code: def _get_post_mosaic_process_fn(
      spec: str,
  ) -> preprocess_spec.PreprocessFn:
      """Constructs the preprocess_fn that should be applied after mosaicing.
  
      Args:
        spec: Config string specifying the preprocessing.
  
      Returns:
        PreprocessFns for post-mosaic processing.
      """
      all_ops = preprocess_spec.get_all_ops(
          "scenic.projects.owl_vit.preprocessing.image_ops"
      )
      all_ops += preprocess_spec.get_all_ops(
          "scenic.projects.owl_vit.preprocessing.label_ops"
      )
      post_mosaic_fn = preprocess_spec.parse(
          spec, all_ops, only_jax_types=False
      )
      post_mosaic_fn.ops = [
          op
          for op in post_mosaic_fn.ops
          if isinstance(op, POST_MOSAIC_OPS)
      ]
      return post_mosaic_fn
  
imports: import dataclasses
  import functools
  from typing import Any, Dict, Optional, Sequence
  from clu import deterministic_data
  from clu import preprocess_spec
  from flax import jax_utils
  import jax
  import jax.numpy
  import ml_collections
  from scenic.dataset_lib import dataset_utils
  from scenic.dataset_lib import datasets
  from scenic.projects.owl_vit.preprocessing import image_ops
  from scenic.projects.owl_vit.preprocessing import label_ops
  from scenic.projects.owl_vit.preprocessing import mosaic
  import tensorflow
  import tensorflow_datasets
label_desc: Use image node_id 2 for calling a global function with example usage: _get_post_mosaic_process_fn(spec) and returns: post_mosaic_fn