Split (1)

train · 253k rows

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834d7d80737561e04b4fc7112c3661611e80b59c	199	py	Python	setup.py	UbuhingaVizion/ihela-pyhton-client	a5f808a0c138ef407416f0d8548e1ddf8957a12a	[ "MIT" ]	2	2020-12-10T13:20:37.000Z	2021-11-15T02:44:16.000Z	setup.py	UbuhingaVizion/ihela-pyhton-client	a5f808a0c138ef407416f0d8548e1ddf8957a12a	[ "MIT" ]	3	2020-09-19T20:05:23.000Z	2021-06-02T00:46:53.000Z	setup.py	UbuhingaVizion/ihela-pyhton-client	a5f808a0c138ef407416f0d8548e1ddf8957a12a	[ "MIT" ]	4	2020-09-09T16:40:10.000Z	2021-08-03T09:48:34.000Z	#!/usr/bin/env python try: from setuptools import setup except ImportError: from ez_setup import use_setuptools use_setuptools() from setuptools import setup setup(setup_cfg=True)	16.583333	39	0.748744	27	199	5.37037	0.555556	0.193103	0.275862	0.344828	0	0	0	0	0	0	0	0.190955	199	11	40	18.090909	0.900621	0.100503	0.285714	0	0	0	0	0	0	0	0	1	0	true	0	0.571429	0	0.571429	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
55d197f76f27cf4fd77bdcdad5363a4e10ec53a4	59,235	py	Python	welleng/errors/tool_errors.py	mkamyab/welleng	0ab73440e5ac3ad9a67d880658f9cdde33c0e0e7	[ "Apache-2.0" ]	50	2020-12-02T13:53:24.000Z	2022-03-30T15:17:47.000Z	welleng/errors/tool_errors.py	mkamyab/welleng	0ab73440e5ac3ad9a67d880658f9cdde33c0e0e7	[ "Apache-2.0" ]	27	2020-11-27T13:43:47.000Z	2022-02-18T01:54:02.000Z	welleng/errors/tool_errors.py	mkamyab/welleng	0ab73440e5ac3ad9a67d880658f9cdde33c0e0e7	[ "Apache-2.0" ]	20	2020-12-03T18:59:02.000Z	2022-02-16T13:20:55.000Z	import numpy as np from numpy import sin, cos, tan, pi, sqrt from numpy.core.defchararray import index import yaml import os from collections import OrderedDict # import imp # import welleng.error from ..utils import NEV_to_HLA # since this is running on different OS flavors PATH = os.path.dirname(__file__) TOOL_INDE...	29.237414	94	0.526074	7,624	59,235	3.910677	0.047613	0.169344	0.044676	0.06272	0.840047	0.830756	0.819587	0.810599	0.801643	0.797149	0.033181	0.325872	59,235	2,025	95	29.251852	0.713463	0.04212	0.656881	0	0	0.044935	0.003054	0	0	0.000494	0.001223	1	0.04159	false	0	0.004281	0	0.093578	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
55ddad3ef2d8bd73c07b4436b88d53cd4aca1f2e	37,737	py	Python	instances/passenger_demand/pas-20210421-2109-int12e/45.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	instances/passenger_demand/pas-20210421-2109-int12e/45.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	instances/passenger_demand/pas-20210421-2109-int12e/45.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	""" PASSENGERS """ numPassengers = 2757 passenger_arriving = ( (3, 9, 6, 2, 3, 0, 9, 5, 3, 3, 1, 0), # 0 (2, 11, 10, 1, 1, 0, 2, 4, 2, 2, 0, 0), # 1 (1, 10, 5, 3, 2, 0, 5, 12, 6, 3, 1, 0), # 2 (5, 8, 7, 2, 1, 0, 6, 7, 5, 5, 1, 0), # 3 (3, 5, 5, 3, 2, 0, 9, 8, 4, 0, 1, 0), # 4 (1, 9, 11, 4, 1, 0, 7, 7, 6, ...	112.647761	213	0.728012	5,147	37,737	5.335535	0.221877	0.314617	0.249071	0.471925	0.332532	0.330639	0.329692	0.329692	0.329692	0.329692	0.818198	0.119617	37,737	334	214	112.98503	0.008398	0.032091	0.202532	0	0	0	0	0	0	0	0	1	0	false	0.015823	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	0	1	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
364586a9386eababb789e1d7acc8b1a28ee598c8	1,992	py	Python	template.py	vipul43/algorithms	86b74b5e618f98ee6b6a20cb7c5b9513453c3a49	[ "MIT" ]	null	null	null	template.py	vipul43/algorithms	86b74b5e618f98ee6b6a20cb7c5b9513453c3a49	[ "MIT" ]	null	null	null	template.py	vipul43/algorithms	86b74b5e618f98ee6b6a20cb7c5b9513453c3a49	[ "MIT" ]	null	null	null	##HEADING: [PROBLEM NAME] #PROBLEM STATEMENT: """ [PROBLEM STATEMENT LINE1] [PROBLEM STATEMENT LINE1] [PROBLEM STATEMENT LINE1] """ #SOLUTION-1: ([METHOD DESCRIPTION LIKE BRUTE_FORCE, DP_ALGORITHM, GREEDY_ALGORITHM, ITERATIVE_ALGORITHM, RECURSIVE_ALGORITHM]) --> [TIME COMPLEXITY LIKE O(n), O(log2(n)), O(n...	30.646154	218	0.649598	288	1,992	4.423611	0.180556	0.056515	0.042386	0.037677	0.766091	0.766091	0.716641	0.716641	0.716641	0.716641	0.031138	0.161647	1,992	65	219	30.646154	0.731737	0.657631	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	6
366227bc61d1a89a3e2394e39765a398ae255034	215	py	Python	views/systemview.py	KDerec/chesstournamentmanager	2b57d2703d654e4ffc3c44293a031bd596463ba0	[ "MIT" ]	null	null	null	views/systemview.py	KDerec/chesstournamentmanager	2b57d2703d654e4ffc3c44293a031bd596463ba0	[ "MIT" ]	null	null	null	views/systemview.py	KDerec/chesstournamentmanager	2b57d2703d654e4ffc3c44293a031bd596463ba0	[ "MIT" ]	null	null	null	"""Display system message.""" def display_exit_message(): """Display exit message and return a user choice.""" print("Tapez la lettre \"q\" pour confirmez l'arrêt de l'application : ") return input()	23.888889	77	0.669767	29	215	4.896552	0.758621	0.15493	0.253521	0	0	0	0	0	0	0	0	0.190698	215	8	78	26.875	0.816092	0.325581	0	0	0	0.447761	0	0	0	0	0	1	0.333333	true	0	0	0	0.666667	0.333333	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	1	0	6
369dfa16b7a73fcaadbd3384df0b610ba1be1446	685	py	Python	main.py	pythonyhd/pratt_project	5babd7769bc3bb8f7facb32076c6147746fab947	[ "Apache-2.0" ]	2	2019-11-11T11:35:19.000Z	2019-11-22T08:29:05.000Z	main.py	pythonyhd/pratt_project	5babd7769bc3bb8f7facb32076c6147746fab947	[ "Apache-2.0" ]	null	null	null	main.py	pythonyhd/pratt_project	5babd7769bc3bb8f7facb32076c6147746fab947	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- # @Time : 2019/11/11 11:47 # @Author : Yasaka.Yu # @File : main.py from scrapy import cmdline # cmdline.execute('scrapy crawl wxapp'.split()) # 不下载列表页图片 # cmdline.execute('scrapy crawl wxapp_with_img'.split()) # 下载列表页图片 # cmdline.execute('scrapy crawl wxapp_signal'.split()) # 测试偏移量 #...	45.666667	81	0.724088	84	685	5.821429	0.488095	0.229039	0.327198	0.408998	0.374233	0	0	0	0	0	0.021667	0.124088	685	15	82	45.666667	0.793333	0.842336	0	0	0	0.213483	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
36ca690cdebc0d40814075b2c7086c5353c4f4ea	196	py	Python	job/admin.py	HuwangWenjing/online-expirement-project	fcddbead974c79b0077e02a33ddb36c674627a1b	[ "MIT" ]	null	null	null	job/admin.py	HuwangWenjing/online-expirement-project	fcddbead974c79b0077e02a33ddb36c674627a1b	[ "MIT" ]	null	null	null	job/admin.py	HuwangWenjing/online-expirement-project	fcddbead974c79b0077e02a33ddb36c674627a1b	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import sign, teacher, student, course admin.site.register(sign) admin.site.register(teacher) admin.site.register(student) admin.site.register(course)	28	50	0.816327	28	196	5.714286	0.428571	0.225	0.425	0	0	0	0	0	0	0	0	0.076531	196	7	51	28	0.883978	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
36ccdccada8922d1f390d11a0d01196312e75c70	338	py	Python	quickscms/routines/template/scripts/official/rcf.py	GabeCordo/python_node_tor	8d06dda51d8472c84fb1f9a8d00128bc376d59ca	[ "MIT" ]	1	2021-01-19T02:41:54.000Z	2021-01-19T02:41:54.000Z	quickscms/routines/template/scripts/official/rcf.py	GabeCordo/python_node_tor	8d06dda51d8472c84fb1f9a8d00128bc376d59ca	[ "MIT" ]	3	2021-05-21T00:20:55.000Z	2021-05-21T13:52:21.000Z	common/collection/template/scripts/official/rcf.py	GabeCordo/py-acyclic-network	eaef31e819fdc527927b0f10854ec6ac2bf30d26	[ "MIT" ]	1	2021-01-14T02:44:45.000Z	2021-01-14T02:44:45.000Z	############################### # python imports ############################### from sys import path ############################### # python imports ############################### path.append('../custom/') import custom #import all the custom scripts here ############################### # rcf #############...	21.125	49	0.304734	20	338	5.15	0.65	0.252427	0	0	0	0	0	0	0	0	0	0.106509	338	16	50	21.125	0.34106	0.213018	0	0	0	0.133333	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	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
36d6f22f67d7f006dffa292ba46691552258f7bc	260	py	Python	npipes/triggers/uri.py	praxik/nPipes	4edf8fa0d0467e3455941c46e960fdf3f43e2d31	[ "Apache-2.0" ]	null	null	null	npipes/triggers/uri.py	praxik/nPipes	4edf8fa0d0467e3455941c46e960fdf3f43e2d31	[ "Apache-2.0" ]	null	null	null	npipes/triggers/uri.py	praxik/nPipes	4edf8fa0d0467e3455941c46e960fdf3f43e2d31	[ "Apache-2.0" ]	null	null	null	# -- mode: python;-- from ..message.header import Message from ..outcome import Outcome, Success, Failure def sendMessageGet(uri, message:Message) -> Outcome[str, None]: pass def sendMessagePost(uri, message:Message) -> Outcome[str, None]: pass	20	64	0.703846	31	260	5.903226	0.516129	0.10929	0.185792	0.262295	0.382514	0.382514	0.382514	0	0	0	0	0.157692	260	12	65	21.666667	0.835616	0.076923	0.333333	0	0	0	0	0	0	0	0	1	0.333333	false	0.333333	0.333333	0	0.666667	0	0	0	0	null	0	1	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	0	1	1	0	1	0	6
3d47d8e580f35d8c00c882ea0de6e744941e33e1	88	py	Python	src/utils/__init__.py	taonguyen740/flask_based_3tier_framework	f02e492eff0206e661925dddcf0ba978ead38b5e	[ "MIT" ]	null	null	null	src/utils/__init__.py	taonguyen740/flask_based_3tier_framework	f02e492eff0206e661925dddcf0ba978ead38b5e	[ "MIT" ]	null	null	null	src/utils/__init__.py	taonguyen740/flask_based_3tier_framework	f02e492eff0206e661925dddcf0ba978ead38b5e	[ "MIT" ]	null	null	null	from .decorator_all_methods import decorate_all_methods from .exec_time import exec_time	44	55	0.897727	14	88	5.214286	0.571429	0.273973	0	0	0	0	0	0	0	0	0	0.079545	88	2	56	44	0.901235	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
3d5fa2101502e7de9ca80bf5be6d3888e879841a	9,869	py	Python	notebooks/mnist/parse.py	formigone/machine-learning-research	df33eb2ddc9442abc169dc5cc7bc2a8e09712ea4	[ "MIT" ]	null	null	null	notebooks/mnist/parse.py	formigone/machine-learning-research	df33eb2ddc9442abc169dc5cc7bc2a8e09712ea4	[ "MIT" ]	null	null	null	notebooks/mnist/parse.py	formigone/machine-learning-research	df33eb2ddc9442abc169dc5cc7bc2a8e09712ea4	[ "MIT" ]	null	null	null	import numpy as np import matplotlib.pyplot as plt from PIL import Image import sys if len(sys.argv) < 2: print('Usage: %s <file-to-classify>' % sys.argv[0]) file = sys.argv[1] print('Parsing file %s' % file) img = Image.open(file) img = img.resize((28, 28)) img = np.array(img) * 255 # print(img.shape) # print(i...	68.062069	89	0.205695	988	9,869	2.054656	0.110324	0.657143	0.95468	1.231527	0.527094	0.47734	0.47734	0.44532	0.44532	0.44532	0.465872	0.625899	9,869	144	90	68.534722	0.083965	0.005472	0.639098	0	0	0.004383	0	0	0	0	0	1	0	false	0	0.030075	0	0.030075	0.022556	0	0	0	null	1	1	1	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
