xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

f4547f32ba2dd53a8a0e71fc993cc07d7d1a58ed

2,384

py

Python

python/handwritten_baseline/pipeline/model/feature_extr/debug.py

UKPLab/cdcr-beyond-corpus-tailored

52bf98692c7464f25628baea24addd1a988f9a1f

[ "Apache-2.0" ]

10

2020-11-28T05:01:04.000Z

2021-12-21T19:34:00.000Z

python/handwritten_baseline/pipeline/model/feature_extr/debug.py

UKPLab/cdcr-beyond-corpus-tailored

52bf98692c7464f25628baea24addd1a988f9a1f

[ "Apache-2.0" ]

1

2022-03-12T07:20:39.000Z

2022-03-16T05:11:38.000Z

python/handwritten_baseline/pipeline/model/feature_extr/debug.py

UKPLab/cdcr-beyond-corpus-tailored

52bf98692c7464f25628baea24addd1a988f9a1f

[ "Apache-2.0" ]

1

2021-12-21T19:34:08.000Z

import pprint from typing import Optional, List, Tuple, Set, Dict import numpy as np from overrides import overrides from python.handwritten_baseline.pipeline.data.base import Dataset from python.handwritten_baseline.pipeline.model.feature_extr import DEBUG_EXTR from python.handwritten_baseline.pipeline.model.feature...

43.345455

127

0.684983

286

2,384

5.468531

0.328671

0.084399

0.067136

0.055627

0.285166

0.219949

0.152813

0.049872

0

0.00269

0.220218

2,384

55

128

43.345455

0.838623

0.026007

0

0.068182

0

0.081925

0

1

0.090909

false

0

0.159091

0.022727

0.386364

0.068182

0

null

0

null

0

1

0

f454b6de1f5f5d7ea1e9cef6495a08d3a75a9606

1,253

py

Python

kunquat/tracker/errorbase.py

cyberixae/kunquat

06ae72b2c1519686cc510ce887d9d45a5c3fa3a3

[ "CC0-1.0" ]

null

kunquat/tracker/errorbase.py

cyberixae/kunquat

06ae72b2c1519686cc510ce887d9d45a5c3fa3a3

[ "CC0-1.0" ]

null

kunquat/tracker/errorbase.py

cyberixae/kunquat

06ae72b2c1519686cc510ce887d9d45a5c3fa3a3

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- # # Author: Tomi Jylhä-Ollila, Finland 2014 # # This file is part of Kunquat. # # CC0 1.0 Universal, http://creativecommons.org/publicdomain/zero/1.0/ # # To the extent possible under law, Kunquat Affirmers have waived all # copyright and related or neighboring rights to Kunquat. # from __futu...

24.096154

71

0.73344

175

1,253

5.062857

0.537143

0.099323

0.14447

0.047404

0.189616

0.13544

0

0.009515

0.161213

1,253

51

72

24.568627

0.833492

0.263368

0

0.06632

0

0.019608

0

1

0.238095

false

0.047619

0.190476

0

0.47619

0.190476

0

null

0

null

0

1

0

1

0

2

f456221256fc52688ca188318ed96a52141502e3

4,311

py

Python

venv/lib/python3.5/site-packages/igraph/test/atlas.py

dtklinh/Protein-Rigid-Domains-Estimation

a27152ef5437eb87ee31c317091356c4787f82a4

[ "MIT" ]

2

2021-03-04T16:57:06.000Z

2021-08-11T01:42:29.000Z

venv/lib/python3.5/site-packages/igraph/test/atlas.py

dtklinh/Protein-Rigid-Domains-Estimation

a27152ef5437eb87ee31c317091356c4787f82a4

[ "MIT" ]

null

venv/lib/python3.5/site-packages/igraph/test/atlas.py

dtklinh/Protein-Rigid-Domains-Estimation

a27152ef5437eb87ee31c317091356c4787f82a4

[ "MIT" ]

null

import warnings import unittest from igraph import * class TestBase(unittest.TestCase): def testPageRank(self): for idx, g in enumerate(self.__class__.graphs): try: pr = g.pagerank() except Exception as ex: self.assertTrue(False, msg="PageRank calcu...

38.491071

118

0.52424

494

4,311

4.510121

0.257085

0.035009

0.048474

0.037702

0.454219

0.38061

0.366697

0.326302

0.279174

0.219928

0

0.018328

0.3672

4,311

111

119

38.837838

0.798387

0.040362

0

0.341176

0

0.174619

0

0.2

1

0.070588

false

0

0.035294

0

0.176471

0

null

0

null

0

1

0

f4564217958b77537d1072c7c3fc29f0c202d7e9

3,509

py

Python

pycspr/types/cl.py

momipsl/pycspr

82c1ca003525a3d205d2aa3b7da5d1ecd275e9b5

[ "Apache-2.0" ]

2

2021-04-14T13:49:20.000Z

2021-07-06T22:07:02.000Z

pycspr/types/cl.py

momipsl/pycspr

82c1ca003525a3d205d2aa3b7da5d1ecd275e9b5

[ "Apache-2.0" ]

null

pycspr/types/cl.py

momipsl/pycspr

82c1ca003525a3d205d2aa3b7da5d1ecd275e9b5

[ "Apache-2.0" ]

1

2021-04-15T12:52:42.000Z

import dataclasses import enum class CLType(enum.Enum): """Enumeration over set of CL types. """ BOOL = 0 I32 = 1 I64 = 2 U8 = 3 U32 = 4 U64 = 5 U128 = 6 U256 = 7 U512 = 8 UNIT = 9 STRING = 10 KEY = 11 UREF = 12 OPTION = 13 LIST = 14 BYTE_A...

21.396341

85

0.667427

432

3,509

5.351852

0.280093

0.044983

0.108131

0.108997

0.528114

0.505623

0.446799

0.423875

0.274221

0

0.035728

0.258193

3,509

163

86

21.527607

0.852478

0.436307

0

0.209877

0

1

0.012346

false

0.012346

0.024691

0

0.654321

0

null

0

null

0

1

0

1

f456c15808160c57f2b68cffa03b0cdb9fe05135

1,668

py

Python

google/cloud/aiplatform_v1/types/env_var.py

nachocano/python-aiplatform

1c6b998d9145309d79712f494a2b00b50a9a9bf4

[ "Apache-2.0" ]

null

google/cloud/aiplatform_v1/types/env_var.py

nachocano/python-aiplatform

1c6b998d9145309d79712f494a2b00b50a9a9bf4

[ "Apache-2.0" ]

1

2021-02-12T23:56:38.000Z

google/cloud/aiplatform_v1/types/env_var.py

nachocano/python-aiplatform

1c6b998d9145309d79712f494a2b00b50a9a9bf4

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # 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 o...

34.040816

88

0.688249

224

1,668

5.058036

0.575893

0.052957

0.022948

0.028244

0.047661

0

0.009397

0.234412

1,668

48

89

34.75

0.877839

0.767386

0

0.104575

0.084967

0

1

0

false

0

0.142857

0

0.571429

0

null

0

null

0

1

0

1

f45776dc27791b0b8c76dabaff8a799c99fa956b

3,119

py

Python

tools/borplay/packlib.py

MrCoolSpan/openbor

846cfeb924906849c8a11e76c442e47286b707ea

[ "BSD-3-Clause" ]

25

2015-03-10T06:14:12.000Z

2021-04-28T03:42:32.000Z

tools/borplay/packlib.py

MrCoolSpan/openbor

846cfeb924906849c8a11e76c442e47286b707ea

[ "BSD-3-Clause" ]

2

2019-09-29T11:35:30.000Z

2021-02-08T11:10:32.000Z

tools/borplay/packlib.py

MrCoolSpan/openbor

846cfeb924906849c8a11e76c442e47286b707ea

[ "BSD-3-Clause" ]

18

2015-03-14T02:43:26.000Z

2020-07-24T02:08:58.000Z

# Copyright (c) 2009 Bryan Cain ("Plombo") # Class and functions to read .PAK files. import struct from cStringIO import StringIO class PackFileReader(object): ''' Represents a BOR packfile. ''' files = dict() # the index holding the location of each file packfile = None # the file object def __in...

29.990385

102

0.655338

466

3,119

4.330472

0.324034

0.024281

0.02775

0.023786

0.16551

0.132805

0.099108

0

0.013895

0.215454

3,119

103

30.281553

0.810789

0.191087

0

0.070175

0

0.036676

0.015473

0

null

0

0.035088

null

0.017544

0

null

0

null

0

1

0

1

f4584cfc0d782e8ed0b2d30fb8fdd386a63762a3

1,017

py

Python

artascope/src/web/app.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

3

2020-09-24T16:19:28.000Z

2022-02-09T21:10:11.000Z

artascope/src/web/app.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

null

artascope/src/web/app.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Created by magus0219[magus0219@gmail.com] on 2020/3/23 from types import FunctionType from flask import ( Flask, redirect, url_for, ) import artascope.src.web.lib.filter as module_filter from artascope.src.web.lib.content_processor import inject_version d...

23.113636

66

0.67355

131

1,017

5.038168

0.496183

0.10303

0.090909

0.054545

0

0.021684

0.229105

1,017

43

67

23.651163

0.820153

0.184857

0

0.029233

0

1

0.071429

false

0

0.25

0.035714

0.392857

0.107143

0

null

0

null

0

1

0

f4584d9b2545719be7d26d0474bfda0fc16fc902

2,251

py

Python

tests/common/test_op/scatter_nd.py

KnowingNothing/akg-test

114d8626b824b9a31af50a482afc07ab7121862b

[ "Apache-2.0" ]

1

2020-08-31T02:43:43.000Z

tests/common/test_op/scatter_nd.py

KnowingNothing/akg-test

114d8626b824b9a31af50a482afc07ab7121862b

[ "Apache-2.0" ]

null

tests/common/test_op/scatter_nd.py

KnowingNothing/akg-test

114d8626b824b9a31af50a482afc07ab7121862b

[ "Apache-2.0" ]

null

# Copyright 2019 Huawei Technologies Co., Ltd # # 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...

37.516667

105

0.676588

331

2,251

4.537764

0.407855

0.039947

0.01731

0.021305

0.082557

0.054594

0

0.019263

0.215904

2,251

59

106

38.152542

0.831728

0.436251

0

0.102395

0

1

0.086957

false

0

0.086957

0.043478

0.26087

0

null

0

null

0

1

0

f458c5e01d9e2170ec0f7c2f7180c5b33bb75bc9

16,446

py

Python

spc/backend_utils.py

adamnew123456/spc

8809d1817f66cf8266f145aa0c2474b32dc1087a

[ "MIT" ]

1

2017-10-15T19:55:48.000Z

spc/backend_utils.py

adamnew123456/spc

8809d1817f66cf8266f145aa0c2474b32dc1087a

[ "MIT" ]

null

spc/backend_utils.py

adamnew123456/spc

8809d1817f66cf8266f145aa0c2474b32dc1087a

[ "MIT" ]

null

""" Utility functions and classes shared by multiple backends """ from collections import namedtuple import logging from . import symbols from . import types LOGGER = logging.getLogger('spc.backend_utils') # NameContexts encapsulate both the function stack (which holds values) and # the symbol table context (which b...

34.2625

93

0.623921

2,060

16,446

4.786893

0.195146

0.018457

0.021904

0.012778

0.366596

0.308488

0.229186

0.151303

0.137511

0.112767

0

0.004124

0.292229

16,446

479

94

34.334029

0.843041

0.310167

0

0.229358

0

0.040722

0

1

0.211009

false

0.004587

0.018349

0

0.40367

0

null

0

null

0

1

0

1

f45a0afb4a750100d6616bb61de6015d31db9869

25

py

Python

heareval/__init__.py

neuralaudio/hear-eval-kit

f92119592954544dfb417f8e9aea21eadb4a65d0

[ "Apache-2.0" ]

24

2021-07-26T21:21:46.000Z

2022-03-30T08:10:13.000Z

heareval/__init__.py

neuralaudio/hear-eval-kit

f92119592954544dfb417f8e9aea21eadb4a65d0

[ "Apache-2.0" ]

196

2021-07-26T17:58:23.000Z

2022-01-26T17:40:25.000Z

heareval/__init__.py

neuralaudio/hear-eval-kit

f92119592954544dfb417f8e9aea21eadb4a65d0

[ "Apache-2.0" ]

3

2021-08-10T13:12:53.000Z

2022-03-19T05:00:50.000Z

__version__ = "2021.0.6"

12.5

24

0.68

4

25

3.25

1

0

0.272727

0.12

25

1

25

0.318182

0

0.32

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

f45c36a2a7c87d236af65ffb124e4f77205e7048

744

py

Python

recommender_engine/similarity_measure/__init__.py

tranlyvu/recommender

4985c355d54ee22ba48f4891077fd7e12bd21b47

[ "Apache-2.0" ]

8

2019-03-14T07:53:51.000Z

2021-06-22T06:19:32.000Z

recommender_engine/similarity_measure/__init__.py

tranlyvu/recommender-engine

4985c355d54ee22ba48f4891077fd7e12bd21b47

[ "Apache-2.0" ]

3

2018-01-16T06:48:55.000Z

2020-05-04T01:43:14.000Z

recommender_engine/similarity_measure/__init__.py

tranlyvu/recommender-engine

4985c355d54ee22ba48f4891077fd7e12bd21b47

[ "Apache-2.0" ]

1

2019-03-14T07:53:59.000Z

""" recommender_engine ----- recommender_engine is a recommendation application using either item-based or user-based approaches :copyright: (c) 2016 - 2019 by Tran Ly Vu. All Rights Reserved. :license: Apache License 2.0 """ from .cosine import cosine from .euclidean_distance import euclidean_distance from .p...

33.818182

100

0.766129

94

744

5.62766

0.5

0.056711

0.075614

0.068053

0.177694

0

0.031008

0.133065

744

21

101

35.428571

0.789147

0.30914

0

0.439216

0.101961

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

f45caefa61ce261896189f11de67dd4621b4cff1

44

py

Python

code/abc057_a_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

3

2019-08-16T16:55:48.000Z

2021-04-11T10:21:40.000Z

code/abc057_a_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

code/abc057_a_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

a,b=map(int,input().split()) print((a+b)%24)

22

28

0.613636

10

44

2.7

0.8

0.148148

0

0.046512

0.022727

44

2

29

22

0.581395

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

f45d781494a8e177d3301348e5cd3f98b7503c8a

1,925

py

Python

8/8_9.py

kopsh/python_cookbook

298c092cd20404a0755e2170776c44a04e8648ad

[ "CNRI-Python" ]

null

8/8_9.py

kopsh/python_cookbook

298c092cd20404a0755e2170776c44a04e8648ad

[ "CNRI-Python" ]

null

8/8_9.py

kopsh/python_cookbook

298c092cd20404a0755e2170776c44a04e8648ad

[ "CNRI-Python" ]

null

class CheckType: r""" 8.9 创建新的类或实例属性使用描述器，实现参数类型检查 >>> @ParamAssert(a=int, b=list) ... class A: ... def __init__(self, a, b): ... self.a = a ... self.b = b >>> a = A(1, []) """ def __init__(self, name, expected_type): self.name = name sel...

