xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

57e128ea490ce4054b3b3e3217095daaedc9be46

2,386

py

Python

tests/test_url.py

upymake/uurl

d4fcb0a2bd177203b3f980c1ded3da60e912b51a

[ "MIT" ]

null

tests/test_url.py

upymake/uurl

d4fcb0a2bd177203b3f980c1ded3da60e912b51a

[ "MIT" ]

2

2020-08-16T21:18:25.000Z

2021-09-18T07:56:10.000Z

tests/test_url.py

upymake/uurl

d4fcb0a2bd177203b3f980c1ded3da60e912b51a

[ "MIT" ]

null

import pytest from uurl.host import Host from uurl.path import Path, UrlPath from uurl.protocol import HttpProtocol, Protocol from uurl.url import Address, Url _host: str = '9.9.9.9' _path: str = '/api/path' pytestmark = pytest.mark.unit @pytest.fixture(scope='module') def host() -> Host: yield Host('example.co...

28.404762

100

0.738055

330

2,386

5.00303

0.118182

0.167171

0.101757

0.138098

0.727438

0.623864

0.545124

0.434282

0.405815

0.350091

0

0.001944

0.137469

2,386

83

101

28.746988

0.800292

0

0.298246

0

0.106454

0.073764

0

0.105263

1

0.210526

false

0

0.087719

0

0.298246

0

null

0

null

0

1

0

1

57e2a4adce43a936efc68129fc66c26cd04cf0b8

6,140

py

Python

server/serve_demo.py

eugenius1/esys-cw1

9e36f5773162d41e2dc3c73df542315d094ccac0

[ "MIT" ]

1

2020-08-27T19:04:09.000Z

server/serve_demo.py

eugenius1/esys-cw1

9e36f5773162d41e2dc3c73df542315d094ccac0

[ "MIT" ]

null

server/serve_demo.py

eugenius1/esys-cw1

9e36f5773162d41e2dc3c73df542315d094ccac0

[ "MIT" ]

null

import string import os import json import paho.mqtt.client as mqtt from bottle import route, run, template, static_file debug = True if debug: broker_ip = '127.0.0.1' else: broker_ip = '192.168.0.10' mqtt_topic = "esys/GreenRhino/geiger" # keys of Geiger JSON object with data data_keys = ['count_per_minut...

29.95122

208

0.62101

768

6,140

4.835938

0.377604

0.052773

0.019386

0.022617

0.07916

0.05035

0.030156

0

0.029298

0.243974

6,140

204

209

30.098039

0.770788

0.100977

0

0.096774

0

0.03871

0.534617

0.14592

0

1

0.045161

false

0.090323

0.032258

0.006452

0.096774

0.058065

0

null

0

null

0

1

0

1

57eff897ff2ab08d58fc031972cc6cd02f2d936a

1,569

py

Python

mechanic/base_test_agent.py

oxrock/DisasterBot

36260e9ef8730edbae018ba87aa19aaad72c8814

[ "MIT" ]

11

2018-11-18T09:30:39.000Z

2021-08-24T18:47:48.000Z

mechanic/base_test_agent.py

oxrock/DisasterBot

36260e9ef8730edbae018ba87aa19aaad72c8814

[ "MIT" ]

6

2020-01-31T11:37:56.000Z

2020-05-01T19:13:54.000Z

mechanic/base_test_agent.py

oxrock/DisasterBot

36260e9ef8730edbae018ba87aa19aaad72c8814

[ "MIT" ]

7

2018-11-17T20:02:19.000Z

2020-05-01T15:07:13.000Z

import time from rlbot.agents.base_agent import SimpleControllerState from skeleton import SkeletonAgent from .base_mechanic import BaseMechanic class BaseTestAgent(SkeletonAgent): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.mechanic = self.create_mechanic() ...

32.020408

61

0.657106

156

1,569

6.416667

0.326923

0.083916

0.071928

0.065934

0.14985

0

0.002575

0.257489

1,569

48

62

32.6875

0.856652

0

0.210526

0

0.017846

0

1

0.157895

false

0.052632

0.105263

0

0.342105

0

null

0

null

0

1

0

1

57f1fbae09aa660f26667a1aef32111eaa06bd8f

406

py

Python

describe_net.py

leocus/snps

31bbaf139903201b40600cc52516cbf12b66021a

[ "BSD-3-Clause" ]

null

describe_net.py

leocus/snps

31bbaf139903201b40600cc52516cbf12b66021a

[ "BSD-3-Clause" ]

null

describe_net.py

leocus/snps

31bbaf139903201b40600cc52516cbf12b66021a

[ "BSD-3-Clause" ]

null

import pickle import numpy as np w = pickle.load(open("winner.pkl", "rb")) nodes = w.nodes connections = w.connections for i, v in nodes.items(): print(f"Node {i}") print(f"\tc: {v.c1}") print(f"\tp: {v.p1}") print(f"\td: {v.d1}") print("\tCONNECTIONS") for j, cv in connections.items(): ...

20.3

53

0.55665

69

406

3.275362

0.536232

0.132743

0

0.016129

0.236453

406

19

54

21.368421

0.712903

0

0.238916

0

1

0

false

0

0.142857

0

0.142857

0.428571

0

null

0

null

0

1

0

1

57f3df9abfea6c29a1522bf156216d70d1c1fec3

2,164

py

Python

stackmud/settings.py

whutch/stackmud

461bd17b833269d30a20e30dba79d75cec5c498c

[ "MIT" ]

1

2021-07-16T19:40:17.000Z

stackmud/settings.py

whutch/stackmud

461bd17b833269d30a20e30dba79d75cec5c498c

[ "MIT" ]

null

stackmud/settings.py

whutch/stackmud

461bd17b833269d30a20e30dba79d75cec5c498c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Setting registration and management.""" # Part of StackMUD (https://github.com/whutch/stackmud) # :copyright: (c) 2022 Will Hutcheson # :license: MIT (https://github.com/whutch/stackmud/blob/master/LICENSE.txt) from .utils import Manager class Unset: """A sentinel value that we can dis...

25.458824

76

0.618299

258

2,164

4.965116

0.341085

0.063232

0.031226

0.049961

0.221702

0.082748

0

0.003209

0.280037

2,164

84

77

25.761905

0.818999

0.1622

0

0.2

0

0.041736

0

1

0.181818

false

0.054545

0.018182

0

0.454545

0

null

0

null

0

1

0

1

17a729129d0c5abff1aaee03fe6b0b5ff64da8a6

48,559

py

Python

autodoc.py

snaphat/angler_gnss_fixer

3026d387d5a67dbe5b8e1fc813717f174e179ede

[ "MIT" ]

4

2019-10-29T05:50:34.000Z

2020-01-19T06:39:32.000Z

autodoc.py

snaphat/auto-doc

19d30966002839aa6252274a9d78293ab5b0866b

[ "MIT" ]

1

2020-03-06T15:59:32.000Z

autodoc.py

snaphat/auto-doc

19d30966002839aa6252274a9d78293ab5b0866b

[ "MIT" ]

null

import distutils.dir_util #for multiple file copy. import getpass #for username. import glob #for globbing paths. import os #fs stat and path check. import re #regex. import shutil #move and copy files. import string #for string replacal. ...

36.373783

229

0.442328

4,234

48,559

5.049362

0.151393

0.018523

0.004911

0.01277

0.32719

0.262688

0.208382

0.181767

0.163806

0.150989

0

0.005302

0.316337

48,559

1,334

230

36.401049

0.638683

0.350934

0

0.344768

0

0.015437

0.079966

0.002768

0

0.000651

0.00075

0

null

0.012007

0.027444

null

0.080618

0

null

0

null

0

1

0

1

17a7a844fdea991807237122b683bd4a9c3e0ed9

1,787

py

Python

cognigraph/helpers/matrix_functions.py

cognigraphtravis/cognigraph

cfed2a32a4b22b15687b13b40a52e54fdbed703a

[ "MIT" ]

3

2019-03-02T08:59:25.000Z

2019-06-16T20:20:07.000Z

cognigraph/helpers/matrix_functions.py

cognigraphtravis/cognigraph

cfed2a32a4b22b15687b13b40a52e54fdbed703a

[ "MIT" ]

24

2019-04-01T14:52:16.000Z

2019-11-12T18:10:37.000Z

cognigraph/helpers/matrix_functions.py

cognigraphtravis/cognigraph

cfed2a32a4b22b15687b13b40a52e54fdbed703a

[ "MIT" ]

6

2018-12-11T12:42:14.000Z

2019-10-01T14:03:25.000Z

import numpy as np from .. import TIME_AXIS, CHANNEL_AXIS def make_time_dimension_second(ndarray: np.ndarray): """ To different people chunks of data are either TIME x CHANNEL or CHANNEL x TIME. We don't want to impose our preference on users so this can be set with TIME_AXIS constant. But at times we do nee...

30.288136

115

0.679351

283

1,787

4.056537

0.371025

0.083624

0.043554

0.052265

0.229094

0.212544

0.137631

0.08885

0

0.010065

0.2216

1,787

58

116

30.810345

0.815241

0.26413

0

0.4

0

0.010786

0

1

0.171429

false

0

0.057143

0.028571

0.514286

0

null

0

null

0

1

0

1

17ab30c251ed7a3c106fa2ce6620bf912ef5783a

1,227

py

Python

server/zeta_basic/ERRORS/Error.py

bennaaym/Zeta-Basic

7fcc0acbb37146e7c5a5c05000af72a99d102b8f

[ "MIT" ]

3

2021-07-16T08:12:52.000Z

2022-03-20T11:30:53.000Z

server/zeta_basic/ERRORS/Error.py

bennaaym/zeta-basic

7fcc0acbb37146e7c5a5c05000af72a99d102b8f

[ "MIT" ]

null

server/zeta_basic/ERRORS/Error.py

bennaaym/zeta-basic

7fcc0acbb37146e7c5a5c05000af72a99d102b8f

[ "MIT" ]

null

class Error : def __init__(self,name,details,position): self.name = name self.details = details self.position = position def __str__(self): return f'Error : {self.name} -> {self.details} | line :{self.position.line} col : {self.position.col}' class IllegalCharError(Erro...

27.886364

136

0.631622

128

1,227

5.773438

0.195313

0.142084

0.064953

0.086604

0.320704

0.278755

0.170501

0

0.246129

1,227

44

137

27.886364

0.798919

0

0.142857

0

0.071429

0.21987

0.034202

0

1

0.25

false

0

0.071429

0.5

0

null

0

null

0

1

0

1

17aca2aace28864962740c8dec0b80da97115b01

4,732

py

Python

main.py

codacy-badger/mayday-ticketing-bot

7cbb1d201ececd2eb879c047e2cf7588862eb89f

[ "MIT" ]

null

main.py

codacy-badger/mayday-ticketing-bot

7cbb1d201ececd2eb879c047e2cf7588862eb89f

[ "MIT" ]

null

main.py

codacy-badger/mayday-ticketing-bot

7cbb1d201ececd2eb879c047e2cf7588862eb89f

[ "MIT" ]

null

from telegram.ext import (CallbackQueryHandler, CommandHandler, ConversationHandler, Filters, MessageHandler, RegexHandler, Updater) import mayday from mayday import AppConfig, LogConfig from mayday.constants import stages from mayday.constants.replykeyboards import ReplyKeyboards from mayda...

40.793103

109

0.640744

495

4,732

5.808081

0.246465

0.086261

0.104348

0.13913

0.355826

0.331478

0.293217

0.202087

0.163826

0

0.002632

0.277473

4,732

115

110

41.147826

0.838257

0.071217

0

0.222222

0

0.018717

0

1

0.011111

false

0.277778

0.066667

0

0.077778

0

null

0

null

0

1

0

1

17af74519f14bed3a1210254ba536b52fe6fc507

2,607

py

Python

auth.py

dan-danciu/tbos-auth

24b0c75f6f7b4f12e11c46fd39aab91997f40455

[ "MIT" ]

null

auth.py

dan-danciu/tbos-auth

24b0c75f6f7b4f12e11c46fd39aab91997f40455

[ "MIT" ]

1

2021-04-30T20:42:31.000Z

auth.py

dan-danciu/tbos-auth

24b0c75f6f7b4f12e11c46fd39aab91997f40455

[ "MIT" ]

null

from __future__ import print_function from google.auth.transport import requests from google.oauth2 import id_token import boto3 def generatePolicy(principalId, userDetails, effect, methodArn): authResponse = {} authResponse['principalId'] = principalId if effect and methodArn: policyDoc...

36.71831

88

0.586114

213

2,607

7.084507

0.441315

0.013917

0.047714

0.019881

0.060968

0

0.026184

0.311469

2,607

70

89

37.242857

0.814485

0.198312

0

0.043478

1

0

0.181546

0.03591

0

1

0.043478

false

0

0.086957

0

0.217391

0.021739

0

null

0

1

0

null

0

1

17b9b469a76ba84d6da4cc2d4fcf4d82bbef0f34

5,752

py

Python

SimPEG/Utils/interputils.py

KyuboNoh/HY

8ba9815137c2cff2f1931a1940e1b762e8df0b02

[ "MIT" ]

1

2020-11-27T03:26:22.000Z

SimPEG/Utils/interputils.py

KyuboNoh/HY

8ba9815137c2cff2f1931a1940e1b762e8df0b02

[ "MIT" ]

null

SimPEG/Utils/interputils.py

KyuboNoh/HY

8ba9815137c2cff2f1931a1940e1b762e8df0b02

[ "MIT" ]

null

import numpy as np import scipy.sparse as sp from matutils import mkvc, sub2ind, spzeros try: import interputils_cython as pyx _interp_point_1D = pyx._interp_point_1D _interpmat1D = pyx._interpmat1D _interpmat2D = pyx._interpmat2D _interpmat3D = pyx._interpmat3D _interpCython = True except Impo...

30.433862

88

0.513561

816

5,752

3.465686

0.210784

0.035361

0.036775

0.021216

0.450849

0.366337

0.320368

0.30198

0.289958

0

0.054461

0.364743

5,752

188

89

30.595745

0.719486

0.006259

0

0.201681

0

0.031103

0

null

0

0.058824

null

0.008403

0

null

0

null

0

1

0

1

17bc505ea926cc10e0e41a37d46dd3dde813c0d4

21,388

py

Python

pipeline2.0/lib/python/DDplan2b.py

federatedcloud/transients_pipeline2

5a919e3141c4721454584159b5d74bd17c07e377

[ "BSD-3-Clause" ]

null

pipeline2.0/lib/python/DDplan2b.py

federatedcloud/transients_pipeline2

5a919e3141c4721454584159b5d74bd17c07e377

[ "BSD-3-Clause" ]

null

pipeline2.0/lib/python/DDplan2b.py

federatedcloud/transients_pipeline2

5a919e3141c4721454584159b5d74bd17c07e377

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python import optparse import sys import numpy as np # Import matplotlib/pylab and set for non-interactive plots import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import psr_utils """ Given observation parameters and a acceptable time resolution generate a dedispersion plan. T...

44.190083

110

0.538059

2,602

21,388

4.33359

0.180246

0.022348

0.017293

0.011972

0.294697

0.234924

0.18934

0.144289

0.134356

0.106066

0

0.02532

0.350009

21,388

483

111

44.281574

0.785786

0.064896

0

0.139073

0

0.003311

0.133645

0.002705

0

null

0.003311

0.019868

null

0.043046

0

null

0

null

0

1

0

1

17bf821a794c80dab0f6aa38c3c8cf6f64a00df3

1,021

py

Python

src/clean.py

NZN/OpenGraph-Net

a64d5bb5c867aa53d6fb174c6101ff01bdd016ed

[ "Unlicense" ]

10

2015-03-12T19:11:22.000Z

2021-03-12T11:02:43.000Z

src/clean.py

NZN/OpenGraph-Net

a64d5bb5c867aa53d6fb174c6101ff01bdd016ed

[ "Unlicense" ]

null

src/clean.py

NZN/OpenGraph-Net

a64d5bb5c867aa53d6fb174c6101ff01bdd016ed

[ "Unlicense" ]

2

2018-01-15T00:36:25.000Z

2019-07-22T12:59:40.000Z

''' Created on Sep 19, 2011 @author: Geoff ''' import os import shutil def removeDir(path): print 'Removing {0}'.format(path) shutil.rmtree(path) def recurseDir(rootPath, item, action, depth=0, maxDepth = 0): dirs = [ d.lower() for d in os.listdir(rootPath) ] if item.lower() in dirs: pat...

