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def vvod_dannyh(): s = [] for i in range(4): b = [] print("Введите данные ", i + 1, " списка") for row in range(4): print("Вводи ", row + 1, " элемент ", i + 1, " списка ") b.append(input()) s.append(b) return s def raschet(list): maximum = 0 m...
__author__ = "Theo Satloff" __email__ = "theo@satloff.com" from Clearbit import Clearbit
# %% Importing # System ----------------------------------------- import os import sys import json import pickle from pprint import pprint from collections import defaultdict # Computing -------------------------------------- # numpy import numpy as np # sklearn from sklearn import metrics # Plotting ---------------...
from pkg_resources import resource_filename RU_MORPH_DEFAULT_MODEL_CONFIG = resource_filename(__name__, "models/model_config.yaml") RU_MORPH_DEFAULT_MODEL_WEIGHTS = resource_filename(__name__, "models/model_weights.h5") RU_MORPH_GRAMMEMES_DICT = resource_filename(__name__, "models/gram_input.json") RU_MORPH_GRAMMEMES_...
# ----------------- # import modules # ----------------- import requests import pandas as pd import json import datetime as dt import os import time from pycoingecko import CoinGeckoAPI from telethon.sync import TelegramClient from telethon.tl.functions.messages import (GetHistoryRequest) from telethon.tl.types impo...
class Solution(object): def isPossible(self, nums): """ :type nums: List[int] :rtype: bool """ # Basic idea is to imitate the allocation. There are breakpoints (diff>1) that separates bags. # For each bag (represented by counts), check if it is possible by just splitt...
#Name:PRADEEP RAVICHANDRAN #CSE 6331-Cloud Computing import os from flask import Flask, render_template, request import sqlite3 as sql import pandas as pd import random import time import redis import sqlite3, csv, base64 application = Flask(__name__) con=sqlite3.connect('eq.db') #creating cursor to perform database...
import keras as K from keras import layers, models def Model(inputShape, numOfClass): # 2D convolution layer 1 self.add(layers.Conv2D(32, kernel_size = (3, 3), activation = 'relu', input_shape = inputShape)) self.add(layers.Conv2D(32, ke...
import eqparser import copyTree import equalTree def dist(root): if root == None: return root if root.leaf == '=': return 0 if root.leaf == '*': if root.children[0].leaf == '+' or root.children[0].leaf == '-': if root.children[0].children[0].leaf !=0 and root.children[0].children[1].leaf!=0: newTree ...
from django.test import TestCase from .views import fibonacci class FibonacciTestCase(TestCase): def test_fibonacci(self): self.assertEquals(fibonacci(6), 8) self.assertEquals(fibonacci(0), 0) self.assertEquals(fibonacci(1), 1) self.assertEquals(fibonacci(10), 55)
/Users/Di/anaconda/lib/python2.7/abc.py
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'ui_tilelayer.ui' # # Created by: PyQt4 UI code generator 4.11.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(...
import numpy as np from random import randint as rd def calcMean(data): return sum(data) / len(data) def calcSTD(data): mean = calcMean(data) squareDeviation = [] for item in data: squareDeviation.append((item - mean) ** 2) variance = sum(squareDeviation) / len(data) STD = variance ** 0.5 ...
from django import forms from .models import Create_Post class Create_PostForm(forms.ModelForm): class Meta: model = Create_Post exclude = ['view_count', 'like_set', 'author']
import timeit class ClassifierBaseClass: def __init__(self, **kwargs): self.trained = False def train(self, xtrain, ytrain): self.setClassifer() start_train = timeit.default_timer() self.classifier.fit(xtrain, ytrain) stop_train = timeit.default_timer() self...
n = int(input("Enter number n: ")) m = int(input("Enter number m: ")) while n <= m: tempNumber = n sumOfDigits = 0 while tempNumber > 0: sumOfDigits += tempNumber % 10 tempNumber //= 10 print("Sum of digits of {} = {}".format(n, sumOfDigits)) n += 1
import os class CampaignCreater: def __init__(self, session, solution_version): self.personalize = session.client('personalize') self.solution_version = solution_version self.name = os.environ.get('CAMPAIGN_NAME') def exec(self): return self.personalize.create_campaign( ...
""" Name: 循环获取瀑布流网址的id参数 Author: Jia_qiu Wang(王佳秋) Data: Jan, 2017 function: """ import time import re from html.parser import HTMLParser class ParseTimeFlowData: # 类的公有参数 # list_all_next_cursor = [] """构造函数""" def __init__(self, filename, source): self.filename = filename self.sour...
