def test_copy():
# make sure the vectors are copied and each have their own copy of
# the data
mv = MultiVector()
mv[Multiindex([1, 2, 3])] = FlatVector([3, 4, 5])
mv[Multiindex([1, 2, 4])] = FlatVector([3, 4, 7])
assert_equal(mv[Multiindex([1, 2, 3])], FlatVector([3, 4, 5]))
assert_equal(mv[Multiindex([1, 2, 4])], FlatVector([3, 4, 7]))
mv2 = mv.copy()
mv[Multiindex([1, 2, 3])].coeffs[2] = 8
assert_equal(mv2[Multiindex([1, 2, 3])], FlatVector([3, 4, 5]))
assert_equal(mv2[Multiindex([1, 2, 4])], FlatVector([3, 4, 7]))
assert_equal(mv[Multiindex([1, 2, 3])], FlatVector([3, 4, 8]))
def evaluate_operator_matrix(op):
"""Evaluate matrix representation of operator"""
N = op.dim
A = np.matrix(np.zeros((N, N)))
e = FlatVector(np.zeros((N,)))
T = time.time()
for i in range(N):
dt = time.time() - T
if dt > 1:
print "\t%i of %i (dt=%s)" % (i, N, dt)
T = time.time()
e.coeffs[i] = 1
A[:, i] = op.apply(e).coeffs[:, None]
e.coeffs[i] = 0
return A
