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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
89e8ab9227a0a50a720b819e974157d583e35762 | b5012bfee90c3974176c76bd55c89652be441d9c | /hackers.py | 59014634ed3ccebbec4acbb81d8f7ea453eaad14 | [] | no_license | Tuoppi1/School-work | 5affeb751d46df6a584236f62f6e6fb24eb22f9a | d5ce3be273c644013ae0341a7776792f86e1ffed | refs/heads/master | 2020-08-12T23:53:30.492774 | 2019-12-15T02:18:07 | 2019-12-15T02:18:07 | 214,868,954 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,097 | py | import re
import time
import requests
import matplotlib.pyplot as plt
# This program uses a russian proxy IP address
# Because i got banned from www.iplocate.io
# Current proxy worked for me at least
# Use your default IP address by removing proxies parameter from requests.get(url,proxies).json() (line 30)
file = o... | [
"noreply@github.com"
] | Tuoppi1.noreply@github.com |
0a9807695a6b48465c8bcda0fe72456b4e3a34b2 | 284d0cfb0d62bcbd1b5ec42cdafef0ff0c776231 | /Imaging_Jellies/src/camera_test/camera_noise_test.py | 0d7d13e7237949eebc310b9cdc222eec31e9cf3b | [] | no_license | nicolewxu/BE107_ProjectGroup3_Jellyfish | d7e082f2279fa44e024d69be48cb9f2c046db0df | 631b59fdd02d18acbbdd9d90161fbed829def94f | refs/heads/master | 2020-12-24T13:20:59.944454 | 2015-05-26T06:50:47 | 2015-05-26T06:50:47 | 35,862,589 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,912 | py | import cv2
import os
import numpy as np
import cPickle
def main():
#move_pics()
#make_avg_background()
#find_contours_with_background()
find_contours_with_adaptive_thresholding()
find_contours_with_otsu_thresholding()
#find_contours_vanilla()
def move_pics():
pics = dict()
for folder in ['fly_with_food_still... | [
"nicolewxu@dhcp-7-245.caltech.edu"
] | nicolewxu@dhcp-7-245.caltech.edu |
db2053ff6088956d37ca5a3a875a95d76e48daa4 | e08f10a7469868f44a3cc5278033d4fd19b36598 | /collection-old.py | f9b812733fa7253152c1f837adeda1807b1fea90 | [
"MIT"
] | permissive | neal-rogers/baseball-card-inventory | 4498cadd444755afcf8b3d7c1ee2825264de40ce | 9940ba746072892961b7ade586e63f7deb26d2e6 | refs/heads/master | 2020-12-25T23:18:48.513129 | 2017-02-19T00:45:32 | 2017-02-19T00:45:32 | 34,287,900 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,874 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""This is a simple baseball card inventory system."""
import graphx, csv, json, os
def check_file(self):
"""Args:
None.
Returns:
something() = stuff.
Examples:
>>>
"""
if os.path.isfile('data\cards.json'):
prin... | [
"neal.rogers@spsmail.cuny.edu"
] | neal.rogers@spsmail.cuny.edu |
97fe4b22a0d5bd7822f3f5e943e4fad93fc6b66d | 9de9e636cf845c681fdbf1c6c058cc69d5d05da5 | /IO/Writer.py | 5ed136de1753e4ebcc60d562cf59aef0e316b217 | [] | no_license | dxcv/Portfolio-Management-1 | 4278eebb5c91a3a02ea76398b681ef9dc5beeb1f | 9f188aeab3177d0a13bae32e3a318a4f18642a3c | refs/heads/master | 2020-12-05T21:48:37.690004 | 2019-01-03T01:34:41 | 2019-01-03T01:34:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,408 | py | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 15 12:51:44 2018
Write to excel function
@author: ACM05
"""
import pandas as pd
import IO.IO_Tools_Func as IO_TF
class Writer():
def __init__( self,
f_name ):
""" Writer object for
defined format
"""
... | [
"noreply@github.com"
] | dxcv.noreply@github.com |
bf96a09a63a04c6313e4811b636283950b097e22 | ef0aed73e99562d86250e13eb9d0bcf2cf6b2229 | /main.py | 1d89ca3a79e87bdc03d5f61afbed1c0ec61977d5 | [] | no_license | HuesodeDurazno/MagicPoemModel | 38869dfed4ea82515eddf9207693b68facfcbd5d | 30b3058c342c8051cf1084cf4c208b0b0c5f3576 | refs/heads/main | 2023-09-01T10:43:34.852352 | 2021-10-26T22:42:38 | 2021-10-26T22:42:38 | 421,604,862 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 172 | py | import os
import numpy as np
import re
import spacy
import urllib.request
def poem_generator(file, word, n_sents=4):
nlp = spacy.load("es")
init_str = nlp(word)
| [
"ivanwhite230@gmail.com"
] | ivanwhite230@gmail.com |
16e6aad20191bccd6294c9578cb217ce79720b51 | a6beb7c6901d49493fe8c2bd7e001464af799a19 | /jd_goods/jd_goods/spiders/get_goods | 67742aab9a5aecacc3c624e207892303cc41b2c3 | [] | no_license | RokieProgramer/Scrapy_demo | 72b5b4f1ffa3abcf5cf7f5f138f1b1d4eda81fb3 | 3f5ebb70f975aa86494339f5ad43a9a3ff11bc35 | refs/heads/master | 2020-05-30T09:40:26.703200 | 2019-05-31T23:49:33 | 2019-05-31T23:49:33 | 189,652,087 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,572 | # -*- coding: utf-8 -*-
import scrapy
from jd_goods.items import JdGoodsItem
from urllib.parse import urlencode
import re
import json
class GetGoodsSpider(scrapy.Spider):
name = 'get_goods'
# allowed_domains = ['jd.com']
# https://search.jd.com/Search?keyword=huwwei_p30pro
def start_requests(self):
... | [
"noreply@github.com"
] | RokieProgramer.noreply@github.com | |
a596bb3c9d9652d2ae7143f07e2a8838190af2e0 | 08b9e2128236a37df530d6afa5d127b7d2a28b95 | /test/test.py | 85bff6c475551aa6698d5c9525f433377c736b53 | [] | no_license | glebLit/Chat | c1889679ae3989efdc313a4fede5cadba94a91c0 | 271866dd1841235ba5e856cd14cb32627a6e91ac | refs/heads/master | 2021-08-23T22:06:12.105637 | 2017-12-06T19:42:59 | 2017-12-06T19:42:59 | 109,710,943 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,149 | py | #!/usr/bin/env python
import unittest
import urllib2
import time
from flask import Flask
from flask_socketio import SocketIO, emit
from socketIO_client import SocketIO, LoggingNamespace
from socketio import packet
import socket
app = Flask(__name__)
class FlaskTests(unittest.TestCase):
global result
result = ... | [
"gleb19960@yandex.ru"
] | gleb19960@yandex.ru |
d0fd9ae97dd8894464641a2387bc5db31a6ea3a3 | 04bd3387ed96a9856c14f76e3022171305203a72 | /GetPopuler.py | 348fc46c31c5691ec2af8fdeaedfdaec2f02e79d | [] | no_license | Yashwant94308/ATG-Selenium | bb3fff41b642951db3b5ab605d524ddcee4794f1 | 39424bee93e49f752105dd35311c2569e1a2de43 | refs/heads/master | 2023-05-26T04:36:58.998935 | 2021-05-29T08:34:26 | 2021-05-29T08:34:26 | 371,921,460 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 249 | py | import requests, json
response = requests.get(
'https://www.flickr.com/services/rest/?method=flickr.photos.getPopular&api_key=22a1377a56b4c384b61b723a80a73492'
'&user_id=193065083%40N04&format=json&nojsoncallback=1')
print(response.json())
| [
"yashwant94308@gmail.com"
] | yashwant94308@gmail.com |
6c5fcdc365a2d9524863e685c0e18db9824f2d75 | 4856abe62782bbd1c1f56758ad949aea785b65af | /game_functions.py | 3c52d29a2ad1738466abe44261960c24e91cad60 | [] | no_license | theVidVid/Alien_Invasion | fc8196d67b3658403297ca3b39133b4c5c73f511 | 6b47032e540be96d16af0f1f9b60a9f6f3f60543 | refs/heads/master | 2020-04-18T20:29:55.248742 | 2019-03-13T21:11:00 | 2019-03-13T21:11:00 | 167,739,600 | 4 | 1 | null | 2019-03-06T19:49:48 | 2019-01-26T21:14:10 | Python | UTF-8 | Python | false | false | 11,928 | py | import sys
from time import sleep
import pygame
from bullet import Bullet
from alien import Alien
# The sys module is used to exit the game when the quits.
# The pygame module contains the functionality needed to make a game.
def check_events(ai_settings, screen, stats, sb, play_button, ship, aliens,
bu... | [
"ianjvidaurre@gmail.com"
] | ianjvidaurre@gmail.com |
174769dec8a2daec7c96b080ca6fe9f8c1de0b45 | 22af8fd63f53ead6cf92fd1628025d95859f0942 | /emplay/wsgi.py | bc70109ee95562f413bf5ce87b1880b3b69f8b6e | [] | no_license | alok162/EMPLAY-PRO | dd2e076ce381182719f599c23f5bc402c4629d93 | 345fae1c41067c674de542450b011967b9f2328c | refs/heads/master | 2020-03-19T17:04:47.598527 | 2018-06-13T05:11:02 | 2018-06-13T05:11:02 | 136,743,323 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 389 | py | """
WSGI config for emplay project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTIN... | [
"alok@Aloks-MacBook-Pro.local"
] | alok@Aloks-MacBook-Pro.local |
ca06edde0b5cfd9aac6613d1fe1529f2a76675e1 | ad23346ae1a2c47446c7ef3363ac28192a7598ad | /rover_ws/build/catkin_tools_prebuild/catkin_generated/pkg.installspace.context.pc.py | a9c0976f9c91a358d3ddc0f7899fed4f0abe8126 | [] | no_license | michaeldibono/mini-rover-backup | 5c24e307e9a546bbdf7371b2a684f6cc006af4ab | 1d9fb172c75289eb69fc22d2bc28030d1a138e5e | refs/heads/master | 2021-01-18T18:36:43.353374 | 2017-08-16T18:15:20 | 2017-08-16T18:15:20 | 100,519,468 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "catkin_tools_prebuild"
PROJECT_SPACE_... | [
"yetan@fiu.edu"
] | yetan@fiu.edu |
c088978c79af6296316fa521727b2ebf9bb34d07 | 291c7ed825161973a2d8742f2f180f04ce6e2689 | /website/__init__.py | a55432fa42f2f76214b396a4257247662bb44e9c | [] | no_license | opoweiluo/E-commerce-for-small-business | ec1f870d7cadaffdcfe449e5b51e09a05c3a8f5b | 2ab617e1814259aac689579025c6af4775e4181b | refs/heads/main | 2022-12-27T00:33:14.023612 | 2020-10-13T01:42:51 | 2020-10-13T01:42:51 | 302,741,684 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 629 | py | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_bootstrap import Bootstrap
from flask_login import LoginManager
from flask_bcrypt import Bcrypt
import pymysql
pymysql.install_as_MySQLdb()
app = Flask(__name__)
app.secret_key = 'david'
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:ro... | [
"noreply@github.com"
] | opoweiluo.noreply@github.com |
b6f35c1a1ea83e61d21732c084d936b0869d821b | 401f694fd838a88b7782ab3fb80fe687a0268082 | /InterpreterDebugger/demo_script.py | 9a30fc19b36c28932359006b406607b0405fef40 | [
"MIT",
"Python-2.0"
] | permissive | rockobonaparte/cloaca | 8871f46ebcd1d018be2a61b5775daa65444ee0eb | f2b28cb77faaeca736bb0cf286361dd96f362789 | refs/heads/master | 2022-10-22T08:46:36.872543 | 2022-10-08T19:21:06 | 2022-10-08T19:21:06 | 175,341,337 | 4 | 4 | null | 2020-05-15T11:57:02 | 2019-03-13T03:42:17 | C# | UTF-8 | Python | false | false | 65 | py | import heapq
heapq.heapify([0, 9, 1, 8, 7, 3])
print("Done!")
