xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

d88d31ef6681884bf0fcd8335d6ce3822f6d4332

121

py

Python

sites_and_links/admin.py

DrSn2/Simple-Site-Monitor

94eb46180d3f572e3a5fdb7d4c61da3b56d5f1cd

[ "MIT" ]

null

sites_and_links/admin.py

DrSn2/Simple-Site-Monitor

94eb46180d3f572e3a5fdb7d4c61da3b56d5f1cd

[ "MIT" ]

null

sites_and_links/admin.py

DrSn2/Simple-Site-Monitor

94eb46180d3f572e3a5fdb7d4c61da3b56d5f1cd

[ "MIT" ]

1

2018-08-10T08:48:32.000Z

from django.contrib import admin from .models import Domain, Link admin.site.register(Domain) admin.site.register(Link)

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null

0

1

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5

d8a52367122aa5b4affa745658f9acd0e929067f

1,385

py

Python

presqt/targets/figshare/utilities/get_figshare_project_data.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

3

2019-01-29T19:45:25.000Z

2020-12-01T18:24:51.000Z

presqt/targets/figshare/utilities/get_figshare_project_data.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

419

2018-09-13T23:11:15.000Z

2021-09-22T17:49:00.000Z

presqt/targets/figshare/utilities/get_figshare_project_data.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

2

2020-04-10T08:19:41.000Z

2021-01-04T15:29:42.000Z

import requests from presqt.utilities import update_process_info, increment_process_info def get_figshare_project_data(initial_data, headers, resources): """ Get all top level figshare projects. Parameters ---------- initial_data: list List of all top level projects headers: dict The authorization header that Figshare expects resources: list A list of resources to append to Returns ------- A list of resources. """ for project in initial_data: resources.append({ "kind": "container", "kind_name": "project", "container": None, "id": project['id'], "title": project['title'] }) return resources def get_search_project_data(initial_data, headers, resources): """ Get all top level figshare projects with search query. Parameters ---------- initial_data: list List of all top level projects headers: dict The authorization header that Figshare expects resources: list A list of resources to append to Returns ------- A list of resources. """ resources.append({ "kind": "container", "kind_name": "project", "container": None, "id": initial_data['id'], "title": initial_data['title'] }) return resources

22.704918

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0.285714

0

null

0

1

0

null

0

5

d8d4ead9eaf07e51a9128562b744685e5c304ded

101

py

Python

nilmlab/lab_exceptions.py

ChristoferNal/multi-nilm

0ec1d1a834b04da121963bf82eb0f540d76a8409

[ "MIT" ]

32

2020-04-29T07:03:08.000Z

2021-12-21T02:24:43.000Z

nilmlab/lab_exceptions.py

qiu-2020/multi-nilm

0ec1d1a834b04da121963bf82eb0f540d76a8409

[ "MIT" ]

3

2020-10-23T07:26:42.000Z

2021-09-30T11:07:10.000Z

nilmlab/lab_exceptions.py

qiu-2020/multi-nilm

0ec1d1a834b04da121963bf82eb0f540d76a8409

[ "MIT" ]

10

2020-05-31T02:02:32.000Z

2022-02-10T01:42:37.000Z

class NoSiteMeterException(Exception): pass class LabelNormalizationError(Exception): pass

14.428571

41

0.782178

8

101

9.875

0.625

0.329114

0

0.158416

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42

16.833333

0.929412

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0

null

0

1

0

5

d8dbeab86e45f031ff02960fa81ebcbf291d3c4f

135

py

Python

src/autorun_test.py

vt-sailbot/sailbot-18

55b4c4c18f24ff0e7476a7aedea6089fd78c6a99

[ "MIT" ]

1

2018-09-07T16:47:20.000Z

src/autorun_test.py

vt-sailbot/sailbot-18

55b4c4c18f24ff0e7476a7aedea6089fd78c6a99

[ "MIT" ]

null

src/autorun_test.py

vt-sailbot/sailbot-18

55b4c4c18f24ff0e7476a7aedea6089fd78c6a99

[ "MIT" ]

null

""" This is called in delayed_main but it doesn't appear to be used """ from subprocess import call call(["mkdir", "autogenerated"])

16.875

63

0.718519

21

135

4.571429

0.952381

0

0.162963

135

7

64

19.285714

0.849558

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1

0

true

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0.5

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0.5

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null

0

1

0

1

0

null

0

1

0

1

0

5

d8e625047beaddf958e82c6c355c180a6215101e

208

py

Python

tests/checkio/elementary/test_digits_multiplication.py

zoido/checkio_python_solutions

858cc7eafbbf55c8506e14cce260d17406fbf09c

[ "MIT" ]

null

tests/checkio/elementary/test_digits_multiplication.py

zoido/checkio_python_solutions

858cc7eafbbf55c8506e14cce260d17406fbf09c

[ "MIT" ]

2

2017-10-14T17:44:17.000Z

2018-04-06T18:53:37.000Z

tests/checkio/elementary/test_digits_multiplication.py

zoido/checkio_python_solutions

858cc7eafbbf55c8506e14cce260d17406fbf09c

[ "MIT" ]

null

from checkio.elementary.digits_multiplication import checkio def test_checkio(): assert checkio(123405) == 120 assert checkio(999) == 729 assert checkio(1000) == 1 assert checkio(1111) == 1

23.111111

60

0.706731

26

208

5.576923

0.615385

0.358621

0

0.14881

0.192308

208

8

61

26

0.714286

0

0.666667

1

0.166667

true

0

0.166667

0

0.333333

0

1

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null

1

0

1

0

null

0

1

0

1

0

5

2b03fedad1fdb30671072f3ca2e5d3026a592bce

313

py

Python

ConfigFiles/NeuropsychDataFolder.py

NCMlab/CognitiveTasks

cd613990f59aac2c6c8f9b553ecb178124bfe171

[ "MIT" ]

5

2019-06-20T03:27:55.000Z

2022-03-06T07:31:36.000Z

ConfigFiles/NeuropsychDataFolder.py

NCMlab/CognitiveTasks

cd613990f59aac2c6c8f9b553ecb178124bfe171

[ "MIT" ]

9

2018-10-23T02:11:00.000Z

2019-07-03T15:29:07.000Z

ConfigFiles/NeuropsychDataFolder.py

NCMlab/CognitiveTasks

cd613990f59aac2c6c8f9b553ecb178124bfe171

[ "MIT" ]

2

2020-08-24T13:55:57.000Z

2022-03-06T07:31:40.000Z

# NeuropsychDataFolder = '/Volumes/GoogleDrive/Shared drives/NCMLab/NCM002-MRIStudy/Data/NeuroPsych' #NeuropsychDataFolder = '/media/jsteffen/Data001/NCMTeamDrive/NCMLab/NCM002-MRIStudy/Data/NeuroPsych' NeuropsychDataFolder = '/media/jsteffener/Data001/NCMLab/TeamDrive/NCMLab/NCM002-MRIStudy/Data/NeuroPsych'

44.714286

106

0.833866

31

313

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0.582375

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0.044728

313

6

107

52.166667

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false

0

null

0

1

0

1

0

1

null

0

5

2b5cd78c39807731f42336cedfa5d86c34633584

171

py

Python

aiounittest/__init__.py

kwarunek/aiounittest

682a6913d8307e4f1ca5900cb7b3d5fe96b79834

[ "MIT" ]

55

2017-08-18T10:24:05.000Z

2022-03-21T08:29:19.000Z

aiounittest/__init__.py

kwarunek/aiounittest

682a6913d8307e4f1ca5900cb7b3d5fe96b79834

[ "MIT" ]

15

2017-09-22T13:14:43.000Z

2022-01-23T16:29:22.000Z

aiounittest/__init__.py

kwarunek/aiounittest

682a6913d8307e4f1ca5900cb7b3d5fe96b79834

[ "MIT" ]

4

2019-11-26T18:08:43.000Z

2021-06-01T22:12:00.000Z

from .case import AsyncTestCase from .helpers import futurized, run_sync, async_test __all__ = [ "AsyncTestCase", "futurized", "run_sync", "async_test" ]

17.1

52

0.690058

19

171

5.789474

0.578947

0.218182

0.290909

0.381818

0.454545

0

0.204678

171

9

53

19

0.808824

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0

1

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false

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0.25

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0.25

0

1

0

null

1

0

1

0

null

0

5

41e2b7e80925535b9faef70cc366a074dbfffc9e

3,122

py

Python

tests/test_btc.py

uilyam/coinbase-pricing-python

71d81454b2ed6e5d0cb63f33ce39443b5926d935

[ "MIT" ]

null

tests/test_btc.py

uilyam/coinbase-pricing-python

71d81454b2ed6e5d0cb63f33ce39443b5926d935

[ "MIT" ]

null

tests/test_btc.py

uilyam/coinbase-pricing-python

71d81454b2ed6e5d0cb63f33ce39443b5926d935

[ "MIT" ]

null

import unittest from unittest.mock import patch from cbp.btc import get_btc_buy, get_btc_sell, get_btc_spot, get_btc from cbp.constants import CURRENCY_BTC, EXCHANGE_RATE_USD, PRICE_BUY, PRICE_SELL, PRICE_SPOT class TestBTC(unittest.TestCase): """Unit tests for cbp.btc.py""" def test_get_btc_exists(self): """Test that the get_btc function exists/""" self.assertIsNotNone(get_btc) @patch('cbp.btc.get_price') def test_get_btc_calls_get_price(self, get_price_patch): """Test get_btc calls get_price with the parameters it is called with plus BTC.""" get_btc(EXCHANGE_RATE_USD, PRICE_BUY) get_price_patch.assert_called_with(EXCHANGE_RATE_USD, PRICE_BUY, CURRENCY_BTC) @patch('cbp.btc.get_price') def test_get_btc_calls_returns_get_price(self, get_price_patch): """Test get_btc returns the result of get_price.""" get_price_patch.return_value = 70.2 price = get_btc(EXCHANGE_RATE_USD, PRICE_BUY) self.assertEqual(price, 70.2) def test_get_btc_buy_exists(self): """Test that the get_btc_buy function exists.""" self.assertIsNotNone(get_btc_buy) @patch('cbp.btc.get_btc') def test_get_btc_buy_calls_get_btc(self, get_btc_patch): """Test get_btc_buy calls get_btc with correct parameters.""" get_btc_buy(EXCHANGE_RATE_USD) get_btc_patch.assert_called_with(EXCHANGE_RATE_USD, PRICE_BUY) @patch('cbp.btc.get_btc') def test_get_btc_buy_returns_get_btc(self, get_btc_patch): """Test get_btc_buy returns the value of get_btc.""" get_btc_patch.return_value = 70.2 price = get_btc_buy(EXCHANGE_RATE_USD) self.assertEqual(price, 70.2) def test_get_btc_sell_exists(self): """Test that the get_btc_sell function exists.""" self.assertIsNotNone(get_btc_sell) @patch('cbp.btc.get_btc') def test_get_btc_sell_calls_get_btc(self, get_btc_patch): """Test get_btc_sell calls get_btc with correct parameters.""" get_btc_sell(EXCHANGE_RATE_USD) get_btc_patch.assert_called_with(EXCHANGE_RATE_USD, PRICE_SELL) @patch('cbp.btc.get_btc') def test_get_btc_sell_returns_get_btc(self, get_btc_patch): """Test get_btc_sell returns the value of get_btc.""" get_btc_patch.return_value = 70.2 price = get_btc_sell(EXCHANGE_RATE_USD) self.assertEqual(price, 70.2) def test_get_btc_spot_exists(self): """Test that the get_btc_spot function exists.""" self.assertIsNotNone(get_btc_spot) @patch('cbp.btc.get_btc') def test_get_btc_spot_calls_get_btc(self, get_btc_patch): """Test get_btc_spot calls get_btc with correct parameters.""" get_btc_spot(EXCHANGE_RATE_USD) get_btc_patch.assert_called_with(EXCHANGE_RATE_USD, PRICE_SPOT) @patch('cbp.btc.get_btc') def test_get_btc_spot_returns_get_btc(self, get_btc_patch): """Test get_btc_spot returns the value of get_btc.""" get_btc_patch.return_value = 70.2 price = get_btc_spot(EXCHANGE_RATE_USD) self.assertEqual(price, 70.2)

41.626667

92

0.71909

491

3,122

4.148676

0.099796

0.206186

0.098184

0.076583

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0.738832

0.660285

0.570938

0.4973

0

0.009471

0.188341

3,122

75

93

41.626667

0.794396

0.202114

0

0.306122

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0.051113

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0.244898

1

0.244898

false

0

0.081633

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0.346939

0

null

1

0

1

0

null

0

1

0

5

510f60de47d3f6ca45d7bcf4e65203de6dc5d67c

22

py

Python

proj/folder3/test3.py

pkreddy/python-sample-vscode-flask-tutorial

50f858e61459080cbcd993ea656013f5b72e8cfe

[ "MIT" ]

null

proj/folder3/test3.py

pkreddy/python-sample-vscode-flask-tutorial

50f858e61459080cbcd993ea656013f5b72e8cfe

[ "MIT" ]

null

proj/folder3/test3.py

pkreddy/python-sample-vscode-flask-tutorial

50f858e61459080cbcd993ea656013f5b72e8cfe

[ "MIT" ]

null

print("fodler2.test3")

22

0.772727

3

22

5.666667

1

0

0.090909

0

22

1

22

0.681818

0

0.565217

0

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true

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null

0

1

0

null

0

1

0

1

0

5

51116240472410571e998a0e1e2d02600d2add2a

67

py

Python

xparse/parser/__init__.py

aiyogi01/xparse

e50f48493ec1835cc79195a8805a74e0d003860f

[ "MIT" ]

null

xparse/parser/__init__.py

aiyogi01/xparse

e50f48493ec1835cc79195a8805a74e0d003860f

[ "MIT" ]

null

xparse/parser/__init__.py

aiyogi01/xparse

e50f48493ec1835cc79195a8805a74e0d003860f

[ "MIT" ]

1

2020-05-08T09:42:23.000Z

from xparse.parser.recursive_descent import RecursiveDescentParser

33.5

66

0.910448

7

67

8.571429

1

0

0.059701

67

1

67

0.952381

0

1

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true

0

1

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1

0

1

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null

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1

0

null

0

1

0

1

0

1

0

5

51136bf87cc0821a322a996e094fa7f3cc7fd940

122

py

Python

reportes/admin.py

SurielRuano/backend-mi-primer-empleo

394849947fc7cda8b7a736e8605ad2c4c66523a9

[ "MIT" ]

null

reportes/admin.py

SurielRuano/backend-mi-primer-empleo

394849947fc7cda8b7a736e8605ad2c4c66523a9

[ "MIT" ]

null

reportes/admin.py

SurielRuano/backend-mi-primer-empleo

394849947fc7cda8b7a736e8605ad2c4c66523a9

[ "MIT" ]

null

from django.contrib import admin from .models import Reportes # Register your models here. admin.site.register(Reportes)

20.333333

32

0.811475

17

122

5.823529

0.647059

0

0.122951

122

6

33

20.333333

0.925234

0.213115

0

1

0

true

0

0.666667

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0.666667

0

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null

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null

0

1

0

1

0

1

0

5

512eecb7649f7bc0709953dd76e9df27ce311df4

86

py

Python

utility/__init__.py

rusty-electron/neural-style-transfer-pytorch

3c721867c2b0fec1360b2dcce0138ca2ad4b26e2

[ "MIT" ]

2

2021-06-29T03:17:39.000Z

2022-02-08T20:51:58.000Z

utility/__init__.py

rusty-electron/neural-style-transfer-pytorch

3c721867c2b0fec1360b2dcce0138ca2ad4b26e2

[ "MIT" ]

null

utility/__init__.py

rusty-electron/neural-style-transfer-pytorch

3c721867c2b0fec1360b2dcce0138ca2ad4b26e2

[ "MIT" ]

null

from .utility import load_and_process_img, deprocess_img, create_timedir, load_config

43

85

0.872093

13

86

5.307692

0.846154

0

0.081395

86

1

86

0.873418

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

514654147432766bdfeb32f77b978fb9532f67a8

205

py

Python

tests/tasks/sodaspark/__init__.py

suryatmodulus/prefect

e4ac9f6aa831140c7fba0397f3e5e0884b1b9e42

[ "Apache-2.0" ]

8,633

2019-03-23T17:51:03.000Z

2022-03-31T22:17:42.000Z

tests/tasks/sodaspark/__init__.py

suryatmodulus/prefect

e4ac9f6aa831140c7fba0397f3e5e0884b1b9e42

[ "Apache-2.0" ]

3,903

2019-03-23T19:11:21.000Z

2022-03-31T23:21:23.000Z

tests/tasks/sodaspark/__init__.py

suryatmodulus/prefect

e4ac9f6aa831140c7fba0397f3e5e0884b1b9e42

[ "Apache-2.0" ]

937

2019-03-23T18:49:44.000Z

2022-03-31T21:45:13.000Z

import pytest pytest.importorskip("sodaspark") try: from sodasql.scan.dialect import SPARK except ImportError: pytest.skip("Intermittent issue with SPARK installation.", allow_module_level=True)

22.777778

87

0.790244

25

205

6.4

0.84

0

0.126829

205

8

88

25.625

0.893855

0

0.253659

0

1

0

true

0

0.666667

0

0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

5abc4edfc1cf6a65ca2a4d30ea461963775017d0

128

py

Python

usergroups/admin.py

strange/django-usergroups

4677fc1546da5610e504de8776ae1d513c0ce274

[ "BSD-3-Clause" ]

2

2015-01-13T18:47:33.000Z

2020-04-23T10:58:37.000Z

usergroups/admin.py

strange/django-usergroups

4677fc1546da5610e504de8776ae1d513c0ce274

[ "BSD-3-Clause" ]

null

usergroups/admin.py

strange/django-usergroups

4677fc1546da5610e504de8776ae1d513c0ce274

[ "BSD-3-Clause" ]

2

2015-01-13T06:01:31.000Z

2020-10-19T14:05:33.000Z

from django.contrib import admin from usergroups.models import UserGroupApplication admin.site.register(UserGroupApplication)

21.333333

50

0.867188

14

128

7.928571

0.714286

0

0.085938

128

5

51

25.6

0.948718

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5acbecfb709b8495948fad46011c1e3dc060cf96

82

py

Python

Python/VEI_06.py

lucsap/APC

344011552dccdf8210d65cee0531460a1a2d6fae

[ "MIT" ]

null

Python/VEI_06.py

lucsap/APC

344011552dccdf8210d65cee0531460a1a2d6fae

[ "MIT" ]

null

Python/VEI_06.py

lucsap/APC

344011552dccdf8210d65cee0531460a1a2d6fae

[ "MIT" ]

null

c = input('') print(c) print(c*2) print(f'{c} {c}') print(f'2{c}') print(f'[{c}]')

13.666667

17

0.512195

18

82

2.333333

0.277778

0.428571

0.333333

0

0.027027

0.097561

82

6

18

13.666667

0.540541

0

0.192771

0

1

0

false

0

0.833333

1

0

null

1

0

1

0

null

0

1

0

5

850015f9cdc41acf6f0f9ef6d7fa6c16db8f31fb

16

py

Python

tests/test_liu.py

ImYJLiu/IRT

9c0ff5cad0ef362d45052a802fe9f8e7604264ee

[ "MIT" ]

4

2019-12-05T07:37:32.000Z

2021-03-12T06:28:12.000Z

tests/test_liu.py

ImYJLiu/IRT

9c0ff5cad0ef362d45052a802fe9f8e7604264ee

[ "MIT" ]

