code: def average_with_mask(arr: jnp.ndarray, mask: jnp.ndarray):
      """Returns the average over elements where mask is True."""
      arr = jnp.where(mask, arr, 0)
      return jnp.sum(arr) / jnp.sum(mask)
  
imports: import functools
  import pathlib
  import tempfile
  from typing import Dict, Optional
  import warnings
  from absl.testing import absltest
  from absl.testing import parameterized
  import flax
  from flax.training import train_state
  import jax
  from jax import numpy
  import jraph
  import tensorflow
  import tensorflow_datasets
  import numpy
  from configs import default
  from configs import test
  import input_pipeline
  import train
label_desc: Use image node_id 1 for calling a global function with example usage: average_with_mask(arr, mask) and returns: unknown