xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

148ab088832163146ba115098ef43d81aed9229b

22

py

Python

tests/pokeapi.py

JuntaoZhong/pokemon-database-webapp

a29d70a0107cd29a6dc456aba40f6f0152d3bb00

[ "MIT" ]

null

tests/pokeapi.py

JuntaoZhong/pokemon-database-webapp

a29d70a0107cd29a6dc456aba40f6f0152d3bb00

[ "MIT" ]

23

2021-03-04T01:27:35.000Z

2021-03-15T21:56:44.000Z

webapp/tests/pokeapi.py

rossgk2/cs257

1031d731c8712bcb300fefc79cce534c9650470c

[ "MIT" ]

null

class pokeapi(): pass

11

16

0.727273

3

22

5.333333

1

0

0.136364

22

2

17

11

0.842105

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

14bee1a86653d9655048ae339535bdac544f8fdb

807

py

Python

Python WebSite/customerManager.py

Brktrlw/E-Trade-System-With-Python-Flask

0e6568083c07abe8bf3f6df4eb0fecb700ea8862

[ "MIT" ]

1

2021-10-04T16:39:01.000Z

Python WebSite/customerManager.py

Brktrlw/E-Trade-System-With-Python-Flask

0e6568083c07abe8bf3f6df4eb0fecb700ea8862

[ "MIT" ]

null

Python WebSite/customerManager.py

Brktrlw/E-Trade-System-With-Python-Flask

0e6568083c07abe8bf3f6df4eb0fecb700ea8862

[ "MIT" ]

null

from passlib.hash import sha256_crypt from baseDatabaseManager import BaseDatabaseManager class CustomerManager(): @staticmethod def addCustomer(customerName,customerUserName,customerMail,customerPassword): BaseDatabaseManager.databaseType.addCustomer(customerName,customerUserName,customerMail,sha256_crypt.encrypt(customerPassword)) @staticmethod def updateCustomer(customerName,customerUserName,customerMail,customerPassword): # Veritabanından müşteri güncellediğimiz method BaseDatabaseManager.databaseType.updateCustomer(customerName,customerUserName,customerMail,customerPassword) @staticmethod def getCustomerData(customerId): customerData=BaseDatabaseManager.databaseType.getCustomerData(customerId) return customerData

21.810811

135

0.810409

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807

11.241379

0.465517

0.171779

0.245399

0.257669

0.214724

0

0.008584

0.133829

807

36

136

22.416667

0.924177

0.055762

0

0.230769

0

1

0.230769

false

0.384615

0.153846

0

0.538462

0

1

null

0

1

0

null

0

1

0

1

0

5

1ad5435c563684ec168f7c937c09885002ca37a8

40

py

Python

tiankafei-code-python/demo/package1/ModuleB.py

tiankafei/java

9ff39cb47b8f2144851856b4412b1b0b7781cb09

[ "Apache-2.0" ]

1

2021-08-23T03:10:33.000Z

tiankafei-code-python/demo/package1/ModuleB.py

tiankafei/java

9ff39cb47b8f2144851856b4412b1b0b7781cb09

[ "Apache-2.0" ]

8

2020-09-02T15:14:03.000Z

2021-01-08T00:34:26.000Z

tiankafei-code-python/demo/package1/ModuleB.py

tiankafei/java

9ff39cb47b8f2144851856b4412b1b0b7781cb09

[ "Apache-2.0" ]

2

2020-11-25T07:58:22.000Z

2021-01-28T00:15:11.000Z

# 作者：甜咖啡 # 新建时间：2021/4/6 20:29 a = 100

8

21

0.575

10

40

2.3

1

0

0.419355

0.225

40

4

22

10

0.322581

0.65

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

1adcddbf8ce0e8420e19693da504fd06b6dd6d90

31

py

Python

bin/Python27/Lib/site-packages/smop/version.py

lefevre-fraser/openmeta-mms

08f3115e76498df1f8d70641d71f5c52cab4ce5f

[ "MIT" ]

null

bin/Python27/Lib/site-packages/smop/version.py

lefevre-fraser/openmeta-mms

08f3115e76498df1f8d70641d71f5c52cab4ce5f

[ "MIT" ]

null

bin/Python27/Lib/site-packages/smop/version.py

lefevre-fraser/openmeta-mms

08f3115e76498df1f8d70641d71f5c52cab4ce5f

[ "MIT" ]

null

__version__ = '0.23+g59c3fa4'

15.5

30

0.709677

4

31

4.5

1

0

0.259259

0.129032

31

1

31

0.407407

0

0.433333

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

2113ab1eec68369c5c73f72b85a627ba9fc14d80

166

py

Python

app.py

jayrav13/presidency

f18721d5df9af161cc01f503b6657d9b06fea0e9

[ "MIT" ]

14

2016-11-05T03:43:26.000Z

2021-03-25T14:55:19.000Z

app.py

jayrav13/presidency

f18721d5df9af161cc01f503b6657d9b06fea0e9

[ "MIT" ]

5

2017-01-30T21:39:34.000Z

2021-06-10T19:30:57.000Z

app.py

jayrav13/presidency

f18721d5df9af161cc01f503b6657d9b06fea0e9

[ "MIT" ]

2

2016-11-22T08:36:07.000Z

2017-01-28T16:36:29.000Z

#!venv/bin/python from presidency import app import os if __name__ == '__main__': app.run(debug=True, host=os.environ.get('HOST'), port=int(os.environ.get('PORT')))

27.666667

83

0.722892

27

166

4.148148

0.703704

0.160714

0.214286

0

0.090361

166

6

83

27.666667

0.741722

0.096386

0

0.106667

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1

0

true

0

0.5

0

0.5

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1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

2123b0ed1119577ae24207fa71c88c656be9b032

325

py

Python

examples/boilerplate/eventHandler/events.py

Sakuk3/DefCurse

22c7de689c2d4ec859ca70ecbe0d014034adfadc

[ "MIT" ]

null

examples/boilerplate/eventHandler/events.py

Sakuk3/DefCurse

22c7de689c2d4ec859ca70ecbe0d014034adfadc

[ "MIT" ]

null

examples/boilerplate/eventHandler/events.py

Sakuk3/DefCurse

22c7de689c2d4ec859ca70ecbe0d014034adfadc

[ "MIT" ]

null

from dataclasses import replace import models def _quit(model: models.Model, event: str): return replace(model, exit=True) def _switch_modes(model: models.Model, event: str): return replace(model, mode=int(not bool(model.mode))) def _default(model: models.Model, event: str): return model

19.117647

57

0.692308

44

325

5.022727

0.454545

0.149321

0.217195

0.285068

0.515837

0.380091

0

0.203077

325

16

58

20.3125

0.853282

0

1

0.375

false

0

0.25

0.375

1

0

null

0

1

0

null

0

1

0

1

0

5

2127192f19ddf7f9c37e3f02a67326aa07e1e5cc

183

py

Python

GANs/ops/__init__.py

devzhk/Implicit-Competitive-Regularization

71bda29f2db18d1d7ae9860e4a761ff61cbec756

[ "Apache-2.0" ]

107

2019-10-15T15:55:20.000Z

2021-12-27T02:02:50.000Z

GANs/ops/__init__.py

AzR919/Implicit-Competitive-Regularization

d69b66b1843cf72d94a1b0957aa30eb34e46af53

[ "Apache-2.0" ]

11

2019-10-16T09:41:23.000Z

2020-12-16T08:44:38.000Z

GANs/ops/__init__.py

AzR919/Implicit-Competitive-Regularization

d69b66b1843cf72d94a1b0957aa30eb34e46af53

[ "Apache-2.0" ]

26

2019-10-15T03:38:41.000Z

2021-03-25T11:52:08.000Z

# This package is adapted from https://github.com/rosinality/stylegan2-pytorch/tree/master/op from .fused_act import FusedLeakyReLU, fused_leaky_relu from .upfirdn2d import upfirdn2d

45.75

93

0.836066

26

183

5.769231

0.807692

0

0.017964

0.087432

183

3

94

61

0.88024

0.497268

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

21306fac462b2b17859601fa6cc9877642f9e766

89

py

Python

zerohc/__init__.py

David-Lor/ZeroHealthCheck

a0af07a647edfa223bd64d1ab36ad7a8345413f7

[ "ISC" ]

1

2020-12-10T03:36:22.000Z

zerohc/__init__.py

David-Lor/ZeroHealthCheck

a0af07a647edfa223bd64d1ab36ad7a8345413f7

[ "ISC" ]

null

zerohc/__init__.py

David-Lor/ZeroHealthCheck

a0af07a647edfa223bd64d1ab36ad7a8345413f7

[ "ISC" ]

null

from .hearth import Hearth from .stethoscope import Stethoscope from .cli import run_cli

22.25

36

0.831461

13

89

5.615385

0.461538

0

0.134831

89

3

37

29.666667

0.948052

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dcc5ed44131ee3507a23a0479cf64530bffbe687

101

py

Python

commandfrog/config.py

amagee/commandfrog

3136c4447ca8a96fdbbfb837d61d42d63b5e19dc

[ "MIT" ]

null

commandfrog/config.py

amagee/commandfrog

3136c4447ca8a96fdbbfb837d61d42d63b5e19dc

[ "MIT" ]

null

commandfrog/config.py

amagee/commandfrog

3136c4447ca8a96fdbbfb837d61d42d63b5e19dc

[ "MIT" ]

null

from dataclasses import dataclass @dataclass class Config: ask_for_sudo_password: bool = False

14.428571

39

0.792079

13

101

5.923077

0.923077

0

0.168317

101

6

40

16.833333

0.916667

0

1

0

true

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

dce12b4144fbaa5e3f70cee6a71e9fb393f9d576

124

py

Python

hooks/hook-en_core_web_sm.py

gbmarc1/ExploranceAnonymizer

ff3616ef929269b5c8420266b3c32225cfa4b4a3

[ "MIT" ]

null

hooks/hook-en_core_web_sm.py

gbmarc1/ExploranceAnonymizer

ff3616ef929269b5c8420266b3c32225cfa4b4a3

[ "MIT" ]

null

hooks/hook-en_core_web_sm.py

gbmarc1/ExploranceAnonymizer

ff3616ef929269b5c8420266b3c32225cfa4b4a3

[ "MIT" ]

null

from PyInstaller.utils.hooks import collect_data_files datas = collect_data_files("en_core_web_sm", include_py_files=True)

31

67

0.854839

20

124

4.85

0.8

0.226804

0.329897

0

0.072581

124

3

68

41.333333

0.843478

0

0.112903

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

0d1a03b4cbfcfe8af478bebd0c96549539281465

98

py

Python

telegram/chat/singleton_bot.py

StepanBarantsev/course_management

627d003d8ed63a5cc64485a191c4b98e91796a45

[ "Apache-2.0" ]

null

telegram/chat/singleton_bot.py

StepanBarantsev/course_management

627d003d8ed63a5cc64485a191c4b98e91796a45

[ "Apache-2.0" ]

null

telegram/chat/singleton_bot.py

StepanBarantsev/course_management

627d003d8ed63a5cc64485a191c4b98e91796a45

[ "Apache-2.0" ]

null

import telebot import telegram.config bot = telebot.TeleBot(telegram.config.ConfigTelegram.TOKEN)

24.5

59

0.846939

12

98

6.916667

0.583333

0.337349

0

0.071429

98

4

59

24.5

0.912088

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

370ac9a36047c293bc4c8214f22444793fb1c935

23

py

Python

test.py

langkelwb/learn-python

015cb6c61fa1ec9acc7b74efbdeb9c2b5d19fefb

[ "MIT" ]

null

test.py

langkelwb/learn-python

015cb6c61fa1ec9acc7b74efbdeb9c2b5d19fefb

[ "MIT" ]

null

test.py

langkelwb/learn-python

015cb6c61fa1ec9acc7b74efbdeb9c2b5d19fefb

[ "MIT" ]

null

print('test 第一个python')

23

0.782609

3

23

6

1

0

0.043478

23

1

23

0.818182

0

0.583333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2ec5d4bdf150b2745e457f4f5922e2668c5a505c

93

py

Python

klass/admin.py

joseph0919/Student_Management_Django

085e839a86ac574f5ebe83a4911c5808841f50cd

[ "MIT" ]

null

klass/admin.py

joseph0919/Student_Management_Django

085e839a86ac574f5ebe83a4911c5808841f50cd

[ "MIT" ]

null

klass/admin.py

joseph0919/Student_Management_Django

085e839a86ac574f5ebe83a4911c5808841f50cd

[ "MIT" ]

null

from django.contrib import admin from klass.models import Klass admin.site.register(Klass)

15.5

32

0.817204

14

93

5.428571

0.642857

0

0.11828

93

5

33

18.6

0.926829

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2eda4c3759d12569a05c1eac92646880d179dd82

73

py

Python

tests/module_fake_http_and_cli.py

pnijhara/hug

95e2f66baa57494b8751b43ad3da6c2d0e2d535d

[ "MIT" ]

6,045

2015-08-12T11:11:39.000Z

2019-04-07T16:42:28.000Z

tests/module_fake_http_and_cli.py

Warlockk/hug

95e2f66baa57494b8751b43ad3da6c2d0e2d535d

[ "MIT" ]

623

2015-08-12T16:08:45.000Z

2019-04-07T23:07:47.000Z

tests/module_fake_http_and_cli.py

Warlockk/hug

95e2f66baa57494b8751b43ad3da6c2d0e2d535d

[ "MIT" ]

426

2015-08-13T04:23:01.000Z

2019-04-07T20:46:41.000Z

import hug @hug.get() @hug.cli() def made_up_go(): return "Going!"

9.125

19

0.616438

12

73

3.583333

0.833333

0

0.191781

73

7

20

10.428571

0.728814

0

0.082192

0

1

0.2

true

0

0.2

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2eddcaf2fca464a3b81026b801e515b1dcc7cf33

60

py

Python

mygym/tictactoe/envs/__init__.py

wakamori/mygym

04784410820054c989bfff5c3b57595a42dd38ac

[ "MIT" ]

null

mygym/tictactoe/envs/__init__.py

wakamori/mygym

04784410820054c989bfff5c3b57595a42dd38ac

[ "MIT" ]

null

mygym/tictactoe/envs/__init__.py

wakamori/mygym

04784410820054c989bfff5c3b57595a42dd38ac

[ "MIT" ]

null

from mygym.tictactoe.envs.tictactoe_env import TicTacToeEnv

30

59

0.883333

8

60

6.5

0.875

0

0.066667

60

1

60

0.928571

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2c0102522897bee01e5cd739a3786444e70c5630

762

py

Python

src/main.py

arthurflor/signatures

e6ae5e5996df438e533420d80eda288d849db28c

[ "MIT" ]

null

src/main.py

arthurflor/signatures

e6ae5e5996df438e533420d80eda288d849db28c

[ "MIT" ]

null

src/main.py

arthurflor/signatures

e6ae5e5996df438e533420d80eda288d849db28c

[ "MIT" ]

1

2020-09-05T19:10:26.000Z

import classifier.decision_tree as decision_tree import util.data as data def main(): data.DATASET = "characters" # data.DATASET = "signatures" repeat, save = 30, True # features, labels = data.loadDataset(data.DATASET, "mi_hu") # decision_tree.random_forest(features, labels, repeat, save) # decision_tree.cart(features, labels, repeat, save) # decision_tree.c45(features, labels, repeat, save) # del features, labels features, labels = data.loadDataset(data.DATASET, "cnn") decision_tree.random_forest(features, labels, repeat, save) # decision_tree.cart(features, labels, repeat, save) # decision_tree.c45(features, labels, repeat, save) # del features, labels if __name__ == '__main__': main()

33.130435

65

0.7021

93

762

5.548387

0.311828

0.271318

0.232558

0.27907

0.713178

0.55814

0

0.009631

0.182415

762

23

66

33.130435

0.81862

0.511811

0

0.057851

0

1

0.111111

true

0

0.222222

0

0.333333

0

null

1

0

1

0

null

0

1

0

5

2580048651c15234f27c4966de5811ad9804364d

91

py

Python

CodetagCrawler/__init__.py

jonoddram/CodetagCrawler

6b6eaed738aef91fead3d2aaf3ab96e1cecd0cdf

[ "MIT" ]

null

CodetagCrawler/__init__.py

jonoddram/CodetagCrawler

6b6eaed738aef91fead3d2aaf3ab96e1cecd0cdf

[ "MIT" ]

null

CodetagCrawler/__init__.py

jonoddram/CodetagCrawler

6b6eaed738aef91fead3d2aaf3ab96e1cecd0cdf

[ "MIT" ]

null

from .cli import process from .comment_processing import * from .metadata_handler import *

22.75

33

0.813187

12

91

6

0.666667

0

0.131868

91

3

34

30.333333

0.911392

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

25828a0f8383bfd925e34eb1f8ee098f12550e42

133

py

Python

src/accounts/models.py

gvrossom/ants

b361c44b03dd9a4f9ed17aaff63fcf37b4f41c72

[ "MIT" ]

null

src/accounts/models.py

gvrossom/ants

b361c44b03dd9a4f9ed17aaff63fcf37b4f41c72

[ "MIT" ]

null

src/accounts/models.py

gvrossom/ants

b361c44b03dd9a4f9ed17aaff63fcf37b4f41c72

[ "MIT" ]

null

from django.db import models # Check lib models here: https://github.com/fusionbox/django-authtools/blob/master/authtools/models.py

33.25

102

0.804511

20

133

5.35

0.8

0

0.082707

133

3

103

44.333333

0.877049

0.75188

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

258a746776a43df6a1438fa919ce1caa9b95d4fb

7,898

py

Python

tests/test_diagrams.py

athrn/kognitivo

15822338778213c09ea654ec4e06a300129f9478

[ "Apache-2.0" ]

80

2017-11-13T21:58:55.000Z

2022-01-03T20:10:42.000Z

tests/test_diagrams.py

athrn/kognitivo

15822338778213c09ea654ec4e06a300129f9478

[ "Apache-2.0" ]

null

tests/test_diagrams.py

athrn/kognitivo

15822338778213c09ea654ec4e06a300129f9478

[ "Apache-2.0" ]

21

2017-11-14T09:47:41.000Z

2021-11-23T06:44:31.000Z

from tests import control, assertions def test_diagram_labels(): from screens.activity.diagrams.base import DiagramLabelsContainer labels_container = DiagramLabelsContainer() assert not labels_container.children labels_container.values = [1, 2] assert len(labels_container.children), 2 assert labels_container.children[1].text == "1" def test_diagram_labels_empty(): from screens.activity.diagrams.base import DiagramLabelsContainer labels_container = DiagramLabelsContainer() assert not labels_container.children labels_container.values = [] assert not labels_container.children def test_diagram_elements_zero_data(): from screens.activity.diagrams.base import DiagramElementsContainer elements_container = DiagramElementsContainer() elements_container.values = [0, 0, 0] assert elements_container.normal_level_line.points == [] def test_diagram_elements_container(): from screens.activity.diagrams.base import DiagramElementsContainer elements_container = DiagramElementsContainer() assert elements_container.fill_color is None assert elements_container.normal_level_line is None assert elements_container.normal_level_label is None assert elements_container.half_level_line is None assert elements_container.half_level_label is None elements_container.values = [1, 2] assert elements_container.fill_color is not None assert elements_container.normal_level_line is not None assert elements_container.normal_level_label is not None assert elements_container.half_level_line is not None assert elements_container.half_level_label is not None elements_container.color = (1, 1, 0) def test_diagram_elements_container_empty(): from screens.activity.diagrams.base import DiagramElementsContainer elements_container = DiagramElementsContainer() elements_container.values = [] assert elements_container.fill_color is None assert elements_container.normal_level_line is None assert elements_container.normal_level_label is None assert elements_container.half_level_line is None assert elements_container.half_level_label is None def test_diagram_elements_container_placement_inside(): from screens.activity.diagrams.base import DiagramElementsContainer elements_container = DiagramElementsContainer() elements_container.values = [1, 2, 3, 4] assert elements_container.normal_level_line.points[1] == elements_container.height * .25 assert elements_container.half_level_line.points[1] == elements_container.height * .125 assert elements_container.normal_level_label.y == elements_container.height * .25 assert elements_container.half_level_label.y == elements_container.height * .125 def test_diagram_elements_container_placement_under_100(running_app): from screens.activity.diagrams.base import DiagramElementsContainer elements_container = DiagramElementsContainer() elements_container.values = [0.1, 0.2, 0.3, 0.4] assert elements_container.normal_level_line.points[1] == running_app.root_window.height assert elements_container.half_level_line.points[1] == running_app.root_window.height assert elements_container.normal_level_label.y == running_app.root_window.height assert elements_container.half_level_label.y == running_app.root_window.height def test_bar_diagram_elements_container(): from screens.activity.diagrams.base import BarDiagramElementsContainer bar_container = BarDiagramElementsContainer() assert bar_container.bars is None bar_container.values = [1, 2, 3, 4] assert len(bar_container.bars) == 4 # max bar + ellipse half size has the whole height of container assert bar_container.bars[3][0].size[1] / 2 + bar_container.bars[3][1].size[1] == bar_container.height def test_bar_diagram_elements_zero_negative_data(): from screens.activity.diagrams.base import BarDiagramElementsContainer bar_container = BarDiagramElementsContainer() assert bar_container.bars is None bar_container.values = [-1, 0, 0, 4] assert bar_container.bars[0][0].size == (0, 0) assert bar_container.bars[0][1].size == (0, 0) assert bar_container.bars[1][0].size == (0, 0) assert bar_container.bars[1][1].size == (0, 0) def test_filled_line_diagram_elements_container(): from screens.activity.diagrams.base import FilledLineDiagramElementsContainer elements_container = FilledLineDiagramElementsContainer() assert elements_container.quads is None elements_container.values = [1, 2, 3, 4] assert len(elements_container.quads) == 3 assert elements_container.quads[2].points[5] == elements_container.height def test_filled_line_diagram_elements_zero_negative(): from screens.activity.diagrams.base import FilledLineDiagramElementsContainer elements_container = FilledLineDiagramElementsContainer() assert elements_container.quads is None elements_container.values = [-1, 0, 0, 4] assert elements_container.quads[0].points[3] == 0 assert elements_container.quads[1].points[3] == 0 def test_filled_line_diagram_elements_length_1(): from screens.activity.diagrams.base import FilledLineDiagramElementsContainer elements_container = FilledLineDiagramElementsContainer() assert elements_container.quads is None elements_container.values = [-1] def test_abstract_diagram(): from screens.activity.diagrams.base import Diagram, DiagramElementsContainer, DiagramLabelsContainer diagram = Diagram() diagram.labels_container = DiagramLabelsContainer() diagram.elements_container = DiagramElementsContainer() diagram.values = {1: 3, 2: 4} assert diagram.labels_container.values == [1, 2] assert diagram.elements_container.values == [3, 4] diagram.color = (1, 1, 1, 1) assert diagram.elements_container.fill_color.rgba == diagram.color def test_day_stats_diagram_empty_ok(empty_data, running_app, root_manager): from screens.activity.diagrams import ActivityDayStats import settings diagram = ActivityDayStats() for family in [None, settings.ANALYTICS_FAMILY, settings.ATTENTION_FAMILY, settings.REACTION_FAMILY, settings.MEMORY_FAMILY]: diagram.family = family assert diagram.color == settings.ACTIVITY_COLORS_TRANSPARENT[family] from library_widgets import OkCancelPopup assertions.assert_modal_view_shown(running_app, OkCancelPopup) popup = control.get_popups(running_app)[0] control.press(popup.ok_button) assert root_manager.current == 'tasks' assertions.assert_modal_view_not_shown(running_app, OkCancelPopup) def test_day_stats_diagram_empty_cancel(empty_data, running_app, root_manager): from screens.activity.diagrams import ActivityDayStats import settings diagram = ActivityDayStats() for family in [None, settings.ANALYTICS_FAMILY, settings.ATTENTION_FAMILY, settings.REACTION_FAMILY, settings.MEMORY_FAMILY]: diagram.family = family assert diagram.color == settings.ACTIVITY_COLORS_TRANSPARENT[family] from library_widgets import OkCancelPopup assertions.assert_modal_view_shown(running_app, OkCancelPopup) popup = control.get_popups(running_app)[0] control.press(popup.cancel_button) assert root_manager.current == 'activity' assertions.assert_modal_view_not_shown(running_app, OkCancelPopup) def test_day_stats_diagram_not_empty(not_empty_data, running_app, root_manager): from screens.activity.diagrams import ActivityDayStats import settings diagram = ActivityDayStats() diagram.family = None from library_widgets import OkCancelPopup assertions.assert_modal_view_not_shown(running_app, OkCancelPopup) assert diagram.values # press again to trigger animations diagram.family = settings.ATTENTION_FAMILY

