Remove pyclipper dependency; remove shape.cut()

lethe/HEAD
Jan Petykiewicz 6 years ago
parent 8dfd856e18
commit ab483fc9d4

@ -11,7 +11,6 @@ E-beam doses, and the ability to output to multiple formats.
Requirements:
* python >= 3.5 (written and tested with 3.6)
* numpy
* pyclipper
* matplotlib (optional, used for visualization functions and text)
* python-gdsii (optional, used for gdsii i/o)
* svgwrite (optional, used for svg output)

@ -18,7 +18,6 @@
Dependencies:
- numpy
- pyclipper
- matplotlib [Pattern.visualize(...)]
- python-gdsii [masque.file.gdsii]
- svgwrite [masque.file.svgwrite]

@ -2,8 +2,6 @@ from typing import List
import copy
import numpy
from numpy import pi
import pyclipper
from pyclipper import scale_to_clipper, scale_from_clipper
from . import Shape, normalized_shape_tuple
from .. import PatternError
@ -185,11 +183,38 @@ class Polygon(Shape):
:returns: self
"""
self.vertices = scale_from_clipper(
pyclipper.CleanPolygon(
scale_to_clipper(
self.vertices
)))
self.remove_colinear_vertices()
return self
def remove_duplicate_vertices(self) -> 'Polygon'
'''
Removes all consecutive duplicate (repeated) vertices.
:returns: self
'''
duplicates = (self.vertices == numpy.roll(self.vertices, 1, axis=0)).all(axis=1)
self.vertices = self.vertices[~duplicates]
return self
def remove_colinear_vertices(self) -> 'Polygon'
'''
Removes consecutive co-linear vertices.
:returns: self
'''
dv0 = numpy.roll(self.vertices, 1, axis=0) - self.vertices
dv1 = numpy.roll(dv0, -1, axis=0)
# find cases where at least one coordinate is 0 in successive dv's
eq = dv1 == dv0
aa_colinear = numpy.logical_and(eq, dv0 == 0).any(axis=1)
# find cases where slope is equal
with numpy.errstate(divide='ignore', invalid='ignore'): # don't care about zeroes
slope_quotient = (dv0[:, 0] * dv1[:, 1]) / (dv1[:, 0] * dv0[:, 1])
slopes_equal = numpy.abs(slope_quotient - 1) < 1e-14
colinear = numpy.logical_or(aa_colinear, slopes_equal)
self.vertices = self.vertices[~colinear]
return self

@ -3,9 +3,6 @@ from abc import ABCMeta, abstractmethod
import copy
import numpy
import pyclipper
from pyclipper import scale_to_clipper, scale_from_clipper
from .. import PatternError
from ..utils import is_scalar, rotation_matrix_2d, vector2
@ -369,49 +366,3 @@ class Shape(metaclass=ABCMeta):
return manhattan_polygons
def cut(self,
cut_xs: numpy.ndarray = None,
cut_ys: numpy.ndarray = None
) -> List['Polygon']:
"""
Decomposes the shape into a list of constituent polygons by polygonizing and
then cutting along the specified x and/or y coordinates.
:param cut_xs: list of x-coordinates to cut along (e.g., [1, 1.4, 6])
:param cut_ys: list of y-coordinates to cut along (e.g., [1, 3, 5.4])
:return: List of Polygon objects
"""
from . import Polygon
clipped_shapes = []
for polygon in self.to_polygons():
min_x, min_y = numpy.min(polygon.vertices, axis=0)
max_x, max_y = numpy.max(polygon.vertices, axis=0)
range_x = max_x - min_x
range_y = max_y - min_y
edge_xs = (min_x - range_x - 1,) + tuple(cut_xs) + (max_x + range_x + 1,)
edge_ys = (min_y - range_y - 1,) + tuple(cut_ys) + (max_y + range_y + 1,)
for i in range(2):
for j in range(2):
clipper = pyclipper.Pyclipper()
clipper.AddPath(scale_to_clipper(polygon.vertices), pyclipper.PT_SUBJECT, True)
for start_x, stop_x in zip(edge_xs[i::2], edge_xs[(i+1)::2]):
for start_y, stop_y in zip(edge_ys[j::2], edge_ys[(j+1)::2]):
clipper.AddPath(scale_to_clipper((
(start_x, start_y),
(start_x, stop_y),
(stop_x, stop_y),
(stop_x, start_y),
)), pyclipper.PT_CLIP, True)
clipped_parts = scale_from_clipper(clipper.Execute(pyclipper.CT_INTERSECTION,
pyclipper.PFT_EVENODD,
pyclipper.PFT_EVENODD))
for part in clipped_parts:
poly = polygon.copy()
poly.vertices = part
clipped_shapes.append(poly)
return clipped_shapes

@ -17,7 +17,6 @@ setup(name='masque',
packages=find_packages(),
install_requires=[
'numpy',
'pyclipper',
],
extras_require={
'visualization': ['matplotlib'],

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