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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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#coding=utf-8 import datetime from util.base.read_conf import ReadConf from util.mysql.mysql import MySql from Crypto.Cipher import AES import os,sys import pymysql import pyhs2 import ConfigParser from io import BytesIO import paramiko import datetime import logging import time class JobDimDm : def __init__(se...
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import sys import numpy import cv2 import math def loadResource(source, out=None): # source serve para definir se a fonte sera um arquivo de video ou a webcam print("--------------Gradiente---------------") cap = cv2.VideoCapture(source) descritor_global = None counter = 0 # if out is not...
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from django.db import models from django.contrib.auth.models import User # Create your models here. class Customer(models.Model): user = models.OneToOneField(User, on_delete=models.CASCADE, null=True, blank=True) name = models.CharField(max_length=200, null=True) email = models.CharField(max_length=200, nu...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2019/1/9 0009 15:12 # @Author : Chihiro # @Site : # @File : 借你花.py # @Software: PyCharm from selenium import webdriver from requests import Session from BaseSpider import BaseSpider from DealWithCookie import cookie_to_dict import json from time import sl...
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from tweepy.streaming import StreamListener from tweepy import OAuthHandler from tweepy import Stream import json # consumer_key = 'NOT' # consumer_secret = 'GETTING' # access_token_key = 'MY' # access_token_secret = 'KEYS' consumer_key = 'viFcnMBuuVEEACYk8uHVJFxGl' consumer_secret = 'EoDGnIUQ316VbzaMt3nfcvwj4qnhpz8R...
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import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import numpy as np from scipy.stats import ttest_1samp, normaltest, mannwhitneyu, norm """ https://github.com/kontrybutor/tsbd_sem2/blob/7e97b92900d092c2eb67a17167ae9f9df4ae0d0d/JPwAD/ex1/ex2.py WORKS FINE WITH INFUSER """ "WRANGLING" births_f...
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from common.mongo import MongoModel from configs.config import END_TOPO_SUCCESS class UserCenterModel(MongoModel): def get_db(self): return 'usercenter' def get_collection(self): return 'user' def get_keys(self): return 'area', 'plat', 'uid' def get_conf(self): conf ...
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# # 10c # import math def main(): while True: n = int(input()) if n == 0: break s = list(map(int, input().split())) m = sum(s) / n aan = 0 for i in range(n): aan += (s[i] - m)**2 print(f"{math.sqrt(aan/n):.4f}") if __name__ == '__ma...
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import tkinter as tk import matplotlib import matplotlib.pyplot as plt import Vars from Vars import r, g, b, y, number from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg matplotlib.use('TkAgg') # from matplotlib.figure import Figure background_color = "#4ed0fc" button_color = "#abd897" # Personality Col...
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from time import sleep def maior(lst): maior = 0 print('-=' * 30) print('Analisando os valores passados...') if len(lst) == 0: print('Foram informados 0 valores ao todo.') print('O maior valor informado foi 0.') else: for c in lst: print(f'{c}', end=' ') ...
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#!/usr/bin/env python import sys,re IN=open(sys.argv[1],'r') OUT=open(sys.argv[2],'w') OUT1=open("Gene.Classifcation.xls",'w') #type distance lncRChr lncRstart lncRend Chr start end #genedist 193 Chr1 780106 780409 Chr1 780602 781285 #genedist 815 Chr1 2816 ...
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from linkedlistnode import linkedlist def return_kth_to_last(ll,k): p1= ll.head p2= ll.head #we dont know the length of ll for i in range(k): if p1 is None: return None p1=p1.next while p1.next != None: p1=p1.next p2=p2.next return p2
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from pygments.lexers.c_cpp import CppLexer from pygments.token import Name, Keyword from pygments.lexers import get_lexer_by_name # refer LEXERS from pygments.lexers._mapping import LEXERS class CppTransDslLexer(CppLexer): EXTRA_KEYWORDS = set(('__sync', '__asyn', '__sequential', '__concurrent', '__time_guard', ...
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from setuptools import setup setup( name='expandergraphs', version='1.2', description='Implementation of several expander construction algorithms', url='http://github.com/', author='Kate Shostak', author_email='katherine.shostak@gmail.com', license='MIT', packages=[ 'expanders',...
