Split (1)

train · 336k rows

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b0607d53868c5168be9e11e7881aa22c929be4fc	95	py	Python	Scrapers/setup.py	TLTFinancialConsulting/Stock-Analysis	2abb3d7849acc675efe52ccc7979ef14e82dae41	[ "MIT" ]	null	null	null	Scrapers/setup.py	TLTFinancialConsulting/Stock-Analysis	2abb3d7849acc675efe52ccc7979ef14e82dae41	[ "MIT" ]	null	null	null	Scrapers/setup.py	TLTFinancialConsulting/Stock-Analysis	2abb3d7849acc675efe52ccc7979ef14e82dae41	[ "MIT" ]	1	2021-09-05T13:56:52.000Z	2021-09-05T13:56:52.000Z	from distutils.core import setup import py2exe setup(console=['Single Stock Scraper.py'])	19	43	0.757895	13	95	5.538462	0.846154	0	0	0	0	0	0	0	0	0	0.012346	0.147368	95	4	44	23.75	0.876543	0	0	0	0	0.252747	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	null	0	0	0	0	1	0	1	0	1	0	5
c669da8c85a9ad97e2316f863823e6affc4076e8	52	py	Python	autos/googleapi/__init__.py	hans-t/autos	4cb370187cb7a8104cedb1942a4c159033729677	[ "MIT" ]	1	2016-08-17T15:34:15.000Z	2016-08-17T15:34:15.000Z	autos/googleapi/__init__.py	hans-t/autos	4cb370187cb7a8104cedb1942a4c159033729677	[ "MIT" ]	6	2016-08-17T15:34:55.000Z	2021-04-30T20:38:05.000Z	autos/googleapi/__init__.py	hans-t/autos	4cb370187cb7a8104cedb1942a4c159033729677	[ "MIT" ]	null	null	null	from .drive import Drive from .sheets import Sheets	17.333333	26	0.807692	8	52	5.25	0.5	0	0	0	0	0	0	0	0	0	0	0.153846	52	2	27	26	0.954545	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	1	0	5
c68a4b8268cd38312278416900497b8abe84bff8	349	py	Python	aliyun_rocketmq_provider/__init__.py	Ed-XCF/airflow-provider-rocketmq	4d6b9c91d6981f6439ad37b8c0302fe1a7df6e82	[ "Apache-2.0" ]	null	null	null	aliyun_rocketmq_provider/__init__.py	Ed-XCF/airflow-provider-rocketmq	4d6b9c91d6981f6439ad37b8c0302fe1a7df6e82	[ "Apache-2.0" ]	null	null	null	aliyun_rocketmq_provider/__init__.py	Ed-XCF/airflow-provider-rocketmq	4d6b9c91d6981f6439ad37b8c0302fe1a7df6e82	[ "Apache-2.0" ]	null	null	null	def get_provider_info(): return { "package-name": "airflow-providers-aliyun-rocketmq", "name": "Aliyun RocketMQ Airflow Provider", "description": "Airflow provider for aliyun rocketmq", "hook-class-names": ["aliyun_rocketmq_provider.hooks.aliyun_rocketmq.AliyunRocketMQHook"], ...	38.777778	98	0.659026	36	349	6.25	0.611111	0.311111	0	0	0	0	0	0	0	0	0.010753	0.200573	349	8	99	43.625	0.795699	0	0	0	0	0.636103	0.280802	0	0	0	0	1	0.125	true	0	0	0.125	0.25	0	0	0	0	null	1	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	1	0	0	5
c6b85532df7e50b9b99d76edc5eb3952977abc72	156	py	Python	pyfibre_analysis_tools/__init__.py	franklongford/pyfibre_analysis_scripts	75b43017c2a532100a77a920068b15ad4574d5bb	[ "MIT" ]	null	null	null	pyfibre_analysis_tools/__init__.py	franklongford/pyfibre_analysis_scripts	75b43017c2a532100a77a920068b15ad4574d5bb	[ "MIT" ]	2	2021-01-30T17:25:05.000Z	2021-07-25T22:16:21.000Z	pyfibre_analysis_tools/__init__.py	franklongford/pyfibre_analysis_scripts	75b43017c2a532100a77a920068b15ad4574d5bb	[ "MIT" ]	null	null	null	from .analysis_tools import load_databases # noqa: E501 from .plotting import confidence_ellipse, scatter, plot_roc_curve, plot_lda_analysis # noqa: E501	52	98	0.820513	22	156	5.5	0.727273	0.132231	0	0	0	0	0	0	0	0	0.043796	0.121795	156	2	99	78	0.839416	0.134615	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	1	0	5
c6cfc9ee7d8ad047bcf7137c60c3b646a3992b91	86,991	py	Python	spinsim/__init__.py	rpanderson/spinsim	8f93b7dd1964290e2cc85ae1c15e73ca31a34bdc	[ "BSD-3-Clause" ]	null	null	null	spinsim/__init__.py	rpanderson/spinsim	8f93b7dd1964290e2cc85ae1c15e73ca31a34bdc	[ "BSD-3-Clause" ]	null	null	null	spinsim/__init__.py	rpanderson/spinsim	8f93b7dd1964290e2cc85ae1c15e73ca31a34bdc	[ "BSD-3-Clause" ]	null	null	null	""" """ # from . import utilities from enum import Enum import numpy as np import numba as nb from numba import cuda from numba import roc import math sqrt2 = math.sqrt(2) sqrt3 = math.sqrt(3) class SpinQuantumNumber(Enum): """ Options for the spin quantum number of a system. Parameters ----------...	53.108059	851	0.594533	11,351	86,991	4.386133	0.060523	0.030269	0.020989	0.009922	0.815976	0.768675	0.730472	0.704059	0.687228	0.660895	0.030821	0.290225	86,991	1,638	852	53.108059	0.775525	0.436585	0.483163	0	0.007321	0.03686	0.003332	0	0	0	0	1	0.105417	false	0.001464	0.008785	0.032211	0.196193	0.007321	0	0	0	null	0	0	0	1	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	5
05cd5b57f0a4fc900a153814359c496aef92a9b8	322	py	Python	fnss/adapters/__init__.py	brucespang/fnss	8e1d95744347afa77383092e6f144980d84e222d	[ "BSD-2-Clause" ]	114	2015-01-19T14:15:07.000Z	2022-02-22T01:47:19.000Z	fnss/adapters/__init__.py	brucespang/fnss	8e1d95744347afa77383092e6f144980d84e222d	[ "BSD-2-Clause" ]	15	2016-02-11T09:09:02.000Z	2021-04-05T12:57:09.000Z	fnss/adapters/__init__.py	brucespang/fnss	8e1d95744347afa77383092e6f144980d84e222d	[ "BSD-2-Clause" ]	36	2015-02-08T12:28:04.000Z	2021-11-19T06:08:17.000Z	"""Tools for exporting and importing FNSS data structures (topologies, event schedules and traffic matrices) to/from other simulators or emulators """ from fnss.adapters.autonetkit import * from fnss.adapters.mn import * from fnss.adapters.ns2 import * from fnss.adapters.omnetpp import * from fnss.adapters.jfed import ...	35.777778	75	0.798137	45	322	5.711111	0.577778	0.155642	0.311284	0.342412	0	0	0	0	0	0	0.003546	0.124224	322	8	76	40.25	0.907801	0.444099	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
05eb0737013725c24915e89b0934dc5569241fb4	1,708	py	Python	tests/data/sample/__init__.py	SD2E/python-datacatalog	51ab366639505fb6e8a14cd6b446de37080cd20d	[ "CNRI-Python" ]	null	null	null	tests/data/sample/__init__.py	SD2E/python-datacatalog	51ab366639505fb6e8a14cd6b446de37080cd20d	[ "CNRI-Python" ]	2	2019-07-25T15:39:04.000Z	2019-10-21T15:31:46.000Z	tests/data/sample/__init__.py	SD2E/python-datacatalog	51ab366639505fb6e8a14cd6b446de37080cd20d	[ "CNRI-Python" ]	1	2019-10-15T14:33:44.000Z	2019-10-15T14:33:44.000Z	CREATES = [ ('expt1', {'sample_id': 'biofab.sample.900000', 'child_of': ['102edd93-29d6-5483-b60b-8dfd4d094b9c']}, '103dfcc6-7dd8-54a1-b5d7-c36129511173'), ('expt2', {'sample_id': 'ginkgo.sample.ABCDEFG', 'child_of': ['102d8a08-034d-5c27-8d9c-a24bfcc94858']}, '1031e39a-ac24-57b6-8fb3-b8fb65708654'), ('expt3...	77.636364	222	0.697892	208	1,708	5.610577	0.423077	0.068552	0.051414	0.065124	0.766067	0.766067	0.634105	0.567267	0.567267	0.567267	0.302606	0.07904	1,708	21	223	81.333333	0.439288	0	0	0	0	0.740632	0.51171	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	0	0	0	1	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	5
af60d548011be7f3019d8d47e83e0eda9e3da842	26	py	Python	src/kivy_garden/qrcode/version.py	kivy-garden/qrcode	a4a636bee8a2aca2b2a98ac196ef93793c9f8295	[ "MIT" ]	7	2019-10-25T00:46:16.000Z	2022-03-19T20:47:14.000Z	src/kivy_garden/qrcode/version.py	kivy-garden/qrcode	a4a636bee8a2aca2b2a98ac196ef93793c9f8295	[ "MIT" ]	16	2019-10-26T13:30:40.000Z	2021-03-14T11:32:57.000Z	src/kivy_garden/qrcode/version.py	kivy-garden/qrcode	a4a636bee8a2aca2b2a98ac196ef93793c9f8295	[ "MIT" ]	4	2019-10-25T00:48:09.000Z	2022-01-27T16:49:24.000Z	__version__ = '2021.0314'	13	25	0.730769	3	26	5	1	0	0	0	0	0	0	0	0	0	0.347826	0.115385	26	1	26	26	0.304348	0	0	0	0	0.346154	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	1	1	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
af61a51da0b66eaa0861cbc30d931523b7417957	78	py	Python	firetail/extensions/fleet_up/__init__.py	evidex/Firetail	408211db92af0a2d57ae856657e3b6d8b7efe835	[ "MIT" ]	29	2017-11-22T21:56:51.000Z	2021-09-20T13:08:05.000Z	firetail/extensions/fleet_up/__init__.py	evidex/Firetail	408211db92af0a2d57ae856657e3b6d8b7efe835	[ "MIT" ]	43	2017-11-22T10:57:32.000Z	2022-03-08T07:20:36.000Z	firetail/extensions/fleet_up/__init__.py	evidex/Firetail	408211db92af0a2d57ae856657e3b6d8b7efe835	[ "MIT" ]	25	2017-12-13T22:14:37.000Z	2021-08-12T03:58:53.000Z	from .fleet_up import FleetUp def setup(bot): bot.add_cog(FleetUp(bot))	13	29	0.717949	13	78	4.153846	0.769231	0	0	0	0	0	0	0	0	0	0	0.166667	78	5	30	15.6	0.830769	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0	0.666667	0	1	0	0	null	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	1	0	1	0	5
af69763d707c060693a71270569f9c457180ff1c	80	py	Python	src/phat/learn/__init__.py	rskene/phat	84a946e1e638642f36ce5fd81dc85aa89f7b66f0	[ "MIT" ]	2	2021-07-23T11:34:21.000Z	2022-01-09T17:22:45.000Z	src/phat/learn/__init__.py	rjskene/phat	84a946e1e638642f36ce5fd81dc85aa89f7b66f0	[ "MIT" ]	3	2022-01-18T09:27:16.000Z	2022-01-18T09:28:43.000Z	src/phat/learn/__init__.py	rskene/phat	84a946e1e638642f36ce5fd81dc85aa89f7b66f0	[ "MIT" ]	null	null	null	from .phatnet import PhatNet, PhatLoss, PhatMetric from .utils import DataSplit	26.666667	50	0.825	10	80	6.6	0.7	0	0	0	0	0	0	0	0	0	0	0.125	80	2	51	40	0.942857	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	1	0	5
af6d841bf62bcc1fb7340b1afe24f647759ad772	160	py	Python	main/calendar-module/calendar-module.py	EliahKagan/old-practice-snapshot	1b53897eac6902f8d867c8f154ce2a489abb8133	[ "0BSD" ]	null	null	null	main/calendar-module/calendar-module.py	EliahKagan/old-practice-snapshot	1b53897eac6902f8d867c8f154ce2a489abb8133	[ "0BSD" ]	null	null	null	main/calendar-module/calendar-module.py	EliahKagan/old-practice-snapshot	1b53897eac6902f8d867c8f154ce2a489abb8133	[ "0BSD" ]	null	null	null	#!/usr/bin/env python3 from calendar import day_name, weekday month, day, year = map(int, input().split()) print(day_name[weekday(year, month, day)].upper())	22.857143	50	0.7125	25	160	4.48	0.72	0.125	0.25	0	0	0	0	0	0	0	0.007042	0.1125	160	6	51	26.666667	0.78169	0.13125	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0.333333	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	1	0	1	0	0	0	5