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d32e41dc506a94dc3895ad0746108b8539a12fff

34,171

py

Python

models/Deep-learning/dataset/dataset_utils.py

jingyi7777/CasRx_guide_efficiency

c9e900e4c4a73215f09852bd621b30e8dcb039e8

[ "MIT" ]

null

models/Deep-learning/dataset/dataset_utils.py

jingyi7777/CasRx_guide_efficiency

c9e900e4c4a73215f09852bd621b30e8dcb039e8

[ "MIT" ]

null

models/Deep-learning/dataset/dataset_utils.py

jingyi7777/CasRx_guide_efficiency

c9e900e4c4a73215f09852bd621b30e8dcb039e8

[ "MIT" ]

null

from itertools import chain from typing import TextIO from sklearn.model_selection import train_test_split from sklearn.model_selection import KFold import tensorflow as tf from utils import base_positions, flip_dict, linearfold_positions import numpy as np import re import sklearn import pdb dataset_csv_path = 'dataset/integrated_features.csv' #dataset_filtered_csv_path = 'dataset/integrated_guide_feature_filtered_ver3.csv' # filtered guides with essential off targets dataset_filtered_csv_path = 'dataset/integrated_guide_feature_filtered_new_ver3.csv' #new unchopped ratio gene_fasta_path = 'dataset/essential_transcripts.fasta' linearfold_fasta_path = 'dataset/guides_linearfold_v.txt' linearfold_fasta_path_c = 'dataset/guides_linearfold_c.txt' genes = ['RPS14', 'CDC5L', 'POLR2I', 'RPS7', 'XAB2', 'RPS19BP1', 'RPL23A', 'SUPT6H', 'PRPF31', 'U2AF1', 'PSMD7', 'Hsp10', 'RPS13', 'PHB', 'RPS9', 'EIF5B', 'RPS6', 'RPS11', 'SUPT5H', 'SNRPD2', 'RPL37', 'RPSA', 'COPS6', 'DDX51', 'EIF4A3', 'KARS', 'RPL5', 'RPL32', 'SF3A1', 'RPS3A', 'SF3B3', 'POLR2D', 'RPS15A', 'RPL31', 'PRPF19', 'SF3B2', 'RPS4X', 'CSE1L', 'RPL6', 'COPZ1', 'PSMB2', 'RPL7', 'PHB2', 'ARCN1', 'RPA2', 'NUP98', 'RPS3', 'EEF2', 'USP39', 'PSMD1', 'NUP93', 'AQR', 'RPL34', 'PSMA1', 'RPS27A'] bprna_features = {'X', 'H', 'E', 'S', 'M', 'I', 'B'} one_hot_gene_selection = dict( (gene, i) for i, gene in enumerate(genes)) # convert above to dictionary that will have 1 hot encoding def parse_gene_fasta_into_dict(): fasta_file = open(gene_fasta_path) gene_dict = {} cur_gene = None for line in fasta_file: if '(' in line: gene = line[line.find('(') + 1:line.find(')')] gene_dict[gene] = [] cur_gene = gene else: for char in line: if char in base_positions.keys(): gene_dict[cur_gene].append(char) return gene_dict def parse_guide_linearfold_fasta_into_dict(): fasta_file = open(linearfold_fasta_path) seq_dict = {} score_dict = {} def parse_one_example(fasta: TextIO): descr_line = fasta.readline() if not descr_line: return None, None, None guide_seq = fasta.readline().strip()[36:] linearfold_and_result = fasta.readline() match = re.match('([\\.|\$|\$]+) $(\-?[0-9]*\.[0-9]+)$', linearfold_and_result) linseq, score = match.groups() score = float(score) assert '>' in descr_line return guide_seq, linseq, score while True: key, seq, score = parse_one_example(fasta_file) if key is None: break seq_dict[key] = seq score_dict[key] = score fasta_file.close() return seq_dict, score_dict def parse_guide_linearfold_fasta_into_dict_contrafold(): fasta_file = open(linearfold_fasta_path_c) seq_dict = {} score_dict = {} def parse_one_example(fasta: TextIO): descr_line = fasta.readline() if not descr_line: return None, None, None guide_seq = fasta.readline().strip()[36:] linearfold_and_result = fasta.readline() match = re.match('([\\.|\$|\$]+) $(\-?[0-9]*\.[0-9]+)$', linearfold_and_result) linseq, score = match.groups() score = float(score) assert '>' in descr_line return guide_seq, linseq, score while True: key, seq, score = parse_one_example(fasta_file) if key is None: break seq_dict[key] = seq score_dict[key] = score fasta_file.close() return seq_dict, score_dict def parse_target_flanks_linearfold_fasta_into_dict_contrafold(flank_len = 5): flank_num = flank_len fname = 'dataset/linfold_guides_nearby'+str(flank_num)+'_output.txt' fasta_file = open(fname) seq_dict = {} score_dict = {} def parse_one_example(fasta: TextIO): descr_line = fasta.readline() if not descr_line: return None, None, None target_seq = fasta.readline().strip() #target with flanks linearfold_and_result = fasta.readline() match = re.match('([\\.|\$|\$]+) $(\-?[0-9]*\.[0-9]+)$', linearfold_and_result) linseq, score = match.groups() score = float(score) assert '>' in descr_line return target_seq, linseq, score #return target seq with flanks while True: key, seq, score = parse_one_example(fasta_file) if key is None: break seq_dict[key] = seq score_dict[key] = score fasta_file.close() return seq_dict, score_dict def parse_target_flanks_constraints_linearfold_fasta_into_dict_contrafold(flank_len = 5): flank_num = flank_len fname = 'dataset/linfold_guides_constrains_nearby'+str(flank_num)+'_output.txt' fasta_file = open(fname) seq_dict = {} score_dict = {} def parse_one_example(fasta: TextIO): descr_line = fasta.readline() if not descr_line: return None, None, None target_seq = fasta.readline().strip() #target with flanks constraints = fasta.readline() linearfold_and_result = fasta.readline() match = re.match('([\\.|\$|\$]+) $(\-?[0-9]*\.[0-9]+)$', linearfold_and_result) linseq, score = match.groups() score = float(score) assert '>' in descr_line return target_seq, linseq, score #return target seq with flanks while True: key, seq, score = parse_one_example(fasta_file) #key is target seq with flanks if key is None: break seq_dict[key] = seq #linfold_seq score_dict[key] = score #linfold_score fasta_file.close() return seq_dict, score_dict def one_hot_encode_linearfold(seq, remove_universal_start=False): if remove_universal_start: # all linearfold guides have a constant 36 pair starter sequence seq = seq[36:] output_len = len(seq) encoded_seq = np.zeros((output_len, 3), dtype=np.float32) for i, fold in enumerate(seq): encoded_seq[i][linearfold_positions[fold]] = 1 return encoded_seq def one_hot_encode_linearfold_onechannel(seq, remove_universal_start=False): if remove_universal_start: # all linearfold guides have a constant 36 pair starter sequence seq = seq[36:] output_len = len(seq) encoded_seq = np.zeros((output_len, 1), dtype=np.float32) for i, fold in enumerate(seq): if fold != '.': #pair with other bases encoded_seq[i,0] = 1 return encoded_seq def one_hot_encode_sequence(seq, pad_to_len=-1): output_len = len(seq) if pad_to_len > 0: assert pad_to_len >= output_len output_len = pad_to_len encoded_seq = np.zeros((output_len, 4), dtype=np.float32) for i, base in enumerate(seq): encoded_seq[i][base_positions[base]] = 1 return encoded_seq def encoded_to_str(encoded_seq): indices = np.argmax(encoded_seq, axis=1) return ''.join([base_positions[i] for i in indices]) def complement_str(string): return ''.join([flip_dict[char] for char in string]) def complement_encoding(seq): encoded_seq = np.zeros((len(seq), 4)) for i, base in enumerate(seq): encoded_seq[i][base_positions[flip_dict[base]]] = 1 return encoded_seq def reverse_complement_encoding(seq): return np.flip(complement_encoding(seq), axis=0) def reverse_complement(encoding): return reverse_complement_encoding(encoded_to_str(encoding)) def get_gene_encodings(pad=True): gene_dict_of_strings = parse_gene_fasta_into_dict() pad_to_len = -1 # means do not pad if pad: pad_to_len = max(len(string) for string in gene_dict_of_strings.values()) encoded_genes = {} for gene in gene_dict_of_strings.keys(): encoded_genes[gene] = one_hot_encode_sequence(gene_dict_of_strings[gene], pad_to_len=pad_to_len) return encoded_genes def create_gene_splits(gene_strings, values_to_split: list, seed=113): if seed: np.random.seed(seed) non_train_genes = np.random.choice(genes, 11, replace=False) val_genes = non_train_genes[:5] test_genes = non_train_genes[5:] print('val:', val_genes) print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids) - set(test_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val, test def create_gene_splits_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index assert split >= 0 and split < kfold if kfold == 5: non_train_genes = genes[split * 11: (split + 1) * 11] val_genes = non_train_genes[:5] test_genes = non_train_genes[5:] elif kfold == 11: num_genes = len(genes) val_genes = genes[split * 5: (split + 1) * 5] if split != 10: test_genes = genes[((split + 1) * 5): (split + 2) * 5] else: test_genes = genes[0:5] print('val:', val_genes) print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids) - set(test_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val, test def create_gene_splits_filter1_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index genes_filter_1 = ['RPS6', 'PRPF19', 'RPL34', 'Hsp10', 'POLR2I', 'EIF5B', 'RPL31', 'RPS3A', 'CSE1L', 'XAB2', 'PSMD7', 'SUPT6H', 'EEF2', 'RPS11', 'SNRPD2', 'RPL37', 'SF3B3', 'DDX51', 'RPL7', 'RPS9', 'KARS', 'SF3A1', 'RPL32', 'PSMB2', 'RPS7', 'EIF4A3', 'U2AF1', 'PSMA1', 'PHB', 'POLR2D', 'RPSA', 'RPL23A', 'NUP93', 'AQR', 'RPA2', 'SUPT5H', 'RPL6', 'RPS13', 'SF3B2', 'RPS27A', 'PRPF31', 'COPZ1', 'RPS4X', 'PSMD1', 'RPS14', 'NUP98', 'USP39', 'CDC5L', 'RPL5', 'PHB2', 'RPS15A', 'RPS3', 'ARCN1', 'COPS6'] assert split >= 0 and split < kfold if kfold == 9: val_genes = genes_filter_1[split * 6: (split + 1) * 6] if split != 8: test_genes = genes_filter_1[((split + 1) * 6): (split + 2) * 6] else: test_genes = genes_filter_1[0:6] print('val:', val_genes) print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids) - set(test_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val, test def create_gene_splits_filter1_new_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index genes_filter_1_new = ['RPS6', 'PRPF19', 'RPL34', 'Hsp10', 'POLR2I', 'DDX51', 'RPL31', 'RPS3A', 'CSE1L', 'XAB2', 'PSMD7', 'EIF5B', 'EEF2', 'RPS11', 'SNRPD2', 'RPL37', 'SF3B3', 'SUPT6H', 'RPL7', 'RPS9', 'KARS', 'SF3A1', 'RPL32', 'PSMB2', 'RPS7', 'EIF4A3', 'U2AF1', 'PSMA1', 'PHB', 'POLR2D', 'RPSA', 'RPL23A', 'NUP93', 'AQR', 'RPA2', 'SUPT5H', 'RPL6', 'RPS13', 'SF3B2', 'RPS27A', 'PRPF31', 'COPZ1', 'RPS4X', 'PSMD1', 'RPS14', 'NUP98', 'USP39', 'COPS6', 'RPL5', 'PHB2', 'RPS15A', 'RPS3', 'ARCN1', 'CDC5L'] assert split >= 0 and split < kfold if kfold == 9: val_genes = genes_filter_1_new[split * 6: (split + 1) * 6] if split != 8: test_genes = genes_filter_1_new[((split + 1) * 6): (split + 2) * 6] else: test_genes = genes_filter_1_new[0:6] print('val:', val_genes) print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids) - set(test_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val, test def create_gene_splits_filter2_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index genes_filter_2 = ['COPZ1', 'RPS27A', 'PSMA1', 'SNRPD2', 'EIF4A3', 'RPS4X', 'ARCN1', 'POLR2I', 'SF3B3', 'RPS15A', 'RPL6', 'RPS9', 'EIF5B', 'RPA2', 'XAB2', 'NUP93', 'RPS11', 'RPL7', 'SUPT6H', 'PHB', 'Hsp10', 'U2AF1', 'RPL5', 'RPS7', 'PSMB2', 'USP39', 'AQR', 'RPS14', 'RPL23A', 'RPSA', 'SUPT5H', 'RPL32', 'NUP98', 'PRPF19', 'PSMD1', 'RPS13', 'COPS6', 'SF3A1', 'RPS3', 'KARS', 'PHB2', 'RPL31', 'DDX51', 'PSMD7', 'RPL34', 'CSE1L', 'EEF2', 'RPS3A', 'POLR2D', 'PRPF31', 'RPL37', 'SF3B2', 'RPS6'] assert split >= 0 and split < kfold if kfold == 9: if split != 8: val_genes = genes_filter_2[split * 6: (split + 1) * 6] test_genes = genes_filter_2[((split + 1) * 6): min((split + 2) * 6,53)] else: val_genes = genes_filter_2[split * 6: 53] test_genes = genes_filter_2[0:6] print('val:', val_genes) print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids) - set(test_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val, test def create_gene_splits_filter5_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index genes_filter_5 = ['RPS6', 'SF3B2', 'RPL34', 'USP39', 'PSMD7', 'RPL31', 'RPS9', 'KARS', 'NUP98', 'POLR2D', 'RPS4X', 'PRPF19', 'RPS3', 'SF3A1', 'SUPT5H', 'EEF2', 'RPS13', 'NUP93', 'PHB', 'RPL32', 'RPL7', 'RPS15A', 'AQR', 'PSMA1', 'DDX51', 'RPL5', 'RPS3A', 'CSE1L', 'PRPF31', 'POLR2I', 'RPS7', 'PSMD1', 'SNRPD2', 'XAB2', 'RPA2', 'RPSA', 'RPL23A', 'Hsp10', 'RPS27A', 'SUPT6H', 'RPL6', 'RPS11', 'U2AF1', 'SF3B3', 'EIF5B', 'PHB2', 'EIF4A3', 'RPS14', 'RPL37', 'ARCN1'] assert split >= 0 and split < kfold if kfold == 10: val_genes = genes_filter_5[split * 5: (split + 1) * 5] if split != 9: test_genes = genes_filter_5[((split + 1) * 5): (split + 2) * 5] else: test_genes = genes_filter_5[0:5] print('val:', val_genes) print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids) - set(test_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val, test def create_gene_splits_no_test_kfold(gene_strings, values_to_split: list, kfold, split): assert split >= 0 and split < kfold if kfold == 5: non_train_genes = genes[split * 11: (split + 1) * 11] val_genes = non_train_genes[:5] test_genes = non_train_genes[5:] elif kfold == 11: num_genes = len(genes) val_genes = genes[split * 5: (split + 1) * 5] # if split != 10: # test_genes = genes[((split + 1) * 5): (split + 2) * 5] # else: # test_genes = genes[0:5] print('val:', val_genes) # print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) # test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) # train_ids = list((set(range(len(gene_strings))) - set(val_ids) - set(test_ids))) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] # test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val def create_gene_splits_filter1_no_test_kfold(gene_strings, values_to_split: list, kfold, split): genes_filter_1 = ['RPS6', 'PRPF19', 'RPL34', 'Hsp10', 'POLR2I', 'EIF5B', 'RPL31', 'RPS3A', 'CSE1L', 'XAB2', 'PSMD7', 'SUPT6H', 'EEF2', 'RPS11', 'SNRPD2', 'RPL37', 'SF3B3', 'DDX51', 'RPL7', 'RPS9', 'KARS', 'SF3A1', 'RPL32', 'PSMB2', 'RPS7', 'EIF4A3', 'U2AF1', 'PSMA1', 'PHB', 'POLR2D', 'RPSA', 'RPL23A', 'NUP93', 'AQR', 'RPA2', 'SUPT5H', 'RPL6', 'RPS13', 'SF3B2', 'RPS27A', 'PRPF31', 'COPZ1', 'RPS4X', 'PSMD1', 'RPS14', 'NUP98', 'USP39', 'CDC5L', 'RPL5', 'PHB2', 'RPS15A', 'RPS3', 'ARCN1', 'COPS6'] assert split >= 0 and split < kfold if kfold == 9: val_genes = genes_filter_1[split * 6: (split + 1) * 6] #if split != 8: # test_genes = genes_filter_1[((split + 1) * 6): (split + 2) * 6] #else: # test_genes = genes_filter_1[0:6] print('val:', val_genes) #print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) #test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] #test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val def create_gene_splits_filter1_test_asval_kfold(gene_strings, values_to_split: list, kfold, split): genes_filter_1 = ['RPS6', 'PRPF19', 'RPL34', 'Hsp10', 'POLR2I', 'EIF5B', 'RPL31', 'RPS3A', 'CSE1L', 'XAB2', 'PSMD7', 'SUPT6H', 'EEF2', 'RPS11', 'SNRPD2', 'RPL37', 'SF3B3', 'DDX51', 'RPL7', 'RPS9', 'KARS', 'SF3A1', 'RPL32', 'PSMB2', 'RPS7', 'EIF4A3', 'U2AF1', 'PSMA1', 'PHB', 'POLR2D', 'RPSA', 'RPL23A', 'NUP93', 'AQR', 'RPA2', 'SUPT5H', 'RPL6', 'RPS13', 'SF3B2', 'RPS27A', 'PRPF31', 'COPZ1', 'RPS4X', 'PSMD1', 'RPS14', 'NUP98', 'USP39', 'CDC5L', 'RPL5', 'PHB2', 'RPS15A', 'RPS3', 'ARCN1', 'COPS6'] assert split >= 0 and split < kfold if kfold == 9: val_genes = genes_filter_1[split * 6: (split + 1) * 6] if split != 8: test_genes = genes_filter_1[((split + 1) * 6): (split + 2) * 6] else: test_genes = genes_filter_1[0:6] val_genes = val_genes + test_genes print('val:', val_genes) #print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) #test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] #test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val def create_gene_splits_filter2_no_test_kfold(gene_strings, values_to_split: list, kfold, split): genes_filter_2 = ['COPZ1', 'RPS27A', 'PSMA1', 'SNRPD2', 'EIF4A3', 'RPS4X', 'ARCN1', 'POLR2I', 'SF3B3', 'RPS15A', 'RPL6', 'RPS9', 'EIF5B', 'RPA2', 'XAB2', 'NUP93', 'RPS11', 'RPL7', 'SUPT6H', 'PHB', 'Hsp10', 'U2AF1', 'RPL5', 'RPS7', 'PSMB2', 'USP39', 'AQR', 'RPS14', 'RPL23A', 'RPSA', 'SUPT5H', 'RPL32', 'NUP98', 'PRPF19', 'PSMD1', 'RPS13', 'COPS6', 'SF3A1', 'RPS3', 'KARS', 'PHB2', 'RPL31', 'DDX51', 'PSMD7', 'RPL34', 'CSE1L', 'EEF2', 'RPS3A', 'POLR2D', 'PRPF31', 'RPL37', 'SF3B2', 'RPS6'] assert split >= 0 and split < kfold if kfold == 9: if split != 8: val_genes = genes_filter_2[split * 6: (split + 1) * 6] #test_genes = genes_filter_2[((split + 1) * 6): min((split + 2) * 6,53)] else: val_genes = genes_filter_2[split * 6: 53] #test_genes = genes_filter_2[0:6] print('val:', val_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) #test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] #test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val def create_gene_splits_filter2_test_asval_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index genes_filter_2 = ['COPZ1', 'RPS27A', 'PSMA1', 'SNRPD2', 'EIF4A3', 'RPS4X', 'ARCN1', 'POLR2I', 'SF3B3', 'RPS15A', 'RPL6', 'RPS9', 'EIF5B', 'RPA2', 'XAB2', 'NUP93', 'RPS11', 'RPL7', 'SUPT6H', 'PHB', 'Hsp10', 'U2AF1', 'RPL5', 'RPS7', 'PSMB2', 'USP39', 'AQR', 'RPS14', 'RPL23A', 'RPSA', 'SUPT5H', 'RPL32', 'NUP98', 'PRPF19', 'PSMD1', 'RPS13', 'COPS6', 'SF3A1', 'RPS3', 'KARS', 'PHB2', 'RPL31', 'DDX51', 'PSMD7', 'RPL34', 'CSE1L', 'EEF2', 'RPS3A', 'POLR2D', 'PRPF31', 'RPL37', 'SF3B2', 'RPS6'] assert split >= 0 and split < kfold if kfold == 9: if split != 8: val_genes = genes_filter_2[split * 6: (split + 1) * 6] test_genes = genes_filter_2[((split + 1) * 6): min((split + 2) * 6,53)] else: val_genes = genes_filter_2[split * 6: 53] test_genes = genes_filter_2[0:6] val_genes = val_genes + test_genes print('val:', val_genes) #print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) #test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] #test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val def create_gene_splits_filter5_test_asval_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index genes_filter_5 = ['RPS6', 'SF3B2', 'RPL34', 'USP39', 'PSMD7', 'RPL31', 'RPS9', 'KARS', 'NUP98', 'POLR2D', 'RPS4X', 'PRPF19', 'RPS3', 'SF3A1', 'SUPT5H', 'EEF2', 'RPS13', 'NUP93', 'PHB', 'RPL32', 'RPL7', 'RPS15A', 'AQR', 'PSMA1', 'DDX51', 'RPL5', 'RPS3A', 'CSE1L', 'PRPF31', 'POLR2I', 'RPS7', 'PSMD1', 'SNRPD2', 'XAB2', 'RPA2', 'RPSA', 'RPL23A', 'Hsp10', 'RPS27A', 'SUPT6H', 'RPL6', 'RPS11', 'U2AF1', 'SF3B3', 'EIF5B', 'PHB2', 'EIF4A3', 'RPS14', 'RPL37', 'ARCN1'] assert split >= 0 and split < kfold if kfold == 10: val_genes = genes_filter_5[split * 5: (split + 1) * 5] if split != 9: test_genes = genes_filter_5[((split + 1) * 5): (split + 2) * 5] else: test_genes = genes_filter_5[0:5] val_genes = val_genes + test_genes print('val:', val_genes) #print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) #test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] #test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val def create_gene_splits_filter5_new_test_asval_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index genes_filter_5_new = ['EIF5B', 'RPL37', 'CSE1L', 'PSMD1', 'RPS13', 'ARCN1', 'SF3A1', 'RPL34', 'RPS11', 'EEF2', 'RPA2', 'PHB', 'KARS', 'RPS3A', 'RPS4X', 'SUPT6H', 'PSMA1', 'RPS14', 'EIF4A3', 'RPL5', 'POLR2I', 'SF3B3', 'AQR', 'RPS9', 'RPL31', 'PSMD7', 'RPL32', 'Hsp10', 'PRPF19', 'RPSA', 'SUPT5H', 'XAB2', 'RPS3', 'PHB2', 'RPL6', 'PRPF31', 'USP39', 'NUP93', 'RPL23A', 'RPS7', 'DDX51', 'NUP98', 'U2AF1', 'SF3B2', 'RPL7', 'POLR2D', 'RPS27A', 'SNRPD2', 'RPS15A', 'RPS6'] assert split >= 0 and split < kfold if kfold == 10: val_genes = genes_filter_5_new[split * 5: (split + 1) * 5] if split != 9: test_genes = genes_filter_5_new[((split + 1) * 5): (split + 2) * 5] else: test_genes = genes_filter_5_new[0:5] val_genes = val_genes + test_genes print('val:', val_genes) #print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) #test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] #test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val def create_gene_splits_filter6_test_asval_kfold(gene_strings, values_to_split: list, kfold, split): # use number [0, 1, 2, 3, 4] as index genes_filter_6 = ['SUPT6H', 'Hsp10', 'RPS14', 'PSMD1', 'RPL31', 'RPA2', 'NUP98', 'RPL34', 'RPS7', 'EEF2', 'ARCN1', 'SF3A1', 'RPS15A', 'PRPF19', 'PHB2', 'SUPT5H', 'PSMA1', 'RPS3', 'RPL23A', 'RPSA', 'POLR2I', 'RPS27A', 'NUP93', 'RPS13', 'RPL6', 'DDX51', 'PHB', 'SNRPD2', 'RPS9', 'RPL7', 'PSMD7', 'USP39', 'KARS', 'SF3B2', 'RPS6', 'POLR2D', 'RPL37', 'CSE1L', 'EIF4A3', 'RPS3A', 'PRPF31', 'SF3B3', 'AQR', 'RPS11', 'RPL5', 'RPL32', 'XAB2', 'U2AF1', 'RPS4X'] assert split >= 0 and split < kfold if kfold == 10: if split != 9: val_genes = genes_filter_6[split * 5: (split + 1) * 5] test_genes = genes_filter_6[((split + 1) * 5): min((split + 2) * 5,49)] else: val_genes = genes_filter_6[split * 5:] test_genes = genes_filter_6[0:5] val_genes = val_genes + test_genes print('val:', val_genes) #print('test:', test_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) #test_ids = list(chain(*[np.where(gene_strings == g)[0] for g in test_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] #test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val def create_gene_splits_no_test_nbt_val_kfold(gene_strings, values_to_split: list, kfold, split): assert split >= 0 and split < kfold if kfold == 5: non_train_genes = genes[split * 11: (split + 1) * 11] val_genes = non_train_genes[:5] test_genes = non_train_genes[5:] elif kfold == 11: num_genes = len(genes) val_genes = genes[split * 5: (split + 1) * 5]+['CD46','CD55','CD71'] print('val:', val_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] return train, val def create_gene_splits_no_test_cd_val_kfold(gene_strings, values_to_split: list, kfold, split): assert split >= 0 and split < kfold if kfold == 5: non_train_genes = genes[split * 11: (split + 1) * 11] val_genes = non_train_genes[:5] test_genes = non_train_genes[5:] elif kfold == 11: num_genes = len(genes) val_genes = genes[split * 5: (split + 1) * 5]+['CD58','CD81'] print('val:', val_genes) val_ids = list(chain(*[np.where(gene_strings == g)[0] for g in val_genes])) train_ids = list((set(range(len(gene_strings))) - set(val_ids))) train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] return train, val def create_dataset_inputs_and_outputs(input_list, outputs, classes): num_inputs = len(input_list) split_data = train_test_split(*input_list, outputs, classes, test_size=.1, stratify=classes) remaining_classes = split_data[-2] val_outputs = split_data[-3] remaining_outputs = split_data[-4] val_inputs = tuple(split_data[1:-4:2]) remaining_inputs = tuple(split_data[:-4:2]) split_data = train_test_split(*remaining_inputs, remaining_outputs, test_size=.1, stratify=remaining_classes) test_outputs = split_data[-1] train_outputs = split_data[-2] test_inputs = tuple(split_data[1:-2:2]) train_inputs = tuple(split_data[:-2:2]) return (train_inputs, train_outputs), (val_inputs, val_outputs), (test_inputs, test_outputs) def create_guide_splits_kfold(values_to_split: list, kfold, split): kf = KFold(n_splits=kfold, shuffle=True, random_state=42) ss = 0 for train_index, test_index in kf.split(values_to_split[-1]): if ss == int(split): #print("TRAIN:", train_index, "TEST:", test_index) val_ids = np.random.choice(train_index, size=len(test_index), replace=False) test_ids = test_index train_ids = list(set(train_index) - set(val_ids)) #X_train, X_test = np.array(all_cols[0])[train_index], np.array(all_cols[0])[test_index] #y_train, y_test = np.array(all_cols[1])[train_index], np.array(all_cols[1])[test_index] train = [[arr[i] for i in train_ids] for arr in values_to_split] val = [[arr[i] for i in val_ids] for arr in values_to_split] test = [[arr[i] for i in test_ids] for arr in values_to_split] return train, val, test else: ss += 1 def prep_dataset(d: tf.data.Dataset, batch_size=16): d = d.batch(batch_size).prefetch(tf.data.experimental.AUTOTUNE) return d if __name__ == '__main__': encodings = get_gene_encodings(pad=False) lens = dict([(gene, len(encoding)) for gene, encoding in encodings.items()]) print(lens) # pad right def get_nearby_encoding(guide_encoding, guide_loc, gene_encoding, num_bases_either_side=10, pad=True, rcomp=False, flag_dim=False): n = num_bases_either_side gene_len = len(gene_encoding) guide_len = len(guide_encoding) guide_index = int(np.round(guide_loc * gene_len)) if abs(guide_index - guide_loc * gene_len) > 1e-2: print("rounded %f to %d" % (guide_loc * gene_len, guide_index)) reverse_comp = reverse_complement(guide_encoding) assert np.all(reverse_comp == gene_encoding[guide_index:guide_index + guide_len]) min_index = max(guide_index - n, 0) max_index = min(guide_index + guide_len + n, gene_len) gene_out = gene_encoding[min_index:max_index] expected_len = guide_len + num_bases_either_side * 2 if pad and len(gene_out) < expected_len: padded = np.zeros((expected_len, 4)) padded[0:len(gene_out), :] = gene_out gene_out = padded if rcomp: gene_out = reverse_complement(gene_out) if flag_dim: new_out = np.zeros((gene_out.shape[0], 5)) new_out[:, :4] = gene_out new_out[num_bases_either_side:-num_bases_either_side, 4] = 1 gene_out = new_out return gene_out def get_nearby_encoding_rv(guide_encoding, guide_loc, gene_encoding, num_bases_either_side=3, left = True, right = True, pad=True): n = num_bases_either_side gene_len = len(gene_encoding) guide_len = len(guide_encoding) guide_index = int(guide_loc) #flank seq on both sides min_index = max(guide_index - n, 0) max_index = min(guide_index + guide_len + n, gene_len) expected_len = guide_len + num_bases_either_side * 2 if left == False: #only add right flanking seq from the gene min_index = guide_index expected_len = guide_len + num_bases_either_side if right == False: max_index = guide_index + guide_len expected_len = guide_len + num_bases_either_side gene_out = gene_encoding[min_index:max_index] guide_flanks_encode = reverse_complement(gene_out) if pad and (len(gene_out) < expected_len): padded = np.zeros((expected_len, 4)) if max_index == gene_len: #end of gene #padded[0:len(gene_out), :] = gene_out padded[-len(gene_out):, :] = guide_flanks_encode else: #padded[-len(gene_out):, :] = gene_out padded[0:len(gene_out), :] = guide_flanks_encode guide_flanks_encode = padded return guide_flanks_encode def normalize(a: np.ndarray): """ :param a: numpy array of size N x D, where N is number of examples, D is number of features :return: a, normalized so that all feature columns are now between 0 and 1 """ a_normed, norms = sklearn.preprocessing.normalize(a, norm='max', axis=0, return_norm=True) print("Norms:", norms) return a_normed

