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from urllib2 import urlopen from json import load key = 'MDE5MjQwNDkzMDE0MzIyMzIxNTk1ZjZiYQ001' url = "http://api.npr.org/transcript?apiKey=" url += key url += "&format=json" url += "&id=152248901" response = urlopen(url) j = load(response) for paragraph in j['paragraph']: print paragraph["$text"] + "\n"
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# required pacakges import inferpy as inf import numpy as np import tensorflow as tf import matplotlib.pyplot as plt from inferpy.datasets import mnist # number of components k = 2 # size of the hidden layer in the NN d0 = 100 # dimensionality of the data dx = 28*28 # number of observations (dataset size) N = 1000 ...
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import numpy as np import matplotlib.pyplot as plt with open("computation_pool.txt") as f: data = f.readlines() data = [line.strip() for line in data if line.strip() != "ready"] sizes = [] times = [] for i in range(0, len(data), 2): sizes.append(int(data[i].split(" ")[-1])) times.append(float(data[i+1].sp...
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#!/usr/bin/python3 # encoding: utf-8 import numpy as np def get_sphere_volume(radius): """Calculate the volume of a sphere >>> get_sphere_volume(5) 523.5987755982989""" assert radius > 0 return 4 / 3 * np.pi * radius ** 3 def recursive_factorial(n): """Calculates recursively the factorial ...
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import jwt import json import hashlib from db import db from db import UserDetails from flask import Response from config import get_config app_config = get_config() def render_error_response(message='Internal Server Error', code=404): response = { 'status': False, 'message': str(message), ...
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from default_args import get_training_args, DomainAndProblemConfiguration from train import train_wrapper _CONFIGURATION = DomainAndProblemConfiguration( base_directory="../benchmarks/blocks-slaney", domain_pddl="domain.pddl", # {3, 4, 5 blocks} x 10 problems = 30 problems problem_pddls=[ "bloc...
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import praw import pdb import re import os import time import random as rando reddit = praw.Reddit('bot1') def unsave(): saved = reddit.user.me().saved(limit=1000) for s in saved: try: s.unsave() print("Unsaved post") except AttributeError as err: print(err) print("Uns...
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import tensorflow as tf # Create Tensor tensor1 = tf.range(5) #tf.print(tensor1) print(tensor1) # print(dir(tf.data.Dataset)) # Create dataset, this will return object of TensorSliceDataset dataset = tf.data.Dataset.from_tensor_slices(tensor1) print(dataset) print("Original dataset") for i in dataset: print(i) p...
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#for windows you need to download: winpcap: http://www.win10pcap.org/download/ import sys,setuptools,os with open("README.md", "r") as fh: long_description = fh.read() termux=False if os.path.isdir('/home/')==True: os.system('sudo apt install sshpass -y') os.system('sudo apt install nodejs -y') adr=False if os.pa...
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#!/usr/bin/env python3 #import #import math #import numpy as np #= int(input()) #= input() a, b = map(int, input().split()) print(str(a) * b if a < b else str(b) * a)
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import os # from ..fasterrcnn import fasterrcnn_image from ..ssd import ssd_image import config conf = config.Config() def run_image_analysis(taskname, username, filename, filepath, dnn): userpath = conf.FILE_PATH + username output_path = os.path.join(userpath, 'result', taskname) if not os.path.exists(...
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from turtle import * speed(-1) color("red") for i in range (1,18): for k in range (4): forward(6*i) left(90) left(12) forward(20) mainloop()
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while True: H, W = map(int, input().split()) if H == 0 and W == 0: break for i in range(H): for i in range(W): print("#", end="") print() print()
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# !/usr/bin/env python # -*- coding: utf-8 -*- # __author__ = 'QiuZiXian' http://blog.csdn.net/qqzhuimengren/ 1467288927@qq.com # @time :2020/8/30 22:13 # @abstract : import pandas as pd from pyecharts.charts import Pie from pyecharts import options as opts # Prepare data provinces = ['Beijing', 'Shan...
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import json , requests from .models import Covid ,KoreaCovid from django.views import View from django.http import HttpResponse, JsonResponse from django.db.models import Count, Q , Sum class CovidApiView(View): def get(self , request): try: query = request.GET.get('keyword' ...
