python3-ramalama-0.8.2-1.el10_1$>F> DGzeg>F\M?\=d " adh     ' (|*x,/n/122$2(3 8393p:7B:&F::G:lHdX>Y>Z?D[?H\?X]AT^KxbM^dNeNfNlNtOuQvS wUxWyY\z[`[p[t[[[[[[[Cpython3-ramalama0.8.21.el10_1RamaLama is a command line tool for working with AI LLM modelsRamaLama is a command line tool for working with AI LLM models On first run RamaLama inspects your system for GPU support, falling back to CPU support if no GPUs are present. It then uses container engines like Podman to pull the appropriate OCI image with all of the software necessary to run an AI Model for your systems setup. This eliminates the need for the user to configure the system for AI themselves. After the initialization, RamaLama will run the AI Models within a container based on the OCI image.hbuildvm-a64-13.iad2.fedoraproject.org HFedora ProjectFedora ProjectMITFedora ProjectUnspecifiedhttps://github.com/containers/ramalamalinuxnoarch ,\ ``:Q:Q''yyXX[[00YYv5v5II55ii@@   WW Fp"!)^4B` P7l'[L g H8 Q3*+ 1o 2+SAA큤A큤큤A큤A큤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.8.2-1.el10_1.src.rpmpython-ramalamapython3-ramalamapython3.12-ramalamapython3.12dist(ramalama)python3dist(ramalama)ramalama@@@     /usr/bin/python3python(abi)python3.12dist(argcomplete)rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PartialHardlinkSets)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsZstd)3.123.0.4-14.6.0-14.0.4-14.0-15.4.18-14.19.1.1h@hmggg@g@gg@g_@gv@g@gQg@gE@gE@gE@gE@gE@gE@g@r@g=@g5@Packit - 0.8.2-1Packit - 0.8.0-1Packit - 0.7.4-1Packit - 0.7.2-1Packit - 0.7.1-1Packit - 0.7.0-1Packit - 0.6.4-1Packit - 0.6.3-1Packit - 0.6.2-1Packit - 0.6.1-1Packit - 0.6.0-1Stephen Smoogen - 0.5.2-1Stephen Smoogen - 0.5.0-1Stephen Smoogen - 0.2.0-7Stephen Smoogen - 0.2.0-6Stephen Smoogen - 0.2.0-5Stephen Smoogen - 0.2.0-4Stephen Smoogen - 0.2.0-3Mikel Olasagasti Uranga - 0.2.0-2Stephen Smoogen - 0.2.0-1Stephen Smoogen - 0.1.2-1Stephen Smoogen - 0.1.1-1- Update to 0.8.2 upstream