Split (1)

train · 253k rows

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6dec948a6fe6c2e2c800839b880bad85b5a6dfd3	96	py	Python	venv/lib/python3.8/site-packages/cryptography/hazmat/primitives/asymmetric/ed448.py	Retraces/UkraineBot	3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/cryptography/hazmat/primitives/asymmetric/ed448.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/cryptography/hazmat/primitives/asymmetric/ed448.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/a1/1f/a3/e2319c5949c6c568b51b2807c5565b82448e287b11eb2d44dcb7fac183	96	96	0.895833	9	96	9.555556	1	0	0	0	0	0	0	0	0	0	0.4375	0	96	1	96	96	0.458333	0	0	0	0	0	0	0	1	0	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0	0	0	0	null	1	1	0	0	0	0	0	0	0	6
096fcd42c6d9f08d5d089e2c6170449d67a02488	4,290	py	Python	deprecated/examples/simnet_bow/py_reader_generator.py	hutuxian/FleetX	843c7aa33f5a14680becf058a3aaf0327eefafd4	[ "Apache-2.0" ]	170	2020-08-12T12:07:01.000Z	2022-03-07T02:38:26.000Z	deprecated/examples/simnet_bow/py_reader_generator.py	hutuxian/FleetX	843c7aa33f5a14680becf058a3aaf0327eefafd4	[ "Apache-2.0" ]	195	2020-08-13T03:22:15.000Z	2022-03-30T07:40:25.000Z	deprecated/examples/simnet_bow/py_reader_generator.py	hutuxian/FleetX	843c7aa33f5a14680becf058a3aaf0327eefafd4	[ "Apache-2.0" ]	67	2020-08-14T02:07:46.000Z	2022-03-28T10:05:33.000Z	#!/usr/bin/python # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. # # 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...	39	109	0.545221	584	4,290	3.773973	0.22774	0.076225	0.059891	0.050817	0.715517	0.715517	0.715517	0.705535	0.705535	0.703267	0.018895	0.346154	4,290	109	110	39.357798	0.766845	0.15338	0.837838	0	0	0.060364	0	0	0	0	0	0	1	0.094595	false	0	0.013514	0	0.148649	0.054054	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
09992545064487f403e07c0d5592b982f3bafe39	212	py	Python	projetos/admin.py	siqueiralex/SistemaComissaoVoluntario	1a4ba8fd37d5182156e7bb4c4204845df2707fd1	[ "MIT" ]	null	null	null	projetos/admin.py	siqueiralex/SistemaComissaoVoluntario	1a4ba8fd37d5182156e7bb4c4204845df2707fd1	[ "MIT" ]	null	null	null	projetos/admin.py	siqueiralex/SistemaComissaoVoluntario	1a4ba8fd37d5182156e7bb4c4204845df2707fd1	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import * # Register your models here. admin.site.register(Cronograma) admin.site.register(Atividade) admin.site.register(EfetivoDiario) admin.site.register(Unidade)	23.555556	34	0.816038	28	212	6.178571	0.5	0.208092	0.393064	0	0	0	0	0	0	0	0	0.084906	212	9	35	23.555556	0.891753	0.122642	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	6
099ad8518dad1d6a3df7458747dcb5b82bba5c36	42	py	Python	piecewise/monitor/__init__.py	jtbish/piecewise	d27e095e298698d83901bfd1236e0e0669261136	[ "MIT" ]	3	2019-12-04T02:28:08.000Z	2022-02-02T13:13:36.000Z	piecewise/monitor/__init__.py	jtbish/piecewise	d27e095e298698d83901bfd1236e0e0669261136	[ "MIT" ]	5	2020-01-15T04:33:36.000Z	2021-03-26T14:58:47.000Z	piecewise/monitor/__init__.py	jtbish/piecewise	d27e095e298698d83901bfd1236e0e0669261136	[ "MIT" ]	1	2020-06-04T08:55:27.000Z	2020-06-04T08:55:27.000Z	from .monitor import Monitor, NullMonitor	21	41	0.833333	5	42	7	0.8	0	0	0	0	0	0	0	0	0	0	0.119048	42	1	42	42	0.945946	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
09b13a36abe13835dfcebaecd4290e8a9855957c	180	py	Python	{{cookiecutter.package_name}}/{{cookiecutter.package_name}}/user/views.py	cmeadows/fbone-marrow	0c69bcafbe21c48641cc9759f2a959b9b7881ce3	[ "BSD-3-Clause" ]	null	null	null	{{cookiecutter.package_name}}/{{cookiecutter.package_name}}/user/views.py	cmeadows/fbone-marrow	0c69bcafbe21c48641cc9759f2a959b9b7881ce3	[ "BSD-3-Clause" ]	null	null	null	{{cookiecutter.package_name}}/{{cookiecutter.package_name}}/user/views.py	cmeadows/fbone-marrow	0c69bcafbe21c48641cc9759f2a959b9b7881ce3	[ "BSD-3-Clause" ]	1	2020-04-25T14:01:26.000Z	2020-04-25T14:01:26.000Z	from flask import Blueprint, render_template user = Blueprint('user', __name__, url_prefix='/user') @user.route('/') def index(): return render_template('user/index.html')	18	54	0.716667	23	180	5.304348	0.652174	0.229508	0.295082	0	0	0	0	0	0	0	0	0.127778	180	9	55	20	0.77707	0	0	0	0	0.138889	0	0	0	0	0	0	1	0.2	false	0	0.2	0.2	0.6	0.4	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	0	6
09b58c244a12073f6fbe4f057a9cdb4f58a173fa	98	py	Python	zipline/modelling/classifier.py	michaeljohnbennett/zipline	29321af1b472d72b759a71c9f5ba341109fc0e6d	[ "Apache-2.0" ]	1	2015-10-22T03:38:19.000Z	2015-10-22T03:38:19.000Z	zipline/modelling/classifier.py	michaeljohnbennett/zipline	29321af1b472d72b759a71c9f5ba341109fc0e6d	[ "Apache-2.0" ]	null	null	null	zipline/modelling/classifier.py	michaeljohnbennett/zipline	29321af1b472d72b759a71c9f5ba341109fc0e6d	[ "Apache-2.0" ]	null	null	null	""" classifier.py """ from zipline.modelling.term import Term class Classifier(Term): pass	9.8	39	0.704082	12	98	5.75	0.75	0	0	0	0	0	0	0	0	0	0	0.173469	98	9	40	10.888889	0.851852	0.132653	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	1	0	6
116897ffba2caba35db0ce442d80a7df19e49b10	11,412	py	Python	psydac/api/tests/test_api_feec_3d.py	mayuri-dhote/psydac	01ddbe2d049a599684c45060912d01c2658160a3	[ "MIT" ]	20	2019-07-30T12:37:57.000Z	2022-03-09T11:35:04.000Z	psydac/api/tests/test_api_feec_3d.py	mayuri-dhote/psydac	01ddbe2d049a599684c45060912d01c2658160a3	[ "MIT" ]	98	2019-04-01T16:32:27.000Z	2022-03-21T19:30:35.000Z	psydac/api/tests/test_api_feec_3d.py	mayuri-dhote/psydac	01ddbe2d049a599684c45060912d01c2658160a3	[ "MIT" ]	7	2019-10-03T03:49:47.000Z	2022-03-01T09:11:49.000Z	# -- coding: UTF-8 -- from sympde.topology import Mapping from sympde.calculus import grad, dot from sympde.calculus import laplace from sympde.topology import ScalarFunctionSpace from sympde.topology import elements_of from sympde.topology import NormalVector from sympde.topology import Cube, Derham from sympde.top...	32.69914	118	0.572906	1,806	11,412	3.41196	0.129568	0.018825	0.025316	0.02629	0.777345	0.774911	0.767121	0.759007	0.746349	0.737098	0.054451	0.224325	11,412	348	119	32.793103	0.641663	0.106642	0.744186	0	0.018605	0.0237	0.0128	0	0	0	0	0.009302	1	0.051163	false	0	0.106977	0	0.227907	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
fec208c22d9d1041117b1d183e1d441e6bf6d6c9	40	py	Python	lightRaven/agent/__init__.py	M0gician/lightRaven	edcaed1ffbfab95064fc2719f2e3f79375ce6f04	[ "MIT" ]	1	2020-12-16T07:41:44.000Z	2020-12-16T07:41:44.000Z	lightRaven/agent/__init__.py	M0gician/lightRaven	edcaed1ffbfab95064fc2719f2e3f79375ce6f04	[ "MIT" ]	null	null	null	lightRaven/agent/__init__.py	M0gician/lightRaven	edcaed1ffbfab95064fc2719f2e3f79375ce6f04	[ "MIT" ]	null	null	null	from .cem_seldonian import CEMSeldonian	20	39	0.875	5	40	6.8	1	0	0	0	0	0	0	0	0	0	0	0.1	40	1	40	40	0.944444	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
3a343af5749652da771adbdd16f972a23748ed7b	47	py	Python	pybabblesdk/blockchain/__init__.py	mosaicnetworks/pybabblesdk	6fe09cbe02ed8dc674aa849723bad5336a9b9017	[ "MIT" ]	3	2019-04-24T19:42:37.000Z	2020-06-09T03:36:04.000Z	pybabblesdk/blockchain/__init__.py	mosaicnetworks/pybabblesdk	6fe09cbe02ed8dc674aa849723bad5336a9b9017	[ "MIT" ]	null	null	null	pybabblesdk/blockchain/__init__.py	mosaicnetworks/pybabblesdk	6fe09cbe02ed8dc674aa849723bad5336a9b9017	[ "MIT" ]	null	null	null	from pybabblesdk.blockchain.block import Block	23.5	46	0.87234	6	47	6.833333	0.833333	0	0	0	0	0	0	0	0	0	0	0.085106	47	1	47	47	0.953488	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
28cf36595d374834e4f9baeeee590a8bb7fc9e14	166	py	Python	arxiv_html/renders/tasks.py	arXiv/arxiv-readability	20dac4540aaf689b2ab8fdababf51e89e645f077	[ "Apache-2.0", "MIT" ]	19	2019-01-02T16:39:10.000Z	2022-02-11T12:50:27.000Z	arxiv_html/renders/tasks.py	cul-it/arxiv-readability	20dac4540aaf689b2ab8fdababf51e89e645f077	[ "Apache-2.0", "MIT" ]	2	2018-11-12T17:09:14.000Z	2018-11-12T17:10:07.000Z	arxiv_html/renders/tasks.py	cul-it/arxiv-readability	20dac4540aaf689b2ab8fdababf51e89e645f077	[ "Apache-2.0", "MIT" ]	7	2019-01-10T22:02:01.000Z	2020-12-06T16:28:22.000Z	from ..celery import app from .engrafo import run_engrafo @app.task(bind=True) def run_engrafo_task(self, args, kwargs): return run_engrafo(args, **kwargs)	20.75	44	0.73494	25	166	4.72	0.56	0.254237	0	0	0	0	0	0	0	0	0	0.13253	166	7	45	23.714286	0.819444	0	0	0	0	0	0	0	0	0	0	0	1	0.2	false	0	0.4	0.2	0.8	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	6
e92ca4ce1f3afd72b1e63f43b5e858e59256b930	23,959	py	Python	blowdrycss/unit_tests/test_BreakpointParser.py	acnagy/test-blowdrycss	bd9603dc87dc304b811213e3e6c3c97afa7f5966	[ "MIT" ]	null	null	null	blowdrycss/unit_tests/test_BreakpointParser.py	acnagy/test-blowdrycss	bd9603dc87dc304b811213e3e6c3c97afa7f5966	[ "MIT" ]	null	null	null	blowdrycss/unit_tests/test_BreakpointParser.py	acnagy/test-blowdrycss	bd9603dc87dc304b811213e3e6c3c97afa7f5966	[ "MIT" ]	null	null	null	# python 2 from __future__ import absolute_import # builtins from unittest import TestCase, main # plugins from cssutils.css import Property # custom from blowdrycss.breakpointparser import BreakpointParser from blowdrycss_settings import px_to_em __author__ = 'chad nelson' __project__ = 'blowdrycss' class TestBr...	42.937276	120	0.588589	2,781	23,959	4.841064	0.046027	0.062987	0.053109	0.056377	0.895194	0.863701	0.838743	0.823739	0.816311	0.797371	0.023065	0.267123	23,959	557	121	43.014363	0.743664	0.005384	0.694611	0	0.005988	0.213803	0.023131	0	0	0	0	0.077844	1	0.065868	false	0	0.031936	0	0.0998	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
aaf350bea740d89fc42cf4f9697f8847e91e4497	143	py	Python	interface/backend/static/views.py	rahit/django-skeleton	b9d36da546307e3e28899a6e5054cc3f2229184d	[ "MIT" ]	1	2017-10-09T10:12:47.000Z	2017-10-09T10:12:47.000Z	interface/backend/static/views.py	rahit/django-skeleton	b9d36da546307e3e28899a6e5054cc3f2229184d	[ "MIT" ]	null	null	null	interface/backend/static/views.py	rahit/django-skeleton	b9d36da546307e3e28899a6e5054cc3f2229184d	[ "MIT" ]	null	null	null	from django.conf import settings from django.shortcuts import render def home(request): return render(request, '../frontend/index.html')	20.428571	52	0.762238	19	143	5.736842	0.736842	0.183486	0	0	0	0	0	0	0	0	0	0.132867	143	6	53	23.833333	0.879032	0	0	0	0	0.153846	0.153846	0	0	0	0	0	1	0.25	false	0	0.5	0.25	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	1	1	1	0	6
