Admit that **kwargs mapping subtypes may have no direct type parameters

[sterliakov]

Fixes#13675. I don't know why this check was ever needed (since #11151), but it doesn't seem correct.

[hauntsaninja]

Thanks! Not sure what this was about (although maybe primer will tell us)

[github-actions]

Diff from mypy_primer, showing the effect of this PR on open source code:

hydra-zen (https://github.com/mit-ll-responsible-ai/hydra-zen)
+ src/hydra_zen/structured_configs/_implementations.py:2950: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "str" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:2950: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "tuple[type, ...]" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:2950: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "dict[str, Any] | None" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:2950: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "bool" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:2950: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "str | None" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:3310: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "str" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:3310: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "tuple[type, ...]" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:3310: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "dict[str, Any] | None" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:3310: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "bool" [arg-type]+ src/hydra_zen/structured_configs/_implementations.py:3310: error: Argument 2 to "make_dataclass" has incompatible type "**StrictDataclassOptions"; expected "str | None" [arg-type]

[sterliakov]

Okay, I'm lost in that 1000+ LOC method, looks quite scary, but fortunately it isn't relevant. The actual bug is here, attempt to overwrite a key with itself but Required:

https://github.com/mit-ll-responsible-ai/hydra-zen/blob/0ae045b3ae68b3227a3462815014099920e3ed53/src/hydra_zen/typing/_implementations.py#L432

(trivial to fix and worth fixing anyway, last wrapper dict should just go away, and version condition can define StrictDataclassOptions immediately; mypy struggles to track that StrictDataclassOptions is still a TypedDict, type ignore is for Required[] can be only used in a TypedDict definition error)

The error on our end is cryptic as always with ** unpacking, but it in't a problem to solve in this PR.

Min-ish repro:

importsysfromdataclassesimportField, make_dataclassfromtypingimportAny, ClassVar, Protocol, Required, TypedDictclassDataClass_(Protocol):
__dataclass_fields__: ClassVar[dict[str, Field[Any]]]
class_BaseOptions(TypedDict, total=False):
cls_name: strnamespace: dict[str, Any] |Nonebases: tuple[type[DataClass_], ...]
init: boolrepr: booleq: boolorder: boolunsafe_hash: boolfrozen: boolclassPy310Options(_BaseOptions):
match_args: boolkw_only: boolslots: boolifsys.version_info< (3, 10):
BaseOptions=_BaseOptionselse:
BaseOptions=Py310OptionsclassStrictOptions(BaseOptions):
cls_name: Required[str] # type: ignoredefchk(o: StrictOptions) ->None:
make_dataclass(fields=[], **o)