xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

2c2296a7af80752c885721e618ab896d2c0978d7

2,110

py

Python

tests/test_heartbeat.py

maxerbubba/stepfunctions_activity_worker

846e9a2351f96b20855588845fba8be9a1a72a7b

[ "MIT" ]

6

2018-11-29T18:37:35.000Z

2021-06-07T14:14:16.000Z

tests/test_heartbeat.py

maxerbubba/stepfunctions_activity_worker

846e9a2351f96b20855588845fba8be9a1a72a7b

[ "MIT" ]

6

2018-11-30T16:14:32.000Z

2019-10-16T15:41:16.000Z

tests/test_heartbeat.py

maxerbubba/stepfunctions_activity_worker

846e9a2351f96b20855588845fba8be9a1a72a7b

[ "MIT" ]

1

2019-10-11T05:00:08.000Z

"""Tests for stepfunctions_activity_worker.heartbeat. Since Heartbeat inherits from threading.Timer we're testing against the functionality that we override/extending to it. """ from unittest import mock import pytest from stepfunctions_activity_worker.heartbeat import Heartbeat @pytest.fixture def heartbeat_args(...

27.051282

71

0.7109

255

2,110

5.694118

0.278431

0.125344

0.044077

0.071625

0.466942

0.402204

0.358127

0.297521

0.227273

0

0.002849

0.168246

2,110

77

72

27.402597

0.824501

0.203318

0

0.390244

0

0.021898

0

0.097561

1

0.146341

false

0.02439

0.073171

0

0.243902

0

null

0

null

0

1

0

2c2794286b828cae460d295bd29cdfc5c27b425e

632

py

Python

python/reverseString.py

l0latgithub/codediary

a0327d2ee1137a542886d0af85129692711cd68a

[ "MIT" ]

null

python/reverseString.py

l0latgithub/codediary

a0327d2ee1137a542886d0af85129692711cd68a

[ "MIT" ]

null

python/reverseString.py

l0latgithub/codediary

a0327d2ee1137a542886d0af85129692711cd68a

[ "MIT" ]

null

class Solution: def reverseString(self, s: List[str]) -> None: """ Do not return anything, modify s in-place instead. Write a function that reverses a string. The input string is given as an array of characters char[]. Do not allocate extra space for another array,...

33.263158

80

0.571203

92

632

3.923913

0.630435

0.024931

0.027701

0

0.012107

0.346519

632

19

81

33.263158

0.861985

0.561709

0

1

0.142857

false

0

0.285714

0

null

0

null

0

1

0

2c280a854d5dd0052e5104746e9e594265513c8d

1,251

py

Python

otptags.py

azukacchi/scriptsdump

c54d1dcf42ac0e5242786fa4364c7532ed7b5446

[ "MIT" ]

2

2021-09-10T03:21:33.000Z

2021-11-14T20:02:53.000Z

otptags.py

azukacchi/scriptsdump

c54d1dcf42ac0e5242786fa4364c7532ed7b5446

[ "MIT" ]

null

otptags.py

azukacchi/scriptsdump

c54d1dcf42ac0e5242786fa4364c7532ed7b5446

[ "MIT" ]

null

import re from bs4 import BeautifulSoup import os.path from datetime import date import requests import csv import time delay = 6 BASE_DIR = os.path.dirname(os.path.abspath(__file__)) filename = 'ao3tags.csv' filepath = os.path.join(BASE_DIR, filename) def tagcount(): urls = [] # list of link to your otp tag...

26.617021

72

0.605116

158

1,251

4.677215

0.56962

0.032476

0

0.00974

0.261391

1,251

46

73

27.195652

0.790043

0.1247

0

0.089908

0

1

0.030303

false

0

0.212121

0

0.242424

0

null

0

null

0

1

0

2c293d8c5436830faf8721c88cbacb4b46a95b30

412

py

Python

INF1511/Chapter3/matrix1.py

GalliWare/UNISA-studies

32bab94930b176c4dfe943439781ef102896fab5

[ "Unlicense" ]

null

INF1511/Chapter3/matrix1.py

GalliWare/UNISA-studies

32bab94930b176c4dfe943439781ef102896fab5

[ "Unlicense" ]

null

INF1511/Chapter3/matrix1.py

GalliWare/UNISA-studies

32bab94930b176c4dfe943439781ef102896fab5

[ "Unlicense" ]

null

table = [[0 for i in range(3)] for j in range(3)] print("Enter values for a matrix of order 3 x 3") for d1 in range(3): for d2 in range(3): table[d1][d2] = int(input()) print("Elements of the matrix are %a" % table) print("Elements of the matrix are ") for row in table: print(row) s = 0 for row in table...

27.466667

56

0.618932

82

412

3.109756

0.353659

0.109804

0.12549

0.086275

0.211765

0

0.039088

0.254854

412

14

57

29.428571

0.791531

0

0.142857

0

0.337379

0

1

0

false

0

0.357143

0

null

0

null

0

1

0

2c2944dad267b75f5e9b14f426638486e1db3d9f

2,880

py

Python

djangosige/apps/base/views_mixins.py

CTECHSUL/SG

0d4822b3826e015ad24690815bb9c52952431ea7

[ "MIT" ]

330

2017-07-03T08:41:24.000Z

2022-03-31T04:34:17.000Z

djangosige/apps/base/views_mixins.py

CTECHSUL/SG

0d4822b3826e015ad24690815bb9c52952431ea7

[ "MIT" ]

107

2017-07-03T22:21:35.000Z

2022-03-30T08:10:24.000Z

djangosige/apps/base/views_mixins.py

matfurrier/SIGEsistema

6b0072741809c5e5077d201862ea76d839161735

[ "MIT" ]

258

2017-06-27T20:11:46.000Z

2022-03-20T21:46:34.000Z

from __future__ import unicode_literals from django.contrib import messages from django.contrib.auth.decorators import login_required from django.utils.decorators import method_decorator from django.shortcuts import redirect class SuperUserRequiredMixin(object): @method_decorator(login_required(login_url='login...

38.918919

109

0.657292

313

2,880

5.86262

0.329073

0.058856

0.059946

0.040872

0.276839

0.245232

0.222888

0.182561

0

0.253125

2,880

73

110

39.452055

0.853092

0.009028

0

0.310345

0

0.117461

0

1

0.12069

false

0

0.086207

0.034483

0.465517

0

null

0

null

0

1

0

2c2a8fd306dc8e296f6feb602bca22708c15866f

1,601

py

Python

source/CheckJobStatusFunction/app.py

kwwaikar/aws-data-exchange-publisher-coordinator-1

8bfec78ff64432d2b2804050116994d76928cb81

[ "MIT" ]

null

source/CheckJobStatusFunction/app.py

kwwaikar/aws-data-exchange-publisher-coordinator-1

8bfec78ff64432d2b2804050116994d76928cb81

[ "MIT" ]

null

source/CheckJobStatusFunction/app.py

kwwaikar/aws-data-exchange-publisher-coordinator-1

8bfec78ff64432d2b2804050116994d76928cb81

[ "MIT" ]

null

import boto3 import os import logging from datetime import datetime def lambda_handler(event, context): """This function checks and returns the import assets job status""" try: global log_level log_level = str(os.environ.get('LOG_LEVEL')).upper() valid_log_levels = ['DEBUG...

28.589286

77

0.562773

171

1,601

5.081871

0.438596

0.055236

0.034522

0.06214

0.193326

0

0.004562

0.315428

1,601

55

78

29.109091

0.788321

0.038101

0

0.238095

0

0.188641

0

1

0.02381

false

0

0.095238

0

0.142857

0

null

0

null

0

1

0

2c2b3898833c53843db57d3da758950386a9aad9

7,592

py

Python

languages/python/cp857_5x7.py

ercanersoy/font-library

7d71b41bddea9d87c230afbaec1a92412ebd7ad9

[ "CC0-1.0" ]

1

2019-03-30T13:34:24.000Z

languages/python/cp857_5x7.py

ercanersoy/font-library

7d71b41bddea9d87c230afbaec1a92412ebd7ad9

[ "CC0-1.0" ]

null

languages/python/cp857_5x7.py

ercanersoy/font-library

7d71b41bddea9d87c230afbaec1a92412ebd7ad9

[ "CC0-1.0" ]

null

# cp857_5x7.py - CP857 5x7 font file for Python # # Copyright (c) 2019-2022 Ercan Ersoy # This file is written by Ercan Ersoy. # This file is licensed under CC0-1.0 Universal License. cp857_5x7 = [ 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x5F, 0x00, 0x00, 0x00, 0x03, 0x00, 0x03, 0x00, 0x14, 0x7F, 0x14, 0...

32.583691

56

0.609326

1,154

7,592

4.006932

0.107452

0.179931

0.116782

0.076125

0.126298

0.055363

0.033737

0.021626

0

0.557272

0.241043

7,592

232

57

32.724138

0.245227

0.022787

0

0.066372

0

0.604344

0

1

0

false

0

null

0

1

0

1

0

null

0

1

0

3

2c2d0f019ed042f9d5ffe83c988029566ce8aae5

282

py

Python

fjord/redirector/providers/dummy.py

lgp171188/fjord

1cb4aa3c3e0932c586cdd2c4ee3b6b9974a6976a

[ "BSD-3-Clause" ]

16

2015-02-06T14:35:57.000Z

2021-07-10T11:14:00.000Z

fjord/redirector/providers/dummy.py

lgp171188/fjord

1cb4aa3c3e0932c586cdd2c4ee3b6b9974a6976a

[ "BSD-3-Clause" ]

310

2015-01-07T14:39:35.000Z

2016-05-02T17:41:30.000Z

fjord/redirector/providers/dummy.py

lgp171188/fjord

1cb4aa3c3e0932c586cdd2c4ee3b6b9974a6976a

[ "BSD-3-Clause" ]

22

2015-01-15T13:46:03.000Z

2020-07-24T10:08:51.000Z

from fjord.redirector import Redirector class DummyRedirector(Redirector): def handle_redirect(self, request, redirect): if redirect.startswith('dummy:'): redirect = redirect.split(':') return 'http://example.com/' + redirect[1] return

28.2

54

0.648936

28

282

6.5

0.714286

0

0.00463

0.234043

282

9

55

31.333333

0.837963

0

0.092199

0

1

0.142857

false

0

0.142857

0

0.714286

0

1

0

null

0

1

0

null

0

2

2c2ec23931c6b9f6cf2d97ddfef973d0d7caa687

12,363

py

Python

app/models.py

eellkk/flask_learn

18810a09a7384af15d3767b56274c990fe1c154b

[ "MIT" ]

null

app/models.py

eellkk/flask_learn

18810a09a7384af15d3767b56274c990fe1c154b

[ "MIT" ]

null

app/models.py

eellkk/flask_learn

18810a09a7384af15d3767b56274c990fe1c154b

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Aug 20 11:26:41 2016 @author: Administrator """ #从__init__.py中导入db，db = SQLAlchemt() from . import db,login_manager #导入Werkzeug中的security模块支持密码散列 from werkzeug.security import generate_password_hash,check_password_hash from flask.ext.login import UserMixin,Anonymo...

37.01497

164

0.604708

1,488

12,363

4.869624

0.183468

0.034226

0.042782

0.025807

0.427822

0.356611

0.301132

0.223296

0.19183

0.170301

0

0.00834

0.272588

12,363

334

165

37.01497

0.797398

0.017552

0

0.270588

0

0.079864

0.00602

0

0.002374

0

1

0.129412

false

0.039216

0.062745

0.043137

0.498039

0

null

0

null

0

1

0

2c3065c1d277ab3a50d50ca18e17bde26be17ca4

2,657

py

Python

main.py

firestalk/vk_delpost

79ae0ad94e65a81da2a103370dccd7765cff3db5

[ "MIT" ]

null

main.py

firestalk/vk_delpost

79ae0ad94e65a81da2a103370dccd7765cff3db5

[ "MIT" ]

null

main.py

firestalk/vk_delpost

79ae0ad94e65a81da2a103370dccd7765cff3db5

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- from splinter import Browser from time import sleep import re import json import sys class VkDelPost: def __init__(self): self.account = self.load_cfg() def main(self): email = self.account['email'] passw = self.account['passw'] w...

34.506494

129

0.519759

321

2,657

4.155763

0.386293

0.053973

0.056222

0.146927

0.110945

0

0.008676

0.349266

2,657

76

130

34.960526

0.762869

0.016184

0

0.106061

0

0.030303

0.192956

0.078101

0

1

0.075758

false

0.030303

0.075758

0

0.242424

0.136364

0

null

0

null

0

1

0

2c324eb057bd0ddba6a6403d5a9df98e2318b393

948

py

Python

pandagg/node/query/joining.py

leonardbinet/pandagg

5a5619e2190503da841e32782a4e55b35727d656

[ "MIT" ]

null

pandagg/node/query/joining.py

leonardbinet/pandagg

5a5619e2190503da841e32782a4e55b35727d656

[ "MIT" ]

null

pandagg/node/query/joining.py

leonardbinet/pandagg

5a5619e2190503da841e32782a4e55b35727d656

[ "MIT" ]

null

from pandagg.node.query.compound import CompoundClause from pandagg.node.query._parameter_clause import Path, QueryP class Nested(CompoundClause): DEFAULT_OPERATOR = QueryP PARAMS_WHITELIST = ["path", "query", "score_mode", "ignore_unmapped"] KEY = "nested" def __init__(self, *args, **kwargs): ...

24.947368

76

0.64557

102

948

5.72549

0.460784

0.107877

0.148973

0.179795

0.363014

0.273973

0.188356

0

0.232068

948

37

77

25.621622

0.802198

0

0.107143

0

0.17616

0

1

0.035714

false

0

0.071429

0

0.607143

0

null

0

1

0

null

0

1

0

2

257385445594750f579250d74f0144116e915ee8

19,130

py

Python

ptest/usb_session.py

athena255/FlightSoftware

c3fd7dcc6c265fad9843f8992b60d5a773c99f23

[ "MIT" ]

null

ptest/usb_session.py

athena255/FlightSoftware

c3fd7dcc6c265fad9843f8992b60d5a773c99f23

[ "MIT" ]

1

2020-09-20T20:11:06.000Z

ptest/usb_session.py

athena255/FlightSoftware

c3fd7dcc6c265fad9843f8992b60d5a773c99f23

[ "MIT" ]

null

import time import datetime import serial import threading import json import traceback import queue import os import pty import subprocess from multiprocessing import Process import glob from elasticsearch import Elasticsearch from .data_consumers import Datastore, Logger from .http_cmd import create_usb_session_endp...

38.961303

163

0.595086

2,372

19,130

4.668212

0.185919

0.016256

0.013908

0.012011

0.256931

0.209428

0.17195

0.123544

0.111623

0

0.003206

0.315107

19,130

490

164

39.040816

0.841933

0.246262

0

0.243986

0

0.119573

0.004605

0

0.006873

1

0.061856

false

0

0.051546

0

0.223368

0.044674

0

null

0

null

0

1

0

25750c8794444def7be2e0ed0c2beae4eab5e2f1

1,233

py

Python

Python Programs/matrix-add-top-row.py

muhammad-masood-ur-rehman/Skillrack

71a25417c89d0efab40ee6229ccd758b26ae4312

[ "CC0-1.0" ]

2

2021-06-26T21:50:59.000Z

2021-09-18T04:55:51.000Z

Python Programs/matrix-add-top-row.py

muhammad-masood-ur-rehman/Skillrack

71a25417c89d0efab40ee6229ccd758b26ae4312

[ "CC0-1.0" ]

null

Python Programs/matrix-add-top-row.py

muhammad-masood-ur-rehman/Skillrack

71a25417c89d0efab40ee6229ccd758b26ae4312

[ "CC0-1.0" ]

null

Matrix Add Top Row Matrix Add Top Row: A matrix of size R*C is given as the input to the program. The program must add the elements in the first row in each column to the elements in the below rows by equally dividing them. Then the program must print the modified matrix as the output. Note: If the integer cannot be e...