c9733ec60ea5acdcecfae5d12fddd4cfd198270b	17,097	py	Python	tests/test_config_pools.py	discogestalt/stingray	db55e0cd279cb8be8cf9716bc3e1e7f73cda2c1d	[ "Apache-2.0" ]	null	null	null	tests/test_config_pools.py	discogestalt/stingray	db55e0cd279cb8be8cf9716bc3e1e7f73cda2c1d	[ "Apache-2.0" ]	null	null	null	tests/test_config_pools.py	discogestalt/stingray	db55e0cd279cb8be8cf9716bc3e1e7f73cda2c1d	[ "Apache-2.0" ]	1	2019-05-28T20:16:59.000Z	2019-05-28T20:16:59.000Z	import pytest from stingray.apiclient import StingrayAPIClientError from stingray.config.pools import Pools, Pool import config_pool_responses as cpr stingray_args = dict( host='stingray', port='9070', user='admin', password='admin', api_version='5.2', ) stingray_args_old = dict( host='stingra...	30.260177	90	0.567409	2,133	17,097	4.368026	0.052508	0.021895	0.029194	0.026296	0.914779	0.864334	0.833745	0.773318	0.744231	0.725019	0.06594	0.297479	17,097	564	91	30.31383	0.709766	0	0.683628	0	0	0.147745	0.023279	0	0	0	0	0.152655	1	0.057522	false	0.004425	0.00885	0	0.070796	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
a30f7b07498ba34789452b8e6180953841011a57	5,857	py	Python	authors/apps/notification/test/test_notifications.py	andela/ah-backend-prime	0708463d4565a4977a5a5dcb839f1dfed52fdc90	[ "BSD-3-Clause" ]	1	2019-09-19T14:30:05.000Z	2019-09-19T14:30:05.000Z	authors/apps/notification/test/test_notifications.py	e-ian/authors-haven-frontend	05829c8088ca49ef2cf0863dc87ec55b44b13534	[ "BSD-3-Clause" ]	22	2019-03-25T16:10:53.000Z	2022-03-11T23:44:21.000Z	authors/apps/notification/test/test_notifications.py	e-ian/authors-haven-frontend	05829c8088ca49ef2cf0863dc87ec55b44b13534	[ "BSD-3-Clause" ]	6	2019-03-25T09:39:39.000Z	2021-03-11T23:54:12.000Z	from django.urls import reverse from django.shortcuts import get_object_or_404 from rest_framework import status from authors.apps.authentication.tests.test_data import VALID_USER_DATA from authors.apps.articles.tests.test_data import VALID_ARTICLE from authors.apps.notification.test.base import NotificationBaseTest fr...	38.032468	91	0.58938	596	5,857	5.607383	0.137584	0.062837	0.067026	0.100539	0.802513	0.763914	0.747756	0.747756	0.735787	0.711849	0.010651	0.29469	5,857	153	92	38.281046	0.798354	0.023903	0.676471	0	0	0.12272	0	0	0	0	0	0.066176	1	0.036765	false	0	0.058824	0	0.102941	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
a317fce5b37f463e15876a2aad89571583d1bf2d	56	py	Python	testing_editable_dots/main.py	AndydeCleyre/1576	3e0bb69c32ca343e4b21e19e44aead526efa09b6	[ "WTFPL" ]	null	null	null	testing_editable_dots/main.py	AndydeCleyre/1576	3e0bb69c32ca343e4b21e19e44aead526efa09b6	[ "WTFPL" ]	null	null	null	testing_editable_dots/main.py	AndydeCleyre/1576	3e0bb69c32ca343e4b21e19e44aead526efa09b6	[ "WTFPL" ]	1	2022-02-17T02:59:50.000Z	2022-02-17T02:59:50.000Z	def main(): import ruamel.yaml print("success")	14	22	0.625	7	56	5	1	0	0	0	0	0	0	0	0	0	0	0.232143	56	3	23	18.666667	0.813953	0	0	0	0	0.125	0	0	0	0	0	0	1	0.333333	true	0	0.333333	0	0.666667	0.333333	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	1	0	1	0	1	0	6
a342e6e0a74b8f0762677cdcad953a4a9a65832c	230	py	Python	app/wrapper/pynubank_wrapper/providers/__init__.py	brunoanhaia/budget-planner	edb030591fd8425e1e4132f869693bb10b941771	[ "MIT" ]	null	null	null	app/wrapper/pynubank_wrapper/providers/__init__.py	brunoanhaia/budget-planner	edb030591fd8425e1e4132f869693bb10b941771	[ "MIT" ]	2	2022-03-02T14:10:53.000Z	2022-03-17T22:56:25.000Z	app/wrapper/pynubank_wrapper/providers/__init__.py	brunoanhaia/budget-planner	edb030591fd8425e1e4132f869693bb10b941771	[ "MIT" ]	null	null	null	import pathlib import sys sys.path.append(str(pathlib.Path(__file__).parent)) from .database_provider import DatabaseProvider from .cache_data_provider import CacheDataProvider from .nubank_api_provider import NuBankApiProvider	25.555556	51	0.86087	29	230	6.517241	0.62069	0.222222	0	0	0	0	0	0	0	0	0	0.082609	230	8	52	28.75	0.895735	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.833333	0	0.833333	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
a36304a10ade9cff91ec6a08271ad7f1a3698961	3,241	py	Python	resources/dot_PyCharm/system/python_stubs/-762174762/PySide/QtGui/QBrush.py	basepipe/developer_onboarding	05b6a776f8974c89517868131b201f11c6c2a5ad	[ "MIT" ]	1	2020-04-20T02:27:20.000Z	2020-04-20T02:27:20.000Z	resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QBrush.py	basepipe/developer_onboarding	05b6a776f8974c89517868131b201f11c6c2a5ad	[ "MIT" ]	null	null	null	resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QBrush.py	basepipe/developer_onboarding	05b6a776f8974c89517868131b201f11c6c2a5ad	[ "MIT" ]	null	null	null	# encoding: utf-8 # module PySide.QtGui # from C:\Python27\lib\site-packages\PySide\QtGui.pyd # by generator 1.147 # no doc # imports import PySide.QtCore as __PySide_QtCore import Shiboken as __Shiboken class QBrush(__Shiboken.Object): # no doc def color(self, args, *kwargs): # real signature unknown ...	28.182609	77	0.597038	394	3,241	4.497462	0.19797	0.212754	0.327314	0.172686	0.709932	0.664786	0.645034	0.624718	0.231377	0	0.00296	0.270287	3,241	114	78	28.429825	0.7463	0.441222	0.467742	0	0	0	0	0	0	0	0	0	1	0.467742	false	0.467742	0.032258	0	0.516129	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	1	0	6
a372435586f2afaa438ddb0f033f039bdd0570ed	3,743	py	Python	tests/test_sklearn_metrics.py	miltondp/clustermatch-gene-expr	664bcf9032f53e22165ce7aa586dbf11365a5827	[ "BSD-2-Clause-Patent" ]	null	null	null	tests/test_sklearn_metrics.py	miltondp/clustermatch-gene-expr	664bcf9032f53e22165ce7aa586dbf11365a5827	[ "BSD-2-Clause-Patent" ]	13	2021-08-13T16:02:15.000Z	2022-01-31T17:56:57.000Z	tests/test_sklearn_metrics.py	miltondp/clustermatch-gene-expr	664bcf9032f53e22165ce7aa586dbf11365a5827	[ "BSD-2-Clause-Patent" ]	1	2021-08-09T14:57:40.000Z	2021-08-09T14:57:40.000Z	import numpy as np from sklearn.metrics import adjusted_rand_score as sklearn_ari from clustermatch.sklearn.metrics import ( adjusted_rand_index, get_contingency_matrix, get_pair_confusion_matrix, ) def test_get_contingency_matrix_k0_equal_k1(): part0 = np.array([0, 0, 1, 1, 2, 2]) part1 = np.arr...	28.792308	88	0.67299	613	3,743	3.836868	0.11093	0.019558	0.093963	0.03869	0.897959	0.868197	0.843963	0.835034	0.835034	0.827381	0.085838	0.200107	3,743	129	89	29.015504	0.699733	0.047288	0.584416	0	0	0	0	0	0	0	0	0.168831	1	0.116883	false	0	0.038961	0	0.155844	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
a376ae40f7c3bd7dfaf385381f45ce80d58e0987	83	py	Python	pipert2/utils/__init__.py	MayoG/PipeRT2	357bf8a5fd3f3fe2149b7b0317d2c39dde66561d	[ "MIT" ]	null	null	null	pipert2/utils/__init__.py	MayoG/PipeRT2	357bf8a5fd3f3fe2149b7b0317d2c39dde66561d	[ "MIT" ]	null	null	null	pipert2/utils/__init__.py	MayoG/PipeRT2	357bf8a5fd3f3fe2149b7b0317d2c39dde66561d	[ "MIT" ]	null	null	null	from .consts.event_names import START_EVENT_NAME, STOP_EVENT_NAME, KILL_EVENT_NAME	41.5	82	0.879518	14	83	4.714286	0.642857	0.409091	0	0	0	0	0	0	0	0	0	0.072289	83	1	83	83	0.857143	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
a38766907b7a13bbfb5af8c9d10e69c86518d20e	185	py	Python	Instanssi/ext_blog/admin.py	jpot/Instanssi.org	5b0e3d57e002a9e8f5bb32973d43884fbdbd6a7d	[ "MIT" ]	6	2015-04-03T12:15:02.000Z	2019-05-29T07:56:11.000Z	Instanssi/ext_blog/admin.py	jpot/Instanssi.org	5b0e3d57e002a9e8f5bb32973d43884fbdbd6a7d	[ "MIT" ]	52	2015-03-04T21:15:48.000Z	2022-03-21T20:16:24.000Z	Instanssi/ext_blog/admin.py	jpot/Instanssi.org	5b0e3d57e002a9e8f5bb32973d43884fbdbd6a7d	[ "MIT" ]	6	2017-09-26T00:52:51.000Z	2020-02-17T17:24:21.000Z	# -- coding: utf-8 -- from django.contrib import admin from Instanssi.ext_blog.models import BlogComment, BlogEntry admin.site.register(BlogEntry) admin.site.register(BlogComment)	20.555556	60	0.783784	24	185	6	0.666667	0.194444	0.25	0.361111	0	0	0	0	0	0	0.006024	0.102703	185	8	61	23.125	0.861446	0.113514	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	6
6e6caa8d791d7dce2a0c73d7fc9b7df0fdd7ff82	45	py	Python	netbox/netbox/tables/__init__.py	cybarox/netbox	ea197eff5f4fe925bb354d1375912decd81752bd	[ "Apache-2.0" ]	null	null	null	netbox/netbox/tables/__init__.py	cybarox/netbox	ea197eff5f4fe925bb354d1375912decd81752bd	[ "Apache-2.0" ]	null	null	null	netbox/netbox/tables/__init__.py	cybarox/netbox	ea197eff5f4fe925bb354d1375912decd81752bd	[ "Apache-2.0" ]	null	null	null	from .columns import * from .tables import *	15	22	0.733333	6	45	5.5	0.666667	0	0	0	0	0	0	0	0	0	0	0.177778	45	2	23	22.5	0.891892	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
6ea223a0bf986e6cd23fae74ae2e81c926773016	25	py	Python	config.py	rsutton/floa	fdd5e45015a4179d2b371bb8797d1c8068004b3a	[ "MIT" ]	null	null	null	config.py	rsutton/floa	fdd5e45015a4179d2b371bb8797d1c8068004b3a	[ "MIT" ]	null	null	null	config.py	rsutton/floa	fdd5e45015a4179d2b371bb8797d1c8068004b3a	[ "MIT" ]	null	null	null	import instance.config	8.333333	23	0.8	3	25	6.666667	1	0	0	0	0	0	0	0	0	0	0	0.16	25	2	24	12.5	0.952381	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
6eb09f341001a3415b08890a7db68ae5a1984176	27	py	Python	metrix/__init__.py	KiriLev/metrix	b2921d44319b1e67073067830f672cef8177fb5c	[ "MIT" ]	null	null	null	metrix/__init__.py	KiriLev/metrix	b2921d44319b1e67073067830f672cef8177fb5c	[ "MIT" ]	null	null	null	metrix/__init__.py	KiriLev/metrix	b2921d44319b1e67073067830f672cef8177fb5c	[ "MIT" ]	null	null	null	from .metrix import Metrix	13.5	26	0.814815	4	27	5.5	0.75	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	0.956522	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
6ec55c6ae91429b3a0b5a94a103b49e6ae67ad93	188	py	Python	Posts/models.py	Joanna218/HeyFans	bdd0c101642212522429845b05ee7e17de9e076b	[ "MIT" ]	null	null	null	Posts/models.py	Joanna218/HeyFans	bdd0c101642212522429845b05ee7e17de9e076b	[ "MIT" ]	null	null	null	Posts/models.py	Joanna218/HeyFans	bdd0c101642212522429845b05ee7e17de9e076b	[ "MIT" ]	null	null	null	from django.db import models # Create your models here. class Posts(models.Model): posts_name = models.CharField(max_length=30) posts_contents = models.CharField(max_length=30)	20.888889	52	0.760638	27	188	5.148148	0.62963	0.215827	0.258993	0.345324	0.374101	0	0	0	0	0	0.025	0.148936	188	8	53	23.5	0.84375	0.12766	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.25	0	1	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	6
42c6bda644eec4196424954e517ba815c331b627	411	py	Python	functional/fn02_inner-func.py	keys4words/oop	ddb80de06fcba8075632b6fdd620bb64056634d3	[ "Apache-2.0" ]	null	null	null	functional/fn02_inner-func.py	keys4words/oop	ddb80de06fcba8075632b6fdd620bb64056634d3	[ "Apache-2.0" ]	2	2021-06-09T07:03:54.000Z	2022-03-12T00:55:18.000Z	functional/fn02_inner-func.py	keys4words/oop	ddb80de06fcba8075632b6fdd620bb64056634d3	[ "Apache-2.0" ]	null	null	null	def add(x): def do_add(y): return x + y return do_add add_to_five = add(5) # print(add_to_five(7)) # print(add(5)(3)) def Person(name, age): def print_hello(): print('Hello! My name is {}'.format(name)) def get_age(): return age return {'print_hello': print_hello, 'ge...	18.681818	59	0.596107	66	411	3.5	0.333333	0.21645	0.194805	0.17316	0	0	0	0	0	0	0.018987	0.231144	411	22	60	18.681818	0.712025	0.092457	0	0	0	0.161725	0	0	0	0	0	0	1	0.357143	false	0	0	0.142857	0.642857	0.357143	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	6
