xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

9d2c47d2a4a53ec7d5d7c11de24ee08281811ee8

365

py

Python

dvgutils/modules/video_capture/__init__.py

jagin/dvg-utils

a7d19ead75398b09a9f1e146464cf4227f06a476

[ "MIT" ]

7

2020-09-02T08:39:22.000Z

2021-10-13T18:13:04.000Z

dvgutils/modules/video_capture/__init__.py

jagin/dvg-utils

a7d19ead75398b09a9f1e146464cf4227f06a476

[ "MIT" ]

null

dvgutils/modules/video_capture/__init__.py

jagin/dvg-utils

a7d19ead75398b09a9f1e146464cf4227f06a476

[ "MIT" ]

null

from .file_video_capture import FileVideoCapture, FileVideoCaptureThreaded from .camera_video_capture import CameraVideoCapture, CameraVideoCaptureThreaded from .pi_camera_video_capture import PiCameraVideoCapture, PiCameraVideoCaptureThreaded from .stream_video_capture import StreamVideoCapture, StreamVideoCaptureThreaded from .video_capture import VideoCapture

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9d4109a4e54c99a3c58a624abe5845acb0c9b809

367

py

Python

TeddyMark/text.py

leosavioli2019/TeddyMark

fed3963dd0bd5e84dbe603ed380a893576f674d4

[ "MIT" ]

1

2021-04-10T15:09:17.000Z

TeddyMark/text.py

leosavioli2019/TeddyMark

fed3963dd0bd5e84dbe603ed380a893576f674d4

[ "MIT" ]

null

TeddyMark/text.py

leosavioli2019/TeddyMark

fed3963dd0bd5e84dbe603ed380a893576f674d4

[ "MIT" ]

null

def copright(): print("TeddyMark, By Leonard Fuzzo Savioli") print("©TeddyMark Lang") print("Type compile to compile your program") print("--------------------------") def imperative(): print("TeddyMark imperative mode") print("Coprighty ©TeddyMark Lang") print("--------------------------") def license(): print(open("license.txt", 'r').read())

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1

0

4

9d482fc1044c74695b74e20854ba3cb2254020db

158

py

Python

excript/lista3/q2.py

victorers1/anotacoes_curso_python

c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e

[ "MIT" ]

null

excript/lista3/q2.py

victorers1/anotacoes_curso_python

c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e

[ "MIT" ]

null

excript/lista3/q2.py

victorers1/anotacoes_curso_python

c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e

[ "MIT" ]

null

inf = int(input("Digiteo limite inferior do intervalo: ")) sup = int(input("Digiteo limite superior do intervalo: ")) for i in range(inf,sup+1): print(i)

31.6

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19cb2cf6c18b2c229a9b566dade51713ff1b49b4

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py

Python

talon_draft_window/__init__.py

CameronSBell/knausj_talon

3e57e0165257cf07b0e21880d44a91e79cb3ef16

[ "MIT" ]

298

2020-02-23T03:00:51.000Z

2022-03-30T02:11:00.000Z

talon_draft_window/__init__.py

CameronSBell/knausj_talon

3e57e0165257cf07b0e21880d44a91e79cb3ef16

[ "MIT" ]

521

2020-02-21T18:21:17.000Z

2022-03-31T16:40:34.000Z

talon_draft_window/__init__.py

CameronSBell/knausj_talon

3e57e0165257cf07b0e21880d44a91e79cb3ef16

[ "MIT" ]

499

2020-03-07T05:43:52.000Z

2022-03-28T12:24:54.000Z

# Used so we can use pytest to run this sub-package's tests

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1

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4

19dc18630ffaa09ee1ba5d3eb7ab3fd90a153870

446

py

Python

Session/tf_Session.py

Asurada2015/TFAPI_translation

1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf

[ "Apache-2.0" ]

7

2017-10-19T13:59:24.000Z

2019-11-26T03:40:08.000Z

Session/tf_Session.py

Asurada2015/TFAPI_translation

1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf

[ "Apache-2.0" ]

null

Session/tf_Session.py

Asurada2015/TFAPI_translation

1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf

[ "Apache-2.0" ]

5

2018-08-22T02:57:03.000Z

2020-03-05T07:14:21.000Z

"""Session类负责数据流图的执行,构造方法为 def __init__(self, target='', graph=None, config=None): target指定了所要使用的执行引擎,对于大多数的应用该参数取为默认的空白字符串, 在分布式设置中选择使用Session对象时,该参数用于连接不同的tf.train.Server实例 graph参数指定了将要在Session对象中加载的Graph对象,其默认值为None,表示将使用当前默认的数据流图. 当时用多个数据流图时,最好的方式是显式的传入你希望运行的Graph对象(而非在于一个with语句快中创建Session对象) config参数允许用户指定配置的Session对象所需的选项,如限制CPU或GPU的使用数目,为数据流图设置优化参数及日志选项在典型的Tensorflow程序中,创建Session对象无需改变任何默认构造参数""" import tensorflow as tf tf.Session()

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null

0

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1

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4

19e075f2b5bb10b649b4a52784ecfe9784266d24

111

py

Python

goldenmask/__main__.py

youngquan/goldenmask

5b16eea94df7ddd988fae0c1a4e265b16af9ded2

[ "Apache-2.0" ]

6

2020-04-28T18:13:54.000Z

2021-12-23T18:26:30.000Z

goldenmask/__main__.py

youngquan/goldenmask

5b16eea94df7ddd988fae0c1a4e265b16af9ded2

[ "Apache-2.0" ]

1

2020-04-28T18:08:46.000Z

2020-04-30T12:49:46.000Z

goldenmask/__main__.py

youngquan/goldenmask

5b16eea94df7ddd988fae0c1a4e265b16af9ded2

[ "Apache-2.0" ]

1

2020-08-18T21:03:39.000Z

import sys if "__name__" == "__main__": from goldenmask.cli import goldenmask sys.exit(goldenmask())

15.857143

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0.693694

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111

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null

0

1

0

1

0

4

c22479a66019470b19d6bc398c914f15896d73e9

166

py

Python

gfypy/http/__init__.py

badmagick329/gfypy

7b2cce3a8945567078c6529887e82972ff913275

[ "MIT" ]

7

2020-04-27T14:56:21.000Z

2022-01-17T00:02:30.000Z

gfypy/http/__init__.py

badmagick329/gfypy

7b2cce3a8945567078c6529887e82972ff913275

[ "MIT" ]

5

2020-05-16T15:39:46.000Z

2021-04-01T18:14:52.000Z

gfypy/http/__init__.py

badmagick329/gfypy

7b2cce3a8945567078c6529887e82972ff913275

[ "MIT" ]

2

2020-05-19T00:35:18.000Z

2021-12-13T03:15:23.000Z

try: from .async_http import AsyncHttpClient except ImportError: pass from .sync_http import SyncHttpClient __all__ = ["AsyncHttpClient", "SyncHttpClient"]

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1

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4

dfa7232a453832c826b423d090d13e985d3b2626

72

py

Python

locale/pot/api/plotting/_autosummary/pyvista-themes-_DepthPeelingConfig-occlusion_ratio-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

4

2020-08-07T08:19:19.000Z

2020-12-04T09:51:11.000Z

locale/pot/api/plotting/_autosummary/pyvista-themes-_DepthPeelingConfig-occlusion_ratio-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

19

2020-08-06T00:24:30.000Z

2022-03-30T19:22:24.000Z

locale/pot/api/plotting/_autosummary/pyvista-themes-_DepthPeelingConfig-occlusion_ratio-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

1

2021-03-09T07:50:40.000Z

import pyvista pyvista.global_theme.depth_peeling.occlusion_ratio = 0.0

24

56

0.861111

11

72

5.363636

0.818182

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0.029851

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true

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0

1

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null

0

1

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1

0

4

dfac844cf046f2db92975647024eb03808fd6c5c

276

py

Python

Ago-Dic-2019/Jorge Alberto Hernandez Sanchez/Practicas/Practica1/3.8_Seeing_The_World.py

Arbupa/DAS_Sistemas

52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1

[ "MIT" ]

41

2017-09-26T09:36:32.000Z

2022-03-19T18:05:25.000Z

Ago-Dic-2019/Jorge Alberto Hernandez Sanchez/Practicas/Practica1/3.8_Seeing_The_World.py

Arbupa/DAS_Sistemas

52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1

[ "MIT" ]

67

2017-09-11T05:06:12.000Z

2022-02-14T04:44:04.000Z

Ago-Dic-2019/Jorge Alberto Hernandez Sanchez/Practicas/Practica1/3.8_Seeing_The_World.py

Arbupa/DAS_Sistemas

52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1

[ "MIT" ]

210

2017-09-01T00:10:08.000Z

2022-03-19T18:05:12.000Z

lugares = ["Tokio", "New York", "San Francisco", "Monterrey", "Las Vegas"] print(lugares) print(sorted(lugares)) print(lugares) lugares.reverse() print(lugares) lugares.reverse() print(lugares) lugares.sort() print(lugares) lugares.sort(reverse=True) print(lugares)

12

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1

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null

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4

dfc18bc3fc77e0069024017e05938621dfaa37b7

87

py

Python

xiamiu/apps.py

Vida42/xiamiu

9249a20746d1da050546e3fcdfafbc5ff49ab4d0

[ "Apache-2.0" ]

null

xiamiu/apps.py

Vida42/xiamiu

9249a20746d1da050546e3fcdfafbc5ff49ab4d0

[ "Apache-2.0" ]

null

xiamiu/apps.py

Vida42/xiamiu

9249a20746d1da050546e3fcdfafbc5ff49ab4d0

[ "Apache-2.0" ]

null

from django.apps import AppConfig class XiamiuConfig(AppConfig): name = 'xiamiu'

14.5

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0.747126

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87

6.5

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17.4

0.902778

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false

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null

0

1

0

1

0

4

dfcb01dc4fd2eec4a948686d82a856ca5177d65a

1,178

py

Python

tests/test_stats.py

mikecokina/pyopentsdb

b8d78e8f42aed4ebbd6ac3aff925071de41d6b52

[ "MIT" ]

2

2018-05-09T08:34:30.000Z

2018-09-25T22:42:09.000Z

tests/test_stats.py

mikecokina/pyopentsdb

b8d78e8f42aed4ebbd6ac3aff925071de41d6b52

[ "MIT" ]

2

2018-12-24T10:51:30.000Z

2019-01-21T13:55:11.000Z

tests/test_stats.py

mikecokina/pyopentsdb

b8d78e8f42aed4ebbd6ac3aff925071de41d6b52

[ "MIT" ]

null

import unittest from unittest import mock from tests.testutils import get_mock_requests_get from tests.testutils import GeneralUrlTestCase class TsdbStatsTestCase(unittest.TestCase): @mock.patch('requests.Session.get', side_effect=get_mock_requests_get(None)) def test_url_stats(self, _): GeneralUrlTestCase.test_url(self, "/api/stats/", "stats") @mock.patch('requests.Session.get', side_effect=get_mock_requests_get(None)) def test_url_jvm_stats(self, _): GeneralUrlTestCase.test_url(self, "/api/stats/jvm/", "jvm_stats") @mock.patch('requests.Session.get', side_effect=get_mock_requests_get(None)) def test_url_query_stats(self, _): GeneralUrlTestCase.test_url(self, "/api/stats/query/", "query_stats") @mock.patch('requests.Session.get', side_effect=get_mock_requests_get(None)) def test_url_region_clients_stats(self, _): GeneralUrlTestCase.test_url(self, "/api/stats/region_clients/", "region_clients") @mock.patch('requests.Session.get', side_effect=get_mock_requests_get(None)) def test_url_threads_stats(self, _): GeneralUrlTestCase.test_url(self, "/api/stats/threads/", "threads")

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4

dfccbb4cb8d912cfb7bf230ff8708b5d0629934f

167

py

Python

blog/apps.py

epm0dev/Lens-dev

2f34718020ed15ee9a181181e02f62eb3fbadc3b

[ "MIT" ]

null

blog/apps.py

epm0dev/Lens-dev

2f34718020ed15ee9a181181e02f62eb3fbadc3b

[ "MIT" ]

null

blog/apps.py

epm0dev/Lens-dev

2f34718020ed15ee9a181181e02f62eb3fbadc3b

[ "MIT" ]

null

from django.apps import AppConfig # A configuration class for the blog application. class BlogConfig(AppConfig): # Set the application's name. name = 'blog'

20.875

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null

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1

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4

5f0760725b8083cda0c95094541a8ce0c2bfff41

81

py

Python

various/import_order/package_example/__init__.py

sideroff/python-exercises

6a9cc55735d977a71697204c734b3ade84a0c4fd

[ "MIT" ]

null

various/import_order/package_example/__init__.py

sideroff/python-exercises

6a9cc55735d977a71697204c734b3ade84a0c4fd

[ "MIT" ]

4

2020-03-24T18:00:07.000Z

2021-06-02T00:51:22.000Z

various/import_order/package_example/__init__.py

sideroff/python-exercises

6a9cc55735d977a71697204c734b3ade84a0c4fd

[ "MIT" ]

null

# this is an empty file that tells python that the current directory is a package

81

0.802469

15

81

4.333333

0.866667

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81

1

81

0.984848

0.975309

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true

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null

0

1

0

1

0

null

0

1

0

4

5f21336f4a639b59228bafd7a8604746c31eb375

129

py

Python

get_cookies.py

laopan2020/epic-games-claimer

8251ba0075db8ba6fdf34308edd8f1722f2bdf36

[ "MIT" ]

null

get_cookies.py

laopan2020/epic-games-claimer

8251ba0075db8ba6fdf34308edd8f1722f2bdf36

[ "MIT" ]

null

get_cookies.py

laopan2020/epic-games-claimer

8251ba0075db8ba6fdf34308edd8f1722f2bdf36

[ "MIT" ]

null

from epicgames_claimer import login COOKIES_PATH = "cookies.json" if __name__ == "__main__": login(COOKIES_PATH)

14.333333

36

0.697674

15

129

5.266667

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0.303797

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0.217054

129

8

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false

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null

1

0

1

0

null

0

4

a028029830c0a21ab92c825687fb4ac65db3977e

67

py

Python

setup.py

JamesOwers/corrupted_midi_dataset

f827c1b6dc3cb51349fb1f6b5206152aed8c21c6

[ "MIT" ]

29

2019-07-26T00:11:28.000Z

2021-10-22T03:49:29.000Z

setup.py

JamesOwers/corrupted_midi_dataset

f827c1b6dc3cb51349fb1f6b5206152aed8c21c6

[ "MIT" ]

143

2019-06-28T10:29:39.000Z

2021-08-06T13:36:05.000Z

setup.py

JamesOwers/double-jig-gen

bab19baf80894a3e315fbc30d8aa650b12a32ba1

[ "MIT" ]

3

2020-10-10T06:08:43.000Z

2021-02-15T09:13:12.000Z

"""Script for setuptools.""" import setuptools setuptools.setup()

13.4

28

0.746269

7

67

7.142857

0.714286

0

0.104478

67

4

29

16.75

0.833333

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0

1

0

true

0

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0.5

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1

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null

0

1

0

null

0

1

0

1

0

4

a04a85900b51b9516dffb2815a8de6c5420f4e90

238

py

Python

MemeVoteBot/Repository/VoteRepository/i_vote_repository.py

bufo24/telegram-poll-bot

4e8f7b8bedb47aa239132cf2cd043599a562f045

[ "MIT" ]

null

MemeVoteBot/Repository/VoteRepository/i_vote_repository.py

bufo24/telegram-poll-bot

4e8f7b8bedb47aa239132cf2cd043599a562f045

[ "MIT" ]

2

2021-11-19T20:47:54.000Z

2021-11-19T21:04:55.000Z

MemeVoteBot/Repository/VoteRepository/i_vote_repository.py

bufo24/telegram-poll-bot

4e8f7b8bedb47aa239132cf2cd043599a562f045

[ "MIT" ]

1

2021-11-15T18:55:13.000Z

from MemeVoteBot.Models.vote import Vote from MemeVoteBot.Repository.repository import Repository class IVoteRepository(Repository[Vote]): def find_votes_by_userid(self, userid: int) -> list[Vote]: raise NotImplementedError

29.75

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238

6.607143

0.642857

0.162162

0

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238

7

63

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false

0

0.4

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1

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null

0

1

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1

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4

a05062cb56fbc8087658c8442744a3e3aa0be2e9

244

py

Python

Python_do_zero_Guanabara/02_TratandoDadoseFazendoContas/desafio/08_desafio.py

HenriqueSOliver/Projetos_Python

f18c5a343ad1b746a12bd372298b2debe9bc65ec

[ "MIT" ]

null

Python_do_zero_Guanabara/02_TratandoDadoseFazendoContas/desafio/08_desafio.py

HenriqueSOliver/Projetos_Python

f18c5a343ad1b746a12bd372298b2debe9bc65ec

[ "MIT" ]

null

Python_do_zero_Guanabara/02_TratandoDadoseFazendoContas/desafio/08_desafio.py

HenriqueSOliver/Projetos_Python

f18c5a343ad1b746a12bd372298b2debe9bc65ec

[ "MIT" ]

null

#Escreva um programa que leia um valor em metros e converta em centimetros e milimetros. m = float(input('Informe uma metragem: ')) print(f'A metragem informada convertida em centimetros é {m*100:.2f}cm e em milimetros ficaria {m*1000:.0f}mm')

61

111

0.762295

42

244

4.428571

0.738095

0.139785

0

0.042857

0.139344

244

4

111

61

0.842857

0.356557

0

0.5

0.783439

0

1

0

false

0

0.5

0

null

0

1

0

1

0

null

0

1

0

4

a054af9562fe88a8d29de5db4cbdaf8f6940b0d8

131

py

Python

old/translatebin.py

archu2020/python-2

19c626ca9fd37168db8a7ac075fd80c8e2971313

[ "Apache-2.0" ]

48

2017-12-24T12:19:55.000Z

2022-02-26T13:14:27.000Z

old/translatebin.py

17610178081/python

3975c678d985c468deecd03560d882e9d316bb63

[ "Apache-2.0" ]

3

2018-12-05T08:48:14.000Z

2020-07-29T01:56:16.000Z

old/translatebin.py

17610178081/python

3975c678d985c468deecd03560d882e9d316bb63

[ "Apache-2.0" ]

113

2017-08-09T03:10:04.000Z

2022-03-26T16:05:01.000Z

temp=input("请输入一个十进制数：") num=int(temp) print('十进制 -> 二进制 : %d -> ' %num, bin(num)) print('十进制 -> 八进制 : %d -> %o' %(num,num))

26.2

45

0.519084

20

131

3.4

0.6

0.235294

0

0.19084

131

4

46

32.75

0.641509

0

0.393701

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

4

a06700b01c7d1b3f2463336eceef4fa765432384

640

py

Python

python/1018.py

LourdesOshiroIgarashi/uri-begginner

05f7993dfde2c7cc49e5b74907dee6297c82f447

[ "MIT" ]

3

2021-05-17T05:39:08.000Z

2021-05-23T05:14:54.000Z

python/1018.py

LourdesOshiroIgarashi/uri-beginner

05f7993dfde2c7cc49e5b74907dee6297c82f447

[ "MIT" ]

null

python/1018.py

LourdesOshiroIgarashi/uri-beginner

05f7993dfde2c7cc49e5b74907dee6297c82f447

[ "MIT" ]

null

valor = int(input()) a = valor // 100 # 100 b = (valor % 100) // 50 # 50 c = ((valor % 100) % 50) // 20 # 20 d = (((valor % 100) % 50) % 20) // 10 # 10 e = (((valor % 100) % 50) % 20) % 10 // 5 # 5 f = ((((valor % 100) % 50) % 20) % 10) % 5 // 2 # 2 g = (((((valor % 100) % 50) % 20) % 10) % 5) % 2 // 1 # 1 print(valor) print("{} nota(s) de R$ 100,00".format(a)) print("{} nota(s) de R$ 50,00".format(b)) print("{} nota(s) de R$ 20,00".format(c)) print("{} nota(s) de R$ 10,00".format(d)) print("{} nota(s) de R$ 5,00".format(e)) print("{} nota(s) de R$ 2,00".format(f)) print("{} nota(s) de R$ 1,00".format(g))

33.684211

59

0.46875

117

640

2.564103

0.205128

0.186667

0.233333

0.28

0.506667

0.156667

0.106667

0

0.196687

0.245313

640

18

60

35.555556

0.424431

0.028125

0

0.255034

0

1

0

false

0

0.5

0

null

0

1

0

1

0

null

0

1

0

4

a0752034e579fba50856da00334a5ff3a1415f8d

1,847

py

Python

Classfication/DoExpAll.py

raja21068/Android_Malware_Detection

4164eac199c619ab0207f1ad519fd88a2020e356

[ "Apache-2.0" ]

2

2020-09-10T03:53:31.000Z

2020-10-05T14:36:54.000Z

Classfication/DoExpAll.py

raja21068/Android_Malware_Detection

4164eac199c619ab0207f1ad519fd88a2020e356

[ "Apache-2.0" ]

null

Classfication/DoExpAll.py

raja21068/Android_Malware_Detection

4164eac199c619ab0207f1ad519fd88a2020e356

[ "Apache-2.0" ]

2

2020-10-31T09:11:45.000Z

2021-09-10T00:16:52.000Z

import os import MNN import DNN import gc import time """ DNN.main( arffindex=0, datestr_p= "2017-08-12", learningRate_p= 0.01, dropRate_p= 0.2, AllTorOneF_p= True, L1_p= 0.0, L2_p= 0.0, datestr= "2017-08-12", learningRate= 0.01, dropRate= 0.2, AllTorOneF= True, L1= 0.0, L2= 0.0, initflag= True, LoadnEval= False, NoValids= True, NoCallBack= True, NoFreeze= True, noEpoch= 100 ) """ score = MNN.main( arffindex=0, datestr_p= "2017-08-12", learningRate_p= 0.01, dropRate_p= 0.2, AllTorOneF_p= True, L1_p= 0.0, L2_p= 0.0, datestr= "2017-08-12", learningRate= 0.01, dropRate= 0.2, AllTorOneF= True, L1= 0.0, L2= 0.0, initflag= True, LoadnEval= False, NoValids= True, NoCallBack= True, NoFreeze= False, noEpoch= 100 ) """ results = list() for i in range(63): print(i) score = MNN.main( arffindex=i, datestr_p= "2017-08-12", learningRate_p= 0.01, dropRate_p= 0.2, AllTorOneF_p= True, L1_p= 0.0, L2_p= 0.0, datestr= "2017-08-12", learningRate= 0.01, dropRate= 0.2, AllTorOneF= True, L1= 0.0, L2= 0.0, initflag= False, LoadnEval= True, NoValids= True, NoCallBack= True, NoFreeze= True, noEpoch= 100 ) # DNN.main( arffindex=i, # datestr_p= "2017-07-28", # learningRate_p= 0.01, # dropRate_p= 0.2, # AllTorOneF_p= True, # L1_p= 0.0, # L2_p= 0.0, # datestr= "2017-07-28", # learningRate= 0.01, # dropRate= 0.2, # AllTorOneF= True, # L1= 0.0, # L2= 0.0, # initflag= False, # LoadnEval= True, # NoValids= False, # NoCallBack= True, # NoFreeze= True, # noEpoch= 100 ) results.append(score) gc.collect() time.sleep(20) print(results) f = open('genomeMNN.txt','a') f.write(str(score)) f.close() """

18.287129

31

0.585815

274

1,847

3.861314

0.193431

0.030246

0.083176

0.113422

0.799622

0.727788

0.676749

0

0.123636

0.25555

1,847

101

32

18.287129

0.645818

0

0.04329

0

1

0

false

0

0.208333

0

0.208333

0

null

0

1

0

1

0

null

0

4

a093813f6b0e3ec1d6e42d3ad2f4da2b0d61e62b

662

py

Python

DynamicETLDashboard/DynamicETL_Validator/APIs/FlaskAPITemplate.py

BRutan/DynamicETLDashboard

8a40e6f51e53f084d6103ba41cd675916505652f

[ "MIT" ]

null

DynamicETLDashboard/DynamicETL_Validator/APIs/FlaskAPITemplate.py

BRutan/DynamicETLDashboard

8a40e6f51e53f084d6103ba41cd675916505652f

[ "MIT" ]

null

DynamicETLDashboard/DynamicETL_Validator/APIs/FlaskAPITemplate.py

BRutan/DynamicETLDashboard

8a40e6f51e53f084d6103ba41cd675916505652f

[ "MIT" ]

null

##################################### # FlaskAPITemplate.py ##################################### # Description: # * Abstract base class that defines # common functionality interface to convert # groups of Flask classes into xml templates # that can be used to create Flask python applications. from abc import ABC, abstractmethod, abstractproperty from bs4 import BeautifulSoup as Soup class FlaskAPITemplate(ABC): """ * Abstract base class that defines common functionality interface to convert groups of Flask classes into xml templates that can be used to create Flask python applications. """ def __init__(self): pass

28.782609

57

0.664653

74

662

5.891892

0.527027

0.055046

0.077982

0.09633

0.665138

0

0.001852

0.18429

662

22

58

30.090909

0.805556

0.575529

0

1

0.2

false

0.2

0.4

0

0.8

0

null

0

1

0

null

0

1

0

1

0

4

a09a86198731b64079f445414bcfe2727be30cee

105

py

Python

control-api/app/schemas/video_preference.py

Towed-ROV/control-api

e7061e60fae7f5218cf98e856da369be71fe0740

[ "MIT" ]

1

2021-05-10T21:36:59.000Z

control-api/app/schemas/video_preference.py

Towed-ROV/control-api

e7061e60fae7f5218cf98e856da369be71fe0740

[ "MIT" ]

null

control-api/app/schemas/video_preference.py

Towed-ROV/control-api

e7061e60fae7f5218cf98e856da369be71fe0740

[ "MIT" ]

null

from pydantic import BaseModel class VideoPreference(BaseModel): action: str display_mode: str

15

33

0.761905

12

105

6.583333

0.833333

0

0.190476

105

6

34

17.5

0.929412

0

1

0

true

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a0bbc30bc3eb22b29357cd7e0adf0f6946431a11

131

py

Python

grammpy/parsers/__init__.py

PatrikValkovic/grammpy

8308a1fd349bf9ea0d267360cc9a4ab20d1629e8

[ "MIT" ]

1

2021-02-04T12:41:08.000Z

grammpy/parsers/__init__.py

PatrikValkovic/grammpy

8308a1fd349bf9ea0d267360cc9a4ab20d1629e8

[ "MIT" ]

3

2017-07-08T16:28:52.000Z

2020-04-23T18:06:24.000Z

grammpy/parsers/__init__.py

PatrikValkovic/grammpy

8308a1fd349bf9ea0d267360cc9a4ab20d1629e8

[ "MIT" ]

1

2021-02-04T12:41:10.000Z

#!/usr/bin/env python """ :Author Patrik Valkovic :Created 31.08.2017 09:48 :Licence MIT Part of grammpy """ from .CYK import cyk

13.1

25

0.709924

22

131

4.227273

0.954545

0

0.108108

0.152672

131

10

26

13.1

0.72973

0.755725

0

1

0

true

0

1

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

4

39fe6cab1439559c32a906db5e35a19e3aae09d0

57

py

Python

lib/dao/rdbms/market.py

the-constant/fammelody

970fb3a4a5d5d0dffd19f22a8a75cbf226fd57c2

[ "Apache-2.0" ]

null

lib/dao/rdbms/market.py

the-constant/fammelody

970fb3a4a5d5d0dffd19f22a8a75cbf226fd57c2

[ "Apache-2.0" ]

null

lib/dao/rdbms/market.py

the-constant/fammelody

970fb3a4a5d5d0dffd19f22a8a75cbf226fd57c2

[ "Apache-2.0" ]

null

''' Created on Nov 11, 2017 @author: the-constant '''

8.142857

23

0.614035

8

57

4.375

1

0

0.133333

0.210526

57

6

24

9.5

0.644444

0.824561

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

4

2602cad63634facf75dcd0c40df8c234fe287111

220

py

Python

pythonCodigos/Django/quiz-devpro/quiz/base/admin.py

fabiolealsc/estudandoPython

be0e9211ba3d596a15a9427b612c537a102b858e

[ "MIT" ]

3

2021-09-05T16:50:06.000Z

2021-11-08T08:56:51.000Z

pythonCodigos/Django/quiz-devpro/quiz/base/admin.py

fabiolealsc/estudandoPython

be0e9211ba3d596a15a9427b612c537a102b858e

[ "MIT" ]

null

pythonCodigos/Django/quiz-devpro/quiz/base/admin.py

fabiolealsc/estudandoPython

be0e9211ba3d596a15a9427b612c537a102b858e

[ "MIT" ]

null

from django.contrib import admin from quiz.base.models import Pergunta # Register your models here. @admin.register(Pergunta) class PerguntaAdmin(admin.ModelAdmin): list_display = ('id', 'enunciado', 'disponivel')

24.444444

52

0.768182

27

220

6.222222

0.740741

0

0.122727

220

8

53

27.5

0.870466

0.118182

0

0.109375

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

261d9c3271f7db7efc834dd50ee17f688415f3ff

369

py

Python

PyOptimizer/Optimizer.py

alesgaco/PyOptimizer

0b9f47a72d0288df828ef575eac993c31564d1f1

[ "MIT" ]

null

PyOptimizer/Optimizer.py

alesgaco/PyOptimizer

0b9f47a72d0288df828ef575eac993c31564d1f1

[ "MIT" ]

null

PyOptimizer/Optimizer.py

alesgaco/PyOptimizer

0b9f47a72d0288df828ef575eac993c31564d1f1

[ "MIT" ]

null

from PyOptimizer.Model import Model class Optimizer: def __init__(self, model): if(isinstance(model,Model)): self.model = model else: print("Model invalid") pass def setModel(self,model): if (isinstance(model, Model)): self.model = model else: print("Model invalid") pass

23.0625

38

0.560976

39

369

5.205128

0.410256

0.17734

0.108374

0.206897

0.689655

0

0.341463

369

15

39

24.6

0.835391

0

0.714286

0

0.070461

0

1

0.142857

false

0.142857

0.071429

0

0.285714

0.142857

0

null

0

1

0

1

0

1

0

null

0

1

0

4

2626a47292ff4e290bdbf9d0c2ca03580c62db66

5,371

py

Python

Density.py

fireballpoint1/fortranTOpy

55843a62c6f0a2f8e2a777ef70193940d3d2d141

[ "Apache-2.0" ]

1

2018-08-26T05:10:56.000Z

Density.py

fireballpoint1/fortranTOpy

55843a62c6f0a2f8e2a777ef70193940d3d2d141

[ "Apache-2.0" ]

null

Density.py

fireballpoint1/fortranTOpy

55843a62c6f0a2f8e2a777ef70193940d3d2d141

[ "Apache-2.0" ]