25.6875

267

0.657745

255

1,233

3.184314

0.403922

0.034483

0.022167

0.04064

0.029557

0

0.12743

0.248986

1,233

47

268

26.234043

0.74838

0

0.170213

0

0.001623

0

null

0

null

0.085106

0

null

0

null

0

1

0

1

25760e26ccc984f053e0ae3f5160d2bb9ebef9f4

11,044

py

Python

test/composed_visitor_test.py

FreeYourSoul/FreExGraph

375ff2111c68442d35cb88a2e98f16279c705bd6

[ "MIT" ]

3

2021-04-16T20:44:13.000Z

2022-02-11T00:57:40.000Z

test/composed_visitor_test.py

FreeYourSoul/FreExGraph

375ff2111c68442d35cb88a2e98f16279c705bd6

[ "MIT" ]

null

test/composed_visitor_test.py

FreeYourSoul/FreExGraph

375ff2111c68442d35cb88a2e98f16279c705bd6

[ "MIT" ]

1

2021-03-25T19:49:27.000Z

# MIT License # # Copyright (c) 2021 Quentin Balland # Project : https://github.com/FreeYourSoul/FreExGraph # # 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 wi...

42.806202

87

0.741579

1,612

11,044

4.643921

0.10732

0.135186

0.060112

0.027785

0.747262

0.735773

0.687684

0.685947

0.683275

0

0.004909

0.169957

11,044

257

88

42.972763

0.811716

0.107298

0

0.561856

0

0.006507

0

0.07732

1

0.046392

false

0

0.015464

0

0.097938

0

null

0

1

0

1

0

null

0

2

257840704f660f29957142fc99721907a1db3293

29,073

py

Python

test/test_nfvbench.py

hashnfv/hashnfv-nfvbench

8da439b932537748d379c7bd3bdf560ef739b203

[ "Apache-2.0" ]

null

test/test_nfvbench.py

hashnfv/hashnfv-nfvbench

8da439b932537748d379c7bd3bdf560ef739b203

[ "Apache-2.0" ]

null

test/test_nfvbench.py

hashnfv/hashnfv-nfvbench

8da439b932537748d379c7bd3bdf560ef739b203

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2016 Cisco Systems, 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....

34.98556

98

0.52836

3,137

29,073

4.668154

0.167357

0.011609

0.030729

0.028681

0.509151

0.468929

0.42584

0.372166

0.357484

0.340686

0

0.084915

0.316651

29,073

830

99

35.027711

0.652187

0.072782

0

0.2

0

0.131651

0.002731

0

0.254902

1

0.094118

false

0.003922

0.07451

0.035294

0.219608

0

null

0

null

0

1

0

2578bd207d261948c34574e9d8df87d9062a4d4d

264

py

Python

{{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/api/index/__init__.py

xiaopeng163/lazyflask

98ae0c218c90739358c1ec90ae2daa3660d10e1b

[ "Apache-2.0" ]

null

{{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/api/index/__init__.py

xiaopeng163/lazyflask

98ae0c218c90739358c1ec90ae2daa3660d10e1b

[ "Apache-2.0" ]

null

{{cookiecutter.repo_name}}/{{cookiecutter.module_name}}/api/index/__init__.py

xiaopeng163/lazyflask

98ae0c218c90739358c1ec90ae2daa3660d10e1b

[ "Apache-2.0" ]

1

2018-11-05T05:56:29.000Z

# Copyright 2015-2018 Cisco Systems, Inc. # All rights reserved. from cxcom.rest.blue_print import blue_print from {{cookiecutter.module_name}}.api.index.index import Index BLUE_PRINT_PUBLIC = blue_print('engine_status', 'templates', [ [Index, '/', "/"] ])

24

62

0.731061

35

264

5.314286

0.685714

0.193548

0

0.034783

0.128788

264

10

63

26.4

0.773913

0.227273

0

0.119403

0

null

0

0.4

null

0.4

0

null

0

null

0

1

0

1

0

2

257a8f3de4b6bc7e806d488851674359ff3825e1

5,141

py

Python

tests/costnonlinear.py

rafaelrojasmiliani/gsplines

663b10f6d53b498a1e892d9eb32a345153de36d2

[ "MIT" ]

3

2021-08-28T01:42:40.000Z

2021-12-02T22:39:45.000Z

tests/costnonlinear.py

rafaelrojasmiliani/gsplines

663b10f6d53b498a1e892d9eb32a345153de36d2

[ "MIT" ]

null

tests/costnonlinear.py

rafaelrojasmiliani/gsplines

663b10f6d53b498a1e892d9eb32a345153de36d2

[ "MIT" ]

null

""" Test the cost function from the problem 1010 """ import numpy as np import sympy as sp import quadpy import unittest from opttrj.costnonlinear import cCostNonLinear from itertools import tee class cMyCost(cCostNonLinear): def runningCost(self, _t, _tauv, _u): pass def runningCostGradient(sel...

30.60119

78

0.471309

666

5,141

3.474474

0.202703

0.041487

0.025929

0.474935

0.434313

0.346586

0.337943

0.273552

0.267502

0

0.046482

0.380665

5,141

167

79

30.784431

0.680276

0.008559

0

0.341085

0

0.129204

0

0.054264

1

0.093023

false

0.015504

0.062016

0.015504

0.193798

0

null

0

null

0

1

0

257a9b3e29b5b9199eb2a23693635e96b83f0500

737

py

Python

src/server/BroadcastThread.py

spectacularGavin/rasp-sec-camera

3730b7a93e9fd30bfffe9529ed990528a32c5a5c

[ "MIT" ]

null

src/server/BroadcastThread.py

spectacularGavin/rasp-sec-camera

3730b7a93e9fd30bfffe9529ed990528a32c5a5c

[ "MIT" ]

null

src/server/BroadcastThread.py

spectacularGavin/rasp-sec-camera

3730b7a93e9fd30bfffe9529ed990528a32c5a5c

[ "MIT" ]

null

from threading import Thread from subprocess import Popen, PIPE from wsgiref.simple_server import WSGIServer class BroadcastThread(Thread): def __init__(self, converter: Popen, websocket_server: WSGIServer): super(BroadcastThread, self).__init__() self.converter = converter self.websocket_s...

35.095238

77

0.625509

76

737

5.894737

0.539474

0.145089

0.075893

0

0.011605

0.298507

737

21

78

35.095238

0.854932

0

0.02439

0

1

0.105263

false

0

0.157895

0

0.315789

0.052632

0

null

0

null

0

1

0

257bddd8105c20a3bf215b1b22c1c4992b667b8c

5,630

py

Python

manga_py/providers/mangadex_org_v2.py

Abijithkrishna/manga-py

03b142ecb944ef37a36e5095ffa580209021e3b0

[ "MIT" ]

337

2019-08-27T16:14:50.000Z

2022-03-29T09:58:22.000Z

manga_py/providers/mangadex_org_v2.py

Abijithkrishna/manga-py

03b142ecb944ef37a36e5095ffa580209021e3b0

[ "MIT" ]

225

2019-08-25T15:02:01.000Z

2022-03-31T06:36:09.000Z

manga_py/providers/mangadex_org_v2.py

Abijithkrishna/manga-py

03b142ecb944ef37a36e5095ffa580209021e3b0

[ "MIT" ]

41

2019-10-04T13:28:02.000Z

2022-03-19T08:18:34.000Z

import re from manga_py.provider import Provider from .helpers.std import Std from html import escape class MangaDexOrg(Provider, Std): __content = None __chapters = None __languages = None __countries = { '': 'Other', 'bd': 'Bengali', 'bg': 'Bulgarian', 'br': 'Portugue...

30.934066

111

0.539076

596

5,630

4.921141

0.338926

0.033754

0.019093

0.011592

0.042278

0.023866

0

0.001774

0.298934

5,630

181

112

31.104972

0.741323

0.01048

0

0.026667

0

0.172773

0.013111

0

1

0.126667

false

0

0.026667

0.046667

0.333333

0

null

0

null

0

1

0

257bfa0c3f881287a5a522f4b4310e46894a8022

1,494

py

Python

setup.py

VerseGroup/vg-em

3c9a93aa9c3c3cba2bace9259bab8b2668b54069

[ "MIT" ]

2

2022-01-13T18:33:25.000Z

2022-01-13T18:34:56.000Z

setup.py

VerseGroup/EM-python

3c9a93aa9c3c3cba2bace9259bab8b2668b54069

[ "MIT" ]

null

setup.py

VerseGroup/EM-python

3c9a93aa9c3c3cba2bace9259bab8b2668b54069

[ "MIT" ]

null

import pathlib from setuptools import setup, find_packages HERE = pathlib.Path(__file__).parent README = (HERE / "README.md").read_text() VERSION = "1.3.0" DESCRIPTION="VerseGroups encryption manager class (RSA and Fernet wrapped AES sessions through RSA) for secure transmission of data. Also includes utilities such ...

38.307692

203

0.663989

161

1,494

6.062112

0.608696

0.076844

0.102459

0.106557

0

0.012521

0.198126

1,494

39

204

38.307692

0.80217

0

0.027778

0.520401

0.020736

0

1

0

false

0

0.055556

0

0.055556

0

null

0

null

0

1

0

257cd5d4b4e8ff0ea36956f5af38747aff84e4d6

24,314

py

Python

passl/modeling/backbones/discrete_vae.py

lmk123568/PASSL

a4974a665b164b71831b38b5bd8b849615a17f12

[ "Apache-2.0" ]

null

passl/modeling/backbones/discrete_vae.py

lmk123568/PASSL

a4974a665b164b71831b38b5bd8b849615a17f12

[ "Apache-2.0" ]

null

passl/modeling/backbones/discrete_vae.py

lmk123568/PASSL

a4974a665b164b71831b38b5bd8b849615a17f12

[ "Apache-2.0" ]

null

# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve. # # 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 applic...

33.816412

135

0.521181

3,084

24,314

3.852464

0.11284

0.027944

0.013467

0.02424

0.596583

0.55593

0.515866

0.492719

0.47698

0.461325

0

0.028343

0.35716

24,314

718

136

33.86351

0.731798

0.168874

0

0.661224

0

0.053723

0

0.004082

1

0.087755

false

0.008163

0.020408

0.028571

0.195918

0

null

0

null

0

1

0

257d2b7a3c0cb97294399826eb46725bc5e9506f

33,921

py

Python

Index.py

Trabalho-APC-DASH/Painel-APC

1920c7e1a188ba350268f926c0bf69552f0ab4a2

[ "MIT" ]

null

Index.py

Trabalho-APC-DASH/Painel-APC

1920c7e1a188ba350268f926c0bf69552f0ab4a2

[ "MIT" ]

null

Index.py

Trabalho-APC-DASH/Painel-APC

1920c7e1a188ba350268f926c0bf69552f0ab4a2

[ "MIT" ]

null

# VERSÃO FINAL - ÚNICA - V1.0 # ALTERADA EM 03/04 -- 18:30 # EXPORTAÇÕES: import plotly.express as px from pandas import read_excel from dash import Dash, dcc, html, Input, Output, State import plotly.graph_objects as go # IMPORTAÇÃO DE BOOTSTRAP PARA FAZER SITE: import dash_bootstrap_components as dbc # DECLARAÇÃ...

35.743941

745

0.538811

3,799

33,921

4.764675

0.224796

0.015911

0.023203

0.007182

0.417712

0.371416

0.3544

0.33407

0.298823

0.283355

0

0.027973

0.286519

33,921

949

746

35.743941

0.719899

0.236609

0

0.372792

0

0.012367

0.298456

0.00245

0

0.001054

0

1

0.022968

false

0

0.021201

0

0.081272

0

null

0

null

0

1

0

257e05fcff394b8322ba4dd1554e86692b4c8292

3,918

py

Python

editline/tests/test_editline.py

mark-nicholson/python-editline

c23f1071c4b832a92f66e2f49142e5c5f00e500d

[ "BSD-3-Clause" ]

4

2017-10-05T19:34:32.000Z

2021-05-18T23:29:44.000Z

editline/tests/test_editline.py

mark-nicholson/python-editline

c23f1071c4b832a92f66e2f49142e5c5f00e500d

[ "BSD-3-Clause" ]

2

2018-03-30T22:38:17.000Z

2018-03-30T22:39:13.000Z

editline/tests/test_editline.py

mark-nicholson/python-editline

c23f1071c4b832a92f66e2f49142e5c5f00e500d

[ "BSD-3-Clause" ]

null

""" Unit testing for parts of the editline and _editline modules. """ import os import sys import unittest import subprocess from test.support import import_module # too bad this thing moved ... try: if sys.version_info[0] >= 3 and sys.version_info[1] >= 5: from test.support.script_helper import assert_pyt...

36.962264

86

0.671006

499

3,918

5.01002

0.248497

0.096

0.112

0.0768

0.6724

0.6404

0.6388

0

0.018218

0.229454

3,918

105

87

37.314286

0.809871

0.14829

0

0.48

0

0.114838

0

0.36

1

0.16

false

0

0.333333

0.013333

0.533333

0

null

0

1

0

null

0

1

0

1

0

3

257e22ee1110fa746c97def96ea06dd14c1ece1b

13,035

py

Python

py2many/inference.py

nsauzede/py2many

7a4c8d0bd200c287281fc397bedafd755a44fa64

[ "MIT" ]

2

2021-05-13T11:44:33.000Z

2021-05-14T00:37:26.000Z

py2many/inference.py

nsauzede/py2many

7a4c8d0bd200c287281fc397bedafd755a44fa64

[ "MIT" ]

null

py2many/inference.py

nsauzede/py2many

7a4c8d0bd200c287281fc397bedafd755a44fa64

[ "MIT" ]

null

import ast from ctypes import c_int8, c_int16, c_int32, c_int64 from ctypes import c_uint8, c_uint16, c_uint32, c_uint64 from dataclasses import dataclass from typing import Optional from py2many.analysis import get_id from py2many.clike import CLikeTranspiler from py2many.tracer import is_enum @dataclass class Inf...

33.595361

88

0.582739

1,597

13,035

4.555416

0.123982

0.061581

0.040412

0.037113

0.401924

0.312165

0.267491

0.240962

0.170447

0.109553

0

0.008808

0.329344

13,035

387

89

33.682171

0.823381

0.034906

0

0.282132

0

0.042931

0.002549

0

0.002584

0

1

0.07837

false

0

0.025078

0.003135

0.250784

0

null

0

null

0

1

0

257e4eb0dea44309c2b7cddb8176aa3e129b02d2

7,258

py

Python

evaluate.py

LijieFan/PKU-MMD

cfa6aad468ce6675c6027de1173e366603705d63

[ "Apache-2.0" ]

49

2017-05-30T15:28:36.000Z

2022-03-16T06:33:52.000Z

evaluate.py

LijieFan/PKU-MMD

cfa6aad468ce6675c6027de1173e366603705d63

[ "Apache-2.0" ]

7

2018-12-07T15:05:50.000Z

2021-11-04T08:21:00.000Z

evaluate.py

ECHO960/PKU-MMD

cfa6aad468ce6675c6027de1173e366603705d63

[ "Apache-2.0" ]

9

2018-03-03T17:24:16.000Z

2021-01-15T07:02:07.000Z

# Copyright (c) 2017 Chunhui_Liu@STRUCT_ICST_PKU, All rights reserved. # # evaluation protocols used for PKU-MMD dataset # http://www.icst.pku.edu.cn/struct/Projects/PKUMMD.html # # In proposal folder: # each file contains results for one video. # several lines in one file, # each line contain: label, start_fra...

37.606218

83

0.666161

1,116

7,258

4.182796

0.157706

0.017138

0.025707

0.043702

0.456084

0.376392

0.314053

0.289417

0.280634

0

0.011982

0.172086

7,258

192

84

37.802083

0.764853

0.293883

0

0.264463

0

0.069072

0.037098

0

null

0

0.024793

null

0.07438

0

null

0

null

0

1

0

1

257ed12cd5a7b5088a1d81e7a2c06131e88f0e37

3,086

py

Python

train.py

cyrusmvahid/LSTNet-Gluon

c2e8b34bcd67220bd87647fdf9d01baa0023133d

[ "Apache-2.0" ]

null

train.py

cyrusmvahid/LSTNet-Gluon

c2e8b34bcd67220bd87647fdf9d01baa0023133d

[ "Apache-2.0" ]

null

train.py

cyrusmvahid/LSTNet-Gluon

c2e8b34bcd67220bd87647fdf9d01baa0023133d

[ "Apache-2.0" ]

null

from __future__ import print_function import argparse import mxnet as mx from mxnet import nd, gluon, autograd from dataset import TimeSeriesData from model import LSTNet import time import multiprocessing as mp def train(file_path, out_path): ts_data = TimeSeriesData(file_path, window=24*7, horizon=24) ct...

