xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

dfdf7cb75960e3d35701389dae68f2ac0579389d

1,439

py

Python

neighbourhoodApp/migrations/0008_auto_20200721_0009.py

lornakamau/neighbourhood

f8c8bb404b6b913673989a38855e0c3386e82163

[ "MIT" ]

null

neighbourhoodApp/migrations/0008_auto_20200721_0009.py

lornakamau/neighbourhood

f8c8bb404b6b913673989a38855e0c3386e82163

[ "MIT" ]

4

2021-03-30T14:03:46.000Z

2021-09-22T19:28:56.000Z

neighbourhoodApp/migrations/0008_auto_20200721_0009.py

lornakamau/neighbourhood

f8c8bb404b6b913673989a38855e0c3386e82163

[ "MIT" ]

null

# Generated by Django 3.0.8 on 2020-07-20 21:09 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('neighbourhoodApp', '0007_amenity_business_neighbourhood_post'), ] operations = [ migrations.RemoveField( model_name='amenity', name='neighbourhood', ), migrations.RemoveField( model_name='business', name='neighbourhood', ), migrations.RemoveField( model_name='neighbourhood', name='admin', ), migrations.RemoveField( model_name='neighbourhood', name='occupants', ), migrations.RemoveField( model_name='occupant', name='user', ), migrations.RemoveField( model_name='post', name='neighbourhood', ), migrations.RemoveField( model_name='post', name='occupant', ), migrations.DeleteModel( name='Admin', ), migrations.DeleteModel( name='Amenity', ), migrations.DeleteModel( name='Business', ), migrations.DeleteModel( name='Neighbourhood', ), migrations.DeleteModel( name='Occupant', ), migrations.DeleteModel( name='Post', ), ]

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py

Python

setup.py

zhy0313/Tback

d75855286b7f8b90f0c74931d0a05889005d86b9

[ "MIT" ]

3

2018-09-07T11:15:42.000Z

2020-12-19T13:12:17.000Z

setup.py

zhy0313/Tback

d75855286b7f8b90f0c74931d0a05889005d86b9

[ "MIT" ]

null

setup.py

zhy0313/Tback

d75855286b7f8b90f0c74931d0a05889005d86b9

[ "MIT" ]

2

2020-03-01T14:33:42.000Z

2020-12-19T13:12:19.000Z

# -*- coding: utf-8 -*- """ TradingStrategy __author__ = ‘Administrator‘ __mtime__ = 2016/12/19 """

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py

Python

simple_ckan/action.py

macnetic/simple-ckan

0d9d70c6658ad24e71edc0c674bfd3922b4a67b7

[ "MIT" ]

null

simple_ckan/action.py

macnetic/simple-ckan

0d9d70c6658ad24e71edc0c674bfd3922b4a67b7

[ "MIT" ]

null

simple_ckan/action.py

macnetic/simple-ckan

0d9d70c6658ad24e71edc0c674bfd3922b4a67b7

[ "MIT" ]

null

from .get import CKANGet from .ext.datastore import CKANDatastore class CKANAction(object): def __init__(self, ckan): self.ckan = ckan self.get = CKANGet(self)

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a02df76b20f0b6f02567b38638c3d081618d58cd

135

py

Python

pymzid/__main__.py

Lau-Lab/pymzid

69dda59a125c00cbeed9830b79e889c26918912c

[ "MIT" ]

null

pymzid/__main__.py

Lau-Lab/pymzid

69dda59a125c00cbeed9830b79e889c26918912c

[ "MIT" ]

null

pymzid/__main__.py

Lau-Lab/pymzid

69dda59a125c00cbeed9830b79e889c26918912c

[ "MIT" ]

null

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

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a03590f54d8b03c2bee4276a20b3bf402d26b06c

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py

Python

setup.py

adamchainz/ec2_metadata

72d38b21c23da52e1a248837e545b597dcf758e6

[ "MIT" ]

284

2021-08-28T01:31:41.000Z

2022-03-30T16:15:59.000Z

setup.py

adamchainz/ec2_metadata

72d38b21c23da52e1a248837e545b597dcf758e6

[ "MIT" ]

84

2021-12-31T10:33:06.000Z

2022-03-20T13:17:32.000Z

setup.py

adamchainz/ec2_metadata

72d38b21c23da52e1a248837e545b597dcf758e6

[ "MIT" ]

27

2021-07-12T06:52:14.000Z

2022-03-05T10:26:17.000Z

from __future__ import annotations from setuptools import setup setup()

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a04effcd27c5a951f468bf672b694fa6ca547367

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py

Python

tests/test_aws.py

kosyachniy/lib

4174eb7b91b2c5908b47b353cc55cc617b74799f

[ "MIT" ]

null

tests/test_aws.py

kosyachniy/lib

4174eb7b91b2c5908b47b353cc55cc617b74799f

[ "MIT" ]

null

tests/test_aws.py

kosyachniy/lib

4174eb7b91b2c5908b47b353cc55cc617b74799f

[ "MIT" ]

null

from libdev.aws import upload_file FILE = 'tests/test_aws.py' def test_upload_file(): assert upload_file(FILE)[:8] == 'https://' with open(FILE, 'rb') as file: assert upload_file(file, file_type='Py')[-3:] == '.py' # TODO: upload_file('https://s1.1zoom.ru/big0/621/359909-svetik.jpg')

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2636aa955afd91f33c832b7c75089414fd40dfb8

212

py

Python

is_it_rick/__main__.py

That-Cool-Coder/isitrick

8e610e91afac4db007c9883359d9127214cb8563

[ "MIT" ]

null

is_it_rick/__main__.py

That-Cool-Coder/isitrick

8e610e91afac4db007c9883359d9127214cb8563

[ "MIT" ]

7

2021-07-19T06:52:02.000Z

2021-08-09T07:48:31.000Z

is_it_rick/__main__.py

That-Cool-Coder/isitrick

8e610e91afac4db007c9883359d9127214cb8563

[ "MIT" ]

null

from is_it_rick.main_app import app, start_background_tasks from is_it_rick import config if __name__ == '__main__': start_background_tasks() app.run(host='0.0.0.0', port=config.TESTING_PORT, debug=True)

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4

cd2126b114d1f5b321ffca47dd6e01d8ad53c9cf

126

py

Python

977. Squares of a Sorted Array/main.py

amanchadha/LeetCode

20dddf0616351ad399f0fa03cb6a2b5cbdd25279

[ "MIT" ]

1

2021-07-18T06:18:40.000Z

977. Squares of a Sorted Array/main.py

amanchadha/LeetCode

20dddf0616351ad399f0fa03cb6a2b5cbdd25279

[ "MIT" ]

null

977. Squares of a Sorted Array/main.py

amanchadha/LeetCode

20dddf0616351ad399f0fa03cb6a2b5cbdd25279

[ "MIT" ]

3

2020-09-27T05:48:30.000Z

2021-08-13T10:07:08.000Z

class Solution: def sortedSquares(self, A: List[int]) -> List[int]: A = [i*i for i in A] return sorted(A)

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cd4834eb0024f1307c4a52686651a3fa42c6045b

262

py

Python

adlermanager/__init__.py

evilham/prometheus-adlermanager

2556982526e306b7302e85e5da89ec9f987cbada

[ "MIT" ]

1

2019-11-12T23:12:45.000Z

adlermanager/__init__.py

evilham/prometheus-adlermanager

2556982526e306b7302e85e5da89ec9f987cbada

[ "MIT" ]

null

adlermanager/__init__.py

evilham/prometheus-adlermanager

2556982526e306b7302e85e5da89ec9f987cbada

[ "MIT" ]

null

from .Config import Config from .AdlerManagerSSHProtocol import AdlerManagerSSHProtocol from .AdlerManagerTokenResource import AdlerManagerTokenResource from .SitesManager import SitesManager from .conch_helpers import conch_helper from .WebRoot import web_root

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cd9a24f9c8963bd40191425a3ffd603fc2f74ea8

75

py

Python

autopy/core/const.py

songofhawk/autopy

d00588e7c55e1d74cea34ee036490d66e5cf5553

[ "MIT" ]

null

autopy/core/const.py

songofhawk/autopy

d00588e7c55e1d74cea34ee036490d66e5cf5553

[ "MIT" ]

null

autopy/core/const.py

songofhawk/autopy

d00588e7c55e1d74cea34ee036490d66e5cf5553

[ "MIT" ]

null

STATE: str = 'state' FIND_RESULT: str = 'find_result' MOUSE: str = 'mouse'

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26a1a0aa1610164b4a3d25b7ab879eaa4ee7794e

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py

Python

tests/__init__.py

bdwilson/raincloudy

2c2f0605c257d2638ab168bcda7595ae6d6732b9

[ "Apache-2.0" ]

16

2017-07-28T05:27:40.000Z

2020-04-15T03:22:01.000Z

tests/__init__.py

bdwilson/raincloudy

2c2f0605c257d2638ab168bcda7595ae6d6732b9

[ "Apache-2.0" ]

37

2017-07-29T09:01:37.000Z

2020-05-18T13:53:39.000Z

tests/__init__.py

bdwilson/raincloudy

2c2f0605c257d2638ab168bcda7595ae6d6732b9

[ "Apache-2.0" ]

6

2017-10-09T11:24:04.000Z

2020-05-13T00:07:44.000Z

"""RainCloudy tests suite."""

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26b5ffb66ed84500ae23909697daeb335baafa4a

171

py

Python

modules/django-cms/project/urls.py

msabramo/django-chuck

bbef6171c9b3738460dc05cb77e65ba88fcc5ad8

[ "BSD-2-Clause" ]

1

2020-05-29T04:27:50.000Z

modules/django-cms/project/urls.py

msabramo/django-chuck

bbef6171c9b3738460dc05cb77e65ba88fcc5ad8

[ "BSD-2-Clause" ]

null

modules/django-cms/project/urls.py

msabramo/django-chuck

bbef6171c9b3738460dc05cb77e65ba88fcc5ad8

[ "BSD-2-Clause" ]

null

#!chuck_extends project/urls.py #!chuck_appends URLS urlpatterns += patterns('', url(r'^', include('filer.server.urls')), url(r'^', include('cms.urls')), ) #!end

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null

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26c96a7fb2777ecb5b7a1f72f0f2caa6682ef59a

100

py

Python

filtered_articles/apps.py

tobyontour/django-filtered-articles

4acc3bbc5c2c1303d1a6082aa14fea5291f73082

[ "BSD-2-Clause" ]

null

filtered_articles/apps.py

tobyontour/django-filtered-articles

4acc3bbc5c2c1303d1a6082aa14fea5291f73082

[ "BSD-2-Clause" ]

4

2021-03-19T03:40:14.000Z

2021-09-22T19:04:03.000Z

filtered_articles/apps.py

tobyontour/django-filtered-articles

4acc3bbc5c2c1303d1a6082aa14fea5291f73082

[ "BSD-2-Clause" ]

null

from django.apps import AppConfig class ArticlesConfig(AppConfig): name = 'filtered_articles'

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f81c83c720ce5632b5d6fb030d1b3ea2fd2430bb

120

py

Python

ngallery/core/services/solana.py

manti-by/ngallery

e87340707d15f3f35ecf7cf761232dd5f40e1389

[ "BSD-3-Clause" ]

null

ngallery/core/services/solana.py

manti-by/ngallery

e87340707d15f3f35ecf7cf761232dd5f40e1389

[ "BSD-3-Clause" ]

null

ngallery/core/services/solana.py

manti-by/ngallery

e87340707d15f3f35ecf7cf761232dd5f40e1389

[ "BSD-3-Clause" ]

null

from django.conf import settings from solana.rpc.api import Client solana_client = Client(settings.SOLANA_NETWORK_URL)

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f8330f55260ae96abcd2e80b7f2b09bd5860a539

321

py

Python

lib/company_jira.py

Rehzende/project-dev-kpis

b99c84e898e8481566e22f8d118b3398ddb6a351

[ "MIT" ]

113

2017-09-28T09:19:18.000Z

2022-03-10T04:10:38.000Z

lib/company_jira.py

Rehzende/project-dev-kpis

b99c84e898e8481566e22f8d118b3398ddb6a351

[ "MIT" ]

6

2017-11-30T04:04:08.000Z

2019-06-27T16:05:32.000Z

lib/company_jira.py

Rehzende/project-dev-kpis

b99c84e898e8481566e22f8d118b3398ddb6a351

[ "MIT" ]

26

2017-09-28T01:51:39.000Z

2021-11-03T10:20:25.000Z

import os from jira import JIRA JIRA_API_SERVER = os.getenv('JIRA_API_SERVER') JIRA_API_USER = os.getenv('JIRA_API_USER') JIRA_API_PASSWORD = os.getenv('JIRA_API_PASSWORD') jira = JIRA( server=JIRA_API_SERVER, basic_auth=(JIRA_API_USER, JIRA_API_PASSWORD) ) if JIRA_API_SERVER != 'https://localhost/' else None

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f838255e5a2882aa7d5715fcccef3ca59d75b71f

167

py

Python

gatekeeper/rest/__init__.py

gods-view/AdclickIO

ccb73867e568aac5f40bd5890149626ce0be1897

[ "BSD-2-Clause" ]

null

gatekeeper/rest/__init__.py

gods-view/AdclickIO

ccb73867e568aac5f40bd5890149626ce0be1897

[ "BSD-2-Clause" ]

null

gatekeeper/rest/__init__.py

gods-view/AdclickIO

ccb73867e568aac5f40bd5890149626ce0be1897

[ "BSD-2-Clause" ]

null

from .popads import Popads from .zeropark import ZeroPark from .exoclick import ExoClick from .propellerads import PropellerAds from .trafficjunky import TrafficJunky

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true

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f86d410e53c9a80f8b0be5203525cea36952c3ff

37

py

Python

lib/python3.5/functools.py

hwroitzsch/BikersLifeSaver

469c738fdd6352c44a3f20689b17fa8ac04ad8a2

[ "MIT" ]

1

2020-08-16T04:04:23.000Z

lib/python3.5/functools.py

hwroitzsch/BikersLifeSaver

469c738fdd6352c44a3f20689b17fa8ac04ad8a2

[ "MIT" ]

5

2020-06-05T18:53:24.000Z

2021-12-13T19:49:15.000Z

lib/python3.5/functools.py

hwroitzsch/BikersLifeSaver

469c738fdd6352c44a3f20689b17fa8ac04ad8a2

[ "MIT" ]

null

/usr/local/lib/python3.5/functools.py

37

0.810811

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4.285714

1

0

0.054054

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1

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null

0

1

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null

0

1

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4

f8c00e580fcb4044a3bcaa16fa42ae0b9ba66081

124

py

Python

flamegraphviewer/backends.py

fwiesel/nylas-perftools

772834d13ae3a9829189a01f1c93163e97a61bf2

[ "MIT" ]

null

flamegraphviewer/backends.py

fwiesel/nylas-perftools

772834d13ae3a9829189a01f1c93163e97a61bf2

[ "MIT" ]

null

flamegraphviewer/backends.py

fwiesel/nylas-perftools

772834d13ae3a9829189a01f1c93163e97a61bf2

[ "MIT" ]

null

import contextlib import redis @contextlib.contextmanager def get_db(db_url): yield redis.StrictRedis.from_url(db_url)

17.714286

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4

f8c3d98f1a948dc486ed3431ba7f098d343daa1b

207

py

Python

SoSe-21/Code-Vorlesungen/VL-5/Mathematische-Brechnungen.py

jonasrdt/Wirtschaftsinformatik2

30d5d896808b98664c55cb6fbb3b30a7f1904d9f

[ "MIT" ]

1

2022-03-23T09:40:39.000Z

SoSe-21/Code-Vorlesungen/VL-5/Mathematische-Brechnungen.py

jonasrdt/Wirtschaftsinformatik2

30d5d896808b98664c55cb6fbb3b30a7f1904d9f

[ "MIT" ]

null

SoSe-21/Code-Vorlesungen/VL-5/Mathematische-Brechnungen.py

jonasrdt/Wirtschaftsinformatik2

30d5d896808b98664c55cb6fbb3b30a7f1904d9f

[ "MIT" ]

null

PI = 3.1415 # Globale Variable def kreisumfang(radius): kreisumfang = 2 * PI * radius return kreisumfang def zylinder(radius, hoehe): return hoehe * kreisumfang(radius) print(zylinder(50, 20))

20.7

38

0.705314

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207

5.615385

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0

0.05988

0.193237

207

10

39

20.7

0.814371

0.077295

0

1

0.285714

false

0

0.142857

0.571429

0.142857

1

0

null

1

0

null

0

1

0

1

0

4

f8d1da03e0dace4042f29e28c450117091ee3cda

140

py

Python

deps/lib/python3.7/site-packages/pyupdate/__init__.py

edward-cai/homeassistant-profile

1ed26cf114e83ec975de0fd25f5bfa6e7694b8c5

[ "MIT" ]

2

2020-08-04T23:49:08.000Z

2020-08-14T23:06:30.000Z

deps/lib/python3.7/site-packages/pyupdate/__init__.py

edward-cai/homeassistant-profile

1ed26cf114e83ec975de0fd25f5bfa6e7694b8c5

[ "MIT" ]

5

2018-10-02T13:49:26.000Z

2019-12-01T09:15:04.000Z

deps/lib/python3.7/site-packages/pyupdate/__init__.py

edward-cai/homeassistant-profile

1ed26cf114e83ec975de0fd25f5bfa6e7694b8c5

[ "MIT" ]

2

2020-02-21T12:03:21.000Z

2021-01-31T15:30:41.000Z

""" A python package to update stuff. This code is released under the terms of the MIT license. See the LICENSE file for more details. """