1

2021-11-15T17:49:02.000Z

tests/test_liu.py

ImYJLiu/IRT

9c0ff5cad0ef362d45052a802fe9f8e7604264ee

[ "MIT" ]

null

i=3//5 print(i)

5.333333

8

0.5625

5

16

1.8

0.8

0

0.142857

0.125

16

2

9

8

0.5

0

1

0

false

0

0.5

1

null

0

1

0

null

0

1

0

5

851bc8a9d9c5aa45583385dfc40587c8bb134ef0

1,359

py

Python

tests/integration/test_link_token.py

InspiredMember/plaid-python

8bee5a907e0fd03c406b24a7b62166f86a42ca6b

[ "MIT" ]

null

tests/integration/test_link_token.py

InspiredMember/plaid-python

8bee5a907e0fd03c406b24a7b62166f86a42ca6b

[ "MIT" ]

null

tests/integration/test_link_token.py

InspiredMember/plaid-python

8bee5a907e0fd03c406b24a7b62166f86a42ca6b

[ "MIT" ]

null

import time from tests.integration.util import create_client def test_link_token_create_required(): client = create_client() # build the configs configs = { 'user': { 'client_user_id': str(time.time()), }, 'products': ["auth", "transactions"], 'client_name': "Plaid Test", 'country_codes': ['GB'], 'language': 'en', } # create link token response = client.LinkToken.create(configs) # assert on response assert response['link_token'] is not None assert response['expiration'] is not None def test_link_token_create_optional(): client = create_client() # build the configs configs = { 'user': { 'client_user_id': str(time.time()), }, 'products': ["auth", "transactions"], 'client_name': "Plaid Test", 'country_codes': ['GB'], 'language': 'en', 'webhook': 'https://sample-webhook-uri.com', 'link_customization_name': 'default', 'account_filters': { 'depository': { 'account_subtypes': ['checking', 'savings'], }, }, } # create link token response = client.LinkToken.create(configs) # assert on response assert response['link_token'] is not None assert response['expiration'] is not None

24.709091

60

0.575423

138

1,359

5.485507

0.369565

0.071334

0.047556

0.042272

0.760898

0.702774

0

0.288447

1,359

54

61

25.166667

0.782834

0.080206

0

0.594595

0

0.272727

0.018504

0

0.108108

1

0.054054

false

0

0.054054

0

0.108108

0

null

0

1

0

null

0

5

517420f0ac41873ee50fb3571ce3acb1e03fd15e

106

py

Python

Leetcode/0561. Array Partition I.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

1

2021-07-15T18:40:26.000Z

Leetcode/0561. Array Partition I.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

null

Leetcode/0561. Array Partition I.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

null

class Solution: def arrayPairSum(self, nums: list[int]) -> int: return sum(sorted(nums)[::2])

26.5

51

0.622642

14

106

4.714286

0.857143

0

0.011905

0.207547

106

3

52

35.333333

0.77381

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

51e424241938055cf4e6baebdf15adb89c32213c

478

py

Python

tests/test_query.py

Ultru/ultru-client

b8dae2869804fea166e33d5d4fc05dc6dbc363be

[ "MIT" ]

null

tests/test_query.py

Ultru/ultru-client

b8dae2869804fea166e33d5d4fc05dc6dbc363be

[ "MIT" ]

null

tests/test_query.py

Ultru/ultru-client

b8dae2869804fea166e33d5d4fc05dc6dbc363be

[ "MIT" ]

null

from ultru_client.utils.query import Query from ultru_client.utils.record_types import Types from ultru_client.utils.scores import Scores def test_create_query_just_record_type(): tmp_query = Query(record_type='process') assert tmp_query.body == {'record_type':'process'} def test_create_query_recordtype_and_score(): tmp_query = Query(record_type='process', score='benign') assert tmp_query.body == {'record_type': 'process', 'score_low': 0, 'score_high': 5}

39.833333

88

0.769874

70

478

4.914286

0.371429

0.145349

0.197674

0.174419

0.377907

0.203488

0

0.004717

0.112971

478

12

88

39.833333

0.806604

0

0.156576

0

0.222222

1

0.222222

false

0

0.333333

0

0.555556

0

null

0

1

0

null

0

1

0

1

0

1

0

5

51ec3e9f8957701cd880fb57bc926975fdeb54c0

154

py

Python

server/config.py

jideobs/flask-gae-ndb-starter

776a9ea967524f4a88debb6f00e4d39f15b4e799

[ "MIT" ]

2

2017-08-13T09:20:17.000Z

2017-08-13T18:19:09.000Z

server/config.py

jideobs/flask-gae-ndb-starter

776a9ea967524f4a88debb6f00e4d39f15b4e799

[ "MIT" ]

null

server/config.py

jideobs/flask-gae-ndb-starter

776a9ea967524f4a88debb6f00e4d39f15b4e799

[ "MIT" ]

null

APP_CONFIG = { 'DEBUG': True, 'SECRET_KEY': 'This is supposed to be a secret', 'WTF_CSRF_SECRET_KEY': 'This is supposed to also be a secret' }

30.8

65

0.662338

25

154

3.88

0.6

0.185567

0.268041

0.309278

0.515464

0

0.220779

154

5

66

30.8

0.808333

0

0.651613

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

cf9884e0ba6b6b58af25b4da34e7ad4a5c817130

48

py

Python

lab2/e2.py

daem-uni/dagdim-lab-informatica

9a5c3f829e8372ef994efb28e81a2f7d77c88681

[ "MIT" ]

null

lab2/e2.py

daem-uni/dagdim-lab-informatica

9a5c3f829e8372ef994efb28e81a2f7d77c88681

[ "MIT" ]

null

lab2/e2.py

daem-uni/dagdim-lab-informatica

9a5c3f829e8372ef994efb28e81a2f7d77c88681

[ "MIT" ]

1

2020-12-03T15:17:29.000Z

n = 12345 print(str(n).replace("", "\n")[1:-1])

16

37

0.520833

9

48

2.777778

0.666667

0

0.162791

0.104167

48

3

37

16

0.418605

0

0.040816

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

5

cf9b174980b0e5175af1a4719f8959dd8133ce12

170

py

Python

megumin/__init__.py

davitudoplugins1234/WhiterKang

f4779d2c440849fa97e7014cd856f885b0abbc87

[ "MIT" ]

2

2022-02-01T17:55:44.000Z

2022-03-27T17:21:55.000Z

megumin/__init__.py

davitudoplugins1234/WhiterKang

f4779d2c440849fa97e7014cd856f885b0abbc87

[ "MIT" ]

null

megumin/__init__.py

davitudoplugins1234/WhiterKang

f4779d2c440849fa97e7014cd856f885b0abbc87

[ "MIT" ]

null

21.25

46

0.770588

26

170

4.923077

0.730769

0

0.028169

0.164706

170

7

47

24.285714

0.873239

0.229412

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cfbc8c08c09961247af4c06256abd3d9b316bffd

139

py

Python

1-9/pep_01.py

sayantan3/project-euler

9b856c84a0b174754819ed15f86eb0f30181e94e

[ "MIT" ]

null

1-9/pep_01.py

sayantan3/project-euler

9b856c84a0b174754819ed15f86eb0f30181e94e

[ "MIT" ]

null

1-9/pep_01.py

sayantan3/project-euler

9b856c84a0b174754819ed15f86eb0f30181e94e

[ "MIT" ]

null

#!/usr/bin/env python3 import math print (sum(number for number in range(1000) if not (number % 3 and number % 5))) # Answer: 233168

15.444444

80

0.676259

23

139

4.086957

0.869565

0

0.117117

0.201439

139

8

81

17.375

0.72973

0.258993

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cfd79889051d4d3a986f7c42d3a694a568c1479a

90

py

Python

eco_connect/src/errors.py

ecorithm/eco_connect_public

2c185ffabf09b3f276dca5bb52d3c397e691eabf

[ "MIT" ]

null

eco_connect/src/errors.py

ecorithm/eco_connect_public

2c185ffabf09b3f276dca5bb52d3c397e691eabf

[ "MIT" ]

95

2018-01-30T19:34:48.000Z

2020-02-01T15:45:11.000Z

eco_connect/src/errors.py

ecorithm/eco_connect_public

2c185ffabf09b3f276dca5bb52d3c397e691eabf

[ "MIT" ]

null

class InvalidRequest(Exception): pass class RequestParserError(Exception): pass

12.857143

36

0.755556

8

90

8.5

0.625

0.382353

0

0.177778

90

6

37

15

0.918919

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

5c639e88082c0d57d9ebd95c330e0b6f06ea1a01

162

py

Python

pca/data/dao/__init__.py

daniel-butler/python-clean-architecture

a95da91fffb1120e1e748c9ee7717a622647288e

[ "MIT" ]

null

pca/data/dao/__init__.py

daniel-butler/python-clean-architecture

a95da91fffb1120e1e748c9ee7717a622647288e

[ "MIT" ]

null

pca/data/dao/__init__.py

daniel-butler/python-clean-architecture

a95da91fffb1120e1e748c9ee7717a622647288e

[ "MIT" ]

1

2019-12-11T01:32:08.000Z

from .abstract import ( # noqa: F401 AbstractDao, QueryChain, ) from .file import FileDao # noqa: F401 from .in_memory import InMemoryDao # noqa: F401

23.142857

48

0.703704

20

162

5.65

0.6

0.212389

0

0.070866

0.216049

162

6

49

27

0.818898

0.197531

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

5c80510c74859643a23b0660a59840bd5aff7fed

96

py

Python

venv/lib/python3.8/site-packages/numpy/core/tests/test_indexerrors.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/numpy/core/tests/test_indexerrors.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/numpy/core/tests/test_indexerrors.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/90/df/71/2e5e85553ce623b7ee9a7fdcb99de4d289979d37ad82d0a73d8e3872fc

96

0.895833

9

96

9.555556

1

0

0.395833

0

96

1

96

0.5

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

null

1

0

1

0

5

5cc3610b3eeed91461fb277dcaad7e8fe95f847f

151

py

Python

code/scripts/click.py

PetropoulakisPanagiotis/BSc_thesis

1afb670b7ef250795127a50001734c5203b241b7

[ "MIT" ]

2

2020-10-19T11:38:09.000Z

2022-03-30T04:46:28.000Z

code/scripts/click.py

PetropoulakisPanagiotis/BSc_thesis

1afb670b7ef250795127a50001734c5203b241b7

[ "MIT" ]

null

code/scripts/click.py

PetropoulakisPanagiotis/BSc_thesis

1afb670b7ef250795127a50001734c5203b241b7

[ "MIT" ]

1

2021-10-08T08:19:43.000Z

from pymouse import PyMouse import time m = PyMouse() while True: m.click(600, 424) #time.sleep(5) #m.click(790, 424) time.sleep(150)

15.1

27

0.642384

24

151

4.041667

0.583333

0.268041

0.247423

0

0.136752

0.225166

151

9

28

16.777778

0.692308

0.198676

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

5cdbdcec8b47cf8f558fe9098e8a5171cd527aa5

1,567

py

Python

scripts/genetic_algo/parsing.py

marcelomf/tbfix

14873dddcd2d35a332efdeb334dbdfc677ba781b

[ "MIT" ]

9

2021-04-03T04:27:09.000Z

2021-11-29T04:33:47.000Z

scripts/genetic_algo/parsing.py

marcelomf/tbfix

14873dddcd2d35a332efdeb334dbdfc677ba781b

[ "MIT" ]

3

2021-03-31T17:09:11.000Z

2021-07-01T13:31:59.000Z

scripts/genetic_algo/parsing.py

marcelomf/tbfix

14873dddcd2d35a332efdeb334dbdfc677ba781b

[ "MIT" ]

4

2021-04-13T19:48:15.000Z

2022-01-02T19:30:52.000Z

import shlex import subprocess import re def parse_trades(stuff): """ >>> parse_trades("1 trades over 17 days (avg 0.06 trades/day)") '0.06' :param stuff: :return: """ return stuff.split(b'avg')[-1].strip().split()[0] def args_for_strategy(strat): ansi_escape = re.compile(b'\x1b[^m]*m') available = subprocess.check_output(shlex.split('env node zenbot.js list-strategies')) strats = [ansi_escape.sub(b'', strat.strip()) for strat in available.split(b'\n\n')] groups = [group.splitlines() for group in strats] output = {split[0].split()[0]: split[1:] for split in groups if split} result = {strategy: [line.strip().strip(b'-').split(b'=')[0] for line in lines if b'--' in line] for strategy, lines in output.items()} result = {key.decode(): [p.decode() for p in val] for key, val in result.items()} return result[strat] def strategies(): ansi_escape = re.compile(b'\x1b[^m]*m') available = subprocess.check_output(shlex.split('env node zenbot.js list-strategies')) strats = [ansi_escape.sub(b'', strat.strip()) for strat in available.split(b'\n\n')] groups = [group.splitlines() for group in strats] output = {split[0].split()[0]: split[1:] for split in groups if split} result = {strategy: [line.strip().strip(b'-').split(b'=')[0] for line in lines if b'--' in line] for strategy, lines in output.items()} result = [key.decode() for key, val in result.items()] return result

37.309524

90

0.611997

228

1,567

4.162281

0.241228

0.031612

0.046365

0.040042

0.783983

0.712329

0

0.017213

0.221442

1,567

41

91

38.219512

0.760656

0.059349

0

0.571429

0

0.073997

0

1

0.107143

false

0

0.107143

0

0.321429

0

null

0

1

0

null

0

5

7a430ed9ca7d3669c651021e3236ad9f88017045

2,135

py

Python

tests/test_matmul.py

gavinuhma/tf-encrypted

4e18d78a151bbe91489a1773fb839b889ff5b460

[ "Apache-2.0" ]

3

2018-10-18T19:36:02.000Z

2020-07-05T19:46:23.000Z

tests/test_matmul.py

dropoutlabs/tf-encrypted

48c9dc7419163425e736ad05bb19980d134fc851

[ "Apache-2.0" ]

null

tests/test_matmul.py

dropoutlabs/tf-encrypted

48c9dc7419163425e736ad05bb19980d134fc851

[ "Apache-2.0" ]

null

# pylint: disable=missing-docstring import unittest import numpy as np import tensorflow as tf import tf_encrypted as tfe class TestMatMul(unittest.TestCase): def setUp(self): tf.reset_default_graph() def test_matmul(self) -> None: with tfe.protocol.Pond() as prot: input_shape = [4, 5] x_in = np.random.normal(size=input_shape) filter_shape = [5, 4] filter_values = np.random.normal(size=filter_shape) input_input = prot.define_private_variable(x_in) filter_filter = prot.define_private_variable(filter_values) out = prot.matmul(input_input, filter_filter) with tfe.Session() as sess: sess.run(tf.global_variables_initializer()) out_pond = sess.run(out.reveal()) # reset graph tf.reset_default_graph() with tf.Session() as sess: x = tf.Variable(x_in, dtype=tf.float32) filters_tf = tf.Variable(filter_values, dtype=tf.float32) out = tf.matmul(x, filters_tf) sess.run(tf.global_variables_initializer()) out_tensorflow = sess.run(out) np.testing.assert_array_almost_equal(out_pond, out_tensorflow, decimal=2) def test_big_middle_matmul(self) -> None: with tfe.protocol.Pond() as prot: input_shape = [64, 4500] x_in = np.random.normal(size=input_shape) filter_shape = [4500, 64] filter_values = np.random.normal(size=filter_shape) input_input = prot.define_private_variable(x_in) filter_filter = prot.define_private_variable(filter_values) out = prot.matmul(input_input, filter_filter) with tfe.Session() as sess: sess.run(tf.global_variables_initializer()) out_pond = sess.run(out.reveal()) # reset graph tf.reset_default_graph() with tf.Session() as sess: x = tf.Variable(x_in, dtype=tf.float32) filters_tf = tf.Variable(filter_values, dtype=tf.float32) out = tf.matmul(x, filters_tf) sess.run(tf.global_variables_initializer()) out_tensorflow = sess.run(out) np.testing.assert_allclose(out_pond, out_tensorflow, atol=.1) if __name__ == '__main__': unittest.main()

25.722892

77

0.68993

299

2,135

4.662207

0.237458

0.040172

0.05165

0.784792

0

0.015258

0.201874

2,135

82

78

26.036585

0.802817

0.026698

0

0.673469

0

0.003857

0

0.040816

1

0.061224

false

0

0.081633

0

0.163265

0

null

0

1

0

null

0

5

7a851596e75aedba8d743a280b4b9117cdc2933b

3,423

py

Python

src/GL/sim/random_eff_ell.py

kylmcgr/RL-RNN-SURF

5d6db3e6ff4534003f2a7e832f221b5e529775d5

[ "Apache-2.0" ]

2

2021-03-12T11:12:23.000Z

2021-05-19T08:32:47.000Z

src/GL/sim/random_eff_ell.py

kylmcgr/RL-RNN-SURF

5d6db3e6ff4534003f2a7e832f221b5e529775d5

[ "Apache-2.0" ]

6

2019-12-16T21:54:13.000Z

2022-02-10T00:16:08.000Z

src/GL/sim/random_eff_ell.py

kylmcgr/RL-RNN-SURF

5d6db3e6ff4534003f2a7e832f221b5e529775d5

[ "Apache-2.0" ]

3

2019-11-07T22:44:21.000Z

2021-02-22T05:51:59.000Z

# Calculates ELL for the models fitted to each subject separately. # This file operates on the output of file 'fit/gql_ml_rand_opt.py', 'fit/ql_ml_rand_opt.py', 'fit/qlp_ml_rand_opt.py'. from actionflow.qrl.gql import GQL from actionflow.qrl.opt_ml import OptML from actionflow.qrl.ql import QL from actionflow.qrl.simulate import Simulator from BD.data.data_reader import DataReader import tensorflow as tf from BD.util.paths import Paths def evaluate_gql_random(): data = DataReader.read_BD() base_input_folder = Paths.rest_path + 'archive/beh/gql-ml-rand-opt/' base_output_folder = Paths.local_path + 'BD/evals/gql-ml-rand/' model_iters = ['model-final'] folds = {'Healthy': ['fold' + str(x) for x in range(0, 34)], 'Bipolar': ['fold' + str(x) for x in range(0, 33)], 'Depression': ['fold' + str(x) for x in range(0, 34)] } tf.reset_default_graph() worker = GQL.get_instance(2, 2, {}) worker.set_params(OptML.get_variables(worker.get_params())) def test_and_save(sess, test, output_folder): return OptML.test_and_save("", output_folder, None, sess, test, worker) Simulator.evaluate_CV(base_input_folder, base_output_folder, test_and_save, data, folds, model_iters, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], random_tie=True) def evaluate_ql_random(): data = DataReader.read_BD() base_input_folder = Paths.rest_path + 'archive/beh/ql-ml-rand-opt/' base_output_folder = Paths.local_path + 'BD/evals/ql-ml-rand/' model_iters = ['model-final'] folds = {'Healthy': ['fold' + str(x) for x in range(0, 34)], 'Bipolar': ['fold' + str(x) for x in range(0, 33)], 'Depression': ['fold' + str(x) for x in range(0, 34)] } tf.reset_default_graph() worker = QL.get_instance_without_pser(2, 0.1, 0.2) worker.set_params(OptML.get_variables(worker.get_params())) def test_and_save(sess, test, output_folder): return OptML.test_and_save("", output_folder, None, sess, test, worker) Simulator.evaluate_CV(base_input_folder, base_output_folder, test_and_save, data, folds, model_iters, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], random_tie=True) def evaluate_qlp_random(): data = DataReader.read_BD() base_input_folder = Paths.rest_path + 'archive/beh/qlp-ml-rand-opt/' base_output_folder = Paths.local_path + 'BD/evals/qlp-ml-rand/' model_iters = ['model-final'] folds = {'Healthy': ['fold' + str(x) for x in range(0, 34)], 'Bipolar': ['fold' + str(x) for x in range(0, 33)], 'Depression': ['fold' + str(x) for x in range(0, 34)] } tf.reset_default_graph() worker = QL.get_instance_with_pser(2, 0.1, 0.2, 0.3) worker.set_params(OptML.get_variables(worker.get_params())) def test_and_save(sess, test, output_folder): return OptML.test_and_save("", output_folder, None, sess, test, worker) Simulator.evaluate_CV(base_input_folder, base_output_folder, test_and_save, data, folds, model_iters, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], random_tie=True) if __name__ == '__main__': evaluate_gql_random() evaluate_ql_random() evaluate_qlp_random()

