code: def __getitem__(self, idx):
      seq_len = min(self.seq_len, self.data.shape[0] - 1 - idx)
      i = idx + seq_len
      data = self.data[idx:i]
      target = self.data[idx + 1 : i + 1]
      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 5 for calling the SequentialDataLoader obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: data,  target