diff --git a/sml/metrics/regression/regression_emul.py b/sml/metrics/regression/regression_emul.py
index c0d6f185..6adc0808 100644
--- a/sml/metrics/regression/regression_emul.py
+++ b/sml/metrics/regression/regression_emul.py
@@ -33,7 +33,7 @@
 
 
 def emul_d2_tweedie_score(mode: emulation.Mode.MULTIPROCESS):
-    power_list = [-1, 0 , 1, 2, 3]
+    power_list = [-1, 0, 1, 2, 3]
     weight_list = [None, jnp.array([0.5, 0.5, 0.5, 0.5]), jnp.array([0.5, 1, 2, 0.5])]
 
     # Test d2_tweedie_score
@@ -49,6 +49,7 @@ def emul_d2_tweedie_score(mode: emulation.Mode.MULTIPROCESS):
             )
             np.testing.assert_allclose(sk_result, spu_result, rtol=0, atol=1e-4)
 
+
 def emul_explained_variance_score(mode: emulation.Mode.MULTIPROCESS):
     weight_list = [None, jnp.array([0.5, 0.5, 0.5, 0.5]), jnp.array([0.5, 1, 2, 0.5])]
 
@@ -68,6 +69,7 @@ def emul_explained_variance_score(mode: emulation.Mode.MULTIPROCESS):
         )
         np.testing.assert_allclose(sk_result, spu_result, rtol=0, atol=1e-4)
 
+
 def emul_mean_squared_error(mode: emulation.Mode.MULTIPROCESS):
     weight_list = [None, jnp.array([0.5, 0.5, 0.5, 0.5]), jnp.array([0.5, 1, 2, 0.5])]
 
@@ -83,6 +85,7 @@ def emul_mean_squared_error(mode: emulation.Mode.MULTIPROCESS):
         )
         np.testing.assert_allclose(sk_result, spu_result, rtol=0, atol=1e-4)
 
+
 def emul_mean_poisson_deviance(mode: emulation.Mode.MULTIPROCESS):
     weight_list = [None, jnp.array([0.5, 0.5, 0.5, 0.5]), jnp.array([0.5, 1, 2, 0.5])]
 
@@ -94,6 +97,7 @@ def emul_mean_poisson_deviance(mode: emulation.Mode.MULTIPROCESS):
         spu_result = emulator.run(mean_poisson_deviance)(y_true, y_pred, weight)
         np.testing.assert_allclose(sk_result, spu_result, rtol=0, atol=1e-4)
 
+
 def emul_mean_gamma_deviance(mode: emulation.Mode.MULTIPROCESS):
     weight_list = [None, jnp.array([0.5, 0.5, 0.5, 0.5]), jnp.array([0.5, 1, 2, 0.5])]