[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

apischema/dependencies.py

@@ -65,7 +65,6 @@ def dependent_required(*groups: Collection[Any], owner: Optional[type] = None):
     if owner is None:
         return DependentRequiredDescriptor(fields, groups)
     else:
-
         dep_req = _dependent_requireds[owner]
         for field, required in fields.items():
             dep_req.append((field, required))

apischema/objects/conversions.py

@@ -144,7 +144,6 @@ def object_serialization(
     fields_and_methods: Union[Iterable[Any], Callable[[], Iterable[Any]]],
     *output_class_modifiers: Callable[[type], Any],
 ) -> Callable[[T], Any]:
-
     generic, bases = cls, ()
     if getattr(cls, "__parameters__", ()):
         generic = cls[cls.__parameters__]  # type: ignore

apischema/objects/visitor.py

@@ -62,7 +62,6 @@ def _default_fields(cls: type) -> Optional[Sequence[ObjectField]]:
     def _override_fields(
         self, tp: AnyType, fields: Sequence[ObjectField]
     ) -> Sequence[ObjectField]:
-
         origin = get_origin_or_type(tp)
         if isinstance(origin, type):
             default_fields = self._default_fields(origin)

examples/examples/inherited_deserializer.py

@@ -7,6 +7,7 @@
 
 Foo_ = TypeVar("Foo_", bound="Foo")
 
+
 # Use a dataclass in order to be easily testable with ==
 @dataclass
 class Foo:
@@ -47,6 +48,8 @@ class ForeignSubtype(ForeignType):
 
 
 T = TypeVar("T")
+
+
 # Recursive implementation of type.__subclasses__
 def rec_subclasses(cls: type[T]) -> Iterator[type[T]]:
     for sub_cls in cls.__subclasses__():

examples/examples/pydantic_support.py

@@ -55,6 +55,7 @@ def default_schema(tp: Any) -> Schema | None:
 
 settings.base_schema.type = default_schema
 
+
 # No need to use settings.serialization because serializer is inherited
 @serializer
 def serialize_pydantic(obj: pydantic.BaseModel) -> Any:

examples/generic_type_name.py

@@ -7,6 +7,7 @@
 
 T = TypeVar("T")
 
+
 # Type name factory takes the type and its arguments as (positional) parameters
 @type_name(lambda tp, arg: f"{arg.__name__}Resource")
 @dataclass