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__license__ = 'MIT License <http://www.opensource.org/licenses/mit-license.php>' __author__ = 'Lucas Theis <lucas@theis.io>' __docformat__ = 'epytext' from scipy.special import erf, erfinv from scipy.stats import norm from scipy.optimize import bisect from numpy import mean, sqrt, asarray, max, min, any from transform...
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from application import app from flask import render_template, flash, redirect, url_for, request from application.forms import LoginForm from Api.sql_fonctions import sql_read, sql_insert @app.route('/') @app.route('/index') def index(): toi = LoginForm().username.data if toi is None: toi = 'inconnu' ...
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from django.test import TestCase, Client from django.urls import reverse from datetime import datetime class TestViews(TestCase): def setUp(self): self.client = Client() self.task_url = reverse('api') self.add_task_url = reverse('add-task') self.done_task_url = reverse('done-task'...
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#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'untitled.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise Impor...
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""" env_multi.py Environment where a single genome gets evaluated over multiple games. This environment will be called in a process. """ import sys from config import Config from environment.entities.game import get_game from population.population import Population from utils.dictionary import D_DONE, D_SENSOR_LIST ...
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from astropy.wcs import wcs from scipy import signal import matplotlib.pyplot as plt from astropy.io import fits import numpy as np from scipy.ndimage import gaussian_filter from frastro import PSFexUtil, ImageUtils, FITSFile from frastro.core.data.photometry.photometry_util import PhotometryUtil from photutils import...
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#!/use/bin/env python3 import os import glob import math import string from itertools import islice from nltk.tokenize import sent_tokenize from nltk.stem.porter import PorterStemmer from nltk.corpus import XMLCorpusReader # file containing length and terms information of each patent document # generated in indexing...
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#!/usr/bin/python # Copyright (C) Vladimir Prus 2005. # Distributed under the Boost Software License, Version 1.0. (See # accompanying file LICENSE_1_0.txt or copy at # http://www.boost.org/LICENSE_1_0.txt) # Tests that we can declare a rule in Jamroot that will be can be called in # child Jamfile to declare ...
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# Memory Puzzle # By Al Sweigart al@inventwithpython.com # http://inventwithpython.com/pygame # Released under a "Simplified BSD" license import random import pygame import sys from pygame.locals import * FPS = 30 # frames per second, the general speed of the program WINDOWWIDTH = 640 # size of window's width in pixe...
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from flask import request, jsonify,Blueprint, abort from flask.views import MethodView from RPi import GPIO from time import sleep servosRoute = Blueprint('servosRoute', __name__) from main import app @servosRoute.route('/abrirPersiana1', methods=['GET']) def abrirPersiana1(): #GPIO PIN = 12 cant = 1 ...
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import tkinter as tk from tkinter import * from tkinter import ttk from tkinter import messagebox class GUI(): def __init__(self,title): self.title = title self.window =Tk() self.inputVar = StringVar() self.outputVar = StringVar() self.window.geometry('600x350') self.window.title(self.title) self.inpu...
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import urllib import os import numpy as np import tensorflow as tf import cv2 import time import sys class YOLO_TF: disp_console = True weights_file = 'models/weights/YOLO_small.ckpt' alpha = 0.1 threshold = 0.2 iou_threshold = 0.5 num_class = 20 num_box = 2 grid_size = 7 classes = ["aeroplane", "bicycle", "...
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class Chain(object): def __init__(self, path='GET '): self._path = path def __getattr__(self, path): return Chain('%s/%s' % (self._path, path)) def __call__(self,path): return Chain('%s/%s' % (self._path, path)) def __str__(self): return self._path __repr__ = __s...
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# Python bytecode 2.7 (decompiled from Python 2.7) # Embedded file name: e:\jenkins\workspace\client_SERENITY\branches\release\SERENITY\packages\videoplayer\__init__.py from _videoplayer import *
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import nltk import pickle import re import numpy as np import csv nltk.download('stopwords') from nltk.corpus import stopwords # Paths for all resources for the bot. RESOURCE_PATH = { 'INTENT_RECOGNIZER': 'intent_recognizer.pkl', 'TAG_CLASSIFIER': 'tag_classifier.pkl', 'TFIDF_VECTORIZER': 'tfidf_vectorize...