release- Update to 0.8.0 upstream release- Update to 0.7.4 upstream release- Update to 0.7.2 upstream release- Update to 0.7.1 upstream release- Update to 0.7.0 upstream release- Update to 0.6.4 upstream release- Update to 0.6.3 upstream release- Update to 0.6.2 upstream release- Update to 0.6.1 upstream release- Update to 0.6.0 upstream release- Update to 0.5.2 release- Update to ramalama-0.5.0- Fix spec file to get CentOS Stream 10 building- Needed to fix to match upstream- Do manual addition of PR #4 items- Fix changes to spec file description and other items found in review- Incorporate upstream PR- Switch to go-md2man instead of full name- Update to 0.2.0- Update to 0.1.2 and fix bugzilla issues.- Initial pull of packagepython3.12-ramalamabuildvm-a64-13.iad2.fedoraproject.org 1746536576 !!##%%''))++--//1133557799;;==??ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~0.8.2-1.el10_10.8.2-1.el10_10.8.2-1.el10_10.8.20.8.20.8.2-1.el10_1@0.8.2-1.el10_1 ramalamaramalamaramalama-0.8.2.dist-infoINSTALLERLICENSEMETADATAWHEELtop_level.txt__init__.py__pycache____init__.cpython-312.opt-1.pyc__init__.cpython-312.pycannotations.cpython-312.opt-1.pycannotations.cpython-312.pyccli.cpython-312.opt-1.pyccli.cpython-312.pyccommon.cpython-312.opt-1.pyccommon.cpython-312.pycconfig.cpython-312.opt-1.pycconfig.cpython-312.pycconsole.cpython-312.opt-1.pycconsole.cpython-312.pycengine.cpython-312.opt-1.pycengine.cpython-312.pycfile.cpython-312.opt-1.pycfile.cpython-312.pycgguf_parser.cpython-312.opt-1.pycgguf_parser.cpython-312.pycgo2jinja.cpython-312.opt-1.pycgo2jinja.cpython-312.pychttp_client.cpython-312.opt-1.pychttp_client.cpython-312.pychuggingface.cpython-312.opt-1.pychuggingface.cpython-312.pyckube.cpython-312.opt-1.pyckube.cpython-312.pycmigrate.cpython-312.opt-1.pycmigrate.cpython-312.pycmodel.cpython-312.opt-1.pycmodel.cpython-312.pycmodel_factory.cpython-312.opt-1.pycmodel_factory.cpython-312.pycmodel_inspect