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#coding:utf-8 import json import sys import base64 import time import os import math if len(sys.argv) < 3: print("Usage: python join_transform.py plan_clc_trans version") exit(1) plan_clc_trans = {} for raw in open(sys.argv[1]): line_json = json.loads(raw.strip("\n\r ")) planid = line_json['planid'] ...
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[]
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'Acteurs.ui' # # Created by: PyQt5 UI code generator 5.15.3 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. from PyQt5 import QtCore, QtGu...
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amirkhan1092/Oops_python
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class Node: def __init__(self, data=None, next_node=None): self.data = data self.next_node = next_node def get_data(self): return self.data def get_next(self): return self.next_node def set_next(self, new_next): self.next_node = new_next def __str__(self):...
[ "amirkhan1092@gmail.com" ]
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doubles_by_3 = [x*2 for x in range(1,6) if (x*2) % 3 == 0] # Complete the following line. Use the line above for help. even_squares = [x**2 for x in range(2,11) if x%2 == 0] print(even_squares)
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from django.conf.urls import url from blog.views import blog, response_date_time, response_user_info_submit urlpatterns = { url(r'^date_time/', response_date_time), url(r'^user_info_submit/', response_user_info_submit) }
[ "otischan@163.com" ]
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py
import glob import os def clean_directories(Directories): for dir in Directories: files = glob.glob(dir + "/*") for f in files: os.remove(f)
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#https://www.acmicpc.net/problem/10653 import math import itertools line=input() n=int(line.split(" ")[0]) k=int(line.split(" ")[1]) points=[] def gettotal(tmp): arr=list(tmp) k=len(arr) sum=0 for i in range(0,k-1): x1=arr[i][0] y1=arr[i][1] x2=arr[i+1][0] y2=arr[i+1][...
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import collections def f7(seq): seen = set() seen_add = seen.add return [ x for x in seq if x not in seen and not seen_add(x)] f = [i for i in open('A-large.in')] f[-1] +='\n' data = [i[:-1] for i in f] cases = [] for i in range(int(data[0])): people = data[i+1].split(' ') print(people) s...
[ "miliar1732@gmail.com" ]
miliar1732@gmail.com
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import numpy import unittest import numpy.testing as nptst from exp.sandbox.predictors.TreeCriterionPy import findBestSplit2, findBestSplitRand, findBestSplitRisk from apgl.data.ExamplesGenerator import ExamplesGenerator class TreeCriterionPyTest(unittest.TestCase): def setUp(self): numpy.random.seed(21...
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/pwnpattern.py
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""" Copyright 2016 Google Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distri...
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#!/usr/bin/env python """ generated source for module GdlRenderer_Test """ # package: org.ggp.base.util.gdl.scrambler import junit.framework.TestCase import org.ggp.base.util.game.Game import org.ggp.base.util.game.GameRepository import org.ggp.base.util.gdl.grammar.Gdl # # * Unit tests for the GdlRenderer class,...
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import pdb def word_count(word): word_list = word.split() word_dict = {} return_string = "" for words in word_list: word_count = word_list.count(words) if not word_dict.has_key(words): word_dict[words] = (word_count) return word_dict
[ "rrc@berkeley.edu" ]
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import unittest from os import urandom from unittest import mock #if we imported the urandom function using a from statement (from os import urandom) is a special case where you can use __main__ to mock the function: def simple_urandom(length): return 'f' * length class TestRandom(unittest.TestCase): @mock...
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# Define your tables below (or better in another model file) for example # # >>> db.define_table('mytable', Field('myfield', 'string')) # # Fields can be 'string','text','password','integer','double','boolean' # 'date','time','datetime','blob','upload', 'reference TABLENAME' # There is an implicit 'id integer aut...
