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# Generated by Django 3.2.4 on 2021-06-12 20:54 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), ('userProfile', '0010_auto...
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import numpy as np import matplotlib.image as mpimg import cv2 import pandas as pd def sample_noise(size, mu=0., sigma=1.): return np.random.normal(mu, sigma, size=size) def getData(path, size, value="mel"): DF = pd.read_pickle(path) assert(len(DF["image"]) == len(DF["id"])) X = [] for i in range(len(DF["i...
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# Generated by Django 3.0.8 on 2021-01-18 12:50 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('backs', '0012_auto_20210118_1343'), ] operations = [ migrations.RemoveField( model_name='studclass', name='Year', ...
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def group_detections(detection_box, detection_score, detection_category): w=[] for det in zip(detection_box, detection_score, detection_category): m = [ a for a in det[0] ] m.append(det[1]) m.append(det[2]) w.append(m) return w def group_detections_threshold(detection_box, d...
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# Enter your code here. Read input from STDIN. Print output to STDOUT from itertools import combinations if __name__ == "__main__": N = int(input()) letters = input().split() K = int(input()) list_comb = list(combinations(letters, K)) print(len([c for c in list_comb if 'a' in c]) / len(list_comb))
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# -*- coding: utf-8 -*- import get_file_name import get_engine def get_context(): try: from miraLibs.pipeLibs import pipeFile scene_name = get_file_name.get_file_name() x = pipeFile.PathDetails.parse_path(scene_name) return x.step except: engine = get_engine.get_engine(...
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import configparser import base64 from pathlib import Path def load_config(): config_data = configparser.ConfigParser(allow_no_value=True) config_data.read(Path(__file__).parent.glob("*.ini")) return config_data def file_encoder(filename): with open(filename, 'rb') as fd: data = fd.read() ...
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#!/usr/bin/python3 # -*- coding:utf-8 -*- # Author: yizr import os import sys __abs_file__ = os.path.abspath(__file__) migrate_dir = os.path.dirname(__abs_file__) tool_dir = os.path.dirname(migrate_dir) code_dir = os.path.dirname(tool_dir) sys.path.append(code_dir) import re import importlib import importlib.util #...
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from __future__ import division, print_function, absolute_import import numpy __author__ = 'Alex Rogozhnikov' def generate_dataset(n_samples=10000, n_features=3, n_categories=10): data = numpy.random.randint(0, n_categories, size=[n_samples, n_features]) cat_predictions = numpy.random.normal(size=n_categorie...
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# -*- coding: utf-8 -*- # # Copyright © Spyder Project Contributors # Licensed under the terms of the MIT License # (see spyder/__init__.py for details) """Spyder interactive tours""" # pylint: disable=C0103 # pylint: disable=R0903 # pylint: disable=R0911 # pylint: disable=R0201 # Standard library imports from __fut...
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import argparse import tensorflow as tf from tacotron.train import tacotron_train from wavenet_vocoder.train import wavenet_train from tacotron.synthesize import tacotron_synthesize from infolog import log from hparams import hparams import os import infolog from time import sleep log = infolog.log def save_seq(file...
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import os from flask import Flask, url_for, render_template, request, redirect, session, Markup, flash app = Flask(__name__) app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "nlp-analysis-key.json" app.secret_key = 'random-key' from google_npl import GoogleNLP from em...
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############################# IMPORT LIBRARY ################################# import timeit start_time = timeit.default_timer() seed=75 import psutil import os import numpy as np from tensorflow import set_random_seed import pandas as pd import matplotlib import matplotlib.pyplot as plt import seaborn a...
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# coding: utf8 __all__ = ["StreamingPrices"] import sys import logging import asyncio from pandas import DataFrame from pandas import to_numeric from .streamingprice import StreamingPrice from .stream import StreamState class StreamingPrices: """ Open a streaming price subscription. Parameters -...
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from sympy.abc import * from matchpy.matching.many_to_one import CommutativeMatcher from matchpy import * from matchpy.utils import VariableWithCount from collections import deque from multiset import Multiset from sympy.integrals.rubi.constraints import * from sympy.integrals.rubi.utility_function import * from sympy....