# -*- coding: utf-8 -*- """ Created on Sun Jan 6 15:17:50 2019 @author: gillespie.evan@gmail.com Simple Linear Regression Salary Data Simple Linear Regression y = b0 + b1*x1 #nums are subscript y is the dependent variable (DV) what are we looking for? x1 is the dependent variable (IV) our data to make predictions ...
from Pages.ContentPages.BasePage import Page from selenium.webdriver.common.by import By import time, pytest from magic_box.find_elements import find_element from selenium.webdriver.support.ui import Select class WebformCT(Page): def __init__(self, driver): self.driver = driver super().__init__(dr...
from nmt.evaluation.configuration import TransformerModelConfig from nmt.evaluation.evaluator import Evaluator
#!/usr/bin/env <a href="http://lib.csdn.net/base/python" class='replace_word' title="Python知识库" target='_blank' style='color:#df3434; font-weight:bold;'>Python</a> # coding=utf-8 import urllib import http.cookiejar import re import socket class OpenUrl: def __init__(self): self.result = "" def openpa...
import sys import ROOT import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import UnivariateSpline def main(): # Load data. df = ROOT.TFile('../modeling-1/ds_test.root', 'update') tree = df.Get('t') # Set batch mode. ROOT.gROOT.SetBatch(0) # Create the canvas and set th...
import decimal from collections import OrderedDict from decimal import Decimal from functools import partial from onegov.core.security import Private from onegov.form import merge_forms from onegov.org import OrgApp, _ from onegov.org.forms import DateRangeForm, ExportForm from onegov.org.layout import PaymentCollectio...
import numpy as np from scipy.optimize import minimize import open3d from loadOBJ import loadOBJ from method import * from PreProcess import PreProcess import figure2 as F E_list = [] #####最適化する関数################################################# ###epsilon, alphaは調整が必要 def func(p, X, Y, Z, normals, fig, epsilon=0.7,...
from typing import NamedTuple from enum import Enum, Flag, auto class Mode(Flag): """Enum of program running modes.""" Signature = auto() Application = auto() Mode.__module__ = "pyteal" OpType = NamedTuple('OpType', [('value', str), ('mode', Mode), ('min_version', int)]) class Op(Enum): """Enum...
# Parameters, Unpacking, Variables from sys import argv # read the WYSS section for how to run this # this is a kind of unpacking. Instead of keeping all variable names in argv # we are assigning them to different variables script, first, second, third = argv # script is the name of this script; ex13.py # first, sec...
"""Calendar is a dictionary like Python object that can render itself as VCAL files according to rfc2445. These are the defined components. """ from datetime import datetime, timedelta from icalendar.caselessdict import CaselessDict from icalendar.parser import Contentline from icalendar.parser import Contentlines fro...
from pyspark import SparkContext, SparkConf import sys import pandas as pd import numpy as np from pyspark.mllib.regression import LabeledPoint from pyspark.mllib.tree import DecisionTree if len(sys.argv) < 2: print 'requires second parameter as training file' sys.exit(0) conf = SparkConf().setMaster("mesos://meso...
import tensorflow.keras.backend as K from tensorflow.keras.models import Model from tensorflow.keras.layers import Input, Dense, Flatten, Dropout, BatchNormalization from tensorflow.keras.layers import Conv2D, SeparableConv2D, MaxPool2D, Activation from tensorflow.keras.optimizers import Adam from tensorflow.keras.prep...
""" Asteroid destroyer para Micro:bit - Destrua todos os asteroides o mais rápido possível. Inicialmente será exibido um rosto feliz, para iniciar precione ou o botão A ou B. Botão A - para iniciar no modo fácil (toda tela será usada para mostrar os próximos asteroides) Botão B - para iniciar no modo Difícil (a...
from flask import render_template, flash, redirect, url_for from flask_app import app from webapp.forms import LoginForm from webapp.forms import FeedForm from webapp.call_function import call_function from flask import Flask, request, render_template import requests import os from generator.generate import generate_tw...
from django.conf.urls import patterns, url from . import views as notice urlpatterns = patterns('', url(r'^read-notice/$', notice.read_notice, name='read_notice' ), )
#__author: "Jing Xu" #date: 2018/1/19 import os # ---------------------------------------------------------------------- # print(os.getcwd()) # print(os.curdir) # print(os.pardir) # os.chdir(r'D:\\') # # os.makedirs('abc\\alex') # os.removedirs('abc\\alex') #只能删除空文件夹 # -----------------------------------------------...
set1 = {1,2,3,5,"Print",5.3, 1, 2,3} set1 = list(set1) print(set1)
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2017-11-22 11:36:28 # @作者 : "jym" # @说明 : # @Version : $Id$ import tornado.ioloop import tornado.web import tornado.autoreload import Queue from config import master_ip from db.WenShuCourtDB_Mongo import WenshucoutMongoDb import db_tasks import tcelery im...