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"""ok is an autograder that you can use to run tests, back up your work, and submit assignments. You can run all tests with python3 ok There are several "options" you can give ok to modify its behavior. These options generally have both a short form (preceded by a single dash, like -q) or a long form (preceded b...
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#\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\# from copy import deepcopy from Gaudi.Configuration import * from GaudiConfUtils.ConfigurableGenerators import CombineParticles from PhysSelPython.Wrappers import Selection from Beauty2Charm_LoKiCuts import LoKiCuts from Beauty2Charm_Utils ...
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n=int(input("enter a number")) s=0 a=n r=0 while(n!=0): r=n%10 s=s*10+r n=int(n/10) if(a==s): print("the number is a palindrome") else: print ("the number is not a palindrome")
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from django.contrib import admin from post.models import Post, Like class PostAdmin(admin.ModelAdmin): prepopulated_fields = {"slug": ("title",)} admin.site.register(Post, PostAdmin) admin.site.register(Like)
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rows = open("urls.txt").read().strip().split("\n") rows1 = open("urls1.txt").read().strip().split("\n") total = 0 print("urls",len(rows)) print("urls",len(rows1)) l = [] # loop the URLs for url in rows1: if url not in rows: l.append(url) print(len(l)) #with open('new_urls.txt', 'w') as f: # for item in l...
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# -*- coding: utf-8 -*- """ Created on Sun Jun 30 17:46:36 2019 @author: Edgar Alberto Cañón """ import pandas as pd import numpy as np import seaborn as sns import matplotlib as plt from scipy.stats import mode from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomFores...
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import pytest, requests, json from .PyCast3 import get_data def test_get_data(): with pytest.raises(requests.exceptions.ConnectionError): get_data('https://foo.bar') with pytest.raises(SystemExit): get_data('http://www.google.com/barfoo') assert isinstance(get_data('http://jsonip.com/'), d...
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import numpy as np import matplotlib.pyplot as plt original_stress = np.load('og_stress.npy') original_stress = original_stress[0:701,0] #stress_loaded = np.load('stress_array.npy') stress_loaded = np.loadtxt('active_stress.csv',delimiter=',') stress = stress_loaded[:,0] #ca = np.load('calcium.npy') #ca = ca[:,0] #tim...
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riddle = ''' {0} and {1} sat in the tree. {0} had fallen, {1} was stolen. What's remaining in the tree? ''' print(riddle.format(input(), input()))
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from __future__ import absolute_import, division, print_function import tensorflow as tf def create_dataset(tfrecord_path, num_label, preprocess_fn, batch_size=32, num_epoch=1, train_image_size=224, shuffle_buffer=100, is_training=True, cifar10_mode=False): if cifar10_mode:...
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#!/usr/bin/env python # -*- encoding: utf-8 -*- # Copyright 2011-2020, Nigel Small # # 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 # # Unle...
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#!/usr/bin/env python3 import os import re import sys import json import glob import logging import argparse from typing import List pwd = os.getcwd() os.chdir(os.path.abspath(os.path.dirname(sys.argv[0]))) from parameters import * from utils import set_or_increase_version from generate_data import ( get_or_update...
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import pulumi import pulumi_azure as azure def logan(rg_name,rg_location): example_analytics_workspace = azure.operationalinsights.AnalyticsWorkspace("logworkspace", location=rg_location, resource_group_name=rg_name, sku="PerGB2018", retention_in_days=30) return example_analytic...
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# -*- coding: utf-8 -*- """ @Time : 2020/11/21 16:05 @Auth : kuiju_wang @File :utils.py.py @IDE :PyCharm """ import tensorflow as tf import os import cv2 import numpy as np from tensorflow.keras.losses import MSE from skimage.filters import gaussian import random from config import * def batch_ssim_psnr_sum(batch_tu...
