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hexsha string	size int64	ext string	lang string	max_stars_repo_path string	max_stars_repo_name string	max_stars_repo_head_hexsha string	max_stars_repo_licenses list	max_stars_count int64	max_stars_repo_stars_event_min_datetime string	max_stars_repo_stars_event_max_datetime string	max_issues_repo_path string	max_issues_repo_name string	max_issues_repo_head_hexsha string	max_issues_repo_licenses list	max_issues_count int64	max_issues_repo_issues_event_min_datetime string	max_issues_repo_issues_event_max_datetime string	max_forks_repo_path string	max_forks_repo_name string	max_forks_repo_head_hexsha string	max_forks_repo_licenses list	max_forks_count int64	max_forks_repo_forks_event_min_datetime string	max_forks_repo_forks_event_max_datetime string	content string	avg_line_length float64	max_line_length int64	alphanum_fraction float64	qsc_code_num_words_quality_signal int64	qsc_code_num_chars_quality_signal float64	qsc_code_mean_word_length_quality_signal float64	qsc_code_frac_words_unique_quality_signal float64	qsc_code_frac_chars_top_2grams_quality_signal float64	qsc_code_frac_chars_top_3grams_quality_signal float64	qsc_code_frac_chars_top_4grams_quality_signal float64	qsc_code_frac_chars_dupe_5grams_quality_signal float64	qsc_code_frac_chars_dupe_6grams_quality_signal float64	qsc_code_frac_chars_dupe_7grams_quality_signal float64	qsc_code_frac_chars_dupe_8grams_quality_signal float64	qsc_code_frac_chars_dupe_9grams_quality_signal float64	qsc_code_frac_chars_dupe_10grams_quality_signal float64	qsc_code_frac_chars_digital_quality_signal float64	qsc_code_frac_chars_whitespace_quality_signal float64	qsc_code_size_file_byte_quality_signal float64	qsc_code_num_lines_quality_signal float64	qsc_code_num_chars_line_max_quality_signal float64	qsc_code_num_chars_line_mean_quality_signal float64	qsc_code_frac_chars_alphabet_quality_signal float64	qsc_code_frac_chars_comments_quality_signal float64	qsc_code_frac_lines_dupe_lines_quality_signal float64	qsc_code_cate_autogen_quality_signal float64	qsc_code_frac_lines_long_string_quality_signal float64	qsc_code_frac_chars_string_length_quality_signal float64	qsc_code_frac_chars_long_word_length_quality_signal float64	qsc_code_frac_lines_prompt_comments_quality_signal float64	qsc_code_frac_lines_assert_quality_signal float64	qsc_codepython_cate_ast_quality_signal float64	qsc_codepython_frac_lines_func_ratio_quality_signal float64	qsc_codepython_cate_var_zero_quality_signal bool	qsc_codepython_frac_lines_pass_quality_signal float64	qsc_codepython_frac_lines_import_quality_signal float64	qsc_codepython_frac_lines_simplefunc_quality_signal float64	qsc_codepython_score_lines_no_logic_quality_signal float64	qsc_codepython_frac_lines_print_quality_signal float64	qsc_code_num_words int64	qsc_code_num_chars int64	qsc_code_mean_word_length int64	qsc_code_frac_words_unique null	qsc_code_frac_chars_top_2grams int64	qsc_code_frac_chars_top_3grams int64	qsc_code_frac_chars_top_4grams int64	qsc_code_frac_chars_dupe_6grams int64	qsc_code_frac_chars_dupe_7grams int64	qsc_code_frac_chars_dupe_8grams int64	qsc_code_frac_chars_dupe_10grams int64	qsc_code_frac_chars_digital int64	qsc_code_num_lines int64	qsc_code_frac_chars_alphabet int64	qsc_code_cate_autogen int64	qsc_code_frac_lines_long_string int64	qsc_code_frac_chars_string_length int64	qsc_code_frac_chars_long_word_length int64	qsc_code_frac_lines_string_concat null	qsc_codepython_cate_ast int64	qsc_codepython_frac_lines_func_ratio int64	qsc_codepython_cate_var_zero int64	qsc_codepython_frac_lines_pass int64	qsc_codepython_frac_lines_import int64	qsc_codepython_frac_lines_simplefunc int64	qsc_codepython_score_lines_no_logic int64	hits int64
d9c7f3fdaa6dbe4abf7e68c6052896f817807b98	190	py	Python	core/serializers.py	telminov/sonm-cdn-cms	e51107e3baed9e633e54db6cd7f784178f531b4a	[ "MIT" ]	1	2018-08-31T17:40:14.000Z	2018-08-31T17:40:14.000Z	core/serializers.py	telminov/sonm-cdn-cms	e51107e3baed9e633e54db6cd7f784178f531b4a	[ "MIT" ]	null	null	null	core/serializers.py	telminov/sonm-cdn-cms	e51107e3baed9e633e54db6cd7f784178f531b4a	[ "MIT" ]	null	null	null	from rest_framework import serializers from core import models class AssetSerializer(serializers.ModelSerializer): class Meta: model = models.Asset fields = '__all__'	19	51	0.731579	20	190	6.7	0.75	0	0	0	0	0	0	0	0	0	0	0.215789	190	9	52	21.111111	0.899329	0	0	0	0	0.036842	0	0	0	1	0	false	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	1	4
d9c7f680a10afbb210d6a7c50f3b0ac7716821e0	190	py	Python	tests/wasp1/AllAnswerSets/aggregates_count_boundvariables_1.test.py	bernardocuteri/wasp	05c8f961776dbdbf7afbf905ee00fc262eba51ad	[ "Apache-2.0" ]	19	2015-12-03T08:53:45.000Z	2022-03-31T02:09:43.000Z	tests/wasp1/AllAnswerSets/aggregates_count_boundvariables_1.test.py	bernardocuteri/wasp	05c8f961776dbdbf7afbf905ee00fc262eba51ad	[ "Apache-2.0" ]	80	2017-11-25T07:57:32.000Z	2018-06-10T19:03:30.000Z	tests/wasp1/AllAnswerSets/aggregates_count_boundvariables_1.test.py	bernardocuteri/wasp	05c8f961776dbdbf7afbf905ee00fc262eba51ad	[ "Apache-2.0" ]	6	2015-01-15T07:51:48.000Z	2020-06-18T14:47:48.000Z	input = """ c(2). p(1). a(2). d(2,2,1). okay(X):- c(X), #count{V:a(V),d(V,X,1)} = 1. ouch(X):- p(X), #count{V:a(V),d(V,X,1)} = 1. """ output = """ {a(2), c(2), d(2,2,1), okay(2), p(1)} """	14.615385	44	0.4	50	190	1.52	0.26	0.052632	0.078947	0.105263	0.605263	0.605263	0.368421	0.368421	0.368421	0.368421	0.104938	0.147368	190	12	45	15.833333	0.364198	0	0.181818	0	0.272727	0.831579	0.242105	0	0	1	0	false	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	1	0	1	1	0	null	0	0	0	0	0	0	0	4
d9d5b48647e38ebb7586e30d71d263a91ce8bc1b	156	py	Python	src/zeep/wsse/__init__.py	bertonha/python-zeep	748f4e028db2ef498bc6dd1e60d3555b7688f08c	[ "MIT" ]	null	null	null	src/zeep/wsse/__init__.py	bertonha/python-zeep	748f4e028db2ef498bc6dd1e60d3555b7688f08c	[ "MIT" ]	null	null	null	src/zeep/wsse/__init__.py	bertonha/python-zeep	748f4e028db2ef498bc6dd1e60d3555b7688f08c	[ "MIT" ]	null	null	null	from .compose import Compose # noqa from .signature import BinarySignature, Signature, MemorySignature # noqa from .username import UsernameToken # noqa	39	74	0.801282	17	156	7.352941	0.529412	0.128	0	0	0	0	0	0	0	0	0	0.147436	156	3	75	52	0.93985	0.089744	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	0	1	0	0	4
