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# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2018-07-24 02:48 from __future__ import unicode_literals import datetime import django.contrib.auth.models import django.contrib.auth.validators from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): in...
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from django.views import generic from .models import Student, Detail, Score from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.core.urlresolvers import reverse_lazy from django.views.generic import TemplateView #Restframworks from rest_framework.response import Response from rest_fram...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # baza.py import csv import sqlite3 def czytaj_dane(plik, separator=","): dane = [] # pusta lista na rekordy with open(plik, 'r', newline='', encoding='utf-8') as plikcsv: tresc = csv.reader(plikcsv, delimiter=separator) for rekord in tresc: ...
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import sys __author__ = 'Desmond' # Please visit http://selenium-python.readthedocs.org/en/latest/index.html for detailed installation and instructions import unittest import csv from selenium import webdriver class SeleniumCBT(unittest.TestCase): def setUp(self): caps = {} caps['name'] = 'Sel...
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""" Rohan is learning about Binary search Trees.He went through a task as follows: Given an array arr[] of N integers. The task is to count the number of Binary Search Tree can be made using each node of element in arr[] as a root node. Input: Firstline contains size of array N Next line contains elements of array ...
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import requests from bs4 import BeautifulSoup from urllib.parse import urljoin # Setting the user name and password USER = "1095287" PASS = "h110622" # Start a settion session = requests.session() # Loggin login_info = { "uid":USER, "pw":PASS, "_csrf":"f28e34c1-6ad6-462c-b518-86cf4c23d298", "password...
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# coding: utf-8 """ Onshape REST API The Onshape REST API consumed by all clients. # noqa: E501 The version of the OpenAPI document: 1.104 Contact: api-support@onshape.zendesk.com Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six class BTShade...
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# -*- coding: utf-8 -*- import re import rsa import socket from ServerC import * class ClientA: def __init__(self, name='client_a', ip='127.0.0.1', port=6666, **kwargs): assert re.match(r"^(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$" ,...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Author : classmate Lin. # @Email : 406728295@qq.com # @File : tasks.py # @Time : 18-10-8 下午2:42 ''' 异步任务 ''' from __future__ import absolute_import, unicode_literals from app.celery.celery import cel_app @cel_app.task def say_hi(): print('hello world')
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from django.shortcuts import render, redirect from django.contrib.auth.hashers import check_password from django.views import View from store.models.customer import Customer from store.models.product import Product from store.models.order import Order class Checkout(View): def post(self,request): address=r...
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# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or...
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__author__ = 'av' import numpy def read_fasta(path): records = list() labels = list() current_long_string = "" current_id = "" with open(path, 'r') as f: for line in f: if is_id(line): if current_long_string != "": records.append(current_long...
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from django.conf.urls import url from . import views urlpatterns= [ #URLS PROFESSOR url(r'^professor/$', views.indexProfessor , name='index'), # url(r'^professor/create/$', views.createProfessor, name='create'), url(r'^professor/edit/(?P<id>\d+)$', views.editProfessor, name='edit'), url(r'^professo...
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# -*- coding: utf-8 -*- # Generated by Django 1.9.11 on 2016-11-14 11:38 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_depende...
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age = 12 if age < 4: print("Your admission cost is $0.") elif age < 18: print("Your admission cost is $25.") else: print("Your admission cost is $40.") age = 12 if age < 4: price = 0 elif age < 18: price = 25 else: price = 40 print(f"Your admission cost is ${price}.") age = 12 if age < 4: ...
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# mcx setting equivalence test # ajohnson - 2014 - 2 11 from __future__ import division import sys # use ard to send a unix command: mcxquery -computerOnly # to all the computers that you want to compare mcx values for # export the command results as a text file, that will be the input infile = open(sys.argv[1], 'r'...
