xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

65fcef1efd1b34aeb02ba8bec5a470d71a7074b8

212

py

Python

python-mundo1/ex031.py

abm-astro/estudos-python

c0dcd71489e528d445efa25d4986bf2fd08f8fe6

[ "MIT" ]

1

2021-08-15T18:18:43.000Z

python-mundo1/ex031.py

abm-astro/estudos-python

c0dcd71489e528d445efa25d4986bf2fd08f8fe6

[ "MIT" ]

null

python-mundo1/ex031.py

abm-astro/estudos-python

c0dcd71489e528d445efa25d4986bf2fd08f8fe6

[ "MIT" ]

null

distance = int(input('Qual vai ser a distância da sua viagem? ')) if distance <= 200: print(f'O preço da passagem será R${distance*0.5:.2f}') else: print(f'O preço da passagem será R${distance*0.45:.2f}')

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65fd923c5bf60b092e28e50a9f56995a574b69bc

185

py

Python

app/core/events.py

panocbik/FastAPI-Redis-example

085a8d0147700a6f2410db6ead8f8574b1aea578

[ "MIT" ]

null

app/core/events.py

panocbik/FastAPI-Redis-example

085a8d0147700a6f2410db6ead8f8574b1aea578

[ "MIT" ]

null

app/core/events.py

panocbik/FastAPI-Redis-example

085a8d0147700a6f2410db6ead8f8574b1aea578

[ "MIT" ]

1

2022-02-23T22:40:03.000Z

from typing import Callable from redis_om import Migrator def create_start_app_handler() -> Callable: async def start_app() -> None: Migrator().run() return start_app

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5a002b1b1b524ae11f0831fafca44412110bd5a8

85

py

Python

munimap/grid/__init__.py

MrSnyder/bielefeldGEOCLIENT

17c78b43fc2055d23a1bc4b5091da164756bf767

[ "Apache-2.0" ]

2

2022-02-07T13:20:45.000Z

2022-02-14T21:40:06.000Z

munimap/grid/__init__.py

MrSnyder/bielefeldGEOCLIENT

17c78b43fc2055d23a1bc4b5091da164756bf767

[ "Apache-2.0" ]

4

2021-06-17T07:53:53.000Z

2021-12-17T10:55:48.000Z

munimap/grid/__init__.py

MrSnyder/bielefeldGEOCLIENT

17c78b43fc2055d23a1bc4b5091da164756bf767

[ "Apache-2.0" ]

2

2021-06-01T09:41:55.000Z

2022-02-14T17:33:33.000Z

__all__ = ['Grid', 'RefFinder'] from .grid import Grid from .finder import RefFinder

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5a141136cac7d802d1898c4ac558a2bede6f5207

272

py

Python

src/lib/debuggers/debugger_factory.py

ivalab/GraspKpNet

d4b6186d74ac82a745d778892742d52a204bd1cf

[ "MIT" ]

16

2021-05-04T23:08:47.000Z

2022-01-19T08:33:14.000Z

src/lib/debuggers/debugger_factory.py

ivalab/GraspKpNet

d4b6186d74ac82a745d778892742d52a204bd1cf

[ "MIT" ]

2

2021-06-22T22:54:44.000Z

2021-10-04T19:23:35.000Z

src/lib/debuggers/debugger_factory.py

ivalab/GraspKpNet

d4b6186d74ac82a745d778892742d52a204bd1cf

[ "MIT" ]

2

2021-07-10T12:51:29.000Z

2022-02-17T06:45:54.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function from .trictdet import TriCtdetDebugger from .dbctdet import DbCtdetDebugger debugger_factory = { 'trictdet': TriCtdetDebugger, 'dbctdet': DbCtdetDebugger, }

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5a15aa0d95242e4cad1c20c19f088d7b3417b406

3,238

py

Python

tests/SecurityToken/transfer/test_token_country_investor_limits.py

DhruvTheEthDeveloper/SFT-Protocol

489c0d4cba4f3b302906c366c0e796701c753c48

[ "Apache-2.0" ]

null

tests/SecurityToken/transfer/test_token_country_investor_limits.py

DhruvTheEthDeveloper/SFT-Protocol

489c0d4cba4f3b302906c366c0e796701c753c48

[ "Apache-2.0" ]

null

tests/SecurityToken/transfer/test_token_country_investor_limits.py

DhruvTheEthDeveloper/SFT-Protocol

489c0d4cba4f3b302906c366c0e796701c753c48

[ "Apache-2.0" ]

1

2021-06-29T19:17:59.000Z

#!/usr/bin/python3 import pytest from brownie import accounts @pytest.fixture(scope="module", autouse=True) def setup(approve_many, issuer, token): token.mint(issuer, 100000, {'from': accounts[0]}) issuer.setCountry(1, True, 1, (1, 0, 0, 0, 0, 0, 0, 0), {'from': accounts[0]}) token.transfer(accounts[1], 1000, {'from': accounts[0]}) def test_country_investor_limit_blocked_issuer_investor(token): '''country investor limit - blocked, issuer to investor''' with pytest.reverts("Country Investor Limit"): token.transfer(accounts[2], 1000, {'from': accounts[0]}) def test_country_investor_limit_blocked_investor_investor(token): '''country investor limit - blocked, investor to investor''' with pytest.reverts("Country Investor Limit"): token.transfer(accounts[2], 500, {'from': accounts[1]}) def test_country_investor_limit_issuer_investor(token): '''country investor limit - issuer to existing investor''' token.transfer(accounts[1], 1000, {'from': accounts[0]}) def test_country_investor_limit_investor_investor(token): '''country investor limit - investor to investor, full balance''' token.transfer(accounts[2], 1000, {'from': accounts[1]}) def test_country_investor_limit_investor_investor_different_country(token): '''country investor limit, investor to investor, different country''' token.transfer(accounts[3], 500, {'from': accounts[1]}) def test_country_investor_limit_rating_blocked_issuer_investor(kyc, issuer, token): '''country investor limit, rating - blocked, issuer to investor''' issuer.setCountry(1, True, 1, (0, 1, 0, 0, 0, 0, 0, 0), {'from': accounts[0]}) kyc.updateInvestor(kyc.getID(accounts[2]), 1, 1, 2000000000, {'from': accounts[0]}) with pytest.reverts("Country Investor Limit: Rating"): token.transfer(accounts[2], 1000, {'from': accounts[0]}) def test_country_investor_limit_rating_blocked_investor_investor(kyc, issuer, token): '''country investor limit, rating - blocked, investor to investor''' issuer.setCountry(1, True, 1, (0, 1, 0, 0, 0, 0, 0, 0), {'from': accounts[0]}) kyc.updateInvestor(kyc.getID(accounts[2]), 1, 1, 2000000000, {'from': accounts[0]}) with pytest.reverts("Country Investor Limit: Rating"): token.transfer(accounts[2], 500, {'from': accounts[1]}) def test_country_investor_limit_rating_issuer_investor(issuer, token): '''country investor limit, rating - issuer to existing investor''' issuer.setCountry(1, True, 1, (0, 1, 0, 0, 0, 0, 0, 0), {'from': accounts[0]}) token.transfer(accounts[1], 1000, {'from': accounts[0]}) def test_country_investor_limit_rating_investor_investor(issuer, token): '''country investor limit, rating - investor to investor, full balance''' issuer.setCountry(1, True, 1, (0, 1, 0, 0, 0, 0, 0, 0), {'from': accounts[0]}) token.transfer(accounts[2], 1000, {'from': accounts[1]}) def test_country_investor_limit_rating_investor_investor_different_country(issuer, token): '''country investor limit, rating - investor to investor, different rating''' issuer.setCountry(1, True, 1, (0, 1, 0, 0, 0, 0, 0, 0), {'from': accounts[0]}) token.transfer(accounts[2], 500, {'from': accounts[1]})

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5a1abff98c8498cbe502acee9aefd914a765241e

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py

Python

rothko/__init__.py

collinsgit/rothko

fcb72d837ba31cde36e63b6bbb68390ca9dac04a

[ "MIT" ]

null

rothko/__init__.py

collinsgit/rothko

fcb72d837ba31cde36e63b6bbb68390ca9dac04a

[ "MIT" ]

null

rothko/__init__.py

collinsgit/rothko

fcb72d837ba31cde36e63b6bbb68390ca9dac04a

[ "MIT" ]

null

"""Code for performing simulated annealing, applied to various problems."""

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5a21672baf072ac5d4f47aba51a436c03d44f062

552

py

Python

modules/dbnd/test_dbnd/task/parameters/test_parameter_pathlib.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

224

2020-01-02T10:46:37.000Z

2022-03-02T13:54:08.000Z

modules/dbnd/test_dbnd/task/parameters/test_parameter_pathlib.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

16

2020-03-11T09:37:58.000Z

2022-01-26T10:22:08.000Z

modules/dbnd/test_dbnd/task/parameters/test_parameter_pathlib.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

24

2020-03-24T13:53:50.000Z

2022-03-22T11:55:18.000Z

from dbnd import band, task from targets import target from targets.types import Path class _MyObject(object): pass @task def t_Path(path1, path2): # type: (str, str) -> str return path1 @band def t_band_path(path1, path2): # type: (Path, Path) -> str return t_Path(path1=path1, path2=path2) @band def t_band2_path(): path1 = Path(__file__) path2 = target(__file__) return t_band_path(path1=path1, path2=path2) class TestTaskPathlibParameters(object): def test_band(self): t_band2_path.dbnd_run()

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5a2dd34aedcfccddff304fce9900ae05d9383073

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py

Python

core/models/forms.py

gabrielloliveira/flaskweet

0fc21bfb62c1335ee009ceb9cda9071ca13a8c76

[ "MIT" ]

null

core/models/forms.py

gabrielloliveira/flaskweet

0fc21bfb62c1335ee009ceb9cda9071ca13a8c76

[ "MIT" ]

5

2020-04-03T14:40:27.000Z

2020-04-05T15:24:49.000Z

core/models/forms.py

gabrielloliveira/flaskweet

0fc21bfb62c1335ee009ceb9cda9071ca13a8c76

[ "MIT" ]

null

from flask_wtf import FlaskForm from wtforms import StringField, PasswordField from wtforms.validators import DataRequired, Email class LoginForm(FlaskForm): username = StringField('username', validators=[DataRequired()]) password = PasswordField('password', validators=[DataRequired()]) class UserCreationForm(FlaskForm): name = StringField('name') username = StringField('username', validators=[DataRequired()]) email = StringField('email', validators=[DataRequired(), Email()]) password = PasswordField('password', validators=[DataRequired()])

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5a7a31155e6a5e47669b604714db667eba2c8511

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py

Python

tests/test_author.py

5783354/awokado

9454067f005fd8905409902fb955de664ba3d5b6

[ "MIT" ]

6

2019-02-08T16:21:24.000Z

2019-03-13T13:00:05.000Z

tests/test_author.py

5783354/awokado

9454067f005fd8905409902fb955de664ba3d5b6

[ "MIT" ]

10

2019-05-21T10:29:16.000Z

2021-05-21T12:09:49.000Z

tests/test_author.py

5783354/awokado

9454067f005fd8905409902fb955de664ba3d5b6

[ "MIT" ]

1

2020-02-26T06:47:41.000Z

from unittest.mock import patch from tests.base import BaseAPITest from .test_app.routes import api class AuthorTest(BaseAPITest): def setUp(self): super().setUp() self.app = api @patch("awokado.resource.Transaction", autospec=True) def test_create(self, session_patch): self.patch_session(session_patch) payload = {"author": {"first_name": "Steven", "last_name": "King"}} api_response = self.simulate_post("/v1/author", json=payload) self.assertEqual(api_response.status, "200 OK", api_response.text) id_ = api_response.json["author"][0]["id"] self.assertIsNotNone(id_) self.assertDictEqual( api_response.json["author"][0], {"id": id_, "name": "Steven King", "books_count": 0, "books": []}, ) @patch("awokado.resource.Transaction", autospec=True) def test_update(self, session_patch): self.patch_session(session_patch) author_id = self.create_author("Steven X") payload = { "author": [ {"id": author_id, "first_name": "Steven", "last_name": "King"} ] } api_response = self.simulate_patch("/v1/author/", json=payload) self.assertEqual(api_response.status, "200 OK", api_response.json) self.assertDictEqual( api_response.json["payload"]["author"][0], { "id": author_id, "name": "Steven King", "books_count": 0, "books": [], }, ) @patch("awokado.resource.Transaction", autospec=True) def test_delete(self, session_patch): self.patch_session(session_patch) author_id = self.create_author("Steven X") api_response = self.simulate_delete(f"/v1/author/{author_id}") self.assertEqual(api_response.status, "200 OK", api_response.json) self.assertDictEqual(api_response.json, dict()) @patch("awokado.resource.Transaction", autospec=True) def test_read(self, session_patch): self.patch_session(session_patch) author_id = self.create_author("Steven X") api_response = self.simulate_get("/v1/author/") self.assertEqual(api_response.status, "200 OK", api_response.json) self.assertDictEqual( api_response.json["payload"]["author"][0], { "id": author_id, "name": "Steven X", "books_count": 0, "books": [], }, )

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py

Python

doc/examples/hello_world.py

timgates42/juno

5d84d23e3fb32deaa61f74958b26f4f6e838e85c

[ "MIT" ]

22

2015-01-11T23:03:10.000Z

2022-01-06T04:51:46.000Z

doc/examples/hello_world.py

abiczo/juno

5fa3355d39fe2a62248d3e07b98809001f05ea6c

[ "MIT" ]

2

2015-10-18T17:02:05.000Z

2021-07-10T22:29:59.000Z

doc/examples/hello_world.py

abiczo/juno

5fa3355d39fe2a62248d3e07b98809001f05ea6c

[ "MIT" ]

5

2015-01-11T23:04:13.000Z

2021-07-10T11:47:17.000Z

from juno import * @route('/') def index(web): return 'Hello, World' run()

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py

Python

tests/datasources/util.py

kevinbazira/revscoring

625f8b8048eb3c0c1c872ed9c15687c56f125747

[ "MIT" ]

49

2015-07-15T14:53:06.000Z

2018-08-20T15:00:31.000Z

tests/datasources/util.py

kevinbazira/revscoring

625f8b8048eb3c0c1c872ed9c15687c56f125747

[ "MIT" ]

224

2015-06-14T23:22:43.000Z

2018-08-08T22:52:46.000Z

tests/datasources/util.py

kevinbazira/revscoring

625f8b8048eb3c0c1c872ed9c15687c56f125747

[ "MIT" ]

36

2015-07-03T03:25:01.000Z

2018-05-25T10:21:08.000Z

import pickle from revscoring.datasources.datasource import Datasource def check_datasource(ds): assert isinstance(ds, Datasource) assert pickle.loads(pickle.dumps(ds)) == ds

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py

Python

test/test_group_operations_api.py

s4v4g3/aio-ketra-api

1c8fefa2a66d4a66addeefdc33c71b2f0faa1137

[ "MIT" ]

null

test/test_group_operations_api.py

s4v4g3/aio-ketra-api

1c8fefa2a66d4a66addeefdc33c71b2f0faa1137

[ "MIT" ]

null

test/test_group_operations_api.py

s4v4g3/aio-ketra-api

1c8fefa2a66d4a66addeefdc33c71b2f0faa1137

[ "MIT" ]

null

# coding: utf-8 """ Ketra Lighting API Control your Ketra lights # noqa: E501 The version of the OpenAPI document: 1.4.0 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import aioketraapi from aioketraapi.api.group_operations_api import GroupOperationsApi # noqa: E501 from aioketraapi.rest import ApiException class TestGroupOperationsApi(unittest.TestCase): """GroupOperationsApi unit test stubs""" def setUp(self): self.api = aioketraapi.api.group_operations_api.GroupOperationsApi() # noqa: E501 def tearDown(self): pass def test_groups_get(self): """Test case for groups_get Gets the list of groups # noqa: E501 """ pass def test_groups_group_id_get(self): """Test case for groups_group_id_get Gets a single group object # noqa: E501 """ pass def test_groups_group_id_state_get(self): """Test case for groups_group_id_state_get Gets the state of a single lamp group # noqa: E501 """ pass def test_groups_group_id_state_put(self): """Test case for groups_group_id_state_put Sets the state of a single lamp group # noqa: E501 """ pass def test_groups_state_post(self): """Test case for groups_state_post Sets the state of a lamp group # noqa: E501 """ pass def test_root_get(self): """Test case for root_get Get keypads and groups (and scenes in API schema 4 or later) # noqa: E501 """ pass if __name__ == '__main__': unittest.main()

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py

Python

ngallery_utils/data.py

jukent/notebook-gallery

c1bf855a897690e7db7b9c9931cdfb98b6bd6f82

[ "CC0-1.0" ]

17

2019-09-20T20:52:42.000Z

2021-11-28T15:54:44.000Z

ngallery_utils/data.py

jukent/notebook-gallery

c1bf855a897690e7db7b9c9931cdfb98b6bd6f82

[ "CC0-1.0" ]

59

2019-02-08T20:02:01.000Z

2021-09-07T22:02:07.000Z

ngallery_utils/data.py

jukent/notebook-gallery

c1bf855a897690e7db7b9c9931cdfb98b6bd6f82

[ "CC0-1.0" ]

