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train · 253k rows

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f58764fa0b40797d95abd3d6a3f0937cd6964e6c	1,197	py	Python	piccel/ui/__init__.py	lesca-research/piccel	dc363df65e29f3d6e71a2460b7cd7518d7f8ae0f	[ "MIT" ]	2	2021-05-25T13:57:47.000Z	2021-12-19T14:50:40.000Z	piccel/ui/__init__.py	lesca-research/piccel	dc363df65e29f3d6e71a2460b7cd7518d7f8ae0f	[ "MIT" ]	null	null	null	piccel/ui/__init__.py	lesca-research/piccel	dc363df65e29f3d6e71a2460b7cd7518d7f8ae0f	[ "MIT" ]	null	null	null	from .generated import access_ui from .generated import data_sheet_ui from .generated import form_item_ui from .generated import form_ui from .generated import item_boolean_checkboxes_ui from .generated import item_choice_radio_ui from .generated import item_datetime_ui from .generated import item_single_line_ui from ....	37.40625	49	0.867168	183	1,197	5.338798	0.202186	0.385875	0.563971	0.580348	0.659161	0.323439	0	0	0	0	0	0.105263	1,197	31	50	38.612903	0.912232	0.070175	0	1	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
f58e4bc40a350c6301e52e3f967841724fa4d675	67	py	Python	src/lesson_modules_and_packages/extension/demopkg2/overloaded.py	jasonwee/asus-rt-n14uhp-mrtg	4fa96c3406e32ea6631ce447db6d19d70b2cd061	[ "Apache-2.0" ]	3	2018-08-14T09:33:52.000Z	2022-03-21T12:31:58.000Z	src/lesson_modules_and_packages/extension/demopkg2/overloaded.py	jasonwee/asus-rt-n14uhp-mrtg	4fa96c3406e32ea6631ce447db6d19d70b2cd061	[ "Apache-2.0" ]	null	null	null	src/lesson_modules_and_packages/extension/demopkg2/overloaded.py	jasonwee/asus-rt-n14uhp-mrtg	4fa96c3406e32ea6631ce447db6d19d70b2cd061	[ "Apache-2.0" ]	null	null	null	def func(): print('This is the installed version of func().')	16.75	53	0.641791	10	67	4.3	0.9	0	0	0	0	0	0	0	0	0	0	0.208955	67	3	54	22.333333	0.811321	0	0	0	0	0.606061	0	0	0	0	0	1	0.5	true	0	0	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	1	1	0	0	0	0	1	6
f5a5e0a3f9b651f42de17ce7e9056c967d03811c	30	py	Python	sqlite_/__init__.py	StaticStartup/pyty	19d6ca69ea6fcf44e7c9f5b07cc703220597187d	[ "MIT" ]	null	null	null	sqlite_/__init__.py	StaticStartup/pyty	19d6ca69ea6fcf44e7c9f5b07cc703220597187d	[ "MIT" ]	null	null	null	sqlite_/__init__.py	StaticStartup/pyty	19d6ca69ea6fcf44e7c9f5b07cc703220597187d	[ "MIT" ]	null	null	null	from ._connector import sqlite	30	30	0.866667	4	30	6.25	1	0	0	0	0	0	0	0	0	0	0	0.1	30	1	30	30	0.925926	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	0	null	0	0	0	0	1	0	1	0	1	0	6
19122406f7cf3b1042bfef28d7961fa4d4dc2653	23	py	Python	database/__init__.py	drkitty/web-test	d49740100320fb542043280c31f420364aeba76f	[ "MIT" ]	null	null	null	database/__init__.py	drkitty/web-test	d49740100320fb542043280c31f420364aeba76f	[ "MIT" ]	null	null	null	database/__init__.py	drkitty/web-test	d49740100320fb542043280c31f420364aeba76f	[ "MIT" ]	null	null	null	from .data import Base	11.5	22	0.782609	4	23	4.5	1	0	0	0	0	0	0	0	0	0	0	0.173913	23	1	23	23	0.947368	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	0	null	0	0	0	0	1	0	1	0	1	0	6
5fd5a499aa553aaf264d1b6598e4fd94e80757b0	177	py	Python	manual/unicos/src-groups/script/lib/generator/predicate_function_declaration.py	Tikubonn/unico	c76de5309f8a3a6fda3110e463b7e9718ea530e3	[ "MIT" ]	null	null	null	manual/unicos/src-groups/script/lib/generator/predicate_function_declaration.py	Tikubonn/unico	c76de5309f8a3a6fda3110e463b7e9718ea530e3	[ "MIT" ]	null	null	null	manual/unicos/src-groups/script/lib/generator/predicate_function_declaration.py	Tikubonn/unico	c76de5309f8a3a6fda3110e463b7e9718ea530e3	[ "MIT" ]	null	null	null	def write (name, stream): stream.write("#include <unico.h>\n") stream.write("#include <stddef.h>\n") stream.write("extern int %s (size_t, size_t, unicos*);\n" % name)	25.285714	67	0.638418	28	177	3.964286	0.535714	0.297297	0.324324	0.234234	0	0	0	0	0	0	0	0.146893	177	6	68	29.5	0.735099	0	0	0	0	0.471591	0	0	0	0	0	1	0.25	false	0	0	0	0.25	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	6
5ff0b1031851a7f6a66295518d61aaa725bf1b84	6,131	py	Python	loldib/getratings/models/NA/na_zed/na_zed_jng.py	koliupy/loldib	c9ab94deb07213cdc42b5a7c26467cdafaf81b7f	[ "Apache-2.0" ]	null	null	null	loldib/getratings/models/NA/na_zed/na_zed_jng.py	koliupy/loldib	c9ab94deb07213cdc42b5a7c26467cdafaf81b7f	[ "Apache-2.0" ]	null	null	null	loldib/getratings/models/NA/na_zed/na_zed_jng.py	koliupy/loldib	c9ab94deb07213cdc42b5a7c26467cdafaf81b7f	[ "Apache-2.0" ]	null	null	null	from getratings.models.ratings import Ratings class NA_Zed_Jng_Aatrox(Ratings): pass class NA_Zed_Jng_Ahri(Ratings): pass class NA_Zed_Jng_Akali(Ratings): pass class NA_Zed_Jng_Alistar(Ratings): pass class NA_Zed_Jng_Amumu(Ratings): pass class NA_Zed_Jng_Anivia(Ratings): pass class NA_Z...	14.702638	46	0.750938	972	6,131	4.3107	0.151235	0.230549	0.329356	0.428162	0.784726	0.784726	0	0	0	0	0	0.18121	6,131	416	47	14.737981	0.834661	0	0.498195	0	0	0	0	0	0	0	0	1	0	true	0.498195	0.00361	0	0.501805	0	0	0	0	null	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	6
5ff54900b3df8d8babec7d72f4a475e49d6c8ea3	14,953	py	Python	sim/env.py	nihalgoalla/pensieve	282d2db3ea42e152880ff12f1497fa8b224aba90	[ "MIT" ]	null	null	null	sim/env.py	nihalgoalla/pensieve	282d2db3ea42e152880ff12f1497fa8b224aba90	[ "MIT" ]	null	null	null	sim/env.py	nihalgoalla/pensieve	282d2db3ea42e152880ff12f1497fa8b224aba90	[ "MIT" ]	null	null	null	import numpy as np MILLISECONDS_IN_SECOND = 1000.0 B_IN_MB = 1000000.0 BITS_IN_BYTE = 8.0 RANDOM_SEED = 42 VIDEO_CHUNCK_LEN = 4000.0 # millisec, every time add this amount to buffer BITRATE_LEVELS = 6 TOTAL_VIDEO_CHUNCK = 48 BUFFER_THRESH = 60.0 * MILLISECONDS_IN_SECOND # millisec, max buffer limit DRAIN_BUFFER_SLEE...	44.502976	133	0.600749	1,885	14,953	4.491777	0.119894	0.057872	0.062005	0.051966	0.847171	0.82355	0.809141	0.790363	0.783749	0.778316	0.013174	0.324818	14,953	335	134	44.635821	0.825475	0.537685	0.265487	0	0	0.001958	0	0	0	0	0.017699	1	0.017699	false	0	0.00885	0	0.044248	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
27598eb59ff4e69bffd8baa1d6f496234b1e7adf	6,686	py	Python	tests/test_rigid_alignment.py	Daiver/pygeom_tools	ed89d8cab2d5956c7c680da1ce6335f4c0a31c70	[ "MIT" ]	9	2019-10-29T18:39:47.000Z	2022-03-18T11:44:12.000Z	tests/test_rigid_alignment.py	Daiver/pygeom_tools	ed89d8cab2d5956c7c680da1ce6335f4c0a31c70	[ "MIT" ]	null	null	null	tests/test_rigid_alignment.py	Daiver/pygeom_tools	ed89d8cab2d5956c7c680da1ce6335f4c0a31c70	[ "MIT" ]	1	2021-06-24T08:34:56.000Z	2021-06-24T08:34:56.000Z	import unittest import numpy as np import geom_tools from geom_tools.rigid_alignment import find_rotation_and_translation, find_rotation_and_translation_weighted class TestRigidAlignment(unittest.TestCase): def test_find_rotation_and_translation01(self): src = [ [1, 0, 0], [0, 1,...	31.097674	108	0.495962	843	6,686	3.711744	0.09134	0.042186	0.027804	0.026846	0.838926	0.82007	0.772132	0.752956	0.747523	0.729626	0.087223	0.36554	6,686	214	109	31.242991	0.650401	0	0.665	0	0	0.001197	0	0	0	0	0.07	1	0.045	false	0	0.02	0	0.07	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
27e5c041207bc56a22072339e4cbf39e1270b3f2	233	py	Python	other-materials/python-intro/atom.py	inferential/drug-computing	25ff2f04b2a1f7cb71c552f62e722edb26cc297f	[ "CC-BY-4.0", "MIT" ]	103	2017-10-21T18:49:01.000Z	2022-03-24T22:05:21.000Z	other-materials/python-intro/atom.py	inferential/drug-computing	25ff2f04b2a1f7cb71c552f62e722edb26cc297f	[ "CC-BY-4.0", "MIT" ]	29	2017-10-23T20:57:17.000Z	2022-03-15T21:57:09.000Z	other-materials/python-intro/atom.py	inferential/drug-computing	25ff2f04b2a1f7cb71c552f62e722edb26cc297f	[ "CC-BY-4.0", "MIT" ]	36	2018-01-18T20:22:29.000Z	2022-03-16T13:08:09.000Z	class AtomClass: def __init__(self, Velocity, Element = 'C', Mass = 12.0): self.Velocity = Velocity self.Element = Element self.Mass = Mass def Momentum(self): return self.Velocity * self.Mass	29.125	61	0.613734	28	233	4.964286	0.464286	0.258993	0	0	0	0	0	0	0	0	0.017964	0.283262	233	7	62	33.285714	0.814371	0	0	0	0	0.004292	0	0	0	0	0	1	0.285714	false	0	0	0.142857	0.571429	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	6
fd6e3de023ed5b1f472af3d7c5768225c9479062	26	py	Python	drawer/__init__.py	neuralrefinery/nr-python-client	14d569721079bdf64ba86650cb0286dbcd02eda2	[ "CC0-1.0" ]	null	null	null	drawer/__init__.py	neuralrefinery/nr-python-client	14d569721079bdf64ba86650cb0286dbcd02eda2	[ "CC0-1.0" ]	null	null	null	drawer/__init__.py	neuralrefinery/nr-python-client	14d569721079bdf64ba86650cb0286dbcd02eda2	[ "CC0-1.0" ]	null	null	null	from .drawer import drawer	26	26	0.846154	4	26	5.5	0.75	0	0	0	0	0	0	0	0	0	0	0.115385	26	1	26	26	0.956522	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	0	null	0	0	0	0	1	0	1	0	1	0	6
e33099bf92e5833943ac56471e47ebe360d26b20	73	py	Python	saopy/tzont/__init__.py	CityPulse/CP_Resourcemanagement	aa670fa89d5e086a98ade3ccc152518be55abf2e	[ "MIT" ]	2	2016-11-03T14:57:45.000Z	2019-05-13T13:21:08.000Z	saopy/tzont/__init__.py	CityPulse/CP_Resourcemanagement	aa670fa89d5e086a98ade3ccc152518be55abf2e	[ "MIT" ]	null	null	null	saopy/tzont/__init__.py	CityPulse/CP_Resourcemanagement	aa670fa89d5e086a98ade3ccc152518be55abf2e	[ "MIT" ]	1	2020-07-23T11:27:15.000Z	2020-07-23T11:27:15.000Z	import saopy.model from saopy.model import tzont___TimeZone as TimeZone	18.25	52	0.849315	11	73	5.363636	0.636364	0.338983	0	0	0	0	0	0	0	0	0	0.123288	73	3	53	24.333333	0.921875	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	0	null	0	0	0	0	1	0	1	0	1	0	6
8b64196986c464a5aa54044db3ae11c428be7621	16,797	py	Python	applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/classDefs_solverWrapper/methodDefs_KratosSolverWrapper/mpi_solve.py	ma6yu/Kratos	02380412f8a833a2cdda6791e1c7f9c32e088530	[ "BSD-4-Clause" ]	null	null	null	applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/classDefs_solverWrapper/methodDefs_KratosSolverWrapper/mpi_solve.py	ma6yu/Kratos	02380412f8a833a2cdda6791e1c7f9c32e088530	[ "BSD-4-Clause" ]	null	null	null	applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/classDefs_solverWrapper/methodDefs_KratosSolverWrapper/mpi_solve.py	ma6yu/Kratos	02380412f8a833a2cdda6791e1c7f9c32e088530	[ "BSD-4-Clause" ]	null	null	null	# Import Python libraries import time import pickle import os try: from threadpoolctl import * except: pass # Import XMC, distributed environment from xmc.distributedEnvironmentFramework import * from xmc.classDefs_solverWrapper.methodDefs_KratosSolverWrapper.solve import ExecuteInstanceDeterministicAdaptiveRe...	76.69863	536	0.794547	1,902	16,797	6.494742	0.100946	0.026228	0.042095	0.0425	0.806849	0.785882	0.783211	0.756658	0.730106	0.721849	0.006048	0.074656	16,797	218	537	77.050459	0.788715	0.063821	0.565789	0	0	0.066103	0.024668	0	0	0	0	1	0.072368	false	0.006579	0.138158	0	0.282895	0.138158	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
