Split (1)

train · 675k rows

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0293a253619a11988d47abce2d445f20f1d026f6	304	py	Python	src/tributaries/utils/universalmodules.py	akilby/tributary-cache	f4884a2aa49685b9e8aeb925c50afda887db1b18	[ "MIT" ]	null	null	null	src/tributaries/utils/universalmodules.py	akilby/tributary-cache	f4884a2aa49685b9e8aeb925c50afda887db1b18	[ "MIT" ]	null	null	null	src/tributaries/utils/universalmodules.py	akilby/tributary-cache	f4884a2aa49685b9e8aeb925c50afda887db1b18	[ "MIT" ]	null	null	null	import os import sys import time def hash_id(): return str(hash(time.time()) % ((sys.maxsize + 1) * 2)) def hash_write_to_dta(df, tempdir, write_index=True): filepath = os.path.join(tempdir, 'dtafile_%s.dta' % hash_id()) df.to_stata(filepath, write_index=write_index) return filepath	21.714286	66	0.697368	48	304	4.208333	0.520833	0.148515	0	0	0	0	0	0	0	0	0.007874	0.164474	304	13	67	23.384615	0.787402	0	0	0	0	0.046053	0	0	0	0	0	1	0.222222	false	0	0.333333	0.111111	0.777778	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	1	1	0	0	3
029d02e7c8eeaac0797693dd174266aabf956ee1	141	py	Python	variable.py	hitanshkadakia/Python_Tutorial	2d653cd5eb7ecd19de26ffd447d18fbae8eb7af6	[ "Apache-2.0" ]	3	2021-01-26T09:36:22.000Z	2021-07-16T07:52:22.000Z	variable.py	rahulhgdev/Python_Tutorial	de9a05a6c841614edac6cfa9cf8fb697dd512190	[ "Apache-2.0" ]	1	2021-02-12T13:47:58.000Z	2021-02-12T14:00:41.000Z	variable.py	rahulhgdev/Python_Tutorial	de9a05a6c841614edac6cfa9cf8fb697dd512190	[ "Apache-2.0" ]	1	2021-02-13T14:04:43.000Z	2021-02-13T14:04:43.000Z	x=100 text="python tutorial" print(x) print(text) # Assign values to multiple variables x,y,z=10,20,30 print(x) print(y) print(z)	12.818182	38	0.673759	26	141	3.653846	0.615385	0.126316	0.231579	0	0	0	0	0	0	0	0.078261	0.184397	141	11	39	12.818182	0.747826	0.248227	0.25	0	0	0.157895	0	0	0	0	0	1	0	false	0	0	0	0	0.625	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
02c93a8a22f8c1ef4b9c15e58c0df5933fc75ba0	83	py	Python	redditBot/BotMain.py	Squadella/ArisSuggestionBot	f00366f74f06080d29eec53c6700472c1afe2fe6	[ "MIT" ]	null	null	null	redditBot/BotMain.py	Squadella/ArisSuggestionBot	f00366f74f06080d29eec53c6700472c1afe2fe6	[ "MIT" ]	null	null	null	redditBot/BotMain.py	Squadella/ArisSuggestionBot	f00366f74f06080d29eec53c6700472c1afe2fe6	[ "MIT" ]	null	null	null	from Bot import Bot if __name__ == '__main__': bot = Bot() bot.startBot()	13.833333	26	0.614458	11	83	3.909091	0.636364	0.27907	0	0	0	0	0	0	0	0	0	0.253012	83	5	27	16.6	0.693548	0	0	0	0	0.096386	0	0	0	0	0	1	0	false	0	0.25	0	0.25	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
02d4c9f246a8bcc4ee71bd0380a654244a1607f4	3,028	py	Python	sample/driver-clean.py	BenGriffith/covid	b3ac889c5e72acc5897100362cd0161e60517786	[ "BSD-2-Clause" ]	null	null	null	sample/driver-clean.py	BenGriffith/covid	b3ac889c5e72acc5897100362cd0161e60517786	[ "BSD-2-Clause" ]	null	null	null	sample/driver-clean.py	BenGriffith/covid	b3ac889c5e72acc5897100362cd0161e60517786	[ "BSD-2-Clause" ]	null	null	null	import sys import clean from datetime import datetime, date, timedelta if sys.argv[1] == "initial": # Populate county table clean.Population("tmp/initial/county/population.csv", "csv", "data/initial/county", 1) # Clean clean.Texas("tmp/initial/county/texas.xlsx", "data/initial/county", None) clea...	72.095238	135	0.732497	416	3,028	5.252404	0.129808	0.092906	0.146453	0.175744	0.695195	0.679176	0.41373	0.306178	0.306178	0.261327	0.007603	0.087847	3,028	42	136	72.095238	0.78349	0.02576	0	0	0	0.607604	0.494229	0	0	0	0	1	0	false	0	0.09375	0	0.09375	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	3
02db725413178c90489b66872718043dc938844e	493	py	Python	catalyst_gan/nn/criterion/__init__.py	WilliamAshbee/gan	ab75e87681b9113d3af8df8a3cd97bf3bd69c6ac	[ "Apache-2.0" ]	6	2020-01-27T11:25:12.000Z	2020-08-16T02:35:46.000Z	catalyst_gan/nn/criterion/__init__.py	WilliamAshbee/gan	ab75e87681b9113d3af8df8a3cd97bf3bd69c6ac	[ "Apache-2.0" ]	1	2020-04-30T18:27:46.000Z	2020-06-08T09:38:22.000Z	catalyst_gan/nn/criterion/__init__.py	WilliamAshbee/gan	ab75e87681b9113d3af8df8a3cd97bf3bd69c6ac	[ "Apache-2.0" ]	3	2020-06-23T13:35:34.000Z	2020-12-10T20:22:28.000Z	from .bce_gan import ( BCELossDiscriminator, BCELossGenerator, BCELossDiscriminatorFake, BCELossDiscriminatorReal ) from .hinge import ( HingeLossDiscriminator, HingeLossGenerator, HingeLossDiscriminatorFake, HingeLossDiscriminatorReal ) from .wasserstein import ( WassersteinLossDiscriminator, Wasse...	32.866667	71	0.833671	28	493	14.642857	0.785714	0	0	0	0	0	0	0	0	0	0	0.123732	493	14	72	35.214286	0.949074	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.285714	0	0.285714	0	1	0	1	null	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	3
02dd0fa801138033b8e8e9e20a490e5095cc5807	55	py	Python	dbmanager/__init__.py	yupix/db-manager	93258484bcfe90a6ca10850cb121cfb993ec1039	[ "BSL-1.0" ]	null	null	null	dbmanager/__init__.py	yupix/db-manager	93258484bcfe90a6ca10850cb121cfb993ec1039	[ "BSL-1.0" ]	null	null	null	dbmanager/__init__.py	yupix/db-manager	93258484bcfe90a6ca10850cb121cfb993ec1039	[ "BSL-1.0" ]	null	null	null	from .dbmanager import DbManager __version__ = '0.0.1'	18.333333	32	0.763636	8	55	4.75	0.75	0	0	0	0	0	0	0	0	0	0.0625	0.127273	55	3	33	18.333333	0.729167	0	0	0	0	0.089286	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
02eeaa9da7d61201c6afcfcd0afd348e90fa2c0c	220	py	Python	pypy/module/pypyjit/test/conftest.py	microvm/pypy-mu	6b03fbe93052d0eb3a4c67152c987c16837b3484	[ "Apache-2.0", "OpenSSL" ]	34	2015-07-09T04:53:27.000Z	2021-07-19T05:22:27.000Z	pypy/module/pypyjit/test/conftest.py	microvm/pypy-mu	6b03fbe93052d0eb3a4c67152c987c16837b3484	[ "Apache-2.0", "OpenSSL" ]	6	2015-05-30T17:20:45.000Z	2017-06-12T14:29:23.000Z	pypy/module/pypyjit/test/conftest.py	microvm/pypy-mu	6b03fbe93052d0eb3a4c67152c987c16837b3484	[ "Apache-2.0", "OpenSSL" ]	11	2015-09-07T14:26:08.000Z	2020-04-10T07:20:41.000Z	def pytest_addoption(parser): group = parser.getgroup("pypyjit options") group.addoption("--pypy", action="store", default=None, dest="pypy_c", help="the location of the JIT enabled pypy-c")	36.666667	74	0.65	28	220	5.035714	0.75	0.070922	0	0	0	0	0	0	0	0	0	0.209091	220	5	75	44	0.810345	0	0	0	0	0.319635	0	0	0	0	0	1	0.25	false	0	0	0	0.25	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	3
02f57717e77b011e0c745f94bccb5a18599f46f7	180	py	Python	settings_test/settings_test/urls.py	joshourisman/django-pydantic-settings	39e403a70d39855485a13219a2550b50e22c48c9	[ "MIT" ]	5	2021-01-20T03:51:52.000Z	2021-04-25T09:58:21.000Z	settings_test/settings_test/urls.py	joshourisman/django-pydantic-settings	39e403a70d39855485a13219a2550b50e22c48c9	[ "MIT" ]	7	2021-05-07T06:50:19.000Z	2021-09-23T01:05:42.000Z	settings_test/settings_test/urls.py	joshourisman/django-pydantic-settings	39e403a70d39855485a13219a2550b50e22c48c9	[ "MIT" ]	null	null	null	from django.http import JsonResponse from django.urls import path def test_view(request): return JsonResponse({"success": True}) urlpatterns = [ path("", test_view), ]	15	42	0.711111	22	180	5.727273	0.681818	0.15873	0	0	0	0	0	0	0	0	0	0.172222	180	11	43	16.363636	0.845638	0	0	0	0	0.038889	0	0	0	0	0	1	0.142857	false	0	0.285714	0.142857	0.571429	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	1	0	3
f31fdab424acd5900e3d4aa92d89654ff39a7665	93	py	Python	Week_1/ex6.py	babosina/Coursera-Python-HSE	3629c49df906324d14e8e591264b0f71d295a114	[ "MIT" ]	null	null	null	Week_1/ex6.py	babosina/Coursera-Python-HSE	3629c49df906324d14e8e591264b0f71d295a114	[ "MIT" ]	null	null	null	Week_1/ex6.py	babosina/Coursera-Python-HSE	3629c49df906324d14e8e591264b0f71d295a114	[ "MIT" ]	null	null	null	# Дано натуральное число. Выведите его последнюю цифру. num = int(input()) print(num % 10)	15.5	55	0.709677	13	93	5.076923	0.923077	0	0	0	0	0	0	0	0	0	0.025974	0.172043	93	5	56	18.6	0.831169	0.569892	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
b8279c79aa2680dd86497876009dc12259a0b194	319	py	Python	source/scripts/python/classname/source/classname.py	Zedonboy/core	79a4d959659a0f96b940b28d44476943de120d95	[ "Apache-2.0" ]	null	null	null	source/scripts/python/classname/source/classname.py	Zedonboy/core	79a4d959659a0f96b940b28d44476943de120d95	[ "Apache-2.0" ]	null	null	null	source/scripts/python/classname/source/classname.py	Zedonboy/core	79a4d959659a0f96b940b28d44476943de120d95	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/python3.5 class MyClass: "This is a class" a = 10; def func(self): print('Hello World'); return 3; def my_function(a: MyClass): return a.func(); def other_function(b: my_function): a = MyClass(); return my_function(a); def object_function(obj: object): return 3;	16.789474	35	0.61442	47	319	4.06383	0.510638	0.157068	0.172775	0.188482	0.251309	0	0	0	0	0	0.025	0.247649	319	18	36	17.722222	0.770833	0.109718	0.153846	0	0	0.086957	0	0	0	0	0	1	0.307692	false	0	0	0.153846	0.769231	0.076923	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	0	0	3
b82e865ba91ceb36af2de3dc000374c9fcb7dc5b	523	py	Python	flask_app/wsgi.py	lveagithub/InnoSpark-docker	565d8d3349a878c0c2c6f28833ff1b0f895feaf5	[ "MIT" ]	1	2021-04-28T15:18:17.000Z	2021-04-28T15:18:17.000Z	flask_app/wsgi.py	lveagithub/InnoSpark-docker	565d8d3349a878c0c2c6f28833ff1b0f895feaf5	[ "MIT" ]	null	null	null	flask_app/wsgi.py	lveagithub/InnoSpark-docker	565d8d3349a878c0c2c6f28833ff1b0f895feaf5	[ "MIT" ]	null	null	null	from app import app as application app = application print ("wsgi_print_main") print(__name__) if __name__ == "__main__": print ("wsgi_print_main_1") app.run(host='0.0.0.0', port=8001) print ("wsgi_print_main_2") if __name__ == "wsgi": print ("wsgi_print_main_3") app.run(host='0.0.0....	23.772727	40	0.630975	82	523	3.487805	0.231707	0.062937	0.342657	0.440559	0.566434	0.566434	0.566434	0.566434	0.566434	0.48951	0.072289	0.206501	523	21	41	24.904762	0.616867	0.254302	0.166667	0	0	0.299451	0	0	0	0	0	1	0	false	0	0.083333	0	0.083333	0.5	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
b83fe0b2526b2c804b613f7a185e65c35b2efdec	126	py	Python	institutions/mapping/urls.py	sephcoster/mapusaurus	5515f0d89ff7b7cbc796af25b3d45950c8ed882f	[ "CC0-1.0" ]	null	null	null	institutions/mapping/urls.py	sephcoster/mapusaurus	5515f0d89ff7b7cbc796af25b3d45950c8ed882f	[ "CC0-1.0" ]	null	null	null	institutions/mapping/urls.py	sephcoster/mapusaurus	5515f0d89ff7b7cbc796af25b3d45950c8ed882f	[ "CC0-1.0" ]	null	null	null	from django.conf.urls import patterns, url urlpatterns = patterns( '', url(r'^$', 'mapping.views.map', name='map') )	18	47	0.634921	16	126	5	0.8125	0.275	0	0	0	0	0	0	0	0	0	0.174603	126	6	48	21	0.769231	0	0	0	0	0.174603	0	0	0	0	0	1	0	false	0	0.2	0	0.2	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
b84011551e3cd05efff54d507956228584998527	315	py	Python	problem1.py	ATMS-207-Fall-2020/lab-2-ShaySen	4e388d070d6c69f339cd60455ed4a3b039b99e76	[ "MIT" ]	null	null	null	problem1.py	ATMS-207-Fall-2020/lab-2-ShaySen	4e388d070d6c69f339cd60455ed4a3b039b99e76	[ "MIT" ]	null	null	null	problem1.py	ATMS-207-Fall-2020/lab-2-ShaySen	4e388d070d6c69f339cd60455ed4a3b039b99e76	[ "MIT" ]	null	null	null	### PROBLEM 1 def main(): print("Name: Shaymae Senhaji") print("Favorite Food: Brie Cheese") print("Favorite Color: Red") print("Favorite Hobby: Traveling") if __name__ == "__main__": main() #Name: Shaymae Senhaji #Favorite Food: Brie Cheese #Favorite Color: Red #Favorite Hobby: Traveling	19.6875	39	0.67619	38	315	5.394737	0.447368	0.190244	0.17561	0.214634	0	0	0	0	0	0	0.003937	0.193651	315	15	40	21	0.80315	0.320635	0	0	0	0.482927	0	0	0	0	0	1	0.142857	true	0	0	0	0.142857	0.571429	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	3
