Split (1)

train · 336k rows

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2e6c6ab4489c9f22e64ad0b195c2d30ed130ae48	83	py	Python	jsonrpc/proxy.py	escrowmycoinsnet/python-monerorpc	8e3064e521992b55c5e43e3f782b4f9d4634c50d	[ "MIT" ]	10	2018-10-26T14:19:41.000Z	2021-12-13T22:46:56.000Z	jsonrpc/proxy.py	escrowmycoinsnet/python-monerorpc	8e3064e521992b55c5e43e3f782b4f9d4634c50d	[ "MIT" ]	5	2019-01-18T14:43:33.000Z	2022-03-10T21:57:29.000Z	jsonrpc/proxy.py	escrowmycoinsnet/python-monerorpc	8e3064e521992b55c5e43e3f782b4f9d4634c50d	[ "MIT" ]	10	2018-10-16T06:05:44.000Z	2021-10-18T11:41:59.000Z	from monerorpc.authproxy import AuthServiceProxy as ServiceProxy, JSONRPCException	41.5	82	0.891566	8	83	9.25	1	0	0	0	0	0	0	0	0	0	0	0.084337	83	1	83	83	0.973684	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	0	null	0	0	0	0	1	0	1	0	1	0	5
cf02c07820ae9da8ee0ed716a8197209add9a750	34	py	Python	src/boot.py	wichur/Wi.Rptt.Mp	e4cf404a0dd1beb4832d8892a2f815c2efba93ed	[ "MIT" ]	null	null	null	src/boot.py	wichur/Wi.Rptt.Mp	e4cf404a0dd1beb4832d8892a2f815c2efba93ed	[ "MIT" ]	null	null	null	src/boot.py	wichur/Wi.Rptt.Mp	e4cf404a0dd1beb4832d8892a2f815c2efba93ed	[ "MIT" ]	null	null	null	# boot.py - - runs on boot-up true	34	34	0.647059	7	34	3.142857	0.857143	0	0	0	0	0	0	0	0	0	0	0.205882	34	1	34	34	0.814815	0.941176	null	0	null	0	0	null	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	1	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
cf1a52125dfa23085fe2185505e85cee2f264088	201	py	Python	code/python/misc.py	sglvt/notes	adeb704960d97235e8f92a1c4df79f898d5160f4	[ "MIT" ]	null	null	null	code/python/misc.py	sglvt/notes	adeb704960d97235e8f92a1c4df79f898d5160f4	[ "MIT" ]	null	null	null	code/python/misc.py	sglvt/notes	adeb704960d97235e8f92a1c4df79f898d5160f4	[ "MIT" ]	null	null	null	import random # Random random.seed(3) print(random.random()) print(random.random()) print(random.randrange(1, 10)) print(random.sample(range(100), 10)) # print with separator print(1, 2, 3, sep='\|')	16.75	36	0.706468	31	201	4.580645	0.483871	0.338028	0.239437	0.309859	0.316901	0	0	0	0	0	0.066667	0.104478	201	11	37	18.272727	0.722222	0.134328	0.285714	0	0	0.005848	0	0	0	0	1	0	true	0	0.142857	0	0.142857	0.714286	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	5
cf267c90c92ea0bf6a9205c614e3613006f6cdab	67	py	Python	src/kaa/engine.py	PawelRoman/kaa	555b8d0c06cdb1052d7adfb8f11b233e749bdda2	[ "MIT" ]	1	2020-04-30T12:51:26.000Z	2020-04-30T12:51:26.000Z	src/kaa/engine.py	PawelRoman/kaa	555b8d0c06cdb1052d7adfb8f11b233e749bdda2	[ "MIT" ]	null	null	null	src/kaa/engine.py	PawelRoman/kaa	555b8d0c06cdb1052d7adfb8f11b233e749bdda2	[ "MIT" ]	null	null	null	from ._kaa import Engine, Scene, get_engine, VirtualResolutionMode	33.5	66	0.835821	8	67	6.75	0.875	0	0	0	0	0	0	0	0	0	0	0.104478	67	1	67	67	0.9	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	0	null	0	0	0	0	1	0	1	0	1	0	5
cf8821d308e51649f8afcac969c3aec67d9fc32d	194	py	Python	twobuntu/context_processors.py	muhiza/originarities	ca0a67363579e6237127386f13baa2ab7a7c2717	[ "Apache-2.0" ]	16	2015-01-12T12:25:28.000Z	2021-06-22T03:23:44.000Z	twobuntu/context_processors.py	muhiza/originarities	ca0a67363579e6237127386f13baa2ab7a7c2717	[ "Apache-2.0" ]	5	2015-01-02T01:23:40.000Z	2015-10-22T06:11:40.000Z	twobuntu/context_processors.py	muhiza/originarities	ca0a67363579e6237127386f13baa2ab7a7c2717	[ "Apache-2.0" ]	11	2015-01-27T06:23:45.000Z	2020-05-20T11:46:12.000Z	from django.conf import settings def read_only(request): """ Add a template variable indicating read-only mode. """ return {'READ_ONLY': getattr(settings, 'READ_ONLY', False)}	21.555556	63	0.685567	25	194	5.2	0.72	0.246154	0	0	0	0	0	0	0	0	0	0.195876	194	8	64	24.25	0.833333	0.257732	0	0	0	0.140625	0	0	0	0	1	0.333333	false	0	0.333333	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	1	0	0	0	5
d8aa1a4d8ced245f466d11bf8e6971be1d324458	99	py	Python	office365/sharepoint/userprofiles/followedItem.py	wreiner/Office365-REST-Python-Client	476bbce4f5928a140b4f5d33475d0ac9b0783530	[ "MIT" ]	544	2016-08-04T17:10:16.000Z	2022-03-31T07:17:20.000Z	office365/sharepoint/userprofiles/followedItem.py	wreiner/Office365-REST-Python-Client	476bbce4f5928a140b4f5d33475d0ac9b0783530	[ "MIT" ]	438	2016-10-11T12:24:22.000Z	2022-03-31T19:30:35.000Z	office365/sharepoint/userprofiles/followedItem.py	wreiner/Office365-REST-Python-Client	476bbce4f5928a140b4f5d33475d0ac9b0783530	[ "MIT" ]	202	2016-08-22T19:29:40.000Z	2022-03-30T20:26:15.000Z	from office365.runtime.client_value import ClientValue class FollowedItem(ClientValue): pass	16.5	54	0.818182	11	99	7.272727	0.909091	0	0	0	0	0	0	0	0	0	0.034884	0.131313	99	5	55	19.8	0.895349	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	5
d8b3819514f5838ebc5f946ebb6d988944bc11fa	43	py	Python	cases/noglobal.py	minakoyang/YY_python2.7_interpreter_in_CPP	e949f4bbd27752e6dbfef0a887d9567345d512f4	[ "MIT" ]	1	2019-04-30T16:27:19.000Z	2019-04-30T16:27:19.000Z	cases/noglobal.py	minakoyang/YY_python2.7_interpreter_in_CPP	e949f4bbd27752e6dbfef0a887d9567345d512f4	[ "MIT" ]	null	null	null	cases/noglobal.py	minakoyang/YY_python2.7_interpreter_in_CPP	e949f4bbd27752e6dbfef0a887d9567345d512f4	[ "MIT" ]	null	null	null	x = 9 def f(): # x += 11 print x f()	5.375	11	0.372093	9	43	1.777778	0.666667	0	0	0	0	0	0	0	0	0	0.12	0.418605	43	7	12	6.142857	0.52	0.162791	0	0	0	0	0	0	0	0	0	null	null	0	0	null	null	0.25	1	1	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	5
d8e17709a8ae9ef1c17278827b46eb4f24a9fa59	178	py	Python	src/lib/__init__.py	geraldinepyh/LaTeXreport	ece1bee6f33eb5e7b22250aa695fd83a26912cc4	[ "MIT" ]	null	null	null	src/lib/__init__.py	geraldinepyh/LaTeXreport	ece1bee6f33eb5e7b22250aa695fd83a26912cc4	[ "MIT" ]	6	2020-01-28T22:56:13.000Z	2022-02-10T00:30:25.000Z	src/lib/__init__.py	geraldinepyh/LaTeXreport	ece1bee6f33eb5e7b22250aa695fd83a26912cc4	[ "MIT" ]	null	null	null	'''Libraries used by the main program All the libraries that will be used by the main program will be placed here. Contains Library with functions to create latex report. '''	25.428571	55	0.769663	29	178	4.724138	0.689655	0.087591	0.131387	0.189781	0.291971	0	0	0	0	0	0	0.185393	178	7	56	25.428571	0.944828	0.960674	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
995e82f5796330ff2b2ee043fffe7be06d7af2c9	3,205	py	Python	cesium_app/tests/test_util.py	yaowenxi/cesium	b87c8bcafc8a7707877f8b9e9b111a2a99b5aeee	[ "BSD-3-Clause" ]	41	2016-10-10T23:14:54.000Z	2021-07-08T19:44:14.000Z	cesium_app/tests/test_util.py	cesium-ml/cesium_web	6dd9977ff037982d50f740bfb62012b508eebd29	[ "BSD-3-Clause" ]	200	2016-06-22T19:55:38.000Z	2022-03-22T18:42:19.000Z	cesium_app/tests/test_util.py	yaowenxi/cesium	b87c8bcafc8a7707877f8b9e9b111a2a99b5aeee	[ "BSD-3-Clause" ]	26	2016-04-21T00:50:03.000Z	2019-11-04T20:19:53.000Z	from cesium_app import util from cesium_app.ext import sklearn_models import numpy.testing as npt import pytest def test_robust_literal_eval(): """Test util.robust_literal_eval""" params = {"n_estimators": "1000", "max_features": "auto", "min_weight_fraction_leaf": "0.34", ...	37.267442	76	0.629953	380	3,205	4.992105	0.202632	0.094887	0.110701	0.147601	0.753295	0.753295	0.753295	0.753295	0.727992	0.702688	0.047756	0.242122	3,205	85	77	37.705882	0.733224	0.022777	0.441176	0	0	0.217238	0.058315	0	0	0.044118	1	0.029412	false	0	0.058824	0	0.088235	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
41d0a86a166224cfc6ccbafafebdaf689485c6ea	28	py	Python	test_github/test.py	LingD0101/git_project	87e6dab0b523cb5836e4e8fedf0973877ae7763d	[ "MIT" ]	null	null	null	test_github/test.py	LingD0101/git_project	87e6dab0b523cb5836e4e8fedf0973877ae7763d	[ "MIT" ]	null	null	null	test_github/test.py	LingD0101/git_project	87e6dab0b523cb5836e4e8fedf0973877ae7763d	[ "MIT" ]	null	null	null	a = 1 b = a+10 print(b)	3.5	8	0.428571	7	28	1.714286	0.714286	0	0	0	0	0	0	0	0	0	0.176471	0.392857	28	7	9	4	0.529412	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.333333	1	1	1	null	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
41f1a087dfb10bc733e835e6f036e946e543e97b	42	py	Python	inspirobot/error.py	divyankachaudhari/Inspirobot-Bookmarks	5ee47fc8262729902a8206f04078708679575065	[ "MIT" ]	3	2021-07-11T22:29:06.000Z	2021-11-08T09:14:28.000Z	inspirobot/error.py	divyankachaudhari/Inspirobot-Bookmarks	5ee47fc8262729902a8206f04078708679575065	[ "MIT" ]	2	2021-01-27T15:17:54.000Z	2021-06-01T16:21:45.000Z	inspirobot/error.py	divyankachaudhari/Inspirobot-Bookmarks	5ee47fc8262729902a8206f04078708679575065	[ "MIT" ]	2	2021-08-28T21:17:44.000Z	2022-02-09T06:13:10.000Z	class InsprioBotError(Exception): pass	21	33	0.785714	4	42	8.25	1	0	0	0	0	0	0	0	0	0	0	0.142857	42	2	34	21	0.916667	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	5
41f39ed249a09841e507ed2cdfea556cba314566	3,319	py	Python	Phase5/encapsImage.py	DamianoP/AdaptiveMethods	21a542f8e1c43a20bcce976b30b15bcf8ea91c52	[ "MIT" ]	2	2019-01-02T17:42:02.000Z	2019-01-09T09:11:37.000Z	Phase5/results/encapsImage.py	DamianoP/AdaptiveMethods	21a542f8e1c43a20bcce976b30b15bcf8ea91c52	[ "MIT" ]	null	null	null	Phase5/results/encapsImage.py	DamianoP/AdaptiveMethods	21a542f8e1c43a20bcce976b30b15bcf8ea91c52	[ "MIT" ]	null	null	null	import os print("ALL") os.system("python imageMultiClassifier.py ALL dataset_DecisionTree_ALL dataset_RandomForest_ALL dataset_SVM_ALL dataset_Bayesian_ALL") print("Alexnet") os.system("python imageMultiClassifier.py Alexnet Alexnet_DecisionTree_ALL Alexnet_RandomForest_ALL Alexnet_MLP_ALL Alexnet_Bayesian_ALL Alexnet_...	87.342105	221	0.877071	472	3,319	5.786017	0.055085	0.052728	0.092274	0.224094	0.533138	0.464299	0.464299	0.464299	0.464299	0.464299	0.022243	0.051823	3,319	38	222	87.342105	0.845567	0	0.432432	0	0.162162	0.866566	0.504518	0	0	0	1	0	true	0	0.027027	0	0.027027	0.486486	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	null	0	0	0	0	1	0	0	0	0	1	5
51092dfb49a6299ea6ecf1af47d0cd2ce7a3403f	104	py	Python	activities/admin.py	codyowl/activitytracker	c7d75a8bb24a45b34547c20eecb4de106889e7d8	[ "BSD-3-Clause" ]	10	2017-05-05T07:04:20.000Z	2021-05-14T04:51:46.000Z	activities/admin.py	codyowl/activitytracker	c7d75a8bb24a45b34547c20eecb4de106889e7d8	[ "BSD-3-Clause" ]	null	null	null	activities/admin.py	codyowl/activitytracker	c7d75a8bb24a45b34547c20eecb4de106889e7d8	[ "BSD-3-Clause" ]	null	null	null	from django.contrib import admin from activities.models import Activity admin.site.register(Activity)	17.333333	38	0.836538	14	104	6.214286	0.714286	0	0	0	0	0	0	0	0	0	0	0.105769	104	5	39	20.8	0.935484	0	0	0	0	0	0	0	0	0	1	0	true	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	0	null	0	0	0	0	1	0	1	0	1	0	5