af96c657d4f8c911032770e6adbb2edee5f6a778	6,497	py	Python	snakemake/wrappers/.snakemake.w0wlzoye.merge_bams_wrapper.py	saketkc/EE-546-project	fb7eacd90f6c0a2cb3061837ec5427a14f521aa5	[ "BSD-2-Clause" ]	1	2020-11-02T07:05:09.000Z	2020-11-02T07:05:09.000Z	snakemake/wrappers/.snakemake.w0wlzoye.merge_bams_wrapper.py	saketkc/EE-546-project	fb7eacd90f6c0a2cb3061837ec5427a14f521aa5	[ "BSD-2-Clause" ]	null	null	null	snakemake/wrappers/.snakemake.w0wlzoye.merge_bams_wrapper.py	saketkc/EE-546-project	fb7eacd90f6c0a2cb3061837ec5427a14f521aa5	[ "BSD-2-Clause" ]	null	null	null	######## Snakemake header ######## import sys; sys.path.append("/home/cmb-panasas2/skchoudh/software_frozen/anaconda27/envs/riboraptor/lib/python3.5/site-packages"); import pickle; snakemake = pickle.loads(b'\x80\x03csnakemake.script\nSnakemake\nq\x00)\x81q\x01}q\x02(X\x05\x00\x00\x00inputq\x03csnakemake.io\nInputFile...	295.318182	5,604	0.808989	1,087	6,497	4.730451	0.316467	0.145858	0.255348	0.311163	0.426293	0.217036	0.135356	0	0	0	0.292063	0.030322	6,497	21	5,605	309.380952	0.524127	0.005079	0	0	0.117647	0.335408	0.288892	0	0	0	0	1	0	false	0	0.235294	0	0.235294	0.058824	0	0	0	null	0	1	1	0	0	0	0	0	0	1	0	1	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
afb5d8165c3d9acb6bda824d49384a6f2a95e9aa	95	py	Python	terrascript/tls/d.py	amlodzianowski/python-terrascript	1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49	[ "BSD-2-Clause" ]	null	null	null	terrascript/tls/d.py	amlodzianowski/python-terrascript	1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49	[ "BSD-2-Clause" ]	null	null	null	terrascript/tls/d.py	amlodzianowski/python-terrascript	1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49	[ "BSD-2-Clause" ]	null	null	null	# terrascript/tls/d.py import terrascript class tls_public_key(terrascript.Data): pass	11.875	39	0.757895	13	95	5.384615	0.769231	0	0	0	0	0	0	0	0	0	0	0.157895	95	7	40	13.571429	0.875	0.210526	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	null	0	0	0	0	1	1	1	0	0	0	5
afbefab62b9d1777239eb667c1ac94cf05de0f46	44	py	Python	src/visualization/__init__.py	vvrahul11/sentiment_analysis	1bd22a96467d72865d65f9ab4a15d46cc97b7bba	[ "MIT" ]	null	null	null	src/visualization/__init__.py	vvrahul11/sentiment_analysis	1bd22a96467d72865d65f9ab4a15d46cc97b7bba	[ "MIT" ]	null	null	null	src/visualization/__init__.py	vvrahul11/sentiment_analysis	1bd22a96467d72865d65f9ab4a15d46cc97b7bba	[ "MIT" ]	null	null	null	from .visualize import plot_confusion_matrix	44	44	0.909091	6	44	6.333333	1	0	0	0	0	0	0	0	0	0	0	0.068182	44	1	44	44	0.926829	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
afcf3e8b6fc76f7eb80f9ccc7a90b613ad9bfc9c	1,900	py	Python	FewShotPreprocessing.py	ahirsharan/MTL_Segmentation	f49f4ae4b7fdc12e83e5f4e5058e819cdd335b98	[ "MIT" ]	9	2020-04-29T07:45:19.000Z	2021-05-04T14:39:57.000Z	FewShotPreprocessing.py	ahirsharan/MTL_Segmentation	f49f4ae4b7fdc12e83e5f4e5058e819cdd335b98	[ "MIT" ]	null	null	null	FewShotPreprocessing.py	ahirsharan/MTL_Segmentation	f49f4ae4b7fdc12e83e5f4e5058e819cdd335b98	[ "MIT" ]	4	2020-05-08T10:51:29.000Z	2021-06-25T08:39:49.000Z	import os import os.path as osp from PIL import Image PATH='../Fewshot/Fewshot/' classes= os.listdir(PATH) trainp='../Fewshot/train/' valp='../Fewshot/val/' testp='../Fewshot/test/' for classv in classes: if classv[0]=='.': continue pathn=osp.join(PATH,classv) pathn=pathn+'/' folders=os.l...	23.45679	41	0.513684	256	1,900	3.8125	0.175781	0.157787	0.092213	0.086066	0.72541	0.72541	0.72541	0.72541	0.72541	0.72541	0.056545	0.320526	1,900	80	42	23.75	0.699458	0	0.646154	0	0	0.061611	0	0	0	0	0	1	0	false	0	0.046154	0	0.046154	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
bb86997b5357e6cd3c7be720e4153aa8762103db	200	py	Python	saleor/lib/python3.7/site-packages/django_prices_openexchangerates/apps.py	cxsper/saleor	5566ddcdaf8f72ba872eca869798e66eb9cdae44	[ "BSD-3-Clause" ]	34	2015-01-28T20:56:58.000Z	2021-09-08T18:14:49.000Z	saleor/lib/python3.7/site-packages/django_prices_openexchangerates/apps.py	cxsper/saleor	5566ddcdaf8f72ba872eca869798e66eb9cdae44	[ "BSD-3-Clause" ]	33	2015-01-27T10:29:39.000Z	2019-12-06T15:45:05.000Z	myvenv/lib/python3.6/site-packages/django_prices_openexchangerates/apps.py	yog240597/saleor	b75a23827a4ec2ce91637f0afe6808c9d09da00a	[ "CC-BY-4.0" ]	15	2015-01-27T10:27:23.000Z	2021-12-21T16:10:21.000Z	from django.apps import AppConfig class DjangoPricesOpenExchangeRatesConfig(AppConfig): name = 'django_prices_openexchangerates' verbose_name = "Django prices openexchangerates integration"	28.571429	64	0.825	18	200	9	0.666667	0.123457	0.197531	0.407407	0	0	0	0	0	0	0	0.125	200	6	65	33.333333	0.925714	0	0	0	0	0.37	0.155	0	0	0	0	1	0	false	0	0.25	0	1	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	1	0	5
bb9fc31bdbcc3c5cedf0718808657c1863046fe6	155	py	Python	mercury/plugin/service/__init__.py	greenlsi/mercury_mso_framework	8b9639e5cb4b2c526a65861c93a9fe9db2460ea4	[ "Apache-2.0" ]	1	2020-07-21T11:22:39.000Z	2020-07-21T11:22:39.000Z	mercury/plugin/service/__init__.py	greenlsi/mercury_mso_framework	8b9639e5cb4b2c526a65861c93a9fe9db2460ea4	[ "Apache-2.0" ]	2	2021-08-25T16:09:58.000Z	2022-02-10T02:21:03.000Z	mercury/plugin/service/__init__.py	greenlsi/mercury_mso_framework	8b9639e5cb4b2c526a65861c93a9fe9db2460ea4	[ "Apache-2.0" ]	1	2021-02-24T15:54:09.000Z	2021-02-24T15:54:09.000Z	from .request_profile import ServiceRequestProfile from .session_duration import ServiceSessionDuration from .session_profile import ServiceSessionProfile	38.75	52	0.903226	15	155	9.133333	0.6	0.189781	0	0	0	0	0	0	0	0	0	0.077419	155	3	53	51.666667	0.958042	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	1	0	5
bbb60e5feac428852f8a4a9814c7d81298a22738	48	py	Python	src/ufdl/annotations_plugin/image/object_detection/__init__.py	waikato-ufdl/ufdl-annotations-plugin	9eb3d807e35215ad9cfbd4aa651d7f7142e83efe	[ "Apache-2.0" ]	null	null	null	src/ufdl/annotations_plugin/image/object_detection/__init__.py	waikato-ufdl/ufdl-annotations-plugin	9eb3d807e35215ad9cfbd4aa651d7f7142e83efe	[ "Apache-2.0" ]	4	2020-07-29T04:09:13.000Z	2020-11-22T20:52:18.000Z	src/ufdl/annotations_plugin/image/object_detection/__init__.py	waikato-ufdl/ufdl-annotations-plugin	9eb3d807e35215ad9cfbd4aa651d7f7142e83efe	[ "Apache-2.0" ]	null	null	null	""" The image object-detection data domain. """	12	39	0.6875	6	48	5.5	1	0	0	0	0	0	0	0	0	0	0	0.145833	48	3	40	16	0.804878	0.8125	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	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
bbd51eb45c7f5628083f05be82e4a0bc26ee198c	96	py	Python	venv/lib/python3.8/site-packages/urllib3/exceptions.py	GiulianaPola/select_repeats	17a0d053d4f874e42cf654dd142168c2ec8fbd11	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/urllib3/exceptions.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/urllib3/exceptions.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/d0/c9/e7/a372874cd7d745f63beb7f0db9f38f9146fa9973a6f8baa3fb8c76c3c0	96	96	0.895833	9	96	9.555556	1	0	0	0	0	0	0	0	0	0	0.375	0	96	1	96	96	0.520833	0	0	0	0	0	0	0	1	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	null	1	0	1	0	0	0	0	0	0	0	5
a52577b4981a2ff9a3a5e8ca0265e497121ae73f	219	py	Python	iblog/api_server/model.py	openjw/blog	dac1f4835fef8a3448d5f2b71bb29ea7e5d74288	[ "MIT" ]	null	null	null	iblog/api_server/model.py	openjw/blog	dac1f4835fef8a3448d5f2b71bb29ea7e5d74288	[ "MIT" ]	10	2020-09-11T07:54:06.000Z	2020-09-26T09:17:38.000Z	iblog/api_server/model.py	openjw/blog	dac1f4835fef8a3448d5f2b71bb29ea7e5d74288	[ "MIT" ]	null	null	null	from dataclasses import dataclass, field from typing import Any @dataclass class Response(object): ok: bool = field(default=False) data: Any = field(default=None) message: str = field(default='')	21.9	41	0.684932	27	219	5.555556	0.666667	0.24	0	0	0	0	0	0	0	0	0	0.214612	219	9	42	24.333333	0.872093	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.285714	0	0.857143	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	1	0	0	0	1	0	5
a5297b8f2d7f2c7bd83c6051630dcff677b71047	1,192	py	Python	montreal_forced_aligner/multiprocessing/__init__.py	ai-zahran/Montreal-Forced-Aligner	decbacfe86f81703022da4e95fd109eb94e7686d	[ "MIT" ]	null	null	null	montreal_forced_aligner/multiprocessing/__init__.py	ai-zahran/Montreal-Forced-Aligner	decbacfe86f81703022da4e95fd109eb94e7686d	[ "MIT" ]	null	null	null	montreal_forced_aligner/multiprocessing/__init__.py	ai-zahran/Montreal-Forced-Aligner	decbacfe86f81703022da4e95fd109eb94e7686d	[ "MIT" ]	null	null	null	"""Multiprocessing functions and classes for Montreal Forced Aligner""" from .alignment import acc_stats # noqa from .alignment import align # noqa from .alignment import calc_fmllr # noqa from .alignment import calc_lda_mllt # noqa from .alignment import compile_information # noqa from .alignment import compile_t...	47.68	71	0.806208	163	1,192	5.680982	0.343558	0.190065	0.287257	0.322894	0.340173	0.066955	0	0	0	0	0	0.145973	1,192	24	72	49.666667	0.909627	0.156879	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	5
a550741bd2e519583a406da32bf6be195ea749cf	308	py	Python	blacktape/util.py	carascap/blacktape	52e0b912f4c67899911d10d2d6e3770671db02fa	[ "MIT" ]	null	null	null	blacktape/util.py	carascap/blacktape	52e0b912f4c67899911d10d2d6e3770671db02fa	[ "MIT" ]	1	2022-02-22T19:45:27.000Z	2022-02-22T19:45:27.000Z	blacktape/util.py	carascap/blacktape	52e0b912f4c67899911d10d2d6e3770671db02fa	[ "MIT" ]	null	null	null	import signal def worker_init(): """ Initializer for worker processes that makes them ignore interrupt signals https://docs.python.org/3/library/signal.html#signal.signal https://docs.python.org/3/library/signal.html#signal.SIG_IGN """ signal.signal(signal.SIGINT, signal.SIG_IGN)	25.666667	77	0.727273	43	308	5.139535	0.55814	0.162896	0.135747	0.162896	0.380091	0.380091	0.380091	0.380091	0.380091	0	0.007663	0.152597	308	11	78	28	0.83908	0.62987	0	0	0	0	0	0	0	0	0	1	0.333333	true	0	0.333333	0	0.666667	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	0	0	1	1	0	1	0	1	0	5
a5676d68f98f91cfa01613d2160d7005e2f62b6b	103	pyw	Python	run.pyw	xue0228/keyboard	dcb0def1d87a9197676c0f405b980a67e128ab24	[ "MIT" ]	null	null	null	run.pyw	xue0228/keyboard	dcb0def1d87a9197676c0f405b980a67e128ab24	[ "MIT" ]	null	null	null	run.pyw	xue0228/keyboard	dcb0def1d87a9197676c0f405b980a67e128ab24	[ "MIT" ]	null	null	null	from xue_macro import macro if __name__ == '__main__': # macro.run(fg='#ECB1AC') macro.run()	14.714286	29	0.640777	14	103	4.071429	0.714286	0.280702	0	0	0	0	0	0	0	0	0.012195	0.203884	103	6	30	17.166667	0.682927	0.213592	0	0	0	0.102564	0	0	0	0	0	1	0	true	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	1	0	1	0	0	0	5