20

73

0.742857

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140

4.333333

0.875

0

0.192857

140

6

74

23.333333

0.920354

0.935714

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

3e1f08b4171cdf9a9956a4d2ab3e201149c912a1

33

py

Python

caffe-grid/src/main/python/com/yahoo/__init__.py

jenniew/IntelCaffeOnSpark_mirror

7b79ff25d5eed5f472ea7b1572f9c7fa9dcdc46c

[ "Apache-2.0" ]

1,436

2016-02-24T17:14:14.000Z

2022-02-25T20:05:19.000Z

caffe-grid/src/main/python/com/yahoo/__init__.py

jenniew/IntelCaffeOnSpark_mirror

7b79ff25d5eed5f472ea7b1572f9c7fa9dcdc46c

[ "Apache-2.0" ]

297

2016-02-25T08:31:17.000Z

2019-10-11T02:35:09.000Z

caffe-grid/src/main/python/com/yahoo/__init__.py

jenniew/IntelCaffeOnSpark_mirror

7b79ff25d5eed5f472ea7b1572f9c7fa9dcdc46c

[ "Apache-2.0" ]

461

2016-02-24T17:25:04.000Z

2021-03-05T07:33:02.000Z

from ml import * __all__=["ml"]

8.25

16

0.636364

5

33

3.4

0.8

0

0.181818

33

3

17

11

0.62963

0

0.060606

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1

0

false

0

0.5

0

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0

1

0

null

0

1

0

null

0

1

0

4

3e39643a5413de614054521a3127cd26d55505df

143

py

Python

models/term.py

MatthewKosloski/student-information-system

a3469647298d62c45c793e70a3ac70c0524340e2

[ "CECILL-B" ]

null

models/term.py

MatthewKosloski/student-information-system

a3469647298d62c45c793e70a3ac70c0524340e2

[ "CECILL-B" ]

null

models/term.py

MatthewKosloski/student-information-system

a3469647298d62c45c793e70a3ac70c0524340e2

[ "CECILL-B" ]

null

from .base import BaseModel from peewee import * class Term(BaseModel): id = IntegerField() title = CharField() abbreviation = CharField()

17.875

27

0.741259

16

143

6.625

0.75

0

0.160839

143

7

28

20.428571

0.883333

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3e3a021fd94f890bdc98f4d28f4c2c9436a3df62

146

py

Python

qtc_process_auto/Output_Simple_report.py

xfzlun/WinUIAutomation

0f94388671cf0aacbc8499293b7dd31ddfa205fa

[ "MIT" ]

null

qtc_process_auto/Output_Simple_report.py

xfzlun/WinUIAutomation

0f94388671cf0aacbc8499293b7dd31ddfa205fa

[ "MIT" ]

null

qtc_process_auto/Output_Simple_report.py

xfzlun/WinUIAutomation

0f94388671cf0aacbc8499293b7dd31ddfa205fa

[ "MIT" ]

null

import os import pandas as pd report_Data = pd.read_excel('E:\\coding\\AutomationWinTest\\qtc_process_auto\\test_report.xlsx') print(report_Data)

29.2

96

0.808219

23

146

4.869565

0.782609

0.178571

0

0.068493

146

5

97

29.2

0.823529

0

0.442177

0

1

0

false

0

0.5

0

0.5

0.25

1

0

null

0

1

0

1

null

0

1

0

4

3e5d0975b11df19a180b062fedb9b83135126a0f

342

py

Python

config/outer_polytope/cw_30_1.py

ytsmiling/lmt

31e36e54d858fbc0a1f2eab12d5a86a97284339f

[ "MIT" ]

32

2018-02-13T10:41:09.000Z

2021-07-07T16:07:40.000Z

config/outer_polytope/cw_30_1.py

ytsmiling/lmt

31e36e54d858fbc0a1f2eab12d5a86a97284339f

[ "MIT" ]

4

2018-02-16T14:15:04.000Z

2019-12-14T10:39:06.000Z

config/outer_polytope/cw_30_1.py

ytsmiling/lmt

31e36e54d858fbc0a1f2eab12d5a86a97284339f

[ "MIT" ]

6

2018-03-22T20:49:39.000Z

2022-01-08T23:47:17.000Z

from config.outer_polytope.base import * from src.model.classifier import LMTraining from config.attack.cw_30_1_1_1 import attacker, attacker_args, attacker_kwargs attacker = attacker(predictor, *attacker_args, **attacker_kwargs) mode = ['default'] model = LMTraining(predictor, preprocess, attacker=attacker) attacker.register_model(model)

38

78

0.824561

45

342

6.044444

0.488889

0.235294

0.147059

0.191176

0

0.015974

0.084795

342

8

79

42.75

0.853035

0

0.020468

0

1

0

false

0

0.428571

0

0.428571

0

null

1

0

1

0

1

0

null

0

1

0

4

3e5f95713021438a7ac407ed1df2ae2c04c5c2b9

23

py

Python

apps/controllerx/cx_version.py

Crocmagnon/controllerx

d928d5fc8d7ab50a86417227d5b732aea43cb653

[ "MIT" ]

null

apps/controllerx/cx_version.py

Crocmagnon/controllerx

d928d5fc8d7ab50a86417227d5b732aea43cb653

[ "MIT" ]

null

apps/controllerx/cx_version.py

Crocmagnon/controllerx

d928d5fc8d7ab50a86417227d5b732aea43cb653

[ "MIT" ]

null

__version__ = "v4.4.0"

11.5

22

0.652174

4

23

2.75

1

0

0.15

0.130435

23

1

23

0.4

0

0.26087

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

3e69724a9dd28541e2285f19222f411ca8bdc60a

49

py

Python

hrinflux/__init__.py

helloretail/hrinflux

ef7ce1ee0d71803abe0ce29913e4e30f66a79b71

[ "MIT" ]

null

hrinflux/__init__.py

helloretail/hrinflux

ef7ce1ee0d71803abe0ce29913e4e30f66a79b71

[ "MIT" ]

null

hrinflux/__init__.py

helloretail/hrinflux

ef7ce1ee0d71803abe0ce29913e4e30f66a79b71

[ "MIT" ]

null

from .influx import Influx __all__ = ['Influx']

12.25

26

0.714286

6

49

5.166667

0.666667

0

0.163265

49

3

27

16.333333

0.756098

0

0.122449

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

3e6ff0444d172a4ff8523670209b2eb90e59daad

510

py

Python

tariffs/utils.py

hdknr/django-tariffs

d3e838bfef81f6457b45f71886c5f3db0348ca9d

[ "BSD-2-Clause-FreeBSD" ]

null

tariffs/utils.py

hdknr/django-tariffs

d3e838bfef81f6457b45f71886c5f3db0348ca9d

[ "BSD-2-Clause-FreeBSD" ]

null

tariffs/utils.py

hdknr/django-tariffs

d3e838bfef81f6457b45f71886c5f3db0348ca9d

[ "BSD-2-Clause-FreeBSD" ]

null

from django.db import models from django.template import Template, Context try: from django.urls import reverse except: from django.core.urlresolvers import reverse def admin_change_url_name(model): return 'admin:{0}_{1}_change'.format( model._meta.app_label, model._meta.model_name, ) def admin_change_url(instance): return reverse(admin_change_url_name(instance), args=[instance.id]) def render(src, request=None, **kwargs): return Template(src).render(Context(kwargs))

25.5

71

0.747059

71

510

5.169014

0.478873

0.108992

0.114441

0.092643

0

0.004598

0.147059

510

19

72

26.842105

0.83908

0

0.039216

0

1

0.230769

false

0

0.307692

0.230769

0.769231

0

null

0

null

0

1

0

1

0

4

3e71b1d21081bd58ece2479092c35e71d4c3cb15

87

py

Python

BioClients/__init__.py

jeremyjyang/BioClients

b78ab2b948c79616fed080112e31d383346bec58

[ "CC0-1.0" ]

10

2020-05-26T07:29:14.000Z

2021-12-06T21:33:40.000Z

BioClients/__init__.py

jeremyjyang/BioClients

b78ab2b948c79616fed080112e31d383346bec58

[ "CC0-1.0" ]

1

2021-10-05T12:25:30.000Z

2021-10-05T17:05:56.000Z

BioClients/__init__.py

jeremyjyang/BioClients

b78ab2b948c79616fed080112e31d383346bec58

[ "CC0-1.0" ]

2

2021-03-16T03:20:24.000Z

2021-08-08T20:17:10.000Z

"""Python package for access to online biomedical resources, usually via REST APIs."""

43.5

86

0.770115

12

87

5.583333

1

0

0.137931

87

1

87

0.893333

0.91954

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

3e7f03f576058dfa0caef9accc27c815b0efd6dd

195

py

Python

phr/admin.py

kwzofc/phr

04e87daf182783c99191a320c3d83f5abdd60da1

[ "MIT" ]

null

phr/admin.py

kwzofc/phr

04e87daf182783c99191a320c3d83f5abdd60da1

[ "MIT" ]

null

phr/admin.py

kwzofc/phr

04e87daf182783c99191a320c3d83f5abdd60da1

[ "MIT" ]

null

from django.contrib import admin from . import models # Register your models here. @admin.register(models.PHR) class AuthorAdmin(admin.ModelAdmin): list_display = ('first_name', 'last_name')

27.857143

46

0.769231

26

195

5.653846

0.692308

0

0.123077

195

7

46

27.857143

0.859649

0.133333

0

0.113095

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3e8e4ee58dc102101ed594c9f98dcc1e167373fc

217

py

Python

tests/flask/test_http_django.py

mathieurodic/easy-graphql

80a42bfe0fab72f61438df37dcc3bbc42e5df485

[ "MIT" ]

1

2022-01-25T14:32:52.000Z

tests/flask/test_http_django.py

mathieurodic/easy-graphql

80a42bfe0fab72f61438df37dcc3bbc42e5df485

[ "MIT" ]

2

2022-01-19T11:54:20.000Z

2022-01-31T14:46:32.000Z

tests/flask/test_http_django.py

mathieurodic/easy-graphql-server

80a42bfe0fab72f61438df37dcc3bbc42e5df485

[ "MIT" ]

null

from .django.base_django_test import BaseDjangoTest as DjangoBaseDjangoTest from ._base_http_test import BaseHttpTest class DjangoHttpTest(DjangoBaseDjangoTest, BaseHttpTest): endpoint_url = '/graphql-methods'

27.125

75

0.83871

23

217

7.652174

0.695652

0.113636

0

0.105991

217

7

76

31

0.907216

0

0.073733

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e445b1bd129f312f306e631ff9b44780a21940f0

1,571

py

Python

iotportal/iotview/models.py

zserg/iotportal

02bbf1b6478fea18d11745e4e2e2b28a01e1a6d5

[ "MIT" ]

null

iotportal/iotview/models.py

zserg/iotportal

02bbf1b6478fea18d11745e4e2e2b28a01e1a6d5

[ "MIT" ]

null

iotportal/iotview/models.py

zserg/iotportal

02bbf1b6478fea18d11745e4e2e2b28a01e1a6d5

[ "MIT" ]

null

from django.db import models class IotView(models.Model): name = models.CharField(max_length=255) description = models.CharField(max_length=255) view_type = models.CharField(max_length=255) node0_path = models.CharField(max_length=1024) node1_path = models.CharField(max_length=1024, default='', blank=True) node2_path = models.CharField(max_length=1024, default='', blank=True) node3_path = models.CharField(max_length=1024, default='', blank=True) node0_descr = models.CharField(max_length=255) node1_descr = models.CharField(max_length=255, default='', blank=True) node2_descr = models.CharField(max_length=255, default='', blank=True) node3_descr = models.CharField(max_length=255, default='', blank=True) def get_last_value_url(self): """ get API url from nodex_path: 'dev_id!node_path' """ base_url = 'data/read/{}?datanodes={}' paths = [] paths.append((self.node0_descr, base_url.format(*self.node0_path.split('!')))) if self.node1_path: paths.append((self.node1_descr, base_url.format(*self.node1_path.split('!')))) if self.node2_path: paths.append((self.node2_descr, base_url.format(*self.node2_path.split('!')))) if self.node3_path: paths.append((self.node3_descr, base_url.format(*self.node3_path.split('!')))) return paths class API(models.Model): name = models.CharField(max_length=255) token = models.CharField(max_length=255) url = models.CharField(max_length=255)

39.275

90

0.678549

208

1,571

4.908654

0.230769

0.205681

0.246817

0.329089

0.619001

0.427032

0.364349

0.282076

0

0.050544

0.181413

1,571

39

91

40.282051

0.74339

0.029917

0

0.071429

0

0.019463

0.016779

0

1

0.035714

false

0

0.035714

0

0.678571

0

null

1

0

null

0

1

0

4

e44c4878984bbe5ecf0d955faae340ae19adf04c

24

py

Python

redash_py/__init__.py

p-baleine/redash-py

fcde5c9b444213f31f67058f61746b1cb43eab83

[ "MIT" ]

null

redash_py/__init__.py

p-baleine/redash-py

fcde5c9b444213f31f67058f61746b1cb43eab83

[ "MIT" ]

null

redash_py/__init__.py

p-baleine/redash-py

fcde5c9b444213f31f67058f61746b1cb43eab83

[ "MIT" ]

null

__VERSION__ = '0.2.2.1'

12

23

0.625

5

24

2.2

0.8

0

0.190476

0.125

24

1

24

0.333333

0

0.291667

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

e4678cdee0d0c27507dc767fc33f55006e0fa803

70

py

Python

atcoder/abc/abc031_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

1

2018-11-12T15:18:55.000Z

atcoder/abc/abc031_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

atcoder/abc/abc031_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

A, D = map(int, input().split()) print(max((A + 1) * D, A * (D + 1)))

23.333333

36

0.457143

14

70

2.285714

0.642857

0.125

0

0.036364

0.214286

70

2

37

35

0.545455

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

e47740f24c17aec1c3e608d7b436f345a40733aa

48

py

Python

user_agents/__init__.py

nagesh4193/python-user-agents

8ee76fa7a77e5d0e087c1077caa513706f031575

[ "MIT" ]

1,166

2015-01-07T03:41:43.000Z

2022-03-25T13:27:43.000Z

user_agents/__init__.py

nagesh4193/python-user-agents

8ee76fa7a77e5d0e087c1077caa513706f031575

[ "MIT" ]

88

2015-01-06T03:48:31.000Z

2022-03-15T12:36:30.000Z

user_agents/__init__.py

nagesh4193/python-user-agents

8ee76fa7a77e5d0e087c1077caa513706f031575

[ "MIT" ]

208

2015-01-26T12:32:44.000Z

2022-03-24T11:33:26.000Z

VERSION = (2, 2, 0) from .parsers import parse

12

26

0.666667

8

48

4

0.875

0

0.078947

0.208333

48

3

27

16

0.763158

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

e48333e2aaacbd3110c4d81a197dc4b3bb062f61

24

py

Python

src/kvm48/version.py

SNH48Live/KVM48

35baf962c43b87fef4fca09d552e68f2ae7aa539

[ "MIT" ]

11

2018-02-18T22:44:59.000Z

2020-02-13T01:16:47.000Z

src/kvm48/version.py

SNH48Live/KVM48

35baf962c43b87fef4fca09d552e68f2ae7aa539

[ "MIT" ]

16

2018-02-24T07:25:44.000Z

2019-06-01T11:21:46.000Z

src/kvm48/version.py

SNH48Live/KVM48

35baf962c43b87fef4fca09d552e68f2ae7aa539

[ "MIT" ]

null

__version__ = "1.4dev0"

12

23

0.708333

3

24

4.333333

1

0

0.142857

0.125

24

1

24

0.47619

0

0.291667

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

e4b22c3ddd21d211f2da69e0da4763271a17d99e

115

py

Python

src/acachecontrol/__init__.py

MasterSergius/acachecontrol

33f331556dadd58612292b46b11c26786bc046cf

[ "Apache-2.0" ]

8

2020-12-27T10:16:49.000Z

2022-02-10T10:09:48.000Z

src/acachecontrol/__init__.py

MasterSergius/acachecontrol

33f331556dadd58612292b46b11c26786bc046cf

[ "Apache-2.0" ]

6

2021-01-06T13:11:17.000Z

2021-11-15T11:58:51.000Z

src/acachecontrol/__init__.py

MasterSergius/acachecontrol

33f331556dadd58612292b46b11c26786bc046cf

[ "Apache-2.0" ]

5

2020-12-26T12:49:00.000Z

2021-11-14T01:23:54.000Z

__version__ = "0.3.4" from .acachecontrol import AsyncCacheControl # noqa from .cache import AsyncCache # noqa

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0

1

0

4

e4c8e46b1cfec5a2c6fa28163af684b56d22aa91

1,178

py

Python

world/gen/biome/Biome.py

uuk0/mcpython-4

1ece49257b3067027cc43b452a2fc44908d3514c

[ "MIT" ]

2

2019-08-21T08:23:45.000Z

2019-09-25T13:20:28.000Z

world/gen/biome/Biome.py

uuk0/mcpython-4

1ece49257b3067027cc43b452a2fc44908d3514c

[ "MIT" ]

11

2019-08-21T08:46:01.000Z

2021-09-08T01:18:04.000Z

world/gen/biome/Biome.py

uuk0/mcpython-4

1ece49257b3067027cc43b452a2fc44908d3514c

[ "MIT" ]

