Merge branch 'master' of mpxd.net:jan/masque

README.md

@@ -9,8 +9,9 @@ E-beam doses, and the ability to output to multiple formats.
 ## Installation
 
 Requirements:
-* python 3 (written and tested with 3.5)
+* 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)
@@ -27,5 +28,5 @@ pip install git+https://mpxd.net/gogs/jan/masque.git@release
 * Polygon de-embedding
 ### Maybe
 * Construct from bitmap
-* Boolean operations on polygons (eg. using pyclipper)
+* Boolean operations on polygons (using pyclipper)
-* Output to OASIS
+* Output to OASIS (using fatamorgana)

masque/__init__.py

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

masque/shapes/polygon.py

@@ -2,6 +2,8 @@ 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
@@ -173,75 +175,17 @@ class Polygon(Shape):
                (offset, scale/norm_value, rotation, self.dose), \
                lambda: Polygon(reordered_vertices*norm_value, layer=self.layer)
 
-    def cut(self,
+    def clean_vertices(self) -> 'Polygon':
-            cut_xs: numpy.ndarray = None,
-            cut_ys: numpy.ndarray = None
-            ) -> List['Polygon']:
         """
-        Decomposes the polygon into a list of constituents by cutting along the
+        Removes duplicate, co-linear and otherwise redundant vertices.
-          specified x and/or y coordinates.
 
-        :param cut_xs: list of x-coordinates to cut along (e.g., [1, 1.4, 6])
+        :returns: self
-        :param cut_ys: list of y-coordinates to cut along (e.g., [1, 3, 5.4])
-        :return: List of Polygon objects
         """
-        import float_raster
+        self.vertices = scale_from_clipper(
-        xy_complex = self.vertices[:, 0] + 1j * self.vertices[:, 1]
+                            pyclipper.CleanPolygon(
-        xy_cleaned = _clean_complex_vertices(xy_complex)
+                                scale_to_clipper(
-        xy = numpy.vstack((numpy.real(xy_cleaned)[None, :],
+                                    self.vertices
-                           numpy.imag(xy_cleaned)[None, :]))
+                                )))
-
+        return self
-        if cut_xs is None:
-            cut_xs = tuple()
-        if cut_ys is None:
-            cut_ys = tuple()
-
-        mins, maxs = self.get_bounds()
-        dx, dy = maxs - mins
-
-        cx = numpy.hstack((min(tuple(cut_xs) + (mins[0],)) - dx, cut_xs, max((maxs[0],) + tuple(cut_xs)) + dx))
-        cy = numpy.hstack((min(tuple(cut_ys) + (mins[1],)) - dy, cut_ys, max((maxs[1],) + tuple(cut_ys)) + dy))
-
-        all_verts = float_raster.create_vertices(xy, cx, cy)
-
-        polygons = []
-        for cx_min, cx_max in zip(cx, cx[1:]):
-            for cy_min, cy_max in zip(cy, cy[1:]):
-                clipped_verts = (numpy.real(all_verts).clip(cx_min, cx_max) + 1j *
-                                 numpy.imag(all_verts).clip(cy_min, cy_max))
-
-                cleaned_verts = _clean_complex_vertices(clipped_verts)
-                if len(cleaned_verts) == 0:
-                    continue
-
-                final_verts = numpy.hstack((numpy.real(cleaned_verts)[:, None],
-                                            numpy.imag(cleaned_verts)[:, None]))
-                polygons.append(Polygon(
-                    vertices=final_verts,
-                    layer=self.layer,
-                    dose=self.dose))
-        return polygons
 
 
-def _clean_complex_vertices(vertices: numpy.ndarray) -> numpy.ndarray:
-    eps = numpy.finfo(vertices.dtype).eps
-
-    def cleanup(v):
-        # Remove duplicate points
-        dv = v - numpy.roll(v, 1)
-        v = v[numpy.abs(dv) > eps]
-
-        # Remove colinear points
-        dv = v - numpy.roll(v, 1)
-        m = numpy.angle(dv) % pi
-        diff_m = m - numpy.roll(m, -1)
-        return v[numpy.abs(diff_m) > eps]
-
-    n = len(vertices)
-    cleaned = cleanup(vertices)
-    while n != len(cleaned):
-        n = len(cleaned)
-        cleaned = cleanup(cleaned)
-
-    return cleaned
-

masque/shapes/shape.py

@@ -3,6 +3,9 @@ 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
 
@@ -249,7 +252,7 @@ class Shape(metaclass=ABCMeta):
                       numpy.where(keep_y)[0][0])
 
             rastered = float_raster.raster((polygon.vertices + polygon.offset).T, gx, gy)
-            binary_rastered = (rastered >= 0.5)
+            binary_rastered = (numpy.abs(rastered) >= 0.5)
             supersampled = binary_rastered.repeat(2, axis=0).repeat(2, axis=1)
 
             contours = skimage.measure.find_contours(supersampled, 0.5)
@@ -271,3 +274,49 @@ 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

masque/subpattern.py

@@ -156,4 +156,3 @@ class SubPattern:
         """
         self.scale *= c
         return self
-

setup.py

@@ -3,20 +3,21 @@
 from setuptools import setup, find_packages
 
 setup(name='masque',
-      version='0.2',
+      version='0.3',
       description='Lithography mask library',
       author='Jan Petykiewicz',
       author_email='anewusername@gmail.com',
       url='https://mpxd.net/gogs/jan/masque',
       packages=find_packages(),
       install_requires=[
-            'numpy'
+            'numpy',
+            'pyclipper',
       ],
       extras_require={
           'visualization': ['matplotlib'],
           'gdsii': ['python-gdsii'],
           'svg': ['svgwrite'],
-          'text': ['freetype-py', 'matplotlib']
+          'text': ['freetype-py', 'matplotlib'],
       },
       )