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from selenium.webdriver import Firefox from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions from selenium.webdriver.support.ui import WebDriverWait from selenium.common.exceptions import NoSuchElementException from selenium.common.exceptions import ElementNotInteractabl...
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print("Initializing...") from ev3dev import ev3 from time import sleep motor1 = ev3.LargeMotor('outA') motor2 = ev3.LargeMotor('outC') motor3 = ev3.LargeMotor('outD') print("Initialization complete!") input("Press enter to start") ramp_up_speed = 300 motor1.run_forever(speed_sp=ramp_up_speed) motor2.run_forever(sp...
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#API CLI client for record store import requests url = "http://localhost:8000/" #Start Functions # Login/logout ======================================================================== def login(url): username = input("Username: ") password = input("Password: ") auth_token = requests.post(url + "auth/tok...
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from __future__ import print_function from __future__ import absolute_import from __future__ import division import compas_ghpython from compas_ghpython.artists.primitiveartist import PrimitiveArtist __all__ = ['LineArtist'] class LineArtist(PrimitiveArtist): """Artist for drawing lines. Parameters --...
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#coding:utf-8 from requests.exceptions import RequestException from bs4 import BeautifulSoup from selenium import webdriver from sqlalchemy import create_engine import datetime import pymysql import requests import pandas as pd import time import random import re #获取动态cookies def get_cookie(): options = webdri...
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# Use a list comprehension to make a list containing tuples (i, j) # where `i` goes from 1 to 10 and `j` is corresponding to `i` squared. # первый вариант, сделал его до того как проходил тест range_list = [x for x in range(1, 11)] squared_list = [x ** 2 for x in range(1, 11)] final_list = [(range_list[x], squared_lis...
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from pymysql import connect # 链接数据库 conn = connect(host='172.16.20.46', port=3306, user='root', password='123456', database='jing_dong', charset='utf8') # 获取cursor对象 cs1 = conn.cursor() # sql注入 # # 执行select语句 # cs1.execute('select * from goods;') # # print(row) # for row in cs1.fetchall(): # print(row) # 插入数据 ...
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m = input("Ingrese una distancia en metros: ") m = float(m) #print(m) i = 39.27*m #print(i) print ("La distancia en pulgadas es: "+ str(i)) f = i/12 print ("La distancia en pies es: "+str(f))
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from modules import sample as sa print(sa.a) sa.fun1() sa.fun2()
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# ---------------------------------------------------------------------------- # Copyright (c) 2016-2018, QIIME 2 development team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # ------------------------------------------------...
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from django.contrib import admin from .models import Participar # Register your models here. admin.site.register(Participar)
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from django.apps import AppConfig class CobaRequestConfig(AppConfig): name = 'coba_request'
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''' Author: Yamini Joshi ''' #!/usr/bin/env python import sys import re from porterStemmer import PorterStemmer import copy from infixtopostfix import Stack, infixToPostfix from collections import defaultdict import time porter=PorterStemmer() class QueryIndex: def __init__(self): self.index={} ...
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import matplotlib.pyplot as plt import numpy as np from tqdm import tqdm from mpl_toolkits.mplot3d import axes3d r1 = [] def CreateSphere(Npoints, R): X = [] Y = [] Z = [] r = 0. theta = 0. phi = 0. for i in range(Npoints): ...
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from django.db import models from markdown import markdown class FAQ(models.Model): title = models.CharField(max_length=200) body = models.TextField() body_html = models.TextField( editable=False, blank=True, null=True ) def __unicode__(self): return self.title ...
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# coding: utf-8 # In[29]: train_data=[ ("""What Are We Searching for on Mars? Martians terrified me growing up. I remember watching the 1996 movie Mars Attacks! and fearing that the Red Planet harbored hostile alien neighbors. Though I was only 6 at the time, I was convinced life on Mars meant little green men wield...
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from dataclasses import dataclass, field from typing import Any from jinja2 import BaseLoader, Environment, StrictUndefined from mend.protocols import Generator, Tree from mend.templates import TemplateTree @dataclass(frozen=True) class TemplateGenerator(Generator): """ Generate from templates. """ ...
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"""For using a Recurrent Neural Network (RNN) to guide miniKanren""" from __future__ import print_function import sys import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence from collections import...
