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from __future__ import absolute_import, division, print_function import six import numpy as np def fit_quad_to_peak(x, y): """ Fits a quadratic to the data points handed in to the from y = b[0](x-b[1])**2 + b[2] and R2 (measure of goodness of fit) Parameters ---------- x : ndarray ...
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# myTeam.py # --------- # Licensing Information: Please do not distribute or publish solutions to this # project. You are free to use and extend these projects for educational # purposes. The Pacman AI projects were developed at UC Berkeley, primarily by # John DeNero (denero@cs.berkeley.edu) and Dan Klein (klein@cs.be...
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import enum import os, sys import math import re def startup_code(): current_working_directory = __file__.rsplit( '/', 1 )[0] with open( current_working_directory + '/D5_Input.txt', 'r' ) as file: input_list = file.read().splitlines() return list( input_list ) ''' Binary search off of a coded ...
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from event_interface import EventInterface from event_feature import EventFeature from photo_interface import PhotoInterface from photo import Photo from region import Region from event import Event from caption_parser import CaptionParser from stopwords import Stopwords from corpus import Corpus from _kl_divergence im...
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from RPi import GPIO # GPIO initialisieren GPIO.setmode(GPIO.BOARD) GPIO.setup(37, GPIO.OUT) while True: print("an oder aus?") state = input() if state == "an": # Spannungspotential aufbauen (verbunden mit +3,3V) => Strom fliessen lassen GPIO.output(37, False) else: GPIO.output(37, True)...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.1 on 2017-06-01 14:58 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('app01', '0009_auto_20170601_2256'), ] operations = [ migrations.Remov...
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# -*- coding: utf-8 -*- # transmission around a 90-degree waveguide bend in 2d from __future__ import division import meep as mp import numpy as np import matplotlib.pyplot as plt resolution = 10 # pixels/um sx = 16 # size of cell in X direction sy = 32 # size of cell in Y direction cell = mp.Vector3(sx, sy, 0) ...
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""" CP1404/CP5632 Practical State names in a dictionary File needs reformatting """ STATE_NAMES = {"QLD": "Queensland", "NSW": "New South Wales", "NT": "Northern Territory", "WA": "Western Australia", "ACT": "Australian Capital Territory", "VIC": "Victoria", "TAS": "Tasmania"} # print(STATE_NAMES) # fo...
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# python 3 import sys [a, b] = map(int, sys.stdin.readline().split()) c = a + b print(c)
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# createBinaryImages.py from cs5png import * def testBinaryImage(): """ run this function to create an 8x8 alien image named binary.png """ ALIEN = "0"*8 + "11011011"*2 + "0"*8 + "00001000" + \ "01000010" + "01111110" + "0"*8 # this function is imported from cs5png.py NUM_ROW...
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from flectra import models, fields, api from pprint import pprint class wizard_report_calon_siswa(models.TransientModel): _name = 'siswa_psb_ocb11.wizard_report_calon_siswa' name = fields.Char('Name', default='0') tahunajaran_id = fields.Many2one('siswa_ocb11.tahunajaran', string="Tahun Ajaran", default=l...
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# Generated by Django 3.2.6 on 2021-09-04 01:20 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('job', '0004_alter_job_description'), ] operations = [ migrations.RenameField( model_name='job', old_name='location', ...
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import math def isPrime(n): if n < 2: return 0 for i in range(2, n): if(n % i == 0): return 0 return 1 test = int(input()) while(test): test -= 1 line = input() list = line.split(" ") number1 = int(list[0]) num2 = int(list[1]) tmp = math.gcd(number1, num2...
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from turtle import Turtle MOVE_DISTANCE = 20 STARTING_POSITIONS = [(0, 0), (-20, 0), (-40, 0)] UP = 90 LEFT = 180 DOWN = 270 RIGHT = 0 class Snake: def __init__(self): self.segments = [] self.create_snake() self.head = self.segments[0] def create_snake(self): for position in ...
