Split (1)

train · 336k 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_prompt_comments_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_mean_word_length 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_8grams int64	qsc_code_frac_chars_dupe_9grams int64	qsc_code_frac_chars_dupe_10grams int64	qsc_code_frac_chars_digital int64	qsc_code_frac_chars_whitespace int64	qsc_code_num_lines int64	qsc_code_num_chars_line_max 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
0ec920cc247e6b14a55a0653f485463df509250d	260	py	Python	acrcloud/__init__.py	Cronuh/highlights-bot	0442cdf927cbebae6395f536b5529fe4c1948b99	[ "Apache-2.0" ]	null	null	null	acrcloud/__init__.py	Cronuh/highlights-bot	0442cdf927cbebae6395f536b5529fe4c1948b99	[ "Apache-2.0" ]	null	null	null	acrcloud/__init__.py	Cronuh/highlights-bot	0442cdf927cbebae6395f536b5529fe4c1948b99	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/python #-- coding: utf-8 -- import os,sys sys.path.append(os.path.split(os.path.realpath(__file__))[0])	37.142857	158	0.307692	20	260	3.8	0.75	0.157895	0	0	0	0	0	0	0	0	0.018349	0.580769	260	6	159	43.333333	0.678899	0.684615	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
0ecec63fc632dab1fe4fa0e6031ffa9e699a8441	50	py	Python	test.py	lipengyuan1994/Tensorflow-Developer	73aa3feb32513cd7c959575e0b08ad4384351941	[ "MIT" ]	5	2021-12-17T18:57:51.000Z	2022-03-21T06:15:46.000Z	test.py	lipengyuan1994/Tensorflow-Developer	73aa3feb32513cd7c959575e0b08ad4384351941	[ "MIT" ]	null	null	null	test.py	lipengyuan1994/Tensorflow-Developer	73aa3feb32513cd7c959575e0b08ad4384351941	[ "MIT" ]	2	2022-01-14T00:42:53.000Z	2022-02-05T15:35:53.000Z	import tensorflow as tf print(tf.__version__)	7.142857	23	0.76	7	50	4.857143	0.857143	0	0	0	0	0	0	0	0	0	0	0.18	50	6	24	8.333333	0.829268	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	5
0ee83b9e890a8d6dffd1620ecb9ba8b03a8c22b9	37	py	Python	1957.py	heltonricardo/URI	160cca22d94aa667177c9ebf2a1c9864c5e55b41	[ "MIT" ]	6	2021-04-13T00:33:43.000Z	2022-02-10T10:23:59.000Z	1957.py	heltonricardo/URI	160cca22d94aa667177c9ebf2a1c9864c5e55b41	[ "MIT" ]	null	null	null	1957.py	heltonricardo/URI	160cca22d94aa667177c9ebf2a1c9864c5e55b41	[ "MIT" ]	3	2021-03-23T18:42:24.000Z	2022-02-10T10:24:07.000Z	print(hex(int(input()))[2:].upper())	18.5	36	0.594595	6	37	3.666667	1	0	0	0	0	0	0	0	0	0	0.027778	0.027027	37	1	37	37	0.583333	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	5
1624eb6363b732cc7d8291a8f440da732d37e8eb	105	py	Python	test/myproject/regist/admin.py	d0r6y/CloudKloud	33747e208bd625a6c80bae0f87a0997181be4298	[ "MIT" ]	1	2021-01-23T11:21:30.000Z	2021-01-23T11:21:30.000Z	test/myproject/regist/admin.py	d0r6y/CloudKloud	33747e208bd625a6c80bae0f87a0997181be4298	[ "MIT" ]	null	null	null	test/myproject/regist/admin.py	d0r6y/CloudKloud	33747e208bd625a6c80bae0f87a0997181be4298	[ "MIT" ]	2	2020-12-18T17:56:58.000Z	2020-12-23T05:20:34.000Z	from django.contrib import admin from .models import accessKeyIDPW admin.site.register(accessKeyIDPW)	15	34	0.828571	13	105	6.692308	0.692308	0	0	0	0	0	0	0	0	0	0	0.114286	105	6	35	17.5	0.935484	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
1635a3ee5a741300c68d22b9f311a8c9e52a7e32	43,493	py	Python	app/apis/ga_uniparthenope/v1/ga_v1.py	uniparthenope/api-uniparthenope	ae959ccb5827e6ba7df6f195a6570347e39860c9	[ "Apache-2.0" ]	1	2020-09-11T08:29:55.000Z	2020-09-11T08:29:55.000Z	app/apis/ga_uniparthenope/v1/ga_v1.py	uniparthenope/api-uniparthenope	ae959ccb5827e6ba7df6f195a6570347e39860c9	[ "Apache-2.0" ]	3	2021-09-08T02:30:13.000Z	2022-03-12T00:48:19.000Z	app/apis/ga_uniparthenope/v1/ga_v1.py	uniparthenope/api-uniparthenope	ae959ccb5827e6ba7df6f195a6570347e39860c9	[ "Apache-2.0" ]	null	null	null	import json import sys import traceback import base64 import math import sqlalchemy from sqlalchemy import exc from app import api, db from flask_restplus import Resource, fields from datetime import datetime, timedelta from flask import g, request from app.apis.uniparthenope.v1.login_v1 import token_required_general...	41.900771	348	0.437036	3,770	43,493	4.91008	0.088594	0.016531	0.035006	0.042785	0.791367	0.773054	0.734158	0.703258	0.693209	0.663767	0.021348	0.448578	43,493	1,037	349	41.941176	0.75049	0.021176	0.746667	0	0.002424	0.130706	0.001224	0	0.000964	0	1	0.01697	false	0.008485	0.020606	0	0.124848	0.035152	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
16470b06d1f9df8217df9ec2f207d188d307efce	1,228	py	Python	DaNN/data_loader.py	sethGu/-	baf06b86bf450ae8d7dde8827d76502df3b537f7	[ "MIT" ]	1	2022-01-17T01:57:44.000Z	2022-01-17T01:57:44.000Z	DaNN/data_loader.py	sethGu/-	baf06b86bf450ae8d7dde8827d76502df3b537f7	[ "MIT" ]	null	null	null	DaNN/data_loader.py	sethGu/-	baf06b86bf450ae8d7dde8827d76502df3b537f7	[ "MIT" ]	null	null	null	import torchvision import torch from torchvision import datasets, transforms def load_data(root_dir, domain, batch_size): transform = transforms.Compose([ transforms.Grayscale(), transforms.Resize([28, 28]), transforms.ToTensor(), transforms.Normalize(mean=(0,), std=(1,)), ] ...	31.487179	119	0.600163	124	1,228	5.758065	0.33871	0.07563	0.072829	0.05042	0.770308	0.770308	0.770308	0.770308	0.770308	0.770308	0.016279	0.299674	1,228	38	120	32.315789	0.813953	0	0.529412	0	0	0	0	0	0	0	1	0.058824	false	0	0.088235	0	0.205882	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
16a41a3dbdd33170259ab32bc620be877527f690	18	py	Python	polite/_build.py	H0R5E/polite	bbbbf4fffbade585cb8b7114c4a8821e822c42e0	[ "MIT" ]	1	2020-05-03T21:10:33.000Z	2020-05-03T21:10:33.000Z	polite/_build.py	H0R5E/polite	bbbbf4fffbade585cb8b7114c4a8821e822c42e0	[ "MIT" ]	6	2017-06-12T13:50:09.000Z	2019-07-02T10:24:45.000Z	polite/_build.py	H0R5E/polite	bbbbf4fffbade585cb8b7114c4a8821e822c42e0	[ "MIT" ]	2	2017-06-12T12:40:03.000Z	2018-11-17T12:47:48.000Z	BUILD = "0.10.1-0"	18	18	0.555556	5	18	2	0.8	0	0	0	0	0	0	0	0	0	0.3125	0.111111	18	1	18	18	0.3125	0	0	0	0	0.421053	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	0	1	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
16cc3a851479318bdae810f123dad8c3d597e0e7	122	py	Python	learning_logs/admin.py	sam0jones0/learning_log_django	f6b9268c9ba25a6b2a7a9d9b62b2c6c48d7abdc8	[ "MIT" ]	null	null	null	learning_logs/admin.py	sam0jones0/learning_log_django	f6b9268c9ba25a6b2a7a9d9b62b2c6c48d7abdc8	[ "MIT" ]	null	null	null	learning_logs/admin.py	sam0jones0/learning_log_django	f6b9268c9ba25a6b2a7a9d9b62b2c6c48d7abdc8	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Topic, Entry admin.site.register(Topic) admin.site.register(Entry)	17.428571	32	0.803279	18	122	5.444444	0.555556	0.183673	0.346939	0	0	0	0	0	0	0	0	0.106557	122	6	33	20.333333	0.899083	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
bc40368ea5dd43430c8d879754897c34d3dc87ec	196	py	Python	moabb/pipelines/__init__.py	bibliolytic/moabb	46799bfd7957b1da3e7a0534286c1973af9c95d9	[ "BSD-3-Clause" ]	1	2018-11-17T03:03:09.000Z	2018-11-17T03:03:09.000Z	moabb/pipelines/__init__.py	bibliolytic/moabb	46799bfd7957b1da3e7a0534286c1973af9c95d9	[ "BSD-3-Clause" ]	null	null	null	moabb/pipelines/__init__.py	bibliolytic/moabb	46799bfd7957b1da3e7a0534286c1973af9c95d9	[ "BSD-3-Clause" ]	1	2021-12-23T23:09:49.000Z	2021-12-23T23:09:49.000Z	""" Pipeline defines all steps required by an algorithm to obtain predictions. Pipelines are typically a chain of sklearn compatible transformers and end with an sklearn compatible estimator. """	32.666667	74	0.811224	27	196	5.888889	0.888889	0.213836	0	0	0	0	0	0	0	0	0	0.147959	196	5	75	39.2	0.952096	0.954082	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
bc742a3988389eb3d6c1399116eaa21f8e254876	4,050	py	Python	cmd_make.py	bokveizen/baselines	79f5d18e2358567c72f422c5a23df78f9f64a55d	[ "MIT" ]	null	null	null	cmd_make.py	bokveizen/baselines	79f5d18e2358567c72f422c5a23df78f9f64a55d	[ "MIT" ]	null	null	null	cmd_make.py	bokveizen/baselines	79f5d18e2358567c72f422c5a23df78f9f64a55d	[ "MIT" ]	null	null	null	game_name = input("The name of the game:") num_timesteps = input("The num of timesteps:") total_gpu_num = 3 gpu_use_index = 0 print('conda activate openaivezen; cd baselines; ' + 'CUDA_VISIBLE_DEVICES={} '.format(gpu_use_index) + 'python -m baselines.run --alg=deepq ' + '--env={}NoFrameskip-v4 --num...	54	114	0.534815	420	4,050	4.730952	0.169048	0.102667	0.071968	0.102667	0.849522	0.800201	0.731253	0.731253	0.654253	0.654253	0.024569	0.326667	4,050	74	115	54.72973	0.70407	0.015062	0.641791	0	0	0.350978	0.203964	0	0	0	1	0	false	0	0	0	0	0.119403	0	0	0	null	0	0	0	1	1	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	5
bc99732726c63705a87941e41ecf0e499f5ebe40	460	py	Python	my_notes/ex127/sieve_module.py	ivalderrama/packt_python_workshop	48ba82eb9d16c59565a392d515b2cf1c9ec95058	[ "MIT" ]	null	null	null	my_notes/ex127/sieve_module.py	ivalderrama/packt_python_workshop	48ba82eb9d16c59565a392d515b2cf1c9ec95058	[ "MIT" ]	null	null	null	my_notes/ex127/sieve_module.py	ivalderrama/packt_python_workshop	48ba82eb9d16c59565a392d515b2cf1c9ec95058	[ "MIT" ]	null	null	null	class PrimesBelow: def __init__(self, bound): self.candidate_numbers = list(range(2,bound)) def __iter__(self): return self def __next__(self): if len(self.candidate_numbers) == 0: raise StopIteration next_prime = self.candidate_numbers...	27.058824	91	0.582609	53	460	4.679245	0.433962	0.262097	0.403226	0.169355	0	0	0	0	0	0	0.013158	0.33913	460	17	92	27.058824	0.802632	0	0	0	0	0	0	0	0	0	1	0.272727	false	0	0	0.090909	0.545455	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	1	0	5
bc9ed42df4991746e01103bc42be1244f0fd3d7d	80	py	Python	py/torch_tensorrt/_enums.py	svenchilton/Torch-TensorRT	95d2b6e003a0392fe08ce49520f015c230d4c750	[ "BSD-3-Clause" ]	430	2021-11-09T08:08:01.000Z	2022-03-31T10:13:45.000Z	py/torch_tensorrt/_enums.py	svenchilton/Torch-TensorRT	95d2b6e003a0392fe08ce49520f015c230d4c750	[ "BSD-3-Clause" ]	257	2021-11-09T07:17:03.000Z	2022-03-31T20:29:31.000Z	py/torch_tensorrt/_enums.py	svenchilton/Torch-TensorRT	95d2b6e003a0392fe08ce49520f015c230d4c750	[ "BSD-3-Clause" ]	68	2021-11-10T05:03:22.000Z	2022-03-22T17:07:32.000Z	from torch_tensorrt._C import dtype, DeviceType, EngineCapability, TensorFormat	40	79	0.8625	9	80	7.444444	1	0	0	0	0	0	0	0	0	0	0	0.0875	80	1	80	80	0.917808	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
bca22dcf1eb9dc3a86fdf28689e0121a1169fc33	15,833	py	Python	hvplot/tests/testcharts.py	toddrjen/hvplot	cccc1cebd496f542404cf89798970e655dcb5754	[ "BSD-3-Clause" ]	null	null	null	hvplot/tests/testcharts.py	toddrjen/hvplot	cccc1cebd496f542404cf89798970e655dcb5754	[ "BSD-3-Clause" ]	null	null	null	hvplot/tests/testcharts.py	toddrjen/hvplot	cccc1cebd496f542404cf89798970e655dcb5754	[ "BSD-3-Clause" ]	null	null	null	import numpy as np from unittest import SkipTest, expectedFailure from parameterized import parameterized from holoviews import NdOverlay, Store from holoviews.element import Curve, Area, Scatter, Points, Path, HeatMap from holoviews.element.comparison import ComparisonTestCase from ..util import is_dask class Tes...	47.833837	102	0.607655	2,158	15,833	4.291937	0.091752	0.034334	0.025265	0.047182	0.801123	0.785036	0.733967	0.711078	0.675124	0.632909	0.011923	0.210699	15,833	330	103	47.978788	0.729215	0.0012	0.4375	0	0	0.093048	0	0	0	0.205882	1	0.172794	false	0	0.055147	0	0.242647	0	0	0	0	null	0	0	0	1	1	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	5
