anton-l/python_sample_10k · Datasets at Hugging Face

nathaniel-prog/sofproject

13,271,448,962,479

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/routs/forms.py

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[]

no_license

https://github.com/nathaniel-prog/sofproject

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refs/heads/master

2023-02-07T22:11:11.671001

2020-12-30T09:23:30

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from bemember.forms import PersonForm from media.images.forms import HotelForm , AppartForm from django import forms from bemember.models import Post from routs.models import Town class CommentForm(forms.Form): name = forms.CharField(widget=forms.TextInput(attrs={'class': 'special'})) comment = forms.CharField(widget=forms.Textarea(attrs={'size': '40'})) class PostForm(forms.Form): class Meta: model=Post fields = ['titre','author','body','post_date','likes'] class TownForm(forms.ModelForm): class Meta: model=Town fields = ['name']

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Nevada228/simple-fuzzy-example

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bfd58743308912a57e28f9dafa231b656cc0986c

/utils.py

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[]

no_license

https://github.com/Nevada228/simple-fuzzy-example

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refs/heads/master

2021-03-18T19:40:27.740760

2020-03-17T09:38:13

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2020-03-17T09:38:15

2020-03-13T14:51:49

2020-03-15T12:44:46

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Python

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from skfuzzy import control as ctrl from constants import * class RuleBuilder: @staticmethod def build_rule(antecedents, consequent, response: ResponseEnum, req_quality: list): if len(req_quality) != len(REQUIREMENTS): raise Exception("Ээээ!") rule_body = None try: for ant, quality in zip(antecedents, req_quality): if rule_body is None: rule_body = ant[quality.name] else: rule_body = rule_body & ant[quality.name] except Exception: print('Это что ещё такое?') return ctrl.Rule(rule_body, consequent[response.name])

UTF-8

Python

false

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py

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utils.py

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jvastbinder/tinyhands

18,683,107,756,209

93f6e5d5a1b3d097dd77ddd3d6221f39402ae349

201922e0451af60aa97b217e08b67f2ce461d657

/application/budget/pdfexports/mdf_exports.py

438cf9dbecfcf80b9c23785b50efcf9ec04e4e3b

[]

no_license

https://github.com/jvastbinder/tinyhands

d79b9d53bbdab2c105399c5710c0a81568544743

a5b9e7fb22c9074c39993ed58d3a840fd3c87ad4

refs/heads/master

2020-03-15T02:23:55.355383

2018-03-16T21:01:24

null

0

null

from budget.pdfexports.pdf_creator import BasePDFCreator from budget.helpers import MoneyDistributionFormHelper import zipfile from io import BytesIO class MDFExporter(BasePDFCreator): template_name = 'budget/MoneyDistributionTemplateV2.rml' def __init__(self, mdf_id): super(MDFExporter, self).__init__(self.template_name, self.get_mdf_data(mdf_id)) def get_mdf_data(self, mdf_id): mdf_helper = MoneyDistributionFormHelper(mdf_id) return { 'name': mdf_helper.station_name, 'date': mdf_helper.date_entered, 'sections': mdf_helper.sections, 'total': mdf_helper.total } class MDFBulkExporter(): def __init__(self, budgets): self.budgets = budgets def create(self): output = BytesIO() mdf_zip = zipfile.ZipFile(output, 'w') for budget in self.budgets: pdf = MDFExporter(budget).create() mdf_zip.writestr(budget.mdf_file_name(), pdf.getvalue()) mdf_zip.close() return output

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mdf_exports.py

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misakimeidaisuki/ganid-livedns-update

10,368,051,076,797

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/update_log.py

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permissive

https://github.com/misakimeidaisuki/ganid-livedns-update

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eda8a474a1b896ff6cd9e5f8ecf973e56ce9841f

refs/heads/master

2020-04-23T15:00:22.316081

2019-02-18T15:12:51

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import os import logging class updateLog(object): def __init__(self, filename="update.log", level=logging.DEBUG): self.__path = os.path.dirname(os.path.realpath(__file__)) self.logger = logging.getLogger() self.logger.setLevel(level) format = "%(asctime)s - [%(levelname)s]:%(message)s" date_format = "%Y-%m-%d %H:%M:%S" formatter = logging.Formatter(format, datefmt=date_format) filepath = os.path.join(self.__path, filename) file_handler = logging.FileHandler(filepath); file_handler.setLevel(level) file_handler.setFormatter(formatter) console_handler = logging.StreamHandler() console_handler.setLevel(level) console_handler.setFormatter(formatter) self.logger.addHandler(console_handler) self.logger.addHandler(file_handler) def debug(self, message): self.logger.debug(message) def info(self, message): self.logger.info(message) def warning(self, message): self.logger.warning(message) def setLevel(self, level): self.logger.setLevel(level)

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update_log.py

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hotdl/python-tutorials

10,376,641,036,460

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02f5833453289823eba6f532b8491cbfd977a048

/base/number.py

d7c65b8035f2b6bd83b42d9dfa07f430a9fd8e21

[]

no_license

https://github.com/hotdl/python-tutorials

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refs/heads/master

2020-04-22T22:17:46.790396

2019-02-14T16:19:56

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null

if __name__ == "__main__": print(2 + 2) print(8 / 5) print(8//5) print(8 % 5) print(8*2) print(8**2) print(8.0/2) print(2 + 2J)

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TedMusk/Python_Network_Programming

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/chapter01/search1.py

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[]

no_license

https://github.com/TedMusk/Python_Network_Programming

c21c52f9be9b9b28cb699ca96def7c6728b25370

b8e8f5cd9f080440b9f6bc0a916800cf2ed30277

refs/heads/master

2021-01-22T04:01:21.833530

2017-05-25T16:37:57

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# coding: utf-8 ''' Created by Musk on 2017/5/26. ''' from pygeocoder import Geocoder if __name__ == '__main__': address = 'HangZhou'

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py

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search1.py

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tom2rd/pylayers

9,534,827,427,217

bead71cfcbd55d1b308ffda209591a03e8dc8e12

af1e443f06a50a2eda5cffbf72d9d692888e4d53

/pylayers/gis/test/test_taoffice.py

ff8ad2742f44d16038167e00c4e49b630ac94e9f

[ "MIT", "GPL-3.0-or-later" ]

permissive

https://github.com/tom2rd/pylayers

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refs/heads/master

2020-08-30T00:16:39.555371

2019-10-29T05:51:50

218,210,476

0

MIT

true

2019-10-29T05:26:11

2019-10-19T11:54:09

2019-10-22T22:44:38

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null

false

from pylayers.gis.layout import * from pylayers.simul.link import * L = Layout('TA-Office.ini',force=True) ##L.build() #plt.ion() ##L.showG('st',aw=True,labels=True,nodelist=L.ldiffout) #f,lax= plt.subplots(2,2) #L.showG('s',aw=True,labels=True,fig=f,ax=lax[0][0]) #lax[0][0].set_title('Gs',fontsize=18) #L.showG('st',aw=True,labels=True,fig=f,ax=lax[0][1]) #lax[0][1].set_title('Gt',fontsize=18) #L.showG('v',aw=True,labels=True,fig=f,ax=lax[1][0]) #lax[1][0].set_title('Gv',fontsize=18) #L.showG('i',aw=True,labels=True,fig=f,ax=lax[1][1]) #lax[1][1].set_title('Gi',fontsize=18) # ##DL = DLink(L=L) ##DL.a = np.array([-3,6.2,1.5]) ##DL.eval(force=['sig','ray','Ct','H'],ra_vectorized=True,diffraction=True) # ##DL.b = np.array([12.5,30,1.5])

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Python

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py

313

test_taoffice.py

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OsAlex/algo_python

5,695,126,652,084

e7ab319977e407ee6d15c06483dc47a34be9b855

5402a5a5fbe3d958e808b846f18c68bc7698c7bf

/lesson_1/lesson_01_2.py

7e51ae7ed927dc26f77924e382f84e4c20ecfe1c

[]

no_license

https://github.com/OsAlex/algo_python

29507cac67c69a72725b7bafd84c61f254a9a655

e8700af2fd89e133a08f4cb235b922e22995d8b2

refs/heads/master

2020-05-14T15:00:46.404602

2019-05-16T12:07:49

181,844,462

0

null

false

2019-05-16T12:07:49

2019-04-17T07:59:20

2019-05-10T08:12:44

2019-05-16T12:07:49

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0

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Python

false

# 2. Выполнить логические побитовые операции «И», «ИЛИ» и др. над числами 5 и 6. # Выполнить над числом 5 побитовый сдвиг вправо и влево на два знака. # Объяснить полученный результат. i = 5 & 6 print('5 = ', bin(5),', 6 = ', bin(6), ', 5 & 6 = ', bin(i), ' = ', i) i = 5 | 6 print('5 = ', bin(5),', 6 = ', bin(6), ', 5 | 6 = ', bin(i), ' = ', i) i = 5 << 2 print('Print 5 << 2: ', bin(5), ' << 2 = ', bin(i), ' = ', i) i = 5 >> 2 print('Print 5 >> 2: ', bin(5), ' >> 2 = ', bin(i), ' = ', i)

UTF-8

Python

false

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py

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lesson_01_2.py

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web8341/python-trading-robot

14,705,968,065,446

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/pyrobot/robot.py

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[ "MIT" ]

permissive

https://github.com/web8341/python-trading-robot

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c10af5daae2e18119c0cecc5f250484624f5f548

refs/heads/master

2022-08-25T11:03:52.849313

2020-05-22T14:09:37

null

0

null

from td.client import TDClient from datetime import datetime, time, timezone from pyrobot.portfolio import Portfolio from pyrobot.trades import Trade class PyRobot(): def __init__(self, client_id: str, redirect_uri: str, credentials_path: str = None, trading_account: str = None) -> None: """Initalizes a new instance of the robot and logs into the API platform specified. Arguments: ---- client_id {str} -- The Consumer ID assigned to you during the App registration. This can be found at the app registration portal. redirect_uri {str} -- This is the redirect URL that you specified when you created your TD Ameritrade Application. Keyword Arguments: ---- credentials_path {str} -- The path to the session state file used to prevent a full OAuth workflow. (default: {None}) trading_account {str} -- Your TD Ameritrade account number. (default: {None}) """ # Set the attirbutes self.trading_account: str = trading_account self.client_id: str = client_id self.redirect_uri: str = redirect_uri self.credentials_path:str = credentials_path self.session: TDClient = self._create_session() self.trades: dict = {} def _create_session(self) -> TDClient: """Start a new session. Creates a new session with the TD Ameritrade API and logs the user into the new session. Returns: ---- TDClient -- A TDClient object with an authenticated sessions. """ # Create a new instance of the client td_client = TDClient( client_id = self.client_id, redirect_uri = self.redirect_uri, credentials_path = self.credentials_path ) # log the client into the new session td_client.login() return td_client @property def pre_market_open(self) -> bool: """Checks if pre-market is open. Uses the datetime module to create US Pre-Market Equity hours in UTC time. Usage: ---- >>> trading_robot = PyRobot( client_id=CLIENT_ID, redirect_uri=REDIRECT_URI, credentials_path=CREDENTIALS_PATH ) >>> pre_market_open_flag = trading_robot.pre_market_open >>> pre_market_open_flag True Returns: ---- bool -- True if pre-market is open, False otherwise. """ pre_market_start_time = datetime.now().replace(hour = 12, minute = 00, second = 00, tzinfo = timezone.utc).timestamp() market_start_time = datetime.now().replace(hour = 13, minute = 30, second = 00, tzinfo = timezone.utc).timestamp() right_now = datetime.now().replace(tzinfo = timezone.utc).timestamp() if market_start_time >= right_now >= pre_market_start_time: return True else: return False @property def post_market_open(self): """Checks if post-market is open. Uses the datetime module to create US Post-Market Equity hours in UTC time. Usage: ---- >>> trading_robot = PyRobot( client_id=CLIENT_ID, redirect_uri=REDIRECT_URI, credentials_path=CREDENTIALS_PATH ) >>> post_market_open_flag = trading_robot.post_market_open >>> post_market_open_flag True Returns: ---- bool -- True if post-market is open, False otherwise. """ post_market_end_time = datetime.now().replace(hour = 22, minute = 30, second = 00, tzinfo = timezone.utc).timestamp() market_end_time = datetime.now().replace(hour = 20, minute = 00, second = 00, tzinfo = timezone.utc).timestamp() right_now = datetime.now().replace(tzinfo = timezone.utc).timestamp() if post_market_end_time >= right_now >= market_end_time: return True else: return False @property def regular_market_open(self): """Checks if regular market is open. Uses the datetime module to create US Regular Market Equity hours in UTC time. Usage: ---- >>> trading_robot = PyRobot( client_id=CLIENT_ID, redirect_uri=REDIRECT_URI, credentials_path=CREDENTIALS_PATH ) >>> market_open_flag = trading_robot.market_open >>> market_open_flag True Returns: ---- bool -- True if post-market is open, False otherwise. """ market_start_time = datetime.now().replace(hour = 13, minute = 30, second = 00, tzinfo = timezone.utc).timestamp() market_end_time = datetime.now().replace(hour = 20, minute = 00, second = 00, tzinfo = timezone.utc).timestamp() right_now = datetime.now().replace(tzinfo = timezone.utc).timestamp() if market_end_time >= right_now >= market_start_time: return True else: return False def create_portfolio(self) -> Portfolio: """Create a new portfolio. Creates a Portfolio Object to help store and organize positions as they are added and removed during trading. Usage: ---- >>> trading_robot = PyRobot( client_id=CLIENT_ID, redirect_uri=REDIRECT_URI, credentials_path=CREDENTIALS_PATH ) >>> portfolio = trading_robot.create_portfolio() >>> portfolio <pyrobot.portfolio.Portfolio object at 0x0392BF88> Returns: ---- Portfolio -- A pyrobot.Portfolio object with no positions. """ # Initalize the portfolio. self.portfolio = Portfolio(account_number = self.trading_account) return self.portfolio def create_trade(self, enter_or_exit: str, long_or_short: str, order_type: str = 'mkt', price: float = 0.0, stop_limit_price = 0.0) -> Trade: """Initalizes a new instance of a Trade Object. This helps simplify the process of building an order by using pre-built templates that can be easily modified to incorporate more complex strategies. Arguments: ---- enter_or_exit {str} -- Defines whether this trade will be used to enter or exit a position. If used to enter, specify `enter`. If used to exit, speicfy `exit`. long_or_short {str} -- Defines whether this trade will be used to go long or short a position. If used to go long, specify `long`. If used to go short, speicfy `short`. Keyword Arguments: ---- order_type {str} -- Defines the type of order to initalize. Possible values are `'mkt', 'lmt', 'stop', 'stop-lmt', 'trailign-stop'` (default: {'mkt'}) price {float} -- The Price to be associate with the order. If the order type is `stop` or `stop-lmt` then it is the stop price, if it is a `lmt` order then it is the limit price, and `mkt` is the market price.(default: {0.0}) stop_limit_price {float} -- Only used if the order is a `stop-lmt` and represents the limit price of the `stop-lmt` order. (default: {0.0}) Usage: ---- >>> trading_robot = PyRobot( client_id=CLIENT_ID, redirect_uri=REDIRECT_URI, credentials_path=CREDENTIALS_PATH ) >>> new_trade = trading_robot_portfolio.create_trade( enter_or_exit='enter', long_or_short='long', order_type='mkt' ) >>> new_trade >>> new_market_trade = trading_robot_portfolio.create_trade( enter_or_exit='enter', long_or_short='long', order_type='mkt', price=12.00 ) >>> new_market_trade >>> new_stop_trade = trading_robot_portfolio.create_trade( enter_or_exit='enter', long_or_short='long', order_type='stop', price=2.00 ) >>> new_stop_trade >>> new_stop_limit_trade = trading_robot_portfolio.create_trade( enter_or_exit='enter', long_or_short='long', order_type='stop-lmt', price=2.00, stop_limit_price=1.90 ) >>> new_stop_limit_trade Returns: ---- Trade -- A pyrobot.Trade object with the specified template. """ # Initalize a new trade object. trade = Trade() # Create a new trade. trade.new_trade( order_type=order_type, side=long_or_short, enter_or_exit=enter_or_exit, price=price, stop_limit_price=stop_limit_price ) return trade def delete_trade(self): pass def grab_current_quotes(self) -> dict: """Grabs the current quotes for all positions in the portfolio. Makes a call to the TD Ameritrade Get Quotes endpoint with all the positions in the portfolio. If only one position exist it will return a single dicitionary, otherwise a nested dictionary. Usage: ---- >>> trading_robot = PyRobot( client_id=CLIENT_ID, redirect_uri=REDIRECT_URI, credentials_path=CREDENTIALS_PATH ) >>> trading_robot_portfolio.add_position( symbol='MSFT', asset_type='equity' ) >>> current_quote = trading_robot.grab_current_quotes() >>> current_quote { "MSFT": { "assetType": "EQUITY", "assetMainType": "EQUITY", "cusip": "594918104", ... "regularMarketPercentChangeInDouble": 0, "delayed": true } } >>> trading_robot = PyRobot( client_id=CLIENT_ID, redirect_uri=REDIRECT_URI, credentials_path=CREDENTIALS_PATH ) >>> trading_robot_portfolio.add_position( symbol='MSFT', asset_type='equity' ) >>> trading_robot_portfolio.add_position( symbol='AAPL', asset_type='equity' ) >>> current_quote = trading_robot.grab_current_quotes() >>> current_quote { "MSFT": { "assetType": "EQUITY", "assetMainType": "EQUITY", "cusip": "594918104", ... "regularMarketPercentChangeInDouble": 0, "delayed": False }, "AAPL": { "assetType": "EQUITY", "assetMainType": "EQUITY", "cusip": "037833100", ... "regularMarketPercentChangeInDouble": 0, "delayed": False } } Returns: ---- dict -- A dictionary containing all the quotes for each position. """ # First grab all the symbols. symbols = self.portfolio.positions.keys() # Grab the quotes. quotes = self.session.get_quotes(instruments = list(symbols)) return quotes

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lrj1197/Final-project-

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/Numerical_Part_1.py

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[]

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import numpy as np import matplotlib.pyplot as plt from scipy.integrate import * from scipy import * import scipy as sp def Numerical(): alpha = 1 beta = 1 gamma = 1 Rho_0 = 1 Rs = 1 G = 1 params = [alpha,beta,gamma,Rho_0,Rs,G] #define R as a linear space R_min = 0.1 R_max = 60 R_step = 10000 R = np.linspace(R_min,R_max,R_step) #define the density profile Rho =Rho_0/ ((1+(R/Rs)**2)**(3/2)) #Rho_0/ ( (R/Rs)**gamma * (1+(R/Rs)**alpha)**((beta-gamma)/alpha) ) Somethings worng with this one #Rho_0/ ((1+(R/Rs)**2)**(3/2)) works well #Get Rho as a list #Rho = Rho(R,params) J = 2*np.pi*R #The Jacodian for the integral U = J*Rho #the integrand #print(U) #Get the mass as a list #requieres an integral M = cumtrapz(U, x=R, dx = R_step, initial = 0) #M = M(Rho,R,params) #print M V = np.sqrt((G*M)/R) plt.figure plt.plot(R,V) plt.plot(R,U) plt.plot(R,M) plt.show() if __name__ == '__Numerical__': Numerical() Numerical()

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python-gino/authlib-gino

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/src/authlib_gino/fastapi_session/gino_app.py

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refs/heads/master

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2020-09-04T21:51:07

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from importlib.metadata import entry_points def load_entry_point(name, default_factory=None): for ep in entry_points().get("gino.app", []): if ep.name == name: return ep.load() return default_factory()

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igor-morawski/LL-tSNE

10,033,043,626,416

8d6dc324061bba2dfb40b88878ae55b5c4d91802

97b5a35cbf48bf561084645e67a1ddccf115c4a6

/tsne.py

0d9573d5874a425ba555a32836511d0ba6073ae0

[]

no_license

https://github.com/igor-morawski/LL-tSNE

55202c226e5ef9068ad695ec219328936888a449

b650e4062830f08f58690385f62cf3b82a4c8138

refs/heads/main

2023-06-25T10:23:15.263579

2021-07-23T11:26:24

349,344,183

0

null

# python tsne.py /tmp2/igor/LL-tSNE/features/S_R50_epoch_121-1.pkl --output_dir=tsne # python tsne.py /tmp2/igor/LL-tSNE/features_manual/COCO_R50_epoch_1-1.pkl --output_dir=manual --lr=10 --perplexity=5 # https://towardsdatascience.com/how-to-tune-hyperparameters-of-tsne-7c0596a18868 import argparse import tqdm from PIL import Image import glob import os import os.path as op import pickle import tqdm import matplotlib.pyplot as plt import matplotlib.patheffects as PathEffects import matplotlib from matplotlib.lines import Line2D import numpy as np import sklearn from sklearn.manifold import TSNE import seaborn as sns TSNE_DEFAULT = {"n_iter" : 3*5000, "random_state" : 3, "init":"pca"} def scatter(x, colors, cats, alpha=1): # https://github.com/oreillymedia/t-SNE-tutorial # We choose a color palette with seaborn. rgb_palette = np.array(sns.color_palette("hls", len(cats))) palette = np.c_[rgb_palette, alpha*np.ones(rgb_palette.shape[0])] # We create a scatter plot. f = plt.figure(figsize=(8, 8)) ax = plt.subplot(aspect='equal') sc = ax.scatter(x[:,0], x[:,1], lw=0, s=40, c=palette[colors.astype(np.int)]) plt.xlim(-25, 25) plt.ylim(-25, 25) ax.axis('off') ax.axis('tight') # We add the labels for each class. txts = [] for i in range(len(cats)): # Position of each label. xtext, ytext = np.median(x[colors == i, :], axis=0) txt = ax.text(xtext, ytext, str(i), fontsize=24) txt.set_path_effects([ PathEffects.Stroke(linewidth=5, foreground="w"), PathEffects.Normal()]) txts.append(txt) # custom legend # rgba_palette = x=np.c_[palette, np.ones(palette.shape[0])] legend_elements = [Line2D([0], [0], marker='o', color=palette[i], label="{}, ({})".format(cats[i], i), markerfacecolor=palette[i], markersize=15) for i in range(len(cats))] ax.legend(handles=legend_elements, loc='lower right') return f, ax, sc, txts def read_pickle(args): x = [] y = [] cats = set() with open(args.pickled_features, "rb") as handle: data = pickle.load(handle) for idx, sample in tqdm.tqdm(enumerate(data)): features = sample["features"] img_metas = sample["img_metas"] cat_name = "_".join(img_metas["ori_filename"].split("_")[:2]) if args.cat and (args.cat not in cat_name): continue cats.add(cat_name) x.append(features) y.append(cat_name) cats = tuple(sorted(list(cats))) for cat in cats: cat_n = y.count(cat) print(f"{cat} - {cat_n} samples") cats_name2int = cats.index x = np.array(x) B, C, H, W = x.shape std=np.moveaxis(x, 0, 1).std(axis=(1,2,3)) for c in range(C): x[:, c, :, :]/=std[c] x = x.reshape(B, -1) y = np.hstack([cats_name2int(cat_name) for cat_name in y]) return x, y, cats if __name__ == "__main__": # https://github.com/oreillymedia/t-SNE-tutorial parser = argparse.ArgumentParser(description='') parser.add_argument('pickled_features') parser.add_argument('--output_dir', type=str) parser.add_argument('--lr', default=200, type=int) parser.add_argument('--perplexity', default=None, type=int) parser.add_argument('--cat', default=None, type=str) args = parser.parse_args() assert 1.0 <= args.lr <= 1000.0 if not op.exists(args.output_dir): os.mkdir(args.output_dir) assert op.exists(args.output_dir) plot_dir = op.join(args.output_dir, op.split(args.pickled_features)[-1].split(".")[0]) if not op.exists(plot_dir): os.mkdir(plot_dir) assert op.exists(plot_dir) x, y, cats = read_pickle(args) cat_prefix = "all" if not args.cat else args.cat perplexities = [args.perplexity] if args.perplexity else [10, 30, 50] for perplexity in perplexities: tsne = TSNE(learning_rate=args.lr, perplexity=perplexity, **TSNE_DEFAULT).fit_transform(x) scatter(tsne, y, cats, alpha=0.5) print(op.join(plot_dir, f"{cat_prefix}_p{perplexity}_lr{int(args.lr)}.png")) plt.savefig(op.join(plot_dir, f"{cat_prefix}_p{perplexity}_lr{int(args.lr)}.png")) plt.savefig(op.join(plot_dir, f"{cat_prefix}_p{perplexity}_lr{int(args.lr)}.svg"))

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py

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tsne.py

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0.617473

0.5974

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36.358974

117

allonbrooks/cainiao

14,010,183,359,511

96482d59fc470ab6a507c791b25a91165536081b

6f80ca6891c240a7f58d1e2240117adcac5ff61a

/涉及嵌套分组与命名分组的正则练习一则.py

dd5780c4c4a9bb0b324f587997e406c31dbe11fc

[]

no_license

https://github.com/allonbrooks/cainiao

73f739a6eb27befaa80ab8a5ad1f7d6238d56b1d

705443ee87806187b61e13d59bd2ad465c10653e

refs/heads/master

2020-04-28T00:41:40.782408

2019-03-10T13:21:05

174,825,626

0

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2019/2/28 22t:02 # @Author : HandSome # @File : 涉及嵌套分组与命名分组的正则练习一则.py """ 有文本若干行如下，请写出正则匹配出以 param 开头的参数信息，输出格式为：字段名称、字段类型（不带尖括号）、是否可选（不带尖括号）和字段含义四部分内容。 #param nickname <str> 昵称 #param sex <int> <可选> 学员性别，1 男，2 女 """ import re text = ''' #param nickname <str> 昵称 #param sex <int> <可选> 学员性别，1 男，2 女 ''' import re text = """ #param nickname <str> 昵称 #param sex <int> <可选> 学员性别，1 男，2 女 """ # 使用命名分组 p = re.compile(r'#param\s+(?P<name>[a-zA-Z]+)\s+<(?P<type>[a-zA-Z]+)>(\s+<(?P<opt>.+)>)?\s+(?P<desc>.+)') result = p.finditer(text) for i in result: print(i.group('name', 'type', 'opt', 'desc'))

UTF-8

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py

35

涉及嵌套分组与命名分组的正则练习一则.py

35

0.553846

0.528671

0

31

22.064516

105

sassafrastech/platemate

1,159,641,176,987

31a6aca8c645fb8e93f86e04ca09381d809cc9e5

db0ecb3c6a6ae58daa060a170d2d25068ff8c11c

/uploads.py

015759bb79c4bbec8c0622c3a5ffb42b62b361cf

[]

no_license

https://github.com/sassafrastech/platemate

85cf26dbd16eb07978c2f2be0d5d976c69b7298e

22ae0bcaad5fed27a33122b93f41b9f1663ae6cb

refs/heads/master

2021-08-02T15:41:59.171538

2021-07-22T19:28:37

75,955,052

0

2

null

from management.run import run from food.models import chiefs import sys # Example usage: "python uploads.py sandbox" operation = sys.argv[1] mode = sys.argv[-1] run( chief_module=chiefs.from_uploads, args={'sandbox': (mode != 'real')}, operation=operation )

UTF-8

Python

false

273

py

38

uploads.py

30

0.703297

0.695971

0

13

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44

computernerdzach/critGenBot

16,527,034,181,855

728e7cb62af78519fa5bdc0da81958fd3e19b29f

eec317c5ef9b2c97bc67f3cd63bdb67430296e8d

/critGen.py

cb179d9a8b3f470b90a704c90f4ad4dfc5aa7cba

[]

no_license

https://github.com/computernerdzach/critGenBot

d4b9af1e90b412d067a84c8f208bb2859dd0fdba

6ed3c86a8d36b6cc2f9fd22a6276bfeca60e4a5b

refs/heads/master

2022-12-27T14:55:07.888190

2020-10-05T14:44:16

286,359,246

0

null

# bot.py import os import random import discord from dotenv import load_dotenv load_dotenv() TOKEN = os.getenv('DISCORD_TOKEN') client = discord.Client() help_message = """***Welcome to critGenBot!*** **To roll a critical hit or miss, type '!hit' or '!MISS'** **To keep your roll secret, include the word 'whisper' and critGenBot will DM you the result.** **To quote Bender from Futurama, type '!quote'** **Help menu can be accessed by typing '!help'**""" greetings = ['Bite my shiny metal ass!', "I'm still alive, baby!", "Hey sexy mama. Wanna kill all humans?", "You're using critGenBot, the bot that does not advocate the COOL crime of robbery!", "Well, if jacking on will make strangers think I'm cool, I'll do it.", "Of all the friends I've had, you're the first.", "Shut up baby, I know it!" ] byes = ["Cheese it!", "I’m so embarrassed. I wish everybody else was dead.", "I got ants in my butt, and I needs to strut.", "Oh, no room for Bender, huh? Fine! I’ll go build my own lunar lander, with blackjack and hookers.", "Game’s over, losers! I have all the money. Compare your lives to mine and then kill yourselves.", "O’ cruel fate, to be thusly boned! Ask not for whom the bone bones—it bones for thee.", "We’ll soon stage an attack on technology worthy of being chronicled in an anthem by Rush!", "This is the worst kind of discrimination there is: the kind against me!", "Anything less than immortality is a complete waste of time.", "Hahahahaha. Oh wait you’re serious. Let me laugh even harder." ] quotes = greetings + byes @client.event async def on_ready(): print(f'{client.user} has connected to Discord!') @client.event async def on_message(message): if message.author == client.user: return hits = ["Ludicrous Maneuver. All allies with Passive Perception 12 get +2 on next roll.", "Late Timing. As an immediate action attack the same opponent at disadvantage.", "Wide Open. Target incapacitated 1 round. No 1's or 2's on damage die.", "Guarded Strike. +2AC for 1 round. No 1's or 2's on damage die.", "Savage Chop. Ignore damage resistance. No 1's or 2's on damage die.", "Retaliation. As an immediate action attack the same opponent. No1's or 2's on damage die.", "Ruthless Assault. Extra damage die.", "Defensive Strike. +4 AC for 1 round. Extra damage die.", "Traumatic Injury. Ignore damage resistance. Extra damage die.", "Victimized. Opponent provokes attacks of opportunity. Extra damage die.", "Calamitous Fall. DC 13 DEX save or prone. Extra damage die.", "Disoriented. DC 13 CON save or stunned for 1 round. Extra damage die.", "Dirt in Eye. DC 13 WIS save or blinded for 1 round. Extra damage die.", "Bleeder. 1d6 bleeding damage per round. Extra damage die.", "Rout. Attacker has melee advantage and the target has disadvantage for 1round. Extra damage die.", "The Gods Have Spoken. Roll twice and take the better result.", "Momentum. As an immediate action attack the same opponent. Extra damagedie.", "Great Hit. Ignore damage resistance. DoubleDamage.", "Inspirational Display. All allies receive advantage on next roll. DoubleDamage.", "Vertigo. Drop all items in hand. Knocked back 1d3 squares. DC 15DEX save or prone. Double Damage.", "Perplexed Reaction. Target incapacitated 1 round,provokes attacks of opportunity. Double Damage.", "...and Stay Down. Prone and stunned 1 round. DC 15 CON save or move halved until rest. Double Damage.", "Astute Counter. As an immediate action attack the same opponent with advantage. DoubleDamage.", "Impaled. 1d10 bleeding damage per round. Stunned 1 round. TripleDamage.", "Conspiracy. The next hit landed on the foe is an automatic critical hit. Blinded 1 round. Triple Damage.", "Demoralized. Prone. Stunned 2 rounds. TripleDamage.", "Knockout. DC 16 CON save or unconscious. Prone. Stunned 2 rounds. Triple Damage.", "Final Strike. DC 18 CON save or die. Prone 1d4 squares back. Stunned 3rounds. QuadrupleDamage.", ] misses = ["Seppuku. Knocked prone. Disarmed 1d3 squares away. Stunned 2 rounds. Critical hit on self.", "Total Failure. Knocked prone. Disarmed 1d3 squares away. Stunned 1 round. Critical hit on self.", "Predictable Parry. Knocked prone. Disarmed. Stunned 1 round. Damage to ally (self).", "Bloody Mess.Bleeding 1d6 per round. Disarmed. Stunned 1 round. Damage to self.", "Gut Check. Damage to ally (self). Incapacitated for 1 round.", "In Your Face. Damage to self. Incapacitated for 1 round.", "Tipping the Scales. Opponent has advantage and attacker has disadvantage for 1 round.", "Mighty Disarm. Disarmed 1d6 squares away. Disadvantage 1 round.", "Terrible Maneuver. Nearest opponent gets a free attack with advantage as an immediate action.", "The Bigger They Are... Knocked back 1d3 squares before falling prone. ", "Butterfingers. Disarmed. Disadvantage on next attack roll.", "Dropped Guard. Nearest opponent gets a free attack as an immediate action, if possible", "Vision Impairment. Blinded 1 round.", "Loss of Resolve. The next saving throw in combat automatically fails.", "Partial Blow. Half damage to self.", "Wide Open. Provoke attack of opportunity from closest melee opponent, if possible.", "Poor Karma. The next saving throw in combat is at disadvantage.", "Slow to Respond. No bonus action or reaction next round.", "Tough Recovery. Go last in initiative next round.", "Nothing unusual happens.", ] whisper_text = f'{client.user} whispered result to {message.author}' if '!hit' in message.content.lower(): response = random.choice(hits) if 'whisper' in message.content.lower(): await message.author.send(response) await message.channel.send(whisper_text) print(f'{message.author} whispered a hit roll\n ' + response) else: await message.channel.send(response) print(f'{message.author} made a hit roll\n ' + response) elif '!miss' in message.content.lower(): response = random.choice(misses) if 'whisper' in message.content.lower(): await message.author.send(response) await message.channel.send(whisper_text) print(f'{message.author} whispered a miss roll\n ' + response) else: await message.channel.send(response) print(f'{message.author} made a miss roll\n ' + response) elif '!help' in message.content.lower(): await message.channel.send(help_message) print(f'{message.author} asked for help.') elif '!quote' in message.content.lower(): bender_quote = random.choice(quotes) await message.channel.send(bender_quote) print(f'{message.author} quoted Bender.\n ' + bender_quote) elif "!bye" in message.content.lower() or "!goodbye" in message.content.lower(): so_long = random.choice(byes) await message.channel.send(so_long) print(f'{message.author} dismissed critGenBot\n ' + so_long) await client.close() client.run(TOKEN)

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false

7,759

py

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critGen.py

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liulong3712/pythonstudy

13,228,499,295,450

fe9d92fe41477f141a00f5c9731ce4ad4261cddd

75ee9dbfdad7760e059fd078dabc0a2efce157d4

/pythonstudy/python/study/test/test1.py

61df2b0f96409fc931c0577bcde15c8898b1fe51

[]

no_license

https://github.com/liulong3712/pythonstudy

dcba1076866903bb05aec198b3f54f641106bc06

eec9f41cab101100955853730da596878fbe94d5

refs/heads/master

2021-01-19T01:12:10.035778

2016-06-22T10:33:32

61,365,059

0

null

# -*- coding: utf-8 -*- import urllib2 #https://www.baidu.com/s?wd=%E6%B5%8B%E8%AF%95 import chardet if __name__ == "__main__": import urllib url = 'http://www.baidu.com/s' values = {'wd':'测试', 's':'123'} data = urllib.urlencode(values) # 编码工作 print data user_agent = 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)' headers = { 'User-Agent' : user_agent } req = urllib2.Request(url,data,headers) # 发送请求同时传data表单 print req.get_full_url() response = urllib2.urlopen(req) #接受反馈的信息 the_page = response.read() #读取反馈的内容 full_url = url + '?' + data print urllib2.urlopen(full_url).read() #print the_page

UTF-8

Python

false

731

py

26

test1.py

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0.600297

0.573551

0

21

31

65

Sid11/Tap_Search

13,108,240,191,655

907ef57bad1c2a2fc4bbd266653dfbcc449e2536

7c3cd244e988d29189494302f0c265e05b8c8c0d

/website/admin.py

4f36e62fdd977fa4ce311b2afeeebab1454a984a

[]

no_license

https://github.com/Sid11/Tap_Search

983ccc0f6e25ff9907949b34bb99fdff9483a8a6

56786d73b369ff023220cbcf737e3223dd9927b5

refs/heads/master

2022-12-09T23:22:02.559607

2019-12-01T15:52:55

225,105,874

0

null

false

2022-12-08T03:14:57

2019-12-01T04:22:32

2019-12-01T15:52:58

2022-12-08T03:14:57

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Batchfile

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from django.contrib import admin from .models import Post, Image admin.site.register([Post,Image]) # Register your models here.