9

2019-02-12T18:19:11.000Z

2021-04-23T02:04:58.000Z

import os import pooch from .util import identify_host hostname = identify_host() data_cache_map = {'cheyenne': '/glade/work/abanihi/aletheia-data/tutorial-data/', 'casper': '/glade/work/abanihi/aletheia-data/tutorial-data/', 'hobart': '/ftp/archive/aletheia-data/tutorial-data/', 'unknown': '~/aletheia-data/tutorial-data/', } BASE_URL = 'ftp://ftp.cgd.ucar.edu/archive/aletheia-data' TUTORIAL_DATA_URL = f'{BASE_URL}/tutorial-data' URLS = { 'thetao_Omon_historical_GISS-E2-1-G_r1i1p1f1_gn_185001-185512.nc': f'{TUTORIAL_DATA_URL}/thetao_Omon_historical_GISS-E2-1-G_r1i1p1f1_gn_185001-185512.nc', 'woa2013v2-O2-thermocline-ann.nc': f'{TUTORIAL_DATA_URL}/woa2013v2-O2-thermocline-ann.nc', 'NOAA_NCDC_ERSST_v3b_SST.nc': f'{TUTORIAL_DATA_URL}/NOAA_NCDC_ERSST_v3b_SST.nc', 'sst_indices.csv': f'{TUTORIAL_DATA_URL}/sst_indices.csv', 'air_temperature.nc': f'{TUTORIAL_DATA_URL}/air_temperature.nc', 'rasm.nc': f'{TUTORIAL_DATA_URL}/rasm.nc', 'co2.nc': f'{TUTORIAL_DATA_URL}/co2.nc', 'moc.nc': f'{TUTORIAL_DATA_URL}/moc.nc', 'aviso_madt_2015.tar.gz': f'{TUTORIAL_DATA_URL}/aviso_madt_2015.tar.gz', 'NARR_19930313_0000.nc': f'{TUTORIAL_DATA_URL}/NARR_19930313_0000.nc', 'MPAS.nc': f'{TUTORIAL_DATA_URL}/MPAS.nc', 'Oklahoma.static.nc': f'{TUTORIAL_DATA_URL}/Oklahoma.static.nc', 'uas.rcp85.CanESM2.CRCM5-UQAM.day.NAM-44i.raw.Colorado.nc': f'{TUTORIAL_DATA_URL}/uas.rcp85.CanESM2.CRCM5-UQAM.day.NAM-44i.raw.Colorado.nc', 'uas.hist.CanESM2.CRCM5-UQAM.day.NAM-44i.raw.Colorado.nc': f'{TUTORIAL_DATA_URL}/uas.hist.CanESM2.CRCM5-UQAM.day.NAM-44i.raw.Colorado.nc', 'uas.gridMET.NAM-44i.Colorado.nc': f'{TUTORIAL_DATA_URL}/uas.gridMET.NAM-44i.Colorado.nc', 'T2_RR_F_2014_08.nc': f'{TUTORIAL_DATA_URL}/T2_RR_F_2014_08.nc', 'wrfinput_d02': f'{TUTORIAL_DATA_URL}/wrfinput_d02' } DATASETS = pooch.create( path=data_cache_map[hostname], version_dev='master', base_url='ftp://ftp.cgd.ucar.edu/archive/aletheia-data', urls=URLS, ) DATASETS.load_registry(os.path.join(os.path.dirname(__file__), 'registry.txt'))

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null

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0

1

null

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0c82840dbf32b3618a29ccaa8fe6554fd1f2cd10

5,821

py

Python

isi_mip/climatemodels/migrations/0073_auto_20170124_1121.py

ISI-MIP/isimip

c2a78c727337e38f3695031e00afd607da7d6dcb

[ "MIT" ]

4

2017-07-05T08:06:18.000Z

2021-03-01T17:23:18.000Z

isi_mip/climatemodels/migrations/0073_auto_20170124_1121.py

ISI-MIP/isimip

c2a78c727337e38f3695031e00afd607da7d6dcb

[ "MIT" ]

4

2020-01-31T09:02:57.000Z

2021-04-20T14:04:35.000Z

isi_mip/climatemodels/migrations/0073_auto_20170124_1121.py

ISI-MIP/isimip

c2a78c727337e38f3695031e00afd607da7d6dcb

[ "MIT" ]

4

2017-10-12T01:48:55.000Z

2020-04-29T13:50:03.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.4 on 2017-01-24 10:21 from __future__ import unicode_literals from django.db import migrations, models def set_data_sets(apps, schema_editor): InputDataInformation = apps.get_model('climatemodels', 'InputDataInformation') for idi in InputDataInformation.objects.all(): sr = idi.impact_model.simulation_round idi.emissions_data_sets = idi.climate_data_sets.filter(data_type__name='Emissions', simulation_round=sr) idi.land_use_data_sets = idi.climate_data_sets.filter(data_type__name='Land use', simulation_round=sr) idi.observed_atmospheric_climate_data_sets = idi.climate_data_sets.filter(data_type__name='Observed atmospheric climate', simulation_round=sr) idi.observed_ocean_climate_data_sets = idi.climate_data_sets.filter(data_type__name='Observed ocean climate', simulation_round=sr) idi.other_data_sets = idi.climate_data_sets.filter(data_type__name='Other', simulation_round=sr) idi.other_human_influences_data_sets = idi.climate_data_sets.filter(data_type__name='Other human influences', simulation_round=sr) idi.simulated_atmospheric_climate_data_sets = idi.climate_data_sets.filter(data_type__name='Simulated atmospheric climate', simulation_round=sr) idi.simulated_ocean_climate_data_sets = idi.climate_data_sets.filter(data_type__name='Simulated ocean climate', simulation_round=sr) idi.socio_economic_data_sets = idi.climate_data_sets.filter(data_type__name='Socio-economic', simulation_round=sr) idi.save() class Migration(migrations.Migration): dependencies = [ ('climatemodels', '0072_auto_20170123_1059'), ] operations = [ migrations.AlterModelOptions( name='inputdata', options={'ordering': ('-created', 'name'), 'verbose_name_plural': 'Input data'}, ), migrations.AddField( model_name='inputdatainformation', name='emissions_data_sets', field=models.ManyToManyField(blank=True, help_text='The emissions data sets used in this simulation round', related_name='emissions_data_sets', to='climatemodels.InputData', verbose_name='Emissions data sets used'), ), migrations.AddField( model_name='inputdatainformation', name='land_use_data_sets', field=models.ManyToManyField(blank=True, help_text='The Land use data sets used in this simulation round', related_name='land_use_data_sets', to='climatemodels.InputData', verbose_name='Land use data sets used'), ), migrations.AddField( model_name='inputdatainformation', name='observed_atmospheric_climate_data_sets', field=models.ManyToManyField(blank=True, help_text='The observed atmospheric climate data sets used in this simulation round', related_name='observed_atmospheric_climate_data_sets', to='climatemodels.InputData', verbose_name='Observed atmospheric climate data sets used'), ), migrations.AddField( model_name='inputdatainformation', name='observed_ocean_climate_data_sets', field=models.ManyToManyField(blank=True, help_text='The observed ocean climate data sets used in this simulation round', related_name='observed_ocean_climate_data_sets', to='climatemodels.InputData', verbose_name='Observed ocean climate data sets used'), ), migrations.AddField( model_name='inputdatainformation', name='other_data_sets', field=models.ManyToManyField(blank=True, help_text='Other data sets used in this simulation round', related_name='other_data_sets', to='climatemodels.InputData', verbose_name='Other data sets used'), ), migrations.AddField( model_name='inputdatainformation', name='other_human_influences_data_sets', field=models.ManyToManyField(blank=True, help_text='The other human influences data sets used in this simulation round', related_name='other_human_influences_data_sets', to='climatemodels.InputData', verbose_name='Other human influences data sets used'), ), migrations.AddField( model_name='inputdatainformation', name='simulated_atmospheric_climate_data_sets', field=models.ManyToManyField(blank=True, help_text='The simulated atmospheric climate data sets used in this simulation round', related_name='simulated_atmospheric_climate_data_sets', to='climatemodels.InputData', verbose_name='Simulated atmospheric climate data sets used'), ), migrations.AddField( model_name='inputdatainformation', name='simulated_ocean_climate_data_sets', field=models.ManyToManyField(blank=True, help_text='The observed ocean climate data sets used in this simulation round', related_name='simulated_ocean_climate_data_sets', to='climatemodels.InputData', verbose_name='Simulated ocean climate data sets used'), ), migrations.AddField( model_name='inputdatainformation', name='socio_economic_data_sets', field=models.ManyToManyField(blank=True, help_text='The socio-economic data sets used in this simulation round', related_name='socio_economic_data_sets', to='climatemodels.InputData', verbose_name='Socio-economic data sets used'), ), migrations.AlterField( model_name='inputdatainformation', name='climate_data_sets', field=models.ManyToManyField(blank=True, help_text='The climate-input data sets used in this simulation round', related_name='climate_data_sets', to='climatemodels.InputData', verbose_name='Climate data sets used'), ), migrations.RunPython( set_data_sets ), ]

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5,821

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null

0

1

0

1

0

null

0

4

0c879187c36b1179c1858bf472446983059b37f8

79

py

Python

src/setting.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

src/setting.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

src/setting.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

import os WORKING_BASE = os.getcwd() DATA_BASE = os.path.abspath('../dataset')

19.75

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0.218182

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3

42

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0

1

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null

1

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1

0

null

0

1

0

4

0cb69448cd24372067ac845eca5862bc3d3a46a9

2,368

py

Python

src/main/python/apache/aurora/client/cli/client.py

zmanji/incubator-aurora

9f594f1de6bbf46c74863dd3fc4d2708b7a974f2

[ "Apache-2.0" ]

null

src/main/python/apache/aurora/client/cli/client.py

zmanji/incubator-aurora

9f594f1de6bbf46c74863dd3fc4d2708b7a974f2

[ "Apache-2.0" ]

null

src/main/python/apache/aurora/client/cli/client.py

zmanji/incubator-aurora

9f594f1de6bbf46c74863dd3fc4d2708b7a974f2

[ "Apache-2.0" ]

null

# # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import logging import sys from apache.aurora.client.cli.bridge import Bridge, CommandProcessor from apache.aurora.client.cli.logsetup import setup_default_log_handlers from apache.aurora.client.cli.standalone_client import AuroraCommandLine # TODO(mchucarroll): the entire bridged executable mechanism here is # intended to be deprecated once clientv2 has proven to be stable # and adopted by most users. Once we reach that point, this should # be replaced by the standalone executable defined in standalone_client.py. class AuroraClientV2CommandProcessor(CommandProcessor): def __init__(self): self.commandline = AuroraCommandLine() @property def name(self): return "Aurora Client v2" def get_commands(self): return self.commandline.registered_nouns def execute(self, args): setup_default_log_handlers(logging.INFO) return self.commandline.execute(args[1:]) class AuroraClientV1CommandProcessor(CommandProcessor): # TODO(mchucarroll): deprecate client v1. (AURORA-131) @property def name(self): return "Aurora Client v1" def show_help(self): print("Supported commands are: %s" % ", ".join(self.get_commands())) print("\nRun '%s help _command_' for help on a specific command" % sys.argv[0]) def get_commands(self): return ["cancel_update", "create", "diff", "get_quota", "inspect", "kill", "list_jobs", "open", "restart", "run", "ssh", "start_cron", "status", "update", "version"] def execute(self, args): from apache.aurora.client.bin.aurora_client import proxy_main as clientone_proxy_main return clientone_proxy_main() def proxy_main(): v2 = AuroraClientV2CommandProcessor() v1 = AuroraClientV1CommandProcessor() bridge = Bridge([v2, v1], default=v1) bridge.execute(sys.argv) if __name__ == '__main__': proxy_main()

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5.470032

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null

0

null

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1

0

1

0

1

0

4

0ccf6fb7dfb97bbcca98e3e63df4c4779fea5079

80

py

Python

examples/debugtalk.py

bbx-winner/hrp

59f60d94a9bfce146a445eeca602528a4015f2dc

[ "Apache-2.0" ]

null

examples/debugtalk.py

bbx-winner/hrp

59f60d94a9bfce146a445eeca602528a4015f2dc

[ "Apache-2.0" ]

null

examples/debugtalk.py

bbx-winner/hrp

59f60d94a9bfce146a445eeca602528a4015f2dc

[ "Apache-2.0" ]

null

from plugin.python.plugin import serve if __name__ == '__main__': serve()

13.333333

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80

4.8

0.8

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80

5

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true

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0

1

0

null

0

1

0

1

0

4

0cd02e03249e1baad94f0a8ebd08e051d41fa7ce

1,681

py

Python

300-/729.py

yshshadow/Leetcode

5097f69bb0050d963c784d6bc0e88a7e871568ed

[ "MIT" ]

null

300-/729.py

yshshadow/Leetcode

5097f69bb0050d963c784d6bc0e88a7e871568ed

[ "MIT" ]

null

300-/729.py

yshshadow/Leetcode

5097f69bb0050d963c784d6bc0e88a7e871568ed

[ "MIT" ]

null

# Implement a MyCalendar class to store your events. A new event can be added if adding the event will not cause a double booking. # # Your class will have the method, book(int start, int end). Formally, this represents a booking on the half open interval [start, end), the range of real numbers x such that start <= x < end. # # A double booking happens when two events have some non-empty intersection (ie., there is some time that is common to both events.) # # For each call to the method MyCalendar.book, return true if the event can be added to the calendar successfully without causing a double booking. Otherwise, return false and do not add the event to the calendar. # # Your class will be called like this: MyCalendar cal = new MyCalendar(); MyCalendar.book(start, end) # Example 1: # MyCalendar(); # MyCalendar.book(10, 20); // returns true # MyCalendar.book(15, 25); // returns false # MyCalendar.book(20, 30); // returns true # Explanation: # The first event can be booked. The second can't because time 15 is already booked by another event. # The third event can be booked, as the first event takes every time less than 20, but not including 20. # Note: # # The number of calls to MyCalendar.book per test case will be at most 1000. # In calls to MyCalendar.book(start, end), start and end are integers in the range [0, 10^9]. class MyCalendar(object): def __init__(self): pass def book(self, start, end): """ :type start: int :type end: int :rtype: bool """ # Your MyCalendar object will be instantiated and called as such: # obj = MyCalendar() # param_1 = obj.book(start,end)

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1,681

39

214

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null

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null

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1

0

1

0

1

0

4

0cd9d2e60057fc654504e8cd64c4f9f68db07c0d

136

py

Python

FunPySearch/settings/production.py

LG-1/mtianyanSearch

830cdabf52393489a4a0e40eeedaed3040f183f4

[ "MIT" ]

235

2018-01-29T19:45:28.000Z

2022-03-29T23:27:34.000Z

FunPySearch/settings/production.py

LG-1/mtianyanSearch

830cdabf52393489a4a0e40eeedaed3040f183f4

[ "MIT" ]

13

2018-02-27T05:58:50.000Z

2021-09-22T17:58:30.000Z

FunPySearch/settings/production.py

LG-1/mtianyanSearch

830cdabf52393489a4a0e40eeedaed3040f183f4

[ "MIT" ]

120

2018-02-02T02:18:12.000Z

2022-03-30T10:47:14.000Z

from .base import * DEBUG = True ES_HOST = "mtianyan_elasticsearch" REDIS_HOST = "mtianyan_redis" REDIS_PASSWORD = "mtianyanRedisRoot"

19.428571

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136

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null

0

1

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0cfc3351681d4c12a9c246fdb3ddf3c896c937b8

57

py

Python

nephoria/testcases/cloudformation/__init__.py

Corymbia/nephoria

fe8ad7beba479e7a8de70f09cf1fdb4d640b4987

[ "BSD-2-Clause" ]

5

2016-08-31T06:51:18.000Z

2018-04-25T20:50:25.000Z

nephoria/testcases/cloudformation/__init__.py

Corymbia/nephoria

fe8ad7beba479e7a8de70f09cf1fdb4d640b4987

[ "BSD-2-Clause" ]

49

2016-04-19T07:01:46.000Z

2017-11-17T23:57:18.000Z

nephoria/testcases/cloudformation/__init__.py

Corymbia/nephoria

fe8ad7beba479e7a8de70f09cf1fdb4d640b4987

[ "BSD-2-Clause" ]

14

2016-04-14T17:01:35.000Z

2021-07-13T13:35:38.000Z

__author__ = "Harold Spencer, Jr.<hspencer77@gmail.com>"

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0

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null

0

1

0

1

null

0

4

0b3a2928aff63b9266b5ab7ef320387ada42d633

97

py

Python

Python/hell-o-world.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

1,428

2018-10-03T15:15:17.000Z

2019-03-31T18:38:36.000Z

Python/hell-o-world.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

1,162

2018-10-03T15:05:49.000Z

2018-10-18T14:17:52.000Z

Python/hell-o-world.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

3,909

2018-10-03T15:07:19.000Z

2019-03-31T18:39:08.000Z

To print in python your_string = input("enter something you want to print") print(your_string)

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null

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1

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1

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0b3b5f1b6ce20762330d2bf2495595c34357162b

142

py

Python

setup.py

scuc/Vantage-API-Batch-Submission

ccdeaa573070b14440b29e14aeb6113568de1206

[ "MIT" ]

null

setup.py

scuc/Vantage-API-Batch-Submission

ccdeaa573070b14440b29e14aeb6113568de1206

[ "MIT" ]

null

setup.py

scuc/Vantage-API-Batch-Submission

ccdeaa573070b14440b29e14aeb6113568de1206

[ "MIT" ]

null

import os if os.name == 'nt': os.system('pip install requests') os.system('pause') else: os.system('pip3 install requests')

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4.4

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7

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20.285714

0.790909

0

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null

1

0

1

0

null

0

1

0

4

0b56ae6c6971894339d3b58f03146bdc3a60be92

831

py

Python

tests/test_1967.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_1967.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_1967.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

#!/usr/bin/env python import pytest """ Test 1967. Number of Strings That Appear as Substrings in Word """ @pytest.fixture(scope="session") def init_variables_1967(): from src.leetcode_1967_number_of_strings_that_appear_as_substrings_in_word import ( Solution, ) solution = Solution() def _init_variables_1967(): return solution yield _init_variables_1967 class TestClass1967: def test_solution_0(self, init_variables_1967): assert init_variables_1967().numOfStrings(["a", "abc", "bc", "d"], "abc") == 3 def test_solution_1(self, init_variables_1967): assert init_variables_1967().numOfStrings(["a", "b", "c"], "aaaaabbbbb") == 2 def test_solution_2(self, init_variables_1967): assert init_variables_1967().numOfStrings(["a", "a", "a"], "ab") == 3

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1

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0b61945452a3f9b5835c8bcafc6ac3dff74e8e74

59

py

Python

src/positron_cross_section/__init__.py

ryanstocks00/positron-cross-section

cdfdd1fb9d0456abca7230f53310df9e40dbeb7b

[ "MIT" ]

1

2022-03-26T00:52:56.000Z

src/positron_cross_section/__init__.py

ryanstocks00/positron-cross-section

cdfdd1fb9d0456abca7230f53310df9e40dbeb7b

[ "MIT" ]

null

src/positron_cross_section/__init__.py

ryanstocks00/positron-cross-section

cdfdd1fb9d0456abca7230f53310df9e40dbeb7b

[ "MIT" ]

null

"""__init__ for positron cross section analysis module."""

