code: def tree_replace_masked(tree_data, tree_replacement, mask):
      """Replace slices of the leaves when mask is 1.
  
      Args:
        tree_data: a nested object with leaves to mask.
        tree_replacement: nested object with the same structure of `tree_data`,
          that cointains the data to insert according to `mask`. If `None`,
          then the masked elements in `tree_data` will be replaced with zeros.
        mask: a mask of 0/1s, whose shape is a prefix of the shape of the leaves
          in `tree_data` and in `tree_replacement`.
  
      Returns:
        the updated tensor.
      """
      if tree_replacement is None:
          tree_replacement = jax.tree_map(jnp.zeros_like, tree_data)
      return jax.tree_map(
          lambda data, replacement: base.replace_masked(
              data, replacement, mask
          ),
          tree_data,
          tree_replacement,
      )
  
file_path: rlax/rlax/_src/tree_util.py
imports: import functools
  from typing import Any, Callable, Sequence
  import chex
  import jax
  import jax.numpy
  import numpy
  from rlax._src import base
label_desc: Use image node_id 5 for calling a global function with example usage: tree_replace_masked(tree_data, tree_replacement, mask) and returns: jax