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import numpy as np from mpl_toolkits.mplot3d import axes3d import matplotlib as mpl import matplotlib.pyplot as plt DATA_RES = 200 VIZ_RES = 400 BASE_PLANE = -5 COLOR_MAP = mpl.cm.coolwarm if __name__=='__main__': domain = np.linspace(-1,1,DATA_RES)**3 domain_size = len(domain) #colormap = mpl.colors...
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# 문제 # 검문 # https://www.acmicpc.net/problem/2981 # 풀이 from sys import stdin N = int(stdin.readline()) M = [int(stdin.readline()) for i in range(N)] M.sort() tmp = M[-1] - M[0] y = [] for i in range(2, int(tmp**0.5)+1): if tmp % i == 0: y.append(i) if tmp//i not in y: y.append(tmp/...
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import requests import json # Removes a region of an image and collapses the image to occupy the removed portion. # https://pixlab.io/#/cmd?id=chop for more info. req = requests.get('https://api.pixlab.io/chop',params={'img':'http://www.allaboutbirds.org/guide/PHOTO/LARGE/blue_jay_8.jpg','height':20,'x':45,'y':72,'key'...
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# -*- coding: utf-8 -*- # 开发中........ from urllib import parse,request import requests import json headers = { 'Accept' : '*/*', 'Accept-Language' : 'zh-CN,zh;q=0.8', 'Cache-Control': 'max-age=0', 'Upgrade-Insecure-Requests' : '1', 'content-type': 'text/plain;charset=UTF-8', 'User-Agent': 'Mozi...
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import socket import threading import time class Tello(object): """ Wrapper class to interact with the Tello drone. """ def __init__(self, local_ip, local_port, imperial=False, command_timeout=.3, tello_ip='192.168.10.1', tello_port=8889): "...
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from hero_tmpl import create_app if __name__ == "__main__": #TODO: make configurable string print "Starting Server." app = create_app() import os # Bind to PORT if defined, otherwise default to 5000. port = int(os.environ.get('PORT', 5000)) app.run(host='0.0.0.0', port=port) print "App Im...
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#!/usr/bin/env python # -*- coding: utf-8 -*- ############################################################################### # Copyright 2013 Kitware 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 cop...
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from kipoi.model import BaseModel from keras.models import load_model from keras.layers import Layer from keras import backend as K import tensorflow as tf import numpy as np class Xpresso(BaseModel): def __init__(self, weights): self.nuc_dict = {'A':[1 ,0 ,0 ,0 ],'C':[0 ,1 ,0 ,0 ],'G':[0 ,0 ,1 ,0 ...
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# Generated by Django 3.1.1 on 2020-09-30 04:47 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('Store', '0006_orders_email'), ] operations = [ migrations.RemoveField( model_name='orders', name='user_profile...
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# Ranorex Webtestit Test File from utils.base_test import BaseTest from pageobjects.items_overview_po import ItemsOverviewPo class Tc2(BaseTest): def test_fast_checkout(self): driver = self.get_driver() # Open the page overview = ItemsOverviewPo(driver).open( "https://demosho...
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#!/usr/bin/env python3 from pde import UnitGrid, ScalarField, DiffusionPDE grid = UnitGrid([16, 16], periodic=[False, True]) # generate grid state = ScalarField.random_uniform(grid, 0.2, 0.3) # generate initial condition # set boundary conditions `bc` for all axes bc_x_left = {'type': 'derivative', 'value': 0.1} ...
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import os import csh import lo # define data set datadir = os.getenv('CSH_DATA') #filenames = [datadir + '/1342184598_red_PreparedFrames.fits[5954:67614]', # datadir + '/1342184599_red_PreparedFrames.fits[5954:67615]'] filenames = [datadir + '/1342184598_red_PreparedFrames.fits', datadir + '/1...
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from data import * thislevel=load_save_4 base= 'nn4' import os,time,argparse,random,sys parser = argparse.ArgumentParser() parser.add_argument('-gpu', type=int, default=0) parser.add_argument('-acq', type=str, default=random.choice(['poi'])) parser.add_argument("--verbose", action="store_true") parser.add_a...
