Add ruff rule for empty line with trailing whitespace.

comfy/model_patcher.py

@@ -83,7 +83,7 @@ def set_model_options_pre_cfg_function(model_options, pre_cfg_function, disable_
 
 def create_model_options_clone(orig_model_options: dict):
     return comfy.patcher_extension.copy_nested_dicts(orig_model_options)
-        
+
 def create_hook_patches_clone(orig_hook_patches):
     new_hook_patches = {}
     for hook_ref in orig_hook_patches:
@@ -141,7 +141,7 @@ class AutoPatcherEjector:
         self.was_injected = False
         self.prev_skip_injection = False
         self.skip_and_inject_on_exit_only = skip_and_inject_on_exit_only
-    
+
     def __enter__(self):
         self.was_injected = False
         self.prev_skip_injection = self.model.skip_injection
@@ -164,7 +164,7 @@ class MemoryCounter:
         self.value = initial
         self.minimum = minimum
         # TODO: add a safe limit besides 0
-    
+
     def use(self, weight: torch.Tensor):
         weight_size = weight.nelement() * weight.element_size()
         if self.is_useable(weight_size):
@@ -711,7 +711,7 @@ class ModelPatcher:
                             else:
                                 comfy.utils.set_attr_param(self.model, key, bk.weight)
                             self.backup.pop(key)
-                    
+
                     weight_key = "{}.weight".format(n)
                     bias_key = "{}.bias".format(n)
                     if move_weight:
@@ -789,7 +789,7 @@ class ModelPatcher:
     def add_callback_with_key(self, call_type: str, key: str, callback: Callable):
         c = self.callbacks.setdefault(call_type, {}).setdefault(key, [])
         c.append(callback)
-    
+
     def remove_callbacks_with_key(self, call_type: str, key: str):
         c = self.callbacks.get(call_type, {})
         if key in c:
@@ -797,7 +797,7 @@ class ModelPatcher:
 
     def get_callbacks(self, call_type: str, key: str):
         return self.callbacks.get(call_type, {}).get(key, [])
-    
+
     def get_all_callbacks(self, call_type: str):
         c_list = []
         for c in self.callbacks.get(call_type, {}).values():
@@ -810,7 +810,7 @@ class ModelPatcher:
     def add_wrapper_with_key(self, wrapper_type: str, key: str, wrapper: Callable):
         w = self.wrappers.setdefault(wrapper_type, {}).setdefault(key, [])
         w.append(wrapper)
-    
+
     def remove_wrappers_with_key(self, wrapper_type: str, key: str):
         w = self.wrappers.get(wrapper_type, {})
         if key in w:
@@ -831,7 +831,7 @@ class ModelPatcher:
     def remove_attachments(self, key: str):
         if key in self.attachments:
             self.attachments.pop(key)
-    
+
     def get_attachment(self, key: str):
         return self.attachments.get(key, None)
 
@@ -851,7 +851,7 @@ class ModelPatcher:
 
     def get_additional_models_with_key(self, key: str):
         return self.additional_models.get(key, [])
-    
+
     def get_additional_models(self):
         all_models = []
         for models in self.additional_models.values():
@@ -906,7 +906,7 @@ class ModelPatcher:
             self.model.current_patcher = self
         for callback in self.get_all_callbacks(CallbacksMP.ON_PRE_RUN):
             callback(self)
-    
+
     def prepare_state(self, timestep):
         for callback in self.get_all_callbacks(CallbacksMP.ON_PREPARE_STATE):
             callback(self, timestep)
@@ -918,7 +918,7 @@ class ModelPatcher:
 
     def set_hook_mode(self, hook_mode: comfy.hooks.EnumHookMode):
         self.hook_mode = hook_mode
-    
+
     def prepare_hook_patches_current_keyframe(self, t: torch.Tensor, hook_group: comfy.hooks.HookGroup):
         curr_t = t[0]
         reset_current_hooks = False
@@ -975,7 +975,7 @@ class ModelPatcher:
                     key = k[0]
                     if len(k) > 2:
                         function = k[2]
-                
+
                 if key in model_sd:
                     p.add(k)
                     current_patches: list[tuple] = current_hook_patches.get(key, [])
@@ -1063,7 +1063,7 @@ class ModelPatcher:
     def patch_hook_weight_to_device(self, hooks: comfy.hooks.HookGroup, combined_patches: dict, key: str, original_weights: dict, memory_counter: MemoryCounter):
         if key not in combined_patches:
             return
-        
+
         weight, set_func, convert_func = get_key_weight(self.model, key)
         weight: torch.Tensor
         if key not in self.hook_backup:
@@ -1098,7 +1098,7 @@ class ModelPatcher:
         del temp_weight
         del out_weight
         del weight
-    
+
     def unpatch_hooks(self) -> None:
         with self.use_ejected():
             if len(self.hook_backup) == 0:
@@ -1107,7 +1107,7 @@ class ModelPatcher:
             keys = list(self.hook_backup.keys())
             for k in keys:
                 comfy.utils.copy_to_param(self.model, k, self.hook_backup[k][0].to(device=self.hook_backup[k][1]))
-                    
+
             self.hook_backup.clear()
             self.current_hooks = None