code: def test_pure_python_engine_performance(self):
      # Given
      dataset_path = str(PERFORMANCE_DATASET_PATH)
  
      # When
      results = compute_cross_val_metrics(
          dataset_path,
          engine_class=TrainingEngine,
          nb_folds=5,
          train_size_ratio=1.0,
          slot_matching_lambda=_slot_matching_lambda,
          progression_handler=None,
      )
  
      # Then
      self.check_metrics(results)
  
file_path: snips-nlu/snips_nlu/tests/integration_test.py
imports: from __future__ import print_function, unicode_literals
  from builtins import str
  from future.utils import iteritems
  from snips_nlu_metrics import compute_cross_val_metrics
  from snips_nlu.constants import LANGUAGE_EN
  from snips_nlu.nlu_engine.nlu_engine import SnipsNLUEngine
  from snips_nlu.preprocessing import tokenize_light
  from snips_nlu.tests.utils import PERFORMANCE_DATASET_PATH, SnipsTest
label_desc: Use image node_id 1 for calling the IntegrationTestSnipsNLUEngine obj's underlying member method code with example usage: obj.test_pure_python_engine_performance() without return types