code: def test_model(self):
      print("🌋 Test evaluator / print all mentions")
      self.build_test_file(
          out_path=ALL_MENTIONS_PATH, print_all_mentions=True
      )
      self.get_score(file_path=ALL_MENTIONS_PATH)
  
imports: import os
  import subprocess
  import io
  import pickle
  import torch
  from torch.utils.data import DataLoader
  from neuralcoref.train.conllparser import FEATURES_NAMES
  from neuralcoref.train.dataset import NCBatchSampler, padder_collate
  from neuralcoref.train.compat import unicode_
label_desc: Use image node_id 8 for calling the ConllEvaluator obj's underlying member method code with example usage: obj.test_model() without return types