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train · 253k rows

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04e3e3073f7c7ca14f3ae44ade89bc78f210e193	4,689	py	Python	molecule/default/tests/test_section_03.py	hanyhesham/cis_ubuntu_2004	43042c6c212704c534499b250b2a2cfdd0399c64	[ "MIT" ]	null	null	null	molecule/default/tests/test_section_03.py	hanyhesham/cis_ubuntu_2004	43042c6c212704c534499b250b2a2cfdd0399c64	[ "MIT" ]	null	null	null	molecule/default/tests/test_section_03.py	hanyhesham/cis_ubuntu_2004	43042c6c212704c534499b250b2a2cfdd0399c64	[ "MIT" ]	null	null	null	import os import testinfra.utils.ansible_runner testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner( os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all') MOD_DCCP_FILE = "/etc/modprobe.d/3.4.1_dccp.conf" MOD_SCTP_FILE = "/etc/modprobe.d/3.4.2_sctp.conf" MOD_RDS_FILE = "/etc/modprobe.d/3.4.3_rds.co...	25.906077	72	0.653871	923	4,689	3.11701	0.061755	0.044491	0.100104	0.108446	0.917275	0.917275	0.855753	0.70073	0.6691	0.599583	0.10169	0.205161	4,689	180	73	26.05	0.670244	0.442099	0	0	0	0.083032	0.065884	0	0	0.42	1	0.42	false	0	0.04	0	0.46	0	0	0	0	null	0	0	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	1	0	0	0	0	0	0	6
b6e120f027ceab4ac6834554b5b26e34309227ae	3,452	py	Python	yolo2/models/yolo2_mobilenet.py	rootadminWalker/keras-YOLOv3-model-set	196ec711975e1821a260a9f6523008bf47ff8c84	[ "MIT" ]	null	null	null	yolo2/models/yolo2_mobilenet.py	rootadminWalker/keras-YOLOv3-model-set	196ec711975e1821a260a9f6523008bf47ff8c84	[ "MIT" ]	null	null	null	yolo2/models/yolo2_mobilenet.py	rootadminWalker/keras-YOLOv3-model-set	196ec711975e1821a260a9f6523008bf47ff8c84	[ "MIT" ]	null	null	null	#!/usr/bin/env python3 # -- coding: utf-8 -- """YOLO_v2 MobileNet Model Defined in Keras.""" from tensorflow.keras.layers import MaxPooling2D, Lambda, Concatenate, GlobalAveragePooling2D, Softmax from tensorflow.keras.models import Model from tensorflow.keras.applications.mobilenet import MobileNet from .layers imp...	38.355556	145	0.699594	509	3,452	4.552063	0.172888	0.020716	0.044886	0.069055	0.83729	0.813552	0.808804	0.790678	0.790678	0.790678	0.080184	0.179896	3,452	89	146	38.786517	0.738255	0.244206	0.7	0	0	0.076383	0	0	0	0	1	0.1	false	0	0.1	0	0.3	0.1	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	6
f3eb4556094f652a67ce147cec08a705417afea3	14,773	py	Python	modules/adb.py	AkshayJainG/qark	c9a4c0025a8538bdaf728c152be7052890d52336	[ "Apache-2.0" ]	1	2021-01-11T07:12:52.000Z	2021-01-11T07:12:52.000Z	modules/adb.py	AkshayJainG/qark	c9a4c0025a8538bdaf728c152be7052890d52336	[ "Apache-2.0" ]	null	null	null	modules/adb.py	AkshayJainG/qark	c9a4c0025a8538bdaf728c152be7052890d52336	[ "Apache-2.0" ]	null	null	null	'''Copyright 2015 LinkedIn Corp. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distr...	49.243333	381	0.616462	1,916	14,773	4.636743	0.131002	0.076542	0.053242	0.03647	0.797051	0.780279	0.714993	0.703512	0.681562	0.65027	0.006809	0.234482	14,773	300	382	49.243333	0.77876	0.045759	0.788889	0	0.022222	0.314573	0.041899	0.007407	0.003333	0	0	null	null	0	0.007407	null	null	0.125926	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	1	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	6
f3eccfa0f0555e6e00a4da8db43f78ed5b9fcb59	15,719	py	Python	verodin_connector.py	splunk-soar-connectors/verodin	dcf8b375656a153ab5d21d2398f25397742c2294	[ "Apache-2.0" ]	null	null	null	verodin_connector.py	splunk-soar-connectors/verodin	dcf8b375656a153ab5d21d2398f25397742c2294	[ "Apache-2.0" ]	null	null	null	verodin_connector.py	splunk-soar-connectors/verodin	dcf8b375656a153ab5d21d2398f25397742c2294	[ "Apache-2.0" ]	null	null	null	# I dislike the print statement from __future__ import print_function # Phantom imports import phantom.app as phantom from phantom.app import BaseConnector from phantom.app import ActionResult import requests from verodin_consts import * class VerodinConnector(BaseConnector): def __init__(self): ...	37.160757	127	0.621223	1,952	15,719	4.722336	0.069672	0.137991	0.053699	0.059666	0.842265	0.804947	0.776416	0.755587	0.739531	0.739206	0.000441	0.278008	15,719	422	128	37.248815	0.81179	0.060564	0.624088	0	0	0.07403	0	0	0	0	1	0.054745	false	0.043796	0.029197	0	0.186131	0.058394	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	6
6d403aa63c7f8e8c66e744d2cb0161db7e9f3a1d	3,371	py	Python	gw/ppasummationkernel.py	Chronum94/gpaw-kernels	59ecc8c78e31b5a203f5ceb6fdfee6e21461b633	[ "MIT" ]	null	null	null	gw/ppasummationkernel.py	Chronum94/gpaw-kernels	59ecc8c78e31b5a203f5ceb6fdfee6e21461b633	[ "MIT" ]	null	null	null	gw/ppasummationkernel.py	Chronum94/gpaw-kernels	59ecc8c78e31b5a203f5ceb6fdfee6e21461b633	[ "MIT" ]	null	null	null	import numpy as np #pythran export _sigmaloop1(complex128[:, :] order(C), float64[:], float64[:], complex128[:, :] order(C), complex128[:, :] order(C), float) def _sigmaloop1(n_mG, deps_m, f_m, W_GG, omegat_GG, eta): sigma = 0.0 dsigma = 0.0 # init variables (is this necessary?) nG = n_mG.shape[1] ...	41.109756	141	0.502225	541	3,371	2.892791	0.110906	0.051118	0.076677	0.05623	0.930351	0.922684	0.922684	0.84345	0.811502	0.765495	0.074956	0.327203	3,371	81	142	41.617284	0.615079	0.522694	0	0	0	0	0	0	0	0	1	0.034483	false	0	0.034483	0	0.103448	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	6
edbeddf848235ffeba1444b5c21207a08c98431a	258	py	Python	NLP/sentiment_test.py	TheBrownViking20/DSstuff	d915f48e88c22baa81cf8f6114615c6d1bd3faa9	[ "MIT" ]	3	2018-02-12T14:18:50.000Z	2018-05-31T19:06:54.000Z	NLP/sentiment_test.py	TheBrownViking20/DSstuff	d915f48e88c22baa81cf8f6114615c6d1bd3faa9	[ "MIT" ]	null	null	null	NLP/sentiment_test.py	TheBrownViking20/DSstuff	d915f48e88c22baa81cf8f6114615c6d1bd3faa9	[ "MIT" ]	1	2018-05-31T19:06:56.000Z	2018-05-31T19:06:56.000Z	import sentiment_mod as s print(s.sentiment("This was one epic adventure they call a film! It had a thrilling plot and impressive star cast. Will watch it again on monday.")) print(s.sentiment("Horrible movie. Watching it is like being punished by cinema"))	64.5	148	0.782946	45	258	4.466667	0.822222	0.059701	0.149254	0	0	0	0	0	0	0	0	0.147287	258	4	149	64.5	0.913636	0	0	0	0.333333	0.718147	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0.666667	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	0	null	0	0	0	0	1	0	1	0	0	1	6
6100b123ac80f4ff1091e0423d184932f7adffeb	104	py	Python	thermoplotting/grandcanonical/__init__.py	Van-der-Ven-Group/thermoplotting	d826d728f406896b7a56207f3f4e9b4176de0e97	[ "MIT" ]	10	2015-04-28T18:53:00.000Z	2020-09-23T13:29:07.000Z	thermoplotting/grandcanonical/__init__.py	Van-der-Ven-Group/thermoplotting	d826d728f406896b7a56207f3f4e9b4176de0e97	[ "MIT" ]	1	2019-05-20T19:20:24.000Z	2019-05-20T19:20:24.000Z	thermoplotting/grandcanonical/__init__.py	goirijo/thermoplotting	d826d728f406896b7a56207f3f4e9b4176de0e97	[ "MIT" ]	4	2015-08-03T18:36:46.000Z	2022-03-30T23:13:04.000Z	from __future__ import absolute_import from . import access from . import runs from . import integrate	17.333333	38	0.807692	14	104	5.642857	0.5	0.379747	0	0	0	0	0	0	0	0	0	0.163462	104	5	39	20.8	0.908046	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	1	0	1	0	1	0	6
b65c484639c51ffa8b2d63357c261437e7127250	25	py	Python	tools/__init__.py	soeque1/pretrain-dev	e859f8052b10619b195f9c14fbcdd46e24600855	[ "Apache-2.0" ]	4	2021-02-01T03:44:39.000Z	2021-02-07T14:27:34.000Z	tools/__init__.py	soeque1/pretrain-dev	e859f8052b10619b195f9c14fbcdd46e24600855	[ "Apache-2.0" ]	8	2021-01-31T23:57:31.000Z	2021-02-13T07:55:28.000Z	tools/__init__.py	soeque1/pretrain-dev	e859f8052b10619b195f9c14fbcdd46e24600855	[ "Apache-2.0" ]	1	2021-02-07T14:27:32.000Z	2021-02-07T14:27:32.000Z	from tools import logger	12.5	24	0.84	4	25	5.25	1	0	0	0	0	0	0	0	0	0	0	0.16	25	1	25	25	1	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
b68a75c3bbd33b893bf0037d4e4d032818927bc0	188	py	Python	procurement_portal/records/apps.py	rikusv/procurement-portal-backend	a00eb1d9d9da7737a84d9c495db0f59b26839157	[ "MIT" ]	null	null	null	procurement_portal/records/apps.py	rikusv/procurement-portal-backend	a00eb1d9d9da7737a84d9c495db0f59b26839157	[ "MIT" ]	null	null	null	procurement_portal/records/apps.py	rikusv/procurement-portal-backend	a00eb1d9d9da7737a84d9c495db0f59b26839157	[ "MIT" ]	null	null	null	from django.apps import AppConfig class RecordsConfig(AppConfig): name = "procurement_portal.records" def ready(self): import procurement_portal.records.signals # noqa	20.888889	57	0.739362	21	188	6.52381	0.761905	0.248175	0.350365	0	0	0	0	0	0	0	0	0.18617	188	8	58	23.5	0.895425	0.021277	0	0	0	0.142857	0.142857	0	0	0	1	0.2	false	0	0.4	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	0	1	0	1	0	6
b69c01d4e1d477ddb31efe3d2d1a116cd3381bc1	88	py	Python	pycomlink/util/__init__.py	cchwala/pycomlink	979d5595243a06278052023cc5f9aec09fbd8e12	[ "BSD-3-Clause" ]	12	2017-04-26T07:27:39.000Z	2021-08-31T13:23:59.000Z	pycomlink/util/__init__.py	cchwala/pycomlink	979d5595243a06278052023cc5f9aec09fbd8e12	[ "BSD-3-Clause" ]	72	2017-08-24T20:15:24.000Z	2022-03-09T08:55:03.000Z	pycomlink/util/__init__.py	cchwala/pycomlink	979d5595243a06278052023cc5f9aec09fbd8e12	[ "BSD-3-Clause" ]	18	2016-11-08T15:33:12.000Z	2021-07-13T11:55:19.000Z	from __future__ import absolute_import from . import temporal from . import maintenance	22	38	0.840909	11	88	6.272727	0.545455	0.289855	0	0	0	0	0	0	0	0	0	0.136364	88	3	39	29.333333	0.907895	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	1	0	1	0	1	0	6
b6aa9894641d44630e6c0899d263763fa44ca764	80	py	Python	refgenie/__init__.py	jashapiro/refgenie	9ced5330a3d778afd847371d9b5c6bf2d6c85a0c	[ "BSD-2-Clause" ]	null	null	null	refgenie/__init__.py	jashapiro/refgenie	9ced5330a3d778afd847371d9b5c6bf2d6c85a0c	[ "BSD-2-Clause" ]	null	null	null	refgenie/__init__.py	jashapiro/refgenie	9ced5330a3d778afd847371d9b5c6bf2d6c85a0c	[ "BSD-2-Clause" ]	null	null	null	from ._version import __version__ import logmuse logmuse.init_logger("refgenie")	26.666667	33	0.85	10	80	6.2	0.7	0.419355	0	0	0	0	0	0	0	0	0	0.075	80	3	34	26.666667	0.837838	0	0	0	0	0.098765	0	0	0	0	1	0	true	0	0.666667	0	0.666667	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	1	0	1	0	1	0	6
1e1ea400b226a7f24ff30e1e6324d6798c495e57	1,884	py	Python	tests/test_checks.py	WhaleJ84/hb-organiser	6bb540aead050a453fc6913c9df9378b06fe08bc	[ "MIT" ]	1	2021-02-20T11:56:38.000Z	2021-02-20T11:56:38.000Z	tests/test_checks.py	WhaleJ84/hb-organiser	6bb540aead050a453fc6913c9df9378b06fe08bc	[ "MIT" ]	16	2020-12-31T20:00:30.000Z	2021-06-02T03:52:40.000Z	tests/test_checks.py	WhaleJ84/hb-organiser	6bb540aead050a453fc6913c9df9378b06fe08bc	[ "MIT" ]	null	null	null	from unittest import TestCase from hb_organiser.check import * class HBOrganiserTestCase(TestCase): # === [ source_exists ] === # def test_source_exists_returns_false_on_empty_path(self): self.assertFalse(source_exists('')) def test_source_exists_returns_false_on_relative_bad_path(self): ...	41.866667	93	0.761146	246	1,884	5.337398	0.223577	0.063976	0.09901	0.133283	0.805788	0.805788	0.706778	0.472963	0.392993	0.24067	0.001827	0.12845	1,884	44	94	42.818182	0.797808	0.042994	0	0	0	0.182173	0.168802	0	0	0.444444	1	0.444444	false	0	0.074074	0	0.555556	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	1	0	0	0	0	1	0	6
