£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 numpy.core.fromnumeric import ( amin, amax, argmin, argmax, sum, prod, cumsum, cumprod, mean, var, std ) from numpy.lib.function_base import ( median, percentile, quantile, ) __all__: list[str] # NOTE: In reaility these functions are not aliases but distinct functions # with identical signatures. nanmin = amin nanmax = amax nanargmin = argmin nanargmax = argmax nansum = sum nanprod = prod nancumsum = cumsum nancumprod = cumprod nanmean = mean nanvar = var nanstd = std nanmedian = median nanpercentile = percentile nanquantile = quantile