Split (1)

train · 675k rows

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3e410665f2914febcefd29bc26211733f3b6cf88	1,988	py	Python	a4-py/index.py	francisgerman70/CSC370	0682ea5abdfdbc87b76efd18f98e27a6c49d2b45	[ "MIT" ]	null	null	null	a4-py/index.py	francisgerman70/CSC370	0682ea5abdfdbc87b76efd18f98e27a6c49d2b45	[ "MIT" ]	null	null	null	a4-py/index.py	francisgerman70/CSC370	0682ea5abdfdbc87b76efd18f98e27a6c49d2b45	[ "MIT" ]	8	2022-03-02T19:39:03.000Z	2022-03-22T06:21:25.000Z	# Definition of a Linearised B+-tree index class with fan-out 3 # The keys are unsigned (i.e., non-negative) integers. # # This is a linearised tree, i.e., it is implemented as an array rather # than with pointers. As you have seen in previous classes, one can # implement a binary tree of height h with an arra...	45.181818	84	0.676056	351	1,988	3.77208	0.356125	0.037009	0.037764	0.05287	0.293051	0.293051	0.293051	0.293051	0.274924	0.226586	0.013963	0.243461	1,988	43	85	46.232558	0.866356	0.747988	0	0	0	0	0	0	0	0	1	0.357143	false	0	0.142857	0.285714	0.928571	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
3e48ede201d56980ee505898e6bc9ec684eb0932	7,569	py	Python	utils/loss.py	kyotovision-public/multimodal-material-segmentation	2f057e9efca0780a887c97fbca9fcfb49fb4d03a	[ "MIT" ]	null	null	null	utils/loss.py	kyotovision-public/multimodal-material-segmentation	2f057e9efca0780a887c97fbca9fcfb49fb4d03a	[ "MIT" ]	null	null	null	utils/loss.py	kyotovision-public/multimodal-material-segmentation	2f057e9efca0780a887c97fbca9fcfb49fb4d03a	[ "MIT" ]	null	null	null	import torch import torch.nn as nn import numpy as np KITTI_LOSS_WEIGHT = torch.tensor([ [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], # background [0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0...	45.323353	133	0.505219	1,505	7,569	2.501661	0.086379	0.427092	0.60239	0.758566	0.592032	0.556972	0.556972	0.556441	0.530943	0.477291	0.173705	0.283525	7,569	166	134	45.596386	0.520561	0.094596	0.365854	0	0	0.004115	0	0	0	0.01626	1	0.056911	false	0	0.02439	0	0.162602	0.04878	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
3e54742d042737a415958421036eb141bdd3ae61	26	py	Python	JapaneseTokenizer/common/__init__.py	fumankaitori/JapaneseTokenizers	3bdfb6be73de0f78e5c08f3a51376ad3efa00b6c	[ "MIT" ]	134	2015-12-14T05:05:41.000Z	2022-03-27T15:52:30.000Z	JapaneseTokenizer/common/__init__.py	fumankaitori/JapaneseTokenizers	3bdfb6be73de0f78e5c08f3a51376ad3efa00b6c	[ "MIT" ]	40	2016-03-29T05:41:50.000Z	2020-07-08T08:54:50.000Z	JapaneseTokenizer/common/__init__.py	fumankaitori/JapaneseTokenizers	3bdfb6be73de0f78e5c08f3a51376ad3efa00b6c	[ "MIT" ]	22	2016-01-27T01:17:59.000Z	2022-02-15T13:46:39.000Z	__author__ = 'kensuke-mi'	13	25	0.730769	3	26	5	1	0	0	0	0	0	0	0	0	0	0	0.115385	26	1	26	26	0.652174	0	0	0	0	0.384615	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
3e567972e31f7b128c60c719f7e16254c58aa6da	118	py	Python	testapp/customfields/__init__.py	stevelittlefish/easyforms	7944b83ec94a29ca55777d16536e13cbf8f6996f	[ "Apache-2.0" ]	5	2017-04-27T09:08:33.000Z	2020-08-25T21:54:56.000Z	testapp/customfields/__init__.py	stevelittlefish/easyforms	7944b83ec94a29ca55777d16536e13cbf8f6996f	[ "Apache-2.0" ]	8	2021-01-15T15:42:44.000Z	2022-01-13T00:41:20.000Z	testapp/customfields/__init__.py	stevelittlefish/easyforms	7944b83ec94a29ca55777d16536e13cbf8f6996f	[ "Apache-2.0" ]	null	null	null	""" Custom fields package """ from .customfields import * __author__ = 'Stephen Brown (Little Fish Solutions LTD)'	13.111111	56	0.720339	13	118	6.230769	1	0	0	0	0	0	0	0	0	0	0	0.169492	118	8	57	14.75	0.826531	0.177966	0	0	0	0.465909	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
3e734254e83652f238829868f2615efb0d3a9fe5	84	py	Python	meddlr/transforms/param_kind.py	ad12/meddlr	dda5a4ad7855de3a34331c60599e3253f980e989	[ "Apache-2.0" ]	23	2021-11-05T02:00:01.000Z	2022-03-21T15:35:38.000Z	meddlr/transforms/param_kind.py	ad12/meddlr	dda5a4ad7855de3a34331c60599e3253f980e989	[ "Apache-2.0" ]	29	2021-11-04T22:18:26.000Z	2022-03-24T01:04:53.000Z	meddlr/transforms/param_kind.py	ad12/meddlr	dda5a4ad7855de3a34331c60599e3253f980e989	[ "Apache-2.0" ]	1	2022-01-25T22:34:51.000Z	2022-01-25T22:34:51.000Z	from enum import Enum class ParamKind(Enum): SINGLE_ARG = 0 MULTI_ARG = 1	12	22	0.678571	13	84	4.230769	0.769231	0	0	0	0	0	0	0	0	0	0.032258	0.261905	84	6	23	14	0.854839	0	0	0	0	0	0	0	0	0	1	0	false	0	0.25	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
e41dfbfa8aedfb04895165be39a769cf35737676	7,206	py	Python	tron/command_context.py	Yelp/Tron	d60b015163418bf66f638e4c12337289ad8c040a	[ "Apache-2.0" ]	190	2015-01-01T17:40:46.000Z	2022-02-02T09:32:03.000Z	tron/command_context.py	Yelp/Tron	d60b015163418bf66f638e4c12337289ad8c040a	[ "Apache-2.0" ]	237	2015-01-14T19:25:01.000Z	2022-03-15T18:33:29.000Z	tron/command_context.py	Yelp/Tron	d60b015163418bf66f638e4c12337289ad8c040a	[ "Apache-2.0" ]	40	2015-01-22T07:54:15.000Z	2022-03-03T08:01:29.000Z	"""Command Context is how we construct the command line for a command which may have variables that need to be rendered. """ import operator import re from functools import reduce from tron.utils import timeutils def build_context(object, parent): """Construct a CommandContext for object. object must have a prop...	33.516279	122	0.635998	962	7,206	4.621622	0.302495	0.018893	0.022042	0.011471	0.05803	0.021592	0	0	0	0	0.001574	0.294754	7,206	214	123	33.672897	0.873278	0.412157	0.211009	0	0	0.029945	0.011827	0	0	0	1	0.238532	false	0.009174	0.036697	0.12844	0.587156	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
e43f591f06bb910aedd8f22b0c8852cea27a4dc6	667	py	Python	rlcard/games/dungeonmayhem/__init__.py	IndianBoy42/rlcard	0f18a61affefcec6da092a61171e40058261f294	[ "MIT" ]	null	null	null	rlcard/games/dungeonmayhem/__init__.py	IndianBoy42/rlcard	0f18a61affefcec6da092a61171e40058261f294	[ "MIT" ]	null	null	null	rlcard/games/dungeonmayhem/__init__.py	IndianBoy42/rlcard	0f18a61affefcec6da092a61171e40058261f294	[ "MIT" ]	null	null	null	from rlcard.games.dungeonmayhem.barbarian import \ DungeonMayhemBarbarian as Barbarian # from rlcard.games.dungeonmayhem.card import DungeonMayhemCard as Card # from rlcard.games.dungeonmayhem.char import DungeonMayhemCharacter as Character # from rlcard.games.dungeonmayhem.game import DungeonMayhemGame as Game fro...	51.307692	81	0.841079	77	667	7.285714	0.363636	0.124777	0.187166	0.349376	0	0	0	0	0	0	0	0.103448	667	12	82	55.583333	0.938127	0.328336	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
e440f81d864b98caf9a5a9c44eb15e74ae499b7e	554	py	Python	bdbc/lib/python3.5/site-packages/bigchaindb/common/crypto.py	entropyx/fiduchain-blockchain-interface	07336a5eebfaa9cddb148edb94461a8fd57562b1	[ "MIT" ]	null	null	null	bdbc/lib/python3.5/site-packages/bigchaindb/common/crypto.py	entropyx/fiduchain-blockchain-interface	07336a5eebfaa9cddb148edb94461a8fd57562b1	[ "MIT" ]	null	null	null	bdbc/lib/python3.5/site-packages/bigchaindb/common/crypto.py	entropyx/fiduchain-blockchain-interface	07336a5eebfaa9cddb148edb94461a8fd57562b1	[ "MIT" ]	null	null	null	# Separate all crypto code so that we can easily test several implementations import sha3 from cryptoconditions import crypto def hash_data(data): """Hash the provided data using SHA3-256""" return sha3.sha3_256(data.encode()).hexdigest() def generate_key_pair(): # TODO FOR CC: Adjust interface so that...	29.157895	77	0.777978	73	554	5.753425	0.630137	0.028571	0.071429	0	0	0	0	0	0	0	0.052966	0.148014	554	18	78	30.777778	0.836864	0.33574	0	0	0	0	0	0	0.055556	0	1	0.222222	false	0	0.222222	0	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	1	0	0	1	0	0	0	0	1	0	3
e44302acd1f09f3f6dfad11db64edd0c869fb26b	474	py	Python	Practical Slips/Slip 07/Q2_A.py	PritKalariya/TY-BBA-CA-Lab-Book-Solutions	0e3281e6b7496ebd0c5a3af9ea3229af3fedc3b1	[ "MIT" ]	1	2022-03-13T17:28:15.000Z	2022-03-13T17:28:15.000Z	Practical Slips/Slip 07/Q2_A.py	PritKalariya/TY-BBA-CA-Sem-5-Practical-Slips-and-Lab-Book	0e3281e6b7496ebd0c5a3af9ea3229af3fedc3b1	[ "MIT" ]	1	2021-12-04T05:24:02.000Z	2021-12-07T13:35:53.000Z	Practical Slips/Slip 07/Q2_A.py	PritKalariya/TY-BBA-CA-Lab-Book-Solutions	0e3281e6b7496ebd0c5a3af9ea3229af3fedc3b1	[ "MIT" ]	1	2022-02-14T08:48:00.000Z	2022-02-14T08:48:00.000Z	# Write Python class to perform addition of two complex numbers using binary + operator overloading. class Complex: def __init__(self, real, imaginary): self.real = real self.imaginary = imaginary def __add__(self, other): return Complex(self.real + other.real, self.imaginary + other.i...	27.882353	100	0.656118	63	474	4.746032	0.47619	0.107023	0.113712	0	0	0	0	0	0	0	0.021918	0.229958	474	17	101	27.882353	0.79726	0.206751	0	0	0	0.010667	0	0	0	0	1	0.272727	false	0	0	0.181818	0.545455	0.090909	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
e44608e82ece772405187c610977a11a90623d35	894	py	Python	agnocomplete/exceptions.py	mike-perdide/django-agnocomplete	1ef67a0a808cfe61c6d1ac5ec449ee1a0f0246e8	[ "MIT" ]	10	2017-12-11T23:33:00.000Z	2022-01-24T05:28:48.000Z	agnocomplete/exceptions.py	mike-perdide/django-agnocomplete	1ef67a0a808cfe61c6d1ac5ec449ee1a0f0246e8	[ "MIT" ]	26	2017-11-21T08:55:29.000Z	2022-02-04T13:44:27.000Z	agnocomplete/exceptions.py	mike-perdide/django-agnocomplete	1ef67a0a808cfe61c6d1ac5ec449ee1a0f0246e8	[ "MIT" ]	2	2018-01-10T09:06:49.000Z	2021-07-11T10:24:23.000Z	""" Agnocomplete exception classes """ from requests.exceptions import HTTPError class UnregisteredAgnocompleteException(Exception): """ Occurs when trying to instanciate an unregistered Agnocompletion class """ pass class AuthenticationRequiredAgnocompleteException(Exception): """ Occurs wh...	19.021277	74	0.702461	89	894	7.05618	0.539326	0.119427	0.090764	0.079618	0.254777	0.254777	0.254777	0.254777	0.254777	0.254777	0.001449	0.228188	894	46	75	19.434783	0.908696	0.463087	0.461538	0	0	0	0	0	0	0	1	0	true	0.461538	0.076923	0	0.538462	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	1	0	3
e44876090783c8ea0ceae40edf8b3f6622a75f03	237	py	Python	projects/apps.py	ChameleonCloud/portal	92a06fb926dc36e997b94fb8dcd22b7e0d24d3ee	[ "Apache-2.0" ]	3	2015-08-04T20:53:41.000Z	2020-02-14T22:58:20.000Z	projects/apps.py	ChameleonCloud/portal	92a06fb926dc36e997b94fb8dcd22b7e0d24d3ee	[ "Apache-2.0" ]	103	2015-01-15T14:21:00.000Z	2022-03-31T19:14:20.000Z	projects/apps.py	ChameleonCloud/portal	92a06fb926dc36e997b94fb8dcd22b7e0d24d3ee	[ "Apache-2.0" ]	4	2016-02-22T16:48:20.000Z	2021-01-08T17:13:21.000Z	from django.apps import AppConfig from projects import monkey_patching class ProjectsConfig(AppConfig): name = "projects" def ready(self): print("MONKEY PATCHING USER MODEL") monkey_patching.patch_user_model()	21.545455	43	0.729958	28	237	6.035714	0.642857	0.248521	0	0	0	0	0	0	0	0	0	0.198312	237	10	44	23.7	0.889474	0	0	0	0	0.14346	0	0	0	0	1	0.142857	false	0	0.285714	0	0.714286	0.142857	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
e472a4058da11d3ba3d977f2011b534e6fc56345	136	py	Python	WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_String_format()_scientific_format.txt.py	webdevhub42/Lambda	b04b84fb5b82fe7c8b12680149e25ae0d27a0960	[ "MIT" ]	5	2021-06-02T23:44:25.000Z	2021-12-27T16:21:57.000Z	WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_String_format()_scientific_format.txt.py	webdevhub42/Lambda	b04b84fb5b82fe7c8b12680149e25ae0d27a0960	[ "MIT" ]	22	2021-05-31T01:33:25.000Z	2021-10-18T18:32:39.000Z	WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_String_format()_scientific_format.txt.py	webdevhub42/Lambda	b04b84fb5b82fe7c8b12680149e25ae0d27a0960	[ "MIT" ]	3	2021-06-19T03:37:47.000Z	2021-08-31T00:49:51.000Z	# Use "e" to convert a number into scientific number format (with a lower-case e): txt = "We have {:e} chickens." print(txt.format(5))	27.2	82	0.691176	24	136	3.916667	0.75	0	0	0	0	0	0	0	0	0	0.00885	0.169118	136	4	83	34	0.823009	0.588235	0	0	0	0.407407	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