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############################################################################## # Parte do livro Introdução à Programação com Python # Autor: Nilo Ney Coutinho Menezes # Editora Novatec (c) 2010-2019 # Primeira edição - Novembro/2010 - ISBN 978-85-7522-250-8 # Segunda edição - Junho/2014 - ISBN 978-85-7522-408-3 # Terce...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """ Waltech Ladder Maker is distributed under the MIT License. Copyright (c) 2014 Karl Walter. karl (at) waltech.com Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to de...
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# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc import iris_classifier_pb2 as iris__classifier__pb2 class HandlerStub(object): """Missing associated documentation comment in .proto file.""" def __in...
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''' Created on Nov 11, 2019 @author: 16368 ''' class person: def __init__(self, firstname, lastname, dob, address1, city, personState, zip): self._firstname = firstname self._lastname = lastname self._dob = dob self._address1 = address1 self._city = city ...
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from time import sleep import os from pynput.keyboard import Listener from colorama import init, Fore, Back, Style from random import choice import movimiento_ruleta import ganar import perder import playsound import vlc clear = lambda: os.system('cls') # Resultado aleatoria l_random = [i for i in range(37)] #Int...
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from setuptools import find_packages, setup def file_read(path: str) -> str: with open(path, encoding='utf-8') as fd: return fd.read() setup( name='textdatasetcleaner', version='0.0.5', author='Denis Veselov', description='Pipeline for cleaning (preprocessing/normalizing) text datasets',...
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def example_profile(): return { 'ATK': { 'ATK': 0.0, 'DEF': 0.0, 'MAG': 0.0, 'RES': 0.0, 'SPD': 0.0, 'HP' : 0.0 }, 'DEF': { 'ATK...
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FILE_PATTERN = "images/image%05d.png" import cv2 class VideoController(object): def __init__(self): super().__init__() self._cap = cv2.VideoCapture(FILE_PATTERN) self._paused = True ret, frame = self._cap.read() self._saved_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) ...
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from sklearn import datasets import pandas as pd import numpy as np import matplotlib.pyplot as plt from pandas.plotting import scatter_matrix plt.style.use('ggplot') iris = datasets.load_iris() #print(type(iris)) #print(iris.keys()) #print(type(iris.data), type(iris.target)) #print(iris.data.shape) #print...
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# Based on code writted by Davi Frossard, 2016 import tensorflow as tf import numpy as np import layers FLAGS = tf.app.flags.FLAGS class vgg16: ''' VGG16 Model with ImageNet pretrained weight loader method Weights can be downloaded from: https://www.cs.toronto.edu/~frossard/vgg16/vgg16_weights.npz ...
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#! /usr/bin/python # -*- coding:utf-8 -*- import RPi.GPIO as GPIO import time Trig_Pin =20 Echo_Pin =21 GPIO.setmode(GPIO.BCM) GPIO.setup(Trig_Pin, GPIO.OUT, initial = GPIO.LOW) GPIO.setup(Echo_Pin, GPIO.IN) print ('test') time.sleep(2) def checkdist(): GPIO.output(Trig_Pin, GPIO.HIGH) time.sleep(0.00015) ...
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from django.db import models # Create your models here. class TODO(models.Model): text = models.CharField(max_length=40) complete = models.BooleanField(default=False) def __str__(self): return self.text
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#!/usr/bin/python # coding=utf-8 # Created by zhaohongwei on 2016-11-03 # Blog: http://blog.csdn.net/z_johnny import unittest class WebTest(unittest.TestCase): '''Web Test''' def setUp(self): print 'one' def tearDown(self): '''If setUp() succeeded, the tearDown() method will be run whethe...
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class StudentNode(object): """description of class""" def __init__(self, requestObj, studentObj, period): self.requestObj = requestObj self.studentObj = studentObj self.period = period
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#importing the libraries from imutils.object_detection import non_max_suppression import cv2 import numpy as np import argparse import time # construct the argument parser ap = argparse.ArgumentParser() ap.add_argument("-i", "--image", type=str, help="path to input image") ap.add_argument("-east", "--east", type=str...
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import imp_unittest, unittest import wtc import wx import random try: import numpy as np haveNumpy = True except ImportError: haveNumpy = False #--------------------------------------------------------------------------- w = 600 h = 400 num = 500 colornames = ["BLACK", "BLUE", "BLUE...
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from typing import Any, BinaryIO from Dort.util.struct_stream import StructStream class int8(StructStream): PACK = "!b" class uint8(StructStream): PACK = "!B" class int16(StructStream): PACK = "!h" class uint16(StructStream): PACK = "!H" class int32(StructStream): PACK = "!l" class uint...