8b7265568526c35191b0cede28aea96cf50c6844	124	py	Python	lab3/text_recognizer/lit_models/__init__.py	Agyey/fsdl-text-recognizer-2021-labs	4bd85042ab9f6decd78849bb655c197cc13ffc11	[ "MIT" ]	402	2021-01-18T12:14:08.000Z	2022-03-28T03:41:05.000Z	lab3/text_recognizer/lit_models/__init__.py	Agyey/fsdl-text-recognizer-2021-labs	4bd85042ab9f6decd78849bb655c197cc13ffc11	[ "MIT" ]	27	2021-01-21T01:54:30.000Z	2022-03-29T21:39:41.000Z	lab3/text_recognizer/lit_models/__init__.py	Agyey/fsdl-text-recognizer-2021-labs	4bd85042ab9f6decd78849bb655c197cc13ffc11	[ "MIT" ]	271	2021-01-21T18:07:24.000Z	2022-03-30T12:49:53.000Z	from .base import BaseLitModel # Hide lines below until Lab 3 from .ctc import CTCLitModel # Hide lines above until Lab 3	17.714286	30	0.774194	20	124	4.8	0.65	0.1875	0.1875	0	0	0	0	0	0	0	0.02	0.193548	124	6	31	20.666667	0.94	0.459677	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
8bce004b983cdd07f804f47b1734ffc4fc5d65ce	192	py	Python	crypto-cuck-coin-genesis.py	alexanderjsingleton/crypto-cuck-coin	1bb184eff82f3a541391663ebdf82740ac8577cf	[ "MIT" ]	3	2018-12-01T06:52:59.000Z	2020-02-13T17:30:07.000Z	crypto-cuck-coin-genesis.py	alexanderjsingleton/crypto-cuck-coin	1bb184eff82f3a541391663ebdf82740ac8577cf	[ "MIT" ]	null	null	null	crypto-cuck-coin-genesis.py	alexanderjsingleton/crypto-cuck-coin	1bb184eff82f3a541391663ebdf82740ac8577cf	[ "MIT" ]	null	null	null	import datetime as date def create_genesis_block(): # Manually construct a block with # index zero and arbitrary previous hash return Block(0, date.datetime.now(), "Genesis Block", "0")	32	60	0.744792	28	192	5.035714	0.75	0.170213	0	0	0	0	0	0	0	0	0.012422	0.161458	192	6	60	32	0.863354	0.364583	0	0	0	0.116667	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	0	null	0	0	0	1	1	0	1	1	0	0	6
8bdab21d22bccbf3db0fc329877db4c964bb5537	305	py	Python	runtests.py	Mishioo/tesliper	26857e1d46b309ea24ade01059fc92e3a192c471	[ "BSD-2-Clause" ]	1	2019-01-27T00:03:50.000Z	2019-01-27T00:03:50.000Z	runtests.py	Mishioo/tesliper	26857e1d46b309ea24ade01059fc92e3a192c471	[ "BSD-2-Clause" ]	null	null	null	runtests.py	Mishioo/tesliper	26857e1d46b309ea24ade01059fc92e3a192c471	[ "BSD-2-Clause" ]	null	null	null	from test.unit.extraction.gaussian_parser_test import * from test.unit.extraction.extraction_test import * from test.unit.glassware_test import * from test.unit.datawork_test import * from test.unit.writer_test import * from test.unit.tesliper_test import * if __name__ == '__main__': unittest.main()	33.888889	55	0.8	44	305	5.204545	0.340909	0.209607	0.31441	0.393013	0.480349	0	0	0	0	0	0	0.108197	305	9	56	33.888889	0.841912	0	0	0	0	0.026144	0	0	0	0	0	1	0	true	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	0	null	0	0	0	0	1	0	1	0	0	0	6
47494238acbbcaf60a4791356c76abac1e9f349d	79,447	py	Python	tests/app/views/test_buyers.py	pebblecode/cirrus-buyer-frontend	506c45eab09fa9538c0eb05643e24feecdcca56f	[ "MIT" ]	null	null	null	tests/app/views/test_buyers.py	pebblecode/cirrus-buyer-frontend	506c45eab09fa9538c0eb05643e24feecdcca56f	[ "MIT" ]	null	null	null	tests/app/views/test_buyers.py	pebblecode/cirrus-buyer-frontend	506c45eab09fa9538c0eb05643e24feecdcca56f	[ "MIT" ]	null	null	null	# coding: utf-8 from __future__ import unicode_literals from ...helpers import BaseApplicationTest from dmapiclient import api_stubs, HTTPError from dmutils.content_loader import ContentLoader import mock from lxml import html import pytest @mock.patch('app.buyers.views.buyers.data_api_client') class TestBuyerDashbo...	42.214134	145	0.622125	8,756	79,447	5.386364	0.052193	0.036809	0.068359	0.095923	0.894578	0.875644	0.866548	0.856901	0.846341	0.832496	0.019408	0.26648	79,447	1,881	146	42.236576	0.789639	0.008169	0.686324	0	0.017566	0.278262	0.187721	0	0	0	0.102258	1	0.053325	false	0	0.005646	0	0.069636	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
4774c5004900c2cf17d2ec3e2417bccb96e7d8e3	156	py	Python	libft/layers/__init__.py	kcosta42/Multilayer_Perceptron	51e2f9e0532c6e1e9b826b12171903b780e0ba4f	[ "MIT" ]	1	2020-09-26T10:40:45.000Z	2020-09-26T10:40:45.000Z	libft/layers/__init__.py	kcosta42/Multilayer_Perceptron	51e2f9e0532c6e1e9b826b12171903b780e0ba4f	[ "MIT" ]	null	null	null	libft/layers/__init__.py	kcosta42/Multilayer_Perceptron	51e2f9e0532c6e1e9b826b12171903b780e0ba4f	[ "MIT" ]	null	null	null	from libft.layers.dense import Dense from libft.layers.dropout import Dropout from libft.layers.input import Input __all__ = ['Dense', 'Dropout', 'Input']	26	40	0.775641	22	156	5.318182	0.363636	0.230769	0.384615	0	0	0	0	0	0	0	0	0.115385	156	5	41	31.2	0.847826	0	0	0	0	0.108974	0	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	6
478ca3cd22c91b846ba218186f1fda6eb6db009b	39	py	Python	autodeploy/loader/__init__.py	kartik4949/AutoDeploy	af7b3b32954a574307849ababb05fa2f4a80f52e	[ "MIT" ]	46	2021-08-11T12:24:15.000Z	2022-01-17T19:34:48.000Z	autodeploy/loader/__init__.py	kartik4949/AutoDeploy	af7b3b32954a574307849ababb05fa2f4a80f52e	[ "MIT" ]	17	2021-08-11T16:06:55.000Z	2021-10-05T09:44:57.000Z	autodeploy/loader/__init__.py	kartik4949/AutoDeploy	af7b3b32954a574307849ababb05fa2f4a80f52e	[ "MIT" ]	10	2021-08-11T15:57:29.000Z	2021-12-04T16:44:13.000Z	from ._model_loader import ModelLoader	19.5	38	0.871795	5	39	6.4	1	0	0	0	0	0	0	0	0	0	0	0.102564	39	1	39	39	0.914286	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	0	null	0	0	0	0	1	0	1	0	1	0	6
47abacbc35f7affcecbcb1f9d427052a0d05c0fe	42	py	Python	tests/conftest.py	tony/libvcs	05db3a77b53326502cbb5bc76e8a6985cd271182	[ "MIT" ]	35	2016-07-16T21:39:10.000Z	2017-11-24T02:52:13.000Z	tests/conftest.py	tony/libvcs	05db3a77b53326502cbb5bc76e8a6985cd271182	[ "MIT" ]	70	2016-06-20T06:45:12.000Z	2018-03-06T14:57:35.000Z	tests/conftest.py	tony/libvcs	05db3a77b53326502cbb5bc76e8a6985cd271182	[ "MIT" ]	2	2016-06-21T13:59:00.000Z	2017-05-12T17:49:45.000Z	from libvcs.conftest import * # noqa F40	21	41	0.738095	6	42	5.166667	1	0	0	0	0	0	0	0	0	0	0.058824	0.190476	42	1	42	42	0.852941	0.190476	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	0	null	0	0	0	0	1	0	1	0	1	0	6
9a14ab1f655bfde79e690e86d8dc662bc454a7f9	64	py	Python	multilingual_t5/baseline_hi/__init__.py	sumanthd17/mt5	c99b4e3ad1c69908c852c730a1323ccb52d48f58	[ "Apache-2.0" ]	null	null	null	multilingual_t5/baseline_hi/__init__.py	sumanthd17/mt5	c99b4e3ad1c69908c852c730a1323ccb52d48f58	[ "Apache-2.0" ]	null	null	null	multilingual_t5/baseline_hi/__init__.py	sumanthd17/mt5	c99b4e3ad1c69908c852c730a1323ccb52d48f58	[ "Apache-2.0" ]	null	null	null	"""baseline_hi dataset.""" from .baseline_hi import BaselineHi	16	35	0.765625	8	64	5.875	0.75	0.425532	0	0	0	0	0	0	0	0	0	0.109375	64	3	36	21.333333	0.824561	0.3125	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	0	null	0	0	0	0	1	0	1	0	1	0	6
9a22a59fd5981f5e8dfc76843d22235b0c0569f2	181	py	Python	models/rnn/__init__.py	pdeubel/world-models-testing	36f2baf79898452e677fe141f11ba434f92e9218	[ "MIT" ]	null	null	null	models/rnn/__init__.py	pdeubel/world-models-testing	36f2baf79898452e677fe141f11ba434f92e9218	[ "MIT" ]	null	null	null	models/rnn/__init__.py	pdeubel/world-models-testing	36f2baf79898452e677fe141f11ba434f92e9218	[ "MIT" ]	null	null	null	from models.rnn.base_rnn import BaseRNN, BaseMDNRNN, BaseSimpleRNN from models.rnn.mdn_rnn import StandardMDNRNN, MDNRNNWithBCE from models.rnn.lstm import LSTMWithBCE, LSTMWithMSE	45.25	66	0.856354	24	181	6.375	0.583333	0.196078	0.254902	0	0	0	0	0	0	0	0	0.088398	181	3	67	60.333333	0.927273	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
9a49db9af518a6bc0a0bbe357c509abc28bb297d	1,679	py	Python	main.py	feliphebueno/Tavern	d2026f8a28b898230a3c047be93b189f40305884	[ "MIT" ]	null	null	null	main.py	feliphebueno/Tavern	d2026f8a28b898230a3c047be93b189f40305884	[ "MIT" ]	null	null	null	main.py	feliphebueno/Tavern	d2026f8a28b898230a3c047be93b189f40305884	[ "MIT" ]	null	null	null	""" Project's entry-point """ import logging.config import os import json import yaml from tavern.core import run token = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE1MzI4MDU4MjYsImlzcyI6Ik9ueXhwcmV2IiwiZXhwIjoxNTMyODQ5MDI2LCJuYmYiOjE1MzI4MDU4MjUsImRhdGEiOnsiYXBwIjp7ImFwaUlkIjoiODNjYzEyYTVmY2M1IiwiYXBwQ29kIjoxMi...	55.966667	1,123	0.89994	88	1,679	17.034091	0.625	0.016011	0.018679	0.02535	0	0	0	0	0	0	0.078272	0.048839	1,679	29	1,124	57.896552	0.860363	0.030971	0	0	0	0.766523	0.70105	0	1	0	0	1	0	false	0.105263	0.263158	0	0.263158	0.052632	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	null	1	0	0	0	0	1	0	0	0	0	6
9a66978d4fea6ce59934d0b9d530cf6749d0f37d	386	py	Python	terrascript/provider/rancher2.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	507	2017-07-26T02:58:38.000Z	2022-01-21T12:35:13.000Z	terrascript/provider/rancher2.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	135	2017-07-20T12:01:59.000Z	2021-10-04T22:25:40.000Z	terrascript/provider/rancher2.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	81	2018-02-20T17:55:28.000Z	2022-01-31T07:08:40.000Z	# terrascript/provider/rancher2.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:25:37 UTC) # # For imports without namespace, e.g. # # >>> import terrascript.provider.rancher2 # # instead of # # >>> import terrascript.provider.rancher.rancher2 # # This is only available for 'official' and 'partner...	25.733333	73	0.748705	49	386	5.897959	0.714286	0.262976	0.186851	0.235294	0	0	0	0	0	0	0.047761	0.132124	386	14	74	27.571429	0.814925	0.797927	0	1	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
7bd51e3371ba8530272be9c8b4818d2e9097453f	161	py	Python	modernquiz/modernquiz/views.py	yuriymironov96/modernquiz-redone	e7b0cbe6ccdbe7fdec993d01d774e96887274184	[ "MIT" ]	null	null	null	modernquiz/modernquiz/views.py	yuriymironov96/modernquiz-redone	e7b0cbe6ccdbe7fdec993d01d774e96887274184	[ "MIT" ]	9	2017-11-18T14:16:11.000Z	2017-12-14T06:39:52.000Z	modernquiz/modernquiz/views.py	yuriymironov96/modernquiz-redone	e7b0cbe6ccdbe7fdec993d01d774e96887274184	[ "MIT" ]	null	null	null	from django.shortcuts import redirect from django.core.urlresolvers import reverse_lazy def redirect_to_home(request): return redirect(reverse_lazy('home'))	32.2	49	0.826087	22	161	5.863636	0.636364	0.155039	0	0	0	0	0	0	0	0	0	0.099379	161	5	50	32.2	0.889655	0	0	0	0	0.024691	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	0	null	0	0	0	1	0	0	1	1	1	0	6
