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class Classifier: words_list = [] UNCHANGED = -1 INITIAL = 0 QUERIED = 0.5 INTRODUCTION = 1 END = 2 next_state = UNCHANGED def __init__(self): self.classified = False self.next_state = self.UNCHANGED return def is_classified(self): ...
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from pokerhand import PokerHand import time if __name__ == '__main__': with open('poker.txt', 'r') as f: then = time.time() scores = [] for line in f: hand1 = line[0:14] hand2 = line[15:] pass #print "Hand 1:", hand1, "Hand 2:", hand2.strip() ...
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contador_externo = 0 contador_interno = 0 while contador_externo < 5: while contador_interno < 6: print(contador_interno, contador_externo) contador_interno += 1 contador_externo +=1 contador_interno = 0
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#!/usr/bin/env python # -*- coding: utf-8 -*- from runner.koan import * class AboutStringManipulation(Koan): def test_use_format_to_interpolate_variables(self): value1 = 'one' value2 = 2 string = "The values are {0} and {1}".format(value1, value2) self.assertEqual("The values are ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Jun 21 10:25:01 2018 train a CNN for puma. The cnn configuration used is the one obtained in the tuning process. At the moment, this script is for a training set which is small enough to fit into memory in one go. This is the main experiment, which do...
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# -*- coding: utf-8 -*- __author__ = 'likangwei' import socket def get_ip_address(): return socket.gethostbyname(socket.gethostname())#得到本地ip def get_host_name(): return socket.gethostname() print get_ip_address()
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# # @lc app=leetcode.cn id=95 lang=python3 # # [95] 不同的二叉搜索树 II # # @lc code=start # Definition for a binary tree node. class TreeNode: def __init__(self, x): self.val = x self.left = None self.right = None class Solution: def generateTrees(self, n: int) -> List[TreeNode]: if n...
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import tensorflow as tf import numpy as np from typing import Any, List, Sequence, Tuple import utils import tqdm import threading from threading import Lock, Thread from model import Networks import gym from time import sleep import queue class trainer: #class trainer(): def __init__(self, env, par, i=0, lock=N...
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# -*- coding: utf-8 -*- """ Created on Wed Oct 16 15:27:35 2019 @author: rehakomoon """ import torchvision from pathlib import Path from PIL import Image input_dir = Path("E:/vrc_rotation/dataset/anotated/") output_dir = Path("E:/vrc_rotation/dataset/anotated_resized/") #input_dir = Path("E:/vrc_rotation/dataset/an...
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import numpy as np import matplotlib.pyplot as plt %matplotlib inline my_list = [1,2,3,4] print type(my_list) my_listarr = np.array(my_list) print my_listarr print type(my_listarr) print my_listarr.shape arr = np.zeros((4,2), dtype=np.uint8) print arr.shape print arr.dtype my_arr = np.zeros((4,2)) print my_arr.shape...
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# import libraries import urllib2 from bs4 import BeautifulSoup import csv from datetime import datetime #sudo python servo.py: from Tkinter import * import time class App: def __init__(self, master): # create Frame tkinter frame = Frame(master) frame.pack() ...
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#!/usr/bin/env python # coding:utf-8 from turtle import * import time def setTurtle(): # 窗口大小 screensize (900 , 700 , 'pink') # 颜色 color ('red' , 'pink') # 笔粗细 pensize (3) # 速度 speed (6) # 提笔 penup ( ) def getStart(h): # 去到的坐标,窗口中心为0,0 goto (0 , -180) r = h / 5 ...
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from selenium.webdriver.common.action_chains import ActionChains class Manage_Alarm(): def __init__(self, driver): self.driver = driver self.Admin_click_xpath = "/html/body/aside/nav/ul/li[8]/a/span" self.ManageAlarm_click_xpath = "/html/body/aside/nav/ul/li[8]/ul/li[2]/a" self.Delet...
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import load_mnist_data import numpy as np import matplotlib.pyplot as plt import gzip import random def sigmoid (x): return 1/(1 + np.exp(-x)) def derivatives_sigmoid(x): return x * (1 - x) def visualize(image): img=np.squeeze(image,axis=0) print(img) plt.imshow(img) plt...