511950a9beb5270fc9910ae25bf88cb5bf63a099	49	py	Python	app/Vendor/__init__.py	kylezhao96/sqgh-ms-flask	c340e9c56d2b9bb8ed45ebb13a01d1a4000a83ca	[ "Apache-2.0" ]	1	2019-12-11T01:26:00.000Z	2019-12-11T01:26:00.000Z	app/Vendor/__init__.py	huaSoftware/easy-flask-json-mvc-socketio	d6aec4b3e610b4cc04c1650801a061c8fb92030e	[ "Apache-2.0" ]	2	2021-03-20T04:33:46.000Z	2021-12-05T13:19:13.000Z	app/Vendor/__init__.py	kylezhao96/sqgh-ms-flask	c340e9c56d2b9bb8ed45ebb13a01d1a4000a83ca	[ "Apache-2.0" ]	null	null	null	__all__ = ['CustomErrorHandler', 'UsersAuthJWT']	24.5	48	0.755102	3	49	11	1	0	0	0	0	0	0	0	0	0	0	0.081633	49	1	49	49	0.733333	0	0	0	0	0.612245	0	0	0	0	1	0	false	0	0	0	0	0	1	1	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	5
5141526b9e1dfda39c1ec7c209ec590cb61338ab	29	py	Python	moviepy/version.py	livingbio/moviepy	29351dba07587547a0c80b800cd05e8abe061215	[ "MIT" ]	1	2016-11-21T21:03:30.000Z	2016-11-21T21:03:30.000Z	moviepy/version.py	livingbio/moviepy	29351dba07587547a0c80b800cd05e8abe061215	[ "MIT" ]	10	2016-08-27T04:01:32.000Z	2017-10-30T06:43:49.000Z	moviepy/version.py	livingbio/moviepy	29351dba07587547a0c80b800cd05e8abe061215	[ "MIT" ]	null	null	null	__version__ = "0.2.2.11.3.1"	14.5	28	0.62069	7	29	2	0.857143	0	0	0	0	0	0	0	0	0	0.269231	0.103448	29	1	29	29	0.269231	0	0	0	0	0.413793	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	1	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
5aa685da8aed5246187553b1cdc4c0b883b122e9	175	py	Python	aiosnow/models/_schema/fields/boolean.py	michaeldcanady/aiosnow	db515b1560d651fc7696a184990c2a2d68db8961	[ "MIT" ]	38	2020-08-03T17:58:48.000Z	2022-03-30T19:39:24.000Z	aiosnow/models/_schema/fields/boolean.py	michaeldcanady/aiosnow	db515b1560d651fc7696a184990c2a2d68db8961	[ "MIT" ]	34	2020-01-20T10:11:46.000Z	2020-06-05T21:25:23.000Z	aiosnow/models/_schema/fields/boolean.py	michaeldcanady/aiosnow	db515b1560d651fc7696a184990c2a2d68db8961	[ "MIT" ]	5	2021-03-26T19:35:20.000Z	2022-01-23T20:09:55.000Z	import marshmallow from aiosnow.query import BooleanQueryable from .base import BaseField class Boolean(marshmallow.fields.Boolean, BaseField, BooleanQueryable): pass	17.5	71	0.817143	19	175	7.526316	0.631579	0	0	0	0	0	0	0	0	0	0	0.131429	175	9	72	19.444444	0.940789	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.6	0	0.8	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	5
5ac48713e5581e6690306bd410df51fea3911405	11,431	py	Python	wetterdienst/provider/eccc/observation/metadata/unit.py	waltherg/wetterdienst	3c5c63b5b8d3e19511ad789bb499bdaa9b1976d9	[ "MIT" ]	null	null	null	wetterdienst/provider/eccc/observation/metadata/unit.py	waltherg/wetterdienst	3c5c63b5b8d3e19511ad789bb499bdaa9b1976d9	[ "MIT" ]	null	null	null	wetterdienst/provider/eccc/observation/metadata/unit.py	waltherg/wetterdienst	3c5c63b5b8d3e19511ad789bb499bdaa9b1976d9	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # Copyright (c) 2018-2021, earthobservations developers. # Distributed under the MIT License. See LICENSE for more info. from wetterdienst.metadata.unit import MetricUnit, OriginUnit, UnitEnum from wetterdienst.util.parameter import DatasetTreeCore class EcccObservationUnitOrigin(DatasetTreeCo...	54.433333	82	0.752778	1,233	11,431	6.631792	0.087591	0.140883	0.109576	0.057234	0.873915	0.819616	0.796136	0.724104	0.699768	0.676409	0.016585	0.192984	11,431	209	83	54.69378	0.86981	0.115475	0.602564	0	0	0	0	0	0	0	1	0	false	0	0.012821	0	0.076923	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
5ad5f4fec2928d800779de90501aab4fb2c13204	165	py	Python	appbak/core/__init__.py	Linyameng/alphadata-dev	7a48c9ddf24442a89f3f8ab1ba78e573c8844f26	[ "Apache-2.0" ]	null	null	null	appbak/core/__init__.py	Linyameng/alphadata-dev	7a48c9ddf24442a89f3f8ab1ba78e573c8844f26	[ "Apache-2.0" ]	null	null	null	appbak/core/__init__.py	Linyameng/alphadata-dev	7a48c9ddf24442a89f3f8ab1ba78e573c8844f26	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- """ Created on 2018/7/23 @author: xing yan """ from flask import Blueprint core = Blueprint('core', __name__) from . import views, errors	13.75	34	0.660606	23	165	4.565217	0.826087	0.247619	0	0	0	0	0	0	0	0	0.058824	0.175758	165	11	35	15	0.713235	0.375758	0	0	0	0.042105	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	1	5
5186dd25bf27049adc779a96b5745bed7758545a	3,267	py	Python	src/experiments/EMNLP2019/run_ner_active_learning.py	edwinrobots/arxiv2018-bayesian-ensembles	9b6bf8c9b08aa303f04f91028296ff092ca7a911	[ "Apache-2.0" ]	null	null	null	src/experiments/EMNLP2019/run_ner_active_learning.py	edwinrobots/arxiv2018-bayesian-ensembles	9b6bf8c9b08aa303f04f91028296ff092ca7a911	[ "Apache-2.0" ]	null	null	null	src/experiments/EMNLP2019/run_ner_active_learning.py	edwinrobots/arxiv2018-bayesian-ensembles	9b6bf8c9b08aa303f04f91028296ff092ca7a911	[ "Apache-2.0" ]	null	null	null	''' Created on April 27, 2018 @author: Edwin Simpson ''' from evaluation.experiment import Experiment import data.load_data as load_data import numpy as np import os gt, annos, doc_start, text, gt_nocrowd, doc_start_nocrowd, text_nocrowd, gt_val, _ = \ load_data.load_ner_data(False) # debug with subset ------- s...	35.129032	103	0.665136	459	3,267	4.416122	0.20915	0.047361	0.053281	0.041441	0.706956	0.706956	0.706956	0.706956	0.706956	0.706956	0.036356	0.233854	3,267	92	104	35.51087	0.773472	0.090603	0.478873	0	0	0.029512	0	0	0	0	1	0	false	0	0.056338	0	0.056338	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
518dfec88b868611be813fe3a4fd6e3e6ae85f69	402	py	Python	src/helpers/paths/interim.py	markrofail/airbnb-new-user-bookings-kaggle-	9e82b80e0fb514d7e0d65940bdd9880f895d3304	[ "MIT" ]	null	null	null	src/helpers/paths/interim.py	markrofail/airbnb-new-user-bookings-kaggle-	9e82b80e0fb514d7e0d65940bdd9880f895d3304	[ "MIT" ]	4	2020-03-24T17:30:39.000Z	2021-03-19T03:06:36.000Z	src/helpers/paths/interim.py	markrofail/airbnb-new-user-bookings-kaggle-	9e82b80e0fb514d7e0d65940bdd9880f895d3304	[ "MIT" ]	null	null	null	from .. import paths DATA_INTERIM_PATH = paths.DATA_PATH.joinpath('interim') def train_dataset(): return DATA_INTERIM_PATH.joinpath("train_users_2.csv") def test_dataset(): return DATA_INTERIM_PATH.joinpath("test_users.csv") def session_train(): return DATA_INTERIM_PATH.joinpath("train_sessions.csv")...	20.1	59	0.768657	56	402	5.160714	0.303571	0.190311	0.259516	0.290657	0.512111	0.512111	0	0	0	0	0.002825	0.119403	402	19	60	21.157895	0.813559	0	0	0	0	0.181592	0	0	0	0	1	0.4	false	0	0.1	0.4	0.9	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	5
51b17afe37344b11d6b9c0e97b1074c3b63e0ada	5,065	py	Python	a10sdk/core/ip/ip_list.py	deepfield/a10sdk-python	bfaa58099f51f085d5e91652d1d1a3fd5c529d5d	[ "Apache-2.0" ]	16	2015-05-20T07:26:30.000Z	2021-01-23T11:56:57.000Z	a10sdk/core/ip/ip_list.py	deepfield/a10sdk-python	bfaa58099f51f085d5e91652d1d1a3fd5c529d5d	[ "Apache-2.0" ]	6	2015-03-24T22:07:11.000Z	2017-03-28T21:31:18.000Z	a10sdk/core/ip/ip_list.py	deepfield/a10sdk-python	bfaa58099f51f085d5e91652d1d1a3fd5c529d5d	[ "Apache-2.0" ]	23	2015-03-29T15:43:01.000Z	2021-06-02T17:12:01.000Z	from a10sdk.common.A10BaseClass import A10BaseClass class Ipv6PrefixConfig(A10BaseClass): """This class does not support CRUD Operations please use parent. :param ipv6_prefix_to: {"type": "string", "description": "IPv6 Prefix Range End", "format": "ipv6-address-plen"} :param count: {"description": "...	42.563025	524	0.627048	599	5,065	5.200334	0.166945	0.044944	0.080899	0.064205	0.74992	0.71557	0.71557	0.71557	0.704976	0.704976	0.028365	0.206515	5,065	118	525	42.923729	0.746703	0.659427	0.465116	0	0	0.048512	0.015524	0	0	0	1	0.093023	false	0	0.023256	0	0.209302	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
51bb13a554d15bd94cf34512c25cfe936670065d	139	py	Python	view_model/tag_viewmodel.py	ghhernandes/brdevstreamers	32a0cd87943dcfe76ec8863c05b4a03d52814b96	[ "Apache-2.0" ]	16	2022-02-15T12:11:09.000Z	2022-03-01T01:59:41.000Z	view_model/tag_viewmodel.py	ghhernandes/brdevstreamers	32a0cd87943dcfe76ec8863c05b4a03d52814b96	[ "Apache-2.0" ]	2	2022-02-23T20:53:01.000Z	2022-02-28T17:22:10.000Z	view_model/tag_viewmodel.py	ghhernandes/brdevstreamers	32a0cd87943dcfe76ec8863c05b4a03d52814b96	[ "Apache-2.0" ]	7	2022-02-16T17:37:13.000Z	2022-03-01T02:00:17.000Z	from typing import Optional from pydantic import BaseModel class TagViewModel(BaseModel): name: Optional[str] id: Optional[str]	15.444444	30	0.755396	17	139	6.176471	0.647059	0.209524	0	0	0	0	0	0	0	0	0	0.179856	139	8	31	17.375	0.921053	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
51f2917600d6a6670c90520f3ac865325bb10e92	150	py	Python	Test.py	bosstb/YGY60W	7d8f1848c4c43ffad546ab2bec55084ba81e24fd	[ "MIT" ]	null	null	null	Test.py	bosstb/YGY60W	7d8f1848c4c43ffad546ab2bec55084ba81e24fd	[ "MIT" ]	null	null	null	Test.py	bosstb/YGY60W	7d8f1848c4c43ffad546ab2bec55084ba81e24fd	[ "MIT" ]	null	null	null	#coding=utf-8 from datetime import datetime import random #生成100个随机0,1之间的浮点数序列l l=0.1 l = random.randint(1, 100) l=float(l)/100 print datetime.today()	18.75	29	0.773333	26	150	4.461538	0.653846	0.241379	0	0	0	0	0	0	0	0	0.111111	0.1	150	8	30	18.75	0.748148	0.213333	0	0	0	0	0	0	0	0	0	null	null	0	0.333333	null	null	0.166667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	0	5
320a7ea45be6a6aa2d6defec99d30743ed0e6ee8	176	py	Python	super_mario/utils/lists.py	best-doctor/Mario	a6c83b9f7e7558a4e71d8acb00b8d164fe8eec6f	[ "MIT" ]	12	2020-01-30T02:19:16.000Z	2022-01-20T04:00:43.000Z	super_mario/utils/lists.py	best-doctor/Mario	a6c83b9f7e7558a4e71d8acb00b8d164fe8eec6f	[ "MIT" ]	32	2019-12-07T14:06:05.000Z	2020-06-26T07:12:03.000Z	super_mario/utils/lists.py	best-doctor/Mario	a6c83b9f7e7558a4e71d8acb00b8d164fe8eec6f	[ "MIT" ]	3	2020-08-21T07:54:53.000Z	2021-01-11T12:05:48.000Z	from typing import List, Iterable, TypeVar T = TypeVar('T') def flat(some_list: Iterable[Iterable]) -> List: return [item for sublist in some_list for item in sublist]	19.555556	62	0.721591	27	176	4.62963	0.555556	0.192	0	0	0	0	0	0	0	0	0	0.181818	176	8	63	22	0.868056	0	0	0	0	0.005682	0	0	0	0	1	0.25	false	0	0.25	0.25	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	5
5c95643074b9d4a18ace3416c7a430b9a030da43	148	py	Python	core/admin.py	SejaMuchhal/PizzaStore	268ee7df8040616fc8cd6f59a74440b8428db000	[ "MIT" ]	1	2021-04-06T17:01:52.000Z	2021-04-06T17:01:52.000Z	core/admin.py	SejaMuchhal/PizzaStore	268ee7df8040616fc8cd6f59a74440b8428db000	[ "MIT" ]	null	null	null	core/admin.py	SejaMuchhal/PizzaStore	268ee7df8040616fc8cd6f59a74440b8428db000	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Topping, Pizza, PizzaSize Models = (Topping, Pizza, PizzaSize) admin.site.register(Models)	16.444444	45	0.777027	19	148	6.052632	0.578947	0.208696	0.365217	0	0	0	0	0	0	0	0	0.135135	148	8	46	18.5	0.898438	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	5
