code: def test_incompatible_batch_shape(self, is_static, get_distributions):
      batch_dims = [(1, 3, 5), (1, 3, 4, 10)]
      for batch_dim in batch_dims:
          if tf.executing_eagerly() or is_static:
              with self.assertRaises(Exception):
                  _, concat_dist = get_distributions(
                      batch_dim_1=batch_dim, is_static=is_static
                  )
          else:
              _, concat_dist = get_distributions(
                  batch_dim_1=batch_dim, is_static=is_static
              )
              with self.assertRaises(Exception):
                  self.evaluate(concat_dist.mean())
  
imports: from absl.testing import parameterized
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import batch_concat
  from tensorflow_probability.python.distributions import dirichlet
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import onehot_categorical
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 13 for calling the BatchConcatTest obj's underlying member method code with example usage: obj.test_incompatible_batch_shape(is_static, get_distributions) without return types