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from __future__ import (absolute_import, division, print_function, unicode_literals) from . import get_assert_same_ggplot, cleanup, assert_same_elements assert_same_ggplot = get_assert_same_ggplot(__file__) from nose.tools import (assert_true, assert_raises, assert_is, ...
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# Copyright 2016 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-2.0 # # Unless required by applicable law or ag...
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from django.contrib import admin from .models import AWSCredentials # Register your models here. admin.site.register(AWSCredentials)
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# -*- coding: utf-8 -*- """ /*************************************************************************** DemConverter A QGIS plugin Convert DEM file ------------------- begin : 2017-01-23 git sha : $Format:%H$ ...
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importar os from flask import Flask , jsonify , request de matemática import sqrt app = Flask ( __name__ ) @ app . rota ( '/' ) def nao_entre_em_panico (): proximo = 1 anterior = 0 limite = 98 encontrado = 0 resposta = "1, \ n " while ( encontrado < limite )...
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"""ds_project 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-ba...
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from sly import Lexer from gtokens import * class Flexer(Lexer): # The tokens arranged on each line are type of input, arithmetic operators, logical operators, miscellaneous symbols, # Grammar specific keywords tokens = {INTEGER, DECIMAL, PLUS, MINUS, DIV, MUL, MOD, INC, DEC, \ ...
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from django.contrib import admin from .models import Nivel, Turno, Aula admin.site.register(Nivel) admin.site.register(Turno) admin.site.register(Aula)
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from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, String, Integer from sqlalchemy.orm import sessionmaker engine = create_engine("mysql+pymysql://root:111111@127.0.0.1:3306/oceans",encoding="utf-8", echo=True, max_overflow=5) # engine = create_e...
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#!/usr/bin/env python a = 1 b = 2 c = 3 d = 4 e = 5 f = 6 g = 7 h = 8 i = 9 j = 10 print a + b + c + d + e + f + g + h + i + j
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import pygrank as pg import tensorflow as tf import torch import pytest def test_gnn_errors(): graph, features, labels = pg.load_feature_dataset('synthfeats') training, test = pg.split(list(range(len(graph))), 0.8) training, validation = pg.split(training, 1 - 0.2 / 0.8) from tensorflow.keras.layers ...
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from djongo import models # Create your models here. class Pizza(models.Model): type=models.CharField(max_length=20,null=True) size=models.CharField(max_length=50,null=True) toppings=models.TextField(null=True)
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#!/bin/env python # -*- coding: utf-8 -*- # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python """ test jit cases """ import os import sys sys.path.append(os.path.abspath(os.path.dirname(os.getcwd()))) sys.path.append(os.path.join(os.path.abspath(os.path.dirname(os.getcwd())), "utils")) from utils.yaml_loader import Ya...
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import unittest from TestUtils import TestLexer class LexerSuite(unittest.TestCase): def test_lơercase_identifier(self): """test identifiers""" self.assertTrue(TestLexer.test("abc","abc,<EOF>",101))
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from dataclasses import dataclass from typing import Any, List, Optional, TypeVar, Type, cast, Callable from App.Json_Class.IOTag_dto import IOTag from App.Json_Class.DtoUtilities import * from App.Json_Class.TCPdeviceProperties_dto import TCPdeviceProperties @dataclass class TCPdevice: properties: TCPdevicePrope...
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def calcular_precio(marcas,puertas,color,ventas): marcas = {'ford':100000, 'chevrolet':120000, 'fiat':80000} colores = {'blanco':10000, 'azul':20000, 'negro':30000} puertas = {2:50000,4:65000,5:78000} precio = marcas[marca]+ colores [color]+ puertas[puerta] if ventas > 5 and ventas <11: ...
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# coding: utf-8 import base64 from flask_oauthlib import client from werkzeug import urls import flask import auth import config import model import util from main import app reddit_config = dict( access_token_method='POST', access_token_params={'grant_type': 'authorization_code'}, access_token_url='https://...
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# Generated by Django 2.2 on 2020-01-07 14:30 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('items', '0001_initial'), ] operations = [ migrations.AddField( model_name='item', name='origin', field=mod...
