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train · 253k rows

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4d89d9d7fd8d29364892c3b9f633da91e6542bba	226	py	Python	elastica/memory_block/__init__.py	yeonsu-jung/PyElastica	fee87b9da22e310ff925c16fdc839bf8405c51a4	[ "MIT" ]	null	null	null	elastica/memory_block/__init__.py	yeonsu-jung/PyElastica	fee87b9da22e310ff925c16fdc839bf8405c51a4	[ "MIT" ]	1	2022-01-06T11:30:20.000Z	2022-02-07T07:11:22.000Z	elastica/memory_block/__init__.py	yeonsu-jung/PyElastica	fee87b9da22e310ff925c16fdc839bf8405c51a4	[ "MIT" ]	null	null	null	__all__ = [ "MemoryBlockCosseratRod", "MemoryBlockRigidBody", ] from elastica.memory_block.memory_block_rod import MemoryBlockCosseratRod from elastica.memory_block.memory_block_rigid_body import MemoryBlockRigidBody	28.25	78	0.840708	22	226	8.136364	0.5	0.24581	0.201117	0.256983	0.379888	0.379888	0	0	0	0	0	0.10177	226	7	79	32.285714	0.881773	0	0	0	0	0.185841	0.097345	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
4d95d74b01c940a61c9183519a82bb88e1d1ca37	27	py	Python	autoscalingsim/scaling/policiesbuilder/metric/scaling_aspect_calculation/calculators/learning_based/quality_metrics/__init__.py	Remit/autoscaling-simulator	091943c0e9eedf9543e9305682a067ab60f56def	[ "MIT" ]	6	2021-03-10T16:23:10.000Z	2022-01-14T04:57:46.000Z	autoscalingsim/scaling/policiesbuilder/metric/scaling_aspect_calculation/calculators/learning_based/quality_metrics/__init__.py	Remit/autoscaling-simulator	091943c0e9eedf9543e9305682a067ab60f56def	[ "MIT" ]	null	null	null	autoscalingsim/scaling/policiesbuilder/metric/scaling_aspect_calculation/calculators/learning_based/quality_metrics/__init__.py	Remit/autoscaling-simulator	091943c0e9eedf9543e9305682a067ab60f56def	[ "MIT" ]	1	2022-01-14T04:57:55.000Z	2022-01-14T04:57:55.000Z	from . import scaled_error	13.5	26	0.814815	4	27	5.25	1	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	0.913043	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
4db138296cf00b9bd3b1e6d520738906aa29187d	12,834	py	Python	test/organism_test.py	MoffMade/python-apollo	3cc61458cf5c20bd44fde656b8364417b915cfb8	[ "MIT" ]	null	null	null	test/organism_test.py	MoffMade/python-apollo	3cc61458cf5c20bd44fde656b8364417b915cfb8	[ "MIT" ]	1	2020-08-25T00:16:42.000Z	2020-08-25T00:16:42.000Z	test/organism_test.py	MoffMade/python-apollo	3cc61458cf5c20bd44fde656b8364417b915cfb8	[ "MIT" ]	null	null	null	import json import time from . import ApolloTestCase, wa class OrganismTest(ApolloTestCase): def test_get_organisms(self): orgs = wa.organisms.get_organisms() assert len(orgs) >= 3 first_org = orgs[0] assert 'nonDefaultTranslationTable' in first_org assert 'annotation...	34.315508	238	0.639317	1,594	12,834	4.909034	0.088457	0.107348	0.036805	0.07361	0.781597	0.771246	0.747604	0.722684	0.706837	0.685751	0.012994	0.22643	12,834	373	239	34.407507	0.775181	0.037245	0.649351	0	0	0.190098	0.00551	0	0	0	0.419913	1	0.082251	false	0	0.012987	0	0.099567	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	0	0	6
4db88300c2802c32988838d07e14dc34b542410c	227	py	Python	worlddata/APISections/search.py	worlddata-ai/python-api	c4157a8a079993e4339c29dbb65a7e87390579b5	[ "MIT" ]	1	2021-06-24T11:13:50.000Z	2021-06-24T11:13:50.000Z	worlddata/APISections/search.py	worlddata-ai/python-api	c4157a8a079993e4339c29dbb65a7e87390579b5	[ "MIT" ]	null	null	null	worlddata/APISections/search.py	worlddata-ai/python-api	c4157a8a079993e4339c29dbb65a7e87390579b5	[ "MIT" ]	null	null	null	from worlddata.APISections.base import WorldDataBase class WorldDataSearch(WorldDataBase): def search(self, search_text, **kwargs): return self.call_api_post("search", search_text=search_text, kwargs=kwargs)	28.375	83	0.762115	27	227	6.222222	0.62963	0.178571	0.190476	0	0	0	0	0	0	0	0	0.145374	227	8	84	28.375	0.865979	0	0	0	0	0.026316	0	0	0	0	0	1	0.25	false	0	0.25	0.25	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
150be877389d726657732105825bf14ad698f027	36	py	Python	LED2Net/Loss/__init__.py	zhigangjiang/LED2-Net	28528b2180d6af0caee54a60560b88dd0f218f1b	[ "MIT" ]	57	2021-03-25T05:42:34.000Z	2022-03-30T02:50:30.000Z	LED2Net/Loss/__init__.py	zhigangjiang/LED2-Net	28528b2180d6af0caee54a60560b88dd0f218f1b	[ "MIT" ]	8	2021-04-09T09:50:22.000Z	2022-02-17T17:36:27.000Z	LED2Net/Loss/__init__.py	zhigangjiang/LED2-Net	28528b2180d6af0caee54a60560b88dd0f218f1b	[ "MIT" ]	6	2021-04-11T10:15:07.000Z	2022-03-31T06:56:56.000Z	from .DepthRender import RenderLoss	18	35	0.861111	4	36	7.75	1	0	0	0	0	0	0	0	0	0	0	0.111111	36	1	36	36	0.96875	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
128190e07054d033e666de598e662b7ee6ec7ca3	162	py	Python	mashupsim/strategy/StateMachine.py	irhawks/mashupsim	a990bd49c46d6d4f11a2570bd8862f59a2f22a7e	[ "Apache-2.0" ]	null	null	null	mashupsim/strategy/StateMachine.py	irhawks/mashupsim	a990bd49c46d6d4f11a2570bd8862f59a2f22a7e	[ "Apache-2.0" ]	null	null	null	mashupsim/strategy/StateMachine.py	irhawks/mashupsim	a990bd49c46d6d4f11a2570bd8862f59a2f22a7e	[ "Apache-2.0" ]	null	null	null	class StrategyStateMachine : def discovery() : pass def composition() : pass def usage() : pass def end() : pass	14.727273	28	0.5	14	162	5.785714	0.571429	0.259259	0	0	0	0	0	0	0	0	0	0.419753	162	10	29	16.2	0.861702	0	0.444444	0	0	0	0	0	0	0	0	1	0.444444	true	0.444444	0	0	0.555556	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	1	0	0	1	0	6
421bed1489e9e50e1016293576bb387cd28072e7	39	py	Python	src/__init__.py	jackgoffinet/poe-vae	18ca2cd4cffe3259e19525c2dc65c84d7219e9d6	[ "MIT" ]	null	null	null	src/__init__.py	jackgoffinet/poe-vae	18ca2cd4cffe3259e19525c2dc65c84d7219e9d6	[ "MIT" ]	null	null	null	src/__init__.py	jackgoffinet/poe-vae	18ca2cd4cffe3259e19525c2dc65c84d7219e9d6	[ "MIT" ]	1	2022-01-14T12:29:51.000Z	2022-01-14T12:29:51.000Z	from .param_maps import LIKELIHOOD_MAP	19.5	38	0.871795	6	39	5.333333	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
42494cf229dca4e0978560eaed63edcbf96c7c64	1,529	py	Python	pychron/canvas/canvas2D/tests/calibration_item.py	ASUPychron/pychron	dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76	[ "Apache-2.0" ]	31	2016-03-07T02:38:17.000Z	2022-02-14T18:23:43.000Z	pychron/canvas/canvas2D/tests/calibration_item.py	ASUPychron/pychron	dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76	[ "Apache-2.0" ]	1,626	2015-01-07T04:52:35.000Z	2022-03-25T19:15:59.000Z	pychron/canvas/canvas2D/tests/calibration_item.py	UIllinoisHALPychron/pychron	f21b79f4592a9fb9dc9a4cb2e4e943a3885ededc	[ "Apache-2.0" ]	26	2015-05-23T00:10:06.000Z	2022-03-07T16:51:57.000Z	from __future__ import absolute_import import unittest from pychron.canvas.canvas2D.scene.primitives.calibration import CalibrationObject class CalibrationObjectTestCase(unittest.TestCase): def setUp(self): self._cal_obj = CalibrationObject(cx=0, cy=0) def test_calc_rotation_east_counter_clockwise(s...	33.23913	82	0.705036	206	1,529	4.868932	0.194175	0.062812	0.089731	0.095713	0.770688	0.770688	0.742772	0.742772	0.742772	0.723829	0.034483	0.184434	1,529	45	83	33.977778	0.769848	0	0.25	0	0	0.023545	0	0	0	0	0.25	1	0.28125	false	0	0.09375	0	0.40625	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	0	0	1	0	0	0	0	0	0	6
35eeea9b137490e3f8a0a82b973404020ef1d4f8	34	py	Python	src/minerva_ufrj/__init__.py	pedromxavier/minerva	304bec6b3cd85ab4ad123f0e14e18dfab8632cb2	[ "MIT" ]	2	2020-07-11T20:04:52.000Z	2020-10-13T16:57:22.000Z	src/minerva_ufrj/__init__.py	pedromxavier/minerva	304bec6b3cd85ab4ad123f0e14e18dfab8632cb2	[ "MIT" ]	null	null	null	src/minerva_ufrj/__init__.py	pedromxavier/minerva	304bec6b3cd85ab4ad123f0e14e18dfab8632cb2	[ "MIT" ]	null	null	null	from .minerva import Minerva, main	34	34	0.823529	5	34	5.6	0.8	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	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
c438a63bbe870f94b1f4a1a9d21f696bd40834a6	3,457	py	Python	keylib/keys.py	mdcovarr/encrypt-server	335f6417396418c73d19c9d8c804ae98cfab9fed	[ "MIT" ]	1	2020-06-08T20:02:27.000Z	2020-06-08T20:02:27.000Z	keylib/keys.py	mdcovarr/encrypt-server	335f6417396418c73d19c9d8c804ae98cfab9fed	[ "MIT" ]	null	null	null	keylib/keys.py	mdcovarr/encrypt-server	335f6417396418c73d19c9d8c804ae98cfab9fed	[ "MIT" ]	null	null	null	""" RSA Private/Public Key Parameters ---------------------------------- KEY_BIT_SIZE: bit size of keys e: exponent """ KEY_BIT_SIZE = 4000 e = int("""130499359017053281556458431345533123778363781651270565436082977439613579949 54717322917425749364642943354291308521375017815197673634269952642064...	59.603448	117	0.832514	81	3,457	35.481481	0.753086	0.007307	0.015658	0	0	0	0	0	0	0	0.889875	0.120046	3,457	57	118	60.649123	0.054898	0.032109	0	0	0	0.947123	0.836392	0	1	0	0	1	0	false	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	1	1	null	1	0	0	0	0	0	0	0	0	0	0	6
c45070ee11eb8065c04150878e25b05069f38987	2,872	py	Python	vgg19.py	Azkel/NeuralNoodle	aa4710e18d6bdd77c0f5e7f5dd86f9b90f724e27	[ "MIT" ]	null	null	null	vgg19.py	Azkel/NeuralNoodle	aa4710e18d6bdd77c0f5e7f5dd86f9b90f724e27	[ "MIT" ]	5	2020-11-13T17:15:08.000Z	2022-02-09T23:26:48.000Z	vgg19.py	Azkel/NeuralNoodle	aa4710e18d6bdd77c0f5e7f5dd86f9b90f724e27	[ "MIT" ]	1	2018-06-28T18:44:52.000Z	2018-06-28T18:44:52.000Z	# Taken from https://gist.github.com/baraldilorenzo/8d096f48a1be4a2d660d # MaxPooling layers replated by AveragePooling layers, according to https://arxiv.org/abs/1508.06576 from keras.models import Sequential from keras.layers.core import Flatten, Dense, Dropout from keras.layers.convolutional import Convolution2D, ...	43.515152	101	0.680362	403	2,872	4.794045	0.183623	0.178054	0.093168	0.182195	0.754658	0.742754	0.742754	0.742754	0.742754	0.728778	0.100565	0.137883	2,872	65	102	44.184615	0.679725	0.059192	0.45283	0	0	0.070767	0	0	0	0	0	1	0.018868	false	0	0.09434	0	0.132075	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	0	0	6
c47679fda46f1f049313e1ff5866f97d4cf41485	115	py	Python	dassl/utils/__init__.py	weiliuxm/Dassl.pytorch	8084b66332623c7a2394ea1404f2d043ef415ebb	[ "MIT" ]	563	2020-03-17T13:57:40.000Z	2022-03-31T02:38:47.000Z	dassl/utils/__init__.py	weiliuxm/Dassl.pytorch	8084b66332623c7a2394ea1404f2d043ef415ebb	[ "MIT" ]	37	2020-05-21T02:12:47.000Z	2022-03-30T06:10:47.000Z	dassl/utils/__init__.py	weiliuxm/Dassl.pytorch	8084b66332623c7a2394ea1404f2d043ef415ebb	[ "MIT" ]	99	2020-03-17T15:23:15.000Z	2022-03-27T14:52:30.000Z	from .tools import * from .logger import * from .meters import * from .registry import * from .torchtools import *	19.166667	25	0.73913	15	115	5.666667	0.466667	0.470588	0	0	0	0	0	0	0	0	0	0.173913	115	5	26	23	0.894737	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
c47da6485534db330586008c3a0111d74700d7c9	1,131	py	Python	test_op.py	HighCWu/denoising-diffusion-paddle	cdb75812e9d8ac29027ec0c482fb3c5b0ebbbcef	[ "MIT" ]	10	2021-03-19T16:20:02.000Z	2021-05-19T10:57:16.000Z	test_op.py	HighCWu/denoising-diffusion-paddle	cdb75812e9d8ac29027ec0c482fb3c5b0ebbbcef	[ "MIT" ]	null	null	null	test_op.py	HighCWu/denoising-diffusion-paddle	cdb75812e9d8ac29027ec0c482fb3c5b0ebbbcef	[ "MIT" ]	null	null	null	import paddle import paddle.nn as nn import paddle.nn.functional as F from model import UNet from diffusion import make_beta_schedule, GaussianDiffusion from config import config conf = config.diffusion betas = make_beta_schedule(**conf.diffusion.beta_schedule) diffusion = GaussianDiffusion(betas) model = ...	27.585366	64	0.731211	148	1,131	5.466216	0.263514	0.103832	0.084054	0.123609	0.719407	0.719407	0.719407	0.719407	0.719407	0.719407	0.004175	0.152962	1,131	41	65	27.585366	0.840292	0	0.702703	0	0	0	0	0	0	0	0	1	0	false	0	0.162162	0	0.162162	0.054054	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