30.029412

168

0.61998

141

1,021

4.432624

0.333333

0.0672

0.08

0.144

0.3136

0.2048

0

0.016753

0.239961

1,021

34

169

30.029412

0.78866

0

0.086957

0

0.026667

0

null

0

0.130435

null

0.043478

0

null

0

null

0

1

0

1

17c4ddf924188c412749fff26f1eda5f9989fb73

881

py

Python

ex075 - Análise de dados em uma tupla.py

marvincosmo/Python-Curso-em-Video

47ee3dd6423835e7bca159ffd7ee796423569176

[ "MIT" ]

null

ex075 - Análise de dados em uma tupla.py

marvincosmo/Python-Curso-em-Video

47ee3dd6423835e7bca159ffd7ee796423569176

[ "MIT" ]

null

ex075 - Análise de dados em uma tupla.py

marvincosmo/Python-Curso-em-Video

47ee3dd6423835e7bca159ffd7ee796423569176

[ "MIT" ]

null

""" 75 - Desenvolva um programa que leia quatro valores pelo teclado e guarde-os em uma tupla. No final, mostre: A) Quantas vezes apareceu o valor 9. B) Em que posição foi digitado o primeiro valor 3. C) Quais foram os números pares. """ n = (int(input('Digite um número: ')), int(input('Digite outro número: ')), ...

36.708333

112

0.656073

155

881

3.729032

0.43871

0.062284

0.048443

0.083045

0.179931

0

0.024251

0.204313

881

23

113

38.304348

0.800285

0.259932

0

0.111111

0

0.524845

0

1

0

false

0

0.444444

0

null

0

null

0

1

0

1

17cd5976f7f8e7d56352933cbea74b1a6b5d2f88

2,132

py

Python

code/tmp_rtrip/curses/ascii.py

emilyemorehouse/ast-and-me

3f58117512e125e1ecbe3c72f2f0d26adb80b7b3

[ "MIT" ]

24

2018-01-23T05:28:40.000Z

2021-04-13T20:52:59.000Z

code/tmp_rtrip/curses/ascii.py

emilyemorehouse/ast-and-me

3f58117512e125e1ecbe3c72f2f0d26adb80b7b3

[ "MIT" ]

17

2017-12-21T18:32:31.000Z

2018-12-18T17:09:50.000Z

code/tmp_rtrip/curses/ascii.py

emilyemorehouse/ast-and-me

3f58117512e125e1ecbe3c72f2f0d26adb80b7b3

[ "MIT" ]

null

"""Constants and membership tests for ASCII characters""" NUL = 0 SOH = 1 STX = 2 ETX = 3 EOT = 4 ENQ = 5 ACK = 6 BEL = 7 BS = 8 TAB = 9 HT = 9 LF = 10 NL = 10 VT = 11 FF = 12 CR = 13 SO = 14 SI = 15 DLE = 16 DC1 = 17 DC2 = 18 DC3 = 19 DC4 = 20 NAK = 21 SYN = 22 ETB = 23 CAN = 24 EM = 25 SUB = 26 ESC = 27 FS = 28 GS = ...

14.909091

72

0.511726

350

2,132

3.054286

0.348571

0.1029

0.06174

0.029935

0.186155

0.117867

0.072965

0

0.11193

0.300188

2,132

142

73

15.014085

0.604558

0.023921

0

0.089109

0

0.042892

0

1

0.19802

false

0

0.148515

0.445545

0.019802

0

null

0

null

0

1

0

1

17cf4ae90af73ee1ae24bf91e691b0687089ffc5

382

py

Python

Exp_4/DFS.py

shivankarora/18CSC305J_AI_Lab

e6671ba3a48c4183f1cb861d744aa20997841c1c

[ "MIT" ]

null

Exp_4/DFS.py

shivankarora/18CSC305J_AI_Lab

e6671ba3a48c4183f1cb861d744aa20997841c1c

[ "MIT" ]

null

Exp_4/DFS.py

shivankarora/18CSC305J_AI_Lab

e6671ba3a48c4183f1cb861d744aa20997841c1c

[ "MIT" ]

null

graph = { '5' : ['3','7'], '3' : ['2', '4'], '7' : ['8'], '2' : [], '4' : ['8'], '8' : [] } visited = set() def dfs(visited, graph, node): if node not in visited: print (node) visited.add(node) for neighbour in graph[node]: dfs(visited, graph, neighbour) # Drive...

17.363636

42

0.481675

49

382

3.755102

0.489796

0.163043

0.244565

0

0.04797

0.290576

382

21

43

18.190476

0.630996

0.028796

0

0.089431

0

1

0.058824

false

0

0.058824

0.117647

0

null

0

1

0

null

0

1

17cf96167628b4c170a077329854d1632c1f53db

2,860

py

Python

integration_tests/environment_loader.py

CanopySimulations/canopy-python

9ec37e674e65d6fbef0402ac0c612c163d55631e

[ "MIT" ]

null

integration_tests/environment_loader.py

CanopySimulations/canopy-python

9ec37e674e65d6fbef0402ac0c612c163d55631e

[ "MIT" ]

1

2022-01-31T10:18:08.000Z

integration_tests/environment_loader.py

CanopySimulations/canopy-python

9ec37e674e65d6fbef0402ac0c612c163d55631e

[ "MIT" ]

null

from typing import Optional import os import canopy import integration_tests import uuid import logging logger = logging.getLogger(__name__) _python_data_version = '1' class EnvironmentLoader: _data: Optional[integration_tests.EnvironmentData] = None @staticmethod async def load() -> integration_tests...

37.142857

181

0.631119

273

2,860

6.406593

0.289377

0.04574

0.037736

0.078902

0.033162

0

0.002975

0.294755

2,860

76

182

37.631579

0.864155

0

0.067797

0

0.016949

0.123776

0.051748

0

1

0

false

0.135593

0.101695

0

0.169492

0

null

0

null

0

1

0

1

17cfdbbfa2f953e12075bfcc2e49a210ae1d09c1

319

py

Python

irsdb/irsdb/local_settings.py-example.py

mjalkio/990-xml-database

2b7dabda666306cc776070755e1396cf8e30cec8

[ "BSD-2-Clause" ]

1

2021-07-07T09:27:44.000Z

irsdb/irsdb/local_settings.py-example.py

jamesdunham/990-xml-database

53e74777fa77fb109b65b4ef2abceada5d04765f

[ "BSD-2-Clause" ]

null

irsdb/irsdb/local_settings.py-example.py

jamesdunham/990-xml-database

53e74777fa77fb109b65b4ef2abceada5d04765f

[ "BSD-2-Clause" ]

null

import os # local variables read into settings.py. # variables set here will override whatever's in settings.py DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'NAME': '', 'USER': '', 'PASSWORD': '', 'HOST': '', 'PORT': '', } }

18.764706

60

0.532915

31

319

5.451613

0.903226

0.118343

0

0.004484

0.30094

319

16

61

19.9375

0.753363

0.30721

0

0.345622

0.175115

0

1

0

false

0.090909

0

0.090909

0

null

0

null

0

1

0

1

17d048703e44fb2a0deb73ee5fd79ac287e5a141

22,268

py

Python

source/oleTypes.py

marlon-sousa/nvda

83738d7d9150fb379083eb3918e9c78c78610489

[ "bzip2-1.0.6" ]

1,592

2015-11-10T12:05:44.000Z

2022-03-31T11:50:40.000Z

source/oleTypes.py

marlon-sousa/nvda

83738d7d9150fb379083eb3918e9c78c78610489

[ "bzip2-1.0.6" ]

9,479

2015-11-10T20:56:48.000Z

2022-03-31T23:51:30.000Z

source/oleTypes.py

marlon-sousa/nvda

83738d7d9150fb379083eb3918e9c78c78610489

[ "bzip2-1.0.6" ]

682

2015-11-10T11:19:23.000Z

2022-03-31T07:51:29.000Z

# typelib <unable to determine filename> _lcid = 0 # change this if required from ctypes import * WSTRING = c_wchar_p from comtypes import IUnknown LONG_PTR = c_int from comtypes import GUID from comtypes import IUnknown from ctypes import HRESULT from comtypes import helpstring from comtypes import COMMETHOD...

38.261168

119

0.634678

2,072

22,268

6.431467

0.153958

0.07324

0.015609

0.016509

0.284256

0.233754

0.16314

0.115188

0.103632

0.093351

0

0.0439

0.208236

22,268

581

120

38.327022

0.711928

0.002784

0

0.25734

0

0.13292

0.020627

0

0.127807

1

0

false

0.06563

0.027634

0

0.160622

0

null

0

null

0

1

0

1

17d322d9426a1fbd2f3003c110cc4bbd2cc5a139

11,185

py

Python

ibllib/tests/fixtures/utils.py

int-brain-lab/ibllib

93be6b98848758e05cdc9398caaf19e6a68f7386

[ "MIT" ]

38

2018-08-07T21:55:29.000Z

2022-03-21T14:49:03.000Z

ibllib/tests/fixtures/utils.py

int-brain-lab/ibllib

93be6b98848758e05cdc9398caaf19e6a68f7386

[ "MIT" ]

207

2018-07-25T15:10:48.000Z

2022-03-08T13:23:08.000Z

ibllib/tests/fixtures/utils.py

int-brain-lab/ibllib

93be6b98848758e05cdc9398caaf19e6a68f7386

[ "MIT" ]

35

2018-09-04T14:49:56.000Z

2022-01-06T21:17:51.000Z

#!/usr/bin/env python # -*- coding:utf-8 -*- # @Author: Niccolò Bonacchi # @Date: Friday, October 9th 2020, 12:02:56 pm import json from pathlib import Path def create_fake_session_folder( root_data_path, lab="fakelab", mouse="fakemouse", date="1900-01-01", num="001", increment=True ): root_data_path = Path(r...

40.821168

98

0.657309

1,440

11,185

4.738889

0.154861

0.075762

0.064039

0.07078

0.617819

0.58177

0.48476

0.404015

0.360639

0.349648

0

0.028498

0.23764

11,185

273

99

40.970696

0.770846

0.170943

0

0.365979

0

0.331719

0.286029

0

1

0.046392

false

0.087629

0.010309

0

0.087629

0.005155

0

null

0

null

0

1

0

1

17d3b9c6d474da05e694646bfe3fe8d23f73263a

1,301

py

Python

python-serv/core/cache.py

plvhx/efishery-backend-test

091a51534bc5259993debea2cb55a4f4548f3d07

[ "BSD-3-Clause" ]

null

python-serv/core/cache.py

plvhx/efishery-backend-test

091a51534bc5259993debea2cb55a4f4548f3d07

[ "BSD-3-Clause" ]

null

python-serv/core/cache.py

plvhx/efishery-backend-test

091a51534bc5259993debea2cb55a4f4548f3d07

[ "BSD-3-Clause" ]

null

import json import os import core.util as util def cache_key_exists(file, key): handler = open(file, "rb") buf = handler.read(1024) data = json.loads(buf) handler.close() try: data["data"][key] except KeyError as e: return False return True def put_cache_file(file, key...

18.585714

57

0.651038

191

1,301

4.235602

0.219895

0.077874

0.074166

0.088999

0.735476

0.709518

0.657602

0.53152

0

0.017804

0.222905

1,301

69

58

18.855072

0.782394

0

0.533333

0

0.015373

0

1

0.155556

false

0

0.066667

0.4

0

null

0

1

0

null

0

1

17ddc841455a5dca1b53b8bbb3bbe1581b46bcf4

5,349

py

Python

tests/conftest.py

opus49/py3odb

79a4abceacd124cd0c63441f65c40b41afb3216b

[ "MIT" ]

1

2019-12-12T04:42:06.000Z

tests/conftest.py

opus49/py3odb

79a4abceacd124cd0c63441f65c40b41afb3216b

[ "MIT" ]

6

2019-09-26T20:48:10.000Z

2020-11-20T02:52:07.000Z

tests/conftest.py

opus49/py3odb

79a4abceacd124cd0c63441f65c40b41afb3216b

[ "MIT" ]

1

2019-10-09T20:19:13.000Z

"""Used to share fixtures among tests.""" import pathlib import pytest from .context import py3odb from .context import main MOCK_CURSOR_DATA = { "SELECT * FROM <odb>": { "description": ( ('lat@hdr', 2, None, None, None, None, None), ('lon@hdr', 2, None, None, None, None, None), ...

31.464706

91

0.615442

634

5,349

5.015773

0.200315

0.050314

0.056604

0.050314

0.453459

0.356918

0.311635

0.273899

0.198113

0.143082

0

0.013093

0.243223

5,349

169

92

31.650888

0.77248

0.15573

0

0.184211

0

0.127693

0.010887

0

1

0.210526

false

0.008772

0.035088

0.017544

0.403509

0

null

0

null

0

1

0

1

17e0a4d24f2f3388bb1167b8be734b93b3fe1610

328

py

Python

setup.py

fathom-global/gdalutils

4f26ae3cc1b6d36b7fc7d7506594e79af90c880a

[ "BSD-3-Clause" ]

null

setup.py

fathom-global/gdalutils

4f26ae3cc1b6d36b7fc7d7506594e79af90c880a

[ "BSD-3-Clause" ]

null

setup.py

fathom-global/gdalutils

4f26ae3cc1b6d36b7fc7d7506594e79af90c880a

[ "BSD-3-Clause" ]

null

from setuptools import setup import numpy setup(name='gdalutils', version='0.1', description='GDAL utils', url='http://github.com/fathom-global/gdalutils', author='Jeison Sosa', author_email='sosa.jeison@gmail.com', license='MIT', packages=['gdalutils'], zip_safe=False, ...

23.428571

54

0.628049

38

328

5.368421

0.789474

0

0.007843

0.222561

328

13

55

25.230769

0.792157

0

0.32622

0.064024

0

1

0

true

0

0.166667

0

0.166667

0

null

0

null

0

1

0

1

17e3c6ef43c4d742c8caa38160ef603ab9463e70

463

py

Python

plataforma/migrations/0005_categoria_slug.py

SurielRuano/Orientador-Legal

a3be31d6019bcf254c3dcbbb26b4ffbbc85a9871

[ "MIT" ]

null

plataforma/migrations/0005_categoria_slug.py

SurielRuano/Orientador-Legal

a3be31d6019bcf254c3dcbbb26b4ffbbc85a9871

[ "MIT" ]

null

plataforma/migrations/0005_categoria_slug.py

SurielRuano/Orientador-Legal

a3be31d6019bcf254c3dcbbb26b4ffbbc85a9871

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2016-09-13 17:37 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('plataforma', '0004_auto_20160912_1647'), ] operations = [ migrations.AddField...

22.047619

62

0.62203

51

463

5.45098

0.843137

0

0.102339

0.261339

463

20

63

23.15

0.710526

0.142549

0

1

0

0.116751

0.058376

0

1

0

false

0

0.153846

0

0.384615

0

null

0

1

0

null

0

1

17e667e456870134405978c344f09573cfbf2c62

1,485

py

Python

community/migrations/0010_auto_20191107_1329.py

akarakoc/Communityverse

73ecf51eae3f96cca865e0d7cc526b92c8ad6b5e

[ "MIT" ]

null

community/migrations/0010_auto_20191107_1329.py

akarakoc/Communityverse

73ecf51eae3f96cca865e0d7cc526b92c8ad6b5e

[ "MIT" ]

22

2019-11-09T23:23:11.000Z

2019-12-23T09:38:29.000Z

community/migrations/0010_auto_20191107_1329.py

akarakoc/CommunityVerse

73ecf51eae3f96cca865e0d7cc526b92c8ad6b5e

[ "MIT" ]

null

# Generated by Django 2.2.6 on 2019-11-07 13:29 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('community', '0009_auto_20191107_1323'), ] operations = [ migrations.AddField( model_name='posts...

