£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 collections.abc import Iterable from typing import Any, TypeVar, Union, overload, Literal from numpy import ndarray from numpy._typing import DTypeLike, _SupportsArrayFunc _ArrayType = TypeVar("_ArrayType", bound=ndarray[Any, Any]) _Requirements = Literal[ "C", "C_CONTIGUOUS", "CONTIGUOUS", "F", "F_CONTIGUOUS", "FORTRAN", "A", "ALIGNED", "W", "WRITEABLE", "O", "OWNDATA" ] _E = Literal["E", "ENSUREARRAY"] _RequirementsWithE = Union[_Requirements, _E] @overload def require( a: _ArrayType, dtype: None = ..., requirements: None | _Requirements | Iterable[_Requirements] = ..., *, like: _SupportsArrayFunc = ... ) -> _ArrayType: ... @overload def require( a: object, dtype: DTypeLike = ..., requirements: _E | Iterable[_RequirementsWithE] = ..., *, like: _SupportsArrayFunc = ... ) -> ndarray[Any, Any]: ... @overload def require( a: object, dtype: DTypeLike = ..., requirements: None | _Requirements | Iterable[_Requirements] = ..., *, like: _SupportsArrayFunc = ... ) -> ndarray[Any, Any]: ...