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0

5

d3488053fbbf5c41265d2de286c1455772c4345b

1,561

py

Python

extend/3Dplot.py

JiabinTan/LUNA16

d6f08b699752977ead75fddc67cfa6e54e1c296f

[ "MIT" ]

null

extend/3Dplot.py

JiabinTan/LUNA16

d6f08b699752977ead75fddc67cfa6e54e1c296f

[ "MIT" ]

null

extend/3Dplot.py

JiabinTan/LUNA16

d6f08b699752977ead75fddc67cfa6e54e1c296f

[ "MIT" ]

null

from skimage import measure from mpl_toolkits.mplot3d.art3d import Poly3DCollection import matplotlib.pyplot as plt import sys ''' 输入 image：3D数据 threshold: 阈值数值建议在400左右调整输出 plot ''' def plot_3d(image, threshold=-300): # Position the scan upright, # so the head of the patient would be at the top facing the camera p = image.transpose(2, 1, 0) p = p[:, :, ::-1] verts, faces, norm, val = measure.marching_cubes_lewiner(p, threshold) fig = plt.figure(figsize=(10, 10)) ax = fig.add_subplot(111, projection='3d') # Fancy indexing: `verts[faces]` to generate a collection of triangles mesh = Poly3DCollection(verts[faces], alpha=0.1) face_color = [0.5, 0.5, 1] mesh.set_facecolor(face_color) ax.add_collection3d(mesh) ax.set_xlim(0, p.shape[0]) ax.set_ylim(0, p.shape[1]) ax.set_zlim(0, p.shape[2]) plt.show() def plot_3d_k(image, threshold=-300): # Position the scan upright, # so the head of the patient would be at the top facing the camera p = image.transpose(2, 1, 0) verts, faces, norm, val = measure.marching_cubes_lewiner(p, threshold) fig = plt.figure(figsize=(10, 10)) ax = fig.add_subplot(111, projection='3d') # Fancy indexing: `verts[faces]` to generate a collection of triangles mesh = Poly3DCollection(verts[faces], alpha=0.70) face_color = [0.45, 0.45, 0.75] mesh.set_facecolor(face_color) ax.add_collection3d(mesh) ax.set_xlim(0, p.shape[0]) ax.set_ylim(0, p.shape[1]) ax.set_zlim(0, p.shape[2]) plt.show()

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null

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1

0

null

0

5

d34b0c3ed7f44bacbfc0c916ca14c32bd26ff18f

18,995

py

Python

tests/test_storage.py

tsuru/varnishapi

d63a8c8c5f9c837855509fc5af59d8213c1c91d6

[ "BSD-3-Clause" ]

3

2015-05-04T03:20:09.000Z

2016-02-19T10:35:35.000Z

tests/test_storage.py

tsuru/varnishapi

d63a8c8c5f9c837855509fc5af59d8213c1c91d6

[ "BSD-3-Clause" ]

3

2015-01-02T13:18:56.000Z

2021-02-08T20:17:14.000Z

tests/test_storage.py

tsuru/varnishapi

d63a8c8c5f9c837855509fc5af59d8213c1c91d6

[ "BSD-3-Clause" ]

5

2015-01-02T13:11:45.000Z

2016-08-26T06:14:35.000Z

# Copyright 2014 varnishapi authors. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file. import unittest import freezegun import pymongo from feaas import storage class InstanceTestCase(unittest.TestCase): def test_init_with_units(self): units = [storage.Unit(id="i-0800"), storage.Unit(id="i-0801")] instance = storage.Instance(name="something", units=units) for unit in units: self.assertEqual(instance, unit.instance) def test_to_dict(self): instance = storage.Instance(name="myinstance", state="created") expected = {"name": "myinstance", "state": "created"} self.assertEqual(expected, instance.to_dict()) def test_add_unit(self): unit1 = storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800") unit2 = storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801") instance = storage.Instance() instance.add_unit(unit1) instance.add_unit(unit2) self.assertEqual([unit1, unit2], instance.units) self.assertEqual(instance, unit1.instance) self.assertEqual(instance, unit2.instance) def test_remove_unit(self): unit1 = storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800") unit2 = storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801") instance = storage.Instance() instance.add_unit(unit1) instance.add_unit(unit2) self.assertEqual([unit1, unit2], instance.units) instance.remove_unit(unit1) self.assertEqual([unit2], instance.units) class UnitTestCase(unittest.TestCase): def test_to_dict(self): instance = storage.Instance(name="myinstance") unit = storage.Unit(id="i-0800", dns_name="instance.cloud.tsuru.io", secret="abc123", state="started", instance=instance) expected = {"id": "i-0800", "dns_name": "instance.cloud.tsuru.io", "secret": "abc123", "state": "started", "instance_name": "myinstance"} self.assertEqual(expected, unit.to_dict()) class BindTestCase(unittest.TestCase): def test_to_dict(self): instance = storage.Instance(name="myinstance") bind = storage.Bind("wat.g1.cloud.tsuru.io", instance) expected = {"app_host": "wat.g1.cloud.tsuru.io", "instance_name": "myinstance", "created_at": bind.created_at, "state": bind.state} self.assertEqual(expected, bind.to_dict()) class MongoDBStorageTestCase(unittest.TestCase): @classmethod def setUpClass(cls): cls.client = pymongo.MongoClient('localhost', 27017) @classmethod def tearDownClass(cls): cls.client.drop_database("feaas_test") def setUp(self): self.storage = storage.MongoDBStorage(dbname="feaas_test") def test_store_instance(self): instance = storage.Instance(name="secret") self.storage.store_instance(instance) self.addCleanup(self.client.feaas_test.instances.remove, {"name": "secret"}) instance = self.client.feaas_test.instances.find_one({"name": "secret"}) expected = {"name": "secret", "_id": instance["_id"], "state": "creating"} self.assertEqual(expected, instance) def test_store_instance_with_units(self): units = [storage.Unit(dns_name="instance.cloud.tsuru.io", id="i-0800")] instance = storage.Instance(name="secret", units=units) self.storage.store_instance(instance) self.addCleanup(self.client.feaas_test.instances.remove, {"name": "secret"}) self.addCleanup(self.client.feaas_test.units.remove, {"instance_name": "secret"}) instance = self.client.feaas_test.instances.find_one({"name": "secret"}) expected = {"name": "secret", "_id": instance["_id"], "state": "creating"} self.assertEqual(expected, instance) unit = self.client.feaas_test.units.find_one({"id": "i-0800", "instance_name": "secret"}) expected = units[0].to_dict() expected["_id"] = unit["_id"] self.assertEqual(expected, unit) def test_store_instance_update_with_units(self): units = [storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800"), storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801"), storage.Unit(dns_name="instance3.cloud.tsuru.io", id="i-0802")] instance = storage.Instance(name="secret", units=units) self.storage.store_instance(instance) self.addCleanup(self.client.feaas_test.instances.remove, {"name": "secret"}) self.addCleanup(self.client.feaas_test.units.remove, {"instance_name": "secret"}) self.assert_units(units, "secret") new_units = units[1:] instance.units = new_units self.storage.store_instance(instance) self.assert_units(new_units, "secret") def test_store_instance_update_without_units(self): units = [storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800"), storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801"), storage.Unit(dns_name="instance3.cloud.tsuru.io", id="i-0802")] instance = storage.Instance(name="secret", units=units) self.storage.store_instance(instance) self.addCleanup(self.client.feaas_test.instances.remove, {"name": "secret"}) self.addCleanup(self.client.feaas_test.units.remove, {"instance_name": "secret"}) instance.units = [] instance.state = "started" self.storage.store_instance(instance, save_units=False) self.assert_units(units, instance.name) got_instance = self.storage.retrieve_instance(name=instance.name) self.assertEqual("started", got_instance.state) def test_retrieve_instance(self): units = [storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800"), storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801"), storage.Unit(dns_name="instance3.cloud.tsuru.io", id="i-0802")] instance = storage.Instance(name="what", units=units) self.storage.store_instance(instance) self.addCleanup(self.client.feaas_test.instances.remove, {"name": instance.name}) self.addCleanup(self.client.feaas_test.units.remove, {"instance_name": instance.name}) got_instance = self.storage.retrieve_instance(name="what") self.assertEqual([u.to_dict() for u in units], [u.to_dict() for u in got_instance.units]) self.assertEqual(instance.to_dict(), got_instance.to_dict()) def test_retrieve_instance_check_liveness(self): instance = storage.Instance(name="what", state="removed") self.storage.store_instance(instance) self.addCleanup(self.client.feaas_test.instances.remove, {"name": instance.name}) with self.assertRaises(storage.InstanceNotFoundError): self.storage.retrieve_instance(name="what", check_liveness=True) def test_retrieve_instance_not_found(self): with self.assertRaises(storage.InstanceNotFoundError): self.storage.retrieve_instance(name="secret") def test_retrieve_instance_by_state(self): instance1 = storage.Instance(name="where", state="creating") self.storage.store_instance(instance1) self.addCleanup(self.client.feaas_test.instances.remove, {"name": instance1.name}) instance2 = storage.Instance(name="when", state="creating") self.storage.store_instance(instance2) self.addCleanup(self.client.feaas_test.instances.remove, {"name": instance2.name}) instance3 = storage.Instance(name="who", state="starting") self.storage.store_instance(instance3) self.addCleanup(self.client.feaas_test.instances.remove, {"name": instance3.name}) instance = self.storage.retrieve_instance(state="creating") self.assertEqual(instance1.name, instance.name) self.assertEqual(instance1.state, instance.state) def test_remove_instance(self): instance = storage.Instance(name="years") self.storage.store_instance(instance) self.storage.remove_instance(instance.name) self.assertIsNone(self.client.feaas_test.instances.find_one({"name": instance.name})) def test_remove_instance_with_units(self): units = [storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800"), storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801"), storage.Unit(dns_name="instance3.cloud.tsuru.io", id="i-0802")] instance = storage.Instance(name="secret", units=units) self.storage.store_instance(instance) self.storage.remove_instance(instance.name) self.assertIsNone(self.client.feaas_test.units.find_one({"instance_name": instance.name})) def test_remove_instance_with_binds(self): units = [storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800"), storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801"), storage.Unit(dns_name="instance3.cloud.tsuru.io", id="i-0802")] instance = storage.Instance(name="secret", units=units) self.storage.store_instance(instance) bind = storage.Bind("myapp.cloud.tsuru.io", instance) self.storage.store_bind(bind) self.storage.remove_instance(instance.name) self.assertIsNone(self.client.feaas_test.binds.find_one({"instance_name": instance.name})) def test_store_scale_job(self): job = {"instance": "myapp", "quantity": 2, "state": "done"} self.storage.store_scale_job(job) self.addCleanup(self.client.feaas_test.scale_jobs.remove, {"instance": "myapp"}) got_job = self.client.feaas_test.scale_jobs.find_one() self.assertEqual(job, got_job) def test_store_scale_job_no_state(self): job = {"instance": "myapp", "quantity": 2} self.storage.store_scale_job(job) self.addCleanup(self.client.feaas_test.scale_jobs.remove, {"instance": "myapp"}) self.assertEqual("pending", job["state"]) got_job = self.client.feaas_test.scale_jobs.find_one() self.assertEqual(job, got_job) def test_get_scale_job(self): job1 = {"instance": "myapp", "quantity": 2} self.storage.store_scale_job(job1) job2 = {"instance": "myapp", "quantity": 3} self.storage.store_scale_job(job2) self.addCleanup(self.client.feaas_test.scale_jobs.remove, {"instance": "myapp"}) got_job = self.storage.get_scale_job() expected_job = self.client.feaas_test.scale_jobs.find_one() self.assertEqual(expected_job, got_job) self.assertEqual("processing", got_job["state"]) def test_get_scale_job_not_found(self): job = self.storage.get_scale_job() self.assertIsNone(job) def test_get_scale_job_no_pending_job(self): job1 = {"instance": "myapp", "quantity": 2, "state": "processing"} self.storage.store_scale_job(job1) job2 = {"instance": "myapp", "quantity": 2, "state": "done"} self.storage.store_scale_job(job2) self.addCleanup(self.client.feaas_test.scale_jobs.remove, {"instance": "myapp"}) job = self.storage.get_scale_job() self.assertIsNone(job) def test_reset_scale_job(self): job = {"instance": "myapp", "quantity": 2, "state": "processing"} self.storage.store_scale_job(job) self.addCleanup(self.client.feaas_test.scale_jobs.remove, {"instance": "myapp"}) self.storage.reset_scale_job(job) self.assertEqual("pending", job["state"]) persisted_job = self.client.feaas_test.scale_jobs.find_one() self.assertEqual(job, persisted_job) def test_reset_scale_job_no_id(self): job = {"instance": "myapp", "quantity": 2, "state": "processing"} with self.assertRaises(ValueError) as cm: self.storage.reset_scale_job(job) exc = cm.exception self.assertEqual(("job is not persisted",), exc.args) def test_finish_scale_job(self): job = {"instance": "myapp", "quantity": 2, "state": "processing"} self.storage.store_scale_job(job) self.addCleanup(self.client.feaas_test.scale_jobs.remove, {"instance": "myapp"}) self.storage.finish_scale_job(job) self.assertEqual("done", job["state"]) persisted_job = self.client.feaas_test.scale_jobs.find_one() self.assertEqual(job, persisted_job) def test_finish_scale_job_no_id(self): job = {"instance": "myapp", "quantity": 2, "state": "processing"} with self.assertRaises(ValueError) as cm: self.storage.finish_scale_job(job) exc = cm.exception self.assertEqual(("job is not persisted",), exc.args) @freezegun.freeze_time("2014-02-16 12:00:01") def test_store_bind(self): instance = storage.Instance(name="years") bind = storage.Bind(app_host="something.where.com", instance=instance) self.storage.store_bind(bind) self.addCleanup(self.client.feaas_test.binds.remove, {"instance_name": "years"}) got = self.client.feaas_test.binds.find_one({"instance_name": "years"}) expected = bind.to_dict() expected["_id"] = got["_id"] expected["created_at"] = got["created_at"] self.assertEqual(expected, got) @freezegun.freeze_time("2014-02-16 12:00:01") def test_retrieve_binds(self): instance = storage.Instance(name="years") bind1 = storage.Bind(app_host="something.where.com", instance=instance) self.storage.store_bind(bind1) bind2 = storage.Bind(app_host="belong.where.com", instance=instance) self.storage.store_bind(bind2) self.addCleanup(self.client.feaas_test.binds.remove, {"instance_name": "years"}) binds = self.storage.retrieve_binds(instance_name="years") binds = [b.to_dict() for b in binds] self.assertEqual([bind1.to_dict(), bind2.to_dict()], binds) @freezegun.freeze_time("2014-02-16 12:00:01") def test_retrieve_binds_limit(self): instance = storage.Instance(name="years") bind1 = storage.Bind(app_host="something.where.com", instance=instance) self.storage.store_bind(bind1) bind2 = storage.Bind(app_host="belong.where.com", instance=instance) self.storage.store_bind(bind2) self.addCleanup(self.client.feaas_test.binds.remove, {"instance_name": "years"}) binds = self.storage.retrieve_binds(instance_name="years", limit=1) binds = [b.to_dict() for b in binds] self.assertEqual([bind1.to_dict()], binds) @freezegun.freeze_time("2014-02-16 12:00:01") def test_retrieve_binds_query(self): instance = storage.Instance(name="years") bind1 = storage.Bind(app_host="something.where.com", instance=instance) self.storage.store_bind(bind1) bind2 = storage.Bind(app_host="belong.where.com", instance=instance) self.storage.store_bind(bind2) self.addCleanup(self.client.feaas_test.binds.remove, {"instance_name": "years"}) binds = self.storage.retrieve_binds(app_host="belong.where.com") binds = [b.to_dict() for b in binds] self.assertEqual([bind2.to_dict()], binds) def test_remove_bind(self): instance = storage.Instance(name="years") bind = storage.Bind(app_host="something.where.com", instance=instance) self.storage.store_bind(bind) self.addCleanup(self.client.feaas_test.binds.remove, {"instance_name": "years"}) self.storage.remove_bind(bind) self.assertEqual([], self.storage.retrieve_binds(instance_name="years")) def test_retrieve_units(self): units = [storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800"), storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801"), storage.Unit(dns_name="instance3.cloud.tsuru.io", id="i-0802", state="started")] instance = storage.Instance(name="great", units=units) self.storage.store_instance(instance) self.addCleanup(self.storage.remove_instance, instance.name) got_units = self.storage.retrieve_units(state="creating") self.assertEqual([u.to_dict() for u in units[:2]], [u.to_dict() for u in got_units]) def test_retrieve_units_limited(self): units = [storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800"), storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801"), storage.Unit(dns_name="instance3.cloud.tsuru.io", id="i-0802", state="started")] instance = storage.Instance(name="great", units=units) self.storage.store_instance(instance) self.addCleanup(self.storage.remove_instance, instance.name) got_units = self.storage.retrieve_units(state="creating", limit=1) self.assertEqual([u.to_dict() for u in units[:1]], [u.to_dict() for u in got_units]) def test_update_units(self): units = [storage.Unit(dns_name="instance1.cloud.tsuru.io", id="i-0800"), storage.Unit(dns_name="instance2.cloud.tsuru.io", id="i-0801"), storage.Unit(dns_name="instance3.cloud.tsuru.io", id="i-0802", state="started")] instance = storage.Instance(name="great", units=units) self.storage.store_instance(instance) self.addCleanup(self.storage.remove_instance, instance.name) units[0].state = "started" units[1].state = "started" self.storage.update_units(units, state="started") got_units = self.storage.retrieve_units(state="started") self.assertEqual([u.to_dict() for u in units], [u.to_dict() for u in got_units]) def test_update_bind(self): instance = storage.Instance(name="great") bind = storage.Bind("wat.g1.cloud.tsuru.io", instance) self.storage.store_bind(bind) self.addCleanup(self.storage.remove_bind, bind) self.storage.update_bind(bind, state="created") bind = self.storage.retrieve_binds(instance_name="great")[0] self.assertEqual("created", bind.state) def assert_units(self, expected_units, instance_name): cursor = self.client.feaas_test.units.find({"instance_name": instance_name}) units = [] expected = [u.to_dict() for u in expected_units] for i, unit in enumerate(cursor): expected[i]["_id"] = unit["_id"] units.append(unit) self.assertEqual(expected, units)

