xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

880e2798a7eff5ab054ccfdc53c1e3f8d1b470de

6,269

py

Python

loldib/getratings/models/NA/na_ornn/na_ornn_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_ornn/na_ornn_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_ornn/na_ornn_bot.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Ornn_Bot_Aatrox(Ratings): pass class NA_Ornn_Bot_Ahri(Ratings): pass class NA_Ornn_Bot_Akali(Ratings): pass class NA_Ornn_Bot_Alistar(Ratings): pass class NA_Ornn_Bot_Amumu(Ratings): pass class NA_Ornn_Bot_Anivia(Ratings): pass clas...

15.033573

46

0.75642

972

6,269

4.452675

0.151235

0.223198

0.350739

0.446396

0.791359

0

0.177221

6,269

416

47

15.069712

0.839085

0

0.498195

0

1

0

true

0.498195

0.00361

0

0.501805

0

null

1

0

1

0

null

0

1

0

1

0

7

7153be468c112963806ea2a7623717b1c3a88b7b

7,058

py

Python

tests/data/simple_cases/docstring.py

sdrees/black

04f99bc3341132261b901e9293bcb66bee30de25

[ "MIT" ]

null

tests/data/simple_cases/docstring.py

sdrees/black

04f99bc3341132261b901e9293bcb66bee30de25

[ "MIT" ]

11

2022-02-07T14:19:42.000Z

2022-03-29T06:07:31.000Z

tests/data/simple_cases/docstring.py

hampuskraft/black

f2d279faed9e545b8d6fbb620fa239dee5e67520

[ "MIT" ]

null

class MyClass: """ Multiline class docstring """ def method(self): """Multiline method docstring """ pass def foo(): """This is a docstring with some lines of text here """ return def bar(): '''This is another docstring with more lines of text ''' return def b...

16.804762

105

0.527345

789

7,058

4.544994

0.195184

0.027329

0.020078

0.040156

0.998327

0

0.005353

0.258855

7,058

419

106

16.844869

0.680176

0.595494

0

0.929293

0

0.037706

0

1

0.666667

false

0.141414

0

0.767677

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

10

718ba7854a37e78465e702d0af8cd92f5a090edb

89

py

Python

oscar/apps/partner/exceptions.py

owad/django-oscar

cfa69e37dc9abc97a7aff5c8616da319e1771008

[ "BSD-3-Clause" ]

1

2022-03-17T19:26:13.000Z

oscar/apps/partner/exceptions.py

aykut/django-oscar

ca3629e74ea1e0affc55d3de4e97f523e352d267

[ "BSD-3-Clause" ]

null

oscar/apps/partner/exceptions.py

aykut/django-oscar

ca3629e74ea1e0affc55d3de4e97f523e352d267

[ "BSD-3-Clause" ]

1

2019-03-23T10:26:02.000Z

class ImportError(Exception): pass class CatalogueImportError(Exception): pass

12.714286

38

0.752809

8

89

8.375

0.625

0.38806

0

0.179775

89

6

39

14.833333

0.917808

0

0.5

0

1

0

true

0.5

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

719a6535aaae183bae4ff0e145204730a86ef88b

1,181

py

Python

pyaz/acr/credential/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/acr/credential/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/acr/credential/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage login credentials for Azure Container Registries. ''' from ... pyaz_utils import _call_az def show(name, resource_group=None): ''' Get the login credentials for an Azure Container Registry. Required Parameters: - name -- The name of the container registry. You can configure the default regi...

36.90625

145

0.723116

154

1,181

5.461039

0.266234

0.092747

0.071344

0.085612

0.737218

0

0.19221

1,181

31

146

38.096774

0.881551

0.722269

0

0.177866

0

1

0.4

false

0.2

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

8

71b0c6245f80b26e08191bf3047be05583d51b6c

85

py

Python

The container /Robotic Arm/craves.ai-master/unreal/virtual_db/__init__.py

ReEn-Neom/ReEn.Neom-source-code-

11ec834d5eac5a5a63c71f6b41107769dafc591c

[ "MIT" ]

null

The container /Robotic Arm/craves.ai-master/unreal/virtual_db/__init__.py

ReEn-Neom/ReEn.Neom-source-code-

11ec834d5eac5a5a63c71f6b41107769dafc591c

[ "MIT" ]

null

The container /Robotic Arm/craves.ai-master/unreal/virtual_db/__init__.py

ReEn-Neom/ReEn.Neom-source-code-

11ec834d5eac5a5a63c71f6b41107769dafc591c

[ "MIT" ]

null

from . import d3, meta, video from .vdb import * # __all__ = ["d3", "meta", "video"]

21.25

35

0.611765

12

85

4

0.583333

0.25

0.458333

0

0.028986

0.188235

85

3

36

28.333333

0.666667

0.388235

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

71d025d27456dd237eaac2115235d4ae9a0b0221

150,579

py

Python

pysat/solvers.py

Illner/pysat

a9cd9d9f68d45cd48f0aaa7eff3d105abd27972d

[ "MIT" ]

null

pysat/solvers.py

Illner/pysat

a9cd9d9f68d45cd48f0aaa7eff3d105abd27972d

[ "MIT" ]

null

pysat/solvers.py

Illner/pysat

a9cd9d9f68d45cd48f0aaa7eff3d105abd27972d

[ "MIT" ]

null

#!/usr/bin/env python #-*- coding:utf-8 -*- ## ## solvers.py ## ## Created on: Nov 27, 2016 ## Author: Alexey S. Ignatiev ## E-mail: aignatiev@ciencias.ulisboa.pt ## """ =============== List of classes =============== .. autosummary:: :nosignatures: SolverNames Solv...

29.57749

131

0.542313

16,164

150,579

4.943145

0.048503

0.027259

0.014418

0.012265

0.808563

0.787174

0.772769

0.757738

0.746636

0.727388

0

0.008733

0.358158

150,579

5,090

132

29.583301

0.817989

0.31248

0

0.811505

0

0.036815

0

0.000046

0

0.002568

1

0.195686

false

0.000514

0.004109

0

0.335388

0

null

0

1

0

1

0

null

0

7

71e6e56cc79eea9bdd51f8b928e1c67a401783c4

32,355

py

Python

RFEM/Loads/lineLoad.py

DavidNaizheZhou/RFEM_Python_Client

a5f7790b67de3423907ce10c0aa513c0a1aca47b

[ "MIT" ]

null

RFEM/Loads/lineLoad.py

DavidNaizheZhou/RFEM_Python_Client

a5f7790b67de3423907ce10c0aa513c0a1aca47b

[ "MIT" ]

null

RFEM/Loads/lineLoad.py

DavidNaizheZhou/RFEM_Python_Client

a5f7790b67de3423907ce10c0aa513c0a1aca47b

[ "MIT" ]

null

from RFEM.initModel import Model, ConvertToDlString, clearAtributes from RFEM.enums import * class LineLoad(): def __init__(self, no: int = 1, load_case_no: int = 1, lines_no: str = '1', load_direction = LoadDirectionType.LOAD_DIRECTION_...

50.633803

199

0.627291

3,559

32,355

5.439449

0.04299

0.170567

0.052069

0.034919

0.952684

0.948293

0.933106

0.922878

0.919159

0

0.014829

0.303848

32,355

638

200

50.713166

0.844655

0.192706

0

0.925641

0

0.051282

0.175231

0.037425

0

1

0.010256

false

0

0.005128

0

0.017949

0.010256

0

null

0

1

0

1

0

null

0

7

e093f575a4de562ec3217f30be9b918d1e4cd203

274

py

Python

app/config/secure.py

victor-dp/robosat_geoc

d551287f29cd931d5e537b0bd538664b2c07bfb9

[ "MIT" ]

1

2020-11-28T07:12:56.000Z

app/config/secure.py

victor-dp/robosat_geoc

d551287f29cd931d5e537b0bd538664b2c07bfb9

[ "MIT" ]

null

app/config/secure.py

victor-dp/robosat_geoc

d551287f29cd931d5e537b0bd538664b2c07bfb9

[ "MIT" ]

2

2020-11-28T07:14:12.000Z

2020-11-29T01:31:23.000Z

SQLALCHEMY_DATABASE_URI = \ 'postgres+psycopg2://postgres:postgres@172.16.100.140/tdt2018' # 'postgres+psycopg2://postgres:postgres@localhost/tdt2018' SECRET_KEY = '\x88D\xf09\x91\x07\x98\x89\x87\x96\xa0A\xc68\xf9\xecJ:U\x17\xc5V\xbe\x8b\xef\xd7\xd8\xd3\xe6\x98*4'

45.666667

113

0.748175

44

274

4.590909

0.818182

0.158416

0.237624

0.316832

0

0.203125

0.065693

274

5

114

54.8

0.585938

0.208029

0

0.333333

0.734884

0

1

0

false

0

null

0

1

0

1

0

1

0

1

null

0

7

e09894fd4125f09b2156198cf5c5c3636f7b785f

246

py

Python

entity/cards/SWL_01H/__init__.py

x014/lushi_script

edab2b88e3f0de8139de2541ab2daa331f777c0e

[ "MIT" ]

102

2021-10-20T09:06:39.000Z

2022-03-28T13:35:11.000Z

entity/cards/SWL_01H/__init__.py

x014/lushi_script

edab2b88e3f0de8139de2541ab2daa331f777c0e

[ "MIT" ]

98

2021-10-19T16:13:27.000Z

2022-03-27T13:27:49.000Z

entity/cards/SWL_01H/__init__.py

x014/lushi_script

edab2b88e3f0de8139de2541ab2daa331f777c0e

[ "MIT" ]

55

2021-10-19T03:56:50.000Z

2022-03-25T08:25:26.000Z

# -*- coding: utf-8 -*- import entity.cards.SWL_01H.LETL_450 import entity.cards.SWL_01H.LETL_451 import entity.cards.SWL_01H.LETL_452 import entity.cards.SWL_01H.LETL_453 import entity.cards.SWL_01H.LETL_454 import entity.cards.SWL_01H.LETL_455

30.75

36

0.821138

45

246

4.222222

0.333333

0.378947

0.536842

0.631579

0.852632

0

0.135371

0.069106

246

7

37

35.142857

0.694323

0.085366

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

8

e0e4886815cdc8137f56c8e9f5188a7709e8808b

10,738

py

Python

config.py

txd283/vacancy-diffusion-kmclib

977c728c97aedd2eb21dc5222c372c0af68c7a7b

[ "MIT" ]

1

2021-09-04T14:35:15.000Z

config.py

txd283/vacancy-diffusion-kmclib

977c728c97aedd2eb21dc5222c372c0af68c7a7b

[ "MIT" ]

1

2022-03-13T07:48:24.000Z

config.py

txd283/vacancy-diffusion-kmclib

977c728c97aedd2eb21dc5222c372c0af68c7a7b

[ "MIT" ]

1

2020-05-20T01:17:51.000Z

from KMCLib import * #-------------------------------------------------------------- # Number of vacancies (0) = 1 # Number of Copper (0.1) = 0 # Number of Iron (1) = 1999 #-------------------------------------------------------------- # ----------------------------------------------------------------------------- ...

54.232323

79

0.234215

2,114

10,738

1.184011

0.01561

1.596484

2.393528

3.189772

0.85857

0.846584

0.834598

0

0.239578

0.162321

10,738

197

80

54.507614

0.038688

0.043863

0

0.883721

0

0.195514

0

1

0

false

0

0.005814

0

0.005814

0

1

null

1

0

1

0

1

0

1

0

null

0

13

e0f61eb8ab2dd3a84e7fa76ffb977d48eac02ef9

95

py

Python

example/main.py

jtara1/VisualScripting

66a424baad1d60c2e73fcb342c2797dd6c00e8b8

[ "Apache-2.0" ]

null

example/main.py

jtara1/VisualScripting

66a424baad1d60c2e73fcb342c2797dd6c00e8b8

[ "Apache-2.0" ]

null

example/main.py

jtara1/VisualScripting

66a424baad1d60c2e73fcb342c2797dd6c00e8b8

[ "Apache-2.0" ]

null

from ManualImageClassification.classifier_canvas import ClassifierCanvas def main(): pass

19

72

0.831579

9

95

8.666667

1

0

0.126316

95

5

73

19

0.939759

0

1

0.333333

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

7

e0f8e3b685c666267e06b1d825c8f116ba8d739b

2,446

py

Python

sqlhild/example.py

willemt/sqlhild

13815095cc38b0b72479891640a8b385d8db46d5

[ "BSD-3-Clause" ]

null

sqlhild/example.py

willemt/sqlhild

13815095cc38b0b72479891640a8b385d8db46d5

[ "BSD-3-Clause" ]

null

sqlhild/example.py

willemt/sqlhild

13815095cc38b0b72479891640a8b385d8db46d5

[ "BSD-3-Clause" ]

null

import numpy from . import table class Process(table.Table): def produce(self): import psutil return [p.as_dict(attrs=['pid', 'name', 'username', 'status']) for p in psutil.process_iter()] class Users(table.Table): def produce(self): import psutil return [o._...

20.04918

80

0.519215

285

2,446

4.4

0.221053

0.111643

0.795056

0.73764

0.703349

0

0.018215

0.326656

2,446

121

81

20.214876

0.743169

0

0.709302

0

0.03843

0

1

0.197674

false

0

0.05814

0.162791

0.674419

0

null

0

1

0

1

0

null

0

1

0

7

1caa2cd72f4a327bc7a9606ee76b5cd34db1e1d1

440

py

Python

rastervision2/core/pipeline/__init__.py

csaybar/raster-vision

617ca15f64e3b8a391432306a743f7d0dfff352f

[ "Apache-2.0" ]

1

2020-10-10T12:32:43.000Z

rastervision2/core/pipeline/__init__.py

csaybar/raster-vision

617ca15f64e3b8a391432306a743f7d0dfff352f

[ "Apache-2.0" ]

null

rastervision2/core/pipeline/__init__.py

csaybar/raster-vision

617ca15f64e3b8a391432306a743f7d0dfff352f

[ "Apache-2.0" ]

1

2021-12-02T08:07:21.000Z

# flake8: noqa TRAIN = 'train' VALIDATION = 'validation' from rastervision2.core.pipeline.rv_pipeline import * from rastervision2.core.pipeline.rv_pipeline_config import * from rastervision2.core.pipeline.chip_classification import * from rastervision2.core.pipeline.chip_classification_config import * from rastervisi...

