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540d12bf750ecb2e910c29f067d4164a9bcaf207 | 30,598 | py | Python | file.py | Tawfiq-MoonHacker/metis_video | 8d63ac458b8b6bfa48a1ec5476dc47be1987f42a | [
"Apache-2.0"
] | null | null | null | file.py | Tawfiq-MoonHacker/metis_video | 8d63ac458b8b6bfa48a1ec5476dc47be1987f42a | [
"Apache-2.0"
] | null | null | null | file.py | Tawfiq-MoonHacker/metis_video | 8d63ac458b8b6bfa48a1ec5476dc47be1987f42a | [
"Apache-2.0"
] | null | null | null | file_forgot_password = ["""<!DOCTYPE html>
<html>
<head>
<title></title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<style type="text/css">... | 48.878594 | 410 | 0.483365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30,185 | 0.986309 |
540dd2561e2691981ca01c923a08b27ff3e24e2d | 2,106 | py | Python | builder/schedule.py | MyConbook/datatool | 1c12bb5124b48ae827c4832896fd81bf711ad44e | [
"Apache-2.0"
] | null | null | null | builder/schedule.py | MyConbook/datatool | 1c12bb5124b48ae827c4832896fd81bf711ad44e | [
"Apache-2.0"
] | null | null | null | builder/schedule.py | MyConbook/datatool | 1c12bb5124b48ae827c4832896fd81bf711ad44e | [
"Apache-2.0"
] | null | null | null | import icalendar
import urllib2
import hashlib
import string
import re
import datetime
from database import Database, TableHandler
class Schedule(TableHandler):
columns = [("Title", Database.C_TCN), "Description", ("Category", Database.C_TCN), ("Location", Database.C_TCN), ("StartDate", Database.C_D), ("EndDate", Dat... | 30.085714 | 169 | 0.7132 | 1,973 | 0.936847 | 0 | 0 | 0 | 0 | 0 | 0 | 305 | 0.144824 |
540df69177e6fb46fc901283c03665c416fc9242 | 24,887 | py | Python | src/OFS/CopySupport.py | MatthewWilkes/Zope | 740f934fc9409ae0062e8f0cd6dcfd8b2df00376 | [
"ZPL-2.1"
] | 1 | 2018-12-07T21:19:58.000Z | 2018-12-07T21:19:58.000Z | src/OFS/CopySupport.py | MatthewWilkes/Zope | 740f934fc9409ae0062e8f0cd6dcfd8b2df00376 | [
"ZPL-2.1"
] | null | null | null | src/OFS/CopySupport.py | MatthewWilkes/Zope | 740f934fc9409ae0062e8f0cd6dcfd8b2df00376 | [
"ZPL-2.1"
] | null | null | null | ##############################################################################
#
# Copyright (c) 2002 Zope Foundation and Contributors.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS I... | 33.952251 | 79 | 0.571704 | 19,747 | 0.793466 | 0 | 0 | 0 | 0 | 0 | 0 | 6,983 | 0.280588 |
540f2aeaaaa0eee405144a0e73dbe2a9199426b2 | 1,697 | py | Python | Search in a Binary Search Tree.py | frank0215/Leetcode_python | 9428ded4f9abd347b12bfef8aa1dd2d177f3afea | [
"MIT"
] | null | null | null | Search in a Binary Search Tree.py | frank0215/Leetcode_python | 9428ded4f9abd347b12bfef8aa1dd2d177f3afea | [
"MIT"
] | null | null | null | Search in a Binary Search Tree.py | frank0215/Leetcode_python | 9428ded4f9abd347b12bfef8aa1dd2d177f3afea | [
"MIT"
] | null | null | null | class TreeNode:
def __init__(self, val, left=None, right=None):
self.val = val
self.right = right
self.left = left
class Solution:
def searchBST(self, root, val):
# if not root:
# return None
# if root.val == val:
# return root
... | 23.569444 | 74 | 0.446081 | 1,328 | 0.771644 | 0 | 0 | 0 | 0 | 0 | 0 | 782 | 0.454387 |
541271297050a8dd2d540558c72d94871ade9a15 | 1,019 | py | Python | src/data/process_HJ_data.py | simran-grewal/COVID-19-Data-Analysis | 8751aa75c451e956d5b1d1e2d6f2ffbec8dc673a | [
"FTL"
] | null | null | null | src/data/process_HJ_data.py | simran-grewal/COVID-19-Data-Analysis | 8751aa75c451e956d5b1d1e2d6f2ffbec8dc673a | [
"FTL"
] | null | null | null | src/data/process_HJ_data.py | simran-grewal/COVID-19-Data-Analysis | 8751aa75c451e956d5b1d1e2d6f2ffbec8dc673a | [
"FTL"
] | null | null | null | import subprocess
import os
import numpy as np
import pandas as pd
from datetime import datetime
def store_relational_JH_data():
pd_raw = pd.read_csv('../data/raw/COVID-19/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')
pd_data_base = pd_raw.rename(columns={'Country/Re... | 42.458333 | 134 | 0.703631 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 336 | 0.329735 |
5414770e7a98cb88e29d0f46a7ec2949accc8e44 | 1,023 | py | Python | wasm-server.py | erique/pt2-clone | f3376a5a40316f15e82feaa321673a8611c31a53 | [
"BSD-3-Clause"
] | null | null | null | wasm-server.py | erique/pt2-clone | f3376a5a40316f15e82feaa321673a8611c31a53 | [
"BSD-3-Clause"
] | null | null | null | wasm-server.py | erique/pt2-clone | f3376a5a40316f15e82feaa321673a8611c31a53 | [
"BSD-3-Clause"
] | null | null | null | # Python 3
import sys
import socketserver
from http.server import SimpleHTTPRequestHandler
class WasmHandler(SimpleHTTPRequestHandler):
def __init__(self, *args, **kwargs):
super().__init__(*args, directory="release/emscripten", **kwargs)
def do_GET(self):
if self.path == '/':
self... | 34.1 | 73 | 0.670577 | 513 | 0.501466 | 0 | 0 | 0 | 0 | 0 | 0 | 320 | 0.312805 |
5414822b05eb873a76f59d1b99fc4fca71aebfa2 | 1,850 | py | Python | stage.py | boularbahsmail/Asteroids-Game | ef4ae8d2e66ea2875aba83f512610b4da56c9ef1 | [
"CNRI-Python"
] | 2 | 2021-03-25T23:02:50.000Z | 2021-03-26T10:41:33.000Z | stage.py | boularbahsmail/Asteroids-Game | ef4ae8d2e66ea2875aba83f512610b4da56c9ef1 | [
"CNRI-Python"
] | null | null | null | stage.py | boularbahsmail/Asteroids-Game | ef4ae8d2e66ea2875aba83f512610b4da56c9ef1 | [
"CNRI-Python"
] | null | null | null |
import pygame
import sys
import os
from pygame.locals import *
class Stage:
# Set up the PyGame surface
def __init__(self, caption, dimensions=None):
pygame.init()
# If no screen size is provided pick the first available mode
if dimensions == None:
dimensions = pygame.di... | 29.83871 | 76 | 0.600541 | 1,783 | 0.963784 | 0 | 0 | 0 | 0 | 0 | 0 | 197 | 0.106486 |
5414c4d1cd6ab405e144265b135b1ae64b919a77 | 2,596 | py | Python | web/MicroservicesAsAservice/src/notes/app.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | web/MicroservicesAsAservice/src/notes/app.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | web/MicroservicesAsAservice/src/notes/app.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | from flask import Flask, request, jsonify, render_template_string
import redis
import requests
import re
import json
import sys
app = Flask(__name__)
@app.route('/getid/<username>')
def getid(username):
red = redis.Redis(host="redis_users")
return red.get(username).decode()
@app.route('/useraction', methods... | 33.282051 | 74 | 0.552003 | 0 | 0 | 0 | 0 | 2,371 | 0.913328 | 0 | 0 | 590 | 0.227273 |
54156bd3caed9e41e591c736c817a669d7acd84f | 1,195 | py | Python | divisiones.py | badgercl/scrappers-congreso-chile | ae2f3f451f6fa90a4964f2c476aecdfc2c5254ee | [
"MIT"
] | null | null | null | divisiones.py | badgercl/scrappers-congreso-chile | ae2f3f451f6fa90a4964f2c476aecdfc2c5254ee | [
"MIT"
] | null | null | null | divisiones.py | badgercl/scrappers-congreso-chile | ae2f3f451f6fa90a4964f2c476aecdfc2c5254ee | [
"MIT"
] | null | null | null |
import requests
from bs4 import BeautifulSoup
import json
import pprint
url = 'https://www.bcn.cl/siit/divisionelectoral/index.htm'
res = requests.get(url)
soup = BeautifulSoup(res.text, 'html.parser')
rows = soup.find_all('tbody')[1].find_all('tr')
region = ""
circunscripcion = ""
distrito = ""
comuna = ""
region... | 23.9 | 60 | 0.661925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 172 | 0.143813 |
5419760ed6778cfb73074dd68ffc3b8c58ad8780 | 685 | py | Python | aws-auth-manager/src/awsauthmanager/app.py | zepplen/aws_tokens | 9249ba00ea0b39ac3c523a9ea3ee2485436e84ef | [
"MIT"
] | null | null | null | aws-auth-manager/src/awsauthmanager/app.py | zepplen/aws_tokens | 9249ba00ea0b39ac3c523a9ea3ee2485436e84ef | [
"MIT"
] | null | null | null | aws-auth-manager/src/awsauthmanager/app.py | zepplen/aws_tokens | 9249ba00ea0b39ac3c523a9ea3ee2485436e84ef | [
"MIT"
] | null | null | null | ####################################################
# (C) Mark Trimmer, 2016, All Rights Reserved
#
# File Name: app.py
#
# Creation Date: 28-12-2016
#
# Created By: Mark Trimmer
#
# Purpose:
#
####################################################
from __future__ import print_function
from credentialfile import Creden... | 26.346154 | 111 | 0.608759 | 324 | 0.472993 | 0 | 0 | 0 | 0 | 0 | 0 | 267 | 0.389781 |
5419a767eec4a75f25fccde0e39c22e20a25e3d6 | 486 | py | Python | setup.py | datamachines/classification-banner | 53ae7ea1104000e60474955f7603c46024a1d06f | [
"Apache-2.0"
] | null | null | null | setup.py | datamachines/classification-banner | 53ae7ea1104000e60474955f7603c46024a1d06f | [
"Apache-2.0"
] | 1 | 2021-06-11T15:30:31.000Z | 2021-06-14T12:58:21.000Z | setup.py | datamachines/classification-banner | 53ae7ea1104000e60474955f7603c46024a1d06f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(name='classification-banner',
version='1.0.0',
description='Classification banner compatable with GTK3 and X11.',
author='Mike May',
author_email='[email protected]',
url='https://www.github.com/datamachines/cl... | 32.4 | 72 | 0.687243 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0.532922 |
541ac4d6365b97db764dba02574e6974751b26ba | 371 | py | Python | synapyse/impl/activation_functions/linear.py | synapyse/synapyse | 8c9ff53ede2d83af27ce771ce1b6ea6a32155b02 | [
"MIT"
] | 4 | 2015-09-19T11:02:56.000Z | 2019-03-27T11:42:12.000Z | synapyse/impl/activation_functions/linear.py | synapyse/synapyse | 8c9ff53ede2d83af27ce771ce1b6ea6a32155b02 | [
"MIT"
] | null | null | null | synapyse/impl/activation_functions/linear.py | synapyse/synapyse | 8c9ff53ede2d83af27ce771ce1b6ea6a32155b02 | [
"MIT"
] | 1 | 2019-10-29T16:24:28.000Z | 2019-10-29T16:24:28.000Z | from synapyse.base.activation_functions.activation_function import ActivationFunction
__author__ = 'Douglas Eric Fonseca Rodrigues'
class Linear(ActivationFunction):
def calculate_output(self):
return self.x
def calculate_derivative(self):
return 1.0
def clone(self):
clone = Lin... | 23.1875 | 85 | 0.698113 | 236 | 0.636119 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.086253 |
541acc6e7acab303b472692f00ec1a571d8c6ad5 | 1,027 | py | Python | demo/app/libs/description.py | suenklerhaw/seoeffekt | 0a31fdfa1a7246da37e37bf53c03d94c5f13f095 | [
"MIT"
] | 1 | 2022-02-15T14:03:10.000Z | 2022-02-15T14:03:10.000Z | demo/app/libs/description.py | suenklerhaw/seoeffekt | 0a31fdfa1a7246da37e37bf53c03d94c5f13f095 | [
"MIT"
] | null | null | null | demo/app/libs/description.py | suenklerhaw/seoeffekt | 0a31fdfa1a7246da37e37bf53c03d94c5f13f095 | [
"MIT"
] | null | null | null | #check description
from bs4 import BeautifulSoup
import lxml.html
def check_description(tree):
description = ""
xpath_meta = "//meta[@name='description']/@content"
xpath_og_property = "//meta[@property='og:description']/@content"
xpath_og_name = "//meta[@name='og:description']/@content"
meta_conte... | 32.09375 | 82 | 0.641675 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.159688 |
541b0dd061b1cb2fb2dd1d60f50109368732184b | 919 | py | Python | backend/projectfiles/GradleProjectFile.py | karllindmark/IsYourProjectUpToDate | ce2df36b8fa39a4732b05dfd75558a914e4e990b | [
"Apache-2.0"
] | null | null | null | backend/projectfiles/GradleProjectFile.py | karllindmark/IsYourProjectUpToDate | ce2df36b8fa39a4732b05dfd75558a914e4e990b | [
"Apache-2.0"
] | null | null | null | backend/projectfiles/GradleProjectFile.py | karllindmark/IsYourProjectUpToDate | ce2df36b8fa39a4732b05dfd75558a914e4e990b | [
"Apache-2.0"
] | null | null | null | import re
from backend.projectfiles.GenericProjectFile import GenericProjectFile
QUOTE = r'(?:["|\'])'
STRING = r'([\w\.\-\+]+)'
GAV_REGEXP = QUOTE + '(?:' + ":".join([STRING, STRING, STRING]) + ')' + QUOTE
class GradleProjectFile(GenericProjectFile):
""" Gradle project file implementation to extract dependenc... | 34.037037 | 82 | 0.516866 | 705 | 0.767138 | 0 | 0 | 0 | 0 | 0 | 0 | 148 | 0.161045 |
541c51e665974394ae0ab412789deb2f54ac881a | 1,879 | py | Python | python/rhinoscripts/example_csv_loading.py | tasbolat1/hmv-s16 | 7863c66ed645b463b72aef98a5c484a18cc9f396 | [
"BSD-3-Clause"
] | 1 | 2020-10-10T21:27:30.000Z | 2020-10-10T21:27:30.000Z | python/rhinoscripts/example_csv_loading.py | tasbolat1/hmv-s16 | 7863c66ed645b463b72aef98a5c484a18cc9f396 | [
"BSD-3-Clause"
] | null | null | null | python/rhinoscripts/example_csv_loading.py | tasbolat1/hmv-s16 | 7863c66ed645b463b72aef98a5c484a18cc9f396 | [
"BSD-3-Clause"
] | null | null | null | """Example code for importing a single rigid body trajectory into Rhino from a Optitrack CSV file.
