[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

scripts/monte_carlo.py

@@ -101,7 +101,7 @@ def monte_carlo_sampling_pydoe2(
     random_state,
     criterion=None,
     iteration=None,
-    correlation_matrix=None
+    correlation_matrix=None,
 ):
     """
     Creates Latin Hypercube Sample (LHS) implementation from PyDOE2 with
@@ -133,11 +133,7 @@ def monte_carlo_sampling_pydoe2(
 
 
 def monte_carlo_sampling_chaospy(
-    N_FEATURES,
-    SAMPLES,
-    uncertainties_values,
-    seed,
-    rule="latin_hypercube"
+    N_FEATURES, SAMPLES, uncertainties_values, seed, rule="latin_hypercube"
 ):
     """
     Creates Latin Hypercube Sample (LHS) implementation from chaospy.
@@ -171,7 +167,7 @@ def monte_carlo_sampling_scipy(
     seed,
     centered=False,
     strength=2,
-    optimization=None
+    optimization=None,
 ):
     """
     Creates Latin Hypercube Sample (LHS) implementation from SciPy with various
@@ -390,7 +386,7 @@ def validate_parameters(sampling_strategy, samples, uncertainties_values):
             random_state=seed,
             criterion=None,
             iteration=None,
-            correlation_matrix=None
+            correlation_matrix=None,
         )
     if SAMPLING_STRATEGY == "scipy":
         lh = monte_carlo_sampling_scipy(
@@ -400,15 +396,11 @@ def validate_parameters(sampling_strategy, samples, uncertainties_values):
             seed=seed,
             centered=False,
             strength=2,
-            optimization=None
+            optimization=None,
         )
     if SAMPLING_STRATEGY == "chaospy":
         lh = monte_carlo_sampling_chaospy(
-            N_FEATURES,
-            SAMPLES,
-            uncertainties_values,
-            seed=seed,
-            rule="latin_hypercube"
+            N_FEATURES, SAMPLES, uncertainties_values, seed=seed, rule="latin_hypercube"
         )
 
     ### MONTE-CARLO MODIFICATIONS