code: def __next__(self):
      if self.idx >= self.data.shape[0] - 1:
          raise StopIteration()
  
      seq_len = min(self.seq_len, self.data.shape[0] - 1 - self.idx)
      i = self.idx + seq_len
      data = self.data[self.idx : i]
      target = self.data[self.idx + 1 : i + 1]
      self.idx = i
      return data, target
  
imports: import random
  from pathlib import PurePath, Path
  from typing import List, Callable, Dict, Optional
  import torch
  from torch.utils.data import IterableDataset, Dataset
  from labml import monit
  from labml.utils.download import download_file
label_desc: Use image node_id 4 for calling the SequentialDataLoader obj's underlying member method code with example usage: obj.__next__() and returns: data,  target