1

2018-06-26T18:06:44.000Z

import numpy import sys import conf import math DEN=conf.DEN AN1=conf.AN1 AN2=conf.AN2 AN3=conf.AN3 AN4=conf.AN4 AN5=conf.AN5 AN6=conf.AN6 AN=conf.AN FRAC=conf.FRAC NGAS=conf.NGAS NSTEP=conf.NSTEP NANISO=conf.NANISO EFINAL=conf.EFINAL ESTEP=conf.ESTEP AKT=conf.AKT ARY=conf.ARY TEMPC=conf.TEMPC TORR=conf.TORR IPEN=conf.IPEN NGASN=conf.NGASN BET=conf.BET GAM=conf.GAM VC=conf.VC EMS=conf.EMS # from test_degrad import * def DENSITY(): #IMPLICIT #real*8 (A-H,O-Z) #IMPLICIT #integer*8 (I-N) global DEN #=[0 for x in range(20000)] global AN1,AN2,AN3,AN4,AN5,AN6,AN,FRAC #=[0 for x in range(6)] global NGAS,NSTEP,NANISO,EFINAL,ESTEP,AKT,ARY,TEMPC,TORR,IPEN global NGASN #=[0 for x in range[6]] global BET#=[0 for x in range(2000)] global GAM#=[0 for x in range(20000)] global VC,EMS ############################################### DEN=conf.DEN AN1=conf.AN1 AN2=conf.AN2 AN3=conf.AN3 AN4=conf.AN4 AN5=conf.AN5 AN6=conf.AN6 AN=conf.AN FRAC=conf.FRAC NGAS=conf.NGAS NSTEP=conf.NSTEP NANISO=conf.NANISO EFINAL=conf.EFINAL ESTEP=conf.ESTEP AKT=conf.AKT ARY=conf.ARY TEMPC=conf.TEMPC TORR=conf.TORR IPEN=conf.IPEN NGASN=conf.NGASN BET=conf.BET GAM=conf.GAM VC=conf.VC EMS=conf.EMS ############################################### AND=numpy.zeros(6+1) EIAV=numpy.zeros(80+1) X00=numpy.zeros(80+1) X11=numpy.zeros(80+1) AKS=numpy.zeros(80+1) AAA=numpy.zeros(80+1) JELEC=numpy.zeros(80+1) # DENSITY EFFECT CONSTANTS # EIAV ENERGY IN EV # JELEC NUMBER OF ELECTRONS PER ATOM OR MOLECULE EIAV=[0,115.0,188.0,41.8,41.8,137.0,352.0,482.0,41.7,45.4,47.1,48.3,85.0,0.0,71.6,95.0,82.0,0.0,0.0,0.0,0.0,19.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,128.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,48.3,*36*[0.0]] # print(len(EIAV)) JELEC=[0,42,18,2,2,10,36,54,10,18,26,34,22,0,10,16,14,0,0,0,0,2,0,0,0,0,0,0,0,0,70,0,0,0,0,0,0,0,0,0,0,0,0,0,34]+36*[0] X00=[0,1.70,1.7635,2.2017,2.2017,2.0735,1.7158,1.5630,1.6263,1.5090,1.4339,1.3788,1.6294,0.0,1.7952,1.7541,1.7378,0.0,0.0,0.0,0.0,1.8639,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3788,*36*[0.0]] X11=[0,4.00,4.4855,3.6122,3.6122,4.6421,5.0748,4.7371,3.9716,3.8726,3.8011,3.7524,4.1825,0.0,4.3437,4.3213,4.1323,0.0,0.0,0.0,0.0,3.2718,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7524,*36*[0.0]] AKS=[0,3.00,2.9618,5.8347,5.8347,3.5771,3.4051,2.7414,3.6257,3.6095,3.5920,3.4884,3.3227,0.0,3.5901,3.2913,3.2125,0.0,0.0,0.0,0.0,5.7273,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.4884,*36*[0.0]] AAA=[0,.18551,.19714,.13443,.13443,.08064,.07446,.23314,.09253,0.09627,0.09916,.10852,.11768,0.0,.08101,.11778,.15349,0.0,0.0,0.0,0.0,.14092,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,.177484,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,.10852,*36*[0.0]] # API=numpy.arccos(-1.00) EMS=510998.9280 RE=2.8179403267*(10**-13) ALPH=137.035999074 ABZERO=273.150 ATMOS=760.00 # # DENSITY EFFECT CALCULATION AND[1]=AN1 AND[2]=AN2 AND[3]=AN3 AND[4]=AN4 AND[5]=AN5 AND[6]=AN6 HSUM=0.0 SUM1=0.0 SUMDNOM=0.0 # print(NGAS) for L1 in range(1,NGAS+1): # print("E",EIAV[int(NGASN[L1])],NGASN[L1]) SUM1=SUM1+FRAC[L1]*float(JELEC[int(NGASN[L1])])*math.log(EIAV[int(NGASN[L1])]) SUMDNOM=SUMDNOM+FRAC[L1]*float(JELEC[int(NGASN[L1])]) HSUM=HSUM+AND[L1]*float(JELEC[int(NGASN[L1])]) #22385 EIBAR=math.exp(SUM1/SUMDNOM) # PLASMA ENERGY HWP1=math.sqrt(4.0*API*HSUM*RE**3)*ALPH*EMS # DELDEN=math.log(EIBAR/HWP1) CBAR=1.0+2.0*DELDEN flag=0 #SELF ADDED if(NGAS == 1): #22392 flag=1 # CALC X0 AND X1 if(CBAR < 10.0): X0=1.6 X1=4.0 elif(CBAR >= 4.0 and CBAR < 10.5) : X0=1.7 X1=4.0 elif(CBAR >= 10.5 and CBAR < 11.0) : X0=1.8 X1=4.0 elif(CBAR >= 11.0 and CBAR < 11.5) : X0=1.9 X1=4.0 elif(CBAR >= 11.5 and CBAR < 12.25) : X0=2.0 X1=4.0 elif(CBAR >= 12.25 and CBAR < 13.804) : X0=2.0 X1=5.0 else: X0=0.326*CBAR-1.5 X1=5.0 # endif if(flag==1): AKBAR=3.0 ABAR=(CBAR-2.0*math.log(10.00)*X0)/((X1-X0)**3) elif(flag==0): AKBAR=AKS[int(NGASN[1])] X0=X00[int(NGASN[1])] X1=X11[int(NGASN[1])] ABAR=AAA[int(NGASN[1])] else: pass # CORRECT X0 AND X1 FOR DENSITY CHANGE FROM 20C AND 760 TORR # NB CORRECTION TO CBAR ALREADY DONE DCOR=0.5*math.log10(TORR*293.15/(760.0*(TEMPC+ABZERO))) X0=X0-DCOR X1=X1-DCOR # CALCULATE DENSITY CORRECTION FACTOR ARRAY DEN(20000) AFC=2.0*math.log(10.00) for I in range(1,20000+1): BG=BET[I]*GAM[I] X=math.log10(BG) if(X < X0): DEN[I]=0.0 elif(X > X0 and X < X1) : DEN[I]=ABAR*math.exp(AKBAR*math.log(X1-X))+AFC*X-CBAR else: DEN[I]=AFC*X-CBAR # endif # WRITE(6,99) DEN[I] # 99 print(' DENSITY CORRECTION=',D12.5) conf.DEN=DEN conf.AN1=AN1 conf.AN2=AN2 conf.AN3=AN3 conf.AN4=AN4 conf.AN5=AN5 conf.AN6=AN6 conf.AN=AN conf.FRAC=FRAC conf.NGAS=NGAS conf.NSTEP=NSTEP conf.NANISO=NANISO conf.EFINAL=EFINAL conf.ESTEP=ESTEP conf.AKT=AKT conf.ARY=ARY conf.TEMPC=TEMPC conf.TORR=TORR conf.IPEN=IPEN conf.NGASN=NGASN conf.BET=BET conf.GAM=GAM conf.VC=VC conf.EMS=EMS return # end

27.685567

251

0.611246

1,245

5,371

2.636145

0.191968

0.16819

0.223035

0.274223

0.331505

0.31688

0.293723

0.252285

0.24741

0.236137

0

0.245945

0.150624

5,371

193

252

27.829016

0.473477

0.135729

0

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0

1

0.005952

false

0.005952

0.02381

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0.035714

0

null

0

1

0

1

0

1

0

null

0

4

263f974938517eff4defccb1581e38453ec7e16e

281

wsgi

Python

techBoard.wsgi

tannercrook/techboard

d25e6eeadbfd2cdb3ee35829e09982d7de51b19c

[ "MIT" ]

null

techBoard.wsgi

tannercrook/techboard

d25e6eeadbfd2cdb3ee35829e09982d7de51b19c

[ "MIT" ]

null

techBoard.wsgi

tannercrook/techboard

d25e6eeadbfd2cdb3ee35829e09982d7de51b19c

[ "MIT" ]

null

#!/usr/bin/python import sys import logging import os logging.basicConfig(stream=sys.stderr) sys.path.insert(0,"/var/www/techBoard/techBoard/") from techBoard import app as application application.secret_key = '\xfc\x123\xda\x06\xc8o\xf3\x95\x01\xafaU\\\xc1Z\xa4\xa9C\xddo\x020]'

28.1

94

0.779359

45

281

4.844444

0.8

0

0.068702

0.067616

281

9

95

31.222222

0.763359

0.05694

0

0.142857

0.363636

0

1

0

true

0

0.571429

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

4

26645e95e3379236eb8bdb95863e4cbc5cdc68c8

143

py

Python

Python/Ex005.py

renato-rt/Python

ba033094e1da5b55cf9ce4c8a5cf2cd90247db36

[ "MIT" ]

null

Python/Ex005.py

renato-rt/Python

ba033094e1da5b55cf9ce4c8a5cf2cd90247db36

[ "MIT" ]

null

Python/Ex005.py

renato-rt/Python

ba033094e1da5b55cf9ce4c8a5cf2cd90247db36

[ "MIT" ]

1

2021-11-30T17:34:33.000Z

n = int(input('\033[1;33;1mDigite um número: ')) print('Analisando o valor {} seu antecessor é {} e seu sucessor é {}'.format(n, (n-1), (n+1)))

71.5

94

0.629371

26

143

3.461538

0.730769

0.044444

0

0.073171

0.13986

143

2

94

71.5

0.658537

0

0.631944

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

4

2666ed6ad75f18099eb912daea8218dd0482480e

4,910

py

Python

tests/view/test_publication.py

pauloaugusto-dmf/blog_django

7374e85dd4f0622aefbbb99d27ceb85f19fd1cd8

[ "MIT" ]

2

2021-12-31T22:14:31.000Z

2021-12-31T22:14:34.000Z

tests/view/test_publication.py

pauloaugusto-dmf/blog_django

7374e85dd4f0622aefbbb99d27ceb85f19fd1cd8

[ "MIT" ]

null

tests/view/test_publication.py

pauloaugusto-dmf/blog_django

7374e85dd4f0622aefbbb99d27ceb85f19fd1cd8

[ "MIT" ]

null

import pytest from django.urls import resolve, reverse pytestmark = pytest.mark.django_db class TestHomeView: class TestPublicationHomeView: def test_reverse_resolve(self): assert reverse("publication:home") == "/" assert resolve("/").view_name == "publication:home" def test_status_code(self, client): response = client.get(reverse("publication:home")) assert response.status_code == 200 class TestTopicViews: class TestTopicListView: def test_reverse_resolve(self): assert reverse("publication:list_topic") == "/topic/list/" assert resolve("/topic/list/").view_name == "publication:list_topic" def test_status_code(self, client): response = client.get(reverse("publication:list_topic")) assert response.status_code == 200 class TestTopicCreateView: def test_reverse_resolve(self): assert reverse("publication:create_topic") == "/topic/create/" assert resolve("/topic/create/").view_name == "publication:create_topic" def test_status_code(self, client): response = client.get(reverse("publication:create_topic")) assert response.status_code == 200 class TestTopicUpdateView: def test_reverse_resolve(self, topic): url = reverse("publication:update_topic", kwargs={"slug": topic.slug}) assert url == f"/topic/{topic.slug}/update/" view_name = resolve(f"/topic/{topic.slug}/update/").view_name assert view_name == "publication:update_topic" def test_status_code(self, client, topic): response = client.get( reverse("publication:update_topic", kwargs={"slug": topic.slug}) ) assert response.status_code == 200 class TestTopicDeleteView: def test_reverse_resolve(self, topic): url = reverse("publication:delete_topic", kwargs={"slug": topic.slug}) assert url == f"/topic/{topic.slug}/delete/" view_name = resolve(f"/topic/{topic.slug}/delete/").view_name assert view_name == "publication:delete_topic" def test_status_code(self, client, topic): response = client.get( reverse("publication:delete_topic", kwargs={"slug": topic.slug}) ) assert response.status_code == 200 class TestPostViews: class TestPostListView: def test_reverse_resolve(self): assert reverse("publication:list_post") == "/post/list/" assert resolve("/post/list/").view_name == "publication:list_post" def test_status_code(self, client): response = client.get(reverse("publication:list_post")) assert response.status_code == 200 class TestPostDetailView: def test_reverse_resolve(self, post): url = reverse("publication:detail_post", kwargs={"slug": post.slug}) assert url == f"/post/{post.slug}/" view_name = resolve(f"/post/{post.slug}/").view_name assert view_name == "publication:detail_post" def test_status_code(self, client, post): response = client.get( reverse("publication:detail_post", kwargs={"slug": post.slug}) ) assert response.status_code == 200 class TestPostCreateView: def test_reverse_resolve(self): assert reverse("publication:create_post") == "/post/create/" assert resolve("/post/create/").view_name == "publication:create_post" def test_status_code(self, client): response = client.get(reverse("publication:create_post")) assert response.status_code == 200 class TestPostUpdateView: def test_reverse_resolve(self, post): url = reverse("publication:update_post", kwargs={"slug": post.slug}) assert url == f"/post/{post.slug}/update/" view_name = resolve(f"/post/{post.slug}/update/").view_name assert view_name == "publication:update_post" def test_status_code(self, client, post): response = client.get( reverse("publication:update_post", kwargs={"slug": post.slug}) ) assert response.status_code == 200 class TestPostDeleteView: def test_reverse_resolve(self, post): url = reverse("publication:delete_post", kwargs={"slug": post.slug}) assert url == f"/post/{post.slug}/delete/" view_name = resolve(f"/post/{post.slug}/delete/").view_name assert view_name == "publication:delete_post" def test_status_code(self, client, post): response = client.get( reverse("publication:delete_post", kwargs={"slug": post.slug}) ) assert response.status_code == 200

38.968254

84

0.619756

530

4,910

5.556604

0.092453

0.047538

0.071307

0.832258

0.792869

0.770798

0.66961

0.652971

0.407131

0

0.008253

0.259674

4,910

125

85

39.28

0.801926

0

0.364583

0

0.214868

0.168839

0

0.3125

1

0.208333

false

0

0.020833

0

0.364583

0

null

0

1

0

null

0

1

0

4

266b756013419bd912bd11931a0266d4710b95af

85

py

Python

step_functions/step_functions/settings.example.py

thinkAmi-sandbox/AWS_CDK-sample

8a5c92dd0aba56d0d5c61873e1d0762a26cd8dd4

[ "Unlicense" ]

null

step_functions/step_functions/settings.example.py

thinkAmi-sandbox/AWS_CDK-sample

8a5c92dd0aba56d0d5c61873e1d0762a26cd8dd4

[ "Unlicense" ]

null

step_functions/step_functions/settings.example.py

thinkAmi-sandbox/AWS_CDK-sample

8a5c92dd0aba56d0d5c61873e1d0762a26cd8dd4

[ "Unlicense" ]

null

AWS_SCIPY_ARN = 'arn:aws:lambda:region:account_id:layer:AWSLambda-Python37-SciPy1x:2'

85

0.835294

14

85

4.857143

0.857143

0

0.048193

0.023529

85

1

85

0.771084

0

0.77907

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

13fe772d9f1f29153c6b69b63a77260e462b8a46

200

py

Python

Maths/231. Power of Two.py

thewires2/Leetcode

a37ff81d60dd9195ba637b970b40aabbea5f4680

[ "Unlicense" ]

1

2021-06-30T17:51:56.000Z

Maths/231. Power of Two.py

thewires2/Leetcode

a37ff81d60dd9195ba637b970b40aabbea5f4680

[ "Unlicense" ]

null

Maths/231. Power of Two.py

thewires2/Leetcode

a37ff81d60dd9195ba637b970b40aabbea5f4680

[ "Unlicense" ]

null

class Solution: def isPowerOfTwo(self, n: int) -> bool: if n<0: return False y=str(bin(n))[2:] if y.count("1")==1: return True return False

22.222222

43

0.475

27

200

3.518519

0.703704

0.231579

0

0.033058

0.395

200

8

44

25

0.752066

0

0.25

0

0.005

0

1

0.125

false

0

0.625

0

1

0

null

1

0

1

0

null

0

1

0

4

cd3d207fc113c362c45a73dadd987d170ee21cb9

32,453

py

Python

src/projects/views.py

dianshao-embedded/dianshao

8d4c30e152653fe95ad7b004e64f4686785cdf92

[ "MIT" ]

3

2022-01-14T01:28:34.000Z

2022-01-17T10:58:40.000Z

src/projects/views.py

dianshao-embedded/dianshao

8d4c30e152653fe95ad7b004e64f4686785cdf92

[ "MIT" ]

null

src/projects/views.py

dianshao-embedded/dianshao

8d4c30e152653fe95ad7b004e64f4686785cdf92

[ "MIT" ]

3

2022-01-16T06:15:20.000Z

2022-02-06T07:22:15.000Z

from celery import Task from django.shortcuts import redirect, render from django.template import context from django.urls import reverse from .models import * from .forms import * from .tasks import * from os import path # Create your views here. def project(request): projects = Project.objects.all() form = ProjectModelForm() form_import = ProjectImportForm() if request.method == 'POST': form = ProjectModelForm(request.POST) if form.is_valid(): project = form.save(commit=False) project.project_path = '/home/dianshao/yocto' project.save() result = shell_cmd_task.delay("mkdir %s/%s" % (project.project_path, project.project_name), project.project_path) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break return redirect(reverse('projects:initial', args=(project.id,))) context = { 'projects': projects, 'form': form, 'form_import': form_import, } return render(request, 'projects/projects.html', context) def project_initial(request, project_id): project = Project.objects.get(id=project_id) result = project_initial_task.delay(project.id, project.project_path, project.project_version, project.project_name) return render(request, 'projects/project_initial.html', context={'task_id': result.task_id, 'project_id': project_id}) def project_import(request): if request.method == 'POST': form = ProjectImportForm(request.POST) if form.is_valid(): result = project_import_task.delay('/home/dianshao/yocto', form.cleaned_data['name'], form.cleaned_data['url']) return render(request, 'projects/project_import.html', context={'task_id': result.task_id}) def project_delete(request, project_id): if request.method == 'POST': project = Project.objects.get(id=project_id) result = shell_cmd_task.delay('rm -rf %s' % (path.join(project.project_path, project.project_name)), project.project_path) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break project.delete() return redirect('/projects/') def metas(request, project_id): metas = MetaLayer.objects.filter(project__id=project_id) return render(request, 'projects/metas.html',context={'metas': metas, 'project_id': project_id}) def meta_create(request, project_id): # TODO: add meta-layer to config files project = Project.objects.get(id=project_id) form = MetaModelForm() if request.method == 'POST': form = MetaModelForm(request.POST) if form.is_valid(): result = meta_clone_task.delay(form.cleaned_data['name'], form.cleaned_data['url'], form.cleaned_data['remote_or_local'], form.cleaned_data['sub'], project.id) return render(request, 'projects/meta_create.html', context={'form': form, 'task_id': result.task_id, 'project_id': project_id}) else: return render(request, 'projects/meta_create.html', context={'form': form}) else: return render(request, 'projects/meta_create.html', context={'form': form}) def project_export(request, project_id): result = project_export_task.delay(project_id) return render(request, 'projects/project_export.html', context={'task_id': result.task_id}) def bitbake(request, project_id): # TODO: 决定还是不开发bitbake自由编译权限，只提供myMeta 菜单编译， uboot 编译，内核编译和全项目编译 project = Project.objects.get(id=project_id) form = BuildModelForm() if request.method == 'POST': form = BuildModelForm(request.POST) if form.is_valid(): result = bitbake_progress.delay(project.project_path, project.project_name, form.cleaned_data['target'], form.cleaned_data['command']) return render(request, 'projects/bitbake_cmd.html', context={'form': form, 'task_id': result.task_id, 'project_id': project_id}) else: return render(request, 'projects/bitbake_cmd.html', context={'form': form}) else: return render(request, 'projects/bitbake_cmd.html', context={'form': form}) def mymeta(request, project_id): mypackages = MyPackages.objects.filter(project__id=project_id) mymachines = MyMachine.objects.filter(project__id=project_id) myimages = MyImage.objects.filter(project__id=project_id) context = { 'project_id': project_id, 'mypackages': mypackages, 'mymachines': mymachines, 'myimages': myimages, } return render(request, 'projects/mymeta.html', context) def mypackages(request, project_id): mypackages = MyPackages.objects.filter(project__id=project_id) context = { 'project_id': project_id, 'mypackages': mypackages, } return render(request, 'projects/mypackages.html', context) def myimages(request, project_id): myimages = MyImage.objects.filter(project__id=project_id) context = { 'project_id': project_id, 'myimages': myimages, } return render(request, 'projects/myimages.html', context) def mypackage_create(request, project_id): form = MyPackagesModelForm() if request.method == 'POST': form = MyPackagesModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.project = Project.objects.get(id=project_id) if form_obj.initial_method == 'Systemd': form_obj.inherit = "systemd" elif form_obj.initial_method == 'System-V': form_obj.inherit = 'update-rc.d' if form_obj.language == 'Golang': form_obj.inherit += " goarch" if form_obj.donwload_method == 'git': form_obj.building_directory = "$(WORKDIR)/git" form_obj.save() return redirect(reverse('projects:mypackages', args=(project_id,))) return render(request, 'projects/mypackage_create.html', context={'form': form, 'project_id': project_id}) def mypackage_delete(request, project_id, mypackage_id): if request.method == 'POST': project = Project.objects.get(id=project_id) package = MyPackages.objects.get(id=mypackage_id) result = shell_cmd_task.delay('rm -rf %s' % (path.join(project.project_path, project.project_name, 'meta', package.catagory, package.name)), project.project_path) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break package.delete() return redirect(reverse('projects:mypackages', args=(project_id,))) def mypackage_detail(request, project_id, mypackage_id): project = Project.objects.get(id=project_id) mypackage = MyPackages.objects.get(id=mypackage_id) form = MyPackagesModelForm(instance=mypackage) tasks = Tasks.objects.filter(package__id = mypackage_id).order_by('id') localfiles = LocalFile.objects.filter(package__id = mypackage_id).order_by('id') extraMarcos = ExtraMarco.objects.filter(package__id = mypackage_id).order_by('id') context={ 'form': form, 'tasks': tasks, 'localfiles': localfiles, 'extraMarcos': extraMarcos, 'project_id': project_id, 'mypackage_id': mypackage_id, } if request.method == 'POST': form = MyPackagesModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.project = project form_obj.id = mypackage_id form_obj.save() return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) return render(request, 'projects/mypackage_detail.html', context) def task_create(request, project_id, mypackage_id): form = TaskModelForm() context = { 'form': form, 'project_id': project_id, } if request.method == 'POST': form = TaskModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.package = MyPackages.objects.get(id=mypackage_id) form_obj.save() return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) return render(request, 'projects/task_create.html', context) def task_delete(request, project_id, mypackage_id, task_id): if request.method == 'POST': task = Tasks.objects.get(id=task_id) task.delete() return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) def install_task_create(request, project_id, mypackage_id): form = InstallTaskForm() context = { 'form': form, 'project_id': project_id, } if request.method == 'POST': form = InstallTaskForm(request.POST) if form.is_valid(): package = MyPackages.objects.get(id=mypackage_id) type = 'do_install' subtype = form.cleaned_data['type'] if form.cleaned_data['is_directory'] == 'no': op1 = ("install -d %s" % form.cleaned_data['install_path']) desc1 = ("enter %s" % form.cleaned_data['install_path']) op2 = ("install -m %s %s/%s %s" % (form.cleaned_data['permission'], form.cleaned_data['source_path'], form.cleaned_data['name'], form.cleaned_data['install_path'])) desc2 = ("copy file %s to %s" % (form.cleaned_data['name'], form.cleaned_data['install_path'])) installed_path = form.cleaned_data['install_path'].replace("${D}", "") package.files_pn.append(installed_path) package.save() Tasks.objects.create(package=package, type=type, subtype=subtype, op=op1, description=desc1) Tasks.objects.create(package=package, type=type, subtype=subtype, op=op2, description=desc2) elif form.cleaned_data['is_directory'] == 'yes': op1 = ("install -d %s" % form.cleaned_data['install_path']) desc1 = ("enter %s" % form.cleaned_data['install_path']) op2 = ("cp -r %s/%s %s" % (form.cleaned_data['source_path'], form.cleaned_data['name'], form.cleaned_data['install_path'])) desc2 = ("copy directory %s to %s" % (form.cleaned_data['name'], form.cleaned_data['install_path'])) installed_path = form.cleaned_data['install_path'].replace("${D}", "") package.files_pn.append(installed_path) package.save() Tasks.objects.create(package=package, type=type, subtype=subtype, op=op1, description=desc1) Tasks.objects.create(package=package, type=type, subtype=subtype, op=op2, description=desc2) return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) return render(request, 'projects/install_task_create.html', context) def extra_marco_create(request, project_id, mypackage_id): form = ExtraMarcoModelForm() context = { 'form': form, 'project_id': project_id, } if request.method == 'POST': form = ExtraMarcoModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.package = MyPackages.objects.get(id=mypackage_id) form_obj.save() return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) return render(request, 'projects/extra_marco_create.html', context) def extra_macro_delete(request, project_id, mypackage_id, macro_id): if request.method == 'POST': em = ExtraMarco.objects.get(id=macro_id) em.delete() return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) def file_create(request, project_id, mypackage_id): # TODO: add auto install path target form = LocalFileModelForm() mypackage = MyPackages.objects.get(id=mypackage_id) project = Project.objects.get(id=project_id) context = { 'form': form, 'project_id': project_id, 'mypackage_id': mypackage_id, } if request.method == 'POST': # TODO: Do not SAVE file content! form = LocalFileModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) result = bbfile_localfile_create_task.delay(mypackage.name, mypackage.version, mypackage.type, path.join(project.project_path, project.project_name), form.cleaned_data['name'], form.cleaned_data['content'], mypackage_id) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break form_obj.package = mypackage form_obj.type = 'New File' form_obj.content = 'Do not SAVE file content!' form_obj.save() return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) return render(request, 'projects/create_file.html', context) def file_import(request, project_id, mypackage_id): form = LocalFileModelForm() mypackage = MyPackages.objects.get(id=mypackage_id) project = Project.objects.get(id=project_id) context = { 'form': form, 'project_id': project_id, 'mypackage_id': mypackage_id, } if request.method == 'POST': form = LocalFileModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) result = bbfile_localfile_create_task.delay(mypackage.name, mypackage.version, mypackage.type, path.join(project.project_path, project.project_name), form.cleaned_data['path'], form.cleaned_data['name'], mypackage_id) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break form_obj.package = mypackage form_obj.type = 'Import File' form_obj.save() return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) return render(request, 'projects/import_file.html', context) def file_generate_patch(request, project_id, mypackage_id): form = GeneratePatchFileForm() mypackage = MyPackages.objects.get(id=mypackage_id) project = Project.objects.get(id=project_id) context = { 'form': form, 'project_id': project_id, 'mypackage_id': mypackage_id, } if request.method == 'POST': form = GeneratePatchFileForm(request.POST) if form.is_valid(): result = patch_generator_task.delay(form.cleaned_data['name'], form.cleaned_data['path'], path.join(project.project_path, project.project_name), mypackage.name, mypackage.version, mypackage.type, mypackage.catagory, form.cleaned_data['old'], form.cleaned_data['new']) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break LocalFile.objects.create(package=mypackage, name=form.cleaned_data['name'] + '.patch', type = 'patch') return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) return render(request, 'projects/generata_patch_file.html', context) def file_delete(request, project_id, mypackage_id, file_id): package = MyPackages.objects.get(id=mypackage_id) project = Project.objects.get(id=project_id) file = LocalFile.objects.get(id=file_id) if request.method == 'POST': file = LocalFile.objects.get(id=file_id) file.delete() result = shell_cmd_task.delay('rm %s' % (path.join(project.project_path, project.project_name, 'meta', package.catagory, package.name, 'files', file.name)), project.project_path) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) def mypackage_bbfile(request, project_id, mypackage_id): project = Project.objects.get(id=project_id) mypackage = MyPackages.objects.get(id=mypackage_id) result = bbfile_task_create.delay(mypackage.name, mypackage.version, mypackage.type, path.join(project.project_path, project.project_name), mypackage_id) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break return redirect(reverse('projects:mypackage_detail', args=(project_id, mypackage_id))) def mypackage_bitbake(request, project_id, mypackage_id): project = Project.objects.get(id=project_id) mypackage = MyPackages.objects.get(id=mypackage_id) result = bitbake_progress.delay(project.project_path, project.project_name, mypackage.name, 'build') context={ 'task_id': result.task_id, 'project_id': project_id, 'mypackage_id': mypackage_id, 'package_name': mypackage.name, } return render(request, 'projects/mypackage_bitbake.html', context) def mymachine_create(request, project_id): form = MyMachineModelForm() if request.method == 'POST': form = MyMachineModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.project = Project.objects.get(id=project_id) if form_obj.flash == 'Spi-Nor': form_obj.filesystem = 'jffs2' elif form_obj.flash == 'Rawnand': form_obj.filesystem = 'ubifs' else: form_obj.filesystem = 'ext4' form_obj.save() return redirect(reverse('projects:mymeta', args=(project_id,))) return render(request, 'projects/mymachine_create.html', context={'form': form, 'project_id': project_id}) def mymachine(request, project_id): project = Project.objects.get(id=project_id) mymachine = MyMachine.objects.get(project__id=project_id) form = MyMachineModelForm(instance=mymachine) extraMarcos = MachineExtraMarco.objects.filter(machine__id = mymachine.id).order_by('id') context={ 'form': form, 'extraMarcos': extraMarcos, 'project_id': project_id, 'mymachine_id': mymachine.id, } if request.method == 'POST': form = MyMachineModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.project = project form_obj.name = mymachine.name form_obj.id = mymachine.id form_obj.save() return redirect(reverse('projects:mymachine', args=(project_id,))) return render(request, 'projects/mymachine.html', context) def extra_machine_marco_create(request, project_id, mymachine_id): form = ExtraMachineMarcoModelForm() context = { 'form': form, 'project_id': project_id, } if request.method == 'POST': form = ExtraMachineMarcoModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.machine = MyMachine.objects.get(id=mymachine_id) form_obj.save() return redirect(reverse('projects:mymachine', args=(project_id,))) return render(request, 'projects/extra_machine_marco_create.html', context) def mymachine_file(request, project_id, mymachine_id): project = Project.objects.get(id=project_id) result = machinefile_create_task.delay(mymachine_id) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break return redirect(reverse('projects:mymachine', args=(project_id,))) def myimage_create(request, project_id): form = MyImageModelForm() context = { 'form': form, 'project_id': project_id } if request.method == 'POST': form = MyImageModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.project = Project.objects.get(id=project_id) form_obj.save() return redirect(reverse('projects:myimages', args=(project_id,))) return render(request, 'projects/myimage_create.html', context) def myimage_detail(request, project_id, myimage_id): project = Project.objects.get(id=project_id) myimage = MyImage.objects.get(id=myimage_id) form = MyImageModelForm(instance=myimage) extraMarcos = MyImageExtraMarco.objects.filter(image__id = myimage_id).order_by('id') context={ 'form': form, 'extraMarcos': extraMarcos, 'project_id': project_id, 'myimage_id': myimage_id, } if request.method == 'POST': form = MyImageModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.project = project form_obj.id = myimage_id form_obj.save() return redirect(reverse('projects:myimage_detail', args=(project_id, myimage_id))) return render(request, 'projects/myimage_detail.html', context) def myimage_delete(request, project_id, myimage_id): project = Project.objects.get(id=project_id) myimage = MyImage.objects.get(id=myimage_id) if request.method == 'POST': result = shell_cmd_task.delay('rm %s' % (path.join(project.project_path, project.project_name, 'meta/recipes-core/images', myimage.name+'.bb')), project.project_path) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break myimage.delete() return redirect(reverse('projects:myimages', args=(project_id,))) def image_extra_marco_create(request, project_id, myimage_id): form = MyImageExtraMarcoModelForm() context = { 'form': form, 'project_id': project_id, } if request.method == 'POST': form = MyImageExtraMarcoModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.image = MyImage.objects.get(id=myimage_id) form_obj.save() return redirect(reverse('projects:myimage_detail', args=(project_id, myimage_id))) return render(request, 'projects/extra_image_marco_create.html', context) def image_extra_macro_delete(request, project_id, myimage_id, macro_id): if request.method == 'POST': em = MyImageExtraMarco.objects.get(id=macro_id) em.delete() return redirect(reverse('projects:myimage_detail', args=(project_id, myimage_id))) def myimagepackage_create(request, project_id, myimage_id): form = MyImagePackageModelForm() context = { 'form': form, 'project_id': project_id, } if request.method == 'POST': form = MyImagePackageModelForm(request.POST) if form.is_valid(): form_obj = form.save(commit=False) form_obj.image = MyImage.objects.get(id=myimage_id) form_obj.save() return redirect(reverse('projects:myimage_detail', args=(project_id, myimage_id))) return render(request, 'projects/package_import.html', context) def myimage_file(request, project_id, myimage_id): result = imagefile_create_task.delay(myimage_id) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break return redirect(reverse('projects:myimage_detail', args=(project_id, myimage_id))) def update_generate(request, project_id, myimage_id): project = Project.objects.get(id=project_id) myimage = MyImage.objects.get(id=myimage_id) result = updatefile_create_task.delay(myimage_id) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break result = bitbake_progress.delay(project.project_path, project.project_name, 'update-bundle-' + myimage.name, 'build') context={ 'task_id': result.task_id, 'project_id': project_id, 'myimage_id': myimage_id, 'image_name': myimage.name, } return render(request, 'projects/image_bitbake.html', context) def myimage_bitbake(request, project_id, myimage_id): project = Project.objects.get(id=project_id) myimage = MyImage.objects.get(id=myimage_id) result = bitbake_progress.delay(project.project_path, project.project_name, myimage.name, 'build') context={ 'task_id': result.task_id, 'project_id': project_id, 'myimage_id': myimage_id, 'image_name': myimage.name, } return render(request, 'projects/image_bitbake.html', context) def myupdate_bitbake(request, project_id, myimage_id): project = Project.objects.get(id=project_id) myimage = MyImage.objects.get(id=myimage_id) result = bitbake_progress.delay(project.project_path, project.project_name, 'update-bundle-' + myimage.name, 'build') context={ 'task_id': result.task_id, 'project_id': project_id, 'myimage_id': myimage_id, 'image_name': myimage.name, } return render(request, 'projects/image_bitbake.html', context) def myimage_upload(request, project_id, myimage_id): result = imagefile_upload_task.delay(myimage_id) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break return redirect(reverse('projects:myimage_detail', args=(project_id, myimage_id))) def myconf_update(request, project_id): form = MyConfForm() context = { 'form': form, 'project_id': project_id, } if request.method == 'POST': form = MyConfForm(request.POST) if form.is_valid(): result = config_set_task.delay(project_id, form.cleaned_data['machine'], form.cleaned_data['distro'], form.cleaned_data['parallel_make'], form.cleaned_data['max_parallel_threads']) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break return redirect(reverse('projects:mymeta', args=(project_id,))) return render(request, 'projects/myconf_update.html', context) def add_wks_file(request, project_id, myimage_id): form = LocalFileModelForm() myimage = MyImage.objects.get(id=myimage_id) context = { 'myimage_id': myimage_id, 'project_id': project_id, 'form': form } if request.method == 'POST': form = LocalFileModelForm(request.POST) if form.is_valid(): result = create_wks_file.delay(project_id, form.cleaned_data['name'], form.cleaned_data['content']) while 1: if (result._get_task_meta())["status"] == 'FAILURE': raise Exception('shell command task error') elif (result._get_task_meta())["status"] == 'SUCCESS': break myimage.wic_file = form.cleaned_data['name'] myimage.save() return redirect(reverse('projects:myimage_detail', args=(project_id, myimage_id))) return render(request, 'projects/create_wks_file.html', context) """ def uboot_bitbake(request, project_id, myimage_id): project = Project.objects.get(id=project_id) myimage = MyImage.objects.get(id=myimage_id) machine = MyMachine.objects.get(name = myimage.machine) result = bitbake_progress.delay(project.project_path, project.project_name, machine.uboot, 'build') context={ 'task_id': result.task_id, 'project_id': project_id, 'myimage_id': myimage_id, } return render(request, 'projects/uboot_bitbake.html', context) def kernel_bitbake(request, project_id, myimage_id): project = Project.objects.get(id=project_id) myimage = MyImage.objects.get(id=myimage_id) machine = MyMachine.objects.get(name = myimage.machine) result = bitbake_progress.delay(project.project_path, project.project_name, machine.kernel, 'build') context={ 'task_id': result.task_id, 'project_id': project_id, 'myimage_id': myimage_id, } return render(request, 'projects/kernel_bitbake.html', context) def image_bitbake(request, project_id, myimage_id): project = Project.objects.get(id=project_id) myimage = MyImage.objects.get(id=myimage_id) result = bitbake_progress.delay(project.project_path, project.project_name, myimage.name, 'build') context={ 'task_id': result.task_id, 'project_id': project_id, 'myimage_id': myimage_id, 'image_name': myimage.name, } return render(request, 'projects/image_bitbake.html', context) """