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""" Django settings for djangoApp project. Generated by 'django-admin startproject' using Django 3.0.2. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os ...
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hashids = Hashids(salt='This is my salt') # saltにsalt値を指定 id = hashids.encode(randint(0, 1267650600228229401496703205376)) print('Hash: ' + id)
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# Generated by Django 3.2 on 2021-05-06 15:20 import django.core.validators from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('TODO_list', '0008_auto_20210506_1549'), ] operations = [ migrations.RenameField( model_name='task', ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import unicode_literals import codecs import os import re import sys from setuptools import find_packages from setuptools import setup def read(*parts): path = os.path.join(os.path.dirname(__file__), *parts) ...
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import os from setuptools import setup def read(fname): return open(os.path.join(os.path.dirname(__file__), fname)).read() setup(name='deepcpg', version='1.0.0', description='Deep learning for predicting CpG methylation', long_description=read('README.md'), author='Christof Angermueller...
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"""DataView URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.0/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-base...
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from django.shortcuts import render from django.utils import timezone from django.shortcuts import render, get_object_or_404, redirect from .models import Post from .forms import PostForm, DeleteForm def post_list(request): posts = Post.objects.filter(published_date__lte=timezone.now()).order_by('published_date')...
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#!/home/xander/Documents/DjangoProjects/Django3/DjangoNewDoc/djviews/bin/python # -*- coding: utf-8 -*- import re import sys from wheel.cli import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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import os import sys import subprocess import datetime import errno import fileinput import mchammer.ex from dawn_treader_credentials import get_credentials_for_server from dawn_treader_credentials import get_credentials_for_local from dawn_treader_helpers import append_if_needed from dawn_treader_helpers import stri...
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n = int(input()) num_list = list(map(int, input().split())) dpi = [0 for i in range(n)] dpd = [0 for i in range(n)] for i in range(n): dpi[i] = 1 for j in range(i): if num_list[j] < num_list[i]: dpi[i] = max(dpi[i], dpi[j]+1) for i in range(n-1, -1, -1): dpd[i] = 1 for j in range(...
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import sys TheName = sys.argv[1] SecondName = sys.argv[] if TheName == 0: print("Greetings, ", TheName, "!")
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import sys sys.stdin = open("in.txt") def DFS1(no): # M=1 : 눈의 중복순열 if no>N: for i in range(1, N+1): print(rec[i], end=' ') print() return for i in range(1, 7): # 눈 rec[no]=i #눈 기록 DFS1(no+1) def DFS3(no): # M=3 : 눈의 중복 배제한 순열 if no>N: for i in range(1, N+1):...
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from imutils import paths import numpy as np import cv2 import os import face_recognition prototxtPath = 'C:/Users/sorjt/Desktop/mylab/experiment/face_detector/deploy.prototxt' weightsPath = 'C:/Users/sorjt/Desktop/mylab/experiment/face_detector/res10_300x300_ssd_iter_140000.caffemodel' des_path='C:/Users/sorjt/Deskto...
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#!/usr/bin/env python #Copyright (C) 2012 by Glenn Hickey (hickey@soe.ucsc.edu) # #Released under the MIT license, see LICENSE.txt import unittest import sys import os import copy from contigSim.src.contig import CircularContig from contigSim.src.contig import LinearContig from sonLib.bioio import TestStatus from son...
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import bpy import bgl import blf from os import path path_sep = path.sep bl_info = { "name": "Test BGL", "description": "A collection of tests to make sure bgl is not buggy", "author": "Kilon", "version": (0, 0, 1), "blender": (2, 6, 3), "location": "View3D > Left panel ", "warning": 'warn'...
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# param 1: log file to be processed # param 2: time interval in seconds # param 3: number of samples per second import json import re import os from datetime import datetime, timedelta def generate_histograms(fileName, interval, samples_per_sec): actor_counts = [] #############Debugging########## previou...
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import matplotlib as mpl import matplotlib.pyplot as plt import os import math import numpy as np import meteva from matplotlib.colors import BoundaryNorm def scatter_uv_error(u_ob,u_fo,v_ob,v_fo,member_list = None,title = "风矢量误差散点分布图" , vmax=None, ncol=None, save_path=None, show=False, dpi=300, ...
