Python client type hint error with column-oriented upsert

I'm trying to do an upsert without hard-coded data and I get some type hint errors. Everything works fine so I'm assuming its just a typing issue.

The error on ids is:

Pyright: Argument of type "list[int]" cannot be assigned to parameter "ids" of type "List[ExtendedPointId]" in function "__init__"
  "list[int]" is not assignable to "List[ExtendedPointId]"
    Type parameter "_T@list" is invariant, but "int" is not the same as "ExtendedPointId"
    Consider switching from "list" to "Sequence" which is covariant

I can fix this one by typing the ids declaration as ids: list[ExtendedPointId]. This may be just a pyright issue since ExtendedPointId is defined as int | str.

The error on vectors is:

Pyright: Argument of type "Iterable[ndarray[Unknown, Unknown]]" cannot be assigned to parameter "vectors" of type "BatchVectorStruct" in function "__init__"
  Type "Iterable[ndarray[Unknown, Unknown]]" is not assignable to type "BatchVectorStruct"
    "Iterable[ndarray[Unknown, Unknown]]" is not assignable to "List[List[StrictFloat]]"
    "Iterable[ndarray[Unknown, Unknown]]" is not assignable to "List[List[List[StrictFloat]]]"
    "Iterable[ndarray[Unknown, Unknown]]" is not assignable to "Dict[StrictStr, List[Vector]]"

Can't seem to get around this one without a cast. Like I said, everything works but the type errors hamper the DX.

Start at the Python client's column-oriented upsert entry point and inspect the type definitions for ids and vectors used by its constructor. Reproduce the Pyright diagnostics with list[int] and an iterable of ndarrays; done means valid caller inputs type-check without casts while preserving the working upsert behavior.