code: def scale_distribution_to_spec(distribution, spec):
      """Scales the given distribution to the bounds of the given spec."""
      return SquashToSpecNormal(distribution, spec)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import inspect
  from typing import Any, Mapping, Text, Type
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.distributions import tanh_bijector_stable
  from tf_agents.specs import tensor_spec
  from tf_agents.typing import types
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
label_desc: Use image node_id 1 for calling a global function with example usage: scale_distribution_to_spec(distribution, spec) and returns: SquashToSpecNormal