18710972a72793fd618de5a5c9d69bf04c134f38	142	py	Python	tests/test_ratpy.py	dimatura/ratpy	70e14eec331bf3126821904d7e90b93d1d79a196	[ "MIT" ]	2	2019-06-19T15:15:32.000Z	2021-12-22T21:33:58.000Z	tests/test_ratpy.py	dimatura/ratpy	70e14eec331bf3126821904d7e90b93d1d79a196	[ "MIT" ]	null	null	null	tests/test_ratpy.py	dimatura/ratpy	70e14eec331bf3126821904d7e90b93d1d79a196	[ "MIT" ]	null	null	null	#!/usr/bin/env python # -- coding: utf-8 -- """Tests for `ratpy` package.""" import pytest from ratpy import ratpy from ratpy import cli	14.2	32	0.669014	21	142	4.52381	0.714286	0.189474	0.315789	0	0	0	0	0	0	0	0.008475	0.169014	142	9	33	15.777778	0.79661	0.485915	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a10caf6baec75c9705f34dd01a128c617feca32a	16,948	py	Python	extra/slothclasses/db_commands.py	costaluu/sloth-bot	48727aff5859ec96c48691a638b3b8c0a90c70f9	[ "MIT" ]	null	null	null	extra/slothclasses/db_commands.py	costaluu/sloth-bot	48727aff5859ec96c48691a638b3b8c0a90c70f9	[ "MIT" ]	null	null	null	extra/slothclasses/db_commands.py	costaluu/sloth-bot	48727aff5859ec96c48691a638b3b8c0a90c70f9	[ "MIT" ]	null	null	null	import discord from discord.ext import commands from mysqldb import the_database class SlothClassDatabaseCommands(commands.Cog): """ A class for organizing the bot's table creation/drop/delete/check commands. """ # ======== SlothSkills ========= @commands.command(hidden=True) @commands.has_permissions...	40.448687	165	0.634765	1,962	16,948	5.33945	0.076453	0.069492	0.041237	0.050115	0.844311	0.819588	0.762314	0.733772	0.725181	0.71659	0.004368	0.256962	16,948	419	166	40.448687	0.827523	0.017052	0.558824	0	0.003268	0.357384	0.002855	0	0	0	0	1	0	false	0	0.009804	0	0.111111	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
a15f6c0da2e1b17bde96258a612a766266e306d9	7,900	py	Python	testing/modules/sparsegpregression_test.py	jnkm/MXFusion	cfe90d22b8359dbbdac23714c06fda150eb8851e	[ "Apache-2.0" ]	null	null	null	testing/modules/sparsegpregression_test.py	jnkm/MXFusion	cfe90d22b8359dbbdac23714c06fda150eb8851e	[ "Apache-2.0" ]	null	null	null	testing/modules/sparsegpregression_test.py	jnkm/MXFusion	cfe90d22b8359dbbdac23714c06fda150eb8851e	[ "Apache-2.0" ]	null	null	null	import pytest import mxnet as mx import numpy as np from mxfusion.models import Model from mxfusion.modules.gp_modules import SparseGPRegression from mxfusion.components.distributions.gp.kernels import RBF from mxfusion.components import Variable from mxfusion.inference import Inference, MAP, ModulePredictionAlgorithm,...	46.470588	154	0.661899	1,169	7,900	4.326775	0.112062	0.069197	0.040925	0.012653	0.813167	0.788454	0.788454	0.788454	0.776987	0.752471	0.020218	0.198608	7,900	169	155	46.745562	0.778708	0.017468	0.68254	0	0	0.004513	0	0	0	0.005917	0.071429	1	0.02381	false	0	0.095238	0	0.126984	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
a18b8847929d442afe840a57650ba173dd1412b3	3,046	py	Python	TSSystem/apps/graduation_design/models.py	LittleBai0606/TeachingSecretarySystem	c9067b83f8e1edaf06974db73b7cc47a5b49e0d4	[ "MIT" ]	null	null	null	TSSystem/apps/graduation_design/models.py	LittleBai0606/TeachingSecretarySystem	c9067b83f8e1edaf06974db73b7cc47a5b49e0d4	[ "MIT" ]	5	2020-06-05T18:13:28.000Z	2022-02-11T03:39:14.000Z	TSSystem/apps/graduation_design/models.py	WhiteBrownBottle/TeachingSecretarySystem	c9067b83f8e1edaf06974db73b7cc47a5b49e0d4	[ "MIT" ]	null	null	null	from django.db import models from django.utils import timezone from student.models import Student from teacher.models import Teacher # Create your models here. class ModelFile(models.Model): """ 文档模板 """ file_name = models.CharField(blank=True, null=True, max_length=100, default='暂未命名' , verbose_nam...	32.063158	129	0.700591	414	3,046	4.929952	0.164251	0.161685	0.129348	0.083293	0.784909	0.77462	0.77462	0.77462	0.77462	0.753062	0.008337	0.173014	3,046	94	130	32.404255	0.801906	0.014773	0.6	0	0	0.048481	0	0	0	0	0	1	0.1	false	0	0.08	0.08	0.78	0	0	0	0	null	0	0	0	0	1	1	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	1	0	6
a1affdbf6cc8e4481db9f321e2c1f41aaf894d7e	49	py	Python	tf_tensor_dumper/__init__.py	samikama/tf_tensor_dumper	c6b91612e995c7f2de2b65aca09dd5c577f42013	[ "Apache-2.0" ]	null	null	null	tf_tensor_dumper/__init__.py	samikama/tf_tensor_dumper	c6b91612e995c7f2de2b65aca09dd5c577f42013	[ "Apache-2.0" ]	null	null	null	tf_tensor_dumper/__init__.py	samikama/tf_tensor_dumper	c6b91612e995c7f2de2b65aca09dd5c577f42013	[ "Apache-2.0" ]	null	null	null	from .tensor_dumper import add_dumper, get_dumper	49	49	0.877551	8	49	5	0.75	0	0	0	0	0	0	0	0	0	0	0.081633	49	1	49	49	0.888889	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a1ca161a19ccdd01d456623a562c4d8d3337c3e6	111	py	Python	temboo/core/Library/Socrata/SODA/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	7	2016-03-07T02:07:21.000Z	2022-01-21T02:22:41.000Z	temboo/core/Library/Socrata/SODA/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	null	null	null	temboo/core/Library/Socrata/SODA/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	8	2016-06-14T06:01:11.000Z	2020-04-22T09:21:44.000Z	from temboo.Library.Socrata.SODA.Query import Query, QueryInputSet, QueryResultSet, QueryChoreographyExecution	55.5	110	0.873874	11	111	8.818182	0.909091	0	0	0	0	0	0	0	0	0	0	0.063063	111	1	111	111	0.932692	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a1cb3fed643d4be0bac1c59fbe716bfd17d2f116	37	py	Python	serverless_secrets/__init__.py	trek10inc/serverless-secrets-python	503bf75a587d9b58613c9dc04df0e97d6e131391	[ "MIT" ]	5	2017-09-24T06:21:00.000Z	2020-12-19T07:32:48.000Z	serverless_secrets/__init__.py	imbi7py/serverless-secrets-python	503bf75a587d9b58613c9dc04df0e97d6e131391	[ "MIT" ]	1	2017-10-25T14:30:31.000Z	2017-10-25T14:30:31.000Z	serverless_secrets/__init__.py	imbi7py/serverless-secrets-python	503bf75a587d9b58613c9dc04df0e97d6e131391	[ "MIT" ]	3	2017-10-19T13:46:14.000Z	2020-12-19T07:35:11.000Z	from serverless_secrets.lib import *	18.5	36	0.837838	5	37	6	1	0	0	0	0	0	0	0	0	0	0	0.108108	37	1	37	37	0.909091	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a1e3cf9ccb63e9b8cccb6b6d13c283146df8f691	1,950	py	Python	src/nuclipy/banners.py	prasant-paudel/nuclei-python	53174821f93e4e5a48708b6ac832cf2f74bfa63d	[ "MIT" ]	2	2022-01-06T10:59:22.000Z	2022-03-11T07:16:32.000Z	src/nuclipy/banners.py	prasant-paudel/nuclei-python	53174821f93e4e5a48708b6ac832cf2f74bfa63d	[ "MIT" ]	1	2021-08-18T19:15:24.000Z	2021-12-25T14:49:50.000Z	src/nuclipy/banners.py	prasant-paudel/nuclei-python	53174821f93e4e5a48708b6ac832cf2f74bfa63d	[ "MIT" ]	1	2021-07-26T07:03:23.000Z	2021-07-26T07:03:23.000Z	BANNERS = ''' ___ ____ __ _______/ (_)___ __ __ / __ \/ / / / ___/ / / __ \/ / / / / / / / /_/ / /__/ / / /_/ / /_/ / /_/ /_/\__,_/\___/_/_/ .___/\__, / /_/ /____/ ---split--- __ _ ...	29.104478	54	0.135897	119	1,950	3.151261	0.252101	0.208	0.248	0.245333	0.168	0.117333	0.096	0.064	0.042667	0.042667	0	0.510256	1,950	67	55	29.104478	0.106806	0	0.166667	0	0.075758	0.990981	0.077454	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	0	6
a1e76027227de03e172178b7cac6899461baf120	115	py	Python	project/__init__.py	jlazic/glog-sms-gateway	03fea3715470c19c757e85adf1778fbb086bf8ba	[ "MIT" ]	1	2016-09-02T19:35:32.000Z	2016-09-02T19:35:32.000Z	project/__init__.py	jlazic/glog-sms-gateway	03fea3715470c19c757e85adf1778fbb086bf8ba	[ "MIT" ]	null	null	null	project/__init__.py	jlazic/glog-sms-gateway	03fea3715470c19c757e85adf1778fbb086bf8ba	[ "MIT" ]	1	2018-02-28T23:39:52.000Z	2018-02-28T23:39:52.000Z	from __future__ import absolute_import try: from .celery import app as celery_app except ImportError: pass	19.166667	41	0.782609	16	115	5.25	0.6875	0	0	0	0	0	0	0	0	0	0	0.191304	115	6	42	19.166667	0.903226	0	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.6	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	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
62e0b1b4c36b47c4cbbe7f896e51e398dc21a7f1	22	py	Python	openacademy/__init__.py	Erzihark/openacademy-project	1731af91c55d1d77b8c41ed9b17a0760d1b79e68	[ "Apache-2.0" ]	null	null	null	openacademy/__init__.py	Erzihark/openacademy-project	1731af91c55d1d77b8c41ed9b17a0760d1b79e68	[ "Apache-2.0" ]	null	null	null	openacademy/__init__.py	Erzihark/openacademy-project	1731af91c55d1d77b8c41ed9b17a0760d1b79e68	[ "Apache-2.0" ]	null	null	null	from . import model	5.5	19	0.681818	3	22	5	1	0	0	0	0	0	0	0	0	0	0	0.272727	22	3	20	7.333333	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
62f8542f9fb7ec5bf18dc7494046c3e37c0e91d5	48	py	Python	string_h/reverse.py	hanlingzhi/PackageToPypi-Demo	fcc645279e78d9f0b8b5186f585da2ff41f85dcd	[ "MIT" ]	1	2020-03-10T14:50:32.000Z	2020-03-10T14:50:32.000Z	string_h/reverse.py	hanlingzhi/PackageToPypi-Demo	fcc645279e78d9f0b8b5186f585da2ff41f85dcd	[ "MIT" ]	null	null	null	string_h/reverse.py	hanlingzhi/PackageToPypi-Demo	fcc645279e78d9f0b8b5186f585da2ff41f85dcd	[ "MIT" ]	null	null	null	def str_reverse(a:str)->str: return a[::-1]	16	28	0.604167	9	48	3.111111	0.666667	0	0	0	0	0	0	0	0	0	0.025	0.166667	48	3	29	16	0.675	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	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
1a0dd924b41ad3199947af991065f5bce166b6bc	202	py	Python	flax/error.py	chunkybanana/flax	16ae5432bee26fa5241259c2b5aec9cba2b33df0	[ "MIT" ]	null	null	null	flax/error.py	chunkybanana/flax	16ae5432bee26fa5241259c2b5aec9cba2b33df0	[ "MIT" ]	null	null	null	flax/error.py	chunkybanana/flax	16ae5432bee26fa5241259c2b5aec9cba2b33df0	[ "MIT" ]	null	null	null	import sys from prompt_toolkit import print_formatted_text, HTML def error(msg, exit_status=1): print_formatted_text(HTML("<ansired>" + msg + "</ansired>"), file=sys.stderr) exit(exit_status)	25.25	81	0.737624	29	202	4.896552	0.62069	0.197183	0.253521	0.309859	0	0	0	0	0	0	0.005714	0.133663	202	7	82	28.857143	0.805714	0	0	0	0	0.094059	0	0	0	0	0	1	0.2	false	0	0.4	0	0.6	0.4	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
1a0eea123487cb9d26c063f74b8aede0f84ef73c	1,047	py	Python	tests/test_extract.py	Mark-McAdam/kondoboard-etl	e3d36b87693f71a02f1d295c6b6f9291eb1c5006	[ "MIT" ]	2	2020-05-14T19:53:08.000Z	2020-05-18T17:22:45.000Z	tests/test_extract.py	Mark-McAdam/kondoboard-etl	e3d36b87693f71a02f1d295c6b6f9291eb1c5006	[ "MIT" ]	null	null	null	tests/test_extract.py	Mark-McAdam/kondoboard-etl	e3d36b87693f71a02f1d295c6b6f9291eb1c5006	[ "MIT" ]	3	2020-05-27T18:11:10.000Z	2020-08-31T15:45:05.000Z	from src.app.extract import adzuna, jobsearcher, monster_scraper import pandas as pd def test_adzuna(): df = adzuna() assert list(df.columns) == [ "id", "post_url", "title", "title_keyword", "tags", "description", "company", "publication_date", ...	18.368421	64	0.468004	86	1,047	5.534884	0.372093	0.044118	0.07563	0.119748	0.710084	0.710084	0.710084	0.710084	0.710084	0.710084	0	0.387775	1,047	56	65	18.696429	0.74259	0	0.78	0	0	0.26361	0	0	0	0	0.06	1	0.06	false	0	0.04	0	0.1	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
c52ed76e903daa07b7f916c7ed6177d65109206d	83	py	Python	npnlp/__init__.py	msparapa/npnlp	9158f47def6e6583e662b913ae46be49dafca4f8	[ "MIT" ]	null	null	null	npnlp/__init__.py	msparapa/npnlp	9158f47def6e6583e662b913ae46be49dafca4f8	[ "MIT" ]	null	null	null	npnlp/__init__.py	msparapa/npnlp	9158f47def6e6583e662b913ae46be49dafca4f8	[ "MIT" ]	null	null	null	from .npnlp import minimize, kkt_multipliers from npnlp.release import __version__	27.666667	44	0.855422	11	83	6	0.727273	0.272727	0	0	0	0	0	0	0	0	0	0.108434	83	2	45	41.5	0.891892	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