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#!/usr/bin/env python import glob import optparse import os import re import stat import sys """ A simple tool, similar to the ls command, which provides the biggest missing feature: prefixing of listed files with their relative or canonical path """ PATHS_NONE = 0 PATHS_ABSOLUTE = 1 PATHS_CANONICAL = 2 cla...
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#https://stackoverflow.com/questions/699866/python-int-to-binary?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa """a=int(input('enter a number')) print(a) a=bin(a) print(a)""" b=int(input('enter another')) x=format(b,'b')#not working print(x) x=int(x) g=x sum=0 while(x!=0)...
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "kalmia.settings") try: from django.core.management import execute_from_command_line except ImportError: # The above import may fail for some other reason. Ensure that the ...
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x = 1 caracter = input('digite um caracter: ') caracter1 = caracter degrau = int(input ('digite a quantidade de degraus desejada: ')) while x <= degrau: print(caracter1) caracter1 = caracter1 + caracter x += 1
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import pickle from file_operation import write_results if __name__=="__main__": f = open("input/bm25_all.pickle", "rb") bm25_dict = pickle.load(f) f.close() bm25_top100_test_dict = {} for i in range(2, 51, 2): temp_bm25_dict = bm25_dict[str(i)] sorted_bm25 = list(dict(sorted(temp_b...
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from typing import List from azure.storage.blob.aio import BlobClient, BlobServiceClient from fastapi import APIRouter import os from dotenv import load_dotenv BASE_DIR = os.path.abspath(os.path.dirname(__file__)) load_dotenv(dotenv_path=os.path.join(BASE_DIR, ".env")) router = APIRouter( prefix = "/api", ta...
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from constructions import * def init(env): A = env.add_free(263.0, 116.0, hidden = True) B = env.add_free(488.5, 335.0, hidden = True) C = env.add_free(140.0, 335.0, hidden = True) X = env.add_free(280.0, 181.5, hidden = True) l1 = env.add_line(A,B) l2 = env.add_line(A,C) l3 = env.add_line(...
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mirek@olsak.net
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import csv from Sastrawi.Stemmer.StemmerFactory import StemmerFactory from Sastrawi.StopWordRemover.StopWordRemoverFactory import StopWordRemoverFactory, StopWordRemover, ArrayDictionary # create stemmer factory = StemmerFactory() stemmer = factory.create_stemmer() factory = StopWordRemoverFactory() stopwords = facto...
[ "ridho.adep@gmail.com" ]
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from __future__ import print_function from absl import app from absl import flags import numpy as np from erdos.data_stream import DataStream from erdos.message import Message import erdos.graph from erdos.op import Op from erdos.timestamp import Timestamp from erdos.utils import frequency FLAGS = flags.FLAGS flags....
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from __future__ import print_function from speechsyn import hyperparams from speechsyn.hyperparams import hyperparams as hp import tqdm from speechsyn.data_load import load_from_lines, load_vocab import tensorflow as tf from speechsyn.train import Graph from speechsyn.utils import spectrogram2wav, plot_test_alignment f...
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# coding: utf-8 import numpy as np import power_demand4 as pod4 import matplotlib.pyplot as plt import math import random from sklearn.metrics import roc_curve ''' 本代码文件是利用误差数据来进行分类的,属于LSTM+Bayes的Bayes预测部分 1.根据之前power_demand4得到的误差数据集,连接训练集和测试集误差数据集。 2.再将纯误差数据和误差数据的标签合并,同时将训练的正常车辆数据集和测试的异常车辆数据集合并。 3.为了使得模型更加健壮,因此需要打乱数...