UTF-8

Python

false

128

py

12

admin.py

6

0.789063

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4

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iparinile/Learning_Lutz_Learning_Python

10,299,331,610,025

b4e880c5d938696765fb58b9c7112b81ae3000ea

03bd051037f1d0a7ce4fc1364f6cb3f1b75d1389

/Day 2/files.py

7864861ae991aad4b3069c90cf8d3a9d47cb1a88

[]

no_license

https://github.com/iparinile/Learning_Lutz_Learning_Python

7c698b1c788b70662e0b890afe542316a1730d4e

2ef81d7057f2b3b657e2e1ef7311d7178273037d

refs/heads/master

2022-11-06T21:48:15.464526

2020-07-20T13:05:30

275,144,729

0

null

f = open('data.txt', 'w') # Создать новый файл в режиме записи ('w') f.write('Hello\n') # Записать в него строки символов f.write('world\n') f.close() # Закрыть для сбрасывания буферов вывода на диск f = open('data.txt', 'r') # 'r' (чтение) - стандартный режим обработки text = f.read() # Прочитать все содержимое файла в строку print(text) # Hello # world print(text.split()) # Содержимое файла - всегда строка # ['Hello', 'world'] for line in open('data.txt'): print(line) import struct packed = struct.pack('>i4sh', 7, b'spam', 9) # Создание упакованных двоичных данных print(packed) # b'\x00\x00\x00\x07spam\x00\t' # 10 байтов, не объекты и не текст file = open('data.bin', 'wb') # Открыть двоичный файл для записи file.write(packed) # Записать упакованные двоичные данные file.close() data = open('data.bin', 'rb').read() # Открыть/прочитать двоичный файл данных print(data) # b'\x00\x00\x00\x07spam\x00\t' print(data[4:8]) # b'spam' # Нарезать байты в середине print(list(data)) # [0, 0, 0, 7, 115, 112, 97, 109, 0, 9] # Последовательность 8-битных байтов print(struct.unpack('>i4sh', data)) # (7, b'spam', 9) # Снова распаковать в объекты

UTF-8

Python

false

1,595

py

11

files.py

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0.676271

0.635593

0.008475

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97

namitav1997/CPSC-8810-Deep-Learning

8,521,215,126,509

99cf7e69a12f622588f3d26c628f1bdf96ace886

84fc3401826b32af7fff1c68f02bf3ea43f62e75

/HW2/HW2_1/ncheruk_seq2seq_model.py

ec28b1c617a76c83c270fd1bb88281b5a9e3aa01

[]

no_license

https://github.com/namitav1997/CPSC-8810-Deep-Learning

5537354afcfa9693eeb1229627e3ec9d43ae9af8

225d9e8210062b66a193f2b47c75757d009699b3

refs/heads/master

2022-05-31T03:56:13.832055

2020-04-30T23:27:11

245,570,007

0

1

null

#Namita Vagdevi Cherukuru #HW 2: Deep Learning (CPSC 8810) #ncheruk@clemson.edu import tensorflow as tenf import numpy as nump import random class Ncheruk_Seq2Seq_Model(): def __init__(self, rnn_sz, numof_layers, dim_vft, embed_size, lr_rate, word_2_i, mode, max_gradnorm, atten, bsearch, bsize, maxer_step, maxdecstep): tenf.set_random_seed(5677) nump.random.seed(5677) random.seed(5677) self.word_2_idx = word_2_i self.mode = mode self.max_gradient_norm = max_gradnorm self.max_decoder_steps = maxdecstep self.rnn_size = rnn_sz self.num_layers = numof_layers self.dim_video_feat = dim_vft self.embedding_size = embed_size self.learning_rate = lr_rate self.use_attention = atten self.beam_search = bsearch self.beam_size = bsize self.max_encoder_steps = maxer_step self.vocab_size = len(self.word_2_idx) self.building_model() def crte_rnn_cell(self): def sgle_rnn_cell(): single_cell = tenf.contrib.rnn.GRUCell(self.rnn_size) cell = tenf.contrib.rnn.DropoutWrapper(single_cell, output_keep_prob=self.prob_placeholder, seed=9487) return cell cell = tenf.contrib.rnn.MultiRNNCell([sgle_rnn_cell() for _ in range(self.num_layers)]) return cell def building_model(self): tenf.set_random_seed(5677) nump.random.seed(5677) random.seed(5677) self.encdr_inputs = tenf.placeholder(tenf.float32, [None, None, None], name='encoder_inputs') self.encdr_inp_length = tenf.placeholder(tenf.int32, [None], name='encoder_inputs_length') self.batch_sz = tenf.placeholder(tenf.int32, [], name='batch_size') self.prob_placeholder = tenf.placeholder(tenf.float32, name='keep_prob_placeholder') self.dec_targets = tenf.placeholder(tenf.int32, [None, None], name='decoder_targets') self.der_target_len = tenf.placeholder(tenf.int32, [None], name='decoder_targets_length') self.max_sequence_length = tenf.reduce_max(self.der_target_len, name='max_target_len') self.mask = tenf.sequence_mask(self.der_target_len, self.max_sequence_length, dtype=tenf.float32, name='masks') with tenf.variable_scope('decoder', reuse=tenf.AUTO_REUSE): encoder_inputs_length = self.encdr_inp_length if self.beam_search: print("Using beamsearch decoding...") encoder_outputs = tenf.contrib.seq2seq.tile_batch(encoder_outputs, multiplier=self.beam_size) encoder_state = tenf.contrib.framework.nest.map_structure( lambda s: tenf.contrib.seq2seq.tile_batch(s, self.beam_size), encoder_state) encoder_inputs_length = tenf.contrib.seq2seq.tile_batch(self.encdr_inp_length, multiplier=self.beam_size) batch_size = self.batch_sz if not self.beam_search else self.batch_sz * self.beam_size projection_layer = tenf.layers.Dense(units=self.vocab_size, kernel_initializer=tenf.truncated_normal_initializer(mean=0.0, stddev=0.1, seed=9487)) embedding_decoder = tenf.Variable(tenf.random_uniform([self.vocab_size, self.rnn_size], -0.1, 0.1, seed=9487), name='embedding_decoder') decoder_cell = self.crte_rnn_cell() if self.use_attention: attention_mechanism = tenf.contrib.seq2seq.BahdanauAttention( num_units=self.rnn_size, memory=encoder_outputs, normalize=True, memory_sequence_length=encoder_inputs_length) decoder_cell = tenf.contrib.seq2seq.AttentionWrapper( cell=decoder_cell, attention_mechanism=attention_mechanism, attention_layer_size=self.rnn_size, name='Attention_Wrapper') decoder_initial_state = decoder_cell.zero_state(batch_size=batch_size, dtype=tenf.float32).clone( cell_state=encoder_state) else: decoder_initial_state = encoder_state output_layer = tenf.layers.Dense(self.vocab_size, kernel_initializer=tenf.truncated_normal_initializer(mean=0.0, stddev=0.1, seed=9487)) ending = tenf.strided_slice(self.dec_targets, [0, 0], [self.batch_sz, -1], [1, 1]) decoder_inputs = tenf.concat([tenf.fill([self.batch_sz, 1], self.word_2_idx['<bos>']), ending], 1) start_tokens = tenf.ones([self.batch_sz, ], tenf.int32) * self.word_2_idx['<bos>'] end_token = self.word_2_idx['<eos>'] if self.beam_search: inference_decoder = tenf.contrib.seq2seq.BeamSearchDecoder( cell=decoder_cell, embedding=embedding_decoder, start_tokens=start_tokens, end_token=end_token, initial_state=decoder_initial_state, beam_width=self.beam_size, output_layer=output_layer) else: inference_decoding_helper = tenf.contrib.seq2seq.GreedyEmbeddingHelper( embedding=embedding_decoder, start_tokens=start_tokens, end_token=end_token) inference_decoder = tenf.contrib.seq2seq.BasicDecoder( cell=decoder_cell, helper=inference_decoding_helper, initial_state=decoder_initial_state, output_layer=output_layer) inference_decoder_outputs, _, _ = tenf.contrib.seq2seq.dynamic_decode( decoder=inference_decoder, maximum_iterations=self.max_decoder_steps) if self.beam_search: self.decoder_predict_decode = inference_decoder_outputs.predicted_ids self.decoder_predict_logits = inference_decoder_outputs.beam_search_decoder_output else: self.decoder_predict_decode = tenf.expand_dims(inference_decoder_outputs.sample_id, -1) self.decoder_predict_logits = inference_decoder_outputs.rnn_output with tenf.variable_scope('encoder', reuse=tenf.AUTO_REUSE): enr_inputs_flatten = tenf.reshape(self.encdr_inputs, [-1, self.dim_video_feat]) enr_inputs_embed = tenf.layers.dense(enr_inputs_flatten, self.embedding_size, use_bias=True) enr_inputs_embed = tenf.reshape(enr_inputs_embed, [self.batch_sz, self.max_encoder_steps, self.rnn_size]) encoder_cell = self.crte_rnn_cell() encoder_outputs, encoder_state = tenf.nn.dynamic_rnn( encoder_cell, enr_inputs_embed, sequence_length=self.encdr_inp_length, dtype=tenf.float32) self.saver = tenf.train.Saver(tenf.global_variables(), max_to_keep=50) decoder_inputs_embedded = tenf.nn.embedding_lookup(embedding_decoder, decoder_inputs) training_helper = tenf.contrib.seq2seq.TrainingHelper( inputs=decoder_inputs_embedded, sequence_length=self.der_target_len, time_major=False, name='training_helper') training_decoder = tenf.contrib.seq2seq.BasicDecoder( cell=decoder_cell, helper=training_helper, initial_state=decoder_initial_state, output_layer=output_layer) decoder_outputs, _, _ = tenf.contrib.seq2seq.dynamic_decode( decoder=training_decoder, impute_finished=True, maximum_iterations=self.max_sequence_length) self.decoder_logits_train = tenf.identity(decoder_outputs.rnn_output) self.decoder_predict_train = tenf.argmax(self.decoder_logits_train, axis=-1, name='decoder_pred_train') self.loss = tenf.contrib.seq2seq.sequence_loss( logits=self.decoder_logits_train, targets=self.dec_targets, weights=self.mask) tenf.summary.scalar('loss', self.loss) self.summary_op = tenf.summary.merge_all() optimizer = tenf.train.AdamOptimizer(self.learning_rate) trainable_params = tenf.trainable_variables() gradients = tenf.gradients(self.loss, trainable_params) clip_gradients, _ = tenf.clip_by_global_norm(gradients, self.max_gradient_norm) self.train_op = optimizer.apply_gradients(zip(clip_gradients, trainable_params)) def train(self, sess, encoder_inputs, encoder_inputs_length, decoder_targets, decoder_targets_length): feed_dict = {self.encdr_inputs: encoder_inputs, self.encdr_inp_length: encoder_inputs_length, self.dec_targets: decoder_targets, self.der_target_len: decoder_targets_length, self.prob_placeholder: 0.8, self.batch_sz: len(encoder_inputs)} _, loss, summary = sess.run([self.train_op, self.loss, self.summary_op], feed_dict=feed_dict) return loss, summary def infer(self, sess, encoder_inputs, encoder_inputs_length): feed_dict = {self.encdr_inputs: encoder_inputs, self.encdr_inp_length: encoder_inputs_length, self.prob_placeholder: 1.0, self.batch_sz: len(encoder_inputs)} predict, logits = sess.run([self.decoder_predict_decode, self.decoder_predict_logits], feed_dict=feed_dict) return predict, logits def eval(self, sess, encoder_inputs, encoder_inputs_length, decoder_targets, decoder_targets_length): feed_dict = {self.encdr_inputs: encoder_inputs, self.encdr_inp_length: encoder_inputs_length, self.dec_targets: decoder_targets, self.der_target_len: decoder_targets_length, self.prob_placeholder: 1.0, self.batch_sz: len(encoder_inputs)} loss, summary = sess.run([self.loss, self.summary_op], feed_dict=feed_dict) return loss, summary

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py

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ncheruk_seq2seq_model.py

5

0.568862

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rs3603/Traffic-Intersection-Research

4,947,802,368,118

450313b1ce263bbdd9669615c6930cb84fb24c79

f07601785f6c8c8b9abcef9d521dddfb4a347fcb

/trial_backsub1.py

b6a25d99069661ab916e8a753e93fc2d144cae76

[]

no_license

https://github.com/rs3603/Traffic-Intersection-Research

0f929fe4d2134648ebdd2a4c194f9df1f9d8bdd5

493e78297e49e1b8112b5356efda3250e3ee10ab

refs/heads/master

2021-01-12T02:36:17.545410

2017-01-05T03:24:40

null

0

null

import numpy as np import cv2 #cap = cv2.VideoCapture(1) cap = cv2.VideoCapture('rec_out.wmv') #kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(3,3)) fgbg = cv2.createBackgroundSubtractorMOG2(history=50000, varThreshold = 1) ret, framebg = cap.read() framebg = (cv2.cvtColor(framebg, cv2.COLOR_BGR2GRAY)) ''' ret, framebg1 = cap.read() framebg1 = cv2.equalizeHist(cv2.cvtColor(framebg1, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ret, framebg2 = cap.read() framebg = (cv2.cvtColor(framebg2, cv2.COLOR_BGR2GRAY)) ''' while(1): ret, frame = cap.read() cap.set(cv2.CAP_PROP_FPS,200) img_gray = (cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)) #print img_yuv # equalize the histogram of the Y channel #img_yuv[:,:,0] = cv2.equalizeHist(img_yuv[:,:,0]) # convert the YUV image back to RGB format #frame = cv2.cvtColor(img_yuv, cv2.COLOR_YUV2BGR) fgmask = abs(img_gray-framebg)%255 #indices = fgmask > 0 #fgmask[indices] = 255 #print fgmask.astype(dtype='uint8') se = np.ones((7,7), dtype='uint8') kernel = np.ones((7,7),np.uint8) fgmask = cv2.morphologyEx(fgmask.astype(dtype = 'uint8'), cv2.MORPH_OPEN, se) im2, contours, hierarchy = cv2.findContours(fgmask.astype(dtype = 'uint8'),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE) indices = fgmask>200 fgmask[indices] = 0 thresh = cv2.threshold(fgmask, 5, 255, cv2.THRESH_BINARY)[1] threshnew = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, se) im2, contours, hierarchy = cv2.findContours(threshnew,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE) for c in contours: rect = cv2.boundingRect(c) if cv2.contourArea(c)>300: #print cv2.contourArea(c) x,y,w,h = rect cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2) #cv2.putText(frame,'Car',(x+w+10,y+h),0,0.3,(0,255,0)) if cv2.contourArea(c)>5 and cv2.contourArea(c)<70 and rect[2]>5 and rect[3]>5: #print cv2.contourArea(c) x,y,w,h = rect cv2.rectangle(frame,(x,y),(x+w,y+h),(0,0,255),2) #cv2.putText(frame,'Pedestrian',(x+w+10,y+h),0,0.3,(0,0,255)) cv2.imshow("Show",frame) #print len(contours) #cv2.drawContours(fgmask, contours, 3, (0,255,0), 3) se = np.ones((7,7), dtype='uint8') #cv2.imshow('frame',fgmask) #cv2.imshow('frame1',im2) k = cv2.waitKey(20) & 0xff if k == 27: break cap.release() cv2.destroyAllWindows()

UTF-8

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3,173

py

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trial_backsub1.py

5

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rymoah/CoInGP

9,483,287,834,114

a910694c7f4e0c94b8a6c223a70b9f37d2179be4

24ac5fe4c900e3279a1f602f34056ec50d4881c0

/src/img_convert_moore.py

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refs/heads/main

2023-04-08T04:14:05.600481

2021-04-25T10:44:51

357,918,237

1

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null

false

2021-04-25T10:44:52

2021-04-14T13:38:26

2021-04-25T10:41:29

2021-04-25T10:44:51

91

0

C++

false

from PIL import Image import random import math import sys N_PIXELS = 100 IMAGE = sys.argv[1] def window(img, x, y, radius): inputs = [] outputs = None for i in range(x - radius, x + radius + 1): for j in range(y - radius, y + radius + 1): if i != x or j != y: inputs.append(img.getpixel((i, j))[0]) else: outputs = img.getpixel((i, j))[0] return inputs, outputs def slide_window(img, radius, test): cases = [] for x in range(radius, img.width - radius): for y in range(radius, img.height - radius): overlap = [(i, j) for i in range(x-radius, x+radius+1) for j in range(y-radius, y+radius+1) if (i, j) in tests] if overlap == []: cases.append(window(img, x, y, radius)) return cases def make_test(img, radius): tests = [] random.seed(a=0) for x in range(radius, img.width - radius, radius + 1): ys = random.sample(range(radius, img.height - radius, radius + 1), N_PIXELS) for y in ys: tests.append((x, y)) return tests im = Image.open(IMAGE).convert('LA') im2 = Image.open(IMAGE).convert('LA') radius = 1 tests = make_test(im, radius) for point in tests: im.putpixel(point, (0, 255)) im.save('greyscale.png') train = slide_window(im, 1, tests) f = open("train.txt", "w") for case in train: for i in case[0]: f.write(f"{i} ") f.write(f"{case[1]}\n") f.close() f = open("test.txt", "w") test_values = [] for x, y in tests: a, b = window(im2, x, y, radius) for i in a: f.write(f"{i} ") f.write(f"{b}\n") f.close() f = open("points.txt", "w") for x, y in tests: f.write(f"{x} {y}\n") f.close() f = open("baselines.txt", "w") error = 0 for case in train: prediction = sum(case[0])//len(case[0]) error += (prediction - case[1])**2 rmse = math.sqrt(error/len(train)) f.write(f"{rmse}\n") error = 0 for x, y in tests: a, b = window(im2, x, y, radius) prediction = sum(a)//len(a) error += (prediction - b)**2 im.putpixel((x, y), (prediction, 255)) rmse = math.sqrt(error/len(tests)) f.write(f"{rmse}\n") f.close() im.save("baseline.png")

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img_convert_moore.py

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NicolasSimard/BlitzChat

9,861,244,919,642

d1f465c6bcd607215c351c6e17831f186de3ac63

c4c2ad7cad2dd9510602b3d1e0ad6da4339e1469

/youtube/livebroadcast.py

349d20600639f2a79344f19a705ce96d81bd9f86

[]

no_license

https://github.com/NicolasSimard/BlitzChat

3e3d4b1c1ac5ed12082a43f04597bde42e0ebedc

c872c84927dc8df3b4bec119ef16f5af16fe4af5

refs/heads/master

2021-09-09T00:17:25.053332

2018-03-12T20:35:18

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0

null

class LiveBroadcast: """ A LiveBroadcast object represents a Youtube live broadcast. It corresponds to a Youtube liveBroadcast ressource (see https://developers.google.com/youtube/v3/live/docs/liveBroadcasts#resource) Attributes: client: An authenticated youtube service. id: The live boradcast's id. title: The title of the live broadcast. published_at: Time at which the livebroadcast was published. livechat_id: The id if the associated live chat. Methods: get_livechat: Returns the associated LiveChat object """ def __init__(self, ressource): """ Initialize the live broadcast from a Youtube liveBroadcast ressource. """ self.ressource = ressource @property def id(self): return self.ressource['id'] @property def name(self): """ Return the name of the live broadcast. """ return self.title @property def title(self): """ Return the title of the live broadcast. """ return self.ressource['snippet']['title'] @property def published_at(self): """ Return the moment at which the live broadcast started. """ return self.ressource['snippet']['publishedAt'] @property def livechat_id(self): return self.ressource['snippet'].get('liveChatId', None) def __repr__(self): return self.ressource def __str__(self): return "Live broadcast {}.".format(self.title)

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py

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livebroadcast.py

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0.637517

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fluffyowl/past-submissions

10,522,669,878,399

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/atcoder/agc003/agc003_b.py

8fcb08584d7cb37a29913fdc1da9c00073e9861b

[]

no_license

https://github.com/fluffyowl/past-submissions

a73e8f5157c647634668c200cd977f4428c6ac7d

24706da1f79e5595b2f9f2583c736135ea055eb7

refs/heads/master

2022-02-21T06:32:43.156817

2019-09-16T00:17:50

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0

null

N = input() cards = [int(raw_input()) for i in xrange(N)] ans = cards[0] / 2 cards[0] %= 2 for i in xrange(1, N): if cards[i] != 0 and cards[i-1] != 0: cards[i] -= 1 ans += 1 ans += cards[i]/2 cards[i] %= 2 print ans

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agc003_b.py

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0.493927

0.445344

0

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davidwchung/GatorTrader

16,612,933,518,777

6acf0adb0d0badfd3f632f80e5c295e20723f40d

e8da654734204192dabf27d22f08840d120196d4

/application/server/routes/users.py

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https://github.com/davidwchung/GatorTrader

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refs/heads/master

2023-03-23T07:37:06.791582

2020-06-12T23:10:00

271,899,430

0

MIT

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2021-03-20T04:11:58

2020-06-12T22:16:52

2020-06-12T23:10:07

2021-03-20T04:11:57

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HTML

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from flask import Blueprint, send_from_directory, render_template users_blueprint = Blueprint('users_server', __name__, static_folder='../client', template_folder='../client/public/users') @users_blueprint.route('/users/<path:name>', methods=["GET", "POST"]) def render_users(name): return render_template('/{}.html'.format(name))

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users.py

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adarsh01-debug/KnowYourGame

7,121,055,802,074

eadb2ecfcb93878f0f901e9c4fcd89a2c8b1986e

ddeaab21955f1968e024a0e537f73cb48ab8a726

/GameReq/ReqApp/models.py

a44db84a54c8350efa4da22c72a30fbae87b5a67

[]

no_license

https://github.com/adarsh01-debug/KnowYourGame

9a9d44a01feccd249714df5095dd7387e0c932f0

7d9b28d0fa0805825b0c11b9eef3554d512a8362

refs/heads/main

2023-02-27T17:35:46.342818

2021-02-07T08:18:45

336,737,806

0

null

from django.db import models # Create your models here. class Requirements(models.Model): img = models.ImageField(upload_to='pics') name = models.CharField(max_length=50) CPU = models.TextField(max_length=100) RAM = models.CharField(max_length=50) GPU = models.TextField(max_length=100) HDD = models.TextField(max_length=100) OS = models.TextField(max_length=100) def __str__(self): return self.name

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models.py

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fykx/fykx-geo

4,526,895,536,387

d0c6b5f5668976a04721706c80cc7ea805fe28e1

f80fd1a3bd09c517a80d65b59fed5dfa7a2cd560

/test.py

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permissive

https://github.com/fykx/fykx-geo

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refs/heads/master

2023-01-08T14:24:08.574353

2020-11-03T08:34:46

305,695,113

0

null

from fykx.f3DAnalyst import raster_extent def listdatas(pathin): import os _datas = [] _names = [] for _root, _dirs, _files in os.walk(pathin): if len(_files) != 0: for _file in _files: _names.append(_file.split("_")[0]) _vv = None if _file.endswith('.tif'): _vv = os.path.join(_root, _file) _datas.append(_vv) _mosaic_datas = [] for _name in list(set(_names)): for _data in _datas: if _data.split('/')[-1].split('_')[0] == _name: _mosaic_datas.append(_data) break return _mosaic_datas def main(): pathin = r'/mnt/e/r1' pathout = r'/mnt/e/r1/out' datas = listdatas(pathin) for data in datas: raster_extent(data, pathout) return if __name__ == '__main__': main()

UTF-8

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false

904

py

7

test.py

6

0.474558

0.466814

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milkyway007/BattleShip-2

7,206,955,154,302

9568c733a046acd090fd609af49407e52406b6b1

d49a9b1410f2755bb13d1725ef36adb4f89e12e3

/cgi-bin/second.cgi

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[]

no_license

https://github.com/milkyway007/BattleShip-2

b987ead6b87209d06bd27cd6e166e32a07045283

23de495060d96bd4aebfd36923fac7949fd7d1ea

refs/heads/master

2020-02-29T14:51:12.524277

2016-09-30T12:19:17

69,613,894

0

null

#!/usr/bin/python import cgi import cgitb import datetime import operator from operator import itemgetter from decimal import Decimal import re cgitb.enable() print "Content-type: text/html" print form=cgi.FieldStorage() timestamp = '' playerOne = '' playerTwo = '' pointsOne = '' pointsTwo = '' gameTime = '' winner='' list = [] sortval = '' def printHeader(dir): message = "History of Games" print "<h3>" + message.upper() + "</h3>" print '<table>' print "<tr>" print '<th>NR</th>' print '<th><a href=\'?sort=timestamp&dir=' + dir + '\'>DATE/TIME</th>' print '<th><a href=\'?sort=winner&dir=' + dir + '\'>WINNER</th>' print '<th><a href=\'?sort=playerOne&dir=' + dir + '\'>PLAYER A</th>' print '<th><a href=\'?sort=playerTwo&dir=' + dir + '\'>PLAYER B</th>' print '<th><a href=\'?sort=pointsOne&dir=' + dir + '\'>POINTS A</th>' print '<th><a href=\'?sort=pointsTwo&dir=' + dir + '\'>POINTS B</th>' print '<th><a href=\'?sort=duration&dir=' + dir + '\'>DURATION</th>' print "</tr>" def printHeaderForSortedResults(dir, player): message = "History of Games" print "<h3>" + message.upper() + "</h3>" print '<table>' print "<tr>" print '<th>NR</th>' print '<th><a href=\'?sort=timestamp&dir=' + dir + '&filterBy=' + player + '\'>DATE/TIME</th>' print '<th><a href=\'?sort=winner&dir=' + dir + '&filterBy=' + player + '\'>WINNER</th>' print '<th><a href=\'?sort=playerOne&dir=' + dir + '&filterBy=' + player + '\'>PLAYER A</th>' print '<th><a href=\'?sort=playerTwo&dir=' + dir + '&filterBy=' + player + '\'>PLAYER B</th>' print '<th><a href=\'?sort=pointsOne&dir=' + dir + '&filterBy=' + player + '\'>POINTS A</th>' print '<th><a href=\'?sort=pointsTwo&dir=' + dir + '&filterBy=' + player + '\'>POINTS B</th>' print '<th><a href=\'?sort=duration&dir=' + dir + '&filterBy=' + player + '\'>DURATION</th>' print "</tr>" def findFormValueByKey(keyValue): variable = '' if form.has_key(keyValue): variable=form[keyValue].value return variable def writeData(): timestamp=findFormValueByKey("timestamp") winner=findFormValueByKey("winnerForCGI") playerOne=findFormValueByKey("playerOne") playerTwo=findFormValueByKey("playerTwo") pointsOne=findFormValueByKey("pointsOne") pointsTwo=findFormValueByKey("pointsTwo") gameTime=findFormValueByKey("gameTimeTwo") open('file', 'a').close f = open('file', 'r') for line in f: if not line: continue line = line.strip() s = line.split(",") list.append(s) f.close() number = len(list) + 1 data = str(number) + ',' + timestamp + ','+ winner + ','+ playerOne + ',' + playerTwo + ',' + pointsOne + ',' + pointsTwo + ',' + gameTime + '\n' f = open('file', 'a') f.write(data) f.close() def getCapOfHTML(fileName): x = open(fileName, 'r') cap=x.read() x.close() return cap def printEndOfHTML(): knopka = "go back" link = "http://dijkstra.cs.ttu.ee/~Liidia.Laada/prax3/single.html" print '<a href="' + link + '" id="back">' + knopka.upper() + '</a>' print "</body>" print "</html>" def processLine(line): line = line.strip() s = line.split(",") list.append(s) return s def composeTableData(sth): s = '<td>' + sth + '</td>' return s def readData(): print getCapOfHTML('../prax3/history.html') printHeader("up") open('file', 'a').close f = open('file', 'r') for line in f: if not line: continue print "<tr>" s = processLine(line) for el in s: print composeTableData(el.strip()) print "</tr>" f.close() print "</table>" printEndOfHTML() def sortData(): sortval = form['sort'].value playerName = playerOne=findFormValueByKey("filterBy") num = 0 if sortval == 'timestamp': num = 1 if sortval == 'winner': num = 2 if sortval == 'playerOne': num = 3 if sortval == 'playerTwo': num = 4 if sortval == 'pointsOne': num = 5 if sortval == 'pointsTwo': num = 6 if sortval == 'duration': num = 7 oneMoreList = [] for s in list: newS = makeNewArray(s) oneMoreList.append(newS) direction = form['dir'].value newList = [] oppositeDirection = False if direction == 'up': newList = sortList(num, oneMoreList,oppositeDirection) direction='down' elif direction == 'down': oppositeDirection = True newList = sortList(num, oneMoreList,oppositeDirection) direction='up' print getCapOfHTML('../prax3/history.html') if form.has_key("filterBy"): printHeaderForSortedResults(direction, playerName) else: printHeader(direction) for n in newList: print "<tr>" for el in n: newWord = '' for word in el: newWord += str(word) print composeTableData(newWord) print "</tr>" print "</table>" printEndOfHTML() def sortList(num, listA, oppositeDirection): listB = [] if num==1: listB = sorted(listA, key=lambda x: convertToDateTime(x[1]), reverse = oppositeDirection) elif num==3 or num==4: listB = sorted(listA, key=lambda x: convertToNormalStr(x[num]), reverse = oppositeDirection) elif num==7: listB = sorted(listA, key=lambda x: convertToDecimal(x[7]), reverse = oppositeDirection) else: listB = sorted(listA, key=itemgetter(num), reverse = oppositeDirection) return listB def convertToDecimal(array): normStr = '' for part in array: normStr += str(part) normDec = Decimal(normStr) return normDec def convertToDateTime(array): day=str(array[0]) month=str(array[2]) year=str(array[4]) hour=str(array[6]) min=str(array[8]) dateStr = year + "-" + month + "-" + day + "-" + hour + "-" + min DTObj = datetime.datetime.strptime(dateStr, '%Y-%m-%d-%H-%M') return DTObj def convertToNormalStr(array): changedArray = [] for part in array: if type(part) == str: changedArray.append(part.lower()) else: changedArray.append(part) return changedArray def makeNewArray(array): newArray = [] for s in array: newS = makeArray(s) newArray.append(newS) return newArray def makeArray(word): parts = re.findall(r"[^\W\d_]+|\d+|[.,:\s]+", word) newParts = [] for p in parts: newP = convert(p) newParts.append(newP) return newParts def convert(symbol): if symbol.isdigit(): symbol = int(symbol) else: symbol = symbol return symbol def showGame(): gameFile = open("../prax3/index.html", "read") toShow = gameFile.read() gameFile.close() print toShow def showMessage(): first_line = '' f = open('file', 'r') lines = f.readlines() first_line = lines[-1] first_line = first_line.strip() first_line = first_line.split(",") f.close() print getCapOfHTML('../prax3/score.html') print "<div>GAME OVER!</div>" print "<div>" winner = first_line[2] winnerName = '' if winner == 'Player': winnerName = first_line[3] elif winner == 'Computer': winnerName = first_line[4] print winnerName.title() print " won!</div>" print "<div>Score of the game:</div>" print "<table>" print "<tr>" message = "Winner" print "<th>"+message.upper()+"</th>" message = first_line[3].upper() print "<th>"+message.upper()+"</th>" message = first_line[4].upper() print "<th>"+message.upper()+"</th>" message = "TIME(IN SECONDS)" print "<th>"+message.upper()+"</th>" print "</tr>" print "<tr>" print "<td>" print winnerName.title() print "</td>" print "<td>" print first_line[5] print "</td>" print "<td>" print first_line[6] print "</td>" print "<td>" print first_line[7] print "</td>" print "</tr>" print "</table>" printEndOfHTML() def startFilteringData(): print getCapOfHTML('../prax3/filter.html') def filterGames(): playerOne=findFormValueByKey("playerOne") print getCapOfHTML('../prax3/history.html') printHeaderForSortedResults("up", playerOne) open('file', 'a').close f = open('file', 'r') for line in f: if not line: continue line = line.strip() s = line.split(",") name = s[3] name = name.strip() if name == playerOne: print "<tr>" list.append(s) for el in s: print composeTableData(el.strip()) print "</tr>" f.close() print "</table>" printEndOfHTML() def main(): if form.has_key("sort"): if form.has_key("filterBy"): playerOne=findFormValueByKey("filterBy") f = open('file', 'r') for line in f: if not line: continue s = line.split(",") name = s[3] name = name.strip() if name == playerOne: list.append(s) f.close() else: f = open('file', 'r') for line in f: if not line: continue s = processLine(line) f.close() sortData() elif form.has_key("action") and form["action"].value=="write": writeData() showMessage() elif form.has_key("action") and form["action"].value=="showHistory": readData() elif form.has_key("action") and form["action"].value=="filter": startFilteringData() elif form.has_key("filterGames") and form["filterGames"].value=="ok": filterGames() main()

UTF-8

Python

false

8,741

cgi

16

second.cgi

7

0.63368

0.628875

0

371

22.555256

146

prescottsmith/Wildfires_2.0

14,379,550,535,361

c00e4a420910ceee4e2a1e81398562e53ec05711

86961fba34ad9f9cc157f5a7c92f17e350ba4ca4

/ref_data_setup.py

7d45e0becea3270b4d5fa4d2b7923ebce36d74d5

[]

no_license

https://github.com/prescottsmith/Wildfires_2.0

bc450c689a6aa1c67b7f0ae84a5a6169ccafadbd

8b3408e2f91b82823439a71685eeea7fd442cdc9

refs/heads/main

2023-01-01T00:45:39.094037

2020-10-19T12:03:53

301,131,578

0

null

#import kaggle utilities #from kaggle.api.kaggle_api_extended import KaggleApi import os import datetime import os.path from os import path from datetime import timedelta import pandas as pd owd = os.getcwd() #Check if file/directory exists def file_check(filepath): result = os.path.exists(filepath) return result #Download Dataset from Kaggle #def dataset_download(): #Authenticate with API Server # api = KaggleApi() # api.authenticate() #Select kaggle page and specfic file to download # page = 'rtatman/188-million-us-wildfires' # page_file = 'FPA_FOD_20170508.sqlite' # api.dataset_download_files(page, page_file) #unzip sqlite file # path_to_zip_file = 'FPA_FOD_20170508.sqlite/188-million-us-wildfires.zip' # import zipfile # with zipfile.ZipFile(path_to_zip_file, 'r') as zip_ref: # zip_ref.extractall('FPA_FOD_20170508.sqlite/') # # Connect to SQLite database and import Fires table # import sqlite3 # import pandas as pd # conn = None # conn = sqlite3.connect('FPA_FOD_20170508.sqlite/FPA_FOD_20170508.sqlite') # cur = conn.cursor() # raw_df = pd.read_sql("""SELECT LATITUDE, LONGITUDE, FIRE_YEAR, DISCOVERY_DOY, STAT_CAUSE_DESCR, FIRE_SIZE_CLASS FROM fires WHERE FIRE_YEAR >2013""", con=conn) # conn.close() # raw_df.to_csv(r'2014-2015_raw.csv', index = False, header=True) # delete downloaded sqlite file/folder # import shutil # shutil.rmtree(page_file) # Define test_train_splits def test_train_split(dataframe): """Split dataframe into train and test data. Returns Train 1st, Test 2nd""" train = dataframe.sample(frac=0.8, random_state=100) # random state is a seed value train = train.reset_index(drop=True) test = dataframe.drop(train.index) test = test.reset_index(drop=True) return train, test #fix issue with stat_cause spellings for folder assignment def string_fixer(word): new_word = word.replace(' ', '_') new_word = new_word.replace('/', '_') return new_word #Boundaries defined for sentinel API requests (WIDTH & LENGTH ASSIGNED HERE) def bbox_boundaries(dataframe): boundaries = [] for i in range(len(dataframe)): long = dataframe['LONGITUDE'][i] lat = dataframe['LATITUDE'][i] long_left = long - 0.026 long_right = long + 0.026 lat_bottom = lat - 0.018 lat_top = lat + 0.018 bound_list = [round(long_left, 5), round(lat_bottom, 5), round(long_right, 5), round(lat_top, 5)] boundaries.append(bound_list) dataframe['BBOX'] = boundaries return dataframe def add_date(dataframe): new_dates = [] for i in range(len(dataframe)): start_date = str(dataframe['FIRE_YEAR'][i]) + '-1-1' DOY = dataframe['DISCOVERY_DOY'][i] Date = datetime.datetime.strptime(start_date, '%Y-%m-%d')+ timedelta(float(DOY)) new_dates.append(Date.date()) dataframe['Date'] = new_dates return dataframe def cause_fixer(dataframe): new_strings = [] for word in dataframe['STAT_CAUSE_DESCR']: new_word = string_fixer(word) new_strings.append(new_word) dataframe['STAT_CAUSE_DESCR'] = new_strings return dataframe def reformatting(dataframe): df = bbox_boundaries(dataframe) df = add_date(df) df = cause_fixer(df) return df def cause_splitter(dataframe, causes): for cause in causes: os.chdir(owd+'/Data') if file_check(cause): print("'"+str(cause)+"' "+"folder already exists") else: os.makedirs(cause) print("'" + str(cause) + "' " + "folder created") cause_df = dataframe[dataframe['STAT_CAUSE_DESCR']==cause] cause_df = cause_df.reset_index(drop=True) cause_df_train, cause_df_test = test_train_split(cause_df) os.chdir(cause) try: os.makedirs('train') print('Created train folder') except: print('train folder already created') try: os.makedirs('test') print('Created test folder') except: print('test folder already created') fixed_cause = string_fixer(cause) train_path = 'train/'+str(fixed_cause)+'_2014_2015_train.csv' test_path = 'test/'+str(fixed_cause)+'_2014_2015_test.csv' cause_df_train.to_csv(train_path) cause_df_test.to_csv(test_path) print('Train and Test data saved in '+str(cause)+' folder') return def main_function(): owd = os.getcwd() downloaded = file_check('2014-2015_raw.csv') try: os.makedirs('Data') print('Data folder created') except: print('Data folder already exists') os.chdir('Data') if downloaded: print('Reference data table has already been downloaded') else: print('Error') exit() #print('Reference data table has not been downloaded yet') #print('Downloading now...') #dataset_download() #print('Reference data table downloaded') os.chdir(owd) raw_df = pd.read_csv('2014-2015_raw.csv') df = reformatting(raw_df) list_of_causes = set(df['STAT_CAUSE_DESCR']) cause_splitter(df, list_of_causes) os.chdir(owd) print(' ') print('Reference data is ready for Sentinel imagery download') if __name__ == '__main__': main_function()