b864582ff004c56f29062b2f79db812dc48ce353	148	py	Python	moderate/apps.py	sandnima/blog-with-Django	77cb90f4e3aa70efa8d5190146f6acb4cd22d9a7	[ "MIT" ]	null	null	null	moderate/apps.py	sandnima/blog-with-Django	77cb90f4e3aa70efa8d5190146f6acb4cd22d9a7	[ "MIT" ]	null	null	null	moderate/apps.py	sandnima/blog-with-Django	77cb90f4e3aa70efa8d5190146f6acb4cd22d9a7	[ "MIT" ]	null	null	null	from django.apps import AppConfig class ModerateConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'moderate'	21.142857	56	0.763514	17	148	6.529412	0.882353	0	0	0	0	0	0	0	0	0	0	0.148649	148	6	57	24.666667	0.880952	0	0	0	0	0.25	0.195946	0	0	0	0	1	0	false	0	0.25	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
b86dc9800f073a41499f81a7a11c7c9b74ff80fa	266	py	Python	tools/build/packages/Setuptools.py	drm42/fvm-drm	c9b940e593034f1aa3020d63ff1e09ebef9c182a	[ "MIT" ]	null	null	null	tools/build/packages/Setuptools.py	drm42/fvm-drm	c9b940e593034f1aa3020d63ff1e09ebef9c182a	[ "MIT" ]	null	null	null	tools/build/packages/Setuptools.py	drm42/fvm-drm	c9b940e593034f1aa3020d63ff1e09ebef9c182a	[ "MIT" ]	null	null	null	from build_packages import * class Setuptools(BuildPkg): requires = ['python'] def _installed(self): return python_package('setuptools', [0,6]) def _install(self): return self.sys_log("python setup.py install --prefix=%s" % self.blddir)	29.555556	80	0.672932	33	266	5.272727	0.727273	0.114943	0	0	0	0	0	0	0	0	0.009346	0.195489	266	8	81	33.25	0.803738	0	0	0	0	0.191729	0	0	0	0	0	1	0.285714	false	0	0.142857	0.285714	1	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	1	0	0	3
b8756b98985ce22cc95cf64a3b4f2df03231016d	343	py	Python	seo/bin/test.py	yerkesobservatory/variousnsundry	c757a628b1c66be08c4ac15fb0dda26af61aebd8	[ "MIT" ]	null	null	null	seo/bin/test.py	yerkesobservatory/variousnsundry	c757a628b1c66be08c4ac15fb0dda26af61aebd8	[ "MIT" ]	null	null	null	seo/bin/test.py	yerkesobservatory/variousnsundry	c757a628b1c66be08c4ac15fb0dda26af61aebd8	[ "MIT" ]	null	null	null	#!/usr/bin/python import sys # ## the mock-0.3.1 dir contains testcase.py, testutils.py & mock.py #sys.path.append('/home/mcnowinski/.local/lib/python2.7/') import astropy from astropy.io import fits from astropy import wcs from astropy.io.fits import getheader import astropy.coordinates as coord import astropy.unit...	20.176471	66	0.766764	56	343	4.696429	0.625	0.148289	0.098859	0	0	0	0	0	0	0	0.016556	0.119534	343	16	67	21.4375	0.854305	0.399417	0	0	0	0	0	0	0	0	0	1	0	true	0	0.875	0	0.875	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	3
b876802acb728d3181559d9b082b50dc6b8a3380	130	py	Python	Training/MOOC Tensorflow 2.0/BeiDa/class1/p31_matmul.py	church06/Pythons	87271619abb2dd6398fbe08d746d4b03c54bcd4d	[ "MIT" ]	177	2020-05-16T00:22:37.000Z	2022-03-13T15:44:27.000Z	Training/MOOC Tensorflow 2.0/BeiDa/class1/p31_matmul.py	church06/Pythons	87271619abb2dd6398fbe08d746d4b03c54bcd4d	[ "MIT" ]	1	2020-07-09T12:42:53.000Z	2020-07-09T12:42:53.000Z	Training/MOOC Tensorflow 2.0/BeiDa/class1/p31_matmul.py	church06/Pythons	87271619abb2dd6398fbe08d746d4b03c54bcd4d	[ "MIT" ]	123	2020-05-15T18:31:49.000Z	2022-02-10T09:20:06.000Z	import tensorflow as tf a = tf.ones([3, 2]) b = tf.fill([2, 3], 3.) print("a:", a) print("b:", b) print("a*b:", tf.matmul(a, b))	16.25	30	0.538462	28	130	2.5	0.428571	0.085714	0	0	0	0	0	0	0	0	0.045872	0.161538	130	7	31	18.571429	0.59633	0	0	0	0	0.061538	0	0	0	0	0	1	0	false	0	0.166667	0	0.166667	0.5	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
b879e3d4d491a375a6c1105d8345c8c04fc2d8b4	193	py	Python	basichashmap.py	kasyap1234/dsa-	495d48d84058c30cc10caea0bf05aa41e2dd48f4	[ "MIT" ]	2	2021-04-15T16:09:56.000Z	2021-12-23T08:00:40.000Z	basichashmap.py	kasyap1234/dsa-	495d48d84058c30cc10caea0bf05aa41e2dd48f4	[ "MIT" ]	null	null	null	basichashmap.py	kasyap1234/dsa-	495d48d84058c30cc10caea0bf05aa41e2dd48f4	[ "MIT" ]	null	null	null	def hashfunction(key): sum=0 for i in key: sum+=ord(i) return sum%100 hashtable=[] def insertkey(key,value): hashkey=hashfunction(key) return hashtable[hashkey].append(value)	17.545455	41	0.694301	28	193	4.785714	0.571429	0.223881	0	0	0	0	0	0	0	0	0.025157	0.176166	193	10	42	19.3	0.81761	0	0	0	0	0	0	0	0	0	0	1	0.222222	false	0	0	0	0.444444	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	3
b88248a7e769bedb3c5390e408c0b96ff005c6f7	3,141	py	Python	youtube_livechat_messages/cursor.py	uehara1414/youtube-livestreaming-api-python	f981a928f07919fe076b0dbf14bfe9679c3cbb52	[ "MIT" ]	15	2018-10-05T05:29:55.000Z	2020-07-20T12:11:21.000Z	youtube_livechat_messages/cursor.py	uehara1414/youtube-livestreaming-api-python	f981a928f07919fe076b0dbf14bfe9679c3cbb52	[ "MIT" ]	2	2019-04-19T05:06:17.000Z	2021-02-08T20:44:13.000Z	youtube_livechat_messages/cursor.py	uehara1414/youtube_livechat_messages	f981a928f07919fe076b0dbf14bfe9679c3cbb52	[ "MIT" ]	null	null	null	import time import collections import itertools from youtube_livechat_messages.models import LiveChatEvent, EventType class LiveChatEventCursor: def __init__(self, request): self.request = request def events(self, include=None): return ChatEventIterator(self.request, include) def text_...	27.077586	96	0.618274	329	3,141	5.671733	0.206687	0.100214	0.096463	0.086817	0.493033	0.459271	0.431404	0.300107	0.254019	0.254019	0.002693	0.290672	3,141	115	97	27.313043	0.834829	0.00382	0.425	0	0	0.001601	0	0	0	0	0	1	0.2375	false	0	0.05	0.125	0.525	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
b88d30097ca5fd41f25d049478f6032e33a651ff	129	py	Python	lazypage/apps.py	taojy123/django-lazypage	83c4c92ac9f9f051f57bcb2457e922dfb93a1fff	[ "MIT" ]	1	2018-11-28T09:45:10.000Z	2018-11-28T09:45:10.000Z	lazypage/apps.py	taojy123/django-lazypage	83c4c92ac9f9f051f57bcb2457e922dfb93a1fff	[ "MIT" ]	null	null	null	lazypage/apps.py	taojy123/django-lazypage	83c4c92ac9f9f051f57bcb2457e922dfb93a1fff	[ "MIT" ]	null	null	null	from django.apps import AppConfig class LazypageConfig(AppConfig): name = "lazypage" verbose_name = "Django Lazy Page"	18.428571	37	0.736434	15	129	6.266667	0.8	0	0	0	0	0	0	0	0	0	0	0.186047	129	6	38	21.5	0.895238	0	0	0	0	0.186047	0	0	0	0	0	1	0	false	0	0.25	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
b8926b5ee83e01093c676c7ae2325e170f830ddd	6,161	py	Python	ReaderWriterLockUnitTest.py	duvni/ReaderWriterLock	9cf835f33a6112da10960a283e866b4a4a8addc2	[ "MIT" ]	null	null	null	ReaderWriterLockUnitTest.py	duvni/ReaderWriterLock	9cf835f33a6112da10960a283e866b4a4a8addc2	[ "MIT" ]	1	2017-10-10T14:07:55.000Z	2018-03-31T08:55:49.000Z	ReaderWriterLockUnitTest.py	duvni/ReaderWriterLock	9cf835f33a6112da10960a283e866b4a4a8addc2	[ "MIT" ]	null	null	null	import unittest import threading import time from ReaderWriterLock import ReaderWriterLock class WriterThread(threading.Thread): def __init__(self, rw_lock: ReaderWriterLock, lock_timeout: float, wait_timeout: float, working_list: list, new_value): self.write_acquired = False sel...	35.612717	112	0.654602	762	6,161	4.976378	0.085302	0.074367	0.044831	0.061709	0.844409	0.799051	0.746835	0.698576	0.515032	0.484705	0.031351	0.24931	6,161	172	113	35.819767	0.788541	0	0.658065	0	0	0	0	0	0	0	0.212903	1	0.070968	false	0	0.025806	0	0.129032	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
b8b059c217a852f127dd6fac46069c999695a335	555	py	Python	exercises/test_01_01.py	DayMath82/www.warmups.dev	2a1f3f7b2e1e066b3033366a91512c1b1be824ce	[ "MIT" ]	5	2021-05-03T05:09:17.000Z	2021-05-05T11:45:12.000Z	exercises/test_01_01.py	DayMath82/www.warmups.dev	2a1f3f7b2e1e066b3033366a91512c1b1be824ce	[ "MIT" ]	13	2021-06-10T20:10:25.000Z	2021-07-12T18:59:15.000Z	exercises/test_01_01.py	DayMath82/www.warmups.dev	2a1f3f7b2e1e066b3033366a91512c1b1be824ce	[ "MIT" ]	3	2021-05-01T00:08:07.000Z	2021-05-21T03:36:46.000Z	def test(): # if an assertion fails, the message will be displayed # --> must have the output in a comment assert "Mean: 5.0" in __solution__, "Did you record the correct program output as a comment?" # --> must have the correct arithmetic mean assert mean == 5.0, "Are you calculating the arithmetic...	50.454545	97	0.695495	83	555	4.506024	0.53012	0.042781	0.058824	0.064171	0	0	0	0	0	0	0.009281	0.223423	555	10	98	55.5	0.858469	0.412613	0	0	0	0.509375	0	0	0	0.1	0.6	1	0.2	true	0	0	0	0.2	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	1	1	0	0	1	0	0	0	0	0	3
b238ded9e59e1f11acb9f5f854d0f96993be9636	101	py	Python	asnets/experiments/actprop_5l_h_add_no_lmcut.py	xf1590281/ASNets	5f4b29fb62a5e72004b813228442d06246c9ec33	[ "MIT" ]	21	2017-12-05T13:27:36.000Z	2021-11-16T20:32:33.000Z	asnets/experiments/actprop_5l_h_add_no_lmcut.py	xf1590281/ASNets	5f4b29fb62a5e72004b813228442d06246c9ec33	[ "MIT" ]	2	2018-07-16T12:15:46.000Z	2020-10-31T00:02:49.000Z	asnets/experiments/actprop_5l_h_add_no_lmcut.py	xf1590281/ASNets	5f4b29fb62a5e72004b813228442d06246c9ec33	[ "MIT" ]	7	2018-03-19T13:45:13.000Z	2022-03-24T07:52:20.000Z	"""For monster problem.""" from .actprop_5l_h_add import * # noqa F401 USE_LMCUT_FEATURES = False	16.833333	44	0.732673	15	101	4.6	1	0	0	0	0	0	0	0	0	0	0.047059	0.158416	101	5	45	20.2	0.764706	0.306931	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
b23ccecb657a95001da14fbcb3f6dca2ef245ae0	345	py	Python	pkgit/env_builders/typescript.py	Cologler/pkgit-python	f9ef74e3520c8d31ac1e93aea86f9e362d8553f4	[ "MIT" ]	null	null	null	pkgit/env_builders/typescript.py	Cologler/pkgit-python	f9ef74e3520c8d31ac1e93aea86f9e362d8553f4	[ "MIT" ]	null	null	null	pkgit/env_builders/typescript.py	Cologler/pkgit-python	f9ef74e3520c8d31ac1e93aea86f9e362d8553f4	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # # Copyright (c) 2019~2999 - Cologler <skyoflw@gmail.com> # ---------- # # ---------- from click import style from ..core.envs import Envs from . import IEnvBuilder class TypeScriptBuilder(IEnvBuilder): env = Envs.TYPE_SCRIPT def init(self): with self.open_proc(['tsc', '--in...	17.25	56	0.591304	40	345	5.05	0.775	0	0	0	0	0	0	0	0	0	0.03321	0.214493	345	19	57	18.157895	0.712177	0.284058	0	0	0	0.037657	0	0	0	0	0	1	0.125	false	0.125	0.375	0	0.75	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	0	1	0	3
b258bb07dd96b02243360995517ab6fafc36ac39	352	py	Python	JugandoCodewars/ResueltosCodeWars/SortOddNumbers.py	blukitas/JugandoCodewars	aa4938fbba3911ba2d5f6fea2ff35fe3cbbf37b0	[ "MIT" ]	null	null	null	JugandoCodewars/ResueltosCodeWars/SortOddNumbers.py	blukitas/JugandoCodewars	aa4938fbba3911ba2d5f6fea2ff35fe3cbbf37b0	[ "MIT" ]	null	null	null	JugandoCodewars/ResueltosCodeWars/SortOddNumbers.py	blukitas/JugandoCodewars	aa4938fbba3911ba2d5f6fea2ff35fe3cbbf37b0	[ "MIT" ]	null	null	null	# You have an array of numbers. # Your task is to sort ascending odd numbers but even numbers must be on their places. # Zero isn't an odd number and you don't need to move it. If you have an empty array, you need to return it. # Example # sort_array([5, 3, 2, 8, 1, 4]) == [1, 3, 2, 8, 5, 4] # https://www.codewars.c...	39.111111	108	0.698864	68	352	3.602941	0.661765	0.057143	0.073469	0	0	0	0	0	0	0	0.09507	0.193182	352	9	109	39.111111	0.767606	0.957386	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	0	0	0	0	1	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
b27ed1f549bbfe6d8fc3366ff1f890649ae8cdd8	122	py	Python	junk_drawer/easypost_testing.py	wantsomechocolate/3Muses	f195bb4d8f71be09467981e0aea7726951bf1c9a	[ "BSD-3-Clause" ]	null	null	null	junk_drawer/easypost_testing.py	wantsomechocolate/3Muses	f195bb4d8f71be09467981e0aea7726951bf1c9a	[ "BSD-3-Clause" ]	26	2015-01-02T13:35:48.000Z	2015-06-10T14:39:07.000Z	junk_drawer/easypost_testing.py	wantsomechocolate/3Muses	f195bb4d8f71be09467981e0aea7726951bf1c9a	[ "BSD-3-Clause" ]	null	null	null	import easypost import os easypost.api_key=os.environ['EASYPOST_KEY'] shipment=easypost.Shipment.retrieve('shp_sq2zuZ8d')	24.4	51	0.836066	17	122	5.823529	0.588235	0	0	0	0	0	0	0	0	0	0.017241	0.04918	122	4	52	30.5	0.836207	0	0	0	0	0.196721	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
