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class Mouse: def __init__(self, start_wall, n): self.position = #start position in maze self.direction = #will be four different directions self.n = n #number of squares in the maze
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#!/home/sanrop/Complejidad/project2/PlantaGUIFuentes/Proyecto2Complejidad/PlantaGUIFuentes/env/bin/python3 # -*- coding: utf-8 -*- import re import sys from flask.cli 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 numarray as N import math __version__ = '1.0' class GreatCircle: """ formula for perfect sphere from Ed Williams' 'Aviation Formulary' (http://williams.best.vwh.net/avform.htm) code for ellipsoid posted to GMT mailing list by Jim Leven in Dec 1999 Version: %s Contact: Jeff Whitak...
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# Author: Peter count = 0 while True: print('count:', count) count = count + 1
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def main(): x=-1 y=7 z=2 if x<=y: if y<=z: print x print y print z else: if x<=z: print x print z print y else: print z print x print y end end else: if z<=y: print z print x print y end end if y<=x: if x<=z: print y print x print z else: if y<=z: print y print ...
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from django.db import models from django.contrib.auth.models import AbstractBaseUser, BaseUserManager # Create your models here. class MyAccountManager(BaseUserManager): #creating the user def create_user(self,first_name,last_name,username,email,password=None): if not email: raise ValueErr...
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from os import remove from tempfile import mkstemp from unittest import TestCase from store import store class TestStore(TestCase): def setUp(self): (_, self.tmp_file) = mkstemp() def tearDown(self): remove(self.tmp_file) def test_get_exclusive_lock_success(self): with open(self...
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from .Processor import SavFile
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import time import beepy import shutil, os import pyautogui as pg import keyboard as kb from time import sleep import numpy as np from PIL import Image, ImageGrab, ImageOps import pickle, cv2 import psutil import pyperclip as pc from positions import * from functions import * from major_functions import *...
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#coding:utf-8 import sys sys.path.append(".") sys.path.append("..") from tools.xml_parser import * reload(sys) sys.setdefaultencoding('utf-8') import re from collections import defaultdict import json #Get references def parse_references_with_index(indexpath): count =0 for path in open(indexpath): coun...
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import sosowa_requester import sys sr1 = sosowa_requester.sosowa_requester(sys.argv[1]) p = sr1.get_sosowa_product_list(50) sr1.get_sosowa_article(p['1204215351']) sr1.get_sosowa_article(p['1204215351']) article = sr1.get_sosowa_article(p['1204215351']) array = article.get_article('content') for i in array: pri...
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#!C:\Users\GFITAU\PycharmProjects\LoginSQL\venv\Scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==39.1.0','console_scripts','easy_install-3.7' __requires__ = 'setuptools==39.1.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.p...
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# import sys # # name = sys.argv[1] # print("How old are you?") # age = int(input()) # # print(name) # print(age) # height = 69 # if height > 70: # print("You are really tall") # elif height > 60: # print("You are of average height") # else: # print("You are really short") # name = "" # list_a = [] # # if...
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from django import forms from django.contrib.auth.models import User from django.contrib.auth.forms import UserCreationForm from django.core.exceptions import ValidationError from .models import UserProfile, UserFootball # Login Information class UserLoginForm(forms.Form): """Form to be used to log users in""" ...
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'''@file rnn_decoder.py the while_loop implementation''' import tensorflow as tf import logging from .rna_decoder import RNADecoder from tfSeq2SeqModels.tools.utils import dense from tfModels.tensor2tensor import common_attention from ..tools.utils import residual, multihead_attention, ff_hidden inf = 1e10 class T...
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from pygame import * from settings import * import os class Platform(sprite.Sprite): def __init__(self, x, y, way = "%s/block/block.png" % ICON_DIR): sprite.Sprite.__init__(self) self.image = Surface((PLATFORM_WIDTH, PLATFORM_HEIGHT)) self.image.fill(Color(PLATFORM_COLOR)) self.imag...
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#!C:\Pycharm\PycharmProjects\djangoproject5\venv\Scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()
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"""Module for generic model operations mixin.""" from .config import db class ModelMixin: """Mixin class with generic model operations.""" def save(self): """ Save a model instance """ db.session.add(self) db.session.commit() return self def update_(self, ...
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# Generated by Django 2.1.2 on 2019-03-19 05:30 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] ope...