42.7875

119

0.628396

507

3,423

4.001972

0.205128

0.070971

0.035485

0.048793

0.781666

0.767866

0.759487

0

0.033013

0.238972

3,423

79

120

43.329114

0.745873

0.05317

0

0.580645

0

0.090797

0.038604

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1

0.096774

false

0

0.112903

0.048387

0.258065

0

null

0

1

0

null

0

5

7a88f3941ab094a068b215d0954fb8d5529661be

424

py

Python

pages/views.py

smandal047/portfolio

5208a2e80b410302c7a8060c128b04fdb2bc561f

[ "MIT" ]

null

pages/views.py

smandal047/portfolio

5208a2e80b410302c7a8060c128b04fdb2bc561f

[ "MIT" ]

null

pages/views.py

smandal047/portfolio

5208a2e80b410302c7a8060c128b04fdb2bc561f

[ "MIT" ]

null

from django.shortcuts import render # Create your views here. # homepage def homepage_view(request): return render(request, 'homepage.html', {}) # about page def about_view(request): return render(request, 'about.html', {}) # myRhythm page def portfolio_view(request): return render(request, 'portfolio.html', {}) # contact page def contact_view(request): return render(request, 'contact.html', {})

17.666667

48

0.707547

52

424

5.692308

0.384615

0.148649

0.22973

0.310811

0.405405

0

0.162736

424

23

49

18.434783

0.833803

0.165094

0

0.140805

0

1

0.444444

false

0

0.111111

0.444444

1

0

null

0

1

0

null

0

1

0

1

0

5

7aa8421e4cae21be80c336a26749c26d33844566

114

py

Python

upload_video_by_user/app/admin.py

farhan3a/3D-HumanPoseEstimation

906b972749371c8fb16cb851e9a069df1cf76053

[ "CC0-1.0" ]

1

2021-04-10T07:39:39.000Z

upload_video_by_user/app/admin.py

farhan3a/3D-HumanPoseEstimation

906b972749371c8fb16cb851e9a069df1cf76053

[ "CC0-1.0" ]

null

upload_video_by_user/app/admin.py

farhan3a/3D-HumanPoseEstimation

906b972749371c8fb16cb851e9a069df1cf76053

[ "CC0-1.0" ]

2

2021-01-05T18:27:11.000Z

2021-04-24T00:53:42.000Z

from django.contrib import admin # Register your models here. from .models import Video admin.site.register(Video)

28.5

32

0.815789

17

114

5.470588

0.647059

0

0.114035

114

4

33

28.5

0.920792

0.22807

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8f44895a1fad47c6ab9257c59323b48f52ffcc22

179

py

Python

blitzortung/builder/__init__.py

wuan/bo-python

86c90e437ff456092bf7c9eff8c85daffdd220f0

[ "Apache-2.0" ]

3

2015-04-09T22:33:59.000Z

2019-02-12T12:52:16.000Z

blitzortung/builder/__init__.py

wuan/bo-python

86c90e437ff456092bf7c9eff8c85daffdd220f0

[ "Apache-2.0" ]

7

2015-05-23T13:38:14.000Z

2019-12-13T20:43:12.000Z

blitzortung/builder/__init__.py

wuan/bo-python

86c90e437ff456092bf7c9eff8c85daffdd220f0

[ "Apache-2.0" ]

4

2015-12-13T12:40:40.000Z

2021-07-09T10:48:16.000Z

from .base import Timestamp, Event, BuilderError from .raw_signal import RawWaveformEvent, ChannelWaveform from .station import Station, StationOffline from .strike import Strike

35.8

57

0.843575

21

179

7.142857

0.619048

0

0.111732

179

4

58

44.75

0.943396

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

56b947a7641db50ca88e6c8c9cc9eb0b570124f2

108

py

Python

src/onceml/types/__init__.py

lzmchina/OnceML

f30d9037d2e492d8d45b858f2be3b27fc5258356

[ "MIT" ]

1

2022-01-01T07:15:03.000Z

src/onceml/types/__init__.py

lzmchina/OnceML

f30d9037d2e492d8d45b858f2be3b27fc5258356

[ "MIT" ]

null

src/onceml/types/__init__.py

lzmchina/OnceML

f30d9037d2e492d8d45b858f2be3b27fc5258356

[ "MIT" ]

null

# -*- encoding: utf-8 -*- ''' @Description : @Date :2021/04/19 15:53:18 @Author :lzm @version :0.0.1 '''

9.818182

26

0.555556

17

108

3.529412

0.941176

0

0.202247

0.175926

108

10

27

10.8

0.47191

1.018519

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

711ae8765dead38e3e378a5cebdfa995168a15ff

24,159

py

Python

codegen/droptakefilter_testgen.py

m1griffin/arrayfunc

df57097699c25d3e949e1ade307ed61eaa5728c2

[ "Apache-2.0" ]

2

2017-08-28T08:41:16.000Z

2018-05-29T03:49:36.000Z

codegen/droptakefilter_testgen.py

m1griffin/arrayfunc

df57097699c25d3e949e1ade307ed61eaa5728c2

[ "Apache-2.0" ]

null

codegen/droptakefilter_testgen.py

m1griffin/arrayfunc

df57097699c25d3e949e1ade307ed61eaa5728c2

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 ############################################################################## # Project: arrayfunc # Purpose: Generate the unit tests for afilter, dropwhile, takewhile. # Language: Python 3.4 # Date: 22-May-2014 # ############################################################################### # # Copyright 2014 - 2019 Michael Griffin <m12.griffin@gmail.com> # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ############################################################################## # ============================================================================== import itertools import codegen_common # ============================================================================== # The template used to generate the basic operator tests. op_template = ''' ############################################################################## class %(funcname)s_operator_%(typecode)s(unittest.TestCase): """Test for basic operator function. """ ######################################################## def setUp(self): """Initialise. """ self.TypeCode = '%(typecode)s' self.TestData = [97%(zeropad)s, 97%(zeropad)s, 97%(zeropad)s, 98%(zeropad)s, 99%(zeropad)s, 101%(zeropad)s, 101%(zeropad)s, 102%(zeropad)s, 95%(zeropad)s, 103%(zeropad)s] self.zerofill = 0%(zeropad)s self.data = array.array(self.TypeCode, self.TestData) self.dataout = array.array(self.TypeCode, itertools.repeat(self.zerofill, len(self.data))) # These are the compare operators to use when testing the function. self.opvals = { '<' : operator.lt, '<=' : operator.le, '==' : operator.eq, '!=' : operator.ne, '>=' : operator.ge, '>' : operator.gt } ######################################################## def %(pyfuncname)s(self, op, data, param, maxlen=0): """Emulate the test function. """ # If the maxlen parameter is used, trim the source data accordingly. if maxlen > 0: testdata = data[:maxlen] else: testdata = data # Get the type of compare operation we want, and convert it into a # function we can use as a predicate. opfunc = self.opvals[op] opval = lambda x: opfunc(x, param) # Peform the operation. result = list(%(pyfunccall)s(opval, testdata)) copiedlength = len(result) # Pad out with the same fill used for the output array, and return # the number of items copied. trimmed = result + list(itertools.repeat(self.zerofill, len(data) - len(result))) return trimmed, copiedlength ######################################################## def test_operator_eq_01(self): """Test eq - Array code %(typecode)s. """ param = 97%(zeropad)s result = arrayfunc.%(funcname)s('==', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('==', self.data, param) # Check the test to make sure it is working as intended. self.assertTrue((result > 0) and (result < len(self.data))) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_operator_gt_01(self): """Test gt - Array code %(typecode)s. """ param = 96%(zeropad)s result = arrayfunc.%(funcname)s('>', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('>', self.data, param) # Check the test to make sure it is working as intended. self.assertTrue((result > 0) and (result < len(self.data))) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_operator_gte_01(self): """Test gte - Array code %(typecode)s. """ param = 96%(zeropad)s result = arrayfunc.%(funcname)s('>=', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('>=', self.data, param) # Check the test to make sure it is working as intended. self.assertTrue((result > 0) and (result < len(self.data))) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_operator_lt_01(self): """Test lt - Array code %(typecode)s. """ param = 98%(zeropad)s result = arrayfunc.%(funcname)s('<', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('<', self.data, param) # Check the test to make sure it is working as intended. self.assertTrue((result > 0) and (result < len(self.data))) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_operator_lte_01(self): """Test lte - Array code %(typecode)s. """ param = 98%(zeropad)s result = arrayfunc.%(funcname)s('<=', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('<=', self.data, param) # Check the test to make sure it is working as intended. self.assertTrue((result > 0) and (result < len(self.data))) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_operator_ne_01(self): """Test ne - Array code %(typecode)s. """ param = 98%(zeropad)s result = arrayfunc.%(funcname)s('!=', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('!=', self.data, param) # Check the test to make sure it is working as intended. self.assertTrue((result > 0) and (result < len(self.data))) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_operator_lim_01(self): """Test array limits - Array code %(typecode)s. """ param = 97%(zeropad)s result = arrayfunc.%(funcname)s('==', self.data, self.dataout, param, maxlen=len(self.data)//2) expected, explength = self.%(pyfuncname)s('==', self.data, param, maxlen=len(self.data)//2) # Check the test to make sure it is working as intended. self.assertTrue((result > 0) and (result < len(self.data))) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_operator_lim_02(self): """Test array limits - Array code %(typecode)s. """ param = 97%(zeropad)s result = arrayfunc.%(funcname)s('==', self.data, self.dataout, param, maxlen=-1) expected, explength = self.%(pyfuncname)s('==', self.data, param, maxlen=-1) # Check the test to make sure it is working as intended. self.assertTrue((result > 0) and (result < len(self.data))) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ############################################################################## ''' # ============================================================================== # The template used to generate the parameter tests. param_template = ''' ############################################################################## class %(funcname)s_params_%(typecode)s(unittest.TestCase): """Test for basic parameter function. """ ######################################################## def setUp(self): """Initialise. """ self.TypeCode = '%(typecode)s' self.TestData = [97%(zeropad)s, 97%(zeropad)s, 97%(zeropad)s, 98%(zeropad)s, 99%(zeropad)s, 101%(zeropad)s, 101%(zeropad)s, 102%(zeropad)s, 102%(zeropad)s, 103%(zeropad)s] self.zerofill = 0%(zeropad)s self.data = array.array(self.TypeCode, self.TestData) self.dataout = array.array(self.TypeCode, itertools.repeat(self.zerofill, len(self.data))) # This is used in testing parameters. self.dataempty = array.array(self.TypeCode) ######################################################## def test_param_no_params(self): """Test exception when no parameters passed - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s() # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s() ######################################################## def test_param_one_params(self): """Test exception when one parameter passed - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==') # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1) ######################################################## def test_param_two_params(self): """Test exception when two parameters passed - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data) # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1) ######################################################## def test_param_three_params(self): """Test exception when three parameters passed - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout) # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1) ######################################################## def test_param_six_params(self): """Test exception when too many (six) parameters passed - Array code %(typecode)s. """ param = 101%(zeropad)s with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout, param, 3, maxlen=2) # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1, [1, 2, 3, 4], 3) ######################################################## def test_param_invalid_keyword_params(self): """Test exception with invalid keyword parameters passed - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout, 100%(zeropad)s, xx=2) # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1, [0, 1, 2, 3, 4], xx=2) ######################################################## def test_param_invalid_keyword_param_type(self): """Test exception with invalid keyword parameter type passed - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout, 100%(zeropad)s, maxlen='x') # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1, [0, 1, 2, 3, 4], maxlen='x') ######################################################## def test_param_invalid_opcode_param_value(self): """Test exception with invalid first parameter value - Array code %(typecode)s. """ with self.assertRaises(ValueError): result = arrayfunc.%(funcname)s('!', self.data, self.dataout, 100%(zeropad)s) ######################################################## def test_param_invalid_opcode_param_type(self): """Test exception with invalid first parameter type - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s(62, self.data, self.dataout, 100%(zeropad)s) # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = list(%(pyfunccall)s('a', [0, 1, 2, 3, 4])) ######################################################## def test_param_invalid_input_array_param_value(self): """Test exception with invalid array input parameter value - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', 99, self.dataout, 100%(zeropad)s) # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1, 99) ######################################################## def test_param_invalid_output_array_param_value(self): """Test exception with invalid array output parameter type - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, 99, 100%(zeropad)s) # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1, 99) ######################################################## def test_param_invalid_input_array_param_length(self): """Test exception with empty input array parameter type - Array code %(typecode)s. """ with self.assertRaises(IndexError): result = arrayfunc.%(funcname)s('==', self.dataempty, self.dataout, 100%(zeropad)s) ######################################################## def test_param_invalid_output_array_param_length(self): """Test exception with empty output array parameter type - Array code %(typecode)s. """ with self.assertRaises(IndexError): result = arrayfunc.%(funcname)s('==', self.data, self.dataempty, 100%(zeropad)s) ######################################################## def test_param_invalid_array_param_type_01(self): """Test exception with invalid compare parameter type - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout, 'e') # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1, 99) ######################################################## def test_param_invalid_array_param_type_02(self): """Test exception with invalid compare parameter type - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout, 100%(invalidzeropad)s) # Check that the exception raised corresponds to the native Python behaviour. with self.assertRaises(TypeError): result = %(pyfunccall)s(lambda x: x < 1, 99) ############################################################################## ''' # ============================================================================== # Overflow testing. This can't be used with all types. overflow_template = ''' ############################################################################## class %(funcname)s_paramovfl_%(typecode)s(unittest.TestCase): """Test for testing parameter overflow. """ ######################################################## def setUp(self): """Initialise. """ self.TypeCode = '%(typecode)s' self.zerofill = 0%(zeropad)s # These values are used for testing parameter overflows. self.dataovfl = array.array(self.TypeCode, range(97, 107)) self.dataoutovfl = array.array(self.TypeCode, itertools.repeat(self.zerofill, len(self.dataovfl))) self.MinVal = arrayfunc.arraylimits.%(typecode)s_min self.Maxval = arrayfunc.arraylimits.%(typecode)s_max ######################################################## def test_overflow_min(self): """Test parameter overflow min - Array code %(typecode)s. """ with self.assertRaises(OverflowError): result = arrayfunc.%(funcname)s('==', self.dataovfl, self.dataoutovfl, self.MinVal %(overflowdec)s) ######################################################## def test_overflow_max(self): """Test parameter overflow max - Array code %(typecode)s. """ with self.assertRaises(OverflowError): result = arrayfunc.%(funcname)s('==', self.dataovfl, self.dataoutovfl, self.Maxval %(overflowinc)s) ######################################################## def test_overflow_ok(self): """Test no overflow. These should not overflow - Array code %(typecode)s. """ result = arrayfunc.%(funcname)s('==', self.dataovfl, self.dataoutovfl, self.MinVal) result = arrayfunc.%(funcname)s('==', self.dataovfl, self.dataoutovfl, self.Maxval) ############################################################################## ''' # ============================================================================== # The template used to generate the tests for nan, inf, -inf. nonfinite_template = ''' ############################################################################## class %(funcname)s_nonfinite_%(typecode)s(unittest.TestCase): """Test for nan, inf, -inf. """ ######################################################## def setUp(self): """Initialise. """ self.data = array.array('%(typecode)s', [100.0] * 10) self.dataout = array.array('%(typecode)s', itertools.repeat(0.0, len(self.data))) self.zerofill = 0.0 # These are the compare operators to use when testing the function. self.opvals = { '<' : operator.lt, '<=' : operator.le, '==' : operator.eq, '!=' : operator.ne, '>=' : operator.ge, '>' : operator.gt } ######################################################## def %(pyfuncname)s(self, op, data, param, maxlen=0): """Emulate the test function. """ # If the maxlen parameter is used, trim the source data accordingly. if maxlen > 0: testdata = data[:maxlen] else: testdata = data # Get the type of compare operation we want, and convert it into a # function we can use as a predicate. opfunc = self.opvals[op] opval = lambda x: opfunc(x, param) # Peform the operation. result = list(%(pyfunccall)s(opval, testdata)) copiedlength = len(result) # Pad out with the same fill used for the output array, and return # the number of items copied. trimmed = result + list(itertools.repeat(self.zerofill, len(data) - len(result))) return trimmed, copiedlength ######################################################## def test_nonfinite_01(self): """Test for param of nan - Array code %(typecode)s. """ param = math.nan result = arrayfunc.%(funcname)s('==', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('==', self.data, param) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_nonfinite_02(self): """Test for param of inf - Array code %(typecode)s. """ param = math.inf result = arrayfunc.%(funcname)s('==', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('==', self.data, param) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_nonfinite_03(self): """Test for param of -inf - Array code %(typecode)s. """ param = -math.inf result = arrayfunc.%(funcname)s('==', self.data, self.dataout, param) expected, explength = self.%(pyfuncname)s('==', self.data, param) self.assertEqual(result, explength) for dataoutitem, expecteditem in zip(list(self.dataout), expected): self.assertEqual(dataoutitem, expecteditem) ######################################################## def test_nonfinite_04(self): """Test for maxlen of nan - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout, 100.0, maxlen=math.nan) ######################################################## def test_nonfinite_05(self): """Test for maxlen of inf - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout, 100.0, maxlen=math.inf) ######################################################## def test_nonfinite_06(self): """Test for maxlen of -inf - Array code %(typecode)s. """ with self.assertRaises(TypeError): result = arrayfunc.%(funcname)s('==', self.data, self.dataout, 100.0, maxlen=-math.inf) ############################################################################## ''' # ============================================================================== # ============================================================================== # The names of the functions which implement the equivalent Python operations # for test purposes. pyfuncname = {'afilter' : 'PyFilter', 'dropwhile' : 'DropWhile', 'takewhile' : 'TakeWhile' } # The Python native version function call. pyfunccall = {'afilter' : 'filter', 'dropwhile' : 'itertools.dropwhile', 'takewhile' : 'itertools.takewhile' } # ============================================================================== # This defines the module name. modulename = 'arrayfunc' # Import the array module for testing. arrayimport = 'import array' # The functions which are implemented by this program. completefuncnames = ('afilter', 'dropwhile', 'takewhile') # ============================================================================== # Output the functions which implement the individual non-SIMD # implementation functions. for funcname in completefuncnames: filenamebase = 'test_' + funcname filename = filenamebase + '.py' headerdate = codegen_common.FormatHeaderData(filenamebase, '18-Jun-2014', funcname) # Add additional header data. headerdate['modulename'] = modulename headerdate['arrayimport'] = arrayimport with open(filename, 'w') as f: # The copyright header. f.write(codegen_common.HeaderTemplate % headerdate) ##### # Basic tests. # Check each array type. for arraycode in codegen_common.arraycodes: if arraycode in codegen_common.floatarrays: zeropad = '.0' invalidzeropad = '' overflowinc = '* 1.1' overflowdec = '* 1.1' else: zeropad = '' invalidzeropad = '.5' overflowinc = '+ 1' overflowdec = '- 1' opdata = {'funcname' : funcname, 'typecode' : arraycode, 'zeropad' : zeropad, 'invalidzeropad' : invalidzeropad, 'pyfuncname' : pyfuncname[funcname], 'overflowinc' : overflowinc, 'overflowdec' : overflowdec, 'pyfunccall' : pyfunccall[funcname] } f.write(op_template % opdata) f.write(param_template % opdata) # Parameter overflow tests do not work with all array types. if arraycode not in ('L', 'Q', 'd'): f.write(overflow_template % opdata) # Non finite tests for parameter tests for floating point arrays. for arraycode in codegen_common.floatarrays: opdata = {'funcname' : funcname, 'pyfuncname' : pyfuncname[funcname], 'typecode' : arraycode, 'pyfunccall' : pyfunccall[funcname] } f.write(nonfinite_template % opdata) ##### # The code which initiates the unit test. f.write(codegen_common.testendtemplate % {'funcname' : funcname, 'testprefix' : 'af'}) # ==============================================================================