b297bf104c1010ccfd8dfd09abd42f129775093f	23,409	py	Python	3.py	znuxor/adventofcode2016	43c1da30cf3b0bca0d9daeddd5692ce2787b544a	[ "BSD-3-Clause" ]	null	null	null	3.py	znuxor/adventofcode2016	43c1da30cf3b0bca0d9daeddd5692ce2787b544a	[ "BSD-3-Clause" ]	null	null	null	3.py	znuxor/adventofcode2016	43c1da30cf3b0bca0d9daeddd5692ce2787b544a	[ "BSD-3-Clause" ]	null	null	null	#!/usr/bin/env python3 theInput = """785 516 744 272 511 358 801 791 693 572 150 74 644 534 138 191 396 196 860 92 399 233 321 823 720 333 570 308 427 572 246 206 66 156 261 595 336 810 505 810 210 938 615 987 820 117 22 519 412 990 256 405 996 423 55 366 418 290 402 810 31...	14.127339	47	0.622795	4,970	23,409	2.9334	0.204628	0.001646	0.002058	0.003155	0	0	0	0	0	0	0.974347	0.373873	23,409	1,656	48	14.13587	0.020332	0.000897	0	0	0	0.978877	0	0	0	0	0	1	0	false	0	0	0	0	0.001212	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	3
b2a0ccc733bb409bbff0d61f325cec707acb2099	2,286	py	Python	address/migrations/0003_auto_20210830_1305.py	theonlykingpin/snapfoodclone	0c1a7839424e89d9bc7bfb55c150a92055759702	[ "MIT" ]	11	2021-09-17T07:44:05.000Z	2022-02-06T08:33:30.000Z	address/migrations/0003_auto_20210830_1305.py	theonlykingpin/snapfoodclone	0c1a7839424e89d9bc7bfb55c150a92055759702	[ "MIT" ]	1	2021-10-09T07:37:14.000Z	2021-10-09T07:37:14.000Z	address/migrations/0003_auto_20210830_1305.py	theonlykingpin/snapfoodclone	0c1a7839424e89d9bc7bfb55c150a92055759702	[ "MIT" ]	3	2021-09-27T14:12:13.000Z	2021-10-18T12:21:37.000Z	# Generated by Django 3.2 on 2021-08-30 08:35 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('service', '0002_alter_service_address'), ('address', '0002_auto_20210830_1305'), ('accounts', '0001_initial'),...	40.821429	158	0.631671	239	2,286	5.853556	0.221757	0.051465	0.080057	0.125804	0.766262	0.766262	0.695497	0.695497	0.695497	0.695497	0.024014	0.234908	2,286	55	159	41.563636	0.775872	0.01881	0.571429	1	0	0.203927	0.033467	0	0	0	0	1	0	false	0	0.040816	0	0.102041	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	3
b2a132f958abdfeb33ef41003247778f85af3a02	203	py	Python	src/processrunner/settings.py	arobb/python-process-runner	e5265a052f501f533f6d0c8bbe3d70ab120b679f	[ "MIT" ]	3	2019-07-16T17:32:29.000Z	2021-11-08T05:00:26.000Z	src/processrunner/settings.py	arobb/python-process-runner	e5265a052f501f533f6d0c8bbe3d70ab120b679f	[ "MIT" ]	null	null	null	src/processrunner/settings.py	arobb/python-process-runner	e5265a052f501f533f6d0c8bbe3d70ab120b679f	[ "MIT" ]	2	2017-07-06T23:59:12.000Z	2019-07-16T17:32:32.000Z	# -- coding: utf-8 -- """Holder for shared Configuration""" def init(): """Holder for shared Configuration""" global config try: config except NameError: config = {}	15.615385	41	0.566502	20	203	5.75	0.7	0.156522	0.26087	0.486957	0	0	0	0	0	0	0.006944	0.29064	203	12	42	16.916667	0.791667	0.423645	0	0	0	0	0	0	0	0	0	1	0.166667	false	0	0	0	0.166667	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
b2aa1a69f0283a960fafa6ac8874aa1bd16124f3	917	py	Python	src/Phidget22/BridgeGain.py	MikaSoftware/mikathing	60621b01e2fcbeefe2181a58fb0f6104115d1ae6	[ "BSD-3-Clause" ]	1	2020-02-26T12:43:07.000Z	2020-02-26T12:43:07.000Z	Phidget22/BridgeGain.py	keysie/phidget-python-interface	ebf392fe6d8d25bd5c178edbf095cf29e0daa4af	[ "MIT" ]	null	null	null	Phidget22/BridgeGain.py	keysie/phidget-python-interface	ebf392fe6d8d25bd5c178edbf095cf29e0daa4af	[ "MIT" ]	1	2020-02-26T12:43:12.000Z	2020-02-26T12:43:12.000Z	import sys import ctypes class BridgeGain: # 1x Amplificaion BRIDGE_GAIN_1 = 1 # 2x Amplification BRIDGE_GAIN_2 = 2 # 4x Amplification BRIDGE_GAIN_4 = 3 # 8x Amplification BRIDGE_GAIN_8 = 4 # 16x Amplification BRIDGE_GAIN_16 = 5 # 32x Amplification BRIDGE_GAIN_32 = 6 # 64x Amplification BRIDGE_GAIN_64 = 7...	22.925	38	0.732824	143	917	4.363636	0.272727	0.384615	0.115385	0.192308	0.24359	0	0	0	0	0	0.080429	0.186478	917	39	39	23.512821	0.756032	0.151581	0	0	0	0.176853	0	0	0	0	0	1	0.033333	false	0	0.066667	0	0.7	0	0	0	0	null	1	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
a22e5bc3c9d28c69269e64ca456ddfa8f68045db	466	py	Python	utils.py	NicChoo96/Graph_Unweighted_Hospitals	c88d6e2caca4e1fdab0549a041ac9856266847fb	[ "MIT" ]	null	null	null	utils.py	NicChoo96/Graph_Unweighted_Hospitals	c88d6e2caca4e1fdab0549a041ac9856266847fb	[ "MIT" ]	null	null	null	utils.py	NicChoo96/Graph_Unweighted_Hospitals	c88d6e2caca4e1fdab0549a041ac9856266847fb	[ "MIT" ]	1	2021-05-22T09:06:56.000Z	2021-05-22T09:06:56.000Z	import os import json def write_data_json_file(output_directory, file_name, writePath): # Load in existing file record if os.path.isfile('./' + output_directory + file_name): with open(output_directory + file_name) as json_file: f_data = json.load(json_file) if len(f_data) != 0:...	33.285714	65	0.648069	65	466	4.4	0.415385	0.20979	0.265734	0.321678	0.216783	0.216783	0	0	0	0	0.002899	0.259657	466	14	66	33.285714	0.826087	0.060086	0	0	0	0.006865	0	0	0	0	0	1	0.090909	false	0	0.181818	0	0.272727	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
a239d91665c7248fe6c890e52a667518e7363190	121	py	Python	data.py	yu961549745/tfnote	df21c414eecfd4e94dd0097f1d57dc2ff1546b70	[ "MIT" ]	null	null	null	data.py	yu961549745/tfnote	df21c414eecfd4e94dd0097f1d57dc2ff1546b70	[ "MIT" ]	null	null	null	data.py	yu961549745/tfnote	df21c414eecfd4e94dd0097f1d57dc2ff1546b70	[ "MIT" ]	null	null	null	from tensorflow.examples.tutorials.mnist import input_data data = input_data.read_data_sets("MNIST_data/", one_hot=True)	40.333333	61	0.834711	19	121	5	0.684211	0.189474	0	0	0	0	0	0	0	0	0	0.066116	121	2	62	60.5	0.840708	0	0	0	0	0.090909	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
a2465c0b7415a6950c64687797b10b5274abc98d	707	py	Python	nonrelated_inlines/tests/settings.py	diegodirob/django-nonrelated-inlines	3fef685cc84ea3148323260fd88697c909b545b4	[ "MIT" ]	17	2020-10-07T07:33:27.000Z	2022-02-17T04:50:30.000Z	nonrelated_inlines/tests/settings.py	diegodirob/django-nonrelated-inlines	3fef685cc84ea3148323260fd88697c909b545b4	[ "MIT" ]	1	2020-12-11T15:40:19.000Z	2021-04-03T12:45:12.000Z	nonrelated_inlines/tests/settings.py	diegodirob/django-nonrelated-inlines	3fef685cc84ea3148323260fd88697c909b545b4	[ "MIT" ]	8	2020-09-11T07:58:17.000Z	2022-02-04T15:11:54.000Z	DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': ':memory:' } } SECRET_KEY = 'supersecret' INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'nonr...	22.806452	65	0.687412	65	707	7.384615	0.6	0.216667	0.070833	0	0	0	0	0	0	0	0.001689	0.162659	707	30	66	23.566667	0.809122	0	0	0	0	0.640736	0.485149	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	3
a2474995fc8c86ff6ab1143913d7983f54ec8c90	465	py	Python	hassio-google-drive-backup/backup/model/__init__.py	voxipbx/hassio-addons	ddf2f1745f4240c2905f9f9d7616a927fb8934e4	[ "MIT" ]	1	2022-01-22T18:27:04.000Z	2022-01-22T18:27:04.000Z	hassio-google-drive-backup/backup/model/__init__.py	voxipbx/hassio-addons	ddf2f1745f4240c2905f9f9d7616a927fb8934e4	[ "MIT" ]	19	2021-09-29T06:13:25.000Z	2022-03-08T06:13:49.000Z	hassio-google-drive-backup/backup/model/__init__.py	voxipbx/hassio-addons	ddf2f1745f4240c2905f9f9d7616a927fb8934e4	[ "MIT" ]	null	null	null	# flake8: noqa from .backupscheme import GenerationalScheme, OldestScheme, GenConfig, BackupScheme from .coordinator import Coordinator from .model import BackupSource, BackupDestination, Model from .syncer import Scyncer from .backups import AbstractBackup, Backup from .drivebackup import DriveBackup from .dummybackup...	38.75	83	0.855914	48	465	8.291667	0.458333	0	0	0	0	0	0	0	0	0	0.002404	0.105376	465	11	84	42.272727	0.954327	0.025806	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	3
a24e32edbb183ef01cf9d0fb4db7dab5b4b26cb6	69	py	Python	beecrowd/extremamentebasico.py	mtsamorim/python	88c08ee9be0d8f809a19ddf0ac5ee94e08587cb6	[ "MIT" ]	null	null	null	beecrowd/extremamentebasico.py	mtsamorim/python	88c08ee9be0d8f809a19ddf0ac5ee94e08587cb6	[ "MIT" ]	null	null	null	beecrowd/extremamentebasico.py	mtsamorim/python	88c08ee9be0d8f809a19ddf0ac5ee94e08587cb6	[ "MIT" ]	null	null	null	num1 = int(input()) num2 = int(input()) print(f'X = {num1 + num2}')	13.8	27	0.565217	11	69	3.545455	0.636364	0.410256	0	0	0	0	0	0	0	0	0.070175	0.173913	69	4	28	17.25	0.614035	0	0	0	0	0.246377	0	0	0	0	0	1	0	false	0	0	0	0	0.333333	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
a2596df4d7cf98f3fa2962ca83cf0ac228043316	85	py	Python	houdini_manage/__init__.py	NiklasRosenstein/houdini-manage	cf6216cb914b97677a0831e490f9943eabed8d79	[ "MIT" ]	7	2018-02-01T05:41:25.000Z	2020-04-03T08:37:05.000Z	houdini_manage/__init__.py	jonbjornn/houdini-manage	cf6216cb914b97677a0831e490f9943eabed8d79	[ "MIT" ]	1	2017-07-19T00:16:03.000Z	2017-07-19T00:16:03.000Z	houdini_manage/__init__.py	jonbjornn/houdini-manage	cf6216cb914b97677a0831e490f9943eabed8d79	[ "MIT" ]	2	2020-02-02T09:57:26.000Z	2020-02-14T10:16:45.000Z	__author__ = 'Niklas Rosenstein <rosensteinniklas@gmail.com>' __version__ = '1.0.0'	21.25	61	0.752941	10	85	5.6	0.9	0	0	0	0	0	0	0	0	0	0.039474	0.105882	85	3	62	28.333333	0.697368	0	0	0	0	0.607143	0.333333	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	3
a27c675795d8aca03098ac13ac4cce453e6f99a5	2,045	py	Python	tests/conftest.py	weilin2018/pyextremes	f68a5cba4f31a7170bfc02287d9ee0f7926b10bc	[ "MIT" ]	null	null	null	tests/conftest.py	weilin2018/pyextremes	f68a5cba4f31a7170bfc02287d9ee0f7926b10bc	[ "MIT" ]	null	null	null	tests/conftest.py	weilin2018/pyextremes	f68a5cba4f31a7170bfc02287d9ee0f7926b10bc	[ "MIT" ]	1	2021-05-07T12:01:45.000Z	2021-05-07T12:01:45.000Z	import pathlib import pandas as pd import pytest root_directory = pathlib.Path(__file__).parent.resolve() @pytest.fixture(scope="session") def shared_data_folder() -> pathlib.Path: return root_directory / "_shared_data" @pytest.fixture(scope="function") def battery_wl(shared_data_folder) -> pd.Series: ret...	23.238636	61	0.622005	257	2,045	4.649805	0.22179	0.117155	0.174059	0.130544	0.771548	0.751464	0.751464	0.653556	0.653556	0.622594	0.015222	0.261125	2,045	87	62	23.505747	0.775645	0	0.535211	0	0	0.091932	0.010269	0	0	0	0	1	0.098592	false	0	0.042254	0.084507	0.239437	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
a288a4eddb23a7c6de4d6837386bb803fa62054f	148	py	Python	TopQuarkAnalysis/Configuration/python/patRefSel_outputModule_cff.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	852	2015-01-11T21:03:51.000Z	2022-03-25T21:14:00.000Z	TopQuarkAnalysis/Configuration/python/patRefSel_outputModule_cff.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	30,371	2015-01-02T00:14:40.000Z	2022-03-31T23:26:05.000Z	TopQuarkAnalysis/Configuration/python/patRefSel_outputModule_cff.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	3,240	2015-01-02T05:53:18.000Z	2022-03-31T17:24:21.000Z	import FWCore.ParameterSet.Config as cms from TopQuarkAnalysis.Configuration.patRefSel_outputModule_cfi import out outpath = cms.EndPath( out )	18.5	73	0.831081	18	148	6.722222	0.833333	0	0	0	0	0	0	0	0	0	0	0.114865	148	7	74	21.142857	0.923664	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.4	0	0.4	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
a29859f5c9a41883d2ab83ed3a243833e393887b	236	py	Python	examples/webExample/server.py	isthisgood/ofxXmlGui	0f470b10348c8eae09891dca50931cc7aab8ffc9	[ "MIT" ]	7	2015-03-15T11:59:02.000Z	2020-01-15T22:21:29.000Z	examples/webExample/server.py	isthisgood/ofxXmlGui	0f470b10348c8eae09891dca50931cc7aab8ffc9	[ "MIT" ]	null	null	null	examples/webExample/server.py	isthisgood/ofxXmlGui	0f470b10348c8eae09891dca50931cc7aab8ffc9	[ "MIT" ]	1	2018-07-16T11:22:41.000Z	2018-07-16T11:22:41.000Z	import BaseHTTPServer import cgi, random, sys import SimpleHTTPServer import os PORT = 8000 httpd = BaseHTTPServer.HTTPServer(("", PORT), SimpleHTTPServer.SimpleHTTPRequestHandler) print "Serving at port", PORT httpd.serve_forever()	19.666667	88	0.800847	26	236	7.230769	0.653846	0	0	0	0	0	0	0	0	0	0.019139	0.114407	236	11	89	21.454545	0.880383	0	0	0	0	0.063559	0	0	0	0	0	0	null	null	0	0.5	null	null	0.125	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	0	3
