Split (1)

train · 460k rows

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d5b50305dfb42f7679bb7818ab4cbe372e498363	215	py	Python	src/ControlTasks/point_tracker.py	CornellDataScience/self-driving-car	449044840abdeed9f547a16cd192950e23ba189c	[ "MIT" ]	3	2021-09-29T21:15:25.000Z	2021-11-11T20:57:07.000Z	src/ControlTasks/point_tracker.py	CornellDataScience/self-driving-car	449044840abdeed9f547a16cd192950e23ba189c	[ "MIT" ]	44	2021-09-28T05:38:43.000Z	2022-03-31T21:29:48.000Z	src/ControlTasks/point_tracker.py	CornellDataScience/self-driving-car	449044840abdeed9f547a16cd192950e23ba189c	[ "MIT" ]	null	null	null	from .control_task_base import ControlTaskBase class PointTracker(ControlTaskBase): def setup(self): pass def default(self): pass def execute(self): print("Tracking points.")	16.538462	46	0.655814	23	215	6.043478	0.73913	0.115108	0.158273	0	0	0	0	0	0	0	0	0.260465	215	12	47	17.916667	0.874214	0	0.25	0	0	0.074419	0	0	0	0	0	1	0.375	false	0.25	0.125	0	0.625	0.125	1	0	0	null	0	0	0	0	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	4
d5b93a7962afd3f45af3a78ca5a6fc4a5b11424b	97	py	Python	filemanager/apps.py	dev-dpoudel/healthmap	faa6b26b98ec18379ef2757f854d856fd7a9dfc1	[ "MIT" ]	1	2021-05-25T02:18:46.000Z	2021-05-25T02:18:46.000Z	filemanager/apps.py	dev-dpoudel/healthmap	faa6b26b98ec18379ef2757f854d856fd7a9dfc1	[ "MIT" ]	null	null	null	filemanager/apps.py	dev-dpoudel/healthmap	faa6b26b98ec18379ef2757f854d856fd7a9dfc1	[ "MIT" ]	null	null	null	from django.apps import AppConfig class FilemanagerConfig(AppConfig): name = 'filemanager'	16.166667	35	0.773196	10	97	7.5	0.9	0	0	0	0	0	0	0	0	0	0	0.154639	97	5	36	19.4	0.914634	0	0	0	0	0.113402	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	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
d5bbb64a7e62f9f0f769b65a65a54d9142d86e53	186	py	Python	odk_viewer/models/__init__.py	Ecotrust/formhub	05033bb5aa152cc2cbcd7382c2c999d82b2c3276	[ "BSD-2-Clause" ]	123	2015-01-08T09:21:05.000Z	2021-11-14T19:45:23.000Z	odk_viewer/models/__init__.py	Ecotrust/formhub	05033bb5aa152cc2cbcd7382c2c999d82b2c3276	[ "BSD-2-Clause" ]	16	2015-02-13T16:56:42.000Z	2021-02-20T23:58:43.000Z	odk_viewer/models/__init__.py	Ecotrust/formhub	05033bb5aa152cc2cbcd7382c2c999d82b2c3276	[ "BSD-2-Clause" ]	110	2015-01-19T14:34:06.000Z	2021-02-01T14:55:11.000Z	from parsed_instance import ParsedInstance from data_dictionary import DataDictionary from instance_modification import InstanceModification from export import Export import common_tags	31	54	0.903226	22	186	7.454545	0.590909	0.146341	0	0	0	0	0	0	0	0	0	0.096774	186	5	55	37.2	0.97619	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
d5ca12fa67ebbc09b490f78a77d7fc0ee53665dd	64	py	Python	bridge_adaptivity/config/__init__.py	eng-alecrim/bridge-adaptivity	8644e512272006eaeedd0928ac743fd6295bd731	[ "BSD-3-Clause" ]	32	2017-06-01T16:31:50.000Z	2021-11-19T03:37:00.000Z	bridge_adaptivity/config/__init__.py	eng-alecrim/bridge-adaptivity	8644e512272006eaeedd0928ac743fd6295bd731	[ "BSD-3-Clause" ]	44	2017-08-04T13:58:12.000Z	2021-06-09T17:25:59.000Z	bridge_adaptivity/config/__init__.py	eng-alecrim/bridge-adaptivity	8644e512272006eaeedd0928ac743fd6295bd731	[ "BSD-3-Clause" ]	17	2017-12-08T07:24:28.000Z	2022-03-14T16:56:10.000Z	from config.celery import celery_app __all__ = ['celery_app']	12.8	36	0.765625	9	64	4.777778	0.666667	0.418605	0	0	0	0	0	0	0	0	0	0.140625	64	4	37	16	0.781818	0	0	0	0	0.15625	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	4
d5ef0610694d0769024a1b525e679faa36985837	92	py	Python	moatools_project/tools_app/apps.py	aydjay/moatools	37cb2d6fc3fa03ef86e410c501a70dd67e09cef4	[ "Apache-2.0" ]	null	null	null	moatools_project/tools_app/apps.py	aydjay/moatools	37cb2d6fc3fa03ef86e410c501a70dd67e09cef4	[ "Apache-2.0" ]	null	null	null	moatools_project/tools_app/apps.py	aydjay/moatools	37cb2d6fc3fa03ef86e410c501a70dd67e09cef4	[ "Apache-2.0" ]	null	null	null	from django.apps import AppConfig class ToolsAppConfig(AppConfig): name = 'tools_app'	15.333333	33	0.76087	11	92	6.272727	0.909091	0	0	0	0	0	0	0	0	0	0	0.163043	92	5	34	18.4	0.896104	0	0	0	0	0.097826	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	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
d5fb19b369328f6100956c47ddcf1247f4ca53d3	133	py	Python	python/Experiment_02.py	tallamjr/mbms	6763faa870d1a16f272b3eade70b433ed3df0e51	[ "MIT" ]	18	2018-06-07T07:11:59.000Z	2022-02-28T20:08:23.000Z	python/Experiment_02.py	tallamjr/mbms	6763faa870d1a16f272b3eade70b433ed3df0e51	[ "MIT" ]	1	2020-05-20T16:24:24.000Z	2020-05-21T09:03:24.000Z	python/Experiment_02.py	tallamjr/mbms	6763faa870d1a16f272b3eade70b433ed3df0e51	[ "MIT" ]	8	2019-04-10T16:04:11.000Z	2022-01-08T20:39:15.000Z	from microbit import * import speech while True: if button_a.was_pressed(): speech.say("Mad Scientists love micro bits")	22.166667	52	0.714286	19	133	4.894737	0.894737	0	0	0	0	0	0	0	0	0	0	0.203008	133	6	52	22.166667	0.877358	0	0	0	0	0.223881	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
914676e6ecb0166d2e603c2b5350ecd114b561f9	145	py	Python	exe022-analisadorTexto.py	carlosbandelli/Exercicios_em_Python	2cd5bd837fdc51932f9605db32366ad0e3871d87	[ "MIT" ]	null	null	null	exe022-analisadorTexto.py	carlosbandelli/Exercicios_em_Python	2cd5bd837fdc51932f9605db32366ad0e3871d87	[ "MIT" ]	null	null	null	exe022-analisadorTexto.py	carlosbandelli/Exercicios_em_Python	2cd5bd837fdc51932f9605db32366ad0e3871d87	[ "MIT" ]	null	null	null	nome = str(input('Digite seu nome : ').strip()) print(nome.upper()) print(nome.lower()) print(len(nome) - nome.count(' ')) print(nome.find(' '))	24.166667	47	0.634483	21	145	4.380952	0.571429	0.293478	0	0	0	0	0	0	0	0	0	0.103448	145	5	48	29	0.707692	0	0	0	0	0.137931	0	0	0	0	0	1	0	false	0	0	0	0	0.8	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	4
e6709706c584594d6f7679be94be18e8c08edc1b	1,151	py	Python	quiz4.py	JoelEnrique15/uip-iiiq2016-prog3	6cfcade80599fdbd4505cd4f0a5c194c2cd244b5	[ "MIT" ]	null	null	null	quiz4.py	JoelEnrique15/uip-iiiq2016-prog3	6cfcade80599fdbd4505cd4f0a5c194c2cd244b5	[ "MIT" ]	null	null	null	quiz4.py	JoelEnrique15/uip-iiiq2016-prog3	6cfcade80599fdbd4505cd4f0a5c194c2cd244b5	[ "MIT" ]	null	null	null	try : continuar = 's' while continuar =='s': x= float(input("Introduce la temperatura:")) if x >= 37.5: archivo =open('temp.dat', 'a') archivo.write(str(x)+ " fiebre\n") print("tienes una temperatura de " + str(x) + "grados"+ "(tienes fiebre)") continuar =(input("para continuar presione s: ")) if continuar != 's': print("adios") elif x<=30 and x>5: archivo = open('temp.dat', 'a') archivo.write(str(x) + " estas enfermo\n") print("tienes una temperatura de " + str(x) + "grados"+ "(estas enfermo)") continuar =(input("para continuar presione s: ")) if continuar != 's': print("adios") elif x<= 5: archivo = open('temp.dat', 'a') archivo.write(str(x) + " tas frito x.x\n") print("tienes una temperatura de " + str(x) + "grados"+"(tas frito)") continuar =(input("para continuar presione s: ")) if continuar != 's': print("adios") except ValueError: print("valor invalido")	33.852941	86	0.496959	130	1,151	4.4	0.315385	0.041958	0.062937	0.083916	0.711538	0.711538	0.711538	0.711538	0.711538	0.512238	0.009259	0.34318	1,151	33	87	34.878788	0.747355	0	0.444444	0	0	0.3	0	0	0	0	0	1	0	false	0	0	0	0	0.259259	0	0	0	null	0	0	0	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
e67beaca945f14b09fefc59887c202bdcb960769	101	py	Python	bot/farm/__main__.py	esemi/vigilant-chainsaw	88631e75594e2f0356d1b10679b829c6a9bf60bf	[ "Apache-2.0" ]	1	2021-10-02T21:05:01.000Z	2021-10-02T21:05:01.000Z	bot/farm/__main__.py	esemi/vigilant-chainsaw	88631e75594e2f0356d1b10679b829c6a9bf60bf	[ "Apache-2.0" ]	null	null	null	bot/farm/__main__.py	esemi/vigilant-chainsaw	88631e75594e2f0356d1b10679b829c6a9bf60bf	[ "Apache-2.0" ]	1	2021-12-15T21:16:21.000Z	2021-12-15T21:16:21.000Z	"""Albion farming bot.""" from bot.farm.farm import runner if __name__ == '__main__': runner()	14.428571	32	0.663366	13	101	4.538462	0.769231	0	0	0	0	0	0	0	0	0	0	0.178218	101	6	33	16.833333	0.710843	0.188119	0	0	0	0.105263	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
e68698f0a79a39e8ed4ed4f68ca23e845fd0860f	120	py	Python	src/lesson_concurrency_with_processes_threads_and_coroutines/threading_rlock.py	jasonwee/asus-rt-n14uhp-mrtg	4fa96c3406e32ea6631ce447db6d19d70b2cd061	[ "Apache-2.0" ]	3	2018-08-14T09:33:52.000Z	2022-03-21T12:31:58.000Z	src/lesson_concurrency_with_processes_threads_and_coroutines/threading_rlock.py	jasonwee/asus-rt-n14uhp-mrtg	4fa96c3406e32ea6631ce447db6d19d70b2cd061	[ "Apache-2.0" ]	null	null	null	src/lesson_concurrency_with_processes_threads_and_coroutines/threading_rlock.py	jasonwee/asus-rt-n14uhp-mrtg	4fa96c3406e32ea6631ce447db6d19d70b2cd061	[ "Apache-2.0" ]	null	null	null	import threading lock = threading.RLock() print('First try :', lock.acquire()) print('Second try:', lock.acquire(0))	15	37	0.691667	16	120	5.1875	0.625	0.168675	0.337349	0	0	0	0	0	0	0	0.009524	0.125	120	7	38	17.142857	0.780952	0	0	0	0	0.184874	0	0	0	0	0	1	0	false	0	0.25	0	0.25	0.5	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	4
e69e15cf878d2504fe7ac72ee3c8db501633a189	133	py	Python	src/main/__main__.py	dennisschroeder/jetson-detectify	4a6800ae5aefa1fb9167e2fd4743015b7d751b09	[ "MIT" ]	1	2021-02-16T08:46:58.000Z	2021-02-16T08:46:58.000Z	src/main/__main__.py	dennisschroeder/jetson-detectify	4a6800ae5aefa1fb9167e2fd4743015b7d751b09	[ "MIT" ]	null	null	null	src/main/__main__.py	dennisschroeder/jetson-detectify	4a6800ae5aefa1fb9167e2fd4743015b7d751b09	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- """ main.__main__: executed when main directory is called as script.""" from application import cli cli()	16.625	71	0.676692	18	133	4.777778	0.833333	0	0	0	0	0	0	0	0	0	0.009091	0.172932	133	7	72	19	0.772727	0.654135	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
e6bd2960c165a5f19fc7d33fc07833c7f32775a2	94	py	Python	cas_server/apps.py	zhongshangwu/django-cas	8485e5bdadba45439863a884c2053c50165cda51	[ "MIT" ]	1	2018-07-14T03:53:22.000Z	2018-07-14T03:53:22.000Z	cas_server/apps.py	zhongshangwu/django-cas	8485e5bdadba45439863a884c2053c50165cda51	[ "MIT" ]	null	null	null	cas_server/apps.py	zhongshangwu/django-cas	8485e5bdadba45439863a884c2053c50165cda51	[ "MIT" ]	null	null	null	from django.apps import AppConfig class CASServerConfig(AppConfig): name = 'cas_server'	15.666667	33	0.765957	11	94	6.454545	0.909091	0	0	0	0	0	0	0	0	0	0	0.159574	94	5	34	18.8	0.898734	0	0	0	0	0.106383	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	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
e6d09793e92a58d6496ee2ccc4e28cf9a4531cc5	91	py	Python	test/cases/try_finally.py	nya3jp/end	c001590604e50ab78402420eba4f26ba3d0ed406	[ "Apache-2.0" ]	9	2016-12-08T15:15:31.000Z	2019-07-11T21:55:42.000Z	test/cases/try_finally.py	nya3jp/end	c001590604e50ab78402420eba4f26ba3d0ed406	[ "Apache-2.0" ]	2	2016-10-30T14:53:32.000Z	2018-04-09T12:41:05.000Z	test/cases/try_finally.py	nya3jp/end	c001590604e50ab78402420eba4f26ba3d0ed406	[ "Apache-2.0" ]	2	2017-03-20T02:41:00.000Z	2020-03-16T06:51:58.000Z	import end try: pass finally: if True: pass # end is missing here end	9.1	25	0.571429	13	91	4	0.769231	0	0	0	0	0	0	0	0	0	0	0.384615	91	9	26	10.111111	0.928571	0.208791	0.285714	0	0	0	0	0	0	0	0	1	0	true	0.285714	0.142857	0	0.142857	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	4
e6e3a81065afbe4087956b147f9e4698759dfc25	50	py	Python	src/ways/base/__init__.py	ColinKennedy/ways	1eb44e4aa5e35fb839212cd8cb1c59c714ba10d3	[ "MIT" ]	2	2019-11-10T18:35:38.000Z	2020-05-12T10:37:42.000Z	src/ways/base/__init__.py	ColinKennedy/ways	1eb44e4aa5e35fb839212cd8cb1c59c714ba10d3	[ "MIT" ]	5	2017-11-27T18:05:25.000Z	2021-06-01T21:57:48.000Z	src/ways/base/__init__.py	ColinKennedy/ways	1eb44e4aa5e35fb839212cd8cb1c59c714ba10d3	[ "MIT" ]	1	2017-11-27T17:54:53.000Z	2017-11-27T17:54:53.000Z	'''The main modules that support the Ways API.'''	25	49	0.7	8	50	4.375	0.875	0	0	0	0	0	0	0	0	0	0	0.16	50	1	50	50	0.833333	0.86	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
fc21f311c2c7c51c9827119277bb7c8be0adb54c	70	py	Python	tests/_testsite/dummyapp01/__init__.py	bastiedotorg/django-precise-bbcode	567a8a7f104fb7f2c9d59f304791e53d2d8f4dea	[ "BSD-3-Clause" ]	30	2015-01-02T13:43:56.000Z	2021-02-08T18:43:09.000Z	tests/_testsite/dummyapp01/__init__.py	bastiedotorg/django-precise-bbcode	567a8a7f104fb7f2c9d59f304791e53d2d8f4dea	[ "BSD-3-Clause" ]	31	2015-01-16T00:25:19.000Z	2021-12-11T16:40:03.000Z	tests/_testsite/dummyapp01/__init__.py	bastiedotorg/django-precise-bbcode	567a8a7f104fb7f2c9d59f304791e53d2d8f4dea	[ "BSD-3-Clause" ]	13	2015-07-16T23:25:10.000Z	2020-08-23T20:12:24.000Z	default_app_config = 'tests._testsite.dummyapp01.apps.DummyAppConfig'	35	69	0.857143	8	70	7.125	1	0	0	0	0	0	0	0	0	0	0.029851	0.042857	70	1	70	70	0.820896	0	0	0	0	0.657143	0.657143	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	4
fc33f4c547713b21628617f96fc8fc71da233ddd	1,815	py	Python	kubernetes/test/test_node_v1beta1_api.py	Prahladk09/python-1	2dfb3035535e4be52ba549f1ff47acbe573b73f6	[ "Apache-2.0" ]	1	2020-04-13T09:54:21.000Z	2020-04-13T09:54:21.000Z	kubernetes/test/test_node_v1beta1_api.py	Prahladk09/python-1	2dfb3035535e4be52ba549f1ff47acbe573b73f6	[ "Apache-2.0" ]	1	2019-08-15T14:27:17.000Z	2019-08-15T14:28:07.000Z	kubernetes/test/test_node_v1beta1_api.py	Prahladk09/python-1	2dfb3035535e4be52ba549f1ff47acbe573b73f6	[ "Apache-2.0" ]	2	2020-08-05T03:06:48.000Z	2020-08-05T16:08:21.000Z	# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: v1.14.4 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import os import sys import unittest import kubernetes.client from kubernetes.client.rest import ApiException from kubernetes.client.apis.node_v1beta1_api import NodeV1beta1Api class TestNodeV1beta1Api(unittest.TestCase): """ NodeV1beta1Api unit test stubs """ def setUp(self): self.api = kubernetes.client.apis.node_v1beta1_api.NodeV1beta1Api() def tearDown(self): pass def test_create_runtime_class(self): """ Test case for create_runtime_class """ pass def test_delete_collection_runtime_class(self): """ Test case for delete_collection_runtime_class """ pass def test_delete_runtime_class(self): """ Test case for delete_runtime_class """ pass def test_get_api_resources(self): """ Test case for get_api_resources """ pass def test_list_runtime_class(self): """ Test case for list_runtime_class """ pass def test_patch_runtime_class(self): """ Test case for patch_runtime_class """ pass def test_read_runtime_class(self): """ Test case for read_runtime_class """ pass def test_replace_runtime_class(self): """ Test case for replace_runtime_class """ pass if __name__ == '__main__': unittest.main()	17.970297	105	0.604408	198	1,815	5.242424	0.313131	0.16185	0.084778	0.115607	0.476879	0.388247	0.136802	0	0	0	0.013721	0.317355	1,815	100	106	18.15	0.824052	0.298072	0.3	1	0	0.008197	0	0	0	0	0	1	0.333333	false	0.3	0.233333	0	0.6	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	1	0	1	0	0	1	0	4
fc7540c8a93606168efc7bdec70dee9c2c61fb97	60	py	Python	main.py	jdiaz/snorkel	d553480f3193f105d6f5befa04afb3656cd94d49	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	main.py	jdiaz/snorkel	d553480f3193f105d6f5befa04afb3656cd94d49	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	main.py	jdiaz/snorkel	d553480f3193f105d6f5befa04afb3656cd94d49	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	import src if __name__ == "__main__": src.main.main()	10	26	0.633333	8	60	3.75	0.625	0	0	0	0	0	0	0	0	0	0	0.216667	60	5	27	12	0.638298	0	0	0	0	0.135593	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
fc7ed516d43eb4b1ca1416d1c9ed67231fc3eb2d	50	py	Python	tests/input_scripts/filepath.py	shiba6v/shape_commentator	e57c4d7e0781fa02fdc49dbc5c88236df5948cf1	[ "MIT" ]	65	2018-12-06T15:34:50.000Z	2021-09-10T12:38:43.000Z	tests/input_scripts/filepath.py	shiba6v/shape_commentator	e57c4d7e0781fa02fdc49dbc5c88236df5948cf1	[ "MIT" ]	5	2018-12-14T06:32:54.000Z	2019-08-04T09:36:45.000Z	tests/input_scripts/filepath.py	shiba6v/shape_commentator	e57c4d7e0781fa02fdc49dbc5c88236df5948cf1	[ "MIT" ]	1	2019-01-02T00:05:38.000Z	2019-01-02T00:05:38.000Z	print(__file__) print(__package__) print(__name__)	16.666667	18	0.84	6	50	5	0.666667	0	0	0	0	0	0	0	0	0	0	0.04	50	3	19	16.666667	0.625	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	4
fc9c68c026d3230d1a709a9e33e0041b6cdb10cb	149	py	Python	utils/__init__.py	firstelfin/WarmUpLR	99d7f3253834c0e04aa79c5354dc784c073f2116	[ "Apache-2.0" ]	1	2021-05-13T04:00:18.000Z	2021-05-13T04:00:18.000Z	utils/__init__.py	firstelfin/WarmUpLR	99d7f3253834c0e04aa79c5354dc784c073f2116	[ "Apache-2.0" ]	null	null	null	utils/__init__.py	firstelfin/WarmUpLR	99d7f3253834c0e04aa79c5354dc784c073f2116	[ "Apache-2.0" ]	1	2021-07-26T02:23:06.000Z	2021-07-26T02:23:06.000Z	#!/usr/bin/env python # -- coding: utf-8 -- # @Author : elfin # @Time : 2021/5/12 17:33 # @File : __init__.py.py # @Project : WarmUpLR	18.625	29	0.550336	21	149	3.714286	0.952381	0	0	0	0	0	0	0	0	0	0.106195	0.241611	149	7	30	21.285714	0.584071	0.912752	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
5d87ad424d9fd274ea161348b9fe7a056aaf5c75	213,913	py	Python	3algo/homo/c5_12_4datap.py	allengrr/deadlock_project	933878077c45a7df04daa087407bb2620c064617	[ "MIT" ]	null	null	null	3algo/homo/c5_12_4datap.py	allengrr/deadlock_project	933878077c45a7df04daa087407bb2620c064617	[ "MIT" ]	null	null	null	3algo/homo/c5_12_4datap.py	allengrr/deadlock_project	933878077c45a7df04daa087407bb2620c064617	[ "MIT" ]	1	2021-03-21T17:54:26.000Z	2021-03-21T17:54:26.000Z	timely5_12_4 = 2722 untimely5_12_4 = 317 record4 = [[({'t2.113.125.0': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.113.125.0': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.113.125.0': [0.503, 1.6], 't3.113.125.0': [0.321, 1.6]}), 'mec-3'], [({'t2.111.125.1': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t2.111.125.1': [0.341, 1.6]}), 'mec-1'], [({'t3.110.125.2': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.110.125.2': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.110.125.2': [0.35, 1.6], 't4.110.125.2': [0.43, 1.6]}), 'osboxes-0'], [({'t3.112.125.3': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.112.125.3': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.112.125.3': [0.412, 1.6], 't2.112.125.3': [0.334, 1.6]}), 'mec-2'], [({'t2.110.125.4': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.110.125.4': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.110.125.4': [0.441, 1.6], 't4.110.125.4': [0.435, 1.6]}), 'osboxes-0'], [({'t2.110.125.5': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.110.125.5': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.110.125.5': [0.415, 1.6], 't5.110.125.5': [0.311, 1.6]}), 'osboxes-0'], [({'t3.113.125.6': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.113.125.6': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.113.125.6': [0.312, 1.6], 't4.113.125.6': [0.361, 1.6]}), 'mec-3'], [({'t4.111.125.7': {'wcet': 1, 'period': 10, 'deadline': 9}, 't5.111.125.7': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t4.111.125.7': [0.469, 1.6], 't5.111.125.7': [0.334, 1.6]}), 'mec-1'], [({'t4.112.125.8': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.112.125.8': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.112.125.8': [0.379, 1.6], 't3.112.125.8': [0.469, 1.6]}), 'mec-2'], [({'t3.113.125.9': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.113.125.9': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.113.125.9': [0.366, 1.6], 't4.113.125.9': [0.542, 1.6]}), 'mec-3'], [({'t4.112.125.10': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.112.125.10': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.112.125.10': [0.304, 1.6], 't3.112.125.10': [0.43, 1.6]}), 'mec-2'], [({'t4.112.125.11': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t4.112.125.11': [0.403, 1.6]}), 'mec-2'], [({'t4.111.125.12': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t4.111.125.12': [0.332, 1.6]}), 'mec-1'], [({'t4.110.125.13': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t4.110.125.13': [0.44, 1.6]}), 'osboxes-0'], [({'t4.112.125.14': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t4.112.125.14': [0.467, 1.6]}), 'mec-2'], [({'t5.110.125.15': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t5.110.125.15': [0.496, 1.6]}), 'osboxes-0'], [({'t4.110.125.16': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.110.125.16': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.110.125.16': [0.428, 1.6], 't2.110.125.16': [0.4, 1.6]}), 'osboxes-0'], [({'t3.113.125.17': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t3.113.125.17': [0.384, 1.6]}), 'mec-3'], [({'t2.112.125.18': {'wcet': 1, 'period': 5, 'deadline': 4}, 't5.112.125.18': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t2.112.125.18': [0.418, 1.6], 't5.112.125.18': [0.416, 1.6]}), 'mec-2'], [({'t4.113.125.19': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.113.125.19': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.113.125.19': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.113.125.19': [0.429, 1.6], 't3.113.125.19': [0.321, 1.6], 't2.113.125.19': [0.335, 1.6]}), 'mec-3'], [({'t3.111.125.20': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.111.125.20': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.111.125.20': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.111.125.20': [0.424, 1.6], 't4.111.125.20': [0.391, 1.6], 't2.111.125.20': [0.445, 1.6]}), 'mec-1'], [({'t4.112.125.21': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.112.125.21': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.112.125.21': [0.419, 1.6], 't2.112.125.21': [0.44, 1.6]}), 