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train · 253k rows

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0f3658ef326902c5347a0f758c47e22adbd01c01	128	py	Python	src/pytree/binarytree/node/__init__.py	RESPULTE/PyTree	fea511d1414f536a1a523b8b01645ae763083027	[ "MIT" ]	null	null	null	src/pytree/binarytree/node/__init__.py	RESPULTE/PyTree	fea511d1414f536a1a523b8b01645ae763083027	[ "MIT" ]	null	null	null	src/pytree/binarytree/node/__init__.py	RESPULTE/PyTree	fea511d1414f536a1a523b8b01645ae763083027	[ "MIT" ]	null	null	null	from .rbt_node import RBT_Node from .splay_node import Splay_Node from .avl_node import AVL_Node from .bst_node import BST_Node	25.6	34	0.84375	24	128	4.166667	0.291667	0.4	0	0	0	0	0	0	0	0	0	0.125	128	4	35	32	0.892857	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0f38c4bca4a03270776e43d257c76c0ff64f7d61	2,628	py	Python	test/Base/test_base.py	rustam-azimov/CFPQ_PyAlgo	1f40c300a2dfeded5297ca48d0ddde26cfa8887c	[ "Apache-2.0" ]	11	2020-08-16T15:29:32.000Z	2022-01-26T12:45:39.000Z	test/Base/test_base.py	rustam-azimov/CFPQ_PyAlgo	1f40c300a2dfeded5297ca48d0ddde26cfa8887c	[ "Apache-2.0" ]	4	2021-02-10T13:35:54.000Z	2021-06-04T07:14:32.000Z	test/Base/test_base.py	rustam-azimov/CFPQ_PyAlgo	1f40c300a2dfeded5297ca48d0ddde26cfa8887c	[ "Apache-2.0" ]	3	2021-02-23T16:08:38.000Z	2021-12-10T12:47:06.000Z	import pytest from cfpq_data import cfg_from_txt from src.graph.graph import Graph from src.problems.Base.Base import BaseProblem from src.utils.useful_paths import LOCAL_CFPQ_DATA from src.problems.utils import ResultAlgo @pytest.mark.CI def test_binary_tree(algo): test_data_path = LOCAL_CFPQ_DATA.joinpath('bi...	32.444444	73	0.743151	391	2,628	4.703325	0.12532	0.078303	0.117455	0.097879	0.854812	0.813486	0.78956	0.78956	0.709081	0.665579	0.006631	0.139269	2,628	80	74	32.85	0.806366	0	0.6	0	0	0.090183	0	0	0	0	0	0.1	1	0.1	false	0	0.1	0	0.2	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7e46a1228d30bac81a6359b793082174c76af16a	5,029	py	Python	optimization/utility/layers.py	langestefan/5LIL0_lab1_keyword	395d8ba1c44f35883b8127f2c37b1efceb15e50d	[ "MIT" ]	null	null	null	optimization/utility/layers.py	langestefan/5LIL0_lab1_keyword	395d8ba1c44f35883b8127f2c37b1efceb15e50d	[ "MIT" ]	null	null	null	optimization/utility/layers.py	langestefan/5LIL0_lab1_keyword	395d8ba1c44f35883b8127f2c37b1efceb15e50d	[ "MIT" ]	null	null	null	import os import sys import math import torch import torch.nn as nn import torch.nn.functional as F from .quantizers import quantize, wraparound, masking class QConv2d(nn.Conv2d): """ QConv2d simulates the reduced-precision forward pass of nn.Conv2d by quantizing inputs, weights and outputs. Also the wei...	48.355769	105	0.635514	642	5,029	4.70405	0.179128	0.046358	0.050993	0.031788	0.868874	0.856291	0.843709	0.82053	0.792053	0.792053	0.0045	0.248757	5,029	103	106	48.825243	0.794865	0.145158	0.647059	0	0	0.137125	0.02431	0	0	0	0	0	1	0.088235	false	0	0.102941	0	0.279412	0.029412	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7e76e9d3dc6b59e077db6dcfbb944b1e10c21aa0	2,435	py	Python	electric_slide/scripts/algorithm.py	markreynoso/electric_slide	90c34ac4a6f16e9b7eb6fa2ad1112226dcf4769b	[ "MIT" ]	null	null	null	electric_slide/scripts/algorithm.py	markreynoso/electric_slide	90c34ac4a6f16e9b7eb6fa2ad1112226dcf4769b	[ "MIT" ]	14	2017-11-11T02:04:17.000Z	2020-01-06T18:51:47.000Z	electric_slide/scripts/algorithm.py	markreynoso/electric_slide	90c34ac4a6f16e9b7eb6fa2ad1112226dcf4769b	[ "MIT" ]	1	2020-09-06T13:57:25.000Z	2020-09-06T13:57:25.000Z	"""Algorithms for the AI of solving a sliding puzzle.""" from electric_slide.scripts.priority_q import Node, PriorityQ def manhattan_distance(board_state, size=3): """Sum up the manhattan distance of all numbers in the board.""" diff = 0 for y in range(size): for x in range(size): idx...	37.461538	72	0.603696	305	2,435	4.747541	0.285246	0.046961	0.058011	0.044199	0.776243	0.776243	0.716851	0.716851	0.716851	0.716851	0.002347	0.300205	2,435	64	73	38.046875	0.847418	0.172074	0.723404	0	0	0	0	0	0	0	0	0	1	0.06383	false	0	0.021277	0	0.148936	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7e87832ca4666495527f5e3d6fefde9aafc8f940	66	py	Python	Inheritance/Exercises/02. zoo/project/snake.py	geodimitrov/PythonOOP_SoftUni	f1c6718c878b618b3ab3f174cd4d187bd178940b	[ "MIT" ]	1	2021-06-30T11:53:44.000Z	2021-06-30T11:53:44.000Z	Inheritance/Exercises/02. zoo/project/snake.py	geodimitrov/PythonOOP_SoftUni	f1c6718c878b618b3ab3f174cd4d187bd178940b	[ "MIT" ]	null	null	null	Inheritance/Exercises/02. zoo/project/snake.py	geodimitrov/PythonOOP_SoftUni	f1c6718c878b618b3ab3f174cd4d187bd178940b	[ "MIT" ]	null	null	null	from project.reptile import Reptile class Snake(Reptile): pass	22	35	0.787879	9	66	5.777778	0.777778	0	0	0	0	0	0	0	0	0	0	0.151515	66	3	36	22	0.928571	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
0e44449338cf3ff3bb3d124ef22c8f7bbca760a5	19	py	Python	tests/mod_ext2/__init__.py	fossabot/extendable	c01f8ffa452df6ce5222244e76f9a6615b7dfc0b	[ "MIT" ]	137	2017-06-08T07:58:53.000Z	2022-01-20T06:29:51.000Z	src/extractor/__init__.py	WhiteRobe/iscopy	41b660dda2765db96e3ae19864610f9773e5eadf	[ "MIT" ]	27	2021-02-05T20:56:05.000Z	2022-03-07T04:11:57.000Z	src/extractor/__init__.py	WhiteRobe/iscopy	41b660dda2765db96e3ae19864610f9773e5eadf	[ "MIT" ]	24	2017-10-12T03:25:00.000Z	2022-01-20T06:29:58.000Z	from . import base	9.5	18	0.736842	3	19	4.666667	1	0	0	0	0	0	0	0	0	0	0	0.210526	19	1	19	19	0.933333	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0e8a7823a31dc54a79b7c4f7e93d976a20c6655b	9,976	py	Python	PythonLearn/opencv/findcontours.py	OKKyu/PythonLearn	48dc4cc2a1a34d99b09f8d37a5566d448dcf987c	[ "MIT" ]	null	null	null	PythonLearn/opencv/findcontours.py	OKKyu/PythonLearn	48dc4cc2a1a34d99b09f8d37a5566d448dcf987c	[ "MIT" ]	null	null	null	PythonLearn/opencv/findcontours.py	OKKyu/PythonLearn	48dc4cc2a1a34d99b09f8d37a5566d448dcf987c	[ "MIT" ]	null	null	null	#! python3 # -- coding:utf-8 -- import cv2 import sys, traceback import numpy as np import matplotlib.pyplot as plt def findContours(imgName, drawMode, minArea): try: img = cv2.imread(imgName,cv2.IMREAD_COLOR) if img is None: print("no file reading...") sys.exit(...	36.408759	98	0.556034	1,221	9,976	4.469287	0.134316	0.030786	0.076965	0.032985	0.790178	0.761591	0.761591	0.743999	0.743999	0.730804	0.078855	0.313553	9,976	273	99	36.542125	0.71802	0.071872	0.767196	0	0	0.045892	0	0	0	0	0	0	1	0.031746	false	0	0.021164	0	0.05291	0.132275	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7ec368e9537b26ecd3b5d610321b400312fc1097	22	py	Python	dag_executor/Step/__init__.py	GennadiiTurutin/dag_executor	ddc7eab1e0e98753309e245247ac00e465e52ec1	[ "MIT" ]	null	null	null	dag_executor/Step/__init__.py	GennadiiTurutin/dag_executor	ddc7eab1e0e98753309e245247ac00e465e52ec1	[ "MIT" ]	null	null	null	dag_executor/Step/__init__.py	GennadiiTurutin/dag_executor	ddc7eab1e0e98753309e245247ac00e465e52ec1	[ "MIT" ]	null	null	null	from .step import Step	22	22	0.818182	4	22	4.5	0.75	0	0	0	0	0	0	0	0	0	0	0.136364	22	1	22	22	0.947368	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
7ef2137eda770d8fbe72cf7150d091a786f54dd4	1,445	py	Python	2017/day05.py	gcalmettes/AdventOfCode2017	374347c981b603981b7d0b21dad3fc594b126c82	[ "MIT" ]	1	2021-12-12T22:59:49.000Z	2021-12-12T22:59:49.000Z	2017/day05.py	gcalmettes/AdventOfCode2017	374347c981b603981b7d0b21dad3fc594b126c82	[ "MIT" ]	null	null	null	2017/day05.py	gcalmettes/AdventOfCode2017	374347c981b603981b7d0b21dad3fc594b126c82	[ "MIT" ]	1	2019-12-03T05:37:49.000Z	2019-12-03T05:37:49.000Z	""" http://adventofcode.com/2017/day/5 """ def escapeMaze(numList): count = 1 instructions = numList[:] currentPos = 0 currentJump = instructions[currentPos] nextPos = currentPos+currentJump while ((currentPos>=0) & (currentPos<len(numList))): instructions[currentPos]+=1 #update jump ...	25.803571	80	0.619377	148	1,445	5.986486	0.344595	0.074492	0.148984	0.180587	0.717833	0.717833	0.717833	0.717833	0.717833	0.717833	0.024645	0.269896	1,445	55	81	26.272727	0.815166	0.110727	0.666667	0	0	0.018883	0	0	0	0	0	0	1	0.051282	false	0	0	0	0.102564	0.051282	0	0	0	null	0	0	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7d2ef170359ccd2d83638d183234b1e8ae50eb54	198	py	Python	src/optimizers.py	krypto-i9/static-asl-interpreter	4cfbb92627757273cc0fd6456410a21bee8c1e80	[ "BSD-3-Clause" ]	null	null	null	src/optimizers.py	krypto-i9/static-asl-interpreter	4cfbb92627757273cc0fd6456410a21bee8c1e80	[ "BSD-3-Clause" ]	null	null	null	src/optimizers.py	krypto-i9/static-asl-interpreter	4cfbb92627757273cc0fd6456410a21bee8c1e80	[ "BSD-3-Clause" ]	null	null	null	import torch.optim as optim class Optimizer: def adamW(net, LR): return optim.AdamW(net.parameters(), lr=LR) def adam(net, LR): return optim.Adam(net.parameters(), lr=LR)	19.8	51	0.641414	29	198	4.37931	0.448276	0.125984	0.173228	0.251969	0	0	0	0	0	0	0	0.227273	198	9	52	22	0.830065	0	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.166667	0.333333	1	0	1	0	0	null	0	0	1	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	1	1	0	6
7d388ac4381ddd05a8fb406efaadf6388d5f7618	179	py	Python	complexnet/__init__.py	chuanjiangcui/urus-mri-recon	120f8fe000b9c39318dbdede91494a6b42a5edc3	[ "MIT" ]	15	2020-04-08T07:00:31.000Z	2021-12-08T12:01:29.000Z	complexnet/__init__.py	chuanjiangcui/urus-mri-recon	120f8fe000b9c39318dbdede91494a6b42a5edc3	[ "MIT" ]	null	null	null	complexnet/__init__.py	chuanjiangcui/urus-mri-recon	120f8fe000b9c39318dbdede91494a6b42a5edc3	[ "MIT" ]	7	2020-01-14T02:18:51.000Z	2021-10-16T14:26:51.000Z	from .cmplxconv import * from .cmplxdropout import * from .cmplxfc import * from .cmplxmodrelu import * from .cmplxupsample import * from .radialbn2 import * from .zrelu import *	22.375	28	0.765363	21	179	6.52381	0.428571	0.437956	0	0	0	0	0	0	0	0	0.006623	0.156425	179	7	29	25.571429	0.900662	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
add11e41faeb057e52f3f2a4a87b144a35d78788	5,445	py	Python	tests/test_keys.py	paulskinau/python-xmlsec	73f74466495969a50ceb1266cef1cc55c8cefe89	[ "MIT" ]	null	null	null	tests/test_keys.py	paulskinau/python-xmlsec	73f74466495969a50ceb1266cef1cc55c8cefe89	[ "MIT" ]	null	null	null	tests/test_keys.py	paulskinau/python-xmlsec	73f74466495969a50ceb1266cef1cc55c8cefe89	[ "MIT" ]	1	2020-01-22T12:37:56.000Z	2020-01-22T12:37:56.000Z	from tests import base import copy import xmlsec consts = xmlsec.constants class TestKeys(base.TestMemoryLeaks): def test_key_from_memory(self): key = xmlsec.Key.from_memory(self.load("rsakey.pem"), format=consts.KeyDataFormatPem) self.assertIsNotNone(key) def test_key_from_memory_with_ba...	40.333333	124	0.695133	700	5,445	5.181429	0.088571	0.050179	0.075269	0.162393	0.848084	0.809209	0.714916	0.669699	0.653984	0.612903	0.002926	0.184022	5,445	134	125	40.634328	0.813414	0	0.436893	0	0	0.046281	0	0	0	0	0	0.23301	1	0.242718	false	0	0.029126	0	0.291262	0	0	0	0	null	0	0	1	1	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	0	6
