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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d9b0c3d32e07c56a0732f0fca454740538a940fe | 451 | py | Python | setup.py | Kaslanarian/PythonSVM | 715eeef2a245736167addf45a6aee8b40b54d0c7 | [
"MIT"
] | 2 | 2021-09-25T01:00:37.000Z | 2021-09-27T12:13:24.000Z | setup.py | Kaslanarian/PythonSVM | 715eeef2a245736167addf45a6aee8b40b54d0c7 | [
"MIT"
] | 1 | 2021-09-17T12:08:14.000Z | 2021-09-17T12:08:14.000Z | setup.py | Kaslanarian/PythonSVM | 715eeef2a245736167addf45a6aee8b40b54d0c7 | [
"MIT"
] | null | null | null | import setuptools #enables develop
setuptools.setup(
name='pysvm',
version='0.1',
description='PySVM : A NumPy implementation of SVM based on SMO algorithm',
author_email="[email protected]",
packages=['pysvm'],
license='MIT License',
long_description=open('README.md', encoding='u... | 28.1875 | 79 | 0.660754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 229 | 0.4946 |
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,505 | 0.572571 |
d9b62ab258f0b51ef25d431f8fa66de9acd438a7 | 1,895 | py | Python | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | 23 | 2019-03-05T08:33:34.000Z | 2021-12-13T01:52:47.000Z | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | null | null | null | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | 6 | 2019-03-07T07:58:02.000Z | 2020-12-18T10:08:47.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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 a... | 30.079365 | 76 | 0.663852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,092 | 0.576253 |
d9b8347698a1fe18b6d9ec66f6bfbfa77f2567be | 1,566 | py | Python | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | #!/usr/local/bin/python3
import paramiko,time
#using as SSH Client
client = paramiko.SSHClient()
# check dir(client) to find available options.
# auto adjust host key verification with yes or no
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# time for connecting to remote Cisco IOS
"""
Manually taki... | 23.727273 | 89 | 0.691571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 907 | 0.579183 |
d9b86cc42aaff67200ff3f4f5f6d27121835fd8c | 733 | py | Python | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | # for n in range(400,500):
# i = n // 100
# j = n // 10 % 10
# k = n % 10
# if n == i ** 3 + j ** 3 + k ** 3:
# print(n)
# 第一道题(16)
# input("请输入(第一次):")
# s1 = input("请输入(第二次):")
# l1 = s1.split(' ')
# l2 = []
# for i in l1:
# if i.isdigit():
# l2.append(int(i))
# for i in l2:
# ... | 13.089286 | 39 | 0.452933 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 441 | 0.553325 |
d9c69927875c451378bcb7d50069e903036beefa | 5,490 | py | Python | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 26 | 2015-02-14T11:37:21.000Z | 2021-05-10T17:24:16.000Z | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 8 | 2015-02-14T17:33:24.000Z | 2021-10-05T20:32:19.000Z | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 15 | 2015-01-24T23:36:54.000Z | 2021-10-02T23:40:08.000Z | """
This script will modulate the blinky lights using the following algorithm:
1) uses user-provided location to obtain row of pixel data from bathy image
2) samples a 'number of LEDs' number of pixels from that row
3) shifts the sampled row data to center it at the location specified by user
4) displays resulting pix... | 36.845638 | 230 | 0.654098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,142 | 0.572313 |
d9d317f8ac0c3d87ca7347265d7a9836b41ed098 | 2,481 | py | Python | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | 1 | 2021-09-17T20:39:07.000Z | 2021-09-17T20:39:07.000Z | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | 133 | 2021-08-29T17:24:26.000Z | 2022-03-25T17:24:31.000Z | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | null | null | null | import datetime
import uuid
import simplejson as json
from src.db.s3_client import Client as S3Client
from decimal import Decimal
def get_from_archive(archive_key):
''' Download a VP Save from S3.
:param str archive_key: The vp_save data's location (S3 bucket and file path). This value is required.
'''
if ... | 27.263736 | 104 | 0.699315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,134 | 0.457074 |
d9d368d362ab070d71b3363fe0fb20728ec9660d | 5,985 | py | Python | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | 1 | 2021-02-28T15:38:37.000Z | 2021-02-28T15:38:37.000Z | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | null | null | null | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | null | null | null | import shutil
import os
import json
import glob
import yaml
import sys
import urllib
import ssl
import csv
import time
import requests
import json
import csv
from rdflib import URIRef, BNode, Literal, Graph
from rdflib.namespace import RDF, RDFS, FOAF, XSD
from rdflib import Namespace
all = Graph()
with open("data/... | 29.338235 | 129 | 0.513116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,677 | 0.445795 |
d9d80db949c5d5f415b809076411a2404da55e53 | 10,912 | py | Python | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 2 | 2019-05-18T22:36:49.000Z | 2019-05-24T05:56:16.000Z | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 1 | 2020-04-22T12:45:26.000Z | 2020-04-22T12:45:26.000Z | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 3 | 2021-02-16T16:40:49.000Z | 2022-03-07T18:28:41.000Z | from sympy.combinatorics import Permutation
from sympy.combinatorics.util import _distribute_gens_by_base
rmul = Permutation.rmul
def _cmp_perm_lists(first, second):
"""
Compare two lists of permutations as sets.
This is used for testing purposes. Since the array form of a
permutation is currently a... | 32.47619 | 98 | 0.641679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,734 | 0.525477 |
d9d95781d1bacab44253ba285649d7b99ee1e33d | 542 | py | Python | src/vatic_checker/config.py | jonkeane/vatic-checker | fa8aec6946dcfd3f466b62f9c00d81bc43514b22 | [
"MIT"
] | null | null | null | src/vatic_checker/config.py | jonkeane/vatic-checker | fa8aec6946dcfd3f466b62f9c00d81bc43514b22 | [
"MIT"
] | null | null | null | src/vatic_checker/config.py | jonkeane/vatic-checker | fa8aec6946dcfd3f466b62f9c00d81bc43514b22 | [
"MIT"
] | null | null | null | localhost = "http://localhost/" # your local host
database = "mysql://root@localhost/vaticChecker" # server://user:pass@localhost/dbname
min_training = 2 # the minimum number of training videos to be considered
recaptcha_secret = "" # recaptcha secret for verification
duplicate_annotations = False #... | 38.714286 | 94 | 0.745387 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 310 | 0.571956 |
d9e551f94d290cc9b470d1fddfc0e91666dab7ba | 444 | py | Python | setup.py | zhanghang1989/notedown | b0fa1eac88d1cd7fa2261d6c454f82669e6f552b | [
"BSD-2-Clause"
] | null | null | null | setup.py | zhanghang1989/notedown | b0fa1eac88d1cd7fa2261d6c454f82669e6f552b | [
"BSD-2-Clause"
] | null | null | null | setup.py | zhanghang1989/notedown | b0fa1eac88d1cd7fa2261d6c454f82669e6f552b | [
"BSD-2-Clause"
] | null | null | null | from setuptools import setup
# create __version__
exec(open('./_version.py').read())
setup(
name="notedown",
version=__version__,
description="Convert markdown to IPython notebook.",
author="Aaron O'Leary",
author_email='[email protected]',
url='http://github.com/aaren/notedown',
install_requir... | 22.2 | 56 | 0.628378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198 | 0.445946 |
d9e5c18f6a37dd4a96dd21f7ddefb31b197848dd | 2,853 | py | Python | multithreaded_webcrawler.py | the-muses-ltd/Multithreaded-Webcrawler-Cassandra- | eee68faf3c6ecb548edd0e96ce445dcd366fb735 | [
"MIT"
] | null | null | null | multithreaded_webcrawler.py | the-muses-ltd/Multithreaded-Webcrawler-Cassandra- | eee68faf3c6ecb548edd0e96ce445dcd366fb735 | [
"MIT"
] | null | null | null | multithreaded_webcrawler.py | the-muses-ltd/Multithreaded-Webcrawler-Cassandra- | eee68faf3c6ecb548edd0e96ce445dcd366fb735 | [
"MIT"
] | null | null | null | # This is a reusable webcraawler architecture that can be adapted to scrape any webstie.
# RESULTS:
# Roughly 24 seconds per thousand courses scraped for ThreadPoolExecutor vs 63s for unthreaded script.
# This is a very basic implementation of multithreading in order to show the proof of concept, but is a good base to... | 42.58209 | 164 | 0.667368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,311 | 0.459516 |
d9efa4ffda8cacd286187e29ce110d292c7a1e64 | 946 | py | Python | clpy/sparse/util.py | fixstars/clpy | 693485f85397cc110fa45803c36c30c24c297df0 | [
"BSD-3-Clause"
] | 142 | 2018-06-07T07:43:10.000Z | 2021-10-30T21:06:32.000Z | clpy/sparse/util.py | fixstars/clpy | 693485f85397cc110fa45803c36c30c24c297df0 | [
"BSD-3-Clause"
] | 282 | 2018-06-07T08:35:03.000Z | 2021-03-31T03:14:32.000Z | clpy/sparse/util.py | fixstars/clpy | 693485f85397cc110fa45803c36c30c24c297df0 | [
"BSD-3-Clause"
] | 19 | 2018-06-19T11:07:53.000Z | 2021-05-13T20:57:04.000Z | import clpy
import clpy.sparse.base
_preamble_atomic_add = '''
#if __CUDA_ARCH__ < 600
__device__ double atomicAdd(double* address, double val) {
unsigned long long* address_as_ull =
(unsigned long long*)address;
unsigned long long old = *address_as_ull, assumed;
... | 24.25641 | 76 | 0.60148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 524 | 0.553911 |
d9f9cd4e7a0b73e79eb71d2bdbfa755d69a9cc9d | 597 | py | Python | examples/first_char_last_column.py | clarkfitzg/sta141c | 129704ba0952a4b80f9b093dcfa49f49f37b052d | [
"MIT"
] | 24 | 2019-01-08T20:10:11.000Z | 2021-11-26T12:18:58.000Z | examples/first_char_last_column.py | timilchene/sta141c-winter19 | 129704ba0952a4b80f9b093dcfa49f49f37b052d | [
"MIT"
] | 1 | 2017-06-25T05:35:24.000Z | 2017-06-25T05:35:24.000Z | examples/first_char_last_column.py | timilchene/sta141c-winter19 | 129704ba0952a4b80f9b093dcfa49f49f37b052d | [
"MIT"
] | 22 | 2019-01-08T20:02:15.000Z | 2021-12-16T23:27:56.000Z | #!/usr/bin/env python3
"""
For the last column, print only the first character.