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cd711c9b7a622485871f925acbdfaff312b017e8

124

py

Python

fiction/spiders/config.py

0xz-0/DownloadFiction

c9fd118baefacd86c864ff89dcc1d18c974649e1

[ "MIT" ]

null

fiction/spiders/config.py

0xz-0/DownloadFiction

c9fd118baefacd86c864ff89dcc1d18c974649e1

[ "MIT" ]

null

fiction/spiders/config.py

0xz-0/DownloadFiction

c9fd118baefacd86c864ff89dcc1d18c974649e1

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @Time : 2021/4/2 22:38 # @Author : 0xz-0 # @File : config.py # @Software: PyCharm

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26b872a06af5828758ba85f0c502f31712023f46

205

py

Python

examples/namespaces/us_measuring_service.py

mt3o/injectable

0ffc5c758b63d9391134cd822158e1846999b404

[ "MIT" ]

71

2018-02-05T04:12:27.000Z

2022-02-15T23:08:16.000Z

examples/namespaces/us_measuring_service.py

Euraxluo/injectable

74e640f0911480fb06fa97c1a468c3863541c0fd

[ "MIT" ]

104

2018-02-06T23:37:36.000Z

2021-08-25T04:50:15.000Z

examples/namespaces/us_measuring_service.py

Euraxluo/injectable

74e640f0911480fb06fa97c1a468c3863541c0fd

[ "MIT" ]

13

2019-02-10T18:52:50.000Z

2022-01-26T17:12:35.000Z

from injectable import injectable @injectable(qualifier="MEASURING_SERVICE", namespace="US") class UnitedStatesMeasuringService: def earth_to_sun_distance(self): return "94.06 million miles"

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26fd1258d1f8e7a6105f878b784dce24bd831e4d

88

py

Python

qym_api/apps.py

shidharthadas/question-your-mentor

79a88fbf066663bf0dbb9a40ef46274be98f2089

[ "MIT" ]

null

qym_api/apps.py

shidharthadas/question-your-mentor

79a88fbf066663bf0dbb9a40ef46274be98f2089

[ "MIT" ]

null

qym_api/apps.py

shidharthadas/question-your-mentor

79a88fbf066663bf0dbb9a40ef46274be98f2089

[ "MIT" ]

null

from django.apps import AppConfig class QymApiConfig(AppConfig): name = 'qym_api'

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f811ee9b48ccf5772687c383d504a1b84e1fba7a

30

py

Python

env/lib/python3.6/ntpath.py

ayesha133/personal-website

e47ee3df00bf19abe41b74390edc105ada7381e9

[ "MIT" ]

7

2018-12-20T14:38:17.000Z

2020-08-28T17:50:56.000Z

env/lib/python3.6/ntpath.py

ayesha133/personal-website

e47ee3df00bf19abe41b74390edc105ada7381e9

[ "MIT" ]

10

2018-12-04T09:06:59.000Z

2021-04-30T20:49:55.000Z

env/lib/python3.6/ntpath.py

ayesha133/personal-website

e47ee3df00bf19abe41b74390edc105ada7381e9

[ "MIT" ]

12

2018-10-20T20:40:48.000Z

2021-03-08T18:28:07.000Z

/usr/lib64/python3.6/ntpath.py

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null

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1

0

null

0

1

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4

f8421c2c6bcabfbc2aac25292705844e86ecdbfc

89

py

Python

disckeep.py

Underpath/disckeep

662f4f3b7ba5bc67372bc37867fe0a9f83fc3a13

[ "MIT" ]

null

disckeep.py

Underpath/disckeep

662f4f3b7ba5bc67372bc37867fe0a9f83fc3a13

[ "MIT" ]

null

disckeep.py

Underpath/disckeep

662f4f3b7ba5bc67372bc37867fe0a9f83fc3a13

[ "MIT" ]

null

#!/usr/bin/env python from disckeep.web import app app.run(debug=True, host="0.0.0.0")

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1

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4

f85233a88d71ac2ecbe391c73aaa2dda9f0728f5

26

py

Python

src/repobee_plug/__version.py

gauravagrwal/repobee

487af09bd674eb7ca55281fd49cbd874a8317067

[ "MIT" ]

39

2019-04-02T15:53:23.000Z

2022-03-07T02:38:41.000Z

src/repobee_plug/__version.py

gauravagrwal/repobee

487af09bd674eb7ca55281fd49cbd874a8317067

[ "MIT" ]

788

2019-03-31T13:55:53.000Z

2022-03-29T20:41:02.000Z

src/repobee_plug/__version.py

slarse/repomate

487af09bd674eb7ca55281fd49cbd874a8317067

[ "MIT" ]

18

2020-06-15T11:49:50.000Z

2022-03-06T19:05:53.000Z

__version__ = "3.8.0-dev"

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0

4

f8b4f47f05b94757c490db0e0616c03f7d6d04ae

62

py

Python

abc/101/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

2

2022-01-22T07:56:58.000Z

2022-01-24T00:29:37.000Z

abc/101/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

abc/101/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

S = list(map(str, input())) print(S.count("+") - S.count("-"))

31

34

0.532258

10

62

3.3

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0.096774

62

2

34

31

0.589286

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0.031746

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0

null

1

0

1

0

null

0

1

0

4

3e22c939b8f19053c4d24a57798de284890930c2

43

py

Python

tuw_nlp/__init__.py

Eszti/tuw-nlp

35e4184b4d67eb2cd5085e28535a571a099d5825

[ "MIT" ]

null

tuw_nlp/__init__.py

Eszti/tuw-nlp

35e4184b4d67eb2cd5085e28535a571a099d5825

[ "MIT" ]

null

tuw_nlp/__init__.py

Eszti/tuw-nlp

35e4184b4d67eb2cd5085e28535a571a099d5825

[ "MIT" ]

null

__version__ = "0.0.1" from .utils import *

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null

0

1

0

null

0

1

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4

3e313b25864ffcd3decae3d7abb36adc525d163a

41

py

Python

MillerArrays/millerArrayCC.py

MooersLab/jupyterlabcctbxsnips

c5f0947b4e8c4e5839b9b6b15c81c62915103155

[ "MIT" ]

null

MillerArrays/millerArrayCC.py

MooersLab/jupyterlabcctbxsnips

c5f0947b4e8c4e5839b9b6b15c81c62915103155

[ "MIT" ]

null

MillerArrays/millerArrayCC.py

MooersLab/jupyterlabcctbxsnips

c5f0947b4e8c4e5839b9b6b15c81c62915103155

[ "MIT" ]

null

miller_arrays[0].cc_one_half_sigma_tau()

20.5

40

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8

41

3.75

1

0

0.025

0.02439

41

1

41

0.725

0

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0

1

0

null

0

1

0

null

0

1

0

4

3e38df9857fd05c34501b892a3c9c9792798b211

134

py

Python

main.py

paulbodean88/py-test-automation-course

f7e5fc0416f494356817c27e7b4e212f3884ae07

[ "MIT" ]

1

2022-03-25T10:19:05.000Z

main.py

paulbodean88/py-test-automation-course

f7e5fc0416f494356817c27e7b4e212f3884ae07

[ "MIT" ]

null

main.py

paulbodean88/py-test-automation-course

f7e5fc0416f494356817c27e7b4e212f3884ae07

[ "MIT" ]

null

""" Entry point towards the final project """ if __name__ == '__main__': print(f'{True} story') else: print(f'{False} story')

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134

8

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0.5

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null

0

1

0

1

0

4

e45261de7f5505e6b460514289b06c1b8381a2e4

1,630

py

Python

smarttm_web/migrations/0035_auto_20200703_2043.py

mseemab/smarttm

4fbc4f2ae57b8555709fafce41528e7d8137ab82

[ "MIT" ]

1

2019-11-25T16:03:58.000Z

smarttm_web/migrations/0035_auto_20200703_2043.py

mseemab/smarttm

4fbc4f2ae57b8555709fafce41528e7d8137ab82

[ "MIT" ]

32

2019-12-08T13:53:49.000Z

2022-03-12T00:05:23.000Z

smarttm_web/migrations/0035_auto_20200703_2043.py

mseemab/smarttm

4fbc4f2ae57b8555709fafce41528e7d8137ab82

[ "MIT" ]

null

# Generated by Django 2.2.13 on 2020-07-03 15:43 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('smarttm_web', '0034_summary_ranking'), ] operations = [ migrations.CreateModel( name='Member_Summary', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('member_name', models.CharField(max_length=100)), ('prep_speech_count', models.IntegerField(default=0)), ('tt_speech_count', models.IntegerField(default=0)), ('eval_speech_count', models.IntegerField(default=0)), ('adv_roles_count', models.IntegerField(default=0)), ('present_count', models.IntegerField(default=0)), ('parts_count', models.IntegerField(default=0)), ('meeting_part_count', models.IntegerField(default=0)), ], ), migrations.AddField( model_name='summary', name='ge_count', field=models.IntegerField(default=0), ), migrations.AddField( model_name='summary', name='toe_count', field=models.IntegerField(default=0), ), migrations.AddField( model_name='summary', name='ttm_count', field=models.IntegerField(default=0), ), migrations.AddField( model_name='user', name='is_active', field=models.BooleanField(default=True), ), ]

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null

1

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1

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null

0

4

e4a6b9445a1113134cedaac51c1f11f6f648724c

5,828

py

Python

conbench/tests/app/test_users.py

jonkeane/conbench

f096cc2f8b7a85d8e9aea32d8310127cf1923212

[ "MIT" ]

48

2020-03-02T16:55:46.000Z

2022-02-26T00:35:57.000Z

conbench/tests/app/test_users.py

jonkeane/conbench

f096cc2f8b7a85d8e9aea32d8310127cf1923212

[ "MIT" ]

103

2020-03-23T00:22:46.000Z

2022-03-31T22:34:40.000Z

conbench/tests/app/test_users.py

jonkeane/conbench

f096cc2f8b7a85d8e9aea32d8310127cf1923212

[ "MIT" ]

6

2020-03-04T17:52:35.000Z

2022-03-30T11:53:40.000Z

from ...tests.app import _asserts class TestUsers(_asserts.AppEndpointTest): def test_user_list_authenticated(self, client): self.authenticate(client) other = self.create_random_user() response = client.get("/users/") self.assert_page(response, "Users") assert "{}</td>".format(other.email).encode() in response.data def test_user_list_unauthenticated(self, client): response = client.get("/users/", follow_redirects=True) self.assert_login_page(response) class TestUser(_asserts.AppEndpointTest): def test_user_get_authenticated(self, client): self.authenticate(client) other = self.create_random_user() response = client.get(f"/users/{other.id}/") self.assert_page(response, "User") assert 'value="{}"'.format(other.name).encode() in response.data def test_user_get_unauthenticated(self, client): other = self.create_random_user() response = client.get(f"/users/{other.id}/", follow_redirects=True) self.assert_login_page(response) def test_user_get_unknown(self, client): self.authenticate(client) response = client.get("/users/unknown/", follow_redirects=True) self.assert_index_page(response) assert b"Error getting user." in response.data def test_user_update_authenticated(self, client): self.authenticate(client) other = self.create_random_user() # go to user page response = client.get(f"/users/{other.id}/") self.assert_page(response, "User") # update user data = { "name": "New Name", "email": other.email, "csrf_token": self.get_csrf_token(response), } response = client.post(f"/users/{other.id}/", data=data, follow_redirects=True) self.assert_page(response, "User") assert b"User updated." in response.data assert b'value="New Name"' in response.data def test_user_update_unauthenticated(self, client): other = self.create_random_user() response = client.post(f"/users/{other.id}/", data={}, follow_redirects=True) self.assert_login_page(response) def test_user_update_no_csrf_token(self, client): self.authenticate(client) other = self.create_random_user() response = client.post(f"/users/{other.id}/", data={}) self.assert_page(response, "User") assert b"The CSRF token is missing." in response.data # TODO: assert name not updated? def test_user_update_failed(self, client): self.authenticate(client) other = self.create_random_user() response = client.post(f"/users/{other.id}/", data={"email": "Not an email"}) self.assert_page(response, "User") assert b"Invalid email address." in response.data def test_user_delete_authenticated(self, client): self.authenticate(client) other = self.create_random_user() # can get user before response = client.get(f"/users/{other.id}/") self.assert_page(response, "User") assert 'value="{}"'.format(other.name).encode() in response.data # delete user data = {"delete": ["Delete"], "csrf_token": self.get_csrf_token(response)} response = client.post(f"/users/{other.id}/", data=data, follow_redirects=True) self.assert_page(response, "Users") assert b"User deleted." in response.data # cannot get user after response = client.get(f"/users/{other.id}/", follow_redirects=True) self.assert_index_page(response) assert b"Error getting user." in response.data def test_user_delete_unauthenticated(self, client): other = self.create_random_user() data = {"delete": ["Delete"]} response = client.post(f"/users/{other.id}/", data=data, follow_redirects=True) self.assert_login_page(response) def test_user_delete_no_csrf_token(self, client): self.authenticate(client) other = self.create_random_user() data = {"delete": ["Delete"]} response = client.post(f"/users/{other.id}/", data=data, follow_redirects=True) self.assert_page(response, "User") assert b"The CSRF token is missing." in response.data # TODO: test user not deleted? class TestUserCreate(_asserts.AppEndpointTest): def test_user_create_get_authenticated(self, client): self.authenticate(client) response = client.get("/users/create/") self.assert_page(response, "User Create") def test_user_create_get_unauthenticated(self, client): response = client.get("/users/create/", follow_redirects=True) self.assert_login_page(response) def test_user_create_post_authenticated(self, client): self.authenticate(client) # go to user create page response = client.get("/users/create/") self.assert_page(response, "User Create") # create user data = { "email": "new@example.com", "name": "New user", "password": "password", "csrf_token": self.get_csrf_token(response), } response = client.post("/users/create/", data=data, follow_redirects=True) self.assert_page(response, "Users") assert b"User created." in response.data def test_user_create_post_unauthenticated(self, client): response = client.post("/users/create/", data={}, follow_redirects=True) self.assert_login_page(response) def test_user_create_post_no_csrf_token(self, client): self.authenticate(client) response = client.post("/users/create/", data={}) self.assert_page(response, "User Create") assert b"The CSRF token is missing." in response.data

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0

null

0

1

0

1

0

null

0

4

e4ae49c17206574adb00f9ec5596d9460582b41d

204

py

Python

recipe/home/views.py

degerahmet/Recipe-Web-App

ec40117cdcae2c8cdef42f2014ca8227ae63f758

[ "MIT" ]

null

recipe/home/views.py

degerahmet/Recipe-Web-App

ec40117cdcae2c8cdef42f2014ca8227ae63f758

[ "MIT" ]

null

recipe/home/views.py

degerahmet/Recipe-Web-App

ec40117cdcae2c8cdef42f2014ca8227ae63f758

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponseRedirect from django.urls import reverse # Create your views here. def index(request): return render(request,"home/index.html")

29.142857

44

0.803922

28

204

5.857143

0.678571

0.182927

0

0.122549

204

7

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29.142857

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0.6

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null

0

1

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null

0

1

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4

e4ead59992a7db366501dbca7b00033a401c3f43

56

py

Python

MelodyHouse/venv/lib/python3.7/site-packages/decode/plot/__init__.py

sust-swe/MelodyHouse

35020f8fd7d2da8ef13e8f4fe0163c0185203994

[ "Apache-2.0" ]

1

2019-10-05T18:20:27.000Z

MelodyHouse/venv/lib/python3.7/site-packages/decode/plot/__init__.py

sust-swe/MelodyHouse

35020f8fd7d2da8ef13e8f4fe0163c0185203994

[ "Apache-2.0" ]

null

MelodyHouse/venv/lib/python3.7/site-packages/decode/plot/__init__.py

sust-swe/MelodyHouse

35020f8fd7d2da8ef13e8f4fe0163c0185203994

[ "Apache-2.0" ]

null

# coding: utf-8 from .functions import * del functions

11.2

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true

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null

0

1

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1

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4

901bc08339dafbeb68a81b68ea221acba88bb329

453

py

Python

iridium/test/keystone_tests/keystone_test.py

Toure/Rhea

fda0e4cd7c568943725245393bfe762bc858e917

[ "Apache-2.0" ]

1

2015-08-19T15:55:46.000Z

iridium/test/keystone_tests/keystone_test.py

Toure/Rhea

fda0e4cd7c568943725245393bfe762bc858e917

[ "Apache-2.0" ]

null

iridium/test/keystone_tests/keystone_test.py

Toure/Rhea

fda0e4cd7c568943725245393bfe762bc858e917

[ "Apache-2.0" ]

null

__author__ = "Toure Dunnon" __license__ = "Apache License 2.0" __version__ = "0.1" __email__ = "toure@redhat.com" __status__ = "Alpha" import pytest def test_authentication(): pass def test_user_creation(): pass def test_tenant_creation(): pass def test_project_creation(): pass def test_rule_creation(): pass def test_user_deletion(): pass def test_tenant_deletion(): pass def test_rule_deletion(): pass

11.615385

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0.701987

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453

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0.272085

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0

0.01108

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38

35

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0

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false

0.363636

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0.409091

0

null

0

1

0

null

0

1

0

1

0

4

5f4a1c7b3332917529e073d77adebbdf5d881874

59

py

Python

WEEKS/CD_Sata-Structures/_RESOURCES/course-work/Python-Brain-Teasers/loop.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

WEEKS/CD_Sata-Structures/_RESOURCES/course-work/Python-Brain-Teasers/loop.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

WEEKS/CD_Sata-Structures/_RESOURCES/course-work/Python-Brain-Teasers/loop.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

for n in range(5): print(n, end=" ") n = 5 print()

11.8

21

0.474576

11

59

2.545455

0.636364

0.428571

0

0.05

0.322034

59

4

22

14.75

0.65

0

0.016949

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

4

5f67fce84244aa0ddfdd38ddae2ee9ab125397f8

218

py

Python

ctr_data/avazu.py

bbruceyuan/ctr-data

b729a55c3966e85db2e36fa538c749411477dd01

[ "MIT" ]

null

ctr_data/avazu.py

bbruceyuan/ctr-data

b729a55c3966e85db2e36fa538c749411477dd01

[ "MIT" ]

null

ctr_data/avazu.py

bbruceyuan/ctr-data

b729a55c3966e85db2e36fa538c749411477dd01

[ "MIT" ]

null

from torch.utils.data import Dataset class AvazuDataset(Dataset): def __init__(self, num_sample=NUM_SAMPLE): pass def __len__(self): pass def __getitem__(self): pass

16.769231

46

0.614679

25

218

4.8

0.64

0.15

0

0.311927

218

13

47

16.769231

0.8

0

0.375

0

1

0.375

false

0.375

0.125

0

0.625

0

1

0

null

0

null

0

1

0

1

0

1

0

4

5f750b7e64a28c51965fe05d6ca929edaf0d0f1c

68

py

Python

lib/demo/__init__.py

dpla/akara

432f14782152dd19931bdbd8f9fad19b5932426d

[ "Apache-2.0" ]

5

2015-01-30T03:50:37.000Z

2015-09-23T00:46:11.000Z

lib/demo/__init__.py

dpla/akara

432f14782152dd19931bdbd8f9fad19b5932426d

[ "Apache-2.0" ]

null

lib/demo/__init__.py

dpla/akara

432f14782152dd19931bdbd8f9fad19b5932426d

[ "Apache-2.0" ]

3

2015-03-09T19:16:56.000Z

2019-09-19T02:41:29.000Z

# This is a Python module. # It contains demo extensions for Akara.

22.666667

40

0.75

11

68

4.636364

1

0

0.191176

68

2

41

34

0.927273

0.926471

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

4

5f7531d53b20e9545029c8fb46fb85b91f6408ae

166

py

Python

personalPages/compile_assets.py

Toliveira97/PersonalBlog

97b971e06821598be53166609ab685647d33f940

[ "MIT" ]

null

personalPages/compile_assets.py

Toliveira97/PersonalBlog

97b971e06821598be53166609ab685647d33f940

[ "MIT" ]

4

2018-06-28T17:11:33.000Z

2019-09-24T11:04:29.000Z

personalPages/compile_assets.py

Toliveira97/PersonalBlog

97b971e06821598be53166609ab685647d33f940

[ "MIT" ]

2

2018-10-04T16:12:06.000Z

2018-10-04T17:10:16.000Z

import sass import os SASS_DIR='sass' CSS_OUTPUT_DIR='static/personalPages/css/' # sass sass.compile(dirname=(SASS_DIR, CSS_OUTPUT_DIR), output_style='compressed')

20.75

75

0.795181

25

166

5

0.48

0.112

0.192

0

0.078313

166

8

75

20.75

0.816993

0.024096

0

0.242236

0.15528

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

4

5f9947dd448a67a4d70b5f5e13227af470552716

1,386

py

Python

generate-badchars.py

BleepSec/random-exploits

26ec45c465d149f55973aef337024c0ea34b7e9e

[ "MIT" ]

null

generate-badchars.py

BleepSec/random-exploits

26ec45c465d149f55973aef337024c0ea34b7e9e

[ "MIT" ]

null

generate-badchars.py

BleepSec/random-exploits

26ec45c465d149f55973aef337024c0ea34b7e9e

[ "MIT" ]

null

#!/usr/bin/env python2 import sys badChars = [] for bad in sys.argv[1:]: badChars.append(int(bad, 0)) counter = 0x00 testBed = '"' print("[+] Generating Test Chars: ") while counter <= 0xFF: if counter not in badChars: testBed += "\\x%02x" %counter counter += 1 testBed += '"' print("[+] Done generating! \n\n") print(testBed + "\n\n") # "\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f\x20\x21\x22\x23\x24\x25\x26\x27\x28\x29\x2a\x2b\x2c\x2d\x2e\x2f\x30\x31\x32\x33\x34\x35\x36\x37\x38\x39\x3a\x3b\x3c\x3d\x3e\x3f\x40\x41\x42\x43\x44\x45\x46\x47\x48\x49\x4a\x4b\x4c\x4d\x4e\x4f\x50\x51\x52\x53\x54\x55\x56\x57\x58\x59\x5a\x5b\x5c\x5d\x5e\x5f\x60\x61\x62\x63\x64\x65\x66\x67\x68\x69\x6a\x6b\x6c\x6d\x6e\x6f\x70\x71\x72\x73\x74\x75\x76\x77\x78\x79\x7a\x7b\x7c\x7d\x7e\x7f\x80\x81\x82\x83\x84\x85\x86\x87\x88\x89\x8a\x8b\x8c\x8d\x8e\x8f\x90\x91\x92\x93\x94\x95\x96\x97\x98\x99\x9a\x9b\x9c\x9d\x9e\x9f\xa0\xa1\xa2\xa3\xa4\xa5\xa6\xa7\xa8\xa9\xaa\xab\xac\xad\xae\xaf\xb0\xb1\xb2\xb3\xb4\xb5\xb6\xb7\xb8\xb9\xba\xbb\xbc\xbd\xbe\xbf\xc0\xc1\xc2\xc3\xc4\xc5\xc6\xc7\xc8\xc9\xca\xcb\xcc\xcd\xce\xcf\xd0\xd1\xd2\xd3\xd4\xd5\xd6\xd7\xd8\xd9\xda\xdb\xdc\xdd\xde\xdf\xe0\xe1\xe2\xe3\xe4\xe5\xe6\xe7\xe8\xe9\xea\xeb\xec\xed\xee\xef\xf0\xf1\xf2\xf3\xf4\xf5\xf6\xf7\xf8\xf9\xfa\xfb\xfc\xfd\xfe\xff"

44.709677

1,028

0.7114

305

1,386

3.232787

0.937705

0.024341

0

0.251333

0.05267

1,386

31

1,028

44.709677

0.499619

0.756133

0

0.192878

0

1

0.023739

0

1

0

false

0

0.071429

0

0.071429

0.214286

0

null

0

1

0

1

0

1

0

null

1

0

4

5fcc3c76a068df68a597bcd0e0ded33269e7e230

54

py

Python

src/abaqus/__init__.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/__init__.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/__init__.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

from .Canvas.Highlight import * from .abaqus import *

18

31

0.759259

7

54

5.857143

0.714286

0

0.148148

54

2

32

27

0.891304

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

39561cc873c9278a94a2878951771e90f438decc

92

py

Python

sandbox/testapp/models.py

zetahernandez/django-cid

1a41d1739ba768cecc5fbc2eede80db9a9cc2898

[ "BSD-3-Clause" ]

14

2019-04-24T15:15:08.000Z

2022-03-23T17:27:14.000Z

sandbox/testapp/models.py

zetahernandez/django-cid

1a41d1739ba768cecc5fbc2eede80db9a9cc2898

[ "BSD-3-Clause" ]

16

2015-04-12T23:59:32.000Z

2018-06-06T19:33:10.000Z

sandbox/testapp/models.py

Polyconseil/cid

595f64a51a71bd4a1d47eefdb56002d72629d603

[ "BSD-3-Clause" ]

8

2015-07-03T20:37:12.000Z

2018-06-06T19:19:04.000Z

from django.db import models class Item(models.Model): number = models.IntegerField()

15.333333

34

0.73913

12

92

5.666667

0.833333

0

0.163043

92

5

35

18.4

0.883117

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

396b0baa35e69bd27839a3eefbbcb06bcd6e9973

197

py

Python

Data Structures/Arrays/Arrays Left Rotation.py

vipmunot/HackerRank

39d1beb97545592da5cec6e4b9ae0fce32f5ec39

[ "MIT" ]

null

Data Structures/Arrays/Arrays Left Rotation.py

vipmunot/HackerRank

39d1beb97545592da5cec6e4b9ae0fce32f5ec39

[ "MIT" ]

null

Data Structures/Arrays/Arrays Left Rotation.py

vipmunot/HackerRank

39d1beb97545592da5cec6e4b9ae0fce32f5ec39

[ "MIT" ]

null

n,d = input().split(' ') n = int(n) d = int(d) a = [int(v) for v in input().split(' ')] def left_rotation(a,n,d): return a[d:] + a[:d] result = left_rotation(a,n,d) print(*result,sep=' ')

21.888889

40

0.548223

38

197

2.789474

0.421053

0.075472

0.245283

0.264151

0.283019

0

0.192893

197

9

41

21.888889

0.666667

0

0.015152

0

1

0.125

false

0

0.125

0.25

0.125

0

null

0

1

0

1

0

null

0

1

0

4

399ba0b88ad5a2311ae6883b3c957d05eb0540af

381

py

Python

swagger_client/models/__init__.py

michaelaye/opus_openapi

4906107e13c0c23222a469da3904795c77062042

[ "MIT" ]

1

2019-07-07T18:20:56.000Z

swagger_client/models/__init__.py

michaelaye/opus_openapi

4906107e13c0c23222a469da3904795c77062042

[ "MIT" ]

null

swagger_client/models/__init__.py

michaelaye/opus_openapi

4906107e13c0c23222a469da3904795c77062042

[ "MIT" ]

null

# coding: utf-8 # flake8: noqa """ Ring-Moon Systems OpenAPI This is a simple API wrapping the OPUS API of the PDS Ring-Moon Systems node. # noqa: E501 OpenAPI spec version: 1.0.0 Contact: kmichael.aye@gmail.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import # import models into model package

22.411765

95

0.716535

58

381

4.62069

0.775862

0.059701

0.11194

0

0.026059

0.194226

381

16

96

23.8125

0.846906

0.800525

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

39dc0fa636544463eb0530352708797a7985007e

52

py

Python

main.py

Nepumi-Jr/Line-Schedule-Notification

1eac63dae919923eb4c8eab76dec7937254215f8

[ "Apache-2.0" ]

null

main.py

Nepumi-Jr/Line-Schedule-Notification

1eac63dae919923eb4c8eab76dec7937254215f8

[ "Apache-2.0" ]

null

main.py

Nepumi-Jr/Line-Schedule-Notification

1eac63dae919923eb4c8eab76dec7937254215f8

[ "Apache-2.0" ]

null

from src import discordStuff discordStuff.runBot()

13

28

0.826923

6

52

7.166667

0.833333

0

0.115385

52

3

29

17.333333

0.934783

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f2e6a5d7deb9b5042a8bd3410501e267b5ef9bbc

1,714

py

Python

tasks/tests/integration/test_mission.py

heolin123/funcrowd

20167783de208394c09ed0429a5f02ec6dd79c42

[ "MIT" ]

null

tasks/tests/integration/test_mission.py

heolin123/funcrowd

20167783de208394c09ed0429a5f02ec6dd79c42

[ "MIT" ]

11

2019-11-12T23:26:45.000Z

2021-06-10T17:37:23.000Z

tasks/tests/integration/test_mission.py

heolin123/funcrowd

20167783de208394c09ed0429a5f02ec6dd79c42

[ "MIT" ]

null

import pytest from django.test import Client @pytest.mark.django_db def test_mission_list(task, user1): client = Client() client.force_login(user1) # Mission list response = client.get('/api/v1/missions/') assert response.status_code == 200 assert response.data == [ {'id': 1, 'name': 'Test mission', 'description': '', 'instruction': '', 'tasks_count': 1, 'achievements_count': 0, 'metadata': {}, 'total_exp': 10}, {'id': 2, 'name': 'Test mission other', 'description': '', 'instruction': '', 'tasks_count': None, 'achievements_count': 0, 'metadata': {}}, ] # Mission detail, mission found mission_id = 1 response = client.get('/api/v1/missions/{0}/'.format(mission_id)) assert response.status_code == 200 assert response.data == {'id': 1, 'name': 'Test mission', 'description': '', 'instruction': '', 'tasks_count': 1, 'achievements_count': 0, 'metadata': {}, 'total_exp': None} # Mission detail, mission not found mission_id = 3 response = client.get('/api/v1/missions/{0}/'.format(mission_id)) assert response.status_code == 404 assert response.data["detail"].code == "not_found" @pytest.mark.django_db def test_mission_list(task_with_items, user1): client = Client() client.force_login(user1) # Mission detail, mission found mission_id = 1 response = client.get('/api/v1/missions/{0}/'.format(mission_id)) assert response.status_code == 200 assert response.data == {'id': 1, 'name': 'Test mission', 'description': '', 'instruction': '', 'tasks_count': 1, 'achievements_count': 0, 'metadata': {}, 'total_exp': 10}

38.088889

106

0.623104

203

1,714

5.103448

0.241379

0.108108

0.065637

0.07722

0.790541

0.761583

0.681467

0.604247

0

0.030191

0.207701

1,714

44

107

38.954545

0.732695

0.061844

0

0.5

0

0.27199

0.039301

0

0.25

1

0.0625

false

0

0.0625

0

0.125

0

null

0

1

0

1

0

null

0

4

842371bf9970b6b300283cbf98217ed99880f3ec

1,856

py

Python

pyaz/bot/email/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/bot/email/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/bot/email/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage the email Channel on a bot. ''' from ... pyaz_utils import _call_az def create(email_address, name, password, resource_group, add_disabled=None): ''' Create the Email Channel on a bot. Required Parameters: - email_address -- The email address for the bot. - name -- The resource name of the bot. Bot name must be between 4 and 42 characters in length. Bot name can only have the following characters -, a - z, A - Z, 0 - 9, and _. - password -- The email password for the bot. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - add_disabled -- Add the channel in a disabled state ''' return _call_az("az bot email create", locals()) def show(name, resource_group, with_secrets=None): ''' Get details of the email Channel on a bot Required Parameters: - name -- The resource name of the bot. Bot name must be between 4 and 42 characters in length. Bot name can only have the following characters -, a - z, A - Z, 0 - 9, and _. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - with_secrets -- Show secrets in response for the channel. ''' return _call_az("az bot email show", locals()) def delete(name, resource_group): ''' Delete the email Channel on a bot Required Parameters: - name -- The resource name of the bot. Bot name must be between 4 and 42 characters in length. Bot name can only have the following characters -, a - z, A - Z, 0 - 9, and _. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az bot email delete", locals())