| [
"adam.preble@gmail.com"
] | adam.preble@gmail.com |
5ddbda28127ab2fb18249701f06df9c1649219a4 | 8fe781f8ac5b1c1d5214ac5a87c5ad855f791a6d | /src/clean_data.py | 90720e0134fea7776aa816fbd08598bb52e51b1b | [] | no_license | ternaus/kaggle_ultrasound | fabf45b89f5ab0888bb22e9b5205d90b14ce8f06 | 2d688d0cea8e2b1651980e972b1d6400b797c70b | refs/heads/master | 2021-01-11T15:48:19.835115 | 2016-08-20T01:47:37 | 2016-08-20T01:47:37 | 64,818,757 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,349 | py | from __future__ import division
"""
This script makes train data less noisy in a way:
Finds similar images assigns to these clusters of images max mask
"""
import networkx as nx
import os
import pandas as pd
from tqdm import tqdm
from PIL import Image
import glob
import pandas as pd
import cv2
import os
import numpy... | [
"iglovikov@gmail.com"
] | iglovikov@gmail.com |
204a504cca4f179ed50d214b89f4d43b0f58d0eb | 9a8878b48bafaac3877a2354e070b85dd7ec00f0 | /EDPC/B_frog2.py | 77d8b927688d8ba2a9cdf4b512d7e3a9e2ea5864 | [] | no_license | ikikohei/atcoder | 5505506a20f15cb32821d43b592e3fc9ee44dafe | 9fe585e8554cd19a9d04aa4d9c2e7531e6586fcb | refs/heads/master | 2023-05-31T22:01:01.734021 | 2021-06-26T14:13:02 | 2021-06-26T14:13:02 | 311,360,312 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 679 | py | def DPmethodForFrog2(N,h,K):
max_val = 10000000000
dp = [max_val]*(10**5 + 1)
dp[0] = 0
for i in range(N-1):
# if i+1 <= K:
# for j in range(i+1):
# if dp[i+1] > dp[j]+abs(h[i+1] - h[j]):
# dp[i+1] = dp[j] + abs(h[i+1]-h[j])
# else:
... | [
"i.k0712r@gmail.com"
] | i.k0712r@gmail.com |
633f383970cec190025bf934ec1d356e6c1d9a65 | 3823bfba09bbb1bc0f525a241283df3cb6b97615 | /scrapyprj/replay/ZipUtility.py | 742983d59edfb0b637490abcd6254bdb2f2d1a06 | [] | no_license | alexmason528/torforum_crawler | ed3a585dd7b454ad71b021f3014f40a48b38c1e9 | 70964905d79818501c9fc32d3e6417dcc6eaa828 | refs/heads/master | 2020-03-19T01:04:25.914342 | 2018-05-29T18:24:36 | 2018-05-29T18:24:36 | 135,520,458 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,584 | py | import os
import sys
import stat
from os.path import abspath
import fnmatch
import collections
import errno
try:
import zlib
del zlib
_ZLIB_SUPPORTED = True
except ImportError:
_ZLIB_SUPPORTED = False
try:
import bz2
del bz2
_BZ2_SUPPORTED = True
except ImportError:
_BZ2_SUPPORTED = Fa... | [
"steven@gilligan.io"
] | steven@gilligan.io |
d47dec240304cb46afa238c6d1e46db1d150dbf4 | 8d9e9f5e3246ea3c682b81c6a8c9578dd4e0666b | /max_soft_function.py | 272135a948561debcd22f51eb1c589849c64aa25 | [] | no_license | defunSM/python-machine-learning | f9df9e32b8c28b58410203a2300f31935f6477b5 | 21eb73491e0526b6b654df00a70fe66869837b23 | refs/heads/master | 2021-01-12T08:58:07.509854 | 2017-06-01T11:22:15 | 2017-06-01T11:22:15 | 76,738,388 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 320 | py | #!/usr/bin/env python
import sys, os
import numpy as np
def maxsoftfunc(x):
return np.exp(x) / np.sum(np.exp(x))
def main():
array = [0.1, 1.1, 2.1]
ans = maxsoftfunc(array)
print(ans)
total = 0
for i in ans:
total += i
print(total)
if __name__=="__main__":
main()
| [
"sxh8083@g.rit.edu"
] | sxh8083@g.rit.edu |
bcf521a2c46390f05edb564682e5fe27c896efd1 | 7a1085aa658114bacc3889c1c7d92d1d6e411159 | /thread_cls.py | 06dbbfe502d83a277367c7634480f01650c20699 | [] | no_license | huahuijay/class3 | cc66956ba13006e832a722aff560225df9c5b3f2 | 0551f4a64f5748d396d44f0915e5f9fea110f966 | refs/heads/master | 2021-01-11T02:00:20.122088 | 2016-10-13T15:03:01 | 2016-10-13T15:03:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 622 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import Queue
import threading
import time
ip_queue = Queue.Queue()
class Ping(object):
def __call__(self):
while 1:
if not ip_queue.qsize():
break
ip = ip_queue.get()
time.sleep(1)
print ip
if __n... | [
"peng.luo@idiaoyan.com"
] | peng.luo@idiaoyan.com |
3a5877287dae4f76c16aa6d37576640de2e97602 | 127cdebd60c1c439f559c1f711d071c0d920d131 | /leilei/cainiao.py | d88ffe7d7fa247568fd80458973cfb4e750a4fe7 | [] | no_license | fei2yi/mytoos | b13660af90b2a4029bbb9fd292961d8007e856c8 | 9901e33a0a19f1ac0bf19f7b7c7b2eb0e58b96b0 | refs/heads/master | 2020-04-08T18:27:59.262780 | 2019-05-16T03:45:02 | 2019-05-16T03:45:02 | 159,609,149 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,127 | py | import xlrd
from win32com import client as wc
from docx import Document
kinship,amend = {},{}
name,num,mynum,col_index,margin,mf_list,ROW = [],[],[],[],[],[],[]
# def doSaveAas():
# word = wc.Dispatch('Word.Application')
# doc = word.Documents.Open(u'aaaa.doc') # 目标路径下的文件
# doc.SaveAs(u'E:\\bin\\tuokoulv\\aaaa.docx', ... | [
"415923506@qq.com"
] | 415923506@qq.com |
ac8bb2b49f625d413a32f8fef679bc03ce802ab6 | ade22d64b99e7306eaeaf06684cc9c4f2d539881 | /oscquintette/tests/v1/test_plugin.py | 36de987851507a942e89237853e783acf38e25f1 | [
"Apache-2.0"
] | permissive | dtroyer/osc-quintette | 59204e4ad2e25be237fb3ec13cbb5087518197d6 | e37585936b1db9e87ab52e11e714afaf167a0039 | refs/heads/master | 2020-04-04T22:57:54.745055 | 2015-01-15T06:42:16 | 2015-01-15T06:42:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,266 | py | # 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
# distrib... | [
"dtroyer@gmail.com"
] | dtroyer@gmail.com |
13cd0c8c3642448ab20d30e377b9836c2e2b3b0f | 7a4ed01a40e8d79126b26f5e8fca43c8e61e78fd | /Python Built-in Modules/Python Itertools Module/1.Infinite Iterators/1.3.repeat()/1.Example_Of_repeat.py | b1c087d52f7e27726d3536cbc8a9c1f00b84432f | [] | no_license | satyam-seth-learnings/python_learning | 5a7f75bb613dcd7fedc31a1567a434039b9417f8 | 7e76c03e94f5c314dcf1bfae6f26b4a8a6e658da | refs/heads/main | 2023-08-25T14:08:11.423875 | 2021-10-09T13:00:49 | 2021-10-09T13:00:49 | 333,840,032 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 102 | py | from itertools import repeat
print ("Printing the numbers repeatedly : ")
print (list(repeat(25, 4))) | [
"satyam1998.1998@gmail.com"
] | satyam1998.1998@gmail.com |
dd84a0764d1cd38b85cddd32caf67859a5427497 | 4ac77337083c7fdb28a901831003cfd0e0ef7bf1 | /any_urlfield/models/fields.py | 2d6a67b84cb2f887d661bd1a22600a432304957f | [
"Apache-2.0"
] | permissive | borgstrom/django-any-urlfield | deb6a10b87c26f53bb3ca5085d486238ab6c2a6c | 3f97bfd628a5770268b715ee8f796aaab89cf841 | refs/heads/master | 2020-12-11T02:13:14.725873 | 2013-12-12T21:55:12 | 2013-12-12T21:55:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,655 | py | """
Custom model fields to link to CMS content.
"""
from django.core.exceptions import ValidationError
from django.core.validators import URLValidator
from django.db import models
from any_urlfield.models.values import AnyUrlValue
from any_urlfield.registry import UrlTypeRegistry
class AnyUrlField(models.CharField):
... | [
"vdboor@edoburu.nl"
] | vdboor@edoburu.nl |
7b1ce87dae5357070654d64c13e0421c247e54da | 51f886e82c1b670d2202e9e2dee9ae7e776f55ad | /HITB-XCTF 2018/WEB/Python's revenge/run.py | ff9357baaba52f64c3568293733c5bb94d5dd212 | [] | no_license | kankanhua/CTFS | e2249699c0c8096b3362fd7b79add6fa897fffa9 | 2ea1cedbd124e9136e28ad77d5173524a90ee0b3 | refs/heads/master | 2020-04-03T01:19:05.281002 | 2018-07-09T13:20:57 | 2018-07-09T13:20:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 80 | py | #!flask/bin/python
from app import *
if __name__ == "__main__":
app.run() | [
"523279238@qq.com"
] | 523279238@qq.com |
b5ffffc779bb9a663018d7d61a89415f02b6c32a | 3f9163cc45befbc20b19a19bf1fd875b483c2965 | /python/paddle/distributed/passes/auto_parallel_gradient_merge.py | bc40dad8ac0d9a69f37ef6d6704bd644b87522cc | [
"Apache-2.0"
] | permissive | forschumi/Paddle | 27926b1ddb76be08dc3f768df787fc9a4078f8e4 | 58d2949d6d2a1689e17527fb501d69c3501adf9f | refs/heads/develop | 2022-07-04T03:07:52.446858 | 2022-06-05T11:44:04 | 2022-06-05T11:44:04 | 83,878,029 | 0 | 0 | null | 2017-03-04T08:11:50 | 2017-03-04T08:11:49 | null | UTF-8 | Python | false | false | 14,250 | py | # Copyright (c) 2021 PaddlePaddle Authors. 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 appli... | [
"noreply@github.com"
] | forschumi.noreply@github.com |
6a71b1c6d6048d65ec434b7db6b8ca6701671ae5 | 8d1237874cceee240d605edc0caa4ac5255d040e | /HW4/example-ptt(version dict).py | b51264fe5da721ebace4a993db6d7de471b097f7 | [] | no_license | fatwinnie/Sam_Test | 545f9c7f4782d7e279a2aafd3278e58b8272ee23 | 3ba99bd3d21baeb74b94c703edcad1d480b99661 | refs/heads/master | 2022-12-27T16:06:47.323058 | 2020-10-16T09:51:44 | 2020-10-16T09:51:44 | 287,498,760 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,342 | py | import requests
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
url = "https://www.ptt.cc/bbs/joke/index.html"
response = requests.get(url)
html_doc = response.text # text 屬性就是 html檔案
soup = BeautifulSoup(response.text, "html.parser")
post_author = [] #建立一個空的 list 放作者 id
recommend = [] # 放推文數
p... | [
"noreply@github.com"
] | fatwinnie.noreply@github.com |
40a3d067d1e3b7a8dc8e422b14866b6111bd77a8 | 3e9ac661325657664f3f7fa26ff2edf5310a8341 | /python/demo100/15.py | 82e514ce0d7a6957012d7aafb52d784906df006e | [] | no_license | JollenWang/study | 47d1c22a6e15cb82d0ecfc6f43e32e3c61fbad36 | 660a47fd60dd1415f71da362232d710b322b932f | refs/heads/master | 2020-06-15T23:53:37.625988 | 2017-04-21T11:18:20 | 2017-04-21T11:18:20 | 75,257,807 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 490 | py | #!/usr/bin/python
#-*- coding:utf-8 -*-
#author : Jollen Wang
#date : 2016/05/10
#version: 1.0
'''
题目：利用条件运算符的嵌套来完成此题：学习成绩>=90分的同学用A表示，60-89分之间的用B表示，60分以下的用C表示。
'''
def main():
score = int(raw_input("$>Enter the score:"))
print "grade=",
if score >= 90:
print "A"
elif score >= 60:
pri... | [
"jollen_wang@163.com"
] | jollen_wang@163.com |
458365ada1fd265704f15bcdea4a1b43e2126cfb | 57c0b710086538c41a119d1866a71705c43ea2d9 | /Face and Feature Detection/detectfacescircle.py | 7ca145d58a9f47d937dfedf8341858d2ad7b91d5 | [] | no_license | AlokRanjanBhoi/pencv-For-Python | 3bf171790f5c0bb50553eba6b0cd3a0252bdcd67 | 087150f6c1c486e3b136e8d71e140241d83c67cf | refs/heads/master | 2020-04-08T02:00:31.737585 | 2018-12-27T16:41:10 | 2018-12-27T16:41:10 | 158,918,641 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 512 | py | import numpy as np
import cv2
img = cv2.imread("faces.jpg",1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
path = "haarcascade_eye.xml"
eye_cascade = cv2.CascadeClassifier(path)
eyes = eye_cascade.detectMultiScale(gray, scaleFactor=1.02,minNeighbors=20,minSize=(10,10))
print(len(eyes))
for (x,y,w,h) in ey... | [
"noreply@github.com"
] | AlokRanjanBhoi.noreply@github.com |
2129c72f2a51f1fe14350be0ad03e9f24634a8fb | ccb7633dae1393b546a189e0fd513665fae3e49f | /lambda/lambda_function.py | 56e022fca38257a6b11f88d467cc74fffe8ec3e3 | [] | no_license | rahulsinha036/Weather-API-Alexa-Skill | 65003976b119aaa0f154a9df52fcd0fa816f39eb | d07bf560f62a3c351e5d78111a310ff2b68ce46b | refs/heads/master | 2022-12-25T05:34:51.151714 | 2020-09-27T10:35:09 | 2020-09-27T10:35:09 | 299,008,011 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,801 | py | # -*- coding: utf-8 -*-
