Pre-commit fix

Author: cristian-tamblay

DashAI/back/models/base_model.py

@@ -394,7 +394,6 @@ def compute_metrics(
 
         return results
 
-
     def prepare_dataset(
         self, dataset: "DashAIDataset", is_fit: bool = False
     ) -> "DashAIDataset":

DashAI/back/optimizers/optuna_optimizer.py

@@ -191,7 +191,7 @@ def report(results, step):
             return
         trial.report(value, step)
         if trial.should_prune():
-            raise optuna.TrialPruned()
+            raise optuna.TrialPruned
 
     return report
 

tests/back/optimizers/test_optuna_pruning_integration.py

@@ -42,6 +42,7 @@ def _holdout_evaluate(model, input_dataset, output_dataset, metric):
         None, model, input_dataset, output_dataset, metric
     )
 
+
 EPOCHS = 12
 N_TRIALS = 10
 # MedianPruner never prunes its first `n_startup_trials` (5 by default): with

tests/back/optimizers/test_optuna_real_model.py

@@ -53,6 +53,7 @@ def _holdout_evaluate(model, input_dataset, output_dataset, metric):
         None, model, input_dataset, output_dataset, metric
     )
 
+
 EPOCHS = 3
 N_TRIALS = 3