a5898b7a209d56a17c5b29e36003176dbecb22c1	109	py	Python	src/vcslinks/tests/test_py_typed.py	tkf/vcslinks	0d3d20ba7766285d28a2a72ec089b7a0347c9fbe	[ "MIT" ]	1	2019-05-11T09:33:12.000Z	2019-05-11T09:33:12.000Z	src/vcslinks/tests/test_py_typed.py	tkf/vcslink	0d3d20ba7766285d28a2a72ec089b7a0347c9fbe	[ "MIT" ]	8	2020-08-02T04:28:22.000Z	2020-09-17T02:47:18.000Z	src/vcslinks/tests/test_py_typed.py	tkf/vcslinks	0d3d20ba7766285d28a2a72ec089b7a0347c9fbe	[ "MIT" ]	null	null	null	from pathlib import Path def test_py_typed(): assert (Path(__file__).parents[1] / "py.typed").exists()	18.166667	60	0.697248	16	109	4.375	0.8125	0.2	0	0	0	0	0	0	0	0	0.010753	0.146789	109	5	61	21.8	0.741935	0	0	0	0	0.073395	0	0	0	0	0.333333	1	0.333333	true	0	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	null	0	0	0	1	1	0	1	0	0	0	5
a5afcd5db1cddf50398cf0d215956a1afb89ad6d	83	py	Python	mimic/utils/exceptions.py	Jimmy2027/MoPoE-MIMIC	d167719b0dc7ba002b7421eb82a83e47d2437795	[ "MIT" ]	1	2021-09-30T07:56:46.000Z	2021-09-30T07:56:46.000Z	mimic/utils/exceptions.py	Jimmy2027/MoPoE-MIMIC	d167719b0dc7ba002b7421eb82a83e47d2437795	[ "MIT" ]	null	null	null	mimic/utils/exceptions.py	Jimmy2027/MoPoE-MIMIC	d167719b0dc7ba002b7421eb82a83e47d2437795	[ "MIT" ]	null	null	null	class NaNInLatent(Exception): pass class CudaOutOfMemory(Exception): pass	13.833333	33	0.746988	8	83	7.75	0.625	0.419355	0	0	0	0	0	0	0	0	0	0.180723	83	6	34	13.833333	0.911765	0	0.5	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	1	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	5
3c0793128a0aec79d43d5faa628fdb5217f086a5	200	py	Python	staging/commands/dev/repos/push.py	cligraphy/cligraphy	f4214f544d8c8a9b1dd6d12a4e2c8950a0f6cd56	[ "Apache-2.0" ]	5	2017-07-30T15:29:04.000Z	2021-01-31T13:04:28.000Z	staging/commands/dev/repos/push.py	Netflix-Skunkworks/cligraphy	f84cc5b834f997762313f94f1015373875178f5e	[ "Apache-2.0" ]	1	2019-09-20T23:09:49.000Z	2020-02-11T22:01:25.000Z	staging/commands/dev/repos/push.py	cligraphy/cligraphy	f4214f544d8c8a9b1dd6d12a4e2c8950a0f6cd56	[ "Apache-2.0" ]	1	2017-08-14T17:36:14.000Z	2017-08-14T17:36:14.000Z	#!/usr/bin/env python # Copyright 2013 Netflix """Push all repos to stash """ from nflx_oc.commands.dev.repos import run_for_all_repos def main(): run_for_all_repos('git push origin master')	15.384615	56	0.735	33	200	4.242424	0.757576	0.171429	0.128571	0.2	0	0	0	0	0	0	0.023669	0.155	200	12	57	16.666667	0.804734	0.335	0	0	0	0.176	0	0	0	0	0	1	0.333333	true	0	0.333333	0	0.666667	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	0	0	1	1	0	1	0	1	0	5
3c1d13f890f957a4aef5185e5e69d9025f886ee5	3,188	py	Python	paper2tmb/tests/test_manipulator.py	sotetsuk/paper2img	bf441f58d7ff1b6e4532d8b0bbee47f51243ea2e	[ "MIT" ]	1	2020-12-15T15:47:04.000Z	2020-12-15T15:47:04.000Z	paper2tmb/tests/test_manipulator.py	sotetsuk/paper2img	bf441f58d7ff1b6e4532d8b0bbee47f51243ea2e	[ "MIT" ]	2	2016-05-20T08:09:12.000Z	2016-05-20T08:09:52.000Z	paper2tmb/tests/test_manipulator.py	sotetsuk/paper2img	bf441f58d7ff1b6e4532d8b0bbee47f51243ea2e	[ "MIT" ]	null	null	null	import os import unittest import subprocess from paper2tmb.manipulator import Manipulator class TestManipulator(unittest.TestCase): def test_init(self): with Manipulator('test.pdf') as m: self.assertTrue(os.path.isdir(m.dirname)) def test_pdf2png(self): with Manipulator("paper2t...	37.069767	100	0.614806	433	3,188	4.459584	0.140878	0.083894	0.082859	0.091144	0.792853	0.779389	0.779389	0.7768	0.764889	0.757121	0.066991	0.227415	3,188	85	101	37.505882	0.717012	0	0.40678	0	0	0.191656	0.110414	0	0	0	0.305085	1	0.152542	false	0	0.067797	0	0.237288	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
3c317fd08a51e339c4d1d723e5fbd63e072df552	81	wsgi	Python	site/index.wsgi	jiqiang/vagrant-python-flask	3eeb9314f0ff585b02605522253778915498d5ae	[ "MIT" ]	null	null	null	site/index.wsgi	jiqiang/vagrant-python-flask	3eeb9314f0ff585b02605522253778915498d5ae	[ "MIT" ]	null	null	null	site/index.wsgi	jiqiang/vagrant-python-flask	3eeb9314f0ff585b02605522253778915498d5ae	[ "MIT" ]	null	null	null	import sys sys.path.insert(0, "/srv/site/") from index import app as application	20.25	36	0.753086	14	81	4.357143	0.857143	0	0	0	0	0	0	0	0	0	0.014085	0.123457	81	3	37	27	0.84507	0	0	0	0	0.123457	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	null	0	0	0	0	1	0	1	0	1	0	5
3c9d19e4b4dc167bd7507239cb978299822d6487	6,205	py	Python	eland/tests/field_mappings/test_metric_source_fields_pytest.py	redNixon/eland	1b9cb1db6d30f0662fe3679c7bb31e2c0865f0c3	[ "Apache-2.0" ]	null	null	null	eland/tests/field_mappings/test_metric_source_fields_pytest.py	redNixon/eland	1b9cb1db6d30f0662fe3679c7bb31e2c0865f0c3	[ "Apache-2.0" ]	null	null	null	eland/tests/field_mappings/test_metric_source_fields_pytest.py	redNixon/eland	1b9cb1db6d30f0662fe3679c7bb31e2c0865f0c3	[ "Apache-2.0" ]	null	null	null	# Copyright 2019 Elasticsearch BV # # 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 applicabl...	39.025157	88	0.646575	754	6,205	4.950928	0.190981	0.038575	0.062684	0.027324	0.725422	0.724618	0.716046	0.70667	0.70667	0.704795	0.004454	0.27639	6,205	158	89	39.272152	0.826949	0.109589	0.676768	0	0	0.04783	0.006321	0	0	0.006329	0.242424	1	0.060606	false	0	0.040404	0	0.111111	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
5930749703f2f85e5b805d03b801c6c8d1b05b84	171	py	Python	sipam/serializers/__init__.py	Selfnet/sipam	32d7fde288cf7200cde170eadbd6b3541fa730fe	[ "Apache-2.0" ]	2	2020-04-19T20:00:32.000Z	2022-01-01T21:00:06.000Z	sipam/serializers/__init__.py	Selfnet/sipam	32d7fde288cf7200cde170eadbd6b3541fa730fe	[ "Apache-2.0" ]	7	2020-06-05T22:41:24.000Z	2022-02-28T01:42:45.000Z	sipam/serializers/__init__.py	Selfnet/sipam	32d7fde288cf7200cde170eadbd6b3541fa730fe	[ "Apache-2.0" ]	null	null	null	from .assignment import AssignmentSerializer from .cidr import CIDRSerializer, RecursiveCIDRSerializer from .pool import PoolSerializer from .label import LabelSerializer	34.2	57	0.871345	17	171	8.764706	0.647059	0	0	0	0	0	0	0	0	0	0	0.099415	171	4	58	42.75	0.967532	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	1	0	5
3caa48ade5f074f5b232a3b1022672537c7cd852	2,050	py	Python	meridian/channels/gallbladder.py	sinotradition/meridian	8c6c1762b204b72346be4bbfb74dedd792ae3024	[ "Apache-2.0" ]	5	2015-12-14T15:14:23.000Z	2022-02-09T10:15:33.000Z	meridian/channels/gallbladder.py	sinotradition/meridian	8c6c1762b204b72346be4bbfb74dedd792ae3024	[ "Apache-2.0" ]	null	null	null	meridian/channels/gallbladder.py	sinotradition/meridian	8c6c1762b204b72346be4bbfb74dedd792ae3024	[ "Apache-2.0" ]	3	2015-11-27T05:23:49.000Z	2020-11-28T09:01:56.000Z	#!/usr/bin/python #coding=utf-8 ''' @author: sheng @license: ''' from meridian.acupoints import tongziliao232 from meridian.acupoints import tinghui14 from meridian.acupoints import shangguan41 from meridian.acupoints import heyan24 from meridian.acupoints import xuanlu22 from meridian.acupoints import xuanli22 fr...	30.597015	46	0.858049	249	2,050	7.032129	0.293173	0.301542	0.527698	0.678469	0	0	0	0	0	0	0.053174	0.100976	2,050	66	47	31.060606	0.896907	0.026341	0	0	0	0.038249	0.016608	0	0	0	0	1	0	false	0.019231	0.846154	0	0.846154	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	1	0	1	0	5
3cc0dc589d60eab725ed7fba20be4f5f092d223e	591	py	Python	djmodels/contrib/gis/utils/__init__.py	iMerica/dj-models	fbe4a55ac362f9355a2298f58aa0deb0b6082e19	[ "BSD-3-Clause" ]	5	2019-02-15T16:47:50.000Z	2021-12-26T18:52:23.000Z	djmodels/contrib/gis/utils/__init__.py	iMerica/dj-models	fbe4a55ac362f9355a2298f58aa0deb0b6082e19	[ "BSD-3-Clause" ]	null	null	null	djmodels/contrib/gis/utils/__init__.py	iMerica/dj-models	fbe4a55ac362f9355a2298f58aa0deb0b6082e19	[ "BSD-3-Clause" ]	2	2021-08-09T02:29:09.000Z	2021-08-20T03:30:11.000Z	""" This module contains useful utilities for GeoDjango. """ from djmodels.contrib.gis.utils.ogrinfo import ogrinfo # NOQA from djmodels.contrib.gis.utils.ogrinspect import mapping, ogrinspect # NOQA from djmodels.contrib.gis.utils.srs import add_srs_entry # NOQA from djmodels.core.exceptions import ImproperlyConfi...	39.4	91	0.796954	75	591	6.226667	0.56	0.12848	0.162741	0.188437	0.248394	0.132762	0	0	0	0	0	0.138748	591	14	92	42.214286	0.917485	0.321489	0	0	0	0	0	0	0	0	0	1	0	true	0.125	0.625	0	0.625	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	0	0	0	1	1	1	0	1	0	5
3cdbf08b5f5fff9387cf356b7ff390a157b056b6	91	py	Python	backend/reservas/admin.py	ES2-UFPI/404-portal	ac673d341a5a215441859fcd6184ff1e22a3fab4	[ "Apache-2.0" ]	1	2019-03-21T19:53:55.000Z	2019-03-21T19:53:55.000Z	backend/reservas/admin.py	ES2-UFPI/404-portal	ac673d341a5a215441859fcd6184ff1e22a3fab4	[ "Apache-2.0" ]	46	2019-03-28T14:34:19.000Z	2021-09-22T19:02:11.000Z	backend/reservas/admin.py	ES2-UFPI/404-portal	ac673d341a5a215441859fcd6184ff1e22a3fab4	[ "Apache-2.0" ]	1	2022-02-17T16:51:04.000Z	2022-02-17T16:51:04.000Z	from django.contrib import admin from .models import Reserva admin.site.register(Reserva)	18.2	32	0.824176	13	91	5.769231	0.692308	0	0	0	0	0	0	0	0	0	0	0.10989	91	4	33	22.75	0.925926	0	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	null	0	0	0	0	1	0	1	0	1	0	5
5953f7d667b442f547a3963748e76fd82869bab9	205	py	Python	haptools/data/__init__.py	aryarm/admixtools	9b4393aa2985e1a3471485a892da724c52e1bca9	[ "MIT" ]	null	null	null	haptools/data/__init__.py	aryarm/admixtools	9b4393aa2985e1a3471485a892da724c52e1bca9	[ "MIT" ]	3	2021-12-20T06:25:46.000Z	2022-02-05T00:33:19.000Z	haptools/data/__init__.py	aryarm/admixtools	9b4393aa2985e1a3471485a892da724c52e1bca9	[ "MIT" ]	null	null	null	from .data import Data from .genotypes import Genotypes, GenotypesRefAlt from .phenotypes import Phenotypes from .covariates import Covariates from .haplotypes import Extra, Variant, Haplotype, Haplotypes	34.166667	61	0.839024	24	205	7.166667	0.458333	0	0	0	0	0	0	0	0	0	0	0.117073	205	5	62	41	0.950276	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	1	0	5
595b1162da14ef59b0f22a913681ef6fc35e7c01	45	py	Python	wave/wave/freq_old/domain/__init__.py	jedhsu/wave	a05d8f4b0a96722bdc2f5a514646c7a44681982b	[ "Apache-2.0" ]	null	null	null	wave/wave/freq_old/domain/__init__.py	jedhsu/wave	a05d8f4b0a96722bdc2f5a514646c7a44681982b	[ "Apache-2.0" ]	null	null	null	wave/wave/freq_old/domain/__init__.py	jedhsu/wave	a05d8f4b0a96722bdc2f5a514646c7a44681982b	[ "Apache-2.0" ]	null	null	null	from .param import * from .spectrum import *	15	23	0.733333	6	45	5.5	0.666667	0	0	0	0	0	0	0	0	0	0	0.177778	45	2	24	22.5	0.891892	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