37.125

154

0.641751

150

1,485

6.22

0.346667

0.051447

0.075027

0.117899

0.484459

0.330118

0

0.027385

0.23771

1,485

39

155

38.076923

0.79682

0.030303

0

0.393939

1

0

0.197497

0.079972

0

1

0

false

0

0.060606

0

0.151515

0

null

0

1

0

null

0

1

17e80fc06ce661150909c36e9102a1f37acfe35f

255

py

Python

sfymca/feed/urls.py

streeter/sf-ymca-pools

7f3ff7d561d51158ae27b8abba05f61f4966e862

[ "MIT" ]

null

sfymca/feed/urls.py

streeter/sf-ymca-pools

7f3ff7d561d51158ae27b8abba05f61f4966e862

[ "MIT" ]

3

2021-04-08T21:05:07.000Z

2022-02-10T10:05:39.000Z

sfymca/feed/urls.py

streeter/sf-ymca-pools

7f3ff7d561d51158ae27b8abba05f61f4966e862

[ "MIT" ]

null

from django.urls import path from sfymca.feed import views urlpatterns = [ path("", views.index, name="index"), path("<branch_name>.ics", views.branch_calendar, name="branch_calendar"), path("<branch_name>/", views.branch, name="branch"), ]

25.5

77

0.690196

33

255

5.212121

0.424242

0.174419

0.162791

0

0.137255

255

9

78

28.333333

0.781818

0

0.223529

0

1

0

false

0

0.285714

0

0.285714

0

null

0

1

0

null

0

1

17ef535ff0e769a20dc859fc35bc755970389a94

623

py

Python

2015/day01.py

ardavast/AdventOfCode

2c5062e182122a08c10491a5a149286b90ae8688

[ "MIT" ]

null

2015/day01.py

ardavast/AdventOfCode

2c5062e182122a08c10491a5a149286b90ae8688

[ "MIT" ]

null

2015/day01.py

ardavast/AdventOfCode

2c5062e182122a08c10491a5a149286b90ae8688

[ "MIT" ]

null

#!/usr/bin/env python3 def part1(filename): with open(filename) as f: line = f.readline() floor = 0 for c in line: if c == '(': floor += 1 elif c == ')': floor -= 1 print(floor) def part2(filename): with open(filename) as f: line = f.read...

16.837838

37

0.454254

76

623

3.618421

0.407895

0.109091

0.101818

0.174545

0.48

0.334545

0

0.045455

0.399679

623

37

38

16.837838

0.68984

0.033708

0

0.538462

0

0.066445

0

1

0.076923

false

0

0.076923

0

null

0

1

0

null

0

1

17f03b15782a4a42ce12030377cabaa018a6e9e7

1,216

py

Python

mhp.py

pjwhitney84/MH_candy

c9fffe0a83ea9efc77f18f75dfdbe6e3561274b6

[ "Apache-2.0" ]

null

mhp.py

pjwhitney84/MH_candy

c9fffe0a83ea9efc77f18f75dfdbe6e3561274b6

[ "Apache-2.0" ]

null

mhp.py

pjwhitney84/MH_candy

c9fffe0a83ea9efc77f18f75dfdbe6e3561274b6

[ "Apache-2.0" ]

null

#!/usr/bin/env python #### #### mhp.py -- A Monty Hall simulation. First runs through and has the #### contestant never change their guess after being shown a goat. Then runs #### again to show the results if the contestant always changes their choice. #### Theory states that changing to the other door is always ...

25.333333

78

0.671053

184

1,216

4.347826

0.521739

0.03

0.04

0

0.012513

0.211349

1,216

47

79

25.87234

0.821689

0.456414

0

0.090909

0

0.003322

0

1

0

false

0.181818

0.136364

0

0.136364

0

null

0

null

0

1

0

1

17f827469816b40f1cda2a1d7117390d4570785e

705

py

Python

Codes examples in the book/chs11-15_code/opts.py

almazkun/The-Quick-Python-Book-Third-Edition

d405e45b757d53e851843aed30118949b42c2ee6

[ "Apache-2.0" ]

2

2019-05-04T12:33:09.000Z

2020-02-28T20:06:27.000Z

Codes examples in the book/chs11-15_code/opts.py

almazkun/The-Quick-Python-Book-Third-Edition

d405e45b757d53e851843aed30118949b42c2ee6

[ "Apache-2.0" ]

null

Codes examples in the book/chs11-15_code/opts.py

almazkun/The-Quick-Python-Book-Third-Edition

d405e45b757d53e851843aed30118949b42c2ee6

[ "Apache-2.0" ]

1

2020-02-28T19:33:28.000Z

from argparse import ArgumentParser def main(): parser = ArgumentParser() parser.add_argument("indent", type=int, help="indent for report") parser.add_argument("input_file", help="read data from this file") #1 parser.add_argument("-f", "--file", dest="filename", #2 help...

37.105263

74

0.6

84

705

4.940476

0.607143

0.108434

0.204819

0

0.005682

0.251064

705

18

75

39.166667

0.780303

0.004255

0

0.296137

0

1

0.066667

false

0

0.066667

0

0.133333

0

null

0

1

0

null

0

1

17f86f2d5e493c4b92d3f91834c5483f94a4ba0b

6,133

py

Python

src/video2npz/visbeat3/visbeat3/SourceLocationParser.py

wzk1015/video-bgm-generation

cf46c1babbe8f127f2f7605878d9b0aa7850f16d

[ "MIT" ]

90

2021-10-21T09:52:47.000Z

2022-03-30T14:12:05.000Z

src/video2npz/visbeat3/visbeat3/SourceLocationParser.py

wzk1015/video-bgm-generation

cf46c1babbe8f127f2f7605878d9b0aa7850f16d

[ "MIT" ]

7

2021-11-08T05:53:12.000Z

2022-02-28T12:39:02.000Z

src/video2npz/visbeat3/build/lib/visbeat3/SourceLocationParser.py

wzk1015/video-bgm-generation

cf46c1babbe8f127f2f7605878d9b0aa7850f16d

[ "MIT" ]

14

2021-11-17T05:43:28.000Z

2022-03-22T14:47:40.000Z

""" This code was a last minute hack. It works fine enough for parsing youtube urls, but I would use it for any kind of reference. Based loosely on video backends from django embed video. """ import re import requests import os import sys if sys.version_info.major == 3: import urllib.parse as urlparse else: im...

25.554167

126

0.604598

707

6,133

5.096181

0.272984

0.06217

0.049958

0.029142

0.253677

0.174577

0.155148

0.143769

0

0.002705

0.2767

6,133

240

127

25.554167

0.809513

0.203815

0

0.256198

0

0.064562

0.033955

0

1

0.173554

false

0.033058

0.049587

0.041322

0.512397

0

null

0

null

0

1

0

1

17fd699fbd2c26c621a629a9a32b72c6197772e0

1,153

py

Python

orb_simulator/parser/lr0_item.py

dmguezjaviersnet/IA-Sim-Comp-Project

8165b9546efc45f98091a3774e2dae4f45942048

[ "MIT" ]

1

2022-01-19T22:49:09.000Z

orb_simulator/parser/lr0_item.py

dmguezjaviersnet/IA-Sim-Comp-Project

8165b9546efc45f98091a3774e2dae4f45942048

[ "MIT" ]

15

2021-11-10T14:25:02.000Z

2022-02-12T19:17:11.000Z

orb_simulator/parser/lr0_item.py

dmguezjaviersnet/IA-Sim-Comp-Project

8165b9546efc45f98091a3774e2dae4f45942048

[ "MIT" ]

null

from typing import Tuple from parser.non_terminal import Non_terminal from parser.own_symbol import Symbol class Lr0_item: """docstring for Lr0_item.""" def __init__(self, head: Non_terminal, tail: Tuple[Symbol], dot: int): self.head: Non_terminal = head; self.tail: Tuple[Symbol] = tail; ...

28.825

117

0.584562

150

1,153

4.206667

0.32

0.063391

0.034865

0.060222

0

0.012594

0.311362

1,153

40

118

28.825

0.782116

0.049436

0

0.111111

0

0.04033

0.020165

0

1

0.185185

false

0

0.111111

0.074074

0.592593

0

null

0

null

0

1

0

1

aa0357dd7d6b5a7265a0066c55b3d7e8818914ac

2,628

py

Python

2015/day_08/solution_p1.py

rvaughan/AdventOfCode2017

fb9199282c0083cd0b3072c27e63ea83d866efc2

[ "MIT" ]

null

2015/day_08/solution_p1.py

rvaughan/AdventOfCode2017

fb9199282c0083cd0b3072c27e63ea83d866efc2

[ "MIT" ]

null

2015/day_08/solution_p1.py

rvaughan/AdventOfCode2017

fb9199282c0083cd0b3072c27e63ea83d866efc2

[ "MIT" ]

null

#!/usr/bin/env python """ This code holds the solution for part 1 of day 8 of the Advent of Code for 2015. """ import hashlib import sys def process_line(line): count = 0 escape = False escape_count = 0 for x in line: if escape: if x == 'x': continue ...

25.514563

112

0.527397

352

2,628

3.832386

0.369318

0.098592

0.065234

0.080059

0.22387

0.081542

0.049666

0

0.061081

0.296043

2,628

102

113

25.764706

0.668108

0.093227

0

0.264706

0

0.178344

0.049591

0

0.014706

0

null

0.014706

0.029412

null

0.058824

0

null

0

null

0

1

0

1

aa03b7e070177f20726c12909737bc6167cbbace

1,651

py

Python

esbo_etc/classes/optical_component/StrayLight.py

LukasK13/ESBO-ETC

d1db999f1670f2777c5227d79629d421f03e5393

[ "Apache-2.0" ]

null

esbo_etc/classes/optical_component/StrayLight.py

LukasK13/ESBO-ETC

d1db999f1670f2777c5227d79629d421f03e5393

[ "Apache-2.0" ]

null

esbo_etc/classes/optical_component/StrayLight.py

LukasK13/ESBO-ETC

d1db999f1670f2777c5227d79629d421f03e5393

[ "Apache-2.0" ]

null

from .AOpticalComponent import AOpticalComponent from ..IRadiant import IRadiant from ..SpectralQty import SpectralQty from ..Entry import Entry import astropy.units as u from typing import Union class StrayLight(AOpticalComponent): """ A class to model additional stray light sources e.g. zodiacal light "...

32.372549

93

0.603876

195

1,651

5.030769

0.466667

0.030581

0.03262

0

0.002655

0.315566

1,651

50

94

33.02

0.865487

0.445185

0

0.011034

0

1

0.125

false

0

0.375

0

0.625

0

null

0

null

0

1

0

1

aa0db9e08a3eb115e8b60932b1207f22e5ad922a

269

py

Python

insta_app/forms.py

DerrickOdhiambo/Instagram

ef3a27bdb8616bd786c6e7f6f10083c13d5dea1a

[ "MIT" ]

null

insta_app/forms.py

DerrickOdhiambo/Instagram

ef3a27bdb8616bd786c6e7f6f10083c13d5dea1a

[ "MIT" ]

null

insta_app/forms.py

DerrickOdhiambo/Instagram

ef3a27bdb8616bd786c6e7f6f10083c13d5dea1a

[ "MIT" ]

null

from django import forms from .models import Comment class CommentForm(forms.ModelForm): text = forms.CharField(widget=forms.Textarea( attrs={'class': 'input is-medium'}), required=False) class Meta: model = Comment fields = ['text']

22.416667

60

0.66171

31

269

5.741935

0.709677

0

0.223048

269

11

61

24.454545

0.851675

0

0.089219

0

1

0

false

0

0.25

0

0.625

0

null

0

null

0

1

0

1

aa129df1220811888132dbdb4d32e10f239871e2

767

py

Python

python3/datetime/dow1.py

jtraver/dev

c7cd2181594510a8fa27e7325566ed2d79371624

[ "MIT" ]

null

python3/datetime/dow1.py

jtraver/dev

c7cd2181594510a8fa27e7325566ed2d79371624

[ "MIT" ]

null

python3/datetime/dow1.py

jtraver/dev

c7cd2181594510a8fa27e7325566ed2d79371624

[ "MIT" ]

null

#!/usr/bin/env python3 #!/usr/bin/python # -*- coding: iso-8859-15 -*- import time import datetime now = datetime.datetime.now() print(("now = %s" % str(now))) print(now) today = datetime.datetime.today() print(("today = %s" % str(today))) print(today) dow = datetime.datetime.today().weekday() print(("dow = %s" % str...

24.741935

66

0.569752

111

767

3.936937

0.324324

0.064073

0.04119

0.05492

0.10984

0

0.098847

0.208605

767

30

67

25.566667

0.621087

0.108214

0

0.090909

0

0.082353

0

1

0

false

0

0.090909

0

0.090909

0.454545

0

null

0

null

0

1

0

1

aa16ac73752fd1fee5d6db7f775b324f280e2301

3,636

py

Python

src/trainer/gaussianAE.py

liuweiping2020/pyml

0b9a7a307b93f9313d7e1bb92b33ae330d681c73

[ "Apache-2.0" ]

null

src/trainer/gaussianAE.py

liuweiping2020/pyml

0b9a7a307b93f9313d7e1bb92b33ae330d681c73

[ "Apache-2.0" ]

null

src/trainer/gaussianAE.py

liuweiping2020/pyml

0b9a7a307b93f9313d7e1bb92b33ae330d681c73

[ "Apache-2.0" ]

null

from tensorflow.examples.tutorials.mnist import input_data from modeler.gaussianAE import GaussianAutoencoderModel from trainer.tftrainer import TFTrainer import sklearn.preprocessing as prep import numpy as np class GaussianAETrainer(TFTrainer): def __init__(self): self.training_epochs = 20 self...

39.096774

95

0.59681

413

3,636

5.070218

0.249395

0.033429

0.0468

0.060172

0.284145

0.234957

0.186246

0.122732

0.080707

0

0.007191

0.311606

3,636

92

96

39.521739

0.829405

0.013201

0

0.140845

0

0.013668

0

1

0.183099

false

0.056338

0.070423

0.394366

0.028169

0

null

0

null

0

1

0

1

aa1d9a885e21ba93d19245c4cfcf3f9295b25943

448

py

Python

auth.example.py

lytedev/google_music_analytics

234ed11c47b46cc5dc889c515c88f061110bce6b

[ "MIT" ]

null

auth.example.py

lytedev/google_music_analytics

234ed11c47b46cc5dc889c515c88f061110bce6b

[ "MIT" ]

null

auth.example.py

lytedev/google_music_analytics

234ed11c47b46cc5dc889c515c88f061110bce6b

[ "MIT" ]

null

from gmusicapi import Mobileclient default_email = "your@gmail.com" default_password = "app specific password" # See https://security.google.com/settings/security/apppasswords def get_authed_api(username = "", password = ""): if username == "": username = default_email if password == "": passw...

24.888889

64

0.683036

50

448

6

0.56

0.08

0

0.212054

448

17

65

26.352941

0.849858

0.138393

0

0.091384

0

1

0.083333

false

0.416667

0.083333

0

0.333333

0

null

0

null

0

1

0

1

aa227ce3d6352532a5a45ab1ed99fb3f81a9bd78

815

py

Python

learning/base-language/calling-python-scripts/args.py

gerryw1389/python

74fedaf2034769f2865659f14d332026b9aaede3

[ "MIT" ]

2

2020-12-01T17:29:09.000Z

2020-12-13T02:54:43.000Z

learning/base-language/calling-python-scripts/args.py

gerryw1389/python

74fedaf2034769f2865659f14d332026b9aaede3

[ "MIT" ]

4

2020-12-26T15:08:02.000Z

2021-05-16T13:19:33.000Z

learning/base-language/calling-python-scripts/args.py

gerryw1389/python

74fedaf2034769f2865659f14d332026b9aaede3

[ "MIT" ]

null

#!/usr/bin/env python3 ################################################################ # Script Arguments # sys.argv is list of arguments passed to the script # sys.argv[0] is by default the path of script # and user defined arguments start with index 1 ################################################################...

