code: def __init__(
      self, stats, feature, value, depth, left, right, **attributes
  ):
      super().__init__(
          stats, feature, value, depth, left, right, **attributes
      )
  
imports: from __future__ import annotations
  import math
  from river import stats
  from river.utils.norm import normalize_values_in_dict
  from river.utils.random import poisson
  from ..utils import do_naive_bayes_prediction
  from .branch import DTBranch, NominalBinaryBranch, NominalMultiwayBranch, NumericBinaryBranch, NumericMultiwayBranch
  from .htc_nodes import LeafNaiveBayesAdaptive
  from .leaf import HTLeaf
label_desc: Use image node_id 1 to create a new AdaNomBinaryBranchClass object from inherited base classes: AdaBranchClassifier, NominalBinaryBranch with example: obj = AdaNomBinaryBranchClass(stats, feature, value, depth, left, right)