# This sample demonstrates handling intents from an Alexa skill using the Alexa Skills Kit SDK for Python.
# Please visit https://alexa.design/cookbook for additional examples on implementing slots, dialog management,
# session persistence, api calls, and more.
# This sample is built using the ... | [
"noreply@github.com"
] | rahulsinha036.noreply@github.com |
f502a1ab4fbd3fb3c402deb9bcb0a91171c04ca9 | 3ea75e35408de10bba250f52120b5424bd50fdd9 | /py/plotSigzFunc.py | 21812552da7cc7dfcdf7898e0e091f012d051cf2 | [] | no_license | jobovy/segue-maps | 9848fe59ee24a11a751df4f8855c40f2480aef23 | ed20b1058a98618700a20da5aa9b5ebd2ea7719b | refs/heads/main | 2022-11-30T15:27:08.079999 | 2016-12-20T04:28:26 | 2016-12-20T04:28:26 | 40,663,061 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,199 | py | import os, os.path
import math
import numpy
import cPickle as pickle
from matplotlib import pyplot
from optparse import OptionParser
from scipy import optimize, special
from galpy.util import bovy_coords, bovy_plot
def plotSigzFunc(parser):
(options,args)= parser.parse_args()
if len(args) == 0:
parser.p... | [
"jo.bovy@gmail.com"
] | jo.bovy@gmail.com |
28bf8e32b2fc71691571cc473c7d4d6c7cefcf3a | fe98f7502a5724be0ec7ec3ae73ff4703d299d6e | /Neural Tree/data.py | 1b85e274b45f66319d308125e39f23e90bf4375f | [] | no_license | SoumitraAgarwal/BTP | 92ab095aacf3dd374148f40b9e777bb49c4253f1 | 07df960ad7e8680680a9d3494c8a860b394867d1 | refs/heads/master | 2020-03-16T12:39:13.548988 | 2018-05-09T06:09:11 | 2018-05-09T06:09:11 | 132,671,601 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,513 | py | import random
import math
import pandas as pd
import numpy as np
from sklearn import preprocessing
import matplotlib.pyplot as plt
from matplotlib import cm
from mpl_toolkits.mplot3d import axes3d, Axes3D
plt.switch_backend('agg')
random.seed(311)
def generate(radius, centre):
alpha = 2 * math.pi * random.random()... | [
"agarwalsoumitra1504@gmail.com"
] | agarwalsoumitra1504@gmail.com |
ef3d990361a736c2c8243ef71653066e995e9f04 | a1c7b21d96d6326790831b2b3115fcd2563655a4 | /pylidc/__init__.py | 95c187456f43a5b9aafdc6d2673def316432c058 | [
"MIT"
] | permissive | jovsa/pylidc | 3837b17fbe02bc60817081a349681612f24b2f81 | bd378a60a4b0e6dfb569afb25c3dfcbbcd169550 | refs/heads/master | 2021-06-13T02:45:41.359793 | 2017-03-10T23:14:57 | 2017-03-10T23:14:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,068 | py | """
--------------------------------------------------------
Author: Matt Hancock, not.matt.hancock@gmail.com
--------------------------------------------------------
This python module implements an (ORM) object relational mapping
to an sqlite database containing the annotation information from
the XML files provid... | [
"mhancock743@gmail.com"
] | mhancock743@gmail.com |
64a5d750a89fb054c3e4071ed1214595cb22f90c | 5acc62ab7c37bc2aa5b2e7eedc8c0960b37bda7b | /setup.py | ef25940cc4b5a049843c0c1d65b07ed48d136ecb | [
"MIT"
] | permissive | DanWertheimer/pyJDBCConnector | 6476a3039ec0ba7a957e28744a869a0cfe859c41 | 41d7121fefb51692f1cec9bfc464de448bfc159f | refs/heads/master | 2022-08-29T00:30:42.744437 | 2020-05-20T10:19:34 | 2020-05-20T10:19:34 | 264,123,305 | 2 | 0 | MIT | 2020-05-19T14:14:32 | 2020-05-15T07:12:19 | Python | UTF-8 | Python | false | false | 1,675 | py | import setuptools
from pyjdbcconnector import __version__
# read the contents of your README file
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setuptools.setup(
name='pyjdbcconne... | [
"Daniel.Wertheimer@absa.africa"
] | Daniel.Wertheimer@absa.africa |
debd832aa46efe641d1cd44a23481c762f2593d0 | eb874c1b263a1db2f7beb04b08d51a5b0f6ad8e8 | /dcl_main.py | d8d844d6508f216dc70b4286a3389fafcbe761c9 | [] | no_license | freekang/DCL-1 | 2c89d5b07767864819709118f06f1e34465c5c5d | 63f30e282716a22a922c29e4f3b5e5f81696dbb0 | refs/heads/main | 2023-04-03T14:29:45.764790 | 2021-04-11T02:53:20 | 2021-04-11T02:53:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,652 | py | import os
import sys
import torch
import yaml
# from torchvision import datasets
from models.mlp_head import MLPHead
from models.bert_base_network import BertNet
from trainer import BertBYOLTrainer
from dataclasses import dataclass, field
from typing import Optional
import logging
# os.environ['CUDA_DEVICE_ORDER'] = 'P... | [
"852975133@qq.com"
] | 852975133@qq.com |
8c4a5643db05aa582d6890691f9259ba39448975 | 455ce0c304e4a9f080862cb8459066ac741f3d38 | /day06/funcAsVar.py | abdfe02a2e1454e4e58302d9b697a4725542a345 | [] | no_license | venkatram64/python3_work | 23a835b0f8f690ca167e74bbbe94f46e3bd8c99f | 754f42f6fa2be4446264a8e2532abd55213af4df | refs/heads/master | 2021-06-15T22:41:31.031925 | 2021-02-16T04:56:50 | 2021-02-16T04:56:50 | 153,217,220 | 1 | 3 | null | null | null | null | UTF-8 | Python | false | false | 125 | py | def square(num):
return num * num
s = square # function is assigned to a variable, and later can be excuted
print(s(5)) | [
"venkat.veerareddy@hotmail.com"
] | venkat.veerareddy@hotmail.com |
e9c684dd4c93afc3e080a8243908e154b3b2ebeb | ff4fc5ffab9143e5440ae78415b1128429530a5f | /knowledge_files/函数列表.py | ee836d26dae015ce05eb4a8b6fc3c47366260076 | [] | no_license | LyuuuuXinwei/knowledge | 4ee2a4cdc5007430ca6ef09a1368604b89deead0 | 218f1c903bc8113b70fd4997e5f5349a86263153 | refs/heads/master | 2021-01-20T01:50:04.702084 | 2018-02-08T16:18:48 | 2018-02-08T16:18:48 | 101,301,112 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,136 | py |
match_ # 正则检查需要被变复数的单词
apply_ # 以正则方式替换
import re
def match_sxz(noun):
return re.search('[sxz]$', noun)
def apply_sxz(noun):
return re.sub('$', 'es', noun)
'''rules函数列表'''
rules = ((match_sxz, apply_sxz),
(match_h, apply_h),
(match_y, apply_y),
(match_default, apply_default)
)
def plural(nou... | [
"416626614@qq.com"
] | 416626614@qq.com |
d476c12d19016fedb10bf55bbe245feb207b93ac | 971e0efcc68b8f7cfb1040c38008426f7bcf9d2e | /tests/model_control/detailed/transf_Quantization/model_control_one_enabled_Quantization_Lag1Trend_NoCycle_NoAR.py | ff7ef11eee723d83fe871324617d9665f298f2bc | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | antoinecarme/pyaf | a105d172c2e7544f8d580d75f28b751351dd83b6 | b12db77cb3fa9292e774b2b33db8ce732647c35e | refs/heads/master | 2023-09-01T09:30:59.967219 | 2023-07-28T20:15:53 | 2023-07-28T20:15:53 | 70,790,978 | 457 | 77 | BSD-3-Clause | 2023-03-08T21:45:40 | 2016-10-13T09:30:30 | Python | UTF-8 | Python | false | false | 154 | py | import tests.model_control.test_ozone_custom_models_enabled as testmod
testmod.build_model( ['Quantization'] , ['Lag1Trend'] , ['NoCycle'] , ['NoAR'] ); | [
"antoine.carme@laposte.net"
] | antoine.carme@laposte.net |
6e1df05610ec9c28d74938442be383a7185cc1d9 | d1820a2b617f0ebb1c60f5f258bd8a844bd660d3 | /schedule/models/route.py | b6edf5c88fd2f300488236fc29d6f820544d1c52 | [] | no_license | sfrieson/subway | 0db4a8b9ef60bcb9c62803c0c9a28e6dbb8e6fc1 | 7f4252d12b7d5a935188dba359579849da008397 | refs/heads/master | 2020-03-26T04:36:27.977293 | 2018-09-09T11:35:17 | 2018-09-09T11:35:17 | 144,512,476 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | from lib import db
def get(route_id):
return db.get_one("SELECT * FROM routes where route_id = '%s';" % route_id)
def get_paths(route_id):
return db.get_many("""
SELECT
shape_id, points.point_id, shape_pt_sequence, point_lon, point_lat
FROM
shapes
JOIN points... | [
"sfrieson@gmail.com"
] | sfrieson@gmail.com |
015abfc9ea79a4582643af75018f4ff2b5c66e16 | 97b87984b70021730df04bac0b5cf1d076bf4592 | /quartile.py | cbbe94b69dd22d55559ef291addce60772d64294 | [] | no_license | ayush-ruel/Statistics | 0bcede4691e861ec45e4b4d2f3d9274e071b6b78 | 1f2ba99d685c8a0a224d41b9cb46dc6b255f5a8f | refs/heads/master | 2020-04-23T18:02:54.940588 | 2019-02-26T21:59:03 | 2019-02-26T21:59:03 | 171,353,355 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 282 | py | from statistics import median
n=int(input())
arr=[int(x) for x in input().split()]
arr.sort()
t=int(len(arr)/2)
if len(arr)%2==0:
L=arr[:t]
U=arr[t:]
else:
L=arr[:t]
U=arr[t+1:]
print(int(median(L)))
print(int(median(arr)))
print(int(median(U)))
| [
"noreply@github.com"
] | ayush-ruel.noreply@github.com |
aa187842f546ec38434033435a6d0116e9184da1 | d8127d11c7294796a4d85a8ed0dba43cb6fce715 | /basic_knowledge/10_2_3.py | fd0e314d26afb2b1df2080fef79e4910693c7a57 | [] | no_license | TophTab/Learning_python_firsttime | 77e6a33069fa6718c878bcf6b7925fa3f703d16e | 4e30d6d2c120a911c8e6cc1f0918128bf7fb372b | refs/heads/main | 2023-01-06T22:23:39.482131 | 2020-11-07T13:34:55 | 2020-11-07T13:34:55 | 310,820,651 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 217 | py | with open('programming.txt','a') as file_object:
file_object.write("I also love finding\n")
file_object.write('I love creating\n')
with open('programming.txt','r') as file_object:
print(file_object.read()) | [
"TophTab@github.com"
] | TophTab@github.com |
95a196583e24ca85981351ed0bf9c3a4ece3c9bb | f6644453d0a228cec214d09551468105134c5da3 | /mobilenetv2.py | 84c1b802d29d0097fc7043eceb38466e66aa5a92 | [] | no_license | ibadami/MobileNet_v2 | 97a49692edce291631b8d123ae2031c8179ff395 | b10065448bf65e007032e0e04a170045c4a0b8b2 | refs/heads/master | 2020-04-17T22:02:34.702865 | 2019-01-22T10:53:33 | 2019-01-22T10:53:33 | 166,977,607 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,710 | py | """MobileNet v2 model for TFLearn.