e48ec6bc15665252021824ad4b1a7d18e02e2731	342	py	Python	classes.py	geevi/tf_simple	2b864ae349814a98611fc001c67f723e0578ef4b	[ "Apache-2.0" ]	3	2017-04-20T06:43:29.000Z	2017-10-13T08:13:19.000Z	classes.py	geevi/tf_simple	2b864ae349814a98611fc001c67f723e0578ef4b	[ "Apache-2.0" ]	null	null	null	classes.py	geevi/tf_simple	2b864ae349814a98611fc001c67f723e0578ef4b	[ "Apache-2.0" ]	1	2017-05-08T09:51:48.000Z	2017-05-08T09:51:48.000Z	from builtins import object class BaseModel(object): def __init__(self, dataset): self.dataset = dataset def train(self, sess): return sess.run([self.optimizer, self.train_summary_op, self.global_step], self.train_feed)[1:] def validate(self, sess): return sess.run(self.val_summa...	26.307692	103	0.695906	48	342	4.729167	0.479167	0.096916	0.123348	0.15859	0.220264	0.220264	0	0	0	0	0.003623	0.192982	342	12	104	28.5	0.818841	0	0	0	0	0	0	0	0	0	1	0.375	false	0	0.125	0.25	0.875	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
e4aba370b7cf2ddb0e62a50feefb7691a307ebde	29	py	Python	dstools/ml/__init__.py	DorimenUkraine/ds-tools	34454a6054b9a81358f392f996b41f38895b15fd	[ "Apache-2.0" ]	8	2017-04-28T11:56:33.000Z	2019-06-23T14:50:14.000Z	dstools/ml/__init__.py	dllllb/ds-pipeline	d7ad191d6d532fef425ec00b1250c8a566c563c7	[ "Apache-2.0" ]	null	null	null	dstools/ml/__init__.py	dllllb/ds-pipeline	d7ad191d6d532fef425ec00b1250c8a566c563c7	[ "Apache-2.0" ]	4	2017-12-12T12:56:32.000Z	2019-06-23T14:49:52.000Z	__author__ = 'Dmitri Babaev'	14.5	28	0.758621	3	29	6	1	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.72	0	0	0	0	0.448276	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
e4ac72eb5f13a069cce6090a1a62a7a066a5e000	1,033	py	Python	environment/envtest.py	goramos/pyrl	df6131dc7564a0456b63ebcf23e9d92b152fd0d0	[ "MIT" ]	5	2017-09-25T11:08:02.000Z	2021-03-07T18:21:11.000Z	environment/envtest.py	goramos/pyrl	df6131dc7564a0456b63ebcf23e9d92b152fd0d0	[ "MIT" ]	1	2021-04-01T12:53:51.000Z	2021-04-01T12:53:51.000Z	environment/envtest.py	goramos/pyrl	df6131dc7564a0456b63ebcf23e9d92b152fd0d0	[ "MIT" ]	12	2018-03-20T16:30:09.000Z	2021-12-15T09:16:37.000Z	''' Created on 08/08/2014 @author: Gabriel de O. Ramos <goramos@inf.ufrgs.br> ''' from environment import Environment class EnvTest1(Environment): def __init__(self): #create the environment as a dictionary self._env = {"s1" : ["s1>s2","s1>s3"], "s2": ["s2>s1", "s2>s3"], "s3": ["null...	26.487179	88	0.591481	133	1,033	4.398496	0.406015	0.076923	0.066667	0.064957	0	0	0	0	0	0	0.035961	0.300097	1,033	39	89	26.487179	0.773167	0.268151	0	0	0	0.047043	0	0	0	0	1	0.277778	false	0	0.055556	0.166667	0.611111	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
e4b3ef0516c6bcf5e1bd242f8f4603886053c7b2	245	py	Python	registration/admin.py	akshaya9/fosswebsite	5669a90ebb1fea2213c207a938236fba7643375c	[ "MIT" ]	369	2017-10-02T03:04:24.000Z	2022-03-26T10:54:55.000Z	registration/admin.py	akshaya9/fosswebsite	5669a90ebb1fea2213c207a938236fba7643375c	[ "MIT" ]	121	2017-10-01T14:21:48.000Z	2018-11-08T16:57:26.000Z	registration/admin.py	akshaya9/fosswebsite	5669a90ebb1fea2213c207a938236fba7643375c	[ "MIT" ]	69	2017-10-13T11:04:38.000Z	2021-12-08T06:23:19.000Z	# created by Chirath R, chirath.02@gmail.com # -- coding: utf-8 -- from __future__ import unicode_literals from django.contrib import admin # Register your models here. from registration.models import UserInfo admin.site.register(UserInfo)	22.272727	44	0.779592	34	245	5.470588	0.735294	0	0	0	0	0	0	0	0	0	0.014085	0.130612	245	10	45	24.5	0.859155	0.371429	0	0	0	0	0	0	0	0	1	0	true	0	0.75	0	0.75	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	3
e4cdfcd46a9c0cd6d52cefccf7d29824da36c448	137	py	Python	tests/test_unittests.py	oren0e/cob	f2a5d74a15f5262d7980e4cf1f1a20af29194ffb	[ "BSD-3-Clause" ]	2	2019-04-07T20:19:55.000Z	2021-05-27T10:23:31.000Z	tests/test_unittests.py	oren0e/cob	f2a5d74a15f5262d7980e4cf1f1a20af29194ffb	[ "BSD-3-Clause" ]	126	2016-08-10T19:59:45.000Z	2021-11-26T06:58:16.000Z	tests/test_unittests.py	oren0e/cob	f2a5d74a15f5262d7980e4cf1f1a20af29194ffb	[ "BSD-3-Clause" ]	6	2017-11-16T12:05:47.000Z	2021-11-24T09:21:17.000Z	import subprocess import pytest from .project import Project def test_models(): project = Project('unittests') project.test()	13.7	34	0.729927	16	137	6.1875	0.5625	0	0	0	0	0	0	0	0	0	0	0.182482	137	9	35	15.222222	0.883929	0	0	0	0	0.065693	0	0	0	0	1	0.166667	false	0	0.5	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
e4de25287174308be4a17ac8524f2a8499654216	124	py	Python	chibi_command/ffmpeg.py	dem4ply/chibi_command	49efc3070bdf40e5f27146379487345b1accd427	[ "WTFPL" ]	null	null	null	chibi_command/ffmpeg.py	dem4ply/chibi_command	49efc3070bdf40e5f27146379487345b1accd427	[ "WTFPL" ]	null	null	null	chibi_command/ffmpeg.py	dem4ply/chibi_command	49efc3070bdf40e5f27146379487345b1accd427	[ "WTFPL" ]	null	null	null	from chibi_command import Command class Ffmpeg( Command ): command = 'ffmpeg' captive = False ffmpeg = Ffmpeg()	12.4	33	0.685484	14	124	6	0.571429	0	0	0	0	0	0	0	0	0	0	0.233871	124	9	34	13.777778	0.884211	0	0	0	0	0.048387	0	0	0	0	1	0	false	0	0.2	0	0.8	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
e4f55272d5b3b3c971b489223a76f7eb370e32d2	1,230	py	Python	tap_immuta/schemas/global_policy.py	immuta/tap-immuta	4b0789ba879a5f0d4120bb44011b857f67b83ff8	[ "MIT" ]	null	null	null	tap_immuta/schemas/global_policy.py	immuta/tap-immuta	4b0789ba879a5f0d4120bb44011b857f67b83ff8	[ "MIT" ]	1	2021-10-08T13:59:44.000Z	2021-10-08T13:59:44.000Z	tap_immuta/schemas/global_policy.py	immuta/tap-immuta	4b0789ba879a5f0d4120bb44011b857f67b83ff8	[ "MIT" ]	null	null	null	from singer_sdk import typing as th schema = th.PropertiesList( th.Property("id", th.IntegerType), th.Property("name", th.StringType), th.Property("type", th.StringType), th.Property("template", th.BooleanType), th.Property("staged", th.BooleanType), th.Property("systemGenerated", th.BooleanTyp...	31.538462	61	0.544715	116	1,230	5.758621	0.301724	0.299401	0.209581	0.329341	0.197605	0.197605	0.197605	0.143713	0.143713	0	0	0.307317	1,230	38	62	32.368421	0.784038	0	0.405405	0	0	0.11626	0	0	0	0	1	0	false	0	0.027027	0	0.027027	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
90224f22ba83c064b35cda4c9ea8af4d30995862	2,572	py	Python	tests/test_extract.py	ckindermann/gizmos	f35396e3bab677826cf8530f685ecbf1a8b19d2c	[ "BSD-3-Clause" ]	null	null	null	tests/test_extract.py	ckindermann/gizmos	f35396e3bab677826cf8530f685ecbf1a8b19d2c	[ "BSD-3-Clause" ]	null	null	null	tests/test_extract.py	ckindermann/gizmos	f35396e3bab677826cf8530f685ecbf1a8b19d2c	[ "BSD-3-Clause" ]	null	null	null	import psycopg2 import sqlite3 from gizmos.extract import extract_terms from rdflib import Graph from util import test_conn, test_db, create_postgresql_db, create_sqlite_db, compare_graphs def extract_no_hierarchy(conn): ttl = extract_terms( conn, {"OBI:0100046": {}, "BFO:0000040": {}}, ["rdfs:label", "I...	27.073684	102	0.683904	306	2,572	5.555556	0.153595	0.077647	0.088235	0.055882	0.728824	0.728824	0.728824	0.709412	0.588824	0.588824	0.038389	0.179627	2,572	94	103	27.361702	0.767299	0	0.546875	0	0	0.19479	0.080482	0	0	0	1	0.109375	false	0	0.078125	0	0.1875	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
90390928973ab7a51e889fdeb28fb5917531d9af	321	py	Python	setup.py	samirchar/toxic_comments	7011cfeae4a2ac1c310626ae2a5f50ff9acaeea6	[ "MIT" ]	null	null	null	setup.py	samirchar/toxic_comments	7011cfeae4a2ac1c310626ae2a5f50ff9acaeea6	[ "MIT" ]	null	null	null	setup.py	samirchar/toxic_comments	7011cfeae4a2ac1c310626ae2a5f50ff9acaeea6	[ "MIT" ]	null	null	null	from setuptools import find_packages, setup setup( name='src', packages=find_packages(), version='0.1.0', description='Kaggle toxic comment classification challenge. https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/notebooks', author='samir char-iglesias', license='MIT', )...	29.181818	146	0.728972	39	321	5.948718	0.74359	0.103448	0.224138	0.301724	0	0	0	0	0	0	0.01083	0.137072	321	10	147	32.1	0.826715	0	0	0	0.111111	0.489097	0	0	0	0	1	0	true	0	0.111111	0	0.111111	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
9044e978769a5669e19da7383f8c13d116848995	174	py	Python	exercícios/EX_CursoEmVideo/ex027.py	jose-carlos-code/CursoEmvideo-python	8c9b82db2c2b906f6d8f2359a680b9b3af25da43	[ "MIT" ]	1	2021-01-11T15:10:36.000Z	2021-01-11T15:10:36.000Z	exercícios/EX_CursoEmVideo/ex027.py	jose-carlos-code/CursoEmvideo-python	8c9b82db2c2b906f6d8f2359a680b9b3af25da43	[ "MIT" ]	null	null	null	exercícios/EX_CursoEmVideo/ex027.py	jose-carlos-code/CursoEmvideo-python	8c9b82db2c2b906f6d8f2359a680b9b3af25da43	[ "MIT" ]	null	null	null	nome = str(input('qual o seu nome completo?: ')).strip() d = nome.split() print('o seu primeiro nome é {}'.format(d[0])) print('o seu ultimo nome é {}'.format(d[len(d)-1]))	29	56	0.626437	32	174	3.40625	0.5625	0.110092	0.165138	0.220183	0	0	0	0	0	0	0.013333	0.137931	174	5	57	34.8	0.713333	0	0	0	0	0.421965	0	0	0	0	1	0	false	0	0	0	0	0.5	0	0	0	null	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
5f4b6e5962914a227cc69fd973a0c319afae0bd0	19	py	Python	alvi/tests/test_client/config.py	alviproject/alvi	ec77919a546c11c46b178a21236792f8b0d95cbd	[ "MIT" ]	10	2015-06-01T09:11:33.000Z	2018-03-02T13:52:46.000Z	alvi/tests/test_client/config.py	alviproject/alvi	ec77919a546c11c46b178a21236792f8b0d95cbd	[ "MIT" ]	null	null	null	alvi/tests/test_client/config.py	alviproject/alvi	ec77919a546c11c46b178a21236792f8b0d95cbd	[ "MIT" ]	5	2015-09-17T17:34:16.000Z	2019-09-04T10:50:29.000Z	default_scenes = []	19	19	0.736842	2	19	6.5	1	0	0	0	0	0	0	0	0	0	0	0.105263	19	1	19	19	0.764706	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
5f6f644ff4343194677611cf53382b58a01aa676	171	py	Python	pmfp/entrypoint/schema/core.py	Python-Tools/pmfp	832273890eec08e84f9c68d03f3316b2c8139133	[ "MIT" ]	4	2017-09-15T03:38:56.000Z	2019-12-16T02:03:14.000Z	pmfp/entrypoint/schema/core.py	Python-Tools/pmfp	832273890eec08e84f9c68d03f3316b2c8139133	[ "MIT" ]	1	2021-04-27T10:51:42.000Z	2021-04-27T10:51:42.000Z	pmfp/entrypoint/schema/core.py	Python-Tools/pmfp	832273890eec08e84f9c68d03f3316b2c8139133	[ "MIT" ]	null	null	null	"""ppm schema命令的处理.""" from schema_entry import EntryPoint from ..core import ppm class Schema(EntryPoint): """jsonschema相关的工具.""" schema = ppm.regist_sub(Schema)	15.545455	35	0.725146	20	171	6.1	0.6	0	0	0	0	0	0	0	0	0	0	0.140351	171	10	36	17.1	0.829932	0.192982	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
5f7532b995631244d0ccd153b8495f40d54522a5	106	py	Python	goldman/utils/__init__.py	sassoo/goldman	b72540c9ad06b5c68aadb1b4fa8cb0b716260bf2	[ "MIT" ]	2	2016-07-26T13:47:51.000Z	2017-02-13T12:08:38.000Z	goldman/utils/__init__.py	sassoo/goldman	b72540c9ad06b5c68aadb1b4fa8cb0b716260bf2	[ "MIT" ]	null	null	null	goldman/utils/__init__.py	sassoo/goldman	b72540c9ad06b5c68aadb1b4fa8cb0b716260bf2	[ "MIT" ]	null	null	null	""" utils ~~~~~ Helper routines & 3rd party interfaces can be placed in this module. """	13.25	64	0.566038	12	106	5	1	0	0	0	0	0	0	0	0	0	0.013699	0.311321	106	7	65	15.142857	0.808219	0.764151	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
