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class Solution: def findDisappearedNumbers(self, nums: List[int]) -> List[int]: #return list((set(nums)^set([x for x in range(1,len(nums)+1)]))) if not nums: return [] for i in range(len(nums)): if nums[abs(nums[i])-1]>0: nums[abs(nums[i])-1] *= -1 ans = [] for i in range(len(nums)): if nums...
import urllib.request, re, time, random, time, winsound, webbrowser TARGET="June" URL="https://store.htcvivecart.com/store/htcus/en_US/quickcart/ThemeID.40533800/OfferID.48383055501" isFound=False count=0 def check(): f=urllib.request.urlopen(URL) source=f.read() res=re.match(".*"+TARGET,str(source)...
#!/usr/bin/python # -*- coding:utf-8 -*- # This is a dictionary script # Author: Eason import json dict = {} flag = 'a' tod = 'p' di = 'n' while flag == 'a' or tod == 'p': flag = raw_input("请输入选择项,(a)添加姓名,(s)查找姓名: ") if flag == 'a': print "请输入姓名、年龄和部门,谢谢。" dict ['姓名'] = raw_input("姓名: ") ...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import django.utils.timezone import django.core.validators class Migration(migrations.Migration): dependencies = [ ('auth', '0001_initial'), ] operations = [ migrations.CreateModel( ...
# encoding:utf-8 __author__ = 'hanzhao' import urllib def run(msg): if '<br/>' in msg: #为群聊消息时候 [FromUser,msg] = msg.split('<br/>') else: #为个人消息时候 pass if msg in ['打开英雄榜','.英雄榜']: return 'http://www.battlenet.com.cn/wow/zh/' if msg.startswith('英雄榜') a...
#coding=utf-8 flag = bin(int('flag{0123456789abcdef}'.encode('hex'),16))[2:] s='01' # or '10' for i in range(len(flag)): if flag[i]=='1': s+=s[-2:][::-1] else: s+=s[-2:] print hex(int(s,2))[2:-1] #6565659565569a99665959555956a6a55959596aa696a69aa69959aaa6569aa9655a9aa69a95656965656669 r="" tmp =...
""" views has functions that are mapped to the urls in urls.py """ import datetime import io from collections import OrderedDict import xlsxwriter from fuzzywuzzy import fuzz from django.core import serializers from django.core.exceptions import ObjectDoesNotExist from django.http import HttpResponseForbidden, HttpResp...
import mysql.connector from mysql.connector import Error try: con = mysql.connector.connect(host='localhost', database='db_products', username='root', password='') query = "SELECT * FROM tbl_products" cur = con.cursor() cur.execute(query) records = cur.fetchall() print("Number of recor...
from config import config, desarollo from flask_script import Manager, Server #inportat funcion from src import ini_app configuracion = config['desarollo'] app = ini_app() # configuracio del server Manager = Manager(app) Manager.add_command('runserver', Server(host='127.0.0.1', port=9200)) if __name__ == '__main_...
import os import sys import csv import json import jsonschema import requests from pyelasticsearch import ElasticSearch import xlrd import xlwt from base64 import b64encode # set headers. UNCLEAR IF THIS IS USED PROPERLY HEADERS = {'content-type': 'application/json'} # get object from server def get_ENCODE(obj_id): ...
# Generated by Django 3.0.7 on 2020-10-09 07:42 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('cl_table', '0005_auto_20201009_0730'), ] operations = [ migrations.CreateModel( name='Stock', fields=[ ...
from django.contrib import admin from django.conf.urls import include from django.urls import re_path from stored_messages.tests.views import message_view, message_create, message_create_mixed admin.autodiscover() urlpatterns = [ re_path(r'^consume$', message_view), re_path(r'^create$', message_create), ...
from django.db import models from django.utils import timezone # from django.contrib.auth.models import User from account.models import customUser from django.urls import reverse # Create your models here. class Plant(models.Model): name = models.CharField(max_length=100) description = models.TextField() date_poste...
from xmind.tests import logging_configuration as lc from xmind.core.topic import TopicElement from xmind.tests import base from unittest.mock import patch, Mock, PropertyMock, call from xmind.core.const import ( TAG_TOPIC, TAG_TOPICS, TAG_TITLE, TAG_MARKERREF, TAG_MARKERREFS, TAG_POSITION, T...
