[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

pvnet/models/base_model.py

@@ -433,7 +433,7 @@ def _training_accumulate_log(self, batch, batch_idx, losses, y_hat):
     def training_step(self, batch, batch_idx):
         """Run training step"""
         y_hat = self(batch)
-        y = batch[self._target_key][:,0, -self.forecast_len_30 :]
+        y = batch[self._target_key][:, 0, -self.forecast_len_30 :]
 
         losses = self._calculate_common_losses(y, y_hat)
         losses = {f"{k}/train": v for k, v in losses.items()}
@@ -454,7 +454,7 @@ def validation_step(self, batch: dict, batch_idx):
         print(f"{batch[self._target_key][:, -self.forecast_len_30 :, 0].shape=}")
         print(f"{self.forecast_len_30=}")
         # Sensor seems to be in batch, station, time order
-        y = batch[self._target_key][:,0, -self.forecast_len_30 :]
+        y = batch[self._target_key][:, 0, -self.forecast_len_30 :]
 
         losses = self._calculate_common_losses(y, y_hat)
         losses.update(self._calculate_val_losses(y, y_hat))