36.666667

70

0.847727

51

440

7.137255

0.294118

0.28022

0.346154

0.478022

0.857143

0.840659

0.593407

0

0.017284

0.079545

440

11

71

40

0.881481

0.027273

0

0.035211

0

1

0

false

0

0.75

0

0.75

0

null

1

0

null

0

1

0

1

0

7

1cd88f39c69a04775329b19a3e135d3bfedb66eb

5,383

py

Python

First semestre/Informatics/Labs/Lab4/AdditionalTask1.py

robqqq/ITMO

0d33d7b2e1d4baf1ac39e8d688eb38cc23cef03b

[ "MIT" ]

2

2021-02-28T11:42:26.000Z

2021-04-04T15:34:01.000Z

First semestre/Informatics/Labs/Lab4/AdditionalTask1.py

robqqq/ITMO

0d33d7b2e1d4baf1ac39e8d688eb38cc23cef03b

[ "MIT" ]

null

First semestre/Informatics/Labs/Lab4/AdditionalTask1.py

robqqq/ITMO

0d33d7b2e1d4baf1ac39e8d688eb38cc23cef03b

[ "MIT" ]

3

2021-04-09T13:06:37.000Z

2021-06-15T22:15:17.000Z

import re file = open('Hamlet.txt', encoding="utf-8") text = file.read() pattern = re.compile(r"(?<=[.!?]\s)[qQwWrRtTpPsSdDfFgGhHjJkKlLzZxXcCvVbBnNmM]*[eEyYuUiIoOaA][qQwWrRtTpPsSdDfFgGhHjJkKlLzZxXcCvVbBnNmM]*[eEyYuUiIoOaA][qQwWrRtTpPsSdDfFgGhHjJkKlLzZxXcCvVbBnNmM]*(?:(?:[\[,:;\'\"()\s\]])+(?:[qQwWrRtTpPsSdDfFgGhHjJkKlL...

672.875

5,230

0.818874

201

5,383

21.930348

0.139303

0.731397

1.085299

0.61343

0.970962

0.938294

0

0.001679

0.004458

5,383

7

5,231

769

0.820862

0

0.714286

0.595393

0.592235

0

1

0

false

0

0.142857

0

0.142857

0

1

null

1

0

1

0

1

0

1

null

0

15

1cf36d22c7d397f0003d3722a53d62017429869f

6,168

py

Python

tests/v2/test_0982-missing-case-in-nonlocal-reducers.py

amangoel185/awkward-1.0

892b5abca4a2e86842d160cede9836b1c4352e45

[ "BSD-3-Clause" ]

null

tests/v2/test_0982-missing-case-in-nonlocal-reducers.py

amangoel185/awkward-1.0

892b5abca4a2e86842d160cede9836b1c4352e45

[ "BSD-3-Clause" ]

null

tests/v2/test_0982-missing-case-in-nonlocal-reducers.py

amangoel185/awkward-1.0

892b5abca4a2e86842d160cede9836b1c4352e45

[ "BSD-3-Clause" ]

null

# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE from __future__ import absolute_import import pytest # noqa: F401 import numpy as np # noqa: F401 import awkward as ak # noqa: F401 def test(): ak_array = ak._v2.highlevel.Array( [ [[2, 3], [], [], [7,...

24.188235

87

0.379215

740

6,168

3.044595

0.075676

0.118065

0.071904

0.177541

0.870395

0.857967

0.83178

0.819796

0

0.175364

0.38797

6,168

254

88

24.283465

0.421457

0.019131

0

0.585903

0

0.088106

1

0.013216

false

0

0.017621

0

0.030837

0

null

0

1

0

1

0

null

0

8

e803ce7f1b69232b03bb64ecd5108a7713080725

2,559

py

Python

core/lib/point/app/tags.py

nokitakaze/point

a6a6026462116645c33463e5143b791f462da588

[ "Apache-2.0" ]

null

core/lib/point/app/tags.py

nokitakaze/point

a6a6026462116645c33463e5143b791f462da588

[ "Apache-2.0" ]

null

core/lib/point/app/tags.py

nokitakaze/point

a6a6026462116645c33463e5143b791f462da588

[ "Apache-2.0" ]

null

from geweb import log import geweb.db.pgsql as db from point.util.env import env from point.core.user import User, SubscribeError from psycopg2 import IntegrityError def subscribe(taglist, login=None): if login: user = User('login', login) uid = user.id if user == env.user: ra...

28.433333

61

0.509965

306

2,559

4.183007

0.176471

0.103125

0.0375

0.046875

0.842188

0

0.000629

0.378664

2,559

89

62

28.752809

0.804403

0

0.857143

0

0.192729

0

1

0.051948

false

0.025974

0.064935

0

0.116883

0

null

0

1

0

1

0

null

0

7

e82337f341f62ff3f7c1252410582579b8ba0f1f

20,535

py

Python

imports/paper annotation (python)/Annotate.py

cyang0128/Nutritional-Epidemiologic-ontologies

f693be0dab511cd4003d3bd3ee094356850b6f88

[ "CC-BY-4.0" ]

3

2019-07-26T14:07:12.000Z

2021-12-29T02:20:05.000Z

imports/paper annotation (python)/Annotate.py

cyang0128/Nutritional-Epidemiologic-ontologies

f693be0dab511cd4003d3bd3ee094356850b6f88

[ "CC-BY-4.0" ]

1

2021-02-03T06:59:06.000Z

imports/paper annotation (python)/Annotate.py

cyang0128/Nutritional-Epidemiologic-ontologies

f693be0dab511cd4003d3bd3ee094356850b6f88

[ "CC-BY-4.0" ]

2

2021-06-11T04:42:34.000Z

2021-11-10T01:24:35.000Z

def nut(doi, *nut_items): from py2neo import Graph, Node, Relationship graph = Graph("http://localhost:7474", auth=("neo4j", "")) query = """ MATCH (n:`Article`{DOI:'%s'}) MERGE (n)-[:`STROBE-nut`{DOI:'10.1371/journal.pmed.1002036'}]->(:`STROBE-nut article`{name:'Harmonized Article', DOI:'%s'}) ...

43.878205

144

0.472656

2,277

20,535

4.250769

0.056214

0.060337

0.066949

0.074388

0.901539

0.899576

0.89627

0.892861

0.87478

0.836037

0

0.008302

0.313708

20,535

467

145

43.972163

0.678493

0

0.798969

0

0.146907

0.695222

0.271319

0

1

0.002577

false

0

0.002577

0

0.005155

0

null

0

1

0

1

0

1

0

null

0

8

1c1c574b78b09eb97c5ce30956777b0e5980f336

9,338

py

Python

serial_scripts/alarm_config/test_alarm_config.py

atsgen/tf-test

2748fcd81491450c75dadc71849d2a1c11061029

[ "Apache-2.0" ]

5

2020-09-29T00:36:57.000Z

2022-02-16T06:51:32.000Z

serial_scripts/alarm_config/test_alarm_config.py

atsgen/tf-test

2748fcd81491450c75dadc71849d2a1c11061029

[ "Apache-2.0" ]

27

2019-11-02T02:18:34.000Z

2022-02-24T18:49:08.000Z

serial_scripts/alarm_config/test_alarm_config.py

atsgen/tf-test

2748fcd81491450c75dadc71849d2a1c11061029

[ "Apache-2.0" ]

20

2019-11-28T16:02:25.000Z

2022-01-06T05:56:58.000Z

from __future__ import absolute_import from .base import BaseAlarmConfigTest from alarm_test import * from .verify import VerifyAlarms from tcutils.wrappers import preposttest_wrapper import test class TestAlarmConfigCases(BaseAlarmConfigTest, VerifyAlarms): @classmethod def setUpClass(cls): super(Tes...

49.407407

108

0.656779

1,116

9,338

5.280466

0.113799

0.109282

0.120991

0.140506

0.922281

0.907008

0.880367

0.874597

0.836416

0.814865

0

0.023908

0.251981

9,338

188

109

49.670213

0.819757

0.399229

0

0.704545

0

0.298308

0.139701

0

1

0.113636

false

0.011364

0.068182

0

0.193182

0

null

0

1

0

1

0

null

0

7

1c3872127e305c1d6af42c66f910cbac6696d91c

72,366

py

Python

Python-Client/project/myService.py

d0d0d0/Persona

cbea1dfaae1d44b286d9b350ccba36bc7fca4a5a

[ "MIT" ]

null

Python-Client/project/myService.py

d0d0d0/Persona

cbea1dfaae1d44b286d9b350ccba36bc7fca4a5a

[ "MIT" ]

null

Python-Client/project/myService.py

d0d0d0/Persona

cbea1dfaae1d44b286d9b350ccba36bc7fca4a5a

[ "MIT" ]

null

# # Autogenerated by Thrift Compiler (0.9.1) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # # options string: py # from thrift.Thrift import TType, TMessageType, TException, TApplicationException from ttypes import * from thrift.Thrift import TProcessor from thrift.transport import TTransport ...

29.890954

188

0.657118

8,275

72,366

5.520967

0.023082

0.016964

0.030535

0.02758

0.866239

0.827606

0.815086

0.797049

0.777591

0.775774

0

0.006089

0.223821

72,366

2,420

189

29.903306

0.807278

0.027499

0

0.825992

1

0

0.029567

0.001977

0

1

0.125612

false

0.020663

0.003263

0.039152

0.249048

0

null

0

1

0

1

0

null

0

8

1c68dc04e291388e8030fe08e2f4f61d4259235d

14,798

py

Python

model-optimizer/extensions/middle/UselessSridedSlice_test.py

giulio1979/dldt

e7061922066ccefc54c8dae6e3215308ce9559e1

[ "Apache-2.0" ]

1

2021-07-30T17:03:50.000Z

model-optimizer/extensions/middle/UselessSridedSlice_test.py

Dipet/dldt

b2140c083a068a63591e8c2e9b5f6b240790519d

[ "Apache-2.0" ]

null

model-optimizer/extensions/middle/UselessSridedSlice_test.py

Dipet/dldt

b2140c083a068a63591e8c2e9b5f6b240790519d

[ "Apache-2.0" ]

null

""" Copyright (C) 2018-2020 Intel Corporation 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...

55.841509

108

0.48635

1,334

14,798

5.008246

0.106447

0.174225

0.102979

0.107768

0.841491

0.824577

0.820536

0.798383

0.796587

0.793145

0

0.02624

0.389647

14,798

264

109

56.05303

0.713463

0.041898

0

0.701357

0

0.272625

0.044083

0

0.027149

1

0.027149

false

0.004525

0.027149

0

0.058824

0

null

0

1

0

1

0

null

0

7

1c6a6bb7ef6e7b0d4239da4657116113f33219e5

147

wsgi

Python

anella/pi40orch.wsgi

Fundacio-i2CAT/ai4.0-tenor

cafb6127f0c9c4f0a8df1eb48cd4fa1a0ee1aed1

[ "curl", "Vim", "Ruby", "Apache-2.0" ]

null

anella/pi40orch.wsgi

Fundacio-i2CAT/ai4.0-tenor

cafb6127f0c9c4f0a8df1eb48cd4fa1a0ee1aed1

[ "curl", "Vim", "Ruby", "Apache-2.0" ]

null

anella/pi40orch.wsgi

Fundacio-i2CAT/ai4.0-tenor

cafb6127f0c9c4f0a8df1eb48cd4fa1a0ee1aed1

[ "curl", "Vim", "Ruby", "Apache-2.0" ]

null

import sys import os sys.path.insert(0, '/home/ubuntu/TeNOR/anella') os.chdir("/home/ubuntu/TeNOR/anella") from start import APP as application

16.333333

47

0.755102

24

147

4.625

0.666667

0.18018

0.27027

0.378378

0

0.007634

0.108844

147

8

48

18.375

0.839695

0

0.342466

0

1

0

true

0

0.6

0

0.6

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

98e000ea5c0966200da097dc5c6807d6bcaf5585

33,435

py

Python

lime/tests/test_lime_tabular.py

JadeBlue96/lime

f24802810404efeb5bad04553b7b10cfd2419d56

[ "BSD-2-Clause" ]

null

lime/tests/test_lime_tabular.py

JadeBlue96/lime

f24802810404efeb5bad04553b7b10cfd2419d56

[ "BSD-2-Clause" ]

null

lime/tests/test_lime_tabular.py

JadeBlue96/lime

f24802810404efeb5bad04553b7b10cfd2419d56

[ "BSD-2-Clause" ]

null

import collections import unittest import numpy as np import sklearn # noqa import sklearn.linear_model # noqa from lime.discretize import QuartileDiscretizer, DecileDiscretizer, EntropyDiscretizer from numpy.testing import assert_array_equal from sklearn.datasets import load_iris, make_classification, make_multilab...

50.052395

96

0.451234

2,693

33,435

5.347196

0.068325

0.095833

0.055972

0.070486

0.835

0.817639

0.782847

0.779028

0.769028

0.766458

0

0.028637

0.423478

33,435

667

97

50.127436

0.718406

0.070405

0

0.793951

0

0.015302

0

0.081285

1

0.022684

false

0

0.028355

0

0.05293

0.00189

0

null

0

1

0

1

0

null

0

7

c70ab103a0337d6e210d3276e80602ad7026d5f8

1,078

py

Python

scripts/architectures/model2.py

OleguerCanal/kaggle_digit-recognizer

89268df3e13744faacec5bf18bdc5071abf094d4

[ "MIT" ]

null

scripts/architectures/model2.py

OleguerCanal/kaggle_digit-recognizer

89268df3e13744faacec5bf18bdc5071abf094d4

[ "MIT" ]

null

scripts/architectures/model2.py

OleguerCanal/kaggle_digit-recognizer

89268df3e13744faacec5bf18bdc5071abf094d4

[ "MIT" ]

null

from keras.models import Sequential from keras.layers import Conv2D, MaxPooling2D, Dropout, Flatten, Dense, BatchNormalization def model2(input_shape): model = Sequential() model.add(Conv2D(32,kernel_size=3,activation='relu',input_shape=input_shape)) model.add(BatchNormalization()) model.add(Conv2D(32...

35.933333

90

0.718924

140

1,078

5.471429

0.257143

0.198433

0.237598

0.28329

0.714099

0.603133

0

0.042373

0.124304

1,078

29

91

37.172414

0.769068

0

0.5

0

0.039889

0

1

0.041667

false

0

0.083333

0

0.166667

0

null

0

1

0

1

0

null

0

7

c70d5077b66ccef0b5750bbb03fe92575a5ef367

69

py

Python

9.fibbonacci.py

shaunakganorkar/PythonMeetup-2014

a845b1612b5755eeb3b91ba34f3339327763fdfe

[ "MIT" ]

null

9.fibbonacci.py

shaunakganorkar/PythonMeetup-2014

a845b1612b5755eeb3b91ba34f3339327763fdfe

[ "MIT" ]

null

9.fibbonacci.py

shaunakganorkar/PythonMeetup-2014

a845b1612b5755eeb3b91ba34f3339327763fdfe

[ "MIT" ]

null

a, b =0,1 while b<100: print b, a, b= b,a+ b

9.857143

17

0.347826

14

69

1.714286

0.5

0.25

0

0.147059

0.507246

69

6

18

11.5

0.558824

0

null

0

null

0.25

1

0

1

null

1

0

1

0

1

0

null

0

1

0

7

c76f3cf41dd29a4f324495117bd63d892cc280e7

2,891

py

Python

commons/test/test_decorators.py

DeltaML/commons

5f75783e8e63972bc906fac9f63eb4d1469cad4a

[ "MIT" ]

1

2020-04-24T02:19:18.000Z

commons/test/test_decorators.py

DeltaML/commons

5f75783e8e63972bc906fac9f63eb4d1469cad4a

[ "MIT" ]

4

2019-08-23T02:02:17.000Z

2019-09-11T03:22:09.000Z

commons/test/test_decorators.py

DeltaML/commons

5f75783e8e63972bc906fac9f63eb4d1469cad4a

[ "MIT" ]

null

import unittest import numpy as np from numpy import testing from unittest.mock import MagicMock from commons.decorators.decorators import optimized_collection_parameter, optimized_collection_response from commons.decorators.decorators import normalize_optimized_collection_argument, normalize_optimized_response clas...