#!/usr/bin/env python3 import os import pathlib source_root = pathlib.Path(os.environ['MESON_DIST_ROOT']) modfile = source_root / 'prog.c' contents = modfile.read_text() contents = contents.replace('"incorrect"', '"correct"') modfile.write_text(contents)
# This file is part of the pyMOR project (http://www.pymor.org). # Copyright 2013-2020 pyMOR developers and contributors. All rights reserved. # License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause) from pymor.core.base import ImmutableObject class InstationaryProblem(ImmutableObject): """I...
from ..base import * from ..button import * from ..toolbar import * from ..dialog import * class SnapButton(ToolbarButton): def __init__(self, toolbar): tooltip_text = "Enable snapping" command = lambda: Mgr.update_locally("object_snap", "snap") ToolbarButton.__init__(self, toolbar, "",...
import numpy as np import PIL.Image import PIL.ImageDraw import PIL.ImageFilter import PIL.ImageFont import PIL.ImageOps from ..image import image_line from .mullerlyer_parameters import _mullerlyer_parameters def _mullerlyer_image(parameters=None, width=800, height=600, outline=20, background="white", **kwargs): ...
import sys if __name__ == "__main__": ops = [l.strip() for l in sys.stdin] SIGNAL = [1, 1] for op in ops: if op.startswith("noop"): SIGNAL.append(SIGNAL[-1]) else: _, v = op.split() SIGNAL.append(SIGNAL[-1]) SIGNAL.append(SIGNAL[-1] + int(v...
import os def main(): for count, filename in enumerate(os.listdir("out/itemTrendDetail")): data = str(filename).decode() print(data) if __name__ == '__main__': main()
# Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None def Postorder_Traverse(root): ret = [] stack = [] while True: # the same as in order while now: stack.append([now, ...
# -*- coding: utf-8 -*- """ Created on Sun Jun 2 18:36:46 2019 @author: Thomas """ import os os.chdir('C:\\Users\\Thomas\\Documents\\Uni_masters\\Masterpraktikum') from CustomDataset import CustomDataset from CNN import SimpleCNN import numpy as np import pickle import torch from torch.utils.data import DataLoader im...
# -*- coding: utf-8 -*- # Generated by Django 1.9.5 on 2016-04-20 21:45 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): initial = True dependencies = [ ('contentt...
import unittest class Solution: def lengthOfLongestSubstring(self, s): """ :type s: str :rtype: int """ letter_to_ind = {} l = 0 ans = 0 for r in range(len(s)): if s[r] in letter_to_ind: l = max(l, letter_to_ind[s[r]]) ans = max(ans, r - l + 1) letter_to_ind[s[r]] = r + 1 return ans cl...
# coding: utf-8 # 导入数据集mnist from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("./../data/MNIST/", one_hot=True) import tensorflow as tf import os INPUT_NODE = 784 OUTPUT_NODE = 10 IMAGE_SIZE = 28 NUM_CHANNELS = 1 NUM_LABEL = 10 # 第一层卷积层的尺寸和深度 CONV1_DEEP = 32 CONV1_SIZE...
import peri0 import time def touchsound(): buzzer = peri0.Buzzer() buzzer.set_tempo(180) buzzer.tone(4,"MI",1/8) def opensound(): buzzer = peri0.Buzzer() buzzer.set_tempo(120) opensound = ((4,"DO",1/4), (4,"MI",1/4),(4,"SOL",1/4)) buzzer.play(opensound) def closesound(): buzzer = per...
import torch import torch.nn as nn import torch.nn.functional as F from vdgnn.units import DynamicRNN class DiscriminativeDecoder(nn.Module): def __init__(self, args, encoder): super(DiscriminativeDecoder, self).__init__() self.args = args # share word embedding self.word_embed =...
import re import psutil import misc import socket from mylogger import iotlogger logger = iotlogger(loggername="DevStatus") def handle_exception(function): def wrapper_function(*args, **kwargs): try: return function(*args, **kwargs) except Exception as e: logger.error("Erro...
