摘要： import numpy as np import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import Dataset, DataLoader import random 用户输入参 阅读全文

摘要： 1 训练 import torch from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datasets import MNIST import matplotlib. 阅读全文

摘要： `import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader from torchvision import datasets, transforms i 阅读全文

摘要： 读书报告 NumPy基本函数与示例 NumPy是Python中用于科学计算的基础库，提供了高性能的多维数组对象及相关工具。 基本函数用法 import numpy as np 创建数组 arr1 = np.array([1, 2, 3]) # 一维数组 arr2 = np.zeros((3, 3)) 阅读全文

摘要： `import jieba from collections import Counter import re 人物名称合并规则（可根据实际情况补充） name_mapping = { "宁采臣": ["宁生", "宁公子", "宁郎"], "聂小倩": ["小倩", "聂女", "倩娘"], "燕 阅读全文

摘要： import pygame import sys import random import os pygame.init() SCREEN_WIDTH = 800 SCREEN_HEIGHT = 600 GRAVITY = 0.5 JUMP_FORCE = -10 PIPE_SPEED = 5 PI 阅读全文

摘要： 8.1 from random import random def printintro(): print("这个程序模拟两个选手A和B的某种竞技比赛") print("程序运行需要A和B的能力值（用0到1之间的小数表示）") def getinputs(): a = eval(input("请输入 阅读全文

摘要： 7.1 import tokenize import keyword from io import BytesIO def convert_python_file(source_path, target_path): with open(source_path, 'rb') as file: tok 阅读全文

摘要： 5.1 n = eval(input('请输入一个奇数：')) a,b,c,d = '-','+','|',' ' m = n//2 if n%2 == 1: for i in range(n): if i in [0,m,n-1]: print('{0}{1}{0}{1}{0}'.format(b 阅读全文

摘要： 4.1 4.4 4.5 的整合 import random secret = random.randint(1, 1000) guesscuonts = 0 print(" 猜数字游戏 ") guess = eval(input("请输入1-1000的整数：")) while True: if gu 阅读全文