def test_type_name(self):
# Double default
nose.tools.assert_equal(LandmarkD().data_type, 'double')
nose.tools.assert_equal(LandmarkF().data_type, 'float')
nose.tools.assert_equal(LandmarkD([1, 2, 2]).data_type, 'double')
nose.tools.assert_equal(LandmarkF([1, 2, 2]).data_type, 'float')
def test_new(self):
LandmarkF()
LandmarkD()
LandmarkF([1, 1, 1])
LandmarkD([1, 1, 1])
LandmarkF([1, 1, 1], scale=10)
LandmarkD([1, 1, 1], scale=10)
def test_get_scale(self):
l = LandmarkF()
nose.tools.assert_equal(l.scale, 1)
l = LandmarkF([3, 4, 5], 44.5)
nose.tools.assert_almost_equal(l.scale, 44.5, self.precs[1])
l = LandmarkD()
nose.tools.assert_equal(l.scale, 1)
l = LandmarkD([3, 4, 5], 44.5)
nose.tools.assert_almost_equal(l.scale, 44.5, self.precs[0])
def test_get_loc(self):
l = LandmarkF()
numpy.testing.assert_equal(l.loc, [0, 0, 0])
l = LandmarkF([1, 2, 3])
numpy.testing.assert_equal(l.loc, [1, 2, 3])
l = LandmarkD()
numpy.testing.assert_equal(l.loc, [0, 0, 0])
l = LandmarkD([1, 2, 3])
numpy.testing.assert_equal(l.loc, [1, 2, 3])
def test_cos_obs_angle(self):
l = LandmarkF()
# default
nose.tools.assert_equal(l.cos_obs_angle, 1)
l.cos_obs_angle = 0.5
numpy.testing.assert_almost_equal(l.cos_obs_angle, 0.5, self.precs[1])
l.cos_obs_angle = -0.5
numpy.testing.assert_almost_equal(l.cos_obs_angle, -0.5, self.precs[1])
# Can technically go outside range of cosine
l.cos_obs_angle = 1.5
numpy.testing.assert_almost_equal(l.cos_obs_angle, 1.5, self.precs[1])
l.cos_obs_angle = -1.5
numpy.testing.assert_almost_equal(l.cos_obs_angle, -1.5, self.precs[1])
l = LandmarkD()
# default
nose.tools.assert_equal(l.cos_obs_angle, 1)
l.cos_obs_angle = 0.5
numpy.testing.assert_almost_equal(l.cos_obs_angle, 0.5, self.precs[0])
l.cos_obs_angle = -0.5
numpy.testing.assert_almost_equal(l.cos_obs_angle, -0.5, self.precs[0])
# Can technically go outside range of cosine
l.cos_obs_angle = 1.5
numpy.testing.assert_almost_equal(l.cos_obs_angle, 1.5, self.precs[0])
l.cos_obs_angle = -1.5
numpy.testing.assert_almost_equal(l.cos_obs_angle, -1.5, self.precs[0])
def test_color(self):
l = LandmarkF()
# default
nose.tools.assert_equal(l.color, RGBColor())
c = RGBColor(0, 0, 0)
l.color = c
nose.tools.assert_equal(l.color, c)
c = RGBColor(12, 240, 120)
l.color = c
nose.tools.assert_equal(l.color, c)
l = LandmarkD()
# default
nose.tools.assert_equal(l.color, RGBColor())
c = RGBColor(0, 0, 0)
l.color = c
nose.tools.assert_equal(l.color, c)
c = RGBColor(12, 240, 120)
l.color = c
nose.tools.assert_equal(l.color, c)
def test_set_scale(self):
l = LandmarkF()
l.scale = 1
nose.tools.assert_equal(l.scale, 1)
l.scale = 2
nose.tools.assert_equal(l.scale, 2)
l.scale = 2.456
nose.tools.assert_almost_equal(l.scale, 2.456, self.precs[1])
l.scale = -2
nose.tools.assert_almost_equal(l.scale, -2, self.precs[1])
l = LandmarkD()
l.scale = 1
nose.tools.assert_equal(l.scale, 1)
l.scale = 2
nose.tools.assert_equal(l.scale, 2)
l.scale = 2.456
nose.tools.assert_almost_equal(l.scale, 2.456, self.precs[0])
l.scale = -2
nose.tools.assert_almost_equal(l.scale, -2, self.precs[0])
def test_normal(self):
l = LandmarkF()
numpy.testing.assert_equal(l.normal, [0, 0, 0])
l.normal = [0, 1, 0]
numpy.testing.assert_equal(l.normal, [0, 1, 0])
l = LandmarkD()
numpy.testing.assert_equal(l.normal, [0, 0, 0])
l.normal = [0, 1, 0]
numpy.testing.assert_equal(l.normal, [0, 1, 0])
def test_set_loc(self):
l = LandmarkF()
l.loc = [1, 1, 1]
numpy.testing.assert_equal(l.loc, [1, 1, 1])
l.loc = [9.12, 4.1, 8.3]
numpy.testing.assert_almost_equal(l.loc, [9.12, 4.1, 8.3],
self.precs[1])
l = LandmarkD()
l.loc = [1, 1, 1]
numpy.testing.assert_equal(l.loc, [1, 1, 1])
l.loc = [9.12, 4.1, 8.3]
numpy.testing.assert_almost_equal(l.loc, [9.12, 4.1, 8.3],
self.precs[0])
def test_observations(self):
l = LandmarkF()
# default
nose.tools.assert_equal(l.observations, 0)
l.observations = 42
nose.tools.assert_equal(l.observations, 42)
l = LandmarkD()
# default
nose.tools.assert_equal(l.observations, 0)
l.observations = 42
nose.tools.assert_equal(l.observations, 42)
def test_covariance(self):
covars = [Covar3d(7), Covar3f(7)]
l = LandmarkF()
# check default
numpy.testing.assert_array_equal(l.covariance.matrix(),
Covar3d().matrix())
# set type-aligned covariance
l.covariance = covars[1]
numpy.testing.assert_array_almost_equal(l.covariance.matrix(),
covars[1].matrix(),
self.precs[1])
l = LandmarkD()
numpy.testing.assert_array_equal(l.covariance.matrix(),
Covar3d().matrix())
l.covariance = covars[0]
numpy.testing.assert_array_almost_equal(l.covariance.matrix(),
covars[0].matrix(),
self.precs[0])