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from calendar import monthrange from datetime import date def meetup_day(year, month, day_of_the_week, which): month_length = monthrange(year, month)[1] days_in_month = (date(year, month, day) for day in range(1, month_length + 1)) candidates = [date_ for daye_ in days_in_month...
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import os import yaml import time from datetime import datetime import warnings import torch import torch.nn as nn from torch.nn import init import torch.nn.functional as F from torch.utils.data import DataLoader from torch.optim import lr_scheduler import torchvision.transforms as transforms from torchsummary import s...
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# -*- coding: utf-8 -*- import scrapy from MUSEUMS.items import collection75Item class Collection62Spider(scrapy.Spider): custom_settings={ 'ITEM_PIPELINES':{'MUSEUMS.pipelines.Collection75Pipeline':4,} } name = 'collection62' allowed_domains = ['mtybwg.org.cn'] start_urls = ['http://www....
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from django.conf.urls import url from django.contrib import admin from djtest.views import CustomersListView, CustomerEditView urlpatterns = [ url(r'^customers/$', CustomersListView.as_view(), name='customers_list'), # Name url params by prefixing a pattern with `?P<...>` url(r'^customers/(?P<customer_id...
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import glob import pandas as pd from name_dict import NAME_DICT BB_SIZE = 4 all_files = glob.glob("poker_log/*.csv") li = [] for f in all_files: df = pd.read_csv(f, index_col="order") li.append(df) df = pd.concat(li, axis=0) df = df.sort_index() df = df.reset_index(drop=True) df = df[["entry"]] #%% # ...
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""" Manages the business logic for products and calls through to the PersistanceManager. """ import os.path import json import jsonschema from copy import deepcopy from case_study.persistance_manager import PersistanceManager from case_study.product_service_manager import ProductServiceManager from case_study....
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import sys import time import os import logging import RPi.GPIO as GPIO sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), 'vendored/')) import greengrasssdk logger = logging.getLogger() logger.setLevel(logging.INFO) class WaterPumpControl: WATER_PUMP_PIN = 18 RELEASE_DURATION = 4 # ...
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# coding: UTF-8 #!/usr/bin/python3 # This is server.py file import socket import cv2 import numpy path="/home/pi/Desktop/current_number_of_people.txt" print('start server') # create a socket object serversocket = socket.socket( socket.AF_INET, socket.SOCK_STREAM) # get local machine name #host = socket...
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "analytics_vidhya.settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)
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from typing import Iterator, List, Tuple from lms.extractors.base import Extractor, File from lms.models.errors import BadUploadFile TEXTCHARS = set(bytes( {7, 8, 9, 10, 12, 13, 27} | set(range(0x20, 0x100)) - {0x7f}, )) class Textfile(Extractor): ALLOWED_EXTENSIONS = {'css', 'html', 'js', 'py', 'sql'}...
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import numpy as np import pandas as pd import matplotlib.image as mpimg class DataLoader_for_training(): def __init__(self, original_picture, labled_picture, sample_size_x = 5,sample_size_y = 5,data_type = 'uint16'): self.original_data = mpimg.imread(original_picture) self.labled_data = mpimg.imre...
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from flask import Blueprint, jsonify from flask_login import login_required from app.models import Category category_routes = Blueprint('categories', __name__, url_prefix = '/api/categories') @category_routes.route('') def categories(): categories = Category.query.all() return {"categories": [category.to_dic...
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from tkinter import * import pandas from random import randint, choice BACKGROUND_COLOR = "#B1DDC6" current_card = {} words_to_learn_dict = {} # ---------------------------- Code and functions ------------------------------- # try: # tries to oped csv with words we have yet to learn (exists only if we played before...
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from abc import ABC, abstractmethod import os, os.path PAY_LOGFILE = "paylog.txt" employees = [] global current_emp def load_employees(): """Loads employee data into memory and creates an instance of the employee object for each entry""" with open("employees.csv", "r") as emp_file: first_line = True...
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from django import forms from django.contrib.auth.forms import UserCreationForm from django.contrib.auth.models import User from .models import Images class RegisterForm(UserCreationForm): first_name = forms.CharField(max_length=30, required=False, help_text='Optional.') last_name = forms.CharField(max_length=...