Copyright (c) 2016, Garth Zeglin. All rights reserved. Licensed under the terms
of the BSD 3-clause license as included in LICENSE.
Example code for generating a path of Rhino 'planes' (e.g. coordinate frame)
from a tr... | 36.134615 | 98 | 0.734433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,132 | 0.602448 |
541d99a0b05066f7ae098ca89430a31ca86b09cb | 91,180 | py | Python | 4_Nback/Nback_practice_lastrun.py | Brinks0211/cognitive_paradigms_patients | 30e3f8268e5c2b5ebfffcc4ebbcb46d8e60d039e | [
"MIT"
] | 2 | 2020-07-01T12:53:40.000Z | 2020-07-01T13:30:23.000Z | 4_Nback/Nback_practice_lastrun.py | Brinks0211/cognitive_paradigms_patients | 30e3f8268e5c2b5ebfffcc4ebbcb46d8e60d039e | [
"MIT"
] | null | null | null | 4_Nback/Nback_practice_lastrun.py | Brinks0211/cognitive_paradigms_patients | 30e3f8268e5c2b5ebfffcc4ebbcb46d8e60d039e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This experiment was created using PsychoPy3 Experiment Builder (v2020.1.3),
on 六月 15, 2020, at 09:02
If you publish work using this script the most relevant publication is:
Peirce J, Gray JR, Simpson S, MacAskill M, Höchenberger R, Sogo H, Kastman E, Li... | 45.842132 | 121 | 0.66599 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33,398 | 0.362927 |
541db46f26a3ec258d9d85654ca98eae0553065a | 3,271 | py | Python | pysal/contrib/geotable/utils.py | cubensys/pysal | 8d50990f6e6603ba79ae1a887a20a1e3a0734e51 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | pysal/contrib/geotable/utils.py | cubensys/pysal | 8d50990f6e6603ba79ae1a887a20a1e3a0734e51 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | pysal/contrib/geotable/utils.py | cubensys/pysal | 8d50990f6e6603ba79ae1a887a20a1e3a0734e51 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-07-19T01:46:17.000Z | 2021-07-19T01:46:17.000Z | from ...cg import asShape as pShape
from ...common import requires as _requires
from warnings import warn
@_requires('geopandas')
def to_df(df, geom_col='geometry', **kw):
"""
Convert a Geopandas dataframe into a normal pandas dataframe with a column
containing PySAL shapes. Always returns a copy.
Ar... | 33.721649 | 100 | 0.602262 | 0 | 0 | 0 | 0 | 1,674 | 0.51177 | 0 | 0 | 2,107 | 0.644146 |
541de3fcd94ea7163228d56302142fff219657ee | 287 | py | Python | torrent/torrent_tracker/whitelist_api/urls.py | projectpai/paipass | 8b8e70b6808bf026cf957e240c7eed7bfcf4c55d | [
"MIT"
] | 3 | 2021-04-17T10:20:26.000Z | 2022-03-08T07:36:13.000Z | torrent/torrent_tracker/whitelist_api/urls.py | projectpai/paipass | 8b8e70b6808bf026cf957e240c7eed7bfcf4c55d | [
"MIT"
] | null | null | null | torrent/torrent_tracker/whitelist_api/urls.py | projectpai/paipass | 8b8e70b6808bf026cf957e240c7eed7bfcf4c55d | [
"MIT"
] | null | null | null | from django.urls import path
from whitelist_api.views import AddTorrentInfoHash, RemoveTorrentInfoHash
app_name = 'whitelist_api'
urlpatterns = [
path('add-torrent-info-hash/', AddTorrentInfoHash.as_view()),
path('del-torrent-info-hash/', RemoveTorrentInfoHash.as_view()),
]
| 23.916667 | 73 | 0.766551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.219512 |
541e93e13927b8ffff8b83f86083ffe9dd7cdee8 | 1,847 | py | Python | vega/core/metrics/pytorch/flops_and_params.py | qixiuai/vega | 3e6588ea4aedb03e3594a549a97ffdb86adb88d1 | [
"MIT"
] | null | null | null | vega/core/metrics/pytorch/flops_and_params.py | qixiuai/vega | 3e6588ea4aedb03e3594a549a97ffdb86adb88d1 | [
"MIT"
] | null | null | null | vega/core/metrics/pytorch/flops_and_params.py | qixiuai/vega | 3e6588ea4aedb03e3594a549a97ffdb86adb88d1 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the ... | 33.581818 | 76 | 0.714131 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 974 | 0.527342 |
5421063007f16d8c808280360658d8af84912272 | 524 | py | Python | Projects/project04/pop_shrink.py | tonysulfaro/CSE-331 | b4f743b1127ebe531ba8417420d043e9c149135a | [
"MIT"
] | 2 | 2019-02-13T17:49:18.000Z | 2020-09-30T04:51:53.000Z | Projects/project04/pop_shrink.py | tonysulfaro/CSE-331 | b4f743b1127ebe531ba8417420d043e9c149135a | [
"MIT"
] | null | null | null | Projects/project04/pop_shrink.py | tonysulfaro/CSE-331 | b4f743b1127ebe531ba8417420d043e9c149135a | [
"MIT"
] | null | null | null | from Stack import Stack
def main():
stack = Stack()
stack.push(0)
stack.push(1)
stack.push(2)
stack.push(3)
assert stack.data == [0, 1, 2, 3]
assert stack.capacity == 4
assert stack.size == 4
popped = stack.pop()
assert popped == 3
popped = stack.pop()
assert popped =... | 17.466667 | 48 | 0.564885 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.083969 |
5421bfc32b86a8ee54dfb925ef8eac6e4d16b3b0 | 212 | py | Python | pycache/__init__.py | HuiiBuh/pycache | 300bd51f9e575fd77014d6c86497dd58f313f752 | [
"MIT"
] | 1 | 2021-09-04T05:34:26.000Z | 2021-09-04T05:34:26.000Z | pycache/__init__.py | HuiiBuh/pycache | 300bd51f9e575fd77014d6c86497dd58f313f752 | [
"MIT"
] | 1 | 2021-03-14T19:26:01.000Z | 2021-03-16T18:46:38.000Z | pycache/__init__.py | HuiiBuh/pycache | 300bd51f9e575fd77014d6c86497dd58f313f752 | [
"MIT"
] | null | null | null | __version__ = '0.3.2'
# noinspection PyUnresolvedReferences
from ._cache._cache import cache
# noinspection PyUnresolvedReferences
from ._scheduler._scheduler import add_schedule, schedule, ScheduleSubscription
| 30.285714 | 79 | 0.84434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.382075 |
5423d564159a63ea1cc7a476c45ce6fae5bb3b4a | 1,670 | py | Python | bender/tests/test_predict_pipeline.py | otovo/bender | b64f0656658287b932ce44d52e6035682652fe33 | [
"Apache-2.0"
] | 2 | 2021-12-17T15:45:40.000Z | 2021-12-18T14:15:43.000Z | bender/tests/test_predict_pipeline.py | otovo/bender | b64f0656658287b932ce44d52e6035682652fe33 | [
"Apache-2.0"
] | 2 | 2022-03-30T14:31:12.000Z | 2022-03-31T14:25:25.000Z | bender/tests/test_predict_pipeline.py | otovo/bender | b64f0656658287b932ce44d52e6035682652fe33 | [
"Apache-2.0"
] | 1 | 2021-12-19T17:16:38.000Z | 2021-12-19T17:16:38.000Z | import numpy as np
import pytest
from pandas.core.frame import DataFrame
from bender.importers import DataImporters
from bender.model_loaders import ModelLoaders
from bender.model_trainer.decision_tree import DecisionTreeClassifierTrainer
from bender.split_strategies import SplitStrategies
pytestmark = pytest.mark.as... | 27.833333 | 116 | 0.640719 | 0 | 0 | 0 | 0 | 0 | 0 | 1,341 | 0.802994 | 792 | 0.474251 |
5423f2c125c3cb768b4a0cd17051477a73148c1a | 16,691 | py | Python | gbot/libs/helper.py | dgw/goshu | 3cba300d92f9bde58cf7348ddc3183d52b4c4bcf | [
"ISC"
] | 5 | 2015-01-03T00:08:58.000Z | 2017-05-05T11:57:03.000Z | gbot/libs/helper.py | dgw/goshu | 3cba300d92f9bde58cf7348ddc3183d52b4c4bcf | [
"ISC"
] | 3 | 2016-02-07T07:35:13.000Z | 2016-11-26T19:29:02.000Z | gbot/libs/helper.py | dgw/goshu | 3cba300d92f9bde58cf7348ddc3183d52b4c4bcf | [
"ISC"
] | 1 | 2020-11-12T09:09:06.000Z | 2020-11-12T09:09:06.000Z | #!/usr/bin/env python3
# Goshu IRC Bot
# written by Daniel Oaks <[email protected]>
# licensed under the ISC license
"""extends several builtin functions and provides helper functions
The default Python library is extensive and well-stocked. There are some
times however, you wish a small task was taken care of for... | 30.795203 | 94 | 0.549038 | 3,564 | 0.213528 | 0 | 0 | 0 | 0 | 0 | 0 | 4,286 | 0.256785 |
542466b53c52821ceb40707c73e0ab32ca5a0262 | 8,707 | py | Python | ptf/lib/runner.py | opennetworkinglab/tassen | 6e42ba79f83caa1bd6ecb40fd9bd1e9f8768ec09 | [
"Apache-2.0"
] | 4 | 2020-07-08T22:04:35.000Z | 2020-07-14T15:09:37.000Z | ptf/lib/runner.py | opennetworkinglab/tassen | 6e42ba79f83caa1bd6ecb40fd9bd1e9f8768ec09 | [
"Apache-2.0"
] | 1 | 2020-07-07T08:12:40.000Z | 2020-07-07T08:12:41.000Z | ptf/lib/runner.py | opennetworkinglab/tassen | 6e42ba79f83caa1bd6ecb40fd9bd1e9f8768ec09 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