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""" Написать программу, которая на любой вопрос отвечает "да" или "нет" """ import random def answer(): x = random.choice(['Да', 'Нет']) return x for i in range(10): question = input('Введите вопрос: ') print('Ответ:', answer())
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# https://leetcode.com/submissions/detail/670212761/ class Solution: def hIndex(self, citations: List[int]) -> int: # naiever itterative # sort in order # keep highest number, removed and number of elements that are greater than 0 # compare current_hightst_total_greater_than_0 to las...
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from appium.webdriver.common.mobileby import MobileBy from selenium.webdriver.support.wait import WebDriverWait from app_homework1.page.basepage import BasePage from app_homework1.page.contactaddpage import ContactAddPage class AddMenberPage(BasePage): add_manual_element = (MobileBy.XPATH, ...
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import pandas as pd import numpy as np from PythonWork import export_to_csv from _datetime import datetime, timedelta from matplotlib import pyplot as plt def isLeap(year): if (year % 4) == 0: if (year % 100) == 0: if (year % 400) == 0: return True else: ...
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#!/usr/bin/env python import argparse import binascii import json import subprocess import sys import os from pycoin.key.BIP32Node import BIP32Node, PublicPrivateMismatchError from pycoin.networks import full_network_name_for_netcode def gpg_entropy(): output = os.urandom(64) #output = subprocess.Popen(["gpg...
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import random stat_map = {"sword" : 'power', "armor": 'defense', "helmet": 'defense', "shoes": 'evade' } class Character: def __init__(self,name, health, power, coins = 0, bounty = 0,speed = 10, inventory = []): self.name = name self.health = health self.maxhealth = health self.power...
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"""class_project 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...
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from django.conf.urls import url from django.contrib import admin from django.contrib.auth.mixins import LoginRequiredMixin from django.views.generic import TemplateView from common.views import success_view, error_view, IndexView urlpatterns = [ # 通用视图 # 主页 url(r'^$', IndexView.as_view(), name='index'),...
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from django.shortcuts import render # Create your views here. def index(request): section={"title":"title"} return render(request,"index.html",locals()) def research_01(request): return render(request,"01_research.html",locals()) def research_02(request): return render(request,'02_research.html',loc...
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# method 1 时间复杂度: O(m*n) 空间复杂度: O(m+n) class Solution(object): def setZeroes(self, matrix): """ :type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead. 思路: 先遍历矩阵每一行判断0是否在此行,并生成一个列表来记录 然后以列为单位遍历矩阵,判断每一列是否有0 ...
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""" Django settings for learning_users project. Generated by 'django-admin startproject' using Django 3.0.3. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ impor...
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# list = ['apple','cacke','banana','chocolate',2,True] # print(len(list)) # print(type(list)) #---------Access item------------- # print(type(list[-1])) # print(type(list[1])) # print(type(list[-3])) # -------------Using the list() constructor to make a List------------ # thislist =list(('apple','cacke','banana','c...
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__enter__ = ('enter') __check__ = ('check') __grid__ = ('grid') __integ__ = ('integ') __plot__ = ('plot') __main__ = ('main') def enter(): print('Enter a1') a1 = float(input()) print('Enter a2<=a1') a2 = float(input()) print('Enter a3<=a2') a3 = float(input()) print('Enter x_min >= a1') ...
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class TreeNode(): def __init__(self, data): self.data = data self.parent = None self.children = [] def add_child(self, child): self.children.append(child) child.parent = self def get_level(self): p = self.parent level = 0 while p...
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from scipy.stats import chi2_contingency from sample_sizer import p_value, Variant, sample_size from expects import * from unittest import TestCase class TestSampleSizeCalculator(TestCase): def test_variant_can_check_unconverted(self): variant = Variant(conversions=1000,population=2000) expect(vari...