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# -*- coding: utf-8 -*- """ Created on Wed Mar 25 19:11:59 2020 @author: pit """ import numpy as np import pandas as pd file = 'D:\MachineLearningPandaIT\Materials\imdb.csv' ############################################################################### def data_preproc(file): try: df = pd....
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class Visualize: def draw(self, traffic_graph, square_size, open_file = None): mat = [[] for i in range(square_size+1)] for i in range(square_size + 1): for j in range(square_size + 1): mat[i].append("") for car in traffic_graph.cars: row = 0 column = 0 if(get_orientation(car.road_segment) == ...
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""" This file contains test vectors obtained from the Round 3 implementationof Falcon. Note that there are a few variants of Falcon: these KATs are by tweaking the function test_external_API in the file test_falcon.c. Inside test_external_API, we add "shake256_flip(&rng);" after initializing the rng. Inside te...
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import json import gzip import argparse """ Decompresses GZ file to JSON file """ def decompress_gz_to_json(gz_path, save_path): with gzip.open(gz_path, "rt", encoding="utf-8") as f: decompressed = json.load(f) with open(save_path, 'w') as f: f.write(json.dumps(decompressed, indent=4, sort_k...
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import os import arm.utils import arm.assets as assets def parse_context(c, sres, asset, defs, vert=None, frag=None): con = {} sres['contexts'].append(con) con['name'] = c['name'] con['constants'] = [] con['texture_units'] = [] con['vertex_elements'] = [] # Names con['vertex_shader'] =...
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import re import requests from subprocess import call, PIPE, Popen import os import jenkins import random import socket from urllib.parse import urlparse import sys jenkinsurl=os.environ["SLACK_JENKINS_URL"] jenkinsusername=os.environ["SLACK_JENKINS_USERNAME"] jenkinspassword=os.environ["SLACK_JENKINS_PASSWORD"] serv...
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""" Given a function that accepts **unlimited** arguments, check and count how many data types are in those arguments. Finally return the total in a list. List order is: [int, str, bool, list, tuple, dictionary] ### Examples count_datatypes(1, 45, "Hi", False) ➞ [2, 1, 1, 0, 0, 0] count_datatype...
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""" Tipe data dictionary sekedar menghubungkan antara KEY dan Value KVP = Key Value Pair dictionary ~ kamus """ kamus_id_en = {} kamus_id_en['anak'] = 'son' kamus_id_en['ibu'] = 'mother' kamus_id_en['bapak'] = 'father' # kamus_id_en = {'anak': 'son', 'ibu': 'mother', 'bapak': 'father'} #sama seperti diatas lebih simpe...
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"""PyWebApp URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.0/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-base...
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#!/Users/paulamibhattacharya/pelican/bin/python # $Id: rst2pseudoxml.py 4564 2006-05-21 20:44:42Z wiemann $ # Author: David Goodger <goodger@python.org> # Copyright: This module has been placed in the public domain. """ A minimal front end to the Docutils Publisher, producing pseudo-XML. """ try: import locale ...
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import pickle import os import numpy as np from astropy.io import fits from astropy.time import Time import argparse from parse_archival_scan import get_v0_output_dir from contextual_info import archival_data import healpy as hp import logging import requests def extract_az_zen(nside, index): return hp.pix2ang(nsi...
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from app import create_app,db from flask_script import Manager,Server from app.models import Blogs,User,Role from flask_migrate import Migrate, MigrateCommand # Creating app instance app = create_app('production') # app = create_app('development') manager = Manager(app) manager.add_command('server',Server) @manage...
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#!/usr/bin/env python import Queue import threading import sys, time import urllib2 import json import framework from moniItems import mon from daemon import Daemon class MyDaemon(Daemon): def run(self): print 'start' framework.startTh() print 'stop2' if __name__ == "__main__": daemon...
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#!/usr/bin/env python # -*- coding: UTF-8 -*- from zbxapi import * import json import xlrd def excel_info(): data = xlrd.open_workbook("zabbix.xlsx") data.sheet_names() table = data.sheets()[0] nrows = table.nrows - 1 print(table.nrows) hosts = [] for i in range(nrows): host = {} location = table.cell(i+1,...