1e29ced7a88dfcc83d237a71f614bb7f6310bcad	19,762	py	Python	src/genie/libs/parser/nxos/tests/ShowRunningConfigBgp/cli/equal/golden_output_1_expected.py	balmasea/genieparser	d1e71a96dfb081e0a8591707b9d4872decd5d9d3	[ "Apache-2.0" ]	204	2018-06-27T00:55:27.000Z	2022-03-06T21:12:18.000Z	src/genie/libs/parser/nxos/tests/ShowRunningConfigBgp/cli/equal/golden_output_1_expected.py	balmasea/genieparser	d1e71a96dfb081e0a8591707b9d4872decd5d9d3	[ "Apache-2.0" ]	468	2018-06-19T00:33:18.000Z	2022-03-31T23:23:35.000Z	src/genie/libs/parser/nxos/tests/ShowRunningConfigBgp/cli/equal/golden_output_1_expected.py	balmasea/genieparser	d1e71a96dfb081e0a8591707b9d4872decd5d9d3	[ "Apache-2.0" ]	309	2019-01-16T20:21:07.000Z	2022-03-30T12:56:41.000Z	expected_output = { "bgp": { "instance": { "default": { "bgp_id": 333, "protocol_shutdown": True, "vrf": { "management": { "graceful_restart": True, "log_neighbor_changes": False, "enforce_first_as": True, "flush_routes": Fa...	41	75	0.456887	1,771	19,762	4.54489	0.098814	0.06771	0.035781	0.050441	0.847931	0.831656	0.796745	0.746801	0.723071	0.714623	0.023284	0.450157	19,762	481	76	41.085239	0.717467	0	0.647182	0	0	0.406984	0.246913	0	0	0	1	0	false	0.004175	0	0	0	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	6
1e671d31363e61ec284d40e4b3e31491db4251ec	27,560	py	Python	python_scripts/013_Plotting_scaling_relations.py	SoumyaShreeram/Locating_AGN_in_DM_halos	1cfbee69b2c000faee4ecb199d65c3235afbed42	[ "MIT" ]	null	null	null	python_scripts/013_Plotting_scaling_relations.py	SoumyaShreeram/Locating_AGN_in_DM_halos	1cfbee69b2c000faee4ecb199d65c3235afbed42	[ "MIT" ]	null	null	null	python_scripts/013_Plotting_scaling_relations.py	SoumyaShreeram/Locating_AGN_in_DM_halos	1cfbee69b2c000faee4ecb199d65c3235afbed42	[ "MIT" ]	null	null	null	# astropy modules import astropy.units as u import astropy.io.fits as fits from astropy.table import Table, Column, join from astropy.coordinates import SkyCoord from astropy.cosmology import FlatLambdaCDM, z_at_value import numpy as np # system imports import os import sys import importlib as ib import glob # plot...	38.816901	169	0.611466	4,303	27,560	3.654427	0.079015	0.019841	0.0269	0.02442	0.865374	0.842925	0.816471	0.810493	0.795866	0.7738	0.067129	0.209216	27,560	709	170	38.87165	0.6544	0.132293	0.67757	0	0.016355	0.180329	0.038651	0	0	0	1	0.021028	false	0	0.056075	0	0.098131	0.021028	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	6
1e87f1be67e584586ade080b80b573467cdc2888	115	py	Python	src/geelweb/django/twitter_bootstrap_form/settings.py	geelweb/django-twitter-bootstrap-form	371661e0deeac80a36dfe03360f66442c87fd1c5	[ "MIT" ]	2	2016-01-30T22:51:54.000Z	2018-01-13T01:57:52.000Z	src/geelweb/django/twitter_bootstrap_form/settings.py	geelweb/django-twitter-bootstrap-form	371661e0deeac80a36dfe03360f66442c87fd1c5	[ "MIT" ]	1	2016-01-30T22:34:25.000Z	2016-01-30T22:34:25.000Z	src/geelweb/django/twitter_bootstrap_form/settings.py	geelweb/django-twitter-bootstrap-form	371661e0deeac80a36dfe03360f66442c87fd1c5	[ "MIT" ]	null	null	null	from django.conf import settings BOOTSTRAP_REQUIRED_SUFFIX = getattr(settings, 'BOOTSTRAP_REQUIRED_SUFFIX', ' *')	28.75	80	0.808696	13	115	6.846154	0.692308	0.382022	0.561798	0.696629	0	0	0	0	0	0	0	0.095652	115	3	81	38.333333	0.855769	0	0	0	0	0.234783	0.217391	0	0	0	1	0	false	0	0.5	0	0.5	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	1	0	0	0	6
1eb72f9b817e9fe1973f861a2af16e1391fb1974	7,086	py	Python	Matplotlib/6.py	Sprinter1999/PythonAdvanced	d02cc1877ceae7237d82ab02c351d9d0fa5c0f72	[ "MIT" ]	null	null	null	Matplotlib/6.py	Sprinter1999/PythonAdvanced	d02cc1877ceae7237d82ab02c351d9d0fa5c0f72	[ "MIT" ]	null	null	null	Matplotlib/6.py	Sprinter1999/PythonAdvanced	d02cc1877ceae7237d82ab02c351d9d0fa5c0f72	[ "MIT" ]	2	2021-06-25T03:20:08.000Z	2021-07-02T05:13:07.000Z	import matplotlib.pyplot as plt import pandas as pd fig,ax=plt.subplots() # 读取数据 iris = pd.read_csv( 'iris.csv') colors = [ 'r', 'y', 'b'] # 定义三种散点的颜色 Species = iris.Species.unique() #对类别去重 plt.subplot(4,4,1) #设置子图有2个，即1行2列，先画左边的第一个 for i in range(len(Species)): plt.scatter(iris.loc[iris.Species == Species[i], 'Pet...	41.682353	165	0.67711	1,129	7,086	4.248893	0.069088	0.08005	0.073379	0.120075	0.96206	0.96206	0.958099	0.953096	0.953096	0.953096	0.026584	0.113463	7,086	170	166	41.682353	0.737026	0.175416	0.508197	0	0	0.176859	0	0	0	0	1	0	false	0	0.016393	0	0.016393	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	6
94a3adb301eee45ca8f1a01efc8b4b5c7b790279	17,117	py	Python	swagger_client/__init__.py	ike709/tgs4-api-pyclient	97918cfe614cc4ef06ef2485efff163417a8cd44	[ "MIT" ]	null	null	null	swagger_client/__init__.py	ike709/tgs4-api-pyclient	97918cfe614cc4ef06ef2485efff163417a8cd44	[ "MIT" ]	null	null	null	swagger_client/__init__.py	ike709/tgs4-api-pyclient	97918cfe614cc4ef06ef2485efff163417a8cd44	[ "MIT" ]	null	null	null	# coding: utf-8 # flake8: noqa """ TGS API A production scale tool for BYOND server management # noqa: E501 OpenAPI spec version: 9.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import # import apis into sdk package from swagger_clie...	71.024896	166	0.916574	2,107	17,117	7.095871	0.154722	0.162598	0.251288	0.315364	0.339576	0.247074	0.177179	0.152298	0.091231	0.054244	0.017948	0.056026	17,117	240	167	71.320833	0.907352	0.016007	0	1	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	0	0	0	0	1	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
94a71c5ecf63d7b09356f8dc0084bd48811d25dd	175	py	Python	app/util/filter_none_kwargs.py	u8sand/FAIRshake	8f6f3dde42de29b88e9a43bdd43f848382e3bad7	[ "Apache-2.0" ]	null	null	null	app/util/filter_none_kwargs.py	u8sand/FAIRshake	8f6f3dde42de29b88e9a43bdd43f848382e3bad7	[ "Apache-2.0" ]	8	2018-06-05T17:01:43.000Z	2018-06-22T01:19:39.000Z	app/util/filter_none_kwargs.py	u8sand/FAIRshake	8f6f3dde42de29b88e9a43bdd43f848382e3bad7	[ "Apache-2.0" ]	1	2018-06-06T17:22:28.000Z	2018-06-06T17:22:28.000Z	def filter_none_kwargs(__={}, kwargs): return dict({ k: v for k, v in __.items() if v is not None }, ({} if kwargs == {} else filter_none_kwargs(kwargs)))	25	60	0.588571	26	175	3.653846	0.576923	0.210526	0.336842	0.463158	0	0	0	0	0	0	0	0.234286	175	6	61	29.166667	0.708955	0	0	0	0	0	0	0	0	0	1	0.166667	false	0	0	0.166667	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	6
94aa2f3998fb880913820fc5489b120d2e070dd6	313	py	Python	tests/TestScript/__init__.py	NTUTVisualScript/Visual_Script	2f78df3bbe17a08022a1ca66ee889f4ed5a42728	[ "Apache-2.0" ]	4	2017-08-12T15:32:07.000Z	2018-01-02T16:11:59.000Z	tests/TestScript/__init__.py	NTUTVisualScript/GeometrA	2f78df3bbe17a08022a1ca66ee889f4ed5a42728	[ "Apache-2.0" ]	null	null	null	tests/TestScript/__init__.py	NTUTVisualScript/GeometrA	2f78df3bbe17a08022a1ca66ee889f4ed5a42728	[ "Apache-2.0" ]	null	null	null	from tests.TestScript.test_TestScript import TestScriptTestSuite from tests.TestScript.test_TestCase import TestCaseTestSuite from tests.TestScript.test_Step import StepTestSuite from tests.TestScript.test_Executor import ExecutorTestSuite from tests.TestScript.test_ExecutorAction import ExecutorActionTestSuite	52.166667	72	0.904153	35	313	7.942857	0.4	0.161871	0.341727	0.413669	0	0	0	0	0	0	0	0.063898	313	5	73	62.6	0.948805	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	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
a21bb0742b00847bb8532c686d6edb506525b1cc	21,040	py	Python	generator_recsys.py	siat-nlp/CpRec	c3b5d0b3a77d72c81eee203335aef2997c51708a	[ "MIT" ]	16	2020-05-09T08:42:32.000Z	2022-03-03T10:51:38.000Z	generator_recsys.py	fajieyuan/CpRec	c3b5d0b3a77d72c81eee203335aef2997c51708a	[ "MIT" ]	1	2020-10-26T19:59:11.000Z	2020-10-26T19:59:11.000Z	generator_recsys.py	fajieyuan/CpRec	c3b5d0b3a77d72c81eee203335aef2997c51708a	[ "MIT" ]	4	2020-05-05T11:53:41.000Z	2021-09-08T14:15:14.000Z	import tensorflow as tf import ops_compress from BlockWiseEmbedding import BlockWiseEmbeddingForInput as bl from BlockWiseEmbedding import BlockWiseEmbeddingForSoftmax as bs import time class NextItNet_Decoder: def __init__(self, model_para): self.model_para = model_para embedding_width = model_p...	63.757576	173	0.624667	2,589	21,040	4.763229	0.088837	0.123338	0.0506	0.0759	0.861174	0.840983	0.819332	0.802303	0.787058	0.774084	0.01393	0.256179	21,040	329	174	63.951368	0.774058	0.147243	0.596567	0	0	0.167469	0.016562	0	0	0.008584	1	0.021459	false	0	0.021459	0	0.051502	0.077253	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	6
bf5d4a5611c405bedcd8eba69ac783db3cc85958	124	py	Python	rate_limiter/limiter.py	zmcx16/Norn-Finance-API-Server	acbaa032925fea35a3fc05d1a7a9030a652bf064	[ "MIT" ]	5	2021-12-12T16:38:27.000Z	2022-03-05T00:15:36.000Z	rate_limiter/limiter.py	zmcx16/Norn-Finance-API-Server	acbaa032925fea35a3fc05d1a7a9030a652bf064	[ "MIT" ]	null	null	null	rate_limiter/limiter.py	zmcx16/Norn-Finance-API-Server	acbaa032925fea35a3fc05d1a7a9030a652bf064	[ "MIT" ]	2	2022-01-28T08:35:06.000Z	2022-03-24T05:56:23.000Z	from slowapi import Limiter from slowapi.util import get_remote_address app_limiter = Limiter(key_func=get_remote_address)	24.8	50	0.862903	19	124	5.315789	0.578947	0.217822	0.316832	0	0	0	0	0	0	0	0	0.096774	124	4	51	31	0.901786	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	1	0	1	0	6
bfa74de00bdd02f82209084ca01cf9c9c7b32a62	10,970	py	Python	oc_ocdm/counter_handler/test/test_in_memory_counter_handler.py	arcangelo7/oc_ocdm	128d062ce9d858024aafd26d7d238c7a26cc8914	[ "0BSD" ]	1	2020-12-17T15:33:01.000Z	2020-12-17T15:33:01.000Z	oc_ocdm/counter_handler/test/test_in_memory_counter_handler.py	arcangelo7/oc_ocdm	128d062ce9d858024aafd26d7d238c7a26cc8914	[ "0BSD" ]	26	2021-01-08T08:32:23.000Z	2022-03-29T10:01:40.000Z	oc_ocdm/counter_handler/test/test_in_memory_counter_handler.py	arcangelo7/oc_ocdm	128d062ce9d858024aafd26d7d238c7a26cc8914	[ "0BSD" ]	3	2021-04-16T08:44:44.000Z	2022-02-15T11:09:22.000Z	#!/usr/bin/python # -- coding: utf-8 -- # Copyright (c) 2016, Silvio Peroni <essepuntato@gmail.com> # # Permission to use, copy, modify, and/or distribute this software for any purpose # with or without fee is hereby granted, provided that the above copyright notice # and this permission notice appear in all copies. ...	49.192825	111	0.651778	1,266	10,970	5.443918	0.106635	0.138131	0.172374	0.062681	0.866947	0.860708	0.839524	0.837057	0.825305	0.816744	0.01708	0.242115	10,970	222	112	49.414414	0.811884	0.072197	0.694915	0	0	0.070944	0	0	0	0.333333	1	0.039548	false	0	0.011299	0	0.056497	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	6
44ea7b31d33f672fdf99b94258ec2f82eca54fee	8,788	py	Python	vast_pipeline/tests/test_regression/test_epoch_forced.py	askap-vast/vast-pipeline	d66fe87975eedfa30d925ca20af03df45d183696	[ "MIT" ]	3	2021-05-21T21:32:52.000Z	2021-09-11T10:05:31.000Z	vast_pipeline/tests/test_regression/test_epoch_forced.py	askap-vast/vast-pipeline	d66fe87975eedfa30d925ca20af03df45d183696	[ "MIT" ]	89	2021-05-21T21:25:28.000Z	2022-03-31T21:40:59.000Z	vast_pipeline/tests/test_regression/test_epoch_forced.py	askap-vast/vast-pipeline	d66fe87975eedfa30d925ca20af03df45d183696	[ "MIT" ]	1	2021-06-24T02:22:42.000Z	2021-06-24T02:22:42.000Z	import os import pandas as pd import unittest import glob import shutil from vast_pipeline.tests.test_regression import compare_runs, property_check, gen_config from vast_pipeline.tests.test_regression.make_testdir import make_testdir from django.conf import settings as s from django.test import TestCase, override_se...	30.303448	88	0.574761	1,018	8,788	4.740668	0.130648	0.028595	0.047659	0.051181	0.814546	0.793203	0.75114	0.742644	0.742644	0.742644	0.021513	0.32294	8,788	289	89	30.408305	0.78958	0.115612	0.630841	0	0	0.110123	0.015921	0	0	0	1	0.03271	false	0	0.046729	0	0.093458	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	6