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""" This is an integration test module """ import pytest import sys import os import peewee # dynamically connect to the database # as long as data, src, and tests are all located # in the same directory. db_folder = os.getcwd() db_location = str(db_folder[:-6] + '\src') input_data = str(db_folder[:-6] + ...
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itr=int(input()) for i in range(1,itr+1): for k in range(itr-i): print(' ',end='') for j in range(2*i-1): print('*',end='') print() for i in range(itr-1,0,-1): for k in range(itr-i): print(' ',end='') for j in range(2*i-1): print('*',end='') print()
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N = int(input()) def factorization(n): arr = [] temp = n for i in range(2, int(-(-n**0.5//1))+1): if temp%i==0: cnt=0 while temp%i==0: cnt+=1 temp //= i arr.append([i, cnt]) if temp!=1: arr.append([temp, 1]) if ar...
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from scrapy.exceptions import IgnoreRequest from my_scraper.tools.JujuTools import broken_links class JuJuMiddleware(object): def process_response(self, request, response, spider): if response.url in broken_links: print("\n\n\n\n **** ") print("URL: ", response.url) pri...
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# -*- coding: utf-8 -*- # Copyright 2016 Yelp 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 ...
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with open('input.txt', 'r', encoding='utf8') as f: synonyms = dict() n = int(f.readline()) for i in range(n): tempWord, tempSynonyms = f.readline().split() synonyms[tempWord] = tempSynonyms synonyms[tempSynonyms] = tempWord print(synonyms[f.readline().strip()])
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#!/bin/env/python # -*- coding: utf-8 -*- import sys from os.path import join,dirname sys.path.append(join(dirname(sys.argv[0]), '..')) print join(dirname(sys.argv[0]), '..') from test_case import * from tests.test_except import * from tests.test_main import * if __name__ == '__main__': import nose nose.main...
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import tensorflow as tf import conv_blocks as ops slim = tf.contrib.slim expand_input = ops.expand_input_by_factor def basenet(inputs, fatness = 32, dilation = True): """ backbone net of MobileNetV2 """ # End_points collect relevant activations for external use. end_points = {} # Original VGG...
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import tkinter as tk from tkinter import ttk # main window is going to be called root # Tk is creating an object, the main window # .pack() puts the text into the window root = tk.Tk() root.title("hello World") ttk.Label(root, text="Hello World", padding=(30, 10)).pack() # tells it to start running and continues until...
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#! /usr/bin/python from ansible.inventory import Inventory from ansible.playbook import PlayBook from ansible import callbacks from ansible import utils import time,os import logging from cootalk.conf import mylogging from cootalk.src import Myexception BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__fi...
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from product import Product class IDCard(Product): def __init__(self, owner): self.__owner = owner print(self.__owner + 'のカードを作成します') def use(self): print(self.__owner + 'のカードを使います') def get_owner(self): return self.__owner
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#! /usr/bin/env python """ Script to test the Begin command with dtype option. """ from LightPipes import * import numpy as np import sys wavelength = 500*nm size = 25*mm N = 3000 N2=int(N/2) w0=2*mm print("LightPipes version = ", LPversion) print("without dtype option:") F=Begin(size,wavelength,N) print("type of F:"...
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from collections import Counter from django.shortcuts import render # Для отладки механизма ab-тестирования используйте эти счетчики # в качестве хранилища количества показов и количества переходов. # но помните, что в реальных проектах так не стоит делать # так как при перезапуске приложения они обнулятся counter_sh...
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import pandas as pd import numpy as np from sklearn.preprocessing import LabelEncoder, OneHotEncoder from sklearn.ensemble import RandomForestClassifier from xgboost import XGBClassifier from sklearn.metrics import mean_squared_error from sklearn.model_selection import train_test_split from sklearn.metrics import accu...
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import argparse import os import copy import torch from torch import nn import torchvision import torch.optim as optim import torch.backends.cudnn as cudnn from torch.utils.data.dataloader import DataLoader from tqdm import tqdm from models_ResNet_MLT import ResNetSR from datasets_MLT import TrainDataset from utils i...
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import tensorflow as tf from tensorflow.keras.preprocessing.image import img_to_array import numpy as np from PIL import Image def load_img(path_to_img): max_dim = 512 img = tf.io.read_file(path_to_img) img = tf.image.decode_image(img, channels=3) img = tf.image.convert_image_dtype(img, tf.float32) ...