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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
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#coding:utf-8 import pygame as pg ''' 搭建界面 用于完成窗口和背景的显示 ''' def main(): #1、创建一个窗口,用来显示内容 480*852的分辨率 screen = pg.display.set_mode((480, 852), 0, 32) #2、创建一个和窗口大小一致的图片,用来充当背景 background = pg.image.load("./feiji/background.png") #3、把背景图片放入到窗口中去显示 while True: #设定需要显示的背景图 screen...
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from __future__ import annotations from prettyqt import constants, widgets DockWidgetArea = constants.DockWidgetArea class AdjustingBoxLayoutDockWidget(widgets.DockWidget): """DockWidget adjusting its child widget QBoxLayout direction. The child widget layout direction is set according to dock widget area...
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# -*- coding: utf-8 -*- """ oldspeak.console this package is a namespace for the command-line handlers. check out the main.py file for more details """
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m2 = 'hello from m2'
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# -*- coding: utf-8 -*- from PyQt5.QtWidgets import QApplication, QPushButton, QColorDialog , QWidget from PyQt5.QtCore import Qt from PyQt5.QtGui import QColor,QIcon import sys class ColorDialog ( QWidget): def __init__(self ): super().__init__() color = QColor(0, 0, 0) self.setGeometry(300, 300, 350, 28...
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from django.contrib import admin from .models import Supplements # Register your models here. admin.site.register(Supplements)
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import time from locators.locators import Locators class DeliveryMethodPage(): def __init__(self, driver): self.driver = driver self.one_day_delivery_radiobutton_xpath = Locators.one_day_delivery_radiobutton_xpath self.continue_button_xpath = Locators.delivery_continue_button_xpath d...
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person = { 'first_name': 'eric', 'last_name': 'matthes', 'age': 43, 'city': 'sitka', } print(person['first_name']) print(person['last_name']) print(person['age']) print(person['city'])
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from django.urls import path from .views import * urlpatterns = [ path('author/<int:pk>', AuthorDetail.as_view(), name='author_detail'), path('binding/<int:pk>', BindingDetail.as_view(), name='binding_detail'), path('format/<int:pk>', FormatDetail.as_view(), name='format_detail'), path('genre/<int:pk>'...
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import pytest from django.test import TestCase from django.contrib.auth.models import Group, User class MyTest(TestCase): fixtures = ['group.json', 'user.json'] def test_should_create_group(self): group = Group.objects.get(pk=1) self.assertEqual(group.name, 'appusers') def test_should_cr...
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# coding: utf-8 import logging.config import logging import time class Log(): logger = None @classmethod def set_up(cls, logfile, logger): logging.config.fileConfig(logfile) Log.logger = logging.getLogger(logger) def getLog(self): if Log.logger == None: Log.logger...
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'''Normal Example without using threads''' # import time # def doubles(numbers): # for i in numbers: # time.sleep(1) # print("The double:", 2*i) # def squares(numbers): # for j in numbers: # time.sleep(1) # print("The squares:", j*j) # numbers = [1,2,3,4,5,6] # begintime = time.t...
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import sys, os sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from settings.my_quant_platform_conf import CONFIG from error_handler import CollectionConnectionError from pymongo import MongoClient class DbConn: def __init__(self): self.DATABASE = CONFIG.DATABASE self...
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"""Tests for the pixel observation wrapper.""" import pytest import numpy as np import evo_gym from evo_gym import spaces from evo_gym.wrappers.pixel_observation import PixelObservationWrapper, STATE_KEY class FakeEnvironment(evo_gym.Env): def __init__(self): self.action_space = spaces.Box( ...
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import nltk, random, getpass, os, pickle; from nltk.corpus import nps_chat; from nltk.corpus import brown; from nltk import word_tokenize; from nltk.corpus import movie_reviews as movies default_sentence_set = []; new_sentence_set = []; Is_Classifier_TrainingRequired = "N"; classifier_training=[]; posts = nltk.corpu...
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""" > 论文标题:Efficient Estimation of Word Representations in Vector Space > 论文链接:https://arxiv.org/pdf/1301.3781.pdf word2vec的复现,前向传播与反向传播都是使用的tensorflow2 可参考https://zhuanlan.zhihu.com/p/330583437 本文实现了: 1、CBOW与SG两种结构 2、huffman树与负采样两种加速方式 3、将huffman树压缩为数组 训练:SGD,考虑到每个样本、每个标签在huffman树上的编码不同,所以每次只训练了一个样本(可以通过...