48.956186

98

0.653067

2,336

18,995

5.139555

0.072346

0.065967

0.046227

0.058554

0.80693

0.765617

0.72064

0.705897

0.695902

0.647426

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0.020446

0.206949

18,995

387

99

49.082687

0.776553

0.008055

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0.140719

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null

0

1

0

1

0

null

0

5

d37984515653bed94632572aeac9fcd45fc326bc

178

py

Python

hosts/admin.py

SarahLN/pentestTracker

33d0ad7f3e6464e3c105ac151ed1c9bb249d0e42

[ "MIT" ]

null

hosts/admin.py

SarahLN/pentestTracker

33d0ad7f3e6464e3c105ac151ed1c9bb249d0e42

[ "MIT" ]

null

hosts/admin.py

SarahLN/pentestTracker

33d0ad7f3e6464e3c105ac151ed1c9bb249d0e42

[ "MIT" ]

null

from django.contrib import admin from .models import * # Register your models here. admin.site.register(Attribute) admin.site.register(Host) admin.site.register(AttributeType)

19.777778

34

0.803371

24

178

5.958333

0.541667

0.188811

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0.101124

178

9

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true

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1

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null

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1

0

5

6c907fd3cdf9be1c175cf6040b90f709b910c2ac

897

py

Python

auth/libraries/pip-auth/authlib/test/base.py

FinnStutzenstein/openslides-auth-service

edfb247a2398ae69dd5c0ff44e7cdf692b7c1b80

[ "MIT" ]

2

2020-02-29T17:45:50.000Z

2021-03-12T14:20:47.000Z

auth/libraries/pip-auth/authlib/test/base.py

FinnStutzenstein/openslides-auth-service

edfb247a2398ae69dd5c0ff44e7cdf692b7c1b80

[ "MIT" ]

71

2020-04-08T11:08:10.000Z

2022-01-31T12:48:46.000Z

auth/libraries/pip-auth/authlib/test/base.py

FinnStutzenstein/openslides-auth-service

edfb247a2398ae69dd5c0ff44e7cdf692b7c1b80

[ "MIT" ]

5

2020-02-04T10:30:03.000Z

2021-07-29T05:46:10.000Z

import unittest import jwt from ..auth_handler import AuthHandler from .fake_request import FakeRequest from ..constants import USER_ID_PROPERTY from datetime import datetime class BaseTestEnvironment(unittest.TestCase): auth_handler = AuthHandler() fake_request = FakeRequest() def get_invalid_access_token(self): return "bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHBpcmVzSW4iOiIxMG0iLCJzZXNzaW9uSWQiOiI2NjUzYWMwNmJhNjVkYmQzNDE5NTQwOGQ1MDI5NjU1ZSIsInVzZXJJZCI6MSwaWF0IjoxNTk3MTQ5NDI0LCJleHAiOjE1OTcxNTAwMjR9.z21-bSIj_xZAoCbwXTqqf_ODAIEbbeSehYIE33dmYUs" # noqa def get_malified_access_token(self): return "bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHBpcmVzSW4iOiIxMG0iLCJzZXNzaW9uSWQiOiI2NjUzYWMwNmJhNjVkYmQzNDE5NTQwOGQ1MDI5NjU1ZSIsInVzZXJJZCI6MSwiaWF0IxoxNTk3MTQ5NDI0LCJleHAiOjE1OTcxNTAwMjR9.z21-bSIj_xZAoCbwXTqqf_ODAIEbbeSehYIE33dmYUs" # noqa

44.85

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0.871795

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897

11.96875

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0.279373

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0.091416

897

19

262

47.210526

0.883436

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0.532203

0.516384

0

1

0.153846

false

0

0.461538

0.153846

1

0

1

null

0

1

null

0

1

0

5

9f08eb65b1496b3d5e039a3dec6865678b10b9bc

122

py

Python

iotportal/iotview/admin.py

zserg/iotportal

02bbf1b6478fea18d11745e4e2e2b28a01e1a6d5

[ "MIT" ]

null

iotportal/iotview/admin.py

zserg/iotportal

02bbf1b6478fea18d11745e4e2e2b28a01e1a6d5

[ "MIT" ]

null

iotportal/iotview/admin.py

zserg/iotportal

02bbf1b6478fea18d11745e4e2e2b28a01e1a6d5

[ "MIT" ]

null

from django.contrib import admin from .models import IotView, API admin.site.register(IotView) admin.site.register(API)

17.428571

32

0.803279

18

122

5.444444

0.555556

0.183673

0.346939

0

0.106557

122

6

33

20.333333

0.899083

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

9f3fb779101e0c3771467ae1a1d6d3c24ef3e6fc

64

py

Python

ffdl/hello.py

dolph/object-detection-anki-overdrive-cars

f2c2e5cc3bba2aa409e31437d0f73e7e3101c562

[ "Apache-2.0" ]

5

2018-11-30T19:10:25.000Z

2021-01-11T08:32:29.000Z

ffdl/hello.py

thomassuedbroecker/object-detection-anki-overdrive-cars

1494d8ce8ec24257e8e14eb64afb3a42e806ed6c

[ "Apache-2.0" ]

null

ffdl/hello.py

thomassuedbroecker/object-detection-anki-overdrive-cars

1494d8ce8ec24257e8e14eb64afb3a42e806ed6c

[ "Apache-2.0" ]

7

2018-10-09T14:16:54.000Z

2020-06-29T14:18:39.000Z

# import os,sys print("successful execution of a custom image")

16

47

0.765625

10

64

4.9

1

0

0.140625

64

4

47

16

0.890909

0

0.59375

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9f60b4be6e83ed9e7867fd5e02e27fdebe8c7285

108

py

Python

python/testData/inspections/PyStringFormatInspection/EscapedString.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/PyStringFormatInspection/EscapedString.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyStringFormatInspection/EscapedString.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

u"{key}".format(key=1) <warning descr="Key 'k' has no corresponding argument">u"{k}"</warning>.format(key=1)

54

85

0.694444

19

108

3.947368

0.578947

0.24

0.266667

0

0.019802

0.064815

108

2

85

54

0.722772

0

0.412844

0

null

0

null

0

1

0

null

1

0

1

0

null

0

1

0

5

9f6e88000b7c24923c07fbcef186b581dc34695b

55

py

Python

AtC_Beg_Con_071-080/ABC080/A.py

yosho-18/AtCoder

50f6d5c92a01792552c31ac912ce1cd557b06fb0

[ "MIT" ]

null

AtC_Beg_Con_071-080/ABC080/A.py

yosho-18/AtCoder

50f6d5c92a01792552c31ac912ce1cd557b06fb0

[ "MIT" ]

null

AtC_Beg_Con_071-080/ABC080/A.py

yosho-18/AtCoder

50f6d5c92a01792552c31ac912ce1cd557b06fb0

[ "MIT" ]

null

n, a, b = map(int, input().split()) print(min(n * a,b))

27.5

35

0.545455

12

55

2.5

0.75

0.133333

0.2

0

0.145455

55

2

36

27.5

0.638298

0

1

0

true

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

9f99375e36a874444daf07ba5300bcd3f1fbad64

438

py

Python

website/views.py

H0R4T1U/Nebula

d58c107d0ac71471d7bc2b0fbf7754e6dcaae1e4

[ "MIT" ]

2

2021-09-13T20:43:38.000Z

2021-09-14T18:31:45.000Z

website/views.py

H0R4T1U/website

d58c107d0ac71471d7bc2b0fbf7754e6dcaae1e4

[ "MIT" ]

null

website/views.py

H0R4T1U/website

d58c107d0ac71471d7bc2b0fbf7754e6dcaae1e4

[ "MIT" ]

null

from django.shortcuts import render def error_400(request, exception): return render(request,'error/400.html', status=400) def error_403(request, exception): return render(request,'error/403.html', status=403) def error_404(request, exception): return render(request,'error/404.html', status=404) def error_500(request, *args, **kwargs): return render(request,'error/500.html', status=500)

25.764706

59

0.694064

58

438

5.172414

0.310345

0.106667

0.253333

0.32

0.4

0

0.099723

0.175799

438

16

60

27.375

0.731302

0

0.128146

0

1

0.444444

false

0

0.111111

0.444444

1

0

null

0

1

0

null

0

1

0

1

0

5

9fa037c006c73a3c26b43033dfc3c6e86017cfa8

75

py

Python

resource/util.py

TintypeMolly/Yuzuki

94dc874c4000ac918f0b52846927311b3f25ce2c

[ "MIT" ]

6

2015-01-09T06:32:15.000Z

2015-08-15T13:23:34.000Z

resource/util.py

TintypeMolly/Yuzuki

94dc874c4000ac918f0b52846927311b3f25ce2c

[ "MIT" ]

73

2015-01-08T11:38:34.000Z

2015-09-10T09:55:08.000Z

resource/util.py

TintypeMolly/Yuzuki

94dc874c4000ac918f0b52846927311b3f25ce2c

[ "MIT" ]

11

2015-01-09T06:26:12.000Z

2015-03-26T13:16:19.000Z

# -*- coding: utf-8 -*- from helper.resource import YuzukiResource # noqa

25

50

0.693333

9

75

5.777778

1

0

0.015873

0.16

75

2

51

37.5

0.809524

0.346667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9fa2d95062e24d1bf7b364f90f945908f2e014eb

150

py

Python

modules/wakachi/mecab.py

0-jam/markovify_my_tweets

885dc7cf4d6ee583548caf496752d26d82796bdb

[ "Apache-2.0" ]

null

modules/wakachi/mecab.py

0-jam/markovify_my_tweets

885dc7cf4d6ee583548caf496752d26d82796bdb

[ "Apache-2.0" ]

1

2019-12-05T06:08:35.000Z

modules/wakachi/mecab.py

0-jam/regen_my_sentences

885dc7cf4d6ee583548caf496752d26d82796bdb

[ "Apache-2.0" ]

null

import MeCab m = MeCab.Tagger('-Owakati') # Split sentence by word def divide_word(sentence): return m.parse(sentence).strip().split()

16.666667

45

0.673333

20

150

5

0.7

0

0.193333

150

8

46

18.75

0.826446

0.146667

0

0.067797

0

1

0.25

false

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

4c9468b96939fcba835086670ae19ea03878315c

135

py

Python

examples/usage/simple_injectable/factories.py

pauleveritt/wired_injector

0358ed70572b4add8349d9dbde89269046d3a60d

[ "MIT" ]

1

2021-01-08T23:56:57.000Z

examples/usage/simple_injectable/factories.py

pauleveritt/wired_injector

0358ed70572b4add8349d9dbde89269046d3a60d

[ "MIT" ]

null

examples/usage/simple_injectable/factories.py

pauleveritt/wired_injector

0358ed70572b4add8349d9dbde89269046d3a60d

[ "MIT" ]

null

from dataclasses import dataclass from wired_injector import injectable @injectable() @dataclass class View: name: str = 'View'

13.5

37

0.762963

16

135

6.375

0.6875

0

0.17037

135

9

38

15

0.910714

0

0.02963

0

1

0

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4ce2ebacb1fd58bfa29294f3e9286426605104c6

1,446

py

Python

sequence_models/HMM/forward_backward.py

Elixeus/NLP

ba4fc5ce1c12b72ee39d0d1cc9fa415198ee0791

[ "MIT" ]

null

sequence_models/HMM/forward_backward.py

Elixeus/NLP

ba4fc5ce1c12b72ee39d0d1cc9fa415198ee0791

[ "MIT" ]

null

sequence_models/HMM/forward_backward.py

Elixeus/NLP

ba4fc5ce1c12b72ee39d0d1cc9fa415198ee0791

[ "MIT" ]

null

import numpy as np def forward_backward(): """Hidden Markov models need to solve 3 fundamental problems: 1. For a given HMM model M and an observation sequence O, what is the likelihood of P(O|M); 2. For a given HMM model M and an observation sequence O, what is the best hidden state sequence Q(think of O as words, and Q as syntactic categories); 3. For an observation sequence O, and the set of hidden states, learn the HMM parameters A and B; the forward_backward algorithm (aka Baum-Welch algorithm) gives an answer to the 3rd question: how to learn the parameters A and B of the model lambda given the observation sequence O and the set of hidden states. The forward_backward algorithm is a special case of the Expectation Maximization algorithm. It's an iterative algorithm. It starts with an estimate of the transitional probability matrix A and an emission probability matrix B, and derive better probability with the initial estimates going through iterations. There are 2 intuitions behind the forward_backward algorithm: 1. iteratively estimate the counts; 2. compute the forward probability for an observation for the estimated probabilities, and divide the probability mass among all paths that contributed to this forward probability. Backward probability beta: the probability of seeing the observations from time t+1 to the end, given state i at time t and model lambda Beta_t_i = P(O_t+1, O_t+2...Ot|q_t =i, lambda)"""

90.375

523

0.795297

249

1,446

4.582329

0.421687

0.052585

0.070114

0.057844

0.166521

0.091148

0

0.009114

0.165284

1,446

15

524

96.4

0.936205

0.961272

0

1

0.5

true

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e21bcb824d2b3689530830542795280fee83cbaa

74

py

Python

workspace/module/python-2.7/LxApp/appObjects/__init__.py

no7hings/Lynxi

43c745198a714c2e5aca86c6d7a014adeeb9abf7

[ "MIT" ]

2

2018-03-06T03:33:55.000Z

2019-03-26T03:25:11.000Z

workspace/module/python-2.7/LxApp/appObjects/__init__.py

no7hings/lynxi

43c745198a714c2e5aca86c6d7a014adeeb9abf7

[ "MIT" ]

null

workspace/module/python-2.7/LxApp/appObjects/__init__.py

no7hings/lynxi

43c745198a714c2e5aca86c6d7a014adeeb9abf7

[ "MIT" ]

null

# coding:utf-8 from ._appObjToolkit import * from ._appObjCache import *

14.8

29

0.756757

9

74

6

0.777778

0

0.015873

0.148649

74

4

30

18.5

0.84127

0.162162

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e2247e49a7bbac53b38c11d6029771b508440423

1,030

py

Python

jparse/json_actions.py

aedwardg/json-parser

264f62a59ca96505957bc6b4937cec07f5eb9d30

[ "MIT" ]

null

jparse/json_actions.py

aedwardg/json-parser

264f62a59ca96505957bc6b4937cec07f5eb9d30

[ "MIT" ]

null

jparse/json_actions.py

aedwardg/json-parser

264f62a59ca96505957bc6b4937cec07f5eb9d30

[ "MIT" ]

null

from parglare import get_collector from parglare.actions import pass_inner action = get_collector() # Non-terminal rule actions @action("Array") def array_action(context, nodes): return pass_inner(context, nodes) @action("Object") def object_action(context, nodes): # Objects look like this before action: # ['{', [['key', ':', 'value'], ['key', ':', 'value'], ...], '}'] if len(nodes) > 2: members = nodes[1:-1][0] return {member[0]: member[2] for member in members} else: return {} @action("String") def string_action(context, nodes): str = pass_inner(context, nodes) return str if str else "" # Terminal Rule actions @action("INT") def int_action(context, value): return int(value) @action("FLOAT") def float_action(context, value): return float(value) @action("NULL") def null_action(context, value): return None @action("TRUE") def true_action(context, value): return True @action("FALSE") def false_action(context, value): return False

19.433962

69

0.659223

134

1,030

4.970149

0.320896

0.156156

0.135135

0.18018

0

0.007194

0.190291

1,030

52

70

19.807692

0.791367

0.14466

0

0.043379

0

1

0.25

false

0.09375

0.0625

0.1875

0.59375

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e24dc05437f42fe2fc24f9eca2ee2e3e456028b5

272

py

Python

RepositoryWalkers/RepositoryWalker.py

Christian-Nunnally/git-chains

cd83f3620424bc96b3ef06d2971c4e65d5ce1ba5

[ "MIT" ]

null

RepositoryWalkers/RepositoryWalker.py

Christian-Nunnally/git-chains

cd83f3620424bc96b3ef06d2971c4e65d5ce1ba5

[ "MIT" ]

null

RepositoryWalkers/RepositoryWalker.py

Christian-Nunnally/git-chains

cd83f3620424bc96b3ef06d2971c4e65d5ce1ba5

[ "MIT" ]

null

from pygit2 import GIT_SORT_TOPOLOGICAL class RepositoryWalker: def __init__(self, repository): self.repository = repository def walk(self, branch): for commit in self.repository.walk(branch.target, GIT_SORT_TOPOLOGICAL): yield commit

30.222222

80

0.716912

32

272

5.84375

0.59375

0.224599

0.192513

0

0.004695

0.216912

272

9

81

30.222222

0.873239

0

1

0.285714

false

0

0.142857

0

0.571429

0

null

1

0

1

0

null

0

1

0

1

0

5

e29f0839b7ddc3b6d1402aaadbe74064d0d5b2ef

161

py

Python

openfl/__init__.py

sarthakpati/openfl

8edebfd565d94f709a7d7f06d9ee38a7975c066e

[ "Apache-2.0" ]

297

2021-01-13T08:49:35.000Z

2022-03-31T15:06:43.000Z

openfl/__init__.py

sarthakpati/openfl

8edebfd565d94f709a7d7f06d9ee38a7975c066e

[ "Apache-2.0" ]

265

2021-02-02T09:57:33.000Z

2022-03-30T22:51:55.000Z

openfl/__init__.py

sarthakpati/openfl

8edebfd565d94f709a7d7f06d9ee38a7975c066e

[ "Apache-2.0" ]

81

2021-01-18T07:52:36.000Z

2022-03-26T18:55:54.000Z

26.833333

43

0.757764

21

161

5.428571

0.952381

0

0.077465

0.118012

161

5

44

32.2

0.725352

0.695652

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2c34cc4592c13b6180c0944222f534e7de5a3f54