42d497d1c33fe14bfb5e672ca6db524833ee9029	66	py	Python	test/lib/ns.py	rleite-olx/rubiks	db12e1bc3a21baf12b8795aa9602fe1ce3802059	[ "Apache-2.0" ]	60	2018-01-04T13:20:09.000Z	2021-04-13T15:22:46.000Z	test/lib/ns.py	rleite-olx/rubiks	db12e1bc3a21baf12b8795aa9602fe1ce3802059	[ "Apache-2.0" ]	18	2018-01-09T17:42:13.000Z	2019-01-23T09:56:39.000Z	test/lib/ns.py	rleite-olx/rubiks	db12e1bc3a21baf12b8795aa9602fe1ce3802059	[ "Apache-2.0" ]	8	2018-01-05T09:43:16.000Z	2020-06-18T15:28:42.000Z	from kube_objs import Namespace class NewNS(Namespace): pass	13.2	31	0.772727	9	66	5.555556	0.888889	0	0	0	0	0	0	0	0	0	0	0.181818	66	4	32	16.5	0.925926	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	1	0	6
6e4a6d608f6796a822ee3f5bfa0231e10c6ceffc	125	py	Python	stattools/regularization/__init__.py	artemmavrin/SLTools	04525b5d6777be3ccdc6ad44e4cbfe24a8875933	[ "MIT" ]	2	2018-07-10T22:16:23.000Z	2019-10-08T00:12:44.000Z	stattools/regularization/__init__.py	artemmavrin/SLTools	04525b5d6777be3ccdc6ad44e4cbfe24a8875933	[ "MIT" ]	null	null	null	stattools/regularization/__init__.py	artemmavrin/SLTools	04525b5d6777be3ccdc6ad44e4cbfe24a8875933	[ "MIT" ]	4	2019-05-17T23:06:07.000Z	2021-03-22T14:04:24.000Z	"""Package implementing regularization techniques.""" from .lasso_decorator import lasso from .ridge_decorator import ridge	25	53	0.824	14	125	7.214286	0.642857	0.29703	0	0	0	0	0	0	0	0	0	0.104	125	4	54	31.25	0.901786	0.376	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
2817431e87ad5f3c8767df7c9c5043f7598b7e8f	236	py	Python	app/app/api/domain/services/factories/ExerciseCommandRepositoryFactory.py	GPortas/Playgroundb	60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e	[ "Apache-2.0" ]	1	2019-01-30T19:59:20.000Z	2019-01-30T19:59:20.000Z	app/app/api/domain/services/factories/ExerciseCommandRepositoryFactory.py	GPortas/Playgroundb	60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e	[ "Apache-2.0" ]	null	null	null	app/app/api/domain/services/factories/ExerciseCommandRepositoryFactory.py	GPortas/Playgroundb	60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e	[ "Apache-2.0" ]	null	null	null	from app.api.data.command.ExerciseMongoCommandRepository import ExerciseMongoCommandRepository class ExerciseCommandRepositoryFactory: def create_exercise_command_repository(self): return ExerciseMongoCommandRepository()	29.5	94	0.851695	18	236	11	0.833333	0	0	0	0	0	0	0	0	0	0	0.105932	236	7	95	33.714286	0.938389	0	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.25	0.25	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	6
282823a7fcc7ebce32a9525eab9bafa04ee2b1a2	32	py	Python	depfetch/lang/__init__.py	ChristopherPtak/DepFetch	3122b8749970b254e5fcf3bf366c8bc21e80f71e	[ "MIT" ]	null	null	null	depfetch/lang/__init__.py	ChristopherPtak/DepFetch	3122b8749970b254e5fcf3bf366c8bc21e80f71e	[ "MIT" ]	null	null	null	depfetch/lang/__init__.py	ChristopherPtak/DepFetch	3122b8749970b254e5fcf3bf366c8bc21e80f71e	[ "MIT" ]	null	null	null	from depfetch.lang import cpp	8	29	0.78125	5	32	5	1	0	0	0	0	0	0	0	0	0	0	0.1875	32	3	30	10.666667	0.961538	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
954e8dfcdb6f2b9f030f69d4f832b24f61ddbc5b	90	py	Python	pyopls/__init__.py	vitalwarley/pyopls	26c0cd28e5fa4d2918edd1c7115bdbbb691102ea	[ "MIT" ]	31	2019-12-11T08:21:44.000Z	2022-03-11T06:57:46.000Z	pyopls/__init__.py	vitalwarley/pyopls	26c0cd28e5fa4d2918edd1c7115bdbbb691102ea	[ "MIT" ]	4	2020-05-08T05:21:18.000Z	2022-02-02T18:08:31.000Z	pyopls/__init__.py	vitalwarley/pyopls	26c0cd28e5fa4d2918edd1c7115bdbbb691102ea	[ "MIT" ]	12	2020-02-20T10:37:06.000Z	2022-03-21T21:29:45.000Z	from pyopls.opls import OPLS from pyopls.validation import OPLSValidator, OPLSDAValidator	30	60	0.866667	11	90	7.090909	0.636364	0.25641	0	0	0	0	0	0	0	0	0	0.1	90	2	61	45	0.962963	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
95f1e6f8759141b5e2b3f91c9bfb0c525f7735c5	4,536	py	Python	src/python/unit_tests_typedesc.py	cmstein/oiio	b2d7c347bf8910a61d693856999b6197fb1f21f2	[ "BSD-3-Clause" ]	2	2015-02-25T21:54:04.000Z	2015-07-30T17:59:13.000Z	src/python/unit_tests_typedesc.py	cmstein/oiio	b2d7c347bf8910a61d693856999b6197fb1f21f2	[ "BSD-3-Clause" ]	null	null	null	src/python/unit_tests_typedesc.py	cmstein/oiio	b2d7c347bf8910a61d693856999b6197fb1f21f2	[ "BSD-3-Clause" ]	2	2016-08-22T11:47:04.000Z	2021-01-04T11:35:39.000Z	# unit tests for TypeDesc import OpenImageIO as oiio import array def td_basetype_test(): print "Starting TypeDesc::BASETYPE enum tests..." # test 1 try: oiio.BASETYPE.UNKNOWN print "Test 1 passed" except: print "Test 1 failed" # test 2 try: oiio.BASETYPE.NONE ...	19.982379	53	0.546076	556	4,536	4.419065	0.133094	0.234432	0.193732	0.239316	0.407407	0.407407	0.342694	0.342694	0.342694	0.327228	0.048142	0.377205	4,536	226	54	20.070796	0.821593	0.056658	0.615819	0	0	0.238869	0	0	0	0	0	0	0	null	null	0.180791	0.011299	null	null	0.40678	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	0	0	1	6
2559c53289f883ed1869857c81fb4ece7bbc574c	82	py	Python	tests/testapp/formfields.py	jcass77/django-yearlessdate	19ed3ecb16efe33eea6f02138bb4365447cb2ea7	[ "BSD-3-Clause" ]	16	2016-09-23T07:09:40.000Z	2022-01-13T13:22:31.000Z	tests/testapp/formfields.py	jcass77/django-yearlessdate	19ed3ecb16efe33eea6f02138bb4365447cb2ea7	[ "BSD-3-Clause" ]	8	2017-12-06T08:32:12.000Z	2021-05-13T15:31:21.000Z	tests/testapp/formfields.py	jcass77/django-yearlessdate	19ed3ecb16efe33eea6f02138bb4365447cb2ea7	[ "BSD-3-Clause" ]	16	2016-03-04T07:55:56.000Z	2021-04-16T15:14:26.000Z	from django.forms import CharField class MyCustomFormField(CharField): pass	13.666667	35	0.792683	9	82	7.222222	0.888889	0	0	0	0	0	0	0	0	0	0	0.158537	82	5	36	16.4	0.942029	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	1	0	6
25711d81194b40bc2b6d0ba074e28cdcfaf6e15f	23	py	Python	tests/models/__init__.py	fajril/petrocast	7f26059f472bd436056307e6d2bb62d8b694111f	[ "Apache-2.0" ]	null	null	null	tests/models/__init__.py	fajril/petrocast	7f26059f472bd436056307e6d2bb62d8b694111f	[ "Apache-2.0" ]	null	null	null	tests/models/__init__.py	fajril/petrocast	7f26059f472bd436056307e6d2bb62d8b694111f	[ "Apache-2.0" ]	null	null	null	from petrocast import *	23	23	0.826087	3	23	6.333333	1	0	0	0	0	0	0	0	0	0	0	0.130435	23	1	23	23	0.95	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
c29e9896d6117be9ce19541780968759d12519b8	73	py	Python	packages/python/plotly/plotly/matplotlylib/mplexporter/tests/__init__.py	mastermind88/plotly.py	efa70710df1af22958e1be080e105130042f1839	[ "MIT" ]	11,750	2015-10-12T07:03:39.000Z	2022-03-31T20:43:15.000Z	packages/python/plotly/plotly/matplotlylib/mplexporter/tests/__init__.py	mastermind88/plotly.py	efa70710df1af22958e1be080e105130042f1839	[ "MIT" ]	2,951	2015-10-12T00:41:25.000Z	2022-03-31T22:19:26.000Z	packages/python/plotly/plotly/matplotlylib/mplexporter/tests/__init__.py	mastermind88/plotly.py	efa70710df1af22958e1be080e105130042f1839	[ "MIT" ]	2,623	2015-10-15T14:40:27.000Z	2022-03-28T16:05:50.000Z	import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt	14.6	31	0.808219	10	73	5.9	0.7	0.542373	0	0	0	0	0	0	0	0	0	0.109589	73	4	32	18.25	0.907692	0	0	0	0	0.041096	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
6c7b0c38ce7beeb19c2f598d9715b84d3323cf23	7,276	py	Python	tests/crypto/cipher/aes_ecb_tests.py	redradist/PyCodec	46884cbfb7de0f02bd917f86e58d9492951d60f0	[ "MIT" ]	null	null	null	tests/crypto/cipher/aes_ecb_tests.py	redradist/PyCodec	46884cbfb7de0f02bd917f86e58d9492951d60f0	[ "MIT" ]	null	null	null	tests/crypto/cipher/aes_ecb_tests.py	redradist/PyCodec	46884cbfb7de0f02bd917f86e58d9492951d60f0	[ "MIT" ]	null	null	null	import unittest from pycodec.crypto.cipher.aes import AES class Testing_AES_ECB(unittest.TestCase): def setUp(self): """Currently nothing to do. Use it for initialization data before test""" pass def tearDown(self): """Currently nothing to do. Use it for reinitialization data after t...	54.298507	84	0.734607	717	7,276	7.1841	0.090656	0.121142	0.055911	0.069889	0.785673	0.783343	0.77286	0.740245	0.717142	0.656572	0.091758	0.146234	7,276	133	85	54.706767	0.737444	0.018692	0.485437	0	0	0.276056	0.170571	0	0	0	0	0.23301	1	0.252427	false	0.019417	0.019417	0	0.281553	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	6
66807e7deab3bd2d06a9116f06fd2cfeb4f5b605	214	py	Python	funds/__init__.py	thorwhalen/funds	9fe62daf9a808da96ab21e3d9a4b45b641b55585	[ "Apache-2.0" ]	1	2022-01-19T13:15:20.000Z	2022-01-19T13:15:20.000Z	funds/__init__.py	thorwhalen/funds	9fe62daf9a808da96ab21e3d9a4b45b641b55585	[ "Apache-2.0" ]	null	null	null	funds/__init__.py	thorwhalen/funds	9fe62daf9a808da96ab21e3d9a4b45b641b55585	[ "Apache-2.0" ]	null	null	null	"""Historical financial data acquisition >>> from funds import get_ticker_symbols >>> tickers = get_ticker_symbols() >>> len(tickers) 4039 >>> 'GOOG' in tickers True """ from funds.util import get_ticker_symbols	17.833333	41	0.747664	28	214	5.5	0.607143	0.175325	0.311688	0.285714	0	0	0	0	0	0	0.021505	0.130841	214	11	42	19.454545	0.806452	0.761682	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
6684e80fe7051ea4e6ca0d064b87918d78ba9cb0	148	py	Python	train/__init__.py	marella/train	3c4ba1f59bf20e31f7ee5ea9a8f38e49440a93f7	[ "MIT" ]	null	null	null	train/__init__.py	marella/train	3c4ba1f59bf20e31f7ee5ea9a8f38e49440a93f7	[ "MIT" ]	null	null	null	train/__init__.py	marella/train	3c4ba1f59bf20e31f7ee5ea9a8f38e49440a93f7	[ "MIT" ]	null	null	null	from .agents import * from .policy import * from .state import * from . import agents from . import policy from . import state from . import utils	16.444444	21	0.736486	21	148	5.190476	0.285714	0.366972	0	0	0	0	0	0	0	0	0	0.195946	148	8	22	18.5	0.915966	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