32.483146

111

0.658596

360

2,891

5.052778

0.122222

0.156679

0.039582

0.04398

0.84497

0.780099

0.728972

0.71138

0

0.023875

0.246627

2,891

88

112

32.852273

0.811295

0

0.617647

0

0.132353

1

0.235294

false

0

0.088235

0.117647

0.455882

0

null

0

1

0

null

0

1

0

1

0

8

c79653b3fea7f7e9ad849d52fc744aa2c1177b81

563

py

Python

Calliope/02 Rechtecke zeichnen/Rechtecke zeichnen.py

frankyhub/Python

323ef1399efcbc24ddc66ad069ff99b4999fff38

[ "MIT" ]

null

Calliope/02 Rechtecke zeichnen/Rechtecke zeichnen.py

frankyhub/Python

323ef1399efcbc24ddc66ad069ff99b4999fff38

[ "MIT" ]

null

Calliope/02 Rechtecke zeichnen/Rechtecke zeichnen.py

frankyhub/Python

323ef1399efcbc24ddc66ad069ff99b4999fff38

[ "MIT" ]

null

""" Rechtecke zeichnen =================================================""" import turtle turtle.left(20) turtle.forward(50) turtle.left(90) turtle.forward(50) turtle.left(90) turtle.forward(50) turtle.left(90) turtle.forward(50) turtle.left(90) turtle.left(30) turtle.forward(50) turtle.left(90) turtle.forward(50) ...

15.216216

52

0.690941

85

563

4.576471

0.129412

0.385604

0.462725

0.647815

0.884319

0

0.102857

0.067496

563

37

53

15.216216

0.638095

0.120782

0

0.857143

0

1

0

true

0

0.035714

0

0.035714

0

null

1

0

1

0

null

0

1

0

11

1bed14150ad7a80f982b176a0a5eedd07ca5e25e

122

py

Python

BoneQuadrentAnalysis_6be3f97a40e711e9ae07005056c00008/__init__.py

daniella-patton/Bone_Micro_Strength

5e01364f060ea2844898459184835d388d3f17e9

[ "MIT" ]

null

BoneQuadrentAnalysis_6be3f97a40e711e9ae07005056c00008/__init__.py

daniella-patton/Bone_Micro_Strength

5e01364f060ea2844898459184835d388d3f17e9

[ "MIT" ]

null

BoneQuadrentAnalysis_6be3f97a40e711e9ae07005056c00008/__init__.py

daniella-patton/Bone_Micro_Strength

5e01364f060ea2844898459184835d388d3f17e9

[ "MIT" ]

null

from .BoneQuadrentAnalysis_6be3f97a40e711e9ae07005056c00008 import BoneQuadrentAnalysis_6be3f97a40e711e9ae07005056c00008

61

121

0.95082

6

122

19

0.666667

0.912281

0

0.393162

0.040984

122

1

122

0.581197

0

1

0

true

0

1

0

1

0

1

0

1

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

9

1bfa2e5ab878443ff444a5aa07dfbd7171a6b69b

118

py

Python

redditchat/common/context.py

reverie/seddit.com

3ffeeae66c85a3b4dd0f164929f171bd7dc23a2f

[ "MIT" ]

1

2020-10-25T15:10:43.000Z

jotleaf/common/context.py

reverie/jotleaf.com

86311b546bb5bae7ba826f5576ea82ac515e8b7d

[ "MIT" ]

4

2020-02-11T23:01:20.000Z

2021-06-10T17:58:40.000Z

redditchat/common/context.py

reverie/seddit.com

3ffeeae66c85a3b4dd0f164929f171bd7dc23a2f

[ "MIT" ]

null

from django.conf import settings as django_settings def settings(request): return {'settings': django_settings}

19.666667

51

0.779661

15

118

6

0.6

0.311111

0

0.144068

118

5

52

23.6

0.891089

0

0.068376

0

1

0.333333

false

0

0.333333

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

4081f1c5a9c2b539f117f1ebc7e8bfe643c2910d

9,583

py

Python

Scripts/calc_Detrend.py

muskanmahajan37/aa

8cc72f8b36da0f76ba019a6d0200c33f951d5f57

[ "MIT" ]

3

2020-03-06T12:22:02.000Z

2022-02-22T00:32:29.000Z

Scripts/calc_Detrend.py

muskanmahajan37/aa

8cc72f8b36da0f76ba019a6d0200c33f951d5f57

[ "MIT" ]

null

Scripts/calc_Detrend.py

muskanmahajan37/aa

8cc72f8b36da0f76ba019a6d0200c33f951d5f57

[ "MIT" ]

3

2019-09-23T07:32:57.000Z

2021-02-12T19:26:45.000Z

""" Functions remove the linear trend at each grid point for the period of 1979-2016. Notes ----- Author : Zachary Labe Date : 4 February 2019 Usage ----- detrendData(datavar,timeperiod) detrendDataR(datavar,timeperiod) """ def detrendData(datavar,level,timeperiod): """ Function remov...

40.605932

82

0.425023

982

9,583

4.135438

0.11609

0.183206

0.075843

0.10293

0.886974

0.866535

0.812361

0.734794

0.710909

0

0.015302

0.399875

9,583

236

83

40.605932

0.690836

0.129813

0

0.707143

0

0.086962

0

1

0.014286

false

0

0.028571

0

0.057143

0.107143

0

null

0

1

0

1

0

null

0

7

40bb02654a87a67d11ca3e44b73ee76e6fccb1c9

136

py

Python

hsi_toolkit/dev/__init__.py

nfahlgren/hsi_toolkit_py

3a03c58bbeaf7b323fa345a22531fa00c56e68b6

[ "MIT" ]

22

2019-02-07T03:55:37.000Z

2021-09-26T06:47:07.000Z

hsi_toolkit/dev/__init__.py

nfahlgren/hsi_toolkit_py

3a03c58bbeaf7b323fa345a22531fa00c56e68b6

[ "MIT" ]

2

2020-04-14T18:21:23.000Z

2020-11-11T08:07:38.000Z

hsi_toolkit/dev/__init__.py

nfahlgren/hsi_toolkit_py

3a03c58bbeaf7b323fa345a22531fa00c56e68b6

[ "MIT" ]

15

2019-02-07T03:56:59.000Z

2022-02-24T07:42:57.000Z

from hsi_toolkit.dev import anomaly_detectors from hsi_toolkit.dev import dim_reduction from hsi_toolkit.dev import signature_detectors

34

47

0.889706

21

136

5.47619

0.47619

0.182609

0.365217

0.443478

0.6

0

0.088235

136

3

48

45.333333

0.927419

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

40cfc41116b4afa7a866817feda41b09e10918a8

2,639

py

Python

mrplot/modules/validators.py

enzofabricio/mrplot

45e865241ea6ed7a4e524cbcbac54b75f2976696

[ "MIT" ]

null

mrplot/modules/validators.py

enzofabricio/mrplot

45e865241ea6ed7a4e524cbcbac54b75f2976696

[ "MIT" ]

null

mrplot/modules/validators.py

enzofabricio/mrplot

45e865241ea6ed7a4e524cbcbac54b75f2976696

[ "MIT" ]

null

'''This module contains useful validators''' from __future__ import absolute_import from PyQt5 import QtGui as qtg class PlotNumValidator(qtg.QValidator): def validate(self, string, index): if len(string) > 10: state = qtg.QValidator.Invalid elif not all([x.isdigit() for x in st...

39.38806

79

0.497916

265

2,639

4.901887

0.192453

0.210162

0.235566

0.192456

0.758276

0.735951

0.714396

0.668206

0

0.008307

0.406972

2,639

66

80

39.984848

0.821725

0.014399

0

0.633333

0

0.001186

0

1

0.066667

false

0

0.033333

0

0.233333

0

null

1

0

1

0

1

0

null

0

7

40ddadae1853c46ce6758b06629f9e054743cd5e

37,830

py

Python

Test/warning_test.py

GeetDsa/pycm

2665124b95abe18cec0729deaefe99e2e916cbeb

[ "MIT" ]

null

Test/warning_test.py

GeetDsa/pycm

2665124b95abe18cec0729deaefe99e2e916cbeb

[ "MIT" ]

null

Test/warning_test.py

GeetDsa/pycm

2665124b95abe18cec0729deaefe99e2e916cbeb

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ >>> from pycm import * >>> from pytest import warns >>> large_cm = ConfusionMatrix(list(range(10))+[2,3,5],list(range(10))+[1,7,2]) >>> with warns(RuntimeWarning, match='The confusion matrix is a high dimension matrix'): ... large_cm.print_matrix() Predict 0 1 2 3 ...

108.085714

203

0.280545

3,748

37,830

2.829242

0.094717

0.126556

0.109487

0.105621

0.976047

0.97567

0.967937

0

0.352077

0.676104

37,830

349

204

108.395415

0.513344

0.999736

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

11

40e78d46ce04ef230f42594f2c8dfec255d51f39

4,286

py

Python

test/test_macro/supporting/test_prefix.py

NikkaZ/dbtvault_spark

383723cd2a35a0bc7b82fd4e77fb1eda0f68cb07

[ "Apache-2.0" ]

null

test/test_macro/supporting/test_prefix.py

NikkaZ/dbtvault_spark

383723cd2a35a0bc7b82fd4e77fb1eda0f68cb07

[ "Apache-2.0" ]

null

test/test_macro/supporting/test_prefix.py

NikkaZ/dbtvault_spark

383723cd2a35a0bc7b82fd4e77fb1eda0f68cb07

[ "Apache-2.0" ]

null

import pytest from test import dbtvault_harness_utils macro_name = "prefix" @pytest.mark.macro def test_prefix_column_in_single_item_list_is_successful(request, generate_model): var_dict = {'columns': ["CUSTOMER_HASHDIFF"], 'prefix': 'c'} generate_model() dbt_logs = dbtvault_harness_utils.run_dbt_mode...

39.685185

117

0.715819

532

4,286

5.332707

0.116541

0.121607

0.162143

0.081072

0.941487

0.935143

0.922806

0.883327

0

0.181521

4,286

107

118

40.056075

0.808723

0

0.757143

1

0

0.143024

0

0.171429

1

0.1

false

0

0.028571

0

0.128571

0

null

0

1

0

1

0

null

0

8

dc00bb191978c7895045f81dedcc56a0da356e92

95,122

py

Python

app/modules/PaloAlto.py

axelvf/assimilator

2ff24b17779b6b8004b414a5d3c920c59bde46b0

[ "MIT" ]

null

app/modules/PaloAlto.py

axelvf/assimilator

2ff24b17779b6b8004b414a5d3c920c59bde46b0

[ "MIT" ]

null

app/modules/PaloAlto.py

axelvf/assimilator

2ff24b17779b6b8004b414a5d3c920c59bde46b0

[ "MIT" ]

null

from bs4 import BeautifulSoup from bs4.element import Tag from lxml import objectify import xmltodict from functools import wraps from app.modules.firewall import Firewall import ConfigParser, re, json, logging from threading import Thread from requests import get from requests.packages.urllib3.exceptions import Insecu...

47.944556

210

0.651122

12,754

95,122

4.822722

0.029716

0.05926

0.036661

0.026825

0.925832

0.912728

0.897869

0.884992

0.875693

0.867353

0

0.008774

0.163632

95,122

1,983

211

47.968734

0.76437

0.010944

0

0.82918

0

0.018172

0.264742

0.062392

0

null

0.002077

0.005711

null

0

null

0

1

0

1

0

null

0

1

0

8

904c7ed0aa3a812113288fb32a2b135c05581530

407

py

Python

chainercv/links/model/yolo/__init__.py

kazutvoice05/Faster_RCNN_SUNRGBD

d376e7ee45422d701f6d4bf301d9c9af611170ff

[ "MIT" ]

1

2018-12-05T04:30:10.000Z

chainercv/links/model/yolo/__init__.py

apple2373/chainercv

1442eac6a316c31eab029c156b6d6e151553be2a

[ "MIT" ]

null

chainercv/links/model/yolo/__init__.py

apple2373/chainercv

1442eac6a316c31eab029c156b6d6e151553be2a

[ "MIT" ]

2

2019-12-16T02:20:26.000Z

2022-01-17T02:00:49.000Z

from chainercv.links.model.yolo.yolo_base import YOLOBase # NOQA from chainercv.links.model.yolo.yolo_v2 import Darknet19Extractor # NOQA from chainercv.links.model.yolo.yolo_v2 import YOLOv2 # NOQA from chainercv.links.model.yolo.yolo_v3 import Darknet53Extractor # NOQA from chainercv.links.model.yolo.yolo_v3 impo...

58.142857

73

0.823096

60

407

5.483333

0.266667

0.237082

0.328267

0.419453

0.74772

0.653495

0

0.030137

0.103194

407

6

74

67.833333

0.871233

0.071253

0

1

0

true

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

907bc6de8052bfcb187d2fe2c78a37da7dba57b0

111

py

Python

Baseline/model/loss.py

ndkhanh360/CAER

93d25828ce2ea050fb379d85258ba3fdbf59d2a6

[ "MIT" ]

18

2020-06-01T18:09:47.000Z

2022-02-01T13:35:20.000Z

Baseline/model/loss.py

ndkhanh360/CAER

93d25828ce2ea050fb379d85258ba3fdbf59d2a6

[ "MIT" ]

12

2020-06-25T09:01:06.000Z

2022-03-12T00:48:22.000Z

Baseline/model/loss.py

ndkhanh360/CAER

93d25828ce2ea050fb379d85258ba3fdbf59d2a6

[ "MIT" ]

6

2020-10-30T07:35:30.000Z

2022-03-28T09:33:33.000Z

import torch.nn.functional as F def cross_entropy(output, target): return F.cross_entropy(output, target)

22.2

42

0.774775

17

111

4.941176

0.705882

0.285714

0.428571

0.571429

0

0.135135

111

4

43

27.75

0.875

0

1

0.333333

false

0

0.333333

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

9

90821ab0225a0f73efb4981fb641e06192dea14b

263

py

Python

kaggler/preprocessing/__init__.py

ppstacy/Kaggler

4fedc30153a4a74343fdec91468b96372873ebac

[ "MIT" ]

null

kaggler/preprocessing/__init__.py

ppstacy/Kaggler

4fedc30153a4a74343fdec91468b96372873ebac

[ "MIT" ]

null

kaggler/preprocessing/__init__.py

ppstacy/Kaggler

4fedc30153a4a74343fdec91468b96372873ebac

[ "MIT" ]

null

from .categorical import OneHotEncoder, LabelEncoder, TargetEncoder, EmbeddingEncoder from .numerical import Normalizer, QuantileEncoder __all__ = ['OneHotEncoder', 'LabelEncoder', 'TargetEncoder', 'EmbeddingEncoder', 'Normalizer', 'QuantileEncoder']

43.833333

85

0.779468

19

263

10.578947

0.578947

0.248756

0.378109

0.537313

0

0.121673

263

5

86

52.6

0.87013

0

0.30038

0

1

0

false

0

0.5

0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

7

908734d9e3e00725ca351589fef044c7f57e31c4

6,632

py

Python

test/smlib_test.py

MagikBSD/smlib

4f031d43dbdc996ab95a12656431c6af2c846413

[ "BSD-2-Clause" ]

null

test/smlib_test.py

MagikBSD/smlib

4f031d43dbdc996ab95a12656431c6af2c846413

[ "BSD-2-Clause" ]

null

test/smlib_test.py

MagikBSD/smlib

4f031d43dbdc996ab95a12656431c6af2c846413

[ "BSD-2-Clause" ]

null

from smlib import * import unittest class MessageTest(unittest.TestCase): def test_basic(self): msg = Message() msg.per('from@example.com') msg.to('to@example.com') msg.subject('Test') msg.text('This is a test.') self.assertEqual(str(msg), 'Content-Type: text/plain; ...

