code: def _grow_tree(self, X, y, depth=0):
      future = grow_tree_remote.remote(self, X, y, depth)
      return ray.get(future)
  
imports: import numpy
  import ray
  from sklearn import datasets, metrics
  import time
  import tempfile
  import os
  import json
label_desc: Use image node_id 7 for calling the DecisionTreeClassifier obj's underlying member method code with example usage: obj._grow_tree(X, y, depth) and returns: ray