5c98323f8b526ffe7ba84f5b3e225f334900d7b5	368	py	Python	core/admin/__init__.py	Klexus1/Whys	9c7f2de803e2f2c981f06c127951225e1ed361bd	[ "MIT" ]	null	null	null	core/admin/__init__.py	Klexus1/Whys	9c7f2de803e2f2c981f06c127951225e1ed361bd	[ "MIT" ]	1	2021-04-16T09:03:02.000Z	2021-04-16T20:21:25.000Z	core/admin/__init__.py	Klexus1/Whys	9c7f2de803e2f2c981f06c127951225e1ed361bd	[ "MIT" ]	null	null	null	from .AttributeAdmin import AttributeAdmin from .AttributeNameAdmin import AttributeNameAdmin from .AttributeValueAdmin import AttributeValueAdmin from .CatalogAdmin import CatalogAdmin from .ImageAdmin import ImageAdmin from .ProductAdmin import ProductAdmin from .ProductImageAdmin import ProductImageAdmin from .Produ...	40.888889	58	0.891304	32	368	10.25	0.3125	0	0	0	0	0	0	0	0	0	0	0.086957	368	8	59	46	0.97619	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	5
5cb271eb08672289e5555ff8ff33bb4bb42c079e	27,222	py	Python	test/test_api/test_api.py	maxpark/Auto-PyTorch	06e67de5017b4cccad9398e24a3d9f0bd8176da3	[ "Apache-2.0" ]	1	2022-03-02T06:57:55.000Z	2022-03-02T06:57:55.000Z	test/test_api/test_api.py	maxpark/Auto-PyTorch	06e67de5017b4cccad9398e24a3d9f0bd8176da3	[ "Apache-2.0" ]	null	null	null	test/test_api/test_api.py	maxpark/Auto-PyTorch	06e67de5017b4cccad9398e24a3d9f0bd8176da3	[ "Apache-2.0" ]	null	null	null	import json import os import pathlib import pickle import unittest from test.test_api.utils import dummy_do_dummy_prediction, dummy_eval_function import ConfigSpace as CS from ConfigSpace.configuration_space import Configuration import numpy as np import pandas as pd import pytest import sklearn import sklearn.da...	42.009259	120	0.681912	3,353	27,222	5.265732	0.123472	0.013593	0.019937	0.015066	0.791855	0.780698	0.777073	0.774694	0.77073	0.749207	0.008792	0.231173	27,222	647	121	42.074189	0.834823	0.11296	0.683084	0	0	0.11952	0.074222	0	0.003091	0.134904	1	0.019272	false	0	0.051392	0	0.070664	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
7a2375de2da72033f927968ea02c6bafd357fed5	203	py	Python	ngsutils/bam/tofasta.py	bgruening/ngsutils	417e90dc1918fb553dd84990f2c54bd8cea8f44d	[ "BSD-3-Clause" ]	57	2015-03-09T01:26:45.000Z	2022-02-22T07:26:01.000Z	ngsutils/bam/tofasta.py	bgruening/ngsutils	417e90dc1918fb553dd84990f2c54bd8cea8f44d	[ "BSD-3-Clause" ]	33	2015-02-03T23:24:46.000Z	2022-03-16T20:08:10.000Z	ngsutils/bam/tofasta.py	bgruening/ngsutils	417e90dc1918fb553dd84990f2c54bd8cea8f44d	[ "BSD-3-Clause" ]	33	2015-01-18T16:47:47.000Z	2022-02-22T07:28:09.000Z	#!/usr/bin/env python ## category Conversion ## desc Convert BAM reads to FASTA sequences ''' Convert BAM reads to FASTA sequences ''' import tofastq if __name__ == '__main__': tofastq.main(False)	16.916667	44	0.719212	27	203	5.111111	0.703704	0.144928	0.217391	0.246377	0.449275	0.449275	0	0	0	0	0	0.167488	203	11	45	18.454545	0.816568	0.586207	0	0	0	0.111111	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
7a8d66186a0bc3dea3af73f74b4d29c15b05a3b8	39	py	Python	tests/integration/__init__.py	mullinix/clean-jdr	d7bbab4814d2d334f71e22d02940944cc6f4f635	[ "MIT" ]	null	null	null	tests/integration/__init__.py	mullinix/clean-jdr	d7bbab4814d2d334f71e22d02940944cc6f4f635	[ "MIT" ]	2	2022-01-15T16:23:26.000Z	2022-01-15T16:25:34.000Z	tests/integration/__init__.py	mullinix/clean-jdr	d7bbab4814d2d334f71e22d02940944cc6f4f635	[ "MIT" ]	null	null	null	"""Integration tests for clean-jdr."""	19.5	38	0.692308	5	39	5.4	1	0	0	0	0	0	0	0	0	0	0	0.102564	39	1	39	39	0.771429	0.820513	null	0	null	0	0	null	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	1	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
8fb6a6fb30faba12853945092d67880358f08222	35,337	py	Python	sr_test2.py	bpwagner/inkscape-pes	080269ccf623dd0efe9337b3b9f49ee098401414	[ "MIT" ]	6	2017-06-12T13:32:51.000Z	2022-01-08T05:30:30.000Z	sr_test2.py	bpwagner/inkscape-pes	080269ccf623dd0efe9337b3b9f49ee098401414	[ "MIT" ]	null	null	null	sr_test2.py	bpwagner/inkscape-pes	080269ccf623dd0efe9337b3b9f49ee098401414	[ "MIT" ]	1	2022-01-08T05:30:33.000Z	2022-01-08T05:30:33.000Z	import numpy as np import matplotlib.pyplot as plt #points are in mm coming from inkscape pts = [(88.90000000035559, 76.200000000304797), (88.90000000035559, 76.200000000304797), (88.134125089241422, 76.370194111416581), (87.145221244793021, 77.125361511419612), (86.682540489235606, 76.200000000304797), (86.562336...	128.032609	29,324	0.770156	3,999	35,337	6.75944	0.351338	0.002368	0.004439	0.00566	0.054789	0.048426	0.041249	0.039362	0.038252	0.037586	0.739189	0.080539	35,337	275	29,325	128.498182	0.092764	0.03328	0.370166	0	0	0.002246	0	0	0	0	0	null	null	0	0.016575	null	null	0.071823	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	5
8fe59fbf26f2681074c6895ad17546d3cdde9b6d	27	py	Python	tests/__init__.py	joesecurity/carbonblack-connector	040390141714ebdb92e4bc2e7938610670c83a2f	[ "MIT" ]	3	2018-04-25T21:11:45.000Z	2021-04-07T06:58:42.000Z	tests/__init__.py	joesecurity/carbonblack-connector	040390141714ebdb92e4bc2e7938610670c83a2f	[ "MIT" ]	null	null	null	tests/__init__.py	joesecurity/carbonblack-connector	040390141714ebdb92e4bc2e7938610670c83a2f	[ "MIT" ]	null	null	null	from .test_bridge import *	13.5	26	0.777778	4	27	5	1	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	0.869565	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
8ff02bf3cb67a496d08d00a72923a6158c8facc8	73	py	Python	ntab/__init__.py	alexhsamuel/ntab	9039d0e10d0f1a86fb16a33c05c79dfb931b28ef	[ "MIT" ]	null	null	null	ntab/__init__.py	alexhsamuel/ntab	9039d0e10d0f1a86fb16a33c05c79dfb931b28ef	[ "MIT" ]	15	2017-05-10T21:46:14.000Z	2018-12-01T10:37:17.000Z	ntab/__init__.py	alexhsamuel/ntab	9039d0e10d0f1a86fb16a33c05c79dfb931b28ef	[ "MIT" ]	null	null	null	from .tab import * from . import fn from .groupby import GroupBy	12.166667	30	0.671233	10	73	4.9	0.5	0	0	0	0	0	0	0	0	0	0	0.273973	73	5	31	14.6	0.924528	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	0	null	0	0	0	0	1	0	1	0	1	0	5
8f02c502ed9ed43d9c738699551456c9c7123470	41	py	Python	src/discordemoji/resources/__init__.py	PommeBleue/discord-emoji	af63436fc952dbeff95df34cef2a45159c91ee15	[ "MIT" ]	1	2021-06-18T09:37:53.000Z	2021-06-18T09:37:53.000Z	src/discordemoji/resources/__init__.py	Tari-dev/discord-emoji	40548682973463a16dcf1a119992c5c8a0e84543	[ "MIT" ]	1	2021-06-18T09:59:32.000Z	2021-06-23T09:03:52.000Z	src/discordemoji/resources/__init__.py	Tari-dev/discord-emoji	40548682973463a16dcf1a119992c5c8a0e84543	[ "MIT" ]	1	2021-06-22T15:37:08.000Z	2021-06-22T15:37:08.000Z	from .dictionaries import emojis, sijome	20.5	40	0.829268	5	41	6.8	1	0	0	0	0	0	0	0	0	0	0	0.121951	41	1	41	41	0.944444	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
8f4a866241d521459606b9e1186dceeba4c8a75f	298	py	Python	cvstudio/util/__init__.py	haruiz/PytorchCvStudio	ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef	[ "MIT" ]	32	2019-10-31T03:10:52.000Z	2020-12-23T11:50:53.000Z	cvstudio/util/__init__.py	haruiz/CvStudio	ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef	[ "MIT" ]	19	2019-10-31T15:06:05.000Z	2020-06-15T02:21:55.000Z	cvstudio/util/__init__.py	haruiz/PytorchCvStudio	ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef	[ "MIT" ]	8	2019-10-31T03:32:50.000Z	2020-07-17T20:47:37.000Z	from .async_utilities import Worker from .color_utilities import ColorUtilities, ColorFormat from .file_utilities import FileUtilities from .gui_utilities import GUIUtilities from .img_util import ImageUtilities from .misc_utilities import MiscUtilities from .video_utilities import VideoUtilities	37.25	56	0.875839	36	298	7.055556	0.527778	0.354331	0	0	0	0	0	0	0	0	0	0.097315	298	7	57	42.571429	0.944238	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	5
8f5e5ff8e1d9ac5f64454b89aef341d22b733ed4	10,271	py	Python	tests/wrappers/test_concatenate.py	bosonie/aiida-optimize	0f05f3539078ae1ccb42ec266760f6d039af6bd2	[ "Apache-2.0" ]	null	null	null	tests/wrappers/test_concatenate.py	bosonie/aiida-optimize	0f05f3539078ae1ccb42ec266760f6d039af6bd2	[ "Apache-2.0" ]	22	2019-09-26T20:30:34.000Z	2021-12-08T23:32:28.000Z	tests/wrappers/test_concatenate.py	bosonie/aiida-optimize	0f05f3539078ae1ccb42ec266760f6d039af6bd2	[ "Apache-2.0" ]	6	2020-08-17T05:40:32.000Z	2022-02-23T11:58:20.000Z	# -- coding: utf-8 -- """ Tests for the ConcatenateWorkChain. """ # pylint: disable=unused-argument,redefined-outer-name,invalid-name import pytest from aiida import orm from aiida.plugins import WorkflowFactory from aiida.engine.launch import run_get_node from aiida_tools.process_inputs import get_fullname from ...	31.897516	147	0.479116	954	10,271	4.987421	0.118449	0.06095	0.103615	0.082177	0.807272	0.796343	0.760404	0.703867	0.682219	0.682219	0.004678	0.375621	10,271	321	148	31.996885	0.737252	0.077987	0.691406	0	0	0.137916	0.02167	0	0	0.148438	1	0.027344	false	0.007813	0.023438	0	0.050781	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
8f7f4ea8aef1da9684d4bb71223d5497ab80c3bd	80	py	Python	rlephant/__init__.py	axelbr/rlephant	d65be0b4e9d0b236368cfc215d950de2cdb73065	[ "MIT" ]	2	2020-10-16T06:59:45.000Z	2020-10-25T12:54:11.000Z	rlephant/__init__.py	axelbr/rlephant	d65be0b4e9d0b236368cfc215d950de2cdb73065	[ "MIT" ]	null	null	null	rlephant/__init__.py	axelbr/rlephant	d65be0b4e9d0b236368cfc215d950de2cdb73065	[ "MIT" ]	null	null	null	from .entities import Episode, Transition from .persistence import ReplayStorage	40	41	0.8625	9	80	7.666667	0.777778	0	0	0	0	0	0	0	0	0	0	0.1	80	2	42	40	0.958333	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	0	null	0	0	0	0	1	0	1	0	1	0	5
56bdf48d0b08639fa27d46d3cec76ae98c70a4dc	52	py	Python	aparatpy/__init__.py	dori-dev/aparatpy	42539398966ef2c30302c1b3843b9bbc19e1cb0f	[ "MIT" ]	3	2021-12-14T19:00:04.000Z	2022-02-26T13:21:37.000Z	aparatpy/__init__.py	dori-dev/aparatpy	42539398966ef2c30302c1b3843b9bbc19e1cb0f	[ "MIT" ]	null	null	null	aparatpy/__init__.py	dori-dev/aparatpy	42539398966ef2c30302c1b3843b9bbc19e1cb0f	[ "MIT" ]	null	null	null	"""aparatpy init """ from aparatpy.main import Main	13	30	0.730769	7	52	5.428571	0.714286	0	0	0	0	0	0	0	0	0	0	0.134615	52	3	31	17.333333	0.844444	0.25	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	0	null	0	0	0	0	1	0	1	0	1	0	5
56cc3d87274535d37cc18b50ee6bdabed5732a26	218	py	Python	python/fastscore/v1/apis/__init__.py	modelop/fastscore-sdk	2206a4b9294cd83b6b8c2470193070bdc35a9061	[ "Apache-2.0" ]	2	2018-06-05T19:14:30.000Z	2019-02-06T17:15:10.000Z	python/fastscore/v1/apis/__init__.py	modelop/fastscore-sdk	2206a4b9294cd83b6b8c2470193070bdc35a9061	[ "Apache-2.0" ]	2	2018-02-20T21:58:43.000Z	2018-10-07T10:10:54.000Z	python/fastscore/v1/apis/__init__.py	modelop/fastscore-sdk	2206a4b9294cd83b6b8c2470193070bdc35a9061	[ "Apache-2.0" ]	1	2017-12-29T20:38:06.000Z	2017-12-29T20:38:06.000Z	from __future__ import absolute_import # import apis into api package from .connect_api import ConnectApi from .engine_api import EngineApi from .login_api import LoginApi from .model_manage_api import ModelManageApi	27.25	44	0.853211	31	218	5.677419	0.548387	0.204545	0	0	0	0	0	0	0	0	0	0.123853	218	7	45	31.142857	0.921466	0.12844	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	5