780b5628500471b10f8b4a83d40ad8bd0989dac9	24	py	Python	ArrayPil/__init__.py	Daniil-7/ArrayPil	994c0fd1e1c9baeaa3203ec7b1c6920dd2df1ec5	[ "MIT" ]	null	null	null	ArrayPil/__init__.py	Daniil-7/ArrayPil	994c0fd1e1c9baeaa3203ec7b1c6920dd2df1ec5	[ "MIT" ]	null	null	null	ArrayPil/__init__.py	Daniil-7/ArrayPil	994c0fd1e1c9baeaa3203ec7b1c6920dd2df1ec5	[ "MIT" ]	null	null	null	from .ArrayPil import *	12	23	0.75	3	24	6	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	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	1	0	1	0	1	0	6
786d124e5d37fa7c472571d700c4a13bacd4df90	32	py	Python	convoy/__init__.py	frain-dev/convoy-python	7607a6b65615cc83c38bfb7dba4ad6ed564860bc	[ "MIT" ]	null	null	null	convoy/__init__.py	frain-dev/convoy-python	7607a6b65615cc83c38bfb7dba4ad6ed564860bc	[ "MIT" ]	null	null	null	convoy/__init__.py	frain-dev/convoy-python	7607a6b65615cc83c38bfb7dba4ad6ed564860bc	[ "MIT" ]	null	null	null	from convoy.convoy import Convoy	32	32	0.875	5	32	5.6	0.6	0	0	0	0	0	0	0	0	0	0	0.09375	32	1	32	32	0.965517	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	1	0	1	0	1	0	6
787e4c9d3d86572be88739579c1a210740d682f1	105	py	Python	Chapter 07/Chap07_Example7.34.py	Anancha/Programming-Techniques-using-Python	e80c329d2a27383909d358741a5cab03cb22fd8b	[ "MIT" ]	null	null	null	Chapter 07/Chap07_Example7.34.py	Anancha/Programming-Techniques-using-Python	e80c329d2a27383909d358741a5cab03cb22fd8b	[ "MIT" ]	null	null	null	Chapter 07/Chap07_Example7.34.py	Anancha/Programming-Techniques-using-Python	e80c329d2a27383909d358741a5cab03cb22fd8b	[ "MIT" ]	null	null	null	myl1 = [11,12,13,14,15] print(myl1.pop(2)) # P1 print(myl1) # P2 print(myl1.pop()) # P3 print(myl1) # P4	17.5	23	0.619048	21	105	3.095238	0.619048	0.553846	0.369231	0	0	0	0	0	0	0	0.222222	0.142857	105	5	24	21	0.5	0.104762	0.4	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.8	1	0	0	null	1	1	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	6
789f1093b048a771610e487b927c938f923c73ca	35	py	Python	py/pyis-python/pyis/python/ops/__init__.py	microsoft/python-inference-script	cbbbe9d16be0839e4df357b1bd9e8274ca44f1f7	[ "MIT" ]	5	2021-11-29T01:49:22.000Z	2022-02-23T10:26:46.000Z	py/pyis-python/pyis/python/ops/__init__.py	microsoft/python-inference-script	cbbbe9d16be0839e4df357b1bd9e8274ca44f1f7	[ "MIT" ]	1	2021-11-01T02:22:32.000Z	2021-11-01T02:22:32.000Z	py/pyis-python/pyis/python/ops/__init__.py	microsoft/python-inference-script	cbbbe9d16be0839e4df357b1bd9e8274ca44f1f7	[ "MIT" ]	null	null	null	from ..lib.pyis_python.ops import *	35	35	0.771429	6	35	4.333333	1	0	0	0	0	0	0	0	0	0	0	0.085714	35	1	35	35	0.8125	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	1	0	1	0	1	0	6
1520e77111f4961208bae64952eda25a1fe36d00	1,254	py	Python	iriusrisk-python-client-lib/iriusrisk_python_client_lib/api/__init__.py	iriusrisk/iriusrisk-python-client-lib	4912706cd1e5c0bc555dbc7da02fb64cbeab3b18	[ "Apache-2.0" ]	null	null	null	iriusrisk-python-client-lib/iriusrisk_python_client_lib/api/__init__.py	iriusrisk/iriusrisk-python-client-lib	4912706cd1e5c0bc555dbc7da02fb64cbeab3b18	[ "Apache-2.0" ]	null	null	null	iriusrisk-python-client-lib/iriusrisk_python_client_lib/api/__init__.py	iriusrisk/iriusrisk-python-client-lib	4912706cd1e5c0bc555dbc7da02fb64cbeab3b18	[ "Apache-2.0" ]	null	null	null	from __future__ import absolute_import # flake8: noqa # import apis into api package from iriusrisk_python_client_lib.api.components_api import ComponentsApi from iriusrisk_python_client_lib.api.controls_api import ControlsApi from iriusrisk_python_client_lib.api.countermeasures_api import CountermeasuresApi from iri...	54.521739	82	0.904306	184	1,254	5.755435	0.271739	0.208687	0.305005	0.401322	0.497639	0.497639	0	0	0	0	0.000854	0.066188	1,254	22	83	57	0.903501	0.032695	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	1	0	1	0	1	0	6
152fdb30f6426aeb1cc631fc95a94a96d3276abe	38	py	Python	selenium_cmd/__init__.py	patkle/selenium-cmd	1560f4a5cf41f15b4cfbb5798259f123e8d43dfb	[ "MIT" ]	1	2021-01-12T07:42:32.000Z	2021-01-12T07:42:32.000Z	selenium_cmd/__init__.py	patkle/selenium-cmd	1560f4a5cf41f15b4cfbb5798259f123e8d43dfb	[ "MIT" ]	null	null	null	selenium_cmd/__init__.py	patkle/selenium-cmd	1560f4a5cf41f15b4cfbb5798259f123e8d43dfb	[ "MIT" ]	null	null	null	from .selenium_cmd import SeleniumCmd	19	37	0.868421	5	38	6.4	1	0	0	0	0	0	0	0	0	0	0	0.105263	38	1	38	38	0.941176	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	1	0	1	0	1	0	6
15322cbc75de9d38391adc65eecfc2eece082315	24,162	py	Python	opensearch/api/default_api.py	Timandes/opensearch-python	70152155cf338f4710fef89a8a12efa0f7adf483	[ "Apache-2.0" ]	null	null	null	opensearch/api/default_api.py	Timandes/opensearch-python	70152155cf338f4710fef89a8a12efa0f7adf483	[ "Apache-2.0" ]	null	null	null	opensearch/api/default_api.py	Timandes/opensearch-python	70152155cf338f4710fef89a8a12efa0f7adf483	[ "Apache-2.0" ]	null	null	null	# coding: utf-8 """ Copyright 2019 Alibaba Group Holding Limited 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 b...	46.73501	196	0.652761	2,938	24,162	5.064329	0.099387	0.050339	0.028833	0.035486	0.892802	0.865515	0.858122	0.853686	0.853082	0.837489	0.017398	0.257802	24,162	516	197	46.825581	0.812301	0.349681	0.654412	0	0.007353	0.257965	0.092066	0	0	0	1	0.033088	false	0	0.014706	0	0.095588	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	6
ec9088684ceb40ae189503411567a58993cf4350	37	py	Python	dags/get_data_instagram.py	chilldenaya/letsgobali	145eedcdd3e658eb929b75f96e174d8d7c5e0384	[ "Apache-2.0" ]	null	null	null	dags/get_data_instagram.py	chilldenaya/letsgobali	145eedcdd3e658eb929b75f96e174d8d7c5e0384	[ "Apache-2.0" ]	null	null	null	dags/get_data_instagram.py	chilldenaya/letsgobali	145eedcdd3e658eb929b75f96e174d8d7c5e0384	[ "Apache-2.0" ]	null	null	null	def get_data_instagram(): return	12.333333	25	0.72973	5	37	5	1	0	0	0	0	0	0	0	0	0	0	0.189189	37	2	26	18.5	0.833333	0	0	0	0	0	0	0	0	0	1	0.5	true	0	0	0.5	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	1	1	0	0	1	0	0	6
eca11821a7871db6b8a2a03ae83e3b7ca1df0e50	110	py	Python	hyaml/methods/prelude/number.py	latera/hyaml	4dc020434d25c182f8477ddd5582398e51501274	[ "Apache-2.0" ]	3	2020-04-12T15:55:11.000Z	2021-08-02T16:26:21.000Z	hyaml/methods/prelude/number.py	latera/hyaml	4dc020434d25c182f8477ddd5582398e51501274	[ "Apache-2.0" ]	null	null	null	hyaml/methods/prelude/number.py	latera/hyaml	4dc020434d25c182f8477ddd5582398e51501274	[ "Apache-2.0" ]	null	null	null	def is_even(n): return n % 2 == 0 def is_odd(n): return not is_even(n) def gigabytes(n): pass	10	25	0.581818	21	110	2.904762	0.52381	0.163934	0.229508	0	0	0	0	0	0	0	0.025641	0.290909	110	10	26	11	0.75641	0	0	0	0	0	0	0	0	0	1	0.5	false	0.166667	0	0.333333	0.833333	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	1	0	6
eca309a21b271417a9764b9d5bf4542ffba4cc64	36,820	py	Python	src/nmb_model.py	HYUNMIN-HWANG/image-gpt	457bbb212d8435d4bb20a416120301359cb3686b	[ "MIT" ]	null	null	null	src/nmb_model.py	HYUNMIN-HWANG/image-gpt	457bbb212d8435d4bb20a416120301359cb3686b	[ "MIT" ]	null	null	null	src/nmb_model.py	HYUNMIN-HWANG/image-gpt	457bbb212d8435d4bb20a416120301359cb3686b	[ "MIT" ]	null	null	null	import numpy as np import tensorflow as tf from tensorflow.contrib.training import HParams def default_hparams(): return HParams( n_vocab=0, n_ctx=1024, n_embd=768, n_head=12, n_layer=12, ) def shape_list(x): """Deal with dynamic shape in tensorflow cleanly.""" ...	64.710018	174	0.662276	6,163	36,820	3.834658	0.051436	0.06199	0.058351	0.200059	0.784962	0.766005	0.758558	0.751619	0.745779	0.742479	0.133552	0.163172	36,820	569	175	64.710018	0.633455	0.037099	0.125	0	0	0.062533	0.0091	0	0	0.02	1	0.11	false	0	0.015	0.02	0.23	0.125	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	6
ecd07f819ddee03868595c7fe77a71b0570937e2	167	py	Python	pineboolib/fllegacy/flsqlcursor.py	juanjosepablos/pineboo	f6ce515aec6e0139821bb9c1d62536d9fb50dae4	[ "MIT" ]	2	2017-12-10T23:06:16.000Z	2017-12-10T23:06:23.000Z	pineboolib/fllegacy/flsqlcursor.py	Aulla/pineboo	3ad6412d365a6ad65c3bb2bdc03f5798d7c37004	[ "MIT" ]	36	2017-11-05T21:13:47.000Z	2020-08-26T15:56:15.000Z	pineboolib/fllegacy/flsqlcursor.py	Aulla/pineboo	3ad6412d365a6ad65c3bb2bdc03f5798d7c37004	[ "MIT" ]	8	2017-11-05T15:56:31.000Z	2019-04-25T16:32:28.000Z	"""Flsqlcursor module.""" from pineboolib.application.database import pnsqlcursor class FLSqlCursor(pnsqlcursor.PNSqlCursor): """FLSqlCursor class.""" pass	18.555556	55	0.748503	15	167	8.333333	0.666667	0	0	0	0	0	0	0	0	0	0	0.131737	167	8	56	20.875	0.862069	0.227545	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	1	1	1	0	1	0	6
ecddc854eceabf389976b41f73345120ae95446f	152	py	Python	jupyterlab2pymolpysnips/FetchFileFromPDB/fetchCIF.py	MooersLab/pymolpysnips	50a89c85adf8006d85c1d6cd3f8aad7e440a0b92	[ "MIT" ]	null	null	null	jupyterlab2pymolpysnips/FetchFileFromPDB/fetchCIF.py	MooersLab/pymolpysnips	50a89c85adf8006d85c1d6cd3f8aad7e440a0b92	[ "MIT" ]	null	null	null	jupyterlab2pymolpysnips/FetchFileFromPDB/fetchCIF.py	MooersLab/pymolpysnips	50a89c85adf8006d85c1d6cd3f8aad7e440a0b92	[ "MIT" ]	null	null	null	""" cmd.do('fetch ${1:3nd4}, type=cif, async=0;') """ cmd.do('fetch 3nd4, type=cif, async=0;') # Description: Fetch cif file. # Source: placeHolder	16.888889	45	0.625	23	152	4.130435	0.565217	0.105263	0.210526	0.336842	0.357895	0	0	0	0	0	0.053846	0.144737	152	8	46	19	0.676923	0.638158	0	0	0	0.666667	0	0	0	0	1	0	true	0	0	0	0	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	1	0	0	0	0	0	6
179e17d17b6f49c3a2fb9fc3516e9af384c39c1d	232	py	Python	inac8hr/entities/statics.py	th-bunratta/8hr.insomniac	5173500a1ad7197096d513b38258aa65b035fcf3	[ "BSD-3-Clause" ]	null	null	null	inac8hr/entities/statics.py	th-bunratta/8hr.insomniac	5173500a1ad7197096d513b38258aa65b035fcf3	[ "BSD-3-Clause" ]	null	null	null	inac8hr/entities/statics.py	th-bunratta/8hr.insomniac	5173500a1ad7197096d513b38258aa65b035fcf3	[ "BSD-3-Clause" ]	null	null	null	from inac8hr.globals import * from inac8hr.utils import LocationUtil from inac8hr.particles import Bullet from inac8hr.entities import SelectableUnit, Unit import time import random class AnimatedStaticUnit(AnimatedUnit): pass	23.2	49	0.836207	28	232	6.928571	0.607143	0.226804	0	0	0	0	0	0	0	0	0.019704	0.125	232	10	50	23.2	0.935961	0	0	0	0	0	0	0	0	0	1	0	true	0.125	0.75	0	0.875	0	1	0	0	null	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	1	1	0	1	0	6
bd5d3f04dfb9dee47c4fa12f5986ceaadbf6ed4f	145	py	Python	shebang/oneroom/admin.py	KNU-shebang/Shebang	117d6d55344442d76def5c7682ab826ea2521d15	[ "MIT" ]	2	2017-03-18T07:43:58.000Z	2017-05-02T16:21:42.000Z	shebang/oneroom/admin.py	KNU-shebang/Shebang	117d6d55344442d76def5c7682ab826ea2521d15	[ "MIT" ]	2	2017-03-24T09:24:35.000Z	2017-05-02T14:48:21.000Z	shebang/oneroom/admin.py	KNU-shebang/Shebang	117d6d55344442d76def5c7682ab826ea2521d15	[ "MIT" ]	1	2020-10-18T18:38:14.000Z	2020-10-18T18:38:14.000Z	from django.contrib import admin from oneroom.models import * admin.site.register(Room) admin.site.register(Comment) admin.site.register(Gate)	18.125	32	0.806897	21	145	5.571429	0.571429	0.230769	0.435897	0	0	0	0	0	0	0	0	0.089655	145	7	33	20.714286	0.886364	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	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	1	0	0	0	6
