BMS/0000755000176200001440000000000014274440212010673 5ustar liggesusersBMS/NAMESPACE0000644000176200001440000000257714273171744012137 0ustar liggesusers# Generated by roxygen2: do not edit by hand importFrom(stats,density) importFrom(stats,quantile) importFrom(stats,variable.names) importFrom(stats,vcov) importFrom(stats,predict) importFrom(stats,deviance) importFrom(stats,coef) importFrom(stats,model.frame) importFrom("methods", "is", "new") importFrom("stats", "as.formula", "cor", "na.omit", "var") S3method("[",bma) S3method("[",topmod) S3method(c,bma) S3method(coef,bma) S3method(density,bma) S3method(density,zlm) S3method(deviance,bma) S3method(deviance,zlm) S3method(image,bma) S3method(logLik,zlm) S3method(model.frame,bma) S3method(plot,bma) S3method(plot,pred.density) S3method(predict,bma) S3method(predict,zlm) S3method(print,bma) S3method(print,pred.density) S3method(print,topmod) S3method(quantile,coef.density) S3method(quantile,density) S3method(quantile,pred.density) S3method(summary,bma) S3method(summary,zlm) S3method(variable.names,bma) S3method(variable.names,zlm) S3method(vcov,zlm) export(as.zlm) export(beta.draws.bma) export(bin2hex) export(bms) export(estimates.bma) export(f21hyper) export(fullmodel.ssq) export(gdensity) export(hex2bin) export(info.bma) export(is.bma) export(is.topmod) export(lps.bma) export(plotComp) export(plotConv) export(plotModelsize) export(pmp.bma) export(pmpmodel) export(post.pr2) export(post.var) export(pred.density) export(topmod) export(topmodels.bma) export(zlm) importFrom(stats,density) BMS/LICENSE0000644000176200001440000000017414272754150011711 0ustar liggesusersYEAR: 2011-2022 COPYRIGHT HOLDER: Martin Feldkircher and Stefan Zeugner ORGANIZATION: Martin Feldkircher and Stefan ZeugnerBMS/data/0000755000176200001440000000000014272237215011611 5ustar liggesusersBMS/data/datafls.rda0000644000176200001440000002116514273171740013725 0ustar liggesusersBZh91AY&SYK/A\}ϯg|RVs\}2 =y5{nG\;;K|YaA5=mS٨jOҟeSzi?&TzSjz)RzM SyF L?!&14i`LDO(mQLfL@ѩdʃDB6F&4!&F&M4=d4&Si6OF@О<(OMSzySOTޓS2~!mhOLzMODiPz 42hSa &zja'zhM bz#F@M3SM4 6L& ")Ƨz 2dFmMDcOHF<'z'hѵ=#L55BaAA90HRߗkY.<Y#)6\`VӄOC*Q7rǤ8;YvoC8S"`0Q@V zҐb7pRبֲ B$0N`l*+4 TU%v̅yLn@A7 qpqQrɊT2 q@dCT&hm#i(! IMfq7JA.`DžM>tf9B옱-#o#Kn\?622 @z@nAA7L 8Ň Hl"<0TTH.= _Քέz5x=R(L EkX A'~((#<t/GQJRsr1̈4t}m0^xrd3GOB=) Oa*Xj ]\Kfd-j{xݧ QwW`~hM7<!TԅYԣd+:N<&4#3i#+/ɮ b)݁bowXϏzjc35[o`2ftiܘ )&V䮕(Q**He[uO γtsyi[W!0tل/<#u+d`$gYOxw[$ɥVYP)q631NO<̅ouHšx("'C;_~XdD魅h,_ .;/*/`{HH,i!`"̳GY 3mA_eX}vɪq_ ӞY sIizwԎ@b[P:̈_+7)N0>/kQ):s@/qˁLd@{R)WA6i⽓kĦ 6.ߥ,D zשe{#hV"fo0dK3ݭyi߲(4x[wB&,md)|TmDu:c5ZC"fߕD7\FQG׳_v7'\a6E!d_V4_Л52sچ@fԿ$.PurY5W&&A _:+|>}@\;G<j'^4}'@oc\hI2Epp%Xժػal1\ѱI~hO;C{U_^8aõw.‚20+[UOi3>鑐 4 cp4j1rRt}Y/c9]|=w8ouUƎqAך!¬{0vTk9L+7IemCpl0(%}o}RבGϊ#sCvr1z޴ݎ/eYAxrK̜ n1Yvz|w/=Df15G3k~-gkܻ[:.ozjApnVNX4˽׼H+;+>^C~߱xpC3RUks氨b*71VD=SBf g<ն z8,h\̷i5jHNqT{6Mu\-D%FeP7;X,Bޮu5kZbe6 ͛ ')Z4zw< z/ZBzN9ucslc*}SyPyyBqتM8I1R[&{Ԍ+}7U^[8Z~jyb"&R 75sJ!Cn湝te^ДH*Ԡ5v(AqUn^/,=@/i;1Y]Ps3:_6 ̷`E"f#p +]#0uDB·ʕ0OW/%\r0p($/,~mfa$"n-6ºnu Aahg:,n%Ach`N-{C `f0K~Q$plr4z z[;1=,'9Z :Tǀ"0 dyޠR!Kj4EI6_ c98XK^aɼu-Tgِ3'#7\IPM\Cr`[!! R -k9i0LYle Ug zX"1EB̋ _Lӱ:9\zfJ&8ث9V$P*/ U@2 Z+[DЫh4`n8MS6K\ Pȷ:[Dk6޾5]d73kM{{k{LW6t:M at~URcJˡ0HṖhjy8i7hOl {w#tjjS\1vOhYzXN:$ʃD ݟ.w(ykH`dՓBPrrJBRL3DRRv̟{w˦fW6gdq*W`OwgGemب9 = DֿCh:,,>.Q4Gߋ8lbJ w@!:/fxCy\lEȍ\B@Ę#р`DaG-ٚ\Yo4g<=̭-֋_]Nr*,%=e[J@kR2$1yH5c@.iީpQ: ',)Y3!py-/67Ci@bcȾS=oy}/;Bwo#=0 DTo~D[Y&=|lӍ`56-T+pIt;A3A i;x#x[6ᅴZMPN>/ꕹHh_dȿ.3>PGɋx H}4^y7OShſ_ \Km]jNޒ7\Qz|NfFr.|;YtшF>#lA㈺yYV,G#̑B#F p#'$ sǁC)8[8(7M'^C_{]ɦl dg",KJǚU3 K:#n"Ք;ɵZf[0D Je_$e' ^a!CE0Ens#z޴0Az nm~g"% ̈,@ϡƄ1xZIWt-K#!nl6c}6^F9-Д򱑮ܭ@Z1Tlc;EqM@kP= yͿ@wt%oC^A 709nfCI& $dDU{G/ٱșu=dS*͞(9ʻȺ%:Y@ +$\~W7&gS)q, *|ֆuw@1 x$zO:( sQSR>[njU>̤ EE>!b> v ש0ݷmqx\ `8rtXuF0<  n3bۃ^-F׶: 3"!S(ϟ+n`᧋⽏)L۶bXFA9X0VBѽX}fb9)}9ݬ~e[ dg㈼CdPѩfUՎABC)*%R:ۢUS ' E5/Meߐ(?]09'dkgfӂ[K2.̏}…aFWۜ2ΚR`B'6( OLE+pKCל~<.kєtpKM:.+ZDAIeiZ*J9[qX&iKv3dջ-ۋ4H_D7{6{ԩxg=)̽V&/!eL{pߝ5A*~G]@P z_%HM?Tl N;G~(A !H p&5{jUs6f&x| qbk(8U[c/hGkPȰ4slB #N0 0_'oǔ6>dށ!n8v}HôBzR{9jAtނ 2gYI\#L6#axwǮe&@ރ b c"t[}u7F;4 N\h\2\xl܉'W3}8V薷Л]aV <0a ۤVݣ}u]pv~ 3`i{ݴS:c'Jj133spzJpc1 kw̐1Q|̼1CVyJg7mxi/Ľc=Ta{D y iG&F h㣶z6If{l28#DChwpI`ĀоK:"$L̙n(\&۸ot䣈8i[6./bJZIqbm+I&Uai\DucGEwwqik,g/):_h(~fyl=q& Jёnuo10@$T) ?A<3@;}4=mPx,zۗpnSG$X5Bjk_PSxxq2׼%2~L48Uj$xіBk.[ʖOQ$4!0NF0gpqvr}+ǰzxClre#TcnKFbq3wLfA ŗshs`f좬-9MLٸdD/yz]d yIngX`shnsYuxHRuV:pYa_ղI&H3P2PWCx՞ xh ->lD ŜloqgN lW闳/$J<UPZ0DQ\_u3˚(*ƝBhpI|:ԈyWrHx֠yC'}ʅl߈o|U!2v!S{"&6i rmr]~rL-/AuKOa8z6mobcTkyس(GS", r\!Q.K;sn'{=nY2\ҝ8Km_}*h dg|{݈Yr?>i g3A@`3vbH2 0|JNpjp4i쯨=ca'KMs:9WuI!Ѿ~bFG?|:V+ ԄVΪWu1s[}W~$kSAD%22/ y{8Rq%k{ږ+%4Cj5_+;5A?;`dٛa.p[R'KA= X`yE_e%~ة(E P9a&W[lmJL].ZP.7YO$orC&!n-=֔=}JT 9aavfqYTBLe˕FQ̢JVϖUOЁ/&z*y²ޭ^|`m!;p׉5$HU UE?--;%π̍~K+q;Ճat%ŋVti^d\#A/p?v"~mP!tPbviKRM 99j5|Ҥ|nׇ4b?}"3ҺcvE#N @Sztcv)7)_AI~[K$dw$:^RU2Yl˱{6TC?ͭ!Yf3 T5Hqԟȩq*J:IʶbH R2j^@XBPt7mV0Iv#4V,0kji=°`"+S2.oo2@z>$EY&8N \ňԎ!O6 *I .+ <_5xl?gwp<{'ܡdЀCb`_wS,qgJUFv.2ZaP}aϷ9E00DTLal5xҵٛȤ:aX:i20;]qMS]'^PmӉQF|H|+l, D;$/T+88QVo}frB2>-[z 2Į -N+DYL8l+ L= "I[͉Xc\>F 6-H42A\^#OqVFJNO@ @Mj Uՠ$=xe1dI8|rmdGaOשtjgގ++x >-rӡ*iU adjust ncount tm$addmodel(-2.5,c(1,0,0,1),1:2,5:6) #add another model #read out tm$lik() tm$ncount() tm$bool_binary() tm$betas() is.topmod(tm) #extract a topmod oobject only containing the second best model tm2=tm[2] #advanced: should return the same result as #initialize tm2= topmod(2,4,TRUE,0, liks = c(-2.2,-2.3), ncounts = c(2,1), modelbinaries = cbind(c(0,1,1,1),c(1,1,1,1)), betas = cbind(0:3,1:4), betas2 = cbind(c(0,5:7),5:8)) #update tm$addmodel(-2.5,c(1,0,0,1),1:2,5:6) #add another model #read out tm$lik() tm$ncount() tm$bool_binary() tm$betas() } \seealso{ the object resulting from \code{\link{bms}} includes an element of class 'topmod' Check \url{http://bms.zeugner.eu} for additional help. } \keyword{models} BMS/man/f21hyper.Rd0000644000176200001440000000355514272001550013401 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{f21hyper} \alias{f21hyper} \title{Gaussian Hypergeometric Function F(a,b,c,z)} \usage{ f21hyper(a, b, c, z) } \arguments{ \item{a}{The parameter \code{a} of the Gaussian hypergeometric function, must be a positive scalar here} \item{b}{The parameter \code{b} of the Gaussian hypergeometric function, must be a positive scalar here} \item{c}{The parameter \code{c} of the Gaussian hypergeometric function, must be a positive scalar here} \item{z}{The parameter \code{z} of the Gaussian hypergeometric function, must be between -1 and 1 here} } \value{ The value of the Gaussian hypergeometric function \eqn{ F(a,b,c,z) } } \description{ Computes the value of a Gaussian hypergeometric function \eqn{ F(a,b,c,z) } for \eqn{-1 \leq z \leq 1} and \eqn{a,b,c \geq 0} } \details{ The function \code{f21hyper} complements the analysis of the 'hyper-g prior' introduced by Liang et al. (2008).\cr For parameter values, compare cf. \url{https://en.wikipedia.org/wiki/Hypergeometric_function}. } \note{ This function is a simple wrapper function of sped-up code that is intended for sporadic application by the user; it is neither efficient nor general; for a more general version cf. the package '\code{hypergeo}' } \examples{ f21hyper(30,1,20,.8) #returns about 165.8197 f21hyper(30,10,20,0) #returns one f21hyper(10,15,20,-0.1) # returns about 0.4872972 } \references{ Liang F., Paulo R., Molina G., Clyde M., Berger J.(2008): Mixtures of g-priors for Bayesian variable selection. J. Am. Statist. Assoc. 103, p. 410-423 \url{https://en.wikipedia.org/wiki/Hypergeometric_function} } \seealso{ package \code{hypergeo} for a more proficient implementation. Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/quantile.pred.density.Rd0000644000176200001440000000610014270504153016164 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{quantile.density} \alias{quantile.density} \alias{quantile.coef.density} \alias{quantile.pred.density} \title{Extract Quantiles from 'density' Objects} \usage{ \method{quantile}{density}(x, probs = seq(0.25, 0.75, 0.25), names = TRUE, normalize = TRUE, ...) \method{quantile}{coef.density}(x, probs = seq(0.25, 0.75, 0.25), names = TRUE, ...) \method{quantile}{pred.density}(x, probs = seq(0.25, 0.75, 0.25), names = TRUE, ...) } \arguments{ \item{x}{a object of class \code{\link{pred.density}}, \code{coef.density}, \code{\link{density}}, or a list of densities.} \item{probs}{numeric vector of probabilities with values in [0,1] - elements very close to the boundaries return \code{Inf} or \code{-Inf}} \item{names}{logical; if \code{TRUE}, the result has a \code{names} attribute, resp. a \code{rownames} and \code{colnames} attributes. Set to \code{FALSE} for speedup with many probs.} \item{normalize}{logical; if \code{TRUE} then the values in \code{x$y} are multiplied with a factor such that their integral is equal to one.} \item{\dots}{further arguments passed to or from other methods.} } \value{ If \code{x} is of class \code{density} (or a list with exactly one element), a vector with quantiles.\cr If \code{x} is a \code{\link{list}} of densities with more than one element (e.g. as resulting from \code{pred.density} or \code{coef.density}), then the output is a matrix of quantiles, with each matrix row corresponding to the respective density. } \description{ Quantiles for objects of class "density", "pred.density" or "coef.density" } \details{ The methods \code{quantile.coef.density} and \code{quantile.pred.density} both apply \code{quantile.density} to densities nested with object of class \code{coef.density} or \code{pred.density}.\cr The function \code{quantile.density} applies generically to the built-in class \code{\link{density}} (as least for versions where there is no such method in the pre-configured packages).\cr Note that \code{quantile.density} relies on trapezoidal integration in order to compute the cumulative densities necessary for the calculation of quantiles. } \examples{ data(datafls) mm = bms(datafls[1:70,], user.int=FALSE) #predict last two observations with preceding 70 obs: pmm = pred.density(mm, newdata=datafls[71:72,], plot=FALSE) #'standard error' quantiles quantile(pmm, c(.05, .95)) #Posterior density for Coefficient of "GDP60" cmm = density(mm, reg="GDP60", plot=FALSE) quantile(cmm, probs=c(.05, .95)) #application to generic density: dd1 = density(rnorm(1000)) quantile(dd1) \dontrun{ #application to list of densities: quantile.density( list(density(rnorm(1000)), density(rnorm(1000))) ) } } \seealso{ \code{\link{quantile.default}} for a comparable function, \code{\link{pred.density}} and \code{\link{density.bma}} for the BMA-specific objects. Check \url{http://bms.zeugner.eu} for additional help. } \author{ Stefan Zeugner } \keyword{utilities} BMS/man/beta.draws.bma.Rd0000644000176200001440000000311314272001547014525 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{beta.draws.bma} \alias{beta.draws.bma} \title{Coefficients of the Best Models} \usage{ beta.draws.bma(bmao, stdev = FALSE) } \arguments{ \item{bmao}{a 'bma' object (as e.g. resulting from \code{\link{bms}})} \item{stdev}{if \code{stdev=FALSE} then \code{beta.draws.bma} returns the (conditional) posterior expected values of the coefficients (i.e. 'Bayesian coefficients'). If \code{stdev=TRUE} it returns their posterior standard deviations.} } \value{ Each column presents the coefficients for the model indicated by its column name. The zero coefficients are the excluded covariates per model. Note that the coefficients returned are only those of the best (100) models encountered by the \code{bma} object (cf. argument \code{nmodels} of \code{\link{bms}}). For aggregate coefficients please refer to \code{\link{coef.bma}}. } \description{ Returns a matrix whose columns are the (expected value or standard deviations of) coefficients for the best models in a bma object. } \note{ Note that the elements of \code{beta.draws.bma(bmao)} correspond to \code{bmao$topmod$betas()} } \examples{ #sample a bma object: data(datafls) mm=bms(datafls,burn=500,iter=5000,nmodel=20) #coefficients for all beta.draws.bma(mm) #standard deviations for the fourth- to eight best models beta.draws.bma(mm[4:8],TRUE); } \seealso{ \code{\link{bms}} for creating bms objects, \code{\link{coef.bma}} for aggregate coefficients Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/as.zlm.Rd0000644000176200001440000000401314262370231013137 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{as.zlm} \alias{as.zlm} \title{Extract a Model from a bma Object} \usage{ as.zlm(bmao, model = 1) } \arguments{ \item{bmao}{A \code{bma} object, e.g. resulting from a call to \code{\link{bms}}} \item{model}{The model index, in one of the following forms:\cr An integer, denoting the rank of the model (1 for best, 2 for second-best, ...)\cr A numeric or logical vector of length K describing which covariates are contained in the model\cr A hexcode character describing which covariates are contained in the model} } \value{ a list of class \code{\link{zlm}} } \description{ Extracts a model out of a \code{bma} object's saved models and converts it to a \code{\link{zlm}} linear model } \details{ A bma object stores several 'best' models it encounters (cf. argument \code{nmodel} in \code{\link{bms}}). \code{as.zlm} extracts a single model and converts it to an object of class \code{\link{zlm}}, which represents a linear model estimated under Zellner's g prior.\cr The utility \code{\link{model.frame}} allows to transfrom a \code{zlm} model into an OLS model of class \code{\link{lm}}. } \examples{ data(datafls) mm=bms(datafls[,1:6],mcmc="enumeration") # do a small BMA chain topmodels.bma(mm)[,1:5] #display the best 5 models m2a=as.zlm(mm,4) #extract the fourth best model summary(m2a) # Bayesian Model Selection: # transform the best model into an OLS model: lm(model.frame(as.zlm(mm))) # extract the model only containing the 5th regressor m2b=as.zlm(mm,c(0,0,0,0,1)) # extract the model only containing the 5th regressor in hexcode print(bin2hex(c(0,0,0,0,1))) m2c=as.zlm(mm,"01") } \seealso{ \code{\link{bms}} for creating \code{bma} objects, \code{\link{zlm}} for creating \code{zlm} objects, \code{\link{pmp.bma}} for displaying the topmodels in a \code{bma} object Check \url{http://bms.zeugner.eu} for additional help. } \author{ Stefan Zeugner } \keyword{models} BMS/man/bin2hex.Rd0000644000176200001440000000262214272001550013272 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{hex2bin} \alias{hex2bin} \alias{bin2hex} \title{Converting Binary Code to and from Hexadecimal Code} \usage{ hex2bin(hexcode) bin2hex(binvec) } \arguments{ \item{hexcode}{a single-element character denoting an integer in hexcode (admissible character: 0 to 9, ato f)} \item{binvec}{a logical vector (alternatively a vector coercible into logical)} } \value{ \code{bin2hex} returns a single element character; \code{hex2bin} returns a numeric vector equivalent to a logical vector } \description{ A simple-to-use function for converting a logical ('binary') vector into hex code and reverse. } \details{ The argument is an integer in binary form (such as "101"), provided as a logical (\code{c(T,F,T)}) or numeric vector (\code{c(1,0,1)}).\cr \code{bin2hex} then returns a character denoting this number in hexcode (in this case "5"). The function \code{hex2bin} does the reverse operation, e.g. \code{hex2bin("5")} gives (\code{c(1,0,1)}). } \examples{ bin2hex(c(TRUE,FALSE,TRUE,FALSE,TRUE,TRUE)) bin2hex(c(1,0,1,0,1,1)) hex2bin("b8a") bin2hex(hex2bin("b8a")) } \seealso{ \code{\link{hex2bin}} for converting hexcode into binary vectors, \code{\link{format.hexmode}} for a related R function. Check \url{http://bms.zeugner.eu} for additional help. } \keyword{arith} BMS/man/topmodels.bma.Rd0000644000176200001440000000374514272001550014506 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{topmodels.bma} \alias{topmodels.bma} \title{Model Binaries and their Posterior model Probabilities} \usage{ topmodels.bma(bmao) } \arguments{ \item{bmao}{an object of class 'bma' - see \code{\link{bma-class}}} } \value{ Each column in the resulting matrix corresponds to one of the 'best' models in bmao: the first column for the best model, the second for the second-best model, etc. The model binaries have elements 1 if the regressor given by the row name was included in the respective models, and 0 otherwise. The second-last row shows the model's posterior model probability based on marginal likelihoods (i.e. its marginal likelihood over the sum of likelihoods of all best models) The last row shows the model's posterior model probability based on MCMC frequencies (i.e. how often the model was accepted vs sum of acceptance of all models) Note that the column names are hexcode representations of the model binaries (e.g. "03" for c(0,0,0,1,0,0)) } \description{ Returns a matrix whose columns show which covariates were included in the best models in a 'bma' object. The last two columns detail posterior model probabilities. } \details{ Each bma class (the result of bms) contains 'top models', the x models with tthe best analytical likelihood that bms had encountered while sampling See \code{\link{pmp.bma}} for an explanation of likelihood vs. MCMC frequency concepts } \examples{ data(datafls) #sample with a limited data set for demonstration mm=bms(datafls[,1:12],nmodel=20) #show binaries for all topmodels.bma(mm) #show binaries for 2nd and 3rd best model, without the model probs topmodels.bma(mm[2:3])[1:11,] #access model binaries directly mm$topmod$bool_binary() } \seealso{ \code{\link{topmod}} for creating topmod objects, \code{\link{bms}} for their typical use, \code{\link{pmp.bma}} for comparing posterior model probabilities Check \url{http://bms.zeugner.eu} for additional help. } BMS/man/coef.bma.Rd0000644000176200001440000001311214272001550013401 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{estimates.bma} \alias{estimates.bma} \alias{coef.bma} \title{Posterior Inclusion Probabilities and Coefficients from a 'bma' Object} \usage{ estimates.bma( bmao, exact = FALSE, order.by.pip = TRUE, include.constant = FALSE, incl.possign = TRUE, std.coefs = FALSE, condi.coef = FALSE ) \method{coef}{bma}( object, exact = FALSE, order.by.pip = TRUE, include.constant = FALSE, incl.possign = TRUE, std.coefs = FALSE, condi.coef = FALSE, ... ) } \arguments{ \item{exact}{if \code{exact=FALSE}, then PIPs, coefficients, etc. will be based on aggregate information from the sampling chain with posterior model distributions based on MCMC frequencies (except in case of enumeration - cf. 'Details');\cr if \code{exact=TRUE}, estimates will be based on the \code{\link[=bms]{nmodel}} best models encountered by the sampling chain, with the posterior model distribution based on their \emph{exact} marginal likelihoods - cf. 'Details' below.} \item{order.by.pip}{\code{order.by.pip=TRUE} orders the resulting matrix according to posterior inclusion probabilites, \code{order.by.pip=FALSE} ranks them according to the original data (order of the covariates as in provided in \code{X.data} to \code{\link{bms}}), default \code{TRUE}} \item{include.constant}{If \code{include.constant=TRUE} then the resulting matrix includes the expected value of the constant in its last row. Default \code{FALSE}} \item{incl.possign}{If \code{incl.possign=FALSE}, then the sign probabilites column (cf. 'Values' below) is omitted from the result. Default \code{TRUE}} \item{std.coefs}{If \code{std.coefs=TRUE} then the expected values and standard deviations are returned in standardized form, i.e. as if the original data all had mean zero and variance 1. If \code{std.coefs=FALSE} (default) then both expected values and standard deviations are returned 'as is'.} \item{condi.coef}{If \code{condi.coef=FALSE} (default) then coefficients \eqn{\beta_i} and standard deviations are unconditional posterior expected values, as in standard model averaging; if \code{condi.coef=FALSE} then they are given as conditional on inclusion (equivalent to \eqn{\beta_i / PIP_i}).} \item{object, bmao}{a 'bma' object (cf. \code{\link{bms}})} \item{...}{further arguments for other \code{\link{coef}} methods} } \value{ A matrix with five columns (or four if \code{incl.possign=FALSE}) \item{Column 'PIP'}{Posterior inclusion probabilities \eqn{\sum p(\gamma|i \in \gamma, Y) / sum p(\gamma|Y) }} \item{Column 'Post Mean'}{posterior expected value of coefficients, unconditional \eqn{E(\beta|Y)=\sum p(\gamma|Y) E(\beta|\gamma,Y)}, where \eqn{E(\beta_i|\gamma,i \notin \gamma, Y)=0} if \code{condi.coef=FALSE}, or conditional on inclusion (\eqn{E(\beta|Y) / \sum p(\gamma|Y, i \in \gamma) } ) if \code{condi.coef=TRUE}} \item{Column 'Post SD'}{posterior standard deviation of coefficients, unconditional or conditional on inclusion, depending on \code{condi.coef}} \item{Column 'Cond.Pos.Sign'}{The ratio of how often the coefficients' expected values were positive conditional on inclusion. (over all visited models in case \code{exact=FALSE}, over the best models in case \code{exact=TRUE})} \item{Column 'Idx'}{the original order of covariates as the were used for sampling. (if included, the constant has index 0)} } \description{ Returns a matrix with aggregate covariate-specific Bayesian model Averaging: posterior inclusion probabilites (PIP), post. expected values and standard deviations of coefficients, as well as sign probabilites } \details{ More on the argument \code{exact}: \cr In case the argument \code{exact=TRUE}, the PIPs, coefficient statistics and conditional sign probabilities are computed on the basis of the (500) best models the sampling chain encountered (cf. argument \code{nmodel} in \code{\link{bms}}). Here, the weights for Bayesian model averaging (BMA) are the posterior marginal likelihoods of these best models. \cr In case \code{exact=FALSE}, then these statistics are based on all accepted models (except burn-ins): If \code{mcmc="enumerate"} then this are simply all models of the traversed model space, with their marginal likelihoods providing the weights for BMA.\cr If, however, the bma object \code{bmao} was based on an MCMC sampler (e.g. when \code{\link{bms}} argument \code{mcmc="bd"}), then BMA statistics are computed differently: In contrast to above, the weights for BMA are MCMC frequencies, i.e. how often the respective models were encountered by the MCMC sampler. (cf. a comparison of MCMC frequencies and marginal likelihoods for the best models via the function \code{\link{pmp.bma}}). } \examples{ #sample, with keeping the best 200 models: data(datafls) mm=bms(datafls,burn=1000,iter=5000,nmodel=200) #standard BMA PIPs and coefficients from the MCMC sampling chain, based on # ...how frequently the models were drawn coef(mm) #standardized coefficients, ordered by index coef(mm,std.coefs=TRUE,order.by.pip=FALSE) #coefficients conditional on inclusion: coef(mm,condi.coef=TRUE) #same as ests=coef(mm,condi.coef=FALSE) ests[,2]/ests[,1] #PIPs, coefficients, and signs based on the best 200 models estimates.bma(mm,exact=TRUE) #... and based on the 50 best models coef(mm[1:50],exact=TRUE) } \seealso{ \code{\link{bms}} for creating bma objects, \code{\link{pmp.bma}} for comparing MCMC frequencies and marginal likelihoods. Check \url{http://bms.zeugner.eu} for additional help. } \keyword{models} BMS/man/topmod-class.Rd0000644000176200001440000000425514270472371014357 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/zzz.R \docType{class} \name{topmod-class} \alias{topmod-class} \title{Class "topmod"} \description{ An updateable list keeping the best x models it encounters in any kind of model iteration } \section{Objects from the Class}{ Objects can be created by calls to \code{\link{topmod}}, or indirectly by calls to \code{\link{bms}}.\cr A 'topmod' object (as created by \code{topmod}) holds three basic vectors: \code{lik} (for the (log) likelihood of models or similar), \code{bool()} for a hexcode presentation of the model binaries (cf. \code{\link{bin2hex}}) and ncount() for the times the models have been drawn.\cr All these vectors are sorted descendantly by \code{lik}, and are of the same length. The maximum length is limited by the argument \code{nbmodels}. If \code{tmo} is a topmod object, then a call to \code{tmo$addmodel} (e.g. \code{tmo$addmodel(mylik=4,vec01=c(T,F,F,T))} updates the object \code{tmo} by a model represented by \code{vec01} (here the one including the first and fourth regressor) and the marginal (log) likelihood \code{lik} (here: 4).\cr If this model is already part of \code{tmo}, then its respective \code{ncount} entry is incremented by one; else it is inserted into a position according to the ranking of \code{lik}.\cr In addition, there is the possibility to save (the first moments of) coefficients of a model (\code{betas}) and their second moments (\code{betas2}), as well as an arbitrary vector of statistics per model (\code{fixed_vector}).\cr } \examples{ tm= topmod(2,4,TRUE,0) #should keep a maximum two models tm$addmodel(-2.3,c(1,1,1,1),1:4,5:8) #update with some model tm$addmodel(-2.2,c(0,1,1,1),1:3,5:7) #add another model tm$addmodel(-2.2,c(0,1,1,1),1:3,5:7) #add it again -> adjust ncount tm$addmodel(-2.5,c(1,0,0,1),1:2,5:6) #add another model #read out tm$lik() tm$ncount() tm$bool_binary() tm$betas() } \references{ \url{http://bms.zeugner.eu} } \seealso{ \code{\link{topmod}} to create \code{topmod} objects and a more detailed description, \code{\link{is.topmod}} to test for this class } \author{ Martin Feldkircher and Stefan Zeugner } \keyword{classes} BMS/man/variable.names.bma.Rd0000644000176200001440000000201414272455012015361 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{variable.names.bma} \alias{variable.names.bma} \alias{model.frame.bma} \title{Variable names and design matrix} \usage{ \method{variable.names}{bma}(object, ...) } \arguments{ \item{object}{A \code{bma} object (as produced by \code{\link{bms}})} \item{...}{further arguments passed to or from other methods} } \description{ Simple utilities retrieving variable names and design matrix from a bma object } \details{ All functions are \code{bma}-functions for the generic methods \code{\link{variable.names}}, \code{\link{deviance}}, and \code{\link{model.frame}}. } \examples{ data(datafls) bma_enum=bms(datafls[1:20,1:10]) model.frame(bma_enum) # similar to bma_enum$arguments$X.data variable.names(bma_enum)[-1] # is equivalent to bma_enum$reg.names } \seealso{ \code{\link{bms}} for creating bma objects Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/zlm-class.Rd0000644000176200001440000000162214262367661013660 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/zzz.R \docType{class} \name{zlm-class} \alias{zlm-class} \title{Class "zlm"} \description{ A list holding output from the Bayesian Linar Model under Zellner's g prior akin to class 'lm' } \section{Objects from the Class}{ Objects can be created via calls to \code{\link{zlm}}, but indirectly also via \code{\link{as.zlm}}.\cr \code{\link{zlm}} estimates a Bayesian Linear Model under Zellner's g prior - its output is very similar to objects of class \code{\link{lm}} (cf. section 'Value') } \references{ \url{http://bms.zeugner.eu} } \seealso{ \code{\link{zlm}} and \code{\link{as.zlm}} for creating \code{zlm} objects,\cr \code{\link{density.zlm}}, \code{\link{predict.zlm}} and \code{\link{summary.zlm}} for other posterior results } \author{ Martin Feldkircher and Stefan Zeugner } \keyword{classes} BMS/man/image.bma.Rd0000644000176200001440000000443314272001550013555 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{image.bma} \alias{image.bma} \title{Plot Signs of Best Models} \usage{ \method{image}{bma}( x, yprop2pip = FALSE, order.by.pip = TRUE, do.par = TRUE, do.grid = TRUE, do.axis = TRUE, cex.axis = 1, ... ) } \arguments{ \item{x}{a list of class bma (cf. \code{\link{bms}} for further details)} \item{yprop2pip}{if \code{yprop2pip=TRUE} then the grid lines on the vertical axis are scaled according to the coefficients' inclusion probabilites.\cr If \code{yprop2pip=FALSE} (default) then the grid lines on the vertical axis are equidistant.} \item{order.by.pip}{with \code{order.by.pip=TRUE} (default), coefficients are sorted according to their posterior inclusion probabilites along the vertical axis. If \code{order.by.pip=FALSE} they are ordered as they were provided to \code{\link{bms}}.} \item{do.par}{Defaults to \code{do.par=TRUE}, which adjusts \code{\link{par}()$mar} for optimal positioning. Set \code{do.par=FALSE} for customizing \code{par} yourself.} \item{do.grid}{\code{do.grid=TRUE} (default) plots grid lines among the chart's boxes, akin to the low level command \code{\link{grid}}. \code{do.grid=FALSE} omits the grid lines.} \item{do.axis}{\code{do.axis=TRUE} (default) plots axis tick marks and labels (cf. \code{\link{axis}}). \code{do.axis=FALSE} omits them.} \item{cex.axis}{font size for the axes (cf. \code{\link{axis}}), defaults to 1} \item{\dots}{Parameters to be passed on to \code{\link{image.default}}.} } \description{ Plots a grid with signs and inclusion of coefficients vs. posterior model probabilities for the best models in a 'bma' object: } \details{ Under default settings, blue corresponds to positive sign, red to a negative sign, white to non-inclusion. } \examples{ data(datafls) model=bms(datafls,nmodel=200) #plot all models image(model,order.by.pip=FALSE) image(model,order.by.pip=TRUE,cex.axis=.8) #plot best 7 models, with other colors image(model[1:7],yprop2pip=TRUE,col=c("black","lightgrey")) } \seealso{ \link{coef.bma} for the coefficients in matrix form, \link{bms} for creating 'bma' objects. Check \url{http://bms.zeugner.eu} for additional help. } \keyword{hplot} BMS/man/fullmodel.ssq.Rd0000644000176200001440000000250614272455613014541 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{fullmodel.ssq} \alias{fullmodel.ssq} \title{OLS Statistics for the Full Model Including All Potential Covariates} \usage{ fullmodel.ssq(yX.data) } \arguments{ \item{yX.data}{a bma object (cf. \code{\link{bms}}) - alternatively a \link{data.frame} or \link{matrix} whose first column is the dependent variable} } \value{ Returns a list with some basic OLS statistics \item{R2}{The R-squared of the full model} \item{ymy}{The sum of squares of residuals of the full model} \item{ypy}{The explained sum of squares of the full model} \item{yty}{The sum of squares of the (demeaned) dependent variable} \item{Fstat}{The F-statistic of the full model} } \description{ A utility function for reference: Returns a list with R2 and sum of squares for the OLS model encompassing all potential covariates that are included in a bma object. } \note{ This function is just for quick comparison; for proper OLS estimation consider \code{\link{lm}} } \examples{ data(datafls) mm=bms(datafls) fullmodel.ssq(mm) #equivalent: fullmodel.ssq(datafls) } \seealso{ \code{\link{bms}} for creating bma objects, \code{\link{lm}} for OLS estimation Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/gdensity.Rd0000644000176200001440000001124414272001550013561 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{gdensity} \alias{gdensity} \title{Posterior Density of the Shrinkage Factor} \usage{ gdensity(x, n = 512, plot = TRUE, addons = "zles", addons.lwd = 1.5, ...) } \arguments{ \item{x}{A bma object (see \code{\link{bms}}).} \item{n}{The integer number of equally spaced points at which the density is to be estimated. see 'Details' below} \item{plot}{logical. If \code{TRUE} (default), the density is plotted; if \code{FALSE} then \code{gdensity} only returns the estimated posterior density without plotting.} \item{addons}{character, defaulting to \code{"zles"}. Specifies which additional information should be added to the plot via low-level commands (see 'Details' below).} \item{addons.lwd}{scalar, default 1.5. Line width to be used for the low-level plotting commands specified by \code{addons}. Cf. argument \code{lwd} in \code{\link{par}}} \item{\dots}{Additional arguments for \code{\link{plot.default}} with sensible defaults} } \value{ \code{gdensity} returns an object of the class \code{\link{density}} detailing the posterior mixture density of the shrinkage factor. } \description{ Calculates the mixture marginal posterior density for the shrinkage factor (g/(1+g)) from a BMA object under the hyper-g prior and plots it } \details{ The function \code{gdensity} estimates and plots the posterior density for the shrinkage factor \eqn{g/(1+g)}\cr This is evidently only possible if the shrinkage factor if not fixed, i.e. if the bma object \code{x} was estimated with a hyper-g prior - cf. argument \code{g} in \code{\link{bms}}\cr The density is based only on the best models retained in the bma object \code{x}, cf. argument \code{nmodel} in \code{\link{bms}}\cr A note on argument \code{n}: The points at which the density is estimated start at \eqn{max(0,E-5*SD)}, where \eqn{E} and \eqn{SD} are the expected value and standard deviation of the shrinkage factor, respectively. For plotting the entire domain \eqn{(0,1)} use \code{xlim=c(0,1)} as an argument for \code{gdensity}. The argument \code{addons} specifies what additional information should be added to the plot(s) via the low-level commands \code{\link{lines}} and \code{\link{legend}}:\cr \code{"e"} for the posterior expected value (EV) of the shrinkage factor,\cr \code{"s"} for 2 times posterior standard deviation (SD) bounds,\cr \code{"m"} for the posterior median,\cr \code{"f"} for posterior expected values of the individual models whom the density is averaged over,\cr \code{"z"} for a zero line, \code{"l"} for including a \code{\link{legend}}\cr The following two are only possible if the bma object collected statistics on shrinkage, cf. argument \code{g.stats} in \code{\link{bms}} \code{"E"} for posterior expected value under MCMC frequencies (see argument \code{exact} in \code{\link{coef.bma}}),\cr \code{"S"} for the corresponding 2 times standard deviation bounds (MCMC),\cr Any combination of these letters will give the desired result. Use \code{addons=""} for not using any of these. } \note{ The computed marginal posterior density is a Bayesian Model Averaging mixture of the marginal posterior densities of the shrinkage factor under individual models. The accuracy of the result therefore depends on the number of 'best' models contained in \code{x} (cf. argument \code{nmodel} in \code{\link{bms}}). Correspondingly, the posterior EV and SD specified by \code{addons="es"} are based on 'best' model likelihoods ('exact') and are conditional on inclusion. The low-level commands enacted by the argument \code{addons} rely on colors of the \code{\link{palette}}: color 2 for \code{"e"} and \code{"s"}, color 3 for \code{"m"}, color 8 for \code{"f"}, color 4 for \code{"E"} and \code{"S"}. The default colors may be changed by a call to \code{\link{palette}}. } \examples{ data(datafls) mm=bms(datafls,g="hyper=UIP") gdensity(mm) # default plotting # the grey bars represent expected shrinkage factors of the individual models gdensity(mm,addons="lzfes") # #plotting the median 'm' and the posterior mean and bounds based on MCMC results: gdensity(mm,addons="zSEm",addons.lwd=2) # plot the posterior shrinkage density only for the very best model gdensity(mm[1],addons="esz") #using the calculated density for other purposes... dd=gdensity(mm,plot=FALSE) plot(dd) } \seealso{ \code{\link{density.bma}} for computing coefficient densities, \code{\link{bms}} for creating bma objects, \code{\link{density}} for the general method Check \url{http://bms.zeugner.eu} for additional help. } \keyword{aplot} \keyword{utilities} BMS/man/plot.bma.Rd0000644000176200001440000000205414272001550013446 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{plot.bma} \alias{plot.bma} \title{Plot Posterior Model Size and Model Probabilities} \usage{ \method{plot}{bma}(x, ...) } \arguments{ \item{x}{an object of class 'bma'} \item{\dots}{additional arguments for \code{\link{matplot}}} } \value{ combines the plotting functions \code{\link{plotModelsize}} and \code{\link{plotConv}} } \description{ Produces a combined plot: upper row shows prior and posterior model size distribution, lower row shows posterior model probabilities for the best models } \note{ The upper plot shows the prior and posterior distribution of model sizes (\code{\link{plotModelsize}}).\cr The lower plot is an indicator of how well the bma object has converged (\code{\link{plotConv}}). and Paul } \examples{ data(datafls) mm=bms(datafls,user.int=FALSE) plot(mm) } \seealso{ \code{\link{plotModelsize}} and \code{\link{plotConv}} Check \url{http://bms.zeugner.eu} for additional help. } \keyword{hplot} BMS/man/plotComp.Rd0000644000176200001440000000462414272001550013534 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{plotComp} \alias{plotComp} \title{Compare Two or More bma Objects} \usage{ plotComp( ..., varNr = NULL, comp = "PIP", exact = FALSE, include.legend = TRUE, add.grid = TRUE, do.par = TRUE, cex.xaxis = 0.8 ) } \arguments{ \item{\dots}{one or more objects of class 'bma' to be compared. \code{plotComp} passes on any other parameters in \code{\dots{}} to \code{\link{matplot}}.} \item{varNr}{optionally, covariate indices to be included in the plot, can be either integer vector or character vector - see examples} \item{comp}{a character denoting what should be compared: \code{comp="PIP"} (default) for posterior inclusion probabilities, \code{comp="Post Mean"} for coefficients, \code{comp="Post SD"} for their standard deviations, \code{comp="Std Mean"} or standardized coefficients, or \code{comp="Std SD"} for standardized standard deviations} \item{exact}{if \code{FALSE}, the statistics to be compared are based on aggregate bma statistics, if \code{TRUE}, they are based solely on the best models retained in the bma objects} \item{include.legend}{whether to include a default legend in the plot (custom legends can be added with the command \code{\link{legend}})} \item{add.grid}{whether to add a \code{\link{grid}} to the plot} \item{do.par}{whether to adjust \code{par("mar")} in order to fit in the tick labels on the x-axis} \item{cex.xaxis}{font size scaling parameter for the x-axis - cf. argument \code{cex.axis} in \code{\link{par}}} } \description{ Plots a comparison of posterior inclusion probabilites, coefficients or their standard deviation between various bma objects } \examples{ ## sample two simple bma objects data(datafls) mm1=bms(datafls[,1:15]) mm2=bms(datafls[,1:15]) #compare PIPs plotComp(mm1,mm2) #compare standardized coefficeitns plotComp(mm1,mm2,comp="Std Mean") #...based on the lieklihoods of best models plotComp(mm1,mm2,comp="Std Mean",exact=TRUE) #plot only PIPs for first four covariates plotComp(mm1,mm2,varNr=1:4, col=c("black","red")) #plot only coefficients for covariates 'GDP60 ' and 'LifeExp' plotComp(mm1,mm2,varNr=c("GDP60", "LifeExp"),comp="Post Mean") } \seealso{ \code{\link{coef.bma}} for the underlying function Check \url{http://bms.zeugner.eu} for additional help. } \keyword{hplot} BMS/man/datafls.Rd0000644000176200001440000000644414273171742013373 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/data.R \docType{data} \name{datafls} \alias{datafls} \title{FLS (2001) growth data} \format{ A data frame with 53940 rows and 10 variables: A data frame with 72 observations on the following 42 variables. \describe{ \item{\code{y}}{numeric: Economic growth 1960-1992 as from the Penn World Tables Rev 6.0} \item{\code{Abslat}}{numeric: Absolute latitude} \item{\code{Spanish}}{numeric: Spanish colony dummy} \item{\code{French}}{numeric: French colony dummy} \item{\code{Brit}}{numeric: British colony dummy} \item{\code{WarDummy}}{numeric: War dummy} \item{\code{LatAmerica}}{numeric: Latin America dummy} \item{\code{SubSahara}}{numeric; Sub-Sahara dummy} \item{\code{OutwarOr}}{numeric: Outward Orientation} \item{\code{Area}}{numeric: Area surface} \item{\code{PrScEnroll}}{numeric: Primary school enrolment} \item{\code{LifeExp}}{numeric: Life expectancy} \item{\code{GDP60}}{numeric: Initial GDP in 1960} \item{\code{Mining}}{numeric: Fraction of GDP in mining} \item{\code{EcoOrg}}{numeric: Degree of capitalism} \item{\code{YrsOpen}}{numeric: Number of years having an open economy} \item{\code{Age}}{numeric: Age} \item{\code{Buddha}}{numeric: Fraction Buddhist} \item{\code{Catholic}}{numeric: Fraction Catholic} \item{\code{Confucian}}{numeric: Fraction Confucian} \item{\code{EthnoL}}{numeric: Ethnolinguistic fractionalization} \item{\code{Hindu}}{numeric: Fraction Hindu} \item{\code{Jewish}}{numeric: Fraction Jewish} \item{\code{Muslim}}{numeric: Fraction Muslim} \item{\code{PrExports}}{numeric: Primary exports 1970} \item{\code{Protestants}}{numeric: Fraction Protestants} \item{\code{RuleofLaw}}{numeric: Rule of law} \item{\code{Popg}}{numeric: Population growth} \item{\code{WorkPop}}{numeric: workers per inhabitant} \item{\code{LabForce}}{numeric: Size of labor force} \item{\code{HighEnroll}}{numeric: Higher education enrolment} \item{\code{PublEdupct}}{numeric: Public education share} \item{\code{RevnCoup}}{numeric: Revolutions and coups} \item{\code{PolRights}}{numeric: Political rights} \item{\code{CivlLib}}{numeric: Civil liberties} \item{\code{English}}{numeric: Fraction speaking English} \item{\code{Foreign}}{numeric: Fraction speaking foreign language} \item{\code{RFEXDist}}{numeric: Exchange rate distortions} \item{\code{EquipInv}}{numeric: Equipment investment} \item{\code{NequipInv}}{numeric: Non-equipment investment} \item{\code{stdBMP}}{numeric: stand. dev. of black market premium} \item{\code{BlMktPm}}{numeric: black market premium} } } \source{ Fernandez, C., Ley, E., and Steel, M. F. (2001b). Model Uncertainty in Cross-Country Growth Regressions. Journal of Applied Econometrics, 16:563-576. Data set from \url{https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/steel/steel_homepage/software}. A working paper version of Fernandez, Ley and Steel (2001) is available via \url{https://econpapers.repec.org/article/jaejapmet/v_3a16_3ay_3a2001_3ai_3a5_3ap_3a563-576.htm}. } \usage{ datafls } \description{ The economic growth data set from Fernandez, Ley and Steel, Journal of Applied Econometrics 2001 } \keyword{datasets} BMS/man/lps.bma.Rd0000644000176200001440000000376214272001550013275 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{lps.bma} \alias{lps.bma} \title{Log Predictive Score} \usage{ lps.bma(object, realized.y, newdata = NULL) } \arguments{ \item{object}{an object of class \code{\link{pred.density}}, or class \code{bma} (cf. \code{\link{bms}}), or class \code{\link{zlm}}} \item{realized.y}{a vector with realized values of the dependent variables to be plotted in addition to the predictive density, must have its length conforming to \code{newdata}} \item{newdata}{Needs to be provided if \code{object} is not of class \code{\link{pred.density}}: a data.frame, matrix or vector containing variables with which to predict.} } \value{ A scalar denoting the log predictive score } \description{ Computes the Log Predictive Score to evaluate a forecast based on a bma object } \details{ The log predictive score is an indicator for the likelihood of several forecasts.\cr It is defined as minus the arithmethic mean of the logarithms of the point densities for \code{realized.y} given \code{newdata}.\cr Note that in most cases is more efficient to first compute the predictive density object via a call to \code{\link{pred.density}} and only then pass the result on to \code{lps.bma}. } \examples{ data(datafls) mm=bms(datafls,user.int=FALSE,nmodel=100) #LPS for actual values under the used data (static forecast) lps.bma(mm, realized.y=datafls[,1] , newdata=datafls[,-1]) #the same result via predicitve.density pd=pred.density(mm, newdata=datafls[,-1]) lps.bma(pd,realized.y=datafls[,1]) # similarly for a linear model (not BMA) zz = zlm(datafls) lps.bma(zz, realized.y=datafls[,1] , newdata=datafls[,-1]) } \seealso{ \code{\link{pred.density}} for constructing predictive densities, \code{\link{bms}} for creating \code{bma} objects, \code{\link{density.bma}} for plotting coefficient densities Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/predict.zlm.Rd0000644000176200001440000000364414272001550014173 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{predict.zlm} \alias{predict.zlm} \title{Predict Method for zlm Linear Model} \usage{ \method{predict}{zlm}(object, newdata = NULL, se.fit = FALSE, ...) } \arguments{ \item{object}{a zlm linear model object - see \code{\link{zlm}}} \item{newdata}{An optional data.frame, matrix or vector containing variables with which to predict. If omitted, then (the expected values of) the fitted values are returned.} \item{se.fit}{A switch indicating if the standard deviations for the predicted varaibles are required.} \item{\dots}{further arguments passed to or from other methods.} } \value{ A vector with (expected values of) fitted values.\cr If \code{se.fit} is \code{TRUE}, then the output is a list with the following elements: \item{fit}{ a vector with the expected values of fitted values} \item{std.err}{ a vector with the standard deviations of fitted values} \item{se.fit}{ a vector with the standard errors without the residual scale akin to \code{se.fit} in \code{\link{predict.lm}} } \item{residual.scale}{ The part from the standard deviations that involves the identity matrix. Note that \code{sqrt(se.fit^2+residual.scale^2)} yields \code{std.err}. } } \description{ Expected value (And standard errors) of predictions based on 'zlm' linear Bayesian model under Zellner's g prior } \examples{ data(datafls) mm=zlm(datafls,g="EBL") predict(mm) #fitted values predict(mm, newdata=1:41) #prediction based on a 'new data point' #prediction based on a 'new data point', with 'standard errors' predict(mm, newdata=datafls[1,], se.fit=TRUE) } \seealso{ \code{\link{bms}} for creating zlm objects, \code{\link{predict.lm}} for a comparable function, \code{\link{predict.bma}} for predicting with bma objects Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/mprior-class.Rd0000644000176200001440000000273214262367661014371 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/zzz.R \docType{class} \name{mprior-class} \alias{mprior-class} \title{Class "mprior"} \description{ An object pertaining to a BMA model prior } \section{Objects from the Class}{ An \code{mprior} object holds descriptions and subfunctions pertaining to model priors. The BMA functions \code{\link{bms}} and post-processing functions rely on this class. \cr There are currently five model prior structures built into the BMS package, generated by the following functions (cf. the appendix of \code{vignette(BMS)}): \cr \code{mprior.uniform.init}: creates a uniform model prior object.\cr \code{mprior.fixedt.init}: creates the popular binomial model prior object with common inclusion probabilities.\cr \code{mprior.randomt.init}: creates a beta-binomial model prior object.\cr \code{mprior.pip.init}: creates a binomial model prior object that allows for defining individual prior inclusion probabilities.\cr \code{mprior.customk.init}: creates a model prior object that allows for defining a custom prior for each model parameter size.\cr The following describes the necessary slots: } \seealso{ \code{\link{bms}} for creating \code{bma} objects. \cr Check the appendix of \code{vignette(BMS)} for a more detailed description of built-in priors.\cr Check \url{http://bms.zeugner.eu/custompriors.php} for examples. } \author{ Martin Feldkircher and Stefan Zeugner } \keyword{classes} BMS/man/summary.zlm.Rd0000644000176200001440000000360714262370231014241 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{summary.zlm} \alias{summary.zlm} \title{Summarizing Linear Models under Zellner's g} \usage{ \method{summary}{zlm}(object, printout = TRUE, ...) } \arguments{ \item{object}{an object of class \code{zlm}: see "Examples" below} \item{printout}{If \code{TRUE} (default, then information is printed to console in a neat form} \item{\dots}{further arguments passed to or from other methods} } \value{ A \code{\link{list}} with the following elements \item{residuals}{ The expected value of residuals from the model} \item{coefficients}{The posterior expected values of coefficients (including the intercept) } \item{coef.sd}{Posterior standard deviations of the coefficients (the intercept SD is \code{NA}, since an improper prior was used)} \item{gprior}{The g prior as it has been submitted to \code{object}} \item{E.shrinkage}{the shrinkage factor \eqn{g/(1+g)}, respectively its posterior expected value in case of a hyper-g prior} \item{SD.shrinkage}{(Optionally) the shrinkage factor's posterior standard deviation (in case of a hyper-g prior)} \item{log.lik}{The log marginal likelihood of the model} } \description{ summary method for class "\code{zlm}" } \details{ \code{summary.zlm} prints out coefficients expected values and their standard deviations, as well as information on the gprior and the log marginal likelihood. However, it invisibly returns a list with elements as described below: } \examples{ data(datafls) #simple example foo = zlm(datafls) summary(foo) sfoo = summary(foo,printout=FALSE) print(sfoo$E.shrinkage) } \seealso{ \code{\link{zlm}} for creating \code{zlm} objects, \code{link{summary.lm}} for a similar function on OLS models See also \url{http://bms.zeugner.eu} for additional help. } \author{ Stefan Zeugner } \keyword{utilities} BMS/man/predict.bma.Rd0000644000176200001440000000402114272001550014116 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{predict.bma} \alias{predict.bma} \title{Predict Method for bma Objects} \usage{ \method{predict}{bma}(object, newdata = NULL, exact = FALSE, topmodels = NULL, ...) } \arguments{ \item{object}{a bma object - see \code{\link{bms}}} \item{newdata}{An optional data.frame, matrix or vector containing variables with which to predict. If omitted, then (the expected values of) the fitted values are returned.} \item{exact}{If \code{FALSE} (default), then prediction is based on all models (i.e. on their MCMC frequencies in case the \code{\link{bms}} parameter \code{mcmc} was set to an mcmc sampler.\cr If \code{TRUE}, then prediction is based on analytical likelihoods of the best models retained in \code{object} - cf. \code{\link{bms}} parameter \code{nmodel}.} \item{topmodels}{index of the models with whom to predict: for instance, \code{topmodels=1} predicts based solely on the best model, whereas \code{topmodels=1:5} predicts based on a combination of the five best models.\cr Note that setting \code{topmodels} triggers \code{exact=TRUE}.} \item{\dots}{further arguments passed to or from other methods.} } \value{ A vector with (expected values of) fitted values. } \description{ Expected value of prediction based on 'bma' object } \examples{ data(datafls) mm=bms(datafls,user.int=FALSE) predict(mm) #fitted values based on MCM frequencies predict(mm, exact=TRUE) #fitted values based on best models predict(mm, newdata=1:41) #prediction based on MCMC frequencies predict(mm, newdata=datafls[1,], exact=TRUE) #prediction based on a data.frame # the following two are equivalent: predict(mm, topmodels=1:10) predict(mm[1:10], exact=TRUE) } \seealso{ \code{\link{coef.bma}} for obtaining coefficients, \code{\link{bms}} for creating bma objects, \code{\link{predict.lm}} for a comparable function Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/variable.names.zlm.Rd0000644000176200001440000000223514272001550015423 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{variable.names.zlm} \alias{variable.names.zlm} \alias{vcov.zlm} \alias{logLik.zlm} \title{Variable names and design matrix} \usage{ \method{variable.names}{zlm}(object, ...) } \arguments{ \item{object}{A \code{bma} object (as produced by \code{\link{bms}})} \item{...}{further arguments passed to or from other methods} } \description{ Simple utilities retrieving variable names and design matrix from a bma object } \details{ \code{variable.names.zlm}: method \code{\link{variable.names}} for a \code{\link{zlm}} model. \cr \code{vcov.zlm}: the posterior variance-covariance matrix of the coefficients of a \code{\link{zlm}} model - cf. \code{\link{vcov}} \cr \code{logLik.zlm}: a \code{\link{zlm}} model's log-likelihood \code{p(y|M)} according to the implementation of the respective coefficent prior \cr } \examples{ data(datafls) zz=zlm(datafls) variable.names(zz) vcov(zz) logLik(zz) } \seealso{ \code{\link{zlm}} for creating \code{zlm} objects Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/pred.density.Rd0000644000176200001440000000736014272001550014347 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{pred.density} \alias{pred.density} \alias{pred.density-class} \alias{print.pred.density} \title{Predictive Densities for bma Objects} \usage{ pred.density(object, newdata = NULL, n = 300, hnbsteps = 30, ...) } \arguments{ \item{object}{a bma object - see \code{\link{bms}}, alternativel a \code{\link{zlm}} object} \item{newdata}{A data.frame, matrix or vector containing variables with which to predict.} \item{n}{The integer number of equally spaced points at which the density is to be estimated.} \item{hnbsteps}{The number of numerical integration steps to be used in case of a hyper-g prior (cf. argument \code{g} in \code{\link{bms}}). Increase this number to increase accuracy. Must be an even integer.} \item{\dots}{arguments to be passed on to \code{\link{plot.density}}.} } \value{ \code{pred.density} returns a list of class \code{pred.density} with the following elements \item{densities()}{a list whose elements each contain the estimated density for each forecasted observation} \item{fit}{a vector with the expected values of the predictions (the 'point forecasts')} \item{std.err}{a vector with the standard deviations of the predictions (the 'standard errors')} \item{dyf(realized.y, predict_index=NULL)}{Returns the densities of realized response variables provided in \code{realized.y}. \cr If \code{realized.y} is a matrix, then each row corresponds to a forecast observation in \code{newdata}\cr if not left empty, \code{predict.index} specifies to which observations in newdata the realized.y should apply} \item{lps(realized.y, predict_index=NULL)}{Computes the log predictive score for the response varaible provided in \code{realized.y} (cf. \code{\link{lps.bma}}) -\cr Note that the LPS equals minus the mean of the logarithmized results from \code{dyf}) } \item{plot((x, predict_index = NULL, addons = "eslz", realized.y = NULL, addons.lwd = 1.5, ...)}{the same as \code{plot.pred.density}} \item{n}{The number of equally spaced points for which the density (under \code{densities()} was computed.} \item{nmodel}{The number of best models predictive densities are based upon.} \item{call}{the call that created this \code{pred.density} object} } \description{ Predictive densities for conditional forecasts } \details{ The predictive density is a mixture density based on the \code{nmodels} best models in a \code{bma} object (cf. \code{nmodel} in \code{\link{bms}}).\cr The number of 'best models' to retain is therefore vital and should be set quite high for accuracy. } \note{ In BMS version 0.3.0, \code{pred.density} may only cope with built-in \code{gprior}s, not with any user-defined priors. } \examples{ data(datafls) mm=bms(datafls,user.int=FALSE) #predictive densityfor two 'new' data points pd=pred.density(mm,newdata=datafls[1:2,]) #fitted values based on best models, same as predict(mm, exact=TRUE) pd$fit #plot the density for the first forecast observation plot(pd,1) # the same plot ' naked' plot(pd$densities()[[1]]) #predict density for the first forecast observation if the dep. variable is 0 pd$dyf(0,1) #predict densities for both forecasts for the realizations 0 and 0.5 pd$dyf(rbind(c(0,.5),c(0,.5))) # calc. Log Predictive Score if both forecasts are realized at 0: lps.bma(pd,c(0,0)) } \seealso{ \code{\link{predict.bma}} for simple point forecasts, \code{plot.pred.density} for plotting predictive densities, \code{\link{lps.bma}} for calculating the log predictive score independently, \code{\link{quantile.pred.density}} for extracting quantiles Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/pmp.bma.Rd0000644000176200001440000001131514272001547013272 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{pmp.bma} \alias{pmp.bma} \title{Posterior Model Probabilities} \usage{ pmp.bma(bmao, oldstyle = FALSE) } \arguments{ \item{bmao}{A bma object (see argument \code{nmodel} in \code{\link{bms}}), alternatively an object of class \code{\link{topmod}}} \item{oldstyle}{For normal use, leave this at \code{FALSE}. It is an argument for compatibility with older BMS versions - see section 'Notes'} } \value{ the result is a matrix, its row names describe the model binaries\cr There are two columns in the matrix: \item{PMP (Exact)}{posterior model probabilities based on the posterior likelihoods of the best models in \code{bmao} } \item{PMP (MCMC)}{posterior model probabilities of the best models in \code{bmao} based on their MCMC frequencies, relative to all models encountered by \code{bmao} - see 'Details' } } \description{ Returns the posterior model probabilites for the best models encountered by a 'bma' object } \details{ A call to bms with an MCMC sampler (e.g. \code{bms(datafls,mcmc="bd",nmodel=100)} uses a Metropolis-Hastings algorithm to sample through the model space - and the frequency of how often models are drawn converges to the distribution of their posterior marginal likelihoods. While sampling, each 'bma' object stores the best models encountered by its sampling chain with their marginal likelihood and their MCMC frequencies. \code{pmp.bma} then allows for comparing the posterior model probabilities (PMPs) for the two different methods, similar to \code{\link{plotConv}}. It calculates the PMPs based on marginal likelihoods (first column) and the PMPs based on MCMC frequencies (second column) for the best x models stored in the bma object. The correlation of the two columns is an indicator of how well the MCMC sampler has converged to the actual PMP distribution - it is therefore also given in the output of \code{\link{summary.bma}}. The second column is slightly different in case the \code{\link{bms}} argument \code{mcmc} was set to \code{mcmc="enumeration"}: In this case, the second column is also based on marginal likelihoods. The correlation between the two columns is therefore one. } \note{ The second column thus shows the PMPs of the best models relative to all models the call to \code{\link{bms}} has sampled through (therefore typically the second column adds up to less than one). The first column relates to the likelihoods of the best models, therefore it would add up to 1. In order estimate for their marginal likelihoods with respect to the other models (the ones not retained in the best models), these PMP aadding up to one are multiplied with the sum of PMP of the best models accroding to MCMC frequencies. Therefore, the two columns have the same column sum. CAUTION: In package versions up to \code{BMS 0.2.5}, the first column was indeed set always equal to one. This behaviour can still be mimicked by setting \code{oldstyle=TRUE}. } \examples{ ## sample BMA for growth dataset, MCMC sampler data(datafls) mm=bms(datafls[,1:10],nmodel=20, mcmc="bd") ## mmodel likelihoods and MCMC frequencies of best 20 models print(mm$topmod) pmp.bma(mm) #first column: posterior model prob based on model likelihoods, # relative to best models in 'mm' #second column: posterior model prob based MCMC frequencies, # relative to all models encountered by 'mm' #consequently, first column adds up to one #second column shows how much of the sampled model space is # contained in the best models colSums(pmp.bma(mm)) #correlation betwwen the two shows how well the sampler converged cor(pmp.bma(mm)[,1],pmp.bma(mm)[,2]) #is the same as given in summary.bma summary(mm)["Corr PMP"] #plot the two model probabilites plotConv(mm) #equivalent to the following chart plot(pmp.bma(mm)[,2], type="s") lines(pmp.bma(mm)[,1],col=2) #moreover, note how the first column is constructed liks=exp(mm$top$lik()) liks/sum(liks) pmp.bma(mm)[,1] #these two are equivalent #the example above does not converge well, #too few iterations and best models # this is already better, but also not good mm=bms(datafls[,1:10],burn=2000,iter=5000,nmodel=200) # in case the sampler has been 'enumeration' instead of MCMC, # then both matrix columns are of course equivalent mm=bms(datafls[,1:10],nmodel=512,mcmc="enumeration") cor(pmp.bma(mm)[,1],pmp.bma(mm)[,2]) colSums(pmp.bma(mm)) } \seealso{ \code{\link{plotConv}} for plotting \code{pmp.bma}, \code{\link{pmpmodel}} to obtain the PMP for any individual model, \code{\link{bms}} for sampling bma objects Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/pmpmodel.Rd0000644000176200001440000000503614272001550013552 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{pmpmodel} \alias{pmpmodel} \title{Posterior Model Probability for any Model} \usage{ pmpmodel(bmao, model = numeric(0), exact = TRUE) } \arguments{ \item{bmao}{A bma object as created by \code{\link{bms}}.} \item{model}{A model index - either variable names, or a logical with model binaries, or the model hexcode (cf. \code{\link{hex2bin}}, or a numeric with positions of the variables to be included.} \item{exact}{If \code{TRUE}, then the resulting PMP is based on analytical model likelihoods (works for any model). \cr If \code{FALSE}, the the resulting PMP is derived from MCMC frequencies (works only for the null and fullmodel, as well as for models contained in \code{bmao}'s topmod object.\cr If \code{bmao} is based on enumeration (cf. argument \code{mcmc} in \code{\link{bms}}, then \code{exact} does not matter.} } \value{ A scalar with (an estimate of) the posterior model probability for \code{model} } \description{ Returns the posterior model probability for any model based on bma results } \details{ If the model as provided in \code{model} is the null or the full model, or is contained in \code{bmao}'s topmod object (cf. argument \code{nmodel} in \code{\link{bms}}), \cr then the result is the same as in \code{\link{pmp.bma}}.\cr If not and \code{exact=TRUE}, then \code{pmpmodel} estimates the model based on comparing its marginal likelihood (times model prior) to the likelihoods in the \code{topmod} object and multiplying by their sum of PMP according to MCMC frequencies, } \examples{ ## sample BMA for growth dataset, enumeration sampler data(datafls) mm=bms(datafls[,1:10],nmodel=5) #show the best 5 models: pmp.bma(mm) #first column: posterior model prob based on model likelihoods, #second column: posterior model prob based MCMC frequencies, ### Different ways to get the same result: ######### #PMP of 2nd-best model (hex-code representation) pmpmodel(mm,"00c") #PMP of 2nd-best model (binary representation) incls=as.logical(beta.draws.bma(mm)[,2]) pmpmodel(mm,incls) #PMP of 2nd-best model (via variable names) #names of regressors in model "00c": names(datafls[,2:10])[incls] pmpmodel(mm,c("SubSahara", "LatAmerica")) #PMP of 2nd-best model (via positions) pmpmodel(mm,c(6,7)) ####PMP of another model ######### pmpmodel(mm,1:5) } \seealso{ \code{\link{pmp.bma}} for similar functions Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/post.var.Rd0000644000176200001440000000324414272001550013510 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{post.var} \alias{post.var} \alias{post.pr2} \alias{deviance.bma} \alias{deviance.zlm} \title{Posterior Variance and Deviance} \usage{ post.var(object, exact = FALSE, ...) } \arguments{ \item{object}{A \code{bma} object (as produced by \code{\link{bms}}) or a \code{\link{zlm}} object.} \item{exact}{When \code{exact=FALSE}, then \code{deviance} will be based on MCMC frequencies, if \code{exact=TRUE} then it will be based on\cr analytical posterior model probabilities - cf. argument \code{exact} in \code{\link{coef.bma}}.