def test_point_height_above_plane(self):
pl = plane.create([0., 1., 0.], 1.)
p = np.array([0., 1., 0.])
result = gt.point_height_above_plane(p, pl)
self.assertEqual(result, 0.)
p = np.array([0., 0., 0.])
result = gt.point_height_above_plane(p, pl)
self.assertEqual(result, -1.)
v1 = np.array([ 0.0, 0.0, 1.0])
v2 = np.array([ 1.0, 0.0, 1.0])
v3 = np.array([ 0.0, 1.0, 1.0])
p = np.array([0.0, 0.0, 20.0])
pl = plane.create_from_points(v1, v2, v3)
pl = plane.invert_normal(pl)
result = gt.point_height_above_plane(p, pl)
self.assertEqual(result, 19.)
pl = plane.create_xz(distance=5.)
p = np.array([0., 5., 0.])
h = gt.point_height_above_plane(p, pl)
self.assertEqual(h, 0.)
def test_point_height_above_plane(self):
v1 = np.array([ 0.0, 0.0, 1.0])
v2 = np.array([ 1.0, 0.0, 1.0])
v3 = np.array([ 0.0, 1.0, 1.0])
p = np.array([0.0, 0.0, 20.0])
pl = plane.create_from_points(v1, v2, v3)
pl = plane.invert_normal(pl)
result = gt.point_height_above_plane(p, pl)
self.assertEqual(result, 19.)
def test_point_height_above_plane(self):
v1 = np.array([ 0.0, 0.0, 1.0])
v2 = np.array([ 1.0, 0.0, 1.0])
v3 = np.array([ 0.0, 1.0, 1.0])
p = np.array([0.0, 0.0, 20.0])
pl = plane.create_from_points(v1, v2, v3)
pl = plane.invert_normal(pl)
result = gt.point_height_above_plane(p, pl)
self.assertEqual(result, 19.)
def test_invert_normal( self ):
p = numpy.array( [ 1.0, 0.0, 0.0, 1.0 ] )
result = plane.invert_normal( p )
expected = numpy.array( [-1.0, 0.0, 0.0, -1.0 ] )
self.assertTrue(
numpy.array_equal( result, expected ),
"Plane normal invert incorrect"
)
def test_height_above_plane( self ):
v1 = numpy.array( [ 0.0, 0.0, 1.0 ] )
v2 = numpy.array( [ 1.0, 0.0, 1.0 ] )
v3 = numpy.array( [ 0.0, 1.0, 1.0 ] )
point = numpy.array([ 0.0, 0.0, 20.0 ])
p = plane.create_from_points( v1, v2, v3 )
p = plane.invert_normal( p )
result = gt.point_height_above_plane( point, p )
# should be 19.0
expected = 19.0
self.assertEqual(
result,
expected,
"Height above plane incorrect"
)
def test_invert_normal(self):
p = np.array([1.0, 0.0, 0.0, 1.0])
result = plane.invert_normal(p)
self.assertTrue(np.allclose(result, [-1.0, 0.0, 0.0, -1.0]))
def test_invert_normal(self):
p = np.array([1.0, 0.0, 0.0, 1.0])
result = plane.invert_normal(p)
self.assertTrue(np.allclose(result, [-1.0, 0.0, 0.0, -1.0]))