596890ffe3e3cc8b3be9c28d0dbf0315b87054e0	53	py	Python	docs/source/plots/var_plot_forecast.py	madhushree14/statsmodels	04f00006a7aeb1c93d6894caa420698400da6c33	[ "BSD-3-Clause" ]	6,931	2015-01-01T11:41:55.000Z	2022-03-31T17:03:24.000Z	docs/source/plots/var_plot_forecast.py	madhushree14/statsmodels	04f00006a7aeb1c93d6894caa420698400da6c33	[ "BSD-3-Clause" ]	6,137	2015-01-01T00:33:45.000Z	2022-03-31T22:53:17.000Z	docs/source/plots/var_plot_forecast.py	madhushree14/statsmodels	04f00006a7aeb1c93d6894caa420698400da6c33	[ "BSD-3-Clause" ]	2,608	2015-01-02T21:32:31.000Z	2022-03-31T07:38:30.000Z	from var_plots import plot_forecast plot_forecast()	13.25	35	0.849057	8	53	5.25	0.75	0.571429	0	0	0	0	0	0	0	0	0	0.113208	53	3	36	17.666667	0.893617	0	0	0	0	0	0	0	0	0	0	1	0	true	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	1	0	1	0	0	0	5
59821f20d513c2ecfc35aeb284a1603cce8d3463	777	py	Python	minydra/console.py	pg2455/minydra	c1ac4987808b57e5dd0dfc332252623495ce4b15	[ "MIT" ]	null	null	null	minydra/console.py	pg2455/minydra	c1ac4987808b57e5dd0dfc332252623495ce4b15	[ "MIT" ]	null	null	null	minydra/console.py	pg2455/minydra	c1ac4987808b57e5dd0dfc332252623495ce4b15	[ "MIT" ]	null	null	null	class bcolors: HEADER = "\033[95m" OKBLUE = "\033[94m" OKGREEN = "\033[92m" WARNING = "\033[93m" FAIL = "\033[91m" ENDC = "\033[0m" BOLD = "\033[1m" UNDERLINE = "\033[4m" class MinyConsole: def _end(self, key, *args): return f"{key}{' '.join(args)}{bcolors.ENDC}" def o...	23.545455	53	0.584299	100	777	4.47	0.29	0.1566	0.187919	0.241611	0.375839	0.375839	0	0	0	0	0.063574	0.250965	777	32	54	24.28125	0.704467	0	0	0	0	0.123552	0.034749	0	0	0	0	1	0.291667	false	0	0	0.291667	1	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	1	1	0	5
59884f8d1b85980e98171ff305ebedead302adca	198	py	Python	doba/structures/__init__.py	marverix/doba	2ba1551be2bd891ece70d4ead1adea5b83f7486e	[ "Apache-2.0" ]	null	null	null	doba/structures/__init__.py	marverix/doba	2ba1551be2bd891ece70d4ead1adea5b83f7486e	[ "Apache-2.0" ]	null	null	null	doba/structures/__init__.py	marverix/doba	2ba1551be2bd891ece70d4ead1adea5b83f7486e	[ "Apache-2.0" ]	null	null	null	from .BackupPath import BackupPath from .Container import Container from .DobaContainersConfig import DobaContainersConfig from .Image import Image from .Port import Port from .Volume import Volume	28.285714	54	0.848485	24	198	7	0.333333	0	0	0	0	0	0	0	0	0	0	0.121212	198	6	55	33	0.965517	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	1	0	5
599967b5c70e420cafb5f200f50543c068f04a01	88	py	Python	app/module_load/__init__.py	B02902008/TaipeiWater	7364ce0bdfafddb7448cd8943c0c048f1a199dda	[ "MIT" ]	null	null	null	app/module_load/__init__.py	B02902008/TaipeiWater	7364ce0bdfafddb7448cd8943c0c048f1a199dda	[ "MIT" ]	null	null	null	app/module_load/__init__.py	B02902008/TaipeiWater	7364ce0bdfafddb7448cd8943c0c048f1a199dda	[ "MIT" ]	null	null	null	from flask import Blueprint blue_load = Blueprint('load', __name__) from . import view	17.6	39	0.772727	12	88	5.25	0.666667	0	0	0	0	0	0	0	0	0	0	0.147727	88	5	40	17.6	0.84	0	0	0	0	0.044944	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	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	1	5
59b01082e2e5bc03379549faaca4737d8b437504	24	py	Python	week 2/datatype.py	marksikaundi/Computer-Programming-with-Python	136fec0196a246eb47e3802337fb3fad38d441bb	[ "Intel" ]	2	2022-01-18T09:13:36.000Z	2022-01-18T09:41:05.000Z	week 2/datatype.py	marksikaundi/Computer-Programming-with-Python	136fec0196a246eb47e3802337fb3fad38d441bb	[ "Intel" ]	null	null	null	week 2/datatype.py	marksikaundi/Computer-Programming-with-Python	136fec0196a246eb47e3802337fb3fad38d441bb	[ "Intel" ]	null	null	null	print("this is dataype")	24	24	0.75	4	24	4.5	1	0	0	0	0	0	0	0	0	0	0	0.083333	24	1	24	24	0.818182	0	0	0	0	0.6	0	0	0	0	0	1	0	true	0	0	0	0	1	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	1	5
59bcee36fa1749592bf27dc1effeefa6c48b950e	82	py	Python	mathfun/primes/__init__.py	lsbardel/mathfun	98e7c210409c2b5777e91059c3651cef4f3045dd	[ "BSD-3-Clause" ]	null	null	null	mathfun/primes/__init__.py	lsbardel/mathfun	98e7c210409c2b5777e91059c3651cef4f3045dd	[ "BSD-3-Clause" ]	null	null	null	mathfun/primes/__init__.py	lsbardel/mathfun	98e7c210409c2b5777e91059c3651cef4f3045dd	[ "BSD-3-Clause" ]	null	null	null	from .gcd import xgcd from .prime_numbers import factors, is_prime, prime_factors	27.333333	59	0.829268	13	82	5	0.615385	0	0	0	0	0	0	0	0	0	0	0.121951	82	2	60	41	0.902778	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	1	0	5
abfb8a59f2c5a921f7dfdacb014f216ec2dd9879	39	py	Python	djsubject/__init__.py	ttngu207/canonical-colony-management	0bf0016f6836b3c6d90fe4b38871928e16dc0b9f	[ "MIT" ]	null	null	null	djsubject/__init__.py	ttngu207/canonical-colony-management	0bf0016f6836b3c6d90fe4b38871928e16dc0b9f	[ "MIT" ]	null	null	null	djsubject/__init__.py	ttngu207/canonical-colony-management	0bf0016f6836b3c6d90fe4b38871928e16dc0b9f	[ "MIT" ]	3	2020-05-06T23:44:26.000Z	2020-05-21T23:05:08.000Z	from .subject import schema as subject	19.5	38	0.820513	6	39	5.333333	0.833333	0	0	0	0	0	0	0	0	0	0	0.153846	39	1	39	39	0.969697	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
0501fdb7ce164c9cfa4a45dfed386b7e996ed439	3,701	py	Python	Icons/fu4028.py	friedc/fu	2f457ebb3b6f98a3a9838ec791e88044594c9bca	[ "BSD-2-Clause" ]	null	null	null	Icons/fu4028.py	friedc/fu	2f457ebb3b6f98a3a9838ec791e88044594c9bca	[ "BSD-2-Clause" ]	null	null	null	Icons/fu4028.py	friedc/fu	2f457ebb3b6f98a3a9838ec791e88044594c9bca	[ "BSD-2-Clause" ]	null	null	null	#---------------------------------------------------------------------- # This file was generated by C:\Python27\Scripts\img2py # from wx.lib.embeddedimage import PyEmbeddedImage fu4028 = PyEmbeddedImage( "iVBORw0KGgoAAAANSUhEUgAAACgAAAAcCAYAAAATFf3WAAAAAXNSR0IArs4c6QAAAARnQU1B" "AACxjwv8YQUAAAAJcEhZcwA...	68.537037	79	0.851932	141	3,701	22.361702	0.964539	0	0	0	0	0	0	0	0	0	0.138579	0.079708	3,701	53	80	69.830189	0.78714	0.033504	0	1	0	0.863636	0.859091	0	1	0	0	1	0	false	0.020833	0.020833	0	0.020833	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	null	1	0	0	0	0	0	0	0	0	0	5
050f6e8862f46f19f26b98bf9249d85c71cdf4c8	177	py	Python	Buzznauts/__init__.py	eduardojdiniz/Buzznauts	8ac242a8d5309b4090a0f0b148ec275cac762bc0	[ "MIT" ]	2	2021-08-03T15:07:04.000Z	2022-03-02T15:10:07.000Z	Buzznauts/__init__.py	eduardojdiniz/Buzznauts	8ac242a8d5309b4090a0f0b148ec275cac762bc0	[ "MIT" ]	8	2021-08-04T14:21:14.000Z	2021-08-16T21:07:12.000Z	Buzznauts/__init__.py	eduardojdiniz/Buzznauts	8ac242a8d5309b4090a0f0b148ec275cac762bc0	[ "MIT" ]	null	null	null	#!/usr/bin/env python # coding=utf-8 from __future__ import absolute_import, division, print_function from .version import __version__ # noqa from .Buzznauts import * # noqa	25.285714	64	0.774011	24	177	5.291667	0.708333	0	0	0	0	0	0	0	0	0	0.006579	0.141243	177	6	65	29.5	0.828947	0.242938	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0.333333	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	1	0	5
055b6d75c35fa7f14482be9ba1095496a0d3ec94	81	py	Python	jaseci_core/jaseci/actions/vector.py	Gim3l/jaseci	cca187ed3e6aae31514c6c0353a7844f7703d039	[ "MIT" ]	null	null	null	jaseci_core/jaseci/actions/vector.py	Gim3l/jaseci	cca187ed3e6aae31514c6c0353a7844f7703d039	[ "MIT" ]	null	null	null	jaseci_core/jaseci/actions/vector.py	Gim3l/jaseci	cca187ed3e6aae31514c6c0353a7844f7703d039	[ "MIT" ]	null	null	null	"""Built in actions for Jaseci""" from .module.vector_actions import * # noqa	16.2	44	0.703704	11	81	5.090909	0.909091	0	0	0	0	0	0	0	0	0	0	0.17284	81	4	45	20.25	0.835821	0.407407	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	1	0	5
056c390c7cc74e9f86f6fb364220f0bf7d143093	30	py	Python	powerline_owmweather/__init__.py	suoto/powerline-owmweather	529b6928bdcd43f731e665c03227158f36872624	[ "MIT" ]	null	null	null	powerline_owmweather/__init__.py	suoto/powerline-owmweather	529b6928bdcd43f731e665c03227158f36872624	[ "MIT" ]	null	null	null	powerline_owmweather/__init__.py	suoto/powerline-owmweather	529b6928bdcd43f731e665c03227158f36872624	[ "MIT" ]	null	null	null	from .weather import weather	10	28	0.8	4	30	6	0.75	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	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	null	0	0	0	0	1	0	1	0	0	0	5
0591bc17586cf19a6f9f80eb8f6a0726273e6f12	32	py	Python	problem/01000~09999/04999/4999.py3.py	njw1204/BOJ-AC	1de41685725ae4657a7ff94e413febd97a888567	[ "MIT" ]	1	2019-04-19T16:37:44.000Z	2019-04-19T16:37:44.000Z	problem/01000~09999/04999/4999.py3.py	njw1204/BOJ-AC	1de41685725ae4657a7ff94e413febd97a888567	[ "MIT" ]	1	2019-04-20T11:42:44.000Z	2019-04-20T11:42:44.000Z	problem/01000~09999/04999/4999.py3.py	njw1204/BOJ-AC	1de41685725ae4657a7ff94e413febd97a888567	[ "MIT" ]	3	2019-04-19T16:37:47.000Z	2021-10-25T00:45:00.000Z	print('gn'[input()>input()]+'o')	32	32	0.5625	5	32	3.6	0.8	0	0	0	0	0	0	0	0	0	0	0	32	1	32	32	0.5625	0	0	0	0	0.090909	0	0	0	0	0	1	0	true	0	0	0	0	1	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	1	5
5538e2681589f52e8e442691ef1dc410b9be755e	42	py	Python	scripts/lastdata.py	winkste/rki2_scraper	e8ad3e9ab2530a5b9a91886e263ac7e137030ce6	[ "MIT" ]	null	null	null	scripts/lastdata.py	winkste/rki2_scraper	e8ad3e9ab2530a5b9a91886e263ac7e137030ce6	[ "MIT" ]	null	null	null	scripts/lastdata.py	winkste/rki2_scraper	e8ad3e9ab2530a5b9a91886e263ac7e137030ce6	[ "MIT" ]	null	null	null	celle_last_inc =121.53 noh_last_inc =73.25	21	22	0.833333	10	42	3.1	0.8	0.451613	0	0	0	0	0	0	0	0	0.230769	0.071429	42	2	23	21	0.564103	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	1	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	5
5545884a3f92092201b6771a732a3c7e12b36068	34	py	Python	reth/reth/algorithm/dqn/__init__.py	sosp2021/Reth	10c032f44a25049355ebdd97a2cb3299e8c3fb82	[ "MIT" ]	null	null	null	reth/reth/algorithm/dqn/__init__.py	sosp2021/Reth	10c032f44a25049355ebdd97a2cb3299e8c3fb82	[ "MIT" ]	1	2021-08-10T02:58:58.000Z	2021-08-10T02:58:58.000Z	reth/reth/algorithm/dqn/__init__.py	sosp2021/reth	10c032f44a25049355ebdd97a2cb3299e8c3fb82	[ "MIT" ]	null	null	null	from .dqn_solver import DQNSolver	17	33	0.852941	5	34	5.6	1	0	0	0	0	0	0	0	0	0	0	0.117647	34	1	34	34	0.933333	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