'mec-2'], [({'t4.110.125.22': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.110.125.22': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.110.125.22': [0.315, 1.6], 't3.110.125.22': [0.525, 1.6]}), 'osboxes-0'], [({'t5.110.125.23': {'wcet': 3, 'period': 15, 'deadline': 12}, 't2.110.125.23': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t5.110.125.23': [0.423, 1.6], 't2.110.125.23': [0.392, 1.6]}), 'osboxes-0'], [({'t2.112.125.24': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.112.125.24': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.112.125.24': [0.44, 1.6], 't4.112.125.24': [0.401, 1.6]}), 'mec-2'], [({'t1.111.125.25': 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{'t4.112.125.852': [0.521, 1.6], 't3.112.125.852': [0.39, 1.6]}), 'mec-2'], [({'t3.113.125.853': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.113.125.853': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.113.125.853': [0.517, 1.6], 't2.113.125.853': [0.545, 1.6]}), 'mec-3'], [({'t2.111.125.854': {'wcet': 1, 'period': 5, 'deadline': 4}, 't3.111.125.854': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t2.111.125.854': [0.344, 1.6], 't3.111.125.854': [0.407, 1.6]}), 'mec-1'], [({'t3.111.125.855': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.111.125.855': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.111.125.855': [0.33, 1.6], 't4.111.125.855': [0.344, 1.6]}), 'mec-1'], [({'t4.113.125.856': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.113.125.856': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.113.125.856': [0.466, 1.6], 't2.113.125.856': [0.51, 1.6]}), 'mec-3'], [({'t3.113.125.857': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.113.125.857': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t3.113.125.857': [0.519, 1.6], 't2.113.125.857': [0.511, 1.6]}), 'mec-3'], [({'t4.110.125.858': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.110.125.858': {'wcet': 2, 'period': 10, 'deadline': 8}, 't2.110.125.858': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.110.125.858': [0.407, 1.6], 't3.110.125.858': [0.506, 1.6], 't2.110.125.858': [0.315, 1.6]}), 'osboxes-0'], [({'t1.110.125.859': {'wcet': 3, 'period': 20, 'deadline': 15}, 't3.110.125.859': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t1.110.125.859': [0.501, 1.6], 't3.110.125.859': [0.434, 1.6]}), 'osboxes-0'], [({'t4.111.125.860': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.111.125.860': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.111.125.860': [0.432, 1.6], 't3.111.125.860': [0.472, 1.6]}), 'mec-1'], [({'t4.112.125.861': {'wcet': 1, 'period': 10, 'deadline': 9}, 't2.112.125.861': {'wcet': 1, 'period': 5, 'deadline': 4}}, {'t4.112.125.861': [0.507, 1.6], 't2.112.125.861': [0.325, 1.6]}), 'mec-2'], [({'t3.112.125.862': {'wcet': 2, 'period': 10, 'deadline': 8}, 't4.112.125.862': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t3.112.125.862': [0.366, 1.6], 't4.112.125.862': [0.353, 1.6]}), 'mec-2'], [({'t2.111.125.863': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.111.125.863': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.111.125.863': [0.439, 1.6], 't4.111.125.863': [0.366, 1.6]}), 'mec-1'], [({'t4.112.125.864': {'wcet': 1, 'period': 10, 'deadline': 9}, 't3.112.125.864': {'wcet': 2, 'period': 10, 'deadline': 8}}, {'t4.112.125.864': [0.36, 1.6], 't3.112.125.864': [0.324, 1.6]}), 'mec-2'], [({'t5.110.125.865': {'wcet': 3, 'period': 15, 'deadline': 12}}, {'t5.110.125.865': [0.482, 1.6]}), 'osboxes-0'], [({'t2.110.125.866': {'wcet': 1, 'period': 5, 'deadline': 4}, 't4.110.125.866': {'wcet': 1, 'period': 10, 'deadline': 9}}, {'t2.110.125.866': [0.543, 1.6], 't4.110.125.866': [0.524, 1.6]}), 'osboxes-0']] host_names4 = {'192.168.122.113': 'mec-3', '192.168.122.112': 'mec-2', '192.168.122.110': 'osboxes-0', '192.168.122.111': 'mec-1'} total_task_sent5_12_4 = 1756 total_split_task5_12_4 = 3039 task_dist5_12_4 = {1: 884, 2: 461, 3: 411} timely_5_12_4 = {'local': 2125, 'mec': 244, 'cloud': 353} untimely_5_12_4 = {'local': 270, 'mec': 24, 'cloud': 23} u_time5_12_4 = {'local': [4.056506, 4.292677, 4.474156, 1.607931, 3.442862, 3.65605, 3.870127, 1.690296, 1.770627, 1.693972, 1.907963, 1.645257, 1.884642, 2.09739, 1.729669, 1.946008, 1.72717, 2.012099, 2.220694, 1.7406039999999998, 1.930146, 2.084819, 2.321316, 2.599634, 1.699528, 1.9067020000000001, 2.141724, 2.364162, 1.7971059999999999, 1.722121, 1.6072069999999998, 1.78846, 1.969688, 1.7132640000000001, 4.876986, 5.105247, 5.805136, 6.011135, 1.7340659999999999, 2.026404, 2.6767909999999997, 2.851384, 3.016475, 1.688323, 1.871116, 2.154212, 1.8568259999999999, 1.652006, 1.900482, 2.115991, 1.848696, 1.711787, 1.831772, 2.056414, 2.281414, 1.673055, 1.886486, 1.726994, 1.7365499999999998, 2.013964, 2.221357, 1.680321, 1.654687, 1.677803, 1.8783249999999998, 2.082692, 2.287182, 1.60987, 2.234347, 2.478109, 1.652877, 1.817424, 1.979733, 1.6694390000000001, 1.95052, 2.158948, 2.374613, 1.623664, 1.850594, 1.603983, 1.820179, 2.113602, 1.647956, 1.921755, 1.6660119999999998, 1.883759, 1.650092, 1.787948, 2.006163, 3.073136, 3.29895, 3.554512, 1.634868, 1.824554, 1.657943, 1.855331, 1.747196, 4.092494, 4.325273, 4.488828, 4.680071, 1.617008, 2.116617, 2.380099, 1.836862, 1.704564, 1.938723, 2.115613, 2.236831, 2.498506, 2.760018, 1.906264, 2.142326, 2.418431, 1.748381, 1.741146, 2.030489, 2.250628, 1.640743, 1.834376, 2.063067, 1.8435570000000001, 2.013507, 2.182692, 2.046111, 2.206827, 2.366723, 1.792974, 1.680029, 1.7535020000000001, 1.9271539999999998, 2.177825, 1.8169339999999998, 2.078785, 2.3451079999999997, 2.566203, 1.692657, 1.641229, 1.8280189999999998, 1.700749, 1.90725, 2.142533, 1.660694, 1.958623, 2.171524, 1.802791, 1.854522, 2.160978, 2.036791, 2.278394, 4.029297, 4.268358, 4.523179, 4.194942, 4.356244, 4.544853, 4.705641, 2.2855280000000002, 2.453588, 2.71949, 1.749708, 1.926781, 2.091574, 2.266787, 2.4412089999999997, 1.691818, 1.8925079999999999, 2.097924, 1.605225, 1.807029, 1.646766, 1.638275, 1.9106619999999999, 2.075718, 2.336309, 1.609267, 1.922636, 2.639695, 2.874692, 3.038517, 3.20277, 1.61314, 1.730207, 1.616806, 1.8327209999999998, 3.024292, 3.193619, 3.361762, 2.086811, 2.24376, 2.463788, 2.395649, 1.671382, 1.855207, 2.044529, 1.6753019999999998, 1.890422, 2.448741, 2.679565, 1.829624, 2.106902, 1.6253989999999998, 1.864096, 1.619394, 1.690362, 1.916143, 1.644596, 1.914135, 2.140377, 1.802951, 2.889353, 3.091737, 3.328841, 1.64121, 1.8360859999999999, 2.023697, 1.74976, 2.035668, 2.255974, 1.7863609999999999, 1.772956, 1.789676, 1.978924, 2.369977, 2.6149139999999997, 1.744197, 1.982575, 2.151653, 2.352893, 2.554149, 2.7553989999999997, 1.6903169999999998, 1.670412, 1.841176, 2.045289, 1.6976719999999998, 5.254087, 5.431148, 5.606234, 5.781837, 2.7281, 3.017276, 3.193049, 2.563644, 2.72161, 2.97576, 1.619829, 1.812843, 2.044581, 1.65836, 1.8832659999999999, 2.124882, 1.808551, 2.074221, 2.160158, 2.438015, 2.715224, 1.753544, 2.027955, 2.487934, 2.703605, 2.914476, 1.616261, 1.672081, 1.703497, 2.099038, 2.37682, 2.65236, 1.752354, 1.976042], 'mec': [1.604679, 1.654772, 1.642714, 1.787077, 3.04486, 3.298333, 3.554071, 4.05676, 4.214585, 1.998402, 2.268814, 1.616533, 1.8101379999999998, 1.7153649999999998, 1.761812, 4.036403, 2.175489, 2.337949, 1.699393, 1.829451, 1.771741, 2.839636, 3.030583, 2.273381], 'cloud': [3.460776, 1.644927, 1.6491120000000001, 1.8333059999999999, 2.197639, 2.473227, 1.7547169999999999, 1.691446, 1.9339659999999999, 1.6106669999999998, 1.812042, 2.083442, 2.281687, 1.883244, 4.060323, 4.308641, 4.174174, 1.8067229999999999, 2.575797, 1.734846, 2.725923, 2.9007259999999997, 1.785244]} t_time5_12_4 = {'local': [0.944642, 1.122889, 1.3076029999999998, 0.6491399999999999, 0.9055679999999999, 1.136842, 1.3658109999999999, 0.572873, 0.7970389999999999, 0.598231, 0.760836, 0.920111, 1.081764, 0.6187509999999999, 0.810724, 0.9851759999999999, 0.550685, 0.736567, 0.927728, 1.115635, 0.449754, 0.6454099999999999, 0.8921199999999999, 0.600645, 0.9040779999999999, 1.110303, 0.41978, 0.60008, 0.827313, 0.9270109999999999, 0.384968, 1.45148, 0.37348, 0.67246, 0.922009, 1.176409, 1.3444829999999999, 1.5646849999999999, 0.460818, 0.666098, 0.612335, 0.8619899999999999, 1.103835, 0.399708, 0.569958, 0.810742, 0.995012, 0.728802, 0.953668, 1.16731, 0.499436, 0.733375, 0.966789, 1.130877, 1.399536, 0.27946299999999996, 0.496884, 0.714568, 0.619786, 0.825638, 0.574387, 0.782245, 0.98944, 0.76201, 0.9760749999999999, 1.216494, 0.460624, 0.655562, 0.856213, 1.074442, 0.7326269999999999, 0.9053239999999999, 1.111114, 1.282268, 0.612862, 0.8032809999999999, 1.102472, 0.7086279999999999, 0.936414, 1.186586, 0.672253, 0.936712, 1.1906889999999999, 0.8785219999999999, 1.164834, 1.446453, 0.958926, 1.211986, 0.772145, 0.9466829999999999, 0.689361, 0.869933, 1.143805, 0.45341099999999995, 0.6818649999999999, 0.946222, 0.6389279999999999, 0.869042, 1.14934, 0.534362, 0.8101309999999999, 1.063781, 0.590042, 0.866709, 0.3495, 0.538069, 0.80282, 1.009534, 0.348474, 0.512096, 0.675929, 0.839938, 0.590243, 0.7813289999999999, 0.9790719999999999, 0.898544, 1.125168, 1.37607, 0.478525, 0.69614, 0.942861, 0.6280629999999999, 0.8883209999999999, 1.130927, 1.368243, 0.672144, 0.881578, 1.113049, 0.8747579999999999, 1.053239, 1.253719, 1.448561, 0.877537, 1.093412, 1.3116029999999999, 1.516299, 1.243579, 1.412504, 1.581486, 0.479877, 0.676057, 0.841113, 1.037303, 0.653716, 0.932124, 1.128517, 0.44394799999999995, 0.7039719999999999, 0.9344389999999999, 0.412116, 0.654339, 0.618219, 0.855414, 0.7629239999999999, 1.031373, 1.3120560000000001, 0.7304029999999999, 0.9791099999999999, 1.257491, 0.501521, 0.6727989999999999, 0.8547969999999999, 1.03789, 0.963849, 1.222283, 1.4855209999999999, 0.423396, 0.510922, 0.8048949999999999, 1.07623, 0.931157, 1.152414, 0.456242, 0.691619, 0.868145, 1.05989, 1.235223, 0.41303399999999996, 0.695591, 0.8705729999999999, 0.5686089999999999, 0.748435, 0.912141, 1.160074, 1.494043, 0.471124, 0.731725, 1.016129, 1.232965, 1.404658, 0.8730629999999999, 1.155225, 1.426515, 0.818203, 1.091995, 1.311896, 1.546249, 0.583534, 0.8150379999999999, 0.944074, 1.187473, 1.423161, 0.8558159999999999, 1.099561, 1.332164, 1.383426, 0.637884, 0.868317, 1.119811, 0.463491, 0.702055, 0.9401849999999999, 0.713094, 0.686269, 0.887952, 1.102163, 1.327345, 0.619122, 0.807356, 0.986467, 0.764145, 0.9882599999999999, 1.202647, 0.455756, 0.6759189999999999, 0.9132859999999999, 0.8053389999999999, 0.9853799999999999, 1.23297, 0.9147109999999999, 1.108706, 1.357243, 0.807703, 0.474022, 0.73739, 0.9960129999999999, 0.46570599999999995, 0.737385, 1.008738, 1.535723, 0.6832269999999999, 0.9396509999999999, 1.206407, 1.310288, 1.473703, 0.550566, 0.828303, 1.0821209999999999, 1.114393, 1.373453, 1.018096, 1.262623, 1.455677, 0.7284849999999999, 0.969619, 0.635985, 0.82256, 1.074701, 1.28253, 0.826542, 1.103767, 1.321678, 1.380684, 1.572681, 1.373251, 1.5718779999999999, 1.240021, 0.44015499999999996, 0.659925, 0.838185, 0.43543299999999996, 0.5907479999999999, 0.8266669999999999, 1.062475, 0.49177899999999997, 0.7431869999999999, 0.641656, 0.873016, 1.109364, 1.243257, 1.402674, 1.562136, 0.9027649999999999, 1.177954, 1.373553, 0.893486, 1.141228, 1.395635, 0.8289259999999999, 1.060659, 1.252959, 0.469985, 0.663895, 0.875861, 1.076528, 0.402171, 0.627891, 0.864957, 1.038687, 0.47056899999999996, 0.678705, 0.341171, 0.537984, 0.7339399999999999, 0.430423, 0.6428729999999999, 0.810886, 0.887995, 1.120687, 1.396104, 0.624257, 0.794095, 0.969271, 1.150182, 0.7492249999999999, 0.508421, 0.668334, 0.84381, 1.018772, 1.425997, 0.6536879999999999, 0.844993, 1.131512, 0.622194, 0.906231, 1.203299, 0.451785, 0.733985, 1.014833, 0.697104, 0.935079, 1.174455, 0.512286, 0.792503, 1.073496, 1.190218, 1.455952, 0.368152, 0.601061, 0.8349219999999999, 0.631817, 0.8232069999999999, 1.089603, 0.645875, 0.900639, 1.134897, 0.41209799999999996, 0.658007, 0.577674, 0.827367, 0.679627, 0.905293, 1.131233, 0.6750149999999999, 0.8561059999999999, 1.03655, 0.7339249999999999, 0.99913, 1.252674, 0.673569, 0.9095289999999999, 1.184585, 0.639361, 0.856456, 1.088131, 0.827723, 1.081213, 1.318789, 0.592815, 0.870896, 1.110694, 0.536099, 0.7207399999999999, 1.011561, 0.34132799999999996, 0.6602899999999999, 0.924055, 0.812288, 1.094632, 1.313104, 0.46338599999999996, 0.699646, 0.985661, 0.8450749999999999, 0.776158, 0.958518, 1.1673689999999999, 1.395295, 0.595205, 0.861351, 1.103253, 0.46419099999999996, 0.64218, 0.810033, 0.9814999999999999, 1.164471, 0.46446699999999996, 0.665732, 0.8763249999999999, 0.47302299999999997, 0.7113189999999999, 0.941674, 0.301367, 0.549084, 0.7768649999999999, 0.945075, 0.655702, 0.82588, 0.586615, 0.809377, 1.035883, 0.584554, 0.796111, 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5dd1bda918135c2c270ba220afff1b927024bcbb	127	py	Python	mws/__init__.py	TristanMozos/python-amazon-mws	e9c672e08204ab1951dc2829f846cbc8cbe37d20	[ "Unlicense" ]	null	null	null	mws/__init__.py	TristanMozos/python-amazon-mws	e9c672e08204ab1951dc2829f846cbc8cbe37d20	[ "Unlicense" ]	null	null	null	mws/__init__.py	TristanMozos/python-amazon-mws	e9c672e08204ab1951dc2829f846cbc8cbe37d20	[ "Unlicense" ]	null	null	null	# -- coding: utf-8 -- from __future__ import absolute_import from .mws import * # noqa: F401, F403 __version__ = "0.8.11"	18.142857	38	0.669291	18	127	4.222222	0.777778	0	0	0	0	0	0	0	0	0	0.105769	0.181102	127	6	39	21.166667	0.625	0.299213	0	0	0	0.069767	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
5de9fcf04a8e10682688039bd24ccdd827f06c52	135	py	Python	lang/Python/input-loop-2.py	ethansaxenian/RosettaDecode	8ea1a42a5f792280b50193ad47545d14ee371fb7	[ "MIT" ]	5	2021-01-29T20:08:05.000Z	2022-03-22T06:16:05.000Z	lang/Python/input-loop-2.py	ethansaxenian/RosettaDecode	8ea1a42a5f792280b50193ad47545d14ee371fb7	[ "MIT" ]	null	null	null	lang/Python/input-loop-2.py	ethansaxenian/RosettaDecode	8ea1a42a5f792280b50193ad47545d14ee371fb7	[ "MIT" ]	1	2021-04-13T04:19:31.000Z	2021-04-13T04:19:31.000Z	my_file = open(filename, 'r') try: for line in my_file: pass # process line, includes newline finally: my_file.close()	19.285714	45	0.651852	20	135	4.25	0.75	0.211765	0	0	0	0	0	0	0	0	0	0.244444	135	6	46	22.5	0.833333	0.222222	0	0	0	0.009709	0	0	0	0	0	1	0	false	0.166667	0	0	0	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	4
f8dd3783bb90786ee1a01b938c13569908868632	19	py	Python	SoftLayer/CLI/tags/__init__.py	dvzrv/softlayer-python	9a5f6c6981bcc370084537b4d1769383499ce90d	[ "MIT" ]	126	2015-01-05T05:09:22.000Z	2021-07-02T00:16:35.000Z	SoftLayer/CLI/tags/__init__.py	dvzrv/softlayer-python	9a5f6c6981bcc370084537b4d1769383499ce90d	[ "MIT" ]	969	2015-01-05T15:55:31.000Z	2022-03-31T19:55:20.000Z	SoftLayer/CLI/tags/__init__.py	dvzrv/softlayer-python	9a5f6c6981bcc370084537b4d1769383499ce90d	[ "MIT" ]	176	2015-01-22T11:23:40.000Z	2022-02-11T13:16:58.000Z	"""Manage Tags"""	9.5	18	0.526316	2	19	5	1	0	0	0	0	0	0	0	0	0	0	0.157895	19	1	19	19	0.625	0.578947	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
5d1dd1e2cf154077c7eba9c8d9f4a6948f9060a2	101	py	Python	mole/__init__.py	latour-a/mole	3e838d827bd6c2b1257dcf82acfbd02c8829d1ff	[ "MIT" ]	null	null	null	mole/__init__.py	latour-a/mole	3e838d827bd6c2b1257dcf82acfbd02c8829d1ff	[ "MIT" ]	null	null	null	mole/__init__.py	latour-a/mole	3e838d827bd6c2b1257dcf82acfbd02c8829d1ff	[ "MIT" ]	null	null	null	# coding: utf8 """ Collection de scripts pour résoudre le problème "Le jardinier et les taupes". """	20.2	77	0.722772	14	101	5.214286	0.928571	0	0	0	0	0	0	0	0	0	0.011905	0.168317	101	4	78	25.25	0.857143	0.90099	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
5d2de6401f668ac3b91461f3b8dcaecc51973b54	167	py	Python	01.Basic/Loops/FoorLoops.py	engineerscodes/PyVisionHUB	512ff1fde5dd9849e555bc7848a11cee65ee9068	[ "MIT" ]	4	2020-09-02T10:25:32.000Z	2021-06-05T08:45:50.000Z	01.Basic/Loops/FoorLoops.py	engineerscodes/PyVisionHUB	512ff1fde5dd9849e555bc7848a11cee65ee9068	[ "MIT" ]	null	null	null	01.Basic/Loops/FoorLoops.py	engineerscodes/PyVisionHUB	512ff1fde5dd9849e555bc7848a11cee65ee9068	[ "MIT" ]	1	2021-10-01T07:04:05.000Z	2021-10-01T07:04:05.000Z	for i in "dbwhdbwhd": print(i ,end=" ") print() for i in ["Naveen","Viart","Bala"]: print(i,end=" ,") print() for i in range(5,100,5): print(i, end=" ")	15.181818	35	0.532934	28	167	3.178571	0.428571	0.134831	0.202247	0.314607	0.449438	0.449438	0.449438	0	0	0	0.038168	0.215569	167	10	36	16.7	0.641221	0	0.5	0	0	0.168675	0	0	0	0	0	1	0	false	0	0	0	0	0.625	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	4
5d3e840fea02d0ba148ced0086f4bb647496bb2e	121	py	Python	runtests.py	hasgeek/geekup	4e9b83f63203ae15d11a3e2e679e8a86ae02e545	[ "CC-BY-3.0" ]	1	2020-06-26T17:10:37.000Z	2020-06-26T17:10:37.000Z	runtests.py	hasgeek/geekup	4e9b83f63203ae15d11a3e2e679e8a86ae02e545	[ "CC-BY-3.0" ]	5	2017-05-04T06:24:17.000Z	2019-05-08T00:16:46.000Z	runtests.py	hasgeek/geekup	4e9b83f63203ae15d11a3e2e679e8a86ae02e545	[ "CC-BY-3.0" ]	null	null	null	#!/usr/bin/env python # -- coding: iso-8859-15 -- import os import nose os.environ['GEEKUP_ENV'] = "test" nose.main()	15.125	33	0.652893	19	121	4.105263	0.789474	0	0	0	0	0	0	0	0	0	0.057143	0.132231	121	7	34	17.285714	0.685714	0.396694	0	0	0	0.197183	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
5d4409380ece7fd1c8f1d08709b97e6c45408480	111	py	Python	PDSim/__init__.py	sebdenis/pdsim	1219d257d4952f396022f2a41c245765c8728ab0	[ "MIT" ]	24	2016-01-04T02:06:25.000Z	2022-03-12T08:03:55.000Z	PDSim/__init__.py	sebdenis/pdsim	1219d257d4952f396022f2a41c245765c8728ab0	[ "MIT" ]	57	2015-04-25T23:42:28.000Z	2022-03-08T10:04:14.000Z	PDSim/__init__.py	sebdenis/pdsim	1219d257d4952f396022f2a41c245765c8728ab0	[ "MIT" ]	17	2015-04-21T07:45:45.000Z	2022-03-12T08:03:49.000Z	__version__ = '2.10.0' __git_revision__ = '3171cfb3f004a9f248ae8b52e3f1ba4547946ae6' __git_branch__ = 'master'	27.75	61	0.81982	10	111	7.7	0.9	0	0	0	0	0	0	0	0	0	0.284314	0.081081	111	3	62	37	0.470588	0	0	0	0	0.468468	0.36036	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
5d70a67184191b317387b5bf0e4c78023a82b5c5	83	py	Python	main.py	Gloomymoon/LegoSpyder	61c93131f11b8866a797b00c3ebe270e10b4ba8c	[ "Apache-2.0" ]	null	null	null	main.py	Gloomymoon/LegoSpyder	61c93131f11b8866a797b00c3ebe270e10b4ba8c	[ "Apache-2.0" ]	null	null	null	main.py	Gloomymoon/LegoSpyder	61c93131f11b8866a797b00c3ebe270e10b4ba8c	[ "Apache-2.0" ]	null	null	null	from scrapy import cmdline cmdline.execute("scrapy crawl lego -o lego.jl".split())	27.666667	55	0.771084	13	83	4.923077	0.769231	0	0	0	0	0	0	0	0	0	0	0.108434	83	2	56	41.5	0.864865	0	0	0	0	0.337349	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
53789c41481cbb36239352034f4a1cc513ed4ff1	528	py	Python	corehq/ex-submodules/pillowtop/reindexer/change_providers/composite.py	kkrampa/commcare-hq	d64d7cad98b240325ad669ccc7effb07721b4d44	[ "BSD-3-Clause" ]	1	2020-05-05T13:10:01.000Z	2020-05-05T13:10:01.000Z	corehq/ex-submodules/pillowtop/reindexer/change_providers/composite.py	kkrampa/commcare-hq	d64d7cad98b240325ad669ccc7effb07721b4d44	[ "BSD-3-Clause" ]	1	2019-12-09T14:00:14.000Z	2019-12-09T14:00:14.000Z	corehq/ex-submodules/pillowtop/reindexer/change_providers/composite.py	MaciejChoromanski/commcare-hq	fd7f65362d56d73b75a2c20d2afeabbc70876867	[ "BSD-3-Clause" ]	5	2015-11-30T13:12:45.000Z	2019-07-01T19:27:07.000Z	from __future__ import absolute_import from __future__ import unicode_literals import itertools from pillowtop.reindexer.change_providers.interface import ChangeProvider class CompositeChangeProvider(ChangeProvider): """Change Provider of Change Providers """ def __init__(self, change_providers): self.change_providers = change_providers def iter_all_changes(self, start_from=None): return itertools.chain(*[change_provider.iter_all_changes() for change_provider in self.change_providers])	31.058824	114	0.797348	61	528	6.47541	0.47541	0.227848	0.144304	0	0	0	0	0	0	0	0	0.140152	528	16	115	33	0.870044	0.066288	0	0	0	0	0	0	0	0	0	1	0.222222	false	0	0.444444	0.111111	0.888889	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	1	1	0	0	4
53998524020770c1260ddd6c3ed57ef363fb514d	235	py	Python	src/lib/trains/train_factory.py	wisematch/KDMOT	03be0a148fc5d5a43c13a0427c429305b92e6838	[ "MIT" ]	null	null	null	src/lib/trains/train_factory.py	wisematch/KDMOT	03be0a148fc5d5a43c13a0427c429305b92e6838	[ "MIT" ]	null	null	null	src/lib/trains/train_factory.py	wisematch/KDMOT	03be0a148fc5d5a43c13a0427c429305b92e6838	[ "MIT" ]	null	null	null	from __future__ import absolute_import from __future__ import division from __future__ import print_function from .mot import MotTrainer from .mot_kd import MotKDTrainer train_factory = { 'mot': MotTrainer, 'kd': MotKDTrainer }	18.076923	38	0.8	29	235	5.931034	0.448276	0.174419	0.27907	0	0	0	0	0	0	0	0	0.148936	235	12	39	19.583333	0.86	0	0	0	0	0.021277	0	0	0	0	0	1	0	false	0	0.555556	0	0.555556	0.111111	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
539a197164ac6c31d7d008a005f310f78c1b32d3	232	py	Python	gram/admin.py	Chebichii-Lab/Instagram-Influencers	8b7c696ca1ab4df75ebbb5a5d0ecad2dcf5f2bc5	[ "MIT" ]	null	null	null	gram/admin.py	Chebichii-Lab/Instagram-Influencers	8b7c696ca1ab4df75ebbb5a5d0ecad2dcf5f2bc5	[ "MIT" ]	null	null	null	gram/admin.py	Chebichii-Lab/Instagram-Influencers	8b7c696ca1ab4df75ebbb5a5d0ecad2dcf5f2bc5	[ "MIT" ]	null	null	null	from gram.models import Comment, Follow, Image, Profile from django.contrib import admin # Register your models here. admin.site.register(Image) admin.site.register(Profile) admin.site.register(Comment) admin.site.register(Follow)	25.777778	55	0.810345	33	232	5.69697	0.454545	0.191489	0.361702	0	0	0	0	0	0	0	0	0.090517	232	8	56	29	0.890995	0.112069	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