bc36742cc2b9937c14f5192d9caa87c5dc94e7b8	47	py	Python	components/wifi_provisioning/python/security/__init__.py	chenqy2018/esp-va-sdk	2196a16586ded4186161fefba2113b6cacf7eaf7	[ "MIT-0" ]	null	null	null	components/wifi_provisioning/python/security/__init__.py	chenqy2018/esp-va-sdk	2196a16586ded4186161fefba2113b6cacf7eaf7	[ "MIT-0" ]	null	null	null	components/wifi_provisioning/python/security/__init__.py	chenqy2018/esp-va-sdk	2196a16586ded4186161fefba2113b6cacf7eaf7	[ "MIT-0" ]	null	null	null	from security1 import* from security0 import*	11.75	22	0.808511	6	47	6.333333	0.666667	0	0	0	0	0	0	0	0	0	0.05	0.148936	47	3	23	15.666667	0.9	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
bc374a288c5ea00dcd7d8cec0773aa960caa84b9	49	py	Python	movieknight/models/__init__.py	nfearnley/MovieKnight	cc88050b03c1e759580e3ded3c27e3efbf4925e2	[ "MIT" ]	null	null	null	movieknight/models/__init__.py	nfearnley/MovieKnight	cc88050b03c1e759580e3ded3c27e3efbf4925e2	[ "MIT" ]	null	null	null	movieknight/models/__init__.py	nfearnley/MovieKnight	cc88050b03c1e759580e3ded3c27e3efbf4925e2	[ "MIT" ]	null	null	null	from .base import Base from .movies import Movie	16.333333	25	0.795918	8	49	4.875	0.625	0	0	0	0	0	0	0	0	0	0	0.163265	49	2	26	24.5	0.95122	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
70b9974d571374d6c2afa99505427daa8bece968	34	py	Python	CrashCourse/cOOP/hellom/some_file.py	atabaksahraei/Python-for-Developer	6972b7c9a500312ce6a359817feb5f8461391078	[ "MIT" ]	null	null	null	CrashCourse/cOOP/hellom/some_file.py	atabaksahraei/Python-for-Developer	6972b7c9a500312ce6a359817feb5f8461391078	[ "MIT" ]	null	null	null	CrashCourse/cOOP/hellom/some_file.py	atabaksahraei/Python-for-Developer	6972b7c9a500312ce6a359817feb5f8461391078	[ "MIT" ]	null	null	null	def f(): print("Function f()")	17	25	0.529412	5	34	3.6	0.8	0	0	0	0	0	0	0	0	0	0	0.205882	34	2	25	17	0.666667	0	0	0	0	0.342857	0	0	0	0	0	0	1	0.5	true	0	0	0	0.5	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	1	6
cb3294d55ab8fbc69ce8a5e0e842d89f85e36e54	37	py	Python	EditSQL/error_detector.py	Deliangus/MISP	8632b5ea120f8385825a08eb930232d3ea74c426	[ "MIT" ]	54	2019-10-07T03:36:25.000Z	2021-12-27T02:11:11.000Z	EditSQL/error_detector.py	Deliangus/MISP	8632b5ea120f8385825a08eb930232d3ea74c426	[ "MIT" ]	1	2021-08-13T07:48:15.000Z	2021-08-31T01:30:12.000Z	EditSQL/error_detector.py	Deliangus/MISP	8632b5ea120f8385825a08eb930232d3ea74c426	[ "MIT" ]	4	2020-01-29T17:38:28.000Z	2021-12-10T19:09:37.000Z	from MISP_SQL.error_detector import *	37	37	0.864865	6	37	5	1	0	0	0	0	0	0	0	0	0	0	0.081081	37	1	37	37	0.882353	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cb3b7bae2cca4101addd6ae05591bf5c287803ae	191	py	Python	tests/net/hostname.py	dem4ply/chibi	1f13db8200e8e60bbb839436d4c995d6b6220957	[ "WTFPL" ]	null	null	null	tests/net/hostname.py	dem4ply/chibi	1f13db8200e8e60bbb839436d4c995d6b6220957	[ "WTFPL" ]	null	null	null	tests/net/hostname.py	dem4ply/chibi	1f13db8200e8e60bbb839436d4c995d6b6220957	[ "WTFPL" ]	null	null	null	from unittest import TestCase from chibi.net.hostname import get_hostname class Test_get_hostname( TestCase ): def test_get_hostname( self ): self.assertTrue( get_hostname() )	21.222222	43	0.753927	25	191	5.52	0.52	0.318841	0.217391	0	0	0	0	0	0	0	0	0.17801	191	8	44	23.875	0.878981	0	0	0	0	0	0	0	0	0	0	0.2	1	0.2	false	0	0.4	0	0.8	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
cb3e5a12fe5c42944b24233700cbdb1bc282e359	37,349	py	Python	scripts/feature_ablation_study.py	rpo19/BLINK	a9b62d08aa3ce4958e9bec62888c67c4eee18533	[ "MIT" ]	null	null	null	scripts/feature_ablation_study.py	rpo19/BLINK	a9b62d08aa3ce4958e9bec62888c67c4eee18533	[ "MIT" ]	null	null	null	scripts/feature_ablation_study.py	rpo19/BLINK	a9b62d08aa3ce4958e9bec62888c67c4eee18533	[ "MIT" ]	null	null	null	import pandas as pd import numpy as np from sklearn.preprocessing import StandardScaler from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split from sklearn.pipeline import make_pipeline from sklearn.metrics import f1_score import pickle from sklearn.metrics import cla...	33.708484	213	0.52909	4,221	37,349	4.222459	0.057569	0.058127	0.046962	0.052236	0.8475	0.820513	0.793357	0.767323	0.741794	0.695169	0.026896	0.338001	37,349	1,108	214	33.708484	0.693953	0.031139	0.632056	0	0.004032	0.39293	0.060621	0	0	0	0.000903	0	1	0.001008	false	0.001008	0.013105	0	0.014113	0.042339	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
cb615634591b320aff95a2e6ed6041e1dcb67015	30	py	Python	src/pycalc/__init__.py	Tigxy/PyCalc	7ab71a8d249d3afd864b88809ab6ab62c4b23433	[ "MIT" ]	null	null	null	src/pycalc/__init__.py	Tigxy/PyCalc	7ab71a8d249d3afd864b88809ab6ab62c4b23433	[ "MIT" ]	null	null	null	src/pycalc/__init__.py	Tigxy/PyCalc	7ab71a8d249d3afd864b88809ab6ab62c4b23433	[ "MIT" ]	null	null	null	from .calculator import solve	15	29	0.833333	4	30	6.25	1	0	0	0	0	0	0	0	0	0	0	0.133333	30	1	30	30	0.961538	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cb7e21bfc5129d64c7519f807b219b82ff3890bc	102	py	Python	pbrl/competitive/__init__.py	jjccero/rliccd	748bf92a1d9e401172a0d9c435ea75a8e37c6538	[ "MIT" ]	null	null	null	pbrl/competitive/__init__.py	jjccero/rliccd	748bf92a1d9e401172a0d9c435ea75a8e37c6538	[ "MIT" ]	null	null	null	pbrl/competitive/__init__.py	jjccero/rliccd	748bf92a1d9e401172a0d9c435ea75a8e37c6538	[ "MIT" ]	1	2021-10-12T12:43:58.000Z	2021-10-12T12:43:58.000Z	from pbrl.competitive.pbt import CompetitivePBT from pbrl.competitive.runner import CompetitiveRunner	34	53	0.882353	12	102	7.5	0.666667	0.177778	0.422222	0	0	0	0	0	0	0	0	0.078431	102	2	54	51	0.957447	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cb97bc74be98498be7ac86c52f9401ec9855c145	112	py	Python	python/gigasecond/gigasecond.py	Victor-Chinewubeze/algorithms-exercism	34669348762eef69b68a2f43260ab10ac1c4eb2a	[ "MIT" ]	1	2020-04-16T23:06:33.000Z	2020-04-16T23:06:33.000Z	python/gigasecond/gigasecond.py	Victor-Chinewubeze/algorithms-exercism	34669348762eef69b68a2f43260ab10ac1c4eb2a	[ "MIT" ]	7	2021-05-08T11:46:15.000Z	2021-05-10T19:31:11.000Z	python/gigasecond/gigasecond.py	Victor-Chinewubeze/algorithms-exercism	34669348762eef69b68a2f43260ab10ac1c4eb2a	[ "MIT" ]	1	2020-01-09T16:33:39.000Z	2020-01-09T16:33:39.000Z	from datetime import datetime, timedelta def add(moment): return moment + timedelta(seconds = 1000000000)	18.666667	51	0.758929	13	112	6.538462	0.769231	0	0	0	0	0	0	0	0	0	0.107527	0.169643	112	5	52	22.4	0.806452	0	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
1dc56470c9c49eef8392ccb12c51ff261a0603bc	126	py	Python	icbd/type_analyzer/tests/imports1.py	kmod/icbd	9636564eb3993afa07c6220d589bbd1991923d74	[ "MIT" ]	7	2015-04-06T15:17:13.000Z	2020-10-21T04:57:00.000Z	icbd/type_analyzer/tests/imports1.py	kmod/icbd	9636564eb3993afa07c6220d589bbd1991923d74	[ "MIT" ]	null	null	null	icbd/type_analyzer/tests/imports1.py	kmod/icbd	9636564eb3993afa07c6220d589bbd1991923d74	[ "MIT" ]	4	2016-05-16T17:53:08.000Z	2020-11-28T17:18:50.000Z	import import_test import_test.a # e 0 import_test.b # 12 module 'b' import_test.c # 12 module 'c' import_test.dup # 12 int	15.75	29	0.730159	25	126	3.48	0.44	0.574713	0	0	0	0	0	0	0	0	0.067308	0.174603	126	7	30	18	0.769231	0.301587	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
1df8718f96d0ca3b6b867f2d868d79a8c995ba6b	205	py	Python	main.py	mineshpatel1/wordle	14f24adad80078c6caee7cab6920b642ca481e7c	[ "MIT" ]	null	null	null	main.py	mineshpatel1/wordle	14f24adad80078c6caee7cab6920b642ca481e7c	[ "MIT" ]	null	null	null	main.py	mineshpatel1/wordle	14f24adad80078c6caee7cab6920b642ca481e7c	[ "MIT" ]	null	null	null	import time from utils import log from web_drivers.nyt_web_driver import NYTWebDriver from web_drivers.quordle_web_driver import QuordleWebDriver if __name__ == '__main__': QuordleWebDriver().play()	22.777778	59	0.819512	27	205	5.703704	0.592593	0.090909	0.181818	0	0	0	0	0	0	0	0	0.121951	205	8	60	25.625	0.855556	0	0	0	0	0.039024	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
381c695acdb2521c19baf4a4f777fdf5976dba96	94	py	Python	autumn/plots/streamlit/__init__.py	malanchak/AuTuMN	0cbd006d1f15da414d02eed44e48bb5c06f0802e	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	autumn/plots/streamlit/__init__.py	malanchak/AuTuMN	0cbd006d1f15da414d02eed44e48bb5c06f0802e	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	autumn/plots/streamlit/__init__.py	malanchak/AuTuMN	0cbd006d1f15da414d02eed44e48bb5c06f0802e	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	from .run_mcmc_plots import run_mcmc_plots from .run_scenario_plots import run_scenario_plots	31.333333	50	0.893617	16	94	4.75	0.375	0.184211	0.315789	0	0	0	0	0	0	0	0	0.085106	94	2	51	47	0.883721	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
69e01bf2e1b274002c1889f9ebba67740b23e011	219	py	Python	test/data/__init__.py	davemarr621/interval_tree_1	1624413449e57b7fb5ae8a2de72d2fbd460f19e0	[ "Apache-2.0" ]	488	2015-01-12T18:43:32.000Z	2022-03-30T02:19:50.000Z	test/data/__init__.py	davemarr621/interval_tree_1	1624413449e57b7fb5ae8a2de72d2fbd460f19e0	[ "Apache-2.0" ]	81	2015-01-01T03:13:38.000Z	2022-03-21T22:45:16.000Z	test/data/__init__.py	davemarr621/interval_tree_1	1624413449e57b7fb5ae8a2de72d2fbd460f19e0	[ "Apache-2.0" ]	93	2015-03-09T15:45:30.000Z	2022-03-05T07:27:02.000Z	from . import issue4 from . import issue4_result from . import issue25_orig from . import issue41_orig from . import ivs0 from . import ivs1 from . import ivs1_float_copy_structure from . import ivs2 from . import ivs3	21.9	39	0.794521	33	219	5.090909	0.424242	0.535714	0.190476	0	0	0	0	0	0	0	0.060109	0.164384	219	9	40	24.333333	0.857924	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0e15c25639b491a29344473ef417f628072d3f3b	188	py	Python	skeleton/blueprints/default/default.py	jrdiniz/flask-skeleton	9d6c21d4089a0e07757647342c8d6dc55410a2f1	[ "Apache-2.0" ]	1	2020-04-25T03:44:36.000Z	2020-04-25T03:44:36.000Z	skeleton/blueprints/default/default.py	jrdiniz/flask-skeleton	9d6c21d4089a0e07757647342c8d6dc55410a2f1	[ "Apache-2.0" ]	null	null	null	skeleton/blueprints/default/default.py	jrdiniz/flask-skeleton	9d6c21d4089a0e07757647342c8d6dc55410a2f1	[ "Apache-2.0" ]	null	null	null	from flask import render_template from flask import current_app def index(): current_app.logger.info('Logging message from blueprint default') return render_template('index.html')	31.333333	69	0.792553	26	188	5.576923	0.653846	0.124138	0.206897	0	0	0	0	0	0	0	0	0.132979	188	6	70	31.333333	0.889571	0	0	0	0	0.253968	0	0	0	0	0	0	1	0.2	true	0	0.4	0	0.8	0.2	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