60.290909

700

0.610223

952

6,632

4.226891

0.087185

0.156561

0.10338

0.055666

0.918241

0.914264

0.878479

0.861332

0.838221

0.823807

0

0.024656

0.156062

6,632

109

701

60.844037

0.694301

0

0.639175

0

0.103093

0.631031

0.409077

0

0.123711

1

0.123711

false

0

0.020619

0

0.154639

0.103093

0

null

0

1

0

1

null

0

8

90c4252b09a9ae41c9494ba43192126f3973b039

9,791

py

Python

test/integration/test_zone_lockdown_v1.py

IBM/networking-services-python-sdk

a19e47db6a5971562a502982d69a5868997245f3

[ "Apache-2.0" ]

1

2022-03-26T18:20:42.000Z

test/integration/test_zone_lockdown_v1.py

IBM/networking-services-python-sdk

a19e47db6a5971562a502982d69a5868997245f3

[ "Apache-2.0" ]

null

test/integration/test_zone_lockdown_v1.py

IBM/networking-services-python-sdk

a19e47db6a5971562a502982d69a5868997245f3

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # (C) Copyright IBM Corp. 2020. """ Integration test code for zone firewall lockdown service """ import os import unittest from dotenv import load_dotenv, find_dotenv from ibm_cloud_networking_services.zone_lockdown_v1 import ZoneLockdownV1 configFile = "cis.env" # load the .env file contain...

34.843416

87

0.597079

1,192

9,791

4.735738

0.103188

0.089283

0.087157

0.079362

0.840567

0.833658

0.818246

0.813995

0.805137

0.789371

0

0.025258

0.288326

9,791

280

88

34.967857

0.784874

0.090491

0

0.75

0

0.11298

0.026411

0

0.313725

1

0.039216

false

0

0.019608

0

0.063725

0.019608

0

null

0

1

0

1

0

null

0

7

90c44349ed700874488309b7d41519a7f19dbb54

185

py

Python

jostedal/utils.py

sporsh/jostedal

9d8081a10903f452eb462663cf0946c652440328

[ "MIT" ]

26

2015-12-20T21:42:29.000Z

2022-03-17T03:38:25.000Z

jostedal/utils.py

sporsh/jostedal

9d8081a10903f452eb462663cf0946c652440328

[ "MIT" ]

null

jostedal/utils.py

sporsh/jostedal

9d8081a10903f452eb462663cf0946c652440328

[ "MIT" ]

10

2016-05-29T13:21:06.000Z

2021-12-24T01:14:23.000Z

import hashlib def saslprep(string): #TODO return string def ha1(username, realm, password): return hashlib.md5(':'.join((username, realm, saslprep(password)))).digest()

18.5

80

0.691892

22

185

5.818182

0.636364

0.203125

0

0.012903

0.162162

185

9

81

20.555556

0.812903

0.021622

0

0.005556

0

0.111111

0

1

0.4

false

0.4

0.2

0.4

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

1

0

8

90e7d4c1ae9883e5502f85956055b4486333c006

49,754

py

Python

gnsstools/beidou/b2bi_strings.py

mfkiwl/GNSS-DSP-tools

2680f1c016dc20851fb766b1e63bf9d470ae2f4c

[ "MIT" ]

68

2015-06-23T17:30:06.000Z

2022-03-29T22:06:54.000Z

gnsstools/beidou/b2bi_strings.py

mfkiwl/GNSS-DSP-tools

2680f1c016dc20851fb766b1e63bf9d470ae2f4c

[ "MIT" ]

4

2018-03-01T05:14:36.000Z

2021-12-05T11:07:39.000Z

gnsstools/beidou/b2bi_strings.py

mfkiwl/GNSS-DSP-tools

2680f1c016dc20851fb766b1e63bf9d470ae2f4c

[ "MIT" ]

43

2015-06-26T10:27:05.000Z

2022-03-30T02:47:09.000Z

b2bi_strings = { 19: "g1VrCfVNFH+rV57qwbKeQla3oBPyyFjb4gEwtD6wgY2IlHxi8PIxjhilZLQd3c+N2dF9vKj79McEnR128FDVDU7ah4JipfLyAoRr8uy7R4FirnY8Xox1OSAS23Chz39lWmFFAq0lmg0C5s62acgk2ALzDECWwvguqPfmsc+Uv77MtWF1ubIFwQEGJhtOCKDKTim1gG6E+eYH0k1NmX5orDwhHmDzdJAt8AcmIJKPxlSSxdrfmp+4iNaFdUMDqOHw38QBUydx36LhOqhwgmsjRMjTjAnYP+ccxUxg2vtU...

1,554.8125

1,714

0.963822

1,568

49,754

30.58227

0.98852

0

0.157976

0.002412

49,754

31

1,715

1,604.967742

0.808156

0

0.935484

0.993789

0

1

0

1

0

false

0

1

null

0

1

0

1

null

1

0

7

29017576d65a82b081cdf39c9683c3d45acc6616

10,577

py

Python

cdsw_tensorflow_utils.py

cloudera/dist-tf

eaafc5fc71b237a9ee5d99bea20eff7fe12fb45e

[ "Apache-2.0" ]

null

cdsw_tensorflow_utils.py

cloudera/dist-tf

eaafc5fc71b237a9ee5d99bea20eff7fe12fb45e

[ "Apache-2.0" ]

null

cdsw_tensorflow_utils.py

cloudera/dist-tf

eaafc5fc71b237a9ee5d99bea20eff7fe12fb45e

[ "Apache-2.0" ]

1

2020-11-24T18:04:50.000Z

# CLOUDERA BLOG-SAMPLE-CODE 1.0 # (c) 2020 - 2020 Cloudera, Inc. All rights reserved. # This code is provided to you pursuant to the Apache License 2.0, # # 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 # #...

35.97619

167

0.694904

1,577

10,577

4.426126

0.145212

0.051576

0.025788

0.022923

0.931232

0

0.007779

0.173584

10,577

294

168

35.97619

0.790756

0.157512

0

0.980769

0

0.009615

0.363718

0.090366

0

1

0.028846

false

0.009615

0.076923

0

0.144231

0.019231

0

null

0

1

0

1

0

null

0

7

290432a127d7f8cbfbd4afe10767df02f9345e04

6,648

py

Python

DICE ROLLING SIMULATOR.py

rollex6/Python-refresh

50bc8cc13418657971a25b98d5ea67386ea7b7c6

[ "MIT" ]

null

DICE ROLLING SIMULATOR.py

rollex6/Python-refresh

50bc8cc13418657971a25b98d5ea67386ea7b7c6

[ "MIT" ]

null

DICE ROLLING SIMULATOR.py

rollex6/Python-refresh

50bc8cc13418657971a25b98d5ea67386ea7b7c6

[ "MIT" ]

null

# DICE ROLLING SIMULATOR import random class Dice(): def roll(self,x,y): a = 'y' while a == 'y': print(x,y) if x == 1 and y == 1: print('___________', '___________') print('| |', '| |') print('| 0 |', '| ...

37.559322

62

0.231498

416

6,648

2.588942

0.069712

0.14299

0.311978

0.334262

0.912721

0.886722

0.873723

0.837512

0.7948

0

0.057686

0.525421

6,648

176

63

37.772727

0.283677

0.003309

0

0.784173

0

0.351911

0

1

0.007194

false

0

0.007194

0

0.021583

0.769784

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

12

46346d5f651edc35b0299444d15014203f54a86a

9,759

py

Python

isis/src/qisis/tsts/SquishTests/suites/suite_qmos/tst_movementArrowColors/test.py

ihumphrey-usgs/ISIS3_old

284cc442b773f8369d44379ee29a9b46961d8108

[ "Unlicense" ]

null

isis/src/qisis/tsts/SquishTests/suites/suite_qmos/tst_movementArrowColors/test.py

ihumphrey-usgs/ISIS3_old

284cc442b773f8369d44379ee29a9b46961d8108

[ "Unlicense" ]

null

isis/src/qisis/tsts/SquishTests/suites/suite_qmos/tst_movementArrowColors/test.py

ihumphrey-usgs/ISIS3_old

284cc442b773f8369d44379ee29a9b46961d8108

[ "Unlicense" ]

1

2021-07-12T06:05:03.000Z

import os import shutil def main(): # Backup current qmos settings ...

130.12

3,439

0.605185

1,045

9,759

5.557895

0.166507

0.079029

0.131715

0.149277

0.823519

0.791667

0.774449

0.753099

0.707817

0

0.201765

0.245312

9,759

74

3,440

131.878378

0.58683

0.018752

0

0.283019

0

0.056604

0.653025

0.465018

0

1

0.018868

true

0.075472

0.037736

0

0.056604

0

null

0

1

0

1

0

1

0

1

null

0

1

0

13

464e02719c54103e970d5f0509476d7fed62819a

1,334

py

Python

World/Object/Unit/Spell/Handlers/SpellResult.py

sergio-ivanuzzo/idewave-core

31b2b2ec4ac222e02af57d8b2d7a3277e4a444ae

[ "Apache-2.0" ]

10

2019-06-29T19:24:52.000Z

2021-02-21T22:45:57.000Z

World/Object/Unit/Spell/Handlers/SpellResult.py

sergio-ivanuzzo/wowcore

31b2b2ec4ac222e02af57d8b2d7a3277e4a444ae

[ "Apache-2.0" ]

4

2019-08-15T07:03:36.000Z

2021-06-02T13:01:25.000Z

World/Object/Unit/Spell/Handlers/SpellResult.py

sergio-ivanuzzo/idewave-core

31b2b2ec4ac222e02af57d8b2d7a3277e4a444ae

[ "Apache-2.0" ]

8

2019-06-30T22:47:48.000Z

2021-02-20T19:21:30.000Z

from World.WorldPacket.Constants.WorldOpCode import WorldOpCode from Server.Connection.Connection import Connection class SpellResult(object): def __init__(self, **kwargs): self.data = kwargs.pop('data', bytes()) self.connection: Connection = kwargs.pop('connection') async def process(self) ...

95.285714

945

0.736132

274

1,334

3.562044

0.127737

1.278689

1.82582

2.336066

0.657787

0.642418

0.623975

0.602459

0

0.362769

0.057721

1,334

13

946

102.615385

0.413683

0

0.111111

0.702399

0.685157

0

1

0

1

0.111111

false

0

0.222222

0

0.555556

0

null

1

0

1

0

1

0

1

0

1

null

1

0

10

467c6a185e19bc8f0b2774eab1a7e150dc7e3861

94,988

py

Python

meps_db/components/models/outpatient_visits_models.py

explore-meps/meps_dev

cd98ff6b484799fc0f2f447b3945621bd013bee6

[ "MIT" ]

null

meps_db/components/models/outpatient_visits_models.py

explore-meps/meps_dev

cd98ff6b484799fc0f2f447b3945621bd013bee6

[ "MIT" ]

null

meps_db/components/models/outpatient_visits_models.py

explore-meps/meps_dev

cd98ff6b484799fc0f2f447b3945621bd013bee6

[ "MIT" ]

null

from django.db import models class OutpatientVisits18(models.Model): """ Defines the OutpatientVisits Model for 2018, derived from the model class. """ # Metadata class Meta: """ Set parameters for admin app""" ordering = ["DUPERSID"] verbose_name_plural = "OutpatientVisits18" ...

71.36589

95

0.727776

13,262

94,988

5.123209

0.055271

0.24086

0.06211

0.073472

0.905128

0.885626

0.854115

0.838028

0.823884

0.789268

0

0.035593

0.158504

94,988

1,330

96

71.419549

0.81443

0.025645

0

0.55102

0

0.387979

0.009774

0

1

0.011905

false

0

0.00085

0

0.97619

0

null

1

0

1

0

null

0

7

468599dc1fbb3ba3039adbb15147f01eb92227c3

244

py

Python

concrete_settings/validators/__init__.py

coordt/concrete-settings

b444c3f1f8cdbe30135c1978876215e04ebc7622

[ "MIT" ]

5

2020-04-25T12:18:33.000Z

2021-03-26T18:51:33.000Z

concrete_settings/validators/__init__.py

coordt/concrete-settings

b444c3f1f8cdbe30135c1978876215e04ebc7622

[ "MIT" ]

13

2019-03-20T10:42:39.000Z

2021-07-07T08:01:05.000Z

concrete_settings/validators/__init__.py

coordt/concrete-settings

b444c3f1f8cdbe30135c1978876215e04ebc7622

[ "MIT" ]

3

2020-04-25T08:53:29.000Z

2021-07-06T19:15:52.000Z

from .validator import Validator # noqa: F401 # imported but unused from .required_validator import RequiredValidator # noqa: F401 # imported but unused from .value_type_validator import ValueTypeValidator # noqa: F401 # imported but unused

61

88

0.803279

30

244

6.433333

0.433333

0.233161

0.248705

0.295337

0.430052

0.300518

0

0.043269

0.147541

244

3

89

81.333333

0.884615

0.389344

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

468e8938572600e1233c939749be824dadc8d690

4,970

py

Python

DrivingPerformance/rank1/road1l/new/TurningPerf.py

ahmedkrmn/AirSim

527c8d794df37d5714cfe661a2618945123c4d9c

[ "MIT" ]

null

DrivingPerformance/rank1/road1l/new/TurningPerf.py

ahmedkrmn/AirSim

527c8d794df37d5714cfe661a2618945123c4d9c

[ "MIT" ]

4

2020-03-05T15:42:17.000Z

2020-03-19T05:37:58.000Z

DrivingPerformance/rank1/road1r/TurningPerf.py

ahmedkrmn/AirSim

527c8d794df37d5714cfe661a2618945123c4d9c

[ "MIT" ]

null

# Helper function to get the turning performance with moving in upward right lane and # turn left. def UpLeftRightLane(line1, line2, flag, x, y): laneWidth = abs(line2[0][0]-line2[0][1]) half = line2[0][0] + laneWidth/2 + 2 Rang1_1 = [[half-2, half],[ line2[1][0], line2[1][1] ]] Rang1_2 = [[half, half...

45.181818

90

0.487525

896

4,970

2.592634

0.051339

0.055101

0.030994

0.103315

0.961687

0.94619

0.830822

0

0.173889

0.280282

4,970

110

91

45.181818

0.475538

0.038431

0

0.744681

0

1

0.021277

false

0

0.255319

0

null

0

1

0

1

0

1

0

null

0

8

4694fce07df3dcc1030f1afd7ac623495c3ac417

20,081

py

Python

sdk/purview/azure-purview-account/azure/purview/account/operations/_accounts_operations.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1

2021-09-16T02:33:52.000Z

sdk/purview/azure-purview-account/azure/purview/account/operations/_accounts_operations.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1

2019-08-05T19:14:28.000Z

2019-08-05T19:30:05.000Z

sdk/purview/azure-purview-account/azure/purview/account/operations/_accounts_operations.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1

2016-04-19T22:15:47.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...