15,328

py

Python

test/unit/mongo_rep_admin/run_program.py

mjpernot/mongo-rep-admin

5019325eb9e91cf3fcad6744ebd1681401695f81

[ "MIT" ]

null

test/unit/mongo_rep_admin/run_program.py

mjpernot/mongo-rep-admin

5019325eb9e91cf3fcad6744ebd1681401695f81

[ "MIT" ]

null

test/unit/mongo_rep_admin/run_program.py

mjpernot/mongo-rep-admin

5019325eb9e91cf3fcad6744ebd1681401695f81

[ "MIT" ]

null

#!/usr/bin/python # Classification (U) """Program: run_program.py Description: Unit testing of run_program in mongo_rep_admin.py. Usage: test/unit/mongo_rep_admin/run_program.py Arguments: """ # Libraries and Global Variables # Standard import sys import os if sys.version_info < (2, 7): import unittest2 as unittest else: import unittest # Third-party import mock # Local sys.path.append(os.getcwd()) import mongo_rep_admin import lib.gen_libs as gen_libs import version __version__ = version.__version__ def fetch_priority(repset, args_array, **kwargs): """Function: fetch_priority Description: Stub holder for mongo_rep_admin.fetch_priority function. Arguments: (input) repset -> Replication set instance. (input) args_array -> Array of command line options and values. """ err_msg = "Error Message" mail = kwargs.get("mail", None) status = (False, err_msg) if args_array and repset and mail: status = (False, err_msg) return status def prt_rep_stat(repset, args_array, **kwargs): """Function: prt_rep_stat Description: Stub holder for mongo_rep_admin.prt_rep_stat function. Arguments: (input) repset -> Replication set instance. (input) args_array -> Array of command line options and values. """ mail = kwargs.get("mail", None) status = (True, None) if args_array and repset and mail: status = (True, None) return status class Coll(object): """Class: Coll Description: Class stub holder for mongo_class.Coll class. Methods: __init__ connect coll_cnt coll_find1 """ def __init__(self): """Method: __init__ Description: Class initialization. Arguments: """ self.count = 1 self.conn = True self.errmsg = None def connect(self): """Method: connect Description: Stub holder for mongo_class.Coll.connect method. Arguments: """ return self.conn, self.errmsg def coll_cnt(self): """Method: coll_cnt Description: Stub holder for mongo_class.Coll.coll_cnt method. Arguments: """ return self.count def coll_find1(self): """Method: coll_find1 Description: Stub holder for mongo_class.Coll.coll_find1 method. Arguments: """ return {"_id": "RepSetName"} class RepSet(object): """Class: RepSet Description: Class stub holder for mongo_class.RepSet class. Methods: __init__ connect """ def __init__(self): """Method: __init__ Description: Class initialization. Arguments: """ self.name = "name" self.user = "user" self.japd = None self.host = "host" self.port = 27017 self.auth = "auth" self.conf_file = "conffile" self.auth_db = "authentication_db" self.use_arg = True self.use_uri = False self.conn = True self.errmsg = None def connect(self): """Method: connect Description: Stub holder for mongo_class.RepSet.connect method. Arguments: """ return self.conn, self.errmsg class CfgTest(object): """Class: CfgTest Description: Class which is a representation of a cfg module. Methods: __init__ """ def __init__(self): """Method: __init__ Description: Initialization instance of the CfgTest class. Arguments: """ self.name = "name" self.user = "user" self.japd = None self.host = "host" self.port = 27017 self.auth = "auth" self.conf_file = "conffile" self.repset = "repsetname" self.repset_hosts = "localhost:27017,localhost:27016" self.auth_db = "authentication_db" self.use_arg = True self.use_uri = False class CfgTest2(object): """Class: CfgTest Description: Class which is a representation of a cfg module. Methods: __init__ """ def __init__(self): """Method: __init__ Description: Initialization instance of the CfgTest class. Arguments: """ self.name = "name" self.user = "user" self.japd = None self.host = "host" self.port = 27017 self.auth = "auth" self.conf_file = "conffile" self.repset = "repsetname" self.repset_hosts = "localhost:27017,localhost:27016" self.auth_db = "authentication_db" self.use_arg = True self.use_uri = False self.auth_mech = "SCRAM-SHA-1" class UnitTest(unittest.TestCase): """Class: UnitTest Description: Class which is a representation of a unit testing. Methods: setUp test_func_no_error test_func_error test_auth_mech test_no_auth_mech test_failed_conn_repset test_successful_conn_repset test_failed_conn_coll test_successful_conn_coll test_repset_not_set test_email test_replication test_no_replication """ def setUp(self): """Function: setUp Description: Initialization for unit testing. Arguments: """ self.server = CfgTest() self.server2 = CfgTest() self.server2.repset = None self.server3 = CfgTest2() self.repset = RepSet() self.coll = Coll() self.err_msg = "Error Message" self.args_array = {"-T": True, "-c": "config", "-d": "dirpath"} self.args_array2 = {"-T": True, "-c": "config", "-d": "dirpath", "-e": "Email_Address"} self.args_array3 = {"-P": True, "-c": "config", "-d": "dirpath"} self.func_dict = {"-P": fetch_priority, "-T": prt_rep_stat} @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_func_no_error(self, mock_coll, mock_repset, mock_load): """Function: test_func_no_error Description: Test with no error returned from function call. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server3 self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_func_error(self, mock_coll, mock_repset, mock_load): """Function: test_func_error Description: Test with error returned from function call. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server3 with gen_libs.no_std_out(): self.assertFalse(mongo_rep_admin.run_program(self.args_array3, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_auth_mech(self, mock_coll, mock_repset, mock_load): """Function: test_auth_mech Description: Test with auth_mech passed. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server3 self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_no_auth_mech(self, mock_coll, mock_repset, mock_load): """Function: test_no_auth_mech Description: Test with no auth_mech passed. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_failed_conn_repset(self, mock_coll, mock_repset, mock_load): """Function: test_failed_conn_repset Description: Test with failed connection. Arguments: """ self.repset.conn = False self.repset.errmsg = self.err_msg mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server with gen_libs.no_std_out(): self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_successful_conn_repset(self, mock_coll, mock_repset, mock_load): """Function: test_successful_conn_repset Description: Test with successful connection. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_failed_conn_coll(self, mock_coll, mock_load): """Function: test_failed_conn_coll Description: Test with failed connection. Arguments: """ self.coll.conn = False self.coll.errmsg = self.err_msg mock_coll.return_value = self.coll mock_load.return_value = self.server with gen_libs.no_std_out(): self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_successful_conn_coll(self, mock_coll, mock_repset, mock_load): """Function: test_successful_conn_coll Description: Test with successful connection. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_repset_not_set(self, mock_coll, mock_repset, mock_load): """Function: test_repset_not_set Description: Test with repset name not set in config. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server2 self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_class.setup_mail") @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_email(self, mock_coll, mock_repset, mock_load, mock_mail): """Function: test_email Description: Test with setting up email. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server mock_mail.return_value = "Mail Instance" self.assertFalse(mongo_rep_admin.run_program(self.args_array2, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.prt_msg", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_no_replication(self, mock_coll, mock_load): """Function: test_no_replication Description: Test with no replication setup. Arguments: """ self.coll.count = 0 mock_coll.return_value = self.coll mock_load.return_value = self.server self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) @mock.patch("mongo_rep_admin.mongo_libs.disconnect", mock.Mock(return_value=True)) @mock.patch("mongo_rep_admin.gen_libs.load_module") @mock.patch("mongo_rep_admin.mongo_class.RepSet") @mock.patch("mongo_rep_admin.mongo_class.Coll") def test_replication(self, mock_coll, mock_repset, mock_load): """Function: test_replication Description: Test with replication setup. Arguments: """ mock_coll.return_value = self.coll mock_repset.return_value = self.repset mock_load.return_value = self.server self.assertFalse(mongo_rep_admin.run_program(self.args_array, self.func_dict)) if __name__ == "__main__": unittest.main()

26.023769

77

0.620042

1,829

15,328

4.881356

0.089666

0.058244

0.094646

0.091398

0.799843

0.77957

0.761089

0.722334

0.690636

0.676075

0

0.005279

0.283207

15,328

588

78

26.068027

0.807318

0.222664

0

0.726891

0

0.18433

0.157244

0

0.05042

1

0.096639

false

0

0.033613

0

0.176471

0

null

0

1

0

1

0

1

0

null

0

5

2c3533726cb7a7a534315422701547ebb93b79c2

40

py

Python

run.py

leovp/scrnshot

e5fa739663977955b072a1ae714935e5e4f1fa35

[ "MIT" ]

1

2017-11-22T22:14:12.000Z

run.py

leovp/scrnshot

e5fa739663977955b072a1ae714935e5e4f1fa35

[ "MIT" ]

null

run.py

leovp/scrnshot

e5fa739663977955b072a1ae714935e5e4f1fa35

[ "MIT" ]

null

from scrnshot.bot import bot bot.run()

10

28

0.75

7

40

4.285714

0.714286

0

0.15

40

3

29

13.333333

0.882353

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2c3b4316633c3668e9bd17318591fbc626f25995

988

py

Python

tests/gates/rz/test_update.py

edyounis/QFactor

8ce255b432157e2a0d4e91e0a8c4be0ef4f60a74

[ "BSD-3-Clause-LBNL" ]

3

2020-12-15T17:14:13.000Z

2020-12-17T11:35:37.000Z

tests/gates/rz/test_update.py

edyounis/qFactor

8ce255b432157e2a0d4e91e0a8c4be0ef4f60a74

[ "BSD-3-Clause-LBNL" ]

null

tests/gates/rz/test_update.py

edyounis/qFactor

8ce255b432157e2a0d4e91e0a8c4be0ef4f60a74

[ "BSD-3-Clause-LBNL" ]

null

import numpy as np import unittest as ut from qfactor.gates import RzGate class TestRzGateUpdate ( ut.TestCase ): def test_rzgate_update_1 ( self ): env = RzGate( np.pi/3, 0 ).utry gate = RzGate( 0., 0 ) gate.update( env, 0 ) self.assertTrue( np.allclose( gate.theta, -np.pi/3 ) ) def test_rzgate_update_2 ( self ): env = RzGate( 2*np.pi/3, 0 ).utry gate = RzGate( 0., 0 ) gate.update( env, 0 ) self.assertTrue( np.allclose( gate.theta, -2*np.pi/3 ) ) def test_rzgate_update_3 ( self ): env = RzGate( -2*np.pi/3, 0 ).utry gate = RzGate( 0., 0 ) gate.update( env, 0 ) self.assertTrue( np.allclose( gate.theta, 2*np.pi/3 ) ) def test_rzgate_update_4 ( self ): env = RzGate( -np.pi/3, 0 ).utry gate = RzGate( 0., 0 ) gate.update( env, 0 ) self.assertTrue( np.allclose( gate.theta, np.pi/3 ) ) if __name__ == '__main__': ut.main()

26.702703

64

0.566802

146

988

3.69863

0.219178

0.059259

0.074074

0.140741

0.757407

0.722222

0

0.045911

0.294534

988

36

65

27.444444

0.728838

0

0.307692

0

0.008105

0

0.153846

1

0.153846

false

0

0.115385

0

0.307692

0

null

0

1

0

null

0

5

2c4755fde76bb8498a6a624286ce758b14f8f856

156

py

Python

data_structures/node.py

kgantsov/data_structures_and_algorithms_py

10c60ea10b999bf23ba821c764d712181702c9eb

[ "MIT" ]

null

data_structures/node.py

kgantsov/data_structures_and_algorithms_py

10c60ea10b999bf23ba821c764d712181702c9eb

[ "MIT" ]

null

data_structures/node.py

kgantsov/data_structures_and_algorithms_py

10c60ea10b999bf23ba821c764d712181702c9eb

[ "MIT" ]

null

class Node: data = None next = None def __init__(self, data): self.data = data def __repr__(self): return str(self.data)

14.181818

29

0.564103

20

156

4

0.55

0.3

0

0.339744

156

10

30

15.6

0.776699

0

1

0.285714

false

0

0.142857

0.857143

0

1

0

null

1

0

null

0

1

0

1

0

5

2c5b8865f11cec8bf90fb76dde7499bfe646d0e1

78

py

Python

MeinProgramm.py

ritschmaster/LaTeX-Template

6f8070d6e11ed6453b605cf6acac985edd02b8c1

[ "Apache-2.0" ]

null

MeinProgramm.py

ritschmaster/LaTeX-Template

6f8070d6e11ed6453b605cf6acac985edd02b8c1

[ "Apache-2.0" ]

null

MeinProgramm.py

ritschmaster/LaTeX-Template

6f8070d6e11ed6453b605cf6acac985edd02b8c1

[ "Apache-2.0" ]

1

2020-11-27T13:30:06.000Z

print("Hallo Welt") print("Dieser Teil wird nicht mehr von Latex angezeigt")

19.5

56

0.75641

12

78

4.916667

0.916667

0

0.141026

78

3

57

26

0.880597

0

0.74026

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

2c63b480790e355ebdac2005e2ad08316141ec31

34

py

Python

test/fixtures/python/corpus/generator-expression.B.py

matsubara0507/semantic

67899f701abc0f1f0cb4374d8d3c249afc33a272

[ "MIT" ]

8,844

2019-05-31T15:47:12.000Z

2022-03-31T18:33:51.000Z

test/fixtures/python/corpus/generator-expression.B.py

matsubara0507/semantic

67899f701abc0f1f0cb4374d8d3c249afc33a272

[ "MIT" ]

401

2019-05-31T18:30:26.000Z

2022-03-31T16:32:29.000Z

test/fixtures/python/corpus/generator-expression.B.py

matsubara0507/semantic

67899f701abc0f1f0cb4374d8d3c249afc33a272

[ "MIT" ]

504

2019-05-31T17:55:03.000Z

2022-03-30T04:15:04.000Z

(f for e in d) (c + 1 for b in a)

11.333333

18

0.5

11

34

1.545455

0.818182

0

0.045455

0.352941

34

2

19

17

0.727273

0

1

0

true

0

1

null

0

1

0

null

0

1

0

5

2c8dd7a0906586594b22f2a367bf8f23a40ebb50

47

py

Python

ScopeReaders/__version__.py

smisra87/ScopeReaders

bfce7944a9d005d6ae03923e6b5767056fb3326b

[ "MIT" ]

null

ScopeReaders/__version__.py

smisra87/ScopeReaders

bfce7944a9d005d6ae03923e6b5767056fb3326b

[ "MIT" ]

null

ScopeReaders/__version__.py

smisra87/ScopeReaders

bfce7944a9d005d6ae03923e6b5767056fb3326b

[ "MIT" ]

null

version = '0.0.0' time = '2020-08-30 10:00:25'

15.666667

28

0.595745

11

47

2.545455

0.818182

0.142857

0

0.425

0.148936

47

2

29

23.5

0.275

0

0.510638

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

2ca0691a0f59c16ae663b12d259cba7fe3b4754a

152

py

Python

app/constants.py

HealYouDown/flo-league

c729cad1daddfb89e997c101bd2da505b7137d98

[ "MIT" ]

null

app/constants.py

HealYouDown/flo-league

c729cad1daddfb89e997c101bd2da505b7137d98

[ "MIT" ]

3

2021-05-03T19:05:11.000Z

2021-06-12T09:43:02.000Z

app/constants.py

HealYouDown/flo-league

c729cad1daddfb89e997c101bd2da505b7137d98

[ "MIT" ]

null

import datetime K = 50 SEASON = 5 FIRST_DATE = datetime.datetime(year=2021, month=8, day=1) LAST_DATE = datetime.datetime(year=2021, month=9, day=19)

19

57

0.736842

26

152

4.230769

0.653846

0.218182

0.363636

0.436364

0.6

0

0.121212

0.131579

152

7

58

21.714286

0.712121

0

1

0

false

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

5

2ca8918fcf648899bb6628ea1c0dc9f552da7998

159

py

Python

pylib/commons.py

namikazebadri/PythonLibrary

ed0b4e03761ac91ddc54504a61dad450f70dc7cb

[ "MIT" ]

null

pylib/commons.py

namikazebadri/PythonLibrary

ed0b4e03761ac91ddc54504a61dad450f70dc7cb

[ "MIT" ]

null

pylib/commons.py

namikazebadri/PythonLibrary

ed0b4e03761ac91ddc54504a61dad450f70dc7cb

[ "MIT" ]

null

class Mannerism: def __init__(self, name="John Doe"): self.name = name def create(self): return f"Hi {self.name}, how are you today?"

22.714286

52

0.603774

23

159

4

0.695652

0.26087

0

0.27044

159

6

53

26.5

0.793103

0

0.264151

0

1

0.4

false

0

0.2

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

2cb667ddfd28ecc55067102c40798290b3990be3

45

py

Python

dsw_data_seeder/__main__.py

ds-wizard/data-seeder

27540e117ab881ee38373255a18072a30b1a9a50

[ "Apache-2.0" ]

null

dsw_data_seeder/__main__.py

ds-wizard/data-seeder

27540e117ab881ee38373255a18072a30b1a9a50

[ "Apache-2.0" ]

null

dsw_data_seeder/__main__.py

ds-wizard/data-seeder

27540e117ab881ee38373255a18072a30b1a9a50

[ "Apache-2.0" ]

null

from dsw_data_seeder.cli import main main()

11.25

36

0.8

8

45

4.25

0.875

0

0.133333

45

3

37

15

0.871795

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2ccf85406f494a1eb1bad5fbb9817f244399d2fe

33

py

Python

update_list.py

P4tches/CVE-NewsList

4a2ad1602b58fdd2b25704fbe5d329780a5acee2

[ "MIT" ]

null

update_list.py

P4tches/CVE-NewsList

4a2ad1602b58fdd2b25704fbe5d329780a5acee2

[ "MIT" ]

null

update_list.py

P4tches/CVE-NewsList

4a2ad1602b58fdd2b25704fbe5d329780a5acee2

[ "MIT" ]

null

from api import * downloadCVE()

8.25

17

0.727273

4

33

6

1

0

0.181818

33

3

18

11

0.888889

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e2f17cb05119523145f846ac34c7f14539605cca

58

py

Python

QCGym/fidelities/__init__.py

oddgr8/QCGym

66bebe0b4bd5f56e59a161dca3a3121e74b96751

[ "MIT" ]

null

QCGym/fidelities/__init__.py

oddgr8/QCGym

66bebe0b4bd5f56e59a161dca3a3121e74b96751

[ "MIT" ]

null

QCGym/fidelities/__init__.py

oddgr8/QCGym

66bebe0b4bd5f56e59a161dca3a3121e74b96751

[ "MIT" ]

null

from QCGym.fidelities.trace_fidelity import TraceFidelity

29

57

0.896552

7

58

7.285714

1

0

0.068966

58

1

58

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e2f55eabc89f4c1ccd7dd63d20bef02d73fb9aa8

112

py

Python

scripts/python/install-config.py

jaykrell/cm3

2aae7d9342b8e26680f6419f9296450fae8cbd4b

[ "BSD-4-Clause-UC", "BSD-4-Clause", "BSD-3-Clause" ]

105

2015-03-02T16:58:34.000Z

2022-03-28T07:17:49.000Z

scripts/python/install-config.py

jaykrell/cm3

2aae7d9342b8e26680f6419f9296450fae8cbd4b

[ "BSD-4-Clause-UC", "BSD-4-Clause", "BSD-3-Clause" ]

145

2015-03-18T10:08:17.000Z

2022-03-31T01:27:08.000Z

scripts/python/install-config.py

jaykrell/cm3

2aae7d9342b8e26680f6419f9296450fae8cbd4b

[ "BSD-4-Clause-UC", "BSD-4-Clause", "BSD-3-Clause" ]

26

2015-10-10T09:37:44.000Z

2022-02-23T02:02:05.000Z

#! /usr/bin/env python2 import sys import pylib from pylib import * CopyConfigForDevelopment() or sys.exit(1)

14

41

0.758929

16

112

5.3125

0.75

0

0.020833

0.142857

112

7

42

16

0.864583

0.196429

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1a603d5aa602908ad78900cfcedf7ba51eb5ae2b

119

py

Python

7KYU/vowel_change.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

4

2021-07-17T22:48:03.000Z

2022-03-25T14:10:58.000Z

7KYU/vowel_change.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

null

7KYU/vowel_change.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

3

2021-06-14T14:18:16.000Z

2022-03-16T06:02:02.000Z

def vowel_change(txt: str, vow: str) -> str: return ''.join(i.replace(i, vow) if i in 'aeiou' else i for i in txt)

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1a9d495d82cad46cf054114b927665ab2675b277

6,194

py

Python

jason.py

ismaeelakram/jason-python

25fef76a527382521f995001335b771a5ba13a60

[ "MIT" ]

null

jason.py

ismaeelakram/jason-python

25fef76a527382521f995001335b771a5ba13a60

[ "MIT" ]

null

jason.py

ismaeelakram/jason-python

25fef76a527382521f995001335b771a5ba13a60

[ "MIT" ]

null

import os import sys import hashlib import argparse import datetime class Jason: def __init__(self): pass def characterize(string): return [char for char in string] def detect_hash(hash): if(len(hash) == 32): hashmethod = 'md5' elif(len(hash) == 40): hashmethod = 'sha1' elif(len(hash) == 64): hashmethod = 'sha256' elif(len(hash) == 96): hashmethod = 'sha384' elif(len(hash) == 128): hashmethod = 'sha512' else: hashmethod = 'none' return hashmethod def commence(): print(f"Starting attack | {datetime.datetime.now()}") @staticmethod def brute(hash): alphabet = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890 !@#$%^&*;" hashmethod = Jason.detect_hash(hash) if(hashmethod == 'none'): print('Hash type not detected. Aborting.') return None else: print(f'Hash type detected: {hashmethod.upper()}') Jason.commence() while True: for l in alphabet: if(hashlib.md5(l.encode('utf-8')).hexdigest() == hash): return l for l in alphabet: for l2 in alphabet: if(hashlib.md5(f'{l}{l2}'.encode('utf-8')).hexdigest() == hash): return l + l2 for l in alphabet: for l2 in alphabet: for l3 in alphabet: if(hashlib.md5(f'{l}{l2}{l3}'.encode('utf-8')).hexdigest() == hash): return l + l2 + l3 for l in alphabet: for l2 in alphabet: for l3 in alphabet: for l4 in alphabet: if(hashlib.md5(f'{l}{l2}{l3}{l4}'.encode('utf-8')).hexdigest() == hash): return l + l2 + l3 + l4 for l in alphabet: for l2 in alphabet: for l3 in alphabet: for l4 in alphabet: for l5 in alphabet: if(hashlib.md5(f'{l}{l2}{l3}{l4}{l5}'.encode('utf-8')).hexdigest() == hash): return l + l2 + l3 + l4 + l5 for l in alphabet: for l2 in alphabet: for l3 in alphabet: for l4 in alphabet: for l5 in alphabet: for l6 in alphabet: if(hashlib.md5(f'{l}{l2}{l3}{l4}{l5}{l6}'.encode('utf-8')).hexdigest() == hash): return l + l2 + l3 + l4 + l5 + l6 for l in alphabet: for l2 in alphabet: for l3 in alphabet: for l4 in alphabet: for l5 in alphabet: for l6 in alphabet: for l7 in alphabet: if(hashlib.md5(f'{l}{l2}{l3}{l4}{l5}{l6}{l7}'.encode('utf-8')).hexdigest() == hash): return l + l2 + l3 + l4 + l5 + l6 + l7 for l in alphabet: for l2 in alphabet: for l3 in alphabet: for l4 in alphabet: for l5 in alphabet: for l6 in alphabet: for l7 in alphabet: for l8 in alphabet: if(hashlib.md5(f'{l}{l2}{l3}{l4}{l5}{l6}{l7}{l8}'.encode('utf-8')).hexdigest() == hash): return l + l2 + l3 + l4 + l5 + l6 + l7 + l8 @staticmethod def dictionary_attack(hash, passlist): hashmethod = Jason.detect_hash(hash) if(hashmethod == 'none'): print('Hash type not detected. Aborting.') return None else: print(f'Hash type detected: {hashmethod.upper()}') for password in passlist: if(hashmethod == 'md5'): newhash = hashlib.md5(password.encode('utf-8')).hexdigest() if newhash == hash: return password elif newhash.upper() == hash: return password elif newhash.lower() == hash: return password if(hashmethod == 'sha1'): newhash = hashlib.sha1(password.encode('utf-8')).hexdigest() if newhash == hash: return password elif newhash.upper() == hash: return password elif newhash.lower() == hash: return password if(hashmethod == 'sha256'): newhash = hashlib.sha256(password.encode('utf-8')).hexdigest() if newhash == hash: return password elif newhash.upper() == hash: return password elif newhash.lower() == hash: return password if(hashmethod == 'sha384'): newhash = hashlib.sha384(password.encode('utf-8')).hexdigest() if newhash == hash: return password elif newhash.upper() == hash: return password elif newhash.lower() == hash: return password if(hashmethod == 'sha512'): newhash = hashlib.sha512(password.encode('utf-8')).hexdigest() if newhash == hash: return password elif newhash.upper() == hash: return password elif newhash.lower() == hash: return password

