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#coding=utf-8 from rest_framework import serializers from rest_framework.serializers import ModelSerializer, BaseSerializer, Serializer from drf_writable_nested import WritableNestedModelSerializer from TestOnline.models import User from TestOnline.models import * class FormatDataTimeField(BaseSerializer): def to...
import sys from itertools import permutations if __name__ == "__main__": ''' Given: A positive integer n≤7. Return: The total number of permutations of length n, followed by a list of all such permutations (in any order). ''' n = int(sys.stdin.read().splitlines()[0]) permutations = list(permuta...
# Generated by Django 2.2.3 on 2019-11-01 19:32 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('basket', '0003_auto_20191102_0131'), ] operations = [ migrations.AlterField( model_name='order', name='customer_emai...
# Generated by Django 3.0.7 on 2020-10-12 10:48 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('cl_app', '0005_auto_20201012_0655'), ] operations = [ migrations.AlterField( model_name='sitegroup', name='code', ...
# https://www.hackerrank.com/challenges/2d-array/problem # Complete the hourglassSum function below. def hourglassSum(arr): result = [] for i in range(len(arr)-2): for j in range(len(arr)-2): total = 0 for k in range(i, i+3): for l in range(j, j+3): ...
#substruct two numbers #author Angelina B #reads input and converts it into float a = float(input("Please enter first number: ")) b = float(input("Please enter second number: ")) print("{} minus {} is {}".format(a, b, a-b))
# Problem # There are N houses for sale. The i-th house costs Ai dollars to buy. You have a budget of B dollars to spend. # What is the maximum number of houses you can buy? # Input # The first line of the input gives the number of test cases, T. T test cases follow. Each test case begins with a single line containin...
import OpenPNM class SGL10Test: def setup_class(self): self.net = OpenPNM.Network.Cubic(shape=[3, 3, 3]) self.geo = OpenPNM.Geometry.SGL10(network=self.net, pores=self.net.Ps, throats=self.net.Ts)
from django.shortcuts import render from DB_Crawling import route_table # Create your views here. def route_table(request): routTable = route_table() return render(request, 'cTable/cTable.html', rout_table)
def length_words(string): string = string.lower() repl = ",.?!" for i in repl: string = string.replace(i, "") string = string.split() dic = {} #print(string) for word in string: word_length = len(word) dic[word_length] = [] if word_length in dic: ...
from werkzeug.security import check_password_hash class User: def __init__(self, username, email, password): self.username=username self.email=email self.password=password def is_authenticated(self): return True def is_active(self): return True def is_anonymou...
#import sys #input = sys.stdin.readline def main(): N, X = map( int, input().split()) L = list( map( int, input().split())) ans = 1 now = 0 for i in range(N): now += L[i] if now > X: break ans += 1 print(ans) if __name__ == '__main__': main() ...
import pytest import Triangulo #Exemplo de teste 1(simples sem criar classes) '''def testa_perimetro(): t = Triangulo.Triangulo(1,1,1) assert t.perimetro() == 3''' #Exemplo de teste 3 '''@pytest.mark.parametrize("entrada, esperado", [ ((1,1,1),(3)), (), (), () ])''' ...
import numpy import math import matplotlib.pyplot as pyplot import pyfits fits = pyfits.open("nr29.fits") image = fits[0].data t = numpy.arange(image.shape[0]) print "Loaded data" def load(image, quadrant): if quadrant == 1: image_subset = image[:, :, 1024:1536] if quadrant == 2: image_subset = image[:, :...
from django.apps import AppConfig class MyappConfig(AppConfig): name = 'myapp' def ready(self): # Makes sure all signal handlers are connected from myapp import handler # noqa
# -*- coding: utf-8 -*- # @Author : 赵永健 # @Time : 2020/1/8 13:20 # -*- coding: utf-8 -*- # 本地图片在html中显示 import os import re import base64 import time def findimg(content): ''' 查找网页中所有的img,类似img src='1.png',返回1.png :param content: 网页内容 :return: 返回找到的所有图片文件名列表 ''' patt = re.compile("<img s...
import struct import os UTF_16 = 'UTF-16-LE' class DBError(Exception): pass class Field(object): def __init__(self, name, dtype, to_py=None, to_db=None): self.name = name self.dtype = dtype self.to_py = to_py self.to_db = to_db self.value = None def __setattr_...
