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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
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 = "info@9t9it.com" 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
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
d9a268f19adc7700cf1335eb9dfc2c8d74c5a4dc	2,208	py	Python	tools/utils.py	vahini01/electoral_rolls	82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44	[ "MIT" ]	16	2018-01-22T02:03:09.000Z	2022-02-24T07:16:47.000Z	tools/utils.py	vahini01/electoral_rolls	82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44	[ "MIT" ]	2	2019-02-01T02:48:17.000Z	2020-09-06T06:09:35.000Z	tools/utils.py	vahini01/electoral_rolls	82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44	[ "MIT" ]	8	2018-01-22T06:48:07.000Z	2021-08-08T16:26:12.000Z	#!/usr/bin/env python3 # -- coding: utf-8 -- """ Created on Fri Nov 10 23:28:58 2017 @author: dhingratul """ import urllib.request import os from selenium import webdriver from selenium.webdriver.support.ui import Select from bs4 import BeautifulSoup import ssl import requests import wget from PyPDF2 import PdfFileR...	25.976471	100	0.646286	299	2,208	4.668896	0.391304	0.034384	0.032235	0.038682	0.259312	0.18553	0.098138	0.098138	0.098138	0.098138	0	0.017748	0.259964	2,208	84	101	26.285714	0.836597	0.14221	0	0.33871	0	0	0.004795	0	0	0	0	0	0	1	0.080645	false	0	0.145161	0	0.322581	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
d9a3883f0ea5d080d5d4d2e05df6fadcaeb5c36e	1,956	py	Python	exp/viz_raw_manhattan.py	ellencwade/coronavirus-2020	b71e018deb8df8450b4d88ddbcd6ded6497aa8f9	[ "MIT" ]	null	null	null	exp/viz_raw_manhattan.py	ellencwade/coronavirus-2020	b71e018deb8df8450b4d88ddbcd6ded6497aa8f9	[ "MIT" ]	null	null	null	exp/viz_raw_manhattan.py	ellencwade/coronavirus-2020	b71e018deb8df8450b4d88ddbcd6ded6497aa8f9	[ "MIT" ]	null	null	null	""" Experiment summary ------------------ Treat each province/state in a country cases over time as a vector, do a simple K-Nearest Neighbor between countries. What country has the most similar trajectory to a given country? Plots similar countries """ import sys sys.path.insert(0, '..') from utils import data impor...	26.432432	74	0.658487	270	1,956	4.614815	0.485185	0.044141	0.017657	0.041734	0.089888	0.089888	0.089888	0.089888	0.089888	0.089888	0	0.019692	0.169223	1,956	74	75	26.432432	0.747077	0.169734	0	0.16	0	0	0.214109	0.080446	0	0	0	0	0	1	0	false	0	0.14	0	0.14	0.02	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
d9a428c026d2352f281b2b7ddd8ec8a286d37297	5,290	py	Python	rational/mxnet/rationals.py	steven-lang/rational_activations	234623dbb9360c215c430185b09e2237d5186b54	[ "MIT" ]	null	null	null	rational/mxnet/rationals.py	steven-lang/rational_activations	234623dbb9360c215c430185b09e2237d5186b54	[ "MIT" ]	null	null	null	rational/mxnet/rationals.py	steven-lang/rational_activations	234623dbb9360c215c430185b09e2237d5186b54	[ "MIT" ]	null	null	null	""" Rational Activation Functions for MXNET ======================================= This module allows you to create Rational Neural Networks using Learnable Rational activation functions with MXNET networks. """ import mxnet as mx from mxnet import initializer from mxnet.gluon import HybridBlock from rational.utils....	42.66129	99	0.56276	584	5,290	4.943493	0.304795	0.02771	0.027018	0.004157	0.085902	0.073433	0.0478	0.0478	0.0478	0.010391	0	0.006928	0.34518	5,290	123	100	43.00813	0.826501	0.413422	0	0.24	0	0	0.038147	0	0	0	0	0	0	1	0.06	false	0	0.14	0.02	0.26	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
