def test_sort_1D(self):
l = [np.array([i for i in range(9)])]
Labels.check(l)
l[0][[0, 1]] = l[0][[1, 0]]
assert_raise(Labels.check, l, 'not sorted')
l.append(np.array([i for i in range(9)]))
assert_raise(Labels.check, l, 'not sorted')
l[0][[1, 0]] = l[0][[0, 1]]
Labels.check(l)
def test_sort_1D(self):
list_1d = [np.array([i for i in range(9)])]
Labels.check(list_1d)
list_1d[0][[0, 1]] = list_1d[0][[1, 0]]
assert_raise(Labels.check, list_1d, 'not sorted')
list_1d.append(np.array([i for i in range(9)]))
assert_raise(Labels.check, list_1d, 'not sorted')
list_1d[0][[1, 0]] = list_1d[0][[0, 1]]
Labels.check(list_1d)
def test_sorted_2D(self):
# dont use generate.labels to ensure 2 elements.
l = [
np.array([[0., 1.], [0.33333333, 1.33333333],
[0.66666667, 1.66666667], [1., 2.]]),
np.array([[0., 1.], [1., 2.]])
]
# sorted, pass
Labels.check(l)
# unsorted, fails
l[0][[0, 1], :] = l[0][[1, 0], :]
assert_raise(Labels.check, l, 'not sorted')
def test_sorted_2D(self):
# dont use generate.labels to ensure 2 elements.
list_2d = [
np.array([[0., 1.],
[0.33333333, 1.33333333],
[0.66666667, 1.66666667],
[1., 2.]]),
np.array([[0., 1.],
[1., 2.]])]
# sorted, pass
Labels.check(list_2d)
# unsorted, fails
list_2d[0][[0, 1], :] = list_2d[0][[1, 0], :]
assert_raise(Labels.check, list_2d, 'not sorted')