Usage:
$ printf "100,200\n0,\n" | python3 first_char_last_column.py
Should print "100,2\n0,"
"""
import csv
from sys import stdin, stdout
def main():
reader = csv.reader(stdin)
writer = csv.writer(stdout)
for row in re... | 19.258065 | 64 | 0.606365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 277 | 0.463987 |
8a045d9a56c4a8715b77c0b2cd2d5ff977fa98ed | 609 | py | Python | conf/feature_config.py | pupuwudi/nlp_xiaojiang | 182ac4522b6012a52de6e1d0db7e6a47cb716e5b | [
"MIT"
] | null | null | null | conf/feature_config.py | pupuwudi/nlp_xiaojiang | 182ac4522b6012a52de6e1d0db7e6a47cb716e5b | [
"MIT"
] | null | null | null | conf/feature_config.py | pupuwudi/nlp_xiaojiang | 182ac4522b6012a52de6e1d0db7e6a47cb716e5b | [
"MIT"
] | 2 | 2021-01-18T10:07:20.000Z | 2022-01-12T10:09:47.000Z | # -*- coding: UTF-8 -*-
# !/usr/bin/python
# @time :2019/5/10 9:13
# @author :Mo
# @function :path of FeatureProject
import pathlib
import sys
import os
# base dir
projectdir = str(pathlib.Path(os.path.abspath(__file__)).parent.parent)
sys.path.append(projectdir)
# path of BERT model
model_dir... | 22.555556 | 72 | 0.689655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 328 | 0.494721 |
8a1292fe9e365e4f3b12243aeeeb62b3fcd34222 | 1,067 | py | Python | MIT/600.1x - Introduction to Computer Science and Programming Using Python/Unit 4/Problem Set 4/get_word_score.py | henriqueumeda/-Python-study | 28e93a377afa4732037a29eb74d4bc7c9e24b62f | [
"MIT"
] | null | null | null | MIT/600.1x - Introduction to Computer Science and Programming Using Python/Unit 4/Problem Set 4/get_word_score.py | henriqueumeda/-Python-study | 28e93a377afa4732037a29eb74d4bc7c9e24b62f | [
"MIT"
] | null | null | null | MIT/600.1x - Introduction to Computer Science and Programming Using Python/Unit 4/Problem Set 4/get_word_score.py | henriqueumeda/-Python-study | 28e93a377afa4732037a29eb74d4bc7c9e24b62f | [
"MIT"
] | null | null | null | SCRABBLE_LETTER_VALUES = {
'a': 1, 'b': 3, 'c': 3, 'd': 2, 'e': 1, 'f': 4, 'g': 2, 'h': 4, 'i': 1, 'j': 8, 'k': 5, 'l': 1, 'm': 3, 'n': 1,
'o': 1, 'p': 3, 'q': 10, 'r': 1, 's': 1, 't': 1, 'u': 1, 'v': 4, 'w': 4, 'x': 8, 'y': 4, 'z': 10
}
def getWordScore(word, n):
"""
Returns the score for a word. Assu... | 35.566667 | 115 | 0.585754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 636 | 0.596064 |
8a15ab57e7398ab067062419a83d15fd9bf34d36 | 434 | py | Python | ex062.py | noahbarros/Python-Exercises | fafda898473bc984280e201ed11d8ad76cc8624a | [
"MIT"
] | 1 | 2021-07-13T21:41:00.000Z | 2021-07-13T21:41:00.000Z | ex062.py | noahbarros/Python-Exercises | fafda898473bc984280e201ed11d8ad76cc8624a | [
"MIT"
] | null | null | null | ex062.py | noahbarros/Python-Exercises | fafda898473bc984280e201ed11d8ad76cc8624a | [
"MIT"
] | null | null | null | primeiro = int(input('Digite o priemiro termo da PA: '))
razão = int(input('Digite a razão da PA: '))
termo = primeiro
cont = 1
total = 0
mais = 10
while mais != 0:
total += mais
while cont <= total:
print(f'{termo} ', end='')
termo += razão
cont += 1
print('Pausa')
mais = int(in... | 27.125 | 66 | 0.612903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.407745 |
8a19876a956cc7df8eee4ce39d6fc5531c4cfc7c | 3,401 | py | Python | src/api/datamanage/pro/lifecycle/data_trace/data_set_create.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 84 | 2021-06-30T06:20:23.000Z | 2022-03-22T03:05:49.000Z | src/api/datamanage/pro/lifecycle/data_trace/data_set_create.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 7 | 2021-06-30T06:21:16.000Z | 2022-03-29T07:36:13.000Z | src/api/datamanage/pro/lifecycle/data_trace/data_set_create.py | Chromico/bk-base | be822d9bbee544a958bed4831348185a75604791 | [
"MIT"
] | 40 | 2021-06-30T06:21:26.000Z | 2022-03-29T12:42:26.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-BASE 蓝鲸基础平台 is licensed under the MIT License.
License for BK-BASE 蓝鲸基础平台:
---------------------------------------------... | 44.168831 | 118 | 0.728021 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,039 | 0.576151 |
8a20fc9b93bd3fc7e19c79190d5875b049bc7526 | 4,136 | py | Python | build/lib/FinMesh/usgov/__init__.py | johnjdailey/FinMesh | 64048b02bfec1a24de840877b38e82f4fa813d22 | [
"MIT"
] | 1 | 2020-08-14T16:09:54.000Z | 2020-08-14T16:09:54.000Z | build/lib/FinMesh/usgov/__init__.py | johnjdailey/FinMesh | 64048b02bfec1a24de840877b38e82f4fa813d22 | [
"MIT"
] | null | null | null | build/lib/FinMesh/usgov/__init__.py | johnjdailey/FinMesh | 64048b02bfec1a24de840877b38e82f4fa813d22 | [
"MIT"
] | null | null | null | import os
import requests
import xmltodict
import csv
import json
# # # # # # # # # #
# FRED DATA BELOW #
# # # # # # # # # #
FRED_BASE_URL = 'https://api.stlouisfed.org/fred/'
GEOFRED_BASE_URL = 'https://api.stlouisfed.org/geofred/'
def append_fred_token(url):
token = os.getenv('FRED_TOKEN')
return f'{url}&... | 44 | 259 | 0.676499 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,869 | 0.451886 |
8a29eefe067ae42942e4915562e64419af3d1cde | 950 | py | Python | scripts_python3/exchange/deleteExchange.py | bcvsolutions/winrm-ad-connector | 9b45dae78d3ba24fe6b00e090f8763d3162e1570 | [
"Apache-2.0"
] | null | null | null | scripts_python3/exchange/deleteExchange.py | bcvsolutions/winrm-ad-connector | 9b45dae78d3ba24fe6b00e090f8763d3162e1570 | [
"Apache-2.0"
] | 2 | 2020-05-27T07:15:28.000Z | 2020-12-17T05:22:54.000Z | scripts_python3/exchange/deleteExchange.py | bcvsolutions/winrm-ad-connector | 9b45dae78d3ba24fe6b00e090f8763d3162e1570 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# All params from IdM is stored in environment and you can get them by os.environ["paramName"]
import sys, os
# this is needed for importing file winrm_wrapper from parent dir
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import winrm_wrapper
import codecs... | 35.185185 | 134 | 0.705263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 437 | 0.46 |
8a2f400a7655554fbc57b5f622cd3afad8069e45 | 427 | py | Python | gcp-python-fn/main.py | FuriKuri/faas-playground | 52618e21064e327d2874d2b73cfe5fb247d3dd6e | [
"MIT"
] | 1 | 2019-05-07T13:15:16.000Z | 2019-05-07T13:15:16.000Z | gcp-python-fn/main.py | FuriKuri/faas-playground | 52618e21064e327d2874d2b73cfe5fb247d3dd6e | [
"MIT"
] | null | null | null | gcp-python-fn/main.py | FuriKuri/faas-playground | 52618e21064e327d2874d2b73cfe5fb247d3dd6e | [
"MIT"
] | null | null | null | def hello_world(request):
request_json = request.get_json()
name = 'World'
if request_json and 'name' in request_json:
name = request_json['name']
headers = {
'Access-Control-Allow-Origin': 'https://furikuri.net',
'Access-Control-Allow-Methods': 'GET, POST',
'Access-Contr... | 35.583333 | 66 | 0.620609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 184 | 0.430913 |
8a30c3ee79ce2efcb14fdc2c9e26c3ab71e499c1 | 671 | py | Python | tests/test_i18n.py | vthriller/flask-kajiki | eadaa0aa45d23507066758b9e74091bddbc943c4 | [
"BSD-3-Clause"
] | null | null | null | tests/test_i18n.py | vthriller/flask-kajiki | eadaa0aa45d23507066758b9e74091bddbc943c4 | [
"BSD-3-Clause"
] | null | null | null | tests/test_i18n.py | vthriller/flask-kajiki | eadaa0aa45d23507066758b9e74091bddbc943c4 | [
"BSD-3-Clause"
] | null | null | null | from kajiki import i18n
from flask import request
from flask_kajiki import render_template
# N. B. settting i18n.gettext would affect tests from all modules,
# so we test for request path that only functions from this module could set
def gettext(s):
if request.path == '/test_i18n':
return s.upper()
r... | 27.958333 | 76 | 0.704918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 288 | 0.42921 |
8a3543c746387ad12029585c2e306e26ec984737 | 4,324 | py | Python | Deep_Q_Network/DQN_for_FrozenLake_Discrete_Domain.py | quangnguyendang/Reinforcement_Learning | 2551ce95068561c553500838ee6b976f001ba667 | [
"MIT"
] | null | null | null | Deep_Q_Network/DQN_for_FrozenLake_Discrete_Domain.py | quangnguyendang/Reinforcement_Learning | 2551ce95068561c553500838ee6b976f001ba667 | [
"MIT"
] | null | null | null | Deep_Q_Network/DQN_for_FrozenLake_Discrete_Domain.py | quangnguyendang/Reinforcement_Learning | 2551ce95068561c553500838ee6b976f001ba667 | [
"MIT"
] | null | null | null | # Credit to https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0
import gym
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
env = gym.make('FrozenLake-v0')
# NEURAL NETWORK IMPLEMENTATION
tf.reset_d... | 30.666667 | 155 | 0.586725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,371 | 0.548335 |
8a3651a34d3b1893e6f70ebe64b9db39d329cd63 | 8,496 | py | Python | testing/cross_language/util/supported_key_types.py | chanced/tink | 9cc3a01ac0165b033ed51dc9d0812a98b4b6e305 | [
"Apache-2.0"
] | null | null | null | testing/cross_language/util/supported_key_types.py | chanced/tink | 9cc3a01ac0165b033ed51dc9d0812a98b4b6e305 | [
"Apache-2.0"
] | null | null | null | testing/cross_language/util/supported_key_types.py | chanced/tink | 9cc3a01ac0165b033ed51dc9d0812a98b4b6e305 | [
"Apache-2.0"
] | 1 | 2022-01-02T20:54:04.000Z | 2022-01-02T20:54:04.000Z | # 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 t... | 37.263158 | 79 | 0.711982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,121 | 0.485052 |
8a43f4805ca2bfbefacf005fd91befea7f1c3e71 | 492 | py | Python | gen-cfg.py | magetron/secure-flow-prototype | c683939620fec889f882ea095d2b27e3e4bb98fe | [
"Apache-2.0"
] | null | null | null | gen-cfg.py | magetron/secure-flow-prototype | c683939620fec889f882ea095d2b27e3e4bb98fe | [
"Apache-2.0"
] | null | null | null | gen-cfg.py | magetron/secure-flow-prototype | c683939620fec889f882ea095d2b27e3e4bb98fe | [
"Apache-2.0"
] | null | null | null | from staticfg import CFGBuilder
userCfg = CFGBuilder().build_from_file('user.py', './auction/user.py')
bidCfg = CFGBuilder().build_from_file('bid.py', './auction/bid.py')
auctionCfg = CFGBuilder().build_from_file('auction.py','./auction/auction.py')
#auctionEventCfg = CFGBuilder().build_from_file('auction_event.py','... | 41 | 96 | 0.760163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 273 | 0.554878 |
8a4ccded7f4f9f9be895e48e8a31955a7046241e | 4,371 | py | Python | dddppp/settings.py | tysonclugg/dddppp | 22f52d671ca71c2df8d6ac566a1626e5f05b3159 | [
"MIT"
] | null | null | null | dddppp/settings.py | tysonclugg/dddppp | 22f52d671ca71c2df8d6ac566a1626e5f05b3159 | [
"MIT"
] | null | null | null | dddppp/settings.py | tysonclugg/dddppp | 22f52d671ca71c2df8d6ac566a1626e5f05b3159 | [
"MIT"
] | null | null | null | """
Django settings for dddppp project.
Generated by 'django-admin startproject' using Django 1.8.2.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.8/ref/settings/
"""
# Build paths... | 26.981481 | 77 | 0.695722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,561 | 0.585907 |
8a4fee7da31280c4ead726e734baac5bb3fc023e | 1,227 | py | Python | setup.py | dantas/wifi | e9cd6df7d3411f1532843999f6c33f45369c3fe4 | [
"BSD-2-Clause"
] | 1 | 2019-04-29T14:57:45.000Z | 2019-04-29T14:57:45.000Z | setup.py | dantas/wifi | e9cd6df7d3411f1532843999f6c33f45369c3fe4 | [
"BSD-2-Clause"
] | null | null | null | setup.py | dantas/wifi | e9cd6df7d3411f1532843999f6c33f45369c3fe4 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup
import os
__doc__ = """
Command line tool and library wrappers around iwlist and
/etc/network/interfaces.