bca71fc4cf96b873540d3a6b3e794bd9a42f4cc4	309	py	Python	tests/unit/test_seeds.py	joye1503/cocrawler	39b543320e91477412ab8bfc8402c88c3304c553	[ "Apache-2.0" ]	166	2016-07-18T19:37:34.000Z	2022-03-06T18:26:50.000Z	tests/unit/test_seeds.py	joye1503/cocrawler	39b543320e91477412ab8bfc8402c88c3304c553	[ "Apache-2.0" ]	9	2016-10-22T18:20:56.000Z	2021-04-06T05:28:04.000Z	tests/unit/test_seeds.py	joye1503/cocrawler	39b543320e91477412ab8bfc8402c88c3304c553	[ "Apache-2.0" ]	25	2017-02-28T19:41:41.000Z	2021-07-10T11:20:33.000Z	import cocrawler.seeds as seeds def test_special_seed_handling(): specialsh = seeds.special_seed_handling assert specialsh('foo') == 'http://foo' assert specialsh('//foo/') == 'http://foo/' assert specialsh('https://foo') == 'https://foo' #assert specialsh('mailto:foo') == 'mailto:foo'	30.9	52	0.66343	37	309	5.405405	0.405405	0.3	0.27	0.22	0.325	0.325	0.325	0	0	0	0	0.152104	309	9	53	34.333333	0.763359	0.148867	0	0	0	0.198473	0	0	0	0.5	1	0.166667	false	0	0.166667	0	0.333333	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	1	0	0	0	0	0	0	0	0	5
bcb40ee55b6617cf04b6c56cbba927ef32802dd1	340	py	Python	eventsourcing/infrastructure/popo/mapper.py	alexanderlarin/eventsourcing	6f2a4ded3c783ba3ee465243a48f66ecdee20f52	[ "BSD-3-Clause" ]	null	null	null	eventsourcing/infrastructure/popo/mapper.py	alexanderlarin/eventsourcing	6f2a4ded3c783ba3ee465243a48f66ecdee20f52	[ "BSD-3-Clause" ]	null	null	null	eventsourcing/infrastructure/popo/mapper.py	alexanderlarin/eventsourcing	6f2a4ded3c783ba3ee465243a48f66ecdee20f52	[ "BSD-3-Clause" ]	null	null	null	from eventsourcing.infrastructure.sequenceditemmapper import SequencedItemMapper class SequencedItemMapperForPopo(SequencedItemMapper): def get_event_class_and_attrs(self, topic, data): return topic, data def get_item_topic_and_state(self, domain_event_class, event_attrs): return domain_event...	34	80	0.811765	39	340	6.717949	0.487179	0.114504	0.122137	0.160305	0.198473	0	0	0	0	0	0	0.138235	340	9	81	37.777778	0.894198	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.166667	0.333333	1	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	5
bcbf89dd3a9e302a033fe47a0f5d47bf275dd4ab	399	py	Python	pyleecan/Methods/Slot/SlotW28/__init__.py	IrakozeFD/pyleecan	5a93bd98755d880176c1ce8ac90f36ca1b907055	[ "Apache-2.0" ]	95	2019-01-23T04:19:45.000Z	2022-03-17T18:22:10.000Z	pyleecan/Methods/Slot/SlotW28/__init__.py	IrakozeFD/pyleecan	5a93bd98755d880176c1ce8ac90f36ca1b907055	[ "Apache-2.0" ]	366	2019-02-20T07:15:08.000Z	2022-03-31T13:37:23.000Z	pyleecan/Methods/Slot/SlotW28/__init__.py	IrakozeFD/pyleecan	5a93bd98755d880176c1ce8ac90f36ca1b907055	[ "Apache-2.0" ]	74	2019-01-24T01:47:31.000Z	2022-02-25T05:44:42.000Z	# -- coding: utf-8 -- from ....Methods.Slot.Slot import SlotCheckError class S28_WCheckError(SlotCheckError): """ """ pass class S28_RboW0CheckError(SlotCheckError): """ """ pass class S28_R1W3CheckError(SlotCheckError): """ """ pass class S28_R1R1CheckError(SlotCheckError): """...	12.090909	48	0.626566	34	399	7.205882	0.470588	0.163265	0.37551	0.42449	0	0	0	0	0	0	0.051613	0.223058	399	32	49	12.46875	0.73871	0.052632	0.454545	0	0	0	0	0	0	0	1	0	true	0.454545	0.090909	0	0.545455	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	1	0	5
4c54e937bca7f79fb4da0ee880f05e1d391b45c4	25	py	Python	tests/syntax/async_def_missing_parens.py	matan-h/friendly	3ab0fc6541c837271e8865e247750007acdd18fb	[ "MIT" ]	287	2019-04-08T13:18:29.000Z	2021-03-14T19:10:21.000Z	tests/syntax/async_def_missing_parens.py	matan-h/friendly	3ab0fc6541c837271e8865e247750007acdd18fb	[ "MIT" ]	191	2019-04-08T14:39:18.000Z	2021-03-14T22:14:56.000Z	tests/syntax/async_def_missing_parens.py	matan-h/friendly	3ab0fc6541c837271e8865e247750007acdd18fb	[ "MIT" ]	9	2019-04-08T12:54:08.000Z	2020-11-20T02:26:27.000Z	async def name: pass	8.333333	15	0.64	4	25	4	1	0	0	0	0	0	0	0	0	0	0	0.32	25	2	16	12.5	0.941176	0	0	0	0	0	0	0	0	0	0	null	null	0.5	0	null	null	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	0	0	0	5
4c68ed31dbb4d53e9d6bc10771e583e6f947f50c	107	py	Python	unitorch/cli/datasets/__init__.py	fuliucansheng/UniTorch	47038321593ce4e7eabda555bd58c0cf89482146	[ "MIT" ]	2	2022-02-05T08:52:00.000Z	2022-03-27T07:01:34.000Z	unitorch/cli/datasets/__init__.py	Lixin-Qian/unitorch	47038321593ce4e7eabda555bd58c0cf89482146	[ "MIT" ]	null	null	null	unitorch/cli/datasets/__init__.py	Lixin-Qian/unitorch	47038321593ce4e7eabda555bd58c0cf89482146	[ "MIT" ]	1	2022-03-27T07:01:13.000Z	2022-03-27T07:01:13.000Z	# Copyright (c) FULIUCANSHENG. # Licensed under the MIT License. import unitorch.cli.datasets.huggingface	21.4	40	0.794393	13	107	6.538462	1	0	0	0	0	0	0	0	0	0	0	0.121495	107	4	41	26.75	0.904255	0.560748	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
d5b397ee3619fc1a34942ab12d0fe0bc44e014b2	2,363	py	Python	scripts/generate-images.py	getwarped/s2i-jupyter-stacks	5dd5250583101cd13551c4a5f82bd257e5247fc2	[ "BSD-2-Clause" ]	11	2016-11-22T04:11:58.000Z	2019-05-21T17:23:45.000Z	scripts/generate-images.py	getwarped/s2i-jupyter-stacks	5dd5250583101cd13551c4a5f82bd257e5247fc2	[ "BSD-2-Clause" ]	2	2016-11-01T04:07:49.000Z	2016-12-14T23:48:01.000Z	scripts/generate-images.py	getwarped/s2i-jupyter-stacks	5dd5250583101cd13551c4a5f82bd257e5247fc2	[ "BSD-2-Clause" ]	3	2016-11-24T08:02:19.000Z	2018-01-01T21:16:39.000Z	''' Generates the image stream resource definitions. ''' import powershift.resources as resources image_stream = resources.v1_ImageStream( metadata = resources.v1_ObjectMeta( name = 'jupyter-notebook', annotations = { 'openshift.io/display-name': 'Jupyter Notebook' } ), ...	31.506667	91	0.59543	234	2,363	5.935897	0.286325	0.071274	0.068395	0.083513	0.791217	0.791217	0.791217	0.756659	0.717783	0.560115	0.020906	0.271265	2,363	74	92	31.932432	0.785714	0.020313	0.421875	1	0	0.421509	0.104944	0	0	0	1	0	false	0	0.015625	0	0.015625	0	0	0	0	null	0	0	0	0	1	1	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	5
d5cdc1b3697ea07c37396fd433149768f1a6f400	237	py	Python	chexnet/scripts/load_dataset.py	tmarkmann/chexnet-tf2	c93cf47620a956a2ad25f952250ea0ecd7b90e4e	[ "MIT" ]	1	2021-12-15T16:54:59.000Z	2021-12-15T16:54:59.000Z	chexnet/scripts/load_dataset.py	tmarkmann/chexnet-tf2	c93cf47620a956a2ad25f952250ea0ecd7b90e4e	[ "MIT" ]	null	null	null	chexnet/scripts/load_dataset.py	tmarkmann/chexnet-tf2	c93cf47620a956a2ad25f952250ea0ecd7b90e4e	[ "MIT" ]	null	null	null	#!/usr/bin/env python3 from chexnet.dataloader.cxr14_dataset import CXR14Dataset from chexnet.configs.config import chexnet_config chexnet_config["dataset"]["download"] = True dataset = CXR14Dataset(chexnet_config) dataset.benchmark()	26.333333	57	0.818565	29	237	6.551724	0.551724	0.205263	0.210526	0	0	0	0	0	0	0	0.03211	0.080169	237	9	58	26.333333	0.83945	0.088608	0	0	0	0.069444	0	0	0	0	1	0	false	0	0.4	0	0.4	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	5
d5cef18b974096e29960fb203980cd731cc5bc33	38	py	Python	layers.py	nomoi/encoderdec	fd6c115c8ab6ea3c985f543ab723f1ffac8334a7	[ "MIT" ]	null	null	null	layers.py	nomoi/encoderdec	fd6c115c8ab6ea3c985f543ab723f1ffac8334a7	[ "MIT" ]	null	null	null	layers.py	nomoi/encoderdec	fd6c115c8ab6ea3c985f543ab723f1ffac8334a7	[ "MIT" ]	null	null	null	from GRU import GRU from FF import FF	12.666667	19	0.789474	8	38	3.75	0.5	0	0	0	0	0	0	0	0	0	0	0.210526	38	2	20	19	1	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
d5cf348d7c1cc538d7e6cf5dbe1ba65f5ed93ab8	163	py	Python	28_updating_list.py	onowdev/python-selflearning	3d7245de0207a5bfcbce4f7adde60e7316b70a8e	[ "MIT" ]	null	null	null	28_updating_list.py	onowdev/python-selflearning	3d7245de0207a5bfcbce4f7adde60e7316b70a8e	[ "MIT" ]	null	null	null	28_updating_list.py	onowdev/python-selflearning	3d7245de0207a5bfcbce4f7adde60e7316b70a8e	[ "MIT" ]	null	null	null	list1 = ['phisics','chemistry',1997,2000] print("Value available at index 2 is ", list1[2]) list1[2] = 2003 print("New Value available at index 2 is ", list1[2])	27.166667	53	0.687117	27	163	4.148148	0.518519	0.160714	0.285714	0.375	0.535714	0.535714	0.535714	0.535714	0	0	0.151079	0.147239	163	6	53	27.166667	0.654676	0	0	0	0	0.487805	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	5
d5d17141656ebbab637c1491e889ad1ac9a76434	344	py	Python	expects/matchers/built_in/equal_values.py	danibaena/expects	296203a3fb07cf3061b8f7b348136c9208195d93	[ "Apache-2.0" ]	null	null	null	expects/matchers/built_in/equal_values.py	danibaena/expects	296203a3fb07cf3061b8f7b348136c9208195d93	[ "Apache-2.0" ]	null	null	null	expects/matchers/built_in/equal_values.py	danibaena/expects	296203a3fb07cf3061b8f7b348136c9208195d93	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 - from .. import Matcher class equal_values(Matcher): def __init__(self, expected): self._expected = expected def _match(self, subject): return subject.__dict__ == self._expected.__dict__, [] def _match_negated(self, subject): return subject.__dict__ != self...	22.933333	62	0.659884	38	344	5.263158	0.473684	0.24	0.17	0.24	0.44	0.44	0.44	0.44	0	0	0.003704	0.215116	344	14	63	24.571429	0.737037	0.05814	0	0	0	0	0	0	0	0	1	0.375	false	0	0.125	0.25	0.875	0	0	0	0	null	1	0	1	0	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	5
d5d1a7dfc38e80ff7dd3a9ab115711c1234f7f3f	8,626	py	Python	src/genie/libs/parser/iosxe/tests/ShowSpanningTreeMstDetail/cli/equal/golden_output_1_expected.py	balmasea/genieparser	d1e71a96dfb081e0a8591707b9d4872decd5d9d3	[ "Apache-2.0" ]	204	2018-06-27T00:55:27.000Z	2022-03-06T21:12:18.000Z	src/genie/libs/parser/iosxe/tests/ShowSpanningTreeMstDetail/cli/equal/golden_output_1_expected.py	balmasea/genieparser	d1e71a96dfb081e0a8591707b9d4872decd5d9d3	[ "Apache-2.0" ]	468	2018-06-19T00:33:18.000Z	2022-03-31T23:23:35.000Z	src/genie/libs/parser/iosxe/tests/ShowSpanningTreeMstDetail/cli/equal/golden_output_1_expected.py	balmasea/genieparser	d1e71a96dfb081e0a8591707b9d4872decd5d9d3	[ "Apache-2.0" ]	309	2019-01-16T20:21:07.000Z	2022-03-30T12:56:41.000Z	expected_output = { 'mst_instances': { 6: { 'bridge_address': '5897.bdff.3b3a', 'bridge_priority': 20486, 'interfaces': { 'GigabitEthernet1/7': { 'cost': 20000, 'counters': { 'bpdu_received': ...	44.010204	66	0.415952	603	8,626	5.640133	0.124378	0.127021	0.047633	0.061747	0.89062	0.876507	0.855925	0.71479	0.649515	0.649515	0.127768	0.476467	8,626	195	67	44.235897	0.625332	0	0.6	0	0	0.391143	0.171111	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	0	0	1	1	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	5