389ebe19dd94fa68ef2e7515b19f60c15072cb88	172	py	Python	checksit/rules/processors.py	cedadev/checksit	e2ef9c7287c2b3bf19cdad6c73ba0c368bb7bf60	[ "BSD-3-Clause" ]	null	null	null	checksit/rules/processors.py	cedadev/checksit	e2ef9c7287c2b3bf19cdad6c73ba0c368bb7bf60	[ "BSD-3-Clause" ]	4	2022-03-31T22:36:01.000Z	2022-03-31T22:41:24.000Z	checksit/rules/processors.py	cedadev/checksit	e2ef9c7287c2b3bf19cdad6c73ba0c368bb7bf60	[ "BSD-3-Clause" ]	null	null	null	import os def lowercase(value): return value.lower() def uppercase(value): return value.upper() def no_extension(value): return os.path.splitext(value)[0]	13.230769	37	0.697674	24	172	4.958333	0.583333	0.277311	0.268908	0	0	0	0	0	0	0	0.007092	0.180233	172	13	37	13.230769	0.836879	0	0	0	0	0	0	0	0	0	0	0	1	0.428571	false	0	0.142857	0.428571	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
38a9d315033f1ff28d9d143724798764d52b7d63	167	py	Python	vitlab/trainer/resnet/base.py	tor4z/ViTLab	7e3d12df71f64a4376eef36e580882c7614f44ad	[ "MIT" ]	null	null	null	vitlab/trainer/resnet/base.py	tor4z/ViTLab	7e3d12df71f64a4376eef36e580882c7614f44ad	[ "MIT" ]	null	null	null	vitlab/trainer/resnet/base.py	tor4z/ViTLab	7e3d12df71f64a4376eef36e580882c7614f44ad	[ "MIT" ]	null	null	null	from ..base import BaseTrainer class ResNetBaseTrainer(BaseTrainer): def __init__(self, opt, device_id=None): super().__init__(opt, device_id=device_id)	23.857143	50	0.736527	21	167	5.333333	0.666667	0.214286	0.196429	0	0	0	0	0	0	0	0	0.155689	167	6	51	27.833333	0.794326	0	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.25	0	0.75	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	0	6
38ae7fd7611632279c027dab1eafdf35b2559414	424	py	Python	bitmovin_api_sdk/encoding/configurations/audio/dolby_digital_plus/__init__.py	bitmovin/bitmovin-api-sdk-python	5a85147669c84b8ca411cf2d4dbdddc92d85bbe7	[ "MIT" ]	11	2019-07-03T10:41:16.000Z	2022-02-25T21:48:06.000Z	bitmovin_api_sdk/encoding/configurations/audio/dolby_digital_plus/__init__.py	bitmovin/bitmovin-api-sdk-python	5a85147669c84b8ca411cf2d4dbdddc92d85bbe7	[ "MIT" ]	8	2019-11-23T00:01:25.000Z	2021-04-29T12:30:31.000Z	bitmovin_api_sdk/encoding/configurations/audio/dolby_digital_plus/__init__.py	bitmovin/bitmovin-api-sdk-python	5a85147669c84b8ca411cf2d4dbdddc92d85bbe7	[ "MIT" ]	13	2020-01-02T14:58:18.000Z	2022-03-26T12:10:30.000Z	from bitmovin_api_sdk.encoding.configurations.audio.dolby_digital_plus.dolby_digital_plus_api import DolbyDigitalPlusApi from bitmovin_api_sdk.encoding.configurations.audio.dolby_digital_plus.customdata.customdata_api import CustomdataApi from bitmovin_api_sdk.encoding.configurations.audio.dolby_digital_plus.dolby_digi...	106	184	0.933962	51	424	7.313725	0.372549	0.160858	0.214477	0.144772	0.576408	0.576408	0.576408	0.576408	0.576408	0.576408	0	0.028302	424	3	185	141.333333	0.90534	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
38b66f0464504f6f9a7c17905d2954cc86a9411f	3,549	py	Python	tests/test_api/test_infra_downstream.py	mowangdk/huskar	7692fbc5672a5ae6e2a33616c493466a7137f8cd	[ "MIT" ]	59	2019-10-31T10:50:10.000Z	2021-11-26T04:32:25.000Z	tests/test_api/test_infra_downstream.py	mowangdk/huskar	7692fbc5672a5ae6e2a33616c493466a7137f8cd	[ "MIT" ]	5	2019-10-31T10:37:30.000Z	2020-03-02T06:45:46.000Z	tests/test_api/test_infra_downstream.py	mowangdk/huskar	7692fbc5672a5ae6e2a33616c493466a7137f8cd	[ "MIT" ]	9	2019-10-31T10:35:00.000Z	2019-12-01T14:13:58.000Z	from __future__ import absolute_import from huskar_api.models.infra import InfraDownstream from ..utils import assert_response_ok def test_get_infra_downstream(client, test_token): InfraDownstream.bindmany() \ .bind('base.foo', 'redis', 'cache-1', 'idcs', 'alta1', 'url', 'redis.100010') \ ...	42.759036	79	0.625247	429	3,549	4.986014	0.130536	0.209444	0.143058	0.176718	0.85554	0.845722	0.779804	0.661057	0.604956	0.58345	0.038062	0.185686	3,549	82	80	43.280488	0.702076	0.005917	0.569444	0	0	0.343262	0.08227	0	0	0	0	0.513889	1	0.013889	false	0	0.041667	0	0.055556	0	0	0	0	null	1	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	6
38cd7c28ccbd20d03ddfd14ff358b1df1162784b	26	py	Python	services/ecp/__init__.py	thegreathippo/calamity	a58a42a7dd828159f5730c9b49aa474bce6ee51a	[ "MIT" ]	null	null	null	services/ecp/__init__.py	thegreathippo/calamity	a58a42a7dd828159f5730c9b49aa474bce6ee51a	[ "MIT" ]	null	null	null	services/ecp/__init__.py	thegreathippo/calamity	a58a42a7dd828159f5730c9b49aa474bce6ee51a	[ "MIT" ]	null	null	null	from .core import Cycle	6.5	23	0.730769	4	26	4.75	1	0	0	0	0	0	0	0	0	0	0	0.230769	26	3	24	8.666667	0.95	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2a07c1166ba9f247be5c82c8448f45e09a57316b	27	py	Python	LPBv2/vision/__init__.py	TierynnB/LeaguePyBot	2e96230b9dc24d185ddc0c6086d79f7d01e7a643	[ "MIT" ]	45	2020-11-28T04:45:45.000Z	2022-03-31T05:53:37.000Z	LPBv2/vision/__init__.py	TierynnB/LeaguePyBot	2e96230b9dc24d185ddc0c6086d79f7d01e7a643	[ "MIT" ]	13	2021-01-15T00:50:10.000Z	2022-02-02T15:16:49.000Z	vision/__init__.py	JackGoldsworth/Vision	084330bec340596167944b623bc7b8d7d9c26b01	[ "MIT" ]	14	2020-12-21T10:03:31.000Z	2021-11-22T04:03:03.000Z	from .vision import Vision	13.5	26	0.814815	4	27	5.5	0.75	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	0.956522	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2a4d905ab1b857b9a0e09f7299b54848c3f98f21	42	py	Python	snowplow_tracker/celery/__init__.py	snowplow/snowplow-python-tracker	67642d247cefc8019a3584e89ae9159cc09b4844	[ "Apache-2.0" ]	33	2015-02-07T12:25:32.000Z	2022-03-08T14:54:51.000Z	snowplow_tracker/celery/__init__.py	snowplow/snowplow-python-tracker	67642d247cefc8019a3584e89ae9159cc09b4844	[ "Apache-2.0" ]	145	2015-01-02T19:15:40.000Z	2022-03-04T16:12:21.000Z	snowplow_tracker/celery/__init__.py	snowplow/snowplow-python-tracker	67642d247cefc8019a3584e89ae9159cc09b4844	[ "Apache-2.0" ]	56	2015-01-02T19:04:20.000Z	2021-11-29T14:29:54.000Z	from .celery_emitter import CeleryEmitter	21	41	0.880952	5	42	7.2	1	0	0	0	0	0	0	0	0	0	0	0.095238	42	1	42	42	0.947368	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2a5c9e1ea8946830797f9c254bc01f3466041a84	37	py	Python	kalasearch/__init__.py	oeddyo/kalasearch-python-sdk	bbb0cd44bd19d23ee4f1a3ea0aa5599e3e1fd38b	[ "MIT" ]	9	2020-08-19T06:48:25.000Z	2022-02-05T07:24:30.000Z	kalasearch/__init__.py	oeddyo/kalasearch-python-sdk	bbb0cd44bd19d23ee4f1a3ea0aa5599e3e1fd38b	[ "MIT" ]	1	2020-08-24T00:55:32.000Z	2020-08-24T00:55:32.000Z	kalasearch/__init__.py	oeddyo/kalasearch-python-sdk	bbb0cd44bd19d23ee4f1a3ea0aa5599e3e1fd38b	[ "MIT" ]	4	2021-11-09T20:41:13.000Z	2022-03-22T09:13:54.000Z	from kalasearch.client import Client	18.5	36	0.864865	5	37	6.4	0.8	0	0	0	0	0	0	0	0	0	0	0.108108	37	1	37	37	0.969697	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
aad8b890f6718df7645a99de7c2debc1cf66c34a	2,861	py	Python	test/common/test_print.py	thatch/BitSwanPump	98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f	[ "BSD-3-Clause" ]	17	2019-02-14T09:26:03.000Z	2022-03-11T09:23:52.000Z	test/common/test_print.py	thatch/BitSwanPump	98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f	[ "BSD-3-Clause" ]	91	2019-05-06T18:59:02.000Z	2022-01-11T06:22:32.000Z	test/common/test_print.py	thatch/BitSwanPump	98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f	[ "BSD-3-Clause" ]	10	2019-04-23T08:48:58.000Z	2022-02-13T14:24:28.000Z	import sys from unittest.mock import patch, call import bspump.common import bspump.unittest class TestPrintSink(bspump.unittest.ProcessorTestCase): @patch('builtins.print') def test_print_sink(self, mocked_print): events = [ (None, "Please, print this to me"), ] self.set_up_processor(bspump.common.Prin...	19.201342	68	0.700454	335	2,861	5.841791	0.176119	0.06745	0.095043	0.110373	0.828309	0.789474	0.774144	0.774144	0.752172	0.607563	0.001264	0.17057	2,861	148	69	19.331081	0.82343	0	0.564815	0	0	0.092625	0.028312	0	0	0	0	0.111111	1	0.055556	false	0	0.037037	0	0.148148	0.203704	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
2aea2020577d9626a47302cc418970d241d60219	612	py	Python	erasure/contracts.py	ankitchiplunkar/erasure.py	9b0e24883dbb3db8fe9cf2b4c4fb8cce583442a3	[ "MIT" ]	4	2019-12-17T02:27:44.000Z	2021-05-07T12:26:03.000Z	erasure/contracts.py	ankitchiplunkar/erasure.py	9b0e24883dbb3db8fe9cf2b4c4fb8cce583442a3	[ "MIT" ]	9	2019-12-12T18:47:19.000Z	2019-12-29T21:49:59.000Z	erasure/contracts.py	ankitchiplunkar/erasure.py	9b0e24883dbb3db8fe9cf2b4c4fb8cce583442a3	[ "MIT" ]	null	null	null	CONTRACTS = { 'mainnet': { "v1.2.0": { "FeedFactory": "0xEF078E8330f99186079BE1d2ee6b4a5d6f23E8F1", "ErasureUsers": "0x789D0082B20A929D6fB64EB4c10c68e827AAB7aB" } }, 'rinkeby': { "v1.2.0": { "FeedFactory": "0xDE19C478b2eD51668e36704b2341b81DEBFe2c4...	29.142857	72	0.588235	25	612	14.4	0.6	0.025	0.033333	0.125	0	0	0	0	0	0	0.373272	0.29085	612	20	73	30.6	0.456221	0	0.15	0	0	0.583333	0.411765	0	0	0.411765	0	0	1	0	false	0	0	0	0	0	1	0	1	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	1	null	0	1	0	0	0	0	0	0	0	0	0	6
2af668a233fc8794e7f2220b009ecfc3ad64218d	514	py	Python	temboo/core/Library/Zendesk/Macros/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	7	2016-03-07T02:07:21.000Z	2022-01-21T02:22:41.000Z	temboo/core/Library/Zendesk/Macros/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	null	null	null	temboo/core/Library/Zendesk/Macros/__init__.py	jordanemedlock/psychtruths	52e09033ade9608bd5143129f8a1bfac22d634dd	[ "Apache-2.0" ]	8	2016-06-14T06:01:11.000Z	2020-04-22T09:21:44.000Z	from temboo.Library.Zendesk.Macros.ApplyMacroToAllTickets import ApplyMacroToAllTickets, ApplyMacroToAllTicketsInputSet, ApplyMacroToAllTicketsResultSet, ApplyMacroToAllTicketsChoreographyExecution from temboo.Library.Zendesk.Macros.ApplyMacroToTicket import ApplyMacroToTicket, ApplyMacroToTicketInputSet, ApplyMacroToT...	128.5	197	0.918288	33	514	14.30303	0.545455	0.063559	0.108051	0.152542	0.190678	0	0	0	0	0	0	0.040856	514	3	198	171.333333	0.957404	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2d731ad6536ad67493f492915555d1ec1d48ddb7	3,618	py	Python	openprocurement/tender/core/tests/tender.py	raccoongang/openprocurement.tender.core	9497d4a9f7c0cd4a0c95efad6425d224d5634ddb	[ "Apache-2.0" ]	1	2021-11-18T16:34:33.000Z	2021-11-18T16:34:33.000Z	openprocurement/tender/core/tests/tender.py	raccoongang/openprocurement.tender.core	9497d4a9f7c0cd4a0c95efad6425d224d5634ddb	[ "Apache-2.0" ]	30	2017-03-22T12:16:17.000Z	2018-08-08T04:27:28.000Z	openprocurement/tender/core/tests/tender.py	raccoongang/openprocurement.tender.core	9497d4a9f7c0cd4a0c95efad6425d224d5634ddb	[ "Apache-2.0" ]	13	2017-02-22T15:59:17.000Z	2018-05-11T06:17:28.000Z	# -- coding: utf-8 -- import os import unittest from openprocurement.tender.core.tests.base import BaseWebTest class TenderResourceTest(BaseWebTest): relative_to = os.path.dirname(__file__) def test_empty_listing(self): response = self.app.get('/tenders') self.assertEqual(response.status, '...	45.797468	99	0.65948	414	3,618	5.669082	0.202899	0.153387	0.235194	0.061355	0.794205	0.783553	0.767363	0.731998	0.68726	0.666809	0.022438	0.174682	3,618	79	100	45.797468	0.763563	0.005804	0.609375	0	0.015625	0.235539	0.080367	0	0	0	0	0.65625	1	0.03125	false	0	0.046875	0	0.125	0	0	0	0	null	0	1	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	6
