Split (1)

train · 253k rows

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832c8761a575784e1b640474985a108f44948f54	780	py	Python	utils/system/load_carla.py	Czworldy/GP_traj	96261f39a5a322092e3a6be98938bb4601f0f746	[ "MIT" ]	1	2021-06-08T06:09:55.000Z	2021-06-08T06:09:55.000Z	utils/system/load_carla.py	Czworldy/GP_traj	96261f39a5a322092e3a6be98938bb4601f0f746	[ "MIT" ]	null	null	null	utils/system/load_carla.py	Czworldy/GP_traj	96261f39a5a322092e3a6be98938bb4601f0f746	[ "MIT" ]	null	null	null	import os import sys import glob def load(path): try: # sys.path.append(path+'/PythonAPI') # sys.path.append(glob.glob(path+'/PythonAPI/carla/dist/carla-*%d.%d-%s.egg' % ( # sys.version_info.major, # sys.version_info.minor, # 'win-amd64' if os.name == 'nt' else ...	37.142857	103	0.580769	113	780	3.946903	0.336283	0.078475	0.14574	0.11435	0.784753	0.784753	0.784753	0.784753	0.784753	0.784753	0.041736	0.232051	780	21	104	37.142857	0.702838	0.546154	0	0	0.111111	0.270349	0.165698	0	0	0	0	1	0.111111	false	0	0.333333	0	0.444444	0.111111	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
8355d614004b17bfcb3f45e4442a8b6ec42659c2	183	py	Python	pizza_store/enums/__init__.py	astsu-dev/pizza-store-backend	902f6e5e2c88ba029b2bff61da8fc4684664ead9	[ "MIT" ]	2	2021-07-10T15:47:45.000Z	2021-12-13T18:09:30.000Z	pizza_store/enums/__init__.py	astsu-dev/pizza-store-backend	902f6e5e2c88ba029b2bff61da8fc4684664ead9	[ "MIT" ]	null	null	null	pizza_store/enums/__init__.py	astsu-dev/pizza-store-backend	902f6e5e2c88ba029b2bff61da8fc4684664ead9	[ "MIT" ]	null	null	null	from pizza_store.enums.permissions import CategoryPermission, ProductPermission from pizza_store.enums.role import Role __all__ = ["CategoryPermission", "ProductPermission", "Role"]	36.6	79	0.830601	19	183	7.684211	0.526316	0.123288	0.191781	0.260274	0	0	0	0	0	0	0	0.081967	183	4	80	45.75	0.869048	0	0	0	0	0.213115	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
36a990cc6a6e3e5504c06bc7f2883f381f78b2f2	42	py	Python	lib/django-1.3/django/contrib/messages/__init__.py	MiCHiLU/google_appengine_sdk	3da9f20d7e65e26c4938d2c4054bc4f39cbc5522	[ "Apache-2.0" ]	790	2015-01-03T02:13:39.000Z	2020-05-10T19:53:57.000Z	django/contrib/messages/__init__.py	mradziej/django	5d38965743a369981c9a738a298f467f854a2919	[ "BSD-3-Clause" ]	1,361	2015-01-08T23:09:40.000Z	2020-04-14T00:03:04.000Z	django/contrib/messages/__init__.py	mradziej/django	5d38965743a369981c9a738a298f467f854a2919	[ "BSD-3-Clause" ]	155	2015-01-08T22:59:31.000Z	2020-04-08T08:01:53.000Z	from api import * from constants import *	14	23	0.761905	6	42	5.333333	0.666667	0	0	0	0	0	0	0	0	0	0	0.190476	42	2	24	21	0.941176	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
36e973d4fc94162fdd1e28fa244ac8e1f2e1f0e6	25	py	Python	pylfi/priors/__init__.py	nicolossus/pylfi	7950aff5c36e7368cbe77b32ef348966b905f5cf	[ "MIT" ]	null	null	null	pylfi/priors/__init__.py	nicolossus/pylfi	7950aff5c36e7368cbe77b32ef348966b905f5cf	[ "MIT" ]	null	null	null	pylfi/priors/__init__.py	nicolossus/pylfi	7950aff5c36e7368cbe77b32ef348966b905f5cf	[ "MIT" ]	null	null	null	from .prior import Prior	12.5	24	0.8	4	25	5	0.75	0	0	0	0	0	0	0	0	0	0	0.16	25	1	25	25	0.952381	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
36e987de86625fb265967bed791c06ac9307414b	92	py	Python	altair/__init__.py	jakevdp/altair2	46d391034c5b72867c9e4d01f3a7c7c536533add	[ "BSD-3-Clause" ]	2	2018-02-03T05:35:52.000Z	2018-02-05T21:00:18.000Z	altair/__init__.py	jakevdp/altair2	46d391034c5b72867c9e4d01f3a7c7c536533add	[ "BSD-3-Clause" ]	null	null	null	altair/__init__.py	jakevdp/altair2	46d391034c5b72867c9e4d01f3a7c7c536533add	[ "BSD-3-Clause" ]	null	null	null	from .schema import vegalite_version from .api import Chart from .schema.channels import *	18.4	36	0.804348	13	92	5.615385	0.615385	0.273973	0	0	0	0	0	0	0	0	0	0.141304	92	4	37	23	0.924051	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
36ed2a423ccbe261f9ce0fa402dda9039931c5d3	20,707	py	Python	src/network_architecture.py	kms8527/rl_decision_making_with_uncertainty	7a655e218c432be1498ff19e4811fc7595bd1413	[ "MIT" ]	30	2020-04-27T13:01:58.000Z	2022-03-15T07:15:17.000Z	src/network_architecture.py	kms8527/rl_decision_making_with_uncertainty	7a655e218c432be1498ff19e4811fc7595bd1413	[ "MIT" ]	5	2020-04-23T08:29:36.000Z	2022-02-10T01:26:01.000Z	src/network_architecture.py	kms8527/rl_decision_making_with_uncertainty	7a655e218c432be1498ff19e4811fc7595bd1413	[ "MIT" ]	12	2020-06-11T04:19:53.000Z	2022-02-16T09:30:26.000Z	from keras.models import Sequential, Model from keras.layers import Dense, Activation, Flatten, Lambda, add, Input, Reshape, Conv1D, MaxPooling1D, concatenate import keras.backend as K class NetworkMLP(object): """ This class is used to build a neural network with an MLP structure. There are different fu...	66.796774	120	0.631236	2,572	20,707	4.74028	0.061042	0.040026	0.03937	0.03248	0.920686	0.901657	0.876394	0.842356	0.831037	0.804462	0.0079	0.26648	20,707	309	121	67.012945	0.794786	0.099097	0.613445	0	0	0.059447	0.010538	0	0	0	0.02521	1	0.037815	false	0	0.012605	0	0.058824	0	0	0	0	null	0	0	0	1	1	1	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	0	6
7fc96fdbbeba39e3dc3674c16474510f2cec35d7	36	py	Python	src/aiocleverbot/__init__.py	johan-naizu/aiocleverbot	ca82dbc2eafdee87435903c9b1bace481927996d	[ "MIT" ]	3	2021-05-04T14:21:52.000Z	2021-06-23T15:41:35.000Z	src/aiocleverbot/__init__.py	johan-naizu/aiocleverbot	ca82dbc2eafdee87435903c9b1bace481927996d	[ "MIT" ]	1	2021-05-06T12:17:13.000Z	2022-03-04T10:28:18.000Z	src/aiocleverbot/__init__.py	johan-naizu/aiocleverbot	ca82dbc2eafdee87435903c9b1bace481927996d	[ "MIT" ]	null	null	null	from .aiocleverbot import cleverbot	18	35	0.861111	4	36	7.75	1	0	0	0	0	0	0	0	0	0	0	0.111111	36	1	36	36	0.96875	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
7fce90d6f92015e289905a4d20814ef61f94859e	24	py	Python	gdbplotlib/__init__.py	X-Neon/gdbplotlib	80c4d59826f3f91275bb223c77ecabc49ae90578	[ "MIT" ]	20	2020-03-14T00:52:39.000Z	2022-01-18T22:33:19.000Z	gdbplotlib/__init__.py	X-Neon/gdbplotlib	80c4d59826f3f91275bb223c77ecabc49ae90578	[ "MIT" ]	1	2021-11-18T08:21:38.000Z	2021-11-20T21:24:58.000Z	gdbplotlib/__init__.py	X-Neon/gdbplotlib	80c4d59826f3f91275bb223c77ecabc49ae90578	[ "MIT" ]	1	2021-02-23T00:04:43.000Z	2021-02-23T00:04:43.000Z	from . import plot, save	24	24	0.75	4	24	4.5	1	0	0	0	0	0	0	0	0	0	0	0.166667	24	1	24	24	0.9	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
3d14cc836ef8377ba4048d1c88819aa8f9e1d94d	2,647	py	Python	OCRLibrary/utils/imagereading/text_locating.py	bendurston/robotframework-ocrlibrary	da310346a60260165118cba112995e58ebb3a103	[ "Apache-2.0" ]	5	2021-05-19T07:09:43.000Z	2022-02-10T16:33:05.000Z	OCRLibrary/utils/imagereading/text_locating.py	bendurston/robotframework-ocrlibrary	da310346a60260165118cba112995e58ebb3a103	[ "Apache-2.0" ]	3	2021-05-19T07:15:28.000Z	2021-05-23T20:12:41.000Z	OCRLibrary/utils/imagereading/text_locating.py	bendurston/robotframework-ocrlibrary	da310346a60260165118cba112995e58ebb3a103	[ "Apache-2.0" ]	1	2021-05-19T07:10:03.000Z	2021-05-19T07:10:03.000Z	""" Text locating module. """ from pytesseract import image_to_data, Output def return_text_coordinates(img, text, pyt_conf, lang): """ This keyword is find the coordinates of text in an image. """ data = image_to_data(img, output_type=Output.DICT, config=pyt_conf, lang=lang) boxes = len(data['lev...	38.362319	115	0.622592	398	2,647	3.934673	0.155779	0.103448	0.061303	0.03576	0.836526	0.808429	0.773946	0.742018	0.742018	0.742018	0.00592	0.234227	2,647	68	116	38.926471	0.76665	0.113714	0.666667	0	0	0.04741	0	0	0	0	0	1	0.083333	false	0	0.020833	0	0.270833	0	0	0	0	null	0	0	0	1	1	1	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	0	6
3d46c4af15c615220255c7edeb7f8324b1f6dce6	37	py	Python	vase/__init__.py	gantzgraf/vape	f939cb527d72d852cb0919a57332110c15c5fd4a	[ "MIT" ]	4	2020-03-25T06:09:39.000Z	2021-03-23T11:22:00.000Z	vase/__init__.py	gantzgraf/vape	f939cb527d72d852cb0919a57332110c15c5fd4a	[ "MIT" ]	1	2020-10-02T14:50:30.000Z	2020-10-12T15:24:24.000Z	vase/__init__.py	gantzgraf/vape	f939cb527d72d852cb0919a57332110c15c5fd4a	[ "MIT" ]	1	2021-02-20T11:32:34.000Z	2021-02-20T11:32:34.000Z	from vase.version import __version__	18.5	36	0.864865	5	37	5.6	0.8	0	0	0	0	0	0	0	0	0	0	0.108108	37	1	37	37	0.848485	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
3d5db949fe9eba516f73d8617a97cf0aeaa0d4a9	108	py	Python	popcorn_gallery/notifications/context_processors.py	Koenkk/popcorn_maker	0978b9f98dacd4e8eb753404b24eb584f410aa11	[ "BSD-3-Clause" ]	15	2015-03-23T02:55:20.000Z	2021-01-12T12:42:30.000Z	popcorn_gallery/notifications/context_processors.py	Koenkk/popcorn_maker	0978b9f98dacd4e8eb753404b24eb584f410aa11	[ "BSD-3-Clause" ]	null	null	null	popcorn_gallery/notifications/context_processors.py	Koenkk/popcorn_maker	0978b9f98dacd4e8eb753404b24eb584f410aa11	[ "BSD-3-Clause" ]	16	2015-02-18T21:43:31.000Z	2021-11-09T22:50:03.000Z	from .models import Notice def notifications(request): return {'notice_list': Notice.live.all()[:5]}	18	50	0.703704	14	108	5.357143	0.857143	0	0	0	0	0	0	0	0	0	0.01087	0.148148	108	5	51	21.6	0.804348	0	0	0	0	0.101852	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
e9f2f22fd79eef346224db15cb32a1f63571d160	40	py	Python	tools/bianjie.py	bianjie0618/marked_SiamMask	51d2aa832a74b76a5cd63aae274d1dea1dc16a2c	[ "MIT" ]	null	null	null	tools/bianjie.py	bianjie0618/marked_SiamMask	51d2aa832a74b76a5cd63aae274d1dea1dc16a2c	[ "MIT" ]	null	null	null	tools/bianjie.py	bianjie0618/marked_SiamMask	51d2aa832a74b76a5cd63aae274d1dea1dc16a2c	[ "MIT" ]	null	null	null	import torch # print(torch.__version__)	13.333333	26	0.8	5	40	5.6	0.8	0	0	0	0	0	0	0	0	0	0	0.1	40	3	26	13.333333	0.777778	0.6	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
18598366367edfcefb01654f69c2bd013d7ae463	3,892	py	Python	tests/test_functions.py	theblackfly/protoflow	02a77e59f6afc8d462a738874d06eca810911166	[ "MIT" ]	3	2020-10-07T05:04:05.000Z	2021-02-10T15:04:55.000Z	tests/test_functions.py	theblackfly/protoflow	02a77e59f6afc8d462a738874d06eca810911166	[ "MIT" ]	5	2020-04-09T13:36:15.000Z	2020-12-17T16:30:50.000Z	tests/test_functions.py	theblackfly/protoflow	02a77e59f6afc8d462a738874d06eca810911166	[ "MIT" ]	2	2020-10-01T21:48:16.000Z	2021-04-10T18:20:25.000Z	"""ProtoFlow functions test suite.""" import unittest import numpy as np from protoflow.functions import distances class TestDistances(unittest.TestCase): def setUp(self): pass def test_lpnorm_p2_1d(self): # yapf: disable x = np.array([[0, 0]], dtype='float32') w = np.array...	36.373832	77	0.487153	476	3,892	3.882353	0.12605	0.020563	0.105519	0.083333	0.829545	0.8171	0.8171	0.790584	0.777056	0.777056	0.139044	0.355087	3,892	106	78	36.716981	0.597211	0.049846	0.625	0	0	0.0326	0	0	0	0	0.15	1	0.0875	false	0.0125	0.0375	0	0.1375	0	0	0	0	null	0	0	0	1	1	1	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	0	6