33.912088

146

0.598509

412

3,086

4.262136

0.368932

0.031891

0.013667

0.023918

0.088838

0.036446

0

0.020796

0.283215

3,086

90

147

34.288889

0.773056

0.0849

0

0.084577

0

1

0.015385

false

0

0.123077

0

0.153846

0.076923

0

null

0

null

0

1

0

2582945bf9536fba450ea2b236790e0e288299e8

2,821

py

Python

tests/ahv_vm/test_ahv_vm.py

nutanixdev/calm-dsl

90e1c583d7b9ac905cdfb3e2ad27f9f930e69831

[ "Apache-2.0" ]

null

tests/ahv_vm/test_ahv_vm.py

nutanixdev/calm-dsl

90e1c583d7b9ac905cdfb3e2ad27f9f930e69831

[ "Apache-2.0" ]

null

tests/ahv_vm/test_ahv_vm.py

nutanixdev/calm-dsl

90e1c583d7b9ac905cdfb3e2ad27f9f930e69831

[ "Apache-2.0" ]

null

from calm.dsl.builtins import AhvVmDisk, AhvVmNic, AhvVmGC, AhvVmGpu from calm.dsl.builtins import basic_cred, ahv_vm_resources from calm.dsl.builtins import vm_disk_package, read_local_file from calm.dsl.config import get_context AhvVm = ahv_vm_resources() CENTOS_USERNAME = read_local_file(".tests/centos_username")...

31.344444

88

0.69408

340

2,821

5.505882

0.385294

0.037393

0.041132

0.038462

0.266026

0.169872

0.093483

0

0.02053

0.171216

2,821

89

31.696629

0.780154

0.007799

0

0.149381

0.076625

0

0.016949

1

0.033898

false

0.050847

0.084746

0

0.288136

0.016949

0

null

0

null

0

1

0

1

2584851a4d17126b2fb8d6436c754e69633733dc

724

py

Python

validator/rules_src/dict.py

Varun-22/Validator

2c5caa9323aef35e2796813a357e5a7d6d4a80ba

[ "MIT" ]

41

2020-05-07T15:35:12.000Z

2021-11-01T03:57:09.000Z

validator/rules_src/dict.py

Varun-22/Validator

2c5caa9323aef35e2796813a357e5a7d6d4a80ba

[ "MIT" ]

83

2020-05-09T22:11:26.000Z

2022-03-10T19:06:46.000Z

validator/rules_src/dict.py

Varun-22/Validator

2c5caa9323aef35e2796813a357e5a7d6d4a80ba

[ "MIT" ]

25

2020-05-27T22:46:01.000Z

2022-03-04T01:36:11.000Z

from validator.rules_src import Rule class Dict(Rule): """ The field under validation must be a dictionary (Python map) Examples: >>> from validator import validate >>> reqs = {"data" : {"key1" : "val1", "key2" : "val2"} } >>> rule = {"data" : "dict"} >>> validate(reqs, rule) True ...

20.685714

64

0.540055

83

724

4.53012

0.554217

0.095745

0.06383

0.106383

0.148936

0

0.015595

0.291436

724

34

65

21.294118

0.717349

0.470994

0

0.107034

0

1

0.272727

false

0.090909

0

0.636364

0

null

0

null

0

1

0

1

0

1

0

3

2585c90edb71c281306603ef92afa4de591ee6b2

1,944

py

Python

data/transcoder_evaluation_gfg/python/LARGEST_SUBARRAY_WITH_EQUAL_NUMBER_OF_0S_AND_1S.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

241

2021-07-20T08:35:20.000Z

2022-03-31T02:39:08.000Z

data/transcoder_evaluation_gfg/python/LARGEST_SUBARRAY_WITH_EQUAL_NUMBER_OF_0S_AND_1S.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

49

2021-07-22T23:18:42.000Z

2022-03-24T09:15:26.000Z

data/transcoder_evaluation_gfg/python/LARGEST_SUBARRAY_WITH_EQUAL_NUMBER_OF_0S_AND_1S.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

71

2021-07-21T05:17:52.000Z

2022-03-29T23:49:28.000Z

# Copyright (c) 2019-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # def f_gold(arr, n): sum = 0 maxsize = - 1 for i in range(0, n - 1): sum = - 1 if (arr[i] == 0) else 1 ...

41.361702

112

0.474794

352

1,944

2.573864

0.414773

0.02649

0.019868

0

0.329771

0.326132

1,944

46

113

42.26087

0.361832

0.095165

0

0.023986

0

1

0.027778

false

0

0.055556

0.083333

0

null

0

1

0

1

0

null

0

2

2585e87eaaff2fdd76309cfdbd38bd7f7c95efca

935

py

Python

setup.py

DiegoLing33/ling-simple-api

d4b3789cf6110afa3c2db822ff6593079927eca1

[ "MIT" ]

2

2020-10-28T14:00:05.000Z

2020-10-30T11:55:27.000Z

setup.py

DiegoLing33/ling-simple-api

d4b3789cf6110afa3c2db822ff6593079927eca1

[ "MIT" ]

null

setup.py

DiegoLing33/ling-simple-api

d4b3789cf6110afa3c2db822ff6593079927eca1

[ "MIT" ]

null

# ██╗░░░░░██╗███╗░░██╗░██████╗░░░░██████╗░██╗░░░░░░█████╗░░█████╗░██╗░░██╗ # ██║░░░░░██║████╗░██║██╔════╝░░░░██╔══██╗██║░░░░░██╔══██╗██╔══██╗██║░██╔╝ # ██║░░░░░██║██╔██╗██║██║░░██╗░░░░██████╦╝██║░░░░░███████║██║░░╚═╝█████═╝░ # ██║░░░░░██║██║╚████║██║░░╚██╗░░░██╔══██╗██║░░░░░██╔══██║██║░░██╗██╔═██╗░ # ███████╗██║██...

35.961538

75

0.319786

63

935

11.571429

0.777778

0.016461

0

0.014815

0.13369

935

25

76

37.4

0.350617

0.554011

0

0.408867

0.051724

0

1

0

true

0

0.071429

0

0.071429

0

1

null

0

1

0

null

0

1

0

3

258619b27ba7620cfaf422123a35bececd0c3a59

6,826

py

Python

sdk/python/pulumi_aws/directconnect/connection.py

johnktims/pulumi-aws

c838bc79043f5376c66fc66275a1e012edd3ab7d

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/directconnect/connection.py

johnktims/pulumi-aws

c838bc79043f5376c66fc66275a1e012edd3ab7d

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/directconnect/connection.py

johnktims/pulumi-aws

c838bc79043f5376c66fc66275a1e012edd3ab7d

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import json import warnings import pulumi import pulumi.runtime from typing import Union from .. import utilities, tables class Connec...

52.507692

287

0.693671

844

6,826

5.374408

0.216825

0.033951

0.042328

0.037698

0.578042

0.542108

0.525573

0.492504

0.477513

0.449074

0

0.015089

0.223264

6,826

129

288

52.914729

0.840438

0.360973

0

0.030303

1

0

0.162473

0.025784

0

1

0.060606

false

0.015152

0.090909

0.030303

0.333333

0

null

0

1

0

null

0

1

2587f8ca4edd7908a4b73ab0a1763c2cc0753214

4,882

py

Python

main.py

prateek-77/rcan-it

587904556d8127bca83690deaaa26e34e051a576

[ "MIT" ]

57

2022-01-28T04:44:42.000Z

2022-03-31T13:26:35.000Z

main.py

chisyliu/rcan-it

eb1794777ffef4eadd8a6a06f4419380a0b17435

[ "MIT" ]

6

2022-02-08T11:17:19.000Z

2022-03-27T07:40:18.000Z

main.py

chisyliu/rcan-it

eb1794777ffef4eadd8a6a06f4419380a0b17435

[ "MIT" ]

10

2022-01-28T07:31:12.000Z

2022-03-15T01:35:03.000Z

import os import random import argparse import numpy as np import torch import torch.nn as nn import torch.distributed as dist import torch.backends.cudnn as cudnn from ptsr import model from ptsr.data import Data from ptsr.config import load_cfg from ptsr.model import get_num_params from ptsr.utils imp...

36.432836

95

0.630274

609

4,882

4.865353

0.267652

0.039487

0.043874

0.02025

0.096524

0.043874

0.027

0

0.002216

0.260549

4,882

133

96

36.706767

0.81856

0.070668

0

0.057692

0

0.167235

0.017292

0

1

0.038462

false

0

0.125

0

0.182692

0.048077

0

null

0

null

0

1

0

2588ddff6bc7f93f79f0d46e93db16a0b7b7e0ea

886

py

Python

factions.py

Fuih/tqs-bot

d2b0f4b86da1cd0d3fea6fa42529fe2b7f899a76

[ "MIT" ]

null

factions.py

Fuih/tqs-bot

d2b0f4b86da1cd0d3fea6fa42529fe2b7f899a76

[ "MIT" ]

null

factions.py

Fuih/tqs-bot

d2b0f4b86da1cd0d3fea6fa42529fe2b7f899a76

[ "MIT" ]

null

from discord import Color FACTIONS = { 'Thục': 3, 'Quần': 5, 'Ngụy': 7, 'Ngô': 11 } FACTION_COLORS = { FACTIONS['Thục']: Color.red(), FACTIONS['Quần']: Color.dark_grey(), FACTIONS['Ngụy']: Color.blue(), FACTIONS['Ngô']: Color.green(), FACTIONS['Thục']*FACTIONS['Quần']: Color.dark_r...

30.551724

69

0.633183

112

886

4.901786

0.321429

0.10929

0.116576

0.076503

0.182149

0

0.043185

0.163657

886

29

70

30.551724

0.697706

0

0.085682

0

1

0.04

false

0

0.04

0

0.16

0

null

0

null

0

1

0

2588e42576eb79c4a1e848245e4fe3ba547f0a58

75

py

Python

ppml/trusted-big-data-ml/python/docker-graphene/examples/helloworld.py

DirkFi/BigDL

7493209165c046116470b9a1e1c8f527915d6f1e

[ "Apache-2.0" ]

2,970

2017-06-08T00:24:43.000Z

2022-03-30T12:14:55.000Z

ppml/trusted-big-data-ml/python/docker-graphene/examples/helloworld.py

DirkFi/BigDL

7493209165c046116470b9a1e1c8f527915d6f1e

[ "Apache-2.0" ]

3,530

2017-05-09T08:29:10.000Z

2022-03-21T02:11:45.000Z

ppml/trusted-big-data-ml/python/docker-graphene/examples/helloworld.py

DirkFi/BigDL

7493209165c046116470b9a1e1c8f527915d6f1e

[ "Apache-2.0" ]

972

2017-05-09T07:03:50.000Z

2022-03-23T07:48:48.000Z

#!/usr/bin/env python3 print("Hello World") import sys; print(sys.path);

10.714286

22

0.693333

12

75

4.333333

0.833333

0

0.015152

0.12

75

6

23

12.5

0.772727

0.28

0

0.207547

0

1

0

true

0

0.333333

0

0.333333

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2589a0d87beeb28e6dcfc7237ba25fd6df784ac8

1,857

py

Python

tencentcloud/bizlive/v20190313/errorcodes.py

PlasticMem/tencentcloud-sdk-python

666db85623d51d640a165907a19aef5fba53b38d

[ "Apache-2.0" ]

465

2018-04-27T09:54:59.000Z

2022-03-29T02:18:01.000Z

tencentcloud/bizlive/v20190313/errorcodes.py

PlasticMem/tencentcloud-sdk-python

666db85623d51d640a165907a19aef5fba53b38d

[ "Apache-2.0" ]

91

2018-04-27T09:48:11.000Z

2022-03-12T08:04:04.000Z

tencentcloud/bizlive/v20190313/errorcodes.py

PlasticMem/tencentcloud-sdk-python

666db85623d51d640a165907a19aef5fba53b38d

[ "Apache-2.0" ]

232

2018-05-02T08:02:46.000Z

2022-03-30T08:02:48.000Z

# -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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...

26.528571

82

0.803446

181

1,857

8.171271

0.61326

0.040568

0.017579

0.021636

0

0.009163

0.118471

1,857

69

83

26.913043

0.894319

0.409801

0

0.425212

0.368768

0

1

0

false

0

null

0

null

0

1

0

2589b69bdb44179b5ee78c49ec9b5fbc3cadace8

4,828

py

Python

symphony/cli/gql/gql/client.py

idoshveki/magma

8022267bd8b8d94913fbb9a0836880361d785446

[ "BSD-3-Clause" ]

2

2020-11-05T18:58:26.000Z

2021-02-09T06:42:49.000Z

symphony/cli/gql/gql/client.py

idoshveki/magma

8022267bd8b8d94913fbb9a0836880361d785446

[ "BSD-3-Clause" ]

10

2021-03-31T20:19:00.000Z

2022-02-19T07:09:57.000Z

symphony/cli/gql/gql/client.py

idoshveki/magma

8022267bd8b8d94913fbb9a0836880361d785446

[ "BSD-3-Clause" ]

3

2020-08-20T18:45:34.000Z

2020-08-20T20:18:42.000Z

#!/usr/bin/env python3 import warnings from logging import Logger, getLogger from typing import Any, Dict, Optional, cast from graphql import ( build_ast_schema, build_client_schema, get_introspection_query, parse, ) from graphql.language.ast import DocumentNode from graphql.type.schema import GraphQL...

34

88

0.629453

509

4,828

5.787819

0.265226

0.028513

0.013578

0.013238

0.114732

0.076035

0.032587

0

0.002061

0.296396

4,828

141

89

34.241135

0.865175

0.014085

0

0.034483

0

0.103912

0

0.034483

1

0.051724

false

0.017241

0.086207

0

0.232759

0

null

0

null

0

1

0

258c8543e27ed658663d2ca6dbb29648a1842bd2

1,219

py

Python

chem-axon-setup/lambdas/trigger_compound_reg_pipeline.py

spatel-gfb/data-lake-as-code

a5479befd55998a24d535d572a78d803c678dd32

[ "MIT-0" ]

null

chem-axon-setup/lambdas/trigger_compound_reg_pipeline.py

spatel-gfb/data-lake-as-code

a5479befd55998a24d535d572a78d803c678dd32

[ "MIT-0" ]

null

chem-axon-setup/lambdas/trigger_compound_reg_pipeline.py

spatel-gfb/data-lake-as-code

a5479befd55998a24d535d572a78d803c678dd32

[ "MIT-0" ]

null

import boto3 import os import logging """ Create a logging function and initiate it. """ format_string = "%(asctime)s %(name)s [%(levelname)s] %(message)s" logger = logging.getLogger('comp-reg-data-load-pipeline-lambda') handler = logging.StreamHandler() logger.setLevel(logging.DEBUG) formatter = logging.Formatter(for...

36.939394

96

0.66612

149

1,219

5.328859

0.489933

0.060453

0.050378

0.037783

0

0.002107

0.221493

1,219

32

97

38.09375

0.834563

0.104184

0

0.244701

0.052987

0

1

0.05

false

0

0.15

0

0.2

0

null

0

null

0

1

0

258ce0c4afc8aff3be542bf864890a33228e3553

1,017

py

Python

auto_derby/terminal.py

DoctrineAlanK/auto-derby

781e860b06b9686e56feab115d2212251cd99d10

[ "MIT" ]

235

2021-05-24T12:09:18.000Z

2022-03-31T03:44:08.000Z

auto_derby/terminal.py

DoctrineAlanK/auto-derby

781e860b06b9686e56feab115d2212251cd99d10

[ "MIT" ]

193

2021-05-27T16:49:14.000Z

2022-03-31T16:38:08.000Z

auto_derby/terminal.py

DoctrineAlanK/auto-derby

781e860b06b9686e56feab115d2212251cd99d10

[ "MIT" ]

89

2021-05-30T17:07:24.000Z

2022-03-27T15:41:04.000Z

# -*- coding=UTF-8 -*- # pyright: strict from __future__ import annotations import contextlib from typing import Text from . import sound, window class PromptDisabled(PermissionError): def __init__(self): super().__init__("prompt disabled") class g: pause_sound_path = "" prompt_sound_path = "...