.cpython-312.opt-1.pycmodel_inspect.cpython-312.pycmodel_store.cpython-312.opt-1.pycmodel_store.cpython-312.pycoci.cpython-312.opt-1.pycoci.cpython-312.pycollama.cpython-312.opt-1.pycollama.cpython-312.pycollama_repo_utils.cpython-312.opt-1.pycollama_repo_utils.cpython-312.pycquadlet.cpython-312.opt-1.pycquadlet.cpython-312.pycrag.cpython-312.opt-1.pycrag.cpython-312.pycshortnames.cpython-312.opt-1.pycshortnames.cpython-312.pyctoml_parser.cpython-312.opt-1.pyctoml_parser.cpython-312.pycurl.cpython-312.opt-1.pycurl.cpython-312.pycversion.cpython-312.opt-1.pycversion.cpython-312.pycannotations.pycli.pycommon.pyconfig.pyconsole.pyengine.pyfile.pygguf_parser.pygo2jinja.pyhttp_client.pyhuggingface.pykube.pymigrate.pymodel.pymodel_factory.pymodel_inspect.pymodel_store.pyoci.pyollama.pyollama_repo_utils.pyquadlet.pyrag.pyshortnames.pytoml_parser.pyurl.pyversion.pyramalama-client-coreramalama-run-coreramalama-serve-coreramalamapython3-ramalamaREADME.mdramalama.fishramalama-bench.1.gzramalama-client.1.gzramalama-containers.1.gzramalama-convert.1.gzramalama-info.1.gzramalama-inspect.1.gzramalama-list.1.gzramalama-login.1.gzramalama-logout.1.gzramalama-ls.1.gzramalama-perplexity.1.gzramalama-ps.1.gzramalama-pull.1.gzramalama-push.1.gzramalama-rag.1.gzramalama-rm.1.gzramalama-run.1.gzramalama-serve.1.gzramalama-stop.1.gzramalama-version.1.gzramalama.1.gzramalama.conf.5.gzramalama-cann.7.gzramalama-cuda.7.gzramalama-macos.7.gzramalama-nvidia.7.gzramalamaramalama.confshortnames.conf_ramalama/usr/bin//usr/lib/python3.12/site-packages//usr/lib/python3.12/site-packages/ramalama-0.8.2.dist-info//usr/lib/python3.12/site-packages/ramalama//usr/lib/python3.12/site-packages/ramalama/__pycache__//usr/libexec/ramalama//usr/share/bash-completion/completions//usr/share/doc//usr/share/doc/python3-ramalama//usr/share/fish/vendor_completions.d//usr/share/man/man1//usr/share/man/man5//usr/share/man/man7//usr/share//usr/share/ramalama//usr/share/zsh/vendor-completions/-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wno-complain-wrong-lang -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection drpmzstd19noarch-redhat-linux-gnu  Python script, ASCII text executabledirectoryASCII textUnicode text, UTF-8 text, with very long lines (397)Python script, Unicode text, UTF-8 text executabletroff or preprocessor input, Unicode text, UTF-8 text (gzip compressed data, max compression, from Unix)troff or preprocessor input, ASCII text (gzip compressed data, max compression, from Unix)troff or preprocessor input, ASCII text, with very long lines (603) (gzip compressed data, max compression, from Unix)troff or preprocessor input, Unicode text, UTF-8 text, with very long lines (691) (gzip compressed data, max compression, from Unix)troff or preprocessor input, Unicode text, UTF-8 text, with very long lines (592) (gzip compressed data, max compression, from Unix)  !"#$%&'()*+,-./0123789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[RPPRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRPPRORRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR2lRC3m+yhttps://bugz.fedoraproject.org/python-ramalamapodmanutf-835522e5cb47e62f94ddf51ebe70d2413a7cd7031f9a2fb8f50db7c4c8f4d643d18023c00ca4211fec8de35da50137544ec8174d6f62edea0010e6fe8ebc1b97d?(/h,DLT3 python3-ramal-0.8.0-1.el10_1.' ժψgT *R\bHM>l+WCl`d:D'z ZhH$ uI44 P2> 6 _ ܉3!}Nbh&3م~Xh v aAr:Xf.NFׁ 3^r=뉕[Mon p5Z5Pؿ^斝GiOw;Zt5)r !&6Ŝ;1US=?-f+wwVl 9c ƴ0hya(-(S=3R ~4613WBI>gcG9b__{b$d˻n3U&)2[9;5W nz]֏]¡P%jMk{x;c5j 5d895cf35ae820bf4dfdd9d25d14c818e604f312a046f6758aa842664b7cfe21689b66e54ae4890761ad7a3c5522adab2ccf49bc8av&R; 70N;4X m({,`¥B+J( '/3M A)>!CuO,;EILfv R>0<:D+o*r@&Ԋda X Q#VYn18SR  NP,  9!  m". )xF-, $ E7 "b8<<6 b`++Nm!&9Lb  " sG ''(*ǹm ހʽ~ⲀTK듀*9ǻ& D/OaT$?jyU*A'"1`K,}dc^05%9BI1_7&J23g#+LoK+MSQW^O\a`kR;(n5%QgJk,J]-uEh35 :c=l/8V} \r.N f4_D6+ך<1=zZ 28dPK:ګ#G2)^8ٞNlpd{ *Yd7e놘z+k?56s(d.K8a|ю#x|m1;?9;kűi"E1BZh91AY&SY(\b2Ǐwyi厀4݇)z35v O@~lIzj)"}' ]5ωYH[b3 8M \"Sy uJ6&ULwl7jҎ덦=\6s1Dݖ$!W4SozőE" `@:xt3RK ⥤M޼L%nN4 WP s0RiúR (ȌbεWXi 'bauM#=<چ_(4. 