bd86366dd11793ca470abf95f027448ddecf2365	4,078	py	Python	examples/decode_dataframe.py	justinwald99/can_decoder	abfdd839856745f88b3fc3a58c8bedbdd05d5616	[ "MIT" ]	17	2020-08-18T02:34:57.000Z	2022-03-16T16:26:53.000Z	examples/decode_dataframe.py	justinwald99/can_decoder	abfdd839856745f88b3fc3a58c8bedbdd05d5616	[ "MIT" ]	4	2020-09-09T04:18:28.000Z	2022-02-23T10:29:14.000Z	examples/decode_dataframe.py	justinwald99/can_decoder	abfdd839856745f88b3fc3a58c8bedbdd05d5616	[ "MIT" ]	3	2021-08-18T18:30:43.000Z	2022-02-21T07:11:09.000Z	import can_decoder import mdf_iter from pathlib import Path def setup_fs(): """Helper function to setup the file system for the examples. """ from fsspec.implementations.local import LocalFileSystem fs = LocalFileSystem() return fs def example_decode_using_dateframe_j1939_a(): """...	32.624	114	0.689799	550	4,078	4.898182	0.205455	0.057906	0.040089	0.060134	0.856347	0.845954	0.84484	0.803267	0.803267	0.803267	0.031676	0.225846	4,078	124	115	32.887097	0.821666	0.322462	0.642857	0	0	0.135493	0.062224	0	0	0	1	0.071429	false	0.017857	0.071429	0	0.214286	0.107143	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	6
bdad628064118e908f6921a569f61c55bd6ccd62	318	py	Python	dispike/errors/network.py	Squidtoon99/dispike	db4b1a12268afcc87a96003923e6f56139872f0e	[ "MIT" ]	null	null	null	dispike/errors/network.py	Squidtoon99/dispike	db4b1a12268afcc87a96003923e6f56139872f0e	[ "MIT" ]	null	null	null	dispike/errors/network.py	Squidtoon99/dispike	db4b1a12268afcc87a96003923e6f56139872f0e	[ "MIT" ]	null	null	null	class DiscordAPIError(Exception): # TODO: Add detection for more distinct exceptions based on api codes. def __init__(self, status_code, request_text): self.message = f"Discord API returned an unexpected response back [{status_code}]: {request_text}" def __str__(self): return self.message	45.428571	106	0.726415	41	318	5.341463	0.756098	0.091324	0.155251	0.191781	0	0	0	0	0	0	0	0.191824	318	7	107	45.428571	0.85214	0.213836	0	0	0	0.321285	0	0	0.142857	0	1	0.4	false	0	0	0.2	0.8	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	1	0	0	1	0	0	0	1	1	0	6
da030297f98630cd2a0f68ed3ebf9f562f3a30f6	37	py	Python	week_schedule/__init__.py	JacobHilbert/week_schedule	39a94ca954bd4a077312320d8bcce66e3886243f	[ "MIT" ]	null	null	null	week_schedule/__init__.py	JacobHilbert/week_schedule	39a94ca954bd4a077312320d8bcce66e3886243f	[ "MIT" ]	null	null	null	week_schedule/__init__.py	JacobHilbert/week_schedule	39a94ca954bd4a077312320d8bcce66e3886243f	[ "MIT" ]	null	null	null	from .schedule import schedule_figure	37	37	0.891892	5	37	6.4	0.8	0	0	0	0	0	0	0	0	0	0	0.081081	37	1	37	37	0.941176	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	1	0	1	0	1	0	6
da26294e42db010ced0c282c9aea3b5ca9ddeefc	2,547	py	Python	common/xrd-ui-tests-qautomate/common_lib/component_ss_backup.py	ria-ee/XTM	6103f3f5bbba387b8b59b050c0c4f1fb2180fc37	[ "MIT" ]	3	2018-03-15T14:22:50.000Z	2021-11-08T10:30:35.000Z	common/xrd-ui-tests-qautomate/common_lib/component_ss_backup.py	ria-ee/XTM	6103f3f5bbba387b8b59b050c0c4f1fb2180fc37	[ "MIT" ]	11	2017-04-06T09:25:41.000Z	2018-06-04T09:08:48.000Z	common/xrd-ui-tests-qautomate/common_lib/component_ss_backup.py	ria-ee/XTM	6103f3f5bbba387b8b59b050c0c4f1fb2180fc37	[ "MIT" ]	20	2017-03-14T07:21:58.000Z	2019-05-21T09:26:30.000Z	# -- coding: utf-8 -- from webframework import TESTDATA from selenium.webdriver.common.by import By from webframework.extension.util.common_utils import * from time import sleep from pagemodel.ss_backup_restore import Ss_backup_restore from pagemodel.ss_backup_restore_back_up_config import Ss_backup_restore_back_up_c...	45.482143	137	0.748724	335	2,547	5.170149	0.173134	0.17552	0.320439	0.177829	0.808891	0.733834	0.645497	0.595266	0.474596	0.474596	0.015116	0.168826	2,547	55	138	46.309091	0.803023	0.414998	0.090909	0	0	0	0	0	0	0	1	0.090909	false	0	0.363636	0	0.681818	0	0	0	0	null	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	6
da4d0bfcc82a5ea1d9d193343dc28189d1326d86	123	py	Python	app/blueprint/management/__init__.py	NTUT-108-SE/CMS-Backend	1daa37960ba61f935da5174516f0a2e411b68706	[ "MIT" ]	null	null	null	app/blueprint/management/__init__.py	NTUT-108-SE/CMS-Backend	1daa37960ba61f935da5174516f0a2e411b68706	[ "MIT" ]	null	null	null	app/blueprint/management/__init__.py	NTUT-108-SE/CMS-Backend	1daa37960ba61f935da5174516f0a2e411b68706	[ "MIT" ]	1	2019-10-12T02:48:16.000Z	2019-10-12T02:48:16.000Z	from flask import Blueprint management = Blueprint('management', __name__, url_prefix='/management') from . import index	20.5	72	0.780488	14	123	6.5	0.642857	0.417582	0	0	0	0	0	0	0	0	0	0.121951	123	5	73	24.6	0.842593	0	0	0	0	0.170732	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	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	0	1	0	1	1	6
e528c9f728e6bdd164111a41c510fc4c40213fe9	950	py	Python	test/test_common_integration_action.py	Logicworks/opsgenie-python-sdk	244c4c40ddcc25e70df5ba4425ab8d7c8da59c18	[ "Apache-2.0" ]	null	null	null	test/test_common_integration_action.py	Logicworks/opsgenie-python-sdk	244c4c40ddcc25e70df5ba4425ab8d7c8da59c18	[ "Apache-2.0" ]	null	null	null	test/test_common_integration_action.py	Logicworks/opsgenie-python-sdk	244c4c40ddcc25e70df5ba4425ab8d7c8da59c18	[ "Apache-2.0" ]	1	2020-11-07T11:27:13.000Z	2020-11-07T11:27:13.000Z	# coding: utf-8 """ OpsGenie REST API OpsGenie OpenAPI Specification # noqa: E501 OpenAPI spec version: 2.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import opsgenie_swagger from opsgenie_swagger.models.comm...	23.170732	107	0.728421	100	950	6.71	0.56	0.089419	0.056632	0.080477	0.131148	0.131148	0	0	0	0	0.016993	0.194737	950	40	108	23.75	0.860131	0.442105	0.214286	1	0	0.016393	0	0	0.025	0	1	0.214286	false	0.214286	0.357143	0	0.642857	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	1	0	0	1	0	1	1	0	1	0	6
e53f4b656a9d1a82a63ab88e51388d3c53aae8e2	203	py	Python	libtbx/command_line/show_numpy_version.py	rimmartin/cctbx_project	644090f9432d9afc22cfb542fc3ab78ca8e15e5d	[ "BSD-3-Clause-LBNL" ]	155	2016-11-23T12:52:16.000Z	2022-03-31T15:35:44.000Z	libtbx/command_line/show_numpy_version.py	rimmartin/cctbx_project	644090f9432d9afc22cfb542fc3ab78ca8e15e5d	[ "BSD-3-Clause-LBNL" ]	590	2016-12-10T11:31:18.000Z	2022-03-30T23:10:09.000Z	libtbx/command_line/show_numpy_version.py	rimmartin/cctbx_project	644090f9432d9afc22cfb542fc3ab78ca8e15e5d	[ "BSD-3-Clause-LBNL" ]	115	2016-11-15T08:17:28.000Z	2022-02-09T15:30:14.000Z	from __future__ import absolute_import, division, print_function def run(): try: import numpy except ImportError: print("None") else: print(numpy.__version__) if (__name__ == "__main__"): run()	22.555556	64	0.73399	25	203	5.24	0.76	0	0	0	0	0	0	0	0	0	0	0.147783	203	8	65	25.375	0.757225	0	0	0	0	0.059113	0	0	0	0	1	0.142857	true	0	0.428571	0	0.571429	0.428571	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	6
0061bf2655a9bd3eb46edc9fd68024064fd5c444	189	py	Python	prml/nn/array/__init__.py	jinmang2/PRML	8f8270cbae986c607f3cc6f89afefd58fa69fadd	[ "MIT" ]	11,017	2017-07-03T03:06:25.000Z	2022-03-30T18:47:20.000Z	prml/nn/array/__init__.py	jinmang2/PRML	8f8270cbae986c607f3cc6f89afefd58fa69fadd	[ "MIT" ]	21	2017-08-13T01:35:41.000Z	2022-03-21T06:25:09.000Z	prml/nn/array/__init__.py	jinmang2/PRML	8f8270cbae986c607f3cc6f89afefd58fa69fadd	[ "MIT" ]	3,417	2017-07-05T12:55:52.000Z	2022-03-30T18:47:27.000Z	from prml.nn.array.array import Array, array, asarray from prml.nn.array.reshape import reshape_method from prml.nn.function import broadcast, broadcast_to Array.reshape = reshape_method	27	53	0.825397	29	189	5.275862	0.37931	0.156863	0.196078	0.196078	0	0	0	0	0	0	0	0.10582	189	6	54	31.5	0.905325	0	0	0	0	0	0	0	0	0	1	0	true	0	0.75	0	0.75	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	1	0	1	0	0	0	6
00755ac4568f783da4326416b42ba6899bf03698	40	py	Python	a.py	pythonghLYQ/test	898a181edc72fd1474f6c776bf3748cc3673c92c	[ "MIT" ]	null	null	null	a.py	pythonghLYQ/test	898a181edc72fd1474f6c776bf3748cc3673c92c	[ "MIT" ]	null	null	null	a.py	pythonghLYQ/test	898a181edc72fd1474f6c776bf3748cc3673c92c	[ "MIT" ]	null	null	null	n = 1 n1 = 2 n2 = 333 n2 = 3 n3 = 44	4.444444	8	0.425	10	40	1.7	0.9	0	0	0	0	0	0	0	0	0	0.545455	0.45	40	8	9	5	0.227273	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	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
008235b138ded56522ec4557b45d1ab1ef29f081	7,667	py	Python	tests/kyu_7_tests/test_naughty_or_nice.py	the-zebulan/CodeWars	1eafd1247d60955a5dfb63e4882e8ce86019f43a	[ "MIT" ]	40	2016-03-09T12:26:20.000Z	2022-03-23T08:44:51.000Z	tests/kyu_7_tests/test_naughty_or_nice.py	akalynych/CodeWars	1eafd1247d60955a5dfb63e4882e8ce86019f43a	[ "MIT" ]	null	null	null	tests/kyu_7_tests/test_naughty_or_nice.py	akalynych/CodeWars	1eafd1247d60955a5dfb63e4882e8ce86019f43a	[ "MIT" ]	36	2016-11-07T19:59:58.000Z	2022-03-31T11:18:27.000Z	import unittest from katas.kyu_7.naughty_or_nice import naughty_or_nice class NaughtyOrNiceTestCase(unittest.TestCase): def test_equals(self): self.assertEqual(naughty_or_nice({ 'January': { '1': 'Naughty', '2': 'Nice', '3': 'Naughty', '4': 'Nice', '5': 'Nice',...	58.083333	77	0.357376	769	7,667	3.552666	0.076723	0.018302	0.021962	0.029283	0.894217	0.863104	0.843338	0.75183	0.729868	0.592606	0.124376	0.346681	7,667	131	78	58.526718	0.421042	0	0.226563	0	0	0.33742	0	0	0	0.007813	1	0.007813	false	0	0.015625	0	0.03125	0	0	0	0	null	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
00c9329e0d245f741d19eac1d6f684a37d886655	88	py	Python	dynpaper/__init__.py	Minimalistic/dynpaper	6f96baea5f19ad0b61ec2ea095013ef659df7df9	[ "BSD-3-Clause" ]	null	null	null	dynpaper/__init__.py	Minimalistic/dynpaper	6f96baea5f19ad0b61ec2ea095013ef659df7df9	[ "BSD-3-Clause" ]	null	null	null	dynpaper/__init__.py	Minimalistic/dynpaper	6f96baea5f19ad0b61ec2ea095013ef659df7df9	[ "BSD-3-Clause" ]	null	null	null	from .dynpaper import main as dpmain from sys import argv def main(): dpmain(argv)	14.666667	36	0.727273	14	88	4.571429	0.642857	0	0	0	0	0	0	0	0	0	0	0.204545	88	5	37	17.6	0.914286	0	0	0	0	0	0	0	0	0	1	0.25	true	0	0.5	0	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	1	1	0	1	0	1	0	6
972750c6ea94187422f5081d998854ea15b4af11	520	py	Python	web_app/app/routes.py	4398TempleSpring2020/cscapstoneproject-infinitetrivia	9b0d307a447f519bef1b6dabe93c73b2d1f329e3	[ "MIT" ]	1	2020-05-18T06:14:21.000Z	2020-05-18T06:14:21.000Z	web_app/app/routes.py	ahmadsaad007/cscapstoneproject-infinitetrivia	0dc590754c96c253e10a6613bff1c7c41baee75d	[ "MIT" ]	3	2020-04-06T18:11:29.000Z	2020-04-09T21:01:23.000Z	web_app/app/routes.py	ahmadsaad007/cscapstoneproject-infinitetrivia	0dc590754c96c253e10a6613bff1c7c41baee75d	[ "MIT" ]	2	2020-05-18T06:08:25.000Z	2020-07-08T04:37:41.000Z	from flask import render_template from flask_login import login_required, current_user from app import app @app.route('/') @app.route('/index') def index(): return render_template("index.html") @app.route('/create_room') def create_room_page(): return render_template("create_room.html") @app.route('/logi...	19.259259	69	0.744231	71	520	5.225352	0.28169	0.188679	0.215633	0.19407	0	0	0	0	0	0	0	0.117308	520	26	70	20	0.808279	0	0	0	0	0.167308	0	0	0	0	1	0.235294	true	0	0.176471	0.235294	0.647059	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	1	1	0	6
