Lock file maintenance

packages/lfrqa/tests/test_lfrqa_env.py

@@ -21,7 +21,7 @@ def test_availability() -> None:
 @pytest.fixture(name="mini_lfrqa", scope="module")
 def fixture_mini_lfrqa() -> list[LFRQAQuestion]:
     return [
-        LFRQAQuestion(**row)  # type: ignore[misc]
+        LFRQAQuestion(**row)  # type: ignore[arg-type]
         for row in pd.read_csv(MINI_LFRQA_CSV)[
             ["qid", "question", "answer", "gold_doc_ids"]
         ].to_dict(orient="records")

src/aviary/tools/base.py

@@ -401,7 +401,7 @@ def from_function(
         """Hydrate this class via inspection from a free function with a docstring."""
         fxn_name = function.__name__
         # now we parse descriptions from the docstring
-        docstring = parse(function.__doc__, style=docstring_style)  # type: ignore[arg-type]  # SEE: https://github.com/rr-/docstring_parser/issues/88
+        docstring = parse(function.__doc__, style=docstring_style)
         if not docstring.description:
             raise ValueError(f"Missing docstring for function {fxn_name}.")
         # now we parse descriptions from the docstring
@@ -447,9 +447,8 @@ def from_function(
                 Field(**field_config),
             )
 
-        json_schema = create_model(  # type: ignore[call-overload]
-            "FieldDefinitions", **field_definitions
-        ).model_json_schema()
+        model_cls = create_model("FieldDefinitions", **field_definitions)  # type: ignore[call-overload]
+        json_schema = model_cls.model_json_schema()
         json_schema.pop("title")  # Remove the throwaway model name
         if "required" not in json_schema:
             # The API schema doesn't require this, and gpt-3.5-turbo doesn't