7bf495220dca25ca1f3238aae36d671f73cb5c41	230,382	py	Python	llink/script/llink_gen.py	chipsalliance/aib-protocols	98858e6707f30ed6ea714598e3e324d754d82be0	[ "Apache-2.0" ]	11	2021-09-01T19:48:44.000Z	2022-03-10T16:13:59.000Z	llink/script/llink_gen.py	chipsalliance/aib-protocols	98858e6707f30ed6ea714598e3e324d754d82be0	[ "Apache-2.0" ]	86	2021-07-16T17:55:30.000Z	2022-03-23T20:18:23.000Z	llink/script/llink_gen.py	chipsalliance/aib-protocols	98858e6707f30ed6ea714598e3e324d754d82be0	[ "Apache-2.0" ]	4	2021-09-18T03:59:01.000Z	2022-01-30T09:14:37.000Z	############################################################ ## ## Copyright (C) 2021 Eximius Design ## ## ## 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....	66.125718	454	0.593002	27,564	230,382	4.583515	0.026955	0.045401	0.048979	0.023271	0.883853	0.843217	0.810646	0.761501	0.710511	0.679975	0.015521	0.257229	230,382	3,483	455	66.144703	0.722787	0.08982	0.533708	0	0.016453	0.288347	0.078558	0	0	0.000287	0	1	0.008026	false	0.000803	0.006019	0	0.020867	0.169342	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
d05ac23fa7dcc2d33d5b37d5d5ac2a64b1e1f1a0	43,183	py	Python	Bin/apropiacion.py	mfneirae/CvLAC-Complete	a7e4f3c93a3f22b732fbb4670fe294a9ec3030ab	[ "MIT" ]	1	2021-07-15T20:40:45.000Z	2021-07-15T20:40:45.000Z	Bin/apropiacion.py	mfneirae/CvLAC-Complete	a7e4f3c93a3f22b732fbb4670fe294a9ec3030ab	[ "MIT" ]	null	null	null	Bin/apropiacion.py	mfneirae/CvLAC-Complete	a7e4f3c93a3f22b732fbb4670fe294a9ec3030ab	[ "MIT" ]	3	2020-04-01T15:16:32.000Z	2021-07-15T21:01:07.000Z	# # # ############################################################################# # Copyright (c) 2018 Universidad Nacional de Colombia All Rights Reserved. # # This work was made as a development to improve data collection # for self-assessment and accreditation processes in the Vicedeanship ...	67.054348	413	0.447838	4,103	43,183	4.638557	0.078479	0.044136	0.045082	0.030895	0.801019	0.779739	0.765185	0.73513	0.730559	0.717055	0.017482	0.288655	43,183	643	414	67.158631	0.60209	0.021374	0.658333	0	0.006667	0.208469	0.095414	0	0	0	0	1	0.005	false	0.005	0.02	0	0.025	0.003333	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
d05c8d8b0b5e7ac5e270736ae84d4cc49f52efa5	33	py	Python	src_nlp/tensorflow/toward_control/vocab/imdb/__init__.py	ashishpatel26/finch	bf2958c0f268575e5d51ad08fbc08b151cbea962	[ "MIT" ]	1	2019-02-12T09:22:00.000Z	2019-02-12T09:22:00.000Z	src_nlp/tensorflow/toward_control/vocab/imdb/__init__.py	loopzxl/finch	bf2958c0f268575e5d51ad08fbc08b151cbea962	[ "MIT" ]	null	null	null	src_nlp/tensorflow/toward_control/vocab/imdb/__init__.py	loopzxl/finch	bf2958c0f268575e5d51ad08fbc08b151cbea962	[ "MIT" ]	1	2020-10-15T21:34:17.000Z	2020-10-15T21:34:17.000Z	from .imdb_vocab import IMDBVocab	33	33	0.878788	5	33	5.6	1	0	0	0	0	0	0	0	0	0	0	0.090909	33	1	33	33	0.933333	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	0	null	0	0	0	0	1	0	1	0	1	0	6
d07d0a776fb56851c974190631a3ab8fe5ce45c0	2,782	py	Python	tests/tensor/mul_test.py	kbrodt/tor4	d09740b746c534e67a72f492c7c03654f5888a46	[ "MIT" ]	null	null	null	tests/tensor/mul_test.py	kbrodt/tor4	d09740b746c534e67a72f492c7c03654f5888a46	[ "MIT" ]	null	null	null	tests/tensor/mul_test.py	kbrodt/tor4	d09740b746c534e67a72f492c7c03654f5888a46	[ "MIT" ]	null	null	null	from tor4 import tensor def test_tensor_mul_with_scalar(): a = tensor(data=[1, 2, 3]) am2 = a * 2 assert am2.tolist() == [2, 4, 6] assert not am2.requires_grad def test_tensor_rmul_with_scalar(): a = tensor(data=[1, 2, 3]) am3 = 3 * a assert am3.tolist() == [3, 6, 9] assert not am3...	26	75	0.57225	467	2,782	3.291221	0.094218	0.032531	0.035133	0.039037	0.802863	0.786597	0.731945	0.710475	0.649967	0.643461	0.077398	0.242991	2,782	106	76	26.245283	0.652422	0	0.5375	0	0	0	0	0	0	0	0.475	1	0.1125	false	0	0.0125	0	0.125	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	6
d0825522ea7c61126f8928391eb70a380b2dcfc1	28	py	Python	Python/Chapter6/package1/c4.py	MyHeartWillGoOnWendy/frontend-notes	40a823b968c91b7a2a40bbf17519ca23bdc1e215	[ "MIT" ]	8	2019-01-07T14:21:46.000Z	2020-05-29T07:33:40.000Z	Python/Chapter6/package1/c4.py	wkl007/frontend-notes	c8c5d2fd281a9353885548d57602641dd3820ae6	[ "MIT" ]	null	null	null	Python/Chapter6/package1/c4.py	wkl007/frontend-notes	c8c5d2fd281a9353885548d57602641dd3820ae6	[ "MIT" ]	4	2019-06-02T08:04:05.000Z	2021-12-22T05:39:46.000Z	import t print(t.sys.path)	7	17	0.714286	6	28	3.333333	0.833333	0	0	0	0	0	0	0	0	0	0	0.142857	28	3	18	9.333333	0.833333	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	6
d0e5b7f5656176d949dc4f1467de893f543272a1	242	py	Python	src/exceptions.py	Chisanan232/LWTs	da91a1636325f141a7b7f96132f2391a5e973549	[ "Apache-2.0" ]	1	2022-03-18T15:21:02.000Z	2022-03-18T15:21:02.000Z	src/exceptions.py	Chisanan232/LWTs	da91a1636325f141a7b7f96132f2391a5e973549	[ "Apache-2.0" ]	null	null	null	src/exceptions.py	Chisanan232/LWTs	da91a1636325f141a7b7f96132f2391a5e973549	[ "Apache-2.0" ]	null	null	null	class DeviceModelDoesnotExistException(Exception): def __str__(self): return "Target device model doesn't exist." class ParameterCannotBeNone(Exception): def __str__(self): return "Parameter cannot all be None."	18.615385	51	0.714876	25	242	6.6	0.76	0.145455	0.181818	0.230303	0.30303	0	0	0	0	0	0	0.206612	242	12	52	20.166667	0.859375	0	0.333333	0	0	0.2625	0	0	0	0	0	1	0.333333	false	0	0	0.333333	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	0	null	0	0	0	1	0	0	0	1	1	0	6
ef877f32f0711c105853e72a3f783372419f7222	217	py	Python	tests/test_signature.py	liushengli2020/AnEventApi	31f1fac2cefec82503f96ae520d9d156dcef49d6	[ "Apache-2.0" ]	null	null	null	tests/test_signature.py	liushengli2020/AnEventApi	31f1fac2cefec82503f96ae520d9d156dcef49d6	[ "Apache-2.0" ]	null	null	null	tests/test_signature.py	liushengli2020/AnEventApi	31f1fac2cefec82503f96ae520d9d156dcef49d6	[ "Apache-2.0" ]	null	null	null	from eventapp.services.signature_util import generate_signature def test_quit_event_failed(client, app): assert generate_signature('123','abc') == '8f16771f9f8851b26f4d460fa17de93e2711c7e51337cb8a608a0f81e1c1b6ae'	72.333333	112	0.857143	21	217	8.571429	0.857143	0.188889	0	0	0	0	0	0	0	0	0.216749	0.064516	217	3	112	72.333333	0.669951	0	0	1	0	0.321101	0.293578	0	0	0	0.333333	1	0.333333	false	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	1	0	0	0	null	0	0	0	1	0	0	1	0	0	0	6
4be623b445ec525331e29cad329516230bb52806	90	py	Python	Temp_F_to_C.py	juliaviolet/Python_Bootcamp_Jos-_Padilla	0a061283edcb7b33d5a7e165e8811ee61d694515	[ "MIT" ]	null	null	null	Temp_F_to_C.py	juliaviolet/Python_Bootcamp_Jos-_Padilla	0a061283edcb7b33d5a7e165e8811ee61d694515	[ "MIT" ]	null	null	null	Temp_F_to_C.py	juliaviolet/Python_Bootcamp_Jos-_Padilla	0a061283edcb7b33d5a7e165e8811ee61d694515	[ "MIT" ]	null	null	null	def to_celsius(x): return (x-32)*5/9 for x in range(0,101,10): print(x,to_celsius(x))	18	25	0.655556	21	90	2.714286	0.714286	0.315789	0.350877	0	0	0	0	0	0	0	0.12987	0.144444	90	4	26	22.5	0.61039	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0	0.25	0.5	0.25	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	0	0	6
4bec5d650297a051bcf67d0dfde5e15ac5c7b75c	248	py	Python	tools/esp_prov/security/__init__.py	fbucafusco/esp-idf	c2ccc383dae2a47c2c2dc8c7ad78175a3fd11361	[ "Apache-2.0" ]	null	null	null	tools/esp_prov/security/__init__.py	fbucafusco/esp-idf	c2ccc383dae2a47c2c2dc8c7ad78175a3fd11361	[ "Apache-2.0" ]	null	null	null	tools/esp_prov/security/__init__.py	fbucafusco/esp-idf	c2ccc383dae2a47c2c2dc8c7ad78175a3fd11361	[ "Apache-2.0" ]	null	null	null	# SPDX-FileCopyrightText: 2018-2022 Espressif Systems (Shanghai) CO LTD # SPDX-License-Identifier: Apache-2.0 # from .security0 import * # noqa: F403, F401 from .security1 import * # noqa: F403, F401 from .security2 import * # noqa: F403, F401	31	71	0.725806	33	248	5.454545	0.666667	0.166667	0.233333	0.3	0.244444	0	0	0	0	0	0.149038	0.16129	248	7	72	35.428571	0.716346	0.629032	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
4bedd61391cc20127dbffd9653579357f217fdd9	77	py	Python	Project_Codev0.1/Class-diagram_Classes/class User_Preference.py	cyberseihis/Wallsource	4bd981e75c3ebf97c9673ffb80147ef2bdf7d61a	[ "MIT" ]	null	null	null	Project_Codev0.1/Class-diagram_Classes/class User_Preference.py	cyberseihis/Wallsource	4bd981e75c3ebf97c9673ffb80147ef2bdf7d61a	[ "MIT" ]	null	null	null	Project_Codev0.1/Class-diagram_Classes/class User_Preference.py	cyberseihis/Wallsource	4bd981e75c3ebf97c9673ffb80147ef2bdf7d61a	[ "MIT" ]	null	null	null	class User_Preference: def __get__(self, name ): return self.name	25.666667	29	0.675325	10	77	4.7	0.8	0.340426	0	0	0	0	0	0	0	0	0	0.246753	77	3	30	25.666667	0.810345	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0.333333	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	0	null	0	0	0	1	0	0	0	1	1	0	6
4bff3034903b61ed6ec4f12df2b3fe0be1014015	65	py	Python	src/__init__.py	tbaudier/gaga	87ec65450b9048ddf87cfa22a53ecba12fd019bd	[ "Apache-2.0" ]	null	null	null	src/__init__.py	tbaudier/gaga	87ec65450b9048ddf87cfa22a53ecba12fd019bd	[ "Apache-2.0" ]	null	null	null	src/__init__.py	tbaudier/gaga	87ec65450b9048ddf87cfa22a53ecba12fd019bd	[ "Apache-2.0" ]	null	null	null	# import files from .gaga import * from .gaga_helpers import *	10.833333	27	0.723077	9	65	5.111111	0.555556	0.347826	0	0	0	0	0	0	0	0	0	0.2	65	5	28	13	0.884615	0.184615	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	0	null	0	0	0	0	1	0	1	0	1	0	6
ef6702ff39cc4b1869ac17f6bc76152290b0c4f8	210	py	Python	mtpm/utils/__init__.py	Gregory-Eales/mban	d8b35db51c7e601b1db777d9a80343600374250b	[ "Apache-2.0" ]	1	2021-04-01T13:56:38.000Z	2021-04-01T13:56:38.000Z	mtpm/utils/__init__.py	Gregory-Eales/multi-task-policy-modularization	d8b35db51c7e601b1db777d9a80343600374250b	[ "Apache-2.0" ]	null	null	null	mtpm/utils/__init__.py	Gregory-Eales/multi-task-policy-modularization	d8b35db51c7e601b1db777d9a80343600374250b	[ "Apache-2.0" ]	null	null	null	from .graph import * from .image import * from .dir import * from .log import * from .seed import * from .train_loop import * from .experiment_loop import * from .data import * from .multi_task_wrapper import *	23.333333	33	0.747619	31	210	4.935484	0.451613	0.522876	0.183007	0	0	0	0	0	0	0	0	0.166667	210	9	33	23.333333	0.874286	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	0	null	0	0	0	0	1	0	1	0	1	0	6
