code: def __init__(
      self,
      max_depth=None,
      feature_names=None,
      class_names=None,
      label="all",
      filled=False,
      impurity=True,
      node_ids=False,
      proportion=False,
      rounded=False,
      precision=3,
      fontsize=None,
  ):
      self.max_depth = max_depth
      self.feature_names = feature_names
      self.class_names = class_names
      self.label = label
      self.filled = filled
      self.impurity = impurity
      self.node_ids = node_ids
      self.proportion = proportion
      self.rounded = rounded
      self.precision = precision
      self.fontsize = fontsize
  
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 1 to create a new _BaseTreeExporter object  with example: obj = _BaseTreeExporter(max_depth, feature_names, class_names, label, filled, impurity, node_ids, proportion, rounded, precision, fontsize)