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# from future import __annotations__ from typing import * import asyncio import sys async def send_file(file): reader, writer = await asyncio.open_connection('localhost', 8888) for message in file: writer.write(message.encode()) await writer.drain() data = await reader.read(100) ...
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# -*- codi# -*- coding: utf-8 -*- """This module contains all configuration information used to run simulations """ from multiprocessing import cpu_count from collections import deque import copy import os from math import pow from icarus.util import Tree # GENERAL SETTINGS # Level of logging output # Available optio...
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# Module to run tests on initializing AbsSurvey # TEST_UNICODE_LITERALS import numpy as np import glob, os, imp, pdb import pytest from pyigm.surveys.llssurvey import LLSSurvey from ..lls_literature import load_lls_lit remote_data = pytest.mark.remote_data lt_path = imp.find_module('linetools')[1] ''' def data_pa...
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from django import forms from tarefas.models import Tarefas class TarefasModelForms(forms.ModelForm): class Meta: model = Tarefas fields = '__all__'
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import pandas as pd import streamlit as st import plotly.express as px import numpy as np import pydeck as pdk import time my_bar = st.progress(0) for percent_complete in range(100): time.sleep(0.01) my_bar.progress(percent_complete + 1) @st.cache def get_data(): url = "listings.csv" return pd.read_...
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from flask import url_for from flask_base_tests_cases import TestFlaskBase class TestUserBP(TestFlaskBase): def test_api_deve_registrar_usuario_na_base(self): user = { 'username': 'test', 'password': '1234' } esperado = { 'id': '1', 'usernam...
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from django.conf import settings from django.db import models from django.contrib.auth.base_user import AbstractBaseUser, BaseUserManager from django.contrib.auth.models import PermissionsMixin from django.utils import timezone from django.utils.translation import gettext_lazy as _ from django.contrib.auth import get_u...
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from tool import TreeNode def depth(root): # 递归 if not root: return 0 return max(depth(root.left), depth(root.right)) + 1 def depth1(root): # 层次遍历:队列 depth = 0 tmp = [] tmp.append(root) while tmp: depth += 1 for i in range(len(tmp)): new = tmp[0] ...
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#!/usr/bin/python import os import socket import struct import argparse import tools as t p = 'v:\\' g_cmd = '' while g_cmd: g_cmd = raw_input('>') gp = t.get_cmd_group(g_cmd) if gp[0] == 'ls': a1 = os.listdir(p) for i in a1: print i elif gp[0] == 'del': pp = p +...
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import numpy as np import sys coords = [list(map(int, line.rstrip().split(", "))) for line in sys.stdin] xs = np.array([x for (x, y) in coords]) ys = np.array([y for (x, y) in coords]) def closest(x, y): ds = np.abs(xs - x) + np.abs(ys - y) m = np.argmin(ds) if np.sum(ds == ds[m]) == 1: return m return No...
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from extra.aula import rodar from Adafruit_CharLCD import Adafruit_CharLCD @rodar def programa(): # importação de bibliotecas from gpiozero import LED from gpiozero import Button from time import sleep # definição de funções def apertaELiga(): led.toggle() return de...
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# -*- coding: utf-8 -*- # Scrapy settings for airi_pic project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # https://doc.scrapy.org/en/latest/topics/settings.html # https://doc.scrapy.org/en/latest/topi...
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""" A Simulation of the Q,r Inventory Policy ========================================== we simulate a periodic-review inventory process subjected to the Q,r policy. Model -------------- Orders arrive according to a Poisson process with rate \mu at an inventory. We assume that orders are accepted in accordance to t...
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import markovify import pickle import pronouncing as p import config import os, sys import random random.seed(1) input_file = "raps_all.txt" LINE_LENGTH = [6, 9] # prints verbose error messages def debug(line): if config.verbose: sys.stdout.write(line) sys.stdout.flush() class RapIndex: de...
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import socket iface = 's1-eth1' dstMac = b'\x01\x01\x01\x01\x01\x01' srcMac = b'\x02\x02\x02\x02\x02\x02' proto = b'\x88\xb5' # protocol type is IEEE Local Experimental packet = dstMac + srcMac + proto + "012345678901234567890123456789012345678901234567890123456789" s = socket.socket(socket.AF_PACKET, socket.SOCK_RAW, ...