d5f727f66f41e4ec4a3cd53c615f8811d300a0b1	338	py	Python	work_3_2.py	Ghost-Lonely-Wolf/work_2	62037de0753328b6770c1371a89c2fdd5e52fad7	[ "MIT" ]	null	null	null	work_3_2.py	Ghost-Lonely-Wolf/work_2	62037de0753328b6770c1371a89c2fdd5e52fad7	[ "MIT" ]	1	2021-02-23T13:39:09.000Z	2021-02-23T13:39:09.000Z	work_3_2.py	Ghost-Lonely-Wolf/work_2	62037de0753328b6770c1371a89c2fdd5e52fad7	[ "MIT" ]	null	null	null	def print_id(**kwarg): return ' '.join(kwarg.values()) print(print_id(name=input('Введите своё имя '), surname=input('Введите свою фамилию '), date=input('Введите свой год рождения '), city=input('Введите свой город проживания '), email=input('Введите свой email '), number=input('Введите свой н...	37.555556	50	0.680473	44	338	5.181818	0.590909	0.315789	0.280702	0	0	0	0	0	0	0	0	0.16568	338	9	50	37.555556	0.808511	0	0	0	0	0.418879	0	0	0	0	1	0.125	true	0	0	0.125	0.25	0.25	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	1	0	0	5
911f98d7ac788c63ef49a2beaae72a784bcc603b	139	py	Python	app/main/views.py	sd19surf/flask	3369b3bd74ea7e0489f3c3ba14482aaf89d33a88	[ "MIT" ]	null	null	null	app/main/views.py	sd19surf/flask	3369b3bd74ea7e0489f3c3ba14482aaf89d33a88	[ "MIT" ]	null	null	null	app/main/views.py	sd19surf/flask	3369b3bd74ea7e0489f3c3ba14482aaf89d33a88	[ "MIT" ]	null	null	null	from app.main import bp @bp.route('/') def index(): return 'Index Page' @bp.route('/hello') def hello(): return 'Hello World!'	11.583333	25	0.611511	20	139	4.25	0.6	0.164706	0	0	0	0	0	0	0	0	0	0.201439	139	11	26	12.636364	0.765766	0	0	0	0	0.208633	0	0	0	0	1	0.285714	true	0	0.142857	0.285714	0.714286	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	1	0	0	1	1	0	5
9136904bd45b58044ddc0ce28c4cc1d9a651a974	5,416	py	Python	tests/st/ops/gpu/test_in_top_k.py	PowerOlive/mindspore	bda20724a94113cedd12c3ed9083141012da1f15	[ "Apache-2.0" ]	3,200	2020-02-17T12:45:41.000Z	2022-03-31T20:21:16.000Z	tests/st/ops/gpu/test_in_top_k.py	zimo-geek/mindspore	665ec683d4af85c71b2a1f0d6829356f2bc0e1ff	[ "Apache-2.0" ]	176	2020-02-12T02:52:11.000Z	2022-03-28T22:15:55.000Z	tests/st/ops/gpu/test_in_top_k.py	zimo-geek/mindspore	665ec683d4af85c71b2a1f0d6829356f2bc0e1ff	[ "Apache-2.0" ]	621	2020-03-09T01:31:41.000Z	2022-03-30T03:43:19.000Z	# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...	38.411348	80	0.686115	799	5,416	4.44806	0.171464	0.042206	0.050647	0.055712	0.743106	0.742825	0.737198	0.737198	0.737198	0.720878	0.031962	0.173929	5,416	140	81	38.685714	0.762405	0.135709	0.623762	0	0	0.001287	0	0	0	0.108911	1	0.059406	false	0	0.059406	0.009901	0.138614	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
914810e35224b63ebbd87ba0efac18538ecf3849	19,408	py	Python	src/virtual-wan/azext_vwan/_help.py	peizhou298/azure-cli-extensions	66bf5a6c5bfb8e9ea6c91a189ea8aab10f2221e1	[ "MIT" ]	1	2020-09-16T03:47:44.000Z	2020-09-16T03:47:44.000Z	src/virtual-wan/azext_vwan/_help.py	peizhou298/azure-cli-extensions	66bf5a6c5bfb8e9ea6c91a189ea8aab10f2221e1	[ "MIT" ]	null	null	null	src/virtual-wan/azext_vwan/_help.py	peizhou298/azure-cli-extensions	66bf5a6c5bfb8e9ea6c91a189ea8aab10f2221e1	[ "MIT" ]	null	null	null	# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------...	36.897338	629	0.69528	2,528	19,408	5.336234	0.084256	0.072943	0.079466	0.114233	0.867532	0.811935	0.756857	0.670941	0.579096	0.48295	0.01166	0.186882	19,408	525	630	36.967619	0.843166	0.026329	0.494118	0	0.061176	0.910328	0.103284	0	0	0	1	0	true	0	0.002353	0	0.002353	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	null	0	0	0	1	0	0	0	0	0	5
914c659673a3113acb6c31534f5dccc393c3daf8	101	py	Python	Dictinary_Key_Values.py	mcjohnchristopher/Python_Samples	738f3b7d9baa7f4e396647f380118eba66ea645c	[ "CC0-1.0" ]	null	null	null	Dictinary_Key_Values.py	mcjohnchristopher/Python_Samples	738f3b7d9baa7f4e396647f380118eba66ea645c	[ "CC0-1.0" ]	null	null	null	Dictinary_Key_Values.py	mcjohnchristopher/Python_Samples	738f3b7d9baa7f4e396647f380118eba66ea645c	[ "CC0-1.0" ]	null	null	null	jj = ['john:' =1 , 'jemi' = 2 ] print list(jj) print jj.keys() print jj.values() print jj.items()	20.2	32	0.584158	17	101	3.470588	0.588235	0.355932	0	0	0	0	0	0	0	0	0.024691	0.19802	101	5	33	20.2	0.703704	0	0	0	0	0.091837	0	0	0	0	0	null	null	0	0	null	null	0.8	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	1	5
915412e70b5cc9fb9818bf8415d75163cb4e5ad6	44,240	py	Python	app/locustio/confluence/http_actions.py	AKStratus/dc-app-performance-toolkit	f2e264dd87969a075a69ebededea1c73dc3798d6	[ "Apache-2.0" ]	1	2021-05-27T09:58:38.000Z	2021-05-27T09:58:38.000Z	app/locustio/confluence/http_actions.py	AKStratus/dc-app-performance-toolkit	f2e264dd87969a075a69ebededea1c73dc3798d6	[ "Apache-2.0" ]	null	null	null	app/locustio/confluence/http_actions.py	AKStratus/dc-app-performance-toolkit	f2e264dd87969a075a69ebededea1c73dc3798d6	[ "Apache-2.0" ]	2	2021-05-26T13:43:15.000Z	2021-06-07T14:11:06.000Z	import random import re from locustio.common_utils import confluence_measure, fetch_by_re, timestamp_int, \ TEXT_HEADERS, NO_TOKEN_HEADERS, JSON_HEADERS, RESOURCE_HEADERS, generate_random_string, init_logger, \ raise_if_login_failed from locustio.confluence.requests_params import confluence_datasets, Login, Vi...	55.162095	120	0.632505	5,357	44,240	4.980213	0.069069	0.06432	0.084111	0.06983	0.801529	0.771281	0.72349	0.675138	0.646276	0.61168	0.012424	0.244937	44,240	801	121	55.230961	0.786253	0.002758	0.456338	1	0.033803	0.320647	0.186902	0	0	0.042254	1	0.029577	false	0.004225	0.008451	0	0.038028	0	0	0	0	null	0	0	0	1	1	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	5
e66c5716273a85df7096023d8efc1b11089b5f50	983	py	Python	OctaHomeSettings/urls.py	Tomcuzz/OctaHomeAutomation	4f0c5ea8b3d5b6e67633ae9c4cb95287d2784f5e	[ "MIT" ]	4	2016-08-14T22:07:03.000Z	2020-10-05T14:43:03.000Z	OctaHomeSettings/urls.py	Tomcuzz/OctaHomeAutomation	4f0c5ea8b3d5b6e67633ae9c4cb95287d2784f5e	[ "MIT" ]	null	null	null	OctaHomeSettings/urls.py	Tomcuzz/OctaHomeAutomation	4f0c5ea8b3d5b6e67633ae9c4cb95287d2784f5e	[ "MIT" ]	null	null	null	from django.conf.urls import url from views import * from settingviews import * urlpatterns = [ url(r'^command/(?P<command>\w+)/$', handleSettingsCommand.as_view(), name='SettingsCommand'), url(r'^command/(?P<command>\w+)/(?P<SettingsType>\w+)/(?P<SettingsId>\d+)/$', handleSettingsCommand.as_view(), name='SettingsCo...	54.611111	136	0.65412	132	983	4.80303	0.204545	0.056782	0.141956	0.309148	0.875394	0.818612	0.763407	0.515773	0.515773	0.515773	0	0.057986	983	17	137	57.823529	0.684665	0	0	0	0.214286	0.431333	0.312309	0	0	0	1	0	false	0	0.214286	0	0.214286	0	0	0	0	null	0	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	5
e6ba4ba31fc8869f32c22a6af59e1177decf42a9	25	py	Python	Learning-Kaggle/titanic.py	amitdev101/Tensorflow-keras-scripts	6b9bab3a994d8a12c5c8cfd7a1d491a523c8dece	[ "MIT" ]	null	null	null	Learning-Kaggle/titanic.py	amitdev101/Tensorflow-keras-scripts	6b9bab3a994d8a12c5c8cfd7a1d491a523c8dece	[ "MIT" ]	null	null	null	Learning-Kaggle/titanic.py	amitdev101/Tensorflow-keras-scripts	6b9bab3a994d8a12c5c8cfd7a1d491a523c8dece	[ "MIT" ]	null	null	null	# Nothing just a comment	12.5	24	0.76	4	25	4.75	1	0	0	0	0	0	0	0	0	0	0	0.2	25	1	25	25	0.95	0.88	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
e6ccd0a93f63589cad77791005b48cb2aefe6f9e	305	py	Python	7_kyu/Most_sales.py	UlrichBerntien/Codewars-Katas	bbd025e67aa352d313564d3862db19fffa39f552	[ "MIT" ]	null	null	null	7_kyu/Most_sales.py	UlrichBerntien/Codewars-Katas	bbd025e67aa352d313564d3862db19fffa39f552	[ "MIT" ]	null	null	null	7_kyu/Most_sales.py	UlrichBerntien/Codewars-Katas	bbd025e67aa352d313564d3862db19fffa39f552	[ "MIT" ]	null	null	null	def top3(products, amounts, prices): revenue_index_product = [ (amo*pri,-idx,pro) for (pro,amo,pri,idx) in zip(products,amounts,prices,range(len(prices))) ] revenue_index_product = sorted(revenue_index_product, reverse=True ) return [ pro for (rev,idx,pro) in revenue_index_product[0:3] ]	61	123	0.72459	46	305	4.630435	0.521739	0.225352	0.356808	0.234742	0	0	0	0	0	0	0.011407	0.137705	305	5	124	61	0.798479	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0	0	0.5	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	5
fc024c34fa601f203d99586f0f41a3408b2590c4	2,298	py	Python	deeptoolkit/core/functional.py	amogh7joshi/deeptoolkit	0eeade4cb62c4a0f15ab9c598cae94310015e9dc	[ "MIT" ]	1	2021-01-22T03:46:11.000Z	2021-01-22T03:46:11.000Z	deeptoolkit/core/functional.py	amogh7joshi/deeptoolkit	0eeade4cb62c4a0f15ab9c598cae94310015e9dc	[ "MIT" ]	null	null	null	deeptoolkit/core/functional.py	amogh7joshi/deeptoolkit	0eeade4cb62c4a0f15ab9c598cae94310015e9dc	[ "MIT" ]	null	null	null	#!/usr/bin/env python3 # -- coding = utf-8 -- import numpy as np import tensorflow as tf from tensorflow.keras import backend as K def binary_focal_loss(gt, pred, *, gamma = 2.0, alpha = 0.25): """Implementation of binary focal loss. This is the binary focal loss function from the paper on focal losses, `...	32.828571	80	0.636641	339	2,298	4.274336	0.241888	0.093168	0.027605	0.026915	0.770186	0.745342	0.745342	0.714976	0.714976	0.662526	0.032276	0.231506	2,298	69	81	33.304348	0.788222	0.536989	0.545455	0	0	0	0	0	0	0	1	0.090909	false	0	0.136364	0	0.318182	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
fc3dcf16262cbce42ba22c9a3488c63baa9b50d5	1,016	py	Python	ffbot/bot/BOT/models.py	hahatianx/ffbot	2770e85a35f30b35040a8d2be58bc76b332c5e62	[ "Apache-2.0" ]	5	2019-06-07T11:18:20.000Z	2019-10-26T13:40:20.000Z	ffbot/bot/BOT/models.py	hahatianx/ffbot	2770e85a35f30b35040a8d2be58bc76b332c5e62	[ "Apache-2.0" ]	5	2020-02-11T23:51:25.000Z	2021-06-10T21:14:57.000Z	ffbot/bot/BOT/models.py	hahatianx/ffbot	2770e85a35f30b35040a8d2be58bc76b332c5e62	[ "Apache-2.0" ]	null	null	null	from django.db import models # Create your models here. class Class(models.Model): name = models.CharField(max_length=15) def __str__(self): return self.name class NickClass(models.Model): nick_name = models.CharField(max_length=15) class_id = models.ForeignKey(Class, on_delete=models.CASC...	22.086957	77	0.699803	132	1,016	5.113636	0.287879	0.081481	0.140741	0.162963	0.700741	0.700741	0.700741	0.592593	0.471111	0.337778	0.015873	0.193898	1,016	45	78	22.577778	0.808303	0.023622	0.518519	0	0	0	0	0	0	0	1	0.185185	false	0	0.037037	0.185185	1	0	0	0	0	null	0	0	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	0	5
fc7f4cedf6a7cfb917321a8cc60f20a901a9afa9	49	py	Python	src/cli/__init__.py	xbeheydt/blenderenv	b232c01001a5cb1ee087d30d0ad5ca5d8c4c8320	[ "MIT" ]	null	null	null	src/cli/__init__.py	xbeheydt/blenderenv	b232c01001a5cb1ee087d30d0ad5ca5d8c4c8320	[ "MIT" ]	null	null	null	src/cli/__init__.py	xbeheydt/blenderenv	b232c01001a5cb1ee087d30d0ad5ca5d8c4c8320	[ "MIT" ]	null	null	null	""" Top-level for Cli entrypoint blenderenv. """	12.25	40	0.693878	6	49	5.666667	1	0	0	0	0	0	0	0	0	0	0	0.142857	49	3	41	16.333333	0.809524	0.816327	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
fca61fb6fff8dcfcdd282153b78943ce5b3c6275	110	py	Python	jady/__init__.py	yattdev/Jady	77c74fa4c5cf87cea92334eba1be24d93cbd2eea	[ "MIT" ]	null	null	null	jady/__init__.py	yattdev/Jady	77c74fa4c5cf87cea92334eba1be24d93cbd2eea	[ "MIT" ]	null	null	null	jady/__init__.py	yattdev/Jady	77c74fa4c5cf87cea92334eba1be24d93cbd2eea	[ "MIT" ]	null	null	null	#!/usr/bin/env python # -- coding: utf-8 -- import jady.modules import jady.actions import jady.nlg_server	15.714286	23	0.718182	17	110	4.588235	0.764706	0.384615	0	0	0	0	0	0	0	0	0.010417	0.127273	110	6	24	18.333333	0.802083	0.381818	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