# Generated by Django 2.2.3 on 2019-10-24 17:21 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Background', fields=[ ('id', models.AutoFie...
from flask import Flask, render_template app = Flask(__name__) @app.route('/') def index(): return 'Hello' @app.route('/about') def about(): return 'Built by Chris Grant' if __name__ == '__main__': app.debug = True app.run('localhost', port=3000)
from mod1 import City mayor = City(10000) mayor.gradual_peace(5000)
# start pt2 8:55 - paused 9:30 # unpaused 13:30 - solved pt2 13:50 for noun in range(100): for verb in range(100): filepath = 'input_2019-2.txt' with open(filepath) as fp: xintcode = [int(x) for x in fp.readline().split(",")] # print( noun, verb ) xintcode[1] = n...
import scipy as sp import OpenPNM import pytest def test_find_connected_pores(): pn = OpenPNM.Network.Cubic(shape=(10,10,10)) a = pn.find_connected_pores(throats=[0,1]) assert sp.all(a.flatten() == [0, 1, 1, 2]) a = pn.find_connected_pores(throats=[0,1], flatten=True) assert sp.all(a == [0, 1, 2]) ...
import cv2 import numpy as np from time import sleep width_min=80 #MIN WIDHT height_min=80 #min height offset=6 pos_line=550 #LINE POSITION delay= 60 # VIDEO FPS detect = [] cars= 0 # NO of CARS def takes_center(x, y, w, h): # FRAME CENTER x1 = int(w ...
#! /usr/bin/python class HelloWorld(): def __init__(self): self.words = ['Beijing','Chongqing','Shanghai'] self.capitals = ['Beijing','WashtionDC','Berlin'] def printword(self): for w in self.words: if w == 'Beijing': print 'Beijing is the capital of China' else: for c in self.capitals: if ...
import Functions.datafunctions as df import Functions.vasicek_loop as vl import numpy as np import scipy.stats as stats import matplotlib.pyplot as plt delinq_data = df.get_data() last_pd = {} score_b = delinq_data["CREDIT_BUCKET"].unique()[delinq_data["CREDIT_BUCKET"].unique() != "No Score"] for c in score_b: ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Sep 1 17:13:02 2020 @author: baxcruiser """ n=int(input()) ar=list(map(int,input().strip.split())) pairs = 0 for element in set(ar): pairs += ar.count(element) // 2 print(pairs)
import os class Node: """Data structure for creating n-ary trees. """ def __init__(self, word, index=1, parent=None): self.index = index self.word = word self.parent = parent self.children = [] def add_child(self, word): if self.has_child(word): re...
print("Welcome to hello world! \n\n")
import requests from lxml import etree from urllib import request import os import re import threading from queue import Queue class Producer(threading.Thread): headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/77.0.3865.90 Safari/537.36' ...
import solve data = [ [5, [2, 1, 2, 6, 2, 4, 3, 3], [3,4,2,1,5]], [4, [4,4,4,4,4], [4,1,2,3]] ] def test(N, stages, res): ans = solve.solution(N, stages) assert ans == res for d in data: test(d[0], d[1], d[2])
#!/usr/bin/python # -*- coding: utf-8 -*- # Author: Gusseppe Bravo <gbravor@uni.pe> # License: BSD 3 clause """ This module provides the logic of the whole project. """ import define #import analyze import prepare import feature_selection import evaluate import time import os from pyspark.ml import Pipeline from p...
#!/usr/bin/python3 class Point: """ Create a new Point, at coordinates x, y """ def __init__(self, x=0, y=0): """ Create a new point at x, y """ self.x = x self.y = y def distance_from_origin(self): """ Compute my distance from the origin """ return ((self.x ** 2)...
import sys import multiprocessing import threading import ipyparallel import numpy as np from time import time import pickle import argparse def timer(fn): """Timing decorator""" def timed(*args, **kwargs): start = time() result = fn(*args, **kwargs) end = time() print(fn.__nam...
class Solution(object): def isPowerOfThree(self, n): """ :type n: int :rtype: bool """ if n == 0: return False while n % 3 == 0: n /= 3 return n == 1 def isPowerOfThreeR(self, n): """ :type n: int :rtype: bool "...
import argparse import base64 import json import sys import functools import requests def generate_json_data(image_filename, output_filename): """Translates the input file into a json output file. Args: input_file: a file object, containing lines of input to convert. output_filename: the nam...
class DuplicateHandlerError(Exception): """ Raised when a handler with a duplicate id or shortcode exists. """ class InvalidStateChange(Exception): """ Raised when an invalid state change is executed (e.g. closing an open ticket without the intermediary 'pending' step). """
from django.contrib import admin from import_export import resources from import_export.admin import ImportExportModelAdmin from products.models import Product from . import models class ProductInline(admin.StackedInline): model = Product fields = ('id', 'name', 'price') extra = 0 show_change_link = ...
import csv import re def get_category_list(category_string): if not re.search('[a-zA-Z]', category_string): return [] category_string.lower() category_string.strip() return re.split('\*',category_string) def title_string_to_file_name(title_string): title_string.strip() title_string = ...