5f772daf459a02b5562d15412d698dff8f60f633	256	py	Python	python/datamodel_parser/application/__init__.py	sdss/datamodel_parser	a4ff123ff7daf88e7402a7d50c38141d206e8054	[ "BSD-3-Clause" ]	2	2019-06-19T09:28:26.000Z	2019-09-20T01:58:00.000Z	python/datamodel_parser/application/__init__.py	sdss/datamodel_parser	a4ff123ff7daf88e7402a7d50c38141d206e8054	[ "BSD-3-Clause" ]	null	null	null	python/datamodel_parser/application/__init__.py	sdss/datamodel_parser	a4ff123ff7daf88e7402a7d50c38141d206e8054	[ "BSD-3-Clause" ]	null	null	null	from .Argument import Argument from .Util import Util from .Type import Type from .Intro import Intro from .Stub import Stub from .Hdu import Hdu from .Database import Database from .File import File from .Filespec import Filespec from .Store import Store	23.272727	30	0.804688	40	256	5.15	0.3	0	0	0	0	0	0	0	0	0	0	0.15625	256	10	31	25.6	0.953704	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	3
5f79dd8420b757f4b70c92adb6fd1bb2261eb90d	2,245	py	Python	src/UQpy/Inference/__init__.py	marrov/UQpy	b04a267b3080e3d4d38e876547ba0d3b979734f3	[ "MIT" ]	132	2018-03-13T13:56:33.000Z	2022-03-21T13:59:17.000Z	src/UQpy/Inference/__init__.py	marrov/UQpy	b04a267b3080e3d4d38e876547ba0d3b979734f3	[ "MIT" ]	140	2018-05-21T13:40:01.000Z	2022-03-29T14:18:01.000Z	src/UQpy/Inference/__init__.py	marrov/UQpy	b04a267b3080e3d4d38e876547ba0d3b979734f3	[ "MIT" ]	61	2018-05-02T13:40:05.000Z	2022-03-06T11:31:21.000Z	# UQpy is distributed under the MIT license. # # Copyright (C) 2018 -- Michael D. Shields # # Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated # documentation files (the "Software"), to deal in the Software without restriction, including without limitation th...	52.209302	120	0.809354	288	2,245	6.309028	0.475694	0.044029	0.093561	0.050633	0.222345	0	0	0	0	0	0.002059	0.134521	2,245	42	121	53.452381	0.933093	0.732739	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	3
5f8bfde56325b1a83c4ccfd94ff4f4f69365f0bd	375	py	Python	perturbation_classifiers/subconcept/clustering/__init__.py	rjos/perturbation-classifiers	5637b49c5c297e20b4ee6bcee25173d9d11d642f	[ "MIT" ]	null	null	null	perturbation_classifiers/subconcept/clustering/__init__.py	rjos/perturbation-classifiers	5637b49c5c297e20b4ee6bcee25173d9d11d642f	[ "MIT" ]	null	null	null	perturbation_classifiers/subconcept/clustering/__init__.py	rjos/perturbation-classifiers	5637b49c5c297e20b4ee6bcee25173d9d11d642f	[ "MIT" ]	null	null	null	# coding=utf-8 # Author: Rodolfo J. O. Soares <rodolfoj.soares@gmail.com> from .internal_validation import best_k_calinsk_harabasz, best_k_davies_bouldin, best_k_gap_statistic, best_k_silhouette from .small_cluster import find_small_clusters __all__ = ['best_k_calinsk_harabasz', 'best_k_davies_bouldin', 'best_k_gap_...	46.875	130	0.832	57	375	4.912281	0.508772	0.142857	0.085714	0.142857	0.5	0.5	0.5	0.5	0.5	0.5	0.00289	0.077333	375	8	130	46.875	0.806358	0.184	0	0	0	0.328947	0.144737	0	0	0	1	0	false	0	0.666667	0	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
396ebd4580cc1dca856bf21f3660a1ff46a1aff9	18,668	py	Python	PyBioMed/test/test_PyDNA.py	Bibyutatsu/PyBioMed	263429e5ffa2ac7bf32ccb6fac969a12ce6cf637	[ "BSD-3-Clause" ]	90	2016-12-23T05:36:15.000Z	2022-03-19T21:00:46.000Z	PyBioMed/test/test_PyDNA.py	Bibyutatsu/PyBioMed	263429e5ffa2ac7bf32ccb6fac969a12ce6cf637	[ "BSD-3-Clause" ]	9	2019-04-24T08:16:22.000Z	2022-03-28T03:38:02.000Z	PyBioMed/test/test_PyDNA.py	Bibyutatsu/PyBioMed	263429e5ffa2ac7bf32ccb6fac969a12ce6cf637	[ "BSD-3-Clause" ]	52	2017-03-24T15:50:47.000Z	2022-03-28T13:46:59.000Z	# -- coding: utf-8 -- # Copyright (c) 2016-2017, Zhijiang Yao, Jie Dong and Dongsheng Cao # All rights reserved. # This file is part of the PyBioMed. # The contents are covered by the terms of the BSD license # which is included in the file license.txt, found at the root # of the PyBioMed source tree. """ The s...	24.150065	88	0.396775	1,845	18,668	3.952304	0.142005	0.072408	0.05362	0.063083	0.763028	0.725178	0.647422	0.624383	0.515359	0.459408	0.145111	0.382044	18,668	772	89	24.181347	0.486997	0.058067	0.789238	0	0	0.211767	0.15031	0	0	0	1	0.001495	false	0	0.007474	0	0.008969	0.188341	0	0	0	null	0	0	0	1	0	0	0	0	0	0	0	1	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
397062901e6084527b63a868c6eb1211fe5ae2f0	693	py	Python	backend/pokemon/migrations/0004_auto_20210601_1842.py	DeborahAlmeida/pokebattle	c8cf741eaca2372cd3aca02709c65b12e237fe11	[ "MIT" ]	null	null	null	backend/pokemon/migrations/0004_auto_20210601_1842.py	DeborahAlmeida/pokebattle	c8cf741eaca2372cd3aca02709c65b12e237fe11	[ "MIT" ]	5	2021-04-08T17:52:40.000Z	2021-08-16T13:46:15.000Z	backend/pokemon/migrations/0004_auto_20210601_1842.py	DeborahAlmeida/pokebattle	c8cf741eaca2372cd3aca02709c65b12e237fe11	[ "MIT" ]	null	null	null	# Generated by Django 3.2 on 2021-06-01 18:42 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pokemon', '0003_alter_pokemon_pokemon_id'), ] operations = [ migrations.AlterField( model_name='pokemon', name='attack...	23.896552	53	0.561328	65	693	5.876923	0.523077	0.157068	0.196335	0.227749	0.557592	0.47644	0.371728	0.371728	0.371728	0.371728	0.038462	0.324675	693	28	54	24.75	0.777778	0.062049	0.545455	1	0	0.111111	0.044753	0	0	0	1	0	false	0	0.045455	0	0.181818	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	3
39c767d01b79fbb60f81979d120e3ae8c9f677eb	577	py	Python	pythoncollections/dicionarios/dicionario.py	joao0710/primeiro-repo	4fe1240c417d42fb4ec17861003a13b0d0e9310d	[ "MIT" ]	null	null	null	pythoncollections/dicionarios/dicionario.py	joao0710/primeiro-repo	4fe1240c417d42fb4ec17861003a13b0d0e9310d	[ "MIT" ]	null	null	null	pythoncollections/dicionarios/dicionario.py	joao0710/primeiro-repo	4fe1240c417d42fb4ec17861003a13b0d0e9310d	[ "MIT" ]	null	null	null	meu_diionario = {1 : 'Fabio', 2: 'Maria', 3 : 'José'} print(type(meu_diionario)) print(meu_diionario[3]) usuarios = { 10000: 'Joao Victor Lopes dos santos'} print(usuarios[10000]) for chave, valor in meu_diionario.items(): print(valor) #get() print(meu_diionario.get(2)) #len() print(len(meu_diionario)) #pop() m...	19.233333	53	0.715771	83	577	4.807229	0.373494	0.421053	0.255639	0.090226	0.170426	0.170426	0.170426	0.170426	0.170426	0	0.039139	0.114385	577	30	54	19.233333	0.741683	0.081456	0.294118	0	0	0.121905	0	0	0	0	1	0	false	0	0	0	0	0.588235	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
39f61a72de9d649d8d794bf2dfef2cb7f9b6e2ab	213	py	Python	Fibonacci/HugeFibonacciLastDigit.py	MahmudX/Algorithms	df498929b5d3fc0f0d558b3369c2aa9804c292f1	[ "MIT" ]	null	null	null	Fibonacci/HugeFibonacciLastDigit.py	MahmudX/Algorithms	df498929b5d3fc0f0d558b3369c2aa9804c292f1	[ "MIT" ]	null	null	null	Fibonacci/HugeFibonacciLastDigit.py	MahmudX/Algorithms	df498929b5d3fc0f0d558b3369c2aa9804c292f1	[ "MIT" ]	null	null	null	from Fibonacci import GetFibonacci from Pisano import GetPisano def GetFibonacciLastDigit(n, m): r = n % GetPisano(m) return GetFibonacci(r) % m print(GetFibonacciLastDigit(2816213588, 239))	19.363636	46	0.71831	24	213	6.375	0.625	0	0	0	0	0	0	0	0	0	0.076923	0.206573	213	10	47	21.3	0.828402	0	0	0	0	0	0	0	0	0	1	0.166667	false	0	0.333333	0	0.666667	0.166667	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
8402e11212eb1eb518f700e6692241e668e86938	160	py	Python	proper_forms/fields/password.py	jpsca/pforms	77c9da93e5224e79bb147aa873f28951e972bb21	[ "MIT" ]	2	2019-10-11T03:13:10.000Z	2019-11-12T10:31:54.000Z	proper_forms/fields/password.py	jpsca/hyperform	d5c450ad8684a853fed26f8c2606877151125a9e	[ "MIT" ]	2	2021-11-18T18:01:28.000Z	2021-11-18T18:03:29.000Z	proper_forms/fields/password.py	jpsca/hyperform	d5c450ad8684a853fed26f8c2606877151125a9e	[ "MIT" ]	null	null	null	from .text import Text __all__ = ("Password", ) class Password(Text): input_type = "password" @property def values(self): return [""]	11.428571	27	0.59375	17	160	5.294118	0.764706	0	0	0	0	0	0	0	0	0	0	0.275	160	13	28	12.307692	0.775862	0	0	0	0	0.1	0	0	0	0	1	0.142857	false	0.428571	0.142857	0.142857	0.714286	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	3
842783606e6dc54dd92789fd191828d8675e8fb3	3,028	py	Python	pyresttest/test_parsing.py	LGordon2/pyresttest	805d59806e73ee4ecdd8d1656c067b467d8468c1	[ "Apache-2.0" ]	null	null	null	pyresttest/test_parsing.py	LGordon2/pyresttest	805d59806e73ee4ecdd8d1656c067b467d8468c1	[ "Apache-2.0" ]	null	null	null	pyresttest/test_parsing.py	LGordon2/pyresttest	805d59806e73ee4ecdd8d1656c067b467d8468c1	[ "Apache-2.0" ]	null	null	null	import unittest from parsing import flatten_dictionaries, lowercase_keys, safe_to_bool class TestParsing(unittest.TestCase): """ Tests for parsing utility functions """ def test_flatten(self): """ Test flattening of lists of dictionaries to single dictionaries """ #Test happy path: list of si...	39.324675	121	0.622853	334	3,028	5.532934	0.236527	0.032468	0.054113	0.061688	0.766775	0.748918	0.691558	0.673701	0.647186	0.647186	0.000443	0.253963	3,028	77	122	39.324675	0.817618	0.178666	0.566038	0	0	0.118078	0	0	0	0.358491	1	0.037736	false	0.056604	0.037736	0	0.09434	0	0	0	0	null	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	3
842f6bba4151ddaa508986b580b51d03df7c915b	1,967	py	Python	specklepy/reduction/filter.py	felixbosco/specklepy	18f1d542f04cbe31fec8675791bf8350a09441c6	[ "MIT" ]	null	null	null	specklepy/reduction/filter.py	felixbosco/specklepy	18f1d542f04cbe31fec8675791bf8350a09441c6	[ "MIT" ]	null	null	null	specklepy/reduction/filter.py	felixbosco/specklepy	18f1d542f04cbe31fec8675791bf8350a09441c6	[ "MIT" ]	2	2020-12-07T14:21:13.000Z	2021-02-26T13:52:52.000Z	import numpy as np def hot_pixel_mask(image, threshold=5): """Identify hot pixels via a 2nd derivative method and create a hot pixel mask with hot pixels `True`. Arguments: image (np.ndarray): Image for which the mask shall be created. threshold (int or float, optional): ...	31.725806	108	0.681749	303	1,967	4.30363	0.29703	0.055215	0.03681	0.048313	0.273773	0.187117	0.121166	0.075153	0.075153	0	0.015954	0.203355	1,967	61	109	32.245902	0.816209	0.259278	0	0	0	0	0	0	0	0	1	0.25	false	0	0.035714	0.107143	0.571429	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
843a5a409fd09a1a40d5931d4a3dec7cbb56ed55	304	py	Python	src/aims_ui/config/base.py	ONSdigital/address-index-ui	57867604744f7bf6e2d596fc649bb8d3bf9baf11	[ "MIT" ]	null	null	null	src/aims_ui/config/base.py	ONSdigital/address-index-ui	57867604744f7bf6e2d596fc649bb8d3bf9baf11	[ "MIT" ]	1	2022-03-11T20:46:21.000Z	2022-03-11T20:46:21.000Z	src/aims_ui/config/base.py	ONSdigital/address-index-ui	57867604744f7bf6e2d596fc649bb8d3bf9baf11	[ "MIT" ]	1	2021-04-11T08:02:33.000Z	2021-04-11T08:02:33.000Z	"""FLASK BASE CONFIG""" import os JSONIFY_PRETTYPRINT_REGULAR = True MAX_CONTENT_LENGTH = 3 * 1000 * 1000 API_AUTH_TYPE = os.getenv('API_AUTH_TYPE') JWT_TOKEN = os.getenv('JWT_TOKEN') API_BSC_AUTH_USERNAME = os.getenv('API_BSC_AUTH_USERNAME') API_BSC_AUTH_PASSWORD = os.getenv('API_BSC_AUTH_PASSWORD')	27.636364	58	0.792763	49	304	4.469388	0.469388	0.146119	0.182648	0.164384	0.164384	0	0	0	0	0	0.032727	0.095395	304	10	59	30.4	0.763636	0.055921	0	0	0	0.227758	0.149466	0	0	0	1	0	false	0.142857	0.142857	0	0.142857	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	3
844de87cb69529d08a457321d88967c96cddb571	126	py	Python	python/modules/calulator.py	itzsoumyadip/vs	acf32cd0bacb26e62854060e0acf5eb41b7a68c8	[ "Unlicense" ]	1	2019-07-05T04:27:05.000Z	2019-07-05T04:27:05.000Z	python/modules/calulator.py	itzsoumyadip/vs	acf32cd0bacb26e62854060e0acf5eb41b7a68c8	[ "Unlicense" ]	null	null	null	python/modules/calulator.py	itzsoumyadip/vs	acf32cd0bacb26e62854060e0acf5eb41b7a68c8	[ "Unlicense" ]	null	null	null	from cal import * a=2 b=4 c=add(a,b) print(c) #6 c=sub(a,b) print(c) #-2 c=div(a,b) print(c) #2.0 c=mul(a,b) print(c) #8	6.3	18	0.555556	36	126	1.944444	0.444444	0.114286	0.4	0.457143	0.257143	0	0	0	0	0	0.067961	0.18254	126	20	19	6.3	0.61165	0.055556	0.363636	0	0	0	0	0	0	0	1	0	false	0	0.090909	0	0.090909	0.363636	0	0	1	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
