def test_cp_2d(self):
h = Hemisphere(np.zeros(2))
points = np.array([[0, 0], [-1, -1], [-1, 1], [2, 2]])
cp, dist, bdy, _ = h.closestPointToCartesianVec(points)
for cp_i, dist_i, bdy_i, points_i in zip(cp, dist, bdy, points):
cp_i2, dist_i2, bdy_i2, _ = h.closestPointToCartesian(points_i)
self.check_cp_results((cp_i, dist_i, bdy_i),
(cp_i2, dist_i2, bdy_i2))
def test_cp_3d(self):
points = np.array([[0, 0, 0], [0, 0, -2], [0, 0, 2], [0.5, 0.5, -1],
[2, 2, 0]])
h = Hemisphere()
cp, dist, bdy, _ = h.closestPointToCartesianVec(points)
for cp_i, dist_i, bdy_i, points_i in zip(cp, dist, bdy, points):
# If only we were using py3... "*res_a, _ = "
cp_i2, dist_i2, bdy_i2, _ = h.closestPointToCartesian(points_i)
self.check_cp_results((cp_i, dist_i, bdy_i),
(cp_i2, dist_i2, bdy_i2))
def test_cp_2d(self):
h = Hemisphere(np.zeros(2))
points = np.array([[0, 0],
[-1, -1],
[-1, 1],
[2, 2]])
cp, dist, bdy, _ = h.closestPointToCartesianVec(points)
for cp_i, dist_i, bdy_i, points_i in zip(cp, dist, bdy, points):
cp_i2, dist_i2, bdy_i2, _ = h.closestPointToCartesian(points_i)
self.check_cp_results((cp_i, dist_i, bdy_i),
(cp_i2, dist_i2, bdy_i2))
def test_cp_3d(self):
points = np.array([[0, 0, 0],
[0, 0, -2],
[0, 0, 2],
[0.5, 0.5, -1],
[2, 2, 0]])
h = Hemisphere()
cp, dist, bdy, _ = h.closestPointToCartesianVec(points)
for cp_i, dist_i, bdy_i, points_i in zip(cp, dist, bdy, points):
# If only we were using py3... "*res_a, _ = "
cp_i2, dist_i2, bdy_i2, _ = h.closestPointToCartesian(points_i)
self.check_cp_results((cp_i, dist_i, bdy_i),
(cp_i2, dist_i2, bdy_i2))