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0ba370c83f7057e49fa9422c390b555c8a0ed4c8

3,309

py

Python

{{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_user.py

StrayDragon/full-stack-fastapi-postgresql

c159739dc50c52b19d8cf22e07543464cd691502

[ "MIT" ]

null

{{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_user.py

StrayDragon/full-stack-fastapi-postgresql

c159739dc50c52b19d8cf22e07543464cd691502

[ "MIT" ]

null

{{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_user.py

StrayDragon/full-stack-fastapi-postgresql

c159739dc50c52b19d8cf22e07543464cd691502

[ "MIT" ]

null

from fastapi.encoders import jsonable_encoder from app import crud from app.core.security import get_password_hash, verify_password from app.db.session import db_session from app.schemas.user import UserCreate, UserUpdate from app.tests.utils.utils import random_lower_string def test_create_user(): email = random_email() password = random_lower_string() user_in = UserCreate(email=email, password=password) user = crud.user.create(db_session, obj_in=user_in) assert user.email == email assert hasattr(user, "hashed_password") def test_authenticate_user(): email = random_email() password = random_lower_string() user_in = UserCreate(email=email, password=password) user = crud.user.create(db_session, obj_in=user_in) authenticated_user = crud.user.authenticate( db_session, email=email, password=password ) assert authenticated_user assert user.email == authenticated_user.email def test_not_authenticate_user(): email = random_email() password = random_lower_string() user = crud.user.authenticate(db_session, email=email, password=password) assert user is None def test_check_if_user_is_active(): email = random_email() password = random_lower_string() user_in = UserCreate(email=email, password=password) user = crud.user.create(db_session, obj_in=user_in) is_active = crud.user.is_active(user) assert is_active is True def test_check_if_user_is_active_inactive(): email = random_email() password = random_lower_string() user_in = UserCreate(email=email, password=password, disabled=True) user = crud.user.create(db_session, obj_in=user_in) is_active = crud.user.is_active(user) assert is_active def test_check_if_user_is_superuser(): email = random_email() password = random_lower_string() user_in = UserCreate(email=email, password=password, is_superuser=True) user = crud.user.create(db_session, obj_in=user_in) is_superuser = crud.user.is_superuser(user) assert is_superuser is True def test_check_if_user_is_superuser_normal_user(): username = random_email() password = random_lower_string() user_in = UserCreate(email=username, password=password) user = crud.user.create(db_session, obj_in=user_in) is_superuser = crud.user.is_superuser(user) assert is_superuser is False def test_get_user(): password = random_lower_string() username = random_email() user_in = UserCreate(email=username, password=password, is_superuser=True) user = crud.user.create(db_session, obj_in=user_in) user_2 = crud.user.get(db_session, id=user.id) assert user.email == user_2.email assert jsonable_encoder(user) == jsonable_encoder(user_2) def test_update_user(): password = random_lower_string() username = random_lower_string() user_in = UserCreate(email=username, password=password, is_superuser=True) user = crud.user.create(db_session, obj_in=user_in) new_password = random_lower_string() user_in = UserUpdate(password=new_password, is_superuser=True) crud.user.update(db_session, db_obj=user, obj_in=user_in) user_2 = crud.user.get(db_session, id=user.id) assert user.email == user_2.email assert verify_password(new_password, user_2.hashed_password)

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0

1

0

1

0

null

0

1

0

4

0bbd04e6b930c045470d8d253a0578138b76fea2

205

py

Python

cookbook/c05/p14_bypass_encode.py

itpubs/python3-cookbook

140f5e4cc0416b9674edca7f4c901b1f58fc1415

[ "Apache-2.0" ]

3

2018-09-19T06:44:13.000Z

2019-03-24T10:07:07.000Z

cookbook/c05/p14_bypass_encode.py

itpubs/python3-cookbook

140f5e4cc0416b9674edca7f4c901b1f58fc1415

[ "Apache-2.0" ]

2

2020-09-19T17:10:23.000Z

2020-10-17T16:43:52.000Z

cookbook/c05/p14_bypass_encode.py

itpubs/python3-cookbook

140f5e4cc0416b9674edca7f4c901b1f58fc1415

[ "Apache-2.0" ]

1

2020-07-20T22:10:31.000Z

#!/usr/bin/env python # -*- encoding: utf-8 -*- """ Topic: 忽略文件名编码 Desc : """ import sys def bypass_encoding(): print(sys.getfilesystemencoding()) if __name__ == '__main__': bypass_encoding()

12.8125

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15

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null

1

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null

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1

0

4

0bc1edc0e4cbae8e04c0adc8db21d18c95642709

688

py

Python

algorithms/0002-Fibonacci/test_fibonacci.py

ivamluz/Algorithms-and-Data-Structures

cffacd758adf134dabc63cdc107c8b485b00b1c1

[ "Apache-2.0" ]

1

2018-11-06T22:43:07.000Z

algorithms/0002-Fibonacci/test_fibonacci.py

ivamluz/Algorithms-and-Data-Structures

cffacd758adf134dabc63cdc107c8b485b00b1c1

[ "Apache-2.0" ]

null

algorithms/0002-Fibonacci/test_fibonacci.py

ivamluz/Algorithms-and-Data-Structures

cffacd758adf134dabc63cdc107c8b485b00b1c1

[ "Apache-2.0" ]

null

import unittest from fibonacci import build_fibonacci_sequence_up_to class TestFibonacci(unittest.TestCase): def test_negative_number(self): self.assertEqual(build_fibonacci_sequence_up_to(-1), None) def test_zero(self): self.assertEqual(build_fibonacci_sequence_up_to(0), None) def test_single_sequence(self): self.assertEqual(build_fibonacci_sequence_up_to(1), [0, 1, 1]) def test_small_max_value(self): self.assertEqual(build_fibonacci_sequence_up_to(5), [0, 1, 1, 2, 3, 5]) def test_larger_max_value(self): self.assertEqual(build_fibonacci_sequence_up_to(100), [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]) if __name__ == '__main__': unittest.main()

32.761905

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null

0

1

0

1

0

4

e7e329a9dbeaa673c206d9c4c6b7714d64a669a9

588

py

Python

fungsi_2.py

rpurnama/pycodes

bc507d9b6eab30e39d69946ee07eebcd538546af

[ "Unlicense" ]

1

2020-07-25T16:57:57.000Z

fungsi_2.py

itbj/PyCodes

6a3f3a6d4e70882e00991493839a6af0fabeaab4

[ "Unlicense" ]

null

fungsi_2.py

itbj/PyCodes

6a3f3a6d4e70882e00991493839a6af0fabeaab4

[ "Unlicense" ]

1

2020-07-25T16:58:27.000Z

def fungsi_tanpa_parameter(): temp = 0 for i in range(1,5): temp = temp + i return temp def fungsi_berparameter(batas_akhir): temp = 0 for i in range(1, batas_akhir): temp = temp + i return temp print "Contoh penggunaan fungsi tanpa parameter:" print "Hasil: ",fungsi_tanpa_parameter() print "Hasil: ",fungsi_tanpa_parameter() print "Hasil: ",fungsi_tanpa_parameter() print "\n\n" print "Contoh penggunaan fungsi berparameter:" print "Hasil : ",fungsi_berparameter(15) print "Hasil : ",fungsi_berparameter(20) print "Hasil : ",fungsi_berparameter(25)

25.565217

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588

5.05

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0.022727

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0

null

0

1

0

1

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4

f005201127b41fc978483374b122c40f8e43f017

91

py

Python

cureview/apps.py

Culpa-io/culpa.io

28e33b1c8b979759bb7b5f383a85bbd2bcbf67b5

[ "MIT" ]

9

2021-11-10T15:51:07.000Z

2021-12-11T05:27:24.000Z

cureview/apps.py

Culpa-io/culpa.io

28e33b1c8b979759bb7b5f383a85bbd2bcbf67b5

[ "MIT" ]

16

2021-11-10T11:11:51.000Z

2021-12-28T02:08:27.000Z

cureview/apps.py

Culpa-io/culpa.io

28e33b1c8b979759bb7b5f383a85bbd2bcbf67b5

[ "MIT" ]

1

2021-11-11T22:04:07.000Z

from django.apps import AppConfig class CureviewConfig(AppConfig): name = 'cureview'

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33

0.758242

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91

6.9

0.9

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0.164835

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18.2

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1

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false

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1

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null

0

1

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1

0

4

f005c7d51ca263b319e547414322c807726c3a3d

77

py

Python

core/pattern/__init__.py

YorkSu/deepgo

2f22ad50d2958a4f1c7dfc0af6fcd448f5e7e18d

[ "Apache-2.0" ]

null

core/pattern/__init__.py

YorkSu/deepgo

2f22ad50d2958a4f1c7dfc0af6fcd448f5e7e18d

[ "Apache-2.0" ]

null

core/pattern/__init__.py

YorkSu/deepgo

2f22ad50d2958a4f1c7dfc0af6fcd448f5e7e18d

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """Deep Go Patterns ====== Design Patterns """

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23

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8

77

4.75

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0

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0.233766

77

7

24

11

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0

null

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true

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1

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1

0

null

0

1

0

4

f05fc8422260c54952941ff9cb54a3f621e03c7d

228

py

Python

starborn/__init__.py

PythonCharmers/starborn

50dfceb0cf7c47aee9b3139086c49469554dea44

[ "BSD-3-Clause" ]

51

2018-05-30T23:46:29.000Z

2022-03-03T04:13:18.000Z

starborn/__init__.py

PythonCharmers/starborn

50dfceb0cf7c47aee9b3139086c49469554dea44

[ "BSD-3-Clause" ]

1

2018-09-13T03:09:38.000Z

2019-03-20T17:24:06.000Z

starborn/__init__.py

PythonCharmers/starborn

50dfceb0cf7c47aee9b3139086c49469554dea44

[ "BSD-3-Clause" ]

6

2018-08-15T23:13:25.000Z

2020-03-24T03:21:58.000Z

""" starborn: statistical data visualization based on Vega and Altair Plot types available: - scatterplot - jointplot - heatmap - stripplot - pairplot - barplot - violinplot """ from .core import *

15.2

65

0.653509

22

228

6.772727

1

0

0.27193

228

14

66

16.285714

0.89759

0.868421

0

1

0

true

0

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null

0

1

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1

0

4

b2b9681e0e7bc7d5d539ec42d9c3da87eaca8d7a

53

py

Python

utils/cyan_target_ref_moving.py

Dorky-Lever/vpv

0f156b2ad79cbb7060140434e34b5841ab5b1a26

[ "Apache-2.0" ]

null

utils/cyan_target_ref_moving.py

Dorky-Lever/vpv

0f156b2ad79cbb7060140434e34b5841ab5b1a26

[ "Apache-2.0" ]

null

utils/cyan_target_ref_moving.py

Dorky-Lever/vpv

0f156b2ad79cbb7060140434e34b5841ab5b1a26

[ "Apache-2.0" ]

null

""" When pointed to a line directory, open up vpv """

17.666667

45

0.679245

9

53

4

1

0

0.188679

53

3

46

17.666667

0.837209

0.849057

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

b2c4088cde21cc832f3fc9a457e3be4133082640

338

py

Python

test/formats/test_brfld.py

duncathan/mercury-engine-data-structures

1bc4117dba9c7961d9a8f1b7f11b62daaf82b09b

[ "MIT" ]

null

test/formats/test_brfld.py

duncathan/mercury-engine-data-structures

1bc4117dba9c7961d9a8f1b7f11b62daaf82b09b

[ "MIT" ]

null

test/formats/test_brfld.py

duncathan/mercury-engine-data-structures

1bc4117dba9c7961d9a8f1b7f11b62daaf82b09b

[ "MIT" ]

2

2021-11-07T13:42:13.000Z

2022-01-08T06:00:40.000Z

from mercury_engine_data_structures.formats.brfld import BRFLD from mercury_engine_data_structures.game_check import Game from test.test_lib import parse_and_build_compare def test_compare_dread(dread_path): parse_and_build_compare( BRFLD, Game.DREAD, dread_path.joinpath("packs/maps/s090_skybase/s090_skybase.brfld") )

33.8

92

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338

9

93

37.555556

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0

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0

1

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false

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0

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1

0

1

0

null

0

1

0

1

0

4

e8dc574c7798992b543a7d36de0fcc289eb16da7

165

py

Python

src/reputation/apps.py

ResearchHub/ResearchHub-Backend-Open

d36dca33afae2d442690694bb2ab17180d84bcd3

[ "MIT" ]

18

2021-05-20T13:20:16.000Z

2022-02-11T02:40:18.000Z

src/reputation/apps.py

ResearchHub/ResearchHub-Backend-Open

d36dca33afae2d442690694bb2ab17180d84bcd3

[ "MIT" ]

109

2021-05-21T20:14:23.000Z

2022-03-31T20:56:10.000Z

src/reputation/apps.py

ResearchHub/ResearchHub-Backend-Open

d36dca33afae2d442690694bb2ab17180d84bcd3

[ "MIT" ]

4

2021-05-17T13:47:53.000Z

2022-02-12T10:48:21.000Z

from django.apps import AppConfig class ReputationConfig(AppConfig): name = 'reputation' def ready(self): import reputation.signals # noqa: F401

18.333333

47

0.70303

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6.444444

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0

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165

8

48

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0

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null

0

1

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1

0

4

e8e3d8af6837089942239a0c83c9354236c9bc85

196

py

Python

tests/tensorflow/utils.py

NRauschmayr/sagemaker-debugger

24ed65631143fcc0457fb325a102500ebd69adfc

[ "Apache-2.0" ]

133

2019-12-03T18:56:27.000Z

2022-03-18T19:54:49.000Z

tests/tensorflow/utils.py

NRauschmayr/sagemaker-debugger

24ed65631143fcc0457fb325a102500ebd69adfc

[ "Apache-2.0" ]

384

2019-12-04T03:04:14.000Z

2022-03-31T20:42:48.000Z

tests/tensorflow/utils.py

NRauschmayr/sagemaker-debugger

24ed65631143fcc0457fb325a102500ebd69adfc

[ "Apache-2.0" ]

64

2019-12-05T20:39:51.000Z

2022-03-25T13:30:54.000Z

# First Party from smdebug.trials import create_trial def create_trial_fast_refresh(path, **kwargs): tr = create_trial(path, **kwargs) tr.training_end_delay_refresh = 0.01 return tr

21.777778

46

0.744898

29

196

4.758621

0.689655

0.23913

0.173913

0

0.018405

0.168367

196

8

47

24.5

0.828221

0.056122

0

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false

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null

1

0

1

0

null

0

1

0

4

3300d8938bea59a70f0b1eacd091f9f60236b7ec

21

py

Python

tests/test_matrices/__init__.py

paniash/toqito

ab67c2a3fca77b3827be11d1e79531042ea62b82

[ "MIT" ]

76

2020-01-28T17:02:01.000Z

2022-02-14T18:02:15.000Z

tests/test_matrices/__init__.py

paniash/toqito

ab67c2a3fca77b3827be11d1e79531042ea62b82

[ "MIT" ]

82

2020-05-31T20:09:38.000Z

2022-03-28T17:13:59.000Z

tests/test_matrices/__init__.py

paniash/toqito

ab67c2a3fca77b3827be11d1e79531042ea62b82

[ "MIT" ]

30

2020-04-02T16:07:11.000Z

2022-02-05T13:39:22.000Z

"""Test matrices."""

10.5

20

0.571429

2

21

6

1

0

0.095238

21

1

21

0.631579

0.666667

0

null

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null

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null

true

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1

0

null

0

1

0

null

0

1

0

4

682cb33f3927c2551f3e93977e4827169859222e

220

py

Python

src/sqlfluff/api/__init__.py

netlify/sqlfluff

6f22eb08a0701f41132ee4847ddf1a64ca79da80

[ "MIT" ]

2

2021-08-04T08:58:33.000Z

2021-08-04T18:54:06.000Z

src/sqlfluff/api/__init__.py

netlify/sqlfluff

6f22eb08a0701f41132ee4847ddf1a64ca79da80

[ "MIT" ]

null

src/sqlfluff/api/__init__.py

netlify/sqlfluff

6f22eb08a0701f41132ee4847ddf1a64ca79da80

[ "MIT" ]

1

2021-03-07T21:49:52.000Z

"""Elements which wrap the sqlfluff core library for public use.""" # flake8: noqa: F401 # Expose the simple api from sqlfluff.api.simple import lint, fix, parse from sqlfluff.api.info import list_rules, list_dialects

27.5

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0.772727

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0.021277

0.145455

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0.87234

0.468182

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0

true

0

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null

0

1

0

1

0

1

0

4

683fba1d9b5075e9ba233d70774c34c8cbd2c239

104

py

Python

papermerge/contrib/admin/apps.py

MinchinWeb/papermerge

8a5f73207413a3ea8989d277e140d448baa35ca4

[ "Apache-2.0" ]

1

2021-01-24T14:59:52.000Z

papermerge/contrib/admin/apps.py

MinchinWeb/papermerge

8a5f73207413a3ea8989d277e140d448baa35ca4

[ "Apache-2.0" ]

null

papermerge/contrib/admin/apps.py

MinchinWeb/papermerge

8a5f73207413a3ea8989d277e140d448baa35ca4

[ "Apache-2.0" ]

null

from django.apps import AppConfig class AdminConfig(AppConfig): name = 'papermerge.contrib.admin'

17.333333

37

0.769231

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104

6.666667

0.916667

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0.144231

104

5

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20.8

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0

1

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null

0

1

0

1

0

4

68743f4df63c89c50daf3dd7fe0164103f27e791

903

py

Python

test/strings/format15.py

kylebarron/MagicPython

da6fa0793e2c85d3bf7709ff1d4f65ccf468db11

[ "MIT" ]

1,482

2015-10-16T21:59:32.000Z

2022-03-30T11:44:40.000Z

test/strings/format15.py

kylebarron/MagicPython

da6fa0793e2c85d3bf7709ff1d4f65ccf468db11

[ "MIT" ]

226

2015-10-15T15:53:44.000Z

2022-03-25T03:08:27.000Z

test/strings/format15.py

kylebarron/MagicPython

da6fa0793e2c85d3bf7709ff1d4f65ccf468db11

[ "MIT" ]

129

2015-10-20T02:41:49.000Z

2022-03-22T01:44:36.000Z

a = ''' {{ before detection }} {# jinja comment #} {{ after detection }} ''' a : source.python : source.python = : keyword.operator.assignment.python, source.python : source.python ''' : punctuation.definition.string.begin.python, source.python, string.quoted.multi.python {{ : constant.character.format.placeholder.other.python, meta.format.brace.python, source.python, string.quoted.multi.python before detection : source.python, string.quoted.multi.python }} : constant.character.format.placeholder.other.python, meta.format.brace.python, source.python, string.quoted.multi.python {# jinja comment #} : source.python, string.quoted.multi.python {{ after detection }} : source.python, string.quoted.multi.python ''' : punctuation.definition.string.end.python, source.python, string.quoted.multi.python

45.15

135

0.679956

98

903

6.265306

0.255102

0.214984

0.205212

0.273616

0.662866

0.605863

0.442997

0

0.184939

903

19

136

47.526316

0.834239

0

0.2

0

0.198198

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null

0

null

0

null

1

0

null

0

1

0

4

d79a6eb637bf83abb56097c5470bda984bc81e11

284

py

Python

scripts/wk/cfg/__init__.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

null

scripts/wk/cfg/__init__.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

178

2017-11-17T19:14:31.000Z

2021-12-15T07:43:29.000Z

scripts/wk/cfg/__init__.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

1

2017-11-17T19:32:36.000Z

"""WizardKit: cfg module init""" from . import ddrescue from . import hw from . import launchers from . import log from . import main from . import music from . import net from . import repairs from . import setup from . import sources from . import ufd from . import windows_builds