# Copyright 2013-present Barefoot Networks, Inc.
# SPDX-FileCopyrightText: 2018-present Open Networking Foundation
#
# SPDX-License-Identifier: Apache-2.0
import Queue
import argparse
import json
import logging
import os
import re
import subprocess
import sys
import threading
import time
from c... | 31.547101 | 91 | 0.605949 | 0 | 0 | 2,560 | 0.294016 | 0 | 0 | 0 | 0 | 1,899 | 0.2181 |
5427881b2cdb695dc79fdf0dbaacbc4dd2f6b718 | 178 | py | Python | rsebs/__init__.py | gabrielperezs/recycling-snapshots | b0707e883bb6037505af815877e4ef8ce544e35e | [
"Apache-2.0"
] | 1 | 2017-05-23T05:58:47.000Z | 2017-05-23T05:58:47.000Z | rsebs/__init__.py | gabrielperezs/recycling-snapshots | b0707e883bb6037505af815877e4ef8ce544e35e | [
"Apache-2.0"
] | null | null | null | rsebs/__init__.py | gabrielperezs/recycling-snapshots | b0707e883bb6037505af815877e4ef8ce544e35e | [
"Apache-2.0"
] | null | null | null | from .snapshots import set_client
from .snapshots import get_snapshots
from .snapshots import tag_snapshot
from .snapshots import set_drymode
from .snapshots import unset_drymode | 35.6 | 36 | 0.865169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
54286060601c97e4e84de6381203dae2af8365e8 | 1,184 | py | Python | predict_form.py | HuginnM/UsedCarsUA | aa871c1bc6cdc1a84810db265c732b04cb4935f0 | [
"Apache-2.0"
] | null | null | null | predict_form.py | HuginnM/UsedCarsUA | aa871c1bc6cdc1a84810db265c732b04cb4935f0 | [
"Apache-2.0"
] | null | null | null | predict_form.py | HuginnM/UsedCarsUA | aa871c1bc6cdc1a84810db265c732b04cb4935f0 | [
"Apache-2.0"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import SubmitField, SelectField, IntegerField, FloatField, StringField
from wtforms.validators import DataRequired
import pandas as pd
uniq_vals = pd.read_csv("data/unique_cat_vals.csv", index_col=0)
class InputData(FlaskForm):
car = SelectField(label="Car", choices=u... | 56.380952 | 121 | 0.754223 | 935 | 0.789696 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.108953 |
5429177713786c59d64d5d6d11764c591147502b | 2,764 | py | Python | color.py | laplacetw/color-codes-bot | e7afb5b09e7c4a5dde6608917781cc6a0ea05287 | [
"MIT"
] | 1 | 2020-10-21T01:26:09.000Z | 2020-10-21T01:26:09.000Z | color.py | laplacetw/color-codes-bot | e7afb5b09e7c4a5dde6608917781cc6a0ea05287 | [
"MIT"
] | null | null | null | color.py | laplacetw/color-codes-bot | e7afb5b09e7c4a5dde6608917781cc6a0ea05287 | [
"MIT"
] | null | null | null | #!usr/bin/env python3
color_chart = {
'1C1':[13.24, 88.89, 228.98, 0.], '1N1':[14.2, 95.37, 233.82, 0.], '1N2':[12.95, 91.79, 219.5, 0.],
'1W1':[14.67, 103.64, 229.41, 0.], '1W2':[14.69, 106.34, 227.28, 0.], '2C0':[15.73, 134.68, 222.32, 0.],
'2C1':[14.57, 125.89, 220.69, 0.], '2C3':[13.7, 103.72, 199.4... | 86.375 | 109 | 0.48589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 396 | 0.143271 |
5429df166b3efe8e9b12e537d9c5a2b68d7af8f7 | 235 | py | Python | leetCode/algorithms/easy/occurrences_after_bigram.py | ferhatelmas/algo | a7149c7a605708bc01a5cd30bf5455644cefd04d | [
"WTFPL"
] | 25 | 2015-01-21T16:39:18.000Z | 2021-05-24T07:01:24.000Z | leetCode/algorithms/easy/occurrences_after_bigram.py | gauravsingh58/algo | 397859a53429e7a585e5f6964ad24146c6261326 | [
"WTFPL"
] | 2 | 2020-09-30T19:39:36.000Z | 2020-10-01T17:15:16.000Z | leetCode/algorithms/easy/occurrences_after_bigram.py | ferhatelmas/algo | a7149c7a605708bc01a5cd30bf5455644cefd04d | [
"WTFPL"
] | 15 | 2015-01-21T16:39:27.000Z | 2020-10-01T17:00:22.000Z | from typing import List
class Solution:
def findOcurrences(self, text: str, first: str, second: str) -> List[str]:
ls = text.split()
return [c for a, b, c in zip(ls, ls[1:], ls[2:]) if a == first and b == second]
| 29.375 | 87 | 0.595745 | 208 | 0.885106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
542a62b48d45febc53b82e238fe6ed286841ea91 | 454 | py | Python | src/pyuwds3/utils/egocentric_spatial_relations.py | LAAS-HRI/uwds3 | 42390f62ed5701a32710341b01faa10efc448078 | [
"MIT"
] | 2 | 2020-08-19T06:15:14.000Z | 2021-05-23T09:55:18.000Z | src/pyuwds3/utils/egocentric_spatial_relations.py | LAAS-HRI/uwds3 | 42390f62ed5701a32710341b01faa10efc448078 | [
"MIT"
] | 5 | 2021-01-06T09:00:35.000Z | 2021-01-20T13:22:19.000Z | src/pyuwds3/utils/egocentric_spatial_relations.py | LAAS-HRI/uwds3 | 42390f62ed5701a32710341b01faa10efc448078 | [
"MIT"
] | 2 | 2020-11-18T17:34:43.000Z | 2021-05-23T16:14:17.000Z |
import math
from scipy.spatial.distance import euclidean
from ..types.bbox import BoundingBox
def is_left_of(bb1, bb2):
_, _, bb1_max, _, _ = bb1
bb2_min, _, _, _, _ = bb2
return bb1_max < bb2_min
def is_right_of(bb1, bb2):
bb1_min, _, _, _, _ = bb1
_, _, bb2_max, _, _ = bb2
return bb1_min ... | 19.73913 | 44 | 0.634361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
542b4553e4da40bd25e9c35ead38f8985d1d5c31 | 2,883 | py | Python | machine_replacement_action_probs.py | dsbrown1331/broil | 3c06e15c560db3242c0e331a2b16cc578a843606 | [
"MIT"
] | 1 | 2021-03-29T09:53:53.000Z | 2021-03-29T09:53:53.000Z | machine_replacement_action_probs.py | dsbrown1331/broil | 3c06e15c560db3242c0e331a2b16cc578a843606 | [
"MIT"
] | 1 | 2020-11-22T15:05:48.000Z | 2020-11-25T00:10:17.000Z | machine_replacement_action_probs.py | dsbrown1331/broil | 3c06e15c560db3242c0e331a2b16cc578a843606 | [
"MIT"
] | null | null | null | import bayesian_irl
import mdp_worlds
import utils
import mdp
import numpy as np
import scipy
import random
import generate_efficient_frontier
from machine_replacement import generate_posterior_samples
if __name__=="__main__":
seed = 1234
np.random.seed(seed)
scipy.random.seed(seed)
random.seed(seed)
... | 27.990291 | 131 | 0.687825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.153313 |
542b464eeb35182c67fc88683f7b87c523d2bec7 | 5,982 | py | Python | sequential/seq_smnist/train_args_seq_smnist.py | mariacer/cl_in_rnns | 333b8e03391600a8e3df7d684a3f171b135d273a | [
"Apache-2.0"
] | 26 | 2020-06-17T08:44:15.000Z | 2022-03-20T04:21:13.000Z | sequential/seq_smnist/train_args_seq_smnist.py | mariacer/cl_in_rnns | 333b8e03391600a8e3df7d684a3f171b135d273a | [
"Apache-2.0"
] | null | null | null | sequential/seq_smnist/train_args_seq_smnist.py | mariacer/cl_in_rnns | 333b8e03391600a8e3df7d684a3f171b135d273a | [
"Apache-2.0"
] | 4 | 2020-10-26T02:19:38.000Z | 2021-12-26T02:26:05.000Z | #!/usr/bin/env python3
# Copyright 2019 Benjamin Ehret, Maria Cervera
#
# 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 ... | 41.541667 | 80 | 0.674858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,522 | 0.421598 |
542b4d4125780654fe2bbd178dc02f72ba260ddd | 2,490 | py | Python | examples/compare.py | guo-yong-zhi/wordcloud2 | 43d34766323e8eec45d46eeaa98537849f48cd37 | [
"MIT"
] | null | null | null | examples/compare.py | guo-yong-zhi/wordcloud2 | 43d34766323e8eec45d46eeaa98537849f48cd37 | [
"MIT"
] | null | null | null | examples/compare.py | guo-yong-zhi/wordcloud2 | 43d34766323e8eec45d46eeaa98537849f48cd37 | [
"MIT"
] | null | null | null | from wordcloud2 import wordcloud as W
import os
from PIL import Image
stwords = {"us", "will"}
print("==Obama's==")
cs = W.randomscheme() #:Set1_8
as_ = W.randomangles() #(0,90,45,-45)
dens = 0.5 #not too high
wca = W.wordcloud(
W.processtext(open(W.pkgdir(W.WordCloud)+"/res/Barack Obama's First Inaugural Address... | 35.571429 | 104 | 0.685542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 866 | 0.347233 |
542b9661a1d12114a162b51bacab5cac808471e8 | 3,520 | py | Python | modules/insight/nbCurvesLevelSet.py | chrisidefix/devide | 99bfe156e710fa47ba7ae88b0ce1eef592a3a439 | [
"BSD-3-Clause"
] | 25 | 2015-08-24T16:05:14.000Z | 2020-12-09T20:07:14.000Z | modules/insight/nbCurvesLevelSet.py | chrisidefix/devide | 99bfe156e710fa47ba7ae88b0ce1eef592a3a439 | [
"BSD-3-Clause"
] | 1 | 2016-02-16T21:18:10.000Z | 2016-02-16T21:18:10.000Z | modules/insight/nbCurvesLevelSet.py | chrisidefix/devide | 99bfe156e710fa47ba7ae88b0ce1eef592a3a439 | [
"BSD-3-Clause"
] | 5 | 2016-02-16T20:05:37.000Z | 2020-01-31T11:27:39.000Z | # Copyright (c) Charl P. Botha, TU Delft
# All rights reserved.
# See COPYRIGHT for details.
import itk
import module_kits.itk_kit as itk_kit
from module_base import ModuleBase
from module_mixins import ScriptedConfigModuleMixin
class nbCurvesLevelSet(ScriptedConfigModuleMixin, ModuleBase):
def __init__(self, mo... | 32 | 76 | 0.600284 | 3,279 | 0.931534 | 0 | 0 | 0 | 0 | 0 | 0 | 1,006 | 0.285795 |
58087fdf8d89ae3ca538e157ca99613c2f7a205f | 2,835 | py | Python | setup.py | ThomasChiroux/ejabberd_external_auth_jwt | fce68cca70ca578b3c1c002a4dea2aa65e3150c1 | [
"MIT"
] | null | null | null | setup.py | ThomasChiroux/ejabberd_external_auth_jwt | fce68cca70ca578b3c1c002a4dea2aa65e3150c1 | [
"MIT"
] | null | null | null | setup.py | ThomasChiroux/ejabberd_external_auth_jwt | fce68cca70ca578b3c1c002a4dea2aa65e3150c1 | [
"MIT"
] | null | null | null | #
# Copyright 2018-2019 Happineo
#
"""setuptools installer for zamita."""
import os
import uuid
from setuptools import find_packages
from setuptools import setup
from setuptools.command.build_py import build_py
# local imports
from build_scripts.version import VersionInfo
HERE = os.path.abspath(os.path.dirname(__fi... | 27.794118 | 82 | 0.618342 | 770 | 0.271605 | 0 | 0 | 0 | 0 | 0 | 0 | 808 | 0.285009 |
5808c926d701d604229b7c9061a8576e5eb62676 | 4,724 | py | Python | Analysis/Feb2021/common_plotting.py | TimChild/dat_analysis | 2902e5cb2f2823a1c7a26faf6b3b6dfeb7633c73 | [
"MIT"
] | 2 | 2021-03-07T03:17:13.000Z | 2021-03-07T03:17:16.000Z | Analysis/Feb2021/common_plotting.py | TimChild/dat_analysis | 2902e5cb2f2823a1c7a26faf6b3b6dfeb7633c73 | [
"MIT"
] | 1 | 2021-03-09T00:00:52.000Z | 2021-03-09T00:00:52.000Z | Analysis/Feb2021/common_plotting.py | TimChild/dat_analysis | 2902e5cb2f2823a1c7a26faf6b3b6dfeb7633c73 | [
"MIT"
] | null | null | null | """
Sep 21 -- A few of the plots used in analysis, very far from a complete list, and probably most are too specific to be
useful again.
Moved useful functions from here.
"""
from __future__ import annotations
from typing import List, Callable, Optional, Union, TYPE_CHECKING
import numpy as np
from dat_analysis.anal... | 44.990476 | 120 | 0.556308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,362 | 0.288315 |
580a05b1f8e364040a8ccda54856a6eead097400 | 9,980 | py | Python | Code/sphero_learn.py | rvarga601/IER | 1cf05e641dea2fb3b4ad5329e3e556713cc199fe | [
"MIT"
] | null | null | null | Code/sphero_learn.py | rvarga601/IER | 1cf05e641dea2fb3b4ad5329e3e556713cc199fe | [
"MIT"
] | null | null | null | Code/sphero_learn.py | rvarga601/IER | 1cf05e641dea2fb3b4ad5329e3e556713cc199fe | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon May 10 23:54:16 2021
@author: rolandvarga
"""
import gym
import numpy as np
import matplotlib.pyplot as plt
import time
from scipy.signal import savgol_filter
import pickle
#%matplotlib qt
#%matplotlib inline
# Set to 1 to repeat SARSA learning (With... | 30.993789 | 118 | 0.577154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,966 | 0.297194 |
580b61225012c491f65cb5e42655216093dbdb35 | 8,952 | py | Python | HW7/kernel_eigenface.py | joycenerd/Machine_Learning_2021 | ecb634a9f2f1112a393a9707ce69c3bc751c4542 | [
"MIT"
] | 1 | 2021-11-18T09:22:21.000Z | 2021-11-18T09:22:21.000Z | HW7/kernel_eigenface.py | joycenerd/Machine_Learning_2021 | ecb634a9f2f1112a393a9707ce69c3bc751c4542 | [
"MIT"
] | null | null | null | HW7/kernel_eigenface.py | joycenerd/Machine_Learning_2021 | ecb634a9f2f1112a393a9707ce69c3bc751c4542 | [
"MIT"
] | null | null | null | from scipy.spatial.distance import cdist
from numpy.linalg import eig, norm, pinv
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
import argparse
import ntpath
import glob
import os
parser = argparse.ArgumentParser()
parser.add_argument("--option", type=str, default="PCA",
... | 31.632509 | 106 | 0.601095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,791 | 0.200067 |
580c8290606fc382a91ddcb30034d1076a50dc58 | 18,427 | py | Python | duqo/optimization/predict.py | canbooo/pyRDO | f7143438aa30cc79587c9f35fc9ff6aa262fc4d3 | [
"BSD-3-Clause"
] | 11 | 2021-08-17T05:55:01.000Z | 2022-02-03T13:16:42.000Z | duqo/optimization/predict.py | canbooo/pyRDO | f7143438aa30cc79587c9f35fc9ff6aa262fc4d3 | [
"BSD-3-Clause"
] | null | null | null | duqo/optimization/predict.py | canbooo/pyRDO | f7143438aa30cc79587c9f35fc9ff6aa262fc4d3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 9 15:33:47 2019
@author: Bogoclu
"""
import typing
import multiprocessing as mp
import warnings
import numpy as np
from scipy import stats
from .space import FullSpace
from duqo.proba import DS, MC, SUSE, ISPUD, FORM
from duqo.doe.lhs import make_doe
def _check_obj_w... | 35.920078 | 115 | 0.61475 | 14,279 | 0.774896 | 0 | 0 | 3,354 | 0.182016 | 0 | 0 | 8,433 | 0.457644 |
580d37ef443f31d16e61142142999c038e7fd18f | 5,352 | py | Python | mymodule/twitter_json_parsing.py | sobkovych/TwitterFriendsMap | 7fb1a844264334fba443feba3830cca2c86b55c9 | [
"MIT"
] | null | null | null | mymodule/twitter_json_parsing.py | sobkovych/TwitterFriendsMap | 7fb1a844264334fba443feba3830cca2c86b55c9 | [
"MIT"
] | null | null | null | mymodule/twitter_json_parsing.py | sobkovych/TwitterFriendsMap | 7fb1a844264334fba443feba3830cca2c86b55c9 | [
"MIT"
] | 1 | 2020-02-26T09:20:17.000Z | 2020-02-26T09:20:17.000Z | """Parse json files."""
import json
import re
def search_for_key(final_key: str, tree: dict, space: list = []):
"""Search all data for a key.