25.666667

106

0.535584

229

1,925

4.19214

0.279476

0.083333

0.057292

0.0625

0.361458

0.320833

0.258333

0.189583

0.1

0

0.006284

0.338701

1,925

75

107

25.666667

0.74784

0.156364

0

0.27907

0

0.05642

0

0.023256

1

0.209302

false

0

0.023256

0

0.488372

0

null

0

null

0

1

0

1

f45dfb481b367182927b34141a1df143252d871f

7,306

py

Python

test/examples/test_simple_gp_regression.py

ediphy-dwild/gpytorch

559c78a6446237ed7cc8e1cc7cf4ed8bf31a3c8a

[ "MIT" ]

null

test/examples/test_simple_gp_regression.py

ediphy-dwild/gpytorch

559c78a6446237ed7cc8e1cc7cf4ed8bf31a3c8a

[ "MIT" ]

null

test/examples/test_simple_gp_regression.py

ediphy-dwild/gpytorch

559c78a6446237ed7cc8e1cc7cf4ed8bf31a3c8a

[ "MIT" ]

null

import math import torch import unittest import gpytorch from torch import optim from torch.autograd import Variable from gpytorch.kernels import RBFKernel from gpytorch.means import ConstantMean from gpytorch.likelihoods import GaussianLikelihood from gpytorch.random_variables import GaussianRandomVariable # Simple ...

38.861702

88

0.634684

861

7,306

5.147503

0.190476

0.05528

0.051895

0.017599

0.680054

0.641245

0.604919

0.556859

0.536101

0.490523

0

0.016205

0.273611

7,306

187

89

39.069519

0.818918

0.116343

0

0.5

0

0.001244

0

0.051471

1

0.044118

false

0

0.073529

0

0.139706

0

null

0

null

0

1

0

f45ec536c2f2748641c051d8785db2394218cb3f

4,264

py

Python

samples/RiskManagement/Verification/customer-match-denied-parties-list.py

snavinch/cybersource-rest-samples-python

adb7a6b4b55dff6ac833295192d6677b53003c16

[ "MIT" ]

21

2019-01-22T17:48:32.000Z

2022-02-07T17:40:58.000Z

samples/RiskManagement/Verification/customer-match-denied-parties-list.py

broadpay/cybersource-rest-samples-python

f7af6f58c70ea3bf725d34929b40ee4b5fd4d77c

[ "MIT" ]

10

2018-12-03T22:45:17.000Z

2021-04-19T20:40:14.000Z

samples/RiskManagement/Verification/customer-match-denied-parties-list.py

broadpay/cybersource-rest-samples-python

f7af6f58c70ea3bf725d34929b40ee4b5fd4d77c

[ "MIT" ]

29

2018-11-09T11:44:53.000Z

2022-03-18T08:56:46.000Z

from CyberSource import * import os import json from importlib.machinery import SourceFileLoader config_file = os.path.join(os.getcwd(), "data", "Configuration.py") configuration = SourceFileLoader("module.name", config_file).load_module() # To delete None values in Input Request Json body def del_none(d): for ke...

38.414414

97

0.754221

290

4,264

10.793103

0.565517

0.006709

0.012141

0.016613

0.019169

0

0.013537

0.185741

4,264

110

98

38.763636

0.887961

0.011257

0

0.083294

0.010441

0

1

0.022222

false

0

0.044444

0

0.088889

0.033333

0

1

null

0

null

0

1

f45ec6261b1911d698e1ee71b90cc7668913450f

936

py

Python

SimulatePi.py

Lucchese-Anthony/MonteCarloSimulation

45a625b88dab6658b43b472d49d82aaeb1e847bd

[ "CC0-1.0" ]

null

SimulatePi.py

Lucchese-Anthony/MonteCarloSimulation

45a625b88dab6658b43b472d49d82aaeb1e847bd

[ "CC0-1.0" ]

null

SimulatePi.py

Lucchese-Anthony/MonteCarloSimulation

45a625b88dab6658b43b472d49d82aaeb1e847bd

[ "CC0-1.0" ]

null

import numpy as np import random import math import matplotlib.pyplot as plt import matplotlib.animation as animation from matplotlib import style angle = np.linspace( 0 , 2 * np.pi , 150) radius = 1 x = radius * np.cos(angle) y = radius * np.sin(angle) #prints the circle style.use('fivethirtyeight') fig = plt.f...

21.272727

55

0.628205

137

936

4.284672

0.459854

0.017036

0.035775

0.034072

0.078365

0

0.024828

0.225427

936

43

56

21.767442

0.784828

0.018162

0

0.027233

0

null

0

0.176471

null

0.058824

0

null

0

null

0

1

0

1

f45faefa310c1d7891d6abffc0a5f0a804569172

219

py

Python

run.py

aarvanitii/adminWebsite

cf9a07c287571ebbc9954326806b578f6d19a11b

[ "MIT" ]

null

run.py

aarvanitii/adminWebsite

cf9a07c287571ebbc9954326806b578f6d19a11b

[ "MIT" ]

null

run.py

aarvanitii/adminWebsite

cf9a07c287571ebbc9954326806b578f6d19a11b

[ "MIT" ]

null

""" This is where the web application starts running """ from app.index import create_app app = create_app() if __name__ == "__main__": app.secret_key = 'mysecret' app.run(port=8080, host="0.0.0.0", debug=True)

24.333333

50

0.694064

35

219

4.028571

0.742857

0.042553

0

0.043478

0.159817

219

9

50

24.333333

0.722826

0.219178

0

0.140244

0

1

0

false

0

0.2

0

0.2

0

null

0

1

0

null

0

1

f45fea1b8823dbd01877ae9035e910e81d5b7faa

267

py

Python

tareas/3/GarciaFigueroaAlberto-GarciaEdgar/Proceso.py

jorgelmp/sistop-2022-1

5c3b7e5215247533446aa006affe6cc64a48d989

[ "CC-BY-4.0" ]

6

2021-08-30T19:11:57.000Z

2021-09-05T01:30:59.000Z

tareas/3/GarciaFigueroaAlberto-GarciaEdgar/Proceso.py

jorgelmp/sistop-2022-1

5c3b7e5215247533446aa006affe6cc64a48d989

[ "CC-BY-4.0" ]

13

2021-09-07T22:24:47.000Z

2021-11-23T05:26:38.000Z

tareas/3/GarciaFigueroaAlberto-GarciaEdgar/Proceso.py

jorgelmp/sistop-2022-1

5c3b7e5215247533446aa006affe6cc64a48d989

[ "CC-BY-4.0" ]

33

2021-09-01T00:44:27.000Z

2022-02-09T06:17:55.000Z

class Proceso: def __init__(self,tiempo_de_llegada,t,id): self.t=t self.tiempo_de_llegada=tiempo_de_llegada self.id=id self.inicio=0 self.fin=0 self.T=0 self.E=0 self.P=0 self.tRestantes = t

22.25

48

0.565543

41

267

3.439024

0.390244

0.177305

0.319149

0.269504

0

0.028409

0.340824

267

11

49

24.272727

0.772727

0

1

0.090909

false

0

0.181818

0

null

0

1

0

null

0

2

f460edaf40609072f5da235373227615b76ded70

804

py

Python

Algo and DSA/LeetCode-Solutions-master/Python/smallest-greater-multiple-made-of-two-digits.py

Sourav692/FAANG-Interview-Preparation

f523e5c94d582328b3edc449ea16ac6ab28cdc81

[ "Unlicense" ]

3,269

2018-10-12T01:29:40.000Z

2022-03-31T17:58:41.000Z

Algo and DSA/LeetCode-Solutions-master/Python/smallest-greater-multiple-made-of-two-digits.py

Sourav692/FAANG-Interview-Preparation

f523e5c94d582328b3edc449ea16ac6ab28cdc81

[ "Unlicense" ]

53

2018-12-16T22:54:20.000Z

2022-02-25T08:31:20.000Z

Algo and DSA/LeetCode-Solutions-master/Python/smallest-greater-multiple-made-of-two-digits.py

Sourav692/FAANG-Interview-Preparation

f523e5c94d582328b3edc449ea16ac6ab28cdc81

[ "Unlicense" ]

1,236

2018-10-12T02:51:40.000Z

2022-03-30T13:30:37.000Z

# Time: sum(O(l * 2^l) for l in range(1, 11)) = O(20 * 2^10) = O(1) # Space: O(1) class Solution(object): def findInteger(self, k, digit1, digit2): """ :type k: int :type digit1: int :type digit2: int :rtype: int """ MAX_NUM_OF_DIGITS = 10 INT_MAX = ...

28.714286

69

0.452736

108

804

3.296296

0.37963

0.101124

0.033708

0.078652

0

0.087912

0.43408

804

27

70

29.777778

0.694505

0.174129

0

1

0.058824

false

0

0.235294

0

null

0

null

0

1

0

f4647df8f083e67396d2554f67110e5d8f963972

7,875

py

Python

aldryn_people/tests/test_plugins.py

compoundpartners/js-people

a3744c3880f6626e677034a693f337c927baf886

[ "BSD-3-Clause" ]

null

aldryn_people/tests/test_plugins.py

compoundpartners/js-people

a3744c3880f6626e677034a693f337c927baf886

[ "BSD-3-Clause" ]

1

2019-01-15T16:06:44.000Z

aldryn_people/tests/test_plugins.py

compoundpartners/js-people

a3744c3880f6626e677034a693f337c927baf886

[ "BSD-3-Clause" ]

1

2019-01-09T11:53:59.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals try: from django.core.urlresolvers import reverse except ImportError: # Django 2.0 from django.urls import reverse from django.utils.translation import force_text from cms import api from cms.utils.i18n import force_language from aldryn_peop...

38.985149

80

0.657143

939

7,875

5.315229

0.172524

0.043278

0.078141

0.046283

0.587257

0.564616

0.523542

0.499499

0.48307

0

0.004715

0.245841

7,875

201

81

39.179104

0.835663

0.139937

0

0.492958

0

0.019073

0

0.161972

1

0.077465

false

0.007042

0.091549

0

0.190141

0

null

0

null

0

1

0

f464a115da93371471e70429639150e5a6c40508

661

py

Python

turbo_transformers/python/tests/__init__.py

xcnick/TurboTransformers

48b6ba09af2219616c6b97cc5c09222408e080c2

[ "BSD-3-Clause" ]

1,147

2020-04-24T06:45:50.000Z

2022-03-30T15:33:16.000Z

turbo_transformers/python/tests/__init__.py

xcnick/TurboTransformers

48b6ba09af2219616c6b97cc5c09222408e080c2

[ "BSD-3-Clause" ]

140

2020-04-25T10:54:15.000Z

2022-03-11T08:13:11.000Z

turbo_transformers/python/tests/__init__.py

xcnick/TurboTransformers

48b6ba09af2219616c6b97cc5c09222408e080c2

[ "BSD-3-Clause" ]

151

2020-04-24T06:49:01.000Z

2022-03-21T13:48:54.000Z

# Copyright (C) 2020 THL A29 Limited, a Tencent company. # All rights reserved. # Licensed under the BSD 3-Clause License (the "License"); you may # not use this file except in compliance with the License. You may # obtain a copy of the License at # https://opensource.org/licenses/BSD-3-Clause # Unless required by appl...

50.846154

69

0.774584

104

661

4.923077

0.692308

0.117188

0.039063

0.0625

0

0.014493

0.164902

661

12

70

55.083333

0.913043

0.962179

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

f465aa8f0880334955fcdd358466dab059344d4b

355

py

Python

generate_joke.py

audreymychan/djsmile

8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5

[ "MIT" ]

5

2019-05-30T20:15:34.000Z

2020-04-16T08:21:16.000Z

generate_joke.py

audreymychan/djsmile

8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5

[ "MIT" ]

5

2021-08-25T14:43:34.000Z

2022-02-10T00:14:09.000Z

generate_joke.py

audreymychan/djsmile

8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5

[ "MIT" ]

null

# This script contains the get_joke() function to generate a new dad joke import requests def get_joke(): """Return new joke string from icanhazdadjoke.com.""" url = "https://icanhazdadjoke.com/" response = requests.get(url, headers={'Accept': 'application/json'}) raw_joke = response.json() joke ...

27.307692

73

0.687324

47

355

5.106383

0.595745

0.058333

0

0.185915

355

12

74

29.583333

0.83045

0.338028

0

1

0

0.231441

0

1

0.142857

false

0

0.142857

0

0.428571

0

null

0

1

0

null

0

1

f4677aa07e0ad3e8da44d44b35bfb9d27f0006a2

136

py

Python

bot/tests/test_triggers/__init__.py

elihschiff/Rubber-Duck-Python

24dea3b64a8a46368cd8dd995c800375f355b55e

[ "MIT" ]

7

2020-07-07T20:58:14.000Z

2021-12-23T02:51:20.000Z

bot/tests/test_triggers/__init__.py

elihschiff/Rubber-Duck-Python

24dea3b64a8a46368cd8dd995c800375f355b55e

[ "MIT" ]

null

bot/tests/test_triggers/__init__.py

elihschiff/Rubber-Duck-Python

24dea3b64a8a46368cd8dd995c800375f355b55e

[ "MIT" ]

1

2020-03-29T13:36:43.000Z

from .test_commands import all_commands all_triggers = all_commands from .test_quack import TestQuack all_triggers.append(TestQuack)

17

39

0.845588

19

136

5.736842

0.473684

0.146789

0

0.110294

136

7

40

19.428571

0.900826

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

f467e6d9c07196905aa29d2a65e967cb8686b8d6

445

py

Python

src/main/scripts/crassus_deployer_lambda.py

Scout24/crassus

8e3d5ff073181cabaf0e764c3d8be18fc7d27992

[ "Apache-2.0" ]

null

src/main/scripts/crassus_deployer_lambda.py

Scout24/crassus

8e3d5ff073181cabaf0e764c3d8be18fc7d27992

[ "Apache-2.0" ]

null

src/main/scripts/crassus_deployer_lambda.py

Scout24/crassus

8e3d5ff073181cabaf0e764c3d8be18fc7d27992

[ "Apache-2.0" ]

null

from __future__ import print_function from crassus import Crassus from crassus.output_converter import OutputConverter def handler(event, context): crassus = Crassus(event, context) crassus.deploy() def cfn_output_converter(event, context): """ Convert an AWS CloudFormation output message to our def...

24.722222

63

0.759551

50

445

6.56

0.5

0.182927

0.115854

0

0.173034

445

17

64

26.176471

0.891304

0.182022

0

1

0.222222

false

0

0.333333

0

0.555556

0.111111

0

null

0

null

0

1

0

1

0

2

f4680fe37289f7c11ee4bd2ba12292268d591a53

1,960

py

Python

Exareme-Docker/src/exareme/exareme-tools/madis/src/lib/pyreadline/clipboard/__init__.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

Exareme-Docker/src/exareme/exareme-tools/madis/src/lib/pyreadline/clipboard/__init__.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

Exareme-Docker/src/exareme/exareme-tools/madis/src/lib/pyreadline/clipboard/__init__.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

import sys success = False in_ironpython = "IronPython" in sys.version if in_ironpython: try: from ironpython_clipboard import GetClipboardText, SetClipboardText success = True except ImportError: pass else: try: from win32_clipboard import GetClipboardText, SetClipboardTex...

24.810127

79

0.558673

249

1,960

4.301205

0.293173

0.022409

0.014006

0.019608

0.239029

0.140056

0

0.001554

0.343367

1,960

78

80

25.128205

0.830614

0.078571

0

0.311475

0

0.026786

0

1

0.098361

false

0.016393

0.081967

0

0.311475

0

null

0

null

0

1

0

f4689432e90e3326c569ffdf5beb1c42f606d0c9

17,634

py

Python

mjrl/utils/train_agent.py

YujieLu10/tslam

1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd

[ "Apache-2.0" ]

null

mjrl/utils/train_agent.py

YujieLu10/tslam

1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd

[ "Apache-2.0" ]

null

mjrl/utils/train_agent.py

YujieLu10/tslam

1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd

[ "Apache-2.0" ]

null

import logging logging.disable(logging.CRITICAL) import math from tabulate import tabulate from mjrl.utils.make_train_plots import make_train_plots from mjrl.utils.gym_env import GymEnv from mjrl.samplers.core import sample_paths import numpy as np import torch import pickle import imageio import time as timer import o...

