(self)
| 820 | assert_equal(np.unique(all_nans, return_counts=True), (ua, ua_cnt)) |
| 821 | |
| 822 | def test_unique_zero_sized(self): |
| 823 | # test for zero-sized arrays |
| 824 | types = self.get_types() |
| 825 | types.extend('SU') |
| 826 | for dt in types: |
| 827 | a = np.array([], dt) |
| 828 | b = np.array([], dt) |
| 829 | i1 = np.array([], np.int64) |
| 830 | i2 = np.array([], np.int64) |
| 831 | c = np.array([], np.int64) |
| 832 | self.check_all(a, b, i1, i2, c, dt) |
| 833 | |
| 834 | def test_unique_subclass(self): |
| 835 | class Subclass(np.ndarray): |