(self)
| 685 | assert_equal(actual, desired) |
| 686 | |
| 687 | def test_shuffle(self): |
| 688 | # Test lists, arrays (of various dtypes), and multidimensional versions |
| 689 | # of both, c-contiguous or not: |
| 690 | for conv in [lambda x: np.array([]), |
| 691 | lambda x: x, |
| 692 | lambda x: np.asarray(x).astype(np.int8), |
| 693 | lambda x: np.asarray(x).astype(np.float32), |
| 694 | lambda x: np.asarray(x).astype(np.complex64), |
| 695 | lambda x: np.asarray(x).astype(object), |
| 696 | lambda x: [(i, i) for i in x], |
| 697 | lambda x: np.asarray([[i, i] for i in x]), |
| 698 | lambda x: np.vstack([x, x]).T, |
| 699 | # gh-11442 |
| 700 | lambda x: (np.asarray([(i, i) for i in x], |
| 701 | [("a", int), ("b", int)]) |
| 702 | .view(np.recarray)), |
| 703 | # gh-4270 |
| 704 | lambda x: np.asarray([(i, i) for i in x], |
| 705 | [("a", object, (1,)), |
| 706 | ("b", np.int32, (1,))])]: |
| 707 | rng = random.RandomState(self.seed) |
| 708 | alist = conv([1, 2, 3, 4, 5, 6, 7, 8, 9, 0]) |
| 709 | rng.shuffle(alist) |
| 710 | actual = alist |
| 711 | desired = conv([0, 1, 9, 6, 2, 4, 5, 8, 7, 3]) |
| 712 | assert_array_equal(actual, desired) |
| 713 | |
| 714 | def test_shuffle_masked(self): |
| 715 | # gh-3263 |
nothing calls this directly
no test coverage detected