file = open('writexample.txt', 'w') file.write('Line 1\n') file.close() file = open('writexample.txt', 'a') file.write('Line 2\n') file.close()
import math import collections import aer import warnings def get_lprob(s_word, t_word, lprobs): return lprobs[s_word].get(t_word, 0) #prob 0 if s/t word do not co-occur in training def source_dependencies(s_sentence, t_word, t_pos, t_length, lprobs, jump_probs): s_length = len(s_sentence) jump_probs...
from django.core import validators from django import forms from .models import Patient class Register_patient(forms.ModelForm): class Meta: model = Patient fields = ['patient_name','patient_code','complain','gender','address'] widgets= { 'patient_name' : forms.TextInput(attrs...
#!/usr/bin/env python import sys, collections, random from tcc import tcc tag_whitelist = ( 'RB', 'CD', 'VB', 'VBD', 'VBG', 'VBZ', 'JJ', 'JJR', 'JJS', 'NN', 'NNS', 'NNP', 'NNPS' ) tag_whitelist_phrases = ('JJ', 'NNP', 'NNPS', 'VB', 'NN', 'CD') word_blacklist = ( 'be', 'is', '\'s', '(', ')', 'was', 'n\'t'...
import numpy as np from scipy.stats import hypergeom # n - unknown population size # Desired confidence level p = 95/100 # Marked in first group m = 24 # Caught in second group c = 19 # Tagged in second group t = 3 print("Lincoln-Petersen estimator = ",(m*c/t)) print("Chapman estimator = ",((m+1)*(c+1)/(t+1)-1)) l...
#! /usr/bin/python print 'Content-type: text/html' print '' for i in range(11): print i for i in range (5, 21): print i myFoodList = ["pizza", "chicken", "chocolate"] for food in myFoodList: print "I like eating " + food + " . " x = 0 while x <= 10: print x x...
from flask import Flask, render_template, request, flash, redirect, session, jsonify from werkzeug.security import generate_password_hash as passgen from werkzeug.security import check_password_hash as passcheck import firebase_admin from firebase_admin import credentials from firebase_admin import firestore import os ...
import pandas as pd import matplotlib.pyplot as plt from matplotlib import cm import numpy as np # carrega datasets ds_l = pd.read_csv('grpc_metrics_localhost.csv') ds_r = pd.read_csv('grpc_metrics_192.168.0.109.csv') ds_rpyc = pd.read_csv('rpyc_metrics_localhost_2.csv') ds_rpyc_r = pd.read_csv('rpyc_metrics_192.168.0...
r=int(input()) print(3.141592653589793*(r**2))
from conf import all as conf
# -*- coding: utf-8 -*- """ Created on Sun Dec 24 22:18:50 2017 @author: JATIN """ import zipfile import pandas as pd import urllib.request, urllib.error, urllib.parse from bs4 import BeautifulSoup from datetime import datetime from dateutil.parser import parse def sec_dataframe(): #Set variable for...
# Generated by Django 2.2.3 on 2019-07-04 15:13 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('budget', '0037_remove_account_bank'), ] operations = [ migrations.DeleteModel( name='Bank', ), ]
from django.contrib import admin from .models import Image, WebPage, AsyncResults @admin.register(WebPage) class WebPageAdmin(admin.ModelAdmin): pass @admin.register(Image) class ImagePageAdmin(admin.ModelAdmin): pass @admin.register(AsyncResults) class AsyncResultAdmin(admin.ModelAdmin): pass
from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from database_setup import Base, Category, Book, User engine = create_engine('postgresql:///books') # Bind the engine to the metadata of the Base class so that the # declaratives can be accessed through a DBSession instance Base.metadata.bin...
from translationstring import TranslationStringFactory _ = TranslationStringFactory('onegov.gazette')
#!/usr/local/bin/python from ROOT import * import subprocess import os import sys XrayInDir = sys.argv[1] def placeHRFiles(): for f in os.listdir(XrayInDir + '/000_FPIXTest_p17'): if 'hr' in f and 'root' in f and 'NoCal' not in f: hrdig = list(f)[2] + list(f)[3] hrVal = int(hrdig)/5 + 1 hrDir ...
