def iteration(pts):
mask, pts, repeating = unique_points(pts)
n = len(pts)
all_pts = pts + invert_points(pts)
voronoi_verts, _, voronoi_faces = voronoi_bounded(all_pts,
bound_mode = bound_mode,
clip = clip,
draw_bounds = True,
draw_hangs = True,
make_faces = True,
ordered_faces = True,
max_sides = 20)
centers = []
for face in voronoi_faces[:n]:
face_verts = np.array([voronoi_verts[i] for i in face])
new_pt = weighted_center(face_verts, weight_field)
centers.append(tuple(new_pt))
result = []
i = 0
j = 0
for is_unique in mask:
if is_unique:
result.append(centers[i])
i += 1
else:
result.append(repeating[j])
j += 1
return result
def iteration(pts):
diagram = SphericalVoronoi(pts, radius=radius, center=np.array(center))
diagram.sort_vertices_of_regions()
centers = []
for region in diagram.regions:
verts = np.array([diagram.vertices[i] for i in region])
new_vert = weighted_center(verts, weight_field)
centers.append(tuple(new_vert))
return centers
def iteration(pts):
all_pts = pts + project_solid_normals(shell, pts, thickness)
diagram = Voronoi(all_pts)
centers = []
for site_idx in range(len(pts)):
region_idx = diagram.point_region[site_idx]
region = diagram.regions[region_idx]
region_verts = np.array([diagram.vertices[i] for i in region])
center = weighted_center(region_verts, weight_field)
centers.append(tuple(center))
return centers
def iteration(pts):
n = len(pts)
all_pts = pts
for pt in pts:
if solid.isInside(Base.Vector(pt), tolerance, False):
all_pts.append(invert(pt))
diagram = Voronoi(all_pts)
centers = []
for site_idx in range(n):
region_idx = diagram.point_region[site_idx]
region = diagram.regions[region_idx]
region_verts = np.array([diagram.vertices[i] for i in region])
center = weighted_center(region_verts, weight_field)
centers.append(tuple(center))
return centers
def iteration(pts):
n = len(pts)
all_pts = pts + invert(pts)
diagram = Voronoi(all_pts)
vertices = restrict(diagram.vertices)
centers = []
for site_idx in range(n):
region_idx = diagram.point_region[site_idx]
region = diagram.regions[region_idx]
if -1 in region:
site = pts[site_idx]
centers.append(site)
continue
region_verts = np.array([vertices[i] for i in region])
center = weighted_center(region_verts, weight_field)
centers.append(tuple(center))
return centers
def iteration(points):
n = len(points)
normals = calc_bvh_normals(bvh, points)
k = 0.5*thickness
points = np.array(points)
plus_points = points + k*normals
minus_points = points - k*normals
all_points = points.tolist() + plus_points.tolist() + minus_points.tolist()
diagram = Voronoi(all_points)
centers = []
for site_idx in range(n):
region_idx = diagram.point_region[site_idx]
region = diagram.regions[region_idx]
region_verts = np.array([diagram.vertices[i] for i in region])
center = weighted_center(region_verts, weight_field)
centers.append(tuple(center))
return centers
def iteration(points):
n = len(points)
all_points = points[:]
k = 0.5 * thickness
for p in points:
p = Vector(p)
loc, normal, index, distance = bvh.find_nearest(p)
if distance <= epsilon:
p1 = p + k * normal
all_points.append(tuple(p1))
diagram = Voronoi(all_points)
centers = []
for site_idx in range(n):
region_idx = diagram.point_region[site_idx]
region = diagram.regions[region_idx]
region_verts = np.array([diagram.vertices[i] for i in region])
center = weighted_center(region_verts, weight_field)
centers.append(tuple(center))
return centers
