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the_stack_dedup_python

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d99a1e98eccb58cbc0c0cef6e9e6702f33461b0e	5,886	py	Python	public_data/serializers.py	MTES-MCT/sparte	3b8ae6d21da81ca761d64ae9dfe2c8f54487211c	[ "MIT" ]	null	null	null	public_data/serializers.py	MTES-MCT/sparte	3b8ae6d21da81ca761d64ae9dfe2c8f54487211c	[ "MIT" ]	3	2022-02-10T11:47:58.000Z	2022-02-23T18:50:24.000Z	public_data/serializers.py	MTES-MCT/sparte	3b8ae6d21da81ca761d64ae9dfe2c8f54487211c	[ "MIT" ]	null	null	null	from rest_framework_gis import serializers from rest_framework import serializers as s from .models import ( Artificialisee2015to2018, Artificielle2018, CommunesSybarval, CouvertureSol, EnveloppeUrbaine2018, Ocsge, Renaturee2018to2015, Sybarval, Voirie2018, ZonesBaties2018, ...	25.37069	80	0.613829	558	5,886	6.28853	0.130824	0.029068	0.058136	0.072955	0.702194	0.668852	0.666002	0.656312	0.656312	0.623254	0	0.061826	0.29103	5,886	231	81	25.480519	0.779056	0.009514	0	0.664804	0	0	0.067194	0	0	0	0	0	0	1	0.094972	false	0	0.01676	0.089385	0.418994	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1
d99a20277c32bb1e28312f42ab6d732f38323169	241	py	Python	quick_search/admin.py	naman1901/django-quick-search	7b93554ed9fa4721e52372f9fd1a395d94cc04a7	[ "MIT" ]	null	null	null	quick_search/admin.py	naman1901/django-quick-search	7b93554ed9fa4721e52372f9fd1a395d94cc04a7	[ "MIT" ]	2	2020-02-11T23:28:22.000Z	2020-06-05T19:27:40.000Z	quick_search/admin.py	HereWithoutPermission/django-quick-search	7b93554ed9fa4721e52372f9fd1a395d94cc04a7	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import SearchResult # Register your models here. class SearchResultAdmin(admin.ModelAdmin): fields = ["query", "heading", "url", "text"] admin.site.register(SearchResult, SearchResultAdmin)	30.125	52	0.771784	27	241	6.888889	0.703704	0	0	0	0	0	0	0	0	0	0	0	0.116183	241	8	52	30.125	0.873239	0.107884	0	0	0	0	0.088785	0	0	0	0	0	0	1	0	false	0	0.4	0	0.8	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	0	3
d99b5ab0ec594ac30b1d197b23a5cda7c48151d5	18,065	py	Python	rasa/train.py	Amirali-Shirkh/rasa-for-botfront	36aa24ad31241c5d1a180bbe34e1c8c50da40ff7	[ "Apache-2.0" ]	null	null	null	rasa/train.py	Amirali-Shirkh/rasa-for-botfront	36aa24ad31241c5d1a180bbe34e1c8c50da40ff7	[ "Apache-2.0" ]	null	null	null	rasa/train.py	Amirali-Shirkh/rasa-for-botfront	36aa24ad31241c5d1a180bbe34e1c8c50da40ff7	[ "Apache-2.0" ]	null	null	null	import asyncio import os import tempfile from contextlib import ExitStack from typing import Text, Optional, List, Union, Dict from rasa.importers.importer import TrainingDataImporter from rasa import model from rasa.model import FingerprintComparisonResult from rasa.core.domain import Domain from rasa.utils.common im...	34.673704	128	0.654027	2,139	18,065	5.259467	0.099579	0.0432	0.053511	0.043022	0.643644	0.565956	0.532178	0.5128	0.470756	0.448444	0	0	0.275505	18,065	520	129	34.740385	0.859566	0.102131	0	0.47619	0	0	0.097136	0.003	0	0	0	0	0	1	0.008403	false	0	0.123249	0	0.173669	0.120448	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	1	0
d99e8a9a95f28da6c2d4d1ee42e95a270ab08977	421	py	Python	coding_intereview/1475. Final Prices With a Special Discount in a Shop.py	Jahidul007/Python-Bootcamp	3c870587465ff66c2c1871c8d3c4eea72463abda	[ "MIT" ]	2	2020-12-07T16:07:07.000Z	2020-12-07T16:08:53.000Z	coding_intereview/1475. Final Prices With a Special Discount in a Shop.py	purusharthmalik/Python-Bootcamp	2ed1cf886d1081de200b0fdd4cb4e28008c7e3d1	[ "MIT" ]	null	null	null	coding_intereview/1475. Final Prices With a Special Discount in a Shop.py	purusharthmalik/Python-Bootcamp	2ed1cf886d1081de200b0fdd4cb4e28008c7e3d1	[ "MIT" ]	1	2020-10-03T16:38:02.000Z	2020-10-03T16:38:02.000Z	class Solution: def finalPrices(self, prices: List[int]) -> List[int]: res = [] for i in range(len(prices)): for j in range(i+1,len(prices)): if prices[j]<=prices[i]: res.append(prices[i]-prices[j]) break if j==len(p...	35.083333	58	0.460808	52	421	3.730769	0.384615	0.139175	0.231959	0.164948	0.226804	0	0	0	0	0	0	0.011858	0.39905	421	12	59	35.083333	0.754941	0	0	0	0	0	0	0	0	0	0	0	0	1	0.083333	false	0	0	0	0.25	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	2
