infra: rm unused # noqa violations (#22049)

Updating #21137

libs/community/langchain_community/document_loaders/__init__.py

@@ -214,7 +214,7 @@ if TYPE_CHECKING:
         GitHubIssuesLoader,
     )
     from langchain_community.document_loaders.glue_catalog import (
-        GlueCatalogLoader,  # noqa: F401
+        GlueCatalogLoader,
     )
     from langchain_community.document_loaders.google_speech_to_text import (
         GoogleSpeechToTextLoader,
@@ -332,8 +332,8 @@ if TYPE_CHECKING:
         OracleAutonomousDatabaseLoader,
     )
     from langchain_community.document_loaders.oracleai import (
-        OracleDocLoader,  # noqa: F401
-        OracleTextSplitter,  # noqa: F401
+        OracleDocLoader,
+        OracleTextSplitter,
     )
     from langchain_community.document_loaders.org_mode import (
         UnstructuredOrgModeLoader,

libs/community/langchain_community/document_loaders/blackboard.py

@@ -31,7 +31,7 @@ class BlackboardLoader(WebBaseLoader):
             )
             documents = loader.load()
 
-    """  # noqa: E501
+    """
 
     def __init__(
         self,

libs/community/langchain_community/document_loaders/evernote.py

@@ -34,7 +34,7 @@ class EverNoteLoader(BaseLoader):
             notes into a single long Document.
         If this is set to True (default) then the only metadata on the document will be
             the 'source' which contains the file name of the export.
-    """  # noqa: E501
+    """
 
     def __init__(self, file_path: Union[str, Path], load_single_document: bool = True):
         """Initialize with file path."""

libs/community/langchain_community/document_loaders/pebblo.py

@@ -208,9 +208,9 @@ class PebbloSafeLoader(BaseLoader):
         if loading_end is True:
             payload["loading_end"] = "true"
             if "loader_details" in payload:
-                payload["loader_details"]["source_aggregate_size"] = (  # noqa
-                    self.source_aggregate_size
-                )
+                payload["loader_details"][
+                    "source_aggregate_size"
+                ] = self.source_aggregate_size
         payload = Doc(**payload).dict(exclude_unset=True)
         load_doc_url = f"{self.classifier_url}{LOADER_DOC_URL}"
         classified_docs = []