} \item{...}{further arguments passed to or from other methods} } \description{ Returns posterior residual variance, deviance, or pseudo R-squared, according to the chosen prior structure } \details{ \code{post.var}: Posterior residual variance as according to the prior definitions contained in \code{object} \cr \code{post.pr2}: A pseudo-R-squared corresponding to unity minus posterior variance over dependent variance. \cr \code{deviance.bma}: returns the \code{\link{deviance}} of a \code{bma} model as returned from \code{\link{bms}}. \cr \code{deviance.zlm}: returns the \code{\link{deviance}} of a \code{\link{zlm}} model. } \examples{ data(datafls) mm=bms(datafls[,1:10]) deviance(mm)/nrow(datafls) # is equivalent to post.var(mm) post.pr2(mm) # is equivalent to 1 - post.var(mm) / ( var(datafls[,1])*(1-1/nrow(datafls)) ) } \seealso{ \code{\link{bms}} for creating \code{bma} objects and priors, \code{\link{zlm}} object. Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/BMS-package.Rd0000644000176200001440000000337314272501222013752 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/BMS-package.R \docType{package} \name{BMS-package} \alias{BMS} \alias{BMS-package} \title{BMS: Bayesian Model Averaging Library} \description{ Bayesian Model Averaging for linear models with a wide choice of (customizable) priors. Built-in priors include coefficient priors (fixed, hyper-g and empirical priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches. Post-processing functions allow for inferring posterior inclusion and model probabilities, various moments, coefficient and predictive densities. Plotting functions available for posterior model size, MCMC convergence, predictive and coefficient densities, best models representation, BMA comparison. Also includes Bayesian normal-conjugate linear model with Zellner's g prior, and assorted methods. } \details{ The key function you need is \code{\link{bms}}. } \references{ \url{http://bms.zeugner.eu}: BMS package homepage with help and tutorials Feldkircher, M. and S. Zeugner (2015): Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R, Journal of Statistical Software 68(4). Feldkircher, M. and S. Zeugner (2009): Benchmark Priors Revisited: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging, IMF Working Paper 09/202. } \seealso{ \code{\link{coef.bma}}, \code{\link{plotModelsize}} and \code{\link{density.bma}} for some operations on the resulting 'bma' object, as well as \code{\link{predict.bma}} or \code{\link{gdensity}}, or \code{\link{zlm}} for individual Zellner regression models. Check \url{http://bms.zeugner.eu} for additional help. } \author{ Martin Feldkircher, Paul Hofmarcher, and Stefan Zeugner } \keyword{internal} BMS/man/plotModelsize.Rd0000644000176200001440000000446614272001550014575 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{plotModelsize} \alias{plotModelsize} \title{Plot Model Size Distribution} \usage{ plotModelsize( bmao, exact = FALSE, ksubset = NULL, include.legend = TRUE, do.grid = TRUE, ... ) } \arguments{ \item{bmao}{a 'bma' object (cf. \code{\link{bms}})} \item{exact}{if \code{TRUE}, then the posterior model distribution is based on the best models of \code{bmao} and their marginal likelihoods;\cr if \code{FALSE} (default) then the distribution is based on all encountered models and their MCMC frequencies (cf. 'Details' in \code{\link{coef.bma}})} \item{ksubset}{integer vector detailing for which model sizes the plot should be done} \item{include.legend}{if \code{TRUE}, a small legend is included via the low-level command \code{\link{legend}}} \item{do.grid}{if \code{TRUE}, a \code{\link{grid}} is added to the plot (with a simple \code{grid()}).} \item{\dots}{parameters passed on to \code{\link{matplot}} with sensible defaults} } \value{ As a default, \code{plotModelsize} plots the posterior model size distribution as a blue line, and the prior model distribution as a dashed red line.\cr In addition, it returns a list with the following elements: \item{mean}{The posterior expected value of model size} \item{var}{The variance of the posterior model size distribution} \item{dens}{A vector detailing the posterior model size distribution from model size \eqn{0} (the first element) to \eqn{K} (the last element)} } \description{ Plots posterior and prior model size distribution } \examples{ data(datafls) mm=bms(datafls,burn=1500, iter=5000, nmodel=200,mprior="fixed",mprior.size=6) #plot Nb.1 based on aggregate results postdist= plotModelsize(mm) #plot based only on 30 best models plotModelsize(mm[1:30],exact=TRUE,include.legend=FALSE) #plot based on all best models, but showing distribution only for model sizes 1 to 20 plotModelsize(mm,exact=TRUE,ksubset=1:20) # create a plot similar to plot Nb. 1 plot(postdist$dens,type="l") lines(mm$mprior.info$mp.Kdist) } \seealso{ See also \code{\link{bms}}, \code{\link{image.bma}}, \code{\link{density.bma}}, \code{\link{plotConv}} Check \url{http://bms.zeugner.eu} for additional help. } \keyword{hplot} BMS/man/density.bma.Rd0000644000176200001440000001430314272001550014147 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{density.bma} \alias{density.bma} \alias{density.zlm} \title{Coefficient Marginal Posterior Densities} \usage{ \method{density}{bma}( x, reg = NULL, addons = "lemsz", std.coefs = FALSE, n = 300, plot = TRUE, hnbsteps = 30, addons.lwd = 1.5, ... ) } \arguments{ \item{x}{A bma object (see \code{\link{bms}}) or a \code{\link{zlm}} object.} \item{reg}{A scalar integer or character detailing which covariate's coefficient should be plotted. If \code{reg=NULL} (default), then all regressors are plotted one after the other, waiting for user interaction.} \item{addons}{character. Specifies which additional information should be added to the plot via low-level commands (see 'Details' below).} \item{std.coefs}{logical. If \code{TRUE} then the posterior density is estimated for standardized coefficients (representing the case where all variables have mean zero and standard deviation 1) - default is \code{FALSE}.} \item{n}{numeric. the number of equally spaced points at which the density is to be estimated.} \item{plot}{logical. If \code{TRUE} (default), the density is plotted; if \code{FALSE} then \code{density.bma} only returns the estimated posterior densities without plotting.} \item{hnbsteps}{even integer, default 30. The number of numerical integration steps to be used in case of a hyper-g prior (cf. argument \code{g} in \code{\link{bms}}). Increase this number to increase accuracy.} \item{addons.lwd}{scalar, default 1.5. Line width to be used for the low-level plotting commands specified by \code{addons}. Cf. argument \code{lwd} in \code{\link{par}}} \item{\dots}{Additional arguments for \code{\link{plot.default}} with sensible defaults} } \value{ The function returns a list containing objects of the class \code{\link{density}} detailing the marginal posterior densities for each coefficient provided in \code{reg}.\cr In case of \code{density.zlm}, simple marginal posterior coefficient densities are computed, while \code{density.bma} calculates there mixtures over models according to posterior model probabilities.\cr These densities contain only the density points apart from the origin. (see 'Note' below) As long as \code{plot=TRUE}, the densities are plotted too. Note that (for \code{density.bma}) if the posterior inclusion probability of a covariate is zero, then it will not be plotted, and the returned density will be \code{list(x=numeric(n),y=numeric(n))}. } \description{ Calculates the mixture marginal posterior densities for the coefficients from a BMA object and plots them } \details{ The argument \code{addons} specifies what additional information should be added to the plot(s) via the low-level commands \code{\link{lines}} and \code{\link{legend}}:\cr \code{"e"} for the posterior expected value (EV) of coefficients conditional on inclusion (see argument \code{exact=TRUE} in \code{\link{coef.bma}}),\cr \code{"s"} for 2 times posterior standard deviation (SD) bounds,\cr \code{"m"} for the posterior median,\cr \code{"b"} for posterior expected values of the individual models whom the density is averaged over,\cr \code{"E"} for posterior EV under MCMC frequencies (see argument \code{exact=FALSE} in \code{\link{coef.bma}}),\cr \code{"S"} for the corresponding SD bounds (MCMC),\cr \code{"p"} for plotting the Posterior Inclusion Probability above the density plot,\cr \code{"l"} for including a \code{\link{legend}}, \code{"z"} for a zero line, \code{"g"} for adding a \code{\link{grid}} Any combination of these letters will give the desired result. Use \code{addons=""} for not using any of these.\cr In case of \code{density.zlm}, only the letters \code{e}, \code{s}, \code{l}, \code{z}, and \code{g} will have an effect. } \note{ The computed marginal posterior densities from \code{density.bma} are a Bayesian Model Averaging mixture of the marginal posterior densities of the individual models. The accuracy of the result therefore depends on the number of 'best' models contained in \code{x} (cf. argument \code{nmodel} in \code{\link{bms}}). The marginal posterior density can be interpreted as 'conditional on inclusion': If the posterior inclusion probability of a variable is smaller than one, then some of its posterior density is Dirac at zero. Therefore the integral of the returned density vector adds up to the posterior inclusion probability, i.e. the probability that the coefficient is not zero. Correspondingly, the posterior EV and SD specified by \code{addons="es"} are based on 'best' model likelihoods ('exact') and are conditional on inclusion. They correspond to the results from command \code{coef.bma(x,exact=TRUE,condi.coef=TRUE,order.by.pip=FALSE)} (cf. the example below). The low-level commands enacted by the argument \code{addons} rely on colors of the \code{\link{palette}}: color 2 for \code{"e"} and \code{"s"}, color 3 for \code{"m"}, color 8 for \code{"b"}, color 4 for \code{"E"} and \code{"S"}. The default colors may be changed by a call to \code{\link{palette}}. Up to BMS version 0.3.0, \code{density.bma} may only cope with built-in \code{gprior}s, not with any user-defined priors. } \examples{ data(datafls) mm=bms(datafls) density(mm,reg="SubSahara") density(mm,reg=7,addons="lbz") density(mm,1:9) density(mm,reg=2,addons="zgSE",addons.lwd=2,std.coefs=TRUE) # plot the posterior density only for the very best model density(mm[1],reg=1,addons="esz") #using the calculated density for other purposes... dd=density(mm,reg="SubSahara") plot(dd) dd_list=density(mm,reg=1:3,plot=FALSE,n=400) plot(dd_list[[1]]) #Note that the shown density is only the part that is not zero dd=density(mm,reg="Abslat",addons="esl") pip_Abslat=sum(dd$y)*diff(dd$x)[1] #this pip and the EV conform to what is done by the follwing command coef(mm,exact=TRUE,condi.coef=TRUE)["Abslat",] } \seealso{ \code{\link{quantile.coef.density}} for extracting quantiles, \code{\link{coef.bma}} for similar concepts, \code{\link{bms}} for creating bma objects Check \url{http://bms.zeugner.eu} for additional help. } \keyword{aplot} \keyword{utilities} BMS/man/plotConv.Rd0000644000176200001440000000333214272001550013536 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{plotConv} \alias{plotConv} \title{Plot Convergence of BMA Sampler} \usage{ plotConv(bmao, include.legend = TRUE, add.grid = TRUE, ...) } \arguments{ \item{bmao}{an object of class 'bma' - see \code{\link{bms}}} \item{include.legend}{whether to include a \code{\link{legend}} in the plot} \item{add.grid}{whether to include a \code{\link{grid}} in the plot} \item{\dots}{other parameters for \code{\link{matplot}}} } \description{ Plots the posterior model probabilites based on 1) marginal likelihoods and 2) MCMC frequencies for the best models in a 'bma' object and details the sampler's convergence by their correlation } \details{ A call to bms with a MCMC sampler (e.g. \code{bms(datafls,mcmc="bd",nmodel=100)} uses a Metropolis-Hastings algorithm to sample through the model space: the frequency of how often models are drawn converges to the distribution of their posterior marginal likelihoods.\cr While sampling, each 'bma' object stores the best models encountered by its sampling chain with their marginal likelihood and their MCMC frequencies.\cr \code{plotConv} compares the MCMC frequencies to marginal likelihoods, and thus visualizes how well the sampler has converged. } \note{ \code{plotConv} is also used by \code{\link{plot.bma}} } \examples{ data(datafls) mm=bms(datafls[,1:12],user.int=FALSE) plotConv(mm) #is similar to matplot(pmp.bma(mm),type="l") } \seealso{ \code{\link{pmp.bma}} for posterior model probabilites based on the two concepts, \code{\link{bms}} for creating objects of class 'bma' Check \url{http://bms.zeugner.eu} for additional help. } \keyword{aplot} BMS/man/bma-class.Rd0000644000176200001440000000170214262367661013614 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/zzz.R \docType{class} \name{bma-class} \alias{bma-class} \title{Class "bma"} \description{ A list holding results from a BMA iteration chain } \section{Objects from the Class}{ Objects can be created via calls to \code{\link{bms}}, but indirectly also via \code{\link{c.bma}}\cr A \code{bma} object is a list whose elements hold information on input and output for a Bayesian Model Averaging iteration chain, such as from a call to \code{\link{bms}}: } \examples{ data(datafls) mm=bms(datafls) #show posterior model size print(mm$info$msize/mm$info$cumsumweights) #is the same number as in summary(mm) } \references{ \url{http://bms.zeugner.eu} } \seealso{ \code{\link{bms}} for creating \code{bma} objects,\cr or \code{\linkS4class{topmod}} for the topmod object } \author{ Martin Feldkircher and Stefan Zeugner } \keyword{classes} BMS/man/c.bma.Rd0000644000176200001440000000460514272001550012716 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{c.bma} \alias{c.bma} \alias{combine_chains} \title{Concatenate bma objects} \usage{ \method{c}{bma}(..., recursive = FALSE) } \arguments{ \item{\dots}{At least two 'bma' objects (cf. \code{\link{bms}})} \item{recursive}{retained for compatibility with \code{\link{c}} method} } \description{ Combines bma objects (resulting from \code{\link{bms}}). Can be used to split estimation over several machines, or combine the MCMC results obtained from different starting points. } \details{ Aggregates the information obtained from several chains. The result is a 'bma' object (cf. 'Values' in \code{\link{bms}}) that can be used just as a standard 'bma' object.\cr Note that \code{combine_chains} helps in particular to paralllelize the enumeration of the total model space: A model with \eqn{K} regressors has \eqn{2^K} potential covariate combinations: With \eqn{K} large (more than 25), this can be pretty time intensive. With the \code{\link{bms}} arguments \code{start.value} and \code{iter}, sampling can be done in steps: cf. example 'enumeration' below. } \examples{ data(datafls) #MCMC case ############################ model1=bms(datafls,burn=1000,iter=4000,mcmc="bd",start.value=c(20,30,35)) model2=bms(datafls,burn=1500,iter=7000,mcmc="bd",start.value=c(1,10,15)) model_all=c(model1,model2) coef(model_all) plot(model_all) #splitting enumeration ######################## #standard case with 12 covariates (4096 differnt combinations): enum0=bms(datafls[,1:13],mcmc="enumerate") # now split the task: # enum1 does everything from model zero (the first model) to model 1999 enum1=bms(datafls[,1:13],mcmc="enumerate",start.value=0,iter=1999) # enum2 does models from index 2000 to the index 3000 (in total 1001 models) enum2=bms(datafls[,1:13],mcmc="enumerate",start.value=2000,iter=1000) # enum3 does models from index 3001 to the end enum3=bms(datafls[,1:13],mcmc="enumerate",start.value=3001) enum_combi=c(enum1,enum2,enum3) coef(enum_combi) coef(enum0) #both enum_combi and enum0 have exactly the same results #(one difference: enum_combi has more 'top models' (1500 instead of 500)) } \seealso{ \code{\link{bms}} for creating bma objects Check \url{http://bms.zeugner.eu} for additional help. } \keyword{models} BMS/man/gprior-class.Rd0000644000176200001440000000401014262367661014352 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/zzz.R \docType{class} \name{gprior-class} \alias{gprior-class} \title{Class "gprior"} \description{ An object pertaining to a coefficient prior } \section{Objects from the Class}{ A \code{gprior} object holds descriptions and subfunctions pertaining to coefficient priors. Functions such as \code{\link{bms}} or \code{\link{zlm}} rely on this class to 'convert' the output of OLS results into posterior expressions for a Bayesian Linear Model. Post-processing functions such as \code{\link{density.bma}} also resort to gprior objects.\cr There are currently three coefficient prior structures built into the BMS package, generated by the following functions (cf. Feldkircher and Zeugner, 2009) : \cr \code{gprior.constg.init}: creates a Zellner's g-prior object with constant \code{g}.\cr \code{gprior.eblocal.init}: creates an Empricial Bayes Zellner's g-prior.\cr \code{gprior.hyperg.init}: creates a hyper g-prior with a Beta-prior on the shrinkage parameter.\cr The following describes the necessary slots } \examples{ data(datafls) mm1=bms(datafls[,1:10], g="EBL") gg=mm1$gprior.info # is the g-prior object, augmented with some posterior statistics mm2=bms(datafls[,1:10], g=gg) #produces the same result mm3=bms(datafls[,1:10], g=BMS:::.gprior.eblocal.init) #this passes BMS's internal Empirical Bayes g-prior object as the coefficient prior # - any other obejct might be used as well } \references{ Feldkircher, M. and S. Zeugner (2009): Benchmark Priors Revisited: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging, IMF Working Paper 09/202. } \seealso{ \code{\link{bms}} and \code{\link{zlm}} for creating \code{bma} or \code{zlm} objects. \cr Check the appendix of \code{vignette(BMS)} for a more detailed description of built-in priors.\cr Check \url{http://bms.zeugner.eu/custompriors.php} for examples. } \author{ Martin Feldkircher and Stefan Zeugner } \keyword{classes} BMS/man/print.topmod.Rd0000644000176200001440000000444614272001550014376 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{print.topmod} \alias{print.topmod} \title{Printing topmod Objects} \usage{ \method{print}{topmod}(x, ...) } \arguments{ \item{x}{an object of class 'topmod' - see \code{\link{topmod}}} \item{\dots}{additional arguments passed to \code{link{print}}} } \value{ if \code{x} contains more than one model, then the function returns a 2-column matrix: \item{Row Names}{show the model binaries in hexcode } \item{Column 'Marg.Log.Lik'}{shows the marginal log-likelihoods of the models in \code{x}} \item{Column 'MCMC Freq'}{shows the MCMC frequencies of the models in \code{x}} if \code{x} contains only one model, then more detailed information is shown for this model: \item{first line}{'Model Index' provides the model binary in hexcode, 'Marg.Log.Lik' its marginal log likelhood, 'Sampled Freq.' how often it was accepted (function \code{ncount()} in \code{\link{topmod}})} \item{Estimates}{first column: covariate indices included in the model, second column: posterior expected value of the coefficients, third column: their posterior standard deviations (excluded if no coefficients were stored in the topmod object - cf. argument \code{bbeta} in \code{\link{topmod}}) } \item{Included Covariates}{the model binary} \item{Additional Statistics}{any custom additional statistics saved with the model} } \description{ Print method for objects of class 'topmod', typically the best models stored in a 'bma' object } \details{ See \code{\link{pmp.bma}} for an explanation of likelihood vs. MCMC frequency concepts } \examples{ # do some small-scale BMA for demonstration data(datafls) mm=bms(datafls[,1:10],nmodel=20) #print info on the best 20 models print(mm$topmod) print(mm$topmod,digits=10) #equivalent: cbind(mm$topmod$lik(),mm$topmod$ncount()) #now print info only for the second-best model: print(mm$topmod[2]) #compare 'Included Covariates' to: topmodels.bma(mm[2]) #and to as.vector(mm$topmod[2]$bool_binary()) } \seealso{ \code{\link{topmod}} for creating topmod objects, \code{\link{bms}} for their typical use, \code{\link{pmp.bma}} for comparing posterior model probabilities Check \url{http://bms.zeugner.eu} for additional help. } \keyword{print} BMS/man/zlm.Rd0000644000176200001440000000771114262370231012545 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{zlm} \alias{zlm} \title{Bayesian Linear Model with Zellner's g} \usage{ zlm(formula, data = NULL, subset = NULL, g = "UIP") } \arguments{ \item{formula}{an object of class "formula" (or one that can be coerced to that class), such as a data.frame - cf. \code{\link{lm}}} \item{data}{an optional \code{\link{data.frame}} (or one that can be coerced to that class): cf. \code{\link{lm}}} \item{subset}{an optional vector specifying a subset of observations to be used in the fitting process.} \item{g}{specifies the hyperparameter on Zellner's g-prior for the regression coefficients.\cr \code{g="UIP"} corresponds to \eqn{g=N}, the number of observations (default); \code{g="BRIC"} corresponds to the benchmark prior suggested by Fernandez, Ley and Steel (2001), i.e \eqn{g=max(N, K^2)}, where K is the total number of covariates;\cr \code{g="EBL"} estimates a local empirical Bayes g-parameter (as in Liang et al. (2008));\cr \code{g="hyper"} takes the 'hyper-g' prior distribution (as in Liang et al., 2008) with the default hyper-parameter \eqn{a=3}; This hyperparameter can be adjusted (between \eqn{20.2.\cr The default value \code{start.value=NA} corresponds to \code{start.value=min(ncol(X.data),nrow(X.data)-3)}. Note that \code{start.value=0} or \code{start.value=NULL} starts from the null model.\cr If \code{mcmc="enumerate"} then \code{start.value} is the index to start the iteration (default: 0, the null model) . Any number between 0 and \eqn{K^2-1} is admissible.} \item{g.stats}{\code{TRUE} if statistics on the shrinkage factor g/(1+g) should be collected, defaulting to TRUE (Note: set \code{g.stats=FALSE} for faster iteration.)} \item{logfile}{setting \code{logfile=TRUE} produces a logfile named \code{"test.log"} in your current working directory, in order to keep track of the sampling procedure. \code{logfile} equal to some filepath (like \code{logfile="subfolder/log.txt"}) puts the logfile into that specified position. (default: \code{logfile=FALSE}). Note that \code{logfile=""} implies log printouts on the console.} \item{logstep}{specifies at which number of posterior draws information is written to the log file; default: 10 000 iterations} \item{force.full.ols}{default FALSE. If \code{force.full.ols=TRUE}, the OLS estimation part of the sampling procedure relies on slower matrix inversion, instead of streamlined routines. \code{force.full.ols=TRUE} can slow down sampling but may deal better with highly collinear data} \item{fixed.reg}{indices or variable names of \code{X.data} that are fixed regressors to be always included in every sampled model. Note: the parameter \code{mprior.size} refers to prior model size including these fixed regressors.} } \value{ A list of class \code{bma}, that may be displayed using e.g. \code{\link{summary.bma}} or \code{\link{coef.bma}}. The list contains the following elements: \item{info}{a list of aggregate statistics: \code{iter} is the number of iterations, \code{burn} the number of burn-ins.\cr The following have to be divided by \code{cumsumweights} to get posterior expected values: \code{inccount} are the posterior inclusion probabilities, \code{b1mo} and \code{b2mo} the first and second moment of coefficients, \code{add.otherstats} other statistics of interest (typically the moments of the shrinkage factor), \code{msize} is the post. expected model size, \code{k.vec} the posterior model size distribution, \code{pos.sign} the unconditional post. probability of positive coefficients, \code{corr.pmp} is the correlation between the best models' MCMC frequencies and their marg. likelihoods.\cr \code{timed} is the time that was needed for MCMC sampling, \code{cons} is the posterior expected value of the constant. \code{K} and \code{N} are the maximum number of covariates and the sample size, respectively.} \item{arguments}{a list of the evaluated function arguments provided to \code{bms} (see above)} \item{topmod}{a 'topmod' object containing the best drawn models. see \code{\link{topmod}} for more details} \item{start.pos}{the positions of the starting model. If bmao is a'bma' object this corresponds to covariates bmao$reg.names[bmao$start.pos]. If bmao is a chain that resulted from several starting models (cf. \code{\link{c.bma}}, then \code{start.pos} is a list detailing all of them.} \item{gprior.info}{a list of class \code{\link{gprior-class}}, detailing information on the g-prior: \code{gtype} corresponds to argument \code{g} above, \code{is.constant} is FALSE if \code{gtype} is either "hyper" or "EBL", \code{return.g.stats} corresponds to argument \code{g.stats} above, \code{shrinkage.moments} contains the first and second moments of the shrinkage factor (only if \code{return.g.stats==TRUE}), \code{g} details the fixed g (if \code{is.constant==TRUE}), \code{hyper.parameter} corresponds to the hyper-g parameter \eqn{a} as in Liang et al. (2008) } \item{mprior.info}{a list of class \code{\link{mprior-class}}, detailing information on the model prior: \code{origargs} lists the original arguments to \code{mprior} and \code{mprior.size} above; \code{mp.msize} denotes the prior mode size; \code{mp.Kdist} is a (K+1) vector with the prior model size distribution from 0 to K} \item{X.data}{data.frame or matrix: corresponds to argument \code{X.data} above, possibly cleaned for NAs} \item{reg.names}{character vector: the covariate names to be used for X.data (corresponds to \code{\link{variable.names.bma}} } \item{bms.call}{the original call to the \code{bms} function} } \description{ Given data and prior information, this function samples all possible model combinations via MC3 or enumeration and returns aggregate results. } \details{ Ad \code{mcmc}: \cr Interaction sampler: adding an ".int" to an MC3 sampler (e.g. "mcmc="bd.int") provides for special treatment of interaction terms. Interaction terms will only be sampled along with their component variables: In the colnumn names of X.data, interaction terms need to be denominated by names consisting of the base terms separated by \code{#} (e.g. an interaction term of base variables \code{"A"}, \code{"B"} and \code{"C"} needs column name \code{"A#B#C"}). Then variable \code{"A#B#C"} will only be included in a model if all of the component variables ("A", "B", and "C") are included. The MC3 samplers "\code{bd}", "\code{rev.jump}", "\code{bd.int}" and "\code{rev.jump.int}", iterate away from a starting model by adding, dropping or swapping (only in the case of rev.jump) covariates. In an MCMC fashion, they thus randomly draw a candidate model and then move to it in case its marginal likelihood (marg.lik.) is superior to the marg.lik. of the current model. In case the candidate's marg.lik is inferior, it is randomly accepted or rejected according to a probability formed by the ratio of candidate marg.lik over current marg.lik. Over time, the sampler should thus converge to a sensible distribution. For aggregate results based on these MC3 frequencies, the first few iterations are typically disregarded (the 'burn-ins'). Ad \code{g} and the hyper-g prior: The hyper-g prior introduced by Liang et al. (2008) puts a prior distribution on the shrinkage factor \eqn{g/(1+g)}, namely a Beta distribution \eqn{ Beta(1, 1/2-1)} that is governed by the parameter \eqn{a}. \eqn{a=4} means a uniform prior distribution of the shrinkage factor, while \eqn{a>2} close to 2 concentrates the prior shrinkage factor close to one. \cr The prior expected value is \eqn{E(g/1+g)) = 2/a}. In this sense \code{g="hyper=UIP"} and \code{g="hyper=BRIC"} set the prior expected shrinkage such that it conforms to a fixed UIP-g (eqng=N) or BRIC-g (\eqn{g=max(K^2,N)} ). } \note{ There are several ways to speed-up sampling: \code{nmodel=10} saves only the ten best models, at most a marginal improvement. \code{nmodels=0} does not save the best (500) models, however then posterior convergence and likelihood-based inference are not possible. %\code{beta.save=FALSE} saves the best models, but not their coefficients, which renders the use of \code{image.bma} and the paramer \code{exact=TRUE} in functions such as \code{coef.bma} infeasible. \code{g.stats=FALSE} saves some time by not retaining the shrinkage factors for the MC3 chain (and the best models). \code{force.fullobject=TRUE} in contrast, slows sampling down significantly if \code{mcmc="enumerate"}. } \section{Theoretical background}{ The models analyzed are Bayesian normal-gamma conjugate models with improper constant and variance priors akin to Fernandez, Ley and Steel (2001): A model \eqn{M} can be described as follows, with \eqn{\epsilon} ~ \eqn{N(0,\sigma^2 I)}: \deqn{latex}{ y= \alpha + X \beta + \epsilon} \deqn{f(\beta | \sigma, M, g) ~ N(0, g \sigma^2 (X'X)^-1) } Moreover, the (improper) prior on the constant \eqn{f(\alpha)} is put proportional to 1. Similarly, the variance prior \eqn{f(\sigma)} is proportional to \eqn{1/\sigma}. } \examples{ data(datafls) #estimating a standard MC3 chain with 1000 burn-ins and 2000 iterations and uniform model priors bma1 = bms(datafls,burn=1000, iter=2000, mprior="uniform") ##standard coefficients based on exact likelihoods of the 100 best models: coef(bma1,exact=TRUE, std.coefs=TRUE) #suppressing user-interactive output, using a customized starting value, and not saving the best # ...models for only 19 observations (but 41 covariates) bma2 = bms(datafls[20:39,],burn=1000, iter=2000, nmodel=0, start.value=c(1,4,7,30), user.int=FALSE) coef(bma2) #MC3 chain with a hyper-g prior (custom coefficient a=2.1), saving only the 20 best models, # ...and an alternative sampling procedure; putting a log entry to console every 1000th step bma3 = bms(datafls,burn=1000, iter=5000, nmodel=20, g="hyper=2.1", mcmc="rev.jump", logfile="",logstep=1000) image(bma3) #showing the coefficient signs of the 20 best models #enumerating with 10 covariates (= 1024 models), keeping the shrinkage factors # ...of the best 200 models bma4 = bms(datafls[,1:11],mcmc="enumerate",nmodel=200,g.stats=TRUE) #using an interaction sampler for two interaction terms dataint=datafls dataint=cbind(datafls,datafls$LifeExp*datafls$Abslat/1000, datafls$Protestants*datafls$Brit-datafls$Muslim) names(dataint)[ncol(dataint)-1]="LifeExp#Abslat" names(dataint)[ncol(dataint)]="Protestants#Brit#Muslim" bma5 = bms(X.data=dataint,burn=1000,iter=9000,start.value=0,mcmc="bd.int") density(bma5,reg="English") # plot posterior density for covariate "English" # a matrix as X.data argument bms(matrix(rnorm(1000),100,10)) # keeping a set of fixed regressors: bms(datafls, mprior.size=7, fixed.reg = c("PrScEnroll", "LifeExp", "GDP60")) # Note that mprior.size=7 means prior model size of 3 fixed to 4 'uncertain' regressors } \references{ \url{http://bms.zeugner.eu}: BMS package homepage with help and tutorials Feldkircher, M. and S. Zeugner (2015): Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R, Journal of Statistical Software 68(4). Feldkircher, M. and S. Zeugner (2009): Benchmark Priors Revisited: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging, IMF Working Paper 09/202. Fernandez, C. E. Ley and M. Steel (2001): Benchmark priors for Bayesian model averaging. Journal of Econometrics 100(2), 381--427 Ley, E. and M. Steel (2008): On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regressions. working paper Liang, F., Paulo, R., Molina, G., Clyde, M. A., and Berger, J. O. (2008). Mixtures of g Priors for Bayesian Variable Selection. Journal of the American Statistical Association 103, 410-423. Sala-i-Martin, X. and G. Doppelhofer and R.I. Miller (2004): Determinants of long-term growth: a Bayesian averaging of classical estimates (BACE) approach. American Economic Review 94(4), 813--835 } \seealso{ \code{\link{coef.bma}}, \code{\link{plotModelsize}} and \code{\link{density.bma}} for some operations on the resulting 'bma' object, \code{\link{c.bma}} for integrating separate MC3 chains and splitting of sampling over several runs. Check \url{http://bms.zeugner.eu} for additional help. } \author{ Martin Feldkircher, Paul Hofmarcher, and Stefan Zeugner } \keyword{models} BMS/man/summary.bma.Rd0000644000176200001440000000511414272001550014165 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{info.bma} \alias{info.bma} \alias{summary.bma} \title{Summary Statistics for a 'bma' Object} \usage{ info.bma(bmao) \method{summary}{bma}(object, ...) } \arguments{ \item{bmao}{same as \code{object}} \item{object}{a list/object of class 'bma' that typically results from the function \code{bms} (see \code{\link{bms}} for details)} \item{\dots}{further arguments passed to or from other methods} } \value{ A character vector summarizing the results of a call to \code{bms} \item{Mean no. of Regressors}{ the posterior mean of model size} \item{Draws}{the number of iterations (ex burn-ins)} \item{Burnins}{the number of burn-in iterations} \item{Time}{the time spent on iterating through the model space} \item{No. of models visited}{the number of times a model was accepted (including burn-ins)} \item{Modelspace }{the total model space \eqn{2^K}}\item{list(list("2^K"))}{the total model space \eqn{2^K}} \item{Percentage visited}{\code{No. of models visited/Modelspace*100}} \item{Percentage Topmodels}{number of times the best models were drawn in percent of \code{Draws}} \item{Corr. PMP}{the correlation between the MCMC frequencies of the best models (the number of times they were drawn) and their marginal likelihoods.} \item{No. Obs.}{Number of observations} \item{Model Prior}{a character conforming to the argument \code{mprior} of \code{bms}, and the expected prior model size} \item{g-prior}{a character corresponding to argument \code{g} of function \code{bms}} \item{Shrinkage-Stats}{Posterior expected value und standard deviation (if applicable) of the shrinkage factor. Only included if argument \code{g.stats} of function \code{bms} was set to TRUE} } \description{ Returns a vector with summary statistics for a 'bma' object } \details{ \code{info.bma} is equivalent to \code{summary.bma}, its argument \code{bmao} conforms to the argument \code{object} } \note{ All of the above statistics can also be directly extracted from the bma object (\code{bmao}). Therefore \code{summary.bma} only returns a character vector. } \examples{ data(datafls) m_fixed=bms(datafls,burn=1000,iter=3000,user.int=FALSE, ) summary(m_fixed) m_ebl=bms(datafls,burn=1000,iter=3000,user.int=FALSE, g="EBL",g.stats=TRUE) info.bma(m_ebl) } \seealso{ \code{\link{bms}} and \code{\link{c.bma}} for functions creating bma objects, \code{print.bma} makes use of \code{summary.bma}. Check \url{http://bms.zeugner.eu} for additional help. } \keyword{utilities} BMS/man/is.bma.Rd0000644000176200001440000000115514272001550013104 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/aux_outer.R \name{is.bma} \alias{is.bma} \title{Tests for a 'bma' Object} \usage{ is.bma(bmao) } \arguments{ \item{bmao}{a 'bma' object: see 'value'} } \value{ Returns \code{TRUE} if bmao is of class 'bma', \code{FALSE} otherwise. } \description{ tests for objects of class "bma" } \examples{ data(datafls) mm=bms(datafls,burn=1000, iter=4000) is.bma(mm) } \seealso{ 'Output' in \code{\link{bms}} for the structure of a 'bma' object Check \url{http://bms.zeugner.eu} for additional help. } \keyword{classes} BMS/DESCRIPTION0000644000176200001440000000221614274440212012402 0ustar liggesusersPackage: BMS Type: Package Title: Bayesian Model Averaging Library Version: 0.3.5 Date: 2022-08-05 Author: Martin Feldkircher and Stefan Zeugner and Paul Hofmarcher Maintainer: Stefan Zeugner Depends: methods, stats, graphics, R (>= 2.10) Description: Bayesian Model Averaging for linear models with a wide choice of (customizable) priors. Built-in priors include coefficient priors (fixed, hyper-g and empirical priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches. Post-processing functions allow for inferring posterior inclusion and model probabilities, various moments, coefficient and predictive densities. Plotting functions available for posterior model size, MCMC convergence, predictive and coefficient densities, best models representation, BMA comparison. Also includes Bayesian normal-conjugate linear model with Zellner's g prior, and assorted methods. License: BSD_3_clause + file LICENSE URL: http://bms.zeugner.eu RoxygenNote: 7.2.1 LazyData: true NeedsCompilation: no Packaged: 2022-08-05 10:42:16 UTC; admin-b1 Repository: CRAN Date/Publication: 2022-08-09 11:10:02 UTC BMS/build/0000755000176200001440000000000014273172010011767 5ustar liggesusersBMS/build/vignette.rds0000644000176200001440000000034014273172010014323 0ustar liggesusersuQQ0  Q0&&\/$Cb \JjQ00In}}&!D%TDR >GWF 6U6FNì1R^ '*~eBMS/vignettes/0000755000176200001440000000000014273172010012700 5ustar liggesusersBMS/vignettes/bmasmall.bib0000644000176200001440000000720714272164026015163 0ustar liggesusers@ARTICLE{Hoetingetal99, author = {Hoeting, Jennifer A. and Madigan, David and Raftery, Adrian E and Volinsky,Chris T.}, title = {{Bayesian Model Averaging: A Tutorial}}, journal = {Statistical Science}, year = {1999}, volume = {14, No. 4}, pages = {382-417} } @ARTICLE{ls08, author = {Ley, Eduardo and Steel, Mark F.J}, title = {{On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regressions}}, journal = {Journal of Applied Econometrics}, year = {2009}, volume = {24:4}, pages = {651-674} } @ARTICLE{mad95, author = {Madigan, D. and York, J.}, title = {{Bayesian graphical models for discrete data}}, journal = {International Statistical Review}, year = {1995}, volume = {63.}, pages = {215-232}, timestamp = {2010.01.12} } @ARTICLE{fls:ccg, author = {{Fern{\'a}ndez}, Carmen and Ley, Eduardo and Steel, Mark F.J.}, title = {{Model Uncertainty in Cross-Country Growth Regressions}}, journal = {Journal of Applied Econometrics}, year = {2001}, volume = {16}, pages = {563-576}, timestamp = {2009.03.01} } @ARTICLE{fls:bmp, author = {{Fern{\'a}ndez}, Carmen and Ley, Eduardo and Steel, Mark F.J.}, title = {{Benchmark Priors for Bayesian Model Averaging}}, journal = {Journal of Econometrics}, year = {2001}, volume = {100}, pages = {381-427} } @ARTICLE{cic08, author = {Ciccone, Antonio and Jaroci\'{n}ski, Marek}, title = {{Determinants of Economic Growth: Will Data Tell?}}, journal = {American Economic Journal: Macroeconomics}, year = {2010}, volume = {forthcoming} } @ARTICLE{eichi07, author = {Eicher, T. and Papageorgiou, C. and Raftery, A.E.}, title = {{Determining growth determinants: default priors and predictive performance in Bayesian model averaging}}, journal = {Journal of Applied Econometrics, forthcoming}, year = {2009} } @ARTICLE{liang:mgp, author = {Liang, Feng and Paulo, Rui and Molina, German and Clyde, Merlise A. and Berger, Jim O.}, title = {{Mixtures of g Priors for Bayesian Variable Selection}}, journal = {Journal of the American Statistical Association}, year = {2008}, volume = {103}, pages = {410-423} } @ARTICLE{fz:superM, author = {Feldkircher, Martin and Zeugner, Stefan}, title = {{Benchmark Priors Revisited: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging}}, journal = {IMF Working Paper}, year = {2009}, volume = {WP/09/202}, timestamp = {2009.09.13} } @ARTICLE{george00, author = {George, E.I. and Foster, D.P.}, title = {{Calibration and empirical Bayes variable selection}}, journal = {Biometrika}, year = {2000}, volume = {87}, pages = {731--747}, number = {4}, publisher = {Biometrika Trust} } @ARTICLE{hansen01, author = {Hansen, M.H. and Yu, B.}, title = {{Model selection and the principle of minimum description length}}, journal = {Journal of the American Statistical Association}, year = {2001}, volume = {96}, pages = {746--774}, number = {454}, publisher = {ASA} } @ARTICLE{bace04, author = {{Sala-i-Martin}, Xavier and Doppelhofer, Gernot and Miller, Ronald I.}, title = {{Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach}}, journal = {American Economic Review}, year = {2004}, volume = {94}, pages = {813-835} } @ARTICLE{fz15, author = {Feldkircher, Martin and Zeugner, Stefan}, title = {{Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R}}, journal = {Journal of Statistical Software}, year = {2015}, volume = {68} } BMS/vignettes/bmsmanual.Rnw0000644000176200001440000017673714272457522015411 0ustar liggesusers\documentclass[a4paper]{article} \title{Bayesian Model Averaging with BMS\\ \normalsize{for BMS Version 0.3.5}} \author{Martin Feldkircher and Stefan Zeugner} \usepackage{natbib} \usepackage{vmargin} \begin{document} \setpapersize{A4} % \VignetteIndexEntry{Bayesian Model Averaging with BMS} \maketitle \abstract{This manual is a brief introduction to applied Bayesian Model Averaging with the R package \verb+BMS+. The manual is structured as a hands-on tutorial for readers with few experience with BMA. Readers from a more technical background are advised to consult the table of contents for formal representations of the concepts used in BMS.\\ For other tutorials and more information, please refer to \mbox{ \texttt{http://bms.zeugner.eu}.} } \tableofcontents \clearpage <>= options(width=75) @ \section{A Brief Introduction to Bayesian Model Averaging} This section reiterates some basic concepts, and introduces some notation for readers with limited knowledge of BMA. Readers with more experience in BMA should skip this chapter and directly go to section \ref{sec:example}. For a more thorough introduction to BMA, consult \citet{Hoetingetal99}. Note that a version this vignette has been published as \citet{fz15}. If needed, please cite from the latter reference. \subsection{Bayesian Model Averaging} Bayesian Model Averaging (BMA) addresses model uncertainty in a canonical regression problem. Suppose a linear model structure, with $y$ being the dependent variable, $\alpha_\gamma$ a constant, $\beta_\gamma$ the coefficients, and $\varepsilon$ a normal IID error term with variance $\sigma^2$: \begin{equation} y= \alpha_\gamma + X_\gamma \beta_\gamma + \varepsilon \qquad \varepsilon \sim N(0, \sigma^2 I) \label{eq:lm} \end{equation} A problem arises when there are many potential explanatory variables in a matrix $X$: Which variables $X_\gamma \in \{X\}$ should be then included in the model? And how important are they? The direct approach to do inference on a single linear model that includes all variables is inefficient or even infeasible with a limited number of observations. BMA tackles the problem by estimating models for all possible combinations of $\{X\}$ and constructing a weighted average over all of them. If $X$ contains $K$ potential variables, this means estimating $2^K$ variable combinations and thus $2^K$ models. The model weights for this averaging stem from posterior model probabilities that arise from Bayes' theorem: \begin{equation} p(M_\gamma | y, X) \; = \; \frac{p(y |M_\gamma, X) p(M_\gamma)}{p(y|X)} \; = \frac{p(y |M_\gamma, X) p(M_\gamma) }{\sum_{s=1}^{2^K} p(y| M_s, X) p(M_s)} \label{eq:bf} \end{equation} Here, $p(y|X)$ denotes the \emph{integrated} likelihood which is constant over all models and is thus simply a multiplicative term. Therefore, the posterior model probability (PMP) $p(M_\gamma|y,X)$ is proportional to\footnote{ Proportionality is expressed with the sign $\propto$: i.e. $p(M_\gamma | y, X) \; \propto \; p(y |M_\gamma, X) p(M_\gamma)$ } the marginal likelihood of the model $p(y |M_\gamma, X) $ (the probability of the data given the model $M_\gamma$) times a prior model probability $p(M_\gamma)$ -- that is, how probable the researcher thinks model $M_\gamma$ before looking at the data. Renormalization then leads to the PMPs and thus the model weighted posterior distribution for any statistic $\theta$ (e.g. the coefficients $\beta$): $$ p(\theta| y, X) = \sum_{\gamma=1}^{2^K } p(\theta | M_\gamma, y, X) p(M_\gamma| X, y) $$ The model prior $p(M_\gamma)$ has to be elicited by the researcher and should reflect prior beliefs. A popular choice is to set a uniform prior probability for each model $p(M_\gamma) \propto 1$ to represent the lack of prior knowledge. Further model prior options will be explored in section \ref{sec:mpriors}. \subsection{Bayesian Linear Models and Zellner's $g$ prior}\label{ssec:zg} The specific expressions for marginal likelihoods $p(M_\gamma|y,X)$ and posterior distributions $p(\theta | M_\gamma, y, X)$ depend on the chosen estimation framework. The literature standard is to use a 'Bayesian regression' linear model with a specific prior structure called 'Zellner's g prior' as will be outlined in this section.\footnote{Note that the presented framework is very similar to the natural normal-gamma-conjugate model - which employs proper priors for $\alpha$ and $\sigma$. Nonetheless, the resulting posterior statistics are virtually identical.}\\ For each individual model $M_\gamma$ suppose a normal error structure as in (\ref{eq:lm}). The need to obtain posterior distributions requires to specify the priors on the model parameters. Here, we place 'improper' priors on the constant and error variance, which means they are evenly distributed over their domain: $p(\alpha_\gamma) \propto 1$, i.e. complete prior uncertainty where the prior is located. Similarly, set $p(\sigma) \propto \sigma^{-1}$. The crucial prior is the one on regression coefficients $\beta_\gamma$: Before looking into the data $(y,X)$, the researcher formulates her prior beliefs on coefficients into a normal distribution with a specified mean and variance. It is common to assume a conservative prior mean of zero for the coefficients to reflect that not much is known about them. Their variance structure is defined according to Zellner's g: $\sigma^2 ( \frac{1}{g} X_\gamma'X_\gamma )^{-1}$: $$ \beta_\gamma | g \sim N \left( 0,\sigma^2 \left( \frac{1}{g} X_\gamma'X_\gamma \right)^{-1}\right) $$ This means that the researcher thinks coefficients are zero, and that their variance-covariance structure is broadly in line with that of the data $X_\gamma$. The hyperparameter $g$ embodies how certain the researcher is that coefficients are indeed zero: A small $g$ means few prior coefficient variance and therefore implies the researcher is quite certain (or conservative) that the coefficients are indeed zero. In contrast, a large $g$ means that the researcher is very uncertain that coefficients are zero. The posterior distribution of coefficients reflects prior uncertainty: Given $g$, it follows a t-distribution with expected value $E(\beta_\gamma|y,X,g,M_\gamma) = \frac{g}{1+g} \hat{\beta}_\gamma$, where $\hat{\beta}_\gamma$ is the standard OLS estimator for model $\gamma$. The expected value of coefficients is thus a convex combination of OLS estimator and prior mean (zero). The more conservative (smaller) $g$, the more important is the prior, and the more the expected value of coefficients is shrunk toward the prior mean zero. As $g \rightarrow \infty$, the coefficient estimator approaches the OLS estimator. Similarly, the posterior variance of $\beta_\gamma$ is affected by the choice of $g$:\footnote{here, $N$ denotes sample size, and $\bar{y}$ the sample mean of the response variable} $$ Cov(\beta_\gamma|y,X,g,M_\gamma) = \frac{(y-\bar{y})'(y-\bar{y})}{N-3} \frac{g}{1+g} \left(1-\frac{g}{1+g} R_\gamma^2\right) (X_\gamma'X_\gamma)^{-1} $$ I.e. the posterior covariance is similar to that of the OLS estimator, times a factor that includes $g$ and $R^2_\gamma$, the OLS R-squared for model $\gamma$. The appendix shows how to apply the function \texttt{zlm} in order to estimate such models out of the BMA context. For BMA, this prior framwork results into a very simple marginal likelihood $p(y|M_\gamma,X,g)$, that is related to the R-squared and includes a size penalty factor adjusting for model size $k_\gamma$: $$ p(y|M_\gamma,X,g) \propto (y-\bar{y})'(y-\bar{y})^{-\frac{N-1}{2} } (1+g)^{-\frac{k_\gamma}{2}} \left( 1- \frac{g}{1+g} \right)^{-\frac{N-1}{2}} $$ The crucial choice here concerns the form of the hyperparameter $g$. A popular 'default' approach is the 'unit information prior' (UIP), which sets $g=N$ commonly for all models and thus attributes about the same information to the prior as is contained in one observation. (Please refer to section \ref{sec:gprior} for a discussion of other $g$-priors.)\footnote{Note that BMS is, in principle not restricted to Zellner's $g$-priors, as quite different coefficient priors might be defined by R-savy users.} \section{A BMA Example: Attitude Data}\label{sec:example} This section shows how to perform basic BMA with a small data set and how to obtain posterior coefficient and model statistics. \subsection{Model Sampling} Equipped with this basic framework, let us explore one of the data sets built into R: The 'attitude' dataset describes the overall satisfaction rating of a large organization's employees, as well as several specific factors such as \verb+complaints+, the way of handling complaints within the organization (for more information type \verb+help(attitude)+). The data includes 6 variables, which means $2^6=64$ model combinations. Let us stick with the UIP g-prior (in this case $g=N=30$). Moreover, assume uniform model priors (which means that our expected prior model parameter size is $K/2=3$). First load the data set by typing <<>>= data(attitude) @ In order to perform BMA you have to load the BMS library first, via the command: <<>>= library(BMS) @ Now perform Bayesian model sampling via the function \verb+bms+, and write results into the variable \verb+att+. <<>>= att = bms(attitude, mprior = "uniform", g="UIP", user.int=F) @ \verb+mprior = "uniform"+ means to assign a uniform model prior, \verb+g="UIP"+, the unit information prior on Zellner's $g$. The option \verb+user.int=F+ is used to suppress user-interactive output for the moment.\footnote{Note that the argument \texttt{g="UIP"} is actually redundant, as this is the default option for \texttt{bms}. The default model prior is somewhat different but does not matter very much with this data. Therefore, the command \texttt{att = bms(attitude)} gives broadly similar results.} The first argument is the data frame \verb+attitude+, and \verb+bms+ assumes that its first column is the response variable.\footnote{The specification of data can be supplied in different manners, e.g. in 'formulas'. Type \texttt{help(lm)} for a comparable function.} \subsection{Coefficient Results} The coefficient results can be obtained via <<>>= coef(att) @ The above matrix shows the variable names and corresponding statistics: The second column \verb+Post Mean+ displays the coefficients averaged over all models, including the models wherein the variable was not contained (implying that the coefficient is zero in this case). The covariate \verb+complaints+ has a comparatively large coefficient and seems to be most important. The importance of the variables in explaining the data is given in the first column \verb+PIP+ which represents posterior inclusion probabilities - i.e. the sum of PMPs for all models wherein a covariate was included. We see that with $99.9\%$, virtually all of posterior model mass rests on models that include \verb+complaints+. In contrast, \verb+learning+ has an intermediate PIP of $40.6\%$, while the other covariates do not seem to matter much. Consequently their (unconditional) coefficients\footnote{Unconditional coefficients are defined as $E(\beta|y,X)=\sum_{\gamma=1}^{2^K} p(\beta_\gamma|, y,X, M_\gamma) p(M_\gamma|y,X)$ i.e. a weighted average over all models, including those where this particular coeffiecnt was restricted to zero. A conditional coeffienct in contrast, is 'conditional on inclusion', i.e. a weighted average only over those models where its regressor was included. Conditional coefficients may be obtained with the command \mbox{\texttt{coef(att, condi.coef =TRUE)}}.} are quite low, since the results quite often include models where these coefficients are zero. The coefficients' posterior standard deviations (\verb+Post SD+) reflect further evidence: \verb+complaints+ is certainly positive, while \verb+advance+ is most likely negative. In fact, the coefficient sign can also be inferred from the fourth column \verb+Cond.Pos.Sign+, the 'posterior probability of a positive coefficient expected value conditional on inclusion', respectively 'sign certainty'. Here, we see that in all encountered models containing this variables, the (expected values of) coefficients for \verb+complaints+ and \verb+learning+ were positive. In contrast, the corresponding number for \verb+privileges+ is near to zero, i.e. in virtually all models that include \verb+privileges+, its coefficient sign is negative. Finally, the last column \verb+idx+ denotes the index of the variables' appearance in the original data set, as our results are obviously sorted by PIP. Further inferring about the importance of our variables, it might be really more interesting to look at their standardized coefficients.\footnote{Standardized coefficients arise if both the response $y$ and the regressors $X$ are normalized to mean zero and variance one -- thus effectively bringing the data down to same order of magnitude.} Type: <<>>= coef(att, std.coefs=T, order.by.pip=F, include.constant=T) @ The standardized coefficients reveal similar importance as discussed above, but one sees that \verb+learning+ actually does not matter much in terms of magnitude. Note that \verb+order.by.pip=F+ represents covariates in their original order. The argument \verb+include.constant=T+ also prints out a (standardized) constant. \subsection{Other Results} Other basic information about the sampling procedure can be obtained via \footnote{Note that the command \texttt{print(att)} is equivalent to \texttt{coef(att); summary(att)}}. <<>>= summary(att) @ It reiterates some of the facts we already know, but adds some additional information such as \verb+Mean no. regressors+, posterior expected model size (cf. section \ref{sec:mpriors}). Finally, let's look into which models actually perform best: The function \verb+topmodels.bma+ prints out binary representations for all models included, but for the sake of illustration let us focus on the best three:\footnote{\texttt{topmodel.bma} results in a matrix in which each row corresponds to a covariate and each column to a model (ordered left-to-right by their PMP). The best three models are therefore in the three leftmost columns resulting from \texttt{topmodel.bma}, which are extracted via index assignment \texttt{[, 1:3]}.} <<>>= topmodels.bma(att)[,1:3] @ \label{topmodcall}We see that the output also includes the posterior model probability for each model.\footnote{To access the PMP for any model, consider the function \texttt{pmpmodel} -- cf. \texttt{help(pmpmodel)} . } The best model, with 29\% posterior model probability,\footnote{The differentiation between \texttt{PMP (Exact)} and \texttt{PMP (MCMC)} is of importance if an MCMC sampler was used -- cf. section \ref{ssec:anavsmcmc} } is the one that only includes \verb+complaints+. However the second best model includes \verb+learning+ in addition and has a PMP of 16\%. Use the command \verb+beta.draws.bma(att)+ to obtain the actual (expected values of) posterior coefficient estimates for each of these models. In order to get a more comprehensive overview over the models, use the command <>= image(att) @ Here, blue color corresponds to a positive coefficient, red to a negative coefficient, and white to non-inclusion (a zero coefficient). On the horizontal axis it shows the best models, scaled by their PMPs. We see again that the best model with most mass only includes \verb+complaints+. Moreover we see that complaints is included in virtually all model mass, and unanimously with a positive coefficient. In contrast, \verb+raises+ is included very little, and its coefficient sign changes according to the model. (Use \verb+image(att,yprop2pip=T)+ for another illustrating variant of this chart.) \section{Model Size and Model Priors}\label{sec:mpriors} Invoking the command \verb+summary(att)+ yielded the important posterior statistic \verb+Mean no. regressors+, the posterior expected model size (i.e. the average number of included regressors), which in our case was $2.11$. Note that the posterior expected model size is equal to the sum of PIPs -- verify via <<>>= sum(coef(att)[,1]) @ This value contrasts with the prior expected model size implictely used in our model sampling: With $2^K$ possible variable combinations, a uniform model prior means a common prior model probability of $p(M_\gamma)=2^{-K}$. However, this implies a prior expected model size of $\sum_{k=0}^K{ {K \choose k} k 2^{-K}}=K/2$. Moreover, since there are more possible models of size 3 than e.g. of size 1 or 5, the uniform model prior puts more mass on intermediate model sizes -- e.g. expecting a model size of $k_\gamma=3$ with ${6 \choose 3} 2^{-K} = 31\%$ probability. In order to examine how far the posterior model size distribution matches up to this prior, type: <>= plotModelsize(att) @ We see that while the model prior implies a symmetric distribution around $K/2=3$, updating it with the data yields a posterior that puts more importance on parsimonious models. In order to illustrate the impact of the uniform model prior assumption, we might consider other popular model priors that allow more freedom in choosing prior expected model size and other factors. \subsection{Binomial Model Prior} The binomial model prior constitutes a simple and popular alternative to the uniform prior we just employed. It starts from the covariates' viewpoint, placing a common and fixed inclusion probability $\theta$ on each regressor. The prior probability of a model of size $k$ is therefore the product of inclusion and exclusion probabilities: $$ p(M_\gamma) = \theta^{k_\gamma} (1-\theta)^{K-k_\gamma} $$ Since expected model size is $\bar{m}= K \theta$, the researcher's prior choice reduces to eliciting a prior expected model size $\bar{m}$ (which defines $\theta$ via the relation $\theta=\bar{m}/K$). Choosing a prior model size of $K/2$ yields $\theta=\frac{1}{2}$ and thus exactly the uniform model prior $p(M_\gamma)=2^{-K}$. Therefore, putting prior model size at a value $<\frac{1}{2}$ tilts the prior distribution toward smaller model sizes and vice versa. For instance, let's impose this fixed inclusion probability prior such that prior model size equals $\bar{m}=2$: Here, the option \verb+user.int=T+ directly prints out the results as from \verb+coef+ and \verb+summary+.\footnote{The command \texttt{g="UIP"} was omitted here since \texttt{bms} sets this by default anyway.} <<>>= att_fixed = bms(attitude, mprior="fixed", mprior.size=2, user.int=T) @ As seen in \verb+Mean no. regressors+, the posterior model size is now $1.61$ which is somewhat smaller than with uniform model priors. Since posterior model size equals the sum of PIPs, many of them have also become smaller than under \verb+att+ But interestingly, the PIP of \verb+complaints+ has remained at near 100\%. \subsection{Custom Prior Inclusion Probabilities} In view of the pervasive impact of \verb+complaints+, one might wonder whether its importance would also remain robust to a greatly unfair prior. For instance, one could define a prior inclusion probability of only $\theta=0.01$ for the \verb+complaints+ while setting a 'standard' prior inclusion probability of $\theta=0.5$ for all other variables. Such a prior might be submitted to \verb+bms+ by assigning a vector of prior inclusion probabilities via its \verb+mprior.size+ argument:\footnote{This implies a prior model size of $\bar{m}= 0.01 + 5 \times 0.5 = 2.51$} <<>>= att_pip = bms(attitude, mprior="pip", mprior.size=c(.01,.5,.5,.5,.5,.5), user.int=F) @ But the results (obtained with \verb+coef(att_pip)+) show that \verb+complaints+ still retains its PIP of near 100\%. Instead, posterior model size decreases (as evidenced in a call to \newline\mbox{\texttt{plotModelsize(att\_pip)}}), and all other variables obtain a far smaller PIP. \subsection{Beta-Binomial Model Priors} Like the uniform prior, the fixed common $\theta$ in the binomial prior centers the mass of of its distribution near the prior model size. A look on the prior model distribution with the following command shows that the prior model size distribution is quite concentrated around its mode. <<>>= plotModelsize(att_fixed) @ This feature is sometimes criticized, in particular by \citet{ls08}: They note that to reflect prior uncertainty about model size, one should rather impose a prior that is less tight around prior expected model size. Therefore, \citet{ls08} propose to put a \emph{hyperprior} on the inclusion probability $\theta$, effectively drawing it from a Beta distribution. In terms of researcher input, this prior again only requires to choose the prior expected model size. However, the resulting prior distribution is considerably less tight and should thus reduce the risk of unintended consequences from imposing a particular prior model size.\footnote{Therefore, the beta-binomial model prior with random theta is implemented as the default choice in \texttt{bms}.} For example, take the beta-binomial prior with prior model size $K/2$\footnote{Note that the arguments here are actually the default values of \texttt{bms}, therefore this command is equivalent to \texttt{att\_random=bms(attitude)}.