d99ed7256245422c7c5dd3c60b0661e4f78183ea	35,585	py	Python	rplugin/python3/denite/ui/default.py	timgates42/denite.nvim	12a9b5456f5a4600afeb0ba284ce1098bd35e501	[ "MIT" ]	null	null	null	rplugin/python3/denite/ui/default.py	timgates42/denite.nvim	12a9b5456f5a4600afeb0ba284ce1098bd35e501	[ "MIT" ]	null	null	null	rplugin/python3/denite/ui/default.py	timgates42/denite.nvim	12a9b5456f5a4600afeb0ba284ce1098bd35e501	[ "MIT" ]	null	null	null	# ============================================================================ # FILE: default.py # AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com> # License: MIT license # ============================================================================ import re import typing from denite.util import echo, error, c...	37.816153	79	0.54863	3,700	35,585	4.95	0.09973	0.058094	0.036637	0.012995	0.344253	0.19585	0.13448	0.096861	0.084084	0.06967	0	0.00293	0.328565	35,585	940	80	37.856383	0.763613	0.030547	0	0.25	0	0	0.141075	0.02771	0	0	0	0	0	1	0.057592	false	0	0.007853	0.005236	0.111257	0.001309	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	1	0
d99f875863138f11af1d76f0c753c198ad6d96bd	1,329	py	Python	PyDSTool/core/context_managers.py	yuanz271/PyDSTool	886c143cdd192aea204285f3a1cb4968c763c646	[ "Python-2.0", "OLDAP-2.7" ]	null	null	null	PyDSTool/core/context_managers.py	yuanz271/PyDSTool	886c143cdd192aea204285f3a1cb4968c763c646	[ "Python-2.0", "OLDAP-2.7" ]	null	null	null	PyDSTool/core/context_managers.py	yuanz271/PyDSTool	886c143cdd192aea204285f3a1cb4968c763c646	[ "Python-2.0", "OLDAP-2.7" ]	null	null	null	# -- coding: utf-8 -- """Context managers implemented for (mostly) internal use""" import contextlib import functools from io import UnsupportedOperation import os import sys __all__ = ["RedirectStdout", "RedirectStderr"] @contextlib.contextmanager def _stdchannel_redirected(stdchannel, dest_filename, mode="w")...	28.891304	109	0.68924	144	1,329	6.229167	0.479167	0.044593	0.086957	0.120401	0.086957	0	0	0	0	0	0	0.014299	0.210685	1,329	45	110	29.533333	0.840801	0.209932	0	0.071429	0	0	0.028404	0	0	0	0	0	0	1	0.035714	false	0	0.178571	0	0.214286	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	1	0
d99ff34b5f61cee604590c456f40398d7da18182	3,215	py	Python	pos_kiosk/hooks.py	Muzzy73/pos_kiosk	1ed42cfaeb15f009293b76d05dd85bd322b42f03	[ "MIT" ]	1	2022-03-05T11:42:36.000Z	2022-03-05T11:42:36.000Z	pos_kiosk/hooks.py	Muzzy73/pos_kiosk	1ed42cfaeb15f009293b76d05dd85bd322b42f03	[ "MIT" ]	null	null	null	pos_kiosk/hooks.py	Muzzy73/pos_kiosk	1ed42cfaeb15f009293b76d05dd85bd322b42f03	[ "MIT" ]	1	2022-03-05T11:42:37.000Z	2022-03-05T11:42:37.000Z	# -- coding: utf-8 -- from __future__ import unicode_literals from . import __version__ as app_version app_name = "pos_kiosk" app_title = "Pos Kiosk" app_publisher = "9t9it" app_description = "Kiosk App" app_icon = "octicon octicon-file-directory" app_color = "grey" app_email = "[email protected]" app_license = "MIT" ...	22.964286	101	0.631415	384	3,215	5.010417	0.338542	0.091476	0.033784	0.035343	0.235967	0.141892	0.108628	0.085239	0.085239	0.045738	0	0.001911	0.186003	3,215	139	102	23.129496	0.733282	0.7521	0	0	0	0	0.231206	0.031206	0	0	0	0	0	1	0	false	0	0.08	0	0.08	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	1	0
