Module fnpcell.geometry.function_curve
Classes
FunctionCurve
class FunctionCurve(*args: Any, **kwargs: Any)
Base class curve.
Ancestors
TransformMixin, IUpdatable, CurveMixin, ICurve, ICurveLike, IAffineTransformable
Subclasses
CompatCurve, Bezier, EulerBend, Line
Class variables
var curve_reversed: bool var probe_depth: int var subdevisions: Tuple[float, ...]
Static methods
def transform_from_at(at: Union[None, Tuple[float, float], IPositioned, IRay] = None,
transform: Affine2D = Affine2D.identity()) -> Affine2D
Inherited from: TransformMixin.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: TransformMixin.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 curve_points
var end_orientations
var first_point
var last_point
var raw_end_orientations: Optional[Tuple[float, float]]
Methods
def c_mirrored(self: ~_Self, *, center: Tuple[float, float] = (0, 0)) -> ~_Self
Inherited from: TransformMixin.c_mirrored
Center mirrored.
def curve_function(self, t: float) -> Tuple[float, float]
def h_mirrored(self: ~_Self, *, x: float = 0) -> ~_Self
Inherited from: TransformMixin.h_mirrored
Horizontal mirrored.
def is_good_enough(self, s: float, e: float, depth: int) -> bool
def is_same_grid(self, point1: Tuple[float, float], point2: Tuple[float, float]) -> bool
def raw_curve_points(self, start: float, end: float) -> Tuple[Tuple[float, float], ...]
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: TransformMixin.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: CurveMixin.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: TransformMixin.scaled
scaled at center.
def split_at(self, length: float) -> Tuple[ICurve, ICurve]
Inherited from: CurveMixin.split_at
return two subcurve at length, if length < 0, abs(length) from end.
def subcurve(self, start: float, end: float) -> ICurve
Inherited from: CurveMixin.subcurve
return a subcurve between start and end …
def subdivide_curve(self, s: float, e: float) -> Tuple[Tuple[float, float], ...]
def transform_combined(self, transform: Affine2D)
Inherited from: TransformMixin.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: TransformMixin.translated
Translated.
def v_mirrored(self: ~_Self, *, y: float = 0) -> ~_Self
Inherited from: TransformMixin.v_mirrored
Vertical mirrored.