40.347826

178

0.688578

280

1,856

4.478571

0.210714

0.093301

0.047847

0.054226

0.705742

0.636364

0.605263

0

0.010409

0.223599

1,856

45

179

41.244444

0.85982

0.735453

0

0.145889

0

1

0.428571

false

0.142857

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

4

843e33d875073b03164ee6da878cfb2c336d8965

99

py

Python

stackexchange/rest/__init__.py

sourcepirate/stackexchange

0c8f3491d5ea527e4439c9926c9b5542261dae53

[ "MIT" ]

2

2015-08-22T02:52:24.000Z

2015-11-04T17:57:01.000Z

stackexchange/rest/__init__.py

plasmashadow/stackexchange

0c8f3491d5ea527e4439c9926c9b5542261dae53

[ "MIT" ]

2

2018-09-28T03:13:00.000Z

2020-10-18T02:24:46.000Z

stackexchange/rest/__init__.py

plasmashadow/stackexchange

0c8f3491d5ea527e4439c9926c9b5542261dae53

[ "MIT" ]

1

2018-09-26T08:05:08.000Z

__author__ = 'plasmashadow' from .answer import * from .questions import * from .search import *

14.142857

27

0.737374

11

99

6.272727

0.636364

0.289855

0

0.171717

99

6

28

16.5

0.841463

0

0.122449

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

4

8441bfc790fba04dbf9c58239a5e6a9ded7e50b3

60

py

Python

tests/__init__.py

Bram-Hub/Forseti

6431f710f9b4b9d9c79bf14f3e7d66e2ed57bd34

[ "MIT" ]

4

2018-08-14T23:08:14.000Z

2020-09-08T19:04:03.000Z

tests/__init__.py

Bram-Hub/Forseti

6431f710f9b4b9d9c79bf14f3e7d66e2ed57bd34

[ "MIT" ]

7

2015-04-23T21:28:20.000Z

2016-02-26T16:10:48.000Z

tests/__init__.py

Bram-Hub/Forseti

6431f710f9b4b9d9c79bf14f3e7d66e2ed57bd34

[ "MIT" ]

3

2019-01-16T21:04:36.000Z

2021-02-16T09:43:48.000Z

""" Test directory for ensuring working Forseti library """

15

51

0.75

7

60

6.428571

1

0

0.15

60

3

52

20

0.882353

0.85

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

4

845f5c2e957974d57d1ea92e95dbf45d7b8d38e0

154

py

Python

exe30.py

ClevertonCodev/Python

5fc9c372ba9053cdbeefcae110b3f32474ce8f74

[ "MIT" ]

null

exe30.py

ClevertonCodev/Python

5fc9c372ba9053cdbeefcae110b3f32474ce8f74

[ "MIT" ]

null

exe30.py

ClevertonCodev/Python

5fc9c372ba9053cdbeefcae110b3f32474ce8f74

[ "MIT" ]

null

numero = int(input('Me diga um número qualquer! ')) resul= numero % 2 if resul == 0: print('Esse número é PAR') else: print('Esse número é impar')

25.666667

51

0.649351

25

154

4

0.72

0.18

0.3

0.32

0

0.016393

0.207792

154

6

52

25.666667

0.803279

0

0.412903

0

1

0

false

0

0.333333

1

0

null

0

1

0

1

0

null

0

4

ffbf53311507416bb8b3031bd4c1853c8d73c0bd

33

py

Python

python/testData/codeInsight/smartEnter/multilineListLiteralItemFollowedByComment.py

alexey-anufriev/intellij-community

ffcd46f14e630acdefcc76e2bfc7c43d2449013a

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/codeInsight/smartEnter/multilineListLiteralItemFollowedByComment.py

alexey-anufriev/intellij-community

ffcd46f14e630acdefcc76e2bfc7c43d2449013a

[ "Apache-2.0" ]

1

2020-07-30T19:04:47.000Z

python/testData/codeInsight/smartEnter/multilineListLiteralItemFollowedByComment.py

bradleesand/intellij-community

750ff9c10333c9c1278c00dbe8d88c877b1b9749

[ "Apache-2.0" ]

1

2020-10-15T05:56:42.000Z

xs = [ 42<caret> # comment ]

11

24

0.484848

4

33

4

1

0

0.090909

0.333333

33

3

25

11

0.636364

0.212121

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

ffc85816b0d971cef21b4cf57dc18ba8a0fca8b8

994

py

Python

RegressionLogistic/explore.py

ThomasCaud/python

369405f37201a460057ec01c4f7ba4aa32d7e040

[ "MIT" ]

null

RegressionLogistic/explore.py

ThomasCaud/python

369405f37201a460057ec01c4f7ba4aa32d7e040

[ "MIT" ]

null

RegressionLogistic/explore.py

ThomasCaud/python

369405f37201a460057ec01c4f7ba4aa32d7e040

[ "MIT" ]

null

import numpy as np from numpy import exp, log # import scipy as scipy # from scipy import optimize data = np.loadtxt('data.txt') hasSucceeded = data[:,0] isNotGI = data[:,1] semesterNumber = data[:,2] n, = hasSucceeded.shape # Question 3 - Calcul de la vraisemblance def probX(alpha): return (exp(alpha))/(1+exp(alpha)) def probXi(alpha,Yi): return (probX(alpha)**(Yi))*((1-probX(alpha))**(1-Yi)) def vraisemblance(theta): a,b,c = theta # todo: vérifier l'intégrité de l'utilisation de semesterNumber, qui n'est pas une variable booléenne ! alpha = a + b*isNotGI + c*semesterNumber return np.prod(probXi(alpha, hasSucceeded)) # Ebauche question 4 - logvraisemblance def logvraisemblance(theta): a,b,c = theta # todo: vérifier l'intégrité de l'utilisation de semesterNumber, qui n'est pas une variable booléenne ! alpha = a + b*isNotGI + c*semesterNumber return np.sum(hasSucceeded*(alpha) + log(1-(1/(1+exp(-(alpha)))))) # scipy.optimize.minize(-1 * logvraisemblance, (0,0,0))

29.235294

104

0.714286

149

994

4.765101

0.355705

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0.025352

0.022535

0.371831

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0.139839

994

33

105

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0.812866

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0

null

0

1

0

1

0

1

0

4

f24508f497ca5715add07dd4d5fdba25693f5ab4

93

py

Python

gramclone/apps.py

kevin3708/gramclone

e04fcec1c8930a51fc618904f39baca26618b13f

[ "MIT" ]

null

gramclone/apps.py

kevin3708/gramclone

e04fcec1c8930a51fc618904f39baca26618b13f

[ "MIT" ]

null

gramclone/apps.py

kevin3708/gramclone

e04fcec1c8930a51fc618904f39baca26618b13f

[ "MIT" ]

null

from django.apps import AppConfig class GramcloneConfig(AppConfig): name = 'gramclone'

15.5

33

0.763441

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93

7.1

0.9

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0.16129

93

5

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18.6

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0

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1

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null

0

1

0

1

0

4

f25895d82a3fbcbde336ef0323e59682a9cbbc3f

3,180

py

Python

d2.py

sdamashek/adventofcode

68b50d16246657313ce491b1b1b047e743f687fa

[ "Unlicense" ]

null

d2.py

sdamashek/adventofcode

68b50d16246657313ce491b1b1b047e743f687fa

[ "Unlicense" ]

null

d2.py

sdamashek/adventofcode

68b50d16246657313ce491b1b1b047e743f687fa

[ "Unlicense" ]

null

ins = """RUDULRLLUULRURDDRRUDURULLLDRLRLUDDLUDUDDUDRRDUDULDUUULLRULLRLDDLDLDDRLRRRRUDLLDDUULDRLLUDDRRUURLULRRRDLLURRUUDURUDDURLUDDDLUDDUUDUURUDLRDRDRLRDRLDRUDRUUDLRDDRRURDDLRDDRRURDUDDLULLUDRURURRRLRRUDUULULULRRLDLUDUURRLLRUDLLDRDDLRRRULRUDLULDDLLLULDLRUDLLLLRDDLRDRLDRLLRDRRDLRDULULRLLLDRUDRRRUULRUULDRURLUDRURRDLLDLRDLDDDDRRLUDLRRLUUUURDRDDLRRURURRDUULLRLURLURUDDDRDURDUUDRLRLRRLDDLDLDLDDDUDDULURLDDLLRLRRDULUDDLULRLUDDLDLRULUUUDRLDRUDURLUDDRLLRUULDLRRRRDLLLLURULLRDRRUDLUULRRDLLRLRLUDLDDULLDLLRDLDLL LLUUUUUUDUDRLRDRDLDURRRLLRRLRURLLUURRLLUDUDLULUURUUURDLUDLDDLULLRDLRUULDLRDUDURLLDDUDUDULLUDDUULLLUULRRRLULRURRDLRUDUDDURRRDRUURDURLLULLRULLDRUULLURLDRDUUDDDDDDRRLDRLRRRLULDDUURRLLLLDRURLURDRDRDURUDUURRDUDUDRLLUUDDRLUDDDRDLDLRLDRURRDLLRULDRLLURURRLUULLRLRRURDDRDRUUURUURUUUDLLRRLUDRLDLRLURLDLUDDUDDDLDUDRRLDLRURULRLLRDUULURRRULDLLLRLDDDUURRRRDULLRURRLULULDLRRUDUDDLRUURDLDUDDUDRRDLRRRDUDUUUDLLDDDDLURLURRRUUULLLULRRLLLLLLULDUUDLRUDRRDLRDUUDUDLLRLDLLRUURDUUURUUUDDLLUUDLULDURLULULUUUDRUDULLURRULRULLRDLDDU RLUUURULLDLRLDUDRDURRDUURLLUDDDUULRRRLRLURDDRUULUDULDUUDDDDUDDDDRUDDLDUUDRUDLRRRLLRDDLLLRLLRUULRUULDDRURRLURRLRLULDDRRRDDURDDRDRDULRUDRUUDULRLLULDLRLLDRULRDDRRDDUDLRLLUDRDRRRLUDULRDLRDDURRUUDDRRUDURRUUUDDRRDUDURLUUDUDUURDDDLURLULLUULULURUDUUDRUDULLUUULURDLDUULLDDLLDULRLRLRDUUURUUDLRLDURUDRLDULLUDLDLLRDUURRDUDURLUUUDLLRRULRLULRLDLLURDURRULRLLRRDUDLLRDRRRRDLUUDRUUUDDLRLUDDDDDDRURRRUUURRDLLRURLDDLLDLRRLLLDRRULRRUDLDRDDRRLULURLLUURURURRRRUUUUURUDURLRLLLULULDLLDLRDRRULUDUDRDRRDRDRRDUDLLLRUDRUDDDULRULRRRDRLRUUUURUDURDUUULLULRUDDULDUUDLDURRD ULRULDDLDLULLLRRRLRUDDDDDLLDDUDLRRDULUUDRDLRRURDRRLUULRURUDRRULDLLLUDRUUDULULUDDRUDDDRDURRRDRDUUURLRDULUDRDRLDRUDDLLLDRRULUDLUDLDLLRRUDUULULDLDLLUURDLDDLLUUDURLURLLLDRDLDRRLRULUURRDRULRUUURULRRUDDDDLLDLDDLLRRLRRRRDUUDUDLDRDRRURDLRURULDLRDLLLLRUDRLLRDLRLRDURDRUDURRRLRDRDLLRLUDDDDRLRLLDUURRURLUURUULUDLUURDRRUDDLUDUDDDURRDRUDRLRULDULUUUUUUDDUDRUDUUURUDRRDLUDLUUDUULUDURDLDDDLLURRURUUDUDDRRDRLLULULDRLRURRDDDRDUUURDDDRULUDRDDLDURRLDDDLRRRLDDRDURULDLUDLLLURLURRLRRULDLLDDUDRRULDRRRRLURRUULRRRUDLURDLLDLLDULUUDRRLDLLLDRLRUDLUULDLDRUDUDURDRUDRDDDLRLULLUR LRLUUURRLRRRRRUURRLLULRLULLDLUDLUDRDDRLDLRLULLURDURLURDLLRLDUUDDURRRRLDLLRULLRLDLLUUDRLDDLLDRULDRLLRURDLRURRUDLULLRURDLURRURUDULLDRLLUUULUDRURRUUDUDULUUULRLDDULDRDLUDDUDDDLRURULLDLLLRLLUURDLRUDLLLLDLLRLRUUUDDRUUUUDLDLRDDURLDURUULLLUUDLLLLDULRRRLLDLDRRDRLUDRUDURLLUDLRLLUDUDRDDDRDLRDLRULUULDRLUDLRLDUURLRRLUDDDUUDDDUDRLDLDUDLURUULLDDDURUUULRLUDLDURUUDRDRURUDDUURDUUUDLLDLDLDURUURLLLLRURUURURULRULLRUDLRRUUUUUDRRLLRDDUURDRDRDDDUDRLURDRRRUDLLLDURDLUUDLLUDDULUUDLDUUULLDRDLRURUURRDURRDLURRRRLLUUULRDULDDLDUURRDLDLLULRRLLUDLDUDLUUL""" things = ins.split('\n') c = [[0,0,1,0,0],[0,2,3,4,0],[5,6,7,8,9],[0,'A','B','C',0],[0,0,'D',0,0]] x = 1 y = 1 for i in things: for j in i: ci,cy = x,y if j == 'R': x += 1 elif j == 'L': x -= 1 elif j == 'U': y -= 1 elif j == 'D': y += 1 if x == 5: x = 4 if y == 5: y = 4 if x == -1: x = 0 if y == -1: y = 0 if c[y][x] == 0: x,y = ci,cy print(c[y][x])

90.857143

549

0.86761

105

3,180

26.27619

0.352381

0.004349

0.006524

0.005074

0

0.01247

0.092138

3,180

34

550

93.529412

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0.032258

0

1

null

0

1

null

1

0

4

f281f0e5b53560d827e2377525b945ea930c4409

332

py

Python

src/config_handler.py

thisistrivial/intellijournal

2f25d72c29159ddfc9bf2ebe7de27d887d001f70

[ "MIT" ]

null

src/config_handler.py

thisistrivial/intellijournal

2f25d72c29159ddfc9bf2ebe7de27d887d001f70

[ "MIT" ]

null

src/config_handler.py

thisistrivial/intellijournal

2f25d72c29159ddfc9bf2ebe7de27d887d001f70

[ "MIT" ]

null

import dir_handler def get_config(): return dir_handler.get_config() def get_config_default(): return get_config()['DEFAULT'] def get_default_attr(attr): config_default = get_config_default() if attr in config_default: return config_default[attr] return None def get_editor(): return get_default_attr('editor')

19.529412

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0.762048

48

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4.916667

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0

0.144578

332

16

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0.830986

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1

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null

0

1

0

1

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4

f290e9f8fbc16115f1f570f5e3e22efccd96e0a9

22

py

Python

examples/api_getattr.py

kurazu/pycon2015

fd3878bfb961ccddb0bfd67e704c50355280d271

[ "CC0-1.0" ]

null

examples/api_getattr.py

kurazu/pycon2015

fd3878bfb961ccddb0bfd67e704c50355280d271

[ "CC0-1.0" ]

null

examples/api_getattr.py

kurazu/pycon2015

fd3878bfb961ccddb0bfd67e704c50355280d271

[ "CC0-1.0" ]

null

getattr(o, attr_name)

11

21

0.772727

4

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22

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0.8

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null

0

1

0

null

0

1

0

4

f2b238efa07631e713d953077f6108b5e6fcef60

803

py

Python

rfb_mc/component/multi_processing_integrator_z3.py

Meterius/rfb-mc

94b9717dac8a23f1c956c15805e4c2ca6d617bb4

[ "MIT" ]

null

rfb_mc/component/multi_processing_integrator_z3.py

Meterius/rfb-mc

94b9717dac8a23f1c956c15805e4c2ca6d617bb4

[ "MIT" ]

null

rfb_mc/component/multi_processing_integrator_z3.py

Meterius/rfb-mc

94b9717dac8a23f1c956c15805e4c2ca6d617bb4

[ "MIT" ]

null

from rfb_mc.component.multi_processing_integrator import MultiProcessingIntegrator from rfb_mc.component.runner_z3 import RunnerZ3, FormulaParamsZ3, \ serialize_formula_params_z3, deserialize_formula_params_z3, SerializedFormulaParamsZ3 class MultiProcessingIntegratorZ3(MultiProcessingIntegrator[FormulaParamsZ3, SerializedFormulaParamsZ3]): @classmethod def get_runner_class(cls): return RunnerZ3 @classmethod def deserialize_formula_params(cls, serialized_formula_params: SerializedFormulaParamsZ3) -> FormulaParamsZ3: return deserialize_formula_params_z3(serialized_formula_params) @classmethod def serialize_formula_params(cls, formula_params: FormulaParamsZ3) -> SerializedFormulaParamsZ3: return serialize_formula_params_z3(formula_params)

44.611111

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0.833126

76

803

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0.342105

0.203125

0.09375

0.05625

0

0.022599

0.118306

803

17

114

47.235294

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false

0

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0.230769

0.692308

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null

1

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null

0

1

0

1

0

4

f2ba43c1cbe804acb1b981d0c151d65b0f480d8f

2,694

py

Python

tests/test_compare_functions.py

Korijn/pygui

11be153bbdc389c5749ed82490289d6e2c2f704c

[ "MIT" ]

2

2022-02-22T08:10:03.000Z

2022-02-22T08:21:48.000Z

tests/test_compare_functions.py

Korijn/pygui

11be153bbdc389c5749ed82490289d6e2c2f704c

[ "MIT" ]

7

2022-02-24T16:38:45.000Z

2022-03-10T08:31:13.000Z

tests/test_compare_functions.py

fork-tongue/collagraph

7370b4ad8bc58a04c644be5be241e4ccb40f8893

[ "MIT" ]

null

from functools import partial from collagraph.compare import equivalent_functions def test_compare_functions(): def a(): return 2 def b(): return 2 c = lambda: 2 # noqa: E731 assert equivalent_functions(a, b) assert equivalent_functions(a, c) assert equivalent_functions(b, c) val = 3 def a(): return val assert not equivalent_functions(a, b) def b(): return val assert equivalent_functions(a, b) assert equivalent_functions(a, lambda: val) assert not equivalent_functions(a, lambda: val + 1) def test_lambda_functions_with_closures(): collection = {} def create(number): collection[number] = lambda: number * 2 for x in range(2): create(x) assert collection[0]() != collection[1]() assert not equivalent_functions(collection[0], collection[1]) def test_partial_functions(): callbacks = [] def double(a): return a * 2 for x in range(3): callbacks.append(partial(double, x)) assert not equivalent_functions(callbacks[0], callbacks[1]) other = partial(double, 2) assert equivalent_functions(other, callbacks[2]) def another_double(b): return b * 2 another = partial(another_double, 2) assert equivalent_functions(other, another) def test_mix_partial_lambda(): def a(x): return x * 2 b = partial(a) assert not equivalent_functions(a, b) def test_similar_lambda_functions(): # Different multiplier a = lambda x: x * 2 # noqa: E731 b = lambda x: x * 3 # noqa: E731 assert not equivalent_functions(a, b) # Same multiplier but different var name # should still result in the same bytecode b = lambda y: y * 2 # noqa: E731 assert equivalent_functions(a, b) # Switching the order around will produce # different bytecode, although the other b = lambda y: 2 * y # noqa: E731 assert not equivalent_functions(a, b) def test_closures(): def outer(value): val = value def inner(): return val return inner a = outer("a") b = outer("b") assert a() == "a" assert b() == "b" assert not equivalent_functions(a, b) def test_similar_lambda_function_which_captures_other_function(): def double(a): return a * 2 def other_double(b): return b * 2 def add(c): return c + 2 x = lambda a: double(a) # noqa: E731 y = lambda b: other_double(b) # noqa: E731 z = lambda c: add(c) # noqa: E731 assert equivalent_functions(x, y) assert not equivalent_functions(x, z) assert not equivalent_functions(y, z)

20.723077

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363

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0.13285

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0.221618

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0.124396

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0

0.02606

0.273571

2,694

129

66

20.883721

0.820133

0.099109

0

0.294872

0

0.001658

0

0.282051

1

0.25641

false

0

0.025641

0.141026

0.435897

0

null

1

0

1

0

null

0

1

0

1

0

4

f2c61c5e48c6003a5b0b379bc9c9555389c7285c

2,520

py

Python

projecteuler/problem_8_largest_submul.py

karolciba/playground

bfba14eaacfb6e7f820b85f95d9a1a72e251489e

[ "Unlicense" ]

null

projecteuler/problem_8_largest_submul.py

karolciba/playground

bfba14eaacfb6e7f820b85f95d9a1a72e251489e

[ "Unlicense" ]

null

projecteuler/problem_8_largest_submul.py

karolciba/playground

bfba14eaacfb6e7f820b85f95d9a1a72e251489e

[ "Unlicense" ]

null

s = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450" l = [ int(c) for c in s ] from operator import mul from itertools import count from itertools import chain from functools import partial from itertools import imap import random import string # ss = ''.join(random.choice(string.digits) for _ in range(10000)) ll = [ random.choice([1,2,3,4,5,6,7,8,9]) for _ in range(10000) ] def brute(ints, length): muls = [] for i in xrange(len(ints)-length): ll = ints[i:i+length] m = reduce(mul, ll) muls.append(m) return max(muls) def func(ints, length): parts = (ints[x:x+length] for x in xrange(len(ints) - length)) fil = [ part for part in parts if 0 not in part ] mulred = partial(reduce, mul) muls = imap( mulred, fil ) return max( chain(muls,[0]) ) prod_cache = {} def prod(ints): # ints.sort() # import pdb; pdb.set_trace() # actually, sorting slowes this a lot # orig = list(ints) # ints.sort() # speeds up 4 times if 0 in ints: return 0 t = tuple(ints) if t in prod_cache: return prod_cache[t] size = len(t) if size == 1: prod_cache[t] = t[0] return t[0] # left = ints[:size/2] # right = ints[size/2:] # m = prod(left) * prod(right) last = ints.pop() m = prod(ints) * last prod_cache[t] = m return m def dyn(ints, length): prod_cache = {} parts = (ints[x:x+length] for x in xrange(len(ints) - length)) muls = [ prod(part) for part in parts ] return max(muls) # print func(l,13)

37.61194

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0

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4b408095d6a61e636539382c523f90bffaf97cc9

68

py

Python

src/cmatools/combine/__init__.py

jonathan-winn-geo/cmatools

ae044de4bd8f1f86814b07498e46b5a03837e679

[ "BSD-3-Clause" ]

null

src/cmatools/combine/__init__.py

jonathan-winn-geo/cmatools

ae044de4bd8f1f86814b07498e46b5a03837e679

[ "BSD-3-Clause" ]

3

2020-05-13T10:30:38.000Z

2020-05-13T10:32:30.000Z

src/cmatools/combine/__init__.py

jonathan-winn-geo/cmatools

ae044de4bd8f1f86814b07498e46b5a03837e679

[ "BSD-3-Clause" ]

1

2020-07-02T16:58:06.000Z

"""An example subpackage used to illustrate integration testing."""

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0

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4b551c3b3b3b10420ee57b8ddacaf875652fab11

102

py

Python

NFCow/shopping_carts/apps.py

jojoriveraa/titulacion-NFCOW

643f7f2cbe9c68d9343f38d12629720b12e9ce1e

[ "Apache-2.0" ]

null

NFCow/shopping_carts/apps.py

jojoriveraa/titulacion-NFCOW

643f7f2cbe9c68d9343f38d12629720b12e9ce1e

[ "Apache-2.0" ]

11

2016-01-09T06:27:02.000Z

2016-01-10T05:21:05.000Z

NFCow/shopping_carts/apps.py

jojoriveraa/titulacion-NFCOW

643f7f2cbe9c68d9343f38d12629720b12e9ce1e

[ "Apache-2.0" ]

null

from django.apps import AppConfig class ShoppingCartsConfig(AppConfig): name = 'shopping_carts'

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37

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4

4bac49e2d23a6b03ec2250f8ba8eb634c1bd9bc4

6,309

py

Python

python/asteria/matter.py

IceCubeOpenSource/USSR

d96158cb835245c40e5fc57239c6038c87b3ac01

[ "BSD-3-Clause" ]

2

2019-05-03T21:09:16.000Z

2019-11-20T18:40:52.000Z

python/asteria/matter.py

IceCubeOpenSource/USSR

d96158cb835245c40e5fc57239c6038c87b3ac01

[ "BSD-3-Clause" ]

27

2019-03-19T16:02:46.000Z

2021-07-07T19:36:57.000Z

python/asteria/matter.py

icecube/ASTERIA

d96158cb835245c40e5fc57239c6038c87b3ac01

[ "BSD-3-Clause" ]

2

2019-03-12T22:36:46.000Z

2019-05-14T14:14:06.000Z

# -*- coding: utf-8 -*- """Module for Earth and stellar density models. """ import numpy as np from astropy import units as u from abc import ABC, abstractmethod class Body(ABC): """Base class defining the interface for matter interactions.""" def __init__(self): pass @abstractmethod def density(self, r): """Return density as a function of distance from the core.""" pass @abstractmethod def y_e(self, r): """Return electron fraction as a function of distance from the core.""" pass class PREM(Body): """Preliminary Reference Earth Model: A. M. Dziewonski and D. L. Anderson, PEPI 25:297-356, 1981. """ def __init__(self): # Radial bin edges, in units of km. self._rbins = np.asarray( [ 0.0, 1221.5, 3480.0, 3630.0, 5701.0, 5771.0, 5971.0, 6151.0, 6346.6, 6356.0, 6368.0, 6371.0]) # Density coefficients in units of kg/m3, kg/m4, kg/m5. self._dcoef = np.asarray( [[1.3088e4, 1.9110e-8, -2.1773e-10], [1.2346e4, 1.3976e-4, -2.4123e-10], [7.3067e3, -5.0007e-4, 0.0000], [6.7823e3, -2.4441e-4, -3.0922e-11], [5.3197e3, -2.3286e-4, 0.0000], [1.1249e4, -1.2603e-3, 0.0000], [7.1083e3, -5.9706e-4, 0.0000], [2.6910e3, 1.0869e-4, 0.0000], [2.9000e3, 0.0000, 0.0000], [2.6000e3, 0.0000, 0.0000], [1.0200e3, 0.0000, 0.0000], [0.0000, 0.0000, 0.0000]]) # Electron fraction values: inner/outer core and mantle. self._ye = np.asarray([ 0.4656, 0.4957 ]) def density(self, r): """Return density as a function of distance from the core. Parameters ---------- r : float or ndarray Radial distance from core, in length units (astropy). Returns ------- rho : float or ndarray Density at radial position(s) r. """ index = np.digitize(r.to('km').value, self._rbins) - 1 if type(r.value) in [list, np.ndarray]: rho = [] for i, x in enumerate(r.to('m').value): j = index[i] c0, c1, c2 = self._dcoef[j] rho.append(1e-3 * (c0 + c1*x + c2*x**2)) return np.asarray(rho) * u.g / u.cm**3 else: x = r.to('m').value c0, c1, c2 = self._dcoef[index] return 1e-3 * (c0 + c1*x + c2*x**2) * u.g / u.cm**3 def y_e(self, r): """Return electron fraction as a function of distance from the core. Parameters ---------- r : float or ndarray Radial distance from core, in length units (astropy). Returns ------- Y_e : float or ndarray Electron fraction at radial position(s) r. """ idx = np.digitize(r.to('km').value, [0., 3480., 6371.]) - 1 return self._ye[idx] class SimpleEarth(Body): """A constant-density 13-layer approximation of the Preliminary Reference Earth Model: A. M. Dziewonski and D. L. Anderson, PEPI 25:297-356, 1981. """ def __init__(self): # Radial bin edges, in units of km. self._rbins = np.asarray( [0.0, 1221.5, 1786.125, 2350.75 , 2915.375, 3480.0, 4220.3, 4960.7, 5701.0, 5771.0, 5971.0, 6151.0, 6346.0, 6356.0, 6368.0, 6371.0]) # Constant density values, in units of g/cm3. self._rho = np.asarray( [12.9792, 12.0042, 11.5966, 11.0351, 10.3155, 5.3828, 5.0073, 4.5988, 3.9840, 3.8496, 3.4894, 3.3701, 2.9000, 2.6000, 1.0200, 0.0000]) # Electron fraction values: inner/outer core and mantle. self._ye = np.asarray([ 0.4656, 0.4957 ]) def density(self, r): """Return density as a function of distance from the core. Parameters ---------- r : float or ndarray Radial distance from core, in length units (astropy). Returns ------- rho : float or ndarray Density at radial position(s) r. """ idx = np.digitize(r.to('km').value, self._rbins) - 1 return self._rho[idx] * u.g / u.cm**3 def y_e(self, r): """Return electron fraction as a function of distance from the core. Parameters ---------- r : float or ndarray Radial distance from core, in length units (astropy). Returns ------- Y_e : float or ndarray Electron fraction at radial position(s) r. """ idx = np.digitize(r.to('km').value, [0., 3480., 6371.]) - 1 return self._ye[idx] class TwoLayerModel(Body): """A simple two-layered model for the densities of the core and the mantle """ def __init__(self): # Radial bin edges, in units of km. self._rbins = np.asarray( [0.0, 3480.0, 6371.0]) # Constant density values, in units of g/cm3. self._rho = np.asarray( [11.5000, 4.5000, 0.0000]) # Electron fraction values: inner/outer core and mantle. self._ye = np.asarray([ 0.4656, 0.4957 ]) def density(self, r): """Return density as a function of distance from the core. Parameters ---------- r : float or ndarray Radial distance from core, in length units (astropy). Returns ------- rho : float or ndarray Density at radial position(s) r. """ idx = np.digitize(r.to('km').value, self._rbins) - 1 return self._rho[idx] * u.g / u.cm**3 def y_e(self, r): """Return electron fraction as a function of distance from the core. Parameters ---------- r : float or ndarray Radial distance from core, in length units (astropy). Returns ------- Y_e : float or ndarray Electron fraction at radial position(s) r. """ idx = np.digitize(r.to('km').value, [0., 3480., 6371.]) - 1 return self._ye[idx]

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4bb84e4e2680a34fcc0c3492b03b900323dcf16d

46

py

Python

scribdl/__init__.py

beazcode/scribd-downloader

842483a661d082a2e93c78dfcb0dccf2484ca3c1

[ "MIT" ]

11

2019-11-05T03:27:54.000Z

2021-09-13T22:32:22.000Z

scribdl/__init__.py

shivasiddharth/scribd-downloader

842483a661d082a2e93c78dfcb0dccf2484ca3c1

[ "MIT" ]

null

scribdl/__init__.py

shivasiddharth/scribd-downloader

842483a661d082a2e93c78dfcb0dccf2484ca3c1

[ "MIT" ]

9

2018-07-23T07:59:28.000Z

2021-08-05T03:30:08.000Z

__version__ = '0.1.3' from .scribdl import *

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29bef796b4a63fb9d174bc8abee3e661f97f44bb

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py

Python

src/pydantic_cloud_configuration/__init__.py

nilsdebruin/pydantic-cloud-settings

3e4aedc8741044a030a690af1be735d82d6ad2be

[ "MIT" ]

null

src/pydantic_cloud_configuration/__init__.py

nilsdebruin/pydantic-cloud-settings

3e4aedc8741044a030a690af1be735d82d6ad2be

[ "MIT" ]

null

src/pydantic_cloud_configuration/__init__.py

nilsdebruin/pydantic-cloud-settings

3e4aedc8741044a030a690af1be735d82d6ad2be

[ "MIT" ]

null

"""Pydantic Cloud Settings."""

