code: def _update_n_node_samples(tree, X):
      node_indicators = tree.decision_path(X)
      new_n_node_samples = node_indicators.getnnz(axis=0)
      for i in range(len(new_n_node_samples)):
          tree.tree_.n_node_samples[i] = new_n_node_samples[i]
  
imports: from abc import ABC, abstractmethod
  import numpy
  from collections import defaultdict
  from sklearn.ensemble import BaseEnsemble
  from sklearn.ensemble._forest import _generate_unsampled_indices, _generate_sample_indices
  from .local_stumps import make_stumps, tree_feature_transform
label_desc: Use image node_id 1 for calling a global function with example usage: _update_n_node_samples(tree, X) without return types