} -- and compare this to the results from \verb+att+ (which is equivalent to a fixed $\theta$ model prior of prior model size $K/2$.) <>= att_random = bms(attitude, mprior="random", mprior.size=3, user.int=F) plotModelsize(att_random) @ With the beta-binomial specification and prior model size $\bar{m}=K/2$, the model prior is completely flat over model sizes, while the posterior model size turns out to be $1.73$. In terms of coefficient and posterior model size distribution, the results are very similar to those of \verb+att_fixed+, even though the latter approach involved a tighter model prior. Concluding, a decrease of prior importance by the use of the beta-binomial framework supports the results found in \verb+att_fixed+. We can compare the PIPs from the four approaches presented so far with the following command:\footnote{This is equivalent to the command \texttt{plotComp(att, att\_fixed, att\_pip, att\_random)}} <>= plotComp(Uniform=att, Fixed=att_fixed, PIP=att_pip, Random=att_random) @ <>= plotComp(Uniform=att, Fixed=att_fixed, PIP=att_pip, Random=att_random, cex=2) @ Here as well, \verb+att_fixed+ (Fixed) and \verb+att_random+ (Random) display similar results with PIPs plainly smaller than those of \verb+att+ (Uniform). Note that the appendix contains an overview of the built-in model priors available in BMS. Moreover, BMS allows the user to define any custom model prior herself and straightforwardly use it in \texttt{bms} - for examples, check \mbox{\texttt{http://bms.zeugner.eu/custompriors.php}}. Another concept relating to model priors is to keep fixed regressors to be included in every sampled model: Section \ref{ssec:fixreg} provides some examples. \section{MCMC Samplers and More Variables}\label{sec:mcmc} \subsection{MCMC Samplers}\label{ssec:mcmc} With a small number of variables, it is straightforward to enumerate all potential variable combinations to obtain posterior results. For a larger number of covariates, this becomes more time intensive: enumerating all models for 25 covariates takes about 3 hours on a modern PC, and doing a bit more already becomes infeasible: With 50 covariates for instance, there are more than a quadrillion ($\approx 10^{15}$) potential models to consider. % In such a case, MCMC samplers gather results on the most important part of the posterior model distribution and thus approximate it as closely as possible. BMA mostly relies on the Metropolis-Hastings algorithm, which 'walks' through the model space as follows: At step i, the sampler stands at a certain 'current' model $M_i$ with PMP $p(M_i|y,X)$. In step $i+1$ a candidate model $M_j$ is proposed. The sampler switches from the current model to model $M_j$ with probability $p_{i,j}$: $$p_{i,j} = \min(1, p(M_j|y,X)/p(M_i|y,x) )$$ In case model $M_j$ is rejected, the sampler moves to the next step and proposes a new model $M_k$ against $M_i$. In case model $M_j$ is accepted, it becomes the current model and has to survive against further candidate models in the next step. In this manner, the number of times each model is kept will converge to the distribution of posterior model probabilities $p(M_i|y,X)$. In addition to enumerating all models, BMS implements two MCMC samplers that differ in the way they propose candidate models: \begin{itemize} \item \emph{Birth-death sampler} (\verb+bd+): This is the standard model sampler used in most BMA routines. One of the $K$ potential covariates is randomly chosen; if the chosen covariate forms already part of the current model $M_i$, then the candidate model $M_j$ will have the same set of covariates as $M_i$ but for the chosen variable ('dropping' a variable). If the chosen covariate is not contained in $M_i$, then the candidate model will contain all the variables from $M_i$ plus the chosen covariate ('adding' a variable). \item \emph{Reversible-jump sampler} (\verb+rev.jump+): Adapted to BMA by \citet{mad95} this sampler either draws a candidate by the birth-death method with 50\% probability. In the other case (chosen with 50\% probability) a 'swap' is proposed, i.e. the candidate model $M_j$ randomly drops one covariate with respect to $M_i$ and randomly adds one chosen at random from the potential covariates that were not included in model $M_i$. \item \emph{Enumeration} (\verb+enum+): Up to fourteen covariates, complete enumeration of all models is the default option: This means that instead of an approximation by means of the aforementioned MCMC sampling schemes \textit{all} possible models are evaluated. As enumeration becomes quite time-consuming or infeasible for many variables, the default option is \verb+mcmc="bd"+ in case of $K>14$, though enumeration can still be invoked with the command \verb+mcmc="enumerate"+. \end{itemize} The quality of an MCMC approximation to the actual posterior distribution depends on the number of draws the MCMC sampler runs through. In particular, the sampler has to start out from some model\footnote{\texttt{bms} has some simple algorithms implemented to choose 'good' starting models -- consult the option \texttt{start.value} under \texttt{help(bms)} for more information.} that might not be a 'good' one. Hence the first batch of iterations will typically not draw models with high PMPs as the sampler will only after a while converge to spheres of models with the largest marginal likelihoods. Therefore, this first set of iterations (the 'burn-ins') is to be omitted from the computation of results. In \verb+bms+, the argument \verb+burn+ specifies the number of burn-ins, and the argument \verb+iter+ the number of subsequent iterations to be retained. \subsection{An Example: Economic Growth}\label{ssec:fls} In one of the most prominent applications of BMA, \citet{fls:ccg} analyze the importance of 41 explanatory variables on long-term term economic growth in 72 countries by the means of BMA. The data set is built into BMS, a short description is available via \verb+help(datafls)+. They employ a uniform model prior and the birth-death MCMC sampler. Their $g$ prior is set to $g=\max(N,K^2)$, a mechanism such that PMPs asymptotically either behave like the Bayesian information criterion (with $g=N$) or the risk inflation criterion ($g=K^2$) -- in \verb+bms+ this prior is assigned via the argument \verb+g="BRIC"+. Moreover \citet{fls:ccg} employ more than 200 million number of iterations after a substantial number of burn-ins. Since this would take quite a time, the following example reenacts their setting with only 50,000 burn-ins and 100,000 draws and will take about 30 seconds on a modern PC: <>= data(datafls) fls1 = bms(datafls, burn=50000, iter=100000, g="BRIC", mprior="uniform", nmodel=2000, mcmc="bd", user.int=F) @ <>= fls1 = BMS:::.flsresultlist('fls1') @ Before looking at the coefficients, check convergence by invoking the \verb+summary+ command:\label{sumfls1}\footnote{Since MCMC sampling chains are never completely equal, the results presented here might differ from what you get on your machine.} <<>>= summary(fls1) @ Under \verb+Corr PMP+, we find the correlation between iteration counts and analytical PMPs for the 2000 best models (the number 2000 was specified with the \verb+nmodel=2000+ argument). At \Sexpr{summary(fls1)["Corr PMP"]}, this correlation is far from perfect but already indicates a good degree of convergence. For a closer look at convergence between analytical and MCMC PMPs, compare the actual distribution of both concepts: <>= plotConv(fls1) @ The chart presents the best 2,000 models encountered ordered by their analytical PMP (the red line), and plots their MCMC iteration counts (the blue line). For an even closer look, one might just check the corresponding image for just the best 100 models with the following command:\footnote{With \texttt{bma} objects such as \texttt{fls1}, the indexing parentheses \texttt{[]} are used to select subsets of the (ranked) best models retained in the object. For instance, while \texttt{fls1} contains 2,000 models, \texttt{fls1[1:100]} only contains the 100 best models among them. Correspondingly, \texttt{fls1[37]} would only contain the 37th-best model. Cf. \texttt{help('[.bma')}} <>= plotConv(fls1[1:100]) @ \subsection{Analytical vs. MCMC likelihoods}\label{ssec:anavsmcmc} The example above already achieved a decent level of correlation among analytical likelihoods and iteration counts with a comparatively small number of sampling draws. In general, the more complicated the distribution of marginal likelihoods, the more difficulties the sampler will meet before converging to a good approximation of PMPs. The quality of approximation may be inferred from the number of times a model got drawn vs. their actual marginal likelihoods. Partly for this reason, \verb+bms+ retains a pre-specified number of models with the highest PMPs encountered during MCMC sampling, for which PMPs and draw counts are stored. Their respective distributions and their correlation indicate how well the sampler has converged. However, due to RAM limits, the sampling chain can hardly retain more than a few 100,000 of these models. Instead, it computes aggregate statistics on-the-fly, taking iteration counts as model weights. For model convergence and some posterior statistics \verb+bms+ retains only the 'top' (highest PMP) \verb+nmodel+ models it encounters during iteration. Since the time for updating the iteration counts for the 'top' models grows in line with their number, the sampler becomes considerably slower the more 'top' models are to be kept. Still, if they are sufficiently numerous, those best models can already cover most of posterior model mass - in this case it is feasible to base posterior statistics on analytical likelihoods instead of MCMC frequencies, just as in the enumeration case from section \ref{sec:example}. From \verb+bms+ results, the PMPs of 'top' models may be displayed with the command \verb+pmp.bma+. For instance, one could display the PMPs of the best five models for \verb+fls1+ as follows:\footnote{\texttt{pmp.bma} returns a matrix with two columns and one row for each model. Consequently \texttt{pmp.bma(fls1)[1:5,]} extracts the first five rows and all columns of this matrix.} <<>>= pmp.bma(fls1)[1:5,] @ The numbers in the left-hand column represent analytical PMPs (\texttt{PMP (Exact)}) while the right-hand side displays MCMC-based PMPs (\texttt{PMP (MCMC)}). Both decline in roughly the same fashion, however sometimes the values for analytical PMPs differ considerably from the MCMC-based ones. This comes from the fact that MCMC-based PMPs derive from the number of iteration counts, while the 'exact' PMPs are calculated from comparing the analytical likelihoods of the best models -- cf. equation (\ref{eq:bf}).\footnote{In the call to \texttt{topmodels.bma} on page \pageref{topmodcall}, the PMPs under 'MCMC' and analytical ('exact') concepts were equal since 1) enumeration bases both 'top' model calculation and aggregate on-the-fly results on analytical PMPs and 2) because all possible models were retained in the object \texttt{att}.} In order to see the importance of all 'top models' with respect to the full model space, we can thus sum up their MCMC-based PMPs as follows: <<>>= colSums(pmp.bma(fls1)) @ Both columns sum up to the same number and show that in total, the top 2,000 models account for ca. \Sexpr{round(colSums(pmp.bma(fls1))[[2]],2)*100}\% of posterior model mass.\footnote{Note that this share was already provided in column \texttt{\% Topmodels} resulting from the \texttt{summary} command on page \pageref{sumfls1}.} They should thus provide a rough approximation of posterior results that might or might not be better than the MCMC-based results. For this purpose, compare the best 5 covariates in terms of PIP by analytical and MCMC methods: \verb+coef(fls1)+ will display the results based on MCMC counts. <<>>= coef(fls1)[1:5,] @ In contrast, the results based on analytical PMPs will be invoked with the \verb+exact+ argument: <<>>= coef(fls1,exact=TRUE)[1:5,] @ The ordering of covariates in terms of PIP as well as the coefficients are roughly similar. However, the PIPs under \verb+exact = TRUE+ are somewhat larger than with MCMC results. Closer inspection will also show that the analytical results downgrade the PIPs of the worst variables with respect to MCMC-PIPs. This stems from the fact that analytical results do not take into account the many 'bad' models that include 'worse' covariates and are factored into MCMC results. Whether to prefer analytical or MCMC results is a matter of taste -- however the literature prefers coefficients the analytical way: \citet{fls:ccg}, for instance, retain 5,000 models and report results based on them. \subsection{Combining Sampling Chains} The MCMC samplers described in section \ref{ssec:mcmc} need to discard the first batch of draws (the burn-ins) since they start out from some peculiar start model and may reach the altitudes of 'high' PMPs only after many iterations. Here, choosing an appropriate start model may help to speed up convergence. By default \verb+bms+ selects its start model as follows: from the full model\footnote{actually, a model with randomly drawn $\min(K,N-3)$ variables}, all covariates with OLS t-statistics $>0.2$ are kept and included in the start model. Other start models may be assigned outright or chosen according to a similar mechanism (cf. argument \verb+start.value+ in \verb+help(bms)+). However, in order to improve the sampler's convergence to the PMP distribution, one might actually start from several different start models. This could by particularly helpful if the models with high PMPs are clustered in distant 'regions'. For instance, one could set up the \citet{fls:ccg} example above to get iteration chains from different starting values and combine them subsequently. Start e.g. a shorter chain from the null model (the model containing just an intercept), and use the 'reversible jump' MCMC sampler: <>= fls2 = BMS:::.flsresultlist('fls2') @ <>= fls2= bms(datafls, burn=20000, iter=50000, g="BRIC", mprior="uniform", mcmc="rev.jump", start.value=0, user.int=F) @ <>= summary(fls2) @ With \Sexpr{round(cor(pmp.bma(fls2))[2,1],2)}, the correlation between analytical and MCMC PMPs is a bit smaller than the \Sexpr{round(cor(pmp.bma(fls1))[2,1],2)} from the \verb+fls1+ example in section \ref{ssec:anavsmcmc}. However, the results of this sampling run may be combined to yield more iterations and thus a better representation of the PMP distribution. <<>>= fls_combi = c(fls1,fls2) summary(fls_combi) @ With \Sexpr{round(cor(pmp.bma(fls_combi))[2,1],2)}, the PMP correlation from the combined results is broadly better than either of its two constituent chains \verb+fls1+ and \verb+fls2+. Still, the PIPs and coefficients do not change much with respect to \verb+fls1+ -- as evidenced e.g. by \verb+plotComp(fls1, fls_combi, comp="Std Mean")+. \section{Alternative Formulations for Zellner's g Prior}\label{sec:gprior} \subsection{Alternative Fixed g-Priors} Virtually all BMA applications rely on the presented framework with Zellner's $g$ prior, and the bulk of them relies on specifying a fixed $g$. As mentioned in section \ref{ssec:zg}, the value of $g$ corresponds to the degree of prior uncertainty: A low $g$ renders the prior coefficient distribution tight around a zero mean, while a large $g$ implies large prior coefficient variance and thus decreases the importance of the coefficient prior. While some popular default elicitation mechanisms for the $g$ prior (we have seen UIP and BRIC) are quite popular, they are also subject to severe criticism. Some (e.g \citealt{fls:bmp}) advocate a comparatively large $g$ prior to minimize prior impact on the results, stay close to OLS coefficients, and represent the absolute lack of prior knowledge. Others (e.g. \citealt{cic08}) demonstrate that such a large $g$ may not be robust to noise innovations and risks over-fitting -- in particular if the the noise component plays a substantial role in the data. Again others \citep{eichi07} advocate intermediate fixed values for the $g$ priors or present alternative default specifications \citep{liang:mgp}.\footnote{Note however, that $g$ should in general be monotonously increasing in $N$: \citet{fls:bmp} prove that this sufficient for 'consistency', i.e. if there is one single linear model as in equation (\ref{eq:lm}), than its PMP asymptotically reaches 100\% as sample size $N \rightarrow \infty$.} In BMS, any fixed $g$-prior may be specified directly by submitting its value to the \verb+bms+ function argument \verb+g+. For instance, compare the results for the \citet{fls:ccg} setting when a more conservative prior such as $g=5$ is employed (and far too few iterations are performed): <>= fls_g5 = BMS:::.flsresultlist('fls_g5') @ <>= fls_g5 = bms(datafls, burn=20000, iter=50000, g=5, mprior="uniform", user.int=F) @ <>= coef(fls_g5)[1:5,] summary(fls_g5) @ The PIPs and coefficients for the best five covariates are comparable to the results from section \ref{ssec:fls} but considerably smaller, due to a tight shrinkage factor of $\frac{g}{1+g}=\frac{5}{6}$ (cf. section \ref{ssec:zg}). More important, the posterior expected model size \Sexpr{round(sum(coef(fls_g5)[,1]),1)} exceeds that of \verb+fls_combi+ by a large amount. This stems from the less severe size penalty imposed by eliciting a small $g$. Finally, with \Sexpr{round(cor(pmp.bma(fls_g5))[2,1],2)}, the correlation between analytical and MCMC PMPs means that the MCMC sampler has not at all converged yet. \citet{fz:superM} show that the smaller the $g$ prior, the less concentrated is the PMP distribution, and therefore the harder it is for the MCMC sampler to provide a reasonable approximation to the actual PMP distribution. Hence the above command should actually be run with many more iterations in order to achieve meaningful results. \subsection{Model-specific g-Priors} Eliciting a fixed $g$-prior common to all models can be fraught with difficulties and unintended consequences. Several authors have therefore proposed to rely on model-specific priors (cf. \citealt{liang:mgp} for an overview), of which the following allow for closed-form solutions and are implemented in BMS: \begin{itemize} \item Empirical Bayes $g$ -- local (\verb+EBL+): $g_\gamma=arg max_g \; p(y|M_\gamma,X,g)$. Authors such as \citet{george00} or \citet{hansen01} advocate an 'Empirical Bayes' approach by using information contained in the data $(y,X)$ to elicit $g$ via maximum likelihood. This amounts to setting $g_\gamma=\max(0,F^{OLS}_\gamma-1)$ where $F^{OLS}_\gamma$ is the standard OLS F-statistic for model $M_\gamma$. Apart from obvious advantages discussed below, the \verb+EBL+ prior is not so popular since it involves 'peeking' at the data in prior formulation. Moreover, asymptotic 'consistency' of BMA is not guaranteed in this case. \item Hyper-$g$ prior (\verb+hyper+): \citet{liang:mgp} propose putting a hyper-prior $g$; In order to arrive at closed-form solutions, they suggest a Beta prior on the shrinkage factor of the form $\frac{g}{1+g} \sim Beta \left(1, \frac{a}{2}-1 \right)$, where $a$ is a parameter in the range $2 < a \leq 4$. Then, the prior expected value of the shrinkage factor is $E(\frac{g}{1+g})=\frac{2}{a}$. Moreover, setting $a=4$ corresponds to uniform prior distribution of $\frac{g}{1+g}$ over the interval $[0,1]$, while $a \rightarrow 2$ concentrates prior mass very close to unity (thus corresponding to $g\rightarrow \infty$). (\verb+bms+ allows to set $a$ via the argument \verb+g="hyper=x"+, where \verb+x+ denotes the $a$ parameter.) The virtue of the hyper-prior is that it allows for prior assumptions about $g$, but relies on Bayesian updating to adjust it. This limits the risk of unintended consequences on the posterior results, while retaining the theoretical advantages of a fixed $g$. Therefore \citet{fz:superM} prefer the use of hyper-$g$ over other available $g$-prior frameworks. \end{itemize} Both model-specific $g$ priors adapt to the data: The better the signal-to-noise ratio, the closer the (expected) posterior shrinkage factor will be to one, and vice versa. Therefore average statistics on the shrinkage factor offer the interpretation as a 'goodness-of-fit' indicator (\citet{fz:superM} show that both EBL and hyper-$g$ can be interpreted in terms of the OLS F-statistic). Consider, for instance, the \citet{fls:ccg} example under an Empirical Bayes prior: <>= fls_ebl = BMS:::.flsresultlist('fls_ebl') @ <>= fls_ebl = bms(datafls, burn=20000, iter=50000, g="EBL", mprior="uniform", nmodel=1000, user.int=F) @ <<>>= summary(fls_ebl) @ The result \verb+Shrinkage-Stats+ reports a posterior average EBL shrinkage factor of \Sexpr{round(as.numeric(strsplit(summary(fls_ebl)[13],"=")[[1]][[2]]),3)}, which corresponds to a shrinkage factor $\frac{g}{1+g}$ under $g\approx $ \Sexpr{round(1/(1-as.numeric(strsplit(summary(fls_ebl)[13],"=")[[1]][[2]]))-1,-0)}. Consequently, posterior model size is considerably larger than under \verb+fls_combi+, and the sampler has had a harder time to converge, as evidenced in a quite low \verb+Corr PMP+. Both conclusions can also be drawn from performing the \verb+plot(fls_ebl)+ command that combines the \verb+plotModelsize+ and \verb+plotConv+ functions: <>= plot(fls_ebl) @ The upper chart shows that posterior model size distribution remains very close to the model prior; The lower part displays the discord between iteration count frequencies and analytical PMPs. The above results show that using a flexible and model-specific prior on \citet{fls:ccg} data results in rather small posterior estimates of $\frac{g}{1+g}$, thus indicating that the \verb+g="BRIC"+ prior used in \verb+fls_combi+ may be set too far from zero. This interacts with the uniform model prior to concentrate posterior model mass on quite large models. However, imposing a uniform model prior means to expect a model size of $K/2=20.5$, which may seem overblown. Instead, try to impose smaller model size through a corresponding model prior -- e.g. impose a prior model size of 7 as in \citet{bace04}. This can be combined with a hyper-$g$ prior, where the argument \verb+g="hyper=UIP"+ imposes an $a$ parameter such that the prior expected value of $g$ corresponds to the unit information prior ($g=N$).\footnote{This is the default hyper-g prior and may therefore be as well obtained with \texttt{g=\textquotedbl hyper \textquotedbl}. } <>= fls_hyper = BMS:::.flsresultlist('fls_hyper') @ <>= fls_hyper = bms(datafls, burn=20000, iter=50000, g="hyper=UIP", mprior="random", mprior.size=7, nmodel=1000, user.int=F) @ <>= summary(fls_hyper) @ From \verb+Shrinkage-Stats+, posterior expected shrinkage is \Sexpr{round(fls_hyper$gprior.info$shrinkage.moments[[1]],3) }, with rather tight standard deviation bounds. Similar to the EBL case before, the data thus indicates that shrinkage should be rather small (corresponding to a fixed g of $g \approx$ \Sexpr{round(1/(1-as.numeric(fls_hyper$gprior.info$shrinkage.moments[[1]]))-1,-0)}) and not vary too much from its expected value. Since the hyper-g prior induces a proper posterior distribution for the shrinkage factor, it might be helpful to plot its density with the command below. The chart confirms that posterior shrinkage is tightly concentrated above \Sexpr{ round(fls_hyper$gprior.info$shrinkage.moments[[1]]-as.numeric(strsplit(summary(fls_hyper)[13],"=")[[1]][[3]]),2)}. <>= gdensity(fls_hyper) @ While the hyper-g prior had an effect similar to the EBL case \verb+fls_ebl+, the model prior now employed leaves the data more leeway to adjust posterior model size. The results depart from the expected prior model size and point to an intermediate size of ca. \Sexpr{round(sum(estimates.bma(fls_hyper)[,1]),0)}. The focus on smaller models is evidenced by charting the best 1,000 models with the \verb+image+ command: <>= image(fls_hyper) @ In a broad sense, the coefficient results correspond to those of \verb+fls_combi+, at least in expected values. However, the results from \verb+fls_hyper+ were obtained under more sophisticated priors that were specifically designed to avoid unintended influence from prior parameters: By construction, the large shrinkage factor under \verb+fls_combi+ induced a quite small posterior model size of \Sexpr{round(as.numeric(summary(fls_combi)[[1]]),1)} and concentrated posterior mass tightly on the best models encountered (they make up \Sexpr{round(as.numeric(summary(fls_combi)[[8]]),0)}\% of the entire model mass). In contrast, the hyper-g prior employed for \verb+fls_hyper+ indicated a rather low posterior shrinkage factor and consequently resulted in higher posterior model size (\Sexpr{round(as.numeric(summary(fls_hyper)[[1]]),1)}) and less model mass concentration (\Sexpr{round(as.numeric(summary(fls_hyper)[[8]]),0)}\%). \subsection{Posterior Coefficient Densities} In order to compare more than just coefficient expected values, it is advisable to consult the entire posterior distribution of coefficients. For instance, consult the posterior density of the coefficient for \verb+Muslim+, a variable with a PIP of \Sexpr{round(estimates.bma(fls_combi)["Muslim",1],3)*100}\%: The \verb+density+ method produces marginal densities of posterior coefficient distributions and plots them, where the argument \verb+reg+ specifies the variable to be analyzed. <>= density(fls_combi,reg="Muslim") @ We see that the coefficient is neatly above zero, but somewhat skewed. The integral of this density will add up to \Sexpr{round(estimates.bma(fls_combi, exact=T)["Muslim",1],3)}, conforming to the analytical PIP of \verb+Muslim+. The vertical bars correspond to the analytical coefficient conditional on inclusion from \verb+fls_combi+ as in <<>>= coef(fls_combi,exact=T,condi.coef=T)["Muslim",] @ Note that the posterior marginal density is actually a model-weighted mixture of posterior densities for each model and can this be calculated only for the top models contained in \verb+fls_combi+ (here \Sexpr{length(fls_combi[["topmod"]][["lik"]]())}). Now let us compare this density with the results under the hyper-$g$ prior:\footnote{Since for the hyper-$g$ prior, the marginal posterior coefficient distribution derive from quite complicated expressions, executing this command could take a few seconds.} <>= dmuslim=density(fls_hyper,reg="Muslim",addons="Eebl") @ Here, the \verb+addons+ argument assigns the vertical bars to be drawn: the expected conditional coefficient from MCMC (\verb+E+) results should be indicated in contrast to the expected coefficient based on analytical PMPs (\verb+e+). In addition the expected coefficients under the individual models are plotted (\verb+b+) and a legend is included (\verb+l+). The density seems more symmetric than before and the analytical results seem to be only just smaller than what could be expected from MCMC results. Nonetheless, even though \verb+fls_hyper+ and \verb+fls_combi+ applied very different $g$ and model priors, the results for the \verb+Muslim+ covariate are broadly similar: It is unanimously positive, with a conditional expected value somewhat above $0.01$. In fact 95\% of the posterior coefficient mass seems to be concentrated between \Sexpr{round(BMS:::quantile.coef.density(dmuslim,.025),3)} and \Sexpr{round(BMS:::quantile.coef.density(dmuslim,.975),3)}: <<>>= quantile(dmuslim, c(0.025, 0.975)) @ \section{Predictive Densities} Of course, BMA lends itself not only to inference, but also to prediction. The employed 'Bayesian Regression' models naturally give rise to predictive densities, whose mixture yields the BMA predictive density -- a procedure very similar to the coefficient densities explored in the previous section. Let us, for instance, use the information from the first 70 countries contained in \texttt{datafls} to forecast economic growth for the latter two, namely Zambia (identifier \texttt{ZM}) and Zimbabwe (identifier \texttt{ZW}). We then can use the function \texttt{pred.density} on the BMA object \texttt{fcstbma} to form predictions based on the explanatory variables for Zambia and Zimbabwe (which are in \verb+datafls[71:72,]+). <<>>= fcstbma= bms(datafls[1:70,], mprior="uniform", burn=20000, iter=50000, user.int=FALSE) pdens = pred.density(fcstbma, newdata=datafls[71:72,]) @ The resulting object \texttt{pdens} holds the distribution of the forecast for the two countries, conditional on what we know from other countries, and the explanatory data from Zambia and Zimbabwe. The expected value of this growth forecast is very similar to the classical point forecast and can be accessed with \verb+pdens$fit+.\footnote{Note that this is equivalent to \texttt{predict(fcstbma, datafls[71:72, ])} .} Likewise the standard deviations of the predictive distribution correspond to classical standard errors and are returned by \verb+pdens$std.err+. But the predictive density for the growth in e.g. Zimbabwe might be as well visualized with the following command:\footnote{Here, 2 means to plot for the second forecasted observation, in this case \texttt{ZW}, the 72-th row of \texttt{datafls}.} <>= plot(pdens, 2) @ Here, we see that conditional on Zimbabwe's explanatory data, we expect growth to be concentrated around \Sexpr{round(pdens[['fit']][2],2)}. And the actual value in \verb+datafls[72,1]+ with $0.0046$ is not too far off from that prediction. A closer look at both our densities with the function \texttt{quantile} shows that for Zimbabwe, any growth rate between \Sexpr{ round(quantile(pdens,c(.05,.95))[2,1], 2) } and \Sexpr{ round(quantile(pdens,c(.05,.95))[2,2], 2) } is quite likely. <<>>= quantile(pdens, c(0.05, 0.95)) @ For Zambia (\texttt{ZM}), though, the explanatory variables suggest that positive economic growth should be expected. But over our evaluation period, Zambian growth has been even worse than in Zimbabwe (with \Sexpr{ round(datafls[71,1], 2) } as from \verb+datafls["ZM",1]+).\footnote{Note that since \texttt{ZM} is the rowname of the 71-st row of \texttt{datafls}, this is equivalent to calling \texttt{datafls[71, ]}.} Under the predictive density for Zambia, this actual outcome seems quite unlikely. To compare the BMA prediction performs with actual outcomes, we could look e.g. at the forecast error \verb+pdens$fit - datafls[71:72,1]+. However it would be better to take standard errors into account, and even better follow the 'Bayesian way' and evaluate the predictive density of the outcomes as follows: <<>>= pdens$dyf(datafls[71:72,1]) @ The density for Zimbabwe is quite high (similar to the mode of predictive density as seen in the chart above), whereas the one for Zambia is quite low. In order to visualize how bad the forecast for Zambia was, compare a plot of predictive density to the actual outcome, which is situated far to the left. <>= plot(pdens, "ZM", realized.y=datafls["ZM",1]) @ The results for Zambia suggest either that it is an outlier or that our forecast model might not perform that well. One could try out other prior settings or data, and compare the differing models in their joint predictions for Zambia and Zimbabwe (or even more countries). A standard approach to evaluate the goodness of forecasts would be to e.g. look at root mean squared errors. However Bayesians (as e.g \citealt{fls:bmp}) often prefer to look at densities of the outcome variables and combine them in a 'log-predictive score' (LPS). It is defined as follows, where $p(y^f_i | X, y, X^f_i)$ denotes predictive density for $y^f_i$ (Zambian growth) based on the model information $(y, X)$ (the first 70 countries) and the explanatory variables for the forecast observation (Zambian investment, schooling, etc.). $$ - \sum_i \log(p(y^f_i | X, y, X^f_i)) $$ The log-predictive score can be accessed with \verb+lps.bma+. <<>>= lps.bma(pdens, datafls[71:72,1]) @ Note however, that the LPS is only meaningful when comparing different forecast settings. \addcontentsline{toc}{section}{References} \bibliography{bmasmall} %\bibliography{C:/Programme/LatexLibs/bma} \bibliographystyle{apalike} \clearpage \appendix \section{Appendix} \subsection{Available Model Priors -- Synopsis}\label{ssec:mpriorsyn} The following provides an overview over the model priors available in \verb+bms+. Default is \verb+mprior="random"+. For details and examples on built-in priors, consult \verb+help(bms)+. For defining different, custom $g$-priors, consult \verb+help(gprior)+ or \texttt{http://bms.zeugner.eu/custompriors.php}. \subsubsection*{Uniform Model Prior} \begin{itemize} \item \emph{Argument}: \verb+mprior="uniform"+ \item \emph{Parameter}: none \item \emph{Concept}: $p(M_\gamma) \propto 1$ \item \emph{Reference}: none \end{itemize} \subsubsection*{Binomial Model Prior} \begin{itemize} \item \emph{Argument}: \verb+mprior="fixed"+ \item \emph{Parameter} (\verb+mprior.size+): prior model size $\bar{m}$ (scalar); Default is $\bar{m}=K/2$ \item \emph{Concept}: $p(M_\gamma) \propto \left(\frac{\bar{m}}{K}\right)^{k_\gamma} \left(1-\frac{\bar{m}}{K}\right)^{K-k_\gamma}$ \item \emph{Reference}: \citet{bace04} \end{itemize} \subsubsection*{Beta-Binomial Model Prior} \begin{itemize} \item \emph{Argument}: \verb+mprior="random"+ \item \emph{Parameter} (\verb+mprior.size+): prior model size $\bar{m}$ (scalar) \item \emph{Concept}: $p(M_\gamma) \propto \Gamma(1+k_\gamma) \Gamma( \frac{K-m}{m} + K-k_\gamma)$; Default is $\bar{m}=K/2$ \item \emph{Reference}: \citet{ls08} \end{itemize} \subsubsection*{Custom Prior Inclusion Probabilities} \begin{itemize} \item \emph{Argument}: \verb+mprior="pip"+ \item \emph{Parameter} (\verb+mprior.size+): A vector of size $K$, detailing $K$ prior inclusion probabilities $\pi_i$: $0<\pi<1 \; \forall i$ \item \emph{Concept}: $p(M_\gamma) \propto \prod_{i \in \gamma} \pi_i \; \prod_{j \notin \gamma} (1-\pi_j) $ \item \emph{Reference}: none \end{itemize} \subsubsection*{Custom Model Size Prior} \begin{itemize} \item \emph{Argument}: \verb+mprior="customk"+ \item \emph{Parameter} (\verb+mprior.size+): A vector of size $K+1$, detailing prior $\theta_j$ for 0 to K size models: any real >0 admissible \item \emph{Concept}: $p(M_\gamma) \propto \theta_{k_\gamma}$ \item \emph{Reference}: none \end{itemize} \subsection{Available g-Priors -- Synopsis} The following provides an overview over the $g$-priors available in \verb+bms+. Default is \verb+g="UIP"+. For implementation details and examples, consult \verb+help(bms)+. For defining different, custom $g$-priors, consult \verb+help(gprior)+ or \texttt{http://bms.zeugner.eu/custompriors.php}. \subsubsection*{Fixed $g$} \begin{itemize} \item \emph{Argument}: \verb+g=x+ where \verb+x+ is a positive real scalar; \item \emph{Concept}: Fixed $g$ common to all models \item \emph{Reference}: \citet{fls:bmp} \item \emph{Sub-options}: Unit information prior \verb+g="UIP"+ sets $g=N$; \verb+g="BRIC"+ sets $g=\max(N,K^2)$, a combination of BIC and RIC. (Note these two options guarantee asymptotic consistency.) Other options include \verb+g="RIC"+ for $g=K^2$ and \verb+g="HQ"'+ for the Hannan-Quinn setting $g=\log(N)^3$. \end{itemize} \subsubsection*{Empirical Bayes (Local) $g$} \begin{itemize} \item \emph{Argument}: \verb+g="EBL"+ \item \emph{Concept}: Model-specific $g_\gamma$ estimated via maximum likelihood: amounts to $g_\gamma=\max(0,F_\gamma-1)$, where $F_\gamma \equiv \frac{R^2_\gamma (N-1-k_\gamma)}{(1-R^2_\gamma) k_\gamma}$ and $R^2_\gamma$ is the OLS R-squared of model $M_\gamma$. \item \emph{Reference}: \citet{george00}; \citet{liang:mgp} \item \emph{Sub-options}: none \end{itemize} \subsubsection*{Hyper-$g$ prior} \begin{itemize} \item \emph{Argument}: \verb+g="hyper"+ \item \emph{Concept}: A Beta prior on the shrinkage factor with $p(\frac{g}{1+g}) = B(1,\frac{a}{2}-1)$. Parameter $a$ ($2 < a \leq 4$) represents prior beliefs: $a=4$ implies prior shrinkage to be uniformly distributed over $[0,1]$, $a \rightarrow 2$ concentrates mass close to unity. Note that prior expected value of the shrinkage facor is $E(\frac{g}{1+g}) = \frac{2}{a}$. \item \emph{Reference}: \citet{liang:mgp}; \citet{fz:superM} \item \emph{Sub-options}: \verb+g="hyper=x"+ with \verb+x+ defining the parameter $a$ (e.g. \verb+g="hyper=3"+ sets $a=3$). \verb+g="hyper"+ resp. \verb+g="hyper=UIP"+ sets the prior expected shrinkage factor equivalent to the UIP prior $E(\frac{g}{1+g})=\frac{N}{1+N}$; \verb+g="hyper=BRIC"+ sets the prior expected shrinkage factor equivalent to the BRIC prior. Note that the latter two options guarantee asymptotic consistency. \end{itemize} \subsection{'Bayesian Regression' with Zellner's $g$ -- Bayesian Model Selection}\label{ssec:zlm} The linear model presented in section \ref{ssec:zg} using Zellner's $g$ prior is implemented under the function \verb+zlm+. For instance, we might consider the attitude data from section \ref{sec:example} and estimate just the full model containing all 6 variables. For this purpose, first load the built-in data set with the command <<>>= data(attitude) @ The full model is obtained by applying the function \texttt{zlm} on the data set and storing the estimation into \texttt{att\_full}. Zellner's $g$ prior is estimated by the argument \texttt{g} just in the same way as in section \ref{sec:gprior}.\footnote{Likewise, most methods applicable to \texttt{bms}, such as \texttt{density}, \texttt{predict} or \texttt{coef}, work analogously for \texttt{zlm}.} <<>>= att_full = zlm(attitude,g="UIP") @ The results can then be displayed by using e.g. the \verb+summary+ method. <<>>= summary(att_full) @ The results are very similar to those resulting from OLS (which can be obtained via \verb+summary(lm(attitude))+). The less conservative, i.e. the larger $g$ becomes, the closer the results get to OLS. But remember that the full model was not the best model from the BMA application in section \ref{sec:example}. In order to extract the best encountered model, use the function \verb+as.zlm+ to extract this single model for further analysis (with the argument \verb+model+ specifying the rank-order of the model to be extracted). The following command reads the best model from the BMA results in section into the variable \verb+att_best+. <<>>= att_best = as.zlm(att,model=1) summary(att_best) @ As suspected, the best model according to BMA is the on including only \verb+complaints+ and the intercept, as it has the highest log-marginal likelihood (\verb+logLik(att_best)+). In such a way, the command \texttt{as.zlm} can be combined with \texttt{bms} for 'Bayesian Model Selection', i.e. using the model prior and posterior framework to focus on teh model with highest posterior mass. Via the utility \texttt{model.frame}, this best model can be straightforwardly converted into a standard OLS model: <<>>= att_bestlm = lm(model.frame(as.zlm(att))) summary(att_bestlm) @ \subsection{BMA when Keeping a Fixed Set of Regressors}\label{ssec:fixreg} While BMA should usually compare as many models as possible, some considerations might dictate the restriction to a subspace of the $2^K$ models. For complicated settings one might employ a customly designed model prior (cf. section \ref{ssec:mpriorsyn}). The by far most common setting, though, is to keep some regressors fixed in the model setting, and apply Bayesian Model uncertainty only to a subset of regressors. Suppose, for instance, that prior research tells us that any meaningful model for \texttt{attitude} (as in section \ref{sec:example}) must include the variables \texttt{complaints} and \texttt{learning}. The only question is whether the additional four variables matter (which reduces the potential model space to $2^4=16$). We thus sample over these models while keeping \texttt{complaints} and \texttt{learning} as fixed regressors: <<>>= att_learn = bms(attitude,mprior="uniform", fixed.reg=c("complaints", "learning") ) @ The results show that the PIP and the coefficients for the remaining variables increase a bit compared to \texttt{att}. The higher PIPs are related to the fact that the posterior model size (as in \verb+sum(coef(att_learn)[,1])+) is quite larger as under \texttt{att}. This follows naturally from our model prior: putting a uniform prior on all models between parameter size $2$ (the base model) and $6$ (the full model) implies a prior expected model size of $4$ for \texttt{att\_learn} instead of the $3$ for \texttt{att}.\footnote{ The command \texttt{ att\_learn2 = bms(attitude, mprior='fixed', mprior.size=3, fixed.reg=c('complaints', 'learning') ) } produces coefficients that are much more similar to \texttt{att}.} So to achieve comparable results, one needs to take the number of fixed regressors into account when setting the model prior parameter \texttt{mprior.size}. Consider another example: Suppose we would like to sample the importance and coefficients for the cultural dummies in the dataset \texttt{datafls}, conditional on information from the remaining 'hard' variables. This implies keeping 27 fixed regressors, while sampling over the 14 cultural dummies. Since model uncertainty thus applies only to $2^{14}=16,384$ models, we resort to full enumeration of the model space. <<>>= fls_culture = bms(datafls,fixed.reg=c(1,8:16,24,26:41), mprior="random", mprior.size=28, mcmc="enumeration", user.int=F) @ Here, the vector \texttt{c(1,8:16,24,26:41)} denotes the indices of the regressors in \texttt{datafls} to be kept fixed.\footnote{Here, indices start from the first regressor, i.e. they do not take the dependent variable into account. The fixed data used above therefore corresponds to \texttt{datafls[ ,c(1,8:16,24,26:41) $+$ 1]}.} Moreover, we use the beta-binomial ('random') model prior. The prior model size of $30$ embodies our prior expectation that on average $1$ out of the $14$ cultural dummies should be included in the true model. As we only care about those 14 variables, let us just display the results for the 14 variables with the least PIP: <<>>= coef(fls_culture)[28:41, ] @ As before, we find that \texttt{Confucian} (with positive sign) as well as \texttt{Hindu} and \texttt{SubSahara} (negative signs) have the most important impact conditional on 'hard' information. Moreover, the data seems to attribute more importance to cultural dummies as we expectd with our model prior: Comparing prior and posterior model size with the following command shows how much importance is attributed to the dummies. <>= plotModelsize(fls_culture, ksubset=27:41) @ Expected posterior model size is close to \Sexpr{ round(sum(coef(fls_culture)[,1]),0) }, which means that \Sexpr{ round(sum(coef(fls_culture)[,1]),0) -27 } of the cultural dummies should actually be included in a 'true' model. \end{document}BMS/R/0000755000176200001440000000000014273167040011100 5ustar liggesusersBMS/R/aux_outer.R0000644000176200001440000063044114272455271013253 0ustar liggesusers########################################### # This version: adjusted on 2022-07-09 # ########################################### # it includes all the auxiliary functions that should only be called inside as well as OUTSIDE the bms function ####################### # FUNCTIONS FOR USERS # ######################################################################### # SEE ALSO PLOTTING FUCNTIONS AT THE END # beta.draws.bma, pmp.bma, estimates.bma, info.bma # cf. as well the functions combine_chains & [.bma farther below # moreover: bin2hex, hex2bin, f21simple, fullmodel.ssq, is.bma, print.bma, summary.bma, print.topmod, is.topmod # plotting: plotModelsize, plotComp, plotConv, plotDensity, plot.bma, image.bma #' Coefficients of the Best Models #' #' Returns a matrix whose columns are the (expected value or standard #' deviations of) coefficients for the best models in a bma object. #' #' #' @param bmao a 'bma' object (as e.g. resulting from \code{\link{bms}}) #' @param stdev if \code{stdev=FALSE} then \code{beta.draws.bma} returns the #' (conditional) posterior expected values of the coefficients (i.e. 'Bayesian #' coefficients'). If \code{stdev=TRUE} it returns their posterior standard #' deviations. #' @return Each column presents the coefficients for the model indicated by its #' column name. The zero coefficients are the excluded covariates per model. #' Note that the coefficients returned are only those of the best (100) models #' encountered by the \code{bma} object (cf. argument \code{nmodels} of #' \code{\link{bms}}). #' #' For aggregate coefficients please refer to \code{\link{coef.bma}}. #' @note Note that the elements of \code{beta.draws.bma(bmao)} correspond to #' \code{bmao$topmod$betas()} #' @seealso \code{\link{bms}} for creating bms objects, \code{\link{coef.bma}} #' for aggregate coefficients #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' #' #sample a bma object: #' data(datafls) #' mm=bms(datafls,burn=500,iter=5000,nmodel=20) #' #' #coefficients for all #' beta.draws.bma(mm) #' #' #standard deviations for the fourth- to eight best models #' beta.draws.bma(mm[4:8],TRUE); #' #' @export beta.draws.bma <- function(bmao,stdev=FALSE) { # constructs a nice matrix of the betas of the best models stored in topmods # bmao: bma object if (!is.bma(bmao)) {stop("you need to provide a BMA object"); return()} resmat=.post.beta.draws(bmao$topmod, bmao$reg.names,FALSE) if (stdev) { mom2=.post.beta.draws(bmao$topmod, bmao$reg.names,TRUE) resmat=sqrt(mom2-resmat^2) } return(resmat) } #' Posterior Model Probabilities #' #' Returns the posterior model probabilites for the best models encountered by #' a 'bma' object #' #' A call to bms with an MCMC sampler (e.g. #' \code{bms(datafls,mcmc="bd",nmodel=100)} uses a Metropolis-Hastings #' algorithm to sample through the model space - and the frequency of how often #' models are drawn converges to the distribution of their posterior marginal #' likelihoods. While sampling, each 'bma' object stores the best models #' encountered by its sampling chain with their marginal likelihood and their #' MCMC frequencies. #' #' \code{pmp.bma} then allows for comparing the posterior model probabilities #' (PMPs) for the two different methods, similar to \code{\link{plotConv}}. It #' calculates the PMPs based on marginal likelihoods (first column) and the #' PMPs based on MCMC frequencies (second column) for the best x models stored #' in the bma object. #' #' The correlation of the two columns is an indicator of how well the MCMC #' sampler has converged to the actual PMP distribution - it is therefore also #' given in the output of \code{\link{summary.bma}}. #' #' The second column is slightly different in case the \code{\link{bms}} #' argument \code{mcmc} was set to \code{mcmc="enumeration"}: In this case, the #' second column is also based on marginal likelihoods. The correlation between #' the two columns is therefore one. #' #' @param bmao A bma object (see argument \code{nmodel} in \code{\link{bms}}), #' alternatively an object of class \code{\link{topmod}} #' @param oldstyle For normal use, leave this at \code{FALSE}. It is an #' argument for compatibility with older BMS versions - see section 'Notes' #' @return the result is a matrix, its row names describe the model binaries\cr #' There are two columns in the matrix: \item{PMP (Exact)}{posterior model #' probabilities based on the posterior likelihoods of the best models in #' \code{bmao} } \item{PMP (MCMC)}{posterior model probabilities of the best #' models in \code{bmao} based on their MCMC frequencies, relative to all #' models encountered by \code{bmao} - see 'Details' } #' @note The second column thus shows the PMPs of the best models relative to #' all models the call to \code{\link{bms}} has sampled through (therefore #' typically the second column adds up to less than one). The first column #' relates to the likelihoods of the best models, therefore it would add up to #' 1. In order estimate for their marginal likelihoods with respect to the #' other models (the ones not retained in the best models), these PMP aadding #' up to one are multiplied with the sum of PMP of the best models accroding to #' MCMC frequencies. Therefore, the two columns have the same column sum. #' #' CAUTION: In package versions up to \code{BMS 0.2.5}, the first column was #' indeed set always equal to one. This behaviour can still be mimicked by #' setting \code{oldstyle=TRUE}. #' #' @seealso \code{\link{plotConv}} for plotting \code{pmp.bma}, #' \code{\link{pmpmodel}} to obtain the PMP for any individual model, #' \code{\link{bms}} for sampling bma objects #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' #' ## sample BMA for growth dataset, MCMC sampler #' data(datafls) #' mm=bms(datafls[,1:10],nmodel=20, mcmc="bd") #' #' ## mmodel likelihoods and MCMC frequencies of best 20 models #' print(mm$topmod) #' #' pmp.bma(mm) #' #first column: posterior model prob based on model likelihoods, #' # relative to best models in 'mm' #' #second column: posterior model prob based MCMC frequencies, #' # relative to all models encountered by 'mm' #' #' #consequently, first column adds up to one #' #second column shows how much of the sampled model space is #' # contained in the best models #' colSums(pmp.bma(mm)) #' #' #' #correlation betwwen the two shows how well the sampler converged #' cor(pmp.bma(mm)[,1],pmp.bma(mm)[,2]) #' #' #is the same as given in summary.bma #' summary(mm)["Corr PMP"] #' #' #plot the two model probabilites #' plotConv(mm) #' #' #equivalent to the following chart #' plot(pmp.bma(mm)[,2], type="s") #' lines(pmp.bma(mm)[,1],col=2) #' #' #' #moreover, note how the first column is constructed #' liks=exp(mm$top$lik()) #' liks/sum(liks) #' pmp.bma(mm)[,1] #these two are equivalent #' #' #' #' #the example above does not converge well, #' #too few iterations and best models #' # this is already better, but also not good #' mm=bms(datafls[,1:10],burn=2000,iter=5000,nmodel=200) #' #' #' # in case the sampler has been 'enumeration' instead of MCMC, #' # then both matrix columns are of course equivalent #' mm=bms(datafls[,1:10],nmodel=512,mcmc="enumeration") #' cor(pmp.bma(mm)[,1],pmp.bma(mm)[,2]) #' colSums(pmp.bma(mm)) #' #' #' @export pmp.bma <- function(bmao, oldstyle=FALSE) { # constructs nice matrix with PMP analytical and PMP MCMC for best models stored in topmods # Prob of top "nmodel" models, analytical (after deleting rest of models)' # bmao: either the topmodel object or a "bma" object if (!(is.bma(bmao)||is.topmod(bmao))) stop("bmao needs to be a 'bma' object!") if (is.topmod(bmao)) { topmods=bmao was.enum=FALSE cumsumweights=sum(topmods$ncount()) log.null.lik=0 } else { topmods=bmao$topmod log.null.lik=(1-bmao$info$N)/2*log(as.vector(crossprod(bmao$arguments$X.data[,1]-mean(bmao$arguments$X.data[,1])))) cumsumweights=bmao$info$cumsumweights was.enum=(bmao$arguments$mcmc=="enum") } lt1=suppressWarnings(topmods$lik() - max(topmods$lik())) # do this to get only positive probabilities lt1=exp(lt1)/sum(exp(lt1)) if (was.enum) { lt2=exp(topmods$lik()-log.null.lik)/cumsumweights #Prob of top "nmodel" models, (loglik based) } else { lt2=topmods$ncount()/cumsumweights #MCMC Prob of top "nmodel" models, numerical } cpoint=min(length(lt1),length(lt2)) lt1=lt1[1:cpoint]; lt2=lt2[1:cpoint] if (!oldstyle) lt1 <- lt1*sum(lt2) #rbind the probs to the topmodmatrix topmodout=rbind(lt1, lt2) rownames(topmodout)=c("PMP (Exact)","PMP (MCMC)") colnames(topmodout)=topmods$bool() return(t(topmodout)) } #' Posterior Model Probability for any Model #' #' Returns the posterior model probability for any model based on bma results #' #' If the model as provided in \code{model} is the null or the full model, or #' is contained in \code{bmao}'s topmod object (cf. argument \code{nmodel} in #' \code{\link{bms}}), \cr then the result is the same as in #' \code{\link{pmp.bma}}.\cr If not and \code{exact=TRUE}, then \code{pmpmodel} #' estimates the model based on comparing its marginal likelihood (times model #' prior) to the likelihoods in the \code{topmod} object and multiplying by #' their sum of PMP according to MCMC frequencies, #' #' @param bmao A bma object as created by \code{\link{bms}}. #' @param model A model index - either variable names, or a logical with model #' binaries, or the model hexcode (cf. \code{\link{hex2bin}}, or a numeric with #' positions of the variables to be included. #' @param exact If \code{TRUE}, then the resulting PMP is based on analytical #' model likelihoods (works for any model). \cr If \code{FALSE}, the the #' resulting PMP is derived from MCMC frequencies (works only for the null and #' fullmodel, as well as for models contained in \code{bmao}'s topmod #' object.\cr If \code{bmao} is based on enumeration (cf. argument \code{mcmc} #' in \code{\link{bms}}, then \code{exact} does not matter. #' @return A scalar with (an estimate of) the posterior model probability for #' \code{model} #' @seealso \code{\link{pmp.bma}} for similar #' functions #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' #' ## sample BMA for growth dataset, enumeration sampler #' data(datafls) #' mm=bms(datafls[,1:10],nmodel=5) #' #' #show the best 5 models: #' pmp.bma(mm) #' #first column: posterior model prob based on model likelihoods, #' #second column: posterior model prob based MCMC frequencies, #' #' ### Different ways to get the same result: ######### #' #' #PMP of 2nd-best model (hex-code representation) #' pmpmodel(mm,"00c") #' #' #PMP of 2nd-best model (binary representation) #' incls=as.logical(beta.draws.bma(mm)[,2]) #' pmpmodel(mm,incls) #' #' #PMP of 2nd-best model (via variable names) #' #names of regressors in model "00c": #' names(datafls[,2:10])[incls] #' pmpmodel(mm,c("SubSahara", "LatAmerica")) #' #' #PMP of 2nd-best model (via positions) #' pmpmodel(mm,c(6,7)) #' #' ####PMP of another model ######### #' pmpmodel(mm,1:5) #' #' #' @export pmpmodel= function(bmao, model=numeric(0), exact=TRUE) { #returns the PMP of any model #if model is null, full or contained in topmod, returns the PMP as in pmp.bma #if model is out of topmod but bmao is enumeration, calculates the marg-lik and compares #if model is out of topmod and bmao is MCMC-sampled, then estimates PMP by comparing marg-lik and ncounts if (!is.bma(bmao)) stop("bmao needs to be a bma object") if (!is.vector(model)) stop("model needs to be vector denoting a single model.") K=bmao$info$K was.enum=(bmao$arguments$mcmc=="enum") emptyindex=logical(K) modelhex="" #Conversion of user input if (length(model)==0L) model=numeric(0) if ((is.character(model))&&(all(model %in% bmao$reg.names))) { mix=match(model, bmao$reg.names) if (any(is.na(mix))) stop("Provided variable names do not conform to bma object") emptyindex[mix]=TRUE; model=emptyindex } else if ((length(model)==1L)&&all(is.character(model))) { modelhex=model model=as.logical(hex2bin(model)); if (length(model)>K) model=model[-(1:(length(model)-K))] } else if (is.logical(model)||((length(model)==K)&&(is.numeric(model)&& max(model)<2))) { if (length(model)>K) model=model[-(1:(length(model)-K))] model=as.logical(model) } else if (is.numeric(model)) { emptyindex[model]=TRUE; model=emptyindex } else stop("model needs to be an integer, logical or character model index representation (hexcode or variable names)") if (any(is.na(model))) stop("Provided model index does not seem to exist.") if (modelhex=="") modelhex=bin2hex(model) # now model is a logical vector, modelhex its hex representation #last user check fixed.pos = bmao$mprior.info$fixed.pos if (is.null(fixed.pos)) fixed.pos=numeric(0) if (any(model[fixed.pos]!=TRUE)) stop("Such a model was excluded by bmao's argument fixed.reg") # prior calculations bools=bmao$topmod$bool() liks=bmao$topmod$lik() ncounts=bmao$topmod$ncount() cumsumweights=bmao$info$cumsumweights yty=as.vector(crossprod(bmao$arguments$X.data[,1,drop=TRUE]-mean(bmao$arguments$X.data[,1,drop=TRUE]))) log.null.lik= bmao$gprior.info$lprobcalc$just.loglik(ymy=yty,k=0) #look up whether model is in topmodels mix=match(modelhex,bools) # first treat case when MCMC sampler and exact =FALSE if ((!exact) && (!was.enum)) { if (!is.na(mix)) { return(ncounts[[mix]]/cumsumweights) } else if (!any(model)||all(model)) { return(bmao$info$k.vec[sum(model)+1]/cumsumweights) } else { stop("Model MCMC-based PMP cannot be found. Try exact=TRUE .") } } # now treat the cases where exact = TRUE or was.enum=TRUE if (!is.na(mix)) { loglik=liks[mix] #if yes and exact return its PMP } else if (was.enum && (!any(model)||all(model))) { loglik = log(bmao$info$k.vec[sum(model)+1])+log.null.lik # stuff in info is saved as sum(Lik_model / Lik_null) } else { if (!was.enum && (length(liks)==0L)) stop("bmao needs to contain more than 0 top models to provide an estimate for your model index.") if (sum(model)==0L) { loglik= log.null.lik + bmao$mprior.info$pmp(ki=0, mdraw=rep(0,K), ymy=yty) } else { zz=zlm(bmao$arguments$X.data[,c(TRUE,model),drop=FALSE], g=bmao$gprior.info) loglik=zz$marg.lik+bmao$mprior.info$pmp(ki=sum(model), mdraw=as.numeric(model), ymy=zz$olsres$ymy) } } if (was.enum) { return(exp(loglik-log.null.lik)/cumsumweights) } #estimate pmp of model compared to top models # then multply with a factor by comparing ncount and liks so to estimate overall pmp of model pmp_withintop=exp(loglik-log.null.lik)/sum(exp(liks-log.null.lik)) return(pmp_withintop*sum(ncounts)/cumsumweights) } #' @rdname coef.bma #' @export estimates.bma <- function(bmao,exact=FALSE,order.by.pip=TRUE,include.constant=FALSE,incl.possign=TRUE,std.coefs=FALSE,condi.coef=FALSE) { # constructs a nice estimates matrix with 5 columns: 1) PIP, 2) E(beta|Y), 3) Var(beta|Y), 4) pos. coef. sign (cond. on inclusion, optional), 5) Index in X.data # bmao: bma object; # exact: if True, then calcs posterior stats based on analytical PMPs (likelihoods) in topmods object; if False, then does it as a weighted average (typically with MCMC frequencies) # order.by.pip: if true then the matrix is sorted according to the PIPs (first column) # include.constant: if true, then add the constant in the last row of resultant matrix # incl.possign: if true, then the fouth column details how often the coefficent sign was positive (conditional on inclusion) # std.coefs: if true, then coefficents are standardized # condi.coefs: if true, then the coefficents and standard deviations are not given as overall expected values, but as expected values given inclusion if (!is.bma(bmao)) {stop("you need to provide a BMA object"); return()} if (exact) { #if (bmao$arguments$beta.save==FALSE) stop("exact=TRUE needs betas from the draws: Run estimation again and save betas via setting beta.save=TRUE") if (bmao$topmod$nbmodels==0) stop("exact=TRUE needs at least one 'top model': Run estimation again and set nmodel>0") } bmaest=.post.estimates(bmao$info$b1mo,bmao$info$b2mo,bmao$info$cumsumweights,bmao$info$inccount,bmao$topmod,bmao$arguments$X.data,bmao$reg.names,bmao$info$pos.sign,exact,order.by.pip,include.constant,incl.possign,std.coefs,condi.coef) return(bmaest) } #' @rdname summary.bma #' @export info.bma <- function(bmao) { # constructs an 'info' character matrix with 1 row and the following columns: # bmao: bma object # output: a list that contains information about the "Mean nr. of Regressors" (not counting the constant term), # "Draws"=posterior draws, "Burnins"=nr. of burnins taken, "Time" denotes total time elapsed # since calling the "bms" function, "Nr. of models visited" counts each time a model is accepted. # Note that we do not take into account the case of revisiting models by the sampler. # Modelspace is simply indicating the whole model space (2^K) and percentage visited is # the nr. of models visited as a percentage of 2^K. "Corr PMP" is the correlation between # analytic and MCMC posterior model probabilites, where a correlation of 0.99 indicates # excellent convergence. For "nmodel=100" the best 100 models are considered for the correlation # analysis. Finally, Nr. of Observations is given in the output as well. foo=bmao$info iter=foo$iter; burn=foo$burn; timed=foo$timed; models.visited=foo$models.visited; corr.pmp=foo$corr.pmp; K=foo$K; N=foo$N; msize=foo$msize; cumsumweights=foo$cumsumweights if (is.element("mprior.info",names(bmao))) { prior= paste(bmao$mprior.info$mp.mode, "/", bmao$mprior.info$mp.msize) } else { if (is.element("theta",names(bmao$arguments))&&is.element("prior.msize",names(bmao$arguments))) { if (!is.null(bmao$arguments$theta)&!is.null(bmao$arguments$prior.msize)) prior=paste(bmao$arguments$theta, "/", bmao$arguments$prior.msize) else prior=NA } else { prior=paste(bmao$arguments$mprior, "/", bmao$arguments$mprior.size) } } gprior.info=bmao$gprior.info gprior.choice=gprior.info$gtype model.space=2^K fraction.model=models.visited/model.space*100 fraction.topmodel=sum(bmao$topmod$ncount())/iter*100 # this is the number of visits the topmodels accounted for relative to if (gprior.info$gtype=="hyper") {gprior.choice=paste(gprior.choice," (a=",2+signif(gprior.info$hyper.parameter-2,digits=4),")",sep="")} nr.reg=msize/cumsumweights info<-as.character(c(format(round(nr.reg,4),nsmall=4),format(iter,nsmall=0),format(burn,nsmall=0), format(timed,nsmall=4),models.visited,format(model.space,digits=2), format(fraction.model,digits=2),format(fraction.topmodel,digits=2),format(round(.cor.topmod(bmao$topmod),4),nsmall=4), format(N,nsmall=4),prior, gprior.choice)) names(info)<-c("Mean no. regressors", "Draws","Burnins", "Time", "No. models visited", "Modelspace 2^K", "% visited","% Topmodels","Corr PMP","No. Obs.", "Model Prior", "g-Prior") if (gprior.info$return.g.stats) { gpriorav=gprior.info$shrinkage.moments[1] gstatsprint= paste("Av=", format(gpriorav,digits=4),sep="") if (length(gprior.info$shrinkage.moments)>1) { gpriorstdev=sqrt(gprior.info$shrinkage.moments[2]-gprior.info$shrinkage.moments[1]^2) gstatsprint = paste(gstatsprint, ", Stdev=", format(gpriorstdev,digits=2),sep="") } info <- c(info, gstatsprint) names(info)[13]<- "Shrinkage-Stats" } return(info) } #' Predict Method for bma Objects #' #' Expected value of prediction based on 'bma' object #' #' #' @param object a bma object - see \code{\link{bms}} #' @param newdata An optional data.frame, matrix or vector containing variables #' with which to predict. If omitted, then (the expected values of) the fitted #' values are returned. #' @param exact If \code{FALSE} (default), then prediction is based on all #' models (i.e. on their MCMC frequencies in case the \code{\link{bms}} #' parameter \code{mcmc} was set to an mcmc sampler.\cr If \code{TRUE}, then #' prediction is based on analytical likelihoods of the best models retained in #' \code{object} - cf. \code{\link{bms}} parameter \code{nmodel}. #' @param topmodels index of the models with whom to predict: for instance, #' \code{topmodels=1} predicts based solely on the best model, whereas #' \code{topmodels=1:5} predicts based on a combination of the five best #' models.\cr Note that setting \code{topmodels} triggers \code{exact=TRUE}. #' @param \dots further arguments passed to or from other methods. #' @return A vector with (expected values of) fitted values. #' @seealso \code{\link{coef.bma}} for obtaining coefficients, #' \code{\link{bms}} for creating bma objects, \code{\link{predict.lm}} for a #' comparable function #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' mm=bms(datafls,user.int=FALSE) #' #' predict(mm) #fitted values based on MCM frequencies #' predict(mm, exact=TRUE) #fitted values based on best models #' #' predict(mm, newdata=1:41) #prediction based on MCMC frequencies #' #' predict(mm, newdata=datafls[1,], exact=TRUE) #prediction based on a data.frame #' #' # the following two are equivalent: #' predict(mm, topmodels=1:10) #' predict(mm[1:10], exact=TRUE) #' #' #' @export predict.bma <- function(object, newdata=NULL, exact=FALSE, topmodels=NULL, ...) { # does basic fitting in expected values # object: a bma object # newdata: newdata to be supplied (just eas in predict.lm) # topmodels: The index of the bestmodels to be included (e.g. 1 for best, 1:3 for three best); setting this parameter triggers exact=TRUE # exact: TRUE if fit should be based on exact likelihood of best models, FALSE if should be based on MCMC freqs # output: a vector with fitted values if (!is.bma(object)) {stop("you need to provide a BMA object"); return()} # check the topmodels argument if (!is.null(topmodels)) { if (!(is.numeric(topmodels)&&is.vector(topmodels))) { stop("topmodels must denote the models to take into account, e.g. 1:5 for the best five.") } else if (object$topmod$nbmodels < max(topmodels)) { stop(paste("Only",object$topmod$nbmodels,"best models are available, but you asked to take the", max(topmodels), "-best model into account.")) } object=object[unique(topmodels)] } if ((!missing(topmodels))&&missing(exact)) exact=TRUE #get the betas as required betas=estimates.bma(object,exact=exact,order.by.pip=FALSE,include.constant=FALSE,std.coefs=FALSE,condi.coef=FALSE)[,2] #check the newdata argument if (is.null(newdata)) { newX<-as.matrix(object$arguments$X.data[,-1, drop=FALSE]) } else { newX=as.matrix(newdata) if (!is.numeric(newX)) stop("newdata must be numeric!") if (is.vector(newdata)) newX=matrix(newdata,1) if (ncol(newX)!