o Ô2úh,ã@sHdZddlZddlZGdd„deƒZGdd„deƒZGdd„deƒZdS) zCaching utilities.éNc@s<eZdZdZdZdd„Zdd„Zdd„Zd d „Zdd„Z d S)Ú_TransformedFnCachea5Generic hierarchical cache for transformed functions. The keys are soft references (i.e. they are discarded when the key is destroyed) created from the source function by `_get_key`. The subkeys are strong references and can be any value. Typically they identify different kinds of transformation. )Ú_cachecCst ¡|_dS©N)ÚweakrefÚWeakKeyDictionaryr©Úself©r úa/var/www/html/chatgem/venv/lib/python3.10/site-packages/tensorflow/python/autograph/pyct/cache.pyÚ__init__!sz_TransformedFnCache.__init__cCstdƒ‚)Nzsubclasses must override)ÚNotImplementedError©rÚentityr r r Ú_get_key$sz_TransformedFnCache._get_keycCs,| |¡}|j |d¡}|durdS||vS)NF©rrÚget)rrÚsubkeyÚkeyÚparentr r r Úhas's z_TransformedFnCache.hascCs2| |¡}|j |d¡}|duri|j|<}|Srr)rrrrr r r Ú__getitem__.s z_TransformedFnCache.__getitem__cCs t|jƒSr)Úlenrrr r r Ú__len__7s z_TransformedFnCache.__len__N) Ú__name__Ú __module__Ú__qualname__Ú__doc__Ú __slots__rrrrrr r r r rs rc@óeZdZdZdd„ZdS)ÚCodeObjectCachea@A function cache based on code objects. Code objects are good proxies for the source code of a function. This cache efficiently handles functions that share code objects, such as functions defined in a loop, bound methods, etc. The cache falls back to the function object, if it doesn't have a code object. cCst|dƒr|jS|S)NÚ__code__)Úhasattrr r r r r rFs zCodeObjectCache._get_keyN©rrrrrr r r r r;ó rc@r)ÚUnboundInstanceCacheaHA function cache based on unbound function objects. Using the function for the cache key allows efficient handling of object methods. Unlike the _CodeObjectCache, this discriminates between different functions even if they have the same code. This is needed for decorators that may masquerade as another function. cCst |¡r|jS|Sr)ÚinspectÚismethodÚ__func__r r r r rXs zUnboundInstanceCache._get_keyNr"r r r r r$Mr#r$)rr%rÚobjectrrr$r r r r Ús%