def testTensorDoubleD(self):
d1 = zeroTypeD(1)
d2 = zeroTypeDAdm(1)
d3 = zeroTypeD(2)
d4 = zeroTypeDAdm(2)
d5 = zeroTypeD(3)
d6 = zeroTypeDAdm(3)
d7 = zeroTypeD(4)
d8 = zeroTypeDAdm(4)
tests = [(d1, d2, 2), (d2, d1, 2), (d2, d2, 2),
(d3, d4, 4), (d4, d3, 4), (d4, d4, 4),
(d5, d6, 8), (d7, d8, 16)]
for d_left, d_right, expected_len in tests:
cx = computeATensorD(d_left.dual(), d_right)
cx.simplify()
self.assertEqual(len(cx), expected_len)
def testTensorDDandD(self):
d1 = zeroTypeD(1)
d2 = zeroTypeDAdm(1)
d3 = zeroTypeD(2)
dd_id = identityDD(splitPMC(1))
dd_id2 = identityDD(splitPMC(2))
dd_slide1 = Arcslide(splitPMC(1), 0, 1).getDDStructure()
dstr1 = computeDATensorD(dd_id, d1)
dstr2 = computeDATensorD(dd_id, d2)
dstr3 = computeDATensorD(dd_slide1, d1)
dstr4 = computeDATensorD(dd_id2, d3)