c53947a6856398971cf84c83418ea06a15edf9b0	268	py	Python	src/security_webcam/__init__.py	hsuanhauliu/security-webcam	0f9a972002508074d8a7397e017c7438d2c3680a	[ "MIT" ]	2	2019-08-13T12:49:33.000Z	2020-10-08T12:56:59.000Z	src/security_webcam/__init__.py	hsuanhauliu/security-webcam	0f9a972002508074d8a7397e017c7438d2c3680a	[ "MIT" ]	null	null	null	src/security_webcam/__init__.py	hsuanhauliu/security-webcam	0f9a972002508074d8a7397e017c7438d2c3680a	[ "MIT" ]	null	null	null	from security_webcam.camera_control import CameraControl from security_webcam.motion_detector import MotionDetector from security_webcam.parser import parse_inputs from security_webcam.video_buffer import VideoBuffer, TemporaryBuffer from security_webcam import utils	44.666667	69	0.902985	34	268	6.852941	0.529412	0.257511	0.386266	0	0	0	0	0	0	0	0	0.078358	268	5	70	53.6	0.94332	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
c54876e834d5ae416f203c11447a480c93df1d6d	56	py	Python	pyia/setup_package.py	alexji/pyia	12ca2636cfccaccdea1461101c7fb3dd2d0b57d4	[ "MIT" ]	15	2018-04-24T17:14:26.000Z	2021-05-14T19:28:10.000Z	pyia/setup_package.py	alexji/pyia	12ca2636cfccaccdea1461101c7fb3dd2d0b57d4	[ "MIT" ]	4	2019-03-11T22:59:36.000Z	2021-10-17T14:37:24.000Z	pyia/setup_package.py	alexji/pyia	12ca2636cfccaccdea1461101c7fb3dd2d0b57d4	[ "MIT" ]	7	2018-04-24T04:15:34.000Z	2021-10-15T21:14:59.000Z	def get_package_data(): return {'pyia': ['data/*']}	18.666667	31	0.589286	7	56	4.428571	0.857143	0	0	0	0	0	0	0	0	0	0	0.160714	56	2	32	28	0.659574	0	0	0	0	0.178571	0	0	0	0	0	1	0.5	true	0	0	0.5	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	0	0	null	0	0	0	0	1	1	0	0	1	1	0	6
c56d25ef382780458c58a73ce6bd95341666226b	168	py	Python	pages/admin.py	mixnix/subject_rate	224fdc7c17afd972596c628bda65a384274ed4a1	[ "MIT" ]	null	null	null	pages/admin.py	mixnix/subject_rate	224fdc7c17afd972596c628bda65a384274ed4a1	[ "MIT" ]	null	null	null	pages/admin.py	mixnix/subject_rate	224fdc7c17afd972596c628bda65a384274ed4a1	[ "MIT" ]	null	null	null	from django.contrib import admin from . import models admin.site.register(models.Review) admin.site.register(models.Professor) admin.site.register(models.CourseName)	21	38	0.821429	23	168	6	0.478261	0.195652	0.369565	0.5	0	0	0	0	0	0	0	0.077381	168	7	39	24	0.890323	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
3d6a47b9828d84e08534381333da11fea5de687b	32,019	py	Python	snip-tensorflow/network.py	isabuster/snip	8e7644edd1f4dcca0f833666cf54474bcacf2aea	[ "MIT" ]	1	2020-09-13T09:18:13.000Z	2020-09-13T09:18:13.000Z	snip-tensorflow/network.py	isabuster/snip	8e7644edd1f4dcca0f833666cf54474bcacf2aea	[ "MIT" ]	null	null	null	snip-tensorflow/network.py	isabuster/snip	8e7644edd1f4dcca0f833666cf54474bcacf2aea	[ "MIT" ]	null	null	null	import tensorflow as tf from functools import reduce from helpers import static_size def load_network( datasource, arch, num_classes, initializer_w_bp, initializer_b_bp, initializer_w_ap, initializer_b_ap, ): networks = { 'lenet300': lambda: LeNet300( initializer_w_bp,...	55.015464	137	0.571817	4,240	32,019	4.153066	0.070519	0.074507	0.093134	0.093021	0.818786	0.791413	0.778693	0.764268	0.728094	0.6972	0.067881	0.255567	32,019	581	138	55.110155	0.670876	0.052531	0.553785	0	0	0.05765	0	0	0	0	0.001992	1	0.047809	false	0.00996	0.005976	0.00996	0.103586	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
3d6dae3d660b4f079b286cd4dab43a1cb7235a05	258,287	py	Python	instances/passenger_demand/pas-20210422-1717-int1/31.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	instances/passenger_demand/pas-20210422-1717-int1/31.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	instances/passenger_demand/pas-20210422-1717-int1/31.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	""" PASSENGERS """ numPassengers = 19048 passenger_arriving = ( (2, 7, 5, 2, 8, 1, 2, 1, 2, 1, 0, 1, 0, 11, 2, 3, 4, 3, 0, 0, 0, 1, 0, 0, 0, 0), # 0 (10, 5, 4, 4, 7, 4, 2, 0, 1, 3, 0, 0, 0, 6, 8, 4, 3, 2, 3, 5, 3, 1, 1, 0, 0, 0), # 1 (8, 6, 11, 4, 2, 2, 4, 3, 3, 0, 1, 1, 0, 4, 4, 5, 3, 6, 1, 1, 0, 4, 0, 2, 0, 0...	276.242781	494	0.769543	32,987	258,287	6.025161	0.216904	0.358638	0.344147	0.652069	0.376444	0.367911	0.365008	0.364273	0.364112	0.364112	0.849799	0.095762	258,287	934	495	276.538544	0.001195	0.015529	0.200873	0	0	0	0	0	0	0	0	1	0	false	0.005459	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	0	1	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
3dc9d67e179aef854c1b01040ce903f476ccf04c	192	py	Python	0301-0400/0383-Ransom Note/0383-Ransom Note.py	jiadaizhao/LeetCode	4ddea0a532fe7c5d053ffbd6870174ec99fc2d60	[ "MIT" ]	49	2018-05-05T02:53:10.000Z	2022-03-30T12:08:09.000Z	0301-0400/0383-Ransom Note/0383-Ransom Note.py	jolly-fellow/LeetCode	ab20b3ec137ed05fad1edda1c30db04ab355486f	[ "MIT" ]	11	2017-12-15T22:31:44.000Z	2020-10-02T12:42:49.000Z	0301-0400/0383-Ransom Note/0383-Ransom Note.py	jolly-fellow/LeetCode	ab20b3ec137ed05fad1edda1c30db04ab355486f	[ "MIT" ]	28	2017-12-05T10:56:51.000Z	2022-01-26T18:18:27.000Z	import collections class Solution: def canConstruct(self, ransomNote: 'str', magazine: 'str') -> 'bool': return not collections.Counter(ransomNote) - collections.Counter(magazine)	38.4	82	0.729167	20	192	7	0.7	0.257143	0	0	0	0	0	0	0	0	0	0.151042	192	4	83	48	0.858896	0	0	0	0	0.052083	0	0	0	0	0	1	0.25	false	0	0.25	0.25	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	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
3dd953d7cbf961786ed0a3c8fb1ebf70972afdb9	138	py	Python	katas/kyu_7/random_case.py	the-zebulan/CodeWars	1eafd1247d60955a5dfb63e4882e8ce86019f43a	[ "MIT" ]	40	2016-03-09T12:26:20.000Z	2022-03-23T08:44:51.000Z	katas/kyu_7/random_case.py	akalynych/CodeWars	1eafd1247d60955a5dfb63e4882e8ce86019f43a	[ "MIT" ]	null	null	null	katas/kyu_7/random_case.py	akalynych/CodeWars	1eafd1247d60955a5dfb63e4882e8ce86019f43a	[ "MIT" ]	36	2016-11-07T19:59:58.000Z	2022-03-31T11:18:27.000Z	from random import choice UP_LOW = (str.upper, str.lower) def random_case(strng): return ''.join(choice(UP_LOW)(a) for a in strng)	17.25	52	0.702899	24	138	3.916667	0.708333	0.170213	0.234043	0	0	0	0	0	0	0	0	0.166667	138	7	53	19.714286	0.817391	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.25	0.25	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	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
9ac59074cc96c2f9c915fb7c81432eaa598edb01	37	py	Python	pyavro/field/__init__.py	mitchelllisle/pavro	b60368d21c1bbc5216d3aa8e6cbe4f873111ef0f	[ "MIT" ]	null	null	null	pyavro/field/__init__.py	mitchelllisle/pavro	b60368d21c1bbc5216d3aa8e6cbe4f873111ef0f	[ "MIT" ]	null	null	null	pyavro/field/__init__.py	mitchelllisle/pavro	b60368d21c1bbc5216d3aa8e6cbe4f873111ef0f	[ "MIT" ]	1	2020-03-15T19:59:02.000Z	2020-03-15T19:59:02.000Z	from pyavro.field.field import Field	18.5	36	0.837838	6	37	5.166667	0.666667	0	0	0	0	0	0	0	0	0	0	0.108108	37	1	37	37	0.939394	0	0	0	0	0	0	0	0	0	0	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9ac69ca0b8530c2b9af8e029aedd7c6d9aea7a34	20	py	Python	keras/wrappers/__init__.py	NPoe/keras	298553d6018d3644d0e865015499b9405e3d6a2c	[ "MIT" ]	1	2018-07-22T03:59:02.000Z	2018-07-22T03:59:02.000Z	keras/wrappers/__init__.py	NPoe/keras	298553d6018d3644d0e865015499b9405e3d6a2c	[ "MIT" ]	null	null	null	keras/wrappers/__init__.py	NPoe/keras	298553d6018d3644d0e865015499b9405e3d6a2c	[ "MIT" ]	1	2022-03-18T03:19:36.000Z	2022-03-18T03:19:36.000Z	from .lime import *	10	19	0.7	3	20	4.666667	1	0	0	0	0	0	0	0	0	0	0	0.2	20	1	20	20	0.875	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9ad7fef74069e39d59d1676ff27c054f9532bbfa	49	py	Python	src/python/bd/common/__init__.py	BombDash/BombDash-server	2403c5396145ea8a3a63bd2089dd7276ef723085	[ "MIT" ]	8	2020-06-12T19:29:32.000Z	2021-11-10T14:06:46.000Z	src/python/bd/common/__init__.py	BombDash/BombDash-server	2403c5396145ea8a3a63bd2089dd7276ef723085	[ "MIT" ]	2	2021-01-20T05:15:13.000Z	2021-12-21T08:33:01.000Z	src/python/bd/common/__init__.py	BombDash/BombDash-server	2403c5396145ea8a3a63bd2089dd7276ef723085	[ "MIT" ]	2	2021-02-05T22:30:16.000Z	2021-03-16T05:49:45.000Z	from . import glowing_profiles, fatality, prefix	24.5	48	0.816327	6	49	6.5	1	0	0	0	0	0	0	0	0	0	0	0.122449	49	1	49	49	0.906977	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9aed292b16d87ffe08e71c855fa80effa9c5c425	27	py	Python	py/exts/assetimport_maya/__init__.py	ddesmond/assetexchange	0f8133b449b41595e22f27f3970bec7ebeee19c1	[ "MIT" ]	null	null	null	py/exts/assetimport_maya/__init__.py	ddesmond/assetexchange	0f8133b449b41595e22f27f3970bec7ebeee19c1	[ "MIT" ]	null	null	null	py/exts/assetimport_maya/__init__.py	ddesmond/assetexchange	0f8133b449b41595e22f27f3970bec7ebeee19c1	[ "MIT" ]	null	null	null	from .pushservice import *	13.5	26	0.777778	3	27	7	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
b108db7055698904073f51b0221b982a66fb0b88	376	py	Python	tests/snippets/hash.py	ypyf/RustPython	86103bfd0187a6073cab91142f698cb6b0a0de51	[ "MIT" ]	1	2021-09-03T15:59:36.000Z	2021-09-03T15:59:36.000Z	tests/snippets/hash.py	ypyf/RustPython	86103bfd0187a6073cab91142f698cb6b0a0de51	[ "MIT" ]	null	null	null	tests/snippets/hash.py	ypyf/RustPython	86103bfd0187a6073cab91142f698cb6b0a0de51	[ "MIT" ]	null	null	null	from testutils import assertRaises class A: pass assert type(hash(None)) is int assert type(hash(object())) is int assert type(hash(A())) is int assert type(hash(1)) is int assert type(hash(1.1)) is int assert type(hash("")) is int with assertRaises(TypeError): hash({}) with assertRaises(TypeError): ...	15.666667	34	0.68883	56	376	4.625	0.321429	0.23166	0.324324	0.289575	0.378378	0.23166	0	0	0	0	0.009615	0.170213	376	23	35	16.347826	0.820513	0	0.2	0	0	0	0	0	0	0	0.666667	1	0	true	0.066667	0.066667	0	0.133333	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	1	1	0	0	0	0	6
b11b881476430e3b5ca078a0c8415b80c727919a	9,280	py	Python	tests/unit/plugins/modules/test_managed_serviceaccount_rbac.py	hanqiuzh/ocmplus.cm	98079701c86ea0d3aa4085642eb978caca1e6203	[ "Apache-2.0" ]	12	2021-11-01T19:15:56.000Z	2021-12-14T16:05:37.000Z	tests/unit/plugins/modules/test_managed_serviceaccount_rbac.py	dtrieu80/ocmplus.cm	972831dc85fd09757ad6e1cb165371948da41ce9	[ "Apache-2.0" ]	92	2022-01-05T16:47:27.000Z	2022-03-31T17:43:02.000Z	tests/unit/plugins/modules/test_managed_serviceaccount_rbac.py	dtrieu80/ocmplus.cm	972831dc85fd09757ad6e1cb165371948da41ce9	[ "Apache-2.0" ]	16	2022-01-04T18:49:36.000Z	2022-03-24T17:07:36.000Z	from __future__ import (absolute_import, division, print_function) __metaclass__ = type import unittest import string import random from unittest.mock import MagicMock from pathlib import Path import ansible_collections.ocmplus.cm.plugins.modules.managed_serviceaccount_rbac as msa_rbac class TestGetRBACTemplateFil...	40.881057	102	0.687716	1,188	9,280	4.979798	0.091751	0.089249	0.0524	0.08215	0.873225	0.858519	0.858519	0.848715	0.819642	0.805105	0.00313	0.208082	9,280	226	103	41.061947	0.801878	0	0.671875	0	0	0.152694	0.126724	0	0	0	0.270833	1	0.140625	false	0	0.036458	0	0.197917	0.005208	0	0	0	null	0	0	0	1	1	1	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