53c8606286d3bea0d95700ae87abad940d66e7cc	331	py	Python	api/serializers/userinfo.py	lndba/apasa_backend	e0bb96e22a22f6e2a5a2826f225388113473e7e2	[ "Apache-2.0" ]	1	2019-08-06T07:31:40.000Z	2019-08-06T07:31:40.000Z	api/serializers/userinfo.py	lndba/apasa_backend	e0bb96e22a22f6e2a5a2826f225388113473e7e2	[ "Apache-2.0" ]	null	null	null	api/serializers/userinfo.py	lndba/apasa_backend	e0bb96e22a22f6e2a5a2826f225388113473e7e2	[ "Apache-2.0" ]	null	null	null	from rest_framework import serializers from api.models import * class UserInfoListSerializers(serializers.ModelSerializer): class Meta: model = UserInfo fields = ['id','username','email'] class UserSerializers(serializers.ModelSerializer): class Meta: model = UserInfo fields = "__all__"	23.642857	59	0.700906	31	331	7.322581	0.612903	0.229075	0.273128	0.30837	0.475771	0.475771	0.475771	0	0	0	0	0.214502	331	14	60	23.642857	0.873077	0	0.4	0	0	0.066265	0	0	0	0	0	1	0	false	0	0.2	0	0.6	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	4
53cd1dcfdfd5da3572add42dc220d94c61e19ba8	200	py	Python	karmabot/scripts/__init__.py	chromakode/karmabot	d8fe4fd1303320d577a41194b3e0f0258d4d5362	[ "BSD-3-Clause" ]	7	2015-02-24T00:05:03.000Z	2020-03-30T05:29:16.000Z	karmabot/extensions/__init__.py	chromakode/karmabot	d8fe4fd1303320d577a41194b3e0f0258d4d5362	[ "BSD-3-Clause" ]	1	2016-10-07T03:09:18.000Z	2016-10-07T03:09:18.000Z	karmabot/extensions/__init__.py	chromakode/karmabot	d8fe4fd1303320d577a41194b3e0f0258d4d5362	[ "BSD-3-Clause" ]	1	2020-03-30T05:29:17.000Z	2020-03-30T05:29:17.000Z	# Copyright the Karmabot authors and contributors. # All rights reserved. See AUTHORS. # # This file is part of 'karmabot' and is distributed under the BSD license. # See LICENSE for more details. #	28.571429	75	0.755	29	200	5.206897	0.758621	0	0	0	0	0	0	0	0	0	0	0.18	200	6	76	33.333333	0.920732	0.935	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
54db50b153eaeb351e7e303e8a07de5700874a8d	105	py	Python	cfgov/paying_for_college/models/pages.py	hillaryj/cfgov-refresh	99f75d62700e4b0fbd2a2e385d967198325f7429	[ "CC0-1.0" ]	null	null	null	cfgov/paying_for_college/models/pages.py	hillaryj/cfgov-refresh	99f75d62700e4b0fbd2a2e385d967198325f7429	[ "CC0-1.0" ]	null	null	null	cfgov/paying_for_college/models/pages.py	hillaryj/cfgov-refresh	99f75d62700e4b0fbd2a2e385d967198325f7429	[ "CC0-1.0" ]	null	null	null	# -- coding: utf-8 -- # from __future__ import unicode_literals # home for future wagtail page models	21	41	0.72381	14	105	5.071429	0.928571	0	0	0	0	0	0	0	0	0	0.011494	0.171429	105	4	42	26.25	0.804598	0.92381	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
54db5df4007e132b26b12a1ecdfaa214930f991b	370	py	Python	tests/test_elements.py	Robert-Forrest/elementy	12922410f2ecd1a882d66845fccf82fef0ee35fc	[ "BSD-3-Clause" ]	null	null	null	tests/test_elements.py	Robert-Forrest/elementy	12922410f2ecd1a882d66845fccf82fef0ee35fc	[ "BSD-3-Clause" ]	null	null	null	tests/test_elements.py	Robert-Forrest/elementy	12922410f2ecd1a882d66845fccf82fef0ee35fc	[ "BSD-3-Clause" ]	null	null	null	import elementy.elements as elements def test_element_symbol(): assert elements.Hydrogen.symbol == "H" assert elements.Iron.symbol == "Fe" assert elements.Uranium.symbol == "U" def test_element_atomic_number(): assert elements.Hydrogen.atomic_number == 1 assert elements.Iron.atomic_number == 26 assert elements.Uranium.atomic_number == 92	23.125	47	0.732432	47	370	5.595745	0.425532	0.319392	0.106464	0	0	0	0	0	0	0	0.016234	0.167568	370	15	48	24.666667	0.837662	0	0	0	0	0.010811	0	0	0	0	0.666667	1	0.222222	true	0	0.111111	0	0.333333	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	1	1	0	0	0	0	0	4
07230097e9ffbc1796f4984f64247d1dd1a57bac	185	py	Python	app_todo/models.py	falken20/falken_home	3f34e3efc403591293a582ac95f49c5721db18b6	[ "MIT" ]	null	null	null	app_todo/models.py	falken20/falken_home	3f34e3efc403591293a582ac95f49c5721db18b6	[ "MIT" ]	9	2021-06-04T23:49:09.000Z	2022-01-03T22:53:49.000Z	app_todo/models.py	falken20/falken_home	3f34e3efc403591293a582ac95f49c5721db18b6	[ "MIT" ]	null	null	null	from django.db import models from django.utils.timezone import now class TodoItem(models.Model): content = models.TextField() date_created = models.DateTimeField(default=now)	23.125	52	0.772973	24	185	5.916667	0.708333	0.140845	0	0	0	0	0	0	0	0	0	0.140541	185	7	53	26.428571	0.893082	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.4	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
0737fa263391c2f092a40cdc8f60cd500fdfdb74	1,023	py	Python	tests/xlfunctions/test_xlcriteria.py	ckp95/xlcalculator	8f3f04a2a0a2ecb12c3d5837a5b13519137ae427	[ "MIT" ]	54	2020-04-26T09:18:29.000Z	2022-03-30T08:47:45.000Z	tests/xlfunctions/test_xlcriteria.py	st-lo/xlcalculator	19190ec90e948b7ab1eceb06448b96cc1728bc51	[ "MIT" ]	41	2020-05-04T04:12:36.000Z	2022-01-31T02:41:05.000Z	tests/xlfunctions/test_xlcriteria.py	st-lo/xlcalculator	19190ec90e948b7ab1eceb06448b96cc1728bc51	[ "MIT" ]	21	2020-05-21T20:49:23.000Z	2022-02-20T14:15:56.000Z	import unittest from xlcalculator.xlfunctions import xlcriteria class XlCriteriaModuleTest(unittest.TestCase): def test_parse_criteria(self): check = xlcriteria.parse_criteria('>3') self.assertTrue(check(4)) self.assertFalse(check(2)) def test_parse_criteria_asBool(self): check = xlcriteria.parse_criteria('>3') self.assertTrue(check(4)) self.assertFalse(check(2)) def test_parse_criteria_with_implicit_operator(self): # Assumes equality. check = xlcriteria.parse_criteria('1') self.assertTrue(check(1)) self.assertFalse(check(2)) def test_parse_criteria_with_implicit_operator_string_value(self): # Assumes equality. check = xlcriteria.parse_criteria('data') self.assertTrue(check('data')) self.assertFalse(check(2)) def test_parse_criteria_with_simple_number(self): check = xlcriteria.parse_criteria(1) self.assertTrue(check(1)) self.assertFalse(check(2))	30.088235	70	0.688172	117	1,023	5.786325	0.273504	0.192024	0.088626	0.14771	0.742984	0.737075	0.737075	0.639586	0.639586	0.573117	0.016049	0.208211	1,023	33	71	31	0.819753	0.034213	0.478261	0	0	0.013198	0	0	0	0	0.434783	1	0.217391	false	0	0.086957	0	0.347826	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	1	0	0	0	0	0	0	4
0741ab836dcb4f0aae7ea12654f25bed805c5262	22,352	py	Python	tests/common/test_rules_common.py	titanous/coreferee	08d4ec9d45f04322b8e89003e49a369c9a97a281	[ "Apache-2.0" ]	null	null	null	tests/common/test_rules_common.py	titanous/coreferee	08d4ec9d45f04322b8e89003e49a369c9a97a281	[ "Apache-2.0" ]	null	null	null	tests/common/test_rules_common.py	titanous/coreferee	08d4ec9d45f04322b8e89003e49a369c9a97a281	[ "Apache-2.0" ]	null	null	null	# Copyright 2021 msg systems ag # 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 in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import unittest import spacy import coreferee from coreferee.rules import RulesAnalyzerFactory from coreferee.test_utils import get_nlps from coreferee.data_model import Mention class CommonRulesTest(unittest.TestCase): def setUp(self): self.nlps = get_nlps('en') self.rules_analyzers = [RulesAnalyzerFactory().get_rules_analyzer(nlp) for nlp in self.nlps] self.sm_nlp = [nlp for nlp in self.nlps if nlp.meta['name'] == 'core_web_sm'][0] self.sm_rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(self.sm_nlp) def all_nlps(self, func): for nlp in self.nlps: func(nlp) def compare_sent_starts(self, doc_text, expected_sent_starts): def func(nlp): doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(expected_sent_starts, doc._.coref_chains.temp_sent_starts, nlp.meta['name']) self.all_nlps(func) def test_sent_starts(self): self.compare_sent_starts('My name is Charles. I am here. The weather is good', [0, 5, 9]) def compare_sent_indexes(self, doc_text, expected_sent_indexes): def func(nlp): doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(expected_sent_indexes, [token._.coref_chains.temp_sent_index for token in doc], nlp.meta['name']) self.all_nlps(func) def test_sent_index(self): self.compare_sent_indexes('My name is Charles. I am here. The weather is good', [0, 0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2]) def compare_get_dependent_sibling_info(self, doc_text, index, expected_dependent_siblings, expected_governing_sibling, expected_has_or_coordination): def func(nlp): doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory.get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(expected_dependent_siblings, str( doc[index]._.coref_chains.temp_dependent_siblings), nlp.meta['name']) for sibling in (sibling for sibling in doc[index]._.coref_chains.temp_dependent_siblings if sibling.i != index): self.assertEqual(doc[index], sibling._.coref_chains.temp_governing_sibling, nlp.meta['name']) if expected_governing_sibling is None: self.assertEqual(None, doc[index]._.coref_chains.temp_governing_sibling, nlp.meta['name']) else: self.assertEqual(doc[expected_governing_sibling], doc[index]._.coref_chains.temp_governing_sibling, nlp.meta['name']) self.assertEqual(expected_has_or_coordination, doc[index]._.coref_chains.temp_has_or_coordination, nlp.meta['name']) self.all_nlps(func) def test_get_dependent_sibling_info_no_conjunction(self): self.compare_get_dependent_sibling_info('Richard went home', 0, '[]', None, False) def test_get_dependent_sibling_info_two_member_conjunction_phrase_and(self): self.compare_get_dependent_sibling_info('Richard and Christine went home', 0, '[Christine]', None, False) def test_get_dependent_sibling_info_two_member_conjunction_phrase_or(self): self.compare_get_dependent_sibling_info('Richard or Christine went home', 0, '[Christine]', None, True) def test_get_dependent_sibling_info_three_member_conjunction_phrase_with_comma_and(self): self.compare_get_dependent_sibling_info('Carol, Richard and Ralf had a meeting', 0, '[Richard, Ralf]', None, False) def test_get_dependent_sibling_info_three_member_conjunction_phrase_with_comma_or(self): self.compare_get_dependent_sibling_info('Carol, Richard or Ralf had a meeting', 0, '[Richard, Ralf]', None, True) def test_get_dependent_sibling_info_three_member_conjunction_phrase_with_and(self): self.compare_get_dependent_sibling_info( 'There was a meeting with Carol and Ralf and Richard', 5, '[Ralf, Richard]', None, False) def test_get_dependent_sibling_info_three_member_conjunction_phrase_with_or(self): self.compare_get_dependent_sibling_info( 'A meeting with Carol or Ralf or Richard took place', 3, '[Ralf, Richard]', None, True) def test_get_dependent_sibling_info_three_member_conjunction_phrase_with_and_and_or(self): self.compare_get_dependent_sibling_info( 'There was a meeting with Carol or Ralf and Richard', 5, '[Ralf, Richard]', None, True) def test_get_dependent_sibling_info_conjunction_itself(self): self.compare_get_dependent_sibling_info( 'There was a meeting with Carol and Ralf and Richard', 6, '[]', None, False) def test_get_dependent_sibling_info_dependent_sibling(self): self.compare_get_dependent_sibling_info( 'There was a meeting with Carol and Ralf and Richard', 7, '[]', 5, False) def compare_quote_array(self, doc_text, index, expected_quote_array): def func(nlp): doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(expected_quote_array, doc[index]._.coref_chains.temp_quote_array, nlp.meta['name']) self.all_nlps(func) def test_quote_array_simple(self): self.compare_quote_array("He said 'Give it back'", 1, [0, 0, 0, 0]) self.compare_quote_array("He said 'Give it back'", 3, [1, 0, 0, 0]) def test_quote_array_complex(self): self.compare_quote_array("He said “Give it 'back'”", 1, [0, 0, 0, 0]) self.compare_quote_array("He said “Give it 'back'”", 3, [0, 0, 1, 0]) self.compare_quote_array("He said “Give it 'back'”", 6, [1, 0, 1, 0]) def compare_potential_noun_pair(self, doc_text, referred_index, referring_index, expected_truth, , excluded_nlps=[]): def func(nlp): if nlp.meta['name'] in excluded_nlps: return doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(expected_truth, rules_analyzer.is_potential_coreferring_noun_pair(doc[referred_index], doc[referring_index]), nlp.meta['name']) self.all_nlps(func) def test_potential_noun_pair_proper_noun_referred(self): self.compare_potential_noun_pair('This is Peter. Peter is here', 2, 4, True) def test_potential_noun_pair_proper_noun_referred_multiword(self): self.compare_potential_noun_pair('This is Peter Smith. Peter Smith is here', 3, 6, True) def test_potential_noun_pair_proper_noun_referred_multiword_referring_end(self): self.compare_potential_noun_pair('This is Peter Smith. Smith is here', 3, 5, True) def test_potential_noun_pair_proper_noun_referred_multiword_referring_beginning(self): self.compare_potential_noun_pair('This is Peter Smith. Peter is here', 3, 5, False) def test_potential_noun_pair_referred_proper_noun_with_child(self): self.compare_potential_noun_pair('I spoke to big Peter. Peter is here', 4, 6, True) def test_potential_noun_pair_referred_proper_noun_conjunction_first_member(self): self.compare_potential_noun_pair('I spoke to Peter and Jane. Peter is here', 3, 7, True) def test_potential_noun_pair_referred_proper_noun_conjunction_second_member(self): self.compare_potential_noun_pair('I spoke to Peter and Jane. Jane is here', 5, 7, True) def test_potential_noun_pair_referring_back_proper_noun_with_non_proper_noun_child(self): self.compare_potential_noun_pair('I spoke to Peter. Big Peter is here', 3, 6, True, excluded_nlps=['core_web_sm', 'core_web_trf']) def test_potential_noun_pair_referring_back_proper_noun_with_proper_noun_child(self): self.compare_potential_noun_pair('I spoke to Peter. Big Peter is here', 3, 6, False, excluded_nlps=['core_web_md', 'core_web_lg']) def test_potential_noun_pair_referring_back_proper_noun_conjunction_first_member(self): self.compare_potential_noun_pair('I spoke to Peter. Peter and Jane are here', 3, 5, True) def test_potential_noun_pair_referring_back_proper_noun_conjunction_second_member(self): self.compare_potential_noun_pair('I spoke to Jane. Peter and Jane are here', 3, 7, True) def test_potential_noun_pair_definite_common_noun_referred(self): self.compare_potential_noun_pair('This is a man. The man is here', 3, 6, True) def test_potential_noun_pair_indefinite_common_noun_referred(self): self.compare_potential_noun_pair('This is the man. A man is here', 3, 6, False) def test_potential_noun_pair_definite_plural_common_noun_referred_1(self): self.compare_potential_noun_pair('These are men. The men is here', 2, 5, False) def test_potential_noun_pair_definite_plural_common_noun_referred_2(self): self.compare_potential_noun_pair('These are some men. The men are here', 3, 6, True) def test_potential_noun_pair_definite_plural_common_noun_referred_3(self): self.compare_potential_noun_pair('These are the men. The men are here', 3, 6, True) def test_potential_noun_pair_indefinite_plural_common_noun_referred(self): self.compare_potential_noun_pair('These are men. Men is here', 2, 4, False) def test_potential_noun_pair_numbers_do_not_match(self): self.compare_potential_noun_pair('This is a man. The men are here.', 3, 6, False) def test_potential_noun_pair_entity_labels_referred(self): self.compare_potential_noun_pair( 'I spoke to the boss of Lehman Brothers. The company went bust', 7, 10, True) def test_potential_noun_pair_entity_labels_referred_not_definite_control(self): self.compare_potential_noun_pair( 'I spoke to the boss of Lehman Brothers. A company went bust', 7, 10, False) def test_potential_noun_pair_wrong_entity_label_referred(self): self.compare_potential_noun_pair( 'I spoke to the boss of Lehman Brothers. The person went bust', 7, 10, False) def test_potentially_independent_nouns_stored_on_token(self): doc = self.sm_nlp('They went to look at the space suits') self.sm_rules_analyzer.initialize(doc) self.assertFalse(doc[3]._.coref_chains.temp_potentially_referring) self.assertFalse(doc[6]._.coref_chains.temp_potentially_referring) self.assertTrue(doc[7]._.coref_chains.temp_potentially_referring) def compare_potential_pair(self, doc_text, referred_index, include_dependent_siblings, referring_index, expected_truth, consider_syntax=True, , excluded_nlps=[]): def func(nlp): if nlp.meta['name'] in excluded_nlps: return doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory.get_rules_analyzer(nlp) rules_analyzer.initialize(doc) assert rules_analyzer.is_independent_noun(doc[referred_index]) or \ rules_analyzer.is_potential_anaphor(doc[referred_index]) assert rules_analyzer.is_potential_anaphor(doc[referring_index]) referred_mention = Mention(doc[referred_index], include_dependent_siblings) if consider_syntax: self.assertEqual(expected_truth, rules_analyzer.language_independent_is_potential_anaphoric_pair( referred_mention, doc[referring_index]), nlp.meta['name']) else: self.assertEqual(expected_truth, rules_analyzer.is_potential_anaphoric_pair( referred_mention, doc[referring_index], False), nlp.meta['name']) self.all_nlps(func) def test_closer_within_structure_propn(self): self.compare_potential_pair('Richard arrived. Richard saw him.', 0, False, 5, 1) def test_closer_within_structure_propn_conjunction_first(self): self.compare_potential_pair('Richard and Peter arrived. Richard saw him.', 0, False, 7, 1) def test_closer_within_structure_propn_conjunction_second(self): self.compare_potential_pair('Richard and Peter arrived. Peter saw him.', 2, False, 7, 1) def test_closer_within_structure_child(self): self.compare_potential_pair('The dog arrived. The big dog saw him.', 1, False, 8, 2) def test_closer_within_structure_only_determiner(self): self.compare_potential_pair('The dog arrived. The dog saw him.', 1, False, 7, 1) def test_closer_within_structure_only_determiner_conjunction_first(self): self.compare_potential_pair('The dog and the cat arrived. The dog saw him.', 1, False, 10, 1) def test_closer_within_structure_only_determiner_conjunction_second(self): self.compare_potential_pair('The dog and the cat arrived. The cat saw him.', 4, False, 10, 1) def test_closer_within_structure_all_pronouns_control(self): self.compare_potential_pair('He arrived. He saw him.', 0, False, 5, 2) def test_consider_syntax_false(self): self.compare_potential_pair('He saw him.', 0, False, 2, 2, False) def test_consider_syntax_false_control(self): self.compare_potential_pair('He saw him', 0, False, 2, 0, True) def test_quotes(self): self.compare_potential_pair('"Richard is here", he said.', 1, False, 6, 1) def test_propn_subtree_beginning(self): doc = self.sm_nlp('Richard Hudson is here') self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[0])]) self.assertEqual([0, 1], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[1])]) self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[3])]) def test_propn_subtree_middle(self): doc = self.sm_nlp('He spoke to Richard Hudson yesterday') self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[0])]) self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[3])]) self.assertEqual([3, 4], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[4])]) self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[5])]) def test_propn_subtree_end(self): doc = self.sm_nlp('He spoke to Richard Hudson') self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[0])]) self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[3])]) self.assertEqual([3, 4], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[4])]) def test_propn_subtree_with_coordination(self): doc = self.sm_nlp('Richard Hudson and Peter Jones are here') self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[0])]) self.assertEqual([0, 1], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[1])]) self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[2])]) self.assertEqual([], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[3])]) self.assertEqual([3, 4], [t.i for t in self.sm_rules_analyzer.get_propn_subtree(doc[4])]) def compare_potentially_referring(self, doc_text, expected_per_indexes, , excluded_nlps=[]): def func(nlp): if nlp.meta['name'] in excluded_nlps: return doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory.get_rules_analyzer(nlp) rules_analyzer.initialize(doc) per_indexes = [token.i for token in doc if rules_analyzer.is_independent_noun(token)] self.assertEqual(expected_per_indexes, per_indexes, nlp.meta['name']) self.all_nlps(func) def test_has_morph_without_value(self): def func(nlp): doc = nlp('they') rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(True, rules_analyzer.has_morph(doc[0], 'Number'), nlp.meta['name']) self.assertEqual(False, rules_analyzer.has_morph(doc[0], 'Other'), nlp.meta['name']) self.all_nlps(func) def test_has_morph_with_value(self): def func(nlp): doc = nlp('they') rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(True, rules_analyzer.has_morph( doc[0], 'Number', 'Plur'), nlp.meta['name']) self.assertEqual(False, rules_analyzer.has_morph( doc[0], 'Number', 'Other'), nlp.meta['name']) self.assertEqual(False, rules_analyzer.has_morph( doc[0], 'Other', 'Other'), nlp.meta['name']) self.all_nlps(func) def compare_non_or_truths(self, doc_text, expected_trues): def func(nlp): doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory().get_rules_analyzer(nlp) rules_analyzer.initialize(doc) non_or_truths = [token.i for token in doc if rules_analyzer.is_involved_in_non_or_conjunction(token)] self.assertEqual(expected_trues, non_or_truths, nlp.meta['name']) self.all_nlps(func) def test_is_involved_in_non_or_conjunction_and_conjunction(self): self.compare_non_or_truths('Richard and Christine went home', [0,2]) def test_is_involved_in_non_or_conjunction_or_conjunction(self): self.compare_non_or_truths('Richard or Christine went home', []) def