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from PyQt4 import QtGui, QtCore from PyQt4.QtCore import pyqtSignal from PyQt4.QtCore import pyqtSlot import sys,os #import view import numpy as np sys.path.append("\\\\apclara1\\ControlRoomApps\\Controllers\\bin\\stage\\") #sys.path.append("\\\\apclara1\\ControlRoomApps\\Controllers\\bin\\stage\\Python3_x64\\") #sys....
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#!/usr/bin/env python #----------------------------------------------------------------------------------------------------------------------- # INFO: #----------------------------------------------------------------------------------------------------------------------- """ Author: Evan Hubinger License: Apache 2.0 ...
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#!/usr/bin/env python import sys import os import time import simplejson as json blob = json.loads(sys.stdin.read()) for prob in blob['problems']: print 'Problem', str(prob['problem_id']) os.system('.cabal-sandbox/bin/icfpc2016-zhmppxm ' + ' <probs/' + str(prob['problem_id']) + '-' + prob['problem_spec_hash'...
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#Saves a historgram of each variable to png files import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #read data data = pd.read_csv("irisDataSet.csv") #names of variables names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species'] # sepe...
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import yt from yt.units import * from yt.mods import * import load_dataset as ld import nearest_halo as nh import star as s code='enzo' z=1.0 halo=54 ds = ld.load_data(code, z) sphere_center=nh._center_of_mass(code,z,halo) radius=nh._radius(code,z,halo) sp = ds.sphere(sphere_center, (int(radius), "kpc")) dd = sp.quant...
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#!/usr/bin/env python #coding=utf-8 from multiprocessing import Pool from time import sleep from ga1 import * def main(): pool = Pool(processes=20) # set the processes max number 3 sc = sc_get() for i in sc: result = pool.apply_async(get_result, i) pool.close() pool.join() if result...
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from django.shortcuts import render from django.http import HttpResponse # Create your views here. def home(request, *arg, **kwargs): url = 'app/home.html' context = { } tekst = "dasdasd" context['tekst']=tekst #return HttpResponse("LoveMonika") return render(request,url,context)
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import pandas as pd import numpy as np import matplotlib.pyplot as plt fig, axs = plt.subplots(ncols=2,sharex=True) nombre_fichero="basesDeDatos/diabetes.csv" data = pd.read_csv(nombre_fichero) data.groupby("class").plas.hist(alpha=0.4, ax=axs[1]) axs[1].set_title('Histograma sin normalizar') data.groupby("class").p...
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import numpy as np import matplotlib.pyplot as plt import json #折线图 # 一共20天 6.20-7.5 有些天掉出榜单 with open("test_data.json", "r", encoding='UTF-8') as f: temp = json.loads(f.read()) index_1 = 1 for i in temp.keys(): x = [] y = [] print(i) print(temp[i]) if(len(temp[i])<10...
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#!/usr/bin/env python # coding=utf-8 from matplotlib import pyplot import numpy as np import csv samplerate = 44100 period = 1/float(samplerate) f = open('sample-data.csv') y = np.empty((1)) time = np.empty((1)) at = float(0) for row in f: data = row y=np.append(y,float(data)) time=np.append(time, at) at = at+...
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# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2013 Red Hat, 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 # #...
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from .utils import zoho_auth import os import boto3 import json from datetime import datetime BUCKET = os.environ['BUCKET'] def main(event, context): s3 = boto3.client('s3') department_id = 'allDepartment' params = f'?department={department_id}' base_path = 'customerHappiness' path = f'{base_path}...
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import pandas as pd import re from difflib import SequenceMatcher import datetime crimes_file_path = "Crimes_Census_Final_output.csv" census_ages = "age_groups.csv" def integrate_ages_crimes(): crimes_census = pd.read_csv(crimes_file_path, nrows=50000000) crimes_census.columns = [c.replace(' ', '_') for c in...