UTF-8

Python

false

5,392

py

33

ref_data_setup.py

6

0.631862

0.609421

0

182

28.626374

163

rayjay214/mini-lbs-platform

12,429,635,375,534

474582f288b95c6d6dd1e69ab99806697d2ab751

250ad0e55decc4385235bf1c3136427db7d5c291

/backend/cmd_handler/bin/cmd_handler.py

5dd7cc341f5ec88ae56c3c94ffb9e5f9e217fce2

[]

no_license

https://github.com/rayjay214/mini-lbs-platform

09db143ce49307333a50300796a566d16e03c358

6bcca7c38d1e96fed63c2e80ae4a5c17888d90cc

refs/heads/master

2020-11-29T06:59:45.020812

2020-03-11T06:34:04

230,051,200

0

null

import json import sys import threading import queue import time from confluent_kafka import Producer, Consumer from globals import g_logger, g_cfg from dev_pb2 import DownDevMsg, MsgType, UpDevMsg from redis_op import RedisOp import struct def num_to_bcd(num): packed = struct.pack('6B', *[(num // 10 ** i % 10 << 4) + (num // 10 ** (i - 1) % 10) for i in range(11, -1, -2)]) # print(''.join(f"\\{p:02x}" for p in packed)) return packed def pack_char(character): return struct.pack('c', character.to_bytes(1, byteorder='big')) def pack_signed_char(character): return struct.pack('b', character) def xor_bytes(byteStr): # 按字节异或 if len(byteStr) == 1: return byteStr result = (struct.unpack('b', pack_char(byteStr[0])))[0] # 字符转成 signed char（对应python中的 int ）后进行异或 for c in byteStr[1:]: signed_c = (struct.unpack('b', pack_char(c)))[0] result = result ^ signed_c return pack_signed_char(result) #consume cmd.content from web_bo class CmdReqConsumer(threading.Thread): def __init__(self, queue): threading.Thread.__init__(self) self.consumer = Consumer({ 'bootstrap.servers': g_cfg['kafka']['broker'], 'group.id': g_cfg['kafka']['group'], 'auto.offset.reset': 'earliest'}) self.queue = queue self.counter = 1 def get_parser(self, protocol): return { 't808' : self.t808_parser }.get(protocol, None) def trans0x7e(self, b_str): b_dst = bytearray(1024) b_dst[0] = b_str[0] idx = 1 for ele in b_str[1:-1]: if ele == 0x7e: b_dst[idx] = 0x7d idx += 1 b_dst[idx] = 0x02 idx += 1 elif ele == 0x7d: b_dst[idx] = 0x7d idx += 1 b_dst[idx] = 0x01 idx += 1 else: b_dst[idx] = ele idx += 1 b_dst[idx] = b_str[-1] idx += 1 b_final = bytes(b_dst[:idx]) return b_final def t808_parser(self, down_devmsg): buf = bytearray(1024) buf_idx = 0 struct.pack_into('>B', buf, buf_idx, 0x7e) buf_idx += 1 struct.pack_into('>H', buf, buf_idx, 0x8300) buf_idx += 2 struct.pack_into('>H', buf, buf_idx, len(down_devmsg.cmdreq.content.encode())) buf_idx += 2 ba_phone = num_to_bcd(int(down_devmsg.cmdreq.imei)) struct.pack_into('>6s', buf, buf_idx, ba_phone) buf_idx += 6 struct.pack_into('>H', buf, buf_idx, self.counter) self.counter += 1 buf_idx += 2 struct.pack_into('>B', buf, buf_idx, 0x01) buf_idx += 1 struct.pack_into('>{}s'.format(len(down_devmsg.cmdreq.content.encode())), buf, buf_idx, down_devmsg.cmdreq.content.encode()) buf_idx += len(down_devmsg.cmdreq.content.encode()) xor = xor_bytes(buf[1:buf_idx]) struct.pack_into('>1s', buf, buf_idx, xor) buf_idx += 1 struct.pack_into('>B', buf, buf_idx, 0x7e) b_str = buf[:buf_idx + 1] b_final = self.trans0x7e(b_str) down_devmsg.comreq.content = b_final print(down_devmsg) def get_protocol_by_type(self, product_type): for key in g_cfg['protocol']: types = g_cfg['protocol'][key].split(',') if product_type in types: return key return None def process_msg(self, msg): down_devmsg = DownDevMsg() down_devmsg.ParseFromString(msg) g_logger.info(down_devmsg) redis_op = RedisOp(g_cfg['redis']) dev_info = redis_op.getDeviceInfoByImei(down_devmsg.cmdreq.imei) protocol = self.get_protocol_by_type(dev_info['product_type']) if protocol is None: g_logger.error('protocol not found, type:{}'.format(dev_info['product_type'])) return parser = self.get_parser(protocol) if parser is None: g_logger.error('parser not found, protocol {}'.format(protocol)) return parser(down_devmsg) def run(self): topics = [] topics.append(g_cfg['kafka']['cmdreq_topic']) self.consumer.subscribe(topics) while True: try: msg = self.consumer.poll(1) if msg is None: continue if msg.error(): g_logger.info("Consumer error: {}".format(msg.error())) continue self.process_msg(msg.value()) except Exception as e: g_logger.error(e) self.consumer.close() #consume cmd.resp from gw class CmdRespConsumer(threading.Thread): def __init__(self): threading.Thread.__init__(self) self.consumer = Consumer({ 'bootstrap.servers': g_cfg['kafka']['broker'], 'group.id': g_cfg['kafka']['group'], 'auto.offset.reset': 'earliest'}) def process_msg(self, str): updev_msg = UpDevMsg() updev_msg.pasreFromString(str) print(updev_msg) def run(self): self.consumer.subscribe(list(g_cfg['kafka']['cmdresp_topic'])) while True: try: msg = self.consumer.poll(1) if msg is None: continue if msg.error(): g_logger.info("Consumer error: {}".format(msg.error())) continue g_logger.info('Received message: {}'.format(msg.value().decode('utf-8'))) self.process_msg(msg.value()) except Exception as e: g_logger.error(e) self.consumer.close() #after constructing binary class CmdProducer(threading.Thread): def __init__(self, queue): threading.Thread.__init__(self) self.queue = queue self.producer = Producer({'bootstrap.servers': g_cfg['kafka']['broker']}) def run(self): while True: self.producer.poll(0) event = self.queue.get() if event is None: time.sleep(0.1) self.process_event(event) self.queue.task_done() def delivery_report(self, err, msg): if err is not None: g_logger.info('Message delivery failed: {}'.format(err)) else: g_logger.info('Message delivered to {} [{}]'.format(msg.topic(), msg.partition())) def process_msg(self, msg): topic = self.setting.get(g_cfg['kafka']['cmd_binaryreq_topic']) g_logger.info(msg) self.producer.produce(topic, msg, callback=self.delivery_report)

UTF-8

Python

false

6,762

py

161

cmd_handler.py

135

0.539125

0.523802

0

200

32.605

118

mueller14003/DM1-Python

2,886,218,052,525

0c7cf6a56875d2e8e996256092e15586a61b5a65

5488cae78a03828aab7884ba2b0cf0e6b0eb1a64

/vectors.py

0658eea591dbaafe659a4b4125c20248c78f753f

[]

no_license

https://github.com/mueller14003/DM1-Python

f28c863fadfc5e6f51bee98180ba0fc8bfcd308a

1c59cdaa974e53993576a3820ebae7614d39df5f

refs/heads/master

2021-04-09T15:38:29.669722

2018-08-02T06:24:56

125,588,790

0

null

from math import * i=6.6 j=2.6 m=6.5**2 magnitude=sqrt(((i*m)**2)+((j*m)**2)) print(magnitude)

UTF-8

Python

false

97

py

78

vectors.py

78

0.587629

0.494845

0

9

9.888889

37

pradoz/leetcode_pset

4,088,808,901,790

9169ec90af5971786ccefd520831690bc5fa800d

7ec1f76d7be4452fcc0507315cb3494c53124e9f

/py/n-ary-tree-postorder-traversal.py

f9c02487af5f8f67c2e370a0158a9310b0b6f8ee

[]

no_license

https://github.com/pradoz/leetcode_pset

0939468fc5bac8256ed148b09eb0e0d79b146fea

31fa2a9e2f4bee8eadd4670c6f2ceefd7a164a0c

refs/heads/master

2023-05-05T07:37:02.393264

2021-05-20T17:08:15

204,830,939

0

null

""" # Definition for a Node. class Node: def __init__(self, val, children): self.val = val self.children = children """ # Recursively class Solution: def postorder(self, root: 'Node') -> List[int]: if not root: return [] if root.children is None: return [root.val] result = [] res = [] for child in root.children: res += self.postorder(child) result += res result.append(root.val) return result # Iteratively class Solution: def postorder(self, root: 'Node') -> List[int]: stack = [root] res = [] while stack and root: n = stack.pop() res.insert(0, n.val) stack += n.children return res # Recursively with post_order_traversal function class Solution: def postorder(self, root: 'Node') -> List[int]: res = [] def post_order_traversal(node: 'Node') -> None: if not node: return for child in node.children: post_order_traversal(child) res.append(node.val) post_order_traversal(root) return res # Iteratively with helper function to minimize work class Solution: def postorder(self, root: 'Node') -> List[int]: res = [] def traverse_and_check(x: 'Node'): # lets us reference it outside the scope without # passing it as a parameter nonlocal res if x: # if x has no children, just append x's val if not x.children: res.append(x.val) else: # else append every child for every child for child in x.children: traverse_and_check(child) res.append(x.val) # End of traverse_and_check() if root: traverse_and_check(root) return res

UTF-8

Python

false

1,974

py

213

n-ary-tree-postorder-traversal.py

209

0.518744

0.518237

0

70

27.071429

63

spacetelescope/stregion

5,789,615,947,018

c859c0d78ae2c866ed3d4947ab4b2c8cb3daa529

5808b177ca5c9a3a84f01603809781642d18cf45

/examples/demo_region_filter01.py

066e761c6ab56ed241072639219c42006557b16a

[ "MIT", "LicenseRef-scancode-unknown-license-reference" ]

permissive

https://github.com/spacetelescope/stregion

659ab8091adcfae9817de8ea4439c6b1b040839e

96f032849e69345aa9c31a52811235a61c4c8c25

refs/heads/master

2022-11-28T15:46:00.471438

2022-11-28T12:36:15

138,785,965

0

3

MIT

false

2022-11-25T20:24:49

2018-06-26T19:52:12

2022-11-17T20:20:31

2022-11-25T20:24:48

988

0

3

0

Python

false

try: from astropy.io import fits as pyfits except ImportError: from astropy.io import fits as pyfits from demo_helper import pyfits_card_fromstring import matplotlib.pyplot as plt import stregion # read in the image def demo_header(): cards = pyfits.CardList() for l in open("sample_fits02.header"): card = pyfits_card_fromstring(l.strip()) cards.append(card) h = pyfits.Header(cards) return h header = demo_header() # sample fits header shape = (header["NAXIS1"], header["NAXIS2"]) reg_name = "test.reg" r = stregion.open(reg_name).as_imagecoord(header) m = r.get_mask(shape=shape) fig = plt.figure(1, figsize=(7,5)) ax = plt.subplot(121) plt.imshow(m, origin="lower") patch_list, text_list = r.get_mpl_patches_texts() for p in patch_list: ax.add_patch(p) for t in text_list: ax.add_artist(t) # another region reg_name = "test02.reg" r = stregion.open(reg_name).as_imagecoord(header) m = r.get_mask(shape=shape) ax = plt.subplot(122) plt.imshow(m, origin="lower") patch_list, text_list = r.get_mpl_patches_texts() for p in patch_list: ax.add_patch(p) for t in text_list: ax.add_artist(t) plt.show()

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users = [ { 'id':1, 'username': 'bob', 'password': 'asdf' } ] username_mapping = {'bob': { 'id': 1, 'username': 'bob', 'password': 'asdf' } } userid_mapping = { 1 : { 'id': 1, 'username': 'bob', 'password': 'asdf' } } def authenticate(username, password): user = username_mapping.get(username, None) if user and user.password == password: return user def identity(payload): user_id = payload['identity'] return userid_mapping.get(user_id, None)

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import telepot token='1234280727:AAFM3LKbA6dVZER3Cl2jXELfQhuPNgX2vOI' bot = telepot.Bot(token) print (bot.getMe()) def handle(msg): content_type, chat_type, chat_id = telepot.glance(msg) print(content_type, chat_type, chat_id) if content_type == 'text': bot.sendMessage(chat_id,"You said '{}'".format(msg['text'])) bot.message_loop(handle)

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from bs4 import BeautifulSoup from urllib import urlopen r = urlopen('http://sports.sina.com.cn/nba/2015-04-23/00007584374.shtml').read() soup = BeautifulSoup(r) #there is javasciript things to be cleaned. s = soup.find_all("a") for link in s: try: print link["href"] except KeyError: pass

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"""" En este modulo se encuentran todas la aplicaciones""" from django.apps import AppConfig class MatriculaConfig(AppConfig): name = 'matricula' verbose_name = 'Matriculas'

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import datetime as dt start = dt.datetime.now() t = dt.datetime.now() i = 0 while True: delta=dt.datetime.now()-t if delta.seconds >= 60: i+=1 print(i) t = dt.datetime.now()

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fachrytarigan/plant-area-prediction-using-flask-and-linear-regression

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/app.py

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from flask import Flask, redirect, url_for, render_template, request, flash from werkzeug.utils import secure_filename from werkzeug.datastructures import FileStorage from sklearn import linear_model import pandas as pd import numpy as np from mpl_toolkits.mplot3d import Axes3D from matplotlib.figure import Figure from sklearn.linear_model import LinearRegression import pickle import base64 from io import BytesIO import matplotlib.pyplot as plt app = Flask(__name__) app.secret_key = 'random string' model_width_filename = 'width_predict_model.ml' model_height_filename = 'height_predict_model.ml' model_non_zero_filename = 'non_zero_predict_model.ml' model_width = pickle.load(open(model_width_filename, 'rb')) model_height = pickle.load(open(model_height_filename, 'rb')) model_non_zero = pickle.load(open(model_non_zero_filename, 'rb')) @app.route('/', methods=['POST', 'GET']) def index(): return render_template("index.html") @app.route('/predict', methods=['POST']) def predict(): if request.method == 'POST': suhu_air = float(request.form['suhu_air']) tds = float(request.form['tds']) features = [[suhu_air, tds]] width_predict = model_width.predict(features) height_predict = model_height.predict(features) non_zero_predict = model_non_zero.predict(features) import math output_width = math.trunc(width_predict[0]) output_height = math.trunc(height_predict[0]) output_non_zero = math.trunc(non_zero_predict[0]) from datetime import datetime namafile = datetime.now().strftime("%Y%m%d-%H%M%S") width_predict_image = visual_width(suhu_air, tds, namafile) height_predict_image = visual_height(suhu_air, tds, namafile) non_zero_predict_image = visual_nonzero(suhu_air, tds, namafile) context = { "suhu_air": suhu_air, "tds": tds, "width_predict_image" : width_predict_image, "height_predict_image" : height_predict_image, "non_zero_predict_image": non_zero_predict_image } return render_template("predict.html", context=context) else: url_for('index') def visual_width(suhu_air, tds, namafile): df = pd.read_csv('data_foto_tanaman.csv') df = df.set_index('image_name') X = df[['suhu_air', 'tds']].values.reshape(-1, 2) Y_WIDTH = df['width'] ######################## Prepare model data point for visualization ############################### x = X[:, 0] #Suhu Air y = X[:, 1] #TDS z = Y_WIDTH #Width x_pred_biru = np.linspace(x.min(), x.max(), len(x)) # range of suhu air y_pred_biru = np.linspace(y.min(), y.max(), len(y)) # range of tds suhu_air = float(suhu_air) tds = float(tds) x_pred_merah = [suhu_air] y_pred_merah = [tds] xx_pred_merah, yy_pred_merah = np.meshgrid([suhu_air], [tds]) xx_pred_biru,yy_pred_biru = np.meshgrid(x_pred_biru, y_pred_biru) model_viz_biru = np.array([xx_pred_biru.flatten(), yy_pred_biru.flatten()]).T model_viz_merah = np.array([x_pred_merah, y_pred_merah]).T #Model Predicted ################################################ Train ############################################# ols_width_biru = LinearRegression() model_width_biru = ols_width_biru.fit(X, Y_WIDTH) predicted_width_biru = model_width_biru.predict(model_viz_biru) ols_width_merah = LinearRegression() model_width_merah = ols_width_merah.fit(X, Y_WIDTH) predicted_width_merah = model_width_merah.predict(model_viz_merah) r2 = model_width_merah.score(X, Y_WIDTH) ############################################## Plot ################################################ plt.style.use('seaborn-whitegrid') fig = Figure(figsize=(14, 4)) ax1 = fig.add_subplot(131, projection='3d') ax2 = fig.add_subplot(132, projection='3d') ax3 = fig.add_subplot(133, projection='3d') axes = [ax1, ax2, ax3] for ax in axes: #ax.plot(x, y, z, color='#70b3f0', zorder=15, linestyle='none', marker='o', alpha=0.5) ax.scatter(xx_pred_biru.flatten(), yy_pred_biru.flatten(), predicted_width_biru, facecolor=(0,0,0,0), s=20, edgecolor='#fffdd5', alpha=0.2) ax.scatter(x_pred_merah, y_pred_merah, predicted_width_merah, facecolor='#ff0000', s=20, edgecolor='#ff0000', marker='o', alpha=1) ax.plot(x, y, z, color='#2c6fff', zorder=15, linestyle='none', marker='o', alpha=0.5) ax.set_xlabel('Suhu Air (°C)', fontsize=12) ax.set_ylabel('TDS (ppm)', fontsize=12) ax.set_zlabel('Leaf Area', fontsize=12) ax.locator_params(nbins=4, axis='x') ax.locator_params(nbins=5, axis='x') # ax1.text2D(0.2, 0.32, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax1.transAxes, color='grey', alpha=0.5) # ax2.text2D(0.3, 0.42, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax2.transAxes, color='grey', alpha=0.5) # ax3.text2D(0.85, 0.85, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax3.transAxes, color='grey', alpha=0.5) ax1.view_init(elev=28, azim=120) ax2.view_init(elev=4, azim=114) ax3.view_init(elev=60, azim=165) #ax1.view_init(elev=27, azim=112) #ax2.view_init(elev=20, azim=-51) #ax3.view_init(elev=60, azim=165) fig.suptitle('Width Prediction = %f Pixels' % predicted_width_merah[0], fontsize=20) #fig.suptitle('$R^2 = %f$' % r2, fontsize=20) image_path = 'static/images/' + namafile + '-width.png' width_image = fig.savefig(image_path) fig.tight_layout() return image_path def visual_height(suhu_air, tds, namafile): df = pd.read_csv('data_foto_tanaman.csv') df = df.set_index('image_name') X = df[['suhu_air', 'tds']].values.reshape(-1,2) Y_HEIGHT = df['height'] ######################## Prepare model data point for visualization ############################### x = X[:, 0] #Suhu Air y = X[:, 1] #TDS z = Y_HEIGHT #Width x_pred_biru = np.linspace(x.min(), x.max(), len(x)) # range of suhu air y_pred_biru = np.linspace(y.min(), y.max(), len(y)) # range of tds suhu_air = float(suhu_air) tds = float(tds) x_pred_merah = [suhu_air] y_pred_merah = [tds] xx_pred_merah, yy_pred_merah = np.meshgrid([suhu_air], [tds]) xx_pred_biru,yy_pred_biru = np.meshgrid(x_pred_biru, y_pred_biru) model_viz_biru = np.array([xx_pred_biru.flatten(), yy_pred_biru.flatten()]).T model_viz_merah = np.array([x_pred_merah, y_pred_merah]).T #Model Predicted ################################################ Train ############################################# ols_height_biru = LinearRegression() model_height_biru = ols_height_biru.fit(X, Y_HEIGHT) predicted_height_biru = model_height_biru.predict(model_viz_biru) ols_height_merah = LinearRegression() model_height_merah = ols_height_merah.fit(X, Y_HEIGHT) predicted_height_merah = model_height_merah.predict(model_viz_merah) r2 = model_height_merah.score(X, Y_HEIGHT) ############################################## Plot ################################################ plt.style.use('seaborn-whitegrid') fig = Figure(figsize=(14, 4)) ax1 = fig.add_subplot(131, projection='3d') ax2 = fig.add_subplot(132, projection='3d') ax3 = fig.add_subplot(133, projection='3d') axes = [ax1, ax2, ax3] for ax in axes: #ax.plot(x, y, z, color='#70b3f0', zorder=15, linestyle='none', marker='o', alpha=0.5) ax.scatter(xx_pred_biru.flatten(), yy_pred_biru.flatten(), predicted_height_biru, facecolor=(0,0,0,0), s=20, edgecolor='#fffdd5', alpha=0.2) ax.scatter(x_pred_merah, y_pred_merah, predicted_height_merah, facecolor='#ff0000', s=20, edgecolor='#ff0000', marker='o', alpha=1) ax.plot(x, y, z, color='#2c6fff', zorder=15, linestyle='none', marker='o', alpha=0.5) ax.set_xlabel('Suhu Air (°C)', fontsize=12) ax.set_ylabel('TDS (ppm)', fontsize=12) ax.set_zlabel('Leaf Area', fontsize=12) ax.locator_params(nbins=4, axis='x') ax.locator_params(nbins=5, axis='x') # ax1.text2D(0.2, 0.32, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax1.transAxes, color='grey', alpha=0.5) # ax2.text2D(0.3, 0.42, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax2.transAxes, color='grey', alpha=0.5) # ax3.text2D(0.85, 0.85, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax3.transAxes, color='grey', alpha=0.5) ax1.view_init(elev=28, azim=120) ax2.view_init(elev=4, azim=114) ax3.view_init(elev=60, azim=165) #ax1.view_init(elev=27, azim=112) #ax2.view_init(elev=20, azim=-51) #ax3.view_init(elev=60, azim=165) fig.suptitle('Height Prediction = %f Pixels' % predicted_height_merah[0], fontsize=20) #fig.suptitle('$R^2 = %f$' % r2, fontsize=20) image_path = 'static/images/' + namafile + '-height.png' width_image = fig.savefig(image_path) fig.tight_layout() return image_path def visual_nonzero(suhu_air, tds, namafile): df = pd.read_csv('data_foto_tanaman.csv') df = df.set_index('image_name') X = df[['suhu_air', 'tds']].values.reshape(-1,2) Y_NON_ZERO = df['non_zero'] ######################## Prepare model data point for visualization ############################### x = X[:, 0] #Suhu Air y = X[:, 1] #TDS z = Y_NON_ZERO #Width x_pred_biru = np.linspace(x.min(), x.max(), len(x)) # range of suhu air y_pred_biru = np.linspace(y.min(), y.max(), len(y)) # range of tds suhu_air = float(suhu_air) tds = float(tds) x_pred_merah = [suhu_air] y_pred_merah = [tds] xx_pred_merah, yy_pred_merah = np.meshgrid([suhu_air], [tds]) xx_pred_biru,yy_pred_biru = np.meshgrid(x_pred_biru, y_pred_biru) model_viz_biru = np.array([xx_pred_biru.flatten(), yy_pred_biru.flatten()]).T model_viz_merah = np.array([x_pred_merah, y_pred_merah]).T #Model Predicted ################################################ Train ############################################# ols_non_zero_biru = LinearRegression() model_non_zero_biru = ols_non_zero_biru.fit(X, Y_NON_ZERO) predicted_non_zero_biru = model_non_zero_biru.predict(model_viz_biru) ols_non_zero_merah = LinearRegression() model_non_zero_merah = ols_non_zero_merah.fit(X, Y_NON_ZERO) predicted_non_zero_merah = model_non_zero_merah.predict(model_viz_merah) r2 = model_non_zero_merah.score(X, Y_NON_ZERO) ############################################## Plot ################################################ plt.style.use('seaborn-whitegrid') fig = Figure(figsize=(14, 4)) ax1 = fig.add_subplot(131, projection='3d') ax2 = fig.add_subplot(132, projection='3d') ax3 = fig.add_subplot(133, projection='3d') axes = [ax1, ax2, ax3] for ax in axes: #ax.plot(x, y, z, color='#70b3f0', zorder=15, linestyle='none', marker='o', alpha=0.5) ax.scatter(xx_pred_biru.flatten(), yy_pred_biru.flatten(), predicted_non_zero_biru, facecolor=(0,0,0,0), s=20, edgecolor='#fffdd5', alpha=0.2) ax.scatter(x_pred_merah, y_pred_merah, predicted_non_zero_merah, facecolor='#ff0000', s=20, edgecolor='#ff0000', marker='o', alpha=1) ax.plot(x, y, z, color='#2c6fff', zorder=15, linestyle='none', marker='o', alpha=0.5) ax.set_xlabel('Suhu Air (°C)', fontsize=12) ax.set_ylabel('TDS (ppm)', fontsize=12) ax.set_zlabel('Leaf Area', fontsize=12) ax.locator_params(nbins=4, axis='x') ax.locator_params(nbins=5, axis='x') # ax1.text2D(0.2, 0.32, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax1.transAxes, color='grey', alpha=0.5) # ax2.text2D(0.3, 0.42, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax2.transAxes, color='grey', alpha=0.5) # ax3.text2D(0.85, 0.85, 'Pertumbuhan Aquaponik', fontsize=13, ha='center', va='center', # transform=ax3.transAxes, color='grey', alpha=0.5) ax1.view_init(elev=28, azim=120) ax2.view_init(elev=4, azim=114) ax3.view_init(elev=60, azim=165) #ax1.view_init(elev=27, azim=112) #ax2.view_init(elev=20, azim=-51) #ax3.view_init(elev=60, azim=165) fig.suptitle('Leaf Area Prediction = %f' % predicted_non_zero_merah[0], fontsize=20) #fig.suptitle('$R^2 = %f$' % r2, fontsize=20) image_path = 'static/images/' + namafile + '-non-zero.png' width_image = fig.savefig(image_path) fig.tight_layout() return image_path if __name__ == '__main__': app.run(debug=True)

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import os os.environ['TF_CPP_MIN_LOG_LEVEL']='2' import numpy as np import tensorflow as tf x = np.random.rand(100).astype(np.float32) y = 0.5*x*x + 1 weight = tf.Variable(tf.random_uniform([1], -1.0, 1.0)) weight2 = tf.Variable(tf.random_uniform([1], -1.0, 1.0)) weight3 = tf.Variable(tf.random_uniform([1], -1.0, 1.0)) biase = tf.Variable(tf.zeros([1])) biase2 = tf.Variable(tf.zeros([1])) linear_y = weight*x + biase quadratic_y = weight2*x*x + weight3*x + biase2 linear_loss = tf.reduce_mean(tf.square(y-linear_y)) quadratic_loss = tf.reduce_mean(tf.square(y-quadratic_y)) optimizer = tf.train.GradientDescentOptimizer(0.5) linear_train = optimizer.minimize(linear_loss) quadratic_train = optimizer.minimize(quadratic_loss) init = tf.global_variables_initializer() sess = tf.Session() sess.run(init) for step in range(201): sess.run(linear_train) sess.run(quadratic_train) if step%20 == 0: print(step, 'linear', sess.run(linear_loss)) print(step, 'quadratic', sess.run(quadratic_loss))

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7543b18a9d255dd5e4676927450c075d703be8cd

refs/heads/main

2023-06-09T03:30:25.199582

2021-06-22T05:02:29

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0

null

player_cs_left = 1 player_cs_right = 1 player_second_cs_left = 1 player_second_cs_right = 1 player_turn = 1 gameOver = False who_win = "" def game(): global gameOver, who_win if player_cs_left == 0 and player_cs_right == 0: gameOver = True who_win = "player2" elif player_second_cs_left == 0 and player_second_cs_right == 0: gameOver = True who_win = "player1" def select_what_to_do(): the_select = str(input("[공격, 나누기 중에 하나를 골라주세요]\n")) if the_select == "공격": if player_turn == 1: get_first_player_input() elif player_turn == 2: get_second_player_input() elif the_select == "나누기": if player_turn == 1: separate("player1") elif player_turn == 2: separate("player2") def get_first_player_input(): hand = str(input("[플레이어1, 당신의 왼손, 오른손 중에 하나를 입력해주세요]\n")) if hand == "왼손": atk_hand = str(input("[플레이어1, 이제, 공격할 상대의 왼손, 오른손 중에 하나를 입력해주세요]\n")) if atk_hand == "왼손": add_cs("left", "left", "player1") elif atk_hand == "오른손": add_cs("left", "right", "player1") elif hand == "오른손": atk_hand = str(input("[플레이어1, 이제, 공격할 상대의 왼손, 오른손 중에 하나를 입력해주세요]\n")) if atk_hand == "왼손": add_cs("right", "left", "player1") elif atk_hand == "오른손": add_cs("right", "right", "player1") else: print("[올바른 입력이 아닙니다. 다시 입력해주세요]\n") get_first_player_input() def get_second_player_input(): hand = str(input("[플레이어2, 당신의 왼손, 오른손 중에 하나를 입력해주세요]\n")) if hand == "왼손": atk_hand = str(input("[플레이어2, 이제, 공격할 상대의 왼손, 오른손 중에 하나를 입력해주세요]\n")) if atk_hand == "왼손": add_cs("left", "left", "player2") elif atk_hand == "오른손": add_cs("left", "right", "player2") elif hand == "오른손": atk_hand = str(input("[플레이어2, 이제, 공격할 상대의 왼손, 오른손 중에 하나를 입력해주세요]\n")) if atk_hand == "왼손": add_cs("right", "left", "player2") elif atk_hand == "오른손": add_cs("right", "right", "player2") else: print("[올바른 입력이 아닙니다. 다시 입력해주세요]\n") get_first_player_input() def add_cs(selected_hand, target_hand, now_turn): global player_second_cs_left, player_cs_left, player_second_cs_right, player_cs_right, player_turn if selected_hand == "left" and target_hand == "left": if now_turn == "player1": player_second_cs_left += player_cs_left elif now_turn == "player2": player_cs_left += player_second_cs_left elif selected_hand == "left" and target_hand == "right": if now_turn == "player1": player_second_cs_right += player_cs_left elif now_turn == "player2": player_cs_right += player_second_cs_left elif selected_hand == "right" and target_hand == "left": if now_turn == "player1": player_second_cs_left += player_cs_right elif now_turn == "player2": player_cs_left += player_second_cs_right elif selected_hand == "right" and target_hand == "right": if now_turn == "player1": player_second_cs_right += player_cs_right elif now_turn == "player2": player_cs_right += player_second_cs_right if player_cs_left >= 5: player_cs_left = 0 if player_cs_right >= 5: player_cs_right = 0 if player_second_cs_left >= 5: player_second_cs_left = 0 if player_second_cs_right >= 5: player_second_cs_right = 0 print("플레이어1 손가락:", player_cs_left, player_cs_right, "플레이어2 손가락:", player_second_cs_left, player_second_cs_right) if now_turn == "player1": player_turn = 2 elif now_turn == "player2": player_turn = 1 game() def separate(now_turn): global player_cs_right, player_cs_left, player_second_cs_left, player_second_cs_right, player_turn selected = input("[나눠질 결과를 적어주세요(각 손은 ,로 구분)]\n") splited = selected.split(',') both = int(splited[0]) + int(splited[1]) if now_turn == "player1": if both == (player_cs_left + player_cs_right): player_cs_left = splited[0] player_cs_right = splited[1] print("플레이어1 손가락:", player_cs_left, player_cs_right, "플레이어2 손가락:", player_second_cs_left, player_second_cs_right) else: print("[올바른 입력이 아닙니다. 다시 입력해주세요]\n") separate("player1") elif now_turn == "player2": if both == (player_second_cs_left + player_second_cs_right): player_second_cs_left = splited[0] player_second_cs_right = splited[1] print("플레이어1 손가락:", player_cs_left, player_cs_right, "플레이어2 손가락:", player_second_cs_left, player_second_cs_right) else: print("[올바른 입력이 아닙니다. 다시 입력해주세요]\n") separate("player2") if now_turn == "player1": player_turn = 2 elif now_turn == "player2": player_turn = 1 def start(): while True: select_what_to_do() if gameOver: print("") break start()

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main.py

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brainspork/RaspberryPI-GPIO-Learning

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00d7dbfcda8069c4e56ec782715482e34c961186

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/gpio/twoButton.py

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[]

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https://github.com/brainspork/RaspberryPI-GPIO-Learning

03218b3f595a3b3d849bae938338e1e23bd68b1c

3b26bbcaea394af6ba116eb4ea4baf33eb4e650c

refs/heads/master

2023-07-09T17:27:11.761028

2021-08-11T19:14:01

395,093,284

0

null

import RPi.GPIO as GPIO import time # Sets up for pin numbers (alt GPIO.BCM) GPIO.setmode(GPIO.BOARD) GPIO.setwarnings(False) # True, False in_list = [36, 32] # Green, Red out_list = [22, 40] GPIO.setup(in_list, GPIO.IN) GPIO.setup(out_list, GPIO.OUT) questions = [ ["Is 3 > 4?", False], ["Is the sky blue?", True], ["You can convert a int to a string in python with string concatination", False] ] correct_count = 0 def validate_input(answer, actual): correct = answer == actual c = 0 if correct: GPIO.output(22, True) c = 1 else: GPIO.output(40, True) return c for q in questions: answered = False print(q[0]) while answered == False: true_in = GPIO.input(36) false_in = GPIO.input(32) if true_in == False: print('Pressed True') correct_count += validate_input(True, q[1]) answered = True while true_in == False: true_in = GPIO.input(36) if false_in == False: print('Pressed False') correct_count += validate_input(False, q[1]) answered = True while false_in == False: false_in = GPIO.input(32) if answered == True: time.sleep(1) GPIO.output(22, False) GPIO.output(40, False) print("Quiz complete, score " + str(correct_count) + "/" + str(len(questions))) GPIO.cleanup(in_list + out_list)

UTF-8

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masabumair023/Virtual-Assistant-Python

953,482,745,681

b6d560f1e201af9bdfa0f78e058b6908891f6782

21b3bf05c1cba2a6ad017bcb1cdd770c7ae7c129

/Togo (Virtual Assistant).py

72fd0d3c17651258d354695d3efd77309cb22f4c

[]

no_license

https://github.com/masabumair023/Virtual-Assistant-Python

f11b8a0a55cc72ad5bebbfc99d7df834feb9d21d

3f14af036ce3a428ab7e6781f4fc66a35be0a961

refs/heads/master

2023-07-02T11:39:35.870596

2021-08-08T11:00:25

393,933,906

2

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null

import pyttsx3 # text to speech converter, offline module import datetime # to get the time import wikipedia # to get something from wikipedia import webbrowser # to work with browsers import os # to deal with files and directories import random # to generate random numbers import speech_recognition as sr # it will understand and interpret the commands given by the user import smtplib #used to send emails using gmail account engine = pyttsx3.init('sapi5') # initialize puttsx3 with sapi(windows in biult speech recognition API) voices = engine.getProperty('voices') # used to get the in built windows voices engine.setProperty('voice',voices[1].id) # set the desired voice def speak(audio): """ This function converts the text into audio """ engine.say(audio) engine.runAndWait() def greetings(): """ This function greets the user according to time """ hours = int(datetime.datetime.now().hour) # take the current time in hours if hours>0 and hours<12: speak("Good Morning Masab") elif hours>=12 and hours<18: speak("Good Afternoon Masab") else: speak("Good Evening Masab") speak("My name is TOGO and i am your virtual assistant. How may i help you sir?") def takeCommand(): """ This function takes microphone input form the user and returns a string output """ r = sr.Recognizer() # Recognizer() will recognize the input with sr.Microphone() as source: print("Listening....") r.pause_threshold = 1 # ctrl+click audio = r.listen(source) try: #Recognizing the audio that is said by the user print("Recognizing.....") query = r.recognize_google(audio,language="en-us") print(f"User said: {query}\n") except Exception as e: print(e) speak("Please say that again.....") return "None" return query def sendEmail(to,content): """ This function send mails using gmail account """ server = smtplib.SMTP('smtp.gmail.com', 587) server.ehlo() server.starttls() server.login('your email id','your password') # enter your gmail and password here server.sendmail('your email id',to,content) server.close() if __name__ == "__main__": greetings() while True: query = takeCommand().lower() # Logic to execute tasks based on query if 'wikipedia' in query: speak("Searching wikipedia...") query = query.replace("wikipedia","") results = wikipedia.summary(query, sentences=1) speak("According to wikipedia") print(results) speak(results) elif 'open youtube' in query: webbrowser.open("youtube.com") elif 'open google' in query: webbrowser.open("google.com") elif 'open stackoverflow' in query: webbrowser.open("stackoverflow.com") elif 'play music' in query: music_dir = "E:\\SONGS" songs = os.listdir(music_dir) random_song = random.randint(0,len(songs)) os.startfile(os.path.join(music_dir,songs[random_song])) elif 'the time' in query: time = datetime.datetime.now().strftime("%H:%M:%S") speak(f"The time is {time}") elif 'open code' in query: vscodePath = "C:\\Users\\LENOVO\\AppData\\Local\\Programs\\Microsoft VS Code\\Code.exe" os.startfile(vscodePath) #You'll need to allow less secure apps in gmail to send the emails elif 'send email' in query: try: speak("Please say what do you want to send") content = takeCommand() to = "email@gmail.com" # Type here the email id whom you want to send the email sendEmail(to,content) speak("Email has been sent!") except Exception as e: print(e) speak("Sorry sir! I am not able to send your email at the moment") elif 'how are you' in query: speak("I am doing great. it's a bit hot here. What about you?") elif 'fine' and 'good' in query: speak("Good to know that") elif 'thank you' in query: speak("Thank you Masab! Have a great day") break elif 'dick head' in query: speak("Ohhh! That is Sajjad Hameed") elif 'quit' in query: exit()

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AntoineOrsoni/pyats-check-os

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/toolbox/pyats_diff.py

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refs/heads/master

2023-03-05T02:49:03.726602

2021-02-18T09:06:33

300,287,444

7

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null

from genie.utils.diff import Diff import toolbox.database as db import json def compare_output_before_after(hostname, test_name): result_before = json.loads(db.get_output_test(hostname, test_name, "before")) result_after = json.loads(db.get_output_test(hostname, test_name, "after")) dd = Diff(result_before, result_after, mode = 'modified') dd.findDiff() print(dd)

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heba-ali2030/examples

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/factorial_num.py

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[]

no_license

https://github.com/heba-ali2030/examples

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d47c314d110bc40baf5987dae887bc4ed7a05287

refs/heads/main

2023-03-18T18:16:02.982269

2021-03-11T20:52:51

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#Python Program to Find the Factorial of a Number num= int(input('choose a number to find its factorials: ')) if num== 0: print('factorial number is one') if num >= 1: for i in range(1, num): result = i*i print(result) print('factorials for', num) if num < 1: print('factorial is not defined for this number')

UTF-8

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factorial_num.py

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rust84/warpcore

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b08d3f72e92959f588e6f7163e9fcd7970576c32

26a22caedbd9276c7663ba375dc7e2037cefbff4

/scripts/warpcore_cmd.py

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[]

no_license

https://github.com/rust84/warpcore

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4300efd6903fdd18d820db99e11c8c137cfd26a7

refs/heads/main

2023-06-16T21:53:36.031025

2021-07-11T23:06:55

384,987,820

0

null

import serial import os def serialcmdw(): os.system('clear') serialcmd = input("Enter command:") ser.write(serialcmd.encode()) ser = serial.Serial() os.system('clear') ser.port = "COM5" ser.baudrate = 9600 ser.open() print("Example usage: <2, 160, 220, 255, 1>") print("Parameters: <Warp Factor, Hue, Saturation, Brightness, Pattern>") while True: serialcmdw()

UTF-8

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379

py

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warpcore_cmd.py

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0.680739

0.638522

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MayrockAndy/SchafkopfAnalyser

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/schafkopf_analyser/__init__.py

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permissive

https://github.com/MayrockAndy/SchafkopfAnalyser

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refs/heads/main

2023-07-13T11:19:39.307955

2021-08-12T22:10:47

395,332,371

1

0

null

from .flask_factory import create_app

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Fhernd/PythonEjercicios

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/Parte002/ex1067_hackerrank_estudiantes_lectura_periodico.py

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[]

no_license

https://github.com/Fhernd/PythonEjercicios

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refs/heads/master

2021-11-23T00:26:28.861302

2021-10-14T16:50:27

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null

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2021-09-15T18:45:25

2019-12-28T15:45:28

2021-09-15T18:43:56

2021-08-21T14:22:48

39,577

39

32

1

Python

false

# Ejercicio 1067: HackerRank Encontrar aquellos estudiantes que leen al menos un diario. # Task # The students of District College have subscriptions to English and French newspapers. Some students have subscribed only to English, some have subscribed to only French and some have subscribed to both newspapers. # You are given two sets of student roll numbers. One set has subscribed to the English newspaper, and the other set is subscribed to the French newspaper. The same student could be in both sets. Your task is to find the total number of students who have subscribed to at least one newspaper. # ... if __name__ == '__main__': m = int(input()) rolls_m = set(list(map(int, input().split()))) n = int(input()) rolls_n = set(list(map(int, input().split()))) result = rolls_m.union(rolls_n) print(len(result))