32272258671efe15d18cf721dc18d0f0eedf61f9	339	py	Python	Exercicios-mundo-3/desafio109/teste.py	talitadeoa/Exercicios-Python	6ffac5b403ef4636d8b7b37aba7998dade8a88b8	[ "MIT" ]	null	null	null	Exercicios-mundo-3/desafio109/teste.py	talitadeoa/Exercicios-Python	6ffac5b403ef4636d8b7b37aba7998dade8a88b8	[ "MIT" ]	null	null	null	Exercicios-mundo-3/desafio109/teste.py	talitadeoa/Exercicios-Python	6ffac5b403ef4636d8b7b37aba7998dade8a88b8	[ "MIT" ]	null	null	null	import moeda p = float(input('Digite o preço: R$')) print(f'A metade de {moeda.moeda(p)} é {moeda.metade(p,True)}') print(f'O dobro de {moeda.moeda(p)} é {moeda.dobro(p,True)}') print(f'Aumentado 13% de {moeda.moeda(p)}, temos {moeda.aumentar(p,13,True)}') print(f'Diminuindo 14% de {moeda.moeda(p)}, temos {moeda.dim...	37.666667	79	0.678466	63	339	3.650794	0.380952	0.130435	0.208696	0.226087	0.365217	0.365217	0	0	0	0	0.02623	0.100295	339	9	79	37.666667	0.727869	0	0	0	0.333333	0.764012	0.286136	0	0	0	0	1	0	false	0	0.166667	0	0.166667	0.666667	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	6
324713177bfed4170d705490d88d509ee01c5c89	27	py	Python	template.py	teetangh/Kaustav-Kaggle-Workspace	1f226b469cc20edb7bf6a2cbf024260e40ca8b18	[ "MIT" ]	null	null	null	template.py	teetangh/Kaustav-Kaggle-Workspace	1f226b469cc20edb7bf6a2cbf024260e40ca8b18	[ "MIT" ]	null	null	null	template.py	teetangh/Kaustav-Kaggle-Workspace	1f226b469cc20edb7bf6a2cbf024260e40ca8b18	[ "MIT" ]	null	null	null	print("This is a Template")	27	27	0.740741	5	27	4	1	0	0	0	0	0	0	0	0	0	0	0.111111	27	1	27	27	0.833333	0	0	0	0	0.642857	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	0	1	0	0	0	0	1	6
328ec1bff3706d0e39894795d1ff349214f7a3f2	165	py	Python	OmniDB/OmniDB_app/views/__init__.py	ziodave/OmniDB	27e857ec10c401ee16f85d8705db3bcdd4222aff	[ "MIT" ]	null	null	null	OmniDB/OmniDB_app/views/__init__.py	ziodave/OmniDB	27e857ec10c401ee16f85d8705db3bcdd4222aff	[ "MIT" ]	null	null	null	OmniDB/OmniDB_app/views/__init__.py	ziodave/OmniDB	27e857ec10c401ee16f85d8705db3bcdd4222aff	[ "MIT" ]	null	null	null	from . import login, connections, users, workspace, tree, tree_snippets, tree_postgresql, tree_oracle, tree_mysql, tree_mariadb, monitor_dashboard, plugins, polling	82.5	164	0.824242	21	165	6.190476	0.761905	0	0	0	0	0	0	0	0	0	0	0.09697	165	1	165	165	0.872483	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
32a626409791aaf66c11fea2190c048f3f2227d4	98	py	Python	search/tests.py	RossBrunton/BMAT	5e102935cc6166f4d8ea13051769787c47303153	[ "MIT" ]	null	null	null	search/tests.py	RossBrunton/BMAT	5e102935cc6166f4d8ea13051769787c47303153	[ "MIT" ]	47	2015-09-02T10:22:41.000Z	2021-06-10T19:15:00.000Z	search/tests.py	RossBrunton/BMAT	5e102935cc6166f4d8ea13051769787c47303153	[ "MIT" ]	null	null	null	from django.test import TestCase, Client from django.contrib.auth.models import User import json	19.6	43	0.826531	15	98	5.4	0.733333	0.246914	0	0	0	0	0	0	0	0	0	0.122449	98	4	44	24.5	0.94186	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	0	null	0	0	0	0	1	0	1	0	1	0	6
32a934d958e9e267a75747fc575dc868fbeeccb2	38	py	Python	jdaviz/configs/imviz/plugins/links_control/__init__.py	check-spelling/jdaviz	bfd0514d13bdc6fa0b8c8536a603293409270337	[ "MIT", "BSD-3-Clause" ]	55	2019-05-24T18:53:05.000Z	2022-03-14T08:45:52.000Z	jdaviz/configs/imviz/plugins/links_control/__init__.py	check-spelling/jdaviz	bfd0514d13bdc6fa0b8c8536a603293409270337	[ "MIT", "BSD-3-Clause" ]	1,105	2019-05-09T15:17:35.000Z	2022-03-31T21:22:18.000Z	jdaviz/configs/imviz/plugins/links_control/__init__.py	rosteen/jdaviz	e02c08d68ef71c5e40600785f46e65e5ae95e236	[ "MIT", "BSD-3-Clause" ]	49	2019-05-07T18:05:42.000Z	2022-03-22T15:15:34.000Z	from .links_control import * # noqa	19	37	0.710526	5	38	5.2	1	0	0	0	0	0	0	0	0	0	0	0.210526	38	1	38	38	0.866667	0.105263	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	0	null	0	0	0	0	1	0	1	0	1	0	6
32b250b7514ed4c2cb906a3570ba00587a51c3b9	32	py	Python	pynemo/core/base/model/__init__.py	SSripilaipong/pynemo	f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f	[ "MIT" ]	null	null	null	pynemo/core/base/model/__init__.py	SSripilaipong/pynemo	f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f	[ "MIT" ]	null	null	null	pynemo/core/base/model/__init__.py	SSripilaipong/pynemo	f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f	[ "MIT" ]	null	null	null	from .node import NodeModelBase	16	31	0.84375	4	32	6.75	1	0	0	0	0	0	0	0	0	0	0	0.125	32	1	32	32	0.964286	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	0	null	0	0	0	0	1	0	1	0	1	0	6
087ff6b94264780b84b0d85ecd99ae0971b7e0b8	13,235	py	Python	src/analysis_helper.py	augmento-ai/quant-reseach	6b3bc4c01a8d533dfa1826d59aa90fbc4c6f98cd	[ "MIT" ]	56	2019-06-14T18:05:28.000Z	2022-01-24T15:32:40.000Z	src/analysis_helper.py	augmento-ai/quant-reseach	6b3bc4c01a8d533dfa1826d59aa90fbc4c6f98cd	[ "MIT" ]	1	2020-04-01T09:31:04.000Z	2020-04-01T12:32:31.000Z	src/analysis_helper.py	augmento-ai/quant-reseach	6b3bc4c01a8d533dfa1826d59aa90fbc4c6f98cd	[ "MIT" ]	33	2019-06-19T13:27:31.000Z	2022-01-25T23:57:17.000Z	import numpy as np import numba as nb @nb.jit("(f8[:])(f8[:], f8[:])", nopython=True, nogil=True, cache=True) def nb_safe_divide(a, b): # divide each element in a by each element in b # if element b == 0.0, return element = 0.0 c = np.zeros(a.shape[0], dtype=np.float64) for i in range(a.shape[0]): if b[i] != 0....	34.646597	100	0.694371	2,317	13,235	3.752266	0.075097	0.009892	0.021739	0.020704	0.878652	0.854037	0.837359	0.829998	0.824707	0.807453	0.020446	0.175897	13,235	381	101	34.737533	0.776657	0.34031	0.596591	0	0	0.047233	0	0	0	0	0	1	0.102273	false	0	0.011364	0	0.215909	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
0897ac8d30a10c6801761a0537049ba99f80a78b	130	py	Python	leo/test/unittest/at-path-test2.py	ATikhonov2/leo-editor	225aac990a9b2804aaa9dea29574d6e072e30474	[ "MIT" ]	2	2020-01-19T18:11:05.000Z	2020-01-19T18:12:07.000Z	leo/test/unittest/at-path-test2.py	ATikhonov2/leo-editor	225aac990a9b2804aaa9dea29574d6e072e30474	[ "MIT" ]	1	2020-01-15T01:57:04.000Z	2020-01-15T01:57:04.000Z	leo/test/unittest/at-path-test2.py	ATikhonov2/leo-editor	225aac990a9b2804aaa9dea29574d6e072e30474	[ "MIT" ]	null	null	null	#@+leo-ver=5-thin #@+node:ekr.20120228145505.4841: * @thin at-path-test2.py #@@language python # unittest/at-path-test2.py #@-leo	21.666667	57	0.7	21	130	4.333333	0.714286	0.131868	0.241758	0.285714	0	0	0	0	0	0	0.175	0.076923	130	5	58	26	0.583333	0.923077	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	6
08c0e4b1a24ff06b1927f74ae22be97bc5c81a4b	51	py	Python	Analysis/__init__.py	ahmadryan/TurbAn	b8866d103a2ca2f5fbad73bcd4416f19299f22b2	[ "BSD-2-Clause-Patent" ]	null	null	null	Analysis/__init__.py	ahmadryan/TurbAn	b8866d103a2ca2f5fbad73bcd4416f19299f22b2	[ "BSD-2-Clause-Patent" ]	null	null	null	Analysis/__init__.py	ahmadryan/TurbAn	b8866d103a2ca2f5fbad73bcd4416f19299f22b2	[ "BSD-2-Clause-Patent" ]	10	2019-03-22T15:30:12.000Z	2021-02-10T02:55:50.000Z	from . import Simulations from . import TimeSeries	17	25	0.803922	6	51	6.833333	0.666667	0.487805	0	0	0	0	0	0	0	0	0	0.156863	51	2	26	25.5	0.953488	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	0	null	0	0	0	0	1	0	1	0	1	0	6
3eb76f4c89e63d51da9a625483cad9361a9cbfe3	79	py	Python	darwinpush/__init__.py	fasteroute/darwinpush	c919049e076cbdf61007fc9cc1c5a0271cde7929	[ "Apache-2.0" ]	3	2015-08-15T15:38:06.000Z	2019-08-06T11:09:32.000Z	darwinpush/__init__.py	grundleborg/darwinpush	c919049e076cbdf61007fc9cc1c5a0271cde7929	[ "Apache-2.0" ]	34	2015-07-22T13:47:16.000Z	2015-08-12T17:40:23.000Z	darwinpush/__init__.py	grundleborg/darwinpush	c919049e076cbdf61007fc9cc1c5a0271cde7929	[ "Apache-2.0" ]	1	2015-08-30T15:26:24.000Z	2015-08-30T15:26:24.000Z	from darwinpush.client import Client from darwinpush.listener import Listener	19.75	40	0.860759	10	79	6.8	0.5	0.411765	0	0	0	0	0	0	0	0	0	0.113924	79	3	41	26.333333	0.971429	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	0	null	0	0	0	0	1	0	1	0	1	0	6
3ed12b82c6539de77044647c95b5edac683366a1	185	py	Python	app/routes/__init__.py	Hoybaby/Python-Project1	33336c7303fa4397d3db9d511d1104f01ab32363	[ "MIT" ]	null	null	null	app/routes/__init__.py	Hoybaby/Python-Project1	33336c7303fa4397d3db9d511d1104f01ab32363	[ "MIT" ]	5	2021-03-13T21:40:51.000Z	2021-03-17T04:36:19.000Z	app/routes/__init__.py	Hoybaby/python-newsfeed	33336c7303fa4397d3db9d511d1104f01ab32363	[ "MIT" ]	null	null	null	from .home import bp as home from .dashboard import bp as dashboard from .api import bp as api # the .home syntax direct the program to find the module name home then import BP routes.	37	89	0.778378	34	185	4.235294	0.5	0.222222	0.208333	0	0	0	0	0	0	0	0	0.189189	185	4	90	46.25	0.96	0.47027	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	0	null	0	0	0	0	1	0	1	0	1	0	6
eb0492803526a96f8ae0fbb2042c0b01d2ed476f	620	py	Python	tests/test_utils.py	RustyBower/PoshC2	6cc2675aae59a7000d558a113f6db0d09bba3736	[ "BSD-3-Clause" ]	null	null	null	tests/test_utils.py	RustyBower/PoshC2	6cc2675aae59a7000d558a113f6db0d09bba3736	[ "BSD-3-Clause" ]	null	null	null	tests/test_utils.py	RustyBower/PoshC2	6cc2675aae59a7000d558a113f6db0d09bba3736	[ "BSD-3-Clause" ]	null	null	null	import pytest from poshc2.Utils import validate_sleep_time def test_validate_sleep_time(): assert validate_sleep_time("5h") is not None assert validate_sleep_time("4m") is not None assert validate_sleep_time("3s ") is not None assert validate_sleep_time(" 5000h ") is not None assert validate_slee...	36.470588	53	0.748387	96	620	4.552083	0.229167	0.386728	0.505721	0.578947	0.71167	0.71167	0.512586	0.212815	0.212815	0.212815	0.033333	0.177419	620	17	54	36.470588	0.823529	0	0.142857	0	0	0.057971	0	0	0	0	0.785714	1	0.071429	true	0	0.142857	0	0.214286	0	0	0	0	null	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	0	0	0	0	6
eb13414f089f2dda50f397a346ac462c8dfe14d6	68	py	Python	source/utils/bp4dbg/adios2/bp4dbg/__init__.py	yunai2384/ADIOS2	c88fd748720dfdfb0d7f8a529d7838ea86ecfa65	[ "ECL-2.0", "Apache-2.0" ]	190	2017-04-05T20:16:22.000Z	2022-03-30T20:26:01.000Z	source/utils/bp4dbg/adios2/bp4dbg/__init__.py	yunai2384/ADIOS2	c88fd748720dfdfb0d7f8a529d7838ea86ecfa65	[ "ECL-2.0", "Apache-2.0" ]	1,514	2017-02-03T16:19:17.000Z	2022-03-29T16:36:48.000Z	source/utils/bp4dbg/adios2/bp4dbg/__init__.py	yunai2384/ADIOS2	c88fd748720dfdfb0d7f8a529d7838ea86ecfa65	[ "ECL-2.0", "Apache-2.0" ]	114	2016-12-06T16:47:45.000Z	2022-02-01T19:56:01.000Z	from .data import * from .idxtable import * from .metadata import *	17	23	0.735294	9	68	5.555556	0.555556	0.4	0	0	0	0	0	0	0	0	0	0.176471	68	3	24	22.666667	0.892857	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	0	null	0	0	0	0	1	0	1	0	1	0	6
eb308f9e04b38457f8d85407e08b4afc6e1811ef	129	py	Python	core/models/__init__.py	darakudou/setlist_forecast	21bcad5b86be84223ae9c643552cdcb9d58bb9c2	[ "MIT" ]	null	null	null	core/models/__init__.py	darakudou/setlist_forecast	21bcad5b86be84223ae9c643552cdcb9d58bb9c2	[ "MIT" ]	null	null	null	core/models/__init__.py	darakudou/setlist_forecast	21bcad5b86be84223ae9c643552cdcb9d58bb9c2	[ "MIT" ]	null	null	null	from .idol import * from .music import * from .tweet import * from .calender import * from .live import * from .setlist import *	18.428571	23	0.72093	18	129	5.166667	0.444444	0.537634	0	0	0	0	0	0	0	0	0	0.186047	129	6	24	21.5	0.885714	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	0	null	0	0	0	0	1	0	1	0	1	0	6