=length(betas)) { if (ncol(newX)==length(betas)+1) { newX=newX[,-1,drop=FALSE] # this is to achieve a bevavior similar to predict.lm in this case } else { stop("newdata must be a matrix or data.frame with", length(betas), "columns.") } } orinames=colnames(object$arguments$X.data[,-1, drop=FALSE]) if (!is.null(colnames(newX))&& !is.null(orinames)) { #this is a user check whether columns had been submitted in the wrong order if (all(orinames %in% colnames(newX) ) && !all(orinames == colnames(newX)) ) { warning("argument newdata had to be reordered according to its column names. Consider submitting the columns of newdata in the right order.") newX=newX[,orinames, drop=FALSE] } } } cons=.post.constant(object$arguments$X.data,betas) return(as.vector(newX%*%betas)+cons) } #' OLS Statistics for the Full Model Including All Potential Covariates #' #' A utility function for reference: Returns a list with R2 and sum of squares #' for the OLS model encompassing all potential covariates that are included in #' a bma object. #' #' #' @param yX.data a bma object (cf. \code{\link{bms}}) - alternatively a #' \link{data.frame} or \link{matrix} whose first column is the dependent #' variable #' @return Returns a list with some basic OLS statistics \item{R2}{The #' R-squared of the full model} \item{ymy}{The sum of squares of residuals of #' the full model} \item{ypy}{The explained sum of squares of the full model} #' \item{yty}{The sum of squares of the (demeaned) dependent variable} #' \item{Fstat}{The F-statistic of the full model} #' @note This function is just for quick comparison; for proper OLS estimation #' consider \code{\link{lm}} #' @seealso \code{\link{bms}} for creating bma objects, \code{\link{lm}} for #' OLS estimation #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' mm=bms(datafls) #' #' fullmodel.ssq(mm) #' #' #equivalent: #' fullmodel.ssq(datafls) #' #' #' @export fullmodel.ssq <- function(yX.data) { # yX.data: a dataframe # returns the OLS sums of sqares for yX.data, where the first column is the dependent: # R2: r-squared; ymy: resid SS; ypy: explained SS; yty: (y-ymean)'(y-ymean) if (is.bma(yX.data)) {yX.data <- yX.data$arguments$X.data} y<-as.matrix(yX.data[,1]) X<-as.matrix(yX.data[,2:ncol(yX.data)]) N<-nrow(X) K=ncol(X) y.mean=mean(y) y<-y-matrix(y.mean,N,1,byrow=TRUE) X.mean=colMeans(X) X<-X-matrix(X.mean,N,K,byrow=TRUE) Xqr<-qr(X) yty=as.numeric(crossprod(y)) ymy=as.numeric(crossprod(qr.resid(Xqr,y))) ypy=as.numeric(crossprod( qr.fitted(Xqr,y))) R2=ypy/yty return(list(R2=R2,ymy=ymy,ypy=ypy,yty=yty,Fstat=(R2/(1-R2))*(N-K-1)/K)) } #' @export print.bma <- function(x,...) { #defines how to print a bmao object (e.g. to the console) if (!is.bma(x)) {return(print(x))} print(estimates.bma(x),include.constant=TRUE,...) cat("\n") print(info.bma(x),...) cat("\n") } #' Summary Statistics for a 'bma' Object #' #' Returns a vector with summary statistics for a 'bma' object #' #' \code{info.bma} is equivalent to \code{summary.bma}, its argument #' \code{bmao} conforms to the argument \code{object} #' #' @aliases summary.bma info.bma #' @param object a list/object of class 'bma' that typically results from the #' function \code{bms} (see \code{\link{bms}} for details) #' @param \dots further arguments passed to or from other methods #' @param bmao same as \code{object} #' @return A character vector summarizing the results of a call to \code{bms} #' \item{Mean no. of Regressors}{ the posterior mean of model size} #' \item{Draws}{the number of iterations (ex burn-ins)} \item{Burnins}{the #' number of burn-in iterations} \item{Time}{the time spent on iterating #' through the model space} \item{No. of models visited}{the number of times a #' model was accepted (including burn-ins)} \item{Modelspace }{the total model #' space \eqn{2^K}}\item{list(list("2^K"))}{the total model space \eqn{2^K}} #' \item{Percentage visited}{\code{No. of models visited/Modelspace*100}} #' \item{Percentage Topmodels}{number of times the best models were drawn in #' percent of \code{Draws}} \item{Corr. PMP}{the correlation between the MCMC #' frequencies of the best models (the number of times they were drawn) and #' their marginal likelihoods.} \item{No. Obs.}{Number of observations} #' \item{Model Prior}{a character conforming to the argument \code{mprior} of #' \code{bms}, and the expected prior model size} \item{g-prior}{a character #' corresponding to argument \code{g} of function \code{bms}} #' \item{Shrinkage-Stats}{Posterior expected value und standard deviation (if #' applicable) of the shrinkage factor. Only included if argument #' \code{g.stats} of function \code{bms} was set to TRUE} #' @note All of the above statistics can also be directly extracted from the #' bma object (\code{bmao}). Therefore \code{summary.bma} only returns a #' character vector. #' @seealso \code{\link{bms}} and \code{\link{c.bma}} for functions creating #' bma objects, \code{print.bma} makes use of \code{summary.bma}. #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' #' m_fixed=bms(datafls,burn=1000,iter=3000,user.int=FALSE, ) #' summary(m_fixed) #' #' m_ebl=bms(datafls,burn=1000,iter=3000,user.int=FALSE, g="EBL",g.stats=TRUE) #' info.bma(m_ebl) #' #' @export summary.bma <-function(object,...) { #just an alias for info.bma info.bma(object) } #' Posterior Inclusion Probabilities and Coefficients from a 'bma' Object #' #' Returns a matrix with aggregate covariate-specific Bayesian model Averaging: #' posterior inclusion probabilites (PIP), post. expected values and standard #' deviations of coefficients, as well as sign probabilites #' #' More on the argument \code{exact}: \cr In case the argument #' \code{exact=TRUE}, the PIPs, coefficient statistics and conditional sign #' probabilities are computed on the basis of the (500) best models the #' sampling chain encountered (cf. argument \code{nmodel} in #' \code{\link{bms}}). Here, the weights for Bayesian model averaging (BMA) are #' the posterior marginal likelihoods of these best models. \cr In case #' \code{exact=FALSE}, then these statistics are based on all accepted models #' (except burn-ins): If \code{mcmc="enumerate"} then this are simply all #' models of the traversed model space, with their marginal likelihoods #' providing the weights for BMA.\cr If, however, the bma object \code{bmao} #' was based on an MCMC sampler (e.g. when \code{\link{bms}} argument #' \code{mcmc="bd"}), then BMA statistics are computed differently: In contrast #' to above, the weights for BMA are MCMC frequencies, i.e. how often the #' respective models were encountered by the MCMC sampler. (cf. a comparison of #' MCMC frequencies and marginal likelihoods for the best models via the #' function \code{\link{pmp.bma}}). #' #' @aliases estimates.bma coef.bma #' @param object,bmao a 'bma' object (cf. \code{\link{bms}}) #' @param exact if \code{exact=FALSE}, then PIPs, coefficients, etc. will be #' based on aggregate information from the sampling chain with posterior model #' distributions based on MCMC frequencies (except in case of enumeration - cf. #' 'Details');\cr if \code{exact=TRUE}, estimates will be based on the #' \code{\link[=bms]{nmodel}} best models encountered by the sampling chain, #' with the posterior model distribution based on their \emph{exact} marginal #' likelihoods - cf. 'Details' below. #' @param order.by.pip \code{order.by.pip=TRUE} orders the resulting matrix #' according to posterior inclusion probabilites, \code{order.by.pip=FALSE} #' ranks them according to the original data (order of the covariates as in #' provided in \code{X.data} to \code{\link{bms}}), default \code{TRUE} #' @param include.constant If \code{include.constant=TRUE} then the resulting #' matrix includes the expected value of the constant in its last row. Default #' \code{FALSE} #' @param incl.possign If \code{incl.possign=FALSE}, then the sign probabilites #' column (cf. 'Values' below) is omitted from the result. Default \code{TRUE} #' @param std.coefs If \code{std.coefs=TRUE} then the expected values and #' standard deviations are returned in standardized form, i.e. as if the #' original data all had mean zero and variance 1. If \code{std.coefs=FALSE} #' (default) then both expected values and standard deviations are returned 'as #' is'. #' @param condi.coef If \code{condi.coef=FALSE} (default) then coefficients #' \eqn{\beta_i} and standard deviations are unconditional posterior expected #' values, as in standard model averaging; if \code{condi.coef=FALSE} then they #' are given as conditional on inclusion (equivalent to \eqn{\beta_i / PIP_i}). #' @param ... further arguments for other \code{\link{coef}} methods #' @return A matrix with five columns (or four if \code{incl.possign=FALSE}) #' \item{Column 'PIP'}{Posterior inclusion probabilities \eqn{\sum p(\gamma|i #' \in \gamma, Y) / sum p(\gamma|Y) }} \item{Column 'Post Mean'}{posterior #' expected value of coefficients, unconditional \eqn{E(\beta|Y)=\sum #' p(\gamma|Y) E(\beta|\gamma,Y)}, where \eqn{E(\beta_i|\gamma,i \notin \gamma, #' Y)=0} if \code{condi.coef=FALSE}, or conditional on inclusion #' (\eqn{E(\beta|Y) / \sum p(\gamma|Y, i \in \gamma) } ) if #' \code{condi.coef=TRUE}} \item{Column 'Post SD'}{posterior standard deviation #' of coefficients, unconditional or conditional on inclusion, depending on #' \code{condi.coef}} \item{Column 'Cond.Pos.Sign'}{The ratio of how often the #' coefficients' expected values were positive conditional on inclusion. (over #' all visited models in case \code{exact=FALSE}, over the best models in case #' \code{exact=TRUE})} \item{Column 'Idx'}{the original order of covariates as #' the were used for sampling. (if included, the constant has index 0)} #' #' @seealso \code{\link{bms}} for creating bma objects, \code{\link{pmp.bma}} #' for comparing MCMC frequencies and marginal likelihoods. #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords models #' @examples #' #' #sample, with keeping the best 200 models: #' data(datafls) #' mm=bms(datafls,burn=1000,iter=5000,nmodel=200) #' #' #standard BMA PIPs and coefficients from the MCMC sampling chain, based on #' # ...how frequently the models were drawn #' coef(mm) #' #' #standardized coefficients, ordered by index #' coef(mm,std.coefs=TRUE,order.by.pip=FALSE) #' #' #coefficients conditional on inclusion: #' coef(mm,condi.coef=TRUE) #' #' #same as #' ests=coef(mm,condi.coef=FALSE) #' ests[,2]/ests[,1] #' #' #PIPs, coefficients, and signs based on the best 200 models #' estimates.bma(mm,exact=TRUE) #' #' #... and based on the 50 best models #' coef(mm[1:50],exact=TRUE) #' #' #' @method coef bma #' @export coef.bma <-function(object,exact = FALSE, order.by.pip = TRUE, include.constant = FALSE, incl.possign = TRUE, std.coefs = FALSE, condi.coef = FALSE, ...) { #just an alias for estimates.bma estimates.bma(object, exact=exact, order.by.pip = order.by.pip, include.constant = include.constant, incl.possign = incl.possign, std.coefs = std.coefs, condi.coef = condi.coef) } #' Tests for a 'bma' Object #' #' tests for objects of class "bma" #' #' #' @param bmao a 'bma' object: see 'value' #' @return Returns \code{TRUE} if bmao is of class 'bma', \code{FALSE} #' otherwise. #' #' @seealso 'Output' in \code{\link{bms}} for the structure of a 'bma' object #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords classes #' @examples #' #' data(datafls) #' mm=bms(datafls,burn=1000, iter=4000) #' is.bma(mm) #' @export is.bma <-function(bmao) { #returns true if the class of the object is either bma or a related class if (any(is.element(class(bmao),c("bma","bma.fcast","bma.sar","oldbma","bmav0")))) return(TRUE) else return(FALSE) } #' @export is.topmod <-function(tmo) { #returns true if the class of the object is a "topmod" list if (is.element("topmod",class(tmo))) return(TRUE) else return(FALSE) } #' Gaussian Hypergeometric Function F(a,b,c,z) #' #' Computes the value of a Gaussian hypergeometric function \eqn{ F(a,b,c,z) } #' for \eqn{-1 \leq z \leq 1} and \eqn{a,b,c \geq 0} #' #' The function \code{f21hyper} complements the analysis of the 'hyper-g prior' #' introduced by Liang et al. (2008).\cr For parameter values, compare cf. #' \url{https://en.wikipedia.org/wiki/Hypergeometric_function}. #' #' @param a The parameter \code{a} of the Gaussian hypergeometric function, #' must be a positive scalar here #' @param b The parameter \code{b} of the Gaussian hypergeometric function, #' must be a positive scalar here #' @param c The parameter \code{c} of the Gaussian hypergeometric function, #' must be a positive scalar here #' @param z The parameter \code{z} of the Gaussian hypergeometric function, #' must be between -1 and 1 here #' @return The value of the Gaussian hypergeometric function \eqn{ F(a,b,c,z) } #' @note This function is a simple wrapper function of sped-up code that is #' intended for sporadic application by the user; it is neither efficient nor #' general; for a more general version cf. the package '\code{hypergeo}' #' #' @seealso package \code{hypergeo} for a more proficient implementation. #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @references Liang F., Paulo R., Molina G., Clyde M., Berger J.(2008): #' Mixtures of g-priors for Bayesian variable selection. J. Am. Statist. Assoc. #' 103, p. 410-423 #' #' \url{https://en.wikipedia.org/wiki/Hypergeometric_function} #' @keywords utilities #' @examples #' #' #' f21hyper(30,1,20,.8) #returns about 165.8197 #' #' f21hyper(30,10,20,0) #returns one #' #' f21hyper(10,15,20,-0.1) # returns about 0.4872972 #' @export f21hyper = function(a,b,c,z) { if ((length(a)!=1)|(length(b)!=1)|(length(c)!=1)|(length(z)!=1)) stop("All function arguments need to be scalars") if ((a<0)|(b<0)|(c<0)) stop("Arguments a, b, and c need to be non-negative") if ((z>1)|(z<=(-1))) stop("Argument z needs to be between -1 and 1") nmx=max(100,3*floor(((a+b)*z-c-1)/(1-z))) if (nmx>10000) warning("Power series probably does not converge") serie=0:nmx return(1+sum(cumprod((a+serie)/(c+serie)*(b+serie)/(1+serie)*z))) } ######################################################################## # Auxilary functions on the final bma object or its components ######### ######################################################################## .post.constant <- function(X.data,Ebeta) { # calculates E(constant|Y): X.data is dataframe, Ebeta a vector Xmeans= colMeans(X.data) cons=Xmeans[1]-crossprod(Ebeta,Xmeans[-1]) return(as.vector(cons)) } .post.beta.draws <- function(topmods,reg.names,moment2=FALSE) { # constructs a nice matrix of the betas of the best models stored in topmods # topmods: topmod-object; reg.names: character vector (like colnames(X)) # moment2: TRUE: return betas2(), FALSE: return betas() if(moment2) beta.draws=as.matrix(topmods$betas2()) else beta.draws=as.matrix(topmods$betas()) if(sum(beta.draws)==0){ stop("The tompod object provided does not have saved betas. cf. bbeta argument in function topmod") } if(nrow(beta.draws)!=length(reg.names)){ rownames(beta.draws)=c(reg.names,"W-Index") } else{ rownames(beta.draws)=c(reg.names) } beta.names=topmods$bool() if(length(which(beta.names=="0"))>0){ colnames(beta.draws)=beta.names[-c(which(beta.names=="0"))] } else { colnames(beta.draws)=beta.names } return(beta.draws) } .post.topmod.includes <- function(topmods,reg.names) { # constructs nice 0-1-matrix with ionclusion vectors for the best models stored in topmods # topmods: topmodel object, reg.names: character-vector (like colnames(X)) topmod = topmods$bool_binary() colnames(topmod)<-topmods$bool() rownames(topmod)=reg.names return(topmod) } .post.topmod.bma <- function(topmods,reg.names=numeric(0)) { # constructs nice 0-1 matrix for regressors in model, with the last two rows # being the analytical and MCMC PMPs # topmods: either the topmodel object or a "bma" object pmps = pmp.bma(topmods) if (is.bma(topmods)) { reg.names=topmods$reg.names; topmods=topmods$topmod } # constructs nice matrix combining the 0-1- includes matrix with info on PMP rbind(.post.topmod.includes(topmods,reg.names),t(pmps)) } #' Model Binaries and their Posterior model Probabilities #' #' Returns a matrix whose columns show which covariates were included in the best models in a 'bma' object. The last two columns detail posterior model probabilities. #' #' @param bmao an object of class 'bma' - see \code{\link{bma-class}} #' @return Each column in the resulting matrix corresponds to one of the 'best' models in bmao: the first column for the best model, the second for the second-best model, etc. #' The model binaries have elements 1 if the regressor given by the row name was included in the respective models, and 0 otherwise. #' The second-last row shows the model's posterior model probability based on marginal likelihoods (i.e. its marginal likelihood over the sum of likelihoods of all best models) #' The last row shows the model's posterior model probability based on MCMC frequencies (i.e. how often the model was accepted vs sum of acceptance of all models) #' Note that the column names are hexcode representations of the model binaries (e.g. "03" for c(0,0,0,1,0,0)) #' #' #' @details #' Each bma class (the result of bms) contains 'top models', the x models with tthe best #' analytical likelihood that bms had encountered while sampling #' #' See \code{\link{pmp.bma}} for an explanation of likelihood vs. MCMC #' frequency concepts #' #' #' #' @seealso \code{\link{topmod}} for creating topmod objects, \code{\link{bms}} #' for their typical use, \code{\link{pmp.bma}} for comparing posterior model #' probabilities #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @examples #' #' data(datafls) #' #sample with a limited data set for demonstration #' mm=bms(datafls[,1:12],nmodel=20) #' #' #show binaries for all #' topmodels.bma(mm) #' #' #show binaries for 2nd and 3rd best model, without the model probs #' topmodels.bma(mm[2:3])[1:11,] #' #' #access model binaries directly #' mm$topmod$bool_binary() #' #' @export topmodels.bma <-function(bmao) {# function alias if (!is.bma(bmao)) {stop("you need to provide a bma object")} return(.post.topmod.bma(bmao)) } .post.estimates <- function(b1mo=NULL,b2mo=NULL,cumsumweights=NULL,inccount=NULL,topmods=NULL,X.data=NULL,reg.names=NULL,pos.sign=NULL,exact=FALSE,order.by.pip=TRUE,include.constant=FALSE,incl.possign=TRUE,std.coefs=FALSE,condi.coef=FALSE) { # b1mo: (weighted) cumsum of first moment of beta # b2mo: (weighted) cumsum of second moment of beta # cumsumweights: sum of the weights/model probs - typically just the number of draws "iter" # inccount: (weighted) number of inclusions per coefficient # reg.names: character vector like colnames(X.data) # topmods: topmodl object (best n models) # exact: if True, then calcs posterior stats based on analytical PMPs (likelihoods) in topmods object; if False, then does it as a weighted average (typically with MCMC frequencies) # order.by.pip: if true then the matrix is sorted according to the PIPs (first column) # include.constant: if true, then add the constant in the last row of resultant matrix idx=1:(length(b1mo)) if(exact){ #calculate with analytical PMPs from topmods object (best n models) lt1=topmods$lik() - max(topmods$lik()) # do this to get only positive probabilities exact.pmp=as.vector(exp(lt1)/sum(exp(lt1))) pip=as.vector(topmods$bool_binary()%*%exact.pmp) idx=1:(length(pip)) betas=topmods$betas() betas2=topmods$betas2() K=nrow(betas) Eb1=tcrossprod(betas,t(exact.pmp))[,1] #multiply betas with corr. pmp's and sum up Eb2=tcrossprod(betas2,t(exact.pmp))[,1] Ebsd=sqrt(Eb2-Eb1^2) possign=round(tcrossprod((betas>0),t(exact.pmp))[,1]/pip,8) possign[is.nan(possign)]=NA } else{ # Posterior mean and stand dev of each coefficient' # calculate by taking b1mo etc. as a weighted sum (typically MCMC draws), divided by the sum of the weights (typically number of runs - "iter") pip=inccount/cumsumweights Eb1 = b1mo/cumsumweights Eb2 = b2mo/cumsumweights Ebsd = sqrt(Eb2-Eb1^2) possign=round(pos.sign/inccount,8) possign[is.nan(possign)]=NA } if (include.constant) constterm=.post.constant(X.data,Eb1) if (condi.coef) { Eb1=Eb1/pip; Eb2=Eb2/pip; Ebsd=sqrt(Eb2-Eb1^2); Eb1[is.nan(Eb1)]=0; Ebsd[is.nan(Ebsd)]=0; } if (std.coefs) { #if standardized coefficients, then adjust them by SDs #important that this is done after all other Eb1 and Ebsd computations sddata=apply(as.matrix(X.data),2,stats::sd) Eb1=Eb1/sddata[1]*sddata[-1] Ebsd=Ebsd/sddata[1]*sddata[-1] if (include.constant) constterm=constterm/sddata[1] } if (incl.possign) { post.mean<-cbind(pip,Eb1,Ebsd,possign,idx) rownames(post.mean)<-reg.names colnames(post.mean)<-c("PIP","Post Mean", "Post SD","Cond.Pos.Sign","Idx") } else { post.mean<-cbind(pip,Eb1,Ebsd,idx) #post.mean<-cbind(pip,Eb1,Ebsd) rownames(post.mean)<-reg.names colnames(post.mean)<-c("PIP","Post Mean", "Post SD","Idx") #colnames(post.mean)<-c("PIP","Post Mean", "Post SD") } if (order.by.pip) { post.mean<-post.mean[order(-post.mean[,1]),] #order the results table according to PIP } if (include.constant) { constrow=matrix(c(1,constterm,NA,rep(NA,incl.possign),0),1) rownames(constrow)="(Intercept)" post.mean=rbind(post.mean,constrow) } return(post.mean) } ##################################################################################################### ######################################################################## # functions on retrieving a FULL sys.call(0) ########################### ######################################################################## .construct.arglist <- function(funobj,envir=NULL) { # evaluates all function arguments at envir (default: calling environment) # (they might have changed during running the function, or may be in variables) # construct.arglist gets rid of the variables and so on, and returns the argument list as a list namedlist=formals(funobj) argnames=names(namedlist) if (!is.environment(envir)) envir=sys.frame(-1) for (argn in 1:length(namedlist)) { # the following test is to cater for non.existent arguments testval=as.logical(try(exists(argnames[argn],envir=envir),silent=TRUE)); if (is.na(testval)) testval=FALSE if (testval) { namedlist[[argn]]=try(get(argnames[argn],envir=envir)) } } return(namedlist) } ##################################################################################################### ######################################################################## # functions for combining bma objects ################################## ######################################################################## .top10=function(nmaxregressors=10,nbmodels=10,bbeta=FALSE,lengthfixedvec=0,bbeta2=FALSE,..., inivec_lik=numeric(0),inivec_bool=character(0),inivec_count=numeric(0),inivec_vbeta=numeric(0), inivec_vbeta2=numeric(0),inivec_veck=0,inivec_fixvec=numeric(0)){ #object used by bms to save the best models #set up the variables to be augmented in the process #use .top10(...) to initalise this object # top-level INPUT arguments: # nmaxregressors: maximum number of regreswsors possible in the models (ncol(X.data)-1) for bms() # nmodels: integer >=0, maximum number of models to store # bbeta: logical whether additionally, the models` beta coefficents should be stored as well # lengthfixedvec: integer >=0; a vector of fixed length =lengthfixedvec will be stored for each model (e.g. posterior moments of g, etc.); # if lengthfixedvec=0, nothing will be stored # inivec_...: for the advanced user: vectors to initialize the top10 object in case one wants to 'add' several models right at the beginning: # inivec_lik: vector of likelihoods (length: nb of models) corresponds to: lik() # inivec_bool: vector of model binaries in hexcode (length: nb of models); althernatively, a numeric vector of 1s and 0s (length: nmaxregressors) # correspoinds to: bool() # inivec_count: vector of ncounts (length: nb of models), corresponds to: ncount() # inivec_vbeta: vector of betas (stripped of zeroes), corresponds to betas_raw() # inivec_veck: vector of ks (length: nb of models), i.e. the number of coefs per model, corresponds to: kvec_raw() # inivec_fixedvec: vector of fixed vectors (length: nb of models times lengthfixedvec) # OUTPUT: list with follwoing elements # addmodel(mylik,vec01,vbeta=numeric(0),fixedvec=numeric(0)): Function that adds a model to be stored in the object. # if the model is already there, only the model counter will be incremented: Reffeerence: see below # lik(), bool(), ncount(), nbmodels, nregs, betas_raw(), kvec_raw(), bool_binary(), betas(), fixed_vector(): # these are final output functions, for a reference, refer to these directly findex=function() { seq_incl=seq_len(nbmodel) if (nbmodel==nbmodels) { seq_incl[indices]=seq_incl } else { truncindex=indices; truncindex[(nbmodel+1):nbmodels]=0L seq_incl[truncindex]=seq_incl } return(seq_incl) } betamat = function(top10_betavec) { # return a matrix: rows: betas per model (including zeros); columns: model bins=(sapply(as.list(top10_bool[findex()]),hexobject$as.binvec)) betamatx=matrix(0,nmaxregressors,nbmodel) if (length(top10_betavec)>0) {betamatx[which(bins==1)]=top10_betavec} else betamatx=betamatx[,1] return(betamatx) } # sortall = function() { # if (!is_sorted) { # if (nbmodel0) { top10_fixvec <<- as.vector(matrix(lastm_fixvec,lengthfixedvec)[,order_index]) } # last_visited <<- c(lastnewmodel:1,length(lastm_lik):(lastnewmodel+1))[orderindex] # is_sorted <<- TRUE # } # } hexobject<-.hexcode.binvec.convert(nmaxregressors) #initialize object for hexcode to logical vector conversion if (nbmodels<0) {nbmodels=0} #declare needed objects in full length now to optimize memory allocation later indices=integer(nbmodels); top10_lik=rep(-Inf,nbmodels) top10_bool=character(nbmodels); top10_count=integer(nbmodels) top10_fixvec=numeric(lengthfixedvec*nbmodels) if (bbeta) lbetas=vector("list",nbmodels) if (bbeta2) lbetas2=vector("list",nbmodels) seq_nbmodel=seq_len(nbmodels); ix_of_mybool=logical(nbmodels) #is_sorted = FALSE # read in initial data nbmodel = length(inivec_lik) top10_lik[seq_len(nbmodel)]=inivec_lik; top10_count[seq_len(nbmodel)]=inivec_count; #read in initial binaries: character, or a list of vectors, a single vectors or a matrix, whose columns are the binaries if (is.character(inivec_bool)) {top10_bool[seq_len(nbmodel)]=inivec_bool} else { if (is.vector(inivec_bool)&(length(inivec_bool)==nmaxregressors)) { top10_bool[seq_len(nbmodel)]=hexobject$as.hexcode(inivec_bool) } else if (is.list(inivec_bool)) { top10_bool[seq_len(nbmodel)]=sapply(inivec_bool, hexobject$as.hexcode) } else if (is.matrix(inivec_bool)) { top10_bool[seq_len(nbmodel)]=sapply(as.list(as.data.frame(inivec_bool)), hexobject$as.hexcode) } else stop("inivec_bool is wrong format!") } top10_fixvec=inivec_fixvec; if (is.na(inivec_veck[1])) {inivec_veck=0} #read in initial beta information if (bbeta|bbeta2) { veck_ix=c(0,cumsum(inivec_veck)) veckix_aux=as.list(seq_len(nbmodel)); veckix_aux=lapply(veckix_aux,function(x) { if (veck_ix[[x]]==veck_ix[[x+1]]) c(0,0) else c(veck_ix[[x]]+1,veck_ix[[x+1]]) } ) } if (bbeta) { lbetas[seq_len(nbmodel)]=lapply(veckix_aux,function(x) inivec_vbeta[x[[1]]:x[[2]]]) } else lbetas=list(numeric(0)) if (bbeta2) { lbetas2[seq_len(nbmodel)]=lapply(veckix_aux,function(x) inivec_vbeta2[x[[1]]:x[[2]]]) } else lbetas2=list(numeric(0)) lastvec01=integer(nmaxregressors); modidx=length(top10_lik); indices[seq_len(nbmodel)]=order(inivec_lik,decreasing=TRUE) min.index = which.max(indices) if (length(min.index)>0) { min.top10_lik=top10_lik[[min.index]] } else { if (nbmodels>0) min.top10_lik=-Inf else min.top10_lik=Inf } index.of.mybool = function(mybool) { ix_of_mybool <<- (mybool==top10_bool) } check4dupl = index.of.mybool; dupl.possible=TRUE; retlist=list( addmodel=function(mylik,vec01,vbeta=numeric(0),vbeta2=numeric(0),fixedvec=numeric(0)) { #mylik: scalar likelihood, vec01: numeric vector of 0s and 1s, vbeta: small vector of betas (if bbeta was set to TRUE) that does NOT contain restricted zeros, vbeta2: small vector of betas^2 (is assumed to have same length as bvbeta) #use this function to add a model: #if its already among the best "nbmodels" models, its counter will be incremented by one #if it is not already in the best "nbmodels" models though its likelihood justifies that, the model will be added to the list if (mylik>=min.top10_lik|nbmodel add model to list if (nbmodel0) { top10_fixvec[(modidx-1)*lengthfixedvec+seq_len(lengthfixedvec)] <<- fixedvec } if (bbeta) { lbetas[[modidx]] <<- vbeta } if (bbeta2) { lbetas2[[modidx]] <<- vbeta2 } } else { #the model is already contained in the bestof list -> just adjust counter modidx <<- seq_nbmodel[ix_of_mybool] top10_count[[modidx]]<<-top10_count[[modidx]]+1 } } } }, lik = function(){return(top10_lik[findex()])}, #return a vector of the best "nbmodels" likelihoods bool = function(){return(top10_bool[findex()])}, #return a vector of the best "nbmodels" codes as hexadecimal (e.g. model c(0,1,0,0) as "4") ncount = function(){return(top10_count[findex()])}, #return a vector of how each of the best models was chosen #counters = function(){return(c(tcalls,inlik,added,maintained))}, # for programming checks nbmodels = nbmodels, # return the maximum number of best mdoels saved in this object nregs = nmaxregressors, # return K, the maximum number of regressors overall betas_raw = function(){return(unlist(lbetas[findex()]))}, # return the vector of beta coefs. of the best models in one line without the zeros betas2_raw = function(){return(unlist(lbetas2[findex()]))}, # return the vector of beta^2 coefs. of the best models in one line without the zeros kvec_raw = function(){return(sapply(lbetas,length)[findex()])}, #return a vector that details how many coefs. each of the best models has bool_binary = function(){return(sapply(as.list(top10_bool[findex()]),hexobject$as.binvec))}, #return a matrix: each column: one of the best models; rows: logical of coeficcient inclusion betas = function() { betamat(unlist(lbetas[findex()])) }, betas2 = function() { betamat(unlist(lbetas2[findex()])) }, fixed_vector = function(){ if (lengthfixedvec<=0) {return(matrix(0,0,0))} else { findex_base=(findex()-1)*lengthfixedvec findex_fixvec=numeric(0) for (xx in 1:lengthfixedvec) findex_fixvec=rbind(findex_fixvec,findex_base+xx) return(matrix(top10_fixvec[c(findex_fixvec)],lengthfixedvec)) } }, # return the fixed vector that may contain additional statistics duplicates_possible = function(possible=NULL) { if (!is.logical(possible)) return(dupl.possible) if (possible) { check4dupl <<- index.of.mybool; dupl.possible <<- TRUE; ix_of_mybool <<- logical(nbmodels) } else { check4dupl <<- function(mybool){}; dupl.possible <<- FALSE; ix_of_mybool <<- FALSE } } ) class(retlist)="topmod" return(retlist) } ############################################################ #auxiliary functions for topmod object #' @export "[.topmod" <- function(tm,idx) { # this function (applied as topmod[idx] ) provides a topmodel object with only the models indicated by idx # e.g. topmod[1] contains only the best model, topmod[-(90:100)] eliminates the models ranked 90 to 100 if (any(is.na(suppressWarnings(as.integer(idx))))) idx=1:length(tm$lik()) if (length(tm$betas_raw())>1) { bbeta=TRUE bet=as.vector(tm$betas()[,idx]) bet=bet[bet!=0] } else { bbeta=FALSE bet=numeric(0) } if (length(tm$betas2_raw())>1) { bbeta2=TRUE bet2=as.vector(tm$betas2()[,idx]) bet2=bet2[bet2!=0] } else { bbeta2=FALSE bet2=numeric(0) } fixvec=tm$fixed_vector() if (!length(as.vector(fixvec))) fixvec=numeric(0) else fixvec=as.vector(t(fixvec[,idx])) .top10(nmaxregressors=tm$nregs,nbmodels=tm$nbmodels,bbeta=bbeta,lengthfixedvec=nrow(tm$fixed_vector()),bbeta2=bbeta2, inivec_lik=tm$lik()[idx],inivec_bool=tm$bool()[idx],inivec_count=tm$ncount()[idx],inivec_vbeta=bet, inivec_vbeta2=bet2,inivec_veck=tm$kvec_raw()[idx],inivec_fixvec=fixvec) } #' @export "[.bma" <- function(bmao,idx) { # bma[idx] should have the same effect as applying the index to the topmod, for convenience bmao$topmod <- bmao$topmod[idx] return(bmao) } #' Printing topmod Objects #' #' Print method for objects of class 'topmod', typically the best models stored #' in a 'bma' object #' #' See \code{\link{pmp.bma}} for an explanation of likelihood vs. MCMC #' frequency concepts #' #' @param x an object of class 'topmod' - see \code{\link{topmod}} #' @param \dots additional arguments passed to \code{link{print}} #' @return if \code{x} contains more than one model, then the function returns #' a 2-column matrix: \item{Row Names}{show the model binaries in hexcode #' } \item{Column 'Marg.Log.Lik'}{shows the #' marginal log-likelihoods of the models in \code{x}} \item{Column 'MCMC #' Freq'}{shows the MCMC frequencies of the models in \code{x}} #' #' if \code{x} contains only one model, then more detailed information is shown #' for this model: \item{first line}{'Model Index' provides the model binary in #' hexcode, 'Marg.Log.Lik' its marginal log likelhood, 'Sampled Freq.' how #' often it was accepted (function \code{ncount()} in \code{\link{topmod}})} #' \item{Estimates}{first column: covariate indices included in the model, #' second column: posterior expected value of the coefficients, third column: #' their posterior standard deviations (excluded if no coefficients were stored #' in the topmod object - cf. argument \code{bbeta} in \code{\link{topmod}}) } #' \item{Included Covariates}{the model binary} \item{Additional #' Statistics}{any custom additional statistics saved with the model} #' #' @seealso \code{\link{topmod}} for creating topmod objects, \code{\link{bms}} #' for their typical use, \code{\link{pmp.bma}} for comparing posterior model #' probabilities #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords print #' @examples #' #' # do some small-scale BMA for demonstration #' data(datafls) #' mm=bms(datafls[,1:10],nmodel=20) #' #' #print info on the best 20 models #' print(mm$topmod) #' print(mm$topmod,digits=10) #' #' #equivalent: #' cbind(mm$topmod$lik(),mm$topmod$ncount()) #' #' #' #' #now print info only for the second-best model: #' print(mm$topmod[2]) #' #' #compare 'Included Covariates' to: #' topmodels.bma(mm[2]) #' #' #and to #' as.vector(mm$topmod[2]$bool_binary()) #' #' #' @export print.topmod <- function(x,...) { #this function prints the matrix of logliks and MCMC frequencies #if topmod contains only one model, more detiled infomration is given # try e.g. topmod, or topmod[1:3] or topmod[1] tm=x if (length(tm$lik())==1) { infomat=c(tm$bool(), tm$lik(),tm$ncount()) names(infomat)=c("Model Index","Marg.Log.Lik.","Sampled Freq.") print(infomat) betamat=cbind(as.vector(tm$betas_raw()),sqrt(as.vector(tm$betas2_raw())-as.vector(tm$betas_raw())^2)) if (nrow(betamat)!=0) { if (ncol(betamat)==1) {colnames(betamat)="Coef."} else {colnames(betamat)=c("Coef.","Std.Dev.")} rownames(betamat)=which(as.logical(as.vector(tm$bool_binary()))) cat("\nEstimates:\n") print(betamat) } bin=as.vector(tm$bool_binary()) names(bin)=1:length(bin) cat("\nIncluded Covariates:\n") print(bin) cat("\nAdditional Statistics:\n") print(as.vector(tm$fixed_vector())) } else { mout=cbind(tm$lik(),tm$ncount()) colnames(mout)=c("Marg.Log.Lik", "MCMC Freq") rownames(mout)=tm$bool() print(mout,...) } } #' Topmodel Object #' #' Create or use an updateable list keeping the best x models it encounters #' (for advanced users) #' #' A 'topmod' object (as created by \code{topmod}) holds three basic vectors: #' \code{lik} (for the (log) likelihood of models or similar), \code{bool()} #' for a hexcode presentation of the model binaries (cf. \code{\link{bin2hex}}) #' and ncount() for the times the models have been drawn.\cr All these vectors #' are sorted descendantly by \code{lik}, and are of the same length. The #' maximum length is limited by the argument \code{nbmodels}. #' #' If \code{tmo} is a topmod object, then a call to \code{tmo$addmodel} (e.g. #' \code{tmo$addmodel(mylik=4,vec01=c(T,F,F,T))} updates the object \code{tmo} #' by a model represented by \code{vec01} (here the one including the first and #' fourth regressor) and the marginal (log) likelihood \code{lik} (here: 4). #' #' If this model is already part of \code{tmo}, then its respective #' \code{ncount} entry is incremented by one; else it is inserted into a #' position according to the ranking of \code{lik}. #' #' In addition, there is the possibility to save (the first moments of) #' coefficients of a model (\code{betas}) and their second moments #' (\code{betas2}), as well as an arbitrary vector of statistics per model #' (\code{fixed_vector}). #' #' \code{is.topmod} returns \code{TRUE} if the argument is of class 'topmod' #' #' @aliases topmod is.topmod #' @param nbmodels The maximum number of models to be retained by the topmod #' object #' @param nmaxregressors The maximum number of covariates the models in the #' topmod object are allowed to have #' @param bbeta if \code{bbeta=TRUE}, then first and second moments of model #' coefficients are stored in addition to basic model statistics (Note: if #' \code{bbeta<0} then only the first moments are saved) #' @param lengthfixedvec The length of an optional fixed vector adhering to #' each model (for instance R-squared, etc). If \code{lengthfixedvec=0} then no #' additonal fixed vector will be stored. #' @param liks optional vector of log-likelihoods to initialize topmod object #' with (length must be \code{<=nbmodels}) - see example below #' @param ncounts optional vector of MCMC frequencies to initialize topmod #' object with (same length as \code{liks}) - see example below #' @param modelbinaries optional matrix whose columns detail model binaries to #' initialize topmod object with (same nb columns as \code{liks}, nb rows as #' \code{nmaxregressors}) - see example below #' @param betas optional matrix whose columns are coefficients to initialize #' topmod object with (same dimensions as \code{modelbinaries}) - see example #' below #' @param betas2 optional matrix whose columns are coefficients' second moments #' to initialize topmod object with (same dimensions as \code{modelbinaries}) - #' see example below #' @param fixed_vector optional matrix whose columns are a fixed vector #' initialize topmod object with (same \code{ncol} as \code{modelbinaries}) - #' see example below #' @return a call to \code{topmod} returns a list of class "topmod" with the #' following elements: #' \item{addmodel(mylik,vec01,vbeta=numeric(0),vbeta2=numeric(0),fixedvec=numeric(0))}{function #' that adjusts the list of models in the 'topmod' object (see Details). #' \code{mylik} is the basic selection criterion (usually log likelihood), #' \code{vec01} is the model binary (logical or numeric) indicating which #' regressors are included.\cr \code{vbeta} is a vector of length equal to #' \code{sum(vec01)}, contianing only the non-zero coefficients (only accounted #' for if \code{bbeta!=FALSE}). \code{vbeta2} is a similar vector of second #' moments etc. (only accounted for if \code{bbeta=TRUE}); \code{fixedvec} is #' an arbitrary vector of length \code{lengthfixedvec} (see above)} #' \item{lik()}{A numeric vector of the best models (log) likelihoods, in #' decreasing order} \item{bool()}{A character vector of hexmode expressions #' for the model binaries (cf. \code{\link{bin2hex}}), sorted by \code{lik()} } #' \item{ncount()}{A numeric vector of MCMC frequencies for the best models #' (i.e. how often the respective model was introduced by \code{addmodel})} #' \item{nbmodels}{Returns the argument \code{nbmodel}} \item{nregs}{Returns #' the argument \code{nmaxregressors}} \item{bool_binary()}{Returns a matrix #' whose columns present the models conforming to \code{lik()} in binary form} #' \item{betas()}{a matrix whose columns are the coefficients conforming to #' \code{bool_binary()} (Note that these include zero coefficients due to #' non-inclusion of covariates); Note: if \code{bbeta=FALSE} this returns an #' empty matrix} \item{betas2()}{similar to \code{betas} , for the second #' moments of coefficients Note: if \code{bbeta<=0}, this returns an empty #' matrix} \item{fixed_vector()}{The columns of this matrix return the #' \code{fixed_vector} statistics conforming to \code{lik()} (see Details); #' Note: if \code{lengthfixedvec=0} this returns an empty matrix} #' @note \code{topmod} is rather intended as a building block for programming; #' it has no direct application for a user of the BMS package. #' #' @seealso the object resulting from \code{\link{bms}} includes an element of #' class 'topmod' #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords models #' @examples #' #' #standard use #' tm= topmod(2,4,TRUE,0) #should keep a maximum two models #' tm$addmodel(-2.3,c(1,1,1,1),1:4,5:8) #update with some model #' tm$addmodel(-2.2,c(0,1,1,1),1:3,5:7) #add another model #' tm$addmodel(-2.2,c(0,1,1,1),1:3,5:7) #add it again -> adjust ncount #' tm$addmodel(-2.5,c(1,0,0,1),1:2,5:6) #add another model #' #' #read out #' tm$lik() #' tm$ncount() #' tm$bool_binary() #' tm$betas() #' #' is.topmod(tm) #' #' #extract a topmod oobject only containing the second best model #' tm2=tm[2] #' #' #' #' #advanced: should return the same result as #' #initialize #' tm2= topmod(2,4,TRUE,0, liks = c(-2.2,-2.3), ncounts = c(2,1), #' modelbinaries = cbind(c(0,1,1,1),c(1,1,1,1)), betas = cbind(0:3,1:4), #' betas2 = cbind(c(0,5:7),5:8)) #' #' #update #' tm$addmodel(-2.5,c(1,0,0,1),1:2,5:6) #add another model #' #' #read out #' tm$lik() #' tm$ncount() #' tm$bool_binary() #' tm$betas() #' #' @export topmod <- function(nbmodels,nmaxregressors=NA,bbeta=FALSE,lengthfixedvec=0,liks=numeric(0), ncounts=numeric(0),modelbinaries=matrix(0,0,0),betas=matrix(0,0,0), betas2=matrix(0,0,0),fixed_vector=matrix(0,0,0)) { #user-friendly function to create a 'topmod' object #nbmodels: integer, maxmium number of models to be retained #nmaxregressors: integer, maximum possible number of covariates (optional if arguments modelbinaries or betas are provided) #bbeta: If TRUE, model coefficients (first & second moments) are to saved by the resulting object; If FALSE not; (If bbeta<0 then only the first mometns are to be saved) #lengthfixedvec: If lengthfixedvec>0 then the resulting topmod object saves a numeric of length 'lengthfixedvec' for each added model; if lengthfixedvec=0, it does not; can be omitted if fixed_vector is supplied # #optional arguments to initialize the topmod object directly #liks: a vector of (log) likelihoods (does not need to be sorted) #ncounts: an (optional) vector of MCMC frrequencies for each model (if provided, needs to have the same length as liks) #modelbinaries: a logical or numeric matrix denoting the models to initialize the topmod object with; With nrow(modelbinaries) equal to nmaxregressors and ncol(modelbinaries) equal to length(liks) (can be omitted if argument betas is provided) #betas: a numeric matrix with the (expecteed values of) coefficents of the models; With nrow(betas) equal to nmaxregressors and ncol(betas) equal to length(liks); Note that providing betas automatically sets bbeta=-1 #betas2: a numeric matrix with the second moments coefficents of the models; With nrow(betas2) equal to nmaxregressors and ncol(betas2) equal to length(liks); Note that providing betas automatically sets bbeta=-1 #fixed_vector: an optional fixed vector to be saved with each model if (!is.numeric(nbmodels)) stop("argument 'nbmodels' needs to be an integer>0") nbmodels=floor(nbmodels[[1]]) if (nbmodels[[1]]<0) stop("argument 'nbmodels' needs to be an integer>0") if (bbeta>0) bbeta2=TRUE else bbeta2=FALSE bbeta=as.logical(bbeta) if (!bbeta&(length(betas)>0)) bbeta=TRUE if (!bbeta2&(length(betas2)>0)) bbeta2=TRUE if (is.na(lengthfixedvec[1])) lengthfixedvec=0 if ((lengthfixedvec==0)&length(fixed_vector)>0) {lengthfixedvec=nrow(fixed_vector)} if (length(liks)>nbmodels) stop("liks longer than nbmodels allows") if (length(ncounts)>nbmodels) stop("ncounts longer than nbmodels allows") if ((length(modelbinaries)==0)&(length(betas)>0)) {modelbinaries=as.logical(betas);dim(modelbinaries)=dim(betas) } if (ncol(modelbinaries)>nbmodels) stop("modelbinaries has more columns than than nbmodels allows") bindim=dim(modelbinaries); modelbinaries=as.logical(modelbinaries); dim(modelbinaries)=bindim; if ((is.na(nmaxregressors[1]))&(length(modelbinaries)>0)) {nmaxregressors=nrow(modelbinaries) } if (is.na(nmaxregressors)) stop("argument 'nmaxregressors' is missing") nmaxregressors=floor(nmaxregressors[[1]]) if (nmaxregressors<=0) stop("argument 'nmaxregressors' needs to be a positive integer") if ((length(ncounts)==0)&(length(liks)>0)) {ncounts=rep(1,length(liks)) } #check conformance with K if (length(modelbinaries)>0) if (nmaxregressors!=nrow(modelbinaries)) stop("nrow() of modelbinaries does not match nmaxregressors") if (bbeta&(length(betas)>0)) if (nmaxregressors!=nrow(betas)) stop("nrow() of betas does not match nmaxregressors") if (bbeta2&(length(betas2)>0)) if (nmaxregressors!=nrow(betas2)) stop("nrow() of betas2 does not match nmaxregressors") #check that all have the same model length N=length(liks) if (length(ncounts)!=length(liks)) stop("lengths of arguments 'liks' and 'ncounts' do not conform") if (ncol(modelbinaries)!=length(liks)) stop("nrow of argument 'modelbinaries' does not conform to length of argument 'liks'") if (bbeta) if (ncol(betas)!=length(liks)) stop("nrow of argument 'betas' does not conform to length of argument 'liks'") if (bbeta2) if (ncol(betas2)!=length(liks)) stop("nrow of argument 'betas2' does not conform to length of argument 'liks'") if (lengthfixedvec) if (ncol(fixed_vector)!=length(liks)) stop("nrow of argument 'fixed_vector' does not conform to length of argument 'liks'") morder=order(liks,decreasing=TRUE) liks=liks[morder] modelbinaries=modelbinaries[,morder,drop=FALSE] ncounts=ncounts[morder] if (bbeta) { betas=betas[,morder,drop=FALSE] } if (bbeta2) { betas2=betas2[,morder,drop=FALSE] } if (lengthfixedvec) { fixed_vector=fixed_vector[,morder,drop=FALSE] } hexobj=.hexcode.binvec.convert(nmaxregressors) bools=as.vector(sapply(as.list(as.data.frame(modelbinaries)),hexobj$as.hexcode)) if (length(bools)==0) {bools=character(0)} veck=numeric(0); betas_raw=numeric(0); betas2_raw=numeric(0); if (bbeta&(length(bbeta)>0)) { veck=colSums(modelbinaries) betas_raw=as.vector(betas)[as.vector(modelbinaries)] } if (bbeta2&(length(bbeta2)>0)) { veck=colSums(modelbinaries) betas2_raw=as.vector(betas2)[as.vector(modelbinaries)] } fixedvec=as.vector(fixed_vector) .top10(nmaxregressors=nmaxregressors,nbmodels=nbmodels,bbeta=bbeta,lengthfixedvec=lengthfixedvec,bbeta2=bbeta2, inivec_lik=liks,inivec_bool=bools,inivec_count=ncounts,inivec_vbeta=betas_raw, inivec_vbeta2=betas2_raw,inivec_veck=veck,inivec_fixvec=fixedvec) } .cor.topmod <- function(tmo) { if (is.bma(tmo)) tmo=tmo$topmod pmp.10=pmp.bma(tmo,oldstyle=TRUE) if (nrow(pmp.10)==1|suppressWarnings(length(grep("error",class(try(cor(pmp.10[,1],pmp.10[,2]),silent=TRUE)))))) { corr.pmp=NA } else { if (var(pmp.10[,2])==0) corr.pmp=NA else corr.pmp=cor(pmp.10[,1],pmp.10[,2]) } return(corr.pmp) } .topmod.as.bbetaT <- function (tm,gprior.info=NULL,yXdata=NULL, addr2=FALSE) { #this is a small function to convert a topmod object with bbeta=FALSE into on ewith bbeta=TRUE #CAUTION: this is not a generic function, but tailored to very specific topmod objects in conjunction with bms() # tm: a topmod object as the one resulting from a call to bms() # gprior.info: an object as the one resulting from a call to bms(); # optionally you can easily create one with the function .choose.gprior() # yXdata: the original data, just like the object X.data resulting from a call to bms() # if addr2=TREU, then the fixed_vector is appended to a first row containing the R-squareds # returns amn adjusted topmod object # # Optionally, tm can be a bma object, then this function returns an adjusted bma object is.bmao=FALSE if (is.bma(tm)) { #in case tm is a bma object... is.bmao=TRUE bmao=tm; yXdata=bmao$arguments$X.data; gprior.info=bmao$gprior.info; tm =bmao$topmod } #retrieve necessary info yXdata=as.matrix(yXdata); N=nrow(yXdata); K=ncol(yXdata)-1 yXdata=yXdata-matrix(colMeans(yXdata),N,K+1,byrow=TRUE) if (length(tm$lik())<1) { if (is.bmao) return(bmao) else return(tm)} if (!addr2) if ((length(tm$betas_raw())>0)&(ncol(as.matrix(tm$betas()))==length(tm$lik()))) { if (is.bmao) return(bmao) else return(tm)} bools=(tm$bool_binary()) yty=c(crossprod(yXdata[,1])) positions=lapply(lapply(as.list(as.data.frame(bools)),as.logical),which) #calculate all the OLS results for all the models olsmodels=lapply(lapply(positions,.ols.terms2,yty=yty,N=N,K=K,XtX.big=crossprod(yXdata[,-1]),Xty.big=c(crossprod(yXdata[,-1],yXdata[,1]))),function (x) x$full.results()) #initialize the right gprior-function # if (gprior.info$is.constant) { # lprobo=.lprob.constg.init(g=gprior.info$g,N=N,K=K,yty=yty) # } else if (gprior.info$gtype=="EBL") { # lprobo=.lprob.eblocal.init(g=gprior.info$g,N=N,K=K,yty=yty) # } else if (gprior.info$gtype=="hyper") { # lprobo=.lprob.hyperg.init(g=gprior.info$g,N=N,K=K,yty=yty,f21a=gprior.info$hyper.parameter) # } else { # stop("gprior not recognizeable") # } lprobo=gprior.info$lprobcalc #calculate the posterior statistics lpl=lapply(olsmodels,function(x) lprobo$lprob(x$ymy,length(x$bhat),x$bhat,x$diag.inverse)) # caution: lprobs are not the same due to missing prior model probs veck=as.vector(unlist(lapply(lapply(lpl,"[[","b1new"),length))) b1raw=as.vector(unlist(lapply(lpl,"[[","b1new"))) b2raw=as.vector(unlist(lapply(lpl,"[[","b2new"))) fixedvecmat=tm$fixed_vector() if (addr2) { # add R-squared as the first elements among the fixed vectors r2=1-sapply(olsmodels,function(x) x$ymy)/yty if (nrow(fixedvecmat)==0) { fixedvecmat=matrix(0,0,length(veck)) } else if ( mean(abs(r2-fixedvecmat[1,]))< 1e-17 ) { fixedvecmat=fixedvecmat[-1,,drop=FALSE] } fixedvecmat = rbind(r2,fixedvecmat) } lengthfixedvec=nrow(fixedvecmat) #now create new topmod with bbeta=TRUE tm<-.top10(nmaxregressors=tm$nregs,nbmodels=tm$nbmodels,bbeta=TRUE,lengthfixedvec=lengthfixedvec,bbeta2=TRUE, inivec_lik=tm$lik(),inivec_bool=tm$bool(),inivec_count=tm$ncount(),inivec_vbeta=b1raw, inivec_vbeta2=b2raw,inivec_veck=veck,inivec_fixvec=c(fixedvecmat)) if (is.bmao) { bmao$topmod <- tm # bmao$arguments$beta.save=TRUE return(bmao) } return(tm) } combine_chains <- function(...) { #to combine outputs of the the function bms #EXAMPLE: #bma1<-bms(X.data=t5.within[,1:20],burn=100,iter=1000,g=TRUE,nmodel=10,logfile=TRUE,beta.save=FALSE,start.value=41,step=1000) #bma2<-bms(X.data=X.data,burn=1000,iter=10000,g=TRUE,nmodel=10,logfile=TRUE,beta.save=FALSE,start.value=41,step=1000) #out=combine_chains(bma1,bma2) ### or: combine_chains(bma1,bma2,bma3,bma4)... # output is a standard bma object combine_topmods <- function(topmodobj1,topmodobj2) { #to combine top10 models objects of function bms() #e.g. ppp=combine_topmods(test1$topmod,test2$topmod) # output: a topmodel object #retrieve the necessary properties nregs1=topmodobj1$nregs nregs2=topmodobj2$nregs if (nregs1!=nregs2) {stop("The number of regressors in both BMA chains has to be the same!")} k1=length(topmodobj1$ncount()) k2=length(topmodobj2$ncount()) #read out the importnant stuff nbmodels1=topmodobj1$nbmodels nbmodels2=topmodobj2$nbmodels ncount1=topmodobj1$ncount() ncount2=topmodobj2$ncount() lik1=topmodobj1$lik() lik2=topmodobj2$lik() bool1=topmodobj1$bool() bool2=topmodobj2$bool() betas1=topmodobj1$betas() betas2=topmodobj2$betas() betas2_1=topmodobj1$betas2() betas2_2=topmodobj2$betas2() fv1=topmodobj1$fixed_vector() fv2=topmodobj2$fixed_vector() if (all(betas1==0)|all(betas2==0)) {dobetas=FALSE} else {dobetas=TRUE} if (all(betas2_1==0)|all(betas2_2==0)) {dobetas2=FALSE} else {dobetas2=TRUE} #first look which models of 1 are already in 2 and #for these just update the ncounts (note: this is quite easy, since this subset in 1 has the same order as in 2) idxin2_boolof1in2=match(bool1,bool2) idxin1_boolof1in2=which(!is.na(idxin2_boolof1in2)) idxin2_boolof1in2=idxin2_boolof1in2[!is.na(idxin2_boolof1in2)] ncount2[idxin2_boolof1in2]=ncount2[idxin2_boolof1in2]+ncount1[idxin1_boolof1in2] if (any(idxin1_boolof1in2)) { # in case there are models in 1 that also show up in 2 #strip 1 of all the models that were already in 2 ncount1=ncount1[-idxin1_boolof1in2] lik1=lik1[-idxin1_boolof1in2] bool1=bool1[-idxin1_boolof1in2] } #now do A u (B\(AnB)) lika=c(lik2,lik1) orderlika=order(lika,decreasing=TRUE) lika=lika[orderlika] ncounta=c(ncount2,ncount1)[orderlika] boola=c(bool2,bool1)[orderlika] if (dobetas) { # if there are betas, do the same for betas if (any(idxin1_boolof1in2)) betas1=betas1[,-idxin1_boolof1in2] betasa=cbind(betas2,betas1)[,orderlika] betasa_not0=betasa!=0 vecka=colSums(betasa_not0) vbetaa=as.vector(betasa[as.vector(betasa_not0)]) } else { vecka=0;vbetaa=numeric(0) } if (dobetas2) { # if there are betas^2, do the same for betas^2 if (any(idxin1_boolof1in2)) betas2_1=betas2_1[,-idxin1_boolof1in2] betasa2=cbind(betas2_2,betas2_1)[,orderlika] vbetaa2=as.vector(betasa2[as.vector(betasa_not0)]); } else { vbetaa2=numeric(0) } fva=numeric(0); lfv=0; if ( (nrow(fv1)==nrow(fv2)) & ((nrow(fv1)>0) & (nrow(fv2)>0)) ) { # if there is a fixed vector then combine it the same way if (any(idxin1_boolof1in2)) fv1=fv1[,-idxin1_boolof1in2] if (!is.matrix(fv1)) fv1=t(fv1) fva=as.vector(cbind(fv2,fv1)[,orderlika]) lfv=nrow(fv1) } return(.top10(nmaxregressors=nregs1,nbmodels=length(lika),bbeta=dobetas,lengthfixedvec=lfv,bbeta2=dobetas2,inivec_lik=lika,inivec_bool=boola,inivec_count=ncounta,inivec_vbeta=vbetaa,inivec_vbeta2=vbetaa2,inivec_veck=vecka,inivec_fixvec=fva)) } combine_2chains <- function(flso1,flso2) { # if (!exists("sPath")) sPath="" # source(paste(sPath,"aux_inner.r",sep=""),local=TRUE) # if (flso1$arguments$beta.save & flso2$arguments$beta.save) { # beta.save = TRUE # } else { # beta.save = FALSE # } # combine the topmodel opbjects topmod.combi=combine_topmods(flso1$topmod,flso2$topmod) #prepare the gprior.info obejct for post.calc gpi <- flso1$gprior.info gpi$shrinkage.moments=numeric(length(gpi$shrinkage.moments)) # use post.calc to compute info, gprior.info, and reg.names io1=flso1$info; io2 = flso2$info obj.combi=.post.calc(gprior.info=gpi,add.otherstats=io1$add.otherstats + io2$add.otherstats,k.vec=(io1$k.vec[-1]+io2$k.vec[-1]),null.count=(io1$k.vec[1]+io2$k.vec[1]), flso1$arguments$X.data,topmods=topmod.combi,b1mo=io1$b1mo + io2$b1mo,b2mo=io1$b2mo + io2$b2mo,iter=io1$iter + io2$iter,burn=io1$burn + io2$burn, inccount=io1$inccount + io2$inccount,models.visited=io1$models.visited + io2$models.visited,K=io1$K,N=io1$N,msize=io1$msize + io2$msize, timed=io1$timed + io2$timed,cumsumweights=io1$cumsumweights + io2$cumsumweights,mcmc=flso1$arguments$mcmc,possign=io1$pos.sign+io2$pos.sign) # concatenate start.positions by cbinding them stpos1=as.matrix(flso1$start.pos);stpos2=as.matrix(flso2$start.pos) startpos.combi =cbind(rbind(stpos1,matrix(0,max(0,nrow(stpos2)-nrow(stpos1)),ncol(stpos1))),rbind(stpos2,matrix(0,max(0,nrow(stpos1)-nrow(stpos2)),ncol(stpos2)))) # concatenate bms.calls in list call.combi= c(flso1$bms.call,flso2$bms.call) # combine arguments args.combi = flso1$arguments; args2=flso2$arguments args.combi$burn = args.combi$burn + args2$burn args.combi$iter = args.combi$iter + args2$iter if ((length(args.combi$mprior.size)==1)|(length(args.combi$mprior.size)==1)) {args.combi$mprior.size = mean(c(args.combi$mprior.size,args2$mprior.size))} args.combi$nmodel = topmod.combi$nbmodels # args.combi$beta.save = (args.combi$beta.save & args2$beta.save) args.combi$user.int = (args.combi$user.int & args2$user.int) args.combi$g.stats = (args.combi$g.stats & args2$g.stats) #model prior object mp1=flso1$mprior.info; mp2=flso2$mprior.info if (mp1$mp.mode!=mp2$mp.mode) {mpall=list()} else { mpall=mp1 mpall$mp.msize = .5*mp1$mp.msize+.5*mp2$mp.msize mpall$origargs$mpparam = .5*mp1$origargs$mpparam+.5*mp2$origargs$mpparam mpall$mp.Kdist= .5*mp1$mp.Kdist + .5*mp2$mp.Kdist } result=list(info=obj.combi$info,arguments=args.combi, topmod=topmod.combi,start.pos=startpos.combi, gprior.info=obj.combi$gprior.info, mprior.info=mpall, X.data=flso1$arguments$X.data,reg.names=obj.combi$reg.names,bms.call=call.combi) class(result)="bma" return(result) } ############################################################################################################# #this is the rest of the combine function; the combine function is iteratively used to combine as many chains #as are specified by (...) ############################################################################################################ arglist=list(...) if ( !all(unlist(lapply(arglist,is.bma)))) stop("All of the input arguments must be BMA objects!") if ( !all(lapply(arglist,function (xx) xx$info$K)==arglist[[1]]$info$K) ) stop("All of the input BMA objects must have an equal number of max regressors (i.e. equal (X.data))!") if ( !all(lapply(arglist,function (xx) xx$info$N)==arglist[[1]]$info$N) ) stop("All of the input BMA objects must have equal X.data!") if ( !all(lapply(arglist,function (xx) xx$gprior.info$gtype)==arglist[[1]]$gprior.info$gtype) ) stop("All of the input BMA objects must have the same type of g-prior (bms-argument g)") if ( length(arglist)==1) return(arglist[[1]]) combined_output <- combine_2chains(arglist[[1]],arglist[[2]]) if (nargs()>2) { for (inarg in 3:nargs()) { combined_output <- combine_2chains(arglist[[inarg]],combined_output) } } ############################################################################################################ return(combined_output) } #' Concatenate bma objects #' #' Combines bma objects (resulting from \code{\link{bms}}). Can be used to #' split estimation over several machines, or combine the MCMC results obtained #' from different starting points. #' #' Aggregates the information obtained from several chains. The result is a #' 'bma' object (cf. 'Values' in \code{\link{bms}}) that can be used just as a #' standard 'bma' object.\cr Note that \code{combine_chains} helps in #' particular to paralllelize the enumeration of the total model space: A model #' with \eqn{K} regressors has \eqn{2^K} potential covariate combinations: With #' \eqn{K} large (more than 25), this can be pretty time intensive. With the #' \code{\link{bms}} arguments \code{start.value} and \code{iter}, sampling can #' be done in steps: cf. example 'enumeration' below. #' #' @aliases combine_chains c.bma #' @param \dots At least two 'bma' objects (cf. \code{\link{bms}}) #' @param recursive retained for compatibility with \code{\link{c}} method #' #' @seealso \code{\link{bms}} for creating bma objects #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords models #' @examples #' #' data(datafls) #' #' #MCMC case ############################ #' model1=bms(datafls,burn=1000,iter=4000,mcmc="bd",start.value=c(20,30,35)) #' model2=bms(datafls,burn=1500,iter=7000,mcmc="bd",start.value=c(1,10,15)) #' #' model_all=c(model1,model2) #' coef(model_all) #' plot(model_all) #' #' #' #' #splitting enumeration ######################## #' #' #standard case with 12 covariates (4096 differnt combinations): #' enum0=bms(datafls[,1:13],mcmc="enumerate") #' #' # now split the task: #' # enum1 does everything from model zero (the first model) to model 1999 #' enum1=bms(datafls[,1:13],mcmc="enumerate",start.value=0,iter=1999) #' #' # enum2 does models from index 2000 to the index 3000 (in total 1001 models) #' enum2=bms(datafls[,1:13],mcmc="enumerate",start.value=2000,iter=1000) #' #' # enum3 does models from index 3001 to the end #' enum3=bms(datafls[,1:13],mcmc="enumerate",start.value=3001) #' #' enum_combi=c(enum1,enum2,enum3) #' coef(enum_combi) #' coef(enum0) #' #both enum_combi and enum0 have exactly the same results #' #(one difference: enum_combi has more 'top models' (1500 instead of 500)) #' #' @export c.bma <- function(...,recursive=FALSE) { #simple wrapper, recursive has no meaning and ist retained for compatibility combine_chains(...) } ######################################################################## # auxiliary functions for the topmodel object ########################## ######################################################################## .hexcode.binvec.convert <- function(length.of.binvec) { #function to initialise conversion betwwen logical vector (such as c(1,0,0,0)) and character hexcode vector (such as "f") #length.of.binvec is the desired length of the inserted and resulting logical vectors; #the initialisation will fit some leading zeros to make it convertible into hexcode (length of bin. vector as a multiple of 4) if (length(length.of.binvec)>1) length.of.binvec=length(length.of.binvec) addpositions=4-length.of.binvec%%4; positionsby4=(length.of.binvec+addpositions)/4; hexvec=c(0:9,"a","b","c","d","e","f"); #lookup list for converting from binary to hexadecimal hexcodelist=list("0"=numeric(4),"1"=c(0,0,0,1),"2"=c(0,0,1,0),"3"=c(0,0,1,1),"4"=c(0,1,0,0),"5"=c(0,1,0,1),"6"=c(0,1,1,0), "7"=c(0,1,1,1),"8"=c(1,0,0,0),"9"=c(1,0,0,1),"a"=c(1,0,1,0),"b"=c(1,0,1,1),"c"=c(1,1,0,0),"d"=c(1,1,0,1),"e"=c(1,1,1,0),"f"=c(1,1,1,1)); #lookup list for converting from hexadecimal to binary return(list( as.hexcode = function(binvec) { #convert logical vector to hexcode character incl=c(numeric(addpositions),binvec);dim(incl)=c(4,positionsby4); #split into elements of four positions return(paste(hexvec[crossprod(incl,2L^(3:0))+1],collapse="")); }, as.binvec = function(hexcode) { #convert hexcode character to numeric vector (e.g. "a" to c(1,0,1,0)) return(unlist(hexcodelist[unlist(strsplit(hexcode,"",fixed=TRUE),recursive=FALSE,use.names=FALSE)],recursive=FALSE,use.names=FALSE)[-(1:addpositions)]) })) } #' @rdname bin2hex #' @export hex2bin<-function(hexcode) { #user-friendly function to convert some hexcode character to numeric vector (e.g. "a" to c(1,0,1,0)) if (!is.character(hexcode)) stop("please input a character like '0af34c'"); hexcode <- paste("0",tolower(hexcode),sep="") hexobj<-.hexcode.binvec.convert(length(hexcode)*16L) return(hexobj$as.binvec(hexcode)) } #' Converting Binary Code to and from Hexadecimal Code #' #' A simple-to-use function for converting a logical ('binary') vector into hex #' code and reverse. #' #' The argument is an integer in binary form (such as "101"), provided as a #' logical (\code{c(T,F,T)}) or numeric vector (\code{c(1,0,1)}).\cr #' \code{bin2hex} then returns a character denoting this number in hexcode (in #' this case "5"). #' #' The function \code{hex2bin} does the reverse operation, e.g. #' \code{hex2bin("5")} gives (\code{c(1,0,1)}). #' #' @aliases bin2hex hex2bin #' @param binvec a logical vector (alternatively a vector coercible into #' logical) #' @param hexcode a single-element character denoting an integer in hexcode #' (admissible character: 0 to 9, ato f) #' @return \code{bin2hex} returns a single element character; \code{hex2bin} #' returns a numeric vector equivalent to a logical vector #' #' @seealso \code{\link{hex2bin}} for converting hexcode into binary vectors, #' \code{\link{format.hexmode}} for a related R function. #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords arith #' @examples #' #' bin2hex(c(TRUE,FALSE,TRUE,FALSE,TRUE,TRUE)) #' bin2hex(c(1,0,1,0,1,1)) #' hex2bin("b8a") #' bin2hex(hex2bin("b8a")) #' #' @export bin2hex<-function(binvec) { #user-friendly function to convert some logical vector to hexcode character(e.g. c(1,0,1,0) or c(T,F,T,F) to "a") if (!is.logical(binvec)) {if (is.numeric(binvec)) {binvec=as.logical(binvec)} else {stop("need to supply a logical vector like c(T,F) or c(1,0)")} } hexobj<-.hexcode.binvec.convert(length(binvec)) hexcode=hexobj$as.hexcode(binvec) if (nchar(hexcode)>(floor((length(binvec)-1)/4)+1)) {hexcode=substring(hexcode,2)} return(hexcode) } ####################### # FUNCTIONS FOR USERS # ######################################################################### #' Plot Model Size Distribution #' #' Plots posterior and prior model size distribution #' #' #' @param bmao a 'bma' object (cf. \code{\link{bms}}) #' @param exact if \code{TRUE}, then the posterior model distribution is based #' on the best models of \code{bmao} and their marginal likelihoods;\cr if #' \code{FALSE} (default) then the distribution is based on all encountered #' models and their MCMC frequencies (cf. 