d9a00b2c6f1a0e88ad5b4a7def2a45bd074f417f	3,880	py	Python	pypagai/models/model_lstm.py	gcouti/pypagAI	d08fac95361dcc036d890a88cb86ce090322a612	[ "Apache-2.0" ]	1	2018-07-24T18:53:26.000Z	2018-07-24T18:53:26.000Z	pypagai/models/model_lstm.py	gcouti/pypagAI	d08fac95361dcc036d890a88cb86ce090322a612	[ "Apache-2.0" ]	7	2020-01-28T21:45:14.000Z	2022-03-11T23:20:53.000Z	pypagai/models/model_lstm.py	gcouti/pypagAI	d08fac95361dcc036d890a88cb86ce090322a612	[ "Apache-2.0" ]	null	null	null	from keras import Model, Input from keras.layers import Dense, concatenate, LSTM, Reshape, Permute, Embedding, Dropout, Convolution1D, Flatten from keras.optimizers import Adam from pypagai.models.base import KerasModel class SimpleLSTM(KerasModel): """ Use a simple lstm neural network """ @staticmet...	33.162393	114	0.650773	460	3,880	5.226087	0.171739	0.040765	0.037854	0.034942	0.851498	0.851498	0.835691	0.811564	0.741681	0.741681	0	0.022069	0.217526	3,880	116	115	33.448276	0.769763	0.043041	0	0.694444	0	0	0.064648	0.025368	0	0	0	0	0	1	0.125	false	0	0.055556	0	0.263889	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	6
d9a09cb6f497e8ccdf9de40f4b8ebd6b96a1c43a	113	py	Python	lib/variables/latent_variables/__init__.py	joelouismarino/variational_rl	11dc14bfb56f3ebbfccd5de206b78712a8039a9a	[ "MIT" ]	15	2020-10-20T22:09:36.000Z	2021-12-24T13:40:36.000Z	lib/variables/latent_variables/__init__.py	joelouismarino/variational_rl	11dc14bfb56f3ebbfccd5de206b78712a8039a9a	[ "MIT" ]	null	null	null	lib/variables/latent_variables/__init__.py	joelouismarino/variational_rl	11dc14bfb56f3ebbfccd5de206b78712a8039a9a	[ "MIT" ]	1	2020-10-23T19:48:06.000Z	2020-10-23T19:48:06.000Z	from .fully_connected import FullyConnectedLatentVariable from .convolutional import ConvolutionalLatentVariable	37.666667	57	0.911504	9	113	11.333333	0.777778	0	0	0	0	0	0	0	0	0	0	0	0.070796	113	2	58	56.5	0.971429	0	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	0	0	0	5
d9a0c8935f1da040f76922b94d20a857d8b8cd7d	3,338	py	Python	easyai/model/backbone/cls/pnasnet.py	lpj0822/image_point_cloud_det	7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f	[ "MIT" ]	1	2020-09-05T09:18:56.000Z	2020-09-05T09:18:56.000Z	easyai/model/backbone/cls/pnasnet.py	lpj0822/image_point_cloud_det	7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f	[ "MIT" ]	8	2020-04-20T02:18:55.000Z	2022-03-12T00:24:50.000Z	easyai/model/backbone/cls/pnasnet.py	lpj0822/image_point_cloud_det	7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f	[ "MIT" ]	null	null	null	#!/usr/bin/env python # -- coding:utf-8 -- # Author: ''' PNASNet in PyTorch. Paper: Progressive Neural Architecture Search ''' from easyai.base_name.block_name import NormalizationType, ActivationType from easyai.base_name.backbone_name import BackboneName from easyai.model.backbone.utility.base_backbone import * fr...	35.892473	95	0.612942	386	3,338	5.012953	0.238342	0.056848	0.069767	0.037209	0.357623	0.328682	0.285271	0.234625	0.131266	0.131266	0	0.010748	0.303176	3,338	92	96	36.282609	0.821152	0.034452	0	0.117647	0	0	0.005602	0	0	0	0	0	0	1	0.102941	false	0	0.073529	0	0.235294	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	1	0
d9a0daeef5f3a3455af5c2983af478cd08c74a7b	11,247	py	Python	map_download/cmd/TerrainDownloader.py	cugxy/map_download	02142b33edb2bc163f7ae971f443efe84c13e029	[ "MIT" ]	27	2019-04-02T08:34:16.000Z	2022-01-11T01:48:50.000Z	map_download/cmd/TerrainDownloader.py	cugxy/map_download	02142b33edb2bc163f7ae971f443efe84c13e029	[ "MIT" ]	8	2019-10-10T03:03:51.000Z	2021-11-14T11:01:47.000Z	map_download/cmd/TerrainDownloader.py	cugxy/map_download	02142b33edb2bc163f7ae971f443efe84c13e029	[ "MIT" ]	7	2019-04-02T08:43:04.000Z	2020-08-11T02:14:24.000Z	# -- coding: utf-8 -- # coding=utf-8 import json import os import math import logging import requests import time from map_download.cmd.BaseDownloader import DownloadEngine, BaseDownloaderThread, latlng2tile_terrain, BoundBox def get_access_token(token): resp = None request_count = 0 url = "https://ap...	35.479495	117	0.384992	980	11,247	4.266327	0.257143	0.025114	0.04664	0.050227	0.218369	0.128199	0.088017	0.056446	0.043052	0.043052	0	0.043237	0.518805	11,247	316	118	35.591772	0.728936	0.003112	0	0.30303	0	0.003367	0.107423	0.010707	0	0	0	0	0	1	0.026936	false	0.003367	0.023569	0.003367	0.097643	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1

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