def test_xy_to_ABC_yscale(self):
for yscale in [1.0, 2.0, np.sqrt(3) / 2]:
out = xy_to_ABC(self.xy, yscale=yscale)
expect = self.ABC.copy()
# scale is slightly complicated; will leave for now
# test inverse
self.assertTrue(np.allclose(ABC_to_xy(out, yscale=yscale),
self.xy))
def test_ABC_to_xy_yscale(self):
for yscale in [1.0, 2.0, np.sqrt(3) / 2]:
out = ABC_to_xy(self.ABC, yscale=yscale)
expect = self.xy.copy()
expect[:, 1] *= yscale
# test scale
self.assertTrue(np.allclose(out, expect))
# test inverse
self.assertTrue(
np.allclose(xy_to_ABC(out, yscale=yscale), close(self.ABC)))
def test_tfm_inversion_xyABC(self):
out = ABC_to_xy(xy_to_ABC(self.xy))
self.assertTrue(np.allclose(out, self.xy))
def test_tfm_inversion_ABCxy(self):
out = xy_to_ABC(ABC_to_xy(self.ABC))
self.assertTrue(np.allclose(out, close(self.ABC)))
def test_xy_to_ABC(self):
out = xy_to_ABC(self.xy)
self.assertTrue(np.allclose(out, close(self.ABC)))