added exit call to stateless

Stateless now return None, parameter_names if it has finished

hypermapper/bo/bo.py

@@ -114,7 +114,7 @@ def main(settings, black_box_function=None):
     )
     if default_doe_parameter_array.shape[0] > 0:
         if settings["hypermapper_mode"]["mode"] == "stateless":
-            return default_doe_parameter_array, param_space.parameter_names
+            return default_doe_parameter_array.numpy(), param_space.parameter_names
         else:
             default_doe_data_array = param_space.run_configurations(
                 default_doe_parameter_array,
@@ -157,7 +157,7 @@ def main(settings, black_box_function=None):
                 allow_repetitions=False,
             )
             if settings["hypermapper_mode"]["mode"] == "stateless":
-                return tmp_parameter_array, param_space.parameter_names
+                return tmp_parameter_array.numpy(), param_space.parameter_names
             else:
                 tmp_data_array = param_space.run_configurations(
                     tmp_parameter_array, beginning_of_time, settings, black_box_function
@@ -319,7 +319,7 @@ def main(settings, black_box_function=None):
         ##################
         black_box_function_t0 = time.time()
         if settings["hypermapper_mode"]["mode"] == "stateless":
-            return best_configurations, param_space.parameter_names
+            return best_configurations.numpy(), param_space.parameter_names
         else:
             new_data_array = param_space.run_configurations(
                 best_configurations,
@@ -389,4 +389,7 @@ def main(settings, black_box_function=None):
         ("Total script time %10.2f sec\n" % (time.time() - start_time))
     )
 
+    if settings["hypermapper_mode"]["mode"] == "stateless":
+        return None, param_space.parameter_names
+
     return data_array

hypermapper/run.py

@@ -56,7 +56,7 @@ def optimize(
 
         out = bo.main(settings, black_box_function=black_box_function)
         if isinstance(out, tuple):
-            return out[0].numpy(), out[1]  # configurations and parameter names
+            return out  # configurations and parameter names
         else:
             data_array = out