67919f574a12df10f9ff9cdda3eb3dfeae74018c	6,909	py	Python	test/test_table_reader.py	askainet/haystack	00aa1f41d7c21273d8c312a3fad0b51ddd446672	[ "Apache-2.0" ]	null	null	null	test/test_table_reader.py	askainet/haystack	00aa1f41d7c21273d8c312a3fad0b51ddd446672	[ "Apache-2.0" ]	null	null	null	test/test_table_reader.py	askainet/haystack	00aa1f41d7c21273d8c312a3fad0b51ddd446672	[ "Apache-2.0" ]	null	null	null	import logging import pandas as pd import pytest from haystack.schema import Document, Answer from haystack.pipelines.base import Pipeline def test_table_reader(table_reader): data = { "actors": ["brad pitt", "leonardo di caprio", "george clooney"], "age": ["58", "47", "60"], "number of ...	42.913043	119	0.656824	874	6,909	5.078947	0.156751	0.111061	0.085154	0.096643	0.855373	0.850867	0.82879	0.796351	0.748141	0.748141	0.053695	0.183239	6,909	160	120	43.18125	0.732943	0.046027	0.624	0	0	0.255888	0	0	0	0	0.264	1	0.072	false	0	0.04	0	0.112	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	0	0	6
67b8688a086df0dcfbc901847584a6dd4f4ce51f	254	py	Python	rados_deploy/internal/remoto/modules/package_install.py	MariskaIJpelaar/rados-deploy	4ffb467211c2b05d17d76c2423c72c0ee4d4ec99	[ "MIT" ]	null	null	null	rados_deploy/internal/remoto/modules/package_install.py	MariskaIJpelaar/rados-deploy	4ffb467211c2b05d17d76c2423c72c0ee4d4ec99	[ "MIT" ]	1	2022-02-08T10:07:18.000Z	2022-02-08T10:07:18.000Z	rados_deploy/internal/remoto/modules/package_install.py	MariskaIJpelaar/rados-deploy	4ffb467211c2b05d17d76c2423c72c0ee4d4ec99	[ "MIT" ]	2	2021-10-05T12:24:53.000Z	2021-12-22T09:41:07.000Z	def remote_pip_install_simple(name, silent): return remote_pip_install(name, True, 'python3', 'pip3', silent) def remote_pip_install(name, usermode, py, pip, silent): return lib_install(name, usermode=usermode, py=py, pip=pip, silent=silent)	31.75	79	0.748031	37	254	4.918919	0.378378	0.148352	0.263736	0.208791	0	0	0	0	0	0	0.00905	0.129921	254	7	80	36.285714	0.81448	0	0	0	0	0.043651	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
67beafab4df8830c8bb514c716b27dc1f02ee428	626	py	Python	MonteCarlo/tests/test_SingleDimensionHamiltonian.py	DRosen766/MonteCarlo	979767b3cdc1f716e84b3855fb31d5f49400eb30	[ "MIT" ]	null	null	null	MonteCarlo/tests/test_SingleDimensionHamiltonian.py	DRosen766/MonteCarlo	979767b3cdc1f716e84b3855fb31d5f49400eb30	[ "MIT" ]	null	null	null	MonteCarlo/tests/test_SingleDimensionHamiltonian.py	DRosen766/MonteCarlo	979767b3cdc1f716e84b3855fb31d5f49400eb30	[ "MIT" ]	null	null	null	import sys import pytest from MonteCarlo.SingleDimensionHamiltonian import SingleDimensionHamiltonian from MonteCarlo.SpinConfiguration import spinConfiguration def testSingleDimensionHamiltonian(): assert(SingleDimensionHamiltonian(-2, 1.1, spinConfiguration(5, 4)).Hamiltonian == -8) assert(SingleDimension...	41.733333	113	0.785942	61	626	8.065574	0.344262	0.260163	0.268293	0.276423	0.430894	0.430894	0.219512	0.219512	0	0	0.074468	0.099042	626	15	114	41.733333	0.797872	0	0	0	0	0	0	0	0	0	0.4	1	0.2	true	0	0.4	0	0.6	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	0	0	0	1	0	1	0	1	0	6
db3511b2d7d44acb37c47b6b95b8f9549914d996	1,600	py	Python	tests/unit/test_is_best_response.py	11michalis11/Nashpy	f33a09fa6efd25d8aad965cf8ed907563b5f57d2	[ "MIT" ]	212	2016-11-06T12:44:08.000Z	2022-03-10T03:05:27.000Z	tests/unit/test_is_best_response.py	11michalis11/Nashpy	f33a09fa6efd25d8aad965cf8ed907563b5f57d2	[ "MIT" ]	93	2016-11-06T12:34:14.000Z	2022-03-25T10:57:17.000Z	tests/unit/test_is_best_response.py	11michalis11/Nashpy	f33a09fa6efd25d8aad965cf8ed907563b5f57d2	[ "MIT" ]	51	2016-11-06T12:31:22.000Z	2022-03-29T10:45:53.000Z	""" Tests for the best response check """ import numpy as np from nashpy.utils.is_best_response import ( is_best_response, ) def test_is_best_response_example_1(): """ This tests an example from the discussion documentation. The second assert checks that the column player strategy is as expected. ...	33.333333	78	0.650625	291	1,600	3.367698	0.140893	0.091837	0.157143	0.02449	0.889796	0.889796	0.804082	0.804082	0.797959	0.797959	0.048298	0.210625	1,600	47	79	34.042553	0.727633	0.26625	0.5	0	0	0	0	0	0	0	0.272727	1	0.136364	false	0	0.090909	0	0.227273	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	0	0	6
e1fda1a71dc71dd76729ca32b1af93d7e0abe360	104,738	py	Python	src/comp_net_raw.py	raun1/Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-	6522812f2e25304d4c4dfa572cd0df6549a9ff47	[ "MIT" ]	29	2018-10-17T23:30:47.000Z	2022-02-17T15:07:37.000Z	src/comp_net_raw.py	raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-	6522812f2e25304d4c4dfa572cd0df6549a9ff47	[ "MIT" ]	2	2018-10-24T12:37:06.000Z	2020-08-20T14:02:44.000Z	src/comp_net_raw.py	raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-	6522812f2e25304d4c4dfa572cd0df6549a9ff47	[ "MIT" ]	5	2018-11-12T06:44:01.000Z	2021-12-16T08:17:39.000Z	# coding: utf-8 # In[2]: import keras import scipy as sp import scipy.misc, scipy.ndimage.interpolation from medpy import metric import numpy as np import os from keras import losses import tensorflow as tf from keras.models import Model from keras.layers import Input,merge, concatenate, Conv2D, MaxPooling2D, Activa...	40.470634	228	0.701799	11,940	104,738	6.032998	0.059296	0.089819	0.071522	0.089402	0.806439	0.788253	0.777522	0.758836	0.743718	0.722326	0.079498	0.160152	104,738	2,587	229	40.486278	0.739405	0.026791	0.208987	0	0	0.031645	0.000206	0	0	0	0	1	0.002853	false	0	0.015692	0.001427	0.021398	0.000713	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	0	0	6
c00822eb535df6cb4526d3459ad3dce8a5d53763	165	py	Python	content/admin.py	divyeshvala/Request_Content	5a2dcbbe7e590f1e28dea582ce0b4b77795eb16d	[ "Apache-2.0" ]	1	2020-03-08T13:47:58.000Z	2020-03-08T13:47:58.000Z	content/admin.py	divyeshvala/Request_Content	5a2dcbbe7e590f1e28dea582ce0b4b77795eb16d	[ "Apache-2.0" ]	null	null	null	content/admin.py	divyeshvala/Request_Content	5a2dcbbe7e590f1e28dea582ce0b4b77795eb16d	[ "Apache-2.0" ]	null	null	null	from django.contrib import admin from .models import Idea, Topic, Creator admin.site.register(Idea) admin.site.register(Topic) admin.site.register(Creator)	20.625	41	0.769697	23	165	5.521739	0.478261	0.212598	0.401575	0	0	0	0	0	0	0	0	0.133333	165	7	42	23.571429	0.888112	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
c022d41d9ec7ad745818d4f2a41325c881fa1934	51	py	Python	archeion/conf.py	ambhudia/archeion	0abccf58e498cc7de9b276fc4798df1a30ce0590	[ "Apache-2.0" ]	null	null	null	archeion/conf.py	ambhudia/archeion	0abccf58e498cc7de9b276fc4798df1a30ce0590	[ "Apache-2.0" ]	null	null	null	archeion/conf.py	ambhudia/archeion	0abccf58e498cc7de9b276fc4798df1a30ce0590	[ "Apache-2.0" ]	null	null	null	CLIENT_ID = "57d1cc14-cb8e-4d52-a6ba-6f86445999f7"	25.5	50	0.803922	7	51	5.714286	1	0	0	0	0	0	0	0	0	0	0.416667	0.058824	51	1	51	51	0.416667	0	0	0	0	0.705882	0.705882	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	0	6
c02c1543fd904dc486a1a44fee1d58bafcb37435	1,787	py	Python	tests/write-tests/test_findpeaks.py	focolab/gcamp-extractor	5e47ab2cfb75e3f09cfd84d40d8be0739a75d39c	[ "MIT" ]	null	null	null	tests/write-tests/test_findpeaks.py	focolab/gcamp-extractor	5e47ab2cfb75e3f09cfd84d40d8be0739a75d39c	[ "MIT" ]	26	2022-03-01T17:34:45.000Z	2022-03-31T00:09:55.000Z	tests/write-tests/test_findpeaks.py	focolab/gcamp-extractor	5e47ab2cfb75e3f09cfd84d40d8be0739a75d39c	[ "MIT" ]	null	null	null	import numpy as np from eats_worm.segfunctions import * from sklearn.datasets import make_blobs # generate three points, use them as bright voxels in image, and verify that they are detected def test_findpeaks2d(): image = np.zeros((25, 25)) samples, labels, blob_centers = make_blobs(n_samples=3, centers=3, n_...	51.057143	125	0.688864	277	1,787	4.216607	0.245487	0.131849	0.061644	0.077055	0.761986	0.739726	0.739726	0.738014	0.714041	0.714041	0.040972	0.19418	1,787	35	126	51.057143	0.770139	0.103525	0.266667	1	0	0.005	0	0	0	0	0.066667	1	0.066667	false	0	0.1	0	0.166667	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
2244c5918298088ea8deb02c94382d8e4f5b9c17	50	py	Python	icu_mortality/main.py	RJBeetel3/mimic3_analysis	5267a9cc9037da431bb257d157df8e00fab2d295	[ "MIT" ]	2	2018-11-27T07:47:10.000Z	2020-03-02T07:45:06.000Z	icu_mortality/main.py	RJBeetel3/mimic3_analysis	5267a9cc9037da431bb257d157df8e00fab2d295	[ "MIT" ]	1	2018-12-03T18:04:27.000Z	2018-12-05T20:38:14.000Z	icu_mortality/main.py	RJBeetel3/mimic3_analysis	5267a9cc9037da431bb257d157df8e00fab2d295	[ "MIT" ]	1	2018-03-10T23:23:17.000Z	2018-03-10T23:23:17.000Z	import ptnt_demog ptnt_demog.import_demog_data()	12.5	30	0.86	8	50	4.875	0.5	0.461538	0	0	0	0	0	0	0	0	0	0.08	50	4	30	12.5	0.847826	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2257be6087e7bd6f98fa803ffb8471795796450b	100	py	Python	tienda/stores/models/__init__.py	Ricardokaro/tienda	3b94d4e661da583dc4026ed6fd422d1f03a25bc3	[ "MIT" ]	null	null	null	tienda/stores/models/__init__.py	Ricardokaro/tienda	3b94d4e661da583dc4026ed6fd422d1f03a25bc3	[ "MIT" ]	2	2022-03-01T10:04:17.000Z	2022-03-02T10:04:09.000Z	tienda/stores/models/__init__.py	Ricardokaro/tienda	3b94d4e661da583dc4026ed6fd422d1f03a25bc3	[ "MIT" ]	null	null	null	from .stores import * from .products import * from .shopping import * from .purchase_detail import *	25	30	0.77	13	100	5.846154	0.538462	0.394737	0	0	0	0	0	0	0	0	0	0.15	100	4	30	25	0.894118	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
97de1b28a40c0e13e41f29557408d1385695ddcc	38	py	Python	skypelib/__init__.py	delan/skrollback	fa86c4a984a02581980ff9aad5d3c18ffd1c828f	[ "0BSD" ]	null	null	null	skypelib/__init__.py	delan/skrollback	fa86c4a984a02581980ff9aad5d3c18ffd1c828f	[ "0BSD" ]	null	null	null	skypelib/__init__.py	delan/skrollback	fa86c4a984a02581980ff9aad5d3c18ffd1c828f	[ "0BSD" ]	null	null	null	#!/usr/bin/env python import monitor	9.5	21	0.736842	6	38	4.666667	1	0	0	0	0	0	0	0	0	0	0	0.131579	38	3	22	12.666667	0.848485	0.526316	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
3f09d40834a622200ad971def26d275c5b003034	89	py	Python	info/modules/index/__init__.py	moonbria/test1	05893bd91d416ca4093e4619ede427434fa665cc	[ "MIT" ]	null	null	null	info/modules/index/__init__.py	moonbria/test1	05893bd91d416ca4093e4619ede427434fa665cc	[ "MIT" ]	null	null	null	info/modules/index/__init__.py	moonbria/test1	05893bd91d416ca4093e4619ede427434fa665cc	[ "MIT" ]	null	null	null	from flask import Blueprint index_blu = Blueprint("index", __name__) from .views import *	29.666667	40	0.786517	12	89	5.416667	0.666667	0.430769	0	0	0	0	0	0	0	0	0	0.123596	89	3	41	29.666667	0.833333	0	0	0	0	0.055556	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	1	6