8455f962b188d3dd947285f4ec1d7911e6a17ff4	154	py	Python	fcapsy/utils.py	rvyjidacek/fcapsy	6d531a337b0e65cac10e41b84d232498f3a05b76	[ "MIT" ]	null	null	null	fcapsy/utils.py	rvyjidacek/fcapsy	6d531a337b0e65cac10e41b84d232498f3a05b76	[ "MIT" ]	null	null	null	fcapsy/utils.py	rvyjidacek/fcapsy	6d531a337b0e65cac10e41b84d232498f3a05b76	[ "MIT" ]	null	null	null	def iterator_mean(iterator): n = 0 sum_value = 0.0 for value in iterator: sum_value += value n += 1 return sum_value / n	17.111111	28	0.564935	23	154	3.608696	0.478261	0.289157	0	0	0	0	0	0	0	0	0.040404	0.357143	154	8	29	19.25	0.79798	0	0	0	0	0	0	0	0	0	1	0.142857	false	0	0	0	0.285714	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
ffcee35cf1c3534a34e74369651cc9daa4c380d7	594	py	Python	discord/ext/vbu/cogs/utils/errors.py	6days9weeks/Novus	a21157f15d7a07669cb75b3f023bd9eedf40e40e	[ "MIT" ]	2	2022-01-22T16:05:42.000Z	2022-01-22T16:06:07.000Z	discord/ext/vbu/cogs/utils/errors.py	6days9weeks/Novus	a21157f15d7a07669cb75b3f023bd9eedf40e40e	[ "MIT" ]	null	null	null	discord/ext/vbu/cogs/utils/errors.py	6days9weeks/Novus	a21157f15d7a07669cb75b3f023bd9eedf40e40e	[ "MIT" ]	null	null	null	from .checks.is_config_set import ConfigNotSet from .checks.meta_command import InvokedMetaCommand from .checks.bot_is_ready import BotNotReady from .checks.is_voter import IsNotVoter from .checks.is_bot_support import NotBotSupport # from .checks.slash_commands import IsSlashCommand, IsNotSlashCommand, BotNotInGuild f...	54	100	0.885522	67	594	7.626866	0.567164	0.136986	0.093933	0	0	0	0	0	0	0	0	0.075758	594	10	101	59.4	0.930783	0.139731	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	3
ffed32329414783f450f769ec9f48fd7111d8997	1,213	py	Python	test/grid_tests.py	basvandenberg/puzzlepy	b0ae79b3cb74e7f4fbb3ac60293e0e4e284e4894	[ "MIT" ]	null	null	null	test/grid_tests.py	basvandenberg/puzzlepy	b0ae79b3cb74e7f4fbb3ac60293e0e4e284e4894	[ "MIT" ]	null	null	null	test/grid_tests.py	basvandenberg/puzzlepy	b0ae79b3cb74e7f4fbb3ac60293e0e4e284e4894	[ "MIT" ]	null	null	null	from nose.tools import * from puzzlepy import grid class TestGrid: def setup(self): self.small_grid = grid.Grid(3, 3) self.grid = grid.Grid(9, 9) def teardown(self): self.small_grid = None self.grid = None def test_top_triangle_coordinates(self): coords = self.sm...	28.209302	59	0.563067	174	1,213	3.804598	0.189655	0.145015	0.190332	0.285498	0.486405	0.329305	0.123867	0	0	0	0.066286	0.278648	1,213	42	60	28.880952	0.690286	0	0	0	0	0	0	0	0	0.551724	1	0.137931	false	0	0.068966	0	0.241379	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	3
fff50b691a5d15c81869dc146714c5b02779c011	5,942	py	Python	educasite/educa/courses/migrations/0001_initial.py	ch1huizong/dj	12009375fc2113acb0a6cb17f6c2146c83595de8	[ "Unlicense" ]	17	2017-08-11T03:42:07.000Z	2020-09-23T15:09:05.000Z	educasite/educa/courses/migrations/0001_initial.py	ch1huizong/dj	12009375fc2113acb0a6cb17f6c2146c83595de8	[ "Unlicense" ]	null	null	null	educasite/educa/courses/migrations/0001_initial.py	ch1huizong/dj	12009375fc2113acb0a6cb17f6c2146c83595de8	[ "Unlicense" ]	13	2017-12-02T06:58:34.000Z	2022-02-01T14:10:14.000Z	# Generated by Django 2.2.3 on 2019-08-23 08:59 import courses.fields from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_...	45.015152	196	0.558903	560	5,942	5.760714	0.173214	0.027278	0.043397	0.068196	0.721327	0.721327	0.689089	0.66522	0.66522	0.66522	0.011015	0.297206	5,942	131	197	45.358779	0.761494	0.007573	0.620968	1	0	0.105004	0.008991	0	0	0	1	0	false	0	0.032258	0	0.064516	0	0	0	0	null	0	0	0	1	0	0	1	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	3
fff9fcaa7d0716aabd7eedcd98e652cd40c7ca0f	520	py	Python	Chapter16/threading_example.py	PacktPublishing/GettingStartedwithPythonfortheInternetofThings-	a5a86ae38b3a4c625dfc1213d32a3f49e1e298c6	[ "MIT" ]	6	2017-05-17T17:51:45.000Z	2021-11-08T13:10:35.000Z	Chapter16/threading_example.py	PacktPublishing/GettingStartedwithPythonfortheInternetofThings-	a5a86ae38b3a4c625dfc1213d32a3f49e1e298c6	[ "MIT" ]	null	null	null	Chapter16/threading_example.py	PacktPublishing/GettingStartedwithPythonfortheInternetofThings-	a5a86ae38b3a4c625dfc1213d32a3f49e1e298c6	[ "MIT" ]	14	2017-05-21T17:59:40.000Z	2021-10-02T16:58:16.000Z	#!/usr/bin/python3 """ Sensor Processing Example """ import threading import time def sensor_processing(string): for num in range(5): time.sleep(5) print("%s: Iteration: %d" %(string, num)) if __name__ == '__main__': thread_1 = threading.Thread(target=sensor_processing, args=("Sensor 1",)) thread_1...	23.636364	75	0.7	70	520	4.942857	0.442857	0.231214	0.182081	0.234104	0.407514	0.407514	0.407514	0	0	0	0.026906	0.142308	520	22	76	23.636364	0.748879	0.082692	0	0	0	0.10515	0	0	0	0	1	0.076923	false	0	0.153846	0	0.230769	0.076923	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
080ed581ae2bf6ebcfc16eeb29d9801529869c89	803	py	Python	skaha/context.py	CHIMEFRB/skaha	e90c5e8a2a55f35a0c99337f754872d1382e5909	[ "MIT" ]	null	null	null	skaha/context.py	CHIMEFRB/skaha	e90c5e8a2a55f35a0c99337f754872d1382e5909	[ "MIT" ]	6	2021-11-02T19:02:47.000Z	2022-02-01T21:39:29.000Z	skaha/context.py	CHIMEFRB/skaha	e90c5e8a2a55f35a0c99337f754872d1382e5909	[ "MIT" ]	null	null	null	"""Get available resources from the skaha server.""" from attr import attrs from skaha.client import SkahaClient @attrs class Context(SkahaClient): """Get available resources from the skaha server.""" def __attrs_post_init__(self): """Initialize the context server URL.""" self.server = self....	25.903226	57	0.581569	80	803	5.7625	0.4	0.156182	0.136659	0.16269	0.253796	0.253796	0.253796	0	0	0	0.003623	0.312578	803	30	58	26.766667	0.831522	0.514321	0	0	0	0.027875	0	0	0	0	1	0.25	false	0	0.25	0	0.75	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	0	3
0821907f9a3a9ab45a0ab69b97959901f59cce22	853	py	Python	hyperbolic/poincare/util.py	smh0109/hyperbolic	d5ac6a9cb0d900a96d3a2499da1bc83257469ef4	[ "MIT" ]	77	2018-08-15T15:13:30.000Z	2022-03-26T09:55:51.000Z	hyperbolic/poincare/util.py	smh0109/hyperbolic	d5ac6a9cb0d900a96d3a2499da1bc83257469ef4	[ "MIT" ]	10	2020-05-22T00:27:15.000Z	2022-01-30T01:38:00.000Z	hyperbolic/poincare/util.py	smh0109/hyperbolic	d5ac6a9cb0d900a96d3a2499da1bc83257469ef4	[ "MIT" ]	25	2018-02-18T16:40:08.000Z	2021-12-30T09:15:10.000Z	import math def radialEuclidToPoincare(r): return 2 * math.atanh(r) def radialPoincareToEuclid(r): return math.tanh(r/2) def poincareToEuclidFactor(hr): return math.cosh(hr/2)**2 / 2 def triangleSideForAngles(adj1, adj2, opposite): ''' Uses the hyperbolic law of cosines, solved for the side length ...	28.433333	77	0.63306	123	853	4.390244	0.341463	0.064815	0.059259	0.074074	0.27037	0.27037	0.151852	0.151852	0.151852	0	0.020062	0.240328	853	29	78	29.413793	0.813272	0.227433	0	0	0	0	0	0	0	0	1	0.294118	false	0	0.058824	0.176471	0.647059	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
0834bcce6793828040cd6fed3c20e91627249a0a	574	py	Python	ckanext/searchterms/tests/mockplugin.py	RTIInternational/ckanext-searchterms	d3b9ec65d86ef6a26a42f1bd9efdeed00be47229	[ "MIT" ]	null	null	null	ckanext/searchterms/tests/mockplugin.py	RTIInternational/ckanext-searchterms	d3b9ec65d86ef6a26a42f1bd9efdeed00be47229	[ "MIT" ]	null	null	null	ckanext/searchterms/tests/mockplugin.py	RTIInternational/ckanext-searchterms	d3b9ec65d86ef6a26a42f1bd9efdeed00be47229	[ "MIT" ]	null	null	null	import ckan.plugins as p from ckanext.searchterms.interfaces import ISearchterms import pandas as pd class SearchtermsMockPlugin(p.SingletonPlugin): """ This plugin is - made available as `searchterms_mock_plugin` by the entrypoints list in setup.py - included in the plugin list in test_plugin.py ...	27.333333	85	0.728223	74	574	5.554054	0.621622	0.029197	0.111922	0.141119	0	0	0	0	0	0	0	0.200348	574	20	86	28.7	0.895425	0.339721	0	0	0	0.025641	0	0	0	0	1	0.222222	false	0	0.333333	0.222222	0.888889	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	1	1	0	0	3
0853ce8ebfdbbf561fb0977475006e3ce980dcbf	2,705	py	Python	auraxium/models/_ability.py	leonhard-s/auraxium	8a1b7fb6e6e1b11334d69875df032ccc6da330bf	[ "MIT" ]	23	2018-12-04T12:47:11.000Z	2022-02-08T05:46:21.000Z	auraxium/models/_ability.py	brhumphe/auraxium	8a1b7fb6e6e1b11334d69875df032ccc6da330bf	[ "MIT" ]	50	2020-04-15T10:55:30.000Z	2022-02-20T11:14:01.000Z	auraxium/models/_ability.py	brhumphe/auraxium	8a1b7fb6e6e1b11334d69875df032ccc6da330bf	[ "MIT" ]	6	2018-12-02T11:55:03.000Z	2020-10-06T05:15:36.000Z	"""Data classes for :mod:`auraxium.ps2._ability`.""" from typing import Optional from .base import RESTPayload __all__ = [ 'AbilityData', 'AbilityTypeData', 'ResourceTypeData' ] # pylint: disable=too-few-public-methods class AbilityData(RESTPayload): """Data class for :class:`auraxium.ps2.Ability`...	29.086022	68	0.679852	342	2,705	5.28655	0.245614	0.225111	0.306969	0.052544	0.706305	0.693031	0.663164	0.598451	0.598451	0.598451	0.023618	0.217375	2,705	92	69	29.402174	0.83042	0.214787	0.612903	0	0	0.020349	0	0	0	0	1	0	false	0	0.032258	0	0.919355	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
f22f64d7448aadfc2f29cf9c3c2092054f7b494a	294	py	Python	scripts/data/gen_test_data.py	chippography/counselors	dba735831c8a6252b80c758c9a0964488c165f9f	[ "MIT" ]	null	null	null	scripts/data/gen_test_data.py	chippography/counselors	dba735831c8a6252b80c758c9a0964488c165f9f	[ "MIT" ]	null	null	null	scripts/data/gen_test_data.py	chippography/counselors	dba735831c8a6252b80c758c9a0964488c165f9f	[ "MIT" ]	null	null	null	#!/usr/bin/env python import yaml # # Counselor file format is a yaml, structured as: # # # - name: Person 1 # loc: London, UK # mobile: +CC 0123456789 (text string) # availability: # - start: YYYY-MM-DD-hh:mm (datetime string) # end: YYYY-MM-DD-hh:mm # - name: Person 2 # ... #	17.294118	49	0.619048	43	294	4.232558	0.767442	0.10989	0.087912	0.10989	0.131868	0	0	0	0	0	0.052402	0.221088	294	16	50	18.375	0.742358	0.860544	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	3
f230f3ef5e484380ccbbc5d685f514320d7e09c1	433	py	Python	exe5/main.py	neitan666/algoritmos2	c9fd141bead0cd171f6b2f5d209833da085a1992	[ "MIT" ]	null	null	null	exe5/main.py	neitan666/algoritmos2	c9fd141bead0cd171f6b2f5d209833da085a1992	[ "MIT" ]	null	null	null	exe5/main.py	neitan666/algoritmos2	c9fd141bead0cd171f6b2f5d209833da085a1992	[ "MIT" ]	null	null	null	from ContaCorrente import ContaCorrente from ContaPoupanca import ContaPoupanca cc = ContaCorrente("neitan",181626,1000) print("---------------") cc.cadastro() print("---------------") cc.depositar(100) print("---------------") cc.cadastro() print("---------------") cp = ContaPoupanca("jair",299302 ,5000) cp.cadas...	21.65	42	0.542725	39	433	6.025641	0.435897	0.221277	0.12766	0.170213	0	0	0	0	0	0	0.065	0.076212	433	19	43	22.789474	0.5225	0	0.647059	0	0	0.265589	0	0	0	0	1	0	false	0	0.117647	0	0.117647	0.411765	0	0	0	null	1	0	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	1	3
f2352056e4d59b7bc9fd013b312a6149e89d3405	486	py	Python	geoscript/feature/field.py	dvntucker/geoscript-py	ea1b6ac584f3813b542204370399bb8f3209d214	[ "MIT" ]	22	2015-01-14T01:37:40.000Z	2021-07-11T14:21:38.000Z	geoscript/feature/field.py	dvntucker/geoscript-py	ea1b6ac584f3813b542204370399bb8f3209d214	[ "MIT" ]	15	2017-10-13T19:21:15.000Z	2021-08-06T08:59:31.000Z	geoscript/feature/field.py	dvntucker/geoscript-py	ea1b6ac584f3813b542204370399bb8f3209d214	[ "MIT" ]	15	2015-01-14T01:38:35.000Z	2020-04-26T02:05:01.000Z	class Field(object): """ A schema field composed of a name and a type. A geometric attribute also contains a :class:`Projection <geoscript.proj.Projection>`. """ def __init__(self, name, typ, proj=None): self.name = name self.typ = typ self.proj = proj def __repr__(self): return '%s: %s' % ...	27	134	0.654321	72	486	4.194444	0.375	0.10596	0.072848	0	0	0	0	0	0	0	0	0.213992	486	17	135	28.588235	0.790576	0.271605	0	0	0	0.017595	0	0	0	0	1	0.3	false	0	0	0.2	0.6	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