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from django.shortcuts import render # Create your views here. def home(request): return render(request,'s.html',{'name':'bhavana'})
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harish@Harishs-MacBook-Air.local
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h,w=map(int, input().split()) w1=['.'*(w+2)] s=w1+['.'+input()+'.' for _ in range(h)]+w1 for i in range(1,h+1): for j in range(1,w+1): if s[i][j]=='.': t=s[i-1][j-1:j+2]+s[i][j-1:j+2]+s[i+1][j-1:j+2] s[i]=s[i][:j]+str(t.count('#'))+s[i][j+1:] print(s[i][1:-1])
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#!/usr/bin/env python import sqlite3 as lite from common.entities import WirelessClient, Vendor from canari.maltego.message import UIMessage from canari.framework import configure #, superuser __author__ = 'catalyst256' __copyright__ = 'Copyright 2013, Watcher Project' __credits__ = [] __license__ = 'GPL' __version__...
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# -*- coding: utf-8 -*- import requests import json from mimiron.exceptions.vendor import InvalidDockerHubCredentials from mimiron.exceptions.vendor import DockerConnectionError class DockerHubAuthentication(object): def __init__(self, username, password, org, generate_token=True): self.username = userna...
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from __future__ import print_function import os, sys from google.cloud import language from google.cloud.language import enums from google.cloud.language import types import json def google_eval(dialog, sentence_level=False): """Evaluate emotion with ibm Waston Args: dialog: a list of conversation (...
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# sklearn.svm: Support Vector Machines # svm.SVC(*[, C, kernel, degree, gamma, …]) # C-Support Vector Classification. from __future__ import print_function, division from builtins import range from sklearn.svm import SVC from util import getKaggleMNIST from datetime import datetime # get the data: https://www.kaggle...
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#!/usr/local/bin/python3 import os, sys, math from PIL import Image, ImageOps from pycv.constants import * from pycv.point_ops import PointGen2D class RasterObj(object): def __init__(self): self.ptgen = PointGen2D() self.debug_msg = False self.res_x = None self.res_y = ...
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no1=int(input("enter number one:")) no2=int(input("enter number two:")) try: res=no1/no2 print(res) except: print("division is not possible for this number") try: res=no1+no2 print(res) except: print("addition is not possible") finally: print("thank you") print("visit again")
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# Copyright 2014-2017 Bert Carremans # Author: Bert Carremans <bertcarremans.be> # # License: BSD 3 clause import os import random from shutil import copyfile def img_train_test_split(img_source_dir, train_size): """ Randomly splits images over a train and test folder, while preserving the folder structure ...
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from utils import profile_required, hp_profile_required, tnc_required, goal_required from datetime import datetime, time, timedelta, date from django.shortcuts import render_to_response from django.template import RequestContext from django.http import HttpResponse, HttpResponseRedirect, HttpResponseForbidden fr...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.FileItem import FileItem from alipay.aop.api.constant.ParamConstants import * from alipay.aop.api.domain.KoubeiCateringPosPaymodeModifyModel import KoubeiCateringPosPaymodeModifyModel class KoubeiCateringPosPaymodeModifyRequest(object): ...
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#from __future__ import unicode_literals from django.shortcuts import render # Create your views here. def kegiatan_kegiatan_ATA(request): return render(request, 'rumah/kegiatan_kegiatan_ATA.html', {})
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# -*- coding: utf-8 -*- from fields import * from utils import * class CcField(object): """ Class defining abstract field. Based on Field.hs """ def __init__(self, fieldFunction, geoObject, geoEvent): """ Define appropriate parameters for construction of the concrete object """ # ...
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import numpy as np import json import sys sys.path.append("..") import base64 def base64_encode_image(a): # base64 encode the input NumPy array return base64.b64encode(a).decode("utf-8") def base64_decode_image(a, dtype, shape): # if this is Python 3, we need the extra step of encoding the # serial...
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at =float(input(" ")) y = float(input(" ")) mo = input("+-*/") if mo == "+": print(at+y) elif mo == "-": print(at-y) elif mo == "*": print(at*y) elif mo == "/": print(at/y)
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import json import os def read_json(filename): with open(filename) as data_file: data = json.load(data_file) return data def write_json(data, filename): folder = os.path.dirname(filename) if len(folder) > 0 and not os.path.isdir(folder): os.makedirs(folder) with open(filename, ...
