infra: rm unused # noqa violations (#22049)

Updating #21137

libs/langchain/langchain/agents/agent_toolkits/conversational_retrieval/openai_functions.py

@@ -1,4 +1,4 @@
-from typing import Any, List, Optional  # noqa: E501
+from typing import Any, List, Optional
 
 from langchain_core.language_models import BaseLanguageModel
 from langchain_core.memory import BaseMemory

libs/langchain/langchain/callbacks/tracers/logging.py

@@ -33,8 +33,8 @@ class LoggingCallbackHandler(FunctionCallbackHandler):
         text: str,
         *,
         run_id: UUID,
-        parent_run_id: Optional[UUID] = None,  # noqa: ARG002
-        **kwargs: Any,  # noqa: ARG002
+        parent_run_id: Optional[UUID] = None,
+        **kwargs: Any,
     ) -> None:
         try:
             crumbs_str = f"[{self.get_breadcrumbs(run=self._get_run(run_id=run_id))}] "

libs/langchain/langchain/chains/openai_functions/openapi.py

@@ -76,7 +76,7 @@ def _openapi_params_to_json_schema(params: List[Parameter], spec: OpenAPISpec) -
         if p.param_schema:
             schema = spec.get_schema(p.param_schema)
         else:
-            media_type_schema = list(p.content.values())[0].media_type_schema  # type: ignore  # noqa: E501
+            media_type_schema = list(p.content.values())[0].media_type_schema  # type: ignore
             schema = spec.get_schema(media_type_schema)
         if p.description and not schema.description:
             schema.description = p.description
@@ -237,7 +237,7 @@ class SimpleRequestChain(Chain):
         else:
             try:
                 response = api_response.json()
-            except Exception:  # noqa: E722
+            except Exception:
                 response = api_response.text
         return {self.output_key: response}
 
@@ -280,7 +280,7 @@ def get_openapi_chain(
                 break
             except ImportError as e:
                 raise e
-            except Exception:  # noqa: E722
+            except Exception:
                 pass
         if isinstance(spec, str):
             raise ValueError(f"Unable to parse spec from source {spec}")

libs/langchain/langchain/evaluation/agents/trajectory_eval_chain.py

@@ -141,7 +141,7 @@ class TrajectoryEvalChain(AgentTrajectoryEvaluator, LLMEvalChain):
         )
         print(result["score"])  # noqa: T201
         # 0
-    """  # noqa: E501
+    """
 
     agent_tools: Optional[List[BaseTool]] = None
     """A list of tools available to the agent."""

libs/langchain/langchain/evaluation/criteria/eval_chain.py

@@ -142,7 +142,7 @@ def resolve_criteria(
     >>> criterion = "relevance"
     >>> CriteriaEvalChain.resolve_criteria(criteria)
     {'relevance': 'Is the submission referring to a real quote from the text?'}
-    """  # noqa: E501
+    """
     if criteria is None:
         return {
             "helpfulness": _SUPPORTED_CRITERIA[Criteria.HELPFULNESS],
@@ -307,7 +307,7 @@ class CriteriaEvalChain(StringEvaluator, LLMEvalChain, LLMChain):
         >>> criterion = "relevance"
         >>> CriteriaEvalChain.resolve_criteria(criteria)
         {'relevance': 'Is the submission referring to a real quote from the text?'}
-        """  # noqa: E501
+        """
         return resolve_criteria(criteria)
 
     @classmethod

libs/langchain/langchain/evaluation/loading.py

@@ -56,7 +56,7 @@ def load_dataset(uri: str) -> List[Dict]:
 
         from langchain.evaluation import load_dataset
         ds = load_dataset("llm-math")
-    """  # noqa: E501
+    """
     try:
         from datasets import load_dataset
     except ImportError:

libs/langchain/langchain/evaluation/scoring/eval_chain.py

@@ -439,7 +439,7 @@ class LabeledScoreStringEvalChain(ScoreStringEvalChain):
         Raises:
             ValueError: If the input variables are not as expected.
 
-        """  # noqa: E501
+        """
         expected_input_vars = {
             "prediction",
             "input",

libs/langchain/langchain/smith/evaluation/config.py

@@ -133,7 +133,7 @@ class RunEvalConfig(BaseModel):
     as `EvaluatorType.QA`, the evaluator type string ("qa"), or a configuration for a
     given evaluator
     (e.g., 
-    :class:`RunEvalConfig.QA <langchain.smith.evaluation.config.RunEvalConfig.QA>`)."""  # noqa: E501
+    :class:`RunEvalConfig.QA <langchain.smith.evaluation.config.RunEvalConfig.QA>`)."""
     custom_evaluators: Optional[List[CUSTOM_EVALUATOR_TYPE]] = None
     """Custom evaluators to apply to the dataset run."""
     batch_evaluators: Optional[List[BATCH_EVALUATOR_LIKE]] = None

libs/langchain/langchain/smith/evaluation/runner_utils.py

@@ -225,7 +225,7 @@ def _wrap_in_chain_factory(
             return lambda: RunnableLambda(constructor)
         else:
             # Typical correct case
-            return constructor  # noqa
+            return constructor
     return llm_or_chain_factory