code: def test_bits_estimate_matches_entropy_logistic(self, scale):
      self._test_bits_estimate_matches_entropy(
          uniform_noise.NoisyLogistic, tfp.distributions.Logistic, scale
      )
  
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 11 for calling the UniversalIndexedEntropyModelTest obj's underlying member method code with example usage: obj.test_bits_estimate_matches_entropy_logistic(scale) without return types