Install and use ruff format instead of black for code formatting. (#12585)

Best to review one commit at a time, since two of the commits are 100%
autogenerated changes from running `ruff format`:
- Install and use `ruff format` instead of black for code formatting.
- Output of `ruff format .` in the `langchain` package.
- Use `ruff format` in experimental package.
- Format changes in experimental package by `ruff format`.
- Manual formatting fixes to make `ruff .` pass.

libs/experimental/langchain_experimental/tabular_synthetic_data/openai.py

@@ -16,7 +16,7 @@ def create_openai_data_generator(
     llm: ChatOpenAI,
     prompt: BasePromptTemplate,
     output_parser: Optional[BaseLLMOutputParser] = None,
-    **kwargs: Any
+    **kwargs: Any,
 ) -> SyntheticDataGenerator:
     """
     Create an instance of SyntheticDataGenerator tailored for OpenAI models.

libs/experimental/langchain_experimental/tot/thought_generation.py

@@ -29,7 +29,7 @@ class BaseThoughtGenerationStrategy(LLMChain):
         self,
         problem_description: str,
         thoughts_path: Tuple[str, ...] = (),
-        **kwargs: Any
+        **kwargs: Any,
     ) -> str:
         """
         Generate the next thought given the problem description and the thoughts
@@ -52,7 +52,7 @@ class SampleCoTStrategy(BaseThoughtGenerationStrategy):
         self,
         problem_description: str,
         thoughts_path: Tuple[str, ...] = (),
-        **kwargs: Any
+        **kwargs: Any,
     ) -> str:
         response_text = self.predict_and_parse(
             problem_description=problem_description, thoughts=thoughts_path, **kwargs
@@ -76,14 +76,14 @@ class ProposePromptStrategy(BaseThoughtGenerationStrategy):
         self,
         problem_description: str,
         thoughts_path: Tuple[str, ...] = (),
-        **kwargs: Any
+        **kwargs: Any,
     ) -> str:
         if thoughts_path not in self.tot_memory or not self.tot_memory[thoughts_path]:
             new_thoughts = self.predict_and_parse(
                 problem_description=problem_description,
                 thoughts=thoughts_path,
                 n=self.c,
-                **kwargs
+                **kwargs,
             )
             if not new_thoughts:
                 return ""