2d9145d844f8158bb50dcb034584013c92cf4868	319	py	Python	carsus/io/cmfgen/__init__.py	parikshit14/carsus	3f67e8068829829361d7b1da9020e1fde9dcac2e	[ "BSD-3-Clause" ]	null	null	null	carsus/io/cmfgen/__init__.py	parikshit14/carsus	3f67e8068829829361d7b1da9020e1fde9dcac2e	[ "BSD-3-Clause" ]	null	null	null	carsus/io/cmfgen/__init__.py	parikshit14/carsus	3f67e8068829829361d7b1da9020e1fde9dcac2e	[ "BSD-3-Clause" ]	null	null	null	from carsus.io.cmfgen.base import (CMFGENOscillatorStrengthsParser, CMFGENEnergyLevelsParser, CMFGENCollisionalStrengthsParser, CMFGENPhotoionizationCrossSectionParser) from carsus.io.cmfgen.hdfgen import hdf_dump	63.8	75	0.601881	18	319	10.611111	0.722222	0.104712	0.125654	0.188482	0	0	0	0	0	0	0	0.363636	319	5	76	63.8	0.940887	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	1	null	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
2d9dbbfde8913b3deb37d7bafb11c2b532ddadc7	156,531	py	Python	gluoncv/model_zoo/quantized/quantized.py	ptrendx/gluon-cv	5017de97bffcdf7fd90a0be5cdd3201dc7af769e	[ "Apache-2.0" ]	69	2021-01-22T18:09:15.000Z	2022-03-29T09:38:03.000Z	gluoncv/model_zoo/quantized/quantized.py	ptrendx/gluon-cv	5017de97bffcdf7fd90a0be5cdd3201dc7af769e	[ "Apache-2.0" ]	3	2019-09-03T01:35:15.000Z	2019-11-13T06:28:00.000Z	gluoncv/model_zoo/quantized/quantized.py	ptrendx/gluon-cv	5017de97bffcdf7fd90a0be5cdd3201dc7af769e	[ "Apache-2.0" ]	3	2020-01-10T16:50:08.000Z	2020-11-13T06:59:13.000Z	# pylint: skip-file # pylint: disable=line-too-long """Create quantized model from JSON files...""" import os import warnings import mxnet as mx from mxnet.context import cpu from mxnet.gluon import SymbolBlock from gluoncv.utils.compress_json import get_compressed_model __all__ = ['mobilenet1_0_int8', 'resnet50_v1_in...	1,385.230088	25,874	0.961286	4,515	156,531	33.273533	0.832337	0.000792	0.001817	0.000479	0.016402	0.013679	0.011649	0.008267	0.007149	0.00667	0.145803	0.008708	156,531	112	25,875	1,397.598214	0.822373	0.004811	0.022727	0	0.068182	0.978132	0.975845	0	1	0	0	0	1	0.034091	false	0.011364	0.125	0	0.170455	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1	1	null	1	0	0	0	0	0	0	0	0	0	0	6
2df74c1ebc0e2d8b66eb99098eed8a6aaaf9621c	46	py	Python	Game15/modules/__init__.py	ttkaixin1998/pikachupythongames	609a3a5a2be3f5a187c332c7980bb5bb14548f02	[ "MIT" ]	4,013	2018-06-16T08:00:02.000Z	2022-03-30T11:48:14.000Z	Game15/modules/__init__.py	pigbearcat/Games	b8c47ef1bcce9a9db3f3730c162e6e8e08b508a2	[ "MIT" ]	22	2018-10-18T00:15:50.000Z	2022-01-13T08:16:15.000Z	Game15/modules/__init__.py	pigbearcat/Games	b8c47ef1bcce9a9db3f3730c162e6e8e08b508a2	[ "MIT" ]	2,172	2018-07-20T04:03:14.000Z	2022-03-31T14:18:29.000Z	'''初始化''' from .game import gemSprite, gemGame	23	36	0.717391	6	46	5.5	1	0	0	0	0	0	0	0	0	0	0	0.108696	46	2	36	23	0.804878	0.065217	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2dff5eae56e8c8203237ce687e2f607befb44a5b	28	py	Python	algo/daac/train.py	xlnwel/grl	7d42bb2e78bc3e7b7c3ebbcf356a4d1cf12abebf	[ "Apache-2.0" ]	5	2021-09-04T14:50:39.000Z	2022-03-13T09:53:09.000Z	algo/ppo2/train.py	xlnwel/d2rl	7d42bb2e78bc3e7b7c3ebbcf356a4d1cf12abebf	[ "Apache-2.0" ]	null	null	null	algo/ppo2/train.py	xlnwel/d2rl	7d42bb2e78bc3e7b7c3ebbcf356a4d1cf12abebf	[ "Apache-2.0" ]	2	2022-01-25T09:32:01.000Z	2022-03-13T09:53:14.000Z	from algo.ppo.train import *	28	28	0.785714	5	28	4.4	1	0	0	0	0	0	0	0	0	0	0	0.107143	28	1	28	28	0.88	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9301e05dee685490e7e2d5ce0e7aad3f661915c8	30	py	Python	astroaugmentations/utils/__init__.py	mb010/AstroAugmentations	ce62b0e8a10eece1972b884e86f072236c104400	[ "MIT" ]	1	2022-03-17T10:16:21.000Z	2022-03-17T10:16:21.000Z	astroaugmentations/utils/__init__.py	mb010/AstroAugmentations	ce62b0e8a10eece1972b884e86f072236c104400	[ "MIT" ]	4	2022-03-07T14:33:00.000Z	2022-03-18T16:12:03.000Z	astroaugmentations/utils/__init__.py	mb010/AstroAugmentations	ce62b0e8a10eece1972b884e86f072236c104400	[ "MIT" ]	null	null	null	from . import kernel_creation	15	29	0.833333	4	30	6	1	0	0	0	0	0	0	0	0	0	0	0.133333	30	1	30	30	0.923077	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
934f5d2721ee72e9ab69cdcd969c87c896289334	33	py	Python	zerodha/zerodha/cron.py	adit-negi/zerodha-web-task	cd18df546d6dde1fd2f756f5acd9bdf6bc54326c	[ "MIT" ]	null	null	null	zerodha/zerodha/cron.py	adit-negi/zerodha-web-task	cd18df546d6dde1fd2f756f5acd9bdf6bc54326c	[ "MIT" ]	null	null	null	zerodha/zerodha/cron.py	adit-negi/zerodha-web-task	cd18df546d6dde1fd2f756f5acd9bdf6bc54326c	[ "MIT" ]	2	2021-05-09T15:45:23.000Z	2021-08-19T10:44:10.000Z	def my_cron_job(): print(2+2)	16.5	18	0.636364	7	33	2.714286	0.857143	0	0	0	0	0	0	0	0	0	0.074074	0.181818	33	2	19	16.5	0.62963	0	0	0	0	0	0	0	0	0	0	0	1	0.5	true	0	0	0	0.5	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	1	6
935dc1b838afe10d6a5f600fbc71ca35c60b5e3b	11,869	py	Python	tests/python/cuda/test_comm.py	jakeKonrad/torch-quiver	16e01b8b61459ae41b7386b6a57ef9d20dfb6606	[ "Apache-2.0" ]	196	2021-10-30T23:40:27.000Z	2022-03-28T03:43:18.000Z	tests/python/cuda/test_comm.py	jakeKonrad/torch-quiver	16e01b8b61459ae41b7386b6a57ef9d20dfb6606	[ "Apache-2.0" ]	32	2021-11-03T15:07:50.000Z	2022-03-07T09:03:33.000Z	tests/python/cuda/test_comm.py	jakeKonrad/torch-quiver	16e01b8b61459ae41b7386b6a57ef9d20dfb6606	[ "Apache-2.0" ]	24	2021-10-31T12:28:34.000Z	2022-03-19T03:03:13.000Z	import torch import torch.multiprocessing as mp import torch_quiver as torch_qv import quiver import torch.distributed as dist import os import time LOCAL_ADDR = '192.168.0.78' MASTER_ADDR = '192.168.0.78' MASTER_PORT = 12355 def child_sendrecv_proc(rank, ws, id): torch.cuda.set_device(rank) comm = torch_qv....	30.278061	81	0.553711	1,595	11,869	4.020063	0.07837	0.033687	0.031192	0.03088	0.834685	0.818465	0.756862	0.725359	0.655802	0.649095	0.048751	0.308703	11,869	391	82	30.355499	0.732724	0.008004	0.752841	0	0.002841	0.089217	0	0	0	0	0	0	1	0.042614	false	0	0.019886	0	0.0625	0.110795	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
fa86c538be4945c82a6d26fd5cc6743f442637ac	16,208	py	Python	cottonformation/res/datapipeline.py	MacHu-GWU/cottonformation-project	23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b	[ "BSD-2-Clause" ]	5	2021-07-22T03:45:59.000Z	2021-12-17T21:07:14.000Z	cottonformation/res/datapipeline.py	MacHu-GWU/cottonformation-project	23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b	[ "BSD-2-Clause" ]	1	2021-06-25T18:01:31.000Z	2021-06-25T18:01:31.000Z	cottonformation/res/datapipeline.py	MacHu-GWU/cottonformation-project	23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b	[ "BSD-2-Clause" ]	2	2021-06-27T03:08:21.000Z	2021-06-28T22:15:51.000Z	# -- coding: utf-8 -- """ This module """ import attr import typing from ..core.model import ( Property, Resource, Tag, GetAtt, TypeHint, TypeCheck, ) from ..core.constant import AttrMeta #--- Property declaration --- @attr.s class PropPipelineParameterAttribute(Property): """ AWS Object Type = "AWS:...	60.932331	223	0.76999	1,740	16,208	7.074713	0.05	0.170593	0.043786	0.067669	0.900487	0.900487	0.880016	0.828513	0.828513	0.828513	0.000069	0.101061	16,208	265	224	61.162264	0.844818	0.336254	0.456522	0	0	0.085284	0.059099	0	0	0	0	0	1	0	false	0	0.028986	0	0.282609	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
fa985e13f0c199e0cf54854d04461a0c7a40dec4	69	py	Python	scheduletweet/twitter/adminviews.py	singh1114/schedule-tweet	b55ee35b0ee51c3843543cfa4cd4b3e63d1dcea1	[ "CC0-1.0" ]	1	2020-10-25T19:23:57.000Z	2020-10-25T19:23:57.000Z	scheduletweet/twitter/adminviews.py	singh1114/schedule-tweet	b55ee35b0ee51c3843543cfa4cd4b3e63d1dcea1	[ "CC0-1.0" ]	null	null	null	scheduletweet/twitter/adminviews.py	singh1114/schedule-tweet	b55ee35b0ee51c3843543cfa4cd4b3e63d1dcea1	[ "CC0-1.0" ]	null	null	null	from django.views import View class ScheduleTwitter(View): pass	13.8	29	0.768116	9	69	5.888889	0.888889	0	0	0	0	0	0	0	0	0	0	0.173913	69	5	30	13.8	0.929825	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
faa3442caf0697529eefc025f315a367a4cb06f8	200	py	Python	src/graphmb/__init__.py	MicrobialDarkMatter/GraphMB	04d777953bb7e5e23ec445e3d956c11c120feaa1	[ "MIT" ]	5	2022-02-28T16:06:59.000Z	2022-03-16T01:04:31.000Z	src/graphmb/__init__.py	AndreLamurias/GraphMB	9b861ba5522bfe8262c833b3bab1903c0a65a4b5	[ "MIT" ]	7	2022-02-21T13:21:07.000Z	2022-03-28T08:07:46.000Z	src/graphmb/__init__.py	MicrobialDarkMatter/GraphMB	04d777953bb7e5e23ec445e3d956c11c120feaa1	[ "MIT" ]	null	null	null	import os os.environ["DGLBACKEND"] = "pytorch" import dgl from . import contigsdataset from . import graph_functions from . import evaluate from . import graphsage_unsupervised from . import version	20	36	0.795	25	200	6.28	0.56	0.318471	0	0	0	0	0	0	0	0	0	0.14	200	9	37	22.222222	0.912791	0	0	0	0	0.085	0	0	0	0	0	0	1	0	true	0	0.875	0	0.875	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
facd0c068d2ca1b5ab4aac73ed30d7740eef0822	1,168	py	Python	terrascript/scaleway/d.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	507	2017-07-26T02:58:38.000Z	2022-01-21T12:35:13.000Z	terrascript/scaleway/d.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	135	2017-07-20T12:01:59.000Z	2021-10-04T22:25:40.000Z	terrascript/scaleway/d.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	81	2018-02-20T17:55:28.000Z	2022-01-31T07:08:40.000Z	# terrascript/scaleway/d.py # Automatically generated by tools/makecode.py () import warnings warnings.warn( "using the 'legacy layout' is deprecated", DeprecationWarning, stacklevel=2 ) import terrascript class scaleway_account_ssh_key(terrascript.Data): pass class scaleway_baremetal_offer(terrascript.Da...	15.783784	79	0.781678	140	1,168	6.271429	0.35	0.236902	0.346241	0.410023	0.635535	0.489749	0	0	0	0	0.003012	0.14726	1,168	73	80	16	0.878514	0.0625	0.432432	1	0	0.035714	0	0	0	0	0	0	1	0	true	0.432432	0.054054	0	0.486486	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	1	0	0	0	0	6
fae379f80084aa9fe3666eea20b584c74cd1ca23	4,171	py	Python	tests/unit_tests/test_tethys_apps/test_models/test_CustomSetting.py	quyendong/tethys	99bcb524d5b2021b88d5fa15b7ed6b8acb460997	[ "BSD-2-Clause" ]	1	2020-10-08T20:38:33.000Z	2020-10-08T20:38:33.000Z	tests/unit_tests/test_tethys_apps/test_models/test_CustomSetting.py	quyendong/tethys	99bcb524d5b2021b88d5fa15b7ed6b8acb460997	[ "BSD-2-Clause" ]	1	2018-04-14T19:40:54.000Z	2018-04-14T19:40:54.000Z	tests/unit_tests/test_tethys_apps/test_models/test_CustomSetting.py	quyendong/tethys	99bcb524d5b2021b88d5fa15b7ed6b8acb460997	[ "BSD-2-Clause" ]	1	2021-09-07T14:47:11.000Z	2021-09-07T14:47:11.000Z	from tethys_sdk.testing import TethysTestCase from tethys_apps.models import TethysApp, CustomSetting from django.core.exceptions import ValidationError class CustomSettingTests(TethysTestCase): def set_up(self): self.test_app = TethysApp.objects.get(package='test_app') pass def tear_down(sel...	37.918182	100	0.680173	494	4,171	5.455466	0.1417	0.183302	0.103896	0.133581	0.828571	0.815213	0.79666	0.775139	0.758071	0.758071	0.00304	0.21122	4,171	109	101	38.266055	0.816109	0.020858	0.6375	0	0	0.087767	0	0	0	0	0	0.125	1	0.15	false	0.025	0.0375	0	0.2	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