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############################################################################################################################################################################################################# ##################################################################################################################...
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from django.db import models from django.core.urlresolvers import reverse class Article(models.Model): title = models.CharField(max_length=100) content = models.CharField(max_length=1000) def get_absolute_url(self): return reverse('article_detail', kwargs={'pk': self.pk}) def __str__(self): ...
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""" Contains a function that executes the steps of learning a model. """ import os import logging import json import data_utils as du import model_utils as mu import plot_utils as pu import matplotlib.pyplot as plt DEFAULT_RATIO_FIGURE_MNIST = (3, 3) # (6, 3) DEFAULT_RATIO_FIGURE_IMAGENET = (3, 3) def run_exp(ba...
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""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 3.0.2. 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/ """ import os # ...
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print(""" ======================================= ___ _ _ | _ \| |__ _ __ ___ __ _| | _____ _ __ | |_) | '_ \| '__/ _ \/ _` | |/ / _ \ '__| | __/| | | | | | __/ (_| | < __/ | |_| |_| |_|_| \___|\__,_|_|\_\___|_| ======================================= """) import thread import reques...
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import pyttsx3 import speech_recognition as sr import datetime import wikipedia import webbrowser import pyaudio import os import smtplib import subprocess engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') print(voices[1].id) engine.setProperty('voice', voices[1].id) def speak(a...
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import collections import threading import time import typing from hydrus.core import HydrusConstants as HC from hydrus.core import HydrusData from hydrus.core import HydrusExceptions from hydrus.core import HydrusGlobals as HG from hydrus.core import HydrusLists from hydrus.core import HydrusSerialisable from hydrus....
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# problem: https://www.hackerrank.com/challenges/picking-numbers/problem # !/bin/python3 import math import os import random import re import sys # # Complete the 'pickingNumbers' function below. # # The function is expected to return an INTEGER. # The function accepts INTEGER_ARRAY a as parameter. # def pickingNu...
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""" 01_find_kth_node ~~~~~~~~~~~~~~ 题目描述:求链表中倒数第 k 个节点。 当我们用一个指针遍历链表不能解决问题时,就可以尝试使用两个指针。 可以让其中一个指针遍历的快一点(如一次走两步),或者让它先在 链表上走若干步,直到走到结尾。 比如,求一个链表的中间节点,就可以使用两个指针,前指针一次走两步, 后指针一次走一步,当前指针走到头之后,后指针就所在的位置就是中间 节点。 :copyright: (c) 2017 by 0xE8551CCB. :license: MIT, see LICENSE...
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# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------...
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# -*- coding: utf-8 -*- ''' Exodus Add-on Copyright (C) 2016 Exodus 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 3 of the License, or (at your option) any l...
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class VerboseObj: def __str__(self): sb = [] for key in self.__dict__: sb.append("{key}='{value}'".format(key=key, value=self.__dict__[key])) return '{' + ', '.join(sb) + '}' def __repr__(self): return self.__str__() c...
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# This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.8 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info if version_info >= (3, 0, 0): new_instancemethod = lambda func, inst, cls: _ITKI...
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def solve(N, A): ret = 0 for idx in range(N): ret += A[idx] // 2 A[idx] %= 2 if A[idx] and idx + 1 < N and A[idx + 1]: ret += 1 A[idx + 1] -= 1 return ret if __name__ == "__main__": N = int(input()) A = [0 for _ in range(N)] for idx in range(N): ...
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""" 10-3 사용자 정의 예외처리 https://youtu.be/kWiCuklohdY?t=18065 """ class BigNumberError(Exception): def __init__(self, msg): self.msg = msg def __str__(self): return self.msg try: print("한 자리 숫자 나누기 전용 계산기입니다.") num1 = int(input("첫 번째 숫자를 입력하세요 : ")) num2 = int(input("두 번째 숫자를 입력하세요 : "...