a2b2c814b1b6b47797cf2b70565767f6797ecd87	70	py	Python	scripts/quest/q53445s.py	Snewmy/swordie	ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17	[ "MIT" ]	null	null	null	scripts/quest/q53445s.py	Snewmy/swordie	ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17	[ "MIT" ]	null	null	null	scripts/quest/q53445s.py	Snewmy/swordie	ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17	[ "MIT" ]	null	null	null	# All-Seer (53445) sm.startQuest(parentID) sm.completeQuest(parentID)	17.5	26	0.785714	9	70	6.111111	0.777778	0	0	0	0	0	0	0	0	0	0.076923	0.071429	70	4	26	17.5	0.769231	0.228571	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
a2d4e8c4f0919fed4da4c2cd6aefdb5cb1902d78	852	py	Python	nxmetis/metis.py	sclable/networkx-metis	34398b7046d71b62c5bd3b90b35f4fe02fb5abc7	[ "Apache-2.0" ]	69	2015-05-23T16:24:37.000Z	2022-03-14T14:04:08.000Z	nxmetis/metis.py	sclable/networkx-metis	34398b7046d71b62c5bd3b90b35f4fe02fb5abc7	[ "Apache-2.0" ]	68	2015-05-23T14:16:14.000Z	2021-10-11T10:59:47.000Z	nxmetis/metis.py	sclable/networkx-metis	34398b7046d71b62c5bd3b90b35f4fe02fb5abc7	[ "Apache-2.0" ]	25	2015-05-23T05:58:34.000Z	2022-03-09T17:31:55.000Z	""" This module is a wrapper of the ``_metis`` extension generated from ``_metis.pyx``. This is to let sphinx import the module for documentation builds with or without the ``_metis`` extension. """ try: from nxmetis import _metis except ImportError: def node_nd(args, *kwargs): raise Excep...	34.08	68	0.711268	108	852	5.37037	0.416667	0.068966	0.103448	0.165517	0.353448	0.353448	0.353448	0.353448	0.268966	0	0	0.190141	852	24	69	35.5	0.84058	0.223005	0.25	1	0	0.180685	0	0	0	0	0	1	0.25	false	0	0.125	0	0.375	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	1	0	0	0	0	0	0	3
a2e3e0144791eaa87dbc04d153a2cbfec515248e	49,625	py	Python	authnzerver/actions/email.py	waqasbhatti/authnzerver	d40fa38601f4f11e966fc52e11ad6fe1116bb145	[ "MIT" ]	3	2019-06-02T12:57:08.000Z	2020-04-01T14:00:12.000Z	authnzerver/actions/email.py	waqasbhatti/authnzerver	d40fa38601f4f11e966fc52e11ad6fe1116bb145	[ "MIT" ]	7	2020-03-17T21:55:41.000Z	2020-07-07T22:58:48.000Z	authnzerver/actions/email.py	waqasbhatti/authnzerver	d40fa38601f4f11e966fc52e11ad6fe1116bb145	[ "MIT" ]	2	2020-03-04T06:56:27.000Z	2020-03-24T08:39:11.000Z	# -- coding: utf-8 -- # actions_email.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - Aug 2018 # License: MIT - see the LICENSE file for the full text. """This contains functions to drive email-related auth actions. """ ############# ## LOGGING ## ############# import logging # get a logger LOGGER = logging.ge...	31.954282	80	0.565602	5,354	49,625	5.087411	0.087785	0.026434	0.02056	0.02111	0.746127	0.70967	0.689662	0.678133	0.6651	0.647368	0.000884	0.339023	49,625	1,552	81	31.974871	0.829517	0.213662	0.682759	0	0	0.26746	0.019815	0	0	0.001289	0	1	0.007882	false	0.060099	0.015764	0.002956	0.061084	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	3
a2ee5016384c0140b5c9af1a1dcb15da9f449e54	277	py	Python	molo/core/mixins.py	Ishma59/molo	4fd31df9266bc251e09e9339a132d3ccd4143c69	[ "BSD-2-Clause" ]	25	2015-09-26T13:45:30.000Z	2018-09-13T14:12:20.000Z	molo/core/mixins.py	Ishma59/molo	4fd31df9266bc251e09e9339a132d3ccd4143c69	[ "BSD-2-Clause" ]	510	2015-05-29T09:30:44.000Z	2018-12-11T09:08:11.000Z	molo/core/mixins.py	Ishma59/molo	4fd31df9266bc251e09e9339a132d3ccd4143c69	[ "BSD-2-Clause" ]	5	2020-03-26T19:30:13.000Z	2020-09-04T16:35:59.000Z	class PageEffectiveImageMixin(object): def get_effective_image(self): if self.image: return self.image page = self.get_main_language_page() if page.specific.image: return page.specific.get_effective_image() return ''	30.777778	54	0.642599	31	277	5.516129	0.451613	0.192982	0.19883	0	0	0	0	0	0	0	0	0.277978	277	8	55	34.625	0.855	0	0	0	0	0	0	0	0	0	0	1	0.125	false	0	0	0	0.625	0	0	0	0	null	0	1	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
a2f1c23efb3f7a0be3a4f09ee0e3475fc0996382	4,521	py	Python	docs/tutorials/blackboxoptimization.py	schaul/pybrain	6e1bd1e9b232044a4e0498fd63799b31ce50f460	[ "BSD-3-Clause" ]	4	2015-01-01T14:57:38.000Z	2018-07-12T04:21:36.000Z	docs/tutorials/blackboxoptimization.py	abhishekgahlot/pybrain	c54661f13857d5bcb0095ba2fb12f5a403a4a70f	[ "BSD-3-Clause" ]	null	null	null	docs/tutorials/blackboxoptimization.py	abhishekgahlot/pybrain	c54661f13857d5bcb0095ba2fb12f5a403a4a70f	[ "BSD-3-Clause" ]	2	2015-01-23T09:23:58.000Z	2019-02-22T05:42:29.000Z	############################################################################ # PyBrain Tutorial "Black Box Optimization" # # Author: Tom Schaul, tom@idsia.ch ############################################################################ __author__ = 'Tom Schaul, tom@idsia.ch' """ A script that attempts to illustrate a...	43.471154	106	0.693209	498	4,521	6.269076	0.38755	0.092249	0.163357	0.206919	0.30173	0.215247	0.040999	0	0	0	0.007256	0.176952	4,521	103	107	43.893204	0.831766	0.020349	0	0	0	0.139245	0	0	0	0	0	0	null	null	0	0.12766	null	null	0.531915	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	1	3
a2f24cf445d3bd7d09e63d88b2006458760e0a2c	170	py	Python	pythonexercicios/ex074.py	andrebatist4/cursoemvideo-python	a12b0023f01a38cc3fc5bb59aad5ad8a3e54f6d3	[ "MIT" ]	null	null	null	pythonexercicios/ex074.py	andrebatist4/cursoemvideo-python	a12b0023f01a38cc3fc5bb59aad5ad8a3e54f6d3	[ "MIT" ]	null	null	null	pythonexercicios/ex074.py	andrebatist4/cursoemvideo-python	a12b0023f01a38cc3fc5bb59aad5ad8a3e54f6d3	[ "MIT" ]	null	null	null	import numpy as np alea = (np.random.randint(0, 10, (5))) print(alea) print(f'O maior número sorteado foi {max(alea)}') print(f'O menor número sorteado foi {min(alea)}')	28.333333	49	0.7	31	170	3.83871	0.645161	0.151261	0.168067	0.184874	0	0	0	0	0	0	0.027027	0.129412	170	5	50	34	0.777027	0	0	0	0	0.458824	0	0	0	0	0	1	0	false	0	0.2	0	0.2	0.6	0	0	0	null	0	0	1	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
0c0ab7a2bcfba9f1be100583a32b86d155acf84e	255	py	Python	Singleton/module.py	Supegg/Python_demo	0ef0ba9edd2fa7e96b197549187292981bbdaf88	[ "MIT" ]	null	null	null	Singleton/module.py	Supegg/Python_demo	0ef0ba9edd2fa7e96b197549187292981bbdaf88	[ "MIT" ]	null	null	null	Singleton/module.py	Supegg/Python_demo	0ef0ba9edd2fa7e96b197549187292981bbdaf88	[ "MIT" ]	null	null	null	class Singleton(object): def __init__(self): self.x = 0 def foo(self): pass singleton = Singleton() ''' Python 的模块就是天然的单例模式，因为模块在第一次导入时，会生成 .pyc 文件，当第二次导入时，就会直接加载 .pyc 文件，而不会再次执行模块代码。因此，我们只需把相关的函数和数据定义在一个模块中，就可以获得一个单例对象了。 '''	17	44	0.682353	29	255	5.862069	0.758621	0.058824	0	0	0	0	0	0	0	0	0.004878	0.196078	255	15	45	17	0.82439	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0.166667	0	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	0	3
0c0ad941b0c1c18d762cf50bdf2528c20056a0c7	908	py	Python	model/sha.py	Manu343726/biicode-common	91b32c6fd1e4a72ce5451183f1766d313cd0e420	[ "MIT" ]	17	2015-04-15T09:40:23.000Z	2017-05-17T20:34:49.000Z	model/sha.py	Manu343726/biicode-common	91b32c6fd1e4a72ce5451183f1766d313cd0e420	[ "MIT" ]	2	2015-04-22T11:29:36.000Z	2018-09-25T09:31:09.000Z	model/sha.py	bowlofstew/common	45e9ca902be7bbbdd73dafe3ab8957bc4a006020	[ "MIT" ]	22	2015-04-15T09:46:00.000Z	2020-09-29T17:03:31.000Z	import hashlib import bson class SHABuilder(object): def __init__(self, value=None): self.md = hashlib.sha1() if value: self.md.update(value) def __iadd__(self, item): if isinstance(item, (set, list, tuple)): for elem in sorted(item): self.md.u...	21.619048	81	0.590308	112	908	4.5625	0.482143	0.058708	0.07045	0	0	0	0	0	0	0	0.001597	0.310573	908	41	82	22.146341	0.814696	0.112335	0	0	0	0.011321	0	0	0	0	0	1	0.25	false	0	0.071429	0.142857	0.642857	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
0c223b5b283383a30c7e4b5589fdce131d3c18f0	3,622	py	Python	civet/minc.py	FNNDSC/pycivet	440839d8dcb3413ec96d06945498a6a9ec710204	[ "MIT" ]	null	null	null	civet/minc.py	FNNDSC/pycivet	440839d8dcb3413ec96d06945498a6a9ec710204	[ "MIT" ]	null	null	null	civet/minc.py	FNNDSC/pycivet	440839d8dcb3413ec96d06945498a6a9ec710204	[ "MIT" ]	null	null	null	""" Defines types and operations related to MINC files. """ from dataclasses import dataclass from os import PathLike from typing import Literal, TypeVar, Generic, Optional from civet.bases import DataFile from civet.extraction.kernels import ngh_count_kernel _M = TypeVar('_M', bound='GenericMinc') _V = TypeVar('_V',...	32.339286	108	0.597736	384	3,622	5.476563	0.328125	0.085592	0.068474	0.08369	0.224917	0.113172	0.081788	0.042796	0	0	0.009571	0.278851	3,622	111	109	32.630631	0.795559	0.066538	0.333333	0	0	0.121239	0.014001	0	0	0	0	1	0.230769	false	0.025641	0.064103	0.102564	0.602564	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
0c33a6ce2d16563f97f43f77f5013b9f95d0eed3	98	py	Python	django_day07/related_demo/apps.py	maoxuelin083/Django-Study	6eb332a97c898b11e6d1c1faf80dbb14f4f835c6	[ "Apache-2.0" ]	null	null	null	django_day07/related_demo/apps.py	maoxuelin083/Django-Study	6eb332a97c898b11e6d1c1faf80dbb14f4f835c6	[ "Apache-2.0" ]	null	null	null	django_day07/related_demo/apps.py	maoxuelin083/Django-Study	6eb332a97c898b11e6d1c1faf80dbb14f4f835c6	[ "Apache-2.0" ]	null	null	null	from django.apps import AppConfig class RelatedDemoConfig(AppConfig): name = 'related_demo'	16.333333	35	0.77551	11	98	6.818182	0.909091	0	0	0	0	0	0	0	0	0	0	0.153061	98	5	36	19.6	0.903614	0	0	0	0	0.122449	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
0c34fd59f716fd2db93dffd8611e610c2e33e856	1,575	py	Python	Notatki/Obliczenia-naukowe/NumPy/NumPy.py	bzglinicki/python-trainin	4839514572cfd484f17f8a6473d259f807b9f690	[ "MIT" ]	1	2021-03-10T22:32:40.000Z	2021-03-10T22:32:40.000Z	Notatki/Obliczenia-naukowe/NumPy/NumPy.py	bzglinicki/python-trainin	4839514572cfd484f17f8a6473d259f807b9f690	[ "MIT" ]	null	null	null	Notatki/Obliczenia-naukowe/NumPy/NumPy.py	bzglinicki/python-trainin	4839514572cfd484f17f8a6473d259f807b9f690	[ "MIT" ]	1	2021-03-20T21:01:37.000Z	2021-03-20T21:01:37.000Z	# Programowanie I R # Pakiet NumPy import numpy as np arr_list = np.array([1, 2, 3, 4, 5]) print(arr_list) print(type(arr_list)) print() arr_tuple = np.array((1, 2, 3, 4, 5)) print(arr_tuple) print(type(arr_tuple)) print() arr = np.array(42) print(arr) print(arr.ndim) print() arr = np.array([[1, 2, 3], [4, 5, 6]...	18.313953	84	0.486349	267	1,575	2.846442	0.172285	0.336842	0.043421	0.057895	0.621053	0.555263	0.555263	0.428947	0.428947	0.376316	0.104839	0.133968	1,575	86	85	18.313953	0.452346	0.177143	0.466667	0	0	0	0	0	0	0	0	1	0	false	0	0.016667	0	0.016667	0.7	0	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
0c37f3da8b9d4fa16078e5a88468209236dbddd2	1,033	py	Python	qcloudsdkds/MngCountQueryRequest.py	f3n9/qcloudcli	b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19	[ "Apache-2.0" ]	null	null	null	qcloudsdkds/MngCountQueryRequest.py	f3n9/qcloudcli	b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19	[ "Apache-2.0" ]	null	null	null	qcloudsdkds/MngCountQueryRequest.py	f3n9/qcloudcli	b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- from qcloudsdkcore.request import Request class MngCountQueryRequest(Request): def __init__(self): super(MngCountQueryRequest, self).__init__( 'ds', 'qcloudcliV1', 'MngCountQuery', 'ds.api.qcloud.com') def get_beginTime(self): return self.get_params().get(...	25.825	70	0.649564	125	1,033	5.144	0.24	0.046656	0.108865	0.132193	0.202177	0.202177	0	0	0	0	0.002463	0.21394	1,033	39	71	26.487179	0.789409	0.020329	0	0	0	0.111881	0	0	0	0	0	1	0.44	false	0	0.04	0.2	0.72	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