972a0ca7dcf059c89d49c5902c159a2d9490144a	199	py	Python	src/myrtlespeech/run/stage.py	SerailHydra/myrtlespeech	7dc6930d1d2dacefcb304d41f3de2eaf4b5207ff	[ "BSD-3-Clause" ]	11	2019-10-24T05:24:38.000Z	2020-08-13T15:05:29.000Z	src/myrtlespeech/run/stage.py	SerailHydra/myrtlespeech	7dc6930d1d2dacefcb304d41f3de2eaf4b5207ff	[ "BSD-3-Clause" ]	20	2019-10-17T16:20:35.000Z	2021-03-15T10:49:04.000Z	src/myrtlespeech/run/stage.py	SerailHydra/myrtlespeech	7dc6930d1d2dacefcb304d41f3de2eaf4b5207ff	[ "BSD-3-Clause" ]	1	2019-11-04T18:38:27.000Z	2019-11-04T18:38:27.000Z	import enum from myrtlespeech.protos import stage_pb2 class Stage(enum.Enum): TRAIN = stage_pb2.Stage.TRAIN EVAL = stage_pb2.Stage.EVAL TRAIN_AND_EVAL = stage_pb2.Stage.TRAIN_AND_EVAL	19.9	51	0.768844	31	199	4.677419	0.354839	0.22069	0.268966	0.248276	0	0	0	0	0	0	0.023952	0.160804	199	9	52	22.111111	0.844311	0	0	0	0	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	0	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	1	0	1	0	6
973112cc9ef3c148874316e9a670548a032b17ce	5,616	py	Python	privacygan/cifar/cifar_gan.py	microsoft/privGAN	37e3484baf3b5a4d16b5f593a3f22d5a8d2da91b	[ "MIT" ]	17	2020-07-23T10:39:03.000Z	2021-12-30T01:21:41.000Z	privacygan/cifar/cifar_gan.py	microsoft/privGAN	37e3484baf3b5a4d16b5f593a3f22d5a8d2da91b	[ "MIT" ]	2	2020-09-26T01:20:56.000Z	2020-10-29T20:05:20.000Z	privacygan/cifar/cifar_gan.py	microsoft/privGAN	37e3484baf3b5a4d16b5f593a3f22d5a8d2da91b	[ "MIT" ]	11	2020-07-23T12:09:13.000Z	2022-01-28T20:32:14.000Z	#Copyright (c) Microsoft Corporation. All rights reserved. #Licensed under the MIT License. from tensorflow.keras import Sequential from tensorflow.keras.layers import Dense, Dropout, Flatten, LeakyReLU, Reshape, Conv2DTranspose, Conv2D from tensorflow.keras.optimizers import Adam from tensorflow.keras import initia...	51.054545	117	0.612892	696	5,616	4.900862	0.145115	0.079156	0.105541	0.123131	0.784228	0.767224	0.767224	0.732923	0.732337	0.69657	0.062748	0.236645	5,616	109	118	51.522936	0.732913	0.10933	0.701299	0	0	0.057739	0.00628	0	0	0	1	0.038961	false	0	0.064935	0	0.142857	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	6
976e5b7cc9cf1af807e94cd797ad3ac58d6ff300	56	py	Python	RoguePy/UI/__init__.py	v4nz666/mustached-archer	b9c7787e299a2d67b69e802bce9ea2e7ed7b3f99	[ "MIT" ]	7	2015-03-24T23:52:21.000Z	2019-10-01T21:26:48.000Z	RoguePy/UI/__init__.py	v4nz666/MineClimbeR-L-	b9c7787e299a2d67b69e802bce9ea2e7ed7b3f99	[ "MIT" ]	52	2015-03-12T00:49:34.000Z	2021-09-28T18:01:03.000Z	RoguePy/UI/__init__.py	v4nz666/MineClimbeR-L-	b9c7787e299a2d67b69e802bce9ea2e7ed7b3f99	[ "MIT" ]	null	null	null	from UI import UI from View import View import Elements	14	21	0.821429	10	56	4.6	0.5	0.434783	0	0	0	0	0	0	0	0	0	0.178571	56	3	22	18.666667	1	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	1	0	1	0	1	0	6
9788076ac00ac12c3d7841511cf6549d671489c8	216	py	Python	src/geoserver/util.py	slavas62/gsconfig	c016f7ec9a1c8773354d2eda73f29216bde73138	[ "MIT" ]	null	null	null	src/geoserver/util.py	slavas62/gsconfig	c016f7ec9a1c8773354d2eda73f29216bde73138	[ "MIT" ]	null	null	null	src/geoserver/util.py	slavas62/gsconfig	c016f7ec9a1c8773354d2eda73f29216bde73138	[ "MIT" ]	null	null	null	# shapefile_and_friends = None # shapefile_plus_sidecars = shapefile_and_friends("test/data/states") def shapefile_and_friends(path): return dict((ext, path + "." + ext) for ext in ['shx', 'shp', 'dbf', 'prj'])	36	80	0.699074	30	216	4.766667	0.666667	0.251748	0.398601	0	0	0	0	0	0	0	0	0.134259	216	5	81	43.2	0.764706	0.444444	0	0	0	0.111111	0	0	0	0	1	0.5	false	0	0	0.5	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	1	0	0	0	1	1	0	6
978d1bb114deae6e8038e24606fef035eec4e30a	78	py	Python	backend/phonebook/phonebook/settings/test.py	unmade/phonebook	121b2e5bb2eb217f5e183aa0c39a6d12f227d5e3	[ "MIT" ]	null	null	null	backend/phonebook/phonebook/settings/test.py	unmade/phonebook	121b2e5bb2eb217f5e183aa0c39a6d12f227d5e3	[ "MIT" ]	null	null	null	backend/phonebook/phonebook/settings/test.py	unmade/phonebook	121b2e5bb2eb217f5e183aa0c39a6d12f227d5e3	[ "MIT" ]	null	null	null	from .base import * # pylint: disable=wildcard-import,unused-wildcard-import	39	77	0.782051	10	78	6.1	0.7	0.459016	0	0	0	0	0	0	0	0	0	0.102564	78	1	78	78	0.871429	0.692308	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	1	0	1	0	1	0	6
979fabe6d90a439caebc5b34f2de97c664011c86	371	py	Python	mlreflect/training/__init__.py	schreiber-lab/mlreflect	88a80ccac48461cc8934a46041726b70e469c6b8	[ "MIT" ]	null	null	null	mlreflect/training/__init__.py	schreiber-lab/mlreflect	88a80ccac48461cc8934a46041726b70e469c6b8	[ "MIT" ]	null	null	null	mlreflect/training/__init__.py	schreiber-lab/mlreflect	88a80ccac48461cc8934a46041726b70e469c6b8	[ "MIT" ]	null	null	null	from .noise_generator import NoiseGenerator, NoiseGeneratorLog, UniformNoiseGenerator from .prediction import Prediction from .preprocessing import InputPreprocessor, OutputPreprocessor from .training import Trainer __all__ = ['NoiseGenerator', 'NoiseGeneratorLog', 'UniformNoiseGenerator', 'Prediction', 'InputPreproce...	46.375	109	0.811321	28	371	10.571429	0.5	0.209459	0.351351	0	0	0	0	0	0	0	0	0.107817	371	7	110	53	0.89426	0	0	0	0	0.280323	0.056604	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	1	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	1	0	0	0	6
97aa82bc2c6e9edc25d5b2a9a347b75c0f21290c	104	py	Python	backend/beedare/main/views.py	gijs3ntius/BeeDare	9ad5a93dad9b531b332aeb58f9b97e98585bc1ac	[ "Apache-2.0" ]	null	null	null	backend/beedare/main/views.py	gijs3ntius/BeeDare	9ad5a93dad9b531b332aeb58f9b97e98585bc1ac	[ "Apache-2.0" ]	17	2020-06-05T18:27:11.000Z	2022-03-11T23:24:50.000Z	backend/beedare/main/views.py	gijsentius/BeeDare	9ad5a93dad9b531b332aeb58f9b97e98585bc1ac	[ "Apache-2.0" ]	null	null	null	from flask import jsonify from . import * @main.route('/') def index(): return jsonify({}), 200	10.4	27	0.625	13	104	5	0.769231	0	0	0	0	0	0	0	0	0	0.036585	0.211538	104	9	28	11.555556	0.756098	0	0	0	0	0.009709	0	0	0	0	1	0.2	true	0	0.4	0.2	0.8	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	1	1	0	6
97c2a64782ca656f19eafe2d8dbdd0284eb9419a	256	py	Python	AutotestWebD/apps/myadmin/service/AdminLoginService.py	yangjourney/sosotest	2e88099a829749910ca325253c9b1a2e368d21a0	[ "MIT" ]	422	2019-08-18T05:04:20.000Z	2022-03-31T06:49:19.000Z	AutotestWebD/apps/myadmin/service/AdminLoginService.py	LinSongJian1985/sosotest	091863dee531b5726650bb63efd6f169267cbeb4	[ "MIT" ]	10	2019-10-24T09:55:38.000Z	2021-09-29T17:28:43.000Z	AutotestWebD/apps/myadmin/service/AdminLoginService.py	LinSongJian1985/sosotest	091863dee531b5726650bb63efd6f169267cbeb4	[ "MIT" ]	202	2019-08-18T05:04:27.000Z	2022-03-30T05:57:18.000Z	import apps.common.func.InitDjango from all_models.models import * class AdminLoginService(object): @staticmethod def getUserLoginType(loginName,passWord): return TbAdminUser.objects.filter(loginName=loginName, passWord=passWord, state=1)	32	90	0.789063	28	256	7.178571	0.785714	0.169154	0	0	0	0	0	0	0	0	0.004464	0.125	256	8	90	32	0.892857	0	0	0	0	0	0	0	0	0	1	0.166667	false	0.333333	0.333333	0.166667	0.833333	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	1	0	6
8ae1edd33eb05c35a8a76b21917fc9fddcdd294d	201	py	Python	graceful-grasshoppers/PySpace/posts/admin.py	georgemunyoro/summer-code-jam-2021	21084688a4c4315ff6aa40e28706fcafe1c77a27	[ "MIT" ]	40	2020-08-02T07:38:22.000Z	2021-07-26T01:46:50.000Z	graceful-grasshoppers/PySpace/posts/admin.py	georgemunyoro/summer-code-jam-2021	21084688a4c4315ff6aa40e28706fcafe1c77a27	[ "MIT" ]	134	2020-07-31T12:15:45.000Z	2020-12-13T04:42:19.000Z	graceful-grasshoppers/PySpace/posts/admin.py	georgemunyoro/summer-code-jam-2021	21084688a4c4315ff6aa40e28706fcafe1c77a27	[ "MIT" ]	101	2020-07-31T12:00:47.000Z	2021-11-01T09:06:58.000Z	from django.contrib import admin from .models import Post, Like, Dislike, PostComment admin.site.register(Post) admin.site.register(Dislike) admin.site.register(Like) admin.site.register(PostComment)	25.125	52	0.81592	28	201	5.857143	0.428571	0.219512	0.414634	0	0	0	0	0	0	0	0	0.079602	201	7	53	28.714286	0.886486	0	0	0	0	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	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
c1092990e1de84632a09d5b777dd00edb2334254	233	py	Python	jeri/core/models/manager/__init__.py	fmorgner/jeri	5b33411c0e25375e3e5928fc044581a24c56f3ad	[ "BSD-3-Clause" ]	null	null	null	jeri/core/models/manager/__init__.py	fmorgner/jeri	5b33411c0e25375e3e5928fc044581a24c56f3ad	[ "BSD-3-Clause" ]	null	null	null	jeri/core/models/manager/__init__.py	fmorgner/jeri	5b33411c0e25375e3e5928fc044581a24c56f3ad	[ "BSD-3-Clause" ]	null	null	null	from jeri.core.models.manager.object import ObjectManager # NOQA from jeri.core.models.manager.related import RelatedManager # NOQA from jeri.core.models.manager.error import ( # NOQA FilterError, MultipleResultsError, )	29.125	67	0.776824	28	233	6.464286	0.5	0.132597	0.198895	0.298343	0.458564	0.320442	0	0	0	0	0	0.141631	233	7	68	33.285714	0.905	0.060086	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	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
c10f1be477275452abfab2a3168b3cd42f49526a	162	py	Python	scripts/portal/240092200_down.py	G00dBye/YYMS	1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb	[ "MIT" ]	54	2019-04-16T23:24:48.000Z	2021-12-18T11:41:50.000Z	scripts/portal/240092200_down.py	G00dBye/YYMS	1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb	[ "MIT" ]	3	2019-05-19T15:19:41.000Z	2020-04-27T16:29:16.000Z	scripts/portal/240092200_down.py	G00dBye/YYMS	1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb	[ "MIT" ]	49	2020-11-25T23:29:16.000Z	2022-03-26T16:20:24.000Z	if sm.hasQuestCompleted(31351): # Clean up 7 sm.warp(240092100, 2) elif sm.hasQuestCompleted(31348): sm.warp(240092101, 2) else: sm.warp(240092100, 2)	27	44	0.703704	24	162	4.75	0.583333	0.157895	0.263158	0.280702	0	0	0	0	0	0	0.301471	0.160494	162	6	45	27	0.536765	0.061728	0.333333	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0	1	0	0	null	0	1	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	6
c16406f91675ec71308b50f48574874a1511f2d2	67	py	Python	Reading Data/lesson-13-querying-vancouver-crimes/tests/test_crime_types_2.py	danielgarm/Data-Science-and-Machine-Learning	fa3e85cc42eb2e9f964ab5abb34d1c93e16d1cd9	[ "MIT" ]	null	null	null	Reading Data/lesson-13-querying-vancouver-crimes/tests/test_crime_types_2.py	danielgarm/Data-Science-and-Machine-Learning	fa3e85cc42eb2e9f964ab5abb34d1c93e16d1cd9	[ "MIT" ]	2	2022-01-11T21:04:51.000Z	2022-01-11T21:05:05.000Z	Reading Data/lesson-13-querying-vancouver-crimes/tests/test_crime_types_2.py	danielgarm/Data-Science-and-Machine-Learning	fa3e85cc42eb2e9f964ab5abb34d1c93e16d1cd9	[ "MIT" ]	null	null	null	def test_crime_types_2(): assert crime_types_count.sum() == 64	22.333333	40	0.731343	11	67	4	0.818182	0.454545	0	0	0	0	0	0	0	0	0.052632	0.149254	67	2	41	33.5	0.719298	0	0	0	0	0	0	0	0	0.5	1	0.5	true	0	0	0	0.5	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	1	0	1	1	0	0	0	0	0	6
c18d7f061ae625a2110d10e448c3fb9a70a2b24a	101	py	Python	pts/model/n_beats/__init__.py	StatMixedML/pytorch-ts	4bc2d247c70c59479d359d13d2db5739227307e8	[ "Apache-2.0", "MIT" ]	1	2020-06-26T15:12:01.000Z	2020-06-26T15:12:01.000Z	pts/model/n_beats/__init__.py	StatMixedML/pytorch-ts	4bc2d247c70c59479d359d13d2db5739227307e8	[ "Apache-2.0", "MIT" ]	null	null	null	pts/model/n_beats/__init__.py	StatMixedML/pytorch-ts	4bc2d247c70c59479d359d13d2db5739227307e8	[ "Apache-2.0", "MIT" ]	null	null	null	from .n_beats_estimator import NBEATSEstimator from .n_beats_ensemble import NBEATSEnsembleEstimator	33.666667	53	0.90099	12	101	7.25	0.666667	0.114943	0.229885	0	0	0	0	0	0	0	0	0.079208	101	2	54	50.5	0.935484	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	1	0	1	0	1	0	6
