def _plate2(self, dlist):
"""Triangularize with MIT Per-Olof, Prof. Gilbert Strange's algorithm."""
width = float(dlist[0])
length = float(dlist[1])
half_w = width / 2
half_l = length / 2
edge_size = dlist[2]
self.x_extent = [-half_w, half_w]
self.y_extent = [-half_l, half_l]
self.maxdim = max([abs(each) for each in self.x_extent + self.y_extent])
polygon = Poly([-half_w, -half_l])
polygon.add_line2(width, 0, 1)
polygon.add_line2(length, 90, 1)
polygon.add_line2(width, 180, 1)
polygon.add_line2(length, 270, 1)
polygon.close()
self.vertices = polygon.vertices
pv = polygon.vertices
f = lambda p: dm.dpoly(p,pv)
pnt, tri = dm.distmesh2d(f, dm.huniform, edge_size, (-half_w, -half_l, half_w, half_l), pv)
self.triangles = tri
self.points = pnt
self.triangles = [tuple(each) for each in self.triangles]
self.triangles_total = len(self.triangles)
def square():
"""Square, with size function point and line sources"""
fd = lambda p: dm.drectangle(p,0,1,0,1)
fh = lambda p: np.minimum(np.minimum(
0.01+0.3*abs(dm.dcircle(p,0,0,0)),
0.025+0.3*abs(dm.dpoly(p,[(0.3,0.7),(0.7,0.5)]))), 0.15)
return dm.distmesh2d(fd, fh, 0.01, (0,0,1,1), [(0,0), (1,0), (0,1), (1,1)])
def polygon():
"""Polygon"""
pv = np.array([(-0.4,-0.5),(0.4,-0.2),(0.4,-0.7),(1.5,-0.4),(0.9,0.1),
(1.6,0.8),(0.5,0.5),(0.2,1.0),(0.1,0.4),(-0.7,0.7),
(-0.4,-0.5)])
fd = lambda p: dm.dpoly(p, pv)
return dm.distmesh2d(fd, dm.huniform, 0.1, (-1,-1, 2,1), pv)
def polygon():
"""Polygon"""
pv = np.array([(-0.4, -0.5), (0.4, -0.2), (0.4, -0.7), (1.5, -0.4),
(0.9, 0.1), (1.6, 0.8), (0.5, 0.5), (0.2, 1.0), (0.1, 0.4),
(-0.7, 0.7), (-0.4, -0.5)])
fd = lambda p: dm.dpoly(p, pv)
return dm.distmesh2d(fd, dm.huniform, 0.1, (-1, -1, 2, 1), pv)
def square():
"""Square, with size function point and line sources"""
fd = lambda p: dm.drectangle(p, 0, 1, 0, 1)
fh = lambda p: np.minimum(
np.minimum(0.01 + 0.3 * abs(dm.dcircle(p, 0, 0, 0)), 0.025 + 0.3 * abs(
dm.dpoly(p, [(0.3, 0.7), (0.7, 0.5)]))), 0.15)
return dm.distmesh2d(fd, fh, 0.01, (0, 0, 1, 1), [(0, 0), (1, 0), (0, 1),
(1, 1)])
def polygon(pv, d, minx, miny, maxx, maxy): # GOES COUNTER_CLOCKWISE
"""Polygon"""
# pv0 = np.array([(-0.4,-0.5),(0.4,-0.2),(0.4,-0.7),(1.5,-0.4),(0.9,0.1),
# (1.6,0.8),(0.5,0.5),(0.2,1.0),(0.1,0.4),(-0.7,0.7),
# (-0.4,-0.5)])
# print type(pv0)
# print type(pv0[0])
fd = lambda p: dm.dpoly(p, pv)
print 'bleh'
return dm.distmesh2d(fd, dm.huniform, d / 5, (minx, miny, maxx, maxy), pv)
def _poly(self, dlist):
"""Triangularize arbitrary shape of polygon with MIT Per-Olof, Prof. Gilbert Strange's algorithm."""
vertices = dlist[0]
x, y = [each[0] for each in vertices], [each[1] for each in vertices]
self.x_extent = [min(x), max(x)]
self.y_extent = [min(y), max(y)]
self.maxdim = max([abs(each) for each in self.x_extent + self.y_extent])
edge_size = dlist[1]
bbox = dlist[2]
self.vertices = vertices
pv = vertices
f = lambda p: dm.dpoly(p,pv)
pnt, tri = dm.distmesh2d(f, dm.huniform, edge_size, bbox, pv)
self.triangles = tri
self.points = pnt
self.triangles = [tuple(each) for each in self.triangles]
self.triangles_total = len(self.triangles)
def process(inputs):
csv_file = inputs[0]
out_file = inputs[1]
points = inputs[2]
min_x = min([x[0] for x in points])
min_y = min([x[1] for x in points])
max_x = max([x[0] for x in points])
max_y = max([x[1] for x in points])
fd = lambda p: dm.dpoly(p, points)
gen_points, gen_triangles = dm.distmesh2d(fd, dm.huniform, args['scale'], (min_x, min_y, max_x, max_y), points, None)
with open(out_file, 'w') as of:
for pt in gen_points:
x = str(pt[0])
y = str(pt[1])
of.write(x+','+y+'\n')
print 'File: %s, %d vertices, %d points generated.' % (csv_file, len(points), len(gen_points))
def polygon(self, pv, h0, minx, miny, maxx,
maxy): # GOES COUNTER_CLOCKWISE
"""Polygon"""
fd = lambda p: dm.dpoly(p, pv)
print 'Working on generating the mesh!'
return dm.distmesh2d(fd, dm.huniform, h0, (minx, miny, maxx, maxy), pv)
posx.append(pv[i][0])
posy.append(pv[i][1])
minx = min(posx)
miny = min(posy)
maxx = max(posx)
maxy = max(posy)
#print " * Min x and y -> ", minx, ", ", miny
#print " * Max x and y -> ", maxx, ", ", maxy
max = max([abs(minx), abs(miny), abs(maxx), abs(maxy)])
for i in range(len(pv)):
pv[i] = (pv[i][0] / max, pv[i][1] / max)
fd = lambda p: distmesh.dpoly(p, pv)
p, t = distmesh.distmesh2d(fd, distmesh.huniform, float(sys.argv[2]),
(minx, miny, maxx, maxy), pv)
#for i in range(len(p)):
# print p[i,0], p[i,1]
# Open file stream
fout = open(filename + '_distmesh.geo', 'w')
fout.write('%d\t' % len(p))
fout.write('0\t')
fout.write('%d\n' % len(t))
for i in range(len(p)):
fout.write('%5d %14.5f %14.5f \n' % (i, p[i, 0], p[i, 1]))
