(self)
| 1743 | self.assertEqual(x.tolist(), carray(items, [3, 4])) |
| 1744 | |
| 1745 | def test_ndarray_slice_multidim(self): |
| 1746 | shape_t = (2, 3, 5) |
| 1747 | ndim = len(shape_t) |
| 1748 | nitems = prod(shape_t) |
| 1749 | for shape in permutations(shape_t): |
| 1750 | |
| 1751 | fmt, items, _ = randitems(nitems) |
| 1752 | itemsize = struct.calcsize(fmt) |
| 1753 | |
| 1754 | for flags in (0, ND_PIL): |
| 1755 | nd = ndarray(items, shape=shape, format=fmt, flags=flags) |
| 1756 | lst = carray(items, shape) |
| 1757 | |
| 1758 | for slices in rslices_ndim(ndim, shape): |
| 1759 | |
| 1760 | listerr = None |
| 1761 | try: |
| 1762 | sliced = multislice(lst, slices) |
| 1763 | except Exception as e: |
| 1764 | listerr = e.__class__ |
| 1765 | |
| 1766 | nderr = None |
| 1767 | try: |
| 1768 | ndsliced = nd[slices] |
| 1769 | except Exception as e: |
| 1770 | nderr = e.__class__ |
| 1771 | |
| 1772 | if nderr or listerr: |
| 1773 | self.assertIs(nderr, listerr) |
| 1774 | else: |
| 1775 | self.assertEqual(ndsliced.tolist(), sliced) |
| 1776 | |
| 1777 | def test_ndarray_slice_redundant_suboffsets(self): |
| 1778 | shape_t = (2, 3, 5, 2) |
nothing calls this directly
no test coverage detected