code: def lookup_chunk_and_index(self, i):
      if isinstance(i, int):
          return i // self.chunk_size, i % self.chunk_size
      elif isinstance(i, np.ndarray):
          i = i.astype(int)
          return (i / self.chunk_size).astype(int), (
              i % self.chunk_size
          ).astype(int)
      elif isinstance(i, torch.Tensor):
          return self.lookup_chunk_and_index(i.numpy())
      else:
          raise TypeError(type(i))
  
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 4 for calling the Chunker obj's underlying member method code with example usage: obj.lookup_chunk_and_index(i) and returns: unknown,  unknown, unknown,  unknown, self