code: def __init__(
      self, stats, feature, threshold, depth, left, right, **attributes
  ):
      super().__init__(
          stats, feature, threshold, depth, left, right, **attributes
      )
  
imports: from __future__ import annotations
  import copy
  import numbers
  from river.tree.utils import BranchFactory
  from river.utils.norm import normalize_values_in_dict
  from ..splitter.nominal_splitter_classif import NominalSplitterClassif
  from .branch import DTBranch, NominalBinaryBranch, NominalMultiwayBranch, NumericBinaryBranch, NumericMultiwayBranch
  from .htc_nodes import LeafMajorityClass, LeafNaiveBayes, LeafNaiveBayesAdaptive
  from .leaf import HTLeaf
label_desc: Use image node_id 1 to create a new EFDTNumericBinaryBranch object from inherited base classes: BaseEFDTBranch, NumericBinaryBranch with example: obj = EFDTNumericBinaryBranch(stats, feature, threshold, depth, left, right)