code: def compute_tree_accuracy(
      candidate_list_, reference_list_, form_manager
  ):
      candidate_list = []
      for i in range(len(candidate_list_)):
          candidate_list.append(candidate_list_[i])
      reference_list = []
      for i in range(len(reference_list_)):
          reference_list.append(reference_list_[i])
      return compute_accuracy(
          candidate_list, reference_list, form_manager
      )
  
imports: from graph4nlp.pytorch.modules.utils.tree_utils import Tree
label_desc: Use image node_id 4 for calling a global function with example usage: compute_tree_accuracy(candidate_list_, reference_list_, form_manager) and returns: compute_accuracy