fix: bump lockfiles (#31923)

* bump lockfiles after upgrading ruff
* resolve resulting linting fixes

libs/partners/huggingface/langchain_huggingface/__init__.py

@@ -12,8 +12,8 @@ from langchain_huggingface.llms import (
 
 __all__ = [
     "ChatHuggingFace",
-    "HuggingFaceEndpointEmbeddings",
     "HuggingFaceEmbeddings",
     "HuggingFaceEndpoint",
+    "HuggingFaceEndpointEmbeddings",
     "HuggingFacePipeline",
 ]

libs/partners/huggingface/langchain_huggingface/chat_models/__init__.py

@@ -5,4 +5,4 @@ from langchain_huggingface.chat_models.huggingface import (  # type: ignore[impo
     _convert_dict_to_message,
 )
 
-__all__ = ["ChatHuggingFace", "_convert_dict_to_message", "TGI_MESSAGE", "TGI_RESPONSE"]
+__all__ = ["TGI_MESSAGE", "TGI_RESPONSE", "ChatHuggingFace", "_convert_dict_to_message"]

libs/partners/huggingface/langchain_huggingface/chat_models/huggingface.py

@@ -552,7 +552,7 @@ class ChatHuggingFace(BaseChatModel):
         messages: list[BaseMessage],
         stop: Optional[list[str]] = None,
         run_manager: Optional[CallbackManagerForLLMRun] = None,
-        stream: Optional[bool] = None,
+        stream: Optional[bool] = None,  # noqa: FBT001
         **kwargs: Any,
     ) -> ChatResult:
         should_stream = stream if stream is not None else self.streaming
@@ -593,7 +593,7 @@ class ChatHuggingFace(BaseChatModel):
         messages: list[BaseMessage],
         stop: Optional[list[str]] = None,
         run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
-        stream: Optional[bool] = None,
+        stream: Optional[bool] = None,  # noqa: FBT001
         **kwargs: Any,
     ) -> ChatResult:
         if _is_huggingface_textgen_inference(self.llm):

libs/partners/huggingface/langchain_huggingface/embeddings/huggingface.py

@@ -76,7 +76,7 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
 
         if self.model_kwargs.get("backend", "torch") == "ipex":
             if not is_optimum_intel_available() or not is_ipex_available():
-                msg = f'Backend: ipex {IMPORT_ERROR.format("optimum[ipex]")}'
+                msg = f"Backend: ipex {IMPORT_ERROR.format('optimum[ipex]')}"
                 raise ImportError(msg)
 
             if is_optimum_intel_version("<", _MIN_OPTIMUM_VERSION):

libs/partners/huggingface/langchain_huggingface/llms/huggingface_pipeline.py

@@ -149,7 +149,7 @@ class HuggingFacePipeline(BaseLLM):
                 )
                 raise ValueError(msg)
 
-            err_msg = f'Backend: {backend} {IMPORT_ERROR.format(f"optimum[{backend}]")}'
+            err_msg = f"Backend: {backend} {IMPORT_ERROR.format(f'optimum[{backend}]')}"
             if not is_optimum_intel_available():
                 raise ImportError(err_msg)