5

2019-08-30T08:19:57.000Z

2019-10-26T03:31:16.000Z

"""mcpython - a minecraft clone written in python licenced under MIT-licence authors: uuk, xkcdjerry original game by forgleman licenced under MIT-licence minecraft by Mojang blocks based on 1.14.4.jar of minecraft, downloaded on 20th of July, 2019""" import globals as G import world.gen.feature.IOre as ores class Biome: @staticmethod def get_name() -> str: raise NotImplementedError() @staticmethod def get_temperature() -> float: raise NotImplementedError() @staticmethod def get_landmass() -> str: return "land" @staticmethod def get_weight() -> int: return 10 @staticmethod def get_height_range(): return [10, 30] @staticmethod def get_top_layer_height_range(): return [3, 5] @staticmethod def get_top_layer_configuration(height: int): return ["minecraft:dirt"] * (height - 1) + ["minecraft:grass_block"] @staticmethod def get_trees() -> list: """ :return: an (IFeature, chance as n)[ """ @staticmethod def get_ores() -> list: """ :return: an IOre[ """ return [ores.CoalOre]

21.814815

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0.626486

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1,178

5.270073

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1,178

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77

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null

0

1

0

null

0

1

0

1

0

4

9025e77e0e72f810447d38f48b6bf113cede0983

85

py

Python

build/apps.py

adarshtri/art-dashboard-server

c6c61147d49aa43b6e2892ce07d8a115c1478b0c

[ "Apache-2.0" ]

1

2020-09-21T06:48:47.000Z

build/apps.py

adarshtri/art-dashboard-server

c6c61147d49aa43b6e2892ce07d8a115c1478b0c

[ "Apache-2.0" ]

5

2021-02-05T19:43:08.000Z

2021-06-04T23:23:29.000Z

build/apps.py

adarshtri/art-dashboard-server

c6c61147d49aa43b6e2892ce07d8a115c1478b0c

[ "Apache-2.0" ]

6

2021-02-06T07:21:37.000Z

2021-06-07T12:40:37.000Z

from django.apps import AppConfig class BuildConfig(AppConfig): name = 'build'

14.166667

33

0.741176

10

85

6.3

0.9

0

0.176471

85

5

34

17

0.9

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0.058824

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1

0

false

0

0.333333

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null

0

1

0

null

0

1

0

1

0

4

5f630d0ea6c43e21075445f9b921f96781313043

55

py

Python

kiwi_bugfix_typechecker/ipython.py

kiwi0fruit/jats-semi-supervised-pytorch

67e9bb85f09f8ef02e17e495784d1d9a71c3adec

[ "MIT" ]

null

kiwi_bugfix_typechecker/ipython.py

kiwi0fruit/jats-semi-supervised-pytorch

67e9bb85f09f8ef02e17e495784d1d9a71c3adec

[ "MIT" ]

null

kiwi_bugfix_typechecker/ipython.py

kiwi0fruit/jats-semi-supervised-pytorch

67e9bb85f09f8ef02e17e495784d1d9a71c3adec

[ "MIT" ]

null

from IPython.display import display display = display

13.75

35

0.818182

7

55

6.428571

0.571429

0.622222

0

0.145455

55

3

36

18.333333

0.957447

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

5fb2b9c0bb5e0b6d45360f9ea0f764b09a71e328

935

py

Python

built-in/PyTorch/Official/cv/image_object_detection/YoloV3_ID1790_for_PyTorch/mmdet/core/__init__.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

12

2020-12-13T08:34:24.000Z

2022-03-20T15:17:17.000Z

built-in/PyTorch/Official/cv/image_object_detection/YoloV3_ID1790_for_PyTorch/mmdet/core/__init__.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

1

2022-01-20T03:11:05.000Z

2022-01-20T06:53:39.000Z

built-in/PyTorch/Official/cv/image_object_detection/YoloV3_ID1790_for_PyTorch/mmdet/core/__init__.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

2

2021-07-10T12:40:46.000Z

2021-12-17T07:55:15.000Z

# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to 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 .anchor import * # noqa: F401, F403 from .bbox import * # noqa: F401, F403 from .evaluation import * # noqa: F401, F403 from .export import * # noqa: F401, F403 from .fp16 import * # noqa: F401, F403 from .mask import * # noqa: F401, F403 from .post_processing import * # noqa: F401, F403 from .utils import * # noqa: F401, F403

40.652174

74

0.729412

141

935

4.829787

0.560284

0.117474

0.164464

0.211454

0.226138

0

0.076216

0.186096

935

22

75

42.5

0.81866

0.749733

0

1

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true

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

4

5fc05cbc2de28c951d903be8d09a386b2e52184d

49

py

Python

grout/__init__.py

azavea/grout

95a03fed19f8ac988fb6db95720f1ea3d16aee2c

[ "MIT" ]

14

2018-09-05T01:07:36.000Z

2020-09-08T22:25:30.000Z

grout/__init__.py

azavea/grout

95a03fed19f8ac988fb6db95720f1ea3d16aee2c

[ "MIT" ]

9

2018-07-10T19:51:14.000Z

2018-08-28T17:47:49.000Z

grout/__init__.py

azavea/grout

95a03fed19f8ac988fb6db95720f1ea3d16aee2c

[ "MIT" ]

2

2018-09-05T09:37:37.000Z

2020-07-08T15:38:41.000Z

default_app_config = 'grout.apps.GroutAppConfig'

24.5

48

0.836735

6

49

6.5

1

0

0.061224

49

1

49

0.847826

0

0.510204

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

5fd40a728304067a517b5ba354c08a91f05b53af

829

py

Python

python_test/ScoreDraft/KarplusStrongInstrument.py

LovelyA72/ScoreDraft

dd344a49a5eec2670110cc43d672936cd1c27844

[ "MIT" ]

1

2020-03-26T15:48:49.000Z

python_test/ScoreDraft/KarplusStrongInstrument.py

LovelyA72/ScoreDraft

dd344a49a5eec2670110cc43d672936cd1c27844

[ "MIT" ]

null

python_test/ScoreDraft/KarplusStrongInstrument.py

LovelyA72/ScoreDraft

dd344a49a5eec2670110cc43d672936cd1c27844

[ "MIT" ]

null

from .Instrument import Instrument from .Catalog import Catalog try: from .Extensions import InitializeKarplusStrongInstrument from .Extensions import KarplusStrongSetCutFrequency from .Extensions import KarplusStrongSetLoopGain from .Extensions import KarplusStrongSetSustainGain Catalog['Engines'] += ['KarplusStrongInstrument - Instrument'] class KarplusStrongInstrument(Instrument): def __init__(self): self.id = InitializeKarplusStrongInstrument() def setCutFrequency(self, cut_freq): # This is the cut-frequency of the feedback filter for pitch 261.626Hz KarplusStrongSetCutFrequency(self, cut_freq) def setLoopGain(self, loop_gain): KarplusStrongSetLoopGain(self, loop_gain) def setSustainGain(self, sustain_gain): KarplusStrongSetSustainGain(self, sustain_gain) except ImportError: pass

33.16

73

0.814234

81

829

8.209877

0.481481

0.084211

0.120301

0

0.008242

0.121834

829

24

74

34.541667

0.90522

0.082027

0

0.056728

0.030343

0

1

0.210526

false

0.052632

0.368421

0

0.631579

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null

0

null

0

1

0

1

0

1

0

4

3972dc4c9032d85edf056d11a10dcdcb08da6b58

101

py

Python

peter_lists/origami/admin.py

pvize1/peter_lists

77e9f30cfc45f500e059b7b163db541335180332

[ "MIT" ]

null

peter_lists/origami/admin.py

pvize1/peter_lists

77e9f30cfc45f500e059b7b163db541335180332

[ "MIT" ]

8

2021-05-12T05:53:42.000Z

2022-03-31T04:08:18.000Z

peter_lists/origami/admin.py

pvize1/peter_lists

77e9f30cfc45f500e059b7b163db541335180332

[ "MIT" ]

null

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

20.2

33

0.841584

13

101

6.538462

0.692308

0

0.09901

101

4

34

25.25

0.934066

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3982a55d8f3c50714c5117ab26f84c618ae13fb2

204

py

Python

upylab/upylab_5.13.py

piousteph/mooc_python

b7446c8a8317e2ae5e87a9ce27fd107f20333765

[ "MIT" ]

null

upylab/upylab_5.13.py

piousteph/mooc_python

b7446c8a8317e2ae5e87a9ce27fd107f20333765

[ "MIT" ]

null

upylab/upylab_5.13.py

piousteph/mooc_python

b7446c8a8317e2ae5e87a9ce27fd107f20333765

[ "MIT" ]

null

def my_count(lst, e): res = 0 if type(lst) == list: res = lst.count(e) return res print(my_count([1, 2, 3, 4, 3, 2, 1], 3)) print(my_count([1, 2, 3], 4)) print(my_count((2, 3, 5), 3))

22.666667

41

0.529412

42

204

2.47619

0.404762

0.269231

0.346154

0.25

0.307692

0

0.111111

0.25

204

9

42

22.666667

0.568627

0

1

0.125

false

0

0.25

0.375

0

null

1

0

1

0

null

0

4

3982cc154d88583b9b3218d82bf2195a541cc8a7

70

py

Python

DesignPattern/Inversion_Control/Dependency Injection/hello_world.py

shrijaltamrakar/Descent_py

82cd89ebeca37d079fc5d072010d3a3120420b2a

[ "MIT" ]

2

2019-10-25T10:24:04.000Z

2019-10-25T10:24:05.000Z

DesignPattern/Inversion_Control/Dependency Injection/hello_world.py

shrijaltamrakar/Descent_py

82cd89ebeca37d079fc5d072010d3a3120420b2a

[ "MIT" ]

1

2021-06-02T00:16:58.000Z

DesignPattern/Inversion_Control/Dependency Injection/hello_world.py

shrijaltamrakar/Descent_py

82cd89ebeca37d079fc5d072010d3a3120420b2a

[ "MIT" ]

1

2019-10-25T06:46:10.000Z

def hello_world(output_function): output_function("Hello, world.")

35

36

0.771429

9

70

5.666667

0.555556

0.392157

0

0.1

70

2

36

35

0.809524

0

0.183099

0

1

0.5

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

3985d7e8bafeaf6e241a72890f988d5354064a41

351

py

Python

texFiles/end.py

nragot/rox

f5486b3787bdfa5117f6c65e3db3d9810b3ec6cd

[ "MIT" ]

null

texFiles/end.py

nragot/rox

f5486b3787bdfa5117f6c65e3db3d9810b3ec6cd

[ "MIT" ]

null

texFiles/end.py

nragot/rox

f5486b3787bdfa5117f6c65e3db3d9810b3ec6cd

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Jul 19 21:53:17 2018 @author: nathan """ from classes.texFile import TexFile class End (TexFile): def __init__(self, parentTex, context): TexFile.__init__(self, parentTex, context) self.name = "end" def write (self): return "\\end{document}"

20.647059

50

0.618234

45

351

4.644444

0.733333

0.076555

0.162679

0.229665

0

0.052239

0.236467

351

17

51

20.647059

0.727612

0.273504

0

0.072874

0

1

0.285714

false

0

0.142857

0.714286

0

null

0

1

0

null

0

1

0

1

0

4

39a21b7541f151a379b21e4c437431d135c51e75

90

py

Python

ex01/bonjour.py

Wassila211/Day02

65804d6fa3e131d56f63501e75dd3ce10ec2e50a

[ "MIT" ]

null

ex01/bonjour.py

Wassila211/Day02

65804d6fa3e131d56f63501e75dd3ce10ec2e50a

[ "MIT" ]

null

ex01/bonjour.py

Wassila211/Day02

65804d6fa3e131d56f63501e75dd3ce10ec2e50a

[ "MIT" ]

null

def Bonjour(name): print(f"Bonjour, {name} comment allez vous ?") Bonjour("wassila")

18

48

0.677778

12

90

5.083333

0.75

0.360656

0

0.155556

90

4

49

22.5

0.802632

0

0.477778

0

1

0.333333

false

0

0.333333

1

0

null

1

0

1

0

null

0

1

0

4

39a261780fe4c6ccca1b5c10f6940e405a9375d0

92

py

Python

goutdotcom/lab/apps.py

Spiewart/goutdotcom

0916155732a72fcb8c8a2fb0f4dd81efef618af8

[ "MIT" ]

null

goutdotcom/lab/apps.py

Spiewart/goutdotcom

0916155732a72fcb8c8a2fb0f4dd81efef618af8

[ "MIT" ]

null

goutdotcom/lab/apps.py

Spiewart/goutdotcom

0916155732a72fcb8c8a2fb0f4dd81efef618af8

[ "MIT" ]

null

from django.apps import AppConfig class LabConfig(AppConfig): name = 'goutdotcom.lab'

15.333333

33

0.75

11

92

6.272727

0.909091

0

0.163043

92

5

34

18.4

0.896104

0

0.152174

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

39a93f686fe68e04966ce7df4fcee58af36cf67f

595

py

Python

src/pytrello/request_wrapper.py

dohlee/python-trello

322c416f5954a511dab558754386a8aff90f4ecf

[ "MIT" ]

null

src/pytrello/request_wrapper.py

dohlee/python-trello

322c416f5954a511dab558754386a8aff90f4ecf

[ "MIT" ]

null

src/pytrello/request_wrapper.py

dohlee/python-trello

322c416f5954a511dab558754386a8aff90f4ecf

[ "MIT" ]

null

import requests from pytrello.decorators import as_json from pytrello.decorators import authorized @authorized @as_json def get(url, payload=None, **kwargs): return requests.get(url.format(**kwargs), params=payload) @authorized @as_json def post(url, payload=None, **kwargs): return requests.post(url.format(**kwargs), data=payload) @authorized @as_json def delete(url, payload=None, **kwargs): return requests.delete(url.format(**kwargs), data=payload) @authorized @as_json def put(url, payload=None, **kwargs): return requests.put(url.format(**kwargs), params=payload)

21.25

62

0.744538

81

595

5.407407

0.259259

0.068493

0.146119

0.173516

0.687215

0.515982

0.205479

0

0.117647

595

27

63

22.037037

0.834286

0

0.421053

0

1

0.210526

false

0

0.157895

0.210526

0.578947

0

null

0

1

0

null

0

1

0

1

0

4

39b8e131471d11db8231060c03117638561c1d90

136

py

Python

py_snappy/__init__.py

jmcph4/py-snappy

1b254774f6c4daccba99114704cb9ecd589e6345

[ "MIT" ]

null

py_snappy/__init__.py

jmcph4/py-snappy

1b254774f6c4daccba99114704cb9ecd589e6345

[ "MIT" ]

null

py_snappy/__init__.py

jmcph4/py-snappy

1b254774f6c4daccba99114704cb9ecd589e6345

[ "MIT" ]

null

from .exceptions import BaseSnappyError, CorruptError, TooLargeError # noqa: F401 from .main import compress, decompress # noqa: F401

45.333333

82

0.794118

15

136

7.2

0.733333

0.148148

0

0.051282

0.139706

136

2

83

68

0.871795

0.154412

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

39e1795eb2e6a24bc11ad41545d8b36084d71faf

28

py

Python

version.py

rattus128/OoT-Randomizer

9472bd5293be7328cab5710f99360f72971192d0

[ "MIT" ]

2

2019-01-03T12:52:06.000Z

2019-01-07T22:50:31.000Z

version.py

rattus128/OoT-Randomizer

9472bd5293be7328cab5710f99360f72971192d0

[ "MIT" ]

5

2019-02-20T14:18:31.000Z

2019-03-16T23:03:48.000Z

version.py

rattus128/OoT-Randomizer

9472bd5293be7328cab5710f99360f72971192d0

[ "MIT" ]

null

__version__ = '4.6.2 f.LUM'

14

27

0.642857

6

28

2.333333

1

0

0.125

0.142857

28

1

28

0.458333

0

0.392857

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

39f4e55fe83c157234d854075fc6f4856d44bffd

3,393

py

Python

test/test_DuelArena.py

Chrrapek/DiscordMiejski

fd59433c1315baadd91a9ef29ca534924bcdc7f4

[ "MIT" ]

1

2020-10-13T11:20:42.000Z

test/test_DuelArena.py

Chrrapek/DiscordMiejski

fd59433c1315baadd91a9ef29ca534924bcdc7f4

[ "MIT" ]

47

2020-09-24T20:43:03.000Z

2021-04-16T11:20:59.000Z

test/test_DuelArena.py

Chrrapek/DiscordMiejski

fd59433c1315baadd91a9ef29ca534924bcdc7f4

[ "MIT" ]