0c48928f28f2c61afde2d61eedf6ce41abd62963	62	py	Python	flatpak_indexer/datasource/fedora/__init__.py	kalev/flatpak-indexer	540bdb465e73b0c4627ddbeb649dddcca4b24b59	[ "MIT" ]	null	null	null	flatpak_indexer/datasource/fedora/__init__.py	kalev/flatpak-indexer	540bdb465e73b0c4627ddbeb649dddcca4b24b59	[ "MIT" ]	null	null	null	flatpak_indexer/datasource/fedora/__init__.py	kalev/flatpak-indexer	540bdb465e73b0c4627ddbeb649dddcca4b24b59	[ "MIT" ]	null	null	null	from .updater import FedoraUpdater __all__ = [FedoraUpdater]	15.5	34	0.806452	6	62	7.666667	0.833333	0	0	0	0	0	0	0	0	0	0	0.129032	62	3	35	20.666667	0.851852	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
0c5442bfc1ee309f4ca9f49956688b283d424edc	1,687	py	Python	eva/catalog/df_schema.py	LordDarkula/eva	93433bc88f361c277690c9e31f1b8de657f25823	[ "Apache-2.0" ]	null	null	null	eva/catalog/df_schema.py	LordDarkula/eva	93433bc88f361c277690c9e31f1b8de657f25823	[ "Apache-2.0" ]	null	null	null	eva/catalog/df_schema.py	LordDarkula/eva	93433bc88f361c277690c9e31f1b8de657f25823	[ "Apache-2.0" ]	null	null	null	# coding=utf-8 # Copyright 2018-2020 EVA # # 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 ...	29.596491	74	0.700059	225	1,687	5.022222	0.422222	0.079646	0.061947	0.028319	0	0	0	0	0	0	0.009901	0.221695	1,687	56	75	30.125	0.850724	0.330765	0.133333	0	0	0.01167	0	0	0	0	0	1	0.233333	false	0	0.1	0.166667	0.566667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
0c641125a598ebb1a1b2a1ccdcd0e78f374defe8	1,203	py	Python	system_monitor/tests/test_exception_handling.py	weijia/system-monitor	1f7f7275905d32e0d76e446609a681a728042fbd	[ "MIT" ]	null	null	null	system_monitor/tests/test_exception_handling.py	weijia/system-monitor	1f7f7275905d32e0d76e446609a681a728042fbd	[ "MIT" ]	null	null	null	system_monitor/tests/test_exception_handling.py	weijia/system-monitor	1f7f7275905d32e0d76e446609a681a728042fbd	[ "MIT" ]	null	null	null	from django.test import TestCase from system_monitor.cmd_handler_with_alarm_report import CmdHandlerWithAlarmReport # noinspection PyMethodMayBeStatic class HandlerClassBaseStub(object): def get_task_object_ufs_url(self): return "ufs://handler_class_stub" def get_subject_for_error(self): ret...	25.0625	82	0.768911	112	1,203	8.017857	0.410714	0.044543	0.080178	0.035635	0.129176	0	0	0	0	0	0	0.173732	1,203	47	83	25.595745	0.903421	0.054032	0.142857	0	0	0.061674	0.021145	0	0	0	0	1	0.285714	false	0.035714	0.071429	0.142857	0.785714	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
a759467b5f569ab342151510b3bf8f6e3b52449e	404	py	Python	519-DeepLearning/assignment1/NN/Loss.py	neale/CS-program	6fef9c39579143bde0ab5d1ec5fedc7210e55814	[ "Unlicense" ]	1	2016-10-24T13:36:23.000Z	2016-10-24T13:36:23.000Z	519-DeepLearning/assignment1/NN/Loss.py	neale/CS-program	6fef9c39579143bde0ab5d1ec5fedc7210e55814	[ "Unlicense" ]	null	null	null	519-DeepLearning/assignment1/NN/Loss.py	neale/CS-program	6fef9c39579143bde0ab5d1ec5fedc7210e55814	[ "Unlicense" ]	null	null	null	import numpy as np class CrossEntropy(object): def __init__(self): pass def forward(self, out, y): loss = lambda x, y: -(ynp.log(x +.0001)) - ((1.01 - y) np.log(1.01 - x)) if out.ndim > 1: return np.mean(loss(out, y)) else: return loss(ou...	18.363636	83	0.490099	58	404	3.344828	0.482759	0.103093	0.082474	0	0	0	0	0	0	0	0.042969	0.366337	404	21	84	19.238095	0.714844	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0.083333	0.083333	0.083333	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	0	3
a75990ee887c616128c3876060a09c657908324b	2,359	py	Python	src/tests/test_Problem41.py	Joyce-NL/gep-python-coding-challenge	58639076537535870eedb9909135788909fb6fc3	[ "MIT" ]	null	null	null	src/tests/test_Problem41.py	Joyce-NL/gep-python-coding-challenge	58639076537535870eedb9909135788909fb6fc3	[ "MIT" ]	null	null	null	src/tests/test_Problem41.py	Joyce-NL/gep-python-coding-challenge	58639076537535870eedb9909135788909fb6fc3	[ "MIT" ]	null	null	null	import unittest from Problem41 import find_largest_pandigital_prime, is_prime_number class TestProblem41(unittest.TestCase): def test_main_function(self): self.assertEqual(find_largest_pandigital_prime(1, 9), 7652413, 'the result of the function does not match the expected result.') self.assertEqua...	60.487179	136	0.726155	331	2,359	4.936556	0.175227	0.100979	0.192778	0.238678	0.746022	0.685435	0.616891	0.590575	0.560588	0.560588	0.034573	0.190759	2,359	38	137	62.078947	0.821372	0	0	0	0	0.322594	0	0	0	0	0.4375	1	0.125	false	0	0.0625	0	0.21875	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	3
a75a81a34e3334c7472b1edc99a625a2bb63418b	408	py	Python	Data Structures/Array/ElementInInfiniteArray.py	prabhupant/daily-coding-problem	b3775dd0ad823823e60100624ccf14235c446098	[ "MIT" ]	null	null	null	Data Structures/Array/ElementInInfiniteArray.py	prabhupant/daily-coding-problem	b3775dd0ad823823e60100624ccf14235c446098	[ "MIT" ]	null	null	null	Data Structures/Array/ElementInInfiniteArray.py	prabhupant/daily-coding-problem	b3775dd0ad823823e60100624ccf14235c446098	[ "MIT" ]	null	null	null	def binary_search(arr, l, r, x): while l =< r: mid = l + (r-l)/2 if arr[mid] == x: return mid elif arr[mid] > x: r = mid - 1 else: l = mid + 1 return -1 def find_pos(arr, key): l = 0 h = 1 val = arr[0] while val < key: ...	17	40	0.401961	64	408	2.515625	0.328125	0.037267	0.186335	0.198758	0	0	0	0	0	0	0.037037	0.470588	408	23	41	17.73913	0.708333	0	0	0	0	0	0	0	0	0	0	0	null	null	0	0	null	null	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	3
a774603173901e2d73069f0e8070e5c90eecb671	4,939	py	Python	src/Core/DevOps/Locust/common/store_api.py	michielkalle/platform	72987304b01c1c666c7ac2896ac4157f2e1468c1	[ "MIT" ]	null	null	null	src/Core/DevOps/Locust/common/store_api.py	michielkalle/platform	72987304b01c1c666c7ac2896ac4157f2e1468c1	[ "MIT" ]	null	null	null	src/Core/DevOps/Locust/common/store_api.py	michielkalle/platform	72987304b01c1c666c7ac2896ac4157f2e1468c1	[ "MIT" ]	null	null	null	import random import json import uuid import time import requests from locust.exception import RescheduleTask class StoreApi: context: None def __init__(self, client, context): self.context = context self.client = client self.currency_id = random.choice(self.context.sales_channel['curr...	36.858209	135	0.620166	533	4,939	5.692308	0.210131	0.068886	0.100198	0.118985	0.409031	0.390574	0.290046	0.156559	0.071193	0.071193	0.003429	0.232436	4,939	133	136	37.135338	0.796887	0	0.09901	0	0	0.240583	0.064601	0	0	0	0	1	0.217822	false	0.009901	0.059406	0.168317	0.514851	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
a77c4356baff61d2b6990feb7435af8aa0153e4c	1,750	py	Python	Project Code/Statistic with Numpy/Project 3 Election Results/script.py	BIGG000/Data-Science-Learning-Track	46df939699fd6b2c1ee3ce5d35c51a250faa1bce	[ "MIT" ]	2	2020-10-15T22:52:00.000Z	2020-11-22T16:13:20.000Z	Project Code/Statistic with Numpy/Project 3 Election Results/script.py	BIGG000/Data-Science-Learning-Track	46df939699fd6b2c1ee3ce5d35c51a250faa1bce	[ "MIT" ]	null	null	null	Project Code/Statistic with Numpy/Project 3 Election Results/script.py	BIGG000/Data-Science-Learning-Track	46df939699fd6b2c1ee3ce5d35c51a250faa1bce	[ "MIT" ]	null	null	null	import codecademylib import numpy as np import matplotlib.pyplot as plt survey_responses = ['Ceballos', 'Kerrigan', 'Ceballos', 'Ceballos', 'Ceballos','Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Kerrigan',...	51.470588	239	0.724	211	1,750	5.876777	0.218009	0.309677	0.232258	0.283871	0.545161	0.532258	0.532258	0.532258	0.525806	0.487097	0.025498	0.081143	1,750	33	240	53.030303	0.745647	0.032571	0	0	0	0.373373	0	0	0	0	0	1	0	false	0	0.142857	0	0.142857	0.238095	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
a7aeafb18ee175e470c2818aad6a821f78ee2207	115	py	Python	deploy/virenv/lib/python2.7/site-packages/ptrace/version.py	wangvictor2012/liuwei	0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1	[ "BSD-3-Clause" ]	null	null	null	deploy/virenv/lib/python2.7/site-packages/ptrace/version.py	wangvictor2012/liuwei	0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1	[ "BSD-3-Clause" ]	null	null	null	deploy/virenv/lib/python2.7/site-packages/ptrace/version.py	wangvictor2012/liuwei	0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1	[ "BSD-3-Clause" ]	null	null	null	PACKAGE = "python-ptrace" VERSION = "0.9" WEBSITE = "http://python-ptrace.readthedocs.org/" LICENSE = "GNU GPL v2"	23	49	0.695652	16	115	5	0.875	0.3	0	0	0	0	0	0	0	0	0.029703	0.121739	115	4	50	28.75	0.762376	0	0	0	0	0.547826	0	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
a7be5b85b4ff0b938aed4d77c1eb70318f8a2920	52	py	Python	datacoco_email_tools/__init__.py	equinoxfitness/datacoco-email_tools	4ed70d3d57d40954622e1a0a22dda2c0619b9e7a	[ "MIT" ]	2	2020-01-09T09:25:11.000Z	2020-01-15T13:33:16.000Z	datacoco_email_tools/__init__.py	meikalei/datacoco-email_tools	fd230187589293ace9f67cec8e1c71765e959e08	[ "MIT" ]	null	null	null	datacoco_email_tools/__init__.py	meikalei/datacoco-email_tools	fd230187589293ace9f67cec8e1c71765e959e08	[ "MIT" ]	2	2020-01-08T14:00:21.000Z	2021-06-23T10:59:38.000Z	from .email_tools import Email __all__ = ["Email"]	13	30	0.730769	7	52	4.714286	0.714286	0	0	0	0	0	0	0	0	0	0	0.153846	52	3	31	17.333333	0.75	0	0	0	0	0.096154	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
a7c0d21cad36acc10da2753e5d9383bc15620a24	771	py	Python	PlanheatMappingModule/PlanHeatDMM/model/refurbishment_level.py	Planheat/Planheat-Tool	9764fcb86d3898b232c4cc333dab75ebe41cd421	[ "MIT" ]	2	2020-04-07T03:43:33.000Z	2021-03-23T13:17:42.000Z	PlanheatMappingModule/PlanHeatDMM/model/refurbishment_level.py	Planheat/Planheat-Tool	9764fcb86d3898b232c4cc333dab75ebe41cd421	[ "MIT" ]	1	2020-07-20T09:56:13.000Z	2020-07-22T10:26:06.000Z	PlanheatMappingModule/PlanHeatDMM/model/refurbishment_level.py	Planheat/Planheat-Tool	9764fcb86d3898b232c4cc333dab75ebe41cd421	[ "MIT" ]	1	2020-07-20T09:40:15.000Z	2020-07-20T09:40:15.000Z	# -- coding: utf-8 -- """ Model Map refurbishment_level table :author: Sergio Aparicio Vegas :version: 0.2 :date: 29 Nov 2017 """ __docformat__ = "restructuredtext" class RefurbishmentLevel(): """ Refurbishment level options """ def __init__(self): self.__id = 0 self._...	19.275	68	0.50454	77	771	4.675325	0.428571	0.066667	0.05	0	0	0	0	0	0	0	0.021097	0.385214	771	40	69	19.275	0.738397	0.203632	0.105263	0	0	0.044143	0	0	0	0	0	1	0.315789	false	0	0	0.157895	0.526316	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
a7caf594d96d04a564b9da163b1661cf7ae48cfe	92	py	Python	med_files_api/medicine/apps.py	TheProrok29/med-files-api	4f00ea016143f04106fce34e86c630081ed6d46a	[ "MIT" ]	null	null	null	med_files_api/medicine/apps.py	TheProrok29/med-files-api	4f00ea016143f04106fce34e86c630081ed6d46a	[ "MIT" ]	6	2021-03-30T13:02:39.000Z	2022-03-12T00:24:41.000Z	med_files_api/medicine/apps.py	TheProrok29/med-files-api	4f00ea016143f04106fce34e86c630081ed6d46a	[ "MIT" ]	null	null	null	from django.apps import AppConfig class MedicinesConfig(AppConfig): name = 'medicine'	15.333333	33	0.76087	10	92	7	0.9	0	0	0	0	0	0	0	0	0	0	0.163043	92	5	34	18.4	0.909091	0	0	0	0	0.086957	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
a7d69a02c31fbc23a5869db104324cb1fbba9dab	1,003	py	Python	users/migrations/0005_auto_20210214_0117.py	LuisManuelGlz/twitter-clone-server	a794f3322b9a02b480f026e4ce1342f9c4641d7d	[ "MIT" ]	null	null	null	users/migrations/0005_auto_20210214_0117.py	LuisManuelGlz/twitter-clone-server	a794f3322b9a02b480f026e4ce1342f9c4641d7d	[ "MIT" ]	null	null	null	users/migrations/0005_auto_20210214_0117.py	LuisManuelGlz/twitter-clone-server	a794f3322b9a02b480f026e4ce1342f9c4641d7d	[ "MIT" ]	null	null	null	# Generated by Django 3.1.6 on 2021-02-14 01:17 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0004_auto_20210212_0515'), ] operations = [ migrations.AddField( model_name='profile', name='followers', ...	29.5	121	0.591226	97	1,003	5.938144	0.443299	0.114583	0.159722	0.1875	0.711806	0.711806	0.586806	0.392361	0.392361	0.211806	0.046154	0.287139	1,003	33	122	30.393939	0.759441	0.044865	0.518519	1	0	0.177824	0.024059	0	0	0	0	1	0	false	0	0.037037	0	0.148148	0	0	0	0	null	0	0	1	0	1	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	3