test_is_involved_in_non_or_conjunction_mixed_conjunction(self): self.compare_non_or_truths('Richard or Christine and Peter went home', []) def compare_potentially_introducing(self, doc_text, index, expected_truth, , excluded_nlps=[]): def func(nlp): if nlp.meta['name'] in excluded_nlps: return doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory.get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(expected_truth, rules_analyzer.is_potentially_introducing_noun(doc[index]), nlp.meta['name']) self.all_nlps(func) def test_potentially_introducing_not_noun(self): self.compare_potentially_introducing('I spoke to Peter', 2, False) def test_potentially_introducing_definite_noun(self): self.compare_potentially_introducing('I spoke to the man', 4, False) def test_potentially_introducing_indefinite_noun(self): self.compare_potentially_introducing('I spoke to a man', 4, True) def test_potentially_introducing_definite_noun_with_adjective(self): self.compare_potentially_introducing('I spoke to the big man', 5, True) def test_potentially_introducing_definite_noun_with_dependent_phrase(self): self.compare_potentially_introducing('I saw the man whom we had discussed', 3, True, excluded_nlps='core_web_sm') def test_potentially_introducing_common_noun_conjunction_first_member(self): self.compare_potentially_introducing('I spoke to a man and a woman', 4, True) def test_potentially_introducing_common_noun_conjunction_second_member(self): self.compare_potentially_introducing('I spoke to a man and a woman', 7, True) def compare_potentially_referring_back_noun(self, doc_text, index, expected_truth, *, excluded_nlps=[]): def func(nlp): if nlp.meta['name'] in excluded_nlps: return doc = nlp(doc_text) rules_analyzer = RulesAnalyzerFactory.get_rules_analyzer(nlp) rules_analyzer.initialize(doc) self.assertEqual(expected_truth, rules_analyzer.is_potentially_referring_back_noun(doc[index]), nlp.meta['name']) self.all_nlps(func) def test_potentially_referring_back_noun_not_noun(self): self.compare_potentially_referring_back_noun('I spoke to Peter', 2, False) def test_potentially_referring_back_noun_definite_noun(self): self.compare_potentially_referring_back_noun('I spoke to the man', 4, True) def test_potentially_referring_back_noun_indefinite_noun(self): self.compare_potentially_referring_back_noun('I spoke to a man', 4, False) def test_potentially_referring_back_noun_definite_noun_with_adjective(self): self.compare_potentially_referring_back_noun('I spoke to the big man', 5, False) def test_potentially_referring_back_noun_definite_noun_with_dependent_phrase(self): self.compare_potentially_referring_back_noun('I saw the man whom we had discussed', 3, False, excluded_nlps='core_web_sm') def test_potentially_referring_back_noun_common_noun_conjunction_first_member(self): self.compare_potentially_referring_back_noun('I spoke to the man and the woman', 4, True) def test_potentially_referring_back_noun_common_noun_conjunction_second_member(self): self.compare_potentially_referring_back_noun('I spoke to the man and the woman', 7, True)	45.523422	101	0.700206	3,080	22,352	4.740584	0.086039	0.062325	0.064722	0.052599	0.822341	0.778371	0.717417	0.688925	0.612424	0.513526	0.010932	0.210138	22,352	490	102	45.616327	0.816086	0.024562	0.333333	0	0	0.123853	0	0	0	0	0.115942	1	0.272464	false	0	0.017391	0	0.307246	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	4
0742644d31bb5d057222534889f3f6ae14e5941a	101	py	Python	MedIT_com/django_chatterbot/forms.py	PaolaDMadd/knock-knock-doctor-app	a58964620378d75591989298ed96a7c2f934f71e	[ "BSD-Source-Code" ]	null	null	null	MedIT_com/django_chatterbot/forms.py	PaolaDMadd/knock-knock-doctor-app	a58964620378d75591989298ed96a7c2f934f71e	[ "BSD-Source-Code" ]	2	2021-02-09T20:15:59.000Z	2021-02-09T20:16:10.000Z	MedIT_com/django_chatterbot/forms.py	PaolaDMadd/knok-knok-doctor-app	a58964620378d75591989298ed96a7c2f934f71e	[ "BSD-Source-Code" ]	1	2021-02-03T17:22:46.000Z	2021-02-03T17:22:46.000Z	from django import forms class MessageForm(forms.Form): message = forms.CharField(max_length=50)	25.25	44	0.782178	14	101	5.571429	0.857143	0	0	0	0	0	0	0	0	0	0.022727	0.128713	101	4	44	25.25	0.863636	0	0	0	0	0	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	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
07448f6ac70f0a4cc04393e057bf833b19ab61d7	149	py	Python	day07/test07.py	jaywoong/python	99daedd5a9418b72b2d5c3b800080e730eb9b3ea	[ "Apache-2.0" ]	null	null	null	day07/test07.py	jaywoong/python	99daedd5a9418b72b2d5c3b800080e730eb9b3ea	[ "Apache-2.0" ]	null	null	null	day07/test07.py	jaywoong/python	99daedd5a9418b72b2d5c3b800080e730eb9b3ea	[ "Apache-2.0" ]	null	null	null	list1 = [1,2,3,4,5] list2 = list1.copy() list3 = list1 print(list1 is list2) print(list1 is list3) print(list2 is list3) list2[1] = 30 print(list1)	14.9	21	0.691275	28	149	3.678571	0.428571	0.291262	0.23301	0	0	0	0	0	0	0	0.166667	0.154362	149	10	22	14.9	0.650794	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	4
074725d92123de256e2574703eeb78e34f91de64	755	py	Python	neurolang/utils/relational_algebra_set/__init__.py	gzanitti/NeuroLang	497d3d28b640329771e34d92ccec93f984c3f784	[ "BSD-3-Clause" ]	1	2021-01-07T02:00:22.000Z	2021-01-07T02:00:22.000Z	neurolang/utils/relational_algebra_set/__init__.py	NeuroLang/NeuroLang	282457a48722741d577b69980be0a46f69c9954f	[ "BSD-3-Clause" ]	207	2020-11-04T12:51:10.000Z	2022-03-30T13:42:26.000Z	neurolang/utils/relational_algebra_set/__init__.py	jonasrenault/NeuroLang	497d3d28b640329771e34d92ccec93f984c3f784	[ "BSD-3-Clause" ]	6	2020-11-04T13:59:35.000Z	2021-03-19T05:28:10.000Z	from neurolang.config import config from .abstract import RelationalAlgebraColumnInt, RelationalAlgebraColumnStr if config["RAS"].get("backend") == "dask": from .dask_sql import ( NamedRelationalAlgebraFrozenSet, RelationalAlgebraFrozenSet, RelationalAlgebraSet, RelationalAlgebraStringExpression, ) else: from .pandas import ( NamedRelationalAlgebraFrozenSet, RelationalAlgebraFrozenSet, RelationalAlgebraSet, RelationalAlgebraStringExpression, ) __all__ = [ "RelationalAlgebraColumnInt", "RelationalAlgebraColumnStr", "RelationalAlgebraStringExpression", "RelationalAlgebraFrozenSet", "RelationalAlgebraSet", "NamedRelationalAlgebraFrozenSet", ]	26.964286	76	0.73245	39	755	14.051282	0.512821	0.251825	0.229927	0.30292	0.423358	0	0	0	0	0	0	0.197351	755	27	77	27.962963	0.90429	0	0.333333	0	0	0.233113	0.188079	0	0	0	0	1	0	false	0	0.166667	0	0.166667	0	0	0	1	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
0747b906670ddbe5bdd10d9dce28b667d4db7a5e	21,990	py	Python	tests/test_grid_tools.py	kgullikson88/Starfish	965bbf2069854dfd92d795d3f902b6dae74537f9	[ "BSD-3-Clause" ]	null	null	null	tests/test_grid_tools.py	kgullikson88/Starfish	965bbf2069854dfd92d795d3f902b6dae74537f9	[ "BSD-3-Clause" ]	null	null	null	tests/test_grid_tools.py	kgullikson88/Starfish	965bbf2069854dfd92d795d3f902b6dae74537f9	[ "BSD-3-Clause" ]	null	null	null	import pytest from StellarSpectra.grid_tools import * import numpy as np from StellarSpectra.spectrum import create_log_lam_grid import StellarSpectra.constants as C class TestRawGridInterface: def setup_class(self): self.rawgrid = RawGridInterface("PHOENIX", {"temp":{5000, 5100, 5200}, "logg":{3.0, 3.5, 4.0}, "Z":{-0.5, 0.0}}) def test_initialize(self): with pytest.raises(KeyError) as e: RawGridInterface("PHOENIX", {"temp":{5000, 5100, 5200}, "logg":{3.0, 3.5, 4.0}, "Z":{-0.5, 0.0}, 'bunnies': {"furry", "happy"}}) print(e.value) def test_check_params(self): self.rawgrid.check_params({"temp":5100, "logg":3.5, "Z":0.0}) def test_check_params_extra(self): with pytest.raises(C.GridError) as e: self.rawgrid.check_params({"temp":5100, "logg":3.5, "bunny":0.0}) print(e.value) def test_check_params_outbouts(self): with pytest.raises(C.GridError) as e: self.rawgrid.check_params({"temp":100, "logg":3.5, "Z":0.0}) print(e.value) class TestPHOENIXGridInterface: def setup_class(self): self.rawgrid = PHOENIXGridInterface() def test_check_params_alpha(self): self.rawgrid.check_params({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.2}) def test_load_file(self): self.rawgrid.load_file({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) #not expected to be on leo, yet within bounds with pytest.raises(C.GridError) as e: self.rawgrid.load_file({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.2}) print(e.value) def test_load_flux(self): fl, header = self.rawgrid.load_flux({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) #print(fl, header) def test_load_alpha(self): self.rawgrid.load_file({"temp":6000, "logg":3.5, "Z":0.0}) self.rawgrid.load_file({"temp":6000, "logg":3.5, "Z":0.0, "alpha":0.0}) def test_load_file_metadata(self): spec = self.rawgrid.load_file({"temp":6000, "logg":3.5, "Z":0.0, "alpha":0.0}) print(spec.metadata) def test_bad_base(self): #Set a different base location, should raise an error because on this machine there is not file. with pytest.raises(C.GridError) as e: PHOENIXGridInterface(air=True, norm=True, base="wrong_base/") print(e.value) def test_no_air(self): grid = PHOENIXGridInterface(air=False) spec = grid.load_file({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) assert spec.metadata['air'] == False def test_no_norm(self): grid = PHOENIXGridInterface(norm=False) spec = grid.load_file({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) assert spec.metadata['norm'] == False class TestKuruczGridInterface: def setup_class(self): self.rawgrid = KuruczGridInterface() def test_init(self): pass def test_check_params_alpha(self): self.rawgrid.check_params({"temp":5000, "logg":3.5, "Z":0.0, "alpha":0.0}) def test_load_flux(self): flux, hdr = self.rawgrid.load_flux({"temp":6000, "logg":3.5, "Z":0.0, "alpha":0.0}) print(flux) assert flux != None #not expected to be on leo, yet still part of the grid with pytest.raises(C.GridError) as e: self.rawgrid.load_flux({"temp":5000, "logg":3.5, "Z":0.0, "alpha":0.0}) print(e.value) def test_load_alpha(self): flux, hdr = self.rawgrid.load_flux({"temp":6000, "logg":3.5, "Z":0.0}) assert flux != None print(flux) def test_bad_base(self): #Set a different base location, should raise an error because on this machine there is not file. with pytest.raises(C.GridError) as e: PHOENIXGridInterface(air=True, norm=True, base="wrong_base/") print(e.value) def test_no_air(self): grid = PHOENIXGridInterface(air=False) spec = grid.load_file({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) assert spec.metadata['air'] == False def test_no_norm(self): grid = PHOENIXGridInterface(norm=False) spec = grid.load_file({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) assert spec.metadata['norm'] == False class TestHDF5Creator: def setup_class(self): import StellarSpectra self.wl_dict = create_log_lam_grid(5000, 6000, min_vc=2/C.c_kms) self.rawgrid = PHOENIXGridInterface() self.HDF5Creator = HDF5GridCreator(self.rawgrid, ranges={"temp":(5000, 5300), "logg":(3.5, 4.5), "Z":(0.0,0.0), "alpha":(0.0, 0.0)}, filename="tests/test.hdf5", wl_dict=self.wl_dict) def test_point_limiter(self): ranges = {"temp":(5000, 5300), "logg":(3.5, 4.5), "Z":(0.0,0.0), "alpha":(0.0, 0.0)} points = self.HDF5Creator.points #Did the creator object appropriately truncate points out of bounds? for key in ranges.keys(): low, high = ranges[key] p = points[key] assert np.all(p >= low) and np.all(p <= high), "Points not truncated properly." def test_process_flux(self): self.HDF5Creator.process_flux({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) #requires four parameters with pytest.raises(AssertionError) as e: self.HDF5Creator.process_flux({"temp":5100, "logg":3.5, "Z":0.0}) print(e.value) #test outside the grid, should be handeled internally self.HDF5Creator.process_flux({"temp":5100, "logg":3.5, "Z":0.0, "alpha":10}) def test_alpha(self): '''Test to make sure that alpha is handled properly, whether specified or not.''' alphaHDF5Creator = HDF5GridCreator(self.rawgrid, ranges={"temp":(5000, 5300), "logg":(3.5, 4.5), "Z":(0.0,0.0)}, filename="test.hdf5", wl_dict=self.wl_dict, chunksize=20) alphaHDF5Creator.process_flux({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) def test_process_grid(self): self.HDF5Creator.process_grid() def test_parallel(self): HDF5Creator = HDF5GridCreator(self.rawgrid, ranges={"temp":(5000, 5300), "logg":(3.5, 4.5), "Z":(0.0,0.0), "alpha":(0.0, 0.0)}, filename="tests/parallel_test.hdf5", wl_dict=self.wl_dict, nprocesses=2) HDF5Creator.process_grid() class TestHDF5Stuffer: def setup_class(self): import StellarSpectra self.rawgrid = PHOENIXGridInterface() self.stuffer = HDF5GridStuffer(self.rawgrid, ranges={"temp":(5000, 5300), "logg":(3.5, 4.5), "Z":(0.0,0.0), "alpha":(0.0, 0.0)}, filename="tests/test.hdf5") def test_point_limiter(self): ranges = {"temp":(5000, 5300), "logg":(3.5, 4.5), "Z":(0.0,0.0), "alpha":(0.0, 0.0)} points = self.stuffer.points #Did the creator object appropriately truncate points out of bounds? for key in ranges.keys(): low, high = ranges[key] p = points[key] assert np.all(p >= low) and np.all(p <= high), "Points not truncated properly." def test_process_flux(self): self.stuffer.process_flux({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) #requires four parameters with pytest.raises(AssertionError) as e: self.stuffer.process_flux({"temp":5100, "logg":3.5, "Z":0.0}) print(e.value) #test outside the grid, should be handeled internally self.stuffer.process_flux({"temp":5100, "logg":3.5, "Z":0.0, "alpha":10}) def test_alpha(self): '''Test to make sure that alpha is handled properly, whether specified or not.''' alphaHDF5Creator = HDF5GridStuffer(self.rawgrid, ranges={"temp":(5000, 5300), "logg":(3.5, 4.5), "Z":(0.0,0.0)}, filename="test.hdf5") alphaHDF5Creator.process_flux({"temp":5100, "logg":3.5, "Z":0.0, "alpha":0.0}) def test_process_grid(self): self.stuffer.process_grid() class TestHDF5StufferKurucz: def setup_class(self): import StellarSpectra self.rawgrid = KuruczGridInterface() self.stuffer = HDF5GridStuffer(self.rawgrid, ranges={"temp":(6000, 6250), "logg":(3.5, 4.5), "Z":(0.0,0.0), "alpha":(0.0, 0.0)}, filename="tests/test.hdf5") def test_point_limiter(self): ranges = {"temp":(6000, 6250), "logg":(3.5, 4.5), "Z":(0.0,0.0), "alpha":(0.0, 0.0)} points = self.stuffer.points #Did the creator object appropriately truncate points out of bounds? for key in ranges.keys(): low, high = ranges[key] p = points[key] assert np.all(p >= low) and np.all(p <= high), "Points not truncated properly." def test_process_flux(self): self.stuffer.process_flux({"temp":6000, "logg":3.5, "Z":0.0, "alpha":0.0}) #requires four parameters with pytest.raises(AssertionError) as e: self.stuffer.process_flux({"temp":6000, "logg":3.5, "Z":0.0}) print(e.value) #test outside the grid, should be handeled internally self.stuffer.process_flux({"temp":5000, "logg":3.5, "Z":0.0, "alpha":10}) def test_process_grid(self): self.stuffer.process_grid() class TestHDF5Interface: def setup_class(self): self.interface = HDF5Interface("../libraries/PHOENIX_submaster.hdf5") #def test_wl(self): # check to see that wl is log-linear spaced #wl = self.interface.wl #vcs = np.diff(wl)/wl[:-1] * C.c_kms #print(vcs) #assert np.allclose(vcs, vcs[0]), "wavelength array is not log-lambda spaced." def test_bounds(self): bounds = self.interface.bounds ranges={"temp":(5000, 7000), "logg":(3.5, 5.5), "Z":(-1.0,0.0), "alpha":(0.0, 0.4)} for key in C.grid_parameters: assert bounds[key] == ranges[key],"Bounds do not match {} != {}".format(bounds[key], ranges[key]) def test_load_file(self): spec = self.interface.load_file({"temp":5100, "logg":4.5, "Z": 0.0, "alpha":0.0}) print(spec) def test_load_bad_file(self): with pytest.raises(KeyError) as e: self.interface.load_file({"temp":4000, "logg":4.5, "Z": 0.0, "alpha":0.0}) print(e.value) def test_load_flux(self): fl = self.interface.load_flux({"temp":5100, "logg":4.5, "Z": 0.0, "alpha":0.0}) #Try loading just a subset self.interface.ind = (10, 20) fl = self.interface.load_flux({"temp":5100, "logg":4.5, "Z": 0.0, "alpha":0.0}) assert len(fl) == 10, "Flux truncation didn't work." class TestIndexInterpolator: def setup_class(self): self.interpolator = IndexInterpolator([6000.,6100.,6200.,6300.,6400.]) def test_interpolate(self): ans = self.interpolator(6010) assert ans == ((6000, 6100), (0.9, 0.1)) def test_interpolate_bounds(self): with pytest.raises(InterpolationError) as e: self.interpolator(5990) print(e.value) def test_on_edge(self): print(self.interpolator(6100.)) class TestInterpolator: def setup_class(self): #It is necessary to use a piece of data created on the super computer so we can test interpolation in 4D self.hdf5interface = HDF5Interface("libraries/PHOENIX_submaster.hdf5") #libraries/PHOENIX_submaster.hd5 should have the following bounds #{"temp":(6000, 7000), "logg":(3.5,5.5), "Z":(-1.0,0.0), "alpha":(0.0,0.4)} self.interpolator = Interpolator(self.hdf5interface, avg_hdr_keys=["air", "PHXLUM", "PHXMXLEN", "PHXLOGG", "PHXDUST", "PHXM_H", "PHXREFF", "PHXXI_L", "PHXXI_M", "PHXXI_N", "PHXALPHA", "PHXMASS", "norm", "PHXVER", "PHXTEFF", "BUNNIES"], cache_max=20, cache_dump=10) def test_quadlinear(self): parameters = {"temp":6010, "logg":4.6, "Z":-0.1, "alpha":0.1} self.interpolator(parameters) #Use IPython and %timeit -n1 -r1 mytest.interpolator({"temp":6010, "logg":5.1, "Z":-0.1, "alpha":-0.1}) #all uncached performance is 3.89 seconds #1/2 uncached performance is 2.37 seconds #Caching all of the values, preformance is 226 ms def test_trilinear(self): hdf5interface = HDF5Interface("libraries/PHOENIX_submaster.hdf5") hdf5interface.bounds['alpha'] = (0.,0.) #manually set alpha range to 0 interpolator = Interpolator(hdf5interface) assert interpolator.parameters == {"temp", "logg", "Z"}, "Trilinear truncation didn't work." parameters = {"temp":6010, "logg":4.6, "Z":-0.1} interpolator(parameters) def test_interpolate_bounds(self): with pytest.raises(InterpolationError) as e: parameters = {"temp":5010, "logg":4.6, "Z":-0.1, "alpha":0.1} new_flux = self.interpolator(parameters) print(e.value) def test_cache_similar(self): temp = np.random.uniform(6000, 6100, size=3) logg = np.random.uniform(3.5, 4.0, size=3) Z = np.random.uniform(-0.5, 0.0, size=2) alpha = np.random.uniform(0.0, 0.2, size=2) names = ["temp", "logg", "Z", "alpha"] param_list = [dict(zip(names,param)) for param in itertools.product(temp, logg, Z, alpha)] for param in param_list: print("Cache length", len(self.interpolator.cache)) self.interpolator(param) def test_cache_purge(self): #create a random scattering of possible values, spread throughout a grid cell temp = np.random.uniform(6000, 7000, size=3) logg = np.random.uniform(3.5, 5.5, size=3) Z = np.random.uniform(-1.0, 0.0, size=3) alpha = np.random.uniform(0.0, 0.4, size=3) names = ["temp", "logg", "Z", "alpha"] param_list = [dict(zip(names,param)) for param in itertools.product(temp, logg, Z, alpha)] #wait for the cache to purge for param in param_list: print("Cache length", len(self.interpolator.cache)) self.interpolator(param) def test_interpolation_quality(self): ''' Interpolate at the grid bounds and do a numpy.allclose() to see if the spectra match the grid edges ''' #Compare to spectra loaded directly from self.hdf5interface parameters = {"temp":6000, "logg":4.5, "Z":0.0, "alpha":0.0} intp_spec = self.interpolator(parameters) raw_spec = self.hdf5interface.load_file(parameters) assert np.allclose(intp_spec.fl, raw_spec.fl) #What about the weird case of interpolating in alpha, but when the grid is irregular? I think this situation #would have to be specified by fixing alpha in the lnprob and only using the alpha=0 grid. class TestModelInterpolator: def setup_class(self): #It is necessary to use a piece of data created on the super computer so we can test interpolation in 4D self.hdf5interface = HDF5Interface("libraries/PHOENIX_submaster.hdf5") #libraries/PHOENIX_submaster.hd5 should have the following bounds #{"temp":(6000, 7000), "logg":(3.5,5.5), "Z":(-1.0,0.0), "alpha":(0.0,0.4)} from StellarSpectra.spectrum import DataSpectrum self.DataSpectrum = DataSpectrum.open("/home/ian/Grad/Research/Disks/StellarSpectra/tests/WASP14/WASP-14_2009-06-15_04h13m57s_cb.spec.flux", orders=np.array([21, 22, 23])) #TODO: test DataSpectrum with different number of orders, and see how it is truncated. self.interpolator = ModelInterpolator(self.hdf5interface, self.DataSpectrum, cache_max=20, cache_dump=10) def test_quadlinear(self): parameters = {"temp":6010, "logg":4.6, "Z":-0.1, "alpha":0.1} self.interpolator(parameters) #Use IPython and %timeit -n1 -r1 mytest.interpolator({"temp":6010, "logg":5.1, "Z":-0.1, "alpha":-0.1}) #all uncached performance is 3.89 seconds #1/2 uncached performance is 2.37 seconds #Caching all of the values, preformance is 226 ms def test_trilinear(self): hdf5interface = HDF5Interface("libraries/PHOENIX_submaster.hdf5") hdf5interface.bounds['alpha'] = (0.,0.) #manually set alpha range to 0 interpolator = ModelInterpolator(hdf5interface, self.DataSpectrum) assert interpolator.parameters == {"temp", "logg", "Z"}, "Trilinear truncation didn't work." parameters = {"temp":6010, "logg":4.6, "Z":-0.1} interpolator(parameters) def test_trilinear_flag(self): hdf5interface = HDF5Interface("libraries/PHOENIX_submaster.hdf5") interpolator = ModelInterpolator(hdf5interface, self.DataSpectrum, trilinear=True) parameters = {"temp":6010, "logg":4.6, "Z":-0.1} interpolator(parameters) def test_interpolate_bounds(self): with pytest.raises(C.InterpolationError) as e: parameters = {"temp":4010, "logg":4.6, "Z":-0.1, "alpha":0.1} new_flux = self.interpolator(parameters) print(e.value) def test_cache_similar(self): temp = np.random.uniform(6000, 6100, size=3) logg = np.random.uniform(3.5, 4.0, size=3) Z = np.random.uniform(-0.5, 0.0, size=2) alpha = np.random.uniform(0.0, 0.2, size=2) names = ["temp", "logg", "Z", "alpha"] param_list = [dict(zip(names,param)) for param in itertools.product(temp, logg, Z, alpha)] for param in param_list: print("Cache length", len(self.interpolator.cache)) self.interpolator(param) def test_cache_purge(self): #create a random scattering of possible values, spread throughout a grid cell temp = np.random.uniform(6000, 7000, size=3) logg = np.random.uniform(3.5, 5.5, size=3) Z = np.random.uniform(-1.0, 0.0, size=3) alpha = np.random.uniform(0.0, 0.4, size=3) names = ["temp", "logg", "Z", "alpha"] param_list = [dict(zip(names,param)) for param in itertools.product(temp, logg, Z, alpha)] #wait for the cache to purge for param in param_list: print("Cache length", len(self.interpolator.cache)) self.interpolator(param) def test_interpolation_quality(self): ''' Interpolate at the grid bounds and do a numpy.allclose() to see if the spectra match the grid edges ''' #Compare to spectra loaded directly from self.hdf5interface parameters = {"temp":6000, "logg":4.5, "Z":0.0, "alpha":0.0} intp_flux = self.interpolator(parameters) raw_flux = self.hdf5interface.load_flux(parameters) assert np.allclose(intp_flux, raw_flux) #def test_index_truncate(self): # parameters = {"temp":6000, "logg":4.5, "Z":0.0, "alpha":0.0} # intp_flux = self.interpolator(parameters) # assert len(intp_flux) % 2 == 0, "flux is not power of 2 in length" class TestInstrument: def test_TRES(self): instrument = TRES() print(instrument) print(instrument.wl_dict) def test_Reticon(self): instrument = Reticon() print(instrument) print(instrument.wl_dict) def test_KPNO(self): instrument = KPNO() print(instrument) print(instrument.wl_dict) class TestMasterToFITSIndividual: def setup_class(self): myHDF5Interface = HDF5Interface("libraries/PHOENIX_submaster.hdf5") myInterpolator = Interpolator(myHDF5Interface, avg_hdr_keys=["air", "PHXLUM", "PHXMXLEN", "PHXLOGG", "PHXDUST", "PHXM_H", "PHXREFF", "PHXXI_L", "PHXXI_M", "PHXXI_N", "PHXALPHA", "PHXMASS", "norm", "PHXVER", "PHXTEFF"]) self.creator = MasterToFITSIndividual(interpolator=myInterpolator, instrument=KPNO()) def test_write_to_FITS(self): params = {"temp":6100, "logg":4.0, "Z":0.0, "vsini":2} self.creator.process_spectrum(params, out_unit="f_nu_log", out_dir="") class TestMasterToFITSGridProcessor: def setup_class(self): test_points={"temp":np.arange(6000, 6301, 100), "logg":np.arange(4.0, 4.6, 0.5), "Z":np.arange(-0.5, 0.1, 0.5), "vsini":np.arange(4,9.,2)} myHDF5Interface = HDF5Interface("libraries/PHOENIX_submaster.hdf5") self.creator = MasterToFITSGridProcessor(interface=myHDF5Interface, instrument=KPNO(), points=test_points, flux_unit="f_lam", outdir="tests/KPNO/", processes=2) def test_param_list(self): print(self.creator.param_list) def test_process_spectrum_vsini(self): params = {"temp":6100, "logg":4.0, "Z":0.0, "alpha":0.0} self.creator.process_spectrum_vsini(params) def test_out_of_interp_range(self): #Will fail silently. self.creator.process_spectrum_vsini({"temp":5000, "logg":4.5, "Z":-4.0}) def test_process_chunk(self): chunk = [{"temp":6100, "logg":4.0, "Z":0.0}, {"temp":6000, "logg":4.0, "Z":0.0}, {"temp":6200, "logg":4.0, "Z":0.0}] self.creator.process_chunk(chunk) def test_f_nu_units(self): test_points={"temp":np.arange(6000, 6301, 100), "logg":np.arange(4.0, 4.6, 0.5), "Z":np.arange(-0.5, 0.1, 0.5), "vsini":np.arange(4,9.,2)} myHDF5Interface = HDF5Interface("libraries/PHOENIX_submaster.hdf5") creator = MasterToFITSGridProcessor(interface=myHDF5Interface, instrument=KPNO(), points=test_points, flux_unit="f_nu", outdir="tests/KPNO/", processes=2) params = {"temp":6100, "logg":4.0, "Z":0.0, "alpha":0.0} creator.process_spectrum_vsini(params) def test_process_all(self): pass #self.creator.process_all()	43.033268	179	0.610323	3,044	21,990	4.320631	0.120237	0.02205	0.011405	0.013382	0.789386	0.748403	0.733653	0.697993	0.682406	0.676475	0.066504	0.235516	21,990	510	180	43.117647	0.715841	0.144429	0.612903	0	0.002933	0.102604	0.022135	0	0	0.001961	0.055718	1	0.214076	false	0.005865	0.026393	0	0.278592	0.087977	0	0	0	null	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	4
074bb01d7dd492fb59a86a0001663892571360a5	83	py	Python	friday/vend/apps.py	Gbane26/FridayNaN	e02b7484cbfa9f3e691325c20afb7113baf05bd1	[ "MIT" ]	null	null	null	friday/vend/apps.py	Gbane26/FridayNaN	e02b7484cbfa9f3e691325c20afb7113baf05bd1	[ "MIT" ]	null	null	null	friday/vend/apps.py	Gbane26/FridayNaN	e02b7484cbfa9f3e691325c20afb7113baf05bd1	[ "MIT" ]	null	null	null	from django.apps import AppConfig class VendConfig(AppConfig): name = 'vend'	13.833333	33	0.73494	10	83	6.1	0.9	0	0	0	0	0	0	0	0	0	0	0.180723	83	5	34	16.6	0.897059	0	0	0	0	0.048193	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	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
074cbb2edf65b3c29fade3df0ff12ffae75c7c21	56	py	Python	code/abc130_a_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	3	2019-08-16T16:55:48.000Z	2021-04-11T10:21:40.000Z	code/abc130_a_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	null	null	null	code/abc130_a_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	null	null	null	X,A=map(int,input().split()) print("0" if X<A else "10")	28	28	0.607143	13	56	2.615385	0.846154	0.117647	0	0	0	0	0	0	0	0	0.058824	0.089286	56	2	29	28	0.607843	0	0	0	0	0.052632	0	0	0	0	0	1	0	true	0	0	0	0	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	4
07637ea6b879f9520914608ef321698547d25b5a	37	py	Python	data/studio21_generated/introductory/3230/starter_code.py	vijaykumawat256/Prompt-Summarization	614f5911e2acd2933440d909de2b4f86653dc214	[ "Apache-2.0" ]	null	null	null	data/studio21_generated/introductory/3230/starter_code.py	vijaykumawat256/Prompt-Summarization	614f5911e2acd2933440d909de2b4f86653dc214	[ "Apache-2.0" ]	null	null	null	data/studio21_generated/introductory/3230/starter_code.py	vijaykumawat256/Prompt-Summarization	614f5911e2acd2933440d909de2b4f86653dc214	[ "Apache-2.0" ]	null	null	null	def the_biggest_search_keys(*keys):	18.5	35	0.810811	6	37	4.5	0.833333	0	0	0	0	0	0	0	0	0	0	0.081081	37	2	36	18.5	0.794118	0	0	0	0	0	0	0	0	0	0	0	null	null	0	0	null	null	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	4
076762f80f657df26fc4b72822edbdce11acb330	127	py	Python	_templates/jinja2/cookiecutter-py/{{cookiecutter.name}}/choices/testfrwk/unittest/tests/__init__.py	thebridge0491/intro_py	c8ef32d8df10fa07a3c7b191474074b2dfd640c3	[ "CECILL-B" ]	null	null	null	_templates/jinja2/cookiecutter-py/{{cookiecutter.name}}/choices/testfrwk/unittest/tests/__init__.py	thebridge0491/intro_py	c8ef32d8df10fa07a3c7b191474074b2dfd640c3	[ "CECILL-B" ]	null	null	null	_templates/jinja2/cookiecutter-py/{{cookiecutter.name}}/choices/testfrwk/unittest/tests/__init__.py	thebridge0491/intro_py	c8ef32d8df10fa07a3c7b191474074b2dfd640c3	[ "CECILL-B" ]	null	null	null	# -- coding: utf-8 -- '''Unit test package for {{cookiecutter.parent}}{{cookiecutter.separator}}{{cookiecutter.project}}.'''	42.333333	102	0.677165	13	127	6.615385	0.846154	0	0	0	0	0	0	0	0	0	0.008547	0.07874	127	2	103	63.5	0.726496	0.937008	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
4ad6e3ce1ff1c12b2aae39016d26b7d14f38300f	94	py	Python	py30.py	afq984/syntaxguard	977916fa664acb393781c0e94e9aa5e925a3e17f	[ "Apache-2.0" ]	1	2020-12-23T03:35:45.000Z	2020-12-23T03:35:45.000Z	py30.py	afq984/syntaxguard	977916fa664acb393781c0e94e9aa5e925a3e17f	[ "Apache-2.0" ]	null	null	null	py30.py	afq984/syntaxguard	977916fa664acb393781c0e94e9aa5e925a3e17f	[ "Apache-2.0" ]	null	null	null	*Please, = 'use Python 3.0 or later' # https://docs.python.org/3/whatsnew/3.0.html#new-syntax	31.333333	56	0.702128	18	94	3.666667	0.777778	0.060606	0	0	0	0	0	0	0	0	0.058824	0.095745	94	2	57	47	0.717647	0.56383	0	0	0	0.605263	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	0	0	1	0	0	0	0	0	1	0	null	0	0	0	0	1	0	0	0	0	0	4
4addd71350083acc46561966f181530a198eabea	314	py	Python	app/wrapper/pynubank_wrapper/utils/__init__.py	brunoanhaia/budget-planner	edb030591fd8425e1e4132f869693bb10b941771	[ "MIT" ]	null	null	null	app/wrapper/pynubank_wrapper/utils/__init__.py	brunoanhaia/budget-planner	edb030591fd8425e1e4132f869693bb10b941771	[ "MIT" ]	2	2022-03-02T14:10:53.000Z	2022-03-17T22:56:25.000Z	app/wrapper/pynubank_wrapper/utils/__init__.py	brunoanhaia/budget-planner	edb030591fd8425e1e4132f869693bb10b941771	[ "MIT" ]	null	null	null	import pathlib import sys sys.path.append(str(pathlib.Path(__file__).parent)) from .cert_generator import run as generate_cert from .config_loader import ConfigLoader from .constants import Constants from .file_helper import FileHelper from .init_config import init_config from .common_utils import planify_array	28.545455	51	0.847134	46	314	5.521739	0.543478	0.07874	0	0	0	0	0	0	0	0	0	0.101911	314	11	52	28.545455	0.900709	0	0	1	0	0	0	0	0	0	0	1	0	true	0	0.888889	0	0.888889	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	1	0	1	0	1	0	4
4adede33383552867a9ca75ef5b527b3057784cc	5,344	py	Python	04-01_get_anymethods_ALL-Lines_SizeIncreaseDecrease_target_count.py	stevenshave/NuclearSizeCheminformatics	e24fceb5340263b7c334507e51182dc28cc1cf9a	[ "MIT" ]	null	null	null	04-01_get_anymethods_ALL-Lines_SizeIncreaseDecrease_target_count.py	stevenshave/NuclearSizeCheminformatics	e24fceb5340263b7c334507e51182dc28cc1cf9a	[ "MIT" ]	null	null	null	04-01_get_anymethods_ALL-Lines_SizeIncreaseDecrease_target_count.py	stevenshave/NuclearSizeCheminformatics	e24fceb5340263b7c334507e51182dc28cc1cf9a	[ "MIT" ]	null	null	null	""" Generate INC target hit-count table Generate a list of commonly hit (in all 4 analysis methods) targets which produce a nuclear size worsening effect. """ import json from pathlib import Path from nss_std_functions import get_cleaned_datasets lookup_plateid_to_htargetname=json.load(open(Path("dat-plateid-to-hithumantargetnames.json"))) s2,s4,s5,s6 =get_cleaned_datasets() # Boilerplate to obtain compounds s2_DEC_compounds_PC3=set([c.replace("Plate","") for c in s2.query('Hit_PC3_6h == "-" or Hit_PC3_36h =="-" ')['Compound'].values]) s4_DEC_compounds_PC3=set([c.replace("Plate","") for c in s4.query('Hit_PC3_6h == "-" or Hit_PC3_36h =="-" ')['Compound'].values]) s5_DEC_compounds_PC3=set([c.replace("Plate","") for c in s5.query('Hit_PC3_6h == "-" or Hit_PC3_36h =="-" ')['Compound'].values]) s6_DEC_compounds_PC3=set([c.replace("Plate","") for c in s6.query('Hit_PC3_6h == "-" or Hit_PC3_36h =="-" ')['Compound'].values]) s2_INC_compounds_PC3=set([c.replace("Plate","") for c in s2.query('Hit_PC3_6h == "+" or Hit_PC3_36h =="+" ')['Compound'].values]) s4_INC_compounds_PC3=set([c.replace("Plate","") for c in s4.query('Hit_PC3_6h == "+" or Hit_PC3_36h =="+" ')['Compound'].values]) s5_INC_compounds_PC3=set([c.replace("Plate","") for c in s5.query('Hit_PC3_6h == "+" or Hit_PC3_36h =="+" ')['Compound'].values]) s6_INC_compounds_PC3=set([c.replace("Plate","") for c in s6.query('Hit_PC3_6h == "+" or Hit_PC3_36h =="+" ')['Compound'].values]) s2_DEC_compounds_HCT116=set([c.replace("Plate","") for c in s2.query('Hit_HCT116_6h == "-" or Hit_HCT116_36h =="-" ')['Compound'].values]) s4_DEC_compounds_HCT116=set([c.replace("Plate","") for c in s4.query('Hit_HCT116_6h == "-" or Hit_HCT116_36h =="-" ')['Compound'].values]) s5_DEC_compounds_HCT116=set([c.replace("Plate","") for c in s5.query('Hit_HCT116_6h == "-" or Hit_HCT116_36h =="-" ')['Compound'].values]) s6_DEC_compounds_HCT116=set([c.replace("Plate","") for c in s6.query('Hit_HCT116_6h == "-" or Hit_HCT116_36h =="-" ')['Compound'].values]) s2_INC_compounds_HCT116=set([c.replace("Plate","") for c in s2.query('Hit_HCT116_6h == "+" or Hit_HCT116_36h =="+" ')['Compound'].values]) s4_INC_compounds_HCT116=set([c.replace("Plate","") for c in s4.query('Hit_HCT116_6h == "+" or Hit_HCT116_36h =="+" ')['Compound'].values]) s5_INC_compounds_HCT116=set([c.replace("Plate","") for c in s5.query('Hit_HCT116_6h == "+" or Hit_HCT116_36h =="+" ')['Compound'].values]) s6_INC_compounds_HCT116=set([c.replace("Plate","") for c in s6.query('Hit_HCT116_6h == "+" or Hit_HCT116_36h =="+" ')['Compound'].values]) s2_DEC_compounds_H1299=set([c.replace("Plate","") for c in s2.query('Hit_H1299_6h == "-" or Hit_H1299_36h =="-" ')['Compound'].values]) s4_DEC_compounds_H1299=set([c.replace("Plate","") for c in s4.query('Hit_H1299_6h == "-" or Hit_H1299_36h =="-" ')['Compound'].values]) s5_DEC_compounds_H1299=set([c.replace("Plate","") for c in s5.query('Hit_H1299_6h == "-" or Hit_H1299_36h =="-" ')['Compound'].values]) s6_DEC_compounds_H1299=set([c.replace("Plate","") for c in s6.query('Hit_H1299_6h == "-" or Hit_H1299_36h =="-" ')['Compound'].values]) s2_INC_compounds_H1299=set([c.replace("Plate","") for c in s2.query('Hit_H1299_6h == "+" or Hit_H1299_36h =="+" ')['Compound'].values]) s4_INC_compounds_H1299=set([c.replace("Plate","") for c in s4.query('Hit_H1299_6h == "+" or Hit_H1299_36h =="+" ')['Compound'].values]) s5_INC_compounds_H1299=set([c.replace("Plate","") for c in s5.query('Hit_H1299_6h == "+" or Hit_H1299_36h =="+" ')['Compound'].values]) s6_INC_compounds_H1299=set([c.replace("Plate","") for c in s6.query('Hit_H1299_6h == "+" or Hit_H1299_36h =="+" ')['Compound'].values]) DEC_cpds=set(s2_DEC_compounds_PC3\|s4_DEC_compounds_PC3\|s5_DEC_compounds_PC3\|s6_DEC_compounds_PC3).intersection( s2_DEC_compounds_HCT116\|s4_DEC_compounds_HCT116\|s5_DEC_compounds_HCT116\|s6_DEC_compounds_HCT116, s2_DEC_compounds_H1299\|s4_DEC_compounds_H1299\|s5_DEC_compounds_H1299\|s6_DEC_compounds_H1299 ) INC_cpds=set(s2_INC_compounds_PC3\|s4_INC_compounds_PC3\|s5_INC_compounds_PC3\|s6_INC_compounds_PC3).intersection( s2_INC_compounds_HCT116\|s4_INC_compounds_HCT116\|s5_INC_compounds_HCT116\|s6_INC_compounds_HCT116, s2_INC_compounds_H1299\|s4_INC_compounds_H1299\|s5_INC_compounds_H1299\|s6_INC_compounds_H1299 ) DEC_targets_list=[] INC_targets_list=[] [DEC_targets_list.extend(lookup_plateid_to_htargetname[pid]) for pid in DEC_cpds if pid in lookup_plateid_to_htargetname.keys()] [INC_targets_list.extend(lookup_plateid_to_htargetname[pid]) for pid in INC_cpds if pid in lookup_plateid_to_htargetname.keys()] counts_of_DEC_targets=sorted([(DEC_targets_list.count(prot),prot) for prot in set(DEC_targets_list)], reverse=True) counts_of_INC_targets=sorted([(INC_targets_list.count(prot),prot) for prot in set(INC_targets_list)], reverse=True) print("DEC") for item in counts_of_DEC_targets: print(f"{item[0]}\t{item[1]}") # Perofrm the output print("INC") for item in counts_of_INC_targets: print(f"{item[0]}\t{item[1]}") print("DEC but not in INC") for item in counts_of_DEC_targets: if item[1] not in set(INC_targets_list): print(f"{item[0]}\t{item[1]}") print("INC but not in DEC") for item in counts_of_INC_targets: if item[1] not in set(INC_targets_list): print(f"{item[0]}\t{item[1]}")	60.727273	139	0.720247	878	5,344	4.038724	0.096811	0.081218	0.07445	0.108291	0.717992	0.714044	0.710096	0.687535	0.671179	0.62775	0.085691	0.09375	5,344	87	140	61.425287	0.6465	0.037987	0.175439	1	0	0.294989	0.007604	0.210526	0	0	0	1	0	false	0	0.052632	0	0.052632	0.140351	0	0	0	null	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	4
4af6175db48effd09ced8e06bfa39449946ff2a6	81	py	Python	biblodui/__init__.py	NatLibFi/bib-lod-ui	939c3749fce0c11451cbd87a75ead3ff70075d5e	[ "Apache-2.0" ]	5	2017-12-06T08:52:35.000Z	2018-03-31T01:52:26.000Z	biblodui/__init__.py	NatLibFi/bib-lod-ui	939c3749fce0c11451cbd87a75ead3ff70075d5e	[ "Apache-2.0" ]	24	2017-11-10T14:51:16.000Z	2018-02-08T15:16:38.000Z	biblodui/__init__.py	NatLibFi/bib-lod-ui	939c3749fce0c11451cbd87a75ead3ff70075d5e	[ "Apache-2.0" ]	null	null	null	from flask import Flask app = Flask(__name__) from biblodui import views, model	16.2	33	0.790123	12	81	5	0.666667	0	0	0	0	0	0	0	0	0	0	0.160494	81	4	34	20.25	0.882353	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
ab01856aa524223203f126cde2de15b41eec8434	196	py	Python	Python3/0371-Sum-of-Two-Integers/soln-1.py	wyaadarsh/LeetCode-Solutions	3719f5cb059eefd66b83eb8ae990652f4b7fd124	[ "MIT" ]	5	2020-07-24T17:48:59.000Z	2020-12-21T05:56:00.000Z	Python3/0371-Sum-of-Two-Integers/soln-1.py	zhangyaqi1989/LeetCode-Solutions	2655a1ffc8678ad1de6c24295071308a18c5dc6e	[ "MIT" ]	null	null	null	Python3/0371-Sum-of-Two-Integers/soln-1.py	zhangyaqi1989/LeetCode-Solutions	2655a1ffc8678ad1de6c24295071308a18c5dc6e	[ "MIT" ]	2	2020-07-24T17:49:01.000Z	2020-08-31T19:57:35.000Z	import statistics class Solution: def getSum(self, a, b): """ :type a: int :type b: int :rtype: int """ return int(statistics.mean((a, b)) * 2)	19.6	47	0.479592	24	196	3.916667	0.625	0.042553	0	0	0	0	0	0	0	0	0.008264	0.382653	196	9	48	21.777778	0.768595	0.188776	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.25	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	0	4
ab504a11b19a7d8dfbaa86a4e17ecdc962a6e53f	158	py	Python	happyml/tools/__init__.py	guiferviz/happyml-py	4252d0cff27461e38da404553772dafbc74f3eaa	[ "BSD-Source-Code" ]	1	2016-08-15T13:27:48.000Z	2016-08-15T13:27:48.000Z	happyml/tools/__init__.py	guiferviz/happyml-py	4252d0cff27461e38da404553772dafbc74f3eaa	[ "BSD-Source-Code" ]	null	null	null	happyml/tools/__init__.py	guiferviz/happyml-py	4252d0cff27461e38da404553772dafbc74f3eaa	[ "BSD-Source-Code" ]	null	null	null	""" Module with useful tools. Some examples of tools are: * Dataset creation using an interactive Matplotlib plot. * Function and gradient visualizer. """	17.555556	56	0.753165	20	158	5.95	0.95	0	0	0	0	0	0	0	0	0	0	0.170886	158	8	57	19.75	0.908397	0.936709	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
db51e3397e8f2cab3f3c6b2075e3176537923504	7,509	py	Python	odps/df/expr/tests/test_math.py	Emersonxuelinux/aliyun-odps-python-sdk	0b38c777711c95ed1775fa67822febf88fc3d642	[ "Apache-2.0" ]	412	2015-11-01T09:27:52.000Z	2022-03-26T05:04:03.000Z	odps/df/expr/tests/test_math.py	Emersonxuelinux/aliyun-odps-python-sdk	0b38c777711c95ed1775fa67822febf88fc3d642	[ "Apache-2.0" ]	168	2015-11-16T09:46:39.000Z	2022-03-17T06:35:26.000Z	odps/df/expr/tests/test_math.py	Emersonxuelinux/aliyun-odps-python-sdk	0b38c777711c95ed1775fa67822febf88fc3d642	[ "Apache-2.0" ]	103	2015-12-01T08:10:09.000Z	2022-02-21T12:46:35.000Z	#!/usr/bin/env python # -- coding: utf-8 -- # Copyright 1999-2017 Alibaba Group Holding Ltd. # # 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 in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from odps.tests.core import TestBase from odps.compat import unittest from odps.models import Schema from odps.df.types import validate_data_type from odps.df.expr.tests.core import MockTable from odps.df.expr.math import * class Test(TestBase): def setup(self): datatypes = lambda *types: [validate_data_type(t) for t in types] schema = Schema.from_lists(['name', 'id', 'fid', 'isMale', 'scale', 'birth'], datatypes('string', 'int64', 'float64', 'boolean', 'decimal', 'datetime')) table = MockTable(name='pyodps_test_expr_table', schema=schema) self.expr = CollectionExpr(_source_data=table, _schema=schema) # def testCacheNode(self): # self.assertIs(self.expr.fid.abs(), self.expr.fid.abs()) # self.assertIs(self.expr.id.log(2), self.expr.id.log(2)) def testMath(self): self.assertRaises(AttributeError, lambda: self.expr.name.sin()) self.assertRaises(AttributeError, lambda: self.expr.isMale.cos()) self.assertRaises(AttributeError, lambda: self.expr.birth.tan()) self.assertIsInstance(self.expr.fid.abs(), Abs) self.assertIsInstance(self.expr.fid.abs(), Float64SequenceExpr) self.assertIsInstance(self.expr.fid.sum().abs(), Float64Scalar) self.assertIsInstance(self.expr.id.sqrt(), Sqrt) self.assertIsInstance(self.expr.id.sqrt(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.sum().sqrt(), DecimalScalar) self.assertIsInstance(self.expr.id.sqrt(), Sqrt) self.assertIsInstance(self.expr.id.sqrt(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.sum().sqrt(), DecimalScalar) self.assertIsInstance(self.expr.id.sin(), Sin) self.assertIsInstance(self.expr.id.sin(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().sin(), DecimalScalar) self.assertIsInstance(self.expr.id.sinh(), Sinh) self.assertIsInstance(self.expr.id.sinh(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().sinh(), DecimalScalar) self.assertIsInstance(self.expr.id.cos(), Cos) self.assertIsInstance(self.expr.id.cos(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().cos(), DecimalScalar) self.assertIsInstance(self.expr.id.cosh(), Cosh) self.assertIsInstance(self.expr.id.cosh(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().cosh(), DecimalScalar) self.assertIsInstance(self.expr.id.tan(), Tan) self.assertIsInstance(self.expr.id.tan(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().tan(), DecimalScalar) self.assertIsInstance(self.expr.id.tanh(), Tanh) self.assertIsInstance(self.expr.id.tanh(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().tanh(), DecimalScalar) self.assertIsInstance(self.expr.id.exp(), Exp) self.assertIsInstance(self.expr.id.exp(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().exp(), DecimalScalar) self.assertIsInstance(self.expr.id.expm1(), Expm1) self.assertIsInstance(self.expr.id.expm1(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().expm1(), DecimalScalar) self.assertIsInstance(self.expr.id.log(), Log) self.assertIsInstance(self.expr.id.log(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().log(), DecimalScalar) self.assertIsInstance(self.expr.id.log(2), Log) self.assertIsInstance(self.expr.id.log(2), Float64SequenceExpr) self.assertEqual(self.expr.id.log(2)._base, 2) self.assertIsInstance(self.expr.scale.max().log(2), DecimalScalar) self.assertIsInstance(self.expr.id.log10(), Log10) self.assertIsInstance(self.expr.id.log10(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().log10(), DecimalScalar) self.assertIsInstance(self.expr.id.log1p(), Log1p) self.assertIsInstance(self.expr.id.log1p(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().log1p(), DecimalScalar) self.assertIsInstance(self.expr.id.arccos(), Arccos) self.assertIsInstance(self.expr.id.arccos(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().arccos(), DecimalScalar) self.assertIsInstance(self.expr.id.arccosh(), Arccosh) self.assertIsInstance(self.expr.id.arccosh(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().arccosh(), DecimalScalar) self.assertIsInstance(self.expr.id.arcsin(), Arcsin) self.assertIsInstance(self.expr.id.arcsin(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().arcsin(), DecimalScalar) self.assertIsInstance(self.expr.id.arcsinh(), Arcsinh) self.assertIsInstance(self.expr.id.arcsin(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().arcsin(), DecimalScalar) self.assertIsInstance(self.expr.id.arctan(), Arctan) self.assertIsInstance(self.expr.id.arctan(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().arctan(), DecimalScalar) self.assertIsInstance(self.expr.id.arctanh(), Arctanh) self.assertIsInstance(self.expr.id.sin(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().sin(), DecimalScalar) self.assertIsInstance(self.expr.id.radians(), Radians) self.assertIsInstance(self.expr.id.radians(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().radians(), DecimalScalar) self.assertIsInstance(self.expr.id.degrees(), Degrees) self.assertIsInstance(self.expr.id.degrees(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().degrees(), DecimalScalar) self.assertIsInstance(self.expr.fid.ceil(), Ceil) self.assertIsInstance(self.expr.fid.ceil(), Int64SequenceExpr) self.assertIsInstance(self.expr.scale.max().ceil(), Int64Scalar) self.assertIsInstance(self.expr.fid.floor(), Floor) self.assertIsInstance(self.expr.fid.floor(), Int64SequenceExpr) self.assertIsInstance(self.expr.scale.max().floor(), Int64Scalar) self.assertIsInstance(self.expr.id.trunc(), Trunc) self.assertIsInstance(self.expr.id.trunc(), Float64SequenceExpr) self.assertIsInstance(self.expr.scale.max().trunc(), DecimalScalar) self.assertIsInstance(self.expr.id.trunc(2), Trunc) self.assertIsInstance(self.expr.id.trunc(2), Float64SequenceExpr) self.assertEqual(self.expr.id.trunc(2)._decimals, 2) self.assertIsInstance(self.expr.scale.max().trunc(2), DecimalScalar) if __name__ == '__main__': unittest.main()	48.134615	109	0.703423	864	7,509	6.08912	0.18287	0.138377	0.369512	0.431097	0.758411	0.727808	0.43965	0.164607	0.164607	0.164607	0.016601	0.157677	7,509	156	110	48.134615	0.815178	0.101212	0.137255	0	0	0.014112	0.003268	0	0	0	0.843137	1	0.019608	false	0	0.058824	0	0.088235	0	0	0	0	null	0	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	4
