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various

Classes:

ClampScaler

ClampScaler(
    base_scaler: ScalerLike,
    reference: ScalerLike | VideoNode,
    strength: int = 80,
    overshoot: float | None = None,
    undershoot: float | None = None,
    limit: Mode | bool = True,
    operator: Literal[MAX, MIN] | None = MIN,
    masked: bool = True,
    *,
    kernel: KernelLike = Catrom,
    scaler: ScalerLike | None = None,
    shifter: KernelLike | None = None,
    **kwargs: Any
)

Bases: GenericScaler

Clamp a reference Scaler.

Parameters:

  • base_scaler

    (ScalerLike) –

    Scaler to clamp.

  • reference

    (ScalerLike | VideoNode) –

    Reference Scaler used to clamp base_scaler

  • strength

    (int, default: 80 ) –

    Strength of clamping. Default to 80. Must be between 0 and 100 (exclusive)

  • overshoot

    (float | None, default: None ) –

    Overshoot threshold within the 0.0 - 1.0 range.

  • undershoot

    (float | None, default: None ) –

    Undershoot threshold within the 0.0 - 1.0 range.

  • limit

    (Mode | bool, default: True ) –

    Whether to use under/overshoot limit (True) or a reference repaired clip for limiting.

  • operator

    (Literal[MAX, MIN] | None, default: MIN ) –

    Whether to take the brightest or darkest pixels in the merge. Defaults to ExprOp.MIN.

  • masked

    (bool, default: True ) –

    Whether to mask with a ringing mask or not. Defaults to True

  • kernel

    (KernelLike, default: Catrom ) –

    Base kernel to be used for certain scaling/shifting/resampling operations. Defaults to Catrom.

  • scaler

    (ScalerLike | None, default: None ) –

    Scaler used for scaling operations. Defaults to kernel.

  • shifter

    (KernelLike | None, default: None ) –

    Kernel used for shifting operations. Defaults to kernel.

Methods:

  • ensure_obj

    Ensure that the input is a scaler instance, resolving it if necessary.

  • from_param

    Resolve and return a scaler type from a given input (string, type, or instance).

  • get_scale_args

    Generate the keyword arguments used for scaling.

  • implemented_funcs

    Returns a set of function names that are implemented in the current class and the parent classes.

  • kernel_radius
  • pretty_string

    Cached property returning a user-friendly string representation.

  • scale
  • supersample

    Supersample a clip by a given scaling factor.

Attributes:

Source code in vsscale/various.py
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def __init__(
    self,
    base_scaler: ScalerLike,
    reference: ScalerLike | vs.VideoNode,
    strength: int = 80,
    overshoot: float | None = None,
    undershoot: float | None = None,
    limit: Repair.Mode | bool = True,
    operator: Literal[ExprOp.MAX, ExprOp.MIN] | None = ExprOp.MIN,
    masked: bool = True,
    *,
    kernel: KernelLike = Catrom,
    scaler: ScalerLike | None = None,
    shifter: KernelLike | None = None,
    **kwargs: Any,
) -> None:
    """
    Args:
        base_scaler: Scaler to clamp.
        reference: Reference Scaler used to clamp base_scaler
        strength: Strength of clamping. Default to 80. Must be between 0 and 100 (exclusive)
        overshoot: Overshoot threshold within the 0.0 - 1.0 range.
        undershoot: Undershoot threshold within the 0.0 - 1.0 range.
        limit: Whether to use under/overshoot limit (True) or a reference repaired clip for limiting.
        operator: Whether to take the brightest or darkest pixels in the merge. Defaults to ExprOp.MIN.
        masked: Whether to mask with a ringing mask or not. Defaults to True
        kernel: Base kernel to be used for certain scaling/shifting/resampling operations. Defaults to Catrom.
        scaler: Scaler used for scaling operations. Defaults to kernel.
        shifter: Kernel used for shifting operations. Defaults to kernel.
    """
    self.base_scaler = Scaler.ensure_obj(base_scaler, self.__class__)

    self.reference: Scaler | vs.VideoNode

    if not isinstance(reference, vs.VideoNode):
        self.reference = Scaler.ensure_obj(reference, self.__class__)
    else:
        self.reference = reference

    if not 0 < strength < 100:
        raise CustomOverflowError("`strength` must be between 0 and 100 (exclusive)!", self.__class__)

    self.strength = strength

    if overshoot is None:
        self.overshoot = self.strength / 100
    else:
        self.overshoot = overshoot

    if undershoot is None:
        self.undershoot = self.overshoot
    else:
        self.undershoot = undershoot

    self.limit = limit
    self.operator = operator
    self.masked = masked

    super().__init__(None, kernel=kernel, scaler=scaler, shifter=shifter, **kwargs)

base_scaler instance-attribute

base_scaler = ensure_obj(base_scaler, __class__)

func instance-attribute

func = _func_no_op if func is None else func

kernel instance-attribute

kernel = ensure_obj(kernel, __class__)

kwargs instance-attribute

kwargs: dict[str, Any] = kwargs

Arguments passed to the implemented funcs or internal scale function.