"""
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
install_requires = [
'setuptools',
'pbkdf2',
]
try:
im... | 23.150943 | 70 | 0.625102 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 580 | 0.472698 |
8a50f54c898793f1acb00252a2b2f5ed4e326667 | 790 | py | Python | setup.py | skojaku/fastnode2vec | bb65f68469f00f489fa6744d35b8756200b4e285 | [
"MIT"
] | 61 | 2020-04-21T18:58:47.000Z | 2022-03-26T22:41:45.000Z | setup.py | skojaku/fastnode2vec | bb65f68469f00f489fa6744d35b8756200b4e285 | [
"MIT"
] | 17 | 2020-04-21T22:37:17.000Z | 2022-03-31T22:36:03.000Z | setup.py | skojaku/fastnode2vec | bb65f68469f00f489fa6744d35b8756200b4e285 | [
"MIT"
] | 6 | 2020-07-30T01:41:59.000Z | 2022-01-19T10:13:01.000Z | #!/usr/bin/env python3
import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name="fastnode2vec",
version="0.0.5",
author="Louis Abraham",
license="MIT",
author_email="[email protected]",
description="Fast ... | 29.259259 | 83 | 0.694937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 367 | 0.464557 |
8a54334c8ec0d2c98a16bb220c95973a631adeb1 | 3,810 | py | Python | unit_13/26-Data_Structures/4_Merge_Sort_and_Linked_Lists/3_linked_list_merge_sort.py | duliodenis/python_master_degree | 3ab76838ce2fc1606f28e988a3273dd27122a621 | [
"MIT"
] | 19 | 2019-03-14T01:39:32.000Z | 2022-02-03T00:36:43.000Z | unit_13/26-Data_Structures/4_Merge_Sort_and_Linked_Lists/3_linked_list_merge_sort.py | duliodenis/python_master_degree | 3ab76838ce2fc1606f28e988a3273dd27122a621 | [
"MIT"
] | 1 | 2020-04-10T01:01:16.000Z | 2020-04-10T01:01:16.000Z | unit_13/26-Data_Structures/4_Merge_Sort_and_Linked_Lists/3_linked_list_merge_sort.py | duliodenis/python_master_degree | 3ab76838ce2fc1606f28e988a3273dd27122a621 | [
"MIT"
] | 5 | 2019-01-02T20:46:05.000Z | 2020-07-08T22:47:48.000Z | #
# Data Structures: Linked List Merge Sort: The Conquer Step
# Python Techdegree
#
# Created by Dulio Denis on 3/24/19.
# Copyright (c) 2019 ddApps. All rights reserved.
# ------------------------------------------------
from linked_list import Node, LinkedList
def merge_sort(linked_list):
'''
Sorts a lin... | 32.288136 | 81 | 0.630971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,722 | 0.451969 |
8a5438fd129b5b6996b6b2555c75bb6bb382b7d5 | 5,639 | py | Python | nearpy/examples/example2.py | samyoo78/NearPy | 1b534b864d320d875508e95cd2b76b6d8c07a90b | [
"MIT"
] | 624 | 2015-01-02T21:45:28.000Z | 2022-03-02T11:04:27.000Z | nearpy/examples/example2.py | samyoo78/NearPy | 1b534b864d320d875508e95cd2b76b6d8c07a90b | [
"MIT"
] | 65 | 2015-02-06T09:47:46.000Z | 2021-09-26T01:45:26.000Z | nearpy/examples/example2.py | samyoo78/NearPy | 1b534b864d320d875508e95cd2b76b6d8c07a90b | [
"MIT"
] | 136 | 2015-01-07T04:45:41.000Z | 2021-11-25T17:46:07.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2013 Ole Krause-Sparmann
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy,... | 32.039773 | 90 | 0.662529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,668 | 0.473134 |
8a60852354e6415290eaf2e5371028a21ee46376 | 1,004 | py | Python | models/AI-Model-Zoo/VAI-1.3-Model-Zoo-Code/PyTorch/pt_personreid-res18_market1501_176_80_1.1G_1.3/code/core/data_manager.py | guochunhe/Vitis-AI | e86b6efae11f8703ee647e4a99004dc980b84989 | [
"Apache-2.0"
] | 1 | 2020-12-18T14:49:19.000Z | 2020-12-18T14:49:19.000Z | models/AI-Model-Zoo/VAI-1.3-Model-Zoo-Code/PyTorch/pt_personreid-res50_market1501_256_128_5.4G_1.3/code/core/data_manager.py | guochunhe/Vitis-AI | e86b6efae11f8703ee647e4a99004dc980b84989 | [
"Apache-2.0"
] | null | null | null | models/AI-Model-Zoo/VAI-1.3-Model-Zoo-Code/PyTorch/pt_personreid-res50_market1501_256_128_5.4G_1.3/code/core/data_manager.py | guochunhe/Vitis-AI | e86b6efae11f8703ee647e4a99004dc980b84989 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Xilinx Inc.
#
# 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, ... | 27.888889 | 74 | 0.737052 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 596 | 0.593625 |
8a62e622419e3b5175ed6a324e076188b956be4c | 2,313 | py | Python | azure-devops/azext_devops/vstsCompressed/service_hooks/v4_0/models/__init__.py | vijayraavi/azure-devops-cli-extension | 88f1420c5815cb09bea15b050f4c553e0f326dad | [
"MIT"
] | null | null | null | azure-devops/azext_devops/vstsCompressed/service_hooks/v4_0/models/__init__.py | vijayraavi/azure-devops-cli-extension | 88f1420c5815cb09bea15b050f4c553e0f326dad | [
"MIT"
] | 37 | 2020-04-27T07:45:19.000Z | 2021-04-05T07:27:15.000Z | azure-devops/azext_devops/vstsCompressed/service_hooks/v4_0/models/__init__.py | vijayraavi/azure-devops-cli-extension | 88f1420c5815cb09bea15b050f4c553e0f326dad | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 33.042857 | 94 | 0.685257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,056 | 0.45655 |
8a678b6dfe1f80688ee851169cd059181b03b309 | 5,922 | py | Python | electrum/dnssec.py | Jesusown/electrum | 0df05dd914c823acae1828cad3b20bdeb13150e9 | [
"MIT"
] | 5,905 | 2015-01-02T17:05:36.000Z | 2022-03-29T07:28:29.000Z | electrum/dnssec.py | Jesusown/electrum | 0df05dd914c823acae1828cad3b20bdeb13150e9 | [
"MIT"
] | 6,097 | 2015-01-01T21:20:25.000Z | 2022-03-31T23:55:01.000Z | electrum/dnssec.py | Jesusown/electrum | 0df05dd914c823acae1828cad3b20bdeb13150e9 | [
"MIT"
] | 2,202 | 2015-01-02T18:31:25.000Z | 2022-03-28T15:35:03.000Z | #!/usr/bin/env python
#
# Electrum - lightweight Bitcoin client
# Copyright (C) 2015 Thomas Voegtlin
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without... | 39.218543 | 418 | 0.700777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,763 | 0.466565 |
8a681bd50a01e317584f76158f59adbe05396fb6 | 61,870 | py | Python | specs/d3d11.py | ds-hwang/apitrace | b74347ebae0d033a013c4de3efb0e9165e9cea8f | [
"MIT"
] | 1 | 2017-06-07T15:28:36.000Z | 2017-06-07T15:28:36.000Z | specs/d3d11.py | jciehl/apitrace | 0e01acc36de14e9ca7c0ced258767ffb99ac96ea | [
"MIT"
] | null | null | null | specs/d3d11.py | jciehl/apitrace | 0e01acc36de14e9ca7c0ced258767ffb99ac96ea | [
"MIT"
] | 1 | 2021-05-21T18:27:29.000Z | 2021-05-21T18:27:29.000Z | ##########################################################################
#
# Copyright 2012 Jose Fonseca
# All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without res... | 50.016168 | 596 | 0.739227 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29,628 | 0.478875 |
8a69c6a560d7f1d6a12a9bb69281971b56733693 | 1,637 | py | Python | setup.py | xbabka01/filetype.py | faba42b86988bd21a50d5b20919ecff0c6a84957 | [
"MIT"
] | null | null | null | setup.py | xbabka01/filetype.py | faba42b86988bd21a50d5b20919ecff0c6a84957 | [
"MIT"
] | null | null | null | setup.py | xbabka01/filetype.py | faba42b86988bd21a50d5b20919ecff0c6a84957 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import codecs
from setuptools import find_packages, setup
setup(
name='filetype',
version='1.0.7',
description='Infer file type and MIME type of any file/buffer. '
'No external dependencies.',
long_description=codecs.open('README.rst', 'r',... | 38.069767 | 77 | 0.588882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 967 | 0.590715 |
8a69d4b012c5607f3bca22996d7b21d1f2aed261 | 2,049 | py | Python | demos/netmiko_textfsm.py | ryanaa08/NPA | 45173efa60713858bb8b1d884fe12c50fe69920c | [
"BSD-Source-Code"
] | 4 | 2019-01-15T16:15:26.000Z | 2021-12-05T16:03:15.000Z | demos/netmiko_textfsm.py | krishnakadiyala/NPAcourse | 74f097107839d990b44adcee69d4f949696a332c | [
"BSD-Source-Code"
] | null | null | null | demos/netmiko_textfsm.py | krishnakadiyala/NPAcourse | 74f097107839d990b44adcee69d4f949696a332c | [
"BSD-Source-Code"
] | 2 | 2019-07-04T16:38:19.000Z | 2020-01-31T15:38:27.000Z | # make sure templates are present and netmiko knows about them
# git clone https://github.com/networktocode/ntc-templates
# export NET_TEXTFSM=/home/ntc/ntc-templates/templates/
# see https://github.com/networktocode/ntc-templates/tree/master/templates
# for list of templates
from netmiko import ConnectHandler
import... | 35.947368 | 420 | 0.660322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,131 | 0.551977 |
8a6c4e202130d51c730ab01bd3f2f21e5ec32862 | 758 | py | Python | tools/data.py | seanys/2D-Irregular-Packing-Algorithm | cc10edff2bc2631fcbcb47acf7bb3215e5c5023c | [
"MIT"
] | 29 | 2020-02-07T06:41:25.000Z | 2022-03-16T18:04:07.000Z | tools/data.py | seanys/2D-Irregular-Packing-Algorithm | cc10edff2bc2631fcbcb47acf7bb3215e5c5023c | [
"MIT"
] | 6 | 2020-04-27T01:36:27.000Z | 2022-01-31T11:59:05.000Z | tools/data.py | seanys/2D-Irregular-Packing-Algorithm | cc10edff2bc2631fcbcb47acf7bb3215e5c5023c | [
"MIT"
] | 12 | 2020-05-05T05:34:06.000Z | 2022-03-26T07:32:46.000Z | from tools.geofunc import GeoFunc
import pandas as pd
import json
def getData(index):
'''报错数据集有（空心）：han,jakobs1,jakobs2 '''
'''形状过多暂时未处理：shapes、shirt、swim、trousers'''
name=["ga","albano","blaz1","blaz2","dighe1","dighe2","fu","han","jakobs1","jakobs2","mao","marques","shapes","shirts","swim","trousers"]
... | 36.095238 | 141 | 0.60686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 361 | 0.420746 |
8a6e9d6c995b4c34ef5a6722c4973c2c7fb333f1 | 1,065 | py | Python | projects/eyetracking/gen_adhd_sin.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | null | null | null | projects/eyetracking/gen_adhd_sin.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | null | null | null | projects/eyetracking/gen_adhd_sin.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | 1 | 2020-01-22T15:35:29.000Z | 2020-01-22T15:35:29.000Z | #!/usr/bin/env python3
import glob
import os
import pandas as pd
import dfs
SRC_DIR = f"{dfs.get_data_dir()}/adhd_sin_orig"
OUT_DIR = f"{dfs.get_data_dir()}/adhd_sin"
if __name__ == '__main__':
files = glob.glob(f"{SRC_DIR}/*.csv")
file_names = list(map(os.path.basename, files))
for file_name in file_names:
... | 35.5 | 107 | 0.613146 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 462 | 0.433803 |
8a73f2115b3d49a7048eebbbf6a7d009bf2bcb02 | 864 | py | Python | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
#
# module to make the MaxSumPtWMass jet combination
#
findTtSemiLepJetCombMaxSumPtWMass = cms.EDProducer("TtSemiLepJetCombMaxSumPtWMass",
## jet input
jets = cms.InputTag("selectedPatJets"),
## lepton input
leps = cms.InputTag("selectedPatMuons"),
## ma... | 36 | 83 | 0.706019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 0.52662 |
8a78745915eb3a4aaf90865a024b4d8bafd46ca7 | 5,151 | py | Python | research/gnn/sgcn/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 1 | 2021-11-18T08:17:44.000Z | 2021-11-18T08:17:44.000Z | research/gnn/sgcn/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | research/gnn/sgcn/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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 a... | 48.140187 | 117 | 0.644729 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,205 | 0.428072 |
8a790aaa3beecccbae1e5fe2d0bb1478dbadd597 | 1,841 | py | Python | VENV/lib/python3.6/site-packages/PyInstaller/hooks/hook-PyQt5.py | workingyifei/display-pattern-generator | b27be84c6221fa93833f283109870737b05bfbf6 | [
"MIT"
] | 3 | 2018-11-27T06:30:23.000Z | 2021-05-30T15:56:32.000Z | VENV/lib/python3.6/site-packages/PyInstaller/hooks/hook-PyQt5.py | workingyifei/display-pattern-generator | b27be84c6221fa93833f283109870737b05bfbf6 | [
"MIT"
] | 1 | 2018-11-15T02:00:31.000Z | 2021-12-06T02:20:32.000Z | VENV/lib/python3.6/site-packages/PyInstaller/hooks/hook-PyQt5.py | workingyifei/display-pattern-generator | b27be84c6221fa93833f283109870737b05bfbf6 | [
"MIT"
] | 1 | 2020-11-06T18:46:35.000Z | 2020-11-06T18:46:35.000Z | #-----------------------------------------------------------------------------