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#! /usr/bin/env python # -*- coding:Utf8 -*- """Renaming class constructor""" ######################################## #### Classes and Methods imported : #### ######################################## import os import re ##################### #### Constants : #### ##################### # Regex and folder parmete...
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import argparse import time import zmq import xdrlib def main(host, port, topic, data): """ Sending events to the specific topic after connecting to the host. Parameters: host (str): host name to connect. port (str): port of the host to connect. topic (int): ID of topic to subscri...
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from decouple import config from .base import * # noqa SECRET_KEY = config("SECRET_KEY") DEBUG = config("DEBUG", cast=bool) DATABASES = { "default": { "ENGINE": config("DB_ENGINE"), "NAME": config("DB_NAME"), "USER": config("DB_USER"), "PASSWORD": config("DB_PASSWD"), "HOST": config("DB_HOST"), "PORT": config("DB_PO...
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# coding: utf-8 # 发送短信历史数据库 from config import Sql from db.base import DBbase from pymysql import escape_string from db.history import SmsHistoryDB from db.statistics import StatisticsDB from db.cache_statistics import CacheStatisticsDB import datetime import random import time """ CREATE TABLE `sms_p...
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#!/Users/DarcyElizabeth/Python/mysite/djangoenv/bin/python2.7 # -*- coding: utf-8 -*- import re import sys from pip import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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from setuptools import find_packages, setup setup( name='src', packages=find_packages(), version='0.1.0', description='Classification of reaction time of an \ operator performing tele-operation', author='Hemanth ', license='MIT', )
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n, a, b = list(map(int, input().split(' '))) # 二項係数 mod [検索] mmm = 1000000000 + 7 fac = [] inv = [] inv_fac = [] def init(n): fac.append(1) fac.append(1) inv.append(0) inv.append(1) inv_fac.append(1) inv_fac.append(1) for i in range(2, n): fac.append(fac[-1] * i % mmm) inv.a...
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'''Electric appliances class''' from inventory_management.inventory_class import Inventory #from inventory_class import Inventory class ElectricAppliances(Inventory): ''' initiates standard 'Inventory' attributes including brand and voltage for appliances ''' def __init__(self, product_code, descri...
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""" Django settings for pokeSite project. Generated by 'django-admin startproject' using Django 2.1.1. 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 ...
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from flask import Flask, render_template from dotenv import load_dotenv import config import os from flask_login import LoginManager from werkzeug.utils import secure_filename base = os.path.dirname(os.path.abspath(__name__)) UPLOAD_FOLDER = 'app/static/images/upload/news' # ALLOWED_EXTINSTIONS = set(['jpeg','jpg','png...
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#!"C:\Users\Shtun Max\PycharmProjects\PythonBot\venv\Scripts\python.exe" # EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3' __requires__ = 'pip==19.0.3' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', s...
[ "maxshtun99@gmail.com" ]
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# -*- coding: utf-8 -*- """ Created at 2019/4/28 @author: henk guo """ import numpy as np import dspBox obs1 = dspBox.str2ndar(open('obser1.txt', 'r').read()) obs2 = dspBox.str2ndar(open('obser2.txt', 'r').read()) obs3 = dspBox.str2ndar(open('obser3.txt', 'r').read()) a1 = np.array([[0.2, 0.7, 0.1], [0.1, 0.2, 0.7], ...
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""" WSGI config for trekbooking 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('DJANGO_S...
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from collections import deque class Solution: """ @param: start: a string @param: end: a string @param: dict: a set of string @return: a list of lists of string """ def findLadders(self, start, end, dict): # write your code here dict.add(start) dict.add(end) ...
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# Importing socket library import socket # Now we can create socket object s = socket.socket() # Lets choose one port and start listening on that port host_name = socket.gethostname() IPADDRESS = socket.gethostbyname(host_name) PORT = 9898 print(">>>IP address of the server: ", IPADDRESS) print(">>>Server is lis...
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# -*- coding: utf-8 -*- from __future__ import division def crescente (lista): #escreva o código da função crescente aqui cont=0 for i in range(0,len(lista)-1,1): if lista[i]<lista[i+1]: cont=cont+1 if cont==len(lista)-1: return True else: return False #escr...