2

2020-10-14T19:59:40.000Z

2020-10-21T15:56:25.000Z

import unittest from random import Random from typing import Sequence from unittest import TestCase from cogs.duel.DuelArena import DuelArena, DuelResult, DuelStatus class AlwaysFirstRandom(Random): def choice(self, seq: Sequence): return seq[0] class AlwaysSecondRandom(Random): def choice(self, seq: Sequence): return seq[1] class TestDuelArena(TestCase): challenger = "a" target = "b" prize = 1 def test_should_add_duel(self): arena = DuelArena(AlwaysFirstRandom()) duel_result = arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.target) self.assertEqual(duel_result.status, DuelStatus.DUEL_CREATED) def test_should_make_duel(self): arena = DuelArena(AlwaysFirstRandom()) arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.target) duel_result = arena.add_or_make_duel("1", challenger=self.target, prize=self.prize, target=self.challenger) self.assertEqual(duel_result.status, DuelStatus.CHALLENGER_WON) self.assertEqual(duel_result.prize, self.prize) def test_not_make_duel_twice(self): arena = DuelArena(AlwaysSecondRandom()) arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.target) duel_result = arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.target) self.assertEqual(duel_result.status, DuelStatus.DUEL_ALREADY_CREATED) def test_should_add_duel_after_previous_id_resolved(self): arena = DuelArena(AlwaysSecondRandom()) arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.target) arena.add_or_make_duel("1", challenger=self.target, prize=self.prize, target=self.challenger) duel_result = arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.target) self.assertEqual(duel_result.status, DuelStatus.DUEL_CREATED) def test_target_should_not_be_challenger(self): arena = DuelArena(AlwaysSecondRandom()) duel_result = arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.challenger) self.assertEqual(duel_result.status, DuelStatus.CANNOT_DUEL_WITH_YOURSELF) def test_should_take_prize_from_proposal(self): arena = DuelArena(AlwaysFirstRandom()) arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.target) duel_result = arena.add_or_make_duel("1", challenger=self.target, prize=self.prize + 1, target=self.challenger) self.assertEqual(duel_result.prize, self.prize) def test_should_list_user_duels(self): arena = DuelArena(AlwaysFirstRandom()) arena.add_or_make_duel("1", challenger=self.challenger, prize=self.prize, target=self.target) self.assertEqual(arena.list_user_open_duels("1", self.challenger), {self.target: 1}) self.assertEqual(arena.list_user_waiting_duels("1", self.target), {self.challenger: 1}) def test_should_list_empty(self): arena = DuelArena(AlwaysFirstRandom()) self.assertEqual(arena.list_user_open_duels("1", self.challenger), dict()) self.assertEqual(arena.list_user_waiting_duels("1", self.target), dict()) if __name__ == '__main__': unittest.main()

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f2f93adfb28040227c34ba123cdc71c98a29cc0d

1,257

py

Python

server/models.py

mpetyx/smart-house-simulation-api

beb686a6a97addee5cacbaa02f9c5ad04b0845d9

[ "MIT" ]

1

2017-01-16T15:32:47.000Z

server/models.py

mpetyx/smart-house-simulation-api

beb686a6a97addee5cacbaa02f9c5ad04b0845d9

[ "MIT" ]

null

server/models.py

mpetyx/smart-house-simulation-api

beb686a6a97addee5cacbaa02f9c5ad04b0845d9

[ "MIT" ]

null

__author__ = 'mpetyx' from django.contrib.auth.models import User from django.db import models class Value(models.Model): timestamp = models.DateField(auto_now_add=True) metric = models.TextField() class Buffer(models.Model): description = models.TextField() refresh_rate = models.FloatField() created = models.DateField() updated = models.DateField() state = models.BooleanField(default=True) label = models.TextField() class Plug(Buffer): # Prizes mono On/Off pass class Sensor(Buffer): # analink + digital for movement sensor values = models.ManyToManyField(Value, null=True, blank=True) class Counter(Buffer): # kwatt = models.OneToOneField(Value,related_name="1") kwh1 = models.OneToOneField(Value,related_name="2") kwh2 = models.OneToOneField(Value,related_name="3") kwh3 = models.OneToOneField(Value,related_name="4") kwhtotal = models.OneToOneField(Value,related_name="5") voltage = models.OneToOneField(Value,related_name="6") ampere = models.OneToOneField(Value,related_name="7") pf = models.OneToOneField(Value,related_name="8") class Building(models.Model): pass class ElectriCar(models.Model): pass class StreetLighting(models.Model): pass

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84057e6648c62c5e77ba6d34d56087a2f71ca00a

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py

Python

example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/P/proton mass in u.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/P/proton mass in u.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/P/proton mass in u.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

1

2021-02-04T04:51:48.000Z

constants.physical_constants["proton mass in u"]

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0.833333

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48

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null

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null

0

1

0

4

84244f9ad9e25001bbc6636c4edf122fc967075b

161

py

Python

assets/openblas/openblas.py

karlmutch/studio-go-runner

b3072e3b9f0771a2caf017c02622709cce7338b0

[ "Apache-2.0" ]

1

2018-07-05T19:21:32.000Z

assets/openblas/openblas.py

karlmutch/studio-go-runner

b3072e3b9f0771a2caf017c02622709cce7338b0

[ "Apache-2.0" ]

186

2018-12-19T02:17:19.000Z

2021-09-23T01:08:42.000Z

assets/openblas/openblas.py

karlmutch/studio-go-runner

b3072e3b9f0771a2caf017c02622709cce7338b0

[ "Apache-2.0" ]

10

2019-01-23T19:02:10.000Z

2021-09-23T00:23:12.000Z

32.2

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null

0

1

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1

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4

8431605a228bca594e2d95fec82b7c7b945b8da0

116

py

Python

network/practice/Basic/Demo01/Basic02.py

walkingtyphoon/Python-workspace

e872bce82b2bac3dd5d809f8576345ccc1c6afb7

[ "Apache-2.0" ]

null

network/practice/Basic/Demo01/Basic02.py

walkingtyphoon/Python-workspace

e872bce82b2bac3dd5d809f8576345ccc1c6afb7

[ "Apache-2.0" ]

null

network/practice/Basic/Demo01/Basic02.py

walkingtyphoon/Python-workspace

e872bce82b2bac3dd5d809f8576345ccc1c6afb7

[ "Apache-2.0" ]

null

# 编写一个 Java 程序在屏幕上输出 1！+2！+3！+……+10！的和。（循环） cou = 0 for i in range(10): cou += i print("1！+2！+3！+……+10！=", cou)

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null

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4

f263f9f0920db2046f1334e676dc497e6cf05033

195

py

Python

lib/python2.7/site-packages/channels/test/http.py

briansok/derpi

0e111a84b17ce8caeb60d2899957a0a24cab47b3

[ "MIT" ]

null

lib/python2.7/site-packages/channels/test/http.py

briansok/derpi

0e111a84b17ce8caeb60d2899957a0a24cab47b3

[ "MIT" ]

null

lib/python2.7/site-packages/channels/test/http.py

briansok/derpi

0e111a84b17ce8caeb60d2899957a0a24cab47b3

[ "MIT" ]

1

2018-05-08T05:59:13.000Z

import warnings warnings.warn( "test.http.HttpClient is deprecated. Use test.websocket.WSClient", DeprecationWarning, ) from .websocket import WSClient as HttpClient # NOQA isort:skip

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f26a04912f886618b9f6c42d6cafc46647136432

68

py

Python

manta_lab/dtypes/graph.py

coxwave/manta

fc55357e139dbf61854595475f401656440d53aa

[ "MIT" ]

17

2021-11-19T08:26:33.000Z

2022-01-27T10:22:09.000Z

manta_lab/dtypes/graph.py

coxwave/manta

fc55357e139dbf61854595475f401656440d53aa

[ "MIT" ]

95

2021-11-19T05:29:22.000Z

2022-03-03T09:39:46.000Z

manta_lab/dtypes/graph.py

coxwave/manta

fc55357e139dbf61854595475f401656440d53aa

[ "MIT" ]

2

2021-12-10T07:31:54.000Z

2021-12-10T07:43:37.000Z

class Node: pass class Edge: pass class Graph: pass

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null

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4

f27b7694b1522f3eebaa522e997fd539d19e0410

1,647

py

Python

tests/cloud_dataset_test.py

lrq3000/vaex

00c83d1fe2b73330705ef63e649abc9dfc8f2478

[ "MIT" ]

null

tests/cloud_dataset_test.py

lrq3000/vaex

00c83d1fe2b73330705ef63e649abc9dfc8f2478

[ "MIT" ]

null

tests/cloud_dataset_test.py

lrq3000/vaex

00c83d1fe2b73330705ef63e649abc9dfc8f2478

[ "MIT" ]

null

import vaex import pytest fs_options = {'anonymous': 'true'} @pytest.mark.skipif(vaex.utils.devmode, reason='runs too slow when developing') @pytest.mark.parametrize("base_url", ["gs://vaex-data", "s3://vaex"]) @pytest.mark.parametrize("cache", ["true", "false"]) def test_cloud_dataset_basics(base_url, cache): df = vaex.open(f'{base_url}/testing/xys.hdf5?cache={cache}', fs_options=fs_options) assert df.x.tolist() == [1, 2] assert df.y.tolist() == [3, 4] assert df.s.tolist() == ['5', '6'] assert df.x.count() == 2 assert df.x.sum() == 3 @pytest.mark.skipif(vaex.utils.devmode, reason='runs too slow when developing') @pytest.mark.parametrize("base_url", ["gs://vaex-data", "s3://vaex"]) @pytest.mark.parametrize("cache", ["true", "false"]) def test_cloud_dataset_masked(base_url, cache): df = vaex.open(f'{base_url}/testing/xys-masked.hdf5?cache={cache}', fs_options=fs_options) assert df.x.tolist() == [1, None] assert df.y.tolist() == [None, 4] assert df.s.tolist() == ['5', None] assert df.x.count() == 1 assert df.s.count() == 1 assert df.x.sum() == 1 @pytest.mark.skipif(vaex.utils.devmode, reason='runs too slow when developing') @pytest.mark.parametrize("base_url", ["gs://vaex-data", "s3://vaex"]) def test_cloud_glob(base_url): assert set(vaex.file.glob(f'{base_url}/testing/*.hdf5', fs_options=fs_options)) >= ({f'{base_url}/testing/xys-masked.hdf5', f'{base_url}/testing/xys.hdf5'}) assert set(vaex.file.glob(f'{base_url}/testing/*.hdf5?anonymous=true')) >= ({f'{base_url}/testing/xys-masked.hdf5?anonymous=true', f'{base_url}/testing/xys.hdf5?anonymous=true'})

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0

null

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1

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f29e0b22741db51a0768166bb73d3ccac69e17ce

352

py

Python

app/models/dbmodel.py

uendelflavio/claraideia-backend

607199e3961a59ea52474c067172fbc4c5bca89a

[ "MIT" ]

null

app/models/dbmodel.py

uendelflavio/claraideia-backend

607199e3961a59ea52474c067172fbc4c5bca89a

[ "MIT" ]

null

app/models/dbmodel.py

uendelflavio/claraideia-backend

607199e3961a59ea52474c067172fbc4c5bca89a

[ "MIT" ]

1

2020-01-28T00:14:50.000Z

from datetime import datetime from typing import Optional from pydantic import BaseModel, Schema class DateTimeModelMixin(BaseModel): created_at: Optional[datetime] = Schema(..., alias="createdAt") updated_at: Optional[datetime] = Schema(..., alias="updatedAt") class DBModelMixin(DateTimeModelMixin): id: Optional[str] = None

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1

0

4

f2a8d450a94ed1fb63a42b11a79ea8e0e9168901

164

py

Python

vizdoomaze/envs/vizdoomazethree13.py

fanyuzeng/Vizdoomaze

5b444f2d861c908c4d96ae374bcce660d364f22e

[ "MIT" ]

3

2020-09-25T16:00:49.000Z

2020-10-29T10:32:30.000Z

vizdoomaze/envs/vizdoomazethree13.py

fanyuzeng/Vizdoomaze

5b444f2d861c908c4d96ae374bcce660d364f22e

[ "MIT" ]

null

vizdoomaze/envs/vizdoomazethree13.py

fanyuzeng/Vizdoomaze

5b444f2d861c908c4d96ae374bcce660d364f22e

[ "MIT" ]

1

2021-12-17T07:50:47.000Z

from vizdoomaze.envs.vizdoomenv import VizdoomEnv class vizdoomazeThree13(VizdoomEnv): def __init__(self): super(vizdoomazeThree13, self).__init__(66)

27.333333

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4b330cb01156d811df48930fbf5ad25280ed44c2

175

py

Python

pyrelease/templates/manifest_in.py

pyrelease/PyRelease

0f8fac5dd19bd50fed047a9570bcd05101b50d08

[ "MIT" ]

1

2018-07-19T20:38:18.000Z

pyrelease/templates/manifest_in.py

pyrelease/pyrelease

0f8fac5dd19bd50fed047a9570bcd05101b50d08

[ "MIT" ]

null

pyrelease/templates/manifest_in.py

pyrelease/pyrelease

0f8fac5dd19bd50fed047a9570bcd05101b50d08

[ "MIT" ]

null

TEMPLATE = """\ # Include the license file include LICENSE.md include README.rst # Include the data files {include_data_files} # Include the docs # {include_docs_folder} """

15.909091

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4b5bfea11d1bf7ea5998d8f6baf594dd9d3233d2

5,379

py

Python

tests/functions/test_customize.py

Sorrybabe/geniust

4bfd32e45c96e7de69d5c22119cb12b7c2902eed

[ "MIT" ]

4

2021-08-08T20:45:04.000Z

2022-03-29T20:55:42.000Z

tests/functions/test_customize.py

Sorrybabe/geniust

4bfd32e45c96e7de69d5c22119cb12b7c2902eed

[ "MIT" ]

1

2021-08-22T20:26:21.000Z

2021-12-09T06:34:21.000Z

tests/functions/test_customize.py

Sorrybabe/geniust

4bfd32e45c96e7de69d5c22119cb12b7c2902eed

[ "MIT" ]

1

2021-09-29T17:49:11.000Z

import pytest from geniust import constants from geniust.functions import customize @pytest.mark.parametrize( "lyrics_language", ["English", "Non-English", "English + Non-English"] ) def test_cusotmize_menu(update_callback_query, context, lyrics_language): update = update_callback_query context.user_data["lyrics_lang"] = lyrics_language res = customize.customize_menu(update, context) keyboard = update.callback_query.edit_message_text.call_args[1]["reply_markup"][ "inline_keyboard" ] assert len(keyboard) == 3 update.callback_query.answer.assert_called_once() assert res == constants.END @pytest.mark.parametrize( "update, option", [ (pytest.lazy_fixture("update_callback_query"), constants.ONLY_ENGLIGH), (pytest.lazy_fixture("update_callback_query"), constants.ONLY_NON_ENGLISH), ( pytest.lazy_fixture("update_callback_query"), constants.ENGLISH_AND_NON_ENGLISH, ), (pytest.lazy_fixture("update_callback_query"), constants.LYRICS_LANG), (pytest.lazy_fixture("update_callback_query"), "invalid"), (pytest.lazy_fixture("update_message"), None), ], ) def test_lyrics_language(update, context, option): if update.callback_query: update.callback_query.data = str(option) res = customize.lyrics_language(update, context) if update.callback_query and option != constants.LYRICS_LANG: if option == constants.ONLY_ENGLIGH: assert context.user_data["lyrics_lang"] == "English" elif option == constants.ONLY_NON_ENGLISH: assert context.user_data["lyrics_lang"] == "Non-English" elif option == constants.ENGLISH_AND_NON_ENGLISH: assert context.user_data["lyrics_lang"] == "English + Non-English" else: return assert res == constants.END update.callback_query.answer.assert_called_once() context.bot_data["db"].update_lyrics_language.assert_called_once() else: if update.callback_query: keyboard = update.callback_query.edit_message_text.call_args[1][ "reply_markup" ]["inline_keyboard"] else: keyboard = update.message.reply_text.call_args[1]["reply_markup"][ "inline_keyboard" ] assert len(keyboard) == 4 assert res == constants.END @pytest.mark.parametrize( "update, option", [ (pytest.lazy_fixture("update_callback_query"), "bot_lang"), (pytest.lazy_fixture("update_callback_query"), "bot_lang_en"), (pytest.lazy_fixture("update_callback_query"), "bot_lang_fa"), (pytest.lazy_fixture("update_callback_query"), "invalid"), (pytest.lazy_fixture("update_message"), None), ], ) def test_bot_language(update, context, option): if update.callback_query: update.callback_query.data = str(option) res = customize.bot_language(update, context) if update.callback_query and option != "bot_lang": if option != "invalid": assert context.user_data["bot_lang"] == option.replace("bot_lang_", "") else: return update.callback_query.answer.assert_called_once() context.bot_data["db"].update_bot_language.assert_called_once() assert res == constants.END else: if update.callback_query: keyboard = update.callback_query.edit_message_text.call_args[1][ "reply_markup" ]["inline_keyboard"] else: keyboard = update.message.reply_text.call_args[1]["reply_markup"][ "inline_keyboard" ] assert len(keyboard) == len(list(context.bot_data["texts"])) + 1 assert res == constants.END @pytest.mark.parametrize( "update, option", [ (pytest.lazy_fixture("update_callback_query"), constants.INCLUDE_ANNOTATIONS), ( pytest.lazy_fixture("update_callback_query"), constants.DONT_INCLUDE_ANNOTATIONS, ), (pytest.lazy_fixture("update_callback_query"), "invalid"), (pytest.lazy_fixture("update_callback_query"), constants.INCLUDE), (pytest.lazy_fixture("update_message"), None), ], ) def test_include_annotations(update, context, option): if update.callback_query: update.callback_query.data = str(option) res = customize.include_annotations(update, context) if update.callback_query and option != constants.INCLUDE: if option == constants.INCLUDE_ANNOTATIONS: assert context.user_data["include_annotations"] is True elif option == constants.DONT_INCLUDE_ANNOTATIONS: assert context.user_data["include_annotations"] is False else: return update.callback_query.answer.assert_called_once() context.bot_data["db"].update_include_annotations.assert_called_once() assert res == constants.END else: if update.callback_query: keyboard = update.callback_query.edit_message_text.call_args[1][ "reply_markup" ]["inline_keyboard"] else: keyboard = update.message.reply_text.call_args[1]["reply_markup"][ "inline_keyboard" ] assert len(keyboard) == 3 assert res == constants.END