185bde9e31af09145e63b665a66f4c0b53a750fe	26	py	Python	pyopt_tools/__init__.py	Fus3n/pyopt-tools	ec30de59c885fc1f03b1256d931131b22e1cf5b7	[ "MIT" ]	2	2022-01-08T21:09:37.000Z	2022-01-12T16:09:04.000Z	pyopt_tools/__init__.py	Fus3n/pyopt-tools	ec30de59c885fc1f03b1256d931131b22e1cf5b7	[ "MIT" ]	null	null	null	pyopt_tools/__init__.py	Fus3n/pyopt-tools	ec30de59c885fc1f03b1256d931131b22e1cf5b7	[ "MIT" ]	null	null	null	from pyopt_tools import *	13	25	0.807692	4	26	5	1	0	0	0	0	0	0	0	0	0	0	0.153846	26	1	26	26	0.909091	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a14d4177b56d1da2699f6d71ae1b86091568fbe8	136	py	Python	myML/myml.py	bobbyisot/MachineLearning	522f2a832d457ea6d14f8f8c72fca44bc15f59db	[ "MIT" ]	null	null	null	myML/myml.py	bobbyisot/MachineLearning	522f2a832d457ea6d14f8f8c72fca44bc15f59db	[ "MIT" ]	null	null	null	myML/myml.py	bobbyisot/MachineLearning	522f2a832d457ea6d14f8f8c72fca44bc15f59db	[ "MIT" ]	null	null	null	class Test_2020(object): def __init__(self): self.a = 1 print(f'success') def add_a(self): self.a += 1	17	25	0.529412	20	136	3.3	0.65	0.242424	0.272727	0.30303	0	0	0	0	0	0	0.066667	0.338235	136	7	26	19.428571	0.666667	0	0	0	0	0.051471	0	0	0	0	0	1	0.333333	false	0	0	0	0.5	0.166667	1	0	0	null	1	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	0	0	6
a1aec7d801aea5ebf861295cb9900e84026ee22b	32	py	Python	cit-api/pipeline/tests/views/__init__.py	bcgov/CIT	b9db4f169b52e9a6293b3ee1e61935888074215a	[ "Apache-2.0" ]	10	2020-11-12T15:13:40.000Z	2022-03-05T22:33:08.000Z	cit-api/pipeline/tests/views/__init__.py	bcgov/CIT	b9db4f169b52e9a6293b3ee1e61935888074215a	[ "Apache-2.0" ]	28	2020-07-17T16:33:55.000Z	2022-03-21T16:24:25.000Z	cit-api/pipeline/tests/views/__init__.py	bcgov/CIT	b9db4f169b52e9a6293b3ee1e61935888074215a	[ "Apache-2.0" ]	5	2020-11-02T23:39:53.000Z	2022-03-01T19:09:45.000Z	from .test_opportunity import *	16	31	0.8125	4	32	6.25	1	0	0	0	0	0	0	0	0	0	0	0.125	32	1	32	32	0.892857	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
b80ed33f2221b2a3732b6390e63d6a5350d7dd13	43	py	Python	pextant/analysis/kmlsupport.py	norheim/pextant	f4235719279c0e6f178ae1e0f8b1ea3346533915	[ "MIT" ]	null	null	null	pextant/analysis/kmlsupport.py	norheim/pextant	f4235719279c0e6f178ae1e0f8b1ea3346533915	[ "MIT" ]	1	2019-12-03T03:52:41.000Z	2019-12-04T14:50:36.000Z	pextant/analysis/kmlsupport.py	norheim/pextant	f4235719279c0e6f178ae1e0f8b1ea3346533915	[ "MIT" ]	1	2019-12-03T02:37:57.000Z	2019-12-03T02:37:57.000Z	from pykml.factory import KML_ElementMaker	21.5	42	0.883721	6	43	6.166667	1	0	0	0	0	0	0	0	0	0	0	0.093023	43	1	43	43	0.948718	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
62ce75ed0bc80d716e869ec2ea08d0c3839e1ab4	354	py	Python	ensemble_boxes/__init__.py	Sergey-Zlobin/Weighted-Boxes-Fusion	773ed6f9513ade442c0f89885f3a36d95cf0629d	[ "MIT" ]	2	2021-07-19T05:19:00.000Z	2022-03-06T03:48:02.000Z	ensemble_boxes/__init__.py	Sergey-Zlobin/Weighted-Boxes-Fusion	773ed6f9513ade442c0f89885f3a36d95cf0629d	[ "MIT" ]	null	null	null	ensemble_boxes/__init__.py	Sergey-Zlobin/Weighted-Boxes-Fusion	773ed6f9513ade442c0f89885f3a36d95cf0629d	[ "MIT" ]	1	2021-09-15T21:26:39.000Z	2021-09-15T21:26:39.000Z	# coding: utf-8 __author__ = 'ZFTurbo: https://kaggle.com/zfturbo' from .ensemble_boxes_wbf import weighted_boxes_fusion from .ensemble_boxes_nmw import non_maximum_weighted from .ensemble_boxes_nms import nms_method from .ensemble_boxes_nms import nms from .ensemble_boxes_nms import soft_nms from .ensemble_boxes_wbf_...	39.333333	59	0.861582	55	354	5.072727	0.4	0.258065	0.365591	0.215054	0.301075	0.207885	0	0	0	0	0.009288	0.087571	354	9	59	39.333333	0.854489	0.036723	0	0	0	0.102941	0	0	0	0	0	1	0	false	0	0.857143	0	0.857143	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
a7fd14f6753ca35ce9c471c3412feedb1e337095	16,068	py	Python	models/backbones/resnet.py	crutcher/stylelens	8df3704f56fe6a30395eadcb1aee2e11563dfabb	[ "MIT" ]	null	null	null	models/backbones/resnet.py	crutcher/stylelens	8df3704f56fe6a30395eadcb1aee2e11563dfabb	[ "MIT" ]	null	null	null	models/backbones/resnet.py	crutcher/stylelens	8df3704f56fe6a30395eadcb1aee2e11563dfabb	[ "MIT" ]	null	null	null	# ------------------------------------------------------------------------------ # Libraries # ------------------------------------------------------------------------------ from collections import OrderedDict import torch.nn as nn from timm.models.resnet import BasicBlock, Bottleneck from timm.models.resnet import R...	35.236842	97	0.627521	1,953	16,068	4.952381	0.111111	0.083747	0.080645	0.066791	0.837883	0.80428	0.798904	0.780294	0.772643	0.762717	0.052735	0.238798	16,068	455	98	35.314286	0.738043	0.255539	0.616613	0	0	0.026334	0	0	0	0	0	1	0.092652	false	0	0.019169	0	0.204473	0	0	0	0	null	0	0	0	1	1	1	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	0	6
c51382a38a7e8c406e1db5aa246ad6bdb7e3cd0b	45,129	py	Python	tests/test_filtering.py	SimonHurst/py-pdf-parser	4186115b64115e9916475d4a034542a64f57457b	[ "MIT" ]	null	null	null	tests/test_filtering.py	SimonHurst/py-pdf-parser	4186115b64115e9916475d4a034542a64f57457b	[ "MIT" ]	null	null	null	tests/test_filtering.py	SimonHurst/py-pdf-parser	4186115b64115e9916475d4a034542a64f57457b	[ "MIT" ]	null	null	null	import re from mock import patch, call from py_pdf_parser.components import PDFDocument, PDFElement from py_pdf_parser.common import BoundingBox from py_pdf_parser.exceptions import NoElementFoundError, MultipleElementsFoundError from py_pdf_parser.filtering import ElementList from py_pdf_parser.loaders import Page ...	40.29375	88	0.638348	5,642	45,129	4.833392	0.033676	0.078034	0.084048	0.049468	0.918959	0.893106	0.876824	0.853025	0.839347	0.805574	0.035491	0.249529	45,129	1,119	89	40.329759	0.769694	0.034745	0.600227	0	0	0.026445	0	0	0	0	0.291053	1	0.0453	false	0	0.010193	0	0.056625	0	0	0	0	null	0	0	0	1	1	1	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	0	6
3d6fa83aaa7061e3a55d9c3e540e727756dc2c22	187	py	Python	venv/Lib/site-packages/dpyConsole/errors.py	oOperaho/Cruzeiro	57730376e8ac347531984ef49fc1349e084c2b5a	[ "MIT" ]	13	2020-10-07T04:21:24.000Z	2022-01-31T20:36:55.000Z	venv/Lib/site-packages/dpyConsole/errors.py	oOperaho/Cruzeiro	57730376e8ac347531984ef49fc1349e084c2b5a	[ "MIT" ]	null	null	null	venv/Lib/site-packages/dpyConsole/errors.py	oOperaho/Cruzeiro	57730376e8ac347531984ef49fc1349e084c2b5a	[ "MIT" ]	1	2021-06-17T00:35:41.000Z	2021-06-17T00:35:41.000Z	class CommandNotFound(Exception): def __init__(self, command_name): self.name = command_name def __str__(self): return f"Command with name {self.name} not found"	26.714286	57	0.684492	24	187	4.916667	0.583333	0.186441	0.20339	0	0	0	0	0	0	0	0	0.224599	187	6	58	31.166667	0.813793	0	0	0	0	0.208556	0	0	0	0	0	1	0.4	false	0	0	0.2	0.8	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
3d7b80b28194fbc97331a5b7daf2ad20906fbcac	78	py	Python	openmc/stats/__init__.py	janmalec/openmc	4a4ac4c351d41fe153ca3341820cc507e484ce50	[ "MIT" ]	262	2018-08-09T21:27:03.000Z	2022-03-24T05:02:10.000Z	openmc/stats/__init__.py	janmalec/openmc	4a4ac4c351d41fe153ca3341820cc507e484ce50	[ "MIT" ]	753	2018-08-03T15:26:57.000Z	2022-03-29T23:54:48.000Z	openmc/stats/__init__.py	janmalec/openmc	4a4ac4c351d41fe153ca3341820cc507e484ce50	[ "MIT" ]	196	2018-08-06T13:41:14.000Z	2022-03-29T20:47:12.000Z	from openmc.stats.univariate import * from openmc.stats.multivariate import *	26	39	0.820513	10	78	6.4	0.6	0.3125	0.46875	0	0	0	0	0	0	0	0	0.102564	78	2	40	39	0.914286	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
3da4f12db67ec8b91adf11ccf7fcf30560ac096b	48	py	Python	automix/transition/__init__.py	MZehren/Automix	dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43	[ "MIT" ]	18	2020-07-20T01:51:40.000Z	2022-02-25T07:32:11.000Z	automix/transition/__init__.py	MZehren/Automix	dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43	[ "MIT" ]	2	2021-03-23T03:26:02.000Z	2021-07-19T12:51:25.000Z	automix/transition/__init__.py	MZehren/Automix	dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43	[ "MIT" ]	5	2021-01-03T15:34:28.000Z	2022-02-22T06:07:06.000Z	""" Package which generates the transitions. """	16	40	0.729167	5	48	7	1	0	0	0	0	0	0	0	0	0	0	0.125	48	3	41	16	0.833333	0.833333	null	1	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	1	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	6
3da92e496b52c4b7d556be4b0b8d8845da5e22bd	34,473	py	Python	train_helper.py	ItGirls/event_extraction	b8b3bd9c5c34e7a1be086a7fcd608ef89335e4c1	[ "MIT" ]	203	2020-05-18T02:26:24.000Z	2022-03-30T09:49:42.000Z	train_helper.py	ItGirls/event_extraction	b8b3bd9c5c34e7a1be086a7fcd608ef89335e4c1	[ "MIT" ]	14	2020-05-19T02:34:16.000Z	2021-09-10T07:52:31.000Z	train_helper.py	djj-djj/event_extraction	dfecdbb7d0a905495065cc7a0a4afd10e6dd1130	[ "MIT" ]	34	2020-05-19T02:25:26.000Z	2022-03-30T09:49:34.000Z	import os import numpy as np import time import logging from common_utils import set_logger import tensorflow as tf from sklearn.metrics import f1_score from models.bert_mrc import bert_mrc_model_fn_builder from models.bert_event_type_classification import bert_classification_model_fn_builder from data_processing.dat...	63.603321	320	0.711542	4,807	34,473	4.641564	0.052216	0.029446	0.040158	0.037469	0.953164	0.937926	0.919102	0.904401	0.891583	0.871818	0.00432	0.18748	34,473	541	321	63.720887	0.792253	0.229281	0.657068	0	0	0.141133	0.082843	0	0	0	0	1	0.02356	false	0	0.044503	0	0.081152	0.015707	0	0	0	null	0	0	0	1	1	1	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	0	6
3daed6f58209c91edf2eaa9ed7eb396be2af00ff	4,451	py	Python	tests/test_process_listing.py	ProzorroUKR/prozorro_chronograph	f8a560322259b5bb07035b133f545a614130de73	[ "Apache-2.0" ]	null	null	null	tests/test_process_listing.py	ProzorroUKR/prozorro_chronograph	f8a560322259b5bb07035b133f545a614130de73	[ "Apache-2.0" ]	null	null	null	tests/test_process_listing.py	ProzorroUKR/prozorro_chronograph	f8a560322259b5bb07035b133f545a614130de73	[ "Apache-2.0" ]	null	null	null	from uuid import uuid4 from datetime import timedelta from unittest.mock import patch, Mock from freezegun import freeze_time from prozorro_chronograph.utils import get_now from prozorro_chronograph.scheduler import process_listing, push from prozorro_chronograph.settings import TZ from .base import BaseTenderTest ...	42.390476	118	0.6439	529	4,451	5.136106	0.175803	0.047111	0.133971	0.145749	0.802356	0.7788	0.773647	0.763342	0.763342	0.749356	0.018294	0.238598	4,451	104	119	42.798077	0.783417	0	0.653061	0	0	0.239721	0.137048	0	0	0	0.163265	1	0	false	0	0.081633	0	0.091837	0	0	0	0	null	0	0	0	1	1	1	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	0	6
