code: def _asvi_surrogate_for_independent(dist, build_nested_surrogate):
      """Builds the surrogate for a `tfd.Independent`-wrapped distribution."""
      nested_surrogate = yield from build_nested_surrogate(
          dist.distribution
      )
      return independent.Independent(
          nested_surrogate,
          reinterpreted_batch_ndims=dist.reinterpreted_batch_ndims,
      )
  
imports: import collections
  import copy
  import functools
  import inspect
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import restructure
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import chi2
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import half_normal
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import joint_distribution_auto_batched
  from tensorflow_probability.python.distributions import joint_distribution_coroutine
  from tensorflow_probability.python.distributions import markov_chain
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.distributions import truncated_normal
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import trainable_state_util
label_desc: Use image node_id 7 for calling a global function with example usage: _asvi_surrogate_for_independent(dist, build_nested_surrogate) and returns: independent