19.941176

64

0.662734

121

1,017

5.305785

0.438017

0.152648

0.093458

0.070093

0.096573

0

0.001295

0.240905

1,017

50

65

20.34

0.830311

0.035398

0

0.285714

0

0.075665

0

1

0.114286

false

0

0.114286

0

0.4

0

null

0

null

0

1

0

258cee1ed8e38aa6d11f224a86d185f53caa2d9e

765

py

Python

backend/db.py

vrutkovs/catcatgo

80e7d0b0335a44488a1582ab067be59ec998c6e7

[ "Apache-2.0" ]

1

2018-05-07T20:09:05.000Z

backend/db.py

vrutkovs/catcatgo

80e7d0b0335a44488a1582ab067be59ec998c6e7

[ "Apache-2.0" ]

null

backend/db.py

vrutkovs/catcatgo

80e7d0b0335a44488a1582ab067be59ec998c6e7

[ "Apache-2.0" ]

null

import sys from pymongo import MongoClient from pymongo.errors import ServerSelectionTimeoutError class Mongo(): def __init__(self, username, password, host, port, db): try: self.client = MongoClient('mongodb://{}:{}@{}:{}/{}' .format(username, password, host, port, db)) ...

30.6

68

0.576471

80

765

5.45

0.575

0.114679

0.091743

0.110092

0.119266

0

0.301961

765

24

69

31.875

0.816479

0

0.081046

0.031373

0

1

0.1

false

0.1

0.15

0

0.35

0.05

0

null

0

null

0

1

0

1

258dcda4d3e81c18066625b31adc90681cca2a6b

3,717

py

Python

rkmt/options/convert_options.py

corenel/rknn-model-tools

8af9c062ea4955a76ba9986a6cab6f771c9e678a

[ "MIT" ]

1

2020-07-09T08:50:50.000Z

rkmt/options/convert_options.py

corenel/rknn-model-tools

8af9c062ea4955a76ba9986a6cab6f771c9e678a

[ "MIT" ]

null

rkmt/options/convert_options.py

corenel/rknn-model-tools

8af9c062ea4955a76ba9986a6cab6f771c9e678a

[ "MIT" ]

1

2020-07-09T08:50:31.000Z

from rkmt.options.base_options import BaseOptions class ConvertOptions(BaseOptions): """Arguments parser for model conversion.""" def initialize(self, parser): BaseOptions.initialize(self, parser) parser.add_argument('--platform', type=str, ...

38.71875

99

0.517622

378

3,717

4.917989

0.309524

0.07262

0.137171

0.045186

0.208714

0.157612

0.126412

0.073158

0.037655

0

0.001757

0.387409

3,717

95

100

39.126316

0.814668

0.026365

0

0.325

0

0.258726

0.008864

0

0.0375

1

0.025

false

0

0.0125

0

0.075

0.0125

0

null

0

null

0

1

0

258dcfd014f8ea06a5fb2f72aa227e24e3074687

12,657

py

Python

facebook_downloader/__init__.py

coej/facebook_downloader

b354387f818521e431aaeb81ff70890c2905ba1e

[ "MIT" ]

1

2015-08-19T03:51:16.000Z

facebook_downloader/__init__.py

coej/facebook_downloader

b354387f818521e431aaeb81ff70890c2905ba1e

[ "MIT" ]

null

facebook_downloader/__init__.py

coej/facebook_downloader

b354387f818521e431aaeb81ff70890c2905ba1e

[ "MIT" ]

null

#!/usr/bin/env python # Python 2/3 compatibility from __future__ import (print_function, unicode_literals, division) from future.standard_library import install_aliases install_aliases() from urllib.parse import urlparse, urlencode from urllib.request import urlopen, Request from urllib.error import HTTPError __metac...

30.572464

118

0.572569

1,478

12,657

4.696211

0.201624

0.020746

0.014119

0.015128

0.191183

0.15358

0.119723

0.112664

0

0.007879

0.328119

12,657

413

119

30.646489

0.808325

0.106976

0

0.285235

0

0.067401

0.004529

0

1

0.09396

false

0.016779

0.083893

0.013423

0.291946

0.083893

0

null

0

null

0

1

0

2590970997787e3c270df4ec7937f3094133ac02

5,172

py

Python

commands/create_episodes.py

havanagrawal/wikidata-toolkit

5f39f449ac48eb4b7d93f9b51efa47a4206953e4

[ "MIT" ]

5

2019-07-29T15:05:14.000Z

2020-10-15T03:02:50.000Z

commands/create_episodes.py

havanagrawal/wikidata-toolkit

5f39f449ac48eb4b7d93f9b51efa47a4206953e4

[ "MIT" ]

16

2019-07-29T05:59:14.000Z

2021-12-13T20:06:09.000Z

commands/create_episodes.py

havanagrawal/wikidata-toolkit

5f39f449ac48eb4b7d93f9b51efa47a4206953e4

[ "MIT" ]

8

2019-12-20T02:27:11.000Z

2020-10-15T05:25:40.000Z

import csv from pywikibot import ItemPage, Site import properties.wikidata_properties as wp from utils import RepoUtils from .errors import SuspiciousTitlesError def read_titles(filepath): with open(filepath, "r") as f: reader = csv.reader(f) return list(reader) def create_episode_quickstateme...

39.480916

185

0.703016

718

5,172

4.835655

0.194986

0.067396

0.03485

0.043203

0.382777

0.299827

0.220334

0.156106

0.079493

0

0.000483

0.199923

5,172

130

186

39.784615

0.838569

0.145205

0

0.051948

0

0.025974

0.242312

0.117919

0

1

0.064935

false

0

0.064935

0

0.181818

0.12987

0

null

0

null

0

1

0

2591756f58979e1697229e248af9186007db7429

14,777

py

Python

listener/fhir_validator.py

ideaworld/Tester

21b0106f2affe13636688339cef129aa855e5041

[ "Unlicense" ]

null

listener/fhir_validator.py

ideaworld/Tester

21b0106f2affe13636688339cef129aa855e5041

[ "Unlicense" ]

null

listener/fhir_validator.py

ideaworld/Tester

21b0106f2affe13636688339cef129aa855e5041

[ "Unlicense" ]

null

#!/usr/bin/env python import re import os import json import requests versions_url = { 1 : "http://hl7.org/fhir/2017Jan/%s.profile.json", 2 : "http://hl7.org/fhir/STU3/%s.profile.json" } DATE_RE = re.compile(r'-?([1-9][0-9]{3}|0[0-9]{3})(-(0[1-9]|1[0-2])(-(0[1-9]|[12][0-9]|3[01]))?)?') DATETIME_RE = re.compil...

37.889744

312

0.540908

1,797

14,777

4.257095

0.124096

0.022222

0.020131

0.023529

0.265359

0.232026

0.193203

0.152941

0.143399

0.116471

0

0.018592

0.315693

14,777

390

313

37.889744

0.737935

0.035393

0

0.273273

0

0.012012

0.132921

0.048967

0

null

0.003003

0.012012

null

0.009009

0

null

0

null

0

1

0

1

2593b87aa1477b56a51e9ed6f2959196a21fd9b9

8,507

py

Python

modelkit/assets/manager.py

tgenin/modelkit

2c67b7e12575fa51221f713c2c094030228402ee

[ "MIT" ]

null

modelkit/assets/manager.py

tgenin/modelkit

2c67b7e12575fa51221f713c2c094030228402ee

[ "MIT" ]

null

modelkit/assets/manager.py

tgenin/modelkit

2c67b7e12575fa51221f713c2c094030228402ee

[ "MIT" ]

null

import os import re from typing import Union, cast import filelock from structlog import get_logger from modelkit.assets import errors from modelkit.assets.remote import RemoteAssetsStore from modelkit.assets.settings import AssetsManagerSettings, AssetSpec from modelkit.assets.versioning import ( VERSION_RE, ...

41.296117

88

0.505231

823

8,507

5.031592

0.1774

0.060855

0.042502

0.035499

0.321178

0.28568

0.250906

0.18015

0.162521

0.101183

0

0.000609

0.420947

8,507

205

89

41.497561

0.840032

0.046315

0

0.217877

0

0.086881

0.00506

0

1

0.022346

false

0.005587

0.055866

0

0.134078

0

null

0

null

0

1

0

2595bdd2cbc9598042685c93170a1adc72d0d989

2,303

py

Python

Train/misc/DeepJetTrain_regr_class_dense_conv.py

dntaylor/DeepJet

249610b3b80543c8c84f5ba795bbb07c097f8150

[ "Apache-2.0" ]

1

2019-11-12T01:51:30.000Z

Train/misc/DeepJetTrain_regr_class_dense_conv.py

dntaylor/DeepJet

249610b3b80543c8c84f5ba795bbb07c097f8150

[ "Apache-2.0" ]

null

Train/misc/DeepJetTrain_regr_class_dense_conv.py

dntaylor/DeepJet

249610b3b80543c8c84f5ba795bbb07c097f8150

[ "Apache-2.0" ]

5

2017-11-03T15:51:27.000Z

2019-05-29T14:45:23.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function # some private extra plots #from NBatchLogger import NBatchLogger import matplotlib #if no X11 use below matplotlib.use('Agg') import matplotlib.pyplot as plt import numpy as np from keras import backend as K ...

31.547945

162

0.776813

338

2,303

5.136095

0.440828

0.03629

0.051843

0.028802

0.051843

0.036866

0

0.015466

0.101607

2,303

72

163

31.986111

0.823586

0.21624

0

0.149804

0.054779

0

1

0

false

0

0.347826

0

0.347826

0.021739

0

null

0

null

0

1

0

1

25992567ed4a32a8d244b10358769547aa3cd880

1,783

py

Python

node/gcn.py

TrueNobility303/Machine-Learning-Cora

9e35ebfe8d4db20031aff8361e55af8a1404bc93

[ "MIT" ]

1

2021-07-04T04:25:15.000Z

node/gcn.py

TrueNobility303/Machine-Learning-Graph

9e35ebfe8d4db20031aff8361e55af8a1404bc93

[ "MIT" ]

null

node/gcn.py

TrueNobility303/Machine-Learning-Graph

9e35ebfe8d4db20031aff8361e55af8a1404bc93

[ "MIT" ]

1

2021-07-30T03:18:59.000Z

import torch from torch_geometric.datasets import Planetoid import torch.nn.functional as F from torch_geometric.nn import GCNConv from torch_geometric.nn import GINConv,SAGEConv from torch.nn import Linear,Sequential,BatchNorm1d,ReLU device = torch.device('cuda:0') class Net(torch.nn.Module): def __init__(self,di...

28.301587

74

0.632081

253

1,783

4.324111

0.367589

0.032907

0.04936

0.036563

0.047532

0

0.032538

0.224341

1,783

63

75

28.301587

0.758496

0.026921

0

0.046512

0

0.026885

0

1

0.093023

false

0

0.139535

0

0.325581

0.023256

0

null

0

null

0

1

0

259ba1f2708bdca386f6f7be8aad800497a1495c

6,893

py

Python

src/data_loading.py

JuanitaSmith/ml_capstone_mailout_prediction

30d1e1218107d05ab59afc38f51e4c7f3e1d287c

[ "CNRI-Python" ]

1

2021-12-16T17:11:10.000Z

src/data_loading.py

JuanitaSmith/ml_capstone_mailout_prediction

30d1e1218107d05ab59afc38f51e4c7f3e1d287c

[ "CNRI-Python" ]

null

src/data_loading.py

JuanitaSmith/ml_capstone_mailout_prediction

30d1e1218107d05ab59afc38f51e4c7f3e1d287c

[ "CNRI-Python" ]

null

import pandas as pd from src.config import path_raw, filename_levels, filename_attributes, filename_levels_sheet, filename_attributes_sheet, \ filename_customer_delimiter def load_levels(filename, sheet): """ Load attribute information levels from excel into a dataframe Args: filename (st...

38.294444

122

0.652691

834

6,893

5.23741

0.264988

0.044643

0.019231

0.011676

0.332875

0.305632

0.274267

0.223901

0.205128

0.179029

0

0.009272

0.248948

6,893

179

123

38.50838

0.833881

0.32105

0

0.153846

0

0.128365

0

1

0.051282

false

0

0.025641

0

0.128205

0.089744

0

null

0

null

0

1

0

259bf22657fe2b0b15bb9d6863fe4331ffc37d73

5,486

py

Python

src/tespy/components/basics/subsystem_interface.py

anmartens/tespy

9a543d67cd8266c15cb9940ca640d6a8eda27a28

[ "MIT" ]

1

2020-02-25T08:41:03.000Z

src/tespy/components/basics/subsystem_interface.py

anmartens/tespy

9a543d67cd8266c15cb9940ca640d6a8eda27a28

[ "MIT" ]

null

src/tespy/components/basics/subsystem_interface.py

anmartens/tespy

9a543d67cd8266c15cb9940ca640d6a8eda27a28

[ "MIT" ]

null

# -*- coding: utf-8 """Module for class SubsystemInterface. This file is part of project TESPy (github.com/oemof/tespy). It's copyrighted by the contributors recorded in the version control history of the file, available from its original location tespy/components/basics/subsystem_interface.py SPDX-License-Identifi...

33.248485

102

0.636165

687

5,486

4.943231

0.318777

0.047703

0.012956

0.024735

0.209658

0.182273

0.135453

0.106596

0.073027

0

0.016577

0.252279

5,486

164

103

33.45122

0.811312

0.611374

0

0.232558

0

0.151617

0.044036

0

1

0.116279

false

0

0.046512

0.069767

0.348837

0

null

0

null

0

1

0

259d44dbda9ce86ab423e568cef5c1816855ebe3

6,820

py

Python

sktime/transformations/series/outlier_detection.py

FedericoGarza/sktime

b21cdd81453abd34c72b42d4b2273b49d29eba30

[ "BSD-3-Clause" ]

null

sktime/transformations/series/outlier_detection.py

FedericoGarza/sktime

b21cdd81453abd34c72b42d4b2273b49d29eba30

[ "BSD-3-Clause" ]

null

sktime/transformations/series/outlier_detection.py

FedericoGarza/sktime

b21cdd81453abd34c72b42d4b2273b49d29eba30

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 -u # -*- coding: utf-8 -*- # copyright: sktime developers, BSD-3-Clause License (see LICENSE file) """Implements transformers for detecting outliers in a time series.""" __author__ = ["aiwalter"] __all__ = ["HampelFilter"] import warnings import numpy as np import pandas as pd from sktime.for...

31.284404

88

0.590469

855

6,820

4.553216

0.31345

0.061649

0.041099

0.013357

0.097611

0.065245

0.052402

0.021577

0

0.011514

0.312317

6,820

217

89

31.428571

0.818337

0.431818

0

0.134831

0

0.069274

0.020603

0

1

0.067416

false

0

0.05618

0

0.213483

0

null

0

null

0

1

0

259e11dd3aaf45645c9f959e012d62ca41044dc3

7,735

py

Python

Self Replicating Insanity.py

smcclennon/SRI

4883f6e20c012b3d52a11f49888e2553e2960539

[ "MIT" ]

null

Self Replicating Insanity.py

smcclennon/SRI

4883f6e20c012b3d52a11f49888e2553e2960539

[ "MIT" ]

null

Self Replicating Insanity.py

smcclennon/SRI

4883f6e20c012b3d52a11f49888e2553e2960539

[ "MIT" ]

null

# Self Replicating Insanity # github.com/smcclennon/SRI project_title = 'SRI' ver = '1.0.1' # Insane mode (Windows only) # Each replicated file will be ran in another console window, # and each of the files ran will replicate and run everything agian # Quickly sucks up ram, will most likely cause the machine to freez...

