Module fnpcell.geometry.line

Functions

new_line

def new_line(length: float, *, step: Optional[float] = None, anchor: Anchor = Anchor.START,
                origin: Optional[Tuple[float, float]] = None,
                transform: Affine2D = Affine2D.identity()) -> Line

Create a Line.

new_line_between

def new_line_between(start: Tuple[float, float], end: Tuple[float, float], *,
                        step: Optional[float] = None, transform: Affine2D = Affine2D.identity()) -> Line

Classes

Line

class Line(length: float, steps: Tuple[float, ...], anchor: Anchor, transform: Affine2D)

Line(args: Any, *kwargs: Any)

Ancestors

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

Class variables

var anchor: Anchor
var length: float
var steps: Tuple[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 subdevisions: Tuple[float, ...]

Built-in immutable sequence.

If no argument is given, the constructor returns an empty tuple. If iterable is specified the tuple is initialized from iterable’s items.

If the argument is a tuple, the return value is the same object.

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.