use paramspec on args, kwargs

Author: Dr-Irv

pandas-stubs/core/groupby/generic.pyi

@@ -209,14 +209,18 @@ class SeriesGroupBy(GroupBy[Series[S2]], Generic[S2, ByT]):
 
 _TT = TypeVar("_TT", bound=Literal[True, False])
 
-class DFCallable1(Protocol):
-    def __call__(self, df: DataFrame, /, *args, **kwargs) -> Scalar | list | dict: ...
+class DFCallable1(Protocol[P]):  # ty: ignore[invalid-argument-type]
+    def __call__(
+        self, df: DataFrame, /, *args: P.args, **kwargs: P.kwargs
+    ) -> Scalar | list | dict: ...
 
-class DFCallable2(Protocol):
-    def __call__(self, df: DataFrame, /, *args, **kwargs) -> DataFrame | Series: ...
+class DFCallable2(Protocol[P]):  # ty: ignore[invalid-argument-type]
+    def __call__(
+        self, df: DataFrame, /, *args: P.args, **kwargs: P.kwargs
+    ) -> DataFrame | Series: ...
 
-class DFCallable3(Protocol):
-    def __call__(self, df: Iterable, /, *args, **kwargs) -> float: ...
+class DFCallable3(Protocol[P]):  # ty: ignore[invalid-argument-type]
+    def __call__(self, df: Iterable, /, *args: P.args, **kwargs: P.kwargs) -> float: ...
 
 class DataFrameGroupBy(GroupBy[DataFrame], Generic[ByT, _TT]):
     # error: Overload 3 for "apply" will never be used because its parameters overlap overload 1