code: def test_composite_tensor_callable_arg(self):
      # Parameters that are both `CompositeTensor` and callable should be
      # handled by the `_type_spec` as `CompositeTensor`.
      inner_bij = scale.Scale([[1.0, 3.0]], validate_args=True)
      bij = transform_diagonal.TransformDiagonal(
          inner_bij, validate_args=True
      )
      self.assertLen(tf.nest.flatten(bij), 1)
      self.assertLen(
          bij._type_spec._callable_params, 0
      )  # pylint: disable=protected-access
      self.assertIn("diag_bijector", bij._type_spec._param_specs)
  
imports: import functools
  import os
  from absl import flags
  from absl.testing import parameterized
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import reshape
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.bijectors import transform_diagonal
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.experimental.distributions import mvn_precision_factor_linop
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import test_util
  from absl.testing import absltest
label_desc: Use image node_id 19 for calling the AutoCompositeTensorTest obj's underlying member method code with example usage: obj.test_composite_tensor_callable_arg() without return types