£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 !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! #!/usr/bin/env python # # Author: Mike McKerns (mmckerns @caltech and @uqfoundation) # Copyright (c) 2008-2016 California Institute of Technology. # Copyright (c) 2016-2023 The Uncertainty Quantification Foundation. # License: 3-clause BSD. The full license text is available at: # - https://github.com/uqfoundation/dill/blob/master/LICENSE """ all Python Standard Library object types (currently: CH 1-15 @ 2.7) and some other common object types (i.e. numpy.ndarray) to load more objects and types, use dill.load_types() """ # non-local import of dill.objects from dill import objects for _type in objects.keys(): exec("%s = type(objects['%s'])" % (_type,_type)) del objects try: del _type except NameError: pass