code: def test_uniform_is_special_case(self):
      # With the scale parameter going to zero, the density should approach a
      # unit-width uniform distribution.
      df = deep_factorized.NoisyDeepFactorized(init_scale=1e-3)
      x = tf.linspace(-1.0, 1.0, 10)
      self.assertAllClose(df.prob(x), [0, 0, 0, 1, 1, 1, 1, 0, 0, 0])
  
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 6 for calling the NoisyDeepFactorizedTest obj's underlying member method code with example usage: obj.test_uniform_is_special_case() without return types