18.933333

32

0.746479

41

284

5.146341

0.463415

0.56872

0

0.18662

284

14

33

20.285714

0.91342

0.091549

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

4

d79db252c610183b988a233e001822dae101ce14

5,497

py

Python

etl/parsers/etw/Microsoft_Windows_Folder_Redirection.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

104

2020-03-04T14:31:31.000Z

2022-03-28T02:59:36.000Z

etl/parsers/etw/Microsoft_Windows_Folder_Redirection.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

7

2020-04-20T09:18:39.000Z

2022-03-19T17:06:19.000Z

etl/parsers/etw/Microsoft_Windows_Folder_Redirection.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

16

2020-03-05T18:55:59.000Z

2022-03-01T10:19:28.000Z

# -*- coding: utf-8 -*- """ Microsoft-Windows-Folder Redirection GUID : 7d7b0c39-93f6-4100-bd96-4dda859652c5 """ from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct from etl.utils import WString, CString, SystemTime, Guid from etl.dtyp import Sid from etl.parsers.etw.core import Etw, declare, guid @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=501, version=0) class Microsoft_Windows_Folder_Redirection_501_0(Etw): pattern = Struct( "FromFolder" / WString, "ToFolder" / WString, "Options" / Int32ul ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=502, version=0) class Microsoft_Windows_Folder_Redirection_502_0(Etw): pattern = Struct( "FromFolder" / WString, "ToFolder" / WString, "Options" / Int32ul, "Error" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=503, version=0) class Microsoft_Windows_Folder_Redirection_503_0(Etw): pattern = Struct( "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=505, version=0) class Microsoft_Windows_Folder_Redirection_505_0(Etw): pattern = Struct( "Folder" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=506, version=0) class Microsoft_Windows_Folder_Redirection_506_0(Etw): pattern = Struct( "Folder" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=507, version=0) class Microsoft_Windows_Folder_Redirection_507_0(Etw): pattern = Struct( "Folder" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=508, version=0) class Microsoft_Windows_Folder_Redirection_508_0(Etw): pattern = Struct( "Folder" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=509, version=0) class Microsoft_Windows_Folder_Redirection_509_0(Etw): pattern = Struct( "Folder" / WString, "Path" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=511, version=0) class Microsoft_Windows_Folder_Redirection_511_0(Etw): pattern = Struct( "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=512, version=0) class Microsoft_Windows_Folder_Redirection_512_0(Etw): pattern = Struct( "FromFolder" / WString, "ToFolder" / WString, "Options" / Int32ul ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=513, version=0) class Microsoft_Windows_Folder_Redirection_513_0(Etw): pattern = Struct( "FromFolder" / WString, "ToFolder" / WString, "Options" / Int32ul, "Error" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=514, version=0) class Microsoft_Windows_Folder_Redirection_514_0(Etw): pattern = Struct( "Folder" / WString, "Options" / Int32ul ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=515, version=0) class Microsoft_Windows_Folder_Redirection_515_0(Etw): pattern = Struct( "Folder" / WString, "Options" / Int32ul, "Error" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=516, version=0) class Microsoft_Windows_Folder_Redirection_516_0(Etw): pattern = Struct( "Folder" / WString, "Options" / Int32ul ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=517, version=0) class Microsoft_Windows_Folder_Redirection_517_0(Etw): pattern = Struct( "Folder" / WString, "Options" / Int32ul, "Error" / WString, "ErrorDetails" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=1002, version=0) class Microsoft_Windows_Folder_Redirection_1002_0(Etw): pattern = Struct( "GPFlags" / Int32ul ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=1004, version=0) class Microsoft_Windows_Folder_Redirection_1004_0(Etw): pattern = Struct( "ConfigurationFile" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=1005, version=0) class Microsoft_Windows_Folder_Redirection_1005_0(Etw): pattern = Struct( "Folder" / WString, "Options" / Int32ul ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=1006, version=0) class Microsoft_Windows_Folder_Redirection_1006_0(Etw): pattern = Struct( "Folder" / WString, "Options" / Int32ul, "ParentFolder" / WString, "Path" / WString, "Group" / WString ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=1009, version=0) class Microsoft_Windows_Folder_Redirection_1009_0(Etw): pattern = Struct( "Error" / Int32ul ) @declare(guid=guid("7d7b0c39-93f6-4100-bd96-4dda859652c5"), event_id=1010, version=0) class Microsoft_Windows_Folder_Redirection_1010_0(Etw): pattern = Struct( "Result" / WString )

29.084656

123

0.689285

637

5,497

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0.096096

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0.198198

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0

0.157331

0.184828

5,497

188

124

29.239362

0.660121

0.018737

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0.478571

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0.218384

0.14039

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false

0

0.028571

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0.328571

0

null

0

1

0

null

0

4

d7aa530ee930c29ecf8bcc8554a13d065349e605

87

py

Python

pkg/win32/mod_tools/tools/scripts/Colour.py

hexgear-studio/ds_mod_tools

3fe0cad89848c9d0fca8a4139a0491d188497636

[ "MIT" ]

112

2015-01-15T21:36:02.000Z

2021-12-28T19:19:01.000Z

pkg/win32/mod_tools/tools/scripts/Colour.py

hexgear-studio/ds_mod_tools

3fe0cad89848c9d0fca8a4139a0491d188497636

[ "MIT" ]

6

2017-03-14T00:42:42.000Z

2022-01-06T23:09:18.000Z

pkg/win32/mod_tools/tools/scripts/Colour.py

hexgear-studio/ds_mod_tools

3fe0cad89848c9d0fca8a4139a0491d188497636

[ "MIT" ]

35

2015-01-15T21:34:36.000Z

2022-01-29T07:42:34.000Z

from collections import namedtuple Colour = namedtuple( "Colour", "r, g, b, a" )

17.4

46

0.655172

11

87

5.181818

0.818182

0.561404

0

0.218391

87

4

47

21.75

0.838235

0

0.195122

0

1

0

false

0

0.5

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0

null

1

0

1

0

null

0

1

0

4

d7c9782d16140bfb64114abc7e9cc89715c70b82

94

py

Python

repos/system_upgrade/common/topics/sctpconfigtopic.py

sm00th/leapp-repository

1c171ec3a5f9260a3c6f84a9b15cad78a875ac61

[ "Apache-2.0" ]

21

2018-11-20T15:58:39.000Z

2022-03-15T19:57:24.000Z

repos/system_upgrade/common/topics/sctpconfigtopic.py

sm00th/leapp-repository

1c171ec3a5f9260a3c6f84a9b15cad78a875ac61

[ "Apache-2.0" ]

732

2018-11-21T18:33:26.000Z

2022-03-31T16:16:24.000Z

repos/system_upgrade/common/topics/sctpconfigtopic.py

sm00th/leapp-repository

1c171ec3a5f9260a3c6f84a9b15cad78a875ac61

[ "Apache-2.0" ]

85

2018-11-20T17:55:00.000Z

2022-03-29T09:40:31.000Z

from leapp.topics import Topic class SCTPConfigTopic(Topic): name = 'sctp_config_topic'

15.666667

30

0.765957

12

94

5.833333

0.833333

0

0.159574

94

5

31

18.8

0.886076

0

0.180851

0

1

0

false

0

0.333333

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

d7d9bc27e8d0bc2afbcd040e1cc1596b66b24609

288

py

Python

gql_schema_codegen/utils/pascal_case.py

sauldom102/gql_schema_codegen

f3bb813874760a8495e67c770d4622674fef0632

[ "MIT" ]

2

2022-03-26T20:33:17.000Z

2022-03-26T23:15:17.000Z

gql_schema_codegen/utils/pascal_case.py

sauldom102/gql_schema_codegen

f3bb813874760a8495e67c770d4622674fef0632

[ "MIT" ]

null

gql_schema_codegen/utils/pascal_case.py

sauldom102/gql_schema_codegen

f3bb813874760a8495e67c770d4622674fef0632

[ "MIT" ]

null

import re def pascal_case(string: str): cleaned_string = string.replace(" ", "") first_letter = re.search(r'\w', cleaned_string) if not first_letter: return '' return cleaned_string[:first_letter.start() + 1].upper() + cleaned_string[first_letter.start() + 1:]

26.181818

104

0.666667

38

288

4.815789

0.526316

0.284153

0.196721

0.262295

0.327869

0

0.008547

0.1875

288

10

105

28.8

0.773504

0

0.010417

0

1

0.142857

false

0

0.142857

0

0.571429

0

null

1

0

null

0

1

0

4

d7e24f60942cf45c69466ed028b940dddd1662bf

176

py

Python

api/teams/tests/factories.py

django-doctor/lite-api

1ba278ba22ebcbb977dd7c31dd3701151cd036bf

[ "MIT" ]

null

api/teams/tests/factories.py

django-doctor/lite-api

1ba278ba22ebcbb977dd7c31dd3701151cd036bf

[ "MIT" ]

null

api/teams/tests/factories.py

django-doctor/lite-api

1ba278ba22ebcbb977dd7c31dd3701151cd036bf

[ "MIT" ]

null

import factory from api.teams.models import Team class TeamFactory(factory.django.DjangoModelFactory): name = factory.Faker("word") class Meta: model = Team

17.6

53

0.715909

21

176

6

0.761905

0

0.198864

176

9

54

19.555556

0.893617

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0

1

0

false

0

0.333333

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d7eb7015ce4d92af8f3c3240b69b93dfbe6383f9

538

py

Python

social-test-setup/config/setup_config.py

ONSdigital/rm-tools

4fda49bf94e15a0a8a085e1c0e22e6f8cf1b2fc4

[ "MIT" ]

1

2017-11-09T09:38:29.000Z

social-test-setup/config/setup_config.py

ONSdigital/rm-tools

4fda49bf94e15a0a8a085e1c0e22e6f8cf1b2fc4

[ "MIT" ]

10

2017-11-15T10:57:50.000Z

2018-10-24T07:10:24.000Z

social-test-setup/config/setup_config.py

ONSdigital/rm-tools

4fda49bf94e15a0a8a085e1c0e22e6f8cf1b2fc4

[ "MIT" ]

1

2021-04-11T08:02:50.000Z

import os from requests.auth import HTTPBasicAuth class Config: USERNAME = os.getenv('AUTH_USERNAME') PASSWORD = os.getenv('AUTH_PASSWORD') AUTH = HTTPBasicAuth(USERNAME, PASSWORD) SURVEY_SERVICE_URL = os.getenv('SURVEY_SERVICE_URL') COLLECTION_EXERCISE_SERVICE_URL = os.getenv('COLLECTION_EXERCISE_SERVICE_URL') SAMPLE_SERVICE_URL = os.getenv('SAMPLE_SERVICE_URL') COLLECTION_INSTRUMENT_SERVICE_URL = os.getenv('COLLECTION_INSTRUMENT_SERVICE_URL') ACTION_SERVICE_URL = os.getenv('ACTION_SERVICE_URL')

33.625

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0.782528

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538

5.895522

0.283582

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0.151899

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15

87

35.866667

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0

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false

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null

1

0

1

0

null

0

1

0

1

0

4

cc084796fb58e74210df0cd6cb39ef350710ed33

91

py

Python

django-postgres-docker/src/dummy/dummyapp/apps.py

ruddra/ship-container-with-db

d6abd104aa647622e690e5e690d55baba82b009d

[ "MIT" ]

1

2020-02-28T14:34:15.000Z

django-postgres-docker/src/dummy/dummyapp/apps.py

ruddra/ship-app-with-db-docker

d6abd104aa647622e690e5e690d55baba82b009d

[ "MIT" ]

null

django-postgres-docker/src/dummy/dummyapp/apps.py

ruddra/ship-app-with-db-docker

d6abd104aa647622e690e5e690d55baba82b009d

[ "MIT" ]

null

from django.apps import AppConfig class DummyappConfig(AppConfig): name = 'dummyapp'

15.166667

33

0.758242

10

91

6.9

0.9

0

0.164835

91

5

34

18.2

0.907895

0

0.087912

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

cc143bc34c0d4040bc3d9e7251c21ca1ddaf1e94

542

py

Python

6 kyu/Vasya - Clerk/Vasya - Clerk.py

anthonyjatoba/codewars

76b0d66dd1ba76a4d136b658920cdf85fd5c4b06

[ "MIT" ]

null

6 kyu/Vasya - Clerk/Vasya - Clerk.py

anthonyjatoba/codewars

76b0d66dd1ba76a4d136b658920cdf85fd5c4b06

[ "MIT" ]

null

6 kyu/Vasya - Clerk/Vasya - Clerk.py

anthonyjatoba/codewars

76b0d66dd1ba76a4d136b658920cdf85fd5c4b06

[ "MIT" ]

null

def tickets(people): twenty_fives = 0 fifties = 0 for p in people: if p == 25: twenty_fives += 1 if p == 50: if twenty_fives == 0: return 'NO' twenty_fives -= 1 fifties += 1 if p == 100: if fifties >= 1 and twenty_fives >= 1: twenty_fives -= 1 fifties -= 1 elif twenty_fives >= 3: twenty_fives -= 3 else: return 'NO' return 'YES'

25.809524

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0.405904

59

542

3.59322

0.372881

0.415094

0.226415

0.179245

0.188679

0

0.071698

0.51107

542

20

51

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0.2

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0.2

0

null

1

0

1

0

null

0

4

cc1f6856df4a98739a9ad483fd5b514a3fa518d7

99

py

Python

sort.py

awesome-archive/awesome-vehicle-security

08c7dca5dc32d1e3ad0902b9682bd16a5b12eecd

[ "CC0-1.0" ]

101

2016-07-29T07:33:33.000Z

2022-03-28T13:26:13.000Z

sort.py

plapczyn/awesome-vehicle-security

a04328fdf1b0720e79e7bc7e5f153b5c9f2940d2

[ "CC0-1.0" ]

null

sort.py

plapczyn/awesome-vehicle-security

a04328fdf1b0720e79e7bc7e5f153b5c9f2940d2

[ "CC0-1.0" ]

29

2016-08-21T02:59:18.000Z

2022-03-27T18:21:02.000Z

#!/use/bin/env python # -*- coding: utf-8 -*- # Will put code here to appropriately sort entries.

19.8

51

0.666667

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99

4.4

1

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0.171717

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4

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0bcece38ddd0b0417ffc9c6670fb020fd8bb22fe

251

py

Python

platform/hwconf_data/zgm13/upgrade/sdk_2_2_0_GA/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

null

platform/hwconf_data/zgm13/upgrade/sdk_2_2_0_GA/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

1

2020-08-25T02:36:22.000Z

platform/hwconf_data/zgm13/upgrade/sdk_2_2_0_GA/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

1

2020-08-25T01:56:04.000Z

import os import glob ms = glob.glob(os.path.dirname(__file__)+"/*upgrade.py") __all__ = [os.path.relpath(f, start=os.path.dirname(__file__))[:-3].replace(os.path.sep, ".") for f in ms if os.path.isfile(f) and not os.path.basename(f).startswith('_')]

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null

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4

0bd145befc47c68ff30ea98bdd06e2901f3e66f6

228

py

Python

examples/train_demonstration.py

southpawac/AnimalAI-Olympics

efa08a78b2ddad27260c160323a0b20541c13c29

[ "Apache-2.0" ]

607

2019-04-30T21:10:58.000Z

2022-03-03T16:36:54.000Z

examples/train_demonstration.py

KacperKazan/AnimalAI-Olympics

c2742dc7344e3907980cf7f1b4fabb1ab09c7062

[ "Apache-2.0" ]

75

2019-05-02T10:26:28.000Z

2022-02-07T03:02:44.000Z

examples/train_demonstration.py

KacperKazan/AnimalAI-Olympics

c2742dc7344e3907980cf7f1b4fabb1ab09c7062

[ "Apache-2.0" ]

109

2019-05-01T10:29:35.000Z

2022-03-30T07:22:05.000Z

# TODO: for later release, will need to add a recorder within the compiled # TODO: environment, (if that's feasible at all) # TODO: https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-Imitation-Learning.md

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null

0

1

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4

0be878688eff94af6cd82c6d127304ff3c9bf872

63

py

Python

utils/constants.py

XinGuoZJU/SPFN

e7fc2fb40e42c39c1a9329b2495127d2b945cef8

[ "MIT" ]

85

2019-08-18T03:55:20.000Z

2022-03-31T12:44:58.000Z

utils/constants.py

XinGuoZJU/SPFN

e7fc2fb40e42c39c1a9329b2495127d2b945cef8

[ "MIT" ]

11

2019-08-13T15:13:44.000Z

2021-11-25T03:46:24.000Z

utils/constants.py

XinGuoZJU/SPFN

e7fc2fb40e42c39c1a9329b2495127d2b945cef8

[ "MIT" ]

19

2019-10-09T02:00:18.000Z

2021-11-30T06:23:08.000Z

DIVISION_EPS = 1e-10 SQRT_EPS = 1e-10 LS_L2_REGULARIZER = 1e-8

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0

null

0

4

041420282cdc2977b700b5628aba229eda92966d

657

py

Python

deliveries/david/circular-buffer/circular_buffer.py

mesmacosta/python-ciandt-intership

65a8941997eee5d683e56de55d33423b2566b7d0

[ "MIT" ]

1

2020-08-31T23:06:43.000Z

deliveries/david/circular-buffer/circular_buffer.py

mesmacosta/python-ciandt-intership

65a8941997eee5d683e56de55d33423b2566b7d0

[ "MIT" ]

null

deliveries/david/circular-buffer/circular_buffer.py

mesmacosta/python-ciandt-intership

65a8941997eee5d683e56de55d33423b2566b7d0

[ "MIT" ]

null

class BufferFullException(Exception): def __init__(self, msg): self.msg = msg class BufferEmptyException(Exception): def __init__(self, msg): self.msg = msg class CircularBuffer: def __init__(self, capacity): self.list_circulator = list() self.list_circulator.append(','.join(str(capacity))) def read(self): if self.list_circulator == None: return BufferEmptyException("Empty") else: for items in self.list_circulator: return items def write(self, data): pass def overwrite(self, data): pass def clear(self): pass

21.193548

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0

1

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043cb72f595fe34a6e2af91d4e2fbe7bb2e7f710

390

py

Python

ttr/plugins/templates/__init__.py

dmulyalin/template-text-renderer

f1993b6e8f652d55207b7d0961673dea8e7ffec1

[ "MIT" ]

5

2021-01-27T03:58:04.000Z

2022-02-06T14:20:26.000Z

ttr/plugins/templates/__init__.py

dmulyalin/template-text-renderer

f1993b6e8f652d55207b7d0961673dea8e7ffec1

[ "MIT" ]