db83630b863de668edf29f8b5197e3aaa8c1f6c4	322	py	Python	thinkpython_allen_downey/exercise_2_2.py	alirkaya/programming-textbook-solutions	7362dce474b8a881d654f95604e09d1d0e76aec2	[ "MIT" ]	null	null	null	thinkpython_allen_downey/exercise_2_2.py	alirkaya/programming-textbook-solutions	7362dce474b8a881d654f95604e09d1d0e76aec2	[ "MIT" ]	null	null	null	thinkpython_allen_downey/exercise_2_2.py	alirkaya/programming-textbook-solutions	7362dce474b8a881d654f95604e09d1d0e76aec2	[ "MIT" ]	null	null	null	width = 17 height = 12.0 delimiter = '.' l_format = '{:<6} -> ' print(l_format.format(width/2), type(width/2)) print(l_format.format(width/2.0), type(width/2.0)) print(l_format.format(height/3), type(height/3)) print(l_format.format(1 + 2 * 5), type(1 + 2 * 5)) print(l_format.format(delimiter * 5), type(delimiter * 5))	29.272727	58	0.667702	58	322	3.603448	0.258621	0.200957	0.287081	0.430622	0.229665	0.229665	0	0	0	0	0.077193	0.114907	322	10	59	32.2	0.65614	0	0	0	0	0.031056	0	0	0	0	0	1	0	false	0	0	0	0	0.555556	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	4
dba9a822dab0db14ac8288f7095dd0018fd00bc7	2,750	py	Python	DailyProgrammer/DP20160711A.py	DayGitH/Python-Challenges	bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf	[ "MIT" ]	2	2020-12-23T18:59:22.000Z	2021-04-14T13:16:09.000Z	DailyProgrammer/DP20160711A.py	DayGitH/Python-Challenges	bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf	[ "MIT" ]	null	null	null	DailyProgrammer/DP20160711A.py	DayGitH/Python-Challenges	bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf	[ "MIT" ]	null	null	null	""" [2016-07-11] Challenge #275 [Easy] Splurthian Chemistry 101 https://www.reddit.com/r/dailyprogrammer/comments/4savyr/20160711_challenge_275_easy_splurthian_chemistry/ # Description The inhabitants of the planet Splurth are building their own [periodic table of the elements](https://en.wikipedia.org/wiki/Periodic_table#Overview). Just like Earth's periodic table has a chemical symbol for each element (`H` for Hydrogen, `Li` for Lithium, etc.), so does Splurth's. However, their chemical symbols must follow certain rules: 1. All chemical symbols must be exactly two letters, so `B` is not a valid symbol for Boron. 2. Both letters in the symbol must appear in the element name, but the first letter of the element name does not necessarily need to appear in the symbol. So `Hg` is not valid for Mercury, but `Cy` is. 3. The two letters must appear in order in the element name. So `Vr` is valid for Silver, but `Rv` is not. To be clear, both `Ma` and `Am` are valid for Magnesium, because there is both an `a` that appears after an `m`, and an `m` that appears after an `a`. 4. If the two letters in the symbol are the same, it must appear twice in the element name. So `Nn` is valid for Xenon, but `Xx` and `Oo` are not. As a member of the Splurth Council of Atoms and Atom-Related Paraphernalia, you must determine whether a proposed chemical symbol fits these rules. # Details Write a function that, given two strings, one an element name and one a proposed symbol for that element, determines whether the symbol follows the rules. If you like, you may parse the program's input and output the result, but this is not necessary. The symbol will have exactly two letters. Both element name and symbol will contain only the letters a-z. Both the element name and the symbol will have their first letter capitalized, with the rest lowercase. (If you find that too challenging, it's okay to instead assume that both will be completely lowercase.) # Examples Spenglerium, Ee -> true Zeddemorium, Zr -> true Venkmine, Kn -> true Stantzon, Zt -> false Melintzum, Nn -> false Tullium, Ty -> false # Optional bonus challenges 1. Given an element name, find the valid symbol for that name that's first in alphabetical order. E.g. `Gozerium -> Ei`, `Slimyrine -> Ie`. 2. Given an element name, find the number of distinct valid symbols for that name. E.g. `Zuulon -> 11`. 3. The planet Blurth has similar symbol rules to Splurth, but symbols can be any length, from 1 character to the entire length of the element name. Valid Blurthian symbols for `Zuulon` include `N`, `Uuo`, and `Zuuln`. Complete challenge #2 for the rules of Blurth. E.g. `Zuulon -> 47`. """ def main(): pass if __name__ == "__main__": main()	53.921569	119	0.749091	464	2,750	4.409483	0.43319	0.053763	0.041056	0.02346	0.076246	0.024438	0	0	0	0	0.017226	0.176727	2,750	50	120	55	0.886484	0.973818	0	0	0	0.125	0	0	0	0	0	1	0.25	true	0.25	0	0	0.25	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	1	1	1	0	0	0	0	4
916dd97688fae054d571c531756ef3ca246d3466	88	py	Python	config/fb_secret.py	SpaceAppsXploration/semantic-data-chronos	f7908f50892781154d623f46303812e88fdecb57	[ "Apache-2.0" ]	1	2017-06-15T17:51:19.000Z	2017-06-15T17:51:19.000Z	config/fb_secret.py	SpaceAppsXploration/semantic-data-chronos	f7908f50892781154d623f46303812e88fdecb57	[ "Apache-2.0" ]	null	null	null	config/fb_secret.py	SpaceAppsXploration/semantic-data-chronos	f7908f50892781154d623f46303812e88fdecb57	[ "Apache-2.0" ]	null	null	null	__author__ = 'Lorenzo' fb_appid = 0000000000000000 fb_secret = '*********************'	17.6	35	0.568182	7	88	6.285714	0.857143	0	0	0	0	0	0	0	0	0	0.205128	0.113636	88	4	36	22	0.358974	0	0	0	0	0.318182	0.238636	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
9178456374a77de4dbdfaad72aee6ae3fe5eeae7	104	py	Python	src/run.py	ytyaru/Python.Hatena.Fotolife.Client.20211009104818	83b0229bad7e4e33326444203ea06e383e0bed83	[ "CC0-1.0" ]	null	null	null	src/run.py	ytyaru/Python.Hatena.Fotolife.Client.20211009104818	83b0229bad7e4e33326444203ea06e383e0bed83	[ "CC0-1.0" ]	null	null	null	src/run.py	ytyaru/Python.Hatena.Fotolife.Client.20211009104818	83b0229bad7e4e33326444203ea06e383e0bed83	[ "CC0-1.0" ]	null	null	null	#!/usr/bin/env python3 # coding: utf8 from cli import CLI if __name__ == '__main__': CLI().parse()	14.857143	26	0.653846	15	104	4	0.866667	0	0	0	0	0	0	0	0	0	0.023529	0.182692	104	6	27	17.333333	0.682353	0.326923	0	0	0	0.119403	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
9194b187d054afd499eb309042be2a2deecdce79	247	py	Python	chemflow/jobs/apps.py	donadef/django-test	70479458833045fa6476aaf93c3f62cc1ad26df4	[ "MIT" ]	null	null	null	chemflow/jobs/apps.py	donadef/django-test	70479458833045fa6476aaf93c3f62cc1ad26df4	[ "MIT" ]	2	2019-01-31T11:15:36.000Z	2019-01-31T11:19:32.000Z	chemflow/jobs/apps.py	donadef/django-test	70479458833045fa6476aaf93c3f62cc1ad26df4	[ "MIT" ]	null	null	null	from django.apps import AppConfig class JobsAppConfig(AppConfig): name = "chemflow.jobs" verbose_name = "Jobs" def ready(self): try: import jobs.signals # noqa F401 except ImportError: pass	17.642857	44	0.603239	26	247	5.692308	0.807692	0	0	0	0	0	0	0	0	0	0.017964	0.323887	247	13	45	19	0.868263	0.036437	0	0	0	0.072034	0	0	0	0	0	1	0.111111	false	0.111111	0.333333	0	0.777778	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	0	1	0	4
91a48daa32c4c1e450f3462bf1c55a4c51616228	485	py	Python	tools/pot/openvino/tools/pot/samplers/index_sampler.py	pazamelin/openvino	b7e8ef910d7ed8e52326d14dc6fd53b71d16ed48	[ "Apache-2.0" ]	2,406	2020-04-22T15:47:54.000Z	2022-03-31T10:27:37.000Z	tools/pot/openvino/tools/pot/samplers/index_sampler.py	thomas-yanxin/openvino	031e998a15ec738c64cc2379d7f30fb73087c272	[ "Apache-2.0" ]	4,948	2020-04-22T15:12:39.000Z	2022-03-31T18:45:42.000Z	tools/pot/openvino/tools/pot/samplers/index_sampler.py	thomas-yanxin/openvino	031e998a15ec738c64cc2379d7f30fb73087c272	[ "Apache-2.0" ]	991	2020-04-23T18:21:09.000Z	2022-03-31T18:40:57.000Z	# Copyright (C) 2020-2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from openvino.tools.pot.samplers.sampler import Sampler class IndexSampler(Sampler): def __init__(self, subset_indices): super().__init__(subset_indices=subset_indices) def __len__(self): return self.num_samples def __iter__(self): for idx in self._subset_indices: yield idx def __getitem__(self, idx): return self._subset_indices[idx]	23.095238	55	0.698969	61	485	5.098361	0.606557	0.209003	0.163987	0	0	0	0	0	0	0	0.026178	0.212371	485	20	56	24.25	0.787958	0.158763	0	0	0	0	0	0	0	0	0	1	0.363636	false	0	0.090909	0.181818	0.727273	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	4
91a64de1f0e82086ddd9408d868389fde042495f	50	py	Python	scripts/setup.py	jgkawell/feedback_cclfd	e4214b0244ef4f3730db54f892ef93570e5db1c6	[ "MIT" ]	1	2020-01-16T16:50:43.000Z	2020-01-16T16:50:43.000Z	scripts/setup.py	jgkawell/feedback_cclfd	e4214b0244ef4f3730db54f892ef93570e5db1c6	[ "MIT" ]	1	2019-12-03T14:36:51.000Z	2019-12-03T14:36:51.000Z	scripts/setup.py	jgkawell/feedback_cclfd	e4214b0244ef4f3730db54f892ef93570e5db1c6	[ "MIT" ]	null	null	null	import nltk nltk.download("wordnet", quiet=True)	12.5	36	0.76	7	50	5.428571	0.857143	0	0	0	0	0	0	0	0	0	0	0.1	50	3	37	16.666667	0.844444	0	0	0	0	0.14	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
91ad80834c95f65ca18c0db444fc9de4f60e0783	286	py	Python	src/corpus/audible.py	tiefenauer/forced-alignment	39fa08e78d4fc2a85fda81b31a320e1b0d2578f0	[ "MIT" ]	8	2019-03-10T23:22:25.000Z	2021-12-03T09:30:31.000Z	src/corpus/audible.py	tiefenauer/forced-alignment	39fa08e78d4fc2a85fda81b31a320e1b0d2578f0	[ "MIT" ]	null	null	null	src/corpus/audible.py	tiefenauer/forced-alignment	39fa08e78d4fc2a85fda81b31a320e1b0d2578f0	[ "MIT" ]	1	2019-04-10T05:42:14.000Z	2019-04-10T05:42:14.000Z	from abc import ABC, abstractmethod class Audible(ABC): """ Base class for corpus objects containing an audio signal """ @property @abstractmethod def audio(self): return None @property @abstractmethod def rate(self): return None	15.888889	60	0.629371	31	286	5.806452	0.645161	0.244444	0.277778	0	0	0	0	0	0	0	0	0.300699	286	17	61	16.823529	0.9	0.195804	0.6	0	0	0	0	0	0	0	0	1	0.2	false	0	0.1	0.2	0.6	0	0	0	0	null	1	1	0	0	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	4
91c709b805b28d941129520ed9a6e112c772d6c9	183	py	Python	src/campaigns/apps.py	mrts/foodbank-campaign	fbb059f3ebe44dccde4895964242b105421a69d1	[ "MIT" ]	1	2021-03-20T10:14:21.000Z	2021-03-20T10:14:21.000Z	src/campaigns/apps.py	mrts/foodbank-campaign	fbb059f3ebe44dccde4895964242b105421a69d1	[ "MIT" ]	4	2018-03-24T21:49:02.000Z	2021-01-13T21:31:44.000Z	src/campaigns/apps.py	mrts/foodbank-campaign	fbb059f3ebe44dccde4895964242b105421a69d1	[ "MIT" ]	3	2018-04-15T16:34:46.000Z	2019-11-13T16:38:05.000Z	from django.apps import AppConfig from django.utils.translation import ugettext_lazy as _ class CampaignsConfig(AppConfig): name = 'campaigns' verbose_name = _('Campaigns')	22.875	55	0.770492	21	183	6.52381	0.714286	0.145985	0	0	0	0	0	0	0	0	0	0.153005	183	7	56	26.142857	0.883871	0	0	0	0	0.098361	0	0	0	0	0	1	0	false	0	0.4	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
91da903300afe3fb46c6ea2c66ccd55d4e95025b	22	py	Python	cellpack/mgl_tools/Support/version.py	mesoscope/cellpack	ec6b736fc706c1fae16392befa814b5337a3a692	[ "MIT" ]	4	2020-08-27T02:13:07.000Z	2022-01-05T21:51:00.000Z	cellpack/mgl_tools/Support/version.py	mesoscope/cellpack	ec6b736fc706c1fae16392befa814b5337a3a692	[ "MIT" ]	21	2021-10-02T00:07:05.000Z	2022-03-30T00:02:10.000Z	cellpack/mgl_tools/Support/version.py	mesoscope/cellpack	ec6b736fc706c1fae16392befa814b5337a3a692	[ "MIT" ]	1	2020-05-21T05:15:33.000Z	2020-05-21T05:15:33.000Z	__version__ = "1.5.7"	11	21	0.636364	4	22	2.5	1	0	0	0	0	0	0	0	0	0	0.157895	0.136364	22	1	22	22	0.368421	0	0	0	0	0.227273	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	0	0	1	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
37f4ea3f19535a043026a72cef18a055def616bc	368	py	Python	packages/pyright-internal/src/tests/samples/typeAlias2.py	sasano8/pyright	e804f324ee5dbd25fd37a258791b3fd944addecd	[ "MIT" ]	4,391	2019-05-07T01:18:57.000Z	2022-03-31T20:45:44.000Z	packages/pyright-internal/src/tests/samples/typeAlias2.py	sasano8/pyright	e804f324ee5dbd25fd37a258791b3fd944addecd	[ "MIT" ]	2,740	2019-05-07T03:29:30.000Z	2022-03-31T12:57:46.000Z	packages/pyright-internal/src/tests/samples/typeAlias2.py	sasano8/pyright	e804f324ee5dbd25fd37a258791b3fd944addecd	[ "MIT" ]	455	2019-05-07T12:55:14.000Z	2022-03-31T17:09:15.000Z	# This sample tests that forward references to type aliases work. from typing import Dict, Any, Union class Base: @staticmethod def create(data: Dict[str, Any]) -> "Mix": return A() class A(Base): pass class B(Base): pass Mix = Union[A, B] class S: @staticmethod def create(data: Dict[str, Any]) -> "Mix": return A()	13.62963	65	0.608696	52	368	4.307692	0.557692	0.133929	0.1875	0.223214	0.401786	0.401786	0.401786	0.401786	0.401786	0.401786	0	0.271739	368	26	66	14.153846	0.835821	0.171196	0.571429	0	0	0.019802	0	0	0	0	0	1	0.142857	false	0.142857	0.071429	0.142857	0.642857	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	4
530ea8580b9a013a1c12fa6ab7edb2b746e7fa81	747	py	Python	examples/example01/data/function.py	FuchsTom/ProdSim	1cd868de7f8f31139487eb3da4bd23800abac0e4	[ "MIT" ]	2	2021-12-28T19:34:37.000Z	2022-02-23T20:35:25.000Z	examples/example01/data/function.py	FuchsTom/ProdSim	1cd868de7f8f31139487eb3da4bd23800abac0e4	[ "MIT" ]	null	null	null	examples/example01/data/function.py	FuchsTom/ProdSim	1cd868de7f8f31139487eb3da4bd23800abac0e4	[ "MIT" ]	1	2021-11-23T14:01:34.000Z	2021-11-23T14:01:34.000Z	# ---- sources ------------------------ def source_1(env, factory): yield env.timeout(1) yield 1 def source_2(env, factory): yield env.timeout(1) yield 2 # ---- sinks -------------------------- # ---- process functions -------------- def assemble_gb(env, item, machine, factory): yield env.timeout(1) def quality_check(env, item, machine, factory): yield env.timeout(1) def assemble_gs(env, item, machine, factory): yield env.timeout(1) def heating(env, item, machine, factory): yield env.timeout(1) def turning(env, item, machine, factory): yield env.timeout(1) # ---- global functions --------------- def glob_func_1(env, factory): yield env.timeout(1) # ---- distributions ------------------	20.75	47	0.576975	92	747	4.608696	0.271739	0.226415	0.283019	0.415094	0.676887	0.676887	0.676887	0.464623	0.377358	0	0.021002	0.171352	747	35	48	21.342857	0.663974	0.253012	0.444444	0	0	0	0	0	0	0	0	1	0.444444	false	0	0	0	0.444444	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	4
5333d8e7565a534c9d2074efbda17f364ae2f9e0	96	py	Python	google_maps/apps.py	OSAMAMOHAMED1234/google_maps_api_django	38e5fd202f36df98c68e1b975bce553fab6e1c91	[ "MIT" ]	1	2020-05-24T12:18:28.000Z	2020-05-24T12:18:28.000Z	google_maps/apps.py	osama-mohamed/google_maps_api_django	38e5fd202f36df98c68e1b975bce553fab6e1c91	[ "MIT" ]	null	null	null	google_maps/apps.py	osama-mohamed/google_maps_api_django	38e5fd202f36df98c68e1b975bce553fab6e1c91	[ "MIT" ]	null	null	null	from django.apps import AppConfig class GoogleMapsConfig(AppConfig): name = 'google_maps'	16	34	0.770833	11	96	6.636364	0.909091	0	0	0	0	0	0	0	0	0	0	0.15625	96	5	35	19.2	0.901235	0	0	0	0	0.114583	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	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
535740ab81ce24f205675a0108e34421f0e600f6	6,985	py	Python	cogs/mod.py	coltongit/discord-bot	23c6b6b9f2d59ae23ed561cb231df6d02a77e59c	[ "MIT" ]	null	null	null	cogs/mod.py	coltongit/discord-bot	23c6b6b9f2d59ae23ed561cb231df6d02a77e59c	[ "MIT" ]	null	null	null	cogs/mod.py	coltongit/discord-bot	23c6b6b9f2d59ae23ed561cb231df6d02a77e59c	[ "MIT" ]	null	null	null	import discord from discord.ext import commands import asyncio class Mod(): def __init__(self, bot): self.bot = bot @commands.command() @commands.has_permissions(kick_members=True) async def kick(self, ctx, user, , reason=None): mod_log = await self.bot.db.config.find_one({"_id": ctx.guild.id}) if user.startswith("<@") and user.endswith(">"): user = ctx.guild.get_member(int(user.lstrip("<@").strip(">"))) else: user = ctx.guild.get_member(int(user)) try: await user.kick(reason=reason) except discord.Forbidden(): await ctx.send("I don't have the proper permissios to kick this member") await ctx.send(f"{user} was kicked") if mod_log["mod_log"]: channel = self.bot.get_channel(mod_log["mod_log"]) embed = discord.Embed(title="Member kicked!", color=discord.Color.red(), description=f"{user} was kicked by {ctx.author}") embed.add_field(name="Reason", value=reason) embed.set_image(url=user.avatar_url) await channel.send(embed=embed) @commands.command() @commands.has_permissions(ban_members=True) async def ban(self, ctx, user, , reason=None): mod_log = await self.bot.db.config.find_one({"_id": ctx.guild.id}) if user.startswith("<@") and user.endswith(">"): user = ctx.guild.get_member(int(user.lstrip("<@").strip(">"))) else: user = ctx.guild.get_member(int(user)) try: await user.ban(reason=reason) except discord.Forbidden(): await ctx.send("I don't have the proper permissions to ban this member") await ctx.send(f"{user} was banned") if mod_log["mod_log"]: channel = self.bot.get_channel(mod_log["mod_log"]) embed = discord.Embed(title="Member banned!", color=discord.Color.red(), description=f"{user} was banned by {ctx.author}") embed.add_field(name="Reason", value=reason) embed.set_image(url=user.avatar_url) await channel.send(embed=embed) @commands.command() @commands.has_permissions(kick_members=True) async def warn(self, ctx, user, , reason): mod_log = await self.bot.db.config.find_one({"_id": ctx.guild.id}) if user.startswith("<@") and user.endswith(">"): user = ctx.guild.get_member(int(user.lstrip("<@").strip(">"))) else: user = ctx.guild.get_member(int(user)) warns = await self.bot.db.warns.find_one({"_id": user.id}) if not warns: await self.bot.db.warns.insert_one({"_id": user.id}) warns = [reason] else: warns = warns["warnings"] warns.append(reason) await self.bot.db.warns.update_one({"_id": user.id}, {"$set": {"warnings": warns}}) await ctx.send(f"{user} was warned for {reason}") if mod_log["mod_log"]: channel = self.bot.get_channel(mod_log["mod_log"]) embed = discord.Embed(title="Member warned!", color=discord.Color.red(), description=f"{user} was warned by {ctx.author}") embed.add_field(name="Warning #", value=len(warns)) embed.add_field(name="Reason", value=reason) embed.set_image(url=user.avatar_url) await channel.send(embed=embed) @commands.command() @commands.has_permissions(kick_members=True) async def warnings(self, ctx, user): if user.startswith("<@") and user.endswith(">"): user = ctx.guild.get_member(int(user.lstrip("<@").strip(">"))) else: user = ctx.guild.get_member(int(user)) warns = await self.bot.db.warns.find_one({"_id": user.id}) if not warns: await ctx.send("This user has no warnings :D") else: embed = discord.Embed(title=f"{user}'s warnings", color=discord.Color.red(), description=", ".join(warns["warnings"])) embed.add_field(name="Total Warnings", value=len(warns["warnings"])) embed.set_image(url=user.avatar_url) await ctx.send(embed=embed) @commands.command() @commands.has_permissions(kick_members=True) async def remove_warn(self, ctx, user, , warning): if user.startswith("<@") and user.endswith(">"): user = ctx.guild.get_member(int(user.lstrip("<@").strip(">"))) else: user = ctx.guild.get_member(int(user)) warns = await self.bot.db.warns.find_one({"_id": user.id}) if not warns: await ctx.send("This user has no warnings to remove") else: warns = warns["warnings"] if warning in warns: warns.remove(warning) await self.bot.db.warns.update_one({"_id": user.id}, {"$set": {"warnings": warns}}) await ctx.send(f"Succesfully removed the warning from {user}") else: await ctx.send("That user has never been warned for that") @commands.command() @commands.has_permissions(manage_messages=True) async def purge(self, ctx, num: int): try: await ctx.message.delete() await ctx.channel.purge(limit=num) resp = await ctx.send(f"Succesfully deleted {num} messages.") await asyncio.sleep(5) await resp.delete() except discord.Forbidden(): await ctx.send("I don't have the proper permissions to delete messages.") @commands.command() @commands.has_permissions(kick_members=True) async def mute(self, ctx, user, time, , reason): mod_log = await self.bot.db.config.find_one({"_id": ctx.guild.id}) if user.startswith("<@") and user.endswith(">"): user = ctx.guild.get_member(int(user.lstrip("<@").strip(">"))) else: user = ctx.guild.get_member(int(user)) try: await ctx.send(f'{user} has been muted') if mod_log["mod_log"]: channel = self.bot.get_channel(mod_log["mod_log"]) embed = discord.Embed(title="Member muted!", color=discord.Color.red(), description=f"{user} was muted by {ctx.author}") embed.add_field(name="Length", value=time) embed.add_field(name="Reason", value=reason) embed.set_image(url=user.avatar_url) await channel.send(embed=embed) for channel in ctx.guild.channels: overwrite = discord.PermissionOverwrite() overwrite.send_messages = False await channel.set_permissions(user, overwrite=overwrite) if str(time) != "infinite": time = int(time) 60 await asyncio.sleep(time) await ctx.invoke(self.bot.get_command("unmute"), user=str(user.id), reason="Time Expired") except discord.Forbidden: await ctx.send("I don't have the proper permissions to delete this user.") @commands.command() @commands.has_permissions(kick_members=True) async def unmute(self, ctx, user, *, reason): mod_log = await self.bot.db.config.find_one({"_id": ctx.guild.id}) if user.startswith("<@") and user.endswith(">"): user = ctx.guild.get_member(int(user.lstrip("<@").strip(">"))) else: user = ctx.guild.get_member(int(user)) try: for channel in ctx.guild.channels: await channel.set_permissions(user, overwrite=None) await ctx.send(f'{user} has been unmuted') except discord.Forbidden: await ctx.send("I don't have the proper permissions to delete this user.") if mod_log["mod_log"]: channel = self.bot.get_channel(mod_log["mod_log"]) embed = discord.Embed(title="Member unmuted!", color=discord.Color.red(), description=f"{user} was unmuted") embed.add_field(name="Reason", value=reason) embed.set_image(url=user.avatar_url) await channel.send(embed=embed) def setup(bot): bot.add_cog(Mod(bot))	39.022346	125	0.693629	1,044	6,985	4.533525	0.12069	0.031692	0.040566	0.044369	0.77921	0.757448	0.724699	0.703782	0.642721	0.642721	0.000497	0.136435	6,985	179	126	39.022346	0.784151	0	0.627329	0	0	0.156885	0	0	0	0	0	1	0.012422	false	0	0.018634	0	0.037267	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