3f115cb244168a74e406e9bf962b67347276cc64	788	py	Python	tests/test_get_month.py	datalab42/kyd-downloader	5de439d41998a6035527d0a6dfe8acded2798bfc	[ "MIT" ]	2	2020-09-28T03:32:15.000Z	2020-12-13T02:38:17.000Z	tests/test_get_month.py	datalab42/kyd-downloader	5de439d41998a6035527d0a6dfe8acded2798bfc	[ "MIT" ]	2	2020-08-17T22:30:42.000Z	2021-03-31T19:47:37.000Z	tests/test_get_month.py	datalab42/kyd-downloader	5de439d41998a6035527d0a6dfe8acded2798bfc	[ "MIT" ]	5	2020-07-21T20:14:00.000Z	2021-09-09T07:59:09.000Z	import sys sys.path.append('../functions/') from datetime import date from kyd.data.downloaders import get_month def test_get_month(): assert get_month(date(2020, 7, 4), 0) == date(2020, 7, 1) assert get_month(date(2020, 7, 4), -1) == date(2020, 6, 1) assert get_month(date(2020, 7, 4), -2) == d...	41.473684	64	0.596447	141	788	3.241135	0.219858	0.297593	0.21663	0.393873	0.544858	0.544858	0.544858	0.492341	0	0	0.213141	0.208122	788	18	65	43.777778	0.519231	0	0	0	0	0.016905	0	0	0	0	0.666667	1	0.066667	true	0	0.2	0	0.266667	0	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	1	0	0	0	0	0	6
58bb964a449c2838da0974b566bb6067d7da8a97	102	py	Python	pyqt_image_file_explorer_table_widget/__init__.py	yjg30737/pyqt-image-file-explorer	1971a9e985e4d40b2ff5e8b196a696bb89b8e4f2	[ "MIT" ]	2	2022-02-12T13:13:51.000Z	2022-02-23T12:08:57.000Z	pyqt_image_file_explorer_table_widget/__init__.py	yjg30737/pyqt-image-file-explorer	1971a9e985e4d40b2ff5e8b196a696bb89b8e4f2	[ "MIT" ]	null	null	null	pyqt_image_file_explorer_table_widget/__init__.py	yjg30737/pyqt-image-file-explorer	1971a9e985e4d40b2ff5e8b196a696bb89b8e4f2	[ "MIT" ]	null	null	null	from .imageFileExplorerTableWidget import * from .imageLabelWidget import * from .imageWidget import *	34	43	0.833333	9	102	9.444444	0.555556	0.235294	0	0	0	0	0	0	0	0	0	0.107843	102	3	44	34	0.934066	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
18c9420c63433008ef5ed3442c15e9c6734641c1	10,417	py	Python	src/eve_esi_jobs/examples/work_orders.py	DonalChilde/eve-esi	8050e988a5460aa3dc97e573880fcda7243026da	[ "MIT" ]	null	null	null	src/eve_esi_jobs/examples/work_orders.py	DonalChilde/eve-esi	8050e988a5460aa3dc97e573880fcda7243026da	[ "MIT" ]	null	null	null	src/eve_esi_jobs/examples/work_orders.py	DonalChilde/eve-esi	8050e988a5460aa3dc97e573880fcda7243026da	[ "MIT" ]	null	null	null	import logging from eve_esi_jobs import models from eve_esi_jobs.examples.jobs import get_markets_region_id_history logger = logging.getLogger(__name__) logger.addHandler(logging.NullHandler()) def example_workorder(): region_id = 10000002 type_id = 34 work_order = models.EsiWorkOrder( name="ex...	31.953988	106	0.586157	1,221	10,417	4.670762	0.093366	0.061722	0.035069	0.044187	0.865159	0.829739	0.822199	0.809048	0.780992	0.768894	0.016867	0.305654	10,417	325	107	32.052308	0.771602	0	0.557047	0	0	0.378004	0.180446	0	0	0	0	1	0.026846	false	0	0.010067	0	0.063758	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	0	0	6
18d3dcf9810646a4ddaf4314d906003756ef779d	5,089	py	Python	distla/distla_core/distla_core/blas/summa/test_summa.py	google/distla_core	7f0d8ab7b847a75e0fc713627488643a8984712a	[ "Apache-2.0" ]	2	2021-12-19T21:17:06.000Z	2021-12-25T09:19:47.000Z	distla/distla_core/distla_core/blas/summa/test_summa.py	google/distla_core	7f0d8ab7b847a75e0fc713627488643a8984712a	[ "Apache-2.0" ]	null	null	null	distla/distla_core/distla_core/blas/summa/test_summa.py	google/distla_core	7f0d8ab7b847a75e0fc713627488643a8984712a	[ "Apache-2.0" ]	1	2021-12-25T09:19:56.000Z	2021-12-25T09:19:56.000Z	# Copyright 2021 The Distla 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 required by applicable ...	31.41358	79	0.706033	783	5,089	4.422733	0.195402	0.069882	0.072769	0.043893	0.743575	0.734334	0.730869	0.730869	0.730869	0.730869	0.0118	0.150717	5,089	161	80	31.608696	0.789449	0.141089	0.737705	0	0	0.022989	0	0	0	0	0.02459	1	0.057377	false	0	0.065574	0	0.122951	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
e12f613748d1b4bd07846bff1d2a6754cba591af	2,231	py	Python	anndata/tests/test_inplace_subset.py	czbiohub/anndata	e65b3f7e11c304b75fbfc17956f5adc0d8715a2f	[ "BSD-3-Clause" ]	null	null	null	anndata/tests/test_inplace_subset.py	czbiohub/anndata	e65b3f7e11c304b75fbfc17956f5adc0d8715a2f	[ "BSD-3-Clause" ]	null	null	null	anndata/tests/test_inplace_subset.py	czbiohub/anndata	e65b3f7e11c304b75fbfc17956f5adc0d8715a2f	[ "BSD-3-Clause" ]	null	null	null	import numpy as np import pytest from sklearn.utils.testing import assert_array_equal from scipy import sparse from anndata.tests.helpers import gen_adata, subset_func, asarray @pytest.fixture( params=[np.array, sparse.csr_matrix, sparse.csc_matrix], ids=["np_array", "scipy_csr", "scipy_csc"], ) def matrix_t...	32.808824	76	0.69117	320	2,231	4.5375	0.171875	0.110193	0.165289	0.158402	0.763085	0.763085	0.725895	0.725895	0.725895	0.725895	0.004454	0.19498	2,231	67	77	33.298507	0.804009	0.011206	0.509091	0	0	0.011797	0	0	0	0.014925	0.272727	1	0.054545	false	0	0.090909	0.018182	0.163636	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	1	0	0	0	0	0	0	0	0	0	6
e19976f39c9463b520075aa0c1e924fa5e5f158f	244	py	Python	tests/utils.py	DramatikMan/flask-practice-two	ab012172041127579f0c07296a3913ebe17f4e94	[ "MIT" ]	null	null	null	tests/utils.py	DramatikMan/flask-practice-two	ab012172041127579f0c07296a3913ebe17f4e94	[ "MIT" ]	null	null	null	tests/utils.py	DramatikMan/flask-practice-two	ab012172041127579f0c07296a3913ebe17f4e94	[ "MIT" ]	null	null	null	def login(client, username, password): payload = dict(username=username, password=password) return client.post('/login', data=payload, follow_redirects=True) def logout(client): return client.get('/logout', follow_redirects=True)	30.5	69	0.741803	30	244	5.966667	0.5	0.178771	0.212291	0	0	0	0	0	0	0	0	0.127049	244	7	70	34.857143	0.840376	0	0	0	0	0.053279	0	0	0	0	0	1	0.4	false	0.4	0	0.2	0.8	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	1	0	6
e1a55986a33ae9963d8d26156ba0f8b801b54e4f	118,870	py	Python	swagger_client/models/get_characters_character_id_stats_combat.py	rseichter/bootini-star	a80258f01a05e4df38748b8cb47dfadabd42c20d	[ "MIT" ]	null	null	null	swagger_client/models/get_characters_character_id_stats_combat.py	rseichter/bootini-star	a80258f01a05e4df38748b8cb47dfadabd42c20d	[ "MIT" ]	null	null	null	swagger_client/models/get_characters_character_id_stats_combat.py	rseichter/bootini-star	a80258f01a05e4df38748b8cb47dfadabd42c20d	[ "MIT" ]	null	null	null	# coding: utf-8 """ EVE Swagger Interface An OpenAPI for EVE Online # noqa: E501 OpenAPI spec version: 0.8.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class GetCharactersCharacterIdStatsCombat(object): """NOTE:...	43.718279	3,211	0.744662	14,623	118,870	5.537851	0.011489	0.065201	0.092368	0.156705	0.942023	0.887787	0.813324	0.70673	0.591245	0.473808	0.01505	0.201245	118,870	2,718	3,212	43.734364	0.837838	0.424195	0.089385	1	0	0.128785	0.096896	0	0	0	0	1	0.180633	false	0	0.002793	0	0.27933	0.001862	0	0	0	null	0	0	0	1	1	1	1	0	0	0	0	0	1	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
e1c9d1b82c4d4a0f8f08691c430078353e4e4c36	35	py	Python	webevents/__init__.py	Zamony/webevents	af1e2ef0d62c11e547b83e47613fe4aae953d322	[ "MIT" ]	1	2019-10-07T10:57:22.000Z	2019-10-07T10:57:22.000Z	webevents/__init__.py	Zamony/webevents	af1e2ef0d62c11e547b83e47613fe4aae953d322	[ "MIT" ]	null	null	null	webevents/__init__.py	Zamony/webevents	af1e2ef0d62c11e547b83e47613fe4aae953d322	[ "MIT" ]	null	null	null	from webevents.webevents import run	35	35	0.885714	5	35	6.2	0.8	0	0	0	0	0	0	0	0	0	0	0.085714	35	1	35	35	0.96875	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
bedf24ab7e6134db4a8bfc7ca111875a9b7fc542	69	py	Python	pygrep/classes/__init__.py	sstadick/pygrep	13c53ac427adda9974ee9e62c22391bf0682008c	[ "Apache-2.0" ]	null	null	null	pygrep/classes/__init__.py	sstadick/pygrep	13c53ac427adda9974ee9e62c22391bf0682008c	[ "Apache-2.0" ]	null	null	null	pygrep/classes/__init__.py	sstadick/pygrep	13c53ac427adda9974ee9e62c22391bf0682008c	[ "Apache-2.0" ]	null	null	null	from .boyerMoore import * from .naive import * from .helpers import *	23	25	0.753623	9	69	5.777778	0.555556	0.384615	0	0	0	0	0	0	0	0	0	0.15942	69	3	26	23	0.896552	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
830f300591565e591198ac648100f9292af09d0c	16	py	Python	eds/openmtc-gevent/common/openmtc/lib/pyio.py	piyush82/elastest-device-emulator-service	b4d6b393d6042c54a7b3dfb5f58cad5efd00f0e7	[ "Apache-2.0" ]	2	2021-05-27T13:32:16.000Z	2022-03-30T01:23:34.000Z	simulator/uio.py	ondiiik/meteoink	9bc7af929de12ed5eb2fafd64fcfe447f07b6eeb	[ "MIT" ]	null	null	null	simulator/uio.py	ondiiik/meteoink	9bc7af929de12ed5eb2fafd64fcfe447f07b6eeb	[ "MIT" ]	null	null	null	from io import *	16	16	0.75	3	16	4	1	0	0	0	0	0	0	0	0	0	0	0.1875	16	1	16	16	0.923077	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
55c44922049c54857887dfdd26f888d41447d9f7	144	py	Python	notes/Rest_Flask_Example/controllers/default_controller.py	microservice-tools/pixis	ce5a1ecc70732677518d21a0e876440af1245eac	[ "MIT" ]	null	null	null	notes/Rest_Flask_Example/controllers/default_controller.py	microservice-tools/pixis	ce5a1ecc70732677518d21a0e876440af1245eac	[ "MIT" ]	21	2018-04-25T19:07:41.000Z	2018-07-18T06:04:56.000Z	notes/Rest_Flask_Example/controllers/default_controller.py	microservice-tools/pixis	ce5a1ecc70732677518d21a0e876440af1245eac	[ "MIT" ]	1	2018-04-23T14:44:00.000Z	2018-04-23T14:44:00.000Z	from flask import Blueprint default_api = Blueprint('default_api', __name__) @default_api.route('/') def index(): return "Hello, World!"	16	48	0.715278	18	144	5.333333	0.722222	0.3125	0.395833	0	0	0	0	0	0	0	0	0.145833	144	8	49	18	0.780488	0	0	0	0	0.173611	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	1	0	6
3606848770d0838d3271f54ca89863b5c629b85a	7,014	py	Python	src/gae/fit.py	Abdumaleek/infinity-mirror	b493c5602d9e4bcf374b748e9b80e7c85be54a88	[ "MIT" ]	5	2020-03-13T02:54:03.000Z	2022-03-18T02:33:12.000Z	src/gae/fit.py	Abdumaleek/infinity-mirror	b493c5602d9e4bcf374b748e9b80e7c85be54a88	[ "MIT" ]	2	2021-11-10T19:47:00.000Z	2022-02-10T01:24:59.000Z	src/gae/fit.py	Abdumaleek/infinity-mirror	b493c5602d9e4bcf374b748e9b80e7c85be54a88	[ "MIT" ]	1	2021-05-24T21:54:44.000Z	2021-05-24T21:54:44.000Z	import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # Train on CPU (hide GPU) due to memory constraints os.environ['CUDA_VISIBLE_DEVICES'] = "0" import tensorflow as tf import numpy as np import scipy.sparse as sp from collections import namedtuple from src.gae.gae.optimizer import OptimizerAE, OptimizerVAE from sr...	37.508021	128	0.666239	926	7,014	4.86933	0.211663	0.025283	0.02994	0.026613	0.757596	0.750499	0.727878	0.727878	0.727878	0.727878	0.016691	0.222697	7,014	186	129	37.709677	0.810345	0.276305	0.78	0	0	0.048005	0	0	0	0	0.02	1	0.02	false	0	0.08	0	0.12	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