de3c21b3902b3e3e73de21e84ca913a62a69a202	41	py	Python	cpgames/modules/core/ski/__init__.py	Wasabii88/Games	33262ca1958207a24e57e3532feded7e275b1dd1	[ "MIT" ]	1	2022-01-09T03:06:46.000Z	2022-01-09T03:06:46.000Z	cpgames/modules/core/ski/__init__.py	beiwei365/Games	f6499f378802d3212a08aeca761191b58714b7f0	[ "MIT" ]	null	null	null	cpgames/modules/core/ski/__init__.py	beiwei365/Games	f6499f378802d3212a08aeca761191b58714b7f0	[ "MIT" ]	null	null	null	'''initialize''' from .ski import SkiGame	20.5	24	0.731707	5	41	6	1	0	0	0	0	0	0	0	0	0	0	0.097561	41	2	24	20.5	0.810811	0.243902	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	0	null	0	0	0	0	1	0	1	0	1	0	6
de572abbf75e1f871aff8bcdd9231d802598c095	222	py	Python	monero_glue/compat/gc.py	ph4r05/monero-agent	0bac0e6f33142b2bb885565bfd1ef8ac04559280	[ "MIT" ]	20	2018-04-05T22:06:10.000Z	2021-09-18T10:43:44.000Z	monero_glue/compat/gc.py	ph4r05/monero-agent	0bac0e6f33142b2bb885565bfd1ef8ac04559280	[ "MIT" ]	null	null	null	monero_glue/compat/gc.py	ph4r05/monero-agent	0bac0e6f33142b2bb885565bfd1ef8ac04559280	[ "MIT" ]	5	2018-08-06T15:06:04.000Z	2021-07-16T01:58:43.000Z	#!/usr/bin/env python # -- coding: utf-8 -- # Author: Dusan Klinec, ph4r05, 2018 def collect(args, kwargs): pass def mem_free(args, *kwargs): return 1000 def mem_alloc(args, **kwargs): return 100	13.875	36	0.621622	31	222	4.387097	0.741935	0.220588	0.235294	0	0	0	0	0	0	0	0.084746	0.202703	222	15	37	14.8	0.683616	0.346847	0	0	0	0	0	0	0	0	0	1	0.5	true	0.166667	0	0.333333	0.833333	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	1	0	0	6
deb2fc3ce955c69b8956358fde1af9c73b549f7d	4,807	py	Python	ibm_whcs_sdk/insights_for_medical_literature/__init__.py	paul-felt/whcs-python-sdk	4b668a9f2d60b89c133adee644d1b5ff25b41228	[ "Apache-2.0" ]	5	2020-04-09T14:50:01.000Z	2022-01-10T23:27:33.000Z	ibm_whcs_sdk/insights_for_medical_literature/__init__.py	paul-felt/whcs-python-sdk	4b668a9f2d60b89c133adee644d1b5ff25b41228	[ "Apache-2.0" ]	21	2020-04-08T10:43:57.000Z	2021-12-03T21:48:29.000Z	ibm_whcs_sdk/insights_for_medical_literature/__init__.py	paul-felt/whcs-python-sdk	4b668a9f2d60b89c133adee644d1b5ff25b41228	[ "Apache-2.0" ]	6	2020-04-08T18:28:03.000Z	2021-04-05T16:37:45.000Z	# Copyright 2018 IBM 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 required by applicable law or agreed t...	57.22619	85	0.898689	644	4,807	6.279503	0.217391	0.204748	0.255935	0.375371	0.682493	0.682493	0.682493	0	0	0	0.017615	0.078843	4,807	83	86	57.915663	0.895664	0.129811	0	0	0	0	0	0	0	0	0	1	0	true	0.044118	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
724a971c225812f89543b939b7a66083af18e5f1	27	py	Python	src/tfluna/__init__.py	clementnuss/tfluna-python	7f4588c1ce270447fc026d927e06789f06da0c76	[ "MIT" ]	1	2021-05-24T12:29:15.000Z	2021-05-24T12:29:15.000Z	src/tfluna/__init__.py	clementnuss/tfluna-python	7f4588c1ce270447fc026d927e06789f06da0c76	[ "MIT" ]	null	null	null	src/tfluna/__init__.py	clementnuss/tfluna-python	7f4588c1ce270447fc026d927e06789f06da0c76	[ "MIT" ]	1	2021-05-24T12:32:02.000Z	2021-05-24T12:32:02.000Z	from .tfluna import TfLuna	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	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	0	null	0	0	0	0	1	0	1	0	1	0	6
a0e3c9874a39deb6444b03eec71ff0fb4184f31b	72	py	Python	continual_learning/eval/metrics/__init__.py	jaryP/ContinualAI	7d9b7614066d219ebd72049692da23ad6ec132b0	[ "MIT" ]	null	null	null	continual_learning/eval/metrics/__init__.py	jaryP/ContinualAI	7d9b7614066d219ebd72049692da23ad6ec132b0	[ "MIT" ]	null	null	null	continual_learning/eval/metrics/__init__.py	jaryP/ContinualAI	7d9b7614066d219ebd72049692da23ad6ec132b0	[ "MIT" ]	null	null	null	from .base import ClassificationMetric, ContinualLearningMetric, Metric	36	71	0.875	6	72	10.5	1	0	0	0	0	0	0	0	0	0	0	0.083333	72	1	72	72	0.954545	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	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	0	null	0	0	0	0	1	0	1	0	1	0	6
a0ef35d15d21a7df0e4c0c4595fa7eed92c29a4a	47	py	Python	nam/models/activation/__init__.py	mrahman93/nam	1a2f286a87ffa024040e3330088b4a375700c1c6	[ "MIT" ]	15	2021-03-26T16:00:44.000Z	2022-03-26T07:43:10.000Z	src/baseline/nam/models/activation/__init__.py	fau-is/gam_comparison	c47e8f8ced281e0a71b7959a211cb5b289ac7606	[ "MIT" ]	6	2021-01-03T22:55:54.000Z	2022-03-11T02:50:38.000Z	src/baseline/nam/models/activation/__init__.py	fau-is/gam_comparison	c47e8f8ced281e0a71b7959a211cb5b289ac7606	[ "MIT" ]	9	2021-02-08T18:45:52.000Z	2022-03-18T19:42:57.000Z	from .exu import ExU from .relu import LinReLU	15.666667	25	0.787234	8	47	4.625	0.625	0	0	0	0	0	0	0	0	0	0	0.170213	47	2	26	23.5	0.948718	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	0	null	0	0	0	0	1	0	1	0	1	0	6
a0fc2357e36f3822593fc1ed854c0204525f5fcb	46,407	py	Python	mabs/utils/reproblems.py	ryanstwrt/multi_agent_blackboard_system	b8f6ab71dfe0742a6f690de19b97d10504fc1768	[ "MIT" ]	1	2021-08-02T10:29:35.000Z	2021-08-02T10:29:35.000Z	mabs/utils/reproblems.py	ryanstwrt/multi_agent_blackboard_system	b8f6ab71dfe0742a6f690de19b97d10504fc1768	[ "MIT" ]	10	2020-03-14T07:39:34.000Z	2021-11-03T22:55:28.000Z	mabs/utils/reproblems.py	ryanstwrt/multi_agent_blackboard_system	b8f6ab71dfe0742a6f690de19b97d10504fc1768	[ "MIT" ]	1	2021-07-18T14:43:10.000Z	2021-07-18T14:43:10.000Z	#!/usr/bin/env python """ A real-world multi-objective problem suite (the RE benchmark set) Reference: Ryoji Tanabe, Hisao Ishibuchi, "An Easy-to-use Real-world Multi-objective Problem Suite" Applied Soft Computing. 89: 106078 (2020) Copyright (c) 2020 Ryoji Tanabe I re-implemented the RE problem set by ref...	36.369122	536	0.483203	7,362	46,407	2.967672	0.091687	0.041651	0.042796	0.046686	0.788539	0.782406	0.740663	0.721668	0.710134	0.705969	0.186441	0.353804	46,407	1,276	537	36.369122	0.542117	0.080419	0.759507	0	0	0.004889	0	0	0	0	0	1	0.05036	false	0	0.002056	0	0.102775	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
19db0aca374fded6aea18efcee5e860c5595c849	4,059	py	Python	tests/test_urls_endpoints.py	victorskl/gen3-indexd	c22ffb1f1472e0732d3b44cd39b1241ff8156cc6	[ "Apache-2.0" ]	11	2018-05-31T06:29:44.000Z	2020-10-21T14:09:36.000Z	tests/test_urls_endpoints.py	victorskl/gen3-indexd	c22ffb1f1472e0732d3b44cd39b1241ff8156cc6	[ "Apache-2.0" ]	171	2017-11-13T16:56:35.000Z	2022-03-29T19:37:35.000Z	tests/test_urls_endpoints.py	victorskl/gen3-indexd	c22ffb1f1472e0732d3b44cd39b1241ff8156cc6	[ "Apache-2.0" ]	25	2018-03-06T19:03:24.000Z	2021-11-27T19:39:49.000Z	import random import pytest from tests.test_client import get_doc @pytest.fixture(scope="function") def test_data(client, user): system_random = random.SystemRandom() url_x_count = system_random.randint(2, 5) url_x_type = url_x_count url_x = "s3://awesome-x/bucket/key" versioned_count = system_r...	31.465116	89	0.660261	579	4,059	4.392055	0.129534	0.081793	0.071569	0.089658	0.854109	0.833661	0.804168	0.745969	0.721589	0.714117	0.019017	0.222715	4,059	128	90	31.710938	0.787005	0.082286	0.606742	0	0.044944	0.160262	0.130281	0	0	0	0.269663	1	0.033708	false	0	0.033708	0	0.078652	0.089888	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
19eee05fd1b7f614b250386649f3a046fa4ede59	45	py	Python	carsus/io/kurucz/__init__.py	parikshit14/carsus	3f67e8068829829361d7b1da9020e1fde9dcac2e	[ "BSD-3-Clause" ]	21	2016-06-01T16:12:03.000Z	2022-02-04T09:03:38.000Z	carsus/io/kurucz/__init__.py	parikshit14/carsus	3f67e8068829829361d7b1da9020e1fde9dcac2e	[ "BSD-3-Clause" ]	149	2016-05-03T17:50:42.000Z	2022-03-25T14:48:51.000Z	carsus/io/kurucz/__init__.py	parikshit14/carsus	3f67e8068829829361d7b1da9020e1fde9dcac2e	[ "BSD-3-Clause" ]	34	2016-05-03T16:39:11.000Z	2022-02-03T16:39:49.000Z	from .gfall import GFALLReader, GFALLIngester	45	45	0.866667	5	45	7.8	1	0	0	0	0	0	0	0	0	0	0	0.088889	45	1	45	45	0.95122	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	0	null	0	0	0	0	1	0	1	0	1	0	6
df9fae53d97b2763e95c92f4276f8e2ccf159e28	163	py	Python	blog/admin.py	netocraft/web-netocraft	87e35ea1ea23b8a75eeabb33fc10aac57cccb2ac	[ "Unlicense" ]	null	null	null	blog/admin.py	netocraft/web-netocraft	87e35ea1ea23b8a75eeabb33fc10aac57cccb2ac	[ "Unlicense" ]	null	null	null	blog/admin.py	netocraft/web-netocraft	87e35ea1ea23b8a75eeabb33fc10aac57cccb2ac	[ "Unlicense" ]	null	null	null	from django.contrib import admin from .models import Post, Profile, Relacion admin.site.register(Post) admin.site.register(Profile) admin.site.register(Relacion)	23.285714	43	0.815951	23	163	5.782609	0.478261	0.203008	0.383459	0	0	0	0	0	0	0	0	0.08589	163	6	44	27.166667	0.892617	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
dfee6cca1d75f229a1c3968fa75634388ce223f1	32	py	Python	python/lib/flight_recorder/__init__.py	ajragusa/OpenFlow-Flight-Recorder	437fbdf72fe18aa9af020630fa46e3f801adb59f	[ "Apache-2.0" ]	null	null	null	python/lib/flight_recorder/__init__.py	ajragusa/OpenFlow-Flight-Recorder	437fbdf72fe18aa9af020630fa46e3f801adb59f	[ "Apache-2.0" ]	null	null	null	python/lib/flight_recorder/__init__.py	ajragusa/OpenFlow-Flight-Recorder	437fbdf72fe18aa9af020630fa46e3f801adb59f	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/python import mongo	8	17	0.71875	5	32	4.6	1	0	0	0	0	0	0	0	0	0	0	0.125	32	3	18	10.666667	0.821429	0.5	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	0	null	0	0	0	0	1	0	1	0	1	0	6
dff865151655263c0851cf98b07e4c00487a7d92	72	py	Python	apex_utils/apex/__init__.py	ViugiNick/sentiment-discovery	c781b1236a52a981af40733de13ea1598d4255d9	[ "BSD-3-Clause" ]	1	2018-10-16T10:56:47.000Z	2018-10-16T10:56:47.000Z	apex_utils/apex/__init__.py	atsnova/sentiment-discovery	7f5ab28918a6fc29318a30f557b9454f0f5cc26a	[ "BSD-3-Clause" ]	null	null	null	apex_utils/apex/__init__.py	atsnova/sentiment-discovery	7f5ab28918a6fc29318a30f557b9454f0f5cc26a	[ "BSD-3-Clause" ]	1	2019-03-13T11:43:13.000Z	2019-03-13T11:43:13.000Z	from . import RNN from . import reparameterization #from . import utils	18	32	0.777778	9	72	6.222222	0.555556	0.535714	0	0	0	0	0	0	0	0	0	0.166667	72	3	33	24	0.933333	0.263889	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	0	null	0	0	0	0	1	0	1	0	1	0	6
