£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 !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! from typing import Any import numpy as np a: np.flatiter[np.ndarray[Any, np.dtype[np.str_]]] reveal_type(a.base) # E: ndarray[Any, dtype[str_]] reveal_type(a.copy()) # E: ndarray[Any, dtype[str_]] reveal_type(a.coords) # E: tuple[builtins.int, ...] reveal_type(a.index) # E: int reveal_type(iter(a)) # E: Any reveal_type(next(a)) # E: str_ reveal_type(a[0]) # E: str_ reveal_type(a[[0, 1, 2]]) # E: ndarray[Any, dtype[str_]] reveal_type(a[...]) # E: ndarray[Any, dtype[str_]] reveal_type(a[:]) # E: ndarray[Any, dtype[str_]] reveal_type(a[(...,)]) # E: ndarray[Any, dtype[str_]] reveal_type(a[(0,)]) # E: str_ reveal_type(a.__array__()) # E: ndarray[Any, dtype[str_]] reveal_type(a.__array__(np.dtype(np.float64))) # E: ndarray[Any, dtype[{float64}]] a[0] = "a" a[:5] = "a" a[...] = "a" a[(...,)] = "a"