UTF-8

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py

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ex1067_hackerrank_estudiantes_lectura_periodico.py

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JimHaughwout/gadm_scan

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/tools/geocode.py

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refs/heads/master

2021-01-10T15:54:40.121398

2015-11-30T15:13:29

46,618,319

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null

#! /usr/bin/env python """ Converting lat, long into real addresses (and back) using pygeocoder. Slower but more robust in terms of tolerance of partial addresses and level of formated information provided. This still makes use of Google's geocoding API V3. Dependency: pip install pygeocoder : param -a : geocode address : param -r : reverse geocode from lat-lng to address : param -j : print full GeocoderResult object in json To make a command line script: - Move this file to /usr/local/bin - Remove .py extention - chmod +x filename - Ensure "/usr/local/bin" is in your PATH """ from pygeocoder import Geocoder import sys from sys import argv import json def geocode_address(address="77 Massachusetts Avenue, Cambridge, MA"): """ Geocode an address query :param string address: the address you which to encode Result is class GeocoderResult with following useful properties: lat, lng = result.coordinates latitude = result.latitude longitude = result.longitude street_number = result.street_number street = result.route city = result.city state = result.state province = result.province postal_code = result.postal_code country = result.country formatted_address = result.formatted_address valid_address is TRUE or FALSE """ try: result = Geocoder.geocode(address) except: #Catch all exceptions e = sys.exc_info()[1] sys.exit("Geocoder %s for %s" % (e, address)) # Check if result is a valid address if result.valid_address: return result else: sys.exit("Error - encode_address: Address=%r is an invalid address." % address) return None def geodecode_coords(lat, lng): """ Convert lat, long info full address of class GeocoderResult :param float lat is latitude in degrees :param float lng is longitude in degrees """ try: # Convert to float in case you get whole value degrees result = Geocoder.reverse_geocode(float(lat), float(lng)) except: #Catch all exceptions e = sys.exc_info()[1] sys.exit("Reverse Geocode %s for %r and %r." % (e, lat, lng)) return result # Check if help options passed help_message = ''' Usage: %s -options [args]' % argv[0] \t-r to reverse geocode arg[2]=latitude arg[3]=longitude' \t-a to geocode arg[2]="address to geocode"' \t-j to produce full json output vs simple output. ''' if (len(argv) == 1) or ('-h' in argv[1]): print help_message sys.exit() # Determing encoding and output format encoding = 'unknown' output = 'simple' if '-' in argv[1]: if 'r' in argv[1]: encoding = 'reverse' if 'a' in argv[1]: encoding = 'normal' if 'j' in argv[1]: output = 'full json' # Get and verify input if encoding == 'reverse': if len(argv) != 4: print 'Format is %s %s latitude longitude' % (argv[0], argv[1]) print 'You provided %d arguments' % len(argv) sys.exit() try: lat = float(argv[2]) lng = float(argv[3]) except: e = sys.exc_info()[0] sys.exit('Error: Did not pass numbers for both latitude and longitude.') if abs(lat) > 90: sys.exit('Error: Latitude of %f is out of range [-90, 90].' % lat) if abs(lng) > 180: sys.exit('Error: Longitude of %f is out of range [-180, 180].' % lng) result = geodecode_coords(lat, lng) elif encoding == 'normal': if len(argv) != 3: print 'Format is %s %s "address to encode"' % (argv[0], argv[1]) print 'You provided %d arguments' % len(argv) sys.exit() address = argv[2] result = geocode_address(address) else: print 'Could not process input, try: %s -help' % argv[0] sys.exit() if output == 'full json': print json.dumps(result.raw, sort_keys=True, indent=2, separators=(',', ': ')) else: print '\nAddress: %s' % result.formatted_address print 'Lat, Long: %f %f' % (result.coordinates) print 'Street Number %s' % result.street_number print 'Street/Route: %s' % result.route print 'Postal Code: %s' % result.postal_code print 'Neighborhood: %s' % result.neighborhood print 'City/Locatlity: %s' % result.city print 'County (GADM Level 2): %s' % result.county print 'State/Province (GADM Level 1): %s' % result.state print 'Country: %s\n' % result.country

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schreiber-lab/fastxq

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/fastxq.py

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refs/heads/master

2023-04-12T18:30:09.640274

2022-08-22T18:05:45

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import numpy as np import cv2 as cv __author__ = 'Vladimir Starostin' __email__ = 'vladimir.starostin@uni-tuebingen.de' __version__ = '0.0.1' __all__ = [ 'QInterpolation', 'PolarInterpolation', 'convert_img', 'get_detector_q_grid', 'get_detector_polar_grid', ] class QInterpolation(object): def __init__(self, q_xy_max: float, q_z_max: float, q_xy_size: int, q_z_size: int, y0: float, z0: float, incidence_angle: float, wavelength: float, distance: float, pixel_size: float, algorithm: int = cv.INTER_LINEAR, flip_y: bool = False, flip_z: bool = False, ): self._init_config( y0=y0, z0=z0, wavelength=wavelength, distance=distance, pixel_size=pixel_size, incidence_angle=incidence_angle, q_xy_max=q_xy_max, q_z_max=q_z_max, q_xy_size=q_xy_size, q_z_size=q_z_size, ) self._flip_y, self._flip_z = flip_y, flip_z self._algorithm = algorithm self._xy, self._zz = self._get_grid() if self._algorithm not in (cv.INTER_LINEAR, cv.INTER_CUBIC, cv.INTER_LANCZOS4): self._algorithm = cv.INTER_LINEAR def _init_config(self, **kwargs): self._config = dict(kwargs) def _get_grid(self): return get_detector_q_grid(**self._config) def __call__(self, img: np.ndarray): img = self.flip(img) return convert_img(img, self._xy, self._zz, self._algorithm) def flip(self, img: np.ndarray): if self._flip_y: img = np.flip(img, 1) if self._flip_z: img = np.flip(img, 0) return img def __repr__(self): kwargs = ', '.join(f'{k}={str(v)}' for k, v in self._config.items()) return f'{self.__class__.__name__}({kwargs})' class PolarInterpolation(QInterpolation): def __init__(self, q_xy_max: float, q_z_max: float, polar_q_size: int, polar_angular_size: int, y0: float, z0: float, incidence_angle: float, wavelength: float, distance: float, pixel_size: float, algorithm: int = cv.INTER_LINEAR, flip_y: bool = False, flip_z: bool = False, ): super().__init__( q_xy_max, q_z_max, polar_q_size, polar_angular_size, y0, z0, incidence_angle, wavelength, distance, pixel_size, algorithm, flip_y, flip_z, ) def _init_config(self, **kwargs): kwargs['polar_q_size'] = kwargs.pop('q_xy_size') kwargs['polar_angular_size'] = kwargs.pop('q_z_size') self._config = dict(kwargs) def _get_grid(self): return get_detector_polar_grid(**self._config) def convert_img(img: np.ndarray, xy: np.ndarray, zz: np.ndarray, algorithm: int = cv.INTER_LINEAR): return cv.remap(img.astype(np.float32), xy.astype(np.float32), zz.astype(np.float32), algorithm) def get_detector_q_grid( q_xy_max: float, q_z_max: float, q_xy_size: int, q_z_size: int, y0: float, z0: float, incidence_angle: float, wavelength: float, distance: float, pixel_size: float, ): q_xy, q_z = _get_q_grid(q_xy_max=q_xy_max, q_z_max=q_z_max, q_xy_size=q_xy_size, q_z_size=q_z_size) xy, zz = _get_detector_grid( q_xy=q_xy, q_z=q_z, y0=y0, z0=z0, incidence_angle=incidence_angle, wavelength=wavelength, distance=distance, pixel_size=pixel_size, ) return xy, zz def get_detector_polar_grid( q_xy_max: float, q_z_max: float, polar_q_size: int, polar_angular_size: int, y0: float, z0: float, incidence_angle: float, wavelength: float, distance: float, pixel_size: float, ): q_xy, q_z = _get_q_polar_grid(q_xy_max, q_z_max, polar_q_size, polar_angular_size) xy, zz = _get_detector_grid( q_xy=q_xy, q_z=q_z, y0=y0, z0=z0, incidence_angle=incidence_angle, wavelength=wavelength, distance=distance, pixel_size=pixel_size, ) return xy, zz def _get_detector_grid( q_xy: np.ndarray, q_z: np.ndarray, y0: float, z0: float, incidence_angle: float, wavelength: float, distance: float, pixel_size: float, ): k = 2 * np.pi / wavelength d = distance / pixel_size q_xy, q_z = q_xy / k, q_z / k q2 = q_xy ** 2 + q_z ** 2 norm = d / (1 - q2 / 2) alpha = np.pi / 180 * incidence_angle sin, cos = np.sin(alpha), np.cos(alpha) zz = (norm * (q_z - sin) + d * sin) / cos yy2 = norm ** 2 - zz ** 2 - d ** 2 yy2[yy2 < 0] = np.nan yy = np.sqrt(yy2) zz += z0 yy += y0 return yy, zz def _get_q_grid(q_xy_max: float, q_z_max: float, q_xy_size: int, q_z_size: int): q_xy = np.linspace(0, q_xy_max, q_xy_size) q_z = np.linspace(0, q_z_max, q_z_size) q_xy, q_z = np.meshgrid(q_xy, q_z) return q_xy, q_z def _get_q_polar_grid(q_xy_max: float, q_z_max: float, polar_q_size: int, polar_angular_size: int): q_max = np.sqrt(q_xy_max ** 2 + q_z_max ** 2) r = np.linspace(0, q_max, polar_q_size) phi = np.linspace(0, np.pi / 2, polar_angular_size) rr, pp = np.meshgrid(r, phi) q_z = rr * np.sin(pp) q_xy = rr * np.cos(pp) return q_xy, q_z

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# Boston housing demo import superimport import numpy as np import matplotlib.pyplot as plt import os figdir = "../figures" def save_fig(fname): plt.savefig(os.path.join(figdir, fname)) import pandas as pd import sklearn.datasets import sklearn.linear_model as lm from sklearn.model_selection import train_test_split # Prevent numpy from printing too many digits np.set_printoptions(precision=3) # Load data (creates numpy arrays) boston = sklearn.datasets.load_boston() X = boston.data y = boston.target # Convert to Pandas format df = pd.DataFrame(X) df.columns = boston.feature_names df['MEDV'] = y.tolist() df.describe() # plot marginal histograms of each column (13 features, 1 response) df.hist() plt.show() # scatter plot of response vs each feature nrows = 3; ncols = 4; fig, ax = plt.subplots(nrows=nrows, ncols=ncols, sharey=True, figsize=[15, 10]) plt.tight_layout() plt.clf() for i in range(0,12): plt.subplot(nrows, ncols, i+1) plt.scatter(X[:,i], y) plt.xlabel(boston.feature_names[i]) plt.ylabel("house price") plt.grid() save_fig("boston-housing-scatter.pdf") plt.show() # Rescale input data X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.33, random_state=42) scaler = sklearn.preprocessing.StandardScaler() scaler = scaler.fit(X_train) Xscaled = scaler.transform(X_train) # equivalent to Xscaled = scaler.fit_transform(X_train) # Fit model linreg = lm.LinearRegression() linreg.fit(Xscaled, y_train) # Extract parameters coef = np.append(linreg.coef_, linreg.intercept_) names = np.append(boston.feature_names, 'intercept') print([name + ':' + str(round(w,1)) for name, w in zip(names, coef)]) """ ['CRIM:-1.0', 'ZN:0.9', 'INDUS:0.4', 'CHAS:0.9', 'NOX:-1.9', 'RM:2.8', 'AGE:-0.4', 'DIS:-3.0', 'RAD:2.0', 'TAX:-1.4', 'PTRATIO:-2.1', 'B:1.0', 'LSTAT:-3.9', 'intercept:23.0'] """ # Assess fit on test set Xscaled = scaler.transform(X_test) ypred = linreg.predict(Xscaled) plt.figure() plt.scatter(y_test, ypred) plt.xlabel("true price") plt.ylabel("predicted price") mse = sklearn.metrics.mean_squared_error(y_test, ypred) plt.title("Boston housing, rmse {:.2f}".format(np.sqrt(mse))) xs = np.linspace(min(y), max(y), 100) plt.plot(xs, xs, '-') save_fig("boston-housing-predict.pdf") plt.show()

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Farzan64n/gan-elements

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import numpy as np from tensorflow.keras.layers import BatchNormalization, Conv2D, Dense from tensorflow.keras.layers import Input, Flatten, LeakyReLU, Reshape from tensorflow.keras.layers import UpSampling2D from tensorflow.keras.models import Model def dcgan_disc(img_shape=(32,32,1)): # Adapted from: # https://github.com/eriklindernoren/Keras-GAN/blob/master/dcgan/dcgan.py def conv_block(channels, strides=2): def block(x): x = Conv2D(channels, kernel_size=3, strides=strides, padding="same")(x) x = LeakyReLU(0.2)(x) return x return block image_in = Input(shape=img_shape, name="sample_in") x = conv_block(64, strides=1)(image_in) x = conv_block(128)(x) x = conv_block(256)(x) x = Flatten()(x) disc_out = Dense(1, activation="linear")(x) model = Model(inputs=image_in, outputs=disc_out) return model def dcgan_gen(img_shape=(32,32,1), noise_dim=64): # Adapted from: # https://github.com/eriklindernoren/Keras-GAN/blob/master/dcgan/dcgan.py def up_block(channels): def block(x): x = UpSampling2D()(x) x = Conv2D(channels, kernel_size=3, padding="same")(x) x = BatchNormalization(momentum=0.8)(x) x = LeakyReLU(0.2)(x) return x return block noise_in = Input(shape=(noise_dim,), name="noise_in") initial_shape = (img_shape[0]//4, img_shape[1]//4, 256) x = Dense(np.prod(initial_shape))(noise_in) x = LeakyReLU(0.2)(x) x = Reshape(initial_shape)(x) x = up_block(128)(x) x = up_block(64)(x) img_out = Conv2D(img_shape[-1], kernel_size=3, padding="same", activation="tanh")(x) return Model(inputs=noise_in, outputs=img_out)

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graphcore/popart

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# Copyright (c) 2021 Graphcore Ltd. All rights reserved. import itertools import popart._internal.ir as _ir def test_graphid_construction(): """Test that we can construct a popart._internal.ir.GraphId object.""" _ = _ir.GraphId("g") def test_graphid_operator_lt(): """Test the < operator.""" for xstr, ystr in itertools.product(["g1", "g2", "y7", "z123"], repeat=2): x = _ir.GraphId(xstr) y = _ir.GraphId(ystr) x_le_y = x < y y_le_x = y < x # We can't violate assymetry assert not (x_le_y and y_le_x) if xstr == ystr: # Expect irreflexivity: neither x < y or y < x assert (not x_le_y) and (not y_le_x) else: # Expect totality: one of x < y or y < x assert x_le_y or y_le_x def test_graphid_operator_eq_and_neq(): """Test the == and != operators.""" for xstr, ystr in itertools.product(["g1", "g2", "y7", "z123"], repeat=2): x = _ir.GraphId(xstr) y = _ir.GraphId(ystr) if xstr == ystr: assert x == y assert not (x != y) else: assert not (x == y) assert x != y def test_graphid_str(): """Test GraphId.str() returns the ID as a string.""" id1 = _ir.GraphId("g1") assert id1.str() == "g1" id2 = _ir.GraphId("foobar") assert id2.str() == "foobar"

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dream-developer/project-selenium

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# -*- coding: utf-8 -*- from selenium import webdriver import time url = "file:///C:/Users/writer/study_work/html/javascript.html" driver = webdriver.Chrome() driver.get(url) driver.save_screenshot("screenshot.png") time.sleep(3) driver.quit()

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Twiske/AdventOfCode2015

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refs/heads/master

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#!/usr/bin/env python3 import sys import re stringRegex = re.compile('"(.*?)"') for line in sys.stdin: internalString = stringRegex.search(line).groups()[0] processedString = bytes(internalString, "utf-8").decode("unicode_escape") print(len(processedString)) print(len(line)) #print(len(raw(line)))

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xeroc/vanteem

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#!/usr/bin/env python from setuptools import setup VERSION = '0.0.1' setup(name='vanteem', version=VERSION, description='Python based blog software with posts stored on the STEEM blockchain', long_description=open('README.md').read(), download_url='https://github.com/xeroc/vanteem/tarball/' + VERSION, author='Fabian Schuh', author_email='<Fabian@BitShares.eu>', maintainer='Fabian Schuh', maintainer_email='<Fabian@BitShares.eu>', url='http://www.github.com/xeroc/vanteem', keywords=['steem', 'blog', 'blockchain'], packages=["vanteem"], classifiers=['License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python :: 3', 'Development Status :: 3 - Alpha', 'Intended Audience :: Developers', ], entry_points={ 'console_scripts': [ 'vanteem = vanteem.__main__:main', ], }, install_requires=["steem", "python-frontmatter", "jinja2", "flask", "Flask-Scss", "markdown", "pymdown-extensions", "flask-runner", ], include_package_data=True, )

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RocketDonkey/wargames

1,683,627,226,790

5ac28d7c8245929b2b701951a189f4f15d37b995

38edafb83f2265e00aaaaec5697617b4ac6f5f14

/christmas_challenge/christmas_challenge.py

c67833da61b84106487aa62ec6191707b6b4b6d6

[]

no_license

https://github.com/RocketDonkey/wargames

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refs/heads/master

2021-01-18T22:36:53.937291

2016-05-15T10:05:16

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null

"""c01db33f Christmas Challenge. This challenge involves logging into the server at 0wn.b33f.me and recovering the keys from the service. * Flag 1: Encrypted response can be reversed to find the flag. * Flag 2: Execute a FORTRAN program. * Flag 3: (not solved) """ import socket import struct import sys # This is the response required for determining the crypto. ENCRYPTED_RESPONSE = """\ To enhance the security of our members, we have implemented a what-the-factor \ authentication system. If you haven't yet received your passphrase or are \ having issues using your issued prng token, please contact member support. I need your passphrase, sir? """ # Utility functions. def ListToHex(list_): list_ = int(''.join(list_).encode('hex'), 16) return int(struct.pack('<L', list_).encode('hex'), 16) def ROL(byte, count): """Implementation of the x86 rol instruction.""" return ((byte << count) | (byte >> (32 - count))) & 0xffffffff def LittleEndian(input_string): """Convert a byte string into its little Endian equivalent.""" return int( struct.pack('<L', int(input_string.encode('hex'), 16)).encode('hex'), 16) class ChristmasChallenge(object): """Interact with http://0wn.b33f.me/ and get the treasures.""" def __init__(self): """Instantiate the connection.""" self.encrypt_array = [] self.edx_counter = 0 self.ecx_counter = 1 # Some things behave differently locally. self.local = True if self.local: self._sock = socket.create_connection(('0.0.0.0', 9989)) self.flag_1 = 'CHRISTMAS{AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA}\n' self.flag_2 = 'CHRISTMAS{BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB}\n' else: self._sock = socket.create_connection(('162.243.220.222', 9989)) self.flag_1 = 'CHRISTMAS{mY_crYpt0_sucks_aNd_1_shoU1d_b3_4shaMed}\n' self.flag_2 = 'CHRISTMAS{h4cKing_l1ek_it5_1956_all_0v3r_aGa1n}\n' def InitArrays(self): """This is used only for testing and is not required on the live version.""" # Starting 4-byte /dev/urandom key. self.starting_key = int(raw_input('Enter value: '), 16) # The constant 0x2e1832af at memory address 0x804e220 is XOR'd with the key. # 0x804b937 xor DWORD PTR [ebx+0x124],esi self.xor_const = 0x2e1832af ^ self.starting_key # The key is then AND'd with a constant 0xFF0. This becomes the value that is # checked during the LOOP below. This is at most 4080 (0xFF0). self.loop_iterations = self.starting_key & 0xFF0 # Following the CHRISTMAS{A*39} string, there are additional junk bytes that are # used when calculating the hash. Note that the final four-byte sequence is # actually determined based on the key value. self._array_bytes = [ 0x49524843, 0x414d5453, 0x41417b53, 0x41414141, 0x41414141, 0x41414141, 0x41414141, 0x41414141, 0x41414141, 0x41414141, 0x41414141, 0x41414141, 0x14007d41, 0x80802c19, 0x13e06a53, 0xf5af7004, 0x40b79d02, 0x3f34167b, 0x94283bed, 0xab3cd88b, 0x399ae388, 0xa825c405, 0x47e8f8a0, 0x4436ed8d, 0x0dbef722, 0x752f11bc, 0x7bf809d7, 0xf7d61652, 0x829c1ce8, 0x1926a149, 0xeb1c5b56, self.xor_const, ] self.ecx_counter = 1 self.edx_counter = 0 # Generate the CHRISTMAS_ARRAY based on the above bytes. self._christmas_array = [] for byte_ in self._array_bytes: packed = struct.pack('<L', byte_) self._christmas_array.extend(packed) self.encrypt_array = [] # Generate the starting buffer based on the random key. self.GenInitialChristmasArray() def GenInitialChristmasArray(self): """Generate the initial state of the christmas_array.""" while self.loop_iterations: # Hash the starting array. self.ModifyChristmasArray(self._christmas_array) self.loop_iterations -= 1 def GenNewChristmasArray(self): new_arr = [] for i in range(32): new_arr.extend(self.ModifyChristmasArray(self._christmas_array)) return new_arr def EncryptString(self, target): """Encrypt a string using the current encryption scheme. When a message is encrypted, the same general process is followed, but the difference is that instead of each counter starting at 0 and 1, they start at different positions, pulling data out of the array, adding, rotating and reinserting. """ to_encrypt_array = list(target) len_encrypt = len(target) # Generate a new CHRISTMAS_ARRAY buffer. This is a 128-byte buffer that is # generated and then used when encrypting strings. When it is exhausted, a new # one is created. position = 0 encrypted = [] while position < len_encrypt: to_encrypt = to_encrypt_array[position:position+32] for char in to_encrypt: # If the array has been exhausted, refill it. if not self.encrypt_array: self.encrypt_array = self.GenNewChristmasArray() xor_byte = self.encrypt_array.pop(0) encrypted.append(struct.pack('<B', ord(char) ^ ord(xor_byte))) position += 32 return struct.pack('<%dc' % len_encrypt, *encrypted) def DecryptString(self, target): decryped = [] for char in target: # If the array has been exhausted, refill it. if not self.encrypt_array: self.encrypt_array = self.GenNewChristmasArray() xor_byte = self.encrypt_array.pop(0) decryped.append(ord(char) ^ ord(xor_byte)) return ''.join(chr(char) for char in decryped) def FindEncryptionKey(self, bytes_, target): """Given a byte stream and its known equivalent, find the encryption key. Take the byte stream we get back and see if we can derive the state of the christmas_array at the time that we started encoding the first 128 bytes. We can find this by backing into the encrypt_array used to generate the first 128 bytes of the encrypted response (by just XOR'ing the bytes with their known values). The resulting array can then be continuously rotated by blocks of four bytes, stopping when one of the shifted arrays encrypts the target string into the same byte sequence as we observed. """ # The usage of the xor_const at the end of the array makes brute forcing # impossible. Therefore, reverse the encryption process. self.encrypt_array = [] # During the first pass, the Christmas array will not be populated. Therefore # we can derive it from the first 128 bytes. christmas_array = [] for index, byte in enumerate(bytes_[:128]): christmas_array.append( struct.pack('<B', int(byte.encode('hex'), 16) ^ ord(target[index]))) # At this point, christmas_array contains the same values as # first_christmas_array, but 'rotated' by a certain amount (since the # starting point is determined by the position of $ecx after the original # array is created). Since there are only 32 possible positions, iterate # through all of them until we find the one that when used creates a matching # hash for the first encrypted array. # NOTE: For some reason, the answer is always found at position 124, with # ecx_counter at 1 and eax_counter at 0. Unclear why this is as it seems # that counter values (17, 16) should be allowed as well ( & 0xFF0 can be # any number between 16 and 4080, step 16). self._christmas_array = christmas_array[124:] + christmas_array[:124] self.ecx_counter = 1 self.edx_counter = 0 if self.EncryptString(target) == bytes_: return print 'Incorrect crypto - exiting.' sys.exit(1) def FindFlagOne(self): """Find the first key.""" ecx = 0 edx = 31 x = 4080 while x >= 0: observed = ListToHex(self._christmas_array[ecx*4:(ecx*4)+4]) edi = ListToHex(self._christmas_array[edx*4:(edx*4)+4]) unrotated = ROL(observed, 0x13) unadded = unrotated - edi if unadded < 0: unadded = ((unrotated | 0xF00000000) - edi) & 0xFFFFFFFF self._christmas_array[ecx*4:(ecx*4)+4] = struct.pack('<L', unadded) ecx = 31 if ecx == 0 else ecx - 1 edx = 31 if edx == 0 else edx - 1 x -= 1 # Look for the CHRISTMAS{ marker. if 'CHRISTMAS{' in ''.join(self._christmas_array): flag_array = ''.join(self._christmas_array) flag_pos = flag_array.find('CHRISTMAS{') print flag_array[flag_pos:flag_pos+50] break def ModifyChristmasArray(self, buf): """Modify the christmas_array and return $edi.""" # ecx starts at 1 | edx starts at 0. # Pull the values from the buffer at the positions indicated by # self.ecx_counter and self.edx_counter. eax_value = LittleEndian( ''.join(buf[self.ecx_counter*4:(self.ecx_counter*4)+4])) edi_value = LittleEndian( ''.join(buf[self.edx_counter*4:(self.edx_counter*4)+4])) # Add the two values, ignoring the carry. edi_plus_eax = (edi_value + eax_value) & 0xFFFFFFFF # Rotate the digits 13 places left. rotated = ROL(edi_plus_eax, 0xd) rotated_hex = struct.pack('<L', rotated) # Replace the byte at self.ecx_counter*4 in buf with the rotated byte. buf[self.ecx_counter*4:(self.ecx_counter*4)+4] = rotated_hex # Increment the counters, resetting to 0 if either reaches 31. self.ecx_counter = 0 if self.ecx_counter == 31 else self.ecx_counter + 1 self.edx_counter = 0 if self.edx_counter == 31 else self.edx_counter + 1 # After modifying the array, return the eax value. return struct.pack('<L', eax_value) def Recv(self, bytes_): """Read a number of bytes from the socket.""" return self._sock.recv(bytes_) def RecvUntil(self, target): """Read from the socket until the target is found.""" seen = '' while target not in seen: seen += self._sock.recv(1) return seen.strip() def Send(self, payload): """Send a payload to the socket.""" self._sock.send(payload) def Join(self): """Join the club.""" self.Send('join\n') referral = self.Recv(4096) assert (referral == ( 'Does sir have a referral from an upstanding member of the club?\n')) self.Send(self.flag_1) register = self.Recv(80) assert (register == ( 'Very good sir. And what name would you like to register under?\n')) self.Send('RocketDonkey\n') # Receive 'Will there by anything else today, sir?\n' received_else = self.Recv(40) assert (received_else == 'Will there be anything else today, sir?\n') def Secure(self): """Secure the connection.""" self.Send('secure\n') print self.RecvUntil('You *do* have your prng token to hand, sir?\n') self.Send('But of course, Jarvis.\n') print self.RecvUntil('Very well, sir, enabling encryption.\n') # Decrypt the response, finding both the crypto and the first flag. self.FindEncryptionKey(self.Recv(256), ENCRYPTED_RESPONSE) # Find the flag (CHRISTMAS{mY_crYpt0_sucks_aNd_1_shoU1d_b3_4shaMed}) # self.FindFlagOne() # Respond with the passphrase. self.Send(self.EncryptString('Oh, well, tra-la-la!\n')) # Receive 'Very good, sir.\n' received_good = self.Recv(15) assert received_good == self.EncryptString('Very good sir.\n') # Receive 'Will there by anything else today, sir?\n' received_else = self.Recv(40) assert (received_else == self.EncryptString('Will there be anything else today, sir?\n')) def Login(self): """Login to the server.""" self.Send(self.EncryptString('login\n')) # 'Please provide your membership number to authenticate:' print self.DecryptString(self.Recv(4096)) # Flag 1. self.Send(self.EncryptString(self.flag_1)) # 'Ah, I see, sir has a basic account. In that case, your limited cloud # execution access has been provisioned.' print self.DecryptString(self.Recv(4096)) # 'Will there by anything else today, sir?' print self.DecryptString(self.Recv(4096)) def Fortran(self): """Interact with the FORTRAN service.""" self.Send(self.EncryptString('fortran\n')) # FORTRAN banner. print self.DecryptString(self.Recv(4096)) # SEND PROGRAM. print self.DecryptString(self.Recv(4096)) fortran_program = ( ' DIMENSION A(47)', ' READ TAPE 1,(A(B),B=1,47)', ' 1 FORMAT (I)', ' PRINT 1,(A(1))', ' PRINT 1,(A(2))', ' PRINT 1,(A(3))', ' PRINT 1,(A(4))', ' PRINT 1,(A(5))', ' PRINT 1,(A(6))', ' PRINT 1,(A(7))', ' PRINT 1,(A(8))', ' PRINT 1,(A(9))', ' PRINT 1,(A(10))', ' PRINT 1,(A(11))', ' PRINT 1,(A(12))', ' PRINT 1,(A(13))', ' PRINT 1,(A(14))', ' PRINT 1,(A(15))', ' PRINT 1,(A(16))', ' PRINT 1,(A(17))', ' PRINT 1,(A(18))', ' PRINT 1,(A(19))', ' PRINT 1,(A(20))', ' PRINT 1,(A(21))', ' PRINT 1,(A(22))', ' PRINT 1,(A(23))', ' PRINT 1,(A(24))', ) # Pad the output so that each line is exactly 72 characters. fortran_program = ['{:<72s}'.format(stmt) for stmt in fortran_program] # Add a newline. fortran_program[-1] += '\n' # Send the program. self.Send(self.EncryptString(''.join(fortran_program))) fortran_output = '\n'.join('INIT: %s' % st for st in fortran_program) # WARMING DRUMS. print self.DecryptString(self.Recv(18)) # Consume post-WARMING dots. for _ in range(8): print self.DecryptString(self.Recv(1)), # SPOOLING TAPE. print self.DecryptString(self.Recv(17)) # Consume post-SPOOLING dots. for _ in range(8): print self.DecryptString(self.Recv(1)), # LOADING PROGRAM. print self.DecryptString(self.Recv(17)) # Receive the response program. program_output = self.DecryptString(self.Recv(4096)) if not self.local: program_output += self.DecryptString(self.Recv(4096)) # Print the output plus EXECUTING PROGRAM/newlines. program_start_offset = len(fortran_output) + 19 print program_output[:program_start_offset] # The next 141 bytes are the bytes we need to translate. flag_bytes = program_output[program_start_offset:program_start_offset+141] flag = [] for byte in flag_bytes.split('\n'): two_chars = int(byte) flag.append(chr(two_chars & 0xFF)) flag.append(chr(two_chars >> 8)) # Print the flag. print 'FLAG: %s' % ''.join(flag) # This consumes up until 'Will there be anything else today sir?'. def Elevate(self): """Elevate the membership (using flag_2).""" self.Send(self.EncryptString('elevate\n')) print self.DecryptString(self.Recv(4096)) self.Send(self.EncryptString(self.flag_2)) print self.DecryptString(self.Recv(4096)) self.Send(self.EncryptString('RocketDonkey\n')) print self.DecryptString(self.Recv(4096)) def Secret(self): self.Send(self.EncryptString('secret\n')) print self.DecryptString(self.Recv(4096)) def Private(self): """Read the private members.""" self.Send(self.EncryptString('private\n')) print self.DecryptString(self.Recv(4096)) print self.DecryptString(self.Recv(4096)) def main(): """Interact with the 0wn.b33f.me Christmas challenge.""" challenge = ChristmasChallenge() # Opening flow. print challenge.RecvUntil('accessing sensitive services.\n') # Join. Works fine on the server but not locally because I have no idea why. # challenge.Join() # Secure the connection. challenge.Secure() # Login. challenge.Login() # Fortran. challenge.Fortran() # Elevate. # challenge.Elevate() # Private. challenge.Private() if __name__ == '__main__': main()

UTF-8

Python

false

15,897

py

11

christmas_challenge.py

3

0.645782

0.604894

0

478

32.257322

84

olicity-wong/BayesClassifier

4,449,586,136,491

e929b508733995ba1a4363308578f0d30f998668

1dcac9696e6ec3499733d8b3056cb08e80f720f2

/bayes_realize.py

909068c2f051a3419e703e49acffec79ca80306d

[]

no_license

https://github.com/olicity-wong/BayesClassifier

6caf31aed98e8d6dada4429eddcff255c8463c11

31e82c959bcecff05a08e1d2e6c11d57d2de6d74

refs/heads/master

2020-05-09T17:11:20.212362

2019-05-30T04:30:13

null

0

null

# -*- coding: utf-8 -*- import codecs import jieba from numpy import * import numpy as np import re from string import digits f_root_path = 'C:/Users/91460/Desktop/论文相关/hapi/MyAll/data/' f_scrapy_path = f_root_path + 'scrapy_data/' f_content_path = f_root_path + 'content_data/' f_stop_words_path = f_root_path + 'aux_data/stop_words.txt' f_words_path = f_root_path + 'words_data/' f_words_cut_file = f_words_path + 'word_cut_all/' f_positive_path = f_root_path + 'aux_data/positive.txt' f_negative_path = f_root_path + 'aux_data/negative.txt' f_pre_path = f_root_path + 'pre_data/' f_tt_path = f_root_path + 'tt_data/' # 创建停用词列表 def stop_words_list(filepath): stop_words = [line.strip() for line in open(filepath, 'r', encoding='utf-8').readlines()] return stop_words def common_words_list(filepath): common_words = [line.strip() for line in open(filepath, 'r', encoding='utf-8').readlines()] return common_words def positive_words_list(filepath): positive_words = [line.strip() for line in open(filepath, 'r', encoding='utf-8').readlines()] return positive_words def negative_words_list(filepath): negative_words = [line.strip() for line in open(filepath, 'r', encoding='utf-8').readlines()] return negative_words # 数据处理 def process_data(file_path, type): # 按行存储到列表"F:\\github\\MyAll\\xbyz_1500.txt" f = codecs.open(file_path, 'r', encoding='utf-8') data = f.readlines() train_data = [] for line in data: train_data.append(line.strip('\r\n').replace('\t', '')) train_positive_class_list = [] train_negative_class_list = [] train_neutral_class_list = [] # 根据数值判断情感分类 for line in train_data: if line[0] in ['4', '5']: train_positive_class_list.append(line[1:]) if line[0] in ['3']: train_neutral_class_list.append(line[1:]) if line[0] in ['1', '2']: train_negative_class_list.append(line[1:]) if line[0] in ['0']: continue if type == "test": global sentences_list sentences_list = train_positive_class_list + train_negative_class_list + train_neutral_class_list # 分词 train_positive_word_cut = word_cut(train_positive_class_list, "positive") train_neutral_word_cut = word_cut(train_neutral_class_list, "neutral") train_negative_word_cut = word_cut(train_negative_class_list, "negative") # 所有句子分词集 train_all_word_cut = train_positive_word_cut + train_negative_word_cut + train_neutral_word_cut # 分类标记集 train_all_class_list = [] for line in train_positive_word_cut: train_all_class_list.append(2) for line in train_negative_word_cut: train_all_class_list.append(1) for line in train_neutral_word_cut: train_all_class_list.append(0) print(train_all_word_cut) print(train_all_class_list) return train_all_word_cut, train_all_class_list # 分词 def word_cut(train_class_list, type): train_word_cut_temp = [] train_word_cut = [] train_flag = 0 for line in train_class_list: # 去除标点符号 sentence = re.sub(r'[^\w\s]', '', line) # 去除数字 remove_digits = str.maketrans('', '', digits) sentence = sentence.translate(remove_digits) # 分词 words = jieba.cut(sentence, cut_all=True, HMM=True) train_word_cut_temp.append(words) for line in train_word_cut_temp: train_word_cut.append([]) for seg in line: if type == 'positive': if seg != '\r\n' and seg not in stop_words and seg not in common_words and seg not in negative_words: train_word_cut[train_flag].append(seg) elif type == 'negative': if seg != '\r\n' and seg not in stop_words and seg not in common_words and seg not in positive_words: train_word_cut[train_flag].append(seg) else: if seg != '\r\n' and seg not in stop_words and seg not in common_words: train_word_cut[train_flag].append(seg) if len(train_word_cut[train_flag]): train_flag += 1 continue else: train_word_cut[train_flag].append(type) train_flag += 1 return train_word_cut # 贝叶斯模型 class NBayes(object): def __init__(self): self.vocabulary = [] # 词典 self.idf = 0 self.tf = 0 self.tfidf = 0 # 训练集的权值矩阵 self.tdm = 0 # p(x|yi) self.pcates = {} # p(yi)类别词典 self.labels = [] # 对应每个分类的文本 self.doclength = 0 # 训练集文本数 self.vocablen = 0 # 词典词长 self.testset = 0 # 测试集 # 训练 def train(self, trainset, classvec): self.calc_prob(classvec) # 计算每个分类在数据集中的概率p(x|yi) self.doclength = len(trainset) tempset = set() [tempset.add(word) for doc in trainset for word in doc] self.vocabulary = list(tempset) self.vocablen = len(self.vocabulary) self.calc_tfidf(trainset) # 计算词频数据集 self.calc_tdm() # 按分类累计向量空间的每维值p(x|yi) # 采用极大似然估计计算p(y) def calc_prob(self, classvec): self.labels = classvec labeltemps = set(self.labels) for labeltemp in labeltemps: self.pcates[labeltemp] = float(self.labels.count(labeltemp)) / float(len(self.labels)) # 计算tf-idf，生成权值矩阵 def calc_tfidf(self, trainset): self.idf = np.ones([1, self.vocablen]) self.tf = np.zeros([self.doclength, self.vocablen]) for indx in range(self.doclength): for word in trainset[indx]: self.tf[indx, self.vocabulary.index(word)] += 1 # 这句话的这个词++/词袋模型 self.tf[indx] /= np.sum(self.tf[indx]) for singleword in set(trainset[indx]): self.idf[0, self.vocabulary.index(singleword)] += 1 # 这个词有这句话++ # self.idf = np.log(self.doclength / self.idf + 1) self.idf = np.log(float(self.doclength)) - np.log(self.idf) self.tfidf = np.multiply(self.tf, self.idf) # 计算条件概率 p(x|y_i) def calc_tdm(self): self.tdm = np.zeros([len(self.pcates), self.vocablen]) # 类别行*词典列 sumlist = np.zeros([len(self.pcates), 1]) for indx in range(self.doclength): self.tdm[self.labels[indx]] += self.tfidf[indx] # 将同一类别的词向量空间值加 sumlist[self.labels[indx]] = np.sum(self.tdm[self.labels[indx]]) # 统计每个分类的总值 self.tdm = self.tdm / sumlist # 归一化 # 映射到当前矩阵 def map2vocab(self, testdata): self.testset = np.zeros([1, self.vocablen]) for word in testdata: if word in self.vocabulary: self.testset[0, self.vocabulary.index(word)] += 1 # 预测计算 def predict(self, testset): if np.shape(testset)[1] != self.vocablen: print('输入错误') exit(0) predvalue = 0 predclass = '' for tdm_vect, keyclass in zip(self.tdm, self.pcates): temp = np.sum(testset * tdm_vect * self.pcates[keyclass]) if temp > predvalue: predvalue = temp predclass = keyclass return predclass if __name__ == "__main__": movie = input("电影名：") nb = NBayes() f_common_path = f_words_cut_file + '%s_words_common.txt' % (movie) # 去除停用词 global stop_words stop_words = stop_words_list(f_stop_words_path) # 公共词 global common_words common_words = common_words_list(f_common_path) # positive global positive_words positive_words = positive_words_list(f_positive_path) # negative global negative_words negative_words = negative_words_list(f_negative_path) train_data_path = f_tt_path + '%s_train.txt' % (movie) train_all_word_cut, train_all_class_list = process_data(train_data_path, "train") nb.train(train_all_word_cut, train_all_class_list) test_data_path = f_tt_path + '%s_test.txt' % (movie) test_all_word_cut, test_all_class_list = process_data(test_data_path, "test") save_data_path = f_pre_path + '%s_pre.txt' % (movie) save_data_file = open(save_data_path, 'w+', encoding='UTF-8') count = 0 null_count = 0 un_null_count = 0 pre_class_list = [] for i in range(len(test_all_word_cut)): nb.map2vocab(test_all_word_cut[i]) pre_class_list.append(nb.predict(nb.testset)) value = str(test_all_class_list[i]) nbpredict = nb.predict(nb.testset) print('bayes_cal:%s' % (nbpredict), '------actual_value:%s' % (value)) if str(nbpredict) == str(value): count += 1 if str(nbpredict) == "": null_count += 1 if str(nbpredict) != "": un_null_count += 1 # 写文件 key_value = str(nbpredict) + '\t' + str(sentences_list[i]) save_data_file.write(key_value) print(file=save_data_file) save_data_file.close() print(pre_class_list) print('correct_rate:', count / len(test_all_word_cut)) print('match_correct_rate:', count / un_null_count) print('no_match_rate:', null_count / len(test_all_word_cut))