8a03ced3330b9102f19e53ae0f85a628054986d1	36	py	Python	tools/__init__.py	BranKein/Flask-template	3d8f43b3c44163e855c727de2a0dfe37d3b788f9	[ "MIT" ]	null	null	null	tools/__init__.py	BranKein/Flask-template	3d8f43b3c44163e855c727de2a0dfe37d3b788f9	[ "MIT" ]	null	null	null	tools/__init__.py	BranKein/Flask-template	3d8f43b3c44163e855c727de2a0dfe37d3b788f9	[ "MIT" ]	null	null	null	from . import ip __all__ = ['ip']	7.2	16	0.583333	5	36	3.4	0.8	0	0	0	0	0	0	0	0	0	0	0.25	36	4	17	9	0.62963	0	0	0	0	0.055556	0	0	0	1	0	false	0	0.5	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	0	4
8a06be2dde291c66efbc5f80746f557a0f2cecaa	336	py	Python	experiments/seidel-2d/tmp_files/6745.py	LoopTilingBenchmark/benchmark	52a3d2e70216552a498fd91de02a2fa9cb62122c	[ "BSD-2-Clause" ]	null	null	null	experiments/seidel-2d/tmp_files/6745.py	LoopTilingBenchmark/benchmark	52a3d2e70216552a498fd91de02a2fa9cb62122c	[ "BSD-2-Clause" ]	null	null	null	experiments/seidel-2d/tmp_files/6745.py	LoopTilingBenchmark/benchmark	52a3d2e70216552a498fd91de02a2fa9cb62122c	[ "BSD-2-Clause" ]	null	null	null	from chill import * source('/uufs/chpc.utah.edu/common/home/u1142914/lib/ytopt_vinu/polybench/polybench-code/stencils/seidel-2d/kernel.c') destination('/uufs/chpc.utah.edu/common/home/u1142914/lib/ytopt_vinu/experiments/seidel-2d/tmp_files/6745.c') procedure('kernel_seidel_2d') loop(0) known(' n > 2 ') tile(0,2,16,2) tile(0,4,16,4)	30.545455	118	0.764881	59	336	4.271186	0.59322	0.095238	0.095238	0.119048	0.357143	0.357143	0.357143	0.357143	0.357143	0.357143	0.103448	0.050595	336	10	119	33.6	0.68652	0	0	0	0.25	0.669643	0.60119	0	0	1	0	true	0	0.125	0	0.125	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	1	1	null	0	0	1	0	0	0	0	4
8a2036147565ecfe3e374843c7669120715a456c	93	py	Python	run.py	pran01/AlgoVision	40e85f3c55266f43ee103dfa0852a63af306a8d4	[ "MIT" ]	33	2020-10-05T01:04:55.000Z	2021-06-24T01:52:31.000Z	run.py	learning-zones/AlgoVision	9261e00ecb2540d8bb950d47d670bb6b2c69db0f	[ "MIT" ]	14	2020-10-07T03:15:12.000Z	2021-01-15T11:53:29.000Z	run.py	learning-zones/AlgoVision	9261e00ecb2540d8bb950d47d670bb6b2c69db0f	[ "MIT" ]	9	2020-10-05T07:16:45.000Z	2021-03-01T15:44:31.000Z	from algovision import app if(__name__=="__main__"): app.run(debug=True,host='0.0.0.0')	18.6	38	0.688172	16	93	3.5	0.75	0.107143	0.107143	0	0	0	0	0	0	0	0.04878	0.11828	93	4	39	23.25	0.634146	0	0	0	0	0.16129	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	0	1	0	0	4
8a5de963629a6bc23b3e927dcbf31f83ecc1590d	171	py	Python	indexof.py	gnuchev/homework	4083d44561cc9738d3cd8da99f8ef91b69961b6c	[ "MIT" ]	null	null	null	indexof.py	gnuchev/homework	4083d44561cc9738d3cd8da99f8ef91b69961b6c	[ "MIT" ]	null	null	null	indexof.py	gnuchev/homework	4083d44561cc9738d3cd8da99f8ef91b69961b6c	[ "MIT" ]	null	null	null	def indexof(listofnames, value): if value in listofnames: value_index = listofnames.index(value) return(listofnames, value_index) else: return(-1)	28.5	46	0.684211	20	171	5.75	0.5	0.417391	0.365217	0	0	0	0	0	0	0	0.007519	0.222222	171	5	47	34.2	0.857143	0	0	0	0	0	0	0	0	1	0.2	false	0	0	0	0.2	0	1	0	0	null	1	1	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	4
8a5eacf969c02364f5e4daefab7f03dd79ff6a0f	447	py	Python	programs/combine/jry2/treedef.py	lsrcz/SyGuS	5aab1b2c324d8a3c20e51f8acb2866190a1431d3	[ "MIT" ]	1	2021-07-11T08:32:32.000Z	2021-07-11T08:32:32.000Z	programs/combine/jry2/treedef.py	lsrcz/SyGuS	5aab1b2c324d8a3c20e51f8acb2866190a1431d3	[ "MIT" ]	null	null	null	programs/combine/jry2/treedef.py	lsrcz/SyGuS	5aab1b2c324d8a3c20e51f8acb2866190a1431d3	[ "MIT" ]	1	2020-12-20T16:08:10.000Z	2020-12-20T16:08:10.000Z	from jry2.semantics import Expr class TreeNode: pass class TreeLeaf(TreeNode): def __init__(self, term): self.term = term def getExpr(self): return self.term class TreeInnerNode(TreeNode): def __init__(self, pred, left, right): self.pred = pred self.left = left self.right = right def getExpr(self): return Expr('ite', self.pred, self.left.getExpr(), self.right.getExpr())	20.318182	80	0.630872	56	447	4.892857	0.357143	0.087591	0.109489	0.138686	0	0	0	0	0	0	0.003021	0.259508	447	21	81	21.285714	0.824773	0	0.133333	0	0	0.006711	0	0	0	1	0.266667	false	0.066667	0.066667	0.133333	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	1	0	1	1	4
8a6266df7a1375925ee79de0d3567238f763ecfa	165	py	Python	xlib/api/win32/oleaut32/oleaut32.py	jkennedyvz/DeepFaceLive	274c20808da089eb7fc0fc0e8abe649379a29ffe	[ "MIT" ]	null	null	null	xlib/api/win32/oleaut32/oleaut32.py	jkennedyvz/DeepFaceLive	274c20808da089eb7fc0fc0e8abe649379a29ffe	[ "MIT" ]	null	null	null	xlib/api/win32/oleaut32/oleaut32.py	jkennedyvz/DeepFaceLive	274c20808da089eb7fc0fc0e8abe649379a29ffe	[ "MIT" ]	null	null	null	from ctypes import POINTER, Structure from ..wintypes import VARIANT, dll_import @dll_import('OleAut32') def VariantInit( pvarg : POINTER(VARIANT) ) -> None: ...	20.625	56	0.739394	20	165	6	0.65	0.15	0	0	0	0	0	0	0	0	0.014085	0.139394	165	7	57	23.571429	0.830986	0	0	0	0	0.048485	0	0	0	1	0.25	false	0	0.75	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	1	0	0	1	0	0	4
8a7310d8abb463c70846c800ef296e8c1423ac2b	186	py	Python	src/events/cell_pressed.py	ArcosJuan/Get-out-of-my-fucking-maze	ca2cfeaaeecb6c6f583ad647d020f25176170805	[ "MIT" ]	2	2021-09-09T14:03:40.000Z	2021-11-03T03:35:55.000Z	src/events/cell_pressed.py	ArcosJuan/Get-out-of-my-fucking-maze	ca2cfeaaeecb6c6f583ad647d020f25176170805	[ "MIT" ]	null	null	null	src/events/cell_pressed.py	ArcosJuan/Get-out-of-my-fucking-maze	ca2cfeaaeecb6c6f583ad647d020f25176170805	[ "MIT" ]	null	null	null	from src.events import Event class CellPressed(Event): def __init__(self, position): self.position = position def get_position(self): return self.position	18.6	33	0.672043	22	186	5.454545	0.590909	0.3	0	0	0	0	0	0	0	0	0	0.252688	186	10	34	18.6	0.863309	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.166667	0.166667	0.833333	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	1	0	4