5dc24b067cfec814a6a4785c700e5b4122eec2ce	953	py	Python	openapi-client/python/test/test_example_service_api.py	michilu/kintone-api	efa6c53d68140c449f4689baac824e2471155798	[ "Apache-2.0" ]	null	null	null	openapi-client/python/test/test_example_service_api.py	michilu/kintone-api	efa6c53d68140c449f4689baac824e2471155798	[ "Apache-2.0" ]	1	2020-07-15T09:50:06.000Z	2020-07-15T09:50:06.000Z	openapi-client/python/test/test_example_service_api.py	michilu/proto-openapi	aca02aaa11064e87462ab34674c0c4974cf70372	[ "Apache-2.0" ]	null	null	null	# coding: utf-8 """ An example of generating swagger via gRPC ecosystem. No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: 1.0 Contact: none@example.com Generated by: https://openapi-genera...	23.243902	124	0.725079	115	953	5.782609	0.521739	0.078195	0.051128	0.069173	0.099248	0.099248	0	0	0	0	0.015584	0.192025	953	40	125	23.825	0.848052	0.423924	0.142857	1	0	0.015717	0	0	0	0	1	0.214286	false	0.142857	0.357143	0	0.642857	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	1	0	1	1	0	1	0	5
f8fec34aeeaad8144c280c4c2b43fbb472099a81	3,112	py	Python	TEST3D/GUI/0010700_page_skelsel/tests.py	usnistgov/OOF3D	4fd423a48aea9c5dc207520f02de53ae184be74c	[ "X11" ]	31	2015-04-01T15:59:36.000Z	2022-03-18T20:21:47.000Z	TEST3D/GUI/0010700_page_skelsel/tests.py	usnistgov/OOF3D	4fd423a48aea9c5dc207520f02de53ae184be74c	[ "X11" ]	3	2015-02-06T19:30:24.000Z	2017-05-25T14:14:31.000Z	TEST3D/GUI/0010700_page_skelsel/tests.py	usnistgov/OOF3D	4fd423a48aea9c5dc207520f02de53ae184be74c	[ "X11" ]	7	2015-01-23T15:19:22.000Z	2021-06-09T09:03:59.000Z	# -- python -- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we as...	28.036036	73	0.544344	287	3,112	5.898955	0.28223	0.107501	0.181926	0.215003	0.711754	0.695216	0.695216	0.657413	0.657413	0.657413	0.034014	0.338689	3,112	110	74	28.290909	0.78863	0.136247	0.795699	0	0	0.321509	0.081031	0	0	0	1	0.075269	true	0	0.021505	0.075269	0.172043	0	0	0	0	null	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
5d1cc7ec06c6d88076b444bdfa474df0131393c5	76	py	Python	darkgeotile/__init__.py	dark-geo/darkGeoTile	7bd19c70334d1ad89c5fb83451677e5008360b93	[ "MIT" ]	null	null	null	darkgeotile/__init__.py	dark-geo/darkGeoTile	7bd19c70334d1ad89c5fb83451677e5008360b93	[ "MIT" ]	null	null	null	darkgeotile/__init__.py	dark-geo/darkGeoTile	7bd19c70334d1ad89c5fb83451677e5008360b93	[ "MIT" ]	null	null	null	from .darkgeotile import BaseTile, get_tile_class, DEFAULT_PROJECTIONS_BBOX	38	75	0.881579	10	76	6.3	1	0	0	0	0	0	0	0	0	0	0	0.078947	76	1	76	76	0.9	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
5d39a8fc6bb2d53c152edae366c52cde7832bcf4	3,357	py	Python	numba/cuda/tests/cudapy/test_warning.py	skailasa/numba	38ab89dd369a14b8826d3fa30d080aa083aed00b	[ "BSD-2-Clause", "BSD-3-Clause" ]	1	2021-11-02T18:55:23.000Z	2021-11-02T18:55:23.000Z	numba/cuda/tests/cudapy/test_warning.py	skailasa/numba	38ab89dd369a14b8826d3fa30d080aa083aed00b	[ "BSD-2-Clause", "BSD-3-Clause" ]	6	2018-08-06T15:29:52.000Z	2020-12-16T09:51:11.000Z	numba/cuda/tests/cudapy/test_warning.py	skailasa/numba	38ab89dd369a14b8826d3fa30d080aa083aed00b	[ "BSD-2-Clause", "BSD-3-Clause" ]	2	2018-04-14T00:28:12.000Z	2020-04-16T22:17:14.000Z	import numpy as np from numba import cuda from numba.cuda.testing import CUDATestCase, skip_on_cudasim from numba.tests.support import linux_only, override_config from numba.core.errors import NumbaPerformanceWarning import warnings @skip_on_cudasim('cudasim does not raise performance warnings') class TestWarnings(CU...	30.518182	66	0.597855	454	3,357	4.244493	0.187225	0.013492	0.039958	0.050856	0.773223	0.773223	0.750908	0.733264	0.702128	0.702128	0.028644	0.292821	3,357	109	67	30.798165	0.783067	0	0.686747	0	0	0.106047	0.054811	0	0	0.156627	1	0.168675	false	0.024096	0.072289	0	0.253012	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
5d672be29d06d0490d33622e01416d4f24028aa5	114	py	Python	src/site_checker/error.py	drednout/site_checker	8b52cd40087985a11435cad7836ed08a782c18c7	[ "BSD-2-Clause" ]	null	null	null	src/site_checker/error.py	drednout/site_checker	8b52cd40087985a11435cad7836ed08a782c18c7	[ "BSD-2-Clause" ]	null	null	null	src/site_checker/error.py	drednout/site_checker	8b52cd40087985a11435cad7836ed08a782c18c7	[ "BSD-2-Clause" ]	null	null	null	class BaseSiteCheckerException(Exception): pass class ErrorStopMsgLimit(BaseSiteCheckerException): pass	16.285714	50	0.807018	8	114	11.5	0.625	0	0	0	0	0	0	0	0	0	0	0.140351	114	6	51	19	0.938776	0	0.5	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	0	5
5d7505e725c755cdf7131a1960d4a024b282948b	22,662	py	Python	python3_cron_scripts/create_cert_graphs.py	adobe/Marinus	fd648002fe79c0fafba7f43a5c96f5090ad3dbfb	[ "Apache-2.0" ]	57	2019-01-16T22:40:58.000Z	2022-03-15T21:34:24.000Z	python3_cron_scripts/create_cert_graphs.py	adobe/Marinus	fd648002fe79c0fafba7f43a5c96f5090ad3dbfb	[ "Apache-2.0" ]	3	2019-03-08T16:41:48.000Z	2019-11-07T03:53:00.000Z	python3_cron_scripts/create_cert_graphs.py	adobe/Marinus	fd648002fe79c0fafba7f43a5c96f5090ad3dbfb	[ "Apache-2.0" ]	12	2019-01-17T20:06:46.000Z	2022-01-09T23:06:19.000Z	#!/usr/bin/python3 # Copyright 2019 Adobe. All rights reserved. # This file is licensed to you 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 requir...	53.957143	258	0.652237	2,706	22,662	5.228012	0.099409	0.06489	0.086096	0.103909	0.762282	0.745034	0.735562	0.719941	0.706369	0.692726	0.014452	0.209161	22,662	419	259	54.085919	0.774914	0.124129	0.425373	0	0.052239	0.354985	0.144225	0	0	0	1	0.037313	false	0.037313	0.033582	0	0.104478	0.119403	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
537812337573efe7472bdcf11359fb5d961385b7	901	py	Python	packages/pyright-internal/src/tests/samples/assertType1.py	Jasha10/pyright	0ce0cfa10fe7faa41071a2cc417bb449cf8276fe	[ "MIT" ]	3,934	2019-03-22T09:26:41.000Z	2019-05-06T21:03:08.000Z	packages/pyright-internal/src/tests/samples/assertType1.py	Jasha10/pyright	0ce0cfa10fe7faa41071a2cc417bb449cf8276fe	[ "MIT" ]	107	2019-03-24T04:09:37.000Z	2019-05-06T17:00:04.000Z	packages/pyright-internal/src/tests/samples/assertType1.py	Jasha10/pyright	0ce0cfa10fe7faa41071a2cc417bb449cf8276fe	[ "MIT" ]	119	2019-03-23T10:48:04.000Z	2019-05-06T08:57:56.000Z	# This sample tests the assert_type call. from typing import Any, Literal from typing_extensions import assert_type def func1(): # This should generate an error. assert_type() # This should generate an error. assert_type(1) # This should generate an error. assert_type(1, 2, 3) # This sh...	19.170213	41	0.650388	134	901	4.246269	0.223881	0.281195	0.316344	0.316344	0.650264	0.59051	0.59051	0.528998	0	0	0.013493	0.259711	901	46	42	19.586957	0.83958	0.389567	0.105263	1	0	0	0	0	0	0.789474	1	0.105263	false	0	0.105263	0	0.210526	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	1	0	0	0	0	0	0	0	0	5
53d63a04159e41b99272fcdd4b780bd78c26da4d	813	py	Python	mods-config/python/tests/user_pwd.py	enckse/freeradius	6574df4aa2819e3a2ff1a237cb9cdfb56c74f8d4	[ "MIT" ]	9	2019-08-19T16:13:12.000Z	2022-03-26T01:45:16.000Z	mods-config/python/tests/user_pwd.py	enckse/freeradius	6574df4aa2819e3a2ff1a237cb9cdfb56c74f8d4	[ "MIT" ]	26	2017-01-16T18:21:11.000Z	2018-01-10T15:04:44.000Z	mods-config/python/tests/user_pwd.py	enckse/freeradius	6574df4aa2819e3a2ff1a237cb9cdfb56c74f8d4	[ "MIT" ]	13	2019-03-12T01:03:09.000Z	2022-03-12T16:28:27.000Z	"""User password (padded)""" import users.__config__ as __config__ import users.common as common normal = __config__.Assignment() normal.macs = [common.VALID_MAC] normal.password = "73236255594031849679.2075683511536954196\|61898269231080222714.15134249551816100126\|5993584274528230152.113792398887207934" normal.vlan = "...	54.2	366	0.842558	82	813	8.146341	0.707317	0.032934	0	0	0	0	0	0	0	0	0.560311	0.051661	813	14	367	58.071429	0.306096	0.02706	0	0	0.083333	0.615287	0.596178	0	0	0	1	0	false	0.166667	0.166667	0	0.166667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	1	null	0	0	0	0	1	0	0	0	0	5
54cde77a8f6669005e7d149f4fd5fc48e10e3fb3	264	py	Python	aiogmaps/timezone.py	Ridecell/aiogmaps	7963d6790c2ca64f6896365580cffb96ca4bc4d2	[ "MIT" ]	14	2018-04-13T19:47:24.000Z	2021-12-18T11:09:31.000Z	aiogmaps/timezone.py	hzlmn/aiogmaps	2d5eaf3ec054962621a920208ec47ea68233cd72	[ "MIT" ]	13	2018-03-17T16:45:01.000Z	2020-11-30T16:16:10.000Z	aiogmaps/timezone.py	Ridecell/aiogmaps	7963d6790c2ca64f6896365580cffb96ca4bc4d2	[ "MIT" ]	6	2018-12-03T14:10:18.000Z	2019-07-02T13:16:25.000Z	from googlemaps.timezone import timezone as _timezone async def timezone(client, location, timestamp=None, language=None): return await _timezone(client, location, timestamp=timestamp, language=language)	33	68	0.643939	25	264	6.72	0.56	0.166667	0.261905	0.369048	0	0	0	0	0	0	0	0.295455	264	7	69	37.714286	0.903226	0	0	0	0	0	0	0	0	0	1	0	true	0	0.2	0	0.4	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
54d38f2f4082788f0e3fbfbf55a891ddc11e2959	116	py	Python	jobs/admin.py	pauljeffrey/portfolio	ff91ab2a6e30886f0a686aae56fe2df45e497fbd	[ "MIT" ]	3	2019-06-23T11:35:15.000Z	2022-03-28T15:39:23.000Z	jobs/admin.py	pauljeffrey/portfolio	ff91ab2a6e30886f0a686aae56fe2df45e497fbd	[ "MIT" ]	2	2019-01-30T21:00:41.000Z	2020-03-06T00:15:20.000Z	jobs/admin.py	pauljeffrey/portfolio	ff91ab2a6e30886f0a686aae56fe2df45e497fbd	[ "MIT" ]	3	2019-03-19T06:18:43.000Z	2021-06-23T16:30:51.000Z	from django.contrib import admin from .models import Jobs # Register your models here. admin.site.register(Jobs)	14.5	32	0.784483	17	116	5.352941	0.647059	0	0	0	0	0	0	0	0	0	0	0.146552	116	7	33	16.571429	0.919192	0.224138	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
0703f3c580d0b78c937919d5a1c90b45c8baf802	131	py	Python	compytest9/__init__.py	sh-s/compytest9	9b175be92328d7d35237c64c4c96769fd592b126	[ "MIT" ]	null	null	null	compytest9/__init__.py	sh-s/compytest9	9b175be92328d7d35237c64c4c96769fd592b126	[ "MIT" ]	null	null	null	compytest9/__init__.py	sh-s/compytest9	9b175be92328d7d35237c64c4c96769fd592b126	[ "MIT" ]	null	null	null	__version__ = "__version__ = '0.0.3'" from compytest9.discomfortmethod import * from compytest9.thermaldefinitions import *	21.833333	44	0.755725	13	131	7	0.615385	0.307692	0	0	0	0	0	0	0	0	0.045045	0.152672	131	5	45	26.2	0.774775	0	0	0	0	0.168	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