b152100d1670c9c7cd1bc43739595460d03127f3	122	py	Python	TVpy/Layers/all.py	Jitrixis/2ARC-Network-stack	f0f7f68b989c5c6eaca3be46554dd5c7010e1551	[ "MIT" ]	1	2017-08-22T20:44:12.000Z	2017-08-22T20:44:12.000Z	TVpy/Layers/all.py	Jitrixis/2ARC-Network-stack	f0f7f68b989c5c6eaca3be46554dd5c7010e1551	[ "MIT" ]	null	null	null	TVpy/Layers/all.py	Jitrixis/2ARC-Network-stack	f0f7f68b989c5c6eaca3be46554dd5c7010e1551	[ "MIT" ]	null	null	null	__author__ = 'jitrixis' from Data.all import * from Frame.all import * from Packet.all import * from Segment.all import *	20.333333	25	0.754098	18	122	4.888889	0.5	0.409091	0.443182	0	0	0	0	0	0	0	0	0.155738	122	6	25	20.333333	0.854369	0	0	0	0	0.065041	0	0	0	0	0	1	0	false	0	0.8	0	0.8	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
b15ce1ab6f2c6345a514b30cb8c5d14e4506aabd	35	py	Python	beluga/numeric/data_classes/__init__.py	doublefloyd/beluga	740bda376634945ef51bf1cf946fcbe002e9bc7f	[ "MIT" ]	20	2017-10-02T13:09:58.000Z	2022-03-28T20:50:35.000Z	beluga/numeric/data_classes/__init__.py	doublefloyd/beluga	740bda376634945ef51bf1cf946fcbe002e9bc7f	[ "MIT" ]	187	2018-02-04T20:35:03.000Z	2021-01-27T15:04:18.000Z	beluga/numeric/data_classes/__init__.py	doublefloyd/beluga	740bda376634945ef51bf1cf946fcbe002e9bc7f	[ "MIT" ]	12	2018-01-19T04:00:09.000Z	2022-03-28T16:44:17.000Z	from .Trajectory import Trajectory	17.5	34	0.857143	4	35	7.5	0.75	0	0	0	0	0	0	0	0	0	0	0.114286	35	1	35	35	0.967742	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
b162a2edfb255c6f79bada717cd082369aa6c2eb	11,827	py	Python	gr-gsm/python/qa_burst_timeslot_splitter.py	ossiemarks/hackrf-gsm	fc3d690354e3bed8b7f8b2f70c3eaf0ecb74d88c	[ "MIT" ]	6	2021-12-19T07:16:38.000Z	2022-03-19T17:50:51.000Z	gr-gsm/python/qa_burst_timeslot_splitter.py	mapennell/hackrf-gsm	fc3d690354e3bed8b7f8b2f70c3eaf0ecb74d88c	[ "MIT" ]	null	null	null	gr-gsm/python/qa_burst_timeslot_splitter.py	mapennell/hackrf-gsm	fc3d690354e3bed8b7f8b2f70c3eaf0ecb74d88c	[ "MIT" ]	5	2019-09-05T05:49:35.000Z	2021-07-10T20:42:11.000Z	#!/usr/bin/env python # -- coding: utf-8 -- # @file # @author Roman Khassraf <rkhassraf@gmail.com> # @section LICENSE # # Gr-gsm is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 3, or (at your...	73.006173	237	0.817705	590	11,827	16.133898	0.332203	0.023532	0.008509	0.015128	0.048114	0.027734	0	0	0	0	0.721347	0.136129	11,827	161	238	73.459627	0.210336	0.069587	0.295652	0	0	0.656898	0.651328	0	1	0	0.069565	1	0.026087	false	0	0.026087	0	0.06087	0	0	0	1	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	1	null	1	0	0	0	0	0	0	0	0	0	0	6
b16ace4eeb4180d51795b5167c78ac6994100d59	9,375	py	Python	pbj/electrostatics/pb_formulation/formulations.py	kstylesc/PBJ	0a4440b684c1d028341762a275fb3d51956b8301	[ "MIT" ]	null	null	null	pbj/electrostatics/pb_formulation/formulations.py	kstylesc/PBJ	0a4440b684c1d028341762a275fb3d51956b8301	[ "MIT" ]	null	null	null	pbj/electrostatics/pb_formulation/formulations.py	kstylesc/PBJ	0a4440b684c1d028341762a275fb3d51956b8301	[ "MIT" ]	null	null	null	import numpy as np import bempp.api def direct(dirichl_space, neumann_space, q, x_q, ep_in, ep_out, kappa, operator_assembler): from bempp.api.operators.boundary import sparse, laplace, modified_helmholtz identity = sparse.identity(dirichl_space, dirichl_space, dirichl_space) slp_in = laplace.singl...	45.731707	136	0.693013	1,480	9,375	4.131081	0.067568	0.143278	0.11122	0.125613	0.900556	0.859339	0.833497	0.806183	0.774289	0.745175	0.033065	0.16448	9,375	205	137	45.731707	0.747479	0.005867	0.421769	0	0	0	0	0	0	0	0	1	0.095238	false	0	0.054422	0	0.190476	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
492c4742de47fef56ab716bf9df548bbb54cdf64	62	py	Python	what/models/detection/ssd/ssd/__init__.py	wuhanstudio/whitebox-adversarial-toolbox	3c6eaecc130fa987bc470225e259d0b4b58017ce	[ "MIT" ]	2	2022-02-06T17:25:31.000Z	2022-03-25T13:39:48.000Z	what/models/detection/ssd/ssd/__init__.py	wuhanstudio/whitebox-adversarial-toolbox	3c6eaecc130fa987bc470225e259d0b4b58017ce	[ "MIT" ]	null	null	null	what/models/detection/ssd/ssd/__init__.py	wuhanstudio/whitebox-adversarial-toolbox	3c6eaecc130fa987bc470225e259d0b4b58017ce	[ "MIT" ]	null	null	null	from what.models.detection.ssd.ssd.ssd import SSD, GraphPath	20.666667	60	0.806452	10	62	5	0.7	0.24	0	0	0	0	0	0	0	0	0	0.096774	62	2	61	31	0.892857	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
496e706ce2281410ec0594641f157d57b584ded4	45	py	Python	__init__.py	projectgus/solar_usage	d283ee8a6ef91b6169219a5978e7e7dc180c8214	[ "MIT" ]	1	2022-02-01T01:15:26.000Z	2022-02-01T01:15:26.000Z	__init__.py	projectgus/solar_usage	d283ee8a6ef91b6169219a5978e7e7dc180c8214	[ "MIT" ]	null	null	null	__init__.py	projectgus/solar_usage	d283ee8a6ef91b6169219a5978e7e7dc180c8214	[ "MIT" ]	null	null	null	from . import solar_usage solar_usage.main()	15	25	0.8	7	45	4.857143	0.714286	0.588235	0	0	0	0	0	0	0	0	0	0.111111	45	2	26	22.5	0.85	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
4970f299e77842368cbe5730084d4662a3265355	42	py	Python	bumpfontversion/__init__.py	m4rc1e/bumpfontversion	2cfb5b779875d84edc80154a27d6a28f5907ebb1	[ "Apache-2.0" ]	1	2021-07-16T14:41:23.000Z	2021-07-16T14:41:23.000Z	bumpfontversion/__init__.py	m4rc1e/bumpfontversion	2cfb5b779875d84edc80154a27d6a28f5907ebb1	[ "Apache-2.0" ]	5	2021-08-05T10:57:21.000Z	2022-03-30T11:26:40.000Z	bumpfontversion/__init__.py	m4rc1e/bumpfontversion	2cfb5b779875d84edc80154a27d6a28f5907ebb1	[ "Apache-2.0" ]	null	null	null	from bumpfontversion.__main__ import main	21	41	0.880952	5	42	6.6	0.8	0	0	0	0	0	0	0	0	0	0	0.095238	42	1	42	42	0.868421	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
498530866a5b5c6de0552eaf419abf3ca8e45b13	14,588	py	Python	src/onevision/cv/imgproc/color/yuv.py	phlong3105/onevision	90552b64df7213e7fbe23c80ffd8a89583289433	[ "MIT" ]	2	2022-03-28T09:46:38.000Z	2022-03-28T14:12:32.000Z	src/onevision/cv/imgproc/color/yuv.py	phlong3105/onevision	90552b64df7213e7fbe23c80ffd8a89583289433	[ "MIT" ]	null	null	null	src/onevision/cv/imgproc/color/yuv.py	phlong3105/onevision	90552b64df7213e7fbe23c80ffd8a89583289433	[ "MIT" ]	null	null	null	#!/usr/bin/env python # -- coding: utf-8 -- """YUV color space. """ from __future__ import annotations import cv2 import numpy as np import torch from multipledispatch import dispatch from torch import nn from torch import Tensor from torch.nn import functional as F from onevision.cv.imgproc.color.rgb import bgr_...	31.304721	88	0.596312	2,310	14,588	3.674459	0.076623	0.019793	0.007776	0.042413	0.85721	0.829995	0.821277	0.801602	0.777804	0.746701	0.043679	0.273375	14,588	465	89	31.372043	0.757075	0.38703	0.430769	0	0	0.177396	0	0	0	0	0	1	0.102564	false	0	0.076923	0.041026	0.323077	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
b8e9de306e49f06b80af3d03b16cbcef69839dd7	166	py	Python	app/meda_sync_search/transformers/str_transformer.py	DEV3L/meda-sync-search	c67feb2f2b54ba153dc50e9aba5058d4e7948c92	[ "Beerware" ]	null	null	null	app/meda_sync_search/transformers/str_transformer.py	DEV3L/meda-sync-search	c67feb2f2b54ba153dc50e9aba5058d4e7948c92	[ "Beerware" ]	null	null	null	app/meda_sync_search/transformers/str_transformer.py	DEV3L/meda-sync-search	c67feb2f2b54ba153dc50e9aba5058d4e7948c92	[ "Beerware" ]	null	null	null	import fuzzy class StrTransformer: def __init__(self, _str): self._str = _str @property def fuzzy(self): return fuzzy.nysiis(self._str)	16.6	38	0.638554	20	166	4.9	0.55	0.214286	0	0	0	0	0	0	0	0	0	0.271084	166	9	39	18.444444	0.809917	0	0	0	0	0	0	0	0	0	0	1	0.285714	false	0	0.142857	0.142857	0.714286	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
b8eebc26344e767d2761ad6061ca3cf443574d9c	253	py	Python	mmseg/models/segmentors/__init__.py	XDong18/mmsegmentation	9a14288a654b66babfdfe4f6fa77edc4cd127d41	[ "Apache-2.0" ]	null	null	null	mmseg/models/segmentors/__init__.py	XDong18/mmsegmentation	9a14288a654b66babfdfe4f6fa77edc4cd127d41	[ "Apache-2.0" ]	null	null	null	mmseg/models/segmentors/__init__.py	XDong18/mmsegmentation	9a14288a654b66babfdfe4f6fa77edc4cd127d41	[ "Apache-2.0" ]	null	null	null	from .cascade_encoder_decoder import CascadeEncoderDecoder from .encoder_decoder import EncoderDecoder from .multi_head_encoder_decoder import Multi_head_EncoderDecoder __all__ = ['EncoderDecoder', 'CascadeEncoderDecoder', 'Multi_head_EncoderDecoder']	42.166667	82	0.873518	26	253	7.961538	0.384615	0.202899	0.289855	0	0	0	0	0	0	0	0	0.071146	253	5	83	50.6	0.880851	0	0	0	0	0.237154	0.181818	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	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
b8ffd2ff85c47bef29fcdada2125d014ad9faa81	4,973	py	Python	src/parsing/arg-kp.py	UKPLab/acl2022-structure-batches	d7e116c1254ad00d8b59da3116043424a30f6f64	[ "Apache-2.0" ]	null	null	null	src/parsing/arg-kp.py	UKPLab/acl2022-structure-batches	d7e116c1254ad00d8b59da3116043424a30f6f64	[ "Apache-2.0" ]	null	null	null	src/parsing/arg-kp.py	UKPLab/acl2022-structure-batches	d7e116c1254ad00d8b59da3116043424a30f6f64	[ "Apache-2.0" ]	null	null	null	import glob import pandas from parsing.parsing_util import save_topic_folds fold_topics = [ [ ['we should ban the use of child actors', 'we should ban private military companies', 'we should subsidize space exploration', 'we should end affirmative action', 'we should adopt an austerity regime', 'we shoul...	118.404762	706	0.751056	679	4,973	5.481591	0.163476	0.214938	0.035465	0.015046	0.907845	0.896024	0.764643	0.585975	0.414025	0.270822	0.00048	0.162678	4,973	41	707	121.292683	0.893372	0	0.090909	0	0	0.819626	0.007842	0	0	0	0	1	0	false	0	0.090909	0	0.090909	0	0	0	0	null	1	0	0	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	0	6
77028038be2afbb9f871b101ee70e5bab977f5fd	28	py	Python	__init__.py	FarmCodeGary/pelican-yaml-metadata	b26634656ef33197e27ff1eb4e13733cc97647c8	[ "MIT" ]	null	null	null	__init__.py	FarmCodeGary/pelican-yaml-metadata	b26634656ef33197e27ff1eb4e13733cc97647c8	[ "MIT" ]	null	null	null	__init__.py	FarmCodeGary/pelican-yaml-metadata	b26634656ef33197e27ff1eb4e13733cc97647c8	[ "MIT" ]	null	null	null	from .yamlmetadata import *	14	27	0.785714	3	28	7.333333	1	0	0	0	0	0	0	0	0	0	0	0.142857	28	1	28	28	0.916667	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
7743f60c6077222d7cbbde52915a7d7598bbb39f	149	py	Python	docs/conf.py	parth-choudhary/drum	fd62cfc1d7ca36fe2767c7eda9a65f15c74afb34	[ "BSD-2-Clause" ]	265	2015-01-01T10:51:39.000Z	2022-01-29T22:42:52.000Z	docs/conf.py	parth-choudhary/drum	fd62cfc1d7ca36fe2767c7eda9a65f15c74afb34	[ "BSD-2-Clause" ]	39	2015-01-20T01:23:42.000Z	2018-05-28T04:11:08.000Z	docs/conf.py	parth-choudhary/drum	fd62cfc1d7ca36fe2767c7eda9a65f15c74afb34	[ "BSD-2-Clause" ]	104	2015-01-20T01:13:20.000Z	2022-03-26T20:54:10.000Z	from __future__ import unicode_literals # This file is automatically generated via sphinx-me from sphinx_me import setup_conf; setup_conf(globals())	37.25	55	0.838926	22	149	5.318182	0.727273	0.136752	0	0	0	0	0	0	0	0	0	0.114094	149	3	56	49.666667	0.886364	0.33557	0	1	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
7746f99f85eee310d406451a5b733a129379c77c	48	py	Python	src/ralph/urls/__init__.py	DoNnMyTh/ralph	97b91639fa68965ad3fd9d0d2652a6545a2a5b72	[ "Apache-2.0" ]	1	2021-09-14T01:52:23.000Z	2021-09-14T01:52:23.000Z	src/ralph/urls/__init__.py	hq-git/ralph	e2448caf02d6e5abfd81da2cff92aefe0a534883	[ "Apache-2.0" ]	1	2019-05-27T11:57:15.000Z	2019-05-27T11:57:15.000Z	src/ralph/urls/__init__.py	hq-git/ralph	e2448caf02d6e5abfd81da2cff92aefe0a534883	[ "Apache-2.0" ]	null	null	null	from ralph.urls.base import urlpatterns # noqa	24	47	0.791667	7	48	5.428571	1	0	0	0	0	0	0	0	0	0	0	0.145833	48	1	48	48	0.926829	0.083333	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