limit instance-attribute

limit = limit

masked instance-attribute

masked = masked

operator instance-attribute

operator = operator

overshoot instance-attribute

overshoot = strength / 100

reference instance-attribute

reference: Scaler | VideoNode

scale_function instance-attribute

scale_function: Callable[..., VideoNode]

Scale function called internally when performing scaling operations.

scaler instance-attribute

scaler = ensure_obj(scaler or kernel, __class__)

shifter instance-attribute

shifter = ensure_obj(shifter or kernel, __class__)

strength instance-attribute

strength = strength

undershoot instance-attribute

undershoot = overshoot

ensure_obj classmethod

ensure_obj(
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExcept | None = None,
) -> Self

Ensure that the input is a scaler instance, resolving it if necessary.

Parameters:

  • scaler

    (str | type[Self] | Self | None, default: None ) –

    Scaler identifier (string, class, or instance).

  • func_except

    (FuncExcept | None, default: None ) –

    Function returned for custom error handling.

Returns:

  • Self

    Scaler instance.

Source code in vskernels/abstract/base.py
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@classmethod
def ensure_obj(
    cls,
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExcept | 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)

from_param classmethod

from_param(
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExcept | None = None,
) -> type[Self]

Resolve and return a scaler type from a given input (string, type, or instance).

Parameters:

  • scaler

    (str | type[Self] | Self | None, default: None ) –

    Scaler identifier (string, class, or instance).

  • func_except

    (FuncExcept | None, default: None ) –

    Function returned for custom error handling.

Returns:

  • type[Self]

    Resolved scaler type.

Source code in vskernels/abstract/base.py
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@classmethod
def from_param(
    cls,
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExcept | 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)

get_scale_args

get_scale_args(
    clip: 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.

Parameters:

  • clip

    (VideoNode) –

    The source clip.

  • shift

    (tuple[TopShift, LeftShift], default: (0, 0) ) –

    Subpixel shift (top, left).

  • width

    (int | None, default: None ) –

    Target width.

  • height

    (int | None, default: None ) –

    Target height.

  • **kwargs

    (Any, default: {} ) –

    Extra parameters to merge.

Returns:

  • dict[str, Any]

    Final dictionary of keyword arguments for the scale function.

Source code in vskernels/abstract/base.py
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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

implemented_funcs classmethod

implemented_funcs() -> frozenset[str]

Returns a set of function names that are implemented in the current class and the parent classes.

These functions determine which keyword arguments will be extracted from the init method.

Returns:

Source code in vskernels/abstract/base.py
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@classproperty
@classmethod
def implemented_funcs(cls) -> frozenset[str]:
    """
    Returns a set of function names that are implemented in the current class and the parent classes.

    These functions determine which keyword arguments will be extracted from the __init__ method.

    Returns:
        Frozen set of function names.
    """
    return frozenset(func for klass in cls.mro() for func in getattr(klass, "_implemented_funcs", ()))

kernel_radius

kernel_radius() -> int
Source code in vsscale/various.py
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@Scaler.cachedproperty
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

pretty_string

pretty_string() -> str

Cached property returning a user-friendly string representation.

Returns:

  • str

    Pretty-printed string with arguments.

Source code in vskernels/abstract/base.py
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@BaseScalerMeta.cachedproperty
def pretty_string(self) -> str:
    """
    Cached property returning a user-friendly string representation.

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

scale

scale(
    clip: VideoNode,
    width: int | None = None,
    height: int | None = None,
    shift: tuple[float, float] = (0, 0),
    **kwargs: Any
) -> ConstantFormatVideoNode
Source code in vsscale/various.py
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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

supersample

supersample(
    clip: VideoNodeT,
    rfactor: float = 2.0,
    shift: tuple[TopShift, LeftShift] = (0, 0),
    **kwargs: Any
) -> VideoNodeT

Supersample a clip by a given scaling factor.

Keyword arguments passed during initialization are automatically injected here, unless explicitly overridden by the arguments provided at call time. Only arguments that match named parameters in this method are injected.

Parameters:

  • clip

    (VideoNodeT) –

    The source clip.

  • rfactor

    (float, default: 2.0 ) –

    Scaling factor for supersampling.

  • shift

    (tuple[TopShift, LeftShift], default: (0, 0) ) –

    Subpixel shift (top, left) applied during scaling.

