How to use the typedload.typechecks.is_attrs function in typedload

def test_condition(self):
        assert typechecks.is_attrs(Person)
        assert typechecks.is_attrs(Students)
        assert typechecks.is_attrs(Mangle)
        assert typechecks.is_attrs(DetailedPerson)
        assert not typechecks.is_attrs(int)
        assert not typechecks.is_attrs(List[int])
        assert not typechecks.is_attrs(Union[str, int])
        assert not typechecks.is_attrs(Tuple[str, int])

def test_condition(self):
        assert typechecks.is_attrs(Person)
        assert typechecks.is_attrs(Students)
        assert typechecks.is_attrs(Mangle)
        assert typechecks.is_attrs(DetailedPerson)
        assert not typechecks.is_attrs(int)
        assert not typechecks.is_attrs(List[int])
        assert not typechecks.is_attrs(Union[str, int])
        assert not typechecks.is_attrs(Tuple[str, int])

def test_condition(self):
        assert typechecks.is_attrs(Person)
        assert typechecks.is_attrs(Students)
        assert typechecks.is_attrs(Mangle)
        assert typechecks.is_attrs(DetailedPerson)
        assert not typechecks.is_attrs(int)
        assert not typechecks.is_attrs(List[int])
        assert not typechecks.is_attrs(Union[str, int])
        assert not typechecks.is_attrs(Tuple[str, int])

def test_condition(self):
        assert typechecks.is_attrs(Person)
        assert typechecks.is_attrs(Students)
        assert typechecks.is_attrs(Mangle)
        assert typechecks.is_attrs(DetailedPerson)
        assert not typechecks.is_attrs(int)
        assert not typechecks.is_attrs(List[int])
        assert not typechecks.is_attrs(Union[str, int])
        assert not typechecks.is_attrs(Tuple[str, int])

self.basictypes = {int, bool, float, str, NONETYPE}

        self.hidedefault = True

        # Raise errors if the condition fails
        self.raiseconditionerrors = True

        self.handlers = [
            (lambda value: type(value) in self.basictypes, lambda l, value: value),
            (lambda value: isinstance(value, tuple) and hasattr(value, '_fields') and hasattr(value, '_asdict'), _namedtupledump),
            (lambda value: '__dataclass_fields__' in dir(value), _dataclassdump),
            (lambda value: isinstance(value, (list, tuple, set, frozenset)), lambda l, value: [l.dump(i) for i in value]),
            (lambda value: isinstance(value, Enum), lambda l, value: l.dump(value.value)),
            (lambda value: isinstance(value, Dict), lambda l, value: {l.dump(k): l.dump(v) for k, v in value.items()}),
            (lambda value: isinstance(value, (datetime.date, datetime.time)), _datetimedump),
            (is_attrs, _attrdump),
        ]  # type: List[Tuple[Callable[[Any], bool],Callable[['Dumper', Any], Any]]]

        for k, v in kwargs.items():
            setattr(self, k, v)