#!/usr/bin/env python from GENIutils import * def main(): dirList = [] resultsList = [] trafficList = [] finalBreakTime = 0 convergenceTime = 0 endNodeNamingSyntax = getConfigInfo("RSTP Utilities", "endNodeName") if(len(sys.argv) != 2): sys.exit("Incorrect Number of Arguments given...
from py_pipe.pipe import Pipe influxdb_token = "UzWGrd7DzTahaedkk1PwblSOZlz28wlT-HIoLUnlzEOI0AAu1qtTT9EVnVgLH_Ti6ToYERDCojKLvE3z5p608w==" influxdb_org = "infosys" infuxdb_bucket = "surveillance" influxdb_url = "http://localhost:8086" crowd_count_video = "./data/videos/crowd7.mp4" vehicle_detection_video = 'video2.mp4...
from faker import Faker import random import json fake = Faker() with open("data.json", "r") as file: data = json.load(file) Id = 0 for chair in data["chairs"]: for teach in chair["teachers"]: teach["id"] = Id Id += 1 with open("data.json", "w") as file: json.dump(data,...
from django import forms from .models import ComplaintForm, Invoice class DocumentForm(forms.ModelForm): class Meta: model = ComplaintForm fields = '__all__' class InvoiceForm(forms.Form): FORMAT_CHOICES = ( ('pdf', 'PDF'), ('docx', 'MS Word'), ('html', 'HTML'), )...
#!/usr/bin/env python #/******************************************************************************* #* Copyright (c) 2018 Elhay Rauper #* All rights reserved. #* #* Redistribution and use in source and binary forms, with or without #* modification, are permitted (subject to the limitations in the disclaimer #* bel...
from collections import namedtuple import re handlers = list() preprocessors = list() skipped_handlers = list() #Datatype class class Message(namedtuple('Message', 'msgtype, submsgtype, time, restofline, orig_line')): pass #Function decorator, will add function to the skipped_handlers list def handles_skipped(even...
from contextlib import contextmanager from os import chdir from pathlib import Path from typing import Generator, Union # Replicated from equium.common.fs (so we have no dependencies on internal libraries) @contextmanager def cd(path: Union[str, Path]) -> Generator[None, None, None]: """Unix-like cd as a context ...
""" Plot and save images """ import matplotlib.pyplot as plt import matplotlib.image as mpimg import os.path import numpy as np import cv2 def bgr2rgb(img): # OpenCV's BGR to RGB rgb = np.copy(img) rgb[..., 0], rgb[..., 2] = img[..., 2], img[..., 0] return rgb def check_do_plot(func): def inner(self, *args...
#!/usr/bin/env python import os import sys import subprocess from distutils.core import setup, Command try: # Python 3.x from distutils.command.build_py import build_py_2to3 as build_py except ImportError: # Python 2.x from distutils.command.build_py import build_py class PyTest(Command): user_optio...
from __future__ import print_function import numpy as np import h5py import json import math import os import tensorflow as tf from tensorflow.python.framework import tensor_util from hls4ml.model import HLSModel from hls4ml.model.optimizer import optimize_model MAXMULT = 4096 class TFDataReader: def __init__(se...
from GizmoTransformImpl import *
person = {'name': 'John', 'age': 26} sentence = 'My name is ' + person['name'] + ' and I am ' + str(person['age']) + ' years old.' print(sentence) sentence1 = 'My name is {} and I am {} years old'.format(person['name'], person['age']) print(sentence1) sentence1 = 'My name is {1} and I am {0} years old'.format(person...