46.898936

260

0.60304

2,365

17,634

4.249894

0.157717

0.017909

0.022286

0.441847

0.40195

0.353199

0.318575

0.280171

0.269127

0

0.012919

0.258138

17,634

375

261

47.024

0.755389

0.089826

0

0.217391

0

0.016722

0.134997

0.073782

0

0.010033

1

0.010033

false

0

0.060201

0

0.083612

0.036789

0

null

0

null

0

1

0

f4691a885e026834c8813dea028eee2eea8dcb79

4,499

py

Python

src/tests/plugins/banktransfer/test_refund_export.py

NicsTr/pretix

e6d2380d9ed1836cc64a688b2be20d00a8500eab

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

null

src/tests/plugins/banktransfer/test_refund_export.py

NicsTr/pretix

e6d2380d9ed1836cc64a688b2be20d00a8500eab

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

null

src/tests/plugins/banktransfer/test_refund_export.py

NicsTr/pretix

e6d2380d9ed1836cc64a688b2be20d00a8500eab

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

null

import json from datetime import timedelta from decimal import Decimal import pytest from django.utils.timezone import now from pretix.base.models import Event, Order, OrderRefund, Organizer, Team, User from pretix.plugins.banktransfer.models import RefundExport from pretix.plugins.banktransfer.views import ( _ro...

33.080882

100

0.608357

506

4,499

5.280632

0.278656

0.033683

0.022455

0.049401

0.528817

0.508234

0.5

0.490644

0.471183

0

0.081645

0.243165

4,499

135

101

33.325926

0.703084

0

0.308333

0

0.269838

0.134919

0

0.091667

1

0.033333

false

0.016667

0.066667

0

0.108333

0

null

0

null

0

1

0

f469f8b898acc53c702a295cba9f7c500ecfacd0

872

py

Python

datawinners/alldata/urls.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

1

2015-11-02T09:11:12.000Z

datawinners/alldata/urls.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

null

datawinners/alldata/urls.py

ICT4H/dcs-web

fb0f53fad4401cfac1c1789ff28b9d5bda40c975

[ "Apache-2.0" ]

null

# vim: ai ts=4 sts=4 et sw=4 encoding=utf-8 from django.conf.urls.defaults import patterns, url from datawinners.alldata.views import get_entity_list_by_type from datawinners.alldata.views import smart_phone_instruction from datawinners.alldata.views import index, reports from datawinners.alldata.views import failed_s...

48.444444

114

0.751147

111

872

5.693694

0.387387

0.079114

0.166139

0.170886

0.414557

0.14557

0

0.005096

0.099771

872

17

115

51.294118

0.8

0.047018

0

0.310012

0.248492

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

null

0

1

0

2

f469fb9c0617beca4380191f4e87136c8e35c588

4,804

py

Python

NewLifeUtils/LoggerModule.py

NewLife1324/NewLifeUtils-Dev

d955ad801da879d2888506853b0d0141c15dfafc

[ "MIT" ]

2

2020-12-12T17:45:34.000Z

2020-12-16T15:00:05.000Z

NewLifeUtils/LoggerModule.py

NewLife1324/NewLifeUtils

d955ad801da879d2888506853b0d0141c15dfafc

[ "MIT" ]

null

NewLifeUtils/LoggerModule.py

NewLife1324/NewLifeUtils

d955ad801da879d2888506853b0d0141c15dfafc

[ "MIT" ]

null

from NewLifeUtils.ColorModule import ACC, MCC from NewLifeUtils.UtilsModule import hex_to_rgb from NewLifeUtils.FileModule import DataStorage, LogFile from NewLifeUtils.StringUtilModule import remove_csi from datetime import datetime import sys class Formatter(dict): def __init__(self, *args, date_format="%d-%m-%...

39.056911

164

0.580766

575

4,804

4.652174

0.217391

0.031402

0.042617

0.046729

0.238505

0.133084

0.110654

0

0.020011

0.251041

4,804

123

165

39.056911

0.723457

0

0.0625

0

0.017857

0.214776

0.053902

0

1

0.0625

false

0

0.053571

0.008929

0.241071

0

null

0

null

0

1

0

f46ac6dc3031a12623e226f71b58aeded4ff617c

440

py

Python

config/api_urls.py

elcolie/battleship

71b0a963c5b24ae243a193749813fec321d5f4d8

[ "MIT" ]

null

config/api_urls.py

elcolie/battleship

71b0a963c5b24ae243a193749813fec321d5f4d8

[ "MIT" ]

3

2018-04-22T04:40:25.000Z

2020-06-05T19:10:08.000Z

config/api_urls.py

elcolie/battleship

71b0a963c5b24ae243a193749813fec321d5f4d8

[ "MIT" ]

null

from rest_framework import routers from boards.api.viewsets import BoardViewSet from fleets.api.viewsets import FleetViewSet from missiles.api.viewsets import MissileViewSet app_name = 'api' router = routers.DefaultRouter() router.register(r'boards', BoardViewSet, base_name='board') router.register(r'fleets', FleetV...

29.333333

65

0.811364

56

440

6.285714

0.446429

0.09375

0.144886

0

0.086364

440

14

66

31.428571

0.875622

0

0.090909

0

1

0

false

0

0.4

0

0.4

0

null

0

null

0

1

0

1

f46b0b539cef945ee6aa318ff4cb5a94326430db

6,290

py

Python

mealpy/evolutionary_based/MA.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

1

2021-08-07T16:30:48.000Z

mealpy/evolutionary_based/MA.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

null

mealpy/evolutionary_based/MA.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

null

#!/usr/bin/env python # ------------------------------------------------------------------------------------------------------% # Created by "Thieu Nguyen" at 14:22, 11/04/2020 % # ...

42.214765

134

0.550397

744

6,290

4.419355

0.25672

0.019161

0.032847

0.025547

0.233273

0.133212

0.055961

0.037713

0

0.028833

0.321781

6,290

148

135

42.5

0.741913

0.296184

0

0.125

0

0.001187

0

1

0.090909

false

0

0.034091

0

0.261364

0.011364

0

null

0

null

0

1

0

f46c203558ba08eaf57d58a68abbbd1315976d22

16,106

py

Python

src/estimagic/estimation/estimate_ml.py

OpenSourceEconomics/estimagic

85163b4cdc601d60d654c6ca1f42b9db17a130a3

[ "MIT" ]

83

2019-09-26T04:44:03.000Z

2022-03-17T20:24:02.000Z

src/estimagic/estimation/estimate_ml.py

OpenSourceEconomics/estimagic

85163b4cdc601d60d654c6ca1f42b9db17a130a3

[ "MIT" ]

243

2019-06-25T18:15:53.000Z

2022-03-26T09:17:44.000Z

src/estimagic/estimation/estimate_ml.py

OpenSourceEconomics/estimagic

85163b4cdc601d60d654c6ca1f42b9db17a130a3

[ "MIT" ]

23

2019-07-03T11:16:55.000Z

2022-03-07T00:57:38.000Z

from estimagic.inference.ml_covs import cov_cluster_robust from estimagic.inference.ml_covs import cov_hessian from estimagic.inference.ml_covs import cov_jacobian from estimagic.inference.ml_covs import cov_robust from estimagic.inference.ml_covs import cov_strata_robust from estimagic.inference.shared import calculat...

47.934524

88

0.626537

1,841

16,106

5.318848

0.204237

0.019914

0.022467

0.018382

0.231618

0.201389

0.186172

0.141034

0.08701

0.070466

0

0.001297

0.234323

16,106

335

89

48.077612

0.792734

0.551782

0

0.087719

0

0.111242

0.003094

0

1

0.011696

false

0

0.087719

0

0.111111

0

null

0

null

0

1

0

f46ca3af523c02675160a6c57c283a2d49c86f50

6,503

py

Python

neural_architecture_search_appendix_a.py

NunoEdgarGFlowHub/neural_architecture_search_with_reinforcement_learning_appendix_a

67e4876d428e5155f5526ee02875b0a89a52305d

[ "MIT" ]

68

2017-01-31T06:35:53.000Z

2021-02-24T09:39:55.000Z

neural_architecture_search_appendix_a.py

NunoEdgarGFlowHub/neural_architecture_search_with_reinforcement_learning_appendix_a

67e4876d428e5155f5526ee02875b0a89a52305d

[ "MIT" ]

3

2017-05-14T13:41:39.000Z

2020-04-21T04:23:50.000Z

neural_architecture_search_appendix_a.py

NunoEdgarGFlowHub/neural_architecture_search_with_reinforcement_learning_appendix_a

67e4876d428e5155f5526ee02875b0a89a52305d

[ "MIT" ]

15

2017-03-16T03:04:46.000Z

2018-07-05T15:07:39.000Z

import six import chainer import numpy as np import chainer.links as L import chainer.functions as F import nutszebra_chainer import functools from collections import defaultdict class Conv(nutszebra_chainer.Model): def __init__(self, in_channel, out_channel, filter_size=(3, 3), stride=(1, 1), pad=(1, 1)): ...

42.227273

138

0.531755

1,011

6,503

3.288823

0.138477

0.090226

0.118195

0.137143

0.503158

0.438195

0.393083

0.377744

0.351579

0.350376

0

0.080375

0.311241

6,503

153

139

42.503268

0.661978

0.015685

0

0.192

0

0.004704

0

1

0.144

false

0

0.064

0.048

0.328

0

null

0

null

0

1

0

f46d4201935576f7c5b0f071b01e8b9a5b4caddc

2,945

py

Python

test/test_proportions_delta.py

quizlet/abracadabra

eda599bd02f14b96efdc521f53132d93c9100ede

[ "MIT" ]

24

2020-06-12T16:12:32.000Z

2021-09-01T12:25:38.000Z

test/test_proportions_delta.py

quizlet/abracadabra

eda599bd02f14b96efdc521f53132d93c9100ede

[ "MIT" ]

20

2020-06-12T06:26:08.000Z

2022-03-12T00:57:51.000Z

test/test_proportions_delta.py

quizlet/abracadabra

eda599bd02f14b96efdc521f53132d93c9100ede

[ "MIT" ]

4

2020-06-14T12:14:11.000Z

2021-05-28T15:36:44.000Z

import pytest from abra import Experiment, HypothesisTest def test_large_proportions_delta_expermiment(proportions_data_large): exp = Experiment(proportions_data_large, name='proportions-test') # run 'A/A' test test_aa = HypothesisTest( metric='metric', control='A', variation='A', ...

29.45

80

0.69236

352

2,945

5.482955

0.127841

0.058031

0.103627

0.119689

0.846632

0.829534

0.785492

0.760622

0

0.000855

0.206112

2,945

100

81

29.45

0.824636

0.040068

0

0.684932

0

0.111466

0

0.136986

1

0.082192

false

0

0.027397

0

0.109589

0

null

0

1

0

null

0

6

f46d89c9f6b67abfd2563de23f0ea1549928a68e

1,441

py

Python

src/bootils/plugins/core/jsw.py

Build-The-Web/bootils

8ee88f4d0583352f58fbb89c018e7caef8f07ce3

[ "Apache-2.0" ]

3

2015-03-25T23:00:58.000Z

2018-01-03T15:50:41.000Z

src/bootils/plugins/core/jsw.py

Build-The-Web/bootils

8ee88f4d0583352f58fbb89c018e7caef8f07ce3

[ "Apache-2.0" ]

8

2015-04-10T14:53:20.000Z

2015-12-18T09:59:58.000Z

src/bootils/plugins/core/jsw.py

Build-The-Web/bootils

8ee88f4d0583352f58fbb89c018e7caef8f07ce3

[ "Apache-2.0" ]

2

2015-09-10T13:01:09.000Z

2018-03-04T20:46:09.000Z

# -*- coding: utf-8 -*- # pylint: disable= """ Tanuki Java Service Wrapper runtime environment. Debian JSW paths (Wheezy 3.5.3; Jessie 3.5.22):: /usr/sbin/wrapper – ELF executable /usr/share/wrapper/daemon.sh /usr/share/wrapper/make-wrapper-init.sh /usr/share/wrapper/wrapper.conf "...

35.146341

74

0.700208

198

1,441

5.060606

0.621212

0.05988

0.04491

0.047904

0.083832

0

0.015517

0.195003

1,441

40

75

36.025

0.846552

0.70923

0

0.047222

0

0.025

0

1

0.25

false

0

0.25

0

0.875

0.25

0

null

0

null

0

1

0

1

0

2

f46df9cfbed7221c6dfc035138710969c22cfd18

1,992

py

Python

MachineLearning/hw1/models/LinearRegression.py

ChoKyuWon/SchoolProjects

71a5decefc85ae941ba2d537c4507ba8e615cc34

[ "MIT" ]

null

MachineLearning/hw1/models/LinearRegression.py

ChoKyuWon/SchoolProjects

71a5decefc85ae941ba2d537c4507ba8e615cc34

[ "MIT" ]

null

MachineLearning/hw1/models/LinearRegression.py

ChoKyuWon/SchoolProjects

71a5decefc85ae941ba2d537c4507ba8e615cc34

[ "MIT" ]

null

import numpy as np class LinearRegression: def __init__(self, num_features): self.num_features = num_features self.W = np.zeros((self.num_features, 1)) def train(self, x, y, epochs, batch_size, lr, optim): final_loss = None # loss of final epoch # Training should b...

33.2

89

0.449799

236

1,992

3.690678

0.334746

0.082664

0.086108

0.037887

0.091848

0.052813

0

0.006265

0.358936

1,992

59

90

33.762712

0.675803

0.293675

0

1

0.111111

false

0

0.027778

0

0.25

0

null

0

null

0

1

0

f46e88c174121a507ecd5ff0eff0efa5c6c1e776

1,655

py

Python

apps/bc_scraper/actions/schedule.py

aurmeneta/ramos-uc

364ab3c5a55032ab7ffc08665a2da4c5ff04ae58

[ "MIT" ]

7

2021-07-14T18:13:35.000Z

2021-11-21T20:10:54.000Z

apps/bc_scraper/actions/schedule.py

aurmeneta/ramos-uc

364ab3c5a55032ab7ffc08665a2da4c5ff04ae58

[ "MIT" ]

57

2021-07-10T01:31:56.000Z

2022-01-14T02:02:58.000Z

apps/bc_scraper/actions/schedule.py

aurmeneta/ramos-uc

364ab3c5a55032ab7ffc08665a2da4c5ff04ae58

[ "MIT" ]

4

2021-07-23T16:51:55.000Z

2021-08-31T02:41:41.000Z

from copy import copy DEFAULT_SCHEDULE = {} for day in "lmwjvs": for mod in "12345678": DEFAULT_SCHEDULE[day + mod] = "'FREE'" def process_schedule(text_sc): """For a given schedule text in BC format, returns the SQL queries for inserting the full schedule and schedule info. Those queries have t...

