Fix eval_call_with_types vararg annotations

[iliyasone]

eval_call_with_types accepts individual type objects as positional and keyword arguments, but its annotation described each *arg as a tuple and each **kwarg value as a dict. That made mypy reject valid calls such as eval_call_with_types(func, User) and encouraged tuple-wrapping that does not match the runtime binding contract.

Update the public signature to annotate each supplied type object directly and add a regression test that is checked by the mypy test harness for both positional and keyword type objects.

Validation:

uv run pytest
# test will fail if undo the change
uv run ruff check .
uv run ruff format --check .

Now something like this will not fail mypy check:

import typemap_extensions as typing
from typemap.type_eval import eval_call_with_types, format_helper


class FieldArgs(TypedDict, total=False):
    default: ReadOnly[object]
    alias: ReadOnly[str]


class Field[T: FieldArgs](typing.InitField[T]):
    pass


type ModelDump[T] = typing.NewTypedDict[
    *[typing.Member[field.name, field.type] for field in typing.Iter[typing.Attrs[T]]]
]

class BaseModel:
    def model_dump[T: BaseModel](self: T) -> ModelDump[T]:
        return cast(ModelDump[T], self.__dict__)

if __name__ == "__main__":
    model_dump_return = eval_call_with_types(BaseModel.model_dump, User)
    print(format_helper.format_class(model_dump_return))

[vercel]

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