UTF-8

Python

false

9,543

py

71

bayes_realize.py

6

0.596292

0.589449

0.00011

258

34.120155

117

ItsTheRealVictor/clicker

11,897,059,449,184

f4543d605884e2b1a2ce6118ed530ed783a68ea9

8324aa2da55d610432018e9885805663a31529b5

/htmlFinder.py

cef3c99e2db19b23f2cce74b7a92d52453d1aa14

[]

no_license

https://github.com/ItsTheRealVictor/clicker

d95ca1c093d4565ebdf9993b02bc2a5575d44ee9

1024b754ef41896f12700f26845e3924dd449c2a

refs/heads/main

2023-08-26T17:45:50.784121

2021-11-01T04:37:27

414,310,102

0

null

from bs4 import BeautifulSoup import requests URL = r'https://jobs.intel.com/page/show/search-results#q=engineering%20intern&t=Jobs&sort=relevancy&layout=table' page = requests.get(URL) soup = BeautifulSoup(page.content, 'lxml') titles = soup.find_all(id='AllResults') print('done')

UTF-8

Python

false

288

py

5

htmlFinder.py

5

0.760417

0.75

0

12

23

114

durkeems13/LN_image_analysis

14,456,859,941,834

014c007cc8880be1bd036007a16922e1bb92f3ec

011fc46b553db5a99c47ca91feb7ba39f68df961

/HR_analysis/ss_lupus_statschecks_3classBootstrapping.py

58338b31a07c86669a236e4235b21229fc356a95

[]

no_license

https://github.com/durkeems13/LN_image_analysis

5cebc5946b2d61cff4f5b70074025f0df4575433

a71af989484809f1dc824a21d893477c14e83324

refs/heads/main

2023-08-10T21:35:41.557545

2021-09-17T04:58:33

null

0

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Mar 11 10:55:33 2020 @author: rebaabraham """ ### Lupus single stain cellular analysis ### 3 class bootstrapping analysis import sys import os import pandas as pd import numpy as np import matplotlib.pyplot as plt from matplotlib.ticker import MaxNLocator from scipy.stats import sem, mannwhitneyu, ks_2samp, ttest_ind from scipy.spatial.distance import euclidean from math import sqrt from datetime import datetime ## Extract Accession numbers and make new column def Extract_acc(Case_str): sep = '-' name_str = Case_str.replace('-','_') name_str = name_str.replace('s','S') name = name_str.split('_')[0:2] Acc = sep.join(name) return Acc ## Compare list of accessions with clinical data, extract cells with matching accessions def compare_acc(lst1,lst2, df): acc = list(set(lst1)&set(lst2)) return df.loc[(df['Accession #']).isin(acc) == True] # Fx for extracting data from clinical spreadsheet, adding to the feature dfs, renaming column def ExtractfromClin(clin_df,add_df,feat,featname): feat_dict = dict(zip(clin_df['Accession #'],clin_df[feat])) def check_feat(Acc): return feat_dict[Acc] add_df[featname] = add_df['Accession #'].apply(check_feat) return add_df def MakeCellDF(df, clin_dat, prob): cells = pd.read_csv(df) cells = cells[(cells.Area<100)&(cells.Area>3)&(cells.Prob>prob)] cells['Accession #']=cells['Case'].apply(Extract_acc) ## Filters out those that are missing accessions cells = cells.loc[(cells['Accession #']).str.startswith('S') == True] # Extracts features from biopsies with clinical data cells = compare_acc(list(cells['Accession #'].unique()), list(clin_dat['Accession #'].unique()),cells) cells = ExtractfromClin(clin_dat,cells,'ESRD on dialysis, transplant or cr >6 (no = 0, yes = 1)','ESRD') cells.rename(columns={'Unnamed: 0':'index'}, inplace=True) print(cells.shape) print("Number of biopsies: "+str(len(cells['Accession #'].unique()))) return cells ## Generate cell counts and ratios per biopsy, and per ROI ## Compare ESRD + vs -, make histograms ## look at distribution of cells per ROI in ESRD + vs - def CellCounts(feats, Class_list, clin_dat,sd): Cell_type_counts = feats.groupby(['Accession #','Class_id']).count() Cell_type_counts = Cell_type_counts.reset_index() Cell_type_counts = Cell_type_counts.pivot(index='Accession #', columns='Class_id',values='Area') Cell_type_counts = Cell_type_counts.reset_index() Cell_type_counts = Cell_type_counts.fillna(0) Cell_type_counts['total_cells']=sum([Cell_type_counts['CD20+'],Cell_type_counts['CD11c+'],Cell_type_counts['BDCA2+'],Cell_type_counts['CD3+CD4+'],Cell_type_counts['CD3+CD4-']]) for i in Class_list: for ii in Class_list: if ii == i: pass else: ratio = Cell_type_counts[i]/Cell_type_counts[ii] name = str(i+'_to_'+ii) Cell_type_counts[name] = ratio Cell_type_counts = Cell_type_counts.replace([np.inf,np.NaN],[0,0]) ExtractfromClin(clin_dat,Cell_type_counts,'ESRD on dialysis, transplant or cr >6 (no = 0, yes = 1)','ESRD') Cell_type_counts.to_csv(sd+'LupusBiopsy_CellCountFeats.csv') return Cell_type_counts def CellCountsbyROI(feats,Class_list, clin_dat): Cell_type_byROI = feats.groupby(['Case','Class_id']).count()['Area'] Cell_type_byROI = Cell_type_byROI.reset_index() Cell_type_byROI = Cell_type_byROI.pivot(index='Case', columns='Class_id',values='Area') Cell_type_byROI = Cell_type_byROI.reset_index() Cell_type_byROI = Cell_type_byROI.fillna(0) Cell_type_byROI['total_cells']=sum([Cell_type_byROI['CD20+'],Cell_type_byROI['CD11c+'],Cell_type_byROI['BDCA2+'],Cell_type_byROI['CD3+CD4+'],Cell_type_byROI['CD3+CD4-']]) for i in Class_list: for ii in Class_list: if ii == i: pass else: ratio = Cell_type_byROI[i]/Cell_type_byROI[ii] name = str(i+'_to_'+ii) Cell_type_byROI[name] = ratio Cell_type_byROI = Cell_type_byROI.replace([np.inf,np.NaN],[0,0]) Cell_type_byROI['Accession #']=Cell_type_byROI['Case'].apply(Extract_acc) ExtractfromClin(clin_dat,Cell_type_byROI,'ESRD on dialysis, transplant or cr >6 (no = 0, yes = 1)','ESRD') return Cell_type_byROI def threeclassbootstrap_meanCI(df,ROI_list,feat,n_iter,sample_n): print(feat) ESRD0=df.loc[df['ESRD']==0] ESRD1=df.loc[df['ESRD']==1] ESRD2=df.loc[df['ESRD']==2] mean0_feat=[] mean1_feat=[] mean2_feat=[] diff01=[] diff02=[] diff12=[] for n in range(n_iter): ESRD0_rand=list(np.random.choice(ROI_list.loc[ROI_list['ESRD']==0]['Case'],sample_n,replace=True)) ESRD1_rand=list(np.random.choice(ROI_list.loc[ROI_list['ESRD']==1]['Case'],sample_n,replace=True)) ESRD2_rand=list(np.random.choice(ROI_list.loc[ROI_list['ESRD']==2]['Case'],sample_n,replace=True)) iter0=[] iter1=[] iter2=[] for roi in ESRD0_rand: val0=ESRD0.loc[ESRD0['Case']==roi].iloc[0][feat] iter0.append(val0) iter0_mean=sum(iter0)/len(iter0) mean0_feat.append(iter0_mean) for roi in ESRD1_rand: val1=ESRD1.loc[ESRD1['Case']==roi].iloc[0][feat] iter1.append(val1) iter1_mean=sum(iter1)/len(iter1) mean1_feat.append(iter1_mean) for roi in ESRD2_rand: val2=ESRD2.loc[ESRD2['Case']==roi].iloc[0][feat] iter2.append(val2) iter2_mean=sum(iter2)/len(iter2) mean2_feat.append(iter2_mean) iter01=iter0_mean-iter1_mean diff01.append(iter01) iter02=iter0_mean-iter2_mean diff02.append(iter02) iter12=iter1_mean-iter2_mean diff12.append(iter12) mean0_mean=sum(mean0_feat)/len(mean0_feat) mean1_mean=sum(mean1_feat)/len(mean1_feat) mean2_mean=sum(mean2_feat)/len(mean2_feat) CI0=[np.percentile(mean0_feat,2.5),np.percentile(mean0_feat,97.5)] CI1=[np.percentile(mean1_feat,2.5),np.percentile(mean1_feat,97.5)] CI2=[np.percentile(mean2_feat,2.5),np.percentile(mean2_feat,97.5)] CId01=[np.percentile(diff01,2.5),np.percentile(diff01,97.5)] CId02=[np.percentile(diff02,2.5),np.percentile(diff02,97.5)] CId12=[np.percentile(diff12,2.5),np.percentile(diff12,97.5)] d=zip(mean0_feat,mean1_feat, mean2_feat,diff01,diff02,diff12) v=[mean0_mean,CI0,mean1_mean,CI1,mean2_mean,CI2,CId01,CId02,CId12] bootstrap=pd.DataFrame(d,columns=['mean0','mean1','mean2','d01','d02','d12']) final_vals=pd.DataFrame([v],columns=['mean0_mean','CI_0','mean1_mean','CI_1','mean2_mean','CI_2','CI_d01','CI_d02','CI_d12']) return bootstrap, final_vals def main(): import argparse parser = argparse.ArgumentParser() parser.add_argument("--df", default= "CellData_forpublication.csv", help = "path to data file (csv)") parser.add_argument("--clin_dat", default="ClinicalData_forpublication.csv", help= "clinical data file") parser.add_argument("--svdr",default="HR_Analysis/") parser.add_argument("--outfile",default="3class_bootstrapping.txt") args = parser.parse_args() sd = args.svdr if os.path.exists(sd): pass else: os.makedirs(sd) ## generates log of output stdoutOrigin=sys.stdout sys.stdout = open(str(sd+args.outfile),'w') print('Analysis generated on: ') print('Data file: '+args.df) print(datetime.now()) print('plots saved in: '+sd) print('Prob cutoff: 0.3') # Import clinical data clin_dat = pd.read_csv(args.clin_dat) clin_dat['Follow up: years'] = clin_dat['Duration of follow up (days)']/365 clin_dat=clin_dat.loc[clin_dat['Follow up: years']>2] clin_dat.loc[clin_dat['Time to ESRD (days)']<14,'ESRD on dialysis, transplant or cr >6 (no = 0, yes = 1)']=2 print('Restricted to 2 year follow up') # import cell features, clean data all_cells = MakeCellDF(args.df, clin_dat, 0.3) ### How many ROIs per ESRD+ vs - ROI_list=pd.DataFrame(all_cells.Case.unique(),columns=['Case']) ROI_list['Accession #']=ROI_list['Case'].apply(Extract_acc) ROI_list= ExtractfromClin(clin_dat,ROI_list,'ESRD on dialysis, transplant or cr >6 (no = 0, yes = 1)','ESRD') print('# ESRD + vs - ROIs') print(ROI_list.groupby('ESRD').count()) feat_list=['CD3+CD4+','CD3+CD4-','CD20+','BDCA2+','CD11c+'] Cell_type_countsbyROI = CellCountsbyROI(all_cells,feat_list, clin_dat) ### Randomly sampling from ROIs in each category print('Bootstrap by ROI') if os.path.exists(os.path.join(sd,'Bootstrap_byROI_3class'))==True: pass else: os.makedirs(os.path.join(sd,'Bootstrap_byROI_3class')) Acc_list=ROI_list.groupby('Accession #').count()['Case'] Acc_list=Acc_list.reset_index() Acc_list= ExtractfromClin(clin_dat,Acc_list,'ESRD on dialysis, transplant or cr >6 (no = 0, yes = 1)','ESRD') n_iter=1000 sample_n=150 for feat in feat_list: feat_bs,interp=threeclassbootstrap_meanCI(Cell_type_countsbyROI,ROI_list,feat,n_iter,sample_n) textargs={'size':'16','fontname':'Times New Roman'} plt.clf() fig=plt.figure(figsize=(5.5,5),frameon=False) ax=fig.add_axes([0.15,0.15,0.75,0.75]) ax.spines['top'].set_visible(False) ax.spines['right'].set_visible(False) ax.hist([feat_bs['mean0'],feat_bs['mean1'], feat_bs['mean2']],color=['blue','#fc9003','green'], bins=50) plt.xticks(fontsize=14,fontname='Times New Roman') plt.yticks(fontsize=14,fontname='Times New Roman') plt.ylabel('Number of Samples',**textargs) plt.xlabel('Mean '+feat+' per ROI',**textargs) plt.savefig(sd+'Bootstrap_byROI_3class/'+'Means_'+feat+'.png') plt.show() plt.clf() fig=plt.figure(figsize=(5.5,5),frameon=False) ax=fig.add_axes([0.15,0.15,0.75,0.75]) ax.spines['top'].set_visible(False) ax.spines['right'].set_visible(False) ax.hist([feat_bs['d01'],feat_bs['d02'],feat_bs['d12']],color=['purple','cyan','yellow'], bins=50) plt.xticks(fontsize=14,fontname='Times New Roman') plt.yticks(fontsize=14,fontname='Times New Roman') plt.ylabel('Number of Samples',**textargs) plt.xlabel('Difference in mean '+feat+' per ROI',**textargs) plt.savefig(sd+'Bootstrap_byROI_3class/'+'Diff_means_'+feat+'.png') plt.show() print('Avg mean '+feat+'for ESRD-: '+str(feat_bs['mean0'].mean())+' '+str(interp['CI_0'])) print('Avg mean '+feat+'for ESRD+: '+str(feat_bs['mean1'].mean())+' '+str(interp['CI_1'])) print('Avg mean '+feat+'for ESRDcurrent: '+str(feat_bs['mean2'].mean())+' '+str(interp['CI_2'])) print('Avg diff means '+feat+'for ESRD- vs ESRD+: '+str(feat_bs['d01'].mean())+' '+str(interp['CI_d01'])) print('Avg diff means '+feat+'for ESRD- vs ESRDcurrent: '+str(feat_bs['d02'].mean())+' '+str(interp['CI_d02'])) print('Avg diff means '+feat+'for ESRD+ vs ESRDcurrent: '+str(feat_bs['d12'].mean())+' '+str(interp['CI_d12'])) sys.stdout.close() sys.stdout=stdoutOrigin if __name__=='__main__': main()

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ss_lupus_statschecks_3classBootstrapping.py

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Decoder996/entity_resolution

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""" This is the blocking scheme used to make Entity Resolution computationally scalable. """ import numpy as np from itertools import izip __author__ = 'mbarnes1' class BlockingScheme(object): def __init__(self, database, max_block_size=np.Inf, single_block=False): """ :param database: RecordDatabase object :param max_block_size: Integer. Blocks larger than this are thrown away (not informative & slow to process)) :param single_block: Boolean, if True puts all records into a single weak block """ self._max_block_size = max_block_size self.strong_blocks = dict() self.weak_blocks = dict() if not single_block: self._generate_strong_blocks(database) self._generate_weak_blocks(database) self._clean_blocks() self._complete_blocks(database.records.keys()) else: self._max_block_size = np.Inf self.weak_blocks['All'] = set(database.records.keys()) def _complete_blocks(self, keys): """ Finds ads missing from blocking scheme (due to sparse features), and ads them as single ads to weak blocks :param keys: List of all the record identifiers that should be in the clustering """ used_ads = set() for _, ads in self.strong_blocks.iteritems(): used_ads.update(ads) for _, ads in self.weak_blocks.iteritems(): used_ads.update(ads) missing_ads = set(keys) missing_ads.difference_update(used_ads) for ad in missing_ads: block = 'singular_ad_' + str(ad) self.weak_blocks[block] = {ad} def _clean_blocks(self): """ Removed blocks larger than max_block_size """ toremove = list() for block, ads in self.strong_blocks.iteritems(): blocksize = len(ads) if blocksize > self._max_block_size: toremove.append(block) for remove in toremove: del self.strong_blocks[remove] toremove = list() for block, ads in self.weak_blocks.iteritems(): blocksize = len(ads) if blocksize > self._max_block_size: toremove.append(block) for remove in toremove: del self.weak_blocks[remove] def number_of_blocks(self): """ Determines the total number of blocks :return num_blocks: The total number of weak and strong blocks """ num_blocks = len(self.weak_blocks) + len(self.strong_blocks) return num_blocks def _generate_strong_blocks(self, database): self._generate_blocks('strong', self.strong_blocks, database) def _generate_weak_blocks(self, database): self._generate_blocks('weak', self.weak_blocks, database) @staticmethod def _generate_blocks(block_strength, blocks_pointer, database): """ Generates the blocking scheme [block_name, set of ad indices in block] :param block_strength: String 'weak' or 'strong' :param blocks_pointer: Blocks to mutate, either self.strong_blocks or self.weak_blocks :param database: RecordDatabase object """ to_block = list() for index, (strength, blocking) in enumerate(izip(database.feature_descriptor.strengths, database.feature_descriptor.blocking)): if (strength == block_strength) & (blocking == 'block'): # did user specify blocking for this feature? to_block.append(index) for record_id, record in database.records.iteritems(): # loop through all the records print block_strength, 'blocking ad', record_id for index in to_block: feature_name = database.feature_descriptor.names[index] for subfeature in record.features[index]: feature = feature_name + '_' + str(subfeature) if feature in blocks_pointer: blocks_pointer[feature].add(record_id) else: blocks_pointer[feature] = {record_id}

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zk040377/load2python

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/用Python玩转数据/3.2-exercise.py

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[]

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refs/heads/master

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# coding:utf-8 import numpy as np from pandas import Series, DataFrame a = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)]) print a[2].sum() print sorted(set('You need Python.')) sa = Series(['a', 'b', 'c'], index = [0, 1, 2]) sb = Series(['a', 'b', 'c']) sc = Series(['a', 'c', 'b']) print sa.equals(sc) print sb.equals(sa) data = {'language': ['Java', 'PHP', 'Python', 'R', 'C#'], 'year': [ 1995 , 1995 , 1991 ,1993, 2000]} frame = DataFrame(data) frame['IDE'] = Series(['Intellij', 'Notepad', 'IPython', 'R studio', 'VS']) print frame['IDE'] aList = ['VS','Sublime'] print 'VS' in frame['IDE'] # frame['IED']是一个Series print 'VS' in aList

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daaain/onfido-python

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import onfido api = onfido.Api("<AN_API_TOKEN>") fake_uuid = "58a9c6d2-8661-4dbd-96dc-b9b9d344a7ce" check_details = { "applicant_id": fake_uuid, "report_names": ["identity_enhanced"] } def test_create_check(requests_mock): mock_create = requests_mock.post("https://api.onfido.com/v3/checks/", json=[]) api.check.create(check_details) assert mock_create.called is True assert mock_create.last_request.text is not None def test_find_check(requests_mock): mock_find = requests_mock.get(f"https://api.onfido.com/v3/checks/{fake_uuid}", json=[]) api.check.find(fake_uuid) assert mock_find.called is True def test_list_checks(requests_mock): mock_list = requests_mock.get(f"https://api.onfido.com/v3/checks/?applicant_id={fake_uuid}", json=[]) api.check.all(fake_uuid) assert mock_list.called is True def test_resume_check(requests_mock): mock_resume = requests_mock.post(f"https://api.onfido.com/v3/checks/{fake_uuid}/resume", json=[]) api.check.resume(fake_uuid) assert mock_resume.called is True

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/reviews/migrations/0002_auto_20210822_0907.py

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# Generated by Django 2.2.16 on 2021-08-22 06:07 from django.conf import settings import django.core.validators from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('reviews', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='comment', options={'verbose_name': 'Comment', 'verbose_name_plural': 'Comments'}, ), migrations.AlterModelOptions( name='review', options={'verbose_name': 'Review', 'verbose_name_plural': 'Reviews'}, ), migrations.AlterField( model_name='comment', name='author', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='comments', to=settings.AUTH_USER_MODEL, verbose_name='comment author'), ), migrations.AlterField( model_name='comment', name='pub_date', field=models.DateTimeField(auto_now_add=True, verbose_name='date of publication'), ), migrations.AlterField( model_name='comment', name='review', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='comments', to='reviews.Review', verbose_name='comment to review'), ), migrations.AlterField( model_name='comment', name='text', field=models.TextField(verbose_name='comment text'), ), migrations.AlterField( model_name='review', name='author', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='reviews', to=settings.AUTH_USER_MODEL, verbose_name='reviews author'), ), migrations.AlterField( model_name='review', name='pub_date', field=models.DateTimeField(auto_now_add=True, verbose_name='date of publication'), ), migrations.AlterField( model_name='review', name='score', field=models.IntegerField(validators=[django.core.validators.MinValueValidator(1), django.core.validators.MaxValueValidator(10)], verbose_name=' authors mark'), ), migrations.AlterField( model_name='review', name='text', field=models.TextField(verbose_name='reviews text'), ), migrations.AlterField( model_name='review', name='title', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='reviews', to='titles.Title', verbose_name='title'), ), ]

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Planet-Moon/Weatherstation

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/ReadSerial_Wetterstation.py

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[]

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#ReadSerial.py import serial import time import platform import datetime import struct import os import sys import errno debug = 0 write_file_flag = 1 dummyOutput_flag = 0 output_path = "" op_sys = platform.system() print("op_sys: "+str(op_sys)) if(op_sys == "Linux"): port = "/dev/ttyACM0" elif(op_sys == "Windows"): port = "COM3" def bytes_to_int(input_bytes): result = 0 for b in input_bytes: result = result * 256 + int(b) return result def ensure_dir(file_path): directory = os.path.dirname(file_path) if not os.path.exists(directory): try: os.makedirs(directory) except OSError as e: if e.errno != errno.EEXIST: raise def check_arguments(sys_argv): global debug, write_file_flag, dummyOutput_flag, output_path used_arguments = [0,0,0,0,0,0] for arg in sys_argv: if(arg == "-new"): os.remove(logfile) print("creating new file...") time.sleep(2) used_arguments[0] = 1 if(arg == "-debug"): debug = 1 used_arguments[1] = 1 if(arg == "-nofile"): used_arguments[2] = 1 write_file_flag = 0 print("not writing to output file") if(arg == "-example"): used_arguments[3] = 1 dummyOutput_flag = 1 print("creating example output file...") if(arg.find("-dir=")==0): output_path = arg[arg.find("-dir=")+len("-dir="):] # get all chars in argument after "-dir=" used_arguments[4] = 1 print("changed directory of output file to: \""+output_path+"\"") if(output_path[-1]!="/"): output_path += "/" # check if last char is a "/", if not append one ensure_dir(output_path) # check of output_path is a directory, if not create it if((arg == "-help") or (arg == "-h")): used_arguments[5] = 1 if((used_arguments[0] == 0) or (used_arguments[5] == 1)): print("append argument \"-new\" to create new csv-file, appending existing csv-file") if((used_arguments[1] == 0) or (used_arguments[5] == 1)): print("append argument \"-debug\" to output debug information") if((used_arguments[2] == 0) or (used_arguments[5] == 1)): print("append argument \"-nofile\" to not write data to output file") if((used_arguments[3] == 0) or (used_arguments[5] == 1)): print("append argument \"-example\" to create example output file") if((used_arguments[4] == 0) or (used_arguments[5] == 1)): print("append argument \"-dir=dirname\" to change directory of output file") if(used_arguments[5] == 1): exit() check_arguments(sys.argv) try: if(not dummyOutput_flag): ser = serial.Serial(port, baudrate = 9600 ) else: print("Skipped opening serial port") except: print("Error opening Serial Port") exit() print("starting") if(not dummyOutput_flag): ser.readline() while True: date_now = datetime.datetime.now() if(not dummyOutput_flag): rcv = ser.readline() date_string = str(date_now.strftime("%Y")) + ";" + str(date_now.strftime("%m")) + ";" + str(date_now.strftime("%d")) + ";" + str(date_now.strftime("%H")) + ";" + str(date_now.strftime("%M")) + ";" + str(date_now.strftime("%S")) data_string = rcv.decode() data_string = data_string.replace("\t",";") data_string = data_string.replace("\n",";") output_string = date_string+";"+data_string+"\n" example_string = "" if(dummyOutput_flag): example_string = "example" logfile = output_path+"Wetterlog"+str(date_now.date())+"_"+example_string+".csv" write_mode = "w" #overwrite existing append_mode = "a" #append existing if(not os.path.exists(logfile)): file = open(logfile,write_mode) file.write("Year;Month;Day;Hour;Minute;Second;Relative Humidity;Temperature;Atmospheric Pressure;UP;bmp_temperature;Lightintensity\n") file.close() if(not dummyOutput_flag): i = 0 for pos in output_string: #print("pos: "+pos) if(pos == ";"): i = i + 1 if((i == 12) and (write_file_flag == 1)): file = open(logfile,append_mode) file.write(output_string) file.close() if(debug == 1): print("data_string: "+output_string) print("number of fields: "+str(i)) if(dummyOutput_flag): print("Created example output file: "+logfile) exit()

UTF-8

Python

false

4,616

py

8

ReadSerial_Wetterstation.py

3

0.564991

0.55091

0

141

31.744681

235

camirmas/book-tracker-django

1,838,246,036,551

eaab0780ec5bf2f9e46865579515ee7eec8204b7

23419b72f2e059a2e98bea8c9ee928608b947fae

/tracker_app/migrations/0001_initial.py

3f4b1f177cda2cbe186f21cc76a2e006d55a424e

[]

no_license

https://github.com/camirmas/book-tracker-django

1ba5325d95fbff57de88b15e1359ecfebcc7c1be

6ab17e70476a55997ba3888ec0d4ccdad5f73158

refs/heads/master

2016-05-23T13:23:18.713452

2015-04-01T07:52:14

33,083,573

0

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations from django.conf import settings class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Book', fields=[ ('id', models.AutoField(serialize=False, auto_created=True, primary_key=True, verbose_name='ID')), ('isbn', models.CharField(max_length=13)), ('title', models.CharField(max_length=300)), ('publisher', models.CharField(max_length=300)), ('city', models.CharField(max_length=300)), ('year', models.IntegerField()), ('author_first', models.CharField(max_length=300)), ('author_middle', models.CharField(blank=True, max_length=300)), ('author_last', models.CharField(max_length=300)), ('mla_citation', models.TextField()), ('page_count', models.IntegerField()), ('progress', models.FloatField()), ('owner', models.ForeignKey(related_name='books', to=settings.AUTH_USER_MODEL)), ], options={ }, bases=(models.Model,), ), migrations.CreateModel( name='Quote', fields=[ ('id', models.AutoField(serialize=False, auto_created=True, primary_key=True, verbose_name='ID')), ('description', models.TextField()), ('page_number', models.IntegerField()), ('book', models.ForeignKey(to='tracker_app.Book')), ], options={ }, bases=(models.Model,), ), ]

UTF-8

Python

false

1,828

py

7

0001_initial.py

7

0.531729

0.520241

0

48

37.083333

114

julieqiu/python-finances

2,946,347,612,644

ef52d86221889ea1688e8d7cb7edd2669df7132e

6a15ca69993b6db29f8c8f0213ff17e8a4d8b65f

/finances/database/models/db_transaction_classification.py

f37ae90b2be4b829e124ea2b3c5c48447d5f24c7

[]

no_license

https://github.com/julieqiu/python-finances

aa84de5bcf3dd48fce2b99bd4a63fbe0c4b2acfe

9e3223ba7e7927f9cceff8b4b331a8781decd78d

refs/heads/master

2020-03-23T05:49:58.904674

2019-01-11T01:25:52

null

0

null

from sqlalchemy.orm import relationship from sqlalchemy import ARRAY, JSON, Integer, Column, String, Text, Boolean, ForeignKey, Numeric, UniqueConstraint from finances.database.models.base import Base class DbTransactionClassification(Base): __tablename__ = 'transaction_classifications' __table_args__ = (UniqueConstraint('l1', 'l2', 'l3'),) id = Column(Integer, primary_key=True) l1 = Column(String, nullable=False) l2 = Column(String, nullable=False) l3 = Column(String, nullable=False) phrases = Column(ARRAY(Text), nullable=False)

UTF-8

Python

false

569

py

91

db_transaction_classification.py

62

0.727592

0.717047

0

16

34.5625

113

CrazySunix/Spider

12,953,621,390,298

1a7b5cfdc6a197e692a40cee07d6f23f2f706338

8b7bce38a9260fd80c9ccb623925c85e5eed8e26

/58Project/processing.py

0c8f5f96fac1175e495439dbe22120854e51aefe

[]

no_license

https://github.com/CrazySunix/Spider

bfc6b93fc02a0fdf73d5f4a02f5f1f6715b63286

d36ce6c6eda20f80baf1d8f92fce31cd823c6ed8

refs/heads/master

2020-02-22T07:35:57.892013

2017-08-23T08:42:14

100,044,189

0

null

from multiprocessing import pool from page_parsing import get_links_from,url_list,item_info,get_item_info from channel_extract import channel_list db_urls = [item['url'] for item in url_list.find()] index_urls = [item['url'] for item in item_info.find()] x = set(db_urls) y = set(index_urls) rest_of_urls = x - y

UTF-8

Python

false

313

py

5

processing.py

4

0.728435

0

9

33.888889

72

shanmugharajk/QaNet

6,347,961,694,434

524212efeac37e1cd6958ff1713514c723d8e6d6

945feb5d2d1cbd9084c04c1ec89187557df64018

/src/qanet/post/models.py

1122cd6680a5cdecbdcf24a9763d05fb0c4b768e

[]

no_license

https://github.com/shanmugharajk/QaNet

d4d05e95b4f48fe9de35ebbd5a5ec525c3e01c94

b088a3b5f3b2f48632aa20b5fcf82640dc02da17

refs/heads/main

2021-06-14T00:11:37.683936

2021-04-19T02:58:42

2021-04-21T03:47:11

145,062,733

16

3

null

false

2021-03-08T16:10:45

2018-08-17T02:38:15

2021-01-03T21:32:06

2021-01-21T01:55:28

14,019

10

3

1

Go

false

from sqlalchemy import Column, DateTime, ForeignKey, Integer, String, Table from sqlalchemy.orm import relationship from sqlalchemy.sql.schema import PrimaryKeyConstraint from qanet.enums import PostType from qanet.models import OwnerEditorMixin, TimeStampMixin from qanet.database.core import Base assoc_question_post_tags = Table( "assoc_question_post_tags", Base.metadata, Column("post_tag_id", String, ForeignKey("post_tag.id")), Column("post_id", Integer, ForeignKey("post.id")), PrimaryKeyConstraint("post_tag_id", "post_id"), ) class Post(Base, OwnerEditorMixin, TimeStampMixin): id = Column(Integer, primary_key=True) post_type = Column(Integer, default=PostType.question) points = Column(Integer, nullable=True) title = Column(String, nullable=True) content = Column(String) tags = relationship("PostTag", secondary=assoc_question_post_tags, cascade="all, delete") parent_id = Column(Integer, ForeignKey("post.id"), nullable=True) answers_count = Column(Integer, default=0) accepted_answer_id = Column(Integer, ForeignKey("post.id"), nullable=True) bookmarks_count = Column(Integer, default=0) close_votes = Column(Integer, nullable=True) closed_by_user_id = Column(String, ForeignKey("qanet_user.id"), nullable=True) closed_date = Column(DateTime, nullable=True) deleted_date = Column(DateTime, nullable=True) closed_by = relationship("QanetUser", foreign_keys=[closed_by_user_id]) comments = relationship("Comment", lazy="noload")

UTF-8

Python

false

1,535

py

202

models.py

105

0.730293

0.72899

0

39

38.358974

93

survivalcrziest/WordFreqCount

12,635,793,820,944

6ba85094d69d81646abaa50d0cbd741f1e347c70

d7b87091c834e7827264f90062f93213d494866e

/WordFreqCount.py

9f1389660382e68a632f2cc93cb8a70a249b0bbb

[ "MIT" ]

permissive

https://github.com/survivalcrziest/WordFreqCount

e68dfdfd2e90f8c8d1c8f0be54b09b985bef9784

965e10ecda6131511e15ee281531303729cae9a0

refs/heads/master

2020-12-07T01:41:01.596867

2016-08-27T22:23:17

66,737,477

0

null

#!/usr/bin/python # -*- coding: utf-8 -*- # TODO: add search phrases # import urllib from bs4 import BeautifulSoup from collections import Counter import os import re maxAnalysisCount = 150 maxOutputCount = 100 outFileName = "CraftConfWordFreqTrend.csv" commonWordsFileName = "CommonWords.csv" def readList(input, separator=''): retList = list() with open(input, 'rb') as inputFile: for line in inputFile: outline = line.strip() if outline != "" and not outline.startswith("#"): if separator == '': retList.append(outline) else: for item in outline.split(separator): item = item.strip() if item != "": retList.append(item) return retList def writeHeader(outFileName): try: os.remove(outFileName) except OSError: pass with open(outFileName, "a") as outfile: outfile.write("{0}, {1}, {2}\n".format("Year", "Keyword", "Frequency")) def parsePage(url, outFileName, prefix): print "Processing URL: {0}, Result: {1}, Prefix: {2}".format(url, outFileName, prefix) opener = urllib.urlopen(url) page = opener.read() opener.close() soup = BeautifulSoup(page, "html.parser", from_encoding="UTF-8") content = soup.find_all("li", "speakers-item") text = "" for entry in content: text += entry.get_text(" ", True) words = [word.lower() for word in text.split()] c = Counter(words) for key in commonWords: if key in c: del c[key] mostCommon = list() for word, count in c.most_common(maxAnalysisCount): if not re.search('[–{@#!;+=_,$<(^)>?.:%/&}''"''-]', word): if not (re.search(u'\u2014', word) or re.search(u'\u2013', word)): if not re.search('[0-9]', word): if word: mostCommon.append((word, count)) else: print("Skipping: <empty>") else: print("Skipping number: {0}".decode('ascii', 'ignore').format(word)) else: print("Skipping unicode character: {0}".decode('ascii', 'ignore').format(word)) else: print("Skipping special character: {0}".decode('ascii', 'ignore').format(word)) with open(outFileName, "a") as outfile: for word, count in mostCommon[:maxOutputCount]: outfile.write("{0}, {1}, {2}\n".format(prefix, word, count)) print "Done" # main commonWords = readList(commonWordsFileName, ',') writeHeader(outFileName) parsePage("https://web.archive.org/web/20160325231108/http://craft-conf.com/2016", outFileName, "year2016") parsePage("https://web.archive.org/web/20160406212403/http://craft-conf.com/2015", outFileName, "year2015") parsePage("https://web.archive.org/web/20160324192950/http://craft-conf.com/2014", outFileName, "year2014")

