code: def is_bounded(spec):
      if isinstance(
          spec, (array_spec.BoundedArraySpec, BoundedTensorSpec)
      ):
          return True
      elif hasattr(spec, "minimum") and hasattr(spec, "maximum"):
          return hasattr(spec, "dtype") and hasattr(spec, "shape")
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from typing import Union
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.specs import array_spec
  from tf_agents.typing import types
  from google.protobuf import text_format
  from tensorflow.core.protobuf import struct_pb2
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.saved_model import nested_structure_coder
label_desc: Use image node_id 1 for calling a global function with example usage: is_bounded(spec) and returns: True, unknown