8ac046daf66291ca73b420ce81a183abc787e157	51	py	Python	neptune/generated/swagger_client/path_constants.py	jiji-online/neptune-cli	50cf680a80d141497f9331ab7cdaee49fcb90b0c	[ "Apache-2.0" ]	null	null	null	neptune/generated/swagger_client/path_constants.py	jiji-online/neptune-cli	50cf680a80d141497f9331ab7cdaee49fcb90b0c	[ "Apache-2.0" ]	null	null	null	neptune/generated/swagger_client/path_constants.py	jiji-online/neptune-cli	50cf680a80d141497f9331ab7cdaee49fcb90b0c	[ "Apache-2.0" ]	null	null	null	REST_PATH = u"" WS_PATH = u"/api/notifications/v1"	17	34	0.705882	9	51	3.777778	0.777778	0.294118	0	0	0	0	0	0	0	0	0.022222	0.117647	51	2	35	25.5	0.733333	0	0	0	0	0.411765	0.411765	0	0	1	0	false	0	0	0	0	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	1	null	0	0	0	0	0	0	0	4
8ac2e2407dd1965a468039faf082dce81ec81f6c	109	py	Python	realfastapi/routes/endpoints/default.py	wborbajr/RealFastAPI	d97ca994c4c164387632cda814e80c026435a9f7	[ "MIT" ]	null	null	null	realfastapi/routes/endpoints/default.py	wborbajr/RealFastAPI	d97ca994c4c164387632cda814e80c026435a9f7	[ "MIT" ]	null	null	null	realfastapi/routes/endpoints/default.py	wborbajr/RealFastAPI	d97ca994c4c164387632cda814e80c026435a9f7	[ "MIT" ]	null	null	null	from fastapi import APIRouter router = APIRouter() @router.get("/") def working(): return {"Working"}	12.111111	29	0.669725	12	109	6.083333	0.75	0.410959	0	0	0	0	0	0	0	0	0	0.174312	109	8	30	13.625	0.811111	0	0	0	0	0.073395	0	0	0	1	0.2	false	0	0.2	0.2	0.6	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	1	0	4
8ac9b0e158167d7f3345bc07a8dd57de92905440	66	py	Python	scripts/get_file_name_as_variable.py	amin-henteti/airflow-dags	eb1e9a1a77d3c868e031cbe7420eae952ce5e767	[ "Apache-2.0" ]	null	null	null	scripts/get_file_name_as_variable.py	amin-henteti/airflow-dags	eb1e9a1a77d3c868e031cbe7420eae952ce5e767	[ "Apache-2.0" ]	null	null	null	scripts/get_file_name_as_variable.py	amin-henteti/airflow-dags	eb1e9a1a77d3c868e031cbe7420eae952ce5e767	[ "Apache-2.0" ]	null	null	null	import inspect def foo(): print(inspect.stack()[0][3]) foo()	13.2	31	0.621212	10	66	4.1	0.8	0	0	0	0	0	0	0	0	0	0.036364	0.166667	66	5	32	13.2	0.709091	0	0	0	0	0	0	0	0	1	0.25	true	0	0.25	0	0.5	0.25	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	1	1	0	0	0	0	4
76d842d33f2db656494e8fb701c74c89d920202e	182	py	Python	tests/test_command.py	vandana-11/cognito	4f92229511b265578def8e34d30575292070e584	[ "BSD-3-Clause" ]	null	null	null	tests/test_command.py	vandana-11/cognito	4f92229511b265578def8e34d30575292070e584	[ "BSD-3-Clause" ]	null	null	null	tests/test_command.py	vandana-11/cognito	4f92229511b265578def8e34d30575292070e584	[ "BSD-3-Clause" ]	null	null	null	from cognito.check import Check from cognito.table import Table import os import pytest import pandas as pd import numpy as np from os import path from sklearn import preprocessing	20.222222	33	0.82967	30	182	5.033333	0.5	0.145695	0	0	0	0	0	0	0	0	0	0.159341	182	8	34	22.75	0.986928	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	0	1	0	1	4
0a15bb92f32c4317216e7f1662783bb4852671eb	105	py	Python	school/admin/__init__.py	leyyin/university-SE	7cc3625bda787d2e79ab22f30d6f6e732ca9abb3	[ "MIT" ]	3	2015-03-12T15:50:58.000Z	2015-05-04T12:55:19.000Z	school/admin/__init__.py	leyyin/university-SE	7cc3625bda787d2e79ab22f30d6f6e732ca9abb3	[ "MIT" ]	2	2015-05-01T18:24:04.000Z	2015-05-15T15:58:47.000Z	school/admin/__init__.py	leyyin/university-SE	7cc3625bda787d2e79ab22f30d6f6e732ca9abb3	[ "MIT" ]	null	null	null	# contains any CRUD not related to strictly editing users info and courses info from .views import admin	35	79	0.809524	17	105	5	0.941176	0	0	0	0	0	0	0	0	0	0	0.171429	105	2	80	52.5	0.977011	0.733333	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	0	1	0	0	4
0a4c68a0832d4cee3f0250c6c84f885007935c0b	194	py	Python	5kyu/(5 kyu) Count IP Addresses/(5 kyu) Count IP Addresses.py	e1r0nd/codewars	9b05e32a26ee5f36a4b3f1e76a71e0c79b3c865b	[ "MIT" ]	49	2018-04-30T06:42:45.000Z	2021-07-22T16:39:02.000Z	5kyu/(5 kyu) Count IP Addresses/(5 kyu) Count IP Addresses.py	nis24jit/codewars-3	1a0d910af12f8af6e1070c31a30ba3c785a9b857	[ "MIT" ]	1	2020-08-31T02:36:53.000Z	2020-08-31T10:14:00.000Z	5kyu/(5 kyu) Count IP Addresses/(5 kyu) Count IP Addresses.py	nis24jit/codewars-3	1a0d910af12f8af6e1070c31a30ba3c785a9b857	[ "MIT" ]	25	2018-04-02T20:57:58.000Z	2021-05-28T15:24:51.000Z	def ips_between(start, end): calc = lambda n, m: (int(end.split(".")[n]) - int(start.split(".")[n])) * m return calc(0, 256 * 256 * 256) + calc(1, 256 * 256) + calc(2, 256) + calc(3, 1)	48.5	84	0.546392	34	194	3.088235	0.5	0.171429	0.190476	0	0	0	0	0	0	0	0.148387	0.201031	194	3	85	64.666667	0.529032	0	0	0	0	0.010309	0	0	0	1	0.333333	false	0	0	0	0.666667	0	0	0	0	null	0	1	0	0	0	0	0	0	1	0	0	0	0	0	null	0	1	0	0	0	0	1	4
0a4d54d89c32a47c57e2c8a928a39b69e030c881	35	py	Python	notebooks/_solutions/pandas_02_basic_operations28.py	rprops/Python_DS-WS	b2fc449a74be0c82863e5fcf1ddbe7d64976d530	[ "BSD-3-Clause" ]	65	2017-03-21T09:15:40.000Z	2022-02-01T23:43:08.000Z	notebooks/_solutions/pandas_02_basic_operations28.py	rprops/Python_DS-WS	b2fc449a74be0c82863e5fcf1ddbe7d64976d530	[ "BSD-3-Clause" ]	100	2016-12-15T03:44:06.000Z	2022-03-07T08:14:07.000Z	notebooks/_solutions/pandas_02_basic_operations28.py	rprops/Python_DS-WS	b2fc449a74be0c82863e5fcf1ddbe7d64976d530	[ "BSD-3-Clause" ]	52	2016-12-19T07:48:52.000Z	2022-02-19T17:53:48.000Z	df['Age'].hist() #bins=30, log=True	35	35	0.628571	7	35	3.142857	1	0	0	0	0	0	0	0	0	0	0.060606	0.057143	35	1	35	35	0.606061	0.485714	0	0	0	0.166667	0	0	0	1	0	true	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	0	0	0	0	4
0a616ab1db1fb980b42809561222fc9a899b77c4	153	py	Python	mikan/exceptions.py	dzzhvks94vd2/mikan	569b331cff02a089721fd6d0a430d5c2812b4934	[ "MIT" ]	1	2021-12-31T23:56:21.000Z	2021-12-31T23:56:21.000Z	mikan/exceptions.py	dzzhvks94vd2/mikan	569b331cff02a089721fd6d0a430d5c2812b4934	[ "MIT" ]	null	null	null	mikan/exceptions.py	dzzhvks94vd2/mikan	569b331cff02a089721fd6d0a430d5c2812b4934	[ "MIT" ]	null	null	null	class MikanException(Exception): """Generic Mikan exception""" class ConversionError(MikanException, ValueError): """Cannot convert a string"""	25.5	50	0.738562	14	153	8.071429	0.785714	0	0	0	0	0	0	0	0	0	0	0.137255	153	5	51	30.6	0.856061	0.30719	0	0	0	0	0	0	0	1	0	true	0	0	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	0	0	0	1	4