30.185185

64

0.593865

115

815

4.208696

0.478261

0.115702

0.103306

0.11157

0.177686

0

0.019802

0.132515

815

26

65

31.346154

0.664781

0.409816

0

0.379009

0

1

0

false

0

0.125

0

0.125

0.75

0

null

0

null

0

1

0

1

aa2467dd623c826c0755be5df7ead9ae0390d816

12,183

py

Python

kingpin/config_utils/__init__.py

fakeNetflix/pinterest-repo-kingpin

baea08ae941a4e57edb9129658fe3e7d40e4d0c3

[ "Apache-2.0" ]

76

2016-01-27T21:16:53.000Z

2021-09-23T02:23:49.000Z

kingpin/config_utils/__init__.py

fakeNetflix/pinterest-repo-kingpin

baea08ae941a4e57edb9129658fe3e7d40e4d0c3

[ "Apache-2.0" ]

2

2016-02-26T02:37:46.000Z

2018-02-23T09:03:41.000Z

kingpin/config_utils/__init__.py

fakeNetflix/pinterest-repo-kingpin

baea08ae941a4e57edb9129658fe3e7d40e4d0c3

[ "Apache-2.0" ]

22

2016-01-27T21:16:58.000Z

2020-12-24T11:26:01.000Z

#!/usr/bin/python # # Copyright 2016 Pinterest, Inc # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or...

45.629213

141

0.66642

1,732

12,183

4.479215

0.196305

0.027069

0.029389

0.304976

0.215262

0.189869

0.176592

0.156226

0.124001

0

0.01235

0.262251

12,183

266

142

45.800752

0.850801

0.101125

0

0.162162

0

0.009009

0.085025

0

0.009009

0

null

0

0.054054

null

0.009009

0

null

0

null

0

1

0

1

aa29fe0ae7a956f9593192280d917bbd66e6fba9

174

py

Python

algorithm_collection/search/linear_search_with_sentinel.py

nocotan/algorithm_collection

c55460416cb935998aac9e56108ed4fa5afa8880

[ "Apache-2.0" ]

2

2021-03-19T13:15:06.000Z

2021-06-15T12:18:12.000Z

algorithm_collection/search/linear_search_with_sentinel.py

nocotan/algorithm_collection

c55460416cb935998aac9e56108ed4fa5afa8880

[ "Apache-2.0" ]

4

2021-03-09T15:34:20.000Z

2021-03-16T12:33:44.000Z

algorithm_collection/search/linear_search_with_sentinel.py

nocotan/algorithm_collection_py

c55460416cb935998aac9e56108ed4fa5afa8880

[ "Apache-2.0" ]

null

def linear_search_with_sentinel(arr, key): i = 0 arr.append(key) while arr[i] != key: i += 1 if i == len(arr) - 1: return -1 return i

13.384615

42

0.505747

27

174

3.148148

0.555556

0.094118

0

0.036364

0.367816

174

12

43

14.5

0.736364

0

1

0.125

false

0

0.375

0

1

0

null

0

null

0

1

aa2eb78e951555f88d21572b1ea3a29b4ff6c75c

436

py

Python

22. Generate Parentheses.py

RayHHe/LeetCode

f1f522954f129d1fccb86a41c08ec387c4aaa2c9

[ "MIT" ]

null

22. Generate Parentheses.py

RayHHe/LeetCode

f1f522954f129d1fccb86a41c08ec387c4aaa2c9

[ "MIT" ]

null

22. Generate Parentheses.py

RayHHe/LeetCode

f1f522954f129d1fccb86a41c08ec387c4aaa2c9

[ "MIT" ]

null

# No.1/2019-06-10/68 ms/13.3 MB class Solution: def generateParenthesis(self, n: int) -> List[str]: l=['()'] if n==0: return [] for i in range(1,n): newl=[] for string in l: for index in range(len(string)//2+1): temp=string[:index]...

29.066667

59

0.465596

60

436

3.383333

0.583333

0.068966

0

0.067416

0.387615

436

14

60

31.142857

0.692884

0.066514

0

1

0

0.009877

0

1

0.083333

false

0

0.25

0

null

0

1

0

null

0

1

aa2f5b177b88f9c709759dcb9358c21ad2a4cce5

3,269

py

Python

task_lesson/api/authorization/test_get_session.py

LifeLaboratory/Task_platform_backend

5b2464c181f85db9a77da42c73634507f930c1d7

[ "MIT" ]

null

task_lesson/api/authorization/test_get_session.py

LifeLaboratory/Task_platform_backend

5b2464c181f85db9a77da42c73634507f930c1d7

[ "MIT" ]

null

task_lesson/api/authorization/test_get_session.py

LifeLaboratory/Task_platform_backend

5b2464c181f85db9a77da42c73634507f930c1d7

[ "MIT" ]

null

import json import unittest as ut import api.authorization.authorization as gt import api.helpers.names as names import requests # from django.test import TestCase class TestGetSession(ut.TestCase): def setUp(self): self.response = { names.ANSWER: None, names.SESSION: None, ...

28.675439

71

0.639339

368

3,269

5.475543

0.1875

0.096774

0.029777

0.053598

0.61737

0.558809

0.544913

0.455087

0

0.004632

0.273478

3,269

113

72

28.929204

0.843789

0.051392

0

0.439024

0

0.047188

0

0.04878

1

0.146341

false

0.073171

0.060976

0.036585

0.304878

0

null

0

null

0

1

0

1

aa33319018384f334589599af6017a166e833527

295

py

Python

python/sum_triangle.py

RitvizRanjan/data-structures-2021

c245c1428e46b9cdb263cc4615fa896320387204

[ "MIT" ]

7

2021-10-03T06:17:23.000Z

2021-10-04T16:33:20.000Z

python/sum_triangle.py

RitvizRanjan/data-structures-2021

c245c1428e46b9cdb263cc4615fa896320387204

[ "MIT" ]

8

2021-10-01T17:35:20.000Z

2021-10-22T04:42:16.000Z

python/sum_triangle.py

RitvizRanjan/data-structures-2021

c245c1428e46b9cdb263cc4615fa896320387204

[ "MIT" ]

20

2021-10-01T16:44:26.000Z

2021-10-31T12:30:09.000Z

#function start def sumtriangle(n): if n == 1: return 1 else: return n+(sumtriangle(n-1)) #recursive function #function end n = int(input("Enter number :")) while (n!= -1): #loop start print(sumtriangle(n)) n = int(input("Enter number :")) print("Finished")

16.388889

55

0.6

40

295

4.425

0.475

0.20339

0.101695

0.158192

0.225989

0

0.017857

0.240678

295

17

56

17.352941

0.772321

0.183051

0

0.2

0

0.151899

0

1

0.1

false

0

0.3

0.2

0

null

1

0

null

0

1

aa33cb912234d3e8cd3d8e0ee57d934bc57c018f

2,047

py

Python

tests/test_classifier.py

UBC-MDS/simplefit

ba022b38a4479efe11261a292bacfa4bf441a5fa

[ "MIT" ]

null

tests/test_classifier.py

UBC-MDS/simplefit

ba022b38a4479efe11261a292bacfa4bf441a5fa

[ "MIT" ]

41

2022-01-13T05:36:48.000Z

2022-03-06T08:56:12.000Z

tests/test_classifier.py

UBC-MDS/simplefit

ba022b38a4479efe11261a292bacfa4bf441a5fa

[ "MIT" ]

3

2022-01-13T05:19:09.000Z

2022-03-07T03:20:38.000Z

from simplefit.classifier import classifier import pandas as pd import pytest from pytest import raises from sklearn.model_selection import train_test_split def test_classifier(): """Testing classifier function""" income_df = pd.read_csv("tests/data/adult.csv") train_df, test_df = train_test_split(income_...

49.926829

173

0.705423

268

2,047

5.190299

0.313433

0.034508

0.051761

0.071891

0.396837

0.367362

0.342919

0.294033

0

0.046346

0.177821

2,047

40

174

51.175

0.780154

0.023937

0

0.2

0

0.215903

0

0.233333

1

0.066667

false

0.1

0.166667

0

0.233333

0

null

0

null

0

1

0

1

aa42f5ef96b94596bdca473cf6ef3f7ff38e00e3

6,470

py

Python

colab_demo/copia_di_lasaft_with_gpocm_stella_jang_example.py

loretoparisi/Conditioned-Source-Separation-LaSAFT

366b92b601f324a5937fb902d3cd123a0980c9b8

[ "MIT" ]

3

2021-01-07T11:53:29.000Z

2021-04-29T23:43:46.000Z

colab_demo/copia_di_lasaft_with_gpocm_stella_jang_example.py

loretoparisi/Conditioned-Source-Separation-LaSAFT

366b92b601f324a5937fb902d3cd123a0980c9b8

[ "MIT" ]

null

colab_demo/copia_di_lasaft_with_gpocm_stella_jang_example.py

loretoparisi/Conditioned-Source-Separation-LaSAFT

366b92b601f324a5937fb902d3cd123a0980c9b8

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Copia di LaSAFT with GPoCM - Stella Jang Example Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1uNpdkVqcMM3nLKnwahyb7xPNzBJtxmXP # LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation ...

28.253275

161

0.692427

889

6,470

4.922385

0.31946

0.015996

0.020567

0.021709

0.489031

0.430073

0.406764

0

0.021864

0.137558

6,470

229

162

28.253275

0.762366

0.196445

0

0.427586

1

0.02069

0.322671

0.02479

0

1

0.013793

false

0

0.082759

0

0.096552

0.068966

0

null

0

1

0

null

0

1

aa46ec4bc236f25968a7fc875a0d10e96ffa369d

789

py

Python

0x0F-python-object_relational_mapping/13-model_state_delete_a.py

ricardo1470/holbertonschool-higher_level_programming

aab73c8efee665b0215958ee7b338871f13634bc

[ "CNRI-Python" ]

null

0x0F-python-object_relational_mapping/13-model_state_delete_a.py

ricardo1470/holbertonschool-higher_level_programming

aab73c8efee665b0215958ee7b338871f13634bc

[ "CNRI-Python" ]

null

0x0F-python-object_relational_mapping/13-model_state_delete_a.py

ricardo1470/holbertonschool-higher_level_programming

aab73c8efee665b0215958ee7b338871f13634bc

[ "CNRI-Python" ]

null

#!/usr/bin/python3 """ script that deletes all State objects with a name containing the letter a from the database hbtn_0e_6_usa """ if __name__ == "__main__": from sys import argv from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from model_state import Base fro...

27.206897

63

0.642586

100

789

4.83

0.57

0.057971

0.082816

0

0.010221

0.25602

789

28

64

28.178571

0.812606

0.157161

0

0.066154

0.052308

0

1

0

false

0.111111

0.277778

0

0.277778

0

null

0

null

0

1

0

1

aa48da4f4f5f8f269f1b34d02bfb6d3344621c35

720

py

Python

models/appointments.py

mrfade/university-appointment-system-backend

63bb04af0d6b7575cead9bdc8c69c5ed298ad4f5

[ "MIT" ]

null

models/appointments.py

mrfade/university-appointment-system-backend

63bb04af0d6b7575cead9bdc8c69c5ed298ad4f5

[ "MIT" ]

null

models/appointments.py

mrfade/university-appointment-system-backend

63bb04af0d6b7575cead9bdc8c69c5ed298ad4f5

[ "MIT" ]

null

from app import db class Appointment(db.Model): __tablename__ = 'appointment' id = db.Column(db.Integer, primary_key=True) start = db.Column(db.DateTime, nullable=False) end = db.Column(db.DateTime, nullable=False) description = db.Column(db.String(1000, collation='utf8_general_ci'), ...

36

77

0.619444

86

720

5.023256

0.44186

0.12963

0.162037

0.083333

0.331019

0.287037

0.143519

0

0.009328

0.255556

720

19

78

37.894737

0.796642

0

0.133333

0

0.073611

0

1

0.066667

false

0

0.066667

0.8

0

null

0

null

0

1

0

1

a4ad7119d5377320572b67130f8e7254f69a2d00

27,918

py

Python

alignment.py

laserson/vdj

7ff5efa1e990cd6cc77a986849f4b32731b46a10

[ "Apache-2.0" ]

6

2015-02-13T06:50:09.000Z

2020-03-06T02:01:40.000Z

alignment.py

laserson/vdj

7ff5efa1e990cd6cc77a986849f4b32731b46a10

[ "Apache-2.0" ]

2

2015-02-25T08:53:12.000Z

2015-02-27T22:14:24.000Z

alignment.py

churchlab/vdj

7ff5efa1e990cd6cc77a986849f4b32731b46a10

[ "Apache-2.0" ]

5

2015-10-14T11:35:08.000Z

2020-03-06T02:03:24.000Z

# Copyright 2014 Uri Laserson # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...

40.343931

202

0.60058

3,129

27,918

5.216043

0.170981

0.02941

0.014705

0.009926

0.379634

0.325532

0.265547

0.233258

0.231849

0.205257

0

0.021461

0.299019

27,918

691

203

40.402315

0.812519

0.139372

0

0.287736

0

0.043387

0.00189

0

0.002358

0

null

0.009434

0.023585

null

0.002358

0

null

0

null

0

1

0

1

a4b2acc29c58d00dd9a75b28992c43a3b1b49f06

730

py

Python

2015/day14.py

iKevinY/advent

d160fb711a0a4d671f53cbd61088117e7ff0276a

[ "MIT" ]

11

2019-12-03T06:32:37.000Z

2021-12-24T12:23:57.000Z

2015/day14.py

iKevinY/advent

d160fb711a0a4d671f53cbd61088117e7ff0276a

[ "MIT" ]

null

2015/day14.py

iKevinY/advent

d160fb711a0a4d671f53cbd61088117e7ff0276a

[ "MIT" ]

1

2019-12-07T06:21:31.000Z

import fileinput import re def fly(time, speed, fly_for, rest_for): cycle = fly_for + rest_for return speed * ( ((time // cycle) * fly_for) + # flying time * full cycles completed min(fly_for, time % cycle) # remaining incomplete flying time ) TOTAL_TIME = 2503 reindeer = [[int(n) fo...

27.037037

85

0.630137

110

730

4.1

0.418182

0.053215

0.044346

0.05765

0.066519

0

0.01444

0.241096

730

26

86

28.076923

0.799639

0.093151

0

0.083587

0

null

0

0.111111

null

0.111111

0

null

0

null

0

1

0

1

a4b42cbf1dc9d4406c45c43883763a38efd89ee0

3,567

py

Python

NetworkScanners/ExitAuthority/soatstats.py

isislovecruft/torflow

666689ad18d358d764a35d041a7b16adb8d3287c

[ "BSD-3-Clause" ]

null

NetworkScanners/ExitAuthority/soatstats.py

isislovecruft/torflow

666689ad18d358d764a35d041a7b16adb8d3287c

[ "BSD-3-Clause" ]

1

2018-12-18T15:58:40.000Z

2018-12-26T16:52:51.000Z

NetworkScanners/ExitAuthority/soatstats.py

isislovecruft/torflow

666689ad18d358d764a35d041a7b16adb8d3287c

[ "BSD-3-Clause" ]

null

#!/usr/bin/python # # 2008 Aleksei Gorny, mentored by Mike Perry import dircache import operator import os import pickle import sys import time if sys.version_info < (2, 5): from sets import Set as set import libsoat from libsoat import * sys.path.append("../../") try: from TorCtl.TorUtil import * except Im...