56e09bda49ec5c32f15874eca0daf9a5610cee85	147	bzl	Python	code-examples/absl_flags_demos/third_party/common.bzl	storypku/storydev	61fbfbf665a5e6e2f1bcfdf80ce6bf21d9e28b95	[ "Apache-2.0" ]	6	2020-06-11T08:31:48.000Z	2022-03-29T17:06:42.000Z	code-examples/absl_flags_demos/third_party/common.bzl	storypku/storydev	61fbfbf665a5e6e2f1bcfdf80ce6bf21d9e28b95	[ "Apache-2.0" ]	1	2020-06-03T01:45:52.000Z	2021-07-17T14:49:53.000Z	code-examples/absl_flags_demos/third_party/common.bzl	storypku/storydev	61fbfbf665a5e6e2f1bcfdf80ce6bf21d9e28b95	[ "Apache-2.0" ]	1	2022-03-30T15:41:12.000Z	2022-03-30T15:41:12.000Z	# Sanitize a dependency so that it works correctly from code that includes # QCraft as a submodule. def clean_dep(dep): return str(Label(dep))	29.4	74	0.755102	24	147	4.583333	0.833333	0	0	0	0	0	0	0	0	0	0	0.176871	147	4	75	36.75	0.909091	0.646259	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	5
7102f86094b69318df0281869cc18ca0ace35b2e	188	py	Python	glove/metrics/__init__.py	flo3003/glove-python	9914dce7fa021ccd93d71074764e1aa029fce628	[ "Apache-2.0" ]	null	null	null	glove/metrics/__init__.py	flo3003/glove-python	9914dce7fa021ccd93d71074764e1aa029fce628	[ "Apache-2.0" ]	null	null	null	glove/metrics/__init__.py	flo3003/glove-python	9914dce7fa021ccd93d71074764e1aa029fce628	[ "Apache-2.0" ]	null	null	null	from .accuracy import (read_analogy_file, construct_analogy_test_set, analogy_rank_score, modified_analogy_rank_score)	37.6	51	0.56383	17	188	5.647059	0.705882	0.229167	0.333333	0	0	0	0	0	0	0	0	0.404255	188	4	52	47	0.857143	0	0	0	0	0	0	0	0	0	1	0	true	0	0.25	0	0.25	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
712993af951b64d71608d7158756c622b60e320d	141	py	Python	src/introducao/10_atributos_estaticos.py	SamuelPossamai/material_auxilio_conceitos_python	44c15e72f7409441fe0db38288dac782f0cbc94d	[ "MIT" ]	1	2022-02-08T23:39:11.000Z	2022-02-08T23:39:11.000Z	src/introducao/10_atributos_estaticos.py	SamuelPossamai/material_auxilio_conceitos_python	44c15e72f7409441fe0db38288dac782f0cbc94d	[ "MIT" ]	null	null	null	src/introducao/10_atributos_estaticos.py	SamuelPossamai/material_auxilio_conceitos_python	44c15e72f7409441fe0db38288dac782f0cbc94d	[ "MIT" ]	null	null	null	class Classe: atributo_da_classe = 0 print(Classe.atributo_da_classe) Classe.atributo_da_classe = 5 print(Classe.atributo_da_classe)	14.1	32	0.801418	21	141	5	0.333333	0.533333	0.609524	0.838095	0.514286	0	0	0	0	0	0.01626	0.12766	141	9	33	15.666667	0.837398	0	0.4	0	0	0	0	0	0	0	1	0	false	0	0	0	0.4	0.4	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
85ac7296a690709989167627d72b66f0c5966be9	61	py	Python	staking_bot_template/predictors/__init__.py	rajdua22/staking-bot-template	e241bae0d131a6db588eefae453b1e13b3e71b4b	[ "MIT" ]	null	null	null	staking_bot_template/predictors/__init__.py	rajdua22/staking-bot-template	e241bae0d131a6db588eefae453b1e13b3e71b4b	[ "MIT" ]	null	null	null	staking_bot_template/predictors/__init__.py	rajdua22/staking-bot-template	e241bae0d131a6db588eefae453b1e13b3e71b4b	[ "MIT" ]	null	null	null	from staking_bot_template.predictors.example import Example	20.333333	59	0.885246	8	61	6.5	0.875	0	0	0	0	0	0	0	0	0	0	0.081967	61	2	60	30.5	0.928571	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	0	null	0	0	0	0	1	0	1	0	1	0	5
a416eb0a7c13c4dd430e7ebde521fabfff1ae04e	157	py	Python	src/illumidesk/setup_course/constants.py	Abhi94N/illumidesk	4cf07e3bd278931ac404f7482e92a4ec35827aa9	[ "MIT" ]	null	null	null	src/illumidesk/setup_course/constants.py	Abhi94N/illumidesk	4cf07e3bd278931ac404f7482e92a4ec35827aa9	[ "MIT" ]	null	null	null	src/illumidesk/setup_course/constants.py	Abhi94N/illumidesk	4cf07e3bd278931ac404f7482e92a4ec35827aa9	[ "MIT" ]	null	null	null	NB_GRADER_CONFIG_TEMPLATE = """ c = get_config() c.CourseDirectory.root = '/home/{grader_name}/{course_id}' c.CourseDirectory.course_id = '{course_id}' """	22.428571	58	0.726115	21	157	5.047619	0.571429	0.226415	0	0	0	0	0	0	0	0	0	0.089172	157	6	59	26.166667	0.741259	0	0	0	0	0.77707	0.522293	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	1	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	5
a4540397fafd412a326eaf789da2331a1525fc28	123	py	Python	vega/algorithms/compression/prune_ea/__init__.py	qixiuai/vega	3e6588ea4aedb03e3594a549a97ffdb86adb88d1	[ "MIT" ]	12	2020-12-13T08:34:24.000Z	2022-03-20T15:17:17.000Z	vega/algorithms/compression/prune_ea/__init__.py	JacobLee121/vega	19256aca4d047bfad3b461f0a927e1c2abb9eb03	[ "MIT" ]	3	2021-03-31T20:15:40.000Z	2022-02-09T23:50:46.000Z	built-in/TensorFlow/Research/cv/image_classification/Darts_for_TensorFlow/automl/vega/algorithms/compression/prune_ea/__init__.py	Huawei-Ascend/modelzoo	df51ed9c1d6dbde1deef63f2a037a369f8554406	[ "Apache-2.0" ]	2	2021-06-25T09:42:32.000Z	2021-08-06T18:00:09.000Z	from .prune_ea import PruneEA from .prune_codec import PruneCodec from .prune_trainer_callback import PruneTrainerCallback	30.75	56	0.878049	16	123	6.5	0.625	0.259615	0	0	0	0	0	0	0	0	0	0.097561	123	3	57	41	0.936937	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
a4810f511bccf14ebfab5f4d2e0f81dde0b76e0b	104	py	Python	algorithm_toolkit/views/__init__.py	jrmh96/algorithm_toolkit	4a39e26d89973c6d1e229952f46d413b93c27df9	[ "MIT" ]	9	2019-02-25T03:41:14.000Z	2021-02-04T19:47:58.000Z	algorithm_toolkit/views/__init__.py	jrmh96/algorithm_toolkit	4a39e26d89973c6d1e229952f46d413b93c27df9	[ "MIT" ]	24	2019-08-23T17:04:00.000Z	2022-03-11T23:41:08.000Z	algorithm_toolkit/views/__init__.py	jrmh96/algorithm_toolkit	4a39e26d89973c6d1e229952f46d413b93c27df9	[ "MIT" ]	4	2019-03-05T02:14:20.000Z	2020-02-12T20:11:16.000Z	from flask import Blueprint home = Blueprint('home', __name__) manage = Blueprint('manage', __name__)	17.333333	38	0.75	12	104	5.833333	0.583333	0.371429	0	0	0	0	0	0	0	0	0	0.134615	104	5	39	20.8	0.777778	0	0	0	0	0.096154	0	0	0	0	1	0	false	0	0.333333	0	0.333333	1	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	1	5
a4879af7bab933b77c8aaea372c15c07c70e0afe	251	py	Python	001719StepPyStudyJr/StepPyStudyJr_lesson09_01_lists_08_pop_20210308.py	SafonovMikhail/python_000577	739f764e80f1ca354386f00b8e9db1df8c96531d	[ "Apache-2.0" ]	null	null	null	001719StepPyStudyJr/StepPyStudyJr_lesson09_01_lists_08_pop_20210308.py	SafonovMikhail/python_000577	739f764e80f1ca354386f00b8e9db1df8c96531d	[ "Apache-2.0" ]	null	null	null	001719StepPyStudyJr/StepPyStudyJr_lesson09_01_lists_08_pop_20210308.py	SafonovMikhail/python_000577	739f764e80f1ca354386f00b8e9db1df8c96531d	[ "Apache-2.0" ]	null	null	null	students = ['Lilly', 'Olivia', 'Emily', 'Sophia'] students.pop() # ['Lilly', 'Olivia', 'Emily'] (пособие) print(students) # ['Lilly', 'Olivia', 'Emily'] students.pop(1) # ['Lilly', 'Emily', 'Sophia'] (пособие) print(students) # ['Lilly', 'Emily']	41.833333	57	0.601594	27	251	5.592593	0.333333	0.258278	0.317881	0.317881	0	0	0	0	0	0	0.004545	0.123506	251	5	58	50.2	0.681818	0.498008	0.4	0	0	0.181818	0	0	0	0	1	0	false	0	0	0	0	0.4	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
a4a4c1d37bf07c8ba604c4d2a331b77c326422b7	50	py	Python	simple_sqlite3/__init__.py	Ap0c/simple-sqlite3	c7eb98d10a4bd64e56861370f04b859d207a576f	[ "MIT" ]	null	null	null	simple_sqlite3/__init__.py	Ap0c/simple-sqlite3	c7eb98d10a4bd64e56861370f04b859d207a576f	[ "MIT" ]	1	2016-06-18T17:22:35.000Z	2016-06-18T17:22:35.000Z	simple_sqlite3/__init__.py	Ap0c/simple-sqlite3	c7eb98d10a4bd64e56861370f04b859d207a576f	[ "MIT" ]	null	null	null	# ----- Imports ----- # from .db import Database	12.5	24	0.54	5	50	5.4	1	0	0	0	0	0	0	0	0	0	0	0.2	50	3	25	16.666667	0.675	0.38	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	0	null	0	0	0	0	1	0	1	0	1	0	5
f1719e245c0d0e3a3ca51f1da25c805123bd3810	111,476	py	Python	src/experiment/SeparatedVarianceSelector.py	MWSanders/AssociationAbacMiner	4792b31ea980493937db83c50f3287abf0df08b4	[ "Apache-2.0" ]	2	2020-03-23T23:58:23.000Z	2022-03-16T10:26:28.000Z	src/experiment/SeparatedVarianceSelector.py	MWSanders/AssociationAbacMiner	4792b31ea980493937db83c50f3287abf0df08b4	[ "Apache-2.0" ]	null	null	null	src/experiment/SeparatedVarianceSelector.py	MWSanders/AssociationAbacMiner	4792b31ea980493937db83c50f3287abf0df08b4	[ "Apache-2.0" ]	1	2020-08-07T23:38:41.000Z	2020-08-07T23:38:41.000Z	import random from collections import Counter import pandas as pd from sklearn.feature_extraction import DictVectorizer from sklearn.feature_selection import * from src.config import config from src.job import job_utls from src.model import RuleUtils from pymongo import MongoClient from src.model.ConfigurableEventNor...	275.930693	87,591	0.853224	8,821	111,476	10.216982	0.159846	0.020416	0.01468	0.012405	0.147264	0.075418	0.059152	0.046403	0.037914	0.033321	0.007872	0.071325	111,476	404	87,592	275.930693	0.862681	0.068051	0.137681	0	0.003623	0.795631	0.780032	0	0	0	1	0.036232	false	0.003623	0.043478	0	0.105072	0.119565	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	5
f187d7d704b1cec6eb5365b57b3a7f2a353d64d0	158	py	Python	gentelella/registeration/models.py	horoyoii/admin_dashboard_edgex	9aea5e43eeb3da17d9e9c65c3ed0337fe7694cb8	[ "MIT" ]	2	2020-05-24T20:34:41.000Z	2021-08-28T07:27:45.000Z	dashboard/registeration/models.py	horoyoii/graduation_piece	4f907a10636e3862d09e950c6eb5f12e95b1a8e5	[ "MIT" ]	5	2021-03-19T09:14:10.000Z	2021-06-10T19:54:28.000Z	dashboard/registeration/models.py	horoyoii/graduation_piece	4f907a10636e3862d09e950c6eb5f12e95b1a8e5	[ "MIT" ]	1	2021-08-28T07:27:48.000Z	2021-08-28T07:27:48.000Z	from django.db import models # Create your models here. class Device_profile(models.Model): device_profile_file = models.FileField(blank=True, null=True)	31.6	65	0.791139	23	158	5.304348	0.73913	0.213115	0	0	0	0	0	0	0	0	0	0.120253	158	5	65	31.6	0.877698	0.151899	0	0	0	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	5
f18c6dd959b69d2b2ee9d44943d0d819a5d73f26	80	py	Python	main/autogen_cached_items.py	mace2305/droughtidx_climatedrver_dashboard	3503199f8a19e1e3b0c391875c141af21952db82	[ "MIT" ]	null	null	null	main/autogen_cached_items.py	mace2305/droughtidx_climatedrver_dashboard	3503199f8a19e1e3b0c391875c141af21952db82	[ "MIT" ]	null	null	null	main/autogen_cached_items.py	mace2305/droughtidx_climatedrver_dashboard	3503199f8a19e1e3b0c391875c141af21952db82	[ "MIT" ]	null	null	null	# to run modules without streamlit, just to generate cache for report submission	80	80	0.825	12	80	5.5	0.916667	0	0	0	0	0	0	0	0	0	0	0.15	80	1	80	80	0.970588	0.975	null	1	null	0	0	null	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	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