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def firstArg(): print("\tPlease choose environment to push to:\n") print("\t1 - Production") print("\t2 - QA") return getFirstResponse() def secondArg(): print("\tEnter full path to file\n") return getSecondResponse() def getFirstResponse(): try: env = int(raw...
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#!/usr/local/bin/python """CGI test 2 - basic use of cgi module.""" import cgitb; cgitb.enable() import cgi def main(): form = cgi.FieldStorage() print "Content-type: text/html" print if not form: print "<h1>No Form Keys</h1>" else: print "<h1>Form Keys</h1>" for key in f...
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[]
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# Faça uma função que retorne a quantidade de # espaços presentes em uma string. from functools import reduce x = 'Universidade Catolica de Santos' espaco = list(filter(lambda s: s==' ', x)) #filter(funcao, sequencia) #Retorna lista que pode ser de tamanho diferente da #sequencia original. Retorna na ve...
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import collections from pyqtgraph.Qt import QtGui, QtCore import numpy as np import time import pyqtgraph as pg import matplotlib.pyplot as plt import FileWriter import datetime from matplotlib.backends.backend_pdf import PdfPages class Grapher: #Displays the past 8640 samples. #8640 samples represents 24 hour...
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from rnn_layers import * import theano import numpy as np class RNNEncoderDecoder(object): """ A RNN Encoder-Decoder Framework """ class StochasticRNN(object): """ RNN that can encode arbitrarily long sequence (thousands of time steps) (best for QA, Paragraph chunking tasks) """
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# 反转从位置 m 到 n 的链表。请使用一趟扫描完成反转。 # # 说明: # 1 ≤ m ≤ n ≤ 链表长度。 # # 示例: # # 输入: 1->2->3->4->5->NULL, m = 2, n = 4 # 输出: 1->4->3->2->5->NULL # 思路: class ListNode: def __init__(self, x): self.val = x self.next = None class Solution: # 反转以 head 为起点的 n 个节点,返回新的头节点 def reverseN(self,head,n): ...
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# Generated by Django 3.1.7 on 2021-10-14 12:12 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Register', fields=[ ('id', ...
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import Qubit import Plaquette class SquareLattice1: def __init__(self, size): """ Initialisation of LxL periodic toric code lattice. Notes: * The dimension L of the LxL lattice must be even. * The lattice has alternating parity/colour plaquettes. Chessboard-like...
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''' SMT Tools ''' from utils import * from math import log, exp from collections import defaultdict from sys import stdout # # functions # def train_model1(corpus, iterations, verbose=False) : ''' EM training function according to IBM Model 1 returns the translation probabilit...
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#way to get temperature on windows but: # nothing works on my ms4 import ctypes import ctypes.wintypes as wintypes from ctypes import windll def othermethod(): import wmi w = wmi.WMI() print(dir(w)) print(w.Win32_TemperatureProbe()) #print(w.Win32_TemperatureProbe()[0].CurrentReading) # not filled ...
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#!/usr/bin/env python import argparse import os import sys import distutils.dir_util import datetime import warnings def get_env_var_path(var_name, default_path_from_home): path = os.environ.get(var_name) if path is None: home_dir = os.environ.get("HOME") if home_dir is not None: pa...
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# -*- coding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Management Solution # Copyright (C) 2004-2009 Tiny SPRL (<http://tiny.be>). # # This program is free software: you can redistribute it and/or modify # it under the terms of ...
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import h5py import numpy as np import astropy.io.fits as fits import mechanize import pandas as pd from io import StringIO import astropy.units as U import astropy.constants as C from astropy import cosmology as apcy #url = 'http://skyserver.sdss.org/dr12/en/tools/search/sql.aspx' url = 'http://cas.sdss.org/dr7/en/...
