code: def transform_and_concat_return(x, return_to_condition):
      """Transforms and concatenates the return to the image."""
      transformed_reward = (
          jnp.log(jnp.abs(return_to_condition) + 1) / 20.0
      )
      transformed_reward *= jnp.sign(return_to_condition)
      tiled_reward = jnp.tile(transformed_reward, [*x.shape[:-1], 1])
      return jnp.concatenate([x, tiled_reward], axis=-1)
  
imports: import collections
  from typing import Tuple
  from absl import logging
  from dopamine.discrete_domains import atari_lib
  from flax import linen
  import gin
  import jax
  import jax.numpy
label_desc: Use image node_id 2 for calling a global function with example usage: transform_and_concat_return(x, return_to_condition) and returns: jnp