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null

0

5

7124f65a5250d291959b14f8ee2a9e8c0b48a455

7,531

py

Python

external/devlib/devlib/module/biglittle.py

qais-yousef/lisa

8343e26bf0565589928a69ccbe67b1be03403db7

[ "Apache-2.0" ]

159

2016-01-25T11:08:39.000Z

2022-03-28T05:20:41.000Z

external/devlib/devlib/module/biglittle.py

qais-yousef/lisa

8343e26bf0565589928a69ccbe67b1be03403db7

[ "Apache-2.0" ]

656

2016-01-25T11:16:56.000Z

2022-03-23T16:03:28.000Z

external/devlib/devlib/module/biglittle.py

qais-yousef/lisa

8343e26bf0565589928a69ccbe67b1be03403db7

[ "Apache-2.0" ]

116

2016-01-25T12:06:31.000Z

2022-03-28T08:43:28.000Z

# Copyright 2018 ARM Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from devlib.module import Module class BigLittleModule(Module): name = 'bl' @staticmethod def probe(target): return target.big_core is not None @property def bigs(self): return [i for i, c in enumerate(self.target.platform.core_names) if c == self.target.platform.big_core] @property def littles(self): return [i for i, c in enumerate(self.target.platform.core_names) if c == self.target.platform.little_core] @property def bigs_online(self): return list(sorted(set(self.bigs).intersection(self.target.list_online_cpus()))) @property def littles_online(self): return list(sorted(set(self.littles).intersection(self.target.list_online_cpus()))) # hotplug def online_all_bigs(self): self.target.hotplug.online(*self.bigs) def offline_all_bigs(self): self.target.hotplug.offline(*self.bigs) def online_all_littles(self): self.target.hotplug.online(*self.littles) def offline_all_littles(self): self.target.hotplug.offline(*self.littles) # cpufreq def list_bigs_frequencies(self): bigs_online = self.bigs_online if bigs_online: return self.target.cpufreq.list_frequencies(bigs_online[0]) def list_bigs_governors(self): bigs_online = self.bigs_online if bigs_online: return self.target.cpufreq.list_governors(bigs_online[0]) def list_bigs_governor_tunables(self): bigs_online = self.bigs_online if bigs_online: return self.target.cpufreq.list_governor_tunables(bigs_online[0]) def list_littles_frequencies(self): littles_online = self.littles_online if littles_online: return self.target.cpufreq.list_frequencies(littles_online[0]) def list_littles_governors(self): littles_online = self.littles_online if littles_online: return self.target.cpufreq.list_governors(littles_online[0]) def list_littles_governor_tunables(self): littles_online = self.littles_online if littles_online: return self.target.cpufreq.list_governor_tunables(littles_online[0]) def get_bigs_governor(self): bigs_online = self.bigs_online if bigs_online: return self.target.cpufreq.get_governor(bigs_online[0]) def get_bigs_governor_tunables(self): bigs_online = self.bigs_online if bigs_online: return self.target.cpufreq.get_governor_tunables(bigs_online[0]) def get_bigs_frequency(self): bigs_online = self.bigs_online if bigs_online: return self.target.cpufreq.get_frequency(bigs_online[0]) def get_bigs_min_frequency(self): bigs_online = self.bigs_online if bigs_online: return self.target.cpufreq.get_min_frequency(bigs_online[0]) def get_bigs_max_frequency(self): bigs_online = self.bigs_online if bigs_online: return self.target.cpufreq.get_max_frequency(bigs_online[0]) def get_littles_governor(self): littles_online = self.littles_online if littles_online: return self.target.cpufreq.get_governor(littles_online[0]) def get_littles_governor_tunables(self): littles_online = self.littles_online if littles_online: return self.target.cpufreq.get_governor_tunables(littles_online[0]) def get_littles_frequency(self): littles_online = self.littles_online if littles_online: return self.target.cpufreq.get_frequency(littles_online[0]) def get_littles_min_frequency(self): littles_online = self.littles_online if littles_online: return self.target.cpufreq.get_min_frequency(littles_online[0]) def get_littles_max_frequency(self): littles_online = self.littles_online if littles_online: return self.target.cpufreq.get_max_frequency(littles_online[0]) def set_bigs_governor(self, governor, **kwargs): bigs_online = self.bigs_online if bigs_online: self.target.cpufreq.set_governor(bigs_online[0], governor, **kwargs) else: raise ValueError("All bigs appear to be offline") def set_bigs_governor_tunables(self, governor, **kwargs): bigs_online = self.bigs_online if bigs_online: self.target.cpufreq.set_governor_tunables(bigs_online[0], governor, **kwargs) else: raise ValueError("All bigs appear to be offline") def set_bigs_frequency(self, frequency, exact=True): bigs_online = self.bigs_online if bigs_online: self.target.cpufreq.set_frequency(bigs_online[0], frequency, exact) else: raise ValueError("All bigs appear to be offline") def set_bigs_min_frequency(self, frequency, exact=True): bigs_online = self.bigs_online if bigs_online: self.target.cpufreq.set_min_frequency(bigs_online[0], frequency, exact) else: raise ValueError("All bigs appear to be offline") def set_bigs_max_frequency(self, frequency, exact=True): bigs_online = self.bigs_online if bigs_online: self.target.cpufreq.set_max_frequency(bigs_online[0], frequency, exact) else: raise ValueError("All bigs appear to be offline") def set_littles_governor(self, governor, **kwargs): littles_online = self.littles_online if littles_online: self.target.cpufreq.set_governor(littles_online[0], governor, **kwargs) else: raise ValueError("All littles appear to be offline") def set_littles_governor_tunables(self, governor, **kwargs): littles_online = self.littles_online if littles_online: self.target.cpufreq.set_governor_tunables(littles_online[0], governor, **kwargs) else: raise ValueError("All littles appear to be offline") def set_littles_frequency(self, frequency, exact=True): littles_online = self.littles_online if littles_online: self.target.cpufreq.set_frequency(littles_online[0], frequency, exact) else: raise ValueError("All littles appear to be offline") def set_littles_min_frequency(self, frequency, exact=True): littles_online = self.littles_online if littles_online: self.target.cpufreq.set_min_frequency(littles_online[0], frequency, exact) else: raise ValueError("All littles appear to be offline") def set_littles_max_frequency(self, frequency, exact=True): littles_online = self.littles_online if littles_online: self.target.cpufreq.set_max_frequency(littles_online[0], frequency, exact) else: raise ValueError("All littles appear to be offline")

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null

0

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1

0

null

0

1

0

5

8548b9c248e709d206a03a414372aaacd9d234d6

19

py

Python

lib/stripe/version.py

linuxpi/hypoconn_gcloud

ebf06c44dc754ac446a0915a0db028f18e3f35a7

[ "Apache-2.0" ]

null

lib/stripe/version.py

linuxpi/hypoconn_gcloud

ebf06c44dc754ac446a0915a0db028f18e3f35a7

[ "Apache-2.0" ]

1

2021-03-31T18:36:41.000Z

lib/stripe/version.py

linuxpi/hypoconn_gcloud

ebf06c44dc754ac446a0915a0db028f18e3f35a7

[ "Apache-2.0" ]

null

VERSION = '1.82.2'

9.5

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4

19

2.75

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0.4375

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0

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false

0

1

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null

0

1

0

1

0

1

0

null

0

5

857d1dd2cf59fa785f415543c53b17a4441189f5

73

py

Python

gaea/gaea/redis/__init__.py

Yo-main/akingbee.com

144940df99900226073eb4bf721a6ab407a3911d

[ "MIT" ]

null

gaea/gaea/redis/__init__.py

Yo-main/akingbee.com

144940df99900226073eb4bf721a6ab407a3911d

[ "MIT" ]

20

2019-10-06T20:24:49.000Z

2022-02-28T01:55:49.000Z

gaea/gaea/redis/__init__.py

yo-main/akingbee

a8b4b307e2262f98eb93459c6dd4207e707cee1e

[ "MIT" ]

null

from .client import RedisClient from .constants import QUEUE_EMAIL_RESET

24.333333

40

0.863014

10

73

6.1

0.8

0

0.109589

73

2

41

36.5

0.938462

0

1

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true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

85a75737d40a7094199439c3c139c1a9dd32c50c

90

py

Python

wallace/heroku/psiturkapp.py

sourcery-ai-bot/Wallace

64a29065a4d2cc7d9de9520fa3a09a6c2df41b99

[ "MIT" ]

21

2016-06-30T13:14:21.000Z

2021-01-02T14:29:25.000Z

wallace/heroku/psiturkapp.py

sourcery-ai-bot/Wallace

64a29065a4d2cc7d9de9520fa3a09a6c2df41b99

[ "MIT" ]

180

2015-07-03T18:42:11.000Z

2016-06-30T02:59:24.000Z

wallace/heroku/psiturkapp.py

sourcery-ai-bot/Wallace

64a29065a4d2cc7d9de9520fa3a09a6c2df41b99

[ "MIT" ]

8

2016-08-06T13:42:49.000Z

2016-09-05T21:46:06.000Z

"""Launch the experiment server.""" import psiturk.experiment_server as exp exp.launch()

18

39

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5.666667

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0

0.111111

90

4

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0

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true

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1

0

1

0

null

0

1

0

1

0

5

a42961c9e18c401d0201ad59ef73f073fa1c8d56

19

py

Python

create.py

God-status/PyPC

d2db55b1a24f4149cb4a69ebed6d36a160d92d76

[ "MIT" ]

1

2021-11-26T19:09:09.000Z

create.py

God-status/PyPC

d2db55b1a24f4149cb4a69ebed6d36a160d92d76

[ "MIT" ]

null

create.py

God-status/PyPC

d2db55b1a24f4149cb4a69ebed6d36a160d92d76

[ "MIT" ]

null

from pypc import *

9.5

18

0.736842

3

19

4.666667

1

0

0.210526

19

1

19

0.933333

0

1

0

true

0

1

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f12b6af8ea8f90f74bf706eac607d06dab78cabf

315

py

Python

applications/tenant/__init__.py

dev-easyshares/mighty

a6cf473fb8cfbf5b92db68c7b068fc8ae2911b8b

[ "MIT" ]

null

applications/tenant/__init__.py

dev-easyshares/mighty

a6cf473fb8cfbf5b92db68c7b068fc8ae2911b8b

[ "MIT" ]

1

2022-03-12T00:57:37.000Z

applications/tenant/__init__.py

dev-easyshares/mighty

a6cf473fb8cfbf5b92db68c7b068fc8ae2911b8b

[ "MIT" ]

null

default_app_config = 'mighty.applications.tenant.apps.TenantConfig' from django.apps import apps as django_apps from mighty.applications.tenant.apps import TenantConfig as conf def get_tenant_model(model=conf.ForeignKey.tenant): tenant = model.split('.') return django_apps.get_model(tenant[0], tenant[1])

39.375

67

0.796825

45

315

5.422222

0.466667

0.122951

0.196721

0.229508

0

0.007067

0.101587

315

8

68

39.375

0.855124

0

0.142405

0.139241

0

1

0.166667

false

0

0.333333

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

5

f13d8881aed53884b54105cd5cbf30c3b7de22bb

21

py

Python

refresh/__init__.py

squebe/refresh

bd86239c299e49bac78dbff80d56a6b15f822b0b

[ "MIT" ]

null

refresh/__init__.py

squebe/refresh

bd86239c299e49bac78dbff80d56a6b15f822b0b

[ "MIT" ]

null

refresh/__init__.py

squebe/refresh

bd86239c299e49bac78dbff80d56a6b15f822b0b

[ "MIT" ]

null

from refresh import *

21

0.809524

3

21

5.666667

1

0

0.142857

21

1

21

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f17319ec0843bca21806dd20e386e265a3c241e1

17

py

Python

Infosec_Virtual_Labs/InfosecLabs.py

RedaMastouri/IoT-PenTesting-Research-

102e45ece6150f65b92f12331cc0162084f7fb4e

[ "MIT" ]

null

Infosec_Virtual_Labs/InfosecLabs.py

RedaMastouri/IoT-PenTesting-Research-

102e45ece6150f65b92f12331cc0162084f7fb4e

[ "MIT" ]

null

Infosec_Virtual_Labs/InfosecLabs.py

RedaMastouri/IoT-PenTesting-Research-

102e45ece6150f65b92f12331cc0162084f7fb4e

[ "MIT" ]

1

2022-03-11T04:53:33.000Z

# InfosecLabs.py

8.5

16

0.764706

2

17

6.5

1

0

0.117647

17

1

17

0.866667

0.823529

0

null

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null

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null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

f18c18729fe93d6738c4eaf6e35b7dfb196284e1

39

py

Python

printarlista.py

joseigorgomes/Listas

c23a9a0adc9f13473552751d4f0dbddce38a5627

[ "MIT" ]

null

printarlista.py

joseigorgomes/Listas

c23a9a0adc9f13473552751d4f0dbddce38a5627

[ "MIT" ]

null

printarlista.py

joseigorgomes/Listas

c23a9a0adc9f13473552751d4f0dbddce38a5627

[ "MIT" ]

11

2019-10-01T13:52:31.000Z

2019-10-19T16:43:04.000Z

lista = ['1','2','3','4'] print(lista)

13

25

0.487179

7

39

2.714286

0.857143

0

0.114286

0.102564

39

2

26

19.5

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null

0

1

0

1

0

null

0

1

0

5

f18cef009fed114a36704f4e8ea27bc95c59a335

100

py

Python

tests/test_import.py

BlockResearchGroup/singular

660245618ef99a6bf6fdb767719e4377e6b4d761

[ "MIT" ]

6

2019-02-12T17:49:41.000Z

2020-04-15T10:28:49.000Z

tests/test_import.py

BlockResearchGroup/singular

660245618ef99a6bf6fdb767719e4377e6b4d761

[ "MIT" ]

3

2020-07-01T13:45:44.000Z

2020-10-07T14:40:52.000Z

tests/test_import.py

BlockResearchGroup/singular

660245618ef99a6bf6fdb767719e4377e6b4d761

[ "MIT" ]

6

2019-02-21T11:20:19.000Z

2020-04-02T10:20:00.000Z

import compas_singular def test_trivial(): print(compas_singular.__version__) assert True

14.285714

38

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74b5a74195967d4066702892ce842f44c3022639

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Python

Model 2/lib/Data_Preprocessing.py

luminousking/2021_IIAC_Competition

31ec46cd4c6feb03a868546dc7003d96411a8589

[ "MIT" ]

2

2021-08-15T10:50:10.000Z

2021-08-16T08:28:01.000Z

Model 2/lib/Data_Preprocessing.py

luminousking/2021_IIAC_Competition

31ec46cd4c6feb03a868546dc7003d96411a8589

[ "MIT" ]

null

Model 2/lib/Data_Preprocessing.py

luminousking/2021_IIAC_Competition

31ec46cd4c6feb03a868546dc7003d96411a8589

[ "MIT" ]

null

import pandas as pd import numpy as np from scipy.stats import kurtosis def q2q(x): return x.quantile(0.75) - x.quantile(0.25) def get_feature(filename, mode='Train'): df = pd.read_excel(filename) df.dropna(axis=1, how="all", inplace=True) df.fillna(method="ffill", inplace=True) if mode == 'Train': df.columns = ['worktime', 'workorder', 'workpieceNo', 'SmallHeadThickness1', 'SmallHeadThickness2', 'InnerHole', 'SlopeThickness1', 'SlopeThickness2', 'BigEndThickness1', 'BigEndThickness2', 'BigEndHole1', 'BigEndHole2', 'TotalLength', 'CentralJump', 'QJump', 'Note', 'TM', 'X_R', 'X_I', 'Z_R', 'Z_L', 'X2_R', 'X2_L', 'X3_R', 'X3_L', 'FEED_ACT', 'FEED_SET', 'SPINDLE_ACT', 'SPINDLE_SET', 'SPINDLE_PER', 'CODE_L1', 'CODE_L2', 'CODE_L3', 'C_R', 'C_L' ] else: df.columns = ['worktime', 'workorder', 'workpieceNo', 'SmallHeadThickness1', 'SmallHeadThickness2', 'InnerHole', 'SlopeThickness1', 'SlopeThickness2', 'BigEndThickness1', 'BigEndThickness2', 'BigEndHole1', 'BigEndHole2', 'TotalLength', 'TM', 'X_R', 'X_I', 'Z_R', 'Z_L', 'X2_R', 'X2_L', 'X3_R', 'X3_L', 'FEED_ACT', 'FEED_SET', 'SPINDLE_ACT', 'SPINDLE_SET', 'SPINDLE_PER', 'CODE_L1', 'CODE_L2', 'CODE_L3', 'C_R', 'C_L' ] df['diff'] = np.abs(df['X_R'].diff() / df['Z_R'].diff()) df = df.query(f'diff<0.05&8<X_R<20') if mode == 'Train': fea_agg = { 'CentralJump': ['mean'], 'QJump': ['mean'], "X_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "X_I": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "Z_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "Z_L": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "X2_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "X2_L": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "X3_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], # "X3_L":['mean','std',q2q,"max","min",'skew',kurtosis], "FEED_ACT": ['mean'], "FEED_SET": ['mean'], "SPINDLE_ACT": ['mean'], "SPINDLE_SET": ['mean'], "SPINDLE_PER": ['mean'], "C_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "C_L": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis] } else: fea_agg = { "X_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "X_I": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "Z_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "Z_L": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "X2_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "X2_L": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "X3_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], # "X3_L":['mean','std',q2q,"max","min",'skew',kurtosis], "FEED_ACT": ['mean'], "FEED_SET": ['mean'], "SPINDLE_ACT": ['mean'], "SPINDLE_SET": ['mean'], "SPINDLE_PER": ['mean'], "C_R": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis], "C_L": ['mean', 'std', q2q, "max", "min", 'skew', kurtosis] } feature = df.groupby(by=['worktime', 'workorder', 'workpieceNo', 'SmallHeadThickness1', 'SmallHeadThickness2', 'InnerHole', 'SlopeThickness1', 'SlopeThickness2', 'BigEndThickness1', 'BigEndThickness2', 'BigEndHole1', 'BigEndHole2', 'TotalLength']).agg(fea_agg).reset_index() feature.columns = ["".join(col) for col in feature.columns] return feature

