diff --git a/bayes_opt/target_space.py b/bayes_opt/target_space.py index 39d1f9926..ba41bbfe8 100644 --- a/bayes_opt/target_space.py +++ b/bayes_opt/target_space.py @@ -312,9 +312,7 @@ def params_to_array(self, params: Mapping[str, float | NDArray[Float]]) -> NDArr Representation of the parameters as an array. """ if set(params) != set(self.keys): - error_msg = ( - f"Parameters' keys ({params}) do " f"not match the expected set of keys ({self.keys})." - ) + error_msg = f"Parameters' keys ({params}) do not match the expected set of keys ({self.keys})." raise ValueError(error_msg) return self._to_float(params) @@ -356,15 +354,14 @@ def array_to_params(self, x: NDArray[Float]) -> dict[str, float | NDArray[Float] """ if len(x) != self._dim: error_msg = ( - f"Size of array ({len(x)}) is different than the " - f"expected number of parameters ({self._dim})." + f"Size of array ({len(x)}) is different than the expected number of parameters ({self._dim})." ) raise ValueError(error_msg) return self._to_params(x) 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: @@ -704,9 +701,7 @@ def set_bounds(self, new_bounds: BoundsMapping) -> None: params_config[key] = new_params_config[key] 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})." - ) + msg = f"Dimensions of new bounds ({dims}) does not match dimensions of old bounds ({self.dim})." raise ValueError(msg) self._params_config = params_config self._bounds = self.calculate_bounds()