__author__ = 'ryan@barnett.io' #python makes this efficient with string slicing def reverse_string(string): return string[::-1]
import os import torch from models import model_utils from utils import eval_utils, time_utils import numpy as np def get_itervals(args, split): if split not in ['train', 'val', 'test']: split = 'test' args_var = vars(args) disp_intv = args_var[split+'_disp'] save_intv = args_var[split+'_save'...
import json import numpy as np import matplotlib.pyplot as plt from scipy.special import expit as sigmoid from sklearn.utils import shuffle from datetime import datetime from scipy.spatial.distance import cosine as cos_dist from sklearn.metrics.pairwise import pairwise_distances from glob import glob import os...
from onegov.user.auth.core import Auth __all__ = ('Auth', )
from adapters.dimmable_bulb_adapter import DimmableBulbAdapter immax_adapters = { 'IM-Z3.0-DIM': DimmableBulbAdapter, # Immax LED E14/230V C35 5W TB 440LM ZIGBEE DIM }
import lxml.etree as ET from lxml.builder import E as B def buildPerson(personid ,firstname, lastname, title, address, street, zipcode, city, country, day, month, year): root = B.person( B.firstname(firstname), B.lastname(lastname), B.title(title),...
from stnu import NamedStnu from fast_dc import DcTester def main(): network = NamedStnu() network.read_from_stdin() dc_tester = DcTester(network) print 'dc' if dc_tester.is_dynamically_controllable() else 'notdc' if __name__ == '__main__': main()
# -*- coding: utf-8 -*- # client.py # 要测试这个服务器程序,我们还需要编写一个客户端程序: # 导入socket库: import socket s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # 建立连接: s.connect(('127.0.0.1', 7777)) # 接收欢迎消息: print(s.recv(1024).decode('utf-8')) for data in [b'shisan', b'luckypot', b'lakiGuo']: # 发送数据: s.send(data) print(...
import string import random from django.db import models from .enum import SexEnum, NationalityEnum class School(models.Model): name = models.CharField(max_length=20) maximum_student = models.PositiveIntegerField(default=1000) def __str__(self): return self.name class StudentQuerySet(models.Que...
import requests from allauth.socialaccount import providers from allauth.socialaccount.providers.oauth2.views import (OAuth2Adapter, OAuth2LoginView, OAuth2CallbackView) from .provider import SchedulePic...
import math num_rows=int(input("enter the no of rows:")) if num_rows%2 ==0: print('enter a valid odd number') else: k=1 num = num_rows/2 upper = math.ceil(num) for rows in range(0,upper): for coloumn in range(k): print("*", end=" ") k=k+2 print() k=k-4 for row...
class Solution(object): def reverseList(self, head): """ :type head: ListNode :rtype: ListNode """ if not head or not head.next: return head pCur = head pRev = None while pCur: pTemp = pCur pCur = pCur.next ...
from django.forms import ModelForm import pytest from ..schema_fields import BooleanField, CharField, ObjectField from .mock_app.models import RecordShop @pytest.fixture def scooby_doo(): return {'name': 'Scooby Doo', 'breed': 'Daschund'} @pytest.fixture def snoopy(): return {'name': 'Snoopy', 'breed': 'Be...
''' Given the root node of a binary search tree (BST) and a value. You need to find the node in the BST that the node's value equals the given value. Return the subtree rooted with that node. If such node doesn't exist, you should return NULL. For example, Given the tree: 4 / \ 2 7 / \ ...
from PIL import Image import requests from io import BytesIO # Some sample token. Instead replace with the token returned by authentication endpoint JWT_TOKEN = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJzdWIiOiJ0ZXN0IiwiaWFkIjoxLCJhY3AiOm51bGwsInRicCI6bnVsbCwiaWF0IjoxNTg4MTgzMjg5LCJleHAiOjE1ODgxODY4ODl9.PK1gZswB1_dzV13...
import CAL '''def main(): # my code here #menu print "menu (please select an option)" print "1-test gui" print "2-quit" num = raw_input('enter a number: ') if num == '1': gui = GUI.GUI() gui.run_GUI() print "im in 1" elif num == '2': print "im in 2" quit() if __name__ == "__main__": ...
from bert_serving.client import BertClient import numpy as np with open('wordList.txt', 'r', encoding='utf-8') as f: words = [] for line in f.readlines(): line = line.strip('\n') # 去掉换行符\n b = line.split(' ') # 将每一行以空格为分隔符转换成列表 def not_empty(s): return s and s.strip() ...
# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. from odoo.tests import tagged, common from odoo.tools.misc import formatLang import time from odoo import fields from odoo.addons.account.tests.account_test_no_chart import TestAccountNoChartCommon from odoo.addons.accou...
import tensorflow as tf import util.TensorflowUtils as tu from util.dataLoader import loadNormalData from util.Util import Normalize, DummyCM def train(loss_val, var_list, lr, max_grad): optimizer = tf.train.AdamOptimizer(lr, beta1=0.9) grads, _ = tf.clip_by_global_norm(tf.gradients(loss_val, var_list), max_gr...
from pybrain.supervised.trainers import BackpropTrainer from pybrain.datasets import SupervisedDataSet from pybrain.structure import FeedForwardNetwork, LinearLayer, SigmoidLayer,FullConnection import fitsio import numpy as np import time import pickle import sys sys.path.insert(0, '../') from redshift_utils import na...
import numpy as np from bresenham import bresenham import scipy.ndimage from PIL import Image def mydrawPNG(vector_image, Side = 256): raster_image = np.zeros((int(Side), int(Side)), dtype=np.float32) initX, initY = int(vector_image[0, 0]), int(vector_image[0, 1]) stroke_bbox = [] pixel_length = 0 ...
number = int(input()) numbersToText = [] numbersToText[0:9] = ["zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine"] try: print(numbersToText[number]) except IndexError: print("number too big")
# -*- coding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Management Solution # Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>). # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU...
try: from rpython.rlib.rarithmetic import ovfcheck, LONG_BIT # pylint: disable=W from rpython.rlib.rbigint import rbigint, _divrem as divrem # pylint: disable=W from rpython.rlib.rbigint import rbigint as BigIntType # pylint: disable=W from rpython.rlib.rarithmetic import string_to_int # pylint: dis...
# -*- coding: utf-8 -*- import numpy as np import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt #importing dataset dataset=pd.read_csv('Salary_Data.csv') X=dataset.iloc[:,:-1].values y=dataset.iloc[:,1:].values #splitting the dataset into training and test sets from sklearn.model_selection i...
"""create table organizations Revision ID: 538755761e27 Revises: Create Date: 2020-10-09 11:30:40.155436 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = "538755761e27" down_revision = None branch_labels = None depends_on = None def upgrade(): op.create_tab...
import os def confirm_move_forward(message): move_forward = 'n' while move_forward.lower() != 'y': move_forward = input('{0} (y)'.format(message)) confirm_move_forward('Make bot message files?') ###################################### # MAKE THE BOT MESSAGE AND LOG FILES # ############################...
#packing and unpacking #Create packed tuple pair = ("dog","cat",) #unpack tuple (key, value) = pair #display print(key) print(value)
import os import time source = [r'D:\Backup\phone', r'E:\Dropbox\Photos'] target_dir = 'd:/backup/' target = target_dir + time.strftime('%Y%m%d%H%M%S') + '.zip' zip_command = "zip -qr '%s' %s" % (target, ''.join(source)) print zip_command if os.system(zip_command) == 0: print 'Successful backup ...
# Generated by Django 2.2.11 on 2020-06-01 19:13 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('wishlist', '0010_auto_20200413_1512'), ] operations = [ migrations.CreateModel( name='WishlistDpModel', fields=[ ...
from flask import Flask, render_template,request from flask_sqlalchemy import SQLAlchemy import mysql.connector as sql import pandas as pd import sqlite3 #import pyodbc import sqlalchemy as sa import pymysql target = sa.create_engine(f'mysql://sql6424418:kZPRYYclcY@sql6.freemysqlhosting.net/sql6424418') app...
# coding = UTF-8 from telegram.ext import Updater, CommandHandler, MessageHandler, Filters import logging import datetime import re import lp2_while import planet import bot_constants import mycalc logging.basicConfig(format='%(name)s - %(levelname)s - %(message)s', level=logging.INF...
#!/usr/bin/python # This is a sentence rectangle # Author: Eason sentence = raw_input("Input your sentences:") screen_width = 120 text_width = len(sentence) box_width = text_width + 6 left_margin = (screen_width - box_width) // 2 print print ' ' * left_margin + '+' + '-' * (box_width - 6) + '+' print ' ' * left_margin ...
import requests import pprint pp = pprint.PrettyPrinter() class Token: def __init__(self): self.token = None self.expires_in = None self.active = False self.code = None self.access_token = None self.refresh_token = None def get_token(self): return self...