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null

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null

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74bae220a062a67d3732ab11f33b1726163abbad

232

py

Python

src/services/database/exceptions.py

Fom123/fastapi-project

ce7926367824ad3836fbdbfec366f19e2c6f5b4c

[ "MIT" ]

17

2021-09-12T14:08:30.000Z

2022-03-29T12:07:31.000Z

src/services/database/exceptions.py

Fom123/fastapi-project

ce7926367824ad3836fbdbfec366f19e2c6f5b4c

[ "MIT" ]

null

src/services/database/exceptions.py

Fom123/fastapi-project

ce7926367824ad3836fbdbfec366f19e2c6f5b4c

[ "MIT" ]

4

2021-09-30T13:06:42.000Z

2022-03-29T15:05:59.000Z

from typing import Optional class UnableToDelete(Exception): def __init__(self, msg: Optional[str] = None): self.message = msg def __str__(self) -> str: return f"<Exception {self} message={self.message}>"

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5

74126015d8378f32f30a2da5d4163d542e0631a2

84

py

Python

ilms/exception.py

leVirve/iLms-nthu-API

0b57fad9782716d280c444d0ef8ae525359d921d

[ "MIT" ]

20

2018-01-21T17:16:59.000Z

2021-01-23T09:43:01.000Z

ilms/exception.py

leVirve/iLms-nthu-API

0b57fad9782716d280c444d0ef8ae525359d921d

[ "MIT" ]

null

ilms/exception.py

leVirve/iLms-nthu-API

0b57fad9782716d280c444d0ef8ae525359d921d

[ "MIT" ]

2

2021-01-23T09:48:04.000Z

2022-02-24T05:12:56.000Z

class PermissionDenied(Exception): pass class LoginError(Exception): pass

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null

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1

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5

743f167e4c26acac15fc0fe8e6d3705fac198b50

136

py

Python

src/dx/share/data/__init__.py

lmmx/dx

063e8f8cfc24dfdf09a12001b58b4017a75ea3e8

[ "MIT" ]

null

src/dx/share/data/__init__.py

lmmx/dx

063e8f8cfc24dfdf09a12001b58b4017a75ea3e8

[ "MIT" ]

2

2021-01-03T16:22:11.000Z

2021-02-07T08:41:57.000Z

src/dx/share/data/__init__.py

lmmx/dx

063e8f8cfc24dfdf09a12001b58b4017a75ea3e8

[ "MIT" ]

null

from . import __path__ as _dir_nspath from pathlib import Path as _Path __all__ = ["dir_path"] dir_path = _Path(list(_dir_nspath)[0])

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null

1

0

1

0

null

0

1

0

5

7447101681929c0bccc3e274520074bf2ba49464

10

py

Python

client.py

kbsec/SpeedRun

65fb5c26e7b4f43eff3dd5e323b5d187cfaaec52

[ "MIT" ]

1

2022-03-28T01:51:08.000Z

client.py

kbsec/SpeedRun

65fb5c26e7b4f43eff3dd5e323b5d187cfaaec52

[ "MIT" ]

null

client.py

kbsec/SpeedRun

65fb5c26e7b4f43eff3dd5e323b5d187cfaaec52

[ "MIT" ]

null

# TODO :D

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null

0

1

0

1

0

5

74aa16591535c8fc2ca1bf8936ddf6dd868a6af0

130

py

Python

forum/admin.py

WolodjaZ/django_project

8bc7bb486f51085823456f2efee8ebbc467761eb

[ "Apache-2.0" ]

null

forum/admin.py

WolodjaZ/django_project

8bc7bb486f51085823456f2efee8ebbc467761eb

[ "Apache-2.0" ]

null

forum/admin.py

WolodjaZ/django_project

8bc7bb486f51085823456f2efee8ebbc467761eb

[ "Apache-2.0" ]

null

from django.contrib import admin from forum.models import Topic, Comment admin.site.register(Topic) admin.site.register(Comment)

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40

0.823077

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0

1

0

null

0

1

0

1

0

5

7763aa47b1bedc9d47a3cc904c0790922ac51f98

125

py

Python

wirepas_networktool_messaging/proto/__init__.py

wirepas/wirepas-networktool-messaging-python

b2913d68454e2e9ab0e026f2fc03d2c982292d81

[ "Apache-2.0" ]

null

wirepas_networktool_messaging/proto/__init__.py

wirepas/wirepas-networktool-messaging-python

b2913d68454e2e9ab0e026f2fc03d2c982292d81

[ "Apache-2.0" ]

null

wirepas_networktool_messaging/proto/__init__.py

wirepas/wirepas-networktool-messaging-python

b2913d68454e2e9ab0e026f2fc03d2c982292d81

[ "Apache-2.0" ]

1

2021-09-30T06:39:41.000Z

import sys, os sys.path.append(os.path.dirname(__file__)) # Protobuf files will be compiled here from .message_pb2 import *

20.833333

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0.8

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null

0

1

0

1

0

1

0

5

77866fc20082c8617301c42148df9fc6940e32e4

191

py

Python

mealbot/misc.py

arzhna/meal-bot

384f75e4846492b78a88c0f46bac924beefb6b2e

[ "MIT" ]

null

mealbot/misc.py

arzhna/meal-bot

384f75e4846492b78a88c0f46bac924beefb6b2e

[ "MIT" ]

null

mealbot/misc.py

arzhna/meal-bot

384f75e4846492b78a88c0f46bac924beefb6b2e

[ "MIT" ]

null

import json import random def pretty_dump(data): return json.dumps(data, sort_keys=True, indent=4, separators=(',', ': ')) def pick_number(max): return random.randint(0, max - 1)

17.363636

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0

1

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null

0

null

0

1

0

1

0

5

779b126c15fbf72e2bd95e1594bd9c117ccfa832

94

py

Python

effector_database/admin.py

LuukHenk/effector_database

d9702f89ffd2a23b4f5233d4ece69c1ceebd6164

[ "MIT" ]

null

effector_database/admin.py

LuukHenk/effector_database

d9702f89ffd2a23b4f5233d4ece69c1ceebd6164

[ "MIT" ]

null

effector_database/admin.py

LuukHenk/effector_database

d9702f89ffd2a23b4f5233d4ece69c1ceebd6164

[ "MIT" ]

null

from django.contrib import admin from .models import Sequence admin.site.register(Sequence)

15.666667

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1

0

5

77c44e4bf9d0ebe2e739ad275fa9d578a86cf3cc

129

py

Python

Semana-IoT-AIG/take_picture.py

tec-csf/reto-iot-en-supermercado-2019-las-ardillas-intergalacticas

24b23ba508cb6372d826d8bd923ea7d9fddcc9d8

[ "MIT" ]

1

2020-10-10T04:28:12.000Z

Semana-IoT-AIG/take_picture.py

tec-csf/reto-iot-en-supermercado-2019-las-ardillas-intergalacticas

24b23ba508cb6372d826d8bd923ea7d9fddcc9d8

[ "MIT" ]

null

Semana-IoT-AIG/take_picture.py

tec-csf/reto-iot-en-supermercado-2019-las-ardillas-intergalacticas

24b23ba508cb6372d826d8bd923ea7d9fddcc9d8

[ "MIT" ]

null

import subprocess subprocess.call(['fswebcam --no-banner -l 2 /home/pi/Semana-IoT-AIG/current_image.png', '-1'], shell=True)

43

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5

77c5506fcc3cdedd783c1747b0057a52b9aeb40b

93

py

Python

siptrackdlib/storage/stmysql/__init__.py

sii/siptrackd

f124f750c5c826156c31ae8699e90ff95a964a02

[ "Apache-2.0" ]

null

siptrackdlib/storage/stmysql/__init__.py

sii/siptrackd

f124f750c5c826156c31ae8699e90ff95a964a02

[ "Apache-2.0" ]

14

2016-03-18T13:28:16.000Z

2019-06-02T21:11:29.000Z

siptrackdlib/storage/stmysql/__init__.py

sii/siptrackd

f124f750c5c826156c31ae8699e90ff95a964a02

[ "Apache-2.0" ]

7

2016-03-18T13:04:54.000Z

2021-06-22T10:39:04.000Z

"""A mysql based storage backend.""" from siptrackdlib.storage.stmysql.base import Storage

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77cb6fd931991dfa5f5c45bd0ca81c5bcf067e90

5,120

py

Python

resources/dot_PyCharm/system/python_stubs/-762174762/PySide/QtGui/QFileSystemModel.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

1

2020-04-20T02:27:20.000Z

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QFileSystemModel.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QFileSystemModel.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

# encoding: utf-8 # module PySide.QtGui # from C:\Python27\lib\site-packages\PySide\QtGui.pyd # by generator 1.147 # no doc # imports import PySide.QtCore as __PySide_QtCore import Shiboken as __Shiboken class QFileSystemModel(__PySide_QtCore.QAbstractItemModel): # no doc def canFetchMore(self, *args, **kwargs): # real signature unknown pass def columnCount(self, *args, **kwargs): # real signature unknown pass def data(self, *args, **kwargs): # real signature unknown pass def directoryLoaded(self, *args, **kwargs): # real signature unknown """ Signal """ pass def dropMimeData(self, *args, **kwargs): # real signature unknown pass def event(self, *args, **kwargs): # real signature unknown pass def fetchMore(self, *args, **kwargs): # real signature unknown pass def fileIcon(self, *args, **kwargs): # real signature unknown pass def fileInfo(self, *args, **kwargs): # real signature unknown pass def fileName(self, *args, **kwargs): # real signature unknown pass def filePath(self, *args, **kwargs): # real signature unknown pass def fileRenamed(self, *args, **kwargs): # real signature unknown """ Signal """ pass def filter(self, *args, **kwargs): # real signature unknown pass def flags(self, *args, **kwargs): # real signature unknown pass def hasChildren(self, *args, **kwargs): # real signature unknown pass def headerData(self, *args, **kwargs): # real signature unknown pass def iconProvider(self, *args, **kwargs): # real signature unknown pass def index(self, *args, **kwargs): # real signature unknown pass def isDir(self, *args, **kwargs): # real signature unknown pass def isReadOnly(self, *args, **kwargs): # real signature unknown pass def lastModified(self, *args, **kwargs): # real signature unknown pass def mimeData(self, *args, **kwargs): # real signature unknown pass def mimeTypes(self, *args, **kwargs): # real signature unknown pass def mkdir(self, *args, **kwargs): # real signature unknown pass def myComputer(self, *args, **kwargs): # real signature unknown pass def nameFilterDisables(self, *args, **kwargs): # real signature unknown pass def nameFilters(self, *args, **kwargs): # real signature unknown pass def parent(self, *args, **kwargs): # real signature unknown pass def permissions(self, *args, **kwargs): # real signature unknown pass def remove(self, *args, **kwargs): # real signature unknown pass def resolveSymlinks(self, *args, **kwargs): # real signature unknown pass def rmdir(self, *args, **kwargs): # real signature unknown pass def rootDirectory(self, *args, **kwargs): # real signature unknown pass def rootPath(self, *args, **kwargs): # real signature unknown pass def rootPathChanged(self, *args, **kwargs): # real signature unknown """ Signal """ pass def rowCount(self, *args, **kwargs): # real signature unknown pass def setData(self, *args, **kwargs): # real signature unknown pass def setFilter(self, *args, **kwargs): # real signature unknown pass def setIconProvider(self, *args, **kwargs): # real signature unknown pass def setNameFilterDisables(self, *args, **kwargs): # real signature unknown pass def setNameFilters(self, *args, **kwargs): # real signature unknown pass def setReadOnly(self, *args, **kwargs): # real signature unknown pass def setResolveSymlinks(self, *args, **kwargs): # real signature unknown pass def setRootPath(self, *args, **kwargs): # real signature unknown pass def size(self, *args, **kwargs): # real signature unknown pass def sort(self, *args, **kwargs): # real signature unknown pass def supportedDropActions(self, *args, **kwargs): # real signature unknown pass def timerEvent(self, *args, **kwargs): # real signature unknown pass def type(self, *args, **kwargs): # real signature unknown pass def __init__(self, *args, **kwargs): # real signature unknown pass @staticmethod # known case of __new__ def __new__(S, *more): # real signature unknown; restored from __doc__ """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass FileIconRole = PySide.QtGui.QFileSystemModel.Roles.FileIconRole FileNameRole = PySide.QtGui.QFileSystemModel.Roles.FileNameRole FilePathRole = PySide.QtGui.QFileSystemModel.Roles.FilePathRole FilePermissions = PySide.QtGui.QFileSystemModel.Roles.FilePermissions Roles = None # (!) real value is "<type 'PySide.QtGui.QFileSystemModel.Roles'>" staticMetaObject = None # (!) real value is '<PySide.QtCore.QMetaObject object at 0x0000000004C27408>'

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77f34f2de5b1a590bf4864e9f1d94a0c84361ce8

15,331

py

Python

graphs/romeo_juliet_graph_gen.py

jachym/model-m

0c157079cc287b49cc38f2defe9d42e1ab6438c5

[ "MIT" ]

null

graphs/romeo_juliet_graph_gen.py

jachym/model-m

0c157079cc287b49cc38f2defe9d42e1ab6438c5

[ "MIT" ]

null

graphs/romeo_juliet_graph_gen.py

jachym/model-m

0c157079cc287b49cc38f2defe9d42e1ab6438c5

[ "MIT" ]