1

2021-12-21T15:17:55.000Z

2021-12-23T07:31:26.000Z

ttr/plugins/templates/__init__.py

dmulyalin/template-text-renderer

f1993b6e8f652d55207b7d0961673dea8e7ffec1

[ "MIT" ]

null

from . import base_template_loader from . import xlsx_template_loader from . import ttr_template_loader from . import file_template_loader from . import dir_template_loader templates_loaders_plugins = { "base": base_template_loader.load, "xlsx": xlsx_template_loader.load, "ttr": ttr_template_loader.load, "file": file_template_loader.load, "dir": dir_template_loader }

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0

null

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0451eff0728a4d36038a7bd73ccf80f6705bc5c0

61

py

Python

torchbnn/__init__.py

Harry24k/bayesian-neural-network-pytorch

d2272f09e0d08c1abe1f53ce6df56b31494d7020

[ "MIT" ]

178

2019-12-08T14:46:56.000Z

2022-03-23T04:12:35.000Z

torchbnn/__init__.py

Harry24k/bayesian-neural-network-pytorch

d2272f09e0d08c1abe1f53ce6df56b31494d7020

[ "MIT" ]

8

2019-11-07T05:45:37.000Z

2020-12-07T11:07:05.000Z

torchbnn/__init__.py

Harry24k/bayesian-neural-network-pytorch

d2272f09e0d08c1abe1f53ce6df56b31494d7020

[ "MIT" ]

24

2020-02-04T12:32:33.000Z

2022-03-18T13:13:08.000Z

from .modules import * from . import utils __version__ = 1.2

15.25

22

0.737705

9

61

4.555556

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null

0

1

0

1

0

4

f0b010d3dc51ee3289bc1dc8a1188f9546cacc22

123

py

Python

Task/Letter-frequency/Python/letter-frequency-5.py

mullikine/RosettaCodeData

4f0027c6ce83daa36118ee8b67915a13cd23ab67

[ "Info-ZIP" ]

5

2021-01-29T20:08:05.000Z

2022-03-22T06:16:05.000Z

Task/Letter-frequency/Python/letter-frequency-5.py

seanwallawalla-forks/RosettaCodeData

9ad63ea473a958506c041077f1d810c0c7c8c18d

[ "Info-ZIP" ]

null

Task/Letter-frequency/Python/letter-frequency-5.py

seanwallawalla-forks/RosettaCodeData

9ad63ea473a958506c041077f1d810c0c7c8c18d

[ "Info-ZIP" ]

1

2018-11-09T22:08:40.000Z

lettercounts = countletters(sourcedata) for letter,count in lettercounts.iteritems(): print "%s=%s" % (letter, count),

30.75

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0.723577

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6.357143

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1

0

1

0

null

0

1

0

4

f0d6e638553a36b93ca9db497b6f8e345592c874

98

py

Python

In-Class-Assignments/LibraryBook.py

codewitty/Python

607d0e3a4c6ad4ca1f120cd8d18e637d7cb59556

[ "MIT" ]

null

In-Class-Assignments/LibraryBook.py

codewitty/Python

607d0e3a4c6ad4ca1f120cd8d18e637d7cb59556

[ "MIT" ]

null

In-Class-Assignments/LibraryBook.py

codewitty/Python

607d0e3a4c6ad4ca1f120cd8d18e637d7cb59556

[ "MIT" ]

null

class Book: def __init__(self, title, bookType): self.title = title self.bookType = bookType

19.6

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98

5.153846

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1

0

1

0

null

0

1

0

4

f0d85524a99b557933261a3b566fba55f044b29c

194

py

Python

cartoview/site_management/admin.py

Msalah593/cartoview

8eea73a7e363ac806dbfca3ca61f7e9d2c839b6b

[ "BSD-2-Clause" ]

null

cartoview/site_management/admin.py

Msalah593/cartoview

8eea73a7e363ac806dbfca3ca61f7e9d2c839b6b

[ "BSD-2-Clause" ]

null

cartoview/site_management/admin.py

Msalah593/cartoview

8eea73a7e363ac806dbfca3ca61f7e9d2c839b6b

[ "BSD-2-Clause" ]

null

from django.contrib import admin from .models import SiteLogo # Register your models here. @admin.register(SiteLogo) class SiteLogoAdmin(admin.ModelAdmin): list_display = ('site', 'logo')

21.555556

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0.762887

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6.125

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194

8

39

24.25

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0

1

0

false

0

0.4

0

0.8

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null

0

1

0

null

0

1

0

1

0

4

f0e9762728a848ef59daa8230b391e4dd09810c9

281

py

Python

ppq/executor/op/__init__.py

xiguadong/ppq

6c71adb3c2a8ca95967f101724b5e4b3e6f761ff

[ "Apache-2.0" ]

100

2021-12-31T09:34:06.000Z

2022-03-25T02:54:51.000Z

ppq/executor/op/__init__.py

xiguadong/ppq

6c71adb3c2a8ca95967f101724b5e4b3e6f761ff

[ "Apache-2.0" ]

12

2021-12-31T10:28:15.000Z

2022-03-31T07:08:44.000Z

ppq/executor/op/__init__.py

xiguadong/ppq

6c71adb3c2a8ca95967f101724b5e4b3e6f761ff

[ "Apache-2.0" ]

21

2021-12-31T09:51:02.000Z

2022-03-30T12:21:55.000Z

from .torch.shape import SOI_BACKEND_TABLE from .torch import (DEFAULT_BACKEND_TABLE, NXP_BACKEND_TABLE, EXTENSION_BACKEND_TABLE, PPL_DSP_BACKEND_TABLE, PPL_GPU_BACKEND_TABLE, ONNX_BACKEND_TABLE, ACADEMIC_BACKEND_TABLE, TorchBackendContext)

56.2

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5.764706

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true

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0

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null

0

1

0

1

0

4

f0ef1ad5025bdfcb487dbf947e1cf77f608472bd

1,419

py

Python

LogSystem_JE/venv/Lib/site-packages/pygments/lexers/compiled.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

LogSystem_JE/venv/Lib/site-packages/pygments/lexers/compiled.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

LogSystem_JE/venv/Lib/site-packages/pygments/lexers/compiled.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ pygments.lexers.compiled ~~~~~~~~~~~~~~~~~~~~~~~~ Just export lexer classes previously contained in this module. :copyright: Copyright 2006-2020 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. """ from pygments.lexers.jvm import JavaLexer, ScalaLexer from pygments.lexers.c_cpp import CLexer, CppLexer from pygments.lexers.d import DLexer from pygments.lexers.objective import ObjectiveCLexer, \ ObjectiveCppLexer, LogosLexer from pygments.lexers.go import GoLexer from pygments.lexers.rust import RustLexer from pygments.lexers.c_like import ECLexer, ValaLexer, CudaLexer from pygments.lexers.pascal import DelphiLexer, Modula2Lexer, AdaLexer from pygments.lexers.business import CobolLexer, CobolFreeformatLexer from pygments.lexers.fortran import FortranLexer from pygments.lexers.prolog import PrologLexer from pygments.lexers.python import CythonLexer from pygments.lexers.graphics import GLShaderLexer from pygments.lexers.ml import OcamlLexer from pygments.lexers.basic import BlitzBasicLexer, BlitzMaxLexer, MonkeyLexer from pygments.lexers.dylan import DylanLexer, DylanLidLexer, DylanConsoleLexer from pygments.lexers.ooc import OocLexer from pygments.lexers.felix import FelixLexer from pygments.lexers.nimrod import NimrodLexer from pygments.lexers.crystal import CrystalLexer __all__ = []

40.542857

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6.664671

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0.32345

0.034142

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41.735294

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1

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null

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1

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1

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4

0b0543fec2f37cab76ccf3ec0e2079c1d5606c80

177

py

Python

{{ cookiecutter.repo_name }}/{{ cookiecutter.repo_name }}/settings.py

metya/cookiekaker

6d6144e1d3c88d15744e4b2c8b33fa49b1cf057b

[ "MIT" ]

1

2019-12-18T07:24:16.000Z

{{ cookiecutter.repo_name }}/{{ cookiecutter.repo_name }}/settings.py

metya/cookiekaker

6d6144e1d3c88d15744e4b2c8b33fa49b1cf057b

[ "MIT" ]

null

{{ cookiecutter.repo_name }}/{{ cookiecutter.repo_name }}/settings.py

metya/cookiekaker

6d6144e1d3c88d15744e4b2c8b33fa49b1cf057b

[ "MIT" ]

null

import os import dotenv import signal signal.signal(signal.SIGINT, signal.default_int_handler) dotenv.load_dotenv(dotenv.find_dotenv()) cwd = os.getenv("CWD") RAND_STATE = 42

17.7

56

0.79661

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177

5.037037

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0.264706

0

0.0125

0.096045

177

10

57

17.7

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0.428571

0

1

0

null

1

0

null

0

1

0

4

9bdd2310c77fc259e4f434d36d46761247656e0b

204

py

Python

my_venv/Scripts/django-admin.py

tayyabsulehri/profiles-rest-api

42ed72b1e2db2b1d6feb06ca11ea2226a2c567cf

[ "MIT" ]

null

my_venv/Scripts/django-admin.py

tayyabsulehri/profiles-rest-api

42ed72b1e2db2b1d6feb06ca11ea2226a2c567cf

[ "MIT" ]

3

2020-02-12T02:36:34.000Z

2021-06-10T22:28:48.000Z

my_venv/Scripts/django-admin.py

tayyabsulehri/profiles-rest-api

42ed72b1e2db2b1d6feb06ca11ea2226a2c567cf

[ "MIT" ]

null

#!c:\amir nawaz\professional\code\python\udemycourse\profiles-rest-api\my_venv\scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()

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0

1

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null

0

1

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1

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4

50118d328650307e021b09275bd267189c0ce750

151

py

Python

python/testData/refactoring/extractmethod/Nonlocal.after.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/refactoring/extractmethod/Nonlocal.after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/refactoring/extractmethod/Nonlocal.after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def foo(): x = 1 def bar(): nonlocal x baz() print(x) def baz(): nonlocal x x = 2 bar() foo()

11.615385

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1

0

1

0

null

0

1

0

4

501f49a9774467ff8a6f1c2cd39aefb5a3bd603f

23,265

py

Python

VFF/vgp.py

AaltoML/VFF

07d77d628f0a7f03fd5727b7c34ac3866c101633

[ "Apache-2.0" ]

null

VFF/vgp.py

AaltoML/VFF

07d77d628f0a7f03fd5727b7c34ac3866c101633

[ "Apache-2.0" ]

null

VFF/vgp.py

AaltoML/VFF

07d77d628f0a7f03fd5727b7c34ac3866c101633

[ "Apache-2.0" ]

