U 9%e @sUdZddlZddlmZmZmZddlmZddlm Z ddZ eded efd Z Gd d d e Z e ejd dejddejddeejddeejdddZe ed<dS)zFunction cachingN)AnyCallableTypeVar)Memory) FunctionMakercCstj|dt||d|dS)Nz"return decfunc(%(shortsignature)s))Zdecfunc) __wrapped__)rcreatedict)decfuncr M/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/librosa/_cache.py_decorator_apply s  r_F.)boundc@seZdZdZeedddZeeegefdddZ eedd d d Z eeed d d Z eeed ddZ eedd ddZ eedd ddZdS) CacheManagera)The librosa cache manager class wraps joblib.Memory with a __call__ attribute, so that it may act as a function. Additionally, it provides a caching level filter, so that different functions can be cached or not depending on the user's preference for speed vs. storage usage. )argskwargscOs"|dd}t|||_||_dS)Nlevel )poprmemoryr)selfrrrr r r __init__ s  zCacheManager.__init__)rreturncsfdd}|S)z Cache with an explicitly defined level. Example usage: @cache(level=2) def semi_important_function(some_arguments): ... cs,jjdk r$jkr$tjj|S|SdS)z4Add an input/output cache to the specified function.N)rlocationrrcache)functionrrr r wrapper4sz&CacheManager.__call__..wrapperr )rrrr rr __call__)s zCacheManager.__call__N)rrrcOs|jj||dS)zClear the cacheN)rclearrrrr r r r!>szCacheManager.clearcOs|jj||S)zEvaluate a function)revalr"r r r r#BszCacheManager.evalcOs|jj||S)z0Return the formatted representation of an object)rformatr"r r r r$FszCacheManager.formatcOs|jj||dS)zReduce the size of the cacheN)r reduce_sizer"r r r r%JszCacheManager.reduce_sizecOs|jj||dS)zRaise a warningN)rwarnr"r r r r&NszCacheManager.warn)__name__ __module__ __qualname____doc__rrintrrr r!r#r$r%r&r r r r rs rZLIBROSA_CACHE_DIRZLIBROSA_CACHE_MMAPZLIBROSA_CACHE_COMPRESSFZLIBROSA_CACHE_VERBOSEZLIBROSA_CACHE_LEVELr)Z mmap_modecompressverboserr)r*ostypingrrrZjoblibr decoratorrrrobjectrenvirongetr+r__annotations__r r r r s   =