code: def test_dynamic_num_timesteps(self):
      # Verify that num_timesteps is set statically when at least one component
      # (not necessarily the first) has static num_timesteps.
      num_timesteps = 4
      dynamic_timesteps_component = self._dummy_model(
          num_timesteps=tf1.placeholder_with_default(
              num_timesteps, shape=None
          )
      )
      static_timesteps_component = self._dummy_model(
          num_timesteps=num_timesteps
      )
  
      additive_ssm = AdditiveStateSpaceModel(
          [dynamic_timesteps_component, dynamic_timesteps_component]
      )
      self.assertEqual(
          self.evaluate(additive_ssm.num_timesteps), num_timesteps
      )
  
      additive_ssm = AdditiveStateSpaceModel(
          [dynamic_timesteps_component, static_timesteps_component]
      )
      self.assertEqual(
          num_timesteps, self.evaluate(additive_ssm.num_timesteps)
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import linear_gaussian_ssm
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.sts.components.local_linear_trend import LocalLinearTrendStateSpaceModel
  from tensorflow_probability.python.sts.components.sum import AdditiveStateSpaceModel
label_desc: Use image node_id 1 for calling the AdditiveStateSpaceModelTestDynamicShape32 obj's underlying member method code with example usage: obj.test_dynamic_num_timesteps() without return types