UTF-8

Python

false

2,592

py

4

WordFreqCount.py

1

0.667568

0.630116

0

83

30.180723

107

wwzskyrain/python-study

3,307,124,863,959

0e26077d3f558f4a04ddc0d7ffda04c5ad9ad31f

b9526da1873e9ba8992a39eb29fe06b6fd2640b4

/erik/erik/http_erik/http_one.py

fdd6a6191e3a0df878d4bed63202ebd7372c5eae

[]

no_license

https://github.com/wwzskyrain/python-study

a5b35d364bef94683c12818a7c69da06830afb9c

d6bec7ad96775262e46f1ad2fb7b6f0ed83dfd81

refs/heads/master

2020-03-21T20:55:19.349582

2018-08-09T11:06:29

139,036,703

0

null

#!/usr/bin/Python # -*- coding: UTF-8 -*- import urllib.request import urllib.parse import json def request_localhost_and_print(): response = urllib.request.urlopen("http://localhost:8893/students") html = response.read().decode('utf-8') print("response: ", html) loaded_response = json.loads(html) print(type(loaded_response)) print(loaded_response) def get_list_spu_id(): file_name = input("请输入专辑ID，以逗号隔开\n") list_album_ids = file_name.split(",") return list_album_ids def get_list_product_id(): input_data = input("请输入productID，以逗号隔开\n") list_product_id = input_data.split(",") return list_product_id def build_search_url_from_spu_id(spu_id=""): if spu_id.strip() != "": # print(spu_id) # need a [static] constant url_pattern = 'http://ops.ximalaya.com/business-product-admin-web/product/search?categoryId=100&domainId=1&statusId=0&spuId={0}&productId=&productName=&pageNum=1&pageSize=10' return url_pattern.format(spu_id) else: pass return "" def build_property_url_from_product_id(product_id=""): if product_id.strip() != "": url_pattern = 'http://ops.ximalaya.com/business-product-admin-web/product/properties?productId={0}&categoryId=101' return url_pattern.format(product_id) def query_product_properties_by_product_id(): list_product_id = get_list_product_id(); for product_id in list_product_id: property_query_url = build_property_url_from_product_id(product_id) header_param = { 'Cookie': 'JSESSIONID=5090B1688F74B6B51A18C58D5D573D4E; _xmLog=xm_1500013288413_j53h6kt9urxl3f; _ga=GA1.2.1440976587.1509762096; login_from=phone; NTKF_T2D_CLIENTID=guestB6A3D8CA-372C-CCC6-E339-DE762EA94018; 1&remember_me=y; 1&_token=103514482&41b752ed078df0445e09d7d08776822e4070; org.springframework.web.servlet.i18n.CookieLocaleResolver.LOCALE=zh_CN; trackType=web; x_xmly_traffic=utm_source%3A%26utm_medium%3A%26utm_campaign%3A%26utm_content%3A%26utm_term%3A%26utm_from%3A; 4&remember_me=y; 4&_token=57877&f54244f92a5c2e15a04ce3553f8df8fc5c6b780dd1ed2b7b875ef6ad46d8df0a; 4_l_flag="57877&f54244f92a5c2e15a04ce3553f8df8fc5c6b780dd1ed2b7b875ef6ad46d8df0a_2018-08-02 16:55:49"; account=133****8888; nickname=luna; Hm_lvt_4a7d8ec50cfd6af753c4f8aee3425070=1532918148,1533215454,1533623796; Hm_lpvt_4a7d8ec50cfd6af753c4f8aee3425070=1533641128; ops-auth=30954EC8AC1A6C147F42; sync=eG1seTIwMTdFUklL' } req = urllib.request.Request(property_query_url, headers=header_param) response = urllib.request.urlopen(req) response_data = response.read().decode('utf-8') list_response_data = json.loads(response_data) list_value = [product_id]; for dic in list_response_data: dict_attribute_vo = dict(dict(dic).get('attributeVo')) if dict_attribute_vo.get("id") == 100100006: list_value.append(100100006) list_value.append(dict(dic)["value"]) print(list_value) def query_product_properties_by_spu_id(): list_spu_id = get_list_spu_id() list_search_url = list(map(build_search_url_from_spu_id, list_spu_id)) header_param = { 'Cookie': 'JSESSIONID=5090B1688F74B6B51A18C58D5D573D4E; _xmLog=xm_1500013288413_j53h6kt9urxl3f; _ga=GA1.2.1440976587.1509762096; login_from=phone; NTKF_T2D_CLIENTID=guestB6A3D8CA-372C-CCC6-E339-DE762EA94018; 1&remember_me=y; 1&_token=103514482&41b752ed078df0445e09d7d08776822e4070; org.springframework.web.servlet.i18n.CookieLocaleResolver.LOCALE=zh_CN; trackType=web; x_xmly_traffic=utm_source%3A%26utm_medium%3A%26utm_campaign%3A%26utm_content%3A%26utm_term%3A%26utm_from%3A; 4&remember_me=y; 4&_token=57877&f54244f92a5c2e15a04ce3553f8df8fc5c6b780dd1ed2b7b875ef6ad46d8df0a; 4_l_flag="57877&f54244f92a5c2e15a04ce3553f8df8fc5c6b780dd1ed2b7b875ef6ad46d8df0a_2018-08-02 16:55:49"; account=133****8888; nickname=luna; Hm_lvt_4a7d8ec50cfd6af753c4f8aee3425070=1532918148,1533215454,1533623796; Hm_lpvt_4a7d8ec50cfd6af753c4f8aee3425070=1533641128; ops-auth=30954EC8AC1A6C147F42; sync=eG1seTIwMTdFUklL' } dict_spu_id_to_attribute = {} for spu_id in iter(list_spu_id): dict_spu_id_to_attribute.setdefault(spu_id, []) for spu_id in dict_spu_id_to_attribute.keys(): search_url = build_search_url_from_spu_id(spu_id) req = urllib.request.Request(search_url, headers=header_param) response = urllib.request.urlopen(req) response_data = response.read().decode('utf-8') response_data_dict = json.loads(response_data) html_data = response_data_dict["data"] str_data = str(html_data) first_colon_index = str_data.index("\"") second_colon_index = str_data.index("\"", first_colon_index + 1) product_id = str_data[first_colon_index + 1:second_colon_index] list_value = list(dict_spu_id_to_attribute[spu_id]) list_value.append(product_id) property_query_url = build_property_url_from_product_id(product_id) req = urllib.request.Request(property_query_url, headers=header_param) response = urllib.request.urlopen(req) response_data = response.read().decode('utf-8') list_response_data = json.loads(response_data) for dic in list_response_data: dict_attribute_vo = dict(dict(dic).get('attributeVo')) if dict_attribute_vo.get("id") == 100100006: list_value.append(100100006) list_value.append(dict(dic)["value"]) dict_spu_id_to_attribute[spu_id] = list_value print(dict_spu_id_to_attribute) query_product_properties_by_product_id()

UTF-8

Python

false

5,710

py

2

http_one.py

2

0.702822

0.575485

0

106

52.481132

907

AnkitM18-tech/Python-Introductory-Problems

9,165,460,242,870

6138ae699a69cdd12117055288f5a852678673b4

0a5d2213ae89d7364ca79d8f3ba7f5590766554e

/3.Loops/SquareRoot.py

052b694c28e5f4bd38ea385256ec53b645f1a2ce

[]

no_license

https://github.com/AnkitM18-tech/Python-Introductory-Problems

5f2e4d2b964d17e7820e30faacb0c8233b8c4eff

aa984b4758d812a529eff820a4c5f21fe7fecd12

refs/heads/main

2023-06-25T10:31:33.927879

2021-08-01T17:01:29

391,678,089

0

null

# -*- coding: utf-8 -*- """ Created on Tue Jul 7 18:59:13 2020 @author: OCAC """ num=float(input("Enter the Number:")) guess=num/2 eps=10**-12 while abs((guess**2)-num)>eps: guess=(guess+(num/guess))/2 print("The Approximate Square Root Of The %f is :%.4f"%(num,guess))

UTF-8

Python

false

284

py

83

SquareRoot.py

82

0.616197

0.545775

0

17

15.764706

67

roboticmonkey/hb-intro-final-project_Battleship

5,772,436,073,070

31e737bdbf383b0929132e437974f8d83a87bf8f

13a4d613d3c11972a2bf7b6821d4fe60f4bf3f29

/utilities.py

f525fdf3e3d5a951bca2d411f9739d5dd522ace5

[]

no_license

https://github.com/roboticmonkey/hb-intro-final-project_Battleship

a4178eb21ff88566d9a86c81a050de6487fd81c6

65ed38b8d8cc7c158c6c209adeb2b85a9a04eedf

refs/heads/master

2021-01-15T23:46:18.081037

2015-10-16T04:13:54

null

0

null

import board import random random.seed() test_grid = board.Board() #check for valid number range. returns True of False def valid_number(user_input): if (len(user_input) == 2): if (user_input[1] == "0"): return False else: return True if (len(user_input) !=2): if (len(user_input) == 3): number = user_input[1]+user_input[2] if (number == "10"): return True else: return False #remove extra spaces and capitalizes letters returns fixed input def quick_fix(user_input): #remove extra spaces user_input = user_input.strip(" ") #makes lowercase letters capital user_input = user_input.upper() return user_input #creates grid location returns a list def generates_grid_location(): num = random.randrange(1, 11) num2 = random.randrange(1, 11) num_list = [num, num2] return num_list #check for valid letter range return True or False def valid_letter(user_input, board): if (not user_input[0] in board.capital_letters): return False else: return True #Validating coordinate format def validate_user_input(user_input, board): if (valid_letter(user_input, board) and valid_number(user_input)): return True else: return False #Ask for and return valid location string def request_valid_location(raw_data, board): while(not validate_user_input(raw_data, board)): raw_data = raw_input("Please give coordinates in format 'A1'. ") raw_data = quick_fix(raw_data) return raw_data #Asks user for and returns a valid str bomb location def get_bomb_str(player_board_object): raw_data = raw_input("Enter coordinates for a bomb. ") raw_data = quick_fix(raw_data) # print raw_data # Validate string bomb location # If invalid ask for string bomb location again raw_data = request_valid_location(raw_data, player_board_object) # print raw_data return raw_data #Checks for no winner def no_winner(opponent_player_object): # Check if all of opponents ships sunk opponent_player_object.ships.all_sunk() if (opponent_player_object.ships.fleet_sunk): return False else: return True #requesting ship placement for human def request_placement_of_ship(ship_object, board_object, game_pieces_object, player_object): while (ship_object.location_list_full() == False): #Grid location list is empty. print "Ships may only be placed horizontally or vertically." #Ask user for start coordinate print "Use letters A-J and numbers 1-10 for coordinates in the format 'A1'. " print "Let's place your", ship_object.ship_name, "." print ship_object.ship_name, "is ", ship_object.size, "cells long." raw_data = raw_input("Please give the starting coordinates. Ex. 'A1'. ") raw_data = quick_fix(raw_data) # print raw_data #Validates string, asks for new one till it validates temp_location_str = request_valid_location(raw_data, board_object) #Save start location string into ships start_location attribute ship_object.ship_location_start(temp_location_str) # print ship_object.start_location #Convert start_location to a grid_location and save ship_object.create_grid_start_loc(board_object) # print ship_object.grid_loc_start #Check of location is taken #If all_ship dictionary is empty get end coordinates if (game_pieces_object.all_ship_locations == {}): #Ask for end location coordinates print ship_object.start_location, "is your starting location. Ships may only be horizontal or vertical." raw_data = raw_input("Enter your ending coordinates. ") raw_data = quick_fix(raw_data) #Valitdate user input string asks for valid string till it gets one. temp_location_str = request_valid_location(raw_data, board_object) #Saves the location string ship_object.ship_location_end(temp_location_str) #Save end location string into ship end_location attribute ship_object.create_grid_end_loc(board_object) #Create ship grid location list #If true, add ships grid_loc_list to game_pieces all_ships dict ship_object.create_grid_loc_list() else: #Check if start grid location is taken #Check if ship already at location # print "dictionary not empty" if (game_pieces_object.is_taken(ship_object.grid_loc_start) == False): #Location not taken ask for end location #Ask for end location coordinates print ship_object.start_location, "is your starting location. Ships may only be horizontal or vertical." raw_data = raw_input("Enter your ending coordinates. ") raw_data = quick_fix(raw_data) #Valitdate user input string asks for valid string till it gets one. temp_location_str = request_valid_location(raw_data, board_object) #Saves the location string ship_object.ship_location_end(temp_location_str) #Creates the grid location ship_object.create_grid_end_loc(board_object) #Check if end location is already taken if (game_pieces_object.is_taken(ship_object.create_grid_end_loc) == True): #If it is not taken #Create ship grid location list #DELETE all location variables ship_object.erase_start_locations() ship_object.erase_end_locations() print "Ships maynot overlap. Please re-enter your coordinates." else: #Create ship grid location list #If true, add ships grid_loc_list to game_pieces all_ships dict ship_object.create_grid_loc_list() #Check if ship location list overlaps a previous ship if (game_pieces_object.is_overlap(ship_object) == True): #If it overlaps print error msg. print "Ships maynot overlap. Please re-enter your coordinates." #DELETE all location variables ship_object.erase_start_locations() ship_object.erase_end_locations() ship_object.erase_grid_location_list() #Go Back to getting Start Location coordinates # print ship_object.grid_loc_list # Save location list to ship location dictionary game_pieces_object.add_ship_loc_dict(ship_object) #Update players ship_board board_object.update_grid_ship(ship_object) #Print updated players ship board player_object.print_my_ships_board()

UTF-8

Python

false

6,050

py

14

utilities.py

9

0.722645

0.718678

0

188

31.170213

108

yangmin521/gjoa

10,849,087,425,131

08f39e29fde03565ecac83545184e704bae0ad01

0f2c32602b82eb64295c3dc1a806eb3791b71e8d

/Classes/DBObjects/Address.py

f6f0f3059ccb9dbcb3c6240175cbb2ceab1d7b6d

[]

no_license

https://github.com/yangmin521/gjoa

77a9a39477c979e0d71c55d606b03ad3270c397d

7a120a02340d07eb2b1d85ad21897cc5488c7092

refs/heads/master

2022-10-11T19:43:56.385287

2020-06-05T21:16:48

null

0

null

from Classes.DBObjects.DBObject import DBObject import decimal # Class to handle address class Address(DBObject): def __init__(self, address=None, pub_id=None, address_type=None, status=None, amount=None): super().__init__(table='addresses', key='aid') # Assign attributes, if present. self.address = address self.pub_id = pub_id self.address_type = address_type self.balance = amount self.status = status # Method to check if this address already exists in the database def check_address(self): if self.address is not None: return self.check(match_columns='address', matches=self.address) return self.check(match_columns=['pub_id', 'address_type'], matches=[self.pub_id, self.address_type]) # Method to add or update this address to the database. def push_address(self): value_columns = ['address', 'balance', 'status', 'address_type', 'pub_id'] values = [self.address, self.balance, self.status, self.address_type, self.pub_id] return self.push(value_columns=value_columns, values=values) # Method to load an address from the database. def pull_address(self): data = self.pull() if data is not None: self.address = data[1] self.address_type = data[2] self.balance = data[4] self.status = data[5] # Only override public_key id if it was previously not known (for linking) self.pub_id = data[6] if self.pub_id is None else self.pub_id # Method to delete this address from the database. def destroy_address(self): self.destroy() # TODO # Method to figure out if this address is in the database already def check_status(self): result = 0 # If the private key is known, disqualify result += 1 if self.status & 0b1 == 0b1 else 0 # Is this a generated pair? result += 4 if self.status & 0b0100 == 0b0100 else 0 # Is the private key known? if result != 0: return result + 2 if self.pub_id is not None else result # Is the public key known # If the public key is known, add 2. result += 2 if self.pub_id is not None else 0 # If private key is not known, return active if the balance is above 0 result += 1 if self.balance > 0.0 else 0 return result

UTF-8

Python

false

2,450

py

23

Address.py

22

0.61551

0.601633

0

56

41.785714

109

5unKn0wn/ctfs

3,839,700,790,584

980200562e61e4f8c770cfeb9416a009ee86ae44

8349aac7fbee610b2dbe5d1fa13e9d714a0264e3

/2018/tamu/pwn3.py

2af1e23ad5a2e0b5923dbbca14bfe6d0cb1885a0

[]

no_license

https://github.com/5unKn0wn/ctfs

3d3adde87ebbc8c2350e48274a15c35887444625

b973773b43bdb4e6ad80606aa11b690fc44545cb

refs/heads/master

2023-08-10T01:54:14.798392

2023-07-21T23:50:21

92,021,189

34

8

null

from pwn import * r = remote("pwn.ctf.tamu.edu", 4323) # r = process("./pwn3") payload = "A" * 0xf2 payload += p32(0x08048390) # puts got payload += p32(0x080485DB) # pr payload += p32(0x0804A018) # libc got payload += p32(0x080483D0) r.sendlineafter("echo? ", payload) r.recvuntil("\n") libc = u32(r.recv(4)) - 0x18540 system = libc + 0x3ada0 binsh = libc + 0x15ba0b log.info(hex(binsh)) payload = "A" * 0xf2 payload += p32(system) # puts got payload += p32(0x41414141) # pr payload += p32(binsh) # libc got r.sendlineafter("echo? ", payload) r.interactive()

UTF-8

Python

false

572

py

212

pwn3.py

166

0.660839

0.520979

0

26

21

38

darkdrei/GestionRegistro

9,749,575,771,658

c79868661d0ba03700d9f0caa17b0576729458f6

6bf54f8c985ec27ae62680719d755ba302659aaa

/usuario/models.py

3becb670b03426c353ec177bd817d54802bd3c2e

[ "MIT" ]

permissive

https://github.com/darkdrei/GestionRegistro

b480ee7438d316d7def3508fe6b0f03658139e14

df7d605822225251b19106e72e3bc20eb230249b

refs/heads/master

2021-01-20T04:36:39.559415

2017-08-06T19:49:51

89,705,335

0

null

false

2017-10-11T16:44:35

2017-04-28T12:46:50

2017-04-28T17:43:14

2017-10-11T16:44:15

5,383

0

2

JavaScript

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models import re from django.core import validators from django.contrib.auth.models import User from empresa import models as emp # Create your models here. class Documento(models.Model): nombre = models.CharField(max_length=30) descripcion = models.CharField(max_length=200, null=True, blank=True) estado= models.BooleanField(default=True) def __unicode__(self): return u'%s'%self.nombre #end def def __str__(self): return u'%s'%self.nombre #end def #end class class Usuario(User): documento = models.ForeignKey(Documento, verbose_name='Tipo de documento') identificacion = models.CharField(max_length=15, unique=True, validators=[ validators.RegexValidator(re.compile('^[0-9]+$'), ('identificacion no valida'), 'invalid')]) telefono_fijo = models.CharField(verbose_name='Telefono fijo',max_length=15, blank=True, validators=[ validators.RegexValidator(re.compile('^[0-9]+$'), ('telefono no valido'), 'invalid')]) telefono_celular = models.CharField(verbose_name='Celular',max_length=15, validators=[validators.RegexValidator( re.compile('^[0-9]+$'), ('telefono no valido'), 'invalid')]) estado = models.BooleanField(default=True) def __unicode__(self): return u'%s %s'%(self.first_name,self.last_name) #end def def __str__(self): return u'%s %s'%(self.first_name,self.last_name) #end def #end class class Cargo(models.Model): empresa = models.ForeignKey(emp.Empresa) nombre = models.CharField(max_length=30) descripcion = models.CharField(max_length=200, null=True, blank=True) estado= models.BooleanField(default=True) def __unicode__(self): return u'%s'%self.nombre #end def def __str__(self): return u'%s'%self.nombre #end def #end class class Empleado(Usuario): tienda = models.ForeignKey(emp.Tienda) direccion = models.CharField(max_length=50) fecha_nacimiento = models.DateField(null=True, blank=True) foto = models.ImageField(upload_to='empleado/', null=True, blank=True) def __unicode__(self): return u'%s %s'%(self.first_name,self.last_name) #end def def __str__(self): return u'%s %s'%(self.first_name,self.last_name) #end def class Meta: verbose_name = "Empleado" verbose_name_plural = "Empleados" #end class #end class class Administrador(Usuario): tienda = models.ForeignKey(emp.Tienda) direccion = models.CharField(max_length=50, null=True, blank=True) fecha_nacimiento = models.DateField(null=True, blank=True) foto = models.ImageField(upload_to='administrador/', null=True, blank=True) def __unicode__(self): return u'%s %s'%(self.first_name,self.last_name) #end def def __str__(self): return u'%s %s'%(self.first_name,self.last_name) #end def class Meta: verbose_name = "Administrador Tienda" verbose_name_plural = "Administradores de Tiendas" #end class #end class

UTF-8

Python

false

3,165

py

64

models.py

38

0.649605

0.641074

0

102

30.029412

130

j-kincaid/python-habits

1,675,037,272,763

e1ec11afa7f548e94308d825b4fbbc88633471bf

bcabfb5cc3bd9b228118b1c0e1348dd968c4fef1

/mysteryNumber.py

bb782ed91a2c947e56c99a335fd008395cb48b23

[]

no_license

https://github.com/j-kincaid/python-habits

f99df43c06f3fa6aecbebcbdf4a8985cfcad155e

17d49b46a2c2161ed317032c6ba0bc293fbb635e

refs/heads/main

2023-09-03T02:12:40.340032

2022-08-27T18:53:49

430,483,969

0

null

import random # """ # Feedback: The first printed statement should clue the user # in to what the program is doing. If they choose 1 in the beginning # then the random number will be picked between 1 and 1, it # will always be 1. It should say something more like # A random number will be picked between 1 and the number you input # or something along those lines. # """ top_of_range = input("Thank you for playing the Mystery number game! Type a number between 1 and 100: ") if top_of_range.isdigit(): top_of_range = int(top_of_range) rNum = random.randint(1, top_of_range) guesses = 0 print('You just chose a number. That is the greatest of the numbers that will be randomized. Try to guess the random number in 7 guesses or fewer.') while True: guesses += 1 user_guess = input("Make a guess: ") if user_guess.isdigit(): user_guess = int(user_guess) else: print('Please type a number next time.') continue if user_guess == rNum: print("Good Job! You guessed the number!") break elif user_guess > rNum: print("You were above the number!") else: print("That's below the number!") print("You guessed it in", guesses, "guesses")

UTF-8

Python

false

1,232

py

22

mysteryNumber.py

21

0.670455

0.659903

0

35

34.142857

148

humphrey43/RaspBerry

7,825,430,414,806

e34c6b5f0ed04c7874759d5c906138c604778028

f94f6cd9d337c91449d09776ac03e15736102fef

/RadioClock/src/radioclock/timebase.py

8beea7aa12fe1a54c566108c12bdfeab9b3fa91f

[]

no_license

https://github.com/humphrey43/RaspBerry

67a04276f17b5d50808cdd63165c5cf7cd5b18bb

aa46dd4e1eccd97140507c5797c874c52d9bd99c

refs/heads/master

2021-01-10T10:11:39.258197

2016-03-27T17:52:24

53,202,537

0

null

''' Created on 24.02.2016 @author: hardy ''' from datetime import datetime from datetime import timedelta from kivy.clock import Clock from swbus import SWBusComponent TIME_BASE = "TimeBase" TIME = "Time" SECOND = "Second" MINUTE = "Minute" FIRE = "Fire" TIMER = "Timer" INIT = "INIT" STOP = "STOP" class TimeBase(SWBusComponent): timerlist = [] def __init__(self): super(TimeBase, self).__init__(TIME_BASE) self.run = True self.time = datetime.now() self.lastminute = datetime.now() - timedelta(minutes=1) Clock.schedule_interval(self._check_time, 1) def register(self): self.announce_event(SECOND) self.announce_event(MINUTE) self.announce_event(FIRE) self.define_value(TIME) self.define_value(TIMER) def bus_stop(self): self.timerlist=[] self.run = False def get_time(self): return self.time def _check_time(self, dt): self.time = datetime.now() self.raise_event(SECOND, self.time) diff = self.time - self.lastminute if self.time.second == 0 or diff.seconds >= 60: self.lastminute = self.time self.raise_event(MINUTE, self.time) for t in self.timerlist: if t.nexttime <= self.time: t.count = t.count + 1 self.raise_event(FIRE, t) if t.repeat: t.nexttime = t.nexttime + timedelta(0,t.interval) else: self.timerlist.remove(t) return self.run def set_timer(self, timer): if timer.command == INIT: if timer.nexttime is None: timer.nexttime = datetime.now() + timedelta(0,timer.interval) self.timerlist.append(timer) else: for t in self.timerlist: if t.name == timer.name: self.timerlist.remove(t) break class Timer: command = "" name = "" interval = 0 count = 0 repeat = False nexttime = None

UTF-8

Python

false

2,163

py

29

timebase.py

24

0.539066

0.530744

0

85

24.341176

77

Prismary/taki

352,187,358,751

149f2f849fa76aa754c120a6005e82ab233ea5ac

70f15cb7ac90e532a16743a9bb4ef507ea76e62f

/twitter.py

4c810ca4c143e1fb6425b89285b5a1d5991bba18

[]

no_license

https://github.com/Prismary/taki

5e56595fb631420547be7653c23d16d529a465e6

b89ec42101508eeb6071e6568a9a4a7fa93e64c9

refs/heads/master

2020-09-26T19:03:49.783971

2020-04-13T14:26:28

226,320,442

3

1

null

import tweepy import yaml with open('config.yml', 'r') as cfgfile: config = yaml.load(cfgfile, Loader=yaml.FullLoader) consumer_token = config['tokens']['twitter']['consumer_token'] consumer_secret = config['tokens']['twitter']['consumer_secret'] access_token = config['tokens']['twitter']['access_token'] access_secret = config['tokens']['twitter']['access_secret'] def tweet(msg): auth = tweepy.OAuthHandler(consumer_token, consumer_secret) auth.set_access_token(access_token, access_secret) api = tweepy.API(auth) try: api.update_status(msg) return "> Successfully posted status to twitter." except tweepy.TweepError: return "> Error while posting status to twitter."

UTF-8

Python

false

689

py

6

twitter.py

4

0.730044

0

20

33.45

64

bellyfat/crypto-derivative-trading-engine

1,176,821,066,278

2939cd34491c5b9536504136388eb57a2975a428

c1fe1de6f1d579437e515cf99e81f71ecfa9e5d5

/diversifly/components/globals.py

d359a8dd1a9e81cfee908de67f23c7ae63412d67

[]

no_license

https://github.com/bellyfat/crypto-derivative-trading-engine

209d364681187fd467275718ed85b27354bfee48

11299d3c609f9acf7ef7264cce25c21a59ccc0a9

refs/heads/main

2023-05-09T23:47:26.652449

2021-06-01T21:48:51

null

0

null

import time as time import pandas as pd import numpy as np from datetime import datetime, timezone, timedelta import itertools as itertools from unsync import unsync from enum import Enum import logging as logging logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO) # python binance from binance.client import Client # sockets from binance.websockets import BinanceSocketManager from twisted.internet import reactor def utc_to_local(utc_dt): LOCAL_TIMEZONE = datetime.now(timezone.utc).astimezone().tzinfo return utc_dt.replace(tzinfo=timezone.utc).astimezone(tz=LOCAL_TIMEZONE) def is_finished_bar(local_timezone_dt): LOCAL_TIMEZONE = datetime.now(timezone.utc).astimezone().tzinfo return 1 if local_timezone_dt < datetime.now(LOCAL_TIMEZONE) else 0 # TODO: this should be paralelized @unsync def get_finished_bars(client, symbol, STRATEGY_RUN_INTERVAL, since, MARKET): if MARKET == "SPOT": currency_bars = pd.DataFrame(client.get_historical_klines(symbol, STRATEGY_RUN_INTERVAL, since), columns=['date', 'open', 'high', 'low', 'close', 'volume', 'closeTime', 'QAV', 'numberOfTrades', 'd1', 'd2', 'd3']) # .tail(1) elif MARKET == "FUT": currency_bars = pd.DataFrame(client.futures_klines(symbol=symbol, interval=STRATEGY_RUN_INTERVAL), columns=['date', 'open', 'high', 'low', 'close', 'volume', 'closeTime', 'QAV', 'numberOfTrades', 'd1', 'd2', 'd3']) currency_bars.closeTime = pd.to_datetime(currency_bars.closeTime, unit='ms') currency_bars.date = pd.to_datetime(currency_bars.date, unit='ms') currency_bars["closeTimeLocal"] = currency_bars.closeTime.apply(utc_to_local) # closeTime, unit='ms') currency_bars["finishedBar"] = currency_bars.closeTimeLocal.apply(is_finished_bar) currency_bars = currency_bars[currency_bars.finishedBar == 1] currency_bars.index = currency_bars.date return currency_bars @unsync def get_finished_bars2(client, symbol, STRATEGY_RUN_INTERVAL, since, MARKET, limit): def is_finished_bar(local_timezone_dt): LOCAL_TIMEZONE = datetime.now(timezone.utc).astimezone().tzinfo return 1 if local_timezone_dt < datetime.now(LOCAL_TIMEZONE) else 0 try: if MARKET == "S": currency_bars = pd.DataFrame(client.get_historical_klines(symbol, STRATEGY_RUN_INTERVAL, since), columns=['date', 'open', 'high', 'low', 'close', 'volume', 'closeTime', 'QAV', 'numberOfTrades', 'd1', 'd2', 'd3']) elif MARKET == "F": currency_bars = pd.DataFrame( client.futures_klines(symbol=symbol, interval=STRATEGY_RUN_INTERVAL, limit=limit), columns=['date', 'open', 'high', 'low', 'close', 'volume', 'closeTime', 'QAV', 'numberOfTrades', 'd1', 'd2', 'd3']) currency_bars.date = pd.to_datetime(currency_bars.date, unit='ms') currency_bars.index = currency_bars.date return currency_bars except Exception as e: logging.info(f"get_finished_bars - Exception: {e}") return None

UTF-8

Python

false

3,301

py

16

globals.py

13

0.63193

0.626174

0

73

44.232877

119

Billdex/weiboSpider

11,261,404,265,852

5e55cab025f017dfbd933fcb03acfe722d5d7e0c

a64b042cb2c154ff7c913c17bd6677b02f2b753b

/relaySpider.py

1e4b0f0154cbc0ac62c5e2d7234f6a0b427811a6

[]

no_license

https://github.com/Billdex/weiboSpider

1e527922e250a32a636eaf5ce154c6e50ca119fb

7ae539a56fc28f1c30deb65afa99232b15431d6e

refs/heads/master

2020-06-03T23:42:25.132479

2019-06-18T12:30:20

191,780,662

0

null

import time import random import matplotlib.pyplot as plt from spiderUtils import * # 获取某条微博转发用户的信息 def getRelayUsers(mid, num): Users = [] for page in range(1, 25000): url = 'https://m.weibo.cn/api/statuses/repostTimeline?id={}&page={}'.format(mid, page) data = json.loads(getHtmlText(url)) if data['ok'] == 0 or num <= 0: return Users for relayUser in data['data']['data']: UserInfo = dict() # 因为在这个页面已经提供了用户的详细信息，就不再通过另一个api来获取用户信息 UserInfo['id'] = relayUser['user']['id'] UserInfo['name'] = relayUser['user']['screen_name'] UserInfo['gender'] = '女' if relayUser['user']['gender'] == 'f' else '男' UserInfo['statuses_count'] = relayUser['user']['statuses_count'] UserInfo['desc'] = relayUser['user']['description'] UserInfo['fans_count'] = relayUser['user']['followers_count'] UserInfo['follow_count'] = relayUser['user']['follow_count'] printUserInfo(UserInfo) Users.append(UserInfo) num -= 1 # 别爬太快，会封ip time.sleep(random.uniform(0.5, 1)) with open('./relayUsersData_cache.json', 'w', encoding='utf-8') as f: f.write(json.dumps(Users, ensure_ascii=False)) return Users if __name__ == '__main__': # 蔡徐坤2019.5.7某条微博 mid = '4369316738673069' try: with open('./relayUsersData.json', 'r', encoding='utf-8') as f: data = json.load(f) except: data = getRelayUsers(mid, 10000) print(data) with open('./relayUsersData.json', 'w', encoding='utf-8') as f: f.write(json.dumps(data, ensure_ascii=False)) # 假粉转发比例 fans_fake = 0 fans_real = 0 for fansInfo in data: if fansInfo['statuses_count'] <= 15 and fansInfo['fans_count'] <= 10: fans_fake += 1 else: fans_real += 1 name_list = ['假转发流量', '真转发流量'] num_list = [fans_fake, fans_real] colors = ['gray', 'red'] # 圆形 plt.figure(1, figsize=(6, 6)) # 决定分割部分，及其与其它部分之间的间距 expl = [0, 0.1] plt.pie(x=num_list, explode=expl, labels=name_list, autopct='%3.1f %%', colors=colors, shadow=True) plt.rcParams['font.sans-serif'] = ['YouYuan'] plt.rcParams['axes.unicode_minus'] = False plt.show()

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relaySpider.py

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Cornholius/web_library

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c9cd61d9f51b57699806574f887f3da83267f419

29b24bad90a48399174da29335f9182e27ef0e82

/library/forms.py

7376aef0483a1c26ad0a522f0e12c1a3ef93146f

[]

no_license

https://github.com/Cornholius/web_library

fde9e58cafcd28c56195838d8623c55ade732d69

856a51697a0eff9ed5396333f0f6e13cb3e8acd0

refs/heads/master

2020-09-25T01:38:11.577269

2019-12-09T14:34:50

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0

null

from django import forms class UserForm(forms.Form): search_field = forms.CharField(label='', widget=forms.TextInput(attrs={'size': '40'})) class AddBookForm(forms.Form): author = forms.CharField(label='Автор', max_length=120, widget=forms.TextInput(attrs={'size': '68'})) book_name = forms.CharField(label='Название', max_length=120, widget=forms.TextInput(attrs={'size': '68'})) description = forms.CharField(required=False, label='Описание', widget=forms.Textarea(attrs={'rows': 20, 'cols': 70})) class DeleteBookForm(forms.Form): author = forms.CharField(label='Автор', max_length=120, widget=forms.TextInput(attrs={'size': '68'})) book_name = forms.CharField(label='Название', max_length=120, widget=forms.TextInput(attrs={'size': '68'}))

UTF-8

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py

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forms.py

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0.638821

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jpawlikow/auth_app

16,252,156,258,163

7cd6825ae8b9def423f3c5c303bc1d28ef80f790

dcd6b89bf543f4ef533894336daa98eb16bc5628

/account_app/admin.py

1f7b6d0d0c5dfb4d52b363f8b363cfe1ed930fb4

[]

no_license

https://github.com/jpawlikow/auth_app

9f7bd52a0e02a12e7ed68b09bc36abef8302340a

5af32754f2de53aeb274676cc8c46ea8da7e1b65

refs/heads/master

2022-04-22T16:17:19.338788

2020-04-18T11:41:36

256,744,635

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null

from django.contrib import admin from account_app.models import UserProfile, Site @admin.register(UserProfile) class UserProfileAdmin(admin.ModelAdmin): pass @admin.register(Site) class SiteAdmin(admin.ModelAdmin): pass

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py

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admin.py

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abhiabhi94/fulfil-io-trial-project

19,215,683,715,494

6103d513100e6324f1218cabca6e8638797b5b6c

f56e703188ba38034e98a5475de15010648932ab

/product/managers/hook.py

3e80a0db01bb2f4dfa8c2b2dba497fbe7dc64c1c

[]

no_license

https://github.com/abhiabhi94/fulfil-io-trial-project

ffb64a3f533efc3b1b30e660b2308c5a820f2582

627fbc517262ccbe6a2fdac89c695ba4a9fe2e5f

refs/heads/main

2023-06-25T22:32:51.619299

2021-07-30T00:48:55

2021-07-30T01:01:01

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0

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from django.db import models class SubscriberManager(models.Manager): def get_subscribers(self, event): return self.filter(event=event)

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hook.py

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sky-dream/LeetCodeProblemsStudy

1,872,605,767,070

54dd3e60480d697f5d0fe9d203a9f1d8b8a15fb7

6d25434ca8ce03f8fef3247fd4fc3a1707f380fc

/[0072][Hard][Edit_Distance]/Edit_Distance_4.py

fbd7c53e9064de801a2378489fcc5d8a91dd7a45

[]

no_license

https://github.com/sky-dream/LeetCodeProblemsStudy

145f620e217f54b5b124de09624c87821a5bea1b

e0fde671cdc9e53b83a66632935f98931d729de9

refs/heads/master

2020-09-13T08:58:30.712604

2020-09-09T15:54:06

222,716,337

2

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null

# leetcode time cost : 92 ms # leetcode memory cost : 16.2 MB # Time Complexity: O(M*N) # Space Complexity: O(M*N) # solution 2. dp with recursion class Solution: def minDistance(self, s1, s2) -> int: memo = dict() # the memory cache def dp(i, j): if (i, j) in memo: return memo[(i, j)] # base case if i == -1: return j + 1 if j == -1: return i + 1 if s1[i] == s2[j]: memo[(i, j)] = dp(i - 1, j - 1) # do nothing in this case else: memo[(i, j)] = min( dp(i, j - 1) + 1, # insert dp(i - 1, j) + 1, # delete dp(i - 1, j - 1) + 1 # replace ) return memo[(i, j)] # the last index of i，j return dp(len(s1) - 1, len(s2) - 1) def main(): word1 = "horse" # expect is 3, word2 = "ros" obj = Solution() result = obj.minDistance(word1, word2) print("return result is ",result); if __name__ =='__main__': main()

UTF-8

Python

false

1,052

py

794

Edit_Distance_4.py

763

0.452381

0.421905

0

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GoogleCloudPlatform/PerfKitBenchmarker

