grthtrhthjhtyjytjytkergtrhtrjytjerhrfh4:24 29/09/2026+ p]s:0,bRt^RIt^RIt^RIHt!RR]4t]t.ROtRt ]P] ] ] ]]]]]]]]]]P.]P0]P2]P4]P6]P8]0t]] ]!]"0t#R.3Rlt$]P]P0]P2] ] ] ]]]]P6]]]P.]P4]P8]0t%/;t&t']$3Rlt(](]']&]$3R lt)])]']&]$3R lt*]*]'] &R t+]+]']PX&A'R t-RR]$/R llt.AARt/R#)a9Generic (shallow and deep) copying operations. Interface summary: import copy x = copy.copy(y) # make a shallow copy of y x = copy.deepcopy(y) # make a deep copy of y x = copy.replace(y, a=1, b=2) # new object with fields replaced, as defined by `__replace__` For module specific errors, copy.Error is raised. The difference between shallow and deep copying is only relevant for compound objects (objects that contain other objects, like lists or class instances). - A shallow copy constructs a new compound object and then (to the extent possible) inserts *the same objects* into it that the original contains. - A deep copy constructs a new compound object and then, recursively, inserts *copies* into it of the objects found in the original. Two problems often exist with deep copy operations that don't exist with shallow copy operations: a) recursive objects (compound objects that, directly or indirectly, contain a reference to themselves) may cause a recursive loop b) because deep copy copies *everything* it may copy too much, e.g. administrative data structures that should be shared even between copies Python's deep copy operation avoids these problems by: a) keeping a table of objects already copied during the current copying pass b) letting user-defined classes override the copying operation or the set of components copied This version does not copy types like module, class, function, method, nor stack trace, stack frame, nor file, socket, window, nor any similar types. Classes can use the same interfaces to control copying that they use to control pickling: they can define methods called __getinitargs__(), __getstate__() and __setstate__(). See the documentation for module "pickle" for information on these methods. N)dispatch_tablec]tRt^8tRtR#)ErrorN)__name__ __module__ __qualname____firstlineno____static_attributes__r+/opt/alt/python314/lib64/python3.14/copy.pyrr8sr rdeepcopyc\V4pV\9dV#V\9dVPV4#\ V\4'dV#\ VRR4pVe V!V4#\ P!V4pVe V!V4pMI\ VRR4pVe V!^4pM/\ VRR4pV'd V!4pM\RV,4h\V\4'dV#\VR.VO5!#)zdShallow copy operation on arbitrary Python objects. See the module's __doc__ string for more info. __copy__N __reduce_ex__ __reduce__z%un(shallow)copyable object of type %s) type_copy_atomic_types_copy_builtin_containerscopy issubclassgetattrrgetr isinstancestr _reconstruct)xclscopierreductorrvs& r rr>s q'C    &&xx{#t S*d +F ay!!#&H a[1ot4  !Bq,5HZCcIJJ"c 4 %" %%r c\V4pV\9dV#\V4pVf/pMVPWB4pWRJdV#\PV4pVe V!W4pM\ V\4'dTpM\ VRR4pVe V!V4pM\P!V4pV'd V!V4pMI\ VRR4pVe V!^4pM/\ VRR4pV'd V!4pM\RV,4h\V\4'dTpM \W.VO5!pWPJdWQV&\W4V#)zaDeep copy operation on arbitrary Python objects. See the module's __doc__ string for more info. N __deepcopy__rrz"un(deep)copyable object of type %s) r _atomic_typesidr_deepcopy_dispatchrrrrrrr _keep_alive) rmemo_nilrdyrrr s &&& r r r ns7 q'C m 1A | HHQ  =H  # #C (F  1O c4 AQ5F!4L)--c2!!B&q/4@H+%a[#*1lD#A#!)B"' Ds J#LLb#&&A$Q2r2A zQA Hr cj.pW1\V4&VPpVFpV!V!WQ44K V#N)r$append)rr'r r*r-as&&& r _deepcopy_listr/s7 AAK XXF x ! Hr cVUu.uF q2!W14NK ppV\V4,#uupi \dMi;i\Y4FwrVYVJgK \T4pT# TpT#r,)r$KeyErrorziptuple)rr'r r.r*kjs&&& r _deepcopy_tupler6s{$%&Aq! AA& BqE{ '    A  :aA  H   Hs*/ ==cv/pW1\V4&VP4FwrEV!WQ4W2!WA4&K V#r,)r$items)rr'r r*keyvalues&&& r _deepcopy_dictr;s= AAKggi !)%!6(3  Hr cb\V4!VP\VPV44#r,)r__func__r __self__rr's&&r _deepcopy_methodr@s" 71::x D9 ::r cV\V4,PV4R# \dT.T\T4&R#i;i)a1Keeps a reference to the object x in the memo. Because we remember objects by their id, we have to assure that possibly temporary objects are kept alive by referencing them. We store a reference at the id of the memo, which should normally not be used unless someone tries to deepcopy the memo itself... N)r$r-r1r?s&&r r&r&s; RXa sRXs!%AAcaaSRJpV'dV'dVV3RlV4pV!V!p V'dV S\V4&VeV'd S!VS4p\V R4'dV PV4Mu\V\4'd\ V4^8XdVwrJMRp VeV P PV4V e&V P4Fwr\WV 4K VeGV'd%VFp S!V S4p V PV 4K MVFp V PV 4K Ve;V'd$VFwrS!V S4p S!V S4p WV &K V #VF wrWV &K V #)Nc36<"TFpS!VS4xK R#5ir,r).0argr r's& r _reconstruct..s4td##ts __setstate__) r$hasattrrHrr3len__dict__updater8setattrr-)rr'funcargsstatelistiterdictiterr deepr* slotstater9r:items&f&&&&&d r rrs^ t D 4t4 d A RU   UD)E 1n % % NN5 !%''CJ!O#( y   !!%($"+//"3JCAE*#4  d+!!! & sD) -#' H' #' Hr c VPp\VRR4pVf\RVP R24hV!V3/VB#)zReturn a new object replacing specified fields with new values. This is especially useful for immutable objects, like named tuples or frozen dataclasses. __replace__Nzreplace() does not support z objects) __class__r TypeErrorr)objchangesrrNs", r replacer\sI --C 3 t ,D |5cll^8LMM  w r )rrr r\)NNN)0__doc__typesweakrefcopyregr Exceptionrerror__all__rNoneTypeintfloatboolcomplexrr3bytes frozensetrrangeslicepropertyBuiltinFunctionType EllipsisTypeNotImplementedType FunctionTypeCodeTyperefsuperrlistdictset bytearrayrr r#r%r)r/r6r;r@ MethodTyper&rr\rr r rzsy1f " I   2&&Rnnc5$e D%  # #U%7%7  " "E$6$6 ++u  !$Y75 n..%"4"4e6N6N udGUCu  # #U%7%7hP Q&.  $&.  %%- $;&% + %+ Z 7  r