基于Spyder创建一个Datloader类，要求用__init__方法加载train-labels.idx1-ubyte文件，用__getitem__方法获得第n个标签，编写__getimg__和__getlabel__方法，同时加载图片和标签

以下是基于Spyder创建的Datloader类代码：

import numpy as np

class Datloader:
    def __init__(self, file_path):
        self.labels = self.load_labels(file_path)
    
    def load_labels(self, file_path):
        with open(file_path, 'rb') as f:
            magic_number = int.from_bytes(f.read(4), byteorder='big')
            num_items = int.from_bytes(f.read(4), byteorder='big')
            labels = np.zeros(num_items, dtype=np.uint8)
            for i in range(num_items):
                labels[i] = int.from_bytes(f.read(1), byteorder='big')
        return labels
    
    def __getitem__(self, index):
        return self.labels[index]
    
    def getimg(self, file_path, index):
        with open(file_path, 'rb') as f:
            magic_number = int.from_bytes(f.read(4), byteorder='big')
            num_items = int.from_bytes(f.read(4), byteorder='big')
            num_rows = int.from_bytes(f.read(4), byteorder='big')
            num_cols = int.from_bytes(f.read(4), byteorder='big')
            image_size = num_rows * num_cols
            f.seek(16 + index * image_size)
            image = np.zeros((num_rows, num_cols), dtype=np.uint8)
            for row in range(num_rows):
                for col in range(num_cols):
                    image[row][col] = int.from_bytes(f.read(1), byteorder='big')
        return image
    
    def getlabel(self, file_path, index):
        with open(file_path, 'rb') as f:
            magic_number = int.from_bytes(f.read(4), byteorder='big')
            num_items = int.from_bytes(f.read(4), byteorder='big')
            num_rows = int.from_bytes(f.read(4), byteorder='big')
            num_cols = int.from_bytes(f.read(4), byteorder='big')
            image_size = num_rows * num_cols
            f.seek(16 + index * image_size)
            label = int.from_bytes(f.read(1), byteorder='big')
        return label

使用方法示例：

dat_loader = Datloader('train-labels.idx1-ubyte')
label = dat_loader[0]
image = dat_loader.getimg('train-images.idx3-ubyte', 0)
label = dat_loader.getlabel('train-labels.idx1-ubyte', 0)