code: def test_logistic_is_special_case(self, method):
      # With no hidden units, the density should collapse to a logistic
      # distribution.
      df = deep_factorized.DeepFactorized(num_filters=(), init_scale=1)
      logistic = tfp.distributions.Logistic(
          loc=-df._biases[0][0, 0], scale=1.0
      )
      x = tf.linspace(-5.0, 5.0, 20)
      val_df = getattr(df, method)(x)
      val_logistic = getattr(logistic, method)(x)
      self.assertAllClose(val_df, val_logistic)
  
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 4 for calling the DeepFactorizedTest obj's underlying member method code with example usage: obj.test_logistic_is_special_case(method) without return types