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class InterpolatorConfig: _interpolators = ["RIFE"] _interpolator = "RIFE" _interpolationFactor = 2 _loopable = False _mode = 1 _clearPngs = True _nonLocalPngs = True _scenechangeSensitivity = 0.20 _mpdecimateSensitivity = "64*12,64*8,0.33" _enableMpdecimate = True _useAccura...
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from django.contrib import admin # Register your models here. from app01 import models admin.site.register(models.UserInfo) admin.site.register(models.Article) admin.site.register(models.Blog) admin.site.register(models.ArticleDetail)
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import numpy as np # # # r = 30.0 theta_deg = 88.2 d0 = 1.0/800 E0 = 1000.0 m = -1 # # inputs # theta = theta_deg * np.pi / 180 print("------------- INPUTS ----------------------") print("theta = %f deg = %f rad"%(theta_deg,theta)) print("1/d0 = %f lines/mm"%(1/d0)) print("r = %f m"%(r)) print("order = %d m"%(m)...
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#-*- coding: utf-8 -*- ''' Functions See Also: http://docs.python.org/3/tutorial/controlflow.html#defining-functions http://docs.python.org/3/tutorial/controlflow.html#more-on-defining-functions ''' # Error #def func(): def func(): pass def func(num, num1=1, num2=2): print(num, num1, num2) ...
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class Animation(object): def __init__(self, name): self.name = name self.frames = [] self.col = 0 self.forward = True self.speed = 0 self.dt = 0 self.finished = False def addFrame(self, frame): self.frames.append(frame) def getFrame(self): ...
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#!/usr/bin/python """ flickr_download_helper.py This small program was developed to help retrieve full bunch of photos from flickr. To have the description of the parameters, please read flickr_download_helper.config or start the program with the --help flag """ import sys import traceback import flickr_download_he...
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""" Given an array of strings strs, group the anagrams together. You can return the answer in any order. An Anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once. """ from typing import List class Solution: def groupAnag...
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# convert dictionary key and value to unicode d = {'firstname' : 'Foo', 'lastname' : 'Bar'} d = {unicode(k):unicode(v) for k,v in d.items() }
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""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 2.1. For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/ref/settings/ """ import os # Bu...
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# Copyright The PyTorch Lightning team. # # 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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import sys import os """ For this script to work you need the jack.mesh from /media/models in /data/assets You will have to manually put your txml file name down in the __main__ func to: --> fileName = "putFileNameHere.txml" <-- 1. Run this script on your tundra 1.x txml 2. This will create a...
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# ******************************************************************************* # ** # ** Author: Michael Lomnitz (mrlomnitz@lbl.gov) # ** Python module defining stochastic gradient descent model for use in # ** tensorflow classifier # ** # ******************************************...
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# -*- coding: utf-8 -*- from __future__ import print_function, unicode_literals import unicodecsv as csv import xlrd, xlwt import os import shutil import sys import datetime import random from optparse import make_option from django.core.management.base import BaseCommand from django.core.management.base import Com...
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#06-022.py import re pattern = re.compile(r'[a-z]{2}') ret = pattern.search('123abc123') #ret = pattern.search('abcXde') if ret: print('Matched : ' + ret.group()) else: print('NOT matched')
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s=[int(x) for x in list(input())] moves=0 i=0 n=len(s) m=max(s) while moves!=100: curr=s[i] temparr=[s[(i+1)%n],s[(i+2)%n],s[(i+3)%n]] p=i s.pop((p+1)%len(s)) p=s.index(curr) s.pop((p+1)%len(s)) p=s.index(curr) s.pop((p+1)%len(s)) tempcurr=curr while(True): curr-=...
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class Solution: def backspaceCompare(self, S: str, T: str) -> bool: i=len(S)-1 j=len(T)-1 skip1=skip2=0 while(i>-1 or j>-1): c=S[i] if i>=0 else "" c1=T[j] if j>=0 else "" if(c=='#'): skip1+=1 i-=1 ...