33.77551

87

0.583686

208

1,655

4.509615

0.360577

0.140725

0.072495

0.046908

0.168444

0.108742

0

0.012058

0.248338

1,655

48

88

34.479167

0.741961

0.140181

0

0.169044

0

1

0.029412

false

0

0.029412

0

0.088235

0

null

0

null

0

1

0

f46f4f4b92656a15af396d51e27d17942b2af4aa

9,739

py

Python

openstack_dashboard/dashboards/admin/volumes/views.py

NunoEdgarGFlowHub/horizon

73a0bbd43ea78ac5337f7d00977ec5f32452067e

[ "Apache-2.0" ]

1

2018-04-17T02:32:05.000Z

openstack_dashboard/dashboards/admin/volumes/views.py

NunoEdgarGFlowHub/horizon

73a0bbd43ea78ac5337f7d00977ec5f32452067e

[ "Apache-2.0" ]

3

2021-01-21T14:27:55.000Z

2021-06-10T23:08:49.000Z

openstack_dashboard/dashboards/admin/volumes/views.py

Surfndez/horizon

a56765b6b3dbc09fd467b83a57bea2433ae3909e

[ "Apache-2.0" ]

null

# Copyright 2012 Nebula, 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 agree...

38.34252

78

0.652736

1,122

9,739

5.442068

0.191622

0.039306

0.03734

0.029479

0.464297

0.381756

0.347036

0.310023

0.284966

0.24566

0

0.00137

0.250539

9,739

253

79

38.494071

0.835183

0.080193

0

0.398964

0

0.142026

0.065585

0

1

0.082902

false

0

0.07772

0.005181

0.466321

0

null

0

null

0

1

0

f46f5e7244355f200cf15f2877d74e3a5f0c0027

26

py

Python

tests/__init__.py

flowolf/yessssms

438928967aca38d3d2bb07799d3723757e928553

[ "MIT" ]

6

2015-02-17T09:51:11.000Z

2021-01-05T12:39:26.000Z

tests/__init__.py

flowolf/yessssms

438928967aca38d3d2bb07799d3723757e928553

[ "MIT" ]

1

2019-09-19T20:07:22.000Z

2019-09-24T09:24:04.000Z

tests/__init__.py

flowolf/yessssms

438928967aca38d3d2bb07799d3723757e928553

[ "MIT" ]

2

2017-05-06T09:14:19.000Z

2020-03-04T20:43:33.000Z

"""Tests for YesssSMS."""

13

25

0.615385

3

26

5.333333

1

0

0.115385

26

1

26

0.695652

0.730769

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

f4710b19edd2c97dbafb4bd7d15c47788db38366

677

py

Python

bldr/dep/env.py

bldr-cmd/bldr-cmd

300750fbccc2987efd23f69b7b2d76d8563e2995

[ "Apache-2.0" ]

null

bldr/dep/env.py

bldr-cmd/bldr-cmd

300750fbccc2987efd23f69b7b2d76d8563e2995

[ "Apache-2.0" ]

null

bldr/dep/env.py

bldr-cmd/bldr-cmd

300750fbccc2987efd23f69b7b2d76d8563e2995

[ "Apache-2.0" ]

null

# This is used by Environment to populate its env # Due to circular dependencies it cannot reference other parts of bldr import toml def default(dotbldr_path: str) -> dict: dep = { 'config': toml.load(f"{dotbldr_path}/dependency.toml"), 'lock': toml.load(f"{dotbldr_path}/dependency.lock.toml") ...

37.611111

72

0.703102

103

677

4.456311

0.398058

0.167756

0.104575

0.191721

0.453159

0.444444

0.287582

0

0.175775

677

18

73

37.611111

0.822581

0.171344

0

0.254025

0.232558

0

1

0.230769

false

0

0.076923

0

0.538462

0

null

0

1

0

null

0

1

0

1

0

3

f471777a68cf3b70989f0f48f2b4ea4d759a30a8

5,382

py

Python

rasa-sample/actions.py

ijufumi/demo-python

b48bdebde172ca581a48346a77b12c30ff202e73

[ "MIT" ]

null

rasa-sample/actions.py

ijufumi/demo-python

b48bdebde172ca581a48346a77b12c30ff202e73

[ "MIT" ]

null

rasa-sample/actions.py

ijufumi/demo-python

b48bdebde172ca581a48346a77b12c30ff202e73

[ "MIT" ]

null

import re from typing import Any, Text, Dict, List from rasa_sdk import Action, Tracker from rasa_sdk.executor import CollectingDispatcher from rasa_sdk.events import SlotSet import lark_module class ActionHelloWorld(Action): state_map = {} def name(self) -> Text: return "action_hello_world" d...

35.642384

120

0.556856

544

5,382

5.306985

0.176471

0.067544

0.099065

0.072047

0.603395

0.57222

0.537236

0.437825

0.421198

0

0.01129

0.308807

5,382

150

121

35.88

0.764785

0.004274

0

0.491379

0

0.162218

0

1

0.086207

false

0

0.051724

0.043103

0.284483

0.086207

0

null

0

null

0

1

0

f471a2c4554505f4474a4ceb98a24f55991c2cdc

1,557

py

Python

parsers/politico.py

plympton/newsdiffs

2a055850bda850b9b6c28c989512d4e4b3e9b64e

[ "MIT" ]

null

parsers/politico.py

plympton/newsdiffs

2a055850bda850b9b6c28c989512d4e4b3e9b64e

[ "MIT" ]

null

parsers/politico.py

plympton/newsdiffs

2a055850bda850b9b6c28c989512d4e4b3e9b64e

[ "MIT" ]

null

from baseparser import BaseParser, grab_url, logger # Different versions of BeautifulSoup have different properties. # Some work with one site, some with another. # This is BeautifulSoup 3.2. from BeautifulSoup import BeautifulSoup # This is BeautifulSoup 4 import bs4 class PoliticoParser(BaseParser): domains = ...

35.386364

80

0.620424

196

1,557

4.852041

0.540816

0.02103

0.044164

0.042061

0

0.013664

0.247913

1,557

43

81

36.209302

0.798463

0.163776

0

0.132819

0.016216

0.035714

0

1

0.035714

false

0

0.107143

0

0.321429

0.071429

0

null

0

null

0

1

0

f472e924139d73818eedf6b97de856c2ca049e7a

6,535

py

Python

integration-tests/bats/server_multiclient_test.py

fairhopeweb/dolt

276b85b7b1287f883640ef3fcacb0bdb112749b2

[ "Apache-2.0" ]

2

2021-03-09T07:32:40.000Z

2021-06-11T21:41:30.000Z

integration-tests/bats/server_multiclient_test.py

albertusortiz/dolt

38fc4fcb0357a56eb97abdb25296f45571a5418f

[ "Apache-2.0" ]

null

integration-tests/bats/server_multiclient_test.py

albertusortiz/dolt

38fc4fcb0357a56eb97abdb25296f45571a5418f

[ "Apache-2.0" ]

1

2021-08-06T13:05:57.000Z

import os import sys from queue import Queue from threading import Thread from helper.pytest import DoltConnection # Utility functions def print_err(e): print(e, file=sys.stderr) def query(dc, query_str): return dc.query(query_str, False) def query_with_expected_error(dc, non_error_msg , query_str): ...

32.839196

140

0.680643

984

6,535

4.303862

0.197154

0.029752

0.01889

0.034711

0.320897

0.274616

0.212987

0.189138

0.150649

0.141677

0

0.016885

0.19342

6,535

198

141

33.005051

0.786568

0.096557

0

0.258993

0

0.028777

0.25594

0.046164

0

1

0.136691

false

0.007194

0.035971

0.014388

0.194245

0.028777

0

null

0

null

0

1

0

f47301fb50cbf2affb241d7c61d027660a0014ae

24,598

py

Python

messenger/client/messenger.py

marik348/python-messenger

6c1916b0df439cd997cb6e9376221fe587c3f1c1

[ "MIT" ]

2

2021-05-24T08:44:51.000Z

2022-03-17T10:41:48.000Z

messenger/client/messenger.py

marik348/python-messenger

6c1916b0df439cd997cb6e9376221fe587c3f1c1

[ "MIT" ]

1

2020-11-28T12:08:25.000Z

messenger/client/messenger.py

marik348/python-messegner

6c1916b0df439cd997cb6e9376221fe587c3f1c1

[ "MIT" ]

1

2021-05-24T08:50:42.000Z

from requests import get, post, exceptions from datetime import datetime from PyQt5 import QtWidgets, QtCore from PyQt5.QtWidgets import QMessageBox from PyQt5.QtGui import QFont from qtwidgets import PasswordEdit from client_commands import (help_client, online, status, myself, reg, role, ban, unban) from client_con...

38.982567

120

0.622693

2,858

24,598

5.187544

0.138209

0.034804

0.034129

0.041076

0.462701

0.415756

0.361122

0.334345

0.32153

0.271887

0

0.008887

0.277218

24,598

630

121

39.044444

0.825018

0.186275

0

0.429293

0

0.112184

0.011809

0

1

0.065657

false

0.113636

0.030303

0

0.179293

0

null

0

null

0

1

0

1

f475a7baedbb00d2706f41a680754762b1e5e2d7

6,599

py

Python

oscar/lib/python2.7/site-packages/prompt_toolkit/utils.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

oscar/lib/python2.7/site-packages/prompt_toolkit/utils.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

oscar/lib/python2.7/site-packages/prompt_toolkit/utils.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

from __future__ import unicode_literals import inspect import os import signal import sys import threading import weakref from wcwidth import wcwidth from six.moves import range __all__ = ( 'Event', 'DummyContext', 'get_cwidth', 'suspend_to_background_supported', 'is_conemu_ansi'...

27.381743

88

0.575542

772

6,599

4.76943

0.331606

0.010864

0.017382

0.015209

0

0.007738

0.334142

6,599

240

89

27.495833

0.830223

0.340052

0

0.114035

0

0.068948

0.008035

0

0.061404

1

0.140351

false

0.017544

0.078947

0

0.359649

0

null

0

null

0

1

0

f476ce15c4cf3ddf393197690eec2e823de61189

92,209

py

Python

lmdb/cffi.py

hirnimeshrampuresoftware/py-lmdb

9aa7560f8e1a89b437fb3fed7ea36f5888b7a963

[ "OLDAP-2.8" ]

185

2019-06-18T15:58:49.000Z

2022-03-09T09:42:57.000Z

lmdb/cffi.py

hirnimeshrampuresoftware/py-lmdb

9aa7560f8e1a89b437fb3fed7ea36f5888b7a963

[ "OLDAP-2.8" ]

114

2019-06-15T04:19:04.000Z

2022-03-30T06:34:44.000Z

lmdb/cffi.py

hirnimeshrampuresoftware/py-lmdb

9aa7560f8e1a89b437fb3fed7ea36f5888b7a963

[ "OLDAP-2.8" ]

32

2019-07-03T23:56:58.000Z

2022-02-12T04:46:16.000Z

# # Copyright 2013 The py-lmdb authors, all rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted only as authorized by the OpenLDAP # Public License. # # A copy of this license is available in the file LICENSE in the # top-level directory of the distribut...

37.728723

105

0.596298

11,551

92,209

4.570513

0.104233

0.016366

0.011138

0.013922

0.387525

0.349983

0.332386

0.307024

0.282381

0.265636

0

0.017764

0.305849

92,209

2,443

106

37.744167

0.807052

0.472405

0

0.290688

0

0.258397

0.023818

0

1

0.08094

false

0.001741

0.013055

0.005222

0.228895

0

null

0

null

0

1

0

f477633c1badf20c6b9aa7cdc1d086ce3dd6b193

6,425

py

Python

.virtual_documents/00_core.ipynb.py

AtomScott/image_folder_datasets

935580929abc9d8ec9eeaf944a0d3c670a09d04d

[ "Apache-2.0" ]

null

.virtual_documents/00_core.ipynb.py

AtomScott/image_folder_datasets

935580929abc9d8ec9eeaf944a0d3c670a09d04d

[ "Apache-2.0" ]

null

.virtual_documents/00_core.ipynb.py

AtomScott/image_folder_datasets

935580929abc9d8ec9eeaf944a0d3c670a09d04d

[ "Apache-2.0" ]

null

# default_exp core #hide from nbdev.showdoc import * from fastcore.test import * # export import os import torch from torch import nn from torch.nn import functional as F from torch.utils.data import DataLoader import warnings import torchvision from torchvision.datasets import MNIST, ImageFolder from torchvision...

32.286432

127

0.651518

803

6,425

5.048568

0.28269

0.017267

0.006167

0.00444

0.361618

0.344845

0.316724

0.260977

0.24223

0.21263

0

0.021994

0.242802

6,425

198

128

32.449495

0.811305

0.104591

0

0.23622

0

0.069134

0.023045

0

0.005051

0.015748

1

0.125984

false

0.015748

0.11811

0.023622

0.314961

0

null

0

null

0

1

0

f477a30d49ec339fb9956b3d20c8d92ea00908ad

641

py

Python

src/modules/iam/module.py

pgorecki/python-ddd

0073ccce35c651be263f5d7d3d63f9a49bc0b78a

[ "MIT" ]

10

2022-03-16T19:26:51.000Z

2022-03-31T23:50:51.000Z

src/modules/iam/module.py

pgorecki/python-ddd

0073ccce35c651be263f5d7d3d63f9a49bc0b78a

[ "MIT" ]

null

src/modules/iam/module.py

pgorecki/python-ddd

0073ccce35c651be263f5d7d3d63f9a49bc0b78a

[ "MIT" ]

2

2022-03-16T19:26:54.000Z

2022-03-27T13:21:02.000Z

from seedwork.application.modules import BusinessModule from modules.iam.application.services import AuthenticationService class IdentityAndAccessModule(BusinessModule): def __init__(self, authentication_service: AuthenticationService): self.authentication_service = authentication_service # @staticm...

35.611111

94

0.730109

56

641

8.196429

0.589286

0.228758

0.108932

0

0.199688

641

17

95

37.705882

0.894737

0.446178

0

1

0.2

false

0

0.4

0

0.8

0

null

1

0

null

0

1

0

1

0

3

f477fec40612fa1a5fd9ffbd050a890ebec79d19

2,030

py

Python

test_scripts/pyfora2/containerTests.py

ufora/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

571

2015-11-05T20:07:07.000Z

2022-01-24T22:31:09.000Z

test_scripts/pyfora2/containerTests.py

timgates42/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

218

2015-11-05T20:37:55.000Z

2021-05-30T03:53:50.000Z

test_scripts/pyfora2/containerTests.py

timgates42/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

40

2015-11-07T21:42:19.000Z

2021-05-23T03:48:19.000Z

# Copyright 2015 Ufora 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 agreed to i...

33.833333

76

0.733005

227

2,030

6.515419

0.475771

0.052062

0.040568

0.056795

0.125761

0

0.011607

0.193596

2,030

59

77

34.40678

0.891875

0.278325

0

0.085714

0

0.035912

0

1

0.085714

false

0

0.257143

0

0.428571

0

null

0

null

0

1

0

f4782d553047c0d6c83eb8c3ac341a236af78e5e

597

py

Python

src/utils/torch_common.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

src/utils/torch_common.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

src/utils/torch_common.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

import os import gc import random import numpy as np import torch def seed_everything(seed): os.environ['PYTHONHASHSEED'] = str(seed) random.seed(seed) np.random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.backends.cudnn.deterministic = True torch.backends.cudnn.be...

21.321429

59

0.673367

80

597

4.9375

0.5625

0.081013

0.098734

0.096203

0

0.008565

0.217755

597

27

60

22.111111

0.837259

0.127303

0

0.027944

0

1

0.105263

false

0

0.263158

0

0.368421

0

null

0

null

0

1

0

f4793bd8d4530ee80fabe88563d6a3ddbecb48d2

6,713

py

Python

recipes/freeimage/all/conanfile.py

marsven/conan-center-index

d8bb4ad617cee02d8664e8341fa32cdf702e4284

[ "MIT" ]

null

recipes/freeimage/all/conanfile.py

marsven/conan-center-index

d8bb4ad617cee02d8664e8341fa32cdf702e4284

[ "MIT" ]

null

recipes/freeimage/all/conanfile.py

marsven/conan-center-index

d8bb4ad617cee02d8664e8341fa32cdf702e4284

[ "MIT" ]

null

from conans import ConanFile, CMake, tools import os import shutil required_conan_version = ">=1.43.0" class FreeImageConan(ConanFile): name = "freeimage" description = "Open Source library project for developers who would like to support popular graphics image formats"\ "like PNG, BMP, JPE...

