class_docstr: The NumPy data type Enum for writing/reading the MMapIndexedDataset indices
      
class_docstr_tok: ["The","NumPy","data","type","Enum","for","writing\/reading","the","MMapIndexedDataset","indices"]
docstr: Get the dtype from the code
  
  Args:
      value (int): The code
  
  Returns:
      Type[numpy.number]: The dtype
docstr_tok: ["Get","the","dtype","from","the","code","Args",":","value","(","int",")",":","The","code","Returns",":","Type","[","numpy.number","]",":","The","dtype"]
code: def dtype_from_code(cls, value: int) -> Type[numpy.number]:
      """Get the dtype from the code
  
      Args:
          value (int): The code
  
      Returns:
          Type[numpy.number]: The dtype
      """
      return getattr(numpy, cls(value).name)
  
imports: import logging
  import os
  import shutil
  import struct
  import time
  from enum import Enum
  from functools import lru_cache
  from itertools import accumulate
  from types import TracebackType
  from typing import List, Optional, Tuple, Type, Union
  import numpy
  import torch
  from megatron.core.datasets.utils import log_single_rank
label_desc: Use image node_id 2 for calling the DType obj's underlying member method code with example usage: obj.dtype_from_code(cls, value) and returns: getattr