£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 numpy as np np.sin(1) np.sin([1, 2, 3]) np.sin(1, out=np.empty(1)) np.matmul(np.ones((2, 2, 2)), np.ones((2, 2, 2)), axes=[(0, 1), (0, 1), (0, 1)]) np.sin(1, signature="D->D") np.sin(1, extobj=[16, 1, lambda: None]) # NOTE: `np.generic` subclasses are not guaranteed to support addition; # re-enable this we can infer the exact return type of `np.sin(...)`. # # np.sin(1) + np.sin(1) np.sin.types[0] np.sin.__name__ np.sin.__doc__ np.abs(np.array([1]))