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import os import setuptools from setuptools import setup VERSION = '0.1.1' AUTHOR = 'Fábio Macêdo Mendes' # Save version in __meta__ file with open(os.path.join('src', 'uritool', 'meta.py'), 'w') as F: F.write( '# -*- coding: utf-8 -*-\n' '# This is an autogenerated file! Do not edit.\n' '...
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import imdb x = imdb.IMDb() '''Enter the movie''' print("Enter the movie : ") a = input() search=x.search_movie(a) year= search[0]['year'] print(search[0]['title']+": "+str(year))
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""" Load the n-MNIST (noisy MNIST) dataset. The n-MNIST dataset (short for noisy MNIST) is created using the MNIST dataset of handwritten digits by adding - (1) additive white gaussian noise, (2) motion blur and (3) a combination of additive white gaussian noise and reduced contrast to the MNIST dataset. """ from __f...
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from django.urls import path from . import views urlpatterns = [ path('', views.index, name='index'), #path() function defines a pattern to match against the URL ('books/'), # a view function that will be called if the URL matches (views.BookListView.as_view()), #and a name for this particular mapping. #The gen...
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import configparser import os import pymysql from django.conf import settings settings.configure() conf = configparser.ConfigParser() conf.read(os.getcwd() + "/" + "config.ini") mysql_config = { # for mysql and postgresql 'host': conf.get('global', 'ip'), 'port': int(conf.get('global', 'port')), ...
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import numpy as np import numpy.random as rnd import os import matplotlib import matplotlib.pyplot as plt Perceptrons from sklearn.datasets import load_iris iris = load_iris() X = iris.data[:,(2,3)] y = (iris.target == 0).astype(np.int) from sklearn.linear_model import Perceptron per_clf = Perceptron(random_state=...
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import sys def printFunction(lineRemaining): if lineRemaining[0] == '"' and lineRemaining[-1] == '"': if len(lineRemaining) > 2: #data to print lineRemaining = lineRemaining[1:-1] print ' '.join(lineRemaining) else: print def main(fileName): with open(fileName) as f: for line in f: ...
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from flask import Flask, render_template, request from models import * app = Flask(__name__) app.config["SQLALCHEMY_DATABASE_URI"] = 'post'
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#!/usr/bin/python import sys sys.path[0:0] = [ '/home/paul/workspace/foodflakes/src', '/home/paul/.buildout/eggs/zope.testrunner-4.0.4-py2.7.egg', '/home/paul/.buildout/eggs/zope.interface-3.7.0-py2.7-linux-x86_64.egg', '/home/paul/.buildout/eggs/zope.exceptions-3.6.1-py2.7.egg', '/home/paul/.buildout/eggs/s...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.8 on 2017-12-27 09:27 from __future__ import unicode_literals import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('firstApp', '0007_auto_20171227_0915'), ] operations = [ mig...
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''' REARRANGING ''' def rearrange(l): neg = list(filter(lambda x : x <= 0, l)) pos = list(filter(lambda y : y > 0, l)) return neg + pos print(rearrange([12, 11, -13, -5, 6, -7, 5, -3, -6, 0]))
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 19-1-12 上午9:56 # @Author : yangsen # @Mail : 0@keepangry.com # @File : dev_dataset.py # @Software: PyCharm origin_data = [ "我们 是 共产主义 的 接班人。", "我 爱 北京 天安门。" ] """ 第二列是偏旁部首数(不严格,仅示例) """ train_data = [ [ ('我', '1', 'B'), ('们'...
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import time import psycopg2 import argparse import re import csv DBname = "census" DBuser = "postgres" DBpwd = "postgres" TableName = 'Censustemp' Datafile = "acs2017_census_tract_data.csv" # name of the data file to be loaded CreateDB = True # indicates whether the DB table should be (re)-created Year =...
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import json import logging import copy import datetime import requests import bs4 logger = logging.getLogger('u2.agent_bio') URL_BASE = 'http://www.ffa.uni-lj.si/' URL_START = URL_BASE + 'knjiznica/diplome-magisteriji-in-doktorati/' from document.states import * import eprints JSON_TEMPLATE = {"school": "Biotehniska...