35.86

86

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5,379

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null

0

1

0

1

0

null

0

4

4b5fa8fa8536cdf2efd249216b6b2568f5d36cd9

44

py

Python

tests/class_free.py

ZYAZP/python2

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

1,062

2015-11-18T01:04:33.000Z

2022-03-29T07:13:30.000Z

tests/class_free.py

ArrowSides/onelinerizer

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

26

2015-11-17T06:58:07.000Z

2022-01-15T18:11:16.000Z

tests/class_free.py

ArrowSides/onelinerizer

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

100

2015-11-17T09:01:22.000Z

2021-09-12T13:58:28.000Z

def f(x): class c: print x f(3)

8.8

15

0.431818

9

44

2.111111

0.777778

0

0.04

0.431818

44

4

16

11

0.72

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null

0

null

0.25

1

0

null

0

1

0

null

0

1

0

4

4b73545ab55ee4a6795cc072001b99097c1e7511

94

py

Python

gitlab_freak/scripts/gitlab-freak-run.py

Pegase745/gitlab-freak

a8eb6170375334350f1f12894a969ddaae928426

[ "MIT" ]

8

2015-10-06T16:38:53.000Z

2020-07-04T07:00:32.000Z

gitlab_freak/scripts/gitlab-freak-run.py

Pegase745/gitlab-to-trello

a8eb6170375334350f1f12894a969ddaae928426

[ "MIT" ]

null

gitlab_freak/scripts/gitlab-freak-run.py

Pegase745/gitlab-to-trello

a8eb6170375334350f1f12894a969ddaae928426

[ "MIT" ]

2

2015-10-06T16:41:17.000Z

2018-11-26T00:51:19.000Z

#!/usr/bin/env python from gitlab_freak import app app.run('0.0.0.0', port=5678, debug=True)

18.8

41

0.712766

19

94

3.473684

0.789474

0.090909

0

0.095238

0.106383

94

4

42

23.5

0.690476

0.212766

0

0.09589

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0.5

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0

1

0

null

0

1

0

1

0

4

4b8a239bedc2a62647c1a7e2c4772bd6dc5c29e3

414

py

Python

Desafios/exerc13.py

pedronb/Exercicios-Python

54db2ce48bbbba94a4ac25b32b3c1fd985347857

[ "MIT" ]

null

Desafios/exerc13.py

pedronb/Exercicios-Python

54db2ce48bbbba94a4ac25b32b3c1fd985347857

[ "MIT" ]

null

Desafios/exerc13.py

pedronb/Exercicios-Python

54db2ce48bbbba94a4ac25b32b3c1fd985347857

[ "MIT" ]

null

# Exercício Python 13: Desenvolva um programa que pergunte a distância de uma viagem em Km. Calcule o preço da passagem, cobrando R$0,50 por Km para viagens de até 200Km e R$0,45 parta viagens mais longas. dist = float(input('Insira a distância da viagem em km: ')) if dist <= 200.00: print(f'O preço da passagem será: R$ {dist * 0.50:.2f}') else: print(f'O preço da passagem será: R$ {dist * 0.45:.2f}')

51.75

205

0.700483

78

414

3.717949

0.589744

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0.082759

0.165517

0.22069

0

0.071429

0.188406

414

8

206

51.75

0.791667

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1

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false

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0.4

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null

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1

0

1

0

null

0

1

0

4

4bbcea00f9a0ec492dfd0dce95b4e55212c599a2

235

py

Python

taggit_autocomplete_jqueryui/urls.py

eliksir/django_taggit_autocomplete_jqueryui

25b6852d219f4d83c852b70671c0a7abfe97ad04

[ "BSD-2-Clause" ]

null

taggit_autocomplete_jqueryui/urls.py

eliksir/django_taggit_autocomplete_jqueryui

25b6852d219f4d83c852b70671c0a7abfe97ad04

[ "BSD-2-Clause" ]

null

taggit_autocomplete_jqueryui/urls.py

eliksir/django_taggit_autocomplete_jqueryui

25b6852d219f4d83c852b70671c0a7abfe97ad04

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- from django.conf.urls.defaults import patterns, url urlpatterns = patterns('taggit_autocomplete_jqueryui.views', url(r'^json$', 'tag_list_view', name='taggit_autocomplete_jqueryui_tag_list'), )

29.375

60

0.710638

29

235

5.482759

0.758621

0.226415

0.327044

0

0.004975

0.144681

235

7

61

33.571429

0.78607

0.089362

0

0.424528

0.334906

0

1

0

false

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

4

29da3ae22fcb1d820e672161e4f610c3fb229184

360

py

Python

pysmartnode/logging/__init__.py

Nabla128k/pysmartnode

a0998ad6582a28fe5a0529fb15dd4f61e254d25f

[ "MIT" ]

82

2018-07-24T18:30:41.000Z

2022-03-10T06:13:15.000Z

pysmartnode/logging/__init__.py

Nabla128k/pysmartnode

a0998ad6582a28fe5a0529fb15dd4f61e254d25f

[ "MIT" ]

15

2020-02-08T21:20:09.000Z

2021-03-15T09:13:28.000Z

pysmartnode/logging/__init__.py

Nabla128k/pysmartnode

a0998ad6582a28fe5a0529fb15dd4f61e254d25f

[ "MIT" ]

23

2018-07-24T18:30:42.000Z

2021-12-12T10:03:44.000Z

from sys import platform from pysmartnode import config import gc if hasattr(config, "LIGTWEIGHT_LOG") and config.LIGTWEIGHT_LOG is True or \ platform == "esp8266" and hasattr(config, "LIGTWEIGHT_LOG") is False: from pysmartnode.logging.logging_light import getLogger else: from pysmartnode.logging.logging_full import getLogger gc.collect()

30

77

0.777778

48

360

5.729167

0.479167

0.163636

0.207273

0.189091

0

0.013115

0.152778

360

11

78

32.727273

0.888525

0

0.097222

0

1

0

true

0

0.555556

0

0.555556

0

null

0

1

0

null

0

1

0

1

0

4

4b02b9b8258c5521d5ff972912463a19e5ba987e

391

py

Python

src/charma/search/component.py

mononobi/charma-server

ed90f5ec0b5ff3996232d5fe49a4f77f96d82ced

[ "BSD-3-Clause" ]

1

2020-01-16T23:36:10.000Z

src/charma/search/component.py

mononobi/imovie-server

ed90f5ec0b5ff3996232d5fe49a4f77f96d82ced

[ "BSD-3-Clause" ]

24

2020-06-08T18:27:04.000Z

2021-06-06T12:01:39.000Z

src/charma/search/component.py

mononobi/charma-server

ed90f5ec0b5ff3996232d5fe49a4f77f96d82ced

[ "BSD-3-Clause" ]

1

2020-12-20T05:29:04.000Z

# -*- coding: utf-8 -*- """ search component module. """ from pyrin.application.decorators import component from pyrin.application.structs import Component from charma.search import SearchPackage from charma.search.manager import SearchManager @component(SearchPackage.COMPONENT_NAME) class SearchComponent(Component, SearchManager): """ search component class. """ pass

20.578947

50

0.759591

41

391

7.219512

0.487805

0.101351

0.135135

0

0.002985

0.143223

391

18

51

21.722222

0.880597

0.181586

0

1

0

true

0.142857

0.571429

0

0.714286

0

null

0

null

0

1

0

1

0

4

4b03996bae5773ba8ff28ee87daddeeab05f5b39

204

py

Python

tests/ut_repytests_testsafeallowsdocstrings.py

SeattleTestbed/repy_v1

f40a02e2e398b1ec67fede84b41a264ae7356d2c

[ "MIT" ]

1

2021-08-18T05:58:17.000Z

tests/ut_repytests_testsafeallowsdocstrings.py

SeattleTestbed/repy_v1

f40a02e2e398b1ec67fede84b41a264ae7356d2c

[ "MIT" ]

3

2015-11-17T21:01:03.000Z

2016-07-14T09:08:04.000Z

tests/ut_repytests_testsafeallowsdocstrings.py

SeattleTestbed/repy_v1

f40a02e2e398b1ec67fede84b41a264ae7356d2c

[ "MIT" ]

5

2015-07-02T13:29:23.000Z

2021-09-25T07:48:30.000Z

""" Author: Justin Cappos Description: It should be okay to put __ in a doc string... """ #pragma repy def foo(): """__ should also be allowed here__""" pass class bar: """__ and here__""" pass

13.6

46

0.647059

29

204

4.206897

0.862069

0.131148

0

0.215686

204

14

47

14.571429

0.7625

0.686275

0

0.5

0

1

0.25

true

0.5

0

0.5

0

1

0

null

0

null

0

1

0

4

4b12b100c24e970c8a0b3af27e52fcb7fd00d6e4

192

py

Python

gemini/logger.py

PacketFire/geo

928e34dc4a466b269edcf2b062219c7c6b91f50c

[ "Apache-2.0" ]

null

gemini/logger.py

PacketFire/geo

928e34dc4a466b269edcf2b062219c7c6b91f50c

[ "Apache-2.0" ]

52

2018-10-30T01:04:32.000Z

2021-05-06T08:02:42.000Z

gemini/logger.py

PacketFire/geo

928e34dc4a466b269edcf2b062219c7c6b91f50c

[ "Apache-2.0" ]

4

2018-10-30T15:40:14.000Z

2018-11-14T12:48:26.000Z

import logging.config import yaml def read_config(): with open('data/logging.yml', 'r') as fh: config = yaml.safe_load(fh.read()) logging.config.dictConfig(config)

19.2

46

0.645833

26

192

4.692308

0.615385

0.213115

0

0.223958

192

9

47

21.333333

0.818792

0

0.092896

0

1

0.166667

false

0

0.333333

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

4b168078659b4970cebf94ea415154a0c4097756

250

py

Python

framework3d/framework.py

Meatbag93/Framework

bbfac86ff08bd097ac284d9d0de5467c79e92436

[ "MIT" ]

null

framework3d/framework.py

Meatbag93/Framework

bbfac86ff08bd097ac284d9d0de5467c79e92436

[ "MIT" ]

null

framework3d/framework.py

Meatbag93/Framework

bbfac86ff08bd097ac284d9d0de5467c79e92436

[ "MIT" ]

1

2021-09-18T14:35:59.000Z

import random import math import os, platform, shutil import time import pygame from .data import * from .map import * from .menu3d import * from .speech import * from .sound3d import * from .misc import * from .timer import * from .window import *

16.666667

27

0.748

36

250

5.194444

0.472222

0.374332

0

0.009756

0.18

250

15

28

16.666667

0.902439

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

4

d9dddbba43789a27d56b69f23c213ac8041c2120

25

py

Python

queue_manager_api/api/src/constant/EmitterConstant.py

SamuelJansen/queue-manager-api

53e95eacb90025e2464b9d32fe0e37df4f344d18

[ "MIT" ]

null

queue_manager_api/api/src/constant/EmitterConstant.py

SamuelJansen/queue-manager-api

53e95eacb90025e2464b9d32fe0e37df4f344d18

[ "MIT" ]

null

queue_manager_api/api/src/constant/EmitterConstant.py

SamuelJansen/queue-manager-api

53e95eacb90025e2464b9d32fe0e37df4f344d18

[ "MIT" ]

null

URL = '/message/emitter'

12.5

24

0.68

3

25

5.666667

1

0

0.12

25

1

25

0.772727

0

0.64

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

8a085421166b2a38c717e6ab0fad213ad3a3fc8d

240

py

Python

aio_tcpserver/errors.py

Basic-Components/aio-tcpserver

39e90a9e77262640d548fdd15e6f80649f872400

[ "MIT" ]

7

2018-03-06T11:06:00.000Z

2022-03-31T09:24:49.000Z

aio_tcpserver/errors.py

Basic-Components/aio-tcpserver

39e90a9e77262640d548fdd15e6f80649f872400

[ "MIT" ]

1

2022-03-31T09:24:39.000Z

aio_tcpserver/errors.py

Basic-Components/aio-tcpserver

39e90a9e77262640d548fdd15e6f80649f872400

[ "MIT" ]

3

2019-12-11T07:12:20.000Z

2021-08-13T04:15:38.000Z

"""定义了服务器的错误. 包括: * ListenerError 钩子注册错误 * MultipleProcessDone 通过抛出这个异常来中断多进程任务的主进程循环 """ class ListenerError(Exception): """钩子注册错误.""" pass class MultipleProcessDone(Exception): """通过抛出这个异常来中断多进程任务的主进程循环.""" pass

12

45

0.695833

16

240

10.4375

0.5625

0

0.179167

240

19

46

12.631579

0.847716

0.491667

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

1

null

0

null

0

1

0

4

8a0b9f1bf0ff692ac4041cd5777085b53731cb23

828

py

Python

z2/part3/updated_part2_batch/jm/parser_errors_2/239604592.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/239604592.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/239604592.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 239604592 """ """ random actions, total chaos """ board = gamma_new(2, 2, 2, 3) assert board is not None assert gamma_move(board, 2, 1, 0) == 1 assert gamma_move(board, 2, 0, 0) == 1 assert gamma_move(board, 1, 0, 1) == 1 assert gamma_move(board, 1, 0, 1) == 0 assert gamma_move(board, 2, 1, 1) == 1 assert gamma_move(board, 2, 1, 0) == 0 assert gamma_move(board, 1, 1, 0) == 0 assert gamma_move(board, 1, 1, 1) == 0 assert gamma_free_fields(board, 1) == 0 assert gamma_move(board, 2, 0, 0) == 0 assert gamma_move(board, 2, 0, 0) == 0 assert gamma_golden_possible(board, 2) == 1 gamma_delete(board)

21.789474

43

0.677536

142

828

3.739437

0.204225

0.248588

0.282486

0.376648

0.472693

0.46516

0.295669

0.205273

0.112994

0

0.086053

0.18599

828

37

44

22.378378

0.70178

0

0.08

0

0.52

1

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false

0

0.04

0

0.04

0

null

1

0

null

0

1

0

4

8a1958977574026bfd57377d4e57dc602c21d650

31

py

Python

Apple.py

mymscmaye2019/PythonVSTutorial

958bac7ff3b5951cbfd4eb94293770ac55dda77f

[ "MIT" ]

7

2017-02-18T06:07:23.000Z

2021-03-11T09:07:28.000Z

Apple.py

mymscmaye2019/PythonVSTutorial

958bac7ff3b5951cbfd4eb94293770ac55dda77f

[ "MIT" ]

null

Apple.py

mymscmaye2019/PythonVSTutorial

958bac7ff3b5951cbfd4eb94293770ac55dda77f

[ "MIT" ]

3

2019-02-24T20:10:28.000Z

2020-08-14T18:51:00.000Z

msg = 'Hello World' print(msg)

10.333333

19

0.677419

5

31

4.2

0.8

0

0.16129

31

2

20

15.5

0.807692

0

0.354839

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

8a19f517be8fa68b7b5bcc04956ecc4c93318e99

43

py

Python

dictionaries.py

dharshini-raman/Q1_Python

5ac23c4773a6ec46176c37c1a4af6326749d5522

[ "Apache-2.0" ]

null

dictionaries.py

dharshini-raman/Q1_Python

5ac23c4773a6ec46176c37c1a4af6326749d5522

[ "Apache-2.0" ]

null

dictionaries.py

dharshini-raman/Q1_Python

5ac23c4773a6ec46176c37c1a4af6326749d5522

[ "Apache-2.0" ]

null

#Dictionaries d = {'user': 'bozo','pswd'

14.333333

27

0.581395

5

43

5

1

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0.162791

43

2

28

21.5

0.694444

0

0.428571

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

8a47d7cdd8ea0542d68f1cf5a2a76e609efb5727

172

py

Python

websockets/cookies/support/set-cookie.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

8

2019-04-09T21:13:05.000Z

2021-11-23T17:25:18.000Z

websockets/cookies/support/set-cookie.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

14

2019-03-18T20:11:48.000Z

2019-04-23T22:41:46.000Z

websockets/cookies/support/set-cookie.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

11

2019-04-12T01:20:16.000Z

2021-11-23T17:25:02.000Z

import urllib def main(request, response): response.headers.set('Set-Cookie', urllib.unquote(request.url_parts.query)) return [("Content-Type", "text/plain")], ""

28.666667

79

0.703488

22

172

5.454545

0.818182

0

0.116279

172

5

80

34.4

0.789474

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1

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null

0

1

0

1

0

4

8a75d2b2f269218b8b99ec3186309b2ec589ee7e

35

py

Python

helloworld/hello_world.py

iVinci-YoshihiroFujita/python_study

e6fe587a7da0f6dd432ae6707e25b4a48fc5dc07

[ "Apache-2.0" ]

null

helloworld/hello_world.py

iVinci-YoshihiroFujita/python_study

e6fe587a7da0f6dd432ae6707e25b4a48fc5dc07

[ "Apache-2.0" ]

null

helloworld/hello_world.py

iVinci-YoshihiroFujita/python_study

e6fe587a7da0f6dd432ae6707e25b4a48fc5dc07

[ "Apache-2.0" ]

null

hello = 'hello world' print(hello)

11.666667

21

0.714286

5

35

5

0.6

0

0.142857

35

3

22

11.666667

0.833333

0

0.305556

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

8a8c20c1aac02a6705a999af39f40cf7a7fa8d18

185

py

Python

vmaig_blog/uwsgi-2.0.14/plugins/xslt/uwsgiplugin.py

StanYaha/Blog

3cb38918e14ebe6ce2e2952ef272de116849910d

[ "BSD-3-Clause" ]