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# -*- coding: utf-8 -*- """ flask.ext.split ~~~~~~~~~~~~~~~ A/B testing for your Flask application. :copyright: (c) 2012-2015 by Janne Vanhala. :license: MIT, see LICENSE for more details. """ from .core import ab_test, finished from .views import split __all__ = (ab_test, finished, split) tr...
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#-- coding: utf-8 -- __author__ = 'gimdongjin' import oauth2 as oauth import string import random from bottle import request, run, route, jinja2_template, post, get, hook import bottle from beaker.middleware import SessionMiddleware import urlparse import tweepy from pymongo import MongoClient from json import dumps...
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import sys from os import path from PyQt4 import QtGui import design from modEditor import * from modCreator import create_mod from softwareModClasses import * import qdarkstyle from Categories import Categories from genericThread import * from threads import * class MainWindow(QtGui.QMainWindow, design....
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num_1 = input("Enter the first number pls") num_2 = input("Enter the second number pls") product = float(num_1) * float(num_2) print("Product of {} and {} is {}".format(num_1, num_2,product))
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# -*- coding: utf-8 -*- # # umn_hackathon documentation build configuration file, created by # sphinx-quickstart. # # 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. # # All configuration values ...
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from typing import Dict, Iterable, Optional, Tuple, Union from abc import ABC, abstractmethod import torch from catalyst.core.callback import Callback, CallbackNode, CallbackOrder from catalyst.core.runner import IRunner from catalyst.metrics import ICallbackBatchMetric, ICallbackLoaderMetric, IMetric class IMetric...
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from flask import Flask,render_template,request import requests app = Flask(__name__) base_url="https://api.github.com/users/" @app.route("/",methods = ["GET","POST"]) def home(): if request.method =="POST": githubname = request.form.get("githubname") responce = requests.get(base_url + githubname)...
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from cw10.randomqueue import * import unittest class TestRandomQueue(unittest.TestCase): def setUp(self): self.randomqueue = RandomQueue() def test_is_empty(self): self.assertEqual(RandomQueue.is_empty(self.randomqueue), True) def test_is_full(self): self.assertEqual(RandomQueue....
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import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm from matplotlib.ticker import LinearLocator, FormatStrFormatter my_files = ["fes_124_{}.dat".format(i) for i in range(70, 79)] def extract_1d_file_data(f_path): x_data=[] y_data=[] with open...
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# Generated by Django 2.2.5 on 2021-12-07 17:45 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUT...
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""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 2.0.13. For more information on this file, see https://docs.djangoproject.com/en/2.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.0/ref/settings/ """ import os #...
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from __future__ import print_function import os import sys import json import codecs import logging import argparse import fileinput from twarc.client import Twarc from twarc.json2csv import csv, get_headings, get_row if sys.version_info[:2] <= (2, 7): # Python 2 get_input = raw_input str_type = unicode ...
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import os import sys import pandas as pd import psycopg2 def connection_config(owner): return { 'host' : '127.0.0.1', 'port' : '5432', 'database' : owner, 'user' : owner, 'password' : owner } def read_by_sql(sql, owner): connect...
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from django.urls import path from apps.profesores.views import add_profesores, edit_profesores, delete_profesores, lista_profesores, ProfesoresList, DetalleProfesor, DeleteProfesor urlpatterns = [ path('profesor/crear/', add_profesores, name='add_profesores'), path('profesor/<int:pk>/editar/', edit_profesores...
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import pandas as pd import numpy as np from Matriz_esferica import Matriz_esferica from Individuo import Individuo import random class Simulador(): def __init__( self, tamanho_matriz, #numero de linhas e colunas da matriz esférica densidade_populacional_inicial, #percentual...
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""" Django settings for bookAuthorsProj project. Generated by 'django-admin startproject' using Django 2.2. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import...
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import unittest # Importing the unittest module from credentials import Credentials # Importing the credentials class from user import User import csv, os Class TestCredentials(unittest.TestCase): ''' def setUp(self): ''' Setup up method to run before each test cases. ''' self.test_user_credential = ...