# Reference
[MobileNetV2: Inverted Residuals and Linear Bottlenecks]
(https://arxiv.org/abs/1801.04381)
_author__ = "Ishrat Badami, badami@nevisq.com"
"""
from tflearn.layers.conv import conv_2d, grouped_conv_2d, global_avg_pool
from tflearn.layers.core import dropout, reshape,... | [
"noreply@github.com"
] | ibadami.noreply@github.com |
45b764bb9a978270fd4f4004643081df442084c4 | 8531e93ea9a499804da4606499dfb258efc4ed3c | /speechToText.py | 5d0edc8dad0fe274ac651a8c210f34be183b1a8c | [] | no_license | marblefactory/Speech-to-Text | a09ce4fe9276af89200ee1dcc1a85f6ef68a07b5 | 8888561bbbe27a41594ab27da64f6281d9dc0fc0 | refs/heads/master | 2021-07-20T23:57:10.949806 | 2017-10-30T12:47:22 | 2017-10-30T12:47:22 | 108,848,476 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 839 | py | import speech_recognition as sr
r = sr.Recognizer()
m = sr.Microphone()
try:
print("Geting ambinent noise")
with m as source: r.adjust_for_ambient_noise(source)
print("Energy threshold established")
while True:
print("Say something:")
with m as source: audio = r.listen(source)
... | [
"c.leathart@hotmail.co.uk"
] | c.leathart@hotmail.co.uk |
9207c0d477fcdff3fdfc7421a7da2c788d2c36af | 38b5f3ad3ff93342c817b74e7b315f06dd077119 | /exec27.py | 14ae0f84658618befe9a7b0257f2663c1df63854 | [] | no_license | xXxDevBR/Python-Exercicios | abff6e2fcc48b27db11d68ba375916413ca90edc | aaa2c1608f258023adb1d56370a9d8c596ef458e | refs/heads/master | 2020-04-16T10:50:38.294074 | 2019-01-13T15:17:28 | 2019-01-13T15:17:28 | 165,518,809 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 165 | py | nome = str(input('Digite seu nome: ')).strip().split()
print('Seu primeiro nome é {}'.format(nome[0]))
print('Seu último nome é {}'.format(nome[len(nome)-1]))
| [
"xXxDevBR@clashoverdrive245@protonmail.com"
] | xXxDevBR@clashoverdrive245@protonmail.com |
8bf5be3241894ee6b7a5f6ec3ba7cdc9946a56f7 | 57e1c170b3721e2c4f9529415b0c015d0de91ff1 | /utils.py | 675248601b525ba2ea93060751236375ab0ed512 | [] | no_license | sobadrush/DockerDev-ReadCsv2Excel | 3b849222f7cd0a64fed423df1ff179cdfc5f9794 | 4e1d1c088f6da9a34473987f8c671965b3829d7e | refs/heads/main | 2023-09-05T10:00:37.796979 | 2021-11-22T07:50:41 | 2021-11-22T07:50:41 | 417,730,672 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 886 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
def plus(a, b):
return a + b
def handleMemo(_list):
if len(_list) == 1 or _list[0] == '':
return
# for idx, val in enumerate(tempLine):
# if idx >= 4:
# tempLine[idx] = val.replace(" ", "，")
# return tempLine
# ref. ht... | [
"sobadrush@icloud.com"
] | sobadrush@icloud.com |
a25ee7b2a7ac37922e741c367dfb32c3a7c44e00 | dbe4e7b18e611907201f2d46a1d3df5834cae14f | /splunk_add_on_ucc_framework/start_alert_build.py | d05cfedf7930e2f14bad9b2898621ee42d26788d | [
"Apache-2.0"
] | permissive | JasonConger/addonfactory-ucc-generator | d6198e0d0e8b1113034403d3e2df67c9e00f4652 | 17548eee55ee270d8954e9b3df3ebc9da2d90300 | refs/heads/main | 2023-04-04T20:44:55.629207 | 2021-04-12T07:12:52 | 2021-04-14T18:57:49 | 358,644,617 | 1 | 0 | null | 2021-04-16T15:35:03 | 2021-04-16T15:35:02 | null | UTF-8 | Python | false | false | 2,621 | py | # SPDX-FileCopyrightText: 2020 2020
#
# SPDX-License-Identifier: Apache-2.0
from __future__ import absolute_import
from . import normalize
import logging
import os
from .modular_alert_builder.build_core import generate_alerts
import traceback
class LoggerAdapter(logging.LoggerAdapter):
def __init__(self, prefix,... | [
"rfaircloth@splunk.com"
] | rfaircloth@splunk.com |
21ac7b8bd278492a0c7324f8fe0d272953855df9 | 67dbbe74262b95ddce44287967d7dd7af393a60b | /web_deploy/__init__.py | bfa0f3ffe8e23bb2df5f913dedc9ed52dfdb19f2 | [
"Apache-2.0"
] | permissive | ygavenchuk/web-deploy | 444b93e70ffa8ba848992f7cfd2a68cae0f5fb01 | 2a1cc0931a931a68114c535af3b508fc01f00684 | refs/heads/master | 2021-01-01T19:21:17.094038 | 2015-07-06T12:59:11 | 2015-07-06T12:59:11 | 38,040,524 | 0 | 2 | null | 2015-07-01T10:07:38 | 2015-06-25T09:31:04 | Python | UTF-8 | Python | false | false | 830 | py | # -*- coding: utf-8 -*-
#
# Copyright 2015 Yuriy Gavenchuk aka murminathor
#
# 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 requir... | [
"y.gavenchuk@bvblogic.com"
] | y.gavenchuk@bvblogic.com |
5be51dbb88aa58f10058062d78de161544e789e6 | cc2fcc1a0c5ea9789f98ec97614d7b25b03ba101 | /st2common/tests/unit/test_configs_registrar.py | e23dfe74262ed4c55b95ba299c1a0f50fbeb08c9 | [
"Apache-2.0"
] | permissive | Junsheng-Wu/st2 | 6451808da7de84798641882ca202c3d1688f8ba8 | c3cdf657f7008095f3c68b4132b9fe76d2f52d81 | refs/heads/master | 2022-04-30T21:32:44.039258 | 2020-03-03T07:03:57 | 2020-03-03T07:03:57 | 244,301,363 | 0 | 0 | Apache-2.0 | 2022-03-29T22:04:26 | 2020-03-02T06:53:58 | Python | UTF-8 | Python | false | false | 4,577 | py | # Licensed to the StackStorm, Inc ('StackStorm') 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 "License"); you may not use th... | [
"wei.ying@easystack.cn"
] | wei.ying@easystack.cn |
3df1a403fdfd729c21e8a16868b681af9bfc772f | 7f8ac39fa2d83a6a12cbb7ac26996dc465f57bcb | /Analysis/susyAnalysis.py | 3f1324ab35c40586a4a7a5d10f4c283c9fbe1a80 | [] | no_license | ingridavh/SUSY | 7450ce7c2bec21e78158c2448eb7d016fddbb875 | 8a9b3a6eae1720b5674a06d01ffda91b87234554 | refs/heads/master | 2021-01-20T09:36:55.930940 | 2017-06-01T17:42:43 | 2017-06-01T17:42:43 | 90,267,226 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,706 | py | import AnalysisHelpers as AH
import ROOT
import Analysis
import math
#======================================================================
class susyAnalysis(Analysis.Analysis):
"""Semileptonic susyAnalysis loosely based on the ATLAS analyses of top pair events where
one W boson decays to leptons and o... | [
"ingridavh@hotmail.com"
] | ingridavh@hotmail.com |
2da6036ab876d2232b76b7ef2f9869daa5258513 | 1d3c4449b6884578dbd9b8d0cdcf183c844c2801 | /1106.py | 13f7dcb81326f394a13899b3001195962f6aa552 | [] | no_license | thanos73k/CoTe | fa5e84048c6405daa712445391b14e9160fb7507 | e96754b970ed33269c50fef00973aa066d9739a6 | refs/heads/main | 2023-07-13T10:42:51.845553 | 2021-08-23T14:31:08 | 2021-08-23T14:31:08 | 383,343,960 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 305 | py | goal, city= map(int, input().split())
info=[]
INF=987654321
dp=[0] + [INF]* 2000
for _ in range(city):
tmp =list( map(int,input().split()))
info.append(tmp)
for cost, people in info:
for i in range(people, goal + people):
dp[i]= min(dp[i],dp[i-people]+cost)
print(min(dp[goal:]))
| [
"59728699+thanos73k@users.noreply.github.com"
] | 59728699+thanos73k@users.noreply.github.com |
196964f8812712d14c761353096cc995312f630d | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/containsDuplicate_20200907093833.py | a13711fe822495f778880bcdac9e84cd2d398e7d | [] | no_license | MaryanneNjeri/pythonModules | 56f54bf098ae58ea069bf33f11ae94fa8eedcabc | f4e56b1e4dda2349267af634a46f6b9df6686020 | refs/heads/master | 2022-12-16T02:59:19.896129 | 2020-09-11T12:05:22 | 2020-09-11T12:05:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 133 | py | def duplicate(nums,k,t):
number = None
for i in range(len(nums)):
for j in range(i+1,len(nums)):
if nu
| [
"mary.jereh@gmail.com"
] | mary.jereh@gmail.com |
8f580dc6cac81d892c88c452ae7a6db718851418 | ded0a8f68a945d40aaeabdd298a08117cbe79e3c | /Projets/fonction.py | ea482df223a7f40553a74440ee21358e51c510cf | [] | no_license | Stephanie-Njike/Python | cd3931af29851f3bc89ccf468123dcb8c01b496b | f22f3a5ddb19bd27404a532781802ef7d33af8bc | refs/heads/main | 2023-07-05T15:39:41.744830 | 2021-08-09T15:28:25 | 2021-08-09T15:28:25 | 394,320,479 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,242 | py |
"""
def list_in_param(*params):
return params[0]+params[1]+params[2]
value = list_in_param(1, 2, 3, 4, 5, 8)
print(value)
value2 = list_in_param('1', '2', '3', '4')
print(value2)
def list_in_param2(a, *params):
return params[0]+params[1]+params[2]+a
value = list_in_param2(1, 2, 3, 4, 5, 8)
print(value)
... | [
"pair_one@smart-coders.guru"
] | pair_one@smart-coders.guru |
dcb6d1f9b8f18e4873a300301df53135071597f8 | 853f628139c5accdb14a2bcbcb2ea11df5e2ea82 | /3-5.py | 3e90e66f83d69f658ce7c67025617164fef60c0b | [
"MIT"
] | permissive | MasazI/python-r-stan-bayesian-model | cdcc49348a55bbd615925da8de5f260a6235620b | 05a224958a3f5cbea207001465ac12b6862d9d9f | refs/heads/master | 2022-02-28T13:21:32.779730 | 2019-11-03T13:36:04 | 2019-11-03T13:36:04 | 218,285,214 | 5 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,098 | py | ###############
#
# Transform R to Python Copyright (c) 2016 Masahiro Imai Released under the MIT license
#
###############
import os
import numpy as np
import pystan
import pandas
import pickle
import seaborn as sns
import matplotlib.pyplot as plt
import arviz as az
file_beer_sales_2 = pandas.read_csv('3-2-1-beer-... | [
"masaz.dream@gmail.com"
] | masaz.dream@gmail.com |
286901b3a6a7ec15eaad0c29b53851f0e00a3e81 | 599db5e2e3c4d6c296de25a8ef8e95a862df032b | /OpenAI Gym/(clear)breakout-ramdeterministic-v4/model6/14000epi/modelPlay.py | 7e5537269ecb2dd11378115b992616635625fad7 | [] | no_license | wantyouring/ML-practice-code | bb7577e99f22587c7ca016c1c4d067175e5ce9d9 | a3efbb4d252bacc831c5d7a01daf6476e7a755e4 | refs/heads/master | 2020-05-14T17:45:17.735081 | 2019-06-30T14:43:25 | 2019-06-30T14:43:25 | 181,898,074 | 0 | 1 | null | 2019-06-15T05:52:44 | 2019-04-17T13:31:24 | Python | UTF-8 | Python | false | false | 3,233 | py | # 학습모델 play. random action과 학습model 비교.