# Copyright (c) 2005-2017, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License with exception
# for distributing bootloader.
#
# The full license is in the file COPYING.txt, distributed with this s... | 42.813953 | 90 | 0.669745 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,053 | 0.571972 |
8a7ecd71a92cf19cd5b6422ac30a671d4195653c | 1,358 | py | Python | experiments/bst/setup.py | bigchaindb/privacy-protocols | d220f642c7c056e5ec179b47a8d0863dbc373d9d | [
"CC-BY-4.0"
] | 68 | 2017-08-02T14:22:59.000Z | 2022-02-19T05:27:42.000Z | experiments/bst/setup.py | bigchaindb/privacy-protocols | d220f642c7c056e5ec179b47a8d0863dbc373d9d | [
"CC-BY-4.0"
] | 6 | 2017-08-05T18:30:14.000Z | 2017-08-22T19:54:53.000Z | experiments/bst/setup.py | bigchaindb/privacy-protocols | d220f642c7c056e5ec179b47a8d0863dbc373d9d | [
"CC-BY-4.0"
] | 15 | 2017-08-22T16:04:26.000Z | 2022-03-13T10:36:02.000Z | """bst: BigchainDB Sharing Tools"""
from setuptools import setup, find_packages
install_requires = [
'base58~=0.2.2',
'PyNaCl~=1.1.0',
'bigchaindb-driver',
'click==6.7',
'colorama',
]
setup(
name='bst',
version='0.1.0',
description='bst: BigchainDB Sharing Tools',
long_descriptio... | 26.115385 | 74 | 0.594993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 806 | 0.59352 |
8a8aa73cf4c767bf7b906925d1382b404b94f301 | 1,834 | py | Python | Google/google_books/scrape_google_books.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | Google/google_books/scrape_google_books.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | Google/google_books/scrape_google_books.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | from parsel import Selector
import requests, json, re
params = {
"q": "richard branson",
"tbm": "bks",
"gl": "us",
"hl": "en"
}
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.87 Safari/537.36",
}
html = requests.get("ht... | 39.869565 | 135 | 0.657579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 773 | 0.421483 |
8a8bbdd35a1d135f6e6a32befca7b762678940d4 | 327 | py | Python | Python/Higher-Or-Lower/hol/__init__.py | AustinTSchaffer/DailyProgrammer | b16d9babb298ac5e879c514f9c4646b99c6860a8 | [
"MIT"
] | 1 | 2020-07-28T17:07:35.000Z | 2020-07-28T17:07:35.000Z | Python/Higher-Or-Lower/hol/__init__.py | AustinTSchaffer/DailyProgrammer | b16d9babb298ac5e879c514f9c4646b99c6860a8 | [
"MIT"
] | 5 | 2021-04-06T18:25:29.000Z | 2021-04-10T15:13:28.000Z | Python/Higher-Or-Lower/hol/__init__.py | AustinTSchaffer/DailyProgrammer | b16d9babb298ac5e879c514f9c4646b99c6860a8 | [
"MIT"
] | null | null | null | r"""
Contains classes and methods that can be used when simulating the game
Higher-or-Lower and performing statistical analysis on different games.
"""
from hol import (
cards,
constants,
)
from hol._hol import (
generate_all_games,
should_pick_higher,
is_a_winning_game,
generate_win_statist... | 17.210526 | 71 | 0.737003 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 153 | 0.46789 |
8a995f399ed25fbe111acb3f8ad5749b538eef0a | 433 | py | Python | python/re_user.py | seckcoder/lang-learn | 1e0d6f412bbd7f89b1af00293fd907ddb3c1b571 | [
"Unlicense"
] | 1 | 2017-10-14T04:23:45.000Z | 2017-10-14T04:23:45.000Z | python/re_user.py | seckcoder/lang-learn | 1e0d6f412bbd7f89b1af00293fd907ddb3c1b571 | [
"Unlicense"
] | null | null | null | python/re_user.py | seckcoder/lang-learn | 1e0d6f412bbd7f89b1af00293fd907ddb3c1b571 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
#-*- coding=utf-8 -*-
#
# Copyright 2012 Jike Inc. All Rights Reserved.
# Author: [email protected]
import re
from urlparse import urlparse
def parse1():
p = re.compile(r"/(?P<uid>\d+)/(?P<mid>\w+)")
o = urlparse("http://weibo.com/2827699110/yz62AlEjF")
m = p.search(o.path)
print m.... | 22.789474 | 57 | 0.637413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 224 | 0.517321 |
8a9d019bec9e50c7c8d759ea60e658149d43ef2a | 2,561 | py | Python | audiomentations/core/utils.py | jeongyoonlee/audiomentations | 7f0112ae310989430e0ef7eb32c4116114810966 | [
"MIT"
] | 1 | 2021-02-03T19:12:04.000Z | 2021-02-03T19:12:04.000Z | audiomentations/core/utils.py | jeongyoonlee/audiomentations | 7f0112ae310989430e0ef7eb32c4116114810966 | [
"MIT"
] | null | null | null | audiomentations/core/utils.py | jeongyoonlee/audiomentations | 7f0112ae310989430e0ef7eb32c4116114810966 | [
"MIT"
] | 1 | 2021-07-08T07:33:10.000Z | 2021-07-08T07:33:10.000Z | import os
from pathlib import Path
import numpy as np
AUDIO_FILENAME_ENDINGS = (".aiff", ".flac", ".m4a", ".mp3", ".ogg", ".opus", ".wav")
def get_file_paths(
root_path, filename_endings=AUDIO_FILENAME_ENDINGS, traverse_subdirectories=True
):
"""Return a list of paths to all files with the given filename ex... | 31.617284 | 132 | 0.689184 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,193 | 0.465834 |
8a9ed7740bcb98fbae13ca6bc7e08c9cb1a32fd1 | 4,384 | py | Python | semantic-segmentation/deeplabv3plus/dataset_utils.py | shikisawamura/nnabla-examples | baf4e4cc620dedbf4368683325c0fb868676850d | [
"Apache-2.0"
] | 1 | 2020-08-03T12:49:25.000Z | 2020-08-03T12:49:25.000Z | semantic-segmentation/deeplabv3plus/dataset_utils.py | takuseno/nnabla-examples | 070d25078ad3d5458744dbfd390cdd926e20e573 | [
"Apache-2.0"
] | null | null | null | semantic-segmentation/deeplabv3plus/dataset_utils.py | takuseno/nnabla-examples | 070d25078ad3d5458744dbfd390cdd926e20e573 | [
"Apache-2.0"
] | 1 | 2020-04-25T06:11:28.000Z | 2020-04-25T06:11:28.000Z | # Copyright (c) 2017 Sony Corporation. 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 applicabl... | 38.79646 | 334 | 0.619297 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,866 | 0.425639 |
8aa2d7e8d015afdc94844a8b1cce4b350015d579 | 3,637 | py | Python | Python/Examples/Macros/SettingsAxesOptimization.py | archformco/RoboDK-API | b3d0cad6a83f505811e2be273453ccb4579324f1 | [
"MIT"
] | 161 | 2018-03-23T01:27:08.000Z | 2022-03-23T12:18:35.000Z | Python/Examples/Macros/SettingsAxesOptimization.py | OxideDevX/RoboDK-API | 50357c38b2fcf58cf82d9b7bf61021cb900fd358 | [
"MIT"
] | 26 | 2018-11-19T10:18:58.000Z | 2022-03-28T18:37:11.000Z | Python/Examples/Macros/SettingsAxesOptimization.py | OxideDevX/RoboDK-API | 50357c38b2fcf58cf82d9b7bf61021cb900fd358 | [
"MIT"
] | 85 | 2018-03-22T19:25:35.000Z | 2022-03-30T04:46:59.000Z | # This example shows how to read or modify the Axes Optimization settings using the RoboDK API and a JSON string.
# You can select "Axes optimization" in a robot machining menu or the robot parameters to view the axes optimization settings.
# It is possible to update the axes optimization settings attached to a robot o... | 28.414063 | 133 | 0.62854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,118 | 0.582348 |
8aaa6ef648c6ab0a8f38e3df5ebf0a4f712b233a | 2,313 | py | Python | infrastructure-provisioning/src/general/api/install_libs.py | roolrd/incubator-datalab | 2045207ecd1b381193f1a1ec143cc968716ad989 | [
"Apache-2.0"
] | 66 | 2020-10-03T08:36:48.000Z | 2022-03-20T23:16:20.000Z | infrastructure-provisioning/src/general/api/install_libs.py | roolrd/incubator-datalab | 2045207ecd1b381193f1a1ec143cc968716ad989 | [
"Apache-2.0"
] | 48 | 2019-02-28T12:11:33.000Z | 2020-09-15T08:27:08.000Z | infrastructure-provisioning/src/general/api/install_libs.py | roolrd/incubator-datalab | 2045207ecd1b381193f1a1ec143cc968716ad989 | [
"Apache-2.0"
] | 44 | 2019-01-14T10:31:55.000Z | 2020-09-22T17:53:33.000Z | #!/usr/bin/python3
# *****************************************************************************
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ... | 35.584615 | 105 | 0.565932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,321 | 0.57112 |
8aab4acf40735c2dc3547887c3be02d0b2808eff | 1,584 | py | Python | model_zoo/official/nlp/bert_thor/src/evaluation_config.py | GuoSuiming/mindspore | 48afc4cfa53d970c0b20eedfb46e039db2a133d5 | [
"Apache-2.0"
] | 55 | 2020-12-17T10:26:06.000Z | 2022-03-28T07:18:26.000Z | model_zoo/official/nlp/bert_thor/src/evaluation_config.py | forwhat461/mindspore | 59a277756eb4faad9ac9afcc7fd526e8277d4994 | [
"Apache-2.0"
] | 1 | 2020-12-29T06:46:38.000Z | 2020-12-29T06:46:38.000Z | model_zoo/official/nlp/bert_thor/src/evaluation_config.py | forwhat461/mindspore | 59a277756eb4faad9ac9afcc7fd526e8277d4994 | [
"Apache-2.0"
] | 14 | 2021-01-29T02:39:47.000Z | 2022-03-23T05:00:26.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# 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... | 28.8 | 78 | 0.693813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 802 | 0.506313 |
8aad8de20813d57dc973493fe2b63ad495089392 | 549 | py | Python | setup.py | swfrench/nginx-access-tailer | 5e060396ca749935c622e8e9c50b659b39e3675b | [
"BSD-3-Clause"
] | null | null | null | setup.py | swfrench/nginx-access-tailer | 5e060396ca749935c622e8e9c50b659b39e3675b | [
"BSD-3-Clause"
] | null | null | null | setup.py | swfrench/nginx-access-tailer | 5e060396ca749935c622e8e9c50b659b39e3675b | [
"BSD-3-Clause"
] | null | null | null | """TODO."""
from setuptools import setup
setup(
name='nginx-access-tailer',
version='0.1',
author='swfrench',
url='https://github.com/swfrench/nginx-tailer',
packages=['nginx_access_tailer',],
license='BSD three-clause license',
entry_points={
'console_scripts': ['nginx-access-tail... | 24.954545 | 87 | 0.626594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 297 | 0.540984 |
8aaee662db93c29bfc4e01c664b5f8c132a76382 | 1,331 | py | Python | setup.py | richardARPANET/persistent-celery-beat-scheduler | d2cbdd12394eec282ccb97ac5ff894353c2e4ffd | [
"Apache-2.0"
] | 4 | 2018-04-04T13:03:08.000Z | 2018-04-16T18:50:45.000Z | setup.py | richardARPANET/persistent-celery-beat-scheduler | d2cbdd12394eec282ccb97ac5ff894353c2e4ffd | [
"Apache-2.0"
] | null | null | null | setup.py | richardARPANET/persistent-celery-beat-scheduler | d2cbdd12394eec282ccb97ac5ff894353c2e4ffd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*
import os
from setuptools import find_packages, setup
# allow setup.py to be run from any path
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
with open('requirements.txt') as f:
install_requires = f.read().splitlines()
setup(
name... | 31.690476 | 90 | 0.643877 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 710 | 0.533434 |
8ab2d6d56bce4e65f9e2921fdc0ec8fdc7ecb7fb | 855 | py | Python | venv/Lib/site-packages/patsy/test_regressions.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 710 | 2015-01-07T20:08:59.000Z | 2022-03-08T14:30:13.000Z | venv/Lib/site-packages/patsy/test_regressions.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 142 | 2015-01-07T02:20:27.000Z | 2021-11-15T04:23:02.000Z | venv/Lib/site-packages/patsy/test_regressions.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 101 | 2015-01-15T16:35:12.000Z | 2022-02-19T06:50:02.000Z | # This file is part of Patsy
# Copyright (C) 2013 Nathaniel Smith <[email protected]>
# See file LICENSE.txt for license information.
# Regression tests for fixed bugs (when not otherwise better covered somewhere
# else)
from patsy import (EvalEnvironment, dmatrix, build_design_matrices,
PatsyError, Or... | 34.2 | 78 | 0.645614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 351 | 0.410526 |
8ab404c67e6f07e674ae9c5b07f6e6e0e0f914ac | 7,764 | py | Python | skimage/io/_plugins/pil_plugin.py | smheidrich/scikit-image | e9cf8b850c4c2800cc221be6f1dfff6a2a32a4eb | [
"BSD-3-Clause"
] | 3 | 2019-02-28T16:05:36.000Z | 2020-04-03T17:29:07.000Z | Lib/site-packages/skimage/io/_plugins/pil_plugin.py | caiyongji/Anaconda-py36.5-tensorflow-built-env | f4eb40b5ca3f49dfc929ff3ad2b4bb877e9663e2 | [
"PSF-2.0"
] | 26 | 2020-03-24T18:07:06.000Z | 2022-03-12T00:12:27.000Z | Lib/site-packages/skimage/io/_plugins/pil_plugin.py | caiyongji/Anaconda-py36.5-tensorflow-built-env | f4eb40b5ca3f49dfc929ff3ad2b4bb877e9663e2 | [
"PSF-2.0"
] | 3 | 2019-12-31T23:21:40.000Z | 2020-04-03T17:29:08.000Z | __all__ = ['imread', 'imsave']
import numpy as np
from PIL import Image
from ...util import img_as_ubyte, img_as_uint
def imread(fname, dtype=None, img_num=None, **kwargs):
"""Load an image from file.