:param final_key: the key
:param tree: the data
:param space: found values
:return: all found values
"""
if isinstance(tree, dict) and final_key in... | 32.047904 | 77 | 0.496076 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,340 | 0.250374 |
580d445ca9f82fbb66ddc5c165290139ca728a53 | 2,795 | py | Python | meet/migrations/0001_initial.py | bjones-tech/speedy-meety | a7d557788a544b69fd6ad454d921d9cf02cfa636 | [
"MIT"
] | null | null | null | meet/migrations/0001_initial.py | bjones-tech/speedy-meety | a7d557788a544b69fd6ad454d921d9cf02cfa636 | [
"MIT"
] | null | null | null | meet/migrations/0001_initial.py | bjones-tech/speedy-meety | a7d557788a544b69fd6ad454d921d9cf02cfa636 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-03-17 02:58
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import meet.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
... | 43.671875 | 131 | 0.586047 | 2,586 | 0.925224 | 0 | 0 | 0 | 0 | 0 | 0 | 464 | 0.166011 |
580de9ae168cc442b87908dac6e8235e1d9361f3 | 284 | py | Python | setup.py | jrspruitt/pyfa_gpio | d0f189724b34a2a888dd01b33d237b79ace5becf | [
"MIT"
] | null | null | null | setup.py | jrspruitt/pyfa_gpio | d0f189724b34a2a888dd01b33d237b79ace5becf | [
"MIT"
] | null | null | null | setup.py | jrspruitt/pyfa_gpio | d0f189724b34a2a888dd01b33d237b79ace5becf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup,find_packages
version = '0.1'
setup(
name='pyfa_gpio',
version=version,
description='',
author='Jason Pruitt',
url='https://github.com/jrspruitt/pyfa_gpio',
license='MIT',
packages = find_packages(),
)
| 17.75 | 49 | 0.661972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0.34507 |
580ec4cbc90960d845dfc3bbcd5951593510c1c2 | 4,093 | py | Python | dps/env/basic/path_discovery.py | alcinos/dps | 5467db1216e9f9089376d2c71f524ced2382e4f6 | [
"Apache-2.0"
] | null | null | null | dps/env/basic/path_discovery.py | alcinos/dps | 5467db1216e9f9089376d2c71f524ced2382e4f6 | [
"Apache-2.0"
] | null | null | null | dps/env/basic/path_discovery.py | alcinos/dps | 5467db1216e9f9089376d2c71f524ced2382e4f6 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import numpy as np
from dps.register import RegisterBank
from dps.env import TensorFlowEnv
from dps.utils import Param, Config
def build_env():
return PathDiscovery()
config = Config(
build_env=build_env,
curriculum=[
dict(shape=(2, 2), threshold=6),
dict(shape=(... | 36.221239 | 109 | 0.590765 | 3,598 | 0.879062 | 0 | 0 | 0 | 0 | 0 | 0 | 339 | 0.082824 |
5810e3bb40adfc4d345436082de3af836eeff704 | 14,812 | py | Python | utils/github/query.py | malkfilipp/ClickHouse | 79a206b092cd465731020f331bc41f6951dbe751 | [
"Apache-2.0"
] | 1 | 2019-09-16T11:07:32.000Z | 2019-09-16T11:07:32.000Z | utils/github/query.py | malkfilipp/ClickHouse | 79a206b092cd465731020f331bc41f6951dbe751 | [
"Apache-2.0"
] | null | null | null | utils/github/query.py | malkfilipp/ClickHouse | 79a206b092cd465731020f331bc41f6951dbe751 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import requests
class Query:
'''Implements queries to the Github API using GraphQL
'''
def __init__(self, token, max_page_size=100, min_page_size=5):
self._token = token
self._max_page_size = max_page_size
self._min_page_size = min_page_size
self.a... | 41.96034 | 128 | 0.369498 | 14,768 | 0.997029 | 0 | 0 | 0 | 0 | 0 | 0 | 9,426 | 0.636376 |
5811d6d7e749badbaa3acffda48486b057d48a0e | 4,404 | py | Python | mortgage/mortgage.py | roelbertens/mortgages | b5fe415024933c772e6c7c57f041bf065ac86176 | [
"MIT"
] | 1 | 2019-08-19T07:09:58.000Z | 2019-08-19T07:09:58.000Z | mortgage/mortgage.py | roelbertens/mortgages | b5fe415024933c772e6c7c57f041bf065ac86176 | [
"MIT"
] | null | null | null | mortgage/mortgage.py | roelbertens/mortgages | b5fe415024933c772e6c7c57f041bf065ac86176 | [
"MIT"
] | null | null | null | from typing import List
import matplotlib.pyplot as plt
class Mortgage:
"""
A mortgage overview of the total burden (incl. interest) and the monthly fees per fixed period
"""
def __init__(self, mortgage_amount, burden, periods, monthly_fees, name):
self.mortgage_amount = int(mortgage_amount)... | 38.631579 | 98 | 0.584923 | 2,937 | 0.666894 | 0 | 0 | 0 | 0 | 0 | 0 | 891 | 0.202316 |
58127a028ca7d4bb09bc84dec02f9d31b1e190c3 | 32,827 | py | Python | training/wml_train.py | corvy/MAX-Object-Detector | 2a21183e6bb9d0c35bac297ee3cf1fc67f4c048f | [
"Apache-2.0"
] | 1 | 2019-10-25T11:36:46.000Z | 2019-10-25T11:36:46.000Z | training/wml_train.py | karankrish/MAX-Image-Segmenter | 2d5d080f4a3d7db1aa4cf320ab35b3e157a6f485 | [
"Apache-2.0"
] | 1 | 2019-07-08T17:58:45.000Z | 2019-09-05T18:07:45.000Z | training/wml_train.py | karankrish/MAX-Image-Segmenter | 2d5d080f4a3d7db1aa4cf320ab35b3e157a6f485 | [
"Apache-2.0"
] | 1 | 2019-10-30T20:42:46.000Z | 2019-10-30T20:42:46.000Z | #!/usr/bin/env python
#
# Copyright 2018-2019 IBM Corp. 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 requ... | 41.03375 | 79 | 0.559113 | 296 | 0.009017 | 0 | 0 | 0 | 0 | 0 | 0 | 14,373 | 0.437841 |
58146fc12bca47d19303bba6584622a1dcef7fcd | 57 | py | Python | tests/unit/sim_client/__init__.py | rkm/bluebird | 2325ebb151724d4444c092c095a040d7365dda79 | [
"MIT"
] | 8 | 2019-01-29T15:19:39.000Z | 2020-07-16T03:55:36.000Z | tests/unit/sim_client/__init__.py | rkm/bluebird | 2325ebb151724d4444c092c095a040d7365dda79 | [
"MIT"
] | 46 | 2019-02-08T14:23:11.000Z | 2021-04-06T13:45:10.000Z | tests/unit/sim_client/__init__.py | rkm/bluebird | 2325ebb151724d4444c092c095a040d7365dda79 | [
"MIT"
] | 3 | 2019-05-06T14:18:07.000Z | 2021-06-17T10:39:59.000Z | """
Module contains tests for the sim_client package
"""
| 14.25 | 48 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.982456 |
581495876b03363b5fef74a09d461c434b90c0d7 | 8,344 | py | Python | glog.py | leoll2/python-glog | c809d16352bf061d0ee38e590c6f28d553d740e7 | [
"BSD-2-Clause"
] | null | null | null | glog.py | leoll2/python-glog | c809d16352bf061d0ee38e590c6f28d553d740e7 | [
"BSD-2-Clause"
] | null | null | null | glog.py | leoll2/python-glog | c809d16352bf061d0ee38e590c6f28d553d740e7 | [
"BSD-2-Clause"
] | null | null | null | """A simple Google-style logging wrapper."""
import logging
import time
import traceback
import os
import sys
import gflags as flags
FLAGS = flags.FLAGS
def format_message(record):
try:
record_message = "%s" % (record.msg % record.args)
except TypeError:
record_message = record.msg
retu... | 27.447368 | 90 | 0.615532 | 2,683 | 0.321548 | 0 | 0 | 0 | 0 | 0 | 0 | 1,843 | 0.220877 |
581495ab37cf4df801b88c86040220d6464bbc32 | 4,141 | py | Python | ref_rna.py | entn-at/warp-rna | f6bf19634564068f23f9906373754e04f9b653a3 | [
"MIT"
] | 39 | 2019-08-11T09:06:55.000Z | 2022-03-30T03:24:34.000Z | ref_rna.py | entn-at/warp-rna | f6bf19634564068f23f9906373754e04f9b653a3 | [
"MIT"
] | null | null | null | ref_rna.py | entn-at/warp-rna | f6bf19634564068f23f9906373754e04f9b653a3 | [
"MIT"
] | 6 | 2019-12-11T03:02:48.000Z | 2021-11-29T09:01:51.000Z | """
Python reference implementation of the Recurrent Neural Aligner.
Author: Ivan Sorokin
Based on the papers:
- "Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping"
Hasim Sak, et al., 2017
- "Extending Recurrent Neural Aligner for Streaming End-to-End Speech Rec... | 26.544872 | 103 | 0.59744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 606 | 0.146341 |
581517f5427032699dff194265e55b485b52ab39 | 2,994 | py | Python | tests/coretests.py | thomasms/coiny | 1f51eac2542e46b03abd9f66fd3b58fbd80cb177 | [
"MIT"
] | null | null | null | tests/coretests.py | thomasms/coiny | 1f51eac2542e46b03abd9f66fd3b58fbd80cb177 | [
"MIT"
] | null | null | null | tests/coretests.py | thomasms/coiny | 1f51eac2542e46b03abd9f66fd3b58fbd80cb177 | [
"MIT"
] | null | null | null | import unittest
from typing import Any
from coiny.core import CoinPrice, CoinyQueue, CoinySession, price_now_url, price_task
from coiny.utils import NullCoinPrice
class HasJson:
def __init__(self, data) -> None:
self.data = data
async def __aenter__(self):
return self
async def __aexit_... | 34.022727 | 85 | 0.62024 | 2,793 | 0.932866 | 0 | 0 | 0 | 0 | 2,614 | 0.873079 | 462 | 0.154309 |
5816e949ba4a9d3600362e45768d66548fbd4d4b | 969 | py | Python | legacy/dx/simulator/simulator_diagnoser/test/graph/traversal/forward_test.py | GaloisInc/adapt | 2ccff778d3e77505899266572f8f7caacb5b630f | [
"BSD-3-Clause"
] | 2 | 2020-04-09T13:04:25.000Z | 2021-09-24T14:17:26.000Z | legacy/dx/simulator/simulator_diagnoser/test/graph/traversal/forward_test.py | GaloisInc/adapt | 2ccff778d3e77505899266572f8f7caacb5b630f | [
"BSD-3-Clause"
] | null | null | null | legacy/dx/simulator/simulator_diagnoser/test/graph/traversal/forward_test.py | GaloisInc/adapt | 2ccff778d3e77505899266572f8f7caacb5b630f | [
"BSD-3-Clause"
] | 3 | 2019-09-20T20:49:54.000Z | 2021-09-02T17:33:47.000Z | import unittest
from simulator_diagnoser.graph import InmemoryGraph
from simulator_diagnoser.graph.traversal import ForwardAnalysis
class ForwardAnalysisTest(unittest.TestCase):
def setUp(self):
# Graph =
# 9
# / | \
# 6 7 8
# \ / \ /
# 4 5
#... | 24.846154 | 69 | 0.49742 | 786 | 0.811146 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.089783 |
581774fbaaecfebcc97c105cd9ba5717bc57c3de | 5,396 | py | Python | SONOS/sonos-fadein-alarm.py | tksunw/IoT | 2148c49e9a90822400f195be7b1de3f8e8b8ba2a | [
"MIT"
] | 1 | 2018-01-30T23:30:27.000Z | 2018-01-30T23:30:27.000Z | SONOS/sonos-fadein-alarm.py | tksunw/IoT | 2148c49e9a90822400f195be7b1de3f8e8b8ba2a | [
"MIT"
] | 1 | 2018-02-14T19:58:56.000Z | 2018-02-14T19:58:56.000Z | SONOS/sonos-fadein-alarm.py | tksunw/IoT | 2148c49e9a90822400f195be7b1de3f8e8b8ba2a | [
"MIT"
] | 2 | 2018-02-13T18:52:09.000Z | 2021-09-29T14:27:49.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
sonos-fadein-alarm.py - a gentle alarm using Sonos Favorites.
