o \i)@sdZddlZddlZddlZddlZddlZddlZddlZejZ Gddde Z Gddde Z Gddde Z Gd d d e Zdd dZdS)zb Fast cryptographic hash of Python objects, with a special case for fast hashing of numpy arrays. Nc@eZdZdZddZdS)_ConsistentSetz\Class used to ensure the hash of Sets is preserved whatever the order of its items. c Cs@zt||_WdSttjfytdd|D|_YdSw)Ncss|]}t|VqdSNhash).0er o/var/www/www-root/data/www/176.119.141.140/sports-predictor/venv/lib/python3.10/site-packages/joblib/hashing.py %sz*_ConsistentSet.__init__..)sorted _sequence TypeErrordecimalInvalidOperation)self set_sequencer r r __init__s z_ConsistentSet.__init__N__name__ __module__ __qualname____doc__rr r r r rs rc@r)_MyHashz5Class used to hash objects that won't normally picklecGs ||_dSr)args)rrr r r r+s z_MyHash.__init__Nrr r r r r(s rc@seZdZdZdddZdddZdd Zd d Zd ej fd dZ e j Z e e ee<e e ee<e e ee <e e eej<ddZddZee ee<d S)HasherzA subclass of pickler, to do cryptographic hashing, rather than pickling. This is used to produce a unique hash of the given Python object that is not necessarily cryptographically secure. md5cCs4t|_d}tj||j|dtj|dd|_dS)N)protocolF)usedforsecurity)ioBytesIOstreamPicklerrhashlibnew_hash)r hash_namerr r r r5s zHasher.__init__Tc Cslz||Wntjy!}z |jd||ff7_d}~ww|j}|j||r4|jSdS)Nz"PicklingError while hashing %r: %r) dumppickle PicklingErrorrr"getvaluer&update hexdigest)robj return_digestrdumpsr r r r>s   z Hasher.hashcCst|tjtijfr>t|dr|jj}n|j}|j}t|tt ur*t ||j}n|dur4t ||}n |jj }t |||}t ||dS)N__func__) isinstancetypes MethodTypetypepophasattrr1r__self__r)r __class__r#save)rr. func_nameinstclsr r r r:Is    z Hasher.savecCs"t|ttfr dSt||dSr)r2bytesstrr#memoize)rr.r r r r@\szHasher.memoizeNcCst||d}|d=z tj||fi|WdStjyTtj||fi|t|dd}|dkrN|}|dur;|j}tj|}t ||sQt |||YdSYdSYdSw)N)namepackrBr__main__) dictr# save_globalr)r*getattrrsysmodulesr7setattr)rr.rArBkwargsmodulemy_namemodr r r rEgs"    zHasher.save_globalc Gs^ztj|tt|g|RWdSty.tj|ttdd|Dg|RYdSw)Ncss |] \}}t||fVqdSrr)rkvr r r r sz)Hasher._batch_setitems..)r#_batch_setitemsiterr r)ritemsrr r r rPs" zHasher._batch_setitemscCst|t|dSr)r#r:r)r set_itemsr r r save_setszHasher.save_set)r)T)rrrrrrr:r@structrBrEr#dispatchcopyr5lenobjectr)r(rPrTsetr r r r r/s       rc@s"eZdZdZd ddZddZdS) NumpyHasherz1Special case the hasher for when numpy is loaded.rFcCsB||_tj||dddl}||_t|dr|j|_dSt|_dS)z Parameters ---------- hash_name: string The hash algorithm to be used coerce_mmap: boolean Make no difference between np.memmap and np.ndarray objects. r'rN getbuffer) coerce_mmaprrnumpynpr7r] _getbuffer memoryview)rr'r^r`r r r rs    zNumpyHasher.__init__cCst||jjrT|jjsT|jdkr|}n|jjr|}n |jj r$|j }n|}|j | ||jj|jrEt||jjrE|jj}n|j}|d|j|j|jff}nt||jjro|j dd|j t|dSt||dS)zSubclass the save method, to hash ndarray subclass, rather than pickling them. Off course, this is a total abuse of the Pickler class. r HASHED _HASHED_DTYPEzutf-8N)r2r`ndarraydtype hasobjectshapeflattenflags c_contiguous f_contiguousTr&r,raviewuint8r^memmapr9stridesencoder)r0rr:)rr.obj_c_contiguousklassr r r r:s$   zNumpyHasher.saveNrF)rrrrrr:r r r r r[s  r[rFcCsHd}||vrtd||dtjvrt||d}nt|d}||S)aIQuick calculation of a hash to identify uniquely Python objects containing numpy arrays. Parameters ---------- hash_name: 'md5' or 'sha1' Hashing algorithm used. sha1 is supposedly safer, but md5 is faster. coerce_mmap: boolean Make no difference between np.memmap and np.ndarray )rsha1zAValid options for 'hash_name' are {}. Got hash_name={!r} instead.r_)r'r^r\) ValueErrorformatrGrHr[rr)r.r'r^valid_hash_nameshasherr r r rs    rru)rrr$r r)rUrGr3_Picklerr#rYrrrr[rr r r r s oY