5f04a82b7a12234e59d660fa5330cb058565f182	49	py	Python	inferlo/interop/__init__.py	InferLO/inferlo	a65efce721d7f99d2f274dd94a1aaf7ca159e944	[ "Apache-2.0" ]	1	2022-01-27T18:44:07.000Z	2022-01-27T18:44:07.000Z	inferlo/interop/__init__.py	InferLO/inferlo	a65efce721d7f99d2f274dd94a1aaf7ca159e944	[ "Apache-2.0" ]	3	2022-01-23T18:02:30.000Z	2022-01-27T23:10:51.000Z	inferlo/interop/__init__.py	InferLO/inferlo	a65efce721d7f99d2f274dd94a1aaf7ca159e944	[ "Apache-2.0" ]	1	2021-09-03T06:12:57.000Z	2021-09-03T06:12:57.000Z	from .libdai.libdai_interop import LibDaiInterop	24.5	48	0.877551	6	49	7	0.833333	0	0	0	0	0	0	0	0	0	0	0.081633	49	1	49	49	0.933333	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	0	null	0	0	0	0	1	0	1	0	1	0	6
a054f6a58f3694fb4eafcb7758f9c2e1b97db060	190	py	Python	text.py	zachmerrill/pyrdle	573035cecbe3ee5cae36562a2e3b53ea4f2950a0	[ "MIT" ]	null	null	null	text.py	zachmerrill/pyrdle	573035cecbe3ee5cae36562a2e3b53ea4f2950a0	[ "MIT" ]	null	null	null	text.py	zachmerrill/pyrdle	573035cecbe3ee5cae36562a2e3b53ea4f2950a0	[ "MIT" ]	null	null	null	class Text(): RED = "\033[1;31;1m" GREEN = '\033[1;32;1m' YELLOW = '\033[1;33;1m' UNDERLINE = '\033[4m' def apply(str, format): return(format + str + '\033[0m')	21.111111	40	0.515789	29	190	3.37931	0.655172	0.122449	0	0	0	0	0	0	0	0	0.208633	0.268421	190	8	41	23.75	0.496403	0	0	0	0	0.263158	0	0	0	0	0	1	0.142857	false	0	0	0.142857	0.857143	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	1	0	6
a0a8199f74e27a27e32250a2c661d417ee347afc	38	py	Python	perses/bias/__init__.py	schallerdavid/perses	58bd6e626e027879e136f56e175683893e016f8c	[ "MIT" ]	99	2016-01-19T18:10:37.000Z	2022-03-26T02:43:08.000Z	perses/bias/__init__.py	schallerdavid/perses	58bd6e626e027879e136f56e175683893e016f8c	[ "MIT" ]	878	2015-09-18T19:25:30.000Z	2022-03-31T02:33:04.000Z	perses/bias/__init__.py	schallerdavid/perses	58bd6e626e027879e136f56e175683893e016f8c	[ "MIT" ]	30	2015-09-21T15:26:35.000Z	2022-01-10T20:07:24.000Z	from perses.bias.bias_engine import *	19	37	0.815789	6	38	5	0.833333	0	0	0	0	0	0	0	0	0	0	0.105263	38	1	38	38	0.882353	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	0	null	0	0	0	0	1	0	1	0	1	0	6
2655acfcc3779e4b713b207120598cd7e55c1f55	183	py	Python	examples/underscored/if_expr.py	doboy/Underscore	d98273db3144cda79191d2c90f45d81b6d700b1f	[ "MIT" ]	7	2016-09-23T00:44:05.000Z	2021-10-04T21:19:12.000Z	examples/underscored/if_expr.py	jameswu1991/Underscore	d98273db3144cda79191d2c90f45d81b6d700b1f	[ "MIT" ]	1	2016-09-23T00:45:05.000Z	2019-02-16T19:05:37.000Z	examples/underscored/if_expr.py	jameswu1991/Underscore	d98273db3144cda79191d2c90f45d81b6d700b1f	[ "MIT" ]	3	2016-09-23T01:13:15.000Z	2018-07-20T21:22:17.000Z	# print(3 if False else 5 if True else 5) # print(3 if True else 5) (___, ____) = (3, 5) (_, __) = (False, True) print ___ if _ else ____ if __ else ____ print ___ if __ else ____	22.875	42	0.644809	28	183	3.035714	0.25	0.176471	0.188235	0.258824	0	0	0	0	0	0	0.050725	0.245902	183	7	43	26.142857	0.565217	0.349727	0	0	0	0	0	0	0	0	0	0	null	null	0	0	null	null	0.5	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	1	6
cd5039f2e87fc3585f066cdff018fb581e015680	26	py	Python	utils/models/vnet/__init__.py	bhklab/ptl-oar-segmentation	354c3ee7f042a025f74e210a7b8462beac9b727d	[ "Apache-2.0" ]	3	2022-01-18T19:25:46.000Z	2022-02-05T18:53:24.000Z	utils/models/vnet/__init__.py	bhklab/ptl-oar-segmentation	354c3ee7f042a025f74e210a7b8462beac9b727d	[ "Apache-2.0" ]	null	null	null	utils/models/vnet/__init__.py	bhklab/ptl-oar-segmentation	354c3ee7f042a025f74e210a7b8462beac9b727d	[ "Apache-2.0" ]	null	null	null	from .model import VNet3D	13	25	0.807692	4	26	5.25	1	0	0	0	0	0	0	0	0	0	0.045455	0.153846	26	1	26	26	0.909091	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	0	null	0	0	0	0	1	0	1	0	1	0	6
cd6326eea52f1280b2978f885564e60a956b3dbb	4,169	py	Python	numlab/builtin/nl_float.py	jmorgadov/NumLab	96a3771837b87132674e65ec3bb1f0ab5f5f089f	[ "MIT" ]	9	2022-01-19T22:40:58.000Z	2022-02-24T02:39:51.000Z	numlab/builtin/nl_float.py	jmorgadov/NumLab	96a3771837b87132674e65ec3bb1f0ab5f5f089f	[ "MIT" ]	41	2021-11-09T18:22:10.000Z	2022-02-06T19:04:23.000Z	numlab/builtin/nl_float.py	jmorgadov/NumLab	96a3771837b87132674e65ec3bb1f0ab5f5f089f	[ "MIT" ]	null	null	null	import numlab.exceptions as excpt from numlab.lang.type import Instance, Type nl_bool = Type.get("bool") nl_str = Type.get("str") nl_int = Type.get("int") nl_float = Type.get("float") @nl_float.method("__new__") def nl__new__(value: float): _inst = Instance(nl_float) _inst.set("value", float(value)) retu...	30.430657	73	0.694651	614	4,169	4.381107	0.091205	0.088476	0.091822	0.09368	0.80632	0.80632	0.797398	0.797398	0.783643	0.783643	0.000282	0.149676	4,169	136	74	30.654412	0.758533	0	0.329897	0	0	0.187335	0	0	0	0	0	1	0.195876	false	0	0.020619	0.041237	0.412371	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
cd8c0526118e240bd53b4ac841a553998f597dbf	114	py	Python	galaxies/__init__.py	philrosenfield/ResolvedStellarPops	ab24083ae5080545165ccf7589d5a22c7989ce75	[ "BSD-3-Clause" ]	null	null	null	galaxies/__init__.py	philrosenfield/ResolvedStellarPops	ab24083ae5080545165ccf7589d5a22c7989ce75	[ "BSD-3-Clause" ]	null	null	null	galaxies/__init__.py	philrosenfield/ResolvedStellarPops	ab24083ae5080545165ccf7589d5a22c7989ce75	[ "BSD-3-Clause" ]	null	null	null	from .galaxies import * from .galaxy import * from .simgalaxy import * from .starpop import * from .asts import *	19	24	0.736842	15	114	5.6	0.466667	0.47619	0	0	0	0	0	0	0	0	0	0.175439	114	5	25	22.8	0.893617	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	0	null	0	0	0	0	1	0	1	0	1	0	6
26aeefdeb957d1c03fe74be87e56e607bab2767a	27	py	Python	application/controllers/admin/content/__init__.py	mutalisk999/bibi	2e0043d207c83ef7fc55d20b9c0a1b7e493a551c	[ "Apache-2.0" ]	1,037	2017-03-24T11:18:55.000Z	2022-03-19T14:02:27.000Z	application/controllers/admin/content/__init__.py	spacecode-live/An-e-commerce-fullstack-solution-for-Flask-	28130a18a73afbb99bf850e857dd1f14c08fbca1	[ "Apache-2.0" ]	8	2017-03-26T02:53:24.000Z	2018-09-14T03:18:26.000Z	application/controllers/admin/content/__init__.py	spacecode-live/An-e-commerce-fullstack-solution-for-Flask-	28130a18a73afbb99bf850e857dd1f14c08fbca1	[ "Apache-2.0" ]	365	2017-03-24T11:29:02.000Z	2021-11-24T03:14:19.000Z	from . import banner, item	13.5	26	0.740741	4	27	5	1	0	0	0	0	0	0	0	0	0	0	0.185185	27	1	27	27	0.909091	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	0	null	0	0	0	0	1	0	1	0	1	0	6
26ba57057bc810a77a4b6afad58790f177b93c3c	39	py	Python	airtrack/src/__init__.py	ckarageorgkaneen/airtrack-pybpod	86cad41dbea4f7ba496868d171758c348ed7c1f2	[ "MIT" ]	1	2021-09-16T17:42:29.000Z	2021-09-16T17:42:29.000Z	airtrack/src/__init__.py	ckarageorgkaneen/airtrack-pybpod	86cad41dbea4f7ba496868d171758c348ed7c1f2	[ "MIT" ]	12	2021-08-01T17:50:27.000Z	2021-08-08T17:33:58.000Z	airtrack/src/__init__.py	ckarageorgkaneen/airtrack	86cad41dbea4f7ba496868d171758c348ed7c1f2	[ "MIT" ]	null	null	null	from airtrack.src.base import Airtrack	19.5	38	0.846154	6	39	5.5	0.833333	0	0	0	0	0	0	0	0	0	0	0.102564	39	1	39	39	0.942857	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	0	null	0	0	0	0	1	0	1	0	1	0	6
26ee52424e72655b49fed742330b608438aa1b1b	325	py	Python	torchcv/models/__init__.py	CVHj/torchcv	6291f3e1e4bbf6467fd6b1e79001d34a59481bb6	[ "MIT" ]	433	2017-11-30T15:46:58.000Z	2022-01-16T08:06:11.000Z	torchcv/models/__init__.py	CVHj/torchcv	6291f3e1e4bbf6467fd6b1e79001d34a59481bb6	[ "MIT" ]	51	2018-01-29T15:14:33.000Z	2021-08-23T12:02:18.000Z	fpn-hoi/torchcv/models/__init__.py	TheFairBear/Box-Attention-SSD-HOI	6101e209a709899c5645342784c8f451028ff46e	[ "MIT" ]	92	2018-01-20T07:45:36.000Z	2021-05-28T10:43:53.000Z	from torchcv.models.ssd.net import SSD300, SSD512 from torchcv.models.ssd.box_coder import SSDBoxCoder from torchcv.models.fpnssd.net import FPNSSD512 from torchcv.models.fpnssd.box_coder import FPNSSDBoxCoder from torchcv.models.retinanet.net import RetinaNet from torchcv.models.retinanet.box_coder import RetinaBoxC...	36.111111	61	0.858462	46	325	6	0.347826	0.23913	0.369565	0.144928	0	0	0	0	0	0	0.030201	0.083077	325	8	62	40.625	0.895973	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	0	null	0	0	0	0	1	0	1	0	1	0	6
f81a51389e1496b1ca5a707c01207f83600ed046	19	py	Python	ulmo/twc/__init__.py	sblack-usu/ulmo	3213bf0302b44e77abdff1f3f66e7f1083571ce8	[ "BSD-3-Clause" ]	123	2015-01-29T12:35:52.000Z	2021-12-15T21:09:33.000Z	ulmo/twc/__init__.py	sblack-usu/ulmo	3213bf0302b44e77abdff1f3f66e7f1083571ce8	[ "BSD-3-Clause" ]	107	2015-01-05T17:56:22.000Z	2021-11-19T22:46:23.000Z	ulmo/twc/__init__.py	sblack-usu/ulmo	3213bf0302b44e77abdff1f3f66e7f1083571ce8	[ "BSD-3-Clause" ]	49	2015-02-15T18:11:34.000Z	2022-01-25T14:25:32.000Z	from . import kbdi	9.5	18	0.736842	3	19	4.666667	1	0	0	0	0	0	0	0	0	0	0	0.210526	19	1	19	19	0.933333	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	0	null	0	0	0	0	1	0	1	0	1	0	6
f849f0a4fd0cf9b1dc3b650cc5ef05d2c55a030a	8,875	py	Python	tests/engine/block_layout/test_block_non_replaced_normal_flow.py	jonboland/colosseum	cbf974be54fd7f6fddbe7285704cfaf7a866c5c5	[ "BSD-3-Clause" ]	71	2015-04-13T09:44:14.000Z	2019-03-24T01:03:02.000Z	tests/engine/block_layout/test_block_non_replaced_normal_flow.py	jonboland/colosseum	cbf974be54fd7f6fddbe7285704cfaf7a866c5c5	[ "BSD-3-Clause" ]	35	2019-05-06T15:26:09.000Z	2022-03-28T06:30:33.000Z	tests/engine/block_layout/test_block_non_replaced_normal_flow.py	jonboland/colosseum	cbf974be54fd7f6fddbe7285704cfaf7a866c5c5	[ "BSD-3-Clause" ]	139	2015-05-30T18:37:43.000Z	2019-03-27T17:14:05.000Z	from colosseum.constants import AUTO, BLOCK, RTL, SOLID from colosseum.declaration import CSS from ...utils import LayoutTestCase, TestNode class WidthTests(LayoutTestCase): def test_no_horizontal_properties(self): node = TestNode( name='div', style=CSS(display=BLOCK, height=10) ) ...	30.393836	106	0.45093	896	8,875	4.321429	0.081473	0.055527	0.077479	0.108471	0.913481	0.890754	0.851756	0.796229	0.789773	0.789773	0.078799	0.380845	8,875	291	107	30.498282	0.625842	0	0.475	0	0	0.131606	0	0	0	0	0.066667	1	0.066667	false	0	0.0125	0	0.0875	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
f8822ea5dc4fe4359c8f052bccc79640e5ed2e42	147	py	Python	src/TowerDefence/Command/quit_page.py	sevashasla/TowerDefence	73625d88cdb70d4c026d6f452604d193bc32c127	[ "MIT" ]	null	null	null	src/TowerDefence/Command/quit_page.py	sevashasla/TowerDefence	73625d88cdb70d4c026d6f452604d193bc32c127	[ "MIT" ]	null	null	null	src/TowerDefence/Command/quit_page.py	sevashasla/TowerDefence	73625d88cdb70d4c026d6f452604d193bc32c127	[ "MIT" ]	null	null	null	from .command import Command class QuitPageCommand(Command): def __init__(self): pass def __str__(self) -> str: return "Quit current page"	16.333333	31	0.734694	19	147	5.263158	0.736842	0	0	0	0	0	0	0	0	0	0	0.170068	147	8	32	18.375	0.819672	0	0	0	0	0.115646	0	0	0	0	0	1	0.333333	false	0.166667	0.166667	0.166667	0.833333	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	1	0	6