f2473028f40b8b19b126c7a73fe92804e9dfc9ce	739	py	Python	checkov/cloudformation/checks/resource/aws/QLDBLedgerPermissionsMode.py	pmalkki/checkov	b6cdf386dd976fe27c16fed6d550756a678a5d7b	[ "Apache-2.0" ]	4,013	2019-12-09T13:16:54.000Z	2022-03-31T14:31:01.000Z	checkov/cloudformation/checks/resource/aws/QLDBLedgerPermissionsMode.py	pmalkki/checkov	b6cdf386dd976fe27c16fed6d550756a678a5d7b	[ "Apache-2.0" ]	1,258	2019-12-17T09:55:51.000Z	2022-03-31T19:17:17.000Z	checkov/cloudformation/checks/resource/aws/QLDBLedgerPermissionsMode.py	pmalkki/checkov	b6cdf386dd976fe27c16fed6d550756a678a5d7b	[ "Apache-2.0" ]	638	2019-12-19T08:57:38.000Z	2022-03-30T21:38:37.000Z	from checkov.common.models.enums import CheckCategories from checkov.cloudformation.checks.resource.base_resource_value_check import BaseResourceValueCheck class QLDBLedgerPermissionsMode(BaseResourceValueCheck): def __init__(self) -> None: name = "Ensure QLDB ledger permissions mode is set to STANDARD" ...	35.190476	106	0.741543	78	739	6.769231	0.602564	0.102273	0.049242	0	0	0	0	0	0	0	0.004902	0.171854	739	20	107	36.95	0.857843	0	0	0	0	0.156969	0.035183	0	0	0	1	0.214286	false	0	0.142857	0.142857	0.571429	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
f247718daadf7fcf36aff4fece7346357cdb84d7	88	py	Python	what_apps/main/urls.py	SlashRoot/WHAT	69e78d01065142446234e77ea7c8c31e3482af29	[ "MIT" ]	null	null	null	what_apps/main/urls.py	SlashRoot/WHAT	69e78d01065142446234e77ea7c8c31e3482af29	[ "MIT" ]	null	null	null	what_apps/main/urls.py	SlashRoot/WHAT	69e78d01065142446234e77ea7c8c31e3482af29	[ "MIT" ]	null	null	null	from django.conf.urls.defaults import * urlpatterns = patterns('main.views', )	17.6	39	0.681818	10	88	6	1	0	0	0	0	0	0	0	0	0	0	0.193182	88	5	40	17.6	0.84507	0	0	0	0	0.11236	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
f2659f484c586eea1699d65e77a8570093cb5c60	257	py	Python	grblc/search/ads/ECHO.py	youngsm/adsgrb	a89b56b371888deb67788a9f5a91300b281784a6	[ "MIT" ]	null	null	null	grblc/search/ads/ECHO.py	youngsm/adsgrb	a89b56b371888deb67788a9f5a91300b281784a6	[ "MIT" ]	null	null	null	grblc/search/ads/ECHO.py	youngsm/adsgrb	a89b56b371888deb67788a9f5a91300b281784a6	[ "MIT" ]	null	null	null	from multiprocessing import Semaphore class SynchronizedEcho: def __init__(self, n=1): self.print_lock = Semaphore(n) def __call__(self, a, b): self.print_lock.acquire() print(a, **b) self.print_lock.release()	21.416667	38	0.63035	32	257	4.71875	0.5625	0.178808	0.258278	0.145695	0.198676	0	0	0	0	0	0.005155	0.245136	257	11	39	23.363636	0.773196	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.125	0	0.5	0.5	0	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	1	3
f2b8d6b4cd524e27a66a1591d1b26b739e973168	202	py	Python	tests/functional/__init__.py	kazanzhy/dbt-core	bc3468e649e2d46e734b1bc3d55c4e216cd3a935	[ "Apache-2.0" ]	799	2021-10-13T21:40:33.000Z	2022-03-31T16:19:31.000Z	tests/functional/__init__.py	kazanzhy/dbt-core	bc3468e649e2d46e734b1bc3d55c4e216cd3a935	[ "Apache-2.0" ]	939	2021-10-13T17:45:24.000Z	2022-03-31T22:09:58.000Z	tests/functional/__init__.py	kazanzhy/dbt-core	bc3468e649e2d46e734b1bc3d55c4e216cd3a935	[ "Apache-2.0" ]	175	2021-10-14T18:59:06.000Z	2022-03-31T16:17:32.000Z	# Functional tests focus on the business requirements of an application. They # only verify the output of an action and do not check the intermediate states # of the system when performing that action.	50.5	78	0.80198	32	202	5.0625	0.78125	0.049383	0	0	0	0	0	0	0	0	0	0.173267	202	3	79	67.333333	0.97006	0.965347	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
4b3aa5332d6ca9eb4f980457b46bb9130bd59b20	4,181	py	Python	tests/test_misc.py	thebigmunch/google-music-utils	a562d36ade47992679daa2a97956773e30f131a1	[ "MIT" ]	2	2019-04-24T09:37:25.000Z	2020-10-22T15:05:26.000Z	tests/test_misc.py	thebigmunch/google-music-utils	a562d36ade47992679daa2a97956773e30f131a1	[ "MIT" ]	1	2020-08-17T13:52:53.000Z	2020-08-17T13:52:53.000Z	tests/test_misc.py	thebigmunch/google-music-utils	a562d36ade47992679daa2a97956773e30f131a1	[ "MIT" ]	1	2020-08-17T13:49:45.000Z	2020-08-17T13:49:45.000Z	import sys from pathlib import Path import pytest from audio_metadata import Tags from google_music_utils.misc import suggest_filename, template_to_filepath @pytest.mark.parametrize( 'metadata, expected', [ ({'title': 'One Time', 'tracknumber': '1'}, '01 One Time'), ({'title': 'One Time', 'tracknumber': '1/7'...	32.664063	89	0.588137	484	4,181	5.022727	0.130165	0.118058	0.098725	0.120938	0.787742	0.780337	0.726039	0.722336	0.672151	0.59564	0.017484	0.165511	4,181	127	90	32.92126	0.679278	0	0.418803	0	0	0.475006	0.067448	0	0	0.025641	1	0.025641	false	0	0.042735	0	0.068376	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
4b40beba76ca4faa4a70557d4173fcac7a81e1a5	28	py	Python	app/settings.py	ttbug/book_store	2c07a4c9e179fd943f67e178bafda9384a666dc0	[ "MIT" ]	null	null	null	app/settings.py	ttbug/book_store	2c07a4c9e179fd943f67e178bafda9384a666dc0	[ "MIT" ]	null	null	null	app/settings.py	ttbug/book_store	2c07a4c9e179fd943f67e178bafda9384a666dc0	[ "MIT" ]	null	null	null	# 每一页显示的数目 NUM_PER_PAGE = 15	14	17	0.785714	5	28	4	1	0	0	0	0	0	0	0	0	0	0.083333	0.142857	28	2	17	14	0.75	0.285714	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
4b45ae3d1b0a15d43c95a108b8a336d464f38d13	588	py	Python	userService/user/models.py	rakshit-singh/PythonMicroservices	65e42c8c9767b8c8068563931be286033bd1c1e2	[ "Apache-2.0" ]	null	null	null	userService/user/models.py	rakshit-singh/PythonMicroservices	65e42c8c9767b8c8068563931be286033bd1c1e2	[ "Apache-2.0" ]	null	null	null	userService/user/models.py	rakshit-singh/PythonMicroservices	65e42c8c9767b8c8068563931be286033bd1c1e2	[ "Apache-2.0" ]	null	null	null	from pickle import TRUE from django.db import models from django.core import validators from .validator import validatePhoneNo class User(models.Model): first_name = models.CharField(max_length=20, blank=False) last_name = models.CharField(max_length=20) email_id = models.EmailField(max_length=220, blank...	30.947368	108	0.736395	79	588	5.278481	0.455696	0.086331	0.129496	0.172662	0.143885	0.143885	0	0	0	0	0.018	0.14966	588	19	109	30.947368	0.816	0	0	0	0	0.028862	0	0	0	0	1	0.090909	false	0	0.363636	0.090909	1	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
4b4a3cb927e6e2e234f2db170e8a21b91a8b7ee8	108	py	Python	PythonScript/PythonIntermedio/cap_7/leerJSON.py	FranklinA/CoursesAndSelfStudy	63a699d6df7eef52190b608e2dd5728f7aa7264a	[ "MIT" ]	null	null	null	PythonScript/PythonIntermedio/cap_7/leerJSON.py	FranklinA/CoursesAndSelfStudy	63a699d6df7eef52190b608e2dd5728f7aa7264a	[ "MIT" ]	null	null	null	PythonScript/PythonIntermedio/cap_7/leerJSON.py	FranklinA/CoursesAndSelfStudy	63a699d6df7eef52190b608e2dd5728f7aa7264a	[ "MIT" ]	null	null	null	# import json with open('note.json') as file: data=json.load(file) print(data) print(data["clientesA"])	10.8	31	0.694444	17	108	4.411765	0.647059	0.24	0	0	0	0	0	0	0	0	0	0.12963	108	9	32	12	0.797872	0	0	0	0	0.168224	0	0	0	0	1	0	false	0	0.2	0	0.2	0.4	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
4b5aecad692dabd04cc4f58821452e95e2a84df9	76	pyw	Python	Alames.pyw	KLZ-0/Alames	cc9af04674706af2ddbfe955046021acf8bedffa	[ "MIT" ]	null	null	null	Alames.pyw	KLZ-0/Alames	cc9af04674706af2ddbfe955046021acf8bedffa	[ "MIT" ]	null	null	null	Alames.pyw	KLZ-0/Alames	cc9af04674706af2ddbfe955046021acf8bedffa	[ "MIT" ]	null	null	null	#!/usr/bin/python3 import sys import Alames ala = Alames.Alames(sys.argv)	10.857143	29	0.736842	12	76	4.666667	0.666667	0	0	0	0	0	0	0	0	0	0.015152	0.131579	76	6	30	12.666667	0.833333	0.223684	0	0	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
4b6e1d475ad5db455a50c2156645cabf1b9b2e4b	1,828	py	Python	app/models.py	Vector254/Job-hunter	4db543da4f6672b7d7d5e835869ae0d9fa1cbe0d	[ "MIT" ]	null	null	null	app/models.py	Vector254/Job-hunter	4db543da4f6672b7d7d5e835869ae0d9fa1cbe0d	[ "MIT" ]	null	null	null	app/models.py	Vector254/Job-hunter	4db543da4f6672b7d7d5e835869ae0d9fa1cbe0d	[ "MIT" ]	1	2020-10-02T14:41:18.000Z	2020-10-02T14:41:18.000Z	from werkzeug.security import generate_password_hash,check_password_hash from flask_login import UserMixin from flask import Flask from . import db from . import login_manager @login_manager.user_loader def load_user(user_id): return User.query.get(int(user_id)) class User(UserMixin, db.Model): __tablen...	23.435897	88	0.647155	226	1,828	5.057522	0.314159	0.062992	0.07874	0.097988	0.155731	0.045494	0	0	0	0	0	0.259847	1,828	77	89	23.74026	0.844789	0.041028	0.086957	1	0	0.021499	0	0	0	0	1	0.152174	false	0.217391	0.108696	0.043478	0.586957	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	1	0	0	1	0	3
4b88b164e8b55076adca8343e71a80e67f9cc8c7	122	py	Python	examples/pathlib-read-text/pathlib_read_text.py	Cyberspirit/pythonic	aeb96fb514c0adb78f8ffbdadd80012a0ff510ed	[ "MIT" ]	2	2022-03-01T09:09:38.000Z	2022-03-25T06:52:58.000Z	examples/pathlib-read-text/pathlib_read_text.py	Cyberspirit/pythonic	aeb96fb514c0adb78f8ffbdadd80012a0ff510ed	[ "MIT" ]	null	null	null	examples/pathlib-read-text/pathlib_read_text.py	Cyberspirit/pythonic	aeb96fb514c0adb78f8ffbdadd80012a0ff510ed	[ "MIT" ]	1	2022-01-17T22:02:32.000Z	2022-01-17T22:02:32.000Z	""" Use pathlib to read text from a file. """ import pathlib text = pathlib.Path('myfile.txt').read_text() print(text)	12.2	45	0.688525	19	122	4.368421	0.684211	0.192771	0	0	0	0	0	0	0	0	0	0.155738	122	9	46	13.555556	0.805825	0.303279	0	0	0	0.12987	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0.333333	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
4bb748b7f9c5e736962ffc989549ec6df30fb714	155	py	Python	Chapter04/tab_trouble.py	PacktPublishing/Daniel-Arbuckles-Mastering-Python	ecd1e78d95aedc832d8f5ceec4794374459e890a	[ "MIT" ]	28	2017-08-10T18:21:52.000Z	2021-11-22T11:13:01.000Z	Chapter04/tab_trouble.py	PacktPublishing/Daniel-Arbuckles-Mastering-Python	ecd1e78d95aedc832d8f5ceec4794374459e890a	[ "MIT" ]	2	2019-06-17T13:22:00.000Z	2019-06-17T14:06:18.000Z	Chapter04/tab_trouble.py	PacktPublishing/Daniel-Arbuckles-Mastering-Python	ecd1e78d95aedc832d8f5ceec4794374459e890a	[ "MIT" ]	20	2017-07-07T16:25:50.000Z	2022-01-11T15:57:18.000Z	def tabs_cause_problems(): with open('test.txt') as f: for line in f: try: print(int(line)) except ValueError: print('Not an integer')	17.222222	31	0.632258	24	155	4	0.875	0	0	0	0	0	0	0	0	0	0	0.23871	155	8	32	19.375	0.813559	0	0	0	0	0.142857	0	0	0	0	0	null	null	0	0	null	null	0.285714	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	3
4bc556b11f88ec7d4ba94e40941a42e6e3c417d2	390	py	Python	tests/config_test.py	aquilax/showtime-cli	a0a89e8e6b201c02305a421f0eb93fdafd85e208	[ "MIT" ]	null	null	null	tests/config_test.py	aquilax/showtime-cli	a0a89e8e6b201c02305a421f0eb93fdafd85e208	[ "MIT" ]	null	null	null	tests/config_test.py	aquilax/showtime-cli	a0a89e8e6b201c02305a421f0eb93fdafd85e208	[ "MIT" ]	null	null	null	"""Showtime Config Module Tests""" from unittest.mock import MagicMock import pytest from showtime.config import Config @pytest.fixture def test_config() -> Config: config = Config() config.read = MagicMock() return config def test_load_file_name(test_config): test_config.load('test_file_name.ini...	19.5	66	0.753846	54	390	5.185185	0.425926	0.142857	0.192857	0.171429	0	0	0	0	0	0	0	0.148718	390	19	67	20.526316	0.843373	0.071795	0	0	0	0.101124	0	0	0	0.090909	1	0.181818	false	0	0.272727	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	null	0	0	0	0	0	0	0	0	1	0	3