40.439759

120

0.619097

791

6,713

5.078382

0.219975

0.093104

0.10829

0.076176

0.379885

0.188449

0.156585

0.147623

0.127209

0.048793

0

0.014162

0.242663

6,713

165

121

40.684848

0.775964

0

0.156463

0

0.216148

0.003575

0

1

0.081633

false

0

0.020408

0.013605

0.217687

0

null

0

null

0

1

0

f47944bb4b7b60683bb6b4d4d72854dfc4c98c2a

110,180

py

Python

src/google/appengine/datastore/datastore_query.py

myelin/appengine-python-standard

2a99acd114f7cdd66fbad9bfd185384eef847c84

[ "Apache-2.0" ]

null

src/google/appengine/datastore/datastore_query.py

myelin/appengine-python-standard

2a99acd114f7cdd66fbad9bfd185384eef847c84

[ "Apache-2.0" ]

null

src/google/appengine/datastore/datastore_query.py

myelin/appengine-python-standard

2a99acd114f7cdd66fbad9bfd185384eef847c84

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright 2007 Google LLC # # 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...

32.482311

81

0.690634

14,487

110,180

4.991648

0.064748

0.019291

0.033009

0.026385

0.433955

0.362184

0.289653

0.244033

0.222543

0.191222

0

0.003428

0.232274

110,180

3,391

82

32.49189

0.851468

0.297205

0

0.351882

0

0.05479

0.00705

0

0.001637

1

0.118385

false

0.000546

0.010366

0.027278

0.278232

0.000546

0

null

0

null

0

1

0

f479e4c7564b46ceb9cbf0369fdeb3cac10260f7

4,274

py

Python

tests/Metrics/test_recall.py

Neklaustares-tPtwP/torchflare

7af6b01ef7c26f0277a041619081f6df4eb1e42c

[ "Apache-2.0" ]

1

2021-09-14T08:38:05.000Z

tests/Metrics/test_recall.py

weidao-Shi/torchflare

3c55b5a0761f2e85dd6da95767c6ec03f0f5baad

[ "Apache-2.0" ]

null

tests/Metrics/test_recall.py

weidao-Shi/torchflare

3c55b5a0761f2e85dd6da95767c6ec03f0f5baad

[ "Apache-2.0" ]

1

2021-08-06T19:24:43.000Z

# flake8: noqa import warnings import pytest import torch from sklearn.exceptions import UndefinedMetricWarning from sklearn.metrics import recall_score from torchflare.metrics.recall_meter import Recall from torchflare.metrics.meters import _BaseInputHandler torch.manual_seed(42) def test_binary_inputs(): def...

33.920635

111

0.654422

536

4,274

5.050373

0.141791

0.077577

0.046546

0.069819

0.878833

0.877724

0.85556

0.846694

0

0.022175

0.229761

4,274

125

112

34.192

0.800122

0.002808

0

0.614458

0

0.017371

0

0.108434

1

0.072289

false

0

0.084337

0

0.156627

0

null

0

1

0

null

0

6

f47a1ea7f8990d7f8f0d9190441ddb6344e10412

1,785

py

Python

parsing/tests/test_utils.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

1

2020-11-14T13:06:42.000Z

parsing/tests/test_utils.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

null

parsing/tests/test_utils.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

null

from __future__ import unicode_literals import unittest from ..utils import compose, flatten, truncate, join, unary, equals class TestEquals(unittest.TestCase): def test_it_should_return_a_function_that_compares_against_x(self): self.assertTrue(equals(234)(234)) self.assertFalse(equals(234)(123)...

30.775862

87

0.652101

223

1,785

4.982063

0.336323

0.162016

0.10261

0.124212

0.225023

0.178218

0

0.038765

0.219608

1,785

57

88

31.315789

0.758794

0

0.04878

0

0.061064

0.017927

0

0.341463

1

0.146341

false

0

0.073171

0

0.365854

0

null

0

null

0

1

0

f47b6c51761fb432f29fb2e6eb1f0ea2e885172e

1,807

py

Python

Array/Final450/Move_Negative_Nums_To_One_End/relative_order_matters/move_negative_nums_to_one_end--insertion_sort_modified.py

prash-kr-meena/GoogleR

27aca71e51cc2442e604e07ab00406a98d8d63a4

[ "Apache-2.0" ]

null

Array/Final450/Move_Negative_Nums_To_One_End/relative_order_matters/move_negative_nums_to_one_end--insertion_sort_modified.py

prash-kr-meena/GoogleR

27aca71e51cc2442e604e07ab00406a98d8d63a4

[ "Apache-2.0" ]

null

Array/Final450/Move_Negative_Nums_To_One_End/relative_order_matters/move_negative_nums_to_one_end--insertion_sort_modified.py

prash-kr-meena/GoogleR

27aca71e51cc2442e604e07ab00406a98d8d63a4

[ "Apache-2.0" ]

null

from Utils.Array import input_array # Time : O(n2) # Space : O(1) Constant space """ Ill be having 2 pointers here one of them will move through the array looking for -ve numbers to operate on and another will be pointing to the correct location where i can put the -ve elements, after i find them also this same...

34.09434

105

0.646375

301

1,807

3.757475

0.415282

0.035367

0.04244

0.056587

0.091954

0

0.036378

0.285003

1,807

52

106

34.75

0.839009

0.203652

0

0.012862

0

1

0.058824

false

0

0.058824

0

0.117647

0.058824

0

null

0

null

0

1

0

f47c09e34304fe10a016d16f624d1fb84ab59f99

2,786

py

Python

python_test/test_epoll/test_epoll.py

zhtsh/test-examples

ed5a45bf8546a9bd7fc35e38f9679be385d0d9e6

[ "Apache-2.0" ]

null

python_test/test_epoll/test_epoll.py

zhtsh/test-examples

ed5a45bf8546a9bd7fc35e38f9679be385d0d9e6

[ "Apache-2.0" ]

null

python_test/test_epoll/test_epoll.py

zhtsh/test-examples

ed5a45bf8546a9bd7fc35e38f9679be385d0d9e6

[ "Apache-2.0" ]

null

# coding=utf8 import socket import select from datetime import datetime from datetime import timedelta EOL = b'\n\n' response = b'HTTP/1.0 200 OK\nDate: Mon, 1 Jan 1996 01:01:01 GMT\n' response += b'Content-Type: text/plain\nContent-Length: 13\n\n' response += b'Hello, world!\n' # 创建套接字对象并绑定监听端口 servers...

38.164384

79

0.561378

260

2,786

5.996154

0.4

0.076331

0.019243

0.014112

0.105837

0.071841

0

0.021253

0.34135

2,786

72

80

38.694444

0.828338

0.145011

0

0.240741

0

0.018519

0.055314

0.01176

0

1

0

false

0

0.074074

0

0.074074

0.055556

0

null

0

null

0

1

0

f47cd9858ae9886cfca8b27e46c09a635662d571

2,771

py

Python

20.2-Donut/Donut2.py

Kehvarl/AdventOfCode2019

f72cfeefdfbde365bc9a5b722d5875d556379cf2

[ "MIT" ]

1

2020-09-27T23:02:46.000Z

20.2-Donut/Donut2.py

Kehvarl/AdventOfCode2019

f72cfeefdfbde365bc9a5b722d5875d556379cf2

[ "MIT" ]

null

20.2-Donut/Donut2.py

Kehvarl/AdventOfCode2019

f72cfeefdfbde365bc9a5b722d5875d556379cf2

[ "MIT" ]

1

2019-12-09T17:10:48.000Z

import collections from pprint import pprint example1 = open("input.txt", "r").read() # grid = [[val for val in line] for line in example1.split("\n")] grid = example1.split("\n") length = 0 for line in grid: length = max(len(line), length) out = [] for line in grid: out.append(line[::-1].zfill(length)[::-1...

24.741071

93

0.498015

425

2,771

3.103529

0.223529

0.030326

0.018196

0.02047

0.052312

0.043215

0

0.021906

0.341032

2,771

111

94

24.963964

0.700438

0.067124

0

0.051282

0

0.010089

0

1

0.012821

false

0

0.025641

0

0.064103

0

null

0

null

0

1

0

f47e72619d39a8c165d31a3169ddc7283ecd466a

845

py

Python

OR_Client_Library/openrefine_client/tests/test_history.py

idaks/OpenRefine-Provenance-Tools

cc469c3eb8e56c8b0f4616cc501546db3c4176ea

[ "MIT" ]

null

OR_Client_Library/openrefine_client/tests/test_history.py

idaks/OpenRefine-Provenance-Tools

cc469c3eb8e56c8b0f4616cc501546db3c4176ea

[ "MIT" ]

null

OR_Client_Library/openrefine_client/tests/test_history.py

idaks/OpenRefine-Provenance-Tools

cc469c3eb8e56c8b0f4616cc501546db3c4176ea

[ "MIT" ]

null

#!/usr/bin/env python """ test_history.py """ # Copyright (c) 2011 Paul Makepeace, Real Programmers. All rights reserved. import unittest from OR_Client_Library.openrefine_client.google.refine.history import * class HistoryTest(unittest.TestCase): def test_init(self): response = { u"code": ...

26.40625

75

0.60355

95

845

5.231579

0.568421

0.090543

0.120724

0.088531

0.080483

0

0.095847

0.259172

845

31

76

27.258065

0.698083

0.130178

0

0.190083

0

0.157895

1

0.052632

false

0

0.105263

0

0.210526

0

null

0

null

0

1

0

f47f72a41b188aa9caae89718d01a31bf276031b

6,160

py

Python

tests/batch/test_get_batch.py

Remmeauth/remme-core-cli

94cc09fe9d2e718b45273dde68d6c672c4773f6a

[ "MIT" ]

null

tests/batch/test_get_batch.py

Remmeauth/remme-core-cli

94cc09fe9d2e718b45273dde68d6c672c4773f6a

[ "MIT" ]

94

2019-03-27T09:34:28.000Z

2019-08-27T05:32:33.000Z

tests/batch/test_get_batch.py

Remmeauth/remme-core-cli

94cc09fe9d2e718b45273dde68d6c672c4773f6a

[ "MIT" ]

6

2019-06-06T15:16:38.000Z

2020-02-24T12:55:55.000Z

""" Provide tests for command line interface's get batch command. """ import json import pytest from click.testing import CliRunner from cli.constants import ( DEV_BRANCH_NODE_IP_ADDRESS_FOR_TESTING, FAILED_EXIT_FROM_COMMAND_CODE, PASSED_EXIT_FROM_COMMAND_CODE, ) from cli.entrypoint import cli from cli.ut...

34.606742

118

0.63961

537

6,160

7.013035

0.242086

0.040892

0.027881

0.035316

0.348115

0.294211

0.263675

0.237918

0.187201

0

0.148123

0.27776

6,160

177

119

34.80226

0.698359

0.099513

0

0.507813

0

0.347171

0.239713

0

0.078125

1

0.039063

false

0.03125

0.046875

0

0.085938

0

null

0

null

0

1

0

f480097de648b87f17c2df8fc143686ff51cd136

364

py

Python

experiments/scripts/preprocess_dataset.py

pbielak/graph-barlow-twins

f8e20134afed4f17ffcecf8f48764df362ffdcad

[ "MIT" ]

9

2021-06-11T13:23:50.000Z

2022-03-23T19:45:54.000Z

experiments/scripts/preprocess_dataset.py

pbielak/graph-barlow-twins

f8e20134afed4f17ffcecf8f48764df362ffdcad

[ "MIT" ]

2

2021-09-22T13:58:39.000Z

2021-11-23T02:26:50.000Z

experiments/scripts/preprocess_dataset.py

pbielak/graph-barlow-twins

f8e20134afed4f17ffcecf8f48764df362ffdcad

[ "MIT" ]

2

2021-06-10T06:05:47.000Z

2021-09-27T15:13:23.000Z

import sys from gssl.datasets import load_dataset from gssl.inductive.datasets import load_ppi from gssl.utils import seed def main(): seed() # Read dataset name dataset_name = sys.argv[1] # Load dataset if dataset_name == "PPI": load_ppi() else: load_dataset(name=dataset_na...

15.826087

44

0.662088

49

364

4.612245

0.387755

0.243363

0.159292

0.19469

0

0.00365

0.247253

364

22

45

16.545455

0.821168

0.082418

0

0.033233

0

1

0.076923

false

0

0.307692

0

0.384615

0

null

1

0

1

0

null

0

1

0

3

f48259ce6371a22b92ea0a936d7be4886d4013dc

4,030

py

Python

agro_site/orders/migrations/0001_initial.py

LukoninDmitryPy/agro_site-2

eab7694d42104774e5ce6db05a79f11215db6ae3

[ "MIT" ]

null

agro_site/orders/migrations/0001_initial.py

LukoninDmitryPy/agro_site-2

eab7694d42104774e5ce6db05a79f11215db6ae3

[ "MIT" ]

null

agro_site/orders/migrations/0001_initial.py

LukoninDmitryPy/agro_site-2

eab7694d42104774e5ce6db05a79f11215db6ae3

[ "MIT" ]

1

2022-03-13T11:32:48.000Z

# Generated by Django 2.2.16 on 2022-04-12 13:28 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.db.models.expressions import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ('sales...

52.337662

205

0.6134

419

4,030

5.732697

0.307876

0.054954

0.058285

0.073272

0.374271

0.345545

0.318068

0

0.011408

0.23871

4,030

76

206

53.026316

0.771512

0.011414

0

0.333333

1

0

0.133099

0.005274

0

1

0

false

0

0.072464

0

0.130435

0

null

0

1

0

null

0

1

f482b268cafb6a5a7b275bd6f15025933187f73e

881

py

Python

app/forms.py

FakeYou/flask-microblog

021b786417a2ae1aaa957661beb25d381a7efdb2

[ "MIT" ]

null

app/forms.py

FakeYou/flask-microblog

021b786417a2ae1aaa957661beb25d381a7efdb2

[ "MIT" ]

null

app/forms.py

FakeYou/flask-microblog

021b786417a2ae1aaa957661beb25d381a7efdb2

[ "MIT" ]

null

from flask.ext.wtf import Form from wtforms import StringField, BooleanField, PasswordField from wtforms.validators import InputRequired, Email, EqualTo, Length class LoginForm(Form): nickname = StringField('nickname', validators=[InputRequired()]) password = PasswordField('password', validators=[InputRequired...

48.944444

104

0.704881

80

881

7.7375

0.4

0.22294

0.074313

0.100162

0.342488

0.174475

0

0.004098

0.169126

881

18

105

48.944444

0.84153

0

0.133333

0

0.106576

0

1

0

false

0.333333

0.2

0

0.933333

0

null

1

0

null

0

1

0

1

0

3

f482d9773506167246440d9307b62395f61caa1a

2,353

py

Python

ais3-pre-exam-2022-writeup/Misc/JeetQode/chall/problems/astmath.py

Jimmy01240397/balsn-2021-writeup

91b71dfbddc1c214552280b12979a82ee1c3cb7e

[ "MIT" ]

null

ais3-pre-exam-2022-writeup/Misc/JeetQode/chall/problems/astmath.py

Jimmy01240397/balsn-2021-writeup

91b71dfbddc1c214552280b12979a82ee1c3cb7e

[ "MIT" ]

null

ais3-pre-exam-2022-writeup/Misc/JeetQode/chall/problems/astmath.py

Jimmy01240397/balsn-2021-writeup

91b71dfbddc1c214552280b12979a82ee1c3cb7e

[ "MIT" ]

null

from problem import Problem from typing import Any, Tuple from random import randint import ast import json def gen_num(): return str(randint(1, 9)) def gen_op(): return "+-*/"[randint(0, 3)] def gen_expr(depth): if randint(0, depth) == 0: l = gen_expr(depth + 1) r = gen_expr(depth + 1...