Parameters
----------
fname : str or file
File name or file-like-object.
dtype : numpy ... | 29.861538 | 93 | 0.579341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,314 | 0.426842 |
8ac004a4f19bb41d9cfa8a39529011d30c5a08dc | 5,455 | py | Python | main.py | jonodrew/matchex | 531e7cd1c328cb9dc34b601a06648bd2c3e709e6 | [
"MIT"
] | null | null | null | main.py | jonodrew/matchex | 531e7cd1c328cb9dc34b601a06648bd2c3e709e6 | [
"MIT"
] | null | null | null | main.py | jonodrew/matchex | 531e7cd1c328cb9dc34b601a06648bd2c3e709e6 | [
"MIT"
] | null | null | null | from __future__ import division
from timeit import default_timer as timer
import csv
import numpy as np
import itertools
from munkres import Munkres, print_matrix, make_cost_matrix
import sys
from classes import *
from functions import *
from math import sqrt
import Tkinter as tk
import tkFileDialog as filedialog
root... | 30.646067 | 88 | 0.698075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,710 | 0.496792 |
8ac00891cba917dcea99bd7701a43788bba03334 | 3,142 | py | Python | pip_info/setup.py | 95616ARG/SyReNN | 19abf589e84ee67317134573054c648bb25c244d | [
"MIT"
] | 36 | 2019-08-19T06:17:52.000Z | 2022-03-11T09:02:40.000Z | pip_info/setup.py | 95616ARG/SyReNN | 19abf589e84ee67317134573054c648bb25c244d | [
"MIT"
] | 8 | 2020-04-09T20:59:04.000Z | 2022-03-11T23:56:50.000Z | pip_info/setup.py | 95616ARG/SyReNN | 19abf589e84ee67317134573054c648bb25c244d | [
"MIT"
] | 4 | 2021-01-13T11:17:55.000Z | 2021-06-28T19:36:04.000Z | """Setup script for PySyReNN.
Adapted from:
https://hynek.me/articles/sharing-your-labor-of-love-pypi-quick-and-dirty/
"""
import codecs
import os
import re
from setuptools import setup, find_packages
###################################################################
NAME = "pysyrenn"
PACKAGES = [
"syrenn_prot... | 30.803922 | 77 | 0.595799 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,515 | 0.482177 |
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.529412 |
8ad1153bc4951b73c09bcd9a5a044f2aeefb38fb | 13,832 | py | Python | gym/gym/benchmarks/__init__.py | youngwoon/DnC-RL-Tensorflow | 02dc2750fe301a01e3bd68b1e56fc7fd754c2f3f | [
"MIT"
] | 9 | 2019-02-01T22:45:57.000Z | 2022-01-08T16:13:24.000Z | gym/gym/benchmarks/__init__.py | youngwoon/DnC-RL-Tensorflow | 02dc2750fe301a01e3bd68b1e56fc7fd754c2f3f | [
"MIT"
] | null | null | null | gym/gym/benchmarks/__init__.py | youngwoon/DnC-RL-Tensorflow | 02dc2750fe301a01e3bd68b1e56fc7fd754c2f3f | [
"MIT"
] | 1 | 2020-04-07T20:09:48.000Z | 2020-04-07T20:09:48.000Z | # EXPERIMENTAL: all may be removed soon
from gym.benchmarks import scoring
from gym.benchmarks.registration import benchmark_spec, register_benchmark, registry, register_benchmark_view # imports used elsewhere
register_benchmark(
id='Atari200M',
scorer=scoring.TotalReward(),
name='Atari200M',
view_gr... | 28.286299 | 135 | 0.510049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,577 | 0.403195 |
8ad19946c7489c1b3a99e589e195e1b73244786f | 9,538 | py | Python | hypnettorch/data/timeseries/preprocess_audioset.py | pennfranc/hypnettorch | 69d4c455028289ebe3d040af0955d909a9fef3ae | [
"Apache-2.0"
] | 31 | 2021-10-20T19:38:41.000Z | 2022-03-28T08:23:32.000Z | hypnettorch/data/timeseries/preprocess_audioset.py | pennfranc/hypnettorch | 69d4c455028289ebe3d040af0955d909a9fef3ae | [
"Apache-2.0"
] | 2 | 2022-02-14T08:25:43.000Z | 2022-03-26T18:10:52.000Z | hypnettorch/data/timeseries/preprocess_audioset.py | pennfranc/hypnettorch | 69d4c455028289ebe3d040af0955d909a9fef3ae | [
"Apache-2.0"
] | 5 | 2021-11-04T10:10:29.000Z | 2022-03-21T09:00:22.000Z | #!/usr/bin/env python3
# Copyright 2020 Benjamin Ehret
#
# 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 ... | 32.889655 | 80 | 0.68463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,020 | 0.526316 |
76d2dd0a16c26b25219d0d5220bf5e490de12769 | 1,627 | py | Python | run.py | Bioconductor/bioc_git_transition | 9ca29f9e8058b755163e12bf9324ec1063d0182d | [
"MIT"
] | 16 | 2017-03-15T18:00:35.000Z | 2018-07-30T14:44:53.000Z | run.py | Bioconductor/bioc_git_transition | 9ca29f9e8058b755163e12bf9324ec1063d0182d | [
"MIT"
] | 40 | 2017-03-29T20:04:25.000Z | 2019-10-21T16:56:15.000Z | run.py | Bioconductor/bioc_git_transition | 9ca29f9e8058b755163e12bf9324ec1063d0182d | [
"MIT"
] | 4 | 2017-05-08T11:39:07.000Z | 2017-08-17T14:18:03.000Z | """Bioconductor run git transition code.
This module assembles the classes for the SVN --> Git transition
can be run in a sequential manner.
It runs the following aspects fo the Bioconductor transition.
Note: Update the SVN dump
1. Run Bioconductor Software package transition
2. Run Bioconductor Experiment Data pac... | 30.12963 | 69 | 0.754149 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 770 | 0.473264 |
76d6a858fdb2f760a40ddaceed8b3a0b06e85a87 | 14,566 | py | Python | layouts/layout_simulation_procedure.py | KEHUIYAO/coral-sampling-tool | 731cc22fbf5e4045e894b894547ad52c270e3fb1 | [
"MIT"
] | 5 | 2022-03-29T04:41:22.000Z | 2022-03-29T12:17:35.000Z | layouts/layout_simulation_procedure.py | KEHUIYAO/coral-sampling-tool | 731cc22fbf5e4045e894b894547ad52c270e3fb1 | [
"MIT"
] | null | null | null | layouts/layout_simulation_procedure.py | KEHUIYAO/coral-sampling-tool | 731cc22fbf5e4045e894b894547ad52c270e3fb1 | [
"MIT"
] | null | null | null | import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
def generate_simulation_procedure():
return html.Div([
# instruction button to notify the user how to use the simulation tool
dcc.Markdown(children='''There are three panels on the right:... | 49.376271 | 1,301 | 0.506316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,650 | 0.456543 |
76d787aa0fb3effb59ce8288a064c7de0d40a573 | 524 | py | Python | configs/HDR/hdr/retinanet_r50_fpn_1x_coco_hdr_minmax_glob_gamma_2.py | ismailkocdemir/mmdetection | 4ac7e76dc66be7c97a8ca2c5f8a8e71434e3d823 | [
"Apache-2.0"
] | null | null | null | configs/HDR/hdr/retinanet_r50_fpn_1x_coco_hdr_minmax_glob_gamma_2.py | ismailkocdemir/mmdetection | 4ac7e76dc66be7c97a8ca2c5f8a8e71434e3d823 | [
"Apache-2.0"
] | null | null | null | configs/HDR/hdr/retinanet_r50_fpn_1x_coco_hdr_minmax_glob_gamma_2.py | ismailkocdemir/mmdetection | 4ac7e76dc66be7c97a8ca2c5f8a8e71434e3d823 | [
"Apache-2.0"
] | null | null | null | _base_ = [
'../retinanet_r50_fpn_1x_coco.py',
'../../_base_/datasets/hdr_detection_minmax_glob_gamma.py',
]
# optimizer
# lr is set for a batch size of 8
optimizer = dict(type='SGD', lr=0.0005, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=None) # dict(grad_clip=dict(max_norm=35, norm_t... | 26.2 | 88 | 0.694656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.45229 |
76e62dfaead6e340b719c28d88044ea601c31718 | 1,309 | py | Python | setup.py | awesome-archive/webspider | 072e9944db8fe05cbb47f8ea6d1a327c2a8929b1 | [
"MIT"
] | null | null | null | setup.py | awesome-archive/webspider | 072e9944db8fe05cbb47f8ea6d1a327c2a8929b1 | [
"MIT"
] | null | null | null | setup.py | awesome-archive/webspider | 072e9944db8fe05cbb47f8ea6d1a327c2a8929b1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from setuptools import find_packages, setup
from app import __version__
# get the dependencies and installs
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, 'requirements.txt')) as f:
all_requirements = f.read().split('\n')
set... | 34.447368 | 86 | 0.6822 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 690 | 0.52712 |
76f7e1b302002b518c986240747a14b0f7bf282f | 4,291 | py | Python | src/manifest.py | silent1mezzo/lightsaber | e470be7fb84b810fe846ff0ede78d06bf69cd5e3 | [
"MIT"
] | 13 | 2020-08-12T12:04:19.000Z | 2022-03-12T03:53:07.000Z | src/manifest.py | silent1mezzo/lightsaber | e470be7fb84b810fe846ff0ede78d06bf69cd5e3 | [
"MIT"
] | 46 | 2020-09-03T06:00:18.000Z | 2022-03-25T10:03:53.000Z | src/manifest.py | silent1mezzo/lightsaber | e470be7fb84b810fe846ff0ede78d06bf69cd5e3 | [
"MIT"
] | 3 | 2021-08-11T19:12:37.000Z | 2021-11-09T15:19:59.000Z | MANIFEST = {
"hilt": {
"h1": {
"offsets": {"blade": 0, "button": {"x": (8, 9), "y": (110, 111)}},
"colours": {
"primary": (216, 216, 216), # d8d8d8
"secondary": (141, 141, 141), # 8d8d8d
"tertiary": (180, 97, 19), # b46113
... | 37.313043 | 89 | 0.381496 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,843 | 0.429504 |
76fb80b4170accbe860db8c0999717d64544977e | 5,741 | py | Python | ament_tools/setup_arguments.py | richmattes/ament_tools | 2a25cdcc273fcd73e81e8a47fe892a0b5963307d | [
"Apache-2.0"
] | 1 | 2020-05-19T14:33:49.000Z | 2020-05-19T14:33:49.000Z | ros2_mod_ws/install/lib/python3.7/site-packages/ament_tools/setup_arguments.py | mintforpeople/robobo-ros2-ios-port | 1a5650304bd41060925ebba41d6c861d5062bfae | [
"Apache-2.0"
] | null | null | null | ros2_mod_ws/install/lib/python3.7/site-packages/ament_tools/setup_arguments.py | mintforpeople/robobo-ros2-ios-port | 1a5650304bd41060925ebba41d6c861d5062bfae | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 Open Source Robotics Foundation, Inc.
