def test_empty_mesh(self):
"""
What happens when we call functions on an empty mesh?
"""
mesh = Mesh(np.zeros((0, 3), np.float32), np.zeros((0, 3), int))
mesh.simplify(1.0)
assert len(mesh.vertices_zyx) == len(mesh.normals_zyx) == len(
mesh.faces) == 0
mesh.simplify(0.1)
assert len(mesh.vertices_zyx) == len(mesh.normals_zyx) == len(
mesh.faces) == 0
mesh.laplacian_smooth(0)
assert len(mesh.vertices_zyx) == len(mesh.normals_zyx) == len(
mesh.faces) == 0
mesh.laplacian_smooth(2)
assert len(mesh.vertices_zyx) == len(mesh.normals_zyx) == len(
mesh.faces) == 0
mesh.stitch_adjacent_faces()
assert len(mesh.vertices_zyx) == len(mesh.normals_zyx) == len(
mesh.faces) == 0
mesh.serialize(fmt='obj')
assert len(mesh.vertices_zyx) == len(mesh.normals_zyx) == len(
mesh.faces) == 0
mesh.serialize(fmt='drc')
assert len(mesh.vertices_zyx) == len(mesh.normals_zyx) == len(
mesh.faces) == 0
mesh.compress()
concatenate_meshes((mesh, mesh))
assert len(mesh.vertices_zyx) == len(mesh.normals_zyx) == len(
mesh.faces) == 0
def test_stitch():
vertices = np.zeros((10, 3), np.float32)
vertices[:, 0] = np.arange(10)
# Make 3 and 6 duplicates of 2 and 4, respectively
vertices[3] = vertices[2]
vertices[6] = vertices[4]
faces = [[0, 1, 2], [3, 4, 5], [6, 7, 8],
[7, 8, 4]] # <- duplicate face (different vertex order, and 4=6)
# After mapping away from dupe vertices
remapped_faces = [[0, 1, 2], [2, 4, 5], [4, 7, 8],
[7, 8, 4]] # duplicated face (different vertex order)
remapped_faces = np.array(remapped_faces)
# After dropping dupe rows
remapped_faces[(remapped_faces > 6)] -= 1
remapped_faces[(remapped_faces > 3)] -= 1
# Drop last face (duplicated)
remapped_faces = remapped_faces[:-1, :]
reduced_vertices = list(vertices)
del reduced_vertices[9] # wasn't referenced to begin with
del reduced_vertices[6] # was duplicated
del reduced_vertices[3] # was duplicated
reduced_vertices = np.asarray(reduced_vertices)
mesh = Mesh(vertices, faces)
mesh.stitch_adjacent_faces()
assert (mesh.faces == remapped_faces).all()
assert (mesh.vertices_zyx == reduced_vertices).all()