null

# from graphviz import Graph from graph_gen import GraphGenerator import networkx as nx import scipy.stats as stats class RomeoAndJuliet(GraphGenerator): layer_probs = [0.9, 0.8, 0.9, 0.8, 0.7, 0.9, 1, 0.7, 0.5, 0.9, 0.9, 0.5, 0.3, 0.7] def __init__(self, **kwargs): super().__init__(**kwargs) self.G.graph['layer_probs'] = self.layer_probs # Romeo and Juliet self.G.add_node(1, label='Romeo', sex=0, age=18) self.G.add_node(2, label='Juliet', sex=1, age=13) self.G.add_edge(1, 2, label='F') # House of Montague self.G.add_node(3, label='Lord Montague', sex=0, age=58) self.G.add_node(4, label='Lady Montague', sex=1, age=40) self.G.add_edge(3, 4, label='F') self.G.add_edge(3, 1, label='F') self.G.add_edge(4, 1, label='F') self.G.add_edge(3, 4, label='D') self.G.add_edge(3, 1, label='D') self.G.add_edge(4, 1, label='D') self.G.add_node(5, label='Benvolio', sex=0, age=17) self.G.add_edge(1, 5, label='F') self.G.add_edge(3, 5, label='F') self.G.add_edge(4, 5, label='F') # House of Capulet self.G.add_node(6, label='Lord Capulet', sex=0, age=50) self.G.add_node(7, label='Lady Capulet', sex=1, age=35) self.G.add_edge(2, 6, label='F') self.G.add_edge(2, 7, label='F') self.G.add_edge(6, 7, label='F') self.G.add_edge(2, 6, label='D') self.G.add_edge(2, 7, label='D') self.G.add_edge(6, 7, label='D') self.G.add_node(8, label='Tybalt', sex=0, age=17) self.G.add_edge(8, 2, label='F') self.G.add_edge(8, 6, label='F') self.G.add_edge(8, 7, label='F') self.G.add_edge(8, 2, label='D') self.G.add_edge(8, 6, label='D') self.G.add_edge(8, 7, label='D') # House of Prince of Verona self.G.add_node(9, label='Prince Escalus', sex=0, age=60) self.G.add_node(10, label='Paris', sex=0, age=24) self.G.add_node(11, label='Mercutio', sex=0, age=20) self.G.add_edge(9, 10, label='F') self.G.add_edge(9, 10, label='D') self.G.add_edge(9, 11, label='F') self.G.add_edge(10, 11, label='F') self.G.add_edge(1, 11, label='Z') # Servants self.G.add_node(12, label='Nurse', sex=1, age=28) self.G.add_edge(2, 12, label='P') self.G.add_edge(2, 12, label='D') self.G.add_edge(2, 6, label='D') self.G.add_edge(2, 7, label='D') self.G.add_edge(2, 8, label='D') self.G.add_node(13, label='Peter', sex=0, age=60) self.G.add_edge(13, 12, label='P') self.G.add_edge(13, 12, label='D') self.G.add_edge(13, 6, label='D') self.G.add_edge(13, 7, label='D') self.G.add_edge(13, 1, label='D') self.G.add_edge(13, 8, label='D') self.G.add_node(14, label='Balthasar', sex=0, age=23) self.G.add_edge(1, 14, label='P') self.G.add_edge(1, 14, label='Z') self.G.add_edge(1, 14, label='D') self.G.add_edge(14, 3, label='D') self.G.add_edge(14, 4, label='D') self.G.add_node(15, label='Abram', sex=0, age=68) self.G.add_edge(3, 15, label='P') self.G.add_edge(4, 15, label='P') self.G.add_edge(3, 15, label='D') self.G.add_edge(4, 15, label='D') self.G.add_edge(1, 15, label='D') self.G.add_edge(14, 15, label='D') self.G.add_node(16, label='Gregory', sex=0, age=34) self.G.add_node(17, label='Sampson', sex=0, age=36) self.G.add_edge(6, 16, label='P') self.G.add_edge(7, 16, label='P') self.G.add_edge(8, 16, label='P') self.G.add_edge(8, 17, label='P') self.G.add_edge(6, 17, label='P') self.G.add_edge(7, 17, label='P') self.G.add_edge(8, 16, label='Z') self.G.add_edge(8, 17, label='Z') self.G.add_node(18, label='Page', sex=0, age=11) self.G.add_edge(18, 10, label='P') self.G.add_edge(18, 10, label='D') # Friars and Merchants self.G.add_node(19, label='Friar Lawrence', sex=0, age=68) self.G.add_node(20, label='Friar John', sex=0, age=42) self.G.add_edge(19, 20, label='P') self.G.add_edge(19, 1, label='C') self.G.add_edge(19, 2, label='C') self.G.add_edge(19, 20, label='C') self.G.add_node(21, label='Apothacary', sex=0, age=75) self.G.add_edge(21, 1, label='O') self.G.add_edge(21, 2, label='O') # Former love interest of Romeo self.G.add_node(22, label='Rosaline', sex=1, age=16) self.G.add_edge(1, 22, label='Z') # Fairy Quenn Mab visits Romeo in a dream self.G.add_node(23, label='Queen Mab', sex=1, age=20) self.G.add_edge(1, 23, label='T') # self.Grandpa Capulet self.G.add_node(24, label='Old Capulet', sex=0, age=82) self.G.add_edge(24, 2, label='F') self.G.add_edge(24, 6, label='F') self.G.add_edge(24, 7, label='F') self.G.add_edge(24, 8, label='F') # Capulets Servants self.G.add_node(25, label='Anthony', sex=0, age=38) self.G.add_node(26, label='Potpan', sex=0, age=35) self.G.add_node(27, label='Servant 1', sex=0, age=49) self.G.add_node(28, label='Servant 2', sex=0, age=31) self.G.add_edge(6, 25, label='P') self.G.add_edge(6, 26, label='P') self.G.add_edge(6, 27, label='P') self.G.add_edge(6, 28, label='P') self.G.add_edge(7, 25, label='P') self.G.add_edge(7, 26, label='P') self.G.add_edge(7, 27, label='P') self.G.add_edge(7, 28, label='P') # Petruchio is a ghost at Capulet party self.G.add_node(29, label='Ghost Petruchio', sex=0, age=27) self.G.add_edge(2, 29, label='T') # Valentine is Mercutio brother at a party self.G.add_node(30, label='Valentine', sex=0, age=26) self.G.add_edge(9, 30, label='F') self.G.add_edge(10, 30, label='F') self.G.add_edge(11, 30, label='F') # Watchmen at a fight self.G.add_node(31, label='Watchmen 1', sex=0, age=29) self.G.add_node(32, label='Watchmen 2', sex=0, age=25) self.G.add_node(33, label='Watchmen 3', sex=0, age=30) self.G.add_edge(31, 32, label='P') self.G.add_edge(31, 33, label='P') self.G.add_edge(33, 32, label='P') # Musicians at a party self.G.add_node(34, label='Musician 1', sex=0, age=39) self.G.add_node(35, label='Musician 2', sex=0, age=31) self.G.add_node(36, label='Musician 3', sex=0, age=49) self.G.add_edge(34, 35, label='P') self.G.add_edge(34, 36, label='P') self.G.add_edge(35, 36, label='P') # One-man chorus self.G.add_node(37, label='Chorus', sex=0, age=61) # party at Capulet - is now a complete subgraph self.G.add_edge(1, 2, label='K') self.G.add_edge(1, 5, label='K') self.G.add_edge(1, 6, label='K') self.G.add_edge(1, 7, label='K') self.G.add_edge(1, 8, label='K') self.G.add_edge(1, 9, label='K') self.G.add_edge(1, 10, label='K') self.G.add_edge(1, 11, label='K') self.G.add_edge(1, 16, label='K') self.G.add_edge(1, 17, label='K') self.G.add_edge(1, 22, label='K') self.G.add_edge(1, 25, label='K') self.G.add_edge(1, 26, label='K') self.G.add_edge(1, 27, label='K') self.G.add_edge(1, 28, label='K') self.G.add_edge(1, 29, label='K') self.G.add_edge(1, 34, label='K') self.G.add_edge(1, 35, label='K') self.G.add_edge(1, 36, label='K') self.G.add_edge(2, 5, label='K') self.G.add_edge(2, 6, label='K') self.G.add_edge(2, 7, label='K') self.G.add_edge(2, 8, label='K') self.G.add_edge(2, 9, label='K') self.G.add_edge(2, 10, label='K') self.G.add_edge(2, 11, label='K') self.G.add_edge(2, 16, label='K') self.G.add_edge(2, 17, label='K') self.G.add_edge(2, 22, label='K') self.G.add_edge(2, 25, label='K') self.G.add_edge(2, 26, label='K') self.G.add_edge(2, 27, label='K') self.G.add_edge(2, 28, label='K') self.G.add_edge(2, 29, label='K') self.G.add_edge(2, 34, label='K') self.G.add_edge(2, 35, label='K') self.G.add_edge(2, 36, label='K') self.G.add_edge(5, 6, label='K') self.G.add_edge(5, 7, label='K') self.G.add_edge(5, 8, label='K') self.G.add_edge(5, 9, label='K') self.G.add_edge(5, 10, label='K') self.G.add_edge(5, 11, label='K') self.G.add_edge(5, 16, label='K') self.G.add_edge(5, 17, label='K') self.G.add_edge(5, 22, label='K') self.G.add_edge(5, 25, label='K') self.G.add_edge(5, 26, label='K') self.G.add_edge(5, 27, label='K') self.G.add_edge(5, 28, label='K') self.G.add_edge(5, 29, label='K') self.G.add_edge(5, 34, label='K') self.G.add_edge(5, 35, label='K') self.G.add_edge(5, 36, label='K') self.G.add_edge(6, 7, label='K') self.G.add_edge(6, 8, label='K') self.G.add_edge(6, 8, label='K') self.G.add_edge(6, 10, label='K') self.G.add_edge(6, 11, label='K') self.G.add_edge(6, 16, label='K') self.G.add_edge(6, 17, label='K') self.G.add_edge(6, 22, label='K') self.G.add_edge(6, 25, label='K') self.G.add_edge(6, 26, label='K') self.G.add_edge(6, 27, label='K') self.G.add_edge(6, 28, label='K') self.G.add_edge(6, 29, label='K') self.G.add_edge(6, 34, label='K') self.G.add_edge(6, 35, label='K') self.G.add_edge(6, 36, label='K') self.G.add_edge(7, 8, label='K') self.G.add_edge(7, 9, label='K') self.G.add_edge(7, 10, label='K') self.G.add_edge(7, 11, label='K') self.G.add_edge(7, 16, label='K') self.G.add_edge(7, 17, label='K') self.G.add_edge(7, 22, label='K') self.G.add_edge(7, 25, label='K') self.G.add_edge(7, 26, label='K') self.G.add_edge(7, 27, label='K') self.G.add_edge(7, 28, label='K') self.G.add_edge(7, 29, label='K') self.G.add_edge(7, 34, label='K') self.G.add_edge(7, 35, label='K') self.G.add_edge(7, 36, label='K') self.G.add_edge(8, 9, label='K') self.G.add_edge(8, 10, label='K') self.G.add_edge(8, 11, label='K') self.G.add_edge(8, 16, label='K') self.G.add_edge(8, 17, label='K') self.G.add_edge(8, 22, label='K') self.G.add_edge(8, 25, label='K') self.G.add_edge(8, 26, label='K') self.G.add_edge(8, 27, label='K') self.G.add_edge(8, 28, label='K') self.G.add_edge(8, 29, label='K') self.G.add_edge(8, 34, label='K') self.G.add_edge(8, 35, label='K') self.G.add_edge(8, 36, label='K') self.G.add_edge(9, 10, label='K') self.G.add_edge(9, 11, label='K') self.G.add_edge(9, 16, label='K') self.G.add_edge(9, 17, label='K') self.G.add_edge(9, 22, label='K') self.G.add_edge(9, 25, label='K') self.G.add_edge(9, 26, label='K') self.G.add_edge(9, 27, label='K') self.G.add_edge(9, 28, label='K') self.G.add_edge(9, 29, label='K') self.G.add_edge(9, 34, label='K') self.G.add_edge(9, 35, label='K') self.G.add_edge(9, 36, label='K') self.G.add_edge(10, 11, label='K') self.G.add_edge(10, 16, label='K') self.G.add_edge(10, 17, label='K') self.G.add_edge(10, 22, label='K') self.G.add_edge(10, 25, label='K') self.G.add_edge(10, 26, label='K') self.G.add_edge(10, 27, label='K') self.G.add_edge(10, 28, label='K') self.G.add_edge(10, 29, label='K') self.G.add_edge(10, 34, label='K') self.G.add_edge(10, 35, label='K') self.G.add_edge(10, 36, label='K') self.G.add_edge(11, 16, label='K') self.G.add_edge(11, 17, label='K') self.G.add_edge(11, 22, label='K') self.G.add_edge(11, 25, label='K') self.G.add_edge(11, 26, label='K') self.G.add_edge(11, 27, label='K') self.G.add_edge(11, 28, label='K') self.G.add_edge(11, 29, label='K') self.G.add_edge(11, 34, label='K') self.G.add_edge(11, 35, label='K') self.G.add_edge(11, 36, label='K') self.G.add_edge(16, 17, label='K') self.G.add_edge(16, 22, label='K') self.G.add_edge(16, 25, label='K') self.G.add_edge(16, 26, label='K') self.G.add_edge(16, 27, label='K') self.G.add_edge(16, 28, label='K') self.G.add_edge(16, 29, label='K') self.G.add_edge(16, 34, label='K') self.G.add_edge(16, 35, label='K') self.G.add_edge(16, 36, label='K') self.G.add_edge(17, 22, label='K') self.G.add_edge(17, 25, label='K') self.G.add_edge(17, 26, label='K') self.G.add_edge(17, 27, label='K') self.G.add_edge(17, 28, label='K') self.G.add_edge(17, 29, label='K') self.G.add_edge(17, 34, label='K') self.G.add_edge(17, 35, label='K') self.G.add_edge(17, 36, label='K') self.G.add_edge(22, 25, label='K') self.G.add_edge(22, 26, label='K') self.G.add_edge(22, 27, label='K') self.G.add_edge(22, 28, label='K') self.G.add_edge(22, 29, label='K') self.G.add_edge(22, 34, label='K') self.G.add_edge(22, 35, label='K') self.G.add_edge(22, 36, label='K') self.G.add_edge(25, 26, label='K') self.G.add_edge(25, 27, label='K') self.G.add_edge(25, 28, label='K') self.G.add_edge(25, 29, label='K') self.G.add_edge(25, 34, label='K') self.G.add_edge(25, 35, label='K') self.G.add_edge(25, 36, label='K') self.G.add_edge(26, 27, label='K') self.G.add_edge(26, 28, label='K') self.G.add_edge(26, 29, label='K') self.G.add_edge(26, 34, label='K') self.G.add_edge(26, 35, label='K') self.G.add_edge(26, 36, label='K') self.G.add_edge(27, 28, label='K') self.G.add_edge(27, 29, label='K') self.G.add_edge(27, 34, label='K') self.G.add_edge(27, 35, label='K') self.G.add_edge(27, 36, label='K') self.G.add_edge(28, 29, label='K') self.G.add_edge(28, 34, label='K') self.G.add_edge(28, 35, label='K') self.G.add_edge(28, 36, label='K') self.G.add_edge(29, 34, label='K') self.G.add_edge(29, 35, label='K') self.G.add_edge(29, 36, label='K') self.G.add_edge(34, 35, label='K') self.G.add_edge(34, 36, label='K') self.G.add_edge(35, 36, label='K') # weights from trunc norm for now lower, upper = 0, 1 mu, sigma = 0.7, 0.3 for (u, v, k, d) in self.G.edges(data=True, keys=True): self.G[u][v][k]['weight'] = stats.truncnorm.rvs( (lower - mu) / sigma, (upper - mu) / sigma, loc=mu, scale=sigma)

39.512887

80

0.540343

2,839

15,331

2.802395

0.059528

0.200478

0.317748

0.420814

0.781926

0.754651

0.736425

0.038839

0.027024

0.020488

0

0.096973

0.258757

15,331

387

81

39.614987

0.603133

0.029744

0

0.018182

0

0.041936

0

1

0.00303

false

0

0.009091

0

0.018182

0

null

1

0

1

0

null

0

5

7ae33b0699d5a1b73b04ce28768aaf7b78ad31de

42

py

Python

001113StepikPyGEK/StepikPyGEK001113сh02p05st08C04_20200407.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001113StepikPyGEK/StepikPyGEK001113сh02p05st08C04_20200407.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001113StepikPyGEK/StepikPyGEK001113сh02p05st08C04_20200407.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

v = float(input()) print(v * 3600 / 1000)

14

22

0.595238

7

42

3.571429

0.857143

0

0.235294

0.190476

42

2

23

21

0.5

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

5

bb3b89bca3dfc55a7e2ce456459f325565bd70d4

42

py

Python

tests/__init__.py

HighDimensionalEconLab/econ_layers

de6b7b34168eba6a5c449498abd9574ec090e76e

[ "MIT" ]

1

2021-10-05T14:13:18.000Z

tests/__init__.py

HighDimensionalEconLab/econ_layers

de6b7b34168eba6a5c449498abd9574ec090e76e

[ "MIT" ]

22

2021-09-29T23:50:36.000Z

2022-01-14T17:58:04.000Z

tests/__init__.py

HighDimensionalEconLab/econ_layers

de6b7b34168eba6a5c449498abd9574ec090e76e

[ "MIT" ]

null

"""Unit test package for econ_layers."""

21

41

0.690476

6

42

4.666667

1

0

0.142857

42

1

42

0.777778

0.809524

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

2475fcb2aa87e90c75564816dfa485a44af0184e

45

py

Python

config.py

PerryBhandal/cross_system_livereload

ea3ac583dedb7403d2e535a4778f95e1624bc859

[ "MIT" ]

null

config.py

PerryBhandal/cross_system_livereload

ea3ac583dedb7403d2e535a4778f95e1624bc859

[ "MIT" ]

null

config.py

PerryBhandal/cross_system_livereload

ea3ac583dedb7403d2e535a4778f95e1624bc859

[ "MIT" ]

null

RELOAD_IP = "192.168.1.5" RELOAD_PORT = 5000

15

25

0.711111

9

45

3.333333

0.888889

0

0.307692

0.133333

45

2

26

22.5

0.461538

0

0.244444

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

247769b79119366534e712527c207ee0e9e34e18

34

py

Python

xcept/__init__.py

Abstract-X/xcept

cb4886f5adeb9d36b6954c8ff6f6dd0f348326f1

[ "MIT" ]

2

2021-12-19T18:49:32.000Z

2022-02-20T17:51:06.000Z

xcept/__init__.py

Abstract-X/xcept

cb4886f5adeb9d36b6954c8ff6f6dd0f348326f1

[ "MIT" ]

null

xcept/__init__.py

Abstract-X/xcept

cb4886f5adeb9d36b6954c8ff6f6dd0f348326f1

[ "MIT" ]

null

from .exception import Exception_

17

33

0.852941

4

34

7

0.75

0

0.117647

34

1

34

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

24b2d7038ca52c9b7d0bc916486f7b2c78becc81

2,513

py

Python

gcp_server/apis.py

anthonytyk/T2020_Orange1

81a10f03e682c04feb6d4f1e422099ddee20e444

[ "CC-BY-3.0" ]

null

gcp_server/apis.py

anthonytyk/T2020_Orange1

81a10f03e682c04feb6d4f1e422099ddee20e444

[ "CC-BY-3.0" ]

7

2020-06-06T00:21:32.000Z

2022-02-10T13:54:59.000Z

gcp_server/apis.py

anthonytyk/T2020_Orange1

81a10f03e682c04feb6d4f1e422099ddee20e444

[ "CC-BY-3.0" ]

null

import requests def getUserDetails(customerID): httpstring = "http://techtrek-api-gateway.ap-southeast-1.elasticbeanstalk.com/customers/"+ str(customerID) + "/details" r = requests.get(httpstring, headers={"token":"aa9a045b-4279-4d49-b099-d322a2eaecac", "identity": "Group10"}) return r.json() def getTransactions(customerID): accID = accountID(customerID) httpstring = "http://techtrek-api-gateway.ap-southeast-1.elasticbeanstalk.com/transactions/" + str(accID) + "?from=01-01-2018&to=01-10-2019" r = requests.get(httpstring, headers={"token":"aa9a045b-4279-4d49-b099-d322a2eaecac", "identity": "Group10"}) return r.json() def getMonthlyExpenditure(customerID, year, month): accID = accountID(customerID) httpstring = "http://techtrek-api-gateway.ap-southeast-1.elasticbeanstalk.com/transactions/" + str(accID) + "?from="+ str(month) + "-01-" + str(year) + "&to=01-30-2019" r = requests.get(httpstring, headers={"token":"aa9a045b-4279-4d49-b099-d322a2eaecac", "identity": "Group10"}) expenditure = 0 for i in r.json(): expenditure += float(i["amount"]) return expenditure def getMonthlyTransactions(customerID, year, month): accID = accountID(customerID) httpstring = "http://techtrek-api-gateway.ap-southeast-1.elasticbeanstalk.com/transactions/" + str(accID) + "?from="+ str(month) + "-01-" + str(year) + "&to="+ str(month)+ "-28-" + str(year) print(httpstring) r = requests.get(httpstring, headers={"token":"aa9a045b-4279-4d49-b099-d322a2eaecac", "identity": "Group10"}) print(r) return r.json() def accountID(customerID): httpstring = "http://techtrek-api-gateway.ap-southeast-1.elasticbeanstalk.com/accounts/deposit/" + str(customerID) r = requests.get(httpstring, headers={"token":"aa9a045b-4279-4d49-b099-d322a2eaecac", "identity": "Group10"}) return r.json()[0]['accountId'] def getMonthlyTransactionsBreakDown(customerID, year, month): accID = accountID(customerID) httpstring = "http://techtrek-api-gateway.ap-southeast-1.elasticbeanstalk.com/transactions/" + str(accID) + "?from="+ str(month) + "-01-" + str(year) + "&to="+ str(month)+ "-28-" + str(year) r = requests.get(httpstring, headers={"token":"aa9a045b-4279-4d49-b099-d322a2eaecac", "identity": "Group10"}) breakdown = {"F&B":0, "TRANSPORT":0, "ATM":0, "TRANSFER":0} for i in r.json(): print(i) if i['type'] == "DEBIT": breakdown[i['tag']] += float(i['amount']) return breakdown

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2,513

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0.084557

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0

0.076462

0.136092

2,513

48

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0.025641

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0.076923

0

null

0

1

0

null

0

5

24d6e9a187050bfc7eae66ea9116d8ed7293c542

220

py

Python

SirvPy/__init__.py

TechniCollins/SirvPy

df82c2081616c3653f03e24028ff5677ef492395

[ "MIT" ]

2

2020-07-14T08:13:48.000Z

2021-01-05T02:53:14.000Z

SirvPy/__init__.py

TechniCollins/SirvPy

df82c2081616c3653f03e24028ff5677ef492395

[ "MIT" ]

null

SirvPy/__init__.py

TechniCollins/SirvPy

df82c2081616c3653f03e24028ff5677ef492395

[ "MIT" ]

null

from SirvPy.Sirv import * #from SirvPy.Sirv import get_access, upload_files, search_files, storage_info, storage_stats from SirvPy.file_handling import retrieve_time, retrieve_access_token, store_time, store_access_token

73.333333

101

0.863636

33

220

5.393939

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0.168539

0.157303

0.224719

0

0.081818

220

3

101

73.333333

0.881188

0.413636

0

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0

true

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1

0

null

0

1

0

1

0

1

0

5

24d97d1dea227f317a5f9901b4bd077bf8891ab5

262

py

Python

nanome/_internal/_network/_commands/_callbacks/_complex_list.py

devanshuDesai/nanome

aabb536ef498044e97bc97ed71af940358bf36f2

[ "MIT" ]

null

nanome/_internal/_network/_commands/_callbacks/_complex_list.py

devanshuDesai/nanome

aabb536ef498044e97bc97ed71af940358bf36f2

[ "MIT" ]

null

nanome/_internal/_network/_commands/_callbacks/_complex_list.py

devanshuDesai/nanome

aabb536ef498044e97bc97ed71af940358bf36f2

[ "MIT" ]

null

def _receive_complex_list(network, arg, request_id): network._call(request_id, arg) def _receive_complexes(network, arg, request_id): for i in range(len(arg)): if arg[i]._index == -1: arg[i] = None network._call(request_id, arg)

29.111111

52

0.660305

39

262

4.128205

0.487179

0.223602

0.21118

0.236025

0.285714

0

0.004854

0.21374

262

8

53

32.75

0.776699

0

0.285714

0

1

0.285714

false

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0

null

1

0

1

0

null

0

1

0

5

24ec0b5450d3efb279ad5fecef5792d93ba4cc78

31

py

Python

autoprep/encoding/missing_encoder.py

haginot/auto-prep

b1de3eceba5b82432e7042e7e62270df467ed828

[ "Apache-2.0" ]

null

autoprep/encoding/missing_encoder.py

haginot/auto-prep

b1de3eceba5b82432e7042e7e62270df467ed828

[ "Apache-2.0" ]