#!/usr/bin/env python3 # # Convert a test specification to command-line options # import pscheduler from validate import spec_is_valid from validate import MAX_SCHEMA try: spec = pscheduler.json_load(exit_on_error=True, max_schema=MAX_SCHEMA) except ValueError as ex: pscheduler.fail(str(ex)) valid, message ...
from django.contrib.auth.models import AbstractUser from django.db import models class User(AbstractUser): last_order = models.ForeignKey( "Order", on_delete=models.CASCADE, null=True, blank=True, related_name="+" ) class Product(models.Model): user = models.ForeignKey( User, on_delete=m...
from __future__ import division from collections import namedtuple import numpy as np import torch Experience = namedtuple("Experience", field_names=["state", "action", "reward", "next_state", "not_done"]) device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") class SegmentTree(): def __init__(se...
# Copyright 2017 NEC Corporation # # 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 t...
# coding: utf-8 class Solution: # @param s, a string # @return an integer def lengthOfLastWord(self, s): l = s.strip().split(' ') return len(l[-1])
class Solution: def arrangeCoins(self, n: int) -> int: lo, hi = 0, n while lo <= hi: mid = (lo + hi) >> 1 cost = (mid + 1) * mid // 2 if cost == n: return mid elif cost < n: lo = mid else: hi ...
import tkinter as tk from PIL import Image import cv2 class Application(tk.Frame): img_gramado_22 = 'Gramado_22k.jpg' img_gramado_72 = 'Gramado_72k.jpg' img_space_187 = 'Space_187k.jpg' img_space_46 = 'Space_46k.jpg' img_underwater_53 = 'Underwater_53k.jpg' curr_img = None ...
import sys import random from .address import Address __all__ = [ 'NameServers', ] class RandMixIn: def get(self): if not self.data: return return random.choice(self.data) def success(self, item): pass def fail(self, item): pass if sys.version_info > (3, 6): clas...
# Generated by Django 2.0.5 on 2018-05-20 11:09 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('jobs', '0002_job_link'), ] operations = [ migrations.AlterField( model_name='job', name='link', field=mo...
# -*- 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...
""" Solution for simple logistic regression model for MNIST with placeholder MNIST dataset: yann.lecun.com/exdb/mnist/ Created by Chip Huyen (huyenn@cs.stanford.edu) CS20: "TensorFlow for Deep Learning Research" cs20.stanford.edu Lecture 03 """ import os os.environ['TF_CPP_MIN_LOG_LEVEL']='2' import numpy as np import...
#!/usr/bin/python3.4 # coding: utf8 import sys,os,subprocess def listdir_fullpath(d): return [os.path.join(d, f) for f in os.listdir(d)] print(d,f) folders2averages=sys.argv[1:] for f in folders2averages: images=listdir_fullpath(f) subprocess.call(["convert"]+images+["-average",f+"average.pn...
from django.core.management.base import BaseCommand from course_selection.models import Meeting class Command(BaseCommand): def handle(self, *args, **options): all_meetings = Meeting.objects.all() for meeting in all_meetings: # trim days into the first 10 chars meeting.da...
# encoding: utf-8 from ..templates.admin.uploadfiles import uploadfilestemplate from collections import defaultdict import json import os class UploadFiles: __dispatch__ = 'resource' __resource__ = 'uploadfiles' def __init__(self, context, name, *arg, **args): self._ctx = context self.que...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # @Author: thuzhf # @Date: 2016-04-20 19:48:52 # @Email: thuzhf@gmail.com # @Last Modified by: thuzhf # @Last Modified time: 2016-04-22 14:54:23 import sys,os,re,json,gzip,math,time,datetime,random import functools,itertools,requests,copy,pprint import multiprocessin...
""" 从词霸中获取每日一句,带英文。 http://open.iciba.com/dsapi """ import requests from common import (is_json) __all__ = ['get_iciba_info'] def get_iciba_info(): print('获取格言信息(双语)...') try: req = requests.get('http://open.iciba.com/dsapi') if req.status_code == 200 and is_json(req): ...
print("WELCOME TO GUESS THE NUMBER") print("="*27) n=15 g=0 while(n==15): if (g<4): g=g+1 i=int(input("Guess the number")) print("This was attempt number",g,",",5-g,"remaining") if (i<n): print("Try a greater number") elif (i>n): print("T...
## # 2019 Mieszko Mazurek <mimaz@gmx.com> ## from dxfwrite import DXFEngine as dxf import math PI = math.acos(0) * 2 class Vector: def __init__(self, x, y): self.x = x self.y = y def __hash__(self): return hash(self.x + 1000000 + self.y) def __eq__(self, other): return...