554b34eafe0ff961a9ed8a5ad7beef54aa4a65fe	63	py	Python	aerokit/aero/riemann.py	PierreMignerot/aerokit	78717288d840ef5cb3939b44e967cf8f250dc270	[ "MIT" ]	null	null	null	aerokit/aero/riemann.py	PierreMignerot/aerokit	78717288d840ef5cb3939b44e967cf8f250dc270	[ "MIT" ]	null	null	null	aerokit/aero/riemann.py	PierreMignerot/aerokit	78717288d840ef5cb3939b44e967cf8f250dc270	[ "MIT" ]	null	null	null	# backward compatibility from aerokit.instance.riemann import *	31.5	38	0.84127	7	63	7.571429	1	0	0	0	0	0	0	0	0	0	0	0.095238	63	2	38	31.5	0.929825	0.349206	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	1	0	5
555b4334789b104c3cb3ee0b3b11a1d01f452cfe	36,708	py	Python	komle/bindings/v1411/write/_gmd.py	HemersonRafael/komle	01fb03447e063130c6a2c6830e07bbd220518996	[ "Apache-2.0" ]	null	null	null	komle/bindings/v1411/write/_gmd.py	HemersonRafael/komle	01fb03447e063130c6a2c6830e07bbd220518996	[ "Apache-2.0" ]	null	null	null	komle/bindings/v1411/write/_gmd.py	HemersonRafael/komle	01fb03447e063130c6a2c6830e07bbd220518996	[ "Apache-2.0" ]	null	null	null	# komle/bindings/v1411/write/_gmd.py # -- coding: utf-8 -- # PyXB bindings for NM:410705b36885cae3fa86a581e054e9b962463ed8 # Generated 2020-05-05 12:37:19.643594 by PyXB version 1.2.6 using Python 3.8.2.final.0 # Namespace http://www.isotc211.org/2005/gmd [xmlns:gmd] from __future__ import unicode_literals import i...	142.27907	22,602	0.829138	4,600	36,708	6.346087	0.073696	0.088723	0.190121	0.228145	0.615751	0.613696	0.611983	0.599651	0.021924	0	0.077377	0.05364	36,708	257	22,603	142.832685	0.762947	0.657541	0.019139	1	0	0.008569	0.003604	0	0	0	0	1	0.009569	false	0	0.052632	0	0.076555	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	5
5564987b0ec54b45b52b845518aab9ffc474385a	154	py	Python	metrics/metrics_interface.py	DominikSpiljak/imdb-review-classifier	7f89d411966632d16d8bfed3548d47eb1f914020	[ "Apache-2.0" ]	null	null	null	metrics/metrics_interface.py	DominikSpiljak/imdb-review-classifier	7f89d411966632d16d8bfed3548d47eb1f914020	[ "Apache-2.0" ]	null	null	null	metrics/metrics_interface.py	DominikSpiljak/imdb-review-classifier	7f89d411966632d16d8bfed3548d47eb1f914020	[ "Apache-2.0" ]	null	null	null	class Metric: def initialize(self): pass def log_batch(self, predicted, ground_truth): pass def compute(self): pass	15.4	49	0.590909	18	154	4.944444	0.666667	0.179775	0	0	0	0	0	0	0	0	0	0.331169	154	9	50	17.111111	0.864078	0	0.428571	0	0	0	0	0	0	0	0	1	0.428571	false	0.428571	0	0	0.571429	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	1	0	0	1	0	5
e965640c569c3e22c1b551a4decb1a1ac48a30ab	161	py	Python	audiorename/utils.py	Josef-Friedrich/mutagen-renamer	3df494f04dc74b4ed5a70150502756ba80a81cd4	[ "MIT" ]	null	null	null	audiorename/utils.py	Josef-Friedrich/mutagen-renamer	3df494f04dc74b4ed5a70150502756ba80a81cd4	[ "MIT" ]	null	null	null	audiorename/utils.py	Josef-Friedrich/mutagen-renamer	3df494f04dc74b4ed5a70150502756ba80a81cd4	[ "MIT" ]	null	null	null	import re def indent(text: str) -> str: return ' ' + re.sub(r'\n', '\n ', text) def read_file(path: str) -> str: return open(path, 'r').read()	16.1	49	0.534161	25	161	3.4	0.56	0.141176	0.282353	0	0	0	0	0	0	0	0	0.254658	161	9	50	17.888889	0.708333	0	0	0	0	0.080745	0	0	0	0	0	1	0.4	false	0	0.2	0.4	1	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	1	0	0	0	1	0	0	5
e96c727c86f49695cf042faff7e60f902055f05f	125	py	Python	flask_api/app/resources/__init__.py	brennanhfredericks/network-monitor-server	7c811d7851aee5d069569306c46dff39d8d52400	[ "MIT" ]	null	null	null	flask_api/app/resources/__init__.py	brennanhfredericks/network-monitor-server	7c811d7851aee5d069569306c46dff39d8d52400	[ "MIT" ]	null	null	null	flask_api/app/resources/__init__.py	brennanhfredericks/network-monitor-server	7c811d7851aee5d069569306c46dff39d8d52400	[ "MIT" ]	null	null	null	from .packet_endpoints import ( Packet_EP, Packet_Table_EP, Packet_Table_Counts_EP, Packet_Table_Views_EP, )	17.857143	31	0.744	17	125	4.882353	0.470588	0.289157	0.46988	0	0	0	0	0	0	0	0	0.2	125	6	32	20.833333	0.83	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.166667	0	0.166667	0	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	1	0	0	0	0	0	5
e9c15e337ba78228c400dea800cc3b186d86f49d	55	py	Python	tests/__init__.py	pyj4104/FuncToWav	f6076cf71a51ac8f2612f3a26f35ca1efca0811d	[ "MIT" ]	null	null	null	tests/__init__.py	pyj4104/FuncToWav	f6076cf71a51ac8f2612f3a26f35ca1efca0811d	[ "MIT" ]	null	null	null	tests/__init__.py	pyj4104/FuncToWav	f6076cf71a51ac8f2612f3a26f35ca1efca0811d	[ "MIT" ]	null	null	null	import sys sys.path.append('~/Func2Wav/FuncToWav/src')	18.333333	43	0.763636	8	55	5.25	0.875	0	0	0	0	0	0	0	0	0	0.019231	0.054545	55	2	44	27.5	0.788462	0	0	0	0	0.436364	0.436364	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	1	null	0	0	0	0	1	0	1	0	0	0	5
e9d85fb7192ec175a27c9e1f5f71288fe27f8035	203	py	Python	searchtube/db.py	dermasmid/searchtube	68d740b37b990d00c35e9eec4fa30cc24affe954	[ "MIT" ]	11	2021-06-17T06:12:29.000Z	2022-02-17T14:54:08.000Z	searchtube/db.py	dermasmid/searchtube	68d740b37b990d00c35e9eec4fa30cc24affe954	[ "MIT" ]	null	null	null	searchtube/db.py	dermasmid/searchtube	68d740b37b990d00c35e9eec4fa30cc24affe954	[ "MIT" ]	null	null	null	from pymongo import MongoClient import os def get_client(): client = MongoClient('searchtube_mongo', 27017, username=os.environ['DB_USERNAME'], password=os.environ['DB_PASSWORD']) return client	29	123	0.763547	26	203	5.807692	0.615385	0.119205	0.145695	0	0	0	0	0	0	0	0.02809	0.123153	203	6	124	33.833333	0.820225	0	0	0	0	0.187192	0	0	0	0	0	1	0.2	false	0.2	0.4	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	null	0	0	0	0	0	1	1	0	1	0	5
756a5e7cc869a0c3e6f927a064fd2bbad38f34d6	6,769	py	Python	uw_canvas/external_tools.py	uw-it-aca/uw-restclients-canvas	2c54d7676649ec18129817992890878ace1ec6c6	[ "Apache-2.0" ]	1	2019-11-26T21:38:50.000Z	2019-11-26T21:38:50.000Z	uw_canvas/external_tools.py	uw-it-aca/uw-restclients-canvas	2c54d7676649ec18129817992890878ace1ec6c6	[ "Apache-2.0" ]	135	2017-04-04T23:11:26.000Z	2021-05-28T17:00:20.000Z	uw_canvas/external_tools.py	uw-it-aca/uw-restclients-canvas	2c54d7676649ec18129817992890878ace1ec6c6	[ "Apache-2.0" ]	2	2020-05-20T20:36:55.000Z	2022-03-05T00:23:44.000Z	# Copyright 2021 UW-IT, University of Washington # SPDX-License-Identifier: Apache-2.0 from uw_canvas import Canvas from uw_canvas.accounts import ACCOUNTS_API from uw_canvas.courses import COURSES_API class ExternalToolsException(Exception): pass class ExternalTools(Canvas): def get_external_tools_in_acco...	40.777108	116	0.670114	851	6,769	4.962397	0.092832	0.129292	0.07104	0.0592	0.852001	0.813403	0.762965	0.694056	0.636751	0.541558	0.001187	0.253361	6,769	165	117	41.024242	0.834389	0.306397	0.287671	0	0	0.033403	0.007942	0	0	0	0	1	0.246575	false	0.013699	0.041096	0.082192	0.561644	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	1	0	5
758d7ae97eca22789ab13746cb71c59220fd4ee8	129	py	Python	easyPlog/__init__.py	whuhit/easyPlog	a09e94f3619bb5f3a059a292cc19e7d1f4fb443a	[ "MIT" ]	null	null	null	easyPlog/__init__.py	whuhit/easyPlog	a09e94f3619bb5f3a059a292cc19e7d1f4fb443a	[ "MIT" ]	null	null	null	easyPlog/__init__.py	whuhit/easyPlog	a09e94f3619bb5f3a059a292cc19e7d1f4fb443a	[ "MIT" ]	null	null	null	""" @author: yangqiang @contact: whuhit2020@gmail.com @file: __init__.py.py @time: 2020/4/3 14:49 """ from .easyPlog import Plog	16.125	30	0.713178	20	129	4.4	0.95	0	0	0	0	0	0	0	0	0	0.122807	0.116279	129	7	31	18.428571	0.649123	0.72093	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	1	0	5
758fc65a148479b0a1df117e202f4813587271d6	151	py	Python	models/__init__.py	theorenck/pm-bot	798d1b573db0bd470fe7007f97d4f84148093f8b	[ "MIT" ]	null	null	null	models/__init__.py	theorenck/pm-bot	798d1b573db0bd470fe7007f97d4f84148093f8b	[ "MIT" ]	null	null	null	models/__init__.py	theorenck/pm-bot	798d1b573db0bd470fe7007f97d4f84148093f8b	[ "MIT" ]	null	null	null	from .colors import Color, Colors from .grid import Location, Annotation, Annotations, Grid from .minimap import Minimap from .astar import AStarSearch	37.75	57	0.821192	20	151	6.2	0.55	0	0	0	0	0	0	0	0	0	0	0.125828	151	4	58	37.75	0.939394	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	1	0	5
f933e64f330919ecd9b43196ea6f6afe010ecbf4	264	py	Python	src/cautious_invention/utils.py	MerktSimon/cautious-invention	fb04b1afd57f4d8c9ca3431d777f2f59dc30b4e9	[ "MIT" ]	null	null	null	src/cautious_invention/utils.py	MerktSimon/cautious-invention	fb04b1afd57f4d8c9ca3431d777f2f59dc30b4e9	[ "MIT" ]	null	null	null	src/cautious_invention/utils.py	MerktSimon/cautious-invention	fb04b1afd57f4d8c9ca3431d777f2f59dc30b4e9	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- """Contain the utilities of cautious-invention.""" my_awesome_constant = 4 def hello_world(): """Print hello World.""" print("Hello, I am a cautious invention") def add(x, y): """Add two numbers together.""" return x+y	17.6	50	0.625	37	264	4.378378	0.72973	0.209877	0.185185	0.246914	0	0	0	0	0	0	0.009524	0.204545	264	14	51	18.857143	0.761905	0.424242	0	0	0	0.235294	0	0	0	0	0	1	0.4	false	0	0	0	0.6	0.2	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	1	0	5
f93d3dd242ef0631e597d0dcaf621d352179618f	25	py	Python	silverpieces/__init__.py	fareedmirza/silverpieces	930edb9d962cb322a19e66aa3cc29eebe6d1d037	[ "MIT" ]	1	2019-07-17T04:30:37.000Z	2019-07-17T04:30:37.000Z	silverpieces/__init__.py	fareedmirza/silverpieces	930edb9d962cb322a19e66aa3cc29eebe6d1d037	[ "MIT" ]	5	2019-07-17T03:49:19.000Z	2019-07-18T04:41:20.000Z	silverpieces/__init__.py	fareedmirza/silverpieces	930edb9d962cb322a19e66aa3cc29eebe6d1d037	[ "MIT" ]	3	2020-03-01T22:15:52.000Z	2020-07-29T05:44:54.000Z	# required for python2?	8.333333	23	0.72	3	25	6	1	0	0	0	0	0	0	0	0	0	0.05	0.2	25	2	24	12.5	0.85	0.84	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	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