29

136

0.670592

487

3,567

4.691992

0.238193

0.042013

0.045952

0.02407

0.372429

0.286652

0.228446

0.164551

0.093654

0

0.008042

0.198206

3,567

122

137

29.237705

0.790909

0.162882

0

0.047619

0

0.040713

0.008748

0

null

0

0.142857

null

0.095238

0

null

0

null

0

1

0

1

a4b55c2a52ff79a1f2a3abdae64d2467cad8c730

6,754

py

Python

wicon/common.py

Wudan07/wIcon

9189b7029759a22371827426b5342b6dc976f1b2

[ "MIT" ]

null

wicon/common.py

Wudan07/wIcon

9189b7029759a22371827426b5342b6dc976f1b2

[ "MIT" ]

null

wicon/common.py

Wudan07/wIcon

9189b7029759a22371827426b5342b6dc976f1b2

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2015 Brad Newbold (wudan07 [at] gmail.com) # See LICENSE for details. # common.py # """wIcon library: Common functions """ import math import random #import time from PIL import Image, PngImagePlugin, JpegImagePlugin #from selection import selection_get #from selection import S...

18.761111

80

0.660646

1,018

6,754

4.290766

0.168959

0.034341

0.029762

0.029304

0.375

0.306319

0.273581

0.247024

0.21543

0

0.009311

0.204916

6,754

359

81

18.81337

0.804097

0.230678

0

0.359477

0

0.013673

0

null

0

0.019608

null

0.013072

0

null

0

null

0

1

0

1

a4bab1175d0b65483e08f54721cf396ef16b8852

1,029

py

Python

dojo/unittests/test_bugcrowd_parser.py

everable/django-DefectDojo

1548982c1f197f3f702162846d314b16bb687c78

[ "BSD-3-Clause" ]

3

2020-10-27T08:58:03.000Z

2021-04-28T14:20:16.000Z

dojo/unittests/test_bugcrowd_parser.py

everable/django-DefectDojo

1548982c1f197f3f702162846d314b16bb687c78

[ "BSD-3-Clause" ]

173

2020-12-17T20:29:09.000Z

2022-03-23T12:54:32.000Z

dojo/unittests/test_bugcrowd_parser.py

everable/django-DefectDojo

1548982c1f197f3f702162846d314b16bb687c78

[ "BSD-3-Clause" ]

2

2022-02-07T09:57:28.000Z

2022-03-11T08:42:59.000Z

from django.test import TestCase from dojo.tools.bugcrowd.parser import BugCrowdCSVParser from dojo.models import Test class TestBugCrowdParser(TestCase): def test_parse_without_file_has_no_findings(self): parser = BugCrowdCSVParser(None, Test()) self.assertEqual(0, len(parser.items)) def te...

39.576923

74

0.737609

129

1,029

5.651163

0.310078

0.038409

0.065844

0.069959

0.61454

0.422497

0.30727

0.148148

0

0.00463

0.16035

1,029

25

75

41.16

0.83912

0

0.263158

0

0.136054

0

0.210526

1

0.210526

false

0

0.157895

0

0.421053

0

null

0

null

0

1

0

1

a4bc55d76d4e61852dfc13821159ff32cca0b380

28,608

py

Python

renderSDK/CG/cg_houdini/HfsBase.py

xialialia/renderSDK

49067ce6c93ae9f5072fbb82b3d4301a34b1535d

[ "Apache-2.0" ]

2

2020-02-12T09:57:46.000Z

2020-04-03T07:40:07.000Z

renderSDK/CG/cg_houdini/HfsBase.py

xialialia/renderSDK

49067ce6c93ae9f5072fbb82b3d4301a34b1535d

[ "Apache-2.0" ]

null

renderSDK/CG/cg_houdini/HfsBase.py

xialialia/renderSDK

49067ce6c93ae9f5072fbb82b3d4301a34b1535d

[ "Apache-2.0" ]

1

2020-02-14T09:09:23.000Z

#!/usr/bin/env python ## create by shen,2018.06.22 import os,sys,time import subprocess import argparse import HfsSql import re,json import hou class HfsBase(): runcode = True runend = False def __init__(self,args): self._args = args self._ext = [".py",".hda"] self.sequence_type_lis...

42.890555

148

0.473049

3,175

28,608

4.065197

0.108976

0.010847

0.015108

0.019757

0.442551

0.371194

0.310607

0.268459

0.244131

0.224142

0

0.019093

0.399504

28,608

667

149

42.890555

0.732231

0.056802

0

0.332746

0

0.074305

0

0.001761

0

null

0.010563

null

0.091549

0

null

0

null

0

1

0

1

a4c0a4b3b8560c7a21a13824158904308bd4680c

532

py

Python

tests/home/test_non_unique_elements.py

roman-kachanovsky/checkio

3134cbc04ed56e92006d1e2f09d7365e900953db

[ "BSD-3-Clause" ]

1

2017-02-07T19:50:52.000Z

tests/home/test_non_unique_elements.py

roman-kachanovsky/checkio-python

3134cbc04ed56e92006d1e2f09d7365e900953db

[ "BSD-3-Clause" ]

null

tests/home/test_non_unique_elements.py

roman-kachanovsky/checkio-python

3134cbc04ed56e92006d1e2f09d7365e900953db

[ "BSD-3-Clause" ]

null

import unittest from solutions.home.non_unique_elements import my_solution class TestSolution(unittest.TestCase): def test_solution(self): self.assertIsInstance(my_solution([1]), list) self.assertEqual(my_solution([1, 2, 3, 1, 3]), [1, 3, 1, 3]) self.assertEqual(my_solution([1, 2, 3, 4, ...

29.555556

80

0.62406

81

532

3.876543

0.37037

0.057325

0.076433

0.089172

0.442675

0.210191

0.031847

0

0.098824

0.201128

532

17

81

31.294118

0.64

0

0.016917

0

0.454545

1

0.090909

false

0

0.181818

0

0.363636

0

null

0

null

0

1

0

1

a4c83143b71d1c5c21dabe9b36bd5aeb95f4c123

1,890

py

Python

expertise/questionnaire.py

spacelis/pygeoexpertise

a622a93e4eaea9b586ae5195f14ac322acc159e2

[ "MIT", "Unlicense" ]

null

expertise/questionnaire.py

spacelis/pygeoexpertise

a622a93e4eaea9b586ae5195f14ac322acc159e2

[ "MIT", "Unlicense" ]

null

expertise/questionnaire.py

spacelis/pygeoexpertise

a622a93e4eaea9b586ae5195f14ac322acc159e2

[ "MIT", "Unlicense" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ File: questionnaire.py Author: SpaceLis Email: Wen.Li@tudelft.nl Github: none Description: Make data for questionnaires """ import sys import json import logging import pandas as pd def merge_expertise(expertise_file, ranking_file): """ Merge estimated expert...

28.208955

84

0.613228

242

1,890

4.615702

0.446281

0.021486

0.019696

0.032229

0.137869

0

0.004972

0.255026

1,890

66

85

28.636364

0.788352

0.267196

0

0.168992

0

0.030303

0

1

0.103448

false

0

0.137931

0

0.310345

0

null

0

null

0

1

0

1

a4d16983277e28236f3f5d2decef14054d58ded5

815

py

Python

masterserver/server_list_parser.py

TheAssassin/python-masterserver

8a6f5168bd5374ff047cb2a8c67299a2a1a4fc7b

[ "MIT" ]

null

masterserver/server_list_parser.py

TheAssassin/python-masterserver

8a6f5168bd5374ff047cb2a8c67299a2a1a4fc7b

[ "MIT" ]

null

masterserver/server_list_parser.py

TheAssassin/python-masterserver

8a6f5168bd5374ff047cb2a8c67299a2a1a4fc7b

[ "MIT" ]

1

2020-12-18T15:17:15.000Z

import re from .red_eclipse_server import RedEclipseServer import typing if typing.TYPE_CHECKING: from .remote_master_server import RemoteMasterServer class ServerListParser: def __init__(self, remote_master_server: "RemoteMasterServer"): self._remote_master_server = remote_master_server def p...

27.166667

115

0.626994

92

815

5.315217

0.478261

0.147239

0.220859

0.134969

0

0.011147

0.229448

815

29

116

28.103448

0.767516

0

0.170552

0

1

0.105263

false

0

0.210526

0

0.473684

0

null

0

1

0

null

0

1

a4d40a6ad6f881f8dd1450faccc1a84c3e90f24c

399

py

Python

ecommerce/migrations/0009_auto_20200909_1412.py

evanezcent/Django-Training

bc78210a49339903b1ef1d9b3bf8158321146273

[ "MIT" ]

1

2020-11-26T00:48:34.000Z

ecommerce/migrations/0009_auto_20200909_1412.py

evanezcent/Django-Training

bc78210a49339903b1ef1d9b3bf8158321146273

[ "MIT" ]

null

ecommerce/migrations/0009_auto_20200909_1412.py

evanezcent/Django-Training

bc78210a49339903b1ef1d9b3bf8158321146273

[ "MIT" ]

null

# Generated by Django 3.1 on 2020-09-09 07:12 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('ecommerce', '0008_auto_20200908_1545'), ] operations = [ migrations.AlterField( model_name='user', name='img_url', ...

21

64

0.601504

44

399

5.318182

0.818182

0

0.10453

0.280702

399

18

65

22.166667

0.710801

0.107769

0

1

0

0.132768

0.064972

0

1

0

false

0

0.083333

0

0.333333

0

null

0

1

0

null

0

1

a4d5be1abd6d71a42b9ccc116cec9ee4bf116ec8

1,887

py

Python

module/scene.py

rdcklinux/cocos2dx-console

5e26004c08be99426541cbe13ebab6b89d7681cd

[ "MIT" ]

null

module/scene.py

rdcklinux/cocos2dx-console

5e26004c08be99426541cbe13ebab6b89d7681cd

[ "MIT" ]

null

module/scene.py

rdcklinux/cocos2dx-console

5e26004c08be99426541cbe13ebab6b89d7681cd

[ "MIT" ]

null

__author__ = 'Roderick Lagunas' from interface.command import CommandInterface from common import command class Create(CommandInterface): name = None odir = '.' def __init__(self): pass def main(self, args): try: self.name = args['name'] except KeyError: ...

24.506494

94

0.529942

211

1,887

4.682464

0.402844

0.05668

0.080972

0.063765

0.054656

0

0.001584

0.330684

1,887

76

95

24.828947

0.780681

0

0.25

0

0.222104

0

null

0.038462

0.057692

null

0.057692

0

null

0

null

0

1

0

1

a4d8c51c17a2c19423340a1cc18b0e0bf5bdc483

1,385

py

Python

dataset/transform.py

beichendexiatian/InstanceFusion

cd48e3f477595a48d845ce01302f564b6b3fc6f6

[ "Apache-2.0" ]

null

dataset/transform.py

beichendexiatian/InstanceFusion

cd48e3f477595a48d845ce01302f564b6b3fc6f6

[ "Apache-2.0" ]

null

dataset/transform.py

beichendexiatian/InstanceFusion

cd48e3f477595a48d845ce01302f564b6b3fc6f6

[ "Apache-2.0" ]

null

import os import glob import shutil Path_to_Dataset = "/home/jun/Desktop/dataset/scene_09" images = glob.glob(os.path.join(Path_to_Dataset, "*.png")) # images类型是list，每一个元素都存储的是图片的完整路径 images.sort() picPath = images[0].split('/') picPath = picPath[:-1] folderPath = '' for s in picPath: folderPath = folderPath + s +...

30.108696

92

0.577617

182

1,385

4.269231

0.324176

0.084942

0.184041

0.07722

0.355212

0.290862

0.223938

0

0.027933

0.224549

1,385

45

93

30.777778

0.695531

0.222383

0

0.114286

0

0.106942

0.031895

0

1

0

false

0

0.085714

0

0.085714

0

null

0

1

0

null

0

1

a4db3e4c4b19bcdbc120752574ca34fc258a546a

924

py

Python

blog/controllers/web_funcs.py

tzakrajs/blog

b46c6c33f91daade670a2ba7250ac0b28a77daf2

[ "Apache-2.0" ]

1

2015-03-17T02:51:27.000Z

blog/controllers/web_funcs.py

tzakrajs/blog

b46c6c33f91daade670a2ba7250ac0b28a77daf2

[ "Apache-2.0" ]

null

blog/controllers/web_funcs.py

tzakrajs/blog

b46c6c33f91daade670a2ba7250ac0b28a77daf2

[ "Apache-2.0" ]

null

from blog.models.auth import Auth from blog.models.feature import Feature from bottle import request, template import logging log = logging.getLogger('blog') def blog_template(template_file, **kwargs): auth = Auth() sid = request.get_cookie('SID') try: if sid: session_data = auth.get_s...

33

75

0.624459

110

924

5.163636

0.445455

0.052817

0.049296

0.091549

0

0.232684

924

27

76

34.222222

0.801128

0

0.106061

0

null

0

0.16

null

0

null

0

null

0

1

0

1

a4db4d0788c530958eb928259e78db98d03af8a7

1,993

py

Python

features/data_cleaning.py

SunnyMarkLiu/Kaggle_NYC_Taxi_Trip_Duration

eca7f44bc3bf1af0690305b45858359adac617b4

[ "MIT" ]

1

2017-09-18T07:37:54.000Z

features/data_cleaning.py

SunnyMarkLiu/Kaggle_NYC_Taxi_Trip_Duration

eca7f44bc3bf1af0690305b45858359adac617b4

[ "MIT" ]

null

features/data_cleaning.py

SunnyMarkLiu/Kaggle_NYC_Taxi_Trip_Duration

eca7f44bc3bf1af0690305b45858359adac617b4

[ "MIT" ]

null

#!/usr/local/miniconda2/bin/python # _*_ coding: utf-8 _*_ """ @author: MarkLiu @time : 17-8-10 上午11:21 """ import os import sys module_path = os.path.abspath(os.path.join('..')) sys.path.append(module_path) import numpy as np from utils import data_utils # remove warnings import warnings warnings.filterwarnings(...

34.362069

98

0.684395

269

1,993

4.847584

0.375465

0.06135

0.089724

0.124233

0.259202

0.167178

0.133436

0.07362

0

0.025044

0.138485

1,993

57

99

34.964912

0.734421

0.112393

0

0.058824

0

0.309982

0.04028

0

null

0.029412

0.176471

null

0.235294

0

null

0

null

0

1

0

1

a4e7f8a3ee3be995c771e072c31835a01a587fab

3,355

py

Python

bst.py

kentsommer/bst-amortized-analysis

4b3880c14f271dd6370752525e7ba31d7f4c7aa6

[ "MIT" ]

null

bst.py

kentsommer/bst-amortized-analysis

4b3880c14f271dd6370752525e7ba31d7f4c7aa6

[ "MIT" ]

null

bst.py

kentsommer/bst-amortized-analysis

4b3880c14f271dd6370752525e7ba31d7f4c7aa6

[ "MIT" ]

null

import random from tabulate import tabulate class Node: # Parent pointer used for easier in-order traversal function def __init__(self, value, parent=None): self.value = value self.left = None self.right = None self.parent = parent class BST: def __init__(self): s...

29.429825

98

0.592548

425

3,355

4.607059

0.275294

0.030644

0.024515

0.022472

0.026558

0

0.020732

0.324292

3,355

113

99

29.690265

0.842964

0.227124

0

0.219512

0

0.023283

0

null

0

0.02439

null

0.012195

0

null

0

null

0

1

0

1

a4ed64dd1f32f144f272141bb7cf7509f4daa0c4

1,579

py

Python

ooobuild/lo/graphic/graphic.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/lo/graphic/graphic.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/lo/graphic/graphic.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

# coding: utf-8 # # Copyright 2022 :Barry-Thomas-Paul: Moss # # 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 applicab...

36.72093

249

0.759341

231

1,579

5.034632

0.562771

0.051591

0.025795

0.043852

0.037833

0

0.025191

0.170361

1,579

42

250

37.595238

0.862595

0.718809

0

0.159794

0.072165

0

1

0

false

0

0.285714

0

0.857143

0

null

0

null

0

1

0

1

a4ee0794c15e8a09ef2ffe7d9efa8572c4c0d16e

3,677

py

Python

web_messaging/blueprints/user/views.py

Pierre-Alexandre35/messaging-service-mousset

820b648a705810b6d67b3144c139ee6b0d0b8708

[ "MIT" ]

null

web_messaging/blueprints/user/views.py

Pierre-Alexandre35/messaging-service-mousset

820b648a705810b6d67b3144c139ee6b0d0b8708

[ "MIT" ]

null

web_messaging/blueprints/user/views.py

Pierre-Alexandre35/messaging-service-mousset

820b648a705810b6d67b3144c139ee6b0d0b8708

[ "MIT" ]

null

import sys from urllib.parse import urljoin, urlparse from flask import Blueprint, abort, redirect, render_template, request, url_for from flask_login import current_user, login_required, login_user, logout_user from config.settings import users_collection from web_messaging.blueprints.user.models import Anonymous, U...