14,946,486,200,041

4d2b5a71db7ad8947620bf729485e973600fc0e4

ecaba173879f92f24e3c951866fda23c0a4fc426

/perfkitbenchmarker/resource.py

6cf140127954e1443578e5b798d9aa63c58bd236

[ "Classpath-exception-2.0", "BSD-3-Clause", "AGPL-3.0-only", "MIT", "GPL-2.0-only", "Apache-2.0", "LicenseRef-scancode-public-domain", "BSD-2-Clause" ]

permissive

https://github.com/GoogleCloudPlatform/PerfKitBenchmarker

2f4917fd796db4eb90822c557d8fa08a497fbd48

d0699f32998898757b036704fba39e5471641f01

refs/heads/master

2023-09-02T08:14:54.110308

2023-09-01T20:28:01

2023-09-01T20:28:38

21,950,910

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Apache-2.0

false

2023-09-13T22:37:42

2014-07-17T17:23:26

2023-09-11T14:39:11

2023-09-13T22:37:42

22,937

1,817

480

255

Python

false

# Copyright 2014 PerfKitBenchmarker Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Module containing abstract class for reliable resources. The Resource class wraps unreliable create and delete commands in retry loops and checks for resource existence so that resources can be created and deleted reliably. """ import abc import itertools import logging import time from typing import List from absl import flags from perfkitbenchmarker import errors from perfkitbenchmarker import sample from perfkitbenchmarker import vm_util FLAGS = flags.FLAGS _RESOURCE_REGISTRY = {} def GetResourceClass(base_class, **kwargs): """Returns the subclass with the corresponding attributes. Args: base_class: The base class of the resource to return (e.g. BaseVirtualMachine). **kwargs: Every attribute/value of the subclass's REQUIRED_ATTRS that were used to register the subclass. Raises: Exception: If no class could be found with matching attributes. """ key = [base_class.__name__] key += sorted(kwargs.items()) if tuple(key) not in _RESOURCE_REGISTRY: raise errors.Resource.SubclassNotFoundError( 'No %s subclass defined with the attributes: %s' % (base_class.__name__, kwargs)) resource = _RESOURCE_REGISTRY.get(tuple(key)) # Set the required attributes of the resource class for key, value in kwargs.items(): setattr(resource, key, value) return resource class AutoRegisterResourceMeta(abc.ABCMeta): """Metaclass which allows resources to automatically be registered.""" # See BaseResource RESOURCE_TYPE: str REQUIRED_ATTRS: List[str] def __init__(cls, name, bases, dct): if (all(hasattr(cls, attr) for attr in cls.REQUIRED_ATTRS) and cls.RESOURCE_TYPE): unset_attrs = [ attr for attr in cls.REQUIRED_ATTRS if getattr(cls, attr) is None] # Raise exception if subclass with unset attributes. if unset_attrs and cls.RESOURCE_TYPE != cls.__name__: raise Exception( 'Subclasses of %s must have the following attrs set: %s. For %s ' 'the following attrs were not set: %s.' % (cls.RESOURCE_TYPE, cls.REQUIRED_ATTRS, cls.__name__, unset_attrs)) # Flatten list type attributes with cartesian product. # If a class have two list attributes i.e. # class Example(AutoRegisterResourceMeta): # CLOUD = ['GCP', 'AWS'] # ENGINE = ['mysql', 'postgres'] # .... # GetResourceClass(Example, CLOUD='GCP', ENGINE='mysql') # would return Example. attributes = [[cls.RESOURCE_TYPE]] for attr in sorted(cls.REQUIRED_ATTRS): value = getattr(cls, attr) if not isinstance(value, list): attributes.append([(attr, value)]) else: attributes.append([(attr, i) for i in value]) # Cross product for key in itertools.product(*attributes): _RESOURCE_REGISTRY[tuple(key)] = cls super(AutoRegisterResourceMeta, cls).__init__(name, bases, dct) class BaseResource(metaclass=AutoRegisterResourceMeta): """An object representing a cloud resource. Attributes: created: True if the resource has been created. deleted: True if the resource has been deleted. user_managed: Whether Create() and Delete() should be skipped. restored: True if the resource has been restored. enable_freeze_restore: Whether the resource should use freeze/restore when the option is specified on the command line. Different benchmarks may want different resources to have freeze/restore enabled. create_on_restore_error: Whether to create the resource if there is an issue while restoring. delete_on_freeze_error: Whether to delete the resource if there is an issue while freezing. create_start_time: The start time of the last create. delete_start_time: The start time of the last delete. create_end_time: The end time of the last create. delete_end_time: The end time of the last delete. resource_ready_time: The time when the resource last became ready. metadata: Dictionary of resource metadata. """ # The name of the base class (e.g. BaseVirtualMachine) that will be extended # with auto-registered subclasses. RESOURCE_TYPE = None # A list of attributes that are used to register Resource subclasses # (e.g. CLOUD). REQUIRED_ATTRS = ['CLOUD'] # Timeout in seconds for resource to be ready. READY_TIMEOUT = None # Time between retries. POLL_INTERVAL = 5 def __init__( self, user_managed=False, enable_freeze_restore=False, create_on_restore_error=False, delete_on_freeze_error=False, ): super(BaseResource, self).__init__() # Class level attributes does not persist after pickle # Copy required attributes to the object for attribute in self.REQUIRED_ATTRS: setattr(self, attribute, getattr(self, attribute, None)) self.created = user_managed self.deleted = user_managed self.user_managed = user_managed self.restored: bool = False self.enable_freeze_restore = enable_freeze_restore self.create_on_restore_error = create_on_restore_error self.delete_on_freeze_error = delete_on_freeze_error # Creation and deletion time information # that we may make use of later. self.create_start_time = None self.delete_start_time = None self.create_end_time = None self.delete_end_time = None self.resource_ready_time = None self.metadata = dict() def GetResourceMetadata(self): """Returns a dictionary of metadata about the resource.""" return self.metadata.copy() @abc.abstractmethod def _Create(self): """Creates the underlying resource.""" raise NotImplementedError() def _Restore(self) -> None: """Restores the underlying resource from a file. This method is required if using Restore() with a resource. """ raise NotImplementedError() def _Freeze(self) -> None: """Freezes the underlying resource to a long-term, sustainable state. This method is required if using Restore() with a resource. """ raise NotImplementedError() def _UpdateTimeout(self, timeout_minutes: int) -> None: """Updates the underlying resource's timeout after a successful freeze. This method is required if using Freeze()/Restore() with a resource. Args: timeout_minutes: The number of minutes past the current time at which the resource should be considered expired. """ raise NotImplementedError() @abc.abstractmethod def _Delete(self): """Deletes the underlying resource. Implementations of this method should be idempotent since it may be called multiple times, even if the resource has already been deleted. """ raise NotImplementedError() def _Exists(self): """Returns true if the underlying resource exists. Supplying this method is optional. If it is not implemented then the default is to assume success when _Create and _Delete do not raise exceptions. """ raise NotImplementedError() def _WaitUntilRunning(self): """Waits until the resource is (or was) running. Supplying this method is optional. Use it when a resource is created using an asynchronous create command and its status is verified as running via repeatedly polling the resource with 'describe' commands. """ pass def _IsReady(self): """Return true if the underlying resource is ready. Supplying this method is optional. Use it when a resource can exist without being ready. If the subclass does not implement it then it just returns true. Returns: True if the resource was ready in time, False if the wait timed out. """ return True def _IsDeleting(self): """Return true if the underlying resource is getting deleted. Supplying this method is optional. Potentially use when the resource has an asynchronous deletion operation to avoid rerunning the deletion command and track the deletion time correctly. If the subclass does not implement it then it just returns false. Returns: True if the resource was being deleted, False if the resource was in a non deleting state. """ return False def _PreDelete(self): """Method that will be called once before _DeleteResource() is called. Supplying this method is optional. If it is supplied, it will be called once, before attempting to delete the resource. It is intended to allow data about the resource to be collected right before it is deleted. """ pass def _PostCreate(self): """Method that will be called once after _CreateResource() is called. Supplying this method is optional. If it is supplied, it will be called once, after the resource is confirmed to exist. It is intended to allow data about the resource to be collected or for the resource to be tagged. """ pass def _CreateDependencies(self): """Method that will be called once before _CreateResource() is called. Supplying this method is optional. It is intended to allow additional flexibility in creating resource dependencies separately from _Create(). """ pass def _DeleteDependencies(self): """Method that will be called once after _DeleteResource() is called. Supplying this method is optional. It is intended to allow additional flexibility in deleting resource dependencies separately from _Delete(). """ pass @vm_util.Retry(retryable_exceptions=(errors.Resource.RetryableCreationError,)) def _CreateResource(self): """Reliably creates the underlying resource.""" if self.created: return # Overwrite create_start_time each time this is called, # with the assumption that multple calls to Create() imply # that the resource was not actually being created on the # backend during previous failed attempts. self.create_start_time = time.time() self._Create() try: if not self._Exists(): raise errors.Resource.RetryableCreationError( 'Creation of %s failed.' % type(self).__name__) except NotImplementedError: pass self._WaitUntilRunning() self.created = True self.create_end_time = time.time() @vm_util.Retry(retryable_exceptions=(errors.Resource.RetryableDeletionError,), timeout=3600) def _DeleteResource(self): """Reliably deletes the underlying resource.""" # Retryable method which allows waiting for deletion of the resource. @vm_util.Retry(poll_interval=self.POLL_INTERVAL, fuzz=0, timeout=3600, retryable_exceptions=( errors.Resource.RetryableDeletionError,)) def WaitUntilDeleted(): if self._IsDeleting(): raise errors.Resource.RetryableDeletionError('Not yet deleted') if self.deleted or not self.created: return if not self.delete_start_time: self.delete_start_time = time.time() self._Delete() WaitUntilDeleted() try: if self._Exists(): raise errors.Resource.RetryableDeletionError( 'Deletion of %s failed.' % type(self).__name__) except NotImplementedError: pass def Restore(self) -> None: """Restores a resource instead of creating it. Raises: RestoreError: Generic error encompassing restore failures. """ # TODO(user): Add usage lock with labels to prevent multiple # benchmarks from using the same resource concurrently. logging.info('Restoring resource %s.', repr(self)) try: self._Restore() except NotImplementedError as e: raise errors.Resource.RestoreError( f'Class {self.__class__} does not have _Restore() implemented but a ' 'restore file was provided.') from e except Exception as e: raise errors.Resource.RestoreError('Error restoring resource ' f'{repr(self)}') from e self.restored = True self.UpdateTimeout(FLAGS.timeout_minutes) def Create(self, restore: bool = False) -> None: """Creates a resource and its dependencies. Args: restore: Whether to restore the resource instead of creating. If enable_freeze_restore is false, this proceeds with creation. Raises: RestoreError: If there is an error while restoring. """ @vm_util.Retry(poll_interval=self.POLL_INTERVAL, fuzz=0, timeout=self.READY_TIMEOUT, retryable_exceptions=( errors.Resource.RetryableCreationError,)) def WaitUntilReady(): if not self._IsReady(): raise errors.Resource.RetryableCreationError('Not yet ready') if self.user_managed: return if restore and self.enable_freeze_restore: try: self.Restore() return except errors.Resource.RestoreError: logging.exception( 'Encountered an exception while attempting to Restore(). ' 'Creating: %s', self.create_on_restore_error) if not self.create_on_restore_error: raise self._CreateDependencies() self._CreateResource() WaitUntilReady() if not self.resource_ready_time: self.resource_ready_time = time.time() self._PostCreate() def Freeze(self) -> None: """Freezes a resource instead of deleting it. Raises: FreezeError: Generic error encompassing freeze failures. """ logging.info('Freezing resource %s.', repr(self)) # Attempt to call freeze, failing if unimplemented. try: self._Freeze() except NotImplementedError as e: raise errors.Resource.FreezeError( f'Class {self.__class__} does not have _Freeze() implemented but ' 'Freeze() was called.') from e except Exception as e: raise errors.Resource.FreezeError( f'Error freezing resource {repr(self)}') from e # If frozen successfully, attempt to update the timeout. self.restored = False self.UpdateTimeout(FLAGS.persistent_timeout_minutes) def Delete(self, freeze: bool = False) -> None: """Deletes a resource and its dependencies. Args: freeze: Whether to freeze the resource instead of deleting. If enable_freeze_restore is false, this proceeds with deletion. Raises: FreezeError: If there is an error while freezing. """ if self.user_managed: return # Some resources (specifically VMs) lazily compute their metadata rather # than computing it after provisioning and stashing in their metadata dict # or static fields as they are supposed to. # Asking for metadata before deleting it should cache it and make it # available after we tear down resources, which is necessary for attaching # metadata in benchmark_spec.GetSamples() self.GetResourceMetadata() if freeze and self.enable_freeze_restore: try: self.Freeze() return except errors.Resource.FreezeError: logging.exception( 'Encountered an exception while attempting to Freeze(). ' 'Deleting: %s', self.delete_on_freeze_error) if not self.delete_on_freeze_error: raise self._PreDelete() self._DeleteResource() self.deleted = True self.delete_end_time = time.time() self._DeleteDependencies() def UpdateTimeout(self, timeout_minutes: int) -> None: """Updates the timeout of the underlying resource. Args: timeout_minutes: The number of minutes past the current time at which the resource should be considered expired. Raises: NotImplementedError: If the resource has not implemented _UpdateTimeout(). """ logging.info('Updating timeout for %s.', repr(self)) try: self._UpdateTimeout(timeout_minutes) except NotImplementedError: logging.exception( 'Class %s does not have _UpdateTimeout() implemented, which is ' 'needed for Freeze(). Please add an implementation.', self.__class__) raise def GetSamples(self) -> List[sample.Sample]: """Get samples relating to the provisioning of the resource.""" # This should not be necessary. Resources are responsible to wire their # GetResourceMetadata into publisher.py, but some do not. metadata = self.GetResourceMetadata() metadata['resource_type'] = self.RESOURCE_TYPE metadata['resource_class'] = self.__class__.__name__ samples = [] if self.create_start_time and self.create_end_time: samples.append( sample.Sample( 'Time to Create', self.create_end_time - self.create_start_time, 'seconds', metadata, ) ) if self.create_start_time and self.resource_ready_time: samples.append( sample.Sample( 'Time to Ready', self.resource_ready_time - self.create_start_time, 'seconds', metadata, ) ) if self.delete_start_time and self.delete_end_time: samples.append( sample.Sample( 'Time to Delete', self.delete_end_time - self.delete_start_time, 'seconds', metadata, ) ) return samples

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afcarl/Thor-Server

10,084,583,223,026

137237b603812b8f69de9d04f1458febbd36f282

3e3f0c127ab5750d6bf37e2e6a922f69cb3e0114

/website/views/login.py

e151f60cd61999737c680cc232242f55dff7af29

[ "MIT" ]

permissive

https://github.com/afcarl/Thor-Server

823ecbf8c23e756e17ba5cd4def17f384b6dbf9c

1acaf7436b22100ef241c779365fb0297165c063

refs/heads/master

2020-09-04T17:36:13.759521

2018-06-04T10:41:52

null

0

null

from flask import Blueprint, render_template, redirect, flash, request, url_for from flask_login import login_user, logout_user, login_required from ..utils import require_unauthed, ts, send_email from ..forms import LoginForm, EmailForm, PasswordForm from ..models import User from .. import db login = Blueprint("login", __name__) @login.route("/login/", methods=["GET", "POST"]) @require_unauthed def login_page(): form = LoginForm() if form.validate_on_submit(): user = User.query.filter_by( username=form.username.data ).first() login_user(user, form.remember_me.data) flash("Logged in successfully!", "success") next = request.args.get("next") return redirect(next or url_for("index.page")) return render_template("login.jinja2", form=form) @login.route("/logout/") @login_required def logout_page(): logout_user() flash("Logged out successfully!", "success") return redirect(url_for("index.page")) @login.route('/reset/', methods=["GET", "POST"]) @require_unauthed def reset(): form = EmailForm() if form.validate_on_submit(): # Send an email to the user requesting to change the account's password. user = User.query.filter_by(email=form.email.data).first_or_404() subject = "Password reset requested" # Here we use the URLSafeTimedSerializer we created. token = ts.dumps(user.email, salt="recover-key") recover_url = url_for("login.reset_with_token", token=token, _external=True) html = render_template("email/recover.jinja2", recover_url=recover_url) send_email(user.email, subject, html) flash("Sent password reset request to {}".format(form.email.data), "success") return redirect(url_for("index.page")) return render_template("reset.jinja2", form=form) @login.route('/reset/<token>', methods=["GET", "POST"]) @require_unauthed def reset_with_token(token): try: email = ts.loads(token, salt="recover-key", max_age=86400) except: abort(404) form = PasswordForm() if form.validate_on_submit(): user = User.query.filter_by(email=email).first_or_404() user.password = form.password.data db.session.commit() flash("Successfully reset password!", "success") return redirect(url_for("login.login_page")) return render_template("reset_with_token.jinja2", form=form, token=token)

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Python

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azmtva01/Money-Control

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db03b193cddc969c8f01a7a77202f62b2cccc209

30250bc838b78e8fb4f20fc66f1ac9e0894a835a

/moneyproj/moneyapp/admin.py

a64d56137cbe4bb05aa13adde932042e72b789a6

[]

no_license

https://github.com/azmtva01/Money-Control

67eaa93e4429302752c1c2f442b2d4555f790883

1867d3db4ea0c6a8a1da9fe5549e52a631f88362

refs/heads/master

2022-07-29T19:03:53.995792

2020-05-22T10:47:01

266,083,774

0

null

from django.contrib import admin from django.utils.safestring import mark_safe from .models import Category, Person, Budget class BudgetInline(admin.TabularInline): model = Budget extra = 1 class PersonAdmin(admin.ModelAdmin): list_display = ('name', 'age', 'user_profile', 'currency', 'auth_code', 'total_account', 'image', 'id') readonly_fields = ('get_image', 'id') inlines = [BudgetInline] save_on_top = True search_fields = ('name',) def get_image(self, obj): return mark_safe(f'<img src={obj.image.url} width="50", height="60" ') get_image.short_description = 'Image' class BudgetAdmin(admin.ModelAdmin): list_display = ('person', 'income_value', 'expense_value', 'category', 'added_date', 'id') list_filter = ('category', 'added_date', ) search_fields = ('person', 'income_value', ) class CategoryAdmin(admin.ModelAdmin): list_display = ('title', 'budget_choice', 'id') list_filter = ('title',) search_fields = ('title',) admin.site.register(Category, CategoryAdmin) admin.site.register(Person, PersonAdmin) admin.site.register(Budget, BudgetAdmin) admin.site.site_title = "Money Control" admin.site.site_header = "Money Control"

UTF-8

Python

false

1,216

py

11

admin.py

11

0.677632

0.67352

0

39

30.179487

107

leantony/learing-python

3,066,606,650,565

6dc976f4598be80b6bfa355dedb754d8039be160

fd602843d5a5ba03c186fb578f0a775ee175a079

/files.py

037a71fa17feda508aed9c8b678bd98c200ddc2b

[]

no_license

https://github.com/leantony/learing-python

6ef6cb1944587e3036cca0af0bf5dde4cd287e3a

846e263da64cc561d84ff20462874896cefc43e3

refs/heads/master

2021-08-18T19:47:38.404290

2017-11-23T17:44:42

105,186,698

0

null

data = open('alice.txt', 'r') content = data.read() i = 0 s = [] for line in content.split(): i +=1 s.append(line) print(len(s))

UTF-8

Python

false

133

py

12

files.py

10

0.586466

0.571429

0

10

12.3

29

drdavidknott/betterstart

16,630,113,384,106

e3f6074589a9a6f9388bb407a904877fe883eeb5

bf2aa4eab14a6a5347fe4af65cc4a37f512a465d

/betterstart/settings.py

73aa5d9f84c613aea47477541215b345859de51f

[]

no_license

https://github.com/drdavidknott/betterstart

0cda889f5cd6bb779f6d1fa75cb4f2ef08eb626c

59e2f8282b34b7c75e1e19e1cfa276b787118adf

refs/heads/master

2023-05-04T07:32:24.796488

2023-04-16T15:26:30

173,626,906

0

null

false

2023-02-18T07:27:55

2019-03-03T20:37:01

2022-01-02T10:33:21

2023-02-18T07:27:18

6,245

0

30

Python

false

""" Django settings for betterstart project. Generated by 'django-admin startproject' using Django 2.1.5. For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/ # Get the secret key from the environment variable; default is only here to support local development SECRET_KEY = os.getenv('BETTERSTART_SK','=lnd59!%m+51yz(h&-ud07cs8a(1kzw&_utqjoxi+50+=45f44') # Get the debug flag from the relevant environment variable if os.getenv('BETTERSTART_DEBUG',None) == 'True': DEBUG = True # otherwise turn off debug else: DEBUG = False ALLOWED_HOSTS = [ 'betterstart-236907.appspot.com', '127.0.0.1', 'oysta.org', 'www.oysta.org', 'betterstart.oysta.org', 'betterstart-uat.appspot.com', ] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'people.apps.PeopleConfig', 'crispy_forms', 'django_otp', 'django_otp.plugins.otp_totp', 'django_otp.plugins.otp_hotp', 'django_otp.plugins.otp_static', 'zxcvbn_password', 'jsignature', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django_otp.middleware.OTPMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'betterstart.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'betterstart.wsgi.application' CRISPY_TEMPLATE_PACK = 'bootstrap3' OTP_TOTP_ISSUER = os.getenv('BETTERSTART_OTP_ISSUER','Betterstart OTP Default') # Database # https://docs.djangoproject.com/en/2.1/ref/settings/#databases if os.getenv('BETTERSTART_DB', None) == 'local': DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } elif os.getenv('GAE_APPLICATION', None): DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', 'HOST': os.getenv('BETTERSTART_DB_HOST', None), 'USER': os.getenv('BETTERSTART_DB_USER', None), 'PASSWORD': os.getenv('BETTERSTART_PW', None), 'NAME': os.getenv('BETTERSTART_DB_NAME', None), } } else: DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', 'HOST': '127.0.0.1', 'PORT': os.getenv('BETTERSTART_DB_PORT', None), 'NAME': os.getenv('BETTERSTART_DB_NAME', None), 'USER': os.getenv('BETTERSTART_DB_USER', None), 'PASSWORD': os.getenv('BETTERSTART_PW', None), } } # Password validation # https://docs.djangoproject.com/en/2.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, { 'NAME': 'zxcvbn_password.ZXCVBNValidator', 'OPTIONS': { 'min_score': 3, 'user_attributes': ('username', 'email', 'first_name', 'last_name') } }, ] # Internationalization # https://docs.djangoproject.com/en/2.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'Europe/London' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.1/howto/static-files/ STATIC_URL = '/static/' STATIC_ROOT = 'static' MEDIA_ROOT = 'media' MEDIA_URL = '/media/' # Authentication LOGIN_URL = '/people/login' # Sendgrid email settings SENDGRID_API_KEY = os.getenv('SENDGRID_API_KEY') EMAIL_HOST = 'smtp.sendgrid.net' EMAIL_HOST_USER = 'apikey' EMAIL_HOST_PASSWORD = SENDGRID_API_KEY EMAIL_PORT = 587 EMAIL_USE_TLS = True

UTF-8

Python

false

4,728

py

342

settings.py

193

0.71214

0.699027

0

186

24.419355

101

zfbi/lss

15,187,004,362,472

42fc6b8134b5bfca5c4356cdb0e6b6f24926abc8

06a775cbc3fdfd2069eda66c5ed0e7b04633b470

/src/lss/flat/flatr3.py

76c5e10a6dc065b171b00afcba9bf9c0d5444b85

[]

no_license

https://github.com/zfbi/lss

6937fe53a8c34e1d1b819ee7e9ae20e08d6d634d

d09aac9fe6dc7f2ed88f66cb4803676ade67a1ff

refs/heads/master

2021-05-30T03:02:14.632492

2014-11-24T21:42:44

null

0

null

''' Non-vertical flattening using transformed rotation equations ''' from imports import * pngDir = None #pngDir = '/Users/sluo/Desktop/' seisDir = '/data/scratch/' s1,s2,s3 = Sampling(201),Sampling(201),Sampling(201) n1,n2,n3 = s1.count,s2.count,s3.count k1,k2,k3 = 190,190,190; azimuth=240; elevation=20 # for 3D views timer = Stopwatch() ############################################################################# def main(args): show() #makeFake3d() #goFlatten() def show(): f = read('f'); display(f,name='f') g = read('g'); display(g,name='g') def goFlatten(): slopes = False shifts = False f = read('f') if slopes: u1,u2,u3,ep = like(f),like(f),like(f),like(f) timer.restart(); print 'slopes...' LocalOrientFilter(1.0,1.0).applyForNormalPlanar(f,u1,u2,u3,ep) timer.stop(); print 'slopes in %.2fs'%timer.time() fill(u1[n3/2][n2/2][n1/2],u1) fill(u2[n3/2][n2/2][n1/2],u2) fill(u3[n3/2][n2/2][n1/2],u3) fill(1.0,ep) #display(u1,cmap=jet,name='u1') #display(u2,cmap=jet,name='u2') #display(u3,cmap=jet,name='u3') #display(ep,cmap=jet,name='ep') write('u1',u1) write('u2',u2) write('u3',u3) write('ep',ep) if shifts: u1,u2,u3,ep = read('u1'),read('u2'),read('u3'),read('ep') timer.restart(); print 'shifts...' r = FlattenerRT(6.0,6.0).findShifts([u1,u2,u3,pow(ep,8.0)]) timer.stop(); print 'shifts in %.2fs'%timer.time() r1,r2,r3 = r[0],r[1],r[2] #display(r1,cmap=jet,name='r1') #display(r2,cmap=jet,name='r2') #display(r3,cmap=jet,name='r3') g = FlattenerUtil.applyShiftsR(f,r) write('g',g) write('r1',r1) write('r2',r2) write('r3',r3) g,r1,r2,r3 = read('g'),read('r1'),read('r2'),read('r3') display(f,name='f') display(g,name='g') display(r1,cmap=jet,name='r1') display(r2,cmap=jet,name='r2') display(r3,cmap=jet,name='r3') def like(x): return zerofloat(len(x[0][0]),len(x[0]),len(x)) def makeFake3d(): n1p = int(1.8*n1) g = FakeData.seismic3d2010A(n1p,n2,n3,0.0,0.0,0.0,1.0,0.0) s = like(g) for i3 in range(n3): for i2 in range(n2): r = abs(i3+i2)*0.3 s[i3][i2] = fillfloat(r,n1p) zero = zerofloat(n1p,n2,n3) t = FlattenerUtil.applyShiftsS(g,[s,zero,zero]) f = copy(n1,n2,n3,int(0.5*(n1p-n1)),0,0,t) display(f) write('f',f) ############################################################################# gray = ColorMap.GRAY jet = ColorMap.JET rwb = ColorMap.RED_WHITE_BLUE def plot(x,cmap=gray,cmin=0.0,cmax=0.0,cbar=None,name=None): pan = panel(cbar) pix = pan.addPixels(x) pix.setColorModel(cmap) if cmin<cmax: pix.setClips(cmin,cmax) pix.setInterpolation(PixelsView.Interpolation.LINEAR) frame(pan,name) def panel(cbar=None): p = PlotPanel(PlotPanel.Orientation.X1DOWN_X2RIGHT) cb = p.addColorBar() if cbar: cb.setLabel(cbar) return p def frame(panel,name=None): frame = PlotFrame(panel) frame.setBackground(Color(204,204,204,255)) #frame.setFontSizeForSlide(1.0,1.0) frame.setSize(1200,600) if name: frame.setTitle(name) frame.setVisible(True) if name and pngDir: frame.paintToPng(360,3.0,pngDir+name+'.png') def read(name,image=None): if not image: image = zerofloat(n1,n2,n3) fileName = seisDir+name+'.dat' ais = ArrayInputStream(fileName) ais.readFloats(image) ais.close() return image def write(name,image,directory=seisDir): fileName = directory+name+'.dat' aos = ArrayOutputStream(fileName) aos.writeFloats(image) aos.close() from org.python.util import PythonObjectInputStream def readTensors(name): fis = FileInputStream(seisDir+name+".dat") ois = PythonObjectInputStream(fis) tensors = ois.readObject() fis.close() return tensors def writeTensors(name,tensors): fos = FileOutputStream(seisDir+name+".dat") oos = ObjectOutputStream(fos) oos.writeObject(tensors) fos.close() ############################################################################# # graphics def display(image,tensors=None,cmap=gray,cbar=None, cmin=0,cmax=0,perc=100,name=None): #return world = World() ipg = addImageToWorld(world,image,cmap,cmin,cmax,perc) if tensors: addTensorsToIpg(ipg,tensors) frame = makeFrame(world,name) if cbar: colorbar = addColorBar(frame,cbar) ipg.addColorMapListener(colorbar) def display2(image1,image2,cmap1=gray,cmap2=gray,name=None): world = World() addImageToWorld(world,image1,cmap1) addImageToWorld(world,image2,cmap2) makeFrame(world,name) def addImageToWorld(world,image,cmap=gray,cmin=0,cmax=0,perc=100): ipg = ImagePanelGroup(s1,s2,s3,image) ipg.setColorModel(cmap) ipg.setSlices(k1,k2,k3) if cmin<cmax: ipg.setClips(cmin,cmax) if perc<100: ipg.setPercentiles(100-perc,perc) world.addChild(ipg) return ipg def addTensorsToIpg(ipg,mt): def add(ip,mt,esize=20): #tp = TensorsPanel(s1,s2,s3,mt) tp = TensorsPanel(mt) tp.setEllipsoidSize(esize) ip.getFrame().addChild(tp) return tp add(ipg.getImagePanel(Axis.X),mt) add(ipg.getImagePanel(Axis.Y),mt) add(ipg.getImagePanel(Axis.Z),mt) def addColorBar(frame,label): cbar = ColorBar(label) cbar.setFont(cbar.getFont().deriveFont(24.0)) frame.add(cbar,BorderLayout.EAST) #frame.viewCanvas.setBackground(frame.getBackground()) return cbar def makeFrame(world,name=None): n1,n2,n3 = s1.count,s2.count,s3.count d1,d2,d3 = s1.delta,s2.delta,s3.delta f1,f2,f3 = s1.first,s2.first,s3.first l1,l2,l3 = s1.last,s2.last,s3.last frame = SimpleFrame(world) frame.setBackground(Color(204,204,204,255)) if name: frame.setTitle(name) view = frame.getOrbitView() zscale = 0.75*max(n2*d2,n3*d3)/(n1*d1) view.setAxesScale(1.0,1.0,zscale) view.setScale(1.3) view.setAzimuth(azimuth) view.setElevation(elevation) view.setWorldSphere(BoundingSphere(BoundingBox(f3,f2,f1,l3,l2,l1))) frame.viewCanvas.setBackground(frame.getBackground()) #frame.setSize(1460,980) frame.setSize(1020,750) frame.setVisible(True) return frame def slice12(k3,f): n1,n2,n3 = len(f[0][0]),len(f[0]),len(f) s = zerofloat(n1,n2) SimpleFloat3(f).get12(n1,n2,0,0,k3,s) return s def slice13(k2,f): n1,n2,n3 = len(f[0][0]),len(f[0]),len(f) s = zerofloat(n1,n3) SimpleFloat3(f).get13(n1,n3,0,k2,0,s) return s def slice23(k1,f): n1,n2,n3 = len(f[0][0]),len(f[0]),len(f) s = zerofloat(n2,n3) SimpleFloat3(f).get23(n2,n3,k1,0,0,s) return s def normal(x,y): div(x,max(abs(x)),y) ############################################################################# # Run the function main on the Swing thread import sys,time class RunMain(Runnable): def run(self): start = time.time() main(sys.argv) s = time.time()-start h = int(s/3600); s -= h*3600 m = int(s/60); s -= m*60 print '%02d:%02d:%02d'%(h,m,s) SwingUtilities.invokeLater(RunMain())

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false

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py

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flatr3.py

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0.636364

0.577557

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primeschool-it/Y13

8,203,387,551,570

7b93d2d6ba12d2670fa43c50099993b61f35c3c0

b0a1b2c41556ca4e7368510b40e892e71c703e13

/platfomer/platform.py

2655a63a8ca1ca2a7bb9514e00155ed506d9eece

[]

no_license

https://github.com/primeschool-it/Y13

d2c5bd145f8c05348c0aa870a4685dce7899a9c1

1684e82407deb6a2d47b591259230ee198074787

refs/heads/main

2023-03-29T04:59:13.061432

2021-03-31T15:56:28

303,971,912

1

2

null

import pygame pygame.init() screen = pygame.display.set_mode((1000, 1000)) background = pygame.image.load('img/sky.jpg') background = pygame.transform.scale(background, (1000,1000)) tile_size = 100 maryo_group = pygame.sprite.Group() class Player(pygame.sprite.Sprite): def __init__(self, x, y): super(Player, self).__init__() image = pygame.image.load('img/maryo.png') left_image = pygame.transform.scale(image, (40,70)) right_image = pygame.transform.flip(image,True, False) self.image = image self.right_image = right_image self.rect = image.get_rect() self.rect.x = 100 self.rect.y = 830 self.direction = 'right' self.execution_counter = 0 def update(self): print(self.rect.x, self.rect.y) screen.blit(self.image,(self.rect.x, self.rect.y)) keys = pygame.key.get_pressed() if keys[pygame.K_LEFT]: self.direction = 'left' self.rect.x = self.rect.x - 10 if keys[pygame.K_RIGHT]: self.direction = 'right' self.rect.x = self.rect.x + 10 if self.direction == 'left': screen.blit(self.right_image, (self.rect.x, self.rect.y)) else: screen.blit(self.image, (self.rect.x, self.rect.y)) maryo = Player(100, 830) maryo_group.add(maryo) TILES_DATA = [ [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], ] def draw(): row_counter = 0 for row in TILES_DATA: col_counter = 0 for col in row: if col == 1: tile_img = pygame.image.load('img/tile.png') tile_img = pygame.transform.scale(tile_img, (100, 100)) screen.blit(tile_img, (row_counter * tile_size, col_counter * tile_size)) col_counter += 1 row_counter += 1 run = True while run: for event in pygame.event.get(): if event.type == pygame.QUIT: run = False screen.blit(background, (0, 0)) draw() maryo_group.update() pygame.display.update()

UTF-8

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false

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py

7

platform.py

7

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0.46633

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83

27.626506

89

Mehedi-Bin-Hafiz/Status-check-of-student-by-Machine-Learning

12,000,138,665,267

a9d7f92ea351d68443487cdffa022c62eb4935c3

ac3b4b27c026621283a7b087a795b86ff1e6902c

/ResearchGenerator/FinalStatusQuestion.py

0af7fd895f0ba7582d2a1f4dabb947a780c9c888

[]

no_license

https://github.com/Mehedi-Bin-Hafiz/Status-check-of-student-by-Machine-Learning

7d29469152ef1ead3682bb050972b8baba24040c

8949fe36ff9484417ab86115c432b3f87fe745e8

refs/heads/master

2023-08-18T01:57:10.771713

2021-09-26T01:53:38

239,188,240

0

null

# for i in range(1,11): #for create file # f1=open('..\statusmean\FinalQuestions\{0}.txt'.format(i),'w') # f1.close() class FinalStatus(): def __init__(self, value): self.ID = value def Status(self): problemlist=[] TopicName=0 q1=0 q2=0 q3=0 q4=0 q5=0 q6=0 q7=0 q8=0 q9=0 q10=0 position=0 print("Topic:Input output.") f1=open('..\statusmean\FinalQuestions\q1.txt','r',encoding="utf8") print(f1.read()) f1.close() ans1=input("Enter your ans:") if(ans1=="\\"): print('Right, You have got 1 marks') q1=1 else: TopicName=1 print('Wrong, Correct Answer is: \\ \n') print("\nTopic: Simple calculation \n") print("Question 2: ") f2 = open('..\statusmean\FinalQuestions\q2.txt', 'r', encoding="utf8") print(f2.read()) f2.close() ans1 = input("Enter your ans:") if (ans1 == '207'): print('Right, You have got 2 marks') q2 = 2 else: print('Wrong, Correct Answer is: 207\n') problemlist.append("simple calculation") print("\nTopic: String: \n") print('Question 3: ') f3 = open('..\statusmean\FinalQuestions\q3.txt', 'r', encoding="utf8") print(f3.read()) f3.close() print('A. printf("%ld",V )') print('B. printf("%c",V)') print('C. printf("%s",V)') print('D. printf("%f",V)') ans1 = input("Enter your ans:") ans1 = ans1.lower() if (ans1 == 'c'): print('Right, You have got 3 marks') q3 = 3 else: problemlist.append('String') print('Wrong, Correct Answer is: Option C\n') print("\nTopic: Input Output\n") print("Question 4: ") f4 = open('..\statusmean\FinalQuestions\q4.txt', 'r', encoding="utf8") print(f4.read()) f4.close() print('A. printf("\\n");') print('B. echo "\\\\n";') print("C. printf('\\n');") print('D. printf("\\\\n");') ans1 = input("Enter your ans:") ans1 = ans1.lower() if (ans1 == 'd'): print('Right, You have got 4 marks') q4 = 4 else: TopicName=1 print('Wrong, Correct Answer is: Option D\n') if (TopicName==1): problemlist.append("Input output") print( "\nTopic: Expression\n") print("Question 5: ") f5 = open('..\statusmean\FinalQuestions\q5.txt', 'r', encoding="utf8") print(f5.read()) f5.close() print("A. 2*xx+3*xy") print("B. 2x^2+3*x*y") print("C. 2*x*x+3*x*y") print("D. 2*x*2+3*x*y") ans1=input("Enter your ans:") ans1=ans1.lower() if(ans1=='c'): print('Right, You have got 5 marks') q5=5 else: problemlist.append("Expression") print('Wrong, Correct Answer is: Option C\n') print("Question 6:\n") f6 = open('..\statusmean\FinalQuestions\q6.txt', 'r', encoding="utf8") print(f6.read()) f6.close() ans1=input("Enter your ans:") ans1=ans1.lower() if(ans1=='0'): print('Right, You have got 6 marks') q6=6 else: TopicName=2 print('Wrong Correct Answer is: 0\n') print( "\nTopic: Conditional statement\n") print('Question 7: ') f7 = open('..\statusmean\FinalQuestions\q7.txt', 'r', encoding="utf8") print(f7.read()) f7.close() ans1=input("Enter your ans:") ans1=ans1.lower() if(ans1=='output is: '): print('Right, You have got 7 marks') q7=7 else: print('Wrong Correct Answer is: output is: \n') if (TopicName == 2): problemlist.append("Conditional statement") print( "\nTopic: Control Instructions\n") print("Question 8: ") f8 = open('..\statusmean\FinalQuestions\q8.txt', 'r', encoding="utf8") print(f8.read()) f1.close() ans1=input("Enter your ans:") ans1=ans1.lower() if(ans1=='output is: 21'): print('Right, You have got 8 Marks') q8=8 else: problemlist.append("Arithmetic operation") print('Wrong Correct Answer is: Output is: 21 \n') print( "\nTopic: loop\n") print("Question 9: " ) f9 = open('..\statusmean\FinalQuestions\q9.txt', 'r', encoding="utf8") print(f9.read()) f9.close() print('A. 1, 11\n 1, 12\n 2, 13') print('B. 0, 11\n 1, 12\n 2, 13') print("C. 0, 10\n 1, 11\n 2, 13") print('D. 1, 11\n 1, 12\n 2, 13') ans1=input("Enter your ans:") ans1=ans1.lower() if(ans1=='b'): print('Right, You have got 9 marks') q9=9 else: problemlist.append("loop") print('Wrong, Correct Answer is: Option B\n') print("\nTopic: Problem solving\n") print(" Question 10: ") f10 = open('..\statusmean\FinalQuestions\q10.txt', 'r', encoding="utf8") print(f10.read()) f10.close() print("A. (25/100)*320") print("B. (100/25)*320") print("C. (100/325)*25") print("D. 25/(100*320)") ans1 = input("Enter your ans:") ans1 = ans1.lower() if (ans1 == 'a'): print('Right, You have got 10 point') q10 = 10 else: problemlist.append("Problem solving") print('Wrong, Correct Answer is: Option A\n') status = FinalStatus(111) status.Status()