f97ca2643ecffa66e061e771160e087bf20e75fd	250	py	Python	safe/safe_dict.py	andreclaudino/python-safe-dict	b0bfdbd47c68810d9f8741cc1ca69e6a3c584ca5	[ "MIT" ]	null	null	null	safe/safe_dict.py	andreclaudino/python-safe-dict	b0bfdbd47c68810d9f8741cc1ca69e6a3c584ca5	[ "MIT" ]	null	null	null	safe/safe_dict.py	andreclaudino/python-safe-dict	b0bfdbd47c68810d9f8741cc1ca69e6a3c584ca5	[ "MIT" ]	null	null	null	class SafeDict(dict): def __init__(self, dictionary:dict = {}, default=None, kwargs): super().__init__(dictionary, **kwargs) self.default = default def __getitem__(self, key): return self.get(key, self.default)	25	69	0.632	28	250	5.214286	0.535714	0.150685	0	0	0	0	0	0	0	0	0	0.22	250	9	70	27.777778	0.748718	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0.166667	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	1	0	0	0	1	1	0	5
f98296934b3b5b93f9b88830c6700ed8f9f5dc91	48	py	Python	dog_cmd.py	vilsmeier/SummerSession_2021	308430a5ec16828ee193a9b1ca2f09b888492ce8	[ "MIT" ]	1	2021-08-17T12:37:43.000Z	2021-08-17T12:37:43.000Z	dog_cmd.py	vilsmeier/SummerSession_2021	308430a5ec16828ee193a9b1ca2f09b888492ce8	[ "MIT" ]	null	null	null	dog_cmd.py	vilsmeier/SummerSession_2021	308430a5ec16828ee193a9b1ca2f09b888492ce8	[ "MIT" ]	null	null	null	from DogService import * add_heart_rate(2,89)	9.6	24	0.770833	8	48	4.375	1	0	0	0	0	0	0	0	0	0	0.073171	0.145833	48	4	25	12	0.780488	0	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	null	0	0	0	0	1	0	1	0	0	0	5
f99b5b1c515470f3471e9568df015375fdcc2cf8	152	py	Python	controller/server.py	uniaim-event-team/watch-link	0ad2665fd88cba2fdb7e7c8f533bb5a8e6d91b31	[ "MIT" ]	2	2020-05-05T14:53:00.000Z	2020-05-05T14:53:13.000Z	controller/server.py	uniaim-event-team/watch-link	0ad2665fd88cba2fdb7e7c8f533bb5a8e6d91b31	[ "MIT" ]	1	2021-03-01T02:00:11.000Z	2021-03-01T02:00:11.000Z	controller/server.py	uniaim-event-team/watch-link	0ad2665fd88cba2fdb7e7c8f533bb5a8e6d91b31	[ "MIT" ]	null	null	null	from flask import Blueprint, render_template app = Blueprint(__name__, "server") @app.route('/') def route(): return render_template('top.html')	16.888889	44	0.717105	19	152	5.421053	0.736842	0.271845	0	0	0	0	0	0	0	0	0	0.138158	152	8	45	19	0.78626	0	0	0	0	0.098684	0	0	0	0	0	1	0.2	false	0	0.2	0.2	0.6	0.4	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	1	1	0	5
f9e70a190b61b5a6f43c58d9f3ad467639c468de	166	py	Python	torchlit/utils/__init__.py	himanshu-dutta/torchlit	74bb7f07e9c10fc2dbd04d26217a0be767192992	[ "MIT" ]	1	2021-03-08T14:03:55.000Z	2021-03-08T14:03:55.000Z	torchlit/utils/__init__.py	himanshu-dutta/torchlit	74bb7f07e9c10fc2dbd04d26217a0be767192992	[ "MIT" ]	null	null	null	torchlit/utils/__init__.py	himanshu-dutta/torchlit	74bb7f07e9c10fc2dbd04d26217a0be767192992	[ "MIT" ]	null	null	null	def to_device(data, device): if isinstance(data, (list, tuple)): return [to_device(x, device) for x in data] return data.to(device, non_blocking=True)	41.5	51	0.680723	26	166	4.230769	0.576923	0.218182	0	0	0	0	0	0	0	0	0	0.192771	166	4	52	41.5	0.820896	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0	0	0.75	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	1	0	5
ddb14f05a0f7c875347127deb355039c607f56fb	275	py	Python	inspecta/__init__.py	grimen/python-inspecta	67dd442f549304e1c2634e6a769ea364141a3577	[ "MIT" ]	null	null	null	inspecta/__init__.py	grimen/python-inspecta	67dd442f549304e1c2634e6a769ea364141a3577	[ "MIT" ]	null	null	null	inspecta/__init__.py	grimen/python-inspecta	67dd442f549304e1c2634e6a769ea364141a3577	[ "MIT" ]	null	null	null	# ========================================= # IMPORTS # -------------------------------------- import rootpath rootpath.append() # ========================================= # EXPORTS # -------------------------------------- from inspecta.inspector import *	17.1875	43	0.250909	10	275	6.9	0.8	0	0	0	0	0	0	0	0	0	0	0.134545	275	15	44	18.333333	0.289916	0.687273	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	0	0	0	1	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	5
ddbf4a67f4b86cbc3a99610fa00f5f44add9683f	57	py	Python	call_sibling.py	sahlinet/tumbo-demoapp	2353a656fc236d992a45729c8b6105260b48b6a9	[ "MIT" ]	null	null	null	call_sibling.py	sahlinet/tumbo-demoapp	2353a656fc236d992a45729c8b6105260b48b6a9	[ "MIT" ]	null	null	null	call_sibling.py	sahlinet/tumbo-demoapp	2353a656fc236d992a45729c8b6105260b48b6a9	[ "MIT" ]	null	null	null	def func(self): return self.siblings.sibling_A(self)	19	40	0.736842	9	57	4.555556	0.777778	0	0	0	0	0	0	0	0	0	0	0.140351	57	2	41	28.5	0.836735	0	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	null	0	0	0	1	0	0	0	1	1	0	5
ddd5a0222f3d5977939485bdcd5bbadbf98977d8	61	py	Python	penut/__init__.py	penut85420/Penut	834fa188e936697c1724f478e22b3b2a1c9041d1	[ "MIT" ]	null	null	null	penut/__init__.py	penut85420/Penut	834fa188e936697c1724f478e22b3b2a1c9041d1	[ "MIT" ]	null	null	null	penut/__init__.py	penut85420/Penut	834fa188e936697c1724f478e22b3b2a1c9041d1	[ "MIT" ]	null	null	null	from .utils import TimeCost, walk_dir, td2s, timedelta2string	61	61	0.836066	8	61	6.25	1	0	0	0	0	0	0	0	0	0	0.036364	0.098361	61	1	61	61	0.872727	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	1	0	5
ddd8c76827f80072100905335e8afc94540c053d	363	py	Python	src/models/ffhq_1024_haar/__init__.py	YorkUCVIL/Wavelet-Flow	8d6d63fa116ec44299c32f37e66817594510f644	[ "MIT" ]	59	2020-10-28T03:09:05.000Z	2022-01-29T22:10:04.000Z	src/models/ffhq_1024_haar/__init__.py	YorkUCVIL/Wavelet-Flow	8d6d63fa116ec44299c32f37e66817594510f644	[ "MIT" ]	4	2020-12-24T11:00:40.000Z	2021-05-22T06:14:27.000Z	src/models/ffhq_1024_haar/__init__.py	YorkUCVIL/Wavelet-Flow	8d6d63fa116ec44299c32f37e66817594510f644	[ "MIT" ]	2	2020-10-29T01:15:03.000Z	2021-04-20T11:55:51.000Z	from models.ffhq_1024_haar.Training_data import * from models.ffhq_1024_haar.Validation_data import * from models.ffhq_1024_haar.Network_body import * from models.ffhq_1024_haar.Conditioning_network import * import models.shared.routines as routines from models.ffhq_1024_haar.build_training_graph import * model_config...	40.333333	56	0.859504	56	363	5.214286	0.375	0.164384	0.246575	0.308219	0.465753	0.315068	0.219178	0	0	0	0.071642	0.077135	363	8	57	45.375	0.8	0	0	0	0	0.088154	0.088154	0	0	0	0	1	0	false	0	0.857143	0	0.857143	0	0	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	1	0	1	0	5
ddfd7c2e62761183b7b29182595343c0b7c0bd31	88	py	Python	signaling-games/algs/model_agents/__init__.py	vbhatt-cs/inference-based-messaging	323438a2ff5814712faf1be80048459c1a556d72	[ "MIT" ]	3	2021-03-10T15:22:26.000Z	2021-09-18T02:25:46.000Z	signaling-games/algs/model_agents/__init__.py	vbhatt-cs/inference-based-messaging	323438a2ff5814712faf1be80048459c1a556d72	[ "MIT" ]	null	null	null	signaling-games/algs/model_agents/__init__.py	vbhatt-cs/inference-based-messaging	323438a2ff5814712faf1be80048459c1a556d72	[ "MIT" ]	1	2021-04-05T05:26:55.000Z	2021-04-05T05:26:55.000Z	from .model_s import ModelS from .model_r import ModelR __all__ = ["ModelR", "ModelS"]	17.6	30	0.738636	13	88	4.538462	0.615385	0.305085	0	0	0	0	0	0	0	0	0	0.147727	88	4	31	22	0.786667	0	0	0	0	0.136364	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	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	1	0	5
fb0e36e0c441d3755c689f994145e928e7b8d698	77	py	Python	i18nparse/__init__.py	nueh/i18nparse	eee8ba8da4aedeff25fba8258b0e4face2ce9289	[ "MIT" ]	5	2019-12-07T18:55:53.000Z	2022-01-25T08:22:49.000Z	i18nparse/__init__.py	nueh/i18nparse	eee8ba8da4aedeff25fba8258b0e4face2ce9289	[ "MIT" ]	3	2018-11-15T10:52:26.000Z	2021-06-06T21:28:02.000Z	i18nparse/__init__.py	nueh/i18nparse	eee8ba8da4aedeff25fba8258b0e4face2ce9289	[ "MIT" ]	4	2020-03-25T19:34:25.000Z	2021-08-05T08:21:16.000Z	from .version import __version__ from .i18nparse import activate, deactivate	25.666667	43	0.844156	9	77	6.777778	0.666667	0	0	0	0	0	0	0	0	0	0.029412	0.116883	77	2	44	38.5	0.867647	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	1	0	5
fb328e35760fdc117e59d8f252695e30e3ae3eb0	125	py	Python	HackerRank/Python3/set_union.py	santoshgawande/DS-Algorithms	eb1de229fd3336d862bd4787295f208a4424d0bb	[ "Apache-2.0" ]	null	null	null	HackerRank/Python3/set_union.py	santoshgawande/DS-Algorithms	eb1de229fd3336d862bd4787295f208a4424d0bb	[ "Apache-2.0" ]	null	null	null	HackerRank/Python3/set_union.py	santoshgawande/DS-Algorithms	eb1de229fd3336d862bd4787295f208a4424d0bb	[ "Apache-2.0" ]	null	null	null	am = int(input()) a = set(map(int,input().split())) bm = int(input()) b =set(map(int,input().split())) print(len(a.union(b)))	25	33	0.6	23	125	3.26087	0.521739	0.426667	0.24	0.373333	0.506667	0	0	0	0	0	0	0.088	125	5	34	25	0.657895	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.2	1	0	0	null	1	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	5
fb3d6cc6625bd5b1d1886cac12d840367075b01b	30	py	Python	src/hello_world.py	DreamMazeTeam/BootSrc	e24e8a234c66e7ae71565f7047db177f0402da72	[ "MIT" ]	null	null	null	src/hello_world.py	DreamMazeTeam/BootSrc	e24e8a234c66e7ae71565f7047db177f0402da72	[ "MIT" ]	null	null	null	src/hello_world.py	DreamMazeTeam/BootSrc	e24e8a234c66e7ae71565f7047db177f0402da72	[ "MIT" ]	null	null	null	import module1 module1.hello()	15	15	0.833333	4	30	6.25	0.75	0	0	0	0	0	0	0	0	0	0.071429	0.066667	30	2	15	15	0.821429	0	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	null	0	0	0	0	1	0	1	0	0	0	5
34d1620d480a8eb06884d68fb99586549ab08464	17,733	py	Python	smda/intel/MnemonicTfIdf.py	jcrussell/smda	331cb68f511d55ef6db276b81ae6cedea40dd3eb	[ "BSD-2-Clause" ]	142	2018-07-12T04:54:39.000Z	2022-03-25T09:41:23.000Z	smda/intel/MnemonicTfIdf.py	jcrussell/smda	331cb68f511d55ef6db276b81ae6cedea40dd3eb	[ "BSD-2-Clause" ]	23	2018-07-01T14:11:43.000Z	2022-03-22T18:20:46.000Z	smda/intel/MnemonicTfIdf.py	jcrussell/smda	331cb68f511d55ef6db276b81ae6cedea40dd3eb	[ "BSD-2-Clause" ]	25	2018-09-13T10:49:55.000Z	2022-03-07T13:53:39.000Z	import math from collections import Counter from copy import deepcopy class MnemonicTfIdf(object): idf = {} # derived using groundtruth by Andriesse, Bao, and Plohmann # all_histograms_x86 = Counter({'num_functions': 572387, 'mov': 511833, 'ret': 500172, 'push': 452213, 'add': 423033, 'call': 414348, 'sub'...	295.55	5,104	0.580556	2,580	17,733	3.962403	0.418992	0.012325	0.007434	0.006456	0.116013	0.09283	0.083439	0.065734	0.057615	0.043236	0.209044	0.160774	17,733	59	5,105	300.559322	0.477893	0.595725	0	0	0	0.288292	0	0	0	0	0	1	0.193548	false	0	0.096774	0.096774	0.580645	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	5
