def test_triangulation():
#random points on the sphere
points = util.normalize(np.random.randn(10000,3))
#build curve. add sharp convex corners, as well as additional cuts
N = 267#9
radius = np.cos( np.linspace(0,np.pi*2*12,N, False)) +1.1
curve = np.array([(np.cos(a)*r,np.sin(a)*r,1) for a,r in zip( np.linspace(0,np.pi*2,N, endpoint=False), radius)])
curve = np.append(curve, [[1,0,-4],[-1,0,-4]], axis=0) #add bottom slit
curve = util.normalize(curve)
curve = cg.Curve(curve)
# print curve
#do triangulation
mesh, curve = cg.triangulate(points, curve)
#add partitioning of points here too?
partitions = mesh.partition(curve)
def partition(self):
"""
take a datamodel, and subdivide it into surface meshes, according to a list of boundary curves
take standard boundary prop for now
"""
## level = 7
## from . import multicomplex
## hierarchy = multicomplex.generate(self.group, level)
hierarchy = self.hierarchy
complex = hierarchy[-1]
#concat all curves
curve = [cg.Curve(transform)
for e in self.edges if e.boundary
for mirrors in e.instantiate()
for transform in mirrors]
curve = reduce(lambda x,y: x.merge(y), curve)
#instantiate a geometry
vertices = complex.geometry.generate_vertices(self.group)
# triangulate
mesh, curve = cg.triangulate(vertices, curve)
# return partitions
return mesh.partition(curve)