44.2

164

0.382935

912

7,735

4.427632

0.237939

0.193165

0.20951

0.208024

0.250124

0.18524

0.102774

0.080981

0.066617

0.040119

0

0.011006

0.342211

7,735

175

164

44.2

0.512775

0.154493

0

0.068493

0

0.047945

0.582514

0

1

0.027397

false

0

0.020548

0

0.123288

0.034247

0

null

0

1

0

null

0

2

259e2c5f61cd5489f4613bd21c2dec609dd81df0

1,012

py

Python

main.py

PaulMakesStuff/RaspberryPiWeatherDisplay

d9507d9cf45ecd71b6d0a322033dd998d3843632

[ "MIT" ]

1

2021-03-06T16:03:56.000Z

main.py

PaulMakesStuff/RaspberryPiWeatherDisplay

d9507d9cf45ecd71b6d0a322033dd998d3843632

[ "MIT" ]

null

main.py

PaulMakesStuff/RaspberryPiWeatherDisplay

d9507d9cf45ecd71b6d0a322033dd998d3843632

[ "MIT" ]

null

#!/usr/bin/env python3 import time import signal import buttonshim from weather import displayWeather import os def flash_led(interval, times, r, g, b): for i in range( times ): buttonshim.set_pixel(r, g, b) time.sleep( interval ) buttonshim.set_pixel(0, 0, 0) time.sle...

24.095238

42

0.652174

161

1,012

3.944099

0.285714

0.025197

0.018898

0.075591

0.418898

0.31811

0.198425

0.125984

0

0.086076

0.219368

1,012

42

43

24.095238

0.717722

0.020751

0

0.30303

0

0.033684

0

1

0.181818

false

0

0.151515

0

0.333333

0

null

0

null

0

1

0

259ef3d9c03a15a85a5e68fc83639850d12d9247

3,057

py

Python

size_constrained_clustering/shrinkage.py

vergilijus/size_constrained_clustering

be520ee0535b3f73d779e498a9046ef77d69355d

[ "MIT" ]

26

2020-07-04T11:30:09.000Z

2022-02-04T22:12:24.000Z

size_constrained_clustering/shrinkage.py

vergilijus/size_constrained_clustering

be520ee0535b3f73d779e498a9046ef77d69355d

[ "MIT" ]

4

2020-07-04T14:50:49.000Z

2022-03-23T22:09:08.000Z

size_constrained_clustering/shrinkage.py

vergilijus/size_constrained_clustering

be520ee0535b3f73d779e498a9046ef77d69355d

[ "MIT" ]

15

2020-08-19T10:37:25.000Z

2022-03-21T05:00:26.000Z

#!usr/bin/python 3.6 #-*-coding:utf-8-*- ''' @file: shrinkage.py, shrinkage clustering @Author: Jing Wang (jingw2@foxmail.com) @Date: 06/24/2020 @Paper reference: Shrinkage Clustering: A fast and \ size-constrained clustering algorithm for biomedical applications ''' import os import sys path = os.path.dirname(o...

31.193878

111

0.57213

411

3,057

4.075426

0.350365

0.042985

0.031045

0.025075

0.046567

0

0.020554

0.315669

3,057

97

112

31.515464

0.780115

0.283284

0

0.06

1

0.08

false

0

0.12

0

0.26

0

null

0

null

0

1

0

25a092bb2e72769fd405cdd4fba33e5a42c809e8

792

py

Python

test.py

blurryface92/student-portal

aec15d6177c0c37ad815b2e63e4c8fa68dc8df53

[ "MIT" ]

1

2022-01-21T16:10:18.000Z

test.py

blurryface92/student-portal

aec15d6177c0c37ad815b2e63e4c8fa68dc8df53

[ "MIT" ]

null

test.py

blurryface92/student-portal

aec15d6177c0c37ad815b2e63e4c8fa68dc8df53

[ "MIT" ]

1

2022-01-21T16:10:42.000Z

import json from flask import Flask, request, jsonify,render_template app=Flask(__name__) with open("students.json") as f: data = json.load(f) @app.route('/home',methods=['GET','POST']) def index(): if request.method == 'POST': email = request.form['email'] password ...

36

109

0.582071

94

792

4.819149

0.414894

0.12362

0.13245

0.075055

0.233996

0

0.256313

792

22

110

36

0.7691

0

0.148964

0

1

0.105263

false

0.157895

0.105263

0.052632

0.368421

0

null

0

null

0

1

0

1

25a0e9db9daf776824e6238029ee56df46f2c287

1,678

py

Python

plot/plot_bins.py

jacobdeasy/flexible-ehr

ce26ce718cf5cf18a18d38f273a84324dbd5f4b2

[ "MIT" ]

12

2020-03-11T06:04:53.000Z

2021-12-06T04:33:24.000Z

plot/plot_bins.py

jacobdeasy/flexible-ehr

ce26ce718cf5cf18a18d38f273a84324dbd5f4b2

[ "MIT" ]

null

plot/plot_bins.py

jacobdeasy/flexible-ehr

ce26ce718cf5cf18a18d38f273a84324dbd5f4b2

[ "MIT" ]

1

2021-02-23T07:01:18.000Z

import argparse, numpy as np, os import matplotlib as mpl, matplotlib.cm as cm, matplotlib.pyplot as plt mpl.rcParams["axes.spines.right"] = False mpl.rcParams["axes.spines.top"] = False mpl.rc('font', family='serif') def plot_bins(var, n_bins, bounds=None): # Calculate percentiles v = np.load(os.path.join('data', ...

34.958333

89

0.670441

273

1,678

4.025641

0.432234

0.031847

0.046406

0.038217

0.050955

0

0.027548

0.134684

1,678

47

90

35.702128

0.729339

0.037545

0

0.160149

0.01676

0

1

0.028571

false

0

0.057143

0

0.085714

0

null

0

null

0

1

0

25a2b693009d526ad09a5ccd2c4cb2a7e3d5b21d

338

py

Python

Demos/Module4/sets_finish.py

bdheard/PythonEssentials

89aac7177a2f8802663bbbaed876e7554ccc739d

[ "MIT" ]

null

Demos/Module4/sets_finish.py

bdheard/PythonEssentials

89aac7177a2f8802663bbbaed876e7554ccc739d

[ "MIT" ]

null

Demos/Module4/sets_finish.py

bdheard/PythonEssentials

89aac7177a2f8802663bbbaed876e7554ccc739d

[ "MIT" ]

null

# # sets # david_courses = {"History", "Music", "Arts", "Literature", "Calculus"} james_courses = {"Biology", "Chemistry", "Physics", "Statistics", "Calculus"} # intersection print(david_courses.intersection(james_courses)) # difference print(david_courses.difference(james_courses)) # union print(david_courses.unio...

21.125

77

0.745562

36

338

6.777778

0.472222

0.196721

0.209016

0

0.091716

338

15

78

22.533333

0.794788

0.100592

0

0.252525

0

1

0

false

0

0.6

0

null

0

1

0

null

0

1

0

2

25a339aa4cddbd0bc3c3654b51a81e46ed37cd4b

283

py

Python

tasks/aws.py

elieof/ansible-role-artifacts_to_s3

5e6a0f68c66c4714b0a7439c0eac2325e14a0a1a

[ "MIT" ]

null

tasks/aws.py

elieof/ansible-role-artifacts_to_s3

5e6a0f68c66c4714b0a7439c0eac2325e14a0a1a

[ "MIT" ]

null

tasks/aws.py

elieof/ansible-role-artifacts_to_s3

5e6a0f68c66c4714b0a7439c0eac2325e14a0a1a

[ "MIT" ]

null

import boto3 # client = boto3.client('s3') # response = client.list_buckets() # print(response) s3 = boto3.resource('s3') object_acl = s3.ObjectAcl('elieof-eoo','/artifacts/projects/autotest_artifacts_to_s3/releases/1.0.0/git_package.zip') object_acl.put(ACL='authenticated-read')

28.3

117

0.759717

41

283

5.073171

0.658537

0.105769

0

0.041985

0.074205

283

10

118

28.3

0.751908

0.268551

0

0.514706

0.367647

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

25a38ec4aea7b8a56416a4d31b2980a2324c2705

1,460

py

Python

digsby/src/util/plistutil.py

ifwe/digsby

f5fe00244744aa131e07f09348d10563f3d8fa99

[ "Python-2.0" ]

35

2015-08-15T14:32:38.000Z

2021-12-09T16:21:26.000Z

digsby/src/util/plistutil.py

niterain/digsby

16a62c7df1018a49eaa8151c0f8b881c7e252949

[ "Python-2.0" ]

4

2015-09-12T10:42:57.000Z

2017-02-27T04:05:51.000Z

digsby/src/util/plistutil.py

niterain/digsby

16a62c7df1018a49eaa8151c0f8b881c7e252949

[ "Python-2.0" ]

15

2015-07-10T23:58:07.000Z

2022-01-23T22:16:33.000Z

''' Some tools to convert a .plist into python objects. Incomplete. TODO: add load(s)/dump(s) functions to match the 'data shelving' interfaces of pickle, simplejson, pyyaml, etc. ''' #_type_map = dict(real = (float, 'cdata'), # integer = (int, 'cdata'), # true ...

27.54717

112

0.55

165

1,460

4.666667

0.393939

0.045455

0.051948

0.057143

0.051948

0

0.004158

0.341096

1,460

52

113

28.076923

0.796258

0.369863

0

0.068966

0

0.030516

0

0.019231

0

1

0.241379

false

0

0.172414

0.517241

0

null

0

null

0

1

0

1

0

1

0

3

25a6be76ef468185b1e4d897e0b9f7a388376eaf

205

py

Python

exercise5.py

iansantana00/Python-Course

43852aa64c93099342ab4765b0fe8729a959449e

[ "MIT" ]

2

2022-01-13T15:55:58.000Z

2022-02-11T23:18:34.000Z

exercise5.py

iansantana00/Python-Course

43852aa64c93099342ab4765b0fe8729a959449e

[ "MIT" ]

null

exercise5.py

iansantana00/Python-Course

43852aa64c93099342ab4765b0fe8729a959449e

[ "MIT" ]

null

# -*- Coding: utf-8 -*- print("CONVERSOR DE REAL EM DÓLAR") print("---------------------------") r = float(input("Digite o valor em real(R$): ")) d = r / 5.54 print(f"Esse valor em dólar(U$) é: {d}")

18.636364

48

0.497561

32

205

3.1875

0.6875

0.137255

0

0.023529

0.170732

205

10

49

20.5

0.576471

0.102439

0

0.61326

0.149171

0

1

0

false

0

0.6

0

null

0

1

0

null

0

1

0

2

25a7a3ffbbb7d6682b950f2f6c5f6f4d10c6c18c

1,735

py

Python

al_bench/__init__.py

Leengit/ALBench

18d0ff19f4c954f69785cca91e11c45f87268698

[ "Apache-2.0" ]

null

al_bench/__init__.py

Leengit/ALBench

18d0ff19f4c954f69785cca91e11c45f87268698

[ "Apache-2.0" ]

null

al_bench/__init__.py

Leengit/ALBench

18d0ff19f4c954f69785cca91e11c45f87268698

[ "Apache-2.0" ]

null

# ========================================================================== # # Copyright NumFOCUS # # 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/...

45.657895

88

0.70951

236

1,735

5.199153

0.495763

0.0489

0.041565

0.02608

0.03586

0

0.004818

0.162536

1,735

37

89

46.891892

0.839642

0.433429

0

0.053191

0

1

0

false

0

0.5

0

0.5

0

null

0

null

0

1

0

1

25a8985013702867d298b80f39523be51b7e0efb

17,761

py

Python

nauta/nauta.py

fsadannn/nauta-cli

7ab21fddcbf9cfc8db9a005e9ec883519637b524

[ "MIT" ]

null

nauta/nauta.py

fsadannn/nauta-cli

7ab21fddcbf9cfc8db9a005e9ec883519637b524

[ "MIT" ]

null

nauta/nauta.py

fsadannn/nauta-cli

7ab21fddcbf9cfc8db9a005e9ec883519637b524

[ "MIT" ]

null

import os import time import logging import logging.handlers from typing import Dict, List, Union, Any, Optional from requests import Session import requests from parsel import Selector from .constants import NautaState, LogLevel, CONFIG from .user_cls import User from .utils import get_inputs, get_info, human_secs fr...

39.381375

139

0.557964

2,004

17,761

4.808383

0.13024

0.031756

0.010274

0.01868

0.694894

0.660336

0.631071

0.607098

0.591947

0.579078

0

0.003008

0.32622

17,761

451

140

39.381375

0.802206

0.004392

0

0.672414

0

0.218992

0.01052

0

1

0.039409

false

0.059113

0.036946

0.002463

0.150246

0.049261

0

null

0

null

0

1

0

1

25a8cb527fbad1a5590666d38407b531a7390a95

3,995

py

Python

src/scripts/data_processing/fill_missing_values_with_interpolation.py

arnabbiswas1/k_tab_sept_roc_auc_binary_classification_KFold

7a5a91e52d460fd25133b76d5241462a4aedc474

[ "Apache-2.0" ]

null

src/scripts/data_processing/fill_missing_values_with_interpolation.py

arnabbiswas1/k_tab_sept_roc_auc_binary_classification_KFold

7a5a91e52d460fd25133b76d5241462a4aedc474

[ "Apache-2.0" ]

null

src/scripts/data_processing/fill_missing_values_with_interpolation.py

arnabbiswas1/k_tab_sept_roc_auc_binary_classification_KFold

7a5a91e52d460fd25133b76d5241462a4aedc474

[ "Apache-2.0" ]

null

import pandas as pd from sklearn.preprocessing import MinMaxScaler import src.config.constants as constants import src.common as common import src.munging as process_data import src.ts as ts_util def reverse_min_max_scaling(logger, source_df, target_df, features, scaler_dict): for name in features: mm =...

31.456693

98

0.624781

513

3,995

4.551657

0.230019

0.06424

0.033405

0.041113

0.398287

0.376017

0.315632

0.253961

0.220985

0

0.007274

0.277347

3,995

126

99

31.706349

0.801524

0.124656

0

0.290323

0

0.114491

0.05538

0

1

0.032258

false

0

0.064516

0

0.107527

0.010753

0

null

0

null

0

1

0

25a912c6b85b838095734a453a49dc1d85038a60

2,112

py

Python

stixcore/products/tests/test_bsd.py

i4Ds/STIXCore

9a765a33f2e924ead669b9b99afc1e41a4d2d8e8

[ "BSD-3-Clause" ]

1

2022-03-31T13:42:43.000Z

stixcore/products/tests/test_bsd.py

i4Ds/STIXCore

9a765a33f2e924ead669b9b99afc1e41a4d2d8e8

[ "BSD-3-Clause" ]

192

2020-11-03T22:40:19.000Z

2022-03-31T15:17:13.000Z

stixcore/products/tests/test_bsd.py

i4Ds/STIXCore

9a765a33f2e924ead669b9b99afc1e41a4d2d8e8

[ "BSD-3-Clause" ]

3

2020-11-09T15:05:18.000Z

2022-01-21T07:52:51.000Z

import re from unittest.mock import patch import numpy as np import pytest from stixcore.data.test import test_data from stixcore.products.level0 import scienceL0 as sl0 from stixcore.products.level1 import scienceL1 as sl1 testpackets = [(test_data.tmtc.TM_21_6_20_complete, sl0.RawPixelData, sl1.RawPixelData, ...

44.93617

100

0.671875

284

2,112

4.795775

0.376761

0.041116

0.052863

0.061674

0.180617

0.154185

0.054332

0

0.154706

0.195076

2,112

46

101

45.913043

0.646471

0.046402

0

0.171642

0.018905

0

0.021739

0.171429

1

0.028571

false

0

0.2

0

0.228571

0

null

0

null

0

1

0

1

25a9b4d8e6473092e7beb77c5938cbaa57f66a4a

8,344

py

Python

3d_fitting/transfer2video_v3.py

duguqiankun/NeuralVoicePuppetry

26b87d98a1ecfe6e4a6738641e6436ab1a9ece31

[ "BSD-3-Clause" ]

null

3d_fitting/transfer2video_v3.py

duguqiankun/NeuralVoicePuppetry

26b87d98a1ecfe6e4a6738641e6436ab1a9ece31

[ "BSD-3-Clause" ]

null

3d_fitting/transfer2video_v3.py

duguqiankun/NeuralVoicePuppetry

26b87d98a1ecfe6e4a6738641e6436ab1a9ece31

[ "BSD-3-Clause" ]

1

2021-12-21T08:20:34.000Z

import os # os.environ['CUDA_VISIBLE_DEVICES'] = '6' from facenet_pytorch import MTCNN from core.options import ImageFittingOptions import cv2 import face_alignment import numpy as np from core import get_recon_model import os import torch import pickle import core.utils as utils import torch.nn as nn imp...