7431b7ac2d80d19565a778af37fab86c299faf2d	90	py	Python	docs/examples/credentials.py	vlastikczech/zang-python	980f5243071404d6838554500a6955ff7bc2a0c7	[ "MIT" ]	1	2019-02-18T21:51:58.000Z	2019-02-18T21:51:58.000Z	docs/examples/credentials.py	vlastikczech/zang-python	980f5243071404d6838554500a6955ff7bc2a0c7	[ "MIT" ]	6	2019-06-26T13:56:22.000Z	2022-02-17T16:40:48.000Z	docs/examples/credentials.py	vlastikczech/zang-python	980f5243071404d6838554500a6955ff7bc2a0c7	[ "MIT" ]	6	2017-10-17T12:44:32.000Z	2020-02-07T20:45:00.000Z	sid = 'ACxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' authToken = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'	30	46	0.866667	4	90	19.5	1	0	0	0	0	0	0	0	0	0	0	0.066667	90	2	47	45	0.928571	0	0	0	0	0.733333	0.733333	0	0	0	1	0	false	0	0	0	0	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	5
745aea1cb208bf74e8d50e6db48416abbef43c47	40	py	Python	python_tutorial/passfunction.py	vchatchai/python101	c2f1c7b0f62a4600f9c64af566dc5630742580f2	[ "Apache-2.0" ]	null	null	null	python_tutorial/passfunction.py	vchatchai/python101	c2f1c7b0f62a4600f9c64af566dc5630742580f2	[ "Apache-2.0" ]	null	null	null	python_tutorial/passfunction.py	vchatchai/python101	c2f1c7b0f62a4600f9c64af566dc5630742580f2	[ "Apache-2.0" ]	null	null	null	def function(a): pass function(10)	8	16	0.65	6	40	4.333333	0.833333	0	0	0	0	0	0	0	0	0	0.064516	0.225	40	5	17	8	0.774194	0	0	0	0	0	0	0	0	0	1	0.333333	false	0.333333	0	0	0.333333	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	0	5
746be4bfc7f40cefd13d2a36be0f6fe646efa782	65	py	Python	okta/exceptions/__init__.py	corylevine/okta-sdk-python	c86b8fdc4525e84199143c27213c0aebc6b2af8f	[ "Apache-2.0" ]	145	2017-06-13T21:54:04.000Z	2022-02-25T05:44:34.000Z	okta/exceptions/__init__.py	corylevine/okta-sdk-python	c86b8fdc4525e84199143c27213c0aebc6b2af8f	[ "Apache-2.0" ]	146	2017-06-02T17:46:12.000Z	2022-03-29T15:52:15.000Z	okta/exceptions/__init__.py	corylevine/okta-sdk-python	c86b8fdc4525e84199143c27213c0aebc6b2af8f	[ "Apache-2.0" ]	98	2017-06-27T03:44:51.000Z	2022-03-23T04:58:18.000Z	from . exceptions import HTTPException, OktaAPIException # noqa	32.5	64	0.815385	6	65	8.833333	1	0	0	0	0	0	0	0	0	0	0	0.138462	65	1	65	65	0.946429	0.061538	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	0	null	0	0	0	0	1	0	1	0	1	0	5
749bf969cff5f780731d4fcc01e4749233adf81e	526	py	Python	tests/basics/subclass-native2.py	lurch/micropython	28dfbc2ba2ef41a7810e4e39290031eb2207a0a9	[ "MIT" ]	null	null	null	tests/basics/subclass-native2.py	lurch/micropython	28dfbc2ba2ef41a7810e4e39290031eb2207a0a9	[ "MIT" ]	null	null	null	tests/basics/subclass-native2.py	lurch/micropython	28dfbc2ba2ef41a7810e4e39290031eb2207a0a9	[ "MIT" ]	null	null	null	class Base1: def __init__(self, *args): print("Base1.__init__",args) class Clist1(Base1, list): pass class Ctuple1(Base1, tuple): pass a = Clist1() print(len(a)) a = Clist1([1, 2, 3]) print(len(a)) a = Ctuple1() print(len(a)) a = Ctuple1([1, 2, 3]) # TODO: Faults #print(len(a)) print("---") cl...	13.842105	36	0.589354	85	526	3.552941	0.247059	0.211921	0.238411	0.198676	0.284768	0.125828	0.086093	0	0	0	0.070755	0.193916	526	37	37	14.216216	0.641509	0.163498	0.391304	0	0	0.039261	0	0	0.027027	0	1	0.043478	false	0.173913	0	0	0.26087	0.304348	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	1	0	0	0	0	1	0	0	0	0	5
77751b94cf23287ba4b0c80bf25a8e2c40f6acb0	112	py	Python	src/test/resources/python_file.py	ncordon/scala-client	d98840187815f15fc3f88d1818bccd2a833fc968	[ "Apache-2.0" ]	4	2017-10-23T16:13:31.000Z	2019-07-02T03:34:10.000Z	src/test/resources/python_file.py	ncordon/scala-client	d98840187815f15fc3f88d1818bccd2a833fc968	[ "Apache-2.0" ]	45	2017-09-18T13:47:32.000Z	2019-07-08T17:08:33.000Z	src/test/resources/python_file.py	ncordon/scala-client	d98840187815f15fc3f88d1818bccd2a833fc968	[ "Apache-2.0" ]	9	2017-09-18T12:56:11.000Z	2019-07-08T08:53:07.000Z	#!/usr/bin/env python from __future__ import print_function if __name__ == '__main__': print('hello world')	16	37	0.732143	15	112	4.6	0.933333	0	0	0	0	0	0	0	0	0	0	0.142857	112	6	38	18.666667	0.71875	0.178571	0	0	0	0.208791	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0.666667	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	5
77f3c5a79090df27d62c1130220cf7bba4c372e8	1,691	py	Python	codewars/6kyu/doha22/twisted_sum/bench_test.py	doha22/Training_one	0cd7cf86c7da0f6175834146296b763d1841766b	[ "MIT" ]	null	null	null	codewars/6kyu/doha22/twisted_sum/bench_test.py	doha22/Training_one	0cd7cf86c7da0f6175834146296b763d1841766b	[ "MIT" ]	2	2019-01-22T10:53:42.000Z	2019-01-31T08:02:48.000Z	codewars/6kyu/doha22/twisted_sum/bench_test.py	doha22/Training_one	0cd7cf86c7da0f6175834146296b763d1841766b	[ "MIT" ]	13	2019-01-22T10:37:42.000Z	2019-01-25T13:30:43.000Z	from twisted_sum import compute_sum from twisted_sum import compute_sum2 def test(benchmark): assert benchmark(compute_sum, 1) == 1 def test2(benchmark): assert benchmark(compute_sum2, 1) == 1 ''''''''' ---------------------------------------------------------------------------------- benchmark: 2 tests --...	67.64	188	0.315789	147	1,691	3.591837	0.55102	0.026515	0.05303	0.075758	0.102273	0	0	0	0	0	0.117779	0.211709	1,691	25	189	67.64	0.27832	0	0.111111	0	0.222222	0.872479	0.411625	0	0	0.111111	1	0.111111	false	0.055556	0.111111	0	0.222222	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	1	1	null	0	0	0	0	0	1	0	0	0	0	5
7ac37a26fc0d285707f630dd3fec546e445c0228	4,164	py	Python	src/utils/utils.py	Basti3n/TroncheLab	3a73d2793d6e01df70b26b2f887eb2fd0f9dfb89	[ "MIT" ]	2	2020-05-06T10:54:13.000Z	2020-05-09T04:44:27.000Z	src/utils/utils.py	Basti3n/TroncheLab	3a73d2793d6e01df70b26b2f887eb2fd0f9dfb89	[ "MIT" ]	null	null	null	src/utils/utils.py	Basti3n/TroncheLab	3a73d2793d6e01df70b26b2f887eb2fd0f9dfb89	[ "MIT" ]	null	null	null	import os from enum import Enum import numpy as np from PIL import Image from tensorflow.keras.applications.imagenet_utils import preprocess_input from keras_preprocessing import image from tensorflow.python.keras.models import load_model DATASET_PATH = os.environ['DATASET_PATH'] TARGET_RESOLUTION = (64, 64) class ...	34.131148	119	0.658982	621	4,164	4.251208	0.125604	0.058333	0.054545	0.108333	0.798485	0.778409	0.769318	0.769318	0.731818	0.705682	0.021183	0.183718	4,164	121	120	34.413223	0.755516	0.10903	0.406977	0	0	0.136523	0.124358	0	0	0	1	0.069767	false	0	0.081395	0	0.267442	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
7ad0637fbeb239faaf8a282ecb9d5c269955ae6a	38	py	Python	main.py	MatthewRobertDunn/tetrominos	f864f6da44e50e2ee435ad8fabef2679c1e21a8b	[ "MIT" ]	null	null	null	main.py	MatthewRobertDunn/tetrominos	f864f6da44e50e2ee435ad8fabef2679c1e21a8b	[ "MIT" ]	null	null	null	main.py	MatthewRobertDunn/tetrominos	f864f6da44e50e2ee435ad8fabef2679c1e21a8b	[ "MIT" ]	null	null	null	import gameloop gameloop.start_game()	12.666667	21	0.842105	5	38	6.2	0.8	0	0	0	0	0	0	0	0	0	0	0.078947	38	2	22	19	0.885714	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
7aea76caa20e4818789f498add82873442b7f053	27,582	py	Python	phygnn/model_interfaces/phygnn_model.py	leilei-help/phygnn	889d6abb255a984c4d02f575c39c8280fc2cb839	[ "BSD-3-Clause" ]	41	2020-08-20T17:05:00.000Z	2022-03-04T12:23:50.000Z	phygnn/model_interfaces/phygnn_model.py	leilei-help/phygnn	889d6abb255a984c4d02f575c39c8280fc2cb839	[ "BSD-3-Clause" ]	19	2020-08-24T17:14:04.000Z	2022-03-28T22:37:15.000Z	phygnn/model_interfaces/phygnn_model.py	NREL/phygnn	3a508ccd3efda66e851d418f9f4eda319d58a947	[ "BSD-3-Clause" ]	11	2020-09-24T16:54:17.000Z	2022-02-15T00:07:58.000Z	# -- coding: utf-8 -- """ TensorFlow Model """ import json import logging import os from phygnn.phygnn import PhysicsGuidedNeuralNetwork from phygnn.model_interfaces.base_model import ModelBase from phygnn.utilities.pre_processing import PreProcess logger = logging.getLogger(__name__) class PhygnnModel(ModelBase)...	43.164319	79	0.570771	3,057	27,582	5.010468	0.116454	0.009793	0.018803	0.011491	0.794607	0.782072	0.766207	0.757524	0.743292	0.737873	0.006906	0.37006	27,582	638	80	43.231975	0.874647	0.539301	0.466346	0	0	0.018397	0	0	0	0	1	0.057692	false	0	0.028846	0	0.144231	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
bb38e333f21ede2ce7b03073f40e7ea272a171e3	29	py	Python	ondocker_testing/test_image/config.py	xpersky/one_takes	a69385c9698d7c83c7b38f0d5a95b9657e023af3	[ "MIT" ]	null	null	null	ondocker_testing/test_image/config.py	xpersky/one_takes	a69385c9698d7c83c7b38f0d5a95b9657e023af3	[ "MIT" ]	null	null	null	ondocker_testing/test_image/config.py	xpersky/one_takes	a69385c9698d7c83c7b38f0d5a95b9657e023af3	[ "MIT" ]	null	null	null	machine_ip = '192.168.99.100'	29	29	0.724138	6	29	3.333333	1	0	0	0	0	0	0	0	0	0	0.407407	0.068966	29	1	29	29	0.333333	0	0	0	0	0.466667	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	1	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
bb3f035ad7c61faebadc95ebf43b71dca8e6dbc8	53	py	Python	packages/plugin-braze/itly_plugin_braze/__init__.py	amplitude/itly-sdk-python	ee6b1a20a8eab901a7ff897e4980a824388df6c4	[ "MIT" ]	1	2020-11-16T19:42:53.000Z	2020-11-16T19:42:53.000Z	packages/plugin-braze/itly_plugin_braze/__init__.py	iterativelyhq/itly-sdk-python	ee6b1a20a8eab901a7ff897e4980a824388df6c4	[ "MIT" ]	null	null	null	packages/plugin-braze/itly_plugin_braze/__init__.py	iterativelyhq/itly-sdk-python	ee6b1a20a8eab901a7ff897e4980a824388df6c4	[ "MIT" ]	null	null	null	from ._braze_plugin import BrazePlugin, BrazeOptions	26.5	52	0.867925	6	53	7.333333	1	0	0	0	0	0	0	0	0	0	0	0.09434	53	1	53	53	0.916667	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	0	null	0	0	0	0	1	0	1	0	1	0	5
bb490a233e3480f14a04df312c61768678143733	56	py	Python	Python_code/I.py	booyakashakawabangha/Contest2	087bfa320ca11948e5d04f37e8119303329e1585	[ "MIT" ]	null	null	null	Python_code/I.py	booyakashakawabangha/Contest2	087bfa320ca11948e5d04f37e8119303329e1585	[ "MIT" ]	null	null	null	Python_code/I.py	booyakashakawabangha/Contest2	087bfa320ca11948e5d04f37e8119303329e1585	[ "MIT" ]	null	null	null	test = 706 pv = 90 print(test + pv) print(test + pv + 2)	14	20	0.607143	11	56	3.090909	0.545455	0.529412	0.647059	0	0	0	0	0	0	0	0.139535	0.232143	56	4	20	14	0.651163	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	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	5
bb513a01eb9d5531c8df087c3a9d741027730fc1	9,106	py	Python	code/imgaug/augmenters/flip.py	Pandinosaurus/Recurrent-Convolutional-Fusion	0849b7bc43c76d4ce6538ca4c3a8a7ec6f6c9c08	[ "MIT" ]	17	2019-07-16T16:55:12.000Z	2021-07-13T08:25:53.000Z	code/imgaug/augmenters/flip.py	Pandinosaurus/Recurrent-Convolutional-Fusion	0849b7bc43c76d4ce6538ca4c3a8a7ec6f6c9c08	[ "MIT" ]	4	2019-08-19T14:16:30.000Z	2020-12-04T00:57:19.000Z	code/imgaug/augmenters/flip.py	Pandinosaurus/Recurrent-Convolutional-Fusion	0849b7bc43c76d4ce6538ca4c3a8a7ec6f6c9c08	[ "MIT" ]	6	2019-08-18T08:58:50.000Z	2021-11-14T05:51:10.000Z	""" Augmenters that apply mirroring/flipping operations to images. Do not import directly from this file, as the categorization is not final. Use instead `from imgaug import augmenters as iaa` and then e.g. :: seq = iaa.Sequential([ iaa.Fliplr((0.0, 1.0)), iaa.Flipud((0.0, 1.0)) ]) List o...	33.112727	132	0.612453	1,240	9,106	4.287903	0.152419	0.059996	0.038368	0.037239	0.780891	0.755313	0.753056	0.743088	0.725785	0.716569	0.018527	0.27685	9,106	275	133	33.112727	0.788914	0.226334	0.512605	0	0	0.021809	0	0	0.003636	0	1	0.10084	false	0	0.159664	0.02521	0.361345	0.008403	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