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# 面向对象 class House: # 静态属性 -> 变量, 类变量, 在类之中, 方法之外 door = "red" floor = "white" # 构造函数,是在类实例化的时候直接执行 def __init__(self): # 实例变量,是在类实例化的时候直接执行,以“self.变量名的方式去定义”,实例变量的作用域为这个类中的所有方法 self.door self.yangtai = "大" # 动态属性 -> 方法(函数) def sleep(self): # 普通变量,再类之中、方法之中...
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import numpy as np import pandas as pd ## Data loading train_dataset = pd.read_csv("../../data/training.csv") train_labels = pd.read_csv("../../data/training-labels.csv") test_dataset = pd.read_csv("../../data/test.csv") ## Conversion of date recorded to date data type train_dataset['date_recorded'] = pd.to_datetime(...
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import socket import argparse parser = argparse.ArgumentParser( description='Python command line tool to check for open ports on a host', epilog="python portCheck.py --host 192.168.1.221 --port 3389" ) parser.add_argument("--host", required=True, help="IP of machine running to check") parser.add_argument("--po...
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# %% from datetime import date, timedelta, datetime from feature_engineering import featureEng from data_generation import get_data from train import Train, ClfTrain import pandas as pd import numpy as np pd.set_option('display.max_rows', 500) import pickle from predict import Predict from general_functions import nex...
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# Generated by Django 3.0.7 on 2020-07-03 16:39 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('main_app', '0005_photo')...
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import werkzeug from odoo import api, fields, models, _, tools import shopify class ShopifyDiscountProgram(models.Model): _name = "shopify.discount.program" _description = "Discount Program" def get_discount_shop(self): user_current = self.env['res.users'].search([('id', '=', self._uid)]) ...
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#!/usr/bin/python class Myclass(): i = 123 def __init__(self): self.i = 345 a = Myclass() print(a.i) print(b.i)
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from PIL import Image import os import os.path import numpy as np import pickle from typing import Any, Callable, Optional, Tuple from torchvision.datasets.vision import VisionDataset from torchvision.datasets.utils import check_integrity, download_and_extract_archive import torch class CIFAR10C(VisionDataset): ""...
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from django.shortcuts import render def contact(request): return render(request, 'contact/contact.html', locals())
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import Corpus_PM #import LSTM_RE_Predict import LSTM_RE_Predict_v2 import FileUtil import subprocess import os, sys import Keyword_Extraction from Constants import home_dir, threshold import logging; import time; model_file = home_dir + 'data/liver.in.train.h5' def run2(abstract, entity_list, eval, re...
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# Name : Iftekhar Chowdhury # Date : Oct 31, 2015 # Homework 2.3 sample_text = """ And since you know how you cannot see yourself, so well as by reflection, I, your glass, will modestly discover to yourself, that of yourself which you yet know not of. """ search_string = raw_input ('Please enter a text to replace:') n...
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#coding: utf-8 PATH = r"moviesUrls.txt" import pymysql conn = pymysql.connect( host= "59.110.17.233", port= 6306, user= "aliPa", password= "6y3*p*o$Uj>1s$H", database= "ysali", charset= 'utf8', ) # 网页链接的时候使用 BaseUrl = "http://www.gewara.com" # 服务器响应的时候提交的URL BasePostUrl =...
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import os import time import pandas as pd import json file = "credentials.txt" class Client(object): def __init__(self,auth=False): """ Wraps the authentication process of the HTTP requests into a managable system """ self.auth = auth self.credentials = {} def set_additional_c...
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#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Wed Nov 1 18:05:14 2017 @author: chitianqilin """ import numpy as np import copy import matplotlib as mpl import matplotlib.pyplot as plt import time import dill from mpl_toolkits.mplot3d import Axes3D from matplotlib.backends.backend_pdf import PdfPages ...
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import os from datetime import datetime from time import time import numpy as np import tensorflow as tf from sklearn.impute import SimpleImputer from sklearn.mixture import GaussianMixture from tqdm import tqdm os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' RANDOM_SEED = 42 tf.set_random_seed(RANDOM_SEED) # Training Par...