877e232a8cd8a9acf37d1c52fab8d43ac931e77b	44	py	Python	news_getter/__init__.py	isevitt/news-getter	8fb65aed15c82f39a1cb26f5ed1a7b2404e6fbd9	[ "MIT" ]	null	null	null	news_getter/__init__.py	isevitt/news-getter	8fb65aed15c82f39a1cb26f5ed1a7b2404e6fbd9	[ "MIT" ]	null	null	null	news_getter/__init__.py	isevitt/news-getter	8fb65aed15c82f39a1cb26f5ed1a7b2404e6fbd9	[ "MIT" ]	null	null	null	from news_getter.news_get import NewsGetter	22	43	0.886364	7	44	5.285714	0.857143	0	0	0	0	0	0	0	0	0	0	0.090909	44	1	44	44	0.925	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
879e74c68efd03bbe47b96b2d00c9b8137f35cf6	4,124	py	Python	web/gatekeeping/api/position.py	gabegm/Headcount-Planning-Management-System	6946509e6d8c530b9f0e51b68047c4cb01dedd2e	[ "MIT" ]	2	2020-03-17T10:55:39.000Z	2022-03-21T00:04:38.000Z	web/gatekeeping/api/position.py	gabegm/Headcount-Planning-Management-System	6946509e6d8c530b9f0e51b68047c4cb01dedd2e	[ "MIT" ]	null	null	null	web/gatekeeping/api/position.py	gabegm/Headcount-Planning-Management-System	6946509e6d8c530b9f0e51b68047c4cb01dedd2e	[ "MIT" ]	null	null	null	from flask import (g, abort, session) from gatekeeping.db import get_db from gatekeeping.api.user import get_user_function def get_position(id, check_submitter=True): position = get_db().execute( 'SELECT p.id, ps.name as status, rs.name as recruitment_status, number, pl.name as pillar, c.name as company, d...	46.337079	157	0.67386	605	4,124	4.4	0.155372	0.040571	0.020661	0.012397	0.860255	0.836589	0.836589	0.836589	0.80879	0.80879	0.006544	0.221872	4,124	89	158	46.337079	0.822998	0	0.7	0	0.042857	0.564606	0.077091	0.014286	0	0	0	0	1	0.042857	false	0	0.042857	0	0.142857	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
354ce7a5fccba75ebe10ba5320b4828e8ff84d6c	134	py	Python	tests/test_roomacoustics.py	ben-kas/pyrato	5880c53588f807a0fdd5271003aa72b5a3e2330e	[ "MIT" ]	3	2021-01-05T10:43:58.000Z	2022-02-16T07:57:11.000Z	tests/test_roomacoustics.py	ben-kas/pyrato	5880c53588f807a0fdd5271003aa72b5a3e2330e	[ "MIT" ]	1	2022-02-17T07:43:01.000Z	2022-02-17T07:43:01.000Z	tests/test_roomacoustics.py	ben-kas/pyrato	5880c53588f807a0fdd5271003aa72b5a3e2330e	[ "MIT" ]	1	2020-12-14T16:11:42.000Z	2020-12-14T16:11:42.000Z	#!/usr/bin/env python # -- coding: utf-8 -- """Tests for `roomacoustics` package.""" def test_import(): import roomacoustics	14.888889	40	0.641791	16	134	5.3125	0.875	0	0	0	0	0	0	0	0	0	0.008929	0.164179	134	8	41	16.75	0.75	0.574627	0	0	0	0	0	0	0	0	0	0	1	0.5	true	0	1	0	1.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6
35862b6c6a5a4ddb830c5a0f01205bc0be751a53	96	py	Python	venv/lib/python3.8/site-packages/pyflakes/__main__.py	Retraces/UkraineBot	3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/pyflakes/__main__.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/pyflakes/__main__.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/f6/19/ad/4eaa38a8043077bd5fd9e91630881be777ebc4657011a6c55861bf5a21	96	96	0.895833	9	96	9.555556	1	0	0	0	0	0	0	0	0	0	0.4375	0	96	1	96	96	0.458333	0	0	0	0	0	0	0	1	0	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	6
359544b911a99f0c5f8b34ab22463fc2a8c9cbfb	2,864	py	Python	core/models/utils.py	benoitmarteau/facies_classification_benchmark	25650361780191b1c624510728a156fa30b16829	[ "MIT" ]	60	2019-01-12T21:37:33.000Z	2022-03-23T02:17:43.000Z	core/models/utils.py	benoitmarteau/facies_classification_benchmark	25650361780191b1c624510728a156fa30b16829	[ "MIT" ]	6	2019-10-09T03:33:58.000Z	2021-12-24T17:34:34.000Z	core/models/utils.py	benoitmarteau/facies_classification_benchmark	25650361780191b1c624510728a156fa30b16829	[ "MIT" ]	25	2019-01-26T13:04:02.000Z	2021-11-26T08:20:26.000Z	import torch import torch.nn as nn import torch.nn.functional as F class conv2DBatchNorm(nn.Module): def __init__(self, in_channels, n_filters, k_size, stride, padding, bias=True, dilation=1): super(conv2DBatchNorm, self).__init__() if dilation > 1: conv_mod = nn.Conv2d(int(in_channe...	39.232877	111	0.594274	329	2,864	4.911854	0.148936	0.069307	0.068069	0.059406	0.830446	0.778465	0.778465	0.778465	0.778465	0.778465	0.012042	0.30412	2,864	72	112	39.777778	0.798796	0	0.627451	0	0	0	0	0	0	0	0	0	1	0.156863	false	0	0.058824	0	0.372549	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
35a909edaa08d5749b27af0ca66eb65fb69ba90f	25	py	Python	different/__init__.py	amatuni/different	efc9c5881be6b2d05e6799928e22deb085a8a4a7	[ "MIT" ]	null	null	null	different/__init__.py	amatuni/different	efc9c5881be6b2d05e6799928e22deb085a8a4a7	[ "MIT" ]	null	null	null	different/__init__.py	amatuni/different	efc9c5881be6b2d05e6799928e22deb085a8a4a7	[ "MIT" ]	null	null	null	from .different import *	12.5	24	0.76	3	25	6.333333	1	0	0	0	0	0	0	0	0	0	0	0.16	25	1	25	25	0.904762	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
35be9629bca17875a8e96abc6004217494ee829c	3,027	py	Python	main.py	Sakurai07/Google.py	d849ced11de8e8c7731c8da2a5d8c2288917d7c3	[ "MIT" ]	null	null	null	main.py	Sakurai07/Google.py	d849ced11de8e8c7731c8da2a5d8c2288917d7c3	[ "MIT" ]	null	null	null	main.py	Sakurai07/Google.py	d849ced11de8e8c7731c8da2a5d8c2288917d7c3	[ "MIT" ]	null	null	null	print("Made by Sakurai07") print("https://github.com/sakurai07/") from googleapi import google import os import time import asyncio dots = 1 num_page = 1 dp = 1 def ser(q, num_page): dots = 1 search_results = google.search(q, num_page) while search_results == []: c() dots += 1 if do...	27.770642	74	0.451933	308	3,027	4.36039	0.181818	0.067759	0.107223	0.134028	0.760983	0.740134	0.740134	0.740134	0.740134	0.740134	0.019763	0.414932	3,027	109	75	27.770642	0.738566	0	0.771429	0	0	0.126156	0	0	0	0	0	0	1	0.019048	false	0	0.038095	0	0.057143	0.380952	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
35e43354ac608991c840c28cb5d56f0d56507a66	22	py	Python	ampere/__init__.py	nealde/Ampere	75fa9c34940a71ef865eb98b551b4a4a27da96c3	[ "MIT" ]	19	2019-03-25T09:49:47.000Z	2022-02-20T07:40:18.000Z	ampere/__init__.py	nealde/battery	75fa9c34940a71ef865eb98b551b4a4a27da96c3	[ "MIT" ]	6	2018-09-28T19:27:25.000Z	2019-01-07T16:00:09.000Z	ampere/__init__.py	nealde/battery	75fa9c34940a71ef865eb98b551b4a4a27da96c3	[ "MIT" ]	6	2019-01-25T16:50:56.000Z	2021-01-29T21:36:32.000Z	from .ampere import *	11	21	0.727273	3	22	5.333333	1	0	0	0	0	0	0	0	0	0	0	0.181818	22	1	22	22	0.888889	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
35e6933f2cd85e4b19bcac70124a6811ba23f30e	8,974	py	Python	tests/components/homekit_controller/test_cover.py	MrDelik/core	93a66cc357b226389967668441000498a10453bb	[ "Apache-2.0" ]	30,023	2016-04-13T10:17:53.000Z	2020-03-02T12:56:31.000Z	tests/components/homekit_controller/test_cover.py	MrDelik/core	93a66cc357b226389967668441000498a10453bb	[ "Apache-2.0" ]	24,710	2016-04-13T08:27:26.000Z	2020-03-02T12:59:13.000Z	tests/components/homekit_controller/test_cover.py	MrDelik/core	93a66cc357b226389967668441000498a10453bb	[ "Apache-2.0" ]	11,956	2016-04-13T18:42:31.000Z	2020-03-02T09:32:12.000Z	"""Basic checks for HomeKitalarm_control_panel.""" from aiohomekit.model.characteristics import CharacteristicsTypes from aiohomekit.model.services import ServicesTypes from tests.components.homekit_controller.common import setup_test_component def create_window_covering_service(accessory): """Define a window-co...	32.05	81	0.720303	1,045	8,974	5.858373	0.107177	0.061745	0.032016	0.077752	0.912937	0.889579	0.836328	0.819013	0.779811	0.748122	0.007079	0.197236	8,974	279	82	32.164875	0.842726	0.035324	0.544118	0	0	0.045343	0.010843	0	0	0	0	0.088235	1	0.019608	false	0	0.014706	0	0.044118	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ea24ee23463f2e6fbe7c9346efd64b147c438492	10,450	py	Python	panel/tests/view_tests.py	freejooo/vigilio	d21bf4f9d39e5dcde5d7c21476d8650e914c3c66	[ "MIT" ]	137	2021-03-26T18:19:45.000Z	2022-03-06T07:48:23.000Z	panel/tests/view_tests.py	rrosajp/vigilio	d21bf4f9d39e5dcde5d7c21476d8650e914c3c66	[ "MIT" ]	11	2021-03-28T00:07:00.000Z	2021-05-04T12:54:58.000Z	panel/tests/view_tests.py	rrosajp/vigilio	d21bf4f9d39e5dcde5d7c21476d8650e914c3c66	[ "MIT" ]	16	2021-03-27T23:58:53.000Z	2022-03-20T14:52:13.000Z	from typing import Dict, List import pytest from django.test import Client from django.urls import reverse from pytest_mock import MockerFixture from stream.models import Movie from stream.tests.factories import MovieFactory @pytest.fixture def ignore_setup(mocker: MockerFixture) -> None: mocker.patch("panel.de...	35.067114	111	0.660478	1,203	10,450	5.526185	0.095594	0.109507	0.081227	0.097473	0.855897	0.830024	0.811673	0.755415	0.739621	0.730445	0.011585	0.215311	10,450	297	112	35.185185	0.799146	0	0.616071	0	0.004464	0.214067	0.166986	0	0	0	0	0.25	1	0.138393	false	0	0.03125	0	0.200893	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ea57fec66f53af30e47e4cae0c5c43b28af3d25f	10,825	py	Python	CPDNN_base.py	xuzhiqin1990/MSDNN2ellipticPDEs	ddaee034474c18bc23b51824fb6a00539c07d52c	[ "MIT" ]	1	2021-12-23T07:40:04.000Z	2021-12-23T07:40:04.000Z	CPDNN_base.py	xuzhiqin1990/MSDNN2ellipticPDEs	ddaee034474c18bc23b51824fb6a00539c07d52c	[ "MIT" ]	null	null	null	CPDNN_base.py	xuzhiqin1990/MSDNN2ellipticPDEs	ddaee034474c18bc23b51824fb6a00539c07d52c	[ "MIT" ]	1	2021-12-31T10:57:17.000Z	2021-12-31T10:57:17.000Z	# -- coding: utf-8 -- """ Modify on 2020年4月1日 @author: LXG Benchmark Code of Coupled PhaseDNN for ODE. """ import tensorflow as tf import numpy as np # ---------------------------------------------- my activations ----------------------------------------------- def srelu(x): return tf.nn.relu(1...	39.079422	140	0.618291	1,568	10,825	4.066964	0.110332	0.11761	0.03889	0.025404	0.824212	0.809472	0.774188	0.753332	0.702995	0.679787	0.021747	0.24388	10,825	276	141	39.221014	0.757361	0.120831	0.628866	0	0	0.028718	0	0	0	0	0	0	1	0.087629	false	0	0.010309	0.041237	0.185567	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
57631a3429ee691ebbe9b1b03059e22c3b2abd26	1,457	py	Python	server/openapi_server/models/__init__.py	NCATS-Tangerine/kba-reasoner	19ea293fa02693b2df5ecfe1d91856b34e73a3e1	[ "MIT" ]	null	null	null	server/openapi_server/models/__init__.py	NCATS-Tangerine/kba-reasoner	19ea293fa02693b2df5ecfe1d91856b34e73a3e1	[ "MIT" ]	null	null	null	server/openapi_server/models/__init__.py	NCATS-Tangerine/kba-reasoner	19ea293fa02693b2df5ecfe1d91856b34e73a3e1	[ "MIT" ]	null	null	null	# coding: utf-8 # flake8: noqa from __future__ import absolute_import # import models into model package from openapi_server.models.credentials import Credentials from openapi_server.models.edge import Edge from openapi_server.models.edge_attribute import EdgeAttribute from openapi_server.models.expertise_level import...	50.241379	96	0.889499	193	1,457	6.481865	0.264249	0.202238	0.31255	0.422862	0.388489	0	0	0	0	0	0.001484	0.074811	1,457	28	97	52.035714	0.926558	0.040494	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