3db81911591cf7db62ea9a321497d44bb4cc2036	118	py	Python	examples/rietveld/rietveld_helper/views.py	NaN-tic/django-gae2django	ea3bc1e8aa9e072bf93b131816e0d20e1795c999	[ "Apache-2.0" ]	3	2015-05-04T13:49:41.000Z	2017-04-25T06:27:39.000Z	examples/rietveld/rietveld_helper/views.py	NaN-tic/django-gae2django	ea3bc1e8aa9e072bf93b131816e0d20e1795c999	[ "Apache-2.0" ]	1	2021-05-21T20:01:35.000Z	2021-05-21T20:01:35.000Z	examples/rietveld/rietveld_helper/views.py	NaN-tic/django-gae2django	ea3bc1e8aa9e072bf93b131816e0d20e1795c999	[ "Apache-2.0" ]	2	2020-11-13T17:43:42.000Z	2021-05-21T20:01:32.000Z	from django.http import HttpResponseRedirect def admin_redirect(request): return HttpResponseRedirect('/admin/')	23.6	44	0.805085	12	118	7.833333	0.833333	0	0	0	0	0	0	0	0	0	0	0.110169	118	4	45	29.5	0.895238	0	0	0	0	0.059322	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
3ddbea75aa0c18cb6e05235979d67b9d5d5b30a2	81	py	Python	accounts/admin_inlines.py	biotech2021/uniTicket	8c441eac18e67a983e158326b1c4b82f00f1f1ef	[ "Apache-2.0" ]	15	2019-09-06T06:47:08.000Z	2022-01-17T06:39:54.000Z	accounts/admin_inlines.py	biotech2021/uniTicket	8c441eac18e67a983e158326b1c4b82f00f1f1ef	[ "Apache-2.0" ]	69	2019-09-06T12:03:19.000Z	2022-03-26T14:30:53.000Z	accounts/admin_inlines.py	biotech2021/uniTicket	8c441eac18e67a983e158326b1c4b82f00f1f1ef	[ "Apache-2.0" ]	13	2019-09-11T10:54:20.000Z	2021-11-23T09:09:19.000Z	from django import forms from django.contrib import admin from .models import *	16.2	32	0.802469	12	81	5.416667	0.583333	0.307692	0	0	0	0	0	0	0	0	0	0.160494	81	4	33	20.25	0.955882	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9a780bff9e57996d58fffbbf3bd5e95b123ddaca	615	py	Python	biz/t9.py	relax-space/python-learning	22987e20a4b0a741e1c5ed8603a952a0fc8dd4bd	[ "Apache-2.0" ]	null	null	null	biz/t9.py	relax-space/python-learning	22987e20a4b0a741e1c5ed8603a952a0fc8dd4bd	[ "Apache-2.0" ]	null	null	null	biz/t9.py	relax-space/python-learning	22987e20a4b0a741e1c5ed8603a952a0fc8dd4bd	[ "Apache-2.0" ]	null	null	null	import pytest @pytest.fixture() def a1(tmp_path_factory, worker_id): return 11 # @pytest.mark.parametrize('common_arg1', [{}]) class TestParametrized: @pytest.mark.parametrize(('a','b'), [{0:[1],1:[22]}],ids=['12','23']) def test_1(self, a1, a,b): print(a1) pass # @pytest.mark.par...	21.206897	73	0.560976	84	615	3.952381	0.416667	0.210843	0.253012	0.150602	0	0	0	0	0	0	0.073913	0.252033	615	28	74	21.964286	0.647826	0.489431	0	0	0	0.019868	0	0	0	0	0	1	0.222222	false	0.111111	0.111111	0.111111	0.555556	0.111111	0	0	0	null	1	1	0	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	1	0	6
9aa0cd2ac436f5c595fac6dd4b232f01a919c0bb	26	py	Python	build/lib/ajaira/__init__.py	amitrm/ajaira	aca6b4970cc134480f0e0b9b313dccb86558b738	[ "MIT" ]	null	null	null	build/lib/ajaira/__init__.py	amitrm/ajaira	aca6b4970cc134480f0e0b9b313dccb86558b738	[ "MIT" ]	null	null	null	build/lib/ajaira/__init__.py	amitrm/ajaira	aca6b4970cc134480f0e0b9b313dccb86558b738	[ "MIT" ]	null	null	null	from ajaira.jinis import *	26	26	0.807692	4	26	5.25	1	0	0	0	0	0	0	0	0	0	0	0.115385	26	1	26	26	0.913043	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9aa695b63f4986f611994222d09b78d25bf4ca16	114	py	Python	python/speak/goodbye.py	kyle-cook/templates	f1047a8c31a42507acbd7a27e66db0825be811a6	[ "MIT" ]	null	null	null	python/speak/goodbye.py	kyle-cook/templates	f1047a8c31a42507acbd7a27e66db0825be811a6	[ "MIT" ]	null	null	null	python/speak/goodbye.py	kyle-cook/templates	f1047a8c31a42507acbd7a27e66db0825be811a6	[ "MIT" ]	null	null	null	def goodbyeworld(): """ Prints Goodbye World! to the STDOUT screen buffer """ return "Goodbye World!"	28.5	61	0.649123	13	114	5.692308	0.846154	0.324324	0	0	0	0	0	0	0	0	0	0.236842	114	4	62	28.5	0.850575	0.429825	0	0	0	0.241379	0	0	0	0	0	1	0.5	true	0	0	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	1	0	6
9ac2c5d0c20d5fbe9178b654996a021b76f88a41	13,612	py	Python	tests/test_priors.py	RobinAlgayres/beer	15ad0dad5a49f98e658e948724e05df347ffe3b8	[ "MIT" ]	46	2018-02-27T18:15:08.000Z	2022-02-16T22:10:55.000Z	tests/test_priors.py	RobinAlgayres/beer	15ad0dad5a49f98e658e948724e05df347ffe3b8	[ "MIT" ]	16	2018-01-26T14:18:51.000Z	2021-02-05T09:34:00.000Z	tests/test_priors.py	RobinAlgayres/beer	15ad0dad5a49f98e658e948724e05df347ffe3b8	[ "MIT" ]	26	2018-03-12T14:03:26.000Z	2021-05-24T21:15:01.000Z	'Test the priors package.' import sys sys.path.insert(0, './') sys.path.insert(0, './tests') import unittest import torch import beer from basetest import BaseTest class BaseTestPrior(BaseTest): def test_exp_sufficient_statistics(self): stats1 = self.prior.expected_sufficient_statistics() copie...	42.273292	89	0.580223	1,339	13,612	5.790889	0.071695	0.080088	0.049523	0.061904	0.813903	0.803585	0.798942	0.763348	0.727753	0.704282	0.00818	0.209668	13,612	321	90	42.404984	0.712586	0.01484	0.626667	0	0	0.022278	0.013851	0	0	0	0.186667	1	0.137778	false	0	0.022222	0	0.208889	0	0	0	0	null	0	0	0	1	1	1	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	0	6
9ae0ad7d8e5c931eee5b2d6ddc09b58506666f70	173	py	Python	algorithm/__init__.py	zzhmark/insitu	6b0f51e9b92601ca80b94b4c1c6b82655fd1b68a	[ "MIT" ]	1	2020-09-07T08:28:56.000Z	2020-09-07T08:28:56.000Z	algorithm/__init__.py	zzhmark/insitu	6b0f51e9b92601ca80b94b4c1c6b82655fd1b68a	[ "MIT" ]	null	null	null	algorithm/__init__.py	zzhmark/insitu	6b0f51e9b92601ca80b94b4c1c6b82655fd1b68a	[ "MIT" ]	null	null	null	from .batch import batch_apply from .preprocessing import extract, register from .GMM import global_gmm, local_gmm from .scoring import global_gmm_compare, local_gmm_compare	43.25	58	0.855491	26	173	5.423077	0.461538	0.170213	0.212766	0	0	0	0	0	0	0	0	0.104046	173	4	58	43.25	0.909677	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9ae6c715427b06f449d9a8409cc86e92e851bb7e	36	py	Python	src/linkstation/__init__.py	iKaew/linkstation	098e145a00c447bb4cf480b60645ae383136c3d9	[ "MIT" ]	null	null	null	src/linkstation/__init__.py	iKaew/linkstation	098e145a00c447bb4cf480b60645ae383136c3d9	[ "MIT" ]	null	null	null	src/linkstation/__init__.py	iKaew/linkstation	098e145a00c447bb4cf480b60645ae383136c3d9	[ "MIT" ]	null	null	null	from .linkstation import LinkStation	36	36	0.888889	4	36	8	0.75	0	0	0	0	0	0	0	0	0	0	0.083333	36	1	36	36	0.969697	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9aed91d742e76d2c41e4a10555e49d79b6f2f884	10,800	py	Python	tests/test_core/test_core.py	TomVollerthun1337/logsmith	f2ecab4dea295d5493a9a3e77a2837b13fa139e5	[ "Apache-2.0" ]	19	2020-01-18T00:25:43.000Z	2022-03-14T07:39:08.000Z	tests/test_core/test_core.py	TomVollerthun1337/logsmith	f2ecab4dea295d5493a9a3e77a2837b13fa139e5	[ "Apache-2.0" ]	85	2020-01-21T12:13:56.000Z	2022-03-31T04:01:03.000Z	tests/test_core/test_core.py	TomVollerthun1337/logsmith	f2ecab4dea295d5493a9a3e77a2837b13fa139e5	[ "Apache-2.0" ]	2	2020-06-25T06:15:19.000Z	2021-02-15T18:17:38.000Z	from unittest import TestCase, mock from unittest.mock import call, Mock from app.core.config import Config from app.core.result import Result from app.core.core import Core from tests.test_data.test_accounts import get_test_accounts from tests.test_data.test_results import get_success_result, get_error_result, get_fa...	42.687747	111	0.718796	1,365	10,800	5.331136	0.065201	0.101003	0.067885	0.041775	0.84664	0.803078	0.791123	0.772021	0.760066	0.730521	0.007024	0.182685	10,800	252	112	42.857143	0.817379	0	0.587302	0	0	0.067778	0.033333	0	0	0	0.248677	1	0.089947	false	0	0.037037	0	0.132275	0	0	0	0	null	0	0	0	1	1	1	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	0	6
b10c673c60ab16d18a47df85e8a0518a30dea1bb	11,931	py	Python	apis/nb/clients/identity_manager_client/V2ScalablegroupApi.py	CiscoDevNet/APIC-EM-Generic-Scripts-	74211d9488f1e77cf56ef86dba20ec8e8eb49cc1	[ "ECL-2.0", "Apache-2.0" ]	45	2016-06-09T15:41:25.000Z	2019-08-06T17:13:11.000Z	apis/nb/clients/identity_manager_client/V2ScalablegroupApi.py	CiscoDevNet/APIC-EM-Generic-Scripts	74211d9488f1e77cf56ef86dba20ec8e8eb49cc1	[ "ECL-2.0", "Apache-2.0" ]	36	2016-06-12T03:03:56.000Z	2017-03-13T18:20:11.000Z	apis/nb/clients/identity_manager_client/V2ScalablegroupApi.py	CiscoDevNet/APIC-EM-Generic-Scripts	74211d9488f1e77cf56ef86dba20ec8e8eb49cc1	[ "ECL-2.0", "Apache-2.0" ]	15	2016-06-22T03:51:37.000Z	2019-07-10T10:06:02.000Z	#!/usr/bin/env python #pylint: skip-file # This source code is licensed under the Apache license found in the # LICENSE file in the root directory of this project. import sys import os import urllib.request, urllib.parse, urllib.error from .models import * class V2ScalablegroupApi(object): def __init__(self, ...	25.277542	116	0.526025	945	11,931	6.637037	0.142857	0.045599	0.049426	0.020089	0.781091	0.781091	0.781091	0.776626	0.776626	0.776626	0.001215	0.379013	11,931	471	117	25.33121	0.845323	0.100159	0.816425	0	0	0.144871	0.016738	0	0	0	0	1	0.038647	false	0	0.019324	0	0.130435	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
49082ded2358d451f3a446c6629c4569ee6c21fc	33	py	Python	utils/parsers/__init__.py	jvsn19/tcc	8ca9434deb50903ef23e712a079ed159dd7c28b6	[ "MIT" ]	null	null	null	utils/parsers/__init__.py	jvsn19/tcc	8ca9434deb50903ef23e712a079ed159dd7c28b6	[ "MIT" ]	1	2021-02-25T22:37:49.000Z	2021-02-25T22:37:49.000Z	utils/parsers/__init__.py	jvsn19/tcc	8ca9434deb50903ef23e712a079ed159dd7c28b6	[ "MIT" ]	null	null	null	from .TCCParser import TCCParser	16.5	32	0.848485	4	33	7	0.75	0	0	0	0	0	0	0	0	0	0	0.121212	33	1	33	33	0.965517	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
49197d58f50419a076f1129a8ab1be883c2698d6	42	py	Python	runtime/musl-lkl/apps/python/helloworld.py	dme26/intravisor	9bf9c50aa14616bd9bd66eee47623e8b61514058	[ "MIT" ]	11	2022-02-05T12:12:43.000Z	2022-03-08T08:09:08.000Z	runtime/musl-lkl/apps/python/helloworld.py	dme26/intravisor	9bf9c50aa14616bd9bd66eee47623e8b61514058	[ "MIT" ]	null	null	null	runtime/musl-lkl/apps/python/helloworld.py	dme26/intravisor	9bf9c50aa14616bd9bd66eee47623e8b61514058	[ "MIT" ]	1	2022-02-22T20:32:22.000Z	2022-02-22T20:32:22.000Z	print("Hello world from CHERI python\n");	21	41	0.738095	7	42	4.428571	1	0	0	0	0	0	0	0	0	0	0	0.119048	42	1	42	42	0.837838	0	0	0	0	0.738095	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	0	0	0	1	6
