给出python读取cifar-10-python.tar.gz的代码

以下是Python读取CIFAR-10数据集的示例代码：

import pickle
import numpy as np

def unpickle(file):
    with open(file, 'rb') as fo:
        dict = pickle.load(fo, encoding='bytes')
    return dict

def load_cifar10_data(data_dir):
    train_data = []
    train_labels = []

    for i in range(1, 6):
        filename = data_dir + '/data_batch_{}'.format(i)
        data_dict = unpickle(filename)
        train_data.append(data_dict[b'data'])
        train_labels.append(data_dict[b'labels'])

    train_data = np.concatenate(train_data, axis=0)
    train_labels = np.concatenate(train_labels, axis=0)

    test_data_dict = unpickle(data_dir + '/test_batch')
    test_data = test_data_dict[b'data']
    test_labels = np.array(test_data_dict[b'labels'])

    return train_data, train_labels, test_data, test_labels

data_dir = 'path/to/cifar-10-batches-py'
train_data, train_labels, test_data, test_labels = load_cifar10_data(data_dir)

这个代码加载CIFAR-10数据集，其中train_data是训练图像数据，train_labels是训练图像标签，test_data是测试图像数据，test_labels是测试图像标签。