#
# 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... | 35.006098 | 79 | 0.656854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,655 | 0.462463 |
0a00e63d1006dbef16f6c53de45b2f52bfe52dea | 7,268 | py | Python | model/resnet.py | DrMMZ/RetinaNet | 0b8491076f2ad344e101f724a2f5b8305adb2d52 | [
"MIT"
] | 7 | 2021-07-07T02:59:58.000Z | 2021-12-09T04:48:49.000Z | model/resnet.py | DrMMZ/ResFPN | 3acd6c629419a9f66da5386f3fd3deb9e8c929ff | [
"MIT"
] | 3 | 2021-11-25T07:21:03.000Z | 2022-01-17T18:56:29.000Z | model/resnet.py | DrMMZ/RetinaNet | 0b8491076f2ad344e101f724a2f5b8305adb2d52 | [
"MIT"
] | 2 | 2021-12-09T01:48:36.000Z | 2022-01-08T15:54:58.000Z | """
Residual Networks (ResNet)
"""
# adapted from
# https://github.com/fchollet/deep-learning-models/blob/master/resnet50.py
import tensorflow as tf
def identity_block(
input_tensor,
filters,
stage,
block,
train_bn=False
):
"""
Builds an identity shortcut... | 35.802956 | 81 | 0.624381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,116 | 0.428729 |
0a066d9e3ce3fc69b55dd82dd4922f5e05e9b7a2 | 2,167 | py | Python | take_snapshot.py | ITCave/sniff-for-changes-in-directory | 59a06c1ca85033273845e8266038bfeacfc9f64d | [
"MIT"
] | null | null | null | take_snapshot.py | ITCave/sniff-for-changes-in-directory | 59a06c1ca85033273845e8266038bfeacfc9f64d | [
"MIT"
] | null | null | null | take_snapshot.py | ITCave/sniff-for-changes-in-directory | 59a06c1ca85033273845e8266038bfeacfc9f64d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Filename : take_snapshot.py
# @Date : 2019-07-15-13-44
# @Project: ITC-sniff-for-changes-in-directory
# @Author: Piotr Wołoszyn
# @Website: http://itcave.eu
# @Email: [email protected]
# @License: MIT
# @Copyright (C) 2019 ITGO Piotr Wołoszyn
# Generic imports
import os
import pickle
import... | 28.513158 | 113 | 0.662206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,089 | 0.502075 |
0a14fdb015437094dc2620963de3edb83ccea376 | 1,706 | py | Python | backend/ibutsu_server/controllers/health_controller.py | rsnyman/ibutsu-server | 3d190a3ab2f3cd206b7c5509ba21f95ce5bbdfcc | [
"MIT"
] | 10 | 2020-07-07T07:00:00.000Z | 2022-03-30T12:21:44.000Z | backend/ibutsu_server/controllers/health_controller.py | rsnyman/ibutsu-server | 3d190a3ab2f3cd206b7c5509ba21f95ce5bbdfcc | [
"MIT"
] | 133 | 2020-07-06T20:10:45.000Z | 2022-03-31T15:19:19.000Z | backend/ibutsu_server/controllers/health_controller.py | rsnyman/ibutsu-server | 3d190a3ab2f3cd206b7c5509ba21f95ce5bbdfcc | [
"MIT"
] | 9 | 2020-07-06T17:33:29.000Z | 2022-03-07T00:08:00.000Z | from flask import current_app
from sqlalchemy.exc import InterfaceError
from sqlalchemy.exc import OperationalError
try:
from ibutsu_server.db.model import Result
IS_CONNECTED = True
except ImportError:
IS_CONNECTED = False
def get_health(token_info=None, user=None):
"""Get a health report
:rty... | 32.188679 | 97 | 0.649472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 732 | 0.429074 |
0a1c4786888ba534eda7784354ef48e759ceac1e | 40 | py | Python | version.py | XioNoX/ansible-junos-stdlib-old | 92f33b3bbe6d2cc36d9f2028bb7c792f25ddce80 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | version.py | XioNoX/ansible-junos-stdlib-old | 92f33b3bbe6d2cc36d9f2028bb7c792f25ddce80 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | version.py | XioNoX/ansible-junos-stdlib-old | 92f33b3bbe6d2cc36d9f2028bb7c792f25ddce80 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | VERSION = "1.4.0"
DATE = "2016-Sept-21"
| 13.333333 | 21 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0.525 |
0a1e3877d30a492ceb0b5445e7d1d835bd228d55 | 7,409 | py | Python | hw3 cnn and vis/gradcam.py | mtang1001/ML-Exploration | 6fec422eca127210e948945e6d15526947bfae8e | [
"Apache-2.0"
] | null | null | null | hw3 cnn and vis/gradcam.py | mtang1001/ML-Exploration | 6fec422eca127210e948945e6d15526947bfae8e | [
"Apache-2.0"
] | null | null | null | hw3 cnn and vis/gradcam.py | mtang1001/ML-Exploration | 6fec422eca127210e948945e6d15526947bfae8e | [
"Apache-2.0"
] | null | null | null | import torch
import torchvision
import matplotlib
import matplotlib.pyplot as plt
from PIL import Image
from captum.attr import GuidedGradCam, GuidedBackprop
from captum.attr import LayerActivation, LayerConductance, LayerGradCam
from data_utils import *
from image_utils import *
from captum_utils import *
import nump... | 41.623596 | 137 | 0.626535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,626 | 0.489405 |
0a1e494933ae306f17bb20205df33acd66dcd6cb | 3,713 | py | Python | src/genotypes.py | k8lion/admmdarts | 4953e401cb74ba9f8da3ed0b9d4c5e88da9fc776 | [
"Apache-2.0"
] | null | null | null | src/genotypes.py | k8lion/admmdarts | 4953e401cb74ba9f8da3ed0b9d4c5e88da9fc776 | [
"Apache-2.0"
] | null | null | null | src/genotypes.py | k8lion/admmdarts | 4953e401cb74ba9f8da3ed0b9d4c5e88da9fc776 | [
"Apache-2.0"
] | null | null | null | from collections import namedtuple
Genotype = namedtuple('Genotype', 'normal normal_concat reduce reduce_concat')
PRIMITIVES = [
'none',
'max_pool_3x3',
'avg_pool_3x3',
'skip_connect',
'sep_conv_3x3',
'sep_conv_5x5',
'dil_conv_3x3',
'dil_conv_5x5'
]
CRBPRIMITIVES = [
'max_pool_3x3... | 34.700935 | 116 | 0.546458 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,711 | 0.460813 |
0a277a87fbb9f9430d9ecdf658e9964b1157dc17 | 3,951 | py | Python | advanced-workflows/task-graphs-lab/exercise/plugins/lab/plugin/workflows.py | jrzeszutek/cloudify-training-labs | 5477750d269cb703ce47e35a1c13749fc88f3f6f | [
"Apache-2.0"
] | 6 | 2015-07-06T01:10:08.000Z | 2016-12-21T15:42:07.000Z | advanced-workflows/task-graphs-lab/exercise/plugins/lab/plugin/workflows.py | jrzeszutek/cloudify-training-labs | 5477750d269cb703ce47e35a1c13749fc88f3f6f | [
"Apache-2.0"
] | 4 | 2015-08-25T06:32:36.000Z | 2016-09-07T07:01:34.000Z | advanced-workflows/task-graphs-lab/exercise/plugins/lab/plugin/workflows.py | jrzeszutek/cloudify-training-labs | 5477750d269cb703ce47e35a1c13749fc88f3f6f | [
"Apache-2.0"
] | 14 | 2015-03-28T05:45:58.000Z | 2017-02-14T02:22:09.000Z | '''Copyright Gigaspaces, 2017, All Rights Reserved'''
from cloudify.plugins import lifecycle
OP_START = 'hacker.interfaces.lifecycle.start'
OP_STOP = 'hacker.interfaces.lifecycle.stop'
OP_SS_C = 'hacker.interfaces.lifecycle.create_snapshots'
OP_SS_D = 'hacker.interfaces.lifecycle.delete_snapshots'
REQUIRED_OPS = set([... | 37.628571 | 77 | 0.679069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,948 | 0.49304 |
0a2ad964a50ee086e447a623b3863c7fbb9ef26a | 1,977 | py | Python | src/com/python/email/send_mail.py | Leeo1124/pythonDemo | 72e2209c095301a3f1f61edfe03ea69c3c05be40 | [
"Apache-2.0"
] | null | null | null | src/com/python/email/send_mail.py | Leeo1124/pythonDemo | 72e2209c095301a3f1f61edfe03ea69c3c05be40 | [
"Apache-2.0"
] | null | null | null | src/com/python/email/send_mail.py | Leeo1124/pythonDemo | 72e2209c095301a3f1f61edfe03ea69c3c05be40 | [
"Apache-2.0"
] | null | null | null | '''
Created on 2016年8月10日
@author: Administrator
'''
from email import encoders
from email.header import Header
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.mime.multipart import MIMEBase
from email.utils import parseaddr, formataddr
import smtplib
def _format_addr(s)... | 29.073529 | 83 | 0.676277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,115 | 0.505211 |
0a33cb634cfe076d601a3145a01487981499f068 | 22,712 | py | Python | Scripts/calc_Utilities.py | zmlabe/ThicknessSensitivity | 6defdd897a61d7d1a02f34a9f4ec92b2b17b3075 | [
"MIT"
] | 1 | 2017-10-22T02:22:14.000Z | 2017-10-22T02:22:14.000Z | Scripts/calc_Utilities.py | zmlabe/ThicknessSensitivity | 6defdd897a61d7d1a02f34a9f4ec92b2b17b3075 | [
"MIT"
] | null | null | null | Scripts/calc_Utilities.py | zmlabe/ThicknessSensitivity | 6defdd897a61d7d1a02f34a9f4ec92b2b17b3075 | [
"MIT"
] | 4 | 2018-04-05T17:55:36.000Z | 2022-03-31T07:05:01.000Z | """
Functions are useful untilities for SITperturb experiments
Notes
-----
Author : Zachary Labe
Date : 13 August 2017
Usage
-----
[1] calcDecJan(varx,vary,lat,lon,level,levsq)
[2] calcDecJanFeb(varx,vary,lat,lon,level,levsq)
[3] calc_indttest(varx,vary)
[4] calc_weightedAve(var,lats)
... | 36.514469 | 95 | 0.468739 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9,562 | 0.421011 |
0a3cda3b610042fefd30969a702f9d925c74876f | 4,421 | py | Python | ttl2json.py | the-norman-sicily-project/genealogical-trees | 32fa4f25861ae34543b0a6b95e54842c0018331b | [
"MIT"
] | 1 | 2021-05-18T20:39:30.000Z | 2021-05-18T20:39:30.000Z | ttl2json.py | the-norman-sicily-project/genealogical-trees | 32fa4f25861ae34543b0a6b95e54842c0018331b | [
"MIT"
] | null | null | null | ttl2json.py | the-norman-sicily-project/genealogical-trees | 32fa4f25861ae34543b0a6b95e54842c0018331b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import json
import rdflib
import rdflib.plugins.sparql as sparql
RELS_TO_DRAW = ['isWifeOf', 'isMotherOf', 'isFatherOf', 'isHusbandOf', 'isSpouseOf']
RELS_TO_INFER = ['hasGrandParent', 'isGrandParentOf', 'hasGreatGrandParent',
'isGreatGrandParentOf', 'isUncleOf', 'ha... | 28.339744 | 84 | 0.555078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,106 | 0.476363 |
0a3e6de6fa0adef7035c5c9d0aedbcc9e7f13b79 | 791 | py | Python | electrum/version.py | c4pt000/electrum-radiocoin | 7cb5f618a9aa8cd03d60191624a0e57cc24646d2 | [
"MIT"
] | null | null | null | electrum/version.py | c4pt000/electrum-radiocoin | 7cb5f618a9aa8cd03d60191624a0e57cc24646d2 | [
"MIT"
] | null | null | null | electrum/version.py | c4pt000/electrum-radiocoin | 7cb5f618a9aa8cd03d60191624a0e57cc24646d2 | [
"MIT"
] | null | null | null | ELECTRUM_VERSION = '4.1.5-radc' # version of the client package
APK_VERSION = '4.1.5.0' # read by buildozer.spec
PROTOCOL_VERSION = '1.4' # protocol version requested
# The hash of the mnemonic seed must begin with this
SEED_PREFIX = '01' # Standard wallet
SEED_PREFIX_SW = '100' # S... | 34.391304 | 67 | 0.668774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 338 | 0.427307 |
0a4491bed67c4627a06dabc6e88940ee8f57226d | 14,777 | py | Python | ResNet/dropblock.py | whj363636/CamDrop | f8af8c200665145f112b59348f60fc4cf80f04ec | [
"MIT"
] | null | null | null | ResNet/dropblock.py | whj363636/CamDrop | f8af8c200665145f112b59348f60fc4cf80f04ec | [
"MIT"
] | null | null | null | ResNet/dropblock.py | whj363636/CamDrop | f8af8c200665145f112b59348f60fc4cf80f04ec | [
"MIT"
] | 1 | 2021-11-06T11:22:49.000Z | 2021-11-06T11:22:49.000Z | # -*- coding: utf-8 -*-
# File: dropblock.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import re
import six
# from tensorpack.tfutils.compat import tfv1 as tf # this should be avoided first in model code
from tensorpack.tfutils.tower import get_curren... | 45.891304 | 166 | 0.663667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,122 | 0.414292 |
0a482fa1649b42a4ec4a6b713bc6b758170e2273 | 12,096 | py | Python | httprunner/compat.py | panyuan209/httprunner | d90f2b9ab06963e8efa1c327975fca5296d6bc39 | [
"Apache-2.0"
] | null | null | null | httprunner/compat.py | panyuan209/httprunner | d90f2b9ab06963e8efa1c327975fca5296d6bc39 | [
"Apache-2.0"
] | null | null | null | httprunner/compat.py | panyuan209/httprunner | d90f2b9ab06963e8efa1c327975fca5296d6bc39 | [
"Apache-2.0"
] | null | null | null | """
This module handles compatibility issues between testcase format v2 and v3.