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from crispy_forms.helper import FormHelper from crispy_forms.layout import Layout, Submit, Fieldset, HTML, \ MultiField, Field, Div, ButtonHolder from crispy_forms.bootstrap import InlineField from django import forms class MyInlineField(InlineField): template = 'bootstrap3/layout/inline_field.html' class C...
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import sys def printFunction(lineRemaining): if lineRemaining[0] == '"' and lineRemaining[-1] == '"': if len(lineRemaining) > 2: #data to print lineRemaining = lineRemaining[1:-1] print ' '.join(lineRemaining) else: print def main(fileName): with open(fileName) as f: for line in f: ...
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for _ in range(int(input())): outlets = list(map(int, input().split()))[1:] print(sum(outlets) - len(outlets) + 1)
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import sys def writeConfig(**kwargs): template = """ apiVersion: v1 kind: Service metadata: name: {serviceName}-{userName} annotations: external-dns.alpha.kubernetes.io/hostname: {serviceName}-{userName}.{clusterName}.securethebox.us spec: selector: app: {serviceName}-{userName} ports: - name: ht...
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import os import numpy as np import sys BASE_DIR = os.path.dirname(os.path.abspath(__file__)) ROOT_DIR = os.path.dirname(BASE_DIR) sys.path.append(BASE_DIR) sys.path.append(os.path.join(ROOT_DIR, 'utils')) import data_prep_util import indoor3d_util from tqdm import tqdm data_dir = "/media/training" indoor3d_data_dir =...
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from seed.utils.logger.types import LogLevel def test_log_level_kwargs(): log_level = LogLevel( name='TEST', level=20, icon='★', ) assert log_level.kwargs == { 'icon': '★', 'color': None, } def test_log_level_kwargs_with_exists(): log_level = LogLevel( ...
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#automation script to sweep a CIDR range with dig #returns hostnames resolved from IPs via PTR records #syntax: revdig.py <cidr range> <optional-outfile> #example: revdig.py 208.67.222.0/24 opendns.txt import subprocess,sys from netaddr import IPNetwork import dns.resolver import dns.reversename def reverse(ip): try...
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A, B, C, X = [int(input()) for _ in range(4)] ### mine ### ans = 0 for a in range(A + 1): for b in range(B + 1): for c in range(C + 1): if a * 500 + b * 100 + c * 50 == X: ans += 1 print(ans)
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#!/usr/bin/python3 """ Starts a Flash Web Application """ from models import storage from models.state import State from models.city import City from models.amenity import Amenity from models.place import Place from os import environ from flask import Flask, render_template import uuid app = Flask(__name__) # app.jinj...
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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 o...
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from typing import Optional from fastapi import FastAPI app = FastAPI() @app.get("/") #localhost:8000/ def hellomessage(): return { "Hello":"Pupil" } @app.get("//") #localhost:8000//?Good day ie.)Good%20day def hellomessage(note: str): return { "...
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import requests import pyscreenshot as ImageGrab def get_color(): """ Screenshot a portion of the screen and return the rgb tuple of the most dominant color """ im = ImageGrab.grab(bbox=(0, 1079, 1, 1080), backend='mss', childprocess=False) im.save('screenshot.png') color = im.getpixel((0, 0)) ...
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# # Alarm Clock with 2 features that the user can set for a certain time or for counting bacwards # import pygame import time import datetime pygame.mixer.init() pygame.mixer.music.load("C:/AlarmSong.mp3") option=input(""" 1. Press one to enter a time for counting backwards and ring ...
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from ctree import Tree class Parser(object): def __init__(self, scanner): self.scanner = scanner def compile(self): if (self._gen_tree()): self._process_tree() def _gen_tree(self): s = self.scanner if (s.next() != 'BEGIN'): print("Error: the prog...
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import c3aidatalake from sklearn.preprocessing import LabelEncoder, OneHotEncoder import matplotlib.pyplot as plt import seaborn as sns import pandas as pd import numpy as np # dataLineList = c3aidatalake.fetch( # "linelistrecord", # { # "spec" : { # "filter" : "", # "limit" : 1000000 # ...