#!/usr/bin/env python # -*- coding: utf-8 -*- from plugins.plugin import Plugin from components.constants import * class Dilatacao(Plugin): def __init__(self): self.x = 0 self.y = 0 self.w = 0 self.h = 0 pass def set_properties(self, data): #Escrev...
import sys, time, json, time, random, string from argparse import ArgumentParser from datetime import datetime from kafka import KafkaProducer def randomname(n): return ''.join(random.choices(string.ascii_letters + string.digits, k=n)) def get_option(topic, num): argparser = ArgumentParser(description='This s...
import os import joblib import pandas as pd import statsmodels.api as sm class Modeler_Price: def __init__(self): self.df = pd.read_csv('D:/MY DATA\Desktop/DB/Proposal/new Senior/Models Deployment/All Models/modeler/Price_Deployment_Data.csv') try: self.model = joblib.load('models/price.mo...
N = int (input ()) M = int (input ()) print (N * M * (N + 1) * (M + 1) // 4)
######saral que 4 # number=[50,40,23,70,56,12,5,10,7] # i=0 # sum=number[i] # length=len(number) # while i<length: # a=number[i] # if a<sum: # sum=a # i=i+1 # print(a,"is second greater number")
import zipfile,re zf = zipfile.ZipFile("channel.zip","r") num = 90052 comments = [] while True: try: num = int(re.findall('\d+',zf.read(str(num)+".txt"))[0]) except: print zf.read(str(num)+".txt") break comments.append(zf.getinfo(str(num)+".txt").comment) print "".join(comments) ...
################################################### ## By Dan Melacon, Jeff Ong, and Kat Sullivan ################################################### import serial, sys, binascii addresses={ 'radio1': '0013A200409756B8', 'radio2': '0013A200409756BD', 'radio3': '0013A20040975703', 'radio4': '0013A200409756E2' } r...
#ex016.py:私有成员的访问 class A: def __init__(self, value1=0, value2=0): self._value1 = value1 self.__value2 = value2 def setValue(self, value1, value2): self._value1 = value1 self.__value2 = value2 def show(self): print(self._value1) print(self.__value2)
import torch import torch.nn as nn import numpy as np from edflow.util import retrieve from iin.models.ae import FeatureLayer, DenseEncoderLayer, weights_init class Distribution(object): def __init__(self, value): self.value = value def sample(self): return self.value def mode(self): ...
import keras from keras import models, layers from keras import backend class CNN(models.Sequential): def __init__(self, inputShape, numOfClass): super().__init__() self.add(layers.Conv2D(32, kernel_size = (3, 3), activation = 'relu', ...
from django import forms from django.contrib.auth.models import User from .models import * from django.contrib.auth.forms import UserCreationForm, AuthenticationForm, UsernameField from django.contrib.admin.widgets import AdminDateWidget from django.forms.fields import DateField from django.forms import CharField, Mode...
def do(): month = int(input('Введите номер месяца: ')) print('Решение через списки') winter = [1, 2, 12] spring = [3, 4, 5] summer = [6, 7, 8] autumn = [9, 10, 11] if month in winter: print('Зима') elif month in spring: print('Весна') elif month in summer: pr...
import cv2 import time from invoke import run cmd = "xdotool search --onlyvisible --class 'Chrome' windowfocus key 'space'" cap = cv2.VideoCapture(0) r_t = (70,200) r_b = (200,370) last_jump = time.time() while (True): _, frame = cap.read() frame_copy = frame.copy() frame = cv2.cvtColor(frame, cv2.COLOR_RG...
r""" Composition Statistics (:mod:`skbio.stats.composition`) ======================================================= .. currentmodule:: skbio.stats.composition This module provides functions for compositional data analysis. Many 'omics datasets are inherently compositional - meaning that they are best interpreted as...
#!/usr/bin/python # Copyright (C) 2009, Sugar Labs # # 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 2 of the License, or # (at your option) any later version. # # This program is...
import re from DisplayFile import DisplayFile from Figuras import Poligono class DescritorOBj: def __init__(self): self.DisplayFile = DisplayFile() def importFile(self, path): self.DisplayFile.limpar() vertices = dict() vertice_counter = 0 nome = "" self.file = open(path, "r+") # read an...