a7d8c6b26c4932d169601dc3941f353ab4be4cb1	852	py	Python	src/model/create_dataset.py	Nix-code/Nix-code-Neural-Machine-Translation-communication-system-to-diminish-language-barrier	f54d3ad007a3a6b20101522bf9cc6300fb89cdf7	[ "MIT" ]	9	2021-12-31T01:31:41.000Z	2022-01-09T12:24:28.000Z	src/model/create_dataset.py	Nix-code/Nix-code-Neural-Machine-Translation-communication-system-to-diminish-language-barrier	f54d3ad007a3a6b20101522bf9cc6300fb89cdf7	[ "MIT" ]	null	null	null	src/model/create_dataset.py	Nix-code/Nix-code-Neural-Machine-Translation-communication-system-to-diminish-language-barrier	f54d3ad007a3a6b20101522bf9cc6300fb89cdf7	[ "MIT" ]	2	2021-12-31T01:31:44.000Z	2022-01-04T11:41:39.000Z	# Neural Machine Translation communication system from preprocess import* """ Cleaning the messages for better data processing. Making two langauge pairs """ def create_dataset(location, sample_size): """Location is the path of the data and sample_size is the total size we are taking from entire dataset. S...	29.37931	89	0.710094	128	852	4.625	0.554688	0.084459	0.060811	0	0	0	0	0	0	0	0.009986	0.17723	852	28	90	30.428571	0.834522	0.271127	0	0	0	0.021077	0	0	0	0	0	1	0.222222	false	0	0.111111	0.111111	0.555556	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
a7d9b4905a19b571128e06acc5f63faa268622ea	87	py	Python	2 semester/PW/Coursera/Python/5 Week/8.py	kurpenok/Labs	069c92b7964a1445d093313b38ebdc56318d2a73	[ "MIT" ]	1	2022-02-06T17:50:25.000Z	2022-02-06T17:50:25.000Z	2 semester/PW/Coursera/Python/5 Week/8.py	kurpenok/Labs	069c92b7964a1445d093313b38ebdc56318d2a73	[ "MIT" ]	null	null	null	2 semester/PW/Coursera/Python/5 Week/8.py	kurpenok/Labs	069c92b7964a1445d093313b38ebdc56318d2a73	[ "MIT" ]	1	2022-03-02T06:45:06.000Z	2022-03-02T06:45:06.000Z	a = list(map(int, input().split())) print(max(a), len(a) - a[::-1].index(max(a)) - 1)	21.75	49	0.528736	17	87	2.705882	0.647059	0.173913	0	0	0	0	0	0	0	0	0.026316	0.126437	87	3	50	29	0.578947	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
a7dcfaa1aacc650fb632393dfedcdb4b5e0f1eb7	549	py	Python	Model/User.py	TheConstructRIT/Machine-Swipe-System	857e5c5205638a212736d58ac9e1ae27fa300946	[ "MIT" ]	null	null	null	Model/User.py	TheConstructRIT/Machine-Swipe-System	857e5c5205638a212736d58ac9e1ae27fa300946	[ "MIT" ]	null	null	null	Model/User.py	TheConstructRIT/Machine-Swipe-System	857e5c5205638a212736d58ac9e1ae27fa300946	[ "MIT" ]	null	null	null	""" Zachary Cook Class representing a lab user. """ """ Class for a user. """ class User(): """ Constructor for the user. """ def __init__(self,id,maxSessionTime,accessType="UNAUTHORIZED"): self.id = id self.accessType = accessType self.maxSessionTime = maxSessionTime """ Returns the user's id. """ de...	15.25	64	0.68306	68	549	5.455882	0.426471	0.056604	0.113208	0	0	0	0	0	0	0	0	0.183971	549	36	65	15.25	0.828125	0.127505	0	0	0	0.037383	0	0	0	0	0	1	0.363636	false	0	0	0.272727	0.727273	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
38ef2f6abf203e5524bd4b5ec3b28f9fb7b7e241	36,490	py	Python	pycatia/hybrid_shape_interfaces/hybrid_shape_sweep_conic.py	evereux/catia_python	08948585899b12587b0415ce3c9191a408b34897	[ "MIT" ]	90	2019-02-21T10:05:28.000Z	2022-03-19T01:53:41.000Z	pycatia/hybrid_shape_interfaces/hybrid_shape_sweep_conic.py	Luanee/pycatia	ea5eef8178f73de12404561c00baf7a7ca30da59	[ "MIT" ]	99	2019-05-21T08:29:12.000Z	2022-03-25T09:55:15.000Z	pycatia/hybrid_shape_interfaces/hybrid_shape_sweep_conic.py	Luanee/pycatia	ea5eef8178f73de12404561c00baf7a7ca30da59	[ "MIT" ]	26	2019-04-04T06:31:36.000Z	2022-03-30T07:24:47.000Z	#! usr/bin/python3.6 """ Module initially auto generated using V5Automation files from CATIA V5 R28 on 2020-07-06 14:02:20.222384 .. warning:: The notes denoted "CAA V5 Visual Basic Help" are to be used as reference only. They are there as a guide as to how the visual basic / catscript function...	37.425641	119	0.565799	3,890	36,490	5.133933	0.084576	0.036353	0.051274	0.066246	0.735517	0.676531	0.602173	0.57223	0.557208	0.546142	0.036992	0.362154	36,490	974	120	37.464066	0.821053	0.60929	0.125	1	0	0.004293	0.004293	0	0	0	0	1	0.352941	false	0	0.029412	0.007353	0.639706	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	1	0	0	0	0	1	0	3
ac131b8245d5044a1d1954cbe329ce3bab401b27	242	py	Python	{{cookiecutter.project_slug}}/src/users/factory.py	nvo87/django	fd07fb74ab59e868c73512cd0ca4952129b44cd8	[ "MIT" ]	98	2020-04-21T20:22:16.000Z	2021-06-07T12:33:51.000Z	{{cookiecutter.project_slug}}/src/users/factory.py	nvo87/django	fd07fb74ab59e868c73512cd0ca4952129b44cd8	[ "MIT" ]	70	2020-04-21T21:59:49.000Z	2021-06-13T13:35:01.000Z	{{cookiecutter.project_slug}}/src/users/factory.py	ginsenghillock/django	65ab4f52897ca7efdfde347383153fca4f2d2c14	[ "MIT" ]	23	2020-04-23T06:03:13.000Z	2021-06-09T06:59:34.000Z	from django.contrib.auth.models import AnonymousUser from app.testing import register @register def user(self, kwargs): return self.mixer.blend('users.User', kwargs) @register def anon(self, **kwargs): return AnonymousUser()	17.285714	52	0.735537	31	242	5.741935	0.612903	0.123596	0.179775	0	0	0	0	0	0	0	0	0.140496	242	13	53	18.615385	0.855769	0	0.25	0	0	0.041322	0	0	0	0	0	1	0.25	false	0	0.25	0.25	0.75	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
ac383c785b7e03f22fe53c30a131bdc8776ecf99	186	py	Python	amazon/sentiment.py	chanduparmar/Amazon_Website_Scraping_Scrapy	e63dd2592bc1ba9de26d091f398f29a8200592b6	[ "MIT" ]	4	2018-06-27T15:52:17.000Z	2020-01-11T14:44:09.000Z	amazon/sentiment.py	chanduparmar/Amazon_Website_Scraping_Scrapy	e63dd2592bc1ba9de26d091f398f29a8200592b6	[ "MIT" ]	null	null	null	amazon/sentiment.py	chanduparmar/Amazon_Website_Scraping_Scrapy	e63dd2592bc1ba9de26d091f398f29a8200592b6	[ "MIT" ]	2	2018-08-24T03:27:42.000Z	2020-09-01T00:46:01.000Z	import pandas as pd import numpy as np import matplotlib.pyplot as plt import nltk from nltk.corpus import stopwords amazon = pd.read_csv('amazon.csv') print(amazon.head())	20.666667	35	0.736559	29	186	4.689655	0.62069	0	0	0	0	0	0	0	0	0	0	0.188172	186	8	36	23.25	0.900662	0	0	0	0	0.05618	0	0	0	0	0	1	0	false	0	0.714286	0	0.714286	0.142857	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
ac48806aabb549d4efbed82ef7a386e8484be02c	152	py	Python	HSInfo/projeto/apps.py	burgues0/django-basic-site	3ea157f0c8aa3dd02c42edb2d448e6e2bddf7c07	[ "MIT" ]	null	null	null	HSInfo/projeto/apps.py	burgues0/django-basic-site	3ea157f0c8aa3dd02c42edb2d448e6e2bddf7c07	[ "MIT" ]	null	null	null	HSInfo/projeto/apps.py	burgues0/django-basic-site	3ea157f0c8aa3dd02c42edb2d448e6e2bddf7c07	[ "MIT" ]	null	null	null	from django.apps import AppConfig class ProjetoConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'projeto'	21.714286	57	0.730263	17	152	6.411765	0.882353	0	0	0	0	0	0	0	0	0	0	0.184211	152	6	58	25.333333	0.879032	0	0	0	0	0.246575	0.19863	0	0	0	0	1	0	false	0	0.25	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
ac66701fa623f9a900363e426640453944b4eaa4	1,114	py	Python	petra_viewer/widgets/batch_progress.py	yamedvedya/data_viewer	c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916	[ "MIT" ]	null	null	null	petra_viewer/widgets/batch_progress.py	yamedvedya/data_viewer	c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916	[ "MIT" ]	null	null	null	petra_viewer/widgets/batch_progress.py	yamedvedya/data_viewer	c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916	[ "MIT" ]	null	null	null	# Created by matveyev at 06.05.2021 from PyQt5 import QtCore, QtWidgets from petra_viewer.gui.batch_ui import Ui_batch # ---------------------------------------------------------------------- class BatchProgress(QtWidgets.QWidget): stop_batch = QtCore.pyqtSignal() # ---------------------------------------...	30.944444	76	0.443447	98	1,114	4.72449	0.479592	0.090713	0.043197	0.060475	0.103672	0	0	0	0	0	0.014054	0.169659	1,114	36	77	30.944444	0.486486	0.346499	0	0	0	0	0	0	0	0	0	1	0.210526	false	0.052632	0.105263	0	0.421053	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	1	0	1	0	0	0	0	3
ac6729f293b2af4b4c8b40274b0a9e23f390dbd2	2,167	py	Python	src/xsd_members/migrations/0005_auto_djfb_to_allauth.py	minyiky/xSACdb	8c407e9a9da196750a66ad53613ad67c8c56e1c3	[ "MIT" ]	2	2017-08-14T14:40:17.000Z	2019-02-07T13:10:23.000Z	src/xsd_members/migrations/0005_auto_djfb_to_allauth.py	minyiky/xSACdb	8c407e9a9da196750a66ad53613ad67c8c56e1c3	[ "MIT" ]	19	2016-02-07T18:02:53.000Z	2019-11-03T17:48:13.000Z	src/xsd_members/migrations/0005_auto_djfb_to_allauth.py	minyiky/xSACdb	8c407e9a9da196750a66ad53613ad67c8c56e1c3	[ "MIT" ]	4	2015-10-19T17:24:35.000Z	2021-05-12T07:30:32.000Z	# -- coding: utf-8 -- from django.db import models, migrations from allauth.socialaccount.models import SocialAccount def copy_fb_data(apps, schema_editor): model = apps.get_model('xsd_members', 'MemberProfile') db_alias = schema_editor.connection.alias objects = model.objects.using(db_alias).all() ...	27.782051	58	0.552377	189	2,167	6.084656	0.37037	0.20087	0.248696	0.286957	0.489565	0.489565	0.326087	0	0	0	0.011989	0.345639	2,167	77	59	28.142857	0.799013	0.009691	0.485294	0	0	0.159515	0.010728	0	0	0	0	1	0.014706	false	0	0.029412	0	0.088235	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
ac6da854a5c70eca78a1ec0e02d5e686614664c1	225	py	Python	Files_WebScraping/Task8.py	VikashK21/Coders_Life	89af8bba2163d6331b760de33786caa49892da33	[ "MIT" ]	1	2021-11-30T10:30:16.000Z	2021-11-30T10:30:16.000Z	Files_WebScraping/Task8.py	VikashK21/WebScraping	560f316a787c4c3e8b51fc83a23acbc80cdb8fe5	[ "MIT" ]	null	null	null	Files_WebScraping/Task8.py	VikashK21/WebScraping	560f316a787c4c3e8b51fc83a23acbc80cdb8fe5	[ "MIT" ]	null	null	null	# This question is just about the json files that is also known as cache files. # Which we have already used in the previous tasks, the json files. # In the json file we can easily access the data without any network issue.	45	79	0.768889	41	225	4.219512	0.731707	0.121387	0.138728	0	0	0	0	0	0	0	0	0.2	225	4	80	56.25	0.961111	0.964444	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	0	0	0	0	1	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
ac78faaba19c9f97aad2d30987c5c2da9d0d658b	108	py	Python	factorial.py	varunverma760/Python	c55ad3aeb4c752c2b0a9e665631f1f7ead0b3390	[ "MIT" ]	null	null	null	factorial.py	varunverma760/Python	c55ad3aeb4c752c2b0a9e665631f1f7ead0b3390	[ "MIT" ]	null	null	null	factorial.py	varunverma760/Python	c55ad3aeb4c752c2b0a9e665631f1f7ead0b3390	[ "MIT" ]	null	null	null	result =1 i=1 while i<=100: result=result*i i=i+1 pass print("the factorial is {}".format(result))	15.428571	44	0.638889	20	108	3.45	0.55	0.057971	0	0	0	0	0	0	0	0	0.068966	0.194444	108	7	44	15.428571	0.724138	0	0	0	0	0.184466	0	0	0	0	0	1	0	false	0.142857	0	0	0	0.142857	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	3
3bb500d29f1b13b4e466a76752e72eeea0bd74be	223	py	Python	src/wsgi.py	Shroud007/cappa	f820423374fa7914e66e4e16ad275fd53621c43c	[ "MIT" ]	null	null	null	src/wsgi.py	Shroud007/cappa	f820423374fa7914e66e4e16ad275fd53621c43c	[ "MIT" ]	null	null	null	src/wsgi.py	Shroud007/cappa	f820423374fa7914e66e4e16ad275fd53621c43c	[ "MIT" ]	null	null	null	import os import sys os.environ.setdefault("DJANGO_SETTINGS_MODULE", "src.settings") sys.path[0:0] = [os.path.expanduser("~/django")] from django.core.wsgi import get_wsgi_application application = get_wsgi_application()	24.777778	63	0.784753	32	223	5.28125	0.53125	0.08284	0.213018	0	0	0	0	0	0	0	0.009756	0.080717	223	8	64	27.875	0.814634	0	0	0	0	0.189189	0.099099	0	0	0	0	1	0	false	0	0.5	0	0.5	0	0	0	0	null	0	1	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
