BVh, ZdZddlZddlZGddeZGddeZGddeZy) zCaching utilities.Nc2eZdZdZdZdZdZdZdZdZ y) _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. )_cachec6tj|_yN)weakrefWeakKeyDictionaryrselfs V/home/dcms/DCMS/lib/python3.12/site-packages/tensorflow/python/autograph/pyct/cache.py__init__z_TransformedFnCache.__init__!s++-DKctd)Nzsubclasses must override)NotImplementedErrorr entitys r _get_keyz_TransformedFnCache._get_key$s 8 99rcj|j|}|jj|d}|y||vS)NFrrget)r rsubkeykeyparents r hasz_TransformedFnCache.has's7 -- C [[__S$ 'F ~  V rc|j|}|jj|d}|ix|j|<}|Srr)r rrrs r __getitem__z_TransformedFnCache.__getitem__.sC -- C [[__S$ 'F ~#%$dkk# Mrc,t|jSr)lenrr s r __len__z_TransformedFnCache.__len__7s t{{ rN) __name__ __module__ __qualname____doc__ __slots__r rrrrrr rrs').:rrceZdZdZdZy)CodeObjectCachea@A function cache based on code objects. Code objects are good proxies for the source code of a function. This cache efficiently handles functions that share code objects, such as functions defined in a loop, bound methods, etc. The cache falls back to the function object, if it doesn't have a code object. c6t|dr |jS|S)N__code__)hasattrr)rs r rzCodeObjectCache._get_keyFsvz" __ mrNr r!r"r#rr%rr r'r';s rr'ceZdZdZdZy)UnboundInstanceCacheaHA function cache based on unbound function objects. Using the function for the cache key allows efficient handling of object methods. Unlike the _CodeObjectCache, this discriminates between different functions even if they have the same code. This is needed for decorators that may masquerade as another function. cHtj|r |jS|Sr)inspectismethod__func__rs r rzUnboundInstanceCache._get_keyXs __ MrNr+r%rr r-r-Ms rr-)r#r/robjectrr'r-r%rr r3s7"&"J)$.r