363b12f7744ea8bb315ebd17d2182e64416292bb	296	py	Python	eventsourcing/tests/example_application_tests/test_example_application_with_cassandra.py	alexanderlarin/eventsourcing	6f2a4ded3c783ba3ee465243a48f66ecdee20f52	[ "BSD-3-Clause" ]	1	2020-02-10T08:12:31.000Z	2020-02-10T08:12:31.000Z	eventsourcing/tests/example_application_tests/test_example_application_with_cassandra.py	alexanderlarin/eventsourcing	6f2a4ded3c783ba3ee465243a48f66ecdee20f52	[ "BSD-3-Clause" ]	null	null	null	eventsourcing/tests/example_application_tests/test_example_application_with_cassandra.py	alexanderlarin/eventsourcing	6f2a4ded3c783ba3ee465243a48f66ecdee20f52	[ "BSD-3-Clause" ]	null	null	null	from eventsourcing.tests.example_application_tests import base from eventsourcing.tests.sequenced_item_tests.test_cassandra_record_manager import \ WithCassandraRecordManagers class TestExampleApplicationWithCassandra(WithCassandraRecordManagers, base.ExampleApplicationTestCase): pass	37	104	0.885135	26	296	9.807692	0.692308	0.133333	0.172549	0	0	0	0	0	0	0	0	0.077703	296	7	105	42.285714	0.934066	0	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.4	0	0.6	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
7fd5e0f0499eab07ccf2febf733bb79921633a30	140	py	Python	scrapli_community/alcatel/aos/__init__.py	ikievite/scrapli_community	b160ae6c21177c949a0b8210810ba2584b31861f	[ "MIT" ]	37	2020-11-13T20:50:30.000Z	2022-03-25T16:15:28.000Z	scrapli_community/alcatel/aos/__init__.py	ikievite/scrapli_community	b160ae6c21177c949a0b8210810ba2584b31861f	[ "MIT" ]	84	2020-08-02T16:20:15.000Z	2022-03-02T14:38:26.000Z	scrapli_community/alcatel/aos/__init__.py	ikievite/scrapli_community	b160ae6c21177c949a0b8210810ba2584b31861f	[ "MIT" ]	25	2020-08-01T23:51:37.000Z	2022-02-21T10:06:33.000Z	"""scrapli_community.alcatel.aos""" from scrapli_community.alcatel.aos.alcatel_aos import SCRAPLI_PLATFORM __all__ = ("SCRAPLI_PLATFORM",)	28	70	0.814286	17	140	6.176471	0.470588	0.285714	0.438095	0.495238	0	0	0	0	0	0	0	0.064286	140	4	71	35	0.801527	0.207143	0	0	0	0.152381	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
1829ef31efdf5d293a75daffce85af63e4d2218d	2,256	py	Python	domaci-zadaci/06/test_trim_str.py	lukin155/skola-programiranja	481eea1bc7429d13e006952162a8c76074fcd4dc	[ "MIT" ]	2	2019-04-29T09:09:05.000Z	2019-09-22T10:40:54.000Z	domaci-zadaci/06/test_trim_str.py	lukin155/skola-programiranja	481eea1bc7429d13e006952162a8c76074fcd4dc	[ "MIT" ]	null	null	null	domaci-zadaci/06/test_trim_str.py	lukin155/skola-programiranja	481eea1bc7429d13e006952162a8c76074fcd4dc	[ "MIT" ]	null	null	null	from solutions import trim_str import random import unittest class TestTrimStr(unittest.TestCase): # 0 leading spaces, 0 trailing spaces def test_00(self): teststr = "Test string." expected = teststr actual = trim_str(teststr) self.assertEqual(expected, actual) # 0 leadi...	25.066667	98	0.602837	257	2,256	5.18677	0.151751	0.127532	0.087772	0.135034	0.900975	0.830458	0.830458	0.723181	0.702176	0.702176	0.029832	0.286791	2,256	89	99	25.348315	0.798633	0.140514	0.666667	0	0	0.116122	0	0	0	0	0.176471	1	0.176471	false	0	0.058824	0	0.254902	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	0	0	6
a10223934e49c46a5f8fa785e9479044ec4407eb	4,968	py	Python	radbm/utils/torch/multi_bernoulli/log_arithmetic.py	duchesneaumathieu/radbm	3d9dbad51e1bfc0bbb1a60d0aa03c99340f6930c	[ "MIT" ]	null	null	null	radbm/utils/torch/multi_bernoulli/log_arithmetic.py	duchesneaumathieu/radbm	3d9dbad51e1bfc0bbb1a60d0aa03c99340f6930c	[ "MIT" ]	null	null	null	radbm/utils/torch/multi_bernoulli/log_arithmetic.py	duchesneaumathieu/radbm	3d9dbad51e1bfc0bbb1a60d0aa03c99340f6930c	[ "MIT" ]	null	null	null	import torch from radbm.utils.torch import torch_lse, torch_logsumexp from .poisson_binomial import log_poisson_binomial logsigmoid = torch.nn.LogSigmoid() def multi_bernoulli_equality(xz, yz): """ Compute the bitwise log probability that two Multi-Bernoulli are equal. Parameters ---------- xz...	33.12	88	0.628623	726	4,968	4.217631	0.14876	0.109732	0.073155	0.07838	0.838668	0.814174	0.808295	0.806989	0.766166	0.745591	0.013037	0.274356	4,968	150	89	33.12	0.836338	0.648551	0.296296	0	0	0	0	0	0	0	0	1	0.185185	false	0	0.111111	0	0.481481	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	0	0	6
a1527b32af1140ac3ee943f03e38174f0cc29cd2	206	py	Python	compile.py	smathot/stimulus-sets	c4d3eca2ef0a4d82e5518a0bd26b47c7f8dd0f13	[ "CC-BY-3.0" ]	6	2015-05-20T04:28:50.000Z	2021-05-12T23:14:51.000Z	compile.py	smathot/stimulus-sets	c4d3eca2ef0a4d82e5518a0bd26b47c7f8dd0f13	[ "CC-BY-3.0" ]	null	null	null	compile.py	smathot/stimulus-sets	c4d3eca2ef0a4d82e5518a0bd26b47c7f8dd0f13	[ "CC-BY-3.0" ]	1	2022-01-01T13:12:17.000Z	2022-01-01T13:12:17.000Z	#!/usr/bin/env python #-- coding:utf-8 -- from academicmarkdown import build build.HTML(u'stimulus-sets.md', u'stimulus-sets.html', standalone=False) build.PDF(u'stimulus-sets.md', u'stimulus-sets.pdf')	29.428571	72	0.73301	33	206	4.575758	0.575758	0.238411	0.344371	0.198676	0.370861	0.370861	0.370861	0	0	0	0.005236	0.072816	206	6	73	34.333333	0.78534	0.194175	0	0	0	0.408537	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
a1ec7295eb172a4376794f7f571a9f67a8313d45	154	py	Python	tests/test_pyqt.py	yueranyuan/pyscreenshot	3287b798691de8791bc3b3314f2545f7b0b1cb99	[ "BSD-2-Clause" ]	null	null	null	tests/test_pyqt.py	yueranyuan/pyscreenshot	3287b798691de8791bc3b3314f2545f7b0b1cb99	[ "BSD-2-Clause" ]	null	null	null	tests/test_pyqt.py	yueranyuan/pyscreenshot	3287b798691de8791bc3b3314f2545f7b0b1cb99	[ "BSD-2-Clause" ]	null	null	null	from ref import backend_ref from size import backend_size def test_size_pyqt(): backend_size('pyqt') def test_ref_pyqt(): backend_ref('pyqt')	14	29	0.74026	24	154	4.416667	0.333333	0.245283	0	0	0	0	0	0	0	0	0	0.168831	154	10	30	15.4	0.828125	0	0	0	0	0.051948	0	0	0	0	0	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6
6294c25d3011f74d3e215080a6eab6a89131999c	102	py	Python	kwat/grid/get_1d_grid_resolution.py	KwatME/ccal	d96dfa811482eee067f346386a2181ec514625f4	[ "MIT" ]	5	2017-05-05T17:50:28.000Z	2019-01-30T19:23:02.000Z	kwat/grid/get_1d_grid_resolution.py	KwatME/ccal	d96dfa811482eee067f346386a2181ec514625f4	[ "MIT" ]	5	2017-05-05T01:52:31.000Z	2019-04-20T21:06:05.000Z	kwat/grid/get_1d_grid_resolution.py	KwatME/ccal	d96dfa811482eee067f346386a2181ec514625f4	[ "MIT" ]	5	2017-07-17T18:55:54.000Z	2019-02-02T04:46:19.000Z	from numpy import diff, unique def get_1d_grid_resolution(co_): return diff(unique(co_)).min()	14.571429	34	0.735294	16	102	4.375	0.8125	0.285714	0	0	0	0	0	0	0	0	0.011628	0.156863	102	6	35	17	0.802326	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	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	0	0	6
629cd812cedd27e70311fe2b2ad3749f50427eca	13,006	py	Python	inventory/inventory/doctype/inventory_validator/inventory_validator.py	riconova92/inventory	7cc4f49bda31f802af36ee4ea6eb43092b5094a7	[ "MIT" ]	null	null	null	inventory/inventory/doctype/inventory_validator/inventory_validator.py	riconova92/inventory	7cc4f49bda31f802af36ee4ea6eb43092b5094a7	[ "MIT" ]	null	null	null	inventory/inventory/doctype/inventory_validator/inventory_validator.py	riconova92/inventory	7cc4f49bda31f802af36ee4ea6eb43092b5094a7	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # Copyright (c) 2015, Myme and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe.model.document import Document form_grid_templates = { "data_inventory_unchecked": "templates/includes/item_grid_packing_list_invento...	41.685897	235	0.69368	1,978	13,006	4.199191	0.06724	0.093426	0.151818	0.093186	0.80785	0.77438	0.744642	0.737178	0.73164	0.7196	0.003692	0.208673	13,006	312	236	41.685897	0.803342	0.011994	0.690196	0	0.007843	0.104251	0.062052	0	0	0	0	1	0.015686	false	0.003922	0.011765	0	0.031373	0.007843	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	0	0	6
62b0ff2afff3705e24659e9cff703915faab119e	513	py	Python	projecteuler/#5.py	droiddoes9/USACO	d63d07d225cebb86f3a93b5b52995fa7e81af8ee	[ "MIT" ]	null	null	null	projecteuler/#5.py	droiddoes9/USACO	d63d07d225cebb86f3a93b5b52995fa7e81af8ee	[ "MIT" ]	null	null	null	projecteuler/#5.py	droiddoes9/USACO	d63d07d225cebb86f3a93b5b52995fa7e81af8ee	[ "MIT" ]	null	null	null	num=20 while num<670442572800: if num%20==0: if num%19==0: if num%18==0: if num%17==0: if num%16==0: if num%15==0: if num%14==0: if num%13==0: ...	32.0625	55	0.245614	51	513	2.470588	0.333333	0.396825	0.428571	0	0	0	0	0	0	0	0.265896	0.662768	513	15	56	34.2	0.462428	0	0	0	0	0.005848	0	0	0	0	0	0	null	null	0	0	null	null	0.133333	0	0	0	null	1	1	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	0	6
c53d9f85e6ecf13aef41aafe1ed282baee089c3f	256	py	Python	src/sample/Env.py	TestowanieAutomatyczneUG/laboratorium-9-wgulan	b69d4a04acadde0f2609fe51096d64d725da1c71	[ "MIT" ]	null	null	null	src/sample/Env.py	TestowanieAutomatyczneUG/laboratorium-9-wgulan	b69d4a04acadde0f2609fe51096d64d725da1c71	[ "MIT" ]	null	null	null	src/sample/Env.py	TestowanieAutomatyczneUG/laboratorium-9-wgulan	b69d4a04acadde0f2609fe51096d64d725da1c71	[ "MIT" ]	null	null	null	class Env: def __init__(self): self.played = False def getTime(self): pass def playWavFile(self, file): pass def wavWasPlayed(self): self.played = True def resetWav(self): self.played = False	16	32	0.566406	29	256	4.862069	0.482759	0.170213	0.297872	0.269504	0	0	0	0	0	0	0	0.34375	256	15	33	17.066667	0.839286	0	0.363636	0	0	0	0	0	0	0	0	1	0.454545	false	0.181818	0	0	0.545455	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	0	1	0	1	0	0	1	0	6
c5622f45fb59bddf809b61abe045fa63fe69ef6b	37	py	Python	lxmls/my_tools.py	jnobre/lxmls-toolkit-2017	528da3377723cb9a048d13ac80786408d16df88d	[ "MIT" ]	null	null	null	lxmls/my_tools.py	jnobre/lxmls-toolkit-2017	528da3377723cb9a048d13ac80786408d16df88d	[ "MIT" ]	null	null	null	lxmls/my_tools.py	jnobre/lxmls-toolkit-2017	528da3377723cb9a048d13ac80786408d16df88d	[ "MIT" ]	null	null	null	def my_print(input): print input	12.333333	20	0.702703	6	37	4.166667	0.666667	0.8	0	0	0	0	0	0	0	0	0	0.216216	37	3	21	12.333333	0.862069	0	0	0	0	0	0	0	0	0	0	0	null	null	0	0	null	null	1	1	1	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	1	6
3d678eb4ce540aea29f0a656acdc78871b2309e2	183	py	Python	src/graph_transpiler/webdnn/backend/webgpu/kernels/atanh.py	steerapi/webdnn	1df51cc094e5a528cfd3452c264905708eadb491	[ "MIT" ]	1	2021-04-09T15:55:35.000Z	2021-04-09T15:55:35.000Z	src/graph_transpiler/webdnn/backend/webgpu/kernels/atanh.py	steerapi/webdnn	1df51cc094e5a528cfd3452c264905708eadb491	[ "MIT" ]	null	null	null	src/graph_transpiler/webdnn/backend/webgpu/kernels/atanh.py	steerapi/webdnn	1df51cc094e5a528cfd3452c264905708eadb491	[ "MIT" ]	null	null	null	from webdnn.backend.webgpu.kernels.elementwise import register_elementwise_kernel from webdnn.graph.operators.atanh import Atanh register_elementwise_kernel(Atanh, "y = atanh(x0);")	36.6	81	0.84153	24	183	6.25	0.583333	0.133333	0.333333	0	0	0	0	0	0	0	0.005882	0.071038	183	4	82	45.75	0.876471	0	0	0	0	0.076503	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
3ded8c56091de597a0ad6ada23cca960bff7fe72	117	py	Python	waffles/view/util/resource.py	IonTeLOS/wasf	2e77dd65afffbbf1545e9ced2296dcbd0ab3c8e4	[ "Zlib" ]	null	null	null	waffles/view/util/resource.py	IonTeLOS/wasf	2e77dd65afffbbf1545e9ced2296dcbd0ab3c8e4	[ "Zlib" ]	null	null	null	waffles/view/util/resource.py	IonTeLOS/wasf	2e77dd65afffbbf1545e9ced2296dcbd0ab3c8e4	[ "Zlib" ]	null	null	null	from waffles import ROOT_DIR def get_path(resource_path): return ROOT_DIR + '/view/resources/' + resource_path	19.5	56	0.760684	17	117	4.941176	0.705882	0.166667	0	0	0	0	0	0	0	0	0	0.153846	117	5	57	23.4	0.848485	0	0	0	0	0.136752	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