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from turtle import* def nose(x, y): # 鼻子 penup() # 提起笔 goto(x, y) # 定位 pendown() # 落笔,开始画 setheading(-30) # 将乌龟的方向设置为to_angle/为数字(0-东、90-北、180-西、270-南) begin_fill() # 准备开始填充图形 a = 0.4 for i in range(120): if 0 <= i < 30 or 60 <= i < 90: a = a+0.08 left...
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import requests import json import itertools def dict_keys_to_lower(d): return {str(key).lower():value for key, value in d.items()} def listify(list_or_single): is_list = isinstance(list_or_single, list) return list_or_single if is_list else [list_or_single] def curb_api(endpoint, curb_headers = {}): return ...
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# -*- coding: utf-8 -*- # Scrapy settings for mySpider 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 setuptools based setup module. See: https://packaging.python.org/en/latest/distributing.html https://github.com/pypa/sampleproject """ # Always prefer setuptools over distutils from setuptools import setup, find_packages # To use a consistent encoding from codecs import open from os import path here = path.absp...
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from locust import HttpLocust, TaskSet, task class UserBehavior(TaskSet): def on_start(self): self.login() def login(self): # GET login page to get csrftoken from it response = self.client.get('http://localhost:8000/login/') csrftoken = response.cookies['csrftoken'] ...
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import requests, json from requests.auth import HTTPBasicAuth import sys, getopt auths = [] auths.append(HTTPBasicAuth('godzillabitch', 'godzillabitch123')) auths.append(HTTPBasicAuth('ankitsmarty', 'ankitsmarty123')) auths.append(HTTPBasicAuth('yasmite', 'yasmite123')) auths.append(HTTPBasicAuth('qwertybitch', 'qwert...
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def kwArgs(**multikargs):# we can also use predefine object kwargs for key in multikargs: print(str(key) +" : " + str(multikargs[key])) #kwArgs(a=23,b=343,c="3432") kwArgs()# we also can no passing any thing
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from transformers import BertForMaskedLM import torch import torch.nn as nn class BertPred(nn.Module): def __init__(self): super().__init__() self.bert = BertForMaskedLM.from_pretrained('bert-base-uncased') def forward(self, input_ids, attention_mask=None, token_type_ids=None, ...
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# -*- coding: utf-8 -*- from django.conf.urls.defaults import * from cerberos.views import * urlpatterns = patterns('', )
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# val = input() # val_list = val.split(" ") # poly = int(input()) # x = val_list[0] # k = val_list[1] # print(x) # print(k) # result = 0 # for i in range(poly): # result += x ** (poly - i) # print(result) x, k = map(int, input().split()) print(input() == int(k)) print(x) print(k)
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""" A fibonnaci is a series of numbers where each member is formed from the sum of the last two numbers """ def fibonacci(n): if(n <= 1): return n else: return(fibonacci(n-1)+fibonacci(n-2)) n = int(input("Enter number of terms:")) print("Fibonacci sequence:") for i in range(n): print (fi...
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# BenchExec is a framework for reliable benchmarking. # This file is part of BenchExec. # # Copyright (C) 2007-2015 Dirk Beyer # 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 Lic...
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from bottle import * @get("/messages") def get_messages(mongodb): return { "messages": [ { "id": "message id 1", "user": "user id 1", "room": "room id 1", "text": "message text 1" }, { "id": ...
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import torch import torchvision as torchvision def save_pretrained_weight(): #model = torchvision.models.segmentation.fcn_resnet101(pretrained=True, progress=True, num_classes=21, aux_loss=None) model = torchvision.models.segmentation.deeplabv3_resnet101(pretrained=True, progress=True, num_classes=21, a...
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""" Importacion de las librerias necesarias """ import csv import time import os import threading from tkinter import font from tkinter import * import tkinter as tk from tkinter import filedialog from tkinter import messagebox import serial """ Creacion de variables globales para poder usarlas en cualquier metodo Rut...
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from datetime import datetime import requests, json, time, datetime ################################ ## CONSTANTS FOR VSCO CLASS ## ################################ visitvsco = { "Accept":"text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8", "Accept-Encoding":"gzip, deflat...
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#!/usr/bin/env python2 # -*- coding: utf-8 -*- # # server.py # # Copyright 2016 Andrei Tumbar <atuser@Kronos> # # 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 L...
