Python之debug调试的方法是什么

from torchvision import transformsfrom torchvision.datasets import FashionMNISTimport osos.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"#数据集准备train_data = FashionMNIST(    root = "./data/FashionMNIST",    train = True,    transform = transforms.ToTensor(),    download = True #如果没下载数据，就下载数据；如果已经下载好，就换为False)test_data = FashionMNIST(    root = "./data/FashionMNIST",    train = False,    transform = transforms.ToTensor(),    download = True #如果没下载数据，就下载数据；如果已经下载好，就换为False)train_data_x=train_data.datatrain_data_y=train_data.targetstest_data_x=test_data.datatest_data_y=test_data.targetsprint(train_data_x.shape)print(train_data_y.shape)print(type(train_data_x))print(type(train_data_y))print(test_data_x.shape)print(test_data_y.shape)def function1(x):    for i in range(x):        print(i)function1(7)