dd6570c17c2a025a5442c2b28d6884854ffb8dc0	4,924	py	Python	chainlibpy/generated/cosmos/auth/v1beta1/query_pb2_grpc.py	MaCong-crypto/chainlibpy	8f91869fdf068359ebd9a3b206a7e856d8fa84f3	[ "Apache-2.0" ]	null	null	null	chainlibpy/generated/cosmos/auth/v1beta1/query_pb2_grpc.py	MaCong-crypto/chainlibpy	8f91869fdf068359ebd9a3b206a7e856d8fa84f3	[ "Apache-2.0" ]	null	null	null	chainlibpy/generated/cosmos/auth/v1beta1/query_pb2_grpc.py	MaCong-crypto/chainlibpy	8f91869fdf068359ebd9a3b206a7e856d8fa84f3	[ "Apache-2.0" ]	null	null	null	'Client and server classes corresponding to protobuf-defined services.' import grpc from ....cosmos.auth.v1beta1 import query_pb2 as cosmos_dot_auth_dot_v1beta1_dot_query__pb2 class QueryStub(object): 'Query defines the gRPC querier service.\n ' def __init__(self, channel): 'Constructor.\n\n ...	89.527273	821	0.816003	593	4,924	6.384486	0.155143	0.042261	0.06524	0.080296	0.808505	0.797412	0.797412	0.736397	0.716852	0.663233	0.01675	0.102762	4,924	54	822	91.185185	0.840199	0.082047	0.357143	0	0	0.166565	0.046516	0	0	0	0	0	1	0.190476	false	0	0.047619	0.071429	0.380952	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
dd96a98f24d32af63bba5fc41a7d132b205edbfc	76	py	Python	boa3_test/test_sc/interop_test/binary/AtoiMismatchedType.py	DanPopa46/neo3-boa	e4ef340744b5bd25ade26f847eac50789b97f3e9	[ "Apache-2.0" ]	null	null	null	boa3_test/test_sc/interop_test/binary/AtoiMismatchedType.py	DanPopa46/neo3-boa	e4ef340744b5bd25ade26f847eac50789b97f3e9	[ "Apache-2.0" ]	null	null	null	boa3_test/test_sc/interop_test/binary/AtoiMismatchedType.py	DanPopa46/neo3-boa	e4ef340744b5bd25ade26f847eac50789b97f3e9	[ "Apache-2.0" ]	null	null	null	from boa3.builtin.interop.binary import atoi def main(): atoi(10, 10)	12.666667	44	0.697368	12	76	4.416667	0.833333	0	0	0	0	0	0	0	0	0	0.080645	0.184211	76	5	45	15.2	0.774194	0	0	0	0	0	0	0	0	0	0	0	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	1	0	1	0	1	0	6
dda06d3e5b4683c820a47a9090a9ee59028c0119	35	py	Python	apps/users/permissions/__init__.py	michaldomino/Voice-interface-optimization-server	fff59d4c5db599e35d4b5f3915bbb272d2000a26	[ "MIT" ]	null	null	null	apps/users/permissions/__init__.py	michaldomino/Voice-interface-optimization-server	fff59d4c5db599e35d4b5f3915bbb272d2000a26	[ "MIT" ]	null	null	null	apps/users/permissions/__init__.py	michaldomino/Voice-interface-optimization-server	fff59d4c5db599e35d4b5f3915bbb272d2000a26	[ "MIT" ]	null	null	null	from .is_verified import IsVerified	35	35	0.885714	5	35	6	1	0	0	0	0	0	0	0	0	0	0	0.085714	35	1	35	35	0.9375	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
662bcd2576164074578999c69e3cea1e04d0e28d	92	py	Python	src/qdtrader/signal/__init__.py	joequant/qdtrader	becec1422b4e18aa01c4ecc4082da18a7090ac9b	[ "BSL-1.0" ]	null	null	null	src/qdtrader/signal/__init__.py	joequant/qdtrader	becec1422b4e18aa01c4ecc4082da18a7090ac9b	[ "BSL-1.0" ]	null	null	null	src/qdtrader/signal/__init__.py	joequant/qdtrader	becec1422b4e18aa01c4ecc4082da18a7090ac9b	[ "BSL-1.0" ]	null	null	null	class Signal: def __init__(self): pass def generate(self, df): pass	15.333333	27	0.554348	11	92	4.272727	0.727273	0	0	0	0	0	0	0	0	0	0	0.358696	92	5	28	18.4	0.79661	0	0.4	1	0	0	0	0	0	0	0	0	1	0.4	false	0.4	0	0	0.6	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	null	0	0	1	0	1	0	0	1	0	6
66557c29496a76044bf811d40f5941b9166c717d	82	py	Python	utils.py	kguinto/covid-hackathon	db5fe4c1be3e5207d6a41964e1c414031503cd28	[ "Apache-2.0" ]	null	null	null	utils.py	kguinto/covid-hackathon	db5fe4c1be3e5207d6a41964e1c414031503cd28	[ "Apache-2.0" ]	2	2022-02-19T07:07:06.000Z	2022-02-27T11:19:27.000Z	utils.py	kguinto/__covid-hackathon	6ca9f169eaa840c24630cb0f101b727865cf7b5c	[ "Apache-2.0" ]	null	null	null	from random import randint def get_next_id(): return randint(1, 1000000000)	13.666667	33	0.743902	12	82	4.916667	0.916667	0	0	0	0	0	0	0	0	0	0.164179	0.182927	82	5	34	16.4	0.716418	0	0	0	0	0	0	0	0	0	0	0	1	0.333333	true	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	1	0	1	1	0	0	6
b0b4093a273ae91645a00c2e5e3ef33a3e4fff55	168	py	Python	paper_code/distributed_evolution/niches/__init__.py	adam-katona/QualityEvolvabilityES	ebb96e1dbc2422109714c0f5c8174073f9cc6c6f	[ "MIT" ]	1	2021-10-06T15:08:42.000Z	2021-10-06T15:08:42.000Z	paper_code/distributed_evolution/niches/__init__.py	adam-katona/QualityEvolvabilityES	ebb96e1dbc2422109714c0f5c8174073f9cc6c6f	[ "MIT" ]	null	null	null	paper_code/distributed_evolution/niches/__init__.py	adam-katona/QualityEvolvabilityES	ebb96e1dbc2422109714c0f5c8174073f9cc6c6f	[ "MIT" ]	null	null	null	from .core import Niche from .gym import GymNiche # from .multi_gym import MultiGymNiche from .novelty_gym import NoveltyGymNiche from .torch_gym import TorchGymNiche	24	40	0.833333	23	168	5.956522	0.521739	0.262774	0	0	0	0	0	0	0	0	0	0.130952	168	6	41	28	0.938356	0.214286	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
b0b8286a112f6cc255d6f141cac0e14ff0ca06ff	37	py	Python	app/others/__init__.py	pushyzheng/docker-oj-web	119abae3763cd2e53c686a320af7f4f5af1f16ca	[ "MIT" ]	2	2019-06-24T08:34:39.000Z	2019-06-27T12:23:47.000Z	app/user/__init__.py	pushyzheng/docker-oj-web	119abae3763cd2e53c686a320af7f4f5af1f16ca	[ "MIT" ]	null	null	null	app/user/__init__.py	pushyzheng/docker-oj-web	119abae3763cd2e53c686a320af7f4f5af1f16ca	[ "MIT" ]	null	null	null	# encoding:utf-8 from . import views	12.333333	19	0.72973	6	37	4.5	1	0	0	0	0	0	0	0	0	0	0.032258	0.162162	37	3	19	12.333333	0.83871	0.378378	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
b0ea14f23aa13ed5b01ab401dc15e87a0682123c	244	py	Python	ppydb/_operations.py	louisdevie/ppydb	39155835ffc847086bb37c6f1d30628f102e8ba2	[ "MIT" ]	null	null	null	ppydb/_operations.py	louisdevie/ppydb	39155835ffc847086bb37c6f1d30628f102e8ba2	[ "MIT" ]	null	null	null	ppydb/_operations.py	louisdevie/ppydb	39155835ffc847086bb37c6f1d30628f102e8ba2	[ "MIT" ]	1	2021-12-09T21:36:38.000Z	2021-12-09T21:36:38.000Z	class OperationABC: pass class BaseTable(OperationABC): def __init__(self, table, db): self.table = table self.database = db class Selection(OperationABC): def __init__(self, pred): self.predicate = pred	17.428571	34	0.651639	27	244	5.592593	0.481481	0.198676	0.251656	0.304636	0	0	0	0	0	0	0	0.258197	244	13	35	18.769231	0.834254	0	0	0	0	0	0	0	0	0	0	0	1	0.222222	false	0.111111	0	0	0.555556	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	1	0	6
9fd650b62f039628f3719758b98a035e174ff14c	27	py	Python	src/ID_simple_triggers.py	faycalki/tainted-paths	81cecf6c1fba903ec3b8043e22652d222892609d	[ "MIT" ]	4	2019-09-26T21:34:32.000Z	2021-11-18T19:31:15.000Z	src/ID_simple_triggers.py	faycalki/tainted-paths	81cecf6c1fba903ec3b8043e22652d222892609d	[ "MIT" ]	null	null	null	src/ID_simple_triggers.py	faycalki/tainted-paths	81cecf6c1fba903ec3b8043e22652d222892609d	[ "MIT" ]	null	null	null	st_0 = 0 st_1 = 1 st_2 = 2	6.75	8	0.555556	9	27	1.333333	0.444444	0	0	0	0	0	0	0	0	0	0.333333	0.333333	27	3	9	9	0.333333	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	1	null	0	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
b007e6870fdb40636c1846c1e8837606118a05f5	67	py	Python	strategies/__init__.py	kyhoolee/shrinkbench	3226fcb9b992fa90a1af7584bf046051b0cc9664	[ "MIT" ]	null	null	null	strategies/__init__.py	kyhoolee/shrinkbench	3226fcb9b992fa90a1af7584bf046051b0cc9664	[ "MIT" ]	null	null	null	strategies/__init__.py	kyhoolee/shrinkbench	3226fcb9b992fa90a1af7584bf046051b0cc9664	[ "MIT" ]	null	null	null	from strategies.magnitude import * from strategies.random import *	22.333333	34	0.820896	8	67	6.875	0.625	0.509091	0	0	0	0	0	0	0	0	0	0.119403	67	2	35	33.5	0.932203	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
c6724d7bc53d0f36685d82fe626fa8942c758616	16,550	py	Python	dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20010502.py	aleasims/Peach	bb56841e943d719d5101fee0a503ed34308eda04	[ "MIT" ]	null	null	null	dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20010502.py	aleasims/Peach	bb56841e943d719d5101fee0a503ed34308eda04	[ "MIT" ]	null	null	null	dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20010502.py	aleasims/Peach	bb56841e943d719d5101fee0a503ed34308eda04	[ "MIT" ]	1	2020-07-26T03:57:45.000Z	2020-07-26T03:57:45.000Z	#This source doc used to bomb cDomlette just on parse, as Uche found out from Xml.Xslt import test_harness sheet_1 = """\ <?xml version='1.0' encoding='UTF-8'?> <xsl:stylesheet xhtml:dummy-for-xmlns='' exslt:dummy-for-xmlns='' version='1.0' rdf:dummy-for-xmlns='' dc:dummy-for-xmlns='' xmlns:xsl='http://www.w3.org/199...	78.436019	903	0.703082	2,514	16,550	4.624503	0.084726	0.066231	0.055737	0.067091	0.773267	0.753398	0.714261	0.670136	0.645106	0.629193	0.010363	0.119577	16,550	210	904	78.809524	0.787523	0.00429	0.397959	0	0.357143	0.982401	0.431849	0	0	0	0	0	1	0.005102	false	0.010204	0.005102	0	0.015306	0	0	0	0	null	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	0	1	1	1	null	0	0	0	0	0	0	0	0	0	6
c6801324e8aa1a34225a6db964dd71ba2ce91d54	5,973	py	Python	cogs rework/cogs/nuker.py	lubnc4261/House-Keeper	6de20014afaf00cf9050e54c91cd8b3a02702a27	[ "MIT" ]	null	null	null	cogs rework/cogs/nuker.py	lubnc4261/House-Keeper	6de20014afaf00cf9050e54c91cd8b3a02702a27	[ "MIT" ]	null	null	null	cogs rework/cogs/nuker.py	lubnc4261/House-Keeper	6de20014afaf00cf9050e54c91cd8b3a02702a27	[ "MIT" ]	null	null	null	import discord from discord.ext import commands from discord.ext.commands import MissingPermissions, BadArgument, MissingRequiredArgument, CommandInvokeError class nukerCog(commands.Cog): def __init__(self, bot): self.client = bot # With this code you can create your own server nuker ...	34.929825	123	0.498242	608	5,973	4.84375	0.174342	0.032598	0.044143	0.051952	0.802377	0.802377	0.771477	0.771477	0.758913	0.73039	0.016312	0.394442	5,973	171	124	34.929825	0.797899	0.047715	0.695652	0	0	0.14037	0.032644	0	0	0	0	0	1	0.017391	false	0	0.026087	0	0.086957	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
c6959838b6861e9f609b1d2d6dad4086127d6a63	1,845	py	Python	fsdl/_nbdev.py	manisnesan/fsdl	795d77796d8397fdebc0febd4cdc1477045ac86d	[ "Apache-2.0" ]	2	2021-05-20T02:58:18.000Z	2021-06-21T12:42:03.000Z	fsdl/_nbdev.py	manisnesan/fsdl	795d77796d8397fdebc0febd4cdc1477045ac86d	[ "Apache-2.0" ]	null	null	null	fsdl/_nbdev.py	manisnesan/fsdl	795d77796d8397fdebc0febd4cdc1477045ac86d	[ "Apache-2.0" ]	null	null	null	# AUTOGENERATED BY NBDEV! DO NOT EDIT! __all__ = ["index", "modules", "custom_doc_links", "git_url"] index = {"source": "01_noisyimagenette.ipynb", "df": "01_noisyimagenette.ipynb", "get_inverse_transform": "01_noisyimagenette.ipynb", "lbl_dict": "01_noisyimagenette.ipynb", "lbl_di...	47.307692	91	0.706775	196	1,845	6.19898	0.321429	0.209877	0.271605	0.296296	0.479012	0.378601	0	0	0	0	0.03653	0.169106	1,845	38	92	48.552632	0.756034	0.019512	0	1	0	0.692861	0.520753	0	0	0	0	0	1	0.032258	false	0	0	0.032258	0.032258	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	1	null	0	0	0	0	0	0	0	0	0	6