37.746241

133

0.524775

1,661

20,081

6.17941

0.146899

0.079306

0.008769

0.01325

0.830281

0.801442

0.789361

0.7841

0.780787

0.76968

0

0.007226

0.359096

20,081

531

134

37.817326

0.790287

0.438325

0

0.714286

0

0.082235

0.008646

0

1

0.040179

false

0

0.044643

0

0.142857

0

null

0

1

0

1

0

null

0

7

46a00a62a08af6e6848a19fa868557f9f70ebd8c

9,202

py

Python

plot_scatter.py

OceanParcels/NorthSeaBeaching_paper

a9910e635bc89d0b774a653677657d110b84f4b9

[ "MIT" ]

null

plot_scatter.py

OceanParcels/NorthSeaBeaching_paper

a9910e635bc89d0b774a653677657d110b84f4b9

[ "MIT" ]

null

plot_scatter.py

OceanParcels/NorthSeaBeaching_paper

a9910e635bc89d0b774a653677657d110b84f4b9

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Jun 30 11:14:23 2021 @author: kaandorp """ import numpy as np import pandas as pd import xarray as xr import os from datetime import datetime,timedelta import matplotlib.pyplot as plt # import cmocean.cm as cmo import pickle import math def load(file...

34.081481

152

0.605521

1,379

9,202

3.836113

0.168963

0.030246

0.010208

0.024197

0.820983

0.815312

0.813043

0.774291

0.751418

0.743667

0

0.069733

0.198978

9,202

270

153

34.081481

0.647945

0.124321

0

0.748691

0

0.04712

0.280713

0.056815

0

1

0.005236

false

0

0.104712

0

0.115183

0

null

0

1

0

1

0

null

0

7

46aa1d8b07fa9a21b9207547da9c0e5fae9f247b

47

py

Python

teste.py

FelipeViana2018/tutorial

f8c858b501a3675077e94e4e07ba45eecbf30499

[ "MIT" ]

null

teste.py

FelipeViana2018/tutorial

f8c858b501a3675077e94e4e07ba45eecbf30499

[ "MIT" ]

null

teste.py

FelipeViana2018/tutorial

f8c858b501a3675077e94e4e07ba45eecbf30499

[ "MIT" ]

null

print("teste branch") print("teste branch ok")

15.666667

24

0.723404

7

47

4.857143

0.571429

0.588235

0.941176

0

0.106383

47

3

24

15.666667

0.809524

0

0.5625

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

d3b37579621d2011d2b73dd74d6f7c7089e2cd8c

50

py

Python

nkit/storage/__init__.py

ankitsainidev/nkit

74d9b31dc5902b6b4770521bccafba2d4cdf5a6f

[ "MIT" ]

null

nkit/storage/__init__.py

ankitsainidev/nkit

74d9b31dc5902b6b4770521bccafba2d4cdf5a6f

[ "MIT" ]

null

nkit/storage/__init__.py

ankitsainidev/nkit

74d9b31dc5902b6b4770521bccafba2d4cdf5a6f

[ "MIT" ]

null

from . import local # TODO: #from . import remote

12.5

21

0.7

7

50

5

0.714286

0.571429

0

0.2

50

3

22

16.666667

0.875

0.5

0

0.333333

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

1

0

7

d3f7922703cff7314a889fb604f685363b501737

3,003

py

Python

tests/test_raises.py

deknowny/middletools

f994197300b57e6a5cd8584168329f236197fa06

[ "MIT" ]

1

2022-02-04T06:42:19.000Z

tests/test_raises.py

deknowny/middlewares

f994197300b57e6a5cd8584168329f236197fa06

[ "MIT" ]

null

tests/test_raises.py

deknowny/middlewares

f994197300b57e6a5cd8584168329f236197fa06

[ "MIT" ]

null

import time import typing import unittest.mock import pytest import middletools from tests.types import InboxType, MockPayload, OutboxType @pytest.mark.asyncio async def test_not_called_call_next(): middleware1_before_call = unittest.mock.Mock() middleware1_after_call = unittest.mock.Mock() middleware2_...

34.125

69

0.741592

333

3,003

6.393393

0.153153

0.065759

0.069047

0.065759

0.824331

0.812588

0.79427

0.764209

0.726163

0

0.014159

0.176823

3,003

87

70

34.517241

0.847087

0.010989

0

0.710145

0

0.217391

1

0

false

0

0.086957

0

0.130435

0

null

0

1

0

1

0

null

0

7

3137722c66d64c86103d9719aebfea14d2a5b673

21,128

py

Python

atomate/qchem/fireworks/core.py

srshivani/atomate

1e851d70a5f107736e3b9c6775e2e9e4a2de7a5d

[ "BSD-3-Clause-LBNL" ]

3

2021-08-02T09:19:20.000Z

2022-03-28T17:37:47.000Z

atomate/qchem/fireworks/core.py

srshivani/atomate

1e851d70a5f107736e3b9c6775e2e9e4a2de7a5d

[ "BSD-3-Clause-LBNL" ]

4

2020-10-14T08:25:24.000Z

2020-10-16T01:05:12.000Z

atomate/qchem/fireworks/core.py

srshivani/atomate

1e851d70a5f107736e3b9c6775e2e9e4a2de7a5d

[ "BSD-3-Clause-LBNL" ]

2

2017-11-14T21:38:29.000Z

2017-11-14T21:42:14.000Z

# coding: utf-8 # Defines standardized Fireworks that can be chained easily to perform various # sequences of QChem calculations. from fireworks import Firework from atomate.qchem.firetasks.parse_outputs import QChemToDb from atomate.qchem.firetasks.run_calc import RunQChemCustodian from atomate.qchem.firetasks.wri...

52.167901

109

0.530008

2,171

21,128

4.956241

0.12713

0.040892

0.05948

0.020074

0.820725

0.809665

0.791543

0.779926

0.768309

0.752695

0

0.005468

0.411445

21,128

404

110

52.29703

0.859831

0.575966

0

0.74537

0

0.080339

0.003646

0

1

0.023148

false

0

0.023148

0

0.069444

0

null

0

1

0

1

0

null

0

7

313f5f9a9b5d0a1f8ac54f47d760b940baf94535

726

py

Python

tests/integration/test_webp.py

wikimedia/operations-software-thumbor-plugins

b30f1594e05118a1d2ed77a886d270866206d08a

[ "MIT" ]

2

2017-06-14T15:14:50.000Z

2018-02-19T12:38:00.000Z

tests/integration/test_webp.py

wikimedia/operations-debs-python-thumbor-wikimedia

555f99fd500a95e00778fa740ac08e41dc6ff896

[ "MIT" ]

null

tests/integration/test_webp.py

wikimedia/operations-debs-python-thumbor-wikimedia

555f99fd500a95e00778fa740ac08e41dc6ff896

[ "MIT" ]

null

from . import WikimediaTestCase class WikimediaTest(WikimediaTestCase): def test_webp(self): self.run_and_check_ssim_and_size( 'thumbor/unsafe/300x/filters:format(png)/Album_en_blanco_y_negro.webp', '300px-Album_en_blanco_y_negro.webp.png', '300px-Album_en_blanco_y_negr...

30.25

84

0.585399

92

726

4.23913

0.369565

0.107692

0.2

0.215385

0.758974

0

0.08502

0.319559

726

23

85

31.565217

0.704453

0

0.47619

0

0.398072

0

1

0.047619

false

0

0.047619

0

0.142857

0

null

0

1

0

1

0

null

0

7

3152c6bcb244894d28f410723830d41ed8575d6e

237

py

Python

typecasts/defaults/__init__.py

python-platonic/typecasts

01deaadfdc7ee7312999104904f717f52013f143

[ "MIT" ]

3

2020-10-05T17:26:54.000Z

2022-02-11T09:15:18.000Z

typecasts/defaults/__init__.py

python-platonic/typecasts

01deaadfdc7ee7312999104904f717f52013f143

[ "MIT" ]

8

2020-10-02T06:29:20.000Z

2021-07-02T11:17:10.000Z

typecasts/defaults/__init__.py

python-platonic/typecasts

01deaadfdc7ee7312999104904f717f52013f143

[ "MIT" ]

null

from typecasts.defaults.base import casts # Configure pydantic rules if Pydantic is installed. try: from typecasts.defaults import pydantic except ImportError: # pragma: no cover ... from typecasts.defaults import dataclass

21.545455

52

0.772152

29

237

6.310345

0.655172

0.213115

0.344262

0.295082

0

0.172996

237

10

53

23.7

0.933673

0.2827

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

1

0

null

0

1

0

1

0

1

0

7

315f467902196cd122cd3ca6f5391211bdcf78ac

4,545

py

Python

test/models/_model_test_case.py

yushangdi/gpytorch

3234046ecb672965af8765d47eb016f85b729bb0

[ "MIT" ]

null

test/models/_model_test_case.py

yushangdi/gpytorch

3234046ecb672965af8765d47eb016f85b729bb0

[ "MIT" ]

null

test/models/_model_test_case.py

yushangdi/gpytorch

3234046ecb672965af8765d47eb016f85b729bb0

[ "MIT" ]

null

#!/usr/bin/env python3 from abc import abstractmethod import torch import gpytorch class _ModelTestCase(object): @abstractmethod def create_model(self, train_data): raise NotImplementedError() @abstractmethod def create_test_data(self): raise NotImplementedError() @abstractmetho...

37.254098

116

0.654565

544

4,545

5.275735

0.148897

0.078049

0.083624

0.100348

0.920557

0.893728

0.862021

0.840767

0.799652

0

0.00941

0.228383

4,545

121

117

37.561983

0.808954

0.035424

0

0.806122

0

0.005478

0

0.204082

1

0.112245

false

0

0.030612

0

0.163265

0

null

0

1

0

1

0

null

0

7

319bcd19670ee301ffd021293b70dfa04c351ee4

11,544

py

Python

src/abaqus/Adaptivity/RemeshingRule.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/Adaptivity/RemeshingRule.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/Adaptivity/RemeshingRule.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

from abaqusConstants import * class RemeshingRule: """The RemeshingRule object controls the adaptive remeshing resizing and the error indicators written to the output database for a specified region of the model. Attributes ---------- suppressed: Boolean A Boolean specifying whether the ...

55.768116

106

0.670478

1,391

11,544

5.535586

0.132279

0.044156

0.062338

0.070649

0.889091

0.873766

0

0.005892

0.294265

11,544

206

107

56.038835

0.939241

0.755544

0

0.25

0

1

0.166667

false

0.166667

0.041667

0

0.291667

0

null

0

1

0

null

0

1

0

7

31a1f7fd7160d20fbca4f45706dba24ac078c2a3

16,158

py

Python

tests/test_sklearn_pipeline.py

zhanjiezhu/hummingbird

e25a22aa539e796290942dd8969fecd88f595b9b

[ "MIT" ]

null

tests/test_sklearn_pipeline.py

zhanjiezhu/hummingbird

e25a22aa539e796290942dd8969fecd88f595b9b

[ "MIT" ]

null

tests/test_sklearn_pipeline.py

zhanjiezhu/hummingbird

e25a22aa539e796290942dd8969fecd88f595b9b

[ "MIT" ]

null

import unittest import numpy as np from sklearn import datasets from sklearn.compose import ColumnTransformer from sklearn.decomposition import PCA from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split from sklearn.pipeline import Pipeline, FeatureUnion from sklearn.p...

38.655502

123

0.61338

1,963

16,158

4.880285

0.069791

0.035073

0.005637

0.008351

0.927975

0.921086

0.918163

0.917432

0.907829

0

0.032506

0.242233

16,158

417

124

38.748201

0.749918

0.015287

0

0.771987

0

0.071909

0

0.078176

1

0.039088

false

0.019544

0.045603

0

0.087948

0

null

0

1

0

1

0

null

0

7

31e36a4b36d5fda4918dd71711f3c8961f277aa2

22,102

py

Python

tests/test_controllers.py

skivis/BlackSheep

486f04ba2045f31dd3e188f52c45a275eb150967

[ "MIT" ]

null

tests/test_controllers.py

skivis/BlackSheep

486f04ba2045f31dd3e188f52c45a275eb150967

[ "MIT" ]

null

tests/test_controllers.py

skivis/BlackSheep

486f04ba2045f31dd3e188f52c45a275eb150967

[ "MIT" ]

null

from functools import wraps from tests.test_files_serving import get_file_path from typing import Optional import pytest from blacksheep import Request, Response from blacksheep.server.application import RequiresServiceContainerError from blacksheep.server.controllers import ApiController, Controller, RoutesRegistry f...

27.977215

89

0.616189

2,516

22,102

5.277424

0.090223

0.03133

0.076819

0.033891

0.828513

0.817668

0.806371

0.776698

0.76879

0.745142

0

0.010982

0.258393

22,102

789

90

28.012674

0.799097

0.021672

0

0.760943

0

0.068567

0.006755

0

0.132997

1

0.069024

false

0

0.021886

0.058923

0.252525

0

null

0

1

0

1

0

null

0

7

b4180d981088f960f213c8d8a1f38ad4149f8869

142

py

Python

tools/dist_test.py

chetanmreddy/imvoxelnet

10dd35a96539af7b147be4bb03b0395cc164177e

[ "MIT" ]

1

2022-03-11T11:05:35.000Z

tools/dist_test.py

chetanmreddy/imvoxelnet

10dd35a96539af7b147be4bb03b0395cc164177e

[ "MIT" ]

null

tools/dist_test.py

chetanmreddy/imvoxelnet

10dd35a96539af7b147be4bb03b0395cc164177e

[ "MIT" ]

null

import os os.system('bash tools/dist_test.sh configs/imvoxelnet/imvoxelnet_kitti.py work_dirs/atlas_kitti/20210503_214214.pth 2 --eval mAP')

35.5

130

0.823944

24

142

4.666667

0.875

0

0.113636

0.070423

142

3

131

47.333333

0.734848

0

0.5

0.823944

0.556338

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

null

0

1

0

1

0

7

b420b2178a41d3a7b20a9f240c9537ca11c73ebe

1,564

py

Python

score sorter.py

tommy2006/hello-world

8c4d2329861b75930f82b1e0142daa5d6c95fae1

[ "MIT" ]

null

score sorter.py

tommy2006/hello-world

8c4d2329861b75930f82b1e0142daa5d6c95fae1

[ "MIT" ]

null

score sorter.py

tommy2006/hello-world

8c4d2329861b75930f82b1e0142daa5d6c95fae1

[ "MIT" ]

null

print ("How many students' test scores do you want to arrange?") a = input() if a == "2": print ("Enter first student's name") name1 = input() print ("Enter his/her score") score1 = input() print ("Enter second student's name") name2 = input() print ("Enter his/her score") scor...