5H@:4:*-Br<;5T*jwZ(,/|A ]0jI{n ˖k34ܼX \HD*@L0E&y AḦFya)6@Pqc CZoDm\nؙ)&ʍ6Aak3P|>C<[,̋qk5K,eo蔼mD ƍ@?P@ci]bz `Έqo{ xp!C%mhhIJ+df&Xa`LBV@Z튢듚G!qmQ (ME0@p1y (n Ya2$~NL3Q ֌~AVf'9(f L8I)ĨT%0UXLEU%Ԙ; LY&R>0$RŪأTQE]g#7ța(lB/SHC!%SGRL I9Y|8ׅL|6?{06ZEU5Ĵ e)i1P !CP+@-R q $H&ĺiu(\w(lyTCDHTGx00~ &Pv7˿܍SB&CA($ +G4K0b#WaUk ps<&Hf5JbS@&ԝi:ծ]& m#dtR77JT@؁N:6TIPPQeǛ)tĆ$6+` C( >Gn ٪چXf&0icV]!]DRhz_SUw~Ǹ<Džefxu<98"a&rdĥc6g; e'c*+X|ْv%$`(FZIU/Y!9'S¼ BOe7Fհ1#D1b|k1%x~ OR#Q7<=#x@a1Q!J%$R,=s6/TtS{҄#f|I|lq1~o\,0DJrGk0z^=efyO܁j#RhU K ks24`t]yh;lNXvQczd{QU=<m ݵQ$}2}#!XbTǓ.F5Y!G-ePP%|*f /"&$\ˀm#6|hzOx 8dd>wcH9`ɱP_rz*8'u[g13B5~jh>5>5)ar4Z0mˍE!K:1vxr$^@%r*GeQ/XB)4At/ =Q8,f`8~#[JxHWX Fde$*=AO4H^cr![lbo$~jNl^K<0@{H|1fڎ -I0B7l Z c ֲ:GhFuPV`{#~i,FbHY,_Z'fMR@m޿NH!OF~~AL#E1E  Y/GTV dծGUW[O=tFlWtk{|QP؂.LZ&DZ-ͶpƏ? /dDKf px`Xqh: ,aг:c L &PTO6`uP kf3:)šxxTƂCXWFTayr9)kx;V,0-Um5? *ʆT[UrK0jq+@$a2C.z1)`=a.b{#[Ճ.kЛ3 n̽ u ddL`4 5 a̙p8f`ٓ(5CϳL#?!Tr'9\DҞ1BmCWF\{)FD˚bEw+EZ:ac6#^Gxa>!m-l(-MudO9Jl8ԏ\E))#30 yL=vGfRiF`/W.RҀ,߫2N'Рf1 -@o%1T3w&tr#$s r8N"o c8E24(蚳{i ړ(Be3ST> כCfZCg3ɔƓ]F-VdD! Q^V>!X ǢnDZOD9DhSYݙb?DjI¢bf,.յmYAk5ƨ*c7ꚌAOv꛶_d箢31S@y k LL0 Gz e/}<?Eesp8Zhпy:WΌ9R7ڱޯNSM׻;X뛠w˵b+c3<'@HH6=2@! Ř5RP7H%s܆@vlX[ C;c cV^T@:E"(He.g

[RL](.ai) is an open-source tool that simplifiese local d ving of AI models for inferenfromy hroughamiliar approcontainers.
## Description strivo make workwe,aightward,byOCI Ua enginiPodman, c-c develop patnsbenefitexteaseeliminatfigurehosystemad pulllowyouc2"Q$Ia82b#aRRCC"$"H  JJRJc0~R*{XL,xr6^[|G+HӸL cgY\J2@ѹt ҌiNEQ`w% hd +㯊2Ō(feD ^Uo?WYklU+3G9baH|ױG*VzBӰ嵔SMkGBjzv%.4N\Xe"M$ +~5Ai '7x.CNwOk_dS=KgYG0$Fλoi\^e"lÊo:p__y]6sT~_;9~9}.|AGFaU:u?M.-̋Wqm&ҹﵡOm ~y \rG,g3|+X=~Uk|jMd!εQy7#՗z6Ƨv|4?VBOo_y/!z۔ {ym^F3"-GM0-ŇbLU}&r1m=/vFyԞ8ɏLϻaa}B[?,؅щPGfճS@.ϛMC^?긥.l=T1G?4atway}gfT|slwO[{ ŀ9a4מ5:zUlN4^=RM ?r!