code: def test_mp_eval(self):
      args = dict(
          task="integration_tests:multiturn_nocandidate",
          model="seq2seq",
          model_file="zoo:unittest/seq2seq/model",
          dict_file="zoo:unittest/seq2seq/model.dict",
          skip_generation=False,
          batchsize=8,
      )
      valid, _ = testing_utils.eval_model(args, skip_test=True)
  
      from parlai.scripts.multiprocessing_eval import MultiProcessEval
  
      valid_mp = MultiProcessEval.main(**args)
  
      for key in [
          "exs",
          "ppl",
          "token_acc",
          "f1",
          "bleu-4",
          "accuracy",
      ]:
          self.assertAlmostEquals(
              valid[key].value(), valid_mp[key].value(), delta=0.001
          )
  
imports: import os
  import unittest
  import parlai.utils.testing
  import parlai.scripts.build_dict
  import parlai.scripts.multiprocessing_train
  import parlai.tasks.integration_tests.agents
label_desc: Use image node_id 1 for calling the TestDistributedEval obj's underlying member method code with example usage: obj.test_mp_eval() without return types