30.666667

66

0.570332

205

1,564

4.35122

0.190244

0.201794

0.252242

0.181614

0.876682

0.817265

0.726457

0.693946

0

0.034821

0.283887

1,564

50

67

31.28

0.761607

0

0.78

0

0.309775

0

1

0

false

0

0.44

0

null

1

0

1

0

null

0

1

0

11

81f0c25afb30f199a2e0ba4cfbd0ab038004f60c

139

py

Python

codigofacilito/__init__.py

GuillermoGA/codigofacilito_package

e478ed452ef23085ad61450c717c0ddb3fbbabfb

[ "MIT" ]

null

codigofacilito/__init__.py

GuillermoGA/codigofacilito_package

e478ed452ef23085ad61450c717c0ddb3fbbabfb

[ "MIT" ]

null

codigofacilito/__init__.py

GuillermoGA/codigofacilito_package

e478ed452ef23085ad61450c717c0ddb3fbbabfb

[ "MIT" ]

null

from codigofacilito.workshops import unreleased from codigofacilito.workshops import released from codigofacilito.articles import articles

34.75

47

0.892086

15

139

8.266667

0.466667

0.435484

0.532258

0

0.086331

139

3

48

46.333333

0.976378

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

c30288077063a886c537964e0dfeffef502c191c

74,028

py

Python

tests/metrics/test_metrics.py

fangchenli/zipline

92abca6e0adb01af23cefd4de80c2c2721d72b89

[ "Apache-2.0" ]

1

2020-12-18T18:19:58.000Z

tests/metrics/test_metrics.py

fangchenli/zipline

92abca6e0adb01af23cefd4de80c2c2721d72b89

[ "Apache-2.0" ]

null

tests/metrics/test_metrics.py

fangchenli/zipline

92abca6e0adb01af23cefd4de80c2c2721d72b89

[ "Apache-2.0" ]

null

import unittest import numpy as np import pandas as pd from zipline import api from zipline.assets import Equity, Future from zipline.assets.synthetic import make_commodity_future_info from zipline.data.data_portal import DataPortal from zipline.data.resample import MinuteResampleSessionBarReader from zipline.testing...

31.622384

79

0.541147

7,254

74,028

5.240419

0.061345

0.037907

0.037486

0.019835

0.857289

0.823723

0.798522

0.772847

0.75096

0.743621

0

0.009712

0.38245

74,028

2,340

80

31.635897

0.821813

0.096747

0

0.704737

0

0.059722

0.004408

0

0.068947

1

0.023158

false

0.003158

0.005789

0.004211

0.056316

0

null

0

1

0

1

0

null

0

7

c32878b9a6146ba8d1df49cb3bb6ba870e800877

82

py

Python

tests/test_bugmgmt.py

evrardjp/osa_cli_bugs

1599a39078c5bbae6a97551df297a0a81e37f0bb

[ "Apache-2.0" ]

null

tests/test_bugmgmt.py

evrardjp/osa_cli_bugs

1599a39078c5bbae6a97551df297a0a81e37f0bb

[ "Apache-2.0" ]

37

2018-12-16T14:12:18.000Z

2020-08-10T07:33:25.000Z

tests/test_bugmgmt.py

evrardjp/osa_cli_bugs

1599a39078c5bbae6a97551df297a0a81e37f0bb

[ "Apache-2.0" ]

null

import osa_cli_bugs.bugmgmt as bugs # TODO def test_output_has_link(): pass

11.714286

35

0.756098

14

82

4.071429

0.928571

0

0.182927

82

6

36

13.666667

0.850746

0.04878

0

0.166667

0

1

0.333333

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

7

c3353b27e353e4f5e4fb2e1ee0f4572bbe51ae91

19,873

py

Python

src/genie/libs/parser/iosxe/tests/ShowIpAccessLists/cli/equal/golden_ip_access_list_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxe/tests/ShowIpAccessLists/cli/equal/golden_ip_access_list_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxe/tests/ShowIpAccessLists/cli/equal/golden_ip_access_list_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { "ACL_TEST": { "aces": { "80": { "actions": {"forwarding": "deny", "logging": "log-none"}, "matches": { "l3": { "ipv4": { "source_network": { ...

39.508946

78

0.212348

1,018

19,873

4.057957

0.065815

0.049383

0.032922

0.963689

0

0.131818

0.667891

19,873

502

79

39.587649

0.494091

0

0.474104

0

0.225381

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

8

6f0de54af3af290e8a3c1094904c3c36599f9728

125

py

Python

main.py

TheJokersThief/Jobs2BigQuery

6268b5cf4621069a4c736a143832845b4f52bfd3

[ "MIT" ]

5

2021-06-05T13:17:07.000Z

2021-07-12T11:27:44.000Z

main.py

TheJokersThief/Jobs2BigQuery

6268b5cf4621069a4c736a143832845b4f52bfd3

[ "MIT" ]

null

main.py

TheJokersThief/Jobs2BigQuery

6268b5cf4621069a4c736a143832845b4f52bfd3

[ "MIT" ]

1

2021-06-10T06:00:00.000Z

from jobs2bigquery import ingest_pubsub def execute_jobs2bigquery(event, context): return ingest_pubsub(event, context)

25

42

0.824

15

125

6.666667

0.666667

0.24

0

0.018182

0.12

125

4

43

31.25

0.890909

0

1

0.333333

false

0

0.333333

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

6f24e13f5e094a687107317433da802ee337e6ee

1,082

py

Python

test/apps/minermedic/resources/miners/claymore_gpu.py

holitics/minermedic

39dd03e58d665bea23f1e9c9ab134a794d092cb1

[ "Apache-2.0" ]

2

2020-02-13T15:32:43.000Z

2020-04-08T04:10:10.000Z

test/apps/minermedic/resources/miners/claymore_gpu.py

alimogh/minermedic

39dd03e58d665bea23f1e9c9ab134a794d092cb1

[ "Apache-2.0" ]

11

2019-11-23T00:20:23.000Z

2020-01-02T02:17:55.000Z

test/apps/minermedic/resources/miners/claymore_gpu.py

alimogh/minermedic

39dd03e58d665bea23f1e9c9ab134a794d092cb1

[ "Apache-2.0" ]

2

2020-06-15T22:32:43.000Z

2020-07-17T18:40:58.000Z

routes = { '{"method": "miner_getstat1"}' : {"id": -1, "result": ["12.0 - ETH", "31", "314167;145;0", "29262;23145;23137;29254;29256;29248;29247;29035;23144;23145;23139;23149", "0;0;0", "off;off;off;off;off;off;off;off;off;off;off;off", "54;80;52;80;55;80;53;80;54;80;54;80;54;80;56;80;56;80;59;80;55;80;58;80", "us1.e...

270.5

709

0.818854

89

1,082

9.932584

0.494382

0.074661

0.10181

0.122172

0.056561

0.040724

0

0.609195

0.03512

1,082

4

710

270.5

0.237548

0

0.75

0.891043

0.742382

0

1

0

1

0

false

0

null

0

1

0

1

0

1

0

1

null

1

0

8

6f5f34e2a2dd8957f18857db99970402a8904ae2

49

py

Python

instance/config.py

amwaniki180/news-highlights

8e1bfb3c4809f331c5f3cd83e26906956f5a90b7

[ "Unlicense" ]

null

instance/config.py

amwaniki180/news-highlights

8e1bfb3c4809f331c5f3cd83e26906956f5a90b7

[ "Unlicense" ]

null

instance/config.py

amwaniki180/news-highlights

8e1bfb3c4809f331c5f3cd83e26906956f5a90b7

[ "Unlicense" ]

null

NEWS_API_KEY = '69ffddaa40354ce6b0f5e313403cc1af'

49

0.897959

4

49

10.5

1

0

0.361702

0.040816

49

1

49

0.531915

0

0.64

0

1

0

false

0

1

null

0

1

0

1

0

1

null

0

7

488f34aff32a39aa6ec638f3a0557cfe8a9222f2

114,774

py

Python

multiple-languages/python/ros-cdk-hbr-1.0.3/src/ros_cdk_hbr/__init__.py

aliyun/Resource-Orchestration-Service-Cloud-Development-K

2b81e135002ed81cb72f7d07be7ff497ea39e2e1

[ "Apache-2.0" ]

15

2020-11-10T02:00:28.000Z

2022-02-07T19:28:10.000Z

multiple-languages/python/ros-cdk-hbr-1.0.3/src/ros_cdk_hbr/__init__.py

aliyun/Resource-Orchestration-Service-Cloud-Development-K

2b81e135002ed81cb72f7d07be7ff497ea39e2e1

[ "Apache-2.0" ]

23

2021-02-02T04:37:02.000Z

2022-03-31T06:41:06.000Z

multiple-languages/python/ros-cdk-hbr-1.0.3/src/ros_cdk_hbr/__init__.py

aliyun/Resource-Orchestration-Service-Cloud-Development-K

2b81e135002ed81cb72f7d07be7ff497ea39e2e1

[ "Apache-2.0" ]

4

2021-01-13T05:48:43.000Z

2022-03-15T11:26:48.000Z

''' ## Aliyun ROS HBR Construct Library This module is part of the AliCloud ROS Cloud Development Kit (ROS CDK) project. ```python # Example automatically generated from non-compiling source. May contain errors. import * as HBR from '@alicloud/ros-cdk-hbr'; ``` ''' import abc import builtins import datetime import en...

43.229379

735

0.668984

13,630

114,774

5.436537

0.026192

0.039595

0.062753

0.12583

0.937746

0.933198

0.926059

0.924076

0.921619

0.912942

0

0.002006

0.20949

114,774

2,654

736

43.245667

0.814703

0.223378

0

0.824396

1

0

0.123157

0.025495

0

0.022392

1

0.163229

false

0.003536

0.005893

0.027107

0.312316

0

null

0

1

0

1

0

null

0

8

48b4761d25821c52c13df9c60001bae4ebcc67d1

97

py

Python

urpautils/__init__.py

Tscunami/urpautils

af050f3588eca1b9ca6f69d6d5e626358ef2be24

[ "MIT" ]

1

2021-09-15T12:49:56.000Z

urpautils/__init__.py

Tscunami/urpautils

af050f3588eca1b9ca6f69d6d5e626358ef2be24

[ "MIT" ]

8

2021-07-29T07:12:10.000Z

2021-10-21T13:12:15.000Z

urpautils/__init__.py

Tscunami/urpautils

af050f3588eca1b9ca6f69d6d5e626358ef2be24

[ "MIT" ]

2

2021-06-01T11:40:49.000Z

2021-09-07T10:10:50.000Z

from .universal import * from .csv_utils import * from .file_utils import * from .robot import *

19.4

25

0.752577

14

97

5.071429

0.5

0.422535

0

0.164948

97

4

26

24.25

0.876543

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

48dbba2b75e138ac0dd4d33ec0026e3f39b4b281

3,419

py

Python

python/tests/generated/errors/validation/test_expected_list_got_fieldset.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

17

2019-04-15T21:03:37.000Z

2022-01-24T11:03:34.000Z

python/tests/generated/errors/validation/test_expected_list_got_fieldset.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

20

2019-03-13T23:23:40.000Z

2022-03-29T13:40:57.000Z

python/tests/generated/errors/validation/test_expected_list_got_fieldset.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

4

2019-04-15T21:18:03.000Z

2019-09-21T16:18:10.000Z

import enolib def test_expecting_a_list_but_getting_a_fieldset_with_one_item_raises_the_expected_validationerror(): error = None input = ("fieldset:\n" "entry = value") try: enolib.parse(input).list('fieldset') except enolib.ValidationError as _error: if isinstance(_error...

29.991228

125

0.522082

356

3,419

4.848315

0.174157

0.114716

0.13905

0.08343

0.933951

0.918308

0.900927

0.882387

0.766512

0

0.014046

0.35449

3,419

114

126

29.991228

0.768011

0

0.804598

0

0.224269

0

0.241379

1

0.034483

false

0

0.011494

0

0.045977

0

null

0

1

0

1

0

null

0

7

d2a2daedbe1ca10d54bef3a0b09a1a367d2d83ca

1,976

py

Python

data/create_dataset.py

ShubhamKPandey/pytorch-CycleGAN-and-pix2pix

8575d0f49ab8d790bee6bad4e3fed7e614dc7353

[ "BSD-3-Clause" ]

null

data/create_dataset.py

ShubhamKPandey/pytorch-CycleGAN-and-pix2pix

8575d0f49ab8d790bee6bad4e3fed7e614dc7353

[ "BSD-3-Clause" ]

1

2020-12-28T07:54:39.000Z

data/create_dataset.py

ShubhamKPandey/pytorch-CycleGAN-and-pix2pix

8575d0f49ab8d790bee6bad4e3fed7e614dc7353

[ "BSD-3-Clause" ]

2

2020-12-28T07:36:25.000Z

2021-01-12T12:21:40.000Z

import os import shutil dir_test = 'E:\Tejas_pix\pytorch-CycleGAN-and-pix2pix\datasets\york\_train\_test' dir_train = 'E:\Tejas_pix\pytorch-CycleGAN-and-pix2pix\datasets\york\_train\_train' for (dirpath, dirnames, filenames) in os.walk(dir_test): print(filenames) arr1 = os.listdir('E:\Tejas_pix\pytorch-CycleGAN...

27.068493

88

0.600709

289

1,976

4.00692

0.190311

0.067358

0.101036

0.17962

0.779793

0.743523

0

0.018531

0.235324

1,976

72

89

27.444444

0.747849

0.109312

0

0.693878

0

0.426042

0.423758

0

1

0

false

0

0.040816

0

0.040816

0.081633

0

null

0

1

0

1

0

1

null

0

7

826e0df9eb99704b49e2fb5517ad3cceab62513d

54

py

Python

docker/ibm-db2/verify.py

tamarsix/dockerfiles

3ad3d4fc3e7dd55ac823bb1c5ddd530829cf0f07

[ "MIT" ]

null

docker/ibm-db2/verify.py

tamarsix/dockerfiles

3ad3d4fc3e7dd55ac823bb1c5ddd530829cf0f07

[ "MIT" ]

null

docker/ibm-db2/verify.py

tamarsix/dockerfiles

3ad3d4fc3e7dd55ac823bb1c5ddd530829cf0f07

[ "MIT" ]

null

import ibm_db print("ibm_db imported successfully")

10.8

37

0.796296

8

54

5.125

0.75

0.243902

0

0.12963

54

4

38

13.5

0.87234

0

0.518519

0

1

0

true

0

1

0

1

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

82808935f95be5103f3f40d7ad6c2d6ec51a183b

77

py

Python

daves_rl_lib/mcts/__init__.py

davmre/rl

d5c6413651bc3d3f9419717ab5748715e28a7043

[ "Apache-2.0" ]

null

daves_rl_lib/mcts/__init__.py

davmre/rl

d5c6413651bc3d3f9419717ab5748715e28a7043

[ "Apache-2.0" ]

null

daves_rl_lib/mcts/__init__.py

davmre/rl

d5c6413651bc3d3f9419717ab5748715e28a7043

[ "Apache-2.0" ]

null

from daves_rl_lib.mcts import mcts from daves_rl_lib.mcts import tree_policy

25.666667

41

0.87013

15

77

4.133333

0.533333

0.290323

0.354839

0.451613

0.774194

0

0.103896

77

2

42

38.5

0.898551

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

9

829c68d53f809e1405579cace3e6eac97eab810b

15,392

py

Python

src/backend/joanie/lms_handler/tests/test_api_course_run_sync_edx.py

openfun/joanie

9e820d04875baa3ddd57917a1f71157a32187af0

[ "MIT" ]

6

2021-02-22T08:43:08.000Z

2022-02-18T14:48:46.000Z

src/backend/joanie/lms_handler/tests/test_api_course_run_sync_edx.py

openfun/joanie

9e820d04875baa3ddd57917a1f71157a32187af0

[ "MIT" ]

25

2021-01-28T20:19:59.000Z

2022-02-23T10:20:14.000Z

src/backend/joanie/lms_handler/tests/test_api_course_run_sync_edx.py

openfun/joanie

9e820d04875baa3ddd57917a1f71157a32187af0

[ "MIT" ]

null

""" Tests for CourseRun web hook. """ import json from django.conf import settings from django.test import TestCase, override_settings from joanie.core.factories import CourseFactory, CourseRunFactory from joanie.core.models import Course, CourseRun from joanie.lms_handler.serializers import SyncCourseRunSerializer ...