b18cd19402d66356499413f2e5fd1199b44f4519	3,005	py	Python	commands.py	Treeniks/Vinimum	77c484125b38aca3a8d8010e60a0a5b1f6a769f9	[ "Vim" ]	null	null	null	commands.py	Treeniks/Vinimum	77c484125b38aca3a8d8010e60a0a5b1f6a769f9	[ "Vim" ]	null	null	null	commands.py	Treeniks/Vinimum	77c484125b38aca3a8d8010e60a0a5b1f6a769f9	[ "Vim" ]	null	null	null	import sublime import Vinimum.vinimum as vinimum class Command: def __init__(self, view): self.view = view def run(self): pass def repeatable(self): return True # i class InsertCommand(Command): def run(self): vinimum.enter_sublime_mode() # technically repeatable...	26.830357	116	0.671547	369	3,005	5.368564	0.184282	0.05048	0.05048	0.077234	0.734982	0.734982	0.734982	0.734982	0.688541	0.688541	0	0.225624	3,005	111	117	27.072072	0.851311	0.227288	0.492308	0	0	0.151264	0.047951	0	0	0	0	1	0.276923	false	0.015385	0.030769	0.107692	0.569231	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	0	0	6
491699f8e4d47893e3e5ee5661274f798a5ac2d2	1,299	py	Python	migration/migrator/migrations/course/20200131192137_office_hours_queue_queue_tokens.py	zeez2030/Submitty	7118944ff4adc6f15d76984eb10a1e862926d724	[ "BSD-3-Clause" ]	411	2016-06-14T20:52:25.000Z	2022-03-31T21:20:25.000Z	migration/migrator/migrations/course/20200131192137_office_hours_queue_queue_tokens.py	KaelanWillauer/Submitty	cf9b6ceda15ec0a661e2ca81ea7864790094c64a	[ "BSD-3-Clause" ]	5,730	2016-05-23T21:04:32.000Z	2022-03-31T10:08:06.000Z	migration/migrator/migrations/course/20200131192137_office_hours_queue_queue_tokens.py	KaelanWillauer/Submitty	cf9b6ceda15ec0a661e2ca81ea7864790094c64a	[ "BSD-3-Clause" ]	423	2016-09-22T21:11:30.000Z	2022-03-29T18:55:28.000Z	"""Migration for a given Submitty course database.""" def up(config, database, semester, course): """ Run up migration. :param config: Object holding configuration details about Submitty :type config: migrator.config.Config :param database: Object for interacting with given database for environme...	35.108108	110	0.724403	164	1,299	5.707317	0.310976	0.047009	0.081197	0.098291	0.767094	0.700855	0.700855	0.700855	0.700855	0.700855	0	0.197845	1,299	36	111	36.083333	0.898273	0.622017	0	0	0	0.526854	0	0	0	0	0	1	0.4	false	0	0	0	0.4	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	0	0	1	0	0	0	0	0	0	6
493669c55b08d9d78d4f4133d5c02379f318d478	28	py	Python	src/infrastructure/queries/__init__.py	nedagarmo/Libraries	7618bd329593684d475a9e64a38409ffb30697df	[ "Apache-2.0" ]	null	null	null	src/infrastructure/queries/__init__.py	nedagarmo/Libraries	7618bd329593684d475a9e64a38409ffb30697df	[ "Apache-2.0" ]	null	null	null	src/infrastructure/queries/__init__.py	nedagarmo/Libraries	7618bd329593684d475a9e64a38409ffb30697df	[ "Apache-2.0" ]	null	null	null	from .book import BookQuery	14	27	0.821429	4	28	5.75	1	0	0	0	0	0	0	0	0	0	0	0.142857	28	1	28	28	0.958333	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
4941cb411d40a7842537c22584e826b47c2972c5	35	py	Python	negate.py	bourneagain/pythonBytes	be115162147e52718aacbfb9cd2763aa02754f28	[ "MIT" ]	1	2017-05-29T02:02:27.000Z	2017-05-29T02:02:27.000Z	negate.py	bourneagain/pythonBytes	be115162147e52718aacbfb9cd2763aa02754f28	[ "MIT" ]	null	null	null	negate.py	bourneagain/pythonBytes	be115162147e52718aacbfb9cd2763aa02754f28	[ "MIT" ]	null	null	null	def negate(n): print negate(n)	5.833333	15	0.628571	6	35	3.666667	0.666667	0.636364	0	0	0	0	0	0	0	0	0	0.228571	35	5	16	7	0.814815	0	0	0	0	0	0	0	0	0	0	0	null	null	0	0	null	null	0.5	1	1	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	1	6
494bcfb5124aa77ecfc60bc145d664dd5077a142	2,210	py	Python	pypeln/task/api/each_task_test.py	quarckster/pypeln	f4160d0f4d4718b67f79a0707d7261d249459a4b	[ "MIT" ]	1,281	2018-09-20T05:35:27.000Z	2022-03-30T01:29:48.000Z	pypeln/task/api/each_task_test.py	webclinic017/pypeln	5231806f2cac9d2019dacbbcf913484fd268b8c1	[ "MIT" ]	78	2018-09-18T20:38:12.000Z	2022-03-30T20:16:02.000Z	pypeln/task/api/each_task_test.py	webclinic017/pypeln	5231806f2cac9d2019dacbbcf913484fd268b8c1	[ "MIT" ]	88	2018-09-24T10:46:14.000Z	2022-03-28T09:34:50.000Z	import sys import time import typing as tp from unittest import TestCase import hypothesis as hp from hypothesis import strategies as st import pypeln as pl MAX_EXAMPLES = 10 T = tp.TypeVar("T") class TestEach(TestCase): @hp.given(nums=st.lists(st.integers())) @hp.settings(max_examples=MAX_EXAMPLES) de...	24.285714	59	0.614027	336	2,210	3.872024	0.14881	0.106072	0.096849	0.059954	0.823982	0.823982	0.823982	0.823982	0.823982	0.823982	0.003109	0.272398	2,210	90	60	24.555556	0.80597	0	0.610169	0	0	0.000452	0	0	0	0	0.20339	1	0.050847	false	0	0.118644	0	0.186441	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	0	0	6
49679d9e5f4642bf7fa2b1598dcba6c0d3c2e196	318	py	Python	Codewars/8kyu/tip-calculator/Python/test.py	RevansChen/online-judge	ad1b07fee7bd3c49418becccda904e17505f3018	[ "MIT" ]	7	2017-09-20T16:40:39.000Z	2021-08-31T18:15:08.000Z	Codewars/8kyu/tip-calculator/Python/test.py	RevansChen/online-judge	ad1b07fee7bd3c49418becccda904e17505f3018	[ "MIT" ]	null	null	null	Codewars/8kyu/tip-calculator/Python/test.py	RevansChen/online-judge	ad1b07fee7bd3c49418becccda904e17505f3018	[ "MIT" ]	null	null	null	# Python - 2.7.6 Test.assert_equals(calculate_tip(30, 'poor'), 2) Test.assert_equals(calculate_tip(20, 'Excellent'), 4) Test.assert_equals(calculate_tip(20, 'hi'), 'Rating not recognised') Test.assert_equals(calculate_tip(107.65, 'GReat'), 17) Test.assert_equals(calculate_tip(20, 'great!'), 'Rating not recognised')	39.75	72	0.751572	49	318	4.673469	0.44898	0.218341	0.349345	0.545852	0.637555	0.393013	0	0	0	0	0.068027	0.075472	318	7	73	45.428571	0.710884	0.044025	0	0	0	0.225166	0	0	0	0	1	1	0	true	0	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	0	0	1	0	0	0	0	0	6
b8fdaf2a00677033fbbf3dca34355d8b3b057cf2	170	py	Python	holocron/nn/modules/__init__.py	frgfm/torch-zoo	c97beacf3d49eaa34398abf47f378ea6b48a70f3	[ "Apache-2.0" ]	null	null	null	holocron/nn/modules/__init__.py	frgfm/torch-zoo	c97beacf3d49eaa34398abf47f378ea6b48a70f3	[ "Apache-2.0" ]	null	null	null	holocron/nn/modules/__init__.py	frgfm/torch-zoo	c97beacf3d49eaa34398abf47f378ea6b48a70f3	[ "Apache-2.0" ]	null	null	null	from .activation import * from .attention import * from .conv import * from .downsample import * from .dropblock import * from .lambda_layer import * from .loss import *	21.25	27	0.752941	22	170	5.772727	0.454545	0.472441	0	0	0	0	0	0	0	0	0	0.164706	170	7	28	24.285714	0.894366	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
7702a30764fc1236bf22446e9cd8a3b920aaa84b	35	py	Python	samples/import_lib.py	codes1gn/gemini	4b173ea583f2578244d1d0fb482ccb77818f7558	[ "MIT" ]	null	null	null	samples/import_lib.py	codes1gn/gemini	4b173ea583f2578244d1d0fb482ccb77818f7558	[ "MIT" ]	null	null	null	samples/import_lib.py	codes1gn/gemini	4b173ea583f2578244d1d0fb482ccb77818f7558	[ "MIT" ]	null	null	null	def do_print(): print('hello')	11.666667	18	0.6	5	35	4	0.8	0	0	0	0	0	0	0	0	0	0	0.2	35	2	19	17.5	0.714286	0	0	0	0	0.142857	0	0	0	0	0	1	0.5	true	0	0	0	0.5	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	1	6
773e1e8274d2f21928ab32b326dbd5f1422bbaef	201	py	Python	pyaop/aspects/aspect_manager.py	stonewell/python-aop	563f41187f8f4d84e09344569541f985ffe90c6f	[ "MIT" ]	null	null	null	pyaop/aspects/aspect_manager.py	stonewell/python-aop	563f41187f8f4d84e09344569541f985ffe90c6f	[ "MIT" ]	null	null	null	pyaop/aspects/aspect_manager.py	stonewell/python-aop	563f41187f8f4d84e09344569541f985ffe90c6f	[ "MIT" ]	null	null	null	class AspectManager(object): def __init__(self): super(AspectManager, self).__init__() def get_module_hooker(self, name): return None def load_aspects(self): pass	20.1	45	0.646766	23	201	5.173913	0.695652	0	0	0	0	0	0	0	0	0	0	0.258706	201	9	46	22.333333	0.798658	0	0	0	0	0	0	0	0	0	0	1	0.428571	false	0.142857	0	0.142857	0.714286	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	1	0	6
775e1a04595ea17b577520e917d68cc6ebd99e11	25	py	Python	cflearn/misc/__init__.py	carefree0910/carefree-learn	2043812afbe9c56f01ec1639961736313ee062ba	[ "MIT" ]	400	2020-07-05T18:55:49.000Z	2022-02-21T02:33:08.000Z	cflow/misc/__init__.py	carefree0910/carefree-flow	7035015a072cf8142074d01683889f90950d2939	[ "MIT" ]	82	2020-08-01T13:29:38.000Z	2021-10-09T07:13:44.000Z	cflearn/misc/__init__.py	carefree0910/carefree-learn	2043812afbe9c56f01ec1639961736313ee062ba	[ "MIT" ]	34	2020-07-05T21:15:34.000Z	2021-12-20T08:45:17.000Z	from .internal_ import *	12.5	24	0.76	3	25	6	1	0	0	0	0	0	0	0	0	0	0	0.16	25	1	25	25	0.857143	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
620a5ac5dd61aa27da74339e0a7d30b1abcfc2f6	2,604	py	Python	rul_features/computed_features/basic_statistical.py	inovex/RCIS2021-degradation-bearing-vessels	27bd1a2e3f08c5b42011596aa98e5ac627a416d6	[ "MIT" ]	2	2021-06-21T11:40:38.000Z	2021-12-29T02:40:30.000Z	rul_features/computed_features/basic_statistical.py	chenzhengkun7/RCIS2021-degradation-estimation-bearing-vessels	27bd1a2e3f08c5b42011596aa98e5ac627a416d6	[ "MIT" ]	2	2021-04-08T11:30:28.000Z	2021-04-12T06:41:31.000Z	rul_features/computed_features/basic_statistical.py	chenzhengkun7/RCIS2021-degradation-estimation-bearing-vessels	27bd1a2e3f08c5b42011596aa98e5ac627a416d6	[ "MIT" ]	2	2021-06-21T11:40:43.000Z	2021-12-29T02:36:51.000Z	""" Contains all basic statistical features that can be computed from one observation. """ import pandas as pd import numpy as np import tsfresh.feature_extraction.feature_calculators as tsf import math np.seterr('raise') """ Vibration Features: - Basic statistical - Entropy features - frequency features """ # ...	29.931034	88	0.767665	363	2,604	5.206612	0.212121	0.304762	0.2	0.228571	0.634921	0.528571	0.492063	0.397884	0.258201	0.15873	0.008889	0.135945	2,604	87	89	29.931034	0.831111	0.057988	0.068182	0	0	0.005525	0	0	0	0	0	1	0.318182	false	0	0.090909	0.25	0.795455	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	0	0	1	0	0	0	1	1	0	6
62374556130d0603903be3bb4706b60820b9639b	48,191	py	Python	tests/hikari/impl/test_event_manager.py	IkBenOlie5/hikari	09502f05427ad92b05103bd1a56533296a593755	[ "MIT" ]	null	null	null	tests/hikari/impl/test_event_manager.py	IkBenOlie5/hikari	09502f05427ad92b05103bd1a56533296a593755	[ "MIT" ]	34	2021-10-01T17:08:11.000Z	2022-03-29T02:21:07.000Z	tests/hikari/impl/test_event_manager.py	IkBenOlie5/hikari	09502f05427ad92b05103bd1a56533296a593755	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # Copyright (c) 2020 Nekokatt # Copyright (c) 2021 davfsa # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the right...	44.497692	120	0.760204	6,134	48,191	5.514998	0.044506	0.111384	0.072364	0.090455	0.909516	0.897071	0.866948	0.841467	0.785096	0.711963	0.011018	0.163765	48,191	1,082	121	44.538817	0.828432	0.022743	0.468586	0	0	0.014594	0.001933	0	0	0	0.304974	1	0.006545	false	0	0.017016	0.002618	0.030105	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	0	0	6