4aca22f4237e55bfc8c84f207ff7bc3d6f10fd0a	254	py	Python	python-worker/helpers/stereo_to_mono.py	Sergey-Baranenkov/audio_recognition_system	4472a76e495fe6a679ffbd4dd3706ce971540e79	[ "Apache-2.0" ]	null	null	null	python-worker/helpers/stereo_to_mono.py	Sergey-Baranenkov/audio_recognition_system	4472a76e495fe6a679ffbd4dd3706ce971540e79	[ "Apache-2.0" ]	null	null	null	python-worker/helpers/stereo_to_mono.py	Sergey-Baranenkov/audio_recognition_system	4472a76e495fe6a679ffbd4dd3706ce971540e79	[ "Apache-2.0" ]	null	null	null	# Трансформирует стерео звук в моно, вычисляя среднее между левым и правым каналом. dtype = int чтобы округлить до # нижнего уровня import numpy as np def stereo_to_mono(stereo: np.ndarray) -> np.ndarray: return np.mean(stereo, axis=1, dtype=int)	28.222222	114	0.755906	40	254	4.75	0.8	0.084211	0	0	0	0	0	0	0	0	0.004717	0.165354	254	8	115	31.75	0.891509	0.5	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	1	1	1	0	5
4acd54f6c052728f285c178854c0dc52c2b4a6bd	135	py	Python	decorrelator/__init__.py	philastrophist/decorrelator	261e9c4df83923d7141c7400d82633676441a9d7	[ "MIT" ]	null	null	null	decorrelator/__init__.py	philastrophist/decorrelator	261e9c4df83923d7141c7400d82633676441a9d7	[ "MIT" ]	null	null	null	decorrelator/__init__.py	philastrophist/decorrelator	261e9c4df83923d7141c7400d82633676441a9d7	[ "MIT" ]	null	null	null	import theano theano.config.compute_test_value = "ignore" from .correlation import CorrelationModel from .linear import LinearRelation	27	43	0.851852	16	135	7.0625	0.75	0	0	0	0	0	0	0	0	0	0	0.096296	135	5	44	27	0.92623	0	0	0	0	0.044118	0	0	0	0	1	0	true	0	0.75	0	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
4ae929802bb81b9e7ea184a563b178cf57695951	211	py	Python	zhiliao/blog/__init__.py	gladgod/zhiliao	573dfbe56734388c9657cb6749d267f4a8885d5b	[ "BSD-3-Clause" ]	null	null	null	zhiliao/blog/__init__.py	gladgod/zhiliao	573dfbe56734388c9657cb6749d267f4a8885d5b	[ "BSD-3-Clause" ]	null	null	null	zhiliao/blog/__init__.py	gladgod/zhiliao	573dfbe56734388c9657cb6749d267f4a8885d5b	[ "BSD-3-Clause" ]	null	null	null	""" Provides a blogging app with posts, keywords, categories and comments. Posts can be listed by month, keyword, category or author. """ from __future__ import unicode_literals from zhiliao import __version__	26.375	70	0.796209	29	211	5.482759	0.896552	0	0	0	0	0	0	0	0	0	0	0.146919	211	7	71	30.142857	0.883333	0.611374	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
ab3792a6d01b8b50479394fac02527e0425b4db4	11,133	py	Python	cloudroast/compute/integration/identity/test_authentication_required.py	ProjectMeniscus/cloudroast	b2e69c7f5657ee1f1cc7f03c8af18effb3c41cb6	[ "Apache-2.0" ]	null	null	null	cloudroast/compute/integration/identity/test_authentication_required.py	ProjectMeniscus/cloudroast	b2e69c7f5657ee1f1cc7f03c8af18effb3c41cb6	[ "Apache-2.0" ]	null	null	null	cloudroast/compute/integration/identity/test_authentication_required.py	ProjectMeniscus/cloudroast	b2e69c7f5657ee1f1cc7f03c8af18effb3c41cb6	[ "Apache-2.0" ]	1	2020-11-17T19:04:33.000Z	2020-11-17T19:04:33.000Z	""" Copyright 2013 Rackspace Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software dist...	40.930147	78	0.667834	1,303	11,133	5.403684	0.128933	0.044738	0.070445	0.083653	0.761682	0.748757	0.73001	0.717228	0.717228	0.705298	0.004931	0.234977	11,133	271	79	41.081181	0.821768	0.049313	0.523148	0	0	0.05607	0	0	0	0.148148	1	0.157407	false	0.009259	0.027778	0	0.194444	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
ab588b282b4a0d368e5d55f210d5b8892c9c8fba	2,573	py	Python	Project Code/Machine Learning/Unsupervised Learning/Handwriting Recognition using K-Means/script.py	BIGG000/Data-Science-Learning-Track	46df939699fd6b2c1ee3ce5d35c51a250faa1bce	[ "MIT" ]	2	2020-10-15T22:52:00.000Z	2020-11-22T16:13:20.000Z	Project Code/Machine Learning/Unsupervised Learning/Handwriting Recognition using K-Means/script.py	BIGG000/Data-Science-Learning-Track	46df939699fd6b2c1ee3ce5d35c51a250faa1bce	[ "MIT" ]	null	null	null	Project Code/Machine Learning/Unsupervised Learning/Handwriting Recognition using K-Means/script.py	BIGG000/Data-Science-Learning-Track	46df939699fd6b2c1ee3ce5d35c51a250faa1bce	[ "MIT" ]	null	null	null	import codecademylib3_seaborn import numpy as np from matplotlib import pyplot as plt from sklearn import datasets from sklearn.cluster import KMeans digits = datasets.load_digits() print(digits.target) plt.gray() plt.matshow(digits.images[100]) plt.show() print(digits.target[100]) model = KMeans(n_clusters = 10, r...	41.5	322	0.628449	722	2,573	2.209141	0.189751	0.253919	0.288401	0.398746	0.39373	0.282132	0.265204	0.258934	0.24953	0.240752	0.345957	0.086669	2,573	61	323	42.180328	0.332766	0.027206	0.041667	0	0	0.010004	0	0	0	0	1	0	false	0	0.104167	0	0.104167	0.270833	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
db4fa6f7212951644e183f3535825d7affafe9d5	128	py	Python	skillsapp/admin.py	valentine-ochieng/Skills-app	110f2b852a94d5bc990e5b0710de3783bef907b7	[ "MIT" ]	null	null	null	skillsapp/admin.py	valentine-ochieng/Skills-app	110f2b852a94d5bc990e5b0710de3783bef907b7	[ "MIT" ]	null	null	null	skillsapp/admin.py	valentine-ochieng/Skills-app	110f2b852a94d5bc990e5b0710de3783bef907b7	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Profile, Skills admin.site.register(Profile) admin.site.register(Skills)	18.285714	35	0.8125	18	128	5.777778	0.555556	0.173077	0.326923	0	0	0	0	0	0	0	0	0.101563	128	6	36	21.333333	0.904348	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
db5dc663a6b45fbab515001b05b294b12c238d91	66	py	Python	tests/fixtures/keepempty.py	joshuaroot/chaostoolkit-lib	d178b9877a57c07f1f622bfc3f2f58359ec6998a	[ "Apache-2.0" ]	73	2017-11-26T13:43:53.000Z	2022-02-25T02:52:54.000Z	tests/fixtures/keepempty.py	joshuaroot/chaostoolkit-lib	d178b9877a57c07f1f622bfc3f2f58359ec6998a	[ "Apache-2.0" ]	191	2017-10-09T14:33:12.000Z	2022-03-23T16:23:06.000Z	tests/fixtures/keepempty.py	joshuaroot/chaostoolkit-lib	d178b9877a57c07f1f622bfc3f2f58359ec6998a	[ "Apache-2.0" ]	48	2017-12-05T16:39:01.000Z	2022-02-14T12:01:30.000Z	# just keep this as-is def not_an_activity(): print("boom")	11	22	0.651515	11	66	3.727273	1	0	0	0	0	0	0	0	0	0	0	0.212121	66	5	23	13.2	0.788462	0.30303	0	0	0	0.090909	0	0	0	0	1	0.5	true	0	0	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	1	0	0	0	0	1	5
db63c758a5bebb555f96a2641cb9b2ffde722412	149	py	Python	tests/web_platform/CSS2/visuren/test_anonymous_boxes.py	jonboland/colosseum	cbf974be54fd7f6fddbe7285704cfaf7a866c5c5	[ "BSD-3-Clause" ]	71	2015-04-13T09:44:14.000Z	2019-03-24T01:03:02.000Z	tests/web_platform/CSS2/visuren/test_anonymous_boxes.py	jonboland/colosseum	cbf974be54fd7f6fddbe7285704cfaf7a866c5c5	[ "BSD-3-Clause" ]	35	2019-05-06T15:26:09.000Z	2022-03-28T06:30:33.000Z	tests/web_platform/CSS2/visuren/test_anonymous_boxes.py	jonboland/colosseum	cbf974be54fd7f6fddbe7285704cfaf7a866c5c5	[ "BSD-3-Clause" ]	139	2015-05-30T18:37:43.000Z	2019-03-27T17:14:05.000Z	from tests.utils import W3CTestCase class TestAnonymousBoxes(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'anonymous-boxes-'))	24.833333	71	0.791946	16	149	7.0625	0.8125	0	0	0	0	0	0	0	0	0	0.022222	0.09396	149	5	72	29.8	0.814815	0	0	0	0	0.107383	0	0	0	0	1	0	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
db80232b3d3da2eb40c9f193f7cece305c057cc4	211	py	Python	tests/test_relabel_map.py	godzilla-but-nicer/pid_plotter	e7c9ff386d3a5f95f0ffc5e2c4d0df3d5de64304	[ "BSD-3-Clause" ]	null	null	null	tests/test_relabel_map.py	godzilla-but-nicer/pid_plotter	e7c9ff386d3a5f95f0ffc5e2c4d0df3d5de64304	[ "BSD-3-Clause" ]	null	null	null	tests/test_relabel_map.py	godzilla-but-nicer/pid_plotter	e7c9ff386d3a5f95f0ffc5e2c4d0df3d5de64304	[ "BSD-3-Clause" ]	null	null	null	import pytest from pid_plotter.pid_plotter import pretty_labels_map test_label = '((2,), (1, 3))' test_map = {test_label: '{2}{13}'} def test_label_map(): assert pretty_labels_map([test_label]) == test_map	26.375	54	0.725118	34	211	4.117647	0.470588	0.257143	0.257143	0.271429	0.342857	0	0	0	0	0	0.032432	0.123223	211	8	54	26.375	0.724324	0	0	0	0	0.099057	0	0	0	0.166667	1	0.166667	false	0	0.333333	0	0.5	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	5
db95ba236c9588a0c1a512e1c14f760041ca653f	103	py	Python	app/tuples_ex.py	andykmiles/code-boutique	26d05202f832af163f2900c36237988f37ceea8a	[ "MIT" ]	null	null	null	app/tuples_ex.py	andykmiles/code-boutique	26d05202f832af163f2900c36237988f37ceea8a	[ "MIT" ]	null	null	null	app/tuples_ex.py	andykmiles/code-boutique	26d05202f832af163f2900c36237988f37ceea8a	[ "MIT" ]	null	null	null	def tupler(atuple): print(f"{atuple=}") return (1, 2, 3) print(f"{type(tupler((10, 11)))=}")	14.714286	35	0.543689	16	103	3.5	0.75	0.214286	0	0	0	0	0	0	0	0	0.083333	0.184466	103	6	36	17.166667	0.583333	0	0	0	0	0.330097	0	0	0	0	1	0.25	false	0	0	0	0.5	0.5	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	1	5
dba791a91d116fb852e6fbaca8c7c7812a1212a6	140	py	Python	Sets/Set .intersection() Operation.py	AbdallahHemdan/HackerRank-Python-Solutions	0e388b4f594a210426791246ca1278a6a872dd96	[ "MIT" ]	3	2020-01-03T11:39:24.000Z	2021-03-13T13:35:23.000Z	Sets/Set .intersection() Operation.py	AbdallahHemdan/HackerRank-Python-Solutions	0e388b4f594a210426791246ca1278a6a872dd96	[ "MIT" ]	null	null	null	Sets/Set .intersection() Operation.py	AbdallahHemdan/HackerRank-Python-Solutions	0e388b4f594a210426791246ca1278a6a872dd96	[ "MIT" ]	1	2018-10-20T09:36:06.000Z	2018-10-20T09:36:06.000Z	n1 = int (input()) s1 = set(map(int,input().split())) n2 = int (input()) s2 = set(map(int,input().split())) print(len(s1.intersection(s2)))	23.333333	34	0.614286	23	140	3.73913	0.521739	0.372093	0.209302	0.325581	0.44186	0	0	0	0	0	0.048	0.107143	140	5	35	28	0.64	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.2	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
dbae732d3c943359b44f25f2a87f5f6ae79e1210	139	py	Python	donordarah/admin.py	rafiatha09/berlapan	31fc032fbbab6d67b6c20db2eb5626d844e47ae0	[ "Unlicense" ]	null	null	null	donordarah/admin.py	rafiatha09/berlapan	31fc032fbbab6d67b6c20db2eb5626d844e47ae0	[ "Unlicense" ]	null	null	null	donordarah/admin.py	rafiatha09/berlapan	31fc032fbbab6d67b6c20db2eb5626d844e47ae0	[ "Unlicense" ]	null	null	null	from django.contrib import admin from .models import NamaLayanan, DonorForm admin.site.register(DonorForm) # Register your models here.	17.375	42	0.805755	18	139	6.222222	0.666667	0	0	0	0	0	0	0	0	0	0	0.129496	139	7	43	19.857143	0.92562	0.18705	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
dbcebf75db67705d58a51bc45490e830a80f87a0	154	py	Python	wsgi.py	fontoberta/taktaan	b5780b80b7bcc40064fb66ebb08366c9d4e4b86d	[ "MIT" ]	null	null	null	wsgi.py	fontoberta/taktaan	b5780b80b7bcc40064fb66ebb08366c9d4e4b86d	[ "MIT" ]	null	null	null	wsgi.py	fontoberta/taktaan	b5780b80b7bcc40064fb66ebb08366c9d4e4b86d	[ "MIT" ]	null	null	null	from application import create_app # pragma: no cover app = create_app() # pragma: no cover if __name__ == '__main__': # pragma: no cover app.run()	22	53	0.694805	22	154	4.409091	0.545455	0.247423	0.402062	0.350515	0.453608	0	0	0	0	0	0	0.194805	154	6	54	25.666667	0.782258	0.324675	0	0	0	0.08	0	0	0	0	1	0	false	0	0.25	0	0.25	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
