code: def __init__(self, cache_fol_path):
      self.cache_fol_path = cache_fol_path
  
      self.data_args = torch.load(
          os.path.join(cache_fol_path, "data_args.p")
      )
      self.num_chunks = self.data_args["num_chunks"]
      self.length = self.data_args["length"]
      self.chunk_size = self.data_args["chunk_size"]
      self.chunker = Chunker.from_chunk_size(
          length=self.length, chunk_size=self.chunk_size
      )
  
imports: import math
  import numpy
  import os
  from typing import Generator, Union, Sequence
  import torch
  import torch.utils.data.dataset
label_desc: Use image node_id 1 to create a new ChunkedFilesDataCache object from inherited base classes: DataCache with example: obj = ChunkedFilesDataCache(cache_fol_path)