code: def recurse(self, tree, node_id, criterion, parent=None, depth=0):
      if node_id == _tree.TREE_LEAF:
          raise ValueError("Invalid node_id %s" % _tree.TREE_LEAF)
  
      left_child = tree.children_left[node_id]
      right_child = tree.children_right[node_id]
  
      # Add node with description
      if self.max_depth is None or depth <= self.max_depth:
          # Collect ranks for 'leaf' option in plot_options
          if left_child == _tree.TREE_LEAF:
              self.ranks["leaves"].append(str(node_id))
          elif str(depth) not in self.ranks:
              self.ranks[str(depth)] = [str(node_id)]
          else:
              self.ranks[str(depth)].append(str(node_id))
  
          self.out_file.write(
              "%d [label=%s"
              % (node_id, self.node_to_str(tree, node_id, criterion))
          )
  
          if self.filled:
              self.out_file.write(
                  ', fillcolor="%s"'
                  % self.get_fill_color(tree, node_id)
              )
          self.out_file.write("] ;\n")
  
          if parent is not None:
              # Add edge to parent
              self.out_file.write("%d -> %d" % (parent, node_id))
              if parent == 0:
                  # Draw True/False labels if parent is root node
                  angles = np.array([45, -45]) * (
                      (self.rotate - 0.5) * -2
                  )
                  self.out_file.write(
                      " [labeldistance=2.5, labelangle="
                  )
                  if node_id == 1:
                      self.out_file.write(
                          '%d, headlabel="True"]' % angles[0]
                      )
                  else:
                      self.out_file.write(
                          '%d, headlabel="False"]' % angles[1]
                      )
              self.out_file.write(" ;\n")
  
          if left_child != _tree.TREE_LEAF:
              self.recurse(
                  tree,
                  left_child,
                  criterion=criterion,
                  parent=node_id,
                  depth=depth + 1,
              )
              self.recurse(
                  tree,
                  right_child,
                  criterion=criterion,
                  parent=node_id,
                  depth=depth + 1,
              )
  
      else:
          self.ranks["leaves"].append(str(node_id))
  
          self.out_file.write('%d [label="(...)"' % node_id)
          if self.filled:
              # color cropped nodes grey
              self.out_file.write(', fillcolor="#C0C0C0"')
          self.out_file.write("] ;\n" % node_id)
  
          if parent is not None:
              # Add edge to parent
              self.out_file.write("%d -> %d ;\n" % (parent, node_id))
  
imports: from collections.abc import Iterable
  from io import StringIO
  from numbers import Integral
  import numpy
  from ..base import is_classifier
  from ..utils._param_validation import HasMethods, Interval, StrOptions, validate_params
  from ..utils.validation import check_array, check_is_fitted
  from .None import DecisionTreeClassifier, DecisionTreeRegressor, _criterion, _tree
  from ._reingold_tilford import Tree, buchheim
label_desc: Use image node_id 5 for calling the _DOTTreeExporter obj's underlying member method code with example usage: obj.recurse(tree, node_id, criterion, parent, depth) without return types