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import requests import json api_key = '1a4b5af2e17859894a38860bf2d69de2' git_url = 'https://github.com/aansong/Code2040-project' payload = {'token':api_key, 'github':git_url} endpoint = "http://challenge.code2040.org/api/register" r = requests.post(endpoint, data =payload) print (r.text)
[ "noreply@github.com" ]
noreply@github.com
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/NumPy Nit/NumPy_Reshape_Array.py
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# -*- coding: utf-8 -*- """ Created on Fri Feb 21 13:45:30 2020 @author: Rajesh """ NumPy reshape :- ------------- import numpy as np my_list = [10,20,30,40,50,60] arr = np.array(my_list) print('The Array :', arr) # [10 20 30 40 50 60] print('The size :', arr.size) # 6 print('The Dimensional :', arr.ndim) # 1 print...
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""" Django settings for Quat project. Generated by 'django-admin startproject' using Django 3.2.4. For more information on this file, see https://docs.djangoproject.com/en/3.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.2/ref/settings/ """ from pathlib im...
[ "mari.venegass@duocuc.cl" ]
mari.venegass@duocuc.cl
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print('Hello world') print('What is your name?') myName = input() print(myName) print('It is good to meet you, '+ myName) print('The length of your name is: ') print(len(myName)) print('What is your age?') myAge = input() print('You will be ' +str(int(myAge) +1) + ' in a year.') print('Please enter password :') passwo...
[ "daniel.seite@gmail.com" ]
daniel.seite@gmail.com
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[]
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"""This is a Roman Numeral and Integer converter that can convert number from roman to denary and back from 0-3999""" RomanValues = { "I": 1, "V": 5, "X": 10, "L": 50, "C": 100, "D": 500, "M": 1000, } def roman_to_int(str): total = 0 i = 0 while (i < len(str)): s1 = RomanValues[str[...
[ "noreply@github.com" ]
noreply@github.com
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no_license
kpodlaski/ProgramowanieZaawansowane2019
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def mat_mul(A,B): result = [] for i in range(0, len(A)): result.append([]) for k in range(0,len(B[0])): v = 0 for j in range(0, min(len(A[i]), len(B))): v+=A[i][j]*B[j][k] result[i].append(v) return result
[ "podlaski@uni.lodz.pl" ]
podlaski@uni.lodz.pl
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/stripped/unittest/test/test_case.py
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notro/tmp_CircuitPython_stdlib
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import contextlib import difflib import re import sys from test import support import unittest from unittest.test.support import ( TestEquality, TestHashing, LoggingResult, LegacyLoggingResult, ResultWithNoStartTestRunStopTestRun ) class Test(object): "Keep these TestCase classes out of the main name...
[ "noralf@tronnes.org" ]
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a = int(input()) b = int(input()) c = int(input()) n = int(input()) arr = [a,b,c] d1 = arr[1]-arr[0] d2 = arr[2]-arr[1] for x in range(4,n+1): if x%2 == 0 : arr.append(arr[-1]+d1) else: arr.append(arr[-1]+d2) print(arr[-1])
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# -*- coding: utf-8 -*- """ Created on Fri Jan 17 09:42:08 2020 @author: jguerrero """ # Maquina de soporte vectorial SVM # Como importar las librerias import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importar el dataset dataset = pd.read_csv('Social_Network_ads.csv') X = dataset.iloc[:, 2:4...
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#!D:\REPOSITORIO\MeusProjetos\SITE_EngColab_project\engblog\venv\Scripts\python.exe # When the django-admin.py deprecation ends, remove this script. import warnings from django.core import management try: from django.utils.deprecation import RemovedInDjango40Warning except ImportError: raise ImportError( ...
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import numpy as np def evaluate(event_model, dev_manager): event_model.eval() A, B, C = 1e-10, 1e-10, 1e-10 for batch in dev_manager.iter_batch(shuffle=True): text, t1, t2, s1, s2, k1, k2, o1, o2 = batch ps1_out, ps2_out, pn1_out, pn2_out, t_dgout, mask = event_model.trigger_model_forwar...
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import numpy as np import sys import csv import copy from collections import Counter from datetime import date, timedelta,datetime import os.path from keras.datasets import imdb from keras.models import Sequential from keras.layers import Dense from keras.layers import LSTM from keras.layers.embeddings import Embedding...
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from netCDF4 import Dataset import pandas as pd import numpy as np import os file_name = 'nc_name.nc' fh = Dataset(file_name) print('================= NC File Group List =================') print(fh) for item in fh.groups: print('==================='+item+'===================') print(fh[item]) ...