c6f137dfa850d31ca3b26e8928c42df49bc71e48	136	py	Python	src/handlers/database/__init__.py	Seon82/pyCharity	5eeb48df7990e096da190807714bcd634f806021	[ "MIT" ]	1	2021-06-28T09:10:33.000Z	2021-06-28T09:10:33.000Z	src/handlers/database/__init__.py	Seon82/pyCharity	5eeb48df7990e096da190807714bcd634f806021	[ "MIT" ]	null	null	null	src/handlers/database/__init__.py	Seon82/pyCharity	5eeb48df7990e096da190807714bcd634f806021	[ "MIT" ]	null	null	null	from .database_connector import DatabaseConnector from .template_manager import TemplateManager from .stats_manager import StatsManager	34	49	0.889706	15	136	7.866667	0.666667	0.220339	0	0	0	0	0	0	0	0	0	0.088235	136	3	50	45.333333	0.951613	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
05dba8574e0cc0e174cd67caba13cf1428d02c9d	35	py	Python	app/utils/misc/__init__.py	rdfsx/schedule_bot	7a0231e3bbb61ca4adec2a20a256fb35c35078ed	[ "MIT" ]	17	2020-12-26T18:23:44.000Z	2022-02-22T12:48:18.000Z	app/utils/misc/__init__.py	rdfsx/schedule_bot	7a0231e3bbb61ca4adec2a20a256fb35c35078ed	[ "MIT" ]	6	2021-01-01T13:46:15.000Z	2022-03-24T11:57:13.000Z	app/utils/misc/__init__.py	rdfsx/schedule_bot	7a0231e3bbb61ca4adec2a20a256fb35c35078ed	[ "MIT" ]	2	2021-09-10T13:19:01.000Z	2022-01-13T18:57:57.000Z	from .throttling import rate_limit	17.5	34	0.857143	5	35	5.8	1	0	0	0	0	0	0	0	0	0	0	0.114286	35	1	35	35	0.935484	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
af06401e59ef7f80ebae21ec9b7ab2a588d983c7	39	py	Python	Episode - 4 - Neural Network coding/fungsi/__init__.py	kelasterbuka/Kuliah_Terbuka	73fc5640ef59c8e78f8b844eede416bce11c1371	[ "Apache-2.0" ]	7	2022-03-05T08:11:15.000Z	2022-03-31T02:19:57.000Z	Episode - 4 - Neural Network coding/fungsi/__init__.py	kelasterbuka/Kuliah_Terbuka	73fc5640ef59c8e78f8b844eede416bce11c1371	[ "Apache-2.0" ]	null	null	null	Episode - 4 - Neural Network coding/fungsi/__init__.py	kelasterbuka/Kuliah_Terbuka	73fc5640ef59c8e78f8b844eede416bce11c1371	[ "Apache-2.0" ]	3	2022-03-11T12:02:02.000Z	2022-03-31T09:30:49.000Z	from .sigmoid import sigmoid as sigmoid	39	39	0.846154	6	39	5.5	0.666667	0	0	0	0	0	0	0	0	0	0	0.128205	39	1	39	39	0.970588	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
af0d90d512eb967566a11ad6f0646f42f3853825	7,011	py	Python	tests/test_production.py	Notgnoshi/generative	d9702c18b59553541f0cce706089f9fad501cd33	[ "MIT" ]	5	2021-02-11T07:55:51.000Z	2022-02-10T01:11:02.000Z	tests/test_production.py	Notgnoshi/generative	d9702c18b59553541f0cce706089f9fad501cd33	[ "MIT" ]	67	2020-12-31T18:02:05.000Z	2022-02-21T14:57:52.000Z	tests/test_production.py	Notgnoshi/generative	d9702c18b59553541f0cce706089f9fad501cd33	[ "MIT" ]	null	null	null	import unittest from generative.lsystem.grammar import RuleMapping, Token from generative.lsystem.production import RuleParser class RuleParsingParser(unittest.TestCase): def test_simple(self): parser = RuleParser() rule = "a -> ab" result = parser._parse(rule) self.assertEqual(r...	30.75	82	0.564399	784	7,011	4.961735	0.11352	0.015938	0.107969	0.136761	0.814653	0.786118	0.771979	0.703856	0.703856	0.643188	0.004082	0.266296	7,011	227	83	30.885463	0.752138	0.01626	0.672619	0	0.005952	0.107775	0.003336	0	0	0	0	0.333333	1	0.113095	false	0.005952	0.017857	0.005952	0.14881	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
af7055d53f836959d44aab349c454c7172ee342c	130	py	Python	gopy/search/__init__.py	strongSoda/data-structurea-and-algorithms	261fa2b4c0344a1aabf83934d0ad6cee9c17787d	[ "MIT" ]	1	2019-10-20T13:43:04.000Z	2019-10-20T13:43:04.000Z	gopy/search/__init__.py	strongSoda/data-structurea-and-algorithms	261fa2b4c0344a1aabf83934d0ad6cee9c17787d	[ "MIT" ]	11	2019-10-04T08:54:03.000Z	2019-10-19T09:06:10.000Z	gopy/search/__init__.py	strongSoda/gopy	261fa2b4c0344a1aabf83934d0ad6cee9c17787d	[ "MIT" ]	null	null	null	name="search" from .lsearch import search from .bsearch import search from .ternary import search from .jumpSearch import search	18.571429	30	0.807692	18	130	5.833333	0.444444	0.380952	0.457143	0	0	0	0	0	0	0	0	0.138462	130	7	30	18.571429	0.9375	0	0	0	0	0.045802	0	0	0	0	0	0	1	0	false	0	0.8	0	0.8	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	6
af928d7ebc03ce590a0b3ca98f00327d77f58178	3,400	py	Python	tests/test_annotation_values_route_functional.py	jic-dtool/dtool-lookup-server-annotation-filter-plugin	70ef2a5f64db65a767a238c9da01f50a674aea7d	[ "MIT" ]	null	null	null	tests/test_annotation_values_route_functional.py	jic-dtool/dtool-lookup-server-annotation-filter-plugin	70ef2a5f64db65a767a238c9da01f50a674aea7d	[ "MIT" ]	1	2021-02-12T18:28:40.000Z	2021-02-13T03:06:14.000Z	tests/test_annotation_values_route_functional.py	jic-dtool/dtool-lookup-server-annotation-filter-plugin	70ef2a5f64db65a767a238c9da01f50a674aea7d	[ "MIT" ]	null	null	null	import json from . import tmp_app # NOQA from . import GRUMPY_TOKEN, SLEEPY_TOKEN, NOONE_TOKEN def test_annotaion_values_route(tmp_app): # NOQA headers = dict(Authorization="Bearer " + GRUMPY_TOKEN) data = {"annotation_keys": ["color"]} r = tmp_app.post( "/annotation_filter_plugin/annotation_va...	32.075472	77	0.653235	405	3,400	5.224691	0.133333	0.039698	0.033081	0.036389	0.920132	0.907372	0.860586	0.860586	0.811909	0.811909	0.012369	0.215294	3,400	105	78	32.380952	0.780735	0.01	0.692308	0	0	0.199226	0.089637	0	0	0	0	0.142857	1	0.065934	false	0	0.032967	0	0.098901	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
afa47d4d5ac2133ee9247dbe7be37679395ab61f	87	py	Python	symnet/__init__.py	tej-prash/quantile_regression	bd68d0122c95cd00f8f13710150db433cae17d67	[ "MIT" ]	3	2020-01-14T04:47:04.000Z	2020-11-18T13:20:00.000Z	symnet/__init__.py	tej-prash/quantile_regression	bd68d0122c95cd00f8f13710150db433cae17d67	[ "MIT" ]	9	2020-01-28T22:47:51.000Z	2022-02-10T00:19:50.000Z	symnet/__init__.py	tej-prash/quantile_regression	bd68d0122c95cd00f8f13710150db433cae17d67	[ "MIT" ]	5	2019-06-20T18:37:25.000Z	2020-06-21T16:37:33.000Z	from symnet.model import AbstractModel from symnet.activations import CustomActivation	29	47	0.885057	10	87	7.7	0.7	0.25974	0	0	0	0	0	0	0	0	0	0.091954	87	2	48	43.5	0.974684	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
bbf5be4c3e627e14068617a181d40689653c3879	2,402	py	Python	nn/activations.py	denis-kondrashkin/ml	b60ac4b645fe1b13076e28018eaf966cbb84fcbb	[ "MIT" ]	null	null	null	nn/activations.py	denis-kondrashkin/ml	b60ac4b645fe1b13076e28018eaf966cbb84fcbb	[ "MIT" ]	null	null	null	nn/activations.py	denis-kondrashkin/ml	b60ac4b645fe1b13076e28018eaf966cbb84fcbb	[ "MIT" ]	null	null	null	import numpy as np from nn.module import Module class ReLU(Module): def __init__(self): super().__init__() def updateOutput(self, input): self.output = np.maximum(input, 0) return self.output def updateGradInput(self, input, gradOutput): self.gradInput = np.multiply(grad...	28.595238	67	0.637386	298	2,402	4.97651	0.127517	0.210384	0.091032	0.094403	0.813216	0.705327	0.705327	0.59474	0.565745	0.565745	0.009917	0.24438	2,402	83	68	28.939759	0.807163	0	0.564516	0	0	0.009992	0	0	0	0	0	0	1	0.258065	false	0	0.032258	0.064516	0.548387	0	0	0	0	null	1	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	1	0	6
a584c67e9767fda4bc07102aa1d1a94527bdbe33	343	py	Python	quicktracer/__init__.py	chapuzzo/quicktracer	284d5b28c5f875dc041107ccf583dee50c8c78a8	[ "MIT" ]	3	2018-01-11T03:36:01.000Z	2019-09-29T14:15:58.000Z	quicktracer/__init__.py	chapuzzo/quicktracer	284d5b28c5f875dc041107ccf583dee50c8c78a8	[ "MIT" ]	null	null	null	quicktracer/__init__.py	chapuzzo/quicktracer	284d5b28c5f875dc041107ccf583dee50c8c78a8	[ "MIT" ]	3	2018-01-10T22:35:18.000Z	2021-04-14T17:33:51.000Z	# from quicktracer.constants import KEY, VALUE, TIME # from quicktracer.quicktracer import trace from .quicktracer_lib import trace, reset # from .constants import KEY, VALUE, TIME from .quicktracer_lib import KEY, VALUE, TIME, CUSTOM_DISPLAY from .displays import Display __all__ = [trace, reset, KEY, VALUE, TIME, CU...	34.3	67	0.790087	46	343	5.717391	0.304348	0.228137	0.18251	0.205323	0.509506	0.319392	0.319392	0	0	0	0	0.134111	343	9	68	38.111111	0.885522	0.38484	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.75	0	0.75	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	6
3c0fe92a1344ba5ffe7e6f82a051056d8c79aa40	107	py	Python	edx_data_research/web_app/parse/__init__.py	gopa1959/test	3e224d0d86015b1e3e2da426e914aeb86c80d3c8	[ "MIT" ]	null	null	null	edx_data_research/web_app/parse/__init__.py	gopa1959/test	3e224d0d86015b1e3e2da426e914aeb86c80d3c8	[ "MIT" ]	null	null	null	edx_data_research/web_app/parse/__init__.py	gopa1959/test	3e224d0d86015b1e3e2da426e914aeb86c80d3c8	[ "MIT" ]	null	null	null	from flask import Blueprint parse = Blueprint('parse', __name__, url_prefix='/parse') from . import views	21.4	57	0.757009	14	107	5.428571	0.642857	0.368421	0	0	0	0	0	0	0	0	0	0.130841	107	5	58	21.4	0.817204	0	0	0	0	0.101852	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	1	6
3c2ca7f7f41994268e91087ea3f2a499b62b9891	49	py	Python	adaequare_gsp/monkey_patches/__init__.py	mohsinalimat/adaequare_gsp	e3e8bb282f25dc791cb07cc41e04bc60a7066e07	[ "MIT" ]	null	null	null	adaequare_gsp/monkey_patches/__init__.py	mohsinalimat/adaequare_gsp	e3e8bb282f25dc791cb07cc41e04bc60a7066e07	[ "MIT" ]	null	null	null	adaequare_gsp/monkey_patches/__init__.py	mohsinalimat/adaequare_gsp	e3e8bb282f25dc791cb07cc41e04bc60a7066e07	[ "MIT" ]	null	null	null	import adaequare_gsp.monkey_patches.create_party	24.5	48	0.918367	7	49	6	1	0	0	0	0	0	0	0	0	0	0	0.040816	49	1	49	49	0.893617	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
3c5cdd0fa1a6fca969c85c2b8c316d42b9864b0b	34	py	Python	src/fchecker/dict/__init__.py	IncognitoCoding/fchecker	bbc70685174c70b6c396e1c93864028bffd3e22e	[ "MIT" ]	null	null	null	src/fchecker/dict/__init__.py	IncognitoCoding/fchecker	bbc70685174c70b6c396e1c93864028bffd3e22e	[ "MIT" ]	null	null	null	src/fchecker/dict/__init__.py	IncognitoCoding/fchecker	bbc70685174c70b6c396e1c93864028bffd3e22e	[ "MIT" ]	null	null	null	from .dict_checks import KeyCheck	17	33	0.852941	5	34	5.6	1	0	0	0	0	0	0	0	0	0	0	0.117647	34	1	34	34	0.933333	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
3c60c296960f40d6258bbe187a43da761527bb2d	78	py	Python	BetterString/__init__.py	BloodVexed/BetterString	69251b4ec1e419de1f3fe1b190246fa0052067b0	[ "MIT" ]	1	2021-04-17T14:34:55.000Z	2021-04-17T14:34:55.000Z	BetterString/__init__.py	BloodVexed/BetterString	69251b4ec1e419de1f3fe1b190246fa0052067b0	[ "MIT" ]	null	null	null	BetterString/__init__.py	BloodVexed/BetterString	69251b4ec1e419de1f3fe1b190246fa0052067b0	[ "MIT" ]	null	null	null	from .BetterString import * from .Color import * from .Exceptions import *	19.5	28	0.730769	9	78	6.333333	0.555556	0.350877	0	0	0	0	0	0	0	0	0	0.192308	78	3	29	26	0.904762	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