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from knox.models import AuthToken from rest_framework import generics, permissions from rest_framework.decorators import permission_classes from rest_framework.response import Response from .serializers import LoginSerializer, RegisterSerializer, UserSerializer # Register API class RegisterAPI(generics.GenericAPIVie...
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#!/usr/bin/python # -*- coding: utf-8 -*- # # Copyright 2005-2010 TUBITAK/UEKAE # Licensed under the GNU General Public License, version 2. # See the file http://www.gnu.org/licenses/old-licenses/gpl-2.0.txt from pisi.actionsapi import crosstools from pisi.actionsapi import pisitools from pisi.actionsapi import get d...
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import getmeshvalue from getmeshvalue import getallvalues getdevinformation={} devicenamemapping={} arraydeviceglobal=[] pingmeshvalues={} arraydeviceglobal=["192.168.255.240","192.168.255.245","192.168.255.248","192.168.255.249","4.2.2.2"] devicenamemapping['192.168.255.240']="R1" devicenamemapping['192.168.255.245...
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# Write a Python function to multiply all the numbers in a list. def multiply(lst): total = 1 for item in lst: total *= item # total = lst[item] * lst[item+1] return total # print(multiply([1,2,4,-3,3]))
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# Copyright (C) 2018 Christopher Gearhart # chris@bblanimation.com # http://bblanimation.com/ # # This program 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 opt...
[ "root@localhost.localdomain" ]
root@localhost.localdomain
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# Generated by Django 3.2.7 on 2021-09-04 15:14 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='MyUser', fields=[ ('id', models.BigAutoFiel...
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# Generated by Django 3.2.8 on 2021-10-25 02:55 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('ecourses', '0003_course_promedio'), ] operations = [ migrations.AlterField( model_name='student', name='universidad'...
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from image_search.image_signature import ImageSignature from operator import itemgetter import numpy as np from datetime import datetime import os.path class SignatureDatabaseBase(object): """Base class for storing and searching image signatures in a database Note: You must implement the methods sear...
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# Generated by Django 2.1.7 on 2019-03-13 18:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('cadastro_edital', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='pagamento', name='edital', ...
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import unittest from autosklearn.smbo import AutoMLSMBO from autosklearn.metrics import accuracy from smac.facade.smac_facade import SMAC from smac.scenario.scenario import Scenario from smac.tae.execute_ta_run import StatusType from ConfigSpace import ConfigurationSpace, UniformFloatHyperparameter, Configuration cl...
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import cv2 import numpy as np face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') cap = cv2.VideoCapture(0) while True: ret, img = cap.read() gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScal...
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def bmi(weight, height): bmi = (weight/height**2) print(bmi) return ("Underweight" if bmi <= 18.5 else "Normal" if bmi <= 25 else "Overweight" if bmi <= 30 else "Obese") print(bmi(90, 1.80))
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# coding: utf-8 from sqlalchemy import Column, Text from sqlalchemy.dialects.postgresql.json import JSONB from . base import Base from tagger.db.session import get_session class Tag(Base): __tablename__ = 'tag' tag_id = Column(Text, primary_key=True) vendor_id = Column(Text, nullable=False) tag_met...
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import numpy as np import pandas as pd #from tsne import bh_sne import seaborn as sns import matplotlib.pyplot as plt #%matplotlib inline #pylab.rcParams['figure.figsize'] = (10, 6) def convert_int(dataframe,colname): dataframe[colname]=pd.to_numeric(dataframe[colname],errors='coerce') limit_rows=10000...
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from sys import argv script, input_file = argv def print_all(f): print(f.read()) def rewind(f): f.seek(0) def print_a_line(line_count, f): print(line_count, f.readline()) current_file = open(input_file) print("First let's print the whole file: \n") print_all(current_file) print("Now let's rewind. Ki...
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""" ASGI config for djangogirls project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.2/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefa...
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""" WSGI config for hunt 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('DJANGO_SETTINGS...
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from sqlalchemy.schema import MetaData from sqlalchemy.ext.declarative import declarative_base metadata = MetaData(schema='casesvcv2python') Base = declarative_base(metadata=metadata)
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import os import sys module_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) sys.path.insert(0, module_path) import oeb
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import requests from django.contrib.auth.decorators import login_required from django.shortcuts import render, redirect from django.http import HttpResponse from django.core.urlresolvers import reverse from django.contrib.auth import login, authenticate from django.contrib.auth.models import User, AnonymousUser from dj...
