£Á°èZ¨Ä…–K§‚«“ô4“ÒÙ´dîfUÙÃÅ WKbyʦ•êŽ…È®FÒ¿ÊÎóCozá¬S@6{Í:›œêZÌ:Š•_%:¢¾¾~;‘Ã~芩ÊǍí`ÔÑ©ú뙵'5I¿fš×WO%ø9¾«¾DK|€ùÍD”Ýs]nHÕ¶êםӼ㞪éUWŸÈË%DÒÕ¬ï‘]/Åcx ‰ï2ß]ä6G[]S£Ôϯrs{úëóµmÒï#UQxo·õÞCe]"±/aÙ&Eã4ú9Jé_ÞåëdãöKë)AÞ ¯¹ægƒÛowЍø^d™ý½ßB7áyMä9ÜÖUã !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! import pytest from numpy import array_api as xp @pytest.mark.parametrize( "x, indices, axis, expected", [ ([2, 3], [1, 1, 0], 0, [3, 3, 2]), ([2, 3], [1, 1, 0], -1, [3, 3, 2]), ([[2, 3]], [1], -1, [[3]]), ([[2, 3]], [0, 0], 0, [[2, 3], [2, 3]]), ], ) def test_take_function(x, indices, axis, expected): """ Indices respect relative order of a descending stable-sort See https://github.com/numpy/numpy/issues/20778 """ x = xp.asarray(x) indices = xp.asarray(indices) out = xp.take(x, indices, axis=axis) assert xp.all(out == xp.asarray(expected))