text: import pytest
  
  from newsgac.learners import LearnerNB
  from newsgac.nlp_tools import Frog
  from newsgac.pipelines.models import Pipeline
  from newsgac.pipelines.run import run_pipeline
  
  
  @pytest.mark.frog
  def test_run_frog_nb_pipeline(test_user, data_source_balanced_10):
      pipeline = Pipeline(
          display_title='Frog NB Balanced 10 test',
          user=test_user,
          data_source=data_source_balanced_10,
          nlp_tool=Frog.create(),
          learner=LearnerNB.create()
      )
      pipeline.save()
      run_pipeline(pipeline)
      if not pipeline.sk_pipeline is not None: raise AssertionError()
  
  
  @pytest.mark.frog
  @pytest.mark.timeout(20)
  def test_second_run_uses_cache(test_user, data_source_balanced_10):
      pipeline = Pipeline(
          display_title='Frog NB Balanced 10 test (copy)',
          user=test_user,
          data_source=data_source_balanced_10,
          nlp_tool=Frog.create(),
          learner=LearnerNB.create()
      )
      pipeline.save()
      run_pipeline(pipeline)
      if not pipeline.sk_pipeline is not None: raise AssertionError()
  