import gym
import pylab
import numpy as np
import gym.wrappers as wrappers
from doubleDQN2 import DoubleDQNAgent
EPISODES = 1 # 처음은 random으로 수행, 나중에는 학습model로 수행
global_step = 0
def change_action(action):
if action == 0:
return 0
elif action == 1:
retu... | [
"pwc99@naver.com"
] | pwc99@naver.com |
4a18ef0719c0058c463c0200d66e76acbe62ccfd | e49b654d3db99773390c5b9686df9c99fbf92b2a | /linked_lists/is_palindrome.py | 703a4960dc6cfbe7e741efde1dd056a7ede1b2cc | [] | no_license | hao89/diary_of_programming_puzzles | 467e8264d0ad38768ba5ac3cfb45301293d79943 | 0e05d3716f28075f99bbd7b433d16a383209e57c | refs/heads/master | 2021-01-16T00:49:38.956102 | 2015-08-25T13:44:53 | 2015-08-25T13:44:53 | 41,692,587 | 1 | 0 | null | 2015-08-31T18:20:38 | 2015-08-31T18:20:36 | Python | UTF-8 | Python | false | false | 831 | py | """
Implement a function to check if a linked list is a palindrome
"""
import random
from linked_list import LinkedListNode
def is_palindrome1(linked_list):
# reverse and compare
pass
def build_palindrome_list():
root = LinkedListNode(5)
previous_node = root
for i in range(0, 2):
new_node ... | [
"me@davidadamojr.com"
] | me@davidadamojr.com |
8f7329745bd74286e1d3df0ea9914dfa18347a3b | 0e0e755dcee24259fff3223a8f3579e6f1717e52 | /Final Project/final project.py | 2d98f59c616276085d2f0eb8e5a7fe6aaa72f1ff | [] | no_license | anwittin/Python | 0e25eb4cf7822d338e9fd64da1d7daa058d249c0 | 1a9eeba502dc74b0279fab8466f6d088a6fc425f | refs/heads/master | 2016-08-12T04:27:13.080084 | 2016-01-01T22:40:11 | 2016-01-01T23:16:36 | 43,617,445 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,384 | py | from sys import exit
import time
def kitchen():
print "This is the kitchen, there is food to cook and a small door at the back too."
print "You're hungry. what do you do?"
print "cook | enter door"
choice = raw_input("> ").lower()
if choice == 'cook':
print "Nice, hopefully you know what you're doing!\n"
... | [
"anwittin@gmail.com"
] | anwittin@gmail.com |
9620bd4a537d18089f1bbe6c5d247c907e171b40 | 486ea742752f63c65015fb982798a7fef43c8bae | /bot/account_manager/browser_automation_utils/webdrivermanager.py | 848cc683628670552bb1be960c9d49720e99406d | [] | no_license | rrosajp/BingRewardsBot | 6f17ec00a624cc8406bef5f4c0fbf32ec340521f | 56d4012dfda61ee7303a6942f87635bdb4e4c820 | refs/heads/master | 2021-06-01T10:16:33.546077 | 2016-08-14T08:29:50 | 2016-08-14T08:29:50 | 286,825,267 | 1 | 0 | null | 2020-08-11T18:59:02 | 2020-08-11T18:59:01 | null | UTF-8 | Python | false | false | 2,327 | py | import os
import browsertypes
_ABS_PATH_TO_THIS_DIR = os.path.realpath(os.path.dirname(__file__))
def _make_path_absolute(path):
'''
@param path
A relative or absolute path to a webdriver executable __file__
@return
- If path is absolute or None, then return as is.
... | [
"sairambkrishnan@gmail.com"
] | sairambkrishnan@gmail.com |
00ccd496ce7dea6f368a321332faf326dce7f540 | a38eb3c692ea213b9db90148edb2052468ff7bc3 | /datasets/__init__.py | da8a68bfb78cbd159bf9a7a64efa3cf0917df160 | [] | no_license | VictorTao1998/ActiveStereoRui | cc5cc5d282d2935dab5c7ecb34e691a88682ec4e | cd5325932b52ff4090e6e40403a8710a99723a6d | refs/heads/main | 2023-08-24T03:59:05.904458 | 2021-10-28T17:42:31 | 2021-10-28T17:42:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py | """
Author: Isabella Liu 8/8/21
Feature:
"""
| [
"jit124@ucsd.edu"
] | jit124@ucsd.edu |
69709d69ea014f6f4dfe7ed425332532be7c41f0 | 617c294d421f8abbd7f85e627bf662430b7a28bc | /easy_web_py/core/mainHandler.py | d08aba816b8ec4082b3093df6830c42b896bf31a | [] | no_license | Gustavovaler/easy_web_py | a6a9df7b3f30e9c9226921fd6205b8918c6fb7af | 695e8713c06dbbabcab5bb584f53dbf0820dc95f | refs/heads/master | 2022-09-21T03:08:21.632406 | 2020-06-04T06:39:53 | 2020-06-04T06:39:53 | 256,370,531 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | from http.server import BaseHTTPRequestHandler
from ..resources.routes import routes_list
class MainHandler(BaseHTTPRequestHandler):
print(routes_list)
def parse_path(self):
for route in routes_list:
if self.path in route["path"]:
self.controller_request = route["controlle... | [
"gustavodevaler@gmail.com"
] | gustavodevaler@gmail.com |
4ce5322003186f1ce33d14ae98702957ae346789 | 0cbe53436e0e753c41b039a3050f77a8b7f2e0e1 | /data_pro/Queries_pkl.py | e2f6e2feee71993a08e39c38d504c278388b8a1d | [] | no_license | s1530129650/Code_Recommendation | 9848d95ec3edc7c61a48178b9e9e06348b2e2e66 | 1d77e1a35a1ab92a717e0435e521cf4ff520cec6 | refs/heads/master | 2020-05-14T23:51:11.111958 | 2019-05-28T12:08:56 | 2019-05-28T12:08:56 | 182,002,981 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,380 | py | #!/usr/bin/env python
#!-*-coding:utf-8 -*-
"""
@version: python3.7
@author: v-enshi
@license: Apache Licence
@contact: 123@qq.com
@site:
@software: PyCharm
@file: Queries_pkl.py
@time: 2019/4/25 9:46
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
im... | [
"noreply@github.com"
] | s1530129650.noreply@github.com |
15a49c1e93ac6f6575ef74ea8af48334dbb97f8f | f6f9ca202b70e93a324de89b8316f389bf838508 | /src/gui/archat.py | 9c95974953d8bd0a0d132a0a6ee09cafd8c5017e | [
"MIT"
] | permissive | 180D-FW-2020/Team8 | 4e6d46870041d5015f2d5094acd44f15270017fa | ba439a2e65d759d0abd8d4fa827601b16228d841 | refs/heads/master | 2023-03-13T20:00:05.024413 | 2021-03-11T17:43:04 | 2021-03-11T17:43:04 | 297,810,211 | 2 | 1 | MIT | 2021-03-11T17:41:58 | 2020-09-23T00:46:07 | Python | UTF-8 | Python | false | false | 7,302 | py | ## AR Chat #######################################################################################################
## a class for creating a message board in OpenCV
ROOT = "data/gui/"
import cv2 as cv
'''
An ARChat object outputs an array with a custom UI created by the Butcher Bros (spec. Michael)
Public Function... | [
"noreply@github.com"
] | 180D-FW-2020.noreply@github.com |
07f54965bf19a638d7de2870978fd0fccb3c3b59 | 635670997e25d7fd578701995fe0422dd5671528 | /src/models_VAE/best_models/vae/encoder.py | 48db109dad68d468093e78e6d9e4cbd35e10fc19 | [] | no_license | QuangNamVu/thesis | 5126c0281d93e7a5c2c3a5784363d7f6c6baadfd | 01a404de2dfb70f13f3e61a9a8f3b73c88d93502 | refs/heads/master | 2022-12-24T10:08:33.472729 | 2019-12-21T16:27:07 | 2019-12-21T16:27:07 | 174,741,015 | 0 | 3 | null | 2022-12-14T06:56:36 | 2019-03-09T20:09:03 | Jupyter Notebook | UTF-8 | Python | false | false | 1,892 | py | import tensorflow as tf
from tensorpack import *
from tf_utils.ar_layers import *
from tf_utils.common import *
def encoder(self, x):
is_training = get_current_tower_context().is_training
# [M, T, D] => [M, T, f0]
fc_l1 = gaussian_dense(name='encode_l1', inputs=x, out_C=self.hps.f[0])
activate_l1 = ... | [
"you@example.com"
] | you@example.com |
6e7000c867060f75c285361bd18e96b9365fac25 | 90ee22848a633676fe0da4a0a061e6d278d318fb | /Arrays/leet.py | 7ce365448183389917db26fee33a9050a4ba9fdd | [] | no_license | VinothRajasekar/practice | 459d33dbe9a0b4f55485baee1389beba3d1abc04 | c395f2fc9028c33e2d52c2c0c86f0c1077d29c8e | refs/heads/master | 2020-04-18T19:54:11.577376 | 2019-11-07T03:04:12 | 2019-11-07T03:04:12 | 167,724,045 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 144 | py | def hello():
print("hello world")
val = set()
val.add("1")
val.add("2")
val.remove("2")
print(val)
c = hello()
print(c)
| [
"vinu.barro@gmail.com"
] | vinu.barro@gmail.com |
dc2ea8bc1a8d47ea00f0731625419d553fe1c45e | 1081b4b2a575b4b786db71289f6e06497da4ae27 | /PSO/Microgrid optimization/In objective approach/Multiprocessing/MicrogridPSO_module_PSO.py | 3a081a2119588e545b5c45c775954a51d5982771 | [] | no_license | cycle13/Miniconda | 6e468f6d87b8424f662cf3aefdf250c1ec81f97b | 0d589134a9d65dccad05bb968406c98df26f29ab | refs/heads/master | 2022-01-06T21:51:16.291238 | 2019-07-09T02:11:04 | 2019-07-09T02:11:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,507 | py | import numpy as np
import copy
from MicrogridPSO_module_flowchart import loop_flowchart
# * Initialize particles & to input parameters
def initialize_PSO_parameters(PSO):
# * input initialize parametes
n_iterations = int(PSO.Multiprocessing_parameters["n_iterations"])
n_particles = int(PSO.Multiprocessin... | [
"insideman02468@gmail.com"
] | insideman02468@gmail.com |
1350a94623bca2d8ec71d8f2452ae5975888cf01 | ff3b1f10d179ffae5b63a4a86c46c0d50858c122 | /env/bin/django-admin.py | f8b5cecf0a7d827708532a25d8ff2790739def6f | [] | no_license | Petrovich80/urok2 | de9e50a5d670e0ed836d799b0f24129efcd69cfb | 0f55ed9c3fc9067372d843f8e451e409ec601c78 | refs/heads/master | 2023-05-10T01:41:32.383023 | 2021-06-08T08:40:47 | 2021-06-08T08:40:47 | 375,018,778 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 148 | py | #!/home/petrov0803/app2/env/bin/python3.8
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
"petrov0803@gmail.com"
] | petrov0803@gmail.com |
7ae19c87ae0a743f37e10842eb6d7fe795206b0d | 4afa76df7f5f42fa97fd90f8da01374654d0d891 | /train.py | 4365b894e7248fe4525d2627f482f451ef9b658d | [] | no_license | hantek/zmlp | 923b8ce11c93dca620fe4bae0be5a5d341a3f64f | 0fce920850f84631f6996e50df2a6089a958a172 | refs/heads/master | 2021-01-22T02:34:12.575698 | 2014-12-06T03:58:25 | 2014-12-06T03:58:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,025 | py | import numpy
import numpy.random
import theano
import theano.tensor as T
SharedCPU = theano.tensor.sharedvar.TensorSharedVariable
try:
SharedGPU = theano.sandbox.cuda.var.CudaNdarraySharedVariable
except:
SharedGPU=SharedCPU
class GraddescentMinibatch(object):
def __init__(self, varin, data, cost, params... | [
"lin.zhouhan@gmail.com"
] | lin.zhouhan@gmail.com |
17bb28c909cb81a12d6e09aa97eceda48b4c70d7 | 2ac2dc7550d4e08d56dff220c65d78799e221dc9 | /users/forms.py | a28532794be55c34c3d0c00b0f403baddb94d9a9 | [] | no_license | Vladimir-1909/blog_news | b152883962ac3521c3294bd1e590f4144dc18966 | d5a45e70bb44c7004824b83e1e3771c25760c975 | refs/heads/main | 2023-03-07T15:47:43.969174 | 2021-02-22T08:37:44 | 2021-02-22T08:37:44 | 341,130,810 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,474 | py | from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Profile, SendMail
class UserRegisterForm(UserCreationForm):
email = forms.EmailField(
label='Введите Почту',
required=True,
widget=forms.TextInput... | [
"vtgk12ak@gmail.com"
] | vtgk12ak@gmail.com |
534e606f6d54fae55bbd0424ff0939fd209fb081 | d75cb7e463247cb88196e90fe3e9c8ed4595775b | /SchoolJudgeSummary/delete_db.py | 2681952472a2f7e0519ae19eeb3537421caf0d27 | [] | no_license | xscrat/SchoolJudgeSrc | 7bcd993c5096df52de40117be8b52de893437e28 | bca646254417232f15fe991ce75f92288590ecc5 | refs/heads/master | 2023-03-09T05:27:53.020785 | 2021-03-03T02:54:05 | 2021-03-03T02:54:05 | 343,808,403 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 235 | py | # -- coding:utf-8 --
import requests
import globals
r = requests.post('http://%s:%s/delete_db/' % (globals.server_ip, globals.server_port))
if r.status_code == 200:
print('删库成功')
else:
print('删库失败')
| [
"xjfscrat@gmail.com"
] | xjfscrat@gmail.com |
7fd01682debf28b599f6a3f86aa54b2e11ffb67d | 7f392d3d784a95e0ba99118070bdfcf508d225c2 | /projectManager/sproject_manager/views.py | 2f5ea3c271647f97cfbee1aef53180bcdf4ff0c1 | [
"MIT"
] | permissive | ufajardo/task-tracker | 0656b86edbe98b5e5b3c8dfab43b14f785e43c97 | 5817c6d1b563a9a6d2c1112bcd0b73531a316a8c | refs/heads/master | 2021-08-07T07:26:26.395368 | 2019-05-30T20:44:31 | 2019-05-30T20:44:31 | 186,176,679 | 0 | 0 | null | 2020-06-05T21:03:17 | 2019-05-11T20:04:53 | Python | UTF-8 | Python | false | false | 3,036 | py | from django.shortcuts import render, get_object_or_404, redirect