9193e5661e51e4be0481961a73f5fbd0e194c9bc	2,583	py	Python	resources/gfx/QXImageDB.py	kitiv/DeepFaceLive	ca3a005917ae067576b795d8b9fef5a8b3483010	[ "MIT" ]	4	2021-07-23T16:34:24.000Z	2022-03-01T18:31:59.000Z	resources/gfx/QXImageDB.py	kitiv/DeepFaceLive	ca3a005917ae067576b795d8b9fef5a8b3483010	[ "MIT" ]	1	2022-02-08T01:29:03.000Z	2022-02-08T01:29:03.000Z	resources/gfx/QXImageDB.py	kitiv/DeepFaceLive	ca3a005917ae067576b795d8b9fef5a8b3483010	[ "MIT" ]	1	2021-09-06T15:05:28.000Z	2021-09-06T15:05:28.000Z	from pathlib import Path from PyQt6.QtCore import * from PyQt6.QtGui import * from xlib.qt.gui.from_file import QXImage_from_file class QXImageDB: cached = {} def _get(filename : str, color=None): if isinstance(color, QColor): key = (filename, color.getRgb() ) else: ...	50.647059	125	0.729772	346	2,583	5.234104	0.17341	0.173937	0.208724	0.215903	0.582551	0.503037	0.3545	0.140806	0.115958	0	0.000895	0.135114	2,583	50	126	51.66	0.809758	0	0	0	0	0.216415	0.124274	0	0	0	1	0.611111	false	0	0.111111	0.583333	0.805556	0	0	0	0	null	0	1	1	0	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	5
91c78bd05451248cbfad92bfecbd6a50ec18e975	214	py	Python	bjcpy/__init__.py	blackelbow/bjcpy	98d6d93c9160f2c52b0b4cbc15bf78fef4ebee96	[ "MIT" ]	null	null	null	bjcpy/__init__.py	blackelbow/bjcpy	98d6d93c9160f2c52b0b4cbc15bf78fef4ebee96	[ "MIT" ]	null	null	null	bjcpy/__init__.py	blackelbow/bjcpy	98d6d93c9160f2c52b0b4cbc15bf78fef4ebee96	[ "MIT" ]	1	2020-06-22T23:43:08.000Z	2020-06-22T23:43:08.000Z	from .all_styles import all_styles from .describe_style import describe_style from .find_style import find_style from .fits_style import fits_style from .is_style import is_style from .what_style import what_style	30.571429	42	0.859813	36	214	4.777778	0.277778	0.319767	0	0	0	0	0	0	0	0	0	0.11215	214	6	43	35.666667	0.905263	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
91d223c42d82c9c9c9be515d66e73645caaa8757	108	py	Python	app/requests.py	kmunge/blog	73d83b9c4cf9b8c7a1a631d63be77a00ea469f1f	[ "Unlicense" ]	null	null	null	app/requests.py	kmunge/blog	73d83b9c4cf9b8c7a1a631d63be77a00ea469f1f	[ "Unlicense" ]	1	2021-06-01T23:45:51.000Z	2021-06-01T23:45:51.000Z	app/requests.py	kmunge/blog	73d83b9c4cf9b8c7a1a631d63be77a00ea469f1f	[ "Unlicense" ]	null	null	null	from app import app import urllib.request,json from . import Post api_key = app.config['RANDOM_QUOTES_URL']	21.6	41	0.796296	18	108	4.611111	0.722222	0.216867	0	0	0	0	0	0	0	0	0	0.12037	108	5	41	21.6	0.873684	0	0	0	0	0.155963	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
37dfd80021ee1ce9384a23e47de626504b612acf	152	py	Python	learning_object/collections/manager/utils/__init__.py	dsvalenciah/ROAp	24cbff0e719c5009ec1f1e7190924d4d9297e992	[ "MIT" ]	4	2018-04-23T00:04:01.000Z	2018-10-28T22:56:51.000Z	learning_object/collections/manager/utils/__init__.py	dsvalenciah/ROAp	24cbff0e719c5009ec1f1e7190924d4d9297e992	[ "MIT" ]	23	2017-12-22T08:27:35.000Z	2021-12-13T19:57:35.000Z	learning_object/collections/manager/utils/__init__.py	dsvalenciah/ROAp	24cbff0e719c5009ec1f1e7190924d4d9297e992	[ "MIT" ]	1	2020-06-03T02:07:26.000Z	2020-06-03T02:07:26.000Z	from .auth import Authenticate from .i18n_error import ErrorTranslator from .req_to_dict import req_to_dict from .switch_language import SwitchLanguage	30.4	43	0.868421	22	152	5.727273	0.590909	0.079365	0.142857	0	0	0	0	0	0	0	0.014706	0.105263	152	4	44	38	0.911765	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
53033a0297e75fb7097c6e756bc332edba60f396	170	py	Python	shipmaster/server/asgi.py	damoti/shipmaster	cf596be7ea689c26c4bf47acb67dfd15169d3c46	[ "BSD-3-Clause" ]	8	2016-05-26T15:31:03.000Z	2019-12-26T13:19:08.000Z	shipmaster/server/asgi.py	damoti/shipmaster	cf596be7ea689c26c4bf47acb67dfd15169d3c46	[ "BSD-3-Clause" ]	3	2016-06-06T16:21:38.000Z	2018-01-04T15:50:27.000Z	shipmaster/server/asgi.py	damoti/shipmaster	cf596be7ea689c26c4bf47acb67dfd15169d3c46	[ "BSD-3-Clause" ]	1	2019-12-26T13:19:16.000Z	2019-12-26T13:19:16.000Z	import os from channels.asgi import get_channel_layer os.environ.setdefault("DJANGO_SETTINGS_MODULE", "shipmaster.server.settings") channel_layer = get_channel_layer()	24.285714	77	0.835294	23	170	5.869565	0.652174	0.266667	0.222222	0	0	0	0	0	0	0	0	0.076471	170	6	78	28.333333	0.859873	0	0	0	0	0.282353	0.282353	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	5
530da1a18557281d9b7aa91b02b69eaeba7d5ee5	22,460	py	Python	pyGoogleTranslate.py	Animenosekai/python-google-translate	15e4712aab73f9a397575acf8b18cab041ab3345	[ "MIT" ]	3	2020-09-11T16:43:11.000Z	2021-05-12T10:04:12.000Z	pyGoogleTranslate.py	Animenosekai/python-google-translate	15e4712aab73f9a397575acf8b18cab041ab3345	[ "MIT" ]	null	null	null	pyGoogleTranslate.py	Animenosekai/python-google-translate	15e4712aab73f9a397575acf8b18cab041ab3345	[ "MIT" ]	1	2021-05-10T01:49:19.000Z	2021-05-10T01:49:19.000Z	""" pyGoogleTranslate --> A Google Translate webpage parser for Python 3 ⚠️ Do not forget to set the used browser with browser()\n ⚠️ Do not forget to call browser_kill() after using pyGoogleTranslate (at the end of your script/when you stop your script)\n Without browser_kill(), your browser will stay opened until y...	65.672515	334	0.610329	2,618	22,460	5.079068	0.094729	0.066331	0.052944	0.051741	0.775513	0.75581	0.734602	0.727533	0.714597	0.702339	0.001699	0.26634	22,460	342	335	65.672515	0.804467	0.073998	0.64311	0	0.141343	0.36813	0.122225	0	0	0	1	0.028269	false	0	0.045936	0	0.130742	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
5326dfcb968424799e67cee9f18bfb8191331257	38	py	Python	python/testData/completion/mockPatchObject1Py2/a.after.py	jnthn/intellij-community	8fa7c8a3ace62400c838e0d5926a7be106aa8557	[ "Apache-2.0" ]	2	2019-04-28T07:48:50.000Z	2020-12-11T14:18:08.000Z	python/testData/completion/mockPatchObject1Py2/a.after.py	Cyril-lamirand/intellij-community	60ab6c61b82fc761dd68363eca7d9d69663cfa39	[ "Apache-2.0" ]	173	2018-07-05T13:59:39.000Z	2018-08-09T01:12:03.000Z	python/testData/completion/mockPatchObject1Py2/a.after.py	Cyril-lamirand/intellij-community	60ab6c61b82fc761dd68363eca7d9d69663cfa39	[ "Apache-2.0" ]	2	2020-03-15T08:57:37.000Z	2020-04-07T04:48:14.000Z	from mock import patch patch.object()	12.666667	22	0.789474	6	38	5	0.833333	0	0	0	0	0	0	0	0	0	0	0.131579	38	3	23	12.666667	0.909091	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
5361fcf22c6aa34afe9cb92d04a6986909eb2926	15,980	py	Python	ply-3.11/example/BASIC/parsetab.py	Francisco95/SimpleInterpreter	526150efc457680c9a4c50d8bdd2d5c6f8b04449	[ "MIT" ]	1	2019-05-28T17:59:09.000Z	2019-05-28T17:59:09.000Z	ply-3.11/example/BASIC/parsetab.py	Francisco95/SimpleInterpreter	526150efc457680c9a4c50d8bdd2d5c6f8b04449	[ "MIT" ]	null	null	null	ply-3.11/example/BASIC/parsetab.py	Francisco95/SimpleInterpreter	526150efc457680c9a4c50d8bdd2d5c6f8b04449	[ "MIT" ]	null	null	null	# parsetab.py # This file is automatically generated. Do not edit. # pylint: disable=W,C,R _tabversion = '3.10' _lr_method = 'LALR' _lr_signature = 'leftPLUSMINUSleftTIMESDIVIDEleftPOWERrightUMINUSCOMMA DATA DEF DIM DIVIDE END EQUALS FLOAT FOR GE GOSUB GOTO GT ID IF INTEGER LE LET LIST LPAREN LT MINUS NE NEW NEWLINE...	140.175439	5,541	0.64005	3,004	15,980	3.330559	0.121505	0.082959	0.014393	0.016792	0.415192	0.342329	0.281959	0.210295	0.15972	0.13913	0.256973	0.084606	15,980	113	5,542	141.415929	0.426989	0.005257	0.019417	1	0.009709	0.466994	0.016047	0	0	0	1	0	false	0	0	0	0	0.029126	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	1	1	1	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	5
5365a072e18ed354e58960a4be3116d1fba298bf	244	py	Python	tests/sample/my_plugin/__init__.py	ppwadhwa/npe2	a76c3d72fec5e6e0559a72fc3ab12bc20f19dfce	[ "BSD-3-Clause" ]	null	null	null	tests/sample/my_plugin/__init__.py	ppwadhwa/npe2	a76c3d72fec5e6e0559a72fc3ab12bc20f19dfce	[ "BSD-3-Clause" ]	null	null	null	tests/sample/my_plugin/__init__.py	ppwadhwa/npe2	a76c3d72fec5e6e0559a72fc3ab12bc20f19dfce	[ "BSD-3-Clause" ]	null	null	null	def activate(context): from npe2 import register_command @register_command("my_plugin.hello_world") def _hello(): ... register_command("my_plugin.another_command", lambda: print("yo!")) def get_reader(path): ...	18.769231	71	0.668033	29	244	5.310345	0.655172	0.292208	0.220779	0.298701	0	0	0	0	0	0	0.005102	0.196721	244	12	72	20.333333	0.780612	0	0.25	0	0	0.20082	0.188525	0	0	0	1	0.375	false	0	0.125	0	0.5	0.125	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	5
5367e39cb4f799f8d12894c25748568aaba9efa5	173	py	Python	allauth/socialaccount/providers/slack_provider/urls.py	Fuzzwah/django-allauth	071cbef1388bb61a563d3e41197bd5b7c26664d2	[ "MIT" ]	null	null	null	allauth/socialaccount/providers/slack_provider/urls.py	Fuzzwah/django-allauth	071cbef1388bb61a563d3e41197bd5b7c26664d2	[ "MIT" ]	null	null	null	allauth/socialaccount/providers/slack_provider/urls.py	Fuzzwah/django-allauth	071cbef1388bb61a563d3e41197bd5b7c26664d2	[ "MIT" ]	null	null	null	from allauth.socialaccount.providers.oauth2_provider.urls import default_urlpatterns from .provider import SlackProvider urlpatterns = default_urlpatterns(SlackProvider)	24.714286	84	0.872832	18	173	8.222222	0.611111	0.243243	0	0	0	0	0	0	0	0	0.006289	0.080925	173	6	85	28.833333	0.924528	0	0	0	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
727477a30db677b90e9d74b9ac4e31136b16cd71	90	py	Python	app.py	ej-projects/hello-world	b1c51520bc86262fd6f1b14b07b675e933feb08c	[ "Apache-2.0" ]	null	null	null	app.py	ej-projects/hello-world	b1c51520bc86262fd6f1b14b07b675e933feb08c	[ "Apache-2.0" ]	null	null	null	app.py	ej-projects/hello-world	b1c51520bc86262fd6f1b14b07b675e933feb08c	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/env python ''' This script prints Hello World! ''' print('Hello, World!')	12.857143	35	0.622222	12	90	4.666667	0.833333	0.357143	0	0	0	0	0	0	0	0	0	0.177778	90	6	36	15	0.756757	0.577778	0	0	0	0.5	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	5
729653f1448b5161579259c8ab83b2bfddab462f	802	py	Python	code/data/parser.py	jamie-mcg/MAML_Pytorch	68d16a592cbd62451df096a2dde3af7f157dda65	[ "MIT" ]	null	null	null	code/data/parser.py	jamie-mcg/MAML_Pytorch	68d16a592cbd62451df096a2dde3af7f157dda65	[ "MIT" ]	null	null	null	code/data/parser.py	jamie-mcg/MAML_Pytorch	68d16a592cbd62451df096a2dde3af7f157dda65	[ "MIT" ]	null	null	null	class Parser(): def __init__(self, config): self._config_args = config @property def experiment_args(self): return self._config_args["Experiment"] @property def train_dataset_args(self): return self._config_args["Dataset - metatrain"] @property def valid_dataset_ar...	26.733333	138	0.67581	98	802	5.183673	0.193878	0.173228	0.192913	0.212598	0.385827	0.385827	0.165354	0.165354	0	0	0	0.225686	802	30	138	26.733333	0.818035	0	0.26087	0	0	0.079701	0	0	0	0	1	0.347826	false	0	0	0.304348	0.695652	0	0	0	0	null	0	1	1	0	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	5
729998eb3ae82de92d58f44c72103edfdb2df933	29	py	Python	modules/polymer/__init__.py	firefly2442/aoc-2018	1d9721009a243941ae90d4efc83f2e3674e7c074	[ "MIT" ]	null	null	null	modules/polymer/__init__.py	firefly2442/aoc-2018	1d9721009a243941ae90d4efc83f2e3674e7c074	[ "MIT" ]	null	null	null	modules/polymer/__init__.py	firefly2442/aoc-2018	1d9721009a243941ae90d4efc83f2e3674e7c074	[ "MIT" ]	null	null	null	from .polymer import Polymer	14.5	28	0.827586	4	29	6	0.75	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.96	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
