code: def distributions(self):
      return {
          "noise_scale": lognormal_lib.LogNormal(
              loc=self.log_noise_mean, scale=self.log_noise_scale
          )
      }
  
imports: import dataclasses
  from typing import Any
  import jax
  from tensorflow_probability.substrates.jax.bijectors import softplus
  from tensorflow_probability.substrates.jax.distributions import distribution
  from tensorflow_probability.substrates.jax.distributions import inflated
  from tensorflow_probability.substrates.jax.distributions import logistic
  from tensorflow_probability.substrates.jax.distributions import lognormal
  from tensorflow_probability.substrates.jax.distributions import negative_binomial
  from tensorflow_probability.substrates.jax.distributions import normal
  from tensorflow_probability.substrates.jax.distributions import transformed_distribution
label_desc: Use image node_id 1 for calling the NormalLikelihoodLogNormalNoise obj's underlying member method code with example usage: obj.distributions() and returns: dict