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import urllib.request import from bs4 import BeautifulSoup # Ignore SSL certificate errors ctx = ssl.create_default_context() ctx.check_hostname = False ctx.verify_mode = ssl.CERT_NONE #US nonfarm payroll and unemployment url=urllib.request.urlopen('https://www.bls.gov/news.release/empsit.nr0.htm', context=ctx).read()...
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import logging from concurrent import futures from pymongo import monitoring from opencensus.trace import execution_context, tracer from opencensus.trace.ext.pymongo.trace import CommandTracer from opencensus.trace.propagation import binary_format from opencensus.trace.tracers.noop_tracer import NoopTracer log = log...
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#Decisions with if...elif...else statements #Beep learning colours print("1.Red") print("2.Blue") print("3.Green") print("4.Yellow") Choice= int(input ("\n Select the number of your favorite colour:" )) if (Choice==1): print("You choose Red!") elif (Choice == 2): print("You choose Blue!") elif (Choice==3): ...
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_remote_command = lambda magic_word: 'remote:{}'.format(magic_word) class Message(object): def __init__(self, content, additional = None): self.__content = content self.__additional = additional @property def content(self): return self.__content @property def additional...
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from django.shortcuts import render from rest_framework import status from rest_framework.response import Response from rest_framework.decorators import api_view from rest_framework.authtoken.models import Token from .serializers import RegistrationSerializer @api_view(['POST', ]) def registration_view(request): ...
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''' Created on Jul 30, 2017 @author: max ''' from numpy import * def loadDataSet(filename): dataMat = [] labelMat = [] fr = open(filename) for line in fr.readlines(): lineArr = line.strip().split('\t') dataMat.append([float(lineArr[0]),float(lineArr[1])]) labelMat.append(float...
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import socket import time from Logger import Logger class Connection: active = True def __init__(self): self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) def connect(self, host, port): Logger.info("Trying to connect to {}:{}...".format(host, port)) retryCount = 0 while self.active: if se...
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import keras from keras.models import Sequential from keras.layers import Dense, Conv2D, Dropout, Flatten, MaxPooling2D from keras import backend as K from keras.datasets import mnist # load (downloaded if needed) the MNIST dataset (x_train, y_train), (x_test, y_test) = mnist.load_data() print(x_train.shape, y_t...
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import fire import os import statistics import sys import csv import pandas as pd import numpy as np from fairness import results from fairness.data.objects.list import DATASETS, get_dataset_names from fairness.data.objects.ProcessedData import ProcessedData, TAGS, TRAINING_PERCENT from fairness.algorithms.list import...
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from __future__ import print_function from __future__ import division import os import sys import time import datetime import argparse import os.path as osp import numpy as np import torch import torch.nn as nn import torch.backends.cudnn as cudnn from torch.utils.data import DataLoader from torch.optim import lr_sch...
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# Copyright (c) 2011 X.commerce, a business unit of eBay Inc. # Copyright 2011 OpenStack, LLC # # 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 # ...
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# coding: utf-8 from __future__ import absolute_import # import BssintlClient from huaweicloudsdkbssintl.v2.bssintl_client import BssintlClient from huaweicloudsdkbssintl.v2.bssintl_async_client import BssintlAsyncClient # import models into sdk package from huaweicloudsdkbssintl.v2.model.account_manager import Accou...
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import nltk from nltk.sentiment.vader import SentimentIntensityAnalyzer import praw reddit = praw.Reddit(client_id='x_IAA3B1ypV01Q', client_secret='vt_BW5GESY4n0yGCuUoaxkoKWug', user_agent='champagnefruit' ) nltk.download('vader_lexicon') sid = Sentiment...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals import logging from ckan import model from ckan.model import Group from ckan.plugins import toolkit from ckanext.youckan.controllers.base import YouckanBaseController from ckanext.youckan.models import MembershipRequest DB = model.meta.Session log = ...
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# -*- coding: utf-8 -*- import ConfigParser import os import string import commands import datetime import json import codecs import time if not os.path.exists('/data/aclog/db/log_data/aclog'): exit ; input_file = '/ac/etc/config/fw/org.ini' if os.path.exists('/ac/i18n/chs_flag'): js_path = '/data/aclog...
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# Don't change these imports. Note that the last two are the # class implementations that you will implement in # LogisticRegression.py and GaussianNaiveBayes.py import matplotlib.pyplot as plt import pandas as pd from LogisticRegression import LogisticRegression from GaussianGenerativeModel import GaussianGenerativeMo...
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from un_line_bot import app if __name__ == '__main__': app.run(debug=True)
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