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5

2025f212bb41116c3b0ce7b02ced5555654ad2fb

153

py

Python

tests/helpers/django_project/api/exceptions.py

hyperleex/dependencies

188843f616670a90e5e4a4c48b2fb954a460c2ee

[ "BSD-2-Clause" ]

null

tests/helpers/django_project/api/exceptions.py

hyperleex/dependencies

188843f616670a90e5e4a4c48b2fb954a460c2ee

[ "BSD-2-Clause" ]

null

tests/helpers/django_project/api/exceptions.py

hyperleex/dependencies

188843f616670a90e5e4a4c48b2fb954a460c2ee

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- class NegotiationError(Exception): pass class VersionError(Exception): pass class MetadataError(Exception): pass

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null

1

0

null

0

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5

2037aa53889f56db0468fed98d3b4c776e41636a

28

py

Python

test/login.py

bai649464605/python_flask

1d3a17d33b5128fe97f82ecfb35cd06c03386999

[ "MIT" ]

null

test/login.py

bai649464605/python_flask

1d3a17d33b5128fe97f82ecfb35cd06c03386999

[ "MIT" ]

null

test/login.py

bai649464605/python_flask

1d3a17d33b5128fe97f82ecfb35cd06c03386999

[ "MIT" ]

null

num1=110 num2=220 num3=333

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1

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null

0

5

2048d0857819bafe7ca4e5f556fd5aefffd23c87

172

py

Python

test_project/spotify/test_command.py

justanotheruser/ubex_test_job

2a63fb6e17c4771c3ed1088dd4a9b32057e59ad7

[ "WTFPL" ]

null

test_project/spotify/test_command.py

justanotheruser/ubex_test_job

2a63fb6e17c4771c3ed1088dd4a9b32057e59ad7

[ "WTFPL" ]

6

2021-03-19T02:56:42.000Z

2021-09-22T18:58:42.000Z

test_project/spotify/test_command.py

justanotheruser/ubex_test_job

2a63fb6e17c4771c3ed1088dd4a9b32057e59ad7

[ "WTFPL" ]

null

from io import StringIO from django.core.management import call_command from django.test import TestCase class PlayerTestCase(TestCase): def setUp(self): pass

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null

0

1

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5

2055653562b553452776ea6d261768e8731cbf83

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py

Python

Python/CodingBat/near_hundred.py

dvt32/cpp-journey

afd7db7a1ad106c41601fb09e963902187ae36e6

[ "MIT" ]

1

2018-05-24T11:30:05.000Z

Python/CodingBat/near_hundred.py

dvt32/cpp-journey

afd7db7a1ad106c41601fb09e963902187ae36e6

[ "MIT" ]

null

Python/CodingBat/near_hundred.py

dvt32/cpp-journey

afd7db7a1ad106c41601fb09e963902187ae36e6

[ "MIT" ]

2

2017-08-11T06:53:30.000Z

2017-08-29T12:07:52.000Z

# http://codingbat.com/prob/p124676 def near_hundred(n): return abs(n-100) <= 10 or abs(n-200) <= 10

20.8

45

0.663462

19

104

3.578947

0.789474

0.117647

0

0.179775

0.144231

104

4

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0.317308

0

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0

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null

0

1

0

null

0

1

0

1

0

5

64584eb26217b255d1ab5671d93624246526ad14

34

py

Python

run.py

serjtroshin/memorises

f6dc8017e749f3e5e3ff09a56e3aecbf2446dc37

[ "MIT" ]

null

run.py

serjtroshin/memorises

f6dc8017e749f3e5e3ff09a56e3aecbf2446dc37

[ "MIT" ]

2

2021-04-25T09:12:12.000Z

2021-06-02T00:56:10.000Z

run.py

serjtroshin/memorises

f6dc8017e749f3e5e3ff09a56e3aecbf2446dc37

[ "MIT" ]

null

from bot.main import main main()

8.5

25

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34

4.166667

0.666667

0

0.176471

34

3

26

11.333333

0.892857

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true

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null

0

1

0

null

0

1

0

1

0

5

64622f8137c2031c9f1e2c36e82170215125d072

138

py

Python

snakegame/snakegame/__init__.py

ascobee/snake-game-cli

3fa16454ad172e029866e9446f47020a1b83f695

[ "MIT" ]

null

snakegame/snakegame/__init__.py

ascobee/snake-game-cli

3fa16454ad172e029866e9446f47020a1b83f695

[ "MIT" ]

null

snakegame/snakegame/__init__.py

ascobee/snake-game-cli

3fa16454ad172e029866e9446f47020a1b83f695

[ "MIT" ]

null

#!/usr/bin/env python3 # __init__.py from .game import Game from .apple import Apple from .snake import Snake from .player import Player

17.25

26

0.768116

22

138

4.636364

0.545455

0

0.008547

0.152174

138

7

27

19.714286

0.863248

0.23913

0

1

0

true

0

1

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1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

64942a215c6f5ae54ab8b153d16c5b486bf6611e

235

py

Python

experiment/sale/admin.py

rob-atlas/atlasparts

8d4704f8734945fbcd99baa5bd0f20cd930e814f

[ "MIT" ]

null

experiment/sale/admin.py

rob-atlas/atlasparts

8d4704f8734945fbcd99baa5bd0f20cd930e814f

[ "MIT" ]

6

2020-06-06T00:04:02.000Z

2021-09-22T19:05:03.000Z

experiment/sale/admin.py

rob-atlas/atlasparts

8d4704f8734945fbcd99baa5bd0f20cd930e814f

[ "MIT" ]

null

from django.contrib import admin from .models import Sale, UnleashedLineItem, UnleashedSalesOrder # Register your models here. admin.site.register(Sale) admin.site.register(UnleashedLineItem) admin.site.register(UnleashedSalesOrder)

26.111111

64

0.838298

27

235

7.296296

0.481481

0.137056

0.258883

0

0.085106

235

8

65

29.375

0.916279

0.110638

0

1

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true

0

0.4

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0.4

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0

1

0

null

0

1

0

1

0

5

64ac8679f20acf4499c54863678c424e015c04a2

44

py

Python

Autokey/CapsKeybinds/ctrl alt/pageup.py

MisaghM/Capslock-Keybindings

00332c7d39cf776c43fe13aa08e1c2969747425d

[ "MIT" ]

1

2021-11-05T19:39:36.000Z

Autokey/CapsKeybinds/ctrl alt/pageup.py

MisaghM/Capslock-Keybindings

00332c7d39cf776c43fe13aa08e1c2969747425d

[ "MIT" ]

null

Autokey/CapsKeybinds/ctrl alt/pageup.py

MisaghM/Capslock-Keybindings

00332c7d39cf776c43fe13aa08e1c2969747425d

[ "MIT" ]

null

keyboard.send_keys("<ctrl>+<alt>+<page_up>")

44

0.704545

7

44

4.142857

1

0

44

1

44

0.659091

0

0.488889

0

1

0

true

0

1

0

null

0

1

0

1

null

0

1

0

5

64b166f444e550b92d2caf34b363dc23e006b0c0

121

py

Python

stable_baselines3/ddpg/policies.py

hzyjerry/stable-baselines3

9dc6c1949fa1f19a1dcdde6858838686ec898412

[ "MIT" ]

26

2021-11-05T08:46:06.000Z

2022-03-22T05:53:57.000Z

stable_baselines3/ddpg/policies.py

hzyjerry/stable-baselines3

9dc6c1949fa1f19a1dcdde6858838686ec898412

[ "MIT" ]

1

2021-11-19T11:13:37.000Z

2021-11-30T09:08:04.000Z

stable_baselines3/ddpg/policies.py

hzyjerry/stable-baselines3

9dc6c1949fa1f19a1dcdde6858838686ec898412

[ "MIT" ]

5

2021-11-05T08:46:12.000Z

2022-03-25T21:56:58.000Z

# DDPG can be view as a special case of TD3 from stable_baselines3.td3.policies import CnnPolicy, MlpPolicy # noqa:F401

40.333333

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60.5

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null

0

1

0

1

0

1

0

5

b37a7ebc3c399d81a2eda7275f587be970385f99

7,371

py

Python

test/test_command_actions.py

calne-ca/beets-plugin-extended-metadata

305791cb62c4ab9df3763115279f1335d7acc813

[ "MIT" ]

null

test/test_command_actions.py

calne-ca/beets-plugin-extended-metadata

305791cb62c4ab9df3763115279f1335d7acc813

[ "MIT" ]

null

test/test_command_actions.py

calne-ca/beets-plugin-extended-metadata

305791cb62c4ab9df3763115279f1335d7acc813

[ "MIT" ]

null

import unittest from beetsplug.emd.command.actions.add_action import AddExpression from beetsplug.emd.command.actions.copy_action import CopyExpression from beetsplug.emd.command.actions.delete_action import DeleteExpression from beetsplug.emd.command.actions.rename_action import RenameExpression from beetsplug.emd.command.actions.update_action import UpdateExpression class CommandActionsTest(unittest.TestCase): def test_update_expression(self): expression = UpdateExpression('tag1:test1/tag2:test2') self.assertEqual('tag1', expression.source_tag) self.assertEqual('test1', expression.source_value) self.assertEqual('tag2', expression.destination_tag) self.assertEqual('test2', expression.destination_value) def test_add_expression_special_characters(self): self.assertEqual(['test.1'], UpdateExpression('tag1:test.1/tag2:test.2').source_value) self.assertEqual(['test.2'], UpdateExpression('tag1:test.1/tag2:test.2').destination_value) self.assertEqual(["test'1"], UpdateExpression("tag1:test'1/tag2:test'2").source_value) self.assertEqual(["test'2"], UpdateExpression("tag1:test'1/tag2:test'2").destination_value) self.assertEqual(["!test1"], UpdateExpression("tag1:!test1/tag2:!test2").source_value) self.assertEqual(["!test2"], UpdateExpression("tag1:!test1/tag2:!test2").destination_value) self.assertEqual(["test;1"], UpdateExpression("tag1:test;1/tag2:test;2").source_value) self.assertEqual(["test;2"], UpdateExpression("tag1:test;1/tag2:test;2").destination_value) self.assertEqual(["test/1"], UpdateExpression("tag1:test/1/tag2:test/2").source_value) self.assertEqual(["test/2"], UpdateExpression("tag1:test/1/tag2:test/2").destination_value) def test_update_expression_invalid_expression(self): self.assertRaises(Exception, lambda: UpdateExpression('')) self.assertRaises(Exception, lambda: UpdateExpression('tag1/test1')) self.assertRaises(Exception, lambda: UpdateExpression('tag1:test1')) self.assertRaises(Exception, lambda: UpdateExpression('tag1:test1:tag2:test2')) self.assertRaises(Exception, lambda: UpdateExpression('!tag1:test1:tag2:test2')) self.assertRaises(Exception, lambda: UpdateExpression('tag1:test1:!tag2:test2')) def test_copy_expression(self): expression = CopyExpression('tag1/tag2') self.assertEqual('tag1', expression.source_tag) self.assertTrue(expression.is_source_emd) self.assertEqual('tag2', expression.destination_tag) self.assertTrue(expression.is_destination_emd) def test_copy_expression_from_file_metadata(self): expression = CopyExpression('.tag1/tag2') self.assertEqual('tag1', expression.source_tag) self.assertFalse(expression.is_source_emd) self.assertEqual('tag2', expression.destination_tag) self.assertTrue(expression.is_destination_emd) def test_copy_expression_to_file_metadata(self): expression = CopyExpression('tag1/.tag2') self.assertEqual('tag1', expression.source_tag) self.assertTrue(expression.is_source_emd) self.assertEqual('tag2', expression.destination_tag) self.assertFalse(expression.is_destination_emd) def test_copy_expression_from_and_to_file_metadata(self): expression = CopyExpression('.tag1/.tag2') self.assertEqual('tag1', expression.source_tag) self.assertFalse(expression.is_source_emd) self.assertEqual('tag2', expression.destination_tag) self.assertFalse(expression.is_destination_emd) def test_copy_expression_invalid_expression(self): self.assertRaises(Exception, lambda: CopyExpression('')) self.assertRaises(Exception, lambda: CopyExpression('tag1:test1/test1:test2')) self.assertRaises(Exception, lambda: CopyExpression('tag1:tag2')) def test_add_expression(self): expression = AddExpression('tag1:test1') self.assertEqual('tag1', expression.tag) self.assertEqual(['test1'], expression.values) def test_add_expression_multiple_values(self): expression = AddExpression('tag1:test1,test2,test3') self.assertEqual('tag1', expression.tag) self.assertEqual(['test1', 'test2', 'test3'], expression.values) def test_add_expression_special_characters(self): self.assertEqual(['test.1'], AddExpression('tag1:test.1').values) self.assertEqual(["test'1"], AddExpression("tag1:test'1").values) self.assertEqual(["!test1"], AddExpression("tag1:!test1").values) self.assertEqual(["test;1"], AddExpression("tag1:test;1").values) self.assertEqual(["test/1"], AddExpression("tag1:test/1").values) def test_add_expression_invalid_expression(self): self.assertRaises(Exception, lambda: AddExpression('')) self.assertRaises(Exception, lambda: AddExpression('tag1')) self.assertRaises(Exception, lambda: AddExpression('tag1:')) self.assertRaises(Exception, lambda: AddExpression('tag1/test1')) self.assertRaises(Exception, lambda: AddExpression('!tag1:test1')) def test_delete_expression(self): expression = DeleteExpression('tag1:test1') self.assertEqual('tag1', expression.tag) self.assertEqual(['test1'], expression.values) def test_delete_expression_no_value(self): expression = DeleteExpression('tag1') self.assertEqual('tag1', expression.tag) self.assertEqual([], expression.values) def test_delete_expression_multiple_values(self): expression = DeleteExpression('tag1:test1,test2,test3') self.assertEqual('tag1', expression.tag) self.assertEqual(['test1', 'test2', 'test3'], expression.values) def test_delete_expression_special_characters(self): self.assertEqual(['test.1'], DeleteExpression('tag1:test.1').values) self.assertEqual(["test'1"], DeleteExpression("tag1:test'1").values) self.assertEqual(["!test1"], DeleteExpression("tag1:!test1").values) self.assertEqual(["test;1"], DeleteExpression("tag1:test;1").values) self.assertEqual(["test/1"], DeleteExpression("tag1:test/1").values) def test_delete_expression_invalid_expression(self): self.assertRaises(Exception, lambda: DeleteExpression('')) self.assertRaises(Exception, lambda: DeleteExpression('tag1:')) self.assertRaises(Exception, lambda: DeleteExpression('tag1/test1')) self.assertRaises(Exception, lambda: DeleteExpression('!tag1:test1')) def test_rename_expression(self): expression = RenameExpression('tag1/tag2') self.assertEqual('tag1', expression.old_tag) self.assertEqual('tag2', expression.new_tag) def test_rename_expression_invalid_expression(self): self.assertRaises(Exception, lambda: RenameExpression('')) self.assertRaises(Exception, lambda: RenameExpression('tag1')) self.assertRaises(Exception, lambda: RenameExpression('tag1/')) self.assertRaises(Exception, lambda: RenameExpression('tag1:tag2')) self.assertRaises(Exception, lambda: RenameExpression('tag1/!tag2')) self.assertRaises(Exception, lambda: RenameExpression('!tag1/tag2')) self.assertRaises(Exception, lambda: RenameExpression('tag1:tag2,tag3'))

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0.149067

0.8819

0.790537

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0.667051

0.603385

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7,371

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100

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0

1

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1

0

null

0

1

0

5

b3ad9dbf5c4f0c0a0f4c97c902c132d080f64492

207

py

Python

portfolio_api/exceptions/__init__.py

kkiyama117/fastAPI_template

b56b3184d7217bc33aabc1c1a40174e06c80e2f3

[ "MIT" ]

null

portfolio_api/exceptions/__init__.py

kkiyama117/fastAPI_template

b56b3184d7217bc33aabc1c1a40174e06c80e2f3

[ "MIT" ]

null

portfolio_api/exceptions/__init__.py

kkiyama117/fastAPI_template

b56b3184d7217bc33aabc1c1a40174e06c80e2f3

[ "MIT" ]

null

from .db import BadRequestException, UserAlreadyExistException, UserNotExistException, DatabaseException __all__ = [DatabaseException, UserAlreadyExistException, UserNotExistException, BadRequestException]

51.75

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false

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1

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null

0

1

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5

b3b0d79eb54ffec3fa74b0aeeb1dbf59121dbf51

160

py

Python

acme/acme/util.py

magikid/certbot

f5a88ade54cc34ae216959a84a658986324ea69c

[ "Apache-2.0" ]

5

2021-01-26T08:47:29.000Z

2021-01-30T00:42:12.000Z

acme/acme/util.py

magikid/certbot

f5a88ade54cc34ae216959a84a658986324ea69c

[ "Apache-2.0" ]

1

2021-01-25T14:47:33.000Z

2021-01-25T15:00:46.000Z

acme/acme/util.py

magikid/certbot

f5a88ade54cc34ae216959a84a658986324ea69c

[ "Apache-2.0" ]

1

2020-10-28T05:49:43.000Z

"""ACME utilities.""" import six def map_keys(dikt, func): """Map dictionary keys.""" return {func(key): value for key, value in six.iteritems(dikt)}

20

67

0.65625

23

160

4.521739

0.695652

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0

0.175

160

7

68

22.857143

0.787879

0.225

0

1

0.333333

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b3b28316ce2eb8ec7848181f160dba822be049fc

402

py

Python

python/ql/src/Statements/C_StyleParentheses.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

4,036

2020-04-29T00:09:57.000Z

2022-03-31T14:16:38.000Z

python/ql/src/Statements/C_StyleParentheses.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

2,970

2020-04-28T17:24:18.000Z

2022-03-31T22:40:46.000Z

python/ql/src/Statements/C_StyleParentheses.py

ScriptBox99/github-codeql

2ecf0d3264db8fb4904b2056964da469372a235c

[ "MIT" ]

794

2020-04-29T00:28:25.000Z

2022-03-30T08:21:46.000Z

#Written in Java or C style def gcd(a, b): while(a != 0 and b != 0): if(a > b): a = a % b else: b = b % a if(a == 0): return (b) return (a) #Written in a more Pythonic style def gcd(a, b): while a != 0 and b != 0: if a > b: a = a % b else: b = b % a if a == 0: return b return a

16.75

33

0.378109

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17.478261

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0

0.333333

0

null

0

1

0

null

0

5

b3b796dc3b18c4a74651bc71be88e930b72ed11e

49

py

Python

tests/components/mjpeg/__init__.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/mjpeg/__init__.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

24,710

2016-04-13T08:27:26.000Z

2020-03-02T12:59:13.000Z

tests/components/mjpeg/__init__.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Tests for the MJPEG IP Camera integration."""

24.5

48

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49

5

1

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49

1

49

0.833333

0.857143

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null

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null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

375029c52f69952849a4c23523ebd562a233a123

54

py

Python

tests/subfolder/testdata.py

dmahugh/pyfind

b69b959516b8a67a1527e4beb9b4e4d5dd5566e7

[ "MIT" ]

2

2018-11-17T15:44:52.000Z

2019-05-04T10:21:10.000Z

tests/testdata.py

dmahugh/pyfind

b69b959516b8a67a1527e4beb9b4e4d5dd5566e7

[ "MIT" ]

1

2018-11-17T14:00:55.000Z

tests/testdata.py

dmahugh/pyfind

b69b959516b8a67a1527e4beb9b4e4d5dd5566e7

[ "MIT" ]

null

"""test file for pyfind unit tests """ import pathlib

13.5

34

0.722222

8

54

4.875

1

0

0.166667

54

3

35

18

0.866667

0.574074

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

378fc39a917c10013c3a6393f3a12d34d16cebcd

85

py

Python

src/plugins/BUPT_ncov/exception.py

Nova-Noir/novabot_v2

5e2cdd0981f8556a55ba61b62720668f98baef12

[ "MIT" ]

3

2022-03-21T09:47:32.000Z

2022-03-22T01:58:43.000Z

src/plugins/BUPT_ncov/exception.py

Nova-Noir/novabot_v2

5e2cdd0981f8556a55ba61b62720668f98baef12

[ "MIT" ]

3

2022-02-23T16:53:50.000Z

2022-02-23T16:59:58.000Z

src/plugins/BUPT_ncov/exception.py

Nova-Noir/novabot_v2

5e2cdd0981f8556a55ba61b62720668f98baef12

[ "MIT" ]

1

2022-03-17T12:27:54.000Z

class NoLoginException(Exception): pass class ParserError(Exception): pass

12.142857

34

0.741176

8

85

7.875

0.625

0.412698

0

0.188235

85

6

35

14.166667

0.913043

0

0.5

0

1

0

true

0.5

0

0.5

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0

null

1

0

1

0

null

0

1

0

5

37b3a3ede80ab6c2a610beaff37d239d233f033c

791

py

Python

episcanpy/plotting/__init__.py

AbiriAmir/epiScanpy

3b7c0d0c91602bc446888e09a0aa6c21f25e5f48

[ "BSD-3-Clause" ]

null

episcanpy/plotting/__init__.py

AbiriAmir/epiScanpy

3b7c0d0c91602bc446888e09a0aa6c21f25e5f48

[ "BSD-3-Clause" ]

null

episcanpy/plotting/__init__.py

AbiriAmir/epiScanpy

3b7c0d0c91602bc446888e09a0aa6c21f25e5f48

[ "BSD-3-Clause" ]

null

from ..plotting._heatmap import overlap_heatmap, prct_overlap #from ..plotting._features import plot_rank_features from ..plotting._silhouette import silhouette, silhouette_tot from ..plotting._histograms import cluster_composition from ..plotting._scanpy_plotting import pca, tsne, umap, diffmap, draw_graph from ..plotting._scanpy_plotting import pca_loadings, pca_overview, pca_variance_ratio from ..plotting._scanpy_plotting import rank_feat_groups from ..plotting._scanpy_plotting import rank_feat_groups_violin, rank_feat_groups_dotplot from ..plotting._scanpy_plotting import rank_feat_groups_stacked_violin, rank_feat_groups_matrixplot from ..plotting._scanpy_plotting import rank_feat_groups_heatmap, rank_feat_groups_tracksplot from ..plotting._variable_features import cal_var

52.733333

100

0.869785

106

791

6.009434

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0.153846

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0

0.073325

791

14

101

56.5

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1

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1

0

null

0

1

0

1

0

1

0

5

80d983d1aa6a8904601998b5240760f2bc51a254

210

py

Python

src/spaceone/identity/info/authorization_info.py

choonho/identity

e56263e06e04b4d3ea7b230026c9b2db4e0be685

[ "Apache-2.0" ]

1

2020-07-31T09:42:02.000Z

src/spaceone/identity/info/authorization_info.py

choonho/identity

e56263e06e04b4d3ea7b230026c9b2db4e0be685

[ "Apache-2.0" ]

null

src/spaceone/identity/info/authorization_info.py

choonho/identity

e56263e06e04b4d3ea7b230026c9b2db4e0be685

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from spaceone.core.pygrpc.message_type import * __all__ = ['AuthorizationResponse'] def AuthorizationResponse(auth_data): return change_handler_authorization_response(auth_data)

21

59

0.77619

23

210

6.652174

0.869565

0.104575

0

0.005376

0.114286

210

9

60

23.333333

0.817204

0.1

0

0.112299

0

1

0.25

false

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

80f07fb684fba4ba37dff488ab163d9ba61a2fc6

66

py

Python

resippy/spectral/spectrum_factories/usgs/ascii/__init__.py

BeamIO-Inc/resippy

37f6b8e865f4836696a9db0a4b17eae2426cdd96

[ "BSD-3-Clause" ]