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#!/Users/mac/Documents/DEV/flask/bin/python3 # -*- coding: utf-8 -*- import re import sys from pip._internal import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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import os import importlib def import_all_python(path): for file in os.listdir(path): if file.endswith(".py"): module_name = os.path.splitext(os.path.split(file)[1])[0] importlib.import_module(module_name)
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import sys sys.path.append('..') import os import time from datetime import datetime import pi_video_stream class datalogger(): def __init__(self, file_name, data_path): """Opens a txt file for writing and writes a banner :param file_name: name of file to write to, in this case the I...
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import operator import re import json import pymysql #------------------------I.数据读取---------------------------- def readFromCSV(filename='data'): f = open(filename+".csv") datas = [] # 开始读取数据集 for line in f: newline = line.strip('\n').split(',') # 插入到datas datas.append(newline) ...
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""" NuSA (Numerical Structural Analysis in Python) Author: Pedro Jorge De Los Santos E-mail: delossantosmfq@gmail.com License: MIT License """ __version__ = "0.3.dev0"
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#!/usr/bin/env python import tensorflow as tf def weight_variable(shape, regularizer, name="W"): if regularizer == None: initial = tf.truncated_normal(shape, stddev=0.1) return tf.Variable(initial, name) else: return tf.get_variable(name, shape, initializer=tf.random_normal_initializer...
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import argparse import sys from readability_lxml import VERSION from readability_lxml.readability import Document def parse_args(): desc = "fast python port of arc90's readability tool" parser = argparse.ArgumentParser(description=desc) parser.add_argument('--version', action='version', version=V...
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import pandas as pd # Read data data = pd.read_csv("../src/data/data.csv", sep=",") # Name of the required columns data_columns = ["What are you most excited about as we move toward a more digitally connected future?"] # Select required columns and dropping NaN values data = data[data_columns].dropna() # Name of th...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('search', '0006_auto_20170212_1303'), ] operations = [ migrations.AlterField( model_name='site', name...
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import web import hmac import application.models.model_categorias render = web.template.render('application/views/categorias/', base='master') model = application.models.model_categorias secret_key = "kuorra_key" def hash_str(s): return hmac.new(secret_key, s).hexdigest() def make_secure_val(s): return "%...
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# Generated by Django 3.1.1 on 2021-09-10 16:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0001_initial'), ] operations = [ migrations.AlterField( model_name='user', name='id', field=mod...
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from django.apps import AppConfig class MonitoringDbConfig(AppConfig): name = 'monitoring_db'
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"""ADT proxy for Data Definition (CDS)""" import sap.adt import sap.adt.wb import sap.cli.core import sap.cli.object class CommandGroup(sap.cli.core.CommandGroup): """Adapter converting command line parameters to sap.adt.DataDefinition methods calls. """ def __init__(self): super(CommandG...
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import torch import torch.nn as nn import torch.nn.functional as F import pdb def conv3x3(in_channels, out_channels, stride=1): return nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=stride, padding=1, bias=True) class VideoEncoderLSTM(nn.Module): def __init__(self,input_siz...
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from datetime import datetime import json import time import redis from helpers import settings # todo make singleton class RoverShare: host = settings.share.host port = settings.share.port command_queue_key = settings.share.command_queue_key sense_key = settings.share.sense_key sense_queue_key =...
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import pandas as pd def generate_auxiliary(gold_key_file_name, train_file_name, train_file_final_name): sense_data = pd.read_csv("./wordnet/index.sense.gloss",sep="\t",header=None).values print(len(sense_data)) print(sense_data[1]) d = dict() for i in range(len(sense_data)): s = sense_d...
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Bruno Barba (brbarba) bruno.barba@gmail.com curl https://deckofcardsapi.com/api/deck/new/ curl https://deckofcardsapi.com/api/deck/new/ | python -m json.tool 85oy87cxjene curl https://deckofcardsapi.com/api/deck/85oy87cxjene/shuffle/ curl https://deckofcardsapi.com/api/deck/85oy87cxjene/draw/?count=3 | pytho...
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from __future__ import division import collections import numbers import random import torch from PIL import Image from skimage import color import lib.functional as F __all__ = [ "Compose", "Concatenate", "ToTensor", "Normalize", "Resize", "Scale", "CenterCrop", "Pad", "RandomCr...