This module allows a user to choose a SONOS favorite channel to
play for a gentle alarm. Select the maximum desired volume, the
number of minutes over which to ramp volume from 0 to the chosen
maxium, and choose... | 38.542857 | 137 | 0.623981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,861 | 0.530208 |
58183b1abecb86537c0a52b35966e7d8ef3e9a5f | 5,775 | py | Python | Agent5_a_0_5_knots_512_d_0_02/step_node_Agent6_rewards.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | Agent5_a_0_5_knots_512_d_0_02/step_node_Agent6_rewards.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | Agent5_a_0_5_knots_512_d_0_02/step_node_Agent6_rewards.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import math
import os
import numpy as np
import time
import sys
import copy
import rospy
import moveit_msgs.msg
import geometry_msgs.msg
import random
import csv
from sensor_msgs.msg import JointState
from gazebo_msgs.msg import LinkStates
from gazebo_msgs.msg import LinkState
from std_msgs.msg i... | 35.429448 | 151 | 0.675152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 398 | 0.068882 |
5818909f1789bffb946f4dcc647ac54b08e00f22 | 10,043 | py | Python | pwnlib/elf/corefile.py | jdsecurity/binjitsu | 999ad632004bfc3e623eead20eb11de98fc1f4dd | [
"MIT"
] | 5 | 2018-05-15T13:00:56.000Z | 2020-02-09T14:29:00.000Z | pwnlib/elf/corefile.py | FDlucifer/binjitsu | 999ad632004bfc3e623eead20eb11de98fc1f4dd | [
"MIT"
] | null | null | null | pwnlib/elf/corefile.py | FDlucifer/binjitsu | 999ad632004bfc3e623eead20eb11de98fc1f4dd | [
"MIT"
] | 6 | 2017-09-07T02:31:11.000Z | 2021-07-05T16:59:18.000Z | import collections
import ctypes
import elftools
from elftools.common.utils import roundup, struct_parse
from elftools.common.py3compat import bytes2str
from elftools.construct import CString
from ..context import context
from ..log import getLogger
from .datatypes import *
from .elf import ELF
from ..tubes.tube impo... | 34.631034 | 103 | 0.54416 | 8,594 | 0.85572 | 860 | 0.085632 | 389 | 0.038733 | 0 | 0 | 2,851 | 0.283879 |
5819716bac9c4b729336569c993ab6648380ee01 | 2,875 | py | Python | kNN.py | skywind3000/ml | d3ac3d6070b66d84e25537915ee634723ddb8c51 | [
"MIT"
] | 9 | 2019-03-25T02:14:23.000Z | 2020-05-19T20:46:10.000Z | kNN.py | skywind3000/ml | d3ac3d6070b66d84e25537915ee634723ddb8c51 | [
"MIT"
] | null | null | null | kNN.py | skywind3000/ml | d3ac3d6070b66d84e25537915ee634723ddb8c51 | [
"MIT"
] | 2 | 2020-07-06T04:44:02.000Z | 2022-02-17T01:27:55.000Z | from __future__ import print_function
import numpy as np
import operator
import os
import sys
if sys.version_info[0] >= 3:
xrange = range
def createDataSet():
group = np.array([[1.0,1.1], [1.0,1.0], [0,0], [0,0.1]])
labels = ['A', 'A', 'B', 'B']
return group, labels
# kNN classifier
de... | 33.823529 | 85 | 0.619478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 421 | 0.146435 |
5819a9286725e2bb1d31cefd9b8edf4e2e05b208 | 642 | py | Python | simfin/revenue/personal_taxes.py | CREEi-models/simfin | a7c632ac8bc8f795cd46028c1a49e65a1c1b44eb | [
"MIT"
] | 1 | 2021-06-11T15:16:13.000Z | 2021-06-11T15:16:13.000Z | simfin/revenue/personal_taxes.py | CREEi-models/simfin | a7c632ac8bc8f795cd46028c1a49e65a1c1b44eb | [
"MIT"
] | 1 | 2021-06-07T14:39:27.000Z | 2021-06-07T14:39:27.000Z | simfin/revenue/personal_taxes.py | CREEi-models/simfin | a7c632ac8bc8f795cd46028c1a49e65a1c1b44eb | [
"MIT"
] | 1 | 2021-03-17T03:52:21.000Z | 2021-03-17T03:52:21.000Z | from simfin.tools import account
class personal_taxes(account):
'''
Classe permettant d'intégrer l'impôt des particuliers.
'''
def set_align(self,pop,eco):
earnings = pop.multiply(eco['emp']*eco['earn_c']+eco['taxinc'],fill_value=0.0)
value = earnings.multiply(eco['personal_taxes'],fi... | 33.789474 | 95 | 0.65109 | 609 | 0.945652 | 0 | 0 | 0 | 0 | 0 | 0 | 146 | 0.226708 |
5819cc4c01f213155dbdad2c086e2c95b1ccd432 | 16,094 | py | Python | pandaserver/brokerage/PandaSiteIDs.py | rybkine/panda-server | 30fdeaa658a38fe2049849446c300c1e1f5b5231 | [
"Apache-2.0"
] | 1 | 2019-08-30T13:47:51.000Z | 2019-08-30T13:47:51.000Z | pandaserver/brokerage/PandaSiteIDs.py | mkycanopus/panda-server | 0f7c36800c033fada8bbde53dceaab98770b6df2 | [
"Apache-2.0"
] | null | null | null | pandaserver/brokerage/PandaSiteIDs.py | mkycanopus/panda-server | 0f7c36800c033fada8bbde53dceaab98770b6df2 | [
"Apache-2.0"
] | null | null | null | # !!!!!!! This file is OBSOLETE. Its content has been absorbed into pilotController.py in the autopilot repository.
# !!!!!!! Questions to Torre Wenaus.
PandaSiteIDs = {
'AGLT2' : {'nickname':'AGLT2-condor','status':'OK'},
'ALBERTA-LCG2' : {'nickname':'ALBERTA-LCG2-lcgce01-atlas-lcgpb... | 80.874372 | 115 | 0.541258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11,140 | 0.692183 |
581c0ca0e2bb4ab7335e22da97be7ac35a4e0e71 | 513 | py | Python | tools/scenario-player/scenario_player/exceptions.py | karlb/raiden | 61ade0559add1a97588ae6bdedd5e0b99ed41de3 | [
"MIT"
] | 8 | 2019-06-12T14:50:06.000Z | 2022-02-15T16:20:07.000Z | tools/scenario-player/scenario_player/exceptions.py | karlb/raiden | 61ade0559add1a97588ae6bdedd5e0b99ed41de3 | [
"MIT"
] | 141 | 2019-06-18T13:04:08.000Z | 2021-11-23T22:00:32.000Z | tools/scenario-player/scenario_player/exceptions.py | karlb/raiden | 61ade0559add1a97588ae6bdedd5e0b99ed41de3 | [
"MIT"
] | 17 | 2019-05-21T18:09:05.000Z | 2020-10-29T13:01:01.000Z | class ScenarioError(Exception):
pass
class ScenarioTxError(ScenarioError):
pass
class TokenRegistrationError(ScenarioTxError):
pass
class ChannelError(ScenarioError):
pass
class TransferFailed(ScenarioError):
pass
class NodesUnreachableError(ScenarioError):
pass
class RESTAPIError(Sc... | 13.153846 | 48 | 0.769981 | 485 | 0.945419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
581d47d6e3101d07297475a1a84d27b2898647b8 | 1,002 | py | Python | explain.py | jcsalterego/gh-contest | 033f87c5338e3066ee4c80df2ee8e1ae4d6f1c7b | [
"BSD-3-Clause"
] | 1 | 2015-11-05T02:50:57.000Z | 2015-11-05T02:50:57.000Z | explain.py | jcsalterego/gh-contest | 033f87c5338e3066ee4c80df2ee8e1ae4d6f1c7b | [
"BSD-3-Clause"
] | null | null | null | explain.py | jcsalterego/gh-contest | 033f87c5338e3066ee4c80df2ee8e1ae4d6f1c7b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from pprint import pprint
from matchmaker.database import *
import sys
def main(argv):
if len(argv) == 1:
return
line = argv[1]
if line[0] in '+-':
line = line[1:]
user, repos = line.split(":")
user = int(user)
repos = [int(r) for r in repos.split(",")]
... | 22.266667 | 58 | 0.505988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.158683 |
581e242497be1d7d21237861371ea688ae66e1e5 | 3,862 | py | Python | qiskit/pulse/commands/command.py | EnriqueL8/qiskit-terra | 08b801f1f8598c4e44680b4a75c232ed92db0262 | [
"Apache-2.0"
] | 2 | 2019-06-28T19:58:42.000Z | 2019-07-26T05:04:02.000Z | qiskit/pulse/commands/command.py | EnriqueL8/qiskit-terra | 08b801f1f8598c4e44680b4a75c232ed92db0262 | [
"Apache-2.0"
] | 3 | 2018-11-13T17:33:37.000Z | 2018-12-03T09:35:00.000Z | qiskit/pulse/commands/command.py | EnriqueL8/qiskit-terra | 08b801f1f8598c4e44680b4a75c232ed92db0262 | [
"Apache-2.0"
] | 2 | 2017-12-03T15:48:14.000Z | 2018-03-11T13:08:03.000Z | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 31.398374 | 98 | 0.599689 | 3,124 | 0.808907 | 0 | 0 | 1,841 | 0.476696 | 0 | 0 | 1,662 | 0.430347 |
581f418d3f23d0acfebe881f3102cd64dfbdffef | 6,654 | py | Python | data_loader/data_loaders.py | brendanwallison/birds | b70c01b8c953dfa172c65a51f7bdf100e47853d3 | [
"MIT"
] | null | null | null | data_loader/data_loaders.py | brendanwallison/birds | b70c01b8c953dfa172c65a51f7bdf100e47853d3 | [
"MIT"
] | null | null | null | data_loader/data_loaders.py | brendanwallison/birds | b70c01b8c953dfa172c65a51f7bdf100e47853d3 | [
"MIT"
] | null | null | null | from torchvision import datasets, transforms
from torchvision.transforms import functional as TF
from base import BaseDataLoader
from six.moves import urllib
from parse_config import ConfigParser
# downloads
import requests
import json
from collections import Counter
import os
import errno
import csv
import numpy as ... | 37.382022 | 172 | 0.622483 | 6,048 | 0.908927 | 0 | 0 | 0 | 0 | 0 | 0 | 1,173 | 0.176285 |
5820628189dcbe4c683064fd6478349ee7f02524 | 5,855 | py | Python | stockscanner/model/portfolio/portfolio.py | adityazagade/StockScanner | 4aecf886a8858757e4720b68d0af5ed94f4d371a | [
"Apache-2.0"
] | null | null | null | stockscanner/model/portfolio/portfolio.py | adityazagade/StockScanner | 4aecf886a8858757e4720b68d0af5ed94f4d371a | [
"Apache-2.0"
] | null | null | null | stockscanner/model/portfolio/portfolio.py | adityazagade/StockScanner | 4aecf886a8858757e4720b68d0af5ed94f4d371a | [
"Apache-2.0"
] | null | null | null | from datetime import date
from typing import List
from stockscanner.model.asset.asset_type import AssetType
from stockscanner.model.exceptions.exceptions import AssetNotFoundException
from stockscanner.model.asset.asset import Asset
from stockscanner.model.asset.cash import Cash
from stockscanner.model.asset.debt impo... | 37.056962 | 113 | 0.640649 | 5,413 | 0.924509 | 0 | 0 | 0 | 0 | 0 | 0 | 640 | 0.109308 |
5820f326461279dab8c970a64d716534511d2f87 | 2,478 | py | Python | python/zdl/error_logger/error_logger/url_rules/report.py | wjiec/packages | 4ccaf8f717265a1f8a9af533f9a998b935efb32a | [
"MIT"
] | null | null | null | python/zdl/error_logger/error_logger/url_rules/report.py | wjiec/packages | 4ccaf8f717265a1f8a9af533f9a998b935efb32a | [
"MIT"
] | 1 | 2016-09-15T07:06:15.000Z | 2016-09-15T07:06:15.000Z | python/zdl/error_logger/error_logger/url_rules/report.py | wjiec/packages | 4ccaf8f717265a1f8a9af533f9a998b935efb32a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (C) 2017
import json
import time
from error_logger.url_rules import _base_url_rule
# from error_logger.net import sms_notification, email_notification
from error_logger.utils import generic
class Report(_base_url_rule.BaseUrlRule):
__url__ = '/report'
__methods__ = ['POST... | 36.441176 | 84 | 0.506053 | 2,249 | 0.907587 | 0 | 0 | 0 | 0 | 0 | 0 | 642 | 0.25908 |
58230301eafe03e15cb587a17b91ac8b8de815f2 | 246 | py | Python | cli/commands/update.py | gamesbrainiac/cli | bba7285607a8644911f720d1ceb1404ab502bf00 | [
"Apache-2.0"
] | null | null | null | cli/commands/update.py | gamesbrainiac/cli | bba7285607a8644911f720d1ceb1404ab502bf00 | [
"Apache-2.0"
] | null | null | null | cli/commands/update.py | gamesbrainiac/cli | bba7285607a8644911f720d1ceb1404ab502bf00 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import click
from .. import cli
@cli.cli.command(hidden=True)
def update():
"""
Look for new version updates to CLI
"""
# TODO create update command
click.echo('Sorry, command not programmed yet.')
| 16.4 | 52 | 0.630081 | 0 | 0 | 0 | 0 | 185 | 0.752033 | 0 | 0 | 138 | 0.560976 |
5823914afc52a344ae37dba70fad832cd069531a | 2,397 | py | Python | test/test_sl/test_model/test_data.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | test/test_sl/test_model/test_data.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | test/test_sl/test_model/test_data.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | import unittest
import numpy as np
import pandas as pd
import mlsurvey as mls
class TestData(unittest.TestCase):
def test_to_dict_dict_should_be_set(self):
"""
:test : mlsurvey.model.Data.to_dict()
:condition : x,y, y_pred data are filled.
