def test_normalize():
source = np.matrix(test_matrices[0][0])
target = np.matrix(test_matrices[0][1])
norm = mc.normalize(source)
assert np.array_equal(norm, target)
def test_normalize_sparse():
source = csc_matrix(test_matrices[0][0])
target = np.matrix(test_matrices[0][1])
norm = mc.normalize(source).todense()
assert np.array_equal(norm, target)
def test_iterate_sparse():
source = csc_matrix(test_matrices[6][0])
target = np.matrix(test_matrices[6][1])
iterated = mc.normalize(mc.iterate(source, 2, 2)).todense()
assert np.array_equal(np.round(iterated, 4), np.round(target, 4))