3e4006535c22a3266fb2c587c6b313b8d0d471b7	258	py	Python	guniflask/config/__init__.py	jadbin/guniflask	36253a962c056abf34884263c6919b02b921ad9c	[ "MIT" ]	12	2018-09-06T06:14:59.000Z	2021-04-18T06:30:44.000Z	guniflask/config/__init__.py	jadbin/guniflask	36253a962c056abf34884263c6919b02b921ad9c	[ "MIT" ]	null	null	null	guniflask/config/__init__.py	jadbin/guniflask	36253a962c056abf34884263c6919b02b921ad9c	[ "MIT" ]	2	2019-09-08T22:01:26.000Z	2020-08-03T07:23:29.000Z	from .app_settings import Settings from .app_settings import settings from .env import app_name_from_env from .env import load_app_env from .env import set_app_default_env from .load_utils import load_app_settings from .load_utils import load_profile_config	32.25	43	0.864341	44	258	4.704545	0.272727	0.135266	0.188406	0.202899	0.521739	0.299517	0	0	0	0	0	0.108527	258	7	44	36.857143	0.9	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
3e42e6811af2695a3e6cd8a4af32166ddc34ffa4	194	py	Python	Python Programs/InheritanceExample/ChineseChef.py	JCharlieDev/Python	d213c6cb60110156b19d96d8bb9b809e69e89ce5	[ "MIT" ]	null	null	null	Python Programs/InheritanceExample/ChineseChef.py	JCharlieDev/Python	d213c6cb60110156b19d96d8bb9b809e69e89ce5	[ "MIT" ]	null	null	null	Python Programs/InheritanceExample/ChineseChef.py	JCharlieDev/Python	d213c6cb60110156b19d96d8bb9b809e69e89ce5	[ "MIT" ]	null	null	null	from Chef import Chef class ChineseChef(Chef): def MakeFriedRice(self): print("The chef makes Fried Rice") def MakeSpecialdish(self): print("The chef makes Dumplings")	21.555556	42	0.680412	24	194	5.5	0.625	0.136364	0.181818	0.242424	0.318182	0	0	0	0	0	0	0.231959	194	9	43	21.555556	0.885906	0	0	0	0	0.251282	0	0	0	0	0	1	0.333333	false	0	0.166667	0	0.666667	0.333333	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	0	6
3e66c516484bcd5f263b5f90dd3c006eee5e3a4c	28	py	Python	marginal_finder/__init__.py	pjamesjoyce/marginal-finder	a2b3d69774e4e8669fa72a0160accf4419fb3b81	[ "BSD-3-Clause" ]	null	null	null	marginal_finder/__init__.py	pjamesjoyce/marginal-finder	a2b3d69774e4e8669fa72a0160accf4419fb3b81	[ "BSD-3-Clause" ]	null	null	null	marginal_finder/__init__.py	pjamesjoyce/marginal-finder	a2b3d69774e4e8669fa72a0160accf4419fb3b81	[ "BSD-3-Clause" ]	null	null	null	from .market_finder import *	28	28	0.821429	4	28	5.5	1	0	0	0	0	0	0	0	0	0	0	0.107143	28	1	28	28	0.88	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	0	null	0	0	0	0	1	0	1	0	1	0	6
e4250108c88a5e10b7fc1807726acfe3685f025f	24,196	py	Python	AppDB/appscale/datastore/fdb/stats/entities.py	loftwah/appscale	586fc1347ebc743d7a632de698f4dbfb09ae38d6	[ "Apache-2.0" ]	790	2015-01-03T02:13:39.000Z	2020-05-10T19:53:57.000Z	AppDB/appscale/datastore/fdb/stats/entities.py	loftwah/appscale	586fc1347ebc743d7a632de698f4dbfb09ae38d6	[ "Apache-2.0" ]	1,361	2015-01-08T23:09:40.000Z	2020-04-14T00:03:04.000Z	AppDB/appscale/datastore/fdb/stats/entities.py	loftwah/appscale	586fc1347ebc743d7a632de698f4dbfb09ae38d6	[ "Apache-2.0" ]	155	2015-01-08T22:59:31.000Z	2020-04-08T08:01:53.000Z	""" Each stat kind is populated from one or more stat sections (which are described in the containers module). Ns_Kind_CompositeIndex -> composite-indexes Kind_CompositeIndex -> composite-indexes Ns_Kind_IsRootEntity -> entities + builtin-indexes Ns_Kind_NotRootEntity -> entities + builtin-indexes Kind_IsRootEntity -> ...	48.782258	80	0.704497	3,013	24,196	5.291736	0.041487	0.031234	0.070246	0.036126	0.888673	0.861139	0.819995	0.796726	0.770823	0.7463	0.000723	0.199289	24,196	495	81	48.880808	0.822236	0.051579	0.649758	0	0	0.09782	0.026896	0	0	0	0	1	0.004831	false	0	0.021739	0	0.031401	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
e46d9a6d63997ac96a71dd00e0fff5f78c1de048	2,187	py	Python	course5/model.py	GT-AcerZhang/ReinforcementLearning	77347af3202051e8661a22cf2f955cbbca1472af	[ "Apache-2.0" ]	21	2020-11-06T07:05:23.000Z	2021-09-04T04:45:18.000Z	course5/model.py	GT-AcerZhang/ReinforcementLearning	77347af3202051e8661a22cf2f955cbbca1472af	[ "Apache-2.0" ]	1	2020-11-19T09:40:50.000Z	2020-11-20T01:00:30.000Z	course5/model.py	GT-AcerZhang/ReinforcementLearning	77347af3202051e8661a22cf2f955cbbca1472af	[ "Apache-2.0" ]	3	2021-03-09T02:57:05.000Z	2021-05-04T05:24:09.000Z	import parl from parl import layers class Model(parl.Model): def __init__(self, act_dim): self.conv1 = layers.conv2d(num_filters=32, filter_size=3, stride=2, padding=1, act='relu') self.conv2 = layers.conv2d(num_filters=32, filter_size=3, stride=2, padding=1, act='relu') self.conv3 = layer...	27.683544	98	0.572474	285	2,187	4.263158	0.175439	0.046091	0.045267	0.072428	0.807407	0.807407	0.807407	0.807407	0.807407	0.807407	0.048026	0.304984	2,187	78	99	28.038462	0.751316	0.112026	0.585366	0	0	0.011161	0	0	0	0	0	1	0.097561	false	0	0.04878	0	0.243902	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
e4b4811a628951cfbfcb8ab4e5bc2ec79854c3e7	21	py	Python	batchglm/api/models/__init__.py	SabrinaRichter/batchglm	2da429f895f7eb577a835da334f4ae146a9422ce	[ "BSD-3-Clause" ]	null	null	null	batchglm/api/models/__init__.py	SabrinaRichter/batchglm	2da429f895f7eb577a835da334f4ae146a9422ce	[ "BSD-3-Clause" ]	null	null	null	batchglm/api/models/__init__.py	SabrinaRichter/batchglm	2da429f895f7eb577a835da334f4ae146a9422ce	[ "BSD-3-Clause" ]	null	null	null	from . import glm_nb	10.5	20	0.761905	4	21	3.75	1	0	0	0	0	0	0	0	0	0	0	0.190476	21	1	21	21	0.882353	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	0	null	0	0	0	0	1	0	1	0	1	0	6
e4f6daab7f763498f7398f221af9ff2d630eeac2	111	py	Python	app/language_features/importing/test_imported.py	andykmiles/code-boutique	26d05202f832af163f2900c36237988f37ceea8a	[ "MIT" ]	null	null	null	app/language_features/importing/test_imported.py	andykmiles/code-boutique	26d05202f832af163f2900c36237988f37ceea8a	[ "MIT" ]	null	null	null	app/language_features/importing/test_imported.py	andykmiles/code-boutique	26d05202f832af163f2900c36237988f37ceea8a	[ "MIT" ]	2	2021-06-03T02:59:49.000Z	2021-06-14T20:42:12.000Z	import imported # only works if no __init__.py in this dir def test_doit(): assert imported.doit() == 999	18.5	42	0.711712	18	111	4.111111	0.888889	0	0	0	0	0	0	0	0	0	0.033708	0.198198	111	5	43	22.2	0.797753	0.36036	0	0	0	0	0	0	0	0	0.333333	1	0.333333	true	0	0.666667	0	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	0	null	0	0	0	1	1	0	1	0	1	0	6
90036aa5f697c75eee23f19d736aff8964f98217	166	py	Python	lib/python2.7/site-packages/braintree/exceptions/unexpected_error.py	ervinpepic/E-commerce	2c15255d1730728cf35c166b9f88cffcb99f5323	[ "MIT" ]	182	2015-01-09T05:26:46.000Z	2022-03-16T14:10:06.000Z	lib/python2.7/site-packages/braintree/exceptions/unexpected_error.py	ervinpepic/E-commerce	2c15255d1730728cf35c166b9f88cffcb99f5323	[ "MIT" ]	95	2015-02-24T23:29:56.000Z	2022-03-13T03:27:58.000Z	lib/python2.7/site-packages/braintree/exceptions/unexpected_error.py	ervinpepic/E-commerce	2c15255d1730728cf35c166b9f88cffcb99f5323	[ "MIT" ]	93	2015-02-19T17:59:06.000Z	2022-03-19T17:01:25.000Z	from braintree.exceptions.braintree_error import BraintreeError class UnexpectedError(BraintreeError): """ Raised for unknown or unexpected errors. """ pass	27.666667	63	0.783133	17	166	7.588235	0.882353	0	0	0	0	0	0	0	0	0	0	0.144578	166	5	64	33.2	0.908451	0.240964	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	0	null	0	0	0	0	1	1	1	0	1	0	6
900714459ee5149c86db44d4526c589074f03350	121	py	Python	scripts/mat_animation/__init__.py	hjw-1014/Multi-Objective-Reactive-Motion-Planning-in-Mobile-Manipulators	9a8801e9c663174b753c4852b2313c5a3f302434	[ "MIT" ]	null	null	null	scripts/mat_animation/__init__.py	hjw-1014/Multi-Objective-Reactive-Motion-Planning-in-Mobile-Manipulators	9a8801e9c663174b753c4852b2313c5a3f302434	[ "MIT" ]	null	null	null	scripts/mat_animation/__init__.py	hjw-1014/Multi-Objective-Reactive-Motion-Planning-in-Mobile-Manipulators	9a8801e9c663174b753c4852b2313c5a3f302434	[ "MIT" ]	null	null	null	# from .robot_model import Plotting from .MatGymLikeENv import Plotting, PlottingComplex, MatTiagoEnvComplex, MatTiagoEnv	60.5	85	0.859504	12	121	8.583333	0.75	0.271845	0	0	0	0	0	0	0	0	0	0.090909	121	2	85	60.5	0.936364	0.272727	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	0	null	0	0	0	0	1	0	1	0	1	0	6
901f29a3e8ad2425afab26192199682bdfcc85ed	58	py	Python	config/mylabs_c/client/image/__init__.py	happyfaults/pymylabs	d5ef98b3422cb0f58cd4fa63de6c3756eba7cb16	[ "MIT" ]	null	null	null	config/mylabs_c/client/image/__init__.py	happyfaults/pymylabs	d5ef98b3422cb0f58cd4fa63de6c3756eba7cb16	[ "MIT" ]	null	null	null	config/mylabs_c/client/image/__init__.py	happyfaults/pymylabs	d5ef98b3422cb0f58cd4fa63de6c3756eba7cb16	[ "MIT" ]	null	null	null	from .. import Interactor class App(Interactor): pass	14.5	25	0.724138	7	58	6	0.857143	0	0	0	0	0	0	0	0	0	0	0.189655	58	4	26	14.5	0.893617	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	0	null	0	0	0	0	1	1	1	0	1	0	6
9047ae9677b2b05ad8923352b65e5d86e629447b	28	py	Python	venv/Lib/site-packages/psychopy/tests/test_all_visual/__init__.py	mintzer/pupillometry-rf-back	cfa86fa984a49dce0123798f8de5b838c02e10d5	[ "CC-BY-4.0" ]	null	null	null	venv/Lib/site-packages/psychopy/tests/test_all_visual/__init__.py	mintzer/pupillometry-rf-back	cfa86fa984a49dce0123798f8de5b838c02e10d5	[ "CC-BY-4.0" ]	null	null	null	venv/Lib/site-packages/psychopy/tests/test_all_visual/__init__.py	mintzer/pupillometry-rf-back	cfa86fa984a49dce0123798f8de5b838c02e10d5	[ "CC-BY-4.0" ]	null	null	null	from psychopy import visual	14	27	0.857143	4	28	6	1	0	0	0	0	0	0	0	0	0	0	0.142857	28	1	28	28	1	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	0	null	0	0	0	0	1	0	1	0	1	0	6
5f4d0620423efd2d11c2a6568d4b52636aabae2a	75,499	py	Python	src/original_variant_AlexNet_experiment.py	aslansd/DNNforVPL	7cda3eb327050f98b0867a4eca4cadb813d2c466	[ "MIT" ]	null	null	null	src/original_variant_AlexNet_experiment.py	aslansd/DNNforVPL	7cda3eb327050f98b0867a4eca4cadb813d2c466	[ "MIT" ]	null	null	null	src/original_variant_AlexNet_experiment.py	aslansd/DNNforVPL	7cda3eb327050f98b0867a4eca4cadb813d2c466	[ "MIT" ]	null	null	null	""" Created by Aslan Satary Dizaji (a.satarydizaji@eni-g.de) """ import copy import gc import glob import numpy as np import os import random import scipy.io import shutil import time import torch import torch.backends.cudnn as cudnn import torch.nn as nn import torch.optim import torchvision.transfor...	73.873777	332	0.575782	8,447	75,499	4.799929	0.058364	0.065113	0.062893	0.042915	0.881366	0.856702	0.827722	0.799359	0.787989	0.763448	0.050448	0.335223	75,499	1,022	333	73.873777	0.757382	0.066743	0.540212	0	0	0.047491	0.028922	0	0	0	0.004552	1	0.016692	false	0	0.034901	0	0.059181	0.021244	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