#version 1.3 #transfer from perl to python import re, sys, urllib2 import libxml2 import hashlib from datetime import date from datetime import date import random, time sys.path.append('/home/zuofeng/projects/platform/bminfo/bminfo/scripts') import ground as gd from ppMapDB import ppMapMySQL pp = ppMapMySQL('bminfo'...
import time import json import datetime from . import db from .exceptions import ActivityError import werkzeug.http from werkzeug.security import generate_password_hash, check_password_hash from itsdangerous import TimedJSONWebSignatureSerializer as Serializer from flask import current_app, jsonify, request from functo...
from django.db import models class Song(models.Model): name = models.CharField(max_length=255, blank=False) image = models.CharField(max_length=255, blank=True) singer = models.CharField(max_length=255, blank=True) genre = models.CharField(max_length=255, blank=True) class Meta: verbose_na...
m=int(input()) n=int(input()) k=int(input()) if k>m*n: print('NO') elif k%m==0: print('YES') elif k%n==0: print('YES') else: print('NO')
from manimlib.imports import * ## Functions def divergence(vector_func, dt=1e-7): def result(point): value = vector_func(point) return sum([ (vector_func(point + dt * RIGHT) - value)[i] / dt for i, vect in enumerate([RIGHT, UP, OUT]) ]) return result def two_d_c...
# -*- coding: utf-8 -*- #!/usr/bin/env python3 import sys import os import pwd import indexing import math from datetime import datetime import collections import cfc_tools def main(): if len(sys.argv) != 3: print('alefrise 2016 - Alef Recumeração de informação [Search Engine]') print(' Uso: p...
l = [] i = 0 l_divisible7 = [] while len(l) != 100: l.append(i + 1) if not l[i] % 7 and l[i] % 5: l_divisible7.append(l[i]) i += 1 print(l_divisible7)
# coding: utf-8 """ LoRa App Server REST API For more information about the usage of the LoRa App Server (REST) API, see [https://docs.loraserver.io/lora-app-server/api/](https://docs.loraserver.io/lora-app-server/api/). # noqa: E501 OpenAPI spec version: 1.0.0 Generated by: https://github.co...
# Generated by Django 3.1.6 on 2021-07-05 12:01 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('cabroozadmin', '0022_driverdetails'), ] operations = [ migrations.RenameField( model_name='driverdetails', old_name='status'...
MONGODB_URL = "mongodb://localhost:27017/" PORT = 5005 IS_DEBUG = False UPLOAD_FILE_DIRNAME = 'uploads'
# coding: utf-8 from me.tool import Data import numpy as np import operator from math import log import treePlotter import pickle def getDataAndLabel(fileName): data = Data.getDataFromFile(fileName) ndata = np.array(data) labels = (ndata[:,30:]).T result = ndata[:,:30] return result,labels[0] def ...
"""Given preorder traversal of a binary search tree, construct the BST.""" class PreorderPos: data = None index = None class Node(object): def __init__(self, key, left=None, right=None): self.key = key self.left = left self.right = right @classmethod def from_preorder(cls,...
"""ConversationEvent base class and subclasses. These classes are wrappers for hangouts_pb2.Event instances. Parsing is done through property methods, which prefer logging warnings to raising exceptions. """ import logging from hangups import parsers, message_parser, user, hangouts_pb2 logger = logging.getLogger(__...
''' This module will be used to generate plots Author: Daniel Newman 2016-12-13 - cleaned up compare_responses() function 2017-01-30 - Added capability to automatically remove illegal windows characters from file names ''' import matplotlib as mpl from matplotlib import pyplot as plt import os import numpy as np im...
#!/usr/bin/env python # This python use super for test. __metaclass__=type class Bird: def __init__(self): self.hungry=True def eat(self): if self.hungry: print('Ahhh....') self.hungry=False else: print('No,thanks!') class SongBird(Bird): def __ini...
#!/usr/bin/python from PyQt4.QtGui import (QMainWindow, QApplication, QTreeWidgetItem) from PyQt4 import QtCore, QtGui import sys from gui.mainwindow import Ui_MainWindow import datetime from helpers.helpers import TaskItem from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer, ...
from xmind.tests import logging_configuration as lc from xmind.core.position import PositionElement from xmind.tests import base from unittest.mock import patch from xmind.core.const import TAG_POSITION, ATTR_X, ATTR_Y class TestPositionElement(base.Base): """Test class for PositionElement class""" def getLo...
