core: Add ruff rules for pycodestyle Warning (W) (#26964)

All auto-fixes.

libs/core/langchain_core/outputs/chat_result.py

@@ -20,16 +20,16 @@ class ChatResult(BaseModel):
 
     generations: list[ChatGeneration]
     """List of the chat generations.
-    
+
     Generations is a list to allow for multiple candidate generations for a single
     input prompt.
     """
     llm_output: Optional[dict] = None
     """For arbitrary LLM provider specific output.
-    
+
     This dictionary is a free-form dictionary that can contain any information that the
     provider wants to return. It is not standardized and is provider-specific.
-    
+
     Users should generally avoid relying on this field and instead rely on
     accessing relevant information from standardized fields present in
     AIMessage.

libs/core/langchain_core/outputs/generation.py

@@ -26,8 +26,8 @@ class Generation(Serializable):
     """Generated text output."""
 
     generation_info: Optional[dict[str, Any]] = None
-    """Raw response from the provider. 
-    
+    """Raw response from the provider.
+
     May include things like the reason for finishing or token log probabilities.
     """
     type: Literal["Generation"] = "Generation"

libs/core/langchain_core/outputs/llm_result.py

@@ -22,25 +22,25 @@ class LLMResult(BaseModel):
         list[Union[Generation, ChatGeneration, GenerationChunk, ChatGenerationChunk]]
     ]
     """Generated outputs.
-    
+
     The first dimension of the list represents completions for different input
     prompts.
-    
+
     The second dimension of the list represents different candidate generations
     for a given prompt.
-    
+
     When returned from an LLM the type is List[List[Generation]].
     When returned from a chat model the type is List[List[ChatGeneration]].
-    
+
     ChatGeneration is a subclass of Generation that has a field for a structured
     chat message.
     """
     llm_output: Optional[dict] = None
     """For arbitrary LLM provider specific output.
-    
+
     This dictionary is a free-form dictionary that can contain any information that the
     provider wants to return. It is not standardized and is provider-specific.
-    
+
     Users should generally avoid relying on this field and instead rely on
     accessing relevant information from standardized fields present in
     AIMessage.