code: def test_tails_are_in_order(self):
      df = deep_factorized.NoisyDeepFactorized()
      lower_tail = helpers.lower_tail(df, 2**-8)
      upper_tail = helpers.upper_tail(df, 2**-8)
      self.assertGreater(upper_tail, lower_tail)
  
imports: from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import deep_factorized
  from tensorflow_compression.python.distributions import helpers
label_desc: Use image node_id 7 for calling the NoisyDeepFactorizedTest obj's underlying member method code with example usage: obj.test_tails_are_in_order() without return types