576b2b3948aeaf7a364d5f3299beb9f8f6eb5d14	129	py	Python	middleware/__init__.py	liveonnet/p3_server	2dab6eab6e98b3ef0d26093eb461c635f5bc07b4	[ "Apache-2.0" ]	null	null	null	middleware/__init__.py	liveonnet/p3_server	2dab6eab6e98b3ef0d26093eb461c635f5bc07b4	[ "Apache-2.0" ]	null	null	null	middleware/__init__.py	liveonnet/p3_server	2dab6eab6e98b3ef0d26093eb461c635f5bc07b4	[ "Apache-2.0" ]	null	null	null	from .log import logger_factory from .nurse import nurse_handler_factory l_middleware = [logger_factory, nurse_handler_factory]	25.8	54	0.852713	18	129	5.722222	0.5	0.252427	0.368932	0	0	0	0	0	0	0	0	0.100775	129	4	55	32.25	0.887931	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
579946fe2fb85154771b93ea1c6d330770f41752	179	py	Python	rasa/core/frames/__init__.py	msamogh/rasa	f8b84bd3e36c8336294484174c2fce04d7b07e75	[ "Apache-2.0" ]	4	2020-04-17T17:08:59.000Z	2021-07-21T16:25:00.000Z	rasa/core/frames/__init__.py	msamogh/rasa	f8b84bd3e36c8336294484174c2fce04d7b07e75	[ "Apache-2.0" ]	5	2020-04-10T09:08:46.000Z	2021-08-25T14:40:03.000Z	rasa/core/frames/__init__.py	msamogh/rasa	f8b84bd3e36c8336294484174c2fce04d7b07e75	[ "Apache-2.0" ]	1	2020-05-02T16:00:20.000Z	2020-05-02T16:00:20.000Z	from rasa.core.frames.frame import Frame, FrameSet from rasa.core.frames.frame_policy import FramePolicy from rasa.core.frames.rule_based_frame_policy import RuleBasedFramePolicy	44.75	73	0.871508	26	179	5.846154	0.461538	0.157895	0.236842	0.355263	0.302632	0	0	0	0	0	0	0.072626	179	3	74	59.666667	0.915663	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
57af2b0a56f304480a46a8e275f7500734150c8d	1,553	py	Python	backend/blog/views.py	jadames03/food-talk	c2b8a4fecb603b72309ae2bc6bcf47dc3cd22448	[ "MIT" ]	4	2022-01-11T03:46:17.000Z	2022-01-13T01:12:01.000Z	backend/blog/views.py	jadames03/food-talk	c2b8a4fecb603b72309ae2bc6bcf47dc3cd22448	[ "MIT" ]	2	2022-01-10T17:00:54.000Z	2022-01-13T03:01:35.000Z	backend/blog/views.py	jadames03/food-talk	c2b8a4fecb603b72309ae2bc6bcf47dc3cd22448	[ "MIT" ]	19	2022-01-08T02:29:16.000Z	2022-02-01T00:41:09.000Z	from django.shortcuts import render from django.http import HttpResponse # Create your views here. def index(request): return render(request, 'blog/index.html') def signin(request): return render(request, 'blog/signin.html') def signup(request): return render(request, 'blog/signup.html') def rasberry(r...	23.892308	56	0.730844	198	1,553	5.712121	0.191919	0.229885	0.335986	0.45977	0.583554	0.106101	0.106101	0.106101	0.106101	0.106101	0	0.137798	1,553	64	57	24.265625	0.84466	0.01481	0.095238	0	0	0.233639	0.032723	0	0	0	0	0	1	0.47619	false	0	0.047619	0.47619	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
17b4775bff2a050573de841692361db025b60b28	94,300	py	Python	saas/aiops/api/aiops-server/ai_lib/time_series_prediction/algorithm/preprocess/simpleRobustSTL/RobustSTLcode.py	iuskye/SREWorks	a2a7446767d97ec5f6d15bd00189c42150d6c894	[ "Apache-2.0" ]	407	2022-03-16T08:09:38.000Z	2022-03-31T12:27:10.000Z	saas/aiops/api/aiops-server/ai_lib/time_series_prediction/algorithm/preprocess/simpleRobustSTL/RobustSTLcode.py	Kwafoor/SREWorks	37a64a0a84b29c65cf6b77424bd2acd0c7b42e2b	[ "Apache-2.0" ]	25	2022-03-22T04:27:31.000Z	2022-03-30T08:47:28.000Z	saas/aiops/api/aiops-server/ai_lib/time_series_prediction/algorithm/preprocess/simpleRobustSTL/RobustSTLcode.py	Kwafoor/SREWorks	37a64a0a84b29c65cf6b77424bd2acd0c7b42e2b	[ "Apache-2.0" ]	109	2022-03-21T17:30:44.000Z	2022-03-31T09:36:28.000Z	"""Our Proposed Robust STL based on Spare Model and Non-local Season bilateral filtering Input: original_data - T x 1 Output: decomposed_data - T x 3 (trend, season, irregular) Author: Qingsong <qingsong.wen@alibaba-inc.com> """ from numpy.linalg import norm, cholesky import scipy.sparse as sparse import time import ...	41.017834	81	0.602185	11,959	94,300	4.430638	0.055021	0.020722	0.016533	0.012569	0.801363	0.781018	0.760824	0.741781	0.724474	0.713207	0.01167	0.322132	94,300	2,298	82	41.035683	0.817233	0.43596	0.418559	0	0.001974	0.025131	0.002581	0	0	0	0	0	1	0.033564	false	0.000987	0.012833	0.005923	0.081935	0.004936	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
17ee13f9bc0b0c5139e69b291f86ec2aa00e5ea7	4,096	py	Python	py/hyper_dk_series.py	kazuibasou/hyper-dk-series	f47709d06285b1788cbbf7cd29480f87a2f2ccbc	[ "MIT" ]	null	null	null	py/hyper_dk_series.py	kazuibasou/hyper-dk-series	f47709d06285b1788cbbf7cd29480f87a2f2ccbc	[ "MIT" ]	null	null	null	py/hyper_dk_series.py	kazuibasou/hyper-dk-series	f47709d06285b1788cbbf7cd29480f87a2f2ccbc	[ "MIT" ]	null	null	null	import hypergraph import rewiring import random def randomizing_d_v_zero_d_e_zero(G): # Given a hypergraph, return a randomized hypergraph with (d_v, d_e) = (0, 0). B_M = 0 for v in G.V: B_M += len(G.elist[v]) randG = hypergraph.HyperGraph() randG.V = list(G.V) randG.E = [[] for e_i in range(0, len(G.E))] f...	25.128834	86	0.697021	741	4,096	3.62753	0.070175	0.02381	0.125	0.14881	0.928199	0.909226	0.892485	0.864583	0.854167	0.854167	0.015826	0.166992	4,096	163	87	25.128834	0.771981	0.151123	0.617647	0	0	0.171807	0	0	0	0	0	0	1	0.078431	false	0	0.029412	0	0.186275	0.078431	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
17f16335a161822fc33f58a19a47a085b9c2d421	150	py	Python	regex/Introduction/Matching Word & Non-Word Character.py	patwadeepak/hackerrank-practice-problems	fa29269b543816bb73ec1ea1e339cae30e9764cd	[ "Apache-2.0" ]	null	null	null	regex/Introduction/Matching Word & Non-Word Character.py	patwadeepak/hackerrank-practice-problems	fa29269b543816bb73ec1ea1e339cae30e9764cd	[ "Apache-2.0" ]	null	null	null	regex/Introduction/Matching Word & Non-Word Character.py	patwadeepak/hackerrank-practice-problems	fa29269b543816bb73ec1ea1e339cae30e9764cd	[ "Apache-2.0" ]	null	null	null	# Author: Deepak Kumar Regex_Pattern = r"\w\w\w\W\w\w\w\w\w\w\w\w\w\w\W\w\w\w" import re print(str(bool(re.search(Regex_Pattern, input()))).lower())	25	59	0.666667	35	150	2.8	0.428571	0.346939	0.489796	0.612245	0.183673	0.183673	0.183673	0.183673	0.183673	0.183673	0	0.08	150	6	59	25	0.710145	0.133333	0	0	0.333333	0.27907	0.27907	0	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0.333333	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
aa26f8dd5ee9a367ac110dc3fd111c072b1be57e	41	py	Python	tetris/__init__.py	AndrejHafner/tetris-reinforcement-learning	52db5d8ce7f9162b15575456a0effc69dd7fb2bf	[ "MIT" ]	null	null	null	tetris/__init__.py	AndrejHafner/tetris-reinforcement-learning	52db5d8ce7f9162b15575456a0effc69dd7fb2bf	[ "MIT" ]	null	null	null	tetris/__init__.py	AndrejHafner/tetris-reinforcement-learning	52db5d8ce7f9162b15575456a0effc69dd7fb2bf	[ "MIT" ]	null	null	null	from tetris import * from block import *	13.666667	20	0.756098	6	41	5.166667	0.666667	0	0	0	0	0	0	0	0	0	0	0.195122	41	2	21	20.5	0.939394	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
aa36919f75e56ab26ed3310aebfc87ae676cbbb1	93	py	Python	app_routes/threads/applications/application_id/__init__.py	kskarbinski/threads-api	c144c1cb51422095922310d278f80e4996c10ea0	[ "MIT" ]	null	null	null	app_routes/threads/applications/application_id/__init__.py	kskarbinski/threads-api	c144c1cb51422095922310d278f80e4996c10ea0	[ "MIT" ]	null	null	null	app_routes/threads/applications/application_id/__init__.py	kskarbinski/threads-api	c144c1cb51422095922310d278f80e4996c10ea0	[ "MIT" ]	null	null	null	from .threads_applications_application_id_route import ThreadsApplicationsApplicationIdRoute	46.5	92	0.946237	8	93	10.5	1	0	0	0	0	0	0	0	0	0	0	0.043011	93	1	93	93	0.94382	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
aa43e9ebc0154242e5fbad59c31b18d5ce2f6b44	107	py	Python	tfquery/__init__.py	mazen160/tfquery	ddc145d7bf04f002c8ea49079fbc688106fc1485	[ "MIT" ]	262	2021-04-28T11:38:53.000Z	2022-03-16T12:31:14.000Z	tfquery/__init__.py	mazen160/tfquery	ddc145d7bf04f002c8ea49079fbc688106fc1485	[ "MIT" ]	2	2021-05-12T07:30:25.000Z	2021-09-19T11:29:22.000Z	tfquery/__init__.py	mazen160/tfquery	ddc145d7bf04f002c8ea49079fbc688106fc1485	[ "MIT" ]	12	2021-04-28T17:15:08.000Z	2022-02-12T10:30:45.000Z	import tfquery.tfstate import tfquery.sql_handler import tfquery.tfstate_v3_migration import tfquery.utils	21.4	35	0.88785	15	107	6.133333	0.533333	0.565217	0.434783	0	0	0	0	0	0	0	0.010101	0.074766	107	4	36	26.75	0.919192	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
a4ab1c633e82fd238750d2b31a8147783e37d999	149	py	Python	src/Diagnostics.AIProjects/TrainingAPI/__app__/TrainingModule/Exceptions.py	prbajrac/Azure-AppServices-Diagnostics	ba66a7f40b6ec1f4ec388e7b07820607944a998d	[ "MIT" ]	null	null	null	src/Diagnostics.AIProjects/TrainingAPI/__app__/TrainingModule/Exceptions.py	prbajrac/Azure-AppServices-Diagnostics	ba66a7f40b6ec1f4ec388e7b07820607944a998d	[ "MIT" ]	null	null	null	src/Diagnostics.AIProjects/TrainingAPI/__app__/TrainingModule/Exceptions.py	prbajrac/Azure-AppServices-Diagnostics	ba66a7f40b6ec1f4ec388e7b07820607944a998d	[ "MIT" ]	1	2019-12-16T07:08:12.000Z	2019-12-16T07:08:12.000Z	class TrainingException(Exception): pass class PublishingException(Exception): pass class ResourceConfigDownloadFailed(Exception): pass	18.625	46	0.791946	12	149	9.833333	0.5	0.330508	0.305085	0	0	0	0	0	0	0	0	0.147651	149	8	47	18.625	0.929134	0	0.5	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	0	0	0	0	6
a4fd0b3e5ce2d5d894105faa5edf53ac5c033337	3,755	py	Python	tests/time_series_image_test.py	AeRabelais/DeepBench	ddb95b394eae381f60b031572cb79fac6418376f	[ "Apache-2.0" ]	null	null	null	tests/time_series_image_test.py	AeRabelais/DeepBench	ddb95b394eae381f60b031572cb79fac6418376f	[ "Apache-2.0" ]	1	2022-03-17T19:09:41.000Z	2022-03-17T19:09:41.000Z	tests/time_series_image_test.py	AeRabelais/DeepBenchmark	ddb95b394eae381f60b031572cb79fac6418376f	[ "Apache-2.0" ]	null	null	null	from unittest import TestCase from src.deepbench.image.time_series_image import TimeSeriesImage class TestTimeSeriesImage(TestCase): def test_1d_init(self): with self.assertRaises(AssertionError): image_shape = (12,) object_params = [{"object_type": "test_object"}] Time...	37.929293	71	0.664447	428	3,755	5.446262	0.126168	0.15444	0.070785	0.10296	0.834835	0.811669	0.785071	0.766195	0.743887	0.720721	0.016451	0.239148	3,755	98	72	38.316327	0.79944	0.013848	0.623377	0	0	0.080249	0	0	0	0	0	0.194805	1	0.155844	false	0	0.025974	0	0.194805	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
