code: def __init__(self, bin_data, bin_num, g, h) -> None:
      from sklearn.ensemble._hist_gradient_boosting.grower import (
          HistogramBuilder,
      )
  
      try:
          hist_builder = HistogramBuilder(
              bin_data, bin_num, g, h, False
          )
      except TypeError as e:
          from sklearn.utils._openmp_helpers import (
              _openmp_effective_n_threads,
          )
  
          n_threads = _openmp_effective_n_threads(None)
          hist_builder = HistogramBuilder(
              bin_data, bin_num, g, h, False, n_threads
          )
  
      self.hist_builder = hist_builder
  
imports: import typing
  import torch
  from typing import Dict
  from fate.arch.histogram import HistogramBuilder, DistributedHistogram
  from fate.ml.ensemble.learner.decision_tree.tree_core.decision_tree import Node
  from typing import List
  import numpy
  from fate.arch.dataframe import DataFrame
  from fate.arch import Context
  import logging
label_desc: Use image node_id 1 to create a new SklearnHistBuilder object from inherited base classes: object with example: obj = SklearnHistBuilder(bin_data, bin_num, g, h)