29c13b4f149ddae192f00367487344e0c3590c42	196	py	Python	telegram_commands/unwatchdefine.py	SalamiArmy/InfoBoet	71df751e50b4b458db44444ef7d6dfe6f68e648f	[ "Apache-2.0" ]	1	2021-07-14T21:48:48.000Z	2021-07-14T21:48:48.000Z	telegram_commands/unwatchdefine.py	SalamiArmy/InfoBoet	71df751e50b4b458db44444ef7d6dfe6f68e648f	[ "Apache-2.0" ]	6	2017-11-27T06:04:34.000Z	2020-02-19T05:15:02.000Z	telegram_commands/unwatchdefine.py	SalamiArmy/InfoBoet	71df751e50b4b458db44444ef7d6dfe6f68e648f	[ "Apache-2.0" ]	2	2017-08-16T20:26:02.000Z	2020-11-10T18:44:11.000Z	# coding=utf-8 import main watchdefine = main.load_code_as_module('watchdefine') def run(bot, chat_id, user, keyConfig, message, totalResults=1): watchdefine.unwatch(bot, chat_id, message)	21.777778	64	0.760204	28	196	5.142857	0.75	0.097222	0.125	0	0	0	0	0	0	0	0.011628	0.122449	196	8	65	24.5	0.825581	0.061224	0	0	0	0.061111	0	0	0	0	1	0.25	false	0	0.25	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	3
29c83344a28c99b00b8f112b99dcf78ebe05b16b	336	py	Python	docker/web/django-amazon-price-monitor/price_monitor/__init__.py	gomberg5264/pricemointor3	01bcf738af2654a46a684ed19e491ed487b8bf21	[ "MIT" ]	150	2015-03-17T19:27:46.000Z	2022-02-04T10:03:26.000Z	docker/web/django-amazon-price-monitor/price_monitor/__init__.py	gomberg5264/pricemointor3	01bcf738af2654a46a684ed19e491ed487b8bf21	[ "MIT" ]	81	2015-01-28T16:42:49.000Z	2018-10-07T11:48:19.000Z	docker/web/django-amazon-price-monitor/price_monitor/__init__.py	gomberg5264/pricemointor3	01bcf738af2654a46a684ed19e491ed487b8bf21	[ "MIT" ]	41	2015-02-10T20:34:14.000Z	2021-11-01T06:51:26.000Z	"""Dummy init module for the price_monitor package. It will be overwritten when docker mounts the real package.""" def get_version(): """ Returns DEV as version. Just a placeholder while building the web docker image, will be overwritten by mounted docker volume. :return: the version identifier """ ...	30.545455	129	0.720238	47	336	5.106383	0.723404	0.05	0.141667	0	0	0	0	0	0	0	0	0.208333	336	10	130	33.6	0.902256	0.794643	0	0	0	0.068182	0	0	0	0	1	0.5	true	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	1	0	3
4b259595dddcc2997d43cc6b9eda2eb9c4e9f43f	508	py	Python	mooc/views.py	amandasavluchinske/mooc	3d83748b2ddda646597b5a3b57f838ed0fb99b3e	[ "MIT" ]	null	null	null	mooc/views.py	amandasavluchinske/mooc	3d83748b2ddda646597b5a3b57f838ed0fb99b3e	[ "MIT" ]	2	2021-05-07T01:37:50.000Z	2022-02-10T10:08:41.000Z	mooc/views.py	amandasavluchinske/mooc	3d83748b2ddda646597b5a3b57f838ed0fb99b3e	[ "MIT" ]	null	null	null	from django.core.urlresolvers import reverse from django.http import HttpResponse, HttpResponseRedirect from django.shortcuts import render from django.views.generic import * from .models import * #DetailView, FormView, TemplateView, UpdateView, ListView class Home(TemplateView): template_name = 'home.html' d...	26.736842	58	0.757874	60	508	6.316667	0.516667	0.105541	0.126649	0.08971	0.195251	0.195251	0.195251	0.195251	0	0	0	0.15748	508	19	59	26.736842	0.885514	0.110236	0.153846	0	0	0.070796	0	0	0	0	1	0.153846	false	0	0.384615	0.153846	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	1	0	3
d9af22e72e9f21044b5d5b9d114cb3594d085b58	98	py	Python	geophoto_api/apps.py	amatmv/geophoto-backend	56e823e8aa152dc80e40a65a7311c5561c965ee0	[ "MIT" ]	1	2019-11-04T22:03:09.000Z	2019-11-04T22:03:09.000Z	geophoto_api/apps.py	amatmv/GeoPhoto_Server	56e823e8aa152dc80e40a65a7311c5561c965ee0	[ "MIT" ]	null	null	null	geophoto_api/apps.py	amatmv/GeoPhoto_Server	56e823e8aa152dc80e40a65a7311c5561c965ee0	[ "MIT" ]	null	null	null	from django.apps import AppConfig class GeophotoApiConfig(AppConfig): name = 'geophoto_api'	16.333333	35	0.77551	11	98	6.818182	0.909091	0	0	0	0	0	0	0	0	0	0	0.153061	98	5	36	19.6	0.903614	0	0	0	0	0.122449	0	0	0	0	1	0	false	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
d9ceb3df72ea302a00c9f059f159d80488ca105c	151	py	Python	forDemo.py	sumforest/first_python	93d6349bc9741c84174ff4982b04099beab72971	[ "Apache-2.0" ]	null	null	null	forDemo.py	sumforest/first_python	93d6349bc9741c84174ff4982b04099beab72971	[ "Apache-2.0" ]	null	null	null	forDemo.py	sumforest/first_python	93d6349bc9741c84174ff4982b04099beab72971	[ "Apache-2.0" ]	null	null	null	big_factories = ['ByteDance','Alibaba','Tencnet','Google','Meituan'] for index in range (len(big_factories)): print(big_factories[index],end=',')	30.2	68	0.701987	19	151	5.421053	0.736842	0.349515	0	0	0	0	0	0	0	0	0	0.092715	151	4	69	37.75	0.751825	0	0	0	0	0.245033	0	0	0	0	1	0	false	0	0	0	0	0.333333	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
d9e0dce44ea2ae8a88680ce9adec43aada8e8269	501	py	Python	GCL/augmentors/node_dropping.py	lem0nle/PyGCL	340b0201a5edf4236fef4c96b958ff373ceb7f28	[ "Apache-2.0" ]	361	2021-07-09T15:15:23.000Z	2022-03-30T07:08:10.000Z	GCL/augmentors/node_dropping.py	lem0nle/PyGCL	340b0201a5edf4236fef4c96b958ff373ceb7f28	[ "Apache-2.0" ]	25	2021-08-21T11:06:26.000Z	2022-03-29T02:51:56.000Z	GCL/augmentors/node_dropping.py	lem0nle/PyGCL	340b0201a5edf4236fef4c96b958ff373ceb7f28	[ "Apache-2.0" ]	45	2021-08-07T02:59:45.000Z	2022-03-29T05:07:17.000Z	from GCL.augmentors.augmentor import Graph, Augmentor from GCL.augmentors.functional import drop_node class NodeDropping(Augmentor): def __init__(self, pn: float): super(NodeDropping, self).__init__() self.pn = pn def augment(self, g: Graph) -> Graph: x, edge_index, edge_weights = g.u...	31.3125	94	0.706587	69	501	4.826087	0.405797	0.135135	0.195195	0.24024	0	0	0	0	0	0	0.002469	0.191617	501	15	95	33.4	0.819753	0	0	0	0	0	0	0	0	0	1	0.2	false	0	0.2	0	0.6	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
d9f36a7f42c2147b919ae94a79e93744f9f2de72	51	py	Python	eve_auth/__init__.py	bastianh/django-eve-auth	26d7440a41708d46b057f98d60dffe9705c03d8b	[ "BSD-2-Clause" ]	1	2017-09-20T09:15:14.000Z	2017-09-20T09:15:14.000Z	eve_auth/__init__.py	bastianh/django-eve-auth	26d7440a41708d46b057f98d60dffe9705c03d8b	[ "BSD-2-Clause" ]	2	2021-08-19T13:26:04.000Z	2021-08-19T13:26:08.000Z	elmo/eve_auth/__init__.py	stephenswat/eve_lunar_mining_organiser	2f6e84b0a9fc60588ca9bdc2ffd074be7fbf0b12	[ "MIT" ]	2	2017-10-09T20:15:03.000Z	2018-02-03T15:54:53.000Z	default_app_config = 'eve_auth.apps.EveAuthConfig'	25.5	50	0.843137	7	51	5.714286	1	0	0	0	0	0	0	0	0	0	0	0.058824	51	1	51	51	0.833333	0	0	0	0	0.529412	0.529412	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	3
d9f43f38effe4991acf0fe48a3e8b998ab888edc	142	py	Python	authO/apps.py	markvangeffen/public_dashboard	81521f93ab6337e4f90f58722811e0c8358174a8	[ "MIT" ]	null	null	null	authO/apps.py	markvangeffen/public_dashboard	81521f93ab6337e4f90f58722811e0c8358174a8	[ "MIT" ]	null	null	null	authO/apps.py	markvangeffen/public_dashboard	81521f93ab6337e4f90f58722811e0c8358174a8	[ "MIT" ]	null	null	null	from django.apps import AppConfig class AuthoConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'authO'	20.285714	56	0.753521	17	142	6.176471	0.882353	0	0	0	0	0	0	0	0	0	0	0.15493	142	6	57	23.666667	0.875	0	0	0	0	0.239437	0.204225	0	0	0	1	0	false	0	0.25	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	3
d9f4f3b7aa169e51c8d5b97b858301180cffad16	347	py	Python	src/services/__init__.py	panyamred/aaib4-inference	0fc774cdde7055ddc3ed873a36132cf62e78a781	[ "MIT" ]	2	2021-05-27T14:26:50.000Z	2022-02-11T07:06:07.000Z	src/services/__init__.py	panyamred/aaib4-inference	0fc774cdde7055ddc3ed873a36132cf62e78a781	[ "MIT" ]	null	null	null	src/services/__init__.py	panyamred/aaib4-inference	0fc774cdde7055ddc3ed873a36132cf62e78a781	[ "MIT" ]	4	2021-05-27T12:26:19.000Z	2022-02-24T03:44:53.000Z	from .model_loader import Loadmodels ''' load_models pre-loads nmt variable and stores the translator object in a dictionary with keys being the model id''' load_models = Loadmodels() from .fairseq_translate import FairseqTranslateService, FairseqAutoCompleteTranslateService from .fairseq_document_translate import Fair...	69.4	119	0.861671	40	347	7.325	0.725	0.068259	0	0	0	0	0	0	0	0	0	0.097983	347	5	120	69.4	0.936102	0	0	0	0	0	0	0	0	0	1	0	false	0	0.75	0	0.75	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
8a0142270ff7998b2e4ed180a2845a8384ad80fa	203	py	Python	meiduo_mall/meiduo_mall/apps/oauth/urls.py	hhyluor/Code_Repository-	0b692bcd5b00312b5c9fd19d55b50c495d27de2b	[ "MIT" ]	null	null	null	meiduo_mall/meiduo_mall/apps/oauth/urls.py	hhyluor/Code_Repository-	0b692bcd5b00312b5c9fd19d55b50c495d27de2b	[ "MIT" ]	null	null	null	meiduo_mall/meiduo_mall/apps/oauth/urls.py	hhyluor/Code_Repository-	0b692bcd5b00312b5c9fd19d55b50c495d27de2b	[ "MIT" ]	1	2021-12-29T05:43:28.000Z	2021-12-29T05:43:28.000Z	from django.urls import re_path from . import views urlpatterns = [ re_path(r'^qq/authorization/$', views.OAuthURLView.as_view()), re_path(r'^oauth_callback/$', views.OAuthUserView.as_view()), ]	29	66	0.724138	28	203	5.035714	0.607143	0.12766	0.099291	0	0	0	0	0	0	0	0	0.118227	203	7	67	29	0.78771	0	0	0	0	0.176471	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
8a0b702c51d08304e40f23c86f6c721266bec40c	4,825	py	Python	data/dog_names.py	nevin-watkins/dog_breed_app	da5f3f8c67509175f666d8d45b101b902121a055	[ "MIT" ]	null	null	null	data/dog_names.py	nevin-watkins/dog_breed_app	da5f3f8c67509175f666d8d45b101b902121a055	[ "MIT" ]	null	null	null	data/dog_names.py	nevin-watkins/dog_breed_app	da5f3f8c67509175f666d8d45b101b902121a055	[ "MIT" ]	null	null	null	dog_names = ['ages/train/001.Affenpinscher', 'ages/train/002.Afghan_hound', 'ages/train/003.Airedale_terrier', 'ages/train/004.Akita', 'ages/train/005.Alaskan_malamute', 'ages/train/006.American_eskimo_dog', 'ages/train/007.American_foxhound', 'ages/train/008.American_staffordshire_terrier', 'ages/train...	36.278195	54	0.751088	680	4,825	5.117647	0.457353	0.343966	0.091954	0.017241	0	0	0	0	0	0	0.090129	0.082487	4,825	133	55	36.278195	0.695957	0	0	0	0	0.855773	0.842991	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	3
8a0c48d0994334718fa85546e0c9fa00240eece2	466	py	Python	stats/pitching.py	mujinyun/Python-Baseball	fd198c8dd49e018ffd38cc2bc64d8d10d9575a6e	[ "MIT" ]	null	null	null	stats/pitching.py	mujinyun/Python-Baseball	fd198c8dd49e018ffd38cc2bc64d8d10d9575a6e	[ "MIT" ]	null	null	null	stats/pitching.py	mujinyun/Python-Baseball	fd198c8dd49e018ffd38cc2bc64d8d10d9575a6e	[ "MIT" ]	null	null	null	import pandas as pd import matplotlib.pyplot as plt from data import games plays = games[games['type'] == 'play'] strike_outs = plays[plays['event'].str.contains('K')] strike_outs = strike_outs.groupby(['year', 'game_id']).size() strike_outs = strike_outs.reset_index(name='strike_outs') strike_outs = strike_outs.loc[...	31.066667	83	0.725322	71	466	4.56338	0.535211	0.37037	0.197531	0.246914	0	0	0	0	0	0	0	0.087983	466	14	84	33.285714	0.762353	0	0	0	0	0.180258	0	0	0	0	1	0	false	0	0.3	0	0.3	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
8a265384a74e946eb4b6b9f2a186e0825b5ccc99	235	py	Python	smartsim/error/__init__.py	billschereriii/SmartSim	7ef4cffeba23fe19b931bdae819f4de99bb112a3	[ "BSD-2-Clause" ]	1	2022-01-19T21:18:59.000Z	2022-01-19T21:18:59.000Z	smartsim/error/__init__.py	billschereriii/SmartSim	7ef4cffeba23fe19b931bdae819f4de99bb112a3	[ "BSD-2-Clause" ]	null	null	null	smartsim/error/__init__.py	billschereriii/SmartSim	7ef4cffeba23fe19b931bdae819f4de99bb112a3	[ "BSD-2-Clause" ]	null	null	null	from .errors import ( AllocationError, EntityExistsError, LauncherError, ParameterWriterError, ShellError, SmartSimError, SSConfigError, SSInternalError, SSUnsupportedError, UserStrategyError, )	18.076923	25	0.710638	13	235	12.846154	1	0	0	0	0	0	0	0	0	0	0	0.234043	235	12	26	19.583333	0.927778	0	0	0	0	0	0	0	0	0	1	0	true	0	0.083333	0	0.083333	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
