code: def test_laplace_tail_mass_for_large_inputs(self):
      prior = deep_factorized.NoisyDeepFactorized(batch_shape=(1,))
      em = universal.UniversalBatchedEntropyModel(
          prior, coding_rank=1, compression=True, laplace_tail_mass=1e-3
      )
      x = tf.convert_to_tensor([1e3, 1e4, 1e5, 1e6], tf.float32)
      _, bits = em(x[..., None])
      self.assertAllClose(bits, tf.abs(x) / tf.math.log(2.0), rtol=0.01)
  
imports: from absl.testing import parameterized
  import scipy.stats
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import deep_factorized
  from tensorflow_compression.python.distributions import uniform_noise
  from tensorflow_compression.python.entropy_models import universal
label_desc: Use image node_id 4 for calling the UniversalBatchedEntropyModelTest obj's underlying member method code with example usage: obj.test_laplace_tail_mass_for_large_inputs() without return types