1

2018-11-24T16:10:49.000Z

vmaig_blog/uwsgi-2.0.14/plugins/xslt/uwsgiplugin.py

StanYaha/Blog

3cb38918e14ebe6ce2e2952ef272de116849910d

[ "BSD-3-Clause" ]

null

vmaig_blog/uwsgi-2.0.14/plugins/xslt/uwsgiplugin.py

StanYaha/Blog

3cb38918e14ebe6ce2e2952ef272de116849910d

[ "BSD-3-Clause" ]

null

import os NAME='xslt' CFLAGS = os.popen('xslt-config --cflags').read().rstrip().split() LDFLAGS = [] LIBS = os.popen('xslt-config --libs').read().rstrip().split() GCC_LIST = ['xslt']

20.555556

65

0.643243

26

185

4.538462

0.538462

0.118644

0.186441

0.288136

0

0.102703

185

8

66

23.125

0.710843

0

0.248649

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false

0

0.166667

0

0.166667

0

1

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null

0

1

0

1

0

null

0

4

8a9582dbb871f3d910ea6c9d2f42d985b338f2b2

828

py

Python

applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/randomGeneratorWrapper.py

SADPR/Kratos

82d1e335d2e7e674f77022a3d91c958168805d59

[ "BSD-4-Clause" ]

null

applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/randomGeneratorWrapper.py

SADPR/Kratos

82d1e335d2e7e674f77022a3d91c958168805d59

[ "BSD-4-Clause" ]

null

applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/randomGeneratorWrapper.py

SADPR/Kratos

82d1e335d2e7e674f77022a3d91c958168805d59

[ "BSD-4-Clause" ]

null

# XMC imports from xmc.tools import dynamicImport # TODO RandomGeneratorWrapper must have a 'seed' attribute for reproducibility. Its generator method must support it. class RandomGeneratorWrapper(): """ This is a class is responsible for the generation of random inputs: scalars, fields, whatever. It is very similar to SolverWrapper: it handles calls to whatever tool (most likely external) is chosen for this task. Therefore, this is a barebone template from which tool-specific implementation will be fashioned, either by inheritance or pointers. """ def __init__(self, **keywordArgs): self.parameters = keywordArgs.get('parameters') self._generator = dynamicImport(keywordArgs.get('generator')) def realisation(self): return self._generator(*self.parameters)

39.428571

117

0.740338

101

828

6.009901

0.653465

0.019769

0.023064

0

0.189614

828

20

118

41.4

0.90462

0.573672

0

0.059375

0

0.05

0

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0.285714

false

0

0.285714

0.142857

0.857143

0

null

0

null

0

1

0

1

0

1

0

4

76df1fd0eec0ad29ad43981a749c046c137083f9

2,144

py

Python

src/data_handlers/data_containers.py

Maxim-Mushizky/aws_data_collector

11fbcbb4cbeee509285758d40cf2a88d77e1500c

[ "MIT" ]

1

2022-02-17T11:05:29.000Z

src/data_handlers/data_containers.py

Maxim-Mushizky/aws_data_collector

11fbcbb4cbeee509285758d40cf2a88d77e1500c

[ "MIT" ]

null

src/data_handlers/data_containers.py

Maxim-Mushizky/aws_data_collector

11fbcbb4cbeee509285758d40cf2a88d77e1500c

[ "MIT" ]

null

from dataclasses import dataclass, field from datetime import datetime from typing import ( List, Optional, Dict ) @dataclass(frozen=True) class Ids: image_id: Optional[str] = field(default_factory=str) instance_id: Optional[str] = field(default_factory=str) reservation_id: Optional[str] = field(default_factory=str) @dataclass(frozen=True) class NetworkSettings: ip6_address: List = field(default_factory=list) private_dns_name: str = field(default_factory=str) private_ip_address: str = field(default_factory=str) subnet_id: Optional[str] = field(default_factory=str) interface_type: Optional[str] = field(default_factory=str) status: Optional[str] = field(default_factory=str) @dataclass(frozen=True) class Tags: tags: Dict = field(default_factory=dict) @dataclass(frozen=True) class PlatformDetails: os: str = field(default_factory=str) @dataclass(frozen=True) class Specs: cpu: Dict = field(default_factory=dict) memory: int = field(default_factory=int) instance_type: str = field(default_factory=str) @dataclass(frozen=True) class Times: launch_time: Optional[datetime] = field(default=None) usage_operation_update_time: Optional[datetime] = field(default=None) @dataclass(frozen=True) class SecurityGroups: groups: List[Dict] = field(default_factory=list) @dataclass(frozen=True) class Placement: availability_zone: str = field(default_factory=str) @dataclass(frozen=True) class Token: access_key_id: str = field(default="default") secret_access_key: str = field(default="default") @dataclass(frozen=True) class EC2Data: token: Token = field(default_factory=Token) ids: Optional[Ids] = field(default=None) network_settings: Optional[NetworkSettings] = field(default=None) platform_details: Optional[PlatformDetails] = field(default=None) tags: Optional[Tags] = field(default=None) times: Optional[Times] = field(default=None) security_groups: Optional[SecurityGroups] = field(default=None) specs: Optional[Specs] = field(default=None) placement: Optional[Placement] = field(default=None)

27.844156

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0.743937

267

2,144

5.82397

0.228464

0.223794

0.207717

0.155627

0.404502

0.30418

0.236656

0.167846

0.073312

0

0.001091

0.145056

2,144

76

74

28.210526

0.847245

0

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0

0.00653

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true

0

0.053571

0

0.75

0

null

1

0

null

0

1

0

1

0

4

0a029858e666edb04ea8dc545ecdd71fd39cd7c2

91

py

Python

MyDjango/Mysite/quiztest/apps.py

Maurya232Abhishek/htmlcodecamp

02f911968cff200cf8fb641b11865f559b650bfb

[ "MIT" ]

null

MyDjango/Mysite/quiztest/apps.py

Maurya232Abhishek/htmlcodecamp

02f911968cff200cf8fb641b11865f559b650bfb

[ "MIT" ]

null

MyDjango/Mysite/quiztest/apps.py

Maurya232Abhishek/htmlcodecamp

02f911968cff200cf8fb641b11865f559b650bfb

[ "MIT" ]

null

from django.apps import AppConfig class QuiztestConfig(AppConfig): name = 'quiztest'

15.166667

33

0.758242

10

91

6.9

0.9

0

0.164835

91

5

34

18.2

0.907895

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1

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false

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0.333333

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null

0

1

0

null

0

1

0

1

0

4

0a19695418d45faf5731e14b6a809a20963e4544

21,136

py

Python

src/analyze/graph/analyze_training_progress.py

kishorekolli/deep_racer_guru

0a0a56103f395f958e8177ee0bd5ae1481f93d98

[ "MIT" ]

9

2020-07-31T03:04:24.000Z

2021-11-02T13:44:11.000Z

src/analyze/graph/analyze_training_progress.py

kishorekolli/deep_racer_guru

0a0a56103f395f958e8177ee0bd5ae1481f93d98

[ "MIT" ]

137

2020-08-04T08:04:11.000Z

2021-11-10T10:35:58.000Z

src/analyze/graph/analyze_training_progress.py

kishorekolli/deep_racer_guru

0a0a56103f395f958e8177ee0bd5ae1481f93d98

[ "MIT" ]

11

2020-06-24T23:38:38.000Z

2021-11-02T14:42:31.000Z

# # DeepRacer Guru # # Version 3.0 onwards # # Copyright (c) 2021 dmh23 # import tkinter as tk import numpy as np from matplotlib.artist import Artist from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from matplotlib.gridspec import GridSpec from matplotlib.axes import Axes from matplotlib.ticker import PercentFormatter from src.analyze.core.line_fitting import get_linear_regression, get_quadratic_regression, get_cubic_regression from src.analyze.graph.graph_analyzer import GraphAnalyzer from src.utils.lists import get_list_of_empty_lists from src.analyze.core.controls import EpisodeCheckButtonControl, StatsControl, \ GraphScaleControl, GraphLineFittingControl, EvaluationPairsControl, ShowFinalIterationControl, \ EpisodeTrainingRewardTypeControl class AnalyzeTrainingProgress(GraphAnalyzer): def __init__(self, guru_parent_redraw, matplotlib_canvas: FigureCanvasTkAgg, control_frame: tk.Frame, guru_parent_callback_for_episode_choice: callable): super().__init__(guru_parent_redraw, matplotlib_canvas, control_frame, guru_parent_callback_for_episode_choice) self.episode_control = EpisodeCheckButtonControl(guru_parent_redraw, control_frame, True) self._stats_control = StatsControl(guru_parent_redraw, control_frame) self._scale_control = GraphScaleControl(guru_parent_redraw, control_frame) self._line_fitting_control = GraphLineFittingControl(guru_parent_redraw, control_frame, False) self._evaluation_pairs_control = EvaluationPairsControl(guru_parent_redraw, control_frame) self._final_iteration_control = ShowFinalIterationControl(guru_parent_redraw, control_frame) self._episode_reward_type_control = EpisodeTrainingRewardTypeControl(guru_parent_redraw, control_frame) self._plotted_episode_ids = dict() def build_control_frame(self, control_frame): self.episode_control.add_to_control_frame() self._stats_control.add_to_control_frame() self._scale_control.add_to_control_frame() self._line_fitting_control.add_to_control_frame() self._evaluation_pairs_control.add_to_control_frame() self._final_iteration_control.add_to_control_frame() self._episode_reward_type_control.add_to_control_frame() def add_plots(self): if not self.all_episodes: return self._plotted_episode_ids = dict() gs = self.graph_figure.add_gridspec(1, 2, left=0.08, right=0.98, bottom=0.08, top=0.92) axes_left: Axes = self.graph_figure.add_subplot(gs[0, 0]) axes_right: Axes = self.graph_figure.add_subplot(gs[0, 1]) self.create_plot_iteration_vs_total_reward(axes_left) self.create_plot_iteration_vs_percent_complete(axes_right) def create_plot_iteration_vs_total_reward(self, axes): # Plot data show_final_iteration = self._final_iteration_control.show_final_iteration() reward_type_control = self._episode_reward_type_control if self.all_episodes and self.episode_control.show_all(): episodes = self.all_episodes if self._stats_control.show_median(): self.add_line_plot_iteration_vs_total_reward(axes, "All - Median", episodes, np.median, "C5") if self._stats_control.show_mean(): self.add_line_plot_iteration_vs_total_reward(axes, "All - Mean", episodes, np.mean, "C6") if self._stats_control.show_best(): self.add_line_plot_iteration_vs_total_reward(axes, "All - Best", episodes, np.max, "C7") if self._stats_control.show_worst(): self.add_line_plot_iteration_vs_total_reward(axes, "All - Worst", episodes, np.min, "C8") if self._line_fitting_control.show_scatter(): (plot_x, plot_y, episode_ids) = get_scatter_plot_data_iteration_vs_total_reward(episodes, show_final_iteration, reward_type_control) self.plot_scatter_data(axes, "All", plot_x, plot_y, "C1", episode_ids) if self.filtered_episodes and self.episode_control.show_filtered(): episodes = self.filtered_episodes if self._stats_control.show_median(): self.add_line_plot_iteration_vs_total_reward(axes, "Filtered - Median", episodes, np.median, "C1") if self._stats_control.show_mean(): self.add_line_plot_iteration_vs_total_reward(axes, "Filtered - Mean", episodes, np.mean, "C2") if self._stats_control.show_best(): self.add_line_plot_iteration_vs_total_reward(axes, "Filtered - Best", episodes, np.max, "C3") if self._stats_control.show_worst(): self.add_line_plot_iteration_vs_total_reward(axes, "Filtered - Worst", episodes, np.min, "C4") if self._line_fitting_control.show_scatter(): (plot_x, plot_y, episode_ids) = get_scatter_plot_data_iteration_vs_total_reward(episodes, show_final_iteration, reward_type_control) self.plot_scatter_data(axes, "Filtered", plot_x, plot_y, "C2", episode_ids) if self.episode_control.show_evaluations() and self._episode_reward_type_control.measure_total_event_rewards(): if self._stats_control.show_median(): self.add_line_plot_iteration_vs_evaluation_total_reward(axes, "Evaluations - Median", self.evaluation_phases, np.median, "C9") if self._stats_control.show_mean(): self.add_line_plot_iteration_vs_evaluation_total_reward(axes, "Evaluations - Mean", self.evaluation_phases, np.mean, "C10") if self._stats_control.show_best(): self.add_line_plot_iteration_vs_evaluation_total_reward(axes, "Evaluations - Best", self.evaluation_phases, np.max, "C11") if self._stats_control.show_worst(): self.add_line_plot_iteration_vs_evaluation_total_reward(axes, "Evaluations - Worst", self.evaluation_phases, np.min, "C12") if self._line_fitting_control.show_scatter(): (plot_x, plot_y) = self.get_scatter_plot_data_iteration_vs_evaluation_total_reward(self.evaluation_phases) self.plot_scatter_data(axes, "Evaluations", plot_x, plot_y, "C3", None) # Format the plot if self._episode_reward_type_control.measure_total_event_rewards(): axes.set_title("Total Event Reward Per Episode") elif self._episode_reward_type_control.measure_max_future_reward(): axes.set_title("Max Future Reward Per Episode") else: assert self._episode_reward_type_control.measure_mean_future_reward() axes.set_title("Mean Future Reward Per Episode") axes.set_xlabel("Training Iteration") if self.log_meta and self.is_fixed_scale(): best = self.log_meta.episode_stats.best_reward worst = self.log_meta.episode_stats.worst_reward if best != worst: border = 0.02 * (best - worst) axes.set_ybound(worst - border, best + border) if axes.has_data(): axes.legend(frameon=True, framealpha=0.8, shadow=True) def create_plot_iteration_vs_percent_complete(self, axes): show_final_iteration = self._final_iteration_control.show_final_iteration() # Plot data if self.episode_control.show_all(): episodes = self.all_episodes if self._stats_control.show_median(): self.add_line_plot_iteration_vs_percent_complete(axes, "All - Median", episodes, np.median, "C5") if self._stats_control.show_mean(): self.add_line_plot_iteration_vs_percent_complete(axes, "All - Mean", episodes, np.mean, "C6") if self._stats_control.show_best(): self.add_line_plot_iteration_vs_percent_complete(axes, "All - Best", episodes, np.max, "C7") if self._stats_control.show_worst(): self.add_line_plot_iteration_vs_percent_complete(axes, "All - Worst", episodes, np.min, "C8") if self._line_fitting_control.show_scatter(): (plot_x, plot_y, episode_ids) = get_scatter_plot_data_iteration_vs_percent_complete(episodes, show_final_iteration) self.plot_scatter_data(axes, "All", plot_x, plot_y, "C1", episode_ids) if self.filtered_episodes and self.episode_control.show_filtered(): episodes = self.filtered_episodes if self._stats_control.show_median(): self.add_line_plot_iteration_vs_percent_complete(axes, "Filtered - Median", episodes, np.median, "C1") if self._stats_control.show_mean(): self.add_line_plot_iteration_vs_percent_complete(axes, "Filtered - Mean", episodes, np.mean, "C2") if self._stats_control.show_best(): self.add_line_plot_iteration_vs_percent_complete(axes, "Filtered - Best", episodes, np.max, "C3") if self._stats_control.show_worst(): self.add_line_plot_iteration_vs_percent_complete(axes, "Filtered - Worst", episodes, np.min, "C4") if self._line_fitting_control.show_scatter(): (plot_x, plot_y, episode_ids) = get_scatter_plot_data_iteration_vs_percent_complete(episodes, show_final_iteration) self.plot_scatter_data(axes, "Filtered", plot_x, plot_y, "C2", episode_ids) if self.episode_control.show_evaluations(): if self._stats_control.show_median(): self.add_line_plot_iteration_vs_evaluation_percent_complete(axes, "Evaluations - Median", self.evaluation_phases, np.median, "C9") if self._stats_control.show_mean(): self.add_line_plot_iteration_vs_evaluation_percent_complete(axes, "Evaluations - Mean", self.evaluation_phases, np.mean, "C10") if self._stats_control.show_best(): self.add_line_plot_iteration_vs_evaluation_percent_complete(axes, "Evaluations - Best", self.evaluation_phases, np.max, "C11") if self._stats_control.show_worst(): self.add_line_plot_iteration_vs_evaluation_percent_complete(axes, "Evaluations - Worst", self.evaluation_phases, np.min, "C12") if self._line_fitting_control.show_scatter(): (plot_x, plot_y) = self.get_scatter_plot_data_iteration_vs_evaluation_percent_complete(self.evaluation_phases) self.plot_scatter_data(axes, "Evaluations", plot_x, plot_y, "C3", None) # Format the plot axes.set_title("Track Completion") axes.set_xlabel("Training Iteration") axes.yaxis.set_major_formatter(PercentFormatter()) if self.is_fixed_scale(): axes.set_ybound(0, 105) if axes.has_data(): axes.legend(frameon=True, framealpha=0.8, shadow=True) def is_fixed_scale(self): return self._scale_control.fixed_scale() def add_line_plot_iteration_vs_total_reward(self, axes: Axes, label, episodes, stat_method, colour): show_final_iteration = self._final_iteration_control.show_final_iteration() if not self._line_fitting_control.no_fitting(): (plot_x, plot_y) = get_line_plot_data_iteration_vs_total_reward(episodes, stat_method, show_final_iteration, self._episode_reward_type_control) self.plot_line_data(axes, label, plot_x, plot_y, colour) def add_line_plot_iteration_vs_evaluation_total_reward(self, axes: Axes, label, evaluation_phases, stat_method, colour): if not self._line_fitting_control.no_fitting(): (plot_x, plot_y) = self.get_line_plot_data_iteration_vs_evaluation_total_reward(evaluation_phases, stat_method) self.plot_line_data(axes, label, plot_x, plot_y, colour) def add_line_plot_iteration_vs_percent_complete(self, axes: Axes, label, episodes, stat_method, colour): show_final_iteration = self._final_iteration_control.show_final_iteration() if not self._line_fitting_control.no_fitting(): (plot_x, plot_y) = get_line_plot_data_iteration_vs_percent_complete(episodes, stat_method, show_final_iteration) self.plot_line_data(axes, label, plot_x, plot_y, colour) def add_line_plot_iteration_vs_evaluation_percent_complete(self, axes: Axes, label, evaluation_phases, stat_method, colour): if not self._line_fitting_control.no_fitting(): (plot_x, plot_y) = self.get_line_plot_data_iteration_vs_evaluation_percent_complete(evaluation_phases, stat_method) self.plot_line_data(axes, label, plot_x, plot_y, colour) def plot_line_data(self, axes: Axes, label: str, plot_x: np.ndarray, plot_y: np.ndarray, colour: str): if self._line_fitting_control.linear_fitting(): (x_values, y_values, r) = get_linear_regression(plot_x, plot_y) elif self._line_fitting_control.quadratic_fitting(): (x_values, y_values) = get_quadratic_regression(plot_x, plot_y) elif self._line_fitting_control.cubic_fitting(): (x_values, y_values) = get_cubic_regression(plot_x, plot_y) elif self._line_fitting_control.joined_fitting(): x_values = plot_x y_values = plot_y else: assert self._line_fitting_control.no_fitting() return axes.plot(x_values, y_values, colour, label=label) self._plot_solo_items(axes, x_values, y_values, colour) def plot_scatter_data(self, axes: Axes, label: str, plot_x: np.ndarray, plot_y: np.ndarray, colour: str, episode_ids): allow_picking = episode_ids is not None artist, = axes.plot(plot_x, plot_y, ".", color=colour, label=label, picker=allow_picking) if allow_picking: self._plotted_episode_ids[artist] = episode_ids def handle_chosen_item(self, item_index: int, artist: Artist): if artist in self._plotted_episode_ids: self._guru_parent_callback_for_episode_choice(self._plotted_episode_ids[artist][item_index]) def get_line_plot_data_iteration_vs_evaluation_total_reward(self, evaluation_phases, stat_method): plot_iteration = [] plot_data = [] previous_eval = None for i, this_eval in enumerate(evaluation_phases): if self._evaluation_pairs_control.show_combined() and i % 2 == 1: plot_value = stat_method(np.concatenate((this_eval.rewards, previous_eval.rewards))) plot_data.append(plot_value) plot_iteration.append(i - 0.5) elif ((self._evaluation_pairs_control.show_odd() and i % 2 == 1) or (self._evaluation_pairs_control.show_even() and i % 2 == 0) or self._evaluation_pairs_control.show_separate()): plot_data.append(stat_method(this_eval.rewards)) plot_iteration.append(i) previous_eval = this_eval return np.array(plot_iteration), np.array(plot_data) def get_line_plot_data_iteration_vs_evaluation_percent_complete(self, evaluation_phases, stat_method): plot_iteration = [] plot_data = [] previous_eval = None for i, this_eval in enumerate(evaluation_phases): if self._evaluation_pairs_control.show_combined() and i % 2 == 1: plot_value = stat_method(np.concatenate((this_eval.progresses, previous_eval.progresses))) plot_data.append(plot_value) plot_iteration.append(i - 0.5) elif ((self._evaluation_pairs_control.show_odd() and i % 2 == 1) or (self._evaluation_pairs_control.show_even() and i % 2 == 0) or self._evaluation_pairs_control.show_separate()): plot_data.append(stat_method(this_eval.progresses)) plot_iteration.append(i) previous_eval = this_eval return np.array(plot_iteration), np.array(plot_data) def get_scatter_plot_data_iteration_vs_evaluation_total_reward(self, evaluation_phases): plot_iteration = [] plot_data = [] for i, this_eval in enumerate(evaluation_phases): for r in this_eval.rewards: plot_iteration.append(i) plot_data.append(r) return np.array(plot_iteration), np.array(plot_data) def get_scatter_plot_data_iteration_vs_evaluation_percent_complete(self, evaluation_phases): plot_iteration = [] plot_data = [] for i, this_eval in enumerate(evaluation_phases): for r in this_eval.progresses: plot_iteration.append(i) plot_data.append(r) return np.array(plot_iteration), np.array(plot_data) def get_line_plot_data_iteration_vs_total_reward(episodes, stat_method, show_final_iteration: bool, reward_control: EpisodeTrainingRewardTypeControl): iteration_count = episodes[-1].iteration + 1 # Gather all the rewards into a list per iteration iteration_reward = get_list_of_empty_lists(iteration_count) for e in episodes: if reward_control.measure_total_event_rewards(): iteration_reward[e.iteration].append(e.total_reward) elif reward_control.measure_max_future_reward(): iteration_reward[e.iteration].append(np.max(e.discounted_future_rewards[0])) else: assert reward_control.measure_mean_future_reward() iteration_reward[e.iteration].append(np.mean(e.discounted_future_rewards[0])) if not show_final_iteration: iteration_count -= 1 iteration_reward = iteration_reward[:-1] # Build the plot data using numpy to get the average percent for each iteration plot_iteration = np.arange(0, iteration_count) plot_total_reward = np.zeros(iteration_count) for i, ir in enumerate(iteration_reward): if ir: plot_total_reward[i] = stat_method(np.array(ir)) else: plot_total_reward[i] = np.nan return plot_iteration, plot_total_reward def get_line_plot_data_iteration_vs_percent_complete(episodes, stat_method, show_final_iteration: bool): iteration_count = episodes[-1].iteration + 1 # Gather all the percentage completions into a list per iteration iteration_percent_complete = get_list_of_empty_lists(iteration_count) for e in episodes: iteration_percent_complete[e.iteration].append(e.percent_complete) if not show_final_iteration: iteration_count -= 1 iteration_percent_complete = iteration_percent_complete[:-1] # Build the plot data using numpy to get the average percent for each iteration plot_iteration = np.arange(0, iteration_count) plot_percent_complete = np.zeros(iteration_count) for i, ipc in enumerate(iteration_percent_complete): if ipc: plot_percent_complete[i] = stat_method(np.array(ipc)) else: plot_percent_complete[i] = np.nan return plot_iteration, plot_percent_complete def get_scatter_plot_data_iteration_vs_total_reward(episodes, show_final_iteration: bool, reward_control: EpisodeTrainingRewardTypeControl): max_iteration = episodes[-1].iteration if not show_final_iteration: max_iteration -= 1 plot_iteration = [] plot_data = [] episode_ids = [] for e in episodes: if e.iteration <= max_iteration: episode_ids.append(e.id) plot_iteration.append(e.iteration) if reward_control.measure_total_event_rewards(): plot_data.append(e.total_reward) elif reward_control.measure_max_future_reward(): plot_data.append(np.max(e.discounted_future_rewards[0])) else: assert reward_control.measure_mean_future_reward() plot_data.append(np.mean(e.discounted_future_rewards[0])) return np.array(plot_iteration), np.array(plot_data), episode_ids def get_scatter_plot_data_iteration_vs_percent_complete(episodes, show_final_iteration: bool): max_iteration = episodes[-1].iteration if not show_final_iteration: max_iteration -= 1 plot_iteration = [] plot_data = [] episode_ids = [] for e in episodes: if e.iteration <= max_iteration: episode_ids.append(e.id) plot_iteration.append(e.iteration) plot_data.append(e.percent_complete) return np.array(plot_iteration), np.array(plot_data), episode_ids