32.539823

79

0.604841

451

3,677

4.762749

0.303769

0.061453

0.037244

0.023277

0.024209

0

0.002216

0.26353

3,677

112

80

32.830357

0.79099

0.087027

0

0.02381

0

0.112757

0

1

0.095238

false

0.095238

0.083333

0.011905

0.345238

0.107143

0

null

0

null

0

1

0

1

a4f31e4b26277948e1ae8d2e8aa2aa7143740c9c

401

py

Python

ClientePY.py

G2000G/webService-java

191f9285c162b5a801fad4eb5c923e96bd36f298

[ "Apache-2.0" ]

null

ClientePY.py

G2000G/webService-java

191f9285c162b5a801fad4eb5c923e96bd36f298

[ "Apache-2.0" ]

null

ClientePY.py

G2000G/webService-java

191f9285c162b5a801fad4eb5c923e96bd36f298

[ "Apache-2.0" ]

null

from suds.client import Client url = "http://localhost:13000/conversor?wsdl" client = Client(url) tipo = int(input("Bem-vindo ao Conversor de Temperaturas, digite: \n1 para converter de Celsius para Kelvin: \n2 para converter de Kelvin para Celsius:\n>>> ")) temp = int(input("Digite a temperatura que deseja conve...

44.555556

161

0.735661

57

401

5.175439

0.596491

0.061017

0.101695

0

0.020231

0.137157

401

8

162

50.125

0.83237

0

0.142857

0.569975

0

1

0

false

0

0.142857

0

0.142857

0

null

0

1

0

null

0

1

a4fdd449339d9a6b4a83a00a07b71605731d79ce

11,872

py

Python

tool/file_logger/file_logger.py

MageWeiG/karonte

2ffe649557adccdd3c2c77c0ae0a5f27a385fdcb

[ "BSD-2-Clause" ]

1

2021-04-15T12:00:56.000Z

tool/file_logger/file_logger.py

MageWeiG/karonte

2ffe649557adccdd3c2c77c0ae0a5f27a385fdcb

[ "BSD-2-Clause" ]

null

tool/file_logger/file_logger.py

MageWeiG/karonte

2ffe649557adccdd3c2c77c0ae0a5f27a385fdcb

[ "BSD-2-Clause" ]

1

2021-09-16T07:44:55.000Z

import signal import time from binary_dependency_graph.bdp_enum import RoleInfo, Role from utils import * import json import copy import os class FileLogger: def __init__(self, fw, filename): self._fw = fw self._filename = filename + '.json' self._logged_paths = set() self._start_ti...

34.312139

121

0.520721

1,517

11,872

3.915623

0.15557

0.036532

0.053704

0.017677

0.338215

0.27138

0.232492

0.193771

0.158586

0

0.002564

0.342992

11,872

345

122

34.411594

0.758974

0.002106

0

0.204762

0

0.165721

0.023921

0

0.002899

0

null

0.004762

0.033333

null

0.004762

0

null

0

null

0

1

0

1

3500fa79ade6cad32c123b48b017769fbbd3a1a9

1,726

py

Python

events/tests/models/test_event.py

pmatigakis/vedette

9990f8d787eace6008a37c733673959eddfdb9ac

[ "MIT" ]

null

events/tests/models/test_event.py

pmatigakis/vedette

9990f8d787eace6008a37c733673959eddfdb9ac

[ "MIT" ]

null

events/tests/models/test_event.py

pmatigakis/vedette

9990f8d787eace6008a37c733673959eddfdb9ac

[ "MIT" ]

null

from django.test import TestCase from events.models import Event, RawEvent class EventTestsRuntimeTagValueTests(TestCase): def test_runtime_tag_value(self): event = Event(runtime_name="runtime", runtime_version="0.1") self.assertEqual(event.runtime_tag_value(), "runtime-0.1") def test_runti...

31.381818

76

0.690614

213

1,726

5.276995

0.183099

0.113879

0.115658

0.088968

0.758007

0.637011

0.580071

0.468861

0.413701

0.395907

0

0.00567

0.182503

1,726

54

77

31.962963

0.790928

0

0.264706

0

0.063152

0

0.235294

1

0.235294

false

0

0.058824

0

0.382353

0

null

0

null

0

1

0

1

35048b0a5c51ebf06f8a12f7cd8dc6e23f6e0040

2,596

py

Python

cp4s_sdk/sdk.py

Ryan-Gordon1/cp4s-sdk

289e806a50895b497ef0852cdda824f90c9c5bd2

[ "MIT" ]

4

2021-07-29T15:06:12.000Z

2021-08-19T16:16:42.000Z

cp4s_sdk/sdk.py

Ryan-Gordon1/cp4s-sdk

289e806a50895b497ef0852cdda824f90c9c5bd2

[ "MIT" ]

null

cp4s_sdk/sdk.py

Ryan-Gordon1/cp4s-sdk

289e806a50895b497ef0852cdda824f90c9c5bd2

[ "MIT" ]

1

2021-07-24T09:30:47.000Z

# -*- coding: utf-8 -*- # (c) Copyright Ryan Gordon. 2021. All Rights Reserved. """ entrypoint for cp4s-sdk Python Module """ # Python std lib deps from cp4s_sdk.subparsers.soar_subparser import SoarSubParser from cp4s_sdk.subparsers.connector_subparser import ConnectorSubParser from cp4s_sdk.subparsers.appx_subparse...

36.56338

121

0.753852

344

2,596

5.520349

0.389535

0.036862

0.042127

0.047393

0.215377

0.097946

0

0.006977

0.171803

2,596

70

122

37.085714

0.876279

0.261556

0

0.069767

0

0.261603

0

0.014286

0

1

0.023256

false

0

0.116279

0

0.139535

0.023256

0

null

0

null

0

1

0

1

3506a7dad55417b6ac7feb24a791bd22b1057ff9

4,898

py

Python

sif.py

killua4564/-

756b6373ddcd3ec7bd3670df1e719878df51e214

[ "MIT" ]

null

sif.py

killua4564/-

756b6373ddcd3ec7bd3670df1e719878df51e214

[ "MIT" ]

null

sif.py

killua4564/-

756b6373ddcd3ec7bd3670df1e719878df51e214

[ "MIT" ]

null

from add_score_compute import add_score_compute from Team import Team from Member import Member if __name__ == '__main__': us_smile = Team("µ's smile", [ Member('UR_Honoka', 5540, 4, 0, 'Grade'), Member('SSR_Honoka', 5860, 3, add_score_compute('note', 24, 0.31, 435), 'Grade...

62.794872

105

0.490813

630

4,898

3.606349

0.188889

0.134683

0.191461

0.084507

0.431338

0.290053

0.083627

0.047975

0

0.156959

0.334014

4,898

78

106

62.794872

0.539546

0

0.105263

0

0.175138

0

1

0

false

0

0.039474

0

0.039474

0.078947

0

null

0

1

0

null

0

1

350744a03c941498eb4047a41ff4893e395f1dda

6,828

py

Python

gain/gain_year_count_natrl_forest.py

elizabethgoldman/carbon-budget

e224467f554c603704ef31d8e42a99db8bd160a7

[ "Apache-2.0" ]

null

gain/gain_year_count_natrl_forest.py

elizabethgoldman/carbon-budget

e224467f554c603704ef31d8e42a99db8bd160a7

[ "Apache-2.0" ]

null

gain/gain_year_count_natrl_forest.py

elizabethgoldman/carbon-budget

e224467f554c603704ef31d8e42a99db8bd160a7

[ "Apache-2.0" ]

null

### Creates tiles in which each natural non-mangrove non-planted forest biomass pixel is the number of years that trees are believed to have been growing there between 2001 and 2015. ### It is based on the annual Hansen loss data and the 2000-2012 Hansen gain data (as well as the 2000 tree cover density data). ### Firs...

46.44898

182

0.722759

1,064

6,828

4.424812

0.169173

0.042056

0.03972

0.035047

0.610875

0.582201

0.517842

0.504885

0.483645

0.448811

0

0.012658

0.16696

6,828

147

183

46.44898

0.815049

0.340656

0

0.324324

0

0.013514

0.283116

0.107095

0

null

0

0.094595

null

0.135135

0

null

0

null

0

1

0

1

35079d232ba1f5d27c8975f8dddd7698eba2407e

1,065

py

Python

sample/collect/service_imp/flow/common/file_content.py

SelfDown/omnis-collect

1b865e0070fa4e639a7b757f8443aafb4f94ac34

[ "MIT" ]

null

sample/collect/service_imp/flow/common/file_content.py

SelfDown/omnis-collect

1b865e0070fa4e639a7b757f8443aafb4f94ac34

[ "MIT" ]

null

sample/collect/service_imp/flow/common/file_content.py

SelfDown/omnis-collect

1b865e0070fa4e639a7b757f8443aafb4f94ac34

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ @Time: 2021/9/2 14:54 @Author: zzhang zzhang@cenboomh.com @File: dir_tree.py @desc: """ from collect.service_imp.flow.omnis_ssh import OmnisSSHService from collect.utils.collect_utils import get_safe_data class FileContent(OmnisSSHService): fc_const = { "file_name": "file", ...

28.783784

81

0.660094

144

1,065

4.666667

0.465278

0.095238

0.049107

0.0625

0

0.013366

0.22723

1,065

36

82

29.583333

0.803159

0.099531

0

0.039958

0

1

0.090909

false

0

0.181818

0.045455

0.545455

0

null

0

null

0

1

0

1

3508ff77d241e59a53ed1b15757ff3ba3dcfca51

10,413

py

Python

python/test.py

hasindu2008/slow5lib

3680e17360366c8cbffb66eb1e07426756665454

[ "MIT" ]

25

2021-06-25T10:47:53.000Z

2022-02-08T07:53:40.000Z

python/test.py

hasindu2008/slow5lib

3680e17360366c8cbffb66eb1e07426756665454

[ "MIT" ]

1

2021-07-01T04:05:09.000Z

2021-07-01T10:52:55.000Z

python/test.py

hasindu2008/slow5lib

3680e17360366c8cbffb66eb1e07426756665454

[ "MIT" ]

null

import unittest import pyslow5 as slow5 import time import numpy as np """ Run from root dir of repo after making pyslow5 python3 -m unittest -v python/test.py """ #globals debug = 0 #TODO: make this an argument with -v class TestBase(unittest.TestCase): def setUp(self): self.s5 = slow5.Open('e...

45.077922

181

0.617401

1,349

10,413

4.547072

0.20089

0.097815

0.068145

0.063743

0.666286

0.615422

0.583958

0.558037

0.54956

0.546951

0

0.098005

0.234707

10,413

230

182

45.273913

0.671728

0.021416

0

0.53886

0

0.227873

0.063177

0

0.004348

0.212435

1

0.227979

false

0

0.020725

0

0.284974

0

null

0

null

0

1

0

1

351785d8241b92cdcde355a90886cde61fab4767

18,046

py

Python

witness.py

jbzdarkid/Random

d0979ca28ecc408d1fa7f2fa7cca96c80ac57376

[ "Apache-2.0" ]

1

2017-11-01T10:22:53.000Z

witness.py

jbzdarkid/Random

d0979ca28ecc408d1fa7f2fa7cca96c80ac57376

[ "Apache-2.0" ]

1

2018-03-16T17:50:23.000Z

2018-03-16T17:51:15.000Z

witness.py

jbzdarkid/Random

d0979ca28ecc408d1fa7f2fa7cca96c80ac57376

[ "Apache-2.0" ]

5

2015-07-02T17:09:32.000Z

2017-10-04T07:08:00.000Z

# Work isValidSolution() into stage 1 not stage 0... May not work because I need to know which blue_paths are a valid start -- which involves doing all the work anyways. from collections import deque from time import time class Path(): def __init__(self, path): if isinstance(path, list): self.path = path ...

36.903885

169

0.616702

2,788

18,046

3.876614

0.101865

0.03923

0.028868

0.033309

0.631754

0.582624

0.530996

0.483531

0.46336

0.438009

0

0.0325

0.239554

18,046

488

170

36.979508

0.755083

0.153607

0

0.544554

0

0.039489

0

null

0.019802

0.007426

null

0.017327

0

null

0

null

0

1

0

1

351b66c87ec87a6c272df9ec5c3c91d68e8ceeb1

8,229

py

Python

BEAT0/BEAT/ec2/utility.py

cjcchen/beat

cc50eb75c937f6b843aa79d074c463811f27adf5

[ "Apache-2.0" ]

2

2020-06-24T02:37:01.000Z

2021-12-17T14:24:22.000Z

BEAT0/BEAT/ec2/utility.py

cjcchen/beat

cc50eb75c937f6b843aa79d074c463811f27adf5

[ "Apache-2.0" ]

null

BEAT0/BEAT/ec2/utility.py

cjcchen/beat

cc50eb75c937f6b843aa79d074c463811f27adf5

[ "Apache-2.0" ]

4

2020-05-24T07:42:09.000Z

2021-12-05T15:31:24.000Z

import argparse import boto.ec2 import sys, os import time if not boto.config.has_section('ec2'): boto.config.add_section('ec2') boto.config.setbool('ec2','use-sigv4',True) #These are the parameters for the AWS account your_key_path = "" your_key_name = "" instancetype = 't2.medium' #secgroups are associate...

32.397638

123

0.612954

1,013

8,229

4.78381

0.272458

0.040858

0.021667

0.026001

0.381758

0.332852

0.31428

0

0.024293

0.269656

8,229

253

124

32.525692

0.78203

0.04314

0

0.331731

0

0.004808

0.106487

0.017855

0

null

0

0.043269

null

0.038462

0

null

0

null

0

1

0

1

35289561c72c9874cd5aa195f2aef014e1fe9035

10,094

py

Python

Python_MiniGame_Fighter/venv/Lib/site-packages/pygame/tests/cdrom_test.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

Python_MiniGame_Fighter/venv/Lib/site-packages/pygame/tests/cdrom_test.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

Python_MiniGame_Fighter/venv/Lib/site-packages/pygame/tests/cdrom_test.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

import unittest from pygame.tests.test_utils import question, prompt import pygame pygame.cdrom.init() # The number of CD drives available for testing. CD_DRIVE_COUNT = pygame.cdrom.get_count() pygame.cdrom.quit() class CDROMModuleTest(unittest.TestCase): def setUp(self): pygame.cdrom.ini...

31.347826

90

0.593323

1,360

10,094

4.259559

0.147794

0.062662

0.033661

0.024685

0.431037

0.355256

0.315208

0.26532

0.244778

0.207492

0

0.016271

0.311968

10,094

321

91

31.445483

0.817855

0.49792

0

0.557692

0

0.050323

0

0.125

1

0.307692

false

0

0.028846

0

0.355769

0

null

0

null

0

1

0

1

3530c3fd045d9cf7628ce1bb21cb34bef702cca7

3,626

py

Python

python/cohorte/monitor/fsm.py

isandlaTech/cohorte-runtime

686556cdde20beba77ae202de9969be46feed5e2

[ "Apache-2.0" ]

6

2015-04-28T16:51:08.000Z

2017-07-12T11:29:00.000Z

python/cohorte/monitor/fsm.py

isandlaTech/cohorte-runtime

686556cdde20beba77ae202de9969be46feed5e2

[ "Apache-2.0" ]

29

2015-02-24T11:11:26.000Z

2017-08-25T08:30:18.000Z

qualifier/deploy/cohorte-home/repo/cohorte/monitor/fsm.py

isandlaTech/cohorte-devtools

9ba9021369188d2f0ad5c845ef242fd5a7097b57

[ "Apache-2.0" ]

1

2015-08-24T13:23:43.000Z

#!/usr/bin/env python # -- Content-Encoding: UTF-8 -- """ COHORTE Monitor: State machines definitions :author: Thomas Calmant :license: Apache Software License 2.0 .. Copyright 2014 isandlaTech Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance...