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4

4b042972e2193b307152988845e475754f93eed2

32

py

Python

codemach/tests/source/globals.py

chuck1/myexecutor

6b70d2e7bc9ace0efde8e38f75be2b928393bfdf

[ "MIT" ]

null

codemach/tests/source/globals.py

chuck1/myexecutor

6b70d2e7bc9ace0efde8e38f75be2b928393bfdf

[ "MIT" ]

37

2017-06-29T22:42:08.000Z

2019-01-22T18:22:57.000Z

codemach/tests/source/globals.py

chuck1/myexecutor

6b70d2e7bc9ace0efde8e38f75be2b928393bfdf

[ "MIT" ]

null

a=1 assert(globals()['a'] == a)

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4b0fe4d27db7e02575eae60772a1ba0736a14dac

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py

Python

modules/2.79/bpy/types/UIPopupMenu.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/UIPopupMenu.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/UIPopupMenu.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

UIPopupMenu.layout = None

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null

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4

4b14d14d7ec1085f850bf7549fd242a9d347a64f

8,638

py

Python

tests/approx_lhd_tests.py

vishalbelsare/abcpy

72d0d31ae3fa531b69ea3fef39c96af6628ee76f

[ "BSD-3-Clause-Clear" ]

89

2017-02-23T23:34:52.000Z

2022-03-25T20:35:17.000Z

tests/approx_lhd_tests.py

vishalbelsare/abcpy

72d0d31ae3fa531b69ea3fef39c96af6628ee76f

[ "BSD-3-Clause-Clear" ]

35

2017-03-31T13:24:52.000Z

2022-01-09T11:31:38.000Z

tests/approx_lhd_tests.py

vishalbelsare/abcpy

72d0d31ae3fa531b69ea3fef39c96af6628ee76f

[ "BSD-3-Clause-Clear" ]

32

2017-03-22T06:27:43.000Z

2021-09-17T15:50:42.000Z

import unittest import numpy as np from abcpy.approx_lhd import PenLogReg, SynLikelihood, SemiParametricSynLikelihood from abcpy.continuousmodels import Normal from abcpy.continuousmodels import Uniform from abcpy.statistics import Identity class PenLogRegTests(unittest.TestCase): def setUp(self): self.mu = Uniform([[-5.0], [5.0]], name='mu') self.sigma = Uniform([[5.0], [10.0]], name='sigma') self.model = Normal([self.mu, self.sigma]) self.model_bivariate = Uniform([[0, 0], [1, 1]], name="model") self.stat_calc = Identity(degree=2, cross=1) self.likfun = PenLogReg(self.stat_calc, [self.model], n_simulate=100, n_folds=10, max_iter=100000, seed=1) self.likfun_wrong_n_sim = PenLogReg(self.stat_calc, [self.model], n_simulate=10, n_folds=10, max_iter=100000, seed=1) self.likfun_bivariate = PenLogReg(self.stat_calc, [self.model_bivariate], n_simulate=100, n_folds=10, max_iter=100000, seed=1) self.y_obs = self.model.forward_simulate(self.model.get_input_values(), 1, rng=np.random.RandomState(1)) self.y_obs_bivariate = self.model_bivariate.forward_simulate(self.model_bivariate.get_input_values(), 1, rng=np.random.RandomState(1)) self.y_obs_double = self.model.forward_simulate(self.model.get_input_values(), 2, rng=np.random.RandomState(1)) self.y_obs_bivariate_double = self.model_bivariate.forward_simulate(self.model_bivariate.get_input_values(), 2, rng=np.random.RandomState(1)) # create fake simulated data self.mu._fixed_values = [1.1] self.sigma._fixed_values = [1.0] self.y_sim = self.model.forward_simulate(self.model.get_input_values(), 100, rng=np.random.RandomState(1)) self.y_sim_bivariate = self.model_bivariate.forward_simulate(self.model_bivariate.get_input_values(), 100, rng=np.random.RandomState(1)) def test_likelihood(self): # Checks whether wrong input type produces error message self.assertRaises(TypeError, self.likfun.loglikelihood, 3.4, [2, 1]) self.assertRaises(TypeError, self.likfun.loglikelihood, [2, 4], 3.4) # create observed data comp_likelihood = self.likfun.loglikelihood(self.y_obs, self.y_sim) expected_likelihood = 9.77317308598673e-08 # This checks whether it computes a correct value and dimension is right. Not correct as it does not check the # absolute value: # self.assertLess(comp_likelihood - expected_likelihood, 10e-2) self.assertAlmostEqual(comp_likelihood, np.log(expected_likelihood)) # check if it returns the correct error when n_samples does not match: self.assertRaises(RuntimeError, self.likfun_wrong_n_sim.loglikelihood, self.y_obs, self.y_sim) # try now with the bivariate uniform model: comp_likelihood_biv = self.likfun_bivariate.loglikelihood(self.y_obs_bivariate, self.y_sim_bivariate) expected_likelihood_biv = 0.999999999999999 self.assertAlmostEqual(comp_likelihood_biv, np.log(expected_likelihood_biv)) def test_likelihood_multiple_observations(self): comp_likelihood = self.likfun.likelihood(self.y_obs_double, self.y_sim) expected_likelihood = 7.337876253225462e-10 self.assertAlmostEqual(comp_likelihood, expected_likelihood) expected_likelihood_biv = 0.9999999999999979 comp_likelihood_biv = self.likfun_bivariate.likelihood(self.y_obs_bivariate_double, self.y_sim_bivariate) self.assertAlmostEqual(comp_likelihood_biv, expected_likelihood_biv) def test_loglikelihood_additive(self): comp_loglikelihood_a = self.likfun.loglikelihood([self.y_obs_double[0]], self.y_sim) comp_loglikelihood_b = self.likfun.loglikelihood([self.y_obs_double[1]], self.y_sim) comp_loglikelihood_two = self.likfun.loglikelihood(self.y_obs_double, self.y_sim) self.assertAlmostEqual(comp_loglikelihood_two, comp_loglikelihood_a + comp_loglikelihood_b) class SynLikelihoodTests(unittest.TestCase): def setUp(self): self.mu = Uniform([[-5.0], [5.0]], name='mu') self.sigma = Uniform([[5.0], [10.0]], name='sigma') self.model = Normal([self.mu, self.sigma]) self.stat_calc = Identity(degree=2, cross=False) self.likfun = SynLikelihood(self.stat_calc) # create fake simulated data self.mu._fixed_values = [1.1] self.sigma._fixed_values = [1.0] self.y_sim = self.model.forward_simulate(self.model.get_input_values(), 100, rng=np.random.RandomState(1)) def test_likelihood(self): # Checks whether wrong input type produces error message self.assertRaises(TypeError, self.likfun.loglikelihood, 3.4, [2, 1]) self.assertRaises(TypeError, self.likfun.loglikelihood, [2, 4], 3.4) # create observed data y_obs = [1.8] # calculate the statistics of the observed data comp_loglikelihood = self.likfun.loglikelihood(y_obs, self.y_sim) expected_loglikelihood = -0.6434435652263701 # This checks whether it computes a correct value and dimension is right self.assertAlmostEqual(comp_loglikelihood, expected_loglikelihood) def test_likelihood_multiple_observations(self): y_obs = [1.8, 0.9] comp_loglikelihood = self.likfun.loglikelihood(y_obs, self.y_sim) expected_loglikelihood = -1.2726154993040115 # This checks whether it computes a correct value and dimension is right self.assertAlmostEqual(comp_loglikelihood, expected_loglikelihood) def test_loglikelihood_additive(self): y_obs = [1.8, 0.9] comp_loglikelihood_a = self.likfun.loglikelihood([y_obs[0]], self.y_sim) comp_loglikelihood_b = self.likfun.loglikelihood([y_obs[1]], self.y_sim) comp_loglikelihood_two = self.likfun.loglikelihood(y_obs, self.y_sim) self.assertAlmostEqual(comp_loglikelihood_two, comp_loglikelihood_a + comp_loglikelihood_b) class SemiParametricSynLikelihoodTests(unittest.TestCase): def setUp(self): self.mu = Uniform([[-5.0], [5.0]], name='mu') self.sigma = Uniform([[5.0], [10.0]], name='sigma') self.model = Normal([self.mu, self.sigma]) self.stat_calc_1 = Identity(degree=1, cross=False) self.likfun_1 = SemiParametricSynLikelihood(self.stat_calc_1) self.stat_calc = Identity(degree=2, cross=False) self.likfun = SemiParametricSynLikelihood(self.stat_calc) # create fake simulated data self.mu._fixed_values = [1.1] self.sigma._fixed_values = [1.0] self.y_sim = self.model.forward_simulate(self.model.get_input_values(), 100, rng=np.random.RandomState(1)) def test_likelihood(self): # Checks whether wrong input type produces error message self.assertRaises(TypeError, self.likfun.loglikelihood, 3.4, [2, 1]) self.assertRaises(TypeError, self.likfun.loglikelihood, [2, 4], 3.4) # create observed data y_obs = [1.8] # check whether it raises correct error with input of wrong size self.assertRaises(RuntimeError, self.likfun_1.loglikelihood, y_obs, self.y_sim) # calculate the statistics of the observed data comp_loglikelihood = self.likfun.loglikelihood(y_obs, self.y_sim) expected_loglikelihood = -2.3069321875272815 # This checks whether it computes a correct value and dimension is right self.assertAlmostEqual(comp_loglikelihood, expected_loglikelihood) def test_likelihood_multiple_observations(self): y_obs = [1.8, 0.9] comp_loglikelihood = self.likfun.loglikelihood(y_obs, self.y_sim) expected_loglikelihood = -3.7537571275591683 # This checks whether it computes a correct value and dimension is right self.assertAlmostEqual(comp_loglikelihood, expected_loglikelihood) def test_loglikelihood_additive(self): y_obs = [1.8, 0.9] comp_loglikelihood_a = self.likfun.loglikelihood([y_obs[0]], self.y_sim) comp_loglikelihood_b = self.likfun.loglikelihood([y_obs[1]], self.y_sim) comp_loglikelihood_two = self.likfun.loglikelihood(y_obs, self.y_sim) self.assertAlmostEqual(comp_loglikelihood_two, comp_loglikelihood_a + comp_loglikelihood_b) if __name__ == '__main__': unittest.main()

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0

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1

0

null

0

4

4b20af2e4275a515b9c9d9a7808f33d6eac325cc

964

py

Python

src/db/__init__.py

quickgiant/computone

9a49cec64199516f7691503b1b8f9b7596c1b949

[ "MIT" ]

1

2022-02-12T00:21:00.000Z

src/db/__init__.py

quickgiant/computone

9a49cec64199516f7691503b1b8f9b7596c1b949

[ "MIT" ]

null

src/db/__init__.py

quickgiant/computone

9a49cec64199516f7691503b1b8f9b7596c1b949

[ "MIT" ]

null

from .connection import connect_to_db, close_db_connection, get_con from .files import ( fetch_files, insert_file, is_file_in_library_by_path, ) from .images import ( fetch_image_by_hash, fetch_image_by_id, insert_file_image, insert_image, ) from .jobs import ( delete_job, fetch_job, fetch_jobs, fetch_job_history, insert_job, insert_job_history_item, update_job_data, update_job_status, ) from .setup import setup_db from .tags import insert_tag __all__ = [ "connect_to_db", "close_db_connection", "get_con", "fetch_files", "insert_file", "is_file_in_library_by_path", "fetch_image_by_hash", "fetch_image_by_id", "insert_file_image", "insert_image", "delete_job", "fetch_job", "fetch_jobs", "fetch_job_history", "insert_job", "insert_job_history_item", "update_job_data", "update_job_status", "setup_db", "insert_tag", ]

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1

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null

0

4

d9c652230762630c582ba68e401a7b219c0bf0b4

132

py

Python

fspdf/__main__.py

kaiec/fspdf

c69393d028cb218ea2cb012b79b3140ed428be5a

[ "MIT" ]

3

2021-07-19T06:55:24.000Z

2021-11-05T19:38:39.000Z

fspdf/__main__.py

kaiec/fspdf

c69393d028cb218ea2cb012b79b3140ed428be5a

[ "MIT" ]

4

2018-04-24T08:53:57.000Z

2022-01-13T00:45:14.000Z

fspdf/__main__.py

kaiec/fspdf

c69393d028cb218ea2cb012b79b3140ed428be5a

[ "MIT" ]

null

# -*- coding: utf-8 -*- """fspdf.__main__: executed when fspdf directory is called as script.""" from .fspdf import main main()

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null

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1

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4

d9cd589c97eddf2f2fe5c4c4d75d3679e0238af3

1,004

py

Python

odoo-14.0/addons/l10n_si/__manifest__.py

Yomy1996/P1

59e24cdd5f7f82005fe15bd7a7ff54dd5364dd29

[ "CC-BY-3.0" ]

null

odoo-14.0/addons/l10n_si/__manifest__.py

Yomy1996/P1

59e24cdd5f7f82005fe15bd7a7ff54dd5364dd29

[ "CC-BY-3.0" ]

null

odoo-14.0/addons/l10n_si/__manifest__.py

Yomy1996/P1

59e24cdd5f7f82005fe15bd7a7ff54dd5364dd29

[ "CC-BY-3.0" ]

null

# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. # Copyright: (C) 2012 - Mentis d.o.o., Dravograd { "name": "Slovenian - Accounting", "version": "1.1", "author": "Mentis d.o.o.", "website": "http://www.mentis.si", 'category': 'Accounting/Localizations/Account Charts', "description": "Kontni načrt za gospodarske družbe", "depends": [ "account", "base_iban", ], "data": [ "data/l10n_si_chart_data.xml", "data/account.account.template.csv", "data/account.chart.template.csv", "data/account.tax.group.csv", "data/account_tax_report_data.xml", "data/account_tax_data.xml", "data/account.fiscal.position.template.csv", "data/account.fiscal.position.account.template.csv", "data/account.fiscal.position.tax.template.csv", "data/account_chart_template_data.xml", ], 'demo': [ 'demo/demo_company.xml', ], }

30.424242

74

0.610558

118

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5.084746

0.483051

0.165

0.14

0.183333

0.26

0.236667

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0.011538

0.223108

1,004

32

75

31.375

0.757692

0.140438

0

0.111111

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0.664726

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true

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null

0

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0

1

null

0

1

0

4

d9db00a54292b6ce05cdd372065edb7e39ca3be5

74

py

Python

Winston/lesson-14/api_example.py

gfoo003/programming-together

225e0a2255dd8da1f1ef32d2a88deea27c050f10

[ "MIT" ]

2

2021-03-20T02:07:19.000Z

2021-03-20T02:07:26.000Z

Winston/lesson-14/api_example.py

gfoo003/programming-together

225e0a2255dd8da1f1ef32d2a88deea27c050f10

[ "MIT" ]

null

Winston/lesson-14/api_example.py

gfoo003/programming-together

225e0a2255dd8da1f1ef32d2a88deea27c050f10

[ "MIT" ]

8

2021-02-20T03:10:50.000Z

2021-03-20T02:42:45.000Z

def getNumber(inputNumber): return 2*inputNumber print(getNumber(3))

14.8

27

0.756757

9

74

6.222222

0.777778

0

0.03125

0.135135

74

5

28

14.8

0.84375

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1

0.333333

false

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0.333333

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null

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1

0

null

0

1

0

1

0

4

d9f7584f97310631b924b72fe8577b5316c6457f

66,266

py

Python

tests/integration/test_target_snowflake.py

deanmorin/pipelinewise-target-snowflake

bc79613a0d1ad0bd589856a28444ac1d56125554

[ "Apache-2.0" ]

null

tests/integration/test_target_snowflake.py

deanmorin/pipelinewise-target-snowflake

bc79613a0d1ad0bd589856a28444ac1d56125554

[ "Apache-2.0" ]

null

tests/integration/test_target_snowflake.py

deanmorin/pipelinewise-target-snowflake

bc79613a0d1ad0bd589856a28444ac1d56125554

[ "Apache-2.0" ]

