class_docstr: A decision tree node.
class_docstr_tok: ["A","decision","tree","node","."]
docstr: Print an ASCII visualization of the tree.
docstr_tok: ["Print","an","ASCII","visualization","of","the","tree","."]
code: def debug(self, feature_names, class_names, show_details):
      """Print an ASCII visualization of the tree."""
      lines, _, _, _ = self._debug_aux(
          feature_names, class_names, show_details, root=True
      )
      for line in lines:
          print(line)
  
imports: import numpy
  import ray
  from sklearn import datasets, metrics
  import time
  import tempfile
  import os
  import json
label_desc: Use image node_id 2 for calling the Node obj's underlying member method code with example usage: obj.debug(feature_names, class_names, show_details) without return types