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class Employee: 'Common base class for all employees' empCount = 0 def __init__(num,name, salary): num.new = name num.new2 = salary Employee.empCount =Employee.empCount+ 1 def display(num): print "Total Employee %d" % Employee.empCount def displayEmployee(num): ...
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from collections import deque class LRUCache: # @param capacity, an integer def __init__(self, capacity): self.capacity = capacity self.dic = {} self.q = deque() # @return an integer def get(self, key): if key in self.dic: self.q.remove(key) se...
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import numpy as np from import_catalogs import get_cat cat_small_ids, cat_z1_ids, cat_z3_ids = get_cat() vb = False # ID #BPASS_log10M*_16 BPASS_log10M*_50 BPASS_log10M*_84 #BPASS_SFR10_16 BPASS_SFR10_50 BPASS_SFR10_84 #BPASS_SFR100_16 BPASS_SFR100_50 BPASS_SFR100_84 #BPASS_A_V_16 BPASS_A_V_50 BPASS_A_V_84 #PEGASE_l...
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numbers = [1,2,3,4,5] if __name__ == '__main__' : # afficher la liste à l'écran print(numbers) # afficher à l'écran le type dela lits print(type(numbers)) # afficher l'element de la liste en position 0 print(numbers[3])
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# -*- coding: utf-8 -*- from logging import WARNING import traceback import sys if sys.version_info > (3, 0): from io import StringIO else: from StringIO import StringIO from os import stat, remove from datetime import datetime def evaluate(solver, indiv): """Evaluate the individual according to the sol...
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#!C:\Users\shadow\PycharmProjects\WebTest\venv\Scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()
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import FWCore.ParameterSet.Config as cms import HLTrigger.HLTfilters.hltHighLevel_cfi hltHM = HLTrigger.HLTfilters.hltHighLevel_cfi.hltHighLevel.clone() hltHM.HLTPaths = [ 'HLT_PAPixelTracks_Multiplicity100_v*', 'HLT_PAPixelTracks_Multiplicity130_v*', 'HLT_PAPixelTracks_...
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from django.views.generic.base import ContextMixin, TemplateResponseMixin from django.views.generic.edit import ProcessFormView from django.http import HttpResponseForbidden class MultiFormMixin(ContextMixin): form_classes = {} prefixes = {} success_urls = {} initial = {} prefix = None s...
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N = int(input()) print(int(N**2))
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# Classification template # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset dataset = pd.read_csv('Social_Network_Ads.csv') X = dataset.iloc[:, [2, 3]].values y = dataset.iloc[:, 4].values # Splitting the dataset into the Training set and Test se...
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__author__ = 'leonardo' from alascrapy.spiders.base_spiders.amazon import AmazonReviewsSpider class AmazonUkReviewsSpider(AmazonReviewsSpider): name = 'amazon_uk_reviews' start_url_format = "https://www.amazon.co.uk/product-reviews/%s/ref=cm_cr_dp_see_all_btm?ie=UTF8&showViewpoints=1&sortBy=recent" date_f...
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# Generated by Django 2.2.7 on 2019-12-01 05:49 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='stuinfo', fields=[ ('id', models.AutoField(...
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from typing import Union, Tuple class Structure(object): def __init__(self): pass def set_slot(self, slot : 'Slot') -> None: pass def is_slot(self, slot : 'Slot') -> bool: return False def get_value(self) -> Tuple[int, int]: return (0, 0) def last(self) -> Uni...
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"""Eshop URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.1/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-based v...
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from tkinter import * root=Tk() root.geometry("800x500") root.title("Manus In Tkinter") #function def function1(): print("New file created") def function2(): print("Opening a file") def function3(): print("File saved") def function4(): print("File Coppied") def function5(): print("File...