null

import datetime import gzip import json import tempfile import unittest import mock import os import botocore import boto3 import itertools import target_snowflake from target_snowflake import RecordValidationException from target_snowflake.db_sync import DbSync from target_snowflake.upload_clients.s3_upload_client import S3UploadClient from pyarrow.lib import ArrowTypeError from snowflake.connector.errors import ProgrammingError from snowflake.connector.errors import DatabaseError try: import tests.integration.utils as test_utils except ImportError: import utils as test_utils METADATA_COLUMNS = [ '_SDC_EXTRACTED_AT', '_SDC_BATCHED_AT', '_SDC_DELETED_AT' ] class TestIntegration(unittest.TestCase): """ Integration Tests """ maxDiff = None def setUp(self): self.config = test_utils.get_test_config() snowflake = DbSync(self.config) # Drop target schema if self.config['default_target_schema']: snowflake.query("DROP SCHEMA IF EXISTS {}".format(self.config['default_target_schema'])) # Set up S3 client aws_access_key_id = self.config.get('aws_access_key_id') aws_secret_access_key = self.config.get('aws_secret_access_key') aws_session_token = self.config.get('aws_session_token') aws_session = boto3.session.Session( aws_access_key_id=aws_access_key_id, aws_secret_access_key=aws_secret_access_key, aws_session_token=aws_session_token ) self.s3_client = aws_session.client('s3', region_name=self.config.get('s3_region_name'), endpoint_url=self.config.get('s3_endpoint_url')) def persist_lines(self, lines): """Loads singer messages into snowflake without table caching option""" target_snowflake.persist_lines(self.config, lines) def persist_lines_with_cache(self, lines): """Enables table caching option and loads singer messages into snowflake. Table caching mechanism is creating and maintaining an extra table in snowflake about the table structures. It's very similar to the INFORMATION_SCHEMA.COLUMNS system views but querying INFORMATION_SCHEMA is slow especially when lot of taps running in parallel. Selecting from a real table instead of INFORMATION_SCHEMA and keeping it in memory while the target-snowflake is running results better load performance. """ table_cache, file_format_type = target_snowflake.get_snowflake_statics(self.config) target_snowflake.persist_lines(self.config, lines, table_cache, file_format_type) def remove_metadata_columns_from_rows(self, rows): """Removes metadata columns from a list of rows""" d_rows = [] for r in rows: # Copy the original row to a new dict to keep the original dict # and remove metadata columns d_row = r.copy() for md_c in METADATA_COLUMNS: d_row.pop(md_c, None) # Add new row without metadata columns to the new list d_rows.append(d_row) return d_rows def assert_metadata_columns_exist(self, rows): """This is a helper assertion that checks if every row in a list has metadata columns""" for r in rows: for md_c in METADATA_COLUMNS: self.assertTrue(md_c in r) def assert_metadata_columns_not_exist(self, rows): """This is a helper assertion that checks metadata columns don't exist in any row""" for r in rows: for md_c in METADATA_COLUMNS: self.assertFalse(md_c in r) def assert_three_streams_are_into_snowflake(self, should_metadata_columns_exist=False, should_hard_deleted_rows=False): """ This is a helper assertion that checks if every data from the message-with-three-streams.json file is available in Snowflake tables correctly. Useful to check different loading methods (unencrypted, Client-Side encryption, gzip, etc.) without duplicating assertions """ snowflake = DbSync(self.config) default_target_schema = self.config.get('default_target_schema', '') schema_mapping = self.config.get('schema_mapping', {}) # Identify target schema name target_schema = None if default_target_schema is not None and default_target_schema.strip(): target_schema = default_target_schema elif schema_mapping: target_schema = "tap_mysql_test" # Get loaded rows from tables table_one = snowflake.query("SELECT * FROM {}.test_table_one ORDER BY c_pk".format(target_schema)) table_two = snowflake.query("SELECT * FROM {}.test_table_two ORDER BY c_pk".format(target_schema)) table_three = snowflake.query("SELECT * FROM {}.test_table_three ORDER BY c_pk".format(target_schema)) # ---------------------------------------------------------------------- # Check rows in table_one # ---------------------------------------------------------------------- expected_table_one = [ {'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': '1'} ] self.assertEqual( self.remove_metadata_columns_from_rows(table_one), expected_table_one) # ---------------------------------------------------------------------- # Check rows in table_tow # ---------------------------------------------------------------------- expected_table_two = [] if not should_hard_deleted_rows: expected_table_two = [ {'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': '1', 'C_DATE': datetime.datetime(2019, 2, 1, 15, 12, 45)}, {'C_INT': 2, 'C_PK': 2, 'C_VARCHAR': '2', 'C_DATE': datetime.datetime(2019, 2, 10, 2, 0, 0)} ] else: expected_table_two = [ {'C_INT': 2, 'C_PK': 2, 'C_VARCHAR': '2', 'C_DATE': datetime.datetime(2019, 2, 10, 2, 0, 0)} ] self.assertEqual( self.remove_metadata_columns_from_rows(table_two), expected_table_two) # ---------------------------------------------------------------------- # Check rows in table_three # ---------------------------------------------------------------------- expected_table_three = [] if not should_hard_deleted_rows: expected_table_three = [ {'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': '1', 'C_TIME': datetime.time(4, 0, 0)}, {'C_INT': 2, 'C_PK': 2, 'C_VARCHAR': '2', 'C_TIME': datetime.time(7, 15, 0)}, {'C_INT': 3, 'C_PK': 3, 'C_VARCHAR': '3', 'C_TIME': datetime.time(23, 0, 3)} ] else: expected_table_three = [ {'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': '1', 'C_TIME': datetime.time(4, 0, 0)}, {'C_INT': 2, 'C_PK': 2, 'C_VARCHAR': '2', 'C_TIME': datetime.time(7, 15, 0)} ] self.assertEqual( self.remove_metadata_columns_from_rows(table_three), expected_table_three) # ---------------------------------------------------------------------- # Check if metadata columns exist or not # ---------------------------------------------------------------------- if should_metadata_columns_exist: self.assert_metadata_columns_exist(table_one) self.assert_metadata_columns_exist(table_two) self.assert_metadata_columns_exist(table_three) else: self.assert_metadata_columns_not_exist(table_one) self.assert_metadata_columns_not_exist(table_two) self.assert_metadata_columns_not_exist(table_three) def assert_logical_streams_are_in_snowflake(self, should_metadata_columns_exist=False): # Get loaded rows from tables snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') table_one = snowflake.query("SELECT * FROM {}.logical1_table1 ORDER BY CID".format(target_schema)) table_two = snowflake.query("SELECT * FROM {}.logical1_table2 ORDER BY CID".format(target_schema)) table_three = snowflake.query("SELECT * FROM {}.logical2_table1 ORDER BY CID".format(target_schema)) table_four = snowflake.query("SELECT CID, CTIMENTZ, CTIMETZ FROM {}.logical1_edgydata WHERE CID IN(1,2,3,4,5,6,8,9) ORDER BY CID".format(target_schema)) # ---------------------------------------------------------------------- # Check rows in table_one # ---------------------------------------------------------------------- expected_table_one = [ {'CID': 1, 'CVARCHAR': "inserted row", 'CVARCHAR2': None}, {'CID': 2, 'CVARCHAR': 'inserted row', "CVARCHAR2": "inserted row"}, {'CID': 3, 'CVARCHAR': "inserted row", 'CVARCHAR2': "inserted row"}, {'CID': 4, 'CVARCHAR': "inserted row", 'CVARCHAR2': "inserted row"} ] # ---------------------------------------------------------------------- # Check rows in table_tow # ---------------------------------------------------------------------- expected_table_two = [ {'CID': 1, 'CVARCHAR': "updated row"}, {'CID': 2, 'CVARCHAR': 'updated row'}, {'CID': 3, 'CVARCHAR': "updated row"}, {'CID': 5, 'CVARCHAR': "updated row"}, {'CID': 7, 'CVARCHAR': "updated row"}, {'CID': 8, 'CVARCHAR': 'updated row'}, {'CID': 9, 'CVARCHAR': "updated row"}, {'CID': 10, 'CVARCHAR': 'updated row'} ] # ---------------------------------------------------------------------- # Check rows in table_three # ---------------------------------------------------------------------- expected_table_three = [ {'CID': 1, 'CVARCHAR': "updated row"}, {'CID': 2, 'CVARCHAR': 'updated row'}, {'CID': 3, 'CVARCHAR': "updated row"}, ] # ---------------------------------------------------------------------- # Check rows in table_four # ---------------------------------------------------------------------- expected_table_four = [ {'CID': 1, 'CTIMENTZ': None, 'CTIMETZ': None}, {'CID': 2, 'CTIMENTZ': datetime.time(23, 0, 15), 'CTIMETZ': datetime.time(23, 0, 15)}, {'CID': 3, 'CTIMENTZ': datetime.time(12, 0, 15), 'CTIMETZ': datetime.time(12, 0, 15)}, {'CID': 4, 'CTIMENTZ': datetime.time(12, 0, 15), 'CTIMETZ': datetime.time(9, 0, 15)}, {'CID': 5, 'CTIMENTZ': datetime.time(12, 0, 15), 'CTIMETZ': datetime.time(15, 0, 15)}, {'CID': 6, 'CTIMENTZ': datetime.time(0, 0), 'CTIMETZ': datetime.time(0, 0)}, {'CID': 8, 'CTIMENTZ': datetime.time(0, 0), 'CTIMETZ': datetime.time(1, 0)}, {'CID': 9, 'CTIMENTZ': datetime.time(0, 0), 'CTIMETZ': datetime.time(0, 0)} ] if should_metadata_columns_exist: self.assertEqual(self.remove_metadata_columns_from_rows(table_one), expected_table_one) self.assertEqual(self.remove_metadata_columns_from_rows(table_two), expected_table_two) self.assertEqual(self.remove_metadata_columns_from_rows(table_three), expected_table_three) self.assertEqual(table_four, expected_table_four) else: self.assertEqual(table_one, expected_table_one) self.assertEqual(table_two, expected_table_two) self.assertEqual(table_three, expected_table_three) self.assertEqual(table_four, expected_table_four) def assert_logical_streams_are_in_snowflake_and_are_empty(self): # Get loaded rows from tables snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') table_one = snowflake.query("SELECT * FROM {}.logical1_table1 ORDER BY CID".format(target_schema)) table_two = snowflake.query("SELECT * FROM {}.logical1_table2 ORDER BY CID".format(target_schema)) table_three = snowflake.query("SELECT * FROM {}.logical2_table1 ORDER BY CID".format(target_schema)) table_four = snowflake.query("SELECT CID, CTIMENTZ, CTIMETZ FROM {}.logical1_edgydata WHERE CID IN(1,2,3,4,5,6,8,9) ORDER BY CID".format(target_schema)) self.assertEqual(table_one, []) self.assertEqual(table_two, []) self.assertEqual(table_three, []) self.assertEqual(table_four, []) def assert_binary_data_are_in_snowflake(self, table_name, should_metadata_columns_exist=False): # Get loaded rows from tables snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') table_one = snowflake.query("SELECT * FROM {}.{} ORDER BY ID".format(target_schema, table_name)) # ---------------------------------------------------------------------- # Check rows in table_one # ---------------------------------------------------------------------- expected_table_one = [ {'ID': b'pk2', 'DATA': b'data2', 'CREATED_AT': datetime.datetime(2019, 12, 17, 16, 2, 55)}, {'ID': b'pk4', 'DATA': b'data4', "CREATED_AT": datetime.datetime(2019, 12, 17, 16, 32, 22)}, ] if should_metadata_columns_exist: self.assertEqual(self.remove_metadata_columns_from_rows(table_one), expected_table_one) else: self.assertEqual(table_one, expected_table_one) ################################# # TESTS # ################################# def test_invalid_json(self): """Receiving invalid JSONs should raise an exception""" tap_lines = test_utils.get_test_tap_lines('invalid-json.json') with self.assertRaises(json.decoder.JSONDecodeError): self.persist_lines_with_cache(tap_lines) def test_message_order(self): """RECORD message without a previously received SCHEMA message should raise an exception""" tap_lines = test_utils.get_test_tap_lines('invalid-message-order.json') with self.assertRaises(Exception): self.persist_lines_with_cache(tap_lines) def test_run_query(self): """Running SQLs""" snowflake = DbSync(self.config) # Running single SQL should return as array self.assertEqual(snowflake.query("SELECT 1 col1, 2 col2"), [{'COL1': 1, 'COL2': 2}]) # Running multiple SQLs should return the result of the last query self.assertEqual(snowflake.query(["SELECT 1 col1, 2 col2", "SELECT 3 col1, 4 col2", "SELECT 5 col1, 6 col2"]), [{'COL1': 5, 'COL2': 6}]) # Running multiple SQLs should return empty list if the last query returns zero record self.assertEqual(snowflake.query(["SELECT 1 col1, 2 col2", "SELECT 3 col1, 4 col2", "SELECT 5 col1, 6 col2 WHERE 1 = 2"]), []) # Running multiple SQLs should return the result of the last query even if a previous query returns zero record self.assertEqual(snowflake.query(["SELECT 1 col1, 2 col2 WHERE 1 =2 ", "SELECT 3 col1, 4 col2", "SELECT 5 col1, 6 col2"]), [{'COL1': 5, 'COL2': 6}]) # Running multiple SQLs should return empty list if every query returns zero record self.assertEqual(snowflake.query(["SELECT 1 col1, 2 col2 WHERE 1 = 2 ", "SELECT 3 col1, 4 col2 WHERE 1 = 2", "SELECT 5 col1, 6 col2 WHERE 1 = 2"]), []) def test_loading_tables_with_no_encryption(self): """Loading multiple tables from the same input tap with various columns types""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Turning off client-side encryption and load self.config['client_side_encryption_master_key'] = '' self.persist_lines_with_cache(tap_lines) self.assert_three_streams_are_into_snowflake() def test_loading_tables_with_client_side_encryption(self): """Loading multiple tables from the same input tap with various columns types""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Turning on client-side encryption and load self.config['client_side_encryption_master_key'] = os.environ.get('CLIENT_SIDE_ENCRYPTION_MASTER_KEY') self.persist_lines_with_cache(tap_lines) self.assert_three_streams_are_into_snowflake() def test_loading_tables_with_client_side_encryption_and_wrong_master_key(self): """Loading multiple tables from the same input tap with various columns types""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Turning on client-side encryption and load but using a well formatted but wrong master key self.config['client_side_encryption_master_key'] = "Wr0n6m45t3rKeY0123456789a0123456789a0123456=" with self.assertRaises(ProgrammingError): self.persist_lines_with_cache(tap_lines) def test_loading_tables_with_metadata_columns(self): """Loading multiple tables from the same input tap with various columns types""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Turning on adding metadata columns self.config['add_metadata_columns'] = True self.persist_lines_with_cache(tap_lines) # Check if data loaded correctly and metadata columns exist self.assert_three_streams_are_into_snowflake(should_metadata_columns_exist=True) def test_loading_tables_with_defined_parallelism(self): """Loading multiple tables from the same input tap with various columns types""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Using fixed 1 thread parallelism self.config['parallelism'] = 1 self.persist_lines_with_cache(tap_lines) # Check if data loaded correctly and metadata columns exist self.assert_three_streams_are_into_snowflake() def test_loading_tables_with_hard_delete(self): """Loading multiple tables from the same input tap with deleted rows""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Turning on hard delete mode self.config['hard_delete'] = True self.persist_lines_with_cache(tap_lines) # Check if data loaded correctly and metadata columns exist self.assert_three_streams_are_into_snowflake( should_metadata_columns_exist=True, should_hard_deleted_rows=True ) def test_loading_with_multiple_schema(self): """Loading table with multiple SCHEMA messages""" tap_lines = test_utils.get_test_tap_lines('messages-with-multi-schemas.json') # Load with default settings self.persist_lines_with_cache(tap_lines) # Check if data loaded correctly self.assert_three_streams_are_into_snowflake( should_metadata_columns_exist=False, should_hard_deleted_rows=False ) def test_loading_tables_with_binary_columns_and_hard_delete(self): """Loading multiple tables from the same input tap with deleted rows""" tap_lines = test_utils.get_test_tap_lines('messages-with-binary-columns.json') # Turning on hard delete mode self.config['hard_delete'] = True self.persist_lines_with_cache(tap_lines) # Check if data loaded correctly and metadata columns exist self.assert_binary_data_are_in_snowflake( table_name='test_binary', should_metadata_columns_exist=True ) def test_loading_table_with_reserved_word_as_name_and_hard_delete(self): """Loading a table where the name is a reserved word with deleted rows""" tap_lines = test_utils.get_test_tap_lines('messages-with-reserved-name-as-table-name.json') # Turning on hard delete mode self.config['hard_delete'] = True self.persist_lines_with_cache(tap_lines) # Check if data loaded correctly and metadata columns exist self.assert_binary_data_are_in_snowflake( table_name='"ORDER"', should_metadata_columns_exist=True ) def test_loading_table_with_space(self): """Loading a table where the name has space""" tap_lines = test_utils.get_test_tap_lines('messages-with-space-in-table-name.json') # Turning on hard delete mode self.config['hard_delete'] = True self.persist_lines_with_cache(tap_lines) # Check if data loaded correctly and metadata columns exist self.assert_binary_data_are_in_snowflake( table_name='"TABLE WITH SPACE AND UPPERCASE"', should_metadata_columns_exist=True ) def test_loading_unicode_characters(self): """Loading unicode encoded characters""" tap_lines = test_utils.get_test_tap_lines('messages-with-unicode-characters.json') # Load with default settings self.persist_lines_with_cache(tap_lines) # Get loaded rows from tables snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') table_unicode = snowflake.query("SELECT * FROM {}.test_table_unicode ORDER BY C_INT".format(target_schema)) self.assertEqual( table_unicode, [ {'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': 'Hello world, Καλημέρα κόσμε, コンニチハ'}, {'C_INT': 2, 'C_PK': 2, 'C_VARCHAR': 'Chinese: 和毛泽东 <<重上井冈山>>. 严永欣, 一九八八年.'}, {'C_INT': 3, 'C_PK': 3, 'C_VARCHAR': 'Russian: Зарегистрируйтесь сейчас на Десятую Международную Конференцию по'}, {'C_INT': 4, 'C_PK': 4, 'C_VARCHAR': 'Thai: แผ่นดินฮั่นเสื่อมโทรมแสนสังเวช'}, {'C_INT': 5, 'C_PK': 5, 'C_VARCHAR': 'Arabic: لقد لعبت أنت وأصدقاؤك لمدة وحصلتم علي من إجمالي النقاط'}, {'C_INT': 6, 'C_PK': 6, 'C_VARCHAR': 'Special Characters: [",\'!@£$%^&*()]'} ]) def test_non_db_friendly_columns(self): """Loading non-db friendly columns like, camelcase, minus signs, etc.""" tap_lines = test_utils.get_test_tap_lines('messages-with-non-db-friendly-columns.json') # Load with default settings self.persist_lines_with_cache(tap_lines) # Get loaded rows from tables snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') table_non_db_friendly_columns = snowflake.query( "SELECT * FROM {}.test_table_non_db_friendly_columns ORDER BY c_pk".format(target_schema)) self.assertEqual( table_non_db_friendly_columns, [ {'C_PK': 1, 'CAMELCASECOLUMN': 'Dummy row 1', 'MINUS-COLUMN': 'Dummy row 1'}, {'C_PK': 2, 'CAMELCASECOLUMN': 'Dummy row 2', 'MINUS-COLUMN': 'Dummy row 2'}, {'C_PK': 3, 'CAMELCASECOLUMN': 'Dummy row 3', 'MINUS-COLUMN': 'Dummy row 3'}, {'C_PK': 4, 'CAMELCASECOLUMN': 'Dummy row 4', 'MINUS-COLUMN': 'Dummy row 4'}, {'C_PK': 5, 'CAMELCASECOLUMN': 'Dummy row 5', 'MINUS-COLUMN': 'Dummy row 5'}, ]) def test_nested_schema_unflattening(self): """Loading nested JSON objects into VARIANT columns without flattening""" tap_lines = test_utils.get_test_tap_lines('messages-with-nested-schema.json') # Load with default settings - Flattening disabled self.persist_lines_with_cache(tap_lines) # Get loaded rows from tables - Transform JSON to string at query time snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') unflattened_table = snowflake.query(""" SELECT c_pk ,TO_CHAR(c_array) c_array ,TO_CHAR(c_object) c_object ,TO_CHAR(c_object) c_object_with_props ,TO_CHAR(c_nested_object) c_nested_object FROM {}.test_table_nested_schema ORDER BY c_pk""".format(target_schema)) # Should be valid nested JSON strings self.assertEqual( unflattened_table, [{ 'C_PK': 1, 'C_ARRAY': '[1,2,3]', 'C_OBJECT': '{"key_1":"value_1"}', 'C_OBJECT_WITH_PROPS': '{"key_1":"value_1"}', 'C_NESTED_OBJECT': '{"nested_prop_1":"nested_value_1","nested_prop_2":"nested_value_2","nested_prop_3":{"multi_nested_prop_1":"multi_value_1","multi_nested_prop_2":"multi_value_2"}}' }]) def test_nested_schema_flattening(self): """Loading nested JSON objects with flattening and not not flattening""" tap_lines = test_utils.get_test_tap_lines('messages-with-nested-schema.json') # Turning on data flattening self.config['data_flattening_max_level'] = 10 # Load with default settings - Flattening disabled self.persist_lines_with_cache(tap_lines) # Get loaded rows from tables snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') flattened_table = snowflake.query( "SELECT * FROM {}.test_table_nested_schema ORDER BY c_pk".format(target_schema)) # Should be flattened columns self.assertEqual( flattened_table, [{ 'C_PK': 1, 'C_ARRAY': '[\n 1,\n 2,\n 3\n]', 'C_OBJECT': None, # Cannot map RECORD to SCHEMA. SCHEMA doesn't have properties that requires for flattening 'C_OBJECT_WITH_PROPS__KEY_1': 'value_1', 'C_NESTED_OBJECT__NESTED_PROP_1': 'nested_value_1', 'C_NESTED_OBJECT__NESTED_PROP_2': 'nested_value_2', 'C_NESTED_OBJECT__NESTED_PROP_3__MULTI_NESTED_PROP_1': 'multi_value_1', 'C_NESTED_OBJECT__NESTED_PROP_3__MULTI_NESTED_PROP_2': 'multi_value_2', }]) def test_column_name_change(self): """Tests correct renaming of snowflake columns after source change""" tap_lines_before_column_name_change = test_utils.get_test_tap_lines('messages-with-three-streams.json') tap_lines_after_column_name_change = test_utils.get_test_tap_lines( 'messages-with-three-streams-modified-column.json') # Load with default settings self.persist_lines_with_cache(tap_lines_before_column_name_change) self.persist_lines_with_cache(tap_lines_after_column_name_change) # Get loaded rows from tables snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') table_one = snowflake.query("SELECT * FROM {}.test_table_one ORDER BY c_pk".format(target_schema)) table_two = snowflake.query("SELECT * FROM {}.test_table_two ORDER BY c_pk".format(target_schema)) table_three = snowflake.query("SELECT * FROM {}.test_table_three ORDER BY c_pk".format(target_schema)) # Get the previous column name from information schema in test_table_two previous_column_name = snowflake.query(""" SELECT column_name FROM information_schema.columns WHERE table_catalog = '{}' AND table_schema = '{}' AND table_name = 'TEST_TABLE_TWO' AND ordinal_position = 1 """.format( self.config.get('dbname', '').upper(), target_schema.upper()))[0]["COLUMN_NAME"] # Table one should have no changes self.assertEqual( table_one, [{'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': '1'}]) # Table two should have a versioned column and a new column self.assertEqual( table_two, [ {previous_column_name: datetime.datetime(2019, 2, 1, 15, 12, 45), 'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': '1', 'C_DATE': None, 'C_NEW_COLUMN': None}, {previous_column_name: datetime.datetime(2019, 2, 10, 2), 'C_INT': 2, 'C_PK': 2, 'C_VARCHAR': '2', 'C_DATE': '2019-02-12 02:00:00', 'C_NEW_COLUMN': 'data 1'}, {previous_column_name: None, 'C_INT': 3, 'C_PK': 3, 'C_VARCHAR': '2', 'C_DATE': '2019-02-15 02:00:00', 'C_NEW_COLUMN': 'data 2'} ] ) # Table three should have a renamed columns and a new column self.assertEqual( table_three, [ {'C_INT': 1, 'C_PK': 1, 'C_TIME': datetime.time(4, 0), 'C_VARCHAR': '1', 'C_TIME_RENAMED': None, 'C_NEW_COLUMN': None}, {'C_INT': 2, 'C_PK': 2, 'C_TIME': datetime.time(7, 15), 'C_VARCHAR': '2', 'C_TIME_RENAMED': None, 'C_NEW_COLUMN': None}, {'C_INT': 3, 'C_PK': 3, 'C_TIME': datetime.time(23, 0, 3), 'C_VARCHAR': '3', 'C_TIME_RENAMED': datetime.time(8, 15), 'C_NEW_COLUMN': 'data 1'}, {'C_INT': 4, 'C_PK': 4, 'C_TIME': None, 'C_VARCHAR': '4', 'C_TIME_RENAMED': datetime.time(23, 0, 3), 'C_NEW_COLUMN': 'data 2'} ]) def test_column_name_change_without_table_cache(self): """Tests correct renaming of snowflake columns after source change with not using table caching""" tap_lines_before_column_name_change = test_utils.get_test_tap_lines('messages-with-three-streams.json') tap_lines_after_column_name_change = test_utils.get_test_tap_lines( 'messages-with-three-streams-modified-column.json') # Load with default settings self.persist_lines(tap_lines_before_column_name_change) self.persist_lines(tap_lines_after_column_name_change) # Get loaded rows from tables snowflake = DbSync(self.config) target_schema = self.config.get('default_target_schema', '') table_one = snowflake.query("SELECT * FROM {}.test_table_one ORDER BY c_pk".format(target_schema)) table_two = snowflake.query("SELECT * FROM {}.test_table_two ORDER BY c_pk".format(target_schema)) table_three = snowflake.query("SELECT * FROM {}.test_table_three ORDER BY c_pk".format(target_schema)) # Get the previous column name from information schema in test_table_two previous_column_name = snowflake.query(""" SELECT column_name FROM information_schema.columns WHERE table_catalog = '{}' AND table_schema = '{}' AND table_name = 'TEST_TABLE_TWO' AND ordinal_position = 1 """.format( self.config.get('dbname', '').upper(), target_schema.upper()))[0]["COLUMN_NAME"] # Table one should have no changes self.assertEqual( table_one, [{'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': '1'}]) # Table two should have a versioned column and a new column self.assertEqual( table_two, [ {previous_column_name: datetime.datetime(2019, 2, 1, 15, 12, 45), 'C_INT': 1, 'C_PK': 1, 'C_VARCHAR': '1', 'C_DATE': None, 'C_NEW_COLUMN': None}, {previous_column_name: datetime.datetime(2019, 2, 10, 2), 'C_INT': 2, 'C_PK': 2, 'C_VARCHAR': '2', 'C_DATE': '2019-02-12 02:00:00', 'C_NEW_COLUMN': 'data 1'}, {previous_column_name: None, 'C_INT': 3, 'C_PK': 3, 'C_VARCHAR': '2', 'C_DATE': '2019-02-15 02:00:00', 'C_NEW_COLUMN': 'data 2'} ] ) # Table three should have a renamed columns and a new column self.assertEqual( table_three, [ {'C_INT': 1, 'C_PK': 1, 'C_TIME': datetime.time(4, 0), 'C_VARCHAR': '1', 'C_TIME_RENAMED': None, 'C_NEW_COLUMN': None}, {'C_INT': 2, 'C_PK': 2, 'C_TIME': datetime.time(7, 15), 'C_VARCHAR': '2', 'C_TIME_RENAMED': None, 'C_NEW_COLUMN': None}, {'C_INT': 3, 'C_PK': 3, 'C_TIME': datetime.time(23, 0, 3), 'C_VARCHAR': '3', 'C_TIME_RENAMED': datetime.time(8, 15), 'C_NEW_COLUMN': 'data 1'}, {'C_INT': 4, 'C_PK': 4, 'C_TIME': None, 'C_VARCHAR': '4', 'C_TIME_RENAMED': datetime.time(23, 0, 3), 'C_NEW_COLUMN': 'data 2'} ]) def test_logical_streams_from_pg_with_hard_delete_and_default_batch_size_should_pass(self): """Tests logical streams from pg with inserts, updates and deletes""" tap_lines = test_utils.get_test_tap_lines('messages-pg-logical-streams.json') # Turning on hard delete mode self.config['hard_delete'] = True self.persist_lines_with_cache(tap_lines) self.assert_logical_streams_are_in_snowflake(True) def test_logical_streams_from_pg_with_hard_delete_and_batch_size_of_5_should_pass(self): """Tests logical streams from pg with inserts, updates and deletes""" tap_lines = test_utils.get_test_tap_lines('messages-pg-logical-streams.json') # Turning on hard delete mode self.config['hard_delete'] = True self.config['batch_size_rows'] = 5 self.persist_lines_with_cache(tap_lines) self.assert_logical_streams_are_in_snowflake(True) def test_logical_streams_from_pg_with_hard_delete_and_batch_size_of_5_and_no_records_should_pass(self): """Tests logical streams from pg with inserts, updates and deletes""" tap_lines = test_utils.get_test_tap_lines('messages-pg-logical-streams-no-records.json') # Turning on hard delete mode self.config['hard_delete'] = True self.config['batch_size_rows'] = 5 self.persist_lines_with_cache(tap_lines) self.assert_logical_streams_are_in_snowflake_and_are_empty() @mock.patch('target_snowflake.emit_state') def test_flush_streams_with_no_intermediate_flushes(self, mock_emit_state): """Test emitting states when no intermediate flush required""" mock_emit_state.get.return_value = None tap_lines = test_utils.get_test_tap_lines('messages-pg-logical-streams.json') # Set batch size big enough to never has to flush in the middle self.config['hard_delete'] = True self.config['batch_size_rows'] = 1000 self.persist_lines_with_cache(tap_lines) # State should be emitted only once with the latest received STATE message self.assertEqual( mock_emit_state.mock_calls, [ mock.call({"currently_syncing": None, "bookmarks": { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}) ]) # Every table should be loaded correctly self.assert_logical_streams_are_in_snowflake(True) @mock.patch('target_snowflake.emit_state') def test_flush_streams_with_intermediate_flushes(self, mock_emit_state): """Test emitting states when intermediate flushes required""" mock_emit_state.get.return_value = None tap_lines = test_utils.get_test_tap_lines('messages-pg-logical-streams.json') # Set batch size small enough to trigger multiple stream flushes self.config['hard_delete'] = True self.config['batch_size_rows'] = 10 self.persist_lines_with_cache(tap_lines) # State should be emitted multiple times, updating the positions only in the stream which got flushed self.assertEqual( mock_emit_state.call_args_list, [ # Flush #1 - Flushed edgydata until lsn: 108197216 mock.call({"currently_syncing": None, "bookmarks": { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #2 - Flushed logical1-logical1_table2 until lsn: 108201336 mock.call({"currently_syncing": None, "bookmarks": { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108201336, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #3 - Flushed logical1-logical1_table2 until lsn: 108237600 mock.call({"currently_syncing": None, "bookmarks": { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108237600, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #4 - Flushed logical1-logical1_table2 until lsn: 108238768 mock.call({"currently_syncing": None, "bookmarks": { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108238768, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #5 - Flushed logical1-logical1_table2 until lsn: 108239704, mock.call({"currently_syncing": None, "bookmarks": { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108239896, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108196176, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #6 - Last flush, update every stream lsn: 108240872, mock.call({"currently_syncing": None, "bookmarks": { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), ]) # Every table should be loaded correctly self.assert_logical_streams_are_in_snowflake(True) @mock.patch('target_snowflake.emit_state') def test_flush_streams_with_intermediate_flushes_on_all_streams(self, mock_emit_state): """Test emitting states when intermediate flushes required and flush_all_streams is enabled""" mock_emit_state.get.return_value = None tap_lines = test_utils.get_test_tap_lines('messages-pg-logical-streams.json') # Set batch size small enough to trigger multiple stream flushes self.config['hard_delete'] = True self.config['batch_size_rows'] = 10 self.config['flush_all_streams'] = True self.persist_lines_with_cache(tap_lines) # State should be emitted 6 times, flushing every stream and updating every stream position self.assertEqual( mock_emit_state.call_args_list, [ # Flush #1 - Flush every stream until lsn: 108197216 mock.call({"currently_syncing": None, "bookmarks": { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108197216, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #2 - Flush every stream until lsn 108201336 mock.call({'currently_syncing': None, 'bookmarks': { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108201336, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108201336, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108201336, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108201336, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #3 - Flush every stream until lsn: 108237600 mock.call({'currently_syncing': None, 'bookmarks': { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108237600, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108237600, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108237600, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108237600, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #4 - Flush every stream until lsn: 108238768 mock.call({'currently_syncing': None, 'bookmarks': { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108238768, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108238768, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108238768, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108238768, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #5 - Flush every stream until lsn: 108239704, mock.call({'currently_syncing': None, 'bookmarks': { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108239896, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108239896, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108239896, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108239896, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), # Flush #6 - Last flush, update every stream until lsn: 108240872, mock.call({'currently_syncing': None, 'bookmarks': { "logical1-logical1_edgydata": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723596, "xmin": None}, "logical1-logical1_table1": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723618, "xmin": None}, "logical1-logical1_table2": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723635, "xmin": None}, "logical2-logical2_table1": {"last_replication_method": "LOG_BASED", "lsn": 108240872, "version": 1570922723651, "xmin": None}, "public-city": {"last_replication_method": "INCREMENTAL", "replication_key": "id", "version": 1570922723667, "replication_key_value": 4079}, "public-country": {"last_replication_method": "FULL_TABLE", "version": 1570922730456, "xmin": None}, "public2-wearehere": {}}}), ]) # Every table should be loaded correctly self.assert_logical_streams_are_in_snowflake(True) @mock.patch('target_snowflake.emit_state') def test_flush_streams_based_on_batch_wait_limit(self, mock_emit_state): """Tests logical streams from pg with inserts, updates and deletes""" tap_lines = test_utils.get_test_tap_lines('messages-pg-logical-streams.json') mock_emit_state.get.return_value = None self.config['hard_delete'] = True self.config['batch_size_rows'] = 1000 self.config['batch_wait_limit_seconds'] = 0.1 self.persist_lines_with_cache(tap_lines) self.assert_logical_streams_are_in_snowflake(True) self.assertGreater(mock_emit_state.call_count, 1, 'Expecting multiple flushes') def test_record_validation(self): """Test validating records""" tap_lines = test_utils.get_test_tap_lines('messages-with-invalid-records.json') # Loading invalid records when record validation enabled should fail at ... self.config['validate_records'] = True with self.assertRaises(RecordValidationException): self.persist_lines_with_cache(tap_lines) # Loading invalid records when record validation disabled should fail at load time self.config['validate_records'] = False if self.config['file_format'] == os.environ.get('TARGET_SNOWFLAKE_FILE_FORMAT_CSV'): with self.assertRaises(ProgrammingError): self.persist_lines_with_cache(tap_lines) if self.config['file_format'] == os.environ.get('TARGET_SNOWFLAKE_FILE_FORMAT_PARQUET'): with self.assertRaises(ArrowTypeError): self.persist_lines_with_cache(tap_lines) def test_pg_records_validation(self): """Test validating records from postgres tap""" tap_lines_invalid_records = test_utils.get_test_tap_lines('messages-pg-with-invalid-records.json') # Loading invalid records when record validation enabled should fail at ... self.config['validate_records'] = True with self.assertRaises(RecordValidationException): self.persist_lines_with_cache(tap_lines_invalid_records) # Loading invalid records when record validation disabled, should pass without any exceptions self.config['validate_records'] = False self.persist_lines_with_cache(tap_lines_invalid_records) # Valid records should pass for both with and without validation tap_lines_valid_records = test_utils.get_test_tap_lines('messages-pg-with-valid-records.json') self.config['validate_records'] = True self.persist_lines_with_cache(tap_lines_valid_records) def test_loading_tables_with_custom_temp_dir(self): """Loading multiple tables from the same input tap using custom temp directory""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Turning on client-side encryption and load self.config['temp_dir'] = ('~/.pipelinewise/tmp') self.persist_lines_with_cache(tap_lines) self.assert_three_streams_are_into_snowflake() def test_aws_env_vars(self): """Test loading data with credentials defined in AWS environment variables than explicitly provided access keys""" tap_lines = test_utils.get_test_tap_lines("messages-with-three-streams.json") try: # Save original config to restore later orig_config = self.config.copy() # Move aws access key and secret from config into environment variables os.environ['AWS_ACCESS_KEY_ID'] = os.environ.get('TARGET_SNOWFLAKE_AWS_ACCESS_KEY') os.environ['AWS_SECRET_ACCESS_KEY'] = os.environ.get('TARGET_SNOWFLAKE_AWS_SECRET_ACCESS_KEY') del self.config['aws_access_key_id'] del self.config['aws_secret_access_key'] # Create a new S3 client using env vars s3Client = S3UploadClient(self.config) s3Client._create_s3_client() # Restore the original state to not confuse other tests finally: del os.environ['AWS_ACCESS_KEY_ID'] del os.environ['AWS_SECRET_ACCESS_KEY'] self.config = orig_config.copy() def test_profile_based_auth(self): """Test AWS profile based authentication rather than access keys""" try: # Save original config to restore later orig_config = self.config.copy() # Remove access keys from config and add profile name del self.config['aws_access_key_id'] del self.config['aws_secret_access_key'] self.config['aws_profile'] = 'fake-profile' # Create a new S3 client using profile based authentication with self.assertRaises(botocore.exceptions.ProfileNotFound): s3UploaddClient = S3UploadClient(self.config) s3UploaddClient._create_s3_client() # Restore the original state to not confuse other tests finally: self.config = orig_config.copy() def test_profile_based_auth_aws_env_var(self): """Test AWS profile based authentication using AWS environment variables""" try: # Save original config to restore later orig_config = self.config.copy() # Remove access keys from config and add profile name environment variable del self.config['aws_access_key_id'] del self.config['aws_secret_access_key'] os.environ['AWS_PROFILE'] = 'fake_profile' # Create a new S3 client using profile based authentication with self.assertRaises(botocore.exceptions.ProfileNotFound): s3UploaddClient = S3UploadClient(self.config) s3UploaddClient._create_s3_client() # Restore the original state to not confuse other tests finally: del os.environ['AWS_PROFILE'] self.config = orig_config.copy() def test_s3_custom_endpoint_url(self): """Test S3 connection with custom region and endpoint URL""" try: # Save original config to restore later orig_config = self.config.copy() # Define custom S3 endpoint self.config['s3_endpoint_url'] = 'fake-endpoint-url' # Botocore should raise ValurError in case of fake S3 endpoint url with self.assertRaises(ValueError): s3UploaddClient = S3UploadClient(self.config) s3UploaddClient._create_s3_client() # Restore the original state to not confuse other tests finally: self.config = orig_config.copy() def test_too_many_records_exception(self): """Test if query function raise exception if max_records exceeded""" snowflake = DbSync(self.config) # No max_record limit by default sample_rows = snowflake.query("SELECT seq4() FROM TABLE(GENERATOR(ROWCOUNT => 50000))") self.assertEqual(len(sample_rows), 50000) # Should raise exception when max_records exceeded with self.assertRaises(target_snowflake.db_sync.TooManyRecordsException): snowflake.query("SELECT seq4() FROM TABLE(GENERATOR(ROWCOUNT => 50000))", max_records=10000) def test_loading_tables_with_no_compression(self): """Loading multiple tables with compression turned off""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Turning off client-side encryption and load self.config['no_compression'] = True self.persist_lines_with_cache(tap_lines) self.assert_three_streams_are_into_snowflake() def test_quoted_identifiers_ignore_case_session_parameter(self): """Test if QUOTED_IDENTIFIERS_IGNORE_CASE session parameter set to FALSE""" snowflake = DbSync(self.config) # Set QUOTED_IDENTIFIERS_IGNORE_CASE to True on user level snowflake.query(f"ALTER USER {self.config['user']} SET QUOTED_IDENTIFIERS_IGNORE_CASE = TRUE") # Quoted column names should be case sensitive even if the # QUOTED_IDENTIFIERS_IGNORE_CASE parameter set to TRUE on user or account level result = snowflake.query('SELECT 1 AS "Foo", 1 AS "foo", 1 AS "FOO", 1 AS foo, 1 AS FOO') self.assertEqual(result, [{ 'Foo': 1, 'foo': 1, 'FOO': 1 }]) # Reset parameters default snowflake.query(f"ALTER USER {self.config['user']} UNSET QUOTED_IDENTIFIERS_IGNORE_CASE") def test_query_tagging(self): """Loading multiple tables with query tagging""" snowflake = DbSync(self.config) tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') current_time = datetime.datetime.now().strftime('%H:%M:%s') # Tag queries with dynamic schema and table tokens self.config['query_tag'] = f'PPW test tap run at {current_time}. ' \ f'Loading into {{{{database}}}}.{{{{schema}}}}.{{{{table}}}}' self.persist_lines_with_cache(tap_lines) # Get query tags from QUERY_HISTORY result = snowflake.query(f"""SELECT query_tag, count(*) queries FROM table(information_schema.query_history_by_user('{self.config['user']}')) WHERE query_tag like '%%PPW test tap run at {current_time}%%' GROUP BY query_tag ORDER BY 1""") target_db = self.config['dbname'] target_schema = self.config['default_target_schema'] self.assertEqual(result, [{ 'QUERY_TAG': f'PPW test tap run at {current_time}. Loading into {target_db}..', 'QUERIES': 4 }, { 'QUERY_TAG': f'PPW test tap run at {current_time}. Loading into {target_db}.{target_schema}.TEST_TABLE_ONE', 'QUERIES': 7 }, { 'QUERY_TAG': f'PPW test tap run at {current_time}. Loading into {target_db}.{target_schema}.TEST_TABLE_THREE', 'QUERIES': 6 }, { 'QUERY_TAG': f'PPW test tap run at {current_time}. Loading into {target_db}.{target_schema}.TEST_TABLE_TWO', 'QUERIES': 6 } ]) # Detecting file format type should run only once result = snowflake.query(f"""SELECT count(*) show_file_format_queries FROM table(information_schema.query_history_by_user('{self.config['user']}')) WHERE query_tag like '%%PPW test tap run at {current_time}%%' AND query_text like 'SHOW FILE FORMATS%%'""") self.assertEqual(result, [{ 'SHOW_FILE_FORMAT_QUERIES': 1 } ]) def test_table_stage(self): """Test if data can be loaded via table stages""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Set s3_bucket and stage to None to use table stages self.config['s3_bucket'] = None self.config['stage'] = None # Table stages should work with CSV files self.config['file_format'] = os.environ.get('TARGET_SNOWFLAKE_FILE_FORMAT_CSV') self.persist_lines_with_cache(tap_lines) self.assert_three_streams_are_into_snowflake() # Table stages should not work with Parquet files self.config['file_format'] = os.environ.get('TARGET_SNOWFLAKE_FILE_FORMAT_PARQUET') with self.assertRaises(SystemExit): self.persist_lines_with_cache(tap_lines) def test_custom_role(self): """Test if custom role can be used""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Set custom role self.config['role'] = 'invalid-not-existing-role' # Using not existing or not authorized role should raise snowflake Database exception: # 250001 (08001): Role 'INVALID-ROLE' specified in the connect string does not exist or not authorized. with self.assertRaises(DatabaseError): self.persist_lines_with_cache(tap_lines) def test_parsing_date_failure(self): """Test if custom role can be used""" tap_lines = test_utils.get_test_tap_lines('messages-with-unexpected-types.json') with self.assertRaises(target_snowflake.UnexpectedValueTypeException): self.persist_lines_with_cache(tap_lines) def test_parquet(self): """Test if parquet file can be loaded""" tap_lines = test_utils.get_test_tap_lines('messages-with-three-streams.json') # Set parquet file format self.config['file_format'] = os.environ.get('TARGET_SNOWFLAKE_FILE_FORMAT_PARQUET') self.persist_lines_with_cache(tap_lines) # Check if data loaded correctly and metadata columns exist self.assert_three_streams_are_into_snowflake() def test_archive_load_files(self): """Test if load file is copied to archive folder""" self.config['archive_load_files'] = True self.config['archive_load_files_s3_prefix'] = 'archive_folder' self.config['tap_id'] = 'test_tap_id' self.config['client_side_encryption_master_key'] = '' s3_bucket = self.config['s3_bucket'] # Delete any dangling files from archive files_in_s3_archive = self.s3_client.list_objects( Bucket=s3_bucket, Prefix="archive_folder/test_tap_id/").get('Contents', []) for file_in_archive in files_in_s3_archive: key = file_in_archive["Key"] self.s3_client.delete_object(Bucket=s3_bucket, Key=key) tap_lines = test_utils.get_test_tap_lines('messages-simple-table.json') self.persist_lines_with_cache(tap_lines) # Verify expected file metadata in S3 files_in_s3_archive = self.s3_client.list_objects(Bucket=s3_bucket, Prefix="archive_folder/test_tap_id/").get( 'Contents') self.assertIsNotNone(files_in_s3_archive) self.assertEqual(1, len(files_in_s3_archive)) archived_file_key = files_in_s3_archive[0]['Key'] archive_metadata = self.s3_client.head_object(Bucket=s3_bucket, Key=archived_file_key)['Metadata'] self.assertEqual({ 'tap': 'test_tap_id', 'schema': 'tap_mysql_test', 'table': 'test_simple_table', 'archived-by': 'pipelinewise_target_snowflake', 'incremental-key': 'id', 'incremental-key-min': '1', 'incremental-key-max': '5' }, archive_metadata) # Verify expected file contents tmpfile = tempfile.NamedTemporaryFile() with open(tmpfile.name, 'wb') as f: self.s3_client.download_fileobj(s3_bucket, archived_file_key, f) lines = [] with gzip.open(tmpfile, "rt") as gzipfile: for line in gzipfile.readlines(): lines.append(line) self.assertEqual(''.join(lines), '''1,"xyz1","not-formatted-time-1" 2,"xyz2","not-formatted-time-2" 3,"xyz3","not-formatted-time-3" 4,"xyz4","not-formatted-time-4" 5,"xyz5","not-formatted-time-5" ''')

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0

null

0

1

0

1

0

null

0

4

8a00cc8bf1d209504a925aa2aef502dd4989faa1

90

py

Python

customers/schema/__init__.py

dionyself/leaky

d31d8dcd4e9f8fdadd3c504140097670b7d6be4d

[ "Apache-2.0" ]

1

2020-01-22T02:56:47.000Z

customers/schema/__init__.py

dionyself/leaky

d31d8dcd4e9f8fdadd3c504140097670b7d6be4d

[ "Apache-2.0" ]

null

customers/schema/__init__.py

dionyself/leaky

d31d8dcd4e9f8fdadd3c504140097670b7d6be4d

[ "Apache-2.0" ]

null

from .mutation import Mutation from .query import Query __all__ = ['Mutation', 'Query']

15

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11

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0.155556

90

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false

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null

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1

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4

8a0827a00f4c7becd63006f70459cdf0511c53b3

304

py

Python

live_recorder/you_live/__init__.py

lyzhang0113/LiveRecorder

a4e59e248fc963a5dcad8f24be916462bf43f657

[ "MIT" ]

null

live_recorder/you_live/__init__.py

lyzhang0113/LiveRecorder

a4e59e248fc963a5dcad8f24be916462bf43f657

[ "MIT" ]

7

2020-12-07T16:39:52.000Z

2020-12-07T17:00:55.000Z

live_recorder/you_live/__init__.py

h-nakashima/LiveRecorder

6cbb463978d2ca7d4f3577b92cb734a4389ea923

[ "MIT" ]

null

from .douyu_recorder import DouyuRecorder from .bili_recorder import BiliRecorder from .kuaishou_recorder import KuaishouRecorder from .flv_checker import Flv from .live_thread.download import DownloadThread from .live_thread.monitoring import MonitoringThread from . import _recorder as Recorder

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null

0

1

0

1

0

1

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4

8a0a0c0c218d907fa41fda16b9633c2bd2099592

369

py

Python

agent/states/state.py

jamesrosstwo/battlesnake

c37d38101d0df49c703e2d9df53a4e8678b9ecd5

[ "MIT" ]

null

agent/states/state.py

jamesrosstwo/battlesnake

c37d38101d0df49c703e2d9df53a4e8678b9ecd5

[ "MIT" ]

null

agent/states/state.py

jamesrosstwo/battlesnake

c37d38101d0df49c703e2d9df53a4e8678b9ecd5

[ "MIT" ]

null

from abc import ABC, abstractmethod from agent.actions.action import BattleSnakeAction class BattleSnakeState(ABC): def __init__(self): pass @abstractmethod def enter(self, entity): pass @abstractmethod def execute(self, entity) -> BattleSnakeAction: pass @abstractmethod def exit(self, entity): pass

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369

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null

1

0

null

0

1

0

1

0

4

8a1201c631c44847ffac9c61c14ce7ced66018bb

126

py

Python

python/testData/formatter/spaceAfterTrailingCommaIfNoSpaceAfterCommaButWithinBracesOrBrackets.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/formatter/spaceAfterTrailingCommaIfNoSpaceAfterCommaButWithinBracesOrBrackets.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/formatter/spaceAfterTrailingCommaIfNoSpaceAfterCommaButWithinBracesOrBrackets.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

s1 = {1, 2, 3,} s2 = {1, } d1 = {'foo': 1, 'bar': 2, 'baz': 3,} d2 = {'foo': 1,} d3 = {} l1 = [1, 2, 3,] l2 = [1, ] l3 = []

11.454545

36

0.31746

24

126

1.666667

0.583333

0.1

0.15

0

0.227273

0.301587

126

10

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0.227273

0

0.095238

0

1

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false

0

1

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1

null

0

1

0

1

0

null

0

4

8a31710a4e7028c50a4e31444adbee6f892f2936

2,506

py

Python

data/gdelt/service/simsearch-multiple-sources.py

smartdatalake/simsearch

9e0ffc0b9da0c77f798cca4d21c7fb834e96ca6d

[ "Apache-2.0" ]

3

2020-07-28T14:59:41.000Z

2022-03-07T03:58:50.000Z

data/gdelt/service/simsearch-multiple-sources.py

smartdatalake/simsearch

9e0ffc0b9da0c77f798cca4d21c7fb834e96ca6d

[ "Apache-2.0" ]

1

2021-04-28T15:16:50.000Z

data/gdelt/service/simsearch-multiple-sources.py

smartdatalake/simsearch

9e0ffc0b9da0c77f798cca4d21c7fb834e96ca6d

[ "Apache-2.0" ]

1

2021-04-24T00:54:10.000Z

import requests # Request to the web service to create a new instance of SimSearch url = 'http://localhost:8090/simsearch/api/index' # Blueprint JSON specification of the multiple data sources with queryable attributes regarding the same entities having common identifiers. # Three different types of data sources (each providing one or multiple queryable attributes) are specified in this example: # (1) JDBC conncetion to a PostgreSQL/PostGIS database; # (2) a local CSV file; and # (3) An ElasticSearch REST API service hosted at a remote server. index = {'sources':[{'name':'localPostGISdatabase','type': 'jdbc','driver': 'org.postgresql.Driver','url': 'jdbc:postgresql://localhost:5432/myDatabase','username':'postgresUserName','password':'postgresPassword','encoding':'UTF-8'}, {'name':'localPath1','type':'csv','directory':'./test/'}, {'name':'remoteElasticSearchAPI','type':'restapi','url':'http://remoteHostIPaddress:9200/myIndexName/_search?pretty','username':'elasticUserName','password':'elasticPassword'}], 'search':[ {'operation':'spatial_knn','source':'localPath1','dataset':'dataset1.csv','header':'true','search_column':'WKT'}, {'operation':'numerical_topk','source':'localPath1','header':'true','dataset':'dataset1.csv','search_column':'positive_sentiment'}, {'operation':'numerical_topk','source':'localPath1','dataset':'dataset1.csv','header':'true','search_column':'negative_sentiment'}, {'operation':'numerical_topk','source':'remoteElasticSearchAPI','dataset':'companies','key_column':'id','search_column':'employees'}, {'operation':'categorical_topk','source':'localPath1','dataset':'dataset2.csv','search_column':'persons'}, {'operation':'numerical_topk','source':'remoteElasticSearchAPI','dataset':'companies','key_column':'id','search_column':'revenue'}, {'operation':'spatial_knn','source':'localPostGISdatabase','dataset':'companies','search_column':'location'}, {'operation':'categorical_topk','source':'localPostGISdatabase','dataset':'companies','search_column':'keywords'}]} # No API key is required when submitting this request to create a new instance # A new API key will be generated once this request completes successfully headers = {'Content-Type' : 'application/json'} # Post a request with these parameters response = requests.post(url, json=index, headers=headers) # Provide the resulting message # IMPORTANT! Save the API key returned with this message and use it in all subsequent requests against this instance of SimSearch print(response.json())