6a5b876bee110f96f947af456cbf93cb78d5e1bc	94	py	Python	nflfastpy/errors.py	hchaozhe/nflfastpy	11e4894d7fee4ff8baac2c08b000a39308b41143	[ "MIT" ]	47	2020-10-24T10:10:51.000Z	2022-03-07T19:48:05.000Z	nflfastpy/errors.py	jbf302/nflfastpy	c1e2365966e0f0f8efeb651be804d84caba57807	[ "MIT" ]	3	2021-05-03T11:58:00.000Z	2021-11-14T16:17:30.000Z	nflfastpy/errors.py	jbf302/nflfastpy	c1e2365966e0f0f8efeb651be804d84caba57807	[ "MIT" ]	7	2020-12-14T15:03:12.000Z	2021-11-17T23:41:37.000Z	""" Custom exceptions for nflfastpy module """ class SeasonNotFoundError(Exception): pass	15.666667	38	0.755319	9	94	7.888889	1	0	0	0	0	0	0	0	0	0	0	0.148936	94	6	39	15.666667	0.8875	0.404255	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	1	0	0	0	4
6a7bee943837f03f68168bdd6b1277bb1e2654a4	268	py	Python	db.py	RunnerPro/RunnerProApi	2e0aba17cba2a019b6d102bc4eac2fd60f164156	[ "MIT" ]	null	null	null	db.py	RunnerPro/RunnerProApi	2e0aba17cba2a019b6d102bc4eac2fd60f164156	[ "MIT" ]	null	null	null	db.py	RunnerPro/RunnerProApi	2e0aba17cba2a019b6d102bc4eac2fd60f164156	[ "MIT" ]	null	null	null	from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session from sqlalchemy.orm import sessionmaker from settings import DB_URI Session = sessionmaker(autocommit=False, autoflush=False, bind=create_engine(DB_URI)) session = scoped_session(Session)	33.5	85	0.850746	36	268	6.166667	0.444444	0.189189	0.153153	0.207207	0	0	0	0	0	0	0	0.093284	268	7	86	38.285714	0.91358	0	0	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	0	0	0	null	0	0	1	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	1	4
6a8e0d766c7cdfdc409946fd3a6196d6981baf1d	55	py	Python	python/testData/resolve/TryExceptElse.py	jnthn/intellij-community	8fa7c8a3ace62400c838e0d5926a7be106aa8557	[ "Apache-2.0" ]	2	2019-04-28T07:48:50.000Z	2020-12-11T14:18:08.000Z	python/testData/resolve/TryExceptElse.py	Cyril-lamirand/intellij-community	60ab6c61b82fc761dd68363eca7d9d69663cfa39	[ "Apache-2.0" ]	173	2018-07-05T13:59:39.000Z	2018-08-09T01:12:03.000Z	python/testData/resolve/TryExceptElse.py	Cyril-lamirand/intellij-community	60ab6c61b82fc761dd68363eca7d9d69663cfa39	[ "Apache-2.0" ]	2	2020-03-15T08:57:37.000Z	2020-04-07T04:48:14.000Z	try: name = "" except: pass else: print na<ref>me	9.166667	17	0.6	9	55	3.666667	1	0	0	0	0	0	0	0	0	0	0	0.254545	55	6	17	9.166667	0.804878	0	0	0	0	0	0	0	0	0	null	null	0.166667	0	null	null	0.166667	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	1	0	0	1	0	0	0	4
6a92b244776a352d3c8cb2387f8e203d0ce669c3	22	py	Python	avatar/__init__.py	yogeshkheri/geonode-avatar	293474f814117ae680278223c8cdf8d59c67862d	[ "BSD-3-Clause" ]	3	2021-10-17T20:37:40.000Z	2022-03-17T10:29:14.000Z	avatar/__init__.py	yogeshkheri/geonode-avatar	293474f814117ae680278223c8cdf8d59c67862d	[ "BSD-3-Clause" ]	4	2021-09-02T13:26:11.000Z	2022-03-16T12:26:36.000Z	avatar/__init__.py	yogeshkheri/geonode-avatar	293474f814117ae680278223c8cdf8d59c67862d	[ "BSD-3-Clause" ]	null	null	null	__version__ = '5.0.2'	11	21	0.636364	4	22	2.5	1	0	0	0	0	0	0	0	0	0	0.157895	0.136364	22	1	22	22	0.368421	0	0	0	0	0.227273	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	1	0	0	0	0	null	0	0	0	0	0	0	0	4
6aa2b3de5b891e225cac65fc5b3ebe31165e5ef6	63	py	Python	svd/core/exc.py	epicosy/svd	baa91f57ee5bd51b0140d9d0b1b97ce39f18acc4	[ "MIT" ]	null	null	null	svd/core/exc.py	epicosy/svd	baa91f57ee5bd51b0140d9d0b1b97ce39f18acc4	[ "MIT" ]	null	null	null	svd/core/exc.py	epicosy/svd	baa91f57ee5bd51b0140d9d0b1b97ce39f18acc4	[ "MIT" ]	null	null	null	class SVDError(Exception): """Generic errors.""" pass	12.6	26	0.619048	6	63	6.5	1	0	0	0	0	0	0	0	0	0	0	0.222222	63	4	27	15.75	0.795918	0.238095	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	1	0	0	0	4
6aa4b1f3d6675f767aaa7329c04a4c62bcde0e63	232	py	Python	v1/status_updates/urls.py	DucPhamTV/Bank	4905ec7d63ef4daafe2119bf6b32928d4db2d4f2	[ "MIT" ]	94	2020-07-12T23:08:47.000Z	2022-03-05T14:00:01.000Z	v1/status_updates/urls.py	DucPhamTV/Bank	4905ec7d63ef4daafe2119bf6b32928d4db2d4f2	[ "MIT" ]	84	2020-07-13T23:30:50.000Z	2022-03-15T15:47:46.000Z	v1/status_updates/urls.py	DucPhamTV/Bank	4905ec7d63ef4daafe2119bf6b32928d4db2d4f2	[ "MIT" ]	63	2020-07-13T02:46:51.000Z	2021-11-26T09:29:29.000Z	from rest_framework.routers import SimpleRouter from .views.upgrade_notice import UpgradeNoticeViewSet router = SimpleRouter(trailing_slash=False) router.register('upgrade_notice', UpgradeNoticeViewSet, basename='upgrade_notice')	33.142857	82	0.857759	25	232	7.76	0.64	0.201031	0	0	0	0	0	0	0	0	0	0.068966	232	6	83	38.666667	0.898148	0	0	0	0	0.12069	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	0	4
6aae27568c85842fa9dbea1ace5c81d9190ab20e	12,603	py	Python	glance/tests/functional/test_api.py	arvindn05/glance	055d15a6ba5d132f649156eac0fc91f4cd2813e4	[ "Apache-2.0" ]	null	null	null	glance/tests/functional/test_api.py	arvindn05/glance	055d15a6ba5d132f649156eac0fc91f4cd2813e4	[ "Apache-2.0" ]	null	null	null	glance/tests/functional/test_api.py	arvindn05/glance	055d15a6ba5d132f649156eac0fc91f4cd2813e4	[ "Apache-2.0" ]	null	null	null	# Copyright 2012 OpenStack Foundation # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """Version-independent api tests""" import httplib2 from oslo_serialization import jsonutils from six.moves import http_client from glance.tests import functional # TODO(rosmaita): all the EXPERIMENTAL stuff in this file can be ripped out # when v2.6 becomes CURRENT in Queens def _generate_v1_versions(url): v1_versions = {'versions': [ { 'id': 'v1.1', 'status': 'DEPRECATED', 'links': [{'rel': 'self', 'href': url % '1'}], }, { 'id': 'v1.0', 'status': 'DEPRECATED', 'links': [{'rel': 'self', 'href': url % '1'}], }, ]} return v1_versions def _generate_v2_versions(url): version_list = [] version_list.extend([ { 'id': 'v2.6', 'status': 'CURRENT', 'links': [{'rel': 'self', 'href': url % '2'}], }, { 'id': 'v2.5', 'status': 'SUPPORTED', 'links': [{'rel': 'self', 'href': url % '2'}], }, { 'id': 'v2.4', 'status': 'SUPPORTED', 'links': [{'rel': 'self', 'href': url % '2'}], }, { 'id': 'v2.3', 'status': 'SUPPORTED', 'links': [{'rel': 'self', 'href': url % '2'}], }, { 'id': 'v2.2', 'status': 'SUPPORTED', 'links': [{'rel': 'self', 'href': url % '2'}], }, { 'id': 'v2.1', 'status': 'SUPPORTED', 'links': [{'rel': 'self', 'href': url % '2'}], }, { 'id': 'v2.0', 'status': 'SUPPORTED', 'links': [{'rel': 'self', 'href': url % '2'}], } ]) v2_versions = {'versions': version_list} return v2_versions def _generate_all_versions(url): v1 = _generate_v1_versions(url) v2 = _generate_v2_versions(url) all_versions = {'versions': v2['versions'] + v1['versions']} return all_versions class TestApiVersions(functional.FunctionalTest): def test_version_configurations(self): """Test that versioning is handled properly through all channels""" # v1 and v2 api enabled self.start_servers(self.