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from loadMNIST import load_mnist import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt def showImage(image): fig = plt.figure() ax = fig.add_subplot(1,1,1) imgplot = ax.imshow(image,cmap=mpl.cm.Greys) imgplot.set_interpolation('nearest') ax.xaxis.set_ticks_position('top') ax.yaxis.set_tic...
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# -*- coding: utf-8 -*- """ =================================== Demo of DBSCAN clustering algorithm =================================== Finds core samples of high density and expands clusters from them. """ print(__doc__) import numpy as np from sklearn.cluster import DBSCAN from sklearn import metrics from sklearn...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Sep 24 17:21:09 2018 @author: krishna """ import glob2 #Creating a list of path for each python file pyFilesPath = glob2.glob('/home/krishna/Desktop/fall 2018-19/Research/ipythonProject/**/*.py') # Reading the libraries from each of the python files fi...
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# -*- coding: utf-8 -*- from itertools import izip_longest def grouper(n, iterable, padvalue=None): "grouper(3, 'abcdefg', 'x') --> ('a','b','c'), ('d','e','f'), ('g','x','x')" return izip_longest(*[iter(iterable)]*n, fillvalue=padvalue)
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import adolc import numpy M,N = 4,2 sparsity_pattern_list = [numpy.random.randint(0,4*N,M)//(3*N) for n in range(N)] def F(x): y = numpy.ones(M, dtype=x.dtype) for n,sp in enumerate(sparsity_pattern_list): for ns, s in enumerate(sp): if s == 1: y[ns] *= x[n] ...
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from __future__ import division from const import START_END_OBS, START_END_TAG import math class Viterbi: def __init__(self, obs_space, states, trans_prob, emit_prob): ''' obs_space: all the possbile value of observations. In POS tagging, it is the vocabulary. states: the HMM states. In POS tagging, ...
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def get_number(num): """Return the number one less than the given positive number. If the number is nonpositive, return a string "Enter a positive number!". Arguments: num -- an integer. Return values: An integer one less than the input number. """ if num <= 0: return "Enter a ...
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# -*- coding: utf-8 -*- RESOURCE['databases'].update({ 'prefab1':{ 'arcName': 'prefab1.tar.bz2', }, 'prefab2':{ 'arcName': 'prefab2.tar.bz2', }, 'prefab3':{ 'arcName': 'prefab3.tar.bz2', }, 'prefab4':{ 'arcName': 'prefab4.tar.bz2', }, })
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""" Date: 2021/05/10 Author: worith """ import torch import torch.nn.functional as F class NetX2Y(torch.nn.Module): def __init__(self, hidden1, hidden2, hidden3, physical_hidden, is_physical_info, n_feature, n_output): super(NetX2Y, self).__init__() self.hidden1 = torch.nn.Linear(n_feature, hidd...
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def print_shrug_smile(): print("¯\_(ツ)_/¯") def print_ktulhu_smile(): print("{:€") def print_happy_smile(): print("(͡°ʖ ͡°)")
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import tensorflow as tf import numpy as np import pandas as pd import random tf.reset_default_graph() train_user=0 train_time=1 model_path="" X_csv_train_file_path="" y_csv_train_file_path="" Y_prediction_file_path="" root_directory = "D:\\jd\\model" #train_object=train_user train_object=tra...
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# Generated by Django 3.2.8 on 2021-10-16 13:09 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), ('chats', '0004_message_us...
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import os import numpy as np import cv2 import matplotlib.pyplot as plt from parameters import RESIZE_DIMENSION HEALTHY_FENDER_APRON_PATH = './data/YE358311_Fender_apron_2/YE358311_Fender_apron/YE358311_Healthy' DEFECTIVE_FENDER_APRON_PATH ='./data/YE358311_Fender_apron_2/YE358311_Fender_apron/YE358311_defects' \ ...
