def test_voronoi_circles(self):
sv = spherical_voronoi.SphericalVoronoi(self.points)
for vertex in sv.vertices:
distances = distance.cdist(sv.points, np.array([vertex]))
closest = np.array(sorted(distances)[0:3])
assert_almost_equal(closest[0], closest[1], 7, str(vertex))
assert_almost_equal(closest[0], closest[2], 7, str(vertex))
def test_sort_vertices_of_regions_dimensionality(self):
points = np.array([[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1],
[0.5, 0.5, 0.5, 0.5]])
with pytest.raises(TypeError, match="three-dimensional"):
sv = spherical_voronoi.SphericalVoronoi(points)
sv.sort_vertices_of_regions()
def test_incorrect_center_handling(self):
# an exception should be raised if the center provided
# cannot possibly match the input generators
with assert_raises(ValueError):
sv = spherical_voronoi.SphericalVoronoi(self.points,
center=[0.1, 0, 0])
def test_duplicate_point_handling(self):
# an exception should be raised for degenerate generators
# related to Issue# 7046
self.degenerate = np.concatenate((self.points, self.points))
with assert_raises(ValueError):
sv = spherical_voronoi.SphericalVoronoi(self.degenerate)
def test_rank_deficient(self):
# rank-1 input cannot be triangulated
points = np.array([[-1, 0, 0], [1, 0, 0]])
with pytest.raises(ValueError, match="Rank of input points"):
spherical_voronoi.SphericalVoronoi(points)
def test_incorrect_radius_handling(self):
# an exception should be raised if the radius provided
# cannot possibly match the input generators
with assert_raises(ValueError):
spherical_voronoi.SphericalVoronoi(self.points, radius=0.98)
def test_rank_deficient(self, n, center):
thetas = np.linspace(0, 2 * np.pi, n, endpoint=False)
points = np.vstack([np.sin(thetas), np.cos(thetas), np.zeros(n)]).T
with pytest.raises(ValueError, match="Rank of input points"):
spherical_voronoi.SphericalVoronoi(points + center, center=center)
