ó î–+[c@sÚdZddlZddlZddlZddlZddlZejddkrmddlZejZ nddl Z e j Z de fd„ƒYZ dej fd„ƒYZd efd „ƒYZd ed „ZdS( sb Fast cryptographic hash of Python objects, with a special case for fast hashing of numpy arrays. iÿÿÿÿNiit_ConsistentSetcBseZdZd„ZRS(sa Class used to ensure the hash of Sets is preserved whatever the order of its items. cCst|ƒ|_dS(N(tsortedt _sequence(tselft set_sequence((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyt__init__s(t__name__t __module__t__doc__R(((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyRstHashercBsÔeZdZdd„Zed„Zd„Zejddkr­d e j d„Z e jjjƒZe eeeƒtƒ|_tjj||jddƒtj|ƒ|_dS(Ntprotocoli(tStringIOtstreamtpickletPicklerRthashlibtnewt_hash(Rt hash_name((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyR's cCsC|j|ƒ|jjƒ}|jj|ƒ|r?|jjƒSdS(N(tdumpR tgetvalueRtupdatet hexdigest(Rtobjt return_digesttdumps((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pythash-s  cCsYt|tjƒrB|jj}|j}|j}|||f}ntjj ||ƒdS(N( t isinstancettypest MethodTypetim_funcRtim_selftim_classRRtsave(RRt func_nametinsttcls((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyR"4s    iicCs”t|ddƒ}|dkrn|}|dkr<|j}ntj|}t||ƒsnt|||ƒqnntjj ||d|dt j ƒdS(NRt__main__tnametpack( tgetattrtNoneRtsystmodulesthasattrtsetattrRRt save_globaltstructR((RRR'R(tmoduletmy_nametmod((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyR/As    cCs#tjj|tt|ƒƒƒdS(N(RRt_batch_setitemstiterR(Rtitems((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyR4[scCstjj|t|ƒƒdS(N(RRt save_instR(Rt set_items((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pytsave_set_sN(RRRRtTrueRR"R+t version_infoR*R0R(R/RRtdispatchtcopyttypetlentobjectRR4R9tset(((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyR "s     t NumpyHashercBs&eZdZded„Zd„ZRS(s7 Special case the hasher for when numpy is loaded. R cCs5||_tj|d|ƒddl}||_dS(s Parameters ---------- hash_name: string The hash algorithm to be used coerce_mmap: boolean Make no difference between np.memmap and np.ndarray objects. RiÿÿÿÿN(t coerce_mmapR Rtnumpytnp(RRRCRE((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyRks  cCsæt||jjƒrÒ|jj rÒy |jj|jj|ƒƒWn3tk rw|jj|jj|j ƒƒƒnX|j r¥t||jj ƒr¥|jj}n |j }|d|j|j |jff}ntj||ƒdS(s¨ Subclass the save method, to hash ndarray subclass, rather than pickling them. Off course, this is a total abuse of the Pickler class. tHASHEDN(RREtndarraytdtypet hasobjectRRt getbuffert TypeErrortflattenRCtmemmapt __class__tshapetstridesR R"(RRtklass((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyR"{s"  & $(RRRtFalseRR"(((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyRBgsR cCsCdtjkr'td|d|ƒ}ntd|ƒ}|j|ƒS(sl Quick 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 RDRRC(R+R,RBR R(RRRCthasher((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyRœs (RRRR+RR0R;tiotBytesIOR t cStringIOR@RRR RBRRR(((sV/home/psgendb/BIRCHDEV/install/quast-5.2.0/quast_libs/site_packages/joblib2/hashing.pyts         E5