def test_inverse(self):
# Inverse of identity is itself
s = Similarity()
nose.tools.assert_equal(s, s.inverse())
s = Similarity(self.s, self.r, self.t)
s_i = s.inverse()
i = s * s_i
# Similarity composed with inverse should be identity
nose.tools.assert_almost_equal(i.scale, 1., 14)
nose.tools.assert_almost_equal(i.rotation.angle(), 0., 14)
nose.tools.assert_almost_equal(numpy.linalg.norm(i.translation, 2), 0.,
14)
def test_inverse(self):
# Inverse of identity is itself
s = Similarity()
nose.tools.assert_equal(s, s.inverse())
s = Similarity(self.s, self.r, self.t)
s_i = s.inverse()
i = s * s_i
# Similarity composed with inverse should be identity
nose.tools.assert_almost_equal(i.scale, 1., 14)
nose.tools.assert_almost_equal(i.rotation.angle(), 0., 14)
nose.tools.assert_almost_equal(numpy.linalg.norm(i.translation, 2),
0., 12)
def test_transform_vector(self):
s = Similarity(self.s, self.r, self.t)
v1 = EigenArray.from_iterable([4, 2.1, 9.125])
v2 = s.transform_vector(v1)
v3 = s.inverse().transform_vector(v2)
nose.tools.assert_false(numpy.allclose(v1, v2))
nose.tools.assert_true(numpy.allclose(v1, v3))
# This should also work with mult syntax
v4 = s * v1
v5 = s.inverse() * v4
nose.tools.assert_false(numpy.allclose(v1, v4))
nose.tools.assert_true(numpy.allclose(v1, v5))
def test_transform_vector(self):
s = Similarity(self.s, self.r, self.t)
v1 = [4, 2.1, 9.125]
v2 = s.transform_vector(v1)
v3 = s.inverse().transform_vector(v2)
nose.tools.assert_false(numpy.allclose(v1, v2))
nose.tools.assert_true(numpy.allclose(v1, v3))
# This should also work with mult syntax
v4 = s * v1
v5 = s.inverse() * v4
nose.tools.assert_false(numpy.allclose(v1, v4))
nose.tools.assert_true(numpy.allclose(v1, v5))