33.266055

80

0.680916

415

3,626

5.614458

0.296386

0.200858

0.08927

0.128326

0.374249

0.333906

0.311588

0.218455

0

0.004228

0.217319

3,626

108

81

33.574074

0.816772

0.333977

0

0.208333

0

0.037489

0

1

0.020833

false

0

0.041667

0

0.083333

0

null

1

0

null

0

1

353b517a5e85e040b53df48a3fec65957c9c1e11

877

py

Python

tests/sorting/test_bubble_sort.py

src24/algos

b1ac1049be6adaafedaa0572f009668e2c8d3809

[ "MIT" ]

null

tests/sorting/test_bubble_sort.py

src24/algos

b1ac1049be6adaafedaa0572f009668e2c8d3809

[ "MIT" ]

null

tests/sorting/test_bubble_sort.py

src24/algos

b1ac1049be6adaafedaa0572f009668e2c8d3809

[ "MIT" ]

null

import unittest from typing import List from sorting import bubble_sort arr: List[int] = [10, 2, 1, 7, 5, 3, 4, 6, 8, 9] class TestInsertionSort(unittest.TestCase): def test_bubble_sort_asc(self): expected: List[int] = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] bubble_sort.bubble_sort(arr) self.asse...

27.40625

61

0.631699

132

877

3.931818

0.272727

0.250482

0.125241

0.131021

0.485549

0.375723

0.323699

0

0.055389

0.238312

877

31

62

28.290323

0.721557

0

0.173913

0

0.009122

0

0.173913

1

0.173913

false

0

0.130435

0

0.347826

0

null

1

0

null

0

1

353c1a6943c5ecf90ce4c025f3f1398df4578f4e

218

py

Python

Exercicios/desafio23_unidadedezena.py

lbarrosandre/Resolucao-Desafios-Python

d30897d9d5cb179579fd67a70f3d74af7a3293a1

[ "MIT" ]

null

Exercicios/desafio23_unidadedezena.py

lbarrosandre/Resolucao-Desafios-Python

d30897d9d5cb179579fd67a70f3d74af7a3293a1

[ "MIT" ]

null

Exercicios/desafio23_unidadedezena.py

lbarrosandre/Resolucao-Desafios-Python

d30897d9d5cb179579fd67a70f3d74af7a3293a1

[ "MIT" ]

null

numero = int(input('Digite um número entre 0 e 9999: ')) u = numero % 10 d = numero // 10 % 10 c = numero // 100 % 10 m = numero // 1000 % 10 print('Unidade: {}\nDezena: {}\nCentena: {}\nMilhar: {}'.format(u,d,c,m))

24.222222

73

0.587156

35

218

3.657143

0.657143

0.125

0

0.125714

0.197248

218

8

74

27.25

0.605714

0

0.375

0

1

0

false

0

0.166667

0

null

0

1

0

null

0

1

353c6153f02add6d454ceded834e3459d403a01e

1,125

py

Python

Manejo_Ficheros.py

w2k31984/Selenium_WebDriver_Python

73e509813c6a5e508677920fa76c8cc56371134b

[ "MIT", "MIT-0" ]

null

Manejo_Ficheros.py

w2k31984/Selenium_WebDriver_Python

73e509813c6a5e508677920fa76c8cc56371134b

[ "MIT", "MIT-0" ]

null

Manejo_Ficheros.py

w2k31984/Selenium_WebDriver_Python

73e509813c6a5e508677920fa76c8cc56371134b

[ "MIT", "MIT-0" ]

null

#Los ficheros sirven para guardar datos .csv o bien importar datos, para diferentes situaciones. #Para consulta o guardar datos. #a adicionar Añadir elemento a un fichero. #w Modo de escritura de ficheros #r modo de lectura de ficheros #Agregar informacion nueva en un fichero nombre = input('Nombre :') #+ adicionar fu...

31.25

112

0.736889

162

1,125

5.117284

0.469136

0.053076

0.086852

0.101327

0

0.149333

1,125

35

113

32.142857

0.866249

0.729778

0

0.4

0

0.123675

0

0.028571

0

1

0

false

0

0.1

0

null

0

null

0

1

0

1

3540088278833f240e25e2349cb89b3f678b0770

2,868

py

Python

test/test_phones.py

Olga177/python_training2

2c608486a680a04cc1e0a1de10d6fe11b779e087

[ "Apache-2.0" ]

null

test/test_phones.py

Olga177/python_training2

2c608486a680a04cc1e0a1de10d6fe11b779e087

[ "Apache-2.0" ]

null

test/test_phones.py

Olga177/python_training2

2c608486a680a04cc1e0a1de10d6fe11b779e087

[ "Apache-2.0" ]

null

from random import randrange import re def test_phones_on_home_page(app): list_of_contacts_from_home_page = app.contact.get_contact_list() index = randrange(len(list_of_contacts_from_home_page)) contact_from_home_page = list_of_contacts_from_home_page[index] contact_from_edit_page = app.contact.get_con...

54.113208

118

0.715481

403

2,868

4.568238

0.136476

0.161325

0.123846

0.134166

0.798479

0.706681

0.562738

0.49484

0

0.002201

0.20781

2,868

52

119

55.153846

0.808099

0.185146

0

0.352941

0

0.004294

0

0.147059

1

0.176471

false

0

0.058824

0.088235

0.323529

0

null

0

1

0

null

0

1

354174160f07bd54eb7cb4c4c76ada3c37eee051

3,733

py

Python

lacli/t/test_login.py

longaccess/longaccess-client

710bab93e9b2b9264228769b3cb37808c97977ea

[ "Apache-2.0" ]

2

2015-01-04T01:15:36.000Z

2015-01-20T17:05:34.000Z

lacli/t/test_login.py

longaccess/longaccess-client

710bab93e9b2b9264228769b3cb37808c97977ea

[ "Apache-2.0" ]

1

2016-04-21T00:33:46.000Z

2016-05-05T09:23:50.000Z

lacli/t/test_login.py

longaccess/longaccess-client

710bab93e9b2b9264228769b3cb37808c97977ea

[ "Apache-2.0" ]

null

import os from testtools import TestCase from testtools.matchers import Contains from . import makeprefs from mock import Mock, patch from StringIO import StringIO from twisted.internet import defer class LoginCommandTest(TestCase): def setUp(self): super(LoginCommandTest, self).setUp() self.pref...

33.630631

72

0.623895

405

3,733

5.62963

0.182716

0.078947

0.039912

0.065789

0.695175

0.663158

0.607895

0.589474

0

0.256094

3,733

110

73

33.936364

0.82103

0

0.582418

0

0.090544

0

0.197802

1

0.120879

false

0.065934

0.087912

0

0.230769

0

null

0

null

0

1

0

1

35459340a7693b18c04d27a7fcf3629926b46270

551

py

Python

src/server/server.py

MShooshtari/python-socketio-cluster

6499d9941cc741013e2e154a95225026d4456eae

[ "MIT" ]

null

src/server/server.py

MShooshtari/python-socketio-cluster

6499d9941cc741013e2e154a95225026d4456eae

[ "MIT" ]

null

src/server/server.py

MShooshtari/python-socketio-cluster

6499d9941cc741013e2e154a95225026d4456eae

[ "MIT" ]

1

2019-11-18T06:34:20.000Z

import eventlet import socketio import os import sys import sshtunnel import time sio = socketio.Server(async_mode='eventlet') app = socketio.Middleware(sio) #temp import apps.streetdownloader.server as srv srv_handle=srv.handler() node_thread_number =4 if __name__ == '__main__': port = 30021 ...

21.192308

59

0.676951

73

551

4.917808

0.616438

0.050139

0

0.020316

0.196007

551

25

60

22.04

0.790068

0.00726

0

0.096154

0

1

0

false

0

0.388889

0

0.388889

0.055556

0

null

0

null

0

1

0

1

3548b1c543745c53a9c4c310d95f51f77e654b94

889

py

Python

setup.py

zeevro/cgi_utils

1951a684d922ea8c17f29e1326865303f10c9c0f

[ "Unlicense" ]

1

2020-11-27T21:17:55.000Z

setup.py

zeevro/cgi_utils

1951a684d922ea8c17f29e1326865303f10c9c0f

[ "Unlicense" ]

null

setup.py

zeevro/cgi_utils

1951a684d922ea8c17f29e1326865303f10c9c0f

[ "Unlicense" ]

null

from setuptools import setup setup( name='cgi_utils', version='0.1.0', url='https://github.com/zeevro/cgi_utils', download_url='https://github.com/zeevro/cgi_utils/archive/master.zip', author='Zeev Rotshtein', author_email='zeevro@gmail.com', maintainer='Zeev Rotshtein', maintainer_ema...

26.939394

82

0.5973

95

889

5.494737

0.621053

0.061303

0.143678

0.065134

0.118774

0

0.009023

0.251969

889

32

83

27.78125

0.77594

0

0.1

0

0.51631

0

1

0

true

0

0.033333

0

0.033333

0

null

0

null

0

1

0

1

35497e5a14c5ccf44609e3577525b453fcbe9f5d

4,936

py

Python

cloudrail/knowledge/context/aws/ec2/vpc.py

my-devops-info/cloudrail-knowledge

b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e

[ "MIT" ]

null

cloudrail/knowledge/context/aws/ec2/vpc.py

my-devops-info/cloudrail-knowledge

b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e

[ "MIT" ]

null

cloudrail/knowledge/context/aws/ec2/vpc.py

my-devops-info/cloudrail-knowledge

b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e

[ "MIT" ]

null

from __future__ import annotations from dataclasses import dataclass from typing import List, Optional, Dict from cloudrail.knowledge.context.aws.ec2.internet_gateway import InternetGateway from cloudrail.knowledge.context.aws.ec2.subnet import Subnet from cloudrail.knowledge.context.aws.service_name import AwsServic...

38.263566

132

0.675446

647

4,936

4.874807

0.171561

0.047559

0.045656

0.073557

0.375079

0.296449

0.187064

0.106531

0

0.003929

0.226499

4,936

128

133

38.5625

0.822158

0

0.18

0

0.072934

0.035049

0

1

0.18

false

0.02

0.11

0.1

0.51

0

null

0

null

0

1

0

1

1020d3cf6c6085490fe42b1e3d002bd065fc301b

3,362

py

Python

data/test/python/1020d3cf6c6085490fe42b1e3d002bd065fc301bimport_from_old_db.py

harshp8l/deep-learning-lang-detection

2a54293181c1c2b1a2b840ddee4d4d80177efb33

[ "MIT" ]

84

2017-10-25T15:49:21.000Z

2021-11-28T21:25:54.000Z

data/test/python/1020d3cf6c6085490fe42b1e3d002bd065fc301bimport_from_old_db.py

vassalos/deep-learning-lang-detection

cbb00b3e81bed3a64553f9c6aa6138b2511e544e

[ "MIT" ]

5

2018-03-29T11:50:46.000Z

2021-04-26T13:33:18.000Z

data/test/python/1020d3cf6c6085490fe42b1e3d002bd065fc301bimport_from_old_db.py

vassalos/deep-learning-lang-detection

cbb00b3e81bed3a64553f9c6aa6138b2511e544e

[ "MIT" ]

24

2017-11-22T08:31:00.000Z

2022-03-27T01:22:31.000Z

from django.core.management.base import BaseCommand from scraper.models import Incident, IncidentType, \ Dispatch, Vehicle, VehicleType import csv import datetime import re from pytz import timezone class Command(BaseCommand): help = 'Imports data from legacy database csv' def add_arguments(self, parser)...

39.552941

79

0.531231

323

3,362

5.356037

0.340557

0.023121

0.026012

0.039884

0.247399

0.179191

0.154913

0.116763

0.061272

0

0.012002

0.380428

3,362

84

80

40.02381

0.818531

0

0.189189

0

0.090422

0

null

0.013514

0.094595

null

0.081081

0

null

0

null

0

1

0

1

102942cf3f72f0ae2a71da610131392226802dd4

2,429

py

Python

net_models/models/interfaces/L2InterfaceModels.py

ashkalikava/net_models

1a99f6dc743665b47c4c4731bbca2a52176ded3f

[ "MIT" ]

null

net_models/models/interfaces/L2InterfaceModels.py

ashkalikava/net_models

1a99f6dc743665b47c4c4731bbca2a52176ded3f

[ "MIT" ]

null

net_models/models/interfaces/L2InterfaceModels.py

ashkalikava/net_models

1a99f6dc743665b47c4c4731bbca2a52176ded3f

[ "MIT" ]

null

# Standard Libraries # Third party packages from pydantic import validator, root_validator from pydantic.typing import Literal, List, Union, Optional # Local package from net_models.validators import * from net_models.fields import * from net_models.models import VendorIndependentBaseModel # Local module class Inter...

35.720588

191

0.7007

287

2,429

5.780488

0.449477

0.050633

0.023508

0.041591

0.12176

0.072333

0.045811

0

0.006539

0.181556

2,429

67

192

36.253731

0.827968

0.076163

0

0.058824

0

0.029412

0.204218

0.013873

0

0.029412

1

0.058824

false

0

0.147059

0

0.823529

0

null

0

null

0

1

0

1

102b51aee461c4f011634640694926de83eaaa62

1,143

py

Python

Paginas/tp3/Principal.py

GLautaro/TpSIM

6f869c07ab560365c7cb624e71bf220693f282a3

[ "MIT" ]

null

Paginas/tp3/Principal.py

GLautaro/TpSIM

6f869c07ab560365c7cb624e71bf220693f282a3

[ "MIT" ]

null

Paginas/tp3/Principal.py

GLautaro/TpSIM

6f869c07ab560365c7cb624e71bf220693f282a3

[ "MIT" ]

null

import streamlit as st ## The homepage is loaded using a combination of .write and .markdown. def LoadPage(): st.title('🔢Simulación con distribuciones probabilisticas continuas.🔢') st.markdown('Simulación - Trabajo Práctico de Laboratorio 3') st.write('Se desarrollo esta aplicación que permite generar s...

54.428571

142

0.716535

150

1,143

5.493333

0.573333

0.033981

0.04733

0.070388

0

0.002186

0.199475

1,143

21

143

54.428571

0.892896

0.058618

0

0.689944

0

1

0.058824

false

0

0.058824

0

0.117647

0

null

0

1

0

null

0

1

102cbfd122d54e23aa13df58cfdc4942134fc5d0

1,213

py

Python

rascil/processing_components/calibration/rcal.py

SKA-ScienceDataProcessor/rascil

bd3b47f779e18e184781e2928ad1539d1fdc1c9b

[ "Apache-2.0" ]

7

2019-12-14T13:42:33.000Z

2022-01-28T03:31:45.000Z

rascil/processing_components/calibration/rcal.py

SKA-ScienceDataProcessor/rascil

bd3b47f779e18e184781e2928ad1539d1fdc1c9b

[ "Apache-2.0" ]

6

2020-01-08T09:40:08.000Z

2020-06-11T14:56:13.000Z

rascil/processing_components/calibration/rcal.py

SKA-ScienceDataProcessor/rascil

bd3b47f779e18e184781e2928ad1539d1fdc1c9b

[ "Apache-2.0" ]

3

2020-01-14T11:14:16.000Z

2020-09-15T05:21:06.000Z

""" Real time calibration pipeline """ __all__ = ['rcal'] import collections from rascil.data_models.memory_data_models import BlockVisibility, GainTable from rascil.processing_components.visibility.base import copy_visibility from rascil.processing_components.calibration.solvers import solve_gaintable from rascil....

