code: def get_children(roots, parents, arr):
      """
      Simple helper function to return the children of the condensed tree
      given an array of parents.
      """
      ret = []
      for root in roots:
          level = np.where(parents == root)
          ret.extend(arr[level])
  
      return np.array(ret).ravel()
  
imports: from cuml.internals.safe_imports import gpu_only_import
  from sklearn.model_selection import train_test_split
  from sklearn import datasets
  from hdbscan.plots import CondensedTree
  import hdbscan
  from cuml.internals import logger
  import pytest
  from cuml.cluster.hdbscan import HDBSCAN, condense_hierarchy
  from cuml.cluster.hdbscan.prediction import all_points_membership_vectors, approximate_predict, membership_vector
  from sklearn.datasets import make_blobs
  from cuml.metrics import adjusted_rand_score
  from cuml.testing.utils import get_pattern, array_equal
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 2 for calling a global function with example usage: get_children(roots, parents, arr) and returns: np