code: def test_default_kwargs_throw_error_on_compression(self):
      noisy = uniform_noise.NoisyNormal(loc=0.25, scale=10.0)
      em = ContinuousBatchedEntropyModel(noisy, 1)
      x = tf.zeros(10)
      with self.assertRaises(RuntimeError):
          em.compress(x)
      s = tf.zeros(10, dtype=tf.string)
      with self.assertRaises(RuntimeError):
          em.decompress(s, [10])
  
imports: from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import uniform_noise
  from tensorflow_compression.python.entropy_models.continuous_batched import ContinuousBatchedEntropyModel
label_desc: Use image node_id 7 for calling the ContinuousBatchedEntropyModelTest obj's underlying member method code with example usage: obj.test_default_kwargs_throw_error_on_compression() without return types