b1c091ee489a64507aa60cea477b3e2b4d4d93b5	108	py	Python	src/releasely/tasks/__init__.py	gordonfierce/releasely	2dfa84f3eef7f17675a45d87318e1ef15088295b	[ "MIT" ]	1	2020-09-21T17:04:27.000Z	2020-09-21T17:04:27.000Z	src/releasely/tasks/__init__.py	gordonfierce/releasely	2dfa84f3eef7f17675a45d87318e1ef15088295b	[ "MIT" ]	2	2020-09-16T00:24:55.000Z	2021-12-16T16:57:24.000Z	src/releasely/tasks/__init__.py	gordonfierce/releasely	2dfa84f3eef7f17675a45d87318e1ef15088295b	[ "MIT" ]	1	2021-12-16T16:49:20.000Z	2021-12-16T16:49:20.000Z	from . import check, prepare_release, release_notes task_modules = [check, prepare_release, release_notes]	27	54	0.814815	14	108	5.928571	0.571429	0.289157	0.457831	0.626506	0.746988	0	0	0	0	0	0	0.111111	108	3	55	36	0.864583	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	6
b1db00b7ac5cd8eb115cebadbfebaf7e16931ddb	105	py	Python	veros/diagnostics/__init__.py	AkasDutta/veros	9f530596a0148a398829050017de3e01a71261a0	[ "MIT" ]	115	2019-11-23T02:31:30.000Z	2022-03-29T12:58:30.000Z	veros/diagnostics/__init__.py	AkasDutta/veros	9f530596a0148a398829050017de3e01a71261a0	[ "MIT" ]	207	2019-11-21T13:21:22.000Z	2022-03-31T23:36:09.000Z	veros/diagnostics/__init__.py	AkasDutta/veros	9f530596a0148a398829050017de3e01a71261a0	[ "MIT" ]	21	2020-01-28T13:13:39.000Z	2022-02-02T13:46:33.000Z	from veros.diagnostics.api import create_default_diagnostics, initialize, diagnose, output # noqa: F401	52.5	104	0.828571	13	105	6.538462	0.923077	0	0	0	0	0	0	0	0	0	0.031915	0.104762	105	1	105	105	0.87234	0.095238	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
b1fdc9483fe1252f4bd266db7f914a9d8427d3b7	1,981	py	Python	web/channels/management/channel.py	vtalks/vtalks.net	80fb19ff9684e0854c6abe5f0eef73e80ec326a6	[ "Apache-2.0" ]	1	2017-11-28T03:17:23.000Z	2017-11-28T03:17:23.000Z	web/channels/management/channel.py	vtalks/vtalks.net	80fb19ff9684e0854c6abe5f0eef73e80ec326a6	[ "Apache-2.0" ]	56	2018-01-14T18:03:03.000Z	2018-06-25T17:59:02.000Z	web/channels/management/channel.py	vtalks/vtalks.net	80fb19ff9684e0854c6abe5f0eef73e80ec326a6	[ "Apache-2.0" ]	null	null	null	from datetime import datetime from django.utils import timezone from channels.models import Channel def create_channel(channel_json_data): """ Create a new Channel into the database """ channel_code = channel_json_data["id"] if "snippet" in channel_json_data: snippet = channel_json_data["sni...	38.843137	93	0.650177	221	1,981	5.565611	0.208145	0.125203	0.170732	0.178862	0.744715	0.744715	0.744715	0.744715	0.744715	0.744715	0.004065	0.254922	1,981	50	94	39.62	0.829268	0.044927	0.5	0	0	0.120598	0.023479	0	0	0	0	0	1	0.055556	false	0	0.083333	0	0.194444	0	0	0	0	null	0	0	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
5916296b0f17c83705ae5af2f31a44996d61e577	16,049	py	Python	tests/time_integration/test_newton.py	sandialabs/Spitfire	65670e3ba5d1ccb4ac72524b77957706345c5bf6	[ "Apache-2.0" ]	11	2020-03-20T02:10:17.000Z	2021-12-14T10:08:09.000Z	tests/time_integration/test_newton.py	sandialabs/Spitfire	65670e3ba5d1ccb4ac72524b77957706345c5bf6	[ "Apache-2.0" ]	18	2020-03-18T18:58:56.000Z	2021-12-21T02:35:35.000Z	tests/time_integration/test_newton.py	sandialabs/Spitfire	65670e3ba5d1ccb4ac72524b77957706345c5bf6	[ "Apache-2.0" ]	2	2021-05-31T17:24:56.000Z	2021-06-20T05:27:41.000Z	import unittest from spitfire import SimpleNewtonSolver from numpy import abs, imag, any, Inf, zeros, array, NaN from numpy import copy as numpy_copy def direct_residual(fun): def doubled(x, args, kwargs): output = fun(x, args, **kwargs) return output, numpy_copy(output) return doubled ...	38.12114	118	0.579164	1,672	16,049	5.313995	0.095694	0.078784	0.060777	0.026787	0.82386	0.796961	0.768824	0.744513	0.710636	0.69049	0.011874	0.338837	16,049	420	119	38.211905	0.825464	0.034955	0.699367	0	0	0.017187	0	0	0	0	0.002381	0.158228	1	0.129747	false	0	0.012658	0.066456	0.246835	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
5920e81e8fc432720afd19512d685a4751ff8168	48	py	Python	pycircuit/sim/__init__.py	michaelnt/pycircuit	ef3110c1c3789c1e5f30c35e3f5dd15ed4bd349e	[ "BSD-3-Clause" ]	25	2015-05-13T22:49:26.000Z	2020-03-10T04:13:20.000Z	pycircuit/sim/__init__.py	michaelnt/pycircuit	ef3110c1c3789c1e5f30c35e3f5dd15ed4bd349e	[ "BSD-3-Clause" ]	1	2016-11-09T13:09:31.000Z	2016-11-09T13:09:31.000Z	pycircuit/sim/__init__.py	michaelnt/pycircuit	ef3110c1c3789c1e5f30c35e3f5dd15ed4bd349e	[ "BSD-3-Clause" ]	9	2016-03-05T11:46:27.000Z	2022-01-19T18:30:55.000Z	from simulation import * from analysis import *	16	24	0.791667	6	48	6.333333	0.666667	0	0	0	0	0	0	0	0	0	0	0.166667	48	2	25	24	0.95	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
594ce334dfd6a434cfcef6ee41a5e59cd8cd028e	123	py	Python	scraper/code/crawler/spiders/zalora/urls.py	teknokeras/scrapy-splash	011cd9d141c0fde4476ace175fddd753fa944fc0	[ "MIT" ]	null	null	null	scraper/code/crawler/spiders/zalora/urls.py	teknokeras/scrapy-splash	011cd9d141c0fde4476ace175fddd753fa944fc0	[ "MIT" ]	5	2018-11-18T02:44:33.000Z	2022-03-02T14:54:48.000Z	scraper/code/crawler/spiders/zalora/urls.py	teknokeras/scrapy-splash	011cd9d141c0fde4476ace175fddd753fa944fc0	[ "MIT" ]	3	2017-09-24T11:51:01.000Z	2019-12-20T03:50:16.000Z	ZALORA_URLS = ['https://www.zalora.co.id/women/pakaian/atasan/?from=header'] def get_start_urls(): return ZALORA_URLS	24.6	76	0.739837	19	123	4.578947	0.789474	0.229885	0	0	0	0	0	0	0	0	0	0.097561	123	4	77	30.75	0.783784	0	0	0	0	0.471545	0	0	0	0	0	0	1	0.333333	false	0	0	0.333333	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	6
3ce80d64bc77c0d8596b73e3390f5c1b8892ee0e	69	py	Python	setup/nuke/nuke_path/menu.py	bumpybox/core	5a24640484f19e48dc12682dae979adc6d41dc0b	[ "MIT" ]	168	2017-06-23T15:50:43.000Z	2022-02-27T10:48:45.000Z	setup/nuke/nuke_path/menu.py	bumpybox/core	5a24640484f19e48dc12682dae979adc6d41dc0b	[ "MIT" ]	366	2017-06-22T08:38:45.000Z	2021-06-19T07:29:06.000Z	setup/nuke/nuke_path/menu.py	bumpybox/core	5a24640484f19e48dc12682dae979adc6d41dc0b	[ "MIT" ]	42	2017-06-23T15:27:26.000Z	2021-09-29T17:28:18.000Z	import avalon.api import avalon.nuke avalon.api.install(avalon.nuke)	17.25	31	0.826087	11	69	5.181818	0.454545	0.421053	0	0	0	0	0	0	0	0	0	0.072464	69	3	32	23	0.890625	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
3cfa1c28f463e7ab8836ed822bf9949b28637756	24	py	Python	pose/models/backbones/__init__.py	sithu31296/pose_estimation	b00da09cfaf0ee25cdc900a46ac0a2e2a878f16a	[ "MIT" ]	29	2021-09-14T08:05:28.000Z	2022-03-09T12:53:56.000Z	pose/models/backbones/__init__.py	sithu31296/pose_estimation	b00da09cfaf0ee25cdc900a46ac0a2e2a878f16a	[ "MIT" ]	5	2021-09-27T18:38:36.000Z	2022-01-31T16:28:39.000Z	pose/models/backbones/__init__.py	sithu31296/pose_estimation	b00da09cfaf0ee25cdc900a46ac0a2e2a878f16a	[ "MIT" ]	4	2021-09-17T19:13:44.000Z	2022-03-26T02:38:12.000Z	from .hrnet import HRNet	24	24	0.833333	4	24	5	0.75	0	0	0	0	0	0	0	0	0	0	0.125	24	1	24	24	0.952381	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
a713fed90669d81ad3b0fe0991125c5879c75e38	136	py	Python	src/openvibspec/__init__.py	arnrau/VibSpec	89c1a3bdaa6aa7a6f98704442a1ffd25f86d2cc2	[ "BSD-2-Clause" ]	1	2022-03-28T13:24:27.000Z	2022-03-28T13:24:27.000Z	src/openvibspec/__init__.py	arnrau/VibSpec	89c1a3bdaa6aa7a6f98704442a1ffd25f86d2cc2	[ "BSD-2-Clause" ]	null	null	null	src/openvibspec/__init__.py	arnrau/VibSpec	89c1a3bdaa6aa7a6f98704442a1ffd25f86d2cc2	[ "BSD-2-Clause" ]	1	2022-03-28T13:24:29.000Z	2022-03-28T13:24:29.000Z	from __future__ import absolute_import from . import io_ftir from . import ml_ftir from . import preprocessing __version__ = '0.1'	13.6	38	0.772059	19	136	4.947368	0.578947	0.319149	0.297872	0	0	0	0	0	0	0	0.017857	0.176471	136	9	39	15.111111	0.821429	0	0	0	0	0.022059	0	0	0	0	0	0	1	0	false	0	0.8	0	0.8	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	6
59576aed2d57612669bb4f42ebed430257908746	86	py	Python	common/serializers/__init__.py	Jenks18/mfl_api	ecbb8954053be06bbcac7e1132811d73534c78d9	[ "MIT" ]	19	2015-04-16T09:37:08.000Z	2022-02-10T11:50:30.000Z	common/serializers/__init__.py	Jenks18/mfl_api	ecbb8954053be06bbcac7e1132811d73534c78d9	[ "MIT" ]	125	2015-03-26T14:05:49.000Z	2020-05-14T08:16:50.000Z	common/serializers/__init__.py	Jenks18/mfl_api	ecbb8954053be06bbcac7e1132811d73534c78d9	[ "MIT" ]	39	2015-04-15T09:17:33.000Z	2022-03-28T18:08:16.000Z	from .serializer_base import * # NOQA from .serializer_declarations import * # NOQA	28.666667	46	0.767442	10	86	6.4	0.6	0.4375	0	0	0	0	0	0	0	0	0	0.162791	86	2	47	43	0.888889	0.104651	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
596013a1e2ded91d1f7024405bedebc7a51f2a30	72	py	Python	BioModelsDAG/__init__.py	danielqiang/BioModels	4697ad44d98953e2646f692f3010191febc64747	[ "MIT" ]	1	2021-03-07T13:47:07.000Z	2021-03-07T13:47:07.000Z	BioModelsDAG/__init__.py	danielqiang/BioModels	4697ad44d98953e2646f692f3010191febc64747	[ "MIT" ]	2	2021-03-31T19:53:45.000Z	2021-12-13T20:46:15.000Z	BioModelsDAG/__init__.py	danielqiang/BioModels	4697ad44d98953e2646f692f3010191febc64747	[ "MIT" ]	null	null	null	from .utils import * from .pipeline import * from .classifiers import *	18	26	0.75	9	72	6	0.555556	0.37037	0	0	0	0	0	0	0	0	0	0.166667	72	3	27	24	0.9	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
596085fe0b62ed5885ce8806004d6dfc76a1895e	4,977	py	Python	tests/test_cases/test_multi_dimension_array/test_cocotb_array.py	lavanyajagan/cocotb	2f98612016e68510e264a2b4963303d3588d8404	[ "BSD-3-Clause" ]	350	2015-01-09T12:50:13.000Z	2019-07-12T09:08:17.000Z	tests/test_cases/test_multi_dimension_array/test_cocotb_array.py	lavanyajagan/cocotb	2f98612016e68510e264a2b4963303d3588d8404	[ "BSD-3-Clause" ]	710	2015-01-05T16:42:29.000Z	2019-07-16T13:40:00.000Z	tests/test_cases/test_multi_dimension_array/test_cocotb_array.py	lavanyajagan/cocotb	2f98612016e68510e264a2b4963303d3588d8404	[ "BSD-3-Clause" ]	182	2015-01-08T09:35:20.000Z	2019-07-12T18:41:37.000Z	import cocotb from cocotb.triggers import Timer @cocotb.test() async def test_in_vect_packed(dut): test_value = 0x5 dut.in_vect_packed.value = test_value await Timer(1, "ns") assert dut.out_vect_packed.value == test_value @cocotb.test() async def test_in_vect_unpacked(dut): test_value = [0x1, 0x...	29.276471	98	0.71951	788	4,977	4.227157	0.077411	0.154008	0.159712	0.132092	0.977784	0.945362	0.903933	0.87211	0.861903	0.833684	0.04292	0.171388	4,977	169	99	29.449704	0.764791	0.058268	0.476563	0	0	0.017724	0	0	0	0.01089	0	0.148438	1	0	false	0	0.015625	0	0.015625	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