4953c7d4287407342e1c774902be0cc3504df9b9	26	py	Python	models/__init__.py	bolero2/vggnet-torch	912046be3f0581e0217c2cf5b596e6318aad241b	[ "Apache-2.0" ]	2	2021-04-23T03:49:30.000Z	2021-04-23T03:49:33.000Z	models/__init__.py	bolero2/vggnet-torch	912046be3f0581e0217c2cf5b596e6318aad241b	[ "Apache-2.0" ]	null	null	null	models/__init__.py	bolero2/vggnet-torch	912046be3f0581e0217c2cf5b596e6318aad241b	[ "Apache-2.0" ]	null	null	null	from .models import VGGNet	26	26	0.846154	4	26	5.5	1	0	0	0	0	0	0	0	0	0	0	0.115385	26	1	26	26	0.956522	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
4967a3e2a09b3fe98ed0fc8d035d3e866c664dc5	70	py	Python	continual_learning/methods/task_incremental/multi_task/gg/super_mask_pruning/base/__init__.py	jaryP/ContinualAI	7d9b7614066d219ebd72049692da23ad6ec132b0	[ "MIT" ]	null	null	null	continual_learning/methods/task_incremental/multi_task/gg/super_mask_pruning/base/__init__.py	jaryP/ContinualAI	7d9b7614066d219ebd72049692da23ad6ec132b0	[ "MIT" ]	null	null	null	continual_learning/methods/task_incremental/multi_task/gg/super_mask_pruning/base/__init__.py	jaryP/ContinualAI	7d9b7614066d219ebd72049692da23ad6ec132b0	[ "MIT" ]	null	null	null	from .distributions import * from .layer import * from .utils import *	23.333333	28	0.757143	9	70	5.888889	0.555556	0.377358	0	0	0	0	0	0	0	0	0	0.157143	70	3	29	23.333333	0.898305	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
498d46e1852df10e7f414e05b90a9d8080e31f36	99	py	Python	override/__main__.py	davidhyman/override	e34bd3c8676233439de5c002367b3bff5c1b88d6	[ "MIT" ]	null	null	null	override/__main__.py	davidhyman/override	e34bd3c8676233439de5c002367b3bff5c1b88d6	[ "MIT" ]	1	2017-07-11T22:03:27.000Z	2017-07-11T22:03:27.000Z	override/__main__.py	davidhyman/override	e34bd3c8676233439de5c002367b3bff5c1b88d6	[ "MIT" ]	null	null	null	from override.cli import init_from_command if __name__ == '__main__': init_from_command()	19.8	43	0.737374	13	99	4.692308	0.692308	0.262295	0.491803	0	0	0	0	0	0	0	0	0.181818	99	4	44	24.75	0.753086	0	0	0	0	0.084211	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
77053c923f7a5dc49b4a3bfa5219f2cbffa44bce	178	py	Python	virl/generators/__init__.py	gve-vse-tim/virlutils	64687229ea8763509aca54b63144b61037e5228f	[ "MIT" ]	12	2018-03-27T14:02:22.000Z	2018-06-07T16:19:38.000Z	virl/generators/__init__.py	gve-vse-tim/virlutils	64687229ea8763509aca54b63144b61037e5228f	[ "MIT" ]	29	2017-12-14T16:38:12.000Z	2018-08-19T18:41:06.000Z	virl/generators/__init__.py	gve-vse-tim/virlutils	64687229ea8763509aca54b63144b61037e5228f	[ "MIT" ]	7	2018-03-02T15:42:22.000Z	2020-04-20T11:25:32.000Z	from .pyats_testbed import pyats_testbed_generator # noqa from .ansible_inventory import ansible_inventory_generator # noqa from .nso_payload import nso_payload_generator # noqa	44.5	65	0.865169	24	178	6.041667	0.416667	0.268966	0.234483	0	0	0	0	0	0	0	0	0.101124	178	3	66	59.333333	0.90625	0.078652	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
773cfab9368b9d43a339a35fda07e8f99d190375	42,300	py	Python	pybind/slxos/v17r_2_00/isis_state/interface_detail/isis_intf/circ_metrics/__init__.py	extremenetworks/pybind	44c467e71b2b425be63867aba6e6fa28b2cfe7fb	[ "Apache-2.0" ]	null	null	null	pybind/slxos/v17r_2_00/isis_state/interface_detail/isis_intf/circ_metrics/__init__.py	extremenetworks/pybind	44c467e71b2b425be63867aba6e6fa28b2cfe7fb	[ "Apache-2.0" ]	null	null	null	pybind/slxos/v17r_2_00/isis_state/interface_detail/isis_intf/circ_metrics/__init__.py	extremenetworks/pybind	44c467e71b2b425be63867aba6e6fa28b2cfe7fb	[ "Apache-2.0" ]	1	2021-11-05T22:15:42.000Z	2021-11-05T22:15:42.000Z	from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from d...	70.265781	610	0.725839	5,692	42,300	5.123858	0.038651	0.040459	0.081468	0.050883	0.886096	0.860175	0.840665	0.83103	0.821944	0.816595	0.016329	0.14435	42,300	601	611	70.382696	0.789468	0.182057	0.48494	0	0.039157	0.360276	0.189733	0	0	0	0	1	0.126506	false	0	0.024096	0	0.262048	0	0	0	0	null	0	0	0	1	1	1	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	0	6
774192f08d5bb7ebb989858494927682c42cfedf	3,802	py	Python	pkgs/sdk-pkg/src/genie/libs/sdk/triggers/ha/reload/iosxe/reload.py	miott/genielibs	6464642cdd67aa2367bdbb12561af4bb060e5e62	[ "Apache-2.0" ]	null	null	null	pkgs/sdk-pkg/src/genie/libs/sdk/triggers/ha/reload/iosxe/reload.py	miott/genielibs	6464642cdd67aa2367bdbb12561af4bb060e5e62	[ "Apache-2.0" ]	null	null	null	pkgs/sdk-pkg/src/genie/libs/sdk/triggers/ha/reload/iosxe/reload.py	miott/genielibs	6464642cdd67aa2367bdbb12561af4bb060e5e62	[ "Apache-2.0" ]	null	null	null	'''IOSXE implementation for Reload triggers''' # import ats from ats import aetest # Genie Libs from genie.libs.sdk.triggers.ha.ha import \ TriggerReload as CommonReload, \ TriggerReloadLc class TriggerReload(CommonReload): @aetest.setup def verify_prerequisite...	28.162963	71	0.548659	370	3,802	5.610811	0.162162	0.072254	0.033719	0.04817	0.879576	0.879576	0.879576	0.879576	0.879576	0.879576	0	0.372173	3,802	135	72	28.162963	0.869711	0.449237	0.689655	0	0	0.184006	0	0	0	0	0	1	0.172414	false	0	0.068966	0	0.413793	0	0	0	0	null	0	0	0	1	1	1	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	0	6
774d460a44b1fd2cd9d90a55b8b07a67072600b3	276	py	Python	data-mining/cluster-analysis/assignment/clustering-data/python/evaluation.py	4979/courses	dd9efa0a6b60cead833f36a6bfa518dd4fece17f	[ "Apache-2.0" ]	null	null	null	data-mining/cluster-analysis/assignment/clustering-data/python/evaluation.py	4979/courses	dd9efa0a6b60cead833f36a6bfa518dd4fece17f	[ "Apache-2.0" ]	null	null	null	data-mining/cluster-analysis/assignment/clustering-data/python/evaluation.py	4979/courses	dd9efa0a6b60cead833f36a6bfa518dd4fece17f	[ "Apache-2.0" ]	null	null	null	from math import log, sqrt def purity(groundtruthAssignment, algorithmAssignment): purity = 0 # TODO # Compute the purity return purity def NMI(groundtruthAssignment, algorithmAssignment): NMI = 0 # TODO # Compute the NMI return NMI	15.333333	56	0.67029	29	276	6.37931	0.517241	0.432432	0.12973	0.162162	0	0	0	0	0	0	0.01	0.275362	276	17	57	16.235294	0.915	0.17029	0	0	0	0	0	0	0	0.058824	0	1	0.285714	false	0	0.142857	0	0.714286	0	1	0	0	null	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	0	0	0	1	0	6
775bc3bb5cf03f67a9509200927ca3defa6a2451	11,302	py	Python	leap/datasets/sim_dataset.py	weirayao/leap	8d10b8413d02d3be49d5c02a13a0aa60a741d8da	[ "MIT" ]	7	2022-01-06T18:37:57.000Z	2022-03-20T17:11:30.000Z	leap/datasets/sim_dataset.py	weirayao/leap	8d10b8413d02d3be49d5c02a13a0aa60a741d8da	[ "MIT" ]	null	null	null	leap/datasets/sim_dataset.py	weirayao/leap	8d10b8413d02d3be49d5c02a13a0aa60a741d8da	[ "MIT" ]	null	null	null	import os import glob import torch import random import numpy as np from torch.utils.data import Dataset import ipdb as pdb class SimulationDataset(Dataset): def __init__(self, directory, transition="linear_nongaussian"): super().__init__() assert transition in ["linear_nongaussian", "post_non...	41.098182	133	0.580871	1,507	11,302	4.096881	0.088918	0.088111	0.092971	0.099125	0.843213	0.810334	0.786524	0.77713	0.728377	0.717687	0.01467	0.246063	11,302	275	134	41.098182	0.709893	0.017077	0.662222	0	0	0.132126	0.058813	0	0	0	0.031111	1	0.128889	false	0	0.031111	0.04	0.288889	0	0	0	0	null	0	0	0	1	1	1	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	0	6
6200e1b1ca6a347279d51d109eef180ba174fd5b	90	py	Python	src/__init__.py	HaritzPuerto/Entity_Extractor	30abbbbb45eb2cbdc836ee00dd4e38137ef653a0	[ "Apache-2.0" ]	2	2022-03-14T12:46:06.000Z	2022-03-31T09:14:56.000Z	src/__init__.py	HaritzPuerto/Entity_Extractor	30abbbbb45eb2cbdc836ee00dd4e38137ef653a0	[ "Apache-2.0" ]	1	2022-03-20T14:18:04.000Z	2022-03-20T14:18:04.000Z	src/__init__.py	HaritzPuerto/Entity_Extractor	30abbbbb45eb2cbdc836ee00dd4e38137ef653a0	[ "Apache-2.0" ]	null	null	null	from .SRL import SRL_model from .NER import Entity_model from .Flair_NER import Flair_NER	22.5	32	0.833333	16	90	4.4375	0.4375	0.253521	0	0	0	0	0	0	0	0	0	0.133333	90	3	33	30	0.910256	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
6217e3d9ff366fbd5edc0aa942ec7886403f289c	49	py	Python	201801/t3.py	xyFryan/python3	9c9b2e6be4e27fa7f78bb2b1c4c3146d3c174741	[ "MIT" ]	null	null	null	201801/t3.py	xyFryan/python3	9c9b2e6be4e27fa7f78bb2b1c4c3146d3c174741	[ "MIT" ]	null	null	null	201801/t3.py	xyFryan/python3	9c9b2e6be4e27fa7f78bb2b1c4c3146d3c174741	[ "MIT" ]	null	null	null	#!/usr/bin/python3 import test test.print_test();	16.333333	18	0.755102	8	49	4.5	0.75	0	0	0	0	0	0	0	0	0	0.021739	0.061224	49	3	19	16.333333	0.76087	0.346939	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	1	0	null	0	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	0	1	6
62270c545d771421ce9c6674abf357cbcd9be1a9	28	py	Python	server/__init__.py	Jugbot/AWS-Mechanical-Turk-Audio-Classification	a65c8f258b6a8fd8dc55c75c688b08eb51907c60	[ "MIT" ]	1	2019-04-05T16:26:51.000Z	2019-04-05T16:26:51.000Z	server/__init__.py	Jugbot/AWS-Mechanical-Turk-Audio-Classification	a65c8f258b6a8fd8dc55c75c688b08eb51907c60	[ "MIT" ]	null	null	null	server/__init__.py	Jugbot/AWS-Mechanical-Turk-Audio-Classification	a65c8f258b6a8fd8dc55c75c688b08eb51907c60	[ "MIT" ]	null	null	null	from server.main import app	14	27	0.821429	5	28	4.6	1	0	0	0	0	0	0	0	0	0	0	0.142857	28	1	28	28	0.958333	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
6230323b42853ba1481e85e248e497f79da3fe56	258	py	Python	src/domain/system.py	gmdlba/simulation	d47b58417bf7380f2bbf552275f9b3e51253e1a5	[ "MIT" ]	null	null	null	src/domain/system.py	gmdlba/simulation	d47b58417bf7380f2bbf552275f9b3e51253e1a5	[ "MIT" ]	null	null	null	src/domain/system.py	gmdlba/simulation	d47b58417bf7380f2bbf552275f9b3e51253e1a5	[ "MIT" ]	null	null	null	class System_Status(): def __init__(self, plant_state=None): if plant_state is None: plant_state = [1, 1, 1] self.plant_state = plant_state def __str__(self): return f"El estado de la planta es {self.plant_state}"	32.25	62	0.631783	38	258	3.894737	0.552632	0.405405	0.283784	0	0	0	0	0	0	0	0.016043	0.275194	258	8	62	32.25	0.775401	0	0	0	0	0.169884	0	0	0	0	0	1	0.285714	false	0	0	0.142857	0.571429	0	0	0	0	null	1	1	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	0	1	1	0	6
624eaff1c656c15da5c07040c0e7ff8f095597be	2,722	py	Python	dl/models/vgg/vgg.py	jjjkkkjjj/pytorch.dl	d82aa1191c14f328c62de85e391ac6fa1b4c7ee3	[ "MIT" ]	2	2021-02-06T22:40:13.000Z	2021-03-26T09:15:34.000Z	dl/models/vgg/vgg.py	jjjkkkjjj/pytorch.dl	d82aa1191c14f328c62de85e391ac6fa1b4c7ee3	[ "MIT" ]	8	2020-07-11T07:10:51.000Z	2022-03-12T00:39:03.000Z	dl/models/vgg/vgg.py	jjjkkkjjj/pytorch.dl	d82aa1191c14f328c62de85e391ac6fa1b4c7ee3	[ "MIT" ]	2	2021-03-26T09:19:42.000Z	2021-07-27T02:38:09.000Z	from torch import nn from ...models.vgg.base import VGGBase from ..layers import Conv2d from collections import OrderedDict """ https://stackoverflow.com/questions/55140554/convolutional-encoder-error-runtimeerror-input-and-target-shapes-do-not-matc/55143487#55143487 Here is the formula; N --> Input Size, F --> Filte...	29.912088	139	0.6205	339	2,722	4.734513	0.238938	0.137072	0.249221	0.04486	0.739564	0.739564	0.739564	0.739564	0.709034	0.709034	0.10292	0.23255	2,722	90	140	30.244444	0.66539	0	0.625	0	0	0.019896	0	0	0	0	0	1	0.083333	false	0	0.083333	0	0.25	0	0	0	0	null	0	1	0	0	1	1	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	0	6