解决httprunner2 和 3 之间测试用例兼容性问题
"""
import os
import sys
from typing import List, Dict, Text, Union, Any
from loguru import logger
from httprunner import exceptions
from httprunner.loader import load_project_meta, convert_relative_project_r... | 30.315789 | 112 | 0.61789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,024 | 0.414385 |
0a498f8f754b453bd4fdad3c6f6282e67b1ff4ac | 1,551 | py | Python | examples/CountLettersInList.py | Ellis0817/Introduction-to-Programming-Using-Python | 1882a2a846162d5ff56d4d56c3940b638ef408bd | [
"MIT"
] | null | null | null | examples/CountLettersInList.py | Ellis0817/Introduction-to-Programming-Using-Python | 1882a2a846162d5ff56d4d56c3940b638ef408bd | [
"MIT"
] | 4 | 2019-11-07T12:32:19.000Z | 2020-07-19T14:04:44.000Z | examples/CountLettersInList.py | Ellis0817/Introduction-to-Programming-Using-Python | 1882a2a846162d5ff56d4d56c3940b638ef408bd | [
"MIT"
] | 5 | 2019-12-04T15:56:55.000Z | 2022-01-14T06:19:18.000Z | import RandomCharacter # Defined in Listing 6.9
def main():
"""Main."""
# Create a list of characters
chars = createList()
# Display the list
print("The lowercase letters are:")
displayList(chars)
# Count the occurrences of each letter
counts = countLetters(chars)
# Display cou... | 23.149254 | 64 | 0.597679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 626 | 0.403611 |
0a4ab6a6c7a8f22ae4262d99f43041e035e6b535 | 602 | py | Python | project/settings/production.py | chiehtu/kissaten | a7aad01de569107d5fd5ed2cd781bca6e5750871 | [
"MIT"
] | null | null | null | project/settings/production.py | chiehtu/kissaten | a7aad01de569107d5fd5ed2cd781bca6e5750871 | [
"MIT"
] | null | null | null | project/settings/production.py | chiehtu/kissaten | a7aad01de569107d5fd5ed2cd781bca6e5750871 | [
"MIT"
] | null | null | null | from .base import *
SECRET_KEY = get_env_var('SECRET_KEY')
CSRF_COOKIE_SECURE = True
SESSION_COOKIE_SECURE = True
TEMPLATE_LOADERS = (
('django.template.loaders.cached.Loader', (
'django.template.loaders.filesystem.Loader',
'django.template.loaders.app_directories.Loader',
)),
)
EMAIL_BACK... | 18.8125 | 61 | 0.750831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 243 | 0.403654 |
0a5e25995315baeb1a8d9bd6a0b259803f947416 | 1,768 | py | Python | examples/pylab_examples/image_masked.py | pierre-haessig/matplotlib | 0d945044ca3fbf98cad55912584ef80911f330c6 | [
"MIT",
"PSF-2.0",
"BSD-3-Clause"
] | 16 | 2016-06-14T19:45:35.000Z | 2020-11-30T19:02:58.000Z | examples/pylab_examples/image_masked.py | pierre-haessig/matplotlib | 0d945044ca3fbf98cad55912584ef80911f330c6 | [
"MIT",
"PSF-2.0",
"BSD-3-Clause"
] | 7 | 2015-05-08T19:36:25.000Z | 2015-06-30T15:32:17.000Z | examples/pylab_examples/image_masked.py | pierre-haessig/matplotlib | 0d945044ca3fbf98cad55912584ef80911f330c6 | [
"MIT",
"PSF-2.0",
"BSD-3-Clause"
] | 6 | 2015-06-05T03:34:06.000Z | 2022-01-25T09:07:10.000Z | #!/usr/bin/env python
'''imshow with masked array input and out-of-range colors.
The second subplot illustrates the use of BoundaryNorm to
get a filled contour effect.
'''
from pylab import *
from numpy import ma
import matplotlib.colors as colors
delta = 0.025
x = y = arange(-3.0, 3.0, delta)
X, Y = meshgri... | 31.571429 | 70 | 0.673643 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 843 | 0.47681 |
0a63b2be4d7b2116c7bb45a2e0a6f93a06e01c5e | 959 | py | Python | other/minimum_edit_distance.py | newvicklee/nlp_algorithms | d2812398d96d345dcb50970bae6ebbf666ea5380 | [
"MIT"
] | null | null | null | other/minimum_edit_distance.py | newvicklee/nlp_algorithms | d2812398d96d345dcb50970bae6ebbf666ea5380 | [
"MIT"
] | null | null | null | other/minimum_edit_distance.py | newvicklee/nlp_algorithms | d2812398d96d345dcb50970bae6ebbf666ea5380 | [
"MIT"
] | null | null | null | """
Minimum edit distance computes the cost it takes to get from one string to another string.
This implementation uses the Levenshtein distance with a cost of 1 for insertions or deletions and a cost of 2 for substitutions.
Resource: https://en.wikipedia.org/wiki/Edit_distance
For example, getting from "intention" ... | 28.205882 | 129 | 0.535975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 423 | 0.441084 |
0a6d2f3733dce67a2fafd219a662c5c458e102f9 | 1,774 | py | Python | XORCipher/XOREncrypt.py | KarthikGandrala/DataEncryption | 6ed4dffead345bc9f7010ac2ea9afbff958c85af | [
"MIT"
] | 1 | 2021-07-12T06:05:45.000Z | 2021-07-12T06:05:45.000Z | XORCipher/XOREncrypt.py | KarthikGandrala/Encrypt-Your-Data | 6ed4dffead345bc9f7010ac2ea9afbff958c85af | [
"MIT"
] | null | null | null | XORCipher/XOREncrypt.py | KarthikGandrala/Encrypt-Your-Data | 6ed4dffead345bc9f7010ac2ea9afbff958c85af | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Function to encrypt message using key is defined
def encrypt(msg, key):
# Defining empty strings and counters
hexadecimal = ''
iteration = 0
# Running for loop in the range of MSG and comparing the BITS
for i in range(len(msg)):
... | 23.653333 | 79 | 0.558061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 783 | 0.441375 |
6a5f51cf2ae3a67fb99172b7bd4214f43d0d42bc | 269 | py | Python | python/ordenacao.py | valdirsjr/learning.data | a4b72dfd27f55f2f04120644b73232bf343f71e3 | [
"MIT"
] | null | null | null | python/ordenacao.py | valdirsjr/learning.data | a4b72dfd27f55f2f04120644b73232bf343f71e3 | [
"MIT"
] | null | null | null | python/ordenacao.py | valdirsjr/learning.data | a4b72dfd27f55f2f04120644b73232bf343f71e3 | [
"MIT"
] | null | null | null | numero1 = int(input("Digite o primeiro número: "))
numero2 = int(input("Digite o segundo número: "))
numero3 = int(input("Digite o terceiro número: "))
if (numero1 < numero2 and numero2 < numero3):
print("crescente")
else:
print("não está em ordem crescente") | 38.428571 | 50 | 0.69145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.467153 |
6a61f1e1f810996e1c76609bf6e7fcc907c4da57 | 2,020 | py | Python | lang/py/aingle/test/gen_interop_data.py | AIngleLab/aae | 6e95f89fad60e62bb5305afe97c72f3278d8e04b | [
"Apache-2.0"
] | null | null | null | lang/py/aingle/test/gen_interop_data.py | AIngleLab/aae | 6e95f89fad60e62bb5305afe97c72f3278d8e04b | [
"Apache-2.0"
] | null | null | null | lang/py/aingle/test/gen_interop_data.py | AIngleLab/aae | 6e95f89fad60e62bb5305afe97c72f3278d8e04b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
##
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
... | 31.5625 | 127 | 0.681188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,053 | 0.521287 |
6a6b124cb7b2cd1d6d09ae5b84d5b49e63612508 | 679 | py | Python | test_f_login_andy.py | KotoLLC/peacenik-tests | 760f7799ab2b9312fe0cce373890195151c48fce | [
"Apache-2.0"
] | null | null | null | test_f_login_andy.py | KotoLLC/peacenik-tests | 760f7799ab2b9312fe0cce373890195151c48fce | [
"Apache-2.0"
] | null | null | null | test_f_login_andy.py | KotoLLC/peacenik-tests | 760f7799ab2b9312fe0cce373890195151c48fce | [
"Apache-2.0"
] | null | null | null | from helpers import *
def test_f_login_andy():
url = "http://central.orbits.local/rpc.AuthService/Login"
raw_payload = {"name": "andy","password": "12345"}
payload = json.dumps(raw_payload)
headers = {'Content-Type': 'application/json'}
# convert dict to json by json.dumps() for body dat... | 35.736842 | 75 | 0.696613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.415317 |
6a6b9fd92e89d1958b00048f55376ec87fde6db2 | 7,696 | py | Python | docker/src/clawpack-5.3.1/riemann/src/shallow_1D_py.py | ian-r-rose/visualization | ed6d9fab95eb125e7340ab3fad3ed114ed3214af | [
"CC-BY-4.0"
] | 11 | 2017-01-04T18:19:48.000Z | 2021-02-21T01:46:33.000Z | docker/src/clawpack-5.3.1/riemann/src/shallow_1D_py.py | ian-r-rose/visualization | ed6d9fab95eb125e7340ab3fad3ed114ed3214af | [
"CC-BY-4.0"
] | 8 | 2016-09-22T20:49:51.000Z | 2019-09-06T23:28:13.000Z | docker/src/clawpack-5.3.1/riemann/src/shallow_1D_py.py | ian-r-rose/visualization | ed6d9fab95eb125e7340ab3fad3ed114ed3214af | [
"CC-BY-4.0"
] | 13 | 2016-09-22T20:20:06.000Z | 2020-07-13T14:48:32.000Z | #!/usr/bin/env python
# encoding: utf-8
r"""
Riemann solvers for the shallow water equations.