abd0bf7154f534a1d79c947e99b27c00f9a3854a	308	py	Python	pymoo/model/repair.py	Electr0phile/pymoo	652428473cc68b6d9deada3792635bc8a831b255	[ "Apache-2.0" ]	11	2018-05-22T17:38:02.000Z	2022-02-28T03:34:33.000Z	pymoo/model/repair.py	Asurada2015/pymoo	023a787d0b78813e789f170a3e94b2de85605aff	[ "Apache-2.0" ]	null	null	null	pymoo/model/repair.py	Asurada2015/pymoo	023a787d0b78813e789f170a3e94b2de85605aff	[ "Apache-2.0" ]	2	2018-05-29T21:16:52.000Z	2021-03-26T10:10:45.000Z	from abc import abstractmethod class Repair: """ This class is allows to repair individuals after crossover if necessary. """ def do(self, problem, pop, kwargs): return self._do(problem, pop, kwargs) @abstractmethod def _do(self, problem, pop, **kwargs): pass	20.533333	76	0.63961	37	308	5.27027	0.621622	0.153846	0.246154	0.164103	0.25641	0.25641	0	0	0	0	0	0.256494	308	14	77	22	0.851528	0.233766	0	0	0	0	0	0	0	0	0	0	1	0.285714	false	0.142857	0.142857	0.142857	0.714286	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	1	0	6
05250b1dcf19b770263328fe07380adc6b5ae3f3	174	py	Python	alg3dpy/tests/test_areas.py	saullocastro/alg3dpy	a3bf5fcef177a869447661166bf4aa7ef4365568	[ "BSD-3-Clause" ]	2	2019-02-05T06:12:27.000Z	2020-03-15T21:37:33.000Z	alg3dpy/tests/test_areas.py	saullocastro/alg3dpy	a3bf5fcef177a869447661166bf4aa7ef4365568	[ "BSD-3-Clause" ]	null	null	null	alg3dpy/tests/test_areas.py	saullocastro/alg3dpy	a3bf5fcef177a869447661166bf4aa7ef4365568	[ "BSD-3-Clause" ]	null	null	null	import numpy as np from alg3dpy.areas import area_tria def test_areas(): assert np.isclose(area_tria([0, 2, 0], [2, 0, 0], [0, 0, 2]), 3.4641016151377557)	19.333333	65	0.626437	29	174	3.655172	0.586207	0.056604	0.056604	0	0	0	0	0	0	0	0.201493	0.229885	174	8	66	21.75	0.589552	0	0	0	0	0	0	0	0	0	0	0.2	1	0.2	true	0	0.4	0	0.6	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
052ebbf4af88cfa99543d5434bc3a0c01518858c	212	py	Python	starters/dockerized-django/default/{{cookiecutter.project_slug}}/config/settings/production.py	GreenDeploy-io/greendeploy-starters	58b4322a401568652a7e64b2ef148711364bd8eb	[ "Apache-2.0" ]	1	2022-02-22T09:05:39.000Z	2022-02-22T09:05:39.000Z	starters/dockerized-django/default/{{cookiecutter.project_slug}}/config/settings/production.py	GreenDeploy-io/greendeploy-starters	58b4322a401568652a7e64b2ef148711364bd8eb	[ "Apache-2.0" ]	1	2022-02-22T05:18:59.000Z	2022-02-22T05:19:10.000Z	starters/dockerized-django/default/{{cookiecutter.project_slug}}/config/settings/production.py	GreenDeploy-io/greendeploy-starters	58b4322a401568652a7e64b2ef148711364bd8eb	[ "Apache-2.0" ]	null	null	null	from .base import * # noqa from .base import env # https://docs.djangoproject.com/en/dev/ref/settings/#allowed-hosts ALLOWED_HOSTS = env.list("DJANGO_ALLOWED_HOSTS", default=["{{ cookiecutter.domain_name }}"])	35.333333	92	0.745283	29	212	5.310345	0.724138	0.233766	0.181818	0	0	0	0	0	0	0	0	0.09434	212	5	93	42.4	0.802083	0.325472	0	0	0	0.359712	0.172662	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	6
0561431dc3a941169e4ce06d2ea530fbe0a1e7d6	235	py	Python	eeyore/models/__init__.py	papamarkou/eeyore	4cd9b5a619cd095035aa93f348d1c937629aa8a3	[ "MIT" ]	6	2020-04-22T18:56:46.000Z	2021-09-09T15:57:48.000Z	eeyore/models/__init__.py	papamarkou/eeyore	4cd9b5a619cd095035aa93f348d1c937629aa8a3	[ "MIT" ]	19	2019-11-14T21:22:21.000Z	2020-10-31T16:18:36.000Z	eeyore/models/__init__.py	scidom/eeyore	4cd9b5a619cd095035aa93f348d1c937629aa8a3	[ "MIT" ]	null	null	null	from .bayesian_model import BayesianModel from .distribution_model import DistributionModel from .log_target_model import LogTargetModel from .logistic_regression import LogisticRegression from .mlp import MLP from .model import Model	33.571429	51	0.87234	29	235	6.896552	0.482759	0.22	0	0	0	0	0	0	0	0	0	0.102128	235	6	52	39.166667	0.947867	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
058714b5d002b7dd325b16ba045d56251d24b249	3,770	py	Python	tests.py	Holzhaus/python-markdown-full-yaml-metadata	288653ff2ee10e33b1fd262d080783e286d07ed0	[ "MIT" ]	8	2018-11-06T05:40:48.000Z	2021-08-22T10:01:45.000Z	tests.py	Holzhaus/python-markdown-full-yaml-metadata	288653ff2ee10e33b1fd262d080783e286d07ed0	[ "MIT" ]	11	2019-01-23T10:19:06.000Z	2021-07-30T22:17:51.000Z	tests.py	Holzhaus/python-markdown-full-yaml-metadata	288653ff2ee10e33b1fd262d080783e286d07ed0	[ "MIT" ]	3	2019-03-01T15:17:12.000Z	2020-12-29T17:57:01.000Z	import markdown import pytest @pytest.mark.parametrize( "source, expected_meta, expected_body", ( [ """--- title: What is Lorem Ipsum? category: Lorem Ipsum ... Lorem Ipsum is simply dummy text. """, {"title": "What is Lorem Ipsum?", "category": "Lorem Ipsum"}, "<p...	24.480519	78	0.557029	405	3,770	5.071605	0.14321	0.136319	0.093476	0.070107	0.946446	0.938656	0.938656	0.925511	0.894352	0.833009	0	0.306631	3,770	153	79	24.640523	0.785769	0	0.478723	0	0	0.338554	0	0	0	0	0	0.095745	1	0.053191	false	0	0.021277	0	0.074468	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
e98dfc500b20b614da321438c36c2d53b27f97f1	5,066	py	Python	actualidad/views.py	shiminasai/cantera	90f162351e1ad6ffaaf79cf90c361e302ab6e09f	[ "MIT" ]	null	null	null	actualidad/views.py	shiminasai/cantera	90f162351e1ad6ffaaf79cf90c361e302ab6e09f	[ "MIT" ]	null	null	null	actualidad/views.py	shiminasai/cantera	90f162351e1ad6ffaaf79cf90c361e302ab6e09f	[ "MIT" ]	2	2019-04-10T19:45:42.000Z	2019-04-24T17:16:40.000Z	from django.shortcuts import render,redirect from .models import * from evento.models import * from organizaciones.models import Pais import datetime from taggit.models import * from django.db.models import Q, Count # Create your views here. # def list_actualidad(request,template='list_actualidad.html'): # ...	45.63964	161	0.710422	655	5,066	5.20458	0.120611	0.041068	0.094456	0.079202	0.85773	0.849516	0.840716	0.828395	0.814022	0.814022	0.003242	0.147651	5,066	110	162	46.054545	0.786244	0.160679	0.684932	0	0	0.118303	0.005333	0	0	0	0	0	1	0.054795	false	0	0.09589	0	0.219178	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
e99c72125e21d2371c1a0468d1afab84a684416c	23,161	py	Python	test_vt_2.py	drobotun/virustotalapi	812c5839f944448548270f94f753b9fe0025b6fb	[ "MIT" ]	null	null	null	test_vt_2.py	drobotun/virustotalapi	812c5839f944448548270f94f753b9fe0025b6fb	[ "MIT" ]	null	null	null	test_vt_2.py	drobotun/virustotalapi	812c5839f944448548270f94f753b9fe0025b6fb	[ "MIT" ]	null	null	null	"""Модуль описывает тесты для проверки методов, реализемых в классе VirusTotalAPI. Константы: API_KEY - должна содержать строку с вашим ключем доступа к API. TEST_TIMEOUT - необходима для проверки методов при превышении времени ожидания ответа от сервера. TEST_FILE_PATH ...	41.358929	84	0.65878	2,832	23,161	5.116879	0.068503	0.044165	0.073563	0.101856	0.902077	0.887585	0.84411	0.769098	0.756124	0.722034	0.010534	0.258149	23,161	559	85	41.432916	0.832848	0.319675	0.645485	0	0	0.073193	0.022642	0	0	0	0	0.137124	1	0.137124	false	0	0.010033	0	0.167224	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
e9b56bba309413d939e5d36d10f5bceefc6e8616	7,791	py	Python	nginx/migrations/0004_auto_20200806_0837.py	rockychen-dpaw/it-assets	92ec23c6a413c5c45bb3d96981d6af68535d225c	[ "Apache-2.0" ]	4	2018-11-16T13:49:49.000Z	2021-08-19T05:16:50.000Z	nginx/migrations/0004_auto_20200806_0837.py	rockychen-dpaw/it-assets	92ec23c6a413c5c45bb3d96981d6af68535d225c	[ "Apache-2.0" ]	10	2018-07-06T09:34:56.000Z	2022-01-28T06:09:05.000Z	nginx/migrations/0004_auto_20200806_0837.py	rockychen-dpaw/it-assets	92ec23c6a413c5c45bb3d96981d6af68535d225c	[ "Apache-2.0" ]	9	2018-05-05T23:29:10.000Z	2020-06-26T02:29:17.000Z	# Generated by Django 2.2.14 on 2020-08-06 00:37 import django.contrib.postgres.fields from django.db import migrations, models import django.db.models.deletion import nginx.models class Migration(migrations.Migration): dependencies = [ ('nginx', '0003_auto_20200721_1129'), ] operations = [ ...	68.946903	234	0.640483	806	7,791	6.038462	0.184864	0.1015	0.020341	0.038833	0.818574	0.809945	0.792275	0.722827	0.695706	0.695706	0.01142	0.22449	7,791	112	235	69.5625	0.794108	0.005904	0.584906	1	0.009434	0.242154	0.017306	0	0	0	0	0	1	0	false	0	0.037736	0	0.066038	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	6
e9b6c71a251608df636becca80962f0454867b53	42	py	Python	nifstd/complete/context_bug_import.py	tmsincomb/pyontutils	dad24e7178d8d8cd3bd60d53b9039952fa7a5a1e	[ "MIT" ]	11	2017-05-12T08:50:03.000Z	2022-01-22T20:23:25.000Z	nifstd/complete/context_bug_import.py	tmsincomb/pyontutils	dad24e7178d8d8cd3bd60d53b9039952fa7a5a1e	[ "MIT" ]	81	2016-02-25T07:39:15.000Z	2022-02-17T20:20:27.000Z	nifstd/complete/context_bug_import.py	tmsincomb/pyontutils	dad24e7178d8d8cd3bd60d53b9039952fa7a5a1e	[ "MIT" ]	257	2017-07-18T19:32:22.000Z	2022-02-03T17:26:18.000Z	#!/usr/bin/env python3 import context_bug	14	22	0.785714	7	42	4.571429	1	0	0	0	0	0	0	0	0	0	0.026316	0.095238	42	2	23	21	0.815789	0.5	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
75735a7a113c8ab46e2ac826b7a8b244cc434618	118	py	Python	EduSim/Envs/KSS/Agent.py	bigdata-ustc/EduSim	849eed229c24615e5f2c3045036311e83c22ea68	[ "MIT" ]	18	2019-11-11T03:45:35.000Z	2022-02-09T15:31:51.000Z	EduSim/Envs/KSS/Agent.py	ghzhao78506/EduSim	cb10e952eb212d8a9344143f889207b5cd48ba9d	[ "MIT" ]	3	2020-10-23T01:05:57.000Z	2021-03-16T12:12:24.000Z	EduSim/Envs/KSS/Agent.py	bigdata-ustc/EduSim	849eed229c24615e5f2c3045036311e83c22ea68	[ "MIT" ]	6	2020-06-09T21:32:00.000Z	2022-03-12T00:25:18.000Z	# coding: utf-8 # 2020/5/8 @ tongshiwei from EduSim.SimOS import RandomAgent class KSSAgent(RandomAgent): pass	13.111111	36	0.728814	16	118	5.375	0.875	0	0	0	0	0	0	0	0	0	0.072165	0.177966	118	8	37	14.75	0.814433	0.29661	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	1	0	6
75badc607adad4cfd793eb90dfcea78a1162ba3f	203	py	Python	libsquiggly/analysis/__init__.py	staticfloat/libsquiggly	79c63c119a60e2e9c558aefcda6b1c1ac413a47a	[ "MIT" ]	null	null	null	libsquiggly/analysis/__init__.py	staticfloat/libsquiggly	79c63c119a60e2e9c558aefcda6b1c1ac413a47a	[ "MIT" ]	null	null	null	libsquiggly/analysis/__init__.py	staticfloat/libsquiggly	79c63c119a60e2e9c558aefcda6b1c1ac413a47a	[ "MIT" ]	null	null	null	# Only export very specific items from .matched_filter import energy, matched_filter, subsample_matched_filter from .rolling_abs_mean import rolling_abs_mean from .peak_suppression import suppress_peaks	40.6	76	0.871921	29	203	5.758621	0.62069	0.233533	0.167665	0	0	0	0	0	0	0	0	0.098522	203	4	77	50.75	0.912568	0.152709	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