#!/usr/bin/env python # -*- coding: utf-8 -*- import web import sys import kenlm import json if len(sys.argv) < 3: print >>sys.stderr, "Usage: server.py port lm-path" lm_path = sys.argv[2] sys.stderr.write("Loading language model from %s..." % lm_path) lm = kenlm.LanguageModel(lm_path) sys.stderr.write("Done.\n...
from poyonga.client import Groonga from poyonga.result import GroongaResult __version__ = '0.1.4'
import tensorflow as tf import numpy as np import matplotlib.pyplot as plt import cv2 import os # Load model that was previously created model = tf.keras.models.load_model('digits_detect.model') # Runs model prediction for each image file in the directory for num in os.listdir(): if ".png" in num: # Uses ...
import FWCore.ParameterSet.Config as cms source = cms.Source("PoolSource", fileNames = cms.untracked.vstring( '/store/user/skaplan/noreplica/MinBiasBeamSpotPhi225R2_HISTATS/outfile14TeVSKIM_100_1_PiG.root', '/store/user/skaplan/noreplica/MinBiasBeamSpotPhi225R2_HISTATS/outfile14TeVSKIM_101_1_LBd.root', '/store/...
user = { 'first_name': str, 'last_name': str, 'username': str, 'password': str } login_user = { 'username': str, 'password': str }
import logging import os import subprocess from src.definitions import INPUT_APK_DIR, DECODED_APK_DIR logger = logging.getLogger(__name__) DIR = os.path.dirname(os.path.abspath(__file__)) def disassemble_apk(apk_name): input_apk = INPUT_APK_DIR + apk_name + ".apk" output_path = DECODED_APK_DIR + apk_name ...
from django import forms from doctor import constants from doctor.models import AvailableTime class ScheduleAppointmentForm(forms.Form): """ Form for schedule appointment """ start_date = forms.DateInput(label='Start Date', format=('%d-%m-%Y')) no_of_days = forms.IntegerField(label="Number of Days...
print("Enter your name") n=raw_input()# Greetings print("Hello "+ n)
from __future__ import print_function from twisted.internet.defer import inlineCallbacks from autobahn import wamp from autobahn.twisted.wamp import ApplicationSession class ControllerBackend(ApplicationSession): def __init__(self, config): ApplicationSession.__init__(self, config) @inlineCallbacks...
from agents.common import PLAYER1, PLAYER2 def test_auto_rematch(): from agents.agent_mlp.mlp_training.auto_rematch import auto_rematch from agents.agent_random import generate_move as random_move import numpy as np n_matches = 100 boards, moves, a_wins = auto_rematch(random_move, random_move, n...
# Copyright 2016 Husky Team # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, softw...
# protest.py # by aaron montoya-moraga # march 2017 # to distribute, on terminal do # python setup.py sdist # from distutils.core import setup from setuptools import * from codecs import open from os import path # taken from https://tom-christie.github.io/articles/pypi/ here = path.abspath(path.dirname(__file__)) ...
__all__ = ['UserSerializer', 'EditUserSerializer', 'GroupSerializer'] from django.contrib.auth.models import Group from extuser.models import ExtUser from rest_framework import serializers from helpers import roles class UserSerializer(serializers.ModelSerializer): class Meta: model = ExtUser fi...
string1 = str(input('Please enter a first string: ')) string2 = str(input('Please enter a second string: ')) #First case, the first string is longer. if len(string1) > len(string2): print('The first string, {0}, is the longest of the two'.format(string1)) #Second case, the second string is longer. elif len(string2...
#Número 84 i = 0 nome_peso = list() lista = list() while(i == 0): del nome_peso[:] nome_peso.append(input('Digite o nome:')) nome_peso.append(int(input('Digite o peso:'))) lista.append(nome_peso[:]) i = int(input('Digite 0 para adicionar mais pessoas!')) total = len(l...
#!/usr/bin/env python #-*-coding:utf-8-*- ''' The prime 41, can be written as the sum of six consecutive primes: 41 = 2 + 3 + 5 + 7 + 11 + 13 This is the longest sum of consecutive primes that adds to a prime below one-hundred. The longest sum of consecutive primes below one-thousand that adds to a prime, contains 21 ...