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0

4

8a3455b4f88b445a7c8b0d5947bbe4a1ab98eb54

75

py

Python

linsheng.py

lin8979/myss

9d344400fb98df6a32b95480a2e1f9e8936cc8b4

[ "Apache-2.0" ]

null

linsheng.py

lin8979/myss

9d344400fb98df6a32b95480a2e1f9e8936cc8b4

[ "Apache-2.0" ]

null

linsheng.py

lin8979/myss

9d344400fb98df6a32b95480a2e1f9e8936cc8b4

[ "Apache-2.0" ]

null

print("hello world " ) print("nihoa nihao" ) print("haofan haoifan" )

18.75

24

0.64

9

75

5.333333

0.777778

0

0.2

75

3

25

0.8

0

0.493333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8a3e32fbca935d3b779ad37acdcbe058668c9a2b

35,097

py

Python

tests/test_op.py

vvvrrooomm/alembic

5d89cf4e77e5568887f2c8926a589c55427dab12

[ "MIT" ]

null

tests/test_op.py

vvvrrooomm/alembic

5d89cf4e77e5568887f2c8926a589c55427dab12

[ "MIT" ]

null

tests/test_op.py

vvvrrooomm/alembic

5d89cf4e77e5568887f2c8926a589c55427dab12

[ "MIT" ]

null

"""Test against the builders in the op.* module.""" from sqlalchemy import Boolean from sqlalchemy import Column from sqlalchemy import event from sqlalchemy import ForeignKey from sqlalchemy import Integer from sqlalchemy import String from sqlalchemy import Table from sqlalchemy.sql import column from sqlalchemy.sql import func from sqlalchemy.sql import text from alembic import op from alembic.operations import ops from alembic.operations import schemaobj from alembic.testing import assert_raises_message from alembic.testing import config from alembic.testing import eq_ from alembic.testing import is_ from alembic.testing import mock from alembic.testing.fixtures import op_fixture from alembic.testing.fixtures import TestBase @event.listens_for(Table, "after_parent_attach") def _add_cols(table, metadata): if table.name == "tbl_with_auto_appended_column": table.append_column(Column("bat", Integer)) class OpTest(TestBase): def test_rename_table(self): context = op_fixture() op.rename_table("t1", "t2") context.assert_("ALTER TABLE t1 RENAME TO t2") def test_rename_table_schema(self): context = op_fixture() op.rename_table("t1", "t2", schema="foo") context.assert_("ALTER TABLE foo.t1 RENAME TO foo.t2") def test_create_index_no_expr_allowed(self): op_fixture() assert_raises_message( ValueError, r"String or text construct expected", op.create_index, "name", "tname", [func.foo(column("x"))], ) def test_add_column_schema_hard_quoting(self): from sqlalchemy.sql.schema import quoted_name context = op_fixture("postgresql") op.add_column( "somename", Column("colname", String), schema=quoted_name("some.schema", quote=True), ) context.assert_( 'ALTER TABLE "some.schema".somename ADD COLUMN colname VARCHAR' ) def test_rename_table_schema_hard_quoting(self): from sqlalchemy.sql.schema import quoted_name context = op_fixture("postgresql") op.rename_table( "t1", "t2", schema=quoted_name("some.schema", quote=True) ) context.assert_('ALTER TABLE "some.schema".t1 RENAME TO t2') def test_add_constraint_schema_hard_quoting(self): from sqlalchemy.sql.schema import quoted_name context = op_fixture("postgresql") op.create_check_constraint( "ck_user_name_len", "user_table", func.len(column("name")) > 5, schema=quoted_name("some.schema", quote=True), ) context.assert_( 'ALTER TABLE "some.schema".user_table ADD ' "CONSTRAINT ck_user_name_len CHECK (len(name) > 5)" ) def test_create_index_quoting(self): context = op_fixture("postgresql") op.create_index("geocoded", "locations", ["IShouldBeQuoted"]) context.assert_( 'CREATE INDEX geocoded ON locations ("IShouldBeQuoted")' ) def test_create_index_expressions(self): context = op_fixture() op.create_index("geocoded", "locations", [text("lower(coordinates)")]) context.assert_( "CREATE INDEX geocoded ON locations (lower(coordinates))" ) def test_add_column(self): context = op_fixture() op.add_column("t1", Column("c1", Integer, nullable=False)) context.assert_("ALTER TABLE t1 ADD COLUMN c1 INTEGER NOT NULL") def test_add_column_schema(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, nullable=False), schema="foo" ) context.assert_("ALTER TABLE foo.t1 ADD COLUMN c1 INTEGER NOT NULL") def test_add_column_with_default(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, nullable=False, server_default="12") ) context.assert_( "ALTER TABLE t1 ADD COLUMN c1 INTEGER DEFAULT '12' NOT NULL" ) def test_add_column_with_index(self): context = op_fixture() op.add_column("t1", Column("c1", Integer, nullable=False, index=True)) context.assert_( "ALTER TABLE t1 ADD COLUMN c1 INTEGER NOT NULL", "CREATE INDEX ix_t1_c1 ON t1 (c1)", ) def test_add_column_schema_with_default(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, nullable=False, server_default="12"), schema="foo", ) context.assert_( "ALTER TABLE foo.t1 ADD COLUMN c1 INTEGER DEFAULT '12' NOT NULL" ) def test_add_column_fk(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, ForeignKey("c2.id"), nullable=False) ) context.assert_( "ALTER TABLE t1 ADD COLUMN c1 INTEGER NOT NULL", "ALTER TABLE t1 ADD FOREIGN KEY(c1) REFERENCES c2 (id)", ) def test_add_column_schema_fk(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, ForeignKey("c2.id"), nullable=False), schema="foo", ) context.assert_( "ALTER TABLE foo.t1 ADD COLUMN c1 INTEGER NOT NULL", "ALTER TABLE foo.t1 ADD FOREIGN KEY(c1) REFERENCES c2 (id)", ) def test_add_column_schema_type(self): """Test that a schema type generates its constraints....""" context = op_fixture() op.add_column("t1", Column("c1", Boolean, nullable=False)) context.assert_( "ALTER TABLE t1 ADD COLUMN c1 BOOLEAN NOT NULL", "ALTER TABLE t1 ADD CHECK (c1 IN (0, 1))", ) def test_add_column_schema_schema_type(self): """Test that a schema type generates its constraints....""" context = op_fixture() op.add_column( "t1", Column("c1", Boolean, nullable=False), schema="foo" ) context.assert_( "ALTER TABLE foo.t1 ADD COLUMN c1 BOOLEAN NOT NULL", "ALTER TABLE foo.t1 ADD CHECK (c1 IN (0, 1))", ) def test_add_column_schema_type_checks_rule(self): """Test that a schema type doesn't generate a constraint based on check rule.""" context = op_fixture("postgresql") op.add_column("t1", Column("c1", Boolean, nullable=False)) context.assert_("ALTER TABLE t1 ADD COLUMN c1 BOOLEAN NOT NULL") def test_add_column_fk_self_referential(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, ForeignKey("t1.c2"), nullable=False) ) context.assert_( "ALTER TABLE t1 ADD COLUMN c1 INTEGER NOT NULL", "ALTER TABLE t1 ADD FOREIGN KEY(c1) REFERENCES t1 (c2)", ) def test_add_column_schema_fk_self_referential(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, ForeignKey("foo.t1.c2"), nullable=False), schema="foo", ) context.assert_( "ALTER TABLE foo.t1 ADD COLUMN c1 INTEGER NOT NULL", "ALTER TABLE foo.t1 ADD FOREIGN KEY(c1) REFERENCES foo.t1 (c2)", ) def test_add_column_fk_schema(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, ForeignKey("remote.t2.c2"), nullable=False), ) context.assert_( "ALTER TABLE t1 ADD COLUMN c1 INTEGER NOT NULL", "ALTER TABLE t1 ADD FOREIGN KEY(c1) REFERENCES remote.t2 (c2)", ) def test_add_column_schema_fk_schema(self): context = op_fixture() op.add_column( "t1", Column("c1", Integer, ForeignKey("remote.t2.c2"), nullable=False), schema="foo", ) context.assert_( "ALTER TABLE foo.t1 ADD COLUMN c1 INTEGER NOT NULL", "ALTER TABLE foo.t1 ADD FOREIGN KEY(c1) REFERENCES remote.t2 (c2)", ) def test_drop_column(self): context = op_fixture() op.drop_column("t1", "c1") context.assert_("ALTER TABLE t1 DROP COLUMN c1") def test_drop_column_schema(self): context = op_fixture() op.drop_column("t1", "c1", schema="foo") context.assert_("ALTER TABLE foo.t1 DROP COLUMN c1") def test_alter_column_nullable(self): context = op_fixture() op.alter_column("t", "c", nullable=True) context.assert_( # TODO: not sure if this is PG only or standard # SQL "ALTER TABLE t ALTER COLUMN c DROP NOT NULL" ) def test_alter_column_schema_nullable(self): context = op_fixture() op.alter_column("t", "c", nullable=True, schema="foo") context.assert_( # TODO: not sure if this is PG only or standard # SQL "ALTER TABLE foo.t ALTER COLUMN c DROP NOT NULL" ) def test_alter_column_not_nullable(self): context = op_fixture() op.alter_column("t", "c", nullable=False) context.assert_( # TODO: not sure if this is PG only or standard # SQL "ALTER TABLE t ALTER COLUMN c SET NOT NULL" ) def test_alter_column_schema_not_nullable(self): context = op_fixture() op.alter_column("t", "c", nullable=False, schema="foo") context.assert_( # TODO: not sure if this is PG only or standard # SQL "ALTER TABLE foo.t ALTER COLUMN c SET NOT NULL" ) def test_alter_column_rename(self): context = op_fixture() op.alter_column("t", "c", new_column_name="x") context.assert_("ALTER TABLE t RENAME c TO x") def test_alter_column_schema_rename(self): context = op_fixture() op.alter_column("t", "c", new_column_name="x", schema="foo") context.assert_("ALTER TABLE foo.t RENAME c TO x") def test_alter_column_type(self): context = op_fixture() op.alter_column("t", "c", type_=String(50)) context.assert_("ALTER TABLE t ALTER COLUMN c TYPE VARCHAR(50)") def test_alter_column_schema_type(self): context = op_fixture() op.alter_column("t", "c", type_=String(50), schema="foo") context.assert_("ALTER TABLE foo.t ALTER COLUMN c TYPE VARCHAR(50)") def test_alter_column_set_default(self): context = op_fixture() op.alter_column("t", "c", server_default="q") context.assert_("ALTER TABLE t ALTER COLUMN c SET DEFAULT 'q'") def test_alter_column_schema_set_default(self): context = op_fixture() op.alter_column("t", "c", server_default="q", schema="foo") context.assert_("ALTER TABLE foo.t ALTER COLUMN c SET DEFAULT 'q'") def test_alter_column_set_compiled_default(self): context = op_fixture() op.alter_column( "t", "c", server_default=func.utc_thing(func.current_timestamp()) ) context.assert_( "ALTER TABLE t ALTER COLUMN c " "SET DEFAULT utc_thing(CURRENT_TIMESTAMP)" ) def test_alter_column_schema_set_compiled_default(self): context = op_fixture() op.alter_column( "t", "c", server_default=func.utc_thing(func.current_timestamp()), schema="foo", ) context.assert_( "ALTER TABLE foo.t ALTER COLUMN c " "SET DEFAULT utc_thing(CURRENT_TIMESTAMP)" ) def test_alter_column_drop_default(self): context = op_fixture() op.alter_column("t", "c", server_default=None) context.assert_("ALTER TABLE t ALTER COLUMN c DROP DEFAULT") def test_alter_column_schema_drop_default(self): context = op_fixture() op.alter_column("t", "c", server_default=None, schema="foo") context.assert_("ALTER TABLE foo.t ALTER COLUMN c DROP DEFAULT") def test_alter_column_schema_type_unnamed(self): context = op_fixture("mssql", native_boolean=False) op.alter_column("t", "c", type_=Boolean()) context.assert_( "ALTER TABLE t ALTER COLUMN c BIT", "ALTER TABLE t ADD CHECK (c IN (0, 1))", ) def test_alter_column_schema_schema_type_unnamed(self): context = op_fixture("mssql", native_boolean=False) op.alter_column("t", "c", type_=Boolean(), schema="foo") context.assert_( "ALTER TABLE foo.t ALTER COLUMN c BIT", "ALTER TABLE foo.t ADD CHECK (c IN (0, 1))", ) def test_alter_column_schema_type_named(self): context = op_fixture("mssql", native_boolean=False) op.alter_column("t", "c", type_=Boolean(name="xyz")) context.assert_( "ALTER TABLE t ALTER COLUMN c BIT", "ALTER TABLE t ADD CONSTRAINT xyz CHECK (c IN (0, 1))", ) def test_alter_column_schema_schema_type_named(self): context = op_fixture("mssql", native_boolean=False) op.alter_column("t", "c", type_=Boolean(name="xyz"), schema="foo") context.assert_( "ALTER TABLE foo.t ALTER COLUMN c BIT", "ALTER TABLE foo.t ADD CONSTRAINT xyz CHECK (c IN (0, 1))", ) def test_alter_column_schema_type_existing_type(self): context = op_fixture("mssql", native_boolean=False) op.alter_column( "t", "c", type_=String(10), existing_type=Boolean(name="xyz") ) context.assert_( "ALTER TABLE t DROP CONSTRAINT xyz", "ALTER TABLE t ALTER COLUMN c VARCHAR(10)", ) def test_alter_column_schema_schema_type_existing_type(self): context = op_fixture("mssql", native_boolean=False) op.alter_column( "t", "c", type_=String(10), existing_type=Boolean(name="xyz"), schema="foo", ) context.assert_( "ALTER TABLE foo.t DROP CONSTRAINT xyz", "ALTER TABLE foo.t ALTER COLUMN c VARCHAR(10)", ) def test_alter_column_schema_type_existing_type_no_const(self): context = op_fixture("postgresql") op.alter_column("t", "c", type_=String(10), existing_type=Boolean()) context.assert_("ALTER TABLE t ALTER COLUMN c TYPE VARCHAR(10)") def test_alter_column_schema_schema_type_existing_type_no_const(self): context = op_fixture("postgresql") op.alter_column( "t", "c", type_=String(10), existing_type=Boolean(), schema="foo" ) context.assert_("ALTER TABLE foo.t ALTER COLUMN c TYPE VARCHAR(10)") def test_alter_column_schema_type_existing_type_no_new_type(self): context = op_fixture("postgresql") op.alter_column("t", "c", nullable=False, existing_type=Boolean()) context.assert_("ALTER TABLE t ALTER COLUMN c SET NOT NULL") def test_alter_column_schema_schema_type_existing_type_no_new_type(self): context = op_fixture("postgresql") op.alter_column( "t", "c", nullable=False, existing_type=Boolean(), schema="foo" ) context.assert_("ALTER TABLE foo.t ALTER COLUMN c SET NOT NULL") def test_add_foreign_key(self): context = op_fixture() op.create_foreign_key( "fk_test", "t1", "t2", ["foo", "bar"], ["bat", "hoho"] ) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT fk_test FOREIGN KEY(foo, bar) " "REFERENCES t2 (bat, hoho)" ) def test_add_foreign_key_schema(self): context = op_fixture() op.create_foreign_key( "fk_test", "t1", "t2", ["foo", "bar"], ["bat", "hoho"], source_schema="foo2", referent_schema="bar2", ) context.assert_( "ALTER TABLE foo2.t1 ADD CONSTRAINT fk_test FOREIGN KEY(foo, bar) " "REFERENCES bar2.t2 (bat, hoho)" ) def test_add_foreign_key_schema_same_tablename(self): context = op_fixture() op.create_foreign_key( "fk_test", "t1", "t1", ["foo", "bar"], ["bat", "hoho"], source_schema="foo2", referent_schema="bar2", ) context.assert_( "ALTER TABLE foo2.t1 ADD CONSTRAINT fk_test FOREIGN KEY(foo, bar) " "REFERENCES bar2.t1 (bat, hoho)" ) def test_add_foreign_key_onupdate(self): context = op_fixture() op.create_foreign_key( "fk_test", "t1", "t2", ["foo", "bar"], ["bat", "hoho"], onupdate="CASCADE", ) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT fk_test FOREIGN KEY(foo, bar) " "REFERENCES t2 (bat, hoho) ON UPDATE CASCADE" ) def test_add_foreign_key_ondelete(self): context = op_fixture() op.create_foreign_key( "fk_test", "t1", "t2", ["foo", "bar"], ["bat", "hoho"], ondelete="CASCADE", ) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT fk_test FOREIGN KEY(foo, bar) " "REFERENCES t2 (bat, hoho) ON DELETE CASCADE" ) def test_add_foreign_key_deferrable(self): context = op_fixture() op.create_foreign_key( "fk_test", "t1", "t2", ["foo", "bar"], ["bat", "hoho"], deferrable=True, ) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT fk_test FOREIGN KEY(foo, bar) " "REFERENCES t2 (bat, hoho) DEFERRABLE" ) def test_add_foreign_key_initially(self): context = op_fixture() op.create_foreign_key( "fk_test", "t1", "t2", ["foo", "bar"], ["bat", "hoho"], initially="INITIAL", ) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT fk_test FOREIGN KEY(foo, bar) " "REFERENCES t2 (bat, hoho) INITIALLY INITIAL" ) @config.requirements.foreign_key_match def test_add_foreign_key_match(self): context = op_fixture() op.create_foreign_key( "fk_test", "t1", "t2", ["foo", "bar"], ["bat", "hoho"], match="SIMPLE", ) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT fk_test FOREIGN KEY(foo, bar) " "REFERENCES t2 (bat, hoho) MATCH SIMPLE" ) def test_add_foreign_key_dialect_kw(self): op_fixture() with mock.patch("sqlalchemy.schema.ForeignKeyConstraint") as fkc: op.create_foreign_key( "fk_test", "t1", "t2", ["foo", "bar"], ["bat", "hoho"], foobar_arg="xyz", ) if config.requirements.foreign_key_match.enabled: eq_( fkc.mock_calls[0], mock.call( ["foo", "bar"], ["t2.bat", "t2.hoho"], onupdate=None, ondelete=None, name="fk_test", foobar_arg="xyz", deferrable=None, initially=None, match=None, ), ) else: eq_( fkc.mock_calls[0], mock.call( ["foo", "bar"], ["t2.bat", "t2.hoho"], onupdate=None, ondelete=None, name="fk_test", foobar_arg="xyz", deferrable=None, initially=None, ), ) def test_add_foreign_key_self_referential(self): context = op_fixture() op.create_foreign_key("fk_test", "t1", "t1", ["foo"], ["bar"]) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT fk_test " "FOREIGN KEY(foo) REFERENCES t1 (bar)" ) def test_add_primary_key_constraint(self): context = op_fixture() op.create_primary_key("pk_test", "t1", ["foo", "bar"]) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT pk_test PRIMARY KEY (foo, bar)" ) def test_add_primary_key_constraint_schema(self): context = op_fixture() op.create_primary_key("pk_test", "t1", ["foo"], schema="bar") context.assert_( "ALTER TABLE bar.t1 ADD CONSTRAINT pk_test PRIMARY KEY (foo)" ) def test_add_check_constraint(self): context = op_fixture() op.create_check_constraint( "ck_user_name_len", "user_table", func.len(column("name")) > 5 ) context.assert_( "ALTER TABLE user_table ADD CONSTRAINT ck_user_name_len " "CHECK (len(name) > 5)" ) def test_add_check_constraint_schema(self): context = op_fixture() op.create_check_constraint( "ck_user_name_len", "user_table", func.len(column("name")) > 5, schema="foo", ) context.assert_( "ALTER TABLE foo.user_table ADD CONSTRAINT ck_user_name_len " "CHECK (len(name) > 5)" ) def test_add_unique_constraint(self): context = op_fixture() op.create_unique_constraint("uk_test", "t1", ["foo", "bar"]) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT uk_test UNIQUE (foo, bar)" ) def test_add_foreign_key_legacy_kwarg(self): context = op_fixture() op.create_foreign_key( name="some_fk", source="some_table", referent="referred_table", local_cols=["a", "b"], remote_cols=["c", "d"], ondelete="CASCADE", ) context.assert_( "ALTER TABLE some_table ADD CONSTRAINT some_fk " "FOREIGN KEY(a, b) REFERENCES referred_table (c, d) " "ON DELETE CASCADE" ) def test_add_unique_constraint_legacy_kwarg(self): context = op_fixture() op.create_unique_constraint( name="uk_test", source="t1", local_cols=["foo", "bar"] ) context.assert_( "ALTER TABLE t1 ADD CONSTRAINT uk_test UNIQUE (foo, bar)" ) def test_drop_constraint_legacy_kwarg(self): context = op_fixture() op.drop_constraint( name="pk_name", table_name="sometable", type_="primary" ) context.assert_("ALTER TABLE sometable DROP CONSTRAINT pk_name") def test_create_pk_legacy_kwarg(self): context = op_fixture() op.create_primary_key( name=None, table_name="sometable", cols=["router_id", "l3_agent_id"], ) context.assert_( "ALTER TABLE sometable ADD PRIMARY KEY (router_id, l3_agent_id)" ) def test_legacy_kwarg_catches_arg_missing(self): op_fixture() assert_raises_message( TypeError, "missing required positional argument: columns", op.create_primary_key, name=None, table_name="sometable", wrong_cols=["router_id", "l3_agent_id"], ) def test_add_unique_constraint_schema(self): context = op_fixture() op.create_unique_constraint( "uk_test", "t1", ["foo", "bar"], schema="foo" ) context.assert_( "ALTER TABLE foo.t1 ADD CONSTRAINT uk_test UNIQUE (foo, bar)" ) def test_drop_constraint(self): context = op_fixture() op.drop_constraint("foo_bar_bat", "t1") context.assert_("ALTER TABLE t1 DROP CONSTRAINT foo_bar_bat") def test_drop_constraint_schema(self): context = op_fixture() op.drop_constraint("foo_bar_bat", "t1", schema="foo") context.assert_("ALTER TABLE foo.t1 DROP CONSTRAINT foo_bar_bat") def test_create_index(self): context = op_fixture() op.create_index("ik_test", "t1", ["foo", "bar"]) context.assert_("CREATE INDEX ik_test ON t1 (foo, bar)") def test_create_unique_index(self): context = op_fixture() op.create_index("ik_test", "t1", ["foo", "bar"], unique=True) context.assert_("CREATE UNIQUE INDEX ik_test ON t1 (foo, bar)") def test_create_index_quote_flag(self): context = op_fixture() op.create_index("ik_test", "t1", ["foo", "bar"], quote=True) context.assert_('CREATE INDEX "ik_test" ON t1 (foo, bar)') def test_create_index_table_col_event(self): context = op_fixture() op.create_index( "ik_test", "tbl_with_auto_appended_column", ["foo", "bar"] ) context.assert_( "CREATE INDEX ik_test ON tbl_with_auto_appended_column (foo, bar)" ) def test_add_unique_constraint_col_event(self): context = op_fixture() op.create_unique_constraint( "ik_test", "tbl_with_auto_appended_column", ["foo", "bar"] ) context.assert_( "ALTER TABLE tbl_with_auto_appended_column " "ADD CONSTRAINT ik_test UNIQUE (foo, bar)" ) def test_create_index_schema(self): context = op_fixture() op.create_index("ik_test", "t1", ["foo", "bar"], schema="foo") context.assert_("CREATE INDEX ik_test ON foo.t1 (foo, bar)") def test_drop_index(self): context = op_fixture() op.drop_index("ik_test") context.assert_("DROP INDEX ik_test") def test_drop_index_schema(self): context = op_fixture() op.drop_index("ik_test", schema="foo") context.assert_("DROP INDEX foo.ik_test") def test_drop_table(self): context = op_fixture() op.drop_table("tb_test") context.assert_("DROP TABLE tb_test") def test_drop_table_schema(self): context = op_fixture() op.drop_table("tb_test", schema="foo") context.assert_("DROP TABLE foo.tb_test") def test_create_table_selfref(self): context = op_fixture() op.create_table( "some_table", Column("id", Integer, primary_key=True), Column("st_id", Integer, ForeignKey("some_table.id")), ) context.assert_( "CREATE TABLE some_table (" "id INTEGER NOT NULL, " "st_id INTEGER, " "PRIMARY KEY (id), " "FOREIGN KEY(st_id) REFERENCES some_table (id))" ) def test_create_table_fk_and_schema(self): context = op_fixture() t1 = op.create_table( "some_table", Column("id", Integer, primary_key=True), Column("foo_id", Integer, ForeignKey("foo.id")), schema="schema", ) context.assert_( "CREATE TABLE schema.some_table (" "id INTEGER NOT NULL, " "foo_id INTEGER, " "PRIMARY KEY (id), " "FOREIGN KEY(foo_id) REFERENCES foo (id))" ) eq_(t1.c.id.name, "id") eq_(t1.schema, "schema") def test_create_table_no_pk(self): context = op_fixture() t1 = op.create_table( "some_table", Column("x", Integer), Column("y", Integer), Column("z", Integer), ) context.assert_( "CREATE TABLE some_table (x INTEGER, y INTEGER, z INTEGER)" ) assert not t1.primary_key def test_create_table_two_fk(self): context = op_fixture() op.create_table( "some_table", Column("id", Integer, primary_key=True), Column("foo_id", Integer, ForeignKey("foo.id")), Column("foo_bar", Integer, ForeignKey("foo.bar")), ) context.assert_( "CREATE TABLE some_table (" "id INTEGER NOT NULL, " "foo_id INTEGER, " "foo_bar INTEGER, " "PRIMARY KEY (id), " "FOREIGN KEY(foo_id) REFERENCES foo (id), " "FOREIGN KEY(foo_bar) REFERENCES foo (bar))" ) def test_inline_literal(self): context = op_fixture() from sqlalchemy.sql import table, column from sqlalchemy import String, Integer account = table( "account", column("name", String), column("id", Integer) ) op.execute( account.update() .where(account.c.name == op.inline_literal("account 1")) .values({"name": op.inline_literal("account 2")}) ) op.execute( account.update() .where(account.c.id == op.inline_literal(1)) .values({"id": op.inline_literal(2)}) ) context.assert_( "UPDATE account SET name='account 2' " "WHERE account.name = 'account 1'", "UPDATE account SET id=2 WHERE account.id = 1", ) def test_cant_op(self): if hasattr(op, "_proxy"): del op._proxy assert_raises_message( NameError, "Can't invoke function 'inline_literal', as the " "proxy object has not yet been established " "for the Alembic 'Operations' class. " "Try placing this code inside a callable.", op.inline_literal, "asdf", ) def test_naming_changes(self): context = op_fixture() op.alter_column("t", "c", name="x") context.assert_("ALTER TABLE t RENAME c TO x") context = op_fixture() op.alter_column("t", "c", new_column_name="x") context.assert_("ALTER TABLE t RENAME c TO x") context = op_fixture("mysql") op.drop_constraint("f1", "t1", type="foreignkey") context.assert_("ALTER TABLE t1 DROP FOREIGN KEY f1") context = op_fixture("mysql") op.drop_constraint("f1", "t1", type_="foreignkey") context.assert_("ALTER TABLE t1 DROP FOREIGN KEY f1") def test_naming_changes_drop_idx(self): context = op_fixture("mssql") op.drop_index("ik_test", tablename="t1") context.assert_("DROP INDEX ik_test ON t1") @config.requirements.comments def test_create_table_comment_op(self): context = op_fixture() op.create_table_comment("some_table", "table comment") context.assert_("COMMENT ON TABLE some_table IS 'table comment'") @config.requirements.comments def test_drop_table_comment_op(self): context = op_fixture() op.drop_table_comment("some_table") context.assert_("COMMENT ON TABLE some_table IS NULL") class SQLModeOpTest(TestBase): def test_auto_literals(self): context = op_fixture(as_sql=True, literal_binds=True) from sqlalchemy.sql import table, column from sqlalchemy import String, Integer account = table( "account", column("name", String), column("id", Integer) ) op.execute( account.update() .where(account.c.name == op.inline_literal("account 1")) .values({"name": op.inline_literal("account 2")}) ) op.execute(text("update table set foo=:bar").bindparams(bar="bat")) context.assert_( "UPDATE account SET name='account 2' " "WHERE account.name = 'account 1'", "update table set foo='bat'", ) def test_create_table_literal_binds(self): context = op_fixture(as_sql=True, literal_binds=True) op.create_table( "some_table", Column("id", Integer, primary_key=True), Column("st_id", Integer, ForeignKey("some_table.id")), ) context.assert_( "CREATE TABLE some_table (id INTEGER NOT NULL, st_id INTEGER, " "PRIMARY KEY (id), FOREIGN KEY(st_id) REFERENCES some_table (id))" ) class CustomOpTest(TestBase): def test_custom_op(self): from alembic.operations import Operations, MigrateOperation @Operations.register_operation("create_sequence") class CreateSequenceOp(MigrateOperation): """Create a SEQUENCE.""" def __init__(self, sequence_name, **kw): self.sequence_name = sequence_name self.kw = kw @classmethod def create_sequence(cls, operations, sequence_name, **kw): """Issue a "CREATE SEQUENCE" instruction.""" op = CreateSequenceOp(sequence_name, **kw) return operations.invoke(op) @Operations.implementation_for(CreateSequenceOp) def create_sequence(operations, operation): operations.execute("CREATE SEQUENCE %s" % operation.sequence_name) context = op_fixture() op.create_sequence("foob") context.assert_("CREATE SEQUENCE foob") class EnsureOrigObjectFromToTest(TestBase): """the to_XYZ and from_XYZ methods are used heavily in autogenerate. It's critical that these methods, at least the "drop" form, always return the *same* object if available so that all the info passed into to_XYZ is maintained in the from_XYZ. """ def test_drop_index(self): schema_obj = schemaobj.SchemaObjects() idx = schema_obj.index("x", "y", ["z"]) op = ops.DropIndexOp.from_index(idx) is_(op.to_index(), idx) def test_create_index(self): schema_obj = schemaobj.SchemaObjects() idx = schema_obj.index("x", "y", ["z"]) op = ops.CreateIndexOp.from_index(idx) is_(op.to_index(), idx) def test_drop_table(self): schema_obj = schemaobj.SchemaObjects() table = schema_obj.table("x", Column("q", Integer)) op = ops.DropTableOp.from_table(table) is_(op.to_table(), table) def test_create_table(self): schema_obj = schemaobj.SchemaObjects() table = schema_obj.table("x", Column("q", Integer)) op = ops.CreateTableOp.from_table(table) is_(op.to_table(), table) def test_drop_unique_constraint(self): schema_obj = schemaobj.SchemaObjects() const = schema_obj.unique_constraint("x", "foobar", ["a"]) op = ops.DropConstraintOp.from_constraint(const) is_(op.to_constraint(), const) def test_drop_constraint_not_available(self): op = ops.DropConstraintOp("x", "y", type_="unique") assert_raises_message( ValueError, "constraint cannot be produced", op.to_constraint )

34.240976

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0.580648

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0.08581

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35,097

1,024

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0

null

0

1

0

1

0

null

0

4

8a704548eef396f480381eb006560c41ab87c35e

4,868

py

Python

mmtbx/conformation_dependent_library/tst_mcl_02.py

dperl-sol/cctbx_project

b9e390221a2bc4fd00b9122e97c3b79c632c6664

[ "BSD-3-Clause-LBNL" ]

155

2016-11-23T12:52:16.000Z

2022-03-31T15:35:44.000Z

mmtbx/conformation_dependent_library/tst_mcl_02.py

dperl-sol/cctbx_project

b9e390221a2bc4fd00b9122e97c3b79c632c6664

[ "BSD-3-Clause-LBNL" ]

590

2016-12-10T11:31:18.000Z

2022-03-30T23:10:09.000Z

mmtbx/conformation_dependent_library/tst_mcl_02.py

dperl-sol/cctbx_project

b9e390221a2bc4fd00b9122e97c3b79c632c6664

[ "BSD-3-Clause-LBNL" ]