34fb973f7565c2abf16ca28aee303ff9836a614c	39	py	Python	main.py	digitaltembo/kismet	60c6ed470f3a891bad0aee90659bd40cea36d993	[ "MIT" ]	null	null	null	main.py	digitaltembo/kismet	60c6ed470f3a891bad0aee90659bd40cea36d993	[ "MIT" ]	null	null	null	main.py	digitaltembo/kismet	60c6ed470f3a891bad0aee90659bd40cea36d993	[ "MIT" ]	null	null	null	from application import app app = app	9.75	27	0.769231	6	39	5	0.666667	0.4	0	0	0	0	0	0	0	0	0	0.205128	39	3	28	13	0.967742	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	1	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	5
9b9de1215241b49f4f40d0f68243f9ac55d823de	145	py	Python	tail.py	doctoryes/python-morsels	4899cea21f4758a6ec8640e2152f40b3b9145dee	[ "MIT" ]	null	null	null	tail.py	doctoryes/python-morsels	4899cea21f4758a6ec8640e2152f40b3b9145dee	[ "MIT" ]	null	null	null	tail.py	doctoryes/python-morsels	4899cea21f4758a6ec8640e2152f40b3b9145dee	[ "MIT" ]	null	null	null	def tail(things, num_items): if num_items <= 0: return [] x = list(things) return [i for i in x[max(len(x)-num_items, 0):]]	20.714286	52	0.565517	25	145	3.16	0.6	0.303797	0.227848	0	0	0	0	0	0	0	0.019048	0.275862	145	6	53	24.166667	0.733333	0	0	0	0	0	0	0	0	0	0	1	0.2	false	0	0	0	0.6	0	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	1	0	5
9baa52cd5cbc0e67d8f49ca281e2d95346630e39	118	py	Python	rawdisk/scheme/__init__.py	dariusbakunas/rawdisk	d4c72d37b2c1cf27bf65e7b2c2923f14d00939c4	[ "BSD-3-Clause" ]	3	2017-05-21T12:50:05.000Z	2019-09-29T11:05:58.000Z	rawdisk/scheme/__init__.py	dariusbakunas/rawdisk	d4c72d37b2c1cf27bf65e7b2c2923f14d00939c4	[ "BSD-3-Clause" ]	149	2016-02-16T09:36:46.000Z	2021-05-21T11:04:14.000Z	rawdisk/scheme/__init__.py	dariusbakunas/rawdisk	d4c72d37b2c1cf27bf65e7b2c2923f14d00939c4	[ "BSD-3-Clause" ]	3	2016-02-16T10:11:39.000Z	2020-01-18T11:46:50.000Z	# -- coding: utf-8 -- __all__ = ['mbr', 'gpt', 'common'] from . import common from . import mbr from . import gpt	14.75	34	0.601695	16	118	4.1875	0.5625	0.447761	0.477612	0	0	0	0	0	0	0	0.010638	0.20339	118	7	35	16.857143	0.702128	0.177966	0	0	0	0.126316	0	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	5
32dac51b5428a7e11fc25b807a262ab5cc1e9b16	79	py	Python	__init__.py	Sleemanmunk/approximate-randomization	96c854b5f49e693c7b085096abf3743d4547e3c5	[ "Apache-2.0" ]	5	2020-04-29T06:46:49.000Z	2022-01-20T14:58:08.000Z	__init__.py	Sleemanmunk/approximate-randomization	96c854b5f49e693c7b085096abf3743d4547e3c5	[ "Apache-2.0" ]	null	null	null	__init__.py	Sleemanmunk/approximate-randomization	96c854b5f49e693c7b085096abf3743d4547e3c5	[ "Apache-2.0" ]	1	2022-02-15T07:30:48.000Z	2022-02-15T07:30:48.000Z	from .approximate_randomization import meandiff, meanlt, meangt, chanceByChance	79	79	0.873418	8	79	8.5	1	0	0	0	0	0	0	0	0	0	0	0.075949	79	1	79	79	0.931507	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	1	0	5
32fe96a3d4e0a8b98ab3036cb4d04465fed94bec	43	py	Python	beluga/continuation/ContinuationSolution.py	Rapid-Design-of-Systems-Laboratory/beluga-legacy	d14713d8211b64293c4427005cf02fbd58630598	[ "MIT" ]	1	2019-03-26T03:00:03.000Z	2019-03-26T03:00:03.000Z	beluga/continuation/ContinuationSolution.py	Rapid-Design-of-Systems-Laboratory/beluga-legacy	d14713d8211b64293c4427005cf02fbd58630598	[ "MIT" ]	null	null	null	beluga/continuation/ContinuationSolution.py	Rapid-Design-of-Systems-Laboratory/beluga-legacy	d14713d8211b64293c4427005cf02fbd58630598	[ "MIT" ]	1	2019-07-14T22:53:52.000Z	2019-07-14T22:53:52.000Z	class ContinuationSolution(list): pass	14.333333	33	0.767442	4	43	8.25	1	0	0	0	0	0	0	0	0	0	0	0.162791	43	2	34	21.5	0.916667	0	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	null	0	0	0	0	1	1	0	0	0	0	5
fd0da107a6990d875937e2736ae19585dfa93cb9	63	py	Python	mfgp/task1_new/utils/has_duplicates.py	kunalghosh/Multi_Fidelity_Prediction_GP	c858554f5c1f0c4aafa12cf7c441bd2d56b115f5	[ "BSD-3-Clause" ]	null	null	null	mfgp/task1_new/utils/has_duplicates.py	kunalghosh/Multi_Fidelity_Prediction_GP	c858554f5c1f0c4aafa12cf7c441bd2d56b115f5	[ "BSD-3-Clause" ]	3	2021-08-31T08:53:49.000Z	2021-10-05T15:10:42.000Z	mfgp/task1_new/utils/has_duplicates.py	kunalghosh/Multi_Fidelity_Prediction_GP	c858554f5c1f0c4aafa12cf7c441bd2d56b115f5	[ "BSD-3-Clause" ]	null	null	null	def has_duplicates(seq): return len(seq) != len(set(seq))	15.75	36	0.650794	10	63	4	0.7	0	0	0	0	0	0	0	0	0	0	0.174603	63	3	37	21	0.769231	0	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	null	0	0	0	1	0	0	0	1	1	0	5
fd3853969cfe50e2484f5c049ca9429633441f3e	492	py	Python	test_palindrome.py	zhonchik/python_examples	c9f54d27c4ae27d06630f679b7fef53bdf057bd9	[ "MIT" ]	null	null	null	test_palindrome.py	zhonchik/python_examples	c9f54d27c4ae27d06630f679b7fef53bdf057bd9	[ "MIT" ]	null	null	null	test_palindrome.py	zhonchik/python_examples	c9f54d27c4ae27d06630f679b7fef53bdf057bd9	[ "MIT" ]	null	null	null	from palindrome import is_palindrome def test_is_palindrome_1(): assert is_palindrome('a') def test_is_palindrome_2(): assert is_palindrome('aa') assert not is_palindrome('ab') def test_is_palindrome_3(): assert is_palindrome('aba') assert not is_palindrome('abc') def test_is_palindrome_4(): ...	19.68	37	0.731707	70	492	4.785714	0.314286	0.537313	0.134328	0.283582	0	0	0	0	0	0	0.012165	0.164634	492	24	38	20.5	0.80292	0	0	0	0	0.058943	0	0	0	0	0.6	1	0.333333	true	0	0.066667	0	0.4	0	0	0	0	null	1	0	1	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	5
fd56547ef7cecbb947c927c5d9b403eef818fcc1	190	py	Python	PIP/Class Program/ClassQuestion1.py	ankitrajbiswal/SEM_5	db716e242e77149a4091e0e564356ddc724aeff0	[ "Apache-2.0" ]	10	2021-04-24T11:46:48.000Z	2022-01-17T05:14:37.000Z	PIP/Class Program/ClassQuestion1.py	ankitrajbiswal/SEM_5	db716e242e77149a4091e0e564356ddc724aeff0	[ "Apache-2.0" ]	2	2021-06-28T11:51:50.000Z	2021-11-01T08:21:53.000Z	PIP/Class Program/ClassQuestion1.py	ankitrajbiswal/SEM_5	db716e242e77149a4091e0e564356ddc724aeff0	[ "Apache-2.0" ]	16	2021-04-24T11:46:58.000Z	2022-03-02T05:08:19.000Z	def rectangle(breadth,length): return breadthlength,2(length+breadth) x,y=rectangle(float(input("Enter breatdh ")),float(input("Enter length "))) print("Area ",x,"Perimeter ",y)	31.666667	76	0.694737	26	190	5.076923	0.576923	0.19697	0.227273	0	0	0	0	0	0	0	0.005952	0.115789	190	5	77	38	0.779762	0	0	0	0	0.228261	0	0	0	0	0	1	0.25	false	0	0	0.25	0.5	0.25	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	1	0	0	0	1	0	0	5
fd62496e51a3663de8de06bfd16ca4a16948e42a	132	py	Python	mmflow/__init__.py	gaotongxiao/mmflow	92f0fb951d0d5b3a1aa75f42c35f447803c31ded	[ "Apache-2.0" ]	1	2021-11-16T12:32:54.000Z	2021-11-16T12:32:54.000Z	mmflow/__init__.py	xiaokekeke/mmflow	c9ab798cec832d3472cbb06f04b2d64299802168	[ "Apache-2.0" ]	null	null	null	mmflow/__init__.py	xiaokekeke/mmflow	c9ab798cec832d3472cbb06f04b2d64299802168	[ "Apache-2.0" ]	1	2022-03-24T06:46:05.000Z	2022-03-24T06:46:05.000Z	from .version import __version__, parse_version_info, version_info __all__ = ['__version__', 'version_info', 'parse_version_info']	33	66	0.80303	16	132	5.5	0.375	0.5	0.363636	0	0	0	0	0	0	0	0	0.090909	132	3	67	44	0.733333	0	0	0	0	0.310606	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	null	0	0	0	0	0	0	1	0	0	0	5
b5f9174e540cdeb9dce27335725b85298ea4036b	211	py	Python	src/onapsdk/msb/k8s/__init__.py	krasm/python-onapsdk	87cd3017fc542a8afd3be51fbd89934ed87ed3a7	[ "Apache-2.0" ]	4	2020-06-13T04:51:27.000Z	2021-01-06T15:00:51.000Z	src/onapsdk/msb/k8s/__init__.py	krasm/python-onapsdk	87cd3017fc542a8afd3be51fbd89934ed87ed3a7	[ "Apache-2.0" ]	10	2021-09-20T15:42:47.000Z	2021-09-23T12:49:51.000Z	src/onapsdk/msb/k8s/__init__.py	krasm/python-onapsdk	87cd3017fc542a8afd3be51fbd89934ed87ed3a7	[ "Apache-2.0" ]	8	2020-08-28T10:56:02.000Z	2022-02-11T17:06:03.000Z	"""K8s package.""" from .definition import Definition, Profile, ConfigurationTemplate from .connectivity_info import ConnectivityInfo from .instance import InstantiationParameter, InstantiationRequest, Instance	42.2	76	0.848341	19	211	9.368421	0.684211	0	0	0	0	0	0	0	0	0	0.005181	0.085308	211	4	77	52.75	0.917098	0.056872	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	1	0	5
bd273ee2464d11dbcac02d0275e9db91e84c4141	16	py	Python	util/__init__.py	atlas-calo-ml/GraphNets4Pions_LLNL	fb25259124711526cc4110461f09db1d03a669f9	[ "Apache-2.0" ]	1	2021-11-02T00:40:19.000Z	2021-11-02T00:40:19.000Z	util/__init__.py	atlas-calo-ml/GraphNets4Pions_LLNL	fb25259124711526cc4110461f09db1d03a669f9	[ "Apache-2.0" ]	null	null	null	util/__init__.py	atlas-calo-ml/GraphNets4Pions_LLNL	fb25259124711526cc4110461f09db1d03a669f9	[ "Apache-2.0" ]	null	null	null	# i am an import	16	16	0.6875	4	16	2.75	1	0	0	0	0	0	0	0	0	0	0	0.25	16	1	16	16	0.916667	0.875	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	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
1faeffa5e6348cc8468a219d5a739a425edc8c65	28	py	Python	image_trasnformations/__init__.py	Mauricio-xxi/image_transformations	7474b9d475ca8547869c8c6687b3b4696d69906a	[ "MIT" ]	null	null	null	image_trasnformations/__init__.py	Mauricio-xxi/image_transformations	7474b9d475ca8547869c8c6687b3b4696d69906a	[ "MIT" ]	null	null	null	image_trasnformations/__init__.py	Mauricio-xxi/image_transformations	7474b9d475ca8547869c8c6687b3b4696d69906a	[ "MIT" ]	null	null	null	from hello import say_hello	14	27	0.857143	5	28	4.6	0.8	0	0	0	0	0	0	0	0	0	0	0.142857	28	1	28	28	0.958333	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
9531611c9d8eeddaa184669dc9aff0e5cac306a9	33	py	Python	efundsapi/views/__init__.py	code-scaffold/django	b149cbdee87adb7e45998d86d4caa986a784814d	[ "Apache-2.0" ]	1	2021-09-30T07:17:29.000Z	2021-09-30T07:17:29.000Z	efundsapi/views/__init__.py	code-scaffold/django	b149cbdee87adb7e45998d86d4caa986a784814d	[ "Apache-2.0" ]	null	null	null	efundsapi/views/__init__.py	code-scaffold/django	b149cbdee87adb7e45998d86d4caa986a784814d	[ "Apache-2.0" ]	null	null	null	from .demo import (DemoViewSet,)	16.5	32	0.757576	4	33	6.25	1	0	0	0	0	0	0	0	0	0	0	0.121212	33	1	33	33	0.862069	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	5
