diff --git a/stable_baselines3/cmaes/cmaes.py b/stable_baselines3/cmaes/cmaes.py
index e6926e0..027aa80 100644
--- a/stable_baselines3/cmaes/cmaes.py
+++ b/stable_baselines3/cmaes/cmaes.py
@@ -94,7 +94,7 @@ class CMAES(BaseAlgorithm):
         if self.es is None:
             options = {"seed": self.seed}
             if self.env.num_envs > 1:
-                options['popsize'] = self.env.num_envs
+                options["popsize"] = self.env.num_envs
             self.es = cma.CMAEvolutionStrategy(self.best_individual, self.std_init, options)
         continue_training = True
 
diff --git a/tests/test_run.py b/tests/test_run.py
index 7221117..f2f4e5a 100644
--- a/tests/test_run.py
+++ b/tests/test_run.py
@@ -82,6 +82,7 @@ def test_n_critics(n_critics):
     )
     model.learn(total_timesteps=1000)
 
+
 # "CartPole-v1"
 @pytest.mark.parametrize("env_id", ["MountainCarContinuous-v0"])
 def test_cmaes(env_id):
@@ -91,7 +92,6 @@ def test_cmaes(env_id):
     model.learn(total_timesteps=50000, eval_freq=10000)
 
 
-
 # def test_crr(tmp_path):
 #     model = TQC(
 #         "MlpPolicy",