'Details' in \code{\link{coef.bma}}) #' @param ksubset integer vector detailing for which model sizes the plot #' should be done #' @param include.legend if \code{TRUE}, a small legend is included via the #' low-level command \code{\link{legend}} #' @param do.grid if \code{TRUE}, a \code{\link{grid}} is added to the plot #' (with a simple \code{grid()}). #' @param \dots parameters passed on to \code{\link{matplot}} with sensible #' defaults #' @return As a default, \code{plotModelsize} plots the posterior model size #' distribution as a blue line, and the prior model distribution as a dashed #' red line.\cr In addition, it returns a list with the following elements: #' \item{mean}{The posterior expected value of model size} \item{var}{The #' variance of the posterior model size distribution} \item{dens}{A vector #' detailing the posterior model size distribution from model size \eqn{0} (the #' first element) to \eqn{K} (the last element)} #' #' @seealso See also \code{\link{bms}}, \code{\link{image.bma}}, #' \code{\link{density.bma}}, \code{\link{plotConv}} #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords hplot #' @examples #' #' data(datafls) #' mm=bms(datafls,burn=1500, iter=5000, nmodel=200,mprior="fixed",mprior.size=6) #' #' #plot Nb.1 based on aggregate results #' postdist= plotModelsize(mm) #' #' #plot based only on 30 best models #' plotModelsize(mm[1:30],exact=TRUE,include.legend=FALSE) #' #' #plot based on all best models, but showing distribution only for model sizes 1 to 20 #' plotModelsize(mm,exact=TRUE,ksubset=1:20) #' #' # create a plot similar to plot Nb. 1 #' plot(postdist$dens,type="l") #' lines(mm$mprior.info$mp.Kdist) #' #' #' @export plotModelsize<-function(bmao,exact=FALSE,ksubset=NULL,include.legend=TRUE, do.grid=TRUE, ...) { #,lwd=1.5,xaxt="n",col=c("steelblue3","tomato"),main=NULL,cex.main=0.8,xlab="Model Size",ylab=""){ #plots posterior vs. prior model size distribution # bma: bma object # exact: whether posterior distribution is to be based on MC3 results or on best 'top' models (as in bmao$topmod) # ksubset: an integer vector detailing for which model sizes the plot should be done # include.legend: if TRUE, a small legend is included via legend() # ... parameters passed on to ?matplot (Note: defaults are as above, default 'main' is 'Posterior Model Size Distribution Mean: x' where x is the actual mean) # besides plotting, the function returns a list with the mean and variance of the posterior model size distribution (not altered by ksubset) dotargs = match.call(expand.dots=FALSE)$... if (length(exact)>1) { topmodidx=exact; exact=TRUE} else {topmodidx=NA} # get required information K=bmao$info$K if (is.element("mprior.info",names(bmao))) m=bmao$mprior.info$mp.msize else m=bmao$arguments$prior.msize pmp.10=pmp.bma(bmao$topmod[topmodidx],oldstyle=TRUE) if(exact){ modelSmean=sum(apply(.post.topmod.bma(bmao$topmod[topmodidx]),2,function(x) length(which(x==1)))*pmp.10[,1]) modelS.var=sum(apply(.post.topmod.bma(bmao$topmod[topmodidx]),2,function(x) length(which(x==1)))^2*pmp.10[,1])-modelSmean^2 x = apply(.post.topmod.bma(bmao$topmod[topmodidx]),2,function(x) length(which(x==1))) y = pmp.10[,1] result = c() for( i in sort(unique(x)) ) result = c(result, sum(y[which(x==i)])) names(result) = sort(unique(x)) kvec=rep(0,(K+1)) kvec[(as.numeric(names(result))+1)]=result } else{ k.vec=bmao$info$k.vec #calculate expected value summi=sum(k.vec) #modelSmean -1 because we have to deduct the constant from the mean model size modelSmean=sum((1:length(k.vec))*(k.vec/summi))-1 kvec=k.vec/sum(k.vec) modelSmean.sq=sum(((1:length(k.vec))^2)*(k.vec/summi)) modelS.var=modelSmean.sq-modelSmean^2 #var(x)=E(X^2)-(E(X))^2 } upper=min(ceiling(modelSmean+5*modelS.var), K) lower=max(floor(modelSmean-5*modelS.var),0) if (is.element("mp.Kdist",names(bmao$mprior.info))) { prior = bmao$mprior.info$mp.Kdist } else if (is.element("theta", names(bmao$arguments))) { #kept for historical reasons theta=bmao$arguments$theta if(theta=="random"){ beta.bin=function(a=1,b=(K-m)/m,K=K,w=0:K){ return(lgamma(a+b)-(lgamma(a)+lgamma(b)+lgamma(a+b+K))+log(choose(K,w))+lgamma(a+w)+lgamma(b+K-w)) } prior=exp(beta.bin(a=1,b=(K-m)/m,K=K,w=0:K)) } if(theta!="random"){ prior=stats::dbinom(x=0:K,size=K,prob=m/K,log=FALSE)} } else { prior = rep(NA,length(kvec)) } mat=cbind(kvec,prior) #do the plot upper.ylim=max(kvec,prior, na.rm=TRUE) if(is.null(ksubset)){ksubset=(lower:upper)} dotargs=.adjustdots(dotargs,type="l",ylim=c(0,1.1*upper.ylim),lwd=1.5,xaxt="n",col=c("steelblue3","tomato"),main=paste("Posterior Model Size Distribution","\n","Mean:",round(modelSmean,4)),cex.main=0.8,xlab="Model Size",ylab="", lty=1:2, pch=4, cex.axis=.9) matsubset=mat[ksubset+1,] eval(as.call(c(list(as.name("matplot"),as.name("matsubset")),as.list(dotargs)))) #matplot(mat[ksubset,],type="l",xaxt=xaxt,col=col, # main=ifelse(is.null(main),paste("Posterior Model Size Distribution","\n","Mean:", # round(modelSmean,4)),main),cex.main=cex.main,xlab=xlab, # ylim=c(0,1.1*upper.ylim),lwd=lwd,ylab=ylab,...) if (as.logical(do.grid)) graphics::grid() graphics::points(kvec[ksubset+1],cex=0.8,pch=eval(dotargs$pch)) #if(lower==0){ # graphics::axis(1, las=1, at =1:length(lower:upper), label = c(0:K)[lower:(upper+1)],cex.axis=0.7) #} #else{ # axis(1, las=1, at =1:length(lower:upper), label = c(0:K)[lower:upper],cex.axis=0.7) #} graphics::axis(1, las=1, at =1:length(ksubset), labels = ksubset, cex.axis=eval(dotargs$cex.axis)) if (include.legend) { if (is.null(prior)||all(is.na(prior))) { graphics::legend(x="topright",lty=eval(dotargs$lty),legend=c("Posterior"),col=eval(dotargs$col),ncol=1,bty="n",lwd=eval(dotargs$lwd)) } else { graphics::legend(x="topright",lty=eval(dotargs$lty),legend=c("Posterior","Prior"),col=eval(dotargs$col),ncol=2,bty="n",lwd=eval(dotargs$lwd)) } } return(invisible(list(mean=modelSmean,var=modelS.var,dens=kvec))) } #' Coefficient Marginal Posterior Densities #' #' Calculates the mixture marginal posterior densities for the coefficients #' from a BMA object and plots them #' #' The argument \code{addons} specifies what additional information should be #' added to the plot(s) via the low-level commands \code{\link{lines}} and #' \code{\link{legend}}:\cr \code{"e"} for the posterior expected value (EV) of #' coefficients conditional on inclusion (see argument \code{exact=TRUE} in #' \code{\link{coef.bma}}),\cr \code{"s"} for 2 times posterior standard #' deviation (SD) bounds,\cr \code{"m"} for the posterior median,\cr \code{"b"} #' for posterior expected values of the individual models whom the density is #' averaged over,\cr \code{"E"} for posterior EV under MCMC frequencies (see #' argument \code{exact=FALSE} in \code{\link{coef.bma}}),\cr \code{"S"} for #' the corresponding SD bounds (MCMC),\cr \code{"p"} for plotting the Posterior #' Inclusion Probability above the density plot,\cr \code{"l"} for including a #' \code{\link{legend}}, \code{"z"} for a zero line, \code{"g"} for adding a #' \code{\link{grid}} #' #' Any combination of these letters will give the desired result. Use #' \code{addons=""} for not using any of these.\cr In case of #' \code{density.zlm}, only the letters \code{e}, \code{s}, \code{l}, \code{z}, #' and \code{g} will have an effect. #' #' @aliases density.bma density.zlm #' @param x A bma object (see \code{\link{bms}}) or a \code{\link{zlm}} object. #' @param reg A scalar integer or character detailing which covariate's #' coefficient should be plotted. If \code{reg=NULL} (default), then all #' regressors are plotted one after the other, waiting for user interaction. #' @param addons character. Specifies which additional information should be #' added to the plot via low-level commands (see 'Details' below). #' @param std.coefs logical. If \code{TRUE} then the posterior density is #' estimated for standardized coefficients (representing the case where all #' variables have mean zero and standard deviation 1) - default is #' \code{FALSE}. #' @param n numeric. the number of equally spaced points at which the density #' is to be estimated. #' @param plot logical. If \code{TRUE} (default), the density is plotted; if #' \code{FALSE} then \code{density.bma} only returns the estimated posterior #' densities without plotting. #' @param hnbsteps even integer, default 30. The number of numerical #' integration steps to be used in case of a hyper-g prior (cf. argument #' \code{g} in \code{\link{bms}}). Increase this number to increase accuracy. #' @param addons.lwd scalar, default 1.5. Line width to be used for the #' low-level plotting commands specified by \code{addons}. Cf. argument #' \code{lwd} in \code{\link{par}} #' @param \dots Additional arguments for \code{\link{plot.default}} with #' sensible defaults #' @return The function returns a list containing objects of the class #' \code{\link{density}} detailing the marginal posterior densities for each #' coefficient provided in \code{reg}.\cr In case of \code{density.zlm}, simple #' marginal posterior coefficient densities are computed, while #' \code{density.bma} calculates there mixtures over models according to #' posterior model probabilities.\cr These densities contain only the density #' points apart from the origin. (see 'Note' below) #' #' As long as \code{plot=TRUE}, the densities are plotted too. Note that (for #' \code{density.bma}) if the posterior inclusion probability of a covariate is #' zero, then it will not be plotted, and the returned density will be #' \code{list(x=numeric(n),y=numeric(n))}. #' @note The computed marginal posterior densities from \code{density.bma} are #' a Bayesian Model Averaging mixture of the marginal posterior densities of #' the individual models. The accuracy of the result therefore depends on the #' number of 'best' models contained in \code{x} (cf. argument \code{nmodel} in #' \code{\link{bms}}). #' #' The marginal posterior density can be interpreted as 'conditional on #' inclusion': If the posterior inclusion probability of a variable is smaller #' than one, then some of its posterior density is Dirac at zero. Therefore #' the integral of the returned density vector adds up to the posterior #' inclusion probability, i.e. the probability that the coefficient is not #' zero. #' #' Correspondingly, the posterior EV and SD specified by \code{addons="es"} are #' based on 'best' model likelihoods ('exact') and are conditional on #' inclusion. They correspond to the results from command #' \code{coef.bma(x,exact=TRUE,condi.coef=TRUE,order.by.pip=FALSE)} (cf. the #' example below). #' #' The low-level commands enacted by the argument \code{addons} rely on colors #' of the \code{\link{palette}}: color 2 for \code{"e"} and \code{"s"}, color 3 #' for \code{"m"}, color 8 for \code{"b"}, color 4 for \code{"E"} and #' \code{"S"}. The default colors may be changed by a call to #' \code{\link{palette}}. #' #' Up to BMS version 0.3.0, \code{density.bma} may only cope with built-in #' \code{gprior}s, not with any user-defined priors. #' #' @seealso \code{\link{quantile.coef.density}} for extracting quantiles, #' \code{\link{coef.bma}} for similar concepts, \code{\link{bms}} for creating #' bma objects #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords aplot utilities #' @examples #' #' #' data(datafls) #' mm=bms(datafls) #' #' density(mm,reg="SubSahara") #' density(mm,reg=7,addons="lbz") #' density(mm,1:9) #' density(mm,reg=2,addons="zgSE",addons.lwd=2,std.coefs=TRUE) #' #' # plot the posterior density only for the very best model #' density(mm[1],reg=1,addons="esz") #' #' #' #using the calculated density for other purposes... #' dd=density(mm,reg="SubSahara") #' plot(dd) #' #' dd_list=density(mm,reg=1:3,plot=FALSE,n=400) #' plot(dd_list[[1]]) #' #' #' #Note that the shown density is only the part that is not zero #' dd=density(mm,reg="Abslat",addons="esl") #' pip_Abslat=sum(dd$y)*diff(dd$x)[1] #' #' #this pip and the EV conform to what is done by the follwing command #' coef(mm,exact=TRUE,condi.coef=TRUE)["Abslat",] #' #' @export density.bma <- function(x,reg=NULL,addons="lemsz",std.coefs=FALSE,n=300,plot=TRUE,hnbsteps=30,addons.lwd=1.5,...) { # x: a bma object # reg: the covariate to be calculated; can be character or integer # addons: low-level additions to the plot: "e" for post. expected value, "s" for 2 times Std.Dev. bounds, # "l" for including a legend, "m" for the median, "z" for a zero line # "b" for posterior exp. values of the individual models # "E" for post. exp. value under MCMC frequencies, "S" for the corresponding SD bounds (MCMC) # ?"g" for adding a grid() # "p" for an additional box drawing the PIP # n: the number of points for which the density should be estimated # std.coefs: If TRUE then plot post. dist. of standardized coefficients # plot: if FALSE, then only the density is returned; # hnbsteps: steps for numerical integration in case of a hyper-g prior # addons.lwd: lty for addons lines #...: parameters passed on to plot # #returns a list of class "density" (cf. ?density) dtcm=function(x,df,ncp,varp) { #a wrapper for univariate t-dist with non-centrality parameter and variance parameter # (variance is df/(df-2)*varp) sqvarp=sqrt(varp) stats::dt((x-ncp)/sqvarp,df=df)/sqvarp } dsgivenykernel <- function(sf,kpa,N,z) { #the post. density of the shrinkge factor f(s|Y)*F((N-1)/2,1,(k+a)/2,R2) (kpa-2)/2*(1-sf)^((kpa-4)/2)*(1-sf*z)^(-(N-1)/2) } #check user input and get basic info dotargs = match.call(expand.dots=FALSE)$... bmao=x if (!is.bma(bmao)) stop("Argument bmao needs to be a bma object") if (hnbsteps%%2) stop("Argument nbsteps needs to be an even integer") nbsteps=max(hnbsteps,2) n=max(ceiling(n),1) N=bmao$info$N; K=bmao$info$K if(is.null(reg)) reg=1:K nameix=1:K; names(nameix)=bmao$reg.names; reg=nameix[reg] #if (is.na(reg)) stop("Argument reg is out of bounds") ishyper=(bmao$gprior$gtype=="hyper") tm=bmao$topmod bools=(tm$bool_binary()) betas=tm$betas() betas2=tm$betas2() if (std.coefs) { #if standardized coefficients are wanted, then adjust moments accordingly sddata=apply(as.matrix(bmao$arguments$X.data),2,stats::sd) betas=diag(sddata[-1])%*%betas/sddata[1] betas2=diag(sddata[-1]^2)%*%betas2/sddata[1]^2 } sigmadiag=(betas2-betas^2)*(N-3)/(N-1) #the variance parameters for the t-dist pmps=pmp.bma(bmao$topmod,oldstyle=TRUE)[,1] #calc post model probs (exact) #the stuff below is similar to estimates.bma(bmao, condi.coef=TRUE,exact=TRUE) pips=c(tcrossprod(bools,t(pmps))) Eb1=c(tcrossprod(betas,t(pmps)))/pips Ebsd=sqrt(c(tcrossprod(betas2,t(pmps)))/pips-Eb1^2); Ebsd[is.nan(Ebsd)]=0; Eb1[is.nan(Eb1)]=0 Eball=cbind(Eb1,Ebsd) #conditional coefficients if ((any(grep("E",addons,ignore.case=FALSE)))|(any(grep("S",addons,ignore.case=FALSE)))) { #in case the user wants to include MCMC results (see estimates.bma(,exact=FALSE), #then compute them here Eb1.mcmc = bmao$info$b1mo/bmao$info$inccount Ebsd.mcmc = sqrt(bmao$info$b2mo/bmao$info$inccount-Eb1.mcmc^2) if (std.coefs) { sddata=apply(as.matrix(bmao$arguments$X.data),2,stats::sd) Eb1.mcmc=Eb1.mcmc*sddata[-1]/sddata[1]; Ebsd.mcmc=Ebsd.mcmc*sddata[-1]/sddata[1]; } } if (ishyper) { #in case of hyper-g, we cannot rely on sigmadiag, but have to numerically integrate over #differnt shrinkages, for that we need this yXdata=as.matrix(bmao$arguments$X.data); yXdata=yXdata-matrix(colMeans(yXdata),N,K+1,byrow=TRUE) if (std.coefs) yXdata=yXdata%*%diag(1/sddata) yty=c(crossprod(yXdata[,1])) positions=lapply(lapply(as.list(as.data.frame(bools)),as.logical),which) olsmodels=lapply(lapply(positions,.ols.terms2,yty=yty,N=N,K=K,XtX.big=crossprod(yXdata[,-1]),Xty.big=c(crossprod(yXdata[,-1],yXdata[,1]))),function (x) x$full.results()) f21a=bmao$gprior.info$hyper.parameter } plotndens <- function(ix,doplot=FALSE) { #this function does marginal density and plot for a specific covariate #depends heavily on parent scope! sss=function(lbound,uboundp1,nbsteps) { #simple simpson integration over shrinkage factor #this is just a convenience function and depends on variables in parent scope, only used in case of hyper-g s.seq=seq(lbound,uboundp1,(uboundp1-lbound)/nbsteps)[-nbsteps] tmat=sapply(as.list(s.seq),function(ss) { dtcm(seqs,N-1,ss*bhati,invdiagi*ss*(1-ss*z)/(N-1)*yty)}) #matrix of t-densities for different s smat=sapply(as.list(s.seq),dsgivenykernel, kpa=k+f21a,N=N,z=z) #vector of posterior densities for the differnet s if (any(is.infinite(smat))) smat[is.infinite(smat)]=0 intconst=(4*sum(smat[c(FALSE,TRUE)])+2*sum(smat[c(TRUE,FALSE)])-3*smat[nbsteps]-smat[1])*(s.seq[nbsteps]-s.seq[1])/nbsteps/3 #calc the value of F((N-1)/2,1,(k+a)/2,R2) return(list(dv=c(4*tmat[,c(FALSE,TRUE)]%*%smat[c(FALSE,TRUE)]+2*tmat[,c(TRUE,FALSE)]%*%smat[c(TRUE,FALSE)]-3*tmat[,nbsteps]*smat[nbsteps]-tmat[,1]*smat[1])*(s.seq[nbsteps]-s.seq[1])/nbsteps/3, ic=intconst)) #return the estimated density and a normalization constant #is done in parts because it may be recomposed later } if (pips[ix]==0) { reslist=list(x=numeric(n),y=numeric(n),n=n,call=sys.call(),data.name=names(nameix)[ix],has.na=FALSE); class(reslist)=c("density", "coef.density") return(reslist) } #the x vector lbound=min(betas[ix,as.logical(bools[ix,])])-3*Eball[ix,2]; ubound=max(betas[ix,as.logical(bools[ix,])])+3*Eball[ix,2]; seqs=seq(lbound,ubound,(ubound-lbound)/(n-1)) densvec=numeric(length(seqs)) #loop through models and calc post dens for (m in 1:length(pmps)) { if (bools[ix,m]) { if (ishyper) { ixadj=sum(bools[1:ix,m]) bhati=olsmodels[[m]]$bhat[[ixadj]]; invdiagi=olsmodels[[m]]$diag.inverse[[ixadj]]; k=sum(bools[,m]); Esf=betas[ix,m]/bhati; z=1-olsmodels[[m]]$ymy/yty; midpoint=1-(1-Esf)*4 if (midpoint<.5) { dvl=sss(.0001,.9999999,nbsteps*2); addvec=dvl$dv/dvl$ic } else { dvl1=sss(.0001,midpoint,nbsteps); dvl2=sss(midpoint,1,nbsteps) addvec=(dvl1$dv+dvl2$dv)/(dvl1$ic+dvl2$ic) } } else { addvec=dtcm(seqs,N-1,betas[ix,m],sigmadiag[ix,m]) } densvec=densvec+pmps[m]*addvec } } reslist=list(x=seqs,y=densvec,bw=NULL,n=n,call=sys.call(),data.name=names(nameix)[ix],has.na=FALSE); class(reslist)="density" if (!doplot) { return(reslist) } #plot stuff main_default=paste("Marginal Density:",names(nameix)[ix],"(PIP",round(c(crossprod(pmps,bools[ix,]))*100,2),"%)") if (any(grep("p",addons,ignore.case=TRUE))) { decr=.12; parplt=graphics::par()$plt; parplt_temp=parplt; parplt_temp[4]=(1-decr)*parplt[4] +decr*parplt[3]; graphics::par(plt=parplt_temp) main_temp=main_default; main_default=NULL # graphics::layout(1:2,heights=c(.1,1)) # opm=par()$mar # par(mar=c(0,opm[2],1,opm[4])) # plot(0,type="n",xlim=0:1,ylim=0:1,xaxt="n",yaxt="n",bty="n",xlab="",ylab="") # mtext("PIP",side=2,las=2) # rect(0,0,1,1,col=8) # rect(0,0,pips[ix],1,col=9) # par(mar=opm) } dotargs=.adjustdots(dotargs,type="l", col="steelblue4", main=main_default, xlab=if (std.coefs) "Standardized Coefficient" else "Coefficient", ylab = "Density"); # if (!is.element('type',names(dotargs))) { dotargs$type <- "l" } # if (!is.element('col',names(dotargs))) { dotargs$col <- "steelblue4" } # if (!is.element('main',names(dotargs))) { dotargs$main=paste("Marginal Density:",names(nameix)[ix],"(PIP",round(c(crossprod(pmps,bools[ix,]))*100,2),"%)") } # if (!is.element('xlab',names(dotargs))) { dotargs$xlab <- if (std.coefs) "Standardized Coefficient" else "Coefficient" } # if (!is.element('ylab',names(dotargs))) { dotargs$ylab <- "Density" } # eval(as.call(c(list(as.name("plot"),x=as.name("seqs"),y=as.name("densvec")),as.list(dotargs)))) leg.col=numeric(0);leg.lty=numeric(0); leg.legend=character(0) if (any(grep("g",addons,ignore.case=TRUE))) { # grid graphics::grid() } if (any(grep("b",addons,ignore.case=TRUE))) { # post exp values of the individual models for (m in 1:length(pmps)) { Ebm=betas[ix,m] ; if (as.logical(Ebm)) { Ebheight=min(densvec[max(sum(seqs0)) { #legend leg.pos="topright"; if (Eball[ix,1]>seqs[floor(n/2)]) leg.pos="topleft"; graphics::legend(x=leg.pos,lty=leg.lty,col=leg.col,legend=leg.legend,box.lwd=0,bty="n",lwd=addons.lwd) } if (any(grep("p",addons,ignore.case=TRUE))) { pusr=graphics::par()$usr graphics::rect(pusr[1],pusr[4]*(1+decr*.2), pusr[2], pusr[4]*(1+decr),xpd=TRUE,col=8) graphics::rect(pusr[1],pusr[4]*(1+decr*.2), pips[ix]*pusr[2]+(1-pips[ix])*pusr[1], pusr[4]*(1+decr),xpd=TRUE,col=9) graphics::mtext("PIP:",side=2, las=2,line=1, at=pusr[4]*(1+decr*.6)) graphics::par(plt=parplt) graphics::title(main_temp) } return(reslist) } densres=list() oldask=graphics::par()$ask plots=0 for (vbl in 1:length(reg)) { doplot=(if (as.logical(pips[reg[vbl]])) plot else FALSE) plots=plots+doplot if (plots==2) {graphics::par(ask=TRUE)} densres[[nameix[vbl]]]=plotndens(reg[vbl],doplot) densres[[nameix[vbl]]]$call=sys.call() #call("density.bma",bmao=bmao,reg=reg,n=300,hnbsteps=30) } graphics::par(ask=oldask) if (length(densres)==1) densres=densres[[1]] else class(densres) = c("coef.density",class(densres)) if (!plot) return(densres) if (plot&(plots==0)) {warning("No plot produced as PIPs of provided variables are zero under 'exact' estimation.")} return(invisible(densres)) } #' Posterior Density of the Shrinkage Factor #' #' Calculates the mixture marginal posterior density for the shrinkage factor #' (g/(1+g)) from a BMA object under the hyper-g prior and plots it #' #' The function \code{gdensity} estimates and plots the posterior density for #' the shrinkage factor \eqn{g/(1+g)}\cr This is evidently only possible if the #' shrinkage factor if not fixed, i.e. if the bma object \code{x} was estimated #' with a hyper-g prior - cf. argument \code{g} in \code{\link{bms}}\cr The #' density is based only on the best models retained in the bma object #' \code{x}, cf. argument \code{nmodel} in \code{\link{bms}}\cr A note on #' argument \code{n}: The points at which the density is estimated start at #' \eqn{max(0,E-5*SD)}, where \eqn{E} and \eqn{SD} are the expected value and #' standard deviation of the shrinkage factor, respectively. For plotting the #' entire domain \eqn{(0,1)} use \code{xlim=c(0,1)} as an argument for #' \code{gdensity}. #' #' The argument \code{addons} specifies what additional information should be #' added to the plot(s) via the low-level commands \code{\link{lines}} and #' \code{\link{legend}}:\cr \code{"e"} for the posterior expected value (EV) of #' the shrinkage factor,\cr \code{"s"} for 2 times posterior standard deviation #' (SD) bounds,\cr \code{"m"} for the posterior median,\cr \code{"f"} for #' posterior expected values of the individual models whom the density is #' averaged over,\cr \code{"z"} for a zero line, \code{"l"} for including a #' \code{\link{legend}}\cr The following two are only possible if the bma #' object collected statistics on shrinkage, cf. argument \code{g.stats} in #' \code{\link{bms}} \code{"E"} for posterior expected value under MCMC #' frequencies (see argument \code{exact} in \code{\link{coef.bma}}),\cr #' \code{"S"} for the corresponding 2 times standard deviation bounds #' (MCMC),\cr #' #' Any combination of these letters will give the desired result. Use #' \code{addons=""} for not using any of these. #' #' @param x A bma object (see \code{\link{bms}}). #' @param n The integer number of equally spaced points at which the density is #' to be estimated. see 'Details' below #' @param addons character, defaulting to \code{"zles"}. Specifies which #' additional information should be added to the plot via low-level commands #' (see 'Details' below). #' @param plot logical. If \code{TRUE} (default), the density is plotted; if #' \code{FALSE} then \code{gdensity} only returns the estimated posterior #' density without plotting. #' @param addons.lwd scalar, default 1.5. Line width to be used for the #' low-level plotting commands specified by \code{addons}. Cf. argument #' \code{lwd} in \code{\link{par}} #' @param \dots Additional arguments for \code{\link{plot.default}} with #' sensible defaults #' @return \code{gdensity} returns an object of the class \code{\link{density}} #' detailing the posterior mixture density of the shrinkage factor. #' @note The computed marginal posterior density is a Bayesian Model Averaging #' mixture of the marginal posterior densities of the shrinkage factor under #' individual models. The accuracy of the result therefore depends on the #' number of 'best' models contained in \code{x} (cf. argument \code{nmodel} in #' \code{\link{bms}}). #' #' Correspondingly, the posterior EV and SD specified by \code{addons="es"} are #' based on 'best' model likelihoods ('exact') and are conditional on #' inclusion. #' #' The low-level commands enacted by the argument \code{addons} rely on colors #' of the \code{\link{palette}}: color 2 for \code{"e"} and \code{"s"}, color 3 #' for \code{"m"}, color 8 for \code{"f"}, color 4 for \code{"E"} and #' \code{"S"}. The default colors may be changed by a call to #' \code{\link{palette}}. #' #' @seealso \code{\link{density.bma}} for computing coefficient densities, #' \code{\link{bms}} for creating bma objects, \code{\link{density}} for the #' general method #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords aplot utilities #' @examples #' #' #' data(datafls) #' mm=bms(datafls,g="hyper=UIP") #' #' gdensity(mm) # default plotting #' #' # the grey bars represent expected shrinkage factors of the individual models #' gdensity(mm,addons="lzfes") #' #' # #plotting the median 'm' and the posterior mean and bounds based on MCMC results: #' gdensity(mm,addons="zSEm",addons.lwd=2) #' #' # plot the posterior shrinkage density only for the very best model #' gdensity(mm[1],addons="esz") #' #' #' #using the calculated density for other purposes... #' dd=gdensity(mm,plot=FALSE) #' plot(dd) #' #' @export gdensity <- function(x,n=512,plot=TRUE,addons="zles",addons.lwd=1.5,...) { #main="Posterior Density of the Shrinkage Factor",type="l",xlab="Shrinkage factor",ylab="Density",col="steelblue4" # plots posterior density of shrinkage factor for hyper-g bma objects # INPUTS: # x: bma object # n: number of equally spaced points where density is computed # plot: whether to do a plot in addition or not # addons: low-level plot commands: draw "z"=zero line, "l"=legend, "e"=exact exp. val, "s"=2x St dev bounds (exact), "E"=MCMC exp. val., "S"=MCMC SD bounds, "g"=shrinkage Exp vals for individual models # addons.lwd: linwe width for addons stuff # ... commands pased on to plot.default dsgivenykernel <- function(kpazvec,sf,N) { #the post. density of the shrinkge factor f(s|Y)*F((N-1)/2,1,(k+a)/2,R2) #kpazvec is a vector with two elements: first element is k+a, second is z (the R-squared) #sf: a vector of shrinkage values #N: sample size (kpazvec[[1]]-2)/2*(1-sf)^((kpazvec[[1]]-4)/2)*(1-sf*kpazvec[[2]])^(-(N-1)/2) #mode is at sf=(N-k-a+3)/(N-1-z*(k+a-4)) } #user checks if (!is.bma(x)) stop("argument needs to an object of class 'bma'") if (!(x$gprior$gtype=="hyper")) stop("g prior density makes only sense for hyper-g prior.") if (n<2) stop("n needs to be at least 2") n=floor(n); #if (!(n%%2)) {n=n+1} dotargs = match.call(expand.dots=FALSE)$... #extract info N=x$info$N; K=x$info$K tm=x$topmod bools=tm$bool_binary() betas=tm$betas() betas2=tm$betas2() smoments = tm$fixed_vector() #re-compute the R-squareds and other stuff for the topmodels yXdata=as.matrix(x$arguments$X.data); yXdata=yXdata-matrix(colMeans(yXdata),N,K+1,byrow=TRUE) yty=c(crossprod(yXdata[,1])) positions=lapply(lapply(as.list(as.data.frame(bools)),as.logical),which) #vector of who is in where ymyvec=unlist(lapply(lapply(positions,.ols.terms2,yty=yty,N=N,K=K,XtX.big=crossprod(yXdata[,-1]),Xty.big=c(crossprod(yXdata[,-1],yXdata[,1]))),function (x) x$full.results()$ymy)) # vector of SSResid kvec=tm$kvec_raw() #vector of parameter number zvec=1-ymyvec/yty #vector of r.-squared pmpexact=pmp.bma(x,oldstyle=TRUE)[,1] #vector of 'exact' posterior model probs f21a=x$gprior.info$hyper.parameter #hyper parameter if (length(smoments)==0) { #if not there, re-compute individual moments for models #lprob=.lprob.hyperg.init(N=N,K=K,yty=yty,f21a=f21a, return.gmoments=TRUE) lprob = x$gprior.info$lprobcalc smoments = sapply(lapply(as.list(as.data.frame(rbind(kvec,ymyvec))),function(x) lprob$lprob.all(ymy=x[2],k=x[1],bhat=numeric(x[1]),diag.inverse=rep(1,x[1]))),"[[","otherstats") } Es=c(crossprod(smoments[1,],pmpexact)) #exp val Es2=c(crossprod(smoments[2,],pmpexact)) Esd = sqrt(Es2-Es^2) #st dev nbsteps=n cutoff=max(0,Es-5*Esd) #this is to concentrate on where the mass is sdiff=(1-cutoff)/(nbsteps+1) s.seq=seq(sdiff+cutoff,cutoff+nbsteps*sdiff,sdiff) sdensl=lapply(as.list(as.data.frame(rbind(kvec+f21a,zvec))),dsgivenykernel,sf=s.seq,N=N) intconsts=lapply(lapply(sdensl,sum),"*",sdiff) # a crude numerical integration to save time sdensvecs=mapply("/",sdensl,intconsts) #normalize by integration constants sdens=sdensvecs%*%pmpexact #mixture density reslist = list(x=s.seq,y=sdens,bw=NULL,n=n,call=sys.call(),data.name="Shrinkage",has.na=FALSE); class(reslist)="density" if (!plot) {return(reslist)} ##### PLOTTING ######################### #Main plot dotargs=.adjustdots(dotargs,ylab="Density", xlab = "Shrinkage factor", main = "Posterior Density of the Shrinkage Factor", type="l", col="steelblue4") eval(as.call(c(list(as.name("plot"),as.name("s.seq"),as.name("sdens")),as.list(dotargs)))) #preparing stuff for addons leg.col=numeric(0);leg.lty=numeric(0); leg.legend=character(0) if (any(grep("f",addons,ignore.case=TRUE))) { # post exp values of the individual models for (m in 1:length(pmpexact)) { Esm=smoments[1,m] ; if (as.logical(Esm)) { ixlower=max(sum(s.seq1) graphics::abline(v=Es+2*Esd,col=2,lty=2,lwd=addons.lwd) leg.col=c(leg.col,2);leg.lty=c(leg.lty,2);leg.legend=c(leg.legend,"2x SD") } if (any(grep("m",addons,ignore.case=TRUE))) { # posterior median median_index=sum(cumsum(sdens)0) graphics::abline(v=ES-2*SDs,col=4,lty=2,lwd=addons.lwd) if (ES+2*SDs<1) graphics::abline(v=ES+2*SDs,col=4,lty=2,lwd=addons.lwd) leg.col=c(leg.col,4);leg.lty=c(leg.lty,2); leg.legend=c(leg.legend,"2x SD (MCMC)") } } if (any(grep("l",addons,ignore.case=TRUE))&(length(leg.col)>0)) { #legend leg.pos="topleft"; graphics::legend(x=leg.pos,lty=leg.lty,col=leg.col,legend=leg.legend,box.lwd=0,bty="n") } return(invisible(reslist)) } #' @rdname quantile.pred.density #' @export quantile.density = function(x, probs=seq(.25,.75,.25), names=TRUE, normalize=TRUE, ...) { # a generic function for objects of class density or lists whose elements are densities # the actual subfunction for object of class "density" my.quantile.density = function(x, probs, names, normalize, ...) { ycs=(cumsum(x$y)-(x$y-x$y[[1]])/2)*diff(x$x[1:2]) if (normalize) ycs=ycs/(ycs[[length(ycs)]]) xin=x$x; maxi=length(ycs) qqs=sapply(as.list(probs), function(qu) {iii=sum(ycs<=qu); if (iii==maxi) return(Inf) else if (iii==0L) return(-Inf) else { return( xin[[iii+1]] + ( (ycs[[iii+1]]-qu)/(ycs[[iii+1]]-ycs[[iii]]) ) *(xin[[iii]]-xin[[iii+1]]) ) }}) if (as.logical(names)) names(qqs)= paste(format(100 * probs, trim = TRUE, digits = max(2L, getOption("digits"))), "%", sep = "")#paste(signif(probs,5),"%",sep="") return(qqs) } # user checks probs=as.vector(probs) if (is.element("density",class(x))) return(my.quantile.density(x=x, probs=probs, names=names, normalize=normalize)) if (!all(sapply(x,function(dd) is.element("density",class(dd))))) stop("x needs to be a density or list of densities") if (length(x)==1L) return(my.quantile.density(x=x[[1]], probs=probs, names=names, normalize=normalize)) #combining a list of denisties qout=sapply(x, my.quantile.density, probs=probs, names=FALSE, normalize=normalize) #formatting the output into a matrix if (!is.matrix(qout)) { #some formatting if (length(probs)>1) return(qout) qout=as.matrix(qout) } else qout=t(qout) if (as.logical(names)) colnames(qout)= paste(format(100 * probs, trim = TRUE, digits = max(2L, getOption("digits"))), "%", sep = "") return(qout) } .quantile.density=quantile.density #' @rdname quantile.pred.density #' @export quantile.coef.density = function(x, probs=seq(.25,.75,.25), names=TRUE, ...) { #customizing quantile.density to stuff resulting from density.bma quout= .quantile.density(x, probs=probs, names=names, normalize=TRUE) if (is.matrix(quout)&&as.logical(names)) rownames(quout) <- sapply(x, function(lx) lx[["data.name"]]) return(quout) } #' Extract Quantiles from 'density' Objects #' #' Quantiles for objects of class "density", "pred.density" or "coef.density" #' #' The methods \code{quantile.coef.density} and \code{quantile.pred.density} #' both apply \code{quantile.density} to densities nested with object of class #' \code{coef.density} or \code{pred.density}.\cr The function #' \code{quantile.density} applies generically to the built-in class #' \code{\link{density}} (as least for versions where there is no such method #' in the pre-configured packages).\cr Note that \code{quantile.density} relies #' on trapezoidal integration in order to compute the cumulative densities #' necessary for the calculation of quantiles. #' #' @aliases quantile.pred.density quantile.coef.density quantile.density #' @param x a object of class \code{\link{pred.density}}, \code{coef.density}, #' \code{\link{density}}, or a list of densities. #' @param probs numeric vector of probabilities with values in [0,1] - elements #' very close to the boundaries return \code{Inf} or \code{-Inf} #' @param names logical; if \code{TRUE}, the result has a \code{names} #' attribute, resp. a \code{rownames} and \code{colnames} attributes. Set to #' \code{FALSE} for speedup with many probs. #' @param normalize logical; if \code{TRUE} then the values in \code{x$y} are #' multiplied with a factor such that their integral is equal to one. #' @param \dots further arguments passed to or from other methods. #' @return If \code{x} is of class \code{density} (or a list with exactly one #' element), a vector with quantiles.\cr If \code{x} is a \code{\link{list}} of #' densities with more than one element (e.g. as resulting from #' \code{pred.density} or \code{coef.density}), then the output is a matrix of #' quantiles, with each matrix row corresponding to the respective density. #' @author Stefan Zeugner #' @seealso \code{\link{quantile.default}} for a comparable function, #' \code{\link{pred.density}} and \code{\link{density.bma}} for the #' BMA-specific objects. #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' mm = bms(datafls[1:70,], user.int=FALSE) #' #' #predict last two observations with preceding 70 obs: #' pmm = pred.density(mm, newdata=datafls[71:72,], plot=FALSE) #' #'standard error' quantiles #' quantile(pmm, c(.05, .95)) #' #' #Posterior density for Coefficient of "GDP60" #' cmm = density(mm, reg="GDP60", plot=FALSE) #' quantile(cmm, probs=c(.05, .95)) #' #' #' #application to generic density: #' dd1 = density(rnorm(1000)) #' quantile(dd1) #' #'\dontrun{ #' #application to list of densities: #' quantile.density( list(density(rnorm(1000)), density(rnorm(1000))) ) #' } #' #' @export quantile.pred.density = function(x, probs=seq(.25,.75,.25), names=TRUE, ...) { #customizing quantile.density to stuff resulting from pred.density quout= .quantile.density(x$densities(), probs=probs, names=names, normalize=FALSE) if (is.matrix(quout)&&as.logical(names)) rownames(quout) <- names(x$fit) return(quout) } #' Plot Convergence of BMA Sampler #' #' Plots the posterior model probabilites based on 1) marginal likelihoods and #' 2) MCMC frequencies for the best models in a 'bma' object and details the #' sampler's convergence by their correlation #' #' A call to bms with a MCMC sampler (e.g. #' \code{bms(datafls,mcmc="bd",nmodel=100)} uses a Metropolis-Hastings #' algorithm to sample through the model space: the frequency of how often #' models are drawn converges to the distribution of their posterior marginal #' likelihoods.\cr While sampling, each 'bma' object stores the best models #' encountered by its sampling chain with their marginal likelihood and their #' MCMC frequencies.\cr \code{plotConv} compares the MCMC frequencies to #' marginal likelihoods, and thus visualizes how well the sampler has #' converged. #' #' @param bmao an object of class 'bma' - see \code{\link{bms}} #' @param include.legend whether to include a \code{\link{legend}} in the plot #' @param add.grid whether to include a \code{\link{grid}} in the plot #' @param \dots other parameters for \code{\link{matplot}} #' @note \code{plotConv} is also used by \code{\link{plot.bma}} #' #' @seealso \code{\link{pmp.bma}} for posterior model probabilites based on the #' two concepts, \code{\link{bms}} for creating objects of class 'bma' #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords aplot #' @examples #' #' #' data(datafls) #' mm=bms(datafls[,1:12],user.int=FALSE) #' #' plotConv(mm) #' #' #is similar to #' matplot(pmp.bma(mm),type="l") #' #' @export plotConv<-function(bmao,include.legend=TRUE,add.grid=TRUE,...){ #function that compares MCMC and exact PMP's for the models in bmao$topmod # bmao: bma object # include.legend: TRUE or FALSE # main: if NULL then default is "Posterior Model Probabilites (Corr: x)", where x is the correlation betw. exact PMPs and MCMC freqs # other parameters: cf. help(plot.default) if (!is.bma(bmao)) stop("submit an object of class bma") # now get PMP analytical and MCMC mat=pmp.bma(bmao,oldstyle=TRUE) norm_const = sum(mat[,1])/sum(mat[,2]) mat=cbind(mat[,2]*norm_const,mat[,1]) if (length(bmao$topmod$lik())==0L) { stop("plotConv needs at least one model stored in topmod in order to produce a plot") } cor.pmp=format(round(.cor.topmod(bmao$topmod),4),nsmall=4) dotargs = match.call(graphics::plot,expand.dots=FALSE)$... dotargs=.adjustdots(dotargs, lwd=2,main=paste("Posterior Model Probabilities\n(Corr: ",cor.pmp,")",sep=""),lty=1,col=c("steelblue3","tomato"),cex.main=0.8,xlab="Index of Models",ylab="",type="l") eval(as.call(c(list(as.name("matplot"),as.name("mat")),as.list(dotargs)))) # if (is.null(main)) main=paste("Posterior Model Probabilities\n(Corr: ",cor.pmp,")",sep="") # matplot(mat,type="l",lty=lty,col=col,lwd=lwd,main=main,xlab=xlab,cex.main=cex.main,ylab=ylab,...) if (as.logical(add.grid)) graphics::grid() if (as.logical(include.legend)) graphics::legend("topright",lty=eval(dotargs$lty),legend=c("PMP (MCMC)", "PMP (Exact)"),col=eval(dotargs$col),ncol=2,bty="n",cex=1,lwd=eval(dotargs$lwd)); } #' Compare Two or More bma Objects #' #' Plots a comparison of posterior inclusion probabilites, coefficients or #' their standard deviation between various bma objects #' #' #' @param \dots one or more objects of class 'bma' to be compared. #' \code{plotComp} passes on any other parameters in \code{\dots{}} to #' \code{\link{matplot}}. #' @param varNr optionally, covariate indices to be included in the plot, can #' be either integer vector or character vector - see examples #' @param comp a character denoting what should be compared: \code{comp="PIP"} #' (default) for posterior inclusion probabilities, \code{comp="Post Mean"} for #' coefficients, \code{comp="Post SD"} for their standard deviations, #' \code{comp="Std Mean"} or standardized coefficients, or \code{comp="Std SD"} #' for standardized standard deviations #' @param exact if \code{FALSE}, the statistics to be compared are based on #' aggregate bma statistics, if \code{TRUE}, they are based solely on the best #' models retained in the bma objects #' @param include.legend whether to include a default legend in the plot #' (custom legends can be added with the command \code{\link{legend}}) #' @param add.grid whether to add a \code{\link{grid}} to the plot #' @param do.par whether to adjust \code{par("mar")} in order to fit in the #' tick labels on the x-axis #' @param cex.xaxis font size scaling parameter for the x-axis - cf. argument #' \code{cex.axis} in \code{\link{par}} #' #' @seealso \code{\link{coef.bma}} for the underlying function #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords hplot #' @examples #' #' ## sample two simple bma objects #' data(datafls) #' mm1=bms(datafls[,1:15]) #' mm2=bms(datafls[,1:15]) #' #' #compare PIPs #' plotComp(mm1,mm2) #' #' #compare standardized coefficeitns #' plotComp(mm1,mm2,comp="Std Mean") #' #' #...based on the lieklihoods of best models #' plotComp(mm1,mm2,comp="Std Mean",exact=TRUE) #' #' #plot only PIPs for first four covariates #' plotComp(mm1,mm2,varNr=1:4, col=c("black","red")) #' #' #plot only coefficients for covariates 'GDP60 ' and 'LifeExp' #' plotComp(mm1,mm2,varNr=c("GDP60", "LifeExp"),comp="Post Mean") #' #' #' #' @export plotComp <-function(...,varNr=NULL,comp="PIP",exact=FALSE,include.legend=TRUE,add.grid=TRUE,do.par=TRUE,cex.xaxis=0.8) { #,main=NULL,type="p",lty=1:5, lwd=1.5, pch=NULL,col=NULL,cex=NULL,bg=NA,xlab="",ylab=NULL){ # this plot compares results from different bma specifications, for example different W matrices # for the SAR bma or if a new computer routine was coded we want to compare results of it with that # of former computer routines # in case you plug in results for different sets of regressors (e.g. once you use interaction sampling with # some interacted variables and compare that to results without interaction sampling) the plot looks only # at the coefficients / SD's for the set of variables that is contained in both specifications; so you can # answer questions like, if I include this set of variables, how do they impact on remaining coefficients if # the set is not included. # you can specify bmaList (list of bma results), varNr is the number of variables you want to see in the plot, # comp is one of "PIP", "Post Mean", "Post SD" or "Std Mean" or "Std SD" (standardized coefficients), # bmaNames are the names the routines get assigned in the legend (e.g. "new Model", "old Model" or "inv Dist.", "inv Dist Squared"), # main is the title of the graph and cexM is the size of the labeling of the regressor names col_default =c("#1B9E77", "#D95F02", "#7570B3", "#E7298A", "#66A61E" ,"#E6AB02", "#A6761D", "#666666") #bmaList = list(...) bmaList=list(...); bmaix=sapply(bmaList,is.bma); bmaList=bmaList[bmaix] #user check: bmaNr=length(bmaList) if(!all(sapply(bmaList,is.bma))){ stop("Submit only bma objects to compare results (no other objects)") } dotargs = match.call(expand.dots=FALSE)$...; dotargs=.adjustdots(dotargs,ylab=paste(comp),pch=1:bmaNr,col=col_default,type="p",lty=1:5,lwd=1.5,xlab="",xaxt="n") dotargs=dotargs[!c(bmaix,logical(length(dotargs)-length(bmaix)))] # # take care of name order and look whether we compare results for same set of variables! xMat=lapply(bmaList,function(x) rownames(estimates.bma(x,exact=exact))) xNames=xMat[[1]] ind=as.numeric(unlist(lapply(xMat,function(x) length(x)))) # in case we do not have the same set of vars in each submitted specification if(length(unique(ind)>1)){ smallestSet=which.min(ind) indMat=array(0:0,dim=c(length(xMat[[smallestSet]]),length(ind))) for(i in 1:length(ind)){ indMat[,i]=as.numeric(xMat[[smallestSet]] %in% xMat[[i]]) } xNamesInd=which(rowSums(indMat)==bmaNr) xNames=xMat[[smallestSet]][xNamesInd] } compNames=c(colnames(estimates.bma(bmaList[[1]])),"Std Mean", "Std Coef") if(is.null(xNames)){ stop("the bma objects have to have (the same) rownames attached to them") } if(!(comp %in% compNames)){ stop("Please specify comp as one of PIP, Post Mean, Post SD, Std Mean, or Std Coef") } if(comp=="Std Mean"){ compMatrix=sapply(bmaList,function(x) estimates.bma(x,std.coefs=TRUE,exact=exact)[xNames,"Post Mean"]) comp="Standardized Coefficients" } else if (comp=="Std SD") { compMatrix=sapply(bmaList,function(x) estimates.bma(x,std.coefs=TRUE,exact=exact)[xNames,"Post SD"]) comp="Standardized SD" } else{ compMatrix=sapply(bmaList,function(x) estimates.bma(x,exact=exact)[xNames,comp]) } bmaNames=names(list(...))[bmaix] colnames(compMatrix)=paste("Model", 1:bmaNr) if(!is.null(bmaNames) && (length(bmaNames)==ncol(compMatrix))) { for (bix in 1:bmaNr) { colnames(compMatrix)[[bix]] <- ifelse(bmaNames[[bix]]=="",paste("Model", bix), bmaNames[[bix]]) } } # in case you do not want to plot the whole stuff but only the first varNr regressors if(!is.null(varNr)){ compMatrix=compMatrix[varNr,,drop=FALSE] } # do the plot #################### if (as.logical(do.par)) { oldmar=graphics::par()$mar spaceforxaxis=graphics::strwidth(rownames(compMatrix)[which.max(nchar(rownames(compMatrix)))],units="inches", cex=cex.xaxis)*(graphics::par("mar")/graphics::par("mai"))[[2]] tempmar=oldmar; tempmar[1]=min(max(oldmar[1],spaceforxaxis+oldmar[1]/3), .5*graphics::par("fin")[[2]]*(graphics::par("mar")/graphics::par("mai"))[[1]]) graphics::par(mar=tempmar) } eval(as.call(c(list(as.name("matplot"),as.name("compMatrix")),as.list(dotargs)))) #matplot(compMatrix,main=main,type=type,col=col,cex=cex,bg=bg,ylab=ylab,xlab=xlab,xaxt="n",pch=pch,lty=lty,lwd=lwd) if (as.logical(include.legend)) { extractfromdotargs=function(...) { dal=list(...); return(list(col=dal$col,pch=dal$pch)) } myargs=eval(as.call(c(list(as.name("extractfromdotargs")),as.list(dotargs)))) graphics::legend("topright", colnames(compMatrix),pch=myargs$pch,col=myargs$col,bty="n") } if (as.logical(add.grid)) graphics::grid() graphics::axis(1, las=2, at = 1:nrow(compMatrix), labels = rownames(compMatrix),cex.axis=cex.xaxis) #graphics::layout(matrix(1)) if (as.logical(do.par)) graphics::par(mar=oldmar) } #' Plot Posterior Model Size and Model Probabilities #' #' Produces a combined plot: upper row shows prior and posterior model size #' distribution, lower row shows posterior model probabilities for the best #' models #' #' #' @param x an object of class 'bma' #' @param \dots additional arguments for \code{\link{matplot}} #' @return combines the plotting functions \code{\link{plotModelsize}} and #' \code{\link{plotConv}} #' @note The upper plot shows the prior and posterior distribution of model #' sizes (\code{\link{plotModelsize}}).\cr The lower plot is an indicator of #' how well the bma object has converged (\code{\link{plotConv}}). #' and Paul #' @seealso \code{\link{plotModelsize}} and \code{\link{plotConv}} #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords hplot #' @examples #' #' data(datafls) #' mm=bms(datafls,user.int=FALSE) #' #' plot(mm) #' @export plot.bma <-function(x,...) { # does a combined plot of plotConv and plotModelsize for bma object bmao # bmao: bma object # ... passes on parameters to these two functions if (!is.bma(x)) stop("Need to provide object of class 'bma'!") if (x$arguments$nmodel<3) { try(plotModelsize(x,...),silent=TRUE) } else { graphics::layout(matrix(1:2,2,1)) try(plotModelsize(x,...),silent=TRUE) try(plotConv(x,...),silent=TRUE) graphics::layout(1) } } #' Plot Signs of Best Models #' #' Plots a grid with signs and inclusion of coefficients vs. posterior model #' probabilities for the best models in a 'bma' object: #' #' Under default settings, blue corresponds to positive sign, red to a negative #' sign, white to non-inclusion. #' #' @param x a list of class bma (cf. \code{\link{bms}} for further details) #' @param yprop2pip if \code{yprop2pip=TRUE} then the grid lines on the #' vertical axis are scaled according to the coefficients' inclusion #' probabilites.\cr If \code{yprop2pip=FALSE} (default) then the grid lines on #' the vertical axis are equidistant. #' @param order.by.pip with \code{order.by.pip=TRUE} (default), coefficients #' are sorted according to their posterior inclusion probabilites along the #' vertical axis. If \code{order.by.pip=FALSE} they are ordered as they were #' provided to \code{\link{bms}}. #' @param do.par Defaults to \code{do.par=TRUE}, which adjusts #' \code{\link{par}()$mar} for optimal positioning. Set \code{do.par=FALSE} for #' customizing \code{par} yourself. #' @param do.grid \code{do.grid=TRUE} (default) plots grid lines among the #' chart's boxes, akin to the low level command \code{\link{grid}}. #' \code{do.grid=FALSE} omits the grid lines. #' @param do.axis \code{do.axis=TRUE} (default) plots axis tick marks and #' labels (cf. \code{\link{axis}}). \code{do.axis=FALSE} omits them. #' @param cex.axis font size for the axes (cf. \code{\link{axis}}), defaults to #' 1 #' @param \dots Parameters to be passed on to \code{\link{image.default}}. #' #' @seealso \link{coef.bma} for the coefficients in matrix form, \link{bms} for #' creating 'bma' objects. #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords hplot #' @examples #' #' data(datafls) #' #' model=bms(datafls,nmodel=200) #' #' #plot all models #' image(model,order.by.pip=FALSE) #' image(model,order.by.pip=TRUE,cex.axis=.8) #' #' #plot best 7 models, with other colors #' image(model[1:7],yprop2pip=TRUE,col=c("black","lightgrey")) #' #' @export image.bma <- function(x,yprop2pip=FALSE,order.by.pip=TRUE,do.par=TRUE,do.grid=TRUE,do.axis=TRUE,cex.axis=1,...) { #,main=NULL,col=c("tomato","blue"),xlab="Cumulative Model Probabilities",ylab="" #does a 'grid plot' of bmao's best models (contained in bmao$topmod) #putting the variables' (on the y-axis) coefficent signs per model vs. the post. model probs (x-axis) # bmao: bma object # yprop2pip: if TRUE, then horizontal grid lines (on the y axis) are proportional to the variables PIPs; if FALSE, they are equidistanrt # do.par: if TRUE adjust par temporarily to fit labels properly; if FALSE, please take care of the par()$mar parameter yourself # do.grid: if TRUE, highlights the boundaries between coefficient areas via the grid() function; if FALSE, it does not # do.axis: if TRUE, plots default axis tickmarks and labels; if FALSE, it does not (consider using axis() afterwards) # cex.axis: denotes label font size (cf. ?axis ) # ... parameters passed on to image.default (Note: default colors are col=c(4,2), default axis labels are empty strings) dotargs = match.call(expand.dots=FALSE)$... ests=estimates.bma(x,exact=TRUE,order.by.pip=order.by.pip,include.constant=FALSE) ests=ests[nrow(ests):1,] pips=ests[,"PIP"] idx=ests[,"Idx"] pmp.res=pmp.bma(x,oldstyle=TRUE) pmps=pmp.res[,1] normali_factor=sum(pmp.res[,2]) betasigns=beta.draws.bma(x)[idx,,drop=FALSE] betasigns=betasigns[as.logical(pips),] betasigns=sign(betasigns)/2+.5 betasigns[betasigns==.5]=NA pips=pips[as.logical(pips)] if (yprop2pip) { pipbounds=(c(0,cumsum(pips))) } else { pipbounds=0:length(pips) names(pipbounds)=c("",names(pips)) } pmpbounds=(c(0,cumsum(pmps))) if (do.par) { oldmar=graphics::par()$mar spaceforyaxis=graphics::strwidth(names(pipbounds)[which.max(nchar(names(pipbounds)))],units="inches")*(graphics::par("mar")/graphics::par("mai"))[[2]] tempmar=oldmar; tempmar[2]=min(spaceforyaxis+oldmar[2]/2, .5*graphics::par("fin")[[1]]*(graphics::par("mar")/graphics::par("mai"))[[2]]) graphics::par(mar=tempmar) } dotargs=.adjustdots(dotargs, ylab="", xlab="Cumulative Model Probabilities", col=c("tomato", "blue"), main = paste("Model Inclusion Based on Best ",length(pmps), " Models")) dotargs$axes <- FALSE # if (!is.element("ylab",names(dotargs))) { dotargs$ylab <- "" } # if (!is.element("xlab",names(dotargs))) { dotargs$xlab <- "Cumulative Model Probabilities" } # if (!is.element("col",names(dotargs))) { dotargs$col <- c("tomato", "blue") } # if (!is.element("main",names(dotargs))) { dotargs$main <- paste("Model Inclusion Based on Best ",length(pmps), " Models") } tbetasigns=t(betasigns) eval(as.call(c(list(as.name("image.default"),as.name("pmpbounds"),as.name("pipbounds"),as.name("tbetasigns")),as.list(dotargs)))) #if (is.null(main)) { main=paste("Model Inclusion Based on Best ",length(pmps), " Models") } #image.default(pmpbounds,pipbounds,t(betasigns),col=col,axes=FALSE,xlab=xlab,ylab=ylab,main=main,...) if (do.axis) { graphics::axis(1,at=pmpbounds, labels=round(normali_factor*pmpbounds,2),cex.axis=cex.axis) graphics::axis(2,at=pipbounds,labels=FALSE,line=FALSE) graphics::axis(2,at=pipbounds[-1]-diff(pipbounds)/2,labels=names(pipbounds[-1]),tick=FALSE,las=1,cex.axis=cex.axis) } if (do.grid) { graphics::abline(v=round(pmpbounds,2),lty="dotted",col="grey") graphics::abline(h=round(pipbounds,2),lty="dotted",col="grey") } if (do.par) {graphics::par(mar=oldmar)} } ########################## # LINEAR MODELS (NO BMA) # ########################################################################### #' Bayesian Linear Model with Zellner's g #' #' Used to fit the Bayesian normal-conjugate linear model with Zellner's g #' prior and mean zero coefficient priors. Provides an object similar to the #' \code{\link{lm}} class. #' #' \code{zlm} estimates the coefficients of the following model \eqn{y = \alpha #' + X \beta + \epsilon} where \eqn{\epsilon} ~ \eqn{N(0,\sigma^2)} and \eqn{X} #' is the design matrix\cr The priors on the intercept \eqn{\alpha} and the #' variance \eqn{\sigma} are improper: \eqn{alpha \propto 1}, \eqn{sigma #' \propto \sigma^{-1}} \cr Zellner's g affects the prior on coefficients: #' \eqn{beta} ~ \eqn{N(0, \sigma^2 g (X'X)^{-1})}. \cr Note that the prior mean #' of coefficients is set to zero by default and cannot be adjusted. Note #' moreover that \code{zlm} always includes an intercept. #' #' @param formula an object of class "formula" (or one that can be coerced to #' that class), such as a data.frame - cf. \code{\link{lm}} #' @param data an optional \code{\link{data.frame}} (or one that can be coerced #' to that class): cf. \code{\link{lm}} #' @param subset an optional vector specifying a subset of observations to be #' used in the fitting process. #' @param g specifies the hyperparameter on Zellner's g-prior for the #' regression coefficients.\cr \code{g="UIP"} corresponds to \eqn{g=N}, the #' number of observations (default); \code{g="BRIC"} corresponds to the #' benchmark prior suggested by Fernandez, Ley and Steel (2001), i.e #' \eqn{g=max(N, K^2)}, where K is the total number of covariates;\cr #' \code{g="EBL"} estimates a local empirical Bayes g-parameter (as in Liang et #' al. (2008));\cr \code{g="hyper"} takes the 'hyper-g' prior distribution (as #' in Liang et al., 2008) with the default hyper-parameter \eqn{a=3}; This #' hyperparameter can be adjusted (between \eqn{21) { gi.sd=sqrt(gi$shrinkage.moments[[2]]-gi$shrinkage.moments[[1]]^2) gi.sdtext=paste(" St.Dev.:", round(gi.sd,3)) } rownames(ests) = c("(Intercept)",attr(object$terms,"term.labels")) colnames(ests)=c("Exp.Val.","St.Dev.") cat("Coefficients\n") print(ests) cat("\n Log Marginal Likelihood:\n") cat(object$marg.lik) cat(paste("\n g-Prior:", gi.choice,"\n")) cat(paste("Shrinkage Factor",ifelse(gi$is.constant,": ", " Exp.Val: "), round(gi$shrinkage.moments[[1]],3), gi.sdtext, "\n",sep="")) res=list() res$residuals <- object$residuals res$coefficients <- object$coefficients res$coef.sd <- sds res$gprior <- gi.choice res$E.shrinkage <- gi$shrinkage.moments[[1]] if (gi.sd>-1) {res$SD.shrinkage <- gi.sd} res$log.lik <- object$marg.lik return(invisible(res)) } #' Extract a Model from a bma Object #' #' Extracts a model out of a \code{bma} object's saved models and converts it #' to a \code{\link{zlm}} linear model #' #' A bma object stores several 'best' models it encounters (cf. argument #' \code{nmodel} in \code{\link{bms}}). \code{as.zlm} extracts a single model #' and converts it to an object of class \code{\link{zlm}}, which represents a #' linear model estimated under Zellner's g prior.\cr The utility #' \code{\link{model.frame}} allows to transfrom a \code{zlm} model into an OLS #' model of class \code{\link{lm}}. #' #' @param bmao A \code{bma} object, e.g. resulting from a call to #' \code{\link{bms}} #' @param model The model index, in one of the following forms:\cr An integer, #' denoting the rank of the model (1 for best, 2 for second-best, ...)\cr A #' numeric or logical vector of length K describing which covariates are #' contained in the model\cr A hexcode character describing which covariates #' are contained in the model #' @return a list of class \code{\link{zlm}} #' @author Stefan Zeugner #' @seealso \code{\link{bms}} for creating \code{bma} objects, #' \code{\link{zlm}} for creating \code{zlm} objects, #' \code{\link{pmp.bma}} for displaying the #' topmodels in a \code{bma} object #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords models #' @examples #' #' data(datafls) #' #' mm=bms(datafls[,1:6],mcmc="enumeration") # do a small BMA chain #' topmodels.bma(mm)[,1:5] #display the best 5 models #' #' m2a=as.zlm(mm,4) #extract the fourth best model #' summary(m2a) #' #' # Bayesian Model Selection: #' # transform the best model into an OLS model: #' lm(model.frame(as.zlm(mm))) #' #' # extract the model only containing the 5th regressor #' m2b=as.zlm(mm,c(0,0,0,0,1)) #' #' # extract the model only containing the 5th regressor in hexcode #' print(bin2hex(c(0,0,0,0,1))) #' m2c=as.zlm(mm,"01") #' #' #' #' #' @export as.zlm <- function(bmao, model=1) { #this function extracts a single topmodel from a bma object and converts it to zlm format #Inputs: # bmao: bma object # model: index of the model #Output: zlm object thiscall=match.call() if (!is.bma(bmao)) stop("bmao needs to be a bma object") bools=bmao$topmod$bool() if (all(is.character(model))&&length(model)==1) { model=(1:length(bools))[bools==model[[1]]] if (length(model)==0) stop("Provided model hex-index was not found in bmao object topmodels") } else if (all(is.character(model))&&(length(model)>1) ) { mix=match(model, bmao$reg.names) if (any(is.na(mix))) stop("Provided variable names do not conform to bma object") ll=logical(bmao$info$K); ll[mix]=TRUE; model=(1:length(bools))[bools==bin2hex(ll)]; rm(ll,mix) if (length(model)==0) stop("Model conforming to provided variable names was not found in bmao object topmodels") } else if ((length(model)==bmao$info$K)&&(is.numeric(model)||is.logical(model))) { model=(1:length(bools))[bools==bin2hex(model)] if (length(model)==0) stop("Provided binary model index was not found in bmao object topmodels") } else if ((length(model)==1)&&(is.numeric(model)||is.logical(model))) { if (model<1|model>length(bools)) stop("Provided numeric model index was not found in bmao object topmodels") } else stop("model needs to be an integer, logical or character model index representation (hexcode or variable names)") inclvbls= as.logical(bmao$topmod$bool_binary()[,model, drop=TRUE]) yXdf =as.data.frame(bmao$arguments$X.data) zlmres=zlm(as.formula(yXdf[,c(TRUE,inclvbls)]),data=yXdf,g=bmao$gprior.info) zlmres$call <- thiscall return(zlmres) } #' Predict Method for zlm Linear Model #' #' Expected value (And standard errors) of predictions based on 'zlm' linear #' Bayesian model under Zellner's g prior #' #' #' @param object a zlm linear model object - see \code{\link{zlm}} #' @param newdata An optional data.frame, matrix or vector containing variables #' with which to predict. If omitted, then (the expected values of) the fitted #' values are returned. #' @param se.fit A switch indicating if the standard deviations for the #' predicted varaibles are required. #' @param \dots further arguments passed to or from other methods. #' @return A vector with (expected values of) fitted values.\cr If #' \code{se.fit} is \code{TRUE}, then the output is a list with the following #' elements: \item{fit}{ a vector with the expected values of fitted values} #' \item{std.err}{ a vector with the standard deviations of fitted values} #' \item{se.fit}{ a vector with the standard errors without the residual scale #' akin to \code{se.fit} in \code{\link{predict.lm}} } \item{residual.scale}{ #' The part from the standard deviations that involves the identity matrix. #' Note that \code{sqrt(se.fit^2+residual.scale^2)} yields \code{std.err}. } #' #' @seealso \code{\link{bms}} for creating zlm objects, #' \code{\link{predict.lm}} for a comparable function, #' \code{\link{predict.bma}} for predicting with bma objects #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' mm=zlm(datafls,g="EBL") #' #' predict(mm) #fitted values #' predict(mm, newdata=1:41) #prediction based on a 'new data point' #' #' #prediction based on a 'new data point', with 'standard errors' #' predict(mm, newdata=datafls[1,], se.fit=TRUE) #' #' @export predict.zlm <- function(object, newdata=NULL, se.fit=FALSE, ...) { # does basic fitting in expected values, cf. predict.lm # object: a zlm object # newdata: newdata to be supplied (just eas in predict.lm) # se.fit: whether standard erros should be calculated # output: a vector with fitted values, if se.fit=T, then a list with fit, standard errors and residual scale if (!is(object,"zlm")) {stop("you need to provide a zlm object"); return()} #get the betas as required betas=object$coefficients[-1,drop=FALSE] alpha=object$coefficients[[1]] #check the newdata argument if (is.null(newdata)) { newX<-as.matrix(object$model[,-1,drop=FALSE]) } else { newX=as.matrix(newdata) if (!is.numeric(newX)) stop("newdata must be numeric!") if (is.vector(newdata)) newX=matrix(newdata,1) if (ncol(newX)!=length(betas)) { if (ncol(newX)==length(betas)+1) { newX=newX[,-1,drop=FALSE] # this is to achieve a behavior similar to predict.lm in this case } else { stop("newdata must be a matrix or data.frame with ", length(betas), " columns.") } } } #if se.fit==FALSE, we are done now: if (!se.fit) return(as.vector(newX%*%betas)+alpha) ################################################# #if se.fit==TRUE, get additional info to compute the standard errors yXdata <- as.matrix(object$model) oldXraw <- yXdata[,-1,drop=FALSE] if (!is.null(colnames(newX))&& !is.null(colnames(oldXraw))) { if ( all(colnames(oldXraw) %in% colnames(newX)) && !all(colnames(oldXraw) == colnames(newX)) ) { #this is another user check, when the stuff came in malformed warning("argument newdata had to be reordered according to its column names. Consider submitting the columns of newdata in the right order.") newX=newX[,colnames(oldXraw), drop=FALSE] } } yraw <- yXdata[,1,drop=TRUE] N <- length(yraw) k <- ncol(oldXraw) oldXmeans <- colMeans(oldXraw) oldXdm <- oldXraw-matrix(oldXmeans,N,k,byrow=TRUE) newXdm <- newX-matrix(oldXmeans,nrow(newX),k,byrow=TRUE) #compute x_f' (X'X)^-1 x_f xtxinv=chol2inv(chol(crossprod(oldXdm))) xtxinv_xf= tcrossprod(xtxinv,newXdm) xf_xx_xf=unlist(lapply(1:nrow(newXdm),function(x) {crossprod(newXdm[x,],xtxinv_xf[,x])[[1L]]} ) ) #these are some factors multipliying the above bvar=object$coef2moments[-1]-object$coefficients[-1]^2 bvar_factor=bvar[[1L]]/xtxinv[[1L]] yty=as.vector(crossprod(yraw)-N*mean(yraw)^2) r2 = 1-object$olsres$ymy/yty if (object$gprior.info$gtype=="hyper") { f21a=object$gprior.info$hyper.parameter f21_recover = exp( (object$marg.lik) + (N-1)/2*log(yty) + log((k+f21a-2)/(f21a-2)) ) #this might be not so accurate due to numerical errors, but in this case the part involving F21 is usually very very small... res_scale = yty/(N-3)/(N-1-k-f21a)*( (N-3)*(1-r2) - (k+f21a-2)/f21_recover) svar_woscale = res_scale/N + bvar_factor*xf_xx_xf #svar_woscale is the standard error without the residual scale (the identiy matrix part) } else { sf=object$gprior.info$shrinkage.moments[[1]] res_scale = (1-sf*r2)*yty/(N-3) svar_woscale = res_scale/N + bvar_factor*xf_xx_xf } #produce output reslist=list() reslist$fit <- as.vector(newX%*%betas)+alpha reslist$std.err <- sqrt(svar_woscale+res_scale) reslist$se.fit <- sqrt(svar_woscale) reslist$residual.scale <- sqrt(res_scale) return(reslist) } #' @export density.zlm <- function(x,reg=NULL,addons="lesz",std.coefs=FALSE,n=300,plot=TRUE,hnbsteps=30,addons.lwd=1.5,...) { #this function does just the same as density.bma, but for an object of class zlm #permitted values for addons: e, s, l, z, g addons=gsub("E","",addons,ignore.case=FALSE) addons=gsub("S","",addons,ignore.case=FALSE) addons=gsub("b","",addons,ignore.case=FALSE) addons=gsub("m","",addons,ignore.case=FALSE) addons=gsub("p","",addons,ignore.case=FALSE) N=length(x$residuals); K=length(x$coefficients)-1 tmo=topmod(1,nmaxregressors=K, bbeta=TRUE,liks=x$marg.lik, ncounts=1, modelbinaries=matrix(rep(1,K),K,1), betas=matrix(as.vector(x$coefficients[-1]),K), betas2=matrix(as.vector(x$coef2moments[-1]),K)) tokenbma=list(info=list(K=K,N=N),arguments=list(),topmod=tmo,start.pos=integer(0), gprior.info=x$gprior.info, X.data=x$model, reg.names=names(x$coefficients)[-1], bms.call=new("call")) class(tokenbma)="bma" return(density.bma(tokenbma,reg=reg, addons=addons, std.coefs=std.coefs, n=n, plot=plot, hnbsteps=hnbsteps, addons.lwd=addons.lwd,...)) } .adjustdots = function(dotargs,...) { # helper function to adjust default arguments for passing on to other functions # in particular to adjust type, col, main etc. when passing on to plotting functions defargs=list(...); defargnames=names(defargs); dotargs=as.list(dotargs); if (is.null(dotargs)) { dotargs= list() } for (di in seq_len(length(defargs))) { if (!is.element(defargnames[[di]],names(dotargs))) { dotargs[[defargnames[[di]]]] <- defargs[[di]]; } } return(dotargs); } ##################################### # PREDICTIVE DENSITY ###### ##################################### #' Predictive Densities for bma Objects #' #' Predictive densities for conditional forecasts #' #' The predictive density is a mixture density based on the \code{nmodels} best #' models in a \code{bma} object (cf. \code{nmodel} in \code{\link{bms}}).