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#!/usr/bin/env python #coding=utf-8 # # Author: Archer Reilly # Date: 12/Aug/2014 # File: TeamTechStatisticsParser12.py # Description: parser for 12 season soccer data on QQ sports # Website: http://csrgxtu.blog.com # # Produced By CSRGXTU from Parser import Parser class TeamTechStatisticsParser12(Parser): def __...
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import turtle turtle.speed(1) n = 12 angle = -360/n for i in range(n): turtle.rt(angle) turtle.fd(100) turtle.stamp() turtle.rt(180) turtle.fd(100) turtle.rt(180) turtle.done() # сделано
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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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''' Use a Seq object for a single sequence like a string. ----------------------------------------------------------- (c) 2013 Allegra Via and Kristian Rother Licensed under the conditions of the Python License This code appears in section 19.3.1 of the book "Managing Biological Data with Python". ------...
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"""Test wikipedia module.""" from unittest.mock import Mock import click import pytest from python_test import wikipedia def test_random_page_uses_given_language(mock_requests_get: Mock) -> None: """It uses the given language.""" wikipedia.random_page(language="de") args, _ = mock_requests_get.call_arg...
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""" 尝试使用强化学习求解一维横场ising模型的基态能 H = -J * sigma_z^i sigma_z^{i+1} - h * sigma_x^i 的基态能 """ import os os.chdir('./test') import numpy as np import pandas as pd import time np.random.seed(2) L = 10 # The length of chain CHANNEL = 2 ACTIONS = ['up', 'down'] MAX_EPISODES = 130 FRESH_TIME = 0.3 ITER = 0 class TFI_1d:...
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""" Defines the TextBoxOverlay class. """ # Enthought library imports from enable.api import ColorTrait, AbstractOverlay, Label, black_color_trait from kiva.trait_defs.kiva_font_trait import KivaFont from traits.api import Any, Enum, Int, Str, Float, Trait # Local, relative imports class TextBoxOverlay(AbstractOverla...
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# Generated by Django 2.2 on 2020-10-24 05:58 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Category', fields=[ ...
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# -*- coding:gb18030-*- import numpy import math R = 6371.004 def count_dist(latA, lonA, latB, lonB): C = math.sin(latA)*math.sin(latB)+math.cos(lonA)*math.cos(lonB)*math.cos(lonA-lonB) Distance = R * numpy.arccos(C) * math.pi / 180 return Distance if __name__ == '__main__': dist = count_dist(31.5472...
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# This advanced example demonstrates how to upload existing Phi matrix back into BigARTM. # There are several gotchas that you need to be aware about: # 1. You should learn the difference between pwt-requests and nwt-requests. # This is explained in the comments further below. # 2. ArtmOverwriteTopicModel only sched...
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import torch import torch.nn as nn from tcn import TemporalConvNet from transformers import BertModel, AutoModel import torch.nn.functional as F class BertOnly(nn.Module): def __init__(self, opt): super(BertOnly, self).__init__() self.bert = BertModel.from_pretrained('bert-base-chinese') se...
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from math import floor from os import listdir from pygame import mixer # Smaller than default buffer size increases timing accuracy mixer.init(buffer=1024) bpm = 120 # 2 beats per second tick = 32 # 32 ticks per second tick_duration = 1 / tick beat_duration = 60 / bpm ticks_per_beat = beat_duration / tick_durati...
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# -*- coding: UTF-8 -*- # File: __init__.py if False: from .model_desc import * from .training import * from .distributed import * from .predict import * from .utils import * from pkgutil import iter_modules import os import os.path __all__ = [] def global_import(name): p = __import__(name...
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"""src 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-b...
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# a very basic class would look something like this: class MyClass: variable = "blah" def function(self): print("This is a message inside the class.") # to assign the above class(template) to an object you would do the following: myobjectx = MyClass() # now the variable "myobjectx" contains the obje...