4

2019-01-15T01:55:46.000Z

2019-02-21T04:15:25.000Z

autoprep/encoding/missing_encoder.py

haginot/auto-prep

b1de3eceba5b82432e7042e7e62270df467ed828

[ "Apache-2.0" ]

null

class MissingEncoder: pass

10.333333

21

0.741935

3

31

7.666667

1

0

0.225806

31

2

22

15.5

0.958333

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

7057416951e65bb8449e7ee4d83adc765eb56524

123

py

Python

EventFilter/RPCRawToDigi/python/RPCTwinMuxRawToDigi_cff.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

EventFilter/RPCRawToDigi/python/RPCTwinMuxRawToDigi_cff.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

EventFilter/RPCRawToDigi/python/RPCTwinMuxRawToDigi_cff.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

import FWCore.ParameterSet.Config as cms from EventFilter.RPCRawToDigi.RPCTwinMuxRawToDigi_cfi import RPCTwinMuxRawToDigi

30.75

80

0.894309

13

123

8.384615

0.846154

0

0.073171

123

3

81

41

0.95614

0

1

0

true

0

1

0

1

0

1

0

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1

0

null

0

1

0

1

0

1

0

5

7059655121ac33084ea64e65d7f6ba2d1b3b7420

160

py

Python

django-app/main/textanalyzers/abstractanalyzer.py

honchardev/crypto-sentiment-app

176a6ed61246490c42d2a2b7af4d45f67e3c7499

[ "MIT" ]

9

2019-07-07T02:57:50.000Z

2022-01-07T10:03:30.000Z

django-app/main/textanalyzers/abstractanalyzer.py

honchardev/crypto-sentiment-app

176a6ed61246490c42d2a2b7af4d45f67e3c7499

[ "MIT" ]

null

django-app/main/textanalyzers/abstractanalyzer.py

honchardev/crypto-sentiment-app

176a6ed61246490c42d2a2b7af4d45f67e3c7499

[ "MIT" ]

null

from abc import ABCMeta, abstractmethod class AbstractAnalyzer(metaclass=ABCMeta): @abstractmethod def analyze(self, text_content): pass

17.777778

42

0.71875

16

160

7.125

0.875

0.368421

0

0.21875

160

8

43

20

0.912

0

1

0.2

false

0.2

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

707a4f9b27f2e3e35cbea884a365f9f02e938846

112

py

Python

awesome_sso/store/minio.py

MoBagel/awesome-sso

dbcd06ac3f6fbf69d07b48073a7486879ea8011e

[ "Apache-2.0" ]

8

2021-12-13T21:45:19.000Z

2022-03-24T02:28:12.000Z

awesome_sso/store/minio.py

MoBagel/awesome-sso

dbcd06ac3f6fbf69d07b48073a7486879ea8011e

[ "Apache-2.0" ]

3

2021-11-25T08:38:13.000Z

2022-02-09T04:07:01.000Z

awesome_sso/store/minio.py

MoBagel/awesome-sso

dbcd06ac3f6fbf69d07b48073a7486879ea8011e

[ "Apache-2.0" ]

1

2022-01-04T07:43:34.000Z

from awesome_minio.minio import MinioStore as AwesomeMinioStore class MinioStore(AwesomeMinioStore): pass

18.666667

63

0.830357

12

112

7.666667

0.75

0

0.133929

112

5

64

22.4

0.948454

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true

0.333333

0

0.666667

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1

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null

0

1

0

null

0

1

0

5

70861be8d098f556a61db8c5b08a5553f7d5846b

120

py

Python

fiasko_bro/__init__.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

25

2018-01-24T10:45:35.000Z

2020-12-05T21:47:20.000Z

fiasko_bro/__init__.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

110

2018-01-21T12:25:13.000Z

2021-06-10T19:27:22.000Z

fiasko_bro/__init__.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

13

2017-12-12T22:19:01.000Z

2019-01-29T18:08:05.000Z

from .code_validator import validate, get_error_slugs from .repository_info import ProjectFolder from . import defaults

30

53

0.858333

16

120

6.1875

0.75

0

0.108333

120

3

54

40

0.925234

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

70a37ab3470ebbc194df38a9e23b6b4018d41b4e

556

py

Python

tests/kyu_6_tests/test_next_version.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

tests/kyu_6_tests/test_next_version.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

tests/kyu_6_tests/test_next_version.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

import unittest from katas.kyu_6.next_version import next_version class NextVersionTestCase(unittest.TestCase): def test_equals(self): self.assertEqual(next_version('1.2.3'), '1.2.4') def test_equals_2(self): self.assertEqual(next_version('0.9.9'), '1.0.0') def test_equals_3(self): self.assertEqual(next_version('1'), '2') def test_equals_4(self): self.assertEqual(next_version('1.2.3.4.5.6.7.8'), '1.2.3.4.5.6.7.9') def test_equals_5(self): self.assertEqual(next_version('9.9'), '10.0')

26.47619

76

0.658273

93

556

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0.22063

0.186246

0.329513

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0.312321

0.189112

0

0.086768

0.170863

556

20

77

27.8

0.670282

0

0.106115

0

0.384615

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0.384615

false

0

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0

0.615385

0

null

1

0

null

0

1

0

1

0

5

56147972a5e6111fef029e806a2cefa079c25195

502

py

Python

codenames/handlers/special_types/__init__.py

LordShowMercy/codenames-duet-bot

acfb01d94e5ac0a3df218ab4dae27500417c857d

[ "MIT" ]

1

2020-02-09T11:39:32.000Z

codenames/handlers/special_types/__init__.py

LordShowMercy/codenames-duet-bot

acfb01d94e5ac0a3df218ab4dae27500417c857d

[ "MIT" ]

10

2019-10-12T12:15:53.000Z

2020-01-23T11:49:29.000Z

codenames/handlers/special_types/__init__.py

cekc/codenames-tgbot

a97a57696aca2344eb5ce9e9056d768b998e358d

[ "MIT" ]

3

2021-04-16T11:14:19.000Z

2022-02-12T10:27:00.000Z

from codenames.handlers.special_types.deep_linked import DeepLinkedCallbackQueryHandler from codenames.handlers.special_types.deep_linked import DeepLinkedStartCommandHandler from codenames.handlers.special_types.localized import LocalizedCallbackQueryHandler from codenames.handlers.special_types.localized import LocalizedCommandHandler from codenames.handlers.special_types.localized import LocalizedInlineQueryHandler from codenames.handlers.special_types.localized import LocalizedMessageHandler

62.75

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0.914343

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9.02

0.3

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0.279379

0.372506

0.643016

0.217295

0

0.049801

502

7

88

71.714286

0.945493

0

1

0

true

0

1

0

1

0

null

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1

0

1

0

null

0

1

0

1

0

5

5637cb9a4011e99f37e6a2196e1ec854ae53cf62

44

py

Python

src/temp_data/__init__.py

caheredia/caiso_connector

a445bddd0eb953800b07accbd639864d3f8289d1

[ "MIT" ]

2

2021-09-09T12:25:40.000Z

2022-01-29T02:30:47.000Z

src/temp_data/__init__.py

caheredia/caiso_connector

a445bddd0eb953800b07accbd639864d3f8289d1

[ "MIT" ]

43

2020-06-14T02:13:23.000Z

2020-08-08T20:11:21.000Z

src/temp_data/__init__.py

caheredia/caiso_connector

a445bddd0eb953800b07accbd639864d3f8289d1

[ "MIT" ]

null

"""# file used for creation of directory"""

22

43

0.681818

6

44

5

1

0

0.159091

44

1

44

0.810811

0.840909

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

565bc6d46532ffc2df95b12333a79e9fd5475920

243

py

Python

jnumpy/__init__.py

JacobFV/jumpy

3a58e31a50460e455192f1ddb11318638092f5e6

[ "MIT" ]

null

jnumpy/__init__.py

JacobFV/jumpy

3a58e31a50460e455192f1ddb11318638092f5e6

[ "MIT" ]

null

jnumpy/__init__.py

JacobFV/jumpy

3a58e31a50460e455192f1ddb11318638092f5e6

[ "MIT" ]

1

2021-10-20T18:20:31.000Z

# Jnumpy: Jacob's numpy library for machine learning # Copyright (c) 2021 Jacob F. Valdez. Released under the MIT license. """Jnumpy: Jacob's numpy library for machine learning.""" from jnumpy.core import * import jnumpy.nn import jnumpy.rl

27

69

0.757202

37

243

4.972973

0.621622

0.119565

0.130435

0.184783

0.456522

0

0.019417

0.152263

243

8

70

30.375

0.873786

0.703704

0

1

0

true

0

1

0

1

0

null

0

1

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1

0

null

0

1

0

1

0

1

0

5

56675757a6b6c2508d347eb831cb17aac864d614

37

py

Python

owl_system/__init__.py

HammerDev99/GestionExpedienteElectronico_Version1

ab99385117b96af9dcdf795874f1973822d80070

[ "MIT" ]

null

owl_system/__init__.py

HammerDev99/GestionExpedienteElectronico_Version1

ab99385117b96af9dcdf795874f1973822d80070

[ "MIT" ]

null

owl_system/__init__.py

HammerDev99/GestionExpedienteElectronico_Version1

ab99385117b96af9dcdf795874f1973822d80070

[ "MIT" ]

null

# This directory is a Python package.

37

0.783784

6

37

4.833333

1

0

0.162162

37

1

37

0.935484

0.945946

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

56982bc37d29903f5aede782ffe0cc4714842e20

1,038

py

Python

tests/integrations/serverless/test_serverless.py

cameronmaske/sentry-python

de970486665cfe0b8bcae8ab1a9ac7695f0b3868

[ "BSD-2-Clause" ]

1

2020-11-02T11:31:01.000Z

tests/integrations/serverless/test_serverless.py

cameronmaske/sentry-python

de970486665cfe0b8bcae8ab1a9ac7695f0b3868

[ "BSD-2-Clause" ]

null

tests/integrations/serverless/test_serverless.py

cameronmaske/sentry-python

de970486665cfe0b8bcae8ab1a9ac7695f0b3868

[ "BSD-2-Clause" ]

1

2021-02-17T01:38:03.000Z

import pytest from sentry_sdk.integrations.serverless import serverless_function def test_basic(sentry_init, capture_exceptions, monkeypatch): sentry_init() exceptions = capture_exceptions() flush_calls = [] @serverless_function def foo(): monkeypatch.setattr( "sentry_sdk.Hub.current.flush", lambda: flush_calls.append(1) ) 1 / 0 with pytest.raises(ZeroDivisionError): foo() exception, = exceptions assert isinstance(exception, ZeroDivisionError) assert flush_calls == [1] def test_flush_disabled(sentry_init, capture_exceptions, monkeypatch): sentry_init() exceptions = capture_exceptions() flush_calls = [] monkeypatch.setattr("sentry_sdk.Hub.current.flush", lambda: flush_calls.append(1)) @serverless_function(flush=False) def foo(): 1 / 0 with pytest.raises(ZeroDivisionError): foo() exception, = exceptions assert isinstance(exception, ZeroDivisionError) assert flush_calls == []

22.085106

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0.688825

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1,038

6.407407

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0.060694

0.078035

0.765896

0

0.008621

0.217726

1,038

46

87

22.565217

0.843596

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0.6

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0.133333

false

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0

0.2

0

null

0

1

0

null

0

5

3b3f207fbe15a66304a63b147ac1c5d450490761

42

py

Python

tests/tests/__init__.py

chrahunt/quicken

2dd00a5f024d7b114b211aad8a2618ec8f101956

[ "MIT" ]

3

2019-11-12T17:56:08.000Z

2022-03-12T03:43:10.000Z

tests/tests/__init__.py

chrahunt/quicken

2dd00a5f024d7b114b211aad8a2618ec8f101956

[ "MIT" ]

47

2018-12-10T04:08:58.000Z

2022-03-20T14:54:36.000Z

tests/tests/__init__.py

chrahunt/quicken

2dd00a5f024d7b114b211aad8a2618ec8f101956

[ "MIT" ]

1

2019-11-12T17:55:17.000Z

"""Tests for utilities used in tests. """

14

37

0.666667

6

42

4.666667

0.833333

0

0.166667

42

2

38

21

0.8

0.809524

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

3b4245230e48b083683e26ecbd976bf2b29f19fc

44

py

Python

auth.py

beothorn/ArcoexBot

ef349d25903aeec72a31fe7c8f4775b0770ae68e

[ "MIT" ]

13

2017-08-26T15:49:32.000Z

2021-04-15T12:00:54.000Z

auth.py

beothorn/ArcoexBot

ef349d25903aeec72a31fe7c8f4775b0770ae68e

[ "MIT" ]

33

2017-08-25T07:23:12.000Z

2019-11-11T14:27:43.000Z

auth.py

beothorn/ArcoexBot

ef349d25903aeec72a31fe7c8f4775b0770ae68e

[ "MIT" ]

20

2017-08-30T07:14:07.000Z

2020-02-11T22:44:37.000Z

bot_token = "INSERT DISCORD BOT TOKEN HERE"

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py

Python

tests/conftest.py

JonasHablitzel/spaczz

9f79fe9d35a25787f926b4c4955c2650f4600073

[ "MIT" ]

153

2020-07-07T01:26:25.000Z

2022-03-31T23:47:00.000Z

tests/conftest.py

JonasHablitzel/spaczz

9f79fe9d35a25787f926b4c4955c2650f4600073

[ "MIT" ]

38

2020-07-15T02:29:34.000Z

2021-08-15T21:32:54.000Z

tests/conftest.py

JonasHablitzel/spaczz

9f79fe9d35a25787f926b4c4955c2650f4600073

[ "MIT" ]

20

2020-07-07T15:41:05.000Z

2022-02-21T19:28:22.000Z

"""Package-wide test fixures.""" from pathlib import Path import pytest import spacy from spacy.language import Language @pytest.fixture(scope="session") def fixtures() -> Path: """Path to test fixtures.""" return Path(__file__).parent / "fixtures" @pytest.fixture(scope="session") def model() -> Language: """Medium English Core spaCy model.""" return spacy.load("en_core_web_md") @pytest.fixture(scope="session") def nlp() -> Language: """Empty spaCy English language pipeline.""" return spacy.blank("en")

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8e8e02232503d1ceb0e33041b46d8f0516209684

527

py

Python

srag_data/_nbdev.py

victor-marchesini/covid_colab

ab529d341c99f6e812d902f12eb78952bd094764

[ "Apache-2.0" ]

null

srag_data/_nbdev.py

victor-marchesini/covid_colab

ab529d341c99f6e812d902f12eb78952bd094764

[ "Apache-2.0" ]

null

srag_data/_nbdev.py

victor-marchesini/covid_colab

ab529d341c99f6e812d902f12eb78952bd094764

[ "Apache-2.0" ]

null

# AUTOGENERATED BY NBDEV! DO NOT EDIT! __all__ = ["index", "modules", "custom_doc_links", "git_url"] index = {"get_last_bd_srag_csv_url": "00_srag_data.ipynb", "get_srag_data": "00_srag_data.ipynb", "get_cities_states_dictionaries": "00_srag_data.ipynb", "treat_srag_data": "00_srag_data.ipynb"} modules = ["srag_data.py"] doc_url = "https://victor-marchesini.github.io/srag_data/" git_url = "https://github.com/victor-marchesini/srag_data/tree/master/" def custom_doc_links(name): return None

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8ea46a6450b01cc21ea913542cb0f486e4415c62

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py

Python

5-module/module/testmodule.py

quockhai/PythonByExamples

eda1abfc7405af4c894852d7dd298ef52b935006

[ "MIT" ]

null

5-module/module/testmodule.py

quockhai/PythonByExamples

eda1abfc7405af4c894852d7dd298ef52b935006

[ "MIT" ]

null

5-module/module/testmodule.py

quockhai/PythonByExamples

eda1abfc7405af4c894852d7dd298ef52b935006

[ "MIT" ]

null

#!/usr/bin/env python3 def printModuleName(): print('This is: Test Module.')

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py

Python

robolfd/__init__.py

mohanksriram/robolfd

6db4d0ed469b177dd03e2bb86dd925f12604719a

[ "Apache-2.0" ]

null

robolfd/__init__.py

mohanksriram/robolfd

6db4d0ed469b177dd03e2bb86dd925f12604719a

[ "Apache-2.0" ]

null

robolfd/__init__.py

mohanksriram/robolfd

6db4d0ed469b177dd03e2bb86dd925f12604719a

[ "Apache-2.0" ]

null

"""Robolfd is a framework for robot learning from demonstration.""" # Make __version__ accessible. from robolfd._metadata import __version__ # Internal core import. from robolfd.core import Learner

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8ebbb5248e62970988d3e4896e4eb9aea8417d45

178

py

Python

web/transiq/team/search.py

manibhushan05/transiq

763fafb271ce07d13ac8ce575f2fee653cf39343

[ "Apache-2.0" ]

null

web/transiq/team/search.py

manibhushan05/transiq

763fafb271ce07d13ac8ce575f2fee653cf39343

[ "Apache-2.0" ]

14

2020-06-05T23:06:45.000Z

2022-03-12T00:00:18.000Z

web/transiq/team/search.py

manibhushan05/transiq

763fafb271ce07d13ac8ce575f2fee653cf39343

[ "Apache-2.0" ]

null

from __future__ import absolute_import from team.models import ManualBooking def booking_search(): bookings = ManualBooking.objects.filter(booking_id__search='AaHO06001')

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5

8ec26b6bebf74d32f34f3933b8e5ca25db533d5f

108

py

Python

infiniteloop.py

Speedy905/randomscripts

d98a5b7b9307065dae74f6ec997b55a6902884e3

[ "MIT" ]

null

infiniteloop.py

Speedy905/randomscripts

d98a5b7b9307065dae74f6ec997b55a6902884e3

[ "MIT" ]

null

infiniteloop.py

Speedy905/randomscripts

d98a5b7b9307065dae74f6ec997b55a6902884e3

[ "MIT" ]

null

# Prints out an infinite loop of hello world # That's literally it. while True: print ("Hello World")

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8ecc79a137529066fa829898b7b9fd27211649ff

246

py

Python

pcapkit/const/ipx/__init__.py

chellvs/PyPCAPKit

f8d66f9955904196b71a6143e49ff4ec4c4922dc

[ "BSD-3-Clause" ]

131

2018-10-12T09:45:44.000Z

2022-03-31T18:58:14.000Z

pcapkit/const/ipx/__init__.py

chellvs/PyPCAPKit

f8d66f9955904196b71a6143e49ff4ec4c4922dc

[ "BSD-3-Clause" ]

39

2018-08-18T12:15:04.000Z

2022-03-07T20:28:08.000Z

pcapkit/const/ipx/__init__.py

chellvs/PyPCAPKit

f8d66f9955904196b71a6143e49ff4ec4c4922dc

[ "BSD-3-Clause" ]

23

2018-10-12T09:45:52.000Z

2022-03-05T15:23:00.000Z

# -*- coding: utf-8 -*- # pylint: disable=unused-import """IPX constant enumerations.""" from pcapkit.const.ipx.packet import Packet as IPX_Packet from pcapkit.const.ipx.socket import Socket as IPX_Socket __all__ = ['IPX_Packet', 'IPX_Socket']