247dc2e0fad5eb4c4613e6e833876e3e595c130a	386	py	Python	tests/math/test_mat4.py	anibali/glip	50359cdab0064ce233f368039439f4ac1e39e0f9	[ "Apache-2.0" ]	null	null	null	tests/math/test_mat4.py	anibali/glip	50359cdab0064ce233f368039439f4ac1e39e0f9	[ "Apache-2.0" ]	null	null	null	tests/math/test_mat4.py	anibali/glip	50359cdab0064ce233f368039439f4ac1e39e0f9	[ "Apache-2.0" ]	null	null	null	import numpy as np from glip.math import mat4 def test_is_similarity(): assert mat4.is_similarity(mat4.translate(4.0, 56.7, 2.3)) assert mat4.is_similarity(mat4.rotate_axis_angle(0, 1, 0, 0.453)) assert mat4.is_similarity(mat4.scale(1, -1, 1)) assert not mat4.is_similarity(mat4.scale(2, 1, 1)) as...	32.166667	71	0.717617	70	386	3.828571	0.442857	0.268657	0.298507	0.373134	0.559701	0.231343	0.231343	0.231343	0	0	0.099698	0.142487	386	11	72	35.090909	0.70997	0	0	0	0	0	0	0	0	0.625	1	0.125	true	0	0.25	0	0.375	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	0	0	0	0	5
247f9cb6b4cdc5d7cc056026b475bab1202fc3dc	53	py	Python	example_SetlX_stat_code/stat_python_code/stat_exponentialCDF.py	leonmutschke/setlX	a10333405cba3d9d814d7de9e160561bd5fa4f76	[ "BSD-3-Clause" ]	28	2015-01-14T11:12:02.000Z	2022-02-15T21:06:05.000Z	example_SetlX_stat_code/stat_python_code/stat_exponentialCDF.py	leonmutschke/setlX	a10333405cba3d9d814d7de9e160561bd5fa4f76	[ "BSD-3-Clause" ]	6	2016-08-01T14:21:37.000Z	2018-06-03T17:15:00.000Z	example_SetlX_stat_code/stat_python_code/stat_exponentialCDF.py	leonmutschke/setlX	a10333405cba3d9d814d7de9e160561bd5fa4f76	[ "BSD-3-Clause" ]	18	2015-02-11T21:10:18.000Z	2018-05-02T07:41:41.000Z	from scipy.stats import expon print(expon.cdf(2,0,6))	26.5	29	0.773585	11	53	3.727273	0.909091	0	0	0	0	0	0	0	0	0	0.061224	0.075472	53	2	30	26.5	0.77551	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	5
24bae56ca6cf1801ff1dfeac6d7d6a4f888b65f5	38	py	Python	src/pen/exceptions.py	pspeter/pen	a1016a105f2dfd196aabc8704d16afbeb5e81358	[ "MIT" ]	null	null	null	src/pen/exceptions.py	pspeter/pen	a1016a105f2dfd196aabc8704d16afbeb5e81358	[ "MIT" ]	1	2020-02-19T22:32:45.000Z	2020-02-19T22:32:45.000Z	src/pen/exceptions.py	pspeter/pen	a1016a105f2dfd196aabc8704d16afbeb5e81358	[ "MIT" ]	null	null	null	class UsageError(Exception): pass	12.666667	28	0.736842	4	38	7	1	0	0	0	0	0	0	0	0	0	0	0.184211	38	2	29	19	0.903226	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	5
24c18f1312e6689be4235312d3ddc223c847db59	118	py	Python	app/raspberryPiUtilities/__init__.py	DeschutesBrewery/brewerypi	5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f	[ "MIT" ]	27	2017-11-27T05:01:05.000Z	2020-11-14T19:52:26.000Z	app/raspberryPiUtilities/__init__.py	DeschutesBrewery/brewerypi	5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f	[ "MIT" ]	259	2017-11-23T00:43:26.000Z	2020-11-03T01:07:30.000Z	app/raspberryPiUtilities/__init__.py	DeschutesBrewery/brewerypi	5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f	[ "MIT" ]	8	2018-10-29T04:39:29.000Z	2020-10-01T22:18:12.000Z	from flask import Blueprint raspberryPiUtilities = Blueprint("raspberryPiUtilities", __name__) from . import routes	19.666667	66	0.822034	11	118	8.454545	0.636364	0.623656	0	0	0	0	0	0	0	0	0	0.118644	118	5	67	23.6	0.894231	0	0	0	0	0.169492	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	1	5
24c8f122314ea2ede7e784f05bfd83f131cac504	88	py	Python	src/examples/incomplete/nn_topology_object_oriented/Neuron.py	calebebrim/GeneticAlgorithm	93475adfac4bba145054e1bbb3acfad77505fa85	[ "MIT" ]	null	null	null	src/examples/incomplete/nn_topology_object_oriented/Neuron.py	calebebrim/GeneticAlgorithm	93475adfac4bba145054e1bbb3acfad77505fa85	[ "MIT" ]	null	null	null	src/examples/incomplete/nn_topology_object_oriented/Neuron.py	calebebrim/GeneticAlgorithm	93475adfac4bba145054e1bbb3acfad77505fa85	[ "MIT" ]	null	null	null	class Neuron: # TODO: Create abstraction of generic unsupervised neuron pass	12.571429	61	0.715909	10	88	6.3	0.9	0	0	0	0	0	0	0	0	0	0	0.25	88	6	62	14.666667	0.954545	0.625	0	0	0	0	0	0	0.166667	0	1	0	true	0.5	0	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	0	null	1	0	0	0	1	1	0	0	0	0	5
7044acd7ffe6361011c103b7dd7d39d175ccd47b	201	py	Python	tests/context.py	rtlee9/SIC-list	bb4b535f421320b1dfa57bc58163e2a17f9b6a4c	[ "Apache-2.0" ]	7	2017-11-30T18:01:02.000Z	2022-03-07T01:44:32.000Z	tests/context.py	rtlee9/SIC-list	bb4b535f421320b1dfa57bc58163e2a17f9b6a4c	[ "Apache-2.0" ]	1	2016-08-27T16:52:13.000Z	2016-08-27T16:52:13.000Z	tests/context.py	rtlee9/SIC-list	bb4b535f421320b1dfa57bc58163e2a17f9b6a4c	[ "Apache-2.0" ]	4	2017-01-10T17:12:15.000Z	2020-03-30T07:41:43.000Z	import sys from os import path sys.path.insert(0, path.join(path.dirname(path.dirname(__file__)), 'src')) import scrape_sic_sec import scrape_sic_osha path_test = path.dirname(path.abspath(__file__))	25.125	74	0.79602	33	201	4.454545	0.515152	0.22449	0.204082	0	0	0	0	0	0	0	0.005435	0.084577	201	7	75	28.714286	0.793478	0	0	0	0	0.014925	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	5
704b0e1ea02f314f6b1994dc366ed4b556555898	96	py	Python	enthought/chaco/tools/lasso_selection.py	enthought/etsproxy	4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347	[ "BSD-3-Clause" ]	3	2016-12-09T06:05:18.000Z	2018-03-01T13:00:29.000Z	enthought/chaco/tools/lasso_selection.py	enthought/etsproxy	4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347	[ "BSD-3-Clause" ]	1	2020-12-02T00:51:32.000Z	2020-12-02T08:48:55.000Z	enthought/chaco/tools/lasso_selection.py	enthought/etsproxy	4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347	[ "BSD-3-Clause" ]	null	null	null	# proxy module from __future__ import absolute_import from chaco.tools.lasso_selection import *	24	41	0.84375	13	96	5.769231	0.769231	0	0	0	0	0	0	0	0	0	0	0.114583	96	3	42	32	0.882353	0.125	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	0	null	0	0	0	0	1	0	1	0	1	0	5
705e5a2a680d153f08e86b9b8945d937256b2c59	186	py	Python	neurotic/nlp/machine_translation/__init__.py	necromuralist/Neurotic-Networking	20f46dec5d890bd57abd802b6ebf219f0e8e7611	[ "MIT" ]	null	null	null	neurotic/nlp/machine_translation/__init__.py	necromuralist/Neurotic-Networking	20f46dec5d890bd57abd802b6ebf219f0e8e7611	[ "MIT" ]	3	2021-01-11T01:42:31.000Z	2021-11-10T19:44:25.000Z	neurotic/nlp/machine_translation/__init__.py	necromuralist/Neurotic-Networking	20f46dec5d890bd57abd802b6ebf219f0e8e7611	[ "MIT" ]	null	null	null	from .data_generator import DataGenerator, MAX_LENGTH, detokenize, tokenize from .help_me import input_encoder, pre_attention_decoder, prepare_attention_input from .model import NMTAttn	46.5	82	0.865591	25	186	6.12	0.76	0	0	0	0	0	0	0	0	0	0	0.091398	186	3	83	62	0.905325	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	0	null	0	0	0	0	1	0	1	0	1	0	5
7086f74618d45bce22dc60c4c5be66d94f65a5b0	313	py	Python	service/LifeCycleApi.py	liorperry/fuzz	2d49b2ea62b59f2790797a93be6a68aae8a150f7	[ "MIT" ]	1	2020-04-23T08:11:40.000Z	2020-04-23T08:11:40.000Z	service/LifeCycleApi.py	liorperry/fuzz	2d49b2ea62b59f2790797a93be6a68aae8a150f7	[ "MIT" ]	null	null	null	service/LifeCycleApi.py	liorperry/fuzz	2d49b2ea62b59f2790797a93be6a68aae8a150f7	[ "MIT" ]	null	null	null	import abc class LifeCycleApi(abc.ABC): @abc.abstractmethod def run(self, command): pass @abc.abstractmethod def pause(self, command): pass @abc.abstractmethod def restart(self, command): pass @abc.abstractmethod def stop(self, command): pass	14.904762	31	0.610224	34	313	5.617647	0.382353	0.356021	0.418848	0.282723	0.549738	0.549738	0	0	0	0	0	0.300319	313	20	32	15.65	0.872146	0	0.571429	0	0	0	0	0	0	0	1	0.285714	false	0.285714	0.071429	0	0.428571	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	0	5
5629bd253ae2d3929384d337cd954c562c853978	65	py	Python	CIRCUITPY/helloworld.py	mikepschneider/circuitpy_ms	1242a96171f5b436f53807b7a6893315022f292b	[ "MIT" ]	1	2018-10-31T18:43:30.000Z	2018-10-31T18:43:30.000Z	CIRCUITPY/helloworld.py	mikepschneider/circuitpy_ms	1242a96171f5b436f53807b7a6893315022f292b	[ "MIT" ]	null	null	null	CIRCUITPY/helloworld.py	mikepschneider/circuitpy_ms	1242a96171f5b436f53807b7a6893315022f292b	[ "MIT" ]	null	null	null	import time print("HELLO WORLD %sms" % (time.monotonic() / 1000))	32.5	53	0.692308	9	65	5	0.888889	0	0	0	0	0	0	0	0	0	0.070175	0.123077	65	2	53	32.5	0.719298	0	0	0	0	0.242424	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	5
3b28da421a779cbd510e9ae6aa57cea5145ea13f	11,882	py	Python	irods/test/pool_test.py	trel/python-irodsclient	228fd6d39e1e6b5a72fb3a3301105b7bea2422a9	[ "Xnet", "X11" ]	54	2015-03-27T11:16:58.000Z	2022-03-05T03:31:49.000Z	irods/test/pool_test.py	trel/python-irodsclient	228fd6d39e1e6b5a72fb3a3301105b7bea2422a9	[ "Xnet", "X11" ]	316	2015-02-13T19:57:11.000Z	2022-03-31T09:50:53.000Z	irods/test/pool_test.py	trel/python-irodsclient	228fd6d39e1e6b5a72fb3a3301105b7bea2422a9	[ "Xnet", "X11" ]	81	2015-01-27T21:58:59.000Z	2022-02-25T08:06:56.000Z	#! /usr/bin/env python from __future__ import absolute_import import datetime import os import re import sys import time import json import unittest import irods.test.helpers as helpers # Regular expression to match common synonyms for localhost. # LOCALHOST_REGEX = re.compile(r"""^(127(\.\d+){1,3}\|[0:]+1\|(.*-)?loca...	43.364964	141	0.65351	1,600	11,882	4.591875	0.12125	0.07731	0.099633	0.089833	0.759766	0.751735	0.746563	0.742752	0.735674	0.735674	0.014088	0.247265	11,882	273	142	43.52381	0.807357	0.126494	0.64467	0	0	0.036153	0.02059	0	0	0.340102	1	0.081218	false	0	0.045685	0.005076	0.152284	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
3b4c72cd6529cbf76da62895f648e1fe7b445f19	150	py	Python	emails/app_settings.py	fmalina/emails	9bb467433e9ad8c8109d76edc894eaaaa309466d	[ "BSD-3-Clause" ]	4	2015-04-02T11:59:32.000Z	2017-07-08T21:33:11.000Z	emails/app_settings.py	fmalina/django-emails	66f22c10e433620693d4fee67b5a49f0aecb7ea1	[ "BSD-3-Clause" ]	null	null	null	emails/app_settings.py	fmalina/django-emails	66f22c10e433620693d4fee67b5a49f0aecb7ea1	[ "BSD-3-Clause" ]	null	null	null	from django.conf import settings def fix_typo_email(user, new): pass EMAILS_FIX_TYPOS = getattr(settings, 'EMAILS_FIX_TYPOS', fix_typo_email)	16.666667	72	0.78	23	150	4.73913	0.652174	0.12844	0.220183	0	0	0	0	0	0	0	0	0.14	150	8	73	18.75	0.844961	0	0	0	0	0.106667	0	0	0	0	1	0.25	false	0.25	0.25	0	0.5	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	0	5
