diff --git a/pybop/costs/fitting_costs.py b/pybop/costs/fitting_costs.py
index 88b6a36d..e5e306ef 100644
--- a/pybop/costs/fitting_costs.py
+++ b/pybop/costs/fitting_costs.py
@@ -332,7 +332,6 @@ def _evaluate(self, inputs: Inputs, grad=None):
         log_likelihood = self.likelihood._evaluate(inputs)
         log_prior = sum(
             self.parameters[key].prior.logpdf(value) for key, value in inputs.items()
-
         )
 
         posterior = log_likelihood + log_prior
diff --git a/pybop/parameters/parameter.py b/pybop/parameters/parameter.py
index 00021dd8..ba4a15ae 100644
--- a/pybop/parameters/parameter.py
+++ b/pybop/parameters/parameter.py
@@ -426,7 +426,7 @@ def as_dict(self, values=None) -> Dict:
                 values = self.true_value()
         return {key: values[i] for i, key in enumerate(self.param.keys())}
 
-    def verify(self, inputs: Union[Inputs, None]=None):
+    def verify(self, inputs: Union[Inputs, None] = None):
         """
         Verify that the inputs are an Inputs dictionary or numeric values
         which can be used to construct an Inputs dictionary
diff --git a/tests/integration/test_optimisation_options.py b/tests/integration/test_optimisation_options.py
index 33143a78..a196ac67 100644
--- a/tests/integration/test_optimisation_options.py
+++ b/tests/integration/test_optimisation_options.py
@@ -117,7 +117,5 @@ def get_data(self, model, parameters, x, init_soc):
             ]
             * 2
         )
-        sim = model.predict(
-            init_soc=init_soc, experiment=experiment, inputs=x
-        )
+        sim = model.predict(init_soc=init_soc, experiment=experiment, inputs=x)
         return sim
diff --git a/tests/integration/test_spm_parameterisations.py b/tests/integration/test_spm_parameterisations.py
index 920e1b2a..20fdee0e 100644
--- a/tests/integration/test_spm_parameterisations.py
+++ b/tests/integration/test_spm_parameterisations.py
@@ -245,7 +245,5 @@ def get_data(self, model, parameters, x, init_soc):
             ]
             * 2
         )
-        sim = model.predict(
-            init_soc=init_soc, experiment=experiment, inputs=x
-        )
+        sim = model.predict(init_soc=init_soc, experiment=experiment, inputs=x)
         return sim
diff --git a/tests/unit/test_problem.py b/tests/unit/test_problem.py
index 1664e6ce..c2c40a03 100644
--- a/tests/unit/test_problem.py
+++ b/tests/unit/test_problem.py
@@ -182,9 +182,7 @@ def test_problem_construct_with_model_predict(
     ):
         # Construct model and predict
         model.parameters = parameters
-        out = model.predict(
-            inputs=[1e-5, 1e-5], t_eval=np.linspace(0, 10, 100)
-        )
+        out = model.predict(inputs=[1e-5, 1e-5], t_eval=np.linspace(0, 10, 100))
 
         problem = pybop.FittingProblem(
             model, parameters, dataset=dataset, signal=signal