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n=int(input("ENTER THE LENGTH")) a=[] for i in range(0,n): a.append(int(input())) nums={} t=int(input("ENTER THE Target")) for num in a: if t-num in nums: print([t-num,num]) else: nums[num]=True
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# -*- python -*- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we a...
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import cgi,subprocess import cgi import cgitb import os import time import webbrowser cgitb.enable() print("Content-type:text/html") print("") web=cgi.FieldStorage() data=web.getvalue('install') print("Jupyter is installing and running") subprocess.getoutput('sudo pip3 install jupyter') os.system("jupyter-notebook...
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list_a=[0,1,2,3,4,5] print("#리스트의 요소 하나 제거하기") #제거 방법[1]-del del list_a[1] print("del list_a[1]:", list_a) #제거 방법[2]-pop() list_a.pop(2) print("pop(2):",list_a)
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# -*-coding:utf-8 -*- from django.http import Http404 from django.core.urlresolvers import RegexURLPattern, get_callable __all__ = [ 'discover_view', 'ViewByMethod' 'RegexUrlPatternByMethod', 'route', ] def discover_view(view, prefix=''): if isinstance(view, basestring): if not view: ...
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# -*- Mode: Python -*- # # This is the configuration file for 'speedy_notifier'. GOOGLE_BATCH_SIZE=50 GOOGLE_MAX_REQUESTS_PER_SECOND=1 GOOGLE_INITIAL_BACKOFF=1 GOOGLE_MAX_BACKOFF=60 GOOGLE_API_KEY="AIzaSyDlHRufS28XTavwzHFjj6eSlPeiT3dgN9k" APPLE_BATCH_SIZE=100 APPLE_MAX_REQUESTS_PER_SECOND=1 APPLE_INITIAL_BACKOFF=1 AP...
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import subprocess import sys import signal import time import os import pprint import json from contextlib import contextmanager from subprocess import Popen, PIPE, STDOUT from os import path from time import sleep # default port for the server port = "12345" # default IP for the server ip = "127.0.0.1" # default ...
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# -*- coding: utf-8 -*- # @Time : 2017-9-22 15:18 # @Author : zhangqi # @File : maze.py # @Software: PyCharm Community Edition # 迷宫ADT from myarray2d import Array2D from Class_LStack import LStack class Maze(object): MAZE_WALL = "*" # 墙 PATH_TOKEN = "x" # 表示走过的路径 TRIED_TOKEN = "o" # 死路 def __init__(...
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# Remove All Adjacent Duplicates In String # Given a string S of lowercase letters, a duplicate removal consists of choosing two adjacent and equal letters, and # removing them. # We repeatedly make duplicate removals on S until we no longer can. Return the final string after all such duplicate # removals have been ma...
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class Board(object): __size = 10 def __init__(self, nome): self.nome = nome self.__tabuleiro = [] self.__defineBoard() def __defineBoard(self): for n in range(self.__size): self.__tabuleiro.append(['_'] * self.__size) def printBoard(self): for rows ...
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import string, os, sys, subprocess, shutil, time from glob import glob import numpy as np import nibabel as nib from dipy.segment.mask import median_otsu from dipy.denoise.nlmeans import nlmeans from dipy.denoise.noise_estimate import estimate_sigma from dipy.io import read_bvals_bvecs from dipy.io.bvectxt import reo...
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from six import string_types as _string_types from ...models.neural_network import NeuralNetworkBuilder as _NeuralNetworkBuilder from ...proto import FeatureTypes_pb2 as _FeatureTypes_pb2 from collections import OrderedDict as _OrderedDict from ...models import datatypes from ...models import MLModel as _MLModel from ...
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""" Author: Vladimir Ilievski <ilievski.vladimir@live.com> A Python file for the entire Goal-Oriented Dialogue System. """ from core import constants as const from core.environment.environment import GOEnv import core.agent.agents as agents from core.agent.processor import GOProcessor from core.dm.kb_helper import GO...