75c577a0b6b5ed412cf0b29aefbfbddd9f219408	125	py	Python	deep/computer_vision/CycleGan/__init__.py	Jwuthri/DeepAlgos	cd1062a0339f6bf68fcdef26ade1c612ac6983f9	[ "MIT" ]	null	null	null	deep/computer_vision/CycleGan/__init__.py	Jwuthri/DeepAlgos	cd1062a0339f6bf68fcdef26ade1c612ac6983f9	[ "MIT" ]	null	null	null	deep/computer_vision/CycleGan/__init__.py	Jwuthri/DeepAlgos	cd1062a0339f6bf68fcdef26ade1c612ac6983f9	[ "MIT" ]	null	null	null	""" Cycle Gan: Cycle Gan can generate photos from paintings, turn horses into zebras, perform style transfer, and more. """	125	125	0.744	18	125	5.166667	0.888889	0.172043	0	0	0	0	0	0	0	0	0	0.168	125	1	125	125	0.894231	0.928	null	1	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	1	0	1	0	1	0	0	0	null	0	0	0	1	0	0	0	0	0	6
f9bb12a5791628a11cf25a690d258e56174ad67c	244	py	Python	lemon/models.py	lemon-chat/lemon-server-python	5947b52b3c4535ae54fe2705a830db07fdaf741d	[ "MIT" ]	null	null	null	lemon/models.py	lemon-chat/lemon-server-python	5947b52b3c4535ae54fe2705a830db07fdaf741d	[ "MIT" ]	null	null	null	lemon/models.py	lemon-chat/lemon-server-python	5947b52b3c4535ae54fe2705a830db07fdaf741d	[ "MIT" ]	null	null	null	from .application import mongo class User(mongo.Document): userid = mongo.IntField(required=True) username = mongo.StringField(max_length=50) email = mongo.StringField(max_length=50) password = mongo.StringField(max_length=50)	30.5	47	0.754098	31	244	5.83871	0.580645	0.265193	0.314917	0.414365	0.447514	0	0	0	0	0	0.028708	0.143443	244	7	48	34.857143	0.837321	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0.166667	0.166667	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	0	6
ddb4ab4500bc9f30daf984e73a94338da9e21197	59	py	Python	home/web/__init__.py	keaneokelley/home	e58e86d4490a5b1b0be77537604aac4a579af839	[ "MIT" ]	null	null	null	home/web/__init__.py	keaneokelley/home	e58e86d4490a5b1b0be77537604aac4a579af839	[ "MIT" ]	null	null	null	home/web/__init__.py	keaneokelley/home	e58e86d4490a5b1b0be77537604aac4a579af839	[ "MIT" ]	null	null	null	from home.web.events import * from home.web.fido2 import *	19.666667	29	0.762712	10	59	4.5	0.6	0.355556	0.488889	0	0	0	0	0	0	0	0.019608	0.135593	59	2	30	29.5	0.862745	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	6
fb142fa42e5346d6ae61ef72e7421f1694796f13	47	py	Python	digsigserver/signers/__init__.py	ichergui/digsigserver	dbd865c2bafe69510f4da41e473e4a3adb037f3e	[ "MIT" ]	9	2020-01-17T01:03:13.000Z	2022-03-14T16:47:22.000Z	digsigserver/signers/__init__.py	ichergui/digsigserver	dbd865c2bafe69510f4da41e473e4a3adb037f3e	[ "MIT" ]	7	2020-04-19T18:41:47.000Z	2021-11-30T20:52:59.000Z	digsigserver/signers/__init__.py	ichergui/digsigserver	dbd865c2bafe69510f4da41e473e4a3adb037f3e	[ "MIT" ]	5	2020-10-28T20:40:07.000Z	2022-03-28T13:52:43.000Z	from digsigserver.signers.signer import Signer	23.5	46	0.87234	6	47	6.833333	0.833333	0	0	0	0	0	0	0	0	0	0	0.085106	47	1	47	47	0.953488	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
34a2d7933d2e1baf938d76046b21cbdc53fabfc7	75	py	Python	cnsenti/__init__.py	edddyeddy/cnsenti	049ffbc41c5c22f112a66350216d13d3f6d9809e	[ "MIT" ]	140	2020-03-27T11:37:37.000Z	2021-05-14T01:01:29.000Z	cnsenti/__init__.py	edddyeddy/cnsenti	049ffbc41c5c22f112a66350216d13d3f6d9809e	[ "MIT" ]	4	2020-04-12T02:47:53.000Z	2021-05-07T11:15:25.000Z	cnsenti/__init__.py	edddyeddy/cnsenti	049ffbc41c5c22f112a66350216d13d3f6d9809e	[ "MIT" ]	32	2020-04-07T09:09:45.000Z	2021-04-28T15:53:24.000Z	from cnsenti.emotion import Emotion from cnsenti.sentiment import Sentiment	37.5	39	0.88	10	75	6.6	0.5	0.333333	0	0	0	0	0	0	0	0	0	0.093333	75	2	39	37.5	0.970588	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
34f4da0d27cea2d1bb00df108dabc2800525c397	68	py	Python	dice_tools/__init__.py	dicehub/dice_tools	7b3e70103180e64ddcf0f3de95cdbaa3e8019978	[ "MIT" ]	null	null	null	dice_tools/__init__.py	dicehub/dice_tools	7b3e70103180e64ddcf0f3de95cdbaa3e8019978	[ "MIT" ]	null	null	null	dice_tools/__init__.py	dicehub/dice_tools	7b3e70103180e64ddcf0f3de95cdbaa3e8019978	[ "MIT" ]	null	null	null	from ._types import * from ._client import * from ._wizard import *	17	22	0.735294	9	68	5.222222	0.555556	0.425532	0	0	0	0	0	0	0	0	0	0.176471	68	3	23	22.666667	0.839286	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
34f5ab11c5d015dd5b936125bd8d51dfe8e384d3	6,562	py	Python	scenarios/twolink_epp/plot_epp_comparison.py	jwallnoefer/multisat_qrepeater_sim_archive	69b4c242fb760cf195871f38b3172d4dfd26c01a	[ "MIT" ]	null	null	null	scenarios/twolink_epp/plot_epp_comparison.py	jwallnoefer/multisat_qrepeater_sim_archive	69b4c242fb760cf195871f38b3172d4dfd26c01a	[ "MIT" ]	null	null	null	scenarios/twolink_epp/plot_epp_comparison.py	jwallnoefer/multisat_qrepeater_sim_archive	69b4c242fb760cf195871f38b3172d4dfd26c01a	[ "MIT" ]	null	null	null	import os, sys; sys.path.insert(0, os.path.abspath(".")) import numpy as np import matplotlib.pyplot as plt # x_base = np.arange(1000, 401000, 1000) / 1000 # L_ATT = 22 * 10*3 / 1000 # attenuation length in km # eta = np.exp(-x_base / L_ATT) # y_repeaterless = 10 np.log10(-np.log2(1 - eta)) # y_optimal = 10 * np....	44.945205	142	0.739866	1,078	6,562	4.268089	0.112245	0.045642	0.073897	0.084764	0.855901	0.812649	0.78722	0.784612	0.778961	0.635514	0.018676	0.086102	6,562	145	143	45.255172	0.748541	0.596464	0.266667	0	0	0.203094	0.053947	0	0	0	0	0	1	0	false	0	0.066667	0	0.066667	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	6
550af900aa3811b46dff075edaebba0da3fbe8c7	113	py	Python	labelshift/calibrate/__init__.py	labelshift/labelshift	d5d6a06ef435a7fca96be7bbef415e52fb5235b4	[ "BSD-3-Clause" ]	null	null	null	labelshift/calibrate/__init__.py	labelshift/labelshift	d5d6a06ef435a7fca96be7bbef415e52fb5235b4	[ "BSD-3-Clause" ]	null	null	null	labelshift/calibrate/__init__.py	labelshift/labelshift	d5d6a06ef435a7fca96be7bbef415e52fb5235b4	[ "BSD-3-Clause" ]	null	null	null	"""Classifier calibration techniques. https://arxiv.org/pdf/1902.06977.pdf https://arxiv.org/abs/1706.04599 """	18.833333	37	0.743363	16	113	5.25	0.75	0.238095	0.309524	0	0	0	0	0	0	0	0.169811	0.061947	113	5	38	22.6	0.622642	0.929204	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	6
550bc387f9291dd0f1bd04bf878d4f3f2ea7e54e	284	py	Python	rlbox/testbed/__init__.py	ocraft/rl-sandbox	fba6571545cf040829998ba4cd9009a15ac1bbdd	[ "MIT" ]	2	2019-03-23T17:52:39.000Z	2019-03-29T17:29:52.000Z	rlbox/testbed/__init__.py	ocraft/rl-sandbox	fba6571545cf040829998ba4cd9009a15ac1bbdd	[ "MIT" ]	null	null	null	rlbox/testbed/__init__.py	ocraft/rl-sandbox	fba6571545cf040829998ba4cd9009a15ac1bbdd	[ "MIT" ]	2	2020-05-19T21:32:52.000Z	2020-09-30T09:28:45.000Z	import rlbox.testbed.config import rlbox.testbed.narmedbandit import rlbox.testbed.car_rental import rlbox.testbed.gambler import rlbox.testbed.racetrack import rlbox.testbed.windy_gridworld import rlbox.testbed.nstep_sarsa import rlbox.testbed.maze import rlbox.testbed.mountain_car	28.4	36	0.873239	40	284	6.1	0.375	0.405738	0.663934	0	0	0	0	0	0	0	0	0.06338	284	9	37	31.555556	0.917293	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
9b8a85ece09bc3ac3e9e36a04ff1d7a46effbd0e	25	py	Python	anchor/__init__.py	ysenarath/anchor	63dc0cd7aabda4a15c4c9f4b63089a36c5b0b97b	[ "Apache-2.0" ]	1	2021-11-14T16:01:48.000Z	2021-11-14T16:01:48.000Z	anchor/__init__.py	ysenarath/anchor	63dc0cd7aabda4a15c4c9f4b63089a36c5b0b97b	[ "Apache-2.0" ]	null	null	null	anchor/__init__.py	ysenarath/anchor	63dc0cd7aabda4a15c4c9f4b63089a36c5b0b97b	[ "Apache-2.0" ]	null	null	null	from .base import Anchor	12.5	24	0.8	4	25	5	1	0	0	0	0	0	0	0	0	0	0	0.16	25	1	25	25	0.952381	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
32e9c5898e6d7d2237677e865f29c8f08d8000bc	75	py	Python	testing-legacy/testutils/__init__.py	gigabackup/gigantum-client	70fe6b39b87b1c56351f2b4c551b6f1693813e4f	[ "MIT" ]	60	2018-09-26T15:46:00.000Z	2021-10-10T02:37:14.000Z	testing-legacy/testutils/__init__.py	gigabackup/gigantum-client	70fe6b39b87b1c56351f2b4c551b6f1693813e4f	[ "MIT" ]	1,706	2018-09-26T16:11:22.000Z	2021-08-20T13:37:59.000Z	testing-legacy/testutils/__init__.py	griffinmilsap/gigantum-client	70fe6b39b87b1c56351f2b4c551b6f1693813e4f	[ "MIT" ]	11	2019-03-14T13:23:51.000Z	2022-01-25T01:29:16.000Z	from .testutils import * from .elements import * from .actions import *	10.714286	24	0.72	9	75	6	0.555556	0.37037	0	0	0	0	0	0	0	0	0	0.2	75	6	25	12.5	0.9	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
fd05a0b3853d1f25a50e6b67ef511d5da65dc071	37	py	Python	faq_module/__init__.py	alentoghostflame/StupidAlentoBot	c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba	[ "MIT" ]	1	2021-12-12T02:50:20.000Z	2021-12-12T02:50:20.000Z	faq_module/__init__.py	alentoghostflame/StupidAlentoBot	c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba	[ "MIT" ]	17	2020-02-07T23:40:36.000Z	2020-12-22T16:38:44.000Z	faq_module/__init__.py	alentoghostflame/StupidAlentoBot	c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba	[ "MIT" ]	null	null	null	from faq_module.faq import FAQModule	18.5	36	0.864865	6	37	5.166667	0.833333	0	0	0	0	0	0	0	0	0	0	0.108108	37	1	37	37	0.939394	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
fd1e526370f04bdc8efd5bc7d229a074c8e00142	285	py	Python	measurement_stats/value/__init__.py	sernst/RefinedStatistics	3e310d265f17125b239f78cc35e42a3c3545d89b	[ "MIT" ]	null	null	null	measurement_stats/value/__init__.py	sernst/RefinedStatistics	3e310d265f17125b239f78cc35e42a3c3545d89b	[ "MIT" ]	null	null	null	measurement_stats/value/__init__.py	sernst/RefinedStatistics	3e310d265f17125b239f78cc35e42a3c3545d89b	[ "MIT" ]	1	2017-05-21T16:45:22.000Z	2017-05-21T16:45:22.000Z	from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from measurement_stats.value.value_type import ValueUncertainty from measurement_stats.value.value_ops import * # protected by __all__	35.625	70	0.877193	37	285	6.027027	0.486486	0.179372	0.286996	0.224215	0.269058	0	0	0	0	0	0	0.101754	285	7	71	40.714286	0.871094	0.070175	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0.166667	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6
fd2ff7469ff56f5cfb9187e97e99360a96996a4e	47	py	Python	dante/vendor/pyparsing/__init__.py	sbg/dante	104543c3ccb5e762d3e9cd6e8fa04c5fa91e2227	[ "Apache-2.0" ]	9	2017-11-03T15:53:01.000Z	2019-10-01T14:09:56.000Z	dante/vendor/pyparsing/__init__.py	sbg/dante	104543c3ccb5e762d3e9cd6e8fa04c5fa91e2227	[ "Apache-2.0" ]	4	2019-10-01T12:53:58.000Z	2021-04-26T15:39:16.000Z	dante/vendor/pyparsing/__init__.py	sbg/dante	104543c3ccb5e762d3e9cd6e8fa04c5fa91e2227	[ "Apache-2.0" ]	5	2017-11-03T15:50:40.000Z	2021-09-13T08:50:45.000Z	from dante.vendor.pyparsing.pyparsing import *	23.5	46	0.829787	6	47	6.5	0.833333	0	0	0	0	0	0	0	0	0	0	0.085106	47	1	47	47	0.906977	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	6

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