Appease the new version of ruff

Author: jameskrach

bayes_opt/__init__.py

@@ -15,10 +15,10 @@
 
 
 __all__ = [
-    "acquisition",
     "BayesianOptimization",
-    "TargetSpace",
     "ConstraintModel",
     "ScreenLogger",
     "SequentialDomainReductionTransformer",
+    "TargetSpace",
+    "acquisition",
 ]

bayes_opt/constraint.py

@@ -240,7 +240,7 @@ def approx(self, X: NDArray[Float]) -> NDArray[Float]:
             return self._model[0].predict(X).reshape(X_shape[:-1])
 
         result = np.column_stack([gp.predict(X) for gp in self._model])
-        return result.reshape(X_shape[:-1] + (len(self._lb),))
+        return result.reshape(*X_shape[:-1], len(self._lb))
 
     def allowed(self, constraint_values: NDArray[Float]) -> NDArray[np.bool_]:
         """Check whether `constraint_values` fulfills the specified limits.

bayes_opt/exception.py

@@ -4,9 +4,9 @@
 
 __all__ = [
     "BayesianOptimizationError",
-    "NotUniqueError",
     "ConstraintNotSupportedError",
     "NoValidPointRegisteredError",
+    "NotUniqueError",
     "TargetSpaceEmptyError",
 ]
 

tests/test_seq_domain_red.py

@@ -156,14 +156,14 @@ def verify_bounds_in_range(new_bounds, global_bounds):
 
     # test if both (upper/lower) bounds for a parameter exceed the global bounds
     new_bounds = np.array([[-50, -20], [20, 50]])
-    with pytest.warns(UserWarning):
+    with pytest.warns(UserWarning, match="A parameter's lower bound is greater than the global upper bound"):
         trimmed_bounds = bounds_transformer._trim(new_bounds, global_bounds)
     assert verify_bounds_in_range(trimmed_bounds, global_bounds)
 
     # test if both (upper/lower) bounds for a parameter exceed the global bounds
     # while they are out of order
     new_bounds = np.array([[-20, -50], [-10, 10]])
-    with pytest.warns(UserWarning):
+    with pytest.warns(UserWarning, match="A parameter's lower bound is greater than the global upper bound"):
         trimmed_bounds = bounds_transformer._trim(new_bounds, global_bounds)
     assert verify_bounds_in_range(trimmed_bounds, global_bounds)
 

tests/test_target_space.py

@@ -125,7 +125,7 @@ def test_register_point_beyond_bounds():
     PBOUNDS = {"p1": (0, 1), "p2": (1, 10)}
     space = TargetSpace(target_func, PBOUNDS)
 
-    with pytest.warns(UserWarning):
+    with pytest.warns(UserWarning, match="is outside the bounds of the parameter"):
         space.register(params={"p1": 0.5, "p2": 20}, target=2.5)
 
 
@@ -209,7 +209,7 @@ def test_y_max_within_pbounds():
     assert space._target_max() is None
     space.probe(params={"p1": 1, "p2": 2})
     space.probe(params={"p1": 0, "p2": 1})
-    with pytest.warns(UserWarning):
+    with pytest.warns(UserWarning, match="is outside the bounds of the parameter"):
         space.probe(params={"p1": 5, "p2": 1})
     assert space._target_max() == 3