658f841c46696234266c0bbf55da63fdc81b7dff	122	py	Python	subdomains/admin.py	sjy5386/subshorts	d8170ee4a66989c3e852f86aa83bab6341e3aa10	[ "MIT" ]	3	2022-03-08T19:02:41.000Z	2022-03-16T23:04:37.000Z	subdomains/admin.py	sjy5386/subshorts	d8170ee4a66989c3e852f86aa83bab6341e3aa10	[ "MIT" ]	5	2022-03-17T02:16:52.000Z	2022-03-18T02:55:25.000Z	subdomains/admin.py	sjy5386/subshorts	d8170ee4a66989c3e852f86aa83bab6341e3aa10	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import * admin.site.register(Subdomain) admin.site.register(ReservedName)	17.428571	33	0.811475	16	122	6.1875	0.625	0.222222	0.343434	0	0	0	0	0	0	0	0	0.098361	122	6	34	20.333333	0.9	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	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	0	0	6
65edf682b39992b397ab3a02ee656721d844a71d	191	py	Python	pytorch_mask_rcnn/datasets/__init__.py	JinchengHeRyan/STATS402_Final_MaskRcnn	c8103751008afb2f969c7e321a7e843a50c0f681	[ "MIT" ]	null	null	null	pytorch_mask_rcnn/datasets/__init__.py	JinchengHeRyan/STATS402_Final_MaskRcnn	c8103751008afb2f969c7e321a7e843a50c0f681	[ "MIT" ]	null	null	null	pytorch_mask_rcnn/datasets/__init__.py	JinchengHeRyan/STATS402_Final_MaskRcnn	c8103751008afb2f969c7e321a7e843a50c0f681	[ "MIT" ]	null	null	null	from .utils import * try: from .coco_eval import CocoEvaluator, prepare_for_coco except ImportError: pass try: from .dali import DALICOCODataLoader except ImportError: pass	15.916667	58	0.748691	23	191	6.086957	0.608696	0.1	0.3	0	0	0	0	0	0	0	0	0.204188	191	11	59	17.363636	0.921053	0	0.666667	0	0	0	0	0	0	0	0	1	0	true	0.222222	0.555556	0	0.555556	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
02945d19eebbe4dd9cc640f7077e8d492e5632ed	48	py	Python	pyglobe3d/core/icosalogic/__init__.py	ka-tet19/pyglobelib	d62f7636f5f971b897eba8fcf787fabb5ed181f1	[ "BSD-3-Clause" ]	null	null	null	pyglobe3d/core/icosalogic/__init__.py	ka-tet19/pyglobelib	d62f7636f5f971b897eba8fcf787fabb5ed181f1	[ "BSD-3-Clause" ]	null	null	null	pyglobe3d/core/icosalogic/__init__.py	ka-tet19/pyglobelib	d62f7636f5f971b897eba8fcf787fabb5ed181f1	[ "BSD-3-Clause" ]	null	null	null	from pyglobe3d.core.icosalogic.mesh import Mesh	24	47	0.854167	7	48	5.857143	0.857143	0	0	0	0	0	0	0	0	0	0.022727	0.083333	48	1	48	48	0.909091	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
02b0b575523bd9ae71f87863129e7a6af9f09c87	4,419	py	Python	tests/test_rewards.py	GeorgianBadita/Dronem-gym-envirnoment	f3b488f6a4b55722c4b129051555a68d7775278c	[ "MIT" ]	5	2020-06-13T10:43:42.000Z	2022-01-25T10:37:32.000Z	tests/test_rewards.py	GeorgianBadita/Dronem-gym-envirnoment	f3b488f6a4b55722c4b129051555a68d7775278c	[ "MIT" ]	null	null	null	tests/test_rewards.py	GeorgianBadita/Dronem-gym-envirnoment	f3b488f6a4b55722c4b129051555a68d7775278c	[ "MIT" ]	null	null	null	""" @author: Badita Marin-Georgian @email: geo.badita@gmail.com @date: 24.03.2020 23:44 """ from env_interpretation import State, settings from env_interpretation.reward_utils import OneMinusOneRewardGiverAllowIllegal from env_interpretation.utils import n_from_prod def test_one_minus_one_reward_bad_...	40.916667	126	0.649695	580	4,419	4.586207	0.131034	0.105263	0.057519	0.071053	0.872556	0.860902	0.860902	0.860902	0.807519	0.807519	0.053092	0.224259	4,419	107	127	41.299065	0.72287	0.056574	0.697368	0	0	0.078909	0	0	0	0	0.118421	1	0.052632	false	0	0.039474	0	0.092105	0	0	0	0	null	0	0	0	1	1	1	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	0	6
02d0cb10c454325e6ea54791f5698f384b461991	186	py	Python	env/gym_nav/envs/__init__.py	liuandrew/training-rl-algo	ca56d65209de0bf88ac1e1db2269bb7daac4da47	[ "MIT" ]	null	null	null	env/gym_nav/envs/__init__.py	liuandrew/training-rl-algo	ca56d65209de0bf88ac1e1db2269bb7daac4da47	[ "MIT" ]	null	null	null	env/gym_nav/envs/__init__.py	liuandrew/training-rl-algo	ca56d65209de0bf88ac1e1db2269bb7daac4da47	[ "MIT" ]	null	null	null	from gym_nav.envs.nav_env import NavEnv from gym_nav.envs.nav_env_flat import NavEnvFlat from gym_nav.envs.morris_env import MorrisNav from gym_nav.envs.gridworld_env import GridworldNav	46.5	51	0.876344	33	186	4.666667	0.393939	0.181818	0.25974	0.363636	0.25974	0.25974	0	0	0	0	0	0.080645	186	4	51	46.5	0.900585	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
02e53fadc815c7b93be7c8aadcc291f00ebcd0a7	1,041	py	Python	Lab/Project2/15/cubes.py	doubleliao/PyCrashCourse	d6a0b62f3b8ea9fee5efde9edd9006ca3961be25	[ "MIT" ]	null	null	null	Lab/Project2/15/cubes.py	doubleliao/PyCrashCourse	d6a0b62f3b8ea9fee5efde9edd9006ca3961be25	[ "MIT" ]	null	null	null	Lab/Project2/15/cubes.py	doubleliao/PyCrashCourse	d6a0b62f3b8ea9fee5efde9edd9006ca3961be25	[ "MIT" ]	null	null	null	""" 15-1. Cubes: A number raised to the third power is a cube. Plot the first five cubic numbers, and then plot the first 5000 cubic numbers. """ import matplotlib.pyplot as plt x_s = range(1, 6) y_s = [x**3 for x in x_s] plt.style.use('seaborn') fig, ax = plt.subplots() ax.scatter(x_s, y_s, edgecolor='red', s=40) ...	24.209302	78	0.708934	195	1,041	3.692308	0.353846	0.016667	0.083333	0.066667	0.752778	0.752778	0.752778	0.752778	0.752778	0.655556	0.060403	0.14121	1,041	43	79	24.209302	0.744966	0.269933	0.782609	0	0	0.121495	0	0	0	0	0	1	0	false	0	0.086957	0	0.086957	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
f3231ec6848564972b88abca0761e8fdfb2e1e7a	141	py	Python	en/062/python/main.py	franciscogomes2020/exercises	8b33c4b9349a9331e4002a8225adc2a482c70024	[ "MIT" ]	null	null	null	en/062/python/main.py	franciscogomes2020/exercises	8b33c4b9349a9331e4002a8225adc2a482c70024	[ "MIT" ]	null	null	null	en/062/python/main.py	franciscogomes2020/exercises	8b33c4b9349a9331e4002a8225adc2a482c70024	[ "MIT" ]	null	null	null	# Improve CHALLENGE 061 by asking the user if he wants to show some more terms. The program will exit when it says it wants to show 0 terms.	70.5	140	0.77305	28	141	3.892857	0.785714	0.12844	0.201835	0	0	0	0	0	0	0	0.035714	0.205674	141	1	141	141	0.9375	0.978723	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	6
b835c2f17babd04b2aadc3e55adf33f090e6e815	13,218	py	Python	tests/layers/test_recurrent_layers.py	FGDBTKD/neupy	1f5e1ae9364e8c7816df79678a4648c689d2a5d1	[ "MIT" ]	null	null	null	tests/layers/test_recurrent_layers.py	FGDBTKD/neupy	1f5e1ae9364e8c7816df79678a4648c689d2a5d1	[ "MIT" ]	null	null	null	tests/layers/test_recurrent_layers.py	FGDBTKD/neupy	1f5e1ae9364e8c7816df79678a4648c689d2a5d1	[ "MIT" ]	null	null	null	import numpy as np from sklearn.model_selection import train_test_split from neupy.exceptions import LayerConnectionError from neupy.datasets import reber from neupy import layers, algorithms, init from base import BaseTestCase def add_padding(data): n_sampels = len(data) max_seq_length = max(map(len, data)...	33.979434	74	0.599183	1,594	13,218	4.719573	0.09724	0.023262	0.027914	0.030706	0.910408	0.896052	0.868404	0.836236	0.810714	0.788382	0.0262	0.29543	13,218	388	75	34.06701	0.781596	0.011197	0.621711	0	0	0.019905	0.001761	0	0	0	0.115132	1	0.098684	false	0	0.019737	0	0.134868	0	0	0	0	null	0	0	0	1	1	1	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	0	6
b885c62c90c7043f7b93c2fed73cd96a9a5b3e70	104	py	Python	labext/prelude.py	binh-vu/ipywidgets_extra	3ddf46445306b2aa158bf3f696ec33f8ddd499e7	[ "MIT" ]	3	2020-06-21T22:57:55.000Z	2021-06-03T23:36:39.000Z	labext/prelude.py	binh-vu/ipywidgets_extra	3ddf46445306b2aa158bf3f696ec33f8ddd499e7	[ "MIT" ]	null	null	null	labext/prelude.py	binh-vu/ipywidgets_extra	3ddf46445306b2aa158bf3f696ec33f8ddd499e7	[ "MIT" ]	1	2020-06-20T19:50:37.000Z	2020-06-20T19:50:37.000Z	import labext.modules as M import labext.widgets as W import labext.apps as A from labext.tag import Tag	26	26	0.817308	20	104	4.25	0.55	0.423529	0	0	0	0	0	0	0	0	0	0.144231	104	4	27	26	0.955056	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
b21f92eeaeb951819c01d10ed2515ea53ac09d75	34	py	Python	tudo/ex001.py	Ramon-Erik/Exercicios-Python	158a7f1846dd3d486aa0517fa337d46d73aab649	[ "MIT" ]	1	2021-07-08T00:35:57.000Z	2021-07-08T00:35:57.000Z	tudo/ex001.py	Ramon-Erik/Exercicios-Python	158a7f1846dd3d486aa0517fa337d46d73aab649	[ "MIT" ]	null	null	null	tudo/ex001.py	Ramon-Erik/Exercicios-Python	158a7f1846dd3d486aa0517fa337d46d73aab649	[ "MIT" ]	null	null	null	print('Olá, mundo! Olá usuário!')	17	33	0.676471	5	34	4.6	0.8	0	0	0	0	0	0	0	0	0	0	0.117647	34	1	34	34	0.766667	0	0	0	0	0.705882	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	0	0	0	1	6
b221778ec011db0189ab1af3f784b1474b34b6cb	60	py	Python	PBO/PBO_18142/Latihan_6.3parameter2.py	rosnialabania/PBO	597c71d778483b97443a3944a03cea759771fecc	[ "MIT" ]	null	null	null	PBO/PBO_18142/Latihan_6.3parameter2.py	rosnialabania/PBO	597c71d778483b97443a3944a03cea759771fecc	[ "MIT" ]	null	null	null	PBO/PBO_18142/Latihan_6.3parameter2.py	rosnialabania/PBO	597c71d778483b97443a3944a03cea759771fecc	[ "MIT" ]	null	null	null	def hello(rosnia_labania): print("hello {rosnia_labania}")	15	31	0.766667	8	60	5.5	0.625	0.5	0.818182	0	0	0	0	0	0	0	0	0.083333	60	3	32	20	0.8	0	0	0	0	0.366667	0	0	0	0	0	0	null	null	0	0	null	null	0.5	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	1	6
