code: def get_leaves_from_tree(tree, max_leaf_size):
      n_leaves = 0
      for i in range(len(tree.children)):
          if tree.children[i][0] == -1 and tree.children[i][1] == -1:
              n_leaves += 1
  
      result = np.full((n_leaves, max_leaf_size), -1, dtype=np.int32)
      leaf_index = 0
      for i in range(len(tree.indices)):
          if tree.children[i][0] == -1 or tree.children[i][1] == -1:
              leaf_size = tree.indices[i].shape[0]
              result[leaf_index, :leaf_size] = tree.indices[i]
              leaf_index += 1
  
      return result
  
imports: from warnings import warn
  import locale
  import numpy
  import numba
  import scipy.sparse
  from pynndescent.sparse import sparse_mul, sparse_diff, sparse_sum, arr_intersect, sparse_dot_product
  from pynndescent.utils import tau_rand_int, norm
  import joblib
  from collections import namedtuple
label_desc: Use image node_id 16 for calling a global function with example usage: get_leaves_from_tree(tree, max_leaf_size) and returns: result