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import mrl import torch from typing import Callable import os import pickle import dill class PytorchModel(mrl.Module): """ Generic wrapper for a pytorch nn.Module (e.g., the actorcritic network). These live outside of the learning algorithm modules so that they can easily be shared by different modules (e.g....
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#!/usr/bin/env python3 # Copyright (c) 2019 The OPCX developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. ''' Covers the scenario of a PoS block where the coinstake input prevout is already spent. ''' from time import sleep...
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import torch import torch.nn as nn import torch.nn.functional as F import torchvision from torch.utils.data import Dataset import h5py import numpy as np from glob import glob import os from skimage import io from PIL import Image import matplotlib.pyplot as plt from skimage import io from torchsummary import summary ...
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def encoder(key, line): key = list(key) l = len(key) li = list(line) line = "" keyplace = 0 for ch in range(len(li)): if li[ch] == " ": line += " " else: c= ord( key[keyplace%l].lower() ) - 96 if (ord(li[ch].lower()) + c-1) > 122: ...
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def f(): x = 1 i = 0 while i < x: yield i i += 1 def test(): f.x = 5 ff = f ff.x = 5 g = ff() # g.x = 2 res = list(x for x in g) assert len(res) == 1
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import torch import mido.midifiles.tracks as mitracks from mido import MidiFile, MidiTrack, Message, MetaMessage import copy import numpy as np # OLD VERSION OF midi2roll.py. Converts to and from a "note array" format instead of tensors. # Not deleting in case I find a use for this. ''' MIDI <-> JNN converter f...
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# Cherry Pie.py # 11/30/2018 # Developed by Louie Padilla """ Loop through main folder directory. For each file in a folder rename file to folderName_snapshot_#.jpg """ # Import modules import os from shutil import move ###############################################################################...
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#!/Users/Mammoth/github/scraper/spring2018-cp-group-436839-437632/python/python_env/bin/python3.6 # -*- coding: utf-8 -*- import re import sys from flask.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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# -*- coding: UTF-8 -*- from abc import ABC class AbstractAdapter(ABC): def __setup__(self, parent, name, **options): """ 安装适配器过程中调用该方法进行初始化。 """ self._parent = parent self._instance_name = name self._options = options def __name__(self): """ 返回适配器实例名称。 """ re...
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from flask import Flask, render_template, request from chatterbot import ChatBot from chatterbot.trainers import ChatterBotCorpusTrainer app = Flask(__name__) #create chatbot englishBot = ChatBot("Chatterbot", storage_adapter="chatterbot.storage.SQLStorageAdapter") trainer = ChatterBotCorpusTrainer(englishBot) t...
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from common import invoke_main, render_exception, write_status from mxnet_util import export_mxnet_model def main(config_dir, setup_dir): try: export_mxnet_model('rnn', setup_dir) export_mxnet_model('gru', setup_dir) export_mxnet_model('lstm', setup_dir) write_status(setup_dir, True...
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from logger.action.FileWriter import FileWriter from logger.models.SmallcaseModel import smallcase_model def test_file_insert(): sm = smallcase_model(name='TEST_SM', index='107.45', investment='10000.00', value='1007989.00', pnl='-10.6%', actual_pnl='-1982.78', bought_on='20 APril', times...
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n = 10 a = range(0, int(n/2)) print(list(a)) for i in range(5): print(str(i+1) + "= 반복 변수") array = [273, 32, 103, 57, 52] for i in range(len(array)): print("{} 번쨰 반복 {}".format(i+1, array[i])) for i in range(4, 0-1 , -1): print(i) print() for i in reversed(range(5)): print(i) i =0 while i< 10: ...
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##实现一个键对应多个值的字典 #####实现方法一:将多个值放到不同的容器中 # d = { # 'a':[1,2,3], # 'b':[4,5] # } # e = { # 'a':{1,2,3}, # 'b':{4,5} # } from collections import defaultdict d = defaultdict(list) d['a'].append(1) d['b'].append(2) d['b'].append(4) e = defaultdict(set) e['a'].add(1) e['a'].add(2) e['b'].add(4) ############...