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4

0a1c21ccf10de1657e2c659e0831b6871fb6fca7

505

py

Python

yk_bit/utils.py

jppdpf/YK-BiT-SDK-Python-1

026fb6a1c59d989df18b2c453d1ef331c0a2b4cc

[ "MIT" ]

null

yk_bit/utils.py

jppdpf/YK-BiT-SDK-Python-1

026fb6a1c59d989df18b2c453d1ef331c0a2b4cc

[ "MIT" ]

null

yk_bit/utils.py

jppdpf/YK-BiT-SDK-Python-1

026fb6a1c59d989df18b2c453d1ef331c0a2b4cc

[ "MIT" ]

null

""" Utilities for the Python SDK of the YooniK BiometricInThings API. """ import yk_utils.apis class Key: """Manage YooniK BiometricInThings API Subscription Key.""" @classmethod def set(cls, key: str): """Set the Subscription Key. :param key: :return: """ yk_utils.apis.Key.set(key) class BaseUrl: """Manage YooniK BiometricInThings API Base URL.""" @classmethod def set(cls, base_url: str): yk_utils.apis.BaseUrl.set(base_url)

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null

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1

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4

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12,137

py

Python

tests/test_sd.py

pinetr2e/napkin

fb1da3d3b3b9fceb59a4adc1287a93393d0baa4c

[ "MIT" ]

190

2019-02-10T09:58:00.000Z

2022-03-31T21:14:11.000Z

tests/test_sd.py

pinetr2e/napkin

fb1da3d3b3b9fceb59a4adc1287a93393d0baa4c

[ "MIT" ]

9

2020-03-07T12:52:24.000Z

2022-03-25T13:37:25.000Z

tests/test_sd.py

pinetr2e/napkin

fb1da3d3b3b9fceb59a4adc1287a93393d0baa4c

[ "MIT" ]

7

2019-07-10T08:17:45.000Z

2021-06-17T04:22:28.000Z

import pytest from napkin import sd from napkin import sd_action class TestParams: def test_empty(self): assert "" == str(sd.Params(tuple(), dict())) def test_args(self): assert "abc, def" == str(sd.Params(('abc', 'def'), dict())) def test_args_kargs(self): assert "abc, foo=1" == str(sd.Params(('abc',), dict(foo=1))) class TestBase(object): def check(self, context, exp_actions): actions = context._sequence # This is for better debugging assert str(actions) == str(exp_actions) assert actions == exp_actions class TestTopLevel(TestBase): def test_call(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: bar.func() self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.ImplicitReturn(), ]) def test_call_twice(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: bar.func() bar.func2() self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.ImplicitReturn(), sd_action.Call(foo, bar, 'func2', sd.Params()), sd_action.ImplicitReturn(), ]) def test_call_with_return(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: bar.func().ret('val') self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.Return(sd.Params(('val',))), ]) def test_call_with_return_twice(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: bar.func().ret('val') bar.func2().ret('val2') self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.Return(sd.Params(('val',))), sd_action.Call(foo, bar, 'func2', sd.Params()), sd_action.Return(sd.Params(('val2',))), ]) def test_fail_when_separate_return_called(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: bar.func() with pytest.raises(sd.CallError): c.ret() def test_fail_when_top_level_caller_set_twice(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: bar.func() with pytest.raises(sd.TopLevelCallerError): with foo: bar.func() def test_noop_when_do_nothing_in_top_level_caller(self): c = sd.Context() foo = c.object('foo') with foo: pass self.check(c, [ ]) class TestSecondLevel(TestBase): def test_call(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') baz = c.object('baz') with foo: with bar.func(): baz.func2() self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.Call(bar, baz, 'func2', sd.Params()), sd_action.ImplicitReturn(), sd_action.ImplicitReturn(), ]) def test_call_twice(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') baz = c.object('baz') with foo: with bar.func(): baz.func2() baz.func3() self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.Call(bar, baz, 'func2', sd.Params()), sd_action.ImplicitReturn(), sd_action.Call(bar, baz, 'func3', sd.Params()), sd_action.ImplicitReturn(), sd_action.ImplicitReturn(), ]) def test_call_with_return(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') baz = c.object('baz') with foo: with bar.func(): baz.func2().ret() self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.Call(bar, baz, 'func2', sd.Params()), sd_action.Return(sd.Params()), sd_action.ImplicitReturn(), ]) def test_return_from_outside_func(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') baz = c.object('baz') with foo: with bar.func(): baz.func2() c.ret() self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.Call(bar, baz, 'func2', sd.Params()), sd_action.ImplicitReturn(), sd_action.Return(sd.Params()), ]) def test_fail_when_call_after_returning_from_outside_func(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') baz = c.object('baz') with foo: with bar.func(): baz.func2() c.ret() with pytest.raises(sd.CallError): baz.func3() def test_fail_when_return_again_from_outside_func(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') baz = c.object('baz') with foo: with bar.func(): baz.func2() c.ret() with pytest.raises(sd.ReturnError): c.ret() def test_return_from_outside_func_without_calling_any(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: with bar.func(): c.ret() self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.Return(sd.Params()), ]) def test_do_nothing_in_outside_func(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: with bar.func(): pass self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.ImplicitReturn(), ]) class TestCreate(TestBase): def test_simple(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: c.create(bar) self.check(c, [ sd_action.Call(foo, bar, '<<create>>', sd.Params(), flags='c'), sd_action.ImplicitReturn(), ]) def test_non_default_method(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: c.create(bar.new()) self.check(c, [ sd_action.Call(foo, bar, 'new', sd.Params(), flags='c'), sd_action.ImplicitReturn(), ]) def test_constructor_params(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: c.create(bar.new('a', name='bar')) self.check(c, [ sd_action.Call(foo, bar, 'new', params=sd.Params(('a',), dict(name='bar')), flags='c'), sd_action.ImplicitReturn(), ]) def test_call_others_in_constructor(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') baz = c.object('baz') with foo: with c.create(bar): baz.func() self.check(c, [ sd_action.Call(foo, bar, '<<create>>', sd.Params(), flags='c'), sd_action.Call(bar, baz, 'func', sd.Params()), sd_action.ImplicitReturn(), sd_action.ImplicitReturn(), ]) def test_fail_if_called_at_top_level(self): c = sd.Context() with pytest.raises(sd.CreateError): bar = c.object('bar') c.create(bar) def test_fail_if_create_object_already_being_used(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: bar.func() with pytest.raises(sd.CreateError): c.create(bar) def test_fail_if_create_object_twice(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: c.create(bar) with pytest.raises(sd.CreateError): c.create(bar) class TestDestroy(TestBase): def test_simple(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: bar.func() c.destroy(bar) self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.ImplicitReturn(), sd_action.Call(foo, bar, '<<destroy>>', sd.Params(), flags='d'), sd_action.ImplicitReturn(), ]) def test_fail_when_call_destroyed_object(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: c.destroy(bar) with pytest.raises(sd.CallError): bar.func() def test_call_other_methods_of_the_same_object_from_destructr(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: with c.destroy(bar): bar.func() def test_fail_when_destroy_twice_the_same_object(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: c.destroy(bar) with pytest.raises(sd.CallError): c.destroy(bar) def test_fail_if_called_at_top_level(self): c = sd.Context() foo = c.object('foo') with pytest.raises(sd.DestroyError): c.destroy(foo) class TestNote(TestBase): def test_over_object_implicit(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: c.note('blah') bar.func() self.check(c, [ sd_action.Note('blah', obj=foo), sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.ImplicitReturn(), ]) def test_over_object_explicit(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') with foo: foo.note('blah') bar.note('blah2') bar.func() self.check(c, [ sd_action.Note('blah', obj=foo), sd_action.Note('blah2', obj=bar), sd_action.Call(foo, bar, 'func', sd.Params()), sd_action.ImplicitReturn(), ]) def test_call_specific(self): c = sd.Context() foo = c.object('foo') bar = c.object('bar') baz = c.object('baz') with foo: bar.func().note('callee side note') baz.func().note(caller='caller side note', callee='callee side note') baz.func2().note('note').ret('val') self.check(c, [ sd_action.Call(foo, bar, 'func', sd.Params(), notes=['callee side note', None]), sd_action.ImplicitReturn(), sd_action.Call(foo, baz, 'func', sd.Params(), notes=['callee side note', 'caller side note']), sd_action.ImplicitReturn(), sd_action.Call(foo, baz, 'func2', sd.Params(), notes=['note', None]), sd_action.Return(sd.Params(('val',))), ]) class TestOutside(TestBase): def test_fail_as_callee(self): c = sd.Context() foo = c.object('foo') outside = c.outside() with foo: with pytest.raises(sd.CallError, match='Cannot be invoked to the outside'): outside.func()

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1

0

1

0

null

0

4

0a6ec2ac689878dd4f24c139c49f4c236431afc4

101

py

Python

soonq/__init__.py

n8jhj/SoonQ

5a2f34c98aa8020cc9c6563d6e8e274f05feda2a

[ "MIT" ]

null

soonq/__init__.py

n8jhj/SoonQ

5a2f34c98aa8020cc9c6563d6e8e274f05feda2a

[ "MIT" ]

null

soonq/__init__.py

n8jhj/SoonQ

5a2f34c98aa8020cc9c6563d6e8e274f05feda2a

[ "MIT" ]

null

from . import commands from .task import BaseTask from .utils import echo from .worker import Worker

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0

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0

1

0

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6a6af7c5596ecab8b2c16f17546ee1c6b59fd956

185

py

Python

Plugins/PluginInterface.py

swrlly/Midnight

b4375002761a13a09a6c3085e9b34384b28227ba

[ "MIT" ]

2

2021-11-18T13:38:52.000Z

2021-11-19T04:15:24.000Z

Plugins/PluginInterface.py

swrlly/Midnight

b4375002761a13a09a6c3085e9b34384b28227ba

[ "MIT" ]

null

Plugins/PluginInterface.py

swrlly/Midnight

b4375002761a13a09a6c3085e9b34384b28227ba

[ "MIT" ]

null

class PluginInterface: hooks = {} load = False defaultState = False def getAuthor(self) -> str: return "" def getCommands(self) -> list: return []