d9a6621d903359b14c87695eb4a1ac8dcea18138	844	py	Python	torchflare/criterion/utils.py	Neklaustares-tPtwP/torchflare	7af6b01ef7c26f0277a041619081f6df4eb1e42c	[ "Apache-2.0" ]	1	2021-09-14T08:38:05.000Z	2021-09-14T08:38:05.000Z	torchflare/criterion/utils.py	weidao-Shi/torchflare	3c55b5a0761f2e85dd6da95767c6ec03f0f5baad	[ "Apache-2.0" ]	null	null	null	torchflare/criterion/utils.py	weidao-Shi/torchflare	3c55b5a0761f2e85dd6da95767c6ec03f0f5baad	[ "Apache-2.0" ]	1	2021-08-06T19:24:43.000Z	2021-08-06T19:24:43.000Z	"""Utils for criterion.""" import torch import torch.nn.functional as F def normalize(x, axis=-1): """Performs L2-Norm.""" num = x denom = torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12 return num / denom # Source : https://github.com/earhian/Humpback-Whale-Identification-1st-/blob/master...	26.375	107	0.613744	141	844	3.64539	0.439716	0.015564	0.099222	0.054475	0.124514	0.124514	0.124514	0.124514	0.124514	0.124514	0	0.031019	0.197867	844	31	108	27.225806	0.728213	0.236967	0	0.111111	0	0	0	0	0	0	0	0	0	1	0.166667	false	0	0.111111	0	0.444444	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
d9a90a5af3f207f1020cbf41f94830b75e23fbc9	4,411	py	Python	readthedocs/donate/forms.py	gamearming/readthedocs	53d0094f657f549326a86b8bd0ccf924c2126941	[ "MIT" ]	null	null	null	readthedocs/donate/forms.py	gamearming/readthedocs	53d0094f657f549326a86b8bd0ccf924c2126941	[ "MIT" ]	null	null	null	readthedocs/donate/forms.py	gamearming/readthedocs	53d0094f657f549326a86b8bd0ccf924c2126941	[ "MIT" ]	null	null	null	"""Forms for RTD donations""" import logging from django import forms from django.conf import settings from django.utils.translation import ugettext_lazy as _ from readthedocs.payments.forms import StripeModelForm, StripeResourceMixin from readthedocs.payments.utils import stripe from .models import Supporter log ...	33.416667	97	0.594423	478	4,411	5.349372	0.320084	0.038717	0.052796	0.028158	0.525616	0.509973	0.484943	0.44036	0.44036	0.397341	0	0.008729	0.298798	4,411	131	98	33.671756	0.817976	0.112446	0	0.510204	0	0	0.230052	0	0	0	0	0	0	1	0.040816	false	0	0.071429	0	0.22449	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
d9ad95f0461bd02e44c310b1381567e8524c288c	6,258	py	Python	pandas_datareaders_unofficial/datareaders/google_finance_options.py	movermeyer/pandas_datareaders_unofficial	458dcf473d070cd7686d53d4a9b479cbe0ab9218	[ "BSD-3-Clause" ]	18	2015-02-05T01:42:51.000Z	2020-12-27T19:24:25.000Z	pandas_datareaders_unofficial/datareaders/google_finance_options.py	movermeyer/pandas_datareaders_unofficial	458dcf473d070cd7686d53d4a9b479cbe0ab9218	[ "BSD-3-Clause" ]	1	2015-01-12T11:08:02.000Z	2015-01-13T09:14:47.000Z	pandas_datareaders_unofficial/datareaders/google_finance_options.py	femtotrader/pandas_datareaders	458dcf473d070cd7686d53d4a9b479cbe0ab9218	[ "BSD-3-Clause" ]	13	2015-09-10T19:39:51.000Z	2022-01-06T17:08:35.000Z	#!/usr/bin/env python # -- coding: utf-8 -- from .base import DataReaderBase from ..tools import COL, _get_dates, to_float, to_int import pandas as pd #from pandas.tseries.frequencies import to_offset from six.moves import cStringIO as StringIO import logging import traceback import datetime import json import tok...	29.942584	115	0.527964	754	6,258	4.270557	0.324934	0.01087	0.013975	0.013043	0.198758	0.180745	0.146584	0.1	0.1	0.1	0	0.016197	0.319271	6,258	208	116	30.086538	0.739671	0.167945	0	0.281818	0	0	0.087476	0	0	0	0	0	0	1	0.072727	false	0	0.090909	0.009091	0.190909	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