6251ec0dcf2dd0fe1afe67fa6c9fb6c4b36072f0	93	py	Python	src/__init__.py	spitis/PyIndex	b4719440a4ff8e439d570a79067fd5e0eb66b7c0	[ "MIT" ]	14	2016-12-30T16:51:37.000Z	2022-02-13T17:27:48.000Z	src/__init__.py	spitis/PyIndex	b4719440a4ff8e439d570a79067fd5e0eb66b7c0	[ "MIT" ]	null	null	null	src/__init__.py	spitis/PyIndex	b4719440a4ff8e439d570a79067fd5e0eb66b7c0	[ "MIT" ]	3	2018-10-11T18:59:55.000Z	2019-05-31T12:47:57.000Z	from .indices import * from .postings import * from .manager import * from .swhoosh import *	18.6	23	0.741935	12	93	5.75	0.5	0.434783	0	0	0	0	0	0	0	0	0	0.172043	93	4	24	23.25	0.896104	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
625562a8891aaf23e953f5dc08e988873f0a439c	10,314	py	Python	python/stg/models.py	runopti/s	6e642a46de625cbd7a333c1c70fa7a9bee82f717	[ "MIT" ]	55	2020-08-06T22:31:53.000Z	2022-03-21T03:21:10.000Z	python/stg/models.py	runopti/s	6e642a46de625cbd7a333c1c70fa7a9bee82f717	[ "MIT" ]	1	2020-09-20T07:05:00.000Z	2020-09-20T07:05:00.000Z	python/stg/models.py	runopti/s	6e642a46de625cbd7a333c1c70fa7a9bee82f717	[ "MIT" ]	10	2020-07-10T23:21:14.000Z	2022-01-28T20:35:45.000Z	import torch.nn as nn import torch import math import numpy as np from torch.autograd import Variable from .layers import MLPLayer, FeatureSelector, GatingLayer from .losses import PartialLogLikelihood __all__ = ['MLPModel', 'MLPRegressionModel', 'MLPClassificationModel', 'LinearRegressionModel', 'LinearClassificati...	38.059041	124	0.63632	1,234	10,314	5.058347	0.106159	0.047421	0.026914	0.032682	0.800064	0.78933	0.755207	0.745434	0.716597	0.716597	0.005714	0.253345	10,314	271	125	38.059041	0.804831	0.009502	0.663507	0	0	0.016085	0.006669	0	0	0.00369	0	1	0.161137	false	0	0.033175	0.028436	0.407583	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	0	0	6
627b26ea291145821c22507edb77dbb60f152f3b	50	py	Python	aparent/predictor/__init__.py	876lkj/APARENT	5c8b9c038a46b129b5e0e5ce1453c4725b62322e	[ "MIT" ]	20	2019-04-23T20:35:23.000Z	2022-02-02T02:07:06.000Z	aparent/predictor/__init__.py	JoshuaChou2018/aparent	5c8b9c038a46b129b5e0e5ce1453c4725b62322e	[ "MIT" ]	6	2019-10-14T16:35:00.000Z	2021-03-24T17:55:07.000Z	aparent/predictor/__init__.py	JoshuaChou2018/aparent	5c8b9c038a46b129b5e0e5ce1453c4725b62322e	[ "MIT" ]	11	2019-06-10T08:53:57.000Z	2021-01-25T00:54:59.000Z	from aparent.predictor.aparent_predictor import *	25	49	0.86	6	50	7	0.666667	0.761905	0	0	0	0	0	0	0	0	0	0.08	50	1	50	50	0.913043	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
659ee65a9d696fac693364cd7f98e79b8f70d9a8	41	py	Python	pycow/__init__.py	p2k/PyCow	1e2c9a16a9402d9ad4ade8d2fe352bf80606d5e2	[ "Apache-2.0" ]	9	2015-04-10T10:54:34.000Z	2019-08-21T23:18:42.000Z	pycow/__init__.py	p2k/PyCow	1e2c9a16a9402d9ad4ade8d2fe352bf80606d5e2	[ "Apache-2.0" ]	null	null	null	pycow/__init__.py	p2k/PyCow	1e2c9a16a9402d9ad4ade8d2fe352bf80606d5e2	[ "Apache-2.0" ]	3	2017-06-13T08:01:01.000Z	2021-06-30T08:06:09.000Z	from pycow import * from utils import *	10.25	19	0.731707	6	41	5	0.666667	0	0	0	0	0	0	0	0	0	0	0.219512	41	3	20	13.666667	0.9375	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
65c432a2e3d4f38ce8106294845b190fecfba0a3	88	py	Python	utilities.py	epf02013/5sale	2ad7efbaa57be37368e8b3d99104511295b570c9	[ "Apache-2.0" ]	null	null	null	utilities.py	epf02013/5sale	2ad7efbaa57be37368e8b3d99104511295b570c9	[ "Apache-2.0" ]	null	null	null	utilities.py	epf02013/5sale	2ad7efbaa57be37368e8b3d99104511295b570c9	[ "Apache-2.0" ]	null	null	null	from flask import session def calc_index(time) : return time.hour*2+(time.minute/30)	14.666667	36	0.75	15	88	4.333333	0.866667	0	0	0	0	0	0	0	0	0	0.039474	0.136364	88	5	37	17.6	0.815789	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
02b2d44fc78cb452246348774b786d1ace97a208	207	py	Python	src/sage/dynamics/complex_dynamics/all.py	bopopescu/sage	2d495be78e0bdc7a0a635454290b27bb4f5f70f0	[ "BSL-1.0" ]	3	2019-07-15T13:48:24.000Z	2019-11-08T12:31:43.000Z	src/sage/dynamics/complex_dynamics/all.py	bopopescu/sage	2d495be78e0bdc7a0a635454290b27bb4f5f70f0	[ "BSL-1.0" ]	2	2018-10-30T13:40:20.000Z	2020-07-23T12:13:30.000Z	src/sage/dynamics/complex_dynamics/all.py	bopopescu/sage	2d495be78e0bdc7a0a635454290b27bb4f5f70f0	[ "BSL-1.0" ]	7	2021-11-08T10:01:59.000Z	2022-03-03T11:25:52.000Z	from __future__ import absolute_import from sage.misc.lazy_import import lazy_import lazy_import("sage.dynamics.complex_dynamics.mandel_julia", ["mandelbrot_plot", "external_ray", "julia_plot"])	41.4	62	0.78744	27	207	5.555556	0.555556	0.2	0.213333	0	0	0	0	0	0	0	0	0.115942	207	4	63	51.75	0.819672	0	0	0	0	0.386473	0.207729	0	0	0	0	1	0	true	0	0.75	0	0.75	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f30613926c3b4a0d6d5052d965cbb9eb37a99caf	59	py	Python	onyx/database/guild.py	mudkipdev/onyx	333d23c1f83bb2f69a9f570ce874b9d05dc2edda	[ "MIT" ]	null	null	null	onyx/database/guild.py	mudkipdev/onyx	333d23c1f83bb2f69a9f570ce874b9d05dc2edda	[ "MIT" ]	null	null	null	onyx/database/guild.py	mudkipdev/onyx	333d23c1f83bb2f69a9f570ce874b9d05dc2edda	[ "MIT" ]	null	null	null	import discord class CustomGuild(discord.Guild): pass	11.8	33	0.762712	7	59	6.428571	0.857143	0	0	0	0	0	0	0	0	0	0	0.169492	59	4	34	14.75	0.918367	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
f31e08d6345a417d5c8f81582a0d47a1deb30000	42	py	Python	brutejudge/http/base.py	sleirsgoevy/brutejudge	7ffe685c2e424e1b14ae1c27cc2fd0a25751c40e	[ "MIT" ]	1	2021-02-04T00:56:17.000Z	2021-02-04T00:56:17.000Z	brutejudge/http/base.py	sleirsgoevy/brutejudge	7ffe685c2e424e1b14ae1c27cc2fd0a25751c40e	[ "MIT" ]	1	2019-11-11T00:31:03.000Z	2019-12-24T19:57:04.000Z	brutejudge/http/base.py	sleirsgoevy/brutejudge	7ffe685c2e424e1b14ae1c27cc2fd0a25751c40e	[ "MIT" ]	null	null	null	from brutejudge._http.base import Backend	21	41	0.857143	6	42	5.833333	1	0	0	0	0	0	0	0	0	0	0	0.095238	42	1	42	42	0.921053	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
b8359c25087cbb4d85d635f015a274407d344c13	3,803	py	Python	tests/utils_tests/test_inspect.py	jpmallarino/django	659d2421c7adbbcd205604002d521d82d6b0b465	[ "BSD-3-Clause", "0BSD" ]	16	2019-08-10T12:24:06.000Z	2020-05-21T09:11:14.000Z	tests/utils_tests/test_inspect.py	jpmallarino/django	659d2421c7adbbcd205604002d521d82d6b0b465	[ "BSD-3-Clause", "0BSD" ]	12	2019-08-10T11:55:29.000Z	2020-05-21T04:46:30.000Z	tests/utils_tests/test_inspect.py	jpmallarino/django	659d2421c7adbbcd205604002d521d82d6b0b465	[ "BSD-3-Clause", "0BSD" ]	3	2019-08-20T13:29:34.000Z	2020-01-30T22:05:10.000Z	import unittest from django.utils import inspect class Person: def no_arguments(self): return None def one_argument(self, something): return something def just_args(self, args): return args def all_kinds(self, name, address="home", age=25, args, **kwargs): return ...	36.92233	87	0.66579	452	3,803	5.236726	0.106195	0.091255	0.144487	0.076046	0.841994	0.836924	0.812421	0.806506	0.777778	0.720321	0.002697	0.220089	3,803	102	88	37.284314	0.795347	0	0.321429	0	0	0.028925	0	0	0	0	0.309524	1	0.178571	false	0	0.02381	0.059524	0.285714	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	0	0	6
b83ee05d564e08e39f4a4637329d66b925d383e1	32	py	Python	tests/test_training.py	gabrielelanaro/food-pytorch	4b59d6ac2433ec0dba13cfece11aea1e5c1e8e80	[ "MIT" ]	null	null	null	tests/test_training.py	gabrielelanaro/food-pytorch	4b59d6ac2433ec0dba13cfece11aea1e5c1e8e80	[ "MIT" ]	null	null	null	tests/test_training.py	gabrielelanaro/food-pytorch	4b59d6ac2433ec0dba13cfece11aea1e5c1e8e80	[ "MIT" ]	null	null	null	def test_training(): pass	6.4	20	0.625	4	32	4.75	1	0	0	0	0	0	0	0	0	0	0	0.28125	32	4	21	8	0.826087	0	0	0	0	0	0	0	0	0	0	1	0.5	true	0.5	0	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	0	6
b85e5ca2b645fd1831e9e580a3e8ef912e91075e	27,614	py	Python	ndcube/tests/test_sequence_plotting.py	BaptistePellorceAstro/ndcube	eaa2841a6bf90ac2fb2f901747c9a297c0810862	[ "BSD-2-Clause" ]	null	null	null	ndcube/tests/test_sequence_plotting.py	BaptistePellorceAstro/ndcube	eaa2841a6bf90ac2fb2f901747c9a297c0810862	[ "BSD-2-Clause" ]	null	null	null	ndcube/tests/test_sequence_plotting.py	BaptistePellorceAstro/ndcube	eaa2841a6bf90ac2fb2f901747c9a297c0810862	[ "BSD-2-Clause" ]	null	null	null	# -- coding: utf-8 -- import pytest import datetime import numpy as np import astropy.units as u import matplotlib from ndcube import NDCube, NDCubeSequence from ndcube.utils.wcs import WCS import ndcube.mixins.sequence_plotting # Set matplotlib display for testing #matplotlib.use('Agg') # sample data for tests #...	47.692573	99	0.623307	4,132	27,614	3.953533	0.059293	0.016405	0.014079	0.026445	0.859329	0.839128	0.79285	0.758815	0.725331	0.66736	0.066145	0.184798	27,614	578	100	47.775087	0.659544	0.036757	0.5	0	0	0.076266	0.005647	0	0	0.00173	0.075758	1	0.028139	false	0	0.017316	0	0.045455	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	0	0	6
b87e5aeb3f5ebc501a9acdf3179a27b173b631c9	420	py	Python	build-sys/build_sys/__init__.py	lukas-ke/faint-graphics-editor	33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf	[ "Apache-2.0" ]	10	2016-12-28T22:06:31.000Z	2021-05-24T13:42:30.000Z	build-sys/build_sys/__init__.py	lukas-ke/faint-graphics-editor	33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf	[ "Apache-2.0" ]	4	2015-10-09T23:55:10.000Z	2020-04-04T08:09:22.000Z	build-sys/build_sys/__init__.py	lukas-ke/faint-graphics-editor	33eb9e6a3f2216fb2cf6ef9709a14f3d20b78fbf	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/env python3 from . build_sys import build from . build_sys import unknown_version_str from . build_sys import build_installer from . build_sys import parse_command_line from build_sys.opts import BuildOptions import build_sys.gen_method_def as gen_method_def import build_sys.gen_resource as gen_reso...	35	62	0.838095	69	420	4.753623	0.362319	0.219512	0.182927	0.219512	0.140244	0	0	0	0	0	0.002732	0.128571	420	11	63	38.181818	0.893443	0.05	0	0	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	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
b8a4d55eea9894e2226fc3251703985f3a867c6c	37,489	py	Python	usaspending_api/search/tests/unit/test_spending_by_category.py	millerjoey975/usaspending-api	66dd6b231087e92696d0ac09ef7700b6069829ad	[ "CC0-1.0" ]	1	2022-01-28T16:08:04.000Z	2022-01-28T16:08:04.000Z	usaspending_api/search/tests/unit/test_spending_by_category.py	millerjoey975/usaspending-api	66dd6b231087e92696d0ac09ef7700b6069829ad	[ "CC0-1.0" ]	null	null	null	usaspending_api/search/tests/unit/test_spending_by_category.py	millerjoey975/usaspending-api	66dd6b231087e92696d0ac09ef7700b6069829ad	[ "CC0-1.0" ]	null	null	null	import pytest from model_mommy import mommy from usaspending_api.common.helpers.generic_helper import get_time_period_message from usaspending_api.search.tests.data.utilities import setup_elasticsearch_test from usaspending_api.search.v2.views.spending_by_category_views.spending_by_agency_types import ( AwardingA...	35.635932	120	0.655045	4,209	37,489	5.537182	0.059872	0.042865	0.052776	0.045396	0.876169	0.838025	0.82601	0.767871	0.751824	0.744701	0.05013	0.211956	37,489	1,051	121	35.669838	0.738754	0	0.690286	0	0	0.233428	0.05679	0	0	0	0.026286	1	0.034286	false	0	0.010286	0	0.044571	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	0	0	6
