code: def _default_int_factory() -> type:
      valid_types = dict(int16=np.int16, int32=np.int32, int64=np.int64)
      return _default_numeric_type_factory(
          valid_types, _Values.INT, "int"
      )
  
imports: import contextlib
  import os
  from dataclasses import dataclass, field, replace
  from typing import Any, Dict, Generator, List, Mapping, Optional, Union
  import numpy
  import tabulate
  import tensorflow
  import tensorflow_probability
label_desc: Use image node_id 3 for calling a global function with example usage: _default_int_factory() and returns: _default_numeric_type_factory