5364ae558943ceb170c78a11cc7d048ead8bd8b2	58	py	Python	testdata/class_with_private_method.py	maet3608/splint	2b8b7277bcc752a6005bde275c0f3d28d9d847b0	[ "Apache-2.0" ]	3	2019-09-18T23:12:08.000Z	2020-05-21T00:55:29.000Z	testdata/class_with_private_method.py	maet3608/splint	2b8b7277bcc752a6005bde275c0f3d28d9d847b0	[ "Apache-2.0" ]	null	null	null	testdata/class_with_private_method.py	maet3608/splint	2b8b7277bcc752a6005bde275c0f3d28d9d847b0	[ "Apache-2.0" ]	null	null	null	class Foo: def _add(self, a, b): return a + b	14.5	25	0.5	10	58	2.8	0.8	0.142857	0	0	0	0	0	0	0	0	0	0.37931	58	3	26	19.333333	0.777778	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	0	0	4
5366f63577ab02bcdacf5d01746d99d0c916b406	317	py	Python	pytility/__init__.py	MarkusShepherd/pytility	176829db796541d0fb482b14c251167e58ae2de2	[ "MIT" ]	1	2019-11-04T19:21:06.000Z	2019-11-04T19:21:06.000Z	pytility/__init__.py	MarkusShepherd/pytility	176829db796541d0fb482b14c251167e58ae2de2	[ "MIT" ]	4	2020-03-24T18:11:03.000Z	2021-06-02T00:58:32.000Z	pytility/__init__.py	MarkusShepherd/pytility	176829db796541d0fb482b14c251167e58ae2de2	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- """Initialisations.""" from .__version__ import VERSION, __version__ from .files import concat_files from .iterables import arg_to_iter, batchify, clear_list, take_first, window from .parsers import parse_bool, parse_date, parse_float, parse_int from .strings import normalize_space, to_str	31.7	76	0.788644	44	317	5.25	0.659091	0	0	0	0	0	0	0	0	0	0.003571	0.116719	317	9	77	35.222222	0.821429	0.123028	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	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	4
725eaf3b413ee3aab104943c25a2427bb5467b2f	57	py	Python	entangle/tests/__init__.py	radiantone/entangle	82ee5adaf5a3e40bca5b049e272736d3a8322568	[ "MIT" ]	102	2021-04-02T22:15:24.000Z	2022-02-02T10:13:48.000Z	entangle/tests/__init__.py	radiantone/entangle	82ee5adaf5a3e40bca5b049e272736d3a8322568	[ "MIT" ]	null	null	null	entangle/tests/__init__.py	radiantone/entangle	82ee5adaf5a3e40bca5b049e272736d3a8322568	[ "MIT" ]	7	2021-06-01T01:52:57.000Z	2021-07-12T22:58:27.000Z	""" tests ~~~~~ Test suite for the py_pkg package.. """	8.142857	35	0.578947	8	57	4	1	0	0	0	0	0	0	0	0	0	0	0.192982	57	6	36	9.5	0.695652	0.842105	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
726639eca50ac15b530ee6a9a79fb4dd9845b3f1	359	py	Python	tests/test_combine.py	sushi-chaaaan/discord-ext-ui-fork	aa726b97ee1cd4c60974e74d3c9113142131a76e	[ "MIT" ]	27	2021-05-28T10:43:50.000Z	2022-03-29T14:30:17.000Z	tests/test_combine.py	sushi-chaaaan/discord-ext-ui-fork	aa726b97ee1cd4c60974e74d3c9113142131a76e	[ "MIT" ]	13	2021-05-29T01:13:12.000Z	2022-01-08T14:53:21.000Z	tests/test_combine.py	sushi-chaaaan/discord-ext-ui-fork	aa726b97ee1cd4c60974e74d3c9113142131a76e	[ "MIT" ]	13	2021-06-08T15:21:36.000Z	2022-02-07T13:23:00.000Z	from discord.ext.ui.combine import Just, PassThroughSubject def assert_two(x, y): assert x == y def test_just_1(): Just(1).sink(lambda x: assert_two(x, 1)) def test_just_2(): Just(2).map(lambda x: x * 2).sink(lambda x: assert_two(x, 4)) def test_subject_1(): sub = PassThroughSubject() sub.sink(lambda x: assert_two(x, 1)).send(1)	18.894737	65	0.665738	63	359	3.634921	0.365079	0.157205	0.174672	0.222707	0.283843	0.283843	0.19214	0	0	0	0.034014	0.181059	359	18	66	19.944444	0.744898	0	0	0	0	0	0	0	0	0	0.5	1	0.4	false	0.2	0.1	0	0.5	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	1	0	1	0	0	0	0	4
72726127e1a6fb697c1e68ceb53b15830991069e	738	py	Python	mindseg/data/segbase.py	BebDong/MindSeg	9841eec7200de6124a905f4e2b31ba7af4cc8cf6	[ "Apache-2.0" ]	2	2021-03-18T08:26:03.000Z	2022-03-15T12:53:34.000Z	mindseg/data/segbase.py	BebDong/MindSeg	9841eec7200de6124a905f4e2b31ba7af4cc8cf6	[ "Apache-2.0" ]	null	null	null	mindseg/data/segbase.py	BebDong/MindSeg	9841eec7200de6124a905f4e2b31ba7af4cc8cf6	[ "Apache-2.0" ]	1	2022-03-22T06:03:15.000Z	2022-03-22T06:03:15.000Z	# coding=utf-8 import os from abc import abstractmethod __all__ = ['SegDataset'] class SegDataset: def __init__(self, root, split, shard_num=1): if not os.path.isdir(root): raise OSError(f"{root} is not a valid directory.") self.root = root self.split = split self.shard_num = shard_num @property def num_images(self): raise NotImplementedError @property def num_masks(self): raise NotImplementedError @abstractmethod def images_list(self): raise NotImplementedError @abstractmethod def masks_list(self): raise NotImplementedError @abstractmethod def build_data(self, path): raise NotImplementedError	20.5	62	0.654472	83	738	5.626506	0.445783	0.256959	0.239829	0.269807	0.30621	0.20985	0	0	0	0	0.003717	0.271003	738	35	63	21.085714	0.864312	0.01626	0.4	0	0	0.058011	0	0	0	0	0	1	0.24	false	0	0.08	0	0.36	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	4
72bd5dbfa30946588263cd760e685b3415bc36f4	800	py	Python	pydzcvr/networkDiscovery/openstack/keystone.py	cboling/pydzcvr	ecac703030d27d00a325fde49a363a6f83f9dd6f	[ "Artistic-2.0" ]	null	null	null	pydzcvr/networkDiscovery/openstack/keystone.py	cboling/pydzcvr	ecac703030d27d00a325fde49a363a6f83f9dd6f	[ "Artistic-2.0" ]	null	null	null	pydzcvr/networkDiscovery/openstack/keystone.py	cboling/pydzcvr	ecac703030d27d00a325fde49a363a6f83f9dd6f	[ "Artistic-2.0" ]	1	2018-03-21T23:14:45.000Z	2018-03-21T23:14:45.000Z	''' @author: Chip Boling @copyright: 2015 Boling Consulting Solutions. All rights reserved. @license: Artistic License 2.0, http://opensource.org/licenses/Artistic-2.0 @contact: support@bcsw.net @deffield updated: Updated ''' import keystone import neutron def discoverAllNodes(): ''' Discover all nodes in the network that are available through OpenStack APIs TODO: This will change radically, for now, just do some hardcoded calls to various interfaces and see what is available. Evenutally this will be consolidated once patterns emerge. ''' # TODO: Call into any needed APIs print 'TODO: Openstack: Discovery' # Get the tenant list neutron.discoverAll() #nova.discoverAll() pass	23.529412	77	0.66875	95	800	5.631579	0.810526	0.007477	0	0	0	0	0	0	0	0	0.013491	0.25875	800	34	78	23.529412	0.888702	0.08625	0	0	0	0.139785	0	0	0	0.058824	0	0	null	null	0.166667	0.333333	null	null	0.166667	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	1	0	1	0	0	1	1	0	0	0	4
72e1a02a5b8e77f23a9b756be2951466409cf819	1,221	py	Python	ChangeTest.py	Bjornkjohnson/makeChangePython	4e60aa09160d269b60af4d0b09f421cdf3b7547a	[ "MIT" ]	null	null	null	ChangeTest.py	Bjornkjohnson/makeChangePython	4e60aa09160d269b60af4d0b09f421cdf3b7547a	[ "MIT" ]	null	null	null	ChangeTest.py	Bjornkjohnson/makeChangePython	4e60aa09160d269b60af4d0b09f421cdf3b7547a	[ "MIT" ]	null	null	null	import unittest from Change import * class ChangeTest(unittest.TestCase): def setUp(self): self.change = Change() def test_zero_cents(self): self.assertEqual(self.change.makeChange(0), {}) def test_one_cent(self): self.assertEqual(self.change.makeChange(1), {'p':1}) def test_four_cents(self): self.assertEqual(self.change.makeChange(4), {'p':4}) def test_five_cents(self): self.assertEqual(self.change.makeChange(5), {'n':1}) def test_eight_cents(self): self.assertEqual(self.change.makeChange(8), {'n':1, 'p':3}) def test_ten_cents(self): self.assertEqual(self.change.makeChange(10), {'d':1}) def test_twenty_five_cents(self): self.assertEqual(self.change.makeChange(25), {'q':1}) def test_forty_eight_cents(self): self.assertEqual(self.change.makeChange(48), {'q':1, 'd':2, 'p':3}) def test_fifty_cents(self): self.assertEqual(self.change.makeChange(50), {'h':1}) def test_seventy_four_cents(self): self.assertEqual(self.change.makeChange(74), {'h':1, 'd':2, 'p':4}) def test_ninety_one_cents(self): self.assertEqual(self.change.makeChange(91), {'h':1, 'q':1, 'd':1, 'n':1, 'p':1}) if __name__ == '__main__': unittest.main()	28.395349	85	0.678133	183	1,221	4.338798	0.256831	0.120907	0.263224	0.31864	0.63602	0.63602	0.586902	0.365239	0	0	0.034059	0.134316	1,221	43	86	28.395349	0.717124	0	0	0	0	0.022095	0	0	0	0	0.37931	1	0.413793	false	0	0.068966	0	0.517241	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	0	4
72eab1325205f4857d821b3491b0effdd79328d8	202	py	Python	circlet/expositions/views.py	kk6/circlet	6efc373dc357a9dbc6358f55b4f3bedc8e9ea553	[ "MIT" ]	null	null	null	circlet/expositions/views.py	kk6/circlet	6efc373dc357a9dbc6358f55b4f3bedc8e9ea553	[ "MIT" ]	null	null	null	circlet/expositions/views.py	kk6/circlet	6efc373dc357a9dbc6358f55b4f3bedc8e9ea553	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- from django.views.generic import ListView from .models import Exposition class ExpositionListView(ListView): model = Exposition template_name = "expositions/list.html"	22.444444	43	0.742574	23	202	6.478261	0.826087	0	0	0	0	0	0	0	0	0	0.005848	0.153465	202	8	44	25.25	0.865497	0.10396	0	0	0	0.117318	0.117318	0	0	0	0	1	0	false	0	0.4	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
f400b55f0c9c487a9c75de483021499ff3fddabc	1,258	py	Python	dailybbble/service.py	ahmetalpbalkan/dailybbble	7a067e30d709ebc1a9b4932320794c484a04c4f5	[ "Apache-2.0" ]	2	2015-11-04T09:31:27.000Z	2016-04-25T10:24:49.000Z	dailybbble/service.py	ahmetalpbalkan/dailybbble	7a067e30d709ebc1a9b4932320794c484a04c4f5	[ "Apache-2.0" ]	null	null	null	dailybbble/service.py	ahmetalpbalkan/dailybbble	7a067e30d709ebc1a9b4932320794c484a04c4f5	[ "Apache-2.0" ]	null	null	null	# coding=utf-8 from . import database from . import cache """ Provides information from database to front-end methods by adding a caching layer """ CACHE_TTL_MINS = 30 def popular_shots_of_day(day, count): cache_key = 'popular_{0}#{1}'.format(day, count) cached = cache.get(cache_key) if cached: return cached shots = database.popular_shots_of_day(day, count) if shots: cache.set(cache_key, shots, CACHE_TTL_MINS * 60) return shots def popular_shots_of_month(year, month, count): cache_key = 'popular_{0}-{1}#{2}'.format(year, month, count) cached = cache.get(cache_key) if cached: return cached shots = database.popular_shots_of_month(year, month, count) if shots: cache.set(cache_key, shots, CACHE_TTL_MINS * 60) return shots def popular_shots_in_range(date_start, date_end, count, min_likes=50): cache_key = 'popular_{0}...{1}#{2}'.format(date_start, date_end, count) cached = cache.get(cache_key) if cached: return cached shots = database.popular_shots_in_range(date_start, date_end, count, min_likes) if shots: cache.set(cache_key, shots, CACHE_TTL_MINS * 60) return shots	23.735849	75	0.662162	180	1,258	4.372222	0.261111	0.091487	0.060991	0.060991	0.810673	0.790343	0.729352	0.623888	0.623888	0.623888	0.019751	0.235294	1,258	52	76	24.192308	0.798337	0.009539	0.580645	0	0	0.047619	0.018182	0	0	0	0	1	0.096774	false	0	0.064516	0	0.354839	0	0	0	0	null	0	0	0	1	1	1	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
f4226fc0e307bc913ed198bacddf31d3aaa2181d	193	py	Python	Darlington/phase1/python Basic 1/day 4 solution/qtn7.py	CodedLadiesInnovateTech/-python-challenge-solutions	430cd3eb84a2905a286819eef384ee484d8eb9e7	[ "MIT" ]	6	2020-05-23T19:53:25.000Z	2021-05-08T20:21:30.000Z	Darlington/phase1/python Basic 1/day 4 solution/qtn7.py	CodedLadiesInnovateTech/-python-challenge-solutions	430cd3eb84a2905a286819eef384ee484d8eb9e7	[ "MIT" ]	8	2020-05-14T18:53:12.000Z	2020-07-03T00:06:20.000Z	Darlington/phase1/python Basic 1/day 4 solution/qtn7.py	CodedLadiesInnovateTech/-python-challenge-solutions	430cd3eb84a2905a286819eef384ee484d8eb9e7	[ "MIT" ]	39	2020-05-10T20:55:02.000Z	2020-09-12T17:40:59.000Z	#program concatenate def concatenate_list_data(list): result= '' for element in list: result += str(element) return result print(concatenate_list_data([4, 6, 2, 0, 34, 8]))	24.125	49	0.668394	27	193	4.62963	0.666667	0.24	0.304	0	0	0	0	0	0	0	0.046053	0.212435	193	8	49	24.125	0.776316	0.098446	0	0	0	0	0	0	0	0	0	1	0.166667	false	0	0	0	0.333333	0.166667	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
f427b125de729cb818a807d8b9f8309e514ab49c	61	py	Python	tests/environment/post_update.py	initOS/dob-lib	a07ea11fb40d7bdc1714b96da52fbc89ed37fb7b	[ "Apache-2.0" ]	null	null	null	tests/environment/post_update.py	initOS/dob-lib	a07ea11fb40d7bdc1714b96da52fbc89ed37fb7b	[ "Apache-2.0" ]	null	null	null	tests/environment/post_update.py	initOS/dob-lib	a07ea11fb40d7bdc1714b96da52fbc89ed37fb7b	[ "Apache-2.0" ]	null	null	null	def migrate(env, db_version): env.check(str(db_version))	20.333333	30	0.721311	10	61	4.2	0.7	0.428571	0	0	0	0	0	0	0	0	0	0.131148	61	2	31	30.5	0.792453	0	0	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	4
f4436e1be35a452c43b5dea05bdc4456e1f01b3c	56	py	Python	code_pack/utilities/abaqus/__init__.py	DedaoLiu/Postprocessing-3D	e89822a1110f20f02b652d5a8a2ef4ec08697aac	[ "MIT" ]	null	null	null	code_pack/utilities/abaqus/__init__.py	DedaoLiu/Postprocessing-3D	e89822a1110f20f02b652d5a8a2ef4ec08697aac	[ "MIT" ]	null	null	null	code_pack/utilities/abaqus/__init__.py	DedaoLiu/Postprocessing-3D	e89822a1110f20f02b652d5a8a2ef4ec08697aac	[ "MIT" ]	1	2020-08-27T17:07:27.000Z	2020-08-27T17:07:27.000Z	''' Created on 29/03/2012 @author: Daniel Stojanov '''	9.333333	24	0.660714	8	56	4.625	1	0	0	0	0	0	0	0	0	0	0.170213	0.160714	56	5	25	11.2	0.617021	0.839286	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
f48ec088120e8c9be6c1d04963be3c68ed4e5f49	4,521	py	Python	lib/assets/Lib/_testcapi.py	s6007589/cafe-grader-web	18a993801c698fb7b7ec6ae5f4b67920503cb242	[ "MIT" ]	25	2016-09-04T07:34:13.000Z	2022-02-14T07:39:02.000Z	lib/assets/Lib/_testcapi.py	it56660024/cafe-grader-web	e9a1305fd62e79e54f6961f97ddc5cd57bafd73c	[ "MIT" ]	25	2015-02-05T03:59:27.000Z	2022-02-11T16:54:04.000Z	lib/assets/Lib/_testcapi.py	it56660024/cafe-grader-web	e9a1305fd62e79e54f6961f97ddc5cd57bafd73c	[ "MIT" ]	16	2016-09-05T00:30:27.000Z	2021-12-05T11:07:02.000Z	CHAR_MAX = 127 CHAR_MIN = -128 DBL_MAX = 1.7976931348623157e+308 DBL_MIN = 2.2250738585072014e-308 FLT_MAX = 3.4028234663852886e+38 FLT_MIN = 1.1754943508222875e-38 INT_MAX = 2147483647 INT_MIN = -2147483648 LLONG_MAX = 9223372036854775807 LLONG_MIN = -9223372036854775808 LONG_MAX = 2147483647 LONG_MIN = -2147483648 PY_SSIZE_T_MAX = 2147483647 PY_SSIZE_T_MIN = -2147483648 SHRT_MAX = 32767 SHRT_MIN = -32768 SIZEOF_PYGC_HEAD = 16 UCHAR_MAX = 255 UINT_MAX = 4294967295 ULLONG_MAX = 18446744073709551615 ULONG_MAX = 4294967295 USHRT_MAX = 65535 __loader__ = "<_frozen_importlib.ExtensionFileLoader object at 0x00C98DD0>" def _pending_threadfunc(args,kw): pass class _test_structmembersType(object): pass def _test_thread_state(args,*kw): pass def argparsing(args,*kw): pass def code_newempty(args,*kw): pass def codec_incrementaldecoder(args,*kw): pass def codec_incrementalencoder(args,*kw): pass def crash_no_current_thread(args,*kw): pass class error(Exception): pass def exception_print(args,*kw): pass def getargs_B(args,*kw): pass def getargs_H(args,*kw): pass def getargs_I(args,*kw): pass def getargs_K(args,*kw): pass def getargs_L(args,*kw): pass def getargs_Z(args,*kw): pass def getargs_Z_hash(args,*kw): pass def getargs_b(args,*kw): pass def getargs_c(args,*kw): pass def getargs_h(args,*kw): pass def getargs_i(args,*kw): pass def getargs_k(args,*kw): pass def getargs_keyword_only(args,*kw): pass def getargs_keywords(args,*kw): pass def getargs_l(args,*kw): pass def getargs_n(args,*kw): pass def getargs_p(args,*kw): pass def getargs_s(args,*kw): pass def getargs_s_hash(args,*kw): pass def getargs_s_star(args,*kw): pass def getargs_tuple(args,*kw): pass def getargs_u(args,*kw): pass def getargs_u_hash(args,*kw): pass def getargs_w_star(args,*kw): pass def getargs_y(args,*kw): pass def getargs_y_hash(args,*kw): pass def getargs_y_star(args,*kw): pass def getargs_z(args,*kw): pass def getargs_z_hash(args,*kw): pass def getargs_z_star(args,*kw): pass class instancemethod(object): pass def make_exception_with_doc(args,*kw): pass def make_memoryview_from_NULL_pointer(args,*kw): pass def parse_tuple_and_keywords(args,*kw): pass def pytime_object_to_time_t(args,*kw): pass def pytime_object_to_timespec(args,*kw): pass def pytime_object_to_timeval(args,*kw): pass def raise_exception(args,*kw): pass def raise_memoryerror(args,*kw): pass def run_in_subinterp(args,*kw): pass def set_exc_info(args,*kw): pass def test_L_code(args,*kw): pass def test_Z_code(args,*kw): pass def test_capsule(args,*kw): pass def test_config(args,*kw): pass def test_datetime_capi(args,*kw): pass def test_dict_iteration(args,*kw): pass def test_empty_argparse(args,*kw): pass def test_k_code(args,*kw): pass def test_lazy_hash_inheritance(args,*kw): pass def test_list_api(args,*kw): pass def test_long_and_overflow(args,*kw): pass def test_long_api(args,*kw): pass def test_long_as_double(args,*kw): pass def test_long_as_size_t(args,*kw): pass def test_long_long_and_overflow(args,*kw): pass def test_long_numbits(args,*kw): pass def test_longlong_api(args,*kw): pass def test_null_strings(args,*kw): pass def test_s_code(args,*kw): pass def test_string_from_format(args,*kw): pass def test_string_to_double(args,*kw): pass def test_u_code(args,*kw): pass def test_unicode_compare_with_ascii(args,*kw): pass def test_widechar(args,*kw): pass def test_with_docstring(args,*kw): """This is a pretty normal docstring.""" pass def traceback_print(args,*kw): pass def unicode_aswidechar(args,*kw): pass def unicode_aswidecharstring(args,*kw): pass def unicode_encodedecimal(args,*kw): pass def unicode_transformdecimaltoascii(args,**kw): pass	15.536082	76	0.6357	634	4,521	4.255521	0.23817	0.173462	0.285397	0.351742	0.536694	0.385841	0.22387	0.168273	0.168273	0.141586	0.071305	0.230701	4,521	290	77	15.589655	0.704428	0.00752	0.437838	0	0	0.01432	0.009069	0	0.002387	0	0	1	0.421622	false	0.437838	0.005405	0	0.443243	0.010811	0	0	0	null	0	1	1	0	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	4
f4901bcd0441c3b17f92d0b0b097025ffaec699e	382	py	Python	stocks/tests/views/__init__.py	pchaos/wanggeService	839f7c6c52a685fcdc4b6a70cf8e9d6c8cc78255	[ "MIT" ]	11	2018-05-15T18:02:31.000Z	2020-05-07T03:57:33.000Z	stocks/tests/views/__init__.py	pchaos/wanggeService	839f7c6c52a685fcdc4b6a70cf8e9d6c8cc78255	[ "MIT" ]	1	2018-05-16T11:27:32.000Z	2018-07-07T10:56:58.000Z	stocks/tests/views/__init__.py	pchaos/wanggeService	839f7c6c52a685fcdc4b6a70cf8e9d6c8cc78255	[ "MIT" ]	13	2018-05-15T18:02:27.000Z	2022-03-23T06:18:29.000Z	# -- coding: utf-8 -- """ ------------------------------------------------- @File : __init__.py.py Description : @Author : pchaos date： 18-6-9 ------------------------------------------------- Change Activity: 18-6-9: @Contact : p19992003#gmail.com ------------------------------------------------- """ __author__ = 'pchaos'	21.222222	49	0.301047	25	382	4.28	0.76	0.224299	0.074766	0	0	0	0	0	0	0	0.057047	0.219895	382	18	50	21.222222	0.302013	0.918848	0	0	0	0.25	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	0	0	0	0	0	1	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