c1bd4dbb5d061bfa8acaad25546f19ef98dd8196	12,393	py	Python	pyaz/backup/protection/__init__.py	py-az-cli/py-az-cli	9a7dc44e360c096a5a2f15595353e9dad88a9792	[ "MIT" ]	null	null	null	pyaz/backup/protection/__init__.py	py-az-cli/py-az-cli	9a7dc44e360c096a5a2f15595353e9dad88a9792	[ "MIT" ]	null	null	null	pyaz/backup/protection/__init__.py	py-az-cli/py-az-cli	9a7dc44e360c096a5a2f15595353e9dad88a9792	[ "MIT" ]	1	2022-02-03T09:12:01.000Z	2022-02-03T09:12:01.000Z	''' Manage protection of your items, enable protection or disable it, or take on-demand backups. ''' from ... pyaz_utils import _call_az def check_vm(resource_group=None, vm=None, vm_id=None): ''' Find out whether the virtual machine is protected or not. If protected, it returns the recovery services vault ID,...	65.920213	345	0.75817	1,750	12,393	5.248571	0.113714	0.026783	0.029396	0.035384	0.789439	0.785411	0.760806	0.758084	0.74295	0.74295	0.000197	0.179133	12,393	187	346	66.272727	0.902684	0.770596	0	0	0	0.166883	0.031128	0	0	0	1	0.478261	false	0	0.043478	0	1	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	6
c1c2f835973648f5b3e9bdd7e0be67d9196d7368	246	py	Python	app/controllers/report.py	FelixWolf/mpbb	c18e8995f9903b7a0907542af391f6f2be4e711a	[ "Unlicense" ]	null	null	null	app/controllers/report.py	FelixWolf/mpbb	c18e8995f9903b7a0907542af391f6f2be4e711a	[ "Unlicense" ]	null	null	null	app/controllers/report.py	FelixWolf/mpbb	c18e8995f9903b7a0907542af391f6f2be4e711a	[ "Unlicense" ]	null	null	null	from app import app, render_template from flask import request @app.route('/report') def showReport(): return render_template("report.htm") @app.route('/login', methods=['POST']) def doReport(): return render_template("login_sent.htm")	22.363636	44	0.727642	33	246	5.30303	0.545455	0.24	0.228571	0	0	0	0	0	0	0	0	0.121951	246	10	45	24.6	0.810185	0	0	0	0	0.166667	0	0	0	0	1	0.25	true	0	0.25	0.25	0.75	0	0	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	1	1	0	0	1	1	0	6
de025b6ede3c6731ef73c0236142b51c513f7aa3	121	py	Python	holobot/discord/sdk/actions/__init__.py	rexor12/holobot	89b7b416403d13ccfeee117ef942426b08d3651d	[ "MIT" ]	1	2021-05-24T00:17:46.000Z	2021-05-24T00:17:46.000Z	holobot/discord/sdk/actions/__init__.py	rexor12/holobot	89b7b416403d13ccfeee117ef942426b08d3651d	[ "MIT" ]	41	2021-03-24T22:50:09.000Z	2021-12-17T12:15:13.000Z	holobot/discord/sdk/actions/__init__.py	rexor12/holobot	89b7b416403d13ccfeee117ef942426b08d3651d	[ "MIT" ]	null	null	null	from .action_base import ActionBase from .do_nothing_action import DoNothingAction from .reply_action import ReplyAction	30.25	46	0.876033	16	121	6.375	0.625	0.235294	0	0	0	0	0	0	0	0	0	0.099174	121	3	47	40.333333	0.93578	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	1	0	1	0	1	0	6
a9a4dc73f969d95f1a7928a80d758cda4ad88b96	556	py	Python	nbtex/core/operators/UnaryFormatting.py	narang99/pytex	75c0a5bada8859a1ecad98305647fdbeb6cd85ce	[ "MIT" ]	1	2020-08-27T18:02:42.000Z	2020-08-27T18:02:42.000Z	nbtex/core/operators/UnaryFormatting.py	narang99/pytex	75c0a5bada8859a1ecad98305647fdbeb6cd85ce	[ "MIT" ]	null	null	null	nbtex/core/operators/UnaryFormatting.py	narang99/pytex	75c0a5bada8859a1ecad98305647fdbeb6cd85ce	[ "MIT" ]	null	null	null	from nbtex.core.operators.Operator import InvertibleOperator from nbtex.core.Precedence import PRECEDENCE from nbtex.LatexInterface.LatexFormatters import LatexBasicFormatter def make_subscript(base, subs): return base + LatexBasicFormatter.subscript(subs) Subscript = InvertibleOperator(PRECEDENCE.POWER, make_s...	39.714286	79	0.854317	53	556	8.924528	0.396226	0.236786	0.27907	0.32981	0	0	0	0	0	0	0	0.077338	556	13	80	42.769231	0.922027	0	0	0	0	0	0	0	0	0	1	0.111111	false	0	0.333333	0.111111	0.555556	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	0	1	1	1	0	6
a9c787907e082a6ba997bc0f1ce5adda8750ec2d	143	py	Python	briq/briq/database/mongo_setup.py	roshansathya/quotes_application	eeaf4a732cc23509bac70ada8f9f5e91de4acb06	[ "MIT" ]	null	null	null	briq/briq/database/mongo_setup.py	roshansathya/quotes_application	eeaf4a732cc23509bac70ada8f9f5e91de4acb06	[ "MIT" ]	null	null	null	briq/briq/database/mongo_setup.py	roshansathya/quotes_application	eeaf4a732cc23509bac70ada8f9f5e91de4acb06	[ "MIT" ]	null	null	null	import mongoengine from settings import DB_ALIAS, DB_NAME def global_init(): mongoengine.register_connection(alias=DB_ALIAS, name=DB_NAME)	28.6	65	0.825175	21	143	5.333333	0.571429	0.125	0	0	0	0	0	0	0	0	0	0.104895	143	5	65	28.6	0.875	0	0	0	0	0	0	0	0	0	1	0.25	true	0	0.5	0	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	1	1	0	1	0	1	0	6
e76aad4d743fd2d353d8cd17e3b8bf061d24761b	13,987	py	Python	choix/lsr.py	dbdr/choix	b12f302c08251216af4d7ce833aec9a8d6fafbf7	[ "MIT" ]	117	2017-01-04T14:34:11.000Z	2022-03-30T21:41:16.000Z	choix/lsr.py	dbdr/choix	b12f302c08251216af4d7ce833aec9a8d6fafbf7	[ "MIT" ]	22	2017-01-09T03:33:59.000Z	2022-03-12T02:22:34.000Z	choix/lsr.py	dbdr/choix	b12f302c08251216af4d7ce833aec9a8d6fafbf7	[ "MIT" ]	27	2017-02-22T13:59:11.000Z	2021-07-21T17:36:40.000Z	"""(Iterative) Luce Spectral Ranking and related inference algorithms.""" import functools import numpy as np from .convergence import NormOfDifferenceTest from .utils import exp_transform, log_transform, statdist def _init_lsr(n_items, alpha, initial_params): """Initialize the LSR Markov chain and the weights....	35.681122	79	0.678201	1,849	13,987	5.043807	0.117902	0.044606	0.035385	0.058975	0.856959	0.847416	0.832082	0.810422	0.806562	0.791014	0.008948	0.232931	13,987	391	80	35.772379	0.860285	0.674483	0.350649	0	0	0.010124	0	0	0	0	1	0.142857	false	0	0.051948	0	0.337662	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	6
e7d3171597944c62fbd12c44217d0bfec09a0ddf	27	py	Python	src/wann_genetic/postopt/__init__.py	plonerma/wann-genetic	c4a8a1db81665b2549994d615e1d347dbe00226a	[ "MIT" ]	4	2018-11-03T13:58:52.000Z	2020-03-06T09:19:03.000Z	src/wann_genetic/postopt/__init__.py	plonerma/wann-genetic	c4a8a1db81665b2549994d615e1d347dbe00226a	[ "MIT" ]	92	2018-05-17T18:07:01.000Z	2022-03-29T00:37:30.000Z	src/reporter/reporter/__init__.py	tomasfarias/pipeline	e32f1d34fef1cc9fb534e244e71f41276a979002	[ "MIT" ]	4	2020-07-01T12:20:55.000Z	2022-01-24T20:09:15.000Z	from .report import Report	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	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	1	0	1	0	1	0	6
e7dde53f6c4f4e4dfa3d77cccf7579cd39c51275	1,048	py	Python	common.py	sankovalev/vk_reg_bot	a9ad89b768d99a15d8bca0aa0e266a429a733ed1	[ "MIT" ]	2	2019-08-16T19:36:41.000Z	2020-01-27T11:19:54.000Z	common.py	sankovalev/vk_reg_bot	a9ad89b768d99a15d8bca0aa0e266a429a733ed1	[ "MIT" ]	null	null	null	common.py	sankovalev/vk_reg_bot	a9ad89b768d99a15d8bca0aa0e266a429a733ed1	[ "MIT" ]	2	2020-01-27T11:20:00.000Z	2021-03-25T16:53:47.000Z	import MySQLdb from settings import DB_params as p def check_register(user_id): db=MySQLdb.connect(host=p['host'], user=p['user'], passwd=p['passwd'], db=p['db'], charset = "utf8", use_unicode = True) c=db.cursor() c.execute("""SELECT count(*) FROM Students WHERE idVK=%s""", [str(user_id)]) count = c.fetch...	32.75	123	0.622137	163	1,048	3.920245	0.276074	0.056338	0.050078	0.070423	0.785603	0.785603	0.785603	0.785603	0.785603	0.785603	0.008092	0.174618	1,048	32	124	32.75	0.730636	0	0.655172	0	0	0.172545	0	0	0	0	1	0.103448	false	0.103448	0.068966	0	0.344828	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	6
99e8db6715baefee2ba1fcb821cc85eb747a4489	886	py	Python	pdg_mp3_converter/converter.py	PaulusDeGross/pdg-mp3-converter	3b6bf30e71d0a2871f59b95925e25735f9cb3257	[ "MIT" ]	null	null	null	pdg_mp3_converter/converter.py	PaulusDeGross/pdg-mp3-converter	3b6bf30e71d0a2871f59b95925e25735f9cb3257	[ "MIT" ]	null	null	null	pdg_mp3_converter/converter.py	PaulusDeGross/pdg-mp3-converter	3b6bf30e71d0a2871f59b95925e25735f9cb3257	[ "MIT" ]	null	null	null	import os from pathlib import Path from colorama import Fore def square(s: str) -> str: return '+' + '-' * (len(s) + 2) + '+\n\| ' + s + ' \|\n+' + '-' * (len(s) + 2) + '+' def mp4ToMp3(path, name): try: base = path os.rename(path, f'{name}.mp3') print(f'{Fore.GREEN}{square(...	38.521739	133	0.586907	125	886	4.16	0.36	0.061538	0.019231	0.057692	0.769231	0.769231	0.769231	0.769231	0.769231	0.769231	0.014706	0.232506	886	23	134	38.521739	0.75	0	0.421053	0	0.210526	0.473988	0.175723	0	0	0	1	0.157895	false	0	0.157895	0.052632	0.368421	0.105263	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	6
418d2fc09132800839f8e35b8133516fea3bd8cd	182	py	Python	notifications/urls.py	muremwa/NSP	578349872041f7b080ee3c6346f9a82e63bd94c9	[ "MIT" ]	20	2018-08-02T15:10:30.000Z	2019-05-15T14:38:06.000Z	notifications/urls.py	muremwa/NSP	578349872041f7b080ee3c6346f9a82e63bd94c9	[ "MIT" ]	55	2018-06-19T04:31:56.000Z	2018-07-19T17:42:00.000Z	notifications/urls.py	muremwa/NSP	578349872041f7b080ee3c6346f9a82e63bd94c9	[ "MIT" ]	10	2018-08-03T10:42:16.000Z	2019-01-31T10:07:57.000Z	from django.urls import path from . import views urlpatterns = [ # notification/mark-all-as-read/ path('mark-all-as-read/', views.mark_all_as_read, name='mark-all-read'), ]	22.75	76	0.703297	28	182	4.464286	0.464286	0.224	0.216	0.312	0	0	0	0	0	0	0	0.142857	182	7	77	26	0.801282	0.164835	0	0	0	0.2	0	0	0	0	1	0	false	0	0.4	0	0.4	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	1	0	0	0	6
41b671e9676dbb0b76071f65d9585a03d27e237c	5,587	py	Python	v2/model/backbone/darknet53.py	kimyoon-young/Stronger-yolo	ff6c08f71e9907d83a990ca09f8afc96619a37d9	[ "MIT" ]	8	2020-06-21T02:10:19.000Z	2021-11-26T08:33:17.000Z	v2/model/backbone/darknet53.py	juzigithub/Stronger-yolo	8ee94e8cc195ea36bfab56374c5cea36377803a6	[ "MIT" ]	null	null	null	v2/model/backbone/darknet53.py	juzigithub/Stronger-yolo	8ee94e8cc195ea36bfab56374c5cea36377803a6	[ "MIT" ]	4	2019-11-21T04:12:32.000Z	2021-08-08T17:18:59.000Z	# coding: utf-8 import sys import os sys.path.append(os.path.abspath('../..')) from model.layers import * def darknet53(input_data, training): with tf.variable_scope('darknet53'): with tf.variable_scope('stage0'): conv = convolutional(name='conv0', input_data=input_data, filters_shape=(3, 3, ...	69.8375	106	0.597458	607	5,587	5.261944	0.102142	0.087351	0.105823	0.129618	0.876331	0.864746	0.853788	0.845335	0.768629	0.720413	0.089295	0.304457	5,587	80	107	69.8375	0.73263	0.002327	0.380282	0	0	0.051498	0	0	0	0	1	0.014085	false	0	0.042254	0	0.070423	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	6
41c4629a81a87c13606ea1fc2965a228f44f0410	13,334	py	Python	library/sources/core/yepCore_Subtract_Haswell.py	rguthrie3/Yeppp-Mirror	23cc725a7489d376558bef3e92e31fda014b6c47	[ "BSD-3-Clause" ]	1	2020-11-07T13:33:14.000Z	2020-11-07T13:33:14.000Z	library/sources/core/yepCore_Subtract_Haswell.py	rguthrie3/Yeppp-Mirror	23cc725a7489d376558bef3e92e31fda014b6c47	[ "BSD-3-Clause" ]	null	null	null	library/sources/core/yepCore_Subtract_Haswell.py	rguthrie3/Yeppp-Mirror	23cc725a7489d376558bef3e92e31fda014b6c47	[ "BSD-3-Clause" ]	null	null	null	from peachpy.x86_64 import * from peachpy import * from kernels.binop.binop_VV_V import binop_VV_V from kernels.binop.binop_VS_V import binop_VS_V from kernels.binop.binop_IVV_IV import binop_IVV_IV from common.YepStatus import * # ======================================================================= # ============...	38.537572	80	0.671066	1,939	13,334	4.301702	0.046931	0.04316	0.050354	0.057547	0.926867	0.917036	0.909723	0.906846	0.906846	0.906846	0.04674	0.130343	13,334	345	81	38.649275	0.67256	0.071621	0.6625	0	0	0.163633	0.072393	0	0	0	1	0	false	0	0.025	0	0.025	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	6