\cr #' The number of 'best models' to retain is therefore vital and should be set #' quite high for accuracy. #' #' @aliases pred.density pred.density-class print.pred.density #' @param object a bma object - see \code{\link{bms}}, alternativel a #' \code{\link{zlm}} object #' @param newdata A data.frame, matrix or vector containing variables with #' which to predict. #' @param n The integer number of equally spaced points at which the density is #' to be estimated. #' @param hnbsteps The number of numerical integration steps to be used in case #' of a hyper-g prior (cf. argument \code{g} in \code{\link{bms}}). Increase #' this number to increase accuracy. Must be an even integer. #' @param \dots arguments to be passed on to \code{\link{plot.density}}. #' @return \code{pred.density} returns a list of class \code{pred.density} with #' the following elements \item{densities()}{a list whose elements each contain #' the estimated density for each forecasted observation} \item{fit}{a vector #' with the expected values of the predictions (the 'point forecasts')} #' \item{std.err}{a vector with the standard deviations of the predictions (the #' 'standard errors')} \item{dyf(realized.y, predict_index=NULL)}{Returns the #' densities of realized response variables provided in \code{realized.y}. \cr #' If \code{realized.y} is a matrix, then each row corresponds to a forecast #' observation in \code{newdata}\cr if not left empty, \code{predict.index} #' specifies to which observations in newdata the realized.y should apply} #' \item{lps(realized.y, predict_index=NULL)}{Computes the log predictive score #' for the response varaible provided in \code{realized.y} (cf. #' \code{\link{lps.bma}}) -\cr Note that the LPS equals minus the mean of the #' logarithmized results from \code{dyf}) } \item{plot((x, predict_index = #' NULL, addons = "eslz", realized.y = NULL, addons.lwd = 1.5, ...)}{the same #' as \code{plot.pred.density}} \item{n}{The number of equally spaced #' points for which the density (under \code{densities()} was computed.} #' \item{nmodel}{The number of best models predictive densities are based #' upon.} \item{call}{the call that created this \code{pred.density} object} #' @note In BMS version 0.3.0, \code{pred.density} may only cope with built-in #' \code{gprior}s, not with any user-defined priors. #' #' @seealso \code{\link{predict.bma}} for simple point forecasts, #' \code{plot.pred.density} for plotting predictive densities, #' \code{\link{lps.bma}} for calculating the log predictive score #' independently, \code{\link{quantile.pred.density}} for extracting quantiles #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' mm=bms(datafls,user.int=FALSE) #' #' #predictive densityfor two 'new' data points #' pd=pred.density(mm,newdata=datafls[1:2,]) #' #' #' #fitted values based on best models, same as predict(mm, exact=TRUE) #' pd$fit #' #' #plot the density for the first forecast observation #' plot(pd,1) #' #' # the same plot ' naked' #' plot(pd$densities()[[1]]) #' #' #' #predict density for the first forecast observation if the dep. variable is 0 #' pd$dyf(0,1) #' #' #predict densities for both forecasts for the realizations 0 and 0.5 #' pd$dyf(rbind(c(0,.5),c(0,.5))) #' #' # calc. Log Predictive Score if both forecasts are realized at 0: #' lps.bma(pd,c(0,0)) #' #' #' @export pred.density <- function(object, newdata=NULL, n=300, hnbsteps=30, ...) { dtcm=function(x,df,ncp,varp) { #a wrapper for univariate t-dist with non-centrality parameter and variance parameter # (variance is df/(df-2)*varp) sqvarp=sqrt(varp) stats::dt((x-ncp)/sqvarp,df=df)/sqvarp } dsgivenykernel <- function(sf,kpa,N,z) { #the post. density of the shrinkge factor f(s|Y)*F((N-1)/2,1,(k+a)/2,R2) (kpa-2)/2*(1-sf)^((kpa-4)/2)*(1-sf*z)^(-(N-1)/2) } #user checks nbsteps=max(hnbsteps,2) n=max(ceiling(n),1) #read out data from object is.hyper=(object$gprior.info$gtype=="hyper") if (is.hyper) f21a=object$gprior.info$hyper.parameter if (is.bma(object)) { K=object$info$K; N=object$info$N yXdata=as.matrix(object$arguments$X.data) tmo <- object$topmod } else if (is(object,"zlm")) { yXdata=as.matrix(object$model) K=ncol(yXdata)-1; N=nrow(yXdata) tmo <- topmod(1,nmaxregressors=K, bbeta=TRUE,liks=object$marg.lik, ncounts=1, modelbinaries=matrix(rep(1,K),K,1), betas=matrix(as.vector(object$coefficients[-1]),K), betas2=matrix(as.vector(object$coef2moments[-1]),K)) } else stop("argument 'object' requires class 'bma' or 'zlm'") rm(object) #check the newdata argument, checks are small as newdata has already survived predict.zlm if (missing(newdata)) { stop("You must provide the argument newdata") } else { newX=as.matrix(newdata) if (!is.numeric(newX)) stop("newdata must be numeric!") if (is.vector(newdata)) newX=matrix(newdata,1) if (ncol(newX)!=K) { if (ncol(newX)==K+1) { newX=newX[,-1,drop=FALSE] # this is to achieve a bevavior similar to predict.lm in this case } else { stop("newdata must be a matrix or data.frame with ", K, " columns.") } } orinames=colnames(yXdata[,-1,drop=FALSE]) #this is a user check whether columns had been submitted in the wrong order if (!is.null(colnames(newX)) && !is.null(orinames)) { if (all(orinames %in% colnames(newX) ) && !all(orinames == colnames(newX)) ) { warning("argument newdata had to be reordered according to its column names. Consider submitting the columns of newdata in the right order.") newX=newX[,orinames, drop=FALSE] } } } if(!is.null(rownames(newX))) { newXnames=rownames(newX) } else { newXnames=as.character(1:nrow(newX)) } rnew = nrow(newX) y.mean=mean(yXdata[,1]) y<-yXdata[,1]-matrix(y.mean,N,1,byrow=TRUE) X<-yXdata[,-1,drop=FALSE]-matrix(colMeans(yXdata[,-1,drop=FALSE]),N,K,byrow=TRUE) XtX.big=crossprod(X) Xty.big=as.vector(crossprod(X,y)) yty = crossprod(y)[[1]] newXdm= newX-matrix(colMeans(yXdata[,-1,drop=FALSE]),rnew,K,byrow=TRUE) hexobject<-.hexcode.binvec.convert(K) make_xfxxxf = function(hex) { syminv <- function(symmat, ndim=ncol(symmat)) { #this does the same as chol2inv(chol.default(x)), but is stripped-down for speed purposes # Caution: symmat must always have length(symmat)>0!!! if (!is.matrix(symmat)) {symmat=as.matrix(symmat)} if (dim(symmat)[[1]]==0) return(matrix(numeric(0),0,0)) return( chol2inv(chol(symmat), size=ndim) ) } boolvec = as.logical(hexobject$as.binvec(hex)) if (!any(boolvec)) return(c(numeric(rnew),numeric(rnew),Inf,Inf,0)) newXsub= newXdm[,boolvec,drop=FALSE] xtxinv = syminv(XtX.big[boolvec,boolvec,drop=FALSE]) xty=Xty.big[boolvec] betas = as.vector(crossprod(xtxinv,xty),mode="numeric") r2=crossprod(xty,betas)[[1]]/yty xtxinv_xf = tcrossprod(xtxinv,newXsub) xf_xx_xf = unlist(lapply(1:nrow(newXsub),function(x) {crossprod(newXsub[x,],xtxinv_xf[,x])[[1L]]} ) ) xf_bhat = as.vector(newXsub%*%betas) return(c(xf_xx_xf, xf_bhat, xtxinv[[1L]], betas[[1L]],r2)) } pmps=pmp.bma(tmo,oldstyle=TRUE)[,1,drop=TRUE] bools=tmo$bool() nmodel=length(bools) linvres=lapply(bools,make_xfxxxf) mat_xfxxxf = array(unlist(lapply(linvres,"[",1:rnew)),dim=c(rnew,nmodel)) mat_xfbhat = array(unlist(lapply(linvres,"[",rnew+(1:rnew))),dim=c(rnew,nmodel)) xtxinv_elem1 = unlist(lapply(linvres,"[[",rnew*2+1)) betahat_elem1 = unlist(lapply(linvres,"[[",rnew*2+2)) r2 = unlist(lapply(linvres,"[[",rnew*2+3)) kvec=tmo$kvec_raw() kvec_cs=c(1,cumsum(kvec)+1); kvec_cs=kvec_cs[-length(kvec_cs)] firstbetas=tmo$betas_raw()[kvec_cs] firstbetas2=tmo$betas2_raw()[kvec_cs] Es = firstbetas / betahat_elem1 varmult = (firstbetas2-firstbetas^2) / xtxinv_elem1 if (is.hyper) { first_factor= yty/(N-3)*(N+1)/N* (1+2/(N-kvec-f21a-1)-r2*Es ) } else { first_factor= yty/(N-3)*(1-Es*r2)*(N+1)/N } Sigmas = (matrix((N-3)/(N-1)*first_factor,rnew,nmodel,byrow=TRUE)+t(t(mat_xfxxxf)*((N-3)/(N-1)*varmult))) #by recyling this multplies each column with varmult Evals_minusy = t(t(mat_xfbhat)*Es) Eyf = as.vector(Evals_minusy %*%pmps+y.mean) Varyf = as.vector(Sigmas%*%pmps)*(N-1)/(N-3) premultfactor=yty/(N-1) #needed for hyper interceptfactor=(N+1)/N #needed for hyper #################### calcdensvec = function(xf_index, seqy, m_index) { sss=function(lbound,uboundp1,nbsteps,seqs,xf.index) { #simple simpson integration over shrinkage factor #this is just a convenience function and depends on variables in parent scope, only used in case of hyper-g #caution: seqs needs to have at least two elements! s.seq=seq(lbound,uboundp1,(uboundp1-lbound)/nbsteps)[-nbsteps] tmat=array(unlist(lapply(as.list(s.seq),function(ss) { dtcm(seqs,N-1,y.mean+ss*myev,premultfactor*(1-ss*myr2)*(interceptfactor+ss*myxfxxxf))})),dim=c(length(seqs),nbsteps)) #matrix of t-densities for different s smat=sapply(as.list(s.seq),dsgivenykernel, kpa=myk+f21a,N=N,z=myr2) #vector of posterior densities for the different s if (any(is.infinite(smat))) smat[is.infinite(smat)]=0 intconst=(4*sum(smat[c(FALSE,TRUE)])+2*sum(smat[c(TRUE,FALSE)])-3*smat[nbsteps]-smat[1])*(s.seq[nbsteps]-s.seq[1])/nbsteps/3 #calc the integration constant return(list(dv=c(4*tmat[,c(FALSE,TRUE)]%*%smat[c(FALSE,TRUE)]+2*tmat[,c(TRUE,FALSE)]%*%smat[c(TRUE,FALSE)]-3*tmat[,nbsteps]*smat[nbsteps]-tmat[,1]*smat[1])*(s.seq[nbsteps]-s.seq[1])/nbsteps/3, ic=intconst)) #return the estimated density and a normalization constant #is done in parts because it may be recomposed later } if (any(is.na(newX[xf_index,]))) { densvec=numeric(0) } if (is.hyper) { myev=mat_xfbhat[xf_index,m_index]; myxfxxxf=mat_xfxxxf[xf_index,m_index]; myk=kvec[[m_index]]; myr2=r2[[m_index]] midpoint=1-(1-Es[[m_index]])*4 if (midpoint<.5) { dvl=sss(.0001,.9999999,nbsteps*2,seqy,xf_index); densvec=dvl$dv/dvl$ic } else { dvl1=sss(.0001,midpoint,nbsteps,seqy,xf_index); dvl2=sss(midpoint,1,nbsteps,seqy,xf_index) densvec=(dvl1$dv+dvl2$dv)/(dvl1$ic+dvl2$ic) } } else { densvec=dtcm(seqy,N-1,Evals_minusy[xf_index,m_index]+y.mean,Sigmas[xf_index,m_index]) } return(densvec) } ########################## ########################## dens_yf = function(yfr,xf_indices=NULL) { if (is.null(xf_indices)) xf_indices=seq_len(rnew) yfdens=array(NA,dim=dim(yfr)) for (myxf in 1:length(xf_indices)) { allm_dens=sapply(seq_len(nmodel), function(x) calcdensvec(xf_indices[[myxf]],yfr[myxf,],x)) yfdens[myxf,]=as.vector(allm_dens%*%pmps) } yfdens[!is.finite(yfdens)]=NA if (ncol(yfdens)==1) dim(yfdens) <- NULL return(yfdens) } ################################################ emptydens=list(x=numeric(0), y=numeric(0), bw=NULL, n=0, has.na=TRUE) class(emptydens)="density" dlist = lapply(vector("list",nrow(newX)),function (x) emptydens) densities_calculated <- FALSE #if (!exists("xf_index")) xf_index=NULL calc_alldens = function() { if (densities_calculated) return(NULL) for (xf.index in 1:rnew) { if (!any(is.na(newX[xf.index,]))) { #assign("xf_index",xf.index,envir=env) # IS THIS NECESSARY? #xf_index <<- xf.index lbound=Eyf[[xf.index]]-sqrt(Varyf[[xf.index]])*4; ubound=Eyf[[xf.index]]+sqrt(Varyf[[xf.index]])*4 seqs=seq(lbound,ubound,(ubound-lbound)/(n-1)) allm_dens=sapply(seq_len(nmodel), function(x) calcdensvec(xf.index,seqs,x)) myy=as.vector(tcrossprod(t(as.matrix(pmps)),allm_dens)) mydens=list(x=seqs,y=myy,bw=NULL, n=n, has.na=FALSE) class(mydens)="density" dlist[[xf.index]] <<- mydens } } densities_calculated <<- TRUE } ######################################## consistent.yf = function(yf, xf.indices=NULL) { #a user check function whether a realized y conforms to requirements xf_series=seq_len(rnew) wasnull=FALSE if (is.null(xf.indices)) { wasnull=TRUE xf.indices=xf_series } else { if (!all(xf.indices %in% xf_series)) stop(paste("predict_index needs to be an integer between 1 and ",rnew,"!",sep="")) } if (!is.numeric(yf)) stop("realized.y must be a numeric matrix or vector!") if (!is.matrix(yf)) yf <- as.matrix(yf) if ((length(xf.indices)==1)&(nrow(yf)>1)&(ncol(yf)==1)) yf <- t(yf) if (nrow(newX[xf.indices,,drop=FALSE])!=nrow(yf)) { if (wasnull) stop(paste("realized.y must have", rnew , "elements/rows corresponding to newdata")) else stop("The number of rows/elements in realized.y must have the same length as predict_index!") } return(yf) } consistent_predict_index =function(pix) { # a user check function to convert characgter predict_index into numeric if (is.character(pix)) { if (all(pix %in% newXnames)) { return( match( pix, newXnames) ) } else { stop("Forecast IDs provided in predict_index do not conform to rownames of predicted data"); } } else return(pix) } ######################################## plot.preddens = function(xf.index=1, addons="eslz", yf.addons=NULL, predict_index=NULL, addons.lwd=1.5, ...) { #, main=NULL,col="steelblue4", xlab="Response variable") { dotargs = match.call(expand.dots=FALSE)$... if (rnew>1) { main_default <- paste("Predictive Density Obs ", newXnames[[xf.index]], " (", nmodel, " Models)", sep="") } else { main_default <- paste("Predictive Density", " (", nmodel, " Models)",sep="") } dotargs=.adjustdots(dotargs,xlab="Response variable",main=main_default,col=4, zero.line=FALSE) # if (is.null(main)) { # if (rnew>1) { # main<- paste("Predictive Density Obs ", newXnames[[xf.index]], " (", nmodel, " Models)", sep="") # } else { # main<- paste("Predictive Density", " (", nmodel, " Models)",sep="") # }} # # plot.density(dlist[[xf.index]], main=main, xlab=xlab, col=col, zero.line=any(grep("z",addons,ignore.case=TRUE)), ...) thingy=dlist[[xf.index]] eval(as.call(c(list(as.name("plot"),as.name("thingy")),as.list(dotargs)))) leg.col=numeric(0);leg.lty=numeric(0); leg.legend=character(0) if (any(grep("g",addons,ignore.case=TRUE))) { # grid graphics::grid() } if (any(grep("e",addons,ignore.case=FALSE))) { # posterior mean graphics::abline(v=fit[[xf.index]],col=2,lwd=addons.lwd) leg.col=c(leg.col,2);leg.lty=c(leg.lty,1); leg.legend=c(leg.legend,"Exp. Value") } if (any(grep("s",addons,ignore.case=FALSE))) { # standard error bounds graphics::abline(v=fit[[xf.index]]-2*stderrs[[xf.index]],col=2,lty=2,lwd=addons.lwd) graphics::abline(v=fit[[xf.index]]+2*stderrs[[xf.index]],col=2,lty=2,lwd=addons.lwd) leg.col=c(leg.col,2);leg.lty=c(leg.lty,2);leg.legend=c(leg.legend,"2x Std.Errs") } if (any(grep("z",addons,ignore.case=TRUE))) { #zero line graphics::abline(h=0,col="gray",lwd=addons.lwd) } if (!is.null(yf.addons)&&is.numeric(yf.addons)) { #yf actual y realization line yfs=as.vector(yf.addons) #if (length(yfs)==rnew) { if (!is.na(yfs[[xf.index]])) { graphics::abline(v=yfs[[xf.index]],col=1,lwd=addons.lwd, lty=2) leg.col=c(leg.col,1);leg.lty=c(leg.lty,2);leg.legend=c(leg.legend,"Realized y") } else warning("yf.addons must be a vector with the same number of elements as rows in newdata!") #} } if (any(grep("l",addons,ignore.case=TRUE))&(length(leg.col)>0)) { #legend graphics::legend(x="topright",lty=leg.lty,col=leg.col,legend=leg.legend,box.lwd=0,bty="n",lwd=addons.lwd) } } ####################################### fit=Eyf; names(fit)=newXnames stderrs=sqrt(Varyf); names(stderrs)=newXnames reslist= list() reslist$densities = function() { calc_alldens(); return(dlist) } reslist$fit = fit reslist$std.err = stderrs reslist$dyf = function(realized.y, predict_index=NULL) { predict_index=consistent_predict_index(predict_index) if (missing(realized.y)) { stop("You must provide a realization of the dependent variable in realized.y")} return(dens_yf(consistent.yf(realized.y, predict_index), predict_index)) } reslist$lps = function(realized.y, predict_index=NULL) { predict_index=consistent_predict_index(predict_index) if (missing(realized.y)) { stop("You must provide a realization of the dependent variable in realized.y")} yf=consistent.yf(realized.y, predict_index); if (ncol(yf)!=1) stop("realized.y must have only one column!") yf.dens=dens_yf(yf, predict_index) return(-sum(log(yf.dens[!is.na(yf.dens)]))/length(yf)) } reslist$plot = function(predict_index=NULL, addons="eslz", realized.y=NULL, addons.lwd=1.5, ...) { dotargs = match.call(expand.dots=FALSE)$... xf_series=seq_len(rnew) #user checks predict_index=consistent_predict_index(predict_index) if (is.null(predict_index)) { predict_index=xf_series } else if (!all(predict_index%in%xf_series)) stop(paste("predict_index needs to be an integer between 1 and ",rnew,"!",sep="")) if (!(is.null(realized.y))) { if (length(realized.y)!=length(predict_index)) { stop("realized.y must be a vector with the same number of elements as rows in newdata (or predict_index)!") } } if (!is.null(realized.y)) realized.y <- consistent.yf(realized.y,predict_index); calc_alldens() #temp=reslist$densities() oldask = graphics::par()$ask plotnb=0 for (xf_index in predict_index) { doplot=!dlist[[xf_index]]$has.na; plotnb=plotnb+doplot if (plotnb==2) graphics::par(ask=TRUE) dotargs=.adjustdots(dotargs,main=NULL,col="steelblue4", xlab="Response variable") if (doplot) { eval(as.call(c(list(as.name("plot.preddens"),as.name("xf_index"),addons=as.name("addons"),yf.addons=as.name("realized.y"),addons.lwd=as.name("addons.lwd")),as.list(dotargs)))) #plot.preddens(xf_index, addons=addons, yf.addons=realized.y, addons.lwd = addons.lwd, ..., main=main, col = col, xlab=xlab) } } graphics::par(ask=oldask) } reslist$n=n reslist$nmodel=nmodel reslist$call=sys.call(0) class(reslist) ="pred.density" rm(betahat_elem1, bools, emptydens, firstbetas, firstbetas2, linvres) return(reslist) } #' Log Predictive Score #' #' Computes the Log Predictive Score to evaluate a forecast based on a bma #' object #' #' The log predictive score is an indicator for the likelihood of several #' forecasts.\cr It is defined as minus the arithmethic mean of the logarithms #' of the point densities for \code{realized.y} given \code{newdata}.\cr Note #' that in most cases is more efficient to first compute the predictive density #' object via a call to \code{\link{pred.density}} and only then pass the #' result on to \code{lps.bma}. #' #' @param object an object of class \code{\link{pred.density}}, or class #' \code{bma} (cf. \code{\link{bms}}), or class \code{\link{zlm}} #' @param realized.y a vector with realized values of the dependent variables #' to be plotted in addition to the predictive density, must have its length #' conforming to \code{newdata} #' @param newdata Needs to be provided if \code{object} is not of class #' \code{\link{pred.density}}: a data.frame, matrix or vector containing #' variables with which to predict. #' @return A scalar denoting the log predictive score #' #' @seealso \code{\link{pred.density}} for constructing predictive densities, #' \code{\link{bms}} for creating \code{bma} objects, \code{\link{density.bma}} #' for plotting coefficient densities #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' mm=bms(datafls,user.int=FALSE,nmodel=100) #' #' #LPS for actual values under the used data (static forecast) #' lps.bma(mm, realized.y=datafls[,1] , newdata=datafls[,-1]) #' #' #the same result via predicitve.density #' pd=pred.density(mm, newdata=datafls[,-1]) #' lps.bma(pd,realized.y=datafls[,1]) #' #' # similarly for a linear model (not BMA) #' zz = zlm(datafls) #' lps.bma(zz, realized.y=datafls[,1] , newdata=datafls[,-1]) #' #' @export lps.bma <- function(object, realized.y, newdata=NULL) { if (!any(class(object) %in% c("pred.density","bma","zlm"))) stop("object must be of class 'pred.density', 'bma' or 'zlm'!") if (any(class(object) %in% c("bma","zlm"))) { if (is.null(newdata)) stop("newdata must be provided if object is of class 'bma' or 'zlm'.") object=pred.density(object,newdata=newdata) } return(object$lps(realized.y)) } #' @export plot.pred.density <- function(x, predict_index=NULL, addons="eslz", realized.y=NULL, addons.lwd=1.5, ...) { if (!is(x,"pred.density")) stop("x must be of class 'pred.density'!") x$plot(predict_index, realized.y=realized.y, addons=addons, addons.lwd=addons.lwd, ...) } #' @export print.pred.density <-function(x, digits=NULL, ...) { outmat=matrix(numeric(0),length(x$fit),2) colnames(outmat)=c("Exp.Val.","Std.Err.") rownames(outmat)=names(x$fit) outmat[,1]=x$fit; outmat[,2]=x$std.err cat("Call:\n") print(x$call) cat(paste("\nDensities for conditional forecast(s)\n",x$n, " data points, based on ", x$nmodel, " models;\n",sep="")) print(outmat, digits=digits, ...) } ##################################### # NEW UTILITIES ###### ##################################### #' @export deviance.bma = function(object, exact=FALSE, ...) { #calculates (N-1)*posterior variance of a bma object = effective residual sum of squares # also works for objects of class zlm (and in principle for lm) #akin to method 'deviance' if (is.bma(object)) { xx=as.matrix(object$arguments$X.data); ebeta = estimates.bma(object,order.by.pip=FALSE,exact=exact)[,2,drop=TRUE] } else if (is(object,"lm")) { xx=as.matrix(object$model) ebeta = coef(object); if (length(ebeta)==ncol(xx) ) ebeta=ebeta[-1] } else stop("Required input is an object of class 'bma' or 'lm'/'zlm'.") xx =xx - matrix(colMeans(xx), nrow(xx), ncol(xx),byrow=TRUE) ess=as.vector(crossprod(ebeta,as.vector(crossprod(xx[,-1,drop=FALSE],xx[,1])))) return((as.vector(crossprod(xx[,1,drop=TRUE]))-ess)) } #' @export deviance.zlm=function(object, ...) deviance.bma(object) #' @export model.frame.bma = function(formula, ...) { #akin to method 'model.frame' if (!is.bma(formula)) stop("argument 'formula' needs to be a bma object") return(as.data.frame(formula$arguments$X.data)) } #' Variable names and design matrix #' #' Simple utilities retrieving variable names and design matrix from a bma #' object #' #' All functions are \code{bma}-functions for the generic methods #' \code{\link{variable.names}}, \code{\link{deviance}}, and #' \code{\link{model.frame}}. #' #' @aliases variable.names.bma model.frame.bma #' @param object A \code{bma} object (as produced by \code{\link{bms}}) #' @param ... further arguments passed to or from other methods #' #' @seealso \code{\link{bms}} for creating bma objects #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' bma_enum=bms(datafls[1:20,1:10]) #' #' model.frame(bma_enum) # similar to #' bma_enum$arguments$X.data #' #' variable.names(bma_enum)[-1] # is equivalent to #' bma_enum$reg.names #' #' @export variable.names.bma = function(object, ...) { #akin to method 'variable.names' if (!is.bma(object)) stop("argument 'object' needs to be a bma object") return(c("(Intercept)", object$reg.names)) } #' Variable names and design matrix #' #' Simple utilities retrieving variable names and design matrix from a bma #' object #' #' \code{variable.names.zlm}: method \code{\link{variable.names}} for a #' \code{\link{zlm}} model. \cr \code{vcov.zlm}: the posterior #' variance-covariance matrix of the coefficients of a \code{\link{zlm}} model #' - cf. \code{\link{vcov}} \cr \code{logLik.zlm}: a \code{\link{zlm}} model's #' log-likelihood \code{p(y|M)} according to the implementation of the #' respective coefficent prior \cr #' #' @aliases variable.names.zlm vcov.zlm logLik.zlm #' @param object A \code{bma} object (as produced by \code{\link{bms}}) #' @param ... further arguments passed to or from other methods #' #' @seealso \code{\link{zlm}} for creating \code{zlm} objects #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' #' zz=zlm(datafls) #' variable.names(zz) #' vcov(zz) #' logLik(zz) #' #' @export variable.names.zlm = function(object, ...) { #akin to method 'variable.names' if (!is(object,"zlm")) stop("argument 'object' needs to be zlm object") return(names(object$coefficients)) } #' @export logLik.zlm = function(object,...) { #marginal likelihood of a 'zlm' model, akin to method 'logLik' if (!is(object,"zlm")) stop("argument 'formula' needs to be zlm object") ret = object$marg.lik attr(ret, "df") = object$rank+1 attr(ret, "nbobs") = object$rank+object$df.residual class(ret)="logLik" return(ret) } #' @export vcov.zlm = function(object, include.const = FALSE, ...) { #akin to vcov.lm #get initial stuff Xmat=as.matrix(model.frame(object)[,-1,drop=FALSE]); if (ncol(Xmat)<1) stop("Needs at least one non-constant regressor") regnames= colnames(Xmat) Xmat=Xmat-matrix(colMeans(Xmat),nrow(Xmat),ncol(Xmat),byrow=TRUE) #complement the diagonal VCOV with off-diagonal elements, which are proportional to OLS-VCOV xxinv=chol2inv(chol(crossprod(Xmat))) outmat=((object$coef2moments[[2]]-object$coefficients[[2]]^2)/xxinv[[1]]) * xxinv if (include.const) { outmat=rbind(rep(NA,nrow(outmat)+1), cbind(rep(NA,ncol(outmat)),outmat)) regnames=c("(Intercept)", regnames) } colnames(outmat)<-rownames(outmat) <- regnames return(outmat) } #' Posterior Variance and Deviance #' #' Returns posterior residual variance, deviance, or pseudo R-squared, #' according to the chosen prior structure #' #' \code{post.var}: Posterior residual variance as according to the prior #' definitions contained in \code{object} \cr \code{post.pr2}: A #' pseudo-R-squared corresponding to unity minus posterior variance over #' dependent variance. \cr \code{deviance.bma}: returns the #' \code{\link{deviance}} of a \code{bma} model as returned from #' \code{\link{bms}}. \cr \code{deviance.zlm}: returns the #' \code{\link{deviance}} of a \code{\link{zlm}} model. #' #' @aliases post.var post.pr2 deviance.bma deviance.zlm #' @param object A \code{bma} object (as produced by \code{\link{bms}}) or a #' \code{\link{zlm}} object. #' @param exact When \code{exact=FALSE}, then \code{deviance} will be based on #' MCMC frequencies, if \code{exact=TRUE} then it will be based on\cr #' analytical posterior model probabilities - cf. argument \code{exact} in #' \code{\link{coef.bma}}. #' @param ... further arguments passed to or from other methods #' #' @seealso \code{\link{bms}} for creating \code{bma} objects and priors, #' \code{\link{zlm}} object. #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @keywords utilities #' @examples #' #' data(datafls) #' #' mm=bms(datafls[,1:10]) #' deviance(mm)/nrow(datafls) # is equivalent to #' post.var(mm) #' #' post.pr2(mm) # is equivalent to #' 1 - post.var(mm) / ( var(datafls[,1])*(1-1/nrow(datafls)) ) #' #' @export post.var= function(object,exact=FALSE,...) { #calculates the expected posterior standard error based on effective Residual sum of squares, for objects of class 'bma', 'zlm', 'lm', ... if (!(is.bma(object) | is(object,"lm"))) stop("Required input is an object of class 'bma' or 'lm'/'zlm'.") od=deviance(object, exact=exact) oy=model.frame(object)[,1,drop=TRUE] ret=od/length(oy) attr(ret,"nobs") = length(oy) return(ret) } #' @export post.pr2= function(object,exact=FALSE) { #calculates a pseudo-R-squared based on effective Residual sum of squares, for objects of class 'bma', 'zlm', 'lm', ... if (!(is.bma(object) | is(object,"lm"))) stop("Required input is an object of class 'bma' or 'lm'/'zlm'.") od=deviance(object, exact=exact) oy=model.frame(object)[,1,drop=TRUE] return(1-(od/crossprod(oy-mean(oy))[[1]])) } BMS/R/sysdata.rda0000644000176200001440001373612214273171740013261 0ustar liggesusersBZh91AY&SY/*,A}BBU*@ z` : *%QEEU@{a 4$J*ډh& lA h0* 4@(-( Pdh2 " 04` J2Ph ( @P(  @ ( @@@(@4@  @@h  h(UF M@@ @ m(a (Q@l) @@B$@h,Kh(H@A"%RBR*TJ*HP@@ (@P( Q J()@ Zow!JP`l+@ @$P h(@@( @@  @@ P( (U^{210 l dP e l@M  (  Cjt   4hPP @( BUwI+(:z m@ 4 B @4 @4 ZP P@(#@  )m(@ ZDU* TQ"MQZ   @ ( @@(P P@P% 4@ (@ (h h[4( hT @Ҍ4P(@P(H@( P( H U(J(((BP@GJF * (P (@P@P$B( P(*P(( hhP(( @ (P(@(@($@(( @P@0U)H @@4C@4 4@4M4 L1=&{UPꧦODє0zMyDBI@liɥ=3&h2Sh`D@Lh0*TO؞D`liF 644dLI`# 00#ɩɄ A* & x S)M fa4dd&M2bh 4hbSф &#LM4ɓ&L F&hF&Lix@@&&& ɡFh&4 .>{h͎Me:9 yEΜ(A{?Hl%ɺ XTAG?`B[Fq=4jc7m.]V%g&Z )qGc Bb?=bKS(0a 0Z**rpPAB" 0`DZºߎN](uJEe7In듺V%P ](h 4ZO0}%ZݛeKjd]_+}S5O{.M (P #Fgf @}FǦWa"8{/RNN[Oŀ -H]0xWfLd:9&L'\T$*8kV3#$o2dɓ6]ɕ*N.vw5j Jc8,N ut&gKҡ D(]qS&CIV xkׯYGF(`VTZmre/^b$<!<9:8!dDEC-AsIvBGPhу Un QE^VBcb2WIu6H:XTNattmhu+WPq{={X@\!0Bf7 NJEE8WfΔQE :tIGD;ڦE"ztx ,1G`QuP:D#>@R891g!cUW! Tu#z[ӧ aEf> uז,OM,d J[>I$-%J,8ㄠiI\S%r>!>|Xj!he+@Z Zے Ե RBG(5I!!TT(i2( @I*U*%K991(BzE !E<"8 Iꓵ:G"UB%2jcXzwwǚǛ`<qI&┚k\p;;Cj.no &) Gyn!pi P"JNj^Ye<$.RЂPEF]XX-] W>NOvv X׷9Q82 \}jE[t(QBcOzz!Ꞟ$|?NP}(, D@2zD9|tnRbK6l+UU ʳR H<#L6vh KrJF$A h`wP6[+HHHA*$VUXCuV@!t«?%%?$(OO ܼ+ TtpdQ I+.i*5*PB+ύŎ}*!+FP [X#>dq9 [ݒL7Îc///|5G\xju4^aN[[\K]5m^Ծ5^ .թml30F=8\Fxd>uu>SS[=;{[QPһ]}K+}a~֡"&I&dL~eieL>^5TT8R.@z($"S#\jcb1iƣAM`*(]Tb]1XLz"m ΅#W75\Wfs9p9>9Sl:Cg ŰH A0 cAX`919f6G~ Fb"#d5*!Pf3$4qj3Ft(5(I'@ȭN}6Fsu8:s7幦:퍜͝Q\b`$&""7 ! >) 4; .0Eƣa"4$l2cn**$5~q,C q2F1"5=c!`7Ѹ@#prUϺF'@9:Mܷ5FH ƃ2Hx1 m$(lcq7tkm9Nsdnf7>qnlܧs}Ѹ$l۷2!CA F#ƃ15D(T̐l&&z<AQ$AƬ Ѱz2\ i\rsi9)ĤptӔņn5 Cq DDȳxB6u7#8:tTq7|N},&3!GQaaAp5F2\bA  ~ E"#ƃ!D ;:PtM9sݱ+uW)NG l(,3!ȡB FCذp6"F!1r:9k\#qwsLQG6r9]9#g<9qFtnyA?#2TjBGb H 1"7 c*5`PL ap= b  dAq12 FCBcd3#a\\QAfGE@vAAQd&;"|ap.E HHDqq1A0 <(`.@2 Ȣ@d,= (āH4"!M=՝:Ϊ.:r߼ҹG"*9Gaan&60Xj&(CC! ;1Ѕ#bd 7Da7"qa$r0£R\vCA",\ CQ,C!xBĆCQx6, FDa ?2t,?yf F\\x*&< p$*A):!#Ia1##!A!I =!Ň@d'~(.$Ar= GÁqaBp 1AGXPHD!B$ LL\t1D8&Q0,#d@?2A1q"AAAaXv,4 #jE#DƂHj t*.:!C14!(Hh7(r,lHE z8 EA"A 0b: F#*BC1T &7!BHj0c:)1&oaЊDDŽH"DHXT~!Hq́qP\n(B‚bCѰz<vG,B !4Hj,*<Ia Da!Gc?)EКH!QEa?İB$qg%a"<,v>"H% Z\4$yBX&,8'$('M&p5 zta 1{ͧk7[Kwx9 ?g[tΫNQEQ6g*woX,)^$IdĪ[ډdmbJj2Y*[j"J%,*Je-TT$&XBԲDK*K'x1g~sn/ջOrst*htB-DVV,hjD"&^T0ǴI-&hZZCWkzͻ$UrUIՖrSͅha9obzbm7՛HH­-%K-jhV66VAQee,ʟovo9iDJ3D9Z)g 8v>w{{sM"!1$Kȝ ~ˬ$j!l!&Bv aRD/-([ճsE;*G%"̜̥>4@@[C556\1mťsݚ[9$upBlr\,#EdD@y~ jI z4j; `JB... M\:vRN溶JVPE==5xOʒV;Kn621<v'd7t;o$dz롟yϼO3Pn_"Ae.؋Θw֖ ׅ6$x"*,Շw!?1Kp3=RD9静` W t 6 JaQ;WQ·*ߋ''wl8''/r_22Yz 7`%J%Isd\͠l zotaɾՎ^"@R@;be}xñt׀:\nXo윪zA.vJZOqRp@GGGbu9w=* MYǘK> OZLmEiwnmrr?_?>v݁+ H>C9^Bʮ`OKj\NJئ$]V!-DɓG嵬c]ߵ  1[jNײւ(3PݺaŻ]K8\NTӽ,Lt y:fݜݻ Mff)C'}a伃DG3GNerx5E(=KzQeb Q1xp(-0v3qXaMN~ /ڎ0z@ P,{?Պzt"`Yw:-* jfi ig fvijjJeݾw˥%%Q+h\~o UWrk[4j,2=mm` o?dբgghI:QzD"O ClgsXb|6+2F y D~lUm _O͒hM7y_uK`)X& 3:NYԷߴ}#옻֟վAЊ4"Q*Slh~ǂL $:F &ߦʔⓗ촂o,f`P{pT?29EdYLUiG*.Ԙ:C7zGxGMũ<z~&f|Oalˏ|gbLffBos\6L$1Kdܒ̑"FI-1N5&23" ff22Ac33Ibs7hLIâ_\ͮY&#ZWk:ZYbc$fd^f}oA\sֺ̉P|gFac1 $$ČfI&3$2FH0FHb&H$Hęc$I$ c$Fd `Č1&30 fHY2HT,pMu 1̓ 8k,Wfcȑ"Hf#rOu-Fx&\'L=0￉^W@RaəG9d2qqrnS6}ֳZpkn0 [u-˫ux6Kvej.ivmMJԋZYm&ڋuu6[6ߞ[8M9 m1xNK'%||7[ﭶ՛m.mキVKYMjj&}m*IV3Nn.iڜ.8Nl]33g]R]NF.g7yپmN6oUR,pES{l^-p߇ -ݫj6IRM\ݦѼ]ZjMMjkQNy 31nԨ,ۏe}kfjL]5ÂƯ &&V 6oYo6<l\`ܼwG}\r[6HWN30H2De3ssyMKrr^13n;\?"s % @4PM' ^%L:ChDZJIT ?Ƌgק8bLs_/Lk[h7r #Ux)!#^C@ b2:yUɀ=آUbs1Z~#򑫒&][k&6rИXF*'}ޖ89'O"՟uJ{CRo;Kp/JP*^GO#Lrw%FÙEz{-bYUY?t'`՟[: #l+NHCLqrȸLT IkXz[o~97'΁mqwE b35DŽ_^ldF?iU-VCDžu&+h ..\!O몞7ޘ_[i[ױnrtcqRf[~y.?toI(3=Jz#`!6X.͞'M8lX<ѿJ:O'mF~tl, n][*DZ9fmw1Y亮'<ت)rpS|{}Yw"W]1JgS w}׎7KD߲SLjbCdž_w41\DCVg^vk|ifE+k !}_~5C(7CQK>#[q?^{f +j}DZaOޏvs訯;AKK)ACX׋=NyިTI:ִǵW)}@$ҤZ6⪴ۮ(K24;R@xL9o/Fw-P䇧N$g:~f,,kslʙPģS >^B,zscZ_f^[ S*6:{۝eg^[>/e)#¡!YvYhBz&xid>[+VeAl/j|2ދv;|[j2 ^FG|<\]3SBȸn>wt݅D^qw #VT0X(99y搱[/B [&yzǽdMYI)')gɆPu$HNň>^Vc2{!v`q}/R5#7ﭱGf85{NT|ݨ|7Nq]8' M~ݛZ^[FW]1]heer-4.}Oj5cW#V e9Fۡz_>* |Tz2K _ǂa\D9eKk$pWӝS -TQ*kM~rv+Lv"s~d]t P|K 4 Uwe^ӂk gѴ# RX?j*NSEGKӜYas>>Th~D[C҇ 5y#~{HFZGr]$3l)^珤ygЄdԙwxo¦No񺂤"9I[R7;e`.}?ˀi>K_:Zd" m;?Wǻ$w yax~g|2lo'>~V?N68[>w:Sf\nKL$!ƾyJS-Y7Gx5KVfBj(#Bozzf:N!͙|r_bO|Gvxr擨VX݋͛`|,Dkb5/ۓy-  > bO$yH)C֞P) I(WhkJҜ%iz7 / Eu(CQL=b48*kOP"r5r;Yy{^R'^EΏtUm^ 4'zo.ngpX5V`k_g?z Bm]]mcnhjO !AvL+Co5x4 zi]=κd>f̐ ]AlZ}ϑ4]mM&!RrP^;:cJD_ԧRAx<l=n Prب$h{f yzHNz]83)5bN*}UAѯ -Zt>= ;~]850oϙq^GbR u_LG6>e2*2#h!qەK_*uw!b*iyrV8¼ u|?%*׺|j{o=Z׷ V˗wUϹhOwmgMǪ}s_BXMp_Qrk. BVjGԉcTs^ ׷}O.F4kY9nZm/g{t`צUr_(fC&KkBf (S}&E*m/_$癉@)m?yh* 5Y_% N&&?|+He9a{_!>xA`]yg>L:Ů'\/DƽNGkLµ.21~bmkdݗpmV)Z-!Y}NOΎhb&%;M謯'?o}:ڻ(c|(]4nO_?(ķCI~*$Gy讏"ǴЪY>yP> ;,~7baJ>6 i?MxP2|[(G ڭ7ޒEVy dLӁ :xP~`ޅ>=͟^FlKK1A`%{-g!~hy47"=v[[F v9yx :i-b0dQѸdЄlm!Vsn7wZ65K z]Wă5ήe"ma!XpӿwrU/7%즍շ]̈QF&^{Ook^m.?ϗsp3ݟ^X|6B󕜉E^̠#V5'f)'$ ̋ (hƅcw87oȿ1-^'A0cӿy}Koy:I2?.uͰB^ΐKmOw]9~SMpym"'e !<#<]xGtG.^KAB'en aެ_,k rc |GsHi%CSDI Pt?p x@r(rӺm3ا{4"ݰV4(Ͳ=|+"\So"z5W-(?ges.|eY컍Soo}'azgx^G_X6S5|_)<|r$Mi &I$I$I$I$7ԒNȒI:33)RI'OI9ܒI$I$}Lt؜#8O36sƤRI$rI$I$I${DI'I$I$I$I$N*I$IǤI$I$I$I$I$Il=.0sljNjI$cĒI'rI$OƒI$I$I$I7ْI$i3$I$I$I&L4$I34IM3)$I$I$I$OVI$I$I$I$I'iĒI$I$I$I$I$I$I$I8$I$I$I$I$I$I$I$o&dS2II$I$$I$ĒjDjL8MS)$I$I$I$I$I$I$I$I$IڌI$I$I$I$I$I$I$I$v&qI$^fI$I$I$I$I$I$oc abIfM2I&̒I$$IIiM $3&$I$I$I$I$I$w$I$I$I;X$I$Iq9\v11}ʘF38 fL#ɋ0.`U\;.jb1W2U͆Db Ɉ̅3"E̙rbdX+"dDQ)r2w$('!BC 8̬q>sߦWwG|W ;s4ǣFaHmq<*#:q|Gv'ٶDZOL鑏v?pg<ִu=#Ķf+:WF1^m04~fi8`eCGB *9G5)ԇCcG9n(>|Nr8KsXލ=NZqiζLc3>6͘6VuWQϴ}XJ ex teRŽ&\5 (|B,W׵){^TGp^c\_K_ F$7fM u5Os=(\%*ҼJ;&;ڌ\EfF QWҥ9[|ȑ&iʾ1~%3Dp}i 2ү,jT6lq.s#\31yt\Ͽz5 ""  C45Ȅr8 kox׍x@>$p%?/B'Ĉ} 3){!jb sCglG|JɌ'|v] Ny !%5 }Co\t)ou<-|Zkt[! g@iTCVEImClE9Pw)/e4gQ-@@OXDy z0nŽ%g$jD7 `^B'P ?3u֞3ӿO~]2gm^12l5.zGW>Yҽ#Ž c𹉘C/X갆8B0qVb7xyG%rv^P f>w o G;O?DX S,Hk$$̓$-:1_O3 ;`\DĈP8I>cIQANG)I#5d%>Bݥ, d(A"x؇3(,;ҕhj+PÄ PdPȝ3hmX)=9j>ea 5k%T/dQQkhlZϡ>3[4} k~n-,Z qՠ6B?d-qǸ0mbLPvnPBN%(|Z|z! l%m(l$6ͦAc^ <)y++5dOoe #Bv47$8Ǥ֞c*0f|ti1,#F$MУ\R[Zǽ(k<@H& G=D(yPf9BPb>.HuP[7cWCXلja1K{xGm NgCK]uCtd-AF B!9mXxg+n}[>37}+\:zڿڿTB<+*jD/NCBYƆTJkVK,rUY$jK"9 ˚h*\*oǤh*: ((W/!prЍda,F2.ݕ*)]ỶRrQȇ]T$5˜"6 HՋTsv*F Kn["K!8i L r\ jᩍrٷ D/BNm "9AiUYC2'ؓ(x) 砙Wڨ7jR +)6"8I5Cy$jPX!, <)IjTƧ ![u@BwtpW/3&Hl{V5Srp*R@ j >8lī.J؛U}S֤‥9JE"݌|i!qܦM~H{T1Ou9s&)*.P=DŽÇ<`,tI2H2D""$I$"I"$$$(rGNzW1˿}i<֥?EY[1ĘI&$$L 2De2"d&!?EsxGtXwW>?0彨,L6怲,)C_!iBE 6C\FQLL])lȟ3ր_;H҇ 9 R *)~0޺"'OZChn۪m읾5}"uzPݱhlCjh[l ^c( WFd7+QZkrbT5q4~ )MTS +=7 D=Q9jCڒ)o2!;cbT C{8>$ C\PwM`9;Ũ*ɮʛ$Jjx_IdY[yi$S +~22)~-QULNݚxw$nC3gqz~hėP)j#њP_Ҿ-ʪ%,IKKGZu\$'n(&k{S{M g6 hȿ89z+$.?5]b kI$3S5333:T3301fڄ̱cߴp,ffwró |6!Ky@ǫL믫\S;<{:FS~ g&vq3jdǧv{![S"RhnZHJ Wlt|t>x=[e~ƃJD7b N H9QΣ.JMι4!_kF/HْA"-H1p!l!RV Sh,Z3hh4Q *e |h%ݺZ6<и HW ! $2*sD>)=BOjK!73qNPQaض\E?6A[5X޴C׾>D4 * fE)jD*%p}|4V+p!>QXIP_BR(A[|y*JnAi' 3j:ᆭ9 }-xD 2|1hgu}QTkGQL:(5D;ͿͥCH N^t#dʖ"yBiY{ %=@zeC^(ȇOՕ%J! Z܉zWGCcK)CrQ ?tjdF4c*S"T`Fw1(?[$A [j0%v\]W " ҡ1)#~!N]d=Ai6!OjM[(k<:Hkej[I&[TPuIY l| ۆ4fiJ_Z5Ap^"삩;H)[ՠ:i-cu}K :(*ÃCMu +]UT9 cP4\gӸ8⠼ ;㖉ZҤC{!3̄qW!nBdRPSD4z >#19sĻ$tP)cUq X' Rh]%id̠:OU @JeΡ.w9vXv>$1Se߶Z$ З&%_И$6CVA]u9t#컨Oq)NR + Ȭ9NK$[QfТic}?WƂq'M fOGҩ"$J䴈lBhAH-IcfkR&A<,* v.I#$!,ObT6Ap4j'Z#Ti@ضJ_kIc-IeE+K΄?}qB|8BD'ڄKO -nCS߳ȅ$PD4qkQ1- ^aE pqWUͺRu]l<*mڋD?F}BxM)Ks,"y" Tڡ.H¶ikw&!$B+(tPj!=pݷD.A}m!SP!kk`H++^!>%AmGr%OWZWGE Zo I_Bp>CgEFCCH& [@` 58D>BJ(]DO* \ΦK}5qPdEفC6J|ˣA[FOmJ-= ΣZuAN_%s_B2OBUctQUj۶*LchLn!տũw&ij3"P$/Rfq 1*ʰ!cQ [&:!;@^A:MD7.:nj֦ D1j %kBAA*N"#tJBy&Pe 1lJBStyl\i"t%UIiPdͳB~CRWe?RfP>Vu~BI&! ZQ)1( 82>Z$C ԵM(i á[|jڭk[2P6Qh CILBiCn] :"1)CtW2_5 dpVϷM[4LڸPQM%E|KBUUEw2 Os{~U?0` T.?nEPZ._la6m30<:`m> YstmML֪N1ydj3#5zwl"lGWݢQ͚݄+2"V\|PRץ.n2(ǵgT5u=W޾7lС<+ 2쒵Ȳ4->%ũ4lz"_b,5@߈Kة-"@E<+Qz4sNBXPq[y%3KDZ=CWU 7~"!1-[̝p -+>-.cBK/2M P[]IdP]ŏiϽI Anŵ*X6mP{T':ذUtj5{ʮ]g;嬣1?׹WV|+ҕ OQ&++w#]M>OR6Q(c0zlv })+hz_j'ݠP1H8g.:!a_:?E.ZY{W(qM/2=3x]Ovv76t,ׄC7ϠL38}%&|!3-2%3BsԷ;!4? *OR=|AK'a/FbV^wqB \@aChX3L)F!2((uyLywPOrЕ%iBD%.B44`-uPdƳE-GZue uq oS[=B{47HAk~#n #Ђԕ} jT'vPI |h'u51|PXG1Oj_ֹ;Is㞳srQ9yF0 > &ݤeJ x0,\mC+n;H!z JԔBT2(O"1) * l{JDBHvЕ6-Bg}` @y\e O@_޲ / zYmzRCĠ7ɲ^] hnJĮ+qi%xnG5rY纘!%oWB`V C| @m{W#4 "UBKP%H^ZSj)܂d"IRX8 !~vT @WQ TA~b hJ悴(<Ơs&!9:ni$c݁V_EybٽB! =NKtJrp'ʞr{1 9?Uc51`Y-"ٶ7 zԪhlW7%ieFG\ ?]D |%jNQ} o@Wy iq'@Z }ʢTZ))x 3n3CiKQ H㼮!I[ԠyA{ J}ϙ |* T'椈OzT "e(O PE7jcJ!=RPh*)CT`1zʚy\'Āݠ7 kD/r;슀f/ RF5l{P+jLP!L+s1ɲîA|ohRO1>G7u`7-b~뺂*J!4kt!gG/%nSyAŤj; 0*J *:>ՅEꆄ,b!$r!f?OKC}P"TΑJ$@i ORE MBGQnCCD4΂;(o lD5GV$7?'UNX!hjID~lAx7ת ܌c_RABBDnoP, ?жHd9pAzu= k ,Hh%hpУcʌg"_ЇGX(܂ 'm s vʡ^B6i,i2>伯s)H/CI硾cChS\JԳ;;"RVj Ŝ ߅ 5#AExzN(}.*p =F) |}#$S\Ӣ^tA$O~"!k}m+̀嬉D¿'0D>of'i>t4!J"SD}?ކST~,Cpg | pg TkQ $Q8ێ@yFC`#\( !()$ K<@p4A]Wv9 @~S!*PC@#KZ&j"rMWf.+sUΚ ޥIjzv((+[+D7iVM.O͑}JJiZqnP\MfP4{q&nOoPZfN6e;s J{3OyXGyGm5\lˠKJ>(/ hVD%U݂)H.[Ӯ(jٿ ((.B@㿕 GtyӮ͂N 3B@lե:D=Ogcd'ƻ78꫼ 3O`ݧ"\TXm؈L$ƃ +duD!,C1(ov}/Q6€kF4M"Xy1_Z?q hD+: hĠڟI: NSԊ]_s>\UCR$[")OPW-})CP)@O*O!\D:ɋ1H[ؒ+_M"l0HK{.r@5iĂeKCwRdB.{C;HpSt!D'o?AL$pH5_Ѩe8AaDϰJc*p޻M+뢘u{E 0)x\ߺ F0A)'2p$d' ͇stˮATfƃd&,o S5g $IL"&7.n %X_* ?umCDo%yu'){D7MR3 /hqN.9](?-+%^7»3 ,y.HPTfP6FaLaDH95Hl+LRD6YA|o}ja n\$}@nMND6D!2 >a!r oBGҧi}fP_;(-+VҾCIP^C.(N(J2&%@n4 UT4)k/δ&qKh!D^àw2Dv>c"toZpuٓ3L/[ޘ g@>1p|gG''H_uwtk!:f A}z8SX܅@Ds"g@'GtwE$'|Oʑq)FPx2Sp r"9@\j5ueaZP%Q\t%8~w /7O[Hoݵ`_ |,ή΂1iBݨڀ1cGĔ %:$K߹d;"(xIQ/?3Xq3q d Џ~3amrGk_@Ej*!<iROAr z֩D0/: ҤhLbhx-I?T'MHMAuSL8l~3l;CImI|PBQ֧jD1"5`I4CliVMBWIUJwQ jtK%lͦC갸ȇePay솁AjuCX! BGE"xڄyjR7)b3nrZ)h*Te_3?e>Υu$s; λxߧֽǗWdZH 7nݻv͛2c Z잟?:~m f&Mh*ex=,hn>%?wySVuK}DZ1^b^5JH*/}8â۰H/YPZIRUiP!vdSzҽ mn~#(>f50"f@*;~i(L-'m2E!cu}¸ٻsҳMVùO|tɑZ]tHz͚^ѾLQ?4dG,,[./b~zS^mGF 9jjB>=fӒ%KT6VqW N5y(JMjTxG]c_@SD%3?i{sžxכy1k{Ϋ&nfpoih̙Kn]?1SO}ڼ{7iFvDΖ3;=\zU("/ށlPmH9&1̚sT߻c5&ƘmL7AP@ptD]d uw7:LS'ρ}I"4ORL<vQdI冷 EHW${I$%h%q5(>* k.$8BTobvMmIԴ^MtbE)(7| J&-T!9~L,9eVĵ7V-HmSAw`y䴧h 45LQjڠ0 ?A"^U'`w(Ȩꄃ0xUF1h׭.)ʽR6ĴW3{$H߹0lm1(k潔rN}GWWR^M!|㴷`87 Cñ ~?E!':)oc̉Y[ڬk ˽MzԗΏn֨ X%q*J,I& :*+HK92:$i$T(2hA@cE}{%KQS# oѯqhm֕IFT݅N1#Zʱk!X_3T,)*?{*:p71J1l le)W͹~Lj_?1Hg+D8(?>nfUTE0HObއIyБu"eӴsr8k:kԘ7hUsPc:G qcG?}L:yIӡFr>csGL:gxض8 K$jKZ :$OQ:PT'.MbڴuB^ٰE>2͟S5M[T-񤍳B>7'ԁ*N=Wyꖍdːi= P,ԕAsdܫ S8=-u`4Uxg3clr-9M٧:7ωrݵ1F7qUԙaW'!XmOO]^u qM v$1`W\t 2V7 {#+  =X|6OO_C|] kК|ВK6-ow&HLhreNaQGSWw1f1cα;i|ٍqF!HE*1c5L13g菭˄/v«Sl'K]&MMYDqWaQYB:v桮E8!~n U-G׍nSQ%D-kx Vi2JZ'-.#cRuV-|:$M\TOLIIGC M*0Iy8IFNt<23c ԑ$3P!ڐa1fy>Q&gG:Gk3^3;W3?y:qD!WРЧ ?>׳NkG":xD|>*sɟ ',*0ԙ7h>U$'Ԡhc#=z< Ď;S3f7m<^urJMBv'tf{QU|˚px+E@u*JR#])AT~4d:z@Ũm)O3{B^=O3C6[QQZrS!24ud%3Bسk~"q*g+^ݴ!t'Q{DS !8fQTmtwVistU?5\0MsO:NZ#Tޥ\yul >W neԗ/l. n#k! osVxxC`QKHǮ)Jlsk'9,C\quSQ DZ{$ˆOj6 $Ke ]7.OK$ե!õ<-.Ϲ3dZ噮Cڴ$oݤGnF1\R9qxmMmUrw ] vYzwf=l3fJ1k :?MFV>4>Xs!g~)b4뚐/ Xʷ(oUwη-UȹTT:x*4S ¦jYWDLZE"+yI^Xo6gFR~c Bj5 TLKG92XJfūj5IfJ\Mta6aL\u$N+RuRR`{Y67fT 5%I.dh݋wt,kCB"?18Iè~qO9lb:ŒfM)1@^wIG҅XSثm{X3(2Ikfi\E5 Ά*n=u|K[-zD}U~?W}0jbͼ̯r"Gժ~+n)dBxL{P[WV kX#Ͻ |OX?I\_~?^浠Pd:U9= Fu[,8v30 ByC3ƿϼ~[ԾCZ}y#33>"gѾqQi1>z4@F!0S1fgLugpO$<2)FYhþRuIixuZS&y giF}3/ 13P{tt״/  @Ħ'왿QD>}/ #knZۻ>Y]H*9@&H u=jt|TTT9WZvı2L2U6YG KaM~RVTF'(pCK67m 2󨭱I?Ь)r4ej;؀jq'a%w^'NܖiH0 %:mg?4eAhfR[iRjW-9cT ͩ4'icuŕHD% oHYͳvXYsؕ|.2ک *v.-KsҽeO'm\tΩ4iԖ. *,N򜊸_~-Sk$H8irv׍FTG[}#d4mYY짏}EJW!OQ/}jZRE`f-3z?IYIv=^Tcho> %3~h5LW]ra]>H\5gDaMRWIyJ>GʋJ5{L򚁎rۗP>gϹ 0kZͪ1W?f},;|8ƤLsnN1>ˠ(uPnFm{˴,EܘSP?GҁJipV%fyS?CZwoy()B·ZAfY7W\O-y^A()&KPȷEDn88F`뮽BKiӼo9sWͨKw(K&xOQD9c"8KGKӹ(SiP[mQWѭjCfYW P~Lؿtj[srڷʹjK,PP5ݠuG5}I%]`UqMB!*Lc̢0 lm-H\>^u=6zrԙoֵD%i'!M' aZFUFivi򒔼*&L \UXU)fc1Pgyc1~z׶uw}KLоc%>Qep⟪R |ج+T&5UsxACG$HdO G5;=,gR(sTSH:7KL;buzQn>qlUO]׆55jb&5ۊ8kf蓦j,f~~J:&ySwVҶ,j@ӥl`6PVi[bӭ+r/DT[2YXI M%QX};Ooc۶էxgAHmU%;^[+l3-kIȪ-Ȼ7ټA @}[ĭ/bՑH' BR͢W-sHRVr[[qA%zdݛMQdv9HqEN+5ϡ/ J2-󤽤3I ԁ@t~C ̮#siWEdU K\ijvu`J GTm>%Vt|I""U&,ɫ~ OOT|m\ܸ%9C\u8kͼBܻ H,+ $ZBV,rW}Cr5^D|5cxtNL63KYUJ4~IhζZ\6akN MYyv}-\8`.12G-(oEh|V$Y[F"'Iq]7#(hof4tץ%=}n*O~wLޥ"=U)"b{U*-P#lrT/oK25x=6q<-pd,ɣ&ֿ%aUA|ɏԠULB=xGN_dSF8Nʶ,IÜ޵]^|isxu-\TnFe4]_CSֆwwu5E6:I4 }zYb}ާ6eCJ==s1gu]o)s{-,4";4.5ts`AiZ!kTbt٢Z=ML7տ4<Ӷd4X͟P[-je')m_;~*H d˷ R̼14+3*Y6=h/=A7"N&i: 9|h6Ӣ6<|(Yy*{" *aڵDm!r*`8L2w*bcS!N}k[ ;*rUght+;՝#wmO}?/.g;b|ɏN)<3dtHo*dA_!YG'Tlp!MTVf9k'QOtݳRgvV|hܪ1[x[y#U^!XYoQVz07:| 'X`FgHvs<:9~L>~jâU7=o>DC\$4- !U| KM#T6)ʧ*?*l8n˜6Ukv(Uֱ:̂Ժ/b(t/.C{r,^;LҔ;h ) 3.ftI_z%$Q:=K9J!ӦՕM֕"W%~Oz$5d&Zեc\ Ӳʓ(OhNC|bR̭; *i =zSz˱⠠>@mdRȈM[ygL_ل+޶㞼o)KJ'*sP&y7x?Ms1ǒFc33=[CL)IGGР@@ #d{7jc@J-Q*K2Э:ˢػ3Gh@Bڷ+*$>wq!zW&5qR^C"զYREs祠cbG'YvumQKƪC,iLBSBF"*@0k#:6N d$.©bx}DF6}s'ȡ)ͺeb_#R5hHwm\YɭnBQc-kR-IՇnKѭ,CV2lJ,ʺ/!_Peϐ"7xѺcvu,M~ZX6~ iD:̲j,I#[y.ylm*lZ@գ=NrnRɋnq se So:H!N翇, \9_WNɿv@9l+钾Կ/ǪA3D6+Q\RA "(ihψQ:oS?!ۗ=";\_xWBU2]tgͭ-\y!nF42,J+c$+*/+=}}NS,;9Dڼ|oSŶL_}i؅/Sm}OajYeA>vq_4 'ؾ1c?5k&H 2OKCV/+rH'-r"XgHNZpF*͢5}뛸0Mگ/C`:*f[`,LgާB$0-tW&}S"4(JyNF(.^E!FHؖ$rVؿyhe؆5WK9`V'֬'Jk;c][Sf|4>I`L_+ŀE5:R]/ Z 7 PXO^jrҎ( ڧKZ"NHU\R"?>F}~~ $%RRbuEEwvgF- O*v˫|+")o2ͣ7[КNΰ&O_9 ˸+ x)k¶2>n+2=k[=ZYUP:~+ :1r}qM#Y業lZg$ "t'޳1]#0dL kk:IY0Cd\"",S&D$1c1a! H1 bLbL3HH"I2I"D"dIId"b"DI"HD$D&DIFD$"DHL$$$$H&I$$!$I13"d$"D"1"&H$LD$BdLI2$Ld&H$&DI$LH$2I$2I$$2d2FH $2dD&D&IdL"Ld$FDI1$IdH$d$ȓ""f$2DHH"HIfIfI&bDfHđ&L$I2bI&I&I#$HILId$ĉ$3k'͘33;f?}?}Ý9s|9co9&V$b)3FCmY)\Z5hgm5gM2'VGƽ lGTقwSiZZtB%K@KY\ZViLWIRWWn3MHs~ 4_z = 4iT};je!QW_K"!G^`02i1STg'ɳn78kܠ2H Z(~yEXQWQkյY#RTs׆l]ڗQlo$g%slI^hR%Z^q =VUũK 3JE%L}b,㠈 hT8m|-pffCtd.BB`uj/J~욀 O||L#Է(ۓ|,S\V[T:S>9]Wu]MZaOV71͵ʶ9 R䫬C9#%/<.JтO_J8 b6ߓnѡTQiOބy 7[vgT٭Z+;/Ġ)]<]8fDe73q $ ;n򠳍:>ʋ+m[.R XގzꤵTFPkp#."5mSRQZ!vI+ƽRƇqSD2Pԉ,a75Nަr\h2*6"jC;;&noQ.~U ɰM_/8[`* ‗+\lc6R6eRJ~ϩIKwdHtu * x=Vݥ-VьBt1ب&*ZRk] S9pY$%dZ$D_!}[ϙ"yz<%R ôq)Oq^_YuJŨlBX'kܷmeVFUR]`ѱ -$k*(:aǂ`igiijNQ b^˩ISVgŤhSϝګ=5z0 [ l]\UUHt7IpT*49q +n lTKZY)cAdjaWu^tTWz#hv̠rd7%t[% 6Gcah_BFKT߰xmلC?*ʭ2.ĺK.+([~i Rʻu/f4qhU - D7~D 㺢/\ dkvi2=Ooh-ׅQ_E(NhޢF I E9yx#UmRاy(~ [VP@ţR'2@1*jֆɨUMTL棪n"! #_V贮˵ͻ ↣KqjHdօEX*|J7%t_Զm[+~O3v|,}aL\KJjkZ56*TNp^=`[1C-ٕ \wEPK[ү,μ,Jmt&+WdRԳi-\7(}n^KOߪoxVn_M4mdKEŵQ\8EM)/j*FzE!|m:]]IWgBS%X| rjk AF;@x$i-HYݦ\Xа3[Ĉt]^)p|jeAK2*|?bDr0Y%R{ﭛQ~ڧiA**!qtRb=nDy"UcZ&%9nd+h)CػN Jm{vǝWqyx/7Z]Ui?v}@nS) u4^U-p%GҧL,pҮ5mH\֦EI5u;wĉJow{$J%nz6B|ǫSvYe_k~*"6zkB&^uoܕcUEl *q@|.yU ׾Չ7vyqrS7.jм(lH>40UإMKVuVdjj@>}Ҏ&2+%n Sns\d.b#9uӎ @hm' [nv)+S߂_]'duq_D_T}bةMk! ױc b/(&o}(h6 sx{L9NbYtJxbn\8l՛6LA wpxJ}hX ) CfOKZҴ\E!~}+hOux7UiWѪvۮJsgh;Լۆ[JQ׉Z{iL~0H~A\Kt-IV95^݆uYy~hէ)#5xy(oSD%)AnUC]٥~gQZi[Rw3 T/n[nvY2]WUvH\gusVǁ a%%.W5qqYV6H'n64Zx0,TD?s^ď?&56o3UW5j KTgMnQT=i ;jRhTt^%,9 tWizն(/XM|kV>t/NTZ6Ym_*lc&`+>Vtٶh~ Ѓ[]jաMMWMc|Icafo[cZ!0JP$aDB([A. AJ)bB#dyĶP"t|VW4ZW2 k1 ja!_*T #xBi EvؕeDqÍm#@G*lj; s| n9vMDk/-tߩ)ƵIлh՚i`7icD͖Sd?L+ξZ²'.:~հ{UVo:~)2  t}**܌6)K jF YUe | Ԙ:)S%"Zh(-t. nbǟF%sQԈd t7mz)&iip>΋ivmOzHSz J{~΂ZNb/Z(H!e[uVdzcg^IZj^R Y|ƍSZͮ]4sZ%eUzvᅣ-.P<-f%k.*hoYݷ]_?%5E :HǵC{y]kh˻$F3p>Ude;BX*>!|I C7f"/LRU eɏ_IWtinNQ b_9nl~+b+ `9<.…D)EL˟G3H`fH4Ux|fڸzQ$@nM= 7 -} yEfi_z鮊KҢv_BSs洪Z4B=+=I2ͼ/LZE$c"nM0ɳObA}Ӿձ@Kj!Qw\Ͼiף"Z%y6\;Mʎ)/T]Qgim\[a.YGw 'G pP 8mrɤߋA6͗oG]Vuu>}KYT7kD jL- SAsМ< U={t9-CP1*ƸTwbY* .,iFV$qSe|ڒ ˚iW5I{yXUwE]vZ·?ĵ(,CUA0iYՁvZE<~[!,M5Dtw2) [w9tZ4i}E{U8/Ui E~sT'2A%0>Mw]~qW~ ;[t_S1 jb@ݢ[Fik¤ \?mu#}/}κD #.2%|T}&Vgܼjz%I]EeJp_ÔױG^-]_ڔ6dq]]pHMUSKv5Z¸x 41;2[GC@ެu1E0oQJѵ~miSzbыk)KXROb'=+Z2$^ؔ5#w8..[o_R&NΝ![vޕݷrVTx scb3'm^e VW7$WsPZ{̣42J]@aXf;nBv*KJWU"PkzߡJTI;J g싆'm]!J$s4kL [,A[WEp\PMjVup_zfQqB;$3ϬM S*钦/c<عl*|"DMWЪ28 < t ~?V8BBB)-;]_[l%I^ADȗ-l̼O2'}o B2'eu4FU (q"f2/RrV9^qoV$!~b5!_g*>!MU[4ɟHjcf'|YД Y[.,VޥQrҬIu_V#t_j;W)ԩ/ջc3C\dKa_P׵G׆!pY֧qH֙K7㮧8+t:#XPZ%t#K5ʎ`]Se,+ewܟ1]=,l>$}!Md"-|;̤)D4"t7En}>sZ z@V3\yY\;p5st+oq{Gǧ.)S": 1 Ko4SgRiW<7ATnsL̡OMbYaWۇ$$wf-;--·6~[٘%1ϭl4 rJfyc+j/kJ5 TN Ыb+Mmx\qYMmV jQTW6M|ӯLR ogPbDvx>?y{uM(LuEgww_Xz?KPюJ}$ 󬫦 R,˛ʑ/l䭗cZ>:ozrs0L<+f~k-;XИ]BH R%_E=E>ⶡ |%ťRWtuMarg̴6 +- :x+Ji\*mgȏ3+(Xz_*@\K|£Z4գPSɧNip}sƋ]Vw}1^F d`Fm5=Gt'ԉWsT5?VM]Eҩ[Ph>‡W\TTSzׅ-\uA f^&?ތE4h q>:-)]ʰxT2F0p~*˦oQi+&% š +P+i"%󐘢5jbצloooTWޘ*ˊ%^R][՗L'mva]~OJ~Ҥlz|+ԛ݀S~ v;|4 $?vWm: sp܈.S;,{FSeD9S](9Ume%~ 7`ǵ/\&}cyX[j"T7Sg(^>M_19P%!m_ ~ bcUߥ:H71O(j JF۸pZ5}S8$ 6L[:,Xʡ+ʵI+|mʥ 1dݬuTKj5 Cv̽ *Wn0@nw tDqTD]Γ9KҾٳ ˂T)E>t5rq6]hzSŢY%IPfi)D&Gq q| ˌ.OxdTF-Z[HGЪishӷ-NUAZ^[,l:ܺlUj85&x%=!IE?5&B,lhI>B!p=iZ neƫHڊ/J-fd Lؤ}GXWu٤NΈOSksOy2 OPSTۺ%2`RD%5,ZXlb62>)J#΢l$oJ[ZZK'1jic6M} :귺2 B5|Ddl7*UZJ9!zmьeGiW-8iD1HEXIcb\ЙvRV[z\'SV6i"7Κ=LN>EtR$NL3J$_ F9 ;:$F zRy &:1ge)*pĥFU]^W>1H[qfLUL.O]赿dc6?uye䑑xVVapMTb1CPik.%n 4)e4nNtݫ6lٳf_W=I`}5?|cHUSgeSOuauъ3^NmVcF1k*J3h3.񦊓; Ƥ23f(LswߊH7Jb۱:Hy_W&9HSԡjJRU%IcTZxë8}N.yE**򘩰oiPPh]4 "X [>7WUuz)*zW"@>[TJJ1LSSָ 3m`޷siL3 #^ĭ*>D yTE]L_: bz.f*b;MZo_yٴũR |.o3`Yq#S\TvUrvO=DVݯ|cZ1q?JB:;SԡT4hZ䯒:$kB*)",b~h,󺺢G+E⑑ Xz98BUn/j k|"zDBEIH_8ϙQӈ{ԝi_OqOT4Rjץ?!3Nʵ'(a>qQl;lUxt pi7 L_>"&A>T?L]jy@k9YI_HԇAE\HQ1jl- r$,J1 Ƞ(Ȇf]"ZA9BkffMo*I& {4}'KZ4/p[&]J'괊Ȫk2#J !gƙzS'UQ[t[HE&ƻ?J^yd>E-lRR\,jE魶Jq;QA8 H\t7&pƙulAt8oJOlQkDD; R7 I{9"zܾaKIRxwսl ӻO}ppP܅jZE ]ĥkI扮V'+%F?lUSxWLZ~OK^WixPu =y$S>eRE$Mp ST5q}MI3jУ(F%\[w'P9s>#l9nb&N8;NqکK&H{uYPCzuMZtAUܶؕ!OF)Ca a0g5*39HHS'gVI3^&OB*JIn7}_w묍JY*a)>llݬUc_cxgwxّd՝lRjȻ ԫjśs\?pާ-' p1`Xd[~27N`/,ظ/є|UA~F}Jj:>7Z{3-Xu3G]fyBmiy1E5qDM2p*j.(E."̮=n{bBm_[DsԍSY7}C^RM1Q&vT%}EBad\v~xͳDɬʳsW,Zթ/ʚ܊T[GKMSٌd_¿tK<4p ^2 S$Zb#iBhܼCF'#. ;)߿V rbVF!tP;Ly2o5.ж>GLjϸmHʽEk Ҿ1,ȱ~/*Bo>W-sgN:./<0/BTvuM^t8JΆmCʴ=:K{^y$Lag#ښ. A`be"W$siEv֍}kx.hVv5b;D6 uWF0-R^iAq_:Ô "):>,\55~yYnTD5W}'JdS% :!QyE\YK#ZŢBRWtR%οj:< l5hL{-΢?e f[sTPTūn!|:"!gVZ^j:.NօP_°3̺z/ :޲= cYF!DGV1& M;SlI2@"zAջ/ ߃t 4hŋ,(jOE=SuT9Wk&QK歷Gu"~kjTFqiސ"j2`WweE*(ʔ<ʊ5)J7(t3qn:U_ì`E1SqYnB2Zގb[8Z]"$uge\R\_sNƲiy}*LgI|yYNu ?w-G>eX9Ұ1PdEW c4$ ysD6R?w}V<㖮.wsY̓En*˫F*nl'65㺩]iP{Mx'mm]G䕕iu1(>( {ʥ=a&{Z+}Ł*ZbD<3_Ѧ))W⑨iJwܤ,){.nao彎} 7Q0W{:gRz sn7B05NZmteJ%%"f[̭EA歷RO3[:*RgƩly>f$f6IQ} zN%;XQUZXњJWDZ,Iն9=lR?FꦤKrԟoJFBԤ߂ d,OkOc/jې%"h$VPHqVOjs|;o 0* (O0L;|Ž', rQ/ytHtOkS :~ϵpV]^ #Q Zæn[mS]1o2Ӹ }[W˶G]2L3L[}T%rw=){b/Ƀ~'N8'.["%!XRF`5ikӄ8jdW[߼vi#h߰˺ {쯍jx7 ;:G̞pžyHFOzVfi_gMY%0l*ʰ p :sMԕ|JkKKnXg^)iQZC..HJ2KVZ'엨 #Y7EWu_AK\$3G۟yjKa}W >!k3dz)R>!@\dFCO'z4{BXocTgL%zDJp׶ym-={`h CNЫpRE3OycdNfSx,jƕsC$}5W7f 1|H-KݦpT.zudW7C0 cX2Lpu?}C=p_g*MW=ZR`*l#P'l9&fS )wFsUKɽ%xoB#3w{ˁ($BM n(CnMQz* ~yUbUuItߊ` *Ii43R75w=똮OP' ZVu\D黦:͛jR&mwRdc?w{Ҕ Ьk(mեH`TE]oA^'m!: ˬ3ZxGx`Lk?uwfU7Geҫ +;HPYAA|*֪ 1} +xijUg-`Tg3SSiH],ir'Sɢu̹K^<(wA_6MƦMSRV}Gܔ6Gc:K"<lQ {6.2rʂ0fW9+v,.=[:'c2m7}5}̂Z܎#Lg%*˪9~HhvͲqmLҥyc_F5WRk~Tc"q|nR][W mdi_TEaIt]EaL|hyLpfI7=} + T}J@Z7Wi^.1M[U=eU |Ƽ|n+~,"%)Lk kӔ2ƹbTnbڱcv4XUZkN;(Lpq &"xEAlٳF4fΑI}~+o7gn$>6M;53X)jG]t_`Y`DM1 ;“YМSX"o4z43d3L: 33bWY <$nܷM[rLT2cڄ֡8Mxho4uЗYG1IdTؕ9%\_"tUxE|OkɤbzGI 8oufĸ4T5eU:O'!}0\RT >jwWǪ*h0B+p$OTݶ]iTŧkӼQYpV&gt7m;b'׵)cC$'JZWZqZ(X ߣFWֽF2ϙcmD8 <9)޼"[6cHUu* !2KUH&qYZt KW* gb܇|R5VU˶JdOiHj:c֍@IT-J)z\>-H@]]ͣFDխHltkIVD$d"}#4-B1n5]-5cm5lwڝ<쓺 Bh$ɞz'Ҝf, u(y2aR2k%kcz|BIc˺RbEr"EƉ]BPŸheg;z4uaXͻ[zgqVNQi2>1D-@P{*hD)Zwց(]iøk5HtU\eLW׍UWpJ^KL֪, ) "F9jnu]UzF]uYi=Ā)攳lЋs=\Y\TUyszEg5:U!DLz%2Ms~U%(‡DHS3GMTp~a~J*Ӫo5F<. -RӶ[j̼.3 ַ~F芥"ۜ"1/upSV 5Nj)YezNUT*eTw}rN$GvR>G$싌j/#Wv/Y!d/LKY97Y=?S+-~.ռ{ѩR% >eL4uTهH_W7L1oz7 P яbmDE4|0i[:l(KZuyw?wI(mYxέj"7̳]K/Y־ԩ1|.ʸֱ̕){(d\YVj ;k}i/յ򧱇{fIn3F'[^ĩ6]WKm43?[֫+i1|OxWji!CkZQO_k_\'nWvݫ.R4 JG!ڻ+~Z>Ka$TZMg]W򖦬2lkI/c%\`{70*YfFEUǹ *zV>'I%] :eyfxYš5/Z ܥ2"sMmY^׾aAnjvJ-UjVU[|e̦[jð6ikP|CIܕ1?k1Rg}*"BwgwJ]._4)}CI? ԉf㖧,&qS@ieZi\fn@l-NT4ϹZԵqvԕSVԄ JQ䅞cWUewql#15W+T)[Af55ޥ;%chM2ЍKazMGܿ+.;'E:ȆU\ИX8O2K5pU'= 5 CTnv|)[w#z^ҵ/뿆͗c*l)ڶ>A_tΔlΆxHW]3lFiB)Pwxb*dޢ_r|?IRQ_b͚ yyD0 .mC`sBfG8Z1D[Ni(QsH]5UAvյM |1RkJ-Wf[7֙=̈́opԥe[Yz]Cニ;zɄ~Z.W)hSd`}>^اU$f]wP!gplUC8HM81f) ^[Z; kkLߣEa @b [?/1{+E6LX`YC$E+$cZwPrtJ(pofY%Jj3nыkU5ύwĕju]y_h< r&2`Gܰ9L"̊\_ \/ !zHy|]\uU5ch?B$b -lW%qڰ2+ ǑnKuu'Hǵ~T`-su?I[m;>4bL5 M-Q9^]͵t֔iNǕQc` ;ZB? qH}n򴚵ͫH:2Ҳ2HX"Mkd/Jkz2$crᦍzƸBz\{IIkVֱ (yO҇?6erz_Tl ݄KHSoQ$6}Y{ɲԬ2al[zZSDk y@~ҥk^V,8ݔJ:tB'q4ZN%3Igsw>=][f4MY7}ЗeScvݪu ̲qVf淽?q~C0$ ׳`+Z-"-;âCmC^$F8YE(\U܂yh7IԠ.c˲H. =mOsI{: 2Mey~~'wz?8C.Q6P7Ohzz½l?cV*8Sn.:?J#Gy|q&`[)F3Lpg Jvb&m{Ȗ$WgM^3(MzzZAXYʼn}ft8E'L //ɠ{Kge| Bw2ȡMJkP$**S/ uPWviD_cqF5)e'áܟ.}:QƝpkG*1)H[NZRdI>VaJߛ!&mŠM$el r?7o-+7ݧl7iULTѷW7ZƏoj[h}z)mޥ{bU :*#YVQRqTbv\\Ⱟ^mqjSԑ=V-ج)g1/O6C;k\MSQ_>Ēxi"i/}jU]C; >5iv{#yƕXI_{.e' ⰻ'wXj;)#pctԡi!hNUD/xP߸(jov/ibMx%-xY$y79dَUԡ-!JfM[kZ".4!U_ѫCS|¢_j;CY ,z'P[w$gWaADل!:AY֤OTmeݢA/">MWQC[tKKզA*}H(uP"PtHUE2=0b-WuuxJҙ' Zw[$cv ?dWF+|M3 $9E3( "? L2ϩd!9]mQ\dVŤtBP?\w*5dJd'eNv4S'*i9HaS`78A_S_2SlI|vUF6mdO)NbD%5̋V z%)k&5跡EerX2O/}.>WeK2X9ƝbA?)]ĩJx &۹x_ƥ^Jj 4NpZQYwU|SW7{v)rF Bm'_p2N׷mSZT*+b:JLsl4IXye5Y s@]UY]܊F/;ũkF-W&/I_" 6Laj/wcSxXHĉ}" zSETַkE%~.# :eQ{R>결oqj$Xֹ|N^5{DʨE%5_6=}QGݔ`}1{JRw]oh Ru+{ i򎚰+f$:l#@= :̾G;S"оdmOTXR%2'[5P]MWdZ"W<(u9$t$JcŚLmSG%e_zjE|ik45J\~BZݰMB+JI_Ysl^/-tdT{m|+W;o6\ڭI: Ki#2*S.r(JQH F]3Jb;D;Ҟ5¬4z`Q }xt3Z-vjKՕ=?3>ęEG,_Ҝ$MfU;,鬌e,[n˦YWvmpK︊tP!ڌB޻hi #DZԀȠ0ʱ$Z #:]9k|0[Q6ݿz}F 2~m%IZf],Q\eyD+K;f>W%aVO¼,#Yԯ,˫K0V&L>T4ɩ~R1KSɲ"江qW4KUԔ bSMPhʘܸP^dyʠyY6#β>GU+|rZ1.*?=FkVqZE#jyr O=Z$uY&m(y=mۭ#t,dֽ)_Y5>J (/0|MB5Ctq. %}ϡ3~ϻN$/KSVbB2lR(Kcΰ? 3Ad(.d0,cM:ߤm 4H3%U&iJWT2Ѧn¸KվIaR6JU|oԱ:dQM;K(cz@#ϥA~+tئE6CYT)T["% aU=BMѭ#.ڬ4}ZVPܤJWE.+o^EuvRƙQ6h+Pa0dTt{ĨI̳cýɱ,ʿ~o] [$1+ KЭ1Lj֡iQ/NH~oGV}O`"䫌3/\h]W%K'=hg%!;eSurY}1g[&]JJr̚2RW也\W E8H/:B?7U[QWe PkBN`ܤ>4[:Ħ r*rR$ }ØuW1j,bع3|wJd7Ҁ ?„,, (V&1 iw*%F?QEYEyoYZ+C\tc~ث:Ot^RɠC^G e}IZfWT{l5)|[JyqI'0Z_2ܛ6/Qow7xApQ pw92hqfzrFNCpEmdoIu- `b) A?C}GK0+hEn(BI\*5^cDdbR{}Q* 5_%}7++Nq-IJ;*+_UOO^թKȏ->̽. X5*jf:.;L{NHHnܛ=5o{|9o/nѤrϷdǾ\laQB8{DJnP~$)B%Kѩ&>'-et0hր |sҀ4:Or`-A|GA[⼄zSd*MѬcWExY7תi3"^DҸ*h_46iS'|")HK$.-t^%ujǺѩ*ܘn~oO{,IoYԽ?D] K Ry^Ndu(3O ԅzwn9r![4%UUi鮏5|qa6Ovx7*d r|4lWġ ڪ *c$l5AKkO([,!$eY%@ [BZ4lUQm(MV7_lYڐ4OnRYG1ZZRܼnӦ͌E(LQr~r!N0ysRۻ ^ͼF7 mE \?/B{U)Tĵʒz>7ȺS@j0Mr,c--td\KXs]?jy5;"ڑvO;0 'jCEg~+tVߴ] s-UHf>||kȋ_Dž֪벶*ͪT۳3J|OV%L%y6cu>_;qukP_k_[i^ӗe,Je,oIzVEtY˪p';lësHh %үD1Sa| JwusLקaPTB̀uѦ~o4i~zG&yk_^N>Qkr<䎫^_ҤbׄI MqgdB⛢8U=F6* 9J[-(ꘉHR#Co5{\SJTdM Dr桙UvLS- d* &.J<(I/շI%wjp<t>읨 -#NI_rʍcw͖tV%~M =ִ|/A2K3SQN 2:ڣj,O#VW !T¨MH]AcQ^HmS6^.=fhH[e9/àٽzVVUU}t ]h9F[QqQ[1 BtFET `7ӾG#}1 6*:/QD;+um|~C~)&s} $*Cvי%IQD/ORApls>R%PU|O3E"Ya*~M̓Hi$٠BPϾw}~?hsg$~?51YS[.+ǹG6~h <0I7'+c~'3vfnJK#ǡ,iWV ptbLXu!_TyK K!LS,P7N|NҔۯjCѺ,:L7n~9sOSie~cX"Uԁ`66f5xmn~I / .-iW$j3ꂛviTDR-;O[F{˫8KǾTԶH\^E&(5//43\$O+HR-) ]e}^VTBuu9d@GԴKi{ @yRs*Χ풄=i3ϝNxݴT\umEB^^ykg]d~(%il~k;(˾G-uەm$LDxCxjV7'M;|%bܗЉvw&5GUu{EIuwt2[~\#8Z!7C>F4/Ųw'M}I)U}h%9rZ 0h4y~/}h%HQ1VbPVU$}k6u0sɣ?v8Gkr;uR'}.K13F(Hml]LDcRe=D9) VW+r':={-"ab }bzow fk`kp/Q @=!P7*|m⢰"g!YWgYD}_wGOxʹ,OT7OHꂥ7<8l:S1Բ)%I% @c]f ̡>Ņni3?ĠS߆my S_e]WNZ@zrZhCг(JwʞKκvt]&WP?9J-kR] JťuIʸm;RR!d"#ZԔAQz?kQ$m.j+ѻdeq$5iэB.IJC^5fòU%5C`WWʦȅ 0S=hHڥ(G]feE)µ3B)2:d>1`h*#TSp1lD3k7h;XQg s\ugDoUi)Ju]Kj^\וj0l4]G;]%PNoq|qsջ{>_͹$*-rk9 X /(kZHI0E()J1Y;@mGqtx}lZz$ɓQQ]n}W]$=#4+jԾ`اm+1:6!T^]%|IÈ4/+s^T/j.)$-)ʳlV% X!]Wf[ L?Q}Kzw6%-OTW)@G<.:5 8J4nN0̼8 Ik4\4nkz$KB"tc0!!{XRf^PDž@XPjv' 3,e%K*ALZi'-!whPQje6[$iEhJٸ;D$ (~w oH}@z^ւj5Dz/Ye IЏGWQ]e|Ɋ_>Хn>[kNzR-i>Ej}&#bh%&4vч mXE%XT_{R}~:.JR-[wP P.Kâu*@P1[* 莱,.[dԾ>9կjWe]aw4V!I0̡6\gPrԐNs(JL$f]uu[T٣%Mc<6- ѶNRJ_csav%+P9 ݾ4aGUFy S\l}M3\Ƕ d8+q$O@23V-34 sgHWTAeP$WA+E3{BSڄ'M)HLP^ŅtuQ \SǑbD2,?ij)3"ꈙřIY;‼#$$JWBH.PvF8(3j7"7ntTjD.sHW.N+1s}ܯ9n5Cdeę6@_6ʂ"WMou6_0S+B7ebC?s% d~o!;mRg=CK;dD3^ ~ALG&lТ6 $":IC|"Tt@ :ԝ!4+Z#_"/Th4e1:=z4O^(eeT,BM~ <$OLTF)ʺ9O*ކtݴ%5~Ms.q+b㨵\xJI9(k2\4$Z7'Ůl:>w5I[]koP'GM T74 NJۂ+.ɓVEr۪C~F6;bv^=aLN6r#T)kF| O{_h"BX1zEHF@omO>G)ח}"ʄ#);\syQ(䱨oA>de@bf9 g'QeAG?UU#Ɋ 6nJ~t'e=u'yu6)ސ+z҄*h/Sn-mC1 "~?˺-s G=hi~hӄ-5L* (H(F4WdJ5]Q* !8 t_Q.t"UvY1-ؕ&zK=׍2WWF6huNۖx`OEF}J"F 5FP̲\/gՠ y@_E-H ;zqD $2;)#Sz~) %YJwʬ&AmѩcX]DJi:"R ;HqR6z'cQ>V!.V早"f][ZoԤ2#} H VBkU@R)2Ϡ*nЄG:uMBG-̢PPP#R pUy}hl׵>PTd% #@.*|㵺ةPt{B2>T$y4Rw1 @M$tB=ġWngSu;de'Dnn¬6ݵi1,Tv]i{fPqUHP߳*I}~ԗHo_(zrCH:tQ\o* *Cx~hZ%)%+!/qXvmfP&f 欵oCXc U j" (4 |Jj m\SH3KJGY0j܅]aGvhkHm‚ &ep}bB8FhYt&uq%mKXr0zS4+7r#*(/Jff:?O137<,80$3'H㖃m 96 **5ӌѣL364_ z »k"~2m¢Yz_"@bI v=h SZ4%3)[%I+D@&E#z.h!NN' %SE`b)K'1Y㌰"6Xm#q$bL?t"hh.+XИ5e<+Z%@5&ؕ.ddWt7 : h4ŰH(QBƩntz2 F]0X!?Wʤ@uSAc҄Ui~nxs=g+ԔHimmX'Qyu)IڬqUʦ cT4R YQw!GK&%kGt,(U_^G=L @~nB!& !eS%#}Ȕ9[TjFy'm]Y<BVWSZ4%1S6I 'Y[TB^iRuaS(h^ԍTu݈` rݯj@jG9PC%WAqEX4եWQD?Qu1}Y~2*h*{xZgشm-.]RD' =-D;,"~O#B?Q2@}i7@h%e$(]AuTChdǐ`\dZ4*b٣=#z?IQOkwaxegHSDEZl$з9ouXG9FtΊnզNV4n$)(*#dQ7*b3O")tXbR.t5jل 83BKۄ-4DBڀI{Ҽ"W!F;Z+H֕/OM͡JDZ9}r-C~. #K"-zE& .)fy_k*z}:hPA(H0I $ǧ ʈ&oj֎KI'O2>1d?Y1yD8Ixl38t7{~[h D=J &{hF$ktYRcP AN|$΄Xi&3bT >ĢgAbI4-hQ#OR%Dk % cBpW^̄&䀣(%@yH* c^TjN=*Z9Ye?%I~%GO?!w5NА X鳪HfO0IR!pX)fdH($AG/CVU4J5 r-[X{t+bͿ4b29UT7 DI%d|lRw)-F=3}:md)2)MRf5~uUTQJyyٽ~(h\S=GJ7 b0#B* j*:-TV) >A^PzBAQQ dGQ_[ jyL#),!'9jР"e>T}5JQ#̡,ɃvK,aasUPTqR|M72m3, n9!1luD_^;JV'WU>7B2xO\6m`gL0)}{[dftKF%z\&)\tЛDT7Iyy7+**.*ӚޯL,J/?r&ф~EZp!,-m7j饈(<*[Z5UJ= T6%'Q&I%΃^VTZ(C[d w. 4JFJRSDM+63jaw_J^& 2!@DBQd ,Ns6ɺN*:=I v!3  o7@%o}.`Sv1(E&ikAYGTydT4s@~-l7Ȇa|!.S5m% zN51(#Ҭ bɢGȒ!%j lR`q8AG$ȗ9 ZeD5 :>s䭏K'jY%B{-AX7e$]WtBʨ=.RwԤHhL}I hj {yZ1l}O4Kw,΢쏖gePtQy"!q$c(Bʡ" (GʵOc1W^[޵X [oP[D!BMg-[tsJJ@,ܐP o/Od6I{ZU-# -^sPҤP_' D斤!?y@}BTڄ{j p%Njk0-"ԏ7kz %%YCIϠͥi'+30rQğ6inCO6sZNϵnܫciI* D J (KT{A^ 0E mjp#_6=ZB0z +Z5 * h DT *J XI\:,R ɔt[ؤ&8ӷֶVrL=mbΠ 9 6#!D@x`(BJ*4*)HH(lcH(RZ'%M H"Imt x4s:2ۿ6sUFUI (${} PTLXXVE(%HaZ멊6@@@]un9V~qOyc#$_|K[n%tJd9h-j쀪.+KTC\ޘH'%2ɬZ"t0_TN>ŀmvHb8bBN)n@u==VQzy}n}bA5kd  !K"DMP\6{lc:5i2(he7oRn(/6y0oDM$}CoIF(.T]ąlھBb? ȺKsҟ,W ڬ?$B~xd!3N @YWyR~J#iP$2ǟrh#̳l`w-vZjm\sUUZ/u[vޅJuWn$lMD-ȯrԔ[^)Ú)˪sapbݶ'VѬ[|*~Ls M'_Mx5 zf%is2qAlg+V+aI*h-'bM؂5O|O"%S@Y_!O$AX-,. :TO~+lGzu_W>q@,Ơ#d]|BVP11]' +|l`}( =D.c!BPQ' ˵J>fRTp&o&!BGv?4t QΙjQ4dՍ ɉ'c@ Pb!g0mBL̳)d_;I@*&Ocni1{ :,zv +OPfQCODLU݃T[B0+ nCMJnK-CD3BdiּrԾ 3ʝ'N  [ !eL^d.OɰTPwR1,sI +lsЄ;!DW!Fd1U{ϱiD?e`ݴ'mBE#HПzĕK"V'Ă)+⾇wS@b;NC"I5YnjPEfx{viZ7Ǻ xے)B'0-XW% Ԕ66Ag&_n)?u^#҆ j௜}DH hP[usݴyn@wab}LK |.n6ʪUemZʸVtם ;m_,Sd TLDE}fc b "K6:("W98-GTCh(>$[Qڶ'T t>DK֯eoXA<A 3h@ YY ^]D&AGA324jr!_ 3g4'ˣIR5nGCXLz"k =ed'6cQyאָ":WHrYUb^Cx3 @0aF^QئۏgQeRo>u!8Gdr HSWƣ9hEŀcDIXGPt-Ă൬ZH>D 6МEB| PUMz\,5e#@G_RŽiÆ+B-KC?W\i&8+0> DGZĵgdxEuܔzE!p@jdXBHؠ4'BDBK^4BȪ1 ̮Nz-`"r̽Ŧ#}mV IPDڥ$s&,NϾe5v } "zbP Z?R2 YCt;zmsNѨGϹ|q佷YŷhI)m[ڿKEˀhϕmUb\ãN]ap4*,`^}I\$'ҮNUV4?"iCBZ]G)N{6)k0ϡ6eljQUyT1@byiQ Z<;Jg׍(褑[@Fo8w9iޗʜ;=jVĿ .ϞցD%2̔+\RҦz(5v{J!"H >)(kGY|6#:jJYV&ϥpRZV#uVDk4 jֿ7 *@ï:>>a(U>TƀR+U :!ą Q%uׯ[C# `]&% Ps؉C@%Z 'BRRDhBG1Lk5ѷog^!FK Đ3+Z8.#ZdAZE<+YP m"dAZw%D/u0(g5l@D8zCD$o"9o:D/ 9oS :!db >"8eSjX3Ò&ʚ l*-Ȇ8nɢEB}I"(al6n%/AI4uI |  @+D( *Đ!& 斩.gߓY߂ՔKq HNhAG:;pk%LS2w31AlٳdɅC3oxX}[pai3 R0ɺ(Gw_鵏Rܢֱ[}D;= dM6#ZT4$yGBs*@SQ-z^"!@SV[ҳ:*#i`Pߢ ࢩl2%$.f0o!cD#KtIkz9Et=[N+42%NB,k -4Haip>dJv=)lҔ%QAKyCxաYQߚ):TqHUYyGF]vZ:Fx{T$bLY3S[THkH8Ibɂ|?D%GUUHeƭ1`9:7omU5Z?q2lt9]w-br(}hhYoaJ>Wd0jܤ)[i+LpYŠ)l]Qi.ꨍS }(* !a6])Y`3օ-=^и+dybY>D$&)dED H `Zd4s렔 l!iPC`[dJ-WYUOYfF>iUC2ùԤ#X[ P "r2(/yU9r9GE=l¸k-[:$,/.B`23ȷmBR>$(D 'zQwEo_]nQ*GmpL HZO`&i4l(~.zݕ8;*)N(\+ LdO\ңatMbWإR\ȕ)w],S-,7=kȓ^(qGJ. j:~^MQe|"!QQqWٗv_KDj OtODl&/#5-Uъ(_R $2 Nֹb)PO54NYXKi'.|I]5w^fE,%ͫE$/CB0꣹f@4(k榦+1`qStG>Ԕ/B#n=?WqglXvǛwVT0kMJ:*aSk>%l% 4oJj]VW_3F׼ͭpyN{qop?ڤ"V|+綏RQn/(o3ƉS%EPUyU]pYiU((m1uWfMLZ^DL}+b߂ƍIzpRk**-5}H򪲍ՠA{4̠ȆU k@?iiѢGlR!OQVt&==^wj1Mq~ 0ةwRSHH7 R- HyQ\De*J8. ȂƀӤ2[wR\w)G?mB]% r )D<yB+^ѭ R5?'+bɠ<Źrq[Q$L_cCk6UOit|M{\$|rPQͲ6+).*4!*@S`" ȓ R>]Tf!,KBkaKJHKzX,5p]7=c%T(~i4 :ʖ;hJ+HoyIX5aXY43@3j @m74_3etCmQfW?cj\˺B@qP!b N%(ozZ6t(N&ճ;kúˤl׽SDz=+GGcV'ІH  ¢]t8):Ho/  .4CxwA M[Ӿ}{:GR!@`AeS)>a桙|hrHogߺ9,uV qZ:̢7jo^4f~ hppb/dP1 BZĦȂ>"#o\~*3fs$&1bWe /R1abq!gPO:)4I]/.p~NeKvʜ'cGNBZ.n QO4hM۽6}zw w ֫.yd$aD=[e'qđTD[|ʂ1j徤!yStΒHe1@qh]4hU5ZwĢVUdb1E`QdGWnzƉgM[b_B2m(q*DqSja㕢*|mbX0`^i}F6.58d90T֔4ߚx&Xq]to!$j @-c@k&4 "Qb WCJWy^z$c|cX_sf2)Jã%bUJR/?At_zY'$j%O4%`P!1.d4@>d!6=E;}+B̀)r A%ȖAV* }B{"9R$ySzS"N1H6X>'ܬĀTYnN9@ ot?IUB{ʣ4ݴl~'О#fHh'}LACvZܧEkLdkO}/^>f"$IۢK>"Ĺ||{ :j~bdf7Bյt5TK׼uD]FYn;aUM/J4V5#V ؾqV>COɯnf!h(%YyYDEO-ʻwVRӯ,jޢWUIdC&|/hrTD'"XrL$[AX4I+hOt1-Ҙ6K#]ՄD5=B;+$@}h0Q͡>Q"LE@͉cF'{Έ}o@(0FϻkvsO|r-dc73z"Rak^R.OHUS hCCuPYbɒ`!,zqUEdwƽgQ䶠Ǻ!9wYg̫s:k[B'2Ju79e+#d8l˲:)Q kۡ1ʂдȄqBwsъjǰrd<73hZ$hEJR4&m3E!6aq ^VAtY1͢<&BN lTS@v:j@ BV_r ' F| ( n @})v8).`H)D# IZŠzM: (diYQ%t%>Wؙ!d}郎$% LT݊]F<( _/iJ$*J/i:Q6薩qT}zt)Y4 '|Z:!l8C^IRStTD?gȔYc[YR[P[vXP)Y۟ʾ=n/ w'zWd$7iD* l?ZRAH8/mbٔSD"ƀOr^J.mĀ*M*1k|D Rƥs V&H(O@yBƒ$bkY:oo ٥۵^akJ=0zџC|-|Z!5fhAE BTR"_( ۶4+!Kڄ( )sx)A,N!-B ph&9^N+rwD\QS.!$Bzˡ(ICv D,n" >z"#fUTKT>#jܲ!E4˳j[7qvDCdLbt/ݝ|::9}rPYVM5q ]e8he[)P 6M˞9īZ1#D$(칎=D.d֤2%GVr(O2EQc)V]lի6lu\&J&68=}H?յ=O(P{ ̮k{0&ϽFvy{Bb^ kUyt&,b!eդ|MGP$>P^mWԫj" )(9H%{$R$ȅ1A|QYV5%]D(꫼)hr<머ۄ>aWR`Brj[6JǠ/dgU 9Lz|q1Hi!"F!o@q[ gl%Eנ?EQ^E)[Ϊ $+[&Ȕr T'kR1;@M֡ZSeyu\gi^'ӷ#z_R嚘 {ƖH[[$D/B>Y^IRZd--gA6SU҃{tdjuJ~[&)k ʴ k1lb% Nbo+bͱ+b_j!}qU'qcK\ &wjOaL\jIrƿ1.pXT]^CM7*:gO;j) Z!+E `OS"4L G([.X#rҩ!2@_evkߒ%fRu{D#>//XlOmjV)2~F, Ц"V)>d>efj՗%5J) (@xYWʤ 뢋HF!Rڅ @lTM Z+sfujх@$ЀF-B rեB-Js[H4BOu!}mS_JR7gtUȮKL"F1+N%t{1.[du$OkS7L P0 < #,MBhIM HYZ$AJUG59 #\jUBXU5@ݠU dt7jY'u#}NڹhoSPU$5u\R5 Aų,ygE8rTV5\qE*kԾ4SWE8O/Z\ecS1(4(Jڬ׾y rױWX'-}MԽ*[ضSPF /p4ksfYZʠ 螪@JZd;l>n AWq5W\%%p.rH>&%t RluP K} y@&(`̷k[pڽսWy\64DPJUdbUj@i vevo:mwH6:UOTM o}YZWcF9I2Hu6reiF->կ.dzI|>DUG@l--2~L!^T=F4S*/k ڟlɾ?tSỎ4fA(ٶ](i|uYu[4"i( XiOc\Ss>CfHؑ+)jzvU7by7Mygh]!8r"Z7 (D'|,JZ[l_D.I m4%Jpdb$'p7M#%Y8 e'Pq> dn$&e&M=@_H}*!N[J7J r̂40H/ŵqYF>I:Ѓ|IRFpPpGԕnbv#ԌY'h'➩$,sȐ8jJ 9/;`K$ 'ڴ*C U #XUWi *{(3G뾖<}^d])8X*&mF_f(☬L2`)OGReGXU)sOٷor}IUF0F2n=-qZˤC¢ :ޥIwɅ~ :5lARRZP̡~PlT8Kδ)?ֵBW br9j:ҬiY"J۬ [t뿦4NQ Q$ BSNcM1@P)akWv!/9ea5xR4W1oL٧YZ["0A]bCHEQ* >rN+OUv!D # ho]|AVohMz0+;z.$yXPZD׼h(N 95E  " mSB9wIQu+RdPhIhҕdrt(ƙwQO8sВt຺Gi];6s]Щ] CmQ-IuXc]Qi2'5oWBQ ycᩭj9@Jd)Ys~i, "!̪sSQ=uvY2-CIg rtK\TYӴJ:4s:@"W!4BxEB?(Kj~*/%ol2drKO%uvϳ!I+9ҀyWhF;xWסΠ7*>MP[>ŴW 7^q!{_cD%Hrd"^~m۴o]dŦl?$RZ E !jPY&(c*n Hһ+V_ԅc_)lw\J9Qթ~jcUR.M}q ex]XfWVh(՞Bc*d2jkP\6Xj"u%`BzQ- W:d'ک8jkD2NX-*4 9r*lbWΊ*)yQBi6g^;Ym_L6XgcVTJ>7ܡ+Z1,sev]d댲У |,x]Ĺ#[')i@|b̥?J-POWs^u9ոftMp$\ɵuԣ[K[&.3SĜ]vQJ}㔎Q~TuToXة'OiCmTӅ*(ˊQҬn &9wJBB5k{$1iAc6ApD-IҖ..LԘ:/V J2jfN r ѦhGx7zk׫i5`H[KlQ[r5w_bO[c>O ͕tZ-@G,M2%Ra~-2Ɠ1C\.|,H . kf۴6=~f5t)INoؔcRTR=L 5j-gy)wjE'J_f/SiA8ie>YM-bC~ rItϯ+kn#S <П2:r4r!![%[bR1:BXD$2;,,H]MG&MTP[nq:Q ڶ!3mGZK]& PD@},m" 1nd&тOZtaX䝛GK~_Pd2Zk%}\- 9(g(%CM4y mH$'JM]IIua޴B o{*`#DF)h( ZM: &9}/|)AY5ҫos {= ;K0*nE\v9rwDG @6 {J (nwCVXKKdQ>ՑF) RjS4&!E f>#B[j*J#{d(GS[DJC@:8IR\_e>d4M6, TtyLWu{E:FH 1("nZ r.k.KN'ι]d]zAm6ZVʵ?9<ۢ):TgNCټ4zgt=+V+PTzyDn eYWU~D%L:ءoB? =k 9VdƂ9QEǡ0ՖUUUs7 hiϡ>b&DH*M3m*uWkD:IOmeNmnD[@\/lbƉQP=}RX&$QRTtʌɥ FNҴ!HTsC@.;ڂZ9PpU {*Z3 ͡pvdhOU_lLv:bɣ%dTd_bnsAxCd$r7,..*`:f$ѷOP;},$1KЏC!(pT}~h Gstdд]\yB{Q@dץI.,Ē/eTRU#[3L[mT ^(I>3  * r_o\D|P|/p2G5O}J.7kr.(`./upR!\5նJPf_Д܃ԡ\Lv^QӼK?5iQ}dSJ%[j^=~I`?D10wT% \[@X!IZ·Hjc|bJ1pe}[ަJ+ .DAOna_-; LvU _IY7ϱˬ520>5A 佳Fc))KR3NZrE4K1'o%?!~>VX{Ⲇ?W} )LPN=CNY'hGVWזN9@>f|"3ߡQhWRWXCޓȵ"s"!/e2KQY#wgƢUﵯ:||JFMbE7h .Ƴ:ӂSΰ-kʔ6)jAM㳨Nsb<!o]Yb#ŋA05 Drfd7ء١Q]42bU !Fj zw%zD51Nܴ7VWѾȄژ԰J`%hOq O\'G4w^Wu3D1R]C VRaK^3TRWԄJҥ ebۆpRq 7 " $2 UǺj|DhmН)*B|A8h%z$ DZ)O} Б|}Qm3j Iy5jPXu@xr>9jZWm[7+(A8IK9Qt&ei_ƂTLJ'&6RWޢTש[x[3N(%|lPOug)i~hqxsF?Uhԧmj + 2//Tv5WPLhj4QKORssṷtS.x:kJ&(oK6ūNc&(%ɢ?6\_ˆ) k('+Rg*<Ͻ4WVĵw;U5'i$KT(K55T|lüXu@xtstF1SNkin>~G6q%~2mC"$(4iۧ20C4*B`vg28 q:,l*bT+Jr:ePZ^_Z^ Sy[f4SJ&5:n* :HY,@d5.C%RXPvuhO=hZ:"@q4&-kZ/uhiP:;a= Hrhq0*ʨCSx,G:Q1PZ@sPu)f65uLJB1+> e_W+ 5SIh_>!+L H z_z4K1!T4ykwVm2kT#(n]7ր*%K@V_ l?dC%hKX'i?TQZx^+@*+1z#_K5j}/eT'D\аij܈b&BRjr8Σ"tyqF?e\[aV\&Ta R 1su D1J llH W4ZxT7 ;{Lj2vΤGW}j[ʲ)Ʋ͋.2 )waMBXIZPM]fZS~/-o kmYTSQne魺`3Nɞ{]_]x~HԼV6)ogZٳqTmG\i eȾVyT\9 8!=)kF[p}*LB^SM/HѮ"֓4#\"G)]TG\΍'M" ZYUBrб藾,r5c)ewӴ[t[ qCQ3Bhĭ:CqSfZҽ)o[-?T"@dF}?lVfKDu=N'!BNj뚂_!D!>DA_ĵ'U4'z" :<.zk4u}3L޾Rf̠4H/bfMҦ7I2ͩ@=řt r9ia6][~+,l?:be4cOI+[G2,TajQ b%(N:@6" +vS3K`$L |JX%©hMeSҽGB&st᫨g`@E1j3qggBUZ'G(O,$ @C2OD5r̚I$y1 ꘄ"3Fֽ/ZQ-zʮُ|OKC:|7q=wfc9D;?T:h՝B<:Fʩ b%ħ[6`YrAUՅ%!8 c^KXhmGAf +Ȳ. "!##"2"D##"#*APF""43N ʈpRJ&Ȉ#8"U"!RnAR3"3ъ%RDBČB""!Tlґ HE"B FFLR22DD2n4UEB!HE"#)9dc橤pnl"jsʦʨYĨ"EB !DDDFDFq!ȍՙ\S)FDC2"DfD2"GFB"#fDddUQvctg$&>AD衾R IOZFkm)c}8UQ)~gm6~#ԤT$r$n.qWT~,jF YFj%!!(A3h 3{D[,'K" T7ʫ&oƹmKhbzPjf?D7ܵD2Ϫl<UG~sޠ.H~IW1 )]t D  svԷ#Q) J+H0u^BhϑqUyDZc&Q[6H ;5 r@R& > h@( Z 9tPN:Dķ2-V;#&!@u+OBxutgG^G}c^S#_RtCN]DM A7mK c_YPEE #6U<-zKUaQYɡG0NGvGq8z~鲹̱/2pxS7"gG2aJ(jAEvStĠn6(oSŪ c8B."`ɩk{v>d>D1 Hb@yd-|  >DR"iUޑ\;3=y7sG檜R"VZ&BD5QQ^Eߠ3H 9AYX%NC! j V~fXT3*JCdZZD }O؈/& 9Z! Kb">d'?WuicMi]\G q/RVC_nWsS?^%U/'Tz'E~ܩh"Y&A2/c>]sI?WҳX78;,Db"ȄFgV.W>u>-U|(Ͳ zP_‚v#zn1~jsbvI"Ae-b "P 3&K!YPY0B}*!LF&L@| ~!4ʚ~TyJΪ(-J;ػ21T WX՘ѠCN1R-fGIT$sD$rDѰo0?@cPJ벂Cy- ȭ 8h):O.O~;y;\ʑ@, {P.blZ$'DͿ_އ~vl~˽ DC2 dC =B Ϟf#QD{$TfD6FVEd*"3=3⌈dtDDAE=#+!D+2[^Tr?6lgZiLDGUT(iZVZV3BC9ݸ*٧zWػ{4w5wFLuV+FUiQHEtm#rPb"YXٳDi*6iJUehҴiPr6!eBGf6VeVTV+M4VM!B"!HٳF #Hd`k\hj;%hw@wUZ3;۞ݻNxuשS!YQoN9HWֿ-}b8#Z3߯I(a"^7k6WS׿Y]Y.R + D?Kt#P eYtCfЂR -L"];FdX4"LnC*,\Ng .J:nM@~h1H5Al4qapD2l$Rׯ-bȀj4[J" d{ђoM!EHF]nA4 CAOPnj YK!?Җ1h$/ODHgy'AG=r! <*6U4YǁKkHKxXߛSQ%t:@:(؄ף8ű"h-g[uUa߻sQ ]ؤ'쀎p]OӤ%ùlRe*>.@/N㡸:$:A$1hElu%D-;^UuҐ pC4ʝB9HMK`loA7>KP\βM$r. 4Ϸt2\'(t #Y~BjP J@nyjj Bڂx$s_+B}(J0+Jx8w}t1+O|q<8'PD=䈑dx>]h@AR{6F\t۴L7q=D6>\.T(LlD"PN;AG) n(Lj2QR*Bz0(/ *!' g6glQ)w;g}{g(:>T sg 9D.lp( (sЀȈC*C9GPq杖o  ?wIII:8;>^ڣ%}PhX-ֈB #gBuD!GWDC6|f?)./ Y]Q}Z:ޢU^^%Mu ll^deN ׍j\yrr%+ ),K(ojǁecE| Q)>[G'[FVtqn1Viv!De|/K5񼊛T lHTփ-wtؗaݿ~\B}h7/i)+r ~ *XAhRM뢓uD, @Gŝ0 %d>bFM:%ib tޠ6yG[ DY]@49@^#x)LP46A9Ms4|ҞaSk/bC ڏC?=YHr]G:{ۻgnʊ!UPPYF ˢ! #/n5…h(:qS%% RVRhUX=%U J kZ (HT6ơW!@+z >:k $!?]}٫ϡϧl $k+r k>S]A H@/i 8:);;ZUd[ij H)*.Rx`+3]ݔ/zMb>Rt?1Θ!/* <<9 R Σ~l+AM,[PC@Oַ 5hg,Af]TQ!ֵ &ɣX6_z$SPbw~$% =  ,CКg)AGv-5fTC_*N5E #غ&#ӕQMN2Ԇ2 Hd`D2ҡ1O 7<ꓴά}/ ^"bs0y3y߳{ ^y3kkK㽌s^y\Ȼ;gw'ݸ?1J~g_͟WL}ø<ԤJ€R @!:Vut-I[|$lJʬ7M(V\< s.7*B1kh;C2%aFT&UƵ.XIhWUpa= B3mִSUayFéB=M8-ˮmJ8/NnN=$ThFTS1*B!$+XZM\m9R!V<sE]&YCSἪ{@lve65{5-JY x :=H *lC>ښ>#~ =r;J@?#@vLhC||Ee> Ā7IˆieX)Gän详Ud(AK7uDI*U_gġQPZ/o}zP!9/]Z'yNX}jF·yMs')nZLICgUƉ 7W4 (cԅD&-hfMOЈ j8y7QWѿa8#>^B<{[aDJ@qA|J ț(Mk h+W"hfeFYWܕb2) n -J'M_eٸx./}OM/[414脕RUDXaC`h,HH6z%LB?yFTXUE PӭBN[cPfgt# j-/FoYL@G2K[> F}BYtY 2p)%PWE Ƭh-Y?"tT] 0F4h{Yus۟y{wynt|0 @ @G?6B:l 90{e9@Q^tr|usf1* j ̲KVux\R9@. TM*~(2\ B /;衻 J}BlǨHP>+˨FH S0pMdY3qZ:lPovA2Ҁ rdPK**lCj4"1Xr!)h @VYVK%kBԀ˿CW^ (R>Z)#WTR JްHo{'"$f V!8+HT+n%l\7eG#Mq7i7iQJ6F+nȍ63DDfE4T`EFiF"2"!QDi Da!!0ݧ[c7#ȈB01DC=㩛U"#!Hlҩn܍Dr!Q*4ӌݛ#84GlCb" zFsݳN4rѻ-uVlݳEq4*6s[8nV764qL&MnM+EU2!ȈVبD!dnƮ7nHճ)CHnT7C86VlcJFc)]q7F1]n}@9GDUPDD !*UV4B萨"U6q*!ădW>Ҵ'iMѺ#ٻ3pVnGv3wmiFfY\ƈ6lG (QMƇQn4BݲѕTDiLMiZ4!FC""4Fgib*Q:R!$4͛4ٲ"""h44iQZB4444ѦT"4FiF#dV+M)M٤BJ[6CLٳeif+H*"TFiQZiZVQQDD"4f6V͑lҴ! ZF+dlٕlJٱ#EVHi4FT4ҚUdd*M4ҫ6DVf6lҴҕJHB"24Ti 4! 46+ffUEF6ll66VʈQeEEcerlݦ#faTHVFR!DZhc\1ٱӁJlۛ6plVrq8444\h4ٻMgWtpqGnq74ݦ+f7lSv#Erq8"ٳdlR+upGHTҴќVi%Fiiil#JUr#"4JppiĈM2)EVT4$l4 ݥ7JHT*UbF5j_⯫ ȓ~ v7k04/[uYA;+>BvYFANE LDU 2-PP AvT&Q>Fu$E}ugW)2YR3B~Zp$3G/UvaeGR-H-Kty^Cƶh4ii3wMl" WO}9~fȀx-IM2n4E6H 2L"2!8MJ s {Ph-:4ӴkҰR$SM5I4EbCeSLCx {B "P ¡XՅ5/aAoHVF !BX/c"\%_r[ƉMĀBkbT7ȕWoum!YGچm٧! lr_Oy 4@j{~tFAI$tzA|Mr')J )[~OhJvԵ H,PMKjԉ}hg@} ,ݠ CV_zdx+*kڲk45/[%YeE [u RX'5Av D/Z!'+|(Ul|(N܈N43'LAyP.FN:ܼk6{~:gHf⶿F J>d͞HIW$}FAH9K\'ۙR^$O жeUSY.)"@=l3]lCy_),B$G\m@BmgP%e!cP56%q@v`]_Sԑ␂;v!e&DH)Ȇy\2#F +LJxiH%PؕDM˷n"\"J攡1 *@~OCLMǺ(A ~Π!0{K7ѯ1P3~#L7ݿ]#tg8 -H1h봖YG];NBQtRΏ$K E9dK $5DA|K3j45jaRŝg{UM,Wƃhnv]<|Hm{P u^u{ҾxAtwyqUǎF*1ʌ#ʩDH3q""B!ADS8婑D:q#Di_8*P9W#D< *:%ilMJҪ4""#Ds3M4-7瑎n>徉 Tٙϣ="3ʆ i£*0*1DZ~߂ AYtAk$}-p*9cxZ]E)g lW0i{Wa0Zwʿ+|s^Y | oִy;__kV6oɑpݦjOG>);<ɣѯBG>mWWYBi]YUٵuSK6&D4jD>Vdth +>Dd9|PR?.*Ť K2N 5 3נ8h 7D,h6ʒ 8Z.R:Kr±#\لx[=xQF# zn=d"Z9BG#[7Ҹ!-zDP]B%7C_^v \h} R><ލȍ*DeBGFUMXt[mϿ4J΀rF!j[djܛ*.*n?}B2ҴD-%6,<?sĬ"wƓ7B!m9`RVmq^dBx󔻨JEHh守dJⰢ΀ُ[5^F4 T` <5:2j"I|' lP>uE@D)iCh޵eD/ 3[TI2. OR. nr)GiOGP}˶:g磼?Q îM<} ;0ң4c\[ $j9 !@)i+lZ%0'&1BMPz}&iH2q5B#z8iZI\t4rr[vCdPQ㾾5˫Fm%OzjR,%ۿI\|IꢄDK/t jۖDQSz<mj#6CMF7\R9Us5sk7e:+79s= ME_SEhїTPLh?ijY>uqD疤R9RSiLv= Tԩ bEuPY}21.[Qh(-ARX-ĥIOط+hD*:B" D2쥊ZzȤ%HT3s%(T=cP,z  l_اYBG1h[tBm|&.drZ0wb,_+3d]T\N1y픽P.fI%離l, 3]h>w!C:~o!( #j5GQϵPₘ;HPhR衵p*_,,lB ­+ Il|kTŸ -FJ@޷#ٔ"\R} NM\D5=JH7◯ߥ<[PZ&cЙv @sPB7l!`W%1U46yAQމ:ss^Oqټ} 3ƣ2!#!DF"""eyVVq?yo{'g"+$q*1U#gN@hUUT*A+v3eVdfhl*"3tdU!ȈD DDDd2"2Ȍ "4Q ̈d#YwdD!fDCGR1UG4v"lfDDFB"#j?eз3AÖ?NV#CА9ABDfD"dD!ZGFQFDDfVhUfĆ(#d42ȆfD6CHc*0{׃8Ȍ"1 4eFjSuFAй/,u':+7:(ʹ(i+xֆ\WŮި-kz̦3m-ѰacRͩO-'uwI\F .K&uD ;cڞ-q;U7,rޥQV*ϵw[Z\9nWEPqG{\%=PcJfVW-NZvuS!:X.Nk}n3{"ZdP۵Yvw%ƙA|b.0/pX4E (I ,n]HPV! 0?sξGKH9;{3l$F%{aD#Q$b#Ȕ|GdPY$uIi]mG8AQ4ST1(-LX"ܕm^_ZhČzG4C>e~2DDDd@DFq*5V 3韤O^fi"Pyzbh3n*HGЙuLX _|( 򺏫lc:KM_mAѤKʾvsQRhBƮLrԱϙn06hh0I#"M_u4E"1Q CR ZYX5"Wď1 xy=(V|Rpj,(*HխlgG)(L➂; BITb>(L밈dPҊ9OwZR⭦IcZeeGR]Igܑ)M{ )2X tɓ{\Kfֵ ~@MkF>F)JAq!+ VYS~K-fmLj?[nAvV4ٽK *;nrz#j!'Ҁ͡`% 1M%ZwK~,\ ƥۓ][w! 7})S2:Ȭȇ"S\3N-d~aG}YOi@ݾ\IP!?ymH_nyZ$ 5) :HAF!8HKpNFVqHa}MJ@p[yҥ[Q,x"f͹`6EeF P[mc.פn#$#$O6A8'ܱ92 z)`J%8RVeGBwd$O9p}4AuSun#4HJBfms{PRq@jR΀눆5Lb9Kʩ5ҥ cG&9[eKNIhw_:XС>u@Q+35 Kf߬HJRw!mw %6hge{y_F$n:-io}6TWM|!ș%xAz6|+zjK&F0)」GѯkƳ#LE\ZؤC'HIrډge)mYh2(IkF>7ƄSyE*:>we0[6ۚ"1RĭLQH X9λH"B#:r*R5M<$(>wLˢ4M%_WIIL P,NTW%BJڇy N,սXD=}{Nfؖ-Lק ~Rt KݷL2GWZ *;sgEܠoաr|T'ڊ]n%ՋST- SȂ?5 #5 D2({?qPˣE- Q75%x]7Y[CpKJ 6Rf!6 kTOq-`WE1 ~/J!VHcx>'Ʃ5/Nޤ# BhC]݆yg ݪr-ʜ ) KyvGA${ϡk^Tk2qx o xh[fMeD', Ȋ%j Dx=O @7>9J#Kyĉ~JrQ / ֩-$HZި {<(Z+hy6EH[B^l{$ȥ=Nمmġ}H%q]>F!EG0ڠΣ]Ԃ@ PJEwW}ED{vգdFi #c+)fB*+HD""*3dl P+7iZEl٦ll#HTٲ)i#EfQZ4!ULD#!iQGnٕ RJLnCM٥DlHQiѦVQ[4*6ldi"4D24dVhخ i6lFʌf"DiZ+4ViU4Ȉ4ݳcbUDUR3HVҪӂӡnlҢ#64!DFM)\iM+EEFn&푺#H؊(Di lr#fDWVGi8H+JF4W{FSenlDqSHR*U"!QJ"Ѳ3b!E!QTVDRR6DF PLC* BQ**SHi3fϰxmi!:{!hȈHCHhsQ"!inHUUz ξ뜌t!湪!攨Db#:z*2*""YWUEq7TnFDdD"#1pE"1 R"UȄ!D"!}Z6V4AȪh*2!B DD MiJ*4*!F"UYUDethdCLTfEedfDD"uкfq1iUQB;gUFcшGFUDDtjZ}uhfCp5.[L/kt7),i_ӶuYso0TduUUswq^Wc%}D{$-SkS$BpI]'AӞE%UY>'wA*a $u֤Z% pfr} z1}ATv<-sZ6.Zrl }c,mb,\i;r<QptT1$Pi'λa{|0ārI{bi#j4HF רJ|$P{~MwISQ.DJ& uXd+xb1k9D#H !?Ds=U)k^ALrMB>Q6s\(nfcY"*F24ݭ[6A_ҴEVV4TJ 9"E"H2Fch>%KI봨E{5!rcה5GeZIS1,j^dOUpE'rVwm{PGY fStE+[}9 7 ͢Dپ|YZd-SJ&n5% 0ɸ0,5 JBJ=-hr'R+E}*d5t >a6Z)JDKئt( >GMBZ[dkEFPɲX֤i$7MȈsU~ >TS7iBhfF/scd"VB|z$H"Gₔ#0"VY\ BO[Rd]֦1\WWYh1+)jkiV- wɴywUW]5{>F*MKSוOM] lg m\u%.'{0Ad3 2j4LG.6LTyx|D#~-Z2ʛx9<#ԒNRH7UQ-+nϥ שG_j!'I϶ v % OYG`E1nE9x4A[dKHLZޖ+eۢ(BhLνIߑId0NX>D(9GʊЛՉUV'(*>2"-@fTT1D#v*hO{%S{>RY)woޛC~9 @qb|XXB"ڐW+ G86EQȪq!1V#DTiiUF" #4lAZ+"1ZTC2"!QƌWcx{[)̓r"c}*dfkH*[ж+21lxݕsWԼfDJ-BIYѥҺ-z -)Ms#,_ߣizYtKuZѲ|X-(?b^J[@3rlT$yܶl4+ .&5 Qz!Jwkb ^$1 "" Wfi#*ҪBQM!HDDDDdDDB1 )Q""FIdG>}3#hP^D44Rkq'xQ °dĽҷnL^yjh^wB$ijhE5oGt?^7%WH~Nf [Pb?W#ϕuշ,r=-߹+{2MC2lbŠ=kxj~*; FO M~ܴfTvIz2𓥊X)k&{ChG?4\5IFj[ˢ~MԄE5O5Kl"%9M^4iYItpk BԨ̓TYW]EoG&1j!