fix(lint): instantiate NotImplementedError() consistently

Replace bare NotImplementedError raises with explicit instantiation.

Updated datasets, LoRA engine, and stable_diffusion modules.

Aligns with pre-commit lint rules; no functional change.

Author: glennko

src/xturing/datasets/text2image_dataset.py

@@ -9,4 +9,4 @@ def __init__(self, path: Union[str, Path]):
         raise NotImplementedError("Text2ImageDataset is not implemented yet.")
 
     def _validate(self):
-        raise NotImplementedError
+        raise NotImplementedError()

src/xturing/engines/lora_engine/lora.py

@@ -521,7 +521,7 @@ def mark_only_lora_as_trainable(model: nn.Module, bias: str = "none") -> None:
             if isinstance(m, LoraLayer) and hasattr(m, "bias") and m.bias is not None:
                 m.bias.requires_grad = True
     else:
-        raise NotImplementedError
+        raise NotImplementedError()
 
 
 class LoraLayer:

src/xturing/engines/lora_engine/save_and_load.py

@@ -48,7 +48,7 @@ def get_peft_model_state_dict(model, state_dict=None):
                 if bias_name in state_dict:
                     to_return[bias_name] = state_dict[bias_name]
     else:
-        raise NotImplementedError
+        raise NotImplementedError()
     to_return = {
         k: v for k, v in to_return.items() if (("lora_" in k) or ("bias" in k))
     }

src/xturing/models/stable_diffusion.py

@@ -19,14 +19,14 @@ def finetune(self, dataset: Text2ImageDataset, logger=True):
             dataset (Text2ImageDataset): Dataset to finetune on.
             logger (bool, optional): To be setup with a Pytorch Lightning logger when implemented.
         """
-        raise NotImplementedError
+        raise NotImplementedError()
 
     def generate(
         self,
         texts: Optional[Union[List[str], str]] = None,
         dataset: Optional[Text2ImageDataset] = None,
     ):
-        raise NotImplementedError
+        raise NotImplementedError()
 
     def save(self, path: Union[str, Path]):
-        raise NotImplementedError
+        raise NotImplementedError()