null

# Copyright 2016 James Hensman # # 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 __future__ import print_function, absolute_import from functools import reduce import numpy as np import gpflow import tensorflow as tf from .spectral_covariance import make_Kuu, make_Kuf, make_Kuf_np from .kronecker_ops import kvs_dot_vec, kron_vec_apply, kvs_dot_mat, kron_mat_apply, kron float_type = gpflow.settings.dtypes.float_type from gpflow.decors import params_as_tensors from gpflow.decors import name_scope class VGP_1d(gpflow.models.GPModel): def __init__(self, X, Y, ms, a, b, kern, likelihood, mean_function=gpflow.mean_functions.Zero()): """ Here we assume the interval is [a,b] """ assert X.shape[1] == 1 assert isinstance(kern, (gpflow.kernels.Matern12, gpflow.kernels.Matern32, gpflow.kernels.Matern52)) kern = kern gpflow.models.GPModel.__init__(self, X, Y, kern, likelihood, mean_function) self.num_data = X.shape[0] self.num_latent = Y.shape[1] self.a = a self.b = b self.ms = ms # initialize variational parameters Ncos = self.ms.size Nsin = self.ms.size - 1 self.q_mu = gpflow.params.Parameter(np.zeros((Ncos + Nsin, 1))) pos = gpflow.transforms.positive self.q_sqrt = gpflow.params.Parameter(np.ones(Ncos + Nsin), pos) @name_scope('predict') @params_as_tensors def _build_predict(self, X, full_cov=False): # given self.q(v), compute q(f) Kuf = make_Kuf(self.kern, X, self.a, self.b, self.ms) Kuu = make_Kuu(self.kern, self.a, self.b, self.ms) KiKuf = Kuu.solve(Kuf) mu = tf.matmul(tf.transpose(KiKuf), self.q_mu) tmp1 = tf.expand_dims(self.q_sqrt, 1) * KiKuf if full_cov: # Kff var = self.kern.K(X) var = var + tf.matmul(tf.transpose(tmp1), tmp1) # Projected variance Kfu Ki S Ki Kuf var = var - tf.matmul(tf.transpose(Kuf), KiKuf) # Qff var = tf.expand_dims(var, 2) else: var = self.kern.Kdiag(X) # Kff var = var + tf.reduce_sum(tf.square(tmp1), 0) # Projected variance Kfu Ki [A + WWT] Ki Kuf var = var - tf.reduce_sum(Kuf * KiKuf, 0) # Qff var = tf.reshape(var, (-1, 1)) return mu, var @name_scope('KL') @params_as_tensors def build_KL(self): """ We're working in a 'whitened' representation, so this is the KL between q(u) and N(0, 1) """ Kuu = make_Kuu(self.kern, self.a, self.b, self.ms) Kim = Kuu.solve(self.q_mu) KL = 0.5*tf.squeeze(tf.matmul(tf.transpose(Kim), self.q_mu)) # Mahalanobis term KL += 0.5 * Kuu.trace_KiX(tf.diag(tf.square(tf.reshape(self.q_sqrt, [-1])))) KL += -0.5*tf.cast(tf.size(self.q_mu), float_type) # Constant term. KL += -0.5*tf.reduce_sum(tf.log(tf.square(self.q_sqrt))) # Log det Q KL += 0.5*Kuu.logdet() # Log det P return KL @name_scope('likelihood') @params_as_tensors def _build_likelihood(self): # compute the mean and variance of the latent function f_mu, f_var = self.build_predict(self.X, full_cov=False) E_lik = self.likelihood.variational_expectations(f_mu, f_var, self.Y) return tf.reduce_sum(E_lik) - self.build_KL() if __name__ == '__main__': from matplotlib import pyplot as plt np.random.seed(0) X = np.random.rand(80, 1)*10 - 5 X = np.sort(X, axis=0) Y = np.cos(3*X) + 2*np.sin(5*X) + np.random.randn(*X.shape)*0.8 Y = np.exp(Y) plt.ion() def plot(m, col='r'): plt.figure() xtest = np.linspace(-8, 6, 1000)[:, None] plt.plot(m.X, m.Y, 'kx') mu, var = m.predict_f(xtest) plt.plot(xtest, np.exp(mu), col) plt.plot(xtest, np.exp(mu + 2*np.sqrt(var)), col+'--') plt.plot(xtest, np.exp(mu - 2*np.sqrt(var)), col+'--') for k in [gpflow.kernels.Matern12, gpflow.kernels.Matern32]: m = VGP_1d(X, Y, np.arange(1000), a=-6, b=6, kern=k(1), likelihood=gpflow.likelihoods.Exponential()) m0 = gpflow.vgp.VGP(X, Y, kern=k(1), likelihood=gpflow.likelihoods.Exponential()) m.optimize() m0.optimize() plot(m, 'r') plot(m0, 'b') print(m) print(m0) class VGP_additive(gpflow.models.GPModel): def __init__(self, X, Y, ms, a, b, kerns, likelihood): """ Here we assume the interval is [a,b] """ assert a.size == b.size == len(kerns) == X.shape[1] for kern in kerns: assert isinstance(kern, (gpflow.kernels.Matern12, gpflow.kernels.Matern32, gpflow.kernels.Matern52)) mf = gpflow.mean_functions.Zero() gpflow.models.GPModel.__init__(self, X, Y, kern=None, likelihood=likelihood, mean_function=mf) self.num_latent = 1 # multiple columns not supported in this version self.a = a self.b = b self.ms = ms self.input_dim = X.shape[1] # initialize variational parameters Ms = [] for kern in kerns: Ncos_d = self.ms.size Nsin_d = self.ms.size - 1 if isinstance(kern, gpflow.kernels.Matern12): Ncos_d += 1 elif isinstance(kern, gpflow.kernels.Matern32): Ncos_d += 1 Nsin_d += 1 else: raise NotImplementedError Ms.append(Ncos_d + Nsin_d) self.kerns = gpflow.params.ParamList(kerns) self.q_mu = gpflow.params.Parameter(np.zeros((np.sum(Ms), 1))) pos = gpflow.transforms.positive self.q_sqrt = gpflow.params.ParamList([gpflow.params.Parameter(np.ones(M), pos) for M in Ms]) @name_scope('predict') @params_as_tensors def _build_predict(self, X, full_cov=False): # given self.q(v), compute q(f) Kuf = [make_Kuf(X[:, i:i+1], a, b, self.ms) for i, (a, b) in enumerate(zip(self.a, self.b))] Kuu = [make_Kuu(kern, a, b, self.ms) for kern, a, b, in zip(self.kerns, self.a, self.b)] KiKuf = [Kuu_d.solve(Kuf_d) for Kuu_d, Kuf_d in zip(Kuu, Kuf)] RKiKuf = [Kuu_d.matmul_sqrt(KiKuf_d) for Kuu_d, KiKuf_d in zip(Kuu, KiKuf)] KfuKiR = [tf.transpose(RKiKuf_d) for RKiKuf_d in RKiKuf] mu_d = [tf.matmul(KfuKiR_d, q_mu_d) for KfuKiR_d, q_mu_d in zip(KfuKiR, tf.split(0, self.input_dim, self.q_mu))] mu = reduce(lambda a, b: a+b, mu_d) tmp1 = [tf.expand_dims(q_sqrt_d, 1) * RKiKuf_d for q_sqrt_d, RKiKuf_d in zip(self.q_sqrt, RKiKuf)] if full_cov: raise NotImplementedError else: # Kff: var = reduce(tf.add, [kern.Kdiag(X[:, i:i+1]) for i, kern in enumerate(self.kerns)]) # Projected variance Kfu Ki [A + WWT] Ki Kuf var = var + reduce(tf.add, [tf.reduce_sum(tf.square(tmp1_d), 0) for tmp1_d in tmp1]) # Qff var = var - reduce(tf.add, [tf.reduce_sum(Kuf_d * KiKuf_d, 0) for Kuf_d, KiKuf_d in zip(Kuf, KiKuf)]) var = tf.reshape(var, (-1, 1)) return mu, var @name_scope('KL') @params_as_tensors def build_KL(self): """ We're working in a 'whitened' representation, so this is the KL between q(u) and N(0, 1) """ KL = 0.5*tf.reduce_sum(tf.square(self.q_mu)) # Mahalanobis term KL += -0.5*tf.cast(tf.size(self.q_mu), float_type) # Constant term. KL += -0.5*reduce(tf.add, [tf.reduce_sum(tf.log(tf.square(q_sqrt_d))) for q_sqrt_d in self.q_sqrt]) # Log det KL += 0.5*reduce(tf.add, [tf.reduce_sum(tf.square(q_sqrt_d)) for q_sqrt_d in self.q_sqrt]) # Trace term return KL @name_scope('likelihood') @params_as_tensors def _build_likelihood(self): # compute the mean and variance of the latent function f_mu, f_var = self.build_predict(self.X, full_cov=False) E_lik = self.likelihood.variational_expectations(f_mu, f_var, self.Y) return tf.reduce_sum(E_lik) - self.build_KL() class VGP_kron(gpflow.models.GPModel): def __init__(self, X, Y, ms, a, b, kerns, likelihood, use_two_krons=False, use_extra_ranks=0): """ Here we assume the interval is [a,b] """ assert a.size == b.size == len(kerns) == X.shape[1] for kern in kerns: assert isinstance(kern, (gpflow.kernels.Matern12, gpflow.kernels.Matern32, gpflow.kernels.Matern52)) mf = gpflow.mean_functions.Zero() gpflow.models.GPModel.__init__(self, X, Y, kern=None, likelihood=likelihood, mean_function=mf) self.num_latent = 1 # multiple columns not supported in this version self.a = a self.b = b self.ms = ms self.kerns = gpflow.params.ParamList(kerns) # initialize variational parameters self.Ms = [] for kern in kerns: Ncos_d = self.ms.size Nsin_d = self.ms.size - 1 self.Ms.append(Ncos_d + Nsin_d) self.q_mu = gpflow.params.Parameter(np.zeros((np.prod(self.Ms), 1))) # The covariance matrix self.q_sqrt_kron = gpflow.params.ParamList([gpflow.params.Parameter(np.eye(M)) for M in self.Ms]) self.use_two_krons = use_two_krons self.use_extra_ranks = use_extra_ranks assert not (use_extra_ranks and use_two_krons), "can only use one extra covariance structure at a time!" if use_two_krons: # same as above, but with different init to break symmetry self.q_sqrt_kron_2 = gpflow.params.ParamList([gpflow.params.Parameter(np.eye(M)+0.01) for M in self.Ms]) elif use_extra_ranks: self.q_sqrt_W = gpflow.params.Parameter(np.zeros((np.prod(self.Ms), use_extra_ranks))) # pre-compute Kuf self._Kuf = [make_Kuf_np(X[:, i:i+1], ai, bi, self.ms) for i, (ai, bi) in enumerate(zip(self.a, self.b))] def __getstate__(self): d = gpflow.models.Model.__getstate__(self) d.pop('_Kuf') return d def __setstate__(self, d): gpflow.models.Model.__setstate__(self, d) self._Kuf = [tf.constant(make_Kuf_np(self.X.value[:, i:i+1], ai, bi, self.ms)) for i, (ai, bi) in enumerate(zip(self.a, self.b))] @name_scope('predict') @params_as_tensors def _build_predict(self, X, full_cov=False): # given self.q(v), compute q(f) Kuf = [make_Kuf(k, X[:, i:i+1], a, b, self.ms) for i, (k, a, b) in enumerate(zip(self.kerns, self.a, self.b))] Kuu = [make_Kuu(kern, a, b, self.ms) for kern, a, b, in zip(self.kerns, self.a, self.b)] KiKuf = [Kuu_d.solve(Kuf_d) for Kuu_d, Kuf_d in zip(Kuu, Kuf)] KfuKi = [tf.transpose(mat) for mat in KiKuf] mu = kvs_dot_vec(KfuKi, self.q_mu) if full_cov: raise NotImplementedError else: # Kff: var = reduce(tf.multiply, [k.Kdiag(X[:, i:i+1]) for i, k in enumerate(self.kerns)]) # Projected variance Kfu Ki [WWT] Ki Kuf Ls = [tf.matrix_band_part(q_sqrt_d, -1, 0) for q_sqrt_d in self.q_sqrt_kron] tmp = [tf.matmul(tf.transpose(L), KiKuf_d) for L, KiKuf_d in zip(Ls, KiKuf)] var = var + reduce(tf.multiply, [tf.reduce_sum(tf.square(tmp_d), 0) for tmp_d in tmp]) if self.use_two_krons: Ls = [tf.matrix_band_part(q_sqrt_d, -1, 0) for q_sqrt_d in self.q_sqrt_kron_2] tmp = [tf.matmul(tf.transpose(L), KiKuf_d) for L, KiKuf_d in zip(Ls, KiKuf)] var = var + reduce(tf.multiply, [tf.reduce_sum(tf.square(tmp_d), 0) for tmp_d in tmp]) elif self.use_extra_ranks: for i in range(self.use_extra_ranks): tmp = kvs_dot_vec(KfuKi, self.q_sqrt_W[:, i:i+1]) var = var + tf.reduce_sum(tf.square(tmp), 1) # Qff var = var - reduce(tf.multiply, [tf.reduce_sum(Kuf_d * KiKuf_d, 0) for Kuf_d, KiKuf_d in zip(Kuf, KiKuf)]) var = tf.reshape(var, (-1, 1)) return mu, var @name_scope('predict_train') @params_as_tensors def _build_predict_train(self): Kuf = self._Kuf Kuu = [make_Kuu(kern, a, b, self.ms) for kern, a, b, in zip(self.kerns, self.a, self.b)] KiKuf = [Kuu_d.solve(Kuf_d) for Kuu_d, Kuf_d in zip(Kuu, Kuf)] KfuKi = [tf.transpose(mat) for mat in KiKuf] mu = kvs_dot_vec(KfuKi, self.q_mu) # Kff: var = reduce(tf.multiply, [k.Kdiag(self.X[:, i:i+1]) for i, k in enumerate(self.kerns)]) # Projected variance Kfu Ki [WWT] Ki Kuf Ls = [tf.matrix_band_part(q_sqrt_d, -1, 0) for q_sqrt_d in self.q_sqrt_kron] tmp = [tf.matmul(tf.transpose(L), KiKuf_d) for L, KiKuf_d in zip(Ls, KiKuf)] var = var + reduce(tf.multiply, [tf.reduce_sum(tf.square(tmp_d), 0) for tmp_d in tmp]) if self.use_two_krons: Ls = [tf.matrix_band_part(q_sqrt_d, -1, 0) for q_sqrt_d in self.q_sqrt_kron_2] tmp = [tf.matmul(tf.transpose(L), KiKuf_d) for L, KiKuf_d in zip(Ls, KiKuf)] var = var + reduce(tf.multiply, [tf.reduce_sum(tf.square(tmp_d), 0) for tmp_d in tmp]) elif self.use_extra_ranks: for i in range(self.use_extra_ranks): tmp = kvs_dot_vec(KfuKi, self.q_sqrt_W[:, i:i+1]) var = var + tf.reduce_sum(tf.square(tmp), 1) # Qff var = var - reduce(tf.multiply, [tf.reduce_sum(Kuf_d * KiKuf_d, 0) for Kuf_d, KiKuf_d in zip(Kuf, KiKuf)]) return mu, tf.reshape(var, [-1, 1]) #@gpflow.model.AutoFlow() def compute_KL(self): return self.build_KL() #@name_scope('KL') #@params_as_tensors def build_KL(self): """ The covariance of q(u) has a kronecker structure, so appropriate reductions apply for the trace and logdet terms. """ # Mahalanobis term, m^T K^{-1} m Kuu = [make_Kuu(kern, a, b, self.ms) for kern, a, b, in zip(self.kerns, self.a, self.b)] Kim = kron_vec_apply(Kuu, self.q_mu, 'solve') KL = 0.5*tf.reduce_sum(self.q_mu * Kim) # Constant term KL += -0.5*tf.cast(tf.size(self.q_mu), float_type) # Log det term Ls = [tf.matrix_band_part(q_sqrt_d, -1, 0) for q_sqrt_d in self.q_sqrt_kron] N_others = [float(np.prod(self.Ms)) / M for M in self.Ms] Q_logdets = [tf.reduce_sum(tf.log(tf.square(tf.diag_part(L)))) for L in Ls] KL += -0.5 * reduce(tf.add, [N*logdet for N, logdet in zip(N_others, Q_logdets)]) # trace term tr(K^{-1} Sigma_q) Ss = [tf.matmul(L, tf.transpose(L)) for L in Ls] traces = [K.trace_KiX(S) for K, S, in zip(Kuu, Ss)] KL += 0.5 * reduce(tf.multiply, traces) # kron-trace is the produce of traces # log det term Kuu Kuu_logdets = [K.logdet() for K in Kuu] KL += 0.5 * reduce(tf.add, [N*logdet for N, logdet in zip(N_others, Kuu_logdets)]) if self.use_two_krons: # extra logdet terms: Ls_2 = [tf.matrix_band_part(q_sqrt_d, -1, 0) for q_sqrt_d in self.q_sqrt_kron_2] LiL = [tf.matrix_triangular_solve(L1, L2) for L1, L2 in zip(Ls, Ls_2)] eigvals = [tf.self_adjoint_eig(tf.matmul(tf.transpose(mat), mat))[0] for mat in LiL] # discard eigenvectors eigvals_kronned = kron([tf.reshape(e, [1, -1]) for e in eigvals]) KL += -0.5 * tf.reduce_sum(tf.log(1 + eigvals_kronned)) # extra trace terms Ss = [tf.matmul(L, tf.transpose(L)) for L in Ls_2] traces = [K.trace_KiX(S) for K, S, in zip(Kuu, Ss)] KL += 0.5 * reduce(tf.multiply, traces) # kron-trace is the produce of traces elif self.use_extra_ranks: # extra logdet terms KiW = kron_mat_apply(Kuu, self.q_sqrt_W, 'solve', self.use_extra_ranks) WTKiW = tf.matmul(tf.transpose(self.q_sqrt_W), KiW) L_extra = tf.cholesky(np.eye(self.use_extra_ranks) + WTKiW) KL += -0.5 * tf.reduce_sum(tf.log(tf.square(tf.diag_part(L_extra)))) # extra trace terms KL += 0.5 * tf.reduce_sum(tf.diag_part(WTKiW)) return KL @name_scope('likelihood') @params_as_tensors def _build_likelihood(self): # compute the mean and variance of the latent function f_mu, f_var = self._build_predict_train() E_lik = self.likelihood.variational_expectations(f_mu, f_var, self.Y) return tf.reduce_sum(E_lik) - self.build_KL() class VGP_kron_anyvar(gpflow.models.GPModel): def __init__(self, X, Y, ms, a, b, kerns, likelihood): """ Here we assume the interval is [a,b] We do *not* assume that the variance of q(u) has a kronecker structure. This can get very computationally heavy very quickly, use with caution!. """ assert a.size == b.size == len(kerns) == X.shape[1] for kern in kerns: assert isinstance(kern, (gpflow.kernels.Matern12, gpflow.kernels.Matern32, gpflow.kernels.Matern52)) mf = gpflow.mean_functions.Zero() gpflow.models.GPModel.__init__(self, X, Y, kern=None, likelihood=likelihood, mean_function=mf) self.num_latent = 1 # multiple columns not supported in this version self.a = a self.b = b self.ms = ms # initialize variational parameters Ms = [] for kern in kerns: Ncos_d = self.ms.size Nsin_d = self.ms.size - 1 Ms.append(Ncos_d + Nsin_d) self.Ms = Ms self.kerns = gpflow.params.ParamList(kerns) self.q_mu = gpflow.params.Parameter(np.zeros((np.prod(Ms), 1))) # The covariance matrix gets very big very quickly self.q_sqrt = gpflow.params.Parameter(np.eye(np.prod(Ms))) # pre-compute the Kuf matrices self._Kuf = [tf.constant(make_Kuf_np(X[:, i:i+1], ai, bi, self.ms)) for i, (ai, bi) in enumerate(zip(self.a, self.b))] def __getstate__(self): d = gpflow.models.Model.__getstate__(self) d.pop('_Kuf') return d def __setstate__(self, d): gpflow.models.Model.__setstate__(self, d) self._Kuf = [tf.constant(make_Kuf_np(self.X.value[:, i:i+1], ai, bi, self.ms)) for i, (ai, bi) in enumerate(zip(self.a, self.b))] @name_scope('predict') @params_as_tensors def _build_predict(self, X, full_cov=False): # given self.q(v), compute q(f) Kuf = [make_Kuf(k, X[:, i:i+1], a, b, self.ms) for i, (k, a, b) in enumerate(zip(self.kerns, self.a, self.b))] Kuu = [make_Kuu(kern, a, b, self.ms) for kern, a, b, in zip(self.kerns, self.a, self.b)] KiKuf = [Kuu_d.solve(Kuf_d) for Kuu_d, Kuf_d in zip(Kuu, Kuf)] KfuKi = [tf.transpose(mat) for mat in KiKuf] mu = kvs_dot_vec(KfuKi, self.q_mu) L = tf.matrix_band_part(self.q_sqrt, -1, 0) tmp1 = kvs_dot_mat(KfuKi, L, np.prod(self.Ms)) if full_cov: raise NotImplementedError else: # Kff: var = reduce(tf.multiply, [k.Kdiag(X[:, i:i+1]) for i, k in enumerate(self.kerns)]) # Projected variance Kfu Ki [WWT] Ki Kuf # var = var + reduce(tf.multiply, [tf.reduce_sum(tf.square(tmp1_d), 0) for tmp1_d in tmp1]) var = var + tf.reduce_sum(tf.square(tmp1), 1) # Qff var = var - reduce(tf.multiply, [tf.reduce_sum(Kuf_d * KiKuf_d, 0) for Kuf_d, KiKuf_d in zip(Kuf, KiKuf)]) var = tf.reshape(var, (-1, 1)) return mu, var @name_scope('predict_train') @params_as_tensors def _build_predict_train(self): Kuf = self._Kuf Kuu = [make_Kuu(kern, a, b, self.ms) for kern, a, b, in zip(self.kerns, self.a, self.b)] KiKuf = [Kuu_d.solve(Kuf_d) for Kuu_d, Kuf_d in zip(Kuu, Kuf)] KfuKi = [tf.transpose(mat) for mat in KiKuf] mu = kvs_dot_vec(KfuKi, self.q_mu) L = tf.matrix_band_part(self.q_sqrt, -1, 0) tmp1 = kvs_dot_mat(KfuKi, L, num_cols=np.prod(self.Ms)) # Kff: var = reduce(tf.multiply, [k.Kdiag(self.X[:, i:i+1]) for i, k in enumerate(self.kerns)]) # Projected variance Kfu Ki [WWT] Ki Kuf # var = var + reduce(tf.multiply, [tf.reduce_sum(tf.square(tmp1_d), 0) for tmp1_d in tmp1]) var = var + tf.reduce_sum(tf.square(tmp1), 1) # Qff var = var - reduce(tf.multiply, [tf.reduce_sum(Kuf_d * KiKuf_d, 0) for Kuf_d, KiKuf_d in zip(Kuf, KiKuf)]) var = tf.reshape(var, (-1, 1)) return mu, var #@gpflow.model.AutoFlow() def compute_KL(self): return self.build_KL() @name_scope('KL') @params_as_tensors def build_KL(self): """ The covariance of q(u) has a kronecker structure, so appropriate reductions apply for the trace and logdet terms. """ Kuu = [make_Kuu(kern, a, b, self.ms) for kern, a, b, in zip(self.kerns, self.a, self.b)] Kim = kron_vec_apply(Kuu, self.q_mu, 'solve') KL = 0.5*tf.reduce_sum(self.q_mu * Kim) # Mahalanobis term KL += -0.5*tf.cast(tf.size(self.q_mu), float_type) # Constant term. L = tf.matrix_band_part(self.q_sqrt, -1, 0) Q_logdet = tf.reduce_sum(tf.log(tf.square(tf.diag_part(L)))) KL += -0.5 * Q_logdet # log determinat Sigma_q S = tf.matmul(L, tf.transpose(L)) KL += 0.5 * tf.reduce_sum(tf.diag_part(kron_mat_apply(Kuu, S, 'solve', np.prod(self.Ms)))) Kuu_logdets = [K.logdet() for K in Kuu] N_others = [tf.cast(tf.size(self.q_mu) / M, float_type) for M in self.Ms] KL += 0.5 * reduce(tf.add, [N*logdet for N, logdet in zip(N_others, Kuu_logdets)]) # kron-logdet P return KL @name_scope('likelihood') @params_as_tensors def _build_likelihood(self): # compute the mean and variance of the latent function f_mu, f_var = self._build_predict_train() E_lik = self.likelihood.variational_expectations(f_mu, f_var, self.Y) return tf.reduce_sum(E_lik) - self.build_KL()

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503fb81affa4d8a0ff5ecab9d179c0e6031a48c4

593

py

Python

aoc_2018/day_2/python/test_day2_puzzle2.py

girip11/advent_of_code

b58f9a53d219bb3bef284af6b0ca59d2addd57bb

[ "MIT" ]

null

aoc_2018/day_2/python/test_day2_puzzle2.py

girip11/advent_of_code

b58f9a53d219bb3bef284af6b0ca59d2addd57bb

[ "MIT" ]

1

2021-09-29T04:20:48.000Z

aoc_2018/day_2/python/test_day2_puzzle2.py

girip11/advent_of_code

b58f9a53d219bb3bef284af6b0ca59d2addd57bb

[ "MIT" ]

null

from typing import List from aoc_2018.day_2.python.day2_puzzle2 import find_common_letters from aoc_2018.day_2.python.test_day2_puzzle1 import get_input def test_find_common_letters_simple() -> None: assert find_common_letters(get_input("puzzle2_simple_input.txt")) == "fgij" def test_find_common_letters_corner_case() -> None: input_words: List[str] = ["abcdef", "abckeh", "abcyef"] assert find_common_letters(input_words) == "abcef" def test_find_common_letters_large() -> None: assert find_common_letters(get_input("puzzle_input.txt")) == "pebjqsalrdnckzfihvtxysomg"

32.944444

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0.784148

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593

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93

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null

0

1

0

1

0

4

5055627b181357ab311d1650e0cac2e62dfe38c6

62

py

Python

social_auth/backends/yahoo.py

merutak/django-social-auth

3a6e4414da0e969fcaf625a891852a3b2d7627c0

[ "BSD-2-Clause", "BSD-3-Clause" ]

863

2015-01-01T00:42:07.000Z

2022-03-30T02:47:18.000Z

social_auth/backends/yahoo.py

merutak/django-social-auth

3a6e4414da0e969fcaf625a891852a3b2d7627c0

[ "BSD-2-Clause", "BSD-3-Clause" ]

101

2015-01-08T00:28:16.000Z

2022-03-07T03:11:19.000Z

social_auth/backends/yahoo.py

merutak/django-social-auth

3a6e4414da0e969fcaf625a891852a3b2d7627c0

[ "BSD-2-Clause", "BSD-3-Clause" ]