29.90681

186

0.590125

1,119

8,344

4.225201

0.216265

0.054992

0.021151

0.01269

0.157995

0.103849

0.094966

0.066201

0.049069

0.030457

0

0.039506

0.271932

8,344

279

187

29.90681

0.738765

0.058365

0

0.042169

0

0.07732

0.03588

0

1

0.018072

false

0

0.108434

0

0.138554

0.048193

0

null

0

null

0

1

0

25ab2cfa339a691b746236596cac21c0e0e39942

200

py

Python

examples/keys.py

notchxor/ueosio

0169075c6814461932eb5ce30f851ef70401fb61

[ "MIT" ]

1

2020-06-19T00:08:25.000Z

examples/keys.py

notchxor/ueosio

0169075c6814461932eb5ce30f851ef70401fb61

[ "MIT" ]

null

examples/keys.py

notchxor/ueosio

0169075c6814461932eb5ce30f851ef70401fb61

[ "MIT" ]

null

from ueosio import gen_key_pair, get_pub_key ## Print Key Pair print(gen_key_pair()) ## Get Public Address from Private Key print(get_pub_key('5KJfEtwkMBp8t5HtgGfFZVdiUJhDejS5sbiE5siMVe1xs6RQa6y'))

25

73

0.825

27

200

5.814815

0.481481

0.133758

0.127389

0.165605

0

0.044444

0.1

200

7

74

28.571429

0.827778

0.25

0

0.351724

0

1

0

true

0

0.333333

0

0.333333

0.666667

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

25ac8194d8ccbd9a09f074296efd798e9bbe2bfd

132

py

Python

PyTrinamic/ic/TMC2041/TMC2041_register_variant.py

trinamic-AA/PyTrinamic

b054f4baae8eb6d3f5d2574cf69c232f66abb4ee

[ "MIT" ]

37

2019-01-13T11:08:45.000Z

2022-03-25T07:18:15.000Z

PyTrinamic/ic/TMC2041/TMC2041_register_variant.py

AprDec/PyTrinamic

a9db10071f8fbeebafecb55c619e5893757dd0ce

[ "MIT" ]

56

2019-02-25T02:48:27.000Z

2022-03-31T08:45:34.000Z

PyTrinamic/ic/TMC2041/TMC2041_register_variant.py

AprDec/PyTrinamic

a9db10071f8fbeebafecb55c619e5893757dd0ce

[ "MIT" ]

26

2019-01-14T05:20:16.000Z

2022-03-08T13:27:35.000Z

''' Created on 24.10.2019 @author: JM ''' class TMC2041_register_variant: " ===== TMC2041 register variants ===== " "..."

13.2

45

0.583333

14

132

5.357143

0.857143

0.4

0

0.152381

0.204545

132

10

46

13.2

0.561905

0.55303

0

0.461538

0

1

0

true

0

0.333333

0

1

0

null

1

0

null

0

1

0

3

25afa92abc41404c658c8f5eea275176109abd43

11,308

py

Python

prune_layer_v5_weightingByKernel.py

bolifeyo/Pruned-YOLO

fc1b7203fdb8a4fb8eda8491e5ad2683eab5d159

[ "Apache-2.0" ]

33

2021-03-18T11:34:14.000Z

2021-12-28T06:21:47.000Z

prune_layer_v5_weightingByKernel.py

bolifeyo/Pruned-YOLO

fc1b7203fdb8a4fb8eda8491e5ad2683eab5d159

[ "Apache-2.0" ]

10

2021-03-19T03:35:26.000Z

2022-01-11T06:30:18.000Z

prune_layer_v5_weightingByKernel.py

bolifeyo/Pruned-YOLO

fc1b7203fdb8a4fb8eda8491e5ad2683eab5d159

[ "Apache-2.0" ]

10

2021-03-24T11:55:46.000Z

2022-01-23T03:38:06.000Z

import argparse import torch.nn.functional as F import torch.optim.lr_scheduler as lr_scheduler import torch.utils.data import torch.nn as nn import test # import test.py to get mAP after each epoch from models.yolo import * from models.experimental import * from models.common import * from utils.datasets import * fr...

46.921162

164

0.624337

1,702

11,308

3.912456

0.153937

0.056765

0.09551

0.090104

0.341643

0.306953

0.275867

0.26055

0.241928

0.207689

0

0.013415

0.23532

11,308

240

165

47.116667

0.756679

0.05191

0

0.125604

0

0.019324

0.092227

0

0.019324

1

0.028986

false

0.004831

0.057971

0

0.111111

0.033816

0

null

0

null

0

1

0

25afbfde05c67785ccd3dc5ab3cf731469a73398

23,741

py

Python

shirp/handler.py

cedricg92/event-manager

d07fafe88dca06a4d1a07e2a368122b0fb18ccfd

[ "Apache-2.0" ]

null

shirp/handler.py

cedricg92/event-manager

d07fafe88dca06a4d1a07e2a368122b0fb18ccfd

[ "Apache-2.0" ]

null

shirp/handler.py

cedricg92/event-manager

d07fafe88dca06a4d1a07e2a368122b0fb18ccfd

[ "Apache-2.0" ]

null

import datetime import fnmatch import gzip import shutil import tarfile import time import croniter import hdfs from watchdog.events import PatternMatchingEventHandler, FileCreatedEvent, FileModifiedEvent, FileMovedEvent, os, \ FileSystemEvent def add_log_str(log_pattern, strlog): """Add log in logfile ...

39.241322

119

0.614212

2,771

23,741

5.103934

0.071815

0.076999

0.100191

0.062787

0.771689

0.729831

0.718447

0.692852

0.665064

0.617832

0

0.000876

0.278463

23,741

604

120

39.306291

0.824752

0.204372

0

0.474843

0

0.028859

0

1

0.106918

false

0

0.028302

0

0.311321

0.012579

0

null

0

1

0

1

0

null

0

3

25b040492768293a10b1f4bb4b453755073193ce

7,907

py

Python

dialogue.py

Maxzolythus/Badmoon-Working-Title-pre-alpha-I-hate-that-word-

f90068d670432a5c32a0d0938529968e1da375c8

[ "CC0-1.0" ]

null

dialogue.py

Maxzolythus/Badmoon-Working-Title-pre-alpha-I-hate-that-word-

f90068d670432a5c32a0d0938529968e1da375c8

[ "CC0-1.0" ]

null

dialogue.py

Maxzolythus/Badmoon-Working-Title-pre-alpha-I-hate-that-word-

f90068d670432a5c32a0d0938529968e1da375c8

[ "CC0-1.0" ]

null

""" Full of social stuff with the other characters Up ur social links dialogue.py Max Ferguson """ from main import * sLink = {"Steve": 0, "Zara": 0, "Aeyden": 0, "Emil": 0, "Douche": 0, "Diana": 0, "Cheryl": 0, "Hiram": 0, "Eduardo": 0} def steve(place, sLink, stats, name, pronouns): """ "Dykey" cis Werewol...

38.950739

119

0.554825

1,053

7,907

4.166192

0.296296

0.013677

0.030773

0.038979

0.4062

0.337816

0.311602

0.209027

0

0.004632

0.344758

7,907

202

120

39.143564

0.842115

0.367143

0

0.378641

0

0.009709

0.349107

0

1

0.087379

false

0.116505

0.009709

0

0.097087

0.116505

0

null

0

null

0

1

0

1

25b0c94c1b7162ba39eb9ea90001ad594220bda8

2,417

py

Python

tests/test_status.py

tbartelmess/python-nomad

3ddbf904af2947992722a9dcf58c23eb0078fc8f

[ "MIT" ]

null

tests/test_status.py

tbartelmess/python-nomad

3ddbf904af2947992722a9dcf58c23eb0078fc8f

[ "MIT" ]

null

tests/test_status.py

tbartelmess/python-nomad

3ddbf904af2947992722a9dcf58c23eb0078fc8f

[ "MIT" ]

null

import pytest import tests.common as common import nomad import sys @pytest.fixture def nomad_setup(): n = nomad.Nomad(host=common.IP, port=common.NOMAD_PORT, verify=False, token=common.NOMAD_TOKEN) return n # integration tests requires nomad Vagrant VM or Binary running def test_get_leader(nomad_setup): ...

28.435294

99

0.733968

357

2,417

4.72549

0.193277

0.201541

0.189686

0.124481

0.658566

0.518672

0.471844

0.362774

0.186129

0

0.029254

0.151427

2,417

84

100

28.77381

0.793272

0.025238

0

0.113208

0

0.042906

0

0.339623

1

0.264151

false

0.018868

0.075472

0

0.358491

0

null

1

0

null

0

1

0

3

25b158d89271f5b65a9c02d9dbc2083e03cdfb9a

154

py

Python

enums/Matiere.py

ythepaut/visi301_univdefender

13f0e564ad3265aabf77544755873b8584d296de

[ "CC-BY-3.0" ]

7

2019-10-08T15:48:18.000Z

2021-07-06T13:20:54.000Z

enums/Matiere.py

ythepaut/visi301_univdefender

13f0e564ad3265aabf77544755873b8584d296de

[ "CC-BY-3.0" ]

null

enums/Matiere.py

ythepaut/visi301_univdefender

13f0e564ad3265aabf77544755873b8584d296de

[ "CC-BY-3.0" ]

3

2019-10-08T15:47:55.000Z

2019-12-13T23:28:12.000Z

"""Module Enum:Matiere""" from enum import Enum class Matiere(Enum): """Enum : Matiere""" HISTOIRE = 0 MATHS = 1 INFO = 2 SPORT = 3

14

25

0.571429

20

154

4.4

0.7

0.25

0

0.036697

0.292208

154

10

26

15.4

0.770642

0.220779

0

1

0

false

0

0.166667

0

1

0

1

0

null

1

0

null

0

1

0

3

25b171c31a40f6d8668db31079821a30e464b8d6

155

py

Python

tests/plugins/viz/conftest.py

andrsd/otter

3d47d4ad433b5e7bd1a1d5fed45b4950de14c25f

[ "MIT" ]

null

tests/plugins/viz/conftest.py

andrsd/otter

3d47d4ad433b5e7bd1a1d5fed45b4950de14c25f

[ "MIT" ]

30

2020-02-25T13:29:59.000Z

2022-01-07T20:19:05.000Z

tests/plugins/viz/conftest.py

andrsd/otter

3d47d4ad433b5e7bd1a1d5fed45b4950de14c25f

[ "MIT" ]

null

import pytest @pytest.fixture def viz_plugin(qtbot): from otter.plugins.viz.VizPlugin import VizPlugin plugin = VizPlugin(None) yield plugin

17.222222

53

0.748387

20

155

5.75

0.65

0

0.180645

155

8

54

19.375

0.905512

0

1

0.166667

false

0

0.333333

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

25b188508f38bd8df1c9c5cddf7b6a70e5657a2c

10,338

py

Python

get_data_thomson.py

fusion-flap/flap_nstx_gpi

cf7d4bdecea8fd7434f8f7eb64e1a7b13fc0f759

[ "MIT" ]

null

get_data_thomson.py

fusion-flap/flap_nstx_gpi

cf7d4bdecea8fd7434f8f7eb64e1a7b13fc0f759

[ "MIT" ]

null

get_data_thomson.py

fusion-flap/flap_nstx_gpi

cf7d4bdecea8fd7434f8f7eb64e1a7b13fc0f759

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Mar 5 18:24:43 2020 @author: mlampert """ import os import copy #FLAP imports and settings import flap import flap_mdsplus flap_mdsplus.register('NSTX_MDSPlus') thisdir = os.path.dirname(os.path.realpath(__file__)) fn = os.path.join(thisdir,"flap_ns...

42.368852

128

0.523796

1,118

10,338

4.597496

0.223614

0.023152

0.02179

0.034241

0.298638

0.205253

0.129572

0.070428

0.049416

0

0.010938

0.380925

10,338

244

129

42.368852

0.792188

0.086961

0

0.205128

0

0.131205

0.00467

0

1

0.010256

false

0

0.041026

0

0.05641

0

null

0

null

0

1

0

25b2dee9cd1192a7a5e75e961aa831313600a105

1,351

py

Python

res/007-itertools.py

leialbert/keep-learning-python

7bbf2226e6e99e87661f15ea46e6149b61d9912f

[ "MIT" ]

null

res/007-itertools.py

leialbert/keep-learning-python

7bbf2226e6e99e87661f15ea46e6149b61d9912f

[ "MIT" ]

null

res/007-itertools.py

leialbert/keep-learning-python

7bbf2226e6e99e87661f15ea46e6149b61d9912f

[ "MIT" ]

null

from itertools import product a = [1,2] b = [3,4] c = [4] prd = product(a,b) print(prd) print(list(prd)) prd = product(a,c,repeat=2) print(list(prd)) from itertools import permutations a = [1,2,3] per = permutations(a) print(list(per)) a = [1,2,3] per = permutations(a,2) print(list(per)) from itertools import combi...

18.256757

57

0.665433

240

1,351

3.683333

0.245833

0.0181

0.027149

0.2319

0.176471

0.131222

0.085973

0

0.045614

0.156181

1,351

74

58

18.256757

0.729825

0.087343

0

0.333333

0

0.044082

0

1

0.019608

false

0

0.156863

0.019608

0.196078

0.294118

0

null

0

null

0

1

0

25b43442eeb848a6a93a6d999d5f0e66f89b810e

1,234

py

Python

searches/depth_first_search.py

exterkamps/Python-Data-Structures

8594ed934edeaded4866999932384d12fb4519c3

[ "Apache-2.0" ]

3

2018-10-15T17:38:29.000Z

2021-03-24T02:55:46.000Z

searches/depth_first_search.py

exterkamp/Python-Data-Structures

8594ed934edeaded4866999932384d12fb4519c3

[ "Apache-2.0" ]

null

searches/depth_first_search.py

exterkamp/Python-Data-Structures

8594ed934edeaded4866999932384d12fb4519c3

[ "Apache-2.0" ]

null

def depth_first_search(grid, start, target): """ Search a 2d grid for a given target starting at start. Args: grid: the input grid as a List[List] start: the start grid in format (x,y) zero index target: the target value to find in the grid Returns: Coordinate of the tar...

29.380952

130

0.548622

177

1,234

3.757062

0.322034

0.045113

0.031579

0.054135

0.159399

0.064662

0

0.031746

0.336305

1,234

41

131

30.097561

0.78022

0.246353

0

0.083333

0

1

0.041667

false

0

0.208333

0

null

0

null

0

1

0

25b4f049fb62cc24f11e54dc8fc2ba379ccfdcb5

3,634

py

Python

test_bear_todo_counter.py

attomos/bear_todo_counter

4a42955f6a76f25cc4fdcdba3fe6dd79dcfeb217

[ "MIT" ]

1

2019-07-27T14:51:45.000Z

test_bear_todo_counter.py

attomos/bear_todo_counter

4a42955f6a76f25cc4fdcdba3fe6dd79dcfeb217

[ "MIT" ]

null

test_bear_todo_counter.py

attomos/bear_todo_counter

4a42955f6a76f25cc4fdcdba3fe6dd79dcfeb217

[ "MIT" ]

null

from bear_todo_counter import append_todo_count def test_simple_todo(): txt = """\ Tasks + Task one - Task two - Task three""" actual = append_todo_count(txt) expected = """\ Tasks [1/3] + Task one - Task two - Task three""" assert actual == expected def test_todo_with_emoji(): txt = """\ Tasks ...

