code: def test_axis_out_of_range(self, is_static, get_distributions):
      if tf.executing_eagerly() or is_static:
          with self.assertRaises(Exception):
              _ = get_distributions(axis=10, is_static=is_static)
      else:
          _, concat_dist = get_distributions(
              axis=10, 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 17 for calling the BatchConcatTest obj's underlying member method code with example usage: obj.test_axis_out_of_range(is_static, get_distributions) without return types