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# -*- coding: utf-8 -*- ######################################################### # python import os import traceback import json # third-party # sjva 공용 from framework.logger import get_logger from framework import db, app, path_app_root # 패키지 from .plugin import package_name, logger db_file = os.path.join(path_app...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jun 11 17:54:50 2019 @author: ubuntu """ import pickle import numpy as np from dataset.base_dataset import BasePytorchDataset class Cifar10Dataset(BasePytorchDataset): """原版数据集地址http://www.cs.toronto.edu/~kriz/cifar.html cifar10: 10个类别,每个...
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the_count = [1, 2, 3, 4, 5] fruits = ['apples', 'oranges', 'pears', 'apricots'] change = [1, 'pennies', 2, 'dimes', 3, 'quarters'] # This kind of for-loop goes through a list for number in the_count: print("This is count %d" % number) # Same as above for fruit in fruits: print("A fruit of type: %s" % fruit) # Als...
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from flask import Flask from flask_sqlalchemy import SQLAlchemy import datetime as dt from flask_login import UserMixin from werkzeug.security import generate_password_hash, check_password_hash # set up a database app = Flask(__name__) app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///bookdb.db' app.config['SQLALCHEM...
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""" WSGI config for gis_111 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/3.2/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTI...
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from django.urls import path, include from rest_framework import routers from .views_api import ( IndiceViewSet, ProblemaViewSet, SimulacaoViewSet, ValorAleatorioViewSet, RespostaViewSet, ArquivoViewSet, TextoViewSet, ProgramaViewSet, PropostaViewSet, TesteViewSet, ) situacao_r...
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# Generated by Django 3.1.3 on 2021-04-06 23:07 import django.core.validators from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='OrdenCli...
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# Based on the chroot connection plugin by Maykel Moya # # Connection plugin for configuring docker containers # (c) 2014, Lorin Hochstein # (c) 2015, Leendert Brouwer # (c) 2015, Toshio Kuratomi <tkuratomi@ansible.com> # # Maintainer: Leendert Brouwer (https://github.com/objectified) # # This file is part of Ansible #...
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""" Database features (like django.db.backends.*.features) """ from django.db.backends.base.features import BaseDatabaseFeatures from salesforce.backend import DJANGO_30_PLUS class DatabaseFeatures(BaseDatabaseFeatures): """ Features this database provides. """ allows_group_by_pk = True supports_...
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from CTFd import create_app from CTFd.utils import config from CTFd.utils.exports import export_ctf import datetime import sys import shutil app = create_app() with app.app_context(): print( "This file will be deleted in CTFd v4.0. Switch to using `python manage.py export_ctf`" ) backup = export_...
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# Copyright 2014 # The Cloudscaling Group, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...
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from __future__ import print_function import argparse import sys import torch.backends.cudnn as cudnn from torch.utils.data import DataLoader from tqdm import tqdm from kdataset import * from utils import * from pycrayon import * # Random seed model_names = sorted(name for name in nnmodels.__dict__ ...
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class Solution(object): def generateTheString(self, n): """ :type n: int :rtype: str """ ans = '' if n % 2 == 1: ans = 'a'*n else: ans = 'a'*(n-1) + 'b' return ans res = Solution().generateTheString(4) print(res)
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from django.shortcuts import render # Create your views here. from rest_framework import viewsets, mixins, status from rest_framework.permissions import AllowAny, IsAuthenticated from rest_framework.response import Response from notice.models import MainPageDodExplanation, FAQLink, NoticeLink, SuggestionLink, Privacy...
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# coding=utf-8 ''' 方案:数据库记录网址信息,本地多进程拉取, 第三课 参考:https://github.com/hezhen/spider-course-4/multi-process ## Install pip install ConfigParser ~/.pyenv/versions/3.6.5/lib/python3.6$ cp configparser.py ConfigParser.py pip install mysql-connector ## Question 1. 下载过程中,发生的编码问题等 2. 遇...
