£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( "obj, axis, expected", [ ([0, 0], -1, [0, 1]), ([0, 1, 0], -1, [1, 0, 2]), ([[0, 1], [1, 1]], 0, [[1, 0], [0, 1]]), ([[0, 1], [1, 1]], 1, [[1, 0], [0, 1]]), ], ) def test_stable_desc_argsort(obj, axis, expected): """ Indices respect relative order of a descending stable-sort See https://github.com/numpy/numpy/issues/20778 """ x = xp.asarray(obj) out = xp.argsort(x, axis=axis, stable=True, descending=True) assert xp.all(out == xp.asarray(expected))