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# services/__init__.py import os from flask import Flask from services.api.RecSystem import RecSystem_blueprint def create_app(script_info=None): app = Flask(__name__) # config app_settings = os.getenv('APP_SETTINGS') app.config.from_object(app_settings) app.register_blueprint(RecSystem_blueprin...
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""" Functions can be assigned and reassigned to variables and later referenced by those names. """ #(i) def multiply(a,b): return a*b opr = multiply print(opr(5,6)) #(ii) def multiply(a,b): return a*b opr = multiply(5,6) print(opr) #(iii) - functions can also be used as arguments of other functions ...
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import pytest from ctapipe.io import EventSource, DataWriter from ctapipe.utils import get_dataset_path @pytest.fixture(scope="session") def r1_path(tmp_path_factory): return tmp_path_factory.mktemp("r1") @pytest.fixture(scope="session") def r1_hdf5_file(r1_path): source = EventSource( get_dataset_p...
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''' Use of this source code is governed by a MIT-style license that can be found in the LICENSE file. Created on Aug 4, 2016 @author: Niels Lubbes This file declares 2 classes: "BasePointTree" and "BasePoint". ''' class BasePointTree(): ''' This class represents a tree of base points of a linear series of ...
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#!/usr/bin/python import numpy import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt from studentRegression import studentReg from class_vis import prettyPicture, output_image from ages_net_worths import ageNetWorthData ages_train, ages_test, net_worths_train, net_worths_test = ageNetWorthData() ...
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from .settings import * DATABASES = { 'default' : { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': ':memory:' } } PASSWORD_HASHERS = ( 'django.contrib.auth.hashers.MD5PasswordHasher', ) DEFAULT_FILE_STORAGE = 'inmemorystorage.InMemoryStorage'
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from HTMLTestRunner_cn import HTMLTestRunner from sharedParkingPlace1111.tools.parse import FileParse import unittest from sharedParkingPlace1111.testcase.owner_parking_api import TestParkingAPI class AllStart: def start(self, path): suite = unittest.TestSuite() loader = unittest.TestLoader() ...
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from django.db import models # Create your models here. class Users(models.Model): username = models.CharField("用户名",max_length=20) password = models.CharField("密码",max_length=20) realname = models.CharField("真实姓名", max_length=255) sex = models.CharField("性别", max_length=10) email = models.EmailFie...
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# df.itertuples(index=True, name=Pandas) - Iterate over DataFrame rows as namedtuples. import pandas as pd df = pd.DataFrame({ 'num_legs': [4, 2], 'num_wings': [0, 2],}, index=['dog', 'hawk'] ) # print(df) # # num_legs num_wings # # dog 4 0 # # hawk 2 2 pr...
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import cv2 import numpy as np from time import sleep largura_min=80 #Largura minima do retangulo altura_min=80 #Altura minima do retangulo offset=6 #Erro permitido entre pixel pos_linha=550 #Posição da linha de contagem delay= 60 #FPS do vídeo detec = [] carros= 0 def pega_centro(x, y, w, h): x1 = int(w ...
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import pandas from hit_tables import parse_blast_m8, PAF from Bio import SeqIO # pick a best read hits = parse_blast_m8(str(snakemake.input.paf),format=PAF) hit_matches = hits.groupby(['hit','query']).agg({'matches':sum}) mean_matches = {r:hit_matches.query(f'hit != query and (hit == "{r}" or query == "{r}")').matches...
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#!/usr/bin/python # -*- coding: utf-8 -*- # Recipe # ---------------------------------------------------------------------------- class recipe: @staticmethod def enter_event(notified_f): def wrapper(f): def caller(obj, *args, **kargs): notified_f(obj, *args, **kargs) ...
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import unittest from app import app class TestingApp(unittest.TestCase): #Does the app loads up correctly def test_index(self): tester = app.test_client(self) resp = tester.get('/', content_type='html/text') self.assertEqual(resp.status_code, 200) #Does the app requires logi...
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from django.db import models from beaconWeb.common_utils import smart_format from beaconWeb.apps.beacon.common.constants.place_sales_status import PLACE_SALES_STATUS from point_of_sale import PointOfSale class DealPlace(models.Model): longitude = models.FloatField(db_index=True) latitude = models.FloatField(d...
