code: def get_model(
      self, prior_fn=uniform_noise.NoisyNormal, coding_rank=1, **kwargs
  ):
      return continuous_indexed.LocationScaleIndexedEntropyModel(
          prior_fn,
          64,
          lambda i: tf.exp(i / 8.0 - 5.0),
          coding_rank,
          **kwargs,
      )
  
imports: from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import uniform_noise
  from tensorflow_compression.python.entropy_models import continuous_indexed
label_desc: Use image node_id 1 for calling the LocationScaleIndexedEntropyModelTest obj's underlying member method code with example usage: obj.get_model(prior_fn, coding_rank) and returns: continuous_indexed