:main_result : the dictionary generated... | 35.776119 | 93 | 0.570296 | 2,314 | 0.965373 | 0 | 0 | 0 | 0 | 0 | 0 | 776 | 0.323738 |
582469a40acf21b2f0921b0060688c700c098a03 | 1,126 | py | Python | baidu_verify_response.py | CodingDogzxg/Verifycode_ocr | 6f1bdac2137993695cb4591afd1b47931680b204 | [
"MIT"
] | null | null | null | baidu_verify_response.py | CodingDogzxg/Verifycode_ocr | 6f1bdac2137993695cb4591afd1b47931680b204 | [
"MIT"
] | null | null | null | baidu_verify_response.py | CodingDogzxg/Verifycode_ocr | 6f1bdac2137993695cb4591afd1b47931680b204 | [
"MIT"
] | null | null | null | # encoding:utf-8
import requests
import base64
import time
'''
通用文字识别
'''
request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic"
access_token = '' # 百度AI的token access 详情请去看文档
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/x-www-form-urlencoded'}
f... | 35.1875 | 98 | 0.619005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 416 | 0.348993 |
5824ba4bea2f64074dbcd56d9e462c95a3407e0f | 11,478 | py | Python | nets/efficientdet_training.py | BikesSaver/efficientdet-pytorch | c1e02484733cf2080ecb2ee57c184038a77a09e8 | [
"MIT"
] | 1 | 2020-09-17T00:51:38.000Z | 2020-09-17T00:51:38.000Z | nets/efficientdet_training.py | BikesSaver/efficientdet-pytorch | c1e02484733cf2080ecb2ee57c184038a77a09e8 | [
"MIT"
] | null | null | null | nets/efficientdet_training.py | BikesSaver/efficientdet-pytorch | c1e02484733cf2080ecb2ee57c184038a77a09e8 | [
"MIT"
] | null | null | null |
from random import shuffle
import numpy as np
import torch
import torch.nn as nn
import math
import torch.nn.functional as F
import cv2
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
from PIL import Image
from .RepulsionLoss.my_repulsion_loss import repulsion
def preprocess_input(image):
image /= 255
... | 37.756579 | 141 | 0.560202 | 8,712 | 0.748454 | 1,010 | 0.08677 | 0 | 0 | 0 | 0 | 690 | 0.059278 |
58252e686b16a8b93824251a6782b7d24afd2761 | 267 | py | Python | project/wsgi.py | devluci/django-rest-base-boilerplate | 0cf512e00aca66ebf9908351527d701cd421ccd4 | [
"MIT"
] | null | null | null | project/wsgi.py | devluci/django-rest-base-boilerplate | 0cf512e00aca66ebf9908351527d701cd421ccd4 | [
"MIT"
] | null | null | null | project/wsgi.py | devluci/django-rest-base-boilerplate | 0cf512e00aca66ebf9908351527d701cd421ccd4 | [
"MIT"
] | null | null | null | import os
from django.core.wsgi import get_wsgi_application
from rest_base.utils import dotenv
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'project.settings')
dotenv.load(os.path.join(os.path.dirname(__file__), '../.env'))
application = get_wsgi_application()
| 26.7 | 67 | 0.797753 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0.191011 |
5825efbd85281c5ef1426be58d4c0871b10dcdf9 | 3,445 | py | Python | tests/test_coco_dataset.py | petersiemen/CVND---Image-Captioning-Project | 53d15c5f2b9d5e04b007f4f8b1e4f9dd17425c06 | [
"MIT"
] | null | null | null | tests/test_coco_dataset.py | petersiemen/CVND---Image-Captioning-Project | 53d15c5f2b9d5e04b007f4f8b1e4f9dd17425c06 | [
"MIT"
] | null | null | null | tests/test_coco_dataset.py | petersiemen/CVND---Image-Captioning-Project | 53d15c5f2b9d5e04b007f4f8b1e4f9dd17425c06 | [
"MIT"
] | null | null | null | from .context import CoCoDataset
import os
from torchvision import transforms
import torch.utils.data as data
from src.data_loader import get_loader
from context import COCO_SMALL
from context import clean_sentence
def test_coco_dataset():
transform_train = transforms.Compose([
transforms.Resize(256), # ... | 39.147727 | 93 | 0.608128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 753 | 0.218578 |
5828ffc478a57b5d3a54d1d5409d86dcb72100d1 | 5,019 | py | Python | test/retro-fuse-test.py | jaylogue/retro-fuse | b300865c1aa4c38930adea66de364f182c73b3b5 | [
"Apache-2.0"
] | 28 | 2021-02-23T06:00:16.000Z | 2022-02-28T13:38:48.000Z | test/retro-fuse-test.py | jaylogue/retro-fuse | b300865c1aa4c38930adea66de364f182c73b3b5 | [
"Apache-2.0"
] | 3 | 2021-09-22T12:37:59.000Z | 2022-02-01T00:33:25.000Z | test/retro-fuse-test.py | jaylogue/retro-fuse | b300865c1aa4c38930adea66de364f182c73b3b5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
#
# Copyright 2021 Jay Logue
#
# 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 la... | 38.312977 | 139 | 0.695557 | 1,667 | 0.332138 | 0 | 0 | 0 | 0 | 0 | 0 | 1,606 | 0.319984 |
582a2d15de4e22e6a4241b45670672383e57c857 | 387 | py | Python | docker/app.py | dramasamy/kubernetes_training | a5f48d540b7b6e9a79b5ab60f62a13a792f1b0e5 | [
"Apache-2.0"
] | 1 | 2022-03-22T22:31:32.000Z | 2022-03-22T22:31:32.000Z | docker/app.py | dramasamy/training | af7b9352b56c10aaa957062f24f1302a7a4c5797 | [
"Apache-2.0"
] | null | null | null | docker/app.py | dramasamy/training | af7b9352b56c10aaa957062f24f1302a7a4c5797 | [
"Apache-2.0"
] | null | null | null | #! /bin/python
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello():
return "Hello World! - v1"
@app.route('/<name>')
def hello_name(name):
return "Hello {}! - v1".format(name)
@app.route('/audio')
def audio():
return "Audio - v1"
@app.route('/video')
def video():
return "Vi... | 13.821429 | 40 | 0.596899 | 0 | 0 | 0 | 0 | 257 | 0.664083 | 0 | 0 | 120 | 0.310078 |
582b2e616da4b6c095b0fcc22d4f757b4b8fddc7 | 4,374 | py | Python | creme/cluster/k_means.py | tweakyllama/creme | 6bb8e34789947a943e7e6a8a1af1341e4c1de144 | [
"BSD-3-Clause"
] | null | null | null | creme/cluster/k_means.py | tweakyllama/creme | 6bb8e34789947a943e7e6a8a1af1341e4c1de144 | [
"BSD-3-Clause"
] | null | null | null | creme/cluster/k_means.py | tweakyllama/creme | 6bb8e34789947a943e7e6a8a1af1341e4c1de144 | [
"BSD-3-Clause"
] | 2 | 2021-06-20T09:29:38.000Z | 2021-06-23T07:47:21.000Z | import collections
import numpy as np
from sklearn import utils
from .. import base
__all__ = ['KMeans']
def euclidean_distance(a, b):
return sum((a.get(k, 0) - b.get(k, 0)) ** 2 for k in set([*a.keys(), *b.keys()]))
class KMeans(base.Clusterer):
"""Incremental k-means.
The most common way to imple... | 37.384615 | 123 | 0.633973 | 4,144 | 0.947417 | 0 | 0 | 238 | 0.054412 | 0 | 0 | 2,907 | 0.664609 |
582ee3ae3eed760c8ee30d3cb820c5796139122b | 42,165 | py | Python | fasttrips/TAZ.py | pedrocamargo/fast-trips | a2549936b2707b00d6c21b4e6ae4be8fefd0aa46 | [
"Apache-2.0"
] | 3 | 2017-11-03T00:18:23.000Z | 2020-11-30T18:54:46.000Z | fasttrips/TAZ.py | pedrocamargo/fast-trips | a2549936b2707b00d6c21b4e6ae4be8fefd0aa46 | [
"Apache-2.0"
] | null | null | null | fasttrips/TAZ.py | pedrocamargo/fast-trips | a2549936b2707b00d6c21b4e6ae4be8fefd0aa46 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
from __future__ import division
from builtins import str
from builtins import object
__copyright__ = "Copyright 2015 Contributing Entities"
__license__ = """
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with... | 57.681259 | 157 | 0.628958 | 41,181 | 0.976663 | 0 | 0 | 0 | 0 | 0 | 0 | 13,236 | 0.31391 |
58309191f39ca5397068401c1360251a2a11c48a | 2,686 | py | Python | tests/test_stardist2D.py | ianbgroves/stardist | 6524c27d01c625dabfd75b1443dd46ccb1cb3dcd | [
"BSD-3-Clause"
] | 1 | 2021-02-05T11:59:39.000Z | 2021-02-05T11:59:39.000Z | tests/test_stardist2D.py | ianbgroves/stardist | 6524c27d01c625dabfd75b1443dd46ccb1cb3dcd | [
"BSD-3-Clause"
] | 1 | 2020-06-17T09:06:29.000Z | 2020-06-17T09:06:29.000Z | tests/test_stardist2D.py | ianbgroves/stardist | 6524c27d01c625dabfd75b1443dd46ccb1cb3dcd | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from stardist import star_dist, relabel_image_stardist
import pytest
from utils import random_image, real_image2d, check_similar, circle_image
@pytest.mark.parametrize('img', (real_image2d()[1], random_image((128, 123))))
@pytest.mark.parametrize('n_rays', (4, 16, 32))
def test_types(img, n_rays):
... | 36.794521 | 95 | 0.655249 | 0 | 0 | 0 | 0 | 2,403 | 0.894639 | 0 | 0 | 360 | 0.134028 |
583228f93313973cc02c96e9d032138aeb10b053 | 26,395 | py | Python | all_call/infer_new.py | jbudis/dante | 90177c33825d5f9ce3fba5463092fbcf20b72fe2 | [
"Apache-2.0"
] | 4 | 2018-09-28T14:50:47.000Z | 2021-08-09T12:46:12.000Z | all_call/infer_new.py | jbudis/dante | 90177c33825d5f9ce3fba5463092fbcf20b72fe2 | [
"Apache-2.0"
] | 6 | 2019-01-02T13:08:31.000Z | 2021-03-25T21:45:40.000Z | all_call/infer_new.py | jbudis/dante | 90177c33825d5f9ce3fba5463092fbcf20b72fe2 | [
"Apache-2.0"
] | 1 | 2017-12-12T10:38:26.000Z | 2017-12-12T10:38:26.000Z | import math
import functools
from scipy.stats import binom
import numpy as np
import itertools
import sys
import matplotlib.pyplot as plt
import matplotlib.patheffects as PathEffects
from copy import copy
def combine_distribs(deletes, inserts):
"""
Combine insert and delete models/distributions
:param de... | 44.21273 | 183 | 0.633567 | 22,778 | 0.862966 | 0 | 0 | 1,607 | 0.060883 | 0 | 0 | 11,052 | 0.418716 |
583374a576c3edb6be71e460848c9177cb1eee6a | 18,398 | py | Python | createbag.py | axfelix/moveit | a0d4207fdd90af8f05a5c55b4b247757cd6d7bb2 | [
"Unlicense"
] | null | null | null | createbag.py | axfelix/moveit | a0d4207fdd90af8f05a5c55b4b247757cd6d7bb2 | [
"Unlicense"
] | null | null | null | createbag.py | axfelix/moveit | a0d4207fdd90af8f05a5c55b4b247757cd6d7bb2 | [
"Unlicense"
] | null | null | null | """
GUI tool to create a Bag from a filesystem folder.