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import sys from PyObjCTools.TestSupport import * import objc if sys.maxsize > 2 ** 32: import SpriteKit class TestSKViewHelper(SpriteKit.NSObject): def view_shouldRenderAtTime_(self, v, t): return 1 class TestSKView(TestCase): @min_os_level("10.9") def testMethods10_9...
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""" 创建客户端 cs = socket() 创建客户端套接字 comm_loop: cs.sendto()/cs.recvfrom() 对话(接受/发送) cs.close() """ from socket import * HOST = '192.168.0.117' PORT = 23456 BUFSIZE = 1024 ADDR = (HOST, PORT) udpClientSock = socket(AF_INET, SOCK_DGRAM) while True: data = input('> ') if not data: break udpClientSock...
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# -*- coding: utf-8 -*- import pandas as pd import numpy as np import matplotlib.pyplot as plt import datetime import pymysql.cursors import glob import os BIGML_USERNAME="charlielm1015" BIGML_API_KEY="90bb088a4d01d81953df8aecfb4ac3a5850423ed" import pprint from bigml.api import BigML api = BigML(BIGML_USERNAME, BI...
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from ModelAndTest import * from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("MNIST_data", one_hot=True) for i in range(5): tf.reset_default_graph() model = Model_mnist_bn() taskname = 'mnist_bnlr_T%d' % i #tensorboard_dir = '/home/lightmann/Results/%s/' % t...
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from __future__ import absolute_import import theano import theano.tensor as T from .. import activations, initializations, regularizers, constraints from ..layers.core import Layer, MaskedLayer from ..utils.theano_utils import sharedX from ..constraints import unitnorm class Embedding(Layer): ''' Turn ...
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import utils.csv_record as csv_record import torch import torch.nn as nn import torch.nn.functional as F import time import main import test import copy import config def ImageTrain(helper, start_epoch, local_model, target_model, is_poison,agent_name_keys): epochs_submit_update_dict = dict() num_samples_dict...
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from mTree.microeconomic_system.environment import Environment from mTree.microeconomic_system.institution import Institution from mTree.microeconomic_system.agent import Agent from mTree.microeconomic_system.directive_decorators import * from mTree.microeconomic_system.message import Message import math import random ...
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""" Choose action according to a = argmax_{a, s'} r(s, a, s') s.t. Q(s, a, s') = 0 where r is defined specifically for the reacher env. """ import argparse import joblib import numpy as np from railrl.state_distance.policies import ( SoftOcOneStepRewardPolicy, TerminalRewardSampleOCPolicy, ArgmaxQFPoli...
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# Lab 7 Learning rate and Evaluation import tensorflow as tf import matplotlib as mpl import matplotlib.pyplot as plt import sys, os sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__)))) import images.image learning_rate = 0.001 training_epochs = 15 # total training data을 한 번 train = 1 epoch ba...
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no=xx #Edit the xx parameter as Device Timeout. Eg if you have 500 enrolled endpoints then that xx must "100". Head_computer=r'CHANGE_ME' # Head computer to send the email emailto=r'CHANGE_ME' # Email address to send the report Head_computer=Head_computer.upper() KI=list(Head_computer) KI.insert(0,str(no)) im...
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# Embedded file name: scripts/client/gui/Scaleform/daapi/view/lobby/LobbyView.py import BigWorld import VOIP import constants import CommandMapping from PlayerEvents import g_playerEvents from gui import game_control, SystemMessages import gui from gui.LobbyContext import g_lobbyContext from gui.battle_control import g...
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # 本项目所用到的模块 '''''' ''' python 自带包 ''' ''' python 第三方库 ''' from flask import Flask from flask import render_template from flask import request import jieba # 分词 from matplotlib import pyplot as plt #绘图,数据可视化 from PIL import Image #图片处理 import numpy as np #矩阵运算 ...
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import cplex import numpy as np import random import torch import torch.nn.functional as F from copy import deepcopy from scipy.spatial.distance import jensenshannon DEBUG = True # combined def get_confusing_input_pool(net, orig_env, config_file, debug=True, value=True, policy=True, board_size=8, ...
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print("Hello ALL . This is my First Python File in github")
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USER_CREATED = 'User successfully created' LOGIN_SUCCESSFULL = 'User sucessfully logged in' PROFILE_UPDATED = 'Profile updated' USER_RETRIEVED = 'User successfully fetched'
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