21.00578

171

0.635938

568

3,634

4.024648

0.15669

0.034996

0.048994

0.082677

0.884952

0.86133

0.841207

0.780402

0.730096

0

0.021777

0.216566

3,634

172

21.127907

0.772041

0.011833

0

0.811688

0

0.025974

0.63246

0

0.058442

1

0.058442

false

0

0.006494

0

0.064935

0

null

0

1

0

1

0

1

0

null

0

8

25b56d59ee51fe287acc9555362e89eb0880dd7a

8,915

py

Python

ibmcli/tests/unit/test_api.py

powellquiring/pycli

ecc5beec84833b978dfa41259ab3ac306617fc55

[ "Apache-2.0" ]

null

ibmcli/tests/unit/test_api.py

powellquiring/pycli

ecc5beec84833b978dfa41259ab3ac306617fc55

[ "Apache-2.0" ]

2

2021-04-06T18:19:56.000Z

2021-06-02T03:28:55.000Z

ibmcli/tests/unit/test_api.py

powellquiring/pycli

ecc5beec84833b978dfa41259ab3ac306617fc55

[ "Apache-2.0" ]

null

import ibmcli import re def test_plugin_list(): example_output = """Listing installed plug-ins... Plugin Name Version Status dev 2.4.0 cloud-functions/wsk/functions/fn 1.0.35 container-service/kubernetes-service 0.4.38 ...

51.531792

271

0.636455

1,139

8,915

4.894644

0.321335

0.01722

0.016144

0.022422

0.161794

0.133812

0.110135

0.08287

0.056323

0

0.053276

0.275715

8,915

173

272

51.531792

0.810129

0.004936

0

0.040541

0

0.101351

0.726494

0.049493

0

0.141892

1

0.067568

false

0

0.027027

0

0.094595

0

null

0

1

0

null

0

1

25b8845e4d182b367e71bf9679fb75ef834e9cbd

2,228

py

Python

Chapter13/final/bookr/reviews/tests.py

PacktPublishing/Web-Development-Projects-with-Django

531bc4d58d614888cc81b7fd6f8ec859f5a65217

[ "MIT" ]

97

2021-03-01T12:54:30.000Z

2022-03-28T02:57:26.000Z

Chapter13/final/bookr/reviews/tests.py

PacktPublishing/Web-Development-Projects-with-Django

531bc4d58d614888cc81b7fd6f8ec859f5a65217

[ "MIT" ]

81

2020-08-27T04:56:04.000Z

2022-03-12T00:53:40.000Z

Chapter13/final/bookr/reviews/tests.py

PacktPublishing/Web-Development-Projects-with-Django

531bc4d58d614888cc81b7fd6f8ec859f5a65217

[ "MIT" ]

163

2020-12-25T14:38:38.000Z

2022-03-30T10:31:40.000Z

import os from django.conf import settings from django.test import TestCase, Client from django.utils import timezone from reviews.models import Book, Publisher class Activity2Test(TestCase): @classmethod def setUpTestData(cls): p = Publisher.objects.create(name='Test Publisher') Book.object...

40.509091

120

0.666517

306

2,228

4.718954

0.359477

0.033241

0.049862

0.297784

0.207756

0.15374

0.110803

0

0.002882

0.221275

2,228

54

121

41.259259

0.829395

0.135099

0

0.058824

0

0.058824

0.208553

0.131996

0

0.147059

1

0.058824

false

0

0.147059

0

0.235294

0

null

0

null

0

1

0

25bc4ad308584b1f25deefeed2a0843dc4fbf607

955

py

Python

django/devbot/project/urls.py

blitzagency/django-chatterbox

7bf17444f8308aa12b6718bd62ee1344021c21aa

[ "MIT" ]

8

2015-03-10T20:03:09.000Z

2018-06-14T23:03:58.000Z

django/devbot/project/urls.py

blitzagency/django-chatterbox

7bf17444f8308aa12b6718bd62ee1344021c21aa

[ "MIT" ]

3

2015-07-14T22:44:47.000Z

2020-06-05T23:43:05.000Z

django/devbot/project/urls.py

blitzagency/django-chatterbox

7bf17444f8308aa12b6718bd62ee1344021c21aa

[ "MIT" ]

null

from django.conf import settings from django.conf.urls import include, patterns, url from django.contrib import admin from django.views.generic import TemplateView admin.autodiscover() urlpatterns = patterns( '', (r'^grappelli/', include('grappelli.urls')), (r'^chatterbox/', include('chatterbox.urls', nam...

32.931034

76

0.653403

111

955

5.531532

0.441441

0.065147

0.045603

0.052117

0.153094

0

0.183246

955

28

77

34.107143

0.787179

0.064921

0

0.181818

0

0.265169

0.104494

0

1

0

false

0

0.181818

0

0.181818

0

null

0

null

0

1

0

25bcf1ca297f8201e6f00eeb98ba8123ff5c8130

1,753

py

Python

graph_embeddings/models/complex.py

navidmdn/Multi-hop-qa-rl

81ac9c2b4a37bd9a18dea3980624e338f4b16b4a

[ "MIT" ]

null

graph_embeddings/models/complex.py

navidmdn/Multi-hop-qa-rl

81ac9c2b4a37bd9a18dea3980624e338f4b16b4a

[ "MIT" ]

null

graph_embeddings/models/complex.py

navidmdn/Multi-hop-qa-rl

81ac9c2b4a37bd9a18dea3980624e338f4b16b4a

[ "MIT" ]

null

from graph_embeddings.models.embedding_model import EmbeddingModel import torch class ComplEx(EmbeddingModel): def __init__(self, data_loader, entity_dim, rel_dim, loss_type, device, do_batch_norm, **kwargs): super(ComplEx, self).__init__( data_loader, entity_dim, rel_dim, los...

37.297872

105

0.634912

240

1,753

4.3875

0.25

0.066477

0.041785

0.062678

0.271605

0.248813

0.146249

0.106363

0

0.025365

0.257844

1,753

46

106

38.108696

0.784012

0

0.052632

0

1

0.052632

false

0

0.052632

0

0.157895

0

null

0

null

0

1

0

25be2dc9f7c0978f0a272dbf62277c5be22a8d3f

1,921

py

Python

aiopika_macrobase/rpc/endpoint.py

mbcores/aiopika-macrobase

a3351b9eed3cc80995070675d99e7e68022b65d9

[ "MIT" ]

null

aiopika_macrobase/rpc/endpoint.py

mbcores/aiopika-macrobase

a3351b9eed3cc80995070675d99e7e68022b65d9

[ "MIT" ]

1

2020-08-06T07:42:48.000Z

aiopika_macrobase/rpc/endpoint.py

mbcores/aiopika-macrobase

a3351b9eed3cc80995070675d99e7e68022b65d9

[ "MIT" ]

3

2020-04-07T10:02:16.000Z

2021-07-08T05:16:11.000Z

from macrobase_driver.logging import set_request_id from sentry_sdk import capture_exception from .request import RPCRequest, RPCResponse, RPCMessageType from ..endpoint import AiopikaEndpoint from ..result import AiopikaResult from aio_pika import IncomingMessage from structlog import get_logger log = get_logger('m...

35.574074

101

0.690265

202

1,921

6.49505

0.386139

0.030488

0.032012

0.027439

0.10061

0

0.222801

1,921

53

102

36.245283

0.878768

0.019261

0

0.08

0

0.059669

0.021567

0

1

0

false

0

0.28

0

0.48

0

null

0

null

0

1

0

25be66a44bc977c43292b8dbb8604562501b636d

23,766

py

Python

FWCore/Framework/test/test_module_delete_subprocess_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

5

2020-07-02T19:05:26.000Z

2022-02-25T14:37:09.000Z

FWCore/Framework/test/test_module_delete_subprocess_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

524

2018-01-29T15:50:45.000Z

2021-08-04T14:03:21.000Z

FWCore/Framework/test/test_module_delete_subprocess_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

8

2020-06-08T16:28:54.000Z

2021-11-16T14:40:00.000Z

import FWCore.ParameterSet.Config as cms process = cms.Process("A") process.maxEvents.input = 8 process.source = cms.Source("EmptySource") #process.Tracer = cms.Service("Tracer") # Process tree # A (Process) # ^ # \- B # | ^ # | \- BA # | # \- C # | # \- D # ^ # \- DA # Cases to test # - event/lumi/run/pro...

44.256983

162

0.79963

1,591

23,766

11.940918

0.157762

0.028056

0.041057

0.053269

0.316928

0.196179

0.182019

0.177492

0.146068

0.099695

0

0.007253

0.106581

23,766

536

163

44.339552

0.887486

0.048767

0

0.207637

0

0.179065

0.167171

0

1

0.002387

false

0

0.002387

0

0.00716

0

1

null

0

null

0

1

25bf347b5a170666d625bcf8fa70e4e815aea2e9

511

py

Python

src/lithopscloud/modules/gen2/lithops/image.py

Cohen-J-Omer/lithopscloud

bc897ae3952e0faca42581846a8b3169a0b5b49f

[ "Apache-2.0" ]

2

2021-08-22T04:36:34.000Z

2021-11-08T16:02:57.000Z

src/lithopscloud/modules/gen2/lithops/image.py

Cohen-J-Omer/lithopscloud

bc897ae3952e0faca42581846a8b3169a0b5b49f

[ "Apache-2.0" ]

null

src/lithopscloud/modules/gen2/lithops/image.py

Cohen-J-Omer/lithopscloud

bc897ae3952e0faca42581846a8b3169a0b5b49f

[ "Apache-2.0" ]

1

2021-08-22T08:45:19.000Z

from typing import Any, Dict from lithopscloud.modules.gen2.image import ImageConfig class LithopsImageConfig(ImageConfig): def __init__(self, base_config: Dict[str, Any]) -> None: super().__init__(base_config) self.defaults['image_id'] = base_config['ibm_vpc'].get('image_id') def update_c...

34.066667

84

0.733855

68

511

5.102941

0.470588

0.144092

0.121037

0.138329

0.115274

0

0.002288

0.144814

511

14

85

36.5

0.791762

0

0.127202

0

1

0.222222

false

0

0.222222

0

0.555556

0

null

0

null

0

1

0

1

0

2

25c058848ef8c6856f73ea330d8c5a94d4371927

85

py

Python

overtrick/pairs/apps.py

katemakescode/overtrick

d5a324e4fe28e82de9703e80c12891a5c2ec4dbe

[ "MIT" ]

null

overtrick/pairs/apps.py

katemakescode/overtrick

d5a324e4fe28e82de9703e80c12891a5c2ec4dbe

[ "MIT" ]

null

overtrick/pairs/apps.py

katemakescode/overtrick

d5a324e4fe28e82de9703e80c12891a5c2ec4dbe

[ "MIT" ]

null

from django.apps import AppConfig class PairsConfig(AppConfig): name = 'pairs'

14.166667

33

0.741176

10

85

6.3

0.9

0

0.176471

85

5

34

17

0.9

0

0.058824

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

25c10987a4ba7935613dd91db86e1f9e7f66e461

1,640

py

Python

superRes_Train/test.py

abhijitramesh/Eagle-eye

a79f6a1a6d7f2c887cc98f7afb7c6dbe823c7cee

[ "Apache-2.0" ]

2

2021-02-15T14:58:19.000Z

2021-02-17T22:51:34.000Z

superRes_Train/test.py

abhijitramesh/Eagle-eye

a79f6a1a6d7f2c887cc98f7afb7c6dbe823c7cee

[ "Apache-2.0" ]

null

superRes_Train/test.py

abhijitramesh/Eagle-eye

a79f6a1a6d7f2c887cc98f7afb7c6dbe823c7cee

[ "Apache-2.0" ]

null

import torch from utils import * from PIL import Image, ImageDraw, ImageFont device = torch.device("cuda" if torch.cuda.is_available() else "cpu") def super_res(img): ## SRRESNET srresnet_checkpoint = "./checkpoint_srresnet.pth.tar" srresnet = torch.load(srresnet_checkpoint,map_location=device)['model'] ...

34.166667

119

0.70122

232

1,640

4.650862

0.280172

0.055607

0.072289

0.050046

0.205746

0.164968

0.124189

0

0.015119

0.153049

1,640

48

120

34.166667

0.761699

0.071951

0

0.124011

0.067942

0

1

0.034483

false

0

0.103448

0

0.137931

0

null

0

null

0

1

0

25c1eb5997e281f0e9cff107c934f0f8dbe2e2eb

13,571

py

Python

src/jsleakcheck.py

Letractively/leak-finder-for-javascript

3a6c872313dc94d9f5c71950d30b14c01d63078c

[ "Apache-2.0" ]

null

src/jsleakcheck.py

Letractively/leak-finder-for-javascript

3a6c872313dc94d9f5c71950d30b14c01d63078c

[ "Apache-2.0" ]

null

src/jsleakcheck.py

Letractively/leak-finder-for-javascript

3a6c872313dc94d9f5c71950d30b14c01d63078c

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2012 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...

36.877717

80

0.663179

1,633

13,571

5.397428

0.244948

0.034944

0.01838

0.009644

0.146358

0.13592

0.122532

0.112321

0.085546

0.044021

0

0.002046

0.243829

13,571

367

81

36.978202

0.856851

0.066465

0

0.135747

0

0.251

0.039286

0

null

0.004525

0.036199

null

0.031674

0

null

0

null

0

1

0

1

25c22b5ef0da2b64f093b2f009b804a76def2bb9

1,298

py

Python

map/header.py

WhereGroup/mapconverter

cd0aa5f533194c85cf6e098fadc079ea61b63fce

[ "MIT" ]

9

2020-05-13T13:45:54.000Z

2022-03-30T10:43:45.000Z

map/header.py

WhereGroup/mapconverter

cd0aa5f533194c85cf6e098fadc079ea61b63fce

[ "MIT" ]

4

2020-09-09T10:01:08.000Z

2022-01-15T17:59:11.000Z

map/header.py

WhereGroup/mapconverter

cd0aa5f533194c85cf6e098fadc079ea61b63fce

[ "MIT" ]

1

2022-03-16T17:08:16.000Z

# coding=utf-8 def create_header(xml_document, arc_doc_info): """ Creates the Header in the DOM :param xml_document: The DOM / Document for writing the QGIS-File :return: the header element in the DOM """ header_element = xml_document.createElement("qgis") header_element.setAttribute("projectna...

41.870968

89

0.782743

150

1,298

6.453333

0.306667

0.134298

0.092975

0.160124

0.103306

0

0.007042

0.124807

1,298

30

90

43.266667

0.84507

0.114792

0

0.096546

0.018601

0

1

0.052632

false

0

0.105263

0

null

0

1

0

null

0

1

25c357277c48f76703f9498b78790dfaeab86dcd

488

py

Python

easyai/tasks/utility/base_test.py

lpj0822/image_point_cloud_det

7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f

[ "MIT" ]

1

2020-09-05T09:18:56.000Z

easyai/tasks/utility/base_test.py

lpj0822/image_point_cloud_det

7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f

[ "MIT" ]

8

2020-04-20T02:18:55.000Z

2022-03-12T00:24:50.000Z

easyai/tasks/utility/base_test.py

lpj0822/image_point_cloud_det

7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- # Author: import abc from easyai.helper.timer_process import TimerProcess from easyai.tasks.utility.base_task import BaseTask class BaseTest(BaseTask): def __init__(self, config_path): super().__init__() self.timer = TimerProcess() self.config...

20.333333

52

0.678279

60

488

5.25

0.583333

0.095238

0.088889

0

0.002618

0.217213

488

23

53

21.217391

0.82199

0.10041

0

0.285714

0

1

0.214286

false

0.142857

0.214286

0

0.5

0

null

0

null

0

1

0

1

0

2

25c460aba52525705ae564ecd9a987d6cd1c6003

8,755

py

Python

populous/media/models.py

caiges/populous

d07094f9d6b2528d282ed99af0063002480bc00b

[ "BSD-3-Clause" ]

2

2016-05-09T01:17:08.000Z

2017-07-18T23:35:01.000Z

populous/media/models.py

caiges/populous

d07094f9d6b2528d282ed99af0063002480bc00b

[ "BSD-3-Clause" ]

null

populous/media/models.py

caiges/populous

d07094f9d6b2528d282ed99af0063002480bc00b

[ "BSD-3-Clause" ]

null

from django.db import models from django.utils.html import strip_tags from django.utils.translation import ugettext_lazy as _ from django.contrib.sites.managers import CurrentSiteManager from django.contrib.sites.models import Site from populous.filebrowser.fields import FileBrowseField from populous.staff.models impo...