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import torch import numpy as np from torchfm.layer import FeaturesEmbedding, FeaturesLinear, AttentionalFactorizationMachine class AttentionalFactorizationMachineModel(torch.nn.Module): """ A pytorch implementation of Attentional Factorization Machine. Reference: J Xiao, et al. Attentional Factor...
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# Generated by Django 3.2.dev20200924115306 on 2021-03-15 09:34 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('rpm_web', '0034_alter_mtype_input2_fig1_name'), ] operations = [ migrations.AlterField( model_name='mplan2', ...
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""" huffman algo with heap data structure """ def heapify(lst): l = len(lst) l_2 = l//2 - 1 for i in range(l_2, -1, -1): k = i while lst[k] > min(lst[k*2+1:k*2+3]): if min(lst[k*2+1:k*2+3]) == lst[k*2+1]: lst[k*2+1], lst[k] = lst[k], lst[k*2+1] k = k*2+1 else: lst[k*2+2], lst[k] = lst[k], lst[k...
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import usefulStuff print(usefulStuff.roll_dice(10))
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from django.shortcuts import render # Create your views here. def index(request): ctx = {'title':'Home page'} # data for html page return render(request, 'index.html',context=ctx) def show_data(request): ctx = {'title':'Show Data'} return render(request, 'data.html', context=ctx)
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from gPhoton.gMap import gMap def main(): gMap(band="NUV", skypos=[51.906917,38.136472], skyrange=[0.0333333333333,0.0333333333333], stepsz = 30., cntfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdBs/sdB_FBS_0324+379/sdB_FBS_0324+379_movie_count.fits", cntcoaddfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdB/sd...
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#!/usr/bin/env python3 # Copyright 2009-2017 BHG http://bw.org/ animals = ('bear', 'bunny', 'dog', 'cat', 'velociraptor') for pet in animals: print(pet) if pet == 'dog': continue if pet == 'bunny': break print(pet) else: print("that is all of the animals") mylist = ("...
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from django.urls import path from . import views urlpatterns = [ path('', views.index, name='index'), path('get_cards/', views.getCards, name='get_cards'), path('card_list/', views.CardList, name='card_list'), path('items/<int:card_id>', views.CardItems, name='card_items'), ]
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#!/Users/jeremyskornik/DjangoProjects/Billboard/venv/bin/python # -*- coding: utf-8 -*- import re import sys from django.core.management import execute_from_command_line if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(execute_from_command_line())
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import pytest from .common import simple_ok_check, simple_nok_check # fmt: off @pytest.mark.parametrize('code', [ """ func foo(): pass """, """ func foo_bar(): pass """, """ func _foo(): pass """, """ func _foo_bar(): pass """, """ func _on_Button_pressed(): pass """, ]) def test_function_name_ok...
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from django.core.urlresolvers import reverse from misago.admin.testutils import AdminTestCase from ..models import Role from ..testutils import fake_post_data def fake_data(data_dict): return fake_post_data(Role(), data_dict) class RoleAdminViewsTests(AdminTestCase): def test_link_registered(self): ...
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''' Defining Group Normalization here ''' import tensorflow as tf import tensorflow.contrib.slim as slim def norm(x, norm_type, is_train, G=32, esp=1e-5): with tf.variable_scope('{}_norm'.format(norm_type)): if norm_type == 'none': output = x elif norm_type == 'batch': outpu...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # Copyright (c) 2012-2013, Anders Lowinger, Abundo AB # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # * Redistributions of source code must ret...
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#!/usr/bin/env python # internal libraries from __future__ import division from copy import deepcopy import time import os from tkinter import END from datetime import datetime # external libraries import numpy as np from scipy import stats, cluster, spatial, special from sklearn.cluster import KMeans from sklearn imp...
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#3.9 #program zakłada, że podana liczba jest prawidłowa; #program tłumaczy wszysktie możliwe poprawne liczby rzymskie na arabskie; #zastosowałem słownik wybierający liczby na podstawie dopasowania z tabeli #zawierającej możliwe kombinacje symboli rzymskich def roman2int(tekst): D = {} D['I'] = 1 D['II'] = 2 D['II...
