Repository: numpy/numpy
File: numpy/polynomial/_polybase.pyi (Python)

Code before:
        domain: _SeriesLikeCoef_co | None = None,
    ) -> _Tuple2[_Series[np.float64 | np.complex128]]: ...

    @overload
    @classmethod
    def fit(
        cls,
        x: _SeriesLikeCoef_co,
        y: _SeriesLikeCoef_co,
        deg: int | _SeriesLikeInt_co,
        domain: _SeriesLikeCoef_co | None = None,
        rcond: _FloatLike_co = None,
        full: Literal[False] = False,
        w: _SeriesLikeCoef_co | None = None,
        window: _SeriesLikeCoef_co | None = None,
        symbol: str = "x",
    ) -> Self: ...
    @overload
    @classmethod
    def fit(
        cls,
        x: _SeriesLikeCoef_co,
        y: _SeriesLikeCoef_co,
        deg: int | _SeriesLikeInt_co,
        domain: _SeriesLikeCoef_co | None = None,
        rcond: _FloatLike_co = None,
        *,
        full: Literal[True],
        w: _SeriesLikeCoef_co | None = None,
        window: _SeriesLikeCoef_co | None = None,
        symbol: str = "x",
    ) -> tuple[Self, Sequence[np.inexact | np.int32]]: ...
    @overload
    @classmethod
    def fit(
        cls,
        x: _SeriesLikeCoef_co,
        y: _SeriesLikeCoef_co,
        deg: int | _SeriesLikeInt_co,
        domain: _SeriesLikeCoef_co | None,
        rcond: _FloatLike_co,
        full: Literal[True], /,
        w: _SeriesLikeCoef_co | None = None,
        window: _SeriesLikeCoef_co | None = None,
        symbol: str = "x",
    ) -> tuple[Self, Sequence[np.inexact | np.int32]]: ...

    @classmethod
    def fromroots(
        cls,
        roots: _ArrayLikeCoef_co,

Review comment (suggestion):
```suggestion
        rcond: _FloatLike_co | None = None,
```

Code after:
        domain: _SeriesLikeCoef_co | None = None,
    ) -> _Tuple2[_Series[np.float64 | np.complex128]]: ...

    @overload
    @classmethod
    def fit(
        cls,
        x: _SeriesLikeCoef_co,
        y: _SeriesLikeCoef_co,
        deg: int | _SeriesLikeInt_co,
        domain: _SeriesLikeCoef_co | None = None,
        rcond: _FloatLike_co | None = None,
        full: Literal[False] = False,
        w: _SeriesLikeCoef_co | None = None,
        window: _SeriesLikeCoef_co | None = None,
        symbol: str = "x",
    ) -> Self: ...
    @overload
    @classmethod
    def fit(
        cls,
        x: _SeriesLikeCoef_co,
        y: _SeriesLikeCoef_co,
        deg: int | _SeriesLikeInt_co,
        domain: _SeriesLikeCoef_co | None = None,
        rcond: _FloatLike_co | None = None,
        *,
        full: Literal[True],
        w: _SeriesLikeCoef_co | None = None,
        window: _SeriesLikeCoef_co | None = None,
        symbol: str = "x",
    ) -> tuple[Self, Sequence[np.inexact | np.int32]]: ...
    @overload
    @classmethod
    def fit(
        cls,
        x: _SeriesLikeCoef_co,
        y: _SeriesLikeCoef_co,
        deg: int | _SeriesLikeInt_co,
        domain: _SeriesLikeCoef_co | None,
        rcond: _FloatLike_co,
        full: Literal[True], /,
        w: _SeriesLikeCoef_co | None = None,
        window: _SeriesLikeCoef_co | None = None,
        symbol: str = "x",
    ) -> tuple[Self, Sequence[np.inexact | np.int32]]: ...

    @classmethod
    def fromroots(
        cls,
        roots: _ArrayLikeCoef_co,