  • **kwargs

    (Any, default: {} ) –

    Additional arguments forwarded to the scale function.

Raises:

  • CustomValueError

    If resulting resolution is non-positive.

Returns:

Source code in vskernels/abstract/base.py
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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.

    Keyword arguments passed during initialization are automatically injected here,
    unless explicitly overridden by the arguments provided at call time.
    Only arguments that match named parameters in this method are injected.

    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]

ComplexSuperSamplerProcess

ComplexSuperSamplerProcess(
    *, function: VSFunctionNoArgs[VideoNode, VideoNode], **kwargs: Any
)

Bases: MixedScalerProcess[_ComplexScalerWithLanczosDefaultT, Point], ComplexScaler

A utility ComplexScaler class that applies a given function to a supersampled clip, then downsamples it back using Point.

If used without a specified scaler, it defaults to inheriting from Lanczos.

Example:

from vskernels import Lanczos

processed = ComplexSuperSamplerProcess[Lanczos](function=lambda clip: cool_function(clip, ...)).supersample(
    src, rfactor=2
)

Note

Depending on the source chroma location and subsampling, chroma planes may not align properly during processing. Avoid using this class if accurate chroma placement relative to luma is required.

Initialize the MixedScalerProcess.

Parameters:

  • function

    (VSFunctionNoArgs[VideoNode, VideoNode]) –

    A function to apply on the scaling pipeline.

  • **kwargs

    (Any, default: {} ) –

    Keyword arguments that configure the internal scaling behavior.

Methods:

  • ensure_obj

    Ensure that the input is a scaler instance, resolving it if necessary.

  • from_param

    Resolve and return a scaler type from a given input (string, type, or instance).

  • get_scale_args

    Generate the keyword arguments used for scaling.

  • implemented_funcs

    Returns a set of function names that are implemented in the current class and the parent classes.

  • kernel_radius

    Return the effective kernel radius for the scaler.

  • pretty_string

    Cached property returning a user-friendly string representation.

  • scale
  • supersample

    Supersample a clip by a given scaling factor.

Attributes:

Source code in vskernels/util.py
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def __init__(self, *, function: VSFunctionNoArgs[vs.VideoNode, vs.VideoNode], **kwargs: Any) -> None:
    """
    Initialize the MixedScalerProcess.

    Args:
        function: A function to apply on the scaling pipeline.
        **kwargs: Keyword arguments that configure the internal scaling behavior.
    """
    super().__init__(**kwargs)

    self.function = function

function instance-attribute

function = function

kwargs instance-attribute

kwargs = kwargs

scale_function instance-attribute

scale_function: Callable[..., VideoNode]

Scale function called internally when performing scaling operations.

ensure_obj classmethod

ensure_obj(
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExcept | None = None,
) -> Self

Ensure that the input is a scaler instance, resolving it if necessary.

Parameters:

  • scaler

    (str | type[Self] | Self | None, default: None ) –

    Scaler identifier (string, class, or instance).

  • func_except

    (FuncExcept | None, default: None ) –

    Function returned for custom error handling.

Returns:

  • Self

    Scaler instance.

Source code in vskernels/abstract/base.py
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@classmethod
def ensure_obj(
    cls,
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExcept | 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)

from_param classmethod

from_param(
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExcept | None = None,
) -> type[Self]

Resolve and return a scaler type from a given input (string, type, or instance).

Parameters:

  • scaler

    (str | type[Self] | Self | None, default: None ) –

    Scaler identifier (string, class, or instance).

  • func_except

    (FuncExcept | None, default: None ) –

    Function returned for custom error handling.

Returns:

  • type[Self]

    Resolved scaler type.

Source code in vskernels/abstract/base.py
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@classmethod
def from_param(
    cls,
    scaler: str | type[Self] | Self | None = None,
    /,
    func_except: FuncExcept | 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)

get_scale_args

get_scale_args(
    clip: 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.

Parameters:

  • clip

    (VideoNode) –

    The source clip.

  • shift

    (tuple[TopShift, LeftShift], default: (0, 0) ) –

    Subpixel shift (top, left).

  • width

    (int | None, default: None ) –

    Target width.

  • height

    (int | None, default: None ) –

    Target height.

  • **kwargs

    (Any, default: {} ) –

    Extra parameters to merge.

Returns:

  • dict[str, Any]

    Final dictionary of keyword arguments for the scale function.

Source code in vskernels/abstract/base.py
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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

implemented_funcs classmethod

implemented_funcs() -> frozenset[str]

Returns a set of function names that are implemented in the current class and the parent classes.

These functions determine which keyword arguments will be extracted from the init method.