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# 向量化(vectorize) import sys from my_weapon import * from gensim.models import Word2Vec import word2vecReader import torch import torch.nn as nn import torch.nn.functional as F from torch import autograd, optim import logging # logging.basicConfig(filename="log/train-11302018.log", format="%(levelname)s - %(asctime)s -...
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""" WSGI config for vce_health_care 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/2.2/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJAN...
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# Tot's reward lv 60 sm.completeQuest(5523) # Lv. 60 Equipment box sm.giveItem(2433958, 1) sm.dispose()
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#!c:\users\gustavo\desktop\backend_receitas\ll_env\scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()
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# Generated by Django 2.2.2 on 2019-06-19 07:08 import django.contrib.gis.db.models.fields from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('habdb', '0005_station_location'), ] operations = [ migrations.AlterField( model_name='station...
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#Code to determine the variations in E, E' theta_e from the variations #measured in W_simc - W_data import LT.box as B import numpy as np from numpy import ndarray f = B.get_file('hms_heep_summary_FINAL.data') #Define masses Mp = 0.938272 #proton mass GeV me = 0.00051099 #electron mass GeV #converion factor from d...
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"""The tests for the counter component.""" # pylint: disable=protected-access import asyncio import unittest import logging from homeassistant.core import CoreState, State from homeassistant.setup import setup_component, async_setup_component from homeassistant.components.counter import ( DOMAIN, decrement, increm...
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# Generated by Django 3.0.3 on 2020-04-22 08:05 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('tdse', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='tdse', name='test', ), ]
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# -*- coding: utf-8 -*- # © 2016 Danimar Ribeiro, Trustcode # License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html). import sys import getopt import re as re_ import base64 import datetime as datetime_ etree_ = None Verbose_import_ = False ( XMLParser_import_none, XMLParser_import_lxml, XMLParser_...
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# Generated by Django 2.1.2 on 2018-12-08 15:22 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] ope...
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import c4d import random as rand def main(): doc.StartUndo() objs = doc.GetActiveObjects(0) if len(objs) == 0:return for obj in objs: doc.AddUndo(c4d.UNDOTYPE_CHANGE,obj) obj[c4d.ID_BASEOBJECT_USECOLOR] = 2 r = rand.random() g = rand.random() b = rand.r...
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from datetime import datetime from sqlalchemy import ( Column, Integer, Unicode, UnicodeText, Boolean, DateTime, create_engine ) from sqlalchemy.ext import declarative from bottle.ext import sqlalchemy Base = declarative.declarative_base() engine = create_engine('sqlite:///:memory:', echo=True) plugin = sq...
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from django.contrib import admin from corp.models import * class CorporateAdmin(admin.ModelAdmin): list_display = ('section',) search_fields = ['section', 'details_markdown'] list_filter = ('section',) admin.site.register(Corporate, CorporateAdmin)
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from urllib.request import urlopen from urllib.error import HTTPError from bs4 import BeautifulSoup def get_title(url): try: html = urlopen(url) except HTTPError as e: print(e) return None try: bsoup = BeautifulSoup(html.read()) title = bsoup.body.h1 except Attr...
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el_count = int(input("Введите количество элементов списка ")) my_list = [] i = 0 el = 0 while i < el_count: my_list.append(input("Введите следующее значение списка ")) i += 1 for elem in range(int(len(my_list)/2)): my_list[el], my_list[el + 1] = my_list [el + 1], my_list[el] el += 2 print(my_l...
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "batcher.settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)
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#!/usr/bin/python # reworked into python from rvrsh3ll's Find-Fruit.ps1 # https://github.com/rvrsh3ll/Misc-Powershell-Scripts/blob/master/Find-Fruit.ps1 import sys import socket import getopt import threading import subprocess import requests import requests.packages.urllib3 requests.packages.urllib3.disable_warnings...