8a2caec6ef1c43c72385fd007c09003a7dfc0ad2	77	py	Python	contar.py	rejeitado/primeirocodigo	33586fcf5721a3a8cf372eee480f6105442b08c2	[ "MIT" ]	null	null	null	contar.py	rejeitado/primeirocodigo	33586fcf5721a3a8cf372eee480f6105442b08c2	[ "MIT" ]	null	null	null	contar.py	rejeitado/primeirocodigo	33586fcf5721a3a8cf372eee480f6105442b08c2	[ "MIT" ]	null	null	null	print("este programa conta de um a dez") for x in range(1,11): print(x)	15.4	40	0.649351	16	77	3.125	0.875	0	0	0	0	0	0	0	0	0	0.05	0.220779	77	4	41	19.25	0.783333	0	0	0	0	0.407895	0	0	0	0	1	0	false	0	0	0	0	0.666667	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	3
8a35b96ff2ba9e79f13ba8ec5d23f9e8bbf8b0c8	89	py	Python	kpc/3.py	Lockdef/kyopro-code	2d943a87987af05122c556e173e5108a0c1c77c8	[ "MIT" ]	null	null	null	kpc/3.py	Lockdef/kyopro-code	2d943a87987af05122c556e173e5108a0c1c77c8	[ "MIT" ]	null	null	null	kpc/3.py	Lockdef/kyopro-code	2d943a87987af05122c556e173e5108a0c1c77c8	[ "MIT" ]	null	null	null	a, b, c = map(int, input().split()) if b + c > a: print(b+c - a) else: print(0)	12.714286	35	0.47191	18	89	2.333333	0.611111	0.142857	0.142857	0	0	0	0	0	0	0	0.015873	0.292135	89	6	36	14.833333	0.650794	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0.4	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
8a4e4b94a34dec0a3b7d8a35981b74750995f0c8	301	py	Python	Python3/0692-Top-K-Frequent-Words/soln.py	wyaadarsh/LeetCode-Solutions	3719f5cb059eefd66b83eb8ae990652f4b7fd124	[ "MIT" ]	5	2020-07-24T17:48:59.000Z	2020-12-21T05:56:00.000Z	Python3/0692-Top-K-Frequent-Words/soln.py	zhangyaqi1989/LeetCode-Solutions	2655a1ffc8678ad1de6c24295071308a18c5dc6e	[ "MIT" ]	null	null	null	Python3/0692-Top-K-Frequent-Words/soln.py	zhangyaqi1989/LeetCode-Solutions	2655a1ffc8678ad1de6c24295071308a18c5dc6e	[ "MIT" ]	2	2020-07-24T17:49:01.000Z	2020-08-31T19:57:35.000Z	class Solution: def topKFrequent(self, words, k): """ :type words: List[str] :type k: int :rtype: List[str] """ pairs = [(-cnt, word) for word, cnt in collections.Counter(words).items()] return [word for _, word in heapq.nsmallest(k, pairs)]	33.444444	82	0.551495	37	301	4.459459	0.621622	0.084848	0.133333	0	0	0	0	0	0	0	0	0.305648	301	9	83	33.444444	0.789474	0.17608	0	0	0	0	0	0	0	0	1	0.25	false	0	0	0	0.75	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	0	3
8a5acd24752b19bc38ac6d1e1b6ec692dfcee46b	171	py	Python	main.py	dadvisor/core	31d59707eb9bf33f5bea4a8fb6fb1f0de9a37eba	[ "MIT" ]	null	null	null	main.py	dadvisor/core	31d59707eb9bf33f5bea4a8fb6fb1f0de9a37eba	[ "MIT" ]	null	null	null	main.py	dadvisor/core	31d59707eb9bf33f5bea4a8fb6fb1f0de9a37eba	[ "MIT" ]	null	null	null	""" Start the main program. Use the following command: python3 -u src/main.py """ from dadvisor import run_forever if __name__ == '__main__': run_forever()	15.545455	32	0.678363	23	171	4.608696	0.782609	0.188679	0	0	0	0	0	0	0	0	0.007463	0.216374	171	10	33	17.1	0.783582	0.432749	0	0	0	0.098765	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	3
8a6264e9ffb046453112dee8d3ff09abf3d4afa1	82	py	Python	agc/agc001/agc001a.py	c-yan/atcoder	940e49d576e6a2d734288fadaf368e486480a948	[ "MIT" ]	1	2019-08-21T00:49:34.000Z	2019-08-21T00:49:34.000Z	agc/agc001/agc001a.py	c-yan/atcoder	940e49d576e6a2d734288fadaf368e486480a948	[ "MIT" ]	null	null	null	agc/agc001/agc001a.py	c-yan/atcoder	940e49d576e6a2d734288fadaf368e486480a948	[ "MIT" ]	null	null	null	N = int(input()) L = list(map(int, input().split())) L.sort() print(sum(L[::2]))	13.666667	35	0.54878	15	82	3	0.733333	0.355556	0	0	0	0	0	0	0	0	0.013889	0.121951	82	5	36	16.4	0.611111	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.25	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
8a74b68d374fd51047951dab9f88cf82cbaf0c44	1,406	py	Python	pygimli/testing/test_OSMGetter.py	baender/gimli	eb9a2204669cf11209b9577472f61ac70217a191	[ "Apache-2.0" ]	224	2015-02-20T21:36:24.000Z	2022-03-30T07:27:43.000Z	pygimli/testing/test_OSMGetter.py	baender/gimli	eb9a2204669cf11209b9577472f61ac70217a191	[ "Apache-2.0" ]	341	2015-05-21T14:39:51.000Z	2022-03-31T01:54:07.000Z	pygimli/testing/test_OSMGetter.py	baender/gimli	eb9a2204669cf11209b9577472f61ac70217a191	[ "Apache-2.0" ]	107	2015-01-24T14:40:21.000Z	2022-02-25T12:12:13.000Z	#!/usr/bin/env python # -- coding: utf-8 -- # write a correct test! import unittest from pygimli.viewer.mpl import underlayMap #from pygimli.io import readGPX, readSimpleLatLon import matplotlib.pyplot as plt #import pyproj class TestOSMGetter(unittest.TestCase): def test_OSM(self): #zone = 32 ...	23.04918	85	0.510669	154	1,406	4.603896	0.571429	0.011284	0.059238	0.076164	0.115656	0.115656	0.115656	0.115656	0.115656	0	0.041037	0.341394	1,406	60	86	23.433333	0.724622	0.560455	0	0	0	0.013817	0	0	0	0	1	0.125	false	0.125	0.375	0	0.625	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	0	1	0	3
8a75948a07763acddb10da42d7934ec13b3fb314	517	py	Python	twitch.py	xJavaTheHutt/Twitchtistics	9effbc3f05e307723b4844b864e5a52b0084b347	[ "MIT" ]	null	null	null	twitch.py	xJavaTheHutt/Twitchtistics	9effbc3f05e307723b4844b864e5a52b0084b347	[ "MIT" ]	null	null	null	twitch.py	xJavaTheHutt/Twitchtistics	9effbc3f05e307723b4844b864e5a52b0084b347	[ "MIT" ]	null	null	null	import requests BASE_URL = 'https://api.twitch.tv/helix/' HEADERS = {'Client-ID': 'CLIENT_ID'} INDENT = 2 # Call Twitch API for a response def get_response(query): url = BASE_URL + query response = requests.get(url, headers=HEADERS) return response.json() # Print out JSON def print_response(response): ...	19.884615	56	0.715667	78	517	4.551282	0.423077	0.050704	0.078873	0	0	0	0	0	0	0	0.011442	0.154739	517	25	57	20.68	0.800915	0.087041	0	0	0	0.187633	0.057569	0	0	0	1	0.285714	false	0	0.071429	0.142857	0.571429	0.142857	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
8a8f07af027d3529c2e745107dca5ad8d5fd5952	509	py	Python	Week 6/id_510/Leetcode_51_510.py	larryRishi/algorithm004-05	e60d0b1176acd32a9184b215e36d4122ba0b6263	[ "Apache-2.0" ]	1	2019-10-12T06:48:45.000Z	2019-10-12T06:48:45.000Z	Week 6/id_510/Leetcode_51_510.py	larryRishi/algorithm004-05	e60d0b1176acd32a9184b215e36d4122ba0b6263	[ "Apache-2.0" ]	1	2019-12-01T10:02:03.000Z	2019-12-01T10:02:03.000Z	Week 6/id_510/Leetcode_51_510.py	larryRishi/algorithm004-05	e60d0b1176acd32a9184b215e36d4122ba0b6263	[ "Apache-2.0" ]	null	null	null	""" n 皇后问题研究的是如何将 n 个皇后放置在 n×n 的棋盘上，并且使皇后彼此之间不能相互攻击。上图为 8 皇后问题的一种解法。给定一个整数 n，返回所有不同的 n 皇后问题的解决方案。每一种解法包含一个明确的 n 皇后问题的棋子放置方案，该方案中 'Q' 和 '.' 分别代表了皇后和空位。示例: 输入: 4 输出: [ [".Q..", // 解法 1 "...Q", "Q...", "..Q."], ["..Q.", // 解法 2 "Q...", "...Q", ".Q.."] ] 解释: 4 皇后问题存在两个不同的解法。来源：力扣（LeetCode）链接：...	14.138889	54	0.595285	72	509	4.222222	0.708333	0.032895	0.029605	0	0	0	0	0	0	0	0.012165	0.192534	509	35	55	14.542857	0.725061	0.770138	0	0	0	0	0	0	0	0	1	0.25	false	0.25	0.25	0	0.75	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	0	3
8a96346284b6db805c38fc087dd6f81aea1dc48b	1,565	py	Python	tests/dbus/payloads/test_interface_update_payload.py	skateman/supervisor	0675f66ee6342d46bde03aa667cae43edff320dd	[ "Apache-2.0" ]	null	null	null	tests/dbus/payloads/test_interface_update_payload.py	skateman/supervisor	0675f66ee6342d46bde03aa667cae43edff320dd	[ "Apache-2.0" ]	null	null	null	tests/dbus/payloads/test_interface_update_payload.py	skateman/supervisor	0675f66ee6342d46bde03aa667cae43edff320dd	[ "Apache-2.0" ]	null	null	null	"""Test interface update payload.""" import pytest from supervisor.dbus.const import ConnectionType from supervisor.dbus.payloads.generate import interface_update_payload from supervisor.utils.gdbus import DBus @pytest.mark.asyncio async def test_interface_update_payload_ethernet(network_interface): """Test inte...	43.472222	87	0.693291	204	1,565	5.151961	0.220588	0.038059	0.039962	0.175071	0.730733	0.715509	0.635585	0.631779	0.631779	0.534729	0.051058	0.123962	1,565	35	88	44.714286	0.715536	0.019169	0.56	1	0	0.159231	0	0	0	0.32	1	0	false	0	0.16	0	0.16	0	0	0	0	null	0	0	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	3
8aa1d7641bd94ce432d46dd06786edda9b06f431	106	py	Python	tutorials/W1D5_DimensionalityReduction/solutions/W1D5_Tutorial3_Solution_d27990ad.py	eduardojdiniz/CompNeuro	20269e66540dc4e802273735c97323020ee37406	[ "CC-BY-4.0", "BSD-3-Clause" ]	2,294	2020-05-11T12:05:35.000Z	2022-03-28T21:23:34.000Z	tutorials/W1D5_DimensionalityReduction/solutions/W1D5_Tutorial3_Solution_d27990ad.py	pellet/course-content	bb383857992469e0e7a9c36639ac0d05e842d9bd	[ "CC-BY-4.0", "BSD-3-Clause" ]	629	2020-05-11T15:42:26.000Z	2022-03-29T12:23:35.000Z	tutorials/W1D5_DimensionalityReduction/solutions/W1D5_Tutorial3_Solution_d27990ad.py	pellet/course-content	bb383857992469e0e7a9c36639ac0d05e842d9bd	[ "CC-BY-4.0", "BSD-3-Clause" ]	917	2020-05-11T12:47:53.000Z	2022-03-31T12:14:41.000Z	# Plot the weights of the first principal component with plt.xkcd(): plot_MNIST_weights(evectors[:, 0])	26.5	51	0.754717	16	106	4.875	0.8125	0	0	0	0	0	0	0	0	0	0.010989	0.141509	106	4	52	26.5	0.846154	0.462264	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
8aab5d7bf6dba2f0174cdc49223767daa60bd637	16,046	py	Python	Blender 2.91/2.91/scripts/addons/rigify/utils/widgets_basic.py	calculusrobotics/RNNs-for-Bayesian-State-Estimation	2aacf86d2e447e10c840b4926d4de7bc5e46d9bc	[ "MIT" ]	1	2020-01-18T22:13:24.000Z	2020-01-18T22:13:24.000Z	release/scripts/addons/rigify/utils/widgets_basic.py	ringsce/Rings3D	8059d1e2460fc8d6f101eff8e695f68a99f6671d	[ "Naumen", "Condor-1.1", "MS-PL" ]	null	null	null	release/scripts/addons/rigify/utils/widgets_basic.py	ringsce/Rings3D	8059d1e2460fc8d6f101eff8e695f68a99f6671d	[ "Naumen", "Condor-1.1", "MS-PL" ]	null	null	null	#====================== BEGIN GPL LICENSE BLOCK ====================== # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later vers...	97.841463	2,872	0.632182	2,226	16,046	4.510782	0.172956	0.011353	0.010756	0.011951	0.330744	0.272284	0.24878	0.20974	0.20974	0.20974	0.485712	0.169076	16,046	163	2,873	98.441718	0.267382	0.101209	0.519231	0	0	0.00007	0	0	0	0	1	0.076923	false	0	0.019231	0	0.144231	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
8aafcc7b2f346a0599e29d0a206b163df9a04c21	1,721	py	Python	fastlmm/pyplink/snpset/PositionRange.py	HealthML/FaST-LMM	3c502ce1c693a934b5f2ff7b63a9577e892cb716	[ "Apache-2.0" ]	2	2019-12-10T09:55:40.000Z	2019-12-11T20:58:10.000Z	fastlmmhpc/pyplink/snpset/PositionRange.py	epiproject/FaST-LMM-HPC	5d6df81268aeff19015194ab0718a9163b8d33af	[ "Apache-2.0" ]	null	null	null	fastlmmhpc/pyplink/snpset/PositionRange.py	epiproject/FaST-LMM-HPC	5d6df81268aeff19015194ab0718a9163b8d33af	[ "Apache-2.0" ]	null	null	null	import numpy as SP import subprocess, sys, os.path class PositionRange(object): # implements ISnpSet ''' When given to a bed reader, tells it to read 'nSNPs' starting at index position 'start'. See the Bed class's 'read' method of examples of its use. See __init__.py for specification of interface it...	33.096154	145	0.622313	231	1,721	4.493506	0.380952	0.069364	0.06262	0.049133	0.147399	0.055877	0.055877	0	0	0	0.00321	0.276002	1,721	52	146	33.096154	0.829856	0.364904	0.071429	0	0	0.034102	0.034102	0	0	0	1	0.321429	false	0	0.071429	0.142857	0.678571	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
8abd495be82913913b3b30ae945329b1bbf30be3	1,827	py	Python	xero_python/accounting/models/history_records.py	sromero84/xero-python	89558c0baa8080c3f522701eb1b94f909248dbd7	[ "MIT" ]	null	null	null	xero_python/accounting/models/history_records.py	sromero84/xero-python	89558c0baa8080c3f522701eb1b94f909248dbd7	[ "MIT" ]	null	null	null	xero_python/accounting/models/history_records.py	sromero84/xero-python	89558c0baa8080c3f522701eb1b94f909248dbd7	[ "MIT" ]	null	null	null	# coding: utf-8 """ Accounting API No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 OpenAPI spec version: 2.3.4 Contact: api@xero.com Generated by: https://openapi-generator.tech """ import re # noqa: F401 from xero_pytho...	27.681818	124	0.65572	210	1,827	5.557143	0.37619	0.227935	0.092545	0.065124	0.294773	0.212511	0.180805	0.180805	0.065124	0.065124	0.018464	0.258894	1,827	65	125	28.107692	0.843427	0.421456	0	1	0	0.09292	0	0	0	0	1	0.1875	false	0	0.125	0	0.5625	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	3