Returns:

Source code in vskernels/abstract/base.py
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@classproperty
@classmethod
def implemented_funcs(cls) -> frozenset[str]:
    """
    Returns a set of function names that are implemented in the current class and the parent classes.

    These functions determine which keyword arguments will be extracted from the __init__ method.

    Returns:
        Frozen set of function names.
    """
    return frozenset(func for klass in cls.mro() for func in getattr(klass, "_implemented_funcs", ()))

kernel_radius

kernel_radius() -> int

Return the effective kernel radius for the scaler.

Raises:

  • CustomNotImplementedError

    If no kernel radius is defined.

Returns:

  • int

    Kernel radius.

Source code in vskernels/abstract/base.py
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@BaseScalerMeta.cachedproperty
def kernel_radius(self) -> int:
    """
    Return the effective kernel radius for the scaler.

    Raises:
        CustomNotImplementedError: If no kernel radius is defined.

    Returns:
        Kernel radius.
    """
    ...

pretty_string

pretty_string() -> str

Cached property returning a user-friendly string representation.

Returns:

  • str

    Pretty-printed string with arguments.

Source code in vskernels/abstract/base.py
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@BaseScalerMeta.cachedproperty
def pretty_string(self) -> str:
    """
    Cached property returning a user-friendly string representation.

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

scale

scale(
    clip: VideoNode,
    width: int | None = None,
    height: int | None = None,
    shift: tuple[TopShift | list[TopShift], LeftShift | list[LeftShift]] = (
        0,
        0,
    ),
    **kwargs: Any
) -> VideoNode | ConstantFormatVideoNode
Source code in vsscale/various.py
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def scale(
    self,
    clip: vs.VideoNode,
    width: int | None = None,
    height: int | None = None,
    shift: tuple[TopShift | list[TopShift], LeftShift | list[LeftShift]] = (0, 0),
    **kwargs: Any,
) -> vs.VideoNode | ConstantFormatVideoNode:
    assert check_variable(clip, self.scale)

    width, height = self._wh_norm(clip, width, height)
    rfactor_w, rfactor_h = (width / clip.width), (height / clip.height)

    if any(not rf.is_integer() for rf in (rfactor_w, rfactor_h)):
        raise CustomValueError(
            "The supersampling factor must yield an integer result.", self.__class__, (rfactor_w, rfactor_h)
        )

    shift_top, shift_left = shift

    point = self._others[0]

    if isinstance(shift_top, (int, float)) and isinstance(shift_left, (int, float)):
        upscaled = super().scale(
            ChromaLocation.TOP_LEFT.apply(clip),
            width,
            height,
            (shift_top + 0.5 - 0.5 / rfactor_h, shift_left + 0.5 - 0.5 / rfactor_w),
            **kwargs,
        )

        processed = self.function(upscaled)

        downscaled = point.scale(processed, clip.width, clip.height, (0.5 - 0.5 * rfactor_h, 0.5 - 0.5 * rfactor_w))
    else:
        shift_top = normalize_seq(shift_top, clip.format.num_planes)
        shift_left = normalize_seq(shift_left, clip.format.num_planes)

        upscaled = super().scale(
            ChromaLocation.CENTER.apply(clip),
            width,
            height,
            ([x + 0.5 - 0.5 / rfactor_h for x in shift_top], [x + 0.5 - 0.5 / rfactor_w for x in shift_left]),
            **kwargs,
        )

        processed = self.function(upscaled)

        downscaled = point.scale(
            processed, clip.width, clip.height, ([0.5 - 0.5 * rfactor_h] * 3, [0.5 - 0.5 * rfactor_w] * 3)
        )

    return ChromaLocation.from_video(clip).apply(downscaled)

supersample

supersample(
    clip: VideoNodeT,
    rfactor: float = 2.0,
    shift: tuple[TopShift, LeftShift] = (0, 0),
    **kwargs: Any
) -> VideoNodeT

Supersample a clip by a given scaling factor.

Keyword arguments passed during initialization are automatically injected here, unless explicitly overridden by the arguments provided at call time. Only arguments that match named parameters in this method are injected.

Parameters:

  • clip

    (VideoNodeT) –

    The source clip.

  • rfactor

    (float, default: 2.0 ) –

    Scaling factor for supersampling.

  • shift

    (tuple[TopShift, LeftShift], default: (0, 0) ) –

    Subpixel shift (top, left) applied during scaling.

  • **kwargs

    (Any, default: {} ) –

    Additional arguments forwarded to the scale function.

Raises:

  • CustomValueError

    If resulting resolution is non-positive.

Returns:

Source code in vskernels/abstract/base.py
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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.

    Keyword arguments passed during initialization are automatically injected here,
    unless explicitly overridden by the arguments provided at call time.
    Only arguments that match named parameters in this method are injected.

    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]