3b657e8f4009cb48b8b072958676b9028b29346f	264	py	Python	FreeTAKServer/controllers/FilterGroupController.py	logikal/FreeTakServer	c0916ce65781b5c60079d6440e52db8fc6ee0467	[ "MIT" ]	27	2020-05-01T01:45:59.000Z	2020-07-03T00:17:13.000Z	FreeTAKServer/controllers/FilterGroupController.py	logikal/FreeTakServer	c0916ce65781b5c60079d6440e52db8fc6ee0467	[ "MIT" ]	34	2020-04-26T11:25:52.000Z	2020-07-03T21:06:34.000Z	FreeTAKServer/controllers/FilterGroupController.py	logikal/FreeTakServer	c0916ce65781b5c60079d6440e52db8fc6ee0467	[ "MIT" ]	15	2020-05-01T01:46:07.000Z	2020-07-03T12:14:04.000Z	class FilterGroupController: def __init__(self, filterGroups): self.filterGroups = filterGroups def sendCoT(self, CoT): pass def addUser(self, clientInformation): pass def removeUser(self, clientInformation): pass	22	44	0.662879	24	264	7.125	0.5	0.187135	0.292398	0	0	0	0	0	0	0	0	0.265152	264	12	45	22	0.881443	0	0.333333	0	0	0	0	0	0	0	1	0.444444	false	0.333333	0	0	0.555556	0	1	0	0	null	0	1	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	5
8e84317db4f01cffee22de5b46798b33c3206553	95	py	Python	pylas implementation/pylas/vlrs/__init__.py	AJTech2002/Point-Cloud-Tiler	6b79371f1b4f8de0e212b75206fbbeb846484ab1	[ "Apache-2.0" ]	2	2021-03-11T20:19:39.000Z	2021-08-18T08:31:49.000Z	pylas implementation/pylas/vlrs/__init__.py	AJTech2002/Point-Cloud-Tiler	6b79371f1b4f8de0e212b75206fbbeb846484ab1	[ "Apache-2.0" ]	null	null	null	pylas implementation/pylas/vlrs/__init__.py	AJTech2002/Point-Cloud-Tiler	6b79371f1b4f8de0e212b75206fbbeb846484ab1	[ "Apache-2.0" ]	null	null	null	from . import geotiff from .known import BaseKnownVLR from .rawvlr import VLR_HEADER_SIZE, VLR	23.75	40	0.821053	14	95	5.428571	0.642857	0	0	0	0	0	0	0	0	0	0	0.136842	95	3	41	31.666667	0.926829	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	0	null	0	0	0	0	1	0	1	0	1	0	5
d97d43ad042adf5532f5a60a64a075b9ef09e994	42,292	py	Python	apps/site/migrations/0001_initial.py	LocalGround/localground	aa5a956afe7a84a7763a3b23d62a9fd925831cd7	[ "Apache-2.0" ]	9	2015-05-29T22:22:20.000Z	2022-02-01T20:39:00.000Z	apps/site/migrations/0001_initial.py	LocalGround/localground	aa5a956afe7a84a7763a3b23d62a9fd925831cd7	[ "Apache-2.0" ]	143	2015-01-22T15:03:40.000Z	2020-06-27T01:55:29.000Z	apps/site/migrations/0001_initial.py	LocalGround/localground	aa5a956afe7a84a7763a3b23d62a9fd925831cd7	[ "Apache-2.0" ]	5	2015-03-16T20:51:49.000Z	2017-02-07T20:48:49.000Z	# -- coding: utf-8 -- from __future__ import unicode_literals from django.db import models, migrations import datetime import django.contrib.gis.db.models.fields import jsonfield.fields from django.conf import settings import tagging_autocomplete.models import localground.apps.lib.helpers class Migration(migration...	56.239362	202	0.59425	4,258	42,292	5.691639	0.069281	0.046049	0.077244	0.102992	0.817495	0.785063	0.747968	0.71995	0.680132	0.670064	0.014812	0.265677	42,292	751	203	56.314248	0.765553	0.001277	0.69086	0	0	0.160649	0.00966	0	0	0	1	0	false	0	0.010753	0	0.014785	0.020161	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
7994072418f96e0ffb32410b30748db5f60fe698	7,538	py	Python	tests/test_bert.py	ktodorov/historical-ocr	d4d7bf0addf5ff98b7182c00ff716e79c97e050e	[ "MIT" ]	null	null	null	tests/test_bert.py	ktodorov/historical-ocr	d4d7bf0addf5ff98b7182c00ff716e79c97e050e	[ "MIT" ]	null	null	null	tests/test_bert.py	ktodorov/historical-ocr	d4d7bf0addf5ff98b7182c00ff716e79c97e050e	[ "MIT" ]	null	null	null	from tests.fakes.log_service_fake import LogServiceFake from enums.language import Language from enums.configuration import Configuration from enums.challenge import Challenge from enums.ocr_output_type import OCROutputType from enums.pretrained_model import PretrainedModel import os from tests.fakes.non_context_servic...	39.673684	108	0.677633	888	7,538	5.359234	0.140766	0.056735	0.035302	0.041185	0.736499	0.736499	0.719479	0.719479	0.719479	0.719479	0.024734	0.238392	7,538	189	109	39.883598	0.804215	0.014195	0.612676	0	0	0.050398	0.012936	0	0	0.042254	1	0.028169	false	0	0.084507	0	0.126761	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
79a2e42292c0477acfc9eb800d0fe7736e1daea4	56	py	Python	bip32utils/__init__.py	matthewdowney/bip32utils	dd9c541767a2a8ff60c7868c9f4b03277fabb8ba	[ "MIT" ]	5	2018-07-31T07:37:09.000Z	2019-05-27T04:40:38.000Z	bip32utils/__init__.py	matthewdowney/bip32utils	dd9c541767a2a8ff60c7868c9f4b03277fabb8ba	[ "MIT" ]	4	2018-08-01T11:11:54.000Z	2022-03-11T23:20:53.000Z	test_signature/bip32utils/__init__.py	Robin8Put/pmes	338bec94162098f05b75bad035417317e1252fd2	[ "Apache-2.0" ]	5	2018-06-09T07:42:04.000Z	2018-12-28T21:15:52.000Z	from bip32utils.BIP32Key import BIP32Key, BIP32_HARDEN	18.666667	54	0.857143	7	56	6.714286	0.857143	0	0	0	0	0	0	0	0	0	0.16	0.107143	56	2	55	28	0.78	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	0	null	0	0	0	0	1	0	1	0	1	0	5
79c074c2609a8af6445c70fd7e48454fbb85518e	144	py	Python	src/analyzer/algorithm_exceptions.py	gutefrage/skyline	5b2f6321641e965080dd12a7acdbd9e96da3726b	[ "MIT" ]	null	null	null	src/analyzer/algorithm_exceptions.py	gutefrage/skyline	5b2f6321641e965080dd12a7acdbd9e96da3726b	[ "MIT" ]	null	null	null	src/analyzer/algorithm_exceptions.py	gutefrage/skyline	5b2f6321641e965080dd12a7acdbd9e96da3726b	[ "MIT" ]	null	null	null	class TooShort(Exception): pass class Stale(Exception): pass class Incomplete(Exception): pass class Boring(Exception): pass	12	28	0.701389	16	144	6.3125	0.4375	0.514851	0.534653	0	0	0	0	0	0	0	0	0.215278	144	11	29	13.090909	0.893805	0	0.5	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	5
8dded302cf6721cbe9e8413deef9cbb6880dc2ad	450	py	Python	tests/csigs/contracts/sigs.py	Akm0d/pop	77d9f6e6de8e02aa2ee5520d0aa0052fabd53243	[ "Apache-2.0" ]	null	null	null	tests/csigs/contracts/sigs.py	Akm0d/pop	77d9f6e6de8e02aa2ee5520d0aa0052fabd53243	[ "Apache-2.0" ]	null	null	null	tests/csigs/contracts/sigs.py	Akm0d/pop	77d9f6e6de8e02aa2ee5520d0aa0052fabd53243	[ "Apache-2.0" ]	null	null	null	# Import python libs from typing import List def sig_first(hub, a: str, b, c: List): pass def sig_second(hub, *kwargs): pass def sig_third(hub, a, b, args, *kwargs): pass def sig_four(hub, a, args, e=7): pass def sig_five(hub, a: str, args): pass def sig_six(hub, a, args, **kwargs):...	13.636364	73	0.611111	75	450	3.573333	0.506667	0.156716	0.223881	0.179104	0.149254	0	0	0	0	0	0.003003	0.26	450	32	74	14.0625	0.801802	0.197778	0.466667	0	0	0	0	0	0	0	1	0.466667	false	0.466667	0.066667	0	0.533333	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	0	5
5c3cb5d20b51552fca5bd3bc7df8ff03ff91916a	171	py	Python	sensors/samples/keytest.py	akesiraju/raspberrypi	e8ae5e535a9953631ffa2d1e7de926c9dc19f961	[ "MIT" ]	2	2019-03-26T23:47:40.000Z	2020-03-28T03:23:31.000Z	sensors/samples/keytest.py	akesiraju/raspberrypi	e8ae5e535a9953631ffa2d1e7de926c9dc19f961	[ "MIT" ]	1	2019-03-27T10:59:14.000Z	2019-03-27T10:59:14.000Z	sensors/samples/keytest.py	akesiraju/raspberrypi	e8ae5e535a9953631ffa2d1e7de926c9dc19f961	[ "MIT" ]	1	2018-07-14T23:55:14.000Z	2018-07-14T23:55:14.000Z	import keyboard print('hello') while True: if keyboard.is_pressed('up'): print('up') if keyboard.is_pressed('down'): print('down') break	15.545455	35	0.584795	21	171	4.666667	0.571429	0.204082	0.244898	0.387755	0	0	0	0	0	0	0	0.269006	171	10	36	17.1	0.784	0	0	0	0	0.099415	0	0	0	0	1	0	true	0	0.125	0	0.125	0.375	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
3082e838f2d13b98457eb90f8d6fc90503a9f4dc	46	py	Python	streamlitfront/tests/fake_app.py	i2mint/streamlitfront	6fbc03a42cdb7436dcda3da00fb9b42965bbb582	[ "Apache-2.0" ]	null	null	null	streamlitfront/tests/fake_app.py	i2mint/streamlitfront	6fbc03a42cdb7436dcda3da00fb9b42965bbb582	[ "Apache-2.0" ]	1	2022-02-03T15:21:57.000Z	2022-02-05T00:51:33.000Z	streamlitfront/tests/fake_app.py	i2mint/streamlitfront	6fbc03a42cdb7436dcda3da00fb9b42965bbb582	[ "Apache-2.0" ]	null	null	null	import streamlit as st st.write('fake app!')	11.5	22	0.717391	8	46	4.125	0.875	0	0	0	0	0	0	0	0	0	0	0.152174	46	3	23	15.333333	0.846154	0	0	0	0	0.195652	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
30a5ba5560c57077da4172151008fd87ff36b771	5,506	py	Python	tests/test_p_wilcoxon.py	odococo/bioinformatica	ba8f979140f1f5fc1ff95d7480f7699f3cd6614a	[ "MIT" ]	null	null	null	tests/test_p_wilcoxon.py	odococo/bioinformatica	ba8f979140f1f5fc1ff95d7480f7699f3cd6614a	[ "MIT" ]	null	null	null	tests/test_p_wilcoxon.py	odococo/bioinformatica	ba8f979140f1f5fc1ff95d7480f7699f3cd6614a	[ "MIT" ]	null	null	null	import json import pandas as pd from bioinformatica.data_prediction import t_wilcoxon def test_wilcoxon(): json_file="""[{"model": "MLP", "run_type": "train", "holdout": 0, "loss": 0.0010388237847510676, "acc": 0.9998748898506165, "auroc": 0.9998754262924194, "auprc": 0.999607264995575}, {"model": "MLP", "run_t...	305.888889	5,192	0.686161	642	5,506	5.809969	0.250779	0.060054	0.051475	0.081501	0.271046	0.271046	0.169705	0	0	0	0.431741	0.091355	5,506	17	5,193	323.882353	0.313812	0	0	0	0.090909	0.941337	0.057392	0	0	0	1	0.090909	false	0	0.272727	0	0.363636	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	1	1	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	5
30a81821eb916ac576ee43d8270fe1744e4e07bd	32	py	Python	aio_py_github/core/utils/__init__.py	panhaoyu/aio_py_github	689d21f11def75cbf12fb344a0bfb8822e65916f	[ "MIT" ]	null	null	null	aio_py_github/core/utils/__init__.py	panhaoyu/aio_py_github	689d21f11def75cbf12fb344a0bfb8822e65916f	[ "MIT" ]	null	null	null	aio_py_github/core/utils/__init__.py	panhaoyu/aio_py_github	689d21f11def75cbf12fb344a0bfb8822e65916f	[ "MIT" ]	null	null	null	from .requester import Requester	32	32	0.875	4	32	7	0.75	0	0	0	0	0	0	0	0	0	0	0.09375	32	1	32	32	0.965517	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
30a87e1dd2fcf8c6f6d2325121236697db16b6de	442	py	Python	src/web.py	abhishekpandeyIT/Virtual_Intelligent_Personal_Agent	786261fbcf1468bcbaee9f6d17aea3f3cc06f81e	[ "Apache-2.0" ]	null	null	null	src/web.py	abhishekpandeyIT/Virtual_Intelligent_Personal_Agent	786261fbcf1468bcbaee9f6d17aea3f3cc06f81e	[ "Apache-2.0" ]	null	null	null	src/web.py	abhishekpandeyIT/Virtual_Intelligent_Personal_Agent	786261fbcf1468bcbaee9f6d17aea3f3cc06f81e	[ "Apache-2.0" ]	null	null	null	import webbrowser import os def close_browser(): os.system("taskkill /im chrome.exe /f") def open_facebook(): webbrowser.open('https://www.facebook.com/') def open_instagram(): webbrowser.open('https://www.instagram.com/') def open_google(): webbrowser.open('https://www.google.com/') def open_brows...	21.047619	49	0.692308	59	442	5.084746	0.338983	0.116667	0.316667	0.366667	0.253333	0.253333	0.253333	0.253333	0	0	0	0.124434	442	20	50	22.1	0.775194	0	0.142857	0	0	0.332579	0	0	0	0	1	0.428571	true	0	0.142857	0	0.571429	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	1	0	5