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import matplotlib.pyplot as plt import numpy as np from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier from sklearn.metrics import classification_report from sklearn.model_selection import train_test_split from predictive_analytics_with_ensembled_learning.random_extremely_random_forest.utilities ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Dec 27 15:23:07 2019 @author: student """ import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib as mpl from statsmodels.tsa.arima_model import ARIMA plt.style.use('fivethirtyeight') df=pd.read_csv("/home/student/D...
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year = int(input("Enter Year: ")) if year % 4 == 0 and year % 100 != 0: print(year, "is a Leap Year") elif year % 100 == 0: print(year, "is not a Leap Year") elif year % 400 ==0: print(year, "is a Leap Year") else: print(year, "is not a Leap Year")
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from sudoku import Board from nose.tools import assert_raises from nose.tools import assert_equals # Test Board # Taken from puzzle generator online def test_is_valid_start_board_valid(): input_array = [ [0, 0, 0, 0, 9, 0, 0, 5, 2], [0, 1, 0, 0, 0, 0, 3, 0, 4], ...
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# -*- coding: utf-8 -*- # @Time : 2019/12/11 22:07 # @Author : 7FGroup # @name : Jmeter启动脚本 # @File : startJmeter.py import os, sys def jmeterNumber(caseName, num_threads, ramp_time, duration, remark, hostIps='127.0.0.1'): ''' :param caseName: 脚本名字 :param num_threads: 线程数 :param ramp_time: 控...
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from application import db from application.auth.models import User from application.models import Drink import json from flask import g from flask import abort, request, jsonify from . import bp from flask_httpauth import HTTPBasicAuth auth = HTTPBasicAuth() # AUTH # ----------------------------------------------...
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# client.py # Client code for playing the game, organized by an initial # startup process, and then splitting off into two threads. # # The DisplayThread class handles displaying the current iteration # of the board to the user, while the FishThread handles accepting # user input for control over the...
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# Generated by Django 2.2.10 on 2021-02-15 13:47 import django.contrib.auth.models import django.contrib.auth.validators from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0011_update_proxy_permissio...
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''' Our Task Is To Create A Python Program That Spam Message On A Text Messanger ''' import pyautogui,time time.sleep(5) f = open("data.txt",'r') for word in f: pyautogui.tywriter(word) pyautogui.press("enter")
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#!/usr/bin/env python3 import argparse import random class Crypto(object): ACTIONS = [ 'enc', # encrypt 'dec', # decrypt ] ALGORITHMS = [ 'sub', # substitution 'per', # permutation 'sca', # scaling ] FIRST_CHAR = ' ' LAST_CHAR = '~' def __ini...
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####################################################################################### ### Module: EikonDatabase ### Date: 5 Jan 2020 ### Features: - Fetch Stock Price, Outstanding Stocks Info from Thomson Reuters Eikon ### - Support Corporate Action Records ### - Minimize Eikon API call to Si...
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""" 288. Unique Word Abbreviation An abbreviation of a word follows the form <first letter><number><last letter>. Below are some examples of word abbreviations: a) it --> it (no abbreviation) 1 b) d|o|g --> d1g 1 1 1 1---5----0----5--8 c) i|nterna...
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# Compare Algorithms from pandas import read_csv from sklearn.model_selection import KFold from sklearn.model_selection import cross_val_score from sklearn.linear_model import LogisticRegression from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis from sklearn.neighbors im...
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# -*- coding: utf-8 -*- # # Copyright 2017 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 requir...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon May 18 17:10:18 2020 @author: victorhuynh """ from time import time from sklearn.linear_model import LinearRegression from simulationdebase import schelling def cout_n_iter () : P = Paramètre(50,80,1/2) x=[] #Contiendra les différentes valeu...