5fabd5552c09f91e70c56d781a728f2617fb24ed	82	py	Python	common/utility/utils.py	klo9klo9kloi/win_det_heatmaps	fc427bcd593831d627698455b8917eb37add3f6e	[ "MIT" ]	29	2020-07-27T10:49:09.000Z	2022-03-17T02:15:03.000Z	common/utility/utils.py	klo9klo9kloi/win_det_heatmaps	fc427bcd593831d627698455b8917eb37add3f6e	[ "MIT" ]	6	2020-09-30T01:51:34.000Z	2022-01-02T08:00:22.000Z	common/utility/utils.py	klo9klo9kloi/win_det_heatmaps	fc427bcd593831d627698455b8917eb37add3f6e	[ "MIT" ]	10	2020-07-31T00:43:38.000Z	2022-03-07T02:45:25.000Z	import numpy as np def float2int(val): return tuple(int (x+0.5) for x in val)	20.5	42	0.682927	17	82	3.294118	0.882353	0	0	0	0	0	0	0	0	0	0.046154	0.207317	82	4	42	20.5	0.815385	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	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	0	null	0	0	0	1	0	0	1	1	1	0	6
3958cb8da7a86fb5d6568774e7d976d0016c1756	45	py	Python	nextcord/ext/help/__init__.py	ooliver1/nextcord-ext-help	2dd740263b67a629573e3afca33415c02e5cef07	[ "MIT" ]	null	null	null	nextcord/ext/help/__init__.py	ooliver1/nextcord-ext-help	2dd740263b67a629573e3afca33415c02e5cef07	[ "MIT" ]	null	null	null	nextcord/ext/help/__init__.py	ooliver1/nextcord-ext-help	2dd740263b67a629573e3afca33415c02e5cef07	[ "MIT" ]	null	null	null	from .faked import * from .help import setup	15	23	0.755556	7	45	4.857143	0.714286	0	0	0	0	0	0	0	0	0	0	0.177778	45	2	24	22.5	0.918919	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	0	null	0	0	0	0	1	0	1	0	1	0	6
39958a2f9454b11953ae9627305219796c22e628	366	py	Python	src/pipeline/report.py	alphagov-mirror/govuk-accessibility-reports	88204c03e273fff76b67ab0730a44869f02e28c9	[ "MIT" ]	7	2021-02-18T07:15:25.000Z	2021-06-28T07:58:04.000Z	src/pipeline/report.py	alphagov-mirror/govuk-accessibility-reports	88204c03e273fff76b67ab0730a44869f02e28c9	[ "MIT" ]	5	2021-01-25T18:41:30.000Z	2022-03-04T17:36:17.000Z	src/pipeline/report.py	alphagov-mirror/govuk-accessibility-reports	88204c03e273fff76b67ab0730a44869f02e28c9	[ "MIT" ]	3	2020-12-14T17:35:58.000Z	2021-04-10T20:11:26.000Z	class Report: def __init__(self, report): self.report = report @property def name(self): return self.report['name'] @property def filename(self): return self.report['filename'] @property def klass(self): return self.report['class'] @property def s...	17.428571	38	0.584699	41	366	5.121951	0.268293	0.285714	0.266667	0.380952	0	0	0	0	0	0	0	0.297814	366	20	39	18.3	0.817121	0	0.266667	0	0	0.057377	0	0	0	0	0	1	0.333333	false	0	0	0.266667	0.666667	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	6
39a467ca49358ae4b3c8418d912f1fd981e7eea0	22	py	Python	pyjq/__init__.py	spraakbanken/pyjq	14d7348f450e3838876149a7891b977a22907e60	[ "MIT" ]	null	null	null	pyjq/__init__.py	spraakbanken/pyjq	14d7348f450e3838876149a7891b977a22907e60	[ "MIT" ]	null	null	null	pyjq/__init__.py	spraakbanken/pyjq	14d7348f450e3838876149a7891b977a22907e60	[ "MIT" ]	null	null	null	from .cli import cli	7.333333	20	0.727273	4	22	4	0.75	0	0	0	0	0	0	0	0	0	0	0.227273	22	2	21	11	0.941176	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	0	null	0	0	0	0	1	0	1	0	1	0	6
39e69a4d5c96f5d122d55a7d967d38228b257aee	33	py	Python	example/__init__.py	elpeix/kaa	b840613cb5eba876d937faf32031651332e5b5f6	[ "MIT" ]	null	null	null	example/__init__.py	elpeix/kaa	b840613cb5eba876d937faf32031651332e5b5f6	[ "MIT" ]	null	null	null	example/__init__.py	elpeix/kaa	b840613cb5eba876d937faf32031651332e5b5f6	[ "MIT" ]	null	null	null	from .server import SampleServer	16.5	32	0.848485	4	33	7	1	0	0	0	0	0	0	0	0	0	0	0.121212	33	1	33	33	0.965517	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	0	null	0	0	0	0	1	0	1	0	1	0	6
f2f935cc189228d08887a78168888bdb20e65598	1,605	py	Python	exercise/venv/lib/python3.7/site-packages/sqreen/frameworks/blank.py	assuzzanne/my-sqreen	81ae0eab417a1dbc0ae6b1778ebfdd71591c3c5b	[ "MIT" ]	null	null	null	exercise/venv/lib/python3.7/site-packages/sqreen/frameworks/blank.py	assuzzanne/my-sqreen	81ae0eab417a1dbc0ae6b1778ebfdd71591c3c5b	[ "MIT" ]	1	2021-06-02T00:27:34.000Z	2021-06-02T00:27:34.000Z	exercise/venv/lib/python3.7/site-packages/sqreen/frameworks/blank.py	assuzzanne/notifications-dispatcher-api	81ae0eab417a1dbc0ae6b1778ebfdd71591c3c5b	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # Copyright (c) 2016, 2017, 2018, 2019 Sqreen. All rights reserved. # Please refer to our terms for more information: # # https://www.sqreen.io/terms.html # """ Blank request for callbacks needing a request when no one is present """ from .base import BaseRequest, BaseResponse class Blank...	16.546392	72	0.602492	181	1,605	5.243094	0.414365	0.231823	0.191781	0.278188	0.465753	0.167545	0	0	0	0	0.015399	0.31215	1,605	96	73	16.71875	0.844203	0.150779	0.619048	0	0	0	0	0	0	0	0	1	0.31746	false	0	0.015873	0.31746	0.68254	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	6
f2fd564d0c65db51adcfff29238d633e38e228e9	61	py	Python	farmer/ncc/history/__init__.py	tamahassam/farmer	512c6fcd5dc5aa223a0fad02527d8000a4cc9ab4	[ "Apache-2.0" ]	10	2019-04-04T07:32:47.000Z	2021-01-07T00:40:50.000Z	farmer/ncc/history/__init__.py	tamahassam/farmer	512c6fcd5dc5aa223a0fad02527d8000a4cc9ab4	[ "Apache-2.0" ]	59	2019-04-18T05:44:31.000Z	2021-05-02T10:33:02.000Z	farmer/ncc/history/__init__.py	tamahassam/farmer	512c6fcd5dc5aa223a0fad02527d8000a4cc9ab4	[ "Apache-2.0" ]	4	2020-01-23T14:01:43.000Z	2021-02-11T04:16:14.000Z	from .plot_history import plot_history from .history import *	30.5	38	0.836066	9	61	5.444444	0.444444	0.44898	0	0	0	0	0	0	0	0	0	0.114754	61	2	39	30.5	0.907407	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	0	null	0	0	0	0	1	0	1	0	1	0	6
844004c0ed2b9c61553e93cd2db618db002fadfc	148	py	Python	fortnox/objects/__init__.py	andreask/fortnox-python	51998d87fb6ca9da954c72f626265eff28667ded	[ "MIT" ]	null	null	null	fortnox/objects/__init__.py	andreask/fortnox-python	51998d87fb6ca9da954c72f626265eff28667ded	[ "MIT" ]	null	null	null	fortnox/objects/__init__.py	andreask/fortnox-python	51998d87fb6ca9da954c72f626265eff28667ded	[ "MIT" ]	null	null	null	from .financial_year import FinancialYear from .voucher import Voucher from .voucher_row import VoucherRow from .voucher_series import VoucherSeries	37	41	0.871622	19	148	6.631579	0.526316	0.261905	0	0	0	0	0	0	0	0	0	0.101351	148	4	42	37	0.947368	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	0	null	0	0	0	0	1	0	1	0	1	0	6
844a9a5f5f40929a97641d4191e551ecb723a82a	194	py	Python	dwtools3/django/seo/urls.py	bazzisoft/dwtools3	ed7b457290ca940b6e53ab56df26ece42afc9928	[ "MIT" ]	1	2019-09-03T10:42:16.000Z	2019-09-03T10:42:16.000Z	dwtools3/django/seo/urls.py	bazzisoft/dwtools3	ed7b457290ca940b6e53ab56df26ece42afc9928	[ "MIT" ]	null	null	null	dwtools3/django/seo/urls.py	bazzisoft/dwtools3	ed7b457290ca940b6e53ab56df26ece42afc9928	[ "MIT" ]	null	null	null	from django.conf.urls import url from . import views urlpatterns = [ url(r'^admin/seo/metatags-admin-redirect/$', views.seo_metatags_admin_redirect, name='seo_metatags_admin_redirect'), ]	24.25	120	0.768041	27	194	5.296296	0.518519	0.230769	0.335664	0.503497	0	0	0	0	0	0	0	0.108247	194	7	121	27.714286	0.82659	0	0	0	0	0.324742	0.324742	0	0	0	0	1	0	false	0	0.4	0	0.4	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	6
844d90a08eff9a759e56a549bf673b42c7fd0b82	2,709	py	Python	tests/test_losses.py	alexkyllo/torch-wtte	916a4641cb8dacabcb54c22363347cd36c18c041	[ "MIT" ]	1	2021-07-26T23:07:49.000Z	2021-07-26T23:07:49.000Z	tests/test_losses.py	alexkyllo/torch-wtte-rnn	916a4641cb8dacabcb54c22363347cd36c18c041	[ "MIT" ]	null	null	null	tests/test_losses.py	alexkyllo/torch-wtte-rnn	916a4641cb8dacabcb54c22363347cd36c18c041	[ "MIT" ]	1	2022-03-08T13:17:00.000Z	2022-03-08T13:17:00.000Z	import torch from torch_wtte import losses def test_log_likelihood_discrete(): """Test that the discrete version of the log-likelihood function returns the expected result. """ tte = torch.tensor([[6, 5, 4, 3, 2], [5, 4, 3, 2, 1]]) uncensored = torch.tensor([[1, 1, 1, 1, 0], [1, 1, 1, 1, 1]]) ...	35.644737	97	0.567737	442	2,709	3.41629	0.167421	0.063576	0.077483	0.07947	0.772848	0.772848	0.772848	0.752318	0.752318	0.752318	0.226027	0.245478	2,709	75	98	36.12	0.51272	0.130306	0.490909	0	0	0	0	0	0	0	0.054545	1	0.054545	false	0	0.036364	0	0.090909	0	0	0	0	null	0	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	0	6
fff28ddeddbb9bbda241b51d0ca371212304dd55	27	py	Python	anybar/__init__.py	philipbl/pyAnyBar	5614cbeba90cd24d1fd1c553f8495e78795cdcd8	[ "MIT" ]	55	2015-04-09T18:06:51.000Z	2021-11-08T11:51:11.000Z	anybar/__init__.py	philipbl/pyAnyBar	5614cbeba90cd24d1fd1c553f8495e78795cdcd8	[ "MIT" ]	4	2016-06-14T06:59:45.000Z	2021-06-04T16:56:34.000Z	anybar/__init__.py	philipbl/pyAnyBar	5614cbeba90cd24d1fd1c553f8495e78795cdcd8	[ "MIT" ]	12	2016-06-27T08:04:02.000Z	2021-06-04T12:07:41.000Z	from .anybar import AnyBar	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	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	0	null	0	0	0	0	1	0	1	0	1	0	6
081cb607f57c37515e3a62379a8cd441762e5e1b	96	py	Python	venv/lib/python3.8/site-packages/poetry/console/commands/self/self.py	Retraces/UkraineBot	3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/poetry/console/commands/self/self.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/poetry/console/commands/self/self.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/49/7f/25/1bf09512d6075ebaac8cfbd7a1476311aaa51d4e25c6e82b8887527c29	96	96	0.895833	9	96	9.555556	1	0	0	0	0	0	0	0	0	0	0.427083	0	96	1	96	96	0.46875	0	0	0	0	0	0	0	1	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	0	1	0	0	0	0	0	0	null	1	0	1	0	0	0	0	0	0	0	6
082d30e548ca8a0143cc901d604e13bf6a4b861d	121	py	Python	fashionnets/models/layer/PassThroughLayer.py	NiklasHoltmeyer/FashionNets	918e57f122b8cfa36dba1d0b993c763ba35ac815	[ "MIT" ]	null	null	null	fashionnets/models/layer/PassThroughLayer.py	NiklasHoltmeyer/FashionNets	918e57f122b8cfa36dba1d0b993c763ba35ac815	[ "MIT" ]	null	null	null	fashionnets/models/layer/PassThroughLayer.py	NiklasHoltmeyer/FashionNets	918e57f122b8cfa36dba1d0b993c763ba35ac815	[ "MIT" ]	null	null	null	import tensorflow as tf class PassThroughLayer(tf.keras.layers.Layer): def call(self, inputs): return inputs	24.2	46	0.727273	16	121	5.5	0.875	0	0	0	0	0	0	0	0	0	0	0.190083	121	5	47	24.2	0.897959	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0.25	0.25	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	0	null	0	0	0	1	0	1	0	1	1	0	6

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