__dict__.copy()) url = 'http://127.0.0.1:%d/v%%s/' % self.api_port versions = _generate_all_versions(url) # Verify version choices returned. path = 'http://%s:%d' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(versions, content) def test_v2_api_configuration(self): self.api_server.enable_v1_api = False self.api_server.enable_v2_api = True self.start_servers(self.__dict__.copy()) url = 'http://127.0.0.1:%d/v%%s/' % self.api_port versions = _generate_v2_versions(url) # Verify version choices returned. path = 'http://%s:%d' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(versions, content) def test_v1_api_configuration(self): self.api_server.enable_v1_api = True self.api_server.enable_v2_api = False self.start_servers(self.__dict__.copy()) url = 'http://127.0.0.1:%d/v%%s/' % self.api_port versions = _generate_v1_versions(url) # Verify version choices returned. path = 'http://%s:%d' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(versions, content) class TestApiPaths(functional.FunctionalTest): def setUp(self): super(TestApiPaths, self).setUp() self.start_servers(self.__dict__.copy()) url = 'http://127.0.0.1:%d/v%%s/' % self.api_port self.versions = _generate_all_versions(url) images = {'images': []} self.images_json = jsonutils.dumps(images) def test_get_root_path(self): """Assert GET / with `no Accept:` header. Verify version choices returned. Bug lp:803260 no Accept header causes a 500 in glance-api """ path = 'http://%s:%d' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_images_path(self): """Assert GET /images with `no Accept:` header. Verify version choices returned. """ path = 'http://%s:%d/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_v1_images_path(self): """GET /v1/images with `no Accept:` header. Verify empty images list returned. """ path = 'http://%s:%d/v1/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content = http.request(path, 'GET') self.assertEqual(http_client.OK, response.status) def test_get_root_path_with_unknown_header(self): """Assert GET / with Accept: unknown header Verify version choices returned. Verify message in API log about unknown accept header. """ path = 'http://%s:%d/' % ('127.0.0.1', self.api_port) http = httplib2.Http() headers = {'Accept': 'unknown'} response, content_json = http.request(path, 'GET', headers=headers) self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_root_path_with_openstack_header(self): """Assert GET / with an Accept: application/vnd.openstack.images-v1 Verify empty image list returned """ path = 'http://%s:%d/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() headers = {'Accept': 'application/vnd.openstack.images-v1'} response, content = http.request(path, 'GET', headers=headers) self.assertEqual(http_client.OK, response.status) self.assertEqual(self.images_json, content.decode()) def test_get_images_path_with_openstack_header(self): """Assert GET /images with a `Accept: application/vnd.openstack.compute-v1` header. Verify version choices returned. Verify message in API log about unknown accept header. """ path = 'http://%s:%d/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() headers = {'Accept': 'application/vnd.openstack.compute-v1'} response, content_json = http.request(path, 'GET', headers=headers) self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_v10_images_path(self): """Assert GET /v1.0/images with no Accept: header Verify version choices returned """ path = 'http://%s:%d/v1.a/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) def test_get_v1a_images_path(self): """Assert GET /v1.a/images with no Accept: header Verify version choices returned """ path = 'http://%s:%d/v1.a/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) def test_get_va1_images_path(self): """Assert GET /va.1/images with no Accept: header Verify version choices returned """ path = 'http://%s:%d/va.1/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_versions_path(self): """Assert GET /versions with no Accept: header Verify version choices returned """ path = 'http://%s:%d/versions' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.OK, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_versions_path_with_openstack_header(self): """Assert GET /versions with the `Accept: application/vnd.openstack.images-v1` header. Verify version choices returned. """ path = 'http://%s:%d/versions' % ('127.0.0.1', self.api_port) http = httplib2.Http() headers = {'Accept': 'application/vnd.openstack.images-v1'} response, content_json = http.request(path, 'GET', headers=headers) self.assertEqual(http_client.OK, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_v1_versions_path(self): """Assert GET /v1/versions with `no Accept:` header Verify 404 returned """ path = 'http://%s:%d/v1/versions' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content = http.request(path, 'GET') self.assertEqual(http_client.NOT_FOUND, response.status) def test_get_versions_choices(self): """Verify version choices returned""" path = 'http://%s:%d/v10' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_images_path_with_openstack_v2_header(self): """Assert GET /images with a `Accept: application/vnd.openstack.compute-v2` header. Verify version choices returned. Verify message in API log about unknown version in accept header. """ path = 'http://%s:%d/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() headers = {'Accept': 'application/vnd.openstack.images-v10'} response, content_json = http.request(path, 'GET', headers=headers) self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content) def test_get_v12_images_path(self): """Assert GET /v1.2/images with `no Accept:` header Verify version choices returned """ path = 'http://%s:%d/v1.2/images' % ('127.0.0.1', self.api_port) http = httplib2.Http() response, content_json = http.request(path, 'GET') self.assertEqual(http_client.MULTIPLE_CHOICES, response.status) content = jsonutils.loads(content_json.decode()) self.assertEqual(self.versions, content)	39.261682	78	0.614933	1,536	12,603	4.897786	0.120443	0.063804	0.014622	0.017546	0.793301	0.768045	0.721521	0.706367	0.677788	0.666091	0.027053	0.246211	12,603	320	79	39.384375	0.764842	0.190669	0.5625	0	0	0.124477	0.014488	0.003125	0.153846	1	0.105769	false	0	0.019231	0	0.149038	0	0	0	0	null	0	0	0	1	1	1	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	4
