code: def _default_float_factory() -> type:
      valid_types = dict(
          float16=np.float16, float32=np.float32, float64=np.float64
      )
      return _default_numeric_type_factory(
          valid_types, _Values.FLOAT, "float"
      )
  
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 4 for calling a global function with example usage: _default_float_factory() and returns: _default_numeric_type_factory