code: def _move_sums_classification(
      criterion,
      sum_1,
      sum_2,
      weighted_n_1,
      weighted_n_2,
      put_missing_in_1,
  ):
      for k in range(criterion.n_outputs):
          n = int(criterion.n_classes[k])
          sum_1[k, :n] = 0
          sum_2[k, :n] = criterion.sum_total[k, :n]
  
      weighted_n_1 = 0.0
      weighted_n_2 = criterion.weighted_n_node_samples
  
      return weighted_n_1, weighted_n_2, sum_1, sum_2
  
imports: from abc import ABC, abstractmethod
  import ivy
label_desc: Use image node_id 1 for calling a global function with example usage: _move_sums_classification(criterion, sum_1, sum_2, weighted_n_1, weighted_n_2, put_missing_in_1) and returns: weighted_n_1,  weighted_n_2,  sum_1,  sum_2