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import time import depth_huobi import depth_ok import depth_binance depth_huobi.StartCrwal() depth_ok.StartCrwal() depth_binance.StartCrwal() while True: time.sleep(1)
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from JackTokenizer import JackTokenizer,TOKEN_TYPE,KEYWORD_TYPE,tokentype,tokendict import fileinput import sys, getopt import os from enum import Enum, unique import sys class JackAnalyzer: def __init__(self,infile): # read all source code string to the buffer self.parser = JackTokenizer(infile) ...
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from bearlibterminal import terminal as blt class Joystick: def __init__(self): self.action = None def handle_player_turn_keys(self, key): # r = blt.TK_KEY_RELEASED if key == blt.TK_UP or key == blt.TK_W: self.action = {'move': (0, -1)} return {'move': (0, -1)}...
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#!/usr/bin/env python # Copyright 2014-2019 The PySCF Developers. 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-2.0 # # U...
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from payments.api_clients.base import BasePaymentApi import requests import json class PayeerAPIClient(BasePaymentApi): """ Documentation: http://docs.payeercom.apiary.io/# """ def __init__(self, account='12345', apiId='12345', apiPass='12345', url='https://payeer.com/ajax/api/api.php'): ...
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# from numpy import array import numpy as np from LSTM_model05 import vanilla_LSTM, stacked_LSTM, bi_LSTM #import training and test data X_train = np.load('wesad/S2/Normalize/label_selected/train_keras/X_train.npy') X_test = np.load('wesad/S2/Normalize/label_selected/train_keras/X_test.npy') y_train = np.load('wesad/S...
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from django.urls import path, include from . import views from rest_framework import routers router = routers.DefaultRouter() router.register('enfants', views.EnfantsView, basename='enfant') router.register('logged_enfant', views.logged_enfant, basename='logged_enfant') router.register('non_logged_enfant', views.non_l...
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from .DbLoader import DbLoader from .ContentLoader import ContentLoader import runStatus import ScrapePlugins.RunBase class Runner(ScrapePlugins.RunBase.ScraperBase): loggerPath = "Main.Manga.CrunchyRoll.Run" pluginName = "CrunchyRoll" def _go(self): fl = DbLoader() fl.go() fl.closeDB() if not ru...
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import confidential_ml_utils from confidential_ml_utils.constants import DataCategory import io import logging import pytest import re import sys def test_basic_config(): logging.warning("before basic config") logging.basicConfig() ...
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# The MIT License (MIT) # # Copyright (c) 2019, TU Wien # # 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 use, copy, modify, ...
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# Generated by Django 3.1.5 on 2021-05-13 17:16 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('developer_test', '0004_auto_20210513_0013'), ] operations = [ migrations.A...
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from AIBase import AIBase from direct.directnotify.DirectNotifyGlobal import directNotify from panda3d.core import RescaleNormalAttrib, NodePath, Notify __builtins__['base'] = AIBase() __builtins__['ostream'] = Notify.out() __builtins__['run'] = base.run __builtins__['taskMgr'] = base.taskMgr __builtins__['jobMgr'] = ...
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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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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import datetime from django.utils.timezone import utc class Migration(migrations.Migration): dependencies = [ ('article', '0001_initial'), ] operations = [ migrations.AddField( ...
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# -*- coding: utf-8 -*- ''' Manage a local persistent data structure that can hold any arbitrary data specific to the minion ''' from __future__ import absolute_import # Import python libs import os import ast import logging # Import salt libs import salt.utils import salt.payload # Import 3rd-party lib import salt....
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"""Search (Chapters 3-4) The way to use this code is to subclass Problem to create a class of problems, then create problem instances and solve them with calls to the various search functions.""" from __future__ import generators from utils import * import agents import math, random, sys, time, bisect, string class...
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k = int(input()) l = int(input()) m = int (input()) n = int (input()) d = int (input()) res=0 for i in range(1,d+1): if i%k==0 or i%l==0 or i%m==0 or i%n==0: res=res+1 print(res)
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from Ex12_2 import * def metathesis_pairs(d): for anagrams in d.values(): for word1 in anagrams: for word2 in anagrams: if word1 < word2 and word_distance(word1, word2) == 2: print(word1, word2) def word_distance(word1, word2): assert len(word1) == len(w...
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