£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 Callable from typing import Any import numpy as np AR: np.ndarray[Any, Any] func_float: Callable[[np.floating[Any]], str] func_int: Callable[[np.integer[Any]], str] reveal_type(np.get_printoptions()) # E: TypedDict reveal_type(np.array2string( # E: str AR, formatter={'float_kind': func_float, 'int_kind': func_int} )) reveal_type(np.format_float_scientific(1.0)) # E: str reveal_type(np.format_float_positional(1)) # E: str reveal_type(np.array_repr(AR)) # E: str reveal_type(np.array_str(AR)) # E: str reveal_type(np.printoptions()) # E: contextlib._GeneratorContextManager with np.printoptions() as dct: reveal_type(dct) # E: TypedDict