3bbc1b0e8e151488a8053085791b77987f8188dc	175,375	py	Python	models_all_solvable2/rsyn0830m02h.py	grossmann-group/pyomo-MINLP-benchmarking	714f0a0dffd61675649a805683c0627af6b4929e	[ "MIT" ]	7	2019-05-08T19:14:34.000Z	2021-12-24T00:00:40.000Z	models_all_solvable2/rsyn0830m02h.py	grossmann-group/pyomo-MINLP-benchmarking	714f0a0dffd61675649a805683c0627af6b4929e	[ "MIT" ]	null	null	null	models_all_solvable2/rsyn0830m02h.py	grossmann-group/pyomo-MINLP-benchmarking	714f0a0dffd61675649a805683c0627af6b4929e	[ "MIT" ]	2	2020-05-21T22:15:51.000Z	2020-06-02T23:02:08.000Z	# MINLP written by GAMS Convert at 05/15/20 00:51:16 # # Equation counts # Total E G L N X C B # 1795 749 86 960 0 0 0 0 # # Variable counts # x b i s1s s2s sc ...	36.460499	120	0.648964	31,430	175,375	3.621126	0.10035	0.047781	0.215751	0.162373	0.559133	0.470355	0.429867	0.422047	0.403349	0.001968	0.228884	0.145152	175,375	4,809	121	36.468081	0.530273	0.003877	0	0	0	0	0	0	0	0	0	1	0	false	0	0.000334	0	0.000334	0	0	0	0	null	0	1	1	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
3be1b2164010153e4fdee605230ce759c3718059	112	py	Python	archive/deep-learning/test-tensorflow-gpu.py	ajrichards/bayesian-examples	fbd87c6f1613ea516408e9ebc3c9eff1248246e4	[ "BSD-3-Clause" ]	2	2016-01-27T08:51:23.000Z	2017-04-17T02:21:34.000Z	archive/deep-learning/test-tensorflow-gpu.py	ajrichards/notebook	fbd87c6f1613ea516408e9ebc3c9eff1248246e4	[ "BSD-3-Clause" ]	null	null	null	archive/deep-learning/test-tensorflow-gpu.py	ajrichards/notebook	fbd87c6f1613ea516408e9ebc3c9eff1248246e4	[ "BSD-3-Clause" ]	null	null	null	import tensorflow as tf tf.test.is_gpu_available( cuda_only=False, min_cuda_compute_capability=None )	14	36	0.776786	17	112	4.764706	0.882353	0	0	0	0	0	0	0	0	0	0	0.160714	112	7	37	16	0.861702	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.2	0	0.2	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
3bfc6e2ca836f89035445c3b699f7a84051caa62	4,760	py	Python	dev/Gems/CloudGemWebCommunicator/AWS/common-code/aws_iot_device_sdk_python/AWSIoTPythonSDK/exception/AWSIoTExceptions.py	jeikabu/lumberyard	07228c605ce16cbf5aaa209a94a3cb9d6c1a4115	[ "AML" ]	8	2019-10-07T16:33:47.000Z	2020-12-07T03:59:58.000Z	dev/Gems/CloudGemWebCommunicator/AWS/common-code/aws_iot_device_sdk_python/AWSIoTPythonSDK/exception/AWSIoTExceptions.py	jeikabu/lumberyard	07228c605ce16cbf5aaa209a94a3cb9d6c1a4115	[ "AML" ]	null	null	null	dev/Gems/CloudGemWebCommunicator/AWS/common-code/aws_iot_device_sdk_python/AWSIoTPythonSDK/exception/AWSIoTExceptions.py	jeikabu/lumberyard	07228c605ce16cbf5aaa209a94a3cb9d6c1a4115	[ "AML" ]	5	2020-08-27T20:44:18.000Z	2021-08-21T22:54:11.000Z	# /* # * Copyright 2010-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. # * # * Licensed under the Apache License, Version 2.0 (the "License"). # * You may not use this file except in compliance with the License. # * A copy of the License is located at # * # * http://aws.amazon.com/apache2.0 # * # * or i...	32.162162	89	0.760504	465	4,760	7.556989	0.301075	0.084519	0.078258	0.179283	0.47325	0.415196	0.293682	0.211725	0	0	0.002997	0.158824	4,760	147	90	32.380952	0.874625	0.143908	0.324675	0	0	0.166708	0.005179	0	0	0	0	1	0.324675	false	0	0.025974	0	0.675325	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	0	3
ce2e7146a4c1f5004c3c25153ec6c3c5bb5e9e80	101	py	Python	django_email_test/__init__.py	morlandi/django-email-test	c59ad3652a08a7e580a6888cd9c0615d20034a1f	[ "BSD-3-Clause" ]	1	2020-10-05T21:01:42.000Z	2020-10-05T21:01:42.000Z	django_email_test/__init__.py	morlandi/django-email-test	c59ad3652a08a7e580a6888cd9c0615d20034a1f	[ "BSD-3-Clause" ]	null	null	null	django_email_test/__init__.py	morlandi/django-email-test	c59ad3652a08a7e580a6888cd9c0615d20034a1f	[ "BSD-3-Clause" ]	1	2020-10-05T21:01:56.000Z	2020-10-05T21:01:56.000Z	VERSION = (0, 0, 5) __version__ = "".join([".".join(map(str, VERSION[0:3])), "".join(VERSION[3:])])	25.25	79	0.554455	15	101	3.466667	0.466667	0.307692	0	0	0	0	0	0	0	0	0.066667	0.108911	101	3	80	33.666667	0.511111	0	0	0	0	0.009901	0	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
ce331d2683df658a6cea5c610e302e81e46f1c00	720	py	Python	provy/more/centos/networking/hosts.py	timgates42/provy	ca3d5e96a2210daf3c1fd4b96e047efff152db14	[ "MIT" ]	15	2015-01-28T15:49:28.000Z	2021-09-02T18:49:46.000Z	provy/more/centos/networking/hosts.py	timgates42/provy	ca3d5e96a2210daf3c1fd4b96e047efff152db14	[ "MIT" ]	null	null	null	provy/more/centos/networking/hosts.py	timgates42/provy	ca3d5e96a2210daf3c1fd4b96e047efff152db14	[ "MIT" ]	3	2016-12-05T07:08:11.000Z	2021-12-26T04:31:05.000Z	#!/usr/bin/python # -- coding: utf-8 -- ''' Roles in this namespace are meant to provide hosts management operations for centos distributions. ''' from provy.more.linux.networking.hosts import HostsRole as Hosts class HostsRole(Hosts): ''' This role provides hosts file management utilities for centos dist...	25.714286	98	0.659722	89	720	5.325843	0.58427	0.056962	0.092827	0.101266	0.122363	0	0	0	0	0	0.012821	0.241667	720	27	99	26.666667	0.855311	0.776389	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	3
ce395ff788e31ac7c9bcfb124ec558832cba32f2	43	py	Python	laserAtomTrap/src/__init__.py	statisdisc/modellingAndSimulation	1458e7b7a527a4835c5a545f5899b6f1e4d80f92	[ "Python-2.0", "OLDAP-2.7" ]	null	null	null	laserAtomTrap/src/__init__.py	statisdisc/modellingAndSimulation	1458e7b7a527a4835c5a545f5899b6f1e4d80f92	[ "Python-2.0", "OLDAP-2.7" ]	null	null	null	laserAtomTrap/src/__init__.py	statisdisc/modellingAndSimulation	1458e7b7a527a4835c5a545f5899b6f1e4d80f92	[ "Python-2.0", "OLDAP-2.7" ]	null	null	null	__all__ = ["objects", "plots", "utilities"]	43	43	0.651163	4	43	6	1	0	0	0	0	0	0	0	0	0	0	0.093023	43	1	43	43	0.615385	0	0	0	0	0.477273	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
cbed4b7641fe0e0241a0ad27502e8caa282600d5	1,016	py	Python	websocket/utils/exceptions.py	shadow-share/websocket	221f523f2973633b14d66b3890a644a0707dd18c	[ "MIT" ]	null	null	null	websocket/utils/exceptions.py	shadow-share/websocket	221f523f2973633b14d66b3890a644a0707dd18c	[ "MIT" ]	null	null	null	websocket/utils/exceptions.py	shadow-share/websocket	221f523f2973633b14d66b3890a644a0707dd18c	[ "MIT" ]	null	null	null	#!/usr/bin/env python # # Copyright (C) 2017 ShadowMan # class FatalError(Exception): pass class FrameHeaderParseError(Exception): pass class ConnectClosed(Exception): pass class RequestError(Exception): pass class LoggerWarning(RuntimeWarning): pass class DeamonError(Exception): pass...	14.724638	65	0.694882	103	1,016	6.660194	0.378641	0.246356	0.28863	0	0	0	0	0	0	0	0.005063	0.222441	1,016	68	66	14.941176	0.863291	0.048228	0.4	0	0	0.044652	0	0	0	0	0	1	0.028571	false	0.4	0	0	0.428571	0	0	0	0	null	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	3
cbfbbdd6eed182449f7e751f423530ebe0292c93	511	py	Python	03-conditionals/check_same_case.py	alvgaona/PC	dc043861a7246c228f40d882b70faa6b9623b05b	[ "MIT" ]	2	2022-03-29T16:40:32.000Z	2022-03-29T16:42:34.000Z	03-conditionals/check_same_case.py	alvgaona/PC	dc043861a7246c228f40d882b70faa6b9623b05b	[ "MIT" ]	null	null	null	03-conditionals/check_same_case.py	alvgaona/PC	dc043861a7246c228f40d882b70faa6b9623b05b	[ "MIT" ]	null	null	null	def is_uppercase(letter: str): return True if 65 <= ord(letter) <= 90 else False def is_lowercase(letter: str): return True if 97 <= ord(letter) <= 122 else False def check_same_case(first: str, second: str) -> bool: if is_uppercase(first) and is_uppercase(second): return True if is_lowerca...	19.653846	54	0.65362	73	511	4.30137	0.356164	0.127389	0.11465	0.121019	0.133758	0	0	0	0	0	0.022843	0.228963	511	25	55	20.44	0.774112	0	0.133333	0	0	0.019569	0	0	0	0	0	1	0.266667	false	0	0	0.133333	0.6	0.066667	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
020f8e24ee36befcbaf28d702ae5ee6e92843f0c	795	py	Python	composer/algorithms/blurpool/__init__.py	jacobfulano/composer	4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8	[ "Apache-2.0" ]	2	2022-03-17T04:48:04.000Z	2022-03-20T09:06:19.000Z	composer/algorithms/blurpool/__init__.py	jacobfulano/composer	4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8	[ "Apache-2.0" ]	null	null	null	composer/algorithms/blurpool/__init__.py	jacobfulano/composer	4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8	[ "Apache-2.0" ]	null	null	null	# Copyright 2021 MosaicML. All Rights Reserved. from composer.algorithms.blurpool.blurpool import BlurPool as BlurPool from composer.algorithms.blurpool.blurpool import BlurPoolHparams as BlurPoolHparams from composer.algorithms.blurpool.blurpool import apply_blurpool as apply_blurpool from composer.algorithms.blurpoo...	44.166667	87	0.838994	98	795	6.622449	0.367347	0.12943	0.237288	0.323575	0.53621	0.53621	0.308166	0	0	0	0.034626	0.091824	795	17	88	46.764706	0.864266	0.056604	0	0	0	0.100267	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
021b5920befafdce3ff24fa801b3d3045663d2fb	1,997	py	Python	mol/wrappers/base.py	cgrambow/mol	47f28a3bfacefe3efb7f9dc8766841980bfc95ac	[ "MIT" ]	null	null	null	mol/wrappers/base.py	cgrambow/mol	47f28a3bfacefe3efb7f9dc8766841980bfc95ac	[ "MIT" ]	null	null	null	mol/wrappers/base.py	cgrambow/mol	47f28a3bfacefe3efb7f9dc8766841980bfc95ac	[ "MIT" ]	null	null	null	from __future__ import annotations from abc import ABC, abstractmethod from collections.abc import Sequence from pathlib import Path from typing import Any, Union import numpy as np class AbstractMol(ABC): """ Base class for pybel.Molecule and rdkit.Chem.Mol wrappers. """ @abstractmethod def __i...	21.706522	87	0.605408	220	1,997	5.418182	0.368182	0.228188	0.158557	0.097315	0	0	0	0	0	0	0.000705	0.289434	1,997	91	88	21.945055	0.839323	0.148222	0.590164	0	0	0	0	0	0	0	0	1	0.262295	false	0.262295	0.098361	0	0.377049	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	0	3
02301d8c35f4ff85398b8ef0076198e0271fad7d	334	py	Python	modules/api/functional_test/live_tests/internal/color_test.py	slandry90/vinyldns	bf3122bdd5058af53561224adb1984e3b9f1f5bc	[ "Apache-2.0" ]	333	2018-07-27T12:58:40.000Z	2022-03-16T23:05:37.000Z	modules/api/functional_test/live_tests/internal/color_test.py	slandry90/vinyldns	bf3122bdd5058af53561224adb1984e3b9f1f5bc	[ "Apache-2.0" ]	1,010	2018-07-27T14:43:14.000Z	2022-03-25T09:29:43.000Z	modules/api/functional_test/live_tests/internal/color_test.py	slandry90/vinyldns	bf3122bdd5058af53561224adb1984e3b9f1f5bc	[ "Apache-2.0" ]	123	2018-07-26T20:06:04.000Z	2022-02-16T17:12:17.000Z	import pytest from hamcrest import * from vinyldns_python import VinylDNSClient def test_color(shared_zone_test_context): """ Tests that the color endpoint works appropriately """ client = shared_zone_test_context.ok_vinyldns_client result = client.color() assert_that(["green", "blue"], has_...	22.266667	56	0.742515	42	334	5.619048	0.642857	0.084746	0.118644	0.177966	0	0	0	0	0	0	0	0.173653	334	14	57	23.857143	0.855072	0.146707	0	0	0	0.033457	0	0	0	0	0.142857	1	0.142857	false	0	0.428571	0	0.571429	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
023da6b06e695952dd5af6728adbc2b2bff73bc2	150	py	Python	commands/ping.py	t1mosha/Helper5TGBot	ce1d958f463b2836e34b3275dd67c3b8936e4d91	[ "MIT" ]	null	null	null	commands/ping.py	t1mosha/Helper5TGBot	ce1d958f463b2836e34b3275dd67c3b8936e4d91	[ "MIT" ]	null	null	null	commands/ping.py	t1mosha/Helper5TGBot	ce1d958f463b2836e34b3275dd67c3b8936e4d91	[ "MIT" ]	null	null	null	from pyrogram import Client, filters @Client.on_message(filters.command('ping', ['!'])) def ping(client, message): message.reply_text(f"Pong!")	21.428571	50	0.713333	20	150	5.25	0.7	0	0	0	0	0	0	0	0	0	0	0.113333	150	6	51	25	0.789474	0	0	0	0	0.066667	0	0	0	0	0	1	0.25	false	0	0.25	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	3