import re original_text = """"a1 asdkjjflewjrkjhwkejhqkjr b3 asdlkfhwkejhrkjwehkjrhwjr 3k fqkwjehrkjwhrkjwqherkjwqhr 5j qkjwehrkjewqhrkjewqjherewkq k4 qwjkerhkjwqehrjkewqhrkjqw 9p wqjerhkjweqherkjwehrjkewqh u9 jhdjhrkjwherkjhwqekrehwjkr """ p = re.compile("[a-z][0-9]") m = p.match(original_text) # 매칭이 된다. #대소문자 구분 중요ㅍ...
openweather_api = '7b70bf3314ed64799900c0b315a53df2' maps_places_api ='eotpicYMnWHOwiNYfxZAfi8vMOizbSdE' news_api_key = '567ed6fb99a84bdd934e0910adb37ebd'
import numpy import math from keras.utils import Sequence class LNDbSequence(Sequence): def __init__(self,inputs,outputs,batchSize): # author Rebecca Hisey self.inputs = numpy.array([x[0] for x in inputs]) self.targets = numpy.array([x[0] for x in outputs]) self.batchSize = batchSiz...
# -*- coding: utf-8 -*- __author__ = """WebLion <support@weblion.psu.edu>""" __docformat__ = 'plaintext' from AccessControl import ClassSecurityInfo from Products.Archetypes.atapi import * from archetypes.referencebrowserwidget.widget import ReferenceBrowserWidget from Products.CMFCore.permissions import View from Pr...
import pygame from config import Options class Progressbar(object): def __init__(self, x, y, width, height, percentage, bgcolor, border_color, label): self.width = width self.height = height self.x = x self.y = y self.rect = pygame.Rect(x, y, width, height...
import argparse from . import config parser = argparse.ArgumentParser() parser.add_argument("envType", type=str) parser.add_argument("envName", type=str) parser.add_argument("action", type=str) parser.add_argument("-lr","--learning_rate", type=float, default=0.00025) parser.add_argument("-e","--epsilon", type = float,...
import numpy as np import time import copy import functools import queue import multiprocessing import threading ############################################ ############################################ def calculate_mean_prediction_error(env, action_sequence, models, data_statistics): model = models[0] # ...
# -*- coding: utf-8 -*- """ Created on Fri Aug 3 00:10:15 2018 @author: YQ """ import cv2 import argparse import numpy as np ap = argparse.ArgumentParser() ap.add_argument("-s", "--stego_image", required=True, help="path to stego image") ap.add_argument("-r", "--recover_image", required=True, ...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models # Create your models here. class Materia(models.Model): id = models.CharField(max_length=50, primary_key=True) nombre = models.CharField(max_length=50) intensidad = models.PositiveIntegerField() #returna el nomb...
peso = float (input('digite seu peso:KG')) altura =float (input('digite sua altura:METROS')) imc = peso/altura**2 print('o seu IMC é {:.1f}:'.format(imc)) if imc <=18.5: print('você está abaixo do peso') elif imc>25: print('você está acima do peso') else: print('Você está no peso adequado,Parabéns!')...
# Copyright (c) 2016 # # 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, software #...
import time from threading import Semaphore, Thread class Lightswitch(object): def __init__(self): self.count = 0 self.mutex = Semaphore(1) def lock(self, semaphore): self.mutex.acquire() try: self.count += 1 if self.count == 1: # first o...
#!/usr/bin/env python # encoding: utf-8 """ sim_games.py Created by Jakub Konka on 2011-05-21. Copyright (c) 2011 University of Strathclyde. All rights reserved. """ from __future__ import division import sys import os import numpy as np def test_strict_dominance(matrix): row_set = set(tuple(row) for row in matrix)...
import sys sys.stdin=open("input.txt", "r") # 2048 (Easy) import copy def printPretty(board): for i in range(N): print(board[i]) def moveUp(board): newboard = copy.deepcopy(board) for r in range(1, N): for c in range(N): nowR = r if newboard[r][c] != 0: ...
""" Author: Sidhin S Thomas (sidhin@trymake.com) Copyright (c) 2017 Sibibia Technologies Pvt Ltd All Rights Reserved Unauthorized copying of this file, via any medium is strictly prohibited Proprietary and confidential """ from django.contrib.auth.decorators import login_required from django.contrib.auth.models im...
#!/usr/bin/python # -*- coding: utf-8 -*- import os from os.path import isfile, isdir, join import sys reload(sys) sys.setdefaultencoding('utf-8') os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' fileDir = os.path.dirname(os.path.realpath(__file__)) sys.path.append(os.path.join(fileDir, "..", "..")) import numpy as np import ...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models from django.conf import settings class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.Create...