be673cfd0c057a7a112545f28948a8b143b998b4	3,536	py	Python	test.py	eximius8/safety-class-report-cloud-function	e735af8be28c138bddb70d1280285a2a2582b554	[ "BSD-2-Clause" ]	null	null	null	test.py	eximius8/safety-class-report-cloud-function	e735af8be28c138bddb70d1280285a2a2582b554	[ "BSD-2-Clause" ]	null	null	null	test.py	eximius8/safety-class-report-cloud-function	e735af8be28c138bddb70d1280285a2a2582b554	[ "BSD-2-Clause" ]	null	null	null	from main import generate_waste_rep import json # @todo write tests """ data = { "name": "Отход 1", \ "fkko": "78 946 46",\ "safety_class": "IV", \ "k": "45456", 'filename': 'tesss', 'safe_components': [], "components": \ {"кКомпонент гавностенкока фавылопаловфып выфапло фывпрвыа ыфвапрывп авфы": \ { "concp": "20", \ "concr": "58", \ "xi": "65", \ "zi": "4564", "lgw": "1578", "w": "342", "k": "15", "props": [], \ }, \ "кКомпонент гавностенкока фавыл2": \ { "concp": "25.8", \ "concr": "58", \ "xi": "5789", \ "zi": "4564", "lgw": "1578", "w": "342", "k": "5.5", "props": [], \ }, \ } } context={'data': data} generate_waste_rep(request=json.dumps(context)) """ # # context='{"name": "Отход 1",\ # # "fkko": "78 946 46",\ # # "safety_class": "158", \ # # "components": \ # # "{"component1": \ # # "{"concp": "20", \ # # "concr": "58", \ # # "xi": "65", \ # # "k": "15" \ # # }" \ # # }" }') """ // Example POST method implementation: async function postData(url = '', data = {}) { // Default options are marked with * const response = await fetch(url, { method: 'POST', // GET, POST, PUT, DELETE, etc. mode: 'cors', // no-cors, cors, same-origin cache: 'no-cache', // default, no-cache, reload, force-cache, only-if-cached credentials: 'same-origin', // include, same-origin, omit headers: { 'Content-Type': 'application/json' // 'Content-Type': 'application/x-www-form-urlencoded', }, redirect: 'follow', // manual, follow, error referrerPolicy: 'no-referrer', // no-referrer, no-referrer-when-downgrade, origin, origin-when-cross-origin, same-origin, strict-origin, strict-origin-when-cross-origin, unsafe-url body: JSON.stringify(data) // body data type must match "Content-Type" header }); return response.json(); // parses JSON response into native JavaScript objects } postData(url = 'http://localhost:8080/', data = { "name": "Отход 1", "fkko": "78 946 46", "safety_class": "IV", "k": "45456", 'filename': 'tesss', 'safe_components': [], "components": {"кКомпонент гавностенкока фавылопаловфып выфапло фывпрвыа ыфвапрывп авфы": { "concp": "20", "concr": "58", "xi": "65", "zi": "4564", "lgw": "1578", "w": "342", "k": "15", "props": [], }, "кКомпонент гавностенкока фавыл2": { "concp": "25.8", "concr": "58", "xi": "5789", "zi": "4564", "lgw": "1578", "w": "342", "k": "5.5", "props": [], }, } }).then(data => { console.log(data); // JSON data parsed by `data.json()` call }); """	32.440367	185	0.406957	295	3,536	4.847458	0.447458	0.024476	0.031469	0.036364	0.404196	0.404196	0.391608	0.391608	0.391608	0.369231	0.064954	0.416572	3,536	109	186	32.440367	0.628211	0.077206	0	1	0	0	0	0	0	0.009174	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	0	1	0	0	null	0	0	0	0	1	0	1	0	1	0	4
be6a591fbd3b864d537d013f9557f983227c3ea3	55	py	Python	src/acru_l/resources/ses/__init__.py	quadio-media/acru-l	3bcc1e1bc83e605c8029169bef21775f1de7b69f	[ "MIT" ]	null	null	null	src/acru_l/resources/ses/__init__.py	quadio-media/acru-l	3bcc1e1bc83e605c8029169bef21775f1de7b69f	[ "MIT" ]	null	null	null	src/acru_l/resources/ses/__init__.py	quadio-media/acru-l	3bcc1e1bc83e605c8029169bef21775f1de7b69f	[ "MIT" ]	1	2020-12-30T19:42:37.000Z	2020-12-30T19:42:37.000Z	from .verfication import SESVerification # noqa: F401	27.5	54	0.8	6	55	7.333333	1	0	0	0	0	0	0	0	0	0	0.06383	0.145455	55	1	55	55	0.87234	0.181818	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
be6a9361302d239b513ff72d80b133b6a73c4206	56	py	Python	projeto/ex021.py	EricBerlim/PYTHON	68a90fe89185f9ed09b89dd60547e696bf1a8082	[ "MIT" ]	null	null	null	projeto/ex021.py	EricBerlim/PYTHON	68a90fe89185f9ed09b89dd60547e696bf1a8082	[ "MIT" ]	null	null	null	projeto/ex021.py	EricBerlim/PYTHON	68a90fe89185f9ed09b89dd60547e696bf1a8082	[ "MIT" ]	null	null	null	from playsound import playsound playsound('ex021.mp3')	14	31	0.803571	7	56	6.428571	0.714286	0	0	0	0	0	0	0	0	0	0.08	0.107143	56	3	32	18.666667	0.82	0	0	0	0	0.160714	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	4
be6c2c8fa6990386271017ecb1be42c2bebdb3fb	163	py	Python	password.py	narenkumar205/CoinBot	0c3bef8272b29f6ab04370786ca175575662742d	[ "MIT" ]	null	null	null	password.py	narenkumar205/CoinBot	0c3bef8272b29f6ab04370786ca175575662742d	[ "MIT" ]	null	null	null	password.py	narenkumar205/CoinBot	0c3bef8272b29f6ab04370786ca175575662742d	[ "MIT" ]	null	null	null	KEY = MzExMTQ3MTg0MzIwMDIwNDgw.YgJ84w.wMRzRXGVC-HGvpQbSHbH_zCQR-w IEX_TOKEN = pk_7c00f1c14b964b759e6b774cb9fa1c1b CMK_TOKEN = c9072db9-a2ab-4800-88fe-3e325c118eb6	40.75	65	0.877301	18	163	7.722222	0.944444	0	0	0	0	0	0	0	0	0	0.279221	0.055215	163	3	66	54.333333	0.623377	0	0	0	0	0	0	0	0	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	4
bea2c00fdd07c16e09b9b580838b4a2bbc6e1cea	160	py	Python	tdpExport/dev_exporter.py	TranscribeToTEI/pyAdmin	b9e9fb61d7058c037364bbba578e56d88e9c0d5c	[ "MIT" ]	null	null	null	tdpExport/dev_exporter.py	TranscribeToTEI/pyAdmin	b9e9fb61d7058c037364bbba578e56d88e9c0d5c	[ "MIT" ]	null	null	null	tdpExport/dev_exporter.py	TranscribeToTEI/pyAdmin	b9e9fb61d7058c037364bbba578e56d88e9c0d5c	[ "MIT" ]	null	null	null	from tdpExport.exporter import exporter url_strict = "https://tdp.karl-pineau.fr" url_api = "https://tdp.karl-pineau.fr/api/web" exporter(url_api, url_strict)	26.666667	46	0.76875	26	160	4.576923	0.5	0.184874	0.201681	0.302521	0.336134	0	0	0	0	0	0	0.08125	160	5	47	32	0.809524	0	0	0	0	0.375	0	0	0	0	0	1	0	false	0	0.25	0	0.25	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
fe2a1cbe14d4d83f1c6f87559154a75c30bc34f9	80	py	Python	api/tests/test_api.py	dumrich/Stockify	949e741cfdfec32f9b590f19263d829d97fb669d	[ "MIT" ]	1	2020-06-30T15:16:16.000Z	2020-06-30T15:16:16.000Z	api/tests/test_api.py	dumrich/Stockify	949e741cfdfec32f9b590f19263d829d97fb669d	[ "MIT" ]	null	null	null	api/tests/test_api.py	dumrich/Stockify	949e741cfdfec32f9b590f19263d829d97fb669d	[ "MIT" ]	null	null	null	from rest_framework import APIRequestFactory from factory = APIRequestFactory()	20	44	0.8625	8	80	8.5	0.75	0	0	0	0	0	0	0	0	0	0	0.1	80	3	45	26.666667	0.944444	0	0	0	0	0	0	0	0	0	0	0	null	null	0	0.333333	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	0	4
fe4d88d1ce75be32a2675bef03f1f5dda3366460	2,784	py	Python	monk/gluon/schedulers/schedulers.py	Shreyashwaghe/monk_v1	4ee4d9483e8ffac9b73a41f3c378e5abf5fc799b	[ "Apache-2.0" ]	2	2020-09-16T06:05:50.000Z	2021-04-07T12:05:20.000Z	monk/gluon/schedulers/schedulers.py	Shreyashwaghe/monk_v1	4ee4d9483e8ffac9b73a41f3c378e5abf5fc799b	[ "Apache-2.0" ]	null	null	null	monk/gluon/schedulers/schedulers.py	Shreyashwaghe/monk_v1	4ee4d9483e8ffac9b73a41f3c378e5abf5fc799b	[ "Apache-2.0" ]	null	null	null	from gluon.schedulers.imports import * from system.imports import * @accepts(dict, post_trace=True) @TraceFunction(trace_args=False, trace_rv=False) def scheduler_fixed(system_dict): ''' Set learning rate fixed Args: system_dict (dict): System dictionary storing experiment state and set variables Returns: dict: updated system dict ''' system_dict["local"]["learning_rate_scheduler"] = None; system_dict["hyper-parameters"]["learning_rate_scheduler"]["name"] = "fixed"; return system_dict; @accepts(dict, int, gamma=[float, int], last_epoch=int, post_trace=True) @TraceFunction(trace_args=False, trace_rv=False) def scheduler_step(system_dict, step_size, gamma=0.1, last_epoch=-1): ''' Set learning rate to decrease in regular steps Args: system_dict (dict): System dictionary storing experiment state and set variables step_size (int): Step interval for decreasing learning rate gamma (str): Reduction multiplier for reducing learning rate post every step last_epoch (int): Set this epoch to a level post which learning rate will not be decreased Returns: dict: updated system dict ''' system_dict["local"]["learning_rate_scheduler"] = "steplr"; system_dict["hyper-parameters"]["learning_rate_scheduler"]["name"] = "steplr"; system_dict["hyper-parameters"]["learning_rate_scheduler"]["params"]["step_size"] = step_size; system_dict["hyper-parameters"]["learning_rate_scheduler"]["params"]["gamma"] = gamma; system_dict["hyper-parameters"]["learning_rate_scheduler"]["params"]["last_epoch"] = last_epoch; return system_dict; @accepts(dict, [list, int], gamma=[float, int], last_epoch=int, post_trace=True) @TraceFunction(trace_args=False, trace_rv=False) def scheduler_multistep(system_dict, milestones, gamma=0.1, last_epoch=-1): ''' Set learning rate to decrease in irregular steps Args: system_dict (dict): System dictionary storing experiment state and set variables milestones (list): List of epochs at which learning rate is to be decreased gamma (str): Reduction multiplier for reducing learning rate post every step last_epoch (int): Dummy variable Returns: dict: updated system dict ''' system_dict["local"]["learning_rate_scheduler"] = "multisteplr"; system_dict["hyper-parameters"]["learning_rate_scheduler"]["name"] = "multisteplr"; system_dict["hyper-parameters"]["learning_rate_scheduler"]["params"]["milestones"] = milestones; system_dict["hyper-parameters"]["learning_rate_scheduler"]["params"]["gamma"] = gamma; system_dict["hyper-parameters"]["learning_rate_scheduler"]["params"]["last_epoch"] = last_epoch; return system_dict;	40.347826	105	0.715158	350	2,784	5.485714	0.222857	0.125	0.13125	0.117188	0.793229	0.773438	0.773438	0.773438	0.623438	0.623438	0.002578	0.164152	2,784	68	106	40.941176	0.822518	0.342313	0.384615	0	0	0.333723	0.161309	0	0	0	0	1	0.115385	false	0	0.076923	0	0.307692	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
fe53cac0b82245adab9fa7f37c7b0318535dde7b	1,146	py	Python	xharvest/handlers/login.py	vyscond/py-xharvest	10cb6a78ddd86d2b0cf73f1eaaf47d97e839fbe8	[ "MIT" ]	null	null	null	xharvest/handlers/login.py	vyscond/py-xharvest	10cb6a78ddd86d2b0cf73f1eaaf47d97e839fbe8	[ "MIT" ]	21	2020-04-26T18:22:24.000Z	2020-08-09T23:23:20.000Z	xharvest/handlers/login.py	vyscond/py-xharvest	10cb6a78ddd86d2b0cf73f1eaaf47d97e839fbe8	[ "MIT" ]	null	null	null	from xharvest.data import get_img_path from xharvest.handlers.base import Handler from xharvest.handlers.login_pat import LoginPersonalAccessTokenHandler # from xharvest.handlers.login_oauth2 import LoginOAuth2Handler class LoginHandler(Handler): def bind_data(self): self.get_widget("imageAppLogo")\ .set_from_file(get_img_path("xharvest.png")) def bind_signals(self): self.auth_flow.connect( "user_authenticated", self.on_user_authenticated) def on_user_authenticated(self, gobj): self.get_root_widget().destroy() def on_login_with_pat(self, btn): self.get_root_widget().hide() # TODO Move to a decorator? LoginPersonalAccessTokenHandler().get_root_widget().show_all() def on_login_with_oauth2(self, btn): # The Reason why we "shutdown" this flown is that we don't a # good idea on how to "pack" the necessary credentials (tokens # and secrets) to be installed through pip # # self.get_root_widget().hide() # TODO Move to a decorator? # LoginOAuth2Handler().get_root_widget().show_all() pass	36.967742	71	0.699825	148	1,146	5.182432	0.472973	0.045632	0.084746	0.066493	0.159061	0.10691	0.10691	0.10691	0.10691	0.10691	0.004425	0.211169	1,146	30	72	38.2	0.844027	0.310646	0	0	0	0.053846	0	0	0	0.033333	0	1	0.294118	false	0.058824	0.176471	0	0.529412	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	1	0	0	1	0	1	0	0	1	0	4
fe89732498cde21bf8835a39379baa460327e257	161	py	Python	epookman_gui/ui/widgets/__init__.py	BishrGhalil/epookman-gui	f6cca901b7db6f92f096290f4a9b44fa9055b2dd	[ "MIT" ]	1	2022-03-16T17:49:35.000Z	2022-03-16T17:49:35.000Z	epookman_gui/ui/widgets/__init__.py	BishrGhalil/epookman-gui	f6cca901b7db6f92f096290f4a9b44fa9055b2dd	[ "MIT" ]	null	null	null	epookman_gui/ui/widgets/__init__.py	BishrGhalil/epookman-gui	f6cca901b7db6f92f096290f4a9b44fa9055b2dd	[ "MIT" ]	null	null	null	#!/usr/bin/env python # -- coding: utf-8 -- # This file is part of epookman. # License: MIT, see the file "LICENCS" for details. """UI Widgets for epookman"""	26.833333	51	0.658385	25	161	4.24	0.88	0	0	0	0	0	0	0	0	0	0.007463	0.167702	161	5	52	32.2	0.783582	0.913043	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
fe89795ea464e68662e6491b92f66942bb89b73d	254	py	Python	server/events/views.py	Samwisebuze/semi-automatic-pancake	ea758855276efca84d722fb966a394d221cdaa01	[ "MIT" ]	null	null	null	server/events/views.py	Samwisebuze/semi-automatic-pancake	ea758855276efca84d722fb966a394d221cdaa01	[ "MIT" ]	4	2019-11-02T13:51:41.000Z	2021-04-08T20:39:22.000Z	server/events/views.py	Samwisebuze/semi-automatic-pancake	ea758855276efca84d722fb966a394d221cdaa01	[ "MIT" ]	null	null	null	from django.shortcuts import render from .models import Event from .serializers import EventSerializer from rest_framework import viewsets class EventView(viewsets.ModelViewSet): queryset = Event.objects.all() serializer_class = EventSerializer	28.222222	40	0.818898	29	254	7.103448	0.655172	0	0	0	0	0	0	0	0	0	0	0.129921	254	9	41	28.222222	0.932127	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.571429	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
fe9752da7e56ec4f714585ac11cce223fc842bb7	100	py	Python	schedule/show_schedule/apps.py	zwangZJU/Schedule	5441fa4f681406c3015b9201425ca07ed1bc8dae	[ "Apache-2.0" ]	null	null	null	schedule/show_schedule/apps.py	zwangZJU/Schedule	5441fa4f681406c3015b9201425ca07ed1bc8dae	[ "Apache-2.0" ]	null	null	null	schedule/show_schedule/apps.py	zwangZJU/Schedule	5441fa4f681406c3015b9201425ca07ed1bc8dae	[ "Apache-2.0" ]	null	null	null	from django.apps import AppConfig class ShowScheduleConfig(AppConfig): name = 'show_schedule'	16.666667	36	0.78	11	100	7	0.909091	0	0	0	0	0	0	0	0	0	0	0.15	100	5	37	20	0.905882	0	0	0	0	0.13	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	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
fea8c0f14375722b82620648fe27da93985969c6	125	py	Python	MODULES_2/__init__.py	dgattiwsu/g_CXR-Net	684a736b5bb0bf9961ccf9046481a7e561b66893	[ "Apache-2.0" ]	2	2021-05-25T14:05:24.000Z	2021-11-10T07:19:27.000Z	run_CXR-Net/MODULES_2/__init__.py	dgattiwsu/CXR-Net	d6ee3e7a5642242f9581b7747e79813d20785ec8	[ "Apache-2.0" ]	null	null	null	run_CXR-Net/MODULES_2/__init__.py	dgattiwsu/CXR-Net	d6ee3e7a5642242f9581b7747e79813d20785ec8	[ "Apache-2.0" ]	null	null	null	# import Blocks # import Constants # import Generators # import Losses # import Networks # import Utils # import Attention	12.5	19	0.76	14	125	6.785714	0.571429	0	0	0	0	0	0	0	0	0	0	0.184	125	9	20	13.888889	0.931373	0.864	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	4
feadbdfad0bfc6139f6deb1afabca00f35030c42	216	py	Python	simple_face_detection.py	26medias/opencv-machine-vision-pipeline	51743a905327744ab73b8b80d7be9c9ceb0c4507	[ "MIT" ]	null	null	null	simple_face_detection.py	26medias/opencv-machine-vision-pipeline	51743a905327744ab73b8b80d7be9c9ceb0c4507	[ "MIT" ]	null	null	null	simple_face_detection.py	26medias/opencv-machine-vision-pipeline	51743a905327744ab73b8b80d7be9c9ceb0c4507	[ "MIT" ]	null	null	null	#from vision_pipeline.framework import VisionFramework from vision_pipeline import framework visionPipeline = framework.VisionFramework(settings="settings/face_detection.json") visionPipeline.capture(src=0, fps=30)	36	83	0.856481	25	216	7.28	0.64	0.10989	0.197802	0	0	0	0	0	0	0	0.014851	0.064815	216	6	84	36	0.886139	0.24537	0	0	0	0.171779	0.171779	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	4
feafaacbe68fba000f2b0ec8d011e9ba9a0649c1	137	py	Python	create_cluster_for_examples.py	kialo/aioredis	d332e6ca1229cba467d8e9e71953b0b1914a381d	[ "MIT" ]	1	2018-04-14T16:31:56.000Z	2018-04-14T16:31:56.000Z	create_cluster_for_examples.py	kialo/aioredis	d332e6ca1229cba467d8e9e71953b0b1914a381d	[ "MIT" ]	3	2016-05-30T14:40:22.000Z	2018-05-29T13:08:45.000Z	create_cluster_for_examples.py	ymap/aioredis	d332e6ca1229cba467d8e9e71953b0b1914a381d	[ "MIT" ]	4	2017-11-29T14:56:21.000Z	2018-11-05T03:33:27.000Z	from aioredis.cluster.testcluster import TestCluster cluster = TestCluster(list(range(7001, 7007)), '/tmp/rediscluster') cluster.setup()	34.25	67	0.79562	16	137	6.8125	0.75	0.330275	0	0	0	0	0	0	0	0	0.062992	0.072993	137	4	68	34.25	0.795276	0	0	0	0	0.123188	0	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	4
22803a0a6284eaff3886a2dee6a426b6ef78f66e	108	py	Python	nunif/modules/__init__.py	jb2020-super/nunif	eab6952d93e85951ed4e4cff30cd26c09e1dbb63	[ "MIT" ]	18	2020-05-21T18:52:19.000Z	2022-03-07T08:47:00.000Z	nunif/modules/__init__.py	jb2020-super/nunif	eab6952d93e85951ed4e4cff30cd26c09e1dbb63	[ "MIT" ]	1	2021-03-24T03:47:50.000Z	2021-03-24T03:47:50.000Z	nunif/modules/__init__.py	jb2020-super/nunif	eab6952d93e85951ed4e4cff30cd26c09e1dbb63	[ "MIT" ]	3	2021-02-18T08:51:26.000Z	2022-02-16T09:01:18.000Z	from . se_block import SEBlock from . inplace_clip import InplaceClip __all__ = ["SEBlock", "InplaceClip"]	21.6	38	0.768519	13	108	5.923077	0.692308	0	0	0	0	0	0	0	0	0	0	0.138889	108	4	39	27	0.827957	0	0	0	0	0.166667	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	4
2292b60130115098facf3cdec10a972e44b9bde0	409	py	Python	sphericalquadpy/tools/__init__.py	camminady/sphericalquadpy	0646547cc69e27de7ce36f4b519d4f420ef443e7	[ "MIT" ]	1	2020-11-15T23:47:48.000Z	2020-11-15T23:47:48.000Z	ext/steffensCode/ext/sphericalquadpy/tools/__init__.py	ScSteffen/neuralEntropyComparison	b54a823db595cc84717954fa84a9fb0d2f52e7b1	[ "MIT" ]	1	2019-04-09T08:38:21.000Z	2019-04-09T08:38:21.000Z	ext/steffensCode/ext/sphericalquadpy/tools/__init__.py	ScSteffen/neuralEntropyComparison	b54a823db595cc84717954fa84a9fb0d2f52e7b1	[ "MIT" ]	1	2020-12-19T21:12:59.000Z	2020-12-19T21:12:59.000Z	# pylint: disable=C0111 from .rotations import ( randomanglerotate, randomaxisrotate, randomrotate, rotate, rotationmatrix, ) from .transformations import xyz2thetaphi, thetaphi2xyz from .sphericalharmonics import ylm __all__ = [ "randomanglerotate", "randomaxisrotate", "randomrotate", "rotate", "rotationmatrix", "xyz2thetaphi", "thetaphi2xyz", "ylm", ]	18.590909	55	0.687042	29	409	9.551724	0.586207	0.238267	0.32491	0.368231	0.469314	0	0	0	0	0	0.024845	0.212714	409	21	56	19.47619	0.835404	0.051345	0	0	0	0.238342	0	0	0	0	0	1	0	false	0	0.157895	0	0.157895	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	4
22dbd44e4176a6cbfce7c014bc3e9118271b22f4	339	py	Python	libartipy/IO/__init__.py	Artisense-ai/libartipy	7a6a7736637c106e7e9c6763ec8c1dea64db4b01	[ "MIT" ]	5	2021-06-15T13:01:51.000Z	2021-12-04T04:26:08.000Z	libartipy/IO/__init__.py	Artisense-ai/libartipy	7a6a7736637c106e7e9c6763ec8c1dea64db4b01	[ "MIT" ]	null	null	null	libartipy/IO/__init__.py	Artisense-ai/libartipy	7a6a7736637c106e7e9c6763ec8c1dea64db4b01	[ "MIT" ]	3	2021-06-18T10:37:04.000Z	2021-11-15T05:55:29.000Z	from .input_output import filename_sort, convert_color_from_hex_to_rgb, \ get_timestamp_from_filename, get_timestamp_from_keyframe_filename, str2bool from .input_output import data_to_16bit_png, image_to_plasma_png, \ encode_data_image_to_16bit, decode_data_image_from_16bit_file from .kf_file_preprocessing import JsonBlobCreator	56.5	79	0.879056	51	339	5.215686	0.509804	0.067669	0.112782	0.157895	0	0	0	0	0	0	0.022581	0.085546	339	5	80	67.8	0.835484	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.6	0	0.6	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	4
22f89f93bab23c1502ea76ca7511d3d867baff16	90	py	Python	hello.py	cag2as/cs3240-labdemo	4f37cdf8dd1bf11842b4b8b0694ee322233ddbea	[ "MIT" ]	null	null	null	hello.py	cag2as/cs3240-labdemo	4f37cdf8dd1bf11842b4b8b0694ee322233ddbea	[ "MIT" ]	null	null	null	hello.py	cag2as/cs3240-labdemo	4f37cdf8dd1bf11842b4b8b0694ee322233ddbea	[ "MIT" ]	null	null	null	__author__ = 'cag2as' from helper import greeting #calls from helper greeting("hello")	11.25	27	0.755556	11	90	5.818182	0.727273	0.3125	0	0	0	0	0	0	0	0	0.013158	0.155556	90	7	28	12.857143	0.828947	0.188889	0	0	0	0.15493	0	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	4
fe09fc9be3c7288777bb32be3ada3f93a60f9005	360	py	Python	py_src/star_tracker/star_tracker/__init__.py	Jormungandr1105/COTS-Star-Tracker	85acd89d6b3801a8d8489de5d7586dd2c6ea0847	[ "BSD-3-Clause" ]	4	2021-08-20T18:45:27.000Z	2022-01-21T00:30:46.000Z	py_src/star_tracker/star_tracker/__init__.py	Jormungandr1105/COTS-Star-Tracker	85acd89d6b3801a8d8489de5d7586dd2c6ea0847	[ "BSD-3-Clause" ]	null	null	null	py_src/star_tracker/star_tracker/__init__.py	Jormungandr1105/COTS-Star-Tracker	85acd89d6b3801a8d8489de5d7586dd2c6ea0847	[ "BSD-3-Clause" ]	1	2022-01-22T17:50:51.000Z	2022-01-22T17:50:51.000Z	#!/usr/bin/python3 # -- coding: utf-8 -- ''' __init__.py This script is intended to enable installation ''' ################################ #LOAD LIBRARIES ################################ import os import sys ################################ #MAIN CODE ################################ sys.path.append(os.path.dirname(os.path.realpath(__file__)))	14.4	60	0.441667	33	360	4.575758	0.818182	0.07947	0	0	0	0	0	0	0	0	0.006211	0.105556	360	24	61	15	0.462733	0.338889	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	4

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