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1

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null

0

null

0

1

0

1

0

4

6a959fd90b06c1e9967cc53ebe26171372d07695

509

py

Python

src/core_utilities/statistics.py

yukonhenry/vrpsim

d1fa14eb246f1a2be32bc14a7126c4be3d6210b8

[ "MIT" ]

2

2018-06-05T16:47:49.000Z

2020-01-03T07:51:25.000Z

src/core_utilities/statistics.py

yukonhenry/vrpsim

d1fa14eb246f1a2be32bc14a7126c4be3d6210b8

[ "MIT" ]

null

src/core_utilities/statistics.py

yukonhenry/vrpsim

d1fa14eb246f1a2be32bc14a7126c4be3d6210b8

[ "MIT" ]

null

# Copyright YukonTR 2015 from numpy import mean, std from collections import namedtuple class Statistics(object): def __init__(self): pass def calc_mean(self, data_array): return mean(data_array) def calc_stddev(self, data_array): return std(data_array) def calc_meanstd(self, data_array): mean = self.calc_mean(data_array) std = self.calc_stddev(data_array) Mean_Std = namedtuple("Mean_Std", "mean std") return Mean_Std(mean, std)

24.238095

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false

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null

0

null

0

1

0

1

0

1

0

4

6ab493da37cd62011ec69d61a1b731688f8e7612

50

py

Python

polynom/commitment/bdfg/__init__.py

oznurkalkar/polynom

13c85c5570995350000bf93fbcf4b8abe3c686e8

[ "Apache-2.0" ]

2

2021-09-06T09:39:50.000Z

2021-09-10T14:19:03.000Z

polynom/commitment/bdfg/__init__.py

oznurkalkar/polynom

13c85c5570995350000bf93fbcf4b8abe3c686e8

[ "Apache-2.0" ]

null

polynom/commitment/bdfg/__init__.py

oznurkalkar/polynom

13c85c5570995350000bf93fbcf4b8abe3c686e8

[ "Apache-2.0" ]

1

2021-12-22T06:08:51.000Z

# implements https://eprint.iacr.org/2020/081.pdf

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null

0

1

0

4

6ac5d32d9b9fa5dbeae2e24c1fe707af965f6fb6

64

py

Python

src/hark_lang/run/__init__.py

krrome/teal-lang

594ac0f0baae047fdb19ac9126d174408d487905

[ "Apache-2.0" ]

85

2020-04-29T13:51:33.000Z

2020-08-28T04:40:11.000Z

src/hark_lang/run/__init__.py

krrome/teal-lang

594ac0f0baae047fdb19ac9126d174408d487905

[ "Apache-2.0" ]

15

2020-05-06T07:58:18.000Z

2020-08-28T10:29:28.000Z

src/hark_lang/run/__init__.py

krrome/teal-lang

594ac0f0baae047fdb19ac9126d174408d487905

[ "Apache-2.0" ]

4

2020-05-31T09:42:08.000Z

2020-08-27T17:04:26.000Z

"""Simple interfaces for different ways to run Hark programs"""

32

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0.890625

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true

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null

0

1

0

1

0

null

0

1

0

4

6ad7980950009a3652de997065391fa7b476fccd

103

py

Python

src/oscar/apps/dashboard/communications/__init__.py

Jean1508/ya-madoa

1ffb1d11e15bf33e4c3a09698675a4357e887eaa

[ "BSD-3-Clause" ]

null

src/oscar/apps/dashboard/communications/__init__.py

Jean1508/ya-madoa

1ffb1d11e15bf33e4c3a09698675a4357e887eaa

[ "BSD-3-Clause" ]

5

2021-05-28T19:38:28.000Z

2022-03-12T00:45:39.000Z

src/oscar/apps/dashboard/communications/__init__.py

Jean1508/ya-madoa

1ffb1d11e15bf33e4c3a09698675a4357e887eaa

[ "BSD-3-Clause" ]

null

default_app_config = ( 'oscar.apps.dashboard.communications.apps.CommunicationsDashboardConfig')

34.333333

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0

1

0

null

0

1

0

1

null

0

4

6ae517e8a761dfcf4b653beb790f2f7000cc5fe7

54

py

Python

Government/gov_Guangdong/__init__.py

yongzhuo/yongzhuo_spider

731405de27c2fd1c542bce46e53918d023d8a618

[ "Apache-2.0" ]

5

2019-04-26T02:28:27.000Z

2020-09-21T03:07:35.000Z

Government/gov_Guangdong/__init__.py

yongzhuo/yongzhuo_spider

731405de27c2fd1c542bce46e53918d023d8a618

[ "Apache-2.0" ]

null

Government/gov_Guangdong/__init__.py

yongzhuo/yongzhuo_spider

731405de27c2fd1c542bce46e53918d023d8a618

[ "Apache-2.0" ]

1

2021-07-08T05:53:42.000Z

# -*- coding:utf-8 -*- # -*- created by: yongzhuo -*-

27

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0.5

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54

4.5

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54

2

30

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null

0

1

0

4

0a8a83c888f6c6a25e6060b0336feeecc6607be3

7,886

py

Python

core/migrations/0001_initial.py

grapesmoker/qtour

dbb02613475362d9a4c7f86d047ddc012e4d8351

[ "MIT" ]

null

core/migrations/0001_initial.py

grapesmoker/qtour

dbb02613475362d9a4c7f86d047ddc012e4d8351

[ "MIT" ]

null

core/migrations/0001_initial.py

grapesmoker/qtour

dbb02613475362d9a4c7f86d047ddc012e4d8351

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-04-28 03:05 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='DiscountOrPenalty', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ('amount', models.IntegerField()), ('public', models.BooleanField(default=True)), ], ), migrations.CreateModel( name='Player', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('first_name', models.CharField(max_length=250)), ('last_name', models.CharField(max_length=250)), ('middle_name', models.CharField(max_length=250, null=True)), ], ), migrations.CreateModel( name='QTourUser', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='RegistrationEntry', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('buzzers', models.IntegerField()), ('staff', models.IntegerField()), ], ), migrations.CreateModel( name='School', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=500)), ('city', models.CharField(max_length=100)), ('state', models.CharField(choices=[('AL', 'Alabama'), ('AK', 'Alaska'), ('AZ', 'Arizona'), ('AR', 'Arkansas'), ('CA', 'California'), ('CO', 'Colorado'), ('CT', 'Connecticut'), ('DE', 'Delaware'), ('DC', 'District of Columbia'), ('FL', 'Florida'), ('GA', 'Georgia'), ('HI', 'Hawaii'), ('ID', 'Idaho'), ('IL', 'Illinois'), ('IN', 'Indiana'), ('IA', 'Iowa'), ('KS', 'Kansas'), ('KY', 'Kentucky'), ('LA', 'Louisiana'), ('ME', 'Maine'), ('MD', 'Maryland'), ('MA', 'Massachusetts'), ('MI', 'Michigan'), ('MN', 'Minnesota'), ('MS', 'Mississippi'), ('MO', 'Missouri'), ('MT', 'Montana'), ('NE', 'Nebraska'), ('NV', 'Nevada'), ('NH', 'New Hampshire'), ('NJ', 'New Jersey'), ('NM', 'New Mexico'), ('NY', 'New York'), ('NC', 'North Carolina'), ('ND', 'North Dakota'), ('OH', 'Ohio'), ('OK', 'Oklahoma'), ('OR', 'Oregon'), ('PA', 'Pennsylvania'), ('RI', 'Rhode Island'), ('SC', 'South Carolina'), ('SD', 'South Dakota'), ('TN', 'Tennessee'), ('TX', 'Texas'), ('UT', 'Utah'), ('VT', 'Vermont'), ('VA', 'Virginia'), ('WA', 'Washington'), ('WV', 'West Virginia'), ('WI', 'Wisconsin'), ('WY', 'Wyoming')], max_length=4)), ('country', models.CharField(max_length=100)), ('manager', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.QTourUser')), ], ), migrations.CreateModel( name='Team', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ('registration', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.RegistrationEntry')), ('school', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='core.School')), ], ), migrations.CreateModel( name='Tournament', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=500)), ('date', models.DateField()), ('location', models.CharField(max_length=500, null=True)), ('base_fee', models.PositiveIntegerField()), ('multiple_sites', models.BooleanField(default=False)), ], ), migrations.CreateModel( name='TournamentSite', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('address', models.CharField(max_length=500)), ('city', models.CharField(max_length=100)), ('state', models.CharField(choices=[('AL', 'Alabama'), ('AK', 'Alaska'), ('AZ', 'Arizona'), ('AR', 'Arkansas'), ('CA', 'California'), ('CO', 'Colorado'), ('CT', 'Connecticut'), ('DE', 'Delaware'), ('DC', 'District of Columbia'), ('FL', 'Florida'), ('GA', 'Georgia'), ('HI', 'Hawaii'), ('ID', 'Idaho'), ('IL', 'Illinois'), ('IN', 'Indiana'), ('IA', 'Iowa'), ('KS', 'Kansas'), ('KY', 'Kentucky'), ('LA', 'Louisiana'), ('ME', 'Maine'), ('MD', 'Maryland'), ('MA', 'Massachusetts'), ('MI', 'Michigan'), ('MN', 'Minnesota'), ('MS', 'Mississippi'), ('MO', 'Missouri'), ('MT', 'Montana'), ('NE', 'Nebraska'), ('NV', 'Nevada'), ('NH', 'New Hampshire'), ('NJ', 'New Jersey'), ('NM', 'New Mexico'), ('NY', 'New York'), ('NC', 'North Carolina'), ('ND', 'North Dakota'), ('OH', 'Ohio'), ('OK', 'Oklahoma'), ('OR', 'Oregon'), ('PA', 'Pennsylvania'), ('RI', 'Rhode Island'), ('SC', 'South Carolina'), ('SD', 'South Dakota'), ('TN', 'Tennessee'), ('TX', 'Texas'), ('UT', 'Utah'), ('VT', 'Vermont'), ('VA', 'Virginia'), ('WA', 'Washington'), ('WV', 'West Virginia'), ('WI', 'Wisconsin'), ('WY', 'Wyoming')], max_length=4)), ('country', models.CharField(max_length=100)), ('owner', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.QTourUser')), ('tournament', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.Tournament')), ], ), migrations.CreateModel( name='PacketDiscountOrPenalty', fields=[ ('discountorpenalty_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.DiscountOrPenalty')), ('submission_date', models.DateField()), ], bases=('core.discountorpenalty',), ), migrations.AddField( model_name='team', name='tournament', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.Tournament'), ), migrations.AddField( model_name='team', name='tournament_site', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.TournamentSite'), ), migrations.AddField( model_name='registrationentry', name='adjustments', field=models.ManyToManyField(to='core.DiscountOrPenalty'), ), migrations.AddField( model_name='registrationentry', name='school', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.School'), ), migrations.AddField( model_name='registrationentry', name='packet_adjustments', field=models.ManyToManyField(related_name='packet_adjustments', to='core.PacketDiscountOrPenalty'), ), ]

61.131783

1,122

0.561755

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5.666667

0.279948

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0.600184

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0.233452

7,886

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false

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1

0

1

0

null

0

4

0a8e898f55cd4a879deecc2138f8cf81a1875807

238

py

Python

src/a05obiekty/Knife.py

tborzyszkowski/PSPI_Wstep_do_programowania

4aca4dfe5a8daed19d7852dd29b6cfa57df8f51c

[ "MIT" ]

2

2020-10-08T09:44:12.000Z

2021-10-08T08:32:19.000Z

src/a05obiekty/Knife.py

tborzyszkowski/PSPI_Wstep_do_programowania

4aca4dfe5a8daed19d7852dd29b6cfa57df8f51c

[ "MIT" ]

null

src/a05obiekty/Knife.py

tborzyszkowski/PSPI_Wstep_do_programowania

4aca4dfe5a8daed19d7852dd29b6cfa57df8f51c

[ "MIT" ]

1

2020-10-19T14:08:00.000Z

from .Tool import * class Knife(Tool): def __init__(self) -> None: super().__init__() def can_drill(self): return False def can_cut(self): return True def can_sweep(self): return False

14.875

31

0.579832

30

238

4.233333

0.566667

0.141732

0.23622

0

0.319328

238

15

32

15.866667

0.783951

0

0.2

0

1

0.4

false

0

0.1

0.3

0.9

0

null

0

1

0

null

0

1

0

1

0

4

0a8f064895ab0c3d2219535920ed60f2ca158129

212

py

Python

models/base.py

neural-reckoning/decoding_sound_location

782c0c3dc62add4ea4cc005746aa1cad1e10eef0

[ "MIT" ]

1

2021-01-27T17:56:57.000Z

models/base.py

neural-reckoning/decoding_sound_location

782c0c3dc62add4ea4cc005746aa1cad1e10eef0

[ "MIT" ]

null

models/base.py

neural-reckoning/decoding_sound_location

782c0c3dc62add4ea4cc005746aa1cad1e10eef0

[ "MIT" ]

null

from brian import * from brian.hears import * from matplotlib import cm, rcParams import sys, os, glob sys.path = [os.path.normpath(os.path.join(os.path.split(__file__)[0], '../'))]+sys.path from common import *

30.285714

87

0.726415

34

212

4.411765

0.5

0.12

0

0.005348

0.117925

212

6

88

35.333333

0.796791

0

0.014151

0

1

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true

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0.833333

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0.833333

0

null

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1

0

null

0

1

0

1

0

1

0

4

0a96971b983514a3dfdaa61c96d7f3d96d73e1e2

267

py

Python

userlixo/handlers/bot/callback_query/any.py

slimsevernake/UserLixoX-USERBOT

fc2cbf1dd35e1f99f8215d0080bf388eb36a5d91

[ "MIT" ]

2

2021-03-26T23:29:05.000Z

2021-07-18T12:38:59.000Z

userlixo/handlers/bot/callback_query/any.py

slimsevernake/UserLixoX-USERBOT

fc2cbf1dd35e1f99f8215d0080bf388eb36a5d91

[ "MIT" ]

1

2020-12-12T14:26:59.000Z

2021-02-18T12:26:32.000Z

userlixo/handlers/bot/callback_query/any.py

slimsevernake/UserLixoX-USERBOT

fc2cbf1dd35e1f99f8215d0080bf388eb36a5d91

[ "MIT" ]

3

2021-02-18T12:27:37.000Z

2021-04-17T00:39:45.000Z

import os from userlixo.config import langs from userlixo.database import Config from pyrogram import Client, filters # Getting the language to use @Client.on_callback_query(group=-2) async def deflang(c, cq): cq._lang = langs.get_language(os.getenv('LANGUAGE'))

29.666667

56

0.786517

41

267

5.02439

0.682927

0.116505

0

0.004274

0.123596

267

9

56

29.666667

0.876068

0.101124

0

0.033473

0

1

0

true

0

0.571429

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

4

0ab96ce49d78b91e3d4eabe668a5e66bbfb10d9b

69

py

Python

main.py

carlosasj/gauss-jordan

a5eedf5a175c966f9b402fa4baf8596e9abae369

[ "MIT" ]

null

main.py

carlosasj/gauss-jordan

a5eedf5a175c966f9b402fa4baf8596e9abae369

[ "MIT" ]

null

main.py

carlosasj/gauss-jordan

a5eedf5a175c966f9b402fa4baf8596e9abae369

[ "MIT" ]

null

from project import prompt if __name__ == '__main__': prompt()

11.5

26

0.681159

8

69

4.875

0.875

0

0.217391

69

5

27

13.8

0.722222

0

0.115942

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0ae14e2cfcea306dae668621f08203ca49cdbd04

248

py

Python

viewer/contents/admin.py

jeuvreyl/viewer-django

c2f2c89cefa214ee040469f1f90756b9a3876d59

[ "BSD-3-Clause" ]

null

viewer/contents/admin.py

jeuvreyl/viewer-django

c2f2c89cefa214ee040469f1f90756b9a3876d59

[ "BSD-3-Clause" ]

null

viewer/contents/admin.py

jeuvreyl/viewer-django

c2f2c89cefa214ee040469f1f90756b9a3876d59

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from django.contrib import admin from .models import UploadedFile @admin.register(UploadedFile) class UploadedFileAdmin(admin.ModelAdmin): list_display = ['file_name', 'slug'] search_fields = ['file_name', 'slug']

24.8

42

0.721774

29

248

6.034483

0.724138

0.091429

0.137143

0

0.004673

0.137097

248

9

43

27.555556

0.813084

0.084677

0

0.115556

0

1

0

false

0

0.333333

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0aeace7b72f9a426ae3e602bf815bfc1eae62122

124

py

Python

ModbusLib/common/timing_handler.py

colton5007/ModbusUtils

ab0e2f9ee0512ff8f5ed47f0d642f5fc38573ac3

[ "MIT" ]

null

ModbusLib/common/timing_handler.py

colton5007/ModbusUtils

ab0e2f9ee0512ff8f5ed47f0d642f5fc38573ac3

[ "MIT" ]

2

2020-04-13T18:38:00.000Z

2021-06-02T00:59:13.000Z

ModbusLib/common/timing_handler.py

colton5007/ModbusUtils

ab0e2f9ee0512ff8f5ed47f0d642f5fc38573ac3

[ "MIT" ]

null

from multiprocessing import Process class TimingHandler(Process): def __init__(self): Process.__init__(self)

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0.193548

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0.83

0

1

0.25

false

0

0.25

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0.75

0

1

0

null

0

1

0

null

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1

0

1

0

4