code: def make_from_parameters(value: Params) -> Any:
      """Creates an instance of type `value.type_` with the parameters in `value`.
  
      For more details, see the docstrings for `get_parameters` and `Params`.
  
      This function may raise strange errors if `value` is a `Params` created from
      a badly constructed object (one which does not set `self._parameters`
      properly).  For example:
  
      ```python
      class MyBadlyConstructedDistribution(tfp.distributions.Categorical):
        def __init__(self, extra_arg, **kwargs):
          super().__init__(**kwargs)
          self._extra_arg = extra_arg
  
        ...
      ```
  
      To fix this, make sure `self._parameters` are properly set:
  
      ```python
      class MyProperlyConstructedDistribution(tfp.distributions.Categorical):
        def __init__(self, extra_arg, **kwargs):
          super().__init__(**kwargs)
          # Ensure all arguments to `__init__` are in `self._parameters`.
          self._parameters = dict(extra_arg=extra_arg, **kwargs)
          self._extra_arg = extra_arg
  
        ...
      ```
  
      Args:
        value: A `Params` object; the output of `get_parameters` (or a modified
          version thereof).
  
      Returns:
        An instance of `value.type_`.
  
      Raises:
        Exception: If `value` is a `Params` object and the initializer of
          `value.type_` does not recognize accept the args structure given in
          `value.params`.  This can happen if, e.g., `value.type_.__init__` does not
          properly set `self._parameters` or `self.parameters` to match the
          arguments it expects.
      """
  
      def make_from_params_or_identity(v_):
          return (
              make_from_parameters(v_) if isinstance(v_, Params) else v_
          )
  
      params = {
          k: tf.nest.map_structure(make_from_params_or_identity, v)
          for k, v in value.params.items()
      }
      return value.type_(**params)
  
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 3 for calling a global function with example usage: make_from_parameters(value) and returns: value, unknown