The available solvers are:
* Roe - Use Roe averages to caluclate the solution to the Riemann problem
* HLL - Use a HLL solver
* Exact - Use a newton iteration to calculate the exact solution to the
Riemann pro... | 31.801653 | 88 | 0.511954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,263 | 0.423986 |
6a6dcc4d9c3e1b2437b6c8b26173ce12b1dfa929 | 7,761 | py | Python | week2/Assignment2Answer.py | RayshineRen/Introduction_to_Data_Science_in_Python | b19aa781a8f8d0e25853c4e86dadd4c9bebbcd71 | [
"MIT"
] | 1 | 2020-09-22T15:06:02.000Z | 2020-09-22T15:06:02.000Z | week2/Assignment2Answer.py | RayshineRen/Introduction_to_Data_Science_in_Python | b19aa781a8f8d0e25853c4e86dadd4c9bebbcd71 | [
"MIT"
] | 1 | 2020-11-03T14:11:02.000Z | 2020-11-03T14:24:50.000Z | week2/Assignment2Answer.py | RayshineRen/Introduction_to_Data_Science_in_Python | b19aa781a8f8d0e25853c4e86dadd4c9bebbcd71 | [
"MIT"
] | 2 | 2020-09-22T05:27:09.000Z | 2020-11-05T10:39:49.000Z | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 18 21:56:15 2020
@author: Ray
@email: [email protected]
@wechat: RayTing0305
"""
'''
Question 1
Write a function called proportion_of_education which returns the proportion of children in the dataset who had a mother with the education levels equal to less tha... | 53.895833 | 576 | 0.74024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,615 | 0.587823 |
6a75c6bcf2a235fe76f46e51c4cc31283811626a | 2,534 | py | Python | simulation/dataset_G_1q_X_Z_N1.py | eperrier/QDataSet | 383b38b9b4166848f72fac0153800525e66b477b | [
"MIT"
] | 42 | 2021-08-17T02:27:59.000Z | 2022-03-26T16:00:57.000Z | simulation/dataset_G_1q_X_Z_N1.py | eperrier/QDataSet | 383b38b9b4166848f72fac0153800525e66b477b | [
"MIT"
] | 1 | 2021-09-25T11:15:20.000Z | 2021-09-27T04:18:25.000Z | simulation/dataset_G_1q_X_Z_N1.py | eperrier/QDataSet | 383b38b9b4166848f72fac0153800525e66b477b | [
"MIT"
] | 6 | 2021-08-17T02:28:04.000Z | 2022-03-22T07:11:48.000Z | ##############################################
"""
This module generate a dataset
"""
##############################################
# preample
import numpy as np
from utilites import Pauli_operators, simulate, CheckNoise
################################################
# meta parameters
name = "G_1q... | 56.311111 | 261 | 0.404893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,192 | 0.470403 |
6a77df2fb34c60a66cb0710a264af376f888be93 | 2,112 | py | Python | advanced/itertools_funcs.py | ariannasg/python3-essential-training | 9b52645f5ccb57d2bda5d5f4a3053681a026450a | [
"MIT"
] | 1 | 2020-06-02T08:37:41.000Z | 2020-06-02T08:37:41.000Z | advanced/itertools_funcs.py | ariannasg/python3-training | 9b52645f5ccb57d2bda5d5f4a3053681a026450a | [
"MIT"
] | null | null | null | advanced/itertools_funcs.py | ariannasg/python3-training | 9b52645f5ccb57d2bda5d5f4a3053681a026450a | [
"MIT"
] | null | null | null | #!usr/bin/env python3
import itertools
# itertools is a module that's not technically a set of built-in functions but
# it is part of the standard library that comes with python.
# it's useful for for creating and using iterators.
def main():
print('some infinite iterators')
# cycle iterator can be used to cy... | 29.333333 | 78 | 0.673295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,244 | 0.589015 |
6a7d299369e55fc318f13ff176616da2592dab8c | 526 | py | Python | Python/17 - 081 - extraindo dados de uma lista.py | matheusguerreiro/python | f39a1b92409f11cbe7fef5d9261f863f9e0fac0d | [
"MIT"
] | null | null | null | Python/17 - 081 - extraindo dados de uma lista.py | matheusguerreiro/python | f39a1b92409f11cbe7fef5d9261f863f9e0fac0d | [
"MIT"
] | null | null | null | Python/17 - 081 - extraindo dados de uma lista.py | matheusguerreiro/python | f39a1b92409f11cbe7fef5d9261f863f9e0fac0d | [
"MIT"
] | null | null | null | # Aula 17 (Listas (Parte 1))
valores = []
while True:
valor = int(input('Digite um Valor ou -1 para Finalizar: '))
if valor < 0:
print('\nFinalizando...')
break
else:
valores.append(valor)
print(f'Foram digitados {len(valores)} números')
valores.sort(reverse=True)
print(f'Lista ord... | 26.3 | 74 | 0.652091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 278 | 0.52354 |
6a8e7fcaf4ca3d67de4aab013987d7db788188b5 | 252 | py | Python | pyqtgraph/examples/template.py | secantsquared/pyqtgraph | 3ef7f5b91639543e43bcd66a84290fb9bc18fc5c | [
"MIT"
] | null | null | null | pyqtgraph/examples/template.py | secantsquared/pyqtgraph | 3ef7f5b91639543e43bcd66a84290fb9bc18fc5c | [
"MIT"
] | null | null | null | pyqtgraph/examples/template.py | secantsquared/pyqtgraph | 3ef7f5b91639543e43bcd66a84290fb9bc18fc5c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Description of example
"""
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore, QtGui, mkQApp
import numpy as np
app = mkQApp()
# win.setWindowTitle('pyqtgraph example: ____')
if __name__ == '__main__':
pg.exec()
| 15.75 | 47 | 0.68254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.436508 |
6a9907c6e19624e9a00da0b3cff99ba87e746680 | 3,206 | py | Python | models2.py | Lydia-Tan/MindLife | 644f1a3834f337d51c99650c3924df99c5200d06 | [
"MIT"
] | 1 | 2020-01-20T19:49:07.000Z | 2020-01-20T19:49:07.000Z | models2.py | lindaweng/Mindlife | 30be070b39728fb3fe149d4c95e5bce280a3b6a7 | [
"MIT"
] | null | null | null | models2.py | lindaweng/Mindlife | 30be070b39728fb3fe149d4c95e5bce280a3b6a7 | [
"MIT"
] | null | null | null | import nltk
import re
import sys
from sys import argv
from nltk.sentiment.vader import SentimentIntensityAnalyzer
def ajay(ans):
ajay = SentimentIntensityAnalyzer()
completeScore = 0
questionWeights = [0.05, 0.20, 0.05, 0.05, 0.05, 0.20, 0.05, 0.05, 0.20, 0.10]
print ans
ansList = ans.split("$")
... | 51.709677 | 98 | 0.585153 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,752 | 0.546475 |
6a9c552700ad0a75cac33278ee8dc5a5139c2432 | 844 | py | Python | textpand/download.py | caufieldjh/textpand-for-kgs | 42853c53c5a4cc06fbd745c147d02fe7916690fa | [
"BSD-3-Clause"
] | 3 | 2021-12-10T21:13:47.000Z | 2021-12-10T23:36:18.000Z | textpand/download.py | caufieldjh/textpand-for-kgs | 42853c53c5a4cc06fbd745c147d02fe7916690fa | [
"BSD-3-Clause"
] | 1 | 2022-01-06T20:59:07.000Z | 2022-01-06T20:59:07.000Z | textpand/download.py | caufieldjh/textpand-for-kgs | 42853c53c5a4cc06fbd745c147d02fe7916690fa | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from .utils import download_from_yaml
def download(output_dir: str, snippet_only: bool, ignore_cache: bool = False) -> None:
"""Downloads data files from list of URLs (default: download.yaml) into data directory (default: data/).
Args:
output_dir: A str... | 31.259259 | 108 | 0.625592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 466 | 0.552133 |
6a9d42bd307c1507375c76e403f46b3901bbf76d | 3,560 | py | Python | qt-creator-opensource-src-4.6.1/scripts/checkInstalledFiles.py | kevinlq/Qt-Creator-Opensource-Study | b8cadff1f33f25a5d4ef33ed93f661b788b1ba0f | [
"MIT"
] | 5 | 2018-12-22T14:49:13.000Z | 2022-01-13T07:21:46.000Z | qt-creator-opensource-src-4.6.1/scripts/checkInstalledFiles.py | kevinlq/Qt-Creator-Opensource-Study | b8cadff1f33f25a5d4ef33ed93f661b788b1ba0f | [
"MIT"
] | null | null | null | qt-creator-opensource-src-4.6.1/scripts/checkInstalledFiles.py | kevinlq/Qt-Creator-Opensource-Study | b8cadff1f33f25a5d4ef33ed93f661b788b1ba0f | [
"MIT"
] | 8 | 2018-07-17T03:55:48.000Z | 2021-12-22T06:37:53.000Z | #!/usr/bin/env python
############################################################################
#
# Copyright (C) 2016 The Qt Company Ltd.
# Contact: https://www.qt.io/licensing/
#
# This file is part of Qt Creator.
#
# Commercial License Usage
# Licensees holding valid commercial Qt licenses may use this file in
#... | 31.504425 | 136 | 0.608989 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,497 | 0.420506 |
6aa02482ee4345f8d62c98b8785e029ed85945dd | 1,639 | py | Python | tqsdk/demo/example/momentum.py | boyscout2008/tqsdk-python | 79496a938a44f79ea9164569637509d0cc7db70a | [
"Apache-2.0"
] | null | null | null | tqsdk/demo/example/momentum.py | boyscout2008/tqsdk-python | 79496a938a44f79ea9164569637509d0cc7db70a | [
"Apache-2.0"
] | null | null | null | tqsdk/demo/example/momentum.py | boyscout2008/tqsdk-python | 79496a938a44f79ea9164569637509d0cc7db70a | [
"Apache-2.0"
] | 1 | 2020-11-20T01:19:11.000Z | 2020-11-20T01:19:11.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "Ringo"
'''
价格动量 策略 (难度：初级)
参考: https://www.shinnytech.com/blog/momentum-strategy/
注: 该示例策略仅用于功能示范, 实盘时请根据自己的策略/经验进行修改
'''
from tqsdk import TqAccount, TqApi, TargetPosTask
# 设置指定合约,获取N条K线计算价格动量
SYMBOL = "SHFE.au1912"
N = 15
api = TqApi()
klines = api.get_... | 26.015873 | 90 | 0.621721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 910 | 0.43687 |
6aa1d7c9f54267d6e42717a153600f7e111a7f9f | 10,323 | py | Python | color_transfer/__init__.py | AdamSpannbauer/color_transfer | 155e0134615f35bf19bf32f4cacf056603604914 | [
"MIT"
] | null | null | null | color_transfer/__init__.py | AdamSpannbauer/color_transfer | 155e0134615f35bf19bf32f4cacf056603604914 | [
"MIT"
] | null | null | null | color_transfer/__init__.py | AdamSpannbauer/color_transfer | 155e0134615f35bf19bf32f4cacf056603604914 | [
"MIT"
] | 1 | 2020-11-05T17:35:14.000Z | 2020-11-05T17:35:14.000Z | # import the necessary packages
import numpy as np
import cv2
import imutils
def color_transfer(source, target, clip=True, preserve_paper=True):
"""
Transfers the color distribution from the source to the target
image using the mean and standard deviations of the L*a*b*
color space.
This implemen... | 36.477032 | 105 | 0.657173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,400 | 0.523104 |
6aac551e77cffa8d22df81867eace49a7797fd1d | 1,199 | py | Python | misc.py | hldai/wikiprocesspy | 788ccb6f0e0e54a7322863d5a13332635afc240d | [
"MIT"
] | null | null | null | misc.py | hldai/wikiprocesspy | 788ccb6f0e0e54a7322863d5a13332635afc240d | [
"MIT"
] | null | null | null | misc.py | hldai/wikiprocesspy | 788ccb6f0e0e54a7322863d5a13332635afc240d | [
"MIT"
] | null | null | null | import json
def __text_from_anchor_sents_file(anchor_sents_file, output_file):
f = open(anchor_sents_file, encoding='utf-8')
fout = open(output_file, 'w', encoding='utf-8', newline='\n')
for i, line in enumerate(f):
sent = json.loads(line)
fout.write('{}\n'.format(sent['tokens']))
... | 35.264706 | 118 | 0.686405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 481 | 0.401168 |
6aad4ce5dfa92a930b5b7dfb6e85c80cb8498743 | 2,833 | py | Python | neural_toolbox/inception.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | neural_toolbox/inception.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | neural_toolbox/inception.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import tensorflow.contrib.slim as slim
import tensorflow.contrib.slim.python.slim.nets.resnet_v1 as resnet_v1
import tensorflow.contrib.slim.python.slim.nets.inception_v1 as inception_v1
import tensorflow.contrib.slim.python.slim.nets.resnet_utils as slim_utils
from tensorflow.contrib import l... | 36.320513 | 143 | 0.676668 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,527 | 0.539005 |
6ab1bd9218aece261b575574072df1d919112085 | 1,108 | py | Python | lib/galaxy/web/__init__.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 4 | 2015-05-12T20:36:41.000Z | 2017-06-26T15:34:02.000Z | lib/galaxy/web/__init__.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 52 | 2015-03-16T14:02:14.000Z | 2021-12-24T09:50:23.000Z | lib/galaxy/web/__init__.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 1 | 2016-03-21T12:54:06.000Z | 2016-03-21T12:54:06.000Z | """
The Galaxy web application framework
"""
from .framework import url_for
from .framework.base import httpexceptions
from .framework.decorators import (
do_not_cache,
error,
expose,
expose_api,
expose_api_anonymous,
expose_api_anonymous_and_sessionless,
expose_api_raw,
expose_api_raw_... | 30.777778 | 74 | 0.737365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 449 | 0.405235 |
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