def test_chop_inplace_dop(self):
a = qu.qu([1, 0.1], 'dop')
qu.chop(a, tol=0.11, inplace=True)
assert_allclose(a, qu.qu([1, 0], 'dop'))
a = qu.qu([1, 0.1], 'dop', sparse=True)
qu.chop(a, tol=0.11, inplace=True)
b = qu.qu([1, 0.0], 'dop', sparse=True)
assert ((a != b).nnz == 0)
def test_chop_inplace(self):
a = qu.qu([-1j, 0.1 + 0.2j])
qu.chop(a, tol=0.11, inplace=True)
assert_allclose(a, qu.qu([-1j, 0.2j]))
# Sparse
a = qu.qu([-1j, 0.1 + 0.2j], sparse=True)
qu.chop(a, tol=0.11, inplace=True)
b = qu.qu([-1j, 0.2j], sparse=True)
assert ((a != b).nnz == 0)
def test_chop_copy(self):
a = qu.qu([-1j, 0.1 + 0.2j])
b = qu.chop(a, tol=0.11, inplace=False)
assert_allclose(a, qu.qu([-1j, 0.1 + 0.2j]))
assert_allclose(b, qu.qu([-1j, 0.2j]))
# Sparse
a = qu.qu([-1j, 0.1 + 0.2j], sparse=True)
b = qu.chop(a, tol=0.11, inplace=False)
ao = qu.qu([-1j, 0.1 + 0.2j], sparse=True)
bo = qu.qu([-1j, 0.2j], sparse=True)
assert ((a != ao).nnz == 0)
assert ((b != bo).nnz == 0)
def test_thermal_state_hot(self):
full = rand_herm(2**4)
rhoth = chop(thermal_state(full, 0.0))
assert_allclose(rhoth, eye(2**4) / 2**4)
def test_rand_uni(self):
u = rand_uni(3)
assert u.shape == (3, 3)
assert type(u) == np.matrix
assert_allclose(eye(3), chop(u @ u.H, inplace=False))
assert_allclose(eye(3), chop(u.H @ u, inplace=False))