77565c10408044c9941d17b23c0cd1ff3ae92b91	3,396	py	Python	common/utilities/tests/test_certs.py	tomzo/integration-adaptors	d4f296d3e44475df6f69a78a27fac6ed5b67513b	[ "Apache-2.0" ]	15	2019-08-06T16:08:12.000Z	2021-05-24T13:14:39.000Z	common/utilities/tests/test_certs.py	tomzo/integration-adaptors	d4f296d3e44475df6f69a78a27fac6ed5b67513b	[ "Apache-2.0" ]	179	2020-07-01T08:53:50.000Z	2022-03-11T14:18:39.000Z	common/utilities/tests/test_certs.py	tomzo/integration-adaptors	d4f296d3e44475df6f69a78a27fac6ed5b67513b	[ "Apache-2.0" ]	7	2019-11-12T15:26:34.000Z	2021-04-11T07:23:56.000Z	import pathlib import tempfile import unittest from utilities import certs _TEST_FILE_CONTENTS = 'test-file-contents' class TestCerts(unittest.TestCase): def test_create_certs_files_creates_folders(self): with tempfile.TemporaryDirectory() as temp_dir: certs.Certs.create_certs_files(temp_dir...	55.672131	119	0.716137	421	3,396	5.315914	0.123515	0.071492	0.121537	0.0563	0.852994	0.810098	0.771224	0.718052	0.718052	0.718052	0.004417	0.199941	3,396	60	120	56.6	0.819286	0	0.377778	0	0	0.068316	0	0	0	0	0.288889	1	0.111111	false	0	0.088889	0	0.222222	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
620c292634ed75d83bd9cecaf7e5c207135220fb	160	py	Python	frontend/views.py	dark0ghost/tp_django_react_test	86df391c272e17b45a1595c7c3536c535055119f	[ "MIT" ]	2	2021-06-13T17:29:02.000Z	2021-11-29T08:18:20.000Z	frontend/views.py	dark0ghost/rgram	e459fe7ba1542993473bc0eb2c610d7f7d433d6d	[ "MIT" ]	1	2021-04-15T20:14:36.000Z	2021-04-15T20:14:36.000Z	frontend/views.py	dark0ghost/rgram	e459fe7ba1542993473bc0eb2c610d7f7d433d6d	[ "MIT" ]	null	null	null	from django.http import HttpRequest from django.shortcuts import render def get_react(request: HttpRequest): return render(request, "./build/index.html")	22.857143	48	0.78125	21	160	5.904762	0.714286	0.16129	0	0	0	0	0	0	0	0	0	0.125	160	6	49	26.666667	0.885714	0	0	0	0	0.1125	0	0	0	0	0	1	0.25	false	0	0.5	0.25	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
623e58a64fd2e785caf37aa5623238f9af7ddac2	56	py	Python	qt_material/resources/__init__.py	5yutan5/qt-material	63caf6755d1d00ea66c37d6583077c376a764435	[ "BSD-2-Clause" ]	692	2020-12-06T17:30:05.000Z	2022-03-31T14:12:40.000Z	qt_material/resources/__init__.py	5yutan5/qt-material	63caf6755d1d00ea66c37d6583077c376a764435	[ "BSD-2-Clause" ]	43	2020-12-06T04:19:02.000Z	2022-03-16T15:20:34.000Z	qt_material/resources/__init__.py	5yutan5/qt-material	63caf6755d1d00ea66c37d6583077c376a764435	[ "BSD-2-Clause" ]	93	2020-12-10T08:26:25.000Z	2022-03-29T08:46:46.000Z	from .generate import ResourseGenerator, RESOURCES_PATH	28	55	0.875	6	56	8	1	0	0	0	0	0	0	0	0	0	0	0.089286	56	1	56	56	0.941176	0	0	1	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
6251f762661c2e82e27ec9486e83e9f89cebb517	489	py	Python	test_pyship/test_module_info.py	daobook/pyship	31b8e0b4c1cfc7677d418024f27642183cb1966d	[ "MIT" ]	16	2020-10-28T02:49:39.000Z	2022-03-18T16:50:11.000Z	test_pyship/test_module_info.py	daobook/pyship	31b8e0b4c1cfc7677d418024f27642183cb1966d	[ "MIT" ]	4	2020-12-07T23:20:09.000Z	2020-12-18T03:25:49.000Z	test_pyship/test_module_info.py	daobook/pyship	31b8e0b4c1cfc7677d418024f27642183cb1966d	[ "MIT" ]	1	2022-01-26T11:26:00.000Z	2022-01-26T11:26:00.000Z	from semver import VersionInfo from test_pyship import TstAppDirs, TST_APP_NAME def test_module_info(): # todo: use TargetAppInfo's get_module_info() # for version_string in ["0.0.1", "0.0.2"]: # version = VersionInfo.parse(version_string) # tst_app_dirs = TstAppDirs(TST_APP_NAME, version) ...	28.764706	74	0.699387	67	489	4.791045	0.492537	0.093458	0.093458	0.124611	0	0	0	0	0	0	0.015464	0.206544	489	16	75	30.5625	0.811856	0.670757	0	0	0	0	0	0	0	0.0625	0	1	0.25	true	0.25	0.5	0	0.75	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	1	1	1	0	1	0	6
65a5f3d23cd25aee90d56e7f1071bf1547268236	278	py	Python	batchglm/api/data.py	le-ander/batchglm	31b905b99b6baa7c94b82550d6a74f00d81966ea	[ "BSD-3-Clause" ]	null	null	null	batchglm/api/data.py	le-ander/batchglm	31b905b99b6baa7c94b82550d6a74f00d81966ea	[ "BSD-3-Clause" ]	null	null	null	batchglm/api/data.py	le-ander/batchglm	31b905b99b6baa7c94b82550d6a74f00d81966ea	[ "BSD-3-Clause" ]	null	null	null	from batchglm.data import design_matrix from batchglm.data import constraint_matrix_from_dict, constraint_matrix_from_string, string_constraints_from_dict, \ constraint_system_from_star from batchglm.data import view_coef_names, preview_coef_names, bin_continuous_covariate	55.6	117	0.888489	39	278	5.846154	0.487179	0.157895	0.210526	0.289474	0	0	0	0	0	0	0	0.079137	278	4	118	69.5	0.890625	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.75	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
029669fb1c907cfc00872204ba351fb30da19646	30	py	Python	odoo_vps/__init__.py	mario21ic/odoo_vps	b18e4adf879ca781334042b546f2e3d065e90349	[ "MIT" ]	null	null	null	odoo_vps/__init__.py	mario21ic/odoo_vps	b18e4adf879ca781334042b546f2e3d065e90349	[ "MIT" ]	null	null	null	odoo_vps/__init__.py	mario21ic/odoo_vps	b18e4adf879ca781334042b546f2e3d065e90349	[ "MIT" ]	null	null	null	import res_partner import pdg	10	18	0.866667	5	30	5	0.8	0	0	0	0	0	0	0	0	0	0	0.133333	30	2	19	15	0.961538	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f30960c9f871efa41d32a96a569dbebb64fef9c8	390	py	Python	pydow/signals/__init__.py	gijswobben/pydow-2	e04c1fc37f344988b3a07c4f39b3c43edf3d5bba	[ "MIT" ]	null	null	null	pydow/signals/__init__.py	gijswobben/pydow-2	e04c1fc37f344988b3a07c4f39b3c43edf3d5bba	[ "MIT" ]	null	null	null	pydow/signals/__init__.py	gijswobben/pydow-2	e04c1fc37f344988b3a07c4f39b3c43edf3d5bba	[ "MIT" ]	null	null	null	from blinker import signal signal_navigation_event = signal("signal_navigation_event") signal_state_update = signal("signal_state_update") signal_clear_input_field_event = signal("signal_clear_input_field_event") signal_default_event = signal("signal_default_event") __all__ = ["signal_navigation_event", "signal_sta...	35.454545	118	0.846154	51	390	5.803922	0.254902	0.260135	0.212838	0.273649	0.851351	0.739865	0.739865	0.52027	0.331081	0	0	0.066667	390	10	119	39	0.813187	0	0	0	0	0.471795	0.271795	0	0	0	0	1	0	false	0	0.166667	0	0.166667	0	0	0	0	null	1	1	1	1	1	1	0	0	0	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
b261679480f1c75cd9d6c501b09a4ab9d2891893	330	py	Python	Codewars/8kyu/return-the-day/Python/test.py	RevansChen/online-judge	ad1b07fee7bd3c49418becccda904e17505f3018	[ "MIT" ]	7	2017-09-20T16:40:39.000Z	2021-08-31T18:15:08.000Z	Codewars/8kyu/return-the-day/Python/test.py	RevansChen/online-judge	ad1b07fee7bd3c49418becccda904e17505f3018	[ "MIT" ]	null	null	null	Codewars/8kyu/return-the-day/Python/test.py	RevansChen/online-judge	ad1b07fee7bd3c49418becccda904e17505f3018	[ "MIT" ]	null	null	null	# Python - 3.6.0 test.describe('Fixed tests') test.assert_equals(whatday(1), 'Sunday') test.assert_equals(whatday(2), 'Monday') test.assert_equals(whatday(3), 'Tuesday') test.assert_equals(whatday(8), 'Wrong, please enter a number between 1 and 7') test.assert_equals(whatday(20), 'Wrong, please enter a number between ...	36.666667	79	0.745455	54	330	4.462963	0.481481	0.207469	0.33195	0.477178	0.290456	0.290456	0.290456	0.290456	0.290456	0	0.043771	0.1	330	8	80	41.25	0.767677	0.042424	0	0	0	0.375796	0	0	0	0	0.833333	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	0	0	null	0	0	1	0	0	1	0	0	0	0	0	6
a238c06b26a018246a47faa9f7469c99f51710b2	181	py	Python	rpython/memory/test/test_generational_gc.py	nanjekyejoannah/pypy	e80079fe13c29eda7b2a6b4cd4557051f975a2d9	[ "Apache-2.0", "OpenSSL" ]	381	2018-08-18T03:37:22.000Z	2022-02-06T23:57:36.000Z	rpython/memory/test/test_generational_gc.py	nanjekyejoannah/pypy	e80079fe13c29eda7b2a6b4cd4557051f975a2d9	[ "Apache-2.0", "OpenSSL" ]	16	2018-09-22T18:12:47.000Z	2022-02-22T20:03:59.000Z	rpython/memory/test/test_generational_gc.py	nanjekyejoannah/pypy	e80079fe13c29eda7b2a6b4cd4557051f975a2d9	[ "Apache-2.0", "OpenSSL" ]	55	2015-08-16T02:41:30.000Z	2022-03-20T20:33:35.000Z	from rpython.memory.test import test_semispace_gc class TestGenerationalGC(test_semispace_gc.TestSemiSpaceGC): from rpython.memory.gc.generation import GenerationGC as GCClass	36.2	68	0.856354	23	181	6.565217	0.608696	0.145695	0.225166	0	0	0	0	0	0	0	0	0.093923	181	4	69	45.25	0.920732	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a23d70e1ba3afebfe9ebb568d1da68ea55764115	28,425	py	Python	src/the_tale/the_tale/game/cards/tests/test_requests.py	serhii73/the-tale	ee69b033f57fae5004c14afb51f4a6679b189410	[ "BSD-3-Clause" ]	null	null	null	src/the_tale/the_tale/game/cards/tests/test_requests.py	serhii73/the-tale	ee69b033f57fae5004c14afb51f4a6679b189410	[ "BSD-3-Clause" ]	1	2022-01-18T12:04:47.000Z	2022-01-18T12:04:47.000Z	src/the_tale/the_tale/game/cards/tests/test_requests.py	serhii73/the-tale	ee69b033f57fae5004c14afb51f4a6679b189410	[ "BSD-3-Clause" ]	null	null	null	import smart_imports smart_imports.all() class CardsRequestsTestsBase(utils_testcase.TestCase): def setUp(self): super(CardsRequestsTestsBase, self).setUp() self.place_1, self.place_2, self.place_3 = game_logic.create_test_map() self.account = self.accounts_factory.create_account() ...	42.552395	153	0.669974	3,684	28,425	4.849349	0.062432	0.045564	0.029835	0.026868	0.852617	0.826756	0.812035	0.792387	0.770613	0.753149	0.008234	0.218153	28,425	667	154	42.616192	0.795626	0.004327	0.662037	0	0	0.053467	0.029295	0	0	0	0.150463	1	0.125	false	0	0.00463	0	0.157407	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0c00eb36574ccb0512daf5ec46cf007ed601e93f	3,231	py	Python	nature_datasets/cifar.py	DSciLab/nature_datasets	20644200e5ba8af0439ca6c37f579559ac253292	[ "MIT" ]	null	null	null	nature_datasets/cifar.py	DSciLab/nature_datasets	20644200e5ba8af0439ca6c37f579559ac253292	[ "MIT" ]	null	null	null	nature_datasets/cifar.py	DSciLab/nature_datasets	20644200e5ba8af0439ca6c37f579559ac253292	[ "MIT" ]	null	null	null	import os from torchvision import datasets from torchvision import transforms from torchvision.transforms.transforms import Resize from .utils import LinearNormalize normalize_fn = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) linear_normalize_fn = Linea...	