37.349206

800

0.592435

344

2,353

3.866279

0.258721

0.105263

0.075188

0.120301

0.394737

0.322556

0.286466

0.224812

0

0.050674

0.211645

2,353

62

801

37.951613

0.666307

0

0.104167

0

0.041667

0.557161

0

0.023799

0

1

0.166667

false

0

0.104167

0.125

0.5

0

null

0

null

0

1

0

1

f4838193c2db95eaa11b6561ddf47a01a31acc59

690

py

Python

pyllusion/movement/movement_circles.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

pyllusion/movement/movement_circles.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

pyllusion/movement/movement_circles.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

import numpy as np from .movement_matrix import movement_matrix from ..image import image_circles def movement_circles(n=50, duration=2, fps=30, width=500, height=500, **kwargs): """ >>> import pyllusion as ill >>> >>> images = ill.movement_circles(n=50, duration=4, fps=30, color="black", size=0.05) ...

27.6

89

0.631884

101

690

4.188119

0.445545

0.066194

0.07565

0.085106

0.122931

0

0.038961

0.218841

690

24

90

28.75

0.745826

0.282609

0

1

0.083333

false

0

0.25

0

0.416667

0

null

0

null

0

1

0

f484180dc11ca61b16fecb37c23ed96a63de8738

6,853

py

Python

sce.py

hzwfl2/Semantic-consistent-Embedding

d3712cc6f27febbf654e1eb8c43c0b48376a9be1

[ "MIT" ]

2

2021-12-22T07:39:30.000Z

2022-01-02T14:45:39.000Z

sce.py

hch-xmu/Semantic-consistent-Embedding

2e408267095079d70daff6b391209aabb3d9acd3

[ "MIT" ]

null

sce.py

hch-xmu/Semantic-consistent-Embedding

2e408267095079d70daff6b391209aabb3d9acd3

[ "MIT" ]

3

2021-12-16T12:56:10.000Z

2022-01-18T02:03:31.000Z

#%% import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score from sklearn.naive_bayes import GaussianNB f...

33.758621

168

0.618707

954

6,853

4.232704

0.220126

0.010896

0.020802

0.011887

0.116147

0.072808

0.053492

0.027241

0

0.031585

0.223844

6,853

203

169

33.758621

0.72758

0.002773

0

0.013333

0

0.040906

0.013736

0

0.006667

1

0.073333

false

0

0.1

0.006667

0.246667

0.02

0

null

0

null

0

1

0

f484cdb74eddcab3519034cf17a9751d9384ce4d

1,876

py

Python

graphsage/partition_predict.py

colirain/GraphSAGE

a63145ff18f87cb69340c7b457c34839e9124086

[ "MIT" ]

null

graphsage/partition_predict.py

colirain/GraphSAGE

a63145ff18f87cb69340c7b457c34839e9124086

[ "MIT" ]

null

graphsage/partition_predict.py

colirain/GraphSAGE

a63145ff18f87cb69340c7b457c34839e9124086

[ "MIT" ]

null

import tensorflow as tf import numpy as np from graphsage.models import FCPartition from graphsage.partition_train import construct_placeholders from graphsage.utils import load_graph_data, load_embedded_data, load_embedded_idmap flags = tf.app.flags FLAGS = flags.FLAGS # flags.DEFINE_integer('dim_1', ...

30.754098

95

0.678038

254

1,876

4.744094

0.334646

0.082158

0.039834

0.033195

0.121992

0.087137

0

0.009908

0.192964

1,876

61

96

30.754098

0.785997

0.299041

0

0.041935

0

1

0.060606

false

0

0.151515

0

0.212121

0.060606

0

null

0

null

0

1

0

f484e0eafc21497bc2d0dc913be6480e2eceab78

13,307

py

Python

scripts/generate_XML_files/DS1/annotatedsen_to_xml.py

AmmarQaseem/CPI-Pipeline-test

3866883c54d7bd77753ee4b72997949bdcf76359

[ "PostgreSQL", "ISC", "Intel" ]

null

scripts/generate_XML_files/DS1/annotatedsen_to_xml.py

AmmarQaseem/CPI-Pipeline-test

3866883c54d7bd77753ee4b72997949bdcf76359

[ "PostgreSQL", "ISC", "Intel" ]

null

scripts/generate_XML_files/DS1/annotatedsen_to_xml.py

AmmarQaseem/CPI-Pipeline-test

3866883c54d7bd77753ee4b72997949bdcf76359

[ "PostgreSQL", "ISC", "Intel" ]

null

#!/usr/bin/env python # -*- coding: UTF-8 -*- """ Copyright (c) 2015, Elham Abbasian <e_abbasian@yahoo.com>, Kersten Doering <kersten.doering@gmail.com> This parser reads annotated sentences (output from get_relations.py) in a tab-separated format to generate a unified XML format (Tikk et al., 2010. A compreh...

58.364035

425

0.618622

1,814

13,307

4.409592

0.211687

0.048756

0.031629

0.016502

0.292787

0.24303

0.230404

0.217652

0.204651

0.185523

0

0.022917

0.252348

13,307

227

426

58.621145

0.781084

0.362441

0

0.307018

0

0.182658

0.02854

0.017544

0

0.008811

0

1

0

false

0

0.035088

0

0.035088

0

null

0

null

0

1

0

f484e4f5510b4a5e4e942079f6f30e54e25d0b89

488

py

Python

tests/test_add_contact.py

SergeyDorokhov/python_training

e15e561fe7ad055048643adcfc88b3f2d55530ca

[ "Apache-2.0" ]

null

tests/test_add_contact.py

SergeyDorokhov/python_training

e15e561fe7ad055048643adcfc88b3f2d55530ca

[ "Apache-2.0" ]

null

tests/test_add_contact.py

SergeyDorokhov/python_training

e15e561fe7ad055048643adcfc88b3f2d55530ca

[ "Apache-2.0" ]

null

def test_add_contact(app, db, json_contacts, check_ui): contact = json_contacts list_before = db.get_contact_list() contact.id_contact = app.contact.get_next_id(list_before) app.contact.create(contact) assert len(list_before) + 1 == len(db.get_contact_list()) list_after = db.get_contact_list() ...

44.363636

67

0.727459

72

488

4.597222

0.319444

0.151057

0.108761

0.145015

0.120846

0

0.002439

0.159836

488

11

67

44.363636

0.804878

0

0.272727

1

0.090909

false

0

0.090909

0

null

0

null

0

1

0

f485580fbee3d8993b0b04b4d71777a8883725b7

1,182

py

Python

website/members/urls.py

eamanu/asoc_members

bf2e99e9c63c60a59bdfd10ca1812d78851cbde6

[ "MIT" ]

null

website/members/urls.py

eamanu/asoc_members

bf2e99e9c63c60a59bdfd10ca1812d78851cbde6

[ "MIT" ]

null

website/members/urls.py

eamanu/asoc_members

bf2e99e9c63c60a59bdfd10ca1812d78851cbde6

[ "MIT" ]

null

from django.conf import settings from django.conf.urls.static import static from django.urls import path from members import views urlpatterns = [ path('solicitud-alta/', views.signup_initial, name='signup'), path('solicitud-alta/persona/', views.signup_form_person, name='signup_person'), path('solicitud-...

47.28

88

0.755499

147

1,182

5.857143

0.319728

0.111498

0.078978

0

0.102369

1,182

24

89

49.25

0.811499

0

0.334179

0.080372

0

1

0

false

0

0.210526

0

0.210526

0

null

0

null

0

1

0

f485c8b7834281c5e46b0be30ec91fef7f0a76cd

2,482

py

Python

Benchmarking/Keras/Tensorflow/TF_dataforcomparisongraphss.py

vais-ral/CCPi-ML

ca9baeb0dd5db3a97ac8ab9e33e03aeae42ebfa4

[ "Apache-2.0" ]

null

Benchmarking/Keras/Tensorflow/TF_dataforcomparisongraphss.py

vais-ral/CCPi-ML

ca9baeb0dd5db3a97ac8ab9e33e03aeae42ebfa4

[ "Apache-2.0" ]

null

Benchmarking/Keras/Tensorflow/TF_dataforcomparisongraphss.py

vais-ral/CCPi-ML

ca9baeb0dd5db3a97ac8ab9e33e03aeae42ebfa4

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Jul 18 14:04:03 2018 @author: zyv57124 """ import scipy.io as sio import tensorflow as tf from tensorflow import keras import numpy as np import matplotlib import matplotlib.pyplot as plt from tensorflow.python.training import gradient_descent from time import tim...

17.236111

144

0.580983

304

2,482

4.638158

0.440789

0.034043

0.024113

0.048227

0

0.036885

0.213537

2,482

144

145

17.236111

0.685451

0.193392

0

0.046851

0.0267

0

1

0.081633

false

0

0.163265

0.020408

0.285714

0

null

0

null

0

1

0

f485d7305ea8da6e0bb04315c8cf68b15f093141

496

py

Python

Exercise_8.py

aurimas13/Python-stuff

a6e89e9f6088a6ab29da5b57830e4b7750427454

[ "MIT" ]

1

2021-06-30T09:31:52.000Z

Exercise_8.py

aurimas13/Python-stuff

a6e89e9f6088a6ab29da5b57830e4b7750427454

[ "MIT" ]

null

Exercise_8.py

aurimas13/Python-stuff

a6e89e9f6088a6ab29da5b57830e4b7750427454

[ "MIT" ]

null

# Solution of Exercise 8 - Exercise_8.py # # Uploaded by Aurimas A. Nausedas on 11/23/20. # Updated by Aurimas A. Nausedas on 11/06/21. formatter = "%r %r %r %r" print formatter % (1, 2, 3, 4) print formatter % ("one", "two", "three", "four") print formatter % (True, False, False, True) print formatter % (formatter,...

27.555556

62

0.645161

75

496

4.253333

0.64

0.219436

0.253919

0.112853

0.137931

0

0.045918

0.209677

496

17

63

29.176471

0.767857

0.256048

0

0.304945

0

null

0

null

0.454545

0

null

1

0

null

0

1

0

1

0

4

f485da5cf70dcae9f004e6210259cc3b9e4d5254

402

py

Python

Easy/two-numbers-sum/solution-1.py

MCFrank16/python-algo

dd48f6c5b9f4a941a18fc4620164c807c0e1d35e

[ "MIT" ]

null

Easy/two-numbers-sum/solution-1.py

MCFrank16/python-algo

dd48f6c5b9f4a941a18fc4620164c807c0e1d35e

[ "MIT" ]

null

Easy/two-numbers-sum/solution-1.py

MCFrank16/python-algo

dd48f6c5b9f4a941a18fc4620164c807c0e1d35e

[ "MIT" ]

null

# solution 1: Brute Force # time complexity: O(n^2) # space complexity: O(1) def twoNumberSum(arr, n): for i in range(len(arr) - 1): firstNum = arr[i] for j in range(i + 1, len(arr)): secondNum = arr[j] if firstNum + secondNum == n: return [first...

23.647059

45

0.524876

57

402

3.701754

0.54386

0.104265

0

0.059259

0.328358

402

16

46

25.125

0.722222

0.174129

0

1

0.111111

false

0

0.333333

0.111111

0

null

0

null

0

1

0

f488b9695ea3d93d4ce613f2ebb45a1be83ca949

1,631

py

Python

python/cac_tripplanner/destinations/migrations/0021_event.py

maurizi/cac-tripplanner

3f4f1f1edc9be9e52c74eb3e124b6697429a79d6

[ "Apache-2.0" ]

null

python/cac_tripplanner/destinations/migrations/0021_event.py

maurizi/cac-tripplanner

3f4f1f1edc9be9e52c74eb3e124b6697429a79d6

[ "Apache-2.0" ]

null

python/cac_tripplanner/destinations/migrations/0021_event.py

maurizi/cac-tripplanner

3f4f1f1edc9be9e52c74eb3e124b6697429a79d6

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2017-11-28 17:32 from __future__ import unicode_literals import ckeditor.fields import destinations.models from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('destinati...

42.921053

171

0.624157

171

1,631

5.807018

0.538012

0.032226

0.028197

0.04431

0.21148

0.16717

0.100705

0

0.041229

0.24157

1,631

37

172

44.081081

0.76152

0.041692

0

1

0

0.175641

0.030128

0

1

0

false

0

0.166667

0

0.266667

0

null

0

1

0

null

0

1

f488b98251360b04f0d4a4065b27efc58a8ffeb9

8,448

py

Python

data_extraction/scripts/bnf_adr_extraction.py

elpidakon/CRESCENDDI

ab9e65621d331689f4aaeeb08902f29d90b7d1b9

[ "MIT" ]

null

data_extraction/scripts/bnf_adr_extraction.py

elpidakon/CRESCENDDI

ab9e65621d331689f4aaeeb08902f29d90b7d1b9

[ "MIT" ]

null

data_extraction/scripts/bnf_adr_extraction.py

elpidakon/CRESCENDDI

ab9e65621d331689f4aaeeb08902f29d90b7d1b9

[ "MIT" ]

null

# Kontsioti, Maskell, Dutta & Pirmohamed, A reference set of clinically relevant # adverse drug-drug interactions (2021) # Code to extract single-drug side effect data from the BNF website from bs4 import BeautifulSoup import urllib import os, csv import numpy as np import pandas as pd import re from tqdm i...

43.546392

147

0.68608

1,249

8,448

4.456365

0.196157

0.059828

0.034495

0.017607

0.416098

0.318721

0.268954

0.23392

0.208049

0.193676

0

0.009978

0.1933

8,448

193

148

43.772021

0.80675

0.289536

0

0.176991

0

0.172396

0.007292

0

1

0

false

0

0.061947

0

0.061947

0

null

0

null

0

1

0

f489d029eb3e215d049f6f2f3cc368f56d30226f

1,080

py

Python

core/forms.py

nicoknoll/howimetcorona

c55198118b2c31ee8b76c023b5a9fc4454cc1e08

[ "Apache-2.0" ]

1

2020-03-21T09:47:17.000Z

core/forms.py

nicoknoll/howimetcorona

c55198118b2c31ee8b76c023b5a9fc4454cc1e08

[ "Apache-2.0" ]

5

2020-03-20T20:12:16.000Z

2021-09-22T18:46:48.000Z

core/forms.py

nicoknoll/howimetcorona

c55198118b2c31ee8b76c023b5a9fc4454cc1e08

[ "Apache-2.0" ]

null

from django import forms class BaseFileForm(forms.Form): # we try to minify the file to only submit the data points_file = forms.FileField( required=False, widget=forms.FileInput(attrs={'required': 'required'}), label="Location History File (.json)" ) points_data = forms.CharFi...