from django.utils import timezone
from rest_framework import generics, viewsets
from .serializers import ProjectSerializer, TaskSerializer
from .models import Project, Task
from .forms import TaskForm, ProjForm
# Create your views here.
def index(request... | [
"ulysses.fajardo214@gmail.com"
] | ulysses.fajardo214@gmail.com |
c7e654ae56b455cb14bc56c0dedaa2ea56c31dd7 | f268c12874985a5028150d64cffdcb2470b32dd4 | /build.py | b8f53a09af44c659a9e1befc5a913ad4322ec625 | [] | no_license | sagarambalam/fsdse-python-assignment-31 | 49b39bb6fc01caece448dda89fba17a45770d535 | d75be72c5e06592c7c791b203bd2c02753886493 | refs/heads/master | 2021-01-21T23:04:24.852859 | 2017-06-23T05:13:43 | 2017-06-23T05:13:43 | 95,184,731 | 0 | 0 | null | 2017-06-23T05:02:25 | 2017-06-23T05:02:25 | null | UTF-8 | Python | false | false | 262 | py | def solution(dic1):
list_a = sorted(dic1.values())
list_1 = list_a[0]
list_2 = list_a[1]
final_list=[]
for i in range(len(list_a)):
for j in range(len(list_a)):
final_list.append(list_1[i]+list_2[j])
return final_list
| [
"sagar.ambalam@gmail.com"
] | sagar.ambalam@gmail.com |
b45cc10b7dd6a7c3e4acc055c6c47c9efec8d6f7 | 02e3fca30edaa8d8cc87c21895cb0cf1df112a35 | /prepare_training_dataset.py | d7b4a8c00870b3ae1a809173e5a7253e35f57a78 | [] | no_license | huster123/DataScience_Project | dc151c159d906f5a169c5bdfd7c9da304598aeac | 6289d49052be64efccaf618553b67b9613207db2 | refs/heads/master | 2020-05-01T13:35:36.916908 | 2018-08-13T16:41:37 | 2018-08-13T16:41:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,751 | py |
# coding: utf-8
"""
Created on Thu Jun 7 13:07:59 2018
@author: fahad
@purpose : The purpose of this code is to prepare the training dataset and calculate the RUL.
The program will read the required C-MAPSS dataset file and will return the dataset with calculate RUL as
a dataframe. Also, will save the dataframe ... | [
"noreply@github.com"
] | huster123.noreply@github.com |
9a985c189a5328bcc149258b1faf5e97c967615f | ab66cdd15bb1ad964e21ce236e3e524b1eebb58a | /build/toolchain/win/setup_toolchain.py | 66e840bb9bee4e29ff2d61f9afdf05d8d839e3f3 | [
"BSD-3-Clause"
] | permissive | tainyiPeter/build-gn | 729659f3af90318d8ca80caa0a2f72d9bbfc595e | 59376ea32237f28525173e25fe1ce4a5c19ad659 | refs/heads/master | 2020-04-19T09:52:23.499802 | 2018-12-18T10:43:26 | 2018-12-18T10:56:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,687 | py | # Copyright (c) 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# Copies the given "win tool" (which the toolchain uses to wrap compiler
# invocations) and the environment blocks for the 32-bit and 64-bit builds on
#... | [
"zcbenz@gmail.com"
] | zcbenz@gmail.com |
5fdba8f4725b9411b49d8f846a12dd1a5db0e84d | 37c5ba847d3e466a916d58f8707c0e04704f9144 | /ariac_behaviors/ariac_flexbe_behaviors/src/ariac_flexbe_behaviors/get_order_sm.py | 12309fd2f1b750050ce3f829501d711014c49cdb | [] | no_license | JustPtrck/roboticsP4 | 32bcf2076c11b51fecc19b8ea4dc21defe209f89 | 5904b11d6981fe2a19aed34cc235ef8f49fbcbc1 | refs/heads/master | 2022-09-01T06:37:09.519532 | 2020-05-19T10:50:04 | 2020-05-19T10:50:04 | 261,726,933 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,454 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###########################################################
# WARNING: Generated code! #
# ************************** #
# Manual changes may get lost if file is generated again. #
# Only code inside the [MANUAL] ta... | [
"patrickverwimp@gmail.com"
] | patrickverwimp@gmail.com |
a96bac8257857719d4e612c36e2dc88f720a5690 | ad212b92beac17c4d061848c1dcd443d02a168c8 | /monthly_challenge/202008/19_goat_latin.py | e866084a3ba4569f5efdb64fd6aa23d3416e864d | [] | no_license | 21eleven/leetcode-solutions | 5ec97e4391c8ebaa77f4404a1155f3ef464953b3 | 35c91e6f5f5ed348186b8641e6fc49c825322d32 | refs/heads/master | 2023-03-03T10:22:41.726612 | 2021-02-13T21:02:13 | 2021-02-13T21:02:13 | 260,374,085 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,420 | py | """
A sentence S is given, composed of words separated by spaces. Each word consists of lowercase and uppercase letters only.
We would like to convert the sentence to "Goat Latin" (a made-up language similar to Pig Latin.)
The rules of Goat Latin are as follows:
If a word begins with a vowel (a, e, i, o, or u), ... | [
"noahlidell@gmail.com"
] | noahlidell@gmail.com |
2caa36497292851a2824c6d22461f476df9e29db | 8d113f0a487dab55c733ff63da5bba9e20f69b69 | /config/settings.py | bca76446204a4d8a3e3373d62517eb9c85a8dc70 | [
"MIT"
] | permissive | AktanKasymaliev/django-video-hosting | c33d341a7709a21869c44a15eb6a3b6e9a783f54 | b201ed3421025da22b43405452bde617ea26a90f | refs/heads/main | 2023-07-18T08:10:00.289537 | 2021-09-02T20:15:41 | 2021-09-02T20:15:41 | 387,730,116 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,039 | py | """
Django settings for config project.