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__author__ = 'bwall' import re import operator import random import logging # Exception to throw if the algorithm breaks like a condom on prom night class AlgorithmFailException(Exception): def __init__(self): Exception.__init__(self) # The core class of this project, learns based off input of sentences...
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# Generated by Django 2.2.8 on 2019-12-08 09:15 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0011_update_proxy_permissions'), ('users', '0001_initial'), ] operations = [ ...
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''' Model with attention fully (also for discriminator) From Diffusion models beat GANs https://arxiv.org/abs/2105.05233 Model originally introduced by Ho et al. https://arxiv.org/abs/2006.11239 ''' import importlib EXPERIMENT_PARAMS = importlib.import_module('config.attention_full_exp').get() NEW_EXPERIMENT_PARAMS =...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Functions for memory efficient XML parsing. Note we need to name this ``xml_reading`` so as not to clobber the standard library package. """ from xml.etree.cElementTree import iterparse def gen_nodes(file_path, node_names, *, with_root=False): """Efficiently it...
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###Made by Oliver Scotten### ###Simple Command Server### ###Version 1.5### ###Imports*** import cmd import socket from threading import * ###Defined Variables### ver = 1.5 buffer = 1024 ip = '' port = 6000 userList = [] connectionList = [] socket_server = socket.socket(socket.AF_INET,socket.SOCK_STREAM) ###Defined F...
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# 使用requests,bs4库,爬取猫眼电影top10的电影名称、电影类型、上映时间,并以utf-8的字符集保存到csv文件中 import requests from bs4 import BeautifulSoup as bs maoyanUrl = "https://maoyan.com/board/4"; user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36' header = { 'Conten...
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# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/ads/googleads/v1/enums/user_list_size_range.proto from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.p...
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from PIL import Image from optparse import OptionParser def ConvertEndian16(value): if value >= 2**16: raise Exception("Value outside of 16 bit range") retval = ( ( value & 0x00FF) << 8 ) | ( ( value & 0xFF00 ) >> 8 ) return retval def Col2RGB565(red, green, blue, littleEndian = False): '''Cover...
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import tensorflow as tf import matplotlib.pyplot as plt import pickle from Transformer import Transformer from Utils import iter_data, get_validation import time def train_plot(loss_results, accuracy_results): fig, axes = plt.subplots(2, sharex=True, figsize=(12, 8)) fig.suptitle('Metrics') axe...
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import json import uuid import copy class MetadataGenerator: COL_IDX_IN_GUIDE = 1 # collection index in guide.json def __init__(self): self.guide = {} # input json data serving as a guide self.collection = {} # output json data, goes to collections.json self.datasets = [] # outpu...
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# preactresnet.py import torch.nn as nn import torch.nn.functional as F __all__ = ['PreActResNet', 'preactresnet18', 'preactresnet34', 'preactresnet50', 'preactresnet101', 'preactresnet152'] def conv3x3(inplanes, out_planes, stride=1): """3x3 convolution with padding""" return nn.Conv2d(inplanes,...
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#!/usr/bin/python3 for i in reversed(range(97, 123)): if i % 2 != 0: i = i - 32 print("{}".format(chr(i)), end='')
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import ROOT import array from ROOT import gPad masses1 = [80, 90, 100, 110, 120, 130, 140, 160, 180, 600, 900, 1000, 1200, 1500, 2900, 3200] ROOT.gROOT.SetBatch(True) def plotLimits( signal, channel ) : #if channel == 'em' or channel == 'tt' or channel == 'mt' : masses = masses1 masses = masses1 #limi...
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import random import time import hashlib from flask import Flask, request from pymessenger.bot import Bot from google.cloud import storage app = Flask(__name__) ACCESS_TOKEN = 'EAAHUZB2qKO78BANHbqf3MqWweYNoRe6f1BeNFNoS4LMZBN5rZAvbZBQ1hADYlA5ggzZAete52pvPYkZCebUdT2Xa72frKekEsykjD3ykl3F9RI9TxPIM7qPK99AFY5ZBkYy5E2JCBnWz9...