>}j`. LDjb}v8D$FiWBfT4Z׭E0&9Nr)vwي\+KWU@0 5MAxDB?ED7)DBt}3rl%\kU&u:P5A9o}UZC{ʌKv"$n+2/? )ҏ(-\rdcHh1t'r%h)vlZjȢԷ'hQ+Ô?DiDJ T+ #W}ܴ:*DͿRF+ :Ա/k3d䘿Yй`/|`?t˳8H Bv.D ۦM:̣DosR쏨Jbʱ(#kk l_euP<-TZ_D+y!~J=Y|뉁A5n$wcܤlZYtqku}y^%\r:. 5_VjM)EvR / >`w;o9NʦϹG'aT^щ\TRnܕe6+c/x-h@˰/i4>P9+8(L:l/}p@; sF4Ir_Za`CX^tp$J9wE#./hvyEzSTE__:+T1i:X*k~/Kx}Z5bҗcLT4e*_B! yPZh"tJ`+K"V>׺ T: µEqPčP} ~B(՞62V)hz >c@ ϡ> 9ir$[` mֆYu X\A>CLf)ZֆE.jJm~HMڨk\ݢ_c_bU`=,HrDž[)-ZEyqY58-Ȏ& {H!ji´@y@Clb=hoъyD7Ԫ*ؿ0 2̮6rB /rr %4j:(o*# thIR?喾TyS1YTTq׾/LMW ~9m:B%PyD}k[`E6Tqa{kz=UذeM| s5VSI=݃dp7aT3/5hMP'Z֦q$l4&>&/)z[7t r\ CɻhF5:;v[VtXI.`v]43L"r%/pw˨nQW[f&vg+tkU澨)4EHvvupjIL{^éYtq\խOѭ/m/wH k8) NJ:/KK4[`U}|K\ʤ/},b^1IR;FA"Um /yn޴Z«=kJ›Ic\ل']Q=0lp#_9[I{q$;i#&= KP2-j4}D,Jѿ1(dTduߒf936%#:vl.s4VA&sVimч})$ʋ2 {R;)K+6JHݷaf$,PW򟢟*H9/V^OCԺ۲>ypk R~h":-}rW>]vbJ5o_$!il>F bYݵ,RFmKW5lu%X״%IgT[^ư?/5x^zYF1`~ˤmxDY?U/ɺ,S>uQhT)~Y^}Mr.C3)"a2B:ʹ Zd9)"htuUS&g _y_32h%J1}ߺOѺx<ƣwgNK]_,I/[$6I\ tr92`t<ԫSF;); *p >:?T3@)/E>uyk>Jަmî/HFEh(N 3 \Y%O0H[ƱM\Xvɰ_Ȣ%P%2ծ>Dio#y!Ceѫ-:ȥi)XՆEmSgֵo}E+2J!$;*cZ65i'ƚNÄ ʺd3ɮu$~z_"^j`3Kʤ͊ӭh&}n̥md̻ bь}:եⴱsW9oߪH'iTݣc 㘝?&$vѧaRG-t9|JF/ #ؑ!?kX }ϭFe^'OWm#-nT& ;>uSmןmceƑkvW^3騋+ΦKr뫌rjzK,RR9k;j2:\ BW;ٔm܆ "gZ#NҲH&Ob?XT6]$똂)#> :lڣ!Ll39u1!)bõŕMM([#0Sa{78H+7C$ANKySO앜3MO]"k*>£en]i.쯥N{NђkڊӰ%9h; 6n?8^D@8fŋ 1xL] Io5>wn ;S歏!)@GɸH=vqtW%Iv-)ϱ@{Sy\ǹVbV4HiXܿ$BzӦ1zEѶ(3w .ubEmaR^7̫g##1/}PrEJ]MzNW-Jk\4%hd5bݺٌOQ'QWצJڰ4@( %3;'Gݕf'R꼏SfItM(i~w Ng5kZȴȷ8m*JƯS]p"¾9 +T2j)HYuFX;>&smZ'^İ[ج+օJw4m47sR-]YGYw ++;0BDڸOZE/ N/;<ʷ*RvU]8oMԤ8~2 %F J@ϙV[U籒hS-TC$λ[k^޾tpxR_Rvq>Wm@~,z0҃&?<$,36;o5ĎI ^zBoVvQSSו tQ(`K^ "GaR`r1y7MH"r걋d7 SRgmaJȐ%*%iWABP:[]5LǙ?ԍ7O}(l׷ʭO.T5E+O~k+al֕_t"?' ̣$0%ɫ,MÈ*J0Ӝ:>MaI;v%3BHѮ`g;^3/!}sV1\BPٺi]wѫ !jR5OujSTJBP'K3H01O S}G zH,*`)c^2$-zc&kv|aEtpߣ&4 z=SSAOq?\5P\P!rSp_$(:VEGyΒjCv(l 6/=bm*^؂cr쨮I5B{Y3_[HhΒ>!X\w3S>ٲHg*j@ÐcJzKbЮ 9t,i(ZLZO%,3rRumwg*G-b y~N J$/1rWcVWKJJCv[qRJ6}.r/qLuF Z[j~+K+hh92n@?uPofY`Q7[P4~oKM缿&)—6oW•9)KЗKdѮ ".QS7ΔedGWڳI3O.\9=rӔW)j7 vW׾E E!o" >=o]P`,ʸڳԻF9|_M$mg=~ ܺE,bܺiH+ H8BHgB%Qȵ]P[gTdK{tYsř ^TRĦ^@ww< Z3MB3k/㰙s\5o)Us}i^tV7y|)Z H*sojJौ=fiBpd1[NrĖ+Z˧ty&s5qr$E&dBOPUG  #=.j)LQ׉n~)ʂIcveJh@8mG5|~2L޴#1z{uHZZ'FZ6Ae}ҢTZK䱿Q;LW$J ȧyG=A]7Q jxQWeuq/[to; Ppc9tgz\AUׅMf֥&I]m.{u{XF}-:)e'z^UmqXD'=8'mzۨO7gU$NŭJfrEq|w%]{lUnDoa~ UBtέ?7m0W"GrA'`WUyeT!-r˾$brhj>C}XʆwRާ-wGݕa 5Oy7N򴐠%irt&W^L!AO$ 4ʂد+c, }JZH;o|.|R_c i6dd$MNSVRS4yJUG)*kFMuQq7YU+(׫i*w([_ԗ}nSfz-JY%RW7XC:[Ư;L*ֱ\> >F7Ӡĺima_ĽJk֓&EwZ63`ֹ{T_2^3 ز>#p\+įB0J8ԫovlhCzgSQ+#7(Csd\S%m=(ĉ[)"*KvY5gĥ|)X,k:7*pǴ*JūW_#$ȕE2f[yсv%YP5mc#r~Jq={Ľ8 mU) y [o[O6/|Ibީ?ޘXDPfYvVP6H.B c9 J윭\i^-jׇYL]YtmpMu[y(|v)0.i3Hk6;RS9!R6Ip׷Y~K?Umh^$)~oy:/2мެ 82 b@ץzz-ZU!wuU_KVyhPVw¿m'bIj|9fDK7Υ ȿoBlr\`އiU%0R^wy@|{VxqfAUZf( %AjGY&gyefllյY?YLZU9IS)>LRԙf^S23l֕-ZH$25 Ψ?wpaoB^4jC8ߵK ^Pe\kWNt:M@=N[-k P[VtUWޔ:Tf"K2)5.{H8I]gJ:ֿUuG&pֵVU>mT$FNKJTjZb~?V^DB#YAe[ԫ #VY֍Vj. }nPԩ sb>Ee3`S)FPKb DQr1H%٨.Vj ŝfD~͋gFӍb?ƶG7(cM ;tO1A (Xy҆Xc)Za4$JriCp$o!Qg$ISrgY+jJ}R"uYE?˷ :+6 /̈́C~k,hM脏%."413iDKWyG+nYΑJ2uUrMMaع*R:?& .̣^G>KX jP&NfXi?mK>)cZȤioӰ s4ckeaT3w]}~.,-rʜOug}jbh'b~̤'O*-zs\-W@rݦ)d|sɿ,-X<~N&Y`T&YSwEp%3,m=yVVqcH%N몙j҈AhX'ċ\*+cֿ&)<ܪjٱāMweqgUu(kp,˲xVQM{X55Y'U`]) +H^AJ2^#j4KB)Rit\U-H~”6l =|I2ͷKjUF=k_%0aV"aߓtK|ԗ>&"F7 UvF]Ve VQKS#z:c'Ėt7{0񷏹_U97ZIbhzj5?wYJUQir AY8ƵP[2@^_sՍjZks62>WgyBneޣR?uOSz|s-~~To# 2nG`ǒ#mc8vn8UsY(x[~4Nm0_crMX-JBpͭ"r8#ڮkҋQG6Hm#Y~+`nTRG9?qǩZtJS<3g},=J~'u٩U5xmQ>]4.#|9zd4κ>7tuDEInϙLM򺤊;֣l'XDm'[_H,ɛ&$۪< FlX?EK+4uaAoPVmWVgs[Du 7Ny\6 r/]XaOM\v9Aq%Aa]Ȥ|K % 4qtgammw-[_꾚x&pW^lbZ)q%uDy{2 00- ⼰ []e%BP&2^Izee]%RQuIVxERp\.U'ty{{_V0* -/(ԺN"ԗs+<͸IBv~Jh6R)zɋLbeXfhKQe6z&,k_21kA*dКAoV>n4s\l°:˒ZW9 a)/TqU|+">ȳ+#IG-9} ? Mu*P ܬ)V|F Fn 2+*%ys7c9(3v5kc=ؑ63r/U1ZZq r*/ℒ-mz;uLrZTeZ%=I*i%OYa_BdR|%}N>YZ,-KM:ԟ"P?K:8V_歽zޱy >3}39m#9n8F"e59\Gt a{ۣfV'_ K ;>NE ^(Le hbuڜ\P%HSL"܁Uuem^ihvTayVGyZNCul@*kaM#e *Ok&\"5%]79Icۯ2Mѭ!iN5fxN E_E_bބG3 b"혴&fdmW$^; SV%HN~ZF: /Ȯ~>?䞋|!!*āq n /=5Ì"|Fe'Ű^*jgA!i[ BHgWf8'ɕmha\E=1_t9P^b'$#F8~]a,gʚ#zGMŖJL]eCT$= ep3rLag,UMlQ6 {K#Mȣ.־j[vӕ^hwE;QBlwLNQhyǭ>[5IK{vtO?Vo*$*!XZDjzMyfugcy@u^d8z1\rʥ* *\-_O%}RquHxt_%Y)^yw8oю`RdI-Gfr?ٌݟJKȮ&^kPKm\ݧl[[va=v?>w[g=3oq0R@hV\_^4 K]F{q rpFMcNӢg7ئ>d/[9pL[|%1!Uj k Yr²jL>ugó˒ֿdM}j{|=}!8吣^QnaL/;i[+ (Ue9uRH¸S [-G-;{d$,QRG#k]k){!z'܃56&s8X3G(q:c|Ws,+@PSmuokDۭ+:Ue ϻ6;%<)O@uj!d-列99(iq'_՘blvO]rՅ>R+V󩍃, ]ӗȡ]y}Y_M k}m*"u6MԖE_1{~Tikؓi1j=(Qb~LH`QDiVQa7oO5Dw$a|!6'N:**N5SvѓR++{өYvKuuYu1"Qpiap՟zmmfUUwqGO2a(prws<$P##NeQ&ɶuS`z 2/b3;aHTJ.! o@ qbC:r b5MJ?@3lpG&ğS0&~ dӋxJDr_N` ?;/ɫqX s؜YR_xU=W؎ˢvG/F0Èi-Ɯaf oͼ!Dǜr f ĕ:KZT VR|uPk4a#ם4hm}F$I $^荌lЪ} ;:Nr~ M4ڨi/OQ;Jj6`ă嶦Le-+["r3ZR8&֢:g-0B߮ҥPCĩJ+hY-ISjaXK(sfD/F0t?])3w"sr[ɱ6GhBl8EŌPMJ.2a0vDG!dm&HgСB %VmtpuATS%27b96CNPfCISt?:MP׋mÐS`ԅy]Y}5< Y&%xt_آ3H b|OHꘘα(ȃ&O&1<CD'\YHjZK)dq Ջ\iT3Nc| 3ZN-3q >Sncw{(>]7d 쳓Xju0DiL%E{N"Y#Oo1Myy'cN`.ǘ9X vnˏNn?$ C4Wp!1x%Q$ԴYz#Ktٖ"v0ޏ RL}&Pʓ!.d}́L%+n7C'%j)CBOAm,(Wv;P2B>="%a}G=`Dw9}Jm)MK63hUI'!~Cִ^3_8-sO pE8\8]CQYO&o8")TW)u?G(r 'Ħ¢/ߗ"adfKa&?4E Fa;҄@gjcݿMgb |J!d>cًhsI8G5Ԕ|{ K%)R-2nR=ODP޷+*D5zeԒ]&qۓcxH& i+?d,- qaлnL!_쏥jR-Ij*ȥ=sUaT5){ 3f`wf ܑ%H~>#=wt"%s]`2oF%$4ZZlE,=f*OAe=(nW|ャ[ͥcڷ#pEVkiUQL }v)aOΊ%!.潚L_}+ʵ>$V;HaREqjMXZvrITYIbVDj-κɴGOm* jaJJ(E,P縕,8 AaSi{Zu|'gz>Geo xϱ~=@ 41t߼7=QUA6S'έ4*{%tZꯝ"ԩ}#ֺ2fs{O >$]îTQOF@4c 5*kVe 3[ '?d-\w$ZЖ>`Y#˫@"J6-16 ."a+^XkgAL*SoЪj=kR$/q$Le<6YhwS$/iʠty>6A=꺘2 xu\8cm暬mB&+5PdQF~+9M>$wZ&7~l*^-oe*`ܗ '*U9Ną>56JDo*ˠ l\>Ifs}, >-JW^m<ٖE>)ԙ,SOBGf.=D9)'XBSm%rքcᅰ@DYZF줉's. $iYc{ʨZ*l_`Z 1p-iOܗ",֕[ [(6j3 ZˣWhY(/cG2]Zצ)yW,l}J9MQ;q%oIVg VeR?U매':CAt`h\fFj*GD)\BHJ9VU{IjR c$ٿM|p\TZUjyʃeytWlHAqWAnT\r!6)ӂFmz?峏%W돼ɣ5 [$֠˚l7{F/ɚCvd%E`Nh(yXEJSzjy]ѠaeyMߩn:ۤ>Z7Ip:,|%̢AϧwhԈt|mɬr֟).G!kR@?elU'QW]AUĿE/xG%iRz ‰:MKd%n+6]ilL&AYU\ձ2$j ĩ%siSֳb,ݪZԭ0Oh_BA~JDIv9MSH]5,RƷO;-t{b;, Z1*ʌSi_彻cs4.g5K-s$ݦ*-^o2JڥnB>wMxKeVIFFHAD5gvmnXfUd|w"ȿ]MgATAm]65*̑ϭ&rjLLvZ,Z^$ͭed"g؈uV{52!%yv,G-,Ӯ-)#HRW @"Y4|;(1 :߾5!T3,0 {|ձ[k$Ņ CE&z'2A[`yNVuCL:&K5%juZ^Lơ[ rɇA##Hd+8*Mk*Æ;F `J }zOQשgZ8ɮ?T "нh}j|>MC( ﷪v,Ӽ+6ϥ 26ǓK#;)ʣO[͓f/zy)摉,#?JM9m-z?+RؕwPO+R|vZFd +carRJ \ lgŊ}zg|.{B9khF=짭 U\^$cP04笊R5/`ۤJꏹ z?~KԮ(8mJ֏ 5b9m)Q[_Qqup)\Ħ+bkL'MN1T18ƫJ:/k5Co]-"KkZKi}&jSapjL~ꊔ4l DY~kM7OHBj㾴(պZVvϳ ZT7HM4OS1:(H¬?EŷqAJ엕1w~*>B;n:U8[k:*6kF& ^[*6oy}ykn: -[Pc+c?urD񵊓޾ue!1o}LHYRF ~52|ڿuTaT]*"rԽs;Hw2Zd͆hdIG~(J[U.W*5`[UP6\g⧿'9MY*)󲬳VܔcTUE{[&1D^&@oVDj5TPCmۧ┤^RdɿcO.v'*Zd/䉧h-m&ҡ$Zizд!lK "O;E)([FsjT&;6h}T\r>TTE.bؙs_g2u'jX|eƝ4t?m q]ͩP\m[22*EJU[ ;SY zFi"V57P_G;I-<'@`s{wrz[1ZʡXۛЅ1՞cMr*G-DHWܷ<.ZtȧK?S5#eHeeu[Vj,&I(>9{,/"{̔.#vidW2[f*ʋĵiOL& ¿֥LqLrDKyZ&,:B;SG.j"'lk7 H>icԫ.W$l8-3rj]A%Ph6Ax[vtM,W6F5k7qj+ʐi|*2^oju9,λ/}wU?wQ.[$򮲴+x߻j*\%mHPխ=j״v=Sb9lZ)‘j4{q\ 7h΍EҸ~{-IKH&гmʚ[2f#7, |4BR{\>$D7-.Yuc@VMJUS';=J$f6?DY a߫$/L\nh]Grz^ NhL'@'PI3{\aI-:zF}__ȷ鿻m=ff5 ZOj\%'OsY1L+'irE[֕񾇙^YFy<|lJ; d&iG3ubݚd/ }CΧ﹬cHծqiBPZt_XU(I#P)댖(ͪIq [Yw9mQndWT5^Rs_0mRmFXIfY]+Lj{o]fMojtpTe)N2O[uv wZ8haU xZ}SQK׭ m1~ *iVl\aItZeѐ~ *VzCv`ʫb4 ߊ$sq]TC2廭GUUe=i6&v#NXol6rbO+8MaC/%tQTݫJG9 !غ 5iO_a\Uwe`L5{V55(X̓g_B,I&L#6IQnDIXN"̛3JOw;JLǩ&H* Iu^ ꇾ8 ֒Ty/oow%SS' 8_6$RL='[8 Ҳ}tF!@Y$x(]VcnXMl~Rȩ*F}~Wt%SjetWeL[eLU_3/qK[yVԆ!Zn : ;Tr5WM1tSлdBع+ϭꮓ8m[8O0%6mzDZr}5-[sZuW]'"MJdm7kRŨbȬm]"wߪ]VQRߺnGο6oOGκζ [l7ohߨrL #x0obL+jC8sQ@Ʋㆫ4NWeTnބA0LKDZZ#꿓x5ցNIT8Ŭ=fssӵ}n& ^i| 2I[(*Y%k=vPߋ3tYd^.ZyXRߓ\M^s;5rRdD*dڤN //7qmNySQ)˜*O%jXU%_5/%]|,ئ +/ؾ{yoKU]gѩ:HOJ'"Ud_7P}SX6k|ym@(?T$Y49#|D[X/; ؏Mkj\mYia<' X81)֖Uꊩf0(nn) )ꬺ;K ݪJLB[g+1`S:eJ1eg9HI}b\kT֥Ec)ZE*Os[%m]ZڧI|~n:>E}lKpDE-|-LS"GwkRz6o~꭯"v]1~u}tN9^/]}?θ6ZZZE ykR4fw޴Uw`'!J3;K@ȿ$jL岻4{;3̫ǽPYiQE) ZB`IFVzg}\”%IwgE0c* SEz-ZеD>lSck Y5%W͓_+_2ԖMA.5R?(F+KRVl;Kgܔ)SjIacꪮ*{ qEFA9D8;'tWwt& bRey_Ց9Xg?ՓTUי[i1RNVɕCNU57Tz^vSם;ZҶL|*ڼ+ʬ0hԕqrQ?| F#ƲΓ"/:CN_:0䋎}!zޗqwֽ:ͺ_ZW=-:&KJ.B'\:dE,zmɫIEUYyO0b:?3<ӄJmr( WuHq72ڧæ&1Ud t-QtSNj$c^Iݤ[WjZU'SCB8OC*4ne.'Ye#DAs^5!EMJbޕP+'90f$y]&d},j=%Jn=]ZwO#m-M?W{Sf}Hn;KS՝zb)궝kjJʱ+{&;Tӷó){&= ,l+>'Io NM.&+Gu,HM`>#T}k~:2?kB'5lrǺg9;G]a`Q^,) pZ&i-Kmw5,Sk]g&=c`S1|S䗫| bO1_ۇ#?k伈JCչU]T8E ?x_!|k&lk5ڨ.8wQZMMWS,{rY4z[aM]؅S9H(/T2䊇$-3⿴gQe?a|rUOP2v٦#ڕ,*KI$Wq~h.lݻI<g齤q?dz/zf)7aen\,cV)H&tKF!su*"iwQ "|)^+s*>aihYxWaTImT#fmYD ~5 _8(_%oBpfuyTUhOVaKѨO&Hz;̆^DFӔoELW5AmUd7 7+OL#ﰌr;}ʮҨk9mktP|װa%I[ƩL^YN_V^d]GgD'TW"ܵ|8ɓU\%x->nf)gwZ;q͕TX1p_SͿPTEqQD)TF{roWŽ]zGH8;UFN7,CoR4C/i)/GԊYKֶ,;"' c!\4:H*jl !rpTܥJw4)S~LKvf'LƕDMYULW#G-S߉GlƉmW9Gw]qa޶RQHMeujF-h;KgM[A$2CX)Cpܤm+ojT,Tv.`4uTX}--(iڝ+Y"h,WiFYjonr̪VqMoWfT ~pRpr.†1h bl5Jۦ#b-ˣ[$t }OKL9v*k1ݲնJįv^g!sR w)<]^ÿarAuSqz%],IbTЌyTߦNrַ驫KzkS`_:nn#s@>7e>!Ou6`]$ɪnFmCZ^tju)ٶn&oV=iҭ虆5G|u=VfutWx:olPLRGqRoҹ iS+¥Ȗ!}T]ORy!SYgYUqYG=POֲ5 D Z޼1m<Ǿ$MF?%uX.辵I> L)kF)J1Γ0otl[Iw}+}*:F=k_{wOCߵ)[꭯nPՕyi@fD|,|#U5m~6S>+nu=:k6/q%JwEq~Nۆɱb&+JiQ-*WqD;"`/lj4wD?!tXGu}?w^gڔrϙV[%@_QoaG}vU~]>YuV۞+3T^ZT7օ)tb}j%En\U1iO}r˦l͢sZv4.kT4(+<7M" [h{ZX91I$>]Cti#\ӹԚs9+R/gS,N|Lؒ11<$ cO495{4x4dң- IڇykJgVҩ)c4𖭮jPMlCZO*KsDԿTQ'R]5~ChIV5&tu/ljֱ-ۘ)O2ΓrL{*Out{̷?7auue{QdwkUWViCY ,mjtCln239-0 4~`b>ގ~lQZ=n^;Okh&ap;JYdS('o3UBKV\ք+a^kViiqJwQ*r%k軺JF?ueF#&e r5Wwe:IrkvnRrML_⨉*Fsk[x-KI}&@-Kd49,f=gXvv(z:6$i5^$B\,`0j)PTu(Xğс5}ʑ\ѿ55-"#;Li:OZ?6YbJ{gYi=lHRF7{!MlĢ'QWZV%-q޶*/W6ij|kY?Űrm-Z:;L;o$w|ʒ.9Oծ0 ߮ *N"; @7(U넽{p'_xx @\=Q'~M9YL)Oq:x\ש!eSAkd؆PuLj} ifECy8\W%}'}N 3~ILgI-Ҥ'A}Wy2>F7{G=maDw V5**br$6a(B`WU%fawu]qQomxRGYa2vhMR杫YG9 )M. 9!W9BpPkWȓ`PXԯEy%]u|t51mqmc4$ܝRbFo:CGxPITL_zy>6=Ot߲%5=܈TiEX~$[ĖreZ 0؆#RGNu9#S$z< DƵˣW$R@j[CoTa\e;߻*# ԴSP}'Q9Ic~(\uմK*Ľ/QKza;oB>5yxۖ1:;1̛~w_0Nߩb-,c*SܿVA&8̛b߸B'UvJ$ C\WCeoYFNq=J"D96'Z;99H>}Jۢ7Kj҇Td&5 w{>Uo0|WUaF/S|=)r; _]u~ 0ʲjyeSD[>b\ynLU%<`l]Y{;B^EkCdr-⮤Ӿ۰oQW} !fSe+hu^w=םZR%BwqQ7eZf݆J\֙T[UGGcdv&ϱwRն&lմuX|J kΩ*qc|VufcѨλq΀*I r"'暴ώ|;sh-Ɍ+6.曢i]]єʵ&;ELͬ h kָt4]IJzؒ"_ʆ(- * JkeqL]etחէb1Z<=K#J?g$YYe"<ң~S|es-xk4`q]]ׄ#)M*`U1s˚XgдM;|-3̗*Q1D_ݶZQmݜV)iy5PU'D.J#4, `G*X,^EAn$}JpRkvK)イ~Ksy]ty9NRӚ8hP\{˪ #^-~k-;̕m' } KdB\Ri3:0+NE}JZަ򉳥IO֍_pњI__dсGg',e CM Pgr0Ը'NtL?⸩$'n*B˥:3.SJBp/NtC}~I~_}k|k"O[^h\Ҁ#b[d(8~鴛,(mJ-Ⱦo37O^wu\l) ]G!'خ/ݷofJۅGӦQwՔ(NKD+C?9VHatjo[uC55Uf$OMh1t~(Vyeg^c[}n7~f)cRR^u#VdoMU&y; ?u[sUey|dTŝzBggߢ8+sm7˃ba_MVZڦ6jk"W6 b7Jp0R2[%UmBD;KU| Ӗ*&jt;SwC|B~:~k:oXqm+-Tyn_R&\7죬j,s֍r%#\&(:λ(N_2u8x]%u[pOW=VIЩ3̈PBRVM?yiF+ .ef5D#^&kG$*d;ƕ&Hy*v5ejiBqpv>]Bj#łΚpuvJӒ.+kMeLxWyma?UN__z=a&aQ[]gZw y|)5kNE3L㲕W-;Te.KO_zWԶe$&)nGɩ*SFZn,0j`< Ue92h d2өlr$[veL6U0ҧmQ|ۜ<(bElW$gt5~JKh>G.GŠ~Sp51X)p1h]dZնMH_h㬸|r%z䥪IK3 b̢ޅ$Qy!lWYBn7yDPaf{fDjAb6uN"m*[_Й8*=,-)c%a[ןrPq5˾W:Q^W!ykY?1o:0&["%WՕ5|m\W\b{ԩ6뻖æM[]gI%}J55\b5cŨO[>TcwYT b댹Jj_)mCW9#T޿faw}ʑ15| +w6a]%X`mee;cd{q[cL*ʽ:?;vc^RҡmR˔u77rê {(uMu[/O;&jfŽ/bgHխ6YZ$;=;)őE:>2 8s3;K"lm՞Q'𨍚5`2-GuE6/pGՕXSLݛPq}1zZ̚0K+ά1m5i{}aߋ*,24buO2>vAE-W$fNPc&]GAJx]e=D7*ck躨M]W/{N_.mbx˧Ohi3M5]UE#O[aæ#TV"Dͱuuio;O\A^$}`NRuYJn5[R[$J*(%=λ NhO5}#pMc&Owm)wU 2c4~(yZO/ ;"/U/󈮢զ]9"LB(NC)ib',OgǾ3*"ե4uT;*beI[Vuh :jjKXȏCue>o4{j˫Zнk3s]vOvob!0) rt5kbQ\:N*MRXu`UG/Z'զTMx7+LuuZU')U5m| <-So|nV8h)J%mg9Fc: Dj 3l7ZͥێSq\4u7R\ֺ?qWeRC7B=Ð%~1nK1Vj諺}fm_b3NJӰcoߋ5wu}L;?T |.P국#SeU)PvUkQe\SUdY0 [ֻO;b׼?V_S ))cY_Z<0?g]Zdj³::V%^Qa꘽#2:7LC\ ,wUɳH]]^\ZTP䛼ѮCuAEYzZjfx]+,*!r4ymnu eE[^{Yϵ,ZȽ.b$u=pXJ5e}m݅$.ӺϦlk7' KHRj21ͺGYeS&J#'s.>Dž*z? `j4;K~[oS_T-bT43Ue]A|IZ9kԕ[f_rb1ʖҹ-j;,R ڨ,N25%:;SMhfIa` 9]_F3*J>E#~:j7*,mֲl[?]Q&tuVe5aZz(i|m:NnT%dvľn_z)% j2I*ꦪ *ȱ8MpS-|M hN`)n*$nڔ$xpV,:*+x결Tu!KƮkK'cVUF[whS}-GZ"y#uNSsMAJ!|)Zx+׺oKW57{ӱ3VUh\6D_Km;}1ubU:nZzVJ~Hk W_Bd$B?ySfuMe p=iG5XZQN\ZZg@fS-i}>e.Lݾ&u|kk9bPDgVs5Bg+ԧqHmVT}D8D^s[ĽXPT0G^HgΑ{ YtъbR[\ }pyd'LZtMz( #SX{Du`\ח)Rd(*Җ|^n_u!O LP]_<=o;J3LyNJ*W=JTY|QdJľ} +p-΃EAEnXJ4/+K4)clض٢tZUϮ+r' >V9 gkn٦5Z7~|OOY'H@O,iCB6j\eqUf!MD; S:?52Σ鿇Y iW_ 0jK)̛?7{쵫K}Z߯,/&aE~2K=.We^Ofs$>a;C~bջlmf\5-_҆}yߛ $)h.b K:V78 vK;lڼֵ ~'}Z%F^5m ?LҪǰoyݧ9 koevFztYjX^es?pD{b7E>7o&a]tY5k!fS_:d}_euLRe3}mҤkD\ 0tKÿGٽyv <}Р- '¬yYSGܕKK@yrE~ 9,R?Vk?DV'E*-R}i>漏huA=NU9Rf;M f(lCIj5MTjZ˔wT5U* [ vW]wQ)-*b_K`Uލi_9ωiC<{0;Iuq`γ*bɱ͚&l}[^r{p!o x,%1xg=*M?752}H-O}m5Y9`\vzYS񢘇Y;9+^I@kIkuF"AwJuTqWy7k*h)͢:릓/rT(hsk_B.jd7z%Tơ[շ9c+R0oSG1&u_K* LG\FyS^㨚2U\d&Zw~NcߤMӄڢQp{ҽ~k̨&Bj*j6=LZ4ZK:Wgنm[7*l۵̓;j(T6 Ok謩./re)*Eo-,*1CNu}mzޔ,2}JZ.J}J 3\W:~VQr| Nw*/8.5eب?4AN:t%MDyXufe$MZeG s18 8;~i#JZSqH)#=~?:CD=Ī&l3)% y(K".Xc<3Jt"mǑQg5Ḽ>ePU;G)z%)40##֞˦hJ// KܞZ¥m㦩/J!J%#/jX.l[ ڤM+tJ"JΨMZRdri]XWouxuќ[U6u 0mr<Dczr2jİ*.\yۯ}Z _\iL|Um:➧M 7LebD)KV4?Ī8+s؈PVwE,oţoWwcuXOEy׭bn9nޔH2)+kѿqw4Sυ]dt)XWE,MYDfsQ t/59aSN_8vosbx`Ⱦm197$Gm[PYUlߛbEQ hjǼN[z;iT`ԔV&~W+<̼%~jӶY/z*)hş|K*mvW!Q[eI{S׆)*]WCgƹTyWy,h*H_z)e@m/B//o+mXgҪQ|Z;k-Jc- u[%[SWw%`kE}fVEgeRe__Lҭ wg f 5Υbؿu 26ήL+"Ҳ5R0/?}@F9+-ez[A%lq~ϹbT\%I3T8'K\4u2?XKS%}ȗWA|k8$+ZkChBԿoD$MYm?6z_J%b^1N 3@RW_-}5 j5Kl<3fJ­H;ƪbi>ms}lF%d*:ơQwi+R-+P(z/}UW]aWZ"ˈ: BoqkISCi$ݿZIW_Z'k²#aUMعqnmUIkv<)þ1NjundW3Je\ReyORGwG,Oh6ٳ}:Z+ﹺw|+CZeOƊE*hޢڧXf**p32tȼ[{zSʋz6yWeQc$ٯy6ѥ*߳Hu|c% 9n^ߓ'KP|,R C&Pe|OͦRUV_;TgG$쪮>ܴpRD1p 1 HWMBf볬]UZEYYxaއ%ZȪ[~D+w孥|)|  G^Ž @xW5-È%} c3ZYA!y YJ_b!6%j.Z?d䵬ȯK{Vu]|j>Ǥ/zj[5m[/p>x4b6NGT̀uݥy;yp_+ j+v-|cؾ&@:m[zzJf*/;,1H2+ - 2FѽP4>slVvew5\Gnؕ^_>IVҜ,lT ښ5{5M; ۦ`Ge4%N\%EkQodZٿȡ>ʖ"S YT7Ȧ"^Sݥ }bw^\fdmSuIIϨLjbvۿ$}GŽoAc,AbUE4mRj*+Ӯ:iz15D5*U2QwjiU4u,b[yV4ZDɿ/[TU_u1xREE&ve:EzR5A8]Iyyv{Ϲ_p-x^Ie}?7Y_D3`ηi>)Q{8:.w煁LYeV5 aREgNw)(#'93{>'۫LGuX~]}t]kl{blh}cT,K&"Iu]|p.b/*ݗ%ʸާIƽ*I}idq[{vLPkS%IyVK6SW%$ * *<͊U9 Z[F0V>Dczm5mRqfM\ťZZ=ץlw|u)O~Łs6AW+DK)|E L_bsSWŸSUEOf{_h+ %yRYnbDÿWVl\/[՗A{`/->UΠ,+Nn|[H&qmdWQIPXfE} "kl$muu -ZG-*ϱ}z/l Hū$ ;Ȼ/}{0ɣ1뚭]?[RnĨ/JeL*ƏٹI>֒#+Z*M ϯ-{,>QvϵSpUϜwsvL] dk\Z[l*`i~´"Dk )o[5|/#ij%YruSE~ef9sҗ0B01 ې$j"zv7pUCv?Uib_d鴨KB\]eiOq!ii|xdh9 jϱ+6VJRKzōNƑ{]u*}l;ʢ0h}M}Âۤ@ϴsXS9|GTG:fE.ԿEAfI$tr;NfEmsTT$ \.ÇA\lVqn\% uW(ӎYqa|*鲯ZZsRDm_j>^Uoe`En1'A`k`G%tܸ*jEFcv_[ݽ}M*(memYh:cTa~ {S[5nk]VɘeV=cmN}[_¦-B>$n^ WI_ڄS?ժiRq CH̺m[VmR]P3t@N&F<&#;R IZź/@OvES!'hy^{@W4єWUo_c¢3@mӿui^i\'{򗺩Y$·H{҉Ot̙lrV:kX=?Fmu[Q&VUYrYuEﰎB!dv={X{Т.NkS߱BxSuɇ]-oSo^p{Z4N~{ɻCtО74{J5ーMtBySGkS4@`VU?rj7j8&fW؟7jmbʹ?&~B Gɺ{ZV',Sw519,/"h+#,zbJR.% 0v\|nTwZ= ˢ9olYISwRJ -R-vqO a,cVԾw-H%5~LOV?$kkXƩ .*9UUJ<BVhqRd492ذ+;spSѵ}|wTB'H ߪ..o;tT*|Ӽ"a)}.؅jLeE!I\5aWKཀྵҚ?WЃ.;Js  r`?&urh%=;U'uHzEPCTz#{_K^Ov}3M X- B7?w0U>KnY&:qeiGtn ܔ'jBH?F H[Ni`GkQdgy3/:t}nPZV~g.ܿ~boMMAXL$Zซ0ct|k*fX23 G]xE7Ir612'qe#(oz\c_wU&e\-9[FuPeklU #H:>5}}MI(Mt>14L&g}ytj`lT[Q;'즤 J)|i̐ æV`U&+X霸Y%KNz*opmhI9k#N->fYEKFIoyٕr*b-j<Ջtel(++,̶ϧDJ~Xq \ܕml_wevX>+ϙFlOwU]Vğ_9DyXW7Sxw96/ϭquR7dз- .Rȭ?3Irle1b)#(ʻmq%{} ʆkX2@)ڽ!v]V 3&IQ : 7F/ƼŹUM]L'[~⨭RVģP߷k³# *ڠ4vts_.Q}oơf~.ǵ?Bs ?DDGrdbT˚CR)PSG7QOST6+;|gX>FȆuNKq ^Y"1kWcJ."y?FE`]_r+H[ G5ĭnT$4LUg5nr{Om[%F**-bʾuݶ-[S?]q^'v|)ȼYbN(o9w4FM.?y 7#kXE /[^]4tYمmP͜UX&:ln2LҺH C ~2j;:ĨL;vήKJ(s;[dnBG_*Ku+y&ISmW~ rx0nj5KI\$,>%¥&kZ˧%[jהyw9>5wJ#& Uy5HڨesJ5w]ʒ;6w=FxHޢ+lQIcuK[v?c>REy*ʙabr_ $$~ fH94}X%I{z5O&z qӸ>UY?t]U9Ln&*knt hZLf!W!VdKUد_JͷXZgGo oԾGcjf a(js8>د3cV6Ѧeq?tnRW5?S2*;{Y`RDeI(_AŨbĶ&͂1~ "^殻|;2>]qzوT˒bkaU;QqLߨ̫N Mێ19MyR{R̬j*¼koQuIj𥹿U<&ߢu d* z[?5'{ZZ0*E$'UtɹZZ79I]D%jqYɫP0L&_|,iOӧj"5 cP3hڴKz1/G;+V-]_b(o#Bd[-W@/)} K.|q)j|25I*墛dcܥJt$Xa 'YU-I&Ys'=lڡƱR~rɳ[8պŐ//{*DEfm~nK)F?ײè0-_ĭMI`iwR4RZ[UUU'l֯9ʿy*zԛN,ޯS+R?]{;t#|Rh;IULhÈ$GZZs$u ]^e>_ťX٪[hћTRT{K6[ʍNׅ6/h cԞKvWtS%Lӗ?%d܅AS6 "S' r:1j3 Vu{~ ̵0?VY[jekp"+s(JbΰN?Dܩ2+ҰU.'MR|+l;LR*r>Q,C3֓3jڄ,,7&Q\tfb5!0Kn >V{Gŕvܖq:z=l_cfFn#Eɓ(/~Ilzli$+CTsrnq7aI^@^,i#7+1\F|BU{(,1SfKaק[wWz}jR:(L+Z%/ H(y)DM:WG]cJT;}udwWD5aRV Ay%>孩{E-_o6#OַIX1P\ӤSJZV}VmĶʿ< ʘυ7d8L3-Z:%D*(k^Qykޫ)y|.[% uVwXUUwXmbuQfSo[OsYfU).t%"Ҿb@},F ҹ6SR?j6UQ; PWU3Pw%k5.SֈO][ve0zTX\I}o~kKli1_T?5V5Gf@gTy7Iy}>Qƌh'(s_g쫴 ^7SZS {X2jŶI1CVձv*Hb`zWJBiӸkXQLٖ}-Hu;%*K8n="9. H?m(w5tUU |Σ+,yNYEVG\-Chv_UϣPaE^g2xe-2Z0͵,ZTm|>We +GՕddW5ӆ,È3r~$S^2DKj).?VU.]AOxu]ɏZԁE9Lh9H\_C0`lj1"⡦_y]rUnbj#,cRXőNV5[zA%K+i#tǍxWȤ˚7γk%mj@̼+l#3,`vVVL CUT&3wVa__^&+]No'/u\d^nu-}΋'rnck,˷lfiY${UԱƽ) uՎI]%'ڻ%{,:雸)#\9[d4MӅI2S(Os곬joOhNXǁWj#0?{dqcmHtk☾)k6QS* ɾIXe^IG5buݣhCR҇ڦ5Hy\eMkDK:VҬj,̺2[Lו>~3nv[7dEL v᭏K>k :Oi'pz/7V&UAkU5yPWog*жJE)"J-[*,h#4,q- bɺLƤMcެIkr[]Unjb/k6O+Sҧ1}ouk]\^ݔfWREmӤͰQM> Ln!N\+o_ԡ==Jө%,X=_lSoWF~ɫؗ;nѭ#3;+zu 6yLi\5P|C[ֹύvfuYeIng¦ӔV[Xw%{M/y&i^EmNd!7-Cc.R5 -"dJ%xM0m*jUR̸0DнL7,P_<_Z!7-X;L6ݪ Ҫ車VuM5=Gַm4"lT5q8tMY[ /OBYIR\T5=̃ :T0Ү˫fXu}!}l2-Q{Š1п5J'T5)w]ԁtf`WtmUCZ{2ظy\'M[U| .Okn:-b翶Lơ#UZukvQ<ʱ:/u_Tj&E)˦8ec]0 KSTUT_\?5vg5.JR!|O3B4%Aw7_XRѩVZ>LZbi)Z'+s_G$4n }OQc6%#s[t5K|m1vOS6Ef% T+,zƺ-`RV%*B+!E"̾]{[FjF'lڨ' S[u<_T!. 1/+nީ~LOTZ&'Md-S 65 Bkj$NJԙa 7/"7Daf ʜoⶡR\[%U( [()4ĨNvڽl,)w]#j^|d'NX$oY}HYuy[_^tMbM7eg\j.ND:I®ޭ>mX]ĹG6lP| 3&SzT|}aV'}[K`z:i^춭z Ү2oZ晎f^w<,*MO DeK++)kԇ1l򪨦-޺B3n^øISp()žw2X9 #hf+i2{1CIֆ .̪,!'b+wDS%pճl|ְ̲˫*RV0iYpeg$١eEW%u_%M㒥..{0dҔ':lX\AD%+Ըͻ]bZ&5gΧY ^w=zSu'k8;梭 d?zQjٔKyq_6QU=26k"̡5/U);+c[Z2 NO覤ɳ[&j|KS2Y'gSՍ%M(:*R{j굏[&SS5qD.j\(Oa(x]ߵLj)雾r8,-[4Z2Ҍ 7&JS,?pZ5Bgvۤ_ϝsvN]x$5w PdY_qqc~ +HjVݖNZWݣl)dꐵ%aY卹keA4|N?}WgNɱs[?Wޞn;<뒨osfŀb,o%RTyRX)yMhghkje<Ӫ&n癏[qguAbw L+JH1l兀[#c^7,LҾ\tYŽ{'?mG0iqU1gG䎴hJξeLL$q}M–ߴ_OEf8teYm̯2mr%2oIW1*(MTt@tZ6I`HՕeCs:RV/Oݕuw}Mb_;&R>Ɠ;ʎJ`Wey7 {xο`^6r jZܢ=XmRtZWWڳ+kF<p}) 0]ƙPygSā?I -J*c.-K1!1ωWQT%|x\P1\/xj9y#Ʊz\gYMXv;m θo SԵ5PO/_oד* z!7[VKV0*4OSjgqEڠ2Y}N$¶$9nVIl"Ԯn?iep9>B*QrKSTTbIu[ >k?s:gR/+M. -ϫP(ڷ侾&X#13ƯzX5=H{Ywr.s;Ƥ?> ;.(ޢ<ܑ˚GZzoCsU߰_HZڝ#_R?MTwIto-J_=:r^jb4뒱Z'^GewoIjLf/ dը)Poxz%p\`~k}M:)F{vk{XyZkQ-UN| 3@% dV4a_d_ҫS I%Ds׋&-x7!2h[Y1wRwև\]WPiַ):ca^|rGn幬%kz^,-lg=;cvaF5W`ڌդ9RǺ4+~ů*5Ա%z$\$T(2oJ-?nIvԵAX⡵)rǥM52^Wg4y_↫Rn˨M fԕ4+`Wٳ[_i.k'hֆm~aR%^l[;tB5[1kZ]v*{4Jd3hڤ/ՁWLCL'}@[Cݴ-2]B-Bۼ cnM[{N$uU|sW77*򒒧ϥ,5w{NGބޮRTX{}mz_ \֩ R%JB늭-|)ͣf1Lxv/r\u x_+.=\:"1z*. ; ژLzd)M ᅦe7>ƴ#|KV/4!7钢}h\;˧C?Ro$]6E~OHY7ЩǝngU1bqC>'v,-J:F鲤>[yVbܷVKlުfcM6E#ԫ_)i#Z 㩯TRIg3?wtm^]i@GUF(cG۱1D7)&|*И)ƈ݉#NlLE"XZT}Hǣkh<~bF %h1sb_Rk˷J4D-hEpfl4 B71n3jZP8-n5o䩐E8x#n PxKJйWvw̩% 4٦ձj!F}LVd$rd% j?5OdYm捙a'Kؙ/.:nPe=KTE,ZsTyՂ" Nɥ f2mkv$UV֥`ޥ,SRHSuWUw*z[U}qT_t>؄+*[r>uEeTe)o+aY*RW+ğS3IRJ1autH1 2 6N3ǫH[審"L:mܯn]Teqz}KZX,Κr7s^ĿeɑY}[|,doJŸoD[QэJį]GU+SUdR%.{I] -,"\T SlF>yLH5!USXTy6(suK'iJ产 b>T)B "&ojƘ&H@<ƽ?_6~e(3HT[0$/D(KZ3quIbԖb7iH;+*t޿E1$VHU |)-jCYA`mrRdZYTY7%YŃ0#VOh-IJ@Y?sҸ9 /{Ҋ(fҷ0|?T/}jxUS86 'LVQE}JƤsD?ctBLѯ/3Ogee]HN~:i9pfSu }tV7yX~K .[<ߦ~[u)Cz53O>Q^Dcoh>ɳiGIWXR5`_,ՒEr=}mEbbmmU5bUNRtΑnN$$ĤoagS$OZvw Ҹ YeA`r9Fdgl]Yf(i*K%j?9iWݥkՁ~ʲ⩓]X:J2R$c6y0")nbƮ #ШM >I=P4X_3>fu[yTeI}hSj3rZ9Ҵ:l'oIOVQy*aXtc1t.fhZJHi֍.ʗr~a ݲi Qa8@u4rAO4~,WcYǐ1(fLkܑ+FXf Qp45ӴY@"4ٳ0^]Qxf>&A1g.S LGL߀k$Q(PJԊHijIqǩAm%-#}.s.Vd ׃!%Xc.!Z5fѤlLS+ij8ڒaw`j Ђ˾<8ɚ8Uл8D]", );# !Y auD"#òBvE4!ky# ϊ.?(F鳵MjÐo F,WT+2QOQqc h8)/.yBM%&'HǸݴ}O+t$ڙt?+6Nm:fq`0ȃbG.{\1Y9bH؁==bZ}G>~Wݙ|wNQ o/|$4"tPǓSfgV?= |\q=s23Kg̰$uRTHa*Er߭5]x7&/޾p=$*} 5x}is= xqѸu(¹a/xx/țv<8\唔ؿQHS{eXHX4*yY*&1j0$JρZrxRl+C- mͧ 8'N2`5@@@x/oooOO;Օuh4tıe>(QSBA%eGr$H:Bde2DU *B"B!VȚ}=:L5۔P2{!8ͺ4_N~!T!")˪do1,!?p" Ș*}Â8"#*Y8O0L9Ȍ!>Fnf?q.4|p8zw'''3 s>ݛ8!ݏ`pB"&Gv/U5C8{[ۈ9D|os +PɇiX[TV\FU,obmW SǻȦAIY,Ms$%dTEWAm)iz; ĽV*ɹit)r$k4깱#"֑{| Z-+[r9NiKi+GB|a"!>97!DDI=Âanxg7B>51c1杻5-.&p^&lsL펳RwPQ,:Bl2AqD'el*&"0 Zf3l۬~+~LTt(R"RV?L4B8@(~c?uW)G|7~;npG(ԍ"NOm%ïl/.x\xQ":TV&CҺlm+L!ՌڵAwvάM#ncuGG#웿)kf}ڪ!w=q(?UowT#?9ίjֻkM!mZy7ܵ{hvsCݍlr;Zyi-]rf7~JK߭ٛ]P&o꯮)42¸?b52)@U);Ć4M:ȼɛfaVYfL%@~e\')gb&lTyYtR`§dcT"U4cm†4;> Ԅﺮc)3iZԧn2gT%1~`حjk%3LJ6SxA2+TW,ڌoh6i+LJںJ|J*.Uۯ/}IK*|J`[V2lFTդs΍l]GEI\Y.]Q/XUyqjh1*7m:=uf֩Zս"gdy2J=>';dѫ.#0ƹ?:JyXk~Z;cNv5};J˓\5HP򚧬bt?ݚ])6vDuUط<*=>%1Vgⴸmk64-2,tp_"gEKӥ$M1*L50Vd6Jsl8@! Jrѣ{zY^9J{pʶisƀ2k(=a1\EU}*Ȳ "ȟ/ T(mYaQ'e6:JIz>i}HK K5[^U޻;/$ĩ#Ӽ'r>yw eKqsgStW~K8:)cT-m~rKVJ) :jKf; BZQWUVf'QR'|vtu%cڤ,Ǝ,r_ . Ը`Ů&q@Z l6H]RW1M~/PKTsֹ+VͲ1WڅI% 2tʩSYY=ZYn}/j8~sd/->}n}uާצi| z u\\佟mXuQI.ۤ0/+0: r ˥Ф*R$}KVZ~y9:*N1,;67-&إ($xv{ȆVk[lbOi~c5/@(*H(խWXRi˩=jY?bPc:-+\6Ń@ 0ow%<-k3̪*j*bu[BQfIjVvXtX}/Sԥ@ieAAY$~`RC޼-so}T\Q5JR i4ٱΤd(/n]FDqv-Sh={3(h7%_7|͓2:6_t`\DC`XW]Y׵)qM OFqPtR2z$ +n1M}+Q݄9Hĺ8KL5 >=f%RtVMS=%gԶ*R꽷 jŽG(b.΢ļ1 lV +cf53)[UXU/pZNrĉ<ըV9w_4N騝*Hza_[u*?WML/7Ϣm_WUz¯UMv⮧?/bDꪱ#H9]W*"uX ]__5Ug\iimR>a5bu5"DUX|eW:K=:U&H"Db}@U_bDªJ#֧WU*gU$Oʫ$HK/ZHYMi"D&UzJ!V$H=_UU@ڤHķ$H>fKi"D*ĉ$H>-XV$OU$H ?yQ$H"D dH;ڬH$NV$H"Dʱ"DUX;-^V'u6m*:u5cMDU$urD_MD$H"H UWbD;uX"DI'w~[mUbDUV$vUU|5"D$H&t+S*ĉ"}Ov$H"$Īu_U*D"D$H7o$HR$H&H"D$H"H*ę"D_nH=RH'._WeX"D$Mĉ$OGV&MD$H"D$H"D@$H"DD$NH'r$H"D"$H"u9ubD$t'*ĉ馢D$H"D늾V$H"Dĉ'U R$HoV$H&H"D$H&H"D*ĉ'kUjD$H?V$H"G{Z"DbD'*ĉ''IV$HV'UەbD$H"aqzuX"D$H^ֵ-el[-'melZ֥ln-el-em[me]ummm ֵ-uymmem[-5Kem[mmlel-eºԶ[-m.-mm[-mlmen֥"ն[Z֭l-mlml[mel[-eZmڶ[mel[mbl[mmm[-ml[mmm֭m|Vl-elm֭m[melemmemmem-mm5[el[/jml[- kRm-emmml[-mm[mzZ5j-ml[mekum[mmm-m?ZնmmֵZem-emն[em[-mo5Kmm[mml[-em[mmmYmmlmmm֗Zmm۲Vl-em-elmml[mml-ml-mm[mmڶ-em-mm[mmk]jmmm[-eڶ[mmoRl[mml[meokZmm[-3Zշ]kĵ[emK[mmj[-mm[Zem[]jmmm[-em-kVl-em[-el-mmmmm[mmmֵmem[kRm-em[-em-em6mem[֥ލj-}KZն[-ml-m@նmeݗZ֭m-֥l[mml-ml[-Rm[mel-ml[mmlmmyMkV-mj$[$[m-bKjD$$$$KlImĉ˭T5lmm*V[m-e--؟kZmjYlHڑ%-ڒlImKlKlIm%ڒڒlՖmؑ"Dmm[R[-$R[--ԖjD-eؖm$ImH"DmԶĶm"KjDĶĶm-lHؒږؖޣV$HV-mYm-m-Ķj[vm[mĖԉ[mmbD$Il%[R$-Ėm%lImKlmm"[e%"[elKlKlIm]jI+2兩e-(Uce edEU3D\ýƙ1Rjn!h3/lԅAǶ" dOZhGJʮTr% :/ASD4>Tېl:\H l/n$|j)jdH[D=F)*M¡ AFn$.C-)!G/0=Ĺ5y!>Zq{f ,;.teGwx " z_`q  Mw׼v"E}Pt[^Lԣ9e|z)xNTCd-k>dıЄ<0:̒$D侷.m<%vRW&ִ,T+C_Nջ :ٶ:½=jʦl 걶sh|jrNZāzXZΈIDFL:]pTU@eC>Z}VH%*<7-~ȵEV]AKWD/lN[.ʾ8cV]VeezPRv~h΄$LcOH|MmJu)f[!F>e=gNڼ8{vǴO:Rf`4ŶJ׷ߧKkZU&-e5RqZ7aLIM{93Z<4sWqGV&eLGT&U;hץ9M&sh.!iQ1Cz݈Xf]U^`9C[s|-+H/^TD,# 3VǺ(k+jR6oK>2j#6M-L ViSع1h5i+rgƿfQ~W{M"kd#Ȁͳ 1+ Uy]b 7S1<>VAqgZ%m4TW`%3jO|jU^QL ! 7j3bH]08f|$_Č1Z34tA-܍YH>٭s_NF=Oݴ#_er25(G'?" ejg+2(OɦjPQ|d\EQrt:L~NRV%/}v]ӴIP&.˒n#K~\_ؼZߘUYody4vXKU) /UPKpܠ8"`?2LOa ^҅eujTMRu#vM.D*~S j p'8n"^6V=M*ʮɛ<H/TSeD1(DždTEE4y~}J {s|3ؽ &2(jǵ |뙦Q^mQ)`ۥmVg|JG꺽 L2:{es}O}i߃Hr",8"fsfU|+؏2+'l \0ʫo P[T{?Tc6UƘ-*x3B|o*f\qF.NK(5խCJu1KtK_=E^]x}kWZ-^k\' Z!I{CME=osgY$kvr, "z {ik$RʀA,[¹I5@3]gNTiD]u^ }E\_-F)U_^SnSU}JPYWUOuUT__'Bhl'{ȱ`㒪=B)HSWjꎋ}mS>[G:;+H)봂n \#;<$o~)c:cR<ݤLAMHֽ0ZM0Rފi j?gqqD\CnuFm"^eJm}ZTC>[ttS4+4/I)bV>qrXiB:IG^6IY}ZF,"DQ'%I !ҵyJ&k]ۤmȼce%I'!Xƙ)`iD]Qjצ(K=o0 YXlZ%gח޽esX۝ה][ӤQKíMWWi7·ElkэPZ 6J @Į+K"YӖY}D^CbdGg5UTo*6Q~-2`*kld-izmKzQIi'8mG_>?򲜧oq}VVGXAYC{;%O6G[F Kv } ulT$IES[:JX/Iͦ*hGUw1RTqHvEtf])0ͫ ruD)*&)c工 ѴN:$zI=łzdy:MoiK7)n} ʌRѬBAB àk.dȔ=?$ek]u]|?@_srd(n,&"4 =BiZIӅyW+WQ& EtXc[ܭkNޖU)Z ڻO5WTKkk&i)jx_x-9!*oTpWEPv Y>E=-7Xj lͽn:sHĠWʐ KB@ͫIT5}h?wdtP|F pd޴EC?aǵë7ڽ=hUk6YlY;KvߡK5-%xZ%E]Mt`@~)ֵYQ1ӆ7^7Ш2ʤ&}$B u /\S')ISy:ir5" A^ç-05NU`n"d~D"9U/W[ڕ4 &r=? /o9e7/5A':㙚yZ/J"7zqu6qӵP󾔭xv- IpR ldY#\s<5VuLƽeI.jX׼VGT XaAkhӆ\Hn7yHSQ2E.Ώ*KD/)ʒ8D`] g`j_T_͟4+Z/i9i[F`'ehe2n[%=t[ţ#rئeb\Rùk$۾5nNץN+M[,3oL }KKb!al_QGeIGGhԥ)spi ?muXSWgIk̸ItXUBF.t9fh*x5 IUUn-邂.JRYեϫNn4i; /}3\"evY% OWt@!. b=HKPn_r8o~Lϱ+ ]Z-!|HM]'uKIŽ{$/JyGU5yzKHfžBug1wCHb`av+}kV¶m..cm\I_4ePYH!L$Hi;®*ęA;3r8Q3GӶ \05ycp"RMCY}dV$6~~H҆YTWvcBpdR::/ʖ)̓F˩kj[> 8ƯHpڤ2xi[W*[d;ittjcdwY.#KY}hY|MˬLS}`e)' {7v~2ʙuYl6=GE|!|B73'mZ|ݹHh&3"h%-t7l ⾗²X +dx~o3 %i::rά :1ck{kZ++}i4p-Hp>w1^~,5fDc{ dK`Vډ{#"߽^KUViD<#j {WߛUQ/uӡpZD*+|Agm6I#ID)cP$g}˕ ۴K2~"4  R{;BI֋XfQ 4 fQoeVE/p}/lu);Jr'يG,Bl)[֩ˬۿ[@*OwkD1{Cw ci V^&0ni2#!%k3_ cCKx 9Y_hZH"fQ59 >[u3bj8t3,T8:m} i;u߼ZH~?xպiB6Sũ)J)HD,) ҌUeSѮB?DkzB{`Wfl&]'xUVSP'̽y>ASG m%bYVyI\6H-KP5IVMIҦ(#Τ:XfBGH ‚ϥ"_:^z?51 M r (`Lܑ=)UwչxU%bVĽGGOR&aT&U *)X|㒔i;:>JezQ*ִ$Slp+bclr֦>'=\;,h:I\?vrծb vYS~ӣʢh隷zMeuI$b6 */lj6Y҄#̽י]zH۶ (|($IlP_g,Mv/GdNQsvڊR&ui_$[< (^RrQ-j(*JЍwWtw[wr\uAo<1W$+s"F \jjࣨx:kӰIWDfBK$c(󼺋K߳T' Q_Zr] LWĥ[^$S}hK")7]5ŞF1|*~ߵqu|̂J,¯D={c(5M:dܴ뺷)*.岬Z?T 6#&f\j߰>?9Q~.3iCR.Ne"^r>@ѥk[tO>!Zյ}VG}+sHWmbbUUb8ϩJ"CRǫ +%dGw5Pm-wffDSpMBqFh ׮(H*´X6MWąaGMVWE:F0DV݂etCҲ6W;eUazDJPMmv11t@7q ~7ehvVgo+j\( z7V^:Bྦ_}xȥF?8=kkmPޯLFʪ6 D4VƟ{볺9ͭ +;[H6}u5UP_-a$IZn#alfY$nèM)]g5F3Qb- Pp6s}N5nUYnڗ┣ρ;x.\BxԷڼ&MvM"gjNJPuYELZ *ڔNρY^L;.#̋L<ęvt  ){b$&re1lzdma¢WgIMduIUH^G1>Я` ⨥ b>ٯ:"v ]E/DE=jߋKҌYFvC#bib]U (,^4(*ʻF&LJWCߵ(0uT_U |䢪!$io[Y)N$^\%}MpW% @mKu.Rd6A*(Pu;:Q-)ΕSpO0)86J҄]ĥW@}(n2#f5|/t#}/ML-[_b-ZL(T֗qcd'm_>1 h] w{'5pӸ#X% '|svӡ D?]iH]aGRge֧ j]'k*7tD#TK%h}N^\$bpɳ<#Hv<;t4YKWœ;ѧ]XYQi+r$9f}j]AY L;2Z5iSZ6Y{o}GVDU~njXhWX-E&ōcUSԵaXU&$I7T/WƯ쬽MȬl[J_"ҵϱ@D/}ElꔦbDĴ㶼+:"-?֥c~L6 -Ce5v ܂ʺ5k]n]QZXשms~Ȯ)Һ^W2tֹo] nɹD$K3xyk&ֻ'ػ8ɳձ\Xi@uP-{ͲEV9ioB0oy)oh|ijJmQ^r6 i[e>ԙvXowPw(jW!nN̓3.Hpe}DSAZ_ڢtEW$q%$n5jf ^#Zt(XG!B۷NXj̱L#j֋LXp7-Oԕ]W޴){ꂐ=8FK+ )?yV҆.ҧ:)m[i:XPnwYACotte\I?tvuhV k;@1ԁE *VǽyG۶1e_B>,M;fUG\^ɶﭡmf 4 џtQ(,k]"(MuL["&>,8c|Tڧ B1\HPޅq1b %"ׇU \'i?0Ƃ_\bҩ_BZdTE1O Js[nrkH#UfHTR%eBE4 ;(j*DK=,n˒ڍV-{cbfVuxa}iVJ ^η8"P f}M 2>;]S75)I58'pҷE.rNi(|sٶQ+C,G6gC/ΓoV/sSy,'bԱGAS5qJ䫶Kp+@X' B!$/1-^umSD TӵXWK"vPU~TP,Y/[lY|[*3 )uW]`8txг"3c4(,*SEf[h~DSǿ&yWPyE+CWKЀ.r/#0EIkZ$a E.Y(1;wJ E.(yH߫b)PmʨK-K_KOFVG5 1|h.Kj#="t|M; SQ5J/nĢ>uUVKܧѧk lnԾb'EOZU̜0Ls^<-OhҦXB'2L& uA.!YJJC9내5 1HOE~N״Sve EDDDlQmAZf=GYmwa-..meCbN,ht7KB6h,h'_\U/z+dTWQ'/C`}Qq>$z'2wQ .q ..F256XvQJ@ pMZ2iڝݞojĿnμ3ߡ+hOmy]Tu=!f,_#yĵ;~+*?đnl#~kޛƙ{Z/,VSP_+__ a{Q̖.:uzCqW̄2+[[O7m=鶻tƂɠ2bi"յBG>WXޖb0%奄uߦ 3yTAd7ꄣ)LL>DC@vFND4[|M+0Hm”s"& bShv!3A2ePY;(A 6 B~=j^-*3HN\Pͫ~lE,Jx6 s0#ms\vlUuo4KH[%[_aUzN/:nrvlZ"$zn\gmkHZS{Uz;l:)3Q[fBZTCFͫRB.넳J/Ln*F1Dn$JZ< Ž'JꢖH7[T ԑ¡^m|BM6 oX\)LYtlGd@O(/q\P !8 B@m7"rU٣Z!#lejKmV+Dq/@jԱxƹeSa$~/8~*Š/N/Ȳr#W鶩J1[XunȘϑCڿ|֥6:%w]V zB&̓kJ%k>iuNoUhhzؘ9|HP7E{w 7aw*rNе=`Z-n6_ #h.Il:lKY=wv6UXg]7hԶhsm&1G;0,,Z)NmM* Ӟ1+GYT)Ejll (#:QhƄsxh(2LR !@J_ϵ`E9BpP4[ռ)$S$ Z~c~ ZU}v/իc7Â֨MLJ'Zޕr[[(-@@lьa֖5zKdj`KIԚ_ݕ)KXԕIKHӦcWW&surfȪ+BЂ.(!.\E)|jؚMH]+w!sRކuZ6ERNEQHjʞQ 3 Z)i4$(:+f.z!yV4:YM}q?㓿& i-}>T'TuO@p3:G)Auf ^tImD1ob+ -]@w]AeS3TU$sgZ5!MQCMߒ-yV&l~LJ>ug=\+ 9ʚDB)IҶGԄQi%ъRАIw֙ cL.qRP-i:)2wRGڠ=n_B*ύpա\RjkAgŭn_D{3zWFK7Ȼj6jLУ.\U)\W)i`UFū^f|LTT5`7 bpB#mp][ k."[7k'~:愍.(,=. VřrZڤJ%*Z!1IcZtŵ %tYOBnҔS6- {k=l2 K7)SK_"m[Y_zHAYYDGtelY2FJcmZ%ˋءiz>Tky zނ.H`--Mؑ|1cB3loK5 *iM VL9 Λޠ-y.)z);&S[IӦ"$BW]قyYSp3lUU4 t2J%>LcrȵIqVuׅnyԠJC%P %Զ5~,v?v{@¨ﹻo 板 iMB!^\GEN%5|?)jY$JO'~K;|*{~Ͱq5=XcX$'־-ւP% @jFM Ӭk.Ouqdud@KߋHX\Q%^RaKRZձiR#;X/wZ,Sg%GY7ގ͂rִֺ"QlՄZ!=fVs:!XSENde`\%kt[D*ρkW!8k™s3rtǡr;*}i[@=免z\eAZW?f.O-V/JmϸN_KJMDjֹXlJ7ֺ!ZSP^=k]kWM)}˻XSAɚgDjb.jJ{t&Y%wCoZQkO3sF=#}┚#I~/;&0ȴ Z b2^i[ũ{D塵KlWȓʢϹ(L(6I*G\ #A fK`U|tt63c%ȥ)xf#MjţHԱO}RBx% \@^$So#.:jGOG+*(bZDu(?)MMPzORi:\G^>Dy'y3iR %\ҕ)JR8kCn&N9?Q>TӠU,g4IVP"(O θ5"6.,Z- @kW!C#pH$&0Tsx XVA|[W쏤 l!-&GQ+sRUd$BѠLI3G3*ӯӔ?d(Lu;f4J.؁G)dr / \騏5cSS&ynjCVWUy)Hj־5*ƍQg+"6 cqg.}Mkx!s,k.-)*YB2Kx_*6{eyZyty,ω V7)fi$j0+Dr jKP[JW57V_.΂} sГ!*ؿADG-['Mj: Z7M:><>?rg3Ŵd i<݌MxANsKbֺHǡo҇j4<Σ{ 3',oH"7; r >4'1kChn?5j*>7+% )P, d {pɨJe}XI@Rw3V!G%BYкRö,*▒*xf^xSzLoGm h,JP/*V_ۮiKl>G=k)2d%]['Q@[gi>>6Yyby^g=)2ޫ 7$wRM0el,CB-4nZg>Z*NrN+mRl""2 l5jpJT.JBسL6Ua}J^l;֕Nn#cG}JVwA^|ogi#;u9nZUy*H9D"X+OuD"ҤVAEb XDZ-ĹOB[f:O}ZJԧFMNB#Lr(Q-RȂ)hauɭ*b S\=haY'GPE'!|j&{ ʿAJ[%rAD6}',j6 oe5Crd=AnĽ%Jı3^TC 3Z^RL7гOӓ& eIovMdqg~H_ȡ?T9Ah 1xTR:L |YO} :tU)E[Q+*TC:I24 , ABhZוvdK7*5UD2V!n7R%Q@tXt}ZQ!p݅&+޿(4ue))3Jջ % A7dt7]aPATh_sWfش"֢ 꾣!!]Prv$JUA#V1ZV&uZ%GXβ B京&䮧j f6*eO5foG쯺ƅCH`C6l/CڿNMuDr◁q=%X{}x3|Վ!LoSMJ~$ d-tM#uQKgV\QgGWtc8+g+)-a:BծAqQ ,,1{sUkR_\Y'+jCAN7Ƚl_˚)p\EH7ypۤ$=J"쑬(1AcMݗ"QKTԔ@-/}SlH?yIPɪ5[e% 3+f, >%ESMe!O桀UWХZ̓/zIj؏UK*ݻ ^>D-PFǐ޴ʣq5!e9ZZ*ׯRl6Z2jQ݇cZTW V5ģ13³S0/_֕1FkԝLtݶT}[Hvi M[+hӰP畂J> VS7 2+`E 43ٻnoKѨ,I~Ϩk Xo; :)cĆ-)NųL>9a0KU&eaRt%NS"[GN("G[Y=HveIyN^硆E,n=H amK"="faEEJHTU0:zǻ(IAMiܶr.v'Upۖ5"Q y <.ֽEWM#qOSA+Ğ/4DH@p5X[Q/udJܧZ1#˲[nްԍcҠ(hǾ;[ӱl[+ˣǤOy^_VU݇AGt+*fD 2slA[RUe^nS >%$*P"Yֹ<]čd~k"%HJMwsԅ8[WUUyPa:CE}Yu7A(wd%=(;<̜_؄J.38ᦊ#QIlBTOݴ(qqH-HNnT7٤j&J뒼(~R5>#eu%g-USt@2l;J%,KCC~H RJ 0H,j@|ø/["lnbעBL`xԭ U'2@%@8H //,@w ),_-Sy+ +!2R-3tӵ)j)ۖ$mVI:e[+F(j":2ѯ cғ a-@Z_z>֙^Gi]~kIdNŽ-c!# 3ljྨjR_ZڷNmަoWޓ6ԢZi@ɍ y8I ;ɥcuZnn?<>~ݗ+%|>ɃܥJjz"[d-o>E+ ]1fybk"īT5Fh}fv>FZ[!PE1O lC?)BZ^\Q }JȢ-6I+LW ġxwd&|H6RH-H&ajTdZ̓ʧC@<, +Z4ʦ,ؼNh&rܼe#>+)F$*6c+y[UvyIW`nRq[ftdU+̋0=G\UiyT]P!k^! o=? [[ާz7հ=mIKTT䟳{8)^; ˦,ŋK5 \Wwӕ1z@ɬg%cֆNGxXei&KWBz2,j@"l)k[V\fRT]XtRS)^pViLXuBtk:S$k>ջA>]MMW1uzEVk@@v% rYU?69~IBf;c-b}r*Bx""N6jsP!+x_D#yB"Jkh$(9u@7,χfzDXrD>7!pSacjWvcbנjժHMR5xaj=Z-PbbDBf9R %WPN=*.$$J=aVoR$/s]܎G $C6,Hn?Ms\z:++GDb'Y{^G֙9~\t;|ԩpʄۥ E !BUJ{c(֥ȭ5k"\'fh1_º%)5[[]aLR'Bxz,#T$n(Bp4Kz!i[q^QQuQ" KM[59,|Y3\4ڠF4E6pM >HKA]. `KHǨ'SSRd;H9kDu; C@C" )^Vm1L״N1 T]4SZĭJj܆<tV'uEG#jEO#hWwm>GV}S44sg@<aA%{_ٿeYUwYTSzJKv[[$`A|A~N2 츶ZqlV 8u-Cݪ:#ȔBNUS:ݱDmsO:;œ=OXv}FQw'ȃ#M%9XV:o?"! +k:޸5=)HSbI]I7 ۧ^^:79՝:&.T IuZ%+8?}>wV"hbn6R]'α @3(rsW"cBG޴t{JNjN %JYi v@$c&KtMG1WYJT}l2ش*1]YYTdQxTLIVѾ\$ͮkSMKiG}AL~hhMI7wKtk7(BGT`.Dlz<uz['ԭEF 5hѣFlX_:yZכᐋBMj3Z+7>$/`3zytOfK\ycxQT|`4뼤>ZM(]~ }\wʋOgUgu)2̺;b<ѵ8mXWHHZR&qRݎN筱d򆖤Jz"U7E)Ȕ@v<3n2-Z#~J^^u__D;Xig| B$/ :ɱlU-{::b\hSД'خ"Jtt\ltϲb !)JTބ^5Q~NXо}MUtSxl՘m\UG]~k'*f$I{?GAD/% cVV_xQR5.F,#SELq6$ mcቌ-hض%r^VXJ^3${@J7uwx-Q,{ص=ll6\W Q!qZ^(N6%#T#XyCquEHudzWAqE` +ͩV(U1E:>'"5-02(nlҌz ud#8,҂Q 1 jOlh_J%*kGRJK<ϴ K`&̛zʑ!kq!CxE>D3x=~Lj 'yOW5D52% Sh'n֔:_\䑫]Z$#n?W4Oyi1¾;oXT lDVo( sdMREjMCTT'Լ!*yd A@U6 }D*l.mL]vDaf񳫶{K/wbӖ1[S, '^KkNM?]_rw$KCOTT.qfJ?%}J|"^UE!*lqAVVE+<Z=5|+0&;emiÈ1L٭(FU6%k[ gH :$5j1Cu$>G}"c}/>UK9j:#@_/hZ&UCVQB Π3p[DA z| :f4Sd8Io;g!IP7̂ #?47!Nu88x\!;8 |S0*ߥ(4RҤ4yAS>&_Ji|2!4uTR!D*(I;p{ͬd5,򺏤GB@Bi^%\SJ;/j"RtQJqEDz^ (I KA,ǣz3(njh"W-&GB sНqo½y=N欦3k>ŻB^'ę(D 1ixkQ>eԝCRVĄpPcvRE-aD x?ҫ)dU՝RvQF:z) Q/)kڄC"Нwi`}'0)QĂ6o}JU:Q*n-nQ+1 2G"Odf_hWcM$4V&&-zAtq k^yG@s) (iD*#ӵ :xe;JW'/OZf"5ET_3݇"}&aLC>D”0ZQ=~IE >&YEv;.[D4)'d,Ƭh!%RG]"\jQD2JsF̋x1X/Gd{|/V\Y~(̀Pz/'CR"OЂ>I:XU8jo%[FD%mJʰ 4|MZ]Vq øì'9i$I}Zk-(Eu9ChT7a5 \ҦNf'РMZՙmwl5+[./2nc g8l\ʹө$M8%0UkQd8LЗc:K{ƓJZr:ikلMrԂ<(,Ȁ>Yk||+Q4@U6cvWG}r`JLt"'!+"P%]&]MV5+O&˺9XvG.Q'D'?Qf12"s `abj=ACsO[Ú1Z2/BYd9V:Edt;̻ųM" l64D]2.kr6K&=I̓0 :I&ɫL^ő#w# akJ.س&ﭯY_Lo~oF-앨5 {3+2u|G G>aWV#sK4TU)M5*©;AP) U}'{ؐ jңZeMO)JI[ؤ<̼)Ž Z,f*ՖyѫAMj̲P26HJGJReAqn|*#h?VMΉaѭ7^ ٠0Lci*1]'䛣tS[H괩T٥ૈ*@xNVE |$*..#q[КDu7eiW!} ѡ5K<Ƽ*}.4*Q5d4jОxD!Zζȵ,J_+ #'3@4EjЛ"PݗSW%G?vz"S2[P56Bzv9<l{Y*k$@ت?wp#RƧyAµ}։7]!E-{RĚ39 6 Kb!T]0E-ɟ7jxCq֧CL*UQKTw`}k*!^ig)kRG:ˀѺlB[ݹD֑8@cل8F3 -A.⪲I#S؀SqӛLдm!P^%iJWn3pHP)BV >')$ ` .E9 Z"%}uZ[K֙zLؤJxدb6)3#to_DtuQJQk28;/\(c }[΢RC>PWpS \̹ V\DITzֶBbVTSrJTE IvJZrު!8B* a(OCՃdv> yl͓& ,ތwI Zc|h_SJ+|ϑw[7Y:Oo,ԕ `%ĩa^v&LJ>N\w}}ȅ6:i X{$rTEB}jrΣ[veU}l:1s<𻠧zgUYQDjZ(*?̹ K1JW4RN@c˞#_{6Kp6 :o;T|l r4/cD/51i;y[5!_NMxRѻxݯr=ԕ>gE1`5K8N$BcV {E#zX\"׼ARMUC\,!SqC}HlJ1m$$I'䶬ylwRU\ٔPю2@ɼzQUSdC8ͣ ۣ_CӧoN_XͷQF, r؄ò ʬ2+ʡ-O-c` !4k*Җ-**ρfP₰%b\$2L; Nyu҅!ifuu\=g֕=?m'ܕ$O2^;U|oӧ,Oqly_B' BkGmQcVe]RTq%/D.~o sAoP|?46-fr\'xԕAnvyN'd.9Qf p-μ%iRҿG̑#|Q5Guf9XNh.46k[ʨ@J}D„:%1(/FS&*Hd&F rS ,˼߹$ktQpΘt(ks|+*R|i # /Oz2v{tRI62TtVg~ie^[3fKX^S448:e+>36]#)[ҐV~L"7oЈ]%|%iTB뮈p^vٶH6ٹfU&) ޿H[/BѬ>4+kx((;nb:bҭ#[!0i:BPɺء*곉r!^e-xPۆ}Ӑ%+24KL^f봑  x!tE1 fU'iQΜkj>-#SP,wdnE6MJ5J& z#Ƶ?U.SW%v'5K㼬KDЦLkV%QN#!M[d n6X`X%!{%\nX׾۷Z䛚ZvV뢟r1,s49cWnB>ש[{^_"R43li3֪ %!SU\^-<9jcogUkWҳ;+̸l̲j<4J}U}(NQU2@R5ɽw3t:kH~Ph/1u՗Vl Ba#jXծ^0O#>+n31_V/+Jz찍Z,8ʬZΪ}nr3mh, NYoXWeg |#z}hrd c B̙+K a4cYS5}IRҰ HT(X8i[8Jbܑ>yB{n_l'IƝSUkѺ ar nVKHUoVIV[GJ{j5KKZEsdlT؅]9D-t'zݷ g:(h$>,_I$ҧCl_K}һ%ʱT# <*YH''k$ ;5.c= jƽZʉhF2NR֧ܐm(KZb;$}GMve1mF+F.̰| s;IeZbH뮏m^-sɬ ۨiS+{Qk"`!' "/!5la(M"D^fJ)2fYDM`Pmܕ9iEJlMSZf! 4J '$ZTFj%wFşgi0̓Nئ:߯N>1R(Oh&6duof)MDTUuRߚS5jtI*,S-yٗ⑪f2PT0MP٘MFimZߋ'rH7ȸ?Ub^VuKϱMLt\ZPنl'v-@fA"Y $r hW=|(vmevSyF-mMzoԓ?}cTɫh9/͏Hg$tZe*JfYtBb9!sj =IRX.g#,k*M\ı%jƸ,%Ӡڮ¿Q5HWEQyJS '[$IJ-+,CMӂ;I;v: ':>"ZRXe9z9-j;r\|oS"ϾW.aFN5k&.#nJ~PYvq࿥,H6qAb\pailwl:5EtT$|ռnT;sHud7Wn}xچNs6 LS4E(j\R)®ԺzVu +JX.|)LIU?yP$Dd.-oyDY5-S@q&y~[+ kt)nEElh[' S^c:)ZPWӥ)~z"_rB?<#0;}M#=%c]VĉW'a' zZ7JKB̫O35J:l>ם2 b2[`Y?dZ%A{_؇}rc7U(v&=K@֖i:}@k=ȆQUVԇ1,3L{X6Ƀ"׻O#T79s l :ɤkSlݵ8ܹ)sJܡ$Sqf{;% BmTgƮCT N= uDWL 9T:jbT5m0%hjO}I"FͰ/S$Dl 2ôKq`ӻi[Q/<&1>VIBH]y=vԄn9r6aqGщ[v2uVER(5UVgL~NsB?=%{6L%I#S,:z_$NyXt ZΌsVNkBn^/[,+d`o"xjB)D:s.{PǬBҬ=;p*N|v7Wm_s}<}ED^5h^`5kS5*F'.zlE5|t#6a jP[Kڎ*MZY!O͹TZuխ(Xa6RRW5fg|m5>GT;)o7[R$k)@k&}Yw奩L#O{υ Ҹq,Z/bDg_/3 H**)I݆U[]ՉAhS6.J,JpV~lӮϲM^F}l%GN]wq^RFϟi)\vGܪI{`~L-HK׶zO[ҷFX"fM°*b6/E .Jܢ;;jv9 {*;c`u*LE*t$Ɋ% `:[ :3@n){*) ԳjÑkL<`jꢨszFdOtu-#pqcAl`ì[QjY5 kQ)J)DkB<lđjh~uITFsb4oE&,C.dѩ< j!I]$"qk?=PV$i]JT1grw 9H"z~Ž eWgP\v<c5e*R~7kYF%κ0b%2K^=YR|eR-ӺY睛~Deva]B B/-;u5]}%]h1lr8j> ?Kkӄi-gʣɋ ŭ)N߶IJ [$fQj(k꤭"ze\x'I)_bÿ%ZsbZe>E<^wL%,J"v$[BOOWKڕuX`G/Tf~-Ϯ߫G4nUuA>C>?OӅ[RS[wqI *i"r;,rŠk=WI?hWO#Sڧ}juf vf}ơ7G܇uk[UaQ2b՗(KTܻ7Ah뿇3 n$N9L@ jľR% 2)oP߲ƴIP4kW] 8|Z:"ǩ"]eħ\/ĩ:I]gyVnWTE ywhRG],]48}5+;Q-oT}PKե pS=jꪻ*^)k\7i[~RV>QFUSٖS`qE8N$3s;-)ͺ5)tГ7?ebk]7\(8~ϵU'1Il܌C!IUIrU9 Z) ΜKVgLn"jٶkцGڗMJqFL-èާoɊsT}B4Jiw4g)02N/cc o#Y[SMZn\d$b 翬I`:i6gXT(T5RWuo{#+9jۂ'1Y^ؤrdڄ4CPږ[o}p` C^4%9=ɯ0ok]p~Ity{b:kCR8Me~  O0u0He*6uJ '*FIdLT]D7v)ePSLYW.;dJRȾga,^gUaCGZμюl=pgλf u]ƛXު1*J; +6q&g(J Ѫ5jZL4bZ) NÕ@)kxRQzB֞--JX4=:<ьr,Zye X`ܝV[Qi|wYsTѽn5=SRN0RHئ-[W]{l!̛&.V **r(^P}`W NGY!&Idr8 #l&4+C8H-+<]G+JrTZ'Bl$_[CVWO[d)F|Igi_QiQD sBVgpViBMUOQ?^Ե .1knl3GdSn5( B( SJY\ |;ƯjW'eeԩ\?լJ*JCJK"$/ը 7,j2"8NldZ1\)%b]BSVyM٤imDWT%U$$2(eͶc'ι).zٶQWNRWsPU5H\70ow+5'}/F%PV)+=5XJGfփGʐV类q(DɻC0foRWx)ȵ4*0>e֤bP?5i[qVyM2 eOS BҰmfOݪ-z_ >FVխIM DClB: S6uF '|2ZH7/qLteo%'CmcS5`QjmB5iMVUSuFNW&PqUiJFO*h9k<ţw 1sK3 &>Lu7a&A~LH*INVUxTEoUSB({ 6S:>T}.oYUIiuauU<؃)v[GdRIxn c_U(OQLUҧJXmcaGKcZ׊|"Sw'r%4\]MwfYUH:ɎcԙbZšHU}2LAj%,{RٵLܶ7bMbX5'l\ Ǻ,j-S':Kя+ȱ'Nꬉr=ͱhP1 ν( >vY|L"%ZBh\biP]WWGST%Zީ+v?rXew41zS{&Y7*Be XX&#q| z%_%UTcRfl39?Ê4[2vv]w'ݘ!PO}z,*HUg}MCȊG_)J"0;(C~ é(r)$kKV/j jPr_2č}OHZUԕ ,J.b Cp.͋y%|.sV5dxQԍGU"-n3Ѣűfo1a|c¡od~*脍P%BY5_UVEDkbξ(֫1~$ zX5lRUP[Ay&{2 Mxarm9!{LZGQ^)xeoi.7*S}jvѦs{tMlQAhX缯0cOϸRtW:C rʙxx_(ǭbұ cf\qk&>ڦ, bJZoO.ro'UZ~/CBڗrD@ h:a#R[;)nܯ*mY7-yw P~w'hYvif}Ju ˪ "vV mHՑPw-6H`Q4i*ޙKѬ.^\W]OjڮK3IC’\<[*rh;5HUeh%}gkp9;n=AXG2e}"\ ١B*3*J)r^(iBT)--?N_kv^*vS+Nt=x$QiR{VsEYB} ;FVY%&H"no' f:OwA\OaZRͼ S"J>j 2ܼ !<^e&zҪ.KFdܤIbtB`w42 ; :zHW2\j}jl=,eyr SD4mBõHksRW.2Ҹk_ZֶynƩ?4 z2K-N{(,'):b>u}I֗ùNV'*!fFG]G"6| LjɩW}-A֝hrXȑJ~8$;R.;ɠ;ֻ+CVז9W`^EQ) R|5h*ҥ;˚m J2Osn|恨x1 B+1 !i VJ6 9} .+hN-MRCeUQ{K@"D߼)#Ա̢$m*/Q_)*0\g$IClmZԩrq^Δ"UVm9rUPFiiYܶUfS ݦU dլ," (]F(OQ!o"H:㪫)Э=7fX=օQJ/ʃٕjX;K-Uoԥp1+kuNg#`/-%Ԭ)][Mt[-Eͥ"60&SͬimxŬ m(V HY[gbY-F8bxX 2`8fqչ/rLQO3IraKطm, he)" 9D-?;lHݕ3hVf`s%&ѾmW2 3n~rܬ1-+^ʹdUQ4fܥ]kc)]jVEU[c(Z#Vnfp ҥitC_`аj3/DweP/-8?f5L%^CF9u5U h=uVfi2KXR萻 lͺfETa-kK؇bK6eVޜ ހ&LҒ7,ZjnQ́^*n < f4ɣjD9-B>F8|O9D Z).osuMA) $Կ hVvUֱ1mY+tPjkD)#>&-3>UlGBiR Xz_ɼ c'|/c'97޸:)V!~-5*IEՌ^Tit&}FUG=+DJ;*R뫱#jS'9갦+T6)JNW'JiUqU]}`γ3>jҵjKJ52(;X6+UR)r]uQ1JJRyIU}3꽉z>{N>VOX_Z KV0J95\CUy^Q u'e mfö=J&LդlI8E򄣫Kg4CQYg:LVREUQ[_oУuB쾼Ү%ww6i) H1Σx< dbeΪBbk&f!5, bh//yiu!WR,Ju];H?QRoJVWko~(!x`ٽA(O+ "?D.kbش=-鰉S$#`?ǭp[/Bi۠( ["3hh/FK3)dzkԖ HIQ+!Hj%k}NG3M QI 3<,`ʴ*Xc62jn~(,j/=rVg$cv3Ւ, R7;}k-`ZfsbS=2y93S4t7ug^FWjuxUJܽ zTŁaD6{:5~MmS5avSBnʛas: 8@Rm\WN_J:--:;L{)T>%"fSdսd}~KBDūk&Jѯ:/ɂtǯcbiV]E&/ݺadZ^VYKaD{[CK,j)TF}"u>ǁHWp٧&/up_J4 )WPG7=Qo}R`ָZ@7 zisەdXDU`N)*F6JOd5-!Ƞ8pF[Ѹn{N=IMgSj˲ 1nCA|nD2>ӥjT +ovK:벎 PBL0nRsfQ[Q#z6羹:o p>fV[&ݠԧTFE{G'5bEwOG>dcT6T߳jQ%KE=ľd).DȡM𢀅Xz@a7|crEiIVբ 꾟h$cr᧌HOS6EGf%L'Lrse24j"D(T'}X(lK} "]wUz߻xXehVerycyUF5Rɂm!XWOWWO|I6Jؗ6NRn9꒤)TBB G#9!ow,P_KDlKR3t=̃r7U~ ֳKO)x²2Oy]~/}AU$D~,C:O;JWdyֆ*ae;Mtr-_QJ) !8F",J>SI%ݲZ5iMJgꚾB!itR׵TSyeG⮮,zDBVơfUə}n@벯 61@V6Inj\w܅Dk$ʢlPL8[7!k@< h4꺏/KZQA"gvuHWvk ![}|:z'94kBɂ)9D?ŵZ_yNRssOzeClT6!wЗ%|K;Ɨ1*jGw&|NKKD VIo>'~1,#?D59VL**>"XQnEkWuq~lTG}Ojqk Vž&ΛδMTFkXi?J?[v-ڈ&rRHYĩ5Qђb5U4G/M>-Q`& $%aTu1fip4nZ6є} $ :Jо5iFtSgAUQ9SQ_=<| zIuqU1qc,In'(-cOdzBQF׿ڴ?FY;*5O!YWwi5-$ѣJYt7pz*485dD|ɨ ,N,JQhٞ_0Dꮻ+6޷<ɛt=B;{`!DntlrڬtD@n_)\-lꎢ'/"*/j1{J~ [{sT\d[)VjgaG$(h5@+3STOt$;4cZǵ+t\;kj䭎 h[Y1{UerzFSKyb'kRFjt?'sԝ)dgu'~:ź]Sao\3nT~@/ZR̴ 2,M7ib,Ƶ5DZCmDCjWT#G'E\c:3if͛6Lfp4_~(Ryrj޸,H|V ]CZX,/3/n3xYtQy[ BڜYy|-B! G|^qaT5KPUNa;/ z%%J 6M}?waXpkol̬ *bdkKqS[&IA\d\-Q\v_ϵXߛXVE| ˓>5w-ڼ ,l~hOkХ"|{c3\)vH7Jr={s*)( ylo>4b#V݅h&]/n2(tﯭf%I\Hݴ2\[ĿJQVIJAdTš/"Z7%pu~(ƁAx[&UiI1TUE- <2J=DK̛D5M:t%.(&lp-3ض(=}{k5iEXx_%NJh?ѦQ~ʺ۪F*M[؉@Jw ?7ȝl |ټ3"!ÇUS7Ԙ-puqLi滽)БQi=GxjT_4 t\jf'LբYI @iڥՍPT}ElыkD"jGx_f83ЀIHzgB QΫL >WP|آYOD/#IӧE~ &$ YVdge9ߓĀ㮏Zj-mLוH0 \0tU7~h.Rhk+VG YMNwN=LVg殮k WjVgjjD7A1iTاH/Cy%xSdJpgsUeW٨MO;T& ܔ!E,bmTGW|,FyYKfL1|Z>U&Lk*djz0.:*;u"RZ(B!{uD]ŭHW?|"Rj`Q/Te 9rB,iWa?&N{]uSKK s}nmܔ8iROGE?aF6 >ޮCUWc] HT)H ys%2$k0ɯwőO@'/OcT ظ j9\YF6oPe952D$J $ھ$(ZxV aOOՆlU l^{ɣ=VЮh'm4ybU 7N"S)s\'IjzOks't[Ĩi>DbqYwi%\}se߳Ϻ ҈+. AM ډk(/QTZwu@n';B/* =N\V+l\$&B75mST*j}Rf=;~BŢW5mW1Β%S^lެ]i܇ v@RU>b%J~$4dA|? x!! [W}poP1O{^D?{PGմgt~ˮM[h'Ez䑦`T_yqũIGj5N\ݭ:MmjZ79k;rͧz:'P'ʒGڅB`f=0/DAHW$ⰙqEI<-r(Gٵ)DkG%'diԗğ^WdvmUVj XY&M5Q$|vSE+/++ڨl/#Pt7zp[yjRߩ?H^աUZU*VE_J7 $l-HJk}- Cn-Kk"|iʢRJٵPwYR䲋BХӬ"6mCZQi1M Z< d:-~*"J}#J+"Ϊ J+N󞀯m穬 bG4fօi"ԥ^𠺉6/}&laJr+-KJQX'ioF!*~?%H'(N-")VK]WEuo Jr?%Ldt@Hz'IcdBH5Zӆyak@}ImqVa(Bܧ!zWu b[emc)JB=,⨧.KZkj/*b-F&b֯KkĻ:O{E+똝&UUa fV7;oq`F!_|O>{R)TѳJTuM H)aG6DF8m`7N\ցhiVA"k1h}XYy) TgH|)U޷U"ݨOKRNYsz1TRv4hМF wYuU. [@!ʽ!= v(IF^u[žF%MԕeFl*ޘցgW $Ei㬈k[f{Ȇ-o[ϥqnJf!- m7!et啱OWy(k+I[eoFwҔUp]י(iI̠K*[2൪R$ xEvk%r8L㷎`f!/nSA-m>ZB7rV] 6NP͍]'Tk).+a uԇ^5]^WE&Ogޣ5:aYAER򔷉|=٩~3,}۸`*ֵLx@(琢T֥ut%!(fsHʄp#Ti:6S{(JLաӾZDuBjPw7 !JT!"Љ~O9/|FQj-GZF)MPU+*DnJVGLlWD9[\Ա#}JRO[/J$OKQLZ= c&twҊ_EITK}ꬡ?g졬'-Xԥsv/VWamYd+s#lVeuXk6ˆ þdQYbr֤y}@G#﹮"&LVÿ xP AHH.0!5[< jjx`UKq"oӤu@} N?]yR5V7ɚ+mL@"fmR$b֕(O3=3TbOeSv).P9z!j$ROq!hzZ,K$b@*5 <ɴJ׮!{L,"8j. V_0ĩ PRZ}c[\Q3k\޼dTu^4VɚT| b >TuLFg_p& ܎š-;Bs:GR֮?'Iۖ}%m&6(X!*$xǧ%@F$*2IʋmոG^ABCQvPA|mY($(Mz)hYПkg\=QHѬtBw<(48-l*_^IjZ-(F 9 ɯܠ;K\7=mߒ1xV6٘pV%ND{l* !>Gٟ\QHiͿ띙n}gv:x<2 9?%AQFD4Fu57nYExE?I`P5%UZxm~Q -m*rأNb5!e')KL*`y:z4kjw1yYfu!HڔoRB,5ʞ1K(H+:٤ /q-YZg}/t/ѳ} ʀKVTSS] 4I V5 G .#_p;>DJ%G\W'e-b#:/[>RL `U>lG܋`'6 ~H](O>p^U=ltZ1*t[G Dƣ6΀RuLA$K*#^6aƍ.jS`4JS|Zfpׄٞ]' TЏ@Z#j\eYp[?g H'+N5hIߓ۶Itk1,5oB[ 4e&%HOe[Y%)mAzA"\ +fQK&ic`DLk`&!dJN{#6m鐩mRܢ$/ צoᠢ2űM ;kg^?udLG?4g5vIDBG:lʹJ+*huhETwW5 sRT"V KH,#`J2)kœ.h]t[vD5WfYoC>ѯOHa9~+Z jchضat`PRT::0mz(?cnl>=l+:iuVk}bRW>$,5;ezUkU33<6'?ԟk?Gz>)P׵mlF8.iwaq ʊzvZ5-곮RB| vթKFeArDsJׇ%DЄ0Y3(h'!&[nQ6 $ٶ9y)cJeXDE2O@(=#~<רRGA(ġ;DY)#eWNI}+R'Ōz7?g&kzhGU_~()n]ƙf,kAaKL3Kcͥ+9+yAT҄uDdTuFm˼kJ<%.hL_\5[xL<;TABzUw]e 7JSu-SM5Q"Օ@p *RKGUӠ6++iN[LJV$) }iYE&l(q䵉Pݦej CfncG'B:d$JsJtjyz^DE,bh] 3MeŭHҷ-8s_]b`64(貪饬3ѥ"^5nrPlK>9H*M:<~IcUץL5yL' S*} Z^άi°&ŵڱm"꒸mrPHFU7!,!pQicm9 ¸(퀶7UZ j~ B6Md޴̚u@_7UBZva{# owD*I<. \Te/| ^rNcjOi!hַMp9<ɛN;gt`+d"aڠ~eiƚVFQFD"3DFdFVgF ȭՊFZS"@8!FVR!17A$  !ٺf*"6CC7npVQHq#4#8!ѕ ʆni#*EW #d 9n" #v[7VlV*Uȅl4T6C8!DM)HT8"#7G /Ϛ_ 6lb%Y5AfPg( `WЖt| : \u ASS6u\uXVי|+-.;qFM~0IN>EJ .LA-1]S "D6mpt]#O=Ox֦NF$-<[ď|+93<񪪥EVUxVz}Kq7D2#i6FD *dfg#:G8#n8tz{wӢy]=PED++JB+JVޑQ4 ʌٛ""]UHD1 )Z"QE @iUGbJ+d33A+ Ȕb#3ʇ-Q"#Jitȍ!\Z8ƊTD0ȌȪ£B #4ƈi ii4f04l̈" *oF< ͊%3ZtWU-r@5jJvŠiUu~Lur]Q,H%M "F44ɺ%~zEA[t-]ZW#_BEqDNr#B%\f~R)@},%[DSJ ',@fY?Cz8H߫Mr9à&Zrxv=ؙM` {$˛__*i^שjcjs*>ضIt)F{7 r5`~b6K{ڪMZ3۵]UUTK*昆4ϡ+b-ʿt(u% Z}fR77#qZKF7oBo^kVdPY W$-LJ97΍ɃBG:H,tjǕr]wSX7-ArFaEFTԆ F, "Y5!"֕IƱYe l!Dژ !_SdHTQ>.5T>%|R.M65!F.K:9RP}뺐F < սuPxmcjᡥ Ʀ (Ǽ* %@q҂~0 :%1 2#<3= Υb2g# gr@Q;F?#bџ졚Ff:|EA>F? G\F&=ϵAC*f}r?] =*3١ C1hdGFsPP6dgG_Fv`fjQ>?9DGS3a=DB2jSA}tc# df<3"9@B«JfFDCؖdڮHkV}DF/h\jz ?w޿'yJVDJp4J!$,O"N rڜOɓv\g1ܑ8 ӌdv9"3藩bNV}eIjXf&KȕvxxXG@ƌ}oo}WS3vg-L3DrpCþXú"33d1iHc#3<329C; rH43:³3#dfcf|TawpFlFxGDƬqv ?-}b3# (=3I2*y˨>q3dFf? oJF*1葝؞XDgFZ=q4D"ߔ:ًwYTN?i 854]#~ <>l:_p3ӡ畟j!(Hs9}? ^MȾG:ͨDtH w~vO#> P^?H?MGnGѣ1!*? LH}r/B LAdqMEF=cݩͫ3_ħ#V~7GHWF+JzJqK<{|'1jf)ԑGFWO~S#>BgUzϑ lfͭw{W<[>jQ+ޣq?NmG՝q9Go{4/vbjɩ2QPYTC69G'XQ}`pYWQ4vlt#*;& 1:WHv?9Ϙq?޹S5V!ԨȌ2̈¡) B*44B"#iHC4|u|äf(y{%wDn U59/ ]@{X'GAe\[,,or:o[~mRoC|˿k]ص7Ooh}VOŦKfqE?Wa2e-whUExlV8 dkVDžqf|P-AF+mrJзt)J9hqcjYrUeYwݔOz~Nj%fѭH:yջ-4 lٗ% JDO씮 2-#-sx# @bGyh-K:οyCQ.*9(/jd zYȵ)#&h6A%h AWQ/}&?}0|#yʓᎃҨ'8bH0+5}KG "g}ZO-.h  %mo^T>Mߒ:1IRn9HCBZ_^Sr`%O!KPGBYt{^ ?EmMH !,EqI,:-NQe[g} NU#b5 M&`潍wZ.*:>Hq QA͡/@_މN4!Mޣھ+}P ֝+ϾtQt[V .}4@u NH]fPyv9 ]}.:&覝_bD@WRQ 7eս. ((# 4%NhF) ܦI#3zyPo؇)tUTyhW6H(-CA^W% N4'W4*%%8\UKn5{òΖޠ38g"g!mn@0icF?ƽ!l5]GT龴!AYڤခA~򱡴H^Ate?$2Xm do ʉf:ZNFl[߲%|?sVKWRFEGk1wD@GZW-lCvCuVfeDD8hJ[TFAk%BSȀ? ӈۗڰi.^ҤIk؞nV_bh NʣR0##<2:%o}{ qxsN!RgaScGWء&Z"8&1 Qg'ʸrԕRִ:d4Ud__U-KYK 7j vUA\ZDr'hNtCbȒ6('nTDt׹$Sc_S Ĺ/nPI:B, Dޏi.LEik\1"Gp7s rNF( *)LzL۷˒֐,mZ z% `G3!9MDHj[|>9.?]4ّTDDd#"*"4D"ƕ]TȆD"h\񮅧zgh|ָּd=+fy4$q z=P)3kA{*,B5DJ:\]li\ eu}>WѫএB{ʔ7;U}j5^Flm]WfA_W',8 5ズ;6Jާo2p3= cE%˶4:-;]S彐Y[`ҵd@K^G-\E7XvUw2 r$솥 Hf°]Gy%)li'G\tRGnE#2@D,O43k`֪H.ѱL RV}JF((2^ƬJ(EkBӡkXRsk\Nr :%T@v~#==GV}SDfr4uoPJ~P@EL d7?bBKzjuj%%$ UoPF}`mW\qM$ <`Pl+ƋXTIlEG$Sp+|h&E)G#vA[GRe%Oe5GǥDf2)/ڣ\"VQ+ cT4k\8H Aq}eDJ)jXۄ#2! Zڀ[%*(h&91(({F!.3# *!CKn‚"-k${t8E }J5-Wg|kCY'9}C)H 'L#PObB~qJՁ'oCF+ 2+?$C3#0 }mЏ3!=* T癎{Jwi jQ/CjP#u91)!/%6(l+(ٴIFe.gWWȽ-Nv,ju1 Ϋi9Y@*z uPY$R TCO$hm{¡i ZDD!g{~"~/bѤv4m|*<&]yStwqE\_< :룼3]jZ+b &dO Eջh#z%:4T4% ٭JR -6)'oHM* ^QJ:SPT;mIsD:;([@`C~ С4M"z8J" NB{! GIޔ:"(CuY2DT'v QOٱ\__oAc*)b/Wly]ͼ3^]pyxT2sif(JeIAD-D(xHQ-CLߺ5Cd&6j]Z؅(mRT'H;J> Р#jߠ#DsB5M 9grz"_n !L[Zuk,ɸ(Z%&yd\n6N֕h%TXKH>" 1( ҂| "d)O\D-@/sp_ ]E<`e+ VQ=O]kD\$sChMNC+/J hS +Uq)EMOc629D5qa(;V'ɻzHWнm#%ױ]ꚸc3dO]WvTT=IkHVɶfiRЧB<1+Ʃ#Z)MZb~(Kn !,|%5N@| #n+ &|Ez$ҘG!o751}6VЙ5T@~ "fJ!@5 "1*G,JRT[Re^@Ŧjr>>IYR4JȀ! Dӿ4%frP\ͪ_j#֍6VY[5WiCy]HgϭI"?@3Z-+R(k9lΒ,h%]' /"{ !đwm{TIj}2GR _MF KBBK0N?2({RG3'%{Pޞ/.2|ȗ۸|( Z1&zf~SH#TdC@N=E&m%-Q,y}H-':!Isr)+ڂ<*Т r*4Pܖ-U~?~TڿV /*fͥ L I!( c h.AG,졋jRaS{: KT-J)ITq2w'-|˃=UOPH(iN"9"yҥM} FuQWA#@H 㠾9oH6I^T@uCI@~V~6DR!֠&: ⥠&9D`RT>^h%F9|~i;E :J++,2耿;KAtt`$c~Mʎ8(<ƴ D5Hq6xllЀ kX!A? ?L~!eZܼcVZ4h͓Zdӽ3;Uv7Z9 _ѽ/BPXS&Y=]Q%wynOMGTj`% E#&@] "{ ;D;3}K߫8G㣜^vƙ|}}id7tLJ9uWrtB@4 뎵2,s`#QR%"\UVtܵ%%ht%)&T CZ %k:9)xg) tvPWƯ!^Z ;bXjv&V8nx!DBC@y; &k1/lQ~(&c\dKD@sP&6gP^'bx=$zt"iJ2M z٦O%_bYO51^RUzXEq?UK]ejYV,vojĿ3;ZyyP܇1oL9%WV!f,I+mY:/ύU6szPҕ} *Jk_"Y~9- @w__;mI>SD%B2(z̯(2З;L/Ͳ%ie}iXt ApTehQW|Ix $IC#V`e% ~ !-)+B\w!h)fя =O4ê% D%Ig%wgHu~>:?^^MԞNu|+Brܑ4h]AD +Lj'IGcxMNw^շ3y7-kZեD)/u]/E#t 6K _y1T_&#WGB A@XٷECZF!M[d){Rf(}MneKP[hס#QBx'KLБ2,i I5 r95UUJu3-#L!<CTߊ0+Z 6{XYQ.O$}%@KQCH RdcJZЦ?n!1 *5gYDLLκJt%qtBI[Ug[_[O4KKAyJ꘽0mxϣQu%~j9 >~?Ā%׺—3uN_ 0izW9-J]%>IGug Oɯ[9YODQGBĭqm{CaPkfD#HZ%y @km%mD$d"0R$eTfob4H?q*JE2 Xyn=«ڿOG_SZnnh+$¯kfNR҆0k׾IaMUupPP ;N#)25$@Qurw*DUERT#DJ Kή>ކl"tPyVܗH kb n=ՙ,Hd~"!6Q_L豨kD:oOAi_l c'eVg-VZYLGQe _hEEy5!=:& b1;UfKs$5[ؓT?d%#H5e.P45aTHn8Z:Yڀ} 'N@6sPr(2PDaԢL&} Ϻ( <1QUPYc>+">cl\='bAb"M!118KBĉ&$E&KjT a%BPщCZۥQAU%{-+&/fZ$q'uړn+r&:&њ ;с%wv[wG$W_`D9gPሢYl8M"CYy&$ H3=[R" F/c| Xt/.toMs`8, $ϥm\$2 ;V "Ѡ'D =et}^-(=K1wCΒ֥Z/_Js}@-H Sx#m(** VRT%H7ܠ,tVuMh]\ h וOxP۴B>=ԝZt29&F=tPaiP +N'6ki[Cn)-,:w!sD:ɉj:mi[eQؐ%""~:NcѴSۨ.:41A[ v9/_O;D jj!7rΆҠ1/yƷ,dQ CD(6(NJ\4 rph)-`WK:+օ$'~4ꋶ)#*~T7ȷ*P : .n|G/*K@!b&ߡ[ ); 9rU$9_\Z^>:ͫ*HೆcԌR z-hKR'3brtKΟ!n״5/R_ =<>w?ukKSn)#P/"_:0֧h+ۀiwbInY7 wNc''E*ېɡoJ\E64n)JX3O 6Iovzct#J1"JR◡{3(yaA(H Z! 1 R$#+PEju.IS$SȠ $ -)#8j+|bvu NzS&UAL4)#W&D(D?tf  ",[Q)#|!ŅGuRd{},L䢻b& – :ɪF=Ķ ꢾ*#U5xٔChL*bK=D<-F5 󘣥J9// C/DsNӤ&I*KQ1"TJ9`w䡂x'*::uM;eZ/]җj}@NgmQPW4zf>v_d6c5+CL,[H54~.^e_CS&N'ibb (,rq4~-3{X%@>cBE*]HbW#>6FOZs[%o~.srԱz_cGG)6TgL]DRd٭Zj :h [vWXߝ>wY5eXtdj@ZXD ?̓Ɠ7*ֺDr\Ψ:ɢdg^ɄYYcP, 7 [!8/;::ȕEAb 7{U$`F( tf j 4=efdIh ,*z)il!1 ( `$4ClUGEDȘ!-p%xĠ5>}Ug %:z}WmqCtY5,¢¢@cP2NTd4י `FI޼"g?J4+== otItse(Z身ZѪW6@cg¥9%*hKCjRZ[@9)!pⳭ"JPGȥ4BH1Q"% 2[F~64*{d5hM[@K\ W@&z,r5E^ *(hOV@yWG~k ]\Lj=2_9_\TkV GM9xSi&E[.1I 0b:V69)|2ۥٖBI!܂'ČnTKRT*tMl_U[su ]hLx$Q4_"+g_6W 蝄tW(+T&f}8V4PT wG& J q4iAƿDp# Җ$( ģ*ޔu22r' 󬋋-ۆ -.kk=&Tj䩃@-m;`]62RH\vо};)1[j*jBpV !>6OjFK빏Z XI5|R6MF< F_mОYXfS ŽMCrn'yo^c"Ȝ?4'u$"b_Ot a+"#>in$Ҩ.k߲uJy2~id}4uyz7ukJV!VFMZ-zJ((\-d:7iIǻ.gd){YcG օImHwQwW5%˫MSWZ7T-6dv!__[ 3$a:t'm,D6 hQrVR5EoBq ArZ5YC[V|~d!iFV\rJ uG/pAHB~A*?:-BpnH&\}AH Jq,$45)ʢ&_CF!Y ǙRizZP]CRF)XO"))@D0)\ 9;YZWeU@~-o+x}PZthAu^З6)H!n]c%PU[xo :ѤR]乯{7+I }c?YG9Ќ=CK̠2($`Y;CQuL WV6u9JF 7 ˆ]5tO+~/HBt)KhZ<z) ]lo 2~ތUAev'qnyь+O5E2D.J 9h~Z5hY\AS$ NƄ(-~FaVg2JݲI\6];'S\Dk؝hl;P#b5L&| C#$rƾ6riMl[oqУ &q" ݀BK(1(oxtHBgwBx19BI'̄Z_N4OSXFj 29'i%;)q @\[$2IAtS]6 JMk_V% BM æ!LRU?YM6;-SΤ~Asdp/Ej%i*f]ZlM 8{Qnz= -YʌbTKd F/h$ViV)"Q̦ՉACļ&.)XCg7M/)*D K?}[f}jD >qfB?71OfMG4h.VF=E2x;J:k6/(0|-b@.)"ndE"G"!fiƨ0m"}fG!ay"Acߚ 9/@cg!1eBaݗȥz@F=KB-KRFrYڥ!)j Rɾ%HkQ&ͺn_['WU9 _G?<ʢ Шî#nmVDEJ#bZ<Κފ`]){`$RPea@s%bSj\q@?l-& "&rbT&;:;بkx0Kb'nc- ~~/ gjX6 %!@m{H.[,dC<꧈RJNlP7 RG/ʂ%MSuD. *5{' )Jg-"d!/;h|pY4nQ,*@QSQ` F!۾tK򲈅I@*:!@};h|'!q&],}_4ա5HxTjLun:ӌ>#t QWdT%"]P "6H V (GPǘ=lٶ,X0a%#>U*ǣYbV|*,;$K. c-ogE@x4k6h̤&$p @ ")c]䆆7γ\ ݠ FW!0F(*ˋd׵InRu$MJDޢV=?8N=U)| Y%&sD#ԍL}K&Zm)KSRv7XQMU@MQq I ̋.$Qo:f\MD +r%lH٘jZ>ǝ1H2&rttPZTF h cYY!TMtBCsK XTw){utjgǝ_SlW.eUmu"MJRJTJ7;SamXtb_+d|?=en8.Xr-2N+vQV'TRN$KQc]\Q2킨4+@+vReٟX~ w[=/#]5"ZcǼķwgbZQ9{}r>~0nQMT85uV%ӋU#T Bn92ڦFlŠ^+E ДԡYd|$m(iY4J,k1ӮjXSL*(/nHe0W6:n <#3j[w yئ1Od#dSui3`w>= ]vVmPUWxQPڔ(()Ƃ7k"7 P"4B#X1a[G-E;̲.k쨠ҟG* ReHV$yK^U:*ըlHj[]h3PEDnfFpMmeK95Nĸ<7)"w@vwaW=7E浴>v-"ZM il0DoݡBP{"f/h:i3J\Q]_X$iYtΑ/NP]dB|<%sbM{AseAdb]xs^[: $=e6T_j. ?}qfT>'IOTR ހ-+BJ/! 9Jb't¤.ǻW5 % 66WWG)|rέl2:/[(+ǢKP1QNMZ).˼Į Kΐ 3J+t }JҰ߼-qQ+s;O d=vjHQpKٗԏ"X'w%Fg$H!0H 1H_W4]h D+ ݞ}l.[6! >& 6{yJSQ 47aXt!}(hoqA}tqPVIiKdao$o_QnΉV[RL-M9sH_ΡoGlF)V, x' t4jP'k`yYJˤ?4J5@)\Zj޺ ~tSVzWmLdm`I*>1 <ԢĢ5irt7-H^u^Z :K[jl;RwubL=ib EfMM%iMw=Ic QyNW}yٔ6|=[l]bZ Ly_kl*K|iJ&i9ɚHڇD{@l~Ͻ!} ϼ"4a)JE‚"?WJgDc$d٢إ?tPKlٰi >UulM4t rƭ"BF 6NL;JkefY ['6(K|.ȧ=CbeTIhթlS%|xF-JZ%:Jr֭kJMCT&!F*"(ʻ//b¶%.B4%9)| _=|_^A7cg@!(nZ.O:95<*9HiQIh*Uܗ֤okBVZ̧msJvx7A( \#B@ ,jC0LCdmB-;K TTSp0C_,SGQm]6hOyh_ЍD+ l0"R4y;B}L!fmfR@VWUT՗uV'ʌAK jSՁs\F F0JĀ&(,vzJ5'cQQDs\U!ܟ>&FȀ-/F˺H1+?? Ch"lhE]W1)$F'Is֏:LNUkZ5}I d]A-{l&j<=iS$aMRBRPƍ)}%)<H(N+2 (P Kdy)L4 Ԙk4HKphvP"SdkNMJnc ΓLPUhtFe*IY։ZkObF'|H%h9PؗԠ#+k[zr[~ʲƦ9lbECgWy3*spCҍWslc,B5=IhIjLgoMXz_ݐSuŝapuZ[),̫Φ{ζXUL\ͫRD$htĀ&Ƀ@.jJ% Z> \*g܋zRq5.yUc2pZZ8$yx/yX!,R%:d 9'~ kc l&M6) mrרHuK*RF[?z J2U3L\б9,<'[DJ Tb^=Z-hYBu66)&ՀP1&N(D%Et0lB >fi 섊@x%o&rԕg4Ůsš=ry 󌀞p3xsBA@,mb>|tٶ 5ZZEAwF- sPR\mMs/Hjf̡,.3tQ l^y;Vtp Hs,B>),)kSk0`}/lҿ9 ˘7J)y,ҵwB?A?}0iUxd\)nԴC@5ȑo*x8^TimHU6?%BtT9BE& _%C\cIJYTmk7:AE*)CR@3J G%RX{)P(XQ BvDnmfy?7kZ7]CAl\YC>j1 AaP r)o)Hs%}DRX 18J~YŪh6HmȽoͤM䙼kQ#1D~$K+hd jChQL$; I]~A3چ3ٹ4W5{ھc66'SJr1~?#~K.>qNB}UJbF&NadHE Zuu] BeK$$Auu 5D? WM[T> PݦIFCY&5K75KOLhmwDsPAIBP9yM_R낋F%H. ;m{POoHCm b9HGcHQ7y{S+rṭ"=%.,KH?tťD "khmqSV3Ȣ 3 j좆>Gy`RM=9>4jg6~N{]J*ӵں]egTUm9vJ bs_9~m ~lYOG/*QTtU+/h_UAgTcP_H4n6 \{DG/rB"1*Q9hq>6 ,|HN#hl=ۋGcɲV5Z-OrJ@E#Dcٖihh岪ۆ]gMJY$;υv?b+ȶYoYMOM@ScDјLJ߲/Bj\'m~ }/YQ &vʯ(QM`yy r,E9DA{5~Cip.~k^9Fq]B@?7EUL$T7!SƄЩMWJυRXo=KJX^e T},A>=TfE1n5~zJ-N+t+' 5h)&A\ %>V!f֕Or9/B|-}X.t"$}** )aRy{ocT^Eb3S.kI֙,[]e.|嶊~hI  feWV}z[u9CG:X[91 GZ`Td_J!0ND'h%A 'r|!lCtMR x{'!}RH[,| #3\F쮗)FfXO`%мd<աhjz1򠻉B܄# Ȧ,=֪ˤn#)u!CM'ÕfjlVhO\r]lgaF+ÅVkJJkW¦9 Y.C X FW1)==E8/ 8Qj ʐlF*x}R5D)8Jdȓ;i~)]Q4&yN6 BDs<Ϸ"0}A1*)jEm+ )u$#VW7-F_Pt[sSvG.;n:LjsGPץ2nؕ@|MB Х PsUS6LV}*bQh<ְp('qVZyDuQ5CyGWV0VUv1+H9\Rހ4 =|K@͋D(҆=/bZ[bb>F@ݔʆ43џ~jÒ+λe~+ _~jU5^)k_ֽcqr!gN>~zV?T-8;o9\П[`Qw|g%-k_'}u77oT+*;Vɒ f{TCJ-oo/k"R[ݥqѼ9-Q"IvQEAhtCvKҏds`M6DaI7-e&ͳM[̩6LLh1@$)[μ !qWٕ1>i+ouEhOI]Xߺb@0NbH+J5|*XtG)#;v*Pu|n9[A2 &F87ԺωLw}?D,bN; JkD=.zۢinl! KԺ^Dm:Sե: ִtݲXP 0#7#}I QIrDH sQkȯ4QJ +^V'^vUk2tgZ=rJ3 da*s 7K:~Z8I$iB{¦BŸ&qzG#AMӧ̈h]6E|ޢ2&Rp\}mܢWڝ%+z5h*z VI9˪D :͈z\yaqO~L+&8͛&A>yne샙BFf :WbSwI4!@[ӷ BQ4 ik֪kS5$h ˾޺)\Ic%ɋJ~Ee)5;圞g gE>_@,::G"}/zQPD(x»J -CfsE; Ș2*hg9vIV\s~ul6T-mJ~ xXJ,}#O͸[Gp4Bؾ);W̦.D()>)/[YڧOLfϷɭRr@!NhդDBRU !C^{TB4 6Ğ̵}bgF>Š.NSsSTuͷ^܃k!l[[ߢ̥礬8ηO FM;sքӖ%e{QԱcRF1'z'i*)HtZ$C{zݳȧ2bacwA"WAt Ӽҳ C!]5r0!Q6 2J h"qZ: J 6& I`^ޤ*8"!O߂m+C|KBITwM XݺkBlJ1nRV`jQ ZϿ5M`ObvS!xݕyO]KV5j+SdqfVTR!ʒP#kth}:kxruьcѬn>cWʅ{cm$2_E`1qolcXdy@X}&=y~NrE& `7onJ~ڧrԖ0O;<.{y#ڙ2fkt'( F.4buQW]W=sV6D7ڳ-}Hv]-8'˻U&as⫨2-$ͫWEiK'(KvѳkGQm9QUVEkqgĹxUYy/9|:~$:״*c 2n\1D(ĽKdY_p3,;2XK&ĮCzQĒ?4ka2L%L&5Id67CeDJ{HPicZdZ3 3D: R%CoZ൦MZ^`h/-hjbB22)z%{˳ʨlrT=Z&eRuqWy*].NvQ@SyH]a*s0jI(b(I1^d_Y6awm_Ȓ}V_5Is⿩؂>-[%am-Cs4yTܔj96U)+R:bFd7aeVJWD4KhʅeAy6٩S'ΦU`.t$ (lBTny2OqRW>*%{&tK2%L81B} 8jCSfQ2IҐ%4sKXTWuUjZJIN+Sc !]qQŅJftn+ӲX7Шe)nVG,(' Nb +F0䑱FsTTIQUNEfc%iKY%9s~R={ҲLH2M<|薯hŅmǶ;xNC>ϣ孚uʲ "X ^!E=4nQ5 e4AZN;ĆצȲHJƯy%h[ď e5T]'}Rwf9ULY-kՅ P^yr&Sf2!hdOav*9+@ƾ=P[)-O4_Ժ𻣧=c?^^myް Rf- sTDrB@i򠑳of*3T$o}eD~v57RH]$%Hת0Ǿ-BN!ӗgA_+H?4XPM䤞QrG.Km'ܭE5}c%]@Gecv4X'ildG?i 9r&lBB|PUZ2mбl¬&DcE3褩C\YU=.+l >%| 3\\G&=hƠ[ISv%;*zëpd,~V4+:Zî-L v6 %nevt[O!K~hy @+"1)@J{N (G{bU$bLC=0V\w%DlcGQ0]GED"9tc"#@^dz*( j{u)WRw%^CY[CTveoxhP7y'jT;2-/fX_'4\څBb|/+RݻsX ^ʎA` }T-+JU]Hu raߢ@)+s21l٠b@B]() ,5NzL{T6>fYR4-"İipUG]mO}LG^J@ey_{JN%n|=~[S9AMSH2,qЫ?ls3f2rqew}[dSRѿG1 c}Jˢյ˒Cf_Ɠ,N;HIWZ\q"wQ׼?D4H+>ֺƁ*Tu'L_͚14J;RE{sKEq?ST'R6񠱪zZUOUcdR`Nfэmו8~C)f2)*R"EhT7ҘyA{|̵*/+~*. ;؜^Uvgn]Iʛ_mcyTS B;=P_sopyJ$Ͳ=, Z?xvUcpVzVU+U?T]U1o; v_㠬;BX54~ ; JU{OyuhT|6qF YS(,\LX'o0̋>Q yq%F:jC/L?fɜfc̀]ɪ c2k4NtGκuZ֥͛L?G7]ޔW7DJ_#EtӷyHct'-S$.]/\+05Jp|/,b~.i2<>2mӔ#kl--ίnzny^rxl1% 3_$vE2lOū&\/%0e 7GIL {I]`s_$MgE5|ÑauUbS&((׾.jž꾟'f"8z)1ճCuEcfƽZbsoUnU\k֥}]e"n)ֽ.h va_f.A}OIYh֔b!VE}-timj)e79D0 'JFj B[>0N:Vu"Nyk^ԕ(А3i W tw/ ̒9p9.kr=98ʐW-|nanpPLnЗPXF_9UߓBJt7-XXgGU]PS,ɻ^Ax WyfhtŎo5DX$=W!HdoneQNsJb 0 h} v IXV)E/k'9K^yTqYtnh]0Dj!Iye/%MRl4mn״/4SUcHRTkؘ6fJ['\F*Vժ+V*v q2vSD9C@MP׆mE)jشm&ܔ B|$BcFs:>.DO[T0&~K {CJZb&!=%~DI'l x5 `YBT@*| !Ye g' n30m{_l>qKj%2/+##/R n+zۥ.[8to:9icHK7q[4VvUtlDQMU>~<;H縤:껈 X׆( ~(鑧iL#85 R/;ҙk0cWէOE+jh=q%5bǭ%(m.9iZەzx!bF)Dr]kz34>GEU"{i߾]EQ]kTl# uLA?,lhI"<EH;"'kcD(L2S1PWG3% L bvew[,ȯ>K9r%IG1_qS^^vDHdvա!_!4]W)kVm.BxZ% :ʯ;{G);D@|[~?uKMS蔑7| C2J^,M; ɥ͢B?4-/Jʭ-Xc~ogߺ7/y4JQOZi{g)VE[nܕ#E) ".+~O)Q 9ykg욘7=Jg梳 )š/?w8-)6]ՙba{30RF3Iz/Ԭ.dL^2㖤7LKZkb/H/c*مSQKLp@*#$mУ7d]RvfF4r~r J?Uk"_+@>4jHiK=MpMxP'e>ŽR9ehV$ı,jn mtoX$CmD.^ܢݿ}\DsVuo[i^rGUOh)*|Rq3'ү6X0VXw&.}>>28#ye\a12K<ɾ米U[G+HM;{Ȥk7M|lBOs()޳ Z.3t}$jx S#XdΗ?СosgN ݷm*亏˶ f5khPYZvnV&ݞGC:tkߪwz6P\Mx{ ТU@oS] oؕ=mOYFlSFS>RfiZ7KnȵOOWؤ]Fu3_'Ξ&S \އ뢭,dZ%=U[vE][ԡI~?\^F|~Jbce&a_5LU*-\%Uuu^=lx/ mξ>@*%fյ}zgJH7ޱh6*̈euIVE)zUya\VTYuF͑`׷wgMxMi}nR|>g!%tuAROzDZJ;KNW۪ҹ:_0#J Z65p~Vq_IY۲)BfߩB55jN> ~$\Rֺk34I:Nfםl\`[g{U$mD=N$,J&Je} wǁ>u!Kg5WrюzN<ɳ㪴(hE(nu%OByVn[ȗ<2ͶZ҄.OjU!qwUY2,Xs:ӢD]Em B}f»+&u,yU`HG ) JⰠ `9*+ JV~IbvѲ{=yd\8l%*~[M`kTɸndpXŽ)?q1_ƶH)>ҡKoNLyܷ?*zR,Hۗ=jhNhhibiu1KO>)KDj s4XX'-tWj}Jj~\-j֍ _KB)I.ƤJin0JƎ1_ԧ nߓ?5I%l~⾽z7'Z.*: VYͨ+JO_SRfu#W =*#sU~)5揹i^HY҉C,jj}f,նΞk-5jу[v \s"rVUSYUQƾSJʩ>C5$ʼnU)fNUt}W֧UaAm&sA%:l4o"WA/$o|:&R ܹO0{7T҅C[RVg|L)[H̴,fX|>"S?\^U}ƽS7-l1 (3B2kBwطՕ5}ȦQlZTKkۘ*r )DmcN+."NX7~o{k.) zNc^/I@MTٹ} cְlIk_HMrԍXLXf9e!Pn}"YG=AX1Mn&J鄚{͒f&z&)f3 ؝+ʨ9`_[hB2 vĨ]4}Σ 7 (۪OR Lһ=RM-zwDd\YW}os}XTwe=Ho dG.!6N\%]ӯ(xJ{aTf ij)@} +s[[UFRUJJ骪\{X% x1L>7bUq@M4!ԷNUP !QRf<E!ǐn Tyx[/^ h!-h!pm҄ST޺oILi6|c=>g5GYGeQCIJE a]\~,iX,X8ɻO^bOyCDOټ]=nm5NB!*J[47N5z>%[beBE*$zw>HM, S]Ľ!D*lPϧ;-/B%BGSvlXR$@̾RC.Pp Sq~ M?dIs6v ?d~IM9t|HLc,ͪy4CXj}(Yֽ:(*n{j/5hpꔪ{ӺM)G]A;p$.>EU_'>6z|0ϽOg+y擭pmXJ< # b): 1LT-ե ͭںK$άjFRdM*XV]gqJIQޮI">ڧ?cHìJd|Rz<,z⠲k$rBnۿţЯmn_Ҷ4T1 ^ #x?g|O9sexxv*ѥT Za~l>XSV r}H-&*ڹMS1CumSQ[Y!i_}_R?C,*+SZޤB>k7h/yD'( b_`^v)GzWEl[%>ԑa|k$cW Zw5rՔϩt`ߥ{pYzUwzġ ٣]eIyGKR Gu~j l-; ^䧏l "FƤbovIRƜIcMOۧ^]z\bLqYr)HuCs?_M\vKuH"iXutrT5 :&S@.TgQ/jBGΥ?ͩ c/mF$6tZ`%9@M_ڨ?}OL,mYkT=aSJfU.|ik|w[E ZrQ:){Y~T Cf/JҸP'ر/MҟqVMd95(<&DrgfZ)(wX).u'FXsBU1&em,몢w+4g_όw$!tsݣcBiV?5AM\e{{%Nl~WT:,sz-aڢ&j;:鷏y/JQaU[X]Zu-ceGƲ)7Ľ J);KbӬz?e-z }t_c(Th̰HզeU -jeIȪ>1bfYIR<ʺ) 6ɪپu"`w|nb&/ZD6,G/vuIfZUO~]if "POc62ύ:~-E֕EKUf-/\}GZXŵ]yr0RhսSv Rt[T*~ +jߩ1JW5RV6iglՇ.K5:c&IJT'WdΑ4  <0̿=IPs$cԛr&i?5iWwd* ↯/Ll[G6j3w(qrҋJFQULv J5EuKnطX݆ILV2J6{e9PF?K$H/kġ"v|o%|+b* RWc7=(J؅ɢF&JK~N+V(ǥtQTVSrUfy*p}@N>9DE)k\:!UTMgQ,fk} "I$KBZGߢ5Ds쵉*5 CmӗsRV-tV 0})ػj!Cn'Φ:f?@rT̼*5SȫΛ*ЮjJɾiNsj71LvT֑"dS Q6J7A}ŽץBΫeG?[M_}+*R C"6A]؄&Yg^놶n:DDzI~JPvn3~;농N&ukDIVuycu_"tuMmHddWM-WEEro\|nuE[PnH?kSikcZR bQkKE}F]q"TgM' #^'2։[F!Zv 󧯉Y%臥E jP).QcH7q#Zg{5iqjҦ1I ~}c?^s?.jk)m6v*n[[k[o5ſ[놸5|[\57N|wkk' }+7F/r4B¿sنIl3NRWur()k XطI,~K#"w$Hq zL"F RR]VIi\ phu]d# ,"lP4?kW%6RUiK@|ܬ(R͓& ؁HI=n-'r:ŹCZ3Te͆P%!jd2𮨇汳SoX?SD$ɽMsͥ1;uU-y],NԵZ~oqɶgtCDĽh@N"ɾRf 2"ZStE( 3Aq9XKL0ɹiKR_*H7p2:भ"l`L.$^aYq{ <ѳzfG}JHБ΀o~mz\*UK${@c#ezsB8mih)*!+fhL ArwE)J4atkf?!Se0_6+N :IorPK.bԦ"L(JN°>{>4o#*7i@ıT'킲+h׺$I$ibo֧݇ʾu9!rфQn2(KzI2B+mڢ(nzQi+jr䁃F E>OJZu-CrGA{M&Ϲ.I2hܚ2S-]TWeqW!<^gK%!v8^94pUTJD&IċIGuUW'ėY;IRt_PfwQ'OSi4m[{نI^Owα4.pwKehXlĪfɳt'KL䧟>0b/:䯥|ԄMu{niP5'.2lѨcF){xGUo$} ʳL=O\QrW\+~{$,ڬ%i::+Khqoljl.?g~VGQ^Ya=]uUJ^_7̜;P>Z_!DJ7[Կ90NS>;2>d&o[v1(˳S8@5L!O[WdkF󡵊2\U%@fj&.[*[cVeiPR5jR_:d%BVg4 ckĞ=SG^9SH%NƖ/h~֣^?%e]4|qۣ&i+QZoGHooVVYƕcD'Kg4*鮪㫪?GH4xK2JFa8NYReQVGk̝,l^0ŅG%i!& YPDI _/`BxR6jX]憃z;Vȼ)_Z`_nZ)`ՑlzfHZf5'½k*U5(ɓ ٨HMCH0r_oU }H'`~/}v|oWvޅ~Mt<΂) >&G !RW쐰qvf9JiȤzdKS>ՉwLbq7ޠo K}/S xihm[:LֹɢˢX ʳ.#>ƭ&|nUfBJEtTu}Lr⬺hNZ;F-^' [dթo(AyEE`hϭJE-7cCr2TWHjYزi5nM.cӤBp'+2 \_n()`?~)'Ev?]TY Jܤ-N9HsYIt&eTPP=<ou0r °')Ž +XJnݱZ1L{̻>v$ncps)z€0N򾭽n[L)c[SɉK͒LW5qW%vQT\5O`_-BFx>V]BP,JRO`^v!5x؇$Hg9#6ˇ5j4쳆=kjN nEѱGsp!)Ibȕ7TY%+x*1%qEydeIPmz.3WY꯼}oߪ/ *BqSopK9hs|UInJVeVS%V|H ʸyH@l*5Kz̋guq< \ʩA@vOZ}.qӖ>);*R-rE"ҖoS7!PuM VTDqZUjw|);*#]k!O7 >,*H4cɫ6&y-A",ٮwUQ?{l˾_1l#d˳2̺1,sO+;b%yHf֖ux:Zߨ#6!3h ZNI2Hгk?T~Jμ5>$Ibj8C]!5Jڴ2)o*FJٕIWQ93"dc(\YUs|Lg^ߪ6i#UQVmr\E)S^#NɂN$JjԬ.wz4M2Za6u0Yԡ|n1qPZm@x79-{В# ثlΩ[X(yߺ?Y֣or3M h4 0q*O~ק9WT\ݘ0]tVOkַb%**7 :Z}IC[[$"] ]bEDMb;j.JRܠ=y7VZEUk_J%l#@E1n_R)lHGK{fc[^ax?4: $Jξiu fsoq!)p>b+PmS9e_ȿ%HO1tTSťMgnsD>LtC~X`k*3Qúc5:Pr@J=ob)iGE9kUdRԦ(iD$'GܪI ZRRW]`Շ?d6e)O|ҧLC s1#̨R4n΢'Jfނ*)*{g(S_ڜWWqumLvWauN3\FBAW⪦j:L?q)f9+G =i:묊J%eWUcN6QX]w%N;WNo^ۆԫz3iی5MsJ<,,*,O-U-qpÈ5#07j&UnŝVQPSU^T) J%A.}n*oĥ"TjK>'M{J#Pa7طoOia?쿣b4jVtr֦9h4T`TK |8+Խud x[ {_~2;/d^X+UDwN Jgu\]f]e(OEH\4T0+R)(l׷eD}LF|jW1Yiw$4A,IDhY `F)j6n3x>xU'NTXv)b tM-{T7]u6 9\֗Ԓ woV jȴ o[j}oaQzFY'\Y$yUuq+*HO@XR0J% % J/D/ikCFD, (UȨ Ž0*Xs$lX&]KJn{2HnS2( SY7M *C^R'-|J𿅥%k$RN>M\UA~r6oXY trRC^_j@¨Oբt;L:7Kv]QPޤ'^_XfesSߡȯ> W5uun?H[Ekh_V}-ڤKkQ'uh]]_5>V MHkh)sgUaK})|Gz\+d*N7bVŸ/2ܩO?g oJF-,oEm=kKK0 ێzZw hhwŽ)) LZ]by$-P7LSAF+ր3q]fq.SwĠ>M(Q>BöpjfuVˋG^ĕ2j|oŧ^X8YDsx8Bι$v5UuFmvjicHa| #k܌R^:0L7 bu>UPAS55GULP[$S B5N{޷ H9gvnou[]|Jk:qEZ\uf]dX b'n$+k$JيA,$+ 5gRױHF%j_3G?Gql!o\uI@~5T4<) j҄rNTVM q1 +L։TPՅZ[ƚ*L`'ZйY5]^օ/ߵ} ԯsd7&Gd@bǰ? AAB4!m/i1܂@LHJ&p]M:8Ii{M:w".I$K^A )_:kIAEj(єSE_FW2 %]( }X/טPfC#$WB 9UdTeOY \3Nӝe.(P* 99$(cYZ@ey#ӠOF%iѺi@( /dk0j"^XFB8sqH$Xٳh9p *tc gcPZZ2҂y@T PE @xss< H΂Cylٴ9Z(&ҝKvI)a TDePA l7]PZE g(9޲2.==1奬) ]*q˗P4k:ӵ)iX0,HvZzf֭VRE-ŗly{bĶQIGNLf!+݀yp&XXXP!Fq~j2 YKUeHQ]//4BE#BXBjjhbbR0 oY!p+Ŗ_E %`Yl/!!BKsyp2e q JqƓm-(m  P[|pՊV6||#G5B]µݵ^h6 M͊5SSi6%%%\->>mM&O'qм-(AAFj81ĎEr9)bFl¾<"",0 0Q1Tr,1p:aqPxLn1Q~DcAAݦ$&(<'f:wx/O1{$?};{cigL/~~9a.d{vpFG-g6~_f5njx&O#&k.z8p&+T!vSaqWqʾ +wmngHJl6~; xpe> VˤIɥ.q700{6X[%QOG^֘wcĀOg` ~|~Еc*h+;1Y,;,bРCl.Лyh"$HXS44qq|F^]ZEz`ǿޝgʏ=$CR0~## J6m2.q5kh^aN_`: ά*x}`H]u>ۼLS֡I@?\XSg)b'KS1z:>UlW!QH kAtS孛SR?.c=h0Oxw<}N߳@vGz )А43D6RX%HI#joxPuuZBニUFw)?'"qd/.#** v'5^ahYAsCݢXdU`5j΍GV7^Wձ+5kF7U\_,J((+#Q%>I,Yu}IRif%-}8D B&S$ѫKԅAAl:svU%#cTXfwd2SwDdDN'ޔ$kpKFoQ2²%;kcuإwTwgYD}6@A@}){ Ov-ZiQ..x?PP"^6)/z[!bgFUdN(ԅcJ\&1SD VZe̿)u↋gx-sPua$( {ï 2 ݄4zjw\'\WETӶ1:H{Ga^[v?J"0euBG2ӯKB5}h6/z/ŷ#hh4LGGSdޥ*;jϷHI ԋzQ \!%tP^>֩,S4/bh]& PuŹ脹stkF=1NMD[6iM*IU]Q/.Ң)>(B&f&_ ĕ@Rau;YΞzU~874oY( CbJ#m F"x@U=ub] teNXTRR[ F4H t5v<:k*HfEHp.D6O[lt`WvNZdʒh_Idz8Պw5j 㒡w Ԗ{孝{d2my{H+CkW P1[Uձ˫4%#F'd2~lH3ZjΩ#r6+L,,kau@y_ʤ; v=֕TS%%OQXe J!fŝbNU?f7Et6|NƦ):0B&#%SܬL#ָsVq!g `}JJtPRݤTlWu?6]|izܥ-OJ@U-+Y  ~b5˂?'i$(ĝ)AIZdqAwdc^})m:/(KT4ϕkUum'ش/ l$VUVwa^W*-SCnP役kHrϢw/} ~( br. j!2b3H07w\0q.%ND1 :Q)ں}uG]pw*^ӣnZe5{3kO H @hj"uirXD6V KOk B%ık26J[\"t.`R4JTv#MXg״j;ImW\H!*zY?5%Ͳ*l_ҥ53Z_[>o8iS7wQ=P؄P"SeNՙ-m%5bU O$Q8(Gi`dCl^E0hQHYPaBqJT7]hyЩ./uS=M'۴ľ,ks(D*|Ms2IQ::UY4^F5˲1Ga_cx[bb#_.#V?73JڿT/{Ͳh!ئOBdǺ/pU=AH}5kP^s`EjF-a&|J;D7/Ej t7 "rnf9H%ZФ-<#nVieǁNS'Θ2KBN25#4RD*+2&o:cП}N"\$(@֢}Twэ!7*!4 Dԡ&Qӷx)wGWM-mem|̢P*[:nmPİMKr(i6DK$7ӷ_[R3 7C4[hYw߃j,#t?61s|IC5eQV)avGҔ%8OW Qk(ZB Iđ9>6y-OWH&]^߳4-*omVr,^3=KM20N"dy|)r?dKԐ YbT)/>5]GwCBAik. 'J﵏"S?ixc^gͼl)(UWò|z: L3l䕩@_&i }IhհHQ kEfVi/MebI-ZH1*Qb9f[L]e}=)vO9}jU5HF@On۴J!K@oTȧ ɫ4PWĕhYA{K%-,\Te]~\;BM'` )fTL5D3*nh})RͥJ0c_[kͳOvzI 0t6u0ZQO-lVO2͛m\UH1OqJ{C@hyZ\$}is.`VU9h[4j_>D0YѮ$IRΑ)^m4/ȕ/iPQU|H\9Ly$ ,h)"ɸcV᪘*(k.΃jȎ:u ZKUh&HVղȨSĤ3D$ CN\_W)^7ۡ-J{_ק, 9`]5Q~ :a-rW1aؗ%IS^$n"g r%(G{MW-2+;~)+kJf)ifj'LsP?[ ]$DBy&L3*y:碘u9%{ӱ{X[O*UQHmWRw歿^~H+sZi!mTƑ$r^E(b%YGw¾udS=*@ȆiD$jz⒩=.*b7":ФjؕSsyX̠!~:'Hs(3Z4L Krɯq-ƮLoV'9qa["k?vaS,#ТY0ܠ/IZ Cž/ W44kupD +<*. F@ؽO:@XPC]a!)(.+AyMiWPdRV AB$ ̑ՇDZHRI "YfP$K J%VVI()ʳTNZ<kub9£\v]EOXgiʃ&G҄aOե8iMWЎlb6G]Fm^RO5lXJFTOZSSdj5Yb4%xP4Lش\g%YEͨw8cܡ$Q`SD5# ҵ N+ >4C(m PHV~"K@iZD{P0*‰ns$./,t?'Ը @~?ԁ4Z- =z @ VQEE#j c4.ameu?poY= 7' )\#YR\KZ?]4qF#_ݽ|ھ'^]4yU}"XqJmʈz|ꂒhfz59-joOJ׵R7%vW%](331m>?X5mb=[-_*[a9VQo,uP'2pW o|Qie@0Ks졖MAISv~åS9orMt*WX~{4ݝƂ'mLRԻJ,Kb `7J1n|̪$eqaW4Cد $t$%%H"F]4B䨣ϊWWTj%g__*$e4& !MII@SPC sf au}6)Z<Ppъ!|*f(h H#ɓ]71v]269nd47 jG$3t_kt5R)ef--Ļ,vU}pZANO+K+byBw٦֜~4h1HTIfHӅ|kK%I=lYMeTyd r]uIf`1LC,.!:%(oJw[i0]$y 8v#x¡&25(bVta <Tb1VS%&BGtSh״%YJBS3L_R9SI'=5bjPvGb*(j#X!' ǰ d9HR}}ϡYR^Y6զgT!kPOuVbʺQ \G# F/pyxDž0E#_P;ۄK15'. V>tBU$j4d֥b%$+o-q^jX ̀GQi Ā8h)H$m3Ǖ䣫r"$c)n:)[_ 潰 {i]d!{[9;y,d%dݑRN%(ce d UKDi(pCz P_nA= 9_#I$mDRоQF$q|D|W[hmFgw5 $KTKm&ס =ՓW˳Qjt"sߵg*m{z)m~h/qAla Nza .b>D43ͲlB2(%=ACORЂ>w' ;Ngfaeg߲"H(.aQ tܯHnRՉPA]yLD@wP$')cq~q5ƽj@02OEY/T6},Y^| sbϿWȏ؉bRW "1 AA3Kb1sZ-k|jVmÚH\@G)Z 3kPPPT!?G^ 3.+)h*YʨӕL 깹 ,;*jR׍ւ%^0N \ܲ/N[Ez$4y3B3n*Vo\eO"\!*kҘ% jBD"憚2:*:Bm$qkܔ!J۳"`A qA t M juHQ"39mZ?F% BҡE 0 --]%i6o+2tϺpd5e*)Z-qd:!)hB-Q:6 cG/#d_w [pRf<#Qwi[EAg$#GnFrT5{޵"ULuS/i0'!-*}biWF!j{2XiYic[[B/j%9d Ssr) N-rlhwSvg91"9yO8+wR;NvPquV@I)tȩj"HtD,HXgլB~Iɽ-"=!N-i[>cW.F"S0'쾄yq{ĩ1F?YVk~*ͬ #>׍=]GmR9$Ĭaб4B: X|!-; .#mIH׼&B\8jBBūNkDu\Ɖ @6(H}&uR.r<K"ƀȏ#<)ࣤ~M]ՕE#֣"98~h40ϩ箭#Cg]#=~],SM6JВYАƂ6.8(rT7}eQH4oR$FrEnvU\ѨdoJ'JJ! Bj#TfGFĿúJ*ȳřt)ꐥ͢L"zd֫ G*ⰹ8(#WDB~#T'RrT~I!T(Ir%0i%/կhlBPrǯbؒ!#!^6]fCn҄R"hGZJw j> 1+ꎉYt' roLUww{κXe7ACe!VOQ,;ˣQ rU@ !/O+,|4b۽4} ,!j$&u TnE1`~i96\?UTӡZZtwemo4䖢T 8Ǥ- Gz_\iu\c>&ՄRѣl֩"Xh~]b-@r~`]VsRt@[1XCrE3~ Lr PfYD3 `nԁyB\  !j!{c\[陾Gȅ ;ʢ)qD%5x[CJ!QnBSצpRsP<}3fA MQ/GnkDJb ID45'C~-b٣ \6,AN$hF iK&m4|0 ʜy (OA!h(/6ݵj1@kj ̀ĺk˚,аӺOl7Mخ1txVg5LO7?5ޣr6r2"|VIE7}5$L H,i؄.z^Hy~s`V.a)|˽'9h {,C>tP \TpSβ%$d "@J}]#d#sؔ6 -KiQy"9΢$/NqF4 ȓ-HNx7ϡ"G[6,J *cD脥kW- D CH'~:>S+9`)?AQ1d&{A$2%ts'c"hP 6Hb?dk #UAWԷ-1"[Q =-;W4K*8oJ-vvАqn&O4k|j)p~jJ 6ir5;8ҮH 9/;Ͳ:JJ+@a$&} ,bs1% HL\rboهB! rD#MAvTM1hDCJȾ4B5__·x]=qAkQi HBW~ 4>tAOF<2Fcc涮{U#Hj[#5DQk59TYqf}*\*F ; ~')@XM]ܤWA^G 3{1{iiD%i4B%,L6)§b@/ Rx/@gݕ @=.#Nn!>TA$|hOlX4%{OF b5&yB>7>V]T6YdE rn,}$jtк'lzIZ1W@e >\7_42~ / -C@lZ5- N]҆>e;nC̻X?t'=[(O30#*aYt49nԿKUTcC 7C,]0D =]y~[_ V)E{TAGT|ӈA9Ί x@dwA1E4JNīkZh9JZDB},:!(%vuE\X:#W 5CA( R CvP4Sڦ$CYPX#m FOTtZftņ'Hby/(jJq`eUV^l]~Eܠ?gѿMIA'/j)ΪOACYfu\PR4Jt#]=E?tqϝp?i]i 9F5 @^/IS9!dQm>Y$(Mؙ<U-YTQ}ą@X#~"AO@B0oB^_ E>օBeRF& !BC6oy43Lˠ:#fUL$HM"Q]UDu@MTkHXfA$Q}nݤ%mAޝ[JT]u'Vmm,lȰn \MG5 D,؄ ?:xӅe|:#AOP\v!2N[>CrtUA"U~UX%f{qGW*H-!RTyRB\Sc 5'NVJݩdu_l+Zn/hm!js\},/wĹ!LwoҫiGRg[dNtz5e约%b: !2 hH~-oXS7>=PG,uw~ |;<] {t! PQm* #wUbQhN29_졧uSb↓@ݢ%@RY!dCXWdܫ'f/aJ>n˻}>UDGmz[ymDKBiZ<TT$du5y;ʹ:r>]Cث;c6|뢑?IцBbyc@qGY_IM\pFi=`yhMZfm _Y9Lt d4,b]dԌClPm*VSAB@<+hMR)}JqGG+<Nw#ߠ _Q[2߭H4sJ[ݧ YJ(oK2i@I=o/(!4"O~, ̰HI$Nz^xjڔK"iP_xBTWT'9=~l9@T$IZG BGZdAjĬս#k!7k$% +ӌ!+z#yP]Ĩ#5h44A@>4%LInVTBoC:LwԿE"Z,loSJ㵍kȸ$)B N[G=kU wwd[P;idQeG$ & DY1 LfQmlM 10@H(*+?o)_ok:VZ\99+GNw=\vD*HQ {Ȅ| j!cDP !"AeFrnصٴp?ܦzdzǂW-=2=J=#ޫ΋R ~(oޥX.R*J2֯3k X%FHSTyYfJ_SDzl;" bfչ *!@sP4j)F qD0Z Ww) |h(- ͊!CNmw}- $N_r$I0LZ%O@G7(RH.,,(IrĽ%J<>R:U5e ySԩ-Hqٸ)R@vY#D2:-dQ?4$Q}06 ]ѽ<:VZ9_:W;tGiORlQ,Y$B'J:gIrw΄N_u-a6(&HPڐ1J!U@pDsMߊ(c8۽m3"B) $˂G7>4(d"5IMZY)ơ՝ݭH,G )hVHQh(gzn#H(Mshf>mشbԈA"\hrhJj㧏[ iei[4o}[QU^QƯ3gvw|&^ !.nzBG !Hs~2qդ KY6ypf4RD 1((1 K0 "Lhc:=I ;fA$($%vPЉ-f :#W؉CZK<1;iz )sU7̳ ;/\ObˠUuK nޣA^ePAt)h.N܀sPJ {%qLcC)O"O @!LZاm#Xk ( n٦P& @ 7w'wN?)m3ZSy\Q 2砡BUXؠ]ޱ]7ֵ4Qwg7)s4hqߒ\"$%:!7N!VEiZ F1IT$R2dlpͥogf$FE@BtyjN)05 OP.іH*#4C)ɛtc@ |GgCEʃ4NR\B`#gy}<@U ]wD1 b'/*B3z7iѼ|?n٧=bD$;!&IkXL6 5(H * ib-LECRvSژ2>-ЏG:*h60s8ue.| vŻL F<;-UR-uY] &ygW:|ܐ-g̓6*%;UUNP3nʰr%P}' B"HdSG])1TljZ= ֣J)@{f ҵ"ΈIBڀ (HMT" oKkQliFDfcW|*WvDYUAOUE#CĬ"FGuӔCJ_ YCݢKK5m[tFeE4a/ D $̋d# kjp7+D#:.頻} F%ԣȖm1OnzO{@})VjC"čH,H]4g9$ϝH[Z1JJi}s Bqיו6 ؀̠-|YqK{2"]WT A>$&UP S l6.#xG#V4&;i=x~lT>d>Atʯ)R1JRNP$(MƟEE!S R%z]\w n-N"SuF>)\D"'~tXԙ\`[SϹ,r<ɩU+ɢ)ȡ7S1HMX4u1XGtKIZݧ-}E>w! :@I=vpzJĂi2)υ (&1A2 ʪ$)@dRLPYE! 1sQ: ¨#OU!"h}*5&*ͿAHnEؠqkpJZ BSfIC+o)iU%~6>xgp:Ojijr&QsJObM!/ 쁓^_@]u)cd7[#Ro[٠ͲZ']AbFg9DAOx^{CBB}i{tD NZ%{ȂhAL' X2 * f+,B!ZJX7[$SĀƠEhg LnV]mКD(!*@adɩB"Ptm ;HRz!m_B!ج[A"7uI[Q %[D ֵ|lۄ-󒔩H+ 1]p- B{#4qtx|~g+4FqcB$ Z%1r&"E 'i:ܪ-ȄK念D*j˩{P1J2 ?:Ȇd1TEN}NzR$䠘gF'\I༞{[:F\ԐIy 6Bka§ix.CW"2<5kEZuu{+Ɖ,Hk%F"u$ Jj0)\hԵDbV2F-`Pchj.#I>B"R$Q+ΣOY${$kjΩR0@q$'mA)\%e#X#R JM䅥qK-/lCpZG^eIE3: 9@E)+`LX$Ȇ2|) θ%WH $h$*! =O$֞)-)@cE+0dK?/MݷzU`f!Bבb)֬>Veubp/*PYuUWy]Wube]eu4ipV]cʯ-*=n,H 7 |>i0cIA>UxUmwVW)}gj~/}At}\#<ձofڼpfrj `Wt "}{s>|hNf! @hQUiJԗޏ6VP뺉i!Kz>ylw¿4)ih42]v!'IPק#t>'֠Œ!2() Dr:44kA{it$ :[T7OP]T[I"W9{Z_ sgQGee\.LnҷѬ(JrHF[Pd z@s[tKXQiQ F,(/@mD!_QN& EŕOe,G:  ՠ# [V)D,$ik]FED ͽ A/o "$% Kġu{%iFDDh( ou{;2h1jRuhH& b1 $HxeIQB"4۠$)J ;B ARͬl0qQ" ~7 :rM14#B{7Ij GY6P2>1 UURHR~mJ:zh,ϙH%[Q7(Ny pMPQBЋu7$C?4oYI^f&|l0)4^d߿'MqiC064ӾZq|M(H.V>E}?QQuץ\'RPi?~" ^uU?PS6p7- [V'yM3b: itd~@@?S&(]HCr[6;( VA,Su3c~?2/m%aV6zR4 g[u!qQ)!$pK9"KPc3Ar ΀@x=D2H=ho"†à?dBtנCBZ- o5H>աBH3B. d$x CTD!}*6Ũ*HjXeDڄ+ * *}(iJPY]1\.SD/*Jll0!W#4WqJ2╽Q4ȌsPVF/z!YDM5[74SY4Kٮ-\ťHJVپ܉5Hm)TMD3z׉J)kB; !4k3Zg膵 ;̻ܹj9]Slt}xo *I{B2$'DP,L͖̾R2" m3h|#pˤץhj!XGz}ϥkݟr9R9+놁| R>D9!:/)tBPS,1jZ3穌j%GH5t,YTJ.+V ~{u޼h(LK塩M{;̷JW'o雳꼽̙P̽7(I((oMU44[J!$jJ 9XDT,C#7ʽ;$)+8Šք.B ZGƣ4hQ5𠠩Ɋ =KB 5-:ĭms.#_V#jS f"S@,hČAh0" ]IϷWδOho|wi j8 1D:HLLCl灺FiAGׄ[O C#KКv/pi $kFC@@pWuakiqWh@Ӡ?AdWA5/d)5piF&2XNقsbqw[] 6lգF2e6`cn:LIK}JYN+dfx+L1s={&Tga@BQN)(>d#@(6m lw)wcMI[7XWhe!h [_k:H"9N]Uߒ_qݜo~I&"B~$!! :(*$ baJ T!6!:jO+deRIUBl5A uSgDzX6u4!KP5cB"PVnd*2CDj:47!>GUg=lbڽ'BԵOUčsnXet`D7BaUdCfJh\$b>$r)@):vi%*WY\}YW׽5cEj%K kaN3'!GřBs}^iLv+3Kb'ꋈꨏfB~ԥ^O,j(ʓŷoyje\RYKa= J< <>!-mSĥ6yӦ&٥oUf\KɥZ^7aEH 2@>r >&5JJF>uBTD i![c|I"9 R)L:OC"JjH~*IumFEZj1r}2"D"Q>QPD2Iۡ&WG+I1]П [V(Itq2"`@B[$[⥈AF>wmq:&9A Xأ=R*"`v)7ĄH b:~ib2H%mI6hJ2hFO ,ZOյL oKUpwZDcԠh 1K%Na3K'2RSB+ClLoGQ$aaݴZ1uY Wլ;ƶ/l"*K@Hӊ)% 4Gl*㰩k4ѣ^$i~8 {-DC/LA_GC&K4|*SPHGuwBR zLr)TbJ҂Kl_ BtQK ƅ!|K1(-⠾x/;ڗD3fֆ?ݣ4/~vw}Kf}kݺ˃gHU%] 4*z4Z,J{r|-.IœTu.+`|ٝSPя:_PPSV#€J!W my?l3w=m~zcĽ9RX$'*BJqSDrD>3?S'zg;ڪ<ع!$#v ߦ(H+p$}GUZQh.riQn^!G=$]@)H ց D4 a[gE4 ?蝤ρpI1P'֤m7-:NGʑ0 'qئ$LnQa'%AE8OOQkV? J}XoYTњIMC"Dx4 p}OՈ}K>E:jX$6|E?v4$bU B`1z D/H!=-lRkӵWg6-=[߲|N9PX4hC~k j+ Ma~i*:" "7lykxA@PMgOQ }(2l (lj}oOܤj5n:czv~?ѵ=+Vk?}qEu4ӌn"]ZP=rD ۰q)Ui#q2@qTLjh Ӵ2CduUwtiqXvƴO$w'si()zta"3 i1NTH uqHNH} WR5yyY6yHR羢.N`Q1]"%kvXt#r5]mZE#6hkAw6Ԫ"]|i*HN̗%hn[6-/j!GP#A}=eW_B5NRWތ}(ozzdEl\»%_}<Р$ :ĄϷ"z<WYD? 3m5@6 Ήa;8!]MQ \⺫st-->JN@J9e'pEd4hOEtBTBA L ւ46M D[%W/cL7M3i.cnk*؞۶D#>׽^>j!q@u‰D5EIfW=,Drޔ'}:Bu(ֲMr,{cEU)-2\;Զejܧs~ G@-dK ޵PP9D"&qC.H %ݧ"!SD+̓dtiRDR)Nv7E." ؕ/ +mY'jPVũ(-r#cSƨ"F%F#_3UQA5 -n>ͶJfkB7÷Gŷ/xH55u_Ѫ 6J 0oMzJKl0[hV H^A~;iQf~" ! [$[ KB~m ߵJ{.2v^u1AnR%uA$ KxQhh ؆"RDq`K,ŨdpǶΏw񬢉nkR?l{jďз.Ou8S&4C|(3`,*)eS`E"]uyeO :(GQh $YVCA:l^UxQ{X^JBfZ-۾!dS} M^ȴC֪H^fzվYH TwV*ԭ1qvQbUg)|\Dbgs`FTGo_*JCmS5*]{n-S+ Ba);~;∬ [^դ\$n)@8H mߪ~NH_H%,v{,BZuAG> ؿ'eQCDJ؛( (Jr-)l:,bJhr@ȷH'} ;y_PhMRC{˪ˢb 0Ί .*;:DW}K{vp 4h C[P㴄_ aЌ)c]9w 9S cʈpSϕ6i#.IeD< %xC ^AAe+  @vHQ 5=yRt$s-@a[tQҜ3z V'a\}E8j ~ut3;θ8ocN8ӰQ 1AQ_ ƌbQ&qdPIRE0 j:@K z=ZŴmF= ]S$$CA{ZG9A@i Z"G%}5i۔f}\q7ʐ?KlQHO>G% rPRV Wa?D#9)xݩK)@x·6銶yHE=SO:0iLy&bR%,] k8.'m 9AG8j6pSd[l6CAX61PF% 2/+*";rPi˂>ՑhڷėQ}uCY`*1;YJ:S (Ϲ_*n{m٤1p(OdAJ("DhGH,*'I, 7RTSȆϥ^$Q`Жik6XF}BkRQb)N@m'ؕ%lZduG$&__UlF7i;QcE+j![HنExe %6Uմ4JADSl:#$L T2O$eؤd_\)Vr]GMtk\zF'5pXVqZnkOHkXOfXdz.Dt׵6b4#Lr)dVT_H1Mk<2t*kWI%J5hFiG.jY~׿6Ghڤj:*H+AB_^t"0,j!kYD)+򦭯lz:WjDAu*V9@|k2JOR 9O6u֜ygeihH^54omSF'h>;(1(:s:BbgP[ fD42 ٣ +ҧ-@^u_Q>qհPUٌ}zF$ B)}>8Jzޡ2,Bb89~~HDuA,R6 *I R{_bJQHη!WhWpW5-#SOq*;}m3 ҏ}/tDJvPqk갖4 "*0b%OwZCy~L^6sꤠP4Aat&mVhZY\mR5 ZZ$rzPߛ!U}:-((lB [YT& AyVWѲ;V()Z>e}l_DN<hG.6 `Ů c@[]gȡ:+"V>O$B5coId8hh4BQ[eAjTugΉD #|6hyeAVP IV/q"Ai7ȏϤ1 ;NX}RSѬL$v҆.#On*m?ew7>Q JTк7Ț2)ONRD y@fEBzTgލCtP:r s~΁[*X[WaJ<3644zҸHtHΨ/bvN:S64梻3^npa6GOGyy9C+swGi~37:F}?ӿ"PTGCD;ۥu&*|3ƣN4yS#'iV폧w6j'6l!纪i*?^-mU|lV*=֩G>Dv4li;_ZgZv9j.(麩LôɄnyQ{Ģ\nV-Vx"Y.+N5MOhr 3Xk3D]1R:~;NC>kG@sXw)&~*Z -*UsT"Vv[X7uxN\U5I–*{x8L#R096 C:'ʉ{tJ>hH ̊C|ˢ baP!DX5.j QFzUτ\vG#U]}iN6n/t-=j>՟JӌGZW44jϦSbn`6g{PR fnUˠ= jBC@qP4$k&:; FhC[W.J䄿s6@+?6MDucgr MAz4aAP} >ΌOXgtRm/D<+[ ʈb%+cê?}΍Ρh@=( #t-HhyJr[6/[=]mO"/iڜ׿x'7q!*> ) # )JʢKcH(H\(," EGLP&R UUSn3!n[>}>mJFb<#Ć =ܚK#rla-j[ "Q/~Hemٻi!5:-|C7TGcC0J~îl׫yo}C\Fe D}z\u +x~;Z4~|Ti_r:gGӷ>4F_Pltvnk;Cw:gySָڎ"}~@.B%q]E4c֓!(j3v֔h-1qwզvStv4k9ΉNyֶyW]nOiOpUmUܪQQ#g=#tyTB;QIǃuvcGG)5Y]=m?^ɣwsixDvTT{GW9 DB=BQUZvWB5HojD2(l4Ir&^\Mٗ2 ؠIy8?qȨGt!Ȩ{ǬlMϖ򑎪>OH];{g#_\v"#ߤ=[g4 H(/ԯ r~粍*1|bJFj&CQ3"} aa"ן7R Seۚv<aj~r_ ٩7eߞR q B@v D1H)  X27S#E~K)Qgxzq3D$\{iƠb^f OEq?uLTy|ijWߩܿS $ eeZ1M 1@J b/j 0hs,E@{R%2yD"=tCQ +]y[[;#v8?TJEylӺhv6nEx{jWwq6G*=cN{LҼ\W6={TcojFH< rܿj!ٽviXG?]mT7tʈEGS̻;IL]i3jycCUcpͷbb5ڞ"d= jčLo6J[5]Vv ~-bX7Wd\ddghwZi5xLӦa9߯t*N B q#=վi_h E[=et-3_ϒnGE";+?жOv|n׋NѮ(DKƊB1nCB@5* !!A@@uhn:ӫH,( R!# Z"/|ܬݕ<C9G_X h/ >D2^UJglWТ] 5i(:"9x]W莑qBB1m=?>M8!|l*ʯQG⡧v[غ6VwTv\i uEDT2!=( #D"ʄ?xl;3Li9iP$&K6 *1@DPs0?(O*҄V!6/2BbcR)  MS% bV5m bh ^P]A Oy{I Z]QJ־ !s5|[d󡰏*) +zVx=٫4Vϵvj \m[;GУ}J;E: |KS~3\#]R z}8<*"!O|7߶_2@"b ()NCx"ȥB;: N(AgkF DK fTDaЖs 8ZC ?W‚Ҡ3 1ݮ*^2D$ⳁ]]GӒ<]GP>@^rqo(:sp3!\֙XkNץ"" @!=(ncD'Be^U[|~Ru~2xDnUGzˠ.+;$բAF#q 3wGoi\tF_8omRdaP'm[%(.,z @  2 |‚UPR)@ * 2hB9Gv'$ "O(iiQ46j|*Շq%fB#Ta ;+ gD/TzuzWgsqGdvtz')Б/͢҉OP1k* B39B\ZtB"UiBS4@SQq@M_v_:!@\D5L(/Kc@hAB>. ˄,bc[4*̈rC]Fp\ǙYDy5H^GGR+馹|o+ b Ye-[7.<9N`GqmjH)T/Mc[TDeV$UlSŅCFD{˃v2JK\.Iu] k,xIGVԟwrH1UBduE$˓ F wd%A4١hAgeM:k5iu 1GN Wq{V`uWlCHy'vn4v6hyG;[bfۤ a6m{>{4ϔ""#l.bE,"IbA2,p(DQ*"::m ̴(š  8l;=dQOR%DAC0(ч|hԛ-)PH )mqgPW֝x#?1}۴}w|DyCB2$asY %kO]0(=\WZ!(/`ȔO߫؉[%o +H"1mM:RVA]P"+*VO,5rFDf"#*?^Au'nnC#?85ȉNQD H-cWЏJzi{l׿ fzj1IyiZq\N'E~"9]* ⏠xWGdB9# R[@b%rWnGk`ѸJ9 @gfmҷyF-32שׂZb()jܱ$hKR1BpGe @RH*j -}D=r6Nj6[:SS,vv5'*. ΀G>w3/B!dҤa<,6Hؠ9zuJW!\PA&AM[t}ݡ;RԫgUoGvq:HD!)~'Ȕz| R|()!#^ӄePK n?|D' |BȰ!BBkPI:A* E73<ʺ-[jS>UAz a#eM4ȱ&1>tjN(K(.cN$45FY y_ESWVA?$Rԧ5BYY E0(n5>ݜwk8 9G"ܹ?t[`AaVKmur|i'손ll YT}oPt6UJZFՈDMCDw(GSD4 ID0,x\qR9) 5mBq\%oJ<+%'7GC#ʝ98Rv1A[Аg߽Ӡ*:FW@ي=T Be1"0?NRu )KthE}f'q?6fQAG P_JĄ~ PR_BTMb7N#8zO>k}&%k7n"%!sՑ©5KRʢo Қ'& 5fCt J$)5 J ޫ/Sx8p I)3dOg}]W,Ji%e)z"ǥWt2ZE9U?A nU˜>μ:KQR"A@@qM,,#J`R#~[qoCl9 [Z0Ȯ $?R! C@d5wd 3+25xLDq" QҔ:H'ߧLRIJpHoABKP$ϼ}>^%]Yfj⊳ґ!#D'Eqe}C$W}OV׹ƍUU<)z( pBoSv 'D3BPjagA`םzFRfءL GBaH(Y{J!@b(TMN8Â\aSeЗ/ _BJ"-c˸gx'f{>]=%hHSrڧ9TpvuXrtۮ *^!ACM4sLЗBs] Wшvg-1i]SIR";!IsY׆ӿԅx@kW:} 2I:Js†}A% !:XRQ($wГ!ft6»/*:OH:*!m@R։l D IkNF=j^5$ rL7I(שE2fHHmB/+zOZRHM,~z\DTK A}(aD#eh$+[DĩM!ZC') !MzICAjBtVb8ik`%O͊NH8\b3J#(jZ|j)j@gX.qW7‚kU9D#B~)kڜ/H5AW%H/* /-utti`E i@S&E"yܤT[H+D{t[JԀc$Y~siqo/#:CL]E{5m4Opsb)z'/s aQK^^tv҄ h꿾 !Agָ>jt#ąrp pЗ&u,sc#̊5%@Kޤ }I8'n|!_q"%mLRYF˛C$c"aLc`xXn_#Qas5hZ3f͛+w#mr[땛~6Y G:(.onNE\ `Ei;D\ok '">BCS($|hW[pX5ãWZ4}#JeYPU$p;cV)[JV&bhC8J괱29@f^C~hnL0C|Ž$bP}#RU]c- 1N:l7چ9`)%sִdTIIC} M7Bh&1(I)R۵_ & ?[XnFrZ@ٶf"A}bSR)ğ 2>w%OoE8(pTQnT'uoUTb"%=>Q|Mc6ABE%GUg2"q=?E3]t[XG65fw(ǿƹ"bPQ~JDx"OZ]i=KJ۔}++lާI":RƩm SJA~(7ω #BTi NGԩlr:9BK鿷HWm`IэQٴXD(@n U7UYo}j%WMG}N$tB^$} Z)}KZ=XE)$IbNk x@DC, IӦH}3$z,;9 ..[$N %ojWESl'"^#R%}.fiѯňm1Zztr8$ @^PPO:AWWB9ﴈ}YsG_צ℥3p]'(vE@ ݲE0J,m;K1~LH5 CWw,1V@vܮ3ATG}^N% 8q@ TI|mPS1Fh`or+7B~$hV1M "j!3JLʈШnJcj>u=&E>-h ' .sWԐvQ1 FH$蕍8H_䛾7%[]7GR~ʲ Lٴ|j^&pRWT^h7UjP}KZ#B>rZ9z #&gZVyIH:ͭgDmm=Q坷Vyc"^P䣯}Um "G]G(Ǡ~1K7J7:YEv{Ҕl4t0a0-\[DYٗ )<m 0L ~(e|ݠPS4 Z ʆ6oR5â>5(-{o ʱ((l̏>EAX]ȎΚ .Bp6H)]UATV$[`/`{34,-F nMĭ不wT.\ȦH\ݦ䍧|s.P^ʢ<(:-n}+z,BLͧ"V_Sx1KTcxƩbg̾?G˾>7V~f=)k"+j¥@HƑ֝I]kGp~d>ʼn9^i8ok4f47oKUءF޻nԜ>̶B [v^wnwRY[ED!Ƭ27?E: :!>e IDh *H˪/bG/u!尊[_-UMJ(b5$vԹh2x[$Rz-2#[5YԺۢM_#rtY}ORv~ĦqH4&o2!}S">55;i=fG5 T&r⾖Uq-$ݶj2 -iR%O#бlQi* \T7))^uN R{o H ciP.!ryɑB8!SIEtf ٨DDJ< ) u57j)8K⠹oVut$HSY_낧8!nJP.\_FuAVߒ I(3EԆHLvL2Xg9Px#Ѯ˂̘%oJ4X9-z&+ڷMz||n$).sGk$;+r->}JKeҦE@q6Cϫh*IwNd s_J:rcNOuD4M,?ﶟb_d^=6O"?ԙ6Jk3@}+30Kq_nD6:i2lѾHb!Gd%aZi$` n몬B?IL4c>JD (iX}+Cx^bf}8lʆ/Ij؏d)xUn{"aA@.CLH3c^6H'O*H=)FɌ~+!=\=aGW^4bz-z:z!n!1W֑$ yg1}ZW_ [(*~#ȴM~ *FZ$R3f4]eURny^)wi=歕bZrlD5+R!JxraKĀ4]$fn׆UčrK"gҥk.G"{V%t[]pܥ%Hb]t%*gQxqdW5Q'ʕ$)%pu7* ЕGӖx[ōa&lwvTtJY#ŠRQV%mRw"@ b%-sZ1̲Fyd6mrcs{ =k8V&5m[CࠤH5sZdDʗmSu)rX'0J'ƒ+n*b5*>Zw"|׹^e S,}/OuI㬉#h23DE!Ahqfת+AvObس*l k+uaejV5-l*Ϋ&8>ef.+Կ>QZ }M-V'-Pj>]QORUfSgSlՑYz݅8ɿ%{kJ7ωdNy"V߂>&I B1,J@٬jZ@-/nR5!$n*IҤM[daFQrKR6q}hyҶ'L%j-Fj)ua)3<*i3bՖOR%!j L2>JBhR-zTFTH9 8[P\d_XV7- I&aJc0%**N4.29)I>S3+ha@u;MY1 fdKl{]5=%An׺8HުH/y"G]71TDh2/(kRE-HgzOQsc[Ƚ[ FL"c !G!YRyb܅ l]`ԍ-wPdA_:kniJ#jxYIi*~!O *0"StCe Ja^-dɓ,~ FpKZ'ۓ]TNPm2)JP[J քԼQLDu{O"1T?ZSȀzt#eKouGX,ˆJU~l=*k*J3&ZרH%cf_t6sF .