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import argparse import cv2 import matplotlib.pyplot as plt import numpy as np from binary_thresholding import GetThresholdedBinary, GetSobelBinary, GetMagnitudeBinary, GetDirectionBinary, GetChannelBinary from lane_tracking import TLaneTracker from lens_correction import TLensCorrector from perspective_transform impor...
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import tensorflow as tf from data import sents2id from data import pad_sequence from data import id2label import pickle def demo_one(args): print("Please input your Chinese sentence:") sentence = input() vocab_file = args.vocab_file model_path = args.model_path with open(vocab_file, "rb") as vocab_f: ...
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#!D:\0101010101\PythonLearnning\test\venv\Scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3.7' __requires__ = 'pip==19.0.3' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]...
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from kubi_ecs_logger import Logger, Severity from .runnable_service import RunnableService from redirectory.libs_int.service import NamespaceManager from redirectory.libs_int.hyperscan import HsManager class ManagementService(RunnableService): def run(self): # Load hyperscan database because of test in ...
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# -------------------------------------------------------- # Tensorflow VCL # Licensed under The MIT License [see LICENSE for details] # Written by Zhi Hou # -------------------------------------------------------- from __future__ import absolute_import from __future__ import division from __future__ import print_func...
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# Importing Libraries from cnn_model import cnn from inception_model import inception_model import tensorflow as tf #Turning off warnings tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR) import matplotlib.pyplot as plt from eda import model_performance # Doing Image Augmentation to prevent overfitting ...
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# automatically generated by the FlatBuffers compiler, do not modify # namespace: FlatData import flatbuffers from flatbuffers.compat import import_numpy np = import_numpy() class ScenarioScriptGroup1Excel(object): __slots__ = ['_tab'] @classmethod def GetRootAs(cls, buf, offset=0): n = flatbuff...
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print('foo', 'bar', 'baz', sep=', ') # # foo, bar, baz( lst = [ 'one', 'two', 'three' ] print(*lst, sep=' - ') # # one - two - three
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#!/Users/nicholasevans/DevProjects/Python_Projects/Flaskr/venv/bin/python # -*- coding: utf-8 -*- import re import sys from setuptools.command.easy_install import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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import pandas as pd from numpy import set_printoptions from sklearn.feature_selection import SelectKBest from sklearn.feature_selection import chi2 import warnings warnings.filterwarnings("ignore") filename = 'indians-diabetes.data.csv' hnames = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi...
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rupeshparab/techscan
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"""Implementation of basic magic functions.""" import argparse import textwrap import io import sys from pprint import pformat from IPython.core import magic_arguments, page from IPython.core.error import UsageError from IPython.core.magic import Magics, magics_class, line_magic, magic_escapes from IPython.utils.tex...
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#coding:utf-8 import time import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data import mnist_lenet5_forward import mnist_lenet5_backward import numpy as np TEST_INTERVAL_SECS = 5 def test(mnist): with tf.Graph().as_default() as g: x = tf.placeholder(tf.float32, [ m...
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x = input('Insira algo ') print('Todos caracteres são números ?', x.isnumeric()) print('-------------------------------') x1 = input('Insira algo ') print('Todos os caracteres são alfanuméricos ?', x1.isalnum()) print('-------------------------------') x2 = input('Insira algo ') print('Todos os caracteres são do al...
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/utils.py
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import re, os from glob import glob import config as con from sklearn.utils import shuffle import numpy as np from sklearn.preprocessing import LabelEncoder, OneHotEncoder la_enc = LabelEncoder() c_int = la_enc.fit_transform(sorted(os.listdir(con.dataset_path))) oh_enc = OneHotEncoder(sparse=False) oh_enc.fit(np.array...
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import keras modelPath = "Models\\MNIST_Model\\model" batch_size = 128 # количество обучающих образцов, обрабатываемых одновременно за одну итерацию алгоритма градиентного спуска; num_epochs = 1 # количество итераций обучающего алгоритма по всему обучающему множеству; hidden_size = 512 # количество нейронов в каждом ...
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