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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', 'intraviewAI.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise Im...
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#!/home/pypi/Desktop/cleanup/loveofalldogs/venv3/bin/python3.7 # -*- 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 socket UDP_IP = "127.0.0.1" UDP_PORT = 5018 print("IP address",UDP_IP) print("Port number ",UDP_PORT) sock = socket.socket(socket.AF_INET,socket.SOCK_DGRAM) try: while True: message=input("enter message to be sent ").encode() if message in [b"Q",b"q"]: break; sock.s...
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# generated from catkin/cmake/template/order_packages.context.py.in source_root_dir = '/home/abhish/tutorial_ws/edx_ws/src' whitelisted_packages = ''.split(';') if '' != '' else [] blacklisted_packages = ''.split(';') if '' != '' else [] underlay_workspaces = '/home/abhish/tutorial_ws/edx_ws/devel;/opt/ros/melodic'.spl...
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valores = list() maior = menor = 0 for c in range(0, 5): valores.append(int(input(f'Digite um valor para a posição {c}: '))) if c == 0: maior = menor = valores[c] else: if valores[c] > maior: maior = valores[c] if valores[c] < menor: menor = valores[c] print...
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from django.db import models class Question(models.Model): name = models.CharField(max_length=5) age = models.IntegerField()
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from django import forms from cementerio.models import Cementerio # Create you forms class cementerioForm(forms.ModelForm): class Meta: model = Cementerio fields = [ 'fecha_compra', 'usuario', 'construccion', 'lote', 'lote_num', ...
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#!/usr/bin/env python3 # --*-- coding: utf-8 --*-- import socket import threading import os import stat import sys import time import grp import pwd import ssl import codecs try: import ConfigParser except ImportError: import configparser as ConfigParser try: HOST = '127.0.0.1' # socket.gethostbyname(so...
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from app.main import create_app app = create_app() app.run(host="0.0.0.0", port=5600, debug=True)
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import math def calcula_euler(i,s,n,x): i = 0 s = 0 for i in range(n+1): s += (x**i)/math.factorial(i) print(s) return s print(calcula_euler)
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# Generated by Django 2.2.17 on 2021-01-29 10:03 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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#!/usr/bin/env python3 import crypt import os,sys # append base path to sys.path runpath = os.path.dirname(os.path.realpath(__file__)) approot = os.path.abspath(os.path.join(runpath, os.pardir)) sys.path.append(os.path.join(runpath,'..')) sys.path.append(approot) import lib.commandparser as cp # python3 -c 'import cry...
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a=[0,1] n=int(input()) if n==0: print(a[0]) elif n==1: print(a[1]) else: for i in range(2,n+1): fib=a[i-1]+a[i-2] a.append(fib) add=sum(a) print(add%10)
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import random randNumber= random.randint(1,100) userGuess= None guesses= 0 while( userGuess != randNumber): userGuess= int(input("Enter your guess")) guesses += 1 if( userGuess == randNumber): print("You guressed it right!") else: if(userGuess > randNumber): print("You guess...
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# -*- coding: utf-8 -*- # @Time : 2018.09.06 14:48 # @Author : Aaron Ran # @IDE: PyCharm Community Edition """ 实现一个基于Enet-encoder的特征编码类 """ from collections import OrderedDict import tensorflow as tf from encoder_decoder_model.ENet import Enet_model class Enet_decoder(Enet_model): """ 实现了一个基于ENet的特征解码类 ...
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# -*- coding: utf-8 -*- import networkx as nx from nose.tools import assert_equal, assert_raises class TestNetworkSimplex: def test_simple_digraph(self): G = nx.DiGraph() G.add_node('a', demand = -5) G.add_node('d', demand = 5) G.add_edge('a', 'b', weight = 3, capacity = 4) ...
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#!/usr/bin/env python import SocketServer import SimpleHTTPServer import threading import time import unittest from ngcccbase.p2ptrade.comm import HTTPComm, ThreadedComm, CommThread class MockAgent(object): def dispatch_message(self, m): pass class TestServer(threading.Thread): def __init__(self, a...
