Fix weird formatting

Author: Gerrit0

bayes_opt/target_space.py

@@ -313,7 +313,7 @@ def params_to_array(self, params: Mapping[str, float | NDArray[Float]]) -> NDArr
         """
         if set(params) != set(self.keys):
             error_msg = (
-                f"Parameters' keys ({params}) do " f"not match the expected set of keys ({self.keys})."
+                f"Parameters' keys ({params}) do not match the expected set of keys ({self.keys})."
             )
             raise ValueError(error_msg)
         return self._to_float(params)
@@ -364,7 +364,7 @@ def array_to_params(self, x: NDArray[Float]) -> dict[str, float | NDArray[Float]
 
     def _to_float(self, value: Mapping[str, float | NDArray[Float]]) -> NDArray[Float]:
         if set(value) != set(self.keys):
-            msg = f"Parameters' keys ({value}) do " f"not match the expected set of keys ({self.keys})."
+            msg = f"Parameters' keys ({value}) do not match the expected set of keys ({self.keys})."
             raise ValueError(msg)
         res = np.zeros(self._dim)
         for key in self._keys:
@@ -705,7 +705,7 @@ def set_bounds(self, new_bounds: BoundsMapping) -> None:
             dims = dims + params_config[key].dim
         if dims != self.dim:
             msg = (
-                f"Dimensions of new bounds ({dims}) does not match" f" dimensions of old bounds ({self.dim})."
+                f"Dimensions of new bounds ({dims}) does not match dimensions of old bounds ({self.dim})."
             )
             raise ValueError(msg)
         self._params_config = params_config