11

2019-03-30T02:32:13.000Z

2021-11-02T23:15:17.000Z

resippy/spectral/spectrum_factories/usgs/ascii/__init__.py

BeamIO-Inc/resippy

37f6b8e865f4836696a9db0a4b17eae2426cdd96

[ "BSD-3-Clause" ]

10

2019-02-28T21:24:01.000Z

2019-12-31T15:02:03.000Z

resippy/spectral/spectrum_factories/usgs/ascii/__init__.py

BeamIO-Inc/resippy

37f6b8e865f4836696a9db0a4b17eae2426cdd96

[ "BSD-3-Clause" ]

4

2019-08-16T22:20:23.000Z

2021-04-27T08:23:01.000Z

from .usgs_ascii_spectral_factory import UsgsAsciiSpectralFactory

33

65

0.924242

7

66

8.285714

1

0

0.060606

66

1

66

0.935484

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

80fcecb0a64cdca18a573796e2243efaf61d20af

872

py

Python

casparser/regex.py

nirmanp6/casparser

8dae4ec06d410f3299e1203ee89e6d0794bdd92d

[ "MIT" ]

null

casparser/regex.py

nirmanp6/casparser

8dae4ec06d410f3299e1203ee89e6d0794bdd92d

[ "MIT" ]

null

casparser/regex.py

nirmanp6/casparser

8dae4ec06d410f3299e1203ee89e6d0794bdd92d

[ "MIT" ]

null

HEADER_RE = r"(?P<from>\d{2}-[a-zA-Z]{3}-\d{4})\s+to\s+(?P<to>\d{2}-[a-zA-Z]{3}-\d{4})" FOLIO_RE = ( r"Folio\s+No\s*:\s+(.+?)\s+(?:PAN\s*:\s+([A-Z]{5}\d{4}[A-Z])\s+)?" r"KYC\s*:\s*(.+?)\s+PAN\s*:\s*(.+?)$" ) SCHEME_RE = r"([\s\w]+)-\s*\d*\s*(.+?)\s*(?:$Advisor\s*:\s*(.+?)$)*\s+Registrar\s*:\s*(.*)\s*$" OPEN_UNITS_RE = r"Opening\s+Unit\s+Balance.+?([\d,.]+)" CLOSE_UNITS_RE = r"Closing\s+Unit\s+Balance.+?([\d,.]+)" VALUATION_RE = r"Valuation\s+on\s+(\d{2}-[A-Za-z]{3}-\d{4})\s*:\s*INR\s*([\d,.]+)" NAV_RE = r"NAV\s+on\s+(\d{2}-[A-Za-z]{3}-\d{4})\s*:\s*INR\s*([\d,.]+)" TRANSACTION_RE = ( r"(\d{2}-[A-Za-z]{3}-\d{4})\t\t([^\t]+?)\t\t([(\d,.]+)\)*(?:\t\t([(\d,.]+)\)*\t\t([(\d,.]+)\)*\t\t([(\d,.]+)\)*)*" ) DIVIDEND_RE = r"dividend.+?(reinvest)*.+?@\s+Rs\.\s*([\d\.]+)\s+per\s+unit" DESCRIPTION_TAIL_RE = r"\d{2}-[A-Za-z]{3}-\d{4}\t\t.*(\n[^\t]+)[\t|$]"

43.6

118

0.436927

187

872

1.967914

0.229947

0.070652

0.048913

0.081522

0.388587

0.3125

0.269022

0.244565

0.184783

0

0.024361

0.058486

872

19

119

45.894737

0.423873

0

0.466667

0.755734

0

1

0

false

0

1

null

0

1

0

1

null

0

5

03839932226248a4c4d7517146d4a6daa6b6f0a3

163

py

Python

django/microservices_lite/microservices_lite/views.py

raychorn/microservices-framework_light

b441444842ae6e85f608025173a25b07dbb95578

[ "BSD-3-Clause" ]

2

2021-07-13T00:54:32.000Z

2022-01-04T15:36:09.000Z

django/microservices_lite/microservices_lite/views.py

raychorn/microservices-framework_light

b441444842ae6e85f608025173a25b07dbb95578

[ "BSD-3-Clause" ]

null

django/microservices_lite/microservices_lite/views.py

raychorn/microservices-framework_light

b441444842ae6e85f608025173a25b07dbb95578

[ "BSD-3-Clause" ]

null

from django.http import HttpResponse, HttpResponseNotFound def catchall(request, exception): # ... return HttpResponseNotFound('<h1>Page not found</h1>')

27.166667

58

0.742331

17

163

7.117647

0.882353

0

0.014286

0.141104

163

5

59

32.6

0.85

0.018405

0

0.14557

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

038e125fcfe6d3e72ad2f5f1e457cde68c489683

202

py

Python

p73/solve.py

josephok/ProjectEuler

104e9f2ec910b748745fb346e3bd266d266b3dc8

[ "WTFPL" ]

null

p73/solve.py

josephok/ProjectEuler

104e9f2ec910b748745fb346e3bd266d266b3dc8

[ "WTFPL" ]

null

p73/solve.py

josephok/ProjectEuler

104e9f2ec910b748745fb346e3bd266d266b3dc8

[ "WTFPL" ]

null

from fractions import gcd def getCountOfFractions(): return sum( 1 for d in range( 5, 12001 ) for n in range( int( d / 3 ) + 1, int( d / 2 ) + 1 ) if gcd( n, d ) == 1 ) print( getCountOfFractions() )

33.666667

116

0.623762

34

202

3.705882

0.617647

0.111111

0

0.077922

0.237624

202

6

117

33.666667

0.74026

0

1

0.25

true

0

0.25

0.75

0.25

0

null

0

1

0

null

0

1

0

1

0

5

03a8cafd2420211e11b9018b7a87b3a72f250fa7

321

py

Python

bast/validator/__init__.py

eltNEG/Bast

e7604849851ebef7c5f3dc801be0fba99f292596

[ "MIT" ]

53

2018-07-26T10:03:56.000Z

2021-03-19T16:49:28.000Z

bast/validator/__init__.py

eltNEG/Bast

e7604849851ebef7c5f3dc801be0fba99f292596

[ "MIT" ]

19

2018-07-22T18:15:28.000Z

2021-06-01T22:26:53.000Z

bast/validator/__init__.py

eltNEG/Bast

e7604849851ebef7c5f3dc801be0fba99f292596

[ "MIT" ]

13

2018-07-16T14:07:17.000Z

2020-06-11T20:59:16.000Z

from .validator import validator from .validator import Field from .validator import Rule from .rules import Rule from .rules import in_list from .rules import length_between from .rules import required_length from .rules import is_email from .rules import matches from .rules import is_alpha_numeric from .rules import *

29.181818

35

0.82866

49

321

5.306122

0.326531

0.276923

0.461538

0.146154

0.169231

0

0.133956

321

11

36

29.181818

0.935252

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

03dbfb4ed3086a229cb4c967939a10c5115113e8

83

py

Python

tracardi_template_plugin/model/configuration.py

Tracardi/tracardi-template-plugin

4af849e21d0a6490931c6bc0866d76229e236ca4

[ "MIT" ]

null

tracardi_template_plugin/model/configuration.py

Tracardi/tracardi-template-plugin

4af849e21d0a6490931c6bc0866d76229e236ca4

[ "MIT" ]

null

tracardi_template_plugin/model/configuration.py

Tracardi/tracardi-template-plugin

4af849e21d0a6490931c6bc0866d76229e236ca4

[ "MIT" ]

null

from pydantic import BaseModel class Configuration(BaseModel): template: str

13.833333

31

0.783133

9

83

7.222222

0.888889

0

0.168675

83

5

32

16.6

0.942029

0

1

0

true

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

03e1d520f3718c8faae3f917c35894beae75c870

257

py

Python

tests/test_priors.py

AlexisOlson/chess-tuning-tools

8a66fdcb8e3ad3142f44a752399bede4ff2937ab

[ "Apache-2.0" ]

null

tests/test_priors.py

AlexisOlson/chess-tuning-tools

8a66fdcb8e3ad3142f44a752399bede4ff2937ab

[ "Apache-2.0" ]

null

tests/test_priors.py

AlexisOlson/chess-tuning-tools

8a66fdcb8e3ad3142f44a752399bede4ff2937ab

[ "Apache-2.0" ]

null

import numpy as np from numpy.testing import assert_almost_equal from tune.priors import roundflat def test_roundflat(): assert_almost_equal(roundflat(0.3), 0.0, decimal=0.1) assert roundflat(0.0) == -np.inf assert roundflat(-1.0) == -np.inf

23.363636

57

0.727626

42

257

4.333333

0.452381

0.131868

0.186813

0

0.046083

0.155642

257

10

58

25.7

0.792627

0

0.571429

1

0.142857

true

0

0.428571

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

1

0

5

ff13bf3528f213e275ccbd4b424b3e95b2832b2c

184

py

Python

Csharp/Projects/GrovePi/PythonWrappers/ADC.py

yodiwo/plegma

a6fe7735783491fd45769c973d103aec036dde76

[ "Apache-2.0" ]

6

2016-04-25T17:02:31.000Z

2018-02-26T09:38:38.000Z

Csharp/Projects/GrovePi/PythonWrappers/ADC.py

yodiwo/plegma

a6fe7735783491fd45769c973d103aec036dde76

[ "Apache-2.0" ]

null

Csharp/Projects/GrovePi/PythonWrappers/ADC.py

yodiwo/plegma

a6fe7735783491fd45769c973d103aec036dde76

[ "Apache-2.0" ]

6

2016-04-25T17:02:36.000Z

2018-11-20T03:46:26.000Z

import grove_i2c_adc import time class ADC(object): def __init__(self): self.adc= grove_i2c_adc.ADC() def getData(self): return self.adc.adc_read()

16.727273

38

0.630435

26

184

4.115385

0.5

0.149533

0.205607

0

0.014925

0.271739

184

10

39

18.4

0.783582

0

1

0.285714

false

0

0.285714

0.142857

0.857143

0

1

0

null

0

1

0

null

0

1

0

1

0

5

205f2b531b6d9e7528a7a5301888441b3a956ce5

110

py

Python

tests/contrib/django/compat.py

tophatmonocle/dd-trace-py

7db12f1c398c07cd5baf91c571aed672dbb6496d

[ "BSD-3-Clause" ]

null

tests/contrib/django/compat.py

tophatmonocle/dd-trace-py

7db12f1c398c07cd5baf91c571aed672dbb6496d

[ "BSD-3-Clause" ]

null

tests/contrib/django/compat.py

tophatmonocle/dd-trace-py

7db12f1c398c07cd5baf91c571aed672dbb6496d

[ "BSD-3-Clause" ]

null

try: from django.core.urlresolvers import reverse except ImportError: from django.urls import reverse

22

48

0.781818

14

110

6.142857

0.714286

0.232558

0

0.172727

110

4

49

27.5

0.945055

0

1

0

true

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

206798b105f98eb913dfbde4ebb07f69e7c1c8b4

2,117

py

Python

tests/test_config.py

nickderobertis/py-finstmt

7903bce83b31e4425ac680020bf7d3536ed1ed11

[ "MIT" ]

3

2021-11-30T21:03:25.000Z

2022-01-04T10:18:54.000Z

tests/test_config.py

nickderobertis/py-finstmt

7903bce83b31e4425ac680020bf7d3536ed1ed11

[ "MIT" ]

23

2020-03-24T18:14:22.000Z

2022-03-12T00:19:51.000Z

tests/test_config.py

whoopnip/py-finstmt

7903bce83b31e4425ac680020bf7d3536ed1ed11

[ "MIT" ]

3

2021-05-15T11:13:08.000Z

2021-11-30T21:03:28.000Z

import json from pathlib import Path from finstmt import FinancialStatements, IncomeStatements, BalanceSheets from finstmt.config_manage.statements import StatementsConfigManager from tests.conftest import DEVELOPMENT_MODE, EXPECT_CONFIG_PATH def check_config(config: StatementsConfigManager, json_path: Path): if DEVELOPMENT_MODE: json_data = config.json(indent=2) json_path.write_text(json_data) return expect_data = json.loads(json_path.read_text()) assert config.dict() == expect_data def test_config_load_cat_annual_stockrow( annual_stockrow_income_stmt_cat: IncomeStatements, annual_stockrow_bs_stmt_cat: BalanceSheets ): stmts = FinancialStatements(annual_stockrow_income_stmt_cat, annual_stockrow_bs_stmt_cat, auto_adjust_config=False) json_path = EXPECT_CONFIG_PATH / 'default-cat-annual-stockrow.json' check_config(stmts.config, json_path) def test_config_load_cat_annual_capiq( annual_capiq_income_stmt: IncomeStatements, annual_capiq_bs_stmt: BalanceSheets ): dates = annual_capiq_income_stmt.dates stmts = FinancialStatements(annual_capiq_income_stmt, annual_capiq_bs_stmt[dates], auto_adjust_config=False) json_path = EXPECT_CONFIG_PATH / 'default-cat-annual-capiq.json' check_config(stmts.config, json_path) def test_config_load_cat_annual_stockrow_no_adjust( annual_stockrow_income_stmt_cat: IncomeStatements, annual_stockrow_bs_stmt_cat: BalanceSheets ): stmts = FinancialStatements(annual_stockrow_income_stmt_cat, annual_stockrow_bs_stmt_cat, auto_adjust_config=False) json_path = EXPECT_CONFIG_PATH / 'no-adjust-cat-annual-stockrow.json' check_config(stmts.config, json_path) def test_config_load_cat_annual_capiq_no_adjust( annual_capiq_income_stmt: IncomeStatements, annual_capiq_bs_stmt: BalanceSheets ): dates = annual_capiq_income_stmt.dates stmts = FinancialStatements(annual_capiq_income_stmt, annual_capiq_bs_stmt[dates], auto_adjust_config=False) json_path = EXPECT_CONFIG_PATH / 'no-adjust-cat-annual-capiq.json' check_config(stmts.config, json_path)

38.490909

119

0.81247

281

2,117

5.661922

0.16726

0.096794

0.064111

0.079195

0.737901

0.711502

0

0.000538

0.121871

2,117

54

120

39.203704

0.855299

0

0.52381

0

0.059518

0

0.02381

1

0.119048

false

0

0.119048

0

0.261905

0

null

0

1

0

null

0

5

2072d4fbfba949dcba4f771d0198ec79b5b06c4e

24

py

Python

Python/hello_world_swahili.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

1,428

2018-10-03T15:15:17.000Z

2019-03-31T18:38:36.000Z

Python/hello_world_swahili.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

1,162

2018-10-03T15:05:49.000Z

2018-10-18T14:17:52.000Z

Python/hello_world_swahili.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

3,909

2018-10-03T15:07:19.000Z

2019-03-31T18:39:08.000Z

print('Salamu, Dunia!')

12

23

0.666667

3

24

5.333333

1

0

0.083333

24

1

24

0.727273

0

0.583333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

207a1f9d97e5d0ac790d7e06670e606dd518b0cc

34

py

Python

Codeforces/problems/0228/A/228A.py

object-oriented-human/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

2

2021-07-27T10:46:47.000Z

2021-07-27T10:47:57.000Z

Codeforces/problems/0228/A/228A.py

foooop/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

null

Codeforces/problems/0228/A/228A.py

foooop/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

null

print(4-len(set(input().split())))

34

0.647059

6

34

3.666667

1

0

0.029412

0

34

1

34

0.617647

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2093189c224eedc672f16852ed9d2c3dce96517b

129

py

Python

supervisr/cli/seed/admin.py

BeryJu/supervisr

2305b1e27abb0bfe9fcee93b79e012c62cba712e

[ "MIT" ]

1

2020-01-12T21:33:03.000Z

supervisr/cli/seed/admin.py

BeryJu/supervisr

2305b1e27abb0bfe9fcee93b79e012c62cba712e

[ "MIT" ]

null

supervisr/cli/seed/admin.py

BeryJu/supervisr

2305b1e27abb0bfe9fcee93b79e012c62cba712e

[ "MIT" ]

null

"""Supervisr module seed app admin""" from supervisr.core.admin import admin_autoregister admin_autoregister('supervisr_seed')

21.5

51

0.813953

16

129

6.375

0.5625

0.333333

0

0.093023

129

5

52

25.8

0.871795

0.24031

0

0.152174

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

20a3553ca0af33d597b5dbadc0fa16d224d1eb45

95

py

Python

workspace_tools/private_settings.py

HeadsUpDisplayInc/mbed

e9f546aef32f7e55ada78715131025cff7472d7f

[ "Apache-2.0" ]

null

workspace_tools/private_settings.py

HeadsUpDisplayInc/mbed

e9f546aef32f7e55ada78715131025cff7472d7f

[ "Apache-2.0" ]

null

workspace_tools/private_settings.py

HeadsUpDisplayInc/mbed

e9f546aef32f7e55ada78715131025cff7472d7f

[ "Apache-2.0" ]

null

from mbed_settings import * # GCC ARM GCC_ARM_PATH = "/opt/gcc-arm-none-eabi-4_9-2015q1/bin/"

19

55

0.736842

18

95

3.666667

0.777778

0.272727

0

0.083333

0.115789

95

4

56

23.75

0.702381

0.073684

0

0.44186

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

1

null

0

1

0

5

20dbf1d293659512271d1a06d895c562fa581215

42

py

Python

src/exception/client.py

Twente-Mining/tezos-reward-distributor

8df0745fdb44cbd765084303882545202d2427f3

[ "MIT" ]

26

2020-03-16T14:20:04.000Z

2021-12-18T21:48:19.000Z

src/exception/client.py

Twente-Mining/tezos-reward-distributor

8df0745fdb44cbd765084303882545202d2427f3

[ "MIT" ]

9

2020-03-16T17:49:26.000Z

2021-11-29T14:13:36.000Z

src/exception/client.py

Twente-Mining/tezos-reward-distributor

8df0745fdb44cbd765084303882545202d2427f3

[ "MIT" ]

7

2020-03-16T16:57:15.000Z

2021-11-26T14:17:35.000Z

class ClientException(Exception): pass

21

33

0.785714

4

42

8.25

1

0

0.142857

42

2

34

21

0.916667

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

20e70b41381a8ae511ca188242ce6718651b2670

290

py

Python

texar/evals/__init__.py

Holmeswww/Text_Infilling

f63cd24bee5c62d7dedd8fb35c4e52aee20c39f3

[ "Apache-2.0" ]

25

2019-01-03T09:15:20.000Z

2022-02-12T04:20:59.000Z

texar/evals/__init__.py

Holmeswww/Text_Infilling

f63cd24bee5c62d7dedd8fb35c4e52aee20c39f3

[ "Apache-2.0" ]

4

2019-03-28T11:02:20.000Z

2022-02-15T04:57:33.000Z

texar/evals/__init__.py

Holmeswww/Text_Infilling

f63cd24bee5c62d7dedd8fb35c4e52aee20c39f3

[ "Apache-2.0" ]

9

2019-01-03T02:20:37.000Z

2022-02-12T04:20:50.000Z

# """ Modules of texar library evals. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function # pylint: disable=wildcard-import from texar.evals.bleu_moses import * from texar.evals.bleu import * from texar.evals.metrics import *

19.333333

38

0.796552

39

290

5.538462

0.461538

0.185185

0.222222

0.277778

0.222222

0

0.131034

290

14

39

20.714286

0.857143

0.22069

0

1

0

true

0

1

0

1

0.166667

0

null

0

1

0

null

0

1

0

1

0

1

0

5

20edbebc6b324f58c7354916e408fe75e8ba9b1a

11,557

py

Python

day_9_part_2.py

Korred/advent_of_code_2016

8b6e9b51569bf75da9b0fc56cc9e7c1c4dddeb5e

[ "MIT" ]

null

day_9_part_2.py

Korred/advent_of_code_2016

8b6e9b51569bf75da9b0fc56cc9e7c1c4dddeb5e

[ "MIT" ]

null

day_9_part_2.py

Korred/advent_of_code_2016

8b6e9b51569bf75da9b0fc56cc9e7c1c4dddeb5e

[ "MIT" ]