b28a8078f564deffd83a21b58f3a6d6aa2b0c0d8	17,402	py	Python	wikiwho_wrapper/views.py	robertour/wikiwho_wrapper	5390341d6ee8dbdd91168f61a53dfe2cd1d8e9ff	[ "MIT" ]	3	2020-11-26T03:33:47.000Z	2021-03-12T17:24:31.000Z	wikiwho_wrapper/views.py	robertour/wikiwho_wrapper	5390341d6ee8dbdd91168f61a53dfe2cd1d8e9ff	[ "MIT" ]	1	2020-04-13T23:06:56.000Z	2020-04-13T23:06:56.000Z	wikiwho_wrapper/views.py	robertour/wikiwho_wrapper	5390341d6ee8dbdd91168f61a53dfe2cd1d8e9ff	[ "MIT" ]	null	null	null	"""Summary """ import pandas as pd import itertools from typing import Union import deprecation from .api import WikiWhoAPI from . import __version__ class DataView: """Qurey methods for correspondence of the WikiWhoAPI methods Attributes: api (TYPE): Description """ d...	42.756757	192	0.514941	2,027	17,402	4.211643	0.076961	0.03397	0.02249	0.016868	0.805318	0.787045	0.764906	0.753426	0.748975	0.73937	0.005224	0.384036	17,402	406	193	42.862069	0.791212	0.275773	0.658333	0	0	0.119073	0	0	0	0	0	1	0.041667	false	0	0.025	0	0.120833	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	0	0	6
b2a05a157e8340ebdd20fdda596698afe6cf8cf8	202	py	Python	colour/colorimetry/datasets/light_sources/__init__.py	BPearlstine/colour	40f0281295496774d2a19eee017d50fd0c265bd8	[ "Cube", "BSD-3-Clause" ]	2	2020-05-03T20:15:42.000Z	2021-04-09T18:19:06.000Z	colour/colorimetry/datasets/light_sources/__init__.py	BPearlstine/colour	40f0281295496774d2a19eee017d50fd0c265bd8	[ "Cube", "BSD-3-Clause" ]	null	null	null	colour/colorimetry/datasets/light_sources/__init__.py	BPearlstine/colour	40f0281295496774d2a19eee017d50fd0c265bd8	[ "Cube", "BSD-3-Clause" ]	1	2019-12-11T19:48:27.000Z	2019-12-11T19:48:27.000Z	# -- coding: utf-8 -- from __future__ import absolute_import from .chromaticity_coordinates import LIGHT_SOURCES from .sds import LIGHT_SOURCES_SDS __all__ = ['LIGHT_SOURCES', 'LIGHT_SOURCES_SDS']	22.444444	51	0.787129	26	202	5.5	0.5	0.335664	0.251748	0	0	0	0	0	0	0	0.005618	0.118812	202	8	52	25.25	0.797753	0.10396	0	0	0	0.167598	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
a24a386fb31b926f4a3f2624fcb3841bbc0fbd5c	93	py	Python	migration.py	FromSi/TP_bot	2a3487f517d3a9d13a95607e5c7b3157b37154cb	[ "MIT" ]	1	2020-11-23T12:23:12.000Z	2020-11-23T12:23:12.000Z	migration.py	FromSi/TP_bot	2a3487f517d3a9d13a95607e5c7b3157b37154cb	[ "MIT" ]	2	2021-06-01T23:59:48.000Z	2021-12-13T20:06:41.000Z	migration.py	FromSi/TP_bot	2a3487f517d3a9d13a95607e5c7b3157b37154cb	[ "MIT" ]	1	2019-08-30T06:04:12.000Z	2019-08-30T06:04:12.000Z	from bot import manager from bot import models if __name__ == '__main__': manager.run()	15.5	26	0.72043	13	93	4.538462	0.692308	0.237288	0.440678	0	0	0	0	0	0	0	0	0.193548	93	6	27	15.5	0.786667	0	0	0	0	0.085106	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
a29dfe8c7ef29c7b4b4f9bc08dfe3e25b01760ee	25,611	py	Python	mayan/apps/document_states/tests/test_api.py	nadwiabd/insight_edms	90a09d7ca77cb111c791e307b55a603e82042dfe	[ "Apache-2.0" ]	null	null	null	mayan/apps/document_states/tests/test_api.py	nadwiabd/insight_edms	90a09d7ca77cb111c791e307b55a603e82042dfe	[ "Apache-2.0" ]	null	null	null	mayan/apps/document_states/tests/test_api.py	nadwiabd/insight_edms	90a09d7ca77cb111c791e307b55a603e82042dfe	[ "Apache-2.0" ]	null	null	null	from __future__ import absolute_import, unicode_literals from django.contrib.auth import get_user_model from django.contrib.auth.models import Group from django.core.urlresolvers import reverse from django.test import override_settings from rest_framework.test import APITestCase from acls.models import AccessControl...	32.134253	98	0.639608	2,639	25,611	5.859038	0.050777	0.07761	0.052775	0.038417	0.879317	0.8528	0.812508	0.788708	0.73755	0.683029	0.001881	0.273398	25,611	796	99	32.174623	0.829007	0.003046	0.628389	0	0	0.057932	0.040227	0	0	0	0.063796	1	0.090909	false	0.019139	0.027113	0.001595	0.127592	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	0	0	6
a2b2f4a6d82acdb4737c1aa10ddfde50d69630b8	45	py	Python	stringcluster/__init__.py	chris-santiago/stringcluster	c3971e8ab585e422d022870aaf42539d3f2f7503	[ "MIT" ]	null	null	null	stringcluster/__init__.py	chris-santiago/stringcluster	c3971e8ab585e422d022870aaf42539d3f2f7503	[ "MIT" ]	null	null	null	stringcluster/__init__.py	chris-santiago/stringcluster	c3971e8ab585e422d022870aaf42539d3f2f7503	[ "MIT" ]	null	null	null	from .base import STOP_TOKENS, StringCluster	22.5	44	0.844444	6	45	6.166667	1	0	0	0	0	0	0	0	0	0	0	0.111111	45	1	45	45	0.925	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0c440055e91cb43ad7881803b3e421f0b435fed0	259	py	Python	django_productline/features/multilanguage_switcher/feature.py	henzk/django-productline	24ff156924c1a8c07b99cbb8a1de0a42b8d81f60	[ "MIT" ]	5	2015-06-16T17:36:33.000Z	2017-10-17T19:22:59.000Z	django_productline/features/multilanguage_switcher/feature.py	henzk/django-productline	24ff156924c1a8c07b99cbb8a1de0a42b8d81f60	[ "MIT" ]	8	2016-03-14T09:02:13.000Z	2017-11-16T16:00:31.000Z	django_productline/features/djpladmin/feature.py	henzk/django-productline	24ff156924c1a8c07b99cbb8a1de0a42b8d81f60	[ "MIT" ]	17	2015-08-04T18:45:18.000Z	2017-11-16T14:52:46.000Z	def select(composer): from . import settings import django_productline.settings composer.compose(settings, django_productline.settings) from . import urls import django_productline.urls composer.compose(urls, django_productline.urls)	28.777778	59	0.76834	29	259	6.724138	0.344828	0.348718	0.235897	0	0	0	0	0	0	0	0	0.166023	259	8	60	32.375	0.902778	0	0	0	0	0	0	0	0	0	0	1	0.142857	false	0	0.571429	0	0.714286	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
0c4b6b5bd509a00536dc3aa59fdbd0961f16a0a2	655	py	Python	artssat/scattering/psd/__init__.py	simonpf/pARTS	b4d9f4c2ceac594273c5589e44fe6a3a4f8d7028	[ "MIT" ]	3	2020-09-02T08:20:42.000Z	2020-12-18T17:19:38.000Z	artssat/scattering/psd/__init__.py	simonpf/pARTS	b4d9f4c2ceac594273c5589e44fe6a3a4f8d7028	[ "MIT" ]	null	null	null	artssat/scattering/psd/__init__.py	simonpf/pARTS	b4d9f4c2ceac594273c5589e44fe6a3a4f8d7028	[ "MIT" ]	null	null	null	""" The PSD Submodule ================= The PSD submodule provides implementations of various particle size distributions for the use in scattering calculations. In addition to that, :code:`artssat.scattering.psd.arts` subpackage defines the interface for PSDs in ARTS, while the :code:`artssat.scattering.psd.data` su...	36.388889	77	0.778626	90	655	5.655556	0.444444	0.233792	0.275049	0.235756	0	0	0	0	0	0	0.028169	0.132824	655	17	78	38.529412	0.867958	0.575573	0	0	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	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0c629c3c1d17c38c68d1c9fa864f0987276a879a	377	py	Python	stapy/sta/entities/__init__.py	zMoooooritz/STApy	022183e0a35ba0d73b97986a695b2a1e6bd0c77c	[ "MIT" ]	8	2021-09-02T18:53:19.000Z	2022-03-10T13:40:57.000Z	stapy/sta/entities/__init__.py	zMoooooritz/stapy	022183e0a35ba0d73b97986a695b2a1e6bd0c77c	[ "MIT" ]	20	2021-08-30T19:06:30.000Z	2022-03-15T21:16:53.000Z	stapy/sta/entities/__init__.py	zMoooooritz/stapy	022183e0a35ba0d73b97986a695b2a1e6bd0c77c	[ "MIT" ]	null	null	null	from stapy.sta.entities.location import Location from stapy.sta.entities.featureofinterest import FeatureOfInterest from stapy.sta.entities.observation import Observation from stapy.sta.entities.observedproperty import ObservedProperty from stapy.sta.entities.datastream import Datastream from stapy.sta.entities.sensor ...	47.125	66	0.870027	49	377	6.693878	0.244898	0.192073	0.256098	0.426829	0	0	0	0	0	0	0	0.074271	377	7	67	53.857143	0.939828	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a7c66e10994a2dd58f333b10e6983d307afdee7b	40	py	Python	src/models/segmentation/standalone/__init__.py	Alicegaz/torchok	7b8f95df466a25b1ad8ee93bed1a3c7516440cf4	[ "Apache-2.0" ]	8	2021-10-12T05:39:20.000Z	2022-03-31T10:55:01.000Z	src/models/segmentation/standalone/__init__.py	Alicegaz/torchok	7b8f95df466a25b1ad8ee93bed1a3c7516440cf4	[ "Apache-2.0" ]	1	2022-03-30T19:23:42.000Z	2022-03-30T19:23:42.000Z	src/models/segmentation/standalone/__init__.py	Alicegaz/torchok	7b8f95df466a25b1ad8ee93bed1a3c7516440cf4	[ "Apache-2.0" ]	5	2021-11-17T07:38:28.000Z	2022-01-31T10:46:36.000Z	from . import u2net from . import hrnet	13.333333	19	0.75	6	40	5	0.666667	0.666667	0	0	0	0	0	0	0	0	0.03125	0.2	40	2	20	20	0.90625	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
ac25b06598f224a845ed47e3f2bc9b9bda656305	251	py	Python	examples/user_defined_threads_example/test3.py	egineering-llc/egat	63a172276b554ae1c7d0f13ba305881201c49d55	[ "MIT" ]	4	2016-01-15T13:23:59.000Z	2020-07-01T19:00:51.000Z	examples/auto_threaded_example/test3.py	egineering-llc/egat	63a172276b554ae1c7d0f13ba305881201c49d55	[ "MIT" ]	null	null	null	examples/auto_threaded_example/test3.py	egineering-llc/egat	63a172276b554ae1c7d0f13ba305881201c49d55	[ "MIT" ]	5	2015-09-17T17:56:12.000Z	2019-02-11T16:19:18.000Z	import egat.testset as testset class Test3(testset.UnorderedTestSet): def test3_1(self): pass def test3_2(self): pass def test3_3(self): pass def test3_4(self): pass def test3_5(self): pass	17.928571	38	0.593625	34	251	4.235294	0.441176	0.277778	0.305556	0.444444	0	0	0	0	0	0	0.065089	0.326693	251	13	39	19.307692	0.786982	0	0.416667	0	0	0	0	0	0	0	0	1	0.416667	false	0.416667	0.083333	0	0.583333	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	0	0	1	0	1	0	0	1	0	6
ac2ba40b8460517dd9ea356db585c57c3dd61ad8	138	py	Python	scripts/npc/autogen_9000133.py	hsienjan/SideQuest-Server	3e88debaf45615b759d999255908f99a15283695	[ "MIT" ]	null	null	null	scripts/npc/autogen_9000133.py	hsienjan/SideQuest-Server	3e88debaf45615b759d999255908f99a15283695	[ "MIT" ]	null	null	null	scripts/npc/autogen_9000133.py	hsienjan/SideQuest-Server	3e88debaf45615b759d999255908f99a15283695	[ "MIT" ]	null	null	null	# Character field ID when accessed: 820000000 # ObjectID: 1000035 # ParentID: 9000133 # Object Position Y: -281 # Object Position X: -257	23	45	0.746377	18	138	5.722222	0.888889	0.271845	0	0	0	0	0	0	0	0	0.252174	0.166667	138	5	46	27.6	0.643478	0.92029	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	1	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	6
ac5dc56292104fdbfd0c699ae4c8b0d75852e922	41	py	Python	8_kyu/Third_Angle_of_a_Triangle.py	UlrichBerntien/Codewars-Katas	bbd025e67aa352d313564d3862db19fffa39f552	[ "MIT" ]	null	null	null	8_kyu/Third_Angle_of_a_Triangle.py	UlrichBerntien/Codewars-Katas	bbd025e67aa352d313564d3862db19fffa39f552	[ "MIT" ]	null	null	null	8_kyu/Third_Angle_of_a_Triangle.py	UlrichBerntien/Codewars-Katas	bbd025e67aa352d313564d3862db19fffa39f552	[ "MIT" ]	null	null	null	def other_angle(a, b): return 180-a-b	20.5	22	0.658537	9	41	2.888889	0.777778	0.153846	0	0	0	0	0	0	0	0	0.090909	0.195122	41	2	23	20.5	0.69697	0	0	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
3bb2135912f7995a7cc118a09b005cefc64443fc	48	py	Python	main.py	43trh/emtweb	018748ec9ec5e7df7a22e4d97334eec1fee9c8c4	[ "MIT" ]	1	2021-02-25T17:31:19.000Z	2021-02-25T17:31:19.000Z	main.py	43trh/emtweb	018748ec9ec5e7df7a22e4d97334eec1fee9c8c4	[ "MIT" ]	null	null	null	main.py	43trh/emtweb	018748ec9ec5e7df7a22e4d97334eec1fee9c8c4	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # TODO # print('noe')	8	23	0.458333	6	48	3.666667	1	0	0	0	0	0	0	0	0	0	0.027027	0.229167	48	5	24	9.6	0.567568	0.8125	null	0	null	0	0	null	0	0.2	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	null	0	1	0	0	0	1	0	0	0	0	0	6