d9adb9ef68a4c2ce5de1ed13aea3230964400996	5,039	py	Python	keras_textclassification/data_preprocess/generator_preprocess.py	Vail-qin/Keras-TextClassification	8acda5ae37db2647c8ecaa70027ffc6003d2abca	[ "MIT" ]	1	2019-12-27T16:59:16.000Z	2019-12-27T16:59:16.000Z	keras_textclassification/data_preprocess/generator_preprocess.py	Yolo-Cultivate/Keras-TextClassification	183cf7b3483588bfe10d19b65124e52df5b338f8	[ "MIT" ]	null	null	null	keras_textclassification/data_preprocess/generator_preprocess.py	Yolo-Cultivate/Keras-TextClassification	183cf7b3483588bfe10d19b65124e52df5b338f8	[ "MIT" ]	1	2022-01-11T06:37:54.000Z	2022-01-11T06:37:54.000Z	# !/usr/bin/python # -- coding: utf-8 -- # @time : 2019/11/2 21:08 # @author : Mo # @function: from keras_textclassification.data_preprocess.text_preprocess import load_json, save_json from keras_textclassification.conf.path_config import path_model_dir path_fast_text_model_vocab2index = path_model_dir + 'vocab...	36.781022	92	0.523318	646	5,039	3.773994	0.218266	0.049221	0.054143	0.076702	0.370796	0.322395	0.30886	0.248975	0.226005	0.211649	0	0.039798	0.371701	5,039	136	93	37.051471	0.730259	0.059536	0	0.219048	0	0	0.040825	0.019562	0	0	0	0	0	1	0.057143	false	0	0.038095	0	0.142857	0.009524	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
d9b0df7f5ef294a68858d836af143c289d120187	4,375	py	Python	Object_detection_image.py	hiperus0988/pyao	72c56975a3d45aa033bdf7650b5369d59240395f	[ "Apache-2.0" ]	1	2021-06-09T22:17:57.000Z	2021-06-09T22:17:57.000Z	Object_detection_image.py	hiperus0988/pyao	72c56975a3d45aa033bdf7650b5369d59240395f	[ "Apache-2.0" ]	null	null	null	Object_detection_image.py	hiperus0988/pyao	72c56975a3d45aa033bdf7650b5369d59240395f	[ "Apache-2.0" ]	null	null	null	######## Image Object Detection Using Tensorflow-trained Classifier ######### # # Author: Evan Juras # Date: 1/15/18 # Description: # This program uses a TensorFlow-trained classifier to perform object detection. # It loads the classifier uses it to perform object detection on an image. # It draws boxes and scores aro...	36.458333	122	0.779886	680	4,375	4.836765	0.377941	0.045607	0.025844	0.034965	0.082396	0.06689	0.034661	0	0	0	0	0.007451	0.141029	4,375	119	123	36.764706	0.867749	0.511314	0	0	0	0	0.083977	0.012066	0	0	0	0	0	1	0	false	0	0.166667	0	0.166667	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
d9b42bca24804913cf6908775c04bc29a0bec6df	1,469	py	Python	model/contact.py	hubogeri/python_training	7a918040e4c8bae5a031134911bc8b465f322699	[ "Apache-2.0" ]	null	null	null	model/contact.py	hubogeri/python_training	7a918040e4c8bae5a031134911bc8b465f322699	[ "Apache-2.0" ]	null	null	null	model/contact.py	hubogeri/python_training	7a918040e4c8bae5a031134911bc8b465f322699	[ "Apache-2.0" ]	null	null	null	from sys import maxsize class Contact: def __init__(self, fname=None, mname=None, lname=None, nick=None, title=None, comp=None, addr=None, home=None, mobile=None, work=None, fax=None, email1=None, email2=None, email3=None, homepage=None, bday=None, bmonth=None, byear=None, aday=...	30.604167	135	0.571137	191	1,469	4.319372	0.246073	0.043636	0.019394	0.024242	0	0	0	0	0	0	0	0.009091	0.326072	1,469	47	136	31.255319	0.824242	0	0	0	0	0	0.00545	0	0	0	0	0	0	1	0.1	false	0	0.025	0.05	0.25	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
d9b4cabd9071c90b544409b5b87e3302450b1278	11,342	py	Python	test/IECore/BasicPreset.py	ericmehl/cortex	054839cc709ce153d1bcaaefe7f340ebe641ec82	[ "BSD-3-Clause" ]	386	2015-01-02T11:10:43.000Z	2022-03-10T15:12:20.000Z	test/IECore/BasicPreset.py	ericmehl/cortex	054839cc709ce153d1bcaaefe7f340ebe641ec82	[ "BSD-3-Clause" ]	484	2015-01-09T18:28:06.000Z	2022-03-31T16:02:04.000Z	test/IECore/BasicPreset.py	ericmehl/cortex	054839cc709ce153d1bcaaefe7f340ebe641ec82	[ "BSD-3-Clause" ]	99	2015-01-28T23:18:04.000Z	2022-03-27T00:59:39.000Z	########################################################################## # # Copyright (c) 2010-2012, Image Engine Design Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redis...	33.655786	107	0.677923	1,199	11,342	6.381985	0.202669	0.102196	0.059592	0.040251	0.657998	0.625457	0.58965	0.570047	0.533717	0.515682	0	0.014208	0.162229	11,342	336	108	33.755952	0.791097	0.156145	0	0.46729	0	0	0.085242	0.013213	0	0	0	0	0.182243	1	0.037383	false	0	0.028037	0	0.070093	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

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