72a3a74ca7fe5be390111dc4ea19c02d2b1d8bbd	149	py	Python	src/app/beer_garden/api/http/authentication/login_handlers/__init__.py	ExpressHermes/beer-garden	2ea0944d7528a8127bc1b79d16d8fdc668f1c8e4	[ "MIT" ]	230	2018-02-03T01:33:45.000Z	2022-02-20T22:07:25.000Z	src/app/beer_garden/api/http/authentication/login_handlers/__init__.py	ExpressHermes/beer-garden	2ea0944d7528a8127bc1b79d16d8fdc668f1c8e4	[ "MIT" ]	961	2018-02-06T11:22:40.000Z	2022-03-24T15:22:33.000Z	src/app/beer_garden/api/http/authentication/login_handlers/__init__.py	ExpressHermes/beer-garden	2ea0944d7528a8127bc1b79d16d8fdc668f1c8e4	[ "MIT" ]	33	2018-02-04T18:00:07.000Z	2021-12-15T13:07:22.000Z	from .basic import BasicLoginHandler from .certificate import CertificateLoginHandler LOGIN_HANDLERS = [BasicLoginHandler, CertificateLoginHandler]	29.8	61	0.872483	12	149	10.75	0.666667	0	0	0	0	0	0	0	0	0	0	0.087248	149	4	62	37.25	0.948529	0	0	0	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
72ff4c9fbf211a1bd7b1b84fd77aa7377fc32807	1,551	py	Python	tests/test_guardduty/test_guardduty.py	gtourkas/moto	307104417b579d23d02f670ff55217a2d4a16bee	[ "Apache-2.0" ]	5,460	2015-01-01T01:11:17.000Z	2022-03-31T23:45:38.000Z	tests/test_guardduty/test_guardduty.py	gtourkas/moto	307104417b579d23d02f670ff55217a2d4a16bee	[ "Apache-2.0" ]	4,475	2015-01-05T19:37:30.000Z	2022-03-31T13:55:12.000Z	tests/test_guardduty/test_guardduty.py	gtourkas/moto	307104417b579d23d02f670ff55217a2d4a16bee	[ "Apache-2.0" ]	1,831	2015-01-14T00:00:44.000Z	2022-03-31T20:30:04.000Z	import boto3 import sure # noqa # pylint: disable=unused-import from moto import mock_guardduty @mock_guardduty def test_create_detector(): client = boto3.client("guardduty", region_name="us-east-1") response = client.create_detector( Enable=True, ClientToken="745645734574758463758", ...	29.826923	63	0.697614	170	1,551	6.194118	0.3	0.079772	0.060779	0.075973	0.811016	0.811016	0.721747	0.721747	0.721747	0.582146	0.043846	0.161831	1,551	51	64	30.411765	0.766154	0.022566	0.6	0	0	0.163252	0.027759	0	0	0	1	0.1	false	0	0.075	0	0.175	0	0	0	0	null	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
f41de910c38753dff54f0b88cf2a7c98eabf1465	80	py	Python	compas_fofin/ui/FoFin{617d828b-1f44-497a-bae8-552ccb6746b2}/dev/__plugin__.py	BlockResearchGroup/WS_structural-design	9a1222e728f5f2ea32d40624b61440fe97f1f9b8	[ "MIT" ]	1	2021-01-12T15:36:53.000Z	2021-01-12T15:36:53.000Z	compas_fofin/ui/FoFin{617d828b-1f44-497a-bae8-552ccb6746b2}/dev/__plugin__.py	compas-Workshops/WS_structural-design	9a1222e728f5f2ea32d40624b61440fe97f1f9b8	[ "MIT" ]	null	null	null	compas_fofin/ui/FoFin{617d828b-1f44-497a-bae8-552ccb6746b2}/dev/__plugin__.py	compas-Workshops/WS_structural-design	9a1222e728f5f2ea32d40624b61440fe97f1f9b8	[ "MIT" ]	2	2019-05-10T16:05:26.000Z	2019-06-11T16:24:48.000Z	id = "{617d828b-1f44-497a-bae8-552ccb6746b2}" version = "0.1.0" title = "FoFin"	20	45	0.675	12	80	4.5	0.916667	0	0	0	0	0	0	0	0	0	0.338028	0.1125	80	3	46	26.666667	0.422535	0	0	0	0	0.6	0.475	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	0	0	1	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	5
f4253ad4df7b05bda31c5631c01f5bef21ca8d1a	115	py	Python	backend/domain/core/engine.py	niklasschloegel/what-to-code	f28d18698ac91053fd1405a55461676a73b0b99a	[ "Apache-2.0" ]	21	2020-04-24T07:49:19.000Z	2022-01-25T14:17:48.000Z	backend/domain/core/engine.py	niklasschloegel/what-to-code	f28d18698ac91053fd1405a55461676a73b0b99a	[ "Apache-2.0" ]	9	2020-05-03T23:29:57.000Z	2022-02-17T20:48:22.000Z	backend/domain/core/engine.py	niklasschloegel/what-to-code	f28d18698ac91053fd1405a55461676a73b0b99a	[ "Apache-2.0" ]	1	2021-04-05T10:29:59.000Z	2021-04-05T10:29:59.000Z	from sqlalchemy import create_engine from constants import SQLALCHEMY_URL engine = create_engine(SQLALCHEMY_URL)	19.166667	38	0.86087	15	115	6.333333	0.466667	0.252632	0	0	0	0	0	0	0	0	0	0.113043	115	5	39	23	0.931373	0	0	0	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
f42aba864cba7b9355ee8f1ead59208ae778e89a	101	py	Python	inviwo/data/scripts/inviwoInfoScript.py	marcus1337/InviwoTemporalTreeMapsMOD	0d6a235ac2aa1d106de227b6d8513eb8fc91295e	[ "MIT" ]	null	null	null	inviwo/data/scripts/inviwoInfoScript.py	marcus1337/InviwoTemporalTreeMapsMOD	0d6a235ac2aa1d106de227b6d8513eb8fc91295e	[ "MIT" ]	null	null	null	inviwo/data/scripts/inviwoInfoScript.py	marcus1337/InviwoTemporalTreeMapsMOD	0d6a235ac2aa1d106de227b6d8513eb8fc91295e	[ "MIT" ]	null	null	null	#Inviwo Python script import inviwopy import inviwopy.qt help('inviwopy') help('inviwopy.qt')	14.428571	22	0.732673	13	101	5.692308	0.538462	0.378378	0	0	0	0	0	0	0	0	0	0.158416	101	7	23	14.428571	0.870588	0.19802	0	0	0	0.2375	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
f42dc9b304026606b5219155f259ab6d2c9eba72	417	py	Python	orbit/exceptions.py	goncaloperes/orbit	1d38fcab69ffa9b7ceb4fadfd26aa42d6f331c14	[ "Apache-2.0" ]	1	2021-11-26T00:34:08.000Z	2021-11-26T00:34:08.000Z	orbit/exceptions.py	ChakChak1234/orbit	b329326b8fd9382310645927846315714386de50	[ "Apache-2.0" ]	null	null	null	orbit/exceptions.py	ChakChak1234/orbit	b329326b8fd9382310645927846315714386de50	[ "Apache-2.0" ]	null	null	null	from __future__ import absolute_import class ForecasterException(Exception): pass class EstimatorException(Exception): pass class ModelException(Exception): pass class IllegalArgument(Exception): pass class PredictionException(Exception): pass class BacktestException(Exception): pass...	12.264706	41	0.760192	37	417	8.432432	0.405405	0.333333	0.403846	0	0	0	0	0	0	0	0	0.182254	417	33	42	12.636364	0.914956	0	0.470588	0	0	0	0	0	0	0	1	0	true	0.470588	0.058824	0	0.529412	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	1	0	5
f45c51452a795f1f9269fcb91a831d97bcf8e20a	122	py	Python	day06/python/jktubs/utils/__init__.py	jamhocken/aoc-2020	b1f9e04177afaf7e7c15fdc7bf7bc76f27a029f6	[ "MIT" ]	16	2020-11-21T16:11:07.000Z	2021-12-06T10:02:25.000Z	day06/python/jktubs/utils/__init__.py	jamhocken/aoc-2020	b1f9e04177afaf7e7c15fdc7bf7bc76f27a029f6	[ "MIT" ]	38	2020-11-26T05:53:35.000Z	2021-11-22T17:01:58.000Z	day06/python/jktubs/utils/__init__.py	jamhocken/aoc-2020	b1f9e04177afaf7e7c15fdc7bf7bc76f27a029f6	[ "MIT" ]	41	2020-11-21T16:11:10.000Z	2021-12-07T13:36:07.000Z	#https://realpython.com/python-modules-packages/ print(f'Invoking __init__.py for {__name__}') from utils.helper import *	30.5	48	0.778689	17	122	5.117647	1	0	0	0	0	0	0	0	0	0	0	0.07377	122	4	49	30.5	0.769912	0.385246	0	0	0	0.466667	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	5
be353f29567e8fcd39ca884e53cbd5152090ac62	46	py	Python	management/models/__init__.py	codertimeless/StudentAssociation	3f6caf2b362623d4f8cf82bab9529951a375fe6a	[ "Apache-2.0" ]	null	null	null	management/models/__init__.py	codertimeless/StudentAssociation	3f6caf2b362623d4f8cf82bab9529951a375fe6a	[ "Apache-2.0" ]	15	2020-03-09T11:56:13.000Z	2022-02-10T15:03:01.000Z	management/models/__init__.py	codertimeless/StudentAssociation	3f6caf2b362623d4f8cf82bab9529951a375fe6a	[ "Apache-2.0" ]	null	null	null	from .club import Club from .unit import Unit	15.333333	22	0.782609	8	46	4.5	0.5	0	0	0	0	0	0	0	0	0	0	0.173913	46	2	23	23	0.947368	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
be3c5640c355a22baa418702c757e9e766adbf21	71	py	Python	insta.py	shubhamg0sai/hack-wifi	bb200d57b102f93bd0a64558086ed99949920a35	[ "MIT" ]	13	2022-01-09T10:20:03.000Z	2022-03-08T07:17:44.000Z	insta.py	shubhamg0sai/hack-wifi	bb200d57b102f93bd0a64558086ed99949920a35	[ "MIT" ]	1	2022-01-03T17:42:21.000Z	2022-01-09T17:46:10.000Z	insta.py	shubhamg0sai/hack-wifi	bb200d57b102f93bd0a64558086ed99949920a35	[ "MIT" ]	null	null	null	import os os.system('xdg-open https://www.instagram.com/shubhamg0sai')	23.666667	60	0.774648	11	71	5	0.909091	0	0	0	0	0	0	0	0	0	0.014925	0.056338	71	2	61	35.5	0.80597	0	0	0	0	0.661972	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	1	0	1	0	0	0	5
be63f8dcd853224ad60c9889e2bd2733658dc453	130	py	Python	secrethitler/votes.py	colorfuldisaster/adolf-scriptler	68b006e264e5d6f173f8a6b97b460fc43209d2ed	[ "MIT" ]	null	null	null	secrethitler/votes.py	colorfuldisaster/adolf-scriptler	68b006e264e5d6f173f8a6b97b460fc43209d2ed	[ "MIT" ]	null	null	null	secrethitler/votes.py	colorfuldisaster/adolf-scriptler	68b006e264e5d6f173f8a6b97b460fc43209d2ed	[ "MIT" ]	null	null	null	from .singleton import * class Vote(object, metaclass=Singleton): pass class Ja(Vote): pass class Nein(Vote): pass	11.818182	40	0.676923	17	130	5.176471	0.588235	0.204545	0	0	0	0	0	0	0	0	0	0.223077	130	10	41	13	0.871287	0	0.428571	0	0	0	0	0	0	0	1	0	true	0.428571	0.142857	0	0.571429	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	1	0	5
be8fab382f9c9cb6044316d06439bfe22420d6c3	79	py	Python	playground_metrics/metrics_helper/__init__.py	ClementMaliet/playground-metrics	7a0607c14a830818f9450d2febd8ae5e1709f8cf	[ "MIT" ]	2	2020-11-25T13:33:19.000Z	2021-04-16T08:14:16.000Z	playground_metrics/metrics_helper/__init__.py	ClementMaliet/playground-metrics	7a0607c14a830818f9450d2febd8ae5e1709f8cf	[ "MIT" ]	1	2021-03-01T13:35:16.000Z	2021-03-01T15:38:04.000Z	playground_metrics/metrics_helper/__init__.py	ClementMaliet/playground-metrics	7a0607c14a830818f9450d2febd8ae5e1709f8cf	[ "MIT" ]	4	2021-01-14T13:00:49.000Z	2022-03-09T04:00:55.000Z	from playground_metrics.metrics_helper.mean_fbeta import MeanFBetaAtThresholds	39.5	78	0.924051	9	79	7.777778	0.888889	0	0	0	0	0	0	0	0	0	0	0.050633	79	1	79	79	0.933333	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
bec91f1a326f8b008dcf09f09dba24f3c19c6113	213	py	Python	smart_selects/encoders.py	SelfHacked/django-smart-selects	02b75d5eddb6b955a1c818edc98d58ead634883d	[ "BSD-3-Clause" ]	null	null	null	smart_selects/encoders.py	SelfHacked/django-smart-selects	02b75d5eddb6b955a1c818edc98d58ead634883d	[ "BSD-3-Clause" ]	null	null	null	smart_selects/encoders.py	SelfHacked/django-smart-selects	02b75d5eddb6b955a1c818edc98d58ead634883d	[ "BSD-3-Clause" ]	1	2021-07-26T14:37:19.000Z	2021-07-26T14:37:19.000Z	import json from uuid import UUID class UUIDEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, UUID): return obj.hex return json.JSONEncoder.default(self, obj)	21.3	50	0.666667	27	213	5.259259	0.555556	0.211268	0.197183	0	0	0	0	0	0	0	0	0.248826	213	9	51	23.666667	0.8875	0	0	0	0	0	0	0	0	0	1	0.142857	false	0	0.285714	0	0.857143	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	5