3bb5714e348f9467cc05831143042906e3a541f3	114	py	Python	cnn-text-classification-zh/tests/__init__.py	chufucun/deep-learning	1c98b0c9c74111d7c34ef81f82ac3b5d2f8560ed	[ "MIT" ]	2	2019-01-23T07:03:10.000Z	2019-01-23T07:05:18.000Z	cnn-text-classification-zh/tests/__init__.py	chufucun/deep-learning	1c98b0c9c74111d7c34ef81f82ac3b5d2f8560ed	[ "MIT" ]	null	null	null	cnn-text-classification-zh/tests/__init__.py	chufucun/deep-learning	1c98b0c9c74111d7c34ef81f82ac3b5d2f8560ed	[ "MIT" ]	null	null	null	#!/usr/bin/env python # encoding: utf-8 import logging from logger_helper import setup_logging setup_logging()	12.666667	39	0.780702	17	114	5.058824	0.764706	0.27907	0	0	0	0	0	0	0	0	0.010101	0.131579	114	8	40	14.25	0.858586	0.315789	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
3bdc07eb40c5085d605b4b0cc466d9a81c50c820	113	py	Python	boa3_test/test_sc/interop_test/contract/UpdateContractTooFewArguments.py	hal0x2328/neo3-boa	6825a3533384cb01660773050719402a9703065b	[ "Apache-2.0" ]	25	2020-07-22T19:37:43.000Z	2022-03-08T03:23:55.000Z	boa3_test/test_sc/interop_test/contract/UpdateContractTooFewArguments.py	hal0x2328/neo3-boa	6825a3533384cb01660773050719402a9703065b	[ "Apache-2.0" ]	419	2020-04-23T17:48:14.000Z	2022-03-31T13:17:45.000Z	boa3_test/test_sc/interop_test/contract/UpdateContractTooFewArguments.py	hal0x2328/neo3-boa	6825a3533384cb01660773050719402a9703065b	[ "Apache-2.0" ]	15	2020-05-21T21:54:24.000Z	2021-11-18T06:17:24.000Z	from boa3.builtin.interop.contract import update_contract def Main(script: bytes): update_contract(script)	18.833333	57	0.79646	15	113	5.866667	0.733333	0.318182	0	0	0	0	0	0	0	0	0.010101	0.123894	113	5	58	22.6	0.878788	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	0	1	0	6
3befbf56f400916524b0a6def92ad55db6623077	199	py	Python	stub_map.py	liderrick/Text-Based-Adventure-Puzzle-Game--New-San-Diego-Saga	862004b65657875042a6246f89d3b4c2dae08f06	[ "MIT" ]	null	null	null	stub_map.py	liderrick/Text-Based-Adventure-Puzzle-Game--New-San-Diego-Saga	862004b65657875042a6246f89d3b4c2dae08f06	[ "MIT" ]	null	null	null	stub_map.py	liderrick/Text-Based-Adventure-Puzzle-Game--New-San-Diego-Saga	862004b65657875042a6246f89d3b4c2dae08f06	[ "MIT" ]	null	null	null	from loaders import CityLoader def get_map_stub(): map_arr, legendary_items, boss_puzzles = CityLoader.parse_json('etc/city/new_san_diego.json') return map_arr, legendary_items, boss_puzzles	39.8	97	0.80402	30	199	4.966667	0.7	0.080537	0.201342	0.268456	0.416107	0.416107	0	0	0	0	0	0.115578	199	4	98	49.75	0.846591	0	0	0	0	0.135678	0.135678	0	0	0	0	1	0.25	true	0	0.25	0	0.75	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	1	0	6
ce1cc6275eca5bdb079ff79b683266e11cea5db0	25	py	Python	pyaztec/__init__.py	DGX2000/PyAztec	b6284bb9dbadc954b5e877dcfc204056705b8205	[ "MIT" ]	null	null	null	pyaztec/__init__.py	DGX2000/PyAztec	b6284bb9dbadc954b5e877dcfc204056705b8205	[ "MIT" ]	null	null	null	pyaztec/__init__.py	DGX2000/PyAztec	b6284bb9dbadc954b5e877dcfc204056705b8205	[ "MIT" ]	null	null	null	from .core import decode	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	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cbeb2606f00414f4b8e43c4f92a6c4931d3b5651	3,545	py	Python	test/t1000/unit/application/result/test_events.py	helcerion/T1000	25684e88dc8adb37fe07ff358f84f797f7b9c716	[ "MIT" ]	1	2021-08-23T01:33:03.000Z	2021-08-23T01:33:03.000Z	test/t1000/unit/application/result/test_events.py	helcerion/T1000	25684e88dc8adb37fe07ff358f84f797f7b9c716	[ "MIT" ]	20	2019-10-29T10:55:27.000Z	2022-03-12T00:04:50.000Z	test/t1000/unit/application/result/test_events.py	helcerion/T1000	25684e88dc8adb37fe07ff358f84f797f7b9c716	[ "MIT" ]	null	null	null	import unittest from unittest.mock import Mock from src.t1000.application.result.events import ConsoleEventsResult, HtmlEventsResult class ConsoleEventsResultTestCase(unittest.TestCase): def test_get_result_ok(self): command = Mock() resource = Mock() resource.get.return_value = {} ...	43.765432	85	0.696474	400	3,545	5.8225	0.1275	0.195792	0.17003	0.077286	0.860455	0.785745	0.741091	0.724775	0.724775	0.724775	0.006329	0.197743	3,545	80	86	44.3125	0.812588	0	0.608696	0	0	0.049083	0	0	0	0	0.144928	1	0.144928	false	0	0.043478	0	0.217391	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	0	0	6
5a63dfc5976ce769be39f7c4a2aace7ad9bdd945	41,322	py	Python	objects.py	jin-hao-chen/yank	8f6b4f70157ac94cb580373a7c2fbdbce7f781f9	[ "MIT" ]	null	null	null	objects.py	jin-hao-chen/yank	8f6b4f70157ac94cb580373a7c2fbdbce7f781f9	[ "MIT" ]	null	null	null	objects.py	jin-hao-chen/yank	8f6b4f70157ac94cb580373a7c2fbdbce7f781f9	[ "MIT" ]	null	null	null	#!/usr/bin/env python # -- coding: utf-8 -- import sys import time import copy from ytypes import * from color_print import fatal_print class NilObj(object): def __init__(self): self.obj_header = ObjHeader(OT_NIL, nil_cls, self) self.nil = None def __hash__(self): return has...	29.473609	107	0.626712	6,101	41,322	3.945255	0.030979	0.054965	0.062817	0.081762	0.841919	0.805276	0.773452	0.742086	0.717408	0.703365	0.0195	0.236775	41,322	1,401	108	29.494647	0.743706	0.007986	0.494737	0	0	0.087281	0	0	0	0	0	1	0.15311	false	0.000957	0.004785	0.03445	0.352153	0.066029	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	0	0	6
5a87f6fff6d2285507da0b2482ecf18ffb90bab6	6,100	py	Python	script/sklearn_like_toolkit/warpper/xgboost_wrapper.py	demetoir/MLtools	8c42fcd4cc71728333d9c116ade639fe57d50d37	[ "MIT" ]	null	null	null	script/sklearn_like_toolkit/warpper/xgboost_wrapper.py	demetoir/MLtools	8c42fcd4cc71728333d9c116ade639fe57d50d37	[ "MIT" ]	null	null	null	script/sklearn_like_toolkit/warpper/xgboost_wrapper.py	demetoir/MLtools	8c42fcd4cc71728333d9c116ade639fe57d50d37	[ "MIT" ]	null	null	null	from hyperopt import hp from script.sklearn_like_toolkit.warpper.base.BaseWrapperClf import BaseWrapperClf from script.sklearn_like_toolkit.warpper.base.MixIn import MetaBaseWrapperClfWithABC, MetaBaseWrapperRegWithABC from script.sklearn_like_toolkit.warpper.base.BaseWrapperReg import BaseWrapperReg import warni...	41.496599	121	0.588197	724	6,100	4.703039	0.156077	0.049339	0.045228	0.064611	0.856094	0.856094	0.848164	0.809692	0.766814	0.766814	0.042506	0.267213	6,100	146	122	41.780822	0.719239	0.162131	0.594059	0	0	0.166835	0	0	0	0	0	1	0.039604	false	0	0.09901	0.019802	0.247525	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	0	0	6
ce7c3f9d96ee9ab0d4a8126a558c11c2ce518f88	21	py	Python	logparser/IPLoM/__init__.py	CUHK-CSE/logalizer	e8d96cd4de1121c5d2b517982c6028cd06e643f1	[ "MIT" ]	859	2017-05-06T03:06:22.000Z	2022-03-31T12:02:29.000Z	logparser/IPLoM/__init__.py	mandychenze/logparser	8f1f1face2c0e270fd9bcecdefe37ebc6ba76e9d	[ "MIT" ]	71	2018-02-24T08:11:32.000Z	2022-03-15T11:44:29.000Z	logparser/IPLoM/__init__.py	mandychenze/logparser	8f1f1face2c0e270fd9bcecdefe37ebc6ba76e9d	[ "MIT" ]	445	2017-06-19T01:26:16.000Z	2022-03-29T08:27:17.000Z	from .IPLoM import *	10.5	20	0.714286	3	21	5	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ce7e39143fff82302ee5c376d158906c8df89acc	171	py	Python	src/nspyre/config/__init__.py	AlexBourassa/nspyre	d254af09c7c8377552e85dba6f60b150fbb8da2e	[ "MIT" ]	8	2019-12-06T14:49:34.000Z	2020-07-03T18:46:45.000Z	src/nspyre/config/__init__.py	nspyre-org/nspyre	d254af09c7c8377552e85dba6f60b150fbb8da2e	[ "BSD-3-Clause" ]	31	2020-09-21T21:01:06.000Z	2021-12-10T03:27:26.000Z	src/nspyre/config/__init__.py	NSpyre-Dev/nspyre	d254af09c7c8377552e85dba6f60b150fbb8da2e	[ "BSD-3-Clause" ]	4	2020-10-07T23:58:13.000Z	2022-03-01T15:22:34.000Z	from .config_files import ( get_config_param, load_config, load_meta_config ) __all__ = [ 'get_config_param', 'load_config', 'load_meta_config' ]	14.25	27	0.672515	21	171	4.761905	0.428571	0.18	0.28	0.36	0.76	0.76	0.76	0.76	0	0	0	0.233918	171	11	28	15.545455	0.763359	0	0	0	0	0.251462	0	0	0	0	0	1	0	false	0	0.1	0	0.1	0	1	0	0	null	0	1	1	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
cec9e1a08ed5c84d46a1b4022019287ae2110da7	6,672	py	Python	hw3/test3.py	rahul-pande/ds501	063453de9bf7bc634422a6710d36715175cbeebf	[ "MIT" ]	null	null	null	hw3/test3.py	rahul-pande/ds501	063453de9bf7bc634422a6710d36715175cbeebf	[ "MIT" ]	null	null	null	hw3/test3.py	rahul-pande/ds501	063453de9bf7bc634422a6710d36715175cbeebf	[ "MIT" ]	null	null	null	from problem3 import * import numpy as np import sys ''' Unit test 2: This file includes unit tests for problem3.py. You could test the correctness of your code by typing `nosetests test3.py` in the terminal. ''' #------------------------------------------------------------------------- def test_python_ve...	24.988764	95	0.429406	922	6,672	3.029284	0.104121	0.095238	0.065879	0.061224	0.816685	0.816685	0.814178	0.797709	0.77193	0.751522	0.049793	0.313699	6,672	266	96	25.082707	0.560166	0.331535	0.681034	0	0	0	0	0	0	0	0.206897	1	0.034483	false	0	0.025862	0	0.060345	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	0	0	6
0c7d8c4d258238891b24cc1a0010bb8f38aef38e	36	py	Python	fython/test/hello/hello_test.py	nicolasessisbreton/fython	988f5a94cee8b16b0000501a22239195c73424a1	[ "Apache-2.0" ]	41	2016-01-21T05:14:45.000Z	2021-11-24T20:37:21.000Z	fython/test/hello/hello_test.py	nicolasessisbreton/fython	988f5a94cee8b16b0000501a22239195c73424a1	[ "Apache-2.0" ]	5	2016-01-21T05:36:37.000Z	2016-08-22T19:26:51.000Z	fython/test/hello/hello_test.py	nicolasessisbreton/fython	988f5a94cee8b16b0000501a22239195c73424a1	[ "Apache-2.0" ]	3	2016-01-23T04:03:44.000Z	2016-08-21T15:58:38.000Z	import fython print(fython.hello())	12	21	0.777778	5	36	5.6	0.8	0	0	0	0	0	0	0	0	0	0	0.083333	36	3	21	12	0.848485	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	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	1	6
0cc876b9e696c890c7df0e4f6126ed57f9217c2a	24,797	py	Python	sdk/python/pulumi_gcp/appengine/standard_app_version.py	dimpu47/pulumi-gcp	38355de300a5768e11c49d344a8165ba0735deed	[ "ECL-2.0", "Apache-2.0" ]	null	null	null	sdk/python/pulumi_gcp/appengine/standard_app_version.py	dimpu47/pulumi-gcp	38355de300a5768e11c49d344a8165ba0735deed	[ "ECL-2.0", "Apache-2.0" ]	null	null	null	sdk/python/pulumi_gcp/appengine/standard_app_version.py	dimpu47/pulumi-gcp	38355de300a5768e11c49d344a8165ba0735deed	[ "ECL-2.0", "Apache-2.0" ]	null	null	null	# coding=utf-8 # * WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. * # * Do not edit by hand unless you're certain you know what you are doing! * import warnings import pulumi import pulumi.runtime from typing import Any, Dict, List, Mapping, Optional, Tuple, Union from .. import ...	59.608173	319	0.692342	2,799	24,797	5.954269	0.122544	0.063363	0.038402	0.049922	0.794792	0.768391	0.75237	0.736709	0.725789	0.724829	0.002793	0.220349	24,797	415	320	59.751807	0.859256	0.478324	0.325472	1	0	0.188198	0.084779	0	0	0	0	1	0.113208	false	0.004717	0.033019	0.009434	0.259434	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6

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