28.421053

77

0.662963

136

1,080

5.154412

0.470588

0.071327

0.064194

0.051355

0.068474

0

0.012806

0.20463

1,080

37

78

29.189189

0.80326

0.04537

0

0.04

0.174927

0.029155

0

1

0.04

false

0.04

0

0.48

0

null

0

null

0

1

0

f48be2ac89c37ef219c2ad00751eceeb8e3e514f

270

py

Python

bartender/drinks/generators.py

autiwg/bartender

1c26aefb777a01ce527745c543e60b11a972fe5d

[ "Unlicense", "MIT" ]

null

bartender/drinks/generators.py

autiwg/bartender

1c26aefb777a01ce527745c543e60b11a972fe5d

[ "Unlicense", "MIT" ]

null

bartender/drinks/generators.py

autiwg/bartender

1c26aefb777a01ce527745c543e60b11a972fe5d

[ "Unlicense", "MIT" ]

null

from django.utils import timezone from django.utils.text import slugify def generate_billed_document_path(instance, filename): cur_time = timezone.now() return f"{cur_time.strftime('%Y/%m')}/{slugify(instance.name)}-{cur_time.strftime('%d.%m.%Y %H:%M')}.csv"

30

109

0.725926

41

270

4.634146

0.634146

0.110526

0.157895

0

0.103704

270

8

110

33.75

0.785124

0

1

0.2

0.351852

0.303704

0

1

0.2

false

0

0.4

0

0.8

0

null

0

1

0

1

0

null

0

1

0

1

0

4

f48bfbdf82f8ea69c9578103bcb880d230cfe368

718

py

Python

papers/wdmerger_I/plots/sponge.py

AMReX-Astro/wdmerger

9f575efacc8d373b6d2961f731e30bf59ee15ffd

[ "MIT" ]

2

2019-01-23T21:12:02.000Z

2021-12-14T07:34:38.000Z

papers/wdmerger_I/plots/sponge.py

AMReX-Astro/wdmerger

9f575efacc8d373b6d2961f731e30bf59ee15ffd

[ "MIT" ]

1

2017-08-05T06:25:41.000Z

papers/wdmerger_I/plots/sponge.py

AMReX-Astro/wdmerger

9f575efacc8d373b6d2961f731e30bf59ee15ffd

[ "MIT" ]

2

2018-12-25T01:05:59.000Z

2020-12-28T10:01:59.000Z

# This Python program is used to create a plot displaying the sponge # function we use in the CASTRO hydrodynamics for the wdmerger problem. import numpy as np import matplotlib.pyplot as plt def sponge(r): sp rs = 0.75 rt = 0.85 r = np.linspace(0.0, 1.0, 1000) f = np.zeros(len(r)) idx = np.where(r < rs) f[id...

18.894737

71

0.635097

145

718

3.124138

0.455172

0.022075

0.0883

0.09713

0.057395

0

0.072635

0.175487

718

37

72

19.405405

0.692568

0.190808

0

0.043253

0

1

0.043478

false

0

0.086957

0

0.130435

0

null

0

null

0

1

0

f48c4c17d15169f83e1e0f82eed8e69642feb9a8

753

py

Python

Python/110-1/Midterm Additional HW/005.py

JenFuChen/NKUST

bd80a449eddfdaf75709379d2e904ff70d409666

[ "MIT" ]

3

2021-11-07T17:33:54.000Z

2021-12-28T08:31:20.000Z

Python/110-1/Midterm Additional HW/005.py

JenFuChen/NKUST

bd80a449eddfdaf75709379d2e904ff70d409666

[ "MIT" ]

null

Python/110-1/Midterm Additional HW/005.py

JenFuChen/NKUST

bd80a449eddfdaf75709379d2e904ff70d409666

[ "MIT" ]

null

# 005 印出菱形 while(1): level = int(input()) if(level <= 0): break L = 2*level-1 mid = int((L - 1) / 2) inspa = mid * 2 - 1 for i in range(L): spa = level - i - 1 if spa >= 0: print(" " * spa, end='') print('*', end='') if spa < 0...

25.965517

44

0.332005

91

753

2.747253

0.252747

0.192

0.176

0.156

0.292

0.176

0

0.051813

0.487384

753

28

45

26.892857

0.595855

0.010624

0

0.307692

0

0.011189

0

1

0

false

0

0.346154

0

null

0

null

0

1

0

f48c7224abe2e2f0a451d9341ea395ac8a419de0

1,978

py

Python

dynamo/plot/pseudotime.py

davisidarta/dynamo-release

0dbd769f52ea07f3cdaa8fb31022ceb89938c382

[ "BSD-3-Clause" ]

null

dynamo/plot/pseudotime.py

davisidarta/dynamo-release

0dbd769f52ea07f3cdaa8fb31022ceb89938c382

[ "BSD-3-Clause" ]

null

dynamo/plot/pseudotime.py

davisidarta/dynamo-release

0dbd769f52ea07f3cdaa8fb31022ceb89938c382

[ "BSD-3-Clause" ]

null

import numpy as np from ..tools.utils import update_dict from .utils import save_fig def plot_direct_graph(adata, layout=None, figsize=[6, 4], save_show_or_return='show', save_kwargs={}, ): df_mat = adata...

28.257143

86

0.532356

230

1,978

4.4

0.504348

0.031621

0.039526

0.063241

0

0.010196

0.35541

1,978

69

87

28.666667

0.783529

0.128918

0

0.098657

0

1

0.018519

false

0

0.092593

0

0.12963

0

null

0

null

0

1

0

f48d18e383286d35c87dd89bd5701bc78cbbbad7

4,327

py

Python

ocean_lib/web3_internal/utils.py

joshualyguessennd/ocean.py

23274698df4aae078d53b12d768c721af16f6e80

[ "Apache-2.0" ]

null

ocean_lib/web3_internal/utils.py

joshualyguessennd/ocean.py

23274698df4aae078d53b12d768c721af16f6e80

[ "Apache-2.0" ]

1

2021-02-16T18:31:53.000Z

ocean_lib/web3_internal/utils.py

joshualyguessennd/ocean.py

23274698df4aae078d53b12d768c721af16f6e80

[ "Apache-2.0" ]

null

# Copyright 2018 Ocean Protocol Foundation # SPDX-License-Identifier: Apache-2.0 import json import logging import os from collections import namedtuple import eth_account import eth_keys import eth_utils from eth_keys import KeyAPI from eth_utils import big_endian_to_int from ocean_lib.web3_internal.web3_provider i...

29.040268

95

0.697712

592

4,327

4.890203

0.271959

0.031088

0.017271

0.02418

0.097064

0.064594

0.042832

0.026252

0

0.021178

0.203374

4,327

148

96

29.236486

0.818683

0.181419

0

0.126254

0.034808

0

0.036585

1

0.109756

false

0.036585

0.146341

0.012195

0.378049

0

null

0

null

0

1

0

f48e4de60f001ef56a4fbd661495b8d069dc740f

192

py

Python

autofront/__init__.py

JimmyLamothe/autofront

d179e54411f5d53046a5fa52b4430e09b01ebaca

[ "BSD-3-Clause" ]

1

2020-11-16T22:18:03.000Z

autofront/__init__.py

JimmyLamothe/autofront

d179e54411f5d53046a5fa52b4430e09b01ebaca

[ "BSD-3-Clause" ]

null

autofront/__init__.py

JimmyLamothe/autofront

d179e54411f5d53046a5fa52b4430e09b01ebaca

[ "BSD-3-Clause" ]

null

import autofront.autofront as autofront import autofront.utilities as utilities initialize = autofront.initialize add = autofront.add run = autofront.run get_display = utilities.get_display

21.333333

39

0.833333

24

192

6.583333

0.375

0.189873

0

0.114583

192

8

40

24

0.929412

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

f48e86cd3da483fb8b0fe253866faf1ceee934c8

8,444

py

Python

src/main.py

ketsonroberto/PBDO

cdc1c5275bc17753be5c06a216f92391b6f1f1ab

[ "MIT" ]

null

src/main.py

ketsonroberto/PBDO

cdc1c5275bc17753be5c06a216f92391b6f1f1ab

[ "MIT" ]

null

src/main.py

ketsonroberto/PBDO

cdc1c5275bc17753be5c06a216f92391b6f1f1ab

[ "MIT" ]

null

# THIS IS A FILE TO TEST THE CODE. DO NOT USE IT AS PART OF THE CODE. import matplotlib.pyplot as plt import numpy as np from StochasticMechanics import Stochastic from scipy.optimize import minimize from Performance import PerformanceOpt from Hazards import Stationary from Building import * from BuildingProperties im...

30.157143

114

0.620441

1,376

8,444

3.679506

0.227471

0.027652

0.012443

0.245309

0.196721

0.156627

0.121865

0.095398

0

0.052365

0.206182

8,444

279

115

30.265233

0.702969

0.363809

0

0.061224

0

0.005922

0

1

0

false

0

0.132653

0

0.132653

0.040816

0

null

0

null

0

1

0

f48e9c0665ea9a8d85811305b04f10d8aba4b991

777

py

Python

categorical_embedder/embedders/core/aux/custom_object_handler.py

erelcan/categorical-embedder

376b8779500af2aa459c879f8e525f2ef25d6b31

[ "Apache-2.0" ]

3

2020-12-19T10:52:58.000Z

2021-06-08T09:06:44.000Z

categorical_embedder/embedders/core/aux/custom_object_handler.py

erelcan/categorical-embedder

376b8779500af2aa459c879f8e525f2ef25d6b31

[ "Apache-2.0" ]

null

categorical_embedder/embedders/core/aux/custom_object_handler.py

erelcan/categorical-embedder

376b8779500af2aa459c879f8e525f2ef25d6b31

[ "Apache-2.0" ]

null

from categorical_embedder.embedders.core.aux.custom_layers import get_custom_layer_class from categorical_embedder.embedders.core.aux.loss_factory import get_loss_function def prepare_custom_objects(custom_object_info): custom_objects = {} custom_objects.update(_prepare_custom_layers(custom_object_info["layer...

35.318182

88

0.804376

107

777

5.336449

0.271028

0.126095

0.112084

0.248687

0.136602

0

0.119691

777

21

89

37

0.834795

0

0.05148

0

1

0.2

false

0

0.133333

0.066667

0.533333

0

null

0

null

0

1

0

f48f23b7a5506d60b9ac1a5607df61a337660101

10,406

py

Python

osprofiler/cmd/shell.py

charliebr30/osprofiler

cffca4e29e373e3f09f2ffdd458761183a851569

[ "Apache-2.0" ]

null

osprofiler/cmd/shell.py

charliebr30/osprofiler

cffca4e29e373e3f09f2ffdd458761183a851569

[ "Apache-2.0" ]

1

2017-04-15T22:16:06.000Z

osprofiler/cmd/shell.py

shwsun/osprofiler

46d29fc5ab8a4068217e399883f39cdd443a7500

[ "Apache-2.0" ]

null

# Copyright 2014 Mirantis Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...

42.129555

79

0.548818

1,126

10,406

4.867673

0.221137

0.035577

0.080642

0.065864

0.369823

0.24813

0.090312

0.031381

0.01642

0

0.003449

0.35912

10,406

246

80

42.300813

0.818414

0.104939

0

0.05814

0

0.279328

0.044813

0

0.004065

0

1

0.040698

false

0.034884

0.052326

0

0.122093

0.005814

0

null

0

null

0

1

0

f48f3252e9a2f94d57cf6c129396083ea3b2d577

3,695

py

Python

bmt/util.py

patrickkwang/bmt-lite

bf97f6155702a8eb38daf5a45df34b0ce1cb1a4b

[ "MIT" ]

null

bmt/util.py

patrickkwang/bmt-lite

bf97f6155702a8eb38daf5a45df34b0ce1cb1a4b

[ "MIT" ]

null

bmt/util.py

patrickkwang/bmt-lite

bf97f6155702a8eb38daf5a45df34b0ce1cb1a4b

[ "MIT" ]

null

"""Utilities.""" from functools import wraps import re from typing import Callable, List, Optional, TypeVar, Union from .data import ( all_classes, all_slots, ) def pascal_to_snake(s: str, sep: str = "_") -> str: """Convert Pascal case to snake case. Assumes that a) all words are either all-lowercas...

27.781955

83

0.558863

448

3,695

4.537946

0.310268

0.011805

0.005903

0.01033

0.092966

0.074766

0.026562

0

0.002324

0.301218

3,695

132

84

27.992424

0.78505

0.256834

0

0.1375

0

0.068399

0.030951

0

1

0.125

false

0

0.05

0

0.3875

0

null

0

null

0

1

0

f48f57744939caba5685c9a4b651a9c481a371aa

657

py

Python

src/py_to_json/__init__.py

jlevitt/py-to-json

26bb68926f5ada601e965f42980e438c9718be73

[ "MIT" ]

null

src/py_to_json/__init__.py

jlevitt/py-to-json

26bb68926f5ada601e965f42980e438c9718be73

[ "MIT" ]

null

src/py_to_json/__init__.py

jlevitt/py-to-json

26bb68926f5ada601e965f42980e438c9718be73

[ "MIT" ]

null

# # OMNIVORE CONFIDENTIAL # __________________ # # [2013] - [2019] Omnivore Technologies # All Rights Reserved. # # NOTICE: All information contained herein is, and remains # the property of Omnivore Technologies and its suppliers, # if any. The intellectual and technical concepts contained # herein are proprietary...

36.5

73

0.78691

85

657

5.870588

0.658824

0.160321

0.092184

0.104208

0.140281

0

0.014545

0.162861

657

17

74

38.647059

0.892727

0.946728

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

be2e1617c4a15afe6886703b261c4b500fdae5e3

7,960

py

Python

sktime/utils/time_series.py

brettkoonce/sktime

6336247bad0dac8692aa4b911c267f401dea4163

[ "BSD-3-Clause" ]

1

2020-09-11T06:26:08.000Z

sktime/utils/time_series.py

brettkoonce/sktime

6336247bad0dac8692aa4b911c267f401dea4163

[ "BSD-3-Clause" ]

2

2020-04-20T12:26:42.000Z

2020-04-22T17:09:14.000Z

sktime/utils/time_series.py

brettkoonce/sktime

6336247bad0dac8692aa4b911c267f401dea4163

[ "BSD-3-Clause" ]

1

2022-02-14T18:19:01.000Z

__author__ = ["Markus Löning"] __all__ = [ "compute_relative_to_n_timepoints", "time_series_slope", "fit_trend", "remove_trend", "add_trend" ] import numpy as np from sklearn.utils import check_array from sktime.utils.validation.forecasting import check_time_index def compute_relative_to_n_timep...

29.157509

79

0.593593

1,083

7,960

4.226223

0.184672

0.045226

0.02447

0.019664

0.471488

0.426917

0.396329

0.354381

0.347389

0.309591

0

0.009079

0.308166

7,960

272

80

29.264706

0.822045

0.415578

0

0.366071

0

0.195489

0.014333

0

1

0.044643

false

0.017857

0.026786

0

0.133929

0

null

0

null

0

1

0

be2e7ef040dc5a54cf6259bfaf5348f1c97d85ac

2,061

py

Python

prog_vae/prog_encoder/prog_encoder.py

Hanjun-Dai/sdvae

bd26ea949c496419634fd2cf4802fc8e19a9194c

[ "MIT" ]

70

2018-02-24T07:50:59.000Z

2021-12-27T02:42:37.000Z

prog_vae/prog_encoder/prog_encoder.py

Hanjun-Dai/sdvae

bd26ea949c496419634fd2cf4802fc8e19a9194c

[ "MIT" ]

7

2018-05-31T00:50:19.000Z

2021-09-28T11:58:22.000Z

prog_vae/prog_encoder/prog_encoder.py

Hanjun-Dai/sdvae

bd26ea949c496419634fd2cf4802fc8e19a9194c

[ "MIT" ]

19

2019-01-11T10:56:00.000Z

2022-03-23T23:09:39.000Z

#!/usr/bin/env python from __future__ import print_function import os import sys import csv import numpy as np import math import random from collections import defaultdict import torch from torch.autograd import Variable from torch.nn.parameter import Parameter import torch.nn as nn import torch.nn.functional as F i...