37.569767	72	0.501393	264	3,231	5.935606	0.212121	0.063178	0.045948	0.097001	0.783663	0.783663	0.783663	0.745373	0.745373	0.745373	0.026882	0.424327	3,231	85	73	38.011765	0.815591	0	0.760563	0	0	0.022594	0	0	0	0	0	1	0.028169	false	0	0.070423	0	0.126761	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0c3f7faa319c414c3ca4285127a690a3d365d76b	40	py	Python	rest-api/flask_app/long_task/__init__.py	sinedie/Flask-Svelte-Websockets-Nginx-Docker	76daeec2c76f9f27ca526f53393ab4363020b92b	[ "WTFPL" ]	4	2021-11-21T14:04:15.000Z	2022-03-20T15:28:14.000Z	rest-api/flask_app/long_task/__init__.py	sinedie/Utimate-flask-websocket-template	76daeec2c76f9f27ca526f53393ab4363020b92b	[ "WTFPL" ]	null	null	null	rest-api/flask_app/long_task/__init__.py	sinedie/Utimate-flask-websocket-template	76daeec2c76f9f27ca526f53393ab4363020b92b	[ "WTFPL" ]	null	null	null	from flask_app.long_task.routes import *	40	40	0.85	7	40	4.571429	1	0	0	0	0	0	0	0	0	0	0	0.075	40	1	40	40	0.864865	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0c63fef5822d7b4b3f9e2df4bf61a5b7098baab9	60	py	Python	skforecast/ForecasterAutoregCustom/__init__.py	JoaquinAmatRodrigo/skforecaster	3ab526d63bbb94ae4bd18ae964197042a675a34a	[ "MIT" ]	86	2021-02-25T08:56:45.000Z	2022-03-31T01:33:53.000Z	skforecast/ForecasterAutoregCustom/__init__.py	hdiazsqlr/skforecast	5ee79a51960a27db9e169706014528eae403e1c2	[ "MIT" ]	5	2021-11-30T22:30:45.000Z	2022-03-29T10:21:36.000Z	skforecast/ForecasterAutoregCustom/__init__.py	hdiazsqlr/skforecast	5ee79a51960a27db9e169706014528eae403e1c2	[ "MIT" ]	24	2021-04-04T09:58:26.000Z	2022-03-09T15:55:44.000Z	from .ForecasterAutoregCustom import ForecasterAutoregCustom	60	60	0.933333	4	60	14	0.75	0	0	0	0	0	0	0	0	0	0	0.05	60	1	60	60	0.982456	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a76fa9b357630943e305f4985792533e00971285	240	py	Python	src/mobot_client/models/exceptions.py	mobilecoinofficial/mobot	4872e4308beb5305d88dcace94394aaa251f65e1	[ "MIT" ]	6	2021-07-28T13:49:16.000Z	2022-02-16T22:08:03.000Z	src/mobot_client/models/exceptions.py	mobilecoinofficial/mobot	4872e4308beb5305d88dcace94394aaa251f65e1	[ "MIT" ]	10	2021-08-18T15:18:34.000Z	2021-09-27T21:40:24.000Z	src/mobot_client/models/exceptions.py	mobilecoinofficial/mobot	4872e4308beb5305d88dcace94394aaa251f65e1	[ "MIT" ]	3	2021-07-28T01:17:06.000Z	2021-09-20T21:19:50.000Z	# Copyright (c) 2021 MobileCoin. All rights reserved. from django.db.transaction import DatabaseError class ConcurrentModificationException(DatabaseError): """Raise if we're unable to update a coin with optimistic locking""" pass	34.285714	72	0.779167	29	240	6.448276	0.965517	0	0	0	0	0	0	0	0	0	0.019608	0.15	240	7	73	34.285714	0.897059	0.483333	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	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
a776c1673c0efd0315b927220e0403b3ebfa93e6	2,642	py	Python	lemur/tests/test_domains.py	bunjiboys/lemur	b5fd8020055d8af07bd6f82f4dd38246dca8d0c5	[ "Apache-2.0" ]	null	null	null	lemur/tests/test_domains.py	bunjiboys/lemur	b5fd8020055d8af07bd6f82f4dd38246dca8d0c5	[ "Apache-2.0" ]	2	2020-04-03T09:28:20.000Z	2020-04-04T04:56:35.000Z	lemur/tests/test_domains.py	scriptsrc/lemur	914de78576baf66d8f4c0365d8cedb27c6f70663	[ "Apache-2.0" ]	null	null	null	import pytest from lemur.domains.views import * # noqa from .vectors import VALID_ADMIN_HEADER_TOKEN, VALID_USER_HEADER_TOKEN @pytest.mark.parametrize("token,status", [ (VALID_USER_HEADER_TOKEN, 200), (VALID_ADMIN_HEADER_TOKEN, 200), ('', 401) ]) def test_domain_get(client, token, status): assert ...	30.022727	104	0.71726	358	2,642	4.994413	0.111732	0.166107	0.089485	0.11745	0.940157	0.919463	0.919463	0.919463	0.919463	0.919463	0.037538	0.132854	2,642	87	105	30.367816	0.742907	0.001514	0.681818	0	0	0.040971	0	0	0	0	0.136364	1	0.136364	false	0	0.045455	0	0.181818	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
a7c8a4dbb99ebccd4aefe3170c0e80a9a26db499	47	py	Python	learnhtml/__init__.py	nikitautiu/deephtml	9ef580132feefd862246e8bc1f594329ddd742b0	[ "Apache-2.0" ]	28	2018-12-03T15:41:43.000Z	2021-09-17T10:41:46.000Z	learnhtml/__init__.py	microvn/learnhtml	9ef580132feefd862246e8bc1f594329ddd742b0	[ "Apache-2.0" ]	1	2019-10-23T06:52:14.000Z	2019-10-23T07:59:00.000Z	learnhtml/__init__.py	microvn/learnhtml	9ef580132feefd862246e8bc1f594329ddd742b0	[ "Apache-2.0" ]	5	2020-04-11T06:37:22.000Z	2021-03-02T12:28:05.000Z	from . import features, model_selection, utils	23.5	46	0.808511	6	47	6.166667	1	0	0	0	0	0	0	0	0	0	0	0.12766	47	1	47	47	0.902439	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a7d4b02feaa2510e27d0cf92281a56b358cb7d3d	141	py	Python	shiyanlou_cs596-1805f3c438/mymodule/bars.py	tongxindao/shiyanlou	1d002ea342deb69066c287db9935f77f49f0a09e	[ "Apache-2.0" ]	null	null	null	shiyanlou_cs596-1805f3c438/mymodule/bars.py	tongxindao/shiyanlou	1d002ea342deb69066c287db9935f77f49f0a09e	[ "Apache-2.0" ]	null	null	null	shiyanlou_cs596-1805f3c438/mymodule/bars.py	tongxindao/shiyanlou	1d002ea342deb69066c287db9935f77f49f0a09e	[ "Apache-2.0" ]	null	null	null	""" Bars Module """ def starbar(num): print('' num) def hashbar(num): print('#' * num) def simplebar(num): print('-' * num)	11.75	20	0.531915	17	141	4.411765	0.470588	0.32	0.44	0.373333	0	0	0	0	0	0	0	0.234043	141	11	21	12.818182	0.694444	0.078014	0	0	0	0.02459	0	0	0	0	0	1	0.5	false	0	0	0	0.5	0.5	1	0	0	null	1	1	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	0	0	0	0	0	1	6
38fe67d26781d71f4e3d156fdcbde14f85fb3266	2,930	py	Python	tests/utils/test_audio.py	toddrme2178/audiomate	14e932ce9c0b0bebb895d496cb6054521fc80ab1	[ "MIT" ]	null	null	null	tests/utils/test_audio.py	toddrme2178/audiomate	14e932ce9c0b0bebb895d496cb6054521fc80ab1	[ "MIT" ]	null	null	null	tests/utils/test_audio.py	toddrme2178/audiomate	14e932ce9c0b0bebb895d496cb6054521fc80ab1	[ "MIT" ]	null	null	null	import os import numpy as np import librosa from audiomate.utils import audio def test_read_blocks(tmpdir): wav_path = os.path.join(tmpdir.strpath, 'file.wav') wav_content = np.random.random(10000) librosa.output.write_wav(wav_path, wav_content, 16000) data = [x for x in audio.read_blocks(wav_path,...	34.069767	102	0.679863	475	2,930	4.054737	0.162105	0.083074	0.040498	0.051921	0.847871	0.840602	0.836449	0.807373	0.73001	0.681205	0.084507	0.176109	2,930	85	103	34.470588	0.713339	0	0.655738	0	0	0.016382	0	0	0	0	0.360656	1	0.081967	false	0	0.065574	0	0.147541	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ac395fec13ccaa2a4986eb9c70df628b4d6a14e7	84	py	Python	service1/create.py	pstyp/fortuneteller	c6e3bdcdb6ff2330965a4adc875576575d19293b	[ "MIT" ]	null	null	null	service1/create.py	pstyp/fortuneteller	c6e3bdcdb6ff2330965a4adc875576575d19293b	[ "MIT" ]	null	null	null	service1/create.py	pstyp/fortuneteller	c6e3bdcdb6ff2330965a4adc875576575d19293b	[ "MIT" ]	null	null	null	from application import db from application.models import Fortune db.create_all()	16.8	39	0.821429	12	84	5.666667	0.666667	0.441176	0	0	0	0	0	0	0	0	0	0.130952	84	4	40	21	0.931507	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
3ba99c834c7b68bd0ed17ce8925b4382af2e050c	27,843	py	Python	optimization/pre_optimization/no_gg_sdeta_plots/ma_files/Output/Histos/MadAnalysis5job_0/selection_0.py	sheride/axion_pheno	7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5	[ "MIT" ]	null	null	null	optimization/pre_optimization/no_gg_sdeta_plots/ma_files/Output/Histos/MadAnalysis5job_0/selection_0.py	sheride/axion_pheno	7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5	[ "MIT" ]	null	null	null	optimization/pre_optimization/no_gg_sdeta_plots/ma_files/Output/Histos/MadAnalysis5job_0/selection_0.py	sheride/axion_pheno	7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5	[ "MIT" ]	null	null	null	def selection_0(): # Library import import numpy import matplotlib import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec # Library version matplotlib_version = matplotlib.__version__ numpy_version = numpy.__version__ # Histo binning xBinning = numpy.lin...	143.520619	1,125	0.756564	5,396	27,843	3.768347	0.243514	0.165732	0.242992	0.316514	0.404642	0.404642	0.403167	0.399331	0.397462	0.397462	0.505021	0.059333	27,843	193	1,126	144.264249	0.271353	0.049743	0.185841	0	0.00885	0.039437	0.007569	0	0	0	0	1	0.00885	false	0	0.035398	0	0.044248	0	0	0	0	null	0	1	1	0	0	0	0	0	0	1	0	0	1	1	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
3bb042b059d140b2ca24d651b9f81ffa05bffed2	41	py	Python	spvcm/both_levels/generic/__init__.py	weikang9009/spvcm	00ec35331e0e1a67bcd841a6b3761a23099617f7	[ "MIT" ]	14	2017-05-21T08:29:08.000Z	2021-09-22T00:29:15.000Z	spvcm/both_levels/generic/__init__.py	weikang9009/spvcm	00ec35331e0e1a67bcd841a6b3761a23099617f7	[ "MIT" ]	12	2018-05-11T11:13:21.000Z	2020-02-07T14:23:12.000Z	spvcm/both_levels/generic/__init__.py	weikang9009/spvcm	00ec35331e0e1a67bcd841a6b3761a23099617f7	[ "MIT" ]	8	2017-05-20T00:55:40.000Z	2020-07-02T14:52:49.000Z	from .model import Generic, Base_Generic	20.5	40	0.829268	6	41	5.5	0.833333	0	0	0	0	0	0	0	0	0	0	0.121951	41	1	41	41	0.916667	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
3bd689e55d3fc1fd7cdb42709809f2ada575b55b	743	py	Python	src/py/Mapping.py	gul2u/decipher	512a9860f625472cc0ada0c69f822b8cdcc33d43	[ "MIT" ]	null	null	null	src/py/Mapping.py	gul2u/decipher	512a9860f625472cc0ada0c69f822b8cdcc33d43	[ "MIT" ]	1	2021-06-11T19:53:25.000Z	2021-06-11T19:53:25.000Z	src/py/Mapping.py	gul2u/decipher	512a9860f625472cc0ada0c69f822b8cdcc33d43	[ "MIT" ]	1	2017-10-09T10:54:00.000Z	2017-10-09T10:54:00.000Z	#!/usr/bin/env python """ generated source for module Mapping """ class Mapping(object): """ generated source for class Mapping """ key = [] def __init__(self): """ generated source for method __init__ """ self.key = ["#"]*26 @classmethod def fromTranslation(self, cipher, translati...	27.518519	62	0.581427	82	743	5.109756	0.390244	0.214797	0.257757	0.229117	0.210024	0	0	0	0	0	0.009346	0.279946	743	26	63	28.576923	0.773832	0.327052	0	1	0	0.006494	0	0	0	0	0	1	0.285714	false	0	0	0	0.571429	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	1	0	6
3bfcd517f16a12784f8b4c18b2b187cc31e2580b	44	py	Python	venv/Lib/site-packages/bilibili_api/user.py	Lparksi/bot	8a38953d09436b60e8edff4ebe86bf19fe3b7046	[ "MIT" ]	3	2020-03-31T10:36:31.000Z	2020-04-23T12:01:10.000Z	bilibili_api/user.py	DeSireFire/bilibili_api	23fc1b982cbb7b4a2afbb350fa6fae1b05a41df5	[ "MIT" ]	1	2020-07-16T14:51:26.000Z	2020-07-30T12:46:55.000Z	bilibili_api/user.py	DeSireFire/bilibili_api	23fc1b982cbb7b4a2afbb350fa6fae1b05a41df5	[ "MIT" ]	null	null	null	from .src.user import UserInfo, UserOperate	22	43	0.818182	6	44	6	1	0	0	0	0	0	0	0	0	0	0	0.113636	44	1	44	44	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0218b3113ab8415a9b8afa092eabf915ad20827c	22,888	py	Python	purequant/trade/bitmex.py	cyqdev/PureQuant	ebaac21c2d263ad4632a4318ed0bf92e718b78c2	[ "MIT" ]	null	null	null	purequant/trade/bitmex.py	cyqdev/PureQuant	ebaac21c2d263ad4632a4318ed0bf92e718b78c2	[ "MIT" ]	null	null	null	purequant/trade/bitmex.py	cyqdev/PureQuant	ebaac21c2d263ad4632a4318ed0bf92e718b78c2	[ "MIT" ]	1	2020-12-09T06:42:44.000Z	2020-12-09T06:42:44.000Z	""" bitmex Author: Gary-Hertel Date: 2020/10/27 email: purequant@foxmail.com """ import time from purequant.exchange.bitmex.bitmex import Bitmex from purequant.config import config from purequant.exceptions import * class BITMEX: def __init__(self, access_key, secret_key, instrument_id, leverage=None, testing=...	49.434125	116	0.517258	2,248	22,888	5.04226	0.102758	0.118306	0.051875	0.067755	0.789149	0.775562	0.761094	0.752448	0.723335	0.715395	0.005436	0.373034	22,888	463	117	49.434125	0.78446	0.102281	0.781407	0	0	0.065855	0	0	0	0	0	1	0.035176	false	0	0.01005	0	0.21608	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