+<`5Ejoz,m;s43YʼaN +C&khSY'N)jk܋giiȕ)֓t/e?mqk !A'82!!`fo`S8_ϒvʚd_/ OʡX9Qzz|uG}X.^ fNckۏ 7?ӣM9$@hLs\@aY/vU)Tk1':X4oN_0L ]ƱDZ1nu'7WCzZV9:l\{&~)\oe#T^c1F7uLŌf/ 1hA;*Laa1]1ˬ彖3[d Lva7 6hbRR P]5`JO/Վ#g|k/FphRA\YZL8=0k +R ZQK)F&E2e㮈 ~ r[?h nB/~ÇnPoPҤ);K!")H~n)` "%@$D}(o)N׸ pl$0nО)J7sqp]\ӁZ~%~aT|_!L$d%\Qfn+),֏b>:E-8R1$G :1TʿВju£m޷qhcJuK(p3pse  DFmD]qk7ἷ6= ͅp8b7>wx>`Hm?#ǥM _9*ѯn(x'1:q\aBLm12\(RL&n'}5nYqUL2 ݘzbJ'Bk R}#Dj*SU,+8>pj8\#AD㊙m* NOń #PAx=oQg]Sv]S/㛩 1s{=fy@0ʮOK`ηP,?1KLRQcݴd@gզl^%-^uo]GeuI?=U_[f4yQˤm][\Vg@)k6YSOavV) IV)ttPH?.z ,Z]ד]FY͊x!P.2Tm0RUY˨1/kƫǷS y'(Ş{YuYX]fCU[tJqϘ4FmH&"G8YIrIA"-fsHȅax}PVa`\VP6nӢ]܌U҅iVgUE?G*&wqjMcX) )B @t"D)1I R(4$Y0yRsk?TyV 'VlH}bΠGࡌdSBhg\ɏݒMx"0lXͪyДFjnP/GzǧE"ΧY/{21~b K*לLkKqD]3@]Jud@ٕL{% P VZja@Xoj 5+$_]R\^/9%$(|Ho C*U[ިhk^nk ٳeBw4(¬y432X0_a .cq3+zסomUŜY!@0>,0 .5fg;eTAOm;;H '8eEr8gHCS vE 崜 >loJΤr AMpv0cj۩@X(d7G/n.5zVJeEI9r5Run4) .(dvthffҋcX?mD&KZհ$WₗB 9qR_g--9,A6h"rҮKgau+ᅺ[ E]xLoC  ~^]Kyu5b0eMڐoq9(bB%`偔^?9bHZCM7ljqRF6$!شl dS3i:N.6D|AcgN!a)k nS$8#AR+vzeЪJ"%K&Ď\?>EstꃢI(X kvae8S*/ B*qtE} Q~o^V˫?z]eЯ ٵDiKc]Q?%&{bu2s^`ܜMѻʃuqqs "Kb vZRJd D9x2Ŷ%mv9Oפ ?9?禜~Fq%.kpe0iżmg!}8 3L*F8# &J%QtS|NuPgSGh}.:bNrKETO$Soxßݔ(xoIӶ`17Xc& ހAR=rw!Ƅ n@[J*y5fludb^'lZU Ž>"A  Tq ?iM>YN.CjRPpiKɴUcu08h[8L1.gd`E[O,!fxBNrBBBq^f =# XW68wm'%F+Dٌ𯯖\3\^B!%eY* OwRV>d2(CQ)Ky2sY  'S!9&wI]?" n:tj @F"n&>-'!Ԋ$8?s >\J[.t{B|bmbWAGf)/'!CEAvVyp?M ~O 9|J'XKMl[/PI^I) \[([@iVηw٠G5 %]a1&L @@u.<86Q8HGh*2+ @V PcVAזo.l_P3#Y^hCcUzBO~S-~=tbdMm, )yDo;1˻r F* EW\ЋFXUSlH~b(1Kb cZ+ܠ 8gFB)k"zFWV&ctͽ5M-1,r>He]&f&0 ͡%+ :A{ȵ4D?{!y)NaCFa7jt"޴rg%Ezpޅ$&B5Ts?By.$Ib˹D-B7mÛoǢ~/p$$Lrx?hˠӐ!cf8(Fie&ؐY˸wmPwW `l%8A۽$w7sgZpJוQAꈬrP/(vD4g:Щ.MI9*瑇/TsPe&|Y88+gl?}JPW HH"L-!A?R8S6ǾfHp6 N1j 4N@\S?I-#]c܉CxKzc4T6̼07ۅ޶"l66Dzу?jB4+=h[ 3\dRvntS:VVTָ/5ӑJ̚ `=w*~ 7KJ& @ղ@rĆy\m4 ËklF<8@߈@(1jka\4{"k23GBgUŎ/ t/ ,a*a'bD]؜Ry)g"s7&+>2\+` L᠂$S+8ؐaQ%,UYUOh@޹̓hT9 CXmڞ>_y^ ;uݧ?\fwq\GPE1);XZ{q=z+If/뀤+X̝Rw|`Qla8H"Ӓ$bCAF&@ $f#&oQ4Rz5G~&kbG9iٝ LaOW9uR9TEV~ U[V{$-rDZi$4sHa4yJ/bϝ>9^r@ ti5T}Sn{9o|ľ `J/;C )R$?ny72#RxJ8b?YVa^(SEisN=Quy~h/Casoi'OT|zSyET!