76ed98fb605c6b977986bd4eeb0cc460641ffd38	714	py	Python	mayan/apps/mime_types/settings.py	bonitobonita24/Mayan-EDMS	7845fe0e1e83c81f5d227a16116397a3d3883b85	[ "Apache-2.0" ]	343	2015-01-05T14:19:35.000Z	2018-12-10T19:07:48.000Z	mayan/apps/mime_types/settings.py	bonitobonita24/Mayan-EDMS	7845fe0e1e83c81f5d227a16116397a3d3883b85	[ "Apache-2.0" ]	191	2015-01-03T00:48:19.000Z	2018-11-30T09:10:25.000Z	mayan/apps/mime_types/settings.py	bonitobonita24/Mayan-EDMS	7845fe0e1e83c81f5d227a16116397a3d3883b85	[ "Apache-2.0" ]	114	2015-01-08T20:21:05.000Z	2018-12-10T19:07:53.000Z	from django.utils.translation import ugettext_lazy as _ from mayan.apps.smart_settings.classes import SettingNamespace from .literals import ( DEFAULT_MIME_TYPE_BACKEND, DEFAULT_MIME_TYPE_BACKEND_ARGUMENTS ) namespace = SettingNamespace(label=_('MIME types'), name='mime_types') setting_backend = namespace.add_s...	31.043478	71	0.780112	93	714	5.591398	0.408602	0.107692	0.201923	0.169231	0.357692	0.184615	0.184615	0.184615	0	0	0	0.145658	714	22	72	32.454545	0.852459	0	0	0	0	0.228291	0.037815	0	0	0	1	0	false	0.055556	0.166667	0	0.166667	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	3
0a072008fe985eda28a814000bfe0d91a9b7cdcd	1,447	py	Python	ansys/mapdl/core/__init__.py	da1910/pymapdl	305b70b30e61a78011e974ff4cb409ee21f89e13	[ "MIT" ]	null	null	null	ansys/mapdl/core/__init__.py	da1910/pymapdl	305b70b30e61a78011e974ff4cb409ee21f89e13	[ "MIT" ]	null	null	null	ansys/mapdl/core/__init__.py	da1910/pymapdl	305b70b30e61a78011e974ff4cb409ee21f89e13	[ "MIT" ]	null	null	null	import appdirs import os _LOCAL_PORTS = [] # Per contract with Sphinx-Gallery, this method must be available at top level from pyvista.utilities.sphinx_gallery import _get_sg_image_scraper from ansys.mapdl.core._version import __version__ from ansys.mapdl.core.convert import convert_script from ansys.mapdl.core.laun...	32.886364	80	0.77678	214	1,447	5.009346	0.378505	0.130597	0.182836	0.218284	0.184701	0.110075	0	0	0	0	0	0.153421	1,447	43	81	33.651163	0.875102	0.21009	0	0	0	0.032628	0	0	0	0	1	0	false	0.038462	0.5	0	0.5	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	3
0a10a1c8cc53c1cfed4bf6f704857160b947a191	2,509	py	Python	python_scripts/04_basic_parameters_tuning_exercise_02.py	GaelVaroquaux/scikit-learn-tutorial-1	88c45edc32a451a96beed56fdfa1ee64a9fbf7d8	[ "CC0-1.0" ]	43	2019-10-01T13:57:39.000Z	2022-03-10T17:04:47.000Z	python_scripts/04_basic_parameters_tuning_exercise_02.py	GaelVaroquaux/scikit-learn-tutorial-1	88c45edc32a451a96beed56fdfa1ee64a9fbf7d8	[ "CC0-1.0" ]	23	2019-09-19T10:00:01.000Z	2020-06-09T13:13:29.000Z	python_scripts/04_basic_parameters_tuning_exercise_02.py	GaelVaroquaux/scikit-learn-tutorial-1	88c45edc32a451a96beed56fdfa1ee64a9fbf7d8	[ "CC0-1.0" ]	25	2019-09-25T17:02:10.000Z	2020-04-16T02:16:00.000Z	# --- # jupyter: # jupytext: # formats: python_scripts//py:percent,notebooks//ipynb # text_representation: # extension: .py # format_name: percent # format_version: '1.2' # jupytext_version: 1.2.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 #...	29.517647	79	0.73057	335	2,509	5.39403	0.495522	0.036525	0.009961	0.014388	0.036525	0.036525	0.036525	0.036525	0	0	0.01244	0.166999	2,509	84	80	29.869048	0.852153	0.707055	0	0	0	0.095729	0	0	0.011905	0	1	0	false	0	0.533333	0	0.533333	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	1	0	0	0	0	0	1	0	1	0	3
0a1aed0efbfaca6451c0bfd7a04e431d6ffd6f75	12,286	py	Python	tests/plotting/bokeh/testcurveplot.py	lelatbones/holoviews	c94deaaf6250821ff30b764893e598ce24be98c0	[ "BSD-3-Clause" ]	null	null	null	tests/plotting/bokeh/testcurveplot.py	lelatbones/holoviews	c94deaaf6250821ff30b764893e598ce24be98c0	[ "BSD-3-Clause" ]	null	null	null	tests/plotting/bokeh/testcurveplot.py	lelatbones/holoviews	c94deaaf6250821ff30b764893e598ce24be98c0	[ "BSD-3-Clause" ]	null	null	null	import datetime as dt from unittest import SkipTest import numpy as np from holoviews.core import NdOverlay, HoloMap, DynamicMap from holoviews.core.options import Cycle, Palette from holoviews.core.util import pd, basestring from holoviews.element import Curve from holoviews.plotting.util import rgb2hex from holovie...	49.943089	115	0.618346	1,606	12,286	4.562267	0.113948	0.069606	0.075201	0.088713	0.773987	0.75174	0.71025	0.697557	0.68036	0.642418	0.039743	0.225867	12,286	245	116	50.146939	0.730628	0.005942	0.5	0	0	0.063473	0	0	0	0.2	1	0.128571	false	0.004762	0.057143	0	0.190476	0	0	0	0	null	0	0	0	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
0a2ee0f9e708f785ec8474bca2c3191ee8594ceb	18	py	Python	hello_pi/__init__.py	samlet/hello-pi	d40249c963f58d2314799428632b85b077345bed	[ "MIT" ]	null	null	null	hello_pi/__init__.py	samlet/hello-pi	d40249c963f58d2314799428632b85b077345bed	[ "MIT" ]	null	null	null	hello_pi/__init__.py	samlet/hello-pi	d40249c963f58d2314799428632b85b077345bed	[ "MIT" ]	null	null	null	name = "hello_pi"	9	17	0.666667	3	18	3.666667	1	0	0	0	0	0	0	0	0	0	0	0.166667	18	1	18	18	0.733333	0	0	0	0	0.444444	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	3
0a586d84e299ae4bd0a7e1c920174dc36499c30a	2,666	py	Python	src/pycalendar/outputfilter.py	LaudateCorpus1/ccs-pycalendar	4c7e0513a8a7a19ab4602ff2a82af968b78c413e	[ "Apache-2.0" ]	72	2016-08-14T17:45:09.000Z	2021-11-16T06:15:11.000Z	src/pycalendar/outputfilter.py	ass-a2s/ccs-pycalendar	7aad34797f055875d4207615e6ad493707037f6a	[ "Apache-2.0" ]	3	2017-04-06T18:16:01.000Z	2020-05-14T05:57:00.000Z	src/pycalendar/outputfilter.py	ass-a2s/ccs-pycalendar	7aad34797f055875d4207615e6ad493707037f6a	[ "Apache-2.0" ]	26	2016-09-14T16:27:00.000Z	2022-03-26T11:42:20.000Z	## # Copyright (c) 2007-2013 Cyrus Daboo. All rights reserved. # # 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 ...	29.955056	77	0.665416	319	2,666	5.54232	0.366771	0.10181	0.039593	0.018665	0.1069	0.035068	0.035068	0	0	0	0.006141	0.267067	2,666	88	78	30.295455	0.898669	0.300825	0.125	0	0	0	0	0	0	0	1	0.291667	false	0	0	0.145833	0.5625	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3
0a68159a03c4445bdbba2fb60a6193ec5768eca1	70	py	Python	osziplotter/modelcontroller/Enums.py	SinTh0r4s/WifiOsziPlotter	882a2e4b17250c6b55c27e435a8c6a650b14fde0	[ "MIT" ]	null	null	null	osziplotter/modelcontroller/Enums.py	SinTh0r4s/WifiOsziPlotter	882a2e4b17250c6b55c27e435a8c6a650b14fde0	[ "MIT" ]	null	null	null	osziplotter/modelcontroller/Enums.py	SinTh0r4s/WifiOsziPlotter	882a2e4b17250c6b55c27e435a8c6a650b14fde0	[ "MIT" ]	null	null	null	class Domain: time: str = "Time" frequency: str = "Frequency"	17.5	32	0.614286	8	70	5.375	0.625	0	0	0	0	0	0	0	0	0	0	0.257143	70	3	33	23.333333	0.826923	0	0	0	0	0.185714	0	0	0	0	1	0	true	0	0	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	3
0a701ad1b711133c6f361c7dafff58bfe97b4907	11,184	py	Python	etk/unit_tests/test_html_content_extractor.py	varuniyer/etk	57dc2ed2bfef0d9914747bed41fdc4123bfe4423	[ "MIT" ]	null	null	null	etk/unit_tests/test_html_content_extractor.py	varuniyer/etk	57dc2ed2bfef0d9914747bed41fdc4123bfe4423	[ "MIT" ]	null	null	null	etk/unit_tests/test_html_content_extractor.py	varuniyer/etk	57dc2ed2bfef0d9914747bed41fdc4123bfe4423	[ "MIT" ]	2	2018-11-08T00:20:44.000Z	2018-11-08T00:36:05.000Z	import unittest import json from etk.extractors.html_content_extractor import HTMLContentExtractor, Strategy class TestGlossaryExtractor(unittest.TestCase): def test_html_content_extractor(self) -> None: hce = HTMLContentExtractor() with open('etk/unit_tests/ground_truth/sample_html.jl', 'r') as...	338.909091	4,806	0.70878	1,912	11,184	4.118724	0.257322	0.037587	0.032381	0.020317	0.580825	0.565206	0.552762	0.548571	0.522413	0.522413	0.119595	0.206009	11,184	33	4,807	338.909091	0.76723	0.323498	0	0	0.15	0.861563	0.013883	0	0	0.15	1	0.05	false	0	0.15	0	0.25	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	3
6a566a9336e45b2e8e0fd5aeaf33f74d578bc086	457	py	Python	xos/tosca/tests/allObserverTests.py	xmaruto/mcord	3678a3d10c3703c2b73f396c293faebf0c82a4f4	[ "Apache-2.0" ]	null	null	null	xos/tosca/tests/allObserverTests.py	xmaruto/mcord	3678a3d10c3703c2b73f396c293faebf0c82a4f4	[ "Apache-2.0" ]	5	2020-06-05T17:47:15.000Z	2021-09-23T23:21:27.000Z	xos/tosca/tests/allObserverTests.py	pan2za/xos	c2a4da2ccaa12360b2718be303b247866aefdfe6	[ "Apache-2.0" ]	null	null	null	from observerVMTest import ObserverVMTest from observerContainerTest import ObserverContainerTest from observerImageTest import ObserverImageTest from observerUserTest import ObserverUserTest from observerSiteTest import ObserverSiteTest from observerSliceTest import ObserverSliceTest if __name__ == "__main__": Ob...	30.466667	55	0.833698	33	457	11.30303	0.333333	0	0	0	0	0	0	0	0	0	0	0.129103	457	14	56	32.642857	0.937186	0	0	0	0	0.017505	0	0	0	0	1	0	true	0	0.461538	0	0.461538	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	3
6a691ae538f9605ecfc7bf9f0caed7cf7cef3385	241	py	Python	coreir/base.py	cristian-mattarei/pycoreir	a5933c1599253267f70ccd820dd6375922bbac1e	[ "BSD-3-Clause" ]	null	null	null	coreir/base.py	cristian-mattarei/pycoreir	a5933c1599253267f70ccd820dd6375922bbac1e	[ "BSD-3-Clause" ]	null	null	null	coreir/base.py	cristian-mattarei/pycoreir	a5933c1599253267f70ccd820dd6375922bbac1e	[ "BSD-3-Clause" ]	null	null	null	import ctypes as ct from .lib import libcoreir_c import coreir class CoreIRType(object): def __init__(self, ptr, context): self.ptr = ptr assert isinstance(context, coreir.context.Context) self.context = context	24.1	58	0.701245	31	241	5.290323	0.612903	0.085366	0	0	0	0	0	0	0	0	0	0.224066	241	9	59	26.777778	0.877005	0	0	0	0	0	0	0	0	0.125	1	0.125	false	0	0.375	0	0.625	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
6a6afa48f4b645fbcec030245477af356ebb14cf	234	py	Python	Lib/site-packages/cloudpickle/__init__.py	jsturtz/env	d523b0be3345f883a727679d58ff29efb4389d16	[ "bzip2-1.0.6" ]	null	null	null	Lib/site-packages/cloudpickle/__init__.py	jsturtz/env	d523b0be3345f883a727679d58ff29efb4389d16	[ "bzip2-1.0.6" ]	null	null	null	Lib/site-packages/cloudpickle/__init__.py	jsturtz/env	d523b0be3345f883a727679d58ff29efb4389d16	[ "bzip2-1.0.6" ]	null	null	null	from __future__ import absolute_import import sys import pickle from cloudpickle.cloudpickle import * if sys.version_info[:2] >= (3, 8): from cloudpickle.cloudpickle_fast import CloudPickler, dumps, dump __version__ = '1.2.2'	19.5	70	0.769231	32	234	5.28125	0.5625	0.177515	0.307692	0	0	0	0	0	0	0	0.03	0.145299	234	11	71	21.272727	0.815	0	0	0	0	0.021368	0	0	0	0	1	0	false	0	0.714286	0	0.714286	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	3
6a6fcf805bcfeb7b8746e11d54ce55a555b2c207	990	py	Python	Exercise7/exercise5/car.py	Ssteevooh/Object-Oriented-Programming	be39b2721f43605bb214d7acc89128455c48c80d	[ "MIT" ]	null	null	null	Exercise7/exercise5/car.py	Ssteevooh/Object-Oriented-Programming	be39b2721f43605bb214d7acc89128455c48c80d	[ "MIT" ]	null	null	null	Exercise7/exercise5/car.py	Ssteevooh/Object-Oriented-Programming	be39b2721f43605bb214d7acc89128455c48c80d	[ "MIT" ]	null	null	null	# File name: car.py # Author: Steve Hommy # Description: Create a Car Class class Car: def __init__(self, brand, model, boot_size): self.__brand = brand self.__model = model self.__boot_size = boot_size self.__owner = None def set_brand(self): self.__brand = input("Wha...	22.5	64	0.60101	131	990	4.114504	0.229008	0.148423	0.111317	0.06308	0.051948	0	0	0	0	0	0	0.29697	990	43	65	23.023256	0.774425	0.069697	0	0	0	0.224646	0	0	0	0	1	0.344828	false	0	0	0.172414	0.551724	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	3

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