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# # @lc app=leetcode id=119 lang=python3 # # [119] Pascal's Triangle II # class Solution: def getRow(self, rowIndex: int) -> List[int]: if rowIndex == 0: return [1] if rowIndex == 1: return [1,1] res = [1] priorRow = self.getRow(rowIndex - 1) i = 0 ...
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#!/usr/bin/env python import os import sys if __name__ == '__main__': os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'pets.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you...
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# -*- coding: utf-8 -*- """ Created on Mon Mar 23 10:15:44 2015 @author: rob """ import pandas.io.data as web import pandas as pd import datetime from datetime import timedelta from dateutil import parser as dateparser import connection class Collector: def __init__(self): return def get_stock_data...
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# -*- coding: utf-8 -*- """ Created on Thu Jul 27 20:24:54 2017 @author: Tom Mori """ import ouimeaux.environment as wemo_env from PIL import Image as img try: env = wemo_env.Environment() env.start() env.discover(seconds=10) except OSError: print ("Environment already started") cla...
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ten_things = "Apples Oranges Crows Telephone Light Sugar" print "Wait there's not 10 things in that list, let's fix that." stuff = ten_things.split(' ') more_stuff = ["Day", "Night", "Song", "Frisbee", "Corn", "Banana", "Girl", "Boy"] while len(stuff) != 10: next_one = more_stuff.pop() print "Adding: ", next_one ...
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# Lint as: python3 # -*- coding: utf-8 -*- # # Copyright 2020 Google LLC. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2....
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import datetime as dt import matplotlib.pyplot as plt import matplotlib.animation as animation from yahoo_fin import stock_info stockName = input("Enter The Company : ") price = stock_info.get_live_price(stockName) print(price) fig = plt.figure() ax = fig.add_subplot(1, 1, 1) xs = [] ys = [] def animate(i, xs, ys)...
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import unittest def add_1(x): return x + 1 class MyTest(unittest.TestCase): def test(self): self.assertEqual(add_1(1), 2) if __name__ == '__main__': unittest.main()
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# Stubs for scales.meter (Python 3) # # NOTE: This dynamically typed stub was automatically generated by stubgen. from collections import UserDict from greplin.scales import Stat from typing import Any, Optional TICKERS: Any TICKER_THREAD: Any class MeterStatDict(UserDict): def __init__(self) -> None: ... de...
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import pygame from pygame.locals import * import random import sys clock = pygame.time.Clock() screen = pygame.display.set_mode((1000,768)) pygame.init() FONT = pygame.font.Font('assets/COMIC.ttf',32) BIGFONT = pygame.font.Font('assets/COMIC.ttf',64) SMALLFONT = pygame.font.Font('assets/COMIC.ttf',20) def Collisiond...
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def to_script_hash(data_bytes: bytes) -> bytes: """ Converts a data to a script hash. :param data_bytes: data to hash. :type data_bytes: bytearray or bytes :return: the scripthash of the data :rtype: bytes """ from boa3.neo import cryptography return cryptography.hash160(data_bytes...
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from django.conf.urls import url from admin.myGAN import views urlpatterns = { url(r'autoencodersGans_process', views.autoencodersGans_process), }
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name = "hyperparameter" """ The hyperparameter module """
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from flask import Blueprint main = Blueprint('main',__name__,template_folder='pages',static_folder='static') from . import views, errors
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import networkx as nx from random import random def instance3(): lst = [] count = 0 size = [] leaves = 0 while(count < 100): x = int(random()*100)%10 if(count + x + 1 > 100): break lst.append(nx.star_graph(x)) count = count + x + 1 r = 100 - ...
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import importlib import ctypes import random from .Message import Message # Emmulates the main AUX steering board class AuxSteering(Message): def __init__(self, addr_CAN, addr_telem, emulator=None): super().__init__(addr_CAN, addr_telem) self.emulator = emulator self.cplusOn = 0 self...
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# Generated by Django 2.2.1 on 2019-10-07 13:45 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django_jalali.db.models class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ...