39.568123

98

0.602326

1,652

15,392

5.485472

0.119249

0.047672

0.014897

0.019422

0.844626

0.824873

0.803355

0.788347

0.777533

0.770139

0

0.109643

0.272349

15,392

388

99

39.670103

0.699464

0.097128

0

0.713805

0

0.037037

0.309813

0.158177

0

0.151515

1

0.037037

false

0

0.020202

0

0.060606

0

null

0

1

0

1

0

null

0

7

82d8a014b0901a17d15d79472c153fc6875038cf

1,019

py

Python

biobb_analysis/test/unitests/test_ambertools/test_cpptraj_convert_container.py

bioexcel/biobb_analysis

794683daf65eb13ddaaaf6cf3c19da6d1322a949

[ "Apache-2.0" ]

3

2019-05-18T14:52:30.000Z

2020-10-18T06:20:00.000Z

biobb_analysis/test/unitests/test_ambertools/test_cpptraj_convert_container.py

bioexcel/biobb_analysis

794683daf65eb13ddaaaf6cf3c19da6d1322a949

[ "Apache-2.0" ]

7

2019-03-04T15:04:28.000Z

2021-06-17T10:57:25.000Z

biobb_analysis/test/unitests/test_ambertools/test_cpptraj_convert_container.py

bioexcel/biobb_analysis

794683daf65eb13ddaaaf6cf3c19da6d1322a949

[ "Apache-2.0" ]

null

from biobb_common.tools import test_fixtures as fx from biobb_analysis.ambertools.cpptraj_convert import cpptraj_convert class TestCpptrajConvertDocker(): def setUp(self): fx.test_setup(self,'cpptraj_convert_docker') def tearDown(self): fx.test_teardown(self) pass def test_conver...

33.966667

97

0.727184

128

1,019

5.515625

0.25

0.101983

0.144476

0.124646

0.716714

0.600567

0

0.169774

1,019

29

98

35.137931

0.834515

0

0.636364

0

0.167812

0.093229

0

0.181818

1

0.272727

false

0.090909

0

0.454545

0

null

0

1

0

null

0

1

0

1

0

7

816d9b2a3c01af6613181b585e8c46d0b64e8dce

239

py

Python

Random Code/chess.py

Tr8rStudios/Python-Projects

bb68b3e13de423dd25862e4247d9ee941b068c93

[ "MIT" ]

null

Random Code/chess.py

Tr8rStudios/Python-Projects

bb68b3e13de423dd25862e4247d9ee941b068c93

[ "MIT" ]

null

Random Code/chess.py

Tr8rStudios/Python-Projects

bb68b3e13de423dd25862e4247d9ee941b068c93

[ "MIT" ]

null

startingBoard = [[['b','R'],['b','K'],['b','B'],bQ,bKi,['b','B'],['b','K'],['b','R']],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0],[wR,wK,wB,wQ,wK,wB,wK,wR]]

119.5

238

0.426778

79

239

1.291139

0.139241

1.078431

1.588235

2.078431

0.54902

0

0.237288

0.012552

239

2

238

119.5

0.194915

0

0.050209

0

1

0

false

0

1

null

1

0

1

0

1

0

1

0

null

0

8

818246fd48f273e1da70241300a96430efabc71a

62,633

py

Python

typings/bl_ui/properties_physics_dynamicpaint.py

Argmaster/PyR3

6786bcb6a101fe4bd4cc50fe43767b8178504b15

[ "MIT" ]

2

2021-12-12T18:51:52.000Z

2022-02-23T09:49:16.000Z

src/blender/blender_autocomplete-master/2.92/bl_ui/properties_physics_dynamicpaint.py

JonasWard/ClayAdventures

a716445ac690e4792e70658319aa1d5299f9c9e9

[ "MIT" ]

2

2021-11-08T12:09:02.000Z

2021-12-12T23:01:12.000Z

src/blender/blender_autocomplete-master/2.92/bl_ui/properties_physics_dynamicpaint.py

JonasWard/ClayAdventures

a716445ac690e4792e70658319aa1d5299f9c9e9

[ "MIT" ]

null

import sys import typing import bpy_types class PHYSICS_UL_dynapaint_surfaces(bpy_types.UIList, bpy_types._GenericUI): bl_rna = None ''' ''' id_data = None ''' ''' def append(self, draw_func): ''' ''' pass def as_pointer(self): ''' ''' pas...

12.441994

78

0.387831

5,186

62,633

4.396838

0.01909

0.217963

0.222875

0.142882

0.988071

0.987501

0.986536

0.985089

0

0.479284

62,633

5,033

79

12.444467

0.699148

0

0.982961

0

1

0.43067

false

0.43067

0.001763

0

0.556404

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

12

81c5c0655b814fe6a653a7d8f1b4ddd2a8774122

3,115

py

Python

tests/propagation/test_solvers.py

emir-munoz/tf-propagation

e3ff28eff4be7711d941a6303bdde11e1f18453e

[ "MIT" ]

null

tests/propagation/test_solvers.py

emir-munoz/tf-propagation

e3ff28eff4be7711d941a6303bdde11e1f18453e

[ "MIT" ]

null

tests/propagation/test_solvers.py

emir-munoz/tf-propagation

e3ff28eff4be7711d941a6303bdde11e1f18453e

[ "MIT" ]

null

# -*- coding: utf-8 -*- import pytest import numpy as np import tensorflow as tf from propagation.solvers import ExactSolver, JacobiSolver def test_batch_solvers(): A_ph = tf.placeholder('float32', [None, None, None], name='A') B_ph = tf.placeholder('float32', [None, None, None], name='B') es = ExactS...

29.386792

66

0.578812

524

3,115

3.20229

0.116412

0.057211

0.021454

0.078665

0.898689

0.888558

0.868892

0

0.065873

0.244623

3,115

105

67

29.666667

0.647259

0.006742

0

0.746269

0

0.027167

0

0.044776

1

0.044776

false

0

0.059701

0

0.104478

0

null

0

1

0

1

0

null

0

7

81d634801af391249b82cdb5cab963dd94f4c556

5,848

py

Python

qaqa_bot/database_versions/fe0646eb142a_add_not_null_constraints.py

mhthies/QAQAbot

c93d4157bcfba775e14d860dd62b5f6cabb442f8

[ "Apache-2.0" ]

4

2020-06-01T12:38:18.000Z

2020-12-22T21:42:05.000Z

qaqa_bot/database_versions/fe0646eb142a_add_not_null_constraints.py

mhthies/QAQAbot

c93d4157bcfba775e14d860dd62b5f6cabb442f8

[ "Apache-2.0" ]

41

2020-05-02T11:25:53.000Z

2021-11-03T19:39:37.000Z

qaqa_bot/database_versions/fe0646eb142a_add_not_null_constraints.py

mhthies/QAQAbot

c93d4157bcfba775e14d860dd62b5f6cabb442f8

[ "Apache-2.0" ]

1

2021-01-05T12:43:24.000Z

"""Add NOT NULL constraints Revision ID: fe0646eb142a Revises: 5b48c4a0a25d Create Date: 2020-04-19 22:06:12.739973 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'fe0646eb142a' down_revision = '5b48c4a0a25d' branch_labels = None depends_on = None def upgrad...

42.071942

68

0.491621

552

5,848

4.931159

0.153986

0.102866

0.141073

0.211609

0.891991

0.882072

0.879133

0

0.020625

0.419631

5,848

138

69

42.376812

0.781379

0.052326

0

0.928571

0

0.065758

0.015985

0

1

0.017857

false

0

0.017857

0

0.035714

0

null

0

1

0

1

0

null

0

8

c4d05eaa62def5157e76cc195f115b1bd5ce28ab

3,288

py

Python

apps/challenges/migrations/0031_add_db_index_to_challenge_related_models.py

kaustubh-s1/EvalAI

1884811e7759e0d095f7afb68188a7f010fa65dc

[ "BSD-3-Clause" ]

1,470

2016-10-21T01:21:45.000Z

2022-03-30T14:08:29.000Z

apps/challenges/migrations/0031_add_db_index_to_challenge_related_models.py

kaustubh-s1/EvalAI

1884811e7759e0d095f7afb68188a7f010fa65dc

[ "BSD-3-Clause" ]

2,594

2016-11-02T03:36:01.000Z

2022-03-31T15:30:04.000Z

apps/challenges/migrations/0031_add_db_index_to_challenge_related_models.py

kaustubh-s1/EvalAI

1884811e7759e0d095f7afb68188a7f010fa65dc

[ "BSD-3-Clause" ]

865

2016-11-09T17:46:32.000Z

2022-03-30T13:06:52.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.2 on 2017-09-15 02:24 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("challenges", "0030_add_boolean_field_in_star_model")] operations = [ migrations.AlterFie...

31.92233

79

0.533455

287

3,288

5.909408

0.254355

0.153302

0.191627

0.222288

0.795401

0.701651

0.632075

0

0.018642

0.363747

3,288

102

80

32.235294

0.792065

0.020681

0

0.8

1

0

0.136773

0.025179

0

1

0

false

0

0.021053

0

0.052632

0

null

0

1

0

1

0

1

0

1

0

null

0

8

c4f38b7eb9356b85719fb54443512f0bfee051a6

225

py

Python

2756.py

luizgallas/uri_iniciante

fd23f2fe1638b373b94b7b4ddb2d906cec8db87b

[ "Apache-2.0" ]

null

2756.py

luizgallas/uri_iniciante

fd23f2fe1638b373b94b7b4ddb2d906cec8db87b

[ "Apache-2.0" ]

null

2756.py

luizgallas/uri_iniciante

fd23f2fe1638b373b94b7b4ddb2d906cec8db87b

[ "Apache-2.0" ]

null

print(" "*7 + "A") print(" "*6 + "B B") print(" "*5 + "C C") print(" "*4 + "D" + " "*5 + "D") print(" "*3 + "E" + " "*7 + "E") print(" "*4 + "D" + " "*5 + "D") print(" "*5 + "C C") print(" "*6 + "B B") print(" "*7 + "A")

22.5

32

0.324444

37

225

1.972973

0.297297

0.164384

0.191781

0.219178

0.821918

0.383562

0

0.072289

0.262222

225

9

33

25

0.36747

0

0.888889

0

0.16

0

1

0

true

0

1

0

1

null

0

1

0

1

0

1

0

1

0

null

0

1

0

1

0

9

c4f6a6a4a4d678bc21ecf19078e693502475fe9c

21,040

py

Python

forms/migrations/0034_auto_20191218_1356.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

4

2020-01-05T09:14:19.000Z

2022-02-17T03:22:09.000Z

forms/migrations/0034_auto_20191218_1356.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

68

2019-12-23T02:19:55.000Z

2021-04-23T06:13:36.000Z

forms/migrations/0034_auto_20191218_1356.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

2

2020-11-07T12:23:21.000Z

2021-11-07T18:21:31.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('forms', '0033_auto_20191212_2003'), ] operations = [ migrations.AlterField( model_name='internetnewssheet', ...

467.555556

4,014

0.68731

2,715

21,040

5.316022

0.13407

0.020786

0.029446

0.010046

0.98254

0

0.061403

0.139259

21,040

44

4,015

478.181818

0.73556

0.000998

0

0.657895

0

0.263158

0.806538

0.00609

0

1

0

false

0

0.052632

0

0.131579

0

null

0

1

0

1

0

1

0

null

0

10

f21859930edf572efb03c6c04c67ad0022a1e9f6

9,346

py

Python

src/styles.py

arthurBricq/Roots

a422a01a2f451f4e47603bfbdf43e40a34d441a2

[ "Apache-2.0" ]

null

src/styles.py

arthurBricq/Roots

a422a01a2f451f4e47603bfbdf43e40a34d441a2

[ "Apache-2.0" ]

null

src/styles.py

arthurBricq/Roots

a422a01a2f451f4e47603bfbdf43e40a34d441a2

[ "Apache-2.0" ]

null

labelClassification = """ border-style: none; font-weight: bold; font-size: 40px; color: white; """ mainWindowFrame = """ border: 2px solid rgb(40, 40, 40); border-radius: 4px; background-color: rgb(70,70,73); background: qlineargradient(x1: 0, y1: 0, x2: 0, y...

33.740072

78

0.372994

917

9,346

3.796074

0.089422

0.060327

0.162884

0.168917

0.84717

0.809537

0.794025

0.767308

0.732835

0

0.174008

0.51177

9,346

276

79

33.862319

0.588867

0

0.729614

0

0.94796

0.002536

0

1

0

false

0

null

0

1

0

1

0

1

0

1

0

null

0

10

f218761745689b7a14ddf565b2107df04ffa02aa

3,381

py

Python

Python/zzz_training_challenge/Python_Challenge/solutions/ch05_datastructures/solutions/ex06_longest_subsequence.py

Kreijeck/learning

eaffee08e61f2a34e01eb8f9f04519aac633f48c

[ "MIT" ]

null

Python/zzz_training_challenge/Python_Challenge/solutions/ch05_datastructures/solutions/ex06_longest_subsequence.py

Kreijeck/learning

eaffee08e61f2a34e01eb8f9f04519aac633f48c

[ "MIT" ]

null

Python/zzz_training_challenge/Python_Challenge/solutions/ch05_datastructures/solutions/ex06_longest_subsequence.py

Kreijeck/learning

eaffee08e61f2a34e01eb8f9f04519aac633f48c

[ "MIT" ]

null

# Beispielprogramm für das Buch "Python Challenge" # # Copyright 2020 by Michael Inden import sys def find_longest_growing_sequence(values): longest_subsequence = [] current_subsequence = [] last_value = sys.maxsize for current_value in values: if current_value >= last_value: l...

34.5

110

0.644188

468

3,381

4.382479

0.132479

0.020478

0.131643

0.190151

0.863481

0.844954

0.832765

0.825939

0.798147

0

0.059922

0.23987

3,381

97

111

34.85567

0.738132

0.141083

0

0.491803

0

0.002774

0

1

0.065574

false

0

0.016393

0

0.147541

0.196721

0

null

0

1

0

null

0

7

480303cd4dd4748afa4d4209efb0f4c189ca6434

2,291

py

Python

ufba/modulos_e_excecoes/ordenaarquivo.py

rafaelsqueiroz/learning_phase

6a04da40ba50e24a9ab79f940c8e4820ad34c07d

[ "MIT" ]

null

ufba/modulos_e_excecoes/ordenaarquivo.py

rafaelsqueiroz/learning_phase

6a04da40ba50e24a9ab79f940c8e4820ad34c07d

[ "MIT" ]

1

2019-10-31T19:51:27.000Z

ufba/modulos_e_excecoes/ordenaarquivo.py

rafaelsqueiroz/learning_phase

6a04da40ba50e24a9ab79f940c8e4820ad34c07d

[ "MIT" ]

1

2019-10-23T18:00:16.000Z

# -*- coding: utf-8 -*- """ Created on Wed May 12 18:49:33 2021 @author: Rafael Queiroz """ import pandas as pd import minhaordenacao def OrdenaColunaStd(file, col): ''' Função que lê um arquivo no formato .txt com um número indeterminado de linhas e 3 colunas, e retorna uma coluna - selecionada pelo u...

