£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, TypeVar import numpy as np import numpy.typing as npt def func1(ar: npt.NDArray[Any], a: int) -> npt.NDArray[np.str_]: pass def func2(ar: npt.NDArray[Any], a: float) -> float: pass AR_b: npt.NDArray[np.bool_] AR_m: npt.NDArray[np.timedelta64] AR_LIKE_b: list[bool] np.eye(10, M=20.0) # E: No overload variant np.eye(10, k=2.5, dtype=int) # E: No overload variant np.diag(AR_b, k=0.5) # E: No overload variant np.diagflat(AR_b, k=0.5) # E: No overload variant np.tri(10, M=20.0) # E: No overload variant np.tri(10, k=2.5, dtype=int) # E: No overload variant np.tril(AR_b, k=0.5) # E: No overload variant np.triu(AR_b, k=0.5) # E: No overload variant np.vander(AR_m) # E: incompatible type np.histogram2d(AR_m) # E: No overload variant np.mask_indices(10, func1) # E: incompatible type np.mask_indices(10, func2, 10.5) # E: incompatible type