code: def GetFromNumpyDTypeDict(dtype_dict, dtype):
      # NOTE: dtype_dict.get(dtype) always returns None.
      for key, val in dtype_dict.items():
          if key == dtype:
              return val
      return None
  
imports: import typing
  from typing import Protocol
  import numpy
  from tensorflow.core.framework import tensor_pb2
  from tensorflow.core.framework import tensor_shape_pb2
  from tensorflow.python.client import pywrap_tf_session
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.types import core
  from tensorflow.python.types import internal
  from tensorflow.python.util import compat
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 13 for calling a global function with example usage: GetFromNumpyDTypeDict(dtype_dict, dtype) and returns: None, val