30abc0c5ac8aba01726137d295a08b71468b56aa	30	py	Python	yaipopt/__init__.py	dimasad/python-ipopt	680363adcbab37ac6d76b81203d58d4b452cb495	[ "MIT" ]	1	2018-09-20T04:26:33.000Z	2018-09-20T04:26:33.000Z	yaipopt/__init__.py	dimasad/python-ipopt	680363adcbab37ac6d76b81203d58d4b452cb495	[ "MIT" ]	null	null	null	yaipopt/__init__.py	dimasad/python-ipopt	680363adcbab37ac6d76b81203d58d4b452cb495	[ "MIT" ]	null	null	null	from .wrapper import Problem	10	28	0.8	4	30	6	1	0	0	0	0	0	0	0	0	0	0	0.166667	30	2	29	15	0.96	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
30d300ee2a942e1eff8d7589e115ebea32357c75	791	py	Python	venv/lib/python3.6/site-packages/phonenumbers/shortdata/region_CZ.py	exdeam/opencrm	dfdcfdf99f0b42eb3959171927cb6574583f5ee0	[ "MIT" ]	null	null	null	venv/lib/python3.6/site-packages/phonenumbers/shortdata/region_CZ.py	exdeam/opencrm	dfdcfdf99f0b42eb3959171927cb6574583f5ee0	[ "MIT" ]	null	null	null	venv/lib/python3.6/site-packages/phonenumbers/shortdata/region_CZ.py	exdeam/opencrm	dfdcfdf99f0b42eb3959171927cb6574583f5ee0	[ "MIT" ]	1	2020-09-08T14:45:34.000Z	2020-09-08T14:45:34.000Z	"""Auto-generated file, do not edit by hand. CZ metadata""" from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata PHONE_METADATA_CZ = PhoneMetadata(id='CZ', country_code=None, international_prefix=None, general_desc=PhoneNumberDesc(national_number_pattern='1\\d{2,5}', possible_length=(3, 4, 5, 6...	79.1	180	0.713021	122	791	4.434426	0.434426	0.170055	0.214418	0.266174	0.513863	0.377079	0.280961	0.280961	0	0	0.094391	0.075853	791	9	181	87.888889	0.645691	0.067004	0	1	0.285714	0.199454	0.151639	0	0	0	1	0	false	0	0.142857	0	0.142857	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	1	1	0	0	null	0	0	0	0	0	0	0	0	0	0	5
30f37a519da98dfb00b56b0daead4b41fa951617	22,768	py	Python	tests/extension/thread_/to_thread_pool/test_thread_to_thread_pool.py	jesseclin/veriloggen	a645f2c53f04e5b88213eef17779d212192ea2b5	[ "Apache-2.0" ]	232	2015-09-01T16:07:48.000Z	2022-03-28T14:53:28.000Z	tests/extension/thread_/to_thread_pool/test_thread_to_thread_pool.py	jesseclin/veriloggen	a645f2c53f04e5b88213eef17779d212192ea2b5	[ "Apache-2.0" ]	34	2015-08-21T09:13:03.000Z	2022-03-21T23:52:44.000Z	tests/extension/thread_/to_thread_pool/test_thread_to_thread_pool.py	jesseclin/veriloggen	a645f2c53f04e5b88213eef17779d212192ea2b5	[ "Apache-2.0" ]	46	2015-09-24T14:39:57.000Z	2022-02-23T21:59:56.000Z	from __future__ import absolute_import from __future__ import print_function import veriloggen import thread_to_thread_pool expected_verilog = """ module test; reg CLK; reg RST; blinkled uut ( .CLK(CLK), .RST(RST) ); initial begin CLK = 0; forever begin #5 CLK = !CLK; end ...	31.622222	99	0.625571	4,151	22,768	2.783907	0.026981	0.346141	0.205607	0.075286	0.895898	0.838872	0.657494	0.590948	0.507875	0.318969	0.10042	0.299324	22,768	719	100	31.666203	0.623958	0	0.367496	0	0	0.973911	0.162597	0	0	0.001464	1	0.001464	false	0	0.008785	0	0.010249	0.001464	0	0	0	null	1	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	5
a514cd0c043e0b6d9bbd57cf73ee584ee3f12d2a	210	py	Python	pyfinviz/__init__.py	oscar0812/pyfinviz	aedafe4f4b0135fd2a9b85db121f41c8742d8c6c	[ "Apache-2.0" ]	10	2021-01-22T05:19:51.000Z	2022-03-22T16:37:14.000Z	pyfinviz/__init__.py	oscar0812/pyfinviz	aedafe4f4b0135fd2a9b85db121f41c8742d8c6c	[ "Apache-2.0" ]	5	2021-02-09T06:15:18.000Z	2022-03-22T17:32:39.000Z	pyfinviz/__init__.py	oscar0812/pyfinviz	aedafe4f4b0135fd2a9b85db121f41c8742d8c6c	[ "Apache-2.0" ]	4	2021-06-30T04:05:59.000Z	2022-03-22T17:33:38.000Z	from pyfinviz.crypto import Crypto from pyfinviz.groups import Groups from pyfinviz.insider import Insider from pyfinviz.news import News from pyfinviz.quote import Quote from pyfinviz.screener import Screener	30	38	0.857143	30	210	6	0.3	0.4	0	0	0	0	0	0	0	0	0	0.114286	210	6	39	35	0.967742	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	5
eb5b23b7d161d744e7957cbd37e6af124c47b408	59	py	Python	pystream/__init__.py	zahash/pystream	8bea0c2eb13d45a987ca479e3c1451e55d952455	[ "MIT" ]	null	null	null	pystream/__init__.py	zahash/pystream	8bea0c2eb13d45a987ca479e3c1451e55d952455	[ "MIT" ]	2	2022-03-13T06:35:54.000Z	2022-03-13T06:36:33.000Z	pystream/__init__.py	zahash/pystream	8bea0c2eb13d45a987ca479e3c1451e55d952455	[ "MIT" ]	null	null	null	from .stream import Stream, Grouper from .pipe import pipe	19.666667	35	0.79661	9	59	5.222222	0.555556	0	0	0	0	0	0	0	0	0	0	0.152542	59	2	36	29.5	0.94	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	0	null	0	0	0	0	1	0	1	0	1	0	5
eb8af50df71dee5a8438fa22830203d8a903cd35	201	py	Python	Materials/admin.py	Gguidini/artheart-db-explorer	8e854248ff799f74f2702f767e5614e154e4a7f8	[ "MIT" ]	null	null	null	Materials/admin.py	Gguidini/artheart-db-explorer	8e854248ff799f74f2702f767e5614e154e4a7f8	[ "MIT" ]	null	null	null	Materials/admin.py	Gguidini/artheart-db-explorer	8e854248ff799f74f2702f767e5614e154e4a7f8	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Apostila, Categoria, Project # Register your models here. admin.site.register(Apostila) admin.site.register(Categoria) admin.site.register(Project)	28.714286	48	0.820896	27	201	6.111111	0.481481	0.163636	0.309091	0	0	0	0	0	0	0	0	0.089552	201	7	49	28.714286	0.901639	0.129353	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
ebb586cbefe9cd9ca25c5a9ea1b27357ea87f78f	37	py	Python	naislinter/__main__.py	chinatsu/naislinter	e19d113d5578745725f699f7ce3fe95d027b8c8c	[ "MIT" ]	null	null	null	naislinter/__main__.py	chinatsu/naislinter	e19d113d5578745725f699f7ce3fe95d027b8c8c	[ "MIT" ]	null	null	null	naislinter/__main__.py	chinatsu/naislinter	e19d113d5578745725f699f7ce3fe95d027b8c8c	[ "MIT" ]	null	null	null	import naislinter naislinter.main()	9.25	17	0.810811	4	37	7.5	0.75	0	0	0	0	0	0	0	0	0	0	0.108108	37	3	18	12.333333	0.909091	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
ebd3ffbfab252aaad34ddfe1e9bfb85e2ee55f38	1,222	py	Python	src/OnlineModel/Export/ExportBase.py	svenreiche/OnlineModel	becc4211929c2a98bd80cc2fe69a5d138b073fbb	[ "MIT" ]	null	null	null	src/OnlineModel/Export/ExportBase.py	svenreiche/OnlineModel	becc4211929c2a98bd80cc2fe69a5d138b073fbb	[ "MIT" ]	null	null	null	src/OnlineModel/Export/ExportBase.py	svenreiche/OnlineModel	becc4211929c2a98bd80cc2fe69a5d138b073fbb	[ "MIT" ]	null	null	null	class ExportBase: """ Base class to be inherited from other modules to export from the online model. It just provides that in writeLine of LineContainer Module always an event handler function is called """ def __init__(self): self.switch = 0 self.path = '' self.avoidPreset =...	19.709677	105	0.591653	135	1,222	5.325926	0.42963	0.162726	0.200278	0.222531	0.094576	0.094576	0.094576	0	0	0	0.004878	0.328969	1,222	61	106	20.032787	0.871951	0.1473	0.439024	0	0	0	0	0	0	0	1	0.414634	false	0	0	0.341463	0.829268	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	5
ebdcbefe2b61e67663aabbd43c5e21f0af1ba466	179	py	Python	dev/pystan/compile_stan_model.py	luiarthur/CytofDensityEstimation	1f62d693c66b9e303dc8ee0cb8743dc848d9df5e	[ "MIT" ]	null	null	null	dev/pystan/compile_stan_model.py	luiarthur/CytofDensityEstimation	1f62d693c66b9e303dc8ee0cb8743dc848d9df5e	[ "MIT" ]	4	2020-10-12T18:10:36.000Z	2020-12-07T07:05:00.000Z	dev/pystan/compile_stan_model.py	luiarthur/CytofDensityEstimation	1f62d693c66b9e303dc8ee0cb8743dc848d9df5e	[ "MIT" ]	null	null	null	import pickle import pystan # sm = pystan.StanModel("model.stan") sm = pystan.StanModel("model_reparameterized.stan") with open('.model.pkl', 'wb') as f: pickle.dump(sm, f)	19.888889	51	0.703911	26	179	4.807692	0.576923	0.128	0.272	0.352	0	0	0	0	0	0	0	0.134078	179	8	52	22.375	0.806452	0.195531	0	0	0	0.267606	0.183099	0	0	0	1	0	false	0	0.4	0	0.4	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	5
ebdd593975fe461d0b54ed5202e8311c6fb9bba0	63	py	Python	7_kyu/shortest_word.py	nik4nd/codewars	efae95f1f9fbd5f31fc62b1b4f5a7d1ee511ced0	[ "MIT" ]	null	null	null	7_kyu/shortest_word.py	nik4nd/codewars	efae95f1f9fbd5f31fc62b1b4f5a7d1ee511ced0	[ "MIT" ]	null	null	null	7_kyu/shortest_word.py	nik4nd/codewars	efae95f1f9fbd5f31fc62b1b4f5a7d1ee511ced0	[ "MIT" ]	null	null	null	def find_short(s): return min([len(i) for i in s.split()])	21	43	0.619048	13	63	2.923077	0.846154	0	0	0	0	0	0	0	0	0	0	0.190476	63	2	44	31.5	0.745098	0	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	5
ccde7cc1c636da65c05eb9ccdcbe6003caafd9c1	36	py	Python	src/freeplane_tools/__init__.py	shollingsworth/freeplane_tools	4fa6bc69d79062412590b625c1f210da244489fa	[ "MIT" ]	null	null	null	src/freeplane_tools/__init__.py	shollingsworth/freeplane_tools	4fa6bc69d79062412590b625c1f210da244489fa	[ "MIT" ]	1	2021-12-03T04:23:52.000Z	2021-12-03T08:44:16.000Z	src/freeplane_tools/__init__.py	shollingsworth/freeplane_tools	4fa6bc69d79062412590b625c1f210da244489fa	[ "MIT" ]	null	null	null	"""Freeplane Tools Package base."""	18	35	0.694444	4	36	6.25	1	0	0	0	0	0	0	0	0	0	0	0.111111	36	1	36	36	0.78125	0.805556	null	0	null	0	0	null	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	1	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
6912ca5e190f66ca8dc86eb6266115feb8d8d628	242	py	Python	src/forums/urls/__init__.py	earth-emoji/august	065d4b449a138ead1557293bffcb20cd2db90a41	[ "BSD-2-Clause" ]	null	null	null	src/forums/urls/__init__.py	earth-emoji/august	065d4b449a138ead1557293bffcb20cd2db90a41	[ "BSD-2-Clause" ]	10	2021-03-19T10:47:13.000Z	2022-03-12T00:28:30.000Z	src/forums/urls/__init__.py	earth-emoji/august	065d4b449a138ead1557293bffcb20cd2db90a41	[ "BSD-2-Clause" ]	null	null	null	from django.urls import path, include urlpatterns = [ path('', include('forums.urls.discussions')), path('', include('forums.urls.topics')), path('', include('forums.urls.posts')), path('', include('forums.urls.comments')), ]	30.25	49	0.644628	27	242	5.777778	0.444444	0.352564	0.435897	0.538462	0	0	0	0	0	0	0	0.136364	242	8	50	30.25	0.746411	0	0	0	0	0.320988	0.09465	0	0	0	1	0	false	0	0.142857	0	0.142857	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
6941a104440406cc7baec3ac2309d5cd9f84dcc2	29	py	Python	memegen/__init__.py	WalterSimoncini/memegen-api	ddb3dfa296a46fadfd484f8479f46fcb7b6c7236	[ "MIT" ]	null	null	null	memegen/__init__.py	WalterSimoncini/memegen-api	ddb3dfa296a46fadfd484f8479f46fcb7b6c7236	[ "MIT" ]	null	null	null	memegen/__init__.py	WalterSimoncini/memegen-api	ddb3dfa296a46fadfd484f8479f46fcb7b6c7236	[ "MIT" ]	1	2021-02-13T04:36:34.000Z	2021-02-13T04:36:34.000Z	from .predict import Memegen	14.5	28	0.827586	4	29	6	1	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.96	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5

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