41.654545

174

0.657355

296

2,291

5.077703

0.381757

0.023952

0.055888

0.074518

0.846307

0

0.014837

0.264513

2,291

55

175

41.654545

0.877151

0.364906

0

0.823529

0

0.316312

0

0.036364

0

1

0.058824

false

0

0.058824

0

0.294118

0.235294

0

null

0

1

0

1

0

null

0

1

0

8

482c6ffff87e0732075928137efa5f6e72b50406

44

py

Python

app/helpers/__init__.py

josephmancuso/gbaleague-masonite2

b3dd5ec3f20c07eaabcc3129b0c50379a946a82b

[ "MIT" ]

null

app/helpers/__init__.py

josephmancuso/gbaleague-masonite2

b3dd5ec3f20c07eaabcc3129b0c50379a946a82b

[ "MIT" ]

3

2018-07-25T17:36:43.000Z

2020-01-06T18:52:51.000Z

app/helpers/__init__.py

josephmancuso/gbaleague-masonite2

b3dd5ec3f20c07eaabcc3129b0c50379a946a82b

[ "MIT" ]

null

from .generate_string import generate_string

44

0.909091

6

44

6.333333

0.666667

0.736842

0

0.068182

44

1

44

0.926829

0

1

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

483db4ae3f6418723a1251be2236fa2d154f49eb

58,547

py

Python

sdk/resources/azure-mgmt-resource/azure/mgmt/resource/locks/v2016_09_01/operations/_management_locks_operations.py

vbarbaresi/azure-sdk-for-python

397ba46c51d001ff89c66b170f5576cf8f49c05f

[ "MIT" ]

8

2021-01-13T23:44:08.000Z

2021-03-17T10:13:36.000Z

sdk/resources/azure-mgmt-resource/azure/mgmt/resource/locks/v2016_09_01/operations/_management_locks_operations.py

vbarbaresi/azure-sdk-for-python

397ba46c51d001ff89c66b170f5576cf8f49c05f

[ "MIT" ]

2

2021-11-03T06:10:36.000Z

2021-12-01T06:29:39.000Z

sdk/resources/azure-mgmt-resource/azure/mgmt/resource/locks/v2016_09_01/operations/_management_locks_operations.py

vbarbaresi/azure-sdk-for-python

397ba46c51d001ff89c66b170f5576cf8f49c05f

[ "MIT" ]

1

2021-05-19T02:55:10.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...

49.912191

283

0.661793

6,416

58,547

5.828709

0.043797

0.032329

0.022248

0.014974

0.957296

0.956948

0.953285

0.951119

0.946145

0.941653

0

0.012006

0.234615

58,547

1,172

284

49.954778

0.822544

0.299879

0

0.849195

0

0.005857

0.144688

0.062982

0

1

0.04246

false

0

0.013177

0

0.111274

0

null

0

1

0

1

0

null

0

7

6f88c5f4478384463973619a060b2f375ff7e5f3

46

py

Python

nbdler/rpc.py

ZSAIm/downloader

b7cda1fc26fc65be3aa0ee7e31effc67b770babd

[ "Apache-2.0" ]

33

2019-04-12T15:20:16.000Z

2021-07-14T08:29:53.000Z

nbdler/rpc.py

zackmark29/Nbdler

b7cda1fc26fc65be3aa0ee7e31effc67b770babd

[ "Apache-2.0" ]

3

2019-05-13T11:39:08.000Z

2021-08-04T04:53:36.000Z

nbdler/rpc.py

zackmark29/Nbdler

b7cda1fc26fc65be3aa0ee7e31effc67b770babd

[ "Apache-2.0" ]

10

2019-05-07T06:35:32.000Z

2021-06-08T18:53:56.000Z

# TODO: DownloadRPCClient, DownloadRPCServer

15.333333

44

0.826087

3

46

12.666667

1

0

0.108696

46

2

45

23

0.926829

0.913043

0

null

0

null

0

null

0

0.5

null

1

null

true

0

null

1

null

0

1

0

1

0

null

0

1

0

1

0

7

6fcdcb1284a7f2197e45f2cd1b42b91bd5de8950

83

py

Python

release/scripts/presets/framerate/24.py

rbabari/blender

6daa85f14b2974abfc3d0f654c5547f487bb3b74

[ "Naumen", "Condor-1.1", "MS-PL" ]

365

2015-02-10T15:10:55.000Z

2022-03-03T15:50:51.000Z

release/scripts/presets/framerate/24.py

rbabari/blender

6daa85f14b2974abfc3d0f654c5547f487bb3b74

[ "Naumen", "Condor-1.1", "MS-PL" ]

45

2015-01-09T15:34:20.000Z

2021-10-05T14:44:23.000Z

release/scripts/presets/framerate/24.py

rbabari/blender

6daa85f14b2974abfc3d0f654c5547f487bb3b74

[ "Naumen", "Condor-1.1", "MS-PL" ]

172

2015-01-25T15:16:53.000Z

2022-01-31T08:25:36.000Z

import bpy bpy.context.scene.render.fps = 24 bpy.context.scene.render.fps_base = 1

20.75

37

0.783133

15

83

4.266667

0.6

0.3125

0.46875

0.65625

0.75

0

0.04

0.096386

83

3

38

27.666667

0.813333

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

d22b6b429a7e4d6f4a017163a82d7846a7650785

5,787

py

Python

misago/misago/categories/tests/test_prunecategories.py

vascoalramos/misago-deployment

20226072138403108046c0afad9d99eb4163cedc

[ "MIT" ]

2

2021-03-06T21:06:13.000Z

2021-03-09T15:05:12.000Z

misago/misago/categories/tests/test_prunecategories.py

vascoalramos/misago-deployment

20226072138403108046c0afad9d99eb4163cedc

[ "MIT" ]

null

misago/misago/categories/tests/test_prunecategories.py

vascoalramos/misago-deployment

20226072138403108046c0afad9d99eb4163cedc

[ "MIT" ]

null

from datetime import timedelta from io import StringIO from django.core.management import call_command from django.test import TestCase from django.utils import timezone from ...threads import test from ..management.commands import prunecategories from ..models import Category class PruneCategoriesTests(TestCase): ...

33.068571

77

0.651979

667

5,787

5.517241

0.131934

0.097826

0.1

0.026087

0.927717

0.910054

0.902446

0.88288

0

0.02038

0.253845

5,787

174

78

33.258621

0.831867

0.101953

0

0.867257

0

0.022459

0

0.212389

1

0.035398

false

0

0.070796

0

0.115044

0

null

0

1

0

1

0

null

0

7

967f0bd43b247e39dd8733933d76616c24eed4a4

160

py

Python

budgetsimplifier/budget/views_api.py

yohanswanepoel/budget_simplifier

cae41e5b98675bc19ab75bcb5b868c74da428bfc

[ "MIT" ]

null

budgetsimplifier/budget/views_api.py

yohanswanepoel/budget_simplifier

cae41e5b98675bc19ab75bcb5b868c74da428bfc

[ "MIT" ]

5

2021-03-19T00:52:42.000Z

2022-03-11T23:47:38.000Z

budgetsimplifier/budget/views_api.py

yohanswanepoel/budget_simplifier

cae41e5b98675bc19ab75bcb5b868c74da428bfc

[ "MIT" ]

null

from django.http import JsonResponse from .services import refresh_budgets def get_budgets(request,user_id): return JsonResponse(refresh_budgets(user_id))

26.666667

49

0.83125

22

160

5.818182

0.636364

0.21875

0

0.10625

160

5

50

32

0.895105

0

1

0.25

false

0

0.5

0.25

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

73740751940304432f7974ad1c5c9a8d6959ced7

84,563

py

Python

tccli/services/apigateway/apigateway_client.py

ws0416/tencentcloud-cli-intl-en

903a24dccc718a395d5ebe273c300787c1d2cf67

[ "Apache-2.0" ]

null

tccli/services/apigateway/apigateway_client.py

ws0416/tencentcloud-cli-intl-en

903a24dccc718a395d5ebe273c300787c1d2cf67

[ "Apache-2.0" ]

null

tccli/services/apigateway/apigateway_client.py

ws0416/tencentcloud-cli-intl-en

903a24dccc718a395d5ebe273c300787c1d2cf67

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import json import tccli.options_define as OptionsDefine import tccli.format_output as FormatOutput from tccli import __version__ from tccli.utils import Utils from tccli.exceptions import ConfigurationError from tencentcloud.common import credential from tencentcloud.common.profile.ht...

43.883238

105

0.730296

9,529

84,563

6.239689

0.033372

0.080527

0.230717

0.058159

0.857765

0.854553

0.853342

0.852131

0.85055

0.802365

0

0.008372

0.162376

84,563

1,926

106

43.906023

0.831051

0.007935

0

0.728714

0

0.040549

0.006323

0

1

0.039342

false

0.002349

0.007046

0.000587

0.047563

0

null

0

1

0

1

0

1

0

null

0

8

73a74813e07e47bc916d5283fd9f9c212b96ced1

148

py

Python

examples/docs_snippets_crag/docs_snippets_crag_tests/concepts_tests/io_management_tests/test_load_from_config.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

null

examples/docs_snippets_crag/docs_snippets_crag_tests/concepts_tests/io_management_tests/test_load_from_config.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

null

examples/docs_snippets_crag/docs_snippets_crag_tests/concepts_tests/io_management_tests/test_load_from_config.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

1

2021-11-30T21:40:46.000Z

from docs_snippets_crag.concepts.io_management.load_from_config import execute_with_config def test_execute_pipeline(): execute_with_config()

24.666667

90

0.858108

21

148

5.52381

0.714286

0.189655

0.293103

0

0.087838

148

5

91

29.6

0.859259

0

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

73e8e06f1d5585ca9b33912fd1793a4a0dcdbb2f

60

py

Python

water_modelling/kubernetes_controller/__init__.py

Water-Modelling-Agh/Hydrus-Modflow-Syngery-Engine

4b28f75fb74647d6453385a893149a48f797eeed

[ "MIT" ]

null

water_modelling/kubernetes_controller/__init__.py

Water-Modelling-Agh/Hydrus-Modflow-Syngery-Engine

4b28f75fb74647d6453385a893149a48f797eeed

[ "MIT" ]

null

water_modelling/kubernetes_controller/__init__.py

Water-Modelling-Agh/Hydrus-Modflow-Syngery-Engine

4b28f75fb74647d6453385a893149a48f797eeed

[ "MIT" ]

null

def config(): return None def watch(): return None

10

15

0.616667

8

60

4.625

0.625

0.540541

0

0.283333

60

6

16

10

0.860465

0

0.5

0

1

0.5

true

0

0.5

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

73f109f57082ba51aff8ebe7b10ef3894f33bc46

166

py

Python

autolens/pipeline/phase/dataset/__init__.py

harshitjindal/PyAutoLens

f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035

[ "MIT" ]

1

2020-04-06T20:07:56.000Z

autolens/pipeline/phase/dataset/__init__.py

harshitjindal/PyAutoLens

f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035

[ "MIT" ]

null

autolens/pipeline/phase/dataset/__init__.py

harshitjindal/PyAutoLens

f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035

[ "MIT" ]

null

from autolens.pipeline.phase.dataset.meta_dataset_fit import MetaDatasetFit from autolens.pipeline.phase.dataset.result import Result from .phase import PhaseDataset

41.5

75

0.873494

22

166

6.5

0.5

0.167832

0.27972

0.34965

0.447552

0

0.072289

166

3

76

55.333333

0.928571

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

f7bd0a6af046218147bae10866dcab6b7097bbd8

3,379

py

Python

accelbyte_py_sdk/api/matchmaking/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

null

accelbyte_py_sdk/api/matchmaking/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

1

2021-10-13T03:46:58.000Z

accelbyte_py_sdk/api/matchmaking/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

null

# Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template file: justice_py_sdk_codegen/__main__.py """Auto-generated package that contains models used b...

42.2375

90

0.878366

480

3,379

5.766667

0.208333

0.251445

0.377168

0.21604

0.83237

0.78396

0.438223

0.255419

0.096821

0

0.003906

0.090855

3,379

79

91

42.772152

0.897135

0.124889

0

1

0

0.010877

0

1

0

false

0

0.95082

0

0.95082

0

null

1

0

1

0

null

0

1

0

1

0

8

f7dfa4e6dd4ab7417757336f015ef06fe990338f

257

py

Python

gym_virtual_quant_trading/data/__init__.py

majercakdavid/gym-virtual-quant-trading

90b16b5d37005f941edc1e23bb140868aba895c2

[ "MIT" ]

1

2021-02-02T16:29:34.000Z

gym_virtual_quant_trading/data/__init__.py

majercakdavid/gym-virtual-quant-trading

90b16b5d37005f941edc1e23bb140868aba895c2

[ "MIT" ]

null

gym_virtual_quant_trading/data/__init__.py

majercakdavid/gym-virtual-quant-trading

90b16b5d37005f941edc1e23bb140868aba895c2

[ "MIT" ]

1

2021-11-28T15:09:26.000Z

from gym_virtual_quant_trading.data.BaseMarketDataSource import BaseMarketDataSource, BaseMarketData, BaseMarketSymbolData from gym_virtual_quant_trading.data.DefaultMarketDataSource import DefaultMarketDataSource, DefaultMarketData, DefaultMarketSymbolData

128.5

134

0.92607

22

257

10.545455

0.590909

0.060345

0.12069

0.163793

0.258621

0

0.042802

257

2

134

128.5

0.943089

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

793dd51b07f5ca8f82783ba373fdb0f25ca91a48

14,038

py

Python

src/python/tests/core/google_cloud_utils/gsutil_test.py

avineshwar/clusterfuzz

cd72fc66fb5cd4013196662c3564339a940e1c41

[ "Apache-2.0" ]

null

src/python/tests/core/google_cloud_utils/gsutil_test.py

avineshwar/clusterfuzz

cd72fc66fb5cd4013196662c3564339a940e1c41

[ "Apache-2.0" ]

null

src/python/tests/core/google_cloud_utils/gsutil_test.py

avineshwar/clusterfuzz

cd72fc66fb5cd4013196662c3564339a940e1c41

[ "Apache-2.0" ]

1

2020-04-25T16:37:10.000Z

# Copyright 2019 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 agreed to in writing, ...

32.12357

79

0.613834

1,728

14,038

4.640046

0.086806

0.100274

0.089798

0.106635

0.903342

0.890621

0.879147

0.8779

0.870915

0.855201

0

0.015371

0.249252

14,038

436

80

32.197248

0.745422

0.0686

0

0.763441

0

0.274842

0.211018

0

0.083333

1

0.061828

false

0

0.016129

0

0.080645

0

null

0

1

0

1

0

null

0

7