"""
import sys
import os
import shutil
import bagit
import platform
import random
import string
import re
from time import strftime
import subprocess
from paramiko import SSHClient
from paramiko import AutoAddPolicy
from paramiko import AuthenticationException
fro... | 35.655039 | 236 | 0.72709 | 5,085 | 0.276389 | 0 | 0 | 0 | 0 | 0 | 0 | 4,813 | 0.261605 |
583491d9c92a8b53e562e95c5e8cebcf67dc3f00 | 10,937 | py | Python | code/python-neo/neo/core/basesignal.py | qniksefat/macaque_brain_causality_test | 24cd5caee3ae79066ca37844cab931d04dcad977 | [
"CC-BY-4.0",
"BSD-3-Clause"
] | null | null | null | code/python-neo/neo/core/basesignal.py | qniksefat/macaque_brain_causality_test | 24cd5caee3ae79066ca37844cab931d04dcad977 | [
"CC-BY-4.0",
"BSD-3-Clause"
] | null | null | null | code/python-neo/neo/core/basesignal.py | qniksefat/macaque_brain_causality_test | 24cd5caee3ae79066ca37844cab931d04dcad977 | [
"CC-BY-4.0",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
'''
This module implements :class:`BaseSignal`, an array of signals.
This is a parent class from which all signal objects inherit:
:class:`AnalogSignal` and :class:`IrregularlySampledSignal`
:class:`BaseSignal` inherits from :class:`quantities.Quantity`, which
inherits from :class:`numpy.ar... | 37.713793 | 98 | 0.633172 | 9,932 | 0.90811 | 0 | 0 | 847 | 0.077444 | 0 | 0 | 4,932 | 0.450946 |
5835a4f4779f435b367bd40c05663242713c67ad | 3,038 | py | Python | Morocco model/scripts/cropland_processing.py | KTH-dESA/FAO | 74459217a9e8ad8107b1d3a96fd52eebd93daebd | [
"MIT"
] | 3 | 2020-09-17T11:12:52.000Z | 2021-03-31T09:24:02.000Z | Morocco model/scripts/cropland_processing.py | KTH-dESA/FAO | 74459217a9e8ad8107b1d3a96fd52eebd93daebd | [
"MIT"
] | 101 | 2019-10-02T10:16:28.000Z | 2021-06-05T06:42:55.000Z | Morocco model/scripts/cropland_processing.py | KTH-dESA/FAO | 74459217a9e8ad8107b1d3a96fd52eebd93daebd | [
"MIT"
] | 2 | 2020-02-23T13:28:00.000Z | 2021-03-31T10:02:46.000Z | import sys
sys.path.append("..") #this is to add the avobe folder to the package directory
import geopandas as gpd
import pandas as pd
import numpy as np
import os
from nexustool.gis_tools import download_data, create_time_data, get_area_share, get_zonal_stats
from nexustool.weap_tools import reproject_raster, sample_r... | 40.506667 | 195 | 0.711982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,053 | 0.346382 |
58394701554d3a507c68ce7bd347905779a7cb27 | 891 | py | Python | dl_data_validation_toolset/framework/report_gen/group.py | kwierman/dl_data_validation_toolset | fb0486abd000ba28c6474f8979762c92fb4ee038 | [
"MIT"
] | 1 | 2017-08-24T00:46:47.000Z | 2017-08-24T00:46:47.000Z | dl_data_validation_toolset/framework/report_gen/group.py | kwierman/dl_data_validation_toolset | fb0486abd000ba28c6474f8979762c92fb4ee038 | [
"MIT"
] | 177 | 2017-04-10T23:03:27.000Z | 2022-03-28T22:07:54.000Z | dl_data_validation_toolset/framework/report_gen/group.py | HEP-DL/dl_data_validation_toolset | fb0486abd000ba28c6474f8979762c92fb4ee038 | [
"MIT"
] | null | null | null | from .file import FileGenerator
from ..report.group import GroupReport
import logging
import asyncio
import os
class GroupGenerator(object):
logger = logging.getLogger("ddvt.rep_gen.grp")
def __init__(self, group):
self.meta = group
async def generate(self, parent):
self.logger.info("Generating Group ... | 31.821429 | 75 | 0.725028 | 777 | 0.872054 | 0 | 0 | 0 | 0 | 643 | 0.721661 | 84 | 0.094276 |
583a1302a3f7562a97c1476d70bc500c24d60c4f | 174 | py | Python | glanceclient/common/exceptions.py | citrix-openstack-build/python-glanceclient | 32d9c42816b608220ae5692e573142dab6534604 | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | tools/dockerize/webportal/usr/lib/python2.7/site-packages/glanceclient/common/exceptions.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | tools/dockerize/webportal/usr/lib/python2.7/site-packages/glanceclient/common/exceptions.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | # This is here for compatability purposes. Once all known OpenStack clients
# are updated to use glanceclient.exc, this file should be removed
from glanceclient.exc import *
| 43.5 | 75 | 0.804598 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 141 | 0.810345 |
583a2eef001a72cf9b9737ee6ef5ed10dc5f494d | 1,458 | py | Python | api/scpca_portal/views/filter_options.py | AlexsLemonade/scpca-portal | d60d6db5abe892ed58764128269df936778c6fd7 | [
"BSD-3-Clause"
] | null | null | null | api/scpca_portal/views/filter_options.py | AlexsLemonade/scpca-portal | d60d6db5abe892ed58764128269df936778c6fd7 | [
"BSD-3-Clause"
] | 85 | 2021-07-27T14:33:55.000Z | 2022-03-28T20:18:41.000Z | api/scpca_portal/views/filter_options.py | AlexsLemonade/scpca-portal | d60d6db5abe892ed58764128269df936778c6fd7 | [
"BSD-3-Clause"
] | null | null | null | from django.http import JsonResponse
from rest_framework import status, viewsets
from scpca_portal.models import Project
class FilterOptionsViewSet(viewsets.ViewSet):
def list(self, request):
dicts = (
Project.objects.order_by()
.values("diagnoses", "seq_units", "technologies", "m... | 33.136364 | 75 | 0.577503 | 1,333 | 0.914266 | 0 | 0 | 0 | 0 | 0 | 0 | 208 | 0.142661 |
583a4439342b3be3a1f5a61fbbd79630bf4f80cd | 409 | py | Python | cords/selectionstrategies/SL/__init__.py | krishnatejakk/AUTOMATA | fd0cf58058e39660f88d9d6b4101e30a497f6ce2 | [
"MIT"
] | null | null | null | cords/selectionstrategies/SL/__init__.py | krishnatejakk/AUTOMATA | fd0cf58058e39660f88d9d6b4101e30a497f6ce2 | [
"MIT"
] | null | null | null | cords/selectionstrategies/SL/__init__.py | krishnatejakk/AUTOMATA | fd0cf58058e39660f88d9d6b4101e30a497f6ce2 | [
"MIT"
] | 1 | 2022-03-16T05:55:12.000Z | 2022-03-16T05:55:12.000Z | from .craigstrategy import CRAIGStrategy
from .dataselectionstrategy import DataSelectionStrategy
from .glisterstrategy import GLISTERStrategy
from .randomstrategy import RandomStrategy
from .submodularselectionstrategy import SubmodularSelectionStrategy
from .gradmatchstrategy import GradMatchStrategy
from .fixedweigh... | 51.125 | 68 | 0.904645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
583a53eef1dad89d42938f5028c87aba4efb30bb | 10,917 | py | Python | pycost/rocch.py | tfawcett/pycost | 69f96866295dba937a23f36c8f24f2f6acdaccbd | [
"BSD-3-Clause"
] | 1 | 2019-10-05T10:37:47.000Z | 2019-10-05T10:37:47.000Z | pycost/rocch.py | tfawcett/pycost | 69f96866295dba937a23f36c8f24f2f6acdaccbd | [
"BSD-3-Clause"
] | null | null | null | pycost/rocch.py | tfawcett/pycost | 69f96866295dba937a23f36c8f24f2f6acdaccbd | [
"BSD-3-Clause"
] | 1 | 2020-06-12T17:13:14.000Z | 2020-06-12T17:13:14.000Z | """
Metrics to calculate and manipulate the ROC Convex Hull on a classification task given scores.
"""
# Author: Tom Fawcett <[email protected]>
from collections import namedtuple
from math import sqrt
from typing import List, Dict, Tuple, Union
# DESCRIPTION:
#
# This program computes the convex hull of a set... | 33.798762 | 100 | 0.612989 | 6,358 | 0.582394 | 0 | 0 | 406 | 0.03719 | 0 | 0 | 6,839 | 0.626454 |
583a8bbe4d63a96ce53555ed1fbf8f8d31b49bdb | 846 | py | Python | all_raspi_code_backup/DriveTesting.py | lord-pradhan/SnowBot | 82a0b3439dc203bf27725e293d6e56bcad720c09 | [
"MIT"
] | 2 | 2020-05-31T07:37:59.000Z | 2021-03-24T13:43:39.000Z | all_raspi_code_backup/DriveTesting.py | lord-pradhan/SnowBot | 82a0b3439dc203bf27725e293d6e56bcad720c09 | [
"MIT"
] | null | null | null | all_raspi_code_backup/DriveTesting.py | lord-pradhan/SnowBot | 82a0b3439dc203bf27725e293d6e56bcad720c09 | [
"MIT"
] | 1 | 2019-12-13T19:21:12.000Z | 2019-12-13T19:21:12.000Z | """
Program: DriveTesting.py
Revised On: 12/01/2019
"""
### Library Imports
from DriveArduino import DriveArduino
import numpy as np
from time import sleep
from sys import exit
from signal import signal, SIGINT
###
### CTRL + C Signal Handler & Resource Cleanup
def signal_handler(sig, frame):
"""Handler for... | 16.92 | 46 | 0.652482 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 312 | 0.368794 |
583ba4ab4b346b94532e02cbbc5e159874800f72 | 363 | py | Python | src/sentry/utils/strings.py | rogerhu/sentry | ee2b190e92003abe0f538b2df5b686e425df1200 | [
"BSD-3-Clause"
] | 1 | 2015-12-13T18:27:54.000Z | 2015-12-13T18:27:54.000Z | src/sentry/utils/strings.py | simmetria/sentry | 9731f26adb44847d1c883cca108afc0755cf21cc | [
"BSD-3-Clause"
] | null | null | null | src/sentry/utils/strings.py | simmetria/sentry | 9731f26adb44847d1c883cca108afc0755cf21cc | [
"BSD-3-Clause"
] | null | null | null | def truncatechars(value, arg):
"""
Truncates a string after a certain number of chars.
Argument: Number of chars to truncate after.
"""
try:
length = int(arg)
except ValueError: # Invalid literal for int().
return value # Fail silently.
if len(value) > length:
retu... | 25.928571 | 55 | 0.606061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.4573 |
583d59db015ae71e12d80d6cb5e3e2aba7e8e79c | 817 | py | Python | setup.py | Ozencb/cli-pto | 445e5133340adb25dcf5d14c4203643b7a8741c2 | [
"MIT"
] | 6 | 2020-04-30T18:32:38.000Z | 2020-07-28T15:37:04.000Z | setup.py | Ozencb/cli-pto | 445e5133340adb25dcf5d14c4203643b7a8741c2 | [
"MIT"
] | 1 | 2020-04-30T18:34:08.000Z | 2020-05-01T10:16:49.000Z | setup.py | Ozencb/cli-pto | 445e5133340adb25dcf5d14c4203643b7a8741c2 | [
"MIT"
] | null | null | null | import os
import re
from setuptools import find_packages, setup
def get_version(package):
path = os.path.join(os.path.dirname(__file__), package, "__init__.py")
with open(path, "rb") as f:
init_py = f.read().decode("utf-8")
return re.search("__version__ = ['\"]([^'\"]+)['\"]", init_py).group(1)
... | 31.423077 | 85 | 0.641371 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 318 | 0.388278 |
583f4f6dd761e12a8aa4ad8d387f0bdd2b82f1de | 9,545 | py | Python | users/models.py | scoremaza/church_alive_backend | 2ee7260aea51ec39972588dc4a346aa152356aa3 | [
"MIT"
] | null | null | null | users/models.py | scoremaza/church_alive_backend | 2ee7260aea51ec39972588dc4a346aa152356aa3 | [
"MIT"
] | null | null | null | users/models.py | scoremaza/church_alive_backend | 2ee7260aea51ec39972588dc4a346aa152356aa3 | [
"MIT"
] | null | null | null | import os
import uuid
from django.db import models
from django.contrib.auth.models import User
from django.db.models.base import Model
from django.db.models.enums import Choices, ChoicesMeta
from django.db.models.fields.related import ForeignKey
from django.utils.deconstruct import deconstructible
@deconstructible
cl... | 32.355932 | 103 | 0.683394 | 9,095 | 0.952855 | 0 | 0 | 502 | 0.052593 | 0 | 0 | 3,676 | 0.385123 |
5840120e03a13bb96c98c4c82966a3349be1a938 | 1,012 | py | Python | format_errors.py | drupchen/correct-ewts | 0a23db216b2fb78a8c73476ca55cebf23a7d2706 | [
"Apache-2.0"
] | null | null | null | format_errors.py | drupchen/correct-ewts | 0a23db216b2fb78a8c73476ca55cebf23a7d2706 | [
"Apache-2.0"
] | null | null | null | format_errors.py | drupchen/correct-ewts | 0a23db216b2fb78a8c73476ca55cebf23a7d2706 | [
"Apache-2.0"
] | null | null | null | import re
from collections import defaultdict
with open('input/errors-ewts.csv') as f:
raw = f.read()
#raw = raw.replace('`not expected', '` not expected')
lines = raw.split('\n')
data = []
for line in lines:
columns = re.split(r'(?:^"|","|",,"|"$)', line)
msgs = [a for a in columns[3].split(',') i... | 27.351351 | 60 | 0.614625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 214 | 0.211462 |
5840ef989a734ba50cfa0c0f408fab21378c995e | 344 | py | Python | exercise-django/user/views.py | theseana/goodfellas | 9ad9d9759d193cd64ec71876b1dab155bb9ba2c7 | [
"MIT"
] | null | null | null | exercise-django/user/views.py | theseana/goodfellas | 9ad9d9759d193cd64ec71876b1dab155bb9ba2c7 | [
"MIT"
] | null | null | null | exercise-django/user/views.py | theseana/goodfellas | 9ad9d9759d193cd64ec71876b1dab155bb9ba2c7 | [
"MIT"