fe37fb4687fa7351fefef95e5e504e6b76ba3ca4	174	py	Python	src/fidesops/util/querytoken.py	eastandwestwind/fidesops	93e2881c0fdc30075b7cc22024965d18cec0bdea	[ "Apache-2.0" ]	41	2021-11-01T23:53:43.000Z	2022-03-22T23:07:56.000Z	src/fidesops/util/querytoken.py	eastandwestwind/fidesops	93e2881c0fdc30075b7cc22024965d18cec0bdea	[ "Apache-2.0" ]	235	2021-11-01T20:31:55.000Z	2022-03-31T15:40:58.000Z	src/fidesops/util/querytoken.py	eastandwestwind/fidesops	93e2881c0fdc30075b7cc22024965d18cec0bdea	[ "Apache-2.0" ]	12	2021-11-02T00:44:51.000Z	2022-03-14T16:23:10.000Z	class QueryToken: """A placeholder token for dry-run query output""" def __str__(self) -> str: return "?" def __repr__(self) -> str: return "?"	19.333333	54	0.568966	20	174	4.55	0.75	0.153846	0.285714	0	0	0	0	0	0	0	0	0.293103	174	8	55	21.75	0.739837	0.252874	0.4	0	0	0.016129	0	0	0	0	1	0.4	false	0	0	0.4	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	5
fe853513ed593eba8f0f7f139e34286ed5a2855a	44	py	Python	code/abc020_a_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	3	2019-08-16T16:55:48.000Z	2021-04-11T10:21:40.000Z	code/abc020_a_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	null	null	null	code/abc020_a_01.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	null	null	null	print("ABC" if input()=="1" else "chokudai")	44	44	0.636364	7	44	4	1	0	0	0	0	0	0	0	0	0	0.025	0.090909	44	1	44	44	0.675	0	0	0	0	0.266667	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	5
fe8a2ac65c7357e01346fd72e654d162fcd300f6	283	py	Python	melange/settings.py	mangeld/melange	1650268b312f3fea7b26afa2fc8ea4f8dd3948e3	[ "MIT" ]	null	null	null	melange/settings.py	mangeld/melange	1650268b312f3fea7b26afa2fc8ea4f8dd3948e3	[ "MIT" ]	null	null	null	melange/settings.py	mangeld/melange	1650268b312f3fea7b26afa2fc8ea4f8dd3948e3	[ "MIT" ]	null	null	null	import os CACHE_REDIS_HOST = os.environ.get('CACHE_REDIS_HOST') CACHE_REDIS_PORT = os.environ.get('CACHE_REDIS_PORT') CACHE_REDIS_DB = os.environ.get('CACHE_REDIS_DB') CACHE_REDIS_PASSWORD = os.environ.get('CACHE_REDIS_PASSWORD') CACHE_NAMESPACE = os.environ.get('CACHE_NAMESPACE')	35.375	61	0.812721	45	283	4.711111	0.244444	0.377358	0.283019	0.400943	0.415094	0	0	0	0	0	0	0.063604	283	7	62	40.428571	0.8	0	0	0	0	0.286219	0	0	0	0	1	0	false	0.166667	0.166667	0	0.166667	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	5
fea05da1f25682fe21c4867b4276de0ef7309b6f	177	py	Python	doc/examples/input_files/__init__.py	BYUFLOWLab/WakeExchange	5fff32e38723039fe38b0cce0b4560df813de63e	[ "Apache-2.0" ]	4	2017-01-24T17:56:29.000Z	2019-02-26T02:01:51.000Z	doc/examples/input_files/__init__.py	BYUFLOWLab/WakeExchange	5fff32e38723039fe38b0cce0b4560df813de63e	[ "Apache-2.0" ]	4	2018-09-24T14:11:01.000Z	2019-03-07T14:51:31.000Z	doc/examples/input_files/__init__.py	BYUFLOWLab/WakeExchange	5fff32e38723039fe38b0cce0b4560df813de63e	[ "Apache-2.0" ]	3	2019-06-25T16:46:28.000Z	2020-02-23T10:04:50.000Z	from csystem import DirectionVector from utilities import cosd, sind, tand from SegIntersect import SegIntersect, CalcDist from Material import Material from Tube import Tube	22.125	47	0.841808	23	177	6.478261	0.521739	0	0	0	0	0	0	0	0	0	0	0.141243	177	7	48	25.285714	0.980263	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
fea9d00eed7c865e0b35613f4a61613a8e3f6d96	40	py	Python	test.py	avihu111/viewpoint_disentanglement	07aa4e119426a500fb1e5b5929909cd791982f27	[ "MIT" ]	1	2021-11-06T06:26:27.000Z	2021-11-06T06:26:27.000Z	test.py	avihu111/viewpoint_disentanglement	07aa4e119426a500fb1e5b5929909cd791982f27	[ "MIT" ]	null	null	null	test.py	avihu111/viewpoint_disentanglement	07aa4e119426a500fb1e5b5929909cd791982f27	[ "MIT" ]	null	null	null	from training.networks import Generator	20	39	0.875	5	40	7	1	0	0	0	0	0	0	0	0	0	0	0.1	40	1	40	40	0.972222	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
229354ecec2630ff09c00cd2ab0dca3d64f61275	2,879	py	Python	06_bsearch/bisect_xrh.py	Xinrihui/Data-Structure-and-Algrithms	fa3a455f64878e42d033c1fd8d612f108c71fb72	[ "Apache-2.0" ]	1	2021-08-13T10:55:33.000Z	2021-08-13T10:55:33.000Z	06_bsearch/bisect_xrh.py	Xinrihui/Data-Structure-and-Algrithms	fa3a455f64878e42d033c1fd8d612f108c71fb72	[ "Apache-2.0" ]	null	null	null	06_bsearch/bisect_xrh.py	Xinrihui/Data-Structure-and-Algrithms	fa3a455f64878e42d033c1fd8d612f108c71fb72	[ "Apache-2.0" ]	null	null	null	# !/usr/bin/python # -- coding: UTF-8 -- import timeit from collections import * import numpy as np class bisect(object): """ 实现 python 自带的 bisect 模块 by XRH date: 2021-03-01 """ def bisect_key_left(self, nums, target): """ (1) 若查找不到 target 则 bisect_key_left ...	19.855172	82	0.47968	414	2,879	3.190821	0.205314	0.177139	0.169569	0.205905	0.817562	0.816048	0.763058	0.75246	0.644966	0.5405	0.0625	0.388677	2,879	144	83	19.993056	0.688068	0.374783	0.545455	0	0	0.005044	0	0	0	0	1	0.045455	false	0	0.068182	0	0.227273	0.181818	0	0	0	null	0	0	1	1	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	5
22c9df3417cd2699b6a84c89f09537ed852aceb8	153	py	Python	examples/addition/formatter.py	kevinsogo/compgen	c765fdb3008d41f409836a45ad5a506db6a99e74	[ "MIT" ]	6	2019-11-30T17:03:13.000Z	2021-09-30T05:08:31.000Z	examples/addition/formatter.py	kevinsogo/compgen	c765fdb3008d41f409836a45ad5a506db6a99e74	[ "MIT" ]	1	2020-01-20T12:13:03.000Z	2020-01-20T12:13:03.000Z	examples/addition/formatter.py	kevinsogo/compgen	c765fdb3008d41f409836a45ad5a506db6a99e74	[ "MIT" ]	null	null	null	def print_to_file(file, cases): print(len(cases), file=file) for arr in cases: print(len(arr), file=file) print(*arr, file=file)	25.5	34	0.614379	24	153	3.833333	0.375	0.347826	0.282609	0	0	0	0	0	0	0	0	0.24183	153	5	35	30.6	0.793103	0	0	0	0	0	0	0	0	0	1	0.2	false	0	0	0	0.2	0.8	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	5
22e15d0f8195e4d90b52593cbe777142cf351fe8	1,309	py	Python	tests/constants.py	jsbeckwith/entwiner	47e31d332a81ad3108a27cbe768663dc50ce2825	[ "Apache-2.0" ]	1	2021-02-11T19:21:24.000Z	2021-02-11T19:21:24.000Z	tests/constants.py	jsbeckwith/entwiner	47e31d332a81ad3108a27cbe768663dc50ce2825	[ "Apache-2.0" ]	null	null	null	tests/constants.py	jsbeckwith/entwiner	47e31d332a81ad3108a27cbe768663dc50ce2825	[ "Apache-2.0" ]	1	2020-08-23T22:19:39.000Z	2020-08-23T22:19:39.000Z	FEATURES = { "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "LineString", "coordinates": [ [-122.3141965, 47.6598870], [-122.3132940, 47.6598762], ], ...	26.18	47	0.309396	64	1,309	6.328125	0.3125	0.108642	0.187654	0.22716	0.750617	0.632099	0.632099	0.632099	0.325926	0.325926	0.25	0.535523	1,309	49	48	26.714286	0.416118	0	0.591837	0	0	0.187166	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	1	1	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
22edeb054acf7846e788bbe14fc93de0f907accb	80	py	Python	agent/Nidan/config.py	michelep/nidan	2c964ee45798c3bd0e3333d8dd19a4e49994bcf2	[ "MIT" ]	27	2017-09-04T11:54:31.000Z	2022-02-01T12:15:34.000Z	agent/Nidan/config.py	michelep/nidan	2c964ee45798c3bd0e3333d8dd19a4e49994bcf2	[ "MIT" ]	1	2017-10-24T07:18:13.000Z	2017-10-24T07:18:13.000Z	agent/Nidan/config.py	michelep/nidan	2c964ee45798c3bd0e3333d8dd19a4e49994bcf2	[ "MIT" ]	11	2017-10-23T13:52:05.000Z	2022-02-01T11:37:32.000Z	# # Nidan # # (C) 2017 Michele <o-zone@zerozone.it> Pinassi class Config: pass	11.428571	47	0.675	12	80	4.5	1	0	0	0	0	0	0	0	0	0	0.060606	0.175	80	6	48	13.333333	0.757576	0.6375	0	0	0	0	0	0	0	0	1	0	true	1	0	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	1	0	5
22f0923fbc59c18527fbb555f3744ce8f5073549	28	py	Python	bbscript/__init__.py	mrunmay-epi/bbscript	24a4cb95c32c8e1162f7ad74e2af0643f87f545c	[ "MIT" ]	1	2021-09-13T14:35:18.000Z	2021-09-13T14:35:18.000Z	bbscript/__init__.py	mrunmay-epi/bbscript	24a4cb95c32c8e1162f7ad74e2af0643f87f545c	[ "MIT" ]	null	null	null	bbscript/__init__.py	mrunmay-epi/bbscript	24a4cb95c32c8e1162f7ad74e2af0643f87f545c	[ "MIT" ]	4	2021-05-21T06:22:23.000Z	2021-06-22T10:17:37.000Z	from .runtime import Runtime	28	28	0.857143	4	28	6	0.75	0	0	0	0	0	0	0	0	0	0	0.107143	28	1	28	28	0.96	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
a3d1f2ee63335ae9820ea7beccea289b57739fc4	87	py	Python	Kattis/mnist10class.py	ruidazeng/online-judge	6bdf8bbf1af885637dab474d0ccb58aff22a0933	[ "MIT" ]	null	null	null	Kattis/mnist10class.py	ruidazeng/online-judge	6bdf8bbf1af885637dab474d0ccb58aff22a0933	[ "MIT" ]	null	null	null	Kattis/mnist10class.py	ruidazeng/online-judge	6bdf8bbf1af885637dab474d0ccb58aff22a0933	[ "MIT" ]	1	2020-06-22T21:07:24.000Z	2020-06-22T21:07:24.000Z	for _ in range(150): for _ in range(51): print(1, end = ' ') print()	21.75	28	0.471264	12	87	3.25	0.666667	0.25641	0.512821	0	0	0	0	0	0	0	0.109091	0.367816	87	4	29	21.75	0.6	0	0	0	0	0.011765	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	5
4319082caa0057e634bbc75fd5006d2ee447c561	190	py	Python	dhivehi_nlp/_helpers.py	mismaah/dhivehi-nlp	5faa31141a446933e0949bdc29dd9905a1548b90	[ "MIT" ]	9	2021-04-18T17:55:19.000Z	2022-01-25T03:47:53.000Z	dhivehi_nlp/_helpers.py	mismaah/dhivehi-nlp	5faa31141a446933e0949bdc29dd9905a1548b90	[ "MIT" ]	null	null	null	dhivehi_nlp/_helpers.py	mismaah/dhivehi-nlp	5faa31141a446933e0949bdc29dd9905a1548b90	[ "MIT" ]	1	2021-06-04T10:42:41.000Z	2021-06-04T10:42:41.000Z	import sqlite3 import pkg_resources def _db_connect(): db_path = pkg_resources.resource_filename("dhivehi_nlp", "data/dhivehi_nlp.db") con = sqlite3.connect(db_path) return con	23.75	83	0.757895	27	190	5	0.555556	0.177778	0.192593	0	0	0	0	0	0	0	0.012346	0.147368	190	8	84	23.75	0.820988	0	0	0	0	0.157068	0	0	0	0	1	0.166667	false	0	0.333333	0	0.666667	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
433cfc5afacc7f0631d77200708cbd2091771561	62	py	Python	src/sensor_odom_manager/__init__.py	whoobee/rs_odom_manager	06fda6418c90bed53c5c99df2a0eb3496a6fded8	[ "MIT" ]	7	2021-06-17T06:38:36.000Z	2022-03-19T15:11:12.000Z	src/sensor_odom_manager/__init__.py	whoobee/rs_odom_manager	06fda6418c90bed53c5c99df2a0eb3496a6fded8	[ "MIT" ]	1	2020-11-18T03:52:56.000Z	2020-12-05T22:51:42.000Z	src/sensor_odom_manager/__init__.py	whoobee/rs_odom_manager	06fda6418c90bed53c5c99df2a0eb3496a6fded8	[ "MIT" ]	2	2020-10-01T06:50:40.000Z	2022-03-19T15:11:16.000Z	from sensor_odom_manager_node import ODriveNode, start_manager	62	62	0.919355	9	62	5.888889	0.888889	0	0	0	0	0	0	0	0	0	0	0.064516	62	1	62	62	0.913793	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
433da01f3f4afa3bee0d3b250c171347c0ff1b2d	657	py	Python	DTL/gui/core/studiomax/core.py	rocktavious/DevToolsLib	117200c91a3361e04f7c8e07d2ed4999bbcfc469	[ "MIT" ]	1	2015-03-23T18:52:12.000Z	2015-03-23T18:52:12.000Z	DTL/gui/core/studiomax/core.py	rocktavious/DevToolsLib	117200c91a3361e04f7c8e07d2ed4999bbcfc469	[ "MIT" ]	null	null	null	DTL/gui/core/studiomax/core.py	rocktavious/DevToolsLib	117200c91a3361e04f7c8e07d2ed4999bbcfc469	[ "MIT" ]	2	2017-05-21T12:50:41.000Z	2021-10-17T03:32:45.000Z	import Py3dsMax from Py3dsMax import mxs from DTL.api.cores.external.core import Core #------------------------------------------------------------ #------------------------------------------------------------ class StudioMaxCore(Core): '''Tool Environment Core for 3dsMax''' #---------------------------------...	32.85	65	0.421613	42	657	6.404762	0.642857	0.05948	0	0	0	0	0	0	0	0	0.005367	0.149163	657	19	66	34.578947	0.47585	0.494673	0	0	0	0	0	0	0	0	1	0.222222	false	0.111111	0.333333	0	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	1	0	1	1	0	1	0	5

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