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116 lines
3.5 KiB
Python
116 lines
3.5 KiB
Python
import copy
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import numpy
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from numpy import pi
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from numpy.typing import NDArray, ArrayLike
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from . import Shape, Polygon, normalized_shape_tuple, DEFAULT_POLY_NUM_VERTICES
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from ..error import PatternError
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from ..repetition import Repetition
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from ..utils import is_scalar, annotations_t
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class Circle(Shape):
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"""
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A circle, which has a position and radius.
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"""
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__slots__ = (
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'_radius',
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# Inherited
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'_offset', '_repetition', '_annotations',
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)
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_radius: float
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""" Circle radius """
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# radius property
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@property
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def radius(self) -> float:
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"""
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Circle's radius (float, >= 0)
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"""
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return self._radius
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@radius.setter
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def radius(self, val: float) -> None:
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if not is_scalar(val):
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raise PatternError('Radius must be a scalar')
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if not val >= 0:
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raise PatternError('Radius must be non-negative')
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self._radius = val
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def __init__(
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self,
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radius: float,
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*,
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offset: ArrayLike = (0.0, 0.0),
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repetition: Repetition | None = None,
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annotations: annotations_t | None = None,
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raw: bool = False,
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) -> None:
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if raw:
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assert isinstance(offset, numpy.ndarray)
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self._radius = radius
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self._offset = offset
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self._repetition = repetition
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self._annotations = annotations if annotations is not None else {}
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else:
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self.radius = radius
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self.offset = offset
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self.repetition = repetition
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self.annotations = annotations if annotations is not None else {}
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def __deepcopy__(self, memo: dict | None = None) -> 'Circle':
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memo = {} if memo is None else memo
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new = copy.copy(self)
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new._offset = self._offset.copy()
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new._annotations = copy.deepcopy(self._annotations)
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return new
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def to_polygons(
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self,
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num_vertices: int | None = DEFAULT_POLY_NUM_VERTICES,
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max_arclen: float | None = None,
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) -> list[Polygon]:
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if (num_vertices is None) and (max_arclen is None):
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raise PatternError('Number of points and arclength left '
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'unspecified (default was also overridden)')
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n: list[float] = []
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if num_vertices is not None:
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n += [num_vertices]
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if max_arclen is not None:
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n += [2 * pi * self.radius / max_arclen]
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num_vertices = int(round(max(n)))
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thetas = numpy.linspace(2 * pi, 0, num_vertices, endpoint=False)
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xs = numpy.cos(thetas) * self.radius
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ys = numpy.sin(thetas) * self.radius
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xys = numpy.vstack((xs, ys)).T
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return [Polygon(xys, offset=self.offset)]
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def get_bounds_single(self) -> NDArray[numpy.float64]:
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return numpy.vstack((self.offset - self.radius,
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self.offset + self.radius))
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def rotate(self, theta: float) -> 'Circle':
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return self
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def mirror(self, axis: int = 0) -> 'Circle':
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self.offset *= -1
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return self
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def scale_by(self, c: float) -> 'Circle':
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self.radius *= c
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return self
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def normalized_form(self, norm_value) -> normalized_shape_tuple:
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rotation = 0.0
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magnitude = self.radius / norm_value
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return ((type(self),),
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(self.offset, magnitude, rotation, False),
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lambda: Circle(radius=norm_value))
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def __repr__(self) -> str:
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return f'<Circle o{self.offset} r{self.radius:g}>'
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