# -*- coding: utf-8 -*- from http import HTTPStatus as statuses import flask from sqlalchemy import desc from ...result import make_result from ...utils import api_location from ...resource import ApiResource from ...utils import paginated_query from ....database import schema as db VERSION = 1 resource = ApiRes...
import json import requests import sys query = input("Enter an IP or Domain name: ") endpoint = f"http://ip-api.com/json/{query}" if query == '': #Conditia daca valoarea de la input lipseste print("Value error") sys.exit() #Terminates the program immediatly response = requests.get( endpoint ) data...
""" TFeat Implementation Author: Alex Butenko """ import sys import os import torch from torch import nn import torch.nn.functional as F import numpy as np import cv2 from features.DetectorDescriptorTemplate import DetectorAndDescriptor import features.feature_utils as utils dirname = os.path.dirname(__file__) clas...
""" Primitive types and type conversions. """ import math from itertools import izip_longest from .exceptions import ESTypeError, ESSyntaxError from .literals import NumberLiteralParser NaN = float('nan') inf = float('inf') sign = lambda x: math.copysign(1, x) MASK16 = (2 ** 16) - 1 MASK32 = (2 ** 32) - 1 class Typ...
from django.contrib import admin from .models import Beach, SelectedBeach admin.site.register(Beach) admin.site.register(SelectedBeach)
""" תשע"ב מועד א' שאלה 5 """ import numpy as np from numpy import random as rn import scipy.stats as ss #Black and Scholes def d1(S0, K, r, sigma, T): return (np.log(S0/K) + (r + sigma**2 / 2) * T)/(sigma * np.sqrt(T)) def d2(S0, K, r, sigma, T): return (np.log(S0 / K) + (r - sigma**2 / 2) * T) ...
import datetime import logging from typing import Any, Dict, List, Tuple import flask_restless import gunicorn.app.base from dbcat import Catalog from dbcat.catalog import CatColumn from dbcat.catalog.db import DbScanner from dbcat.catalog.models import ( CatSchema, CatSource, CatTable, ColumnLineage, ...
import os import logging import pandas as pd from pathlib import Path from cropcore.model_data_access import ( insert_model_run, insert_model_product, insert_model_predictions, get_sqlalchemy_session, ) # relative or non-relative imports, depending on where we run from :-/ if os.getcwd() == os.path.di...
from forest import RandomForest from kneighbors import KNeighbors from linear import LinearModel, RidgeModel from svr import SVRModel
import unittest from lib.workflow.workflow_runner import WorkflowRunner from lib.exception.file_format_exception import FileFormatException from mockito import Mock, verify, when, any, inorder from mock import mock_open, patch, Mock as mock_Mock class WorkflowRunnerTest(unittest.TestCase): def setUp(self): ...
#-*- coding:utf8 -*- __author__ = 'meixqhi' import re import json from django.core.urlresolvers import reverse from djangorestframework.views import ModelView from djangorestframework.response import ErrorResponse from djangorestframework import status from shopback.orders.models import Order,Trade from shopback.trade...
from flask import Flask, render_template app = Flask(__name__) @app.route("/") def home(): return render_template("custom.html") if __name__ == "__main__": app.config['SEND_FILE_MAX_AGE_DEFAULT'] = 0 app.run(debug=True)
""" Convert CSV language file to JS and PY files """ import sys import csv SEPERATE_FIELD = ';' CLIENT_LANG = 'lang.js' SERVER_LANG = 'i18n.py' FILE = sys.argv[1] FIRST = True LANG_DICT = [] with open(FILE, 'rb') as csvfile: LINES = csv.reader(csvfile, delimiter=';', quotechar='"') for line in LINES: ...
__all__ = ["create2api","configGenerator"]
print("hello") a=input("please enter no;") print(a)
from mnist import MNIST import numpy as np import os from PIL import Image from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import cross_val_score # Import the modules from sklearn.externals import joblib from sklearn import datasets from skimage.feature import hog from s...
def main(): edad = int(input("Ingresa tu edad: ")) # Escribe el código adecuado para completar el programa # Para pedir el dato de la idetificación oficial emplea este mensaje: # "¿Tienes identificación oficial? (s/n): " if(edad<=0): print("Respuesta incorrecta") elif(edad<18 ): ...