20f6f46d484d529155973c3619a40c35ca719418	239	py	Python	hypemaths/exceptions/exceptions.py	janaSunrise/HypeMaths	4a9afe1bb0c765e273fb3f1a54ab1d7489421db1	[ "MIT" ]	8	2020-12-25T07:02:07.000Z	2021-02-06T07:06:07.000Z	hypemaths/exceptions/exceptions.py	Deep-Alchemy/HypeMaths	4a9afe1bb0c765e273fb3f1a54ab1d7489421db1	[ "MIT" ]	2	2020-12-27T07:57:06.000Z	2021-03-10T14:44:23.000Z	hypemaths/exceptions/exceptions.py	Deep-Alchemy/HypeMaths	4a9afe1bb0c765e273fb3f1a54ab1d7489421db1	[ "MIT" ]	2	2020-12-27T02:25:43.000Z	2021-03-08T05:44:14.000Z	class InvalidMatrixError(Exception): pass class MatrixDimensionError(Exception): pass class MatrixNotSquare(Exception): pass class InvalidVectorError(Exception): pass class VectorDimensionError(Exception): pass	12.578947	38	0.757322	20	239	9.05	0.4	0.359116	0.39779	0	0	0	0	0	0	0	0	0.179916	239	18	39	13.277778	0.923469	0	0.5	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	5
1f793aceca8b4b35f9c37048849f73528c05496c	287	py	Python	part_2/week_14/bubbleSort.py	eduardovivi/Intro-to-Computer-Science-with-Python-Part-1-and-2-IME-USP-Coursera	af65ba8af0f07bcc36c4bc03ee23023b829966dc	[ "MIT" ]	16	2019-06-27T23:03:54.000Z	2022-03-05T00:22:37.000Z	part_2/week_14/bubbleSort.py	eduardovivi/Intro-to-Computer-Science-with-Python-Part-1-and-2-IME-USP-Coursera	af65ba8af0f07bcc36c4bc03ee23023b829966dc	[ "MIT" ]	null	null	null	part_2/week_14/bubbleSort.py	eduardovivi/Intro-to-Computer-Science-with-Python-Part-1-and-2-IME-USP-Coursera	af65ba8af0f07bcc36c4bc03ee23023b829966dc	[ "MIT" ]	16	2019-09-23T13:44:31.000Z	2021-11-16T17:20:37.000Z	def bubble_sort(lista): for passnum in range(len(lista)-1,0,-1): for i in range(passnum): if lista[i]>lista[i+1]: temp = lista[i] lista[i] = lista[i+1] lista[i+1] = temp print(lista) return lista	31.888889	44	0.470383	40	287	3.35	0.4	0.268657	0.246269	0.268657	0.19403	0	0	0	0	0	0.034884	0.400697	287	9	45	31.888889	0.744186	0	0	0	0	0	0	0	0	0	0	1	0.111111	false	0.222222	0	0	0.222222	0.111111	0	0	0	null	1	1	1	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	5
2f2b136607cee5292b7c5b41ab13d40f95f2f493	19	py	Python	main.py	suanyouyou/Hello-world	6447f05e8895f6b3fd2e03f28c1b62bbfe1518cc	[ "MIT" ]	null	null	null	main.py	suanyouyou/Hello-world	6447f05e8895f6b3fd2e03f28c1b62bbfe1518cc	[ "MIT" ]	null	null	null	main.py	suanyouyou/Hello-world	6447f05e8895f6b3fd2e03f28c1b62bbfe1518cc	[ "MIT" ]	null	null	null	print("your name")	9.5	18	0.684211	3	19	4.333333	1	0	0	0	0	0	0	0	0	0	0	0.105263	19	1	19	19	0.764706	0	0	0	0	0.473684	0	0	0	0	0	1	0	true	0	0	0	0	1	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	1	5
2f583336b166c3b17ea691c3a2a33e8cebb2bee7	194	py	Python	violation/fields/rule.py	adepeter/django-violations	92f6052a11594a66a7a963abb04cb17e00412bcc	[ "MIT" ]	1	2020-05-24T20:46:20.000Z	2020-05-24T20:46:20.000Z	violation/fields/rule.py	adepeter/django-violations	92f6052a11594a66a7a963abb04cb17e00412bcc	[ "MIT" ]	null	null	null	violation/fields/rule.py	adepeter/django-violations	92f6052a11594a66a7a963abb04cb17e00412bcc	[ "MIT" ]	null	null	null	from django import forms class RulesModelMultipleChoiceField(forms.ModelMultipleChoiceField): def label_from_instance(self, obj): return '%(rule_name)s' % {'rule_name': obj.name}	24.25	68	0.747423	22	194	6.409091	0.727273	0.113475	0	0	0	0	0	0	0	0	0	0.149485	194	7	69	27.714286	0.854545	0	0	0	0	0.113402	0	0	0	0	0	1	0.25	false	0	0.25	0.25	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	1	0	5
2f835ca18838a72a56575fc6f9415b160e090c5a	70	py	Python	ML/Pytorch/GANs/5. ProGAN/test.py	ZonePG/Machine-Learning-Collection	85f1e761fab85b61d4dbd44285d6483b75ba649c	[ "MIT" ]	9	2021-03-29T13:55:35.000Z	2021-12-24T11:45:39.000Z	ML/Pytorch/GANs/5. ProGAN/test.py	Mubasshir-Ali/Machine-Learning-Collection	ee0b0f0718fac7810bb660713618605c58eb282e	[ "MIT" ]	null	null	null	ML/Pytorch/GANs/5. ProGAN/test.py	Mubasshir-Ali/Machine-Learning-Collection	ee0b0f0718fac7810bb660713618605c58eb282e	[ "MIT" ]	3	2021-05-06T06:53:43.000Z	2021-12-04T13:09:13.000Z	def func(x=1, y=2, **kwargs): print(x, y) print(func(x=3, y=4))	11.666667	29	0.528571	16	70	2.3125	0.625	0.27027	0	0	0	0	0	0	0	0	0.071429	0.2	70	5	30	14	0.589286	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0	0.333333	0.666667	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	1	5
c81b1b749a6afa98fd2b62c243bf9f3e3d3bc3f0	55	py	Python	math/stochastic_modeling/program.py	spideynolove/Other-repo	34066f177994415d031183ab9dd219d787e6e13a	[ "MIT" ]	null	null	null	math/stochastic_modeling/program.py	spideynolove/Other-repo	34066f177994415d031183ab9dd219d787e6e13a	[ "MIT" ]	null	null	null	math/stochastic_modeling/program.py	spideynolove/Other-repo	34066f177994415d031183ab9dd219d787e6e13a	[ "MIT" ]	null	null	null	import numpy as np print("Hello stochastic_modeling!")	18.333333	35	0.8	8	55	5.375	1	0	0	0	0	0	0	0	0	0	0	0.109091	55	3	35	18.333333	0.877551	0	0	0	0	0.464286	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	null	0	0	0	0	1	0	1	0	0	1	5
c836f5c3e41f2f3150b831af630246de04b3803b	484	py	Python	ex009.py	vinisantos7/PythonExercicios	bc8f38e03a606d6b0216632a93affeab0792e534	[ "MIT" ]	2	2021-11-04T21:09:11.000Z	2021-11-08T09:42:10.000Z	ex009.py	vinisantos7/PythonExercicios	bc8f38e03a606d6b0216632a93affeab0792e534	[ "MIT" ]	null	null	null	ex009.py	vinisantos7/PythonExercicios	bc8f38e03a606d6b0216632a93affeab0792e534	[ "MIT" ]	null	null	null	print("Bem-Vindo a Tabuada v1.0!") num = (int(input("Digite um número para a tabuada: "))) print('-'12) print(f"{num} x {1:2} = {num 1}") print(f"{num} x {2:2} = {num * 2}") print(f"{num} x {3:2} = {num * 3}") print(f"{num} x {4:2} = {num * 4}") print(f"{num} x {5:2} = {num * 5}") print(f"{num} x {6:2} = {num * 6}...	26.888889	55	0.489669	100	484	2.37	0.27	0.253165	0.379747	0.421941	0	0	0	0	0	0	0.09596	0.181818	484	17	56	28.470588	0.502525	0	0	0	0	0.644628	0	0	0	0	0	1	0	false	0	0	0	0	0.928571	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	1	5
c8588ae903205a44df03000e2180c59ad6c22133	34	py	Python	src/jupyter_contrib_nbextensions/hello.py	satishv21/jupyter_contrib_nbextensions	22735bf4e6be6e59f551b542ec75f366133af6d6	[ "BSD-3-Clause-Clear" ]	null	null	null	src/jupyter_contrib_nbextensions/hello.py	satishv21/jupyter_contrib_nbextensions	22735bf4e6be6e59f551b542ec75f366133af6d6	[ "BSD-3-Clause-Clear" ]	null	null	null	src/jupyter_contrib_nbextensions/hello.py	satishv21/jupyter_contrib_nbextensions	22735bf4e6be6e59f551b542ec75f366133af6d6	[ "BSD-3-Clause-Clear" ]	null	null	null	def main(str): print("nonce")	11.333333	18	0.588235	5	34	4	1	0	0	0	0	0	0	0	0	0	0	0.205882	34	2	19	17	0.740741	0	0	0	0	0.147059	0	0	0	0	0	1	0.5	false	0	0	0	0.5	0.5	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	1	0	0	0	0	0	1	5
c07a8e800a976fd14cdab0b71abfc26f29e384ac	44	py	Python	tests/__init__.py	crashfrog/peewee-pymssql	23b5cdf4a9c3d13bec0663ccff3a2e8e1bf83b1c	[ "Unlicense" ]	null	null	null	tests/__init__.py	crashfrog/peewee-pymssql	23b5cdf4a9c3d13bec0663ccff3a2e8e1bf83b1c	[ "Unlicense" ]	null	null	null	tests/__init__.py	crashfrog/peewee-pymssql	23b5cdf4a9c3d13bec0663ccff3a2e8e1bf83b1c	[ "Unlicense" ]	null	null	null	"""Unit test package for peewee_pymssql."""	22	43	0.727273	6	44	5.166667	1	0	0	0	0	0	0	0	0	0	0	0.113636	44	1	44	44	0.794872	0.840909	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	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
c0e97b221652cd6c1ba631ac8b060e16f774978d	88	py	Python	dreamerv2/training/__init__.py	baecm/dreamerv2	80f7f124a3ef572ac3feb590d789852ed4d7d76f	[ "MIT" ]	null	null	null	dreamerv2/training/__init__.py	baecm/dreamerv2	80f7f124a3ef572ac3feb590d789852ed4d7d76f	[ "MIT" ]	null	null	null	dreamerv2/training/__init__.py	baecm/dreamerv2	80f7f124a3ef572ac3feb590d789852ed4d7d76f	[ "MIT" ]	null	null	null	from .trainer import Trainer from .config import Config from .evaluator import Evaluator	29.333333	32	0.840909	12	88	6.166667	0.416667	0	0	0	0	0	0	0	0	0	0	0.125	88	3	32	29.333333	0.961039	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	1	0	5
8d08246b7ef1b63961d5047cfb40819835e5ddbf	107	py	Python	src/model/__init__.py	LaikaIztech/ProjectLaikaServer	483d4ee43b6ca31ac07d4037f68e8394ad66119f	[ "MIT" ]	null	null	null	src/model/__init__.py	LaikaIztech/ProjectLaikaServer	483d4ee43b6ca31ac07d4037f68e8394ad66119f	[ "MIT" ]	null	null	null	src/model/__init__.py	LaikaIztech/ProjectLaikaServer	483d4ee43b6ca31ac07d4037f68e8394ad66119f	[ "MIT" ]	null	null	null	__all__ = ["create_positives", "create_positive_annotations", "create_negative_annotations", "train_ready"]	107	107	0.82243	11	107	7.090909	0.727273	0	0	0	0	0	0	0	0	0	0	0.046729	107	1	107	107	0.764706	0	0	0	0	0.75	0.5	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	1	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	5
8d09e4301864b924b4de01a025501d05b410b6ef	45	py	Python	tests/test-root/conf.py	kai687/sphinxawesome-sampdirective	d5955b823967db52747df3c329cec76592ec612b	[ "MIT" ]	1	2020-07-30T10:40:52.000Z	2020-07-30T10:40:52.000Z	tests/test-root/conf.py	kai687/sphinxawesome-sampdirective	d5955b823967db52747df3c329cec76592ec612b	[ "MIT" ]	79	2020-06-09T11:41:51.000Z	2022-03-27T08:18:57.000Z	tests/test-root/conf.py	kai687/sphinxawesome-sampdirective	d5955b823967db52747df3c329cec76592ec612b	[ "MIT" ]	null	null	null	"""Sphinx configuration file for testing."""	22.5	44	0.733333	5	45	6.6	1	0	0	0	0	0	0	0	0	0	0	0.111111	45	1	45	45	0.825	0.844444	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	1	0	0	0	null	0	0	0	0	1	0	0	0	0	0	5
23d7c93f118113c9fbe319e8035d5e344c3c1aa4	66	py	Python	src/allennlp/fortex/allennlp/__init__.py	Piyush13y/forte-wrappers	250df428a8705f769d53eb070f89c3f66e713015	[ "Apache-2.0" ]	3	2021-06-17T18:52:00.000Z	2022-01-11T19:15:21.000Z	src/allennlp/fortex/allennlp/__init__.py	Piyush13y/forte-wrappers	250df428a8705f769d53eb070f89c3f66e713015	[ "Apache-2.0" ]	66	2021-03-30T15:04:11.000Z	2022-03-24T04:35:11.000Z	src/allennlp/fortex/allennlp/__init__.py	Piyush13y/forte-wrappers	250df428a8705f769d53eb070f89c3f66e713015	[ "Apache-2.0" ]	10	2021-03-16T19:48:31.000Z	2022-03-01T05:48:17.000Z	from fortex.allennlp.allennlp_processors import AllenNLPProcessor	33	65	0.909091	7	66	8.428571	0.857143	0	0	0	0	0	0	0	0	0	0	0.060606	66	1	66	66	0.951613	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	1	0	5

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