code: def _get_next_node(children, att):
      for child in children:
          is_equal = (
              child.getAttribute("flag") == "m"
              and child.getAttribute("feature") == att
          )
          is_less_than = child.getAttribute("flag") == "l" and float(
              att
          ) < float(child.getAttribute("feature"))
          is_greater_than = child.getAttribute("flag") == "r" and float(
              att
          ) >= float(child.getAttribute("feature"))
          if is_equal or is_less_than or is_greater_than:
              return child
  
imports: import copy
  from copy import deepcopy
  from typing import List
  from xml.dom import minidom
  from xml.etree import ElementTree
  import numpy
  import pandas
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.model_selection import cross_val_score
  from sklearn.utils.validation import check_array, check_is_fitted, check_X_y
  from imodels.util.arguments import check_fit_arguments
  from ..c45_tree.c45_utils import decision, is_numeric_feature, gain, gain_ratio, get_best_split, set_as_leaf_node
  from ...util.data_util import get_clean_dataset
label_desc: Use image node_id 5 for calling a global function with example usage: _get_next_node(children, att) and returns: child