42.916667

282

0.672073

1,071

8,755

5.281046

0.159664

0.036598

0.041372

0.054102

0.644272

0.629774

0.599364

0.560113

0.512376

0.455269

0

0.007843

0.184466

8,755

204

283

42.916667

0.784314

0.079155

0

0.527778

0

0.150196

0

1

0.104167

false

0

0.055556

0.048611

0.777778

0

null

0

null

0

1

0

1

25c4d04411b12679ad3412cf2a77df2f6285b638

1,580

py

Python

day9/flask_day3/sqlalchemy_demo1/demo4.py

gaohj/wh1904js

a3af38f8311f79eb9f2e08a3de16dd1e02c40714

[ "Apache-2.0" ]

null

day9/flask_day3/sqlalchemy_demo1/demo4.py

gaohj/wh1904js

a3af38f8311f79eb9f2e08a3de16dd1e02c40714

[ "Apache-2.0" ]

null

day9/flask_day3/sqlalchemy_demo1/demo4.py

gaohj/wh1904js

a3af38f8311f79eb9f2e08a3de16dd1e02c40714

[ "Apache-2.0" ]

null

from sqlalchemy import ( create_engine, Column, Integer, String, Float, Boolean, DECIMAL, Enum, DateTime, DATE, Time, Text ) from sqlalchemy.dialects.mysql import LONGTEXT from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker # 这是...

24.6875

103

0.703165

189

1,580

5.767196

0.529101

0.051376

0.049541

0

0.040801

0.177848

1,580

63

104

25.079365

0.798306

0.261392

0

0.085965

0.037719

0

1

0

false

0.047619

0.190476

0

0.404762

0

null

0

null

0

1

0

25c5027aeec82d81b35c8aa9d76e300f3294343e

5,378

py

Python

publications/2021-al-generator-lulc/scripts/results.py

joaopfonseca/research

02659512218d077d9ef28d481178e62172ef18cd

[ "MIT" ]

1

2021-01-25T00:09:32.000Z

publications/2021-al-generator-lulc/scripts/results.py

joaopfonseca/research

ac4ad6fa05b5985050c63dc9e4e18cd00965e09b

[ "MIT" ]

20

2021-12-10T11:54:59.000Z

2022-03-18T17:55:33.000Z

publications/2021-al-generator-lulc/scripts/results.py

joaopfonseca/research

ac4ad6fa05b5985050c63dc9e4e18cd00965e09b

[ "MIT" ]

null

""" Generate the main experimental results. """ # Author: Joao Fonseca <jpmrfonseca@gmail.com> # Georgios Douzas <gdouzas@icloud.com> # License: MIT from os.path import join import pandas as pd from sklearn.linear_model import LogisticRegression from sklearn.neighbors import KNeighborsClassifier from sklearn....

28.305263

88

0.598364

596

5,378

5.114094

0.307047

0.023622

0.01706

0.023622

0.2979

0.229659

0.200787

0.177165

0.147638

0.122047

0

0.012814

0.288955

5,378

189

89

28.455026

0.784257

0.087021

0

0.243056

1

0

0.123974

0.025657

0

1

0.034722

false

0

0.104167

0.013889

0.173611

0

null

0

1

0

null

0

1

25c6233c949be37003df81cd078a37810b00f6ff

2,411

py

Python

recovery/TopoMADSrc/src/train.py

imperial-qore/CAROL

57dc42c4ddeb9e75eed43a91ceb336a1ecc9c8b9

[ "BSD-3-Clause" ]

1

2022-03-19T16:37:40.000Z

recovery/TopoMADSrc/src/train.py

imperial-qore/CAROL

57dc42c4ddeb9e75eed43a91ceb336a1ecc9c8b9

[ "BSD-3-Clause" ]

null

recovery/TopoMADSrc/src/train.py

imperial-qore/CAROL

57dc42c4ddeb9e75eed43a91ceb336a1ecc9c8b9

[ "BSD-3-Clause" ]

null

from .constants import * from .utils import * import torch.nn as nn from tqdm import tqdm from .plotter import * anomaly_loss = nn.MSELoss(reduction = 'none') mse_loss = nn.MSELoss(reduction = 'mean') def custom_loss(model, pred_state, true_state, thresholds): aloss = mse_loss(pred_state.view(-1), torch.tensor(true_...

41.568966

125

0.705931

388

2,411

4.177835

0.244845

0.061073

0.064158

0.02591

0.159161

0.037014

0

0.013546

0.142679

2,411

57

126

42.298246

0.770682

0.003318

0

0.019608

0.04

0.00875

0

1

0.078431

false

0

0.098039

0

0.254902

0

null

0

null

0

1

0

25c8813ed4ae67c3e35bea39915c2befdf4b00ec

1,498

py

Python

curation_projects/sites/sarit/main.py

sanskrit-coders/doc_curation

6da4cab5d97232b84b2a656becca9136da13a00b

[ "MIT" ]

7

2020-04-25T08:55:55.000Z

2020-12-21T05:31:00.000Z

curation_projects/sites/sarit/main.py

sanskrit-coders/doc_curation

6da4cab5d97232b84b2a656becca9136da13a00b

[ "MIT" ]

15

2020-04-25T08:31:42.000Z

2021-07-24T12:23:42.000Z

curation_projects/sites/sarit/main.py

sanskrit-coders/doc_curation

6da4cab5d97232b84b2a656becca9136da13a00b

[ "MIT" ]

4

2020-04-25T06:28:37.000Z

2020-12-19T21:30:10.000Z

import logging import os from pathlib import Path from curation_utils.file_helper import clear_bad_chars from doc_curation import tei from doc_curation.md.file import MdFile def dump_sarit_markdown(src_dir, dest_dir): file_paths = sorted(Path(src_dir).glob("*.xml")) for file_path in file_paths: file_path = s...

48.322581

249

0.755007

234

1,498

4.57265

0.277778

0.061682

0.106542

0.079439

0.440187

0.371963

0.326168

0.220561

0.08785

0

0.001473

0.093458

1,498

30

250

49.933333

0.786451

0.512684

0

0.084138

0.041379

0

1

0.066667

false

0

0.4

0

0.466667

0

null

0

null

0

1

0

1

25c9be0aa40c9cc11065bccf3512fe3ff60fb71c

1,193

py

Python

Model/Characteristics.py

ProjectBlackFalcon/DatBot

8b2cc64af78757b832d8bc6a1373fb74b7a4316f

[ "MIT" ]

7

2017-11-22T13:28:41.000Z

2019-10-17T08:47:40.000Z

Model/Characteristics.py

ProjectBlackFalcon/DatBot

8b2cc64af78757b832d8bc6a1373fb74b7a4316f

[ "MIT" ]

3

2018-10-07T15:59:34.000Z

2019-01-15T11:56:18.000Z

Model/Characteristics.py

ProjectBlackFalcon/DatBot

8b2cc64af78757b832d8bc6a1373fb74b7a4316f

[ "MIT" ]

null

class Characteristics: def __init__(self): self.level = None self.xp = None self.xp_next_level_floor = None self.weight = None self.weight_max = None self.health_percent = None self.jobs = None self.vi = None self.int = None self.agi ...

29.825

118

0.52808

136

1,193

4.455882

0.301471

0.171617

0.033003

0.049505

0.066007

0

0.346186

1,193

39

119

30.589744

0.776923

0

0.10394

0

1

0.085714

false

0

0.028571

0.171429

0

null

0

null

0

1

0

25c9dfc31337ec370a3cc01b5ad5fd8eda8cf639

285

py

Python

deca/cmds/process_rtpc.py

kk49/deca

8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae

[ "MIT" ]

50

2019-06-05T04:01:04.000Z

2022-03-05T14:56:43.000Z

deca/cmds/process_rtpc.py

kk49/deca

8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae

[ "MIT" ]

115

2019-03-27T13:34:00.000Z

2022-03-11T23:43:12.000Z

deca/cmds/process_rtpc.py

kk49/deca

8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae

[ "MIT" ]

13

2020-01-25T01:15:49.000Z

2022-02-08T02:20:05.000Z

import sys from deca.ff_rtpc import Rtpc class FakeVfs: def hash_string_match(self, hash32=None, hash48=None, hash64=None): return [] in_file = sys.argv[1] with open(in_file, 'rb') as f: rtpc = Rtpc() rtpc.deserialize(f) print(rtpc.dump_to_string(FakeVfs()))

16.764706

71

0.684211

45

285

4.177778

0.688889

0.06383

0

0.030303

0.189474

285

16

72

17.8125

0.78355

0

0.007018

0

1

0.1

false

0

0.2

0.1

0.5

0.1

0

null

0

null

0

1

0

25cc917b26808f7902aee415f3383c9b04b96aba

5,328

py

Python

apps/v1api/views/contract.py

ekivemark/BlueButtonFHIR_API

9b5d9ca92b1e5ff0e9de046c87596ff3d5e66eef

[ "Apache-2.0" ]

5

2016-03-02T23:25:39.000Z

2020-10-29T07:28:42.000Z

apps/v1api/views/contract.py

HowardEdidin/BlueButtonFHIR_API

b8433055507bcc334f70bc864eacd379a04f69db

[ "Apache-2.0" ]

13

2020-02-11T22:50:32.000Z

2022-03-11T23:12:48.000Z

apps/v1api/views/contract.py

HowardEdidin/BlueButtonFHIR_API

b8433055507bcc334f70bc864eacd379a04f69db

[ "Apache-2.0" ]

4

2016-02-02T19:17:24.000Z

2020-10-10T16:10:31.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # vim: ai ts=4 sts=4 et sw=4 """ BlueButtonFHIR_API FILE: apps.v1api.contract Created: 1/4/16 1:22 AM Write consent by beneficiary to allow use of their data by third party application Status: Experimental Get FHIR Contract format from http://hl7.org/fhir/contract.html ...

45.538462

109

0.671547

537

5,328

6.64432

0.337058

0.080717

0.045404

0.055493

0.395179

0.371357

0.34389

0.29176

0.246637

0.220852

0

0.004434

0.195758

5,328

116

110

45.931034

0.828238

0.951389

0

0.260163

0.085366

0

1

0.142857

false

0.142857

0

0.428571

0.142857

0

null

0

1

0

null

0

1

0

2

25ccb0913ef4b3651479a239662414ae76f45041

609

py

Python

oauthprovider/permissions.py

avryhof/sub-g

46f403d189eb16de93a5ff8ab7fe88507bcaf2fd

[ "MIT" ]

null

oauthprovider/permissions.py

avryhof/sub-g

46f403d189eb16de93a5ff8ab7fe88507bcaf2fd

[ "MIT" ]

null

oauthprovider/permissions.py

avryhof/sub-g

46f403d189eb16de93a5ff8ab7fe88507bcaf2fd

[ "MIT" ]

null

from rest_framework import permissions from .models import AuthorizedAgent class AuthorizedAgentPermission(permissions.BasePermission): def has_permission(self, request, view): is_authorized = False try: AuthorizedAgent.objects.get(authorized=True, app_key=request.auth) exce...

22.555556

78

0.697865

59

609

7.050847

0.542373

0.144231

0.134615

0.149038

0.461538

0.326923

0

0.246305

609

26

79

23.423077

0.906318

0

0.375

0

1

0.125

false

0.0625

0.125

0

0.5

0

null

0

null

0

1

0

1

25cd9bc3d7f75b07d01d83640a5c5130f4b01fee

113

py

Python

classification/datasets/const.py

ridgei/MCD_DA

d8d40774aeabd72df73190c9dc1980f9239df128

[ "MIT" ]

null

classification/datasets/const.py

ridgei/MCD_DA

d8d40774aeabd72df73190c9dc1980f9239df128

[ "MIT" ]

4

2020-12-03T10:21:09.000Z

2020-12-07T05:46:40.000Z

classification/datasets/const.py

ridgei/MCD_DA

d8d40774aeabd72df73190c9dc1980f9239df128

[ "MIT" ]

null

from os import path from os.path import join DATA_PATH = join(path.sep, 'workspace', 'classification', 'data')

18.833333

65

0.734513

17

113

4.823529

0.529412

0.146341

0

0.141593

113

5

66

22.6

0.845361

0

0.238938

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

25cdaf7cb219ebcc1a48a35fc052d380b63d54ae

655

py

Python

cobl/lexicon/migrations/0137_normalize_nexus_exports.py

Bibiko/CoBL-public

5092a0d01b7a13565c7da6bf2f6c52d648a2debe

[ "BSD-2-Clause" ]

3

2017-05-30T04:40:43.000Z

2019-04-25T14:54:54.000Z

cobl/lexicon/migrations/0137_normalize_nexus_exports.py

Bibiko/CoBL-public

5092a0d01b7a13565c7da6bf2f6c52d648a2debe

[ "BSD-2-Clause" ]

null

cobl/lexicon/migrations/0137_normalize_nexus_exports.py

Bibiko/CoBL-public

5092a0d01b7a13565c7da6bf2f6c52d648a2debe

[ "BSD-2-Clause" ]

3

2018-07-02T13:42:12.000Z

2019-05-17T13:11:13.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals, print_function import json from django.db import migrations def forwards_func(apps, schema_editor): NexusExport = apps.get_model("lexicon", "NexusExport") for export in NexusExport.objects.all(): settings = json.loads(export.exportSettin...

24.259259

59

0.690076

76

655

5.736842

0.631579

0.055046

0.06422

0.091743

0

0.032443

0.2

655

26

60

25.192308

0.799618

0.032061

0

0.075949

0.036392

0

1

0.117647

false

0.058824

0.176471

0

0.470588

0.058824

0

null

0

null

0

1

0

1

25ce92f15804d39fd750d921a11abe1b5d750803

1,622

py

Python

bites/bite021.py

ChidinmaKO/Chobe-bitesofpy

2f933e6c8877a37d1ce7ef54ea22169fc67417d3

[ "MIT" ]

null

bites/bite021.py

ChidinmaKO/Chobe-bitesofpy

2f933e6c8877a37d1ce7ef54ea22169fc67417d3

[ "MIT" ]

null

bites/bite021.py

ChidinmaKO/Chobe-bitesofpy

2f933e6c8877a37d1ce7ef54ea22169fc67417d3

[ "MIT" ]

1

2019-07-16T19:12:52.000Z

cars = { 'Ford': ['Falcon', 'Focus', 'Festiva', 'Fairlane'], 'Holden': ['Commodore', 'Captiva', 'Barina', 'Trailblazer'], 'Nissan': ['Maxima', 'Pulsar', '350Z', 'Navara'], 'Honda': ['Civic', 'Accord', 'Odyssey', 'Jazz'], 'Jeep': ['Grand Cherokee', 'Cherokee', 'Trailhawk', 'Trackhawk'] } def get_al...

34.510638

71

0.6418

209

1,622

4.870813

0.401914

0.049116

0.041257

0.044204

0

0.003147

0.2164

1,622

47

72

34.510638

0.797797

0.286683

0

0.074074

0

0.161698

0

1

0.148148

false

0

0.333333

0

null

0

null

0

1

0

25cf4945d974bdc43f8bfbe0d747b72c20968c9e

3,027

py

Python

homeassistant/components/switch/mysensors.py

magas0/home-assistant

3c9e4934946ce99f5193ca550296034e86337997

[ "MIT" ]

null

homeassistant/components/switch/mysensors.py

magas0/home-assistant

3c9e4934946ce99f5193ca550296034e86337997

[ "MIT" ]

null

homeassistant/components/switch/mysensors.py

magas0/home-assistant

3c9e4934946ce99f5193ca550296034e86337997

[ "MIT" ]

null

""" Support for MySensors switches. For more details about this platform, please refer to the documentation at https://home-assistant.io/components/switch.mysensors/ """ import logging from homeassistant.components import mysensors from homeassistant.components.switch import SwitchDevice from homeassistant.const impo...

36.035714

75

0.650479

396

3,027

4.732323

0.328283

0.044824

0.048559

0.044824

0.270011

0.254002

0.18143

0.164354

0

0.001783

0.258672

3,027

83

76

36.46988

0.833333

0.225966

0

0.150943

0

1

0.09434

false

0

0.075472

0

0.264151

0

null

0

null

0

1

0