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import skimage from skimage import measure import numpy as np def psnr(im1, im2): def im2double(im): min_val, max_val = 0, 255 out = (im.astype(np.float64)-min_val) / (max_val-min_val) return out im1 = im2double(im1) im2 = im2double(im2) psnr = skimage.measure.compare_psnr(im1, ...
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import sys sys.setrecursionlimit(10**6) N, M = map(int, input().split()) par = [-1 for _ in range(10 ** 5 +1)] def root(x): if par[x] < 0: return x par[x] = root(par[x]) return par[x] def unite(x, y): x = root(x) y = root(y) if x == y: return par[x] += par[y] par[y...
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import hashlib as hasher import datetime as dt KelleyChain = [] class KelleyCoin: # init for creating a KelleyCoin object def __init__(self, index, ts, value, prev_hash): self.index = index self.ts = ts self.value = value self.prev_hash = prev_hash self.hash = self.hasher() # method to return hash of va...
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class GameStats: def __init__(self, ai_game): """Инициация статистики""" # Рекорд не должен сбрасываться self.high_score = 0 self.settings = ai_game.settings self.reset_stats() # Игра запускается в неактивном состоянии self.game_active = False def reset_...
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# coding=utf8 # Entrada metros = int (input("Informe a medida em metros: ")) # Processamento centimetros = metros * 100 # Saída print("{0} metro(s) em centímetros é: {1}cm ".format(metros, centimetros))
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from nota import Nota class Cuaderno: '''Representa una coleccion de notas que pueden ser ertiquetadas, modificadas, y se pueden buscar''' def __init__(self): '''Inicializa un cuader con una lista vacia''' self.notas = [] def nueva_nota(self, memo, tags=''): '''Crea una n...
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""" WSGI config for milena project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/1.10/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETTI...
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"""webapp URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.11/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Class-bas...
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# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def binaryTreePaths(self, root): """ :type root: TreeNode :rtype: List[str] """ r...
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from django.db.models import Manager class LessonManager(Manager): def unarchived(self): """Пары, находящиеся в архиве""" return self.filter(archived=False) def archived(self): """Пары, не находящиеся в архиве""" return self.filter(archived=True) def numerator(self): ...
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terrypang/bupt-dr2
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from __future__ import division, print_function, absolute_import import numpy as np from glob import glob from tqdm import tqdm from keras.preprocessing import image import os import pandas as pd from sklearn.utils.class_weight import compute_class_weight from utils import utils def main(): RAW_DIR = 'data/conv...
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def generateEncryptionKey(key): encryptionKey = [] for i in range(len(key)): encryptionKey = encryptionKey + [ord(key[i])*((-1)**i)] return encryptionKey def generateEncryptionKeyOffset(key,start): encryptionKeyOffset = start for i in range(len(key)): if encryptionKeyOffset<510: ...
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def make_enums(enum_classes, header_file, namespace, classname): enums, declarations = [], [] for ec in enum_classes: enum_name, parts = (i.strip() for i in ec) parts = [p.strip() for p in parts.split(',')] if parts and parts[-1].startswith('last ='): parts.pop() enum...
[ "tom@swirly.com" ]
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import scrapy from ..utils import clean_commas class Co2EmissionsSpider(scrapy.Spider): name = 'co2_emissions' allowed_domains = ['www.worldometers.info'] start_urls = ['https://www.worldometers.info/co2-emissions/co2-emissions-by-country'] def parse(self, response): table = response.xpath('//...
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[]
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greeting = "Hello" #name = input("Please enter your name ") #print(greeting +" " + name) splitString = "This string has been \n split over \n several\nlines" print(splitString) today = "friday" print("fri" in today)
[ "madan.haraginadoni@auspost.com.au" ]
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# -*- coding: utf-8 -*- # Generated by Django 1.9.5 on 2016-09-17 10:02 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('comments', '0002_auto_20160917_1226'), ] operations...
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[]
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#Code for Speedometer module #Import warnings to ignore warnings import warnings #Import Adafruit_CharLCD library (Adafruit_CharLCD.py) import Adafruit_CharLCD as LCD #Import DistanceSensor, LED, OutputDevice from gpiozero library from gpiozero import DistanceSensor, LED, OutputDevice #Import time to pause or delay the...