null

import re def unzip_len(file): curr_pos, cnt = 0, 0 marker = re.compile(r'$([\d]+)x([\d]+)$') while(True): m = marker.search(file, curr_pos) if m: sub_cnt, rep_cnt = map(int, (m.group(1), m.group(2))) cnt += len(file[curr_pos:m.start()]) + (unzip_len(file[m.end():m.end() + sub_cnt]) * rep_cnt) curr_pos = m.end() + sub_cnt else: return cnt + len(file[curr_pos:]) zipped = '''(4x14)JVWV(84x11)(24x2)YAFPPYWOQJKUKQTJACJAOWYF(25x11)(1x1)J(12x14)CNZKOSNAJVYL(16x3)QADCLDFUVLLZZYKX(44x15)(6x6)SUAXJM(16x4)(1x15)S(4x3)TJLZ(5x13)XVUCL(83x7)(23x9)WIIPUJELAEJXNAEOLOKNVWG(1x5)E(32x1)(17x6)SUTMAPNOOLYENSSXR(4x6)XLCF(4x14)MTLX(5x1)BSVMF(71x8)(14x6)(1x8)G(2x13)US(38x15)(8x8)ARZSGIGT(19x5)CJZJZPFJAVAMGHXJTQD(1x9)R(283x8)(35x10)(8x14)XGYQJNOH(14x10)TAHCPETVDTFJUM(103x2)(1x13)H(23x15)DPMHJRJZEFEMPVRWEVJSJKX(8x1)LZHWFQUN(28x4)BKEVJUTVRNFNLBKSGUDWIUQMUHOH(13x3)UVIUHILLVYMGG(19x4)BEJMSSZUFBNOKATZGTO(79x5)(16x14)THNKRIKYRCDLGHBC(7x13)DKOCVNU(1x15)F(5x6)YGOBW(19x14)ULJKHNBIUHRJREZDDUJ(15x8)ZLSFAJXPJMBJAFB(129x1)(3x15)CSP(6x14)CENZEW(66x4)(4x9)OWJW(15x6)MBDRUKFILMGUIFN(24x8)QZOGFWHDWEKWKAHJCEVCHJEE(1x7)E(2x2)NP(23x2)TKWKUEBAXYXCJGNGVGDNZZP(6863x7)(765x2)(758x9)(489x13)(290x1)(45x1)(7x9)TFWYQXA(5x4)WFXPM(16x13)CAOREKUYBKRJUWMD(28x6)(5x2)TYNVR(5x11)HFMVV(1x11)E(29x2)(6x3)PFFYYG(11x13)VLLEXZNRJPD(99x5)(13x14)UKZMNKGWITWAK(5x7)JHHTK(5x5)FMAIL(22x4)WFKBNNDQSINTFOKWABDSKA(25x3)HRZTKQLJYZOQUVJSSJUVSLFZU(59x1)(12x8)EZPFSSKSKZTC(14x4)AASWPMUULDMISS(9x2)KDYYSAIJY(2x2)KL(11x1)(6x8)(1x6)B(156x3)(20x9)MYEZLSGKMXBRULVFLNWM(94x7)(5x3)VBRTE(19x12)VVJIRLYDDXRKTZUJRJO(19x4)MFQEJOENEJASWKCRKIS(16x10)DPCALBQVPPNEJZVX(4x14)KPXN(2x4)AC(16x13)(10x2)ZSDCNCRPWG(7x9)CKRAALS(3x12)WOX(190x12)(21x1)(15x2)CWEALKHVUJRKUZM(8x1)HMRGTTHX(1x4)M(11x5)FDKJPLSSJXZ(119x15)(112x5)(5x9)NEDAR(18x14)CJZFFRFLLHEKBJROIX(50x14)SMIZJRIFFCKQRHPBTFEHHGMYEYZKMHMLCXGYMOBQWDWBKUKMWG(14x9)UKBZYCSGQOODPD(47x12)(40x14)DKXLLEKAEJVWGQXTCTLETCIUZSYEEWKCKRPLRJCE(2107x14)(1382x12)(30x14)FPWYVMBIVHPTGLYHNVOYPZJNTYGBLD(634x2)(205x13)(8x4)(2x15)SL(80x9)(31x1)JTSPSMAINXBNBRZSMHMHUHJGLRGIPIH(4x7)VTSS(27x15)JFZCAMFRUURZSHSTIVBSKIAPZIX(50x7)(2x2)QT(1x5)J(10x7)INLBBWLCQL(14x10)KWIOCPXLDWKSGM(43x15)(5x13)ILDAJ(2x15)IC(6x7)POOTGI(7x15)ELBGODE(3x3)VKN(145x11)(42x15)(4x15)DZCR(4x9)AUQA(3x8)HJC(2x4)KO(3x4)GNF(7x6)(1x11)V(17x14)MTGGJYEKVTYWMHHUZ(45x9)(1x11)F(5x3)APNHX(21x13)EVNIMEHDVXSNUMKDBPOGP(4x7)DSOZ(23x6)FLGNEPLSWXZINJWHCFCDAFG(223x15)(27x3)(7x7)PAUXORX(4x2)TLPT(1x2)W(40x4)RBVJKPRYUGQSDLQWGFXOOECMZHPXLCPZSEUDGZYU(16x5)QUZGZJYILGSXEUVC(108x5)(2x13)YN(20x3)TYROWFOSZUYJBXBEJRNC(41x3)SIVTZCQLSYVYMXQCVGOFLLTQOEHDRMVBPHQTZGBVB(2x6)WA(14x8)DUUYEPEYZCBBTQ(2x1)EJ(1x8)S(217x7)(38x12)(1x10)S(9x1)(3x15)MYE(11x9)DEJNGHTACYT(2x9)BI(8x3)XBWRQDFS(125x1)(44x12)TGIQMKGHFKZHKBGNSBOLUEWGVFESIODDGFXALDVVAEAB(6x5)(1x1)H(57x5)(16x10)HZFCMNMENWJQEGPN(14x10)BRUJTSJNSNUPWZ(7x15)GHVCAGA(14x4)AXZJRFABNDFCTX(467x4)(29x6)(12x6)UMTKEGMHMLKR(6x9)VTIOBO(84x6)(1x3)L(38x10)(4x10)QQWK(3x10)EZD(13x5)RODNWCXNHDDIN(1x2)D(5x9)QOMXK(11x3)(5x10)XFDOS(183x2)(45x9)(19x13)ZLDTRTVALUZDZFMBLRF(13x1)WLZJWFWHQDTXW(6x15)WXWECV(34x9)(22x8)TUZJKDDHIEPMGAOBLFPIKV(1x1)L(32x14)(7x15)RWLJBXP(12x10)ETCCOCHZBAJR(35x9)(2x8)LN(22x7)BVZUFUJXSEZCASMTJPXJCL(145x6)(8x13)YDNMOBOP(31x7)HLDVSBEFYZNKGTZGYYAOBHNDSEOCOLV(44x1)(17x10)NTEASXSWQIGFJKGBW(6x2)PAIMIB(4x6)ISAI(38x6)PYHNNTLMSKFYIKJPJLEPRZWROAVZEEBZDTZXOA(555x15)(30x15)(14x14)(9x1)PZDIOWWVR(3x15)UPI(8x3)FLACUNUS(234x6)(93x6)(5x11)MSFAR(43x10)LZLKBLPCOVZLUEUNSETMBXZAUXPZOCRAFGIZYWYWFJJ(25x10)SOYROQRUMQRCQDGSCDQMDDXUE(28x5)(7x8)BFZQPAD(10x2)OOMRNMVYMP(95x9)(82x8)(56x9)ADFRMHBZMIRIRXFXFEOUDSSWBXWFSNGFYLYQBKTYIAGDODMYUZBNCXBW(14x7)DECKFWHMDQZEVW(2x7)US(245x8)(237x12)(37x11)(4x5)HSUQ(6x2)CSJSZF(1x15)P(4x12)DHDC(6x2)WDBEKI(86x13)(13x11)LMCFYGVEQYOXG(6x11)FXWKPE(28x14)CXMLNWBEIBXFVYBQFYYXMLEYXTHV(2x1)JM(6x11)JWRQGX(75x2)(19x12)HLEFCHHUNNVPKRHBSNI(3x4)XXO(1x6)G(9x3)DZZZLJAVA(14x12)SVOGFHGOMILNDY(2x11)AE(7x8)CPRSIEM(146x7)(63x4)(40x10)(8x12)HREXHQQV(19x15)NHFTETPZOGQPMTTJWGB(10x7)FFHJQIKKUU(5x2)EZYSH(45x9)AFCEPUTOJXPKWXVHESXCDAVONUSGBXYDGOTJKMWLUDSGZ(10x1)GFFOMDSVJK(2255x8)(1313x13)(195x1)(12x14)JRMGJMPSIAYP(3x12)ZVU(94x8)(88x8)(7x12)QYRZOXQ(3x14)MST(4x6)PWFV(30x14)RGBUFBIYCLOYCEBCLRIRIZMKETCHGD(13x13)PRWWNBYPOSCEG(60x14)(16x15)(10x4)UCXJKCLUSZ(31x3)(11x7)OLFIDYNWARC(9x2)BTJJVYABK(225x7)(22x7)(9x14)MKXZMAXWG(1x14)T(143x9)(92x8)(4x4)EANM(21x12)CJWPGDXEAFVKCURLZVSQY(9x6)MYOKSEXFF(20x8)NWMYBGSNAJETPYOZAHMI(9x11)LLIHLSEGK(29x13)(3x3)ZOU(15x8)ICTPRUAEUAWJZQO(3x14)EJT(40x11)GZXXFRLDZWBUDVWUSOGTJQBZPIUKEOFGEPEJXZLZ(477x9)(102x1)(68x10)(8x8)OEYUDLGQ(29x15)WJZNVYTMKGLBBCKRNCFEXZTXHRFXF(12x11)EONHXGVTERDU(1x9)X(15x2)EUHJXCNQDRKGQEE(78x14)(1x5)W(5x5)FOPSO(56x4)(12x13)LJIFRANVTMFW(2x2)VL(7x5)NAFLCBH(2x9)QX(6x2)JUKNXC(72x12)(8x15)TWYEERLN(16x1)(3x8)PUO(2x13)PQ(9x7)YZMEDORQL(16x4)ANAFFSKWYANYZFYC(197x2)(63x10)(30x14)FKMXZDDPOPETLQAOOHOICGGIRSCNVZ(3x7)NAG(11x12)IUDUKASSBPH(41x14)(2x11)KI(9x8)GWDWTFLRM(13x3)UJAXLOTXDJBAY(1x13)E(10x3)VBYFHVSFGE(50x8)(18x6)PHXVXMBBASFGMIAEPS(7x8)RMTGOVA(9x7)YCVBGFGQE(249x9)(6x6)PTMNTP(2x1)UN(223x15)(3x5)LIN(7x9)QSGULSS(95x12)(9x3)NEOVNFGHW(11x12)SYNKHCNJNRK(5x14)BZFDK(39x6)DWYDUKQFGNRMHHKADEUPMVEAEITNPMGHQVZEUIX(1x14)W(22x3)(1x6)K(1x7)B(5x4)UJYOI(67x4)(22x8)AXLCJBGMPEYBFCPCGAJYOP(33x9)WQRLFGPDCIDEFSFJBCECXNHEAHQQZTHKQ(132x9)(65x8)(3x10)YCV(50x8)(3x14)SGM(7x4)DKYSOFD(3x13)NAV(14x9)ISWITRFROOLPAL(26x3)(5x10)MRQPE(2x6)KE(2x11)YM(10x13)ZKLAZMLQLK(6x14)YPAVRE(624x3)(181x7)(68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ZETPSJACZFSECV(17x2)OJNQOYVYXIOGFTHEW(30x15)WNOSVAFBXUNHLQNMVAXMKLFBMVEKMD(23x6)(17x9)(11x3)XIHYQHJWHVD(125x14)(7x4)ICFHBLA(72x4)(9x15)KJVZFZXXL(18x12)BRLFGPARHILSEGLVFB(3x12)GFX(6x5)TISUXV(7x7)WMQUWIT(28x13)(22x7)YISLXULNQPVSBKABASDWSV(10x14)VETBLITIAF(13x10)QHUXBIHXPZTMC(75x11)(68x10)(61x13)(54x10)(1x2)O(31x7)MEBIZTAYPUAPGQAYWMUTGOIHMRWVBIE(6x6)ZTHNRO(49x11)(43x5)(3x6)OSC(8x8)LJQDDOGZ(15x10)XWHFNHTLUSZUJMQ(140x13)(98x3)(35x9)YQBPVSDYFKTUEVECOYYVSYKBPPIMHGEGJHH(19x3)LYLRVPIJVTJIKIAQSHG(2x5)MD(4x4)GVME(10x6)CDSWCITZPL(4x8)PQFV(2x2)QJ(14x8)LDAXJWGUMKLVRU(110x13)(3x3)UQX(6x10)TGVLKX(11x5)UCBHONGLAUP(66x15)(12x2)YIMWRKDRBRJN(13x12)IZQOYGTUNZTGV(22x3)ZQDTFHLZBTTHCWPKHDDTPY(56x6)(3x3)HEU(10x9)UKOZORNJWY(25x10)YIJVCIZSIGVAZFRSCAPFFKQQM(97x11)(91x3)(8x7)FHJNTEYH(15x13)FOARJPQAZBXCHUD(3x5)CWW(18x15)YNCIIAHKAFMQZCMTRF(16x12)SPSNBWDRIFLOGUZW(148x15)(89x14)(14x5)ETRROSLESWBLWP(7x13)LRPWUCK(5x12)ANFDM(31x3)SPFASFSHXEBCITEEKEPRHJVTSEMHBVL(2x10)QA(46x7)(3x4)JJE(32x7)YVAPHWJEYIOEXKEBJMJQHIHIVLEWSSDP(24x13)(8x14)BZUKOVBV(5x2)XXUYW(2x10)CS''' print("Length of unzipped file: ", unzip_len(zipped))

679.823529

11,050

0.832569

1,508

11,557

6.372016

0.71618

0.003642

0.004579

0.004371

0.003538

0

0.229725

0.012027

11,557

16

11,051

722.3125

0.611841

0

0.071429

0.95864

0.954833

0

1

0.071429

false

0

0.071429

0

0.214286

0.071429

0

null

0

1

0

1

0

1

null

0

5

457f53e93aa3f918c3ea442acec6ebdd24ca795d

344

py

Python

tests/context.py

efebarlas/ihale

4cd647e1048287e0e106a961f1e360a9c44de0c8

[ "MIT" ]

null

tests/context.py

efebarlas/ihale

4cd647e1048287e0e106a961f1e360a9c44de0c8

[ "MIT" ]

null

tests/context.py

efebarlas/ihale

4cd647e1048287e0e106a961f1e360a9c44de0c8

[ "MIT" ]

null

import os import sys sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) from ihaleGozlemevi.lib import data_driven_design # noqa # pylint: disable=unused-import, wrong-import-position, import-error from ihaleGozlemevi.lib import utils # noqa # pylint: disable=unused-import, wrong-import-position, import-error

49.142857

125

0.784884

50

344

5.28

0.48

0.068182

0.159091

0.204545

0.44697

0

0.003185

0.087209

344

6

126

57.333333

0.83758

0.421512

0

0.010309

0

1

0

true

0

0.8

0

0.8

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

45ab6bd0a1a299b5999e39855b53dc908b104989

40

py

Python

py2gmsh/__init__.py

tridelat/py2gmsh

bfa0cd69506af359b39bb95c239a1faf7b47286a

[ "MIT" ]

4

2019-05-24T12:44:53.000Z

2021-01-24T05:30:10.000Z

py2gmsh/__init__.py

tridelat/py2gmsh

bfa0cd69506af359b39bb95c239a1faf7b47286a

[ "MIT" ]

2

2019-10-15T05:33:14.000Z

2020-03-13T09:54:04.000Z

py2gmsh/__init__.py

tridelat/py2gmsh

bfa0cd69506af359b39bb95c239a1faf7b47286a

[ "MIT" ]

5

2019-06-14T05:55:36.000Z

2021-04-01T08:33:35.000Z

from .Mesh import (Mesh, geometry2mesh)

20

39

0.775

5

40

6.2

0.8

0

0.028571

0.125

40

1

40

0.857143

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

afe7c3dd1bfb0c2f36ddfa24856d45bd02dcb36e

176

py

Python

maestrofinder_app/admin.py

BethanyFolino/MaestroFinder

88a912cfbbe49725d408c796d64216b3bfaafa95

[ "MIT" ]

null

maestrofinder_app/admin.py

BethanyFolino/MaestroFinder

88a912cfbbe49725d408c796d64216b3bfaafa95

[ "MIT" ]

null

maestrofinder_app/admin.py

BethanyFolino/MaestroFinder

88a912cfbbe49725d408c796d64216b3bfaafa95

[ "MIT" ]

null

from django.contrib import admin from maestrofinder_app.models import Musician, Request # Register your models here. admin.site.register(Musician) admin.site.register(Request)

29.333333

54

0.835227

24

176

6.083333

0.583333

0.123288

0.232877

0

0.090909

176

6

55

29.333333

0.9125

0.147727

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

afec68a22746ddfa0ca46a00022a9b5e2b429807

48

py

Python

src/server_py3/aps/src/wes/api/v3/search/__init__.py

kfrime/yonder

cd2f491c24f8552aeadd6ee48c601e1194a2e082

[ "MIT" ]

null

src/server_py3/aps/src/wes/api/v3/search/__init__.py

kfrime/yonder

cd2f491c24f8552aeadd6ee48c601e1194a2e082

[ "MIT" ]

12

2020-01-04T03:30:02.000Z

2021-06-02T01:22:45.000Z

src/server_py3/aps/src/wes/api/v3/search/__init__.py

kfrime/yonder

cd2f491c24f8552aeadd6ee48c601e1194a2e082

[ "MIT" ]

null

#!/usr/bin/env python3 from . import search

12

23

0.666667

7

48

4.571429

1

0

0.026316

0.208333

48

3

24

16

0.815789

0.4375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

aff59ff593ee623ba52d025d0760b984bc8a65da

23

py

Python

PCTC/2018 R2/Q3.py

object-oriented-human/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

1

2022-02-21T15:43:01.000Z

PCTC/2018 R2/Q3.py

foooop/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

null

PCTC/2018 R2/Q3.py

foooop/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

null

print("E"*len(input()))

23

0.608696

4

23

3.5

1

0

23

1

23

0.608696

0

0.041667

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b327c39eab0151db148160f1337539ebaccf6d70

88

py

Python

doubletdetection/__init__.py

granatumx/gbox-doubletdetection

0b8f421d79470a2c7a132eab082482991b9d7d64

[ "MIT" ]

1

2018-11-24T21:57:07.000Z

doubletdetection/__init__.py

granatumx/gbox-doubletdetection

0b8f421d79470a2c7a132eab082482991b9d7d64

[ "MIT" ]

null

doubletdetection/__init__.py

granatumx/gbox-doubletdetection

0b8f421d79470a2c7a132eab082482991b9d7d64

[ "MIT" ]

3

2018-07-12T09:31:59.000Z

2021-07-16T22:41:56.000Z

from .doubletdetection import BoostClassifier, load_mtx, load_10x_h5 from . import plot

29.333333

68

0.840909

12

88

5.916667

0.75

0

0.038462

0.113636

88

2

69

44

0.871795

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b3400b8a564fe7bffdca86a806615498e87f8cb3

103

py

Python

itdagene/app/pages/admin.py

itdagene-ntnu/itdagene

b972cd3d803debccebbc33641397a39834b8d69a

[ "MIT" ]

9

2018-10-17T20:58:09.000Z

2021-12-16T16:16:45.000Z

itdagene/app/pages/admin.py

itdagene-ntnu/itdagene

b972cd3d803debccebbc33641397a39834b8d69a

[ "MIT" ]

177

2018-10-27T18:15:56.000Z

2022-03-28T04:29:06.000Z

itdagene/app/pages/admin.py

itdagene-ntnu/itdagene

b972cd3d803debccebbc33641397a39834b8d69a

[ "MIT" ]

null

from django.contrib import admin from itdagene.app.pages.models import Page admin.site.register(Page)

20.6

42

0.825243

16

103

5.3125

0.75

0

0.097087

103

4

43

25.75

0.913978

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2fa53a5d7a882e41a6d7670efc92e83158c7f854

676

py

Python

medicine/views.py

yhk24356/Open_Source_Programming

d63b6d0393e6615b1d070dbcc49fe542052aa89f

[ "Unlicense", "MIT" ]

null

medicine/views.py

yhk24356/Open_Source_Programming

d63b6d0393e6615b1d070dbcc49fe542052aa89f

[ "Unlicense", "MIT" ]

null

medicine/views.py

yhk24356/Open_Source_Programming

d63b6d0393e6615b1d070dbcc49fe542052aa89f

[ "Unlicense", "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse # Create your views here. def cold_medicine(request): return render(request, 'medicine/cold_medicine.html') def back_pain_medicine(request): return render(request, 'medicine/back_pain_medicine.html') def headache_medicine(request): return render(request, 'medicine/headache_medicine.html') def muscle_pain_medicine(request): return render(request, 'medicine/muscle_pain_medicine.html') def stomachache_medicine(request): return render(request, 'medicine/stomachache_medicine.html') def toothache_medicine(request): return render(request, 'medicine/toothache_medicine.html')

32.190476

64

0.798817

84

676

6.238095

0.27381

0.171756

0.240458

0.30916

0.496183

0.175573

0

0.106509

676

21

65

32.190476

0.86755

0.034024

0

0.291411

0

1

0.428571

false

0

0.142857

0.428571

1

0

null

0

1

0

null

0

1

0

1

0

5

2ff247b2de5feabd164f9764f9e59fd05c8d43b3

59

py

Python

bpreg/inference/__init__.py

MIC-DKFZ/BodyPartRegression

e6c686c97b9c75f80acd3b2e9ea9ec4818b008f0

[ "Apache-2.0" ]

30

2021-07-29T15:16:42.000Z

2022-03-29T13:18:54.000Z

bpreg/inference/__init__.py

MIC-DKFZ/BodyPartRegression

e6c686c97b9c75f80acd3b2e9ea9ec4818b008f0

[ "Apache-2.0" ]

1

2022-01-24T11:28:15.000Z

2022-01-24T11:31:30.000Z

bpreg/inference/__init__.py

MIC-DKFZ/BodyPartRegression

e6c686c97b9c75f80acd3b2e9ea9ec4818b008f0

[ "Apache-2.0" ]

4

2021-08-13T03:43:37.000Z

2022-03-11T07:16:45.000Z

from bpreg.inference.inference_model import InferenceModel

29.5

58

0.898305

7

59

7.428571

0.857143

0

0.067797

59

1

59

0.945455

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6442ce653390ea808ed18fd94793d8f3c5779bba

133

py

Python

bot/product_filters/__init__.py

hqrrylyu/ob-eshop-telegram-bot

201547cbe309b7302fc2f4c94128d4621064f967

[ "MIT" ]

null

bot/product_filters/__init__.py

hqrrylyu/ob-eshop-telegram-bot

201547cbe309b7302fc2f4c94128d4621064f967

[ "MIT" ]

6

2019-10-04T14:00:06.000Z

2019-11-13T18:53:55.000Z

bot/product_filters/__init__.py

hqrrylyu/ob-eshop-telegram-bot

201547cbe309b7302fc2f4c94128d4621064f967

[ "MIT" ]

null

# flake8: noqa from .choices import FILTER_CHOICES_GETTERS, FilterChoice, get_filter_choice from .filters_dict import ProductFilters

33.25

76

0.857143

17

133

6.411765

0.764706

0

0.008333

0.097744

133

3

77

44.333333

0.9

0.090226

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ff38db8d74da1ce5f7f061145664d23d62fd2f58

40

py

Python

avazu_ctr_prediction/__init__.py

aflaisler/kaggle-avazu-ctr

8acbed0f732d72146127076b07f61568212e1d0c

[ "BSD-3-Clause" ]

null

avazu_ctr_prediction/__init__.py

aflaisler/kaggle-avazu-ctr

8acbed0f732d72146127076b07f61568212e1d0c

[ "BSD-3-Clause" ]

null

avazu_ctr_prediction/__init__.py

aflaisler/kaggle-avazu-ctr

8acbed0f732d72146127076b07f61568212e1d0c

[ "BSD-3-Clause" ]

null

"""avazu_ctr_prediction main module."""

20

39

0.75

5

40

5.6

1

0

0.075

40

1

40

0.756757

0.825

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

ff511b22e92d461a0507d78a6cc01351cecb2320

92

py

Python

LaU/functions/__init__.py

HolmesShuan/Location-aware-Upsampling-for-Semantic-Segmentation

83822e86570bbff4ca721d80089b5d82f1958852

[ "BSD-2-Clause" ]

51

2019-11-14T01:48:24.000Z

2021-11-09T02:42:22.000Z

LaU/functions/__init__.py

HolmesShuan/Location-aware-Upsampling-for-Semantic-Segmentation

83822e86570bbff4ca721d80089b5d82f1958852

[ "BSD-2-Clause" ]

4

2019-11-15T10:14:10.000Z

2020-03-17T12:14:50.000Z

LaU/functions/__init__.py

HolmesShuan/Location-aware-Upsampling-for-Semantic-Segmentation

83822e86570bbff4ca721d80089b5d82f1958852

[ "BSD-2-Clause" ]

9

2019-11-14T12:39:03.000Z

2020-03-03T08:27:19.000Z

from .location_aware_upsampling_func import LAUFunction, LDUFunction, LDUMultiOutputFunction

92

0.913043

9

92

9

1

0

0.054348

92

1

92

0.931034

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ff78bf18ed93e5118fa3d03ffc5bdd1ebdd3c9dc

39

py

Python

examples/dd_app/ruleset_settings_local.py

datadealer/dd_app

3806b9b9df165a49f0fca8a249170b4ccd4d0177

[ "Artistic-2.0" ]

2

2018-12-17T10:10:49.000Z

2018-12-17T11:18:32.000Z

examples/dd_app/ruleset_settings_local.py

datadealer/dd_app

3806b9b9df165a49f0fca8a249170b4ccd4d0177

[ "Artistic-2.0" ]

null

examples/dd_app/ruleset_settings_local.py

datadealer/dd_app

3806b9b9df165a49f0fca8a249170b4ccd4d0177

[ "Artistic-2.0" ]

1

2021-06-06T22:28:12.000Z

RULEPATH = '/home/dd_app/src/dd_rules'

19.5

38

0.74359

7

39

3.857143

0.857143

0

0.076923

39

1

39

0.75

0

0.641026

0

1

0

false

0

1

0

null

0

1

0

1

null

0

5