ꑋU b`A5|An̥֞Fl&4 ">9u_"2?I(:ϳ^GH7w%Vԝ]qv lLezo?2.c]MѼ$/78 wDg1Րב1gu ~C*\04^€j%ϒ=n0,m)֚0,iB6=r7w~0YX@P0v0H1|M=cU]%0m!s¬ˍ3,Dh`+_" C`;W-{G%])a^9>y IyagjyY!A3 %VzG84AGvɂfdS)3g=ұPU 4l"e;*k[_>1?| JB9!+4.stdy()rs,h):T_loop(._=break0N.=!$]q/%)`˝3gfԹl.A`%1gBrK>[-g^0<-`VJH1 1PV XTLj.B6}=Dݦk|.x ^KZ-+bS(2-ﺘobYMlX\K 5 \Tަe79 bXwxav[.,+,Řg9.{*vא"9v{Pq!m.!抝7p:JCm ʵ¢fB:A2)(oxȆe\DʰIU CmgYw¼݇j܏C}C` Ĕ)VKJIێ0N._ZU~R#6JFU}͏@0L#+S(k9TA7˪"sNnTȭP*&\d0f~f9w'>2|``-JՊIٷaS3C_֚lLI %-Vl j ^cjI͇kW*Ʀ>nkk V ]ǚ١&HUB 柣ɦK0H\6Z:.ۄ0GHmQ[*6EQRk7MGgUO{> Ң:摐j \̻><[!{+Q1= x\̈= >>h'pcE =Ťפ'Q%Xzek #qp3_Nj D48^{j dqpaG4 b#?> ftI')hx=:3ie||׳$,::@x ;i^5F"o,_Tm By}<I~ZdEzU;Yb;&;(b5'"ͥӵ5!m}bBRn /`BVqQ{Qb;T+x h4f䷚]͖XfyֹFȕ Lqm1Dh^("-Vҹ]+.pҥjPh`=EQ{`L5KngZ?IU {fιR`N$|1p#۞N O:Ԛ.J_܌`G(7DwG>?p%;>#iWQ?-b,9W(PW}fn +bF>dCp7 b錫xh `>WIGw_Tn*[&G}VHRཟBvcip$=01>NG&ŴVm7U$0[Ż]?z"_[25| vs)ݞ%ɽ(,f(.ܵc5N7jƙnQ;woGˑ_,tNc'L}וU$ "f(^|A$8 !#>jBE)qA3oHhR!v]8x q7g/ N%&Gzq8$p_ e;DG@:H]Uo$8pp|O(1c '! V5gNɭ1 arVv]%tfQva")Ԛ+@ji9Hn8tG5S>ِFc8:?[`X嵩'̮0$׹AGK5sH]864ۄ][Xd{I iv󶭳1ȉY҂nw NklR'Kʔ1ʃ@6?`?2س+QXU[!uhOWϫΤٳMD$ѕ-n-:ĉ=$V`:x[hnA])>QdKXZưq+7kCU(*2)Jr ukQs}ě-v8{G D6.H6$3)b/☈+@Y 0|vNB:D {=>H"EI<1}!+D;R U%Յad;y4*]6=Ha,4V`u>BHYXgO3Mş%yW?m[](^1 Q(i6BPl3D^D7N=@8`܆H`]01Br ƒ:Xvw8(?:KH2PAǮ5Oe W-CVܬNTHP(gVb$Xf)׮5<=hLGqlΦå.bе|G 3hI;]If(.DJ/YBET5` A;T)a8pCF1L''e͔,B00h zl'`ϚE-uIm܊z\;[x84-#f]ڌl\(wVO+.y09nE'Fb8Y%(iG0&alAe8$+4}8GtA^'t`פ lpۮF#I ɐ|;6vz`nW͑RQl bp 1`U1i7@}I+Ogd^ Jʔcfa#1H>r#${(̠Uc>eMtjn5PVjAG|ЗyOsH$Z.|j㶉Z)2lM釱'Es(9FO-=; ^fZFp|E||ޮg͘ 4u5(r)u  lQAp~jjC() Z42Skn!=Ria@N>ݶscMRl3#ckJyj MFP ` !=-_fBX7H^TQfeb$Myl'-qL -4`hJ60 b9UX\mdkѢq7Q;I V}Mc#an>ua +Ie^Eq-pSZ:c,^4@[ft G$]#[yL\ЎJ4v=ScFb;MNTM쌺Ƃ;U2 Bi|ݱm~ jV[[5=iS)o_l XbF^\}_xzٟ}*g{{)r_ޫchD>pήVυ__ħ~]_^7GLӷ+)?C֘<1T>nUYO<b4AđA6k p Oo3Qkc1 tuuv?C' 1C{ |yy:9j>5{w%9-OS굞;ў\F} 1{!Ah& gO bӺx8;_u=FbX(B~5,G3_ׯ~9?|dj5s0#J꽖:y?y|? 8_ 藭 LHd2IR4hRqn~"^M^->@ U&n- slm 1f_g^ܦh~@ ;/ַ~Gq2a7 g5 k8gf/~%\V+g1BOcƮ@C;p{'ޑ^ Go>N.