code: def test_laplace_tail_mass(self):
      noisy = uniform_noise.NoisyNormal(loc=0.0, scale=1.0)
      em = ContinuousBatchedEntropyModel(
          noisy, 1, laplace_tail_mass=0.0
      )
      self.assertEqual(em.laplace_tail_mass, 0.0)
      em = ContinuousBatchedEntropyModel(
          noisy, 1, laplace_tail_mass=tf.constant(1e-3)
      )
      self.assertEqual(em.laplace_tail_mass, tf.constant(1e-3))
      log_prob = em._log_prob(noisy, tf.constant(0.0))
      self.assertEqual(log_prob.dtype, tf.float32)
  
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 16 for calling the ContinuousBatchedEntropyModelTest obj's underlying member method code with example usage: obj.test_laplace_tail_mass() without return types