68ca74006fb789157d5c6b537a5c395707ffa57d	45	py	Python	copper/ui/panels/scene_view_panel/__init__.py	cinepost/Copperfield_FX	1900b506d0a407a3fb5774ab129b984a547ee0b5	[ "Unlicense" ]	6	2016-07-28T13:59:34.000Z	2021-12-28T05:44:15.000Z	copper/ui/panels/scene_view_panel/__init__.py	cinepost/Copperfield_FX	1900b506d0a407a3fb5774ab129b984a547ee0b5	[ "Unlicense" ]	5	2016-06-30T10:19:25.000Z	2022-03-11T23:19:01.000Z	copper/ui/panels/scene_view_panel/__init__.py	cinepost/Copperfield_FX	1900b506d0a407a3fb5774ab129b984a547ee0b5	[ "Unlicense" ]	3	2019-03-18T05:17:10.000Z	2020-02-14T06:56:40.000Z	from .scene_view_panel import SceneViewPanel	22.5	44	0.888889	6	45	6.333333	1	0	0	0	0	0	0	0	0	0	0	0.088889	45	1	45	45	0.926829	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	1	0	1	0	1	0	6
ec232eecbfeae250d4d81545fb0052d57f7b8405	11,159	py	Python	datagym/models/label_config.py	datagym-ai/datagym-python	65b5b2edaba1d401b08007e86a787585a88b33ae	[ "BSD-3-Clause" ]	4	2020-04-28T23:00:15.000Z	2022-03-21T19:34:10.000Z	datagym/models/label_config.py	datagym-ai/datagym-python	65b5b2edaba1d401b08007e86a787585a88b33ae	[ "BSD-3-Clause" ]	2	2022-02-07T10:34:33.000Z	2022-02-07T10:53:46.000Z	datagym/models/label_config.py	datagym-ai/datagym-python	65b5b2edaba1d401b08007e86a787585a88b33ae	[ "BSD-3-Clause" ]	null	null	null	from typing import Dict, List class LabelConfig: def __init__(self): super().__init__() self.label_config = list() def toJson(self): export_list = [dict(item) for item in self.label_config] return export_list def append_entry(self, entry: "Label", overwrite_duplicate: bo...	32.533528	116	0.524061	1,120	11,159	4.923214	0.091964	0.071092	0.052231	0.057127	0.776387	0.773123	0.765506	0.755894	0.724701	0.645267	0.002073	0.394659	11,159	342	117	32.628655	0.814212	0.068286	0.701887	0	0	0.018962	0	0	0	0	1	0.139623	false	0	0.003774	0.026415	0.260377	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	6
6b4de5fb2d84e3bc26a0399347a09c00d54a89f0	123	py	Python	noxer/tests/test_import.py	noxer-org/noxer	45fa20ac7452c4b9c8ab5ea3f93ab47f41ad29cd	[ "MIT" ]	1	2017-10-19T02:14:56.000Z	2017-10-19T02:14:56.000Z	noxer/tests/test_import.py	noxer-org/noxer	45fa20ac7452c4b9c8ab5ea3f93ab47f41ad29cd	[ "MIT" ]	1	2017-10-02T16:12:36.000Z	2017-10-02T16:12:36.000Z	noxer/tests/test_import.py	noxer-org/noxer	45fa20ac7452c4b9c8ab5ea3f93ab47f41ad29cd	[ "MIT" ]	2	2017-10-02T12:49:08.000Z	2017-10-19T02:14:58.000Z	""" Tests whether basic functionality and names can be imported from noxer """ def test_import(): import noxer as nx	15.375	44	0.723577	18	123	4.888889	0.888889	0	0	0	0	0	0	0	0	0	0	0.203252	123	7	45	17.571429	0.897959	0.577236	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	1	1	0	1	0	1	0	6
6b88b4f697649683302c47b6257829d1510dda00	71	py	Python	hci/__init__.py	acburigo/python-hci	60b369e0780143a09b5801e8d06ddc8203613ce0	[ "MIT" ]	16	2017-11-28T18:06:40.000Z	2022-02-11T09:19:40.000Z	hci/hci/__init__.py	tmart234/BLE-LL	a4acb5de8f81de2f44713a509ee1baf67daf93cf	[ "MIT" ]	3	2017-12-19T11:19:55.000Z	2018-01-04T18:32:44.000Z	hci/__init__.py	acburigo/python-hci	60b369e0780143a09b5801e8d06ddc8203613ce0	[ "MIT" ]	9	2017-12-18T19:39:10.000Z	2022-01-25T01:43:03.000Z	from .hci_packet import HciPacket from .from_binary import from_binary	23.666667	36	0.859155	11	71	5.272727	0.545455	0.344828	0	0	0	0	0	0	0	0	0	0.112676	71	2	37	35.5	0.920635	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	1	0	1	0	1	0	6
6bdede46c50c5d616e741d5e55d20c6ff7a7d94d	120	py	Python	sga/__init__.py	ggarrett13/genetic-algorithm-example	02dc8664245728fff74c54493c504ec1e7bae482	[ "MIT" ]	1	2020-08-10T15:29:59.000Z	2020-08-10T15:29:59.000Z	sga/__init__.py	ggarrett13/genetic-algorithm-example	02dc8664245728fff74c54493c504ec1e7bae482	[ "MIT" ]	null	null	null	sga/__init__.py	ggarrett13/genetic-algorithm-example	02dc8664245728fff74c54493c504ec1e7bae482	[ "MIT" ]	null	null	null	from .chromosome import * from .gene import * from .operators import * from .population import * from .strategy import *	24	25	0.758333	15	120	6.066667	0.466667	0.43956	0	0	0	0	0	0	0	0	0	0.158333	120	5	26	24	0.90099	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	1	0	1	0	1	0	6
d41c2b7313861f9de0d779db223590466781bc72	7,358	py	Python	sfs/fd/nfchoa.py	mgeier/sfs-python	c89f53d08a1f631e41dfe39f6cafe57c8ca48055	[ "MIT" ]	49	2015-01-07T19:04:21.000Z	2022-03-22T18:15:15.000Z	sfs/fd/nfchoa.py	mgeier/sfs-python	c89f53d08a1f631e41dfe39f6cafe57c8ca48055	[ "MIT" ]	115	2015-11-03T09:17:10.000Z	2021-06-06T12:27:29.000Z	sfs/fd/nfchoa.py	mgeier/sfs-python	c89f53d08a1f631e41dfe39f6cafe57c8ca48055	[ "MIT" ]	19	2015-08-15T13:07:50.000Z	2022-03-22T18:15:22.000Z	"""Compute NFC-HOA driving functions. .. include:: math-definitions.rst .. plot:: :context: reset import matplotlib.pyplot as plt import numpy as np import sfs plt.rcParams['figure.figsize'] = 6, 6 xs = -1.5, 1.5, 0 # normal vector for plane wave: npw = sfs.util.direction_vector(np....	30.915966	81	0.609812	1,047	7,358	4.141356	0.160458	0.103782	0.055351	0.051891	0.803736	0.783441	0.762685	0.755996	0.752306	0.738469	0.029687	0.258358	7,358	237	82	31.046414	0.764889	0.628839	0.56	0	0	0	0	0	0	0	1	0.06	false	0	0.1	0	0.22	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	6
d425b25f41e7099cb3171c0aad3bfc9026f4fbbe	150	py	Python	python/demo_queries/publication_details/taxa_by_publication_title.py	jocelynpender/fna-query	e538563f63eaea7b4bc84b7446e7ed7b53001774	[ "MIT" ]	null	null	null	python/demo_queries/publication_details/taxa_by_publication_title.py	jocelynpender/fna-query	e538563f63eaea7b4bc84b7446e7ed7b53001774	[ "MIT" ]	6	2020-01-30T16:52:47.000Z	2021-06-02T00:59:48.000Z	python/demo_queries/publication_details/taxa_by_publication_title.py	jocelynpender/fna-query	e538563f63eaea7b4bc84b7446e7ed7b53001774	[ "MIT" ]	null	null	null	from src.query import * if __name__ == '__main__': ask_query("[[Publication title::Proc. Amer. Acad. Arts]]", "taxa_in_proc_amer_acad_arts.csv")	30	97	0.713333	22	150	4.227273	0.772727	0.172043	0.258065	0.344086	0	0	0	0	0	0	0	0.126667	150	4	98	37.5	0.709924	0	0	0	0	0.56	0.206667	0	0	0	1	0	true	0	0.333333	0	0.333333	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	1	0	1	0	0	0	6
d43379da5431148011408a14223ad758e5c872ea	58	py	Python	python/examples/triage/__init__.py	carsonharmon/binaryninja-api	f7ad332ad69d370aa29cd54f4c7307da4d9173e2	[ "MIT" ]	589	2016-04-11T11:32:33.000Z	2022-03-30T09:49:37.000Z	python/examples/triage/__init__.py	carsonharmon/binaryninja-api	f7ad332ad69d370aa29cd54f4c7307da4d9173e2	[ "MIT" ]	2,744	2016-04-11T02:47:37.000Z	2022-03-31T21:05:09.000Z	python/examples/triage/__init__.py	carsonharmon/binaryninja-api	f7ad332ad69d370aa29cd54f4c7307da4d9173e2	[ "MIT" ]	178	2016-04-15T00:47:05.000Z	2022-03-24T10:42:54.000Z	from . import view from . import byte from . import files	14.5	19	0.741379	9	58	4.777778	0.555556	0.697674	0	0	0	0	0	0	0	0	0	0.206897	58	3	20	19.333333	0.934783	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	1	0	1	0	1	0	6
d456e6aef132f13fe638429065f6215d98a7813e	5,019	py	Python	faq-capture-actions/actions/publish_api_client.py	uphop/faq-bot	02f316cff3f570d6eb9a459c4e3d1957706a4e9a	[ "MIT" ]	null	null	null	faq-capture-actions/actions/publish_api_client.py	uphop/faq-bot	02f316cff3f570d6eb9a459c4e3d1957706a4e9a	[ "MIT" ]	1	2021-03-27T11:03:50.000Z	2021-03-27T11:03:50.000Z	faq-capture-actions/actions/publish_api_client.py	uphop/faq-bot	02f316cff3f570d6eb9a459c4e3d1957706a4e9a	[ "MIT" ]	1	2021-12-21T17:59:39.000Z	2021-12-21T17:59:39.000Z	import os import requests import json import logging logger = logging.getLogger(__name__) """ Wrapper for Publish API. """ class PublishApiClient: def __init__(self): # load configuration self.PUBLISH_API_BASE_URL = os.getenv('PUBLISH_API_BASE_URL', 'http://localhost:5000') def create_user(se...	31.36875	94	0.595537	579	5,019	4.977548	0.115717	0.072866	0.053435	0.064886	0.848369	0.841083	0.841083	0.828938	0.826162	0.824774	0.009075	0.319386	5,019	159	95	31.566038	0.834602	0.127316	0.663265	0	0	0.121872	0.102641	0	0	0	1	0.102041	false	0	0.040816	0	0.244898	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	6
2e837c4283636568a275d250f11ec037e9921bf6	203	py	Python	netmiko/alcatel/__init__.py	wisotzky/netmiko	161c7546313940ed448eef125bac03e0f621624d	[ "MIT" ]	null	null	null	netmiko/alcatel/__init__.py	wisotzky/netmiko	161c7546313940ed448eef125bac03e0f621624d	[ "MIT" ]	null	null	null	netmiko/alcatel/__init__.py	wisotzky/netmiko	161c7546313940ed448eef125bac03e0f621624d	[ "MIT" ]	null	null	null	from netmiko.alcatel.alcatel_sros_ssh import AlcatelSrosSSH, FileTransferSROS from netmiko.alcatel.alcatel_aos_ssh import AlcatelAosSSH __all__ = ["AlcatelSrosSSH", "AlcatelAosSSH", "FileTransferSROS"]	40.6	77	0.847291	21	203	7.809524	0.52381	0.134146	0.219512	0.304878	0	0	0	0	0	0	0	0.073892	203	4	78	50.75	0.87234	0	0	0	0	0.211823	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	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	6
2e898c36cd1f45617035f75ec2fae39a4e0f35e4	127	py	Python	To_Celsius.py	juliaviolet/Python_Bootcamp_Jos-_Padilla	0a061283edcb7b33d5a7e165e8811ee61d694515	[ "MIT" ]	null	null	null	To_Celsius.py	juliaviolet/Python_Bootcamp_Jos-_Padilla	0a061283edcb7b33d5a7e165e8811ee61d694515	[ "MIT" ]	null	null	null	To_Celsius.py	juliaviolet/Python_Bootcamp_Jos-_Padilla	0a061283edcb7b33d5a7e165e8811ee61d694515	[ "MIT" ]	null	null	null	def to_celsius(x): return (x-32)*(5/9) for x in range(0,101,10): print("{:>3} F \| {:>6.2F} C".format(x, to_celsius(x)))	21.166667	58	0.559055	27	127	2.555556	0.777778	0.26087	0.289855	0	0	0	0	0	0	0	0.122642	0.165354	127	5	59	25.4	0.528302	0	0	0	0	0.15748	0	0	0	0	1	0.25	false	0	0	0.25	0.5	0.25	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	1	0	0	0	1	0	0	6
cf85c885114166da186bce16e220a1aa8bc7104f	19	py	Python	mlir/python/mlir/dialects/linalg/opdsl/lang/__init__.py	mkinsner/llvm	589d48844edb12cd357b3024248b93d64b6760bf	[ "Apache-2.0" ]	2,338	2018-06-19T17:34:51.000Z	2022-03-31T11:00:37.000Z	mlir/python/mlir/dialects/linalg/opdsl/lang/__init__.py	mkinsner/llvm	589d48844edb12cd357b3024248b93d64b6760bf	[ "Apache-2.0" ]	3,740	2019-01-23T15:36:48.000Z	2022-03-31T22:01:13.000Z	mlir/python/mlir/dialects/linalg/opdsl/lang/__init__.py	mkinsner/llvm	589d48844edb12cd357b3024248b93d64b6760bf	[ "Apache-2.0" ]	500	2019-01-23T07:49:22.000Z	2022-03-30T02:59:37.000Z	from .dsl import *	9.5	18	0.684211	3	19	4.333333	1	0	0	0	0	0	0	0	0	0	0	0.210526	19	1	19	19	0.866667	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	1	0	1	0	1	0	6
d85f608afcc32156bcd20fea254d84584a5fa3a1	165	py	Python	LeetCode/973. k Closest Points to Origin.py	QinganZhao/LXXtCode	9debb10f9d33dcdb3def9d141a638b8172d25ff3	[ "MIT" ]	3	2019-01-08T02:53:44.000Z	2021-07-26T07:03:27.000Z	LeetCode/973. k Closest Points to Origin.py	QinganZhao/LXXtCode	9debb10f9d33dcdb3def9d141a638b8172d25ff3	[ "MIT" ]	null	null	null	LeetCode/973. k Closest Points to Origin.py	QinganZhao/LXXtCode	9debb10f9d33dcdb3def9d141a638b8172d25ff3	[ "MIT" ]	null	null	null	class Solution: def kClosest(self, points: List[List[int]], K: int) -> List[List[int]]: return sorted(points, key = lambda x: x[0] 2 + x[1] 2)[:K]	41.25	75	0.575758	27	165	3.518519	0.62963	0.168421	0.231579	0	0	0	0	0	0	0	0.030769	0.212121	165	3	76	55	0.7	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0.333333	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	1	0	0	0	1	1	0	6
