class_docstr: Parameters:
      -----------
      nid : int, optional
          ID of the node.
      sitename : str, optional
          Name of the site that the node belongs to.
      fid : int, optional
          ID of the feature that the node splits on.
      bid : float or int, optional
          Feature value that the node splits on.
      weight : float, optional
          Weight of the node.
      is_leaf : bool, optional
          Boolean indicating whether the node is a leaf node.
      grad : float, optional
          Gradient value of the node.
      hess : float, optional
          Hessian value of the node.
      l : int, optional
          ID of the left child node.
      r : int, optional
          ID of the right child node.
      missing_dir : int, optional
          Direction for missing values (1 for left, -1 for right).
      sample_num : int, optional
          Number of samples in the node.
      is_left_node : bool, optional
          Boolean indicating whether the node is a left child node.
      sibling_nodeid : int, optional
          ID of the sibling node.
docstr: Returns a string representation of the node.
docstr_tok: ["Returns","a","string","representation","of","the","node","."]
code: def __repr__(self):
      """
      Returns a string representation of the node.
      """
      return "(node_id {}: fid {} bid {} left {}, right {}, pid {}, is_leaf {}, sample_count {},  g {}, h {}, weight {}, sitename {})".format(
          self.nid,
          self.fid,
          self.bid,
          self.l,
          self.r,
          self.parent_nodeid,
          self.is_leaf,
          self.sample_num,
          self.grad,
          self.hess,
          self.weight,
          self.sitename,
      )
  
imports: import numpy
  import pandas
  from fate.arch import Context
  from fate.arch.dataframe import DataFrame
  from fate.ml.ensemble.learner.decision_tree.tree_core.splitter import SplitInfo
  from typing import List
  import logging
label_desc: Use image node_id 3 for calling the Node obj's underlying member method code with example usage: obj.__repr__() and returns: str