34.657143

103

0.755977

137

1,213

6.562044

0.489051

0.044494

0.066741

0.100111

0.086763

0

0.173124

1,213

34

104

35.676471

0.896311

0.347898

0

0.005376

0

1

0.071429

false

0

0.357143

0

0.428571

0

null

0

null

0

1

0

1

102dc0a406c2d9cb1f87691bb149e3955361c48e

842

py

Python

texion/models/core.py

AnjanaRita/texion

edb2eb581600af7507f7315dfc0ee92e567c6b47

[ "MIT" ]

1

2022-02-08T23:06:28.000Z

texion/models/core.py

AnjanaRita/texion

edb2eb581600af7507f7315dfc0ee92e567c6b47

[ "MIT" ]

null

texion/models/core.py

AnjanaRita/texion

edb2eb581600af7507f7315dfc0ee92e567c6b47

[ "MIT" ]

null

from .sklearn.base_sklearn import BaseSklearn from .torch.base_torch import BaseTorch class Texion: def __new__(cls, mode, name, params=None): """ parameters: __________ mode: str configures Texion's Backend, choose either `Sklearn` or `Torch`. name: str ...

24.764706

79

0.597387

87

842

5.517241

0.563218

0.0625

0.066667

0.075

0.175

0

0.331354

842

33

80

25.515152

0.852575

0.369359

0

0.2

0

0.20283

0

1

0.1

false

0

0.2

0

0.6

0.2

0

null

0

null

0

1

0

1

102ee09bcc7103b2bffb1124afb43dd99b75ca8a

5,224

py

Python

MyNaiveBayes.py

hakimkt/SAIVS

c310bd7c9426f0d21efeea8866cf6b881b7e8530

[ "Apache-2.0" ]

40

2018-10-29T02:29:13.000Z

2021-11-23T13:14:50.000Z

MyNaiveBayes.py

5l1v3r1/SAIVS

aa62451665b6398ba329d68592bf4313be60a886

[ "Apache-2.0" ]

1

2021-02-23T12:27:28.000Z

MyNaiveBayes.py

5l1v3r1/SAIVS

aa62451665b6398ba329d68592bf4313be60a886

[ "Apache-2.0" ]

29

2018-10-29T02:29:17.000Z

2022-03-17T06:31:35.000Z

#!/usr/bin/python #coding:utf-8 import os import sys import math import pickle # NaiveBayesで種々の分類を実行 class Classify(): def __init__(self): # 訓練済みデータを格納するpklファイルパスを定義 self.bin_nb_okng_body_path = os.path.join('.\\data', 'nb_okng_classify_body.pkl') self.bin_nb_page_type_bod...

33.487179

100

0.605475

603

5,224

4.912106

0.237148

0.032411

0.035111

0.035449

0.242404

0.204591

0.142134

0.082377

0.055368

0

0.004184

0.313744

5,224

155

101

33.703226

0.821757

0.106815

0

0.096774

0

0.041741

0.020313

0

null

0

0.043011

null

0.032258

0

null

0

null

0

1

0

1

102f598f4778700bb879fb2c9df1042899e6882b

1,165

py

Python

6.- DBSCAN and PCA/solution/2.pca.py

nik1168/data-representation-reduction-exercises

6b39940ae2c9f5a0eb5a3ce4ed57a32e1d2ac166

[ "Apache-2.0" ]

null

6.- DBSCAN and PCA/solution/2.pca.py

nik1168/data-representation-reduction-exercises

6b39940ae2c9f5a0eb5a3ce4ed57a32e1d2ac166

[ "Apache-2.0" ]

null

6.- DBSCAN and PCA/solution/2.pca.py

nik1168/data-representation-reduction-exercises

6b39940ae2c9f5a0eb5a3ce4ed57a32e1d2ac166

[ "Apache-2.0" ]

null

from __future__ import absolute_import, print_function, division from sklearn.datasets import load_digits import matplotlib.pyplot as plt from time import time import numpy as np from numpy import linalg as LA from sklearn.decomposition import PCA from sklearn.preprocessing import StandardScaler # Step 1: Load dataset...

26.477273

92

0.759657

199

1,165

4.306533

0.40201

0.077013

0.044341

0

0.008008

0.142489

1,165

43

93

27.093023

0.84985

0.321888

0

0.12

0

0.032051

0

1

0

false

0

0.32

0

0.32

0.12

0

null

0

null

0

1

0

1

103255cd19645e003748405e09f44b6314288620

3,720

py

Python

cloudify/models_states.py

michailj/cloudify-common

dfc83adbd9ec6f07539445ca5d7008fa733bed03

[ "Apache-2.0" ]

null

cloudify/models_states.py

michailj/cloudify-common

dfc83adbd9ec6f07539445ca5d7008fa733bed03

[ "Apache-2.0" ]

null

cloudify/models_states.py

michailj/cloudify-common

dfc83adbd9ec6f07539445ca5d7008fa733bed03

[ "Apache-2.0" ]

null

######## # Copyright (c) 2018 Cloudify Platform Ltd. 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 requi...

29.76

79

0.696505

378

3,720

6.748677

0.37037

0.02352

0.0294

0.025872

0.114857

0.048608

0.032144

0

0.003064

0.210484

3,720

124

80

30

0.865509

0.183871

0

0.166667

0

0.176

0.010667

0

1

0

false

0

0.892857

0.011905

0

null

0

null

0

1

0

1

1034a913503170976819b1e13417d1fddc21ece8

6,484

py

Python

src/finmag/physics/physics.py

davidcortesortuno/finmag

9ac0268d2c0e45faf1284cee52a73525aa589e2b

[ "BSL-1.0" ]

10

2018-03-24T07:43:17.000Z

2022-03-26T10:42:27.000Z

src/finmag/physics/physics.py

davidcortesortuno/finmag

9ac0268d2c0e45faf1284cee52a73525aa589e2b

[ "BSL-1.0" ]

21

2018-03-26T15:08:53.000Z

2021-07-10T16:11:14.000Z

src/finmag/physics/physics.py

davidcortesortuno/finmag

9ac0268d2c0e45faf1284cee52a73525aa589e2b

[ "BSL-1.0" ]

7

2018-04-09T11:50:48.000Z

2021-06-10T09:23:25.000Z

""" Derives physical quantities from the primary simulation state. """ import logging import numpy as np import dolfin as df import finmag.util.consts as consts from finmag.field import Field from effective_field import EffectiveField from equation import Equation logger = logging.getLogger(name="finmag") class Phy...

35.048649

195

0.615978

958

6,484

4.099165

0.273486

0.015279

0.013751

0.02139

0.211103

0.188439

0.125796

0.110517

0.085562

0

0.004746

0.285163

6,484

184

196

35.23913

0.842503

0.494139

0

0.147059

0

0.016388

0.008194

0

0.016304

0.044118

1

0.147059

false

0

0.102941

0

0.397059

0

null

0

null

0

1

0

1

104210c3255c17f689cfaec0a4b59907164b98ac

961

py

Python

Data Science With Python/09-manipulating-dataframes-with-pandas/05-putting-it-all-together/09-visualizing-usa-medal-counts-by-edition-line-plot.py

aimanahmedmoin1997/DataCamp

c6a6c4d59b83f14854bd76ed5c0c7f2dddd6de1d

[ "MIT" ]

3

2019-05-12T04:49:24.000Z

2020-05-06T00:40:28.000Z

Data Science With Python/09-manipulating-dataframes-with-pandas/05-putting-it-all-together/09-visualizing-usa-medal-counts-by-edition-line-plot.py

aimanahmedmoin1997/DataCamp

c6a6c4d59b83f14854bd76ed5c0c7f2dddd6de1d

[ "MIT" ]

null

Data Science With Python/09-manipulating-dataframes-with-pandas/05-putting-it-all-together/09-visualizing-usa-medal-counts-by-edition-line-plot.py

aimanahmedmoin1997/DataCamp

c6a6c4d59b83f14854bd76ed5c0c7f2dddd6de1d

[ "MIT" ]

7

2018-11-06T17:43:31.000Z

2020-11-07T21:08:16.000Z

''' Visualizing USA Medal Counts by Edition: Line Plot Your job in this exercise is to visualize the medal counts by 'Edition' for the USA. The DataFrame has been pre-loaded for you as medals. INSTRUCTIONS 100XP Create a DataFrame usa with data only for the USA. Group usa such that ['Edition', 'Medal'] is the index. ...

38.44

137

0.764828

159

961

4.471698

0.383648

0.113924

0.123769

0.168776

0.198312

0.139241

0.084388

0

0.003641

0.14256

961

24

138

40.041667

0.859223

0.763788

0

0.125

0

1

0

false

0

null

0

1

0

null

0

1

104b1e2b71cafb9c345d866cbb4a1ef64091c927

542

py

Python

yggdrasil/communication/PickleFileComm.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

22

2019-02-05T15:20:07.000Z

2022-02-25T09:00:40.000Z

yggdrasil/communication/PickleFileComm.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

48

2019-02-15T20:41:24.000Z

2022-03-16T20:52:02.000Z

yggdrasil/communication/PickleFileComm.py

astro-friedel/yggdrasil

5ecbfd083240965c20c502b4795b6dc93d94b020

[ "BSD-3-Clause" ]

16

2019-04-27T03:36:40.000Z

2021-12-02T09:47:06.000Z

from yggdrasil.communication import FileComm class PickleFileComm(FileComm.FileComm): r"""Class for handling I/O from/to a pickled file on disk. Args: name (str): The environment variable where file path is stored. **kwargs: Additional keywords arguments are passed to parent class. """ ...

30.111111

75

0.662362

62

542

5.66129

0.806452

0

0.261993

542

17

76

31.882353

0.8775

0.370849

0

0.217666

0

1

0

false

0

0.125

0

0.75

0

null

0

null

0

1

0

1

104d26934f3226631a09b0224a69159d8d0e520b

6,073

py

Python

dcm-meta-xformer.py

dmoore247/pixels

cf78ab016530c42bc36538a9b812fe23107f87d7

[ "Apache-2.0" ]

2

2021-03-28T18:50:50.000Z

2021-08-09T02:06:15.000Z

dcm-meta-xformer.py

dmoore247/pixels

cf78ab016530c42bc36538a9b812fe23107f87d7

[ "Apache-2.0" ]

null

dcm-meta-xformer.py

dmoore247/pixels

cf78ab016530c42bc36538a9b812fe23107f87d7

[ "Apache-2.0" ]

null

# Databricks notebook source # MAGIC %pip install git+https://github.com/dmoore247/pixels.git@patcher # COMMAND ---------- from pyspark.ml import Pipeline from databricks.pixels import DicomFrames from databricks.pixels import DicomMetaExtractor # COMMAND ---------- path = 'dbfs:/FileStore/shared_uploads/douglas.mo...

28.378505

122

0.586037

698

6,073

4.889685

0.237822

0.02637

0.013185

0.030472

0.308819

0.26194

0.224436

0.177849

0

0.012048

0.275646

6,073

213

123

28.511737

0.76381

0.102585

0

0.285714

0

0.100628

0.012371

0

0.004695

0

null

0

0.105263

null

0.030075

0

null

0

null

0

1

0

1

104e906ccf0cc1a6a8390078dd020b890dd1cae5

1,027

py

Python

astronomy_datamodels/tags/subarray.py

spacetelescope/astronomy_datamodels

ca5db82d5982781ea763cef9851d4c982fd86328

[ "BSD-3-Clause" ]

1

2019-03-08T03:06:43.000Z

astronomy_datamodels/tags/subarray.py

spacetelescope/astronomy_datamodels

ca5db82d5982781ea763cef9851d4c982fd86328

[ "BSD-3-Clause" ]

1

2020-10-29T19:54:28.000Z

astronomy_datamodels/tags/subarray.py

spacetelescope/astronomy_datamodels

ca5db82d5982781ea763cef9851d4c982fd86328

[ "BSD-3-Clause" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst # -*- coding: utf-8 -*- from asdf import yamlutil from asdf.versioning import AsdfSpec from ..types import AstronomyDataModelType from ..subarray import Subarray class SubarrayType(AstronomyDataModelType): name = 'datamodel/subarray' version = '1....

27.756757

71

0.615385

123

1,027

5.097561

0.463415

0.038278

0.028708

0.031898

0

0.010738

0.274586

1,027

36

72

28.527778

0.830872

0.137293

0

0.103448

0

0.111364

0.043182

0

0.034483

1

0.103448

false

0.034483

0.137931

0

0.517241

0

null

0

null

0

1

0

1

104ee0b4a0407cf3c5bf1c701a12b0113aae32a9

1,690

py

Python

tests/io/inputs/test_token_parser.py

Ivoz/cleo

8dc694ed5ed350403966f93d330654ecb447801b

[ "MIT" ]

859

2015-02-04T02:33:22.000Z

2022-03-31T10:41:06.000Z

tests/io/inputs/test_token_parser.py

Ivoz/cleo

8dc694ed5ed350403966f93d330654ecb447801b

[ "MIT" ]

66

2015-01-04T19:43:48.000Z

2022-03-30T02:33:13.000Z

tests/io/inputs/test_token_parser.py

Ivoz/cleo

8dc694ed5ed350403966f93d330654ecb447801b

[ "MIT" ]

64

2015-01-18T08:32:43.000Z

2022-03-02T10:43:58.000Z

import pytest from cleo.io.inputs.token_parser import TokenParser @pytest.mark.parametrize( "string, tokens", [ ("", []), ("foo", ["foo"]), (" foo bar ", ["foo", "bar"]), ('"quoted"', ["quoted"]), ("'quoted'", ["quoted"]), ("'a\rb\nc\td'", ["a\rb\nc\td"]), ...

39.302326

81

0.442012

177

1,690

4.20904

0.242938

0.136913

0.209396

0.150336

0.626846

0.566443

0.413423

0.347651

0

0.231953

1,690

42

82

40.238095

0.57396

0

0.479882

0

0.025641

1

0.025641

false

0

0.051282

0

0.076923

0

null

0

1

0

null

0

1

104ef278b7065e467b128760f4e55840a34dc2b7

2,641

py

Python

python/muse/data_structures/ArrayList.py

networkhermit/algorithm

5c7221b12fac2de947a7c75ee40ff4ff519b443f

[ "MIT" ]

null

python/muse/data_structures/ArrayList.py

networkhermit/algorithm

5c7221b12fac2de947a7c75ee40ff4ff519b443f

[ "MIT" ]

null

python/muse/data_structures/ArrayList.py

networkhermit/algorithm

5c7221b12fac2de947a7c75ee40ff4ff519b443f

[ "MIT" ]

null

class ArrayList: DEFAULT_CAPACITY = 64 def __init__(self, physicalSize: int = 0): self.data = None self.logicalSize = 0 self.physicalSize = self.DEFAULT_CAPACITY if physicalSize > 1: self.physicalSize = physicalSize self.data = [0] * self.physicalSize d...

27.510417

74

0.580462

302

2,641

5.049669

0.149007

0.196721

0.03541

0.04459

0.485902

0.403934

0.339672

0.308197

0

0.013661

0.307081

2,641

95

75

27.8

0.819672

0

0.234375

0

0.039379

0

1

0.234375

false

0

0.078125

0.359375

0

null

0

null

0

1

0

1

105132707d95e266bf026a07a991b27eaa6b30a3

922

py

Python

terminalstyle.py

ChrisDavison/scripts

ebbe52626aac041f37a1143607dc0cc74515a198

[ "MIT" ]

null

terminalstyle.py

ChrisDavison/scripts

ebbe52626aac041f37a1143607dc0cc74515a198

[ "MIT" ]

null

terminalstyle.py

ChrisDavison/scripts

ebbe52626aac041f37a1143607dc0cc74515a198

[ "MIT" ]

null

#!/usr/bin/env python3 class Style: """Shortcuts to terminal styling escape sequences""" BOLD = "\033[1m" END = "\033[0m" FG_Black = "\033[30m" FG_Red = "\033[31m" FG_Green = "\033[32m" FG_Yellow = "\033[33m" FG_Blue = "\033[34m" FG_Magenta = "\033[35m" FG_Cyan = "\033[36m" ...

23.641026

56

0.58026

129

922

4

0.372093

0.116279

0.100775

0.139535

0.284884

0

0.128427

0.248373

922

38

57

24.263158

0.616162

0.073753

0

0.129032

0

0.324292

0.15684

0

1

0.129032

false

0

0.129032

0.870968

0

null

0

null

0

1

0

1