code: def get_bfs_level(n, roots, parents, children, arr):
      """
      Simple helper function to perform a bfs through n
      levels of a condensed tree.
      """
      level = roots
      for i in range(n - 1):
          level = get_children(level, parents, children)
  
      return get_children(level, parents, arr)
  
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 3 for calling a global function with example usage: get_bfs_level(n, roots, parents, children, arr) and returns: get_children