masque/masque/shapes/circle.py

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from typing import List, Dict
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import numpy
from numpy import pi
from . import Shape, Polygon, normalized_shape_tuple, DEFAULT_POLY_NUM_POINTS
from .. import PatternError
from ..utils import is_scalar, vector2
__author__ = 'Jan Petykiewicz'
class Circle(Shape):
"""
A circle, which has a position and radius.
"""
_radius = None # type: float
# Defaults for to_polygons
poly_num_points = DEFAULT_POLY_NUM_POINTS # type: int
poly_max_arclen = None # type: float
# radius property
@property
def radius(self) -> float:
"""
Circle's radius (float, >= 0)
:return: radius
"""
return self._radius
@radius.setter
def radius(self, val: float):
if not is_scalar(val):
raise PatternError('Radius must be a scalar')
if not val >= 0:
raise PatternError('Radius must be non-negative')
self._radius = val
def __init__(self,
radius: float,
poly_num_points: int=DEFAULT_POLY_NUM_POINTS,
poly_max_arclen: float=None,
offset: vector2=(0.0, 0.0),
layer: int=0,
dose: float=1.0):
self.offset = numpy.array(offset, dtype=float)
self.layer = layer
self.dose = dose
self.radius = radius
self.poly_num_points = poly_num_points
self.poly_max_arclen = poly_max_arclen
def __deepcopy__(self, memo: Dict = None) -> 'Circle':
memo = {} if memo is None else memo
new = copy.copy(self)
new._offset = self._offset.copy()
return new
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def to_polygons(self, poly_num_points: int=None, poly_max_arclen: float=None) -> List[Polygon]:
if poly_num_points is None:
poly_num_points = self.poly_num_points
if poly_max_arclen is None:
poly_max_arclen = self.poly_max_arclen
if (poly_num_points is None) and (poly_max_arclen is None):
raise PatternError('Number of points and arclength left '
'unspecified (default was also overridden)')
n = []
if poly_num_points is not None:
n += [poly_num_points]
if poly_max_arclen is not None:
n += [2 * pi * self.radius / poly_max_arclen]
thetas = numpy.linspace(2 * pi, 0, max(n), endpoint=False)
xs = numpy.cos(thetas) * self.radius
ys = numpy.sin(thetas) * self.radius
xys = numpy.vstack((xs, ys)).T
return [Polygon(xys, offset=self.offset, dose=self.dose, layer=self.layer)]
def get_bounds(self) -> numpy.ndarray:
return numpy.vstack((self.offset - self.radius,
self.offset + self.radius))
def rotate(self, theta: float) -> 'Circle':
return self
def mirror(self, axis: int) -> 'Circle':
self.offset *= -1
return self
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def scale_by(self, c: float) -> 'Circle':
self.radius *= c
return self
def normalized_form(self, norm_value) -> normalized_shape_tuple:
rotation = 0.0
magnitude = self.radius / norm_value
return (type(self), self.layer), \
(self.offset, magnitude, rotation, self.dose), \
lambda: Circle(radius=norm_value, layer=self.layer)