Rename _ask to ask

optimas/generators/ax/developer/multitask.py

@@ -162,7 +162,7 @@ def _check_inputs(
             "to the number of high-fidelity trials"
         )
 
-    def _ask(self, trials: List[Trial]) -> List[Trial]:
+    def ask(self, trials: List[Trial]) -> List[Trial]:
         """Fill in the parameter values of the requested trials."""
         for trial in trials:
             next_trial = self._get_next_trial_arm()

optimas/generators/ax/service/base.py

@@ -142,7 +142,7 @@ def model(self) -> AxModelManager:
         """Get access to the underlying model using an `AxModelManager`."""
         return self._model
 
-    def _ask(self, trials: List[Trial]) -> List[Trial]:
+    def ask(self, trials: List[Trial]) -> List[Trial]:
         """Fill in the parameter values of the requested trials."""
         for trial in trials:
             parameters, trial_id = self._ax_client.get_next_trial(

optimas/generators/base.py

@@ -215,7 +215,7 @@ def ask_trials(self, n_trials: int) -> List[Trial]:
                     )
                 )
             # Ask the generator to fill them.
-            gen_trials = self._ask(gen_trials)
+            gen_trials = self.ask(gen_trials)
             # Keep only trials that have been given data.
             for trial in gen_trials:
                 if len(trial.parameter_values) > 0:
@@ -578,7 +578,7 @@ def get_libe_specs(self) -> Dict:
         libE_specs = {}
         return libE_specs
 
-    def _ask(self, trials: List[Trial]) -> List[Trial]:
+    def ask(self, trials: List[Trial]) -> List[Trial]:
         """Ask method to be implemented by the Generator subclasses.
 
         Parameters

optimas/generators/grid_sampling.py

@@ -67,7 +67,7 @@ def _create_configurations(self) -> None:
             all_configs.append(config)
         self._all_configs = all_configs
 
-    def _ask(self, trials: List[Trial]) -> List[Trial]:
+    def ask(self, trials: List[Trial]) -> List[Trial]:
         """Fill in the parameter values of the requested trials."""
         for trial in trials:
             if self._all_configs:

optimas/generators/line_sampling.py

@@ -103,7 +103,7 @@ def _create_configurations(self) -> None:
         # Store configurations.
         self._all_configs = all_configs
 
-    def _ask(self, trials: List[Trial]) -> List[Trial]:
+    def ask(self, trials: List[Trial]) -> List[Trial]:
         """Fill in the parameter values of the requested trials."""
         for trial in trials:
             if self._all_configs:

optimas/generators/random_sampling.py

@@ -57,7 +57,7 @@ def __init__(
         self._rng = np.random.default_rng(seed)
         self._define_generator_parameters()
 
-    def _ask(self, trials: List[Trial]) -> List[Trial]:
+    def ask(self, trials: List[Trial]) -> List[Trial]:
         """Fill in the parameter values of the requested trials."""
         n_trials = len(trials)
         configs = self._generate_sampling[self._distribution](n_trials)