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import numpy as np from scipy.integrate import odeint import matplotlib.pyplot as plt # args = mass, spring coeff., drag coeff. def spring(state, t, m, k, b): disp, vel = state state_deriv = [vel, -(k/m) * disp - (b/m) * vel] return state_deriv # coefficients m = 2.0 k = 100.0 b = 5.0 # critical damp near...
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from API import db from API.models import User, Device, UserKey from API.DeviceManager import Device_Manager from datetime import datetime if __name__=="__main__": # dev = Device_Manager() # db.create_all() # d=datetime.utcnow() # dev.create_device(name="Lamp desk",value="true",value_type="boolean",date...
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# copy from https://github.com/xvjiarui/GCNet/blob/master/mmdet/ops/gcb/context_block.py import torch from torch import nn __all__ = ['ContextBlock'] def last_zero_init(m): if isinstance(m, nn.Sequential): nn.init.constant_(m[-1].weight, val=0) if hasattr(m[-1], 'bias') and m[-1].bias is not Non...
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"""Module docstring ;-) """ __path__ = __import__("pkgutil").extend_path(__path__, __name__) print("PATH=%s" % __path__)
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from django.shortcuts import render, get_object_or_404 from .models import Category, Product from cart.forms import CartAddProductForm def product_list(request, category_slug=None): category = None categories = Category.objects.all() products = Product.objects.filter(available=True) if category_slug: category...
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import keras from keras.models import Sequential from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D, Activation from keras.layers.normalization import BatchNormalization from keras import backend as K import numpy as np from keras.models import model_from_json import cv2 #load json and create model de...
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[]
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def compute_sum(array): sum_ = 0 for _, mass in enumerate(array): fuel = mass while fuel > 8: fuel = int(fuel / 3) - 2 sum_ += fuel return sum_ array = [114106, 87170, 133060, 70662, 134140, 125874, 50081, 133117, 100409, 95098, 70251, 134043, 87501, 85034, 110678, 80615, 64647, 88555, 106387, 143755, 10...
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import numpy as np import cv2 import matplotlib.pyplot as plt import matplotlib.image as mpimg import pickle from utils import * # image = mpimg.imread('cutouts/bbox-example-image.jpg') image = mpimg.imread('project_video[00 00 21].bmp') params = {} window_list = None x_start_stop = [16, None]...
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/prometeo/mem/ast_analyzer.py
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import ast from collections import defaultdict from ..cgen.node_util import ExplicitNodeVisitor import astpretty as ap from ..cgen.op_util import get_op_symbol, get_op_precedence, Precedence import json from collections import Iterable from copy import deepcopy pmt_functions = {\ 'global@pmat': [], \ 'global@p...
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degrees = [[2, 1, 0, 1], [2, 1, 0, 1], [2, 1, 0, 1], [1, 2, 1, 0], [1, 2, 1, 0], [1, 2, 1, 0], [0, 1, 2, 1], [0, 1, 2, 1], [0, 1, 2, 1], [1, 0, 1, 2], [1, 0, 1, 2], [1, 0, 1, 2]] logTolerance = -10 explorationOrder="depthFirst" algebraicTorusVariableGroups = [0,1,2,3]
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# coding: utf-8 # ---------------ACTIVITY1- create a Nova client object ip = 'http://' + raw_input("Enter your ip: " ) url = ip + ':5000/v2.0' user = raw_input("Enter Username: ") pwd = raw_input("Enter Password: ") tenant = raw_input("Enter Tenant name: ") from novaclient.v1_1 import client nc = client.Client(...
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# _*_ coding: utf-8 _*_ from __future__ import unicode_literals from django.db import models from django.contrib.auth.models import User, UserManager from django.shortcuts import get_list_or_404 from django.shortcuts import get_object_or_404 import os BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__...
[ "ilja.vyazmin@mail.ru" ]
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