] | null | null | null | from django.shortcuts import render
# Create your views here.
from user.forms import UserForm
def register(request):
form = UserForm()
if request.method == 'POST':
form = UserForm(request.POST)
if form.is_valid():
form.save()
return render(request, 'user/registeration/register... | 24.571429 | 78 | 0.659884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.206395 |
5841ecc637b36ee324105b2737f2b6315d8d0459 | 3,609 | py | Python | shark/example/env/catch_ball_env.py | 7starsea/shark | 5030f576da6f5998728d80170480e68a3debfe79 | [
"MIT"
] | null | null | null | shark/example/env/catch_ball_env.py | 7starsea/shark | 5030f576da6f5998728d80170480e68a3debfe79 | [
"MIT"
] | null | null | null | shark/example/env/catch_ball_env.py | 7starsea/shark | 5030f576da6f5998728d80170480e68a3debfe79 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import PIL
import torch
import torchvision.transforms as TF
from types import SimpleNamespace
from gym import spaces, Env
from .SharkExampleEnv import CatchBallSimulate
# internal_screen_h, internal_screen_w = 80, 140
class CatchBallEnvBase(Env):
metadata = {'render.m... | 31.112069 | 107 | 0.600443 | 3,339 | 0.925187 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.059019 |
5842b3ae714ec5029aefbd5f4f522395e8920892 | 4,652 | py | Python | examples/launch_tor_with_simplehttpd.py | kneufeld/txtorcon | fbe2fc70cae00aa6228a2920ef048b282872dbab | [
"MIT"
] | null | null | null | examples/launch_tor_with_simplehttpd.py | kneufeld/txtorcon | fbe2fc70cae00aa6228a2920ef048b282872dbab | [
"MIT"
] | null | null | null | examples/launch_tor_with_simplehttpd.py | kneufeld/txtorcon | fbe2fc70cae00aa6228a2920ef048b282872dbab | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''Create a new tor node and add a simple http server to it, serving a given
directory over http. The server is single-threaded and very limited.
There are two arguments that can be passed via the commandline:
-p\tThe internet-facing port the hidden service should list... | 33.710145 | 96 | 0.635211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,986 | 0.426913 |
5842cd8ea1a4359a03a5653c005a52f4e2eeeb68 | 5,123 | py | Python | homeroom/wsgi.py | openshift-labs/workshop-homeroom | a0f0c144eef679e35a93201d11973329be9924fb | [
"Apache-2.0"
] | 14 | 2019-09-28T20:42:29.000Z | 2021-11-23T13:12:42.000Z | homeroom/wsgi.py | openshift-homeroom/workshop-homeroom | a0f0c144eef679e35a93201d11973329be9924fb | [
"Apache-2.0"
] | 1 | 2019-10-15T02:55:57.000Z | 2019-10-15T02:55:57.000Z | homeroom/wsgi.py | openshift-homeroom/workshop-homeroom | a0f0c144eef679e35a93201d11973329be9924fb | [
"Apache-2.0"
] | 3 | 2020-02-11T16:55:59.000Z | 2021-08-13T13:16:27.000Z | import os
import json
import threading
import time
import yaml
from flask import Flask
from flask import render_template
from kubernetes.client.rest import ApiException
from kubernetes.client.configuration import Configuration
from kubernetes.config.incluster_config import load_incluster_config
from kubernetes.clien... | 31.819876 | 87 | 0.622877 | 0 | 0 | 153 | 0.029865 | 412 | 0.080422 | 0 | 0 | 986 | 0.192465 |
584381c8993e76aeeaae4fc35eb8cf9d4869915b | 3,417 | py | Python | rever/__init__.py | limecrayon/rever | 0446ad9707fb1e81b3101625959fd16bdaac1853 | [
"MIT"
] | 2 | 2018-02-16T08:31:48.000Z | 2018-11-19T02:31:07.000Z | rever/__init__.py | limecrayon/rever | 0446ad9707fb1e81b3101625959fd16bdaac1853 | [
"MIT"
] | null | null | null | rever/__init__.py | limecrayon/rever | 0446ad9707fb1e81b3101625959fd16bdaac1853 | [
"MIT"
] | null | null | null | import functools
import time
__all__ = ('ReachedMaxRetries', 'rever')
class ReachedMaxRetries(Exception):
def __init__(self, func):
Exception.__init__(self, "Function {} raised exception due to max number of retries performed".format(func))
self.func = func
def rever(**rever_kwargs):
"""
... | 30.238938 | 116 | 0.550776 | 207 | 0.060579 | 0 | 0 | 1,595 | 0.466784 | 0 | 0 | 859 | 0.25139 |
5844f2ad1f289327e37c42bac510107e36f8f9d5 | 25,811 | py | Python | gui(12102018).py | hanhydro/T2H | f4922ce721eb450c7d91370f180e6c860e9ec6be | [
"MIT"
] | null | null | null | gui(12102018).py | hanhydro/T2H | f4922ce721eb450c7d91370f180e6c860e9ec6be | [
"MIT"
] | null | null | null | gui(12102018).py | hanhydro/T2H | f4922ce721eb450c7d91370f180e6c860e9ec6be | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'gui.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
import os
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets imp... | 47.975836 | 109 | 0.618728 | 24,704 | 0.957111 | 0 | 0 | 0 | 0 | 0 | 0 | 3,175 | 0.12301 |
584603df6f6456851f5001f52a65f8c0ba217511 | 226 | py | Python | py/loadpage.py | katiehuang1221/onl_ds5_project_2 | dc9243d6bdc0c1952a761b2ed3e91a8548202b42 | [
"MIT"
] | null | null | null | py/loadpage.py | katiehuang1221/onl_ds5_project_2 | dc9243d6bdc0c1952a761b2ed3e91a8548202b42 | [
"MIT"
] | 1 | 2021-01-20T02:34:07.000Z | 2021-01-20T02:34:07.000Z | py/loadpage.py | katiehuang1221/onl_ds5_project_2 | dc9243d6bdc0c1952a761b2ed3e91a8548202b42 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
import requests
from IPython.core.display import display, HTML
def get_soup(url):
response = requests.get(url)
page = response.text
soup = BeautifulSoup(page, "lxml")
return soup
| 22.6 | 46 | 0.734513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.026549 |
58483a9eb35db037bda84433b79608b84ed9f2c4 | 1,912 | py | Python | hard-gists/5409581/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/5409581/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/5409581/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | '''
rename_selected_relation_box.py
Written by Alex Forsythe (awforsythe.com)
When executed, attempts to locate any selected box within any relation
constraint in the scene. If a selected relation box is found, prompts the user
to enter a new name for that box. Allows relation boxes to be given more
descriptive names.... | 30.83871 | 103 | 0.670502 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,048 | 0.548117 |
584861b23601a5bd9f5d5e6bce09eb691a44f1c2 | 4,010 | py | Python | osu_scene_switcher.py | FunOrange/osu-scene-switcher | 471fc654fe4a222abaf4fbcf062e8302dd52bb18 | [
"MIT"
] | 4 | 2021-05-22T20:56:36.000Z | 2022-03-02T00:19:45.000Z | osu_scene_switcher.py | FunOrange/obs-osu-noise-suppression-switcher | 471fc654fe4a222abaf4fbcf062e8302dd52bb18 | [
"MIT"
] | null | null | null | osu_scene_switcher.py | FunOrange/obs-osu-noise-suppression-switcher | 471fc654fe4a222abaf4fbcf062e8302dd52bb18 | [
"MIT"
] | 1 | 2021-01-29T18:28:04.000Z | 2021-01-29T18:28:04.000Z | import os
import time
import obspython as obs
initial_load = False
status_file = ''
idle_scene = ''
playing_scene = ''
def undb(db):
return pow(10, db/20)
def script_description():
return 'Automatically switch scenes upon entering osu! gameplay.\n\n' \
'See github page for setup instructions.\n\n... | 33.416667 | 122 | 0.721696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,123 | 0.28005 |
5849254d7b154fa7533602568ea01800f7eb9d68 | 3,386 | py | Python | donkey_gym/envs/donkey_env.py | mint26/donkey_gym | 4d0302da5818d56f92247b9dbf389994961f487e | [
"MIT"
] | 5 | 2018-11-01T18:48:03.000Z | 2021-03-11T14:36:22.000Z | donkey_gym/envs/donkey_env.py | mint26/donkey_gym | 4d0302da5818d56f92247b9dbf389994961f487e | [
"MIT"
] | null | null | null | donkey_gym/envs/donkey_env.py | mint26/donkey_gym | 4d0302da5818d56f92247b9dbf389994961f487e | [
"MIT"
] | 7 | 2018-10-13T19:48:14.000Z | 2021-10-31T15:10:52.000Z | '''
file: donkey_env.py
author: Tawn Kramer
date: 2018-08-31
'''
import os
from threading import Thread
import numpy as np
import gym
from gym import error, spaces, utils
from gym.utils import seeding
from donkey_gym.envs.donkey_sim import DonkeyUnitySimContoller
from donkey_gym.envs.donkey_proc import Do... | 27.528455 | 99 | 0.60189 | 2,975 | 0.878618 | 0 | 0 | 0 | 0 | 0 | 0 | 723 | 0.213526 |
5849a619f304aa85187564eba6cb5913a8f7354f | 2,403 | py | Python | tests/unit/backend/corpora/common/entities/datasets/test_revision.py | chanzuckerberg/dcp-prototype | 24d2323ba5ae1482395da35ea11c42708e3a52ce | [
"MIT"
] | 2 | 2020-02-07T18:12:12.000Z | 2020-02-11T14:59:03.000Z | tests/unit/backend/corpora/common/entities/datasets/test_revision.py | HumanCellAtlas/dcp-prototype | 44ca66a266004124f39d7d3e3dd75e9076012ff0 | [
"MIT"
] | 173 | 2020-01-29T17:48:02.000Z | 2020-03-20T02:52:58.000Z | tests/unit/backend/corpora/common/entities/datasets/test_revision.py | HumanCellAtlas/dcp-prototype | 44ca66a266004124f39d7d3e3dd75e9076012ff0 | [
"MIT"
] | 1 | 2020-03-20T17:06:54.000Z | 2020-03-20T17:06:54.000Z | from tests.unit.backend.corpora.common.entities.datasets import TestDataset
class TestDatasetRevision(TestDataset):
def test__create_dataset_revision(self):
dataset = self.generate_dataset_with_s3_resources(self.session, published=True)
rev_dataset = dataset.create_revision("test_collection_id_rev... | 52.23913 | 117 | 0.665418 | 2,324 | 0.967124 | 0 | 0 | 0 | 0 | 0 | 0 | 492 | 0.204744 |
584a11d14b64edf45f4d6711e52adb48c3e934c3 | 3,966 | py | Python | main.py | parzibyte/login-flask | 165e10980f6a34c7587a53578ed361506eb37475 | [
"MIT"
] | 2 | 2021-09-21T16:37:41.000Z | 2021-12-09T17:38:18.000Z | main.py | parzibyte/login-flask | 165e10980f6a34c7587a53578ed361506eb37475 | [
"MIT"
] | null | null | null | main.py | parzibyte/login-flask | 165e10980f6a34c7587a53578ed361506eb37475 | [
"MIT"
] | 1 | 2021-08-16T01:36:58.000Z | 2021-08-16T01:36:58.000Z | """
____ _____ _ _ _
| _ \ | __ \ (_) | | |
| |_) |_ _ | |__) |_ _ _ __ _____| |__ _ _| |_ ___
| _ <| | | | | ___/ _` | '__|_ / | '_ \| | | | __/ _ \
| |_) | |_| | | | | (_| | | / /| | |_) | |_| | || __/
|____/ \__, | |_| ... | 36.054545 | 137 | 0.594049 | 0 | 0 | 0 | 0 | 1,470 | 0.368144 | 0 | 0 | 3,086 | 0.772852 |
584b5746e6a8959beb85942376ecc9e56d8276af | 707 | py | Python | events/kawacon2016/migrations/0003_auto_20160127_1924.py | jlaunonen/turska | fc6ec4e0ae50a823e931152ce8835098b96f5966 | [
"CC-BY-3.0"
] | null | null | null | events/kawacon2016/migrations/0003_auto_20160127_1924.py | jlaunonen/turska | fc6ec4e0ae50a823e931152ce8835098b96f5966 | [
"CC-BY-3.0"
] | null | null | null | events/kawacon2016/migrations/0003_auto_20160127_1924.py | jlaunonen/turska | fc6ec4e0ae50a823e931152ce8835098b96f5966 | [
"CC-BY-3.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.1 on 2016-01-27 17:24
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('kawacon2016', '0002_auto_20160127_1922'),
]
operations = [
migrations.AlterF... | 33.666667 | 291 | 0.700141 | 550 | 0.777935 | 0 | 0 | 0 | 0 | 0 | 0 | 342 | 0.483734 |