115

2016-11-15T08:17:28.000Z

2022-02-09T15:30:14.000Z

from __future__ import absolute_import, division, print_function import os from libtbx import easy_run pdb_string = ''' CRYST1 589.160 589.160 589.160 90.00 90.00 90.00 P 1 SCALE1 0.001697 0.000000 0.000000 0.00000 SCALE2 0.000000 0.001697 0.000000 0.00000 SCALE3 0.000000 0.000000 0.001697 0.00000 ATOM 1 N CYS L 104 339.804 329.680 261.810 1.00 58.36 N ATOM 2 CA CYS L 104 338.530 329.122 261.395 1.00 60.90 C ATOM 3 C CYS L 104 337.438 329.433 262.396 1.00 63.21 C ATOM 4 O CYS L 104 336.436 330.048 262.048 1.00 65.22 O ATOM 5 CB CYS L 104 338.651 327.620 261.216 1.00 60.57 C ATOM 6 SG CYS L 104 339.341 326.788 262.654 1.00 60.22 S ATOM 7 N CYS L 108 338.113 325.778 267.745 1.00 68.92 N ATOM 8 CA CYS L 108 339.312 325.068 267.300 1.00 64.76 C ATOM 9 C CYS L 108 340.555 325.418 268.121 1.00 66.03 C ATOM 10 O CYS L 108 341.588 324.784 267.939 1.00 66.50 O ATOM 11 CB CYS L 108 339.571 325.286 265.807 1.00 60.82 C ATOM 12 SG CYS L 108 338.793 324.031 264.774 1.00 56.51 S ATOM 13 N CYS L 120 343.196 322.319 267.971 1.00 57.56 N ATOM 14 CA CYS L 120 342.863 321.598 266.735 1.00 57.89 C ATOM 15 C CYS L 120 344.051 321.463 265.784 1.00 59.16 C ATOM 16 O CYS L 120 344.945 322.303 265.759 1.00 57.82 O ATOM 17 CB CYS L 120 341.697 322.250 265.986 1.00 56.77 C ATOM 18 SG CYS L 120 341.374 321.502 264.369 1.00 53.53 S ATOM 19 N ILE L 121 344.035 320.383 265.006 1.00 61.55 N ATOM 20 CA ILE L 121 345.070 320.108 264.011 1.00 62.65 C ATOM 21 C ILE L 121 345.134 321.190 262.946 1.00 61.66 C ATOM 22 O ILE L 121 346.214 321.514 262.462 1.00 61.29 O ATOM 23 CB ILE L 121 344.869 318.724 263.337 1.00 64.79 C ATOM 24 CG1 ILE L 121 346.106 318.329 262.529 1.00 65.49 C ATOM 25 CG2 ILE L 121 343.629 318.694 262.442 1.00 64.60 C ATOM 26 CD1 ILE L 121 346.129 316.868 262.147 1.00 66.90 C ATOM 27 N CYS L 122 343.982 321.748 262.588 1.00 64.24 N ATOM 28 CA CYS L 122 343.921 322.801 261.579 1.00 68.72 C ATOM 29 C CYS L 122 344.962 323.861 261.847 1.00 69.64 C ATOM 30 O CYS L 122 345.597 324.371 260.927 1.00 73.06 O ATOM 31 CB CYS L 122 342.536 323.448 261.549 1.00 70.95 C ATOM 32 SG CYS L 122 342.155 324.561 262.930 1.00 73.02 S ATOM 33 N CYS L 145 338.912 319.344 260.063 1.00 94.97 N ATOM 34 CA CYS L 145 338.541 318.949 261.422 1.00 92.47 C ATOM 35 C CYS L 145 337.032 318.807 261.564 1.00 88.78 C ATOM 36 O CYS L 145 336.270 319.314 260.742 1.00 89.04 O ATOM 37 CB CYS L 145 339.074 319.959 262.435 1.00 93.38 C ATOM 38 SG CYS L 145 338.049 321.426 262.672 1.00 97.07 S ATOM 39 N CYS L 148 334.801 322.398 262.418 1.00 90.56 N ATOM 40 CA CYS L 148 334.536 323.276 261.291 1.00 88.35 C ATOM 41 C CYS L 148 335.420 322.848 260.130 1.00 93.31 C ATOM 42 O CYS L 148 336.536 322.377 260.342 1.00 95.93 O ATOM 43 CB CYS L 148 334.872 324.701 261.685 1.00 84.75 C ATOM 44 SG CYS L 148 336.541 324.858 262.342 1.00 79.52 S ATOM 45 N CYS L 150 338.090 323.242 257.957 1.00 99.57 N ATOM 46 CA CYS L 150 339.243 324.167 257.968 1.00 99.81 C ATOM 47 C CYS L 150 340.562 323.546 257.510 1.00 98.81 C ATOM 48 O CYS L 150 341.485 323.322 258.299 1.00 93.05 O ATOM 49 CB CYS L 150 339.390 324.814 259.342 1.00 97.02 C ATOM 50 SG CYS L 150 339.376 323.663 260.725 1.00 94.12 S TER HETATM 51 ZN ZN L1000 337.686 325.976 263.586 1.00 31.11 Zn HETATM 52 ZN ZN L1001 340.645 325.701 261.809 1.00 38.33 Zn HETATM 53 ZN ZN L1002 340.121 322.858 263.346 1.00 15.24 Zn END ''' def main(): with open('tst_mcl_02.pdb', 'w') as f: f.write(pdb_string) cmd = 'phenix.pdb_interpretation tst_mcl_02.pdb write_geo=1' print (cmd) rc = easy_run.go(cmd) assert os.path.exists('tst_mcl_02.pdb.geo') return rc.return_code if __name__ == '__main__': rc = main() assert not rc print('OK')

60.85

78

0.536154

1,015

4,868

2.544828

0.339901

0.061556

0.02168

0.011614

0.025552

0

0.579661

0.394002

4,868

79

61.620253

0.295932

0

0.710526

0.928102

0.005136

0

0.026316

1

0.013158

false

0

0.039474

0

0.065789

0.039474

0

null

0

1

0

1

0

1

0

null

0

4

8a75ae3dc6e72421c76ca374f39b9f51b3a0e9a8

675

py

Python

closest_string/task/dataset.py

pchlenski/NeuroSEED

6318431dcce22df70948251b103374f4a6e96fff

[ "MIT" ]

39

2021-07-07T08:09:15.000Z

2022-03-13T19:48:48.000Z

closest_string/task/dataset.py

pchlenski/NeuroSEED

6318431dcce22df70948251b103374f4a6e96fff

[ "MIT" ]

1

2022-03-11T01:33:43.000Z

closest_string/task/dataset.py

pchlenski/NeuroSEED

6318431dcce22df70948251b103374f4a6e96fff

[ "MIT" ]

6

2021-11-01T06:05:00.000Z

2022-03-15T13:06:10.000Z

import torch from util.data_handling.data_loader import index_to_one_hot class ReferenceDataset(torch.utils.data.Dataset): def __init__(self, sequences): self.sequences = index_to_one_hot(sequences) def __len__(self): return self.sequences.shape[0] def __getitem__(self, index): return self.sequences[index] class QueryDataset(torch.utils.data.Dataset): def __init__(self, sequences, labels): self.sequences = index_to_one_hot(sequences) self.labels = labels def __len__(self): return self.sequences.shape[0] def __getitem__(self, index): return self.sequences[index], self.labels[index]

27

59

0.708148

86

675

5.151163

0.302326

0.234763

0.162528

0.088036

0.69526

0.537246

0.352144

0

0.003683

0.195556

675

25

60

27

0.812155

0

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0.352941

false

0

0.117647

0.235294

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0

null

1

0

null

0

1

0

1

0

4

8a8a8b9bf09bda663025cedc1cae705aabd3434e

105

py

Python

django_orm/book_authors_proj/book_authors_app/apps.py

gfhuertac/coding_dojo_python

4d17bb63fb2b9669216a0f60326d4a4b9055af7e

[ "MIT" ]

null

django_orm/book_authors_proj/book_authors_app/apps.py

gfhuertac/coding_dojo_python

4d17bb63fb2b9669216a0f60326d4a4b9055af7e

[ "MIT" ]

6

2020-06-06T01:50:21.000Z

2022-02-10T11:33:02.000Z

django_orm/book_authors_proj/book_authors_app/apps.py

gfhuertac/coding_dojo_python

4d17bb63fb2b9669216a0f60326d4a4b9055af7e

[ "MIT" ]

null

from django.apps import AppConfig class BookAuthorsAppConfig(AppConfig): name = 'book_authors_app'

17.5

38

0.790476

12

105

6.75

0.916667

0

0.142857

105

5

39

21

0.9

0

0.152381

0

1

0

false

0

0.333333

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

8a9483239631094d20459d7eafed17b98a084522

125

py

Python

music/test.py

stef0296/stagelightcontrol

d54d58b07b79663ad5872ce82293d155c1a10fcc

[ "BSD-2-Clause" ]

null

music/test.py

stef0296/stagelightcontrol

d54d58b07b79663ad5872ce82293d155c1a10fcc

[ "BSD-2-Clause" ]

null

music/test.py

stef0296/stagelightcontrol

d54d58b07b79663ad5872ce82293d155c1a10fcc

[ "BSD-2-Clause" ]

null

import eyeD3 tag = eyeD3.Tag() tag.link("/some/file.mp3") print(tag.getArtist()) print(tag.getAlbum()) print(tag.getTitle())

17.857143

26

0.712

19

125

4.684211

0.578947

0.269663

0

0.025862

0.072

125

6

27

20.833333

0.741379

0

0.112

0

1

0

false

0

0.166667

0

0.166667

0.5

1

0

null

1

0

1

0

null

0

1

0

4

8a9e2812fee9375e9d9bae18e1e1d756c32cf6cd

71

py

Python

Configs/m5/objects/Process.py

hplp/PiMulator

498cbe0b1e176c7d1cc2721f20d7bc0f193a3e3b

[ "BSD-2-Clause" ]

null

Configs/m5/objects/Process.py

hplp/PiMulator

498cbe0b1e176c7d1cc2721f20d7bc0f193a3e3b

[ "BSD-2-Clause" ]

null

Configs/m5/objects/Process.py

hplp/PiMulator

498cbe0b1e176c7d1cc2721f20d7bc0f193a3e3b

[ "BSD-2-Clause" ]

null

class Process(): def __init__(self): self.cmd = []

17.75

23

0.478873

7

71

4.285714

0.857143

0

0.380282

71

4

24

17.75

0.681818

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8aa4fe750986ea4e72ce1b9013c90d894c36217d

404

py

Python

ldapom/error.py

f1ori/ldapom

eccfe25dfc8b6e9faa37cf3b72d4c7d757ded970

[ "MIT" ]

2

2015-03-27T13:45:51.000Z

2017-06-25T10:27:18.000Z

ldapom/error.py

leonhandreke/ldapom

c54e0173123be96fa5179ef7b4aa7ad943185c3c

[ "MIT" ]

null

ldapom/error.py

leonhandreke/ldapom

c54e0173123be96fa5179ef7b4aa7ad943185c3c

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from __future__ import print_function class LDAPomError(Exception): pass class LDAPError(LDAPomError): pass class LDAPNoSuchObjectError(LDAPError): pass class LDAPInvalidCredentialsError(LDAPError): pass class LDAPServerDownError(LDAPError): pass class LDAPAttributeNameNotFoundError(LDAPomError): pass

13.931034

50

0.764851

37

404

8.081081

0.513514

0.150502

0.180602

0

0.002976

0.168317

404

28

51

14.428571

0.886905

0.05198

0

0.428571

0

1

0

true

0.428571

0.142857

0

0.571429

0.071429

0

null

0

1

0

null

0

1

0

1

0

4

8aafda6ac2a3b88bea76a98d16e1b8973ed6339f

54

py

Python

src/__init__.py

jackyyf/paste.py

f101fbba3e942a916e5ce99b8f02c85129271f2a

[ "MIT" ]

3

2015-03-04T06:11:26.000Z

2015-04-19T00:19:46.000Z

src/__init__.py

jackyyf/paste.py

f101fbba3e942a916e5ce99b8f02c85129271f2a

[ "MIT" ]

3

2015-03-29T12:05:38.000Z

2015-08-18T04:43:25.000Z

src/__init__.py

jackyyf/paste.py

f101fbba3e942a916e5ce99b8f02c85129271f2a

[ "MIT" ]

null

if __name__ == '__main__': import paste paste.run()

13.5

26

0.685185

7

54

4.142857

0.857143

0

0.166667

54

4

27

13.5

0.644444

0

0.148148

0

1

0

true

0

0.333333

0

0.333333

0

1

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null

0

1

0

null

0

1

0

1

0

4

76d8a006f47713d5f41d1220105d691ca7526cb3

17,679

py

Python

sportsreference/nfl/constants.py

AidanGlickman/sportsreference

2129b83553e37c42f847e2f2bfbfa7287212bc5f

[ "MIT" ]

1

2020-03-08T20:17:39.000Z

sportsreference/nfl/constants.py

AidanGlickman/sportsreference

2129b83553e37c42f847e2f2bfbfa7287212bc5f

[ "MIT" ]

null

sportsreference/nfl/constants.py

AidanGlickman/sportsreference

2129b83553e37c42f847e2f2bfbfa7287212bc5f

[ "MIT" ]

null

PARSING_SCHEME = { 'name': 'a', 'games_played': 'td[data-stat="g"]:first', 'wins': 'td[data-stat="wins"]:first', 'losses': 'td[data-stat="losses"]:first', 'win_percentage': 'td[data-stat="win_loss_perc"]:first', 'points_for': 'td[data-stat="points"]:first', 'points_against': 'td[data-stat="points_opp"]:first', 'points_difference': 'td[data-stat="points_diff"]:first', 'margin_of_victory': 'td[data-stat="mov"]:first', 'strength_of_schedule': 'td[data-stat="sos_total"]:first', 'simple_rating_system': 'td[data-stat="srs_total"]:first', 'offensive_simple_rating_system': 'td[data-stat="srs_offense"]:first', 'defensive_simple_rating_system': 'td[data-stat="srs_defense"]:first', 'yards': 'td[data-stat="total_yards"]:first', 'plays': 'td[data-stat="plays_offense"]:first', 'yards_per_play': 'td[data-stat="yds_per_play_offense"]:first', 'turnovers': 'td[data-stat="turnovers"]:first', 'fumbles': 'td[data-stat="fumbles_lost"]:first', 'first_downs': 'td[data-stat="first_down"]:first', 'pass_completions': 'td[data-stat="pass_cmp"]:first', 'pass_attempts': 'td[data-stat="pass_att"]:first', 'pass_yards': 'td[data-stat="pass_yds"]:first', 'pass_touchdowns': 'td[data-stat="pass_td"]:first', 'interceptions': 'td[data-stat="pass_int"]:first', 'pass_net_yards_per_attempt': 'td[data-stat="pass_net_yds_per_att"]:first', 'pass_first_downs': 'td[data-stat="pass_fd"]:first', 'rush_attempts': 'td[data-stat="rush_att"]:first', 'rush_yards': 'td[data-stat="rush_yds"]:first', 'rush_touchdowns': 'td[data-stat="rush_td"]:first', 'rush_yards_per_attempt': 'td[data-stat="rush_yds_per_att"]:first', 'rush_first_downs': 'td[data-stat="rush_fd"]:first', 'penalties': 'td[data-stat="penalties"]:first', 'yards_from_penalties': 'td[data-stat="penalties_yds"]:first', 'first_downs_from_penalties': 'td[data-stat="pen_fd"]:first', 'percent_drives_with_points': 'td[data-stat="score_pct"]:first', 'percent_drives_with_turnovers': 'td[data-stat="turnover_pct"]:first', 'points_contributed_by_offense': 'td[data-stat="exp_pts_tot"]:first' } SCHEDULE_SCHEME = { 'week': 'th[data-stat="week_num"]:first', 'day': 'td[data-stat="game_day_of_week"]:first', 'date': 'td[data-stat="game_date"]:first', 'result': 'td[data-stat="game_outcome"]:first', 'overtime': 'td[data-stat="overtime"]:first', 'location': 'td[data-stat="game_location"]:first', 'opponent_name': 'td[data-stat="opp"]:first', 'points_scored': 'td[data-stat="pts_off"]:first', 'points_allowed': 'td[data-stat="pts_def"]:first', 'pass_completions': 'td[data-stat="pass_cmp"]:first', 'pass_attempts': 'td[data-stat="pass_att"]:first', 'pass_yards': 'td[data-stat="pass_yds"]:first', 'pass_touchdowns': 'td[data-stat="pass_td"]:first', 'interceptions': 'td[data-stat="pass_int"]:first', 'times_sacked': 'td[data-stat="pass_sacked"]:first', 'yards_lost_from_sacks': 'td[data-stat="pass_sacked_yds"]:first', 'pass_yards_per_attempt': 'td[data-stat="pass_yds_per_att"]:first', 'pass_completion_rate': 'td[data-stat="pass_cmp_perc"]:first', 'quarterback_rating': 'td[data-stat="pass_rating"]:first', 'rush_attempts': 'td[data-stat="rush_att"]:first', 'rush_yards': 'td[data-stat="rush_yds"]:first', 'rush_yards_per_attempt': 'td[data-stat="rush_yds_per_att"]:first', 'rush_touchdowns': 'td[data-stat="rush_td"]:first', 'field_goals_made': 'td[data-stat="fgm"]:first', 'field_goals_attempted': 'td[data-stat="fga"]:first', 'extra_points_made': 'td[data-stat="xpm"]:first', 'extra_points_attempted': 'td[data-stat="xpa"]:first', 'punts': 'td[data-stat="punt"]:first', 'punt_yards': 'td[data-stat="punt_yds"]:first', 'third_down_conversions': 'td[data-stat="third_down_success"]:first', 'third_down_attempts': 'td[data-stat="third_down_att"]:first', 'fourth_down_conversions': 'td[data-stat="fourth_down_success"]:first', 'fourth_down_attempts': 'td[data-stat="fourth_down_att"]:first', 'time_of_possession': 'td[data-stat="time_of_poss"]:first' } BOXSCORE_SCHEME = { 'game_info': 'div[class="scorebox_meta"]:first', 'home_name': 'a[itemprop="name"]:first', 'summary': 'table[class="linescore nohover stats_table no_freeze"]:first', 'away_name': 'a[itemprop="name"]:last', 'away_points': 'div[class="scorebox"] div[class="score"]', 'away_first_downs': 'td[data-stat="vis_stat"]', 'away_rush_attempts': 'td[data-stat="vis_stat"]', 'away_rush_yards': 'td[data-stat="vis_stat"]', 'away_rush_touchdowns': 'td[data-stat="vis_stat"]', 'away_pass_completions': 'td[data-stat="vis_stat"]', 'away_pass_attempts': 'td[data-stat="vis_stat"]', 'away_pass_yards': 'td[data-stat="vis_stat"]', 'away_pass_touchdowns': 'td[data-stat="vis_stat"]', 'away_interceptions': 'td[data-stat="vis_stat"]', 'away_times_sacked': 'td[data-stat="vis_stat"]', 'away_yards_lost_from_sacks': 'td[data-stat="vis_stat"]', 'away_net_pass_yards': 'td[data-stat="vis_stat"]', 'away_total_yards': 'td[data-stat="vis_stat"]', 'away_fumbles': 'td[data-stat="vis_stat"]', 'away_fumbles_lost': 'td[data-stat="vis_stat"]', 'away_turnovers': 'td[data-stat="vis_stat"]', 'away_penalties': 'td[data-stat="vis_stat"]', 'away_yards_from_penalties': 'td[data-stat="vis_stat"]', 'away_third_down_conversions': 'td[data-stat="vis_stat"]', 'away_third_down_attempts': 'td[data-stat="vis_stat"]', 'away_fourth_down_conversions': 'td[data-stat="vis_stat"]', 'away_fourth_down_attempts': 'td[data-stat="vis_stat"]', 'away_time_of_possession': 'td[data-stat="vis_stat"]', 'home_points': 'div[class="scorebox"] div[class="score"]', 'home_first_downs': 'td[data-stat="home_stat"]', 'home_rush_attempts': 'td[data-stat="home_stat"]', 'home_rush_yards': 'td[data-stat="home_stat"]', 'home_rush_touchdowns': 'td[data-stat="home_stat"]', 'home_pass_completions': 'td[data-stat="home_stat"]', 'home_pass_attempts': 'td[data-stat="home_stat"]', 'home_pass_yards': 'td[data-stat="home_stat"]', 'home_pass_touchdowns': 'td[data-stat="home_stat"]', 'home_interceptions': 'td[data-stat="home_stat"]', 'home_times_sacked': 'td[data-stat="home_stat"]', 'home_yards_lost_from_sacks': 'td[data-stat="home_stat"]', 'home_net_pass_yards': 'td[data-stat="home_stat"]', 'home_total_yards': 'td[data-stat="home_stat"]', 'home_fumbles': 'td[data-stat="home_stat"]', 'home_fumbles_lost': 'td[data-stat="home_stat"]', 'home_turnovers': 'td[data-stat="home_stat"]', 'home_penalties': 'td[data-stat="home_stat"]', 'home_yards_from_penalties': 'td[data-stat="home_stat"]', 'home_third_down_conversions': 'td[data-stat="home_stat"]', 'home_third_down_attempts': 'td[data-stat="home_stat"]', 'home_fourth_down_conversions': 'td[data-stat="home_stat"]', 'home_fourth_down_attempts': 'td[data-stat="home_stat"]', 'home_time_of_possession': 'td[data-stat="home_stat"]' } BOXSCORE_ELEMENT_INDEX = { 'date': 0, 'time': 1, 'stadium': 2, 'attendance': 3, 'duration': 4, 'away_points': 1, 'away_first_downs': 0, 'away_rush_attempts': 1, 'away_rush_yards': 1, 'away_rush_touchdowns': 1, 'away_pass_completions': 2, 'away_pass_attempts': 2, 'away_pass_yards': 2, 'away_pass_touchdowns': 2, 'away_interceptions': 2, 'away_times_sacked': 3, 'away_yards_lost_from_sacks': 3, 'away_net_pass_yards': 4, 'away_total_yards': 5, 'away_fumbles': 6, 'away_fumbles_lost': 6, 'away_turnovers': 7, 'away_penalties': 8, 'away_yards_from_penalties': 8, 'away_third_down_conversions': 9, 'away_third_down_attempts': 9, 'away_fourth_down_conversions': 10, 'away_fourth_down_attempts': 10, 'away_time_of_possession': 11, 'home_points': 0, 'home_first_downs': 0, 'home_rush_attempts': 1, 'home_rush_yards': 1, 'home_rush_touchdowns': 1, 'home_pass_completions': 2, 'home_pass_attempts': 2, 'home_pass_yards': 2, 'home_pass_touchdowns': 2, 'home_interceptions': 2, 'home_times_sacked': 3, 'home_yards_lost_from_sacks': 3, 'home_net_pass_yards': 4, 'home_total_yards': 5, 'home_fumbles': 6, 'home_fumbles_lost': 6, 'home_turnovers': 7, 'home_penalties': 8, 'home_yards_from_penalties': 8, 'home_third_down_conversions': 9, 'home_third_down_attempts': 9, 'home_fourth_down_conversions': 10, 'home_fourth_down_attempts': 10, 'home_time_of_possession': 11 } # Designates the index of the item within the requested tag BOXSCORE_ELEMENT_SUB_INDEX = { 'away_rush_attempts': 0, 'away_rush_yards': 1, 'away_rush_touchdowns': 2, 'away_pass_completions': 0, 'away_pass_attempts': 1, 'away_pass_yards': 2, 'away_pass_touchdowns': 3, 'away_interceptions': 4, 'away_times_sacked': 0, 'away_yards_lost_from_sacks': 1, 'away_fumbles': 0, 'away_fumbles_lost': 1, 'away_penalties': 0, 'away_yards_from_penalties': 1, 'away_third_down_conversions': 0, 'away_third_down_attempts': 1, 'away_fourth_down_conversions': 0, 'away_fourth_down_attempts': 1, 'home_rush_attempts': 0, 'home_rush_yards': 1, 'home_rush_touchdowns': 2, 'home_pass_completions': 0, 'home_pass_attempts': 1, 'home_pass_yards': 2, 'home_pass_touchdowns': 3, 'home_interceptions': 4, 'home_times_sacked': 0, 'home_yards_lost_from_sacks': 1, 'home_fumbles': 0, 'home_fumbles_lost': 1, 'home_penalties': 0, 'home_yards_from_penalties': 1, 'home_third_down_conversions': 0, 'home_third_down_attempts': 1, 'home_fourth_down_conversions': 0, 'home_fourth_down_attempts': 1, } PLAYER_SCHEME = { 'season': 'th[data-stat="year_id"]', 'name': 'h1[itemprop="name"]', 'team_abbreviation': 'td[data-stat="team"]', 'position': 'td[data-stat="pos"]', 'height': 'span[itemprop="height"]', 'weight': 'span[itemprop="weight"]', 'birth_date': 'td[data-stat=""]', 'contract': 'td[data-stat=""]', 'games': 'td[data-stat="g"]', 'games_started': 'td[data-stat="gs"]', 'approximate_value': 'td[data-stat="av"]', 'qb_record': 'td[data-stat="qb_rec"]', 'completed_passes': 'td[data-stat="pass_cmp"]', 'attempted_passes': 'td[data-stat="pass_att"]', 'passing_completion': 'td[data-stat="pass_cmp_perc"]', 'passing_yards': 'td[data-stat="pass_yds"]', 'passing_touchdowns': 'td[data-stat="pass_td"]', 'passing_touchdown_percentage': 'td[data-stat="pass_td_perc"]', 'interceptions_thrown': 'td[data-stat="pass_int"]', 'interception_percentage': 'td[data-stat="pass_int_perc"]', 'longest_pass': 'td[data-stat="pass_long"]', 'passing_yards_per_attempt': 'td[data-stat="pass_yds_per_att"]', 'adjusted_yards_per_attempt': 'td[data-stat="pass_adj_yds_per_att"]', 'yards_per_completed_pass': 'td[data-stat="pass_yds_per_cmp"]', 'yards_per_game_played': 'td[data-stat="pass_yds_per_g"]', 'quarterback_rating': 'td[data-stat="pass_rating"]', 'espn_qbr': 'td[data-stat="qbr"]', 'times_sacked': 'td[data-stat="pass_sacked"]', 'yards_lost_to_sacks': 'td[data-stat="pass_sacked_yds"]', 'net_yards_per_pass_attempt': 'td[data-stat="pass_net_yds_per_att"]', 'adjusted_net_yards_per_pass_attempt': 'td[data-stat="pass_adj_net_yds_per_att"]', 'sack_percentage': 'td[data-stat="pass_sacked_per"]', 'fourth_quarter_comebacks': 'td[data-stat="comebacks"]', 'game_winning_drives': 'td[data-stat="gwd"]', 'yards_per_attempt_index': 'td[data-stat="pass_yds_per_att_index"]', 'net_yards_per_attempt_index': 'td[data-stat="pass_net_yds_per_att_index"]', 'adjusted_yards_per_attempt_index': 'td[data-stat="pass_adj_yds_per_att_index"]', 'adjusted_net_yards_per_attempt_index': 'td[data-stat="pass_adj_net_yds_per_att_index"]', 'completion_percentage_index': 'td[data-stat="pass_cmp_perc_index"]', 'touchdown_percentage_index': 'td[data-stat="pass_td_perc_index"]', 'interception_percentage_index': 'td[data-stat="pass_int_perc_index"]', 'sack_percentage_index': 'td[data-stat="pass_sacked_perc_index"]', 'passer_rating_index': 'td[data-stat="pass_rating_index"]', 'rush_attempts': 'td[data-stat="rush_att"]', 'rush_yards': 'td[data-stat="rush_yds"]', 'rush_touchdowns': 'td[data-stat="rush_td"]', 'longest_rush': 'td[data-stat="rush_long"]', 'rush_yards_per_attempt': 'td[data-stat="rush_yds_per_att"]', 'rush_yards_per_game': 'td[data-stat="rush_yds_per_g"]', 'rush_attempts_per_game': 'td[data-stat="rush_att_per_g"]', 'times_pass_target': 'td[data-stat="targets"]', 'receptions': 'td[data-stat="rec"]', 'receiving_yards': 'td[data-stat="rec_yds"]', 'receiving_yards_per_reception': 'td[data-stat="rec_yds_per_rec"]', 'receiving_touchdowns': 'td[data-stat="rec_td"]', 'longest_reception': 'td[data-stat="rec_long"]', 'receptions_per_game': 'td[data-stat="rec_per_g"]', 'receiving_yards_per_game': 'td[data-stat="rec_yds_per_g"]', 'catch_percentage': 'td[data-stat="catch_pct"]', 'touches': 'td[data-stat="touches"]', 'yards_per_touch': 'td[data-stat="yds_per_touch"]', 'yards_from_scrimmage': 'td[data-stat="yds_from_scrimmage"]', 'rushing_and_receiving_touchdowns': 'td[data-stat="rush_receive_td"]', 'fumbles': 'td[data-stat="fumbles"]', 'punt_returns': 'td[data-stat="punt_ret"]', 'punt_return_yards': 'td[data-stat="punt_ret_yds"]', 'punt_return_touchdown': 'td[data-stat="punt_ret_td"]', 'longest_punt_return': 'td[data-stat="punt_ret_long"]', 'yards_per_punt_return': 'td[data-stat="punt_ret_yds_per_ret"]', 'kickoff_returns': 'td[data-stat="kick_ret"]', 'kickoff_return_yards': 'td[data-stat="kick_ret_yds"]', 'kickoff_return_touchdown': 'td[data-stat="kick_ret_td"]', 'longest_kickoff_return': 'td[data-stat="kick_ret_long"]', 'yards_per_kickoff_return': 'td[data-stat="kick_ret_yds_per_ret"]', 'all_purpose_yards': 'td[data-stat="all_purpose_yds"]', 'less_than_nineteen_yards_field_goal_attempts': 'td[data-stat="fga1"]', 'less_than_nineteen_yards_field_goals_made': 'td[data-stat="fgm1"]', 'twenty_to_twenty_nine_yard_field_goal_attempts': 'td[data-stat="fga2"]', 'twenty_to_twenty_nine_yard_field_goals_made': 'td[data-stat="fgm2"]', 'thirty_to_thirty_nine_yard_field_goal_attempts': 'td[data-stat="fga3"]', 'thirty_to_thirty_nine_yard_field_goals_made': 'td[data-stat="fgm3"]', 'fourty_to_fourty_nine_yard_field_goal_attempts': 'td[data-stat="fga4"]', 'fourty_to_fourty_nine_yard_field_goals_made': 'td[data-stat="fgm4"]', 'fifty_plus_yard_field_goal_attempts': 'td[data-stat="fga5"]', 'fifty_plus_yard_field_goals_made': 'td[data-stat="fgm5"]', 'field_goals_attempted': 'td[data-stat="fga"]', 'field_goals_made': 'td[data-stat="fgm"]', 'longest_field_goal_made': 'td[data-stat="fg_long"]', 'field_goal_percentage': 'td[data-stat="fg_perc"]', 'extra_points_attempted': 'td[data-stat="xpa"]', 'extra_points_made': 'td[data-stat="xpm"]', 'extra_point_percentage': 'td[data-stat="xp_perc"]', 'punts': 'td[data-stat="punt"]', 'total_punt_yards': 'td[data-stat="punt_yds"]', 'longest_punt': 'td[data-stat="punt_long"]', 'blocked_punts': 'td[data-stat="punt_blocked"]', 'yards_per_punt': 'td[data-stat="punt_yds_per_punt"]', 'interceptions': 'td[data-stat="def_int"]', 'yards_returned_from_interception': 'td[data-stat="def_int_yds"]', 'interceptions_returned_for_touchdown': 'td[data-stat="def_int_td"]', 'longest_interception_return': 'td[data-stat="def_int_long"]', 'passes_defended': 'td[data-stat="pass_defended"]', 'fumbles_forced': 'td[data-stat="fumbles_forced"]', 'fumbles_recovered': 'td[data-stat="fumbles_rec"]', 'yards_recovered_from_fumble': 'td[data-stat="fumbles_rec_yds"]', 'fumbles_recovered_for_touchdown': 'td[data-stat="fumbles_rec_yds"]', 'sacks': 'td[data-stat="sacks"]', 'tackles': 'td[data-stat="tackles_solo"]', 'assists_on_tackles': 'td[data-stat="tackles_assists"]', 'safeties': 'td[data-stat="safety_md"]', 'yards_lost_from_sacks': 'td[data-stat="pass_sacked_yds"]', 'fumbles_lost': 'td[data-stat="fumbles_lost"]', 'combined_tackles': 'td[data-stat="tackles_combined"]', 'solo_tackles': 'td[data-stat="tackles_solo"]', 'tackles_for_loss': 'td[data-stat="tackles_loss"]', 'quarterback_hits': 'td[data-stat="qb_hits"]', 'average_kickoff_return_yards': 'td[data-stat="kick_ret_yds_per_ret"]', 'kickoff_return_touchdowns': 'td[data-stat="kick_ret_td"]', 'average_punt_return_yards': 'td[data-stat="punt_ret_yds_per_ret"]', 'punt_return_touchdowns': 'td[data-stat="punt_ret_td"]' } SEASON_PAGE_URL = 'http://www.pro-football-reference.com/years/%s/' SCHEDULE_URL = 'https://www.pro-football-reference.com/teams/%s/%s/gamelog/' BOXSCORE_URL = 'https://www.pro-football-reference.com/boxscores/%s.htm' BOXSCORES_URL = 'https://www.pro-football-reference.com/years/%s/week_%s.htm' PLAYER_URL = 'https://www.pro-football-reference.com/players/%s/%s.htm' ROSTER_URL = 'https://www.pro-football-reference.com/teams/%s/%s_roster.htm' WILD_CARD = 100 DIVISION = 101 CONF_CHAMPIONSHIP = 102 SUPER_BOWL = 103 LOST_WILD_CARD = 'Lost WC' LOST_DIVISIONAL = 'Lost Divisional' LOST_CONF_CHAMPS = 'Lost Conference Championship' LOST_SUPER_BOWL = 'Lost Super Bowl' WON_SUPER_BOWL = 'Won Super Bowl'

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false

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