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#!/usr/bin/env python # coding: utf-8 # In[1]: import nltk # In[ ]: nltk.download_shell() # In[3]: messages = [line.rstrip() for line in open('SMSSpamCollection')] # In[4]: messages[0] # In[6]: import pandas as pd # In[7]: import seaborn as sns sns.set_style('whitegrid') # In[8]: messages = p...
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import pandas as pd import gdown from src.definitions import ROOT_DIR OUTPUT_ROOT = ROOT_DIR / 'data/external' if not OUTPUT_ROOT.is_dir(): OUTPUT_ROOT.mkdir(parents=True) def download_from_google_drive(file_ids, output_root=None, redownload=False): """ Download the seleced files from Google Drive us...
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#!/usr/bin/python # -*- coding: utf-8 -*- # __author__ : stray_camel # __description__ : 矩阵分解 # __date__: 2020/09/09 09 try: from apps.data.handler import get_ml_1m_ratings_df except: pass from math import sqrt from sklearn.metrics import mean_squared_error from scipy.sparse.linalg import svds from sklearn.mod...
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# -*- coding: utf-8 -*- from bookShelf import BookShelf from book import Book if __name__ == '__main__': bookShelf = BookShelf(1) bookShelf.appendBox(Book("addd")) # print t_class.__arg
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# -*- encoding: utf8 -*- '''假如共享的资源有多个,多线程竞争时一般使用信号量(Semaphore)同步。信号量有一个初始值,表示当前可用的资源数,多线程执行过程中会通过 acquire() 和 release() 操作,动态的加减信号量。比如,有30个工人都需要电锤,但是电锤总共只有5把。使用信号量(Semaphore)解决竞争的代码如下: ———————————————— 版权声明:本文为CSDN博主「天元浪子」的原创文章,遵循 CC 4.0 BY-SA 版权协议,转载请附上原文出处链接及本声明。 原文链接:https://blog.csdn.net/xufive/article/details/102...
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from enum import Enum class Status(Enum): """An enumeration of the gen_customer states""" UNDEFINED = 0, 'UNDEFINED state. (Not in use)' SUCCESS = 1, 'SUCCESS state.' WAIT = 2, 'WAITING state.' RENEGED = 3, 'RENEGED state. Used when the gen_customer is tired of waiting' def __str__(self): ...
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# Generated by Django 3.2 on 2021-05-13 09:55 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0003_auto_20210506_2251'), ] operations = [ migrations.AddField( model_name='profile', name='created', ...
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import asyncio import discord import os import json import sys from discord import channel from discord.ext import tasks from discord.ext import commands from asyncio import sleep from discord.flags import Intents from settings import * from pretty_help import PrettyHelp, Navigation client = commands.Bo...
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"""Data collector unit test suite."""
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# -*- coding: utf-8 -*- # Copyright 2020 Google 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 # # Unless required by applicable law or...
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from ev3dev import ev3 sensor = ev3.ColorSensor() sensor.mode = sensor.MODE_RGB_RAW while True: print(sensor.color)
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#!/usr/bin/env python3 from abc import ABC, abstractmethod from typing import Optional, Tuple import gpflow as gpf import tensorflow as tf import tensorflow_probability as tfp from gpflow import default_float from gpflow.models import BayesianModel, ExternalDataTrainingLossMixin from gpflow.models.training_mixins impo...
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import demo_mysql_connector #create database cursor = demo_mysql_connector.database.cursor() cursor.execute("CREATE DATABASE pythondb")
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# file /home/hep/ss4314/cmtuser/Gauss_v45r10p1/Gen/DecFiles/options/16144140.py generated: Wed, 25 Jan 2017 15:25:29 # # Event Type: 16144140 # # ASCII decay Descriptor: [Xi_b0 -> (Lambda0 -> p+ pi-) (J/psi(1S) -> mu+ mu-)]cc # from Configurables import Generation Generation().EventType = 16144140 Generation().SampleGe...
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