b243ed1a20a70fa0d6069e81221bb36a885f7d21	42	py	Python	lib/dao/rdbms/__init__.py	the-constant/fammelody	970fb3a4a5d5d0dffd19f22a8a75cbf226fd57c2	[ "Apache-2.0" ]	null	null	null	lib/dao/rdbms/__init__.py	the-constant/fammelody	970fb3a4a5d5d0dffd19f22a8a75cbf226fd57c2	[ "Apache-2.0" ]	null	null	null	lib/dao/rdbms/__init__.py	the-constant/fammelody	970fb3a4a5d5d0dffd19f22a8a75cbf226fd57c2	[ "Apache-2.0" ]	null	null	null	from .legal import * from .market import *	21	21	0.738095	6	42	5.166667	0.666667	0	0	0	0	0	0	0	0	0	0	0.166667	42	2	21	21	0.885714	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a2707bc4d9ab391f8afe81038cbbb0dd668cd0bc	221	py	Python	dataduct/etl/__init__.py	hillsdale18/ProjectX	4518d724eeb8ac73a6eae1d076d4846244e0944a	[ "Apache-2.0" ]	3	2017-12-29T11:26:15.000Z	2022-02-11T16:44:28.000Z	dataduct/etl/__init__.py	hillsdale18/ProjectX	4518d724eeb8ac73a6eae1d076d4846244e0944a	[ "Apache-2.0" ]	7	2017-09-21T23:25:24.000Z	2021-03-29T21:46:45.000Z	dataduct/etl/__init__.py	recurly/dataduct	29aec3526e170e5ad3b59a135780e72b69209f0b	[ "Apache-2.0" ]	1	2020-05-12T08:54:38.000Z	2020-05-12T08:54:38.000Z	from .etl_actions import activate_pipeline from .etl_actions import create_pipeline from .etl_actions import read_pipeline_definition from .etl_actions import validate_pipeline from .etl_actions import visualize_pipeline	36.833333	49	0.886878	31	221	5.967742	0.354839	0.189189	0.378378	0.540541	0.454054	0	0	0	0	0	0	0.090498	221	5	50	44.2	0.920398	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a283da01f94b6cd141c889c9bc8fdabba19ea5e8	39	py	Python	quiz_mill/__init__.py	eoas-ubc/quiz_mill	922989244964e2147ecac9186bdafae8d8f91813	[ "MIT", "BSD-3-Clause" ]	null	null	null	quiz_mill/__init__.py	eoas-ubc/quiz_mill	922989244964e2147ecac9186bdafae8d8f91813	[ "MIT", "BSD-3-Clause" ]	null	null	null	quiz_mill/__init__.py	eoas-ubc/quiz_mill	922989244964e2147ecac9186bdafae8d8f91813	[ "MIT", "BSD-3-Clause" ]	1	2021-06-01T23:03:17.000Z	2021-06-01T23:03:17.000Z	from .solve_layers import do_two_matrix	39	39	0.897436	7	39	4.571429	1	0	0	0	0	0	0	0	0	0	0	0.076923	39	1	39	39	0.888889	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a2b7207bc1f4292b9acf62355ca2faac44b9dd87	16	py	Python	test/login.py	hongren798911/xuexigit	a0925a222db9468333e3e91aa6b76423f01326b7	[ "MIT" ]	null	null	null	test/login.py	hongren798911/xuexigit	a0925a222db9468333e3e91aa6b76423f01326b7	[ "MIT" ]	null	null	null	test/login.py	hongren798911/xuexigit	a0925a222db9468333e3e91aa6b76423f01326b7	[ "MIT" ]	null	null	null	a = 10 dev = 1	4	7	0.4375	4	16	1.75	1	0	0	0	0	0	0	0	0	0	0.333333	0.4375	16	3	8	5.333333	0.444444	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	1	null	0	0	0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
a2c0e4d57badbdb14df6f2cb71bc2e477f8a177e	112	py	Python	PokerRL/rl/base_cls/workers/__init__.py	MAWUT0R/PokerRL	95708a5f7a16cb151bc4253132bdfd22ea7a9b25	[ "MIT" ]	247	2019-06-20T16:41:36.000Z	2022-03-28T11:40:12.000Z	PokerRL/rl/base_cls/workers/__init__.py	MAWUT0R/PokerRL	95708a5f7a16cb151bc4253132bdfd22ea7a9b25	[ "MIT" ]	11	2019-08-23T09:20:31.000Z	2021-12-05T23:44:27.000Z	PokerRL/rl/base_cls/workers/__init__.py	MAWUT0R/PokerRL	95708a5f7a16cb151bc4253132bdfd22ea7a9b25	[ "MIT" ]	61	2019-06-17T06:06:11.000Z	2022-03-01T17:55:44.000Z	from .ChiefBase import * from .DriverBase import * from .ParameterServerBase import * from .WorkerBase import *	22.4	34	0.785714	12	112	7.333333	0.5	0.340909	0	0	0	0	0	0	0	0	0	0.142857	112	4	35	28	0.916667	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a2c373f29ed31ee9058b99d7c574372addb8c851	33	py	Python	goto_cloud/commander/public.py	jdepoix/goto_cloud	59bb9923026e1b1dc6e8e08fb6b21300c8e8854a	[ "MIT" ]	2	2018-02-04T23:22:17.000Z	2019-04-15T12:06:04.000Z	goto_cloud/commander/public.py	jdepoix/goto_cloud	59bb9923026e1b1dc6e8e08fb6b21300c8e8854a	[ "MIT" ]	null	null	null	goto_cloud/commander/public.py	jdepoix/goto_cloud	59bb9923026e1b1dc6e8e08fb6b21300c8e8854a	[ "MIT" ]	null	null	null	from .commander import Commander	16.5	32	0.848485	4	33	7	0.75	0	0	0	0	0	0	0	0	0	0	0.121212	33	1	33	33	0.965517	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a2d32c6029cfe13c7fc37f21be0adfcdc61e5002	38	py	Python	Ep. 1/gameengine/__init__.py	mandaw2014/gameengine_tutorial	9a2edb85e7885b36e04fdb9132508a0c13b5a42b	[ "MIT" ]	null	null	null	Ep. 1/gameengine/__init__.py	mandaw2014/gameengine_tutorial	9a2edb85e7885b36e04fdb9132508a0c13b5a42b	[ "MIT" ]	null	null	null	Ep. 1/gameengine/__init__.py	mandaw2014/gameengine_tutorial	9a2edb85e7885b36e04fdb9132508a0c13b5a42b	[ "MIT" ]	null	null	null	from gameengine.main import GameEngine	38	38	0.894737	5	38	6.8	0.8	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	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a2f066ba35848bffc041b1d139b4f42d9a1b1d93	54	py	Python	scripts/templates/fastApiCrud/partials/controller_init_property.py	sulthonzh/zaruba	ec9262f43da17d86330da2c593b7da451aabd60f	[ "Apache-2.0" ]	null	null	null	scripts/templates/fastApiCrud/partials/controller_init_property.py	sulthonzh/zaruba	ec9262f43da17d86330da2c593b7da451aabd60f	[ "Apache-2.0" ]	null	null	null	scripts/templates/fastApiCrud/partials/controller_init_property.py	sulthonzh/zaruba	ec9262f43da17d86330da2c593b7da451aabd60f	[ "Apache-2.0" ]	null	null	null	self.zaruba_entity_name_repo = zaruba_entity_name_repo	54	54	0.925926	9	54	4.888889	0.555556	0.545455	0.727273	0.909091	0	0	0	0	0	0	0	0.037037	54	1	54	54	0.846154	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	6
0c2c76f272fe46dc5497b0937a3efe7982ce8d65	192	py	Python	remind/admin.py	jscpeterson/reminders	f1ad78daff6314a697a32a0a52d5ac16aa54eeca	[ "FSFAP" ]	null	null	null	remind/admin.py	jscpeterson/reminders	f1ad78daff6314a697a32a0a52d5ac16aa54eeca	[ "FSFAP" ]	null	null	null	remind/admin.py	jscpeterson/reminders	f1ad78daff6314a697a32a0a52d5ac16aa54eeca	[ "FSFAP" ]	null	null	null	from django.contrib import admin from cases.models import Case, Motion from remind.models import Deadline admin.site.register(Case) admin.site.register(Deadline) admin.site.register(Motion)	21.333333	37	0.822917	28	192	5.642857	0.464286	0.170886	0.322785	0.316456	0	0	0	0	0	0	0	0.09375	192	8	38	24	0.908046	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	1	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
a75c2a14a99561b27bca85847bf349af8fad1f76	62	py	Python	test_impall.py	rec/import_all	2d864d016ce9b320521fcaa9f5206d5cbef19107	[ "MIT" ]	1	2019-05-26T15:09:32.000Z	2019-05-26T15:09:32.000Z	test_impall.py	rec/import_all	2d864d016ce9b320521fcaa9f5206d5cbef19107	[ "MIT" ]	12	2019-05-13T12:56:13.000Z	2019-10-01T13:30:12.000Z	test_impall.py	rec/impall	2d864d016ce9b320521fcaa9f5206d5cbef19107	[ "MIT" ]	null	null	null	import impall class ImpAllTest(impall.ImpAllTest): pass	10.333333	36	0.758065	7	62	6.714286	0.714286	0	0	0	0	0	0	0	0	0	0	0.177419	62	5	37	12.4	0.921569	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
a75d277fba51dec40450eb94f734ae3f79b9b574	10,509	py	Python	lib/services/server/ncloud_server/__init__.py	KidongSohn/ncloud-sdk-py	1c62471a9bd320d77164ed3193a0ebb9f64229ff	[ "MIT" ]	null	null	null	lib/services/server/ncloud_server/__init__.py	KidongSohn/ncloud-sdk-py	1c62471a9bd320d77164ed3193a0ebb9f64229ff	[ "MIT" ]	null	null	null	lib/services/server/ncloud_server/__init__.py	KidongSohn/ncloud-sdk-py	1c62471a9bd320d77164ed3193a0ebb9f64229ff	[ "MIT" ]	null	null	null	# coding: utf-8 # flake8: noqa """ server OpenAPI spec version: 2018-06-22T02:34:44Z Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import # import apis into sdk package from ncloud_server.api.v2_api import V2Api # import ApiClient from nclou...	80.838462	134	0.929013	1,220	10,509	7.571311	0.159016	0.119086	0.190538	0.243261	0.498863	0.47169	0.443651	0.323915	0.182743	0.073184	0.001798	0.047483	10,509	129	135	81.465116	0.920979	0.02103	0	1	0	0	0	0	0	0	0	1	0	true	0.027027	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a7b77a219f5aefa517f37b7dd044873b918acf5c	2,804	py	Python	lib/status/commands/http_request.py	chrissimpkins/status	4e76d751c537d42dd5603779cbe893551be2b89e	[ "MIT", "Unlicense" ]	2	2017-04-10T20:17:44.000Z	2021-07-19T19:07:34.000Z	lib/status/commands/http_request.py	chrissimpkins/status	4e76d751c537d42dd5603779cbe893551be2b89e	[ "MIT", "Unlicense" ]	1	2021-07-19T19:09:30.000Z	2021-07-19T19:22:36.000Z	lib/status/commands/http_request.py	chrissimpkins/status	4e76d751c537d42dd5603779cbe893551be2b89e	[ "MIT", "Unlicense" ]	4	2016-12-20T19:57:07.000Z	2019-02-16T08:08:15.000Z	#!/usr/bin/env python # encoding: utf-8 import sys from Naked.toolshed.network import HTTP from Naked.toolshed.system import exit_success from Naked.toolshed.system import stderr from requests.exceptions import ConnectionError class Get: def __init__(self, url): self.url = url def get_response(self):...	35.948718	148	0.564551	356	2,804	4.359551	0.241573	0.034794	0.03866	0.065722	0.835052	0.752577	0.752577	0.752577	0.717784	0.717784	0.004852	0.338445	2,804	77	149	36.415584	0.831806	0.049215	0.677419	0	0.032258	0.191585	0	0	0	0	0	1	0.080645	false	0	0.080645	0	0.225806	0.064516	0	0	0	null	0	0	0	1	1	1	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	0	6
ac167b5b9c718ac4e9de726305e2afdc0ceccb9d	208	py	Python	flow_py_sdk/signer/__init__.py	nichandy/flow-py-sdk	716c1690f38eeb78f479d1cf860b974cc6a53b04	[ "MIT" ]	null	null	null	flow_py_sdk/signer/__init__.py	nichandy/flow-py-sdk	716c1690f38eeb78f479d1cf860b974cc6a53b04	[ "MIT" ]	null	null	null	flow_py_sdk/signer/__init__.py	nichandy/flow-py-sdk	716c1690f38eeb78f479d1cf860b974cc6a53b04	[ "MIT" ]	1	2021-09-15T10:29:00.000Z	2021-09-15T10:29:00.000Z	from flow_py_sdk.signer.hash_algo import HashAlgo from flow_py_sdk.signer.sign_algo import SignAlgo from flow_py_sdk.signer.signer import Signer from flow_py_sdk.signer.in_memory_signer import InMemorySigner	41.6	62	0.884615	36	208	4.777778	0.388889	0.186047	0.232558	0.302326	0.44186	0	0	0	0	0	0	0.076923	208	4	63	52	0.895833	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ac1b3e37b2c9396c347c1094b15d99fc28069ea5	164	py	Python	pages/context_procesor.py	mahanfarzaneh2000/Freelara	803cd0e75c5c03ee23ed6dea5202f3e6a7af4864	[ "Apache-2.0" ]	null	null	null	pages/context_procesor.py	mahanfarzaneh2000/Freelara	803cd0e75c5c03ee23ed6dea5202f3e6a7af4864	[ "Apache-2.0" ]	null	null	null	pages/context_procesor.py	mahanfarzaneh2000/Freelara	803cd0e75c5c03ee23ed6dea5202f3e6a7af4864	[ "Apache-2.0" ]	1	2021-04-11T09:59:54.000Z	2021-04-11T09:59:54.000Z	import datetime from gigs.models import Category def context_procesor(request): return{'year':datetime.datetime.now().year,'categories':Category.objects.all()}	32.8	83	0.786585	21	164	6.095238	0.761905	0	0	0	0	0	0	0	0	0	0	0.079268	164	5	83	32.8	0.847682	0	0	0	0	0.084848	0	0	0	0	0	1	0.25	false	0	0.5	0.25	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
ac3208f3bf096fc7be1d65ea7a50e5473c75efb0	588	py	Python	deedee_btc_data_process.py	justin-oxford/dee-dee-btc	0d6c97a819d6de48d1c846e2859bc0c4a7a50ebe	[ "MIT" ]	null	null	null	deedee_btc_data_process.py	justin-oxford/dee-dee-btc	0d6c97a819d6de48d1c846e2859bc0c4a7a50ebe	[ "MIT" ]	null	null	null	deedee_btc_data_process.py	justin-oxford/dee-dee-btc	0d6c97a819d6de48d1c846e2859bc0c4a7a50ebe	[ "MIT" ]	null	null	null	# # # # # #IMPORTS # ------------------------------------------------------------------------------------------------- from imports import * # ------------------------------------------------------------------------------------------------- #CONSTANTS # ----------------------------------------------------...	29.4	100	0.071429	6	588	7	0.833333	0	0	0	0	0	0	0	0	0	0	0.079932	588	19	101	30.947368	0.077634	0.877551	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ac363f5486b65cdfe26061696dc8ef0b2d5c6f69	96	py	Python	venv/lib/python3.8/site-packages/future/moves/urllib/response.py	GiulianaPola/select_repeats	17a0d053d4f874e42cf654dd142168c2ec8fbd11	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/future/moves/urllib/response.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/future/moves/urllib/response.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/64/46/4c/2f41696c1fbe18878114fbd2cdbb65549e84b11e2d088e2a07b0fcb054	96	96	0.895833	9	96	9.555556	1	0	0	0	0	0	0	0	0	0	0.427083	0	96	1	96	96	0.46875	0	0	0	0	0	0	0	1	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	6