021ae2ac2f22937831f2234fa4818ce632b624f2	45	py	Python	PersianStemmer/__init__.py	MrHTZ/PersianStemmer-Python	0fed1e51d11bc718608e42daad4685e1fc50a955	[ "BSD-2-Clause" ]	44	2017-02-16T03:56:08.000Z	2022-02-27T17:31:47.000Z	PersianStemmer/__init__.py	MrHTZ/PersianStemmer-Python	0fed1e51d11bc718608e42daad4685e1fc50a955	[ "BSD-2-Clause" ]	4	2017-03-18T07:07:52.000Z	2021-06-20T10:15:43.000Z	PersianStemmer/__init__.py	MrHTZ/PersianStemmer-Python	0fed1e51d11bc718608e42daad4685e1fc50a955	[ "BSD-2-Clause" ]	13	2017-02-16T03:30:06.000Z	2022-01-27T21:34:12.000Z	from .persian_stemmer import PersianStemmer	15	43	0.866667	5	45	7.6	1	0	0	0	0	0	0	0	0	0	0	0.111111	45	2	44	22.5	0.95	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0230456d4eca9070c12d4f497a54b24929a4c7e6	3,072	py	Python	generativepy/drawing3d.py	LloydTao/generativepy	8bf6afed57200cbebd3163e4fdc730fc8761e753	[ "MIT" ]	58	2019-06-15T16:09:28.000Z	2022-03-25T03:24:26.000Z	generativepy/drawing3d.py	LloydTao/generativepy	8bf6afed57200cbebd3163e4fdc730fc8761e753	[ "MIT" ]	1	2021-09-09T16:12:18.000Z	2021-09-09T18:13:05.000Z	generativepy/drawing3d.py	LloydTao/generativepy	8bf6afed57200cbebd3163e4fdc730fc8761e753	[ "MIT" ]	4	2020-07-26T10:54:19.000Z	2021-11-17T17:24:13.000Z	# Author: Martin McBride # Created: 2021-019-01 # Copyright (C) 2018, Martin McBride # License: MIT import moderngl import numpy as np from PIL import Image from generativepy.color import Color def make_3dimage(outfile, draw, width, height, background=Color(0), channels=3): ''' Create a PNG file using moder...	30.415842	85	0.655599	409	3,072	4.885086	0.217604	0.055055	0.044044	0.064064	0.847848	0.834835	0.802803	0.734234	0.734234	0.708208	0.019583	0.235352	3,072	100	86	30.72	0.830992	0.38151	0.571429	0	0	0.009292	0	0	0	0	0	1	0.095238	false	0	0.095238	0	0.214286	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0253f2d791e34784a2716988f07264ef04a2e9f7	23	py	Python	examples/pytorch/transformer/optims/__init__.py	ketyi/dgl	a1b859c29b63a673c148d13231a49504740e0e01	[ "Apache-2.0" ]	9,516	2018-12-08T22:11:31.000Z	2022-03-31T13:04:33.000Z	examples/pytorch/transformer/optims/__init__.py	ketyi/dgl	a1b859c29b63a673c148d13231a49504740e0e01	[ "Apache-2.0" ]	2,494	2018-12-08T22:43:00.000Z	2022-03-31T21:16:27.000Z	examples/pytorch/transformer/optims/__init__.py	ketyi/dgl	a1b859c29b63a673c148d13231a49504740e0e01	[ "Apache-2.0" ]	2,529	2018-12-08T22:56:14.000Z	2022-03-31T13:07:41.000Z	from .noamopt import *	11.5	22	0.73913	3	23	5.666667	1	0	0	0	0	0	0	0	0	0	0	0.173913	23	1	23	23	0.894737	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
02580c94d5bd172f63846fe2186b41ccecc18df3	2,871	py	Python	huaweicloud-sdk-moderation/huaweicloudsdkmoderation/v1/model/__init__.py	handsome-baby/huaweicloud-sdk-python-v3	6cdcf1da8b098427e58fc3335a387c14df7776d0	[ "Apache-2.0" ]	1	2021-04-16T07:59:28.000Z	2021-04-16T07:59:28.000Z	huaweicloud-sdk-moderation/huaweicloudsdkmoderation/v1/model/__init__.py	Lencof/huaweicloud-sdk-python-v3	d13dc4e2830a83e295be6e4de021999b3376e34e	[ "Apache-2.0" ]	null	null	null	huaweicloud-sdk-moderation/huaweicloudsdkmoderation/v1/model/__init__.py	Lencof/huaweicloud-sdk-python-v3	d13dc4e2830a83e295be6e4de021999b3376e34e	[ "Apache-2.0" ]	1	2022-01-17T02:24:18.000Z	2022-01-17T02:24:18.000Z	# coding: utf-8 from __future__ import absolute_import # import models into model package from huaweicloudsdkmoderation.v1.model.check_result_items_body import CheckResultItemsBody from huaweicloudsdkmoderation.v1.model.check_result_result_body import CheckResultResultBody from huaweicloudsdkmoderation.v1.model.check...	84.441176	124	0.925113	300	2,871	8.533333	0.203333	0.30625	0.328125	0.382813	0.564844	0.549219	0.402734	0.180469	0	0	0.010569	0.044235	2,871	33	125	87	0.922376	0.016022	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
025b41bb8183cef7680fc9922ad47c596b8c661c	2,547	py	Python	epytope/Data/pssms/smmpmbec/mat/B_15_01_10.py	christopher-mohr/epytope	8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd	[ "BSD-3-Clause" ]	7	2021-02-01T18:11:28.000Z	2022-01-31T19:14:07.000Z	epytope/Data/pssms/smmpmbec/mat/B_15_01_10.py	christopher-mohr/epytope	8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd	[ "BSD-3-Clause" ]	22	2021-01-02T15:25:23.000Z	2022-03-14T11:32:53.000Z	epytope/Data/pssms/smmpmbec/mat/B_15_01_10.py	christopher-mohr/epytope	8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd	[ "BSD-3-Clause" ]	4	2021-05-28T08:50:38.000Z	2022-03-14T11:45:32.000Z	B_15_01_10 = {0: {'A': 0.021, 'C': 0.026, 'E': 0.281, 'D': 0.246, 'G': 0.122, 'F': -0.243, 'I': -0.322, 'H': -0.032, 'K': 0.025, 'M': -0.21, 'L': -0.24, 'N': 0.097, 'Q': 0.141, 'P': 0.331, 'S': 0.061, 'R': -0.192, 'T': 0.154, 'W': -0.088, 'V': -0.018, 'Y': -0.16}, 1: {'A': -0.027, 'C': 0.239, 'E': -0.229, 'D': 0.338, '...	2,547	2,547	0.393404	618	2,547	1.616505	0.291262	0.02002	0.008008	0.01001	0.04004	0	0	0	0	0	0.372714	0.162544	2,547	1	2,547	2,547	0.09564	0	0	0	0	0.07967	0	0	0	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	1	1	1	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
028b5381922ead5eb2768a8b8b2cf59ad08210fe	294	py	Python	RecoParticleFlow/PFClusterProducer/python/particleFlowBadHcalPseudoCluster_cff.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	6	2017-09-08T14:12:56.000Z	2022-03-09T23:57:01.000Z	RecoParticleFlow/PFClusterProducer/python/particleFlowBadHcalPseudoCluster_cff.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	545	2017-09-19T17:10:19.000Z	2022-03-07T16:55:27.000Z	RecoParticleFlow/PFClusterProducer/python/particleFlowBadHcalPseudoCluster_cff.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	14	2017-10-04T09:47:21.000Z	2019-10-23T18:04:45.000Z	from RecoParticleFlow.PFClusterProducer.particleFlowBadHcalPseudoCluster_cfi import * # OFF by default, turned on via modifier from Configuration.Eras.Modifier_pf_badHcalMitigation_cff import pf_badHcalMitigation pf_badHcalMitigation.toModify(particleFlowBadHcalPseudoCluster, enable = True)	42	85	0.884354	29	294	8.758621	0.724138	0.224409	0	0	0	0	0	0	0	0	0	0.07483	294	6	86	49	0.933824	0.129252	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5a29cd056bc93e8690bbfd371e1b73176e0ce932	14,657	py	Python	multiple-languages/python/ros-cdk-cas-1.0.4/src/ros_cdk_cas/__init__.py	piotr-kalanski/Resource-Orchestration-Service-Cloud-Development-Kit	2a12deea757ac69e69708dd9fd159fba12cfba0e	[ "Apache-2.0" ]	null	null	null	multiple-languages/python/ros-cdk-cas-1.0.4/src/ros_cdk_cas/__init__.py	piotr-kalanski/Resource-Orchestration-Service-Cloud-Development-Kit	2a12deea757ac69e69708dd9fd159fba12cfba0e	[ "Apache-2.0" ]	null	null	null	multiple-languages/python/ros-cdk-cas-1.0.4/src/ros_cdk_cas/__init__.py	piotr-kalanski/Resource-Orchestration-Service-Cloud-Development-Kit	2a12deea757ac69e69708dd9fd159fba12cfba0e	[ "Apache-2.0" ]	null	null	null	''' ## Aliyun ROS CAS Construct Library This module is part of the AliCloud ROS Cloud Development Kit (ROS CDK) project. ```python import * as CAS from '@alicloud/ros-cdk-cas'; ``` ''' import abc import builtins import datetime import enum import typing import jsii import publication import typing_extensions from ....	37.200508	125	0.651361	1,763	14,657	5.257516	0.080545	0.038839	0.058259	0.111015	0.84076	0.836013	0.816917	0.812385	0.812385	0.784119	0	0.225762	14,657	393	126	37.295165	0.816796	0.209252	0.668016	0	0	0.090826	0.028332	0	0	0	0.024292	1	0.149798	false	0	0.040486	0.032389	0.315789	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
5a2ee27552d1f96d324017b48d32b0254604716e	4,165	py	Python	notebook/pandas_index.py	vhn0912/python-snippets	80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038	[ "MIT" ]	174	2018-05-30T21:14:50.000Z	2022-03-25T07:59:37.000Z	notebook/pandas_index.py	vhn0912/python-snippets	80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038	[ "MIT" ]	5	2019-08-10T03:22:02.000Z	2021-07-12T20:31:17.000Z	notebook/pandas_index.py	vhn0912/python-snippets	80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038	[ "MIT" ]	53	2018-04-27T05:26:35.000Z	2022-03-25T07:59:37.000Z	import pandas as pd df = pd.read_csv('data/src/sample_pandas_normal.csv', index_col=0) print(df) # age state point # name # Alice 24 NY 64 # Bob 42 CA 92 # Charlie 18 CA 70 # Dave 68 TX 70 # Ellen 24 CA 88 # Frank 30 NY 5...	21.921053	66	0.482833	563	4,165	3.564831	0.101243	0.076731	0.082212	0.119581	0.849028	0.78575	0.78575	0.743896	0.667663	0.666667	0.107184	0.37503	4,165	189	67	22.037037	0.663849	0.694838	0	0	0	0.149293	0.029152	0	0	0	0	1	0	false	0	0.026316	0	0.026316	0.947368	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	6
5a41a4ffbc0d091352cde5c55ba7ea8a74121e44	48	py	Python	home_server/__init__.py	wwakabobik/home	518167bb705a18e5697bb261942dc1e10eac5bf0	[ "MIT" ]	null	null	null	home_server/__init__.py	wwakabobik/home	518167bb705a18e5697bb261942dc1e10eac5bf0	[ "MIT" ]	null	null	null	home_server/__init__.py	wwakabobik/home	518167bb705a18e5697bb261942dc1e10eac5bf0	[ "MIT" ]	1	2021-12-01T08:34:05.000Z	2021-12-01T08:34:05.000Z	from .home_server import db, secure_data, pages	24	47	0.8125	8	48	4.625	1	0	0	0	0	0	0	0	0	0	0	0.125	48	1	48	48	0.880952	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5a64afc4a130bda947c81ebe572c99d40d2afbaf	600	py	Python	temboo/core/Library/Google/Drive/Comments/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	7	2016-03-07T02:07:21.000Z	2022-01-21T02:22:41.000Z	temboo/core/Library/Google/Drive/Comments/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	null	null	null	temboo/core/Library/Google/Drive/Comments/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	8	2016-06-14T06:01:11.000Z	2020-04-22T09:21:44.000Z	from temboo.Library.Google.Drive.Comments.Delete import Delete, DeleteInputSet, DeleteResultSet, DeleteChoreographyExecution from temboo.Library.Google.Drive.Comments.Get import Get, GetInputSet, GetResultSet, GetChoreographyExecution from temboo.Library.Google.Drive.Comments.Insert import Insert, InsertInputSet, Inser...	100	124	0.875	60	600	8.75	0.45	0.095238	0.161905	0.219048	0.342857	0.342857	0	0	0	0	0	0.058333	600	5	125	120	0.929204	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ce68278280d2e05ebea1096dd1e6a3a7ce5bee68	7,371	py	Python	runs/run_server_Icons.py	aliborji/ShapeDefence	92da19bb195b5161d997f6ee1cc777b07a714f6f	[ "MIT" ]	null	null	null	runs/run_server_Icons.py	aliborji/ShapeDefence	92da19bb195b5161d997f6ee1cc777b07a714f6f	[ "MIT" ]	1	2022-03-12T00:40:21.000Z	2022-03-12T00:40:21.000Z	runs/run_server_Icons.py	aliborji/ShapeDefense	92da19bb195b5161d997f6ee1cc777b07a714f6f	[ "MIT" ]	null	null	null	from lib import * from config import * from model import build_model, build_model_resNet from utils import * import torchattacks from torchattacks import PGD, FGSM import os from torch.utils.data import Dataset, DataLoader import pandas as pd from os.path import isfile, join, abspath, exists, isdir, expanduser from os...	41.178771	175	0.669923	998	7,371	4.659319	0.114228	0.045161	0.065376	0.07914	0.832903	0.824301	0.809462	0.808602	0.782366	0.777204	0.006055	0.148555	7,371	178	176	41.410112	0.734863	0.133903	0.45098	0	0	0.219727	0.029998	0	0	0	0	1	0	false	0	0.137255	0	0.137255	0.098039	0	0	0	null	0	0	0	1	1	1	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