Generated by 'django-admin startproject' using Django 3.2.5.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
import os
fro... | [
"aktan.kasymaliev@icloud.com"
] | aktan.kasymaliev@icloud.com |
b5915b18fbbba281d99d4d188ad3de150336d99e | dbaad22aa8aa6f0ebdeacfbe9588b281e4e2a106 | /0423 Pandas/1-複習-pandas/Pandas1_csv_-plot1.py | 58fb6438f52cd86d1347b1d57e7b87de2c826879 | [
"MIT"
] | permissive | ccrain78990s/Python-Exercise | b4ecec6a653afd90de855a64fbf587032705fa8f | a9d09d5f3484efc2b9d9a53b71307257a51be160 | refs/heads/main | 2023-07-18T08:31:39.557299 | 2021-09-06T15:26:19 | 2021-09-06T15:26:19 | 357,761,471 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,289 | py | #!/usr/bin/env python
# -*- coding=utf-8 -*-
__author__ = "Chen"
# 0423 練習
"""
資料出處:
公開發行公司股票發行概況統計表_New
https://data.gov.tw/dataset/103533
主要欄位說明:
年月、上市家數、上市資本額_十億元、上市成長率、上市面值_十億元、上市市值_十億元、
上櫃家數、上櫃資本額_十億元、上櫃成長率、上櫃面值_十億元、上櫃市值_十億元、
未上市上櫃家數、未上市上櫃資本額_十億元、公告日期
"""
import pandas as pd
df = pd.read_csv('每月_公開發行公司股票發行概況統計表.... | [
"47476106+ccrain78990s@users.noreply.github.com"
] | 47476106+ccrain78990s@users.noreply.github.com |
7023c1ee2710feaa888de4d2ad13b09a40472335 | 7209bab118b61d6ae36cca7f725226518bb9c0ec | /Drivingschool/urls.py | 53f7eee7661676e0ac01be06f1349a4aae4bdb20 | [] | no_license | saaid960/driving1 | a965e117d7b41a038bcf8f73c1b1e3f9dc04e1f2 | 63c1327ba64cb5e0ad1fafb02de86b641e599c07 | refs/heads/master | 2023-04-12T04:20:43.062582 | 2021-04-25T06:03:09 | 2021-04-25T06:03:09 | 344,208,582 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,420 | py | """Drivingschool URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class... | [
"saaid7600@gmail.com"
] | saaid7600@gmail.com |
f09d1140e195dbf860ff3a408fbcd67171d8c3f0 | 834d7ea5179414f17d37f3bb58164b8f6ac11b24 | /bin/MadGraph5_aMCatNLO/cards/production/2017/13TeV/bbDM_2HDMa/Multigrid_producer.py | 465a227c5e5e12cba4fea295a8cb75925b14a0c1 | [] | no_license | diracyoon/genproductions | aa9ee41ac1dde9e14ed039496c3259328ece7073 | a7740f4d28c7bfff4e71827dc807d57d974e29b7 | refs/heads/master | 2021-01-11T11:22:44.685243 | 2018-11-23T14:05:36 | 2018-11-23T14:05:36 | 72,719,084 | 1 | 0 | null | 2016-11-03T07:21:29 | 2016-11-03T07:21:29 | null | UTF-8 | Python | false | false | 3,326 | py | import sys
import os
verbose = False
old_cardsPath = 'Template'
prefix = 'bbDM_2HDMa_MH3_AA_MH4_XX_Mchi_YY'
os.system('mkdir '+ old_cardsPath+'/'+prefix)
os.system('cp '+old_cardsPath+'/'+'run_card.dat'+' '+ old_cardsPath+'/'+prefix+'/bbDM_2HDMa_MH3_AA_MH4_XX_Mchi_YY_run_card.dat' )
os.system('cp '+old_cardsPath... | [
"tiwariPC@users.noreply.github.com"
] | tiwariPC@users.noreply.github.com |
209064d49d8c00a51c9b5b172250822afd75a2ac | c88ea9215c3f87c5a06e8f98ea57931144d4c022 | /tests/strategy/filtering/test_thunk.py | 9e1bdabd3eadf83a7e9079a3ccbb0d41ec00701e | [] | no_license | dylandoamaral/certum | 980e01dac2febfb1c9da7cb7be5301a5a6a91f3d | d8595cb4c3a101f9a78cddc1aa2c51cccac9095a | refs/heads/main | 2023-03-13T23:00:25.733011 | 2021-03-14T10:06:14 | 2021-03-14T10:06:14 | 332,206,245 | 1 | 0 | null | 2021-03-14T10:06:15 | 2021-01-23T12:34:39 | Python | UTF-8 | Python | false | false | 927 | py | import pytest
from certum.error import Error
from certum.strategy.filtering.thunk import ThunkFiltering
@pytest.mark.parametrize(
"errors, result",
[
([Error(["x"], "my message")], 1),
([Error(["x", "b"], "my message")], 1),
([Error(["x"], "my message"), Error(["x", "b"], "my message"... | [
"noreply@github.com"
] | dylandoamaral.noreply@github.com |
473edc044398c5b3eca2579faca5a7c518d2a277 | 10e5b1b2e42a2ff6ec998ed900071e8b5da2e74e | /array/0509_fibonacci_number/0509_fibonacci_number.py | 5d815145881d946e9ff8a001d2a66e9ff2dcd44e | [] | no_license | zdyxry/LeetCode | 1f71092d687316de1901156b74fbc03588f0b0a5 | b149d1e8a83b0dfc724bd9dc129a1cad407dd91f | refs/heads/master | 2023-01-29T11:59:14.162531 | 2023-01-26T03:20:23 | 2023-01-26T03:20:23 | 178,754,208 | 6 | 4 | null | null | null | null | UTF-8 | Python | false | false | 806 | py | # -*- coding: utf-8 -*-
class Solution(object):
def fib(self, N):
if N <= 1:
return N
return self.fib(N - 1) + self.fib(N - 2)
def fib2(self, N):
array = [i for i in xrange(N)]
for i in xrange(2, N+1):
array[i] = array[i-1] + array[i-2]
return ... | [
"zdyxry@gmail.com"
] | zdyxry@gmail.com |
aa2d46b8434f07ea0404ccb72de436955c2f5a6f | d260346cf55f36c0a97b2b68fa65cabbf6f16564 | /witheppy/runner.py | e8cf1cb86ca49af4d13cd292146c2921fc0ec00c | [
"MIT"
] | permissive | pyenergyplus/witheppy | d27ba26f761d270b8787166c2c71193fcddb374b | cf1870827d43a0068cb63b93634a3deaa862241c | refs/heads/master | 2023-07-07T05:04:28.885150 | 2023-06-29T20:39:26 | 2023-06-29T20:39:26 | 153,138,024 | 10 | 2 | MIT | 2023-06-29T20:39:27 | 2018-10-15T15:32:30 | Python | UTF-8 | Python | false | false | 1,468 | py | # Copyright (c) 2019 Santosh Philip
# =======================================================================
# Distributed under the MIT License.
# (See accompanying file LICENSE or copy at
# http://opensource.org/licenses/MIT)
# =======================================================================
"""helpers tha... | [
"santosh_philip@yahoo.com"
] | santosh_philip@yahoo.com |
c3bb7b99c92804951ac54fb144661450664dff9e | 5312c056c32595007ca3f35c63088cfb76f2d408 | /convolutions/sequences.py | a859c50dc06ce90146df6163bbc3a1035b974eae | [] | no_license | namisama269/COMP3121-3821 | 9a46b3b59fd0b4a8017a0085fabf3e2f5acca801 | 3fd5b94a7a591ea8ce5209ac2af90119f6dc69e8 | refs/heads/main | 2023-08-23T04:25:40.814329 | 2021-11-03T04:14:36 | 2021-11-03T04:14:36 | 408,246,072 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | """
Operations on 2 sequences A and B
A = [a0,a1,...,an], B = [b0,b1,...,bm]
"""
def add(A, B):
pass
def pmul(A, B):
pass
def dot(A, B):
if len(A) != len(B):
raise ValueError("A and B must have same length")
return [A[i]*B[i] for i in range(len(A))]
def concat(A, B):
pass
def convolutio... | [
"namwarlockclash@gmail.com"
] | namwarlockclash@gmail.com |
4a29bb1b1e74602ea2d8737fb776aeaa75db8ac5 | 0ccee825e9315b5490496be46706ddfe38b36dad | /paddleball.py | 68363f367699f85e31782e7e94bfb0a034580ad9 | [] | no_license | Drewleks/python-for-kids | dd86bee3f110c779fbfa64aab982e2fec18fd02f | 2896df13f511456ca1682b077ca82086082e7c27 | refs/heads/master | 2020-04-07T15:58:46.274090 | 2019-06-19T20:28:54 | 2019-06-19T20:28:54 | 158,509,999 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,421 | py | from tkinter import *
import random
import time
class Ball:
def __init__(self, canvas, paddle, color):
self.canvas = canvas
self.paddle = paddle
self.id = canvas.create_oval(10, 10, 25, 25, fill=color)
self.canvas.move(self.id, 245, 100)
starts = [-3, -2, -1, 1, ... | [
"noreply@github.com"
] | Drewleks.noreply@github.com |
13be7231187d37ac75c66c3d2fed7e893c559c16 | e93ba589366452ccb47ccbaf1ec4c613ba8bbc73 | /clase4_map.py | 539de9b06741a829ff7b01afd7cef891a524be75 | [] | no_license | ericksc/pythonbasico | d340209683084ca7059767fea39c33987f8fcac2 | 13110acef5b2af02bc11954e38dc3443a0c43419 | refs/heads/master | 2023-06-19T05:44:13.349958 | 2021-07-16T16:17:26 | 2021-07-16T16:17:26 | 369,639,836 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 57 | py |
a = [1,2,3, 'hola', 4, 5, True]
b = list(map( type, a)) | [
"ecsa@gft.com"
] | ecsa@gft.com |
1d4c1a6a7d097727c67229681c7abf1bfe13d42a | 05e99875ebdb5b95fe478bc9a0dedfc6adae5442 | /render.py | db6d102a7db6785bf36f50afef50cde267b9eb80 | [] | no_license | dstathis/renderdocs | 96d7fea587f7760aa3526eb3c58100e8ea8cc2ba | cac27f25f66f1c72ab918b4e00670a211154bf79 | refs/heads/master | 2022-12-18T20:00:25.220294 | 2020-09-28T21:13:01 | 2020-09-28T21:13:01 | 296,403,587 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,644 | py | #!/usr/bin/env python3
from __future__ import print_function
import pickle
import os.path
import subprocess
from pathlib import Path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
# If modifying these scopes, delet... | [
"dylan@theone.ninja"
] | dylan@theone.ninja |
0a6f99febf158ce23215714249263dc107358160 | 2724412db1fc69b67b74a7d1c4ca4731962908d3 | /tests/test_streams.py | fd7c66a0bdc95eac88148387db0573a5c90b4496 | [
"BSD-3-Clause"
] | permissive | Tijani-Dia/websockets | a981267685e681df822307bce4ec7eb781e9927d | ed9a7b446c7147f6f88dbeb1d86546ad754e435e | refs/heads/main | 2023-08-23T13:10:16.030126 | 2021-10-08T20:18:24 | 2021-10-28T20:17:30 | 425,114,573 | 1 | 0 | BSD-3-Clause | 2021-11-05T23:56:39 | 2021-11-05T23:56:39 | null | UTF-8 | Python | false | false | 6,055 | py | from websockets.streams import StreamReader
from .utils import GeneratorTestCase
class StreamReaderTests(GeneratorTestCase):
def setUp(self):
self.reader = StreamReader()
def test_read_line(self):
self.reader.feed_data(b"spam\neggs\n")
gen = self.reader.read_line(32)
line = ... | [
"aymeric.augustin@m4x.org"
] | aymeric.augustin@m4x.org |
0c41eb9b825513fc3f392c454d24189c96027204 | c3796ebebb42e55878556a53abad1a2e18fa4020 | /test/functional/p2p_unrequested_blocks.py | f90431fdef055f22d5946052e24c023ed7e313de | [
"MIT"
] | permissive | lycion/genex-project | a9e54d22138ca81339f76bba166aa9f366fa9dd8 | fc103e93ee274dc57179d01c32b0235b29e364ca | refs/heads/master | 2020-03-29T02:18:33.445995 | 2018-08-07T23:56:27 | 2018-08-07T23:56:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,842 | py | #!/usr/bin/env python3
# Copyright (c) 2015-2017 The Genex Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test processing of unrequested blocks.