0a82a3ff8df3d7d05c880b80e09b0d2ae4679de0	16,834	py	Python	ruleex/hypinv/model.py	rohancode/ruleex_modified	ec974e7811fafc0c06d4d2c53b4e2898dd6b7305	[ "Apache-2.0" ]	18	2019-09-19T09:50:52.000Z	2022-03-20T13:59:20.000Z	ruleex/hypinv/model.py	rohancode/ruleex_modified	ec974e7811fafc0c06d4d2c53b4e2898dd6b7305	[ "Apache-2.0" ]	3	2020-10-31T05:15:32.000Z	2022-02-10T00:34:05.000Z	ruleex/hypinv/model.py	rohancode/ruleex_modified	ec974e7811fafc0c06d4d2c53b4e2898dd6b7305	[ "Apache-2.0" ]	7	2020-12-06T20:55:50.000Z	2021-12-11T18:14:51.000Z	from gtrain import Model import numpy as np import tensorflow as tf class NetForHypinv(Model): """ Implementaion of the crutial function for the HypINV algorithm. Warning: Do not use this class but implement its subclass, for example see FCNetForHypinv """ def __init__(self, weights): self.eval_session = None self.grad_session = None self.initial_x = None self.center = None self.weights = weights self.out_for_eval = None #(going to be filled in build_for_eval method) self.boundary_out_for_eval = None self.trained_x = None self.training_class_index = None self.x = None # tf variable for inversion (going to be filled in build method) self.x_for_eval = None self.out = None self.boundary_out = None # list of tf tensorf for each class of softmax class vs others output self.loss = None self.boundary_loss = None self.t = None #target self.boundary_t = None self.x1 = None # this attribute is used of purposes of modified loss function def __del__(self): # close arr sessions if self.eval_session: self.eval_session.close() if self.grad_session: self.grad_session.close() def set_initial_x(self, initial_x): # sets starting point for the search of the closest point self.initial_x = initial_x def set_center(self, center): # sets center point self.center = center / np.linalg.norm(center) def set_x1(self, x1): # sets x1 to which we want to found the cosest point x0 self.x1 = x1 def has_modified_loss(self): pass # if uses modified loss then it returns true def set_initial_x_in_session(self, x, session=None): # sets initial x in certain session if session is None: self.set_initial_x(x) else: pass # overide this method def eval(self, x): if len(x.shape) == 1: x = x.reshape((1,len(x))) if not self.eval_session: self.eval_session = tf.Session() with self.eval_session.as_default(): self.build_for_eval() self.eval_session.run(tf.global_variables_initializer()) return self.eval_session.run(self.out_for_eval, {self.x_for_eval: x}) def boundary_eval(self, x, class_index): # evaluates binary classificaitons class_index and other classes if not self.eval_session: self.eval_session = tf.Session() with self.eval_session.as_default(): self.build_for_eval() self.eval_session.run(tf.global_variables_initializer()) return self.eval_session.run(self.boundary_out_for_eval[class_index], {self.x_for_eval: x}) def get_boundary_gradient(self, x, class_index): # computes gradient of the boundary for specified class_index if not self.grad_session: self.grad_session = tf.Session() with self.grad_session.as_default(): self.build_for_eval() self.grad = list() for i in range(len(self.weights[0][-1][0])): self.grad.append(tf.gradients(self.boundary_out_for_eval[i], [self.x_for_eval])[0]) self.grad_x = self.x_for_eval return self.grad_session.run(self.grad[class_index], {self.grad_x: x}) def build_for_eval(self): # build model for evaluation pass #override this method (fill self.out_for_eval) def train_ended(self, session): self.trained_x = session.run(self.x) def build(self): # build model for training pass #override this method (fill self.x, self.out) def set_train_class(self, class_index): # sets class of the x1 self.training_class_index = class_index # overided methods from gtrain.Model def get_loss(self): if self.training_class_index is None: return self.loss else: return self.boundary_loss[self.training_class_index] def get_hits(self): return self.get_loss() def get_count(self): return self.get_loss() def get_train_summaries(self): return [] def get_dev_summaries(self): return [] def get_placeholders(self): if self.training_class_index is None: return [self.t] else: return [self.boundary_t] #________________________________________EXAMPLES_OF_NetForHypinv_CLASS_____________________________________________ class FCNetForHypinv(NetForHypinv): """ Implementation of multi layer perceptron to by used in HypINV rule extraction algorithm """ def __init__(self, weights, function=tf.sigmoid, use_modified_loss=False, mu = 0.01): """ :param weights: saved as [list of weights for layers][0 weight, 1 bias] :param function: tf function for propagation. For example tf.nn.sigmoid, tf.atan :param use_modified_loss: weather the modified loss should be used :param mu: factor of the penalty terms that specified the distance between x0 and x1 and the distance x1 from the boundary """ super(FCNetForHypinv, self).__init__(weights) self.function = function self.layer_sizes = [len(self.weights[0][0])] for bias in weights[1]: self.layer_sizes.append(len(bias)) self.num_classes = self.layer_sizes[-1] self.initial_x = np.zeros([1, self.layer_sizes[0]]) self.use_modified_loss = use_modified_loss self.mu = mu def build(self): with tf.name_scope("Input"): if self.center is not None: self.point_weights = tf.Variable(self.center.reshape((1, len(self.center))), dtype=tf.float64, trainable=False, name="Boundary_point") init_factor = self.center init_factor[init_factor!=0] = self.initial_x[init_factor!=0] / self.center[init_factor!