Fixing formatting issue

Author: udicaprio

bayes_opt/acquisition.py

@@ -403,9 +403,8 @@ def continuous_acq(x: NDArray[Float], x_try=x_try) -> NDArray[Float]:
                         return acq(x_try)
 
                     res: OptimizeResult = minimize(
-                        continuous_acq,
-                        x_min[continuous_dimensions],
-                        bounds=continuous_bounds)
+                        continuous_acq, x_min[continuous_dimensions], bounds=continuous_bounds
+                    )
                     if np.squeeze(res.fun) >= min_acq and res.success:
                         x_try[continuous_dimensions] = res.x
                         x_min = x_try
@@ -415,7 +414,7 @@ def continuous_acq(x: NDArray[Float], x_try=x_try) -> NDArray[Float]:
             min_acq = np.inf
             x_min = np.array([np.nan] * space.bounds.shape[0])
 
-        x_min=space.kernel_transform(x_min).reshape(x_min.shape)
+        x_min = space.kernel_transform(x_min).reshape(x_min.shape)
         # Clip output to make sure it lies within the bounds. Due to floating
         # point technicalities this is not always the case.
         return np.clip(x_min, space.bounds[:, 0], space.bounds[:, 1]), min_acq