ac69f6987b01935cec09f2d1c2672f3dd8df321c	63	py	Python	graphein/molecule/features/__init__.py	avivko/graphein	0a2d5e39787cf002c06b03615d9dd3fe62e0171d	[ "MIT" ]	null	null	null	graphein/molecule/features/__init__.py	avivko/graphein	0a2d5e39787cf002c06b03615d9dd3fe62e0171d	[ "MIT" ]	null	null	null	graphein/molecule/features/__init__.py	avivko/graphein	0a2d5e39787cf002c06b03615d9dd3fe62e0171d	[ "MIT" ]	null	null	null	from .edges import * from .graph import * from .nodes import *	15.75	20	0.714286	9	63	5	0.555556	0.444444	0	0	0	0	0	0	0	0	0	0.190476	63	3	21	21	0.882353	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ac7b0d91823debfe996e83f10eb2f5a264799d73	45	py	Python	src/core/tests.py	resumme/resum.me	7fe8fdad2a3d946ab15cc91e6c6ea00fdd99d495	[ "MIT" ]	10	2018-10-11T06:47:00.000Z	2020-05-05T06:26:15.000Z	src/core/tests.py	resumme/resum.me	7fe8fdad2a3d946ab15cc91e6c6ea00fdd99d495	[ "MIT" ]	22	2018-10-15T13:56:30.000Z	2022-03-11T23:32:48.000Z	src/core/tests.py	resumme/resum.me	7fe8fdad2a3d946ab15cc91e6c6ea00fdd99d495	[ "MIT" ]	5	2018-10-16T19:12:49.000Z	2018-10-20T07:46:47.000Z	def test_test_are_working(): assert True	15	28	0.755556	7	45	4.428571	0.857143	0	0	0	0	0	0	0	0	0	0	0.177778	45	2	29	22.5	0.837838	0	0	0	0	0	0	0	0	0	0.5	1	0.5	true	0	0	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	1	0	0	0	0	0	6
ac81038d88b558206704ae267a617ac255c443e4	24,206	py	Python	htcl_totals_test.py	NREL/scout	acf38df7ce877cbd8c1c10f4f61fdf1d088fd947	[ "Apache-2.0", "BSD-3-Clause" ]	null	null	null	htcl_totals_test.py	NREL/scout	acf38df7ce877cbd8c1c10f4f61fdf1d088fd947	[ "Apache-2.0", "BSD-3-Clause" ]	null	null	null	htcl_totals_test.py	NREL/scout	acf38df7ce877cbd8c1c10f4f61fdf1d088fd947	[ "Apache-2.0", "BSD-3-Clause" ]	null	null	null	#!/usr/bin/env python3 """ Tests for running the htcl_totals.py routine """ # Import code to be tested import htcl_totals # Import needed packages import unittest import itertools class CommonMethods(object): """Define common methods for use in all tests below.""" def dict_check(self, dict1, dict2): ...	51.392781	79	0.27456	1,793	24,206	3.682097	0.138873	0.139352	0.24947	0.277189	0.611936	0.607695	0.595274	0.595274	0.595274	0.595274	0.207644	0.57304	24,206	470	80	51.502128	0.431156	0.090267	0.858561	0	0	0.185314	0	0	0	0	0.007444	1	0.009926	false	0	0.007444	0	0.022333	0	0	0	0	null	0	1	1	0	0	0	0	0	0	1	1	0	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
3bb507b77a6778e085bb52ca3348733be6a09dc2	7,405	py	Python	jose/tests/test_content_encryption.py	bwhmather/jose	8bf1f08afd5b4bd21f20bf86f3474afb671d8992	[ "BSD-3-Clause" ]	null	null	null	jose/tests/test_content_encryption.py	bwhmather/jose	8bf1f08afd5b4bd21f20bf86f3474afb671d8992	[ "BSD-3-Clause" ]	null	null	null	jose/tests/test_content_encryption.py	bwhmather/jose	8bf1f08afd5b4bd21f20bf86f3474afb671d8992	[ "BSD-3-Clause" ]	null	null	null	import unittest from jose.algorithms.content_encryption import ( A128CBC_HS256, A192CBC_HS384, A256CBC_HS512, ) class AES_CBC_HMAC_SHA2_Base(unittest.TestCase): def test_encrypt(self): encrypter = self.algorithm(self.key) ciphertext, auth_token = encrypter.encrypt( self.plaintext...	42.073864	75	0.636867	1,451	7,405	3.217781	0.189524	0.034697	0.017348	0.015421	0.508246	0.504391	0.487042	0.487042	0.487042	0.46948	0.310494	0.158406	7,405	175	76	42.314286	0.438703	0	0.430556	0	0.506944	0.651452	0.651452	0	1	0	0.020833	1	0.020833	false	0	0.013889	0.006944	0.215278	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	1	1	1	null	1	0	0	0	0	0	0	0	0	0	0	6
3bfada2366d53f055901db95b2e965098fc08271	35	py	Python	src/pwbus_http/__init__.py	fszostak/pwbus-web	1412ea9e7869f04fbfeccd212ac4f9ed28a6a17f	[ "MIT" ]	null	null	null	src/pwbus_http/__init__.py	fszostak/pwbus-web	1412ea9e7869f04fbfeccd212ac4f9ed28a6a17f	[ "MIT" ]	1	2021-04-16T00:43:09.000Z	2021-04-16T00:43:09.000Z	src/pwbus_http/__init__.py	fszostak/pwbus-web	1412ea9e7869f04fbfeccd212ac4f9ed28a6a17f	[ "MIT" ]	null	null	null	# __init__.py from . import server	11.666667	20	0.742857	5	35	4.4	1	0	0	0	0	0	0	0	0	0	0	0.171429	35	2	21	17.5	0.758621	0.314286	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
02238e7529201e6b8e5f434a65291956fc9af2a1	165	py	Python	autogl/module/__init__.py	dedsec-9/AutoGL	487f2b2f798b9b1363ad5dc100fb410b12222e06	[ "MIT" ]	824	2020-11-30T14:38:07.000Z	2022-03-19T10:14:04.000Z	autogl/module/__init__.py	dedsec-9/AutoGL	487f2b2f798b9b1363ad5dc100fb410b12222e06	[ "MIT" ]	38	2020-12-21T12:32:57.000Z	2022-01-31T02:32:05.000Z	autogl/module/__init__.py	dedsec-9/AutoGL	487f2b2f798b9b1363ad5dc100fb410b12222e06	[ "MIT" ]	85	2020-12-21T05:16:09.000Z	2022-03-28T08:44:22.000Z	from . import feature, model, train, hpo, nas, ensemble from .ensemble import * from .feature import * from .hpo import * from .model import * from .train import *	20.625	55	0.721212	23	165	5.173913	0.347826	0.336134	0	0	0	0	0	0	0	0	0	0.181818	165	7	56	23.571429	0.881481	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
65fd27df92475b5614da5ef867df169ec8ad55cd	187	py	Python	openapi_python_client/parser/__init__.py	Maistho/openapi-python-client	e123b966e8d31db173e09cabc8284a855d07e425	[ "MIT" ]	2	2020-10-15T07:25:50.000Z	2021-09-14T21:29:08.000Z	openapi_python_client/parser/__init__.py	Maistho/openapi-python-client	e123b966e8d31db173e09cabc8284a855d07e425	[ "MIT" ]	79	2020-09-10T00:47:21.000Z	2022-03-25T02:07:31.000Z	openapi_python_client/parser/__init__.py	Maistho/openapi-python-client	e123b966e8d31db173e09cabc8284a855d07e425	[ "MIT" ]	1	2020-11-03T00:11:57.000Z	2020-11-03T00:11:57.000Z	""" Classes representing the data in the OpenAPI schema """ __all__ = ["GeneratorData", "import_string_from_reference"] from .openapi import GeneratorData, import_string_from_reference	31.166667	64	0.802139	22	187	6.363636	0.590909	0.271429	0.357143	0.414286	0.542857	0	0	0	0	0	0	0.112299	187	5	65	37.4	0.843373	0.272727	0	0	0	0.320313	0.21875	0	0	0	0	1	0	false	0	1	0	1	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
5a00d7b477fcf498888514aef1011741f72965b5	33	py	Python	virtual-check.py	ZachZemo/testing-pack	d769ff5242660da9311b23059e64da11d6e991d4	[ "MIT" ]	null	null	null	virtual-check.py	ZachZemo/testing-pack	d769ff5242660da9311b23059e64da11d6e991d4	[ "MIT" ]	null	null	null	virtual-check.py	ZachZemo/testing-pack	d769ff5242660da9311b23059e64da11d6e991d4	[ "MIT" ]	null	null	null	import example_pkg print(1 + 1)	8.25	18	0.727273	6	33	3.833333	0.833333	0	0	0	0	0	0	0	0	0	0.074074	0.181818	33	3	19	11	0.777778	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	1	0	null	0	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	0	1	6
5a180c482b4f52e795c9fd0bfc7efbe15a1b85f5	2,933	py	Python	stock_portfolio/stock_portfolio/tests/test_models_stock.py	zarkle/pyramid-stocks	493ad5a5b77e99dcff8e8234bf0616db1fbb4c98	[ "MIT" ]	null	null	null	stock_portfolio/stock_portfolio/tests/test_models_stock.py	zarkle/pyramid-stocks	493ad5a5b77e99dcff8e8234bf0616db1fbb4c98	[ "MIT" ]	4	2019-12-26T16:42:42.000Z	2020-01-06T18:53:34.000Z	stock_portfolio/stock_portfolio/tests/test_models_stock.py	zarkle/pyramid-stocks	493ad5a5b77e99dcff8e8234bf0616db1fbb4c98	[ "MIT" ]	null	null	null	def test_stock_model(db_session): """test make a new stock""" from ..models import Stock assert len(db_session.query(Stock).all()) == 0 stock = Stock( symbol="MU", companyName="Micron Technology Inc.", exchange="Nasdaq Global Select", industry="Semiconductors", w...	36.209877	222	0.653256	371	2,933	5.072776	0.237197	0.086079	0.074389	0.100956	0.742827	0.742827	0.742827	0.742827	0.725824	0.706164	0.004874	0.230481	2,933	80	223	36.6625	0.828977	0.20866	0.764706	0	0.058824	0.393886	0	0	0	0	0.137255	1	0.058824	false	0	0.058824	0	0.117647	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
5a51ee89b9eeac5958eb7116447a51a5dd4f50ea	99	py	Python	Lesson4/matr.py	shinkai-tester/python_beginner	a934328c9a50241cc3f02a423060e16aab53b425	[ "Apache-2.0" ]	2	2021-06-01T13:24:04.000Z	2021-06-01T13:27:47.000Z	Lesson4/matr.py	shinkai-tester/python_beginner	a934328c9a50241cc3f02a423060e16aab53b425	[ "Apache-2.0" ]	null	null	null	Lesson4/matr.py	shinkai-tester/python_beginner	a934328c9a50241cc3f02a423060e16aab53b425	[ "Apache-2.0" ]	null	null	null	for i in range(1, 10): for j in range(1, 10): print(i * j, end=' ') print(end='\n')	24.75	29	0.474747	19	99	2.473684	0.526316	0.297872	0.340426	0.425532	0	0	0	0	0	0	0.088235	0.313131	99	4	30	24.75	0.602941	0	0	0	0	0.03	0	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	1	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	0	0	0	1	6
ce66428f0c80237f3197f503efa4975a2a382a26	170	py	Python	esmonitor/views/index_view.py	cristianprice/pyesmonitor	df89968d7b2566a9e1c4afd89a1156a285580747	[ "Apache-2.0" ]	null	null	null	esmonitor/views/index_view.py	cristianprice/pyesmonitor	df89968d7b2566a9e1c4afd89a1156a285580747	[ "Apache-2.0" ]	null	null	null	esmonitor/views/index_view.py	cristianprice/pyesmonitor	df89968d7b2566a9e1c4afd89a1156a285580747	[ "Apache-2.0" ]	null	null	null	from django.http import HttpResponse from django.shortcuts import render def index(request): return render(request, 'esmonitor/index.html', {'none': 'none'})	24.285714	69	0.723529	21	170	5.857143	0.666667	0.162602	0	0	0	0	0	0	0	0	0	0.158824	170	6	70	28.333333	0.86014	0	0	0	0	0.170732	0	0	0	0	0	1	0.25	false	0	0.5	0.25	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
ce9283e286495a9bef3f7f62965af7424b69d4aa	10,370	py	Python	gerenciador/anuncios/tests/test_views.py	diogo-alves/gerenciador_anuncios	fc62a818d803594ba0c31c755cbb83c165c1488f	[ "MIT" ]	null	null	null	gerenciador/anuncios/tests/test_views.py	diogo-alves/gerenciador_anuncios	fc62a818d803594ba0c31c755cbb83c165c1488f	[ "MIT" ]	null	null	null	gerenciador/anuncios/tests/test_views.py	diogo-alves/gerenciador_anuncios	fc62a818d803594ba0c31c755cbb83c165c1488f	[ "MIT" ]	null	null	null	from http import HTTPStatus from django.urls import reverse from django.test import TestCase from ..models import Anuncio, Cliente class ClienteCreateViewTests(TestCase): def setUp(self): self.url = reverse('anuncios:cliente_create') def test_template_utilizado(self): response = self.clien...	35.272109	106	0.657184	1,160	10,370	5.725	0.091379	0.037946	0.070471	0.069568	0.868092	0.858907	0.841741	0.810119	0.772625	0.725493	0.024727	0.223915	10,370	293	107	35.392491	0.800447	0	0.674009	0	0	0.132015	0.072324	0	0	0	0.185022	1	0.193833	false	0	0.017621	0	0.255507	0	0	0	0	null	0	0	0	1	1	1	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	0	6