024ce325492f1dccebbda1cd670c5dabe15b61ad	514	py	Python	advertools/__init__.py	amrrs/advertools	c89484d892965cdfa25c6260ac7f2b85ba68aaa8	[ "MIT" ]	null	null	null	advertools/__init__.py	amrrs/advertools	c89484d892965cdfa25c6260ac7f2b85ba68aaa8	[ "MIT" ]	null	null	null	advertools/__init__.py	amrrs/advertools	c89484d892965cdfa25c6260ac7f2b85ba68aaa8	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- """Top-level package for advertools.""" __author__ = """Elias Dabbas""" __email__ = 'eliasdabbas@gmail.com' __version__ = '0.3.0' from advertools.ad_create import ad_create from advertools.ad_from_string import ad_from_string from advertools.extract import extract_mentions, extract_hashtags, ...	32.125	80	0.81323	70	514	5.585714	0.514286	0.250639	0.081841	0	0	0	0	0	0	0	0.008658	0.101167	514	15	81	34.266667	0.837662	0.108949	0	0	0	0.084071	0.04646	0	0	0	0	1	0	false	0	0.7	0	0.7	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
025b417216792358d0b13b37a7a0bc25a3fafbcd	415	py	Python	python practice/day9/solution.py	rezafari/raspberry	e6720780f3c65ee1809040fc538f793fe44f0111	[ "MIT" ]	19	2017-09-26T04:37:55.000Z	2021-12-15T05:39:57.000Z	python practice/day9/solution.py	rezafari/raspberry	e6720780f3c65ee1809040fc538f793fe44f0111	[ "MIT" ]	44	2017-11-22T04:56:26.000Z	2018-03-17T14:30:00.000Z	python practice/day9/solution.py	rezafari/raspberry	e6720780f3c65ee1809040fc538f793fe44f0111	[ "MIT" ]	21	2017-09-23T05:25:59.000Z	2021-05-31T10:24:49.000Z	########################################################### # # # Solving factorial problem with recursive function # # # ########################################################### def factorial(n): ...	37.727273	59	0.260241	23	415	4.695652	0.652174	0.185185	0	0	0	0	0	0	0	0	0.012	0.39759	415	11	60	37.727273	0.42	0.118072	0	0	0	0	0	0	0	0	0	1	0.2	false	0	0	0	0.6	0.2	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
026c95389ab3f93c3a2d284cd47cc13221cdd8ce	4,150	py	Python	hms/models.py	kasparov-creat/hms-api	7cf7da5da59a8bebfd4629fd65ac159ab19319ec	[ "MIT" ]	null	null	null	hms/models.py	kasparov-creat/hms-api	7cf7da5da59a8bebfd4629fd65ac159ab19319ec	[ "MIT" ]	null	null	null	hms/models.py	kasparov-creat/hms-api	7cf7da5da59a8bebfd4629fd65ac159ab19319ec	[ "MIT" ]	null	null	null	from django.db import models from django.contrib.auth.models import User from django.db.models.signals import post_save from django.dispatch import receiver departments=[('Cardiologist','Cardiologist'), ('Dermatologist','Dermatologist'), ('Emergency Medicine Specialist','Emergency Medicine Specialist'), ('Allergist/I...	31.923077	123	0.701205	483	4,150	5.855072	0.202899	0.035007	0.063649	0.084866	0.613508	0.543847	0.538897	0.428571	0.428571	0.428571	0.008043	0.191084	4,150	130	124	31.923077	0.834376	0	0.49	0	0	0.092267	0.040713	0	0	0	0	1	0.23	false	0	0.04	0.12	0.66	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
027828d262490d6b9e60f7d2eac8c846dc4b067f	1,404	py	Python	formalarg/extension.py	Amande-WP5/formalarg	e0849ae6955eddec9d0f8e69b1d07f8d33798738	[ "MIT" ]	null	null	null	formalarg/extension.py	Amande-WP5/formalarg	e0849ae6955eddec9d0f8e69b1d07f8d33798738	[ "MIT" ]	null	null	null	formalarg/extension.py	Amande-WP5/formalarg	e0849ae6955eddec9d0f8e69b1d07f8d33798738	[ "MIT" ]	null	null	null	from . import Relation class Extension: def __init__(self, arguments): self.arguments = arguments def add_arguments(self, arguments): self.arguments += arguments def is_conflicting(self, relations): return any(rel for rel in relations if rel.relfrom in self.arguments and rel.re...	36.947368	113	0.674501	199	1,404	4.59799	0.180905	0.184699	0.114754	0.048087	0.634973	0.462295	0.338798	0.238251	0.238251	0.238251	0	0.254986	1,404	38	114	36.947368	0.874761	0	0.206897	0	0	0.001423	0	0	0	0	0	1	0.275862	false	0	0.034483	0.103448	0.689655	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
65efe2ad29f2fa8443d34f5b8553d61704e499e9	20,565	py	Python	src/thsData/constants_10jqka.py	EasyStock/Bull	388537b389646c3c315ec51de9c3856012b1f644	[ "Apache-2.0" ]	null	null	null	src/thsData/constants_10jqka.py	EasyStock/Bull	388537b389646c3c315ec51de9c3856012b1f644	[ "Apache-2.0" ]	null	null	null	src/thsData/constants_10jqka.py	EasyStock/Bull	388537b389646c3c315ec51de9c3856012b1f644	[ "Apache-2.0" ]	null	null	null	# coding=utf-8 ''' Created on 2017年11月25日 @author: jianpinh ''' eng_10jqka_CookieList = [ 'AcL0X6qrL2k4wjM1rx64KE2PFcMhk8ameJe60Qzb7jXgX2x39CMWvUgnCuXc', 'AQI0H2rr7yl4gvABCen4aA1PVQNh0wayuNf6B0wbLnUgn6y3NGNW_YhnSiUc', 'AR0rznlCGEhb2_-QOepvqU4GKvISOlGMW261YN_iWXSjljNmp4phXOu-xTlv', 'AePVMIOgvj4xWXH-c8aJ...	66.33871	67	0.868563	818	20,565	21.513447	0.9022	0.001534	0	0	0	0	0	0	0	0	0.145625	0.074058	20,565	309	68	66.553398	0.778542	0.002626	0	0	0	0.880847	0.880847	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	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	3
5a03d2f84e8a24c78629df8d2ec95c21181260fc	35,517	py	Python	tfrt/rt_lib.py	henrysky/simple_tf_raytracing	cba18dd544436f1ee44f1e9d064fd3e9e02e7dcb	[ "MIT" ]	null	null	null	tfrt/rt_lib.py	henrysky/simple_tf_raytracing	cba18dd544436f1ee44f1e9d064fd3e9e02e7dcb	[ "MIT" ]	null	null	null	tfrt/rt_lib.py	henrysky/simple_tf_raytracing	cba18dd544436f1ee44f1e9d064fd3e9e02e7dcb	[ "MIT" ]	null	null	null	from abc import ABC, abstractmethod from copy import deepcopy import numpy as np import tensorflow as tf # source: http://geomalgorithms.com/a06-_intersect-2.html # source: https://www.erikrotteveel.com/python/three-dimensional-ray-tracing-in-python/ gpu_phy_devices = tf.config.list_physical_devices('GPU') try: f...	44.507519	179	0.603795	4,958	35,517	4.156111	0.068374	0.040085	0.018635	0.023488	0.767446	0.745802	0.706202	0.688974	0.673639	0.66568	0.025535	0.277782	35,517	797	180	44.563363	0.777786	0.157418	0.55144	0	0	0.002184	0	0	0	0	0.016461	1	0.082305	false	0.006173	0.00823	0.014403	0.168724	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
5a0d1d0ca08a8167c7712b25fedc04a61eec3276	475	py	Python	code/Python Crash Course A Hands-On/PART I-BASICS/Chapter 2/apostrophe.py	GaryWonggg/Paython-Learning	8636358a96caf062cf68a43826810a6cf5ab2496	[ "MIT" ]	null	null	null	code/Python Crash Course A Hands-On/PART I-BASICS/Chapter 2/apostrophe.py	GaryWonggg/Paython-Learning	8636358a96caf062cf68a43826810a6cf5ab2496	[ "MIT" ]	1	2021-01-02T15:41:19.000Z	2021-01-02T15:41:19.000Z	code/Python Crash Course A Hands-On/PART I-BASICS/Chapter 2/apostrophe.py	GaryWonggg/Paython-Learning	8636358a96caf062cf68a43826810a6cf5ab2496	[ "MIT" ]	null	null	null	""" Avoiding Syntax Errors with Strings Here’s how to use single and double quotes correctly. """ message = "One of Python's strengths is its diverse community." print(message) """ split line for each point """ print("------------------------------split line------------------------------") ''' However, if you u...	19.791667	84	0.629474	62	475	4.822581	0.66129	0.060201	0.080268	0.120401	0.408027	0.408027	0.408027	0.408027	0.408027	0.408027	0	0.153684	475	23	85	20.652174	0.743781	0.357895	0	0	0	0.715976	0.408284	0	0	0	0	1	0	false	0	0	0	0	0.666667	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	1	3
5a14a3edf9f0fd31e76bdce877f828e9a53d21cd	2,200	py	Python	CodeWars/ip validator.py	SabariVig/python-programs	682f11df8157d4a070c294eded341f86845e38a8	[ "MIT" ]	null	null	null	CodeWars/ip validator.py	SabariVig/python-programs	682f11df8157d4a070c294eded341f86845e38a8	[ "MIT" ]	1	2018-07-11T10:49:29.000Z	2018-07-11T10:51:25.000Z	CodeWars/ip validator.py	SabariVig/python-programs	682f11df8157d4a070c294eded341f86845e38a8	[ "MIT" ]	null	null	null	################## CODE WARS KATA ################## #KYU LEVEL : 6 #KATA TITLE :IP Validation #KATA LINK : https://www.codewars.com/kata/ip-validation/train/python ##################################################### import re def is_valid_IP(ip): """Validates IPv4 addresses. """ qq=ip.split(".") if...	35.483871	82	0.431364	320	2,200	2.884375	0.328125	0.098592	0.126761	0.182015	0.345612	0.239437	0.212351	0.153846	0.126761	0.126761	0.177258	0.320455	2,200	62	83	35.483871	0.440134	0.075909	0.098039	0	0.156863	0.672986	0.124276	0	0.015271	0	0	1	0.019608	false	0	0.019608	0	0.058824	0.235294	0	0	0	null	0	0	1	0	0	0	0	0	0	1	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	3
5a150514209a5eb375f78303b39644f7f641d52a	3,838	py	Python	tests/test_filename.py	alepuzio/listfiles	cddc329cf773016a4703946c338a6e16d81380f5	[ "MIT" ]	null	null	null	tests/test_filename.py	alepuzio/listfiles	cddc329cf773016a4703946c338a6e16d81380f5	[ "MIT" ]	null	null	null	tests/test_filename.py	alepuzio/listfiles	cddc329cf773016a4703946c338a6e16d81380f5	[ "MIT" ]	1	2021-06-13T12:44:31.000Z	2021-06-13T12:44:31.000Z	import os import unittest from os.path import splitext from list_files.physical_data import PhysicalData from list_files.physical_data import PhysicalDataFake class Filename: """ class about the filename of a file """ def __init__(self, new_physical): self.physical = new_physical def...	32.803419	137	0.614122	433	3,838	5.277136	0.221709	0.119037	0.037199	0.024508	0.374617	0.315098	0.203063	0.177681	0.154048	0.154048	0.00762	0.247785	3,838	116	138	33.086207	0.783859	0.180302	0.202899	0	0	0.146592	0.052614	0	0	0.008621	0.057971	1	0.26087	false	0	0.072464	0.101449	0.536232	0.028986	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
5a3c03f646432e8b46bd427ad6fa75d3df61de5e	368	py	Python	core/migrations/0028_auto_20200202_1832.py	baxtea/pipeline	0cbdd4b3ee6d05611e1d3ed5a4936f597182e963	[ "MIT" ]	18	2018-11-14T21:52:33.000Z	2022-03-23T08:10:54.000Z	core/migrations/0028_auto_20200202_1832.py	baxtea/pipeline	0cbdd4b3ee6d05611e1d3ed5a4936f597182e963	[ "MIT" ]	83	2018-09-21T16:08:51.000Z	2022-03-27T20:31:05.000Z	core/migrations/0028_auto_20200202_1832.py	baxtea/pipeline	0cbdd4b3ee6d05611e1d3ed5a4936f597182e963	[ "MIT" ]	6	2019-09-27T20:50:54.000Z	2020-06-12T14:07:38.000Z	# Generated by Django 2.2.9 on 2020-02-02 18:32 from django.db import migrations class Migration(migrations.Migration): dependencies = [("core", "0027_auto_20200202_1822")] operations = [ migrations.RemoveField(model_name="office", name="req_nominations"), migrations.RemoveField(model_name=...	26.285714	83	0.714674	43	368	5.976744	0.72093	0.163424	0.202335	0.233463	0	0	0	0	0	0	0.100324	0.160326	368	13	84	28.307692	0.731392	0.122283	0	1	0	0.23676	0.071651	0	0	0	0	1	0	false	0	0.142857	0	0.571429	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	3
5a493e16c7fbe9535fb32817d79565eb88dce21c	653	py	Python	gpu_scraper/web/base.py	m-gentil/gpu-scraper	0cc5061fa83fff491a0092baf81ee7f749dbb54e	[ "MIT" ]	2	2021-03-26T14:04:10.000Z	2021-04-28T07:56:49.000Z	gpu_scraper/web/base.py	m-gentil/gpu-scraper	0cc5061fa83fff491a0092baf81ee7f749dbb54e	[ "MIT" ]	null	null	null	gpu_scraper/web/base.py	m-gentil/gpu-scraper	0cc5061fa83fff491a0092baf81ee7f749dbb54e	[ "MIT" ]	null	null	null	import logging from abc import ABC, abstractmethod from tenacity import after_log, retry, wait_exponential from gpu_scraper.product import Product _LOGGER = logging.getLogger(__name__) class ProductProvider(ABC): @property def name(self) -> str: return self.__class__.__name__ @abstractmethod ...	25.115385	75	0.709035	79	653	5.531646	0.468354	0.08238	0.1373	0.10984	0.155606	0.155606	0	0	0	0	0.007663	0.200613	653	25	76	26.12	0.829502	0.038285	0	0	0	0	0	0	0	0	0	1	0.166667	false	0.055556	0.222222	0.111111	0.555556	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	1	0	3
5a5268d5ca9c606754a79dd145ba73f2d4400164	297	py	Python	data/serializer.py	DavidWz0403/Challange	a9c9051ae92e80c6c7ed849fa968a54a7949bc35	[ "MIT" ]	null	null	null	data/serializer.py	DavidWz0403/Challange	a9c9051ae92e80c6c7ed849fa968a54a7949bc35	[ "MIT" ]	null	null	null	data/serializer.py	DavidWz0403/Challange	a9c9051ae92e80c6c7ed849fa968a54a7949bc35	[ "MIT" ]	null	null	null	from rest_framework import serializers from .models import Data class DataSerializer(serializers.ModelSerializer): class Meta: model = Data fields = ['inputName', 'inputAnswer1', 'inputAnswer2', 'inputAnswer3', 'inputAnswer4', 'inputAnswer5', 'inputAnswer6']	37.125	78	0.690236	25	297	8.16	0.8	0	0	0	0	0	0	0	0	0	0.025532	0.208754	297	8	79	37.125	0.842553	0	0	0	0	0.271812	0	0	0	0	0	1	0	false	0	0.285714	0	0.571429	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3

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