256

2015-01-02T16:55:36.000Z

2022-03-04T11:10:47.000Z

from social.backends.yahoo import YahooOpenId as YahooBackend

31

61

0.870968

8

62

6.75

1

0

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62

1

62

0.964286

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0

1

0

null

0

1

0

1

0

4

5060493ca6dad06296953238f40e0b94a3c00073

163

py

Python

seahub/invitations/signals.py

weimens/seahub

5ecf78ed7a2ddc72a23961804ee41be21c24893f

[ "Apache-2.0" ]

420

2015-01-03T11:34:46.000Z

2022-03-10T07:15:41.000Z

seahub/invitations/signals.py

weimens/seahub

5ecf78ed7a2ddc72a23961804ee41be21c24893f

[ "Apache-2.0" ]

735

2015-01-04T21:22:51.000Z

2022-03-31T09:26:07.000Z

seahub/invitations/signals.py

weimens/seahub

5ecf78ed7a2ddc72a23961804ee41be21c24893f

[ "Apache-2.0" ]

379

2015-01-05T17:08:03.000Z

2022-03-06T00:11:50.000Z

27.166667

60

0.797546

20

163

6.25

0.85

0.224

0

0.054795

0.104294

163

5

61

32.6

0.80137

0.220859

0

0.112

0

1

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0

0.333333

0

0.333333

0

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0

null

1

0

1

0

null

0

1

0

4

aca80b2e648b80433cf3e7edb850197617de99c0

99

py

Python

especifico/decorators/__init__.py

athenianco/especifico

af8b97868390ba23a2c5e3e8506bd5215ee0084a

[ "Apache-2.0" ]

null

especifico/decorators/__init__.py

athenianco/especifico

af8b97868390ba23a2c5e3e8506bd5215ee0084a

[ "Apache-2.0" ]

null

especifico/decorators/__init__.py

athenianco/especifico

af8b97868390ba23a2c5e3e8506bd5215ee0084a

[ "Apache-2.0" ]

null

""" This module defines decorators which Especifico uses to wrap user provided view functions. """

24.75

90

0.777778

13

99

5.923077

1

0

0.151515

99

3

91

33

0.916667

0.909091

0

null

0

null

0

null

0

null

1

null

true

0

null

1

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0

1

0

1

0

null

0

1

0

4

acb71b07311e7d1eb30a0c359e2f1415b89d5b7e

153

py

Python

aio_parallel_tools/aio_actor/mixins/id_mixin.py

Python-Tools/aio_parallel_tools

23589c3ffce6de2748c1c90bd0dae2c414995a65

[ "MIT" ]

null

aio_parallel_tools/aio_actor/mixins/id_mixin.py

Python-Tools/aio_parallel_tools

23589c3ffce6de2748c1c90bd0dae2c414995a65

[ "MIT" ]

1

2021-12-13T20:26:32.000Z

aio_parallel_tools/aio_actor/mixins/id_mixin.py

Python-Tools/aio_parallel_tools

23589c3ffce6de2748c1c90bd0dae2c414995a65

[ "MIT" ]

null

import uuid class IdentifyMixin: def __init__(self): self._id = str(uuid.uuid4()) @property def aid(self): return self._id

15.3

36

0.607843

19

153

4.578947

0.684211

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0

0.009174

0.287582

153

10

37

15.3

0.788991

0

1

0.285714

false

0

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0

1

0

null

0

null

0

1

0

1

0

4

acd3555f9e50897ac14be490d1e24c32770cd1d3

98

py

Python

src/failures/none.py

mor1/reckon

7b40ba79f90b5767430c0b8d90e6ea0c5b2a461b

[ "MIT" ]

8

2021-03-30T12:28:33.000Z

2022-02-08T06:36:14.000Z

src/failures/none.py

mor1/reckon

7b40ba79f90b5767430c0b8d90e6ea0c5b2a461b

[ "MIT" ]

1

2021-04-12T16:18:00.000Z

src/failures/none.py

mor1/reckon

7b40ba79f90b5767430c0b8d90e6ea0c5b2a461b

[ "MIT" ]

1

2021-03-29T21:38:19.000Z

class NoFailure: def get_failures(self, net, system, restarters, stoppers): return []

24.5

62

0.673469

11

98

5.909091

1

0

0.22449

98

3

63

32.666667

0.855263

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0.333333

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0

0.333333

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null

0

1

0

1

0

4

acdbb31a34e5d27805f738d149fb5e9f96758f1a

97

py

Python

desktop/core/ext-py/future-0.16.0/src/__init__.py

kokosing/hue

2307f5379a35aae9be871e836432e6f45138b3d9

[ "Apache-2.0" ]

908

2015-01-01T21:20:45.000Z

2022-03-29T20:47:16.000Z

desktop/core/ext-py/future-0.16.0/src/__init__.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

402

2015-01-04T01:30:19.000Z

2022-03-24T11:56:38.000Z

desktop/core/ext-py/future-0.16.0/src/__init__.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

305

2015-01-18T19:29:37.000Z

2022-03-24T09:40:09.000Z

# Make this a package only for the sake of importing # src.future.__version__ etc. from setup.py

32.333333

52

0.773196

17

97

4.176471

1

0

0.164948

97

2

53

48.5

0.876543

0.948454

0

null

0

null

0

null

0

null

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null

true

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null

1

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null

0

1

0

1

0

null

0

1

0

4

ace12a11d06d7bf3bc83bbc8c5d297a16e6b53aa

193

py

Python

example_native/vistanlp_core/setup.py

berquist/namespace_package_testing

a570bc94f3bc6b773e06afc18d9e19917b978b95

[ "MIT" ]

null

example_native/vistanlp_core/setup.py

berquist/namespace_package_testing

a570bc94f3bc6b773e06afc18d9e19917b978b95

[ "MIT" ]

null

example_native/vistanlp_core/setup.py

berquist/namespace_package_testing

a570bc94f3bc6b773e06afc18d9e19917b978b95

[ "MIT" ]

null

from setuptools import setup, find_namespace_packages setup( name="vistanlp-core", # Not necessary anymore? # packages=["vistanlp.core"], packages=find_namespace_packages(), )

21.444444

53

0.720207

21

193

6.428571

0.619048

0.192593

0.311111

0

0.165803

193

8

54

24.125

0.838509

0.259067

0

0.092857

0

1

0

true

0

0.2

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0.2

0

1

0

null

0

1

0

1

0

null

0

1

0

4

681293bde7dd1546eab78ceafb2fcb55d420b25e

353

py

Python

Lib/test/bugs/pr112.py

jimmyyu2004/jython

5b4dc2d54d01a6fda8c55d07b2608167e7a40769

[ "CNRI-Jython" ]

332

2015-08-22T12:43:56.000Z

2022-03-17T01:05:43.000Z

Lib/test/bugs/pr112.py

Pandinosaurus/jython3

def4f8ec47cb7a9c799ea4c745f12badf92c5769

[ "CNRI-Jython" ]

36

2015-05-30T08:39:19.000Z

2022-03-04T20:42:33.000Z

Lib/test/bugs/pr112.py

Pandinosaurus/jython3

def4f8ec47cb7a9c799ea4c745f12badf92c5769

[ "CNRI-Jython" ]

74

2015-05-29T17:18:53.000Z

2022-01-15T14:06:44.000Z

# test for PR#112 -- functions should not have __module__ attributes def f(): pass if hasattr(f, '__module__'): print('functions should not have __module__ attributes') # but make sure classes still do have __module__ attributes class F: pass if not hasattr(F, '__module__'): print('classes should still have __module__ attributes')

23.533333

68

0.730878

48

353

4.875

0.479167

0.17094

0.34188

0.188034

0.324786

0

0.010453

0.186969

353

14

69

25.214286

0.804878

0.348442

0

0.25

0

0.504425

0

1

0.125

true

0.25

0

0.25

0

null

0

1

0

null

0

1

0

4

a861b1a533e5059d8d08887134874b6329e4f576

200

py

Python

tests/admin.py

Apkawa/django-modeltranslation-rosetta

568354ceee201f891e1f9f6d1f5987dbdfa8f84a

[ "MIT" ]

null

tests/admin.py

Apkawa/django-modeltranslation-rosetta

568354ceee201f891e1f9f6d1f5987dbdfa8f84a

[ "MIT" ]

14

2020-01-06T16:18:37.000Z

2022-01-20T19:40:56.000Z

tests/admin.py

Apkawa/django-modeltranslation-rosetta

568354ceee201f891e1f9f6d1f5987dbdfa8f84a

[ "MIT" ]

null

# coding=utf-8 from __future__ import unicode_literals from django.contrib import admin from .models import ( Article ) @admin.register(Article) class ArticleAdmin(admin.ModelAdmin): pass

14.285714

39

0.765

25

200

5.92

0.72

0

0.005952

0.16

200

13

40

15.384615

0.875

0.06

0

1

0

true

0.125

0.375

0

0.5

0

1

0

null

0

null

0

1

0

4

a86df88cbd7542d2496b38ce2ba89742644a2960

192

py

Python

1_PythonDataProcessing/0_06_readcsv_exclude.py

hnwarid/DQLabAcademy

e03d82f97536ae103b6abc65db0ae16520fb68c7

[ "MIT" ]

null

1_PythonDataProcessing/0_06_readcsv_exclude.py

hnwarid/DQLabAcademy

e03d82f97536ae103b6abc65db0ae16520fb68c7

[ "MIT" ]

null

1_PythonDataProcessing/0_06_readcsv_exclude.py

hnwarid/DQLabAcademy

e03d82f97536ae103b6abc65db0ae16520fb68c7

[ "MIT" ]

null

import pandas as pd csv_data = pd.read_csv("https//:storage.googleapis.com/dqlab-dataset/shopping_data.csv") # print(csv_data.describe(include='all')) print(csv_data.describe(exclude=['O']))

32

88

0.765625

30

192

4.733333

0.666667

0.147887

0.169014

0.28169

0

0.057292

192

6

89

32

0.78453

0.203125

0

0.414474

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0

1

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false

0

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null

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1

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1

0

1

null

0

1

0

4

a878449bf9c1d7b1f9220ef3a12f292c7a281095

133

py

Python

tests/apps/namespace_package_base/nsapp/apps.py

imjvdn/scratch-game-1

5dffd79f17e0b66d3d2e57262749311aca28e850

[ "PSF-2.0", "BSD-3-Clause" ]

19

2015-07-07T02:08:59.000Z

2021-11-08T11:05:40.000Z

tests/apps/namespace_package_base/nsapp/apps.py

imjvdn/scratch-game-1

5dffd79f17e0b66d3d2e57262749311aca28e850

[ "PSF-2.0", "BSD-3-Clause" ]

57

2018-10-08T12:37:30.000Z

2018-10-08T17:39:26.000Z

tests/apps/namespace_package_base/nsapp/apps.py

imjvdn/scratch-game-1

5dffd79f17e0b66d3d2e57262749311aca28e850

[ "PSF-2.0", "BSD-3-Clause" ]

145

2019-03-14T18:54:45.000Z

2022-03-04T20:25:31.000Z

import os from django.apps import AppConfig class NSAppConfig(AppConfig): name = 'nsapp' path = os.path.dirname(__file__)

14.777778

36

0.721805

17

133

5.411765

0.764706

0

0.18797

133

8

37

16.625

0.851852

0

0.037594

0

1

0

false

0

0.4

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null

0

1

0

null

0

1

0

1

0

4

a8a79d677362e681a32ea220db3883d4e7806c71

972

py

Python

fuzzystring/fuzzystring.py

alehpineda/python_morsels

bdcb1c90ec40403f107e7197e0b31b73c54ea818

[ "MIT" ]

null

fuzzystring/fuzzystring.py

alehpineda/python_morsels

bdcb1c90ec40403f107e7197e0b31b73c54ea818

[ "MIT" ]

1

2020-09-24T11:25:45.000Z

2020-09-28T11:21:30.000Z

fuzzystring/fuzzystring.py

alehpineda/python_morsels

bdcb1c90ec40403f107e7197e0b31b73c54ea818

[ "MIT" ]

null

import unicodedata class FuzzyString(object): def __init__(self, text): self.text = text def __eq__(self, other): return self._normalize(self.text) == self._normalize(other) def __lt__(self, other): return self._normalize(self.text) < self._normalize(other) def __gt__(self, other): return self._normalize(self.text) > self._normalize(other) def __le__(self, other): return self._normalize(self.text) <= self._normalize(other) def __ge__(self, other): return self._normalize(self.text) >= self._normalize(other) def __add__(self, other): return FuzzyString(self.text + other) def __contains__(self, other): return self._normalize(other) in self._normalize(self.text) def _normalize(self, text): return unicodedata.normalize("NFKD", text.casefold()) def __repr__(self): return repr(self.text) def __str__(self): return self.text

26.27027

67

0.659465

117

972

5.025641

0.205128

0.163265

0.178571

0.193878

0.532313

0.484694

0

0.223251

972

36

68

27

0.778808

0

0.004115

0

1

0.458333

false

0

0.041667

0.416667

0.958333

0

null

0

1

0

null

0

1

0

1

0

4

a8abbf5ac38cce81197377a0a35910f7e1ed9187

245

py

Python

tuiuiu/contrib/experiments/apps.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

3

2019-08-08T09:09:35.000Z

2020-12-15T18:04:17.000Z

tuiuiu/contrib/experiments/apps.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

null

tuiuiu/contrib/experiments/apps.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

1

2017-09-09T20:10:40.000Z

from __future__ import absolute_import, unicode_literals from django.apps import AppConfig class TuiuiuExperimentsAppConfig(AppConfig): name = 'tuiuiu.contrib.experiments' label = 'experiments' verbose_name = "Tuiuiu Experiments"

24.5

56

0.787755

25

245

7.44

0.68

0.107527

0

0.146939

245

9

57

27.222222

0.889952

0

0.22449

0.106122

0

1

0

false

0

0.333333

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

a8c4af889042902edd6a87e200612cdb3ce864b1

176

py

Python

Emmanuel ANENE/Phase 1/Python Basic 1/Day6/task9.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

Emmanuel ANENE/Phase 1/Python Basic 1/Day6/task9.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

Emmanuel ANENE/Phase 1/Python Basic 1/Day6/task9.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

''' Write a Python program to list all files in a directory in Python. ''' import os print("The list of file(s) in the current directory is/are: ", os.listdir(), sep="\n\n")

25.142857

88

0.681818

32

176

3.75

0.71875

0

0.176136

176

7

88

25.142857

0.827586

0.375

0

0.553398

0

1

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true

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0.5

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null

0

1

0

1

0

1

0

4

7641544f4509f52242145bcdb6e3cacc715f0c0b

1,028

py

Python

tests/test_time_formatting.py

smiszym/manokee

afb63b8ce5ba3f83bb924965b8d5098a6d28c474

[ "MIT" ]

null

tests/test_time_formatting.py

smiszym/manokee

afb63b8ce5ba3f83bb924965b8d5098a6d28c474

[ "MIT" ]

14

2021-03-11T02:05:20.000Z

2022-03-12T01:05:11.000Z

tests/test_time_formatting.py

smiszym/manokee

afb63b8ce5ba3f83bb924965b8d5098a6d28c474

[ "MIT" ]

null

import amio from manokee.time_formatting import format_frame, parse_frame def test_format_frame(): interface = amio.create_io_interface("dummy", frame_rate=48000) assert format_frame(interface, 0) == "0:00.0" assert format_frame(interface, 48000) == "0:01.0" assert format_frame(interface, 96000) == "0:02.0" assert format_frame(interface, 72000) == "0:01.5" assert format_frame(interface, 2880000) == "1:00.0" assert format_frame(interface, 28800000) == "10:00.0" assert format_frame(interface, 288000000) == "100:00.0" def test_parse_frame(): interface = amio.create_io_interface("dummy", frame_rate=48000) assert parse_frame(interface, "0:00.0") == 0 assert parse_frame(interface, "0:01.0") == 48000 assert parse_frame(interface, "0:02.0") == 96000 assert parse_frame(interface, "0:01.5") == 72000 assert parse_frame(interface, "1:00.0") == 2880000 assert parse_frame(interface, "10:00.0") == 28800000 assert parse_frame(interface, "100:00.0") == 288000000

41.12

67

0.701362

149

1,028

4.657718

0.208054

0.322767

0.230548

0.262248

0.530259

0.45245

0.172911

0

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0.152724

1,028

24

68

42.833333

0.622273

0

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0.7

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false

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0.2

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null

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null

0

1

0

4

766fe43b5814eef79e3d297fbb5ef5a3f147380c

59

py

Python

tools/copyright.py

G-Ragghianti/blaspp

7650db32e9fc4c69bd10388c2dee8865cfcfa36f

[ "BSD-3-Clause" ]

null

tools/copyright.py

G-Ragghianti/blaspp

7650db32e9fc4c69bd10388c2dee8865cfcfa36f

[ "BSD-3-Clause" ]

null

tools/copyright.py

G-Ragghianti/blaspp

7650db32e9fc4c69bd10388c2dee8865cfcfa36f

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 import release release.copyright()

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0

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0

1

0

null

0

1

0

1

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4

7686e376868341bfd898a520f0251b2b1ba8a825

35

py

Python

ivy/functional/frontends/torch/core/other_ops.py

NIkhilbadveli/ivy

42dc66dd44417102cf0b72d4fc7aea2aaffa75bc

[ "Apache-2.0" ]

1

2022-02-28T03:20:54.000Z

ivy/functional/frontends/torch/core/other_ops.py

NIkhilbadveli/ivy

42dc66dd44417102cf0b72d4fc7aea2aaffa75bc

[ "Apache-2.0" ]

null

ivy/functional/frontends/torch/core/other_ops.py

NIkhilbadveli/ivy

42dc66dd44417102cf0b72d4fc7aea2aaffa75bc

[ "Apache-2.0" ]

null

""" PyTorch Other Ops Frontend """

8.75

26

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35

5.75

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27

11.666667

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0

null

0

null

0

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0

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null

0

1

0

null

0

1

0

4

76bcc10e0314d1ef11ac1cd7719cc81b0c4f60c4

52

py

Python

core/api/token.py

oddsome/poroshki

d30b7186ea104f12e5cacf057b8b3ca7c6167420

[ "MIT" ]

null

core/api/token.py

oddsome/poroshki

d30b7186ea104f12e5cacf057b8b3ca7c6167420

[ "MIT" ]

null

core/api/token.py

oddsome/poroshki

d30b7186ea104f12e5cacf057b8b3ca7c6167420

[ "MIT" ]

null

def url(token): return('access_token=' + token)