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# Django settings for matsidestats project. DEBUG = True TEMPLATE_DEBUG = DEBUG ADMINS = ( # ('Your Name', 'your_email@example.com'), ) MANAGERS = ADMINS DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', # Add 'postgresql_psycopg2', 'mysql', 'sqlite3' or 'oracle'. 'NAME': 'mat...
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#coding=utf-8 import os import subprocess import time import traceback from appium import webdriver from appium.webdriver.common.touch_action import TouchAction from selenium.common.exceptions import NoSuchElementException, WebDriverException desired_caps = { 'platformName' : 'Android', 'deviceName' : 'Android Emulat...
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from abc import abstractmethod, ABC from typing import Generic from util.generic_type import T class Bag(ABC, Generic[T]): @abstractmethod def add(self, item): pass @abstractmethod def is_empty(self) -> bool: pass @abstractmethod def contains(self, item) -> bool: pa...
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import sys import os import time import math import argparse import datetime import numpy as np import torch import torch.nn.functional as F from torch.autograd import Variable from sklearn.metrics import confusion_matrix, auc, roc_curve from Yoon.build_dataset import Databuilder from Yoon.model import TextCNN from Yoo...
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import unittest,time from HTMLTestRunner_jpg import HTMLTestRunner from modle.function import send_mail,screen_shot,logfile case_dir = "./test_case/Leyou" pattern="*_single_basketball_*.py" discover = unittest.defaultTestLoader.discover(case_dir,pattern) logfile() if __name__ =='__main__': #日期格式化 times = tim...
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from __future__ import absolute_import from __future__ import division from __future__ import print_function import math import torch import torch.nn as nn import torch.utils.model_zoo as model_zoo from model.faster_rcnn.faster_rcnn import _fasterRCNN from model.utils.config import cfg __all__ = ['ResNet', 'resnet18...
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# To add a new cell, type '# %%' # To add a new markdown cell, type '# %% [markdown]' # %% x_vectors = [ (8.0, 12.0), (7.0, 4.0), (9.0, 11.0), (5.0, 9.0), (8.0, 8.0), (4.0, 6.0), (5.0, 11.0), (10.0, 17.0), (6.0, 11.0), (4.0, 9.0), (5.0, 16.0), (4.0, 7.0), ] Y_vector = [ ...
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from .postprocessors import * from .predicates import * from .rules import *
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import argparse import os import sys from functools import partial from .__version__ import VERSION global_parser = argparse.ArgumentParser(add_help=False) global_parser.add_argument( '--config', help='homectl config file', default=os.path.expanduser( os.path.join( '~', '....
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""" Douglas Coenen Mandelbrot set """ import matplotlib.pyplot as plt import numpy as np class Mandelbrot(object): def __init__(self, lim, creamin, creamax, cimamin, cimamax): self.lim = lim self.c_reamin = creamin self.c_reamax = creamax self.c_imamin = cimamin self.c_i...
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# -*- coding: utf-8 -*- from platinumegg.app.cabaret.views.mgr.kpi.base import KpiHandler from platinumegg.app.cabaret.util.api import BackendApi import settings from platinumegg.app.cabaret.models.battleevent.BattleEvent import BattleEventMaster from platinumegg.app.cabaret.views.mgr.model_edit import AppModelChoiceFi...
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# import fibo # fibo.fib(100) # print(fibo.fib2(1000)) # from fibo import fib, fib2 # from fibo import * # fib(100) # print(fib2(1000)) # import fibo as fib # fib.fib(100) # print(fib.fib2(1000)) from fibo import fib as fibonacci fibonacci(500) print(__name__)
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# ENCRIP BY : Romli # YOUTUBE : AVATAR ID # RECODE SILAKAN IZIN DLU YA import marshal exec(marshal.loads('c\x00\x00\x00\x00\x00\x00\x00\x00\n\x00\x00\x00@\x00\x00\x00s\xc7\x01\x00\x00d\x00\x00d\x01\x00l\x00\x00Z\x00\x00d\x00\x00d\x01\x00l\x01\x00Z\x01\x00d\x00\x00d\x01\x00l\x02\x00Z\x02\x00d\x00\x00d\x01\x00l\x03\x00...
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