352daed1b4556a28e943fc7c3ffe93fb18304c40	147	py	Python	teacher/metrics/__init__.py	Kaysera/fuzzy-lore	128131e0f41f480d509b63c5e75d0ce58f07bae4	[ "MIT" ]	3	2022-03-09T16:54:02.000Z	2022-03-10T13:28:31.000Z	teacher/metrics/__init__.py	Kaysera/fuzzy-lore	128131e0f41f480d509b63c5e75d0ce58f07bae4	[ "MIT" ]	1	2022-03-17T16:30:02.000Z	2022-03-24T17:54:08.000Z	teacher/metrics/__init__.py	Kaysera/fuzzy-lore	128131e0f41f480d509b63c5e75d0ce58f07bae4	[ "MIT" ]	null	null	null	from .rule import coverage, precision, fidelity, rule_fidelity __all__ = [ "coverage", "precision", "fidelity", "rule_fidelity" ]	16.333333	62	0.659864	14	147	6.5	0.5	0.373626	0.549451	0.637363	0.813187	0	0	0	0	0	0	0.217687	147	8	63	18.375	0.791304	0	0	0	0	0.258503	0	0	0	0	0	0	1	0	false	0	0.142857	0	0.142857	0	1	0	0	null	1	1	1	1	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	0	6
1020223877cb8dabf05806c36d92071551102f3f	105	py	Python	fs/__init__.py	Stift007/python-fs	aac31ab4dbcd659bb1451ec8ea2132254585a3fb	[ "MIT" ]	null	null	null	fs/__init__.py	Stift007/python-fs	aac31ab4dbcd659bb1451ec8ea2132254585a3fb	[ "MIT" ]	null	null	null	fs/__init__.py	Stift007/python-fs	aac31ab4dbcd659bb1451ec8ea2132254585a3fb	[ "MIT" ]	null	null	null	from fs import readFile,writeFile,readFileSync,writeFileSync,readDir,readDirSync,readDirString,move,copy	52.5	104	0.885714	12	105	7.75	1	0	0	0	0	0	0	0	0	0	0	0.038095	105	1	105	105	0.920792	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
102ad9e69f291b3b78691c8b5f28d8da71dae4a1	26,838	py	Python	chunair/kicad-footprint-generator-master/KicadModTree/tests/moduletests/test_kicad5_padshapes.py	speedypotato/chuni-lite	c8dda8428723f8c4f99075e7cbaa22a44cbc187d	[ "CC-BY-4.0" ]	2	2022-03-18T23:42:51.000Z	2022-03-19T15:31:34.000Z	chunair/kicad-footprint-generator-master/KicadModTree/tests/moduletests/test_kicad5_padshapes.py	speedypotato/chuni-lite	c8dda8428723f8c4f99075e7cbaa22a44cbc187d	[ "CC-BY-4.0" ]	null	null	null	chunair/kicad-footprint-generator-master/KicadModTree/tests/moduletests/test_kicad5_padshapes.py	speedypotato/chuni-lite	c8dda8428723f8c4f99075e7cbaa22a44cbc187d	[ "CC-BY-4.0" ]	null	null	null	# KicadModTree 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 3 of the License, or # (at your option) any later version. # # KicadModTree is distributed in the hope that it will be useful, # bu...	42.264567	121	0.576533	4,289	26,838	3.509676	0.052693	0.018202	0.015944	0.027237	0.912841	0.896831	0.879891	0.869528	0.854381	0.844549	0.108668	0.264513	26,838	634	122	42.33123	0.653934	0.044899	0.65019	0	0.173004	0.536593	0	0	0	0	0	0.019011	1	0.019011	false	0	0.005703	0	0.026616	0.057034	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
1057f1cfeeeeaf5980f0ba235f3ed7dfa0ac48cf	38	py	Python	data/__init__.py	nilesh2797/perceiver-lm	2431e7bb68fbd118273f7feb35559de47eb341a2	[ "MIT" ]	null	null	null	data/__init__.py	nilesh2797/perceiver-lm	2431e7bb68fbd118273f7feb35559de47eb341a2	[ "MIT" ]	null	null	null	data/__init__.py	nilesh2797/perceiver-lm	2431e7bb68fbd118273f7feb35559de47eb341a2	[ "MIT" ]	null	null	null	from data.mnist import MNISTDataModule	38	38	0.894737	5	38	6.8	1	0	0	0	0	0	0	0	0	0	0	0.078947	38	1	38	38	0.971429	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
107ad86525db42d105b828cdc6f1f58cdb61aab6	48	py	Python	flask_gdrive/__init__.py	Shubby98/Flask-GDrive	b6876fa224b24f4d00ff9382a46a7bc573331198	[ "MIT" ]	8	2019-10-09T19:42:56.000Z	2020-02-22T02:14:09.000Z	flask_gdrive/__init__.py	Shubby98/Flask-GDrive	b6876fa224b24f4d00ff9382a46a7bc573331198	[ "MIT" ]	9	2019-10-22T16:32:23.000Z	2019-12-26T17:57:32.000Z	flask_gdrive/__init__.py	Shubby98/Flask-GDrive	b6876fa224b24f4d00ff9382a46a7bc573331198	[ "MIT" ]	7	2019-10-22T20:29:54.000Z	2021-01-27T19:42:00.000Z	from .flask_gdrive import GDriveDB, GDriveStatic	48	48	0.875	6	48	6.833333	1	0	0	0	0	0	0	0	0	0	0	0.083333	48	1	48	48	0.931818	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
108fa568c8c68bc0dd73a4e1b35ad8ae6c4fffd7	16	py	Python	python/20181228/Code/p3/c1.py	Realize0917/career	b5d02ac53cfc3ce3a2ca38d11480c51560283e67	[ "MIT" ]	3	2019-01-17T05:50:51.000Z	2019-03-15T10:10:07.000Z	python/20181228/Code/p3/c1.py	Realize0917/career	b5d02ac53cfc3ce3a2ca38d11480c51560283e67	[ "MIT" ]	10	2019-01-17T06:07:03.000Z	2019-02-19T05:55:25.000Z	python/20181228/Code/p3/c1.py	Realize0917/career	b5d02ac53cfc3ce3a2ca38d11480c51560283e67	[ "MIT" ]	4	2018-12-22T07:32:55.000Z	2019-03-06T09:13:48.000Z	from . import c2	16	16	0.75	3	16	4	1	0	0	0	0	0	0	0	0	0	0.076923	0.1875	16	1	16	16	0.846154	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
52e04bbe3b8482d94899bd6269df5fecbcf95a06	88	py	Python	publichealth/home/models/__init__.py	pcoder/public-health-ch	cebc4849653560c54238b67814074353ff7c01f3	[ "MIT" ]	2	2020-10-29T16:27:21.000Z	2021-06-07T12:47:46.000Z	publichealth/home/models/__init__.py	pcoder/public-health-ch	cebc4849653560c54238b67814074353ff7c01f3	[ "MIT" ]	11	2017-05-09T10:50:28.000Z	2021-12-15T17:01:23.000Z	publichealth/home/models/__init__.py	pcoder/public-health-ch	cebc4849653560c54238b67814074353ff7c01f3	[ "MIT" ]	4	2017-04-24T13:06:55.000Z	2021-06-04T02:18:32.000Z	from .forms import * from .models import * from .snippets import * from .admin import *	17.6	23	0.727273	12	88	5.333333	0.5	0.46875	0	0	0	0	0	0	0	0	0	0.181818	88	4	24	22	0.888889	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
52fe4b7dc792f6d4a01c74ad7832281ff390be3b	66	py	Python	doorknob/__init__.py	escofresco/tinydoor	a8810cf7ca302bb91f5089f1ccdc37c30ec81cf6	[ "MIT" ]	4	2020-06-17T13:45:57.000Z	2020-06-25T17:10:18.000Z	doorknob/__init__.py	escofresco/tinydoor	a8810cf7ca302bb91f5089f1ccdc37c30ec81cf6	[ "MIT" ]	80	2020-06-16T18:53:42.000Z	2022-03-12T00:44:37.000Z	doorknob/__init__.py	escofresco/tinydoor	a8810cf7ca302bb91f5089f1ccdc37c30ec81cf6	[ "MIT" ]	null	null	null	from .detect import * from .foyer import * from .helpers import *	16.5	22	0.727273	9	66	5.333333	0.555556	0.416667	0	0	0	0	0	0	0	0	0	0.181818	66	3	23	22	0.888889	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5e0cb7f52572d0a94fba5847fd8189821152e621	20	py	Python	perceptual/alignment/ewert/__init__.py	LIMUNIMI/PerceptualEvaluation	6e1fcdf65ae5cb86997443607bb2050163b64720	[ "MIT" ]	6	2021-09-18T08:36:26.000Z	2022-03-25T16:37:04.000Z	perceptual/alignment/ewert/__init__.py	LIMUNIMI/PerceptualEvaluation	6e1fcdf65ae5cb86997443607bb2050163b64720	[ "MIT" ]	1	2021-08-24T11:18:25.000Z	2021-12-18T19:46:05.000Z	perceptual/alignment/ewert/__init__.py	LIMUNIMI/PerceptualEvaluation	6e1fcdf65ae5cb86997443607bb2050163b64720	[ "MIT" ]	3	2021-07-13T15:11:38.000Z	2021-11-26T07:38:00.000Z	from . import align	10	19	0.75	3	20	5	1	0	0	0	0	0	0	0	0	0	0	0.2	20	1	20	20	0.9375	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
eabc2d596d684adf815d34a4c8002b761aab2c78	21,923	py	Python	nova/tests/unit/api/openstack/compute/test_extended_server_attributes.py	bopopescu/nova-token	ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2	[ "Apache-2.0" ]	null	null	null	nova/tests/unit/api/openstack/compute/test_extended_server_attributes.py	bopopescu/nova-token	ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2	[ "Apache-2.0" ]	null	null	null	nova/tests/unit/api/openstack/compute/test_extended_server_attributes.py	bopopescu/nova-token	ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2	[ "Apache-2.0" ]	2	2017-07-20T17:31:34.000Z	2020-07-24T02:42:19.000Z	begin_unit comment\|'# Copyright 2011 OpenStack Foundation' nl\|'\n' comment\|'# All Rights Reserved.' nl\|'\n' comment\|'#' nl\|'\n' comment\|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl\|'\n' comment\|'# not use this file except in compliance with the License. You may obtain' nl\|'\n' co...	12.125553	88	0.597774	3,269	21,923	3.929642	0.073417	0.163008	0.047408	0.054647	0.817998	0.780165	0.733147	0.699284	0.681924	0.634205	0.015661	0.097067	21,923	1,807	89	12.132263	0.633291	0	0.942446	0	0	0.353328	0.050677	0	0	0	0	0.017709	0	null	null	0.001107	0.004981	null	null	0	0	0	0	null	0	0	0	1	1	1	0	0	1	0	0	0	0	0	1	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	0	6
eac05de33ce6171f7a6b4c2473c0c4605f5814d7	134	py	Python	semiconductor_photophysics/old/_semiconductor.py	wright-group/semiconductor-photophysics	e4c03aace7828a9b69b77dcc7a4fdd1de3f3fc20	[ "MIT" ]	null	null	null	semiconductor_photophysics/old/_semiconductor.py	wright-group/semiconductor-photophysics	e4c03aace7828a9b69b77dcc7a4fdd1de3f3fc20	[ "MIT" ]	null	null	null	semiconductor_photophysics/old/_semiconductor.py	wright-group/semiconductor-photophysics	e4c03aace7828a9b69b77dcc7a4fdd1de3f3fc20	[ "MIT" ]	null	null	null	""" """ import numpy as np def beta_mu(): """ pg. 96, eq. 6.37 of Haug and Koch eq. 14 of 10.1063/1.340957 """	12.181818	38	0.492537	23	134	2.826087	0.913043	0	0	0	0	0	0	0	0	0	0.224719	0.335821	134	11	39	12.181818	0.505618	0.455224	0	0	0	0	0	0	0	0	0	0	1	0.5	true	0	0.5	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6
d800a109eaaaa7b619651dfd9eb4c99865844e37	32	py	Python	obliquestrategies/__init__.py	FdelMazo/obliquestrategies	f2db3ef378c642b2cecd55945c68c03ab9cc4d9a	[ "MIT" ]	3	2019-01-09T02:04:16.000Z	2021-03-02T07:05:51.000Z	obliquestrategies/__init__.py	FdelMazo/obliquestrategies	f2db3ef378c642b2cecd55945c68c03ab9cc4d9a	[ "MIT" ]	null	null	null	obliquestrategies/__init__.py	FdelMazo/obliquestrategies	f2db3ef378c642b2cecd55945c68c03ab9cc4d9a	[ "MIT" ]	null	null	null	from .obliquestrategies import *	32	32	0.84375	3	32	9	1	0	0	0	0	0	0	0	0	0	0	0.09375	32	1	32	32	0.931034	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
dc33488317528d08ed53ed4e99476b80f3f60b4c	117	py	Python	hong/__init__.py	SherylHYX/Ro-SOS-Metric-Expression-Network-MEnet-for-Robust-Salient-Object-Segmentation	d774372e474161aae4dd26a033ae3858ed7255cf	[ "MIT" ]	2	2021-12-21T03:20:28.000Z	2022-02-08T12:35:34.000Z	hong/__init__.py	SherylHYX/Ro-SOS-Metric-Expression-Network-MEnet-for-Robust-Salient-Object-Segmentation	d774372e474161aae4dd26a033ae3858ed7255cf	[ "MIT" ]	null	null	null	hong/__init__.py	SherylHYX/Ro-SOS-Metric-Expression-Network-MEnet-for-Robust-Salient-Object-Segmentation	d774372e474161aae4dd26a033ae3858ed7255cf	[ "MIT" ]	null	null	null	from hong.data1 import InputLayer from hong.resize import ResizeToSameSize from hong.pyloss import EuclideanLossLayer	39	42	0.880342	15	117	6.866667	0.6	0.23301	0	0	0	0	0	0	0	0	0.009434	0.094017	117	3	42	39	0.962264	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
dc751d3809e8f1074c83664ce6cc404544cf99f6	26	py	Python	src/models/__init__.py	behavioral-data/multiverse	82b7265de0aa3e9d229ce9f3f86b8b48435ca365	[ "MIT" ]	null	null	null	src/models/__init__.py	behavioral-data/multiverse	82b7265de0aa3e9d229ce9f3f86b8b48435ca365	[ "MIT" ]	null	null	null	src/models/__init__.py	behavioral-data/multiverse	82b7265de0aa3e9d229ce9f3f86b8b48435ca365	[ "MIT" ]	1	2021-08-19T15:21:50.000Z	2021-08-19T15:21:50.000Z	from .CORAL_BART import *	13	25	0.769231	4	26	4.75	1	0	0	0	0	0	0	0	0	0	0	0.153846	26	1	26	26	0.863636	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