=0] self.factor = tf.Variable(init_factor.reshape((1, len(self.center))), dtype=tf.float64, name="factor") else: self.point_weights = tf.Variable(self.initial_x.reshape((1, len(self.initial_x))), dtype=tf.float64, trainable=False, name="Boundary_point") self.factor = tf.Variable(np.ones((1, len(self.center))), dtype=tf.float64, name="factor") self.x = self.point_weights * self.factor with tf.name_scope("Target"): if self.use_modified_loss: x1_constant = tf.constant(self.x1.reshape((1, len(self.x1))), dtype=tf.float64) self.t = tf.placeholder(tf.float64, shape=[None, self.num_classes], name="Target_output") self.boundary_t = tf.placeholder(tf.float64, shape=[None, 2], name="Target_boundary_output") with tf.name_scope("FC_net"): flowing_x = self.x for i, _ in enumerate(self.weights[0]): with tf.name_scope("layer_{}".format(i)): W = tf.constant(self.weights[0][i], name="Weight_{}".format(i), dtype=tf.float64) b = tf.constant(self.weights[1][i], name="Bias_{}".format(i), dtype=tf.float64) flowing_x = self.function(tf.nn.xw_plus_b(flowing_x, W, b)) y = flowing_x self.out = tf.nn.softmax(y) with tf.name_scope("Binary_class_output"): self.boundary_out = list() for i in range(self.num_classes): mask = True+np.zeros(self.num_classes, dtype=np.bool) mask[i] = False x0 = self.out[:,i] x1 = tf.reduce_max(tf.boolean_mask(self.out, mask, axis=1), axis=1) s = x0+x1 out = tf.stack([x0/s, x1/s], axis=1) self.boundary_out.append(out) with tf.name_scope("Loss_functions"): self.loss = tf.reduce_mean( tf.nn.l2_loss(self.out-self.t), name="loss") with tf.name_scope("Binary_class_loss"): self.boundary_loss = list() if self.use_modified_loss: for i in range(self.num_classes): self.boundary_loss.append( tf.reduce_mean(tf.nn.l2_loss(self.boundary_out[i]-self.boundary_t)) + self.mu * tf.reduce_mean(tf.nn.l2_loss(self.x - x1_constant)) ) else: for i in range(self.num_classes): self.boundary_loss.append( tf.reduce_mean(tf.nn.l2_loss(self.boundary_out[i] - self.boundary_t)) ) def set_initial_x_in_session(self, x, session=None): if session is None: self.set_initial_x(x) else: if self.center is None: session.run([ self.point_weights.assign(x.reshape((1, len(x)))), self.factor.assign(np.ones((1, len(x)))) ]) else: init_factor = self.center init_factor[init_factor!=0] = x[init_factor!=0] / self.center[init_factor!=0] session.run(self.factor.assign(init_factor.reshape((1,len(init_factor))))) def build_for_eval(self): with tf.name_scope("eInput"): self.x_for_eval = tf.placeholder(tf.float32, shape=[None, len(self.weights[0][0])])#tf.Variable(tf.constant(self.initial_x), name="Boundary_point") with tf.name_scope("eFC_net"): flowing_x = self.x_for_eval for i, _ in enumerate(self.weights[0]): W = tf.constant(self.weights[0][i], name="eWeight_{}".format(i)) b = tf.constant(self.weights[1][i], name="eBias_{}".format(i)) flowing_x = self.function(tf.nn.xw_plus_b(flowing_x, W, b), name="elayer_{}".format(i)) y = flowing_x self.out_for_eval = tf.nn.softmax(y) with tf.name_scope("Binary_class_output"): self.boundary_out_for_eval = list() for i in range(self.num_classes): mask = True+np.zeros(self.num_classes, dtype=np.bool) mask[i] = False x0 = self.out_for_eval[:, i] x1 = tf.reduce_max(tf.boolean_mask(self.out_for_eval, mask, axis=1), axis=1) s = x0+x1 out = tf.stack([x0/s, x1/s], axis=1) self.boundary_out_for_eval.append(out) def has_modified_loss(self): return self.use_modified_loss def name(self): return "Hypinv_FC_net_{}".format("-".join([str(ls) for ls in self.layer_sizes])) class FCNetForHypinvBinary(FCNetForHypinv): """ Implementation of multi layer perceptron to by used in HypINV rule extraction algorithm The task is simplified to the binary classificaiton base_class_index against the other classes """ def __init__(self, weights, base_class_index, function=tf.sigmoid, use_modified_loss=False, mu = 0.01): """ :param weights: saved as [list of weights for layers][0 weight, 1 bias] :param base_class_index: an index of the class which is used as the base class :param function: tf function for propagation. For example tf.nn.sigmoid, tf.atan :param use_modified_loss: weather the modified loss should be used :param mu: factor of the penalty terms that specified the distance between x0 and x1 and the distance x1 from the boundary """ super(FCNetForHypinvBinary, self).__init__(weights) self.base_class_index = base_class_index self.function = function self.layer_sizes = [len(self.weights[0][0])] for bias in weights[1]: self.layer_sizes.append(len(bias)) self.num_classes = self.layer_sizes[-1] self.initial_x = np.zeros([1, self.layer_sizes[0]]) self.use_modified_loss = use_modified_loss self.mu = mu def build(self): with tf.name_scope("Input"): self.init_point = tf.Variable(self.initial_x.reshape((1, len(self.initial_x))), dtype=tf.float64, trainable=False, name="Boundary_point") self.factor = tf.Variable(np.ones((1, len(self.initial_x))), dtype=tf.float64, name="factor") self.x = self.init_point * self.factor with tf.name_scope("Target"): if self.use_modified_loss: x1_constant = tf.constant(self.x1.reshape((1, len(self.x1))), dtype=tf.float64) self.t = tf.placeholder(tf.float64, shape=[None, 2], name="Target_output") self.boundary_t = tf.placeholder(tf.float64, shape=[None, 2], name="Target_boundary_output") with tf.name_scope("FC_net"): flowing_x = self.x for i, _ in enumerate(self.weights[0]): with tf.name_scope("layer_{}".format(i)): W = tf.constant(self.weights[0][i], name="Weight_{}".format(i), dtype=tf.float64) b = tf.constant(self.weights[1][i], name="Bias_{}".format(i), dtype=tf.float64) flowing_x = self.function(tf.nn.xw_plus_b(flowing_x, W, b)) y = flowing_x full_out = tf.nn.softmax(y) with tf.name_scope("Binary_class_output"): self.boundary_out = list() mask = True+np.zeros(self.num_classes, dtype=np.bool) mask[self.base_class_index] = False x0 = full_out[:,self.base_class_index] x1 = tf.reduce_max(tf.boolean_mask(full_out, mask, axis=1), axis=1) s = x0+x1 self.out = tf.stack([x0/s, x1/s], axis=1) self.boundary_out.append(self.out) self.boundary_out.append(tf.stack([x1/s, x0/s], axis=1)) with tf.name_scope("Loss_functions"): self.loss = tf.reduce_mean( tf.nn.l2_loss(self.out-self.t), name="loss") with tf.name_scope("Binary_class_loss"): self.boundary_loss = list() if self.use_modified_loss: for i in range(2): self.boundary_loss.append( tf.reduce_mean(tf.nn.l2_loss(self.boundary_out[i]-self.boundary_t)) + self.mu * tf.reduce_mean(tf.nn.l2_loss(self.x - x1_constant)) ) else: for i in range(2): self.boundary_loss.append( tf.reduce_mean(tf.nn.l2_loss(self.boundary_out[i] - self.boundary_t)) ) def build_for_eval(self): with tf.name_scope("eInput"): self.x_for_eval = tf.placeholder(tf.float32, shape=[None, len(self.weights[0][0])])#tf.Variable(tf.constant(self.initial_x), name="Boundary_point") with tf.name_scope("eFC_net"): flowing_x = self.x_for_eval for i, _ in enumerate(self.weights[0]): W = tf.constant(self.weights[0][i], name="eWeight_{}".format(i)) b = tf.constant(self.weights[1][i], name="eBias_{}".format(i)) flowing_x = self.function(tf.nn.xw_plus_b(flowing_x, W, b), name="elayer_{}".format(i)) y = flowing_x full_out = tf.nn.softmax(y) with tf.name_scope("Binary_class_output"): self.boundary_out_for_eval = list() mask = True+np.zeros(self.num_classes, dtype=np.bool) mask[self.base_class_index] = False x0 = full_out[:, self.base_class_index] x1 = tf.reduce_max(tf.boolean_mask(full_out, mask, axis=1), axis=1) s = x0+x1 self.out_for_eval = tf.stack([x0/s, x1/s], axis=1) self.boundary_out_for_eval.append(self.out_for_eval) self.boundary_out_for_eval.append(tf.stack([x1/s, x0/s], axis=1)) def get_boundary_gradient(self, x, class_index): if not self.grad_session: self.grad_session = tf.Session() with self.grad_session.as_default(): self.build_for_eval() self.grad = list() for i in range(2): self.grad.append(tf.gradients(self.boundary_out_for_eval[i], [self.x_for_eval])[0]) self.grad_x = self.x_for_eval return self.grad_session.run(self.grad[class_index], {self.grad_x: x}) def has_modified_loss(self): return self.use_modified_loss def name(self): return "Hypinv_FC_net_{}".format("-".join([str(ls) for ls in self.layer_sizes]))	45.010695	159	0.594214	2,283	16,834	4.142357	0.096364	0.026647	0.021148	0.031723	0.769271	0.744528	0.716824	0.711113	0.69134	0.663424	0.014812	0.294167	16,834	373	160	45.131367	0.781097	0.13342	0.662116	0	0	0.032796	0.003057	0	0	1	0.109215	false	0.013652	0.010239	0.027304	0.1843	0	0	0	0	null	0	0	0	1	1	1	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	4
0a9876a51a89bf0aa93f351a61986d7fa1facb0f	211	py	Python	tests/asp/weakConstraints/testcase13.bug.weakconstraints.gringo.test.py	bernardocuteri/wasp	05c8f961776dbdbf7afbf905ee00fc262eba51ad	[ "Apache-2.0" ]	19	2015-12-03T08:53:45.000Z	2022-03-31T02:09:43.000Z	tests/asp/weakConstraints/testcase13.bug.weakconstraints.gringo.test.py	bernardocuteri/wasp	05c8f961776dbdbf7afbf905ee00fc262eba51ad	[ "Apache-2.0" ]	80	2017-11-25T07:57:32.000Z	2018-06-10T19:03:30.000Z	tests/asp/weakConstraints/testcase13.bug.weakconstraints.gringo.test.py	bernardocuteri/wasp	05c8f961776dbdbf7afbf905ee00fc262eba51ad	[ "Apache-2.0" ]	6	2015-01-15T07:51:48.000Z	2020-06-18T14:47:48.000Z	input = """ 2 18 3 0 3 19 20 21 1 1 1 0 18 2 23 3 0 3 19 24 25 1 1 2 1 21 23 3 5 21 19 20 24 25 0 0 6 0 5 5 21 19 20 24 25 1 1 1 1 1 0 21 a 19 b 20 c 24 d 25 e 28 f 0 B+ 0 B- 1 0 1 """ output = """ COST 1@1 """	8.115385	32	0.540284	75	211	1.52	0.306667	0.140351	0.105263	0.087719	0.192982	0.192982	0	0	0	0	0.694656	0.379147	211	25	33	8.44	0.175573	0	0.08	0	0	0.853081	0	0	0	1	0	false	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	1	0	1	0	0	1	0	null	0	0	0	0	0	0	0	4
0ac88c66372990e2da39877dd262a4baa72b4bfd	791	py	Python	yxtx/myApp/migrations/0017_chat.py	wjh112233/yxtx	f118c2b9983ca48b099f2c328487e23f5430303f	[ "Apache-2.0" ]	null	null	null	yxtx/myApp/migrations/0017_chat.py	wjh112233/yxtx	f118c2b9983ca48b099f2c328487e23f5430303f	[ "Apache-2.0" ]	null	null	null	yxtx/myApp/migrations/0017_chat.py	wjh112233/yxtx	f118c2b9983ca48b099f2c328487e23f5430303f	[ "Apache-2.0" ]	null	null	null	# Generated by Django 3.0.2 on 2020-03-17 08:44 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('myApp', '0016_usergroup_buyer'), ] operations = [ migrations.CreateModel( name='Chat', fields=[ ('id', models.CharField(max_length=31, primary_key=True, serialize=False)), ('chatinfo', models.CharField(max_length=20000)), ('shopid', models.CharField(max_length=30)), ('user1', models.CharField(max_length=50)), ('user2', models.CharField(max_length=50)), ('name1', models.CharField(max_length=50)), ('name2', models.CharField(max_length=50)), ], ), ]	30.423077	91	0.556258	80	791	5.375	0.6	0.244186	0.293023	0.390698	0.24186	0	0	0	0	0	0.072464	0.302149	791	25	92	31.64	0.706522	0.05689	0	1	0	0.087366	0	0	0	1	0	false	0	0.052632	0	0.210526	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	4
e4011ff0a2fe000023c186be9341efbe90bde007	57	py	Python	formfyxer/__init__.py	SuffolkLITLab/FormFyxer	00a6a70b30f1899fc5273de1001f1f57c3728f60	[ "MIT" ]	1	2022-03-07T23:22:00.000Z	2022-03-07T23:22:00.000Z	formfyxer/__init__.py	SuffolkLITLab/FormFyxer	00a6a70b30f1899fc5273de1001f1f57c3728f60	[ "MIT" ]	32	2022-02-10T17:33:58.000Z	2022-03-23T18:27:08.000Z	formfyxer/__init__.py	SuffolkLITLab/FormFyxer	00a6a70b30f1899fc5273de1001f1f57c3728f60	[ "MIT" ]	null	null	null	from .lit_explorer import * from .pdf_wrangling import *	19	28	0.789474	8	57	5.375	0.75	0	0	0	0	0	0	0	0	0	0	0.140351	57	2	29	28.5	0.877551	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	1	0	1	0	0	4
7c0e9d465eeddf2a8eeee673a92ff1e660a22216	57	py	Python	plans/config.py	datopian/plans	12bd9ff6f725703e7a73f3ad90680f5ade8cebdf	[ "MIT" ]	3	2019-11-18T12:04:27.000Z	2020-03-07T02:45:45.000Z	plans/config.py	datopian/plans	12bd9ff6f725703e7a73f3ad90680f5ade8cebdf	[ "MIT" ]	null	null	null	plans/config.py	datopian/plans	12bd9ff6f725703e7a73f3ad90680f5ade8cebdf	[ "MIT" ]	null	null	null	import os database_url = os.environ.get('DATABASE_URL')	14.25	45	0.77193	9	57	4.666667	0.666667	0.52381	0	0	0	0	0	0	0	0	0	0.105263	57	3	46	19	0.823529	0	0	0	0	0.210526	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	0	4
7c2377aec1cdd1edd01522b34885f68b9680468a	82	py	Python	src/app/database/__init__.py	roch1990/aiohttp-blog	32e7b76b5b293d4517631ea82dfa2b268a1662eb	[ "MIT" ]	20	2020-02-29T19:03:31.000Z	2022-02-18T21:13:12.000Z	src/app/database/__init__.py	roch1990/aiohttp-blog	32e7b76b5b293d4517631ea82dfa2b268a1662eb	[ "MIT" ]	465	2020-02-29T19:08:18.000Z	2022-03-18T22:21:49.000Z	src/app/database/__init__.py	roch1990/aiohttp-blog	32e7b76b5b293d4517631ea82dfa2b268a1662eb	[ "MIT" ]	26	2020-11-26T09:00:03.000Z	2022-02-16T04:20:53.000Z	from sqlalchemy.ext.declarative import declarative_base Base = declarative_base()	27.333333	55	0.853659	10	82	6.8	0.6	0.441176	0	0	0	0	0	0	0	0	0	0.085366	82	3	56	27.333333	0.906667	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	1	0	0	4

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