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#!/usr/bin/python from __future__ import print_function import tensorflow as tf from tensorflow.contrib.rnn import GRUCell from tensorflow.python.ops.rnn import dynamic_rnn as rnn from tensorflow.python.ops.rnn import bidirectional_dynamic_rnn as bi_rnn from keras.datasets import imdb from attention import attention ...
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from facepy import GraphAPI import time from datetime import datetime from calendar import timegm import requests import json from google.cloud import language from google.cloud.language import enums from google.cloud.language import types import time import sys posts = [] images = [] videos = [] fb = {} id_list = [] T...
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# ~/import/absolute/script/__main__.py import sys print('---') print(sys.path[0]) print(__file__) print(__package__) print(__name__) import module_a import sub_package
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# your code goes here import math for _ in range(int(input())): n,m=map(int,input().split()) if n%2==0: if m%2==0: if m<=((int)(math.sqrt(n))): print("YES") else: print("NO") else: print("NO") else: if m...
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import random def nrandom(start, end, n , duplicated = False): ''' start와 end 사이의 정수 난수를 n개 생성해 반환 인자 start:시작 정수 end:마지막 정수 n: 난수 개수 duplicated: 중복 허용 여부 , 기본은 중요하지 않음 true면 중복허용 ''' lst = [] #반환할 난수 리스트 if duplicated: for _ in range(n): lst.append(random.randint(s...
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# -*- coding: utf-8 -*- """ Created on Wed Dec 13 16:43:04 2017 @author: cisdi """ import xlrd import string import pandas as pd import csv import os import random class Sheet: def __init__(self, file_path): try: self.sheet = xlrd.open_workbook(file_path, formatt...
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#!/usr/bin/env python # This file is part of MAUS: http://micewww.pp.rl.ac.uk/projects/maus # # MAUS 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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# Карточки персонажей в стиле Fallout 2. ##---- # Герои metadict_army['Персонажи'] = { 'Джина':1, 'Квинта':1, } metadict_army['Джина'] = { # Джина-алугви 'Trait (Jinxed)':1, 'Trait (Small Frame)':1, 'Джина (параметры)':1, 'Джина (жизнь в Кладже)':1, ...
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class Solution: def rotate(self, nums, k): """ :type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead. """ if not nums: return n = len(nums) k = k % n nums[:] = nums[-k:] + nums[:-k] ...
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import wx import wx.grid """ Mixin for wx.grid to implement cut/copy/paste and undo/redo. Handlers are in the method Key below. Other handlers (e.g., menu, toolbar) should call the functions in OnMixinKeypress. https://github.com/wleepang/MMFitter/blob/master/pywxgrideditmixin.py """ class PyWXGridEditMixin(): ...
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#!/usr/bin/python # Copyright (c) 2009 Chris Moyer http://coredumped.org/ # # Permission is hereby granted, free of charge, to any person obtaining a # copy of this software and associated documentation files (the # "Software"), to deal in the Software without restriction, including # without limitation the rights to u...
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from .api import APIItems class Lights(APIItems): """Represents Hue Lights. https://developers.meethue.com/documentation/lights-api """ def __init__(self, raw, request): super().__init__(raw, request, 'lights', Light) class Light: """Represents a Hue light.""" def __init__(self, id...
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import pytest from ichnaea.api.locate.tests.base import DummyModel @pytest.fixture(scope='class') def cls_source(request, data_queues, geoip_db, http_session, raven_client, redis_client, stats_client): source = request.cls.Source( geoip_db=geoip_db, raven_client=raven_client, ...
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import numpy as np import cv2 class Human_Detectors(object): # Class to detect objects in a frame def __init__(self): self.sub = cv2.createBackgroundSubtractorMOG2() def Detect(self, frame): """ Detects objects in the single video frame with the following steps: ...
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# --Douglas-Peucker Algorithm-- # # Program by: Hannes Ziegler # Date: 12/1/2013 (updated 3/24/2019) # # --Description-- # The Douglas-Puecker algorithm takes as input a set of # x and y coordinates and reduces the number of vertices # within the given set of points. # #----------------------------------------...