#Keyboard row class Solution(object): def findWords(self , words): r1 = set('qwertyuiop') r2 = set('asdfghjkl') r3 = set('zxcvbnm') return[w for w in words if any(set(w.lower()) <= r for r in (r1 , r2 , r3))] s = Solution() words = ["Hell...
from collections import OrderedDict import numpy as np from typing import Dict from module import Module, Parameter from operators import PlusOperator, MulOperator class FullyConnectedLayer(Module): def __init__(self, input_size: int, output_size: int, w_init_p...
# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://doc.scrapy.org/en/latest/topics/items.html from scrapy import Item,Field class ScrapyItem(Item): image_url=Field() class JianshuItem(Item): nickname = Field() description = Field() followed = ...
import maya.cmds as cmds import os from functools import partial import Utils.Utils_File as fileUtils #NOET: Remove this import! import Utils.Utils_Part as Utils_Part reload(Utils_Part) class PartParam_UI: def __init__(self, *args): """ Create a dictionary to store UI elements """ self.U...
one = ["Primeiro", "Segundo", 3, 4] print ("Lista eh", one); print ("Olha o ", one[-4], " position -4")
#coding: utf8 import util_pickle as up from char_feature import * from char_feature_lib_builder import * from switcher import * # FeatureDiv = 10000 FDIV = 10000 def get_allowance_list(): lst = [0] for k in range(10000 * 0.10): #容许度 10% lst.extend([k, -k]) return lst def search_recur(ftree, t...
# This file is only intended for development purposes from kubeflow.kubeflow.cd import base_runner base_runner.main(component_name="notebook_controller", workflow_name="nb-c-build")
from selenium import webdriver from time import sleep driver = webdriver.Chrome() driver.get("https://www.baidu.com") driver.set_window_size(480,800) #控制浏览器的大小 sleep(2) driver.refresh() sleep(2) driver.maximize_window() #浏览器全屏 sleep(2) driver.get("https://www.baidu.com") sleep(1) driver.back() #浏览器后退 sle...
import math # 调用数学库 # from math import pi def main(): # 计算圆的面积 r = eval(input("请输入待求圆的半径")) # input()输入圆的半径 并对输入的字符串进行格式转换(eval()) SquareR = pow(r, 2) # pow()函数为幂计算所用 其中pow(a,b)代表的是a的b次幂 # pow(Exp,x)->e^x S = SquareR * math.pi # 此处的math.pi为精度很高的常数 存放在math库中 # S = math.pi*r*r # prin...
#컴퓨터가 생각하는 수를 맞추기 #기회는 6번 #6번 이후에는 정답을 출력한다. import random as r root = tk.Tk() root.geometry("200x200") q_num = r.randint(1,100) print("----숫자 맞추기---", q_num) for num in range(1,7): u_ans = int(input("%d번째 예상 숫자: "% num)) if u_ans == q_num: print("정답이야!!") break if u_ans > q_num: ...
# Generated by Django 3.2.6 on 2021-08-30 04:52 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('product_register', '0001_initial'), ] operations = [ migrations.CreateModel( name='ProductOptio...
""" Type definition for model parameters """ from pydantic import BaseModel as _BaseModel, Extra, root_validator, validator from pydantic.dataclasses import dataclass from functools import partial from datetime import date from typing import Any, Dict, List, Optional, Union from autumn.settings.constants import ( ...
import PyPDF2 import nltk from os import walk from nltk.tokenize import word_tokenize, sent_tokenize from nltk.corpus import stopwords def get_all_files(folder_name): f =[] for (dirpath, dirnames, filenames) in walk(folder_name): f.extend(filenames) return f def save_text_file(file_name, file_tex...
# -*- coding: utf-8 -*- # flake8: noqa # Generated by Django 1.10.7 on 2017-06-08 15:27 from __future__ import unicode_literals import ckeditor_uploader.fields from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pages', '0012_auto_20170531_1612'), ] ...
# -*- coding: utf-8 -*- """ Created on Fri Apr 23 17:04:33 2021 @author: THIS-PC """ from tensorflow import keras import numpy as np import tensorflow as tf import matplotlib.pyplot as plt from tensorflow.keras import regularizers from tensorflow.keras import metrics import scipy.misc import os import numpy as np fro...
import numpy as np import PIL.Image import matplotlib.pyplot as plt def load_image(filename, max_size=None, shape=None): # PIL.Image.LANCZOS is one of resampling filter image = PIL.Image.open(filename) if max_size is not None: factor = max_size / np.max(image.size) # Scale the image"s height and widt...
a=list(input('Enter the list')) a*=0 print(a)
from flask import Flask from flask import jsonify from flask import request from logging.handlers import RotatingFileHandler from chat_service import chat from config import Config import logging app = Flask(__name__) app.config['PROPAGATE_EXCEPTIONS'] = False @app.route("/chat", methods=['POST']) def login(): d...
import sys import os from conans.client.output import ConanOutput from conans.client.rest.uploader_downloader import Downloader from conans.client.tools.files import unzip, check_md5, check_sha1, check_sha256 from conans.errors import ConanException _global_requester = None def get(url, md5='', sha1='', sha256=''):...
