def test_IndexProduct_exceptions(self):
for low, high in [(1, 0), (0, self.L - 1), (0, self.L), (-1, 0)]:
with self.subTest(low=low, high=high):
d = do.Sigmay(index=0) * do.Sigmay(index=1)
d.L = self.L
with self.assertRaises(ValueError):
do.IndexProduct(d, min_i=low, max_i=high)
def test_Majorana(self):
tests = [(1, do.Sigmay()), (2, do.Sigmaz(0) * do.Sigmax(1)),
(4, do.Sigmaz(0) * do.Sigmaz(1) * do.Sigmax(2))]
for idx, op in tests:
X = Majorana(idx)
self.assertEqual(X, op)
def test_IndexSum_edgelimits(self):
for i in range(self.L):
with self.subTest(ind=i):
d = do.IndexSum(do.Sigmay(L=self.L), min_i=i, max_i=i)
n = np_sigmay(i, self.L)
r, msg = check_dnm_np(d, n)
self.assertTrue(r, msg=msg)
def test_length(self):
x = do.Sigmax()
y = do.Sigmay()
x.L = 1
y.L = 2
with self.assertRaises(ValueError):
x + y
def test_IndexSum_limits(self):
for low, high in [(1, 1), (1, 3), (0, 3), (0, 0)]:
with self.subTest(low=low, high=high):
d = do.Sigmay(L=self.L)
d = do.IndexSum(d, min_i=low, max_i=high)
n = np_sigmay(low, self.L)
for i in range(low + 1, high + 1):
n += np_sigmay(i, self.L)
r, msg = check_dnm_np(d, n)
self.assertTrue(r, msg=msg)
def test_commutator(self):
self.assertEqual(commutator(do.Sigmax(), do.Sigmay()),
2j * do.Sigmaz())
def test_IndexSum_exceptions(self):
for low, high in [(1, 0), (0, self.L + 1), (-1, 0)]:
with self.subTest(low=low, high=high):
d = do.Sigmay(L=self.L)
with self.assertRaises(ValueError):
do.IndexSum(d, min_i=low, max_i=high)