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py

Python

src/awkward/_v2/operations/reducers/__init__.py

BioGeek/awkward-1.0

0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2

[ "BSD-3-Clause" ]

null

src/awkward/_v2/operations/reducers/__init__.py

BioGeek/awkward-1.0

0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2

[ "BSD-3-Clause" ]

null

src/awkward/_v2/operations/reducers/__init__.py

BioGeek/awkward-1.0

0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2

[ "BSD-3-Clause" ]

null

# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE from awkward._v2.operations.reducers.ak_count import count # noqa: F401 from awkward._v2.operations.reducers.ak_count_nonzero import count_nonzero # noqa: F401 from awkward._v2.operations.reducers.ak_sum import sum # noqa: F401 from awkward._v2.operations.reducers.ak_prod import prod # noqa: F401 from awkward._v2.operations.reducers.ak_any import any # noqa: F401 from awkward._v2.operations.reducers.ak_all import all # noqa: F401 from awkward._v2.operations.reducers.ak_min import min # noqa: F401 from awkward._v2.operations.reducers.ak_max import max # noqa: F401 from awkward._v2.operations.reducers.ak_ptp import ptp # noqa: F401 from awkward._v2.operations.reducers.ak_argmin import argmin # noqa: F401 from awkward._v2.operations.reducers.ak_argmax import argmax # noqa: F401 from awkward._v2.operations.reducers.ak_moment import moment # noqa: F401 from awkward._v2.operations.reducers.ak_mean import mean # noqa: F401 from awkward._v2.operations.reducers.ak_var import var # noqa: F401 from awkward._v2.operations.reducers.ak_std import std # noqa: F401 from awkward._v2.operations.reducers.ak_covar import covar # noqa: F401 from awkward._v2.operations.reducers.ak_corr import corr # noqa: F401 from awkward._v2.operations.reducers.ak_linear_fit import linear_fit # noqa: F401 from awkward._v2.operations.reducers.ak_softmax import softmax # noqa: F401

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d91ff157d04047d6fe7ff8d220e1f21af9d25ccc

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py

Python

Packs/Tanium/Integrations/Tanium/Tanium_test.py

diCagri/content

c532c50b213e6dddb8ae6a378d6d09198e08fc9f

[ "MIT" ]

799

2016-08-02T06:43:14.000Z

2022-03-31T11:10:11.000Z

Packs/Tanium/Integrations/Tanium/Tanium_test.py

diCagri/content

c532c50b213e6dddb8ae6a378d6d09198e08fc9f

[ "MIT" ]

9,317

2016-08-07T19:00:51.000Z

2022-03-31T21:56:04.000Z

Packs/Tanium/Integrations/Tanium/Tanium_test.py

diCagri/content

c532c50b213e6dddb8ae6a378d6d09198e08fc9f

[ "MIT" ]

1,297

2016-08-04T13:59:00.000Z

2022-03-31T23:43:06.000Z

RAW_JSON_RESPONSE_1 = [ { "row0": [ { "column.display_name": "header1", "column.result_type": "DataSize", "column.values": [ "col1" ], "column.what_hash": 0 }, { "column.display_name": "header2", "column.result_type": "NumericDecimal", "column.values": [ "col2" ], "column.what_hash": 0 }, { "column.display_name": "header3", "column.result_type": "NumericDecimal", "column.values": [ "col3" ], "column.what_hash": 0 } ] }, { "row1": [ { "column.display_name": "header1", "column.result_type": "DataSize", "column.values": [ "col1" ], "column.what_hash": 0 }, { "column.display_name": "header2", "column.result_type": "NumericDecimal", "column.values": [ "col2" ], "column.what_hash": 0 }, { "column.display_name": "header3", "column.result_type": "NumericDecimal", "column.values": [ "col3" ], "column.what_hash": 0 } ] } ] RAW_JSON_RESPONSE_2 = [ { "row0": [ { "column.display_name": "header1", "column.result_type": "DataSize", "column.values": [ "col1" ], "column.what_hash": 0 }, { "column.display_name": "header2", "column.result_type": "NumericDecimal", "column.values": [ "col2_1", "col2_2" ], "column.what_hash": 0 }, { "column.display_name": "header3", "column.result_type": "NumericDecimal", "column.values": [ "col3" ], "column.what_hash": 0 } ] }, { "row1": [ { "column.display_name": "header1", "column.result_type": "DataSize", "column.values": [ "col1" ], "column.what_hash": 0 }, { "column.display_name": "header2", "column.result_type": "NumericDecimal", "column.values": [ "col2" ], "column.what_hash": 0 }, { "column.display_name": "header3", "column.result_type": "NumericDecimal", "column.values": [ "col3" ], "column.what_hash": 0 } ] } ] RAW_JSON_RESPONSE_3 = [ { "row0": [ { "column.display_name": "header1", "column.result_type": "DataSize", "column.values": [ None ], "column.what_hash": 0 }, { "column.display_name": "header2", "column.result_type": "NumericDecimal", "column.values": [ "data_2", ], "column.what_hash": 0 }, { "column.display_name": "header3", "column.result_type": "NumericDecimal", "column.values": [ "data_3" ], "column.what_hash": 0 }, { "column.display_name": "header4", "column.result_type": "NumericDecimal", "column.values": [ "data_4" ], "column.what_hash": 0 }, { "column.display_name": "header5", "column.result_type": "NumericDecimal", "column.values": [ "data_5_1", "data_5_2" ], "column.what_hash": 0 }, { "column.display_name": "header6", "column.result_type": "NumericDecimal", "column.values": [ "data_6" ], "column.what_hash": 0 }, { "column.display_name": "header7", "column.result_type": "NumericDecimal", "column.values": [ "data_7" ], "column.what_hash": 0 }, { "column.display_name": "header8", "column.result_type": "NumericDecimal", "column.values": [ "data_8_1", "data_8_2", "data_8_3" ], "column.what_hash": 0 }, ] }, ] RESULT_DICT_1 = [ { "header1": "col1", "header2": "col2", "header3": "col3" }, { "header1": "col1", "header2": "col2", "header3": "col3" } ] RESULT_DICT_2 = [ { "header1": "col1", "header2": "col2_1\ncol2_2", "header3": "col3" }, { "header1": "col1", "header2": "col2", "header3": "col3" } ] RESULT_DICT_3 = [ { "header1": None, "header2": "data_2", "header3": "data_3", "header4": "data_4", "header5": "data_5_1\ndata_5_2", "header6": "data_6", "header7": "data_7", "header8": "data_8_1\ndata_8_2\ndata_8_3" } ] RESULT_DICT_4 = [ { "header1": "col1", "header2": "col2_1\ncol2_2\ncol2_3", "header3": "col3" }, { "header1": "col1", "header2": "col2", "header3": "col3" } ] CONTEXT_RESULT_DICT_2 = [ { "header1": "col1", "header2": ["col2_1", "col2_2"], "header3": "col3" }, { "header1": "col1", "header2": "col2", "header3": "col3" } ] CONTEXT_RESULT_DICT_3 = [ { "header1": None, "header2": "data_2", "header3": "data_3", "header4": "data_4", "header5": ["data_5_1", "data_5_2"], "header6": "data_6", "header7": "data_7", "header8": ["data_8_1", "data_8_2", "data_8_3"] } ] CONTEXT_RESULT_DICT_4 = [ { "header1": "col1", "header2": ["col2_1", "col2_2", "col2_3"], "header3": "col3" }, { "header1": "col1", "header2": "col2", "header3": "col3" } ] def test_raw_response_to_json_1(): from Tanium import raw_response_to_json res = raw_response_to_json(RAW_JSON_RESPONSE_1) assert res == RESULT_DICT_1 def test_raw_response_to_json_2(): from Tanium import raw_response_to_json res = raw_response_to_json(RAW_JSON_RESPONSE_2) assert res == RESULT_DICT_2 def test_raw_response_to_json_3(): from Tanium import raw_response_to_json res = raw_response_to_json(RAW_JSON_RESPONSE_3) assert res == RESULT_DICT_3 def test_format_context(): from Tanium import format_context res = format_context(RESULT_DICT_2) assert res == CONTEXT_RESULT_DICT_2 res = format_context(RESULT_DICT_3) assert res == CONTEXT_RESULT_DICT_3 res = format_context(RESULT_DICT_4) assert res == CONTEXT_RESULT_DICT_4

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d949bb4fc5c1c2a804da63fc37a1680183a0fe79

178

py

Python

profiles_api/admin.py

nantthet739/profiles-rest-api-new

c449108360ed7a39f8ffcefa38b32bca57d732c2

[ "MIT" ]

null

profiles_api/admin.py

nantthet739/profiles-rest-api-new

c449108360ed7a39f8ffcefa38b32bca57d732c2

[ "MIT" ]

null

profiles_api/admin.py

nantthet739/profiles-rest-api-new

c449108360ed7a39f8ffcefa38b32bca57d732c2

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from profiles_api import models #to be able to access from admin portal admin.site.register(models.UserProfile)

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py

Python

src/image_caption_machine/__init__.py

brandontrabucco/ros-image-captioner

5fd18317f2ec600cdc61628028292a22eef45fc2

[ "MIT" ]

3

2018-09-08T10:28:59.000Z

2019-09-08T00:11:33.000Z

src/image_caption_machine/__init__.py

brandontrabucco/ros-image-captioner

5fd18317f2ec600cdc61628028292a22eef45fc2

[ "MIT" ]

null

src/image_caption_machine/__init__.py

brandontrabucco/ros-image-captioner

5fd18317f2ec600cdc61628028292a22eef45fc2

[ "MIT" ]

2

2019-04-17T17:24:28.000Z

2019-06-10T18:16:44.000Z

"""Author: Brandon Trabucco. Expose a public API for the Image Captioner. """ from image_caption_machine.machine import Client as ImageCaptionMachine

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5

795260edc9b41a9d3c0c76ccf0622e352e51fd4a

132

py

Python

myproj/api/routes/hello_v1/__init__.py

jbarguil/python-rest-server

d050d095555c9bad3e2e94b4e0c51075cc6ad3bc

[ "MIT" ]

null

myproj/api/routes/hello_v1/__init__.py

jbarguil/python-rest-server

d050d095555c9bad3e2e94b4e0c51075cc6ad3bc

[ "MIT" ]

null

myproj/api/routes/hello_v1/__init__.py

jbarguil/python-rest-server

d050d095555c9bad3e2e94b4e0c51075cc6ad3bc

[ "MIT" ]

null

"""v1 of the Hello API """ from .api import api, blueprint from .hello import namespace as ns_hello api.add_namespace(ns_hello)

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79687fb6fb10526acd265410a1145ee31aa05114

75

py

Python

app/application.py

celinegilet/python-kata

bea1e56bf6cb4574200fd5c2688a78608e798975

[ "MIT" ]

null

app/application.py

celinegilet/python-kata

bea1e56bf6cb4574200fd5c2688a78608e798975

[ "MIT" ]

null

app/application.py

celinegilet/python-kata

bea1e56bf6cb4574200fd5c2688a78608e798975

[ "MIT" ]

null

class Application(object): def say_hello(self): return "Hello"

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null

0

1

0

null

0

1

0

1

0

5

799511b4437eca2d816e0cf228a3f3208862f42f

62

py

Python

neuro_pypes/interfaces/fsl/__init__.py

Neurita/pypes

e88d27ebba842e8fa1f36b52ca12a0b9d5777e89

[ "Apache-2.0" ]

14

2015-11-30T19:32:08.000Z

2021-11-16T05:35:20.000Z

neuro_pypes/interfaces/fsl/__init__.py

Neurita/pypes

e88d27ebba842e8fa1f36b52ca12a0b9d5777e89

[ "Apache-2.0" ]

42

2015-11-28T23:18:42.000Z

2021-02-23T01:45:02.000Z

neuro_pypes/interfaces/fsl/__init__.py

Neurita/pypes

e88d27ebba842e8fa1f36b52ca12a0b9d5777e89

[ "Apache-2.0" ]

9

2015-12-09T17:10:59.000Z

2022-01-03T17:26:40.000Z

from neuro_pypes.interfaces.fsl.epi import Eddy, EddyCorrect

20.666667

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1

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0

1

0

1

0

1

0

5

79dc54cb3eedb1cfc63fa64d59e155abe95062a2

134

py

Python

projetos/views.py

techtuxbr/FsocietyBrasilIdeasPlace

6cb3606542897a4ec95207a30c06534cd047fa5b

[ "MIT" ]

null

projetos/views.py

techtuxbr/FsocietyBrasilIdeasPlace

6cb3606542897a4ec95207a30c06534cd047fa5b

[ "MIT" ]

null

projetos/views.py

techtuxbr/FsocietyBrasilIdeasPlace

6cb3606542897a4ec95207a30c06534cd047fa5b

[ "MIT" ]

null

from django.shortcuts import render def contact(request): return render(request,'about/contact.html') # Create your views here.

19.142857

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134

5.666667

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134

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48

22.333333

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0

0.333333

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null

0

1

0

null

0

1

0

1

0

5

8dc77e8eabb63838c3fdf576f05475c3fb50af16

364

py

Python

guid/guid.py

logileifs/guid

719e8395ee4b7cff578a11a7fd32ed6ec1490cbb

[ "MIT" ]

1

2020-01-19T19:57:13.000Z

guid/guid.py

logileifs/guid

719e8395ee4b7cff578a11a7fd32ed6ec1490cbb

[ "MIT" ]

null

guid/guid.py

logileifs/guid

719e8395ee4b7cff578a11a7fd32ed6ec1490cbb

[ "MIT" ]

null

from uuid import UUID from uuid import uuid4 from base64 import urlsafe_b64decode from base64 import urlsafe_b64encode def uuid_to_guid(uuid): return urlsafe_b64encode(uuid.bytes).rstrip(b'=').decode() def guid_to_uuid(slug): return UUID(bytes=urlsafe_b64decode(slug + '==')) class GUID(): def __new__(self): return uuid_to_guid(uuid4())

20.222222

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364

4.884615

0.384615

0.062992

0.110236

0.181102

0

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0.159341

364

17

63

21.411765

0.784314

0

0.008242

0

1

0.272727

false

0

0.363636

0.272727

1

0

null

0

1

0

null

0

1

0

1

0

5

30a3f845185bb4b60a852dbda4ba47a531d5a5d8

81

py

Python

vnpy/api/tap/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

19,529

2015-03-02T12:17:35.000Z

2022-03-31T17:18:27.000Z

vnpy/api/tap/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

2,186

2015-03-04T23:16:33.000Z

2022-03-31T03:44:01.000Z

vnpy/api/tap/__init__.py

funrunskypalace/vnpy

2d87aede685fa46278d8d3392432cc127b797926

[ "MIT" ]

8,276

2015-03-02T05:21:04.000Z

2022-03-31T13:13:13.000Z

from .vntapmd import MdApi from .vntaptd import TdApi from .tap_constant import *

27

0.814815

12

81

5.416667

0.666667

0

0.135802

81

3

27

0.928571

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

30df4f86cb3f64c689d1a8b42768268f478ade53

253

py

Python

gefapi/routes/api/v1/__init__.py

ConservationInternational/trends.earth-API

120042c6eb17734404f739d1764718c8332c9e03

[ "X11" ]

null

gefapi/routes/api/v1/__init__.py

ConservationInternational/trends.earth-API

120042c6eb17734404f739d1764718c8332c9e03

[ "X11" ]

4

2020-04-27T12:46:56.000Z

2021-02-25T12:29:53.000Z

gefapi/routes/api/v1/__init__.py

ConservationInternational/trends.earth-API

120042c6eb17734404f739d1764718c8332c9e03

[ "X11" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function from flask import Blueprint v1_endpoints = Blueprint('v1_endpoints', __name__) import gefapi.routes.api.v1.gef_api_router # noqa: autoimport

28.111111

62

0.841897

34

253

5.617647

0.558824

0.157068

0.251309

0

0.013333

0.110672

253

8

63

31.625

0.835556

0.063241

0

0.051064

0

1

0

false

0

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0

0.833333

0.5

0

null

0

1

0

1

0

null

0

1

0

1

0

5

eb9869a73a9da55432c96a2050a5902602b33415

51

py

Python

social/backends/naver.py

raccoongang/python-social-auth

81c0a542d158772bd3486d31834c10af5d5f08b0

[ "BSD-3-Clause" ]

1,987

2015-01-01T16:12:45.000Z

2022-03-29T14:24:25.000Z

social/backends/naver.py

raccoongang/python-social-auth

81c0a542d158772bd3486d31834c10af5d5f08b0

[ "BSD-3-Clause" ]

731

2015-01-01T22:55:25.000Z

2022-03-10T15:07:51.000Z

virtual/lib/python3.6/site-packages/social/backends/naver.py

dennismwaniki67/awards

80ed10541f5f751aee5f8285ab1ad54cfecba95f

[ "MIT" ]

1,082

2015-01-01T16:27:26.000Z

2022-03-22T21:18:33.000Z

from social_core.backends.naver import NaverOAuth2

25.5

50

0.882353

7

51

6.285714

1

0

0.021277

0.078431

51

1

51

0.914894

0

1

0

true

0

1

0

1

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null

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null

0

1

0

1

0

1

0

5

ebb4f88234d59c33d736abbb9b1faf17558df1a5

100

py

Python

tests/test_import.py

BlockResearchGroup/compas_skeleton

f05916fc044d5ada3227c3037d6b425f49aa12c0

[ "MIT" ]

4

2020-07-05T17:12:44.000Z

2021-11-13T09:30:23.000Z

tests/test_import.py

BlockResearchGroup/compas_skeleton

f05916fc044d5ada3227c3037d6b425f49aa12c0

[ "MIT" ]

1

2020-05-15T00:08:16.000Z

2020-05-15T09:11:50.000Z

tests/test_import.py

BlockResearchGroup/compas_skeleton

f05916fc044d5ada3227c3037d6b425f49aa12c0

[ "MIT" ]

null

import compas_skeleton def test_trivial(): print(compas_skeleton.__version__) assert True

14.285714

38

0.77

12

100

5.833333

0.833333

0.4

0

0.17

100

6

39

16.666667

0.843373

0

0.25

1

0.25

true

0

0.25

0

0.5

0.25

1

0

null

1

0

1

0

null

0

1

0

5

ebc6c006fdfad5160002f0a01903122d08341450

35

py

Python

run.py

cash/happybot

79f8b25f6d0d1eb23c8da2ce96a3dd2ab577190e

[ "BSD-3-Clause" ]

null

run.py

cash/happybot

79f8b25f6d0d1eb23c8da2ce96a3dd2ab577190e

[ "BSD-3-Clause" ]

null

run.py

cash/happybot

79f8b25f6d0d1eb23c8da2ce96a3dd2ab577190e

[ "BSD-3-Clause" ]

null

from happybot import app app.run()

11.666667

24

0.771429

6

35

4.5

0.833333

0

0.142857

35

2

25

17.5

0.9

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ebcced0be444ded133512f87d94a07c90b77d7a1

53

py

Python

tests/__init__.py

sairamreddy94/oopt-gnpy

e9b287ceaccc7f701af976012701c1b30118aff6

[ "BSD-3-Clause" ]

1

2020-05-24T03:28:56.000Z

tests/__init__.py

sairamreddy94/oopt-gnpy

e9b287ceaccc7f701af976012701c1b30118aff6

[ "BSD-3-Clause" ]

null

tests/__init__.py

sairamreddy94/oopt-gnpy

e9b287ceaccc7f701af976012701c1b30118aff6

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python from .test_utilities import *

13.25

29

0.735849

8

53

4.75

1

0

0.132075

53

3

30

17.666667

0.826087

0.377358

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5