old_contents: import unittest
  import pytest
  from os import environ
  from rl.experiment import run
  from . import conftest
  import pandas as pd
  
  
  class AdvancedTest(unittest.TestCase):
  
      @classmethod
      def test_sarsa(cls):
          data_df = run('rand_sarsa')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_exp_sarsa(cls):
          data_df = run('exp_sarsa')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_offpol_sarsa(cls):
          data_df = run('offpol_sarsa')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_acrobot(cls):
          data_df = run('acrobot')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_mountain_dqn(cls):
          data_df = run('mountain_dqn')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_lunar_dqn(cls):
          data_df = run('lunar_dqn')
          assert isinstance(data_df, pd.DataFrame)
  
      @unittest.skipIf(environ.get('CI'),
                       "Delay CI test until dev stable")
      @classmethod
      def test_breakout_dqn(cls):
          data_df = run('breakout_dqn')
          assert isinstance(data_df, pd.DataFrame)
  
      @unittest.skipIf(environ.get('CI'),
                       "Delay CI test until dev stable")
      @classmethod
      def test_breakout_double_dqn(cls):
          data_df = run('breakout_double_dqn')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_cartpole_ac_argmax(cls):
          data_df = run('cartpole_ac_argmax')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_pendulum_ddpg(cls):
          data_df = run('pendulum_ddpg')
          assert isinstance(data_df, pd.DataFrame)
  
new_contents: import unittest
  import pytest
  from os import environ
  from rl.experiment import run
  from . import conftest
  import pandas as pd
  
  
  class AdvancedTest(unittest.TestCase):
  
      @classmethod
      def test_sarsa(cls):
          data_df = run('sarsa')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_exp_sarsa(cls):
          data_df = run('exp_sarsa')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_offpol_sarsa(cls):
          data_df = run('offpol_sarsa')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_acrobot(cls):
          data_df = run('acrobot')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_mountain_dqn(cls):
          data_df = run('mountain_dqn')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_lunar_dqn(cls):
          data_df = run('lunar_dqn')
          assert isinstance(data_df, pd.DataFrame)
  
      @unittest.skipIf(environ.get('CI'),
                       "Delay CI test until dev stable")
      @classmethod
      def test_breakout_dqn(cls):
          data_df = run('breakout_dqn')
          assert isinstance(data_df, pd.DataFrame)
  
      @unittest.skipIf(environ.get('CI'),
                       "Delay CI test until dev stable")
      @classmethod
      def test_breakout_double_dqn(cls):
          data_df = run('breakout_double_dqn')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_cartpole_ac_argmax(cls):
          data_df = run('cartpole_ac_argmax')
          assert isinstance(data_df, pd.DataFrame)
  
      @classmethod
      def test_pendulum_ddpg(cls):
          data_df = run('pendulum_ddpg')
          assert isinstance(data_df, pd.DataFrame)
  
subject: fix sarsa test