Improve seq greedy error handling

baybe/recommenders/pure/bayesian/sequential_greedy.py

@@ -68,19 +68,20 @@ def _recommend_discrete(
     ) -> pd.Index:
         # See base class.
 
+        # For batch size > 1, this optimizer need a MC acquisition function
+        if batch_size > 1 and not self.acquisition_function.is_mc:
+            raise NoMCAcquisitionFunctionError(
+                f"The '{self.__class__.__name__}' only works with Monte Carlo "
+                f"acquisition functions for batch sizes > 1."
+            )
+
         from botorch.optim import optimize_acqf_discrete
 
         # determine the next set of points to be tested
         candidates_tensor = to_tensor(candidates_comp)
-        try:
-            points, _ = optimize_acqf_discrete(
-                self._botorch_acqf, batch_size, candidates_tensor
-            )
-        except AttributeError as ex:
-            raise NoMCAcquisitionFunctionError(
-                f"The '{self.__class__.__name__}' only works with Monte Carlo "
-                f"acquisition functions for batch sizes > 1."
-            ) from ex
+        points, _ = optimize_acqf_discrete(
+            self._botorch_acqf, batch_size, candidates_tensor
+        )
 
         # retrieve the index of the points from the input dataframe
         # IMPROVE: The merging procedure is conceptually similar to what