Setup: two nodes, node0+node1, not connected to each other. Node1... | [
"40029035+genexcore@users.noreply.github.com"
] | 40029035+genexcore@users.noreply.github.com |
4b14a84a25716004baaf55a0e43796fab1a29293 | a137466dbaa5d704cd5a15ab9dfd17907b24be04 | /algo2/mrdqn/agent.py | 21a44e7aca50bb7bc677d14406d87263a932f502 | [
"Apache-2.0"
] | permissive | xlnwel/g2rl | 92c15b8b9d0cd75b6d2dc8df20e6717e1a621ff6 | e1261fdd2ce70724a99ddd174616cf013917b241 | refs/heads/master | 2023-08-30T10:29:44.169523 | 2021-11-08T07:50:43 | 2021-11-08T07:50:43 | 422,582,891 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,158 | py | import tensorflow as tf
from utility.tf_utils import softmax, log_softmax, explained_variance
from utility.rl_utils import *
from utility.rl_loss import retrace
from core.decorator import override
from algo.mrdqn.base import RDQNBase, get_data_format, collect
class Agent(RDQNBase):
""" MRDQN methods """
@tf.... | [
"122134545@qq.com"
] | 122134545@qq.com |
457db9cf31f17eff66a91f40c6afac4e33165f21 | c2e2d1a80850017b95931752801024eb3f03b66a | /revision/repeated_word.py | 2be1c4bb117045c352ee5c281760dcd177c55f98 | [] | no_license | shreyasvinaya/School_assignments | 61e7c909f1f0764d0978455d137a962e05e34c5e | 2c2dbd328fc896b70555176802c1c2166c974353 | refs/heads/master | 2020-07-08T18:58:15.001500 | 2019-11-19T05:01:12 | 2019-11-19T05:01:12 | 203,750,066 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 326 | py | #most repeated word
a=input('enter a sentence')
b=a.split()
print(b)
d={}
for i in range(len(b)):
pass
if b[i] not in d:
d[b[i]]=1
else:
for j in d:
pass
if b[i]==j :
pass
d[b[i]]+=1
highest=0
item=''
for q in d:
if d[q]>highest :
pass
highest=d[q]
item=q
print(item,hi... | [
"noreply@github.com"
] | shreyasvinaya.noreply@github.com |
b77ad5adbfe3bdc3c5a57d4185371cc854289ac2 | a07124716edd86159dff277010132ba9c5cd0f75 | /Text-Based Browser/task/tests.py | 3ca883bce21f71b1767281f280b941e8d1d999d1 | [
"MIT"
] | permissive | drtierney/hyperskill-TextBasedBrowser-Python | 27a15fa0bd44a927a9552d4815a0b4ab69375710 | a4f2ac60643559e580b75a02078a679e5f1f0a2c | refs/heads/main | 2023-08-28T04:24:51.693648 | 2021-10-25T17:34:58 | 2021-10-25T17:34:58 | 415,304,838 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,637 | py | from hstest.stage_test import StageTest
from hstest.test_case import TestCase
from hstest.check_result import CheckResult
import os
import shutil
import sys
if sys.platform.startswith("win"):
import _locale
# pylint: disable=protected-access
_locale._getdefaultlocale = (lambda *args: ['en_US', 'utf8'])
C... | [
"d.r.tierney@hotmail.co.uk"
] | d.r.tierney@hotmail.co.uk |
9aba1899299285447301d3bd0bbab2728dbffe70 | 2f5e366b7dc799e77ea7a4200e7a491f78a538b9 | /src/Writer.py | 84833457bb852ecf7460d82bd22e39d03afacd74 | [] | no_license | dspray95/swarm-ai-python | 111e0555b8ec2bd823980691b4e39f5db453da26 | 156b072689badb2542b4cc8032b3733a7d33bc53 | refs/heads/master | 2020-03-11T19:02:26.953261 | 2018-04-21T14:27:54 | 2018-04-21T14:27:54 | 130,195,277 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 598 | py |
class Writer:
def __init__(self, path):
self.path = path + "\\data"
def write_file(self, aggression, distribution, dead, productivity, time):
csv = open(self.path + "swarmdata.csv", "w")
title_row = "aggression,distribution,dead,productivity,time\n"
csv.write(title_row)
... | [
"dspray95@gmail.com"
] | dspray95@gmail.com |
440882081229f4907b7d73f358e1e957fd47ae98 | 9660ada2f477f0d89f60cfd2e979824c7c97ea31 | /src/experiments/no_trading_data.py | 6903b582da442d6a8ab9f56f8ff7138f8a02fa9c | [] | no_license | JonasLaksen/deeptsa | 941464fa499ac8022f7980e59265d48d83d078b9 | 1e8f9faf6272e9720bafcb7a0269ad7301fd3cdd | refs/heads/master | 2022-12-20T21:46:39.246314 | 2020-07-19T21:28:36 | 2020-07-19T21:28:36 | 170,122,906 | 0 | 0 | null | 2022-11-21T22:47:57 | 2019-02-11T12:11:49 | Python | UTF-8 | Python | false | false | 3,705 | py | import json
import os
import pathlib
import random
import sys
from datetime import datetime
from functools import reduce
import numpy as np
import tensorflow as tf
from src.lstm_one_output import LSTMOneOutput
from src.models.stacked_lstm import StackedLSTM
from src.utils import load_data, get_features, ... | [
"pthoang94@gmail.com"
] | pthoang94@gmail.com |
03df94b728472d4265b8096044658913498868d3 | e669f692892b23cdc5829bf82e3b81ab016ec973 | /active_learning/query_strategies/core_set.py | 3a52ff7357f36990feff47e505bf04ec60b9916d | [] | no_license | JackYANG19/A-Benchmark-and-Empirical-Analysis-for-Replay-Strategies-in-Continual-Learning | 848610f94eb38de0148ef6d05af0ec4144feecce | a6be52884576d56135fd05181df747ea2323f79f | refs/heads/main | 2023-05-29T00:37:49.633513 | 2021-06-11T07:44:02 | 2021-06-11T07:44:02 | 375,931,888 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,406 | py | import numpy as np
from .strategy import Strategy
from sklearn.neighbors import NearestNeighbors
import pickle
from datetime import datetime
class CoreSet(Strategy):
def __init__(self, X, Y, idxs_lb, net, handler, args, tor=1e-4):
super(CoreSet, self).__init__(X, Y, idxs_lb, net, handler, args)
se... | [
"noreply@github.com"
] | JackYANG19.noreply@github.com |
4918810498af75369329a2204c7cccbe0e40efb1 | 40dd8330e5f78c4348bbddc2c5acfd59d793dd51 | /tools/model_converters/twins2mmseg.py | 647d41784aa07468be4b3f2e183064ad55266ad1 | [
"Apache-2.0"
] | permissive | open-mmlab/mmsegmentation | 0d12092312e2c465ede1fd7dd9847b6f2b37049c | 30a3f94f3e2916e27fa38c67cc3b8c69c1893fe8 | refs/heads/main | 2023-09-04T10:54:52.299711 | 2023-07-24T07:28:21 | 2023-07-24T07:28:21 | 272,133,018 | 6,534 | 2,375 | Apache-2.0 | 2023-09-14T01:22:32 | 2020-06-14T04:32:33 | Python | UTF-8 | Python | false | false | 2,764 | py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
from collections import OrderedDict
import mmengine
import torch
from mmengine.runner import CheckpointLoader
def convert_twins(args, ckpt):
new_ckpt = OrderedDict()
for k, v in list(ckpt.items()):
new_v = v
... | [
"noreply@github.com"
] | open-mmlab.noreply@github.com |
6332935611c8fc4d545043236f06b43121fcb9a3 | 555319a2f344a789e6971a877824111b13004c6d | /transfer_points.py | 65a0b2040789bb1378783a424f0548a72d95a945 | [] | no_license | Kairobo/Learn_Python | 66e792054e70b72039a610cb8159693352b3092e | 903f5d1d8614f4b3a81dc005362efb0ee50e8778 | refs/heads/master | 2021-01-25T09:45:00.162914 | 2018-09-12T04:53:07 | 2018-09-12T04:53:07 | 123,317,004 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,917 | py | from copy import deepcopy
import numpy as np
def vector_norm(vec):
return np.sqrt(np.power(vec[0],2)+np.power(vec[1],2))
def vector_divide(vec,divider=1):
assert(len(vec)==2)
vec_new = deepcopy(vec)
vec_new[0] = vec_new[0]/divider
vec_new[1] = vec_new[1]/divider
return vec_new
def vector_add(... | [
"kajia@umich.edu"
] | kajia@umich.edu |
2e7a4bd79b06aac3719043d6611fdd4744d9fe10 | 51065aaa884c855fb00d65abbebd6d33f99b289c | /Nenotal PDA monitoring/Software/HR_Unit_Tests.py | 5617303e8bb7e476765ed366ba2bcf0ad1bbe6df | [] | no_license | johnsonhit/Neonatal-cardiac-monitoring | e5d78ae8772f0366a764760a804c33293ee015bc | efd2b896e8ef7272d61b5f2b98e49ed6ad6e4e1a | refs/heads/master | 2020-07-25T16:43:31.984399 | 2019-03-26T02:03:23 | 2019-03-26T02:03:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,552 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 23 18:04:46 2015
@author: Moseph
"""
import unittest
class runTests(unittest.TestCase): #all of the below unit tests test the accuracy and correctness of functions used in HR_Monitor.py
# Status: All tests Run OK in ~0.03 seconds
def test_findTHRZone(self):
... | [
"noreply@github.com"
] | johnsonhit.noreply@github.com |
e00966eccc36c07429403e8283952fe96a7dc0c6 | f398d8a101679f02c86d056a7027664559d59f3d | /mediaserverV1/common/app.py | 5dbbb1bdc00586acd75186a2e07f615d8a9a8e95 | [] | no_license | sasanyi/mediaserver-client | 5c5ffcef438eb54947a7fe73a66f2fef4c52b9f1 | bd2eaadd2aa0412dd80d3fedfee9438331b48923 | refs/heads/main | 2023-05-09T19:21:03.170112 | 2021-04-20T11:59:58 | 2021-04-20T11:59:58 | 359,217,955 | 0 | 1 | null | 2021-06-02T06:58:31 | 2021-04-18T18:05:05 | JavaScript | UTF-8 | Python | false | false | 646 | py | from sqlalchemy.orm import sessionmaker
from .models import Base
class App:
__db = None
@staticmethod
def setDb(db):
App.__db = db
@staticmethod
def getDb():
if App.__db is not None:
return App.__db
else:
raise RuntimeError("Server ... | [
"savanya.sandor.jozsef@gmail.com"
] | savanya.sandor.jozsef@gmail.com |
c436a852bf1b29fdd43c22fec676f7de2348174a | da7a165522daea7c346693c5f32850017c482967 | /abc51-100/abc066/c.py | 09ed9795009df321637516a4eee2dcfb604ef0b8 | [] | no_license | SShayashi/ABC | 19f8750919208c5ff8935638dbaab941c255f914 | 3cbfee0c5251c1bb0df6306166d8d4b33bf7bb2c | refs/heads/master | 2021-05-04T21:06:10.720367 | 2020-07-11T13:59:16 | 2020-07-11T13:59:29 | 119,886,572 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 317 | py | def main():
n = int(input())
a = list(map(int, input().split()))
even = a[1::2]
odd = a[::2]
ans = []
if n % 2 == 0:
even.reverse()
ans = even + odd
else:
odd.reverse()
ans = odd + even
to_str = map(str, ans)
return " ".join(to_str)
print(main()) | [
"sshayashi0208@gmail.com"
] | sshayashi0208@gmail.com |
668a48a3ce0d405c8471c0a654011de3bee895c6 | 96facbfa0cd5a2ca63819d67f46af3c3456631c1 | /sound4bats/plot_metrics.py | 9e4acaa3c4f6e31ed3e7ecbc9ab6650ece023e7c | [
"MIT"
] | permissive | cloudedbats/cloudedbats_sound | 114a79f88ea0dd789304b88ecf451acc4196bb3e | e9c263ed86665f2f2a0b8bed300bca0a5c5b61f6 | refs/heads/master | 2021-07-14T03:36:12.777907 | 2020-07-21T07:27:54 | 2020-07-21T07:27:54 | 158,961,160 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 329 | py | #!/usr/bin/python3
# -*- coding:utf-8 -*-
# Project: http://cloudedbats.org
# Copyright (c) 2019 Arnold Andreasson
# License: MIT License (see LICENSE.txt or http://opensource.org/licenses/mit).
import numpy
import pathlib
import dsp4bats
class PlotMetrics():
""" """
def __init__(self, debug=False):
... | [
"parallels@parallels-Parallels-Virtual-Platform"
] | parallels@parallels-Parallels-Virtual-Platform |
9c966306cb14e900ddb0fe333aef456dc990cd86 | 20854911d21af4061fb8508998f9e6221805fa11 | /compasssudoku/util.py | 0350f8e270cc274ec463fce0a507bdc1235c9e05 | [
"MIT"
] | permissive | corrodedHash/compass-sudoku-z3 | 4df43bb79e5b8143b6efae8a7b09e353d6cbc428 | 62105ce76e1965da48944d98eb7eaac16ac313b0 | refs/heads/master | 2020-09-11T08:15:29.459647 | 2020-02-27T14:12:12 | 2020-02-27T14:12:12 | 222,002,117 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,663 | py | """Contains utility"""
import enum
from typing import Tuple, List, Optional
Coord2D = Tuple[int, int]
class CardinalDirection(enum.Enum):
"""Cardinal directions"""
north = enum.auto()
east = enum.auto()
south = enum.auto()
west = enum.auto()
DIRECTION_MAP = {
CardinalDirection.north: (0, -1)... | [
"lukas.woelfer@rwth-aachen.de"
] | lukas.woelfer@rwth-aachen.de |
16f56f1f208c469a2d92b843ac849f98a7111d08 | 7087a5dd1772c9456f098bc024a894dcaeef5432 | /backup/build/new-calkube/kubernetes-6.0.0_snapshot-py2.7.egg/kubernetes/client/models/v1_delete_options.py | 575bcf443ee81e1402ef6bba7a8c440f8590df0a | [] | no_license | santhoshchami/kubecctl-python | 5be7a5a17cc6f08ec717b3eb1c11719ef7653aba | cd45af465e25b0799d65c573e841e2acb983ee68 | refs/heads/master | 2021-06-23T11:00:43.615062 | 2019-07-10T16:57:06 | 2019-07-10T16:57:06 | 145,669,246 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,530 | py | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.10.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re... | [
"root@kube-node02.local"
] | root@kube-node02.local |
5a1800a557704e33d4f51badeae781b4ae00bcca | c3a01f8bcece48f94a347b92694f90227708f507 | /pyvisa/testsuite/test_constants.py | 8c5add8034b3b0c9c0686b60af1742adea537ea8 | [
"MIT"
] | permissive | panlun/pyvisa | e16a6cdaae47bc69d932538f14c62015d17be7ab | 124c46bd2ad89e49031339d6181255c2808fecbc | refs/heads/master | 2022-11-21T13:07:29.280849 | 2020-06-24T22:23:27 | 2020-06-24T22:23:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 649 | py | # -*- coding: utf-8 -*-
"""Test objects from constants.
This file is part of PyVISA.
:copyright: 2019-2020 by PyVISA Authors, see AUTHORS for more details.
:license: MIT, see LICENSE for more details.
"""
from pyvisa.constants import DataWidth
from . import BaseTestCase
class TestDataWidth(BaseTestCase):
def ... | [
"marul@laposte.net"
] | marul@laposte.net |
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