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from django.db import models # Create your models here. class Task(models.Model): name = models.CharField(max_length=255) genre = models.CharField(max_length=255) artis = models.CharField(max_length=255) th = models.CharField(max_length=255) lirik = models.CharField(max_length=255) link = mode...
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[]
no_license
gaurav3030/auditorium
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""" Django settings for bookaudi project. Generated by 'django-admin startproject' using Django 2.2.5. 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 os ...
[ "2018.gaurav.patil@ves.ac.in" ]
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x = input() x=int(x) if (x<30): print("No") else: print("Yes")
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#!/usr/bin/env python # -*- coding: utf-8 -*- # ******************************************************************************** # Copyright © 2018 jianglin # File Name: test_jieba.py # Author: jianglin # Email: mail@honmaple.com # Created: 2018-05-18 13:22:46 (CST) # Last Update: Tuesday 2018-12-18 11:32:46 (CST) # ...
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""" Implementation of DDPG - Deep Deterministic Policy Gradient Algorithm and hyperparameter details can be found here: http://arxiv.org/pdf/1509.02971v2.pdf The algorithm is tested on the Pendulum-v0 OpenAI gym task and developed with tflearn + Tensorflow Author: Patrick Emami """ import tensorflow as tf imp...
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from pynput.mouse import Controller from pynput.keyboard import Controller def controlMouse(): mouse = Controller() mouse.position = (10,20) def controlKeyboard(): keyboard = Controller() keyboard.type("i am hungry again") controlKeyboard()
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import argparse import subprocess import os import re if __name__== '__main__': parser = argparse.ArgumentParser() parser.add_argument('input') parser.add_argument('output') args = parser.parse_known_args() print (args[0].output) cpp = args[1] ret = subprocess.run(cpp + [args[0].input], s...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.1 on 2017-09-08 18:53 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('profiles', '0003_profile_account'), ] operations = [ migrations.AddField( ...
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import Parameter as pr from Cell import * from User import * import random as rd from math import sqrt, pi, degrees, atan2, log, pow import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt import pickle as pk import numpy as np def get_dist(x1, y1, x2, y2): return sqrt((x1-x2)**2 + ...
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import gym import gym.spaces from gym.utils import seeding from gym.envs.registration import EnvSpec import enum import numpy as np from . import data DEFAULT_BARS_COUNT = 1200 DEFAULT_COMMISSION_PERC = 0.0 SKEW = .05 class Actions(enum.Enum): Skip = 0 Buy = 1 Close = 2 class State: def __init__(s...
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import math n = int(input()) result = math.factorial(n) dividor = 10 ** 9 + 7 print (result % dividor)
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from pygame.locals import * # game constants SCREENRECT = Rect(0, 0, 0, 0) FPS = 60.0
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# This file is part of the P3IV Simulator (https://github.com/fzi-forschungszentrum-informatik/P3IV), # copyright by FZI Forschungszentrum Informatik, licensed under the BSD-3 license (see LICENSE file in main directory) import abc import numpy as np import p3iv_types class PerceptInterface(object): __metaclass_...
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import requests import parsel import time import csv import datetime def parse_one_page(url, region, csv_writer): headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36' } response = requests.get(url=url, headers=he...
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from datetime import datetime from requests import Response from core.logger import Logger class BaseCase: def setup(self): pass def teardown(self): Logger.get_instance().write_log_to_file() @staticmethod def get_cookie(response: Response, cookie_name): if cookie_name in resp...
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from flask import Flask from flask_sqlalchemy import SQLAlchemy app = Flask(__name__) app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test1.db' db = SQLAlchemy(app) class Items(db.Model): id = db.Column(db.Integer, primary_key=True) Naming = db.Column(db.String(80)) Description = db.Column(db.String) Cat_...
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import json import logging import re import socket class LogstashFormatter(logging.Formatter): """ A custom JSON formatter intended for consumption by logstash """ DEFAULT_KEYS = ['fields'] def __init__(self, keys=DEFAULT_KEYS, *args, **kwargs): log_format = ' '.join(['%({0})'] * len(key...
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# Copyright 2019 The dm_control Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...
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