# -*- coding: utf-8 -*- import re from math import ceil from ipcalc import Network from django.db import models from django.core.exceptions import ValidationError from django.core.urlresolvers import reverse from datetime import datetime from django.utils.timezone import get_default_timezone STATUS_ALLOCATED = u'al...
import mmh3 from bitarray import bitarray import math class BloomFilter: def __init__(self, false_positive_rate, estimated_word_count): #find size and number of hashes desired for false positive rate and word count self.size = int((-estimated_word_count * math.log(false_positive_rate)) / (math.lo...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models class Consulta(models.Model): codigo = models.AutoField(primary_key=True) user_codigo = models.CharField(max_length=10) date = models.CharField(max_length=14) hora = models.CharField(max_length=10) coment...
#This is a sketchy Ripoff of pong using TK graphics #There will be two players, each controlled by a different set of keys, and there will be at least one ball import tkinter # built-in Python graphics library import os import random balls = [] players = [] class Thing(): def __init__(self,x,y): self.x = ...
with open("./learning_python.txt", "r") as f: origin = f.read() copyed=origin.replace("python","C") with open("./learning_python_copyed.txt","w") as f: f.write(origin+"\n"+copyed)
import os, sys import gmsh import numpy as np # ========================================================= # # === make__magnet routine === # # ========================================================= # def make__magnet(): # ------------------------------------------------- # #...
class Goods: def __init__(self): # 商品原始价格 self.original_price = 100 # 商品折扣 self.discount = 0.8 @property def price(self): # 实际价格 = 原价 * 折扣 return self.original_price * self.discount @price.setter def price(self,val): self.original_...
import pygame from src.gameObject import GameObject from src.sprite import SpriteSheet class Character(GameObject): def __init__(self, color, spritePath): super().__init__() self.color = color self.dimension = [40.0, 60.0] self.sprite = SpriteSheet(spritePath, 4, .25) self.s...
import numpy as np from time import time import random, string from Model.model import Model m = Model(print_obj={ 'start_conf': True, 'end_conf': True }) def get_by_key(arr,key): result = [] for i in arr: result.append(i[key]) return np.array(result) blocks = [ {"pred": [], '...
import pandas as pd import matplotlib.pyplot as plt import numpy as np import seaborn as sns import random plt.style.use('fivethirtyeight') data = pd.read_csv('insurance.csv') #data.describe() #data.info() data.hist('charges') #A single variable plot, showing how often it meets quant_95 = data['charges']...
''' Created on Nov 3, 2015 @author: Jonathan ''' def clubsize(names, club): return len(set(names) & set(club)) if __name__ == '__main__': pass
#Read an integer N . For all non-negative integers i < N, print i^2. See the sample for details. if __name__ == '__main__': n = int(raw_input()) for i in range(n): print(i*i)
#!/usr/bin/env python # Jamie Bodeau # Imports ------------------------------------------------- import sys # Classes ------------------------------------------------- # Functions ----------------------------------------------- # Main Execution ------------------------------------------ if __name__ == "__main...
a=input() b=input() a=int(a) b=int(b) c=(a**2+b**2)**0.5 print(c)
# Generated by Django 3.0.8 on 2020-07-17 14:00 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('reviews', '0004_auto_20200717_2200'), ('message', '0002_auto_20200717_2200'), ('profiles', '0008_auto_20200717_2200'), ] operations = [ ...
import torch import torch.utils.data as Data import json import os from PIL import Image import git_ssd-transform as ssd_transform """ 创建自己的数据集 需要定义__len__方法,返回的是dataset的数量 需要定义__getitem__方法,返回的是第i个图像,bboxes、labels.基于的是json文件 Dataset是一个抽象类,所有自定义的Dataset需要继承它并复习__getitem__()函数,即接收一个索引,返回一个样本 __getitem__:返回一条数据或一个样本 __...