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#!/usr/bin/env python from collections import Counter counters = [] for i in range(8): counters.append(Counter()) with open("input.txt", "r") as f: for line in f: for i in range(8): counters[i][line[i]] += 1 result, result2 = "", "" for i in range(8): result += counters[i].most_common...
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from werkzeug.security import generate_password_hash from app.models import db, User # Adds a demo user, you can add other users here if you want def seed_users(): demo = User(username='Demo', email='demo@aa.io', password='password', firstname="Demo", lastname="User", techcategor...
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import requests from bs4 import BeautifulSoup url = "https://bp.eosgo.io/" result = requests.get(url =url) bs_obj = BeautifulSoup(result.content, "html.parser") lf_items = bs_obj.findAll("div", {"class":"lf-item"}) print(lf_items) hrefs = [div.find("a")['href'] for div in lf_items] print(len(hrefs[0:5])...
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""" Configuration for docs """ # source_link = "https://github.com/[org_name]/tambahan" # docs_base_url = "https://[org_name].github.io/tambahan" # headline = "App that does everything" # sub_heading = "Yes, you got that right the first time, everything" def get_context(context): context.brand_html = "Tambahan"
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# -*- coding: utf-8 -*- """ Created on Wed Jun 23 20:04:55 2021 @author: RISHBANS """ import pandas as pd dataset = pd.read_csv("Company_Profit.csv") X = dataset.iloc[:, :-1].values y = dataset.iloc[:, 1].values from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_spli...
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import sys from os import urandom from sys import version_info from bitstring import Bits, BitArray fun_name = sys._getframe().f_code.co_name if version_info[0] < 3: raise Exception("Python 3 or a more recent version is required.") class Frame: def __init__(self, iv, crc, payload): self.iv = iv ...
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""" DQN in PyTorch """ import os import cv2 import torch import torch.nn as nn import numpy as np import datetime import random from collections import namedtuple from collections import deque from typing import List, Tuple import matplotlib.pyplot as plt from tensorboardX import SummaryWriter import gym from gym imp...
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from .models import LostAndFound, Comment from django import forms class CommentForm(forms.ModelForm): #text = forms.TextInput(label = '댓글') class Meta: model = Comment fields = ['comment_writer', 'comment_text']
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"""empty message Revision ID: cdf84c62b8b6 Revises: Create Date: 2019-04-17 02:42:36.886679 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'cdf84c62b8b6' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto gene...
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import os import logging from logging import handlers from pathlib import Path from . import settings, names logger = logging.getLogger('htmap') LOGS_DIR_PATH = Path(settings['HTMAP_DIR']) / names.LOGS_DIR def setup_internal_file_logger(): LOGS_DIR_PATH.mkdir(parents = True, exist_ok = True) LOG_FILE = LOG...
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from __future__ import absolute_import, division, print_function, unicode_literals from numpy import genfromtxt import pyrenn as prn import csv import time from statistics import mean import psutil import functools import pandas as pd import numpy as np import tensorflow as tf import os from tensorflow import keras co...
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from sklearn.svm import SVC from sklearn.externals import joblib import numpy as np import tkinter import tkinter.filedialog import dlib import cv2 import sys import os import random from PIL import Image, ExifTags from src.face import Face FACE_DATASET = "crop" TRAIN_DATASET = "train" TEST_DATASET = "test" class ...
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from __future__ import print_function import webbrowser import neuroglancer viewer = neuroglancer.Viewer() with viewer.txn() as s: s.layers['image'] = neuroglancer.ImageLayer( source='precomputed://gs://neuroglancer-public-data/flyem_fib-25/image', ) s.layers['ground_truth'] = neuroglancer.Segme...
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# Ensures paho is in PYTHONPATH import context # Importa o publish do paho-mqtt import paho.mqtt.publish as publish # Publica publish.single("mgstigger", "Olá Mundo!", hostname="mqtt.eclipse.org")
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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may...
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"""summarypython URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class...
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