30.308824

91

0.6623

324

2,061

3.935185

0.305556

0.098824

0.028235

0.021961

0.216471

0.152157

0.103529

0

0.027586

0.226104

2,061

67

92

30.761194

0.771787

0.031053

0

0.022055

0

1

0.038462

false

0.019231

0.346154

0

0.423077

0.019231

0

null

0

null

0

1

0

1

be30c6f12931ff680481e45af1a532c7eab58cb2

1,089

py

Python

pyvmu/messages.py

JosephRedfern/VarienseVMU

e27c05a83124e024cd049b10f7d682f7f41a5c73

[ "MIT" ]

5

2017-10-23T13:13:09.000Z

2018-05-07T14:38:47.000Z

pyvmu/messages.py

JosephRedfern/VarienseVMU

e27c05a83124e024cd049b10f7d682f7f41a5c73

[ "MIT" ]

2

2018-04-18T08:15:52.000Z

2018-05-17T11:32:47.000Z

pyvmu/messages.py

JosephRedfern/VarienseVMU

e27c05a83124e024cd049b10f7d682f7f41a5c73

[ "MIT" ]

3

2017-09-06T18:05:21.000Z

2018-11-21T13:08:16.000Z

from collections import namedtuple Accelerometer = namedtuple('Accelerometer', ["timestamp", "x", "y", "z"]) Magnetometer = namedtuple('Magnetometer', ['timestamp', 'x', 'y', 'z']) Gyroscope = namedtuple('Gyroscope', ['timestamp', 'x', 'y', 'z']) Euler = namedtuple('Euler', ['timestamp', 'x', 'y', 'z']) Quaternion = ...

45.375

73

0.486685

73

1,089

7.082192

0.328767

0.019342

0.029014

0.092843

0

0.371901

1,089

23

74

47.347826

0.755848

0

0.337006

0.101928

0

1

0

false

0

0.052632

0

0.052632

0

null

0

null

0

1

0

be313f1e475a00f009ff53d9286703681a5859de

2,847

py

Python

scripts/Caesar-Cipher/CaesarCipher.py

Pythobit/python-projects

1a6ee3f0f417846626dfa021af49c999771a0199

[ "MIT" ]

2

2021-10-19T06:17:33.000Z

2021-10-19T06:17:37.000Z

scripts/Caesar-Cipher/CaesarCipher.py

Pythobit/Python-Projects

1a6ee3f0f417846626dfa021af49c999771a0199

[ "MIT" ]

4

2021-10-19T06:04:36.000Z

2021-10-19T11:42:57.000Z

scripts/Caesar-Cipher/CaesarCipher.py

Pythobit/Python-Projects

1a6ee3f0f417846626dfa021af49c999771a0199

[ "MIT" ]

1

2021-10-19T06:55:26.000Z

from __future__ import print_function import os import string import argparse try: maketrans = string.maketrans # python2 except AttributeError: maketrans = str.maketrans # python3 def caeser_cipher(string_: str, offset: int, decode: bool, file_: string) -> None: """Caeser Cipher implementation, reads ...

30.945652

88

0.663505

341

2,847

5.346041

0.375367

0.036204

0.032913

0.027427

0.039495

0

0.005034

0.232525

2,847

91

89

31.285714

0.829291

0.184053

0

0.032258

0

0.121854

0

1

0.032258

false

0

0.064516

0

0.112903

0.048387

0

null

0

null

0

1

0

be31bc2fba335d1b861c92be573990bfd80133fd

8,217

py

Python

onadata/libs/permissions.py

BuildAMovement/whistler-kobocat

7f61dd0761bb0aa5b27c909bcff8c29453d3311d

[ "BSD-2-Clause" ]

38

2017-02-28T05:39:40.000Z

2019-01-16T04:39:04.000Z

onadata/libs/permissions.py

BuildAMovement/whistler-kobocat

7f61dd0761bb0aa5b27c909bcff8c29453d3311d

[ "BSD-2-Clause" ]

20

2017-04-27T09:14:27.000Z

2019-01-17T06:35:52.000Z

onadata/libs/permissions.py

BuildAMovement/whistler-kobocat

7f61dd0761bb0aa5b27c909bcff8c29453d3311d

[ "BSD-2-Clause" ]

5

2017-02-22T12:25:19.000Z

2019-01-15T11:16:40.000Z

from collections import defaultdict from django.contrib.contenttypes.models import ContentType from guardian.shortcuts import ( assign_perm, remove_perm, get_perms, get_users_with_perms) from onadata.apps.api.models import OrganizationProfile from onadata.apps.main.models.user_profile import UserProfi...

31.848837

77

0.69271

933

8,217

5.745981

0.150054

0.052229

0.028726

0.06883

0.415035

0.342846

0.271218

0.225145

0.216937

0.194926

0

0.000156

0.222344

8,217

257

78

31.972763

0.838811

0.086285

0

0.350785

0

0.06298

0.019016

0

1

0.041885

false

0

0.036649

0

0.230366

0

null

0

null

0

1

0

be330b0c9754c05467f2b02c3762c1390226f3d3

10,078

py

Python

lanelines.py

gauborg/lane-finding-gborgaonkar

466313a0da7c245e25f0987afa953300501d5322

[ "MIT" ]

null

lanelines.py

gauborg/lane-finding-gborgaonkar

466313a0da7c245e25f0987afa953300501d5322

[ "MIT" ]

null

lanelines.py

gauborg/lane-finding-gborgaonkar

466313a0da7c245e25f0987afa953300501d5322

[ "MIT" ]

null

# Self-Driving Car Engineer Nanodegree # # ## Project: **Finding Lane Lines on the Road** # ## Import Packages #importing some useful packages import matplotlib.pyplot as plt import matplotlib.image as mpimg import numpy as np import cv2 import math import moviepy image = mpimg.imread('test_images/solidWhiteRight...

36.514493

137

0.682675

1,498

10,078

4.489319

0.269025

0.010409

0.006543

0.008327

0.099033

0.071078

0.018141

0.013086

0

0.023149

0.224152

10,078

275

138

36.647273

0.836936

0.503671

0

0.04

0

0.070414

0.047932

0

0.003636

0

1

0.09

false

0.01

0.1

0

0.27

0.01

0

null

0

null

0

1

0

be3353aec22fa60209490a5516f7d6ee7289c13d

1,873

py

Python

zict/zip.py

phobson/zict

666c7cd9fd4667cc8831a35cf958fd51788acd3e

[ "BSD-3-Clause" ]

null

zict/zip.py

phobson/zict

666c7cd9fd4667cc8831a35cf958fd51788acd3e

[ "BSD-3-Clause" ]

null

zict/zip.py

phobson/zict

666c7cd9fd4667cc8831a35cf958fd51788acd3e

[ "BSD-3-Clause" ]

null

try: from collections.abc import MutableMapping except ImportError: from collections import MutableMapping import zipfile class Zip(MutableMapping): """Mutable Mapping interface to a Zip file Keys must be strings, values must be bytes Parameters ---------- filename: string mode: stri...

24.324675

88

0.595302

234

1,873

4.606838

0.34188

0.103896

0.033395

0.052876

0.06679

0

0.004415

0.274426

1,873

76

89

24.644737

0.788815

0.200214

0

0.038221

0

1

0.325581

false

0

0.093023

0.162791

0.627907

0

null

0

null

0

1

0

1

0

3

be357d6f3c1ddf5962bf29bb44f0430102e3f1c8

7,741

py

Python

neutron_lbaas/drivers/driver_mixins.py

containers-kraken/neutron-lbaas

43fbc34cc90512e33202bc4187ccf712dda6a782

[ "Apache-2.0" ]

null

neutron_lbaas/drivers/driver_mixins.py

containers-kraken/neutron-lbaas

43fbc34cc90512e33202bc4187ccf712dda6a782

[ "Apache-2.0" ]

null

neutron_lbaas/drivers/driver_mixins.py

containers-kraken/neutron-lbaas

43fbc34cc90512e33202bc4187ccf712dda6a782

[ "Apache-2.0" ]

null

# Copyright 2014 A10 Networks # # 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 agree...

42.070652

79

0.628472

949

7,741

4.955743

0.239199

0.025516

0.03636

0.026791

0.456304

0.366575

0.277908

0.251967

0.243036

0

0.004631

0.302674

7,741

183

80

42.300546

0.866617

0.301511

0

0.361111

0

0.099424

0.004031

0

1

0.092593

false

0.055556

0.064815

0

0.212963

0

null

0

null

0

1

0

1

be365df64e401dd1c966469e8ae1e80392fa4b62

1,207

py

Python

Lib/hTools2/modules/ftp.py

miguelsousa/hTools2

eab400677c1b21bb2519a7354a142e167c2b39ba

[ "BSD-3-Clause" ]

null

Lib/hTools2/modules/ftp.py

miguelsousa/hTools2

eab400677c1b21bb2519a7354a142e167c2b39ba

[ "BSD-3-Clause" ]

null

Lib/hTools2/modules/ftp.py

miguelsousa/hTools2

eab400677c1b21bb2519a7354a142e167c2b39ba

[ "BSD-3-Clause" ]

null

# [h] hTools2.modules.ftp """Tools to connect to a FTP server, upload files etc.""" # This module uses the `ftplib` library to handle FTP connection and upload. # http://docs.python.org/library/ftplib.html import os from ftplib import FTP def connect_to_server(url, login, password, folder, verbose=False): """Co...

30.175

161

0.6686

168

1,207

4.77381

0.458333

0.064838

0.014963

0.029925

0.054863

0

0.002101

0.211268

1,207

39

162

30.948718

0.840336

0.147473

0

0.125

0

0.025048

0

null

0.125

null

0.125

0

null

0

null

0

1

0

1

0

2

be368e6b255149306c28292dd49ca28ab1a75535

553

py

Python

network/pytorch2onnx.py

MRsoymilk/toy-car

5bd51bf231781a17e1d7acb4654c3d4b6adbed41

[ "MIT" ]

null

network/pytorch2onnx.py

MRsoymilk/toy-car

5bd51bf231781a17e1d7acb4654c3d4b6adbed41

[ "MIT" ]

null

network/pytorch2onnx.py

MRsoymilk/toy-car

5bd51bf231781a17e1d7acb4654c3d4b6adbed41

[ "MIT" ]

null

import Net import configparser import torch from PIL import Image config = configparser.ConfigParser() config.read('./config.ini') MODEL = config.get("Network", "Model") transformations = Net.transformations net = Net.Net() net.eval() net.load_state_dict(torch.load(MODEL)) image = Image.open("./html/rwby.jpg") imag...

19.068966

49

0.703436

72

553

5.347222

0.541667

0.046753

0

0.002079

0.130199

553

28

50

19.75

0.798337

0

0.106691

0

1

0

false

0

0.181818

0

0.181818

0.045455

0

null

0

null

0

1

0

be385b749f1c26b913c643d471ca79a2fd89e72b

724

py

Python

var/spack/repos/builtin/packages/r-gridextra/package.py

player1537-forks/spack

822b7632222ec5a91dc7b7cda5fc0e08715bd47c

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

11

2015-10-04T02:17:46.000Z

2018-02-07T18:23:00.000Z

var/spack/repos/builtin/packages/r-gridextra/package.py

player1537-forks/spack

822b7632222ec5a91dc7b7cda5fc0e08715bd47c

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

22

2017-08-01T22:45:10.000Z

2022-03-10T07:46:31.000Z

var/spack/repos/builtin/packages/r-gridextra/package.py

player1537-forks/spack

822b7632222ec5a91dc7b7cda5fc0e08715bd47c

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

4

2016-06-10T17:57:39.000Z

2018-09-11T04:59:38.000Z

# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class RGridextra(RPackage): """Miscellaneous Functions for "Grid" Graphics. Provides a numb...

34.47619

95

0.754144

85

724

6.411765

0.8

0.044037

0

0.169903

0.146409

724

20

96

36.2

0.711974

0.524862

0

0.495413

0.391437

0

1

0

false

0

0.166667

0

0.5

0

null

0

null

0

1

0

be387cca53cfcab985ce1dca7b42033320d21418

2,707

py

Python

tuframework/training/network_training/competitions_with_custom_Trainers/MMS/nnUNetTrainerV2_MMS.py

Magnety/tuFramework

b31cb34d476ef306b52da955021f93c91c14ddf4

[ "Apache-2.0" ]

null

tuframework/training/network_training/competitions_with_custom_Trainers/MMS/nnUNetTrainerV2_MMS.py

Magnety/tuFramework

b31cb34d476ef306b52da955021f93c91c14ddf4

[ "Apache-2.0" ]

null

tuframework/training/network_training/competitions_with_custom_Trainers/MMS/nnUNetTrainerV2_MMS.py

Magnety/tuFramework

b31cb34d476ef306b52da955021f93c91c14ddf4

[ "Apache-2.0" ]

null

import torch from tuframework.network_architecture.generic_UNet import Generic_UNet from tuframework.network_architecture.initialization import InitWeights_He from tuframework.training.network_training.tuframework_variants.data_augmentation.tuframeworkTrainerV2_insaneDA import \ tuframeworkTrainerV2_insaneDA from t...

44.377049

120

0.663465

345

2,707

4.828986

0.33913

0.062425

0.085834

0.132653

0.235294

0.186074

0.084034

0

0.021047

0.24529

2,707

60

121

45.116667

0.79442

0

0.121451

0.078864

0

1

0.044444

false

0

0.133333

0

0.2

0

null

0

null

0

1

0

be3baf27f812f65c9b958afcfa252dbaf8d5e093

3,088

py

Python

ansible/playbooks/roles/repository/files/download-requirements/src/command/yum.py

romsok24/epiphany

f058984939561fc8d51288765976118ae12e6c32

[ "Apache-2.0" ]

null

ansible/playbooks/roles/repository/files/download-requirements/src/command/yum.py

romsok24/epiphany

f058984939561fc8d51288765976118ae12e6c32

[ "Apache-2.0" ]

null

ansible/playbooks/roles/repository/files/download-requirements/src/command/yum.py

romsok24/epiphany

f058984939561fc8d51288765976118ae12e6c32

[ "Apache-2.0" ]

null

from typing import List from src.command.command import Command class Yum(Command): """ Interface for `yum` """ def __init__(self, retries: int): super().__init__('yum', retries) def update(self, enablerepo: str, package: str = None, disablerepo...

27.81982

66

0.51943

346

3,088

4.508671

0.254335

0.063462

0.038462

0.04359

0.291667

0.260897

0.228846

0.198077

0.175641

0

0.001019

0.364313

3,088

110

67

28.072727

0.793683

0.152526

0

0.196721

0

0.077391

0.02107

0

1

0.163934

false

0

0.032787

0

0.311475

0

null

0

null

0

1

0

be3e44160e188056687e999ee1b846a80b373896

1,819

py

Python

build/generate_confirmed_cases_by_counties.py

jtagcat/koroonakaart

16a6eb24a19b286589b063742b03a123315feefc

[ "CC0-1.0", "MIT" ]

1

2021-12-20T23:05:58.000Z

build/generate_confirmed_cases_by_counties.py

jtagcat/koroonakaart

16a6eb24a19b286589b063742b03a123315feefc

[ "CC0-1.0", "MIT" ]

null

build/generate_confirmed_cases_by_counties.py

jtagcat/koroonakaart

16a6eb24a19b286589b063742b03a123315feefc

[ "CC0-1.0", "MIT" ]

1

2021-12-20T23:05:47.000Z

from build.chart_data_functions import get_confirmed_cases_by_county from build.chart_data_functions import get_county_by_day from build.constants import CONFIRMED_CASES_BY_COUNTIES_PATH from build.constants import COUNTY_MAPPING from build.constants import COUNTY_POPULATION from build.constants import DATE_SETTINGS fr...

30.316667

87

0.774601

248

1,819

5.33871

0.302419

0.095166

0.126888

0.239426

0.054381

0

0.001318

0.166025

1,819

59

88

30.830508

0.871457

0.077515

0

0.128743

0.016766

0

1

0.02439

false

0

0.365854

0

0.390244

0

null

0

null

0

1

0

1