%A@4BL k #(ʨ6G0@WzNL~Imljvr${s%9II[+uήG y|x)S~yzDZ16'֥)U)W>A\e .Ͷ1<}HL|ixRݬת<[ EZRIHtKA0cr8|5AOB#V1Bl~҇!nvllXCPH:?庪sҶ|J:/ >=~f}UB&PASH ЉnPÚڒ<Grg6uڶ;THI.VQ'#&%mzOyjx3qGOJ([S8^kx2J~Ҹ >Ζv@#zodXk0+Ǵt},Io:5}D4ԡsٔro m 󫴼A%Kj3fwQfnpty{[iA&7 |*_؂>1,Qs9MhIg*'<_igpD<;{#~PLywunׯsKkELVY󞫹oL\Ud4Ëڋ&i7lԕjkLٓ7+ۢJf<^ɪrq Ozˊ^>MB׫fAy.bFe:x\~ph6^ԇ$6l)Dل%QǗwd;ub;"90pXpjw0ƈ|7% -1mQHe@p)rt t+[0"dB+igs c047`j^KsmX:)gc8a" &R asr He#P7E]9<Ȋ] ^KLF@RC*y,ƭ?S { -،k0GC i%BPB,jEi"]rr- %C|5IO\j V<' F7MChȥT DBKiVQ9JD%%t05U v$^le867QUWw+)bfpD̽VxC x$f j?3PޢocB3 m\e Ѝ3gǂb5TP֜w9 7\%,B O DD^b`73 bzyHk kP9%Ҋ[tΣӖ > ւ089sw8M l W'h~pB1ƨaAG<™'VxmWB1s79.iѓ0 L/UF>e; k&Un# nP>%3tWa-ק\/V⏞}y `4;o;5A^ͬnnvȖm]kr^{iwo_o;o JᯕyljuJV-uѧ&-\)Q6, ;ҿ/d{`['}zV;3%+S:iD 阏JIϕP<^PxNTClJbɿz VuۍBZsU%#bu]wT1wͺUZEۈT%6*u2jtܑXյ,VC6lx֔D:i"lſF`uQ-eJEw.k$mѰflvn (aI톈$դQ*z4̪H,:zgu,ts-R )h -\'6)_\e[#6v=BtB?OU=e?p-WEBXP Lu_ zya ;*c2ܒ :5ß!پ5#}b c ǚN{"iE9שzp|9^r7B_~ѻx2׭z;0Pb&MKgoA p-K%}퍬QoкOoF>*'-sl"bki/ai_MS-4B-I-3-IQ2_M":24bpycs td}r|dk(s|jdryvr|S|)N rr Q299%9:f[>QH|y)Nr)r_rs-s%DI}d|dddfD]/|s(|cy)Nr؀) r dirsr7b""6*IykO%5}gN 77>>SE!27)< =U+G95 5O rc0 dg}t. s4::#3#3C#89A=dl?? / /td||j ||St } |js$t zrzzzrx3D63%tDE::44T4@ @ C%&=lD&Q%RSM:24&#dCD5dV1SEEF072781a4[T\\N44r, |jy|٨=ȈD"$%i@CC3m3H #4RR$33sb0C|,BcmFBn7D,F"B_"$[kSܕ(!#?}䃚@a{r:/Pw RE^v+5ǓrnM*zKZmAFĥA$iUY )gـwe!S3]m,#.$Ȟd1}&H%2dN}s;W>~␐Ydu#-^d,Nr(#8muqop4~IHĊ跠 mԖ-4f^S).A?XyUBZ+d)ΨcS!?n mM! @=oqP43̜& ݄cd +3uڗHG\BJF` !oվ2 H &"`TAi­iR\q1m|ш- , & X6Z/JA7r 2BJl;1BkJyl 2"N.b4WDHfd [.j3.=lWqMnOzPVPXM{n:֫fx}}VkfD0QQՁm(]w#ߣD @zU yBP C6ХRbT`!q,s8|gkv"ᎍe/Pc$&aL*Pw`ZhCk%}{{o'\;H;WHARrڑލi(+dl&4|K)^)4`Vn7~C:O<'=xn5O}d,p#:oĂL4ʂJd*e]7`y@*KW2S3ld&~ʱW)a8_'`cGZ)m| f.!Q5f=3l!׻-''>\!Rz2 8%qN"_uzW+ڥVIP* \6ߤkj es+ }<.nzϼؘ#[ohB}vw2&[!>y[k"zvْl+/Q{n6@:dDub Tf턫8%J.\^lS7"%5!Y+:'k/نNG'AO]ܲk /!-.CMjCsz:-ŭg%a!~U-J _CPe߶,Kx}.:bWp-渪>kŠGtR%qQ:-Uĸ攆} MвbH3tJx8vBBA_Oϔ1iAēUY), _lnAaȅ1ՠ>Rw^c:bFj',cG>m)e*$RxN.Zp>^s_l\h]Pu ;af]'1kf p*$nЊ 8vZYdE@dg-$IU * :p?nC