d874f98347118ca2d792e016e4aeeede1969a5b9	26,500	py	Python	tools/generate_prediction_results.py	Steve-Mr/lanenet-lane-detection	1c539d29ca119cc92a837f5bb54a169c33a57860	[ "Apache-2.0" ]	null	null	null	tools/generate_prediction_results.py	Steve-Mr/lanenet-lane-detection	1c539d29ca119cc92a837f5bb54a169c33a57860	[ "Apache-2.0" ]	null	null	null	tools/generate_prediction_results.py	Steve-Mr/lanenet-lane-detection	1c539d29ca119cc92a837f5bb54a169c33a57860	[ "Apache-2.0" ]	null	null	null	import time import tensorflow as tf import argparse import glob import json import os import os.path as ops import shutil import matplotlib.pyplot as plt from random import sample import cv2 import tqdm import numpy as np from config import global_config from lanenet_model import lanenet from lanenet_model import la...	42.332268	199	0.613887	3,315	26,500	4.614781	0.080845	0.056478	0.032161	0.027455	0.825794	0.787292	0.7718	0.760818	0.745784	0.705321	0.027837	0.273396	26,500	626	200	42.332268	0.766658	0.052943	0.611111	0	0.004831	0.047833	0.009094	0	0	0.002415	1	0.021739	false	0.002415	0.038647	0	0.07971	0.021739	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	6
d88e6a1bbc68b4e5f11ed1ef7106d70511857164	4,205	py	Python	pirates/leveleditor/worldData/SwampTestIslandA.py	Willy5s/Pirates-Online-Rewritten	7434cf98d9b7c837d57c181e5dabd02ddf98acb7	[ "BSD-3-Clause" ]	81	2018-04-08T18:14:24.000Z	2022-01-11T07:22:15.000Z	pirates/leveleditor/worldData/SwampTestIslandA.py	Willy5s/Pirates-Online-Rewritten	7434cf98d9b7c837d57c181e5dabd02ddf98acb7	[ "BSD-3-Clause" ]	4	2018-09-13T20:41:22.000Z	2022-01-08T06:57:00.000Z	pirates/leveleditor/worldData/SwampTestIslandA.py	Willy5s/Pirates-Online-Rewritten	7434cf98d9b7c837d57c181e5dabd02ddf98acb7	[ "BSD-3-Clause" ]	26	2018-05-26T12:49:27.000Z	2021-09-11T09:11:59.000Z	from pandac.PandaModules import Point3, VBase3 objectStruct = {'Locator Links': [['1153868315.8sdnaik0', '1152910060.11sdnaik', 'Bi-directional'], ['1153868315.8sdnaik1', '1152910301.05sdnaik0', 'Bi-directional'], ['1153868634.75sdnaik0', '1152910060.11sdnaik0', 'Bi-directional'], ['1152910307.13sdnaik', '1153868634.75...	2,102.5	4,158	0.674673	573	4,205	4.914485	0.265271	0.023438	0.023438	0.03125	0.538707	0.497159	0.365412	0.324929	0.212358	0.178267	0.303053	0.049703	4,205	2	4,158	2,102.5	0.401652	0	0	0	0	0.585117	0.257014	0	0	0	1	0	false	0	0.5	0	0.5	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	1	1	1	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	6
d8b06cd3af12f76f61701dcb1e6dfe032c4bfdb7	26	py	Python	addons14/project_status/tests/__init__.py	odoochain/addons_oca	55d456d798aebe16e49b4a6070765f206a8885ca	[ "MIT" ]	1	2021-06-10T14:59:13.000Z	2021-06-10T14:59:13.000Z	addons14/project_status/tests/__init__.py	odoochain/addons_oca	55d456d798aebe16e49b4a6070765f206a8885ca	[ "MIT" ]	null	null	null	addons14/project_status/tests/__init__.py	odoochain/addons_oca	55d456d798aebe16e49b4a6070765f206a8885ca	[ "MIT" ]	1	2021-04-09T09:44:44.000Z	2021-04-09T09:44:44.000Z	from . import test_status	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	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	1	0	1	0	1	0	6
d8fbf1afb1e8f9bd9928d6733ab70fbecf6f7c96	188	py	Python	MyGPyOpt/objective_examples/__init__.py	Paul1298/GPyOpt	d26bd4fb57a0b83a5cdaa0e7e97aa3692eb31187	[ "BSD-3-Clause" ]	null	null	null	MyGPyOpt/objective_examples/__init__.py	Paul1298/GPyOpt	d26bd4fb57a0b83a5cdaa0e7e97aa3692eb31187	[ "BSD-3-Clause" ]	null	null	null	MyGPyOpt/objective_examples/__init__.py	Paul1298/GPyOpt	d26bd4fb57a0b83a5cdaa0e7e97aa3692eb31187	[ "BSD-3-Clause" ]	1	2021-03-22T17:21:15.000Z	2021-03-22T17:21:15.000Z	# Copyright (c) 2016, the MyGPyOpt Authors # Licensed under the BSD 3-clause license (see LICENSE.txt) from . import experiments1d from . import experiments2d from . import experimentsNd	26.857143	59	0.781915	25	188	5.88	0.76	0.204082	0	0	0	0	0	0	0	0	0.044025	0.154255	188	6	60	31.333333	0.880503	0.521277	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	1	0	1	0	1	0	6
2b0f05726e45a07978c500265d94a0409b9f0330	9,061	py	Python	test/LinkedList/test_linked_list_realization.py	shapovalovdev/AlgorythmsAndDataStructures	34d5f38c089e0ba902813607f08847fbdc7361ab	[ "Apache-2.0" ]	null	null	null	test/LinkedList/test_linked_list_realization.py	shapovalovdev/AlgorythmsAndDataStructures	34d5f38c089e0ba902813607f08847fbdc7361ab	[ "Apache-2.0" ]	null	null	null	test/LinkedList/test_linked_list_realization.py	shapovalovdev/AlgorythmsAndDataStructures	34d5f38c089e0ba902813607f08847fbdc7361ab	[ "Apache-2.0" ]	null	null	null	import unittest from src.LinkedList.linked_list_realization import Node, LinkedList class TestLinkedList(unittest.TestCase): def preparation_default(self): n1=Node(12) n2=Node(144) n3=Node(55) test_list=LinkedList() test_list.add_in_tail(n1) test_list.add_in...	36.983673	89	0.633926	1,377	9,061	3.899056	0.058824	0.207115	0.145465	0.171913	0.829205	0.788229	0.723598	0.692308	0.67033	0.64742	0.060211	0.255822	9,061	245	90	36.983673	0.736023	0	0.674208	0	0	0.104282	0	0	0	0.217195	1	0.081448	false	0.004525	0.00905	0	0.099548	0	0	0	0	null	1	0	1	1	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
2b4e0028a2e6d932f3fa792d44fd2bce5ac34537	31	py	Python	model/__init__.py	Sytronik/denoising-wavenet-pytorch	f29471d9d0752f3599452bab9737e1d7b6809906	[ "MIT" ]	27	2019-08-08T11:48:26.000Z	2022-01-04T13:37:17.000Z	model/__init__.py	Sytronik/denoising-wavenet-pytorch	f29471d9d0752f3599452bab9737e1d7b6809906	[ "MIT" ]	1	2020-07-15T11:29:31.000Z	2020-07-22T12:18:22.000Z	model/__init__.py	Sytronik/denoising-wavenet-pytorch	f29471d9d0752f3599452bab9737e1d7b6809906	[ "MIT" ]	2	2020-11-18T01:27:30.000Z	2020-12-02T12:48:39.000Z	from .dwavenet import DWaveNet	15.5	30	0.83871	4	31	6.5	0.75	0	0	0	0	0	0	0	0	0	0	0.129032	31	1	31	31	0.962963	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	1	0	1	0	1	0	6
2b58c40b1004b51208b8eb59e1a640932ff79745	169	py	Python	tests/test_running/test_running_no_input.py	Salimer/dcm2niixpy	5c5b528c3c2c73f4b38de85755f923086596d020	[ "MIT" ]	null	null	null	tests/test_running/test_running_no_input.py	Salimer/dcm2niixpy	5c5b528c3c2c73f4b38de85755f923086596d020	[ "MIT" ]	142	2021-04-12T08:20:20.000Z	2022-03-28T12:15:50.000Z	tests/test_running/test_running_no_input.py	Salimer/dcm2niixpy	5c5b528c3c2c73f4b38de85755f923086596d020	[ "MIT" ]	1	2022-03-09T14:51:45.000Z	2022-03-09T14:51:45.000Z	import dcm2niixpy.dcm2niix # def test_standard_run(): # dcm2niix = dcm2niixpy.dcm2niix.DCM2NIIX() # result = dcm2niix.convert("") # assert result is None	18.777778	47	0.692308	18	169	6.388889	0.666667	0.313043	0	0	0	0	0	0	0	0	0.051471	0.195266	169	8	48	21.125	0.794118	0.769231	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	1	0	1	0	1	0	6
992ec8e8f1b65a6dda0c518af90b6f77d9699816	20	py	Python	botdash/lib/__init__.py	Jetnox/botdash-py	56c3782f7ba305503aac453fea7c279fed9b9408	[ "MIT" ]	1	2022-03-09T13:28:19.000Z	2022-03-09T13:28:19.000Z	botdash/lib/__init__.py	Jetnox/botdash-py	56c3782f7ba305503aac453fea7c279fed9b9408	[ "MIT" ]	null	null	null	botdash/lib/__init__.py	Jetnox/botdash-py	56c3782f7ba305503aac453fea7c279fed9b9408	[ "MIT" ]	null	null	null	from .value import *	20	20	0.75	3	20	5	1	0	0	0	0	0	0	0	0	0	0	0.15	20	1	20	20	0.882353	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	1	0	1	0	1	0	6
994080a5fbe7aea8212a649c03df838a96d0e90c	61	py	Python	discord/slash/__init__.py	AnimateShadows/discord.py	b29c16dda12c1940ce3e2f47f3a3397d45181fc5	[ "MIT" ]	null	null	null	discord/slash/__init__.py	AnimateShadows/discord.py	b29c16dda12c1940ce3e2f47f3a3397d45181fc5	[ "MIT" ]	null	null	null	discord/slash/__init__.py	AnimateShadows/discord.py	b29c16dda12c1940ce3e2f47f3a3397d45181fc5	[ "MIT" ]	null	null	null	from .bot import * from .cog import * from .command import *	15.25	22	0.704918	9	61	4.777778	0.555556	0.465116	0	0	0	0	0	0	0	0	0	0.196721	61	3	23	20.333333	0.877551	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	1	0	1	0	1	0	6
9972201f64e4effc7fb640f84f0793d97ad78d1e	184	py	Python	env/Lib/site-packages/comtypes/gen/UIAutomationClient.py	dondemonz/RestApi	0459d2b8079b9f2abc50bf5e206625427c4a2dcf	[ "Apache-2.0" ]	15	2018-05-16T02:39:01.000Z	2021-05-22T13:12:55.000Z	env/Lib/site-packages/comtypes/gen/UIAutomationClient.py	dondemonz/RestApi	0459d2b8079b9f2abc50bf5e206625427c4a2dcf	[ "Apache-2.0" ]	null	null	null	env/Lib/site-packages/comtypes/gen/UIAutomationClient.py	dondemonz/RestApi	0459d2b8079b9f2abc50bf5e206625427c4a2dcf	[ "Apache-2.0" ]	9	2018-05-16T00:47:34.000Z	2021-11-26T05:39:48.000Z	from comtypes.gen import _944DE083_8FB8_45CF_BCB7_C477ACB2F897_0_1_0 globals().update(_944DE083_8FB8_45CF_BCB7_C477ACB2F897_0_1_0.__dict__) __name__ = 'comtypes.gen.UIAutomationClient'	61.333333	70	0.896739	27	184	5.222222	0.592593	0.156028	0.22695	0.283688	0.496454	0.496454	0.496454	0.496454	0	0	0.237288	0.038043	184	3	71	61.333333	0.559322	0	0	0	0	0.167568	0.167568	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	0	1	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	6
41d72d22ef9e05bb6e822008990458b2d132a43e	31	py	Python	barista/__init__.py	kjchavez/distributed-deep-q	f3660f30dbc4756433cab4a97e0ffba8e6e5c418	[ "MIT" ]	35	2015-06-03T23:53:58.000Z	2021-10-07T09:56:09.000Z	barista/__init__.py	kjchavez/distributed-deep-q	f3660f30dbc4756433cab4a97e0ffba8e6e5c418	[ "MIT" ]	null	null	null	barista/__init__.py	kjchavez/distributed-deep-q	f3660f30dbc4756433cab4a97e0ffba8e6e5c418	[ "MIT" ]	13	2015-06-14T16:22:59.000Z	2021-09-29T01:22:27.000Z	from barista.constants import *	31	31	0.83871	4	31	6.5	1	0	0	0	0	0	0	0	0	0	0	0.096774	31	1	31	31	0.928571	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	1	0	1	0	1	0	6
5118e55f0640492f30e8fe966188728eebfd5ef1	48	py	Python	pykuna/__init__.py	marthoc/pykuna	f5bf02f26e1931b35becde6e1da58fb8bb0cc2d8	[ "MIT" ]	4	2018-12-16T18:05:14.000Z	2019-12-31T17:12:48.000Z	pykuna/__init__.py	marthoc/pykuna	f5bf02f26e1931b35becde6e1da58fb8bb0cc2d8	[ "MIT" ]	2	2019-05-08T17:22:25.000Z	2020-03-10T20:52:42.000Z	pykuna/__init__.py	marthoc/pykuna	f5bf02f26e1931b35becde6e1da58fb8bb0cc2d8	[ "MIT" ]	null	null	null	from .kuna import KunaAPI from .errors import *	16	25	0.770833	7	48	5.285714	0.714286	0	0	0	0	0	0	0	0	0	0	0.166667	48	2	26	24	0.925	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	1	0	1	0	1	0	6
5162e60921bfa3262cb662c4c539ecc3cdffc2de	1,720	py	Python	project/experiments/exp_800_mile_stone/src/old/27.5.2.0.generate_confirm_sig_exp.py	liusida/thesis-bodies	dceb8a36efd2cefc611f6749a52b56b9d3572f7a	[ "MIT" ]	null	null	null	project/experiments/exp_800_mile_stone/src/old/27.5.2.0.generate_confirm_sig_exp.py	liusida/thesis-bodies	dceb8a36efd2cefc611f6749a52b56b9d3572f7a	[ "MIT" ]	null	null	null	project/experiments/exp_800_mile_stone/src/old/27.5.2.0.generate_confirm_sig_exp.py	liusida/thesis-bodies	dceb8a36efd2cefc611f6749a52b56b9d3572f7a	[ "MIT" ]	null	null	null	# on average a = {'best_in_m2': '4eff43cf706a9cacdde5a2c8b68ff941', 'worst_in_m2': '09cdb93e456f8edca8dd291072cc288b', 'best_in_m4': '36494bcd6bc1c3838b1806fdfe235a38', 'worst_in_m4': '228112ca12795b83ce053ef1193cb365', 'best_in_m8': 'c045fc79f992aabf097abc7dd31762b3', 'worst_in_m8': '56acd7d42...	47.777778	56	0.765698	131	1,720	9.59542	0.259542	0.071599	0.019093	0.095465	0.731901	0.731901	0.731901	0.589499	0.589499	0.589499	0.418991	0.124419	1,720	35	57	49.142857	0.415671	0.019767	0.6	0	0	0.765161	0.570749	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	1	0	0	0	1	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	6

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