ce70d9449a471ef6867f6ac5b22a0ff0c870e188	165	py	Python	backend/handlers/graphql/action_deserializers/template_deserializer.py	al-indigo/vmemperor	80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1	[ "Apache-2.0" ]	null	null	null	backend/handlers/graphql/action_deserializers/template_deserializer.py	al-indigo/vmemperor	80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1	[ "Apache-2.0" ]	8	2017-10-11T13:26:10.000Z	2021-12-13T20:27:52.000Z	backend/handlers/graphql/action_deserializers/template_deserializer.py	ispras/vmemperor	80eb6d47d839a4736eb6f9d2fcfad35f0a7b3bb1	[ "Apache-2.0" ]	4	2017-07-27T12:25:42.000Z	2018-01-28T02:06:26.000Z	from handlers.graphql.types.template import TemplateActions class TemplateDeserializer: def __init__(self, is_default): self.is_default = is_default	18.333333	59	0.769697	19	165	6.315789	0.736842	0.225	0.216667	0	0	0	0	0	0	0	0	0.169697	165	8	60	20.625	0.875912	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.25	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	0	0	null	0	0	0	0	1	0	0	0	0	1	0	6
ce8fe1aa282a90ee89f3d228e07b444cb13635d3	199	py	Python	TODO.py	OsciiArt/Cookpad	b2245f84db0650d6282c97c98600de825c6ed6e0	[ "MIT" ]	null	null	null	TODO.py	OsciiArt/Cookpad	b2245f84db0650d6282c97c98600de825c6ed6e0	[ "MIT" ]	null	null	null	TODO.py	OsciiArt/Cookpad	b2245f84db0650d6282c97c98600de825c6ed6e0	[ "MIT" ]	null	null	null	# TODO cycle learning # TODO mix like DSB # TODO noise mix up # TODO more simple model # TODO GAN aug # TODO remove aug in valid # TODO # TODO # TODO # TODO # TODO # TODO # TODO # TODO # TODO # TODO	11.705882	26	0.673367	33	199	4.060606	0.484848	0.537313	0.716418	0.835821	0.298507	0.298507	0.298507	0.298507	0.298507	0	0	0.246231	199	16	27	12.4375	0.893333	0.834171	null	0	null	0	0	null	0	0.0625	null	1	null	true	0	0	null	null	null	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	1	0	0	0	1	0	0	0	0	0	6
cea79ca204fa1d322506ad9d667ab45bf7b5817c	96	py	Python	venv/lib/python3.8/site-packages/pip/_internal/models/candidate.py	GiulianaPola/select_repeats	17a0d053d4f874e42cf654dd142168c2ec8fbd11	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/pip/_internal/models/candidate.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/pip/_internal/models/candidate.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/6f/66/a2/b9f843e63644234ce111a327fe8d5546575513627e30fb2a3e9718d83b	96	96	0.895833	9	96	9.555556	1	0	0	0	0	0	0	0	0	0	0.479167	0	96	1	96	96	0.416667	0	0	0	0	0	0	0	1	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	0	0	1	0	0	0	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	6
ceb9ffae0467bc42363389809940ed67164f6617	82	py	Python	bgcArgoDMQC/util/__init__.py	ArgoCanada/BGC-QC	c058f3e1a1992fc961ce2c4d5862d426725c1e43	[ "MIT" ]	null	null	null	bgcArgoDMQC/util/__init__.py	ArgoCanada/BGC-QC	c058f3e1a1992fc961ce2c4d5862d426725c1e43	[ "MIT" ]	16	2020-07-15T12:26:26.000Z	2020-10-14T14:28:04.000Z	bgcArgoDMQC/util/__init__.py	ArgoCanada/bgcArgo	500cd10526e5b88393310d457eebaef19d49e4d8	[ "MIT" ]	1	2020-08-30T02:40:33.000Z	2020-08-30T02:40:33.000Z	from .array import * from .geo import * from .stats import * from .util import *	13.666667	20	0.695122	12	82	4.75	0.5	0.526316	0	0	0	0	0	0	0	0	0	0.207317	82	5	21	16.4	0.876923	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cebea34fd924c5f022bc61c2b7d1ad8d37a5abd2	230	py	Python	algorithms/search/__init__.py	zhengli0817/algorithms	3c98813f0329d9a5fff1107dbcd40e7f38d2275d	[ "MIT" ]	null	null	null	algorithms/search/__init__.py	zhengli0817/algorithms	3c98813f0329d9a5fff1107dbcd40e7f38d2275d	[ "MIT" ]	null	null	null	algorithms/search/__init__.py	zhengli0817/algorithms	3c98813f0329d9a5fff1107dbcd40e7f38d2275d	[ "MIT" ]	null	null	null	from .binary_search import * from .first_occurance import * from .last_occurance import * from .search_insert import * from .two_sum import * from .search_range import * from .find_min_rotate import * from .search_rotate import *	25.555556	30	0.791304	33	230	5.242424	0.424242	0.404624	0.277457	0	0	0	0	0	0	0	0	0.13913	230	8	31	28.75	0.873737	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cebeb8fd8b1515ec6fed7278950597724fdf1da8	64	py	Python	timesformer_pytorch/__init__.py	halixness/generative_timesformer_pytorch	c91989f804f3d0c9821b14e2f2e77c48ef47f5f0	[ "MIT" ]	565	2021-02-11T04:18:16.000Z	2022-03-31T03:54:49.000Z	timesformer_pytorch/__init__.py	halixness/generative_timesformer_pytorch	c91989f804f3d0c9821b14e2f2e77c48ef47f5f0	[ "MIT" ]	20	2021-02-11T17:53:25.000Z	2021-11-09T09:35:12.000Z	timesformer_pytorch/__init__.py	halixness/generative_timesformer_pytorch	c91989f804f3d0c9821b14e2f2e77c48ef47f5f0	[ "MIT" ]	73	2021-02-11T23:46:08.000Z	2022-02-01T13:48:31.000Z	from timesformer_pytorch.timesformer_pytorch import TimeSformer	32	63	0.921875	7	64	8.142857	0.571429	0.631579	0	0	0	0	0	0	0	0	0	0.0625	64	1	64	64	0.95	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0b44c4ac26a16debef16f60723fc74ab637a02a6	27,461	py	Python	flash/audio/speech_recognition/data.py	dudeperf3ct/lightning-flash	a855cd14cf1cd0301b4a2f82c0c95e4d8d986650	[ "Apache-2.0" ]	1	2022-03-09T22:40:05.000Z	2022-03-09T22:40:05.000Z	flash/audio/speech_recognition/data.py	dudeperf3ct/lightning-flash	a855cd14cf1cd0301b4a2f82c0c95e4d8d986650	[ "Apache-2.0" ]	null	null	null	flash/audio/speech_recognition/data.py	dudeperf3ct/lightning-flash	a855cd14cf1cd0301b4a2f82c0c95e4d8d986650	[ "Apache-2.0" ]	null	null	null	# Copyright The PyTorch Lightning team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...	49.479279	119	0.627326	3,053	27,461	5.438257	0.083197	0.012949	0.021141	0.027104	0.862013	0.833464	0.819009	0.805035	0.78799	0.768596	0.008373	0.264994	27,461	554	120	49.568592	0.814209	0.649467	0.597222	0	0	0.020376	0.018112	0	0	0	0	1	0.027778	false	0	0.069444	0	0.152778	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0b8d614176f053126ea25cc222a3f9f4e44ba447	4,353	py	Python	testsuite/splineinverse-knots-ascend-reg/run.py	luyatshimbalanga/OpenShadingLanguage	2120647911af732f0d12d70e2f7f4e1ebe8fadcb	[ "BSD-3-Clause" ]	1,105	2015-01-02T20:47:19.000Z	2021-01-25T13:20:56.000Z	testsuite/splineinverse-knots-ascend-reg/run.py	luyatshimbalanga/OpenShadingLanguage	2120647911af732f0d12d70e2f7f4e1ebe8fadcb	[ "BSD-3-Clause" ]	696	2015-01-07T23:42:08.000Z	2021-01-25T03:55:08.000Z	testsuite/splineinverse-knots-ascend-reg/run.py	luyatshimbalanga/OpenShadingLanguage	2120647911af732f0d12d70e2f7f4e1ebe8fadcb	[ "BSD-3-Clause" ]	248	2015-01-05T13:41:28.000Z	2021-01-24T23:29:55.000Z	#!/usr/bin/env python # Copyright Contributors to the Open Shading Language project. # SPDX-License-Identifier: BSD-3-Clause # https://github.com/AcademySoftwareFoundation/OpenShadingLanguage command += testshade("-t 1 -g 64 64 --center -od uint8 -o Fout splineinverse_c_float_v_floatarray.tif test_splineinverse_c_flo...	77.732143	187	0.828164	672	4,353	4.949405	0.08631	0.14071	0.016236	0.02706	0.938966	0.938966	0.938966	0.687011	0.489477	0.489477	0.02845	0.079485	4,353	55	188	79.145455	0.801597	0.048243	0	0	0.236842	0.791878	0.539521	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	null	0	0	0	0	0	0	0	0	0	0	0	6
f02747ff47115ba774a4c8feaed53ea19288b2a4	83	py	Python	utils/__init__.py	DK-Darkness/Bing-Linkedin-Crawler	00d35c4f62816e23c18449a0fd97b08e03730c2f	[ "Apache-2.0" ]	1	2020-09-17T07:29:04.000Z	2020-09-17T07:29:04.000Z	utils/__init__.py	DK-Darkness/Bing-Linkedin-Crawler	00d35c4f62816e23c18449a0fd97b08e03730c2f	[ "Apache-2.0" ]	null	null	null	utils/__init__.py	DK-Darkness/Bing-Linkedin-Crawler	00d35c4f62816e23c18449a0fd97b08e03730c2f	[ "Apache-2.0" ]	1	2020-09-17T07:29:06.000Z	2020-09-17T07:29:06.000Z	from .bingSpider import * from .linkedinSpider import * from .nameGuessing import *	27.666667	29	0.795181	9	83	7.333333	0.555556	0.30303	0	0	0	0	0	0	0	0	0	0.13253	83	3	30	27.666667	0.916667	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f04dac056f012ac2112c994e89ee8cea9fb42239	46	py	Python	pdip/dependency/provider/__init__.py	ahmetcagriakca/pdip	c4c16d5666a740154cabdc6762cd44d98b7bdde8	[ "MIT" ]	2	2021-12-09T21:07:46.000Z	2021-12-11T22:18:01.000Z	pdip/dependency/provider/__init__.py	fmuyilmaz/pdip	f7e30b0c04d9e85ef46b0b7094fafd3ce18bccab	[ "MIT" ]	null	null	null	pdip/dependency/provider/__init__.py	fmuyilmaz/pdip	f7e30b0c04d9e85ef46b0b7094fafd3ce18bccab	[ "MIT" ]	3	2021-11-15T00:47:00.000Z	2021-12-17T11:35:45.000Z	from .service_provider import ServiceProvider	23	45	0.891304	5	46	8	1	0	0	0	0	0	0	0	0	0	0	0.086957	46	1	46	46	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f05690f058f7e6cfee91bd2f2ebf1116cd197c27	138	py	Python	market_maker/utils/errors.py	mwithi/sample-market-maker	92d20ae6f1bb52ff0373183f916aba9a90dae70c	[ "Apache-2.0" ]	1,524	2016-08-25T07:07:58.000Z	2022-03-30T19:51:39.000Z	market_maker/utils/errors.py	mwithi/sample-market-maker	92d20ae6f1bb52ff0373183f916aba9a90dae70c	[ "Apache-2.0" ]	222	2016-12-13T13:48:18.000Z	2022-03-10T07:30:13.000Z	market_maker/utils/errors.py	mwithi/sample-market-maker	92d20ae6f1bb52ff0373183f916aba9a90dae70c	[ "Apache-2.0" ]	930	2016-08-16T13:05:44.000Z	2022-03-31T15:29:00.000Z	class AuthenticationError(Exception): pass class MarketClosedError(Exception): pass class MarketEmptyError(Exception): pass	15.333333	37	0.768116	12	138	8.833333	0.5	0.367925	0.339623	0	0	0	0	0	0	0	0	0.166667	138	8	38	17.25	0.921739	0	0.5	0	0	0	0	0	0	0	0	1	0	true	0.5	0	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	0	0	null	0	0	0	0	0	1	1	0	0	0	0	6
f0730c45bb9c4968c86a0758632c4310be1797e1	148	py	Python	jointly/__init__.py	hpi-dhc/jointly	b56fca228b2705cf795ae453cd1d77c0567f099e	[ "MIT" ]	7	2020-10-14T11:57:35.000Z	2021-12-28T11:32:45.000Z	jointly/__init__.py	hpi-dhc/jointly	b56fca228b2705cf795ae453cd1d77c0567f099e	[ "MIT" ]	5	2021-08-18T09:04:16.000Z	2021-12-27T19:24:24.000Z	jointly/__init__.py	hpi-dhc/jointly	b56fca228b2705cf795ae453cd1d77c0567f099e	[ "MIT" ]	1	2021-05-06T07:57:38.000Z	2021-05-06T07:57:38.000Z	from .abstract_extractor import * from .shake_extractor import * from .synchronizer import * from .helpers import * from .helpers_plotting import *	24.666667	33	0.797297	18	148	6.388889	0.444444	0.347826	0.330435	0	0	0	0	0	0	0	0	0.135135	148	5	34	29.6	0.898438	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
b2f83b81f0bb3a61ff834b5aa6b2cffba155bd2f	119	py	Python	ditat_etl/utils/entity_resolution/__init__.py	ditat-llc/ditat_etl	3d4846ecb9663f9d3de2473aaf4bbcf52f735beb	[ "MIT" ]	4	2021-08-11T23:05:37.000Z	2022-03-22T18:43:35.000Z	ditat_etl/utils/entity_resolution/__init__.py	ditat-llc/ditat_etl	3d4846ecb9663f9d3de2473aaf4bbcf52f735beb	[ "MIT" ]	null	null	null	ditat_etl/utils/entity_resolution/__init__.py	ditat-llc/ditat_etl	3d4846ecb9663f9d3de2473aaf4bbcf52f735beb	[ "MIT" ]	null	null	null	from .matcher import Matcher from .industry_standard import IndustryStandard from .industry_naics import NaicsStandard	29.75	47	0.87395	14	119	7.285714	0.571429	0.235294	0	0	0	0	0	0	0	0	0	0.10084	119	3	48	39.666667	0.953271	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	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6

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