7ThrSSKrSSKJr SSKJrJr 0r"SS5r"SS\5rSr S r S r S S jr g) N)partial)dumpsloadsc*\rSrSrSSjrSrSrSrg)CloudpickledObjectWrapper cXlX lgN_obj _keep_wrapper)selfobj keep_wrappers a/var/www/auris/envauris/lib/python3.13/site-packages/joblib/externals/loky/cloudpickle_wrapper.py__init__"CloudpickledObjectWrapper.__init__ s  )c[UR5nUR(d [U44$[XR44$r )rr r r_reconstruct_wrapper)r_pickled_objects r __reduce__$CloudpickledObjectWrapper.__reduce__s; *!!?,, ,#o7I7I%JJJrcPUS;a[URU5$[X5$)Nr )getattrr )rattrs r __getattr__%CloudpickledObjectWrapper.__getattr__s) 0 0499d+ +t""rr r N)F)__name__ __module__ __qualname____firstlineno__rrr__static_attributes__rrrr s*K#rrc\rSrSrSrSrg)CallableObjectWrapperc&UR"U0UD6$r )r )rargskwargss r__call__CallableObjectWrapper.__call__syy$)&))rr%N)r r!r"r#r,r$r%rrr'r's*rr'cF[U5(a [XS9$[XS9$)Nr)callabler'r)rrs r_wrap_non_picklable_objectsr1#s!}}$SDD $S DDrc.[U5n[X!5$r )rr1)rrrs rrr)s  C &s 99rc nS[USS5;n[U[5(a}[[UR5/UR Vs/sHn[U5PM snQ70UR R5VVs0sHup4U[U5_M snnD6$[U5(aC[USS5nU[USS5[R--n[USS5nUSU;-nU(dU$[RU5nUc[US S 9nU[U'U$s snfs snnf) N__main__r!__code__co_flagsrr zFr/)r isinstancer_wrap_objects_when_neededfuncr*keywordsitemsr0inspect CO_NESTED WRAP_CACHEgetr1)r need_wrapakv func_code func_name wrapped_objs rr9r9.s3gc<<s D, D1c^^[R"T5(a&"UU4SjS[5nTRUlU$[ TTS9$)aWrapper for non-picklable object to use cloudpickle to serialize them. Note that this wrapper tends to slow down the serialization process as it is done with cloudpickle which is typically slower compared to pickle. The proper way to solve serialization issues is to avoid defining functions and objects in the main scripts and to implement __reduce__ functions for complex classes. c$>\rSrSrUU4SjrSrg).CloudpickledClassWrapper\c.>T"U0UD6UlTUlgr r )rr*r+rrs rrEwrap_non_picklable_objects..CloudpickledClassWrapper.__init__]s00 %1"rrN)r r!r"r#rr$)rrsrCloudpickledClassWrapperrJ\s  2 2rrNr/)r=isclassrr r1)rrrNs`` rwrap_non_picklable_objectsrPOsJs 2 2'@ 2 -0LL )'' 's FFr)T) r= functoolsrjoblib.externals.cloudpicklerrr?rr'r1rr9rPr%rrrSsC5 ##**5* E : BGr