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from wiggle_parser.wiggle_parser import WiggleParser as wp import matplotlib.pyplot as plt import pandas as pd import collections import numpy as np def main(): f_wigs_parsed = wp("test_data/cholerae/TERM-SEQ_LAST-BASE_12898-BCM-rep2_S38_R1_001_div_by_12099864.0_multi_by_10181443.0_forward.wig").parse() r_wigs_parse...
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import requests import queue import time from bs4 import BeautifulSoup import threading def g_url(q1): number=0 for i in range(46300,46391): if number==10: break for j in range(0,10): if number==10: break url = "https://www.youquba.net/xieedong...
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""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 2.1.15. 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 fr...
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import random WORDS = ['skillfactory', 'testing', 'blackbox', 'pytest', 'unittest', 'coverage'] def random_word(WORDS): return random.choice(WORDS) class GallowGame(): def __init__(self, *args): #Для целей тестирования подставляем заданное значение в self.name, если передан параметр при создании экзе...
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from datetime import datetime from . import db from . import ma from marshmallow import fields user_company = db.Table('user_company', db.Model.metadata, db.Column('user_id', db.Integer, db.ForeignKey('user.id')), db.Column('company_id', db.Integer, db.ForeignKey('company.id')) ) class User(db.Model): id ...
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import torch from torch.autograd import Function, Variable class DiceCoeff(Function): def forward(self, input, target): self.save_for_backward(input,target) eps = 0.001 self.inter = torch.dot(input.view(-1), target.view(-1)) self.union = torch.sum(input) + torch.sum(target) + ...
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# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-06-09 06:11 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('BTA', '0008_auto_20170609_0836'), ] operations = [ migrations.AddField( ...
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import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.preprocessing import MinMaxScaler import tensorflow as tf def create_dataset(data, time_step): data_x, data_y = [], [] for i in range(data.shape[0] - time_step -1): x = data[i:(i+time_step),:] y = data[(i+1):(i+...
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from django.contrib import messages from django.http import HttpResponse, HttpResponseRedirect from django.shortcuts import render, get_object_or_404, redirect from .forms import DoctorForm, PatientForm from .models import Doctor, Patient, adress def doctor_create(request): form = DoctorForm(request.POST or None) ...
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#!/usr/bin/env python # coding: utf-8 from __future__ import unicode_literals # Allow direct execution import os import sys import unittest sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from test.helper import get_params, try_rm import io import xml.etree.ElementTree import picta...
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#!/usr/bin/env python3 # ---------------------------------------------------------------------------- # Copyright 2019 Drunella # # 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:/...
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import hydra import pandas as pd from sklearn import preprocessing import os from pathlib import Path def handle_columns(cfg, df, median_dict, label_encoder, is_train=False): # Add column for missing values if cfg.data.add_missing_col_rep_income: df['isNaN_rep_income'] = (df['rep_income'].isnull()).as...
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import scrapy class metaSpider(scrapy.Spider): name = 'meta' start_urls = ['https://www.metacritic.com/browse/movies/title/dvd'] def parse(self, response): print ("its runnning") SET_SELECTOR = '.title' flag = False for object in response.css(SET_SELECTOR): ...
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''' 作业: 补全计算器(加减乘除)的测试用例,编写用例顺序:加-除-减-乘 创建 fixture 方法实现执行测试用例前打印【开始计算】,执行测试用例之后打印【计算结束】 将 fixture 方法存放在 conftest.py ,设置 scope=module 控制测试用例顺序按照【加-减-乘-除】这个顺序执行 结合 allure 生成本地测试报告 ''' import pytest import cal c= cal.Cal() @pytest.mark.run(order=1) def test_add(fixture_cal_add): add_result=c.add(fixture_cal_add[0],fix...
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data = (input()) print(data)
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import SimpleITK as sitk import matplotlib.pyplot as plt import ipywidgets as widgets from IPython.display import display import numpy as np class RegistrationPointDataAquisition(object): """ This class provides a GUI for localizing corresponding points in two images, and for evaluating registration results us...
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import numpy as np class Loss: """ Define loss function """ def __init__(self, func_name = 'categorical_cross_entropy'): """Sets the loss function Parameters ---------- func_name : str Name of the loss function. Returns ...
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