code: def recurse(self, node, tree, ax, max_x, max_y, depth=0):
      import matplotlib.pyplot as plt
  
      kwargs = dict(
          bbox=self.bbox_args.copy(),
          ha="center",
          va="center",
          zorder=100 - 10 * depth,
          xycoords="axes fraction",
          arrowprops=self.arrow_args.copy(),
      )
      kwargs["arrowprops"]["edgecolor"] = plt.rcParams["text.color"]
  
      if self.fontsize is not None:
          kwargs["fontsize"] = self.fontsize
  
      # offset things by .5 to center them in plot
      xy = ((node.x + 0.5) / max_x, (max_y - node.y - 0.5) / max_y)
  
      if self.max_depth is None or depth <= self.max_depth:
          if self.filled:
              kwargs["bbox"]["fc"] = self.get_fill_color(
                  tree, node.tree.node_id
              )
          else:
              kwargs["bbox"]["fc"] = ax.get_facecolor()
  
          if node.parent is None:
              # root
              ax.annotate(node.tree.label, xy, **kwargs)
          else:
              xy_parent = (
                  (node.parent.x + 0.5) / max_x,
                  (max_y - node.parent.y - 0.5) / max_y,
              )
              ax.annotate(node.tree.label, xy_parent, xy, **kwargs)
          for child in node.children:
              self.recurse(
                  child, tree, ax, max_x, max_y, depth=depth + 1
              )
  
      else:
          xy_parent = (
              (node.parent.x + 0.5) / max_x,
              (max_y - node.parent.y - 0.5) / max_y,
          )
          kwargs["bbox"]["fc"] = "grey"
          ax.annotate("\n  (...)  \n", xy_parent, xy, **kwargs)
  
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 4 for calling the _MPLTreeExporter obj's underlying member method code with example usage: obj.recurse(node, tree, ax, max_x, max_y, depth) without return types