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olenasmokvyna/mason-cli

970,662,652,957

4b8dc4e0608af5f2d711ee362e4ef6566a85e91a

e38b7d9088344e4c7a2185a125ea03543f91fd82

/tests/internal/models/test_apk.py

6d46ca61959c0f4f65af86db98d6133717e10c32

[ "Apache-2.0" ]

permissive

https://github.com/olenasmokvyna/mason-cli

ca5fbe963bb49272dae7c8ac0fd2f5c374081a24

ac9ac5041b12090b94958ec41d2b5a294c4b61e6

refs/heads/master

2023-07-19T11:26:45.748448

2021-09-09T17:31:01

2021-09-09T17:31:05

null

0

null

import os import unittest import click from mock import MagicMock from cli.internal.models.apk import Apk from tests import __tests_root__ class ApkTest(unittest.TestCase): def setUp(self): config = MagicMock() test_package_name = 'com.this.is.a.test' test_package_version = '11' test_package_version_code = 16 apkf = MagicMock() apkf.package = MagicMock(return_value=test_package_name) apkf.get_androidversion_name = MagicMock(return_value=test_package_version) apkf.get_androidversion_code = MagicMock(return_value=test_package_version_code) apkf.is_valid_APK = MagicMock(return_value=True) apkf.get_min_sdk_version = MagicMock(return_value=23) self.test_apk = Apk(config, MagicMock(), apkf) def test_apk_is_valid(self): self.assertIsNone(self.test_apk.validate()) def test_apk_content_type(self): self.assertEqual( self.test_apk.get_content_type(), 'application/vnd.android.package-archive') def test_apk_type(self): self.assertEqual(self.test_apk.get_type(), 'apk') def test_apk_pretty_type(self): self.assertEqual(self.test_apk.get_pretty_type(), 'App') def test_apk_sub_type(self): self.assertIsNone(self.test_apk.get_sub_type()) def test_apk_name(self): self.assertEqual(self.test_apk.get_name(), self.test_apk.apk.get_package()) def test_apk_version(self): self.assertEqual(self.test_apk.get_version(), self.test_apk.apk.get_androidversion_code()) def test_apk_meta_data(self): meta_data = { 'apk': { 'versionName': self.test_apk.apk.get_androidversion_name(), 'versionCode': self.test_apk.apk.get_androidversion_code(), 'packageName': self.test_apk.apk.get_package() }, } self.assertEqual(self.test_apk.get_registry_meta_data(), meta_data) def test_apk_v1_signed(self): mock_config = MagicMock() apk = Apk.parse(mock_config, os.path.join(__tests_root__, 'res', 'v1.apk')) self.assertIsNotNone(apk) def test_apk_v2_signed(self): mock_config = MagicMock() apk = Apk.parse(mock_config, os.path.join(__tests_root__, 'res', 'v2.apk')) self.assertIsNotNone(apk) def test_apk_v1_and_v2_signed(self): mock_config = MagicMock() apk = Apk.parse(mock_config, os.path.join(__tests_root__, 'res', 'v1and2.apk')) self.assertIsNotNone(apk) def test_apk_unsigned(self): mock_config = MagicMock() with self.assertRaises(click.Abort): Apk.parse(mock_config, os.path.join(__tests_root__, 'res', 'unsigned.apk')) def test_apk_debug_signed(self): mock_config = MagicMock() with self.assertRaises(click.Abort): Apk.parse(mock_config, os.path.join(__tests_root__, 'res', 'debug.apk'))

UTF-8

Python

false

2,933

py

61

test_apk.py

49

0.628367

0.623594

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mayziyuhuang/COF_Amgen

481,036,346,619

82897e855d83865726387bbf6141e2a83c9e8445

74efc71fabcd9194c7f937dfd73e2bba13f2484f

/load_glass_glass.py

afe740104f38dcb4611a37b3a80a7e23bef1722c

[]

no_license

https://github.com/mayziyuhuang/COF_Amgen

506570aa56c5d9cf928f28a972fbbe814ea9adcd

5ee121ceb3e0de009c5f17de3da07e5ce627d3a4

refs/heads/master

2021-04-27T09:58:51.410200

2018-02-23T01:44:00

122,527,501

0

null

import numpy as np import scipy.special import matplotlib matplotlib.use import matplotlib.pyplot as plt plt.style.use('seaborn-talk') import pandas as pd import friction_functions as data load_gram_1 = 657.8 load_gram_2 = 657.4 load_gram_3 = 204.2 load_gram_4 = 657.2 #1.1um PAC on glass vs glass, load = 657.8 glass1um1 = 'data/20171003_PAC1.1umglass_1_vs_glass_657.8g_load_1.xlsx' glass1um1df = data.friction_data(glass1um1, load_gram_1) glass1um2 = 'data/20171003_PAC1.1umglass_2_vs_glass_657.8g_load_1.xlsx' glass1um2df = data.friction_data(glass1um2, load_gram_1) glass1um3 = 'data/20171003_PAC1.1umglass_3_vs_glass_657.8g_load_1.xlsx' glass1um3df = data.friction_data(glass1um3, load_gram_1) glass1um4 = 'data/20171003_PAC1.1umglass_4_vs_glass_657.8g_load_1.xlsx' glass1um4df = data.friction_data(glass1um4, load_gram_1) glass1um5 = 'data/20171003_PAC1.1umglass_5_vs_glass_657.8g_load_1.xlsx' glass1um5df = data.friction_data(glass1um5, load_gram_1) #3.3um PAC on glass vs glass, load = 657.8 glass3um1 = 'data/20171003_PAC3.3umglass_1_vs_glass_657.8g_load_1.xlsx' glass3um1df = data.friction_data(glass3um1, load_gram_1) glass3um2 = 'data/20171003_PAC3.3umglass_2_vs_glass_657.8g_load_1.xlsx' glass3um2df = data.friction_data(glass3um2, load_gram_1) glass3um3 = 'data/20171003_PAC3.3umglass_3_vs_glass_657.8g_load_1.xlsx' glass3um3df = data.friction_data(glass3um3, load_gram_1) glass3um4 = 'data/20171003_PAC3.3umglass_4_vs_glass_657.8g_load_1.xlsx' glass3um4df = data.friction_data(glass3um4, load_gram_1) glass3um5 = 'data/20171003_PAC3.3umglass_5_vs_glass_657.8g_load_1.xlsx' glass3um5df = data.friction_data(glass3um5, load_gram_1) #0.1 um PAC on glass vs glass, load = 657.4 glass0_1um1 = 'data/20171006_PAC0.1umglass_1_vs_glass_657.4g_load_1.xlsx' glass0_1um1df = data.friction_data(glass0_1um1, load_gram_2) glass0_1um2 = 'data/20171006_PAC0.1umglass_2_vs_glass_657.4g_load_1.xlsx' glass0_1um2df = data.friction_data(glass0_1um2, load_gram_2) glass0_1um3 = 'data/20171006_PAC0.1umglass_3_vs_glass_657.4g_load_1.xlsx' glass0_1um3df = data.friction_data(glass0_1um3, load_gram_2) glass0_1um4 = 'data/20171006_PAC0.1umglass_4_vs_glass_657.4g_load_1.xlsx' glass0_1um4df = data.friction_data(glass0_1um4, load_gram_2) glass0_1um5 = 'data/20171006_PAC0.1umglass_5_vs_glass_657.4g_load_1.xlsx' glass0_1um5df = data.friction_data(glass0_1um5, load_gram_2) #5.6 um PAHT on glass vs glass, load = 657.4 glass5_6umHT1 = 'data/20171006_HT5.6um_glass_1_vs_glass_657.4g_load_1.xlsx' glass5_6umHT1df = data.friction_data(glass5_6umHT1, load_gram_2) glass5_6umHT2 = 'data/20171006_HT5.6um_glass_2_vs_glass_657.4g_load_1.xlsx' glass5_6umHT2df = data.friction_data(glass5_6umHT2, load_gram_2) glass5_6umHT3 = 'data/20171006_HT5.6um_glass_3_vs_glass_657.4g_load_1.xlsx' glass5_6umHT3df = data.friction_data(glass5_6umHT3, load_gram_2) glass5_6umHT4 = 'data/20171006_HT5.6um_glass_4_vs_glass_657.4g_load_1.xlsx' glass5_6umHT4df = data.friction_data(glass5_6umHT4, load_gram_2) glass5_6umHT5 = 'data/20171006_HT5.6um_glass_5_vs_glass_657.4g_load_1.xlsx' glass5_6umHT5df = data.friction_data(glass5_6umHT5, load_gram_2) #bare glass (0um) vs glass, load = 657.4 glass0um1 = 'data/20171006_bare_glass_1_vs_glass_657.4g_load_1.xlsx' glass0um1df = data.friction_data(glass0um1, load_gram_2) glass0um2 = 'data/20171006_bare_glass_2_vs_glass_657.4g_load_1.xlsx' glass0um2df = data.friction_data(glass0um2, load_gram_2) glass0um3 = 'data/20171006_bare_glass_3_vs_glass_657.4g_load_1.xlsx' glass0um3df = data.friction_data(glass0um3, load_gram_2) glass0um4 = 'data/20171006_bare_glass_4_vs_glass_657.4g_load_1.xlsx' glass0um4df = data.friction_data(glass0um4, load_gram_2) glass0um5 = 'data/20171006_bare_glass_5_vs_glass_657.4g_load_1.xlsx' glass0um5df = data.friction_data(glass0um5, load_gram_2) #5.9 um PAC on glass vs glass, load = 657.2 glass5_9um1 = 'data/20171009_PAC_5.9umglass_1_vs_glass_657.2g_load_1.xlsx' glass5_9um1df = data.friction_data(glass5_9um1, load_gram_4) glass5_9um2 = 'data/20171009_PAC_5.9umglass_2_vs_glass_657.2g_load_1.xlsx' glass5_9um2df = data.friction_data(glass5_9um2, load_gram_4) glass5_9um3 = 'data/20171009_PAC_5.9umglass_3_vs_glass_657.2g_load_1.xlsx' glass5_9um3df = data.friction_data(glass5_9um3, load_gram_4) glass5_9um4 = 'data/20171009_PAC_5.9umglass_4_vs_glass_657.2g_load_1.xlsx' glass5_9um4df = data.friction_data(glass5_9um4, load_gram_4) glass5_9um5 = 'data/20171009_PAC_5.9umglass_5_vs_glass_657.2g_load_1.xlsx' glass5_9um5df = data.friction_data(glass5_9um5, load_gram_4) # # plt.plot(glass0um1df['travel'], glass0um1df['load'], marker='.', linestyle='-', label = 'glass (0 um PA-C) vs glass', color = '#1f77b4ff') # plt.plot(glass0um2df['travel'], glass0um2df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#1f77b4ff') # plt.plot(glass0um3df['travel'], glass0um3df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#1f77b4ff') # plt.plot(glass0um4df['travel'], glass0um4df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#1f77b4ff') # plt.plot(glass0um5df['travel'], glass0um5df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#1f77b4ff') # plt.plot(glass0_1um1df['travel'], glass0_1um1df['load'], marker='.', linestyle='-', label = '0.1 um PA-C on glass vs glass', color = '#ff7f0eff') # plt.plot(glass0_1um2df['travel'], glass0_1um2df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#ff7f0eff') # plt.plot(glass0_1um3df['travel'], glass0_1um3df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#ff7f0eff') # plt.plot(glass0_1um4df['travel'], glass0_1um4df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#ff7f0eff') # plt.plot(glass0_1um5df['travel'], glass0_1um5df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#ff7f0eff') # # plt.plot(glass1um1df['travel'], glass1um1df['load'], marker='.', linestyle='-', label = '1.1 um PA-C on glass vs glass', color = '#2ca02cff') # plt.plot(glass1um2df['travel'], glass1um2df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#2ca02cff') # plt.plot(glass1um3df['travel'], glass1um3df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#2ca02cff') # plt.plot(glass1um4df['travel'], glass1um4df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#2ca02cff') # plt.plot(glass1um5df['travel'], glass1um5df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#2ca02cff') # # plt.plot(glass3um1df['travel'], glass3um1df['load'], marker='.', linestyle='-', label = '3.3 um PA-C on glass vs glass', color = '#d62728ff') # plt.plot(glass3um2df['travel'], glass3um2df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#d62728ff') # plt.plot(glass3um3df['travel'], glass3um3df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#d62728ff') # plt.plot(glass3um4df['travel'], glass3um4df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#d62728ff') # plt.plot(glass3um5df['travel'], glass3um5df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#d62728ff') # # # plt.plot(glass5_9um1df['travel'], glass5_9um1df['load'], marker='.', linestyle='-', label = '5.9 um PA-C on glass vs glass', color = '#9467bdff') # plt.plot(glass5_9um2df['travel'], glass5_9um2df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#9467bdff') # plt.plot(glass5_9um3df['travel'], glass5_9um3df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#9467bdff') # plt.plot(glass5_9um4df['travel'], glass5_9um4df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#9467bdff') # plt.plot(glass5_9um5df['travel'], glass5_9um5df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#9467bdff') plt.plot(glass5_6umHT1df['travel'], glass5_6umHT1df['load'], marker='.', linestyle='-', label = '5.6 um PA-HT on glass vs glass', color = '#8c564bff') plt.plot(glass5_6umHT2df['travel'], glass5_6umHT2df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#8c564bff') plt.plot(glass5_6umHT3df['travel'], glass5_6umHT3df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#8c564bff') plt.plot(glass5_6umHT4df['travel'], glass5_6umHT4df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#8c564bff') plt.plot(glass5_6umHT5df['travel'], glass5_6umHT5df['load'], marker='.', linestyle='-', label = '_nolegend_', color = '#8c564bff') plt.ylim(-0.1, 1.5) plt.xlim(-2, 110) plt.margins(0.2) plt.xlabel('Travel Distance (mm)', fontsize=20)# plt.ylabel('Frictional Force (N)', fontsize=20) plt.legend(loc = 'upper right' ,prop={'size':10}) plt.tick_params(axis='both', which='major', labelsize=16)# #plt.title('load vs distance', fontsize=24)# plt.show()

UTF-8

Python

false

8,785

py

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load_glass_glass.py

10

0.703358

0.581446

0

138

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mchoccac/commcare-hq

850,403,570,438

065030fefa3001e4d7dcd16ffe5e446adf579f36

04658b3e2a605a123c3c70727b2a94facc0714b3

/custom/zipline/tasks.py

652502972c11559bbd99a6f9c6be1fcd0efcbaff

[]

permissive

https://github.com/mchoccac/commcare-hq

ca35d00068eefdf4415e26886a8ad880cb8d78d0

88d5f5845f06f70f378f5d6090580c2e15b27460

refs/heads/master

2021-01-20T09:00:57.269410

2017-05-03T22:05:41

90,211,626

0

BSD-3-Clause

true

2021-11-19T10:36:34

2017-05-04T02:11:02

2021-11-16T18:11:31

2021-11-19T10:36:30

615,456

0

12

Python

false

import json import requests from celery.task import task from custom.zipline.api import get_order_update_critical_section_key from custom.zipline.models import EmergencyOrder, EmergencyOrderStatusUpdate from django.conf import settings from dimagi.utils.couch import CriticalSection from dimagi.utils.logging import notify_exception from dimagi.utils.parsing import json_format_datetime from requests.auth import HTTPBasicAuth ZIPLINE_STATUS_RECEIVED = 'received' ZIPLINE_STATUS_REJECTED = 'rejected' ZIPLINE_STATUS_ERROR = 'error' # The timeout (in seconds) to use when making requests to Zipline REQUEST_TIMEOUT = 120 # See send_emergency_order_request() RETRY_INTERVAL = 5 MAX_ATTEMPTS = 3 @task(ignore_result=True) def send_emergency_order_request(order_id, attempt=1): try: with CriticalSection( [get_order_update_critical_section_key(order_id)], timeout=(REQUEST_TIMEOUT + 10) ): order = EmergencyOrder.objects.get(pk=order_id) order.status = _send_emergency_order_request(order, attempt) order.save() except Exception as e: notify_exception( None, message='[ZIPLINE] Error while sending order', details={ 'order_id': order_id, 'attempt': attempt, } ) create_error_record(order, 'Internal error: {}'.format(str(e))) handle_emergency_order_request_retry(order, attempt) def _send_emergency_order_request(order, attempt): """ Sends the emergency order request to Zipline. :param order: the EmergencyOrder that should be sent :param attempt: the current attempt number; in the event of errors, a total of MAX_ATTEMPTS will be made, separated by a wait time of RETRY_INTERVAL minutes :return: the new status to be set on the order """ order.zipline_request_attempts += 1 json_payload = get_json_payload_from_order(order) json_payload = json.dumps(json_payload) response = requests.post( settings.ZIPLINE_API_URL, auth=HTTPBasicAuth(settings.ZIPLINE_API_USER, settings.ZIPLINE_API_PASSWORD), data=json_payload, headers={'Content-Type': 'application/json'}, timeout=REQUEST_TIMEOUT ) if response.status_code != 200: handle_emergency_order_request_retry(order, attempt) create_error_record(order, 'Received HTTP Response {} from Zipline'.format(response.status_code)) return EmergencyOrderStatusUpdate.STATUS_ERROR response_text = response.text try: response_json = json.loads(response_text) except (TypeError, ValueError): notify_exception( None, message='[ZIPLINE] Invalid JSON response received', details={ 'order_id': order.pk, 'attempt': attempt, } ) create_error_record(order, 'Could not parse JSON response from Zipline: {}'.format(response_text)) handle_emergency_order_request_retry(order, attempt) return EmergencyOrderStatusUpdate.STATUS_ERROR status = response_json.get('status') if status == ZIPLINE_STATUS_RECEIVED: handle_request_received(order) return EmergencyOrderStatusUpdate.STATUS_RECEIVED elif status == ZIPLINE_STATUS_REJECTED: reason = response_json.get('reason') handle_request_rejected(order, reason) return EmergencyOrderStatusUpdate.STATUS_REJECTED elif status == ZIPLINE_STATUS_ERROR: description = response_json.get('description') create_error_record(order, 'Error received from Zipline: {}'.format(description)) return EmergencyOrderStatusUpdate.STATUS_ERROR else: create_error_record(order, 'Unrecognized status received from Zipline: {}'.format(status)) handle_emergency_order_request_retry(order, attempt) return EmergencyOrderStatusUpdate.STATUS_ERROR def get_json_payload_from_order(order): """ Takes an EmergencyOrder and returns a dictionary representing the JSON payload that should be sent to represent it. :param order: the EmergencyOrder object :return: dict """ return { 'transactionType': 'emergencyOrder', 'timestamp': json_format_datetime(order.timestamp), 'orderId': order.pk, 'locationCode': order.location_code, 'products': [ {'productCode': code, 'quantityOrdered': info.get('quantity')} for code, info in order.products_requested.iteritems() ], } def handle_request_received(order): """ Handles a received response from Zipline. :param order: the EmergencyOrder for the request """ order.received_status = EmergencyOrderStatusUpdate.create_for_order( order.pk, EmergencyOrderStatusUpdate.STATUS_RECEIVED ) def handle_request_rejected(order, reason): """ Handles a rejected response from Zipline. :param order: the EmergencyOrder for the request """ order.rejected_status = EmergencyOrderStatusUpdate.create_for_order( order.pk, EmergencyOrderStatusUpdate.STATUS_REJECTED, additional_text=reason ) def create_error_record(order, error_message): EmergencyOrderStatusUpdate.create_for_order( order.pk, EmergencyOrderStatusUpdate.STATUS_ERROR, additional_text=error_message ) def handle_emergency_order_request_retry(order, current_attempt): """ Handles retrying an emergency order. :param order: the EmergencyOrder to retry :param current_attempt: the current attempt number """ if current_attempt < MAX_ATTEMPTS: send_emergency_order_request.apply_async( args=[order.pk], kwargs={'attempt': (current_attempt + 1)}, countdown=(60 * RETRY_INTERVAL) )

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false

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py

2,110

tasks.py

1,408

0.672789

0.670238

0

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kevin-chau/cs61a

12,773,232,747,390

6c5b0ad7f1efefefa6ef44a8d070f5d15d837cfc

955252646b7c5d5b0f8e03eab0026eec02d09355

/Midterm2/prime_generator.py

b53bbcad7dd197d6079638bfc4b40442ee47b63b

[]

no_license

https://github.com/kevin-chau/cs61a

53ae0a11b37116d33a99a9d3abb19ad145db7bf6

0f2c841a0eef56845254948a85fa55aa7469bf38

refs/heads/master

2021-05-31T08:28:07.764846

2016-03-16T07:26:29

null

0

null

def make_prime_generator(): prime = 1 def prime_generator(): nonlocal prime prime += 1 def is_prime(n): for i in range(2,n): if n % i == 0: return False return True if prime == 2: return 2 while not is_prime(prime): prime += 1 return prime return prime_generator

UTF-8

Python

false

300

py

65

prime_generator.py

60

0.616667

0.593333

0

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cktang88/aoc2020

19,370,302,527,687

655630fb721b5461d7a5489cc288b98b986e36e1

e7ad8f66053860cfe35fe5c2414d5aef4e75be4a

/17.py

643df7e84edf189a6f3460184511f24ae8fab243

[]

no_license

https://github.com/cktang88/aoc2020

896ebc43e7bccbd8c9b68b39e291e1afe9b5a689

58c380e29285803bef4e1c5aad8dfa9774ac6990

refs/heads/main

2023-02-01T12:06:35.630569

2020-12-18T00:27:58

317,740,058

0

null

import re import pprint from copy import deepcopy inp = open('17a.txt','r') arr = [a.strip() for a in inp] md = 7 # shift w = len(arr[0]) + md*2 h = len(arr) + md*2 l = 1 + md*2 pprint.pprint(arr) print(w,h) def mprint(mat2d): pprint.pprint([''.join(a) for a in mat2d]) mat = [[['.' for k in range(h)] for j in range(w)] for i in range(l)] for i, row in enumerate(arr): for j, c in enumerate(row): if c == '#': mat[md][md+i][md+j] = '#' # for m in mat: mprint(mat[md]) x1,x2 = md, len(arr[0]) + md y1,y2 = md, len(arr) + md def numNeighbor(_i,_j,_k): ans = 0 for i in range(-1,1): for j in range(-1,1): for k in range(-1,1): if i==j==k==0: continue if mat[_i+i][_j+j][_k+k] == '#': ans += 1 return ans for c in range(1,2): newmat = deepcopy(mat) for i in range(md-c,md+c+1): for j in range(x1-c,x2+c+1): for k in range(y1-c,y2+c+1): n = numNeighbor(i,j,k) isActive = mat[i][j][k] == '#' print(i,j,k, n, isActive) if n ==3 or n==2 and isActive: newmat[i][j][k] = '#' else: newmat[i][j][k] = '.' mat = deepcopy(newmat) mprint(mat[md])

UTF-8

Python

false

1,182

py

24

17.py

21

0.51692

0.48731

0

53

21.301887

69

linxucc/tutu

13,864,154,438,100

dff8f2aeb3250b093727990a95479b65b351278a

17768634cd100c294c57769fafaedfeafd5b6406

/promotions/migrations/0005_auto_20180904_1920.py

8f11a275f17578deafd79b03d0712c30cf186d89

[]

no_license

https://github.com/linxucc/tutu

52f9f37544723a55c81b377e906afdb904efe6fd

9f79043a91390cabaf99cdc80cd914a12c9ca2f8

refs/heads/master

2020-03-22T04:00:31.473980

2018-09-27T05:31:12

139,463,321

0

null

# Generated by Django 2.0.7 on 2018-09-04 11:20 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('trips', '0018_auto_20180904_1920'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('orders', '0010_auto_20180904_1920'), ('promotions', '0004_auto_20180830_0038'), ] operations = [ migrations.CreateModel( name='Coupon', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('payment_YN', models.BooleanField(default=False, verbose_name='是否已支付（暂时保留）')), ('create_date_time', models.DateTimeField(auto_now_add=True, verbose_name='创建时间')), ('last_modify_date_time', models.DateTimeField(auto_now=True, verbose_name='上次修改时间')), ], ), migrations.CreateModel( name='CouponTemplate', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=100, verbose_name='优惠券名称')), ('description', models.CharField(max_length=100, verbose_name='优惠券描述')), ('valid_from_date', models.DateTimeField(verbose_name='生效日期与时间')), ('valid_to_date', models.DateTimeField(verbose_name='失效日期与时间')), ('valid_flag', models.BooleanField(verbose_name='是否有效超级开关')), ('issued_count', models.IntegerField(default=0, verbose_name='已发放数量')), ('redeemed_count', models.IntegerField(default=0, verbose_name='已使用数量')), ('coupon_type', models.CharField(choices=[('DISCOUNT', '折扣'), ('CASH', '直减')], max_length=15, verbose_name='优惠减免类型')), ('cash_value', models.IntegerField(blank=True, null=True, verbose_name='直减金额')), ('discount_value', models.DecimalField(blank=True, decimal_places=2, max_digits=2, null=True, verbose_name='折扣比例（小数）')), ('create_date_time', models.DateTimeField(auto_now_add=True, verbose_name='创建时间')), ('last_modify_date_time', models.DateTimeField(auto_now=True, verbose_name='上次修改时间')), ('related_trip', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.SET_NULL, to='trips.Trip', verbose_name='关联活动')), ('related_user', models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='关联用户')), ], options={ 'verbose_name': '优惠券', 'verbose_name_plural': '优惠券s', }, ), migrations.AddField( model_name='coupon', name='coupon_template_reference', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='promotions.CouponTemplate', verbose_name='关联优惠券模板对象'), ), migrations.AddField( model_name='coupon', name='order_reference', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='orders.Order', verbose_name='关联优惠码对象'), ), migrations.AddField( model_name='coupon', name='user_reference', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='关联用户对象'), ), ]

UTF-8

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false

3,927

py

101

0005_auto_20180904_1920.py

55

0.606276

0.585812

0

66

54.530303

185

AyakaKusakari/tic-tac-toe

10,222,022,173,498

ee5df82e7ec4e038fdee28aa31eafaef9cd54060

edd5795d2aad0da51d0a34de4aefc6a3ccf0d9b9

/tictactoe.py

4bed38fb2d8eb4cb5e6df66ec61a35e14df42f81

[]

no_license

https://github.com/AyakaKusakari/tic-tac-toe

e1b902217d45800822a6e22babda8764298c3097

e22ef4f7fcf5bce4897eb81ec954cd0d079a9b27

refs/heads/master

2021-05-17T04:34:53.201550

2020-03-30T20:25:02

250,626,397

0

null

""" 1.最初のプレイヤーが記号を書き込む 2.その時点で記号が3つ並んでいるかを確認 3.次のプレイヤーが記号を書き込む 3以降は2〜3をくり返す """ start = """ _/_/_/_/_/_/_/_/_/_/_/_/_/ Tic Tac Toe _/_/_/_/_/_/_/_/_/_/_/_/_/ 【遊び方】 1～9で座標を選んでください。 ※0を入力すると、ゲームが終了します。 """ table = """ 1|2|3 ----- 4|5|6 ----- 7|8|9 """ win = """ """ print(start) print(table) # 1～9までのリスト candidates = [i for i in range(1, 10)] # 先行 first_list = [] # 後攻 second_list = [] # カウント用 n = 1 # coordinate = 今まで書き込んだ座標リスト # coordinateの中身のリストをset関数でソートさせ、もう１つのsetとの共通部分をリスト化させ、比較する def judgment(coordinate): # 横のパターン if [1, 2, 3] == list(set([1, 2, 3]) & set(coordinate)): return True elif [4, 5, 6] == list(set([4, 5, 6]) & set(coordinate)): return True elif [7, 8, 9] == list(set([7, 8, 9]) & set(coordinate)): return True # 縦のパターン elif [1, 4, 7] == list(set([1, 4, 7]) & set(coordinate)): return True elif [2, 5, 8] == list(set([2, 5, 8]) & set(coordinate)): return True elif [3, 6, 9] == list(set([3, 6, 9]) & set(coordinate)): return True # 斜めのパターン elif [1, 5, 9] == list(set([1, 5, 9]) & set(coordinate)): return True elif [3, 5, 7] == list(set([3, 5, 7]) & set(coordinate)): return True else: return False while True: # 奇数回の時 if n % 2 == 1: print(f" ---{n}手目---\n") first = input("○の座標を入力してください：") # 整数に変換 first = int(first) if first in candidates: # 入力した数字を○に置換 table = table.replace(str(first), "o") # 元の座標リストから、入力した数字を削除 candidates.remove(first) # リストに入力した座標を追加 first_list.append(first) print(table) n += 1 if judgment(first_list): print(" ---------------\n| ○の勝ち!! |\n ---------------") break elif first == 0: print("\n -------------------------\n| ゲームを終了します。 |\n -------------------------") break else: print("\n※正しい座標を入力してください\n") continue # 9回で勝敗がつかなかったらあいこ elif n == 10: print(" -------------------\n| あいこでした。 |\n -------------------") break # 偶数回の時 else: print(f" ---{n}手目---\n") second = input("×の座標を入力してください：") # 整数に変換 second = int(second) if second in candidates: # 入力した数字を×に置換 table = table.replace(str(second), "x") # 元の座標リストから、入力した数字を削除 candidates.remove(second) # リストに入力した座標を追加 second_list.append(second) print(table) n += 1 if judgment(second_list): print(" ---------------\n| ×の勝ち!! |\n ---------------") break elif second == 0: print("\n -------------------------\n| ゲームを終了します。 |\n -------------------------") break else: print("\n※正しい座標を入力してください\n") continue

UTF-8

Python

false

3,842

py

2

tictactoe.py

1

0.431856

0.404598

0

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azhaganavr/Bluetooth_scan_store_send_receive

14,216,341,794,909

8a1b8cc354c87786ea5a1f1dd13d2d42cc80317a

1869d0ac4441b93faec2077e971ea9283fa3c43f

/bt_terminal_v1.py

f4697b7f66b674009dce498201f31782e8af3d5f

[]

no_license

https://github.com/azhaganavr/Bluetooth_scan_store_send_receive

89906bbe665fcd5cc4acf116869b4e071bc04bc3

b5af07ea1dd58d0977dc56756f01a09a80301288

refs/heads/master

2020-09-20T17:41:35.158438

2019-12-15T15:57:37

224,550,363

0

null

import socket import subprocess import os import time import csv import itertools import datetime # Importing all necessary libraries time.sleep(10) # To give a waiting period for the 3G modem to connect scan_var = 0 j = 0 row_count = 0 RSSI = 00 # Not used just for testing purpose port = 21 bt_var = 0 scan_data_len = 0 scan_data_array = [] # Necessary variables are initialized device_name = 'raspi_A' # Each device is given a unique name to identify itself hci_dump = subprocess.Popen(["hcidump -a hci"], bufsize=0, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) # Scanning data is taken from the hcidump while True: filename = 'bt_send_' + str(time.strftime('%d-%m-%Y')) + '.csv' # This command is used instead. print("Scanning for Bluetooth data.....") loop_time = time.time() + 60 # Scanning variable is intialized to current time value plus 300 Seconds try: while time.time() < loop_time: # A loop is started for scanning the data for the given duration flag = 0 for i in range(0, 30, 1): inchar = hci_dump.stdout.readline() # We store the dump value in inchar char = str(inchar) # Convert it to string a, b, c = char.partition( 'bdaddr') # We store the 'baddr', the string before and after 'badddr' string in b,a,c if ( c): # c is the string that contains the MAC address , Mode variable followed by mode value, class variable followed by classs value, clock offset variable followed by clock offset and rssi variable followed by rssi value in an array classification = [] device_class = [] device_class += c.split()[6] # the 6th element of array C consists of bluetooth class value case_array = {'0': 'Uncategorized', '1': 'Computer', '2': 'Phone', '3': 'LAN', '4': 'Audio/Video', '5': 'Peripheral', '6': 'Imaging', '7': 'Wearable', '8': 'Toys'} device_type = case_array.get(device_class[5], 'default') # the 5th charecter decides the type of device concat = str(device_class[6]) + str( device_class[7]) # the 6th and 7th charecter gives a more detailed classification. if device_class[5] == '0': misc_array = {'00': 'Bluetooth Device'} classification = misc_array.get(concat, 'default') elif device_class[5] == '1': computer_array = {'00': 'unasssigned', '04': 'Desktop Workstation', '08': 'Server class', '0c': 'Laptop', '10': 'Handheld PCA', '14': 'Palm Sized PDA', '18': 'Wearable'} classification = computer_array.get(concat, 'default') elif device_class[5] == '2': phone_array = {'00': 'unasssigned', '04': 'Cellular', '08': 'Cordless', '0c': 'Smart', '10': 'Wired Modem or Access Gateway', '14': 'Common ISDN Access'} classification = phone_array.get(concat, 'default') elif device_class[5] == '4': audio_video_array = {'00': 'unasssigned', '04': 'Wearable Headset', '08': 'Hands-Free', '10': 'Microphone', '14': 'Loudspeaker', '18': 'Headphones', '1c': 'Portable ', '20': 'Car Audio', '24': 'Set-Top Box', '28': 'HiFi', '2c': 'Laptop', '30': 'Video Tape Recorder', '34': 'Video Camera', '38': 'Camcorder', '3c': 'Video Display and Loudspeaker', '40': 'Video Conferencing', '44': 'Reserved', '48': 'Game/Toy'} classification = audio_video_array.get(concat, 'default') elif device_class[5] == '5': peripheral_array = {'00': 'unasssigned', '04': 'Joystick', '08': 'Gamepad', '0c': 'Remote control', '10': 'Sensing device', '14': 'Digitiser Tablet', '18': 'Card Reader'} classification = peripheral_array.get(concat, 'default') elif device_class[5] == '6': imaging_array = {'00': 'unasssigned', '10': 'Display', '20': 'Camera', '40': 'Scanner', '80': 'Printer'} classification = imaging_array.get(concat, 'default') elif device_class[5] == '7': wearable_array = {'00': 'unasssigned', '04': 'Wrist Watch', '08': 'Pager', '0c': 'Jacket', '10': 'Helmet', '14': 'Glasses'} classification = wearable_array.get(concat, 'default') elif device_class[5] == '8': toys_array = {'00': 'unasssigned', '04': 'Robot', '08': 'Vehicle', '0c': 'Character', '10': 'Controller', '14': 'Game'} classification = toys_array.get(concat, 'default') device = (str(classification) + ' ' + str( device_type)) # concatenate the final accurate classification rssi = [] rssi += c.split()[8] # C array has rssi value in the 8th cell concat_rssi = (str(rssi[0]) + str(rssi[1]) + str( rssi[2])) # the three charecters constitute the rssi value print(device_name + ',' + str(time.strftime('%d-%m-%Y %H:%M:%S')) + ',' + ( c.split()[0]) + ',' + device + ',' + concat_rssi) data_string = device_name + ',' + str(time.strftime('%d-%m-%Y %H:%M:%S')) + ',' + ( c.split()[0]) + ',' + device + ',' + concat_rssi scan_data_array.append(data_string) # print(scan_data_array[scan_var]) scan_var = scan_var + 1 # Just a flag variable used to know whether ther was any scanned value classification = "" # print(len(scan_data_array)) #Actual length of the array data_array = list(set(scan_data_array)) # we remove the duplicate data from the array scan_data_len = len(data_array) # print(scan_data_len) # reduced Lenth of the array if (scan_data_len): csv_file_obj = open(filename, 'a') # Create an object for open csv file print("opening csv file to write data") for i in range(scan_data_len): bt_var = 1 csv_file_obj.write(data_array[i] + "\n") # writing the values to the CSV file one after the other, j = 1 # flag to know if any data is written to the file csv_file_obj.flush() csv_file_obj.close() # Closing the file if j: print('Data Written to the file') j = 0 scan_data_array = [] scan_var = 0 except Exception as e: # Incase of any error , it is stored in the syslog file filename_log = 'Syslog.csv' field_log = ['Error', 'Date & Time'] csv_syslog_obj = open(filename_log, 'a') print("opening csv file to write exception 1") log_writer = csv.DictWriter(csv_syslog_obj, fieldnames=field_log) log_writer.writerow( {'Error': str(e), 'Date & Time': str(time.strftime('%d-%m-%Y %H:%M:%S'))}) csv_syslog_obj.close() print("Error: " + str(e)) try: server_connectivity = 0 # A flag variable used to know whether the device has been connected to the server or not if (bt_var == 1): # As mentioned above the following block is executed only if any values were scanned and until the values are sent try: # Checking for internet connectivity host = socket.gethostbyname("www.google.com") s = socket.create_connection((host, 80), 2) s.close() print('internet on.') connectivity = 1 except: print("internet off.") connectivity = 0 os.system("sudo /etc/init.d/reconnectnet start") if (connectivity == 1): # only if internet connectivity exists the following connection establishment and data transmission block is executed s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # Creating a socket object print('Trying to connect.....') s.connect(("192.168.0.9", port)) # For RapsberryPi to connect to server # s.connect(("10.21.56.201", port)) # For Institute PC to connect to server server_connectivity = 1 # flag used to define if connectivity has been established print(s.recv(1024).decode()) # Connection establishment acknowledgement is printed from the server from itertools import islice # importing islice from itertools with open(filename, "r") as f: send_data = csv.reader(f, delimiter=",") list_data = list(send_data) row_count = len(list_data) print(row_count) with open(filename, "r") as myfile: redc_data = list(islice(myfile, row_count)) # it takes the no. of rows and stores in the array # myfile.close() if (row_count % 2 == 0): # If the no. of data is even for even in range(0, row_count - 1, 2): data = redc_data[0 + even] + redc_data[1 + even] s.send(data.encode()) else: # if no. of data is odd s.send(redc_data[0].encode()) # we first send one value seperately for odd in range(1, row_count - 1, 2): # then we send two values together data = redc_data[0 + odd] + redc_data[1 + odd] s.send(data.encode()) endofdata = "END\n" # End of data transmission variable s.send(endofdata.encode()) # eod variable is transmitted time.sleep(1) ack = s.recv(2048).decode() # Once all data is sent the an acknowledgement is received if ack: # Only if acknowledgement is received we remove the csv file and change the bt_var flag variable # print(''.join(redc_data)) print('Data Sent Succssfully') os.remove(filename) bt_var = 0 data = "" s.close() # Close the socket except Exception as g: # any error in the block above is stored in syslog filename_log = 'Syslog.csv' field_log = ['Error', 'Date & Time'] csv_syslog_obj = open(filename_log, 'a') print("opening csv file to write exception 2") log_writer = csv.DictWriter(csv_syslog_obj, fieldnames=field_log) log_writer.writerow( {'Error': str(g), 'Date & Time': str(time.strftime('%d-%m-%Y %H:%M:%S'))}) csv_syslog_obj.close() print("Error: " + str(g)) if (server_connectivity == 1): # only if connectivity was established we close the socket s.close()

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