style: pre-commit fixes

Author: pre-commit-ci[bot]

tests/integration/test_classification.py

@@ -195,7 +195,6 @@ def test_classify_using_hessian(self, simulator, dataset):
             message, _ = pybop.classify_using_hessian(result)
             assert message == "The optimiser has located a maximum."
 
-
     def test_insensitive_classify_using_hessian(self, model, parameter_values):
         param_R0_a = pybop.Parameter(bounds=[0, 0.002])
         param_R0_b = pybop.Parameter(bounds=[-0.001, 0.001])
@@ -270,7 +269,10 @@ def __init__(self):
                 self.names = ["p0", "p1"]
 
             def get_bounds(self):
-                return {"lower": np.array([-10.0, -10.0]), "upper": np.array([10.0, 10.0])}
+                return {
+                    "lower": np.array([-10.0, -10.0]),
+                    "upper": np.array([10.0, 10.0]),
+                }
 
         class TestProblem:
             def __init__(self, A, b, c=0.0):
@@ -332,4 +334,4 @@ class TestResult:
         assert Z.shape == (41, 41)
         assert np.isfinite(Z).all()
         assert param0.min() < x[0] < param0.max()
-        assert param1.min() < x[1] < param1.max()
+        assert param1.min() < x[1] < param1.max()