code: def tree_unflatten(cls, data, flat_idx):
      idx_tree, shape, int_indexer_shape = data
      indices = tree_util.tree_unflatten(idx_tree, flat_idx)
      return NDIndexer(tuple(indices), shape, int_indexer_shape)
  
imports: from __future__ import annotations
  import dataclasses
  from typing import Any, Union
  from jax._src import core
  from jax._src import tree_util
  from jax._src.typing import Array
  from jax._src.util import merge_lists
  from jax._src.util import partition_list
  import numpy
label_desc: Use image node_id 3 for calling the NDIndexer obj's underlying member method code with example usage: obj.tree_unflatten(cls, data, flat_idx) and returns: NDIndexer