various ¶

@classmethod
def ensure_obj(
    cls,
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExceptT | None = None,
) -> Self:
    """
    Ensure that the input is a scaler instance, resolving it if necessary.

    Args:
        scaler: Scaler identifier (string, class, or instance).
        func_except: Function returned for custom error handling.

    Returns:
        Scaler instance.
    """
    return _base_ensure_obj(cls, scaler, func_except)

@classmethod
def from_param(
    cls,
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExceptT | None = None,
) -> type[Self]:
    """
    Resolve and return a scaler type from a given input (string, type, or instance).

    Args:
        scaler: Scaler identifier (string, class, or instance).
        func_except: Function returned for custom error handling.

    Returns:
        Resolved scaler type.
    """
    return _base_from_param(cls, scaler, cls._err_class, func_except)

def get_scale_args(
    self,
    clip: vs.VideoNode,
    shift: tuple[TopShift, LeftShift] = (0, 0),
    width: int | None = None,
    height: int | None = None,
    **kwargs: Any,
) -> dict[str, Any]:
    """
    Generate the keyword arguments used for scaling.

    Args:
        clip: The source clip.
        shift: Subpixel shift (top, left).
        width: Target width.
        height: Target height.
        **kwargs: Extra parameters to merge.

    Returns:
        Final dictionary of keyword arguments for the scale function.
    """
    return {"width": width, "height": height, "src_top": shift[0], "src_left": shift[1]} | self.kwargs | kwargs

@Scaler.cached_property
def kernel_radius(self) -> int:
    if not isinstance(self.reference, vs.VideoNode):
        return max(self.reference.kernel_radius, self.base_scaler.kernel_radius)
    return self.base_scaler.kernel_radius

@deprecated('The "multi" method is deprecated. Use "supersample" instead.', category=DeprecationWarning)
def multi(
    self, clip: VideoNodeT, multi: float = 2.0, shift: tuple[TopShift, LeftShift] = (0, 0), **kwargs: Any
) -> VideoNodeT:
    """
    Deprecated alias for `supersample`.

    Args:
        clip: The source clip.
        multi: Supersampling factor.
        shift: Subpixel shift (top, left) applied during scaling.
        **kwargs: Additional arguments forwarded to the scale function.

    Returns:
        The supersampled clip.
    """
    return self.supersample(clip, multi, shift, **kwargs)

@BaseScalerMeta.cached_property
def pretty_string(self) -> str:
    """
    Cached property returning a user-friendly string representation.

    Returns:
        Pretty-printed string with arguments.
    """
    return self._pretty_string()

def scale(
    self,
    clip: vs.VideoNode,
    width: int | None = None,
    height: int | None = None,
    shift: tuple[float, float] = (0, 0),
    **kwargs: Any,
) -> ConstantFormatVideoNode:
    width, height = self._wh_norm(clip, width, height)

    base = self.base_scaler.scale(clip, width, height, shift, **kwargs)

    if isinstance(self.reference, vs.VideoNode):
        smooth = self.reference

        if shift != (0, 0):
            smooth = self.kernel.shift(smooth, shift)
    else:
        smooth = self.reference.scale(clip, width, height, shift)

    check_ref_clip(base, smooth)

    if TYPE_CHECKING:
        from vstools import check_variable_format

        assert check_variable_format(base, self.__class__)
        assert check_variable_format(smooth, self.__class__)

    merge_weight = self.strength / 100

    if self.limit is True:
        expression = "x {merge_weight} * y {ref_weight} * + a {undershoot} - z {overshoot} + clip"

        merged = norm_expr(
            [base, smooth, smooth.std.Maximum(), smooth.std.Minimum()],
            expression,
            merge_weight=merge_weight,
            ref_weight=1.0 - merge_weight,
            undershoot=scale_delta(self.undershoot, 32, clip),
            overshoot=scale_delta(self.overshoot, 32, clip),
            func=self.__class__,
        )
    else:
        merged = smooth.std.Merge(base, merge_weight)

        if isinstance(self.limit, Repair.Mode):
            merged = self.limit(merged, smooth)

    if self.operator is not None:
        merge2 = combine([smooth, base], self.operator)

        merged = merged.std.MaskedMerge(merge2, ringing_mask(smooth)) if self.masked else merge2
    elif self.masked:
        merged = merged.std.MaskedMerge(smooth, ringing_mask(smooth))

    return merged

def supersample(
    self, clip: VideoNodeT, rfactor: float = 2.0, shift: tuple[TopShift, LeftShift] = (0, 0), **kwargs: Any
) -> VideoNodeT:
    """
    Supersample a clip by a given scaling factor.

    Args:
        clip: The source clip.
        rfactor: Scaling factor for supersampling.
        shift: Subpixel shift (top, left) applied during scaling.
        **kwargs: Additional arguments forwarded to the scale function.

    Raises:
        CustomValueError: If resulting resolution is non-positive.

    Returns:
        The supersampled clip.
    """
    assert check_variable_resolution(clip, self.supersample)

    dst_width, dst_height = ceil(clip.width * rfactor), ceil(clip.height * rfactor)

    if max(dst_width, dst_height) <= 0.0:
        raise CustomValueError(
            'Multiplying the resolution by "rfactor" must result in a positive resolution!',
            self.supersample,
            rfactor,
        )

    return self.scale(clip, dst_width, dst_height, shift, **kwargs)  # type: ignore[return-value]