0c7675e739a8c7fe8730ae95cbbd459121a09f22	9,211	py	Python	SR/model/UNetSR.py	AntonyYX/Super-Resolution	9a5a55169b08849be39a42f0ee955feb60527fbf	[ "MIT" ]	null	null	null	SR/model/UNetSR.py	AntonyYX/Super-Resolution	9a5a55169b08849be39a42f0ee955feb60527fbf	[ "MIT" ]	null	null	null	SR/model/UNetSR.py	AntonyYX/Super-Resolution	9a5a55169b08849be39a42f0ee955feb60527fbf	[ "MIT" ]	1	2021-10-02T11:03:49.000Z	2021-10-02T11:03:49.000Z	""" @author: Huakun Shen, Abhishek Thakur @reference: https://youtu.be/u1loyDCoGbE """ import torch from torch import nn from PIL import Image from torch.nn.modules import padding from torchvision import transforms import torch.nn.functional as F def double_convolution(in_c, out_c, ksize=3): return nn.Sequential(...	38.219917	107	0.625774	1,309	9,211	4.181054	0.126814	0.058286	0.079481	0.046592	0.789695	0.765028	0.748767	0.748767	0.748767	0.743651	0.083576	0.255673	9,211	240	108	38.379167	0.714702	0.196721	0.8	0	0	0.001109	0	0	0	0	0	1	0.05	false	0	0.042857	0.007143	0.142857	0.007143	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0cb50033cd8564760f4f1d546b7f76337d99cb3e	115	py	Python	nn/activation_functions.py	nemoNoboru/GEN0	715385f5f243db04c86e6737a8ee93c9af786078	[ "MIT" ]	1	2017-11-27T09:19:59.000Z	2017-11-27T09:19:59.000Z	nn/activation_functions.py	nemoNoboru/GEN0	715385f5f243db04c86e6737a8ee93c9af786078	[ "MIT" ]	null	null	null	nn/activation_functions.py	nemoNoboru/GEN0	715385f5f243db04c86e6737a8ee93c9af786078	[ "MIT" ]	null	null	null	import numpy as np def relu(i): return np.vectorize(np.maximum(i, 0, i)) def tanh(i): return np.tanh(i)	12.777778	44	0.634783	22	115	3.318182	0.545455	0.191781	0.246575	0	0	0	0	0	0	0	0.011111	0.217391	115	8	45	14.375	0.8	0	0	0	0	0	0	0	0	0	0	1	0.4	false	0	0.2	0.4	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
0cb8a98d40512dbb0223d6197d119055c3144770	33	py	Python	xecd_rates/__init__.py	doguskidik/xecd-rates-python	6584c96891f5b91b9e7ceff6883ea4144b6326eb	[ "MIT" ]	1	2020-07-07T20:58:36.000Z	2020-07-07T20:58:36.000Z	xecd_rates/__init__.py	doguskidik/xecd-rates-python	6584c96891f5b91b9e7ceff6883ea4144b6326eb	[ "MIT" ]	1	2022-02-14T19:53:51.000Z	2022-02-14T19:53:51.000Z	xecd_rates/__init__.py	doguskidik/xecd-rates-python	6584c96891f5b91b9e7ceff6883ea4144b6326eb	[ "MIT" ]	null	null	null	from xecd_rates.Xecd import Xecd	16.5	32	0.848485	6	33	4.5	0.666667	0	0	0	0	0	0	0	0	0	0	0.121212	33	1	33	33	0.931034	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0cb9afae15e4b8401ecdc98f48752463215e843b	33,485	py	Python	gw-odw_Day2_with_Solns/Tuto_2.2_Matched_Filtering_In_action with solutions.py	basuparth/grav_wave_workshop3	eb9e2ff066bb1928e5a1dbc8cd8d24344515aae4	[ "MIT" ]	null	null	null	gw-odw_Day2_with_Solns/Tuto_2.2_Matched_Filtering_In_action with solutions.py	basuparth/grav_wave_workshop3	eb9e2ff066bb1928e5a1dbc8cd8d24344515aae4	[ "MIT" ]	null	null	null	gw-odw_Day2_with_Solns/Tuto_2.2_Matched_Filtering_In_action with solutions.py	basuparth/grav_wave_workshop3	eb9e2ff066bb1928e5a1dbc8cd8d24344515aae4	[ "MIT" ]	null	null	null	#!/usr/bin/env python # coding: utf-8 # <img style="float: left;padding: 1.3em" src="https://indico.in2p3.fr/event/18313/logo-786578160.png"> # # # Gravitational Wave Open Data Workshop #3 # # # ## Tutorial 2.2 PyCBC Tutorial, Matched Filtering in Action # # We will be using the [PyCBC](http://github.com/ligo-c...	34.843913	539	0.719785	5,301	33,485	4.478778	0.115261	0.017101	0.015163	0.016174	0.772808	0.770491	0.762278	0.759835	0.754528	0.75238	0.027958	0.19567	33,485	960	540	34.880208	0.853563	0.53845	0.878049	0	0	0.082787	0	0	0	0	0	1	0.00271	false	0.04336	0.092141	0	0.094851	0.01355	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0b22ce77678cabd821f89ea234c8c27cfd57af15	3,960	py	Python	src/HartreeParticleDSL/test/backends/C_AOS/test_C_AOS_op_precedence.py	stfc/HartreeParticleDSL	17990f1a85c9cbec3c4dfa0923e2c44cad6f381c	[ "MIT" ]	null	null	null	src/HartreeParticleDSL/test/backends/C_AOS/test_C_AOS_op_precedence.py	stfc/HartreeParticleDSL	17990f1a85c9cbec3c4dfa0923e2c44cad6f381c	[ "MIT" ]	47	2021-09-16T10:28:05.000Z	2022-03-15T14:24:33.000Z	src/HartreeParticleDSL/test/backends/C_AOS/test_C_AOS_op_precedence.py	stfc/HartreeParticleDSL	17990f1a85c9cbec3c4dfa0923e2c44cad6f381c	[ "MIT" ]	1	2021-09-27T15:20:01.000Z	2021-09-27T15:20:01.000Z	from HartreeParticleDSL.backends.C_AOS.visitors import * from HartreeParticleDSL.backends.C_AOS.C_AOS import * import ast import inspect import textwrap import pytest from HartreeParticleDSL.HartreeParticleDSLExceptions import IllegalLoopError, UnsupportedCodeError, \ ...	29.117647	101	0.604798	581	3,960	3.967298	0.101549	0.038178	0.057701	0.081128	0.813449	0.783948	0.765727	0.765727	0.765727	0.765727	0.020485	0.260354	3,960	135	102	29.333333	0.766473	0.09798	0.640351	0	0	0.050852	0	0	0	0	0.096491	1	0.184211	false	0	0.070175	0	0.254386	0	0	0	0	null	0	0	0	1	1	1	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	0	6
0b3b45963ab4c3f2fbd5f8c7f998da42bc91f385	4,907	py	Python	pysal/spreg/tests/test_ml_lag.py	cubensys/pysal	8d50990f6e6603ba79ae1a887a20a1e3a0734e51	[ "MIT", "BSD-3-Clause" ]	null	null	null	pysal/spreg/tests/test_ml_lag.py	cubensys/pysal	8d50990f6e6603ba79ae1a887a20a1e3a0734e51	[ "MIT", "BSD-3-Clause" ]	null	null	null	pysal/spreg/tests/test_ml_lag.py	cubensys/pysal	8d50990f6e6603ba79ae1a887a20a1e3a0734e51	[ "MIT", "BSD-3-Clause" ]	1	2021-07-19T01:46:17.000Z	2021-07-19T01:46:17.000Z	import unittest import pysal import scipy import numpy as np from pysal.spreg.ml_lag import ML_Lag from pysal.spreg import utils from pysal.common import RTOL from skip import SKIP @unittest.skipIf(SKIP, "Skipping MLLag Tests") class TestMLError(unittest.TestCase): def setUp(self): db = pysal.ope...	39.256	93	0.606888	699	4,907	4.120172	0.20887	0.10625	0.177083	0.271528	0.777083	0.759028	0.736806	0.7125	0.7125	0.7125	0.165075	0.253108	4,907	124	94	39.572581	0.620737	0	0.666667	0	0	0.020379	0	0	0	0	0.290598	1	0.042735	false	0	0.068376	0	0.119658	0	0	0	0	null	0	0	1	0	1	1	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	0	6
0b5771c93105240321463e60f1b9fe3e52a3c477	72	py	Python	Snowflake/__init__.py	leonardozcm/Point-Completion-Fig-AutoGenerator	109f5a414f51469fac82d0d23cde69efb9cf97e0	[ "Apache-2.0" ]	31	2021-08-22T15:01:58.000Z	2022-03-19T12:26:21.000Z	models/__init__.py	AllenXiangX/PMP-Net	c6a65da629f0faafd3b1e2dd060e84ab53b9379f	[ "MIT" ]	10	2021-09-06T09:07:38.000Z	2022-02-12T08:12:54.000Z	models/__init__.py	leonardozcm/SnowflakeNet	93e7151610765e7e2b41ace2d03c8750f0b6c80c	[ "MIT" ]	5	2021-08-30T00:53:17.000Z	2022-03-20T11:57:25.000Z	import sys sys.path.append('../pointnet2_ops_lib') sys.path.append('..')	24	39	0.722222	11	72	4.545455	0.636364	0.28	0.52	0	0	0	0	0	0	0	0.014493	0.041667	72	3	40	24	0.710145	0	0	0	0	0.30137	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
0b5ede3b5aca3c01f8462524a1fc6a7c8300c5ca	124	py	Python	testing/unit2_test.py	cerrno/swe-talk-materials	0f11e34a850959202d2e5fb2ecd71416195ddc7c	[ "MIT" ]	null	null	null	testing/unit2_test.py	cerrno/swe-talk-materials	0f11e34a850959202d2e5fb2ecd71416195ddc7c	[ "MIT" ]	null	null	null	testing/unit2_test.py	cerrno/swe-talk-materials	0f11e34a850959202d2e5fb2ecd71416195ddc7c	[ "MIT" ]	null	null	null	from unit2 import palindrome def test_palindrome(): assert palindrome('test') == 0 assert palindrome('kayak') == 1	20.666667	35	0.693548	15	124	5.666667	0.666667	0.376471	0	0	0	0	0	0	0	0	0.029703	0.185484	124	6	35	20.666667	0.811881	0	0	0	0	0.072	0	0	0	0	0.5	1	0.25	true	0	0.25	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	1	0	0	0	0	0	6
0b8faf317e65360d408b20d346c5a502085dad2e	66	py	Python	acq4/analysis/modules/AtlasBuilder/__init__.py	aleonlein/acq4	4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555	[ "MIT" ]	47	2015-01-05T16:18:10.000Z	2022-03-16T13:09:30.000Z	acq4/analysis/modules/AtlasBuilder/__init__.py	aleonlein/acq4	4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555	[ "MIT" ]	48	2015-04-19T16:51:41.000Z	2022-03-31T14:48:16.000Z	acq4/analysis/modules/AtlasBuilder/__init__.py	sensapex/acq4	9561ba73caff42c609bd02270527858433862ad8	[ "MIT" ]	32	2015-01-15T14:11:49.000Z	2021-07-15T13:44:52.000Z	from __future__ import print_function from .AtlasBuilder import *	22	37	0.848485	8	66	6.375	0.75	0	0	0	0	0	0	0	0	0	0	0.121212	66	2	38	33	0.87931	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	1	6
0b994af2ff79fc252a33133ef6a2bb8ad6219384	20,337	py	Python	tensorflow/python/ops/ragged/ragged_to_tensor_op_test.py	MathMachado/tensorflow	56afda20b15f234c23e8393f7e337e7dd2659c2d	[ "Apache-2.0" ]	848	2019-12-03T00:16:17.000Z	2022-03-31T22:53:17.000Z	tensorflow/python/ops/ragged/ragged_to_tensor_op_test.py	MathMachado/tensorflow	56afda20b15f234c23e8393f7e337e7dd2659c2d	[ "Apache-2.0" ]	656	2019-12-03T00:48:46.000Z	2022-03-31T18:41:54.000Z	tensorflow/python/ops/ragged/ragged_to_tensor_op_test.py	MathMachado/tensorflow	56afda20b15f234c23e8393f7e337e7dd2659c2d	[ "Apache-2.0" ]	506	2019-12-03T00:46:26.000Z	2022-03-30T10:34:56.000Z	# Copyright 2018 The TensorFlow Authors. 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 required by applica...	41.168016	80	0.55844	2,664	20,337	4.053679	0.095721	0.016668	0.014168	0.00926	0.802389	0.772849	0.750625	0.722382	0.705899	0.699139	0.062437	0.263657	20,337	493	81	41.251521	0.658698	0.092787	0.594132	0	0	0.042166	0.003051	0	0	0	0.07824	1	0.080685	false	0	0.036675	0	0.124694	0.002445	0	0	0	null	0	0	0	1	1	1	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	0	6
f0321baac4fe78cb1d43c80ac7fb66d7b5d77d98	159	py	Python	lichee/utils/tfrecord/torch/__init__.py	Tencent/Lichee	7653becd6fbf8b0715f788af3c0507c012be08b4	[ "Apache-2.0" ]	91	2021-10-30T02:25:05.000Z	2022-03-28T06:51:52.000Z	lichee/utils/tfrecord/torch/__init__.py	zhaijunyu/Lichee	7653becd6fbf8b0715f788af3c0507c012be08b4	[ "Apache-2.0" ]	1	2021-12-17T09:30:25.000Z	2022-03-05T12:30:13.000Z	lichee/utils/tfrecord/torch/__init__.py	zhaijunyu/Lichee	7653becd6fbf8b0715f788af3c0507c012be08b4	[ "Apache-2.0" ]	17	2021-11-04T07:50:23.000Z	2022-03-24T14:24:11.000Z	# -- coding: utf-8 -- """ tfrecord torch dataset实现 """ from . import dataset from .dataset import TFRecordDataset from .dataset import MultiTFRecordDataset	17.666667	41	0.742138	17	159	6.941176	0.647059	0.186441	0.288136	0	0	0	0	0	0	0	0.007353	0.144654	159	8	42	19.875	0.860294	0.295597	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6

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