docs: ✏️ fix lint

basicts/metrics/corr.py

@@ -47,4 +47,4 @@ def masked_corr(prediction: torch.Tensor, target: torch.Tensor, null_val: float
     loss = loss * mask  # Apply the mask to the loss
     loss = torch.nan_to_num(loss)  # Replace any NaNs in the loss with zero
 
-    return torch.mean(loss)
+    return torch.mean(loss)

basicts/metrics/r_square.py

@@ -36,9 +36,9 @@ def masked_r2(prediction: torch.Tensor, target: torch.Tensor, null_val: float =
 
     ss_res = torch.sum(torch.pow((target - prediction), 2), dim=1)  # 残差平方和
     ss_tot = torch.sum(torch.pow(target - torch.mean(target, dim=1, keepdim=True), 2), dim=1)  # 总平方和
-    
+
     # 计算 R^2
     loss = 1 - (ss_res / (ss_tot + eps))
-    
+
     loss = torch.nan_to_num(loss)  # Replace any NaNs in the loss with zero
     return torch.mean(loss)