dc833882a25782f379d9aa6590147f30ee0bcd66	128	py	Python	tests/test_version.py	fabaff/hrepr	f6de915f1d34c47ceab11f5f70e433a30e6de174	[ "MIT" ]	null	null	null	tests/test_version.py	fabaff/hrepr	f6de915f1d34c47ceab11f5f70e433a30e6de174	[ "MIT" ]	null	null	null	tests/test_version.py	fabaff/hrepr	f6de915f1d34c47ceab11f5f70e433a30e6de174	[ "MIT" ]	null	null	null	def test_version(): from hrepr.version import version assert isinstance(version, str) and len(version.split(".")) == 3	25.6	68	0.695313	17	128	5.176471	0.764706	0	0	0	0	0	0	0	0	0	0.009434	0.171875	128	4	69	32	0.820755	0	0	0	0	0.007813	0	0	0	0	0	0.333333	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6
dc95d59392d1e99430ee3e518e0e55d2a3d7c921	24,243	py	Python	db/data/2008/11/get_gzs.py	nataliemcmullen/WikiMiney	562177a74179cb28469604f4fb9d021cebeed0a6	[ "MIT" ]	1	2020-11-18T19:20:58.000Z	2020-11-18T19:20:58.000Z	db/data/2008/11/get_gzs.py	nataliemcmullen/WikiMiney	562177a74179cb28469604f4fb9d021cebeed0a6	[ "MIT" ]	null	null	null	db/data/2008/11/get_gzs.py	nataliemcmullen/WikiMiney	562177a74179cb28469604f4fb9d021cebeed0a6	[ "MIT" ]	null	null	null	urls = [ "pagecounts-20081101-000001.gz", "pagecounts-20081101-010000.gz", "pagecounts-20081101-020000.gz", "pagecounts-20081101-030000.gz", "pagecounts-20081101-040000.gz", "pagecounts-20081101-050001.gz", "pagecounts-20081101-060000.gz", "pagecounts-20081101-070000.gz", "pagecounts-20081101-080000.gz", "pagecounts-20...	32.849593	84	0.783731	2,962	24,243	6.414585	0.037812	0.454105	0.028421	0.001474	0	0	0	0	0	0	0.430962	0.033865	24,243	737	85	32.894166	0.380241	0.002764	0	0	0	0.868418	0.863702	0	0	0	0	0	0	null	null	0	0.001362	null	null	0.001362	0	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	1	1	null	0	0	0	1	0	0	0	0	0	0	0	6
dca12c8a4e5b0341db34ca48db5bc1ae4957ddd0	10,241	py	Python	ocrsite/ocrlab/migrations/0001_initial.py	mikesname/python-ocrlab	435cc2548b38d92f8ffdc4bee8845f5a58d655ce	[ "MIT" ]	4	2016-01-04T09:36:05.000Z	2020-10-18T01:33:39.000Z	ocrsite/ocrlab/migrations/0001_initial.py	mikesname/python-ocrlab	435cc2548b38d92f8ffdc4bee8845f5a58d655ce	[ "MIT" ]	null	null	null	ocrsite/ocrlab/migrations/0001_initial.py	mikesname/python-ocrlab	435cc2548b38d92f8ffdc4bee8845f5a58d655ce	[ "MIT" ]	3	2017-05-04T08:46:45.000Z	2021-10-06T19:25:11.000Z	# encoding: utf-8 import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'Preset' db.create_table('ocrlab_preset', ( ('id', self.gf('django.db.models.fi...	64.00625	174	0.585587	1,095	10,241	5.348858	0.085845	0.087417	0.150589	0.215127	0.779068	0.759262	0.757214	0.735359	0.712652	0.681578	0.008839	0.193536	10,241	159	175	64.408805	0.700327	0.027829	0.48855	0	0	0.487631	0.291935	0	0	0	0	0	1	0.015267	false	0	0.030534	0	0.068702	0	0	0	0	null	0	0	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
dcaf01bcebe9e95a012850cce9fe142ee7956fb5	1,241	py	Python	scripts.old/diff_blend.py	nangtani/blender-import-lwo	0bb9856642e04a44e081f1af4089c842d9b405cb	[ "MIT" ]	33	2020-04-14T07:48:20.000Z	2022-03-30T14:59:33.000Z	scripts.old/diff_blend.py	nangtani/blender-import-lwo	0bb9856642e04a44e081f1af4089c842d9b405cb	[ "MIT" ]	15	2020-04-16T23:27:00.000Z	2022-03-19T16:18:01.000Z	scripts.old/diff_blend.py	nangtani/blender-import-lwo	0bb9856642e04a44e081f1af4089c842d9b405cb	[ "MIT" ]	4	2020-04-22T17:40:11.000Z	2022-02-04T16:37:47.000Z	import os import sys sys.path.append(os.environ["LOCAL_PYTHONPATH"]) from lwo_helper import diff_files, delete_everything def main(): # # outfile0 = "tests/basic/ref_blend/2.80/cycles/LWO2/ngon/ngon0.lwo.blend" # # outfile1 = "tests/basic/dst_blend/2.80/cycles/LWO2/ngon/ngon0.lwo.blend" # # o...	35.457143	93	0.691378	181	1,241	4.574586	0.20442	0.120773	0.077295	0.135266	0.85628	0.85628	0.85628	0.85628	0.830918	0.830918	0.062917	0.154714	1,241	34	94	36.5	0.726406	0.636583	0	0	0.2	0.334118	0.277647	0	0	0	0	0	1	0.1	false	0	0.3	0	0.4	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
f4b01973aab9cd5ae90ff9b7672b6fb5cf74f590	160	py	Python	bot/config/logger.py	guibperes/botnet	4f41f94774fa45f04290668c007bde8b1ae7e948	[ "MIT" ]	null	null	null	bot/config/logger.py	guibperes/botnet	4f41f94774fa45f04290668c007bde8b1ae7e948	[ "MIT" ]	null	null	null	bot/config/logger.py	guibperes/botnet	4f41f94774fa45f04290668c007bde8b1ae7e948	[ "MIT" ]	null	null	null	import logging def logger_init(): logging.basicConfig(format='%(process)s [%(levelname)s] (%(asctime)s) %(threadName)s - %(message)s', level=logging.INFO)	32	124	0.7	21	160	5.285714	0.714286	0	0	0	0	0	0	0	0	0	0	0.1	160	4	125	40	0.770833	0	0	0	0.333333	0.4375	0	0	0	0	0	0	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	null	0	0	0	0	1	1	0	1	0	0	0	6
f4b358b0ecdcbaee8dcaf28ad910d28e89f14e32	101	py	Python	tests/test_day23.py	runfalk/advent-of-code-2019-py	992ab28fc03a9944796688e96536d22b4541bf3f	[ "MIT" ]	null	null	null	tests/test_day23.py	runfalk/advent-of-code-2019-py	992ab28fc03a9944796688e96536d22b4541bf3f	[ "MIT" ]	null	null	null	tests/test_day23.py	runfalk/advent-of-code-2019-py	992ab28fc03a9944796688e96536d22b4541bf3f	[ "MIT" ]	null	null	null	from aoc.day23 import solve def test_solve(): assert solve("data/day23.txt") == (17740, 12567)	16.833333	52	0.683168	15	101	4.533333	0.8	0	0	0	0	0	0	0	0	0	0.166667	0.168317	101	5	53	20.2	0.642857	0	0	0	0	0.138614	0	0	0	0	0	0.333333	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6
f4bc0aa8e5f93035dccd23b6580f6f4f55633390	9,077	py	Python	tests/test_base_api.py	asampat3090/pymeerkat	94ab92535bf88a43300eb3dc8fb70cc3ad83f9a3	[ "MIT" ]	null	null	null	tests/test_base_api.py	asampat3090/pymeerkat	94ab92535bf88a43300eb3dc8fb70cc3ad83f9a3	[ "MIT" ]	3	2015-07-16T06:26:47.000Z	2015-07-16T21:38:28.000Z	tests/test_base_api.py	asampat3090/pymeerkat	94ab92535bf88a43300eb3dc8fb70cc3ad83f9a3	[ "MIT" ]	null	null	null	""" Test cases for the base_api.py file """ # Import generic libraries import unittest # Add relevant dirs to the sys path import env import os # Import library to test import base_api API_VERSION = '1.0' # Read API_KEY from 'my_api_key' in 'tests/' directory OR if os.path.isfile('my_api_key'): with open('my_api...	35.73622	121	0.66652	1,158	9,077	4.917962	0.104491	0.071993	0.114311	0.022827	0.809658	0.752414	0.742757	0.736611	0.735909	0.729236	0.00338	0.250303	9,077	253	122	35.87747	0.833505	0.24821	0.560345	0	0	0.039711	0	0	0	0	0	0.267241	1	0.094828	false	0	0.034483	0	0.137931	0.155172	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
52010d535b2e970b837548d198e51bcfe4f505e7	59	py	Python	elliot/recommender/NN/user_knn/__init__.py	swapUniba/Elliot_refactor-tesi-Ventrella	3ddffc041696c90a6f6d3e8906c212fc4f55f842	[ "Apache-2.0" ]	null	null	null	elliot/recommender/NN/user_knn/__init__.py	swapUniba/Elliot_refactor-tesi-Ventrella	3ddffc041696c90a6f6d3e8906c212fc4f55f842	[ "Apache-2.0" ]	null	null	null	elliot/recommender/NN/user_knn/__init__.py	swapUniba/Elliot_refactor-tesi-Ventrella	3ddffc041696c90a6f6d3e8906c212fc4f55f842	[ "Apache-2.0" ]	1	2021-06-02T06:57:07.000Z	2021-06-02T06:57:07.000Z	from elliot.recommender.NN.user_knn.user_knn import UserKNN	59	59	0.881356	10	59	5	0.8	0.28	0	0	0	0	0	0	0	0	0	0.050847	59	1	59	59	0.892857	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
523c863e99c11f3053687e0105d0e8af145350a0	170	py	Python	tpu_star/__init__.py	shonenkov/TPU-Star	184ca912e4c3e6300af0156213ed792997d1fcc4	[ "Apache-2.0" ]	8	2020-10-28T07:03:20.000Z	2021-12-22T09:10:40.000Z	tpu_star/__init__.py	shonenkov/TPU-Star	184ca912e4c3e6300af0156213ed792997d1fcc4	[ "Apache-2.0" ]	8	2020-10-21T10:00:22.000Z	2021-10-05T18:45:04.000Z	tpu_star/__init__.py	shonenkov/TPU-Star	184ca912e4c3e6300af0156213ed792997d1fcc4	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- from . import datasets, experiment, colab_utils, utils __version__ = '0.0.1-rc10' __all__ = ['datasets', 'experiment', 'colab_utils', 'utils']	21.25	60	0.664706	21	170	4.904762	0.666667	0.349515	0.446602	0.543689	0.640777	0	0	0	0	0	0.041096	0.141176	170	7	61	24.285714	0.664384	0.123529	0	0	0	0.29932	0	0	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
5292eefe114d53fff74bd33058d4916a0aa620fe	8,176	py	Python	build/ARM/python/m5/internal/CreditLink_vector.py	Jakgn/gem5_test	0ba7cc5213cf513cf205af7fc995cf679ebc1a3f	[ "BSD-3-Clause" ]	null	null	null	build/ARM/python/m5/internal/CreditLink_vector.py	Jakgn/gem5_test	0ba7cc5213cf513cf205af7fc995cf679ebc1a3f	[ "BSD-3-Clause" ]	null	null	null	build/ARM/python/m5/internal/CreditLink_vector.py	Jakgn/gem5_test	0ba7cc5213cf513cf205af7fc995cf679ebc1a3f	[ "BSD-3-Clause" ]	null	null	null	# This file was automatically generated by SWIG (http://www.swig.org). # Version 2.0.11 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info if version_info >= (2,6,0): def swig_import_helper(): from os.path impo...	48.958084	107	0.756727	1,032	8,176	5.516473	0.17345	0.163007	0.185491	0.17987	0.496575	0.440014	0.26717	0.109433	0.082031	0.069032	0.004027	0.149584	8,176	166	108	49.253012	0.814756	0.028131	0.145833	1	0	0.030242	0	0	0	0	0	0	1	0.402778	false	0.013889	0.152778	0.347222	0.673611	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
870633847caa0416890f0d64e5fc0ad34c7e4180	20	py	Python	nytram_box2d/shapes/__init__.py	cloew/NytramBox2D	0c01bd592322fcfa8bbf6fc9374e4958edc69f0b	[ "MIT" ]	null	null	null	nytram_box2d/shapes/__init__.py	cloew/NytramBox2D	0c01bd592322fcfa8bbf6fc9374e4958edc69f0b	[ "MIT" ]	1	2021-10-17T10:18:04.000Z	2021-10-17T10:18:04.000Z	nytram_box2d/shapes/__init__.py	cloew/NytramBox2D	0c01bd592322fcfa8bbf6fc9374e4958edc69f0b	[ "MIT" ]	null	null	null	from .box import Box	20	20	0.8	4	20	4	0.75	0	0	0	0	0	0	0	0	0	0	0.15	20	1	20	20	0.941176	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
871ebc6e1f97d365b4a7e4805eb6210fd26cef50	37	py	Python	vedastr/optimizers/__init__.py	csmasters/vedastr	7513384ab503f15dc574c7d92b75ff2092354757	[ "Apache-2.0" ]	475	2020-03-17T01:46:32.000Z	2022-03-29T23:30:15.000Z	vedastr/optimizers/__init__.py	csmasters/vedastr	7513384ab503f15dc574c7d92b75ff2092354757	[ "Apache-2.0" ]	71	2020-04-01T04:17:47.000Z	2021-11-18T06:55:14.000Z	vedastr/optimizers/__init__.py	csmasters/vedastr	7513384ab503f15dc574c7d92b75ff2092354757	[ "Apache-2.0" ]	108	2020-02-21T10:30:37.000Z	2022-03-21T12:03:30.000Z	from .builder import build_optimizer	18.5	36	0.864865	5	37	6.2	1	0	0	0	0	0	0	0	0	0	0	0.108108	37	1	37	37	0.939394	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
872c1e9bced709a6d81e485c6b2f93d21b7f7960	65	py	Python	jptools/mocks/languageHandler.py	riku22/nvdajp	66a828ea89d317e4aa0ad2aed4b3b1e08920afb6	[ "bzip2-1.0.6" ]	19	2016-05-11T05:15:31.000Z	2022-03-17T12:40:10.000Z	jptools/mocks/languageHandler.py	riku22/nvdajp	66a828ea89d317e4aa0ad2aed4b3b1e08920afb6	[ "bzip2-1.0.6" ]	307	2015-08-27T11:22:33.000Z	2022-03-29T10:43:34.000Z	jptools/mocks/languageHandler.py	riku22/nvdajp	66a828ea89d317e4aa0ad2aed4b3b1e08920afb6	[ "bzip2-1.0.6" ]	14	2016-03-28T07:31:49.000Z	2022-03-30T04:56:35.000Z	def setLanguage(lang): pass def getLanguage(): return 'ja-JP'	10.833333	22	0.707692	9	65	5.111111	0.888889	0	0	0	0	0	0	0	0	0	0	0.153846	65	5	23	13	0.836364	0	0	0	0	0.076923	0	0	0	0	0	0	1	0.5	false	0.25	0	0.25	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	1	0	6

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