17.333333

35

0.653846

7

52

4.714286

0.714286

0

0.173077

52

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26

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0

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0

1

0

null

0

1

0

1

0

4

4f1fd88a094204d66c91b7bb8687f6fbe9dafcb3

736

py

Python

models/card.py

dbcheng/card-games

2f1feb4734b2aa50d997d4785b297adab5f6d9a3

[ "MIT" ]

null

models/card.py

dbcheng/card-games

2f1feb4734b2aa50d997d4785b297adab5f6d9a3

[ "MIT" ]

null

models/card.py

dbcheng/card-games

2f1feb4734b2aa50d997d4785b297adab5f6d9a3

[ "MIT" ]

null

class Card(object): """docstring for Card""" def __init__(self, rank, suit): self.rank = rank self.suit = suit def is_same_suit(self, card): return self.suit == card.suit def is_same_rank(self, card): return self.rank == card.rank def __str__(self): return str(self.rank) + " of " + str(self.suit) def __repr__(self): return str(self.rank) + " of " + str(self.suit) def __eq__(self, card): return self.suit == card.suit and self.rank == card.rank def __gt__(self, card): return self.rank > card.rank def __ge__(self, card): return self.rank >= card.rank def __lt__(self, card): return self.rank < card.rank def __lt__(self, card): return self.rank <= card.rank

22.30303

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736

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0.225287

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0.733333

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null

0

1

0

1

0

4

4f49c7615b5d7e0724d7771abe897d9f12154d7e

199

py

Python

src/py_dss_tools/secondary/__init__.py

eniovianna/py_dss_tools

3057fb0b74facd05a362e4e4a588f79f70aa9dd7

[ "MIT" ]

3

2021-05-29T00:40:10.000Z

2021-09-30T17:56:14.000Z

src/py_dss_tools/secondary/__init__.py

eniovianna/py_dss_tools

3057fb0b74facd05a362e4e4a588f79f70aa9dd7

[ "MIT" ]

null

src/py_dss_tools/secondary/__init__.py

eniovianna/py_dss_tools

3057fb0b74facd05a362e4e4a588f79f70aa9dd7

[ "MIT" ]

3

2021-05-29T00:40:46.000Z

2022-01-13T22:04:49.000Z

# -*- encoding: utf-8 -*- """ Created by Ênio Viana at 22/09/2021 at 23:01:40 Project: py_dss_tools [set, 2021] """ from .Bus import Bus from .Circuit import Circuit from .Scenario import Scenario

22.111111

48

0.703518

33

199

4.181818

0.727273

0

0.114458

0.165829

199

8

49

24.875

0.716867

0.532663

0

1

0

true

0

1

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1

0

null

0

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0

null

0

1

0

1

0

1

0

4

4f86b25eacaf8ee0d7206cd45fde68ac4b0a28ed

182

py

Python

cffi-api-mode-c-source/call_pi.py

TheBigFish/python-cffi

276ba0709d25f174d5f7e0d7950952c7667aa006

[ "MIT" ]

null

cffi-api-mode-c-source/call_pi.py

TheBigFish/python-cffi

276ba0709d25f174d5f7e0d7950952c7667aa006

[ "MIT" ]

null

cffi-api-mode-c-source/call_pi.py

TheBigFish/python-cffi

276ba0709d25f174d5f7e0d7950952c7667aa006

[ "MIT" ]

null

from _pi.lib import pi_approx approx = pi_approx(10) assert str(approx).startswith("3.") print(approx) approx = pi_approx(10000) assert str(approx).startswith("3.1") print(approx)

18.2

36

0.752747

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182

4.586207

0.448276

0.180451

0.210526

0.300752

0.390977

0

0.060976

0.098901

182

9

37

20.222222

0.75

0

0.285714

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0.027473

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0.285714

1

0

false

0

0.142857

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0.142857

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0

null

0

1

0

1

0

null

0

4

4f932b29ffc2e0f9d3a655ee83e18d67c99105b8

173

py

Python

p2/api/apps.py

BeryJu/p2

80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27

[ "MIT" ]

null

p2/api/apps.py

BeryJu/p2

80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27

[ "MIT" ]

null

p2/api/apps.py

BeryJu/p2

80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27

[ "MIT" ]

null

"""django API AppConfig""" from django.apps.config import AppConfig class P2APIConfig(AppConfig): """django API AppConfig""" name = 'p2.api' label = 'p2_api'

17.3

40

0.67052

21

173

5.47619

0.571429

0.156522

0.313043

0

0.021429

0.190751

173

9

41

19.222222

0.8

0.236994

0

0.099174

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1

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false

0

0.25

0

1

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1

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null

0

1

0

1

0

null

0

1

0

4

4f9849a22ccdf30004478f2b9cb21c2605e229ac

1,996

py

Python

flask-app/app.py

martapanc/docker-curriculum

c5387472ae00b3acf43f7e78bac0b6f3dc5ff012

[ "MIT" ]

null

flask-app/app.py

martapanc/docker-curriculum

c5387472ae00b3acf43f7e78bac0b6f3dc5ff012

[ "MIT" ]

1

2020-08-01T20:14:05.000Z

flask-app/app.py

martapanc/docker-curriculum

c5387472ae00b3acf43f7e78bac0b6f3dc5ff012

[ "MIT" ]

null

from flask import Flask, render_template import os import random app = Flask(__name__) # list of cat images images = [ "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F0.gif?alt=media&token=0fff4b31-b3d8-44fb-be39-723f040e57fb", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F1.gif?alt=media&token=2328c855-572f-4a10-af8c-23a6e1db574c", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F10.gif?alt=media&token=647fd422-c8d1-4879-af3e-fea695da79b2", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F11.gif?alt=media&token=900cce1f-55c0-4e02-80c6-ee587d1e9b6e", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F2.gif?alt=media&token=8a108bd4-8dfc-4dbc-9b8c-0db0e626f65b", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F3.gif?alt=media&token=4e270d85-0be3-4048-99bd-696ece8070ea", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F4.gif?alt=media&token=e7daf297-e615-4dfc-aa19-bee959204774", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F5.gif?alt=media&token=a8e472e6-94da-45f9-aab8-d51ec499e5ed", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F7.gif?alt=media&token=9e449089-9f94-4002-a92a-3e44c6bd18a9", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F8.gif?alt=media&token=80a48714-7aaa-45fa-a36b-a7653dc3292b", "https://firebasestorage.googleapis.com/v0/b/docker-curriculum.appspot.com/o/catnip%2F9.gif?alt=media&token=a57a1c71-a8af-4170-8fee-bfe11809f0b3", ] @app.route("/") def index(): url = random.choice(images) return render_template("index.html", url=url) if __name__ == "__main__": app.run(host="0.0.0.0", port=int(os.environ.get("PORT", 5005)))

64.387097

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1,996

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1,996

30

152

66.533333

0.677625

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0

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0.043478

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0

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0

null

0

1

0

1

0

null

0

4

96dadb8bbc42aec77caf0f7dacbe2396ee889fa6

279

py

Python

unet2d/model/__init__.py

vuhoangminh/medical-segmentation

4a2a663d1f2d6de5c78bc521f6ed2aa1681a8804

[ "MIT" ]

1

2018-12-06T09:17:26.000Z

unet2d/model/__init__.py

vuhoangminh/medical-segmentation

4a2a663d1f2d6de5c78bc521f6ed2aa1681a8804

[ "MIT" ]

null

unet2d/model/__init__.py

vuhoangminh/medical-segmentation

4a2a663d1f2d6de5c78bc521f6ed2aa1681a8804

[ "MIT" ]

2

2019-05-07T10:07:33.000Z

2019-05-20T12:50:37.000Z

from .unet_2d import unet_model_2d from .isensee2d import isensee2d_model from .proposed import casnet_v1, casnet_v2, casnet_v3, casnet_v4, casnet_v5, casnet_v6, casnet_v7, casnet_v8, casnet_v9, casnet_v10 from .proposed import sepnet_v1, sepnet_v2 from .segnet2d import segnet2d

55.8

131

0.842294

46

279

4.76087

0.434783

0.109589

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0

0.076

0.103943

279

5

132

55.8

0.8

0

1

0

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

96e70e299c223ce8286c48946706ef5dae9df0e6

237

py

Python

Leetcode/0179. Largest Number/0179.py

Next-Gen-UI/Code-Dynamics

a9b9d5e3f27e870b3e030c75a1060d88292de01c

[ "MIT" ]

null

Leetcode/0179. Largest Number/0179.py

Next-Gen-UI/Code-Dynamics

a9b9d5e3f27e870b3e030c75a1060d88292de01c

[ "MIT" ]

null

Leetcode/0179. Largest Number/0179.py

Next-Gen-UI/Code-Dynamics

a9b9d5e3f27e870b3e030c75a1060d88292de01c

[ "MIT" ]

null

class LargerStrKey(str): def __lt__(x: str, y: str) -> bool: return x + y > y + x class Solution: def largestNumber(self, nums: List[int]) -> str: return ''.join(sorted(map(str, nums), key=LargerStrKey)).lstrip('0') or '0'

26.333333

79

0.628692

36

237

4.027778

0.611111

0

0.010417

0.189873

237

8

80

29.625

0.744792

0

0.008439

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

96eeae571e654757dd06304af9a343cefb6a4ff0

51

py

Python

tests/test_basic.py

PadamSethia/peeps

4304d96997572972d3701dddabd86dbb2ba05060

[ "MIT" ]

2

2019-02-06T17:29:43.000Z

2019-04-20T09:34:36.000Z

tests/test_basic.py

highoncarbs/peep

4304d96997572972d3701dddabd86dbb2ba05060

[ "MIT" ]

10

2018-07-10T07:12:02.000Z

2018-09-14T07:55:00.000Z

tests/test_basic.py

PadamSethia/peep

4304d96997572972d3701dddabd86dbb2ba05060

[ "MIT" ]

null

from app import app , db import os import unittest

12.75

24

0.784314

9

51

4.444444

0.666667

0

0.196078

51

3

25

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0.97561

0

1

0

true

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

8c4b509d4e83a906842919960b0448ca55daf6ca

62

py

Python

albumy/forms/__init__.py

1243726062/albumy

5b882175dbcdbdb98fca6c1d96553ed5fa2dc192

[ "MIT" ]

null

albumy/forms/__init__.py

1243726062/albumy

5b882175dbcdbdb98fca6c1d96553ed5fa2dc192

[ "MIT" ]

6

2021-03-29T19:05:32.000Z

2022-03-11T23:56:53.000Z

albumy/forms/__init__.py

1243726062/albumy

5b882175dbcdbdb98fca6c1d96553ed5fa2dc192

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created by 亥虫 on 2019/5/12 """

15.5

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0.483871

10

62

3

1

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0.170213

0.241935

62

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31

15.5

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0

null

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true

0

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1

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1

0

null

0

1

0

4

8b210a4a48930ff67ffa75bbc38debc45294ab8f

147

py

Python

example/format-transfer/test-grd2igs.py

swayli94/cst-modeling

7b1cb681b82a484e842e0f77ee4d5b5f1b49e1e4

[ "MIT" ]

null

example/format-transfer/test-grd2igs.py

swayli94/cst-modeling

7b1cb681b82a484e842e0f77ee4d5b5f1b49e1e4

[ "MIT" ]

null

example/format-transfer/test-grd2igs.py

swayli94/cst-modeling

7b1cb681b82a484e842e0f77ee4d5b5f1b49e1e4

[ "MIT" ]

null

from cst_modeling.basic import plot3d_to_igs if __name__ == "__main__": #* Transfer text.grd to test.igs plot3d_to_igs(fname='test')

13.363636

44

0.707483

22

147

4.136364

0.727273

0.175824

0.241758

0

0.016807

0.190476

147

10

45

14.7

0.747899

0.210884

0

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0

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true

0

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0

1

0

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1

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null

0

1

0

1

0

4

8b21a4d5d3e8a93d5a59f621a6ef9c596ae6adb0

106

py

Python

tests/models.py

briefmnews/django-podle

124628449b839b8ae3b3e3e5d5c11397fddc960b

[ "MIT" ]

null

tests/models.py

briefmnews/django-podle

124628449b839b8ae3b3e3e5d5c11397fddc960b

[ "MIT" ]

1

2021-08-06T04:03:15.000Z

2021-12-19T19:14:05.000Z

tests/models.py

briefmnews/django-podle

124628449b839b8ae3b3e3e5d5c11397fddc960b

[ "MIT" ]

null

from django.db import models class DummyData(models.Model): data = models.CharField(max_length=256)

17.666667

43

0.764151

15

106

5.333333

0.866667

0

0.032967

0.141509

106

5

44

21.2

0.846154

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8b2d9c8ad3d45db089e6c08bb58daa7c29a4e09e

190

py

Python

web_scraper/server.py

shenoy-anurag/Aggre-Gator

35b044c67f4e1e4c07c47436b384e720cec050de

[ "MIT" ]

1

2022-03-21T01:38:24.000Z

web_scraper/server.py

shenoy-anurag/Aggre-Gator

35b044c67f4e1e4c07c47436b384e720cec050de

[ "MIT" ]

1

2022-03-25T04:40:40.000Z

2022-03-25T04:44:29.000Z

web_scraper/server.py

shenoy-anurag/Aggre-Gator

35b044c67f4e1e4c07c47436b384e720cec050de

[ "MIT" ]

null

from web_scraper import app, api from web_scraper.core.views import core_blueprint app.register_blueprint(core_blueprint) if __name__ == "__main__": app.run(host='0.0.0.0', port=5000)

23.75

49

0.768421

31

190

4.290323

0.580645

0.045113

0.210526

0

0.047619

0.115789

190

7

50

27.142857

0.744048

0

0.078947

0

1

0

true

0

0.4

0

0.4

0

null

0

1

0

1

0

null

0

1

0

1

0

4

8c99e06dc94ca2126ea4863c69c6245be2a0b1ae

79

py

Python

grpc_python_example/services/definitions/__init__.py

mdzhang/grpc-python-example

d360db39bb10c458ba0133b723108d636021f678

[ "MIT" ]

16

2017-01-10T14:50:08.000Z

2022-03-30T12:58:51.000Z

grpc_python_example/services/definitions/__init__.py

mr-aliraza/grpc-python-example

d360db39bb10c458ba0133b723108d636021f678

[ "MIT" ]

null

grpc_python_example/services/definitions/__init__.py

mr-aliraza/grpc-python-example

d360db39bb10c458ba0133b723108d636021f678

[ "MIT" ]

5

2017-07-19T03:40:55.000Z

2021-10-05T05:55:27.000Z

"""Defines grpc_python_example's service interfaces using protocol buffers."""

39.5

78

0.810127

10

79

6.2

1

0

0.088608

79

1

79

0.861111

0.911392

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

8cab56ab07884989c0dd8e2acf426ba1ff9c970d

81

py

Python

twitoff/__init__.py

murugis/RoseW-Twitoff

f3ed78867e7b2689e337c1bc0d9d851ee5f24a13

[ "MIT" ]

null

twitoff/__init__.py

murugis/RoseW-Twitoff

f3ed78867e7b2689e337c1bc0d9d851ee5f24a13

[ "MIT" ]

null

twitoff/__init__.py

murugis/RoseW-Twitoff

f3ed78867e7b2689e337c1bc0d9d851ee5f24a13

[ "MIT" ]

null

'''Entry point to twitoff app''' from .app import create_app APP = create_app()

16.2

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16.2

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1

0

1

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null

0

1

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4

508520f3a5d1ed7451df9c31b9fb82b72121a4ab

78

py

Python

pyhap_vesync/utils/wrapper/__init__.py

jslay88/pyhap_vesync

d9b6b782a7e4c77d59775bc625ca5929b55ad0dd

[ "MIT" ]

null

pyhap_vesync/utils/wrapper/__init__.py

jslay88/pyhap_vesync

d9b6b782a7e4c77d59775bc625ca5929b55ad0dd

[ "MIT" ]

3

2018-02-20T01:04:17.000Z

2020-08-06T08:07:42.000Z

pyhap_vesync/utils/wrapper/__init__.py

jslay88/pyhap_vesync

d9b6b782a7e4c77d59775bc625ca5929b55ad0dd

[ "MIT" ]

null

from .Outlet import Outlet from .API import API from .Bridge import Bridge

19.5

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78

3

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null

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null

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1

0

4

508bf4491406373a8dc4d649ab476d3375481777

754

py

Python

qiling/qiling/os/windows/dlls/mscoree.py

mrTavas/owasp-fstm-auto

6e9ff36e46d885701c7419db3eca15f12063a7f3

[ "CC0-1.0" ]

2

2021-05-05T12:03:01.000Z

2021-06-04T14:27:15.000Z

qiling/qiling/os/windows/dlls/mscoree.py

mrTavas/owasp-fstm-auto

6e9ff36e46d885701c7419db3eca15f12063a7f3

[ "CC0-1.0" ]

null

qiling/qiling/os/windows/dlls/mscoree.py

mrTavas/owasp-fstm-auto

6e9ff36e46d885701c7419db3eca15f12063a7f3

[ "CC0-1.0" ]

2

2021-05-05T12:03:09.000Z

2021-06-04T14:27:21.000Z

#!/usr/bin/env python3 # # Cross Platform and Multi Architecture Advanced Binary Emulation Framework # import struct import base64 from qiling.os.windows.fncc import * from qiling.os.const import * from qiling.os.windows.utils import * from qiling.os.windows.handle import * from qiling.os.windows.const import * dllname = 'mscoree_dll' # void STDMETHODCALLTYPE CorExitProcess ( # int exitCode # ); @winsdkapi(cc=STDCALL, dllname=dllname, replace_params_type={'int': 'DWORD'}) def hook_CorExitProcess(ql, address, params): ql.emu_stop() ql.os.PE_RUN = False # __int32 STDMETHODCALLTYPE _CorExeMain (); @winsdkapi(cc=STDCALL, dllname='crypt32_dll') def hook__CorExeMain(ql, address, params): # TODO implement + check call type pass

26

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754

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0.139257

754

28

78

26.928571

0.845917

0.303714

0

0.05814

0

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0

1

0.133333

false

0.066667

0.466667

0

0.6

0

null

0

null

0

1

0

1

0

1

0

4

50904c7e5b98114a78e54a2544c36e9cfb9e37e9

329

py

Python

tests/remotes/base.py

backwardn/dvc

83a2afc7b05e38014aca224ab85949b0974d9bec

[ "Apache-2.0" ]

null

tests/remotes/base.py

backwardn/dvc

83a2afc7b05e38014aca224ab85949b0974d9bec

[ "Apache-2.0" ]

null

tests/remotes/base.py

backwardn/dvc

83a2afc7b05e38014aca224ab85949b0974d9bec

[ "Apache-2.0" ]

null

from funcy import cached_property class Base: @staticmethod def should_test(): return True @staticmethod def get_url(): raise NotImplementedError @cached_property def url(self): return self.get_url() @cached_property def config(self): return {"url": self.url}

16.45

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329

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0.169154

0

0.291793

329

19

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false

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