Module fnpcell.geometry.bezier

Functions

new_bezier

def new_bezier(*, start: Tuple[float, float], controls: Iterable[Tuple[float, float]],
                end: Tuple[float, float], origin: Optional[Tuple[float, float]] = None,
                transform: Affine2D = Affine2D.identity()) -> Bezier

Create a bezier curve.

Classes

Bezier

class Bezier(controls: Tuple[Tuple[float, float], ...], transform: Affine2D)

Bezier(args: Any, *kwargs: Any)

Ancestors

FunctionCurve, TransformMixin, IUpdatable, CurveMixin, ICurve, ICurveLike, IAffineTransformable

Class variables

var controls: Tuple[Tuple[float, float], ...]
var transform: Affine2D

Static methods

def transform_from_at(at: Union[None, Tuple[float, float], IPositioned, IRay] = None,
                        transform: Affine2D = Affine2D.identity()) -> Affine2D

Inherited from: FunctionCurve.transform_from_at

Returns an Affine2D that is the result of the matrix product of the given transformation and the translation transformation at the given origin, the …

def transform_from_origin(origin: Optional[Tuple[float, float]] = None,
                            transform: Affine2D = Affine2D.identity()) -> Affine2D

Inherited from: FunctionCurve.transform_from_origin

Returns an Affine2D that is the result of the matrix product of the given transformation and the translation transformation at the given origin, It …

Instance variables

var raw_end_orientations

Methods

def c_mirrored(self: ~_Self, *, center: Tuple[float, float] = (0, 0)) -> ~_Self

Inherited from: FunctionCurve.c_mirrored

Center mirrored.

def curve_function(self, t: float) -> Tuple[float, float]

def h_mirrored(self: ~_Self, *, x: float = 0) -> ~_Self

Inherited from: FunctionCurve.h_mirrored

Horizontal mirrored.

def rotated(self: ~_Self, *, degrees: Optional[float] = None, radians: Optional[float] = None,
            origin: Optional[Tuple[float, float]] = None, inplace: Optional[bool] = None) -> ~_Self

Inherited from: FunctionCurve.rotated

Return a new cell reference rotated, either degrees or radians must be provided. If both provided, radians is used …

def sample_at(self, length: float) -> SampleInfo

Inherited from: FunctionCurve.sample_at

return sample info at length.

def scaled(self: ~_Self, sx: float, sy: Optional[float] = None, *,
            center: Tuple[float, float] = (0, 0)) -> ~_Self

Inherited from: FunctionCurve.scaled

scaled at center.

def split_at(self, length: float) -> Tuple[ICurve, ICurve]

Inherited from: FunctionCurve.split_at

return two subcurve at length, if length < 0, abs(length) from end.

def subcurve(self, start: float, end: float) -> ICurve

Inherited from: FunctionCurve.subcurve

return a subcurve between start and end …

def transform_combined(self, transform: Affine2D)

Inherited from: FunctionCurve.transform_combined

Returns an Affine2D that is the result of the matrix product with the given transformation. It means that the original image can be transformed by a …

def translated(self: ~_Self, tx: float, ty: float) -> ~_Self

Inherited from: FunctionCurve.translated

Translated.

def v_mirrored(self: ~_Self, *, y: float = 0) -> ~_Self

Inherited from: FunctionCurve.v_mirrored

Vertical mirrored.