}npai  J}B1 tw-^]EqMOPf(d`SJP[ bUGWR4*ύu__0}5XE~]fP|!>}tVtAV0+|+ȶ.btƼbf') Ȁ},ŽΣ,onSԝ8PID:D$kZpڪ"^vM_\;nfen9M{פ *y(D?R$b>âؗ!+ hȠƶmnuM@a]&Rʐ7hU@_'ꆤ)ȆG3rƊ|SimkLH=IE/mZTYɗ~k@JH-z)2}/2:q Vؤ 3fȷ "+,]D/sjjR΀ζk3/ImU$͇~2_PNRh.kj6:ztZm>//% qED,;"rka^Py~Q`, DsF"wtW40+䫿W]krn$r9p> q =,2Σ# %[Q'I|OX&ٻLdfߪJ? V}tӆ|rB`2kf_(+ƙ9I!UH뀼-YST[cDnDq#jHW&~BRViYOYe3 *z1i|#& '+*ZBl"9mE'KN$hQE#4F &]9o[Z7cW孿Fr)R6uVRYlQIR!dL@":Ibֈbw3Ε8iB;<()C컨9uF5]ߪΚ9 VpD ZG3Iy :R8 JFO_)2'TSH zgA|hj%DhJ#su %"|fPwܳ*Ĭj1@RδԵD0JT[uPR4o)j`Q TB}&γ`-̛HaJqI[tŐXZ'wȃ~J ;SGMR9,r)!văkg5iUSu4j.ۖ۴c4~S\Ꞃ<1“RulK?VV5ՏPXBJJH%WTr6+r;/}D$)Ӟ :p)#N?w4F2Xݷ⯨jH#G~Z~ip\_k#]CtS%p@5iHȗ}Xs,V1*&yHLɱ2?EȜgef5rY"H+ s5I | L\6`%YXuZ췏j>-)#lшH Cj>v#wmG ;i"w4YvhfؓB 4t4c߾Eo\kflߜ^4iZ)1+mS@Z,.j*BCdϿ&먏Etb{Ml-pPu9Wlߚ֬?gNVV\dV}WR׿weq0MIkYWA_^[E|{1 y]uN!eTXoF}XU!.K"d~L9e^ PQ*zY#|6뤜qCpՉ/'̢I:?tJyWw"ʻL#ޠJlG9쥯Js֯㣖)5,Bȯ1h^o+/Twդ93c[BͫN.T7{ H: +XJW䶶{,oqDG_R<*=2TMFSlZGr*ڎ.$2 /"Vv+BL[rޢ+I[ 'T_˚zД#<dS7-vVS=I t_Zl+0ݵm+I$h+*lE- d) ԣV?gdDr q[GE3}N<)Q%~>FpSJsS͒|viYeU0U T؞{< .QBLfYN'QQ)5jkT㹫Hק OI;)x36oKH Jw5mª R1^3){٬ 3[bnR"@KYrx5%Rs7jI@T6VRVޅWcQEeme-qK^[7e,iKpcm5 NWE}ȇK\[ZDʵkS@Hܧ7 -pGUJ6qnVM|̛y$dr֢p%i H^֮ z5(1[I V45q$mG nʽ' &›vLY5U})kbYNUI *IRtb1L3l'MJѳ<}ˣ3+"-Rmڧ#R$4-^?eou`TuJUkتj-qν%!ulա$xShVt!D$kbfr=dQHAp k~mt]6ns{<_̬bt}@i !S'}vە gѩ]uK"-3N&ANvY@J@&X>OJ!&-&Q}V5PiZV \+þ&af uo:0->PVsp/PHFA|L]{|*I^?e$DZ\-;GZtȳ7ɑCRUhٶsQK;k0(5ͪeJƨNDZ|D6u9rD1 #uW[AJz 3H Wy>īI*%O,@׿:3dZӼz['OΛoM6ؖ^O^L2E@)@`!sT.kѨ듊1סB(ĥ9@bŝ`#\}{LevF2Wf}Gư(ѦchU0 }D7Z^'ޢnGཌྷn1ZMԷ 8)WcqZ7O4$Ha]Z_u1}zw}}sq-Sq]!54NF///53t 8s>%,Ӡ4F 7N &Ÿ{)8p%tN)ˬ~EF>E fq3:"q(M/qK}jr*!>M?$jTv#ϱT#ɛ{sk%HV]c_hAyX6AZ>5uāTOW "~rz頑 td95"OeQ,+D0j#(Bɺ,0> 7ڄTuJyEK\/J0}Y3FYs1x4>h@Vwlˀ {L'ttyW6+)LB0᠒u!9L"-b%}+ JVuf/{ԓl(J8ԾJP5 j,cd$Ssu&]ߪP]ӷٵ2hi~2 w}}n̋B[UD%1zV|~h|9@ 7~ד3Q^QM'xgVl&qT'Q]WYJ P?4u T$ N_b۾Jf7HCdLB!BM>G,hEvLtBkqsjU1DGV!-R6()jARݕ TNQD YX5I,F 1jHK:*`Vt"ZN%@{}b3F譮Bp>\VgXߢ +E&0{>7=eqc> \P#g?E!yTG6KƏ?7Yԑ&J7Uvz1ʈM VP $)';"뮺^JP)]pv3-nUsYV>\e|Lc0l[y WPy_Q fX:^-xg"d7/m 'H_%k֌,c~0X/S-8h ꂟLS!6̊L. +|; X! ,(hfUְʃ6QQzq֦!s}dp/k:1(]AjܿMgPPbZ{SʷJVūh5 2zY x~(a;u3j7Z5]bQ3+R*:ʫi+LETRnTi$8%5lR9AqUaJ,u&A9VeҞ5oT8Ab9G ->e-D6::vcR%vԭP|LR?GURxߴ."T>?Hюޡ0K!YmDшWmn^fmMr)jWԲ/$㻍4䠟Rhm~-IJ5I#K_ZAeI*!gtP=lW<* Z1\?y46,fݠ6q<"jQemfGAHxj꯽msxuEz (rRLFQ l5ZhJѣ5UVS5Hʝ6({+ R`TT,KLB`(O͇bYרJG[U]LE\wDAlel4}z:d* nBt^5RR4u\5CYׅCebEGo$h~HRvHu+JR; sȤJؚ5Ib,<3"1J4OݥBgVUWqE%KL{Vj3n렙Ջb^^~D+ +P̨ lj.MޒIC>{NDQ1K"fY|?i_+vE[H֧6ҳ͢$JtJ@R[D)\בJW൭cX&2<ynjU78p_r(܎hnd۱NN҂ݽΔ:J<-Gb}mm4[ID ;, KLpō0ODK]6IUF5\Q b=_zB pKM_P.KLe$/zaSl$%oR~oFcR=9for|I/FO) A~w^ ֱ#VdC$@HC뤯g!OGt+~' U׺2*ïL3OKU+{h_Z)I<\ dAR߳X@i5eeiXj//'SɂH5TTU9_DLJ!mceMsZwR!aIYDb%%D5)#)Ȣ oGtis$m۵{!o_*R'iJL#%$E:>FmIgАrl(Ҳ..j#\G%kՔկNپ͢a߂) )Q$BH+iXWaOFʊR>QgCGWS,m"hZt6NuI]4c̲)#(ҷH,@vèuBX9B&a Z:i٬h'hh L bkWw3i򎐼`]^W3ҝ0R$o7_p+>Y6zߋlѦKҩ+,D:UTZ NzFڮ RfШNm&1LfIny1VzUZcl|J_ :NےoU%`@+=O^БJ*v>Fa\oAga|{)Gϑ@=oUdR"J5NȾ$-΀%-@=iZ%X}ľtG/ ~|*&zĉd'4%.qčච >RLD5 ^rptZtNִijH8S gޑ0ZЯMVᭈ fYaDJ/ȚÚo&_NPEI(IoGT"ҔalG8mƳ=.ʐ.m`&/N ȷ2R "bUUkeY}Z."#ގ[u"awƑ24k1?5 @ohX{HYAVՙIh-8iX$?kX-¾9-ztYUX$5AhX| ܪf GufI3h>Jl=ow5ig7;y_Kd\٪aD$/uFޝA샔͢N9j"--[%kLrJ#Kv׭/*Z%LSI"JuR 4O-ZI ̤/8.b8{m$K*{NļZRTel{>qb }J~ӗMo. Ι:o*J9 ʼ-KLx%Aki}ȇʚto>wi>%mP )Mftk\Uf)o8Wr6x5iY}٬+Ie$!C! Q5E`03/6/3E>=-ڬk91Q1VIUw!Y䵍T e} *#2Ir+J" ߰jVA P8hJZ%+j/4$ 6O#I_S66׹zP+-z:]ԕcu~8w?GD;"Y)uWfE8NQ{`ǥ~|K [\Dd 4ab$Uۂ/KSPI3mBԆ=?OS"f)qh`v4%zz]&k\Ɓ2Bpڕ#>ǢWw̫T))3p^ԕb3Ar/NR9!.2hqbgֺ {Τ:pm[V!~icĸOR->I:-XXd}aR(zz=+ L+͚TҢ(RiSܶ)+zU8hPdi V٠zx#KF4 Y`@%hߒ}\eHS~f[0[E5*VV% dX_֑HFg$CG]5y%j"ٺ4MkUcVfVRn]7!ưLRR-ip.qM*xվW̘4&YBwԕEZyFQ-VvT"v53@ϲl{F>ٛYS<#̚2I{gha,Gk"b3 Fjؖ i6LRNDԅYpW쳎e۬ÆhUG򸿗ۥKs"?7>ClԵ./tSkOCA2(JާK>8J=RC{By`k4yLW$vY5wI;7 O֡?%aחJSġ+¸YKBj-%[:S0k:tUR۝Xť%o^SyxP4n>-bXn.enZG%oY%+RtJIJ*nd&G1^6=CTI[ꬤ 4 ЌQH}/}SH+.lekj'|gqAY[_h _-k/'@q5#qP\5U >IWH"yD˃fغSb]R TaȠIiHh Yv8hdz!$~dduGŖQKI:"겉SS|ϡ**@>6;s͑EuOOH$S^ׁFyty6MRѴ)]ܦe|n(4$ܨRuivlNm_|* ~6L>4G\mky!Fn =DĤON} JJR-o"ljzVymY.ʃeUX|N#SQEjtf'֐Ubλ^N;/Ӹ<ŁePi;ߥ;iY\3-t)Β)ā,Dm<{ͳ% :J(Ȗ]]ݢȫ=Nʈ0ʠ,²/sʹJ-l4}6E&R 9| "\V Zw4h,Sm!H_2-r%~ #JZ3kʶ(S*mD="N[A3OSu__ȫ_vqIP֭}J[QmJͥmR/IRc(DѷBQkβ}n\$)ZӳnC |P Z$ ȼkX9q"$Bܜ4Ds ꌴ(`*1D;"FLkb-6"Mf`g/ׯ^9jי)~/תwYjq6p3t>& 1F:d$PM TݴQG=+^ߺO 3ZسIZcģnŽðu;0X < \XҒc_Hw ; 9PWw.d-Bs_"rQbt#PrJRj4:Ŷ ,1H UAh69SF* TWWgD QvSAdИD'`^uACTئh4Mu"~)k`!SFa,K؅l2> XCPPTxA{4>Aqޗ5J[J$Jԃ61ꮸ*oHGWռZEaf60,ğ+t+)2ۥ9?dVgeHvUPBhOm\f=~˘-ȅlֳֶ%p4,k_DV☠l~ZVe}]0SC?4KO_Vm?e:|S&=9U]Ч n%G[I e\Q( ;kJ֭JX5b,IzdmѽuA2b} T/JI~.J-sMdD?7.J+j"ѻj: 8H Ӫܠ0 { 7&o5f[5LR5=4t[D&To%^Suur޾)ޠqcPfRy:ӬD)c_!:.F!G/H)B'œ(Mn))|5cՄf}(F*j̙4Y/ BM,. n:! d5¬48n28,[!SQ̓L ^qY}Ѻk[\ԇ0srư,buJL45AV_J%*E}OMCG\mibzB?[%tGdZ:([jvPYוzfҖYD6y+i6 Zvj%(` v5܎Ge "aaI9"r>eIPSv kvZVI] Unc՛L^6cfs򀐰pt$!/"#G'A_$DC[Q|hN52[]xfERT}+}GbKʥ 50ʻ)J"(@RB dͼIpNOB56P$nSpmE5OBhU GK}vR5]FbE4I4 S~d7!á0(GHkC_':,mR>Z kth>Ba&TCnnGLgC&hS|7Խ @#^Duxz@VTێI2JL/k  bN#dvXUWe(oMe_>8PbJ i lTAj5e Vz<1j}amL)ikPS$u zD5(*sZAѰ$ xGfHӄH\|"G܂H(+}-D0ݮZ<(k[@"Ru~ Cg\%U [k JQ >'h+},6m+pIՇO}B%y]yXd{ #2F@ rWy93^"6C4E1Җ-#xŦN̎TrӗۅAgKN\R0bj%SQ&iNҤ sJݵ}xT\aqWY`ԖMv $g^z$@i&mQKt7Ҩ&kh%}x;Ts(7Ic[E] d?bݯu[شyI)'D?ͧHoabA5J^8%@6+\$"սa&e;ɦpؠ#ɊܞM!DL /hKtᨈkh9oGR2-LP"vN=fPRE$㓷ꦎR:Gʳ*;hY+ „J>7\z^v1/̓_%RJ :+<'OE 8R &ӽNV7r3"YWRRAaPז5)i#Kرdaq^~=ZOny}lٳ&,f?77:oL-,&W-"kj2I?Mk҄S2!E]%TgioOJ%Ҍ!2)_zP%r Ѱjb|n/qqβ>&!#OMZΘ J1kPVwPSD:h ZHۿv x@[UŬ jFeYR]&$~JԄj k[z\- h/2(ٸ z|bZY 1@_[[;*3N/L" 3гm!@>5UK¼YSX~l-juCt_K5'2'ؑ*H[7hZ4oj]DB\.2 :6oU˩->F9(Ve]hh*tZpHFysOU]Va$O5}YJة$nZoj2!2>61QZY5T D򠢑mnʛ_iLp#LjF-Mヌ[NSUMycXُdyFUP$nY-d z)h9i總HVjLzP>&͍[9ʫP"^51%Hun^a F8NwioU %xUAMܵ+o$u!@LQd^WHԗEjS)Byc\%;2$i!ӥJ]&))2/ HƑ]ee"Z=F9*BX:q\7YElpUW=i8۵F\_P2܄ $X˓D{z-Suas|f_RtLt AXD$hWڽ4K>?q2IgdՙuY*D)ͪ!{ܡ+P7eeۼԭDNƥ^JAMe>~ꤻ'Bz\GC(MQHqI~ ;ϽIRC|u M(N}w_vF)Z?%=h 38kkxПʨcvY4}|_©$)thUH1u6D./qS`3KrBoFST\hRK!cp:O#ui-1U6Wj21>5bCV_ 7IfLh-;^22j2Cyܦ| '˪%/kJ>@@yZ}˺#j 1lXHZ92(){6A_Q_%D?D!̪ Dκ$WZum~hp+b:tl&XJX.|D͠AF$j[7ܢtJE/s ;}J%ReƵt[4W~.ˆ J!8ry@J^%)CW>COP_J))mRgˮ: >\S5bV޴R#׮o}JVcs}KX0渞1LY*[/zGaY6j7oKr_+*1?JeAqtRv_3-r, H㮬Б*2zkYf}4R9)&5i dE  Ͼ6QJ('1AbPGr"Q{5mgG}Z{">G}) r$.˚oLSFKg..gۤaqVֵ~ vZE,$"K;zKTd]g迶*֒'ra¤`I,UUUUvPL`BDzymü\gv;HQ{ }O)JFEBP7JSxD_#uT0TW+ J8D ظ9*1agEIO>|hI;A^\Wܽ'i"aڡ /AXOَtk#ʌ:-:F(饎گ=N')JDu@Ae2{P,Jz(X3/}GQv&h ږ"t'վw ]Gèԅ[\D4 ̠P(2>Eq%QG&H rƵ r;J؎Աҧ>ԅ/|ӶIR- LAAEJuT t=cbB^[/kJصMHi@Kէ & Q^Fw\jJS3⊮Ȗ*]ai[Պ#t)uܭY(ɺij9KҦmbH¼ z%3XVh`W$bVѲl{kP4Jl(|κf޿Au'ީ5*]>gΫ'z4 zTR$G9ѮL`,*-eI6wwWЖKa&!*]0aU c>' xT- ix$ݼO55XЋsT`'ҖԉZ$1YePZI-BE"} d~o&~)cX1fqH*%wvVar¶#^'SJ$I$5 1ȇ揵Ozd$CN[,h2.~h*,IJ*#LT$75vߢ()eTQ? 1 2Z5RAJV@L/[Ek> Kn GkZZr"QfENRQ  9#^+b&ae:o_R4*+!4r,Mdcү"M(LcC`g}ZJ)A{] ",*!RKHD:rź.Ά}f !nʮ>WFT DZd}kq^1tٖ3lo3ڎHDXU4|).9 JJ`!>==GWa1|ö#) #Z|EeBDEh@8/KZx=&^tjuwyޠ/ z̭fѩ HIT-R)AAH١ 3dd%)$ =UfjUUix7iCwfTyil^-cJW,N!0n++:ӤFXDKRQJC,+){̏kxRyb]>ELA_6-uȵIt21@t"Q"EjccYu`|*1h}>ϕ CNҶYk!aRH؀<-#X5Q͠-{^0"P>=y-j$ѫgW7]4 Хid)oW5a} JJ5SX)QxZUSJ*241QENdvs&? )JGhHoeެsfr6kWGYy^ i֞7/Bv_ҿvv,s_ ؿ3E..GﺮVG'4GqouuE0itŪ)"λ# ?ty~n;>Ͳ,/u"D7)KƵ=P\L汲UإfG؆Mjjf)Fsk;}ƨPwLWw~Ns?qgQ*HU[Ԑ)HCwf9M_+β+5McIQvmz2*;|[}JGn4K/ЭoZ :R+۪ƧMR"VԩB>*U!D^K"IkR?T^z⳨O}qhoSJ.ȯ5heL">.nBZj ('OD?dOuV$4t 7ߴ3>QHiNR5HQOFMc–(B"kAD#D1P'QèyQ ZQ̲)J.+FJQ-Z&iH)*e2!?@B-iJŦq j aCp+Z:P[17f"Ys'Hl"%ꠠG=sV=a/rtuGWԉAm`@i$Ԏ疄݆{3 1ɪ:Lr0rĉ=y&RN[щ+$4Zj,KQK9;۽}=E$duSVaS\=u`LVGQdk qJexA$OoBJ:B0Ӵ* S#?E@RuK[ DQueWԤzS v\$A!7j2Z>fuAhRwOdW5OҦ @2%]I7YIAU[(IpSguuqT}g\Y/d%AVuD}(R&n= 4H\ew;516,u$%öZdU^Qҕ96cQ4xwDj;ȴo!mG}ׄJٷUM$j@3KRXLЧ΢)#΂E5eQI9k!=PP3~/52^ uJfEaHshkX8D~cDũ( #6:/MSH2J8 NwTu!MܥIOWZ%5IVESn4+@aQeTyQY(h>w:MeERp\}vXlFz75ڈJ<9h!9'+B#}êTժzL4%V6N4ʢ)SF Q캶T #վ-!`W!{!1I#).H.S+9YD5Clۆkf&wޕ1jZ!IK۽Qk$ajdJCw%i+.,rr,L[˨NwUL F@Z eLuDF1"5=.KS4$okĮWֱ?Nߣ(+ͅxìӪ-$o[gӠrZ=z? H^$}a4.FݻD㾥)xUA]SƵ>5=-fuJ}ZRlgaL_4}5p&Qۗ%auXTihO7m:As-[QUIo[6.sĠj^%M{_KqT3k겸MkL))"T-5RZc<*!>y87ɋdK눒DTi_: HQK"w=g]4G5BrѨzۻOHSt$Tրڱj%#`5h"硟P]}F b- M_Pk„߿g֌G/m>yQ%%&lk"Q!?TZhԉ%BצonifU%#H}+L1@_ nmD7MF>M)| Z&^D3XO UaxwF*B%'kMSB'ƃdT}ZY6YQp#WMaDMJr@?ŝNr2Z-ڭNȂ*%%pT47 CK_N.S_pGERb94[敯b=,*CMDtM7껏7#dyTIFD:z^#:ނͣX7 mPQBŢ쮌 5C(vEqj 0h5)j"z/Ij5n3>uU|[r_FkvoACHӒuQ)+ 1K;IPޅ 8w6!S'5Ax!EƕG宅Z>'{ϩTV"7Lg}K>ԥH뎋$!?ױE>9{gj<Q4gbY"J$l(=JJ+$8*l T4"9z9&hvOSp(h 9%JOE+kڵM/RW, H$/6@p:JߢfA=IPT 0"ry?CTmƼ<"^ "Vőn !#QE񐞄iF& l9KҌ|jH*|D=]Cwu E-! :Zbv̂)Jg'=& 䰨)ܧʌ$`QzB CT! `2~*{ff 9;nf'UT=H~)iB({ƹcTA99 oS奯aiA|Mb @Rw56ggVJfirݗUdSizIwsYEAXU^~;z-Hv- cvݿFyimd7kG=r)Sh({i߫;DRYvBh^-r3&nV2_Y&nP!< mhP`Ԙ]{I 0]V| KN( Sԅ.H'u@i҂5-|F*j | AO>&aKQQk}3&쥨#<;ʃ^TZ: :ok>DƋ{3"ZwxQB N+2 *-TTpg[V~o1j̑SB"=M@Bx #Y]6%0H_ \hJ>{UdS@d^$:CUxԆ}E}j!J@|JCCKPi;ԔFV .{ h9mt N &b)J&YA{ DYQ9HV~Hҫ)n>E>(>ԁ*T6aJ%g(2"$(yd#G &X 1v֤F=Ա"v߳%b ktsj>$&=R7۞J5uQzᯫz[v?!xl) 4ϥBOQ+ 2ncH3˼"ed ;L{Se5`4tsZ5I\6(YE"9gP;+bщr⒨lFV:>}H j%`Z*wR"nɓ.MDž0кdb*fiea'XiZl!>Gծ@oT}.L }LW$[^_`̲5Ҝbb`#! 0CUC;p[~.sԹknpÆ۷lٍBh7ԩ:TK LАۆiACZHG"XypN4cX>iBq3,#;PZ4*;- CEpu"HDBfS5^RuVۧ1rh(l9Ai_ ; :3O%U#54eVFF{<к}):7j׮ ݦEJf',+\ZT65KE~nR.ʣ| z][fQI+3ڱ&TQ\!/vXkB). |>%e|K[S$)WelV5/e^dofuKkXɣVO(fC&{?"^Sm^_ߒ%Z(lnIb:C@(|n.5; 4B躈aq"h_3|{;&}IB $3;eQT ̺D^&uK.!N @/0U]+&N#4~ >\-}VEiQAUǙV9@Ot`W4} /H$:OzguBF'-4EHiJ ީ(!(+֏t.G(>,d*D=1ʉ{HH j(HxI|F#-OQ)zUw(kRtC[9 ()iˢ( 8ԣr J ~ɫLR=i]L4y{2j4J1JRKv]l:pu]kj7ͦksQtqr7D$Qh՗fшyzAuU+M) 6jg|i3ɰI$"?J/eW}j%uKQ jߠɛKTUYTo/AK])", [Is]*fl$oir-lk""/Cp\$B>eHT&]@G3zٱϙ~ȷm`%-fFRv_&jrU+(h]Tku= T1[J12NɷV$Ѻ*ILPY慘zcyYERڐua}SX]vio5@gk0⢖6mVƹ w}fݥIk5ejRյ1JU5~Rjb:Lgu=eANtCCb^➆ );",HEi]-tS2D%h S QXt5WtB|†nE$l%5-ZƂͳG =(dp_Ҕ=5sZt޷)#3jX*PJB-jߊŕIrjx)*v/Hd)jsVTF:(x0x8k&k!#ߢj oRbQ(1oA8NSLD+L #~L t.K* 5.@s.+1T _@G/ ;BGaR^ظJC3 3;! k?bA|M]kOHvF9hE"ŮEhtz$CVA(#B( :N1`V-J(/Za#ArĠ52&(>b-`sׄ&M#(̑!̰*t1 oG.A0LI"@G2i pHd}G^z%[͸HMx tDpt x#ȔE(-Z cMF΂Pt CcgH+,V u$H,2t$+kt75ZQHMPMJE*Clv[ƑWo 5 +:!GFhx5huAy$uGԊoym4ەn}/^k[m3^W.WY$7"L10v}o2 Ű V b'!5IQAs_@ll:@_UdlqW7☏ͺ̞&o%Gij^H_Rr aw%ygErW$rbְr!;(j24ꦾ #nפzlrV_|hҔ});d" ̂ 6 RL 4( j<7EQ]'Iشu9ȄRc\4oMIS0(&\5UD,j :BgyzW.z(3#xRdDސȪ @ѯx~,kflX0UX/]63OW u)Ffl3MJ 1/e~ ?W[a_H%ĺ :.JȣRGEyD͆D- TCԓ ( 2<.GP*u'kr9)cpЪHhA$ n8cn4iQXB~lj!gZqSLQ$INEA)#,ovHu_B(,FפAB{4~-SV̧;͐~;ȳIVu <f" @Pt_R!S"NǨn>q[ yZ pV'w1(Ĵl:~ `=6uQ%vQ!*h+L"h .ꂮ˿IU=˪j%NһdT'i&{tle,˛Dj[IMV&otݿE|J2><X뺉mļ/V᭚㴭|z8OcFϬ ޵"EIqh]WݪIntY]]$bKWiaM_Od-WG^nUD$e߫b[՘d֗qKYTgGEUhZ+0J9}/Z>6JZ!((a$h)[9 gԅƦRvҐ"ö'lCBG$TVT4[(W1lfme2 ~hRލPQ])1Nbj7q?qݵN ⌎3lҡ=N 7 +4)?d_C[PLBPLkDI t EMBG"Qɂ 9DLVacDHL$uPsS5ܶcO )I|+d-ŤOq;L͗"B"vQq >T"$-编,ȧѬD @cRVbؗi_1 Zg^ :@Lzo-Yh̚!_"ࢨBHlR@K4JAt#fV(f'ފucԜBк }"3?mOGNNvtζ^]^qp֡nTR>#҉v]!,Irhq@r(,wՄJ`څ%D1h A[_J/QV%?H$u۽6q^i6WGd;X?#bj5L″YE\[dC^L6 +E22j(m%L/DžWXV ӣY}>Q}?W)HR!:i 7Њ& !Z8m5w@ze-~ſW⦋Cɪ|~ﭔraMw1E SJ+/-:!/MZ8:f%ޔ}) Ԣ3:2J[l!@O`BJ ނoLDѐ~®!fz8Nl% 2-;3"%I#?on}Z/Jb!JR ׄ2ꖮO+l -ρF) ԒT5(T @I˖_"[/}H * HT?(͢hrƷ,;DD3."b. B:ϵD<밌T $-b t1R[7 :)LZ:j Nw}‰.àY]kz>Զ;>&%P[wdtsuYAHL7eF+G,H r+HHeyw9ax$ٻFIXYgQE5]M۵#fT]EqRAYDS %D.jZ:˸H.9 UvMILRtRz4yD?tJ PJ+6 1|r02 ɠ;m0yShԉD@HDC$N$¦j#zATr 9(jCz"_D9!6( j )qq=4dk;3ŻB%jCH]ħ;N(nBOyQVZe @M[ Քu"2}i2 dʣ0<2=4 [a, <5:)xYedD!D%iAM( ZUME/9BP=_ |W'>#U^]$QTąDMg^#sf^-8X=%rLQn"/׶ܲXM6&#}qeW6`Gjh[%g64Xdd'FkPOX6=($yA}TGAE , s{0!u|S2¨H܀/`Ŭ,2HnގjF@G/OA`ť7E3Κ i@1: D&qHt@otW_"<rD,Nޞ-+?ǽCQ}Z|4~ڻSwBʭz4S2R h "eoҤQLVWүwҦ!(?3@G=̳2$ȶYXlϕ'A{b yI NПZ3i:&:)!&l:R/v|a(H~?|Es#DcXd_jzHu?NFR3lNlٳf..j޴b|\ޤ5nB/-ʪB((Be2H@!% 59Jp 2s8Bq~sg>t}OC¡[F#^d 3h(qwAn44ISD4cwT%JXjb#' nHۯZ"nE(iR̀ }+B nևubD#⸂%$rJˌ ` uPɂgoM{eنlٔCso;+nH_O(,?4;yS=xTeIC>'cPR2WQ*涊H`ChCgX$o{+ N=h%|"tڽgOF?R/Co脩(H}*J) עr+,dj NUݤG,Jˡ5cfRԑp֖Πa_Α]5'npY`&E:N,Jt_ZX̾5.e7Yn{\mso(P\/Hv e7`ZYg=H cJ+}ODZB]Ju"ڽLzyuRZZ0)ID?D!SJSU ;i.C7jӄ}jc"r>J!fOg ju+y߂Ά@Nh*SݡX1HNRA@}|' 4[GABF1B\-qJE I\TDSD:( bGt(̳:.x4uFg[W֋BnH7 W%ewa{|{'mCz^ƅ dGQ-(̡(/n!RkgT:# ֛"xrJwWtV% z" 9@J\\kAJPptbN]\(]~(C8Uunȥ$PE-( Jt HRp!=ŝfߪ?%(F`e<+d|Z>5H,:-Z)H^}rw} $}Xp̻hF0)K"TıVM܄Uf]m 5@mu"VEj~unsGmk7-oK} 6|G [ڭB۾Ty4]MBdUSQLb%[+WQ{jIÐe4 <:}. Ź kʴ*kƮX5-B@ !!jC}+z9 |IXʠF/TX$GDƩIOUBQ9 .RHC0, :ކyQQ.2>ܷ"P+35H`@vʺ vEy (j1gDD!=@| buD$/bKPFxPXtB9dVQxY7M[wMa>(Jr;LbTLG?VD;b!@oԵ @ZP։Bi (o!APTwXD6=@{PV%6B@Df2\TQ٤H,jDXթb4r$Du WMb ) R(JЎȵQ4%MBnvᑕQ@=y; `nPtS65{Cص"_fn!v T@G" @d N]T''OJ<ʱM!Uv @i҄~,2|#{AS8>TBŰ,[Q lڇuE/H]m{SYS6'/Nsș/.D'He1UeW690Jt!sxПjB[R?2igӗ[U;sd+(ܤHVУCgJ8Р"s~tyu{EuAʰ"أ)/Z-?EF"tCxc7sB;ZXAYKVK#!0 3+B)L"J u3zvW!u-=3~ P@o;"1?E",jDΫB GT'!vAL)rw s:Vu]uv!^w`zZzMQ<ޖ@[}.[4ukU]PBQ[P j ̪'IB ,g [E-|@H Z껩b!<@L硰a ϼ!м<}#q:vCIOA48%T""&cAAAA}!5A} !dbMlG)2uKޗ A RȂkUnG)_[sD9 )zS$#QnSn 8hfT4[v/5)y$5YSH(4 @} cRQ$dkUrlVV%8@`d )^PQͿpi#@ / Rd٠Itu?絛Cfu YHPiiQw'R*Bͻ+bSKMHوM ?az`ggk𓪪!ͺ=dRoo<.!%겢/iT>&7Qsfg #_ Vcp2բOSTQ3I+*D* kcGIfۄlBUg^㗧YadrXT55DKbå㖡EҟĈ}iz5B:& ,h,ʞ$*sMTEeYVQa1F=NˬkׄC'z U8E?e}:sY&D>#&%E.* ?Dr%(MKPtĀ-r25HK<@@)5* LV* Jԥ ,Hv%4>C "ejʜȢH繪2-h1A/ %oKl$% i!3iUEN}K|diHk_k"G&mAI4z>֕?m/\{v?Oﺨ.R2 Al$y7I-"53U٥mDVEI7E( ̀񲭒'R̉**bLP䣋md " Q쪌IT6fn$?qOѫ(oTԭJstFx퍱㡀DaD*lTww @:o9A:^!FVG},X'hPWeu:{ v!*#ġh "ŠOuBʹ>doG( l?7} ?]I ;XTAPF )IJfQ̱u [H/B!>F ffO+"//mbu ( WEꢑ'qOB'5L@ȵCBf}i""'=}nw9G~JNڹҢ9J[?p_h2'i{2x71g~H"H 2/}oDs>'Ԑ[ {ٮ\h( bVO(,S &( :2#$F!{O{eXmБȇ-UTJ̻Ă%Mо+)@RX'%򡢐敆JW}H_H8(N) ⓰g;*`oyYgg# h {.꩏ OTl n$C}#\T(͑iGFѲ< yUq<+[8BKܖC|D q^(MȐK(&PH/Dd*'<~6]e[_aj\>kn|k[VƵGmL6%\W$MJ_)#*U`%"1b ?{c;B4#VrqC,̓΄d ӿtB&̂rD 9;!aPzq[6L"Z4Ar)M5#N/}rJ@?D%A,%,CoTT$vY(/*Nno>y2D$Hn!0Hcp3h0GV4BW}dBtWI *W/I$Q'ZS[gŽ Mj>.K< ķ~ETSAf2ِ!*J N:d]'M9j&N#eEdZ p_b .j^4hR_^/u?C[?IڤxAcɺmRQ/FZBw _}h\2qt-7hoHdJ?v_+.K~w;G$6I{0,-f@lLQ AmR$V~I"ΉeQq.-C'SإB"$X.w2&hN9%Ƣ<.tP?Rh'#P}#cD1ks^E b]aSYNT7 "[QJAoRPoF"#zNߢP8*,ջO9ڒ&ɪ%gj-C~IМ 6H]) |'5^SVWƪ/7~:ܽKB䱣J}O[6]mEK_Lj~!ز 髉RLڠ4Aɠ(㴀עU%hBD$o]Jt$Dr%hu"fǿEBDqm+Aqwm @#WG~tB"̢5_5u QhScO;%<@g[@~h}=qcDZ l5hi[iJ$V%qG)zVaмR!.@G ,/`($[N4$4a"j=HJJ4* 3YzkF1֭amnKݤ[TΪIz҂!D"hI kBFKsBEAm#D,uzII.Se>lz.r9qD`[>X>/BMj }Kb<ԽR[9"MnZu Ӝ4R *"&)sF)I* k`TTb%1d[5 nB_ИwM2oKD&I#H#d)IRU=okV$ ֡8 PSE(et1LDhMVaN-yZj-;M%1SbMfqA[dEyՕ$(ջ@m S|$=nƣ aMg Zն#D1jӈhHhBqА\@G ~z"%ٰj0u!R&. ]S]ITEdTϭG3]w;+fɌMϥ}N6Gm_XX)nibV--T:(%UV!kUu `~rҤ%7cr J ֳ#Ȝ#8kKqPݦWQAlj=4$5,clq/+#,I\ᴨQeMF*qStmJ#HMj2h!$*b()""$ Vaq,b2OѼD4 v߭ۻ+žEGNāNrTtn,Z=;m*$Nv}JnijD¤N*߃}+$@@V_ N5/ŋȑk64z=+VUњDd*Ĵϓ\}?q E~-T̾u?|({P!Wܺ[ŵj.ʿu(vGuE[QǝwW$ydV0b0eeYUGS4C+h(C v-r̸Ȁ+簆3E0Y߾$'⤏TR=^vuc\$5.¶(R=b҈b$&(q#g{kΉ`\fM2-|>b@\Gq ]XWm~նujcEiJT=Ye]GG[d<= -O#Sɗ^4E]{{2Fz7-:J{>g]%F桸H #['Ncj]QI9S/5QpGalVLARW`MW-ubưz5 ~Ae:5WơLdMhRTA~ku} ~΋m_ `zz\C#N" '> [T1R)EM'qg5E%JQ,ML,* ~M/SJS:"\iUjbO;YpK,ʫSc3]JF;b2յiug1vHlʲ跏+J-sݼj҆%-jԨ5r%n=i$@4is&ĥ$)b!(Yod?uӢ %(Ԓ-RC/3[&ʣ_c4Fͩh_TZԽJ#KHv9tT2֍`Rw,눋HU_Qe3. -+VRDaRVVSvQҏ$ ڬ<}phy9.(+ꔕ婏j\O f?}f@2M j[3ҥzć!-(=K^L\Rڦ(!_92_ݕq wĹIZ6#c{ 2ezLY.K+JIl6GFJ7]&/:ޛ'59o?fD;j.]qiQ\6H}o; .-cz,Jı삦(bu_BdUEWT5+|L;{_+v)C&i#KR4j\Z[/qn-b0(LRHN9!'LKϦL@)j.*"QO*\򼿷mXiݤyVZ!0kRPS}IYأt9k뜥ȒЅ ^֡IP?FU.jU-L*G}HDVIyD:1UGߊƦ梚䁞cSW61\7-UytCUSD%A|aQm<Z.z%H .ե *"k:Iε}G|%H /7Y"֓=J{N)dDMԅnlSV#3TСA-{% ;j+mUGC@=bCIV'o1st+~BD$=GdGl$C8)OuHLAU$ ) JS]$B+Lk_V$xuE5,d٤>,jSdRRUmS`8| C"lD,{dqB}!Amc?%Id̂ƽ[!uPZAtt u>HuezgEIR$GV}~IJcLduB}s9mKkW%Ką Zd)YZŌFHܡ.n4 B2EeZ>гgБЁVE8ce,v&=/{^lRIK N;~:NΪL{zsX=А%9mוbaUw U_"躎B< Ue偘~  &nj̈Ku!qeCJ"TѿPG_tjHЛuHש8 +*)jB]¶ŁiAJTydJB>عITtK5YsG8Cʘ1sXk\:!1G'8xZDbv=):|( ),b)/{*<^ds׌C,VWxon۰\k߫G,ZcO UǸ0y啼`%An_bV4p_@Y5QJ$ʪD!wQ}sNO*\ )dVR"2.ꐻ)+`&5Ju >ձZagN Fj#Ԫd [ꔿ4jȶ 9_T$Z~H)Ҿksp2KeYd/=|_SɾbUM$DEl$v=cmalzEB~<4ؗI'YJ:NWl{rX偑|:8]eO5ي{uGڭ DŽ:~5:(5+JͲ~m|Nn2ħn5R(Hil{rVT}ϵLurHвNc8O1XTjR mḍ gQ]}J VmʂUdq"yXD ӵi.{:ŕ{LX3ljVIJP R߸*R7 ><(%g_k#@^G.̫<8*^$ B.ɱav[E.mG4~ ̊>q\JRul]Q+l렲)JŬBPƢҥyz5{K4 95n*~ST8KkV2i#YJ >z I؉RV0q[c}򤈴{nT+ItsT&4>yv0+=Ç 2dɓ+™#[u;9;?mA~O_ળФ#&ɔ{gVZw©3 3tMc@Wcehݵ)j6oVԑyzǾTRoWƸilңk̰薔 񰯱JE%k_* VU_u]-F-ɲb!N"&M溮GZSvOy&hTi!O Mڦ5a&m0LR7A.M 7Ȗ9VVT!TU5~}9,-GXsQ1V^ݕG)Kju)Jzߒ&sDt%'6rǨ KX;I'wRȥ+뤭&m:N"B(w^0\ՅfRnׄWh)%>{Ԏzp}+_Raַ%/_crӺ,3$&MPT~J J6)zHK/5m֣PЛε%/UV_ r4*۱ˊbó "Qg/ʓ0)#L?$1mlS'LP$ zniB!0v,OK'HauQBA$y@gU Q[.aTnEHF;lޠ)(rUԡiM/"h׺ا[R& 8#8?DDKlׅGbE[.4HٜOMQRb |sшZԕ|ϙ JguQ,.Hk.7vĮzgzUdf5 Z2onWuTsƔ< ݺHuU+o+ĝe랯"[ Kh2eG17Eo rB'/OqB}l)VELڦV(qdMZ_gp\e#h[fݾaߚxk3ؠ~f;|,J۬( BUS ,Z]WiOeo[HIK$XթIE6"V2X1l{`dqI\RTwgYEVTMR',)Z؈xeDQ5zȩ8J1HhAΤh'z҉.B1sh |CD"vO'j.BJ&"* c4iFYaмLx9Q@"o|: Ϲ.Z1vU}p8ʻRK*l(ݽIsBOqe%DhSCPjKjB d2"!p'Ȫ bY8DBG#[աXՍ`Qr7\M)vы<̐%);臮]4S_sTmWIsФ)o~_oHɗx7ؚܻƕmJ=ۤ1ʛXWʮ,odD򠪶"(lZik5Dc2ǥo6IFƘ$jt'm&OJ%XHWa\J8Kݾea<k4F\Ur?~z\SUm2j+mֺ,bo33t&MΣ"pMVUYy~lGcd&꼘8W&aY?u N,&q, 27GJtД=GS|[ ӾQו;/cGI~Y'OZZe9?J )DEmX~e֖1vw|zJ9KMp$)* >jesrv% 9̳S^ E@k6%>}C`_F2y/ } ywgVEaD6jL-)&CJiݦ!)*;N C|hhhb&ZZir.NPTGm v4jL5 2DҾQQ,2l*v-!S\ـvG*z-?MtyJW"KnMEAfuWJ^#d5)Y0`+oz`QIHMGQյ7( ք8:柮u`:fѲ-hs{v;=DԊ1]IQzG_m3z˩&>dսm%K(.!oR\ZW@x c I+HRg;RFy;L{ۯ{ $JnYDX?VuFPC\%MqM'mc7x8HZge|=nSt:KجzPBԔd[T)x*k:*\B§,J3B֥n%^Iyߚl6}٨>5Jܩwjr_-OpEueQ܆iK\!WZ>U-Pm-2DZ68mV߿ {A]t9go5E~λŸV?h$Sh2GXd_թ2˷; RQ(DY cKbJsrcQ tY%q4aLE]JIViLy [$Qjh(AyGe+PҴK*nXY"aP/jSfǾXs2<(cI*>@cfu~N7n2,]uf:O˞sM%4Cg/N _-ғISF'4*)zۈާTSpˊ1sgԾǼ/nKޫcJG6\%h:zG)Z7b%j7](D3H0\[mcD& J$)[/D#DnRǻM_oYaal>M-wSK謬|. L_hDJ ]VBD%o;RPD71̳zQ%H]Kd>'ԥ=&r%{Ywę>U5fYt0s>ˏ&)^<-MKYADI]&E Fbmjϑx]䄓r/(Ui'v]/-Jy]a7U\TD9ͪ~̩j^ Z0s>e%agEm֔[r'% "Ծ˨L1扌G>qUJ<չ ?vNYU#ЮzUl} qjՁ}iʆ&q!_1qƥ5IҞAXN5"n1oh /̨RJlZU4N ,+#H>XlcDȗdji7̭ԹԳ<򲨨 ̦9QpTR_->uۗ]l%m &P S_\)Hi6uD.gāCqt$nwҲ-ҕ3/&K:KZD+"֖)GRN\V䕑RVi2 /@rp1hkmGamX8 $Is~H;8jZd6j< ~>ٹLL$H&ukjޔ}WT>P*cyA4Exdy Q&K.I1N2ze]u9ہX kYs&KYj*fL~Id .{VnlXIv.H>Eq ;wѭ1YUD> "3*"کok=%Oh^[H TiF 2gv"~ VMeJ7N]W޳4n{$^ơF Z%N*\OP'MBTm"Գ?Wq{KV;5@Kض0kd5unJ$H\e)&V_D/?ѿPNSJLK6lRN㢐[yg.,eb&e>{̪˴: [&m5o7j_+nPĬ̖64U(Q++[Q5n+\WuKt6*dUM+&*5(R_q_K +jD쾲:l3QԶ!Xާ^:H(kRMj$pSC"$@9?I8~Z޳2Mڵ*%͢ls4|.c(>䉇\5]b Ƴ(Mr. ~/\{ѿY㚒hӢi>gO@}'uznХmzU 0UxVP0>^OvB2 Gp9I\UUR0̪HIP5;#|䠪+R|*c1Zx̫j5;Q68/ID6&ٍ|o)evB]OD)kF+µ0N+ ?!DT6YB}h|co4[ )jٕy_*獭Hوw%8i(EH ݔY4(HiQ Hd>M=cbHL3`*E\6ϑV"61=m*8bH?1T^!DMF@8 ֢/Z- /k@~x0K:`'ZtGߚڶ4O٣pT7$xQjpU4eL\.x3<Ia<{S=:n0O0wD0w>?f;|F㊝72温Z ;[\<>&n]GGO)&QgNO7/5g,leBO'P2O]tӇNDҋ8Eny1&LσW_QGY+^.VtJa\ld8Y7 RwW'iok:QZer$}MQͣƥ뻌;؉yQ@hȼ |,Lƞ0Ch2iS!>VLYtL%ja#wݾ&vJN>$y6XVrp= JQKd3hQSn];U^):dWU&}IwSA6I߯Ii!w.:%q/?seoI\TCF<.sͦseӣROQA3xD;ߊJ0m'dHt0{v=VX̿u}%.n0uR;C`5 vvq]͂ҶBĀG17X3y8`R0(;2=rMt'@VحcR./baIVcX_t" 9SZĿW^\[߅*f ~n͡5<9LMGyHaNtgƯ"9a'lj?MWxԥ\~{~Kˎ>-l%ρKS6"r"[rMRew$oև($)Y>rD[16c|^䤮JhR67 X> 52e!`-kUwTBSAʪ̤iԇ.{uo^v`tc+ܴN"%KSrg1n"|?e)ln߳{cFS%zKImWE9U_6K;v\mi~JRwMV^]dU5/4cOvsiMuW]gkV!zqy4qcH%M2- !j!|ӸۦOUAʸjοqˤT 泮\.UfbjaW!PfSV7C'=>A3Zx׵%-k& pءD;u%Iz-M97]9,ϱnqYVa,IyZuj:?E?}O_[E]ow|b,ܣ&+$:Ԝ8); nsr1::¼iH2o*2z%mTwq(nބ%ڄRZ5u)tҔ{Ç_&_Twg|,AwiU4bkCJنTyTqH7]v1cexzXi,KŬ=ZZ\.Oq8zƒ#vyI{˨+d]w`el/ iV7]S5-?}.r5{R4u#}g$D#{dAgR|n7΢`< ['X$Im{ȶJNv^6M>ML'obx}fʑtFy.eX& ̴Ȅ\V:JzZj!R=~4I[ޱ!/zŹ=W,!wU⩩ Z+ U!JW?eQ.*R¬>դt׉B7_+o4"uSEpϧא?EԒ.k> ;JҲ-#zbSD+S&YW}EnSQE@-0KZ,;_ж!j6P-*蕢rt)臼Ŵ sڜޖrK]5wVMm8u%NJ2а/eM#b5A&lىc/KyctLXv+_J^.$ʓowYQIo[d5N@]N mRk\Y8vMN-O^1 ^wa@L֚4zf# {0n<IX=B2{>Oͽ?d}/Vݒk7:zק Pu\UzdrEiKY7֑Y)NS @6:Bm# 4X%%nTVh\e8Xo};m{^7Oyu"cPK+|& {T*Z\˿tQIm }lx\|JV@]V]gIbiTŐ^em^4"4ITvMB_iP/xIWVL(AsrF,cR|.vQT1xez'Q2yKsϑJ%*kh (L3PjR4Z"ҋ~K9v_:ҏ7mKv!Gs_{V_n ZՅ9^DQE.i"޳Wv]_}K#/nWGqc9Msdy6$sPXT)v^uCo~F=&N8u?4)^a!%y bUq bQב ǡq *kN&: {;˻`_KR%o+hhQz5e3Pګ)JvuSVE@huJO߳sU*LgPg*, "J?IHw_gaoG!3eXg g* 0l oZ[җ4Ұ0s *z0kID7ҪzR&jvK+%id]n[e-JV,KKڭ7 p_mZY#]יyV%$TIUR#w(~ tv 2C/( R>5P\5rmuST`֗IM (8krG9kmMTF(pK)SEDDbY(wE?9ZbYyZn\((jz` uX^$TZ{Qf%=Ap zdMXt =}:qڀ̩J ʿ$J$#yA0S<9$ଝ|o}.]u`p￯ܛY;<ûy0dݟs&k K,STw>=[0e?tB:l*VT4~H,RoVjD̢Ra~V{ZMJ:﹬ Ps[$(u +e3l3`>gAOZع0MױQ|ȶ@t9LG1B|{Y?XRSNuJVօG!D%*3oJ-&OCΔ9c(JfLJ xWs%@#)~K#+T!Kn&L̓E[;2eQO0@Yv)Itܱ;=5dX |l\jɫZlttwTAn`ɒbVMY]gQm)?u9l F+#`Ԥnj PVY9~Og'-b!M)~򈞳.Zx?~/VA|B"$ iTUb[}*r-"yOYM`qod-겛G<)#_a]'.*MV!v\aDt7؁iW~Z&J NWi"1JԦ9tB¤czRumdNQYcOCa7^]YXQoP 4BUصU]v&W؄'XV94;P;I0l^;w>%)juUt[x8C|X4e_ \ރZ-{U9x-nlBKTUJXR]Tca9gSi"qm r~>i3~J1QV}^ӷ)Pvѣ%AfM< I]͚Emg9QVsx{<.?ej~d&*2a7֡2t!*fٔS>,KZ/;~J{Sj^}Ʃ>YW36< sgkO(L;08<-LPB$+#Rƭ+5NCإ/zeUշ*siMDkR>&aU .t^"}-~ 3)lJsLҡjS$Kw4vd?Tblڻ虋>1)S4( {3릏+~F %JĢxW=_md6-Z!!6P/HLk:%pG%z6dQICo '15Mߚʋ<$n%-RNısnEc]X ]GұLNҦ-AɸR컍^J5-j$y]JwWEECn j|[4W6uRm۶| ҍTfqZ[W!n H4+zؾ*qANg=gJv#zTwe|*:J3"֖ U\n "YئiAF(H5 #WkD. Ȕtģ%o`ycYVyJU)^Y_Z))z?&52bz;ʨ"tR@ۣ%:bR&W{W>G0Sgҡ^^1sITPѣ~2Xqt(k6Cu;x TqdSu/L.4KO▮lSU!{Z|ϡHCje{tOW\iV>CœLE2ߧZײ򀎳I{H,32ֿ'UTTN |9%.#J ,bJk̜3Sҧ$Jȕ-XoI~0 3P>~J~-Z@9j|/$,)KjW%emԖUOU@I)u|k-JRF*~B)Ǻi|n0OH]Yo74SF)vCSWe;|jp1;o{1hc|iz0j3*yuSd0q OSՍqߺ:ũ +ZK!D>uU}lޫ/_$g.P2<9JzŴ;qHHf>9Al&}2bpFeO_UVI'X=䖱 ,Tme}[ebTi}+Ӕ|MJ U6G4\[Gƥܭ+Zఠ/[ĩTG'㺲O5EzִXVf|V-+oH(MI!I$T׭ DQW[)SQ#"(ͻX$++V/ PJ:|OiS&6 S2ϵj"*~IKUW)#p<&oeXٳihբ&)">ӡO#Biczdh&q5PwvR?2ZUF}J]&,|O\V@jJzv:ϩtu~m(ݜh}vʼV:4 ڜ$ 6ϭCWXMWDsql{QI#֏, Cl)kBu?/P^%eBD#85:ĎϵDzDWfz)+jU5v߲*1/l8_٧ r5@7h =R.7u97D+/*z:Od;3>=WmׁFNW5&B& b;=据WP^uw/+B $ϤZ5 %}+}#Tl#0%yl#lJ&>>G-hRQԦe ,|4U7uHմnJ 2L,./)3*/)TEzg_$ROvc1eZGo7'X,۪~lY(L:Zɥ*%peڗ>XIemxk_@$"1CpwfiRıPOՅ^[ 7lRL9˱Jt>VRAoWqt~SVeR&p;KV)I^&+V3 2' ԅ|F;#nL;^VyG5Zp!6-\{̣ @>($ySc>gV:Omf%Ti,0Pҿ%)WI@I\8U-mLÖ]DͨGj+'nŗ(#ҼzЫ5V7jӄҷ.r)來;]{ 13b,[`i?En|{RYѤ,SKV'Yl[ʼnuԱRj+#3jwVc￵ @gpX]'0-9v3K/kq,̝-N6 U+J})UZ䦗kQwMZ̳֨2)Kz4G.Ik91|\wƾwNR@Pu|.ˤXdql\7ȴm LϹ :O[MVP6Qݼ_7k<]^dBoT=ȕH~EQkQ7 a~ >~ct" fI7H<MkO_JʤUIʙJQ`W6j7:|T r2(Do4CqN%{TwdVQI-UtMRNQB]Ъy?vkP9*]y.GR[]e O~?'f*BXrlbư![kIo\LG=tjQVl =o}EEkNT _tfVbcD~t'^h>4i;#X?9nUjЄdirjǝ9D]~נ ٝߒpQ݋i)$dmH#J|?؃,> ^HzbR%_yJ{qsR#>j/_׷ڝǨ,kJҦ1kH n8.8cSӈFhdVH5[Os;`I>rX"'H2?riEs+²KP_Y ƙC|7c_:s"۟! TN^xAj_@X"jxCbZtd},]_r)ύ>x[Z#{zTY*dU]xuOĖrr#uWudlȧ8Mʅ BQJfҤXH`IN~tGɼ0~y.*'ř4j!"utV֩i~f.0k'JR//-ܳ.ע$+߿^'` 'K&},b+'ҕ5.:{ qrئH)f}IH91jOH*#*򐢆ǔ "pFLXme#Z3zXe4x>v-PqGr-?|O(Ͻ1e ^s,/{!BPùǣ r>5oƇ+G2c:TmOdOxFAc BȮ"I^IP6cC8(qinsO^~P6sP/A `B"{ȼ޴N/C6^4 8uھG!*%'UeN*|$\Ҋ#,'tFa?A&XּQFA7(D+#Ì/F+Œ!hj!'@ӴjmʡKCjqSՍj!R8MMKu  c\v Ɵ¦09d)$ǢpޤkRC{îi]bn)YOYou[Mr!T L"$5Ltd癝avוy{ZAƔ)iv#=mcZPMSpSQ;9/h}du5f8'=}^b@烣$*MPf0Fha?7#mfTzNv\pW+i<*>XN !b@}5E LMC7pZƣL3 *d2hT[`N :)e3o8@rq>59/欦|-//c8vv{Y!j{nqH{Lq 8՘vXVZUiFğ冹 i+f@؝RM<1ԯ%T)K"[y"HUֵyv=iwҬ:TƇL]x j9G t+E(X=ӯo"5bזQEk?n):FX{H4n J"$yX!+~iz HṶ0k`k!_=E)`ѫ²S-~uC;9D津me~%QyU28\9>+;}F\bGGn4ĖҔUOގoi9}9*}(F#cYVD[11Ж0e̮VGm2E1T{эYܜҨm(b+3`WF?H@~F7r9 7˜<ﺲaׯzIN>_U hg%R,7|6ѭO~5H\Z$Z&xuElۛC[e 2$4Mk{ωK"(nXVQDّh%sWJa9Ĉ>&k;~;uƟTFG9Г3UH+ Efeâɶf"q?^>waJ_g$p-An0[L"9:d%/乪?a -#nWzrӢ'<0]v`ӑ#_M -W9:%&V5-,T]Ln3!х]?u)iY^M1Il=Zw>[D[y/Dؙ-Exa:R5| UX/j"͙2$BGyֵ~V+$ЕkgR;'&$msA''Z&qIp-<lӄ*iE7֥IB{1tyMp'MVWyWi1umSוqOp1%8 [L@G&X7|Č-v bgg}Snʹ~(QpG!0Q8կ!%~Ҹ[H[lQ>$wL] XޝN[_2kbՊhZpOsR hB .KEþ1gHiRjNkYySP+9w^{wRE1\^&$w a&\ 8})|sI1~VP?_)#^.Zzs\jPw+ǘSM7̥q^:/o*u9."Km< OӔuUڤ5+8q?͹i>E?=@kv%OH{1w!DYg+M${{[[]\D~9CH+ԍ1,zz1s-䱿?$>aM!c)6y&yo^ D;P9?)$jr8hmE40ģF͓8 vQ3#%,|N1Atc:3aӖb06N ?ka6]a얈"7iI||Bz)>g1tݥԋ2 KH/6MSyzMg7*{u{ͣ3} S»2) 8-" JH]f4;r%m( ΐ#imV]-uU7_imsӈIxH>5cgVK.y'CD͓ѹLwAJ'J(JU_ض(MI6wel>o+Tm2w`oVռ_\wչLfD2-3K#|6ZɭJZ.MG/nĥS%=q~@ril\=H h`fh^5nAFn'K䓏ePݔ?xUM7Jt2S*,;ʱ0*q*4͚.KR8Ls|[2ty%tI|;i[գ? "pB_A4GP"䛁 WN@ɵbiydjd)~mCIĶ K֖rqܦ&mz ?ėQsPu_K9;b7iG?Kؖ%Z텙8+n3Ի9 c.bF{*[P۠2gE6+zdOT!m=}nNtv]~+#WTWbPdȬ:S&èsN=TKz9bg#ʪʧ?tcpڇϧt'{edZyW}v9bM*e(XsVYƉ;Xn !Q|)Ip+J̫;jùL"d6hCV+*)-W)Uʒz/5OI@.;irN@I%xi$x+gӦ)TX~* zݴwaمAMLIr!I:ӴWC~ HϨ8[Mh/B1; ۢ:M'z;$GLu\e5;Ks:,,sѭ=90^\-j/#ԥ?XS]7үQyoJ.@e|hӿ4k=bn&ud5EKyةgWvdhN˹4OV~[6gL5zW&J򙢝Vu_9-CYnvNXDS^O'yx 4j#?ycT&q{Se2B~l ~#)—iaRQ\{:_EQr4iүK H"~0ck',:Cr~CQ@ض=~&icfmv1(DLN|O=ڒ]tzԧU{nI̫v i2t_7`gyp3f$tS\GPw#^G-AyБ/msh>4'J٢{f%}-C4Ze1s,YWnj6 <~~)u7yo]EMO_ʪMڲYV"$ӿ$>ތlX7yHMOԵ})cvmN@; n3f5/U,tVdYEfqB BzdZenHfeyw'MYQPw^NWʒ"+zDCSjDSO>m'*9I ev: >O|hiXԞ&KB7iv"Թ{, B7*r¿3RB-ʦ1+z9 1*B7RJ}(DL;S쳴.YJ~dn W[eU׵J͞ikCotՀmZ=X+̳;mX'ܫCwܗmEgTT$YTui*Tr¨Eg,ΏnH>ORSWckY266|t*MjzRFLLQ}l$?Q8 Dqԫ/peS~:'pg6"Q[F-2\S_ ~KT\W<2,36$HvK_5 N0(cg[Gzw;-HD#jHR_R(N CreLZ4+"@ͦjn.M%|g%W~T[o У6H׵HHb臆Llzz q|,<է9pTy+<묋tI렅/~zKgx$XhX_~oYaQdS|Je( \e%]RAr:8zQgngvD/(W =/"a |F:k||e{d;f{U< |Vjn=XM IqËl1wJ3qD'Nqagnd슈4WV E _?GIX;)Bb׷e4K-\ӕ!rv!+F첟m3ޭyr;zB&wݠq3cգ禝/K#{Ӂqc6codgmqv<8ɸ4n>&얎*n$VawNЇC6m%m>S]n7[>=&l!O: o;,LVƲ| 4Ʊ[* !7$ٷy>Oû*D>4hPPDsJ}??_-m2dɸ;"Eٻ @[[_}RyUi| \UnW%(1)E ]VF٢@2 ;NưI2N1}ڥHi߲½"TE=B K\Y&QKMԔW,~ L}HU[YDՠD> `/+ . X- |>@J 1}D0K2ɳ}njpPZ8 D院z] AN\ &'5# D s[U2E Dqh(ns! =dUD1VaNd x!5C,4R%7 Sʺnk\Zlc'myvq`5( 2n*:֒tXml%< [^ ;+"+*_3L7ӄ, Jv(jc>ݿur_.5"f[2 b+#IN5H_3<ѯn7Ի0/#xۦ/g_ɳ5NB3&>dVUD%u0꾐=%C)kmE5GRqB;}T z<21⮛ %kRVT}M "HaH֫x4sDʸ&A{\$B0Hue=q؈&j;,(1y"~#nG֫uF1 ԕ>4: 3YXܓOp͊ڗ*o;J^ADt=AC+ڬէCPhoG㟺tKH"qUE(WiW0`X4BPIkH P3yd" BLrj ь*h},JT(Y[,8ʃ+oj8i*!!M%JS]~⬉I< J!ssgMxdQz&"\-Kza_^OAOSJΧ.*$U֩mcLSWdj>-hUuA/oX8OKvya:gx  arxgЩҸ(zʢ r"Ҥ .K;*ɾb։Xط̑1kD-"ȘF3;?U$TycgmB:#0 0튍GdN^:w7O[i+Tn".p8}JMj!.m5Lt&H}.@?eCn*M!M:rhݱ t4F: Dߦ,$y{R,Y%SAӦq9iqCUTl9)5:(-7(8ItWxG\'=nmEA݊TkSE|hx g+:,쪾>9qR}6uE`A`S7ŵ;;󥯩6Kc>I4.#j$KLz9ϹCD+V158ʂ)֤UIԜ'/k\%'U>$$x&=sT_ؒ3ob7։_n4&IbAHLd8u{шGЂIM_%Yh\&#|E0N ZE+ $/Rb$-%A_ו`^y}i9!L= zc&0@spՕh je,Þ#bB :~IR꜉Ѭ*H9 Qu-"&s$&7Xu xcr'8mi!G4uR@Ԣnm-ȤBKP[ﱩ4st}"ۨ+j#5wt}oX @I&i6|(k R\%K״j৻ūHTwAUڧAz\7mCdJ\jL#"\/.Bbâ^> JЅaxfG84,nJ޺#})TſDtOf=/&.$(9wj}jJ]&XPG.c2ZtoDy}JYlB%Kd"M^Db@pf fFqQ)H%bWwOǜqP 2Owm41 6.Z"Dy3@2Hdigơ+ Z]?lŢQT楣CPߓGSVHh11*{FQN.+j}b>$K X!X^7JɡHIu6EDuQj[~F1Mu?|J1rH8g!yVJr42䘾[TLnǦ> p6e"X>TIȯm|WWl-+f)WMc4 IJ,z dGjM~Bݧ޸Ӷ9*@0Ȅ]?gEss(gpd$E Ј?M!AlY(0OTGAf 3yF3 }m; j FEeI&iF1rDLxD@踊᫶(2w nA~qBI!uKuQ5D V_ԴcD2Ђͺ/rP&)"Flst"Y)=b!V-ir 4Ӿ ^?i+\y) ܷ::>wބEcP"BSFa9v9eʜ_G'"wEuYendshܣ}QDA@WqTd||c@i"m0GunH5]{G!wksN_P3I8jԩW~ )~kQķs^+?1vOpPz$>YE.c]4kS}O*C l4>tC[ w,~E9r'G$/8_g$,yWBQJƧir0=RL-+d|˾mJĴĉv"Dz̷1@q4.YWG?F-:ZlnBF nA% [?bY5wV5D#t6qS6qHߪRl^HomADreTU݀z&KdyQt)"# +$LDrɾ"~O"J˲ݵ L̠#aA$˂p# \޽=ZGQ!rP'i fQ ü | gH r:)CR=5bԌ*!F4k"J:FU&GmYoy@ad nR1 >-#yR9_ڥѶi"#"E,9-jkt 2LZW)y~ҥ}|Zm@&wiI!br$XB;Eϡ08E ˈgNr.ȝum!$ 2Dֿ1nh&"E/.5.V8otB?fBs;7bcar,kr#Ľ_Թ@@ ېU!l6{ /)?dR\,ĝ"]}s1>#fB0+#i_!"@R4YRK :E oS[tkN"Xltȧo{UzSD[\נ}b$m_4Lr}[T7!bP?S*^cc$lK1F3!Sko|>k.d޹ҁ6j_.qY5xMW̹PtPY4bjܡCLi}ȗ#J)D uXǍtѭ!`jR6mACkVw1캺$HrTxdE7kSЅ˧H)xKR=JcݣNC=MLh1e֕%kWToHU|9+K~:Zȉr0*Z%KJzkJD9jKJDD<<5YB%\\Vt{ N|]*JQfLķ \}r1^l8✡K;qvڅ!Ǧ缯KK{-IR.=Dѡl6(|UO G_FocƸ)2y݄~O,<9A9{\!`UZ*LŌR;ύT@̲*\+3àƂ{H)Q =6HP0au}yB֩9i3.ƄG""4. sFu 0>=u|Ov6I1,$yp1 NVֿwY51SGP2p?AJUV]mH4x)ȕ}+V3Z<4< ,-'EV4E=mWfeoQkODv`%cEB(lR% [?T6qpPgnRLbڦqicy%AsYdP lrU!9!.1{*Z6b)U} +:")2p4$ |2!ei:"w}Br;ico@iGCt}( 9#7ύogG?A@xXURCm@9k*P(tREtA~@"fI"RoFG#n1hOn13­z1^_[ZRq_C02N&5~z>7 [bY<:} LR%Bmy"d}6a~"~ӄ}$S/4VE">ܮ ?v gImSmȳ& $€ -Q4Z'jn")4hApt=aaGѥXk%]HD Feg[TP$qxL:թȔdsJ°$>ԑKu -h2 ~RtZ!@A!6틔C#Q~#]][;Ҽc;] cd$Z1h(敶LxÿԂ9OH&Iɨ VVY5%$C@L.N-#FͰE$NzI%cNa)c?ٷrbz(K*)SσW׳vul }pkhD>|jSnDjJVGgʤqTRPYDMj2 #DTEiP~ducdVd>Qlqs䙬HO hOk $.9 ?xP[E71F1tlQAkA~j)o[0׵T妋> "Vy{VtCBG8yYkt8Hw@Q\ŽRnj#fRݪnH@z#BC񶋫_A`JRuj~L.ݡKW啔n+kcq`uՏnMꪽ40\h1rHY"< lD4[D!?M/rUuEl踣 "N!)GQdACgה}fmP~9:h̊F#}J\ՍJt<mU']DC"܄,Hu&ED٢!%GP_V3ݖl B 2mC2"lϼr?Gƹ2 ܹ/9(02mDGQม# HPUő}KSJ`OwG{M?((H~&L08a7f'mDS?d4$E]mpE7JJĬ9@z3\.!@w+L{d³%A?#GWU սb{J(iZjo r- )D4Șq\PQbR)@IM@0!~3 }}iB`$(J[PJJȖ,q=ys@&"D4,@G5*3>/ \I\$U!wخ+Rj#,rw[s/k@Pc&Yޔb˲3jB_$CdrKeaaZ$S"e^lR4RӾ)'CPriQCtڴPIbꮡ?# =eEB6k}jy# \EZmkJGקJؙ3 $d` *b"RdB 2d@G [T# +,[r-~{hX1\bbxL!J$pYJ2sX0` us}ݳ7>LUl^і8#07{N) TB|#'!8ڔǷ>D* ´I]'!DJsF"B{(>;؄:(-<|(oku 35D $2MXubL*ĵk`?WiVԝ%J/I~Σ[xBFĭB={n5}.УH r |ܭ^'܈B⻬ 4C`ݽTTuUwD$ٚHԧ؃`V%5uZrhU#u8^8m{<F)KZ'ڸ3y!)6EM s@ccCI7؄Ӡ?oB)Qy/Z>P"7ep]'5,/-F` #6ڟv2l>uWs}{qҶtEy7kY%QO&|*\=p]/aw̡>-bJTԳ]lsj?ŵtX[DZ{xe\60IaxTpW& JX=N A RtȪ X٥m_S5U"pTB"c\誘b.Oqx Ō߰kb&nL D?FY3h(B#ITrYE 1V>(WTDoFJ 9k{CQ$KdPTt-mBN0*z2+cZy#A.=Dlmx d=1(*Q}WāȂ-4BXu~qYEuRzROlќǍ5F&M Y|j:FPIlUi?|$sdˑE|˺̮ rof=٥Ȱo'ؐ dڌ%&^XeFN򴃽@PT9EMjE00Ы r"R=dTϦ)s؟H#xE Qn6ʼnL5uKӗŢQJn$ :XA3(9GԷ8cND#BBjd4%hJZa5bD @3@fVIzkO;6B괤?2|ԊXU'?,ljr.20K:8+nKD1ld5 Bڊ([i7춢STL$qAA=y7hPQVj*~к@-MWeDXRfʁEUH_Ψ,  >pAIRv܄%,Bѷha#B% BrӳLR8Z5JdD Xư &4 լiy1M4~%q2L^ t}@kPڹ+G5z"1D- C0.LRĠ?ag]B$UW ޸ISDk&E1%%U5piYiS7Cs\ʑ?tugȥ!3Ajd U!OKv?u|;MB؋bT9B~3nZCQV6̤IB *VDM·bu\LK hqArVWk_;l#(HߒH } !2tm_Gx{) cr[DZN2?* L,Ź [QfYE%{|o0W^IMS%={h]W}6:0KVgQB֖D mZLX)hTu-E;zV|*-Pt[$ٓ/gwVaOĭw!g/_QN:VF-rޯɋ˜<)SݪBB5N|⫏WطyV8/ /*jUlBRKՆ nJ\ YY1fj4E Z%a.roTD4[P#$CK[4`\d]@_=oOʼnUnL03p!|jj z0B$ r )/uCp'9*83'?Cy94rZOdV-KHD ԂV8nH |h U%E"tdeAerLԑpvV-lѨZ脂9ND" K0б3A)!vxpTMrDP ٠*vږ>n&uLWidT$/ݥBe^6-hdMVICW$VL d @5H &ZڽЫKfE篅@uZTAyyݥk4|ɒB>8b)5@d1&hחeѮ v=߿EqQ4lťiS@<[JUdkhPyn|(}8j;b$Nթ`GG㐘B<ҵ yhFjj|tLqI KS&;˺!#kZeC~ɢ Ifu f"yi$`--~z}ЯLPwGZeH5zIr#IWSw"R?etVu,c(O;PWi>ˠcjHVy$K(ۮ (lژ? AQQl9*! !;L*)+}i1MKqjЫOܣS噄cԅmsp,@N"ɔSVfgĒG8(Lj者s`ԫi6#,rvUV`I7TeAOl_񧯙&CO ~q_p> ۺ}t_K\#ZO2z!Ԭ&)L$#kgHiFG2iK=qai>Ef#J #U-S7Y!r=Wj&j5@R/mbTǫS'jhԴ^|H*Բj&2Id}/m4#"-R Zd+ [A:ȃ<Ꜿ(ex!Xv=F H!B,H>Sh$M >n1}:t8 Ɨ$i2/*ʲ{8;ptIӷeT&ggD[֑! jVnl3A,h=_4l{JG>$Ūr\&-c z/KB*r<&>(gXH\=&!" OZCVR7E=ejQhK !/Ɣ4#>525&1;m> {^Çjћ6u~i>f*c}$XcSTha"}It*BF)ȎLf(^ϱ\ HqAIY$yF[1!d}ͫ,XQ/z rF{-ϱ*6K>u ^).KX%.Mĵ5I1?b"$ W_ؔa}ɂyJ) I㚤d&?EgZP;۶Gdb{l:>m%`H aДĝ;*<2:v1JRWƂ_Rl=QzB :8hm$Òt~rh7R2 R:wwyvdM~p4ȔTz]9IWVMUQa] ';iK (ka0MK+;-qW*Z6 kYb5\?5v:eVf]NFN_j.' G#XYv_zX jb٥$/b`j5J s2!KR)}hWYGѫ"98CnPD}LLYgھ.)L5$dP/MD[r5 &TS)}q.l$B!!B&'6( xN98 "NZ4K:=qz1G$A~̩90T\ƴ*9l-eDԌBo6+i'p^D {JlArT ڜЪCgQhIi'g:I*ڜ zʣb x3a&FF(J9&I5~i%I{%@{.dׇIs沪ҔJ=CC}ȶej8h{ 3 7Ͻ) ">VMsGT ̯H}oR#_3p8sQf֔Y)H(633"X'I0E4q̠jҷ>?DnH|,-kRh~9^k)?OydإzüScKؒ<,B5ϕ)r$dS%YM㜖]R[\I3b§R1a] Z5Hġ1SHܶ)#G9B5,k%Qzk#>osf(#6SoqԑIBxn)Ԍ-E!'Q/dҕꐅDpBuAX@9cŽ|^՝8Nݖ)m% $]&hHMK.gX7č^WF$EVPZc@P]ur. ԭ{JH PR.F ǀGtR R!Wf]VS$q KdR}2[o#I+DyZЊK!R *}UZ'$Ť~(qE>B^ZҿJ> _R!:\6F(d$yS_2-䂻I#jФ"QKGvt@TU7*|죚9LIGpܖE{Q ֲ㔅!Kŵ &Nbʼ%k ' j;.PqCAIgVKr2Ѵ%*y՗2= ֦< ;¬c>,*:)}L36ͫRQtIƟ)' {{r%!`L,npB֭: #p.n>{V!KujXYg5򜐽_FY4)#*%cM*CnP{ChY'nWNJ:OGnOP7/H-I׸.1nl!ǼhBֵTH_YXykQfIVNK^9P~"<0g]=f[U$[D!G #(gȔ܅n@ r6d ȒՆl}mU,d,k-Gӗ]"c[]Y&in"y~-*W!vZ{YĹ{v$B"dT5?c]Դ1HT(꒚ я8|w@H\M㧭8r':=KȎvkT|5/tݾUУΛ@#2դhq t/L䥬Cp^jikG؁#W7ؚ ?őS3dYmJ=XP̪<¥q[ׁ/`歈A9 K6O'YrL2N>%AH1dRUEzwcߒ%N ,2K[zUy8jʐϹz[6qR6nArV!`RZܣ P4"x*2%jaﵑrkP 4b[P@̊aMt'-JxU ֠HVywĕAT&yt7"K=?5Z^pѬ`z[mF0+&jRTz%SBPDSB@r~IrD{l"g-H c&A񾅡o?E؅%-"qǝ 4NBp3R% cR[H4D,i`=ƥCj}+YU/2Nʮ&u~#{K8)JҪSł-.Is-K-+ ) X[C"x^E1mlg޷>$aPפ]@uQqO|٣ &HhnsYQlclC$nbR.N;t4j3y%cQI$2!P׭-rw@#y?u e܇UQ_+ŭ,0ABצaF~qqQXYZ{UAMԕ'`[He1K}-`G6q"P)B*;>BY}@{hW7dEl4/`s f,)T>9Rd¤BzL]Hf.}+~uXpã,RT7~^IE)k_ ԽF26t̫}wܔFG,qGC~5T[, OUm"]ޣ} $ȯ'@emb۵}$ >eV`HfLZʗvi~)gS-*/IT}K.f8 T1!|Й,2t$"}2m'"[TXL t~ptk2\F'2jSت bl49sM^gqjj:N)-jxr%r-lZZ6%V/$6é}EHKHxUNhUR'OB0+BS9]f}CT]#JfS{\tDNR%L$5)sա?.>QJB2#"hI Mč=ʼnU#UֈH&aq_"z4qmW\/+>9d%|ݩlKpE4r~$N!VEz𾹏ݏOg⹮f'wUD+r^GV%իs,U|r**- tTtYZGۂT7TgړL2VӡEIa]:buWxVنU51J hdS#2츿ʭ/ٲRR_-#$sv2ˢFձb9J|+:X-VM#LU, '{Aq0;7 / ZGmw%[Ӥ!l#5\*MSխd Zz F{&P̉g[MU Ht[W1tsX rD;,jSx뀼.r>0h:urӅU4Y$bLѿ)*6j+i̍G߲j&䶮lڴ)Z \5|/S߶k9ɾڲ?RXoWs}_L:ƈ@ 3nVC˺pbvODS@IBhOu/nE.|.,Zh5>sH1ȇ_2!- ;h2HbpQ b7J+dmXRfY-~:.t\4ŽlI)Jj[#_Y!LOmB9G%2HMJԡ&//zFnFi }OfX_NC@#J[p֣Ӝ%"CAIԾ~ !_Xlrb?).pSGzZU']V5%J[Oɛ_QOGݗm1Ov}bv26Us2~M}EP}7CMyUwe{v%vr`/< WmJp7 rݵM[?h\}L&Of' ;>%90#B~´_-hw$"W^ ZmQXWϥ\X8W^d`^RdC62ڼ )"v=aNTXlR4 V32: QwׅE;d*-RV5v^uiq:Q V[)ZWt]/FsA+PȔס f&ʒ̊zfHZU=!B?5J!vEpQ9Vڝ.+l"r%R% \27Is.[%v6o3߶ 9 B4Kԇ>IkT@#r2T{-%HZG'o ;ϹjO3:E0QLeƇ,W|m ʖ)Nzljm?}PJȰ'N{F6=DT%W_PGݪHϨRڸMH$!Kz·93V}gR#h$Ns8o0eJWeZPwm㺥oVG.&S4K״r̛;(Gi•j0iv5қ)jI:|.%2@ ꒽Kn'JZ5u;CgU&l(k]Vf[U""Hc\RFNF( qgV^9KpLzW&(-ֽ#{P?ҷrZ 1rŭg|Ok@!l"jJ*>ՠI::${ؕ={Tg):گ []bF`_r=Qx=m 9x~˫ W!/ij5e){{دRŭ/ >jdGV_o'+w'ILP ¹npƽM >_ggTE?ץyASrKZWPCAtD hMp*&e' `6bmOM49D)O#N^6!rc~IsrɇSV-T^})^ŵW\&qt \}?fA-y ~THX ;֘-ٹuK_S_ì\@+P絷[Rum@E+j%Tj*# iL9N#JNP&Y vmfڷbg^VN]^cEU/U$}P_RAHSuvV[V!rD|)}Due!jZyA"*)_nj}Reo9xWmRܨ(JcQ䗠=Iօnkn,^#r`B(J쎦C:8#cA٥z_EP`ɔYyY}1@mllj 7L%#Mа>uEssXUAIA)f^U!yRTr!R5iW)Gt vw}ǥlK4+XfON_Qe*}'a]~uRXڳ8ʁ|S{R ǣWj$}{|bKp+I `{D>-[~㐂GVmYI孝ta87 A.(4#jx#AhRAU1JG?D?噹m4-ONR0 $7س,3B5{W_ 2/}C'lJ9S}UVUj~iHm8SVE⤬(؄.ܒ.h SCgQ!A-?v9{dNP0B7G]-S~Ͻj"q,ġDh" =Kɋ{UD=ʀ쩉wOZv:Ȑ&[ƹZF>w1dU}z_vSPLi2)Z9jf2r<0̢̥RbڸkV:Ĥ9 Ё. 2P>e[՚ a[UW1;~ :nSU~ 1 iIr>4ij<-OW>Vcy N2CԔ4h[ef4{;&EG[))v܁/J$Ёqއ%Aw׵uC];iR̹T4|̭:2~z^gOʵW .‚&c1* ϷJʘrӤ3x,f1 $ O 6TܤSҧ U te}+ jD6b/j$i B͉[hJF'UY ޅp^F]/2:c@LӔj^avE!bP&O#$,#/[K6 _-r!nQ~{l˹LL%چ#qeFyS[KT?5Tc4*~w0$#ųj<z`gY6E[p[A&mӖ;/:n9,TIMw}jGTHF!vVDZ!`: "N6(%m@ȷi;K,j^-rĬo*NZKϵa`ۦYnGũj)A z&yt~ffs:8|Z⚇ÿ}wJG} ^u} OʭMz<#vZ)MuH|krδ%<>, 0LfM#WeiQ^_2!M_UmFƑ{u& oI"轎,kaua$S@¬ڢ5j*p*9P%5qduk˧hV&NT q.]yIjϸ୎FgxMZ}@zj_<)rV R+ұ -i>E9+%"tNWJb{\R \ؕ6oz:2lط2ADtЬO"8ǩvzǢVJW" U>dNV,~PJhZz״FUzWSi?ݣD LrJ'P`vlh5iy dpv ~bEl ƀ KޒGt Kic^ڎH !QTK*4삾-YZ5?KyAԽ-&95K~*+ly3;$FjtAl10`Rd>:){SF,GVf%A~z;. :#H:&:lb\ĉe5 BѢ7uDKz lsȏ$ǝbOPtY _bP ӽ 2JSlrOS{9pIyK}ChПzN7)ˎ$IzBX\P偁cMddLݽ lEQ5ì*o#Y2YwHBoZZ"RaeCx:+zL3:\T=H$ۧ9xѭ= ЋWuXd]_sȱ>{Zx/9!>tK@fEOQQ$ݒ# ;„Μ\fHAaKwL2GlGu!eT{D vy(KDJrvSе4J ^LP% Jϭ:Ch׸ȡ1$B,bȤ7 š{ŕ9BKYL¾\r29&<9ŴSh=(52$ Υ?OٽNZ\%gD+n$7J6$J SW&]PSdIr6/*9t]\n~!i *Rb%IKaѪJ+oOW+5Pmu ZYf#uVF9iJszO#P|)[xQ6a|Ȣp a{%зfc\Ţ.ۤ|GC&.ZM.9!jW1+6ʳCGҪED'\M aQTǥM~*1 A$c d_Xcv J0Rv]m4&Pff9&~ vxчv݄YWA{_4K,d.6-z<ͻl@Ϧ Zz/K{nXpKfhF{r6+( (2-nB1W94CCy3E c3Ax HØ,;5Kd-0 YHTĵ/椾'IfI;bK̙IVhW"㛗͇D'/y<~/i'˪($A>$Br=}`x9R[,K- |Ѡ}k \_/E#aLʚȴ4 ˆ΢ȵqA9-~Lr$CeU<>-k=o v4}?|Q5gS48q @4 *2nŠL 1hAI)hHZ>dTv W$,µa8WBĨ(l.9PZ% @qFj;N(B묪2_>v촆"|f |lj=G3/ݽcmgWdrfѣS(kt5nqg?M6h4,uTsb$Si}y aV?HTҬe P]E59aʪo g՝hlˠsukeA5djH/k˦hԶ)J1@FiڠMnQѬ_d?t1/+Y)&euU+=nG `⣔Db5 $5FF${(hBz_Sb( VXY{KbZK_bҴRÜȵI~P ƣI٥ed\W}47x6.jV}NcL ?uqJ_2tq>%ٰOb+j:@0+ D4ܕ>3xEbQ SiKr薴ND>=BmMCg+kL=MRӤTsLG e1̢*nL֖mB}|D*,>QP| kҵOZ697{R: x)3:5M6IQ}>* Ҵ)>꧊-}xMj ?Qe##]jU-EG1I;S"wZְ21K71oZ#MxTss$T^_ -{B|6̢TeMCR׺LL*ilOF2sRu)@f!YQɸH 7jb`H al|L̷ r69vU] 4q5 l~Q\ ze;f5t6=%mGeQ՟rΌj3TBk}yOW֗ؑ8 RB,7LDC@ۼ N4RZiYT(L 1" h0{w/ip[g9{b"6.ɢҶ[?詼rąbej[a+Z.N"Z(c .@)R<[뚕*Ǚ/w[ LѩK"/M0.5ng,08,VrYeԇeG)1oo#QS.+2-#GAnW'-$J1K0ڹ: qY,ڂ-QkvulpN5͞o}Rz-A|˪N~J$)dUT \+ڵnM[\&A>Ow9uF__}:nvU;β/IƔ~m2z/h-ΝyZlvQzU D5)]Q18F+=$ zgz[EꁈSg8?d&9:k⢳. RUg6@il֧Antݷ|/uraK9/ёT(wc&/jjM,k0.ұ?YzCTYmN6NZ|9R<ubھ J)Kz4fe=yt[FiF"E=&kIV#S7XP2N0)Z~L3PfH=.ҵcU|-,Z!NšnʨHlUqw (LݏAR^{y^V$*Y?dVչ~'z>+QWCZQ nZ9@T$SowY+ljn}Ͼe+J݇m퇹0)3|(+~*I?HST79= 2~o#S} |Ok6O~ c] R7ױϱkڠ7ok^[;|ϡT otRWZRpڄ0my4.?5aUey?MGӦ͘N0XN.jȕ&&_Y4~+z x)mvhblbNmc,)G٧&heHF)1ā\nC?5~̪ ۸m6$kX4[U&Yhλ:-O]u=5YuUOR_rT#J5fh6 <"IП"5qZ! >ף+d۳,<+'U Y[Sl} |q~}㍍dudjvVCqč)7h;>bu͙6}8`Lu_Spϥj\68紋/s]d|ILu) 3//~Sӆ-]RQzX|-J橬 H5mJJf2 VKF?8nVMI}̛3%IStZ=:?%`g{ &һktFFeW9hd6p5.ۯ诹+Kwf^y݈ګI:4H%r~?'ƣ+oճ~<Κ~5*ѾfQ^ӷix/x^_Zk ÿj)G~o_k6ﵤ`Ƞpܴ}*wwe[l=.ߦcE?NqFUŽ{}-[4s/ɚ 2b1^m,8P՗DznxQYn_HS8,%i@\Wfg'5gT9fyfc֡O[lMاv7蚫o;(H]~RS{X?[Z.4Ŭ:֠NbZi6S_6M$Ճ}JKɣ[% T4jk"ohr& OVţHZrڥ;ᄊ9DOAHqbG`Fp-Rv~ USҮ]8Us6+79W y-ei){]rt0i\.MZ6kͰ"ZP~mSgRŅ4TWpơ%__"Zg ]=QV]HGR/j*~1KCjQH|tf,\U]ĩs_@k'gumIV@E 4 K0ѡ?%ݙu^ ?:]E%lr};װʤ9vGC~*# O !D q>7ˆ| y2ćjS1p~muRJGt 3cWVum&}e$4I:$ZlƾٻnqIQvR׸͹Ia+kªd S o.I֝sHʰ \S]7n|˒1]p7KpSu9M Z@DCp>7Cy}sl -yZJgY'S*mV1k@j{.,l";OgԤ7H6CB_SUE<{U?$X9]54kڶJCyWIAKsש=f)Hɘ- )wR z,ظ<귑SCX/v۪"%1lǺm\s}[1ⲛ1F!b+):9Γ'QTYt۵)S&lƓ'k\Ceȶa` sͽAj9}S+"#q]O{YTk/pj>%4LF| 7>i $!) ›zŬ1P?iۗi8gaz%ȴKj˳ |>[cߚPF*3r4 b2nRM{j?G EIGR՝d֩+*Cn+zZi :%ITTS==R=>d{ U 0N5,3` qkSf%yuR5uPObp֤J.JJ?#NZ&K/+h^r[ҦR}֣jܥ;{#J/nF E n11+ TuWEKy3e-+P tQcH:/cܩPŽoX\Mg[jT4F5*:-C|CH=3nN[~UY1VY}PT=zQs]3Ͳ+3}`GSf* $;޼ͳʆL_xW=ZR FO9V;^/+.AzӶ1k\ t){ұ0ƤGqt?1Wv'䥓W?}\#QO+JܯKR#uSjZ^߶K4|pИi{fIRdC]Ue+}mFi[Vq^$4xjeW}v&5"޶ J!P`Eٻf? Qmay?{ͪԢ2ˢǰRs2w1`ĥR5[[Śg7\_:5g(*U[ŝWI%qjƺ$L&RdɆbVٵjRR5QپV\J%AnĊJױjc"Uj6mLpyZ}JO|iJm`J*O2{Λ4 H)b:#QnfIlj hu<*Ώ>-5k eJ\mWvf& =|s9JE)PLb;oݨ- V뾶ͲRW!VMu^YSW6UN]FqK]%kOj6tue6V_cycxV!gc"!{{f}}+كdD# M5@S}-)/LH4C\. 0)ӼuJ몥:-;O :oRZD}|L,IBK+%eMiA_C߮v:6T&oѕ}3UIm`RѨO7~CgZƓ$bTUw h)v N+LFa'M!vVA^PeaSչ{Ç׉bU x|lJ,+,HTTP cxvQ(8?TTuH7*E(էZR]R2iWU)8qӄG$pW5tg-ZqPu5TT&Y]X?M )#؈yu)o]{˾,b9_`__{*&|:r!:m74e,{2K!6MMA*ouX_ҦV;,uSl['/t{kb/ #ʨ3ԭ9cQO./k4,;>PyQمVեk㌫&{f-rT\v)#LP^L$i@jWK6ML٦!o{:h7zl3kUTj-F+Kvx\w U9X&D]q|/XSOUfIQVK4rgyUXqpsWO_JOTyr󖡲w])j~J.MƆێ (!2NTdGvh,krHW4S65j챍knv^05/PH%_U̱k{KWkA]%eB|ӪLRӺ 9ɂfͱJ*3v)}j?'%cvVI7׫k 5(Q17XTUz{Lݩ.ZZ*Ry܇ா}{ɢܼO[޵:+q,٦ ?5/r^ɫ[Hũ ,#6Y6%\2-QoGWā%+ʞ%/KfR ] K.!oAwM\LvvW_2זq?璘L\&]dFY_*J/k3d|zy_3Iڳ&5pn, V'gb`GL'6ۯڪ-#3+=0~j7r^E͝m6+mw6L\1tuέocr\H}lB*ҌPwQ9wv͒~Z:3nൻ/9Qچ9d\`|*3|0Kϡ k·:'N32n%O[\ʬƫХJ1NCOR5$M[* s|Z0I :MmuHGr lvGQnVQyӖp4ɓT[7ԗnVuaw|mcUVVeiT{qzN^bڗ}xhĖ$o[W7Nԗz҆9 k7?8}FdTj|H=Hoh ZΪ҆$,rv5 k!.Jr$,aTumMN|J ISPSهjEm>QVqKF!L3hmUVCwRuUsS!$g݆J ,IB4+^9+krԼL^ j6 ʦ J3JRxWš8:3;tuK֕k-}O+s5Sw2짻 2Ξ)nJMoՎmL:bv˿wP s<.bm_Wi?4]HUAgX_S]o+Ĵbs߿+moɗEcN꽫 jr" AȨ*淬B8/,pmTT$yYOki(oFK n)Vd TuQDU5 9gP; LӕDk_ԗ!-6.0VZwL6ڞi,s<$ͼ*|H{g&cB{\j5{ &/f]*dRUxe'qͮs[oXAJAN^m]sJiᡇձ Ɛ,W͈nØپFpPRg)){̳˺N˺wRU˰3z'i*L.9 XUmT[c%PEZ[l5"VpaԱőbvNCRǝ1˒Wƙ1j^?'SE.LS- ޣH\MjB]\)T_:5+SK_b<)4s\!ZŬp\(X\ɨoTE8 ںeV>G)^|Jʼj}/%fׅTW“̣.,i>r WۆT~*篈Jjz7HLkJU}s:̫bш"ބZWkJ:+ꂯ!. KVPb^)VoIcg>cn3;ۈ1B>0ta-ӠUTY˪փ\,ܣ̂5bwؼbrƩWUtU9huӕ/"D1F*uHP!GΝl:*9qTKd-j4Z&3mYE-/ut\,hj]\)ȄbҶ,zj"F3.zտe`OǸ5*%hs&+L(u;bJLC$J`7ԩ,jˬ2| E_ ک;͢^Q>Y=F'qZ7=| Sn]4~)jj7RݱqDUGu`'5ם%>lu:ד>6QئZ4f͛,Nnt6i r j " iXԹ2ikRoSئhHN֦>g6uSʉYg~m ;rB-B{ LvKu+~kz2b)ZG#sXmYӄkH\ua_/2G P}WB_YEuyƕg%R𮮚Dڴ.1^SŁF! [tUb1HMsL]%lEF]iYׄ'В7*b%V䝸Z>8nˢGcwGWIxJdCWwiyv]3O0MM=^;)*+)}Qw|Mnl\$lu-*ک7j: i+"5#lRawB%,게m*92!'a=.6+$6ɊǾOlƙiPK#6V7 "sWA' ܶ4΃5 N& /G) R6i![Ui*Ⱥk">u&J\^dʰhpiKՠ|mr!RƑjEmM -)#LJ>BJ[?#Չ)#VREE{[NT%)X `Y^yvZk'ޥ,[ ?6*ʤIj:4C# Z,=UP(i: vڤ/Ik`$*θ1XQ]Qj2RUYP3̓y_ [?%"p]G.飼 v4wbXݖ!= [njr/CWلde֫>2i3--묠./}K;rWD:b2hOb?]b*/y]U~1G^iXY%a- Xn"j/;iʫm{X&}hW'WQNGs؄$ٛIAsZ%xKf3 J ̽+b-4{vGDSuHN'5󚚱4>]DC"-3IP'IpF9j{u*LlUox%6/C}«ks)N H: jܬVevV=Ha%:@OBmV>WƔk[:P쾈`s6aCjTг̙͢Bҹ>.-Hm+Cu=o7 n:,2N.93~t͌tk |ʀ6NZ-О=\&%Ta!qR@ +ͮ(-W? J|w2Xy5F׊D-aIUGQaGQ~*ƪL06oJb^TExՅsuߓbn\Y_b-IgQHuGo=_O×a\aj)b@~ZZv $ TrWΑTKsLSX58}.r4`ڔ*n|+|6 iszSg]G 1 jG ۲넏77OF}`1aTDdRGPՕsF"v^H+{ڞnP{r9 c`_Z/.KNp3D&,ʽ5A0et!M[eқtc&W' ѵ[k,@,$,v& KdWfTfWgIl8 NWJ5kZ!\dQ[-OyxcVԎOtZZU2C`N괨l+JDf~^Vs6a;nՑRRG%#83|)N8d7LD)1,B>aV.n~VBUSEI?}(\x#7v|j„&RZv +LkӮ{uuyrJՇme;+v=m emjR+ sr0㬱̲Hz[V%#J}H2V2P!\TfOXfN*zfLkF0 cG-Rh/*r(?|$LJؕ'G/ml[=,m3v׻B? ~@E(PG GYaVCfQoPuյ!k2<,jʫ@l'Nˆ(OkzG?&`ԥ}zm&0lڵ*pU~l)ˏܑ[6FG|H9PSUuըIF÷M;6+"nexZѿjT\&M / (4b)\lw9xT[xNVM&4jC +yQi *<>]mC' yAشkyn˶?-poi9KmBXZZTc_ҵGĽ,kt]ruZf_܊JۆNvdaAzd{ꋘ [u]V }jOr6E}0+LS>$-{7-- =ܿu\kZZݩOûq_ڤGIܦH]7䎳꼱)K5˛1:w=nΖ,Y$͝{<ߦȷu87SHYKd@V(oEEHjc,!d\7JSܨv$릘 `+cӤ5pg 1Nvzg0I7 :/PXaRs}3-MOgY&-~q&{RF-$r\MgNKV}H-˜-IF ;Z3.f?ֽk+k㿶 >C[MQ7M7lT1DNZ {,Ը/*Pz($ 2ƤTsA.H1I$;ypI]V5K*8J|.J"űJ Y9S^r\EE/zlzl E*ptXUuzg9GrCH} *Gx+ϰF_ 4or9}< ǪVw9\O=V}f(?Ss²>&ɦ_.UYRЙ]y[T r:mH2ֱÌ3\L"qUGRsP4r9-")0 S_h|{1J E-#s$%K8+2/ŲMq}Cn+ۧ pt2f;hNS;D諮J ;Hׄ9O@ k|i mڦ8[jυ1UT%aznu*1T~McH(Ӹ}=_ptZ1ڮ[$)sQ WtUV/9m>HK[ۢ0ʊad\&u%nRD?6jʫ&̺b|>gƁq7)[vkVšqr*D+ٯn bAl™ʚ@0NC&Z_XJ_STL :/rx|+4̢_::CzWUXndk(6 =~Z#}(jԴt9NjEdߒz& :J7OZX4m6;O\W1'6ϱ}/ҠxWf1JSv#w]Uj,^GE-tYA5[0/sT#l"V=M:T%gN۔JѻN³/OF}q-%^[\Q6N&ʃ}97(-xqVcu[sjP*ը:R5.7볼u%zJwx\g9[qwZƴlsp"[%4oS_1B!rtCV 3|ڼLp89goUهY ˬSdγk1-VLNoGͳ-cV4 :fkLhjթjV&;xpƷn%"`;.k㥧aqa`>G^-I~i 9k*x2҈e:uE,NU:M؄ 0 Z>&QV$ >T}*|sdƒ֡$>nP>m6m0jb>4i|[B2."- cՠ:*NeJYl &L1bŋTdk|: I⵽]lEkQыq!|i3!8㖲Jt˾FX*t/ZL8m;hRKqkeiL#[qkָk3͢*G2c⴫r>* /#VUvU~3̗; ݴkYL`ҜilP7mLFnڴn=r/R^ΒJ#7YVBY[Zf!,+AM*IW6.ȴ,YU\aUvץ5f z>Yv.h'ܭk:.3F3КNR׬# 42Fkk]d%IKgg1h XPpIpy\zbaj;;vY% ɺ>ǝK9S:dwFKߊ()ʒ>~C|j\>6wOUkk]"TZU^%:L{B:}+ F6*t b|衾K UV 6 xӭ`,+#߷.)vn Adщ{Bpeo_"iT&ÎR1<ϳut{pɸto4PؕkV'+~#>& Dc]u.q_E~ -lA>]@|I3`On]6QGeYMee}\h|S^Q-Vn|[X&IS_\YeD[u%,Ħ nwdAXTǿu7eĽvmOL=u#l7Y"NP]'I#UYaYy-"-- "!naUؙ}6zSwZRͥXJ܈d6RՄGWԅb`ğ#k',[e֣i3#򿕥9ito*PeF]M~iL^9/pTZTJE%vսgשRBSZTKWϑҺM[ K$2+:.IS{2î/}J4R^ש ^ڦ\}*j_οg&,:[d]wv)b4@CXձ;)ؖ8˳>F] Hδ*kXzSrմ:ڲ?kw갱)T5a|QMfB+qTcF<)dm$K+tyb.ΫJ%ɫPne^āNw&-OؕLP?kH_3F"7`6ARTrϿꬌnU7oELť)wƪ ǚĥ[LڷYlYI_3Wו!NI]Iz\ޔK$L1dz YL\DlV::zBﻩsP9mSM#f%jW!JVyAMޥe.޹J#:$<4KξqOuXh&1mTSydpgvH6n'J(<گBmʋA¯ͫuE)dtª)[TBu$SD9hH$Lb_n::/@$D :"ҕqG_{*nǵѻrֻ0/_mW,^HڇtdRp@~J"12LܣF#‡@^w-XDud~*R>8] -TT~ Ӕ& ]oZڻ>u9ƢmT} uSJRXH hԶX\)R-u@7ĤTk"R6RV[c4CIŮ{#X||?nTѿHwc_ZW]IQˈEFodjL$-r6};jve4m״ZΚOe[VReL.mHHOk"!5z13\TUvUgF! 5R f'i?aSuyn)z\4W;Y6v"UQ~ Z;~mά=UIjg]GJ9`괙nž+~mXmOiqzSgȴ`ge]HHNf(H=b[fl_v2 D2O!e񅝽=O $ 9/xV\WHԇ;Ky7T!MMkؙ)e1RV)RD,q܅)@wT4G Q oĵD v#@ff5z^%eɰfJ}m7RA}NmοG~/8OTSGi}WS|"> }?|P= x׸8I_[(-t5v1/rA}2$oNjZ>r69l-mjdN ߯o~.*%c;pxd}tDDK[~j.j/K,3MhYEu_R:Y~u^KjrH$'փj~Jz^լi* Jڏ5,Ƥh:.v,ɻ?= []Y)`P&YJDCңM,n10lY60yQJ HӷC[a@IubG:?hyu5,i:Š>|>J#v kjKb>5;y%FWowfJjQֱZnJ\nIIX^Rپe@ʃvP>QBqYZ5 jvn9g.|~E$sfˋۅTgW=[QyoŐ`lmNB.#򿧍LeؔKn:oŞCfTAyҶ54\Ҧliկv$mR&jBӵIؕQc]NB ƒb[dB:, #qVsm/%/Rfp޴+44teLͷͪȺK2#xͪ/MU*q5>OS MeaUlSbcyZ;B5~)z+HM* 7pB9)gVA*"?eMվc&cOUƣ+|= 2d5sq*{mƅ*e٪ϙ`paW?v}m5lPoh=PvކYJ>Dzu]dX5*9[,l8:5waPFVw&}ς @x 'l(ʈg-"!IHr㈅Ky=^}SջwxuW- ZoN9 8i$7UdnFU_=~IZM:j]6bN]_UUj%]]֦*Z ״KS4NվD]-|!'YD9wՇ1E% ­ ~B)eQ PaS̜B>)b{SDDkQŋQJ {SSf+BDHm{}H1aМǥ}V}E#dNN}+h~izZZֿċiU'؊n*&m#j1XM#ĂүLpJη/J_^'֪7/Ok#!gҍKŕ#oMVXE9#W,j˼g$?y#TrJ0*k%F" )~ #&HOZul%NqՍ{QtEo6x*f؟*,-:֥3nT5!#ŧ`[f&xٷ>&c TMtՠW!n >jگ+-ۢ2,u^P%+#j_ 2˂ʐ g{VF+m"Neϵ$Fh[MNQEtWfŭO$Z>}Xu &P˒Ȇ"bTҿR%I}DH j7"p*lh/v]bE $,;T;"0:h5V4+(l*FixEYITBOt'IR͛Aa[e0 dͭoňD#>:lp%ki*ast@n HV )őcťkRV5}RCS\5IcdLyGXEc"Łhk5mYvm'uapLäoCQV%l[ByrUaHH[rQ-ۧ 1u}2y|zASVTMfitŏ{Z}3\S9F{k*ZGZUN>M[-lSY:yYlSFUST$L :1_ Lnэfi1 v&jDw*n ȹ/ J4(l+: K_{.{K3yloR$Gug]1MZ}W\ 㮩~u+ksuS{ڒ- l(phߛL5%*ڬ):{Z >$u;ٗƺ9:FIpȷ#@.A}/;lԽ;bQɈ}hu_uEz'y0+$ )mP4uVzДEzԌ01eXY$EakUvX=d'֏M .βx= >S)J#2'_׿iCHęnXE}SK+!B{r$3c&OѨmVTR<2`ӔL1jb-wڄnRVUH9%Nu>Y |@rKnC [[A}n<_ Y Ǫ\(Xbߪl2N䕳tUmWֹ}-RaS׸)Z%B~29 Exа*_y$G%AD}vEEu$Jy^|/gEQerR}^ҫ*\04/3$k!(M$)ӆhKc]ݕYD)kPEq}*m(:>92z Sh4)PCh .5t%)b^e,`KAArK.S|(*2+5GlESu1~t_ * HJ{^o¤mzح.ԬybCcXe9IU[5mGڷҏסeaQb?=o6L'誩/OR4C^UUbN!D5`gHJ1ORYƍO+jcI r֭N:Ԡ?U lTuvL#V5Yb4_Bd앹^LwY% ڿVq,Cj1+v϶XˠZ;yi=/ M򾅕`'%O~oH]F4*p6*-2o_nIMXU=MSI]dR5&(|uñ R5ϯ*Յ.[5oq`R'wwOI~ w"5j!( J(l#R.s+UYZ3IgҼ߳ 7/b6 {0 MWGy}HfFu{^w:L ₿,28ڦ#82T697qYBPו4{jBhӤ\g2pA0lp 9x*1K<ϮB>3v`U]>^Yv]KS "khh4*:$/vj R]z&ȦRH6?fd2c#s]!qE5h4AhӦELJ:5IXשq=!g̚_yԭ 8VbXvei.A4L+_eCJYߛV)Jhe_T } #寊*väNkAy\Ne\Nj5Qs rh| !'ė[ A6bii|lXXnw&J)|SNz2}^9]48 ~E#Yط:iz_|/`F?~4!; U%4\P +r^jU\šEiXgAt\vN FA^\AoEZSj.b+m*J;,RnնySQ-+2HVIbzԧb\a]`DD)̪?G0#DZ,*Hs/8~IZtw./^QF(IA*nZlYv5MJUIo2CbӦ~ ^T> %2-)D[f9ksS-z|k{1j,k0RJVTvFZF3 xmRU-'{Ebvg`cBrMinoF~ꢠjY[UnlǴNvN)3@л B_*5q 5-J[w]G\ߥ%(RԥSr׮ J!w7"FaCB~B(-b>7Nkgƭ2":/K;k~Y N8sT=-=iȠ,Z,ҜiTd\YD4Rj`w fD6.cP bJd>fa&PeҔqm^@xX-m`}VwωS]vl@*2wb{b{З8L[[S-Vq .%̚2OWwzTY8N2 /S>]OZzZ>pSVfg e| \P{b~չi3,4fXwJE@V[UY٤y]v@g: ~׵'NZ5MVLyш-(BhNB`O%PEV-ऊ @bUw9tRӲBHj r(qR5dRd,{DhU&I#V kaE0HjCwRgKObk0v,X]e= 0|̱ j$)-uUFkLk36Buօ5{_R5`aU5uFjh$ͫ4K4D<{% f7?Qy \qĩqF ZP*- Im}.П>)SlP՗އ~ A}RH)*rqkbۧ%AVݷTgUQn@᠔G8`RVEV%H_k_z:(飩˒ͦXٵ%\7 =+J4E_%;EՁp~cRģ[9K654)j(̤)'^ߣ&'IoZ^֮>Anr?2RNʲxVG%udPOD.$+h,;l:Ἧ+ "(S`WH갬Ҕ.1Ef[ҙ1(APߣ8rZR֋} #nW/:̪+6Kڣ%3Y^fA`G3 RնHd5֐K1W@:Sy菈Rt@Y 4DˈdtF"O\nOi 8#P )dPs8"fyJ/`J]m;}$9(^QBʖ'\3O]HL{@ 5,\%L uz&#L'<۽N0)ꬳ?W[Uu%Xכ&haD5CZq9f'nF$J+զteHZtEZd[s+M[NqIV"8rK\ƱJbC\6IHB^,2K' IkcS8#ZH߳i{-y{5yוYt :bߴ,"Wʵ$n#0?]:iz*-Aw})KKDcQ$v'!(}7dStQwWyߋR]E5-wwE {abߺZiKSoE?vcmP¼Lz^7g'kEy'vUKO_h! 5{ Z}cYi U4wɎ\_:-%{ <, 5F6Hm4%(OYtndV~ ԝ. r^8ZNVH14%V`F{2ҬsD$EjWW+WPG>NhZ#>O~V䅇Z;צYP*Z?eD$6?Sa__bUUW˓\{4/K^:ƠBI\2룴EIG҆g.$ Zbߚ.k0LSxJУ)AX28z蛿7()Sk%Jv,jЕ Mc޼ Ֆ=mפ,O7☪%AVqkr}Pׄ7)upZaW=4hB,#Hͷb{JQ$J"!wg_cVoT{ )$j@}7hmk?Tkuq_ktqHI>KY~ [1oy:jԗ>XGK鴼4' gՊj]?ZFq/c&슔jMr1T֗CUN;Ȩ)RR5r߂GfקX}?1iVЈ\IT=NR7*sʳ&(>ƅK*Bk}hQw.3b}:ϝ8LM4F+H ¸?dS4HMX6IHn: Zdoc1zU6MO4S3߸ 0)@'2zU[H|=c\wŵN֌{vkZԅjWw$IȄ7/ !J8, bPۤLBT6 :!.Nh3#I+e$cd;PRBK73?]b jYvÀ<͋6˚`+i]^ũmt9OriT1d[5vv|*W$P]MjֱUg,{ꧏ~d R,#в+G[ C7 [ϴCpVޮ:)C!i9lUoOu m71 #ذ?*Fb}*ؖL2J k|;NբuQfеkPUg mN?T{2@} +[=~sVָN+{+G 2;+Ƥ-ɶ2}z~6HB*:ʬ,۴5cX֕ATBP,we {G  AqdTWMTEs@DW2CV";.r\:4])fYU(ͺ͹;4$)SXSN^& mB%~]1ȥC8lԦNMSN t<+bSJ)[2&[פk(&L>5[_;HpX%+e9o2JVR3A;DDKu\Q,߇يwc9 V C@H`k0/{|;ϙiW!/IwKjZݨLP9kӦ$ R<ԕ~?BԧJƴ$͊ KSا,f4 J쑻-r18l?AkiE-n[Q5ApUy_g7=yARaWdR1Z[[7ʸ&BǢ&՝ms~ + h~Pġ~VuK~1o$"pKU$tvAi[^e}Zu xƱIf'T5^TԦe>,|i8I}IBZn✡[RQuuNSl ?k~IJA}U4Dp9tJtJ:1b\Gj?]*ڲ$% W*K"=r6\%WW^gQ-[j* m'f_s"<˒JݥئGr$njZ^_+L@m<;_2\kֆ]V/ҿ7S$>5NXUke {M['WYX^T$kKb5XIԕ_$4:k_BP^of\Z M"Ԩ=,a1~Xq>DḁR_{<7Ogΰ4} |4WlZ纎w׷BlWhxqXE2IwE9Ky-\ť:z{ $J͒\VH&VIˢLe)%.ҭfU~ꓜ>/aUF~2R>GpjsۥcJC$K[)ZW.J2V7iC ~ɻ&M;+ *~حZJ#keTRIH~ | sk!_RV©YZbŋ,hڽ։ܧsxurA+$Q3fm`O[f}޼}*NIdՁ?+wޔrݿ򐩴E(L X_Y1 ]W.v2/;HJ7!$etodMhhiЇQC< (NʻR!Ľxǝ-T5rgUcuE?|3^;ϩR(5~)v ˜0iC)LD>wON։5lW,mSX xI%nKG j¢ڶYMyE"r=  && sr춋`(|[󭫻PG2)/ C'OkY+aFB ?pȹTڷm, M~%rw=iESo'.V.L˾:֮$k&J:!r̾yn:9sV>tQj󮄩'Oq]-H$KΤ#˓^>oY_ѵJJj_UѾN_cs_K"躻@ضj\檉j5dHTfihZvVT6w%*l.N-pVԖ. ViJ::/u|-3&*c +y^VnN>F{WQ汈RVO. FIs>iѩ:*jP0ȣ' 5I|*-,/j^2N&KT%|HE;i2!>0[t>#$g@.ZNG쮿Fil^Uvx};.D#DJd[(3 "-^y1}קoD) ;Fu䫸kVFxHmVO-evabN/Z"rZHeՙLP5(Y5x2j؆j޵ϥS_ZBd׭3j5{ `ƯlɚVK{%,eWEm]rB"u=|JʹJBO4Lz!:uV] ?ĵXSf~j&qWQ*J)) xV◱QW7ԕkG7j6:nPܲ{n9+Rk`Ʒlc݇0J5.*R-CN횆u %v`|3Aj)X^-aGM!xX#|L:4OKfح+AҰӐF$?xbs;~&OOV͞+֑>q@V9ORg!C{f#Rdص5Re5QH6Uީ*IZEb@ 3z,N+j@G{3ĝV[ejF} *JK&9*;'mFеjp6˂NC1)a_⠝0oRLpޘ8;lIj&|x ҝLUeesUVVr[5ME(.ͤ-߻ ;<۰Bګ3Tk| ߪ++ұ["$M*LcD毭n zXqdf.sXږA =^ U_ D&Z%-*о4K @2hzwΫQTdR%nX^dAt5xANPf1x5޾g5묻0ڒ*7}H:EuF,"-jGϾq`Q[ YD'G7r^qFJz/:Ͼ'+#YewՉzI{1iֆa-Z]fᄑ6M2 j ,:ƫSh>Yu1i^me豺JRavZS7=5nR>bȲnkL1< AE+[묲_){(GE[F$43f{nܖ]}[O*:UEmY5p^U>% RXɝN^..*jw'ZƝ$rX>MOT  v,ʪӦ?I]myVf٥rV摆m_ : 昽RQŁU Bkblؿ_~pۄMKaR$ݽ|z%=?uW-/nP+*sL4ÒKIZTwu)?ƚT5dZ5E`[򵉺C<;'򧺮 X.%nm Cl·VhRWF})WY9OzwIiWֻ7x,@9J.Lی\Qi?} H `ťl[J^)1{#c1iҴkE]%'mVaSv/ v)kӸ.!NY&apFxSG)i|O9OPkxTGU`".)fi%>^~oQ)nRue#̈D,@ ro;)bZɪ .,ȼKs+LطqJ=GפoS"k6[D;#-PqJJ_֩3>,cf?1x˜'ڞ:zFq6hYZzJHP| {pԸU;j%M(HUrRTqnYؙ!LP='JbH9lV%aV_YȎ}jϾy)i,ROC:9S 2/2JhVV)6ڼ]E|i|,b?JvR7BFclZ:Nm-zuQtW8ۦB٫jb$" C3l]y_jraht^IyB?Sź(L`VVr!/VUGksD&LjѿU=:x?)*Om+k;R>e2Nm yV.+ 1n~K@)Xؿ5Qk^ͫROuTp@+Co#DuMziZ EQ1lQ݊H}JL]&.2VaiDڞ&k-L4lVm]ocU„?D(,J>*蚻~mvp~T?AuLHyW /RY%sbV}~i\&nGKYr=!%i}j0qBP[we"g݇M[攰0Wg߃+140dH&M9wGqy!E*"("i$xQA c(bdK8|`lDxPD#"ȳBJ[#P$h^u%l]_z#lW_53Sڵ=xƉr2iT6,&cխ ²Cn!šm¸6= *V+ڰJ =!NNRZU.m`91#ZqRٕO2x?GQyBMՆ=[GU q~ ebؼ-̓Ƹ6AfY;dYaw=:r7bJVV9mW)>䢤̹m_|Rѥ= A͓i_xՇ}{;~*1DrtnQ(oZq5]8uuWi~rޯaM99Pm9//;d7nՓ9>}Cju͓򨜻og^A=.r=D{cw{c0U^ݸi_zq^}jg-3lբHʵ 3Sˮlp)*5钉z@krNjuLuIuUUxDS٧EIoUCYv_ʓTݡO|}*S* ,{t\<} ɖQjWus[ThT;k@.j5iwQVTK=)7M;ҥ8r5ySjq#,ٵە["ȷ.FO&D h%]QXw]F.#Nc]våTU,n_|l=/HD~K+2q`mKZҐ?NKߣh;IH:o}#_7}N"++j=[$fE2r⿥(︅dhPa#MִKa5-}ũiZa[WGS⾿+rҺ, FޣeÄN)~lӚֳxݩb5}U/RRԦ."A$U&YK@ŻMDb%(|"jT ctZȯ3[Q 긫7-)4Zݳ.CJ=iKUi|{9NV]]V0;.+|UeGH79YUq[qRytdSJR]VqlOGQ15NKڂ2kURgWQ5^6yScaEu8g[VdVusp{)<* J |(wa61jråsv>+yZ|l0lҮZX'Ҽ'/L}t|;a7Wa'^ Vrv;U5k%>R7]bV6]fMz즍\mY6Y)CpoB,)b[|l:@U;,82|-2N*m[1O;{wP]I>5R{{N8 Rm ;tStUU~wą-o**z3]cD>[.e֍L3OAA}*ح/|/UjC6effHZ_{̖xP7>w6nS˜dDϨnثjVº[Ei޷UHX}YZSzП62|ل< ##co;dB)KҷMrp4 ̼ &+Xa_^WU1uSH<&Jx1FՈ*(Pz5RtrӵQMQԝb^WҬ~ȷE.VG̽ԅ6QQġ6M:0$C9OQE{YyzxbmS!gWuP"FȨj@,Ke^'򼦪%in^M>H-cVNY0I:ήJސL؇н;=K*h+I*/OLZE@Fz5=b_'z~Z\Xu$iBKcU%WJDJ6I9x3|F˸Z߫k*++J"ԭ,_k xlkn/il '}qSU`{^5e8T]ucՁku7Y}vyrx;[ rkTEͶrT&=D/̾4iB!֥OdsE):Ma{K^d#hܽOyGA3̋,꫖`9'QeYdwv {?Eiҷ}?cf>7g^U,c`iF/T^WWt|Ssٶ=HyFCaVfn54hmY%bF/J3K2жO4t;3ZG$HyX;avGOP3] 1LQ\E/Dyut֖ks桥d[䷶ RۻBSpָʳ&Z|/+>^]rmn4LU|y^%M}m"t |iz9??p"FI2u늌3 .umpiZ++H߫| ڰ- J5F?dpp']y_dI֝9jZ1!P?[}BMsGE3ieʩFm!V+p3.+K>þlj穤\_dW. + u[4jx+o,W7Rg0̫̍Wt] gյv\UsRUB| L羇V{\ᢓIѬ(=$Vv_b$ʤ,t%% ڀb\RoS1_H]|sJϿGeqU:>j^^/gF+2-3N"j5jRֶ9cwEKƝI%ʚ1*"oCij1c3!lW򳜥PTNӶ-Gӥrq`}J7~)sԼ ;+ bdd\wgMsh;@91GY3IޤLhSc"Ͳ)}-ʸ7 k׾ŵzҔUTfaYl#֊Q'6 x֭iSUؕ]g̠R'CڭurlN= D҃sI,bvsm4-N2'nr}>a8oW oReK 6=b݇֘/ȕ~WTuXП) |Hc,ӈ>Q%V^67KZcQanK0ѨB*;P߶st_cϨ Dձ1HMOz׵OJߊX$K3M]=ˤ+Jb֖̦)*p+Q\neYVPnk+ zDք742ķZ2;>Y\u}n9Sv7ʔ Z⓲{:fm\=,eD*waH]urJ,cʮ 2/zD&Em}'E/j7 R>E :8ڨ' dѪMۥun2ܫl ̠>|UYAZWzTZͯ)[L B+kdTyYrxsWg%UoXֽIPQҊL̼i]pc+Z=l2ǥs cyS^KD=i吺krz{U՝Nc %qm\qF|1͸-j,pU1sa5ōWrEYNofɬD"ZE=o^u{o|kƻZ'ϙ{GboR j].nv - >5)Ƙ)R-E&*K^G<2ڑͪ1:j[b+\-(.L=HTq*iY;W fHgTVMFE|*</uRLϞ!#e)UZw9lQ**Ii~obP63Q:h6{R=pӂ!Tԧ}i~ ֹ ΧDZn8N\ׅi^ ~ľT6 #ݹZӰY7KJ-[]ނș()z9.w ?QV"/f<#e6sΦ3˺ݪIrRҥmR o[I1-ギчT\v @jW+ tS̬0V*Lf@!Hv/[VY]6j-d^=,䳹/|5QS!:O}+^a^K[?ǗxuF@yV?6uF:16ҡl )|mb+0 TK[ư %=OT/@\adR65 j!@h&ы}T5f &wp\JcɝA_]e!ׯ:rXz8~_ˮgwxNEֿbUY7ia+Mڰ0kLļJOE-_+ƾԨ 0*Ĭn H㦯t$KSV&b5Yݦ}=T@lCtiQ+M%M%L\:J#5HR'i U݅jmVmo1.R2jR+J (:)h $ 0)r?6%/mK0J#̚ꨮ {>֢&yQ|I¿k*ΒpZ7OxݼpiN`6UzI,˳(^)(^ʳZ_bВZ5)]?f%YS*d5]aeEjAJMlGxkEsrI$)JvmmZבi~Ohߓw5I)kJfDZ*Q% ~ϙDeTPD'3+nҬ%oɢ{p K7}KsJ;*Z-t|JNս+˶4dv\KЯ=jK+JK_ rH'zV;^JZ;2Iɨ#j>Yǩ6`6i8{s0$-L>͠Ȼ*{VȾ= a+Z?-2<̚L|QYQ?y'U5D{o{w"҆ RSf}`b'EXU=|*/YPCZIiU!mvm#-򴐤 `HkVy^lK֚^ص=Lq6{9U{|H¦qhJbg̲-iA̸ҨMF/:U4SM /7q{N#Ҡdj.p'ʔFCu3bV8P^RO%סeue-1rO&C^vACH`Pura)w_[|Y>izĈuAx^1c{Jx 9OB ?We}fW}OLUQbt|J게zȢ;\Y@cI[9o y7ReaM6_f6*IkB_Քy_XKz+w}~/btѯmk'索= }7ޒ"ץtpշkuOq_2کj֯*5] GQ^7i+Խ."?飨8}ZʶSm0m:~WD\VZōHE+{mmYͺ %){gY:y2I`ÿqOYCe]-@|+ K/)T-:yXyQ$}hHf`BB*N3/- ZЮ3tKߺh1)&OuL;LSOk&Q¢8J?Ǒ^f:?򬬰N5O"([`^VYjEw@c'aח}Q'sCIY5Lɪm l!%L,cY9aF7U^=eVZD|Yw.x*g1Z y-!T$}#mD/,1/,FWG]'etg}ľUi fٗOꪓ$*'؎8js~H/I|뚤4nbGe]ކk#/IVTdw~ ڪ=֙cZV=h\}7d[vso~wx 0 TR]e]$PMOwTHͱO*2UM_QZqUu%eTpش`EkH4lc KP9[&cֶKf>[&U4))2mC}/u>R^gHQ>9'Yߣ01̒F#{(\VMC;kRѫ,7IUӇ̕;Iz1&FNڊXtQTQupi?w9ev+vvɴF?4ZR)sg,!'-.2ѱ5tcZNC:k xf1QcwئmW޻2JٺBL{\譼. #LۊѰf<w8yv ~^n05ҍԼw3/#_1*cnFiavjS$*R[6*Ɓgd6߾a7%yfaWRyNSweѯILt\Q5h6oT,CN{`&NtװnEyYB|ԧ̳3@>BZЛ xW lǫJ*[]lWQ7i7sě~JMJU \W-ژa߻[=JY͛IZ5>4x,g?Tey ^(ksU$բLAIzߺuZy! ڬμ>>[*:)Ƨ*&sJ|-}JFWfagF&):ԺLױm4I upkSr ,\*QEh[Zr?T'vߚGL{ ;'!h_+kcXԩ;k|T{n+k5f;E);8KҔOOuE 80*®-.ZW4 hy}wU0bDZO>-KڲHIǼӳH[&=tl$=mb/O[OCvU4j:MS$k[qw/Zn%ov75~QC/sKl?E5W* Y`XSKgy:Z%ӽ)j#YAFdkޯ,Cߺ݉lG)%ȄɞϭikV'\KH<)+(.{$c^qdMжKx17ZbS-Eu=#YU5Zyq5_ԥVUulX'L U59#lVQ}|ڬ* Ԗ&cN=3N21͂+Pzn9/\:@Ե{?EqDeXO5uFa\!ꊈذ0/C&KV( 6IKL5i]֮+;Cn)`ZD8Ymzaf^e>btt8mr5re؅m4~y*Jp9կ`eZ%E:M sVEUYgͬ {^wJױjF9IxC?V-c𶫊7oJ_ǡuTMYt=S%C{)*BzX+4OBse ad'KTv!S`Pu[Ge:@cS`jlHd]m l.,һgU!hZ[2d}<(,ړ1Exj~Oy,U ~r,n*rj[d2C0o6,z7I3b[nnEb$jSyT⮎"UF qGtbnd[V/j(}| -:nZRὈ*[j8Psu.P'9.Z_,/Ϳzu9?u}튒7#=o2LԆU[\y?bG6++"0b1@֢vMTRGtTafGjQ`lF}+,O`ߺ#H$,#qw{ \4,着78%jϹ,.fUUØcVW'dI6IM.*j=nDPU]^}YVjȵ/m.7*=KB$lS`-TUFe ?WͰl׭”ݿw=i@)uT}:V7ʾ 7ԋMTNRfkPk|(WשsQkƩ:HtŻlZGΊhO,¶}y$+BꧏS6%6R#Z:M*Ϥ-?g]ı 2XެmhƤ}OF(qS\Fm` ֙#`5.p.l C:Q]YVe>u1`k)XKIm&gG%$/d8:+ ҮⱭ=8{bR]gƕ,"N(޼k2<=-^3L9=Z{1tYE?:7Y $Þeh`;9=&SwJi[F!-]tl(*䤹OVfu|~*) 1BYWdCaYgf!ZN >$Iz,*lOD-CTYVKW-bGUr۷(kZgZuOfbvTF)UpSYXW_UL5. j=AjR\ijoyV"=.R)o}Lڶ/XWt-bRНјjnԧtlJ,,:N~oWtFe_0<]8|{nXo1s8JP?NԹ%ϑ7\Vih%+BMĮ<2lU5y6[r3=1qXUqcOM|Cteh (PoKHDZ\%TY"RW{6.4i?7Wd²~٥!evq d rRȥ.Ajއ٠yb S#Y }AqWF!Zx^'3CѾEI{/i Z;>YkdFi6J &O*{2Me0qR&\HZ.ϩwݖPq'ȖH:UTt]Yu)pq\U}J3+2e23k֤z' *āSvqcRF1 X3ӄ-/-t-E6J㸼BqB?| a0mVPRWhA˜ dUwAh奴f=`WeMaL^{CLLWڿ7Q)BԟͣZ'Ư3+*|+.L2hH+Ϗ@?'Ξ6Ҍ1 L*}`:P sCݹ] zd%M¾.m봭 Z=j{#Dۦ)=tF]eɾF 8#by};@5+" "ۧf]V&1>_[VeZQ6V9w[*Jzw!4OulTڠ1Κ?qMWHe1GA޹o}V5`YyvlTwn߳T֧3SZE}-MY^dV?e_3FMB֛ tA^_ܯB4),?]>6xg(~֔0Sd&-QsJ[<, _K.%#tVz໣ZX?$WQ5EݥK%)x#&Z p}| dۢ(HL&n3bI#V}qe}aVFErqq&SKULnSAiC"chbEcyqy_|<܎ڦgwF>WeI7Uy~\9USB57/J`ltY]qƲ.D Kc4B&OK^Wf>;FX[Y{`e`Г8wj ޶sWVB Rs[. 7rIM+>+υ:{kaH^*ʧ4hUQ: ĘP-3&-ʜ-wOXaK7,2lKt[vИ1 zT ̸pf-c}Cn>Vi MWj؉dB΃[䁧l M%O}olTDZTw^zi+ԚV3Lk[UҤ֤}Hͧ-M%]дͺbedp\͔nHΓaW6QrQնIuXgYK)+k{=f$թE*n î!HO+MSZZ:.zz4I/o,BKA~ȕ~ ڤ$/+rcdCj6vZY\~| |/u}tdCʴK.&ob 1S,ְ7ȴ!';бk'gJK >1Mu`71|NΩjΩ.bb&AHXUkgMt WQAO-ol!KTq5uY|Eެ.8$̘?![w[\v%!p 5.^%JڐW*NE1ct/ -Xcҏ1icJB`3bdw7#ЋC~> qTt)̻+'WZ]yJf)M8j{(IMXp+e֧#_{B'bNچj?%}s$*KVTuJ #MpajLT} jv;Ba&tj"9LlwT[{R#j[aQ (+h۱3Ⱥ=agoBpE)k=HIoVY~?+,?;6jTZmR1H2ڏ>=gEMe'|5^qچU~pQ䍦`_*ʭKTΰ"PV&1i5'uuFzUj]#DuEKg153|4bQM^n3*JjЪB%L뮋my,l\QUmR5wD\W,TGf=.qܜ2K]ν.i|˖ERT vTUVw4;N=bt6JZPc併amF묲л\XF`2FXmhEih\- JYR3`. jf:+cB*+{t0y& / c Ckۅ[tVɣz _7;iZL(ɕpz/. ncԶzԺKP&"8ʺbSk>߮SϥQKJx^&޵}^]ą kiWPVgֿ5ET\w/N6Ոo]Kg+qq\w| N5"}DZ\ iE0 þ%Ž|/S"N˒i򲫵|V,NFi*[IJ2d7Ūb^5Kz1ʨ jʗ} ~+"IiTFq4T=b%6^#,Kh)ӗ-@U5UZ߻E8mHl^6IarPZ1nMjT^qc^0- %OW7|Xr1mD,H%=V׵JXD٭+&64N5lT|V60 ɅOG5#}=}zuUGylGoz-{,b[Yj^'?s_ڲϩw2:Q[fQcߺ[J϶t&B~۞$zo:M ZۿE=6ʓ,:*p:*Iig~ b*FMz˫zFQ]IU%)[. nگʺx;Ӛ* LP$'ݳmjvD纬6򬏷jr-q$@l7 &_Y_ոY\FYveZ &lSk-onPǗ<zU{oW2֎FI~pݾ;ԑ4lkz/O mGETz)>?acrmm=$m`ޫ/oo?-SmD#{ku9fpbtK 3ׁCz{tg tuRs=@ϸ/ |m(Ow,[g|[Y`RO}$KRF2 %6X7|0M{ׯ΂=s~b쬶.X~ qju,\J3O8L[>Y**k{D&k[ QWռŕAWYՍ| Oƛ?v=Ts' X_U٭Z['t55nwy_rܬJNj$^M|Tu{SQdճn&r^h)n\,K(S>taTBL8gvYG&N c"1 4" ysߊ ˩o{Z1.ƍwUuz*>VaG} fխ^xՇef]T+촍RE~}rgi|/J)CZOñ.$nC}"Źn|ͱj髋䲩2byP3n_ +-. `> -Ψ$ j~5ɻP폕__~"""?kqVuzy\^Zwyd{Ҽ+P%i`;)jtjs)<-Yr-v) P32 Ƴ;*L$sH'YrW?nv@~5y{oqjkRexD' 0+XDH+F8b&H U1vtq^; :5O{2쬰k "xh4%M[w=YF5?Eg쭿Mºm{f>5P9r؅4%;-[1vOw|¤)iM6y|^giϹJwC\N"!:|t"plŮ*UnrSgߣvVs}J˜vug]mzXkkmB֩,aU:)MrYNQk.BIBzeZYױGg-VP u`ѩ\E"Nqlm%Yd=*8Eq\mPGް+IS:e}FppgVRwT)h6Uԗ9L~]WyAJ&%2NbJl"u  z0˛}ԳԉK"CG}ԥhi7?uMZ&f[MhS^ 1= {7tҶ %uHsa[^4QJv dUw\Qmz:4NR9)Ie mdɊNڇýՙ|򹜷r|21JmVԡhU&i?=/@q$PO\}@pAL~ h7hNJ3$0VFyBHZV]tteGP^,@*3ƂQ_]?f'JWUb*J(P%1H/LKQޅ͆UUxbD*[:2?zG,mĞK٧9HXǡ>rR|ƤݠrUC(|o+2˛3. -rk.>wU@\&4_vKD=/mdX~P&Znn_ҙlLǦ:;CU}Jex^[VVD/ 2o΋Q%/>WӖ(aZ(evr',Kr:v >41:hWk@Rƅ:L$uݷVG["n0sG?LR̽|v*ȁ@ZٔwnݛZf9YSWuEgyLaK;aG*k+oXPCk)6/)+uĝ(զu-2#Cg4L^?@L;p歯#Я >f|~%hyӶpYԭzrGq&jp ?< ȮZ).?iy`RyŋFAڂVNqU4ԁCN_H0i*Z:;ǡId~g oբ=EG]ĠjSu F5O;p(j∏=WT^fYR*hUYY_,F[Wuu r"`rw~VRh +ЃyoT+E8AoRk]TT%OHjœ"}t-w'r+cJfMofd'5CM4O^E,z\2k[O״`uֵQr_qv$뢘]_򗯉k6׭ SqwEx_ӬYwd)ib^w1\I'vDMU0jォv꣩HtVinRvIF!%z|[p7R˒Ѧ:Ucp>YUd[1}.&2elY*(,R7le}PҕE}kX6SluZrF>w/_hP:C~qI"*Bpj_ČGߺ1e۷*H/,**뒖]K5STFBQRe5&P'#o՘Lk͟v㿦=5.rjXf&5LL}ֈ'SҦE$kvͳi{^QWQŴE>TbX5,yML('aNudk~νͨPZ-J罯?4j~ ^e4I)MKjMޥUKosCҤ?5i2U[_5U{2ݽR6=(d_;*h0OSeXeoui>wt6zeehcBHmL m]/K/ڈw\5LW*IP1hiUTΌmMUeLTӶqz}vtM JWQ\X}MV5cͯ ,.&QbᶨQ͔j̺ꮀ7cvZuGօYWb5H򦩾y>H_֞*j&UOyKyM6ֻKJ' r1UqU4i+PXw9اCP9)b-yf_KiTu)V1o7m7V6bjXߓ m b* (-;HظmR^N3*ѻJhtYF[+`U7!tuW_Z>wdy]YFKdsG./uewSw겜[6)VW=(yQP5Mߊ*,,>E9-ڤƕ(jƭJDɹ,Ԇ&&XU%#P=OhWͿpŦ1eaU<᱈Wښ@iwy%{\w]5}2o}2l_v9RB\0)a:iH*K n^W:p^dw]+ L=nˌ+{ZdDoEhk65h cӿ3K謮'$}F6+N٢Zc\ԸTEsV`iiZ9ZxvL>NToST1|umֹkBMt'"fXmA% RZ鑈Q)NXc[kQq(]%baVU UiG.}y]u/+*?:%Z/%eU1DصyAU&:R''6 J?hv @es;6(NlQcc߿&?IiO%}3k3nكO|'Ao}) UQ~N^61_^[QFSf- c n 7H%RZ&@`\Uc[%jغ $HlvHeeuׁoRV)-sL+ z}ny\$cUHiCHW9jaF!`=*p*Mv$)ܧ>~p!fѰN٦m]HܵɮoZSCn{LE4I*jk%z.Snϝ8Wnt"-rXWa&.~㐩z-/;|u-f˼,_ |mLJ:ʣyR<Ӥoq3*(/**ZF%mKj_J"S7ұLMŕj6bVZ;MzӲ+өk੥oy>Iش]SUS9 ` B!3cʹ~F*ȅ|JeYi1VrfQSvu{OczkڇUڨ*@!0JJ,J֧PԽGtxM"R/FtLq?hus\G(lJ^R]ӽZ~ &:1ND,oN#MV5%gi0 0;ԴU}#hwUmfWX<&%5/gfMED71aVGVWӖ9N~2x>D͊YGy n*.JB۾VG) 7KjxngƗ,Ƙ-K󠻣smRl, *mR%%:H/2zZfrNqҞΚRh2!2`_qW׍} R͐bBL¨SͻcǬC8 3ȏ/ VDcξ=IFr5^שּҊ̲1:,XnRM)n+*QX6M}}oԱGBREM+a|oXgea[wʓ@r4K@;<Ľ׸ʿu7Jb'BF5_e!cW%9hMsO=3-SFȦ*־$L:6h~a ބ]v!Z| |=~1,/b]CnwiJqIlG^%(Z]eI5{2߮)t1 ZէL"?ETynUWҧR->[-x_@$-Octʺ0:0.CȣKR@pI\E(f3)5=W6@+GYgAR^%U'cSPu/j$#OE]FI{B'G|^ʩӖ\_/_3$UZ,Ę3}/:wsy0L,̐9,guFF3Ÿ<߰|:;nVekbatW%Rw-,мoquS@eղWbݰoT~}o]LUIk5q%͉x1o1p-*kg'*XAktZZM{}(B1rT)e$.Lk̸:Jެ bS7Rt=)ru9XVw]/Gbpw>a'EC{ɫF Z<2\X-Z&]ti?Tv JDj3nٗ 5K۔5OxՉN]aqRXZE}LBȷL\YԸ;"ƥkR-yS/BĨSJ2 (d墮 ~D[ݴgjٵF/=iD;nl\@.8)˴ʪ& ztU򟮉nSָ*kSYo+d 7nB8QF?5bSvݕK%?gxdFiemVAcSPu+$lP)C>E}Zg>v9_%@}L0kB?ĭ)l[TGGԮ'l^)K<]&QrՖizwˡ$rM:iVT_ZnXcKTEydde[eTU>Lأ@/{6Nj(WooMCvlT\'-J e-]TWFQv7-򞺰XN;: !td!y2rRg)2ɟz?DuWX*~uؼ1lUWLu*hBORTQ,%K2/5L乯;Su)>aekrixiYk&ߗxx=[@ۚ/jz ־ՁtKTy[n ^F< 8/fW҆5\6յo8j_:(Pȷ`'UWٸ\_(6mzvǧBMe|k%۔omnLcT)g=PR)Z'̖=KF%IP[YHY%@nwrE)a%vdH}?[fSUN[tyBSG@ھřm_$gQZ* HUptekƅpc$~gDvlB:)cmcWt6V ( IJbj&3IK5qg"˻\Xslk7J]˝fb Ѱɿ<]7ַ+0h(5Pi;:.~ (,a5$Q6+X5趡(꼨4{j:aLЛgaSm[5lsַՉZE8HK" 5ag/HǺp웂( +{S={&w|) ſU݇`\bb6dq[ͤG_pҵ>XywVj~-ocITdnIVMbbKa ۿao} nȶ*^5iZ*ikXMLP7iE{̓ᎣeI{|sr_&Y|vׅAacXYZ+Hթi5GrĹM6UZǾQ?&R8γD;fR{R % ׳3N:>7B/zTFѥKUd:CԹ7+и) 򽧌8u*Xuzt'93A~.:m-6`YK0"iw]*D;.{8nW)@\VOh_"\[,9+t2 CV&|V]VfbVdW'oR%*f>vYO(2j:R r&l+1oylv)/S|*^PPEDo$Kk!.2YVcUDBiM_|/ǀj|}*G%01lA@= R}l P}nE^ 9pP#pFU)"}EπNwۏ]>9[zo{Xk{{_jsջ[<]4fz=R]-xǻwxfz{m=m={6{ySve[ynwuU{]zַ^{-λ׷Mv%w3vw[VWg[=m;ooWsm6=vn}03ׯ-ox{.ŷ۹n};z= ouGnv{{vݯvכo{ZpÎ;ޘ6Ԫٮ׷v׽yP\wymn=}wͳXjuc]y|tޛ揳{2_y]|{Vx->[wyݻ{vz.NǷ;zo{rowsvuntYv9s)+{k{u}^z{{g^3neowO:[l:nq/M[O=V^Gn۷{vf=u.ܻeKvso67=Q]$$½fZ^^^w[m۝=wj܍gg{yݹ=\z{ڭwj7U.OEzM+{w;ۦ:{Eu$(9ֽP*>qcG7h>ͧ]s/w^ٞu^kg{-״-cy緻Wwm6ݚk{wϭw]>՝:m[۽{׸{z^oVs^-enoz֛w*y5w}}/m]絵k۷z޹{:޼yovX9Wx]{yӝӵOt5^uy]tkggWu:ס z{ {GO/k룣-QӞvw`ִx;{{[pJvV--׷lgv뻹5nj{i;ykY;L\]5\nIܛE-lk[TYV6fݹv哻Kn+Yj_v-_nZ/woZlc{vi{5ǫjz7^8>mun]7;==gv ٷ{S2޻z]yUK[{][>cv3N;G5:]fign/x=7>wW.[o7ZYݻ/v.ݶ̻MvwNão3=Q5ow{޽O^,^vk;ʼf黵.rvۍnw{]z\添ӻxmt{wz;on{ on姛ݽZ݋jfuUNnw^n{[{yƖmXծV'KGc=-5哺GK-5ۛl5˸wchnݯZiv滻uŭsۡs y\Vsv7s/W]] Pݤs{ˬ۷wsݻڄv5^wrۺ]nwz{qGw;];5v陚wWmius^Nn.vrQom睷7p;Ֆ=;fx|`>vQ{snۓ}mz hd 4h `0 0`jT@h4h4@LFL& *P0`L M4@h%AA `4MA&$D`Lh5hѐdL44Й2zidj&~2F&m2` hL L~LOꪠ Ģ##;ԛ$=a?T\M=s9nYd Bc$%@QT%@ $Emj-j4ڬKVڥմVE--kZ[JҠҋiVZ-[ejKZ)Qm-jR eR[VRګmжմB +"34OK23%=rC`!p'`@B>h`u0Q(PI0jA!%43#!̹:VaҊS0-5%N ݎ.91rPiki,uq xp\xjSmS`@6 Vp.Vi.@bb!خ K wS ,t>BJ;\,pR89{ǐpq.@%J""cd01QQ>n%ò BABGu  (`!a`S(8Hh2*QSEۢNf *O"NUJxPRoC *FKPAU.1*d%VWŽtCn;9,,>ųA332B`AvAyzglyx\Z\\k^D4L?]2hU'5%+r;32dP+<86ù??%/.ے8ZZWgѥ\\] k/g/% \ ]#F-s嵧K-Aۺd뫌kKMKk-0nn, +00- аvn[[|rD|.aFڗdL˳~u>mR"d9iv0C[v ~̂  NonѦM.ΐ$4,ul"ܗʷX6LK%VT=7(܌nJݾJ?? mK 7H游ӂΊVtnW}"vy+_99\ӚMIZa M2*WWpK֚h. WFtFE) Kt tՃe͹+Ss#sd|>~7A蜜t+%:؊TUS{w~-: %tw*L5lE,mŹ-e[ j]4ji^⫥j'554M(sBY4RK/\qճSmmՑ0SPUTs3.147[}ZYa:'-ՉBYeW[tiS8|0mqx9詿h$mccѱqX\n>ooF8#"b5f'6 xȈ\[2jpSWN\ڧ&&[g*/1-fɚk##'#.we5cSfn }L窏vNֻlh{ s#LVՃ{l0̾z=k4ɻ? Z]{vZ߯YO~3H9{]M>]9tF=>7o$s?X4xU:Di(NCWry\^7@ch7 &e':χpRφ9)ahmp?V³_k׸4 ܦO%p~<˪?3<쪲oFJ}ľĎ`4K 樂3{,WK|????r/O_n3+\pt::6e^^"^^2/<ӷ;zz2mcbF̱pcXأ| -e.w1x1~5AYh <9N׵MOrY9 ,~G`Ńt;Gy92o}̈́QovOkQG9M\qMD~/ {{@cecѕQ(N=-3W[f;yCVc,heK}).d6K1d${/cUlpljZ+i{{ryQ;S59vb111;a{1ܜLl}v9[)c,eHtxAdy6H ]w/QP/#ij5ښ~-롽𭮔 7ggiöR3+:+>ofM2ɵy[}ߖBFbnqlmMSmMMZN7j^ڿv/oѸyT9?_㫡y(|I={|,_? Y.*;}|p~uؗޅnbj[6E>k#_clGws$v_\-S^E<SD "8~,5HtDȂh=bh r "HAG?% =4Y* #DI2H`'$ƒbP>"F=="Hqdi?,vADQ%$@$aJI =pld%bHC9Q0:"qLbGCdAY+$BXK<$J" =%FAD9~JV7("Ɔ$A+%b$&e($D# X)& h&fXB1qg_ђOP~/0,ףgj7}Xl g(ۑGMGy =$O<@=x DDHx&I=ЂA DסK |"&tŚuMH@F6ZUV[Rj%km)KJkRT-V- j*ԣ9v!'yRC`}C>=퇙Ǿ/{܈;dRk\V-,2M4i2丬m:u[e@%lSxHW&3(o ullaa550^^n~g)i]v͊8^N硫|:zz3Rs٬{uV35UʫMڥ>^Vۿ)fP,eWAW諪.c9͂׫ng\=T~އo=\^s+^Y_kr%koUl}],P3}CQ[Xqx+-|}grf]j}^΢rpzhSՕSl /r6}Mq2n!0:{iegIYDaUApEFCGECbv!Cv<ez!B )B20!$=d0C!"EpD0@b DAhED8kD@pD |"4wX  h` BfGQ x<~C#iڳ|y,#ГB  c )` dGG!,%IhD=DC" 00FLJaKBh"n"p"L"r!B;>DCb(," xtD@0#!($'+"# ta$FD4#p!=B D>O!D$ HzCd$O!vR@8"(DC'B-PB|h|CI ЇE:0 H!CbdӅO!M$2x <H!*0I B`D oēSbA Ѓ2>?Ka,-d"PH( 5T4(ȑ,i NS s;! H$"D#,H E $"H0$$AY"02$dHBA2BdH(HDü 2Il?J!xCТ$4 $!$a" Dd "@BD D@F!" !=sUQb#$F$IAwLE@ LA"H#!?ZIbm6@""e$(@0 >PR  ,2I) D@A" ! H :Mw@V0 )i$ DD I u8v f\܍O@ I$F-az-&䄅HOdнyC ~b(a2 *D&;wОǡVӐ"Uc#p~~r+sU|:+ߜb6rs5gkv^O%8i0woU7Kswj-ƫ#?C~}n;;s@t> _'WoM/\K;F/ 6nMA^ꨡ)|^J^=q;7L烮>B{j<\w\u\prqg\̵Oj.];< Q%%4$Z' ̯Ÿ]{~7S1?n[K2l:.9 g?y>_C^|8*g~UOt{Q~9LE7N٭&jW/+[ꋅ7_6 ز{|ޢwddyn<][N+>Ce݇ymktzϹҫEtK[=6,Gmsp~(?ߒԪ/'Gښw|^,r4;}׫Yn2>O_Z,~' axy7u*/k;-ݏEiS̞?I-0o"f}OuaGt"=X!nӟcfO4Q ތKXvi64Sw.fFtYV|7%Yu,qz{^!^ڃǮ^c2/ y>V΢c#p˯2 fka85Z%W9Z/lOyr~oN7jld^]I]#+q^o^z VϦifz_I~u:>';h~j8m^lrXPN= (߯Fb)%>8N2ՌƯp"sYOA4}%KtSWRyU㒟)r{[}A{߿~f g}4T>q}$IIX'/ηI` ? +[捓[V1M~[: &p ,INǛN[gtvQ<.L@̷W[INw/]i<߭Ngsnߊ뺶!զ+}r#}҃KyC.Z wc ѢPz?מI}ڪfז^7}5"ŏU4ɤ:lK|U\5w+yωFMYU4jN7_Ayg޲9yeKԛ.yϾKe#:}_V+ǺΡzk?oJkbu+ǺCLƮu^JO83Oݧ+ '}j0U$2t^}5 uuL(ZQfrA!AQ`PTj\MFjDjr E %Jg#y!|y ?db<`56$4ZY!$$$@?nMw^8(ԪaV݄0A "B8v *I!!I8F$ &^O.CDJ@I!X:!6OE"I>x(vf>O!%L 0)L>IAC`H TA@q&(6H~ON> 7;aE9OCs`a@RA  ++lG5][S_%wՑO5{Y=ig``zְG)RӡQT5%"J`H${dOK0!A؆\6>"X!ڈSDMԉvpFi}K2SyODkITf-fVlԤG!I j-r|#뎧=+ ޶˨=Jr"KȻ+˨zo[[O|딻D˞KˌJ# + #ʯ:"ƮXGq4]EV]M)//Z񯒅.²,R'//Z= k݈+K~}(5 $$41s!LN "0UL$$hd@` "  @@H @a&H!c $*!$  Db@"h8gEsp9"  # V 1 Ud"P (PE,>I0 AA` " ( ( ((DXE"E&* "v BD`#; A`1 HF,gwd$d  *%Q !*,bI_2@3| u7};sa>_Aޅ E;;,:P=|2 @8$ x86BLI ҈Qؒ&4QЏ/lW]%_\___e\u__:N}'NΓ؈ʞ(UgozxiWտd"O#҅B (PB% & I(PB (PB (P¡BU:{ @"C(:!:!tNHNI>:P ttBI:_*:tӧO(PB (PCu (PB (PB (PB (PB (PB (PB (P }T(PB :u:t:tӧN:tӧN:tӧN:tӧN:(PB (PBJ((P2 (Ĉ  :! $:2:t?Czt_ ?C)HtӧNr?O "]E (PB1 (PBj(PC: (PB (PN<)$脟~C:tuӧN:pCN4ӧN8!ӧL:tӧN$N:hӦPBRd 5n (P!B (QPB (PB L(PB (P PB (iPB (PBxEB (PB ((PB (PB (PB (PB (PB=+)(HFrfrce9c%U}>QN_|j}i>̓9 #4#q9 Hv(}I!SDc>2d åHD))[bXxgӦf\\yAa4$Plc15guӯ$PXC!uxA(|;Sf>;H)])CHvD| յdmO}uU$H4A8'sF?SBx1rPd@ JP]AKOlH{CؘCۙVvP((P2B?D $HwRII'rg2!c MHHC$HIH2$I > =ԂH!HRHrPHR8a$R  $ B$I ($!"!$ Q2a0#'!I!(@=P~! (@$ I<Ɂ 8|Q XCHF I$ !I@) RD B`AĄbeH 2@ 2FP I$%#,R@="Bf@a $# #$ J,P IdHPH ( 2A$J$H0 Ąa(I#1XDb0ed1!Y %eaFH1F+)F1XaH,X̲̲XJń$KaaF1,#9@@@BhdP dFAH F,XvbgFh<$'V,X)6+gaf+1Fs bHa?&E,PX&,X1c!D,XE,XX`Œ p &X,c8M1bŋ+$% Yd$cެ02 aF$ `I BX H@1FwHhdcb,X`bŋ,#%K5e2cc#Oɐ&F1,#2 c;0[20p ac $a!`2 2B@ $|d!?t$Y H } !!$ 2 ?d!!_uXI;b/$w;H! a"NY@,z!b`&w;m 0 r '@`wA?v *@'@&pO ]]OA ('@;  '` N`(P@= a( PIT ]g7H~h> pNHb Ё  ,!;PAd'lNP ;|QC ]# HS$l;d v I"C|bA@0wGv@`Y;I P!  d|v$Hl O>,z{ uDR(@ ';`~\=Ær< ̀\w0Su(%E@Aƀڙ"$ܶPݔ([wtRYIB2K0-PĤh wh4hI+5Aո5TnаyUxF!;eV]BTYTa2۰ A+ k(Ƞȅ3`6jV#gaT24[NHRpAg& r1. (%jVT95&! !29MPaI мZ&s3)rL(eAAFrne1 p&0\-ۦ`jL PfRTA2 (uncQ`è2`"‡Uep,rOG  C! 5avM Ȩ!PX ȋ $ Π4 Ȳ C hAV.У8v*A"d'[Dut(<0VfDTn p:zLH%%jbGA4LoӰ(v5H R"0Lِ.1 &5ۺ *F!s'^!ףIW,՘ چ1h28HUK(V@-(,o'KgF0E`ΪVÞC&PU WXDib2 Tyyvș Eb+ uVD X[`X†,&XXj#hV X{4ztrFbZJ47mul(u71%2Y,08Eda2SZq R`j˖ɓqYcALT(93 X Mxa\8\Bb5ΆᢉٵDQs[B<MXmkSV A9hXhYiM5M(# мkYDxfkh4 NYF3\ &DvTpgrwoh'܁&Ȝ2Ȁ H!CQ $Ą @OB@ $!COrH'>{H@4 J;W)a+^VRuz>I P aG}:uh@ pnl>IEDp[@4{H0!^n2CR@ @%$LƴvVHx_0 Irl >||+&$Ǩ1!)V}I#B!}ĐGHU$@KHbܴ9!6[ `dhKe9CH|P ?!? !BC>΢?IYقBVK) X}r~]Il÷yH0qEF9Kb_ ppߟw4XЀ-Sր^{;A07q?%F Ɣh`>!;ɋ%` %!\(ѡ X".t4):]IB;c@\%BKl@6n 0Et  sif!24%|ȘUt?0B8r+[u.@.cBH(-9c oK@6]mIGh;%T>m$ ImX$5 ŀ h$9EfBf?0 KH`d FPGz_2 ґ\6&4m\Q+;4i5 &YœtNhs"hbfBuG"`?8h7r@-9aEOp}a't%qB ݠl=&Gr`d W[11q|Cg`dCyR0/]L"\h8, hXjNBҚ PGVK?mbN -•2T[{#y?JT4/1(X0CA u#B\V͔V< .RH\bXlK%'CE9[@qzOۦ Wan!$-?Vz @}d3|ya$ C@Cd?Cr$HPQ !C A!;Cd)vh8R bI!N1! ol00d>`a=k!>@Cw7B7êA4sݤ~ZlN$) RTH2G-!\%bCB7f8ӲHلąۈJ,X1~ЦuQB>~0#(hq g.#Rwr$Y8&lh:p,[@ !BV[8L9597$FpB[/LlAl,v60hbN/! 뤨1H`6#%v6##67FLF!8{FBR|sKv# &iFPA0/  D·woOj<{.JPKC:/4g\f&ʂ;[qWM?Hi я _n7,uCTI/p? ?By?!ZH}4(0dbH{!'tA$ HPMR0 AA0CSRHdA6$)! !!d )E$:8$D$ $FHI B $HBl>XCRa`ō!{r򔇊DԿ+k(ڤ]N$QifXLLڸb=)&񒱵')h 1hD+lX E˨#~n7;8'b/.*#km)ҵ]K46Yt A݊4ЉMS$m!z-mҙF_DkhD]O(mgφ8`h,ˉK%w|Х p5EmS?bhAvC@#TGmE8 ͣI\bQ䆖2҈ՇZ-, 844DRFm_`F|XnC[ zk^_^mi! lbBn9WBکIP8@Kϻ"'6Et6QXҪ '-G|FmQ.ʸL#Gm3B4!A Z?ixI%nuc6# vP4vsjUU6PaZѥ:M,K A$ivo;\1I*udB">M4FChF`?ß (@z)ADA SMϫ_!? v~0bjUEpGا].t8jaDB֖E<d`6U@6֦!\##Kw;qlW!F(i8Wk#y_K=q_{})U71ʮ1{m>|9C/k| ÒΑЯ~~C1{YV*"lr$Jj`Y7,U`.fh 8NB ءC~G,iEmGi_mwߟdiV"9ed5Yx8]Ħv?gVցJE#Lβ ܵW)vLUq.qpګ-LAWiTxh G` ]Z]Cg@٘Op!TO|AyM-h}s> LE$'9%bNT @+yI3(YVƴo%ۻ#MqN[d-tMX ft;84hƕ[@Oj7cT,s F'u \7$wCVSl#%4>VEMжpXtkc3}Koczq *GCu.[:L8\C8FP^L)z1\g>A!O0Y$AمEIϱz4nv]ݛ{U&ug"y 9#4H;֍[KvhQv7tEjETY}z'R09C)JS?Egv~^&e¾ִQ*E4CJ=Z;aǬV1/,_6mܸ[kVJ*bSt;`.@vɟ\}VS0in 3Sw/ cK7> Ö;&BUF32=ISǣ 7Eҗ Cp;:F*EQPR4A̝jJS! 4љoMz(~TP Sq"a kZgu%ҮDA?LE^*REk ɷl@ƿTg)b x!0Mw Y'BcOp|j3Z)Q)cjzbHeL/yF<;]B;PG&Us!db 0`*шm:vmJ(n.A 3d: : 5 pD4j^k\"7ŹvS8KiǎZF$Nj1Um#4Y5;5bwDk#&ƚ7ɯh38Nu`z5nl -;Cу|@ 5![$c|q*}S?".̛[4lϊ|@X-IǩrKzYHڣѳ2U=PfΘCЉ^Fr. h> a~kȤ ʌՉvc[& @1$GCof3`9N+%O%=C9o#>͒WȒ{ Pu&bdKVTM=-3;QtZ"\M.xԞĄYzF1CHB[;,z;z(RMcHS,qK2wT*NCb(@ؕ^gJrW|)ݮs0|Q,&CwW.}5|!>} }x(ZW1~zx]U}"I4m >CKUAаX'T٤Ϥ$AfeI6֫$!@ 1#ЈGN`B"Dmm"z%$,`hmkpx!4 u$<ߞ4Nc<ȴC#i$mXo}WΝrj"֕#{<@I?XcLήIɟe1 D6 H|dˊ]%9y*F1Q43,<}zC26{g6`4{B,Q~ Lqr?I'KwF?fX'01m x5ֶVypXOO"e~ѹH6 Q^^ayq0Ts&-]1E#QȐuo&7b.c`sb^c/ka*~hIAc#x' |ڭ_Rkz/ebN  c^ϾPx탌 ؑÒnuI =$jdPC- `BٓX =l)\`Ш~8A/A&:doD:P7,=O2FFҏH gg1m s΂Kh`{A4Ml7599RҚ٤p`2g[v@A NViAhl raU@@=5"jjX!KwNKz DTكj1Ϯ{LM>"l%n!"AtKnð@`$b Vq8$::#xi"#:)i~&\K!1lOtEDwhO;?wKsMݖ$ I7?LaW03l>@ ('1_pOv4X Jymỵ]J<ؘApПzL`~NX*R| r8; uAT~q"Q="ހr@,.l׷89#DM5`?=4m!K' cE˃89xY7yoqsuKu/.ČCJxD^*1~a#hMV0uDxh^u!43F[)r!3gxלvډ. Ϳ[ KnBK:$#n`o,|;> JQQJy=q6=*#_9SQJ(q&Lc.$_`:33gn8!J~pK &-cq:`-l4g@,jBδZ<ˠo2Qp(J`f.F9 YJ%S vsRA*¶jjc3^E6>0IRH`W (Hi  G˹ mrbҨE,b-˗s_^U)+"=H hacS h]X[`0ts6FsȝATƻ?)ĸǻZS6s Mc']D #O fܳ*}`$ X2c-9k w-TZ[+l*Ie#^X]m"؃`S8Pzoa:+MԜHu<Ҙ-8U&Fn;h|obcø8U1TJg^i۳Ӄ7g 2[O0㩼❁-hDŽ8$'z7._j #cHL\V["h[r;Ǵ $>upM^8~a-Nq#ߜq<hFz͘ВһoAO>w E-5LlY|J%$Wςe&F@{]輜(#u 5L Q)ySjSśr"~U()F:LP@SSFt {0MO_$;:M!~X˘2CkE8|M4ȑiނ,#U;,] zv$##F#!5bs򢘂D ʌ¹\\n/Wg9[W8#GH&H'9j6K԰XY>1hK$y0] >Ը%hVK \^a~CrO}W|7CZJ7%!kvdV\Ό(H Jڠ /Ƃi@<105w i7α!G)\Q 7.dL;*Ǥq<;'6|x!n%c9s`J@Yōymᆹ%qrB_!QELv l#`p}cdpl"z:Oa*=aբ_!D RlëExd ڛߖHE{(%gD v5L=;$@a6Je$<('ēΰǰrNf~bMWBgTç{{~ &|JO V6~dR#D`` iPY0?s5.gMqVRX@M+Ԝ{&m33>6'=x'V mv RS_IMUY7jHs*KЁ*'g-e';'9.J*gZ:[񝡬ˑ.B9MND bypGSd`sjX %S |iyIt]oU8H䟗I'j{ eԔ,Q9 Toֻv.G+LN҅6Frꎍ/i*GNXt铊χW]. XԒ?QF ѓ>ľ<{;;)_aC>'2~0075sǥ[SdαX `Տ-\> i~u|IQ?ZUdRn 0PsRYӄH- fϰe$- DZ5v,ї>v9c ІC A 7q ?K_`+ D  Fh*7%_iI;=i'xM+䌬h"h_I&^4@h̨ ) `Ex|n{s$y&Ɨb`'"QPKܠin ׿!$CđL1Ҡ **B,a%$joPEx/,bW1^cߏRQ=I7"w A&-E1pSo5R)x٣kќK[JGMšG~څ|RLig2φp H\9B 1Tuϣ"`>soxVz2  D'aP(>H|P$RO*'~W΄̾WW 0Z΂XA0WMpvjRX-:{." I>f H_'^Sn#h,]&v}Oڍh *כ SK<[@.%)ـ7kס2o@OZ95&[]J+KXzS7zeH6ߜ$x2y,F_Bgk;o| '|K$,(c;ׯdB3:'ۊ-N\@sŒⲝպRhK 'QPKt u-Qi=U>ɺR:XqM4gwm:c3s4QH}#rKpmK4KH ̛tPOG& 0>➱pA7\en9 aƧ$NNb1 9`C4Td)CR H! !ćC``! Ac)551mgѧ{H„Ł*mGM-0>_Sq?3㦩%c -.lW5bȱ"1c)=aTf*Aޝ?̙cpc%ET{hBB6' 3?^ρ?[|gߟ2^kH7ї>FsW`ƣ؍ T}t4y=vD*z"ܗ8H1_S9>[klJҵ+9r: ٞdVv_v&ɐA?{ Am-yC@sܑ~ AԸ phZ?tպMJzD`O{;;?F қ#+4d'HIY?$+լv"U8A%"wܟUeGBFnnsF31(qІ'0)4o4-kA7`KWfPb,c>6C1攺20CD0sfMN'FBo \?=!L튴;f8v]FP I9-|'t`E"IZÆq71q$ Q>J]Rtfd289yj#mc@ЧfEQe?&Qb{5'ۀeH#f3 bdoO3-LնDjAq"W,G9ǥV{s Y48DMgw7"&eb #S4fC4 1*9gr|S`H7 4KWƎd~XthMjJp<@mpm͎%,sNiJ-J8h@3BV%G"Waֹݚ͍cY /Z^vv՟.Dy-~űt 6wEko5/"1 Us1$ Q%+F1Bsq DfnקQ!YOa.yMUL-G=^9#HR5'?wͪ'SQ*O >t&$ H3KY6Yb.vNt +gm-<ݟ`Bm2<%N"B8#wJ9-qFx`А'\RI  !ϼ=6ƽ~m6JEyaLޤG )"<+ zZH#R}Yt_yAʓ4GW* 5^άވdS`pov䢎eJ7HFdf }k|;q{)++ƉdA#GʹQ<6okTi;xh|јgwY/ÂJl\Xy0o(#w-ֲ.zr,7}EtB`su(]m"#QD?]N$oi$rc^wx/|i5nyKK"!a8w֒jeS*8ǚj6j4?@"?cI~GnKX^JiaqIJ/ 4Zv47SU\aM>m_ΡBi!D $wΞyH2F! A\O-tcHyq H6^cGM܂U L÷;.t>DU$`ܟ=\"b ɿaRA{r"ӕ@͡gGuQƔ $.H"wroe+ωВ? r^*ӎCnH 0ZH0I C(OA0}<'OUK㙈elzluٟ㄃M55H4'1sߓ5da:TL$ Q! 5|+ A #PodXY3gW;`L ] 8=?)W8 o~ AaI8, 0s:7tthvo2֕[]MO4R*4mg_,Z+K]IX@yj+ tMsϻ'5ߩ|O='|L'xOŒ?\3GĘb_lyrG8"l Vq=SOk= k5%YqArH&!'0+˥ L- X Ł@ܰ~4 \SѪ+Lͪ՛ iG05UuCU:\"g@Kh!K*|mVjeK>: *@ /|S_Ρ$yYa }~ I +S~D/8+#=-Eh~ 37%kLL<8HHHCs}cH$B (0TTbJ$ia!* AEH#BH"X $1DA D**X*((EEQQTUAA"EE #PQR(Xb*0PEc""DQUPQX*`*TQF **AT "DUdU@QE "1gkfi: $zs hN0;qZˉ B; $4CRIݐB CH,$M!k'zY)=NaOJK8ܖIXD 2cWo=ZBGxzR`@&"pmH[4nD K_Fvi5T6TgCihX/~F1P w27c>K=ȁִqufb6ƍ#DB efĝUOŤTg\*v"n+AES&B _@dyP}<Ra1x=_mO, ZR}yY:[gp:uew~Fd3`/ ]p/y$X"׋+ [O1C1CH#͓qǂ(:,DېEFzfNJjRlD@>wrɾa7C;~cW$7ZH`l_>[ G]ˁlDTDPT8Ab=X0o.>v, k' $R1ƑBKf.|yS!,b\IQ1mrG?8lG&THuK3jc&`+NL$Qj@nݜh*y[p:2yݞMddbs3QinzaSRZ)HLyX a?Fm`OK'2=0Xxw~oѩ 9"Al|HuE)F x4?%|{o=}wv=T^{b3 p"Nt3!$Z {5,߂0-=Yd wTZ/ os3T=FtCpN`%b9xeKx|a3'Ct)l/\~ =~>z.)Ao4^>iʰQ_A/J\cmnIz,V+T`!B΁Cia90sz^?rư"]s/R^r(|!QMV{&1Vi6.5"d{6*|trLĈ[d^Cz*4A^qg:*Rj A 4osu #8xrpDG&?8x^D+6c_'ȫx:F]v^X=Ck^8=*JW&W%h8O͜?taYYǐz#jDS@TràD wD D pT0fCd&JExC)JbTK)UdOޓ ZǎI:p;C, b6LcM[Ӓ ` b}L|SYҼ/Svx_=FʶW 87Ho:sJۘ#$˩0]Ro%a uYsed;{l8ygE\}dyw̻l1]W2#fogT2qm?EC`A5Zr3?}#5f9߽[gujYD*DWĦ0uO}iv[ 7^Hm1M4X*{wB; B"Xulbڗy,1.-JsyC`Rfe4%Rɉ~RS-࿎XcټFdRj7*kF\ؖ: G:rƴw̥#;L{m5v~gP*|=X;,4 Oz/At2*'ov:ɸx̣0u݁Qۑ~X}4  {L1̻֙,p q/Hr6Kbw^8%^t{{Z'>Sa&tVŭLD}cRw?ˇĞEX|:2:"tp&o% dP|p 9]Ė$BP !Ѭ0C$8Gh=+ϘIʴ`H:OSb 4j J[6ҳ:x yNek(d!|k|7]2HqO^TB>kjm' s}fkߨr0#DrȆpH5itI!sM oDzwok'طVcOb;Dً-qW5*94"KI}FZJ)^6C`&!SB&W{1Lj_34e MrjE՞1U"[v$w$,%U8뾇R Y83 !.lrsW]Xa K]$ᰮY&S =)p{UdG"a$gHEP=+ƹU}|xbN*0x =H̜#0o(; !}=l ]qC`r!Xw#Oʷi`ԼH(yRw]$*FT RE,rKHH=CI X\ĂV0R*U<1٤ݧӈPY1N,%UY|ؤ[EhFMRr(,OgcLMW}ȤiH}R>Mq4$U6bUYb`%[Egfo; R^}.՛WA ]"VgrL2X!JNC|JoeYK 4&dIRO53N!aN?HmAIت-LW @K>wL9Œě CH`Jr)lqU hBsRg3Wڌz\PA'n`b:z;~ */G?@aN+9-Ź$AƐH4A ߛ%R\4{)t7*DƎ0ғt[kH̄7q6k_ Z6aqBxP:Ç ҟs!ME<\AK+1J'{ODiKCaR_b`S1?Rjc ˻૽a~ l@6ELe"fE[<A4q|cl{)a@2smŝEvJ OT H Yj7лQlP @pD9OɌny3}G2 ?%\𲱲 ~8K5Sz~nDu`أ&NKsㅲv8RƋprWU[|6bz&Sj U}\_>>X Mաs>XHgǷ{"6uNGBorL%FT͍fZs/w<4icHQ2 SzDcZ)O\k}+ߣ啩a%0B[%%!'qr)J ǘupm Z1sf9аulϡLrE"ԅ`9q\q&Ӱ39u`l>fR_ 60;3/w_DGez>%+Nrh)%J(k CT_ˤE%\GIOʋPs#Gdɽ29:3لϏo|RJc;}o٦5Ϋ(9r&cۜ=QS'{b6lFmffO3kN ]?[z(PS ۓ/G58yj GM(螵$ښ$*2c5?wGϛn_[:TBM9u|]  3LA-o%@FP֣qx/A3BL qFJ=8[[,e972S<r>CM։ѝf}䧿}T/՛3V2' # ~- %8̺,}& "xhKa., _^[-aВH T(3kifuz6Ouό;pg gy`0D`"\xD">)EfF牸4\(^ꎪCۤu Je.4=$%`uSزK%12p -WA܌Rғ˰\qm'M0O情 APs2 \ (%y8ź(s1 . ?Ǔ^&53Q>j/pg?Xcn{ Z6% 9bcuMd 5IO-Q:A7]|:v{X#y@KJ |v)iF^B8Aܐm`IDbG/H!$Cw* }WTA6DZr00W>f)Goš.ApK3fF?ã[hƕB =h <qNNgEg(3xT?˜rD  $9Y_#ͿC!EQ)ɵ#y3mv )V F(ud@r5)sX2*l C|,@;IB I$j県މTX!0_HJ9>'x0Ydh3"w[8H-#ʦaЦ/du9,#(g7"#T64?!욊y"Nu1 "$`K)Sy]m!lZ bxZ]xGh9ebkX@;8B װ_Rb2e2 `Ո L:Wqt{͆.)piɀL"1rR@r˥wv-m^5lvƯvt=8̼:|1LUjb.(,MDFh0VJUj-! cAܬ^pԝHqͷt><]ܳř҈o` ,x1rїe b4'3㿱y$F> hE8i,u3w}U g##taT@ dbS[ӄ*F޲B <+{w`*䫣7cR\ČM _N={-]̀',$ْ,(vWC`-F Y5}.y8 I>A(Zyr%!m0^JC=6/HK047izH2rVJScAH 9N vZG_7yg{1qg]E`؉#EXWI<wy0ŋ ,:j{^y,a{'eGZHrfW d҆QQބk.]cuWll_.C !X1&H ot ݅_sW`X ֒l$ph伒|mlX Նw? ⺚Cz hKĺnV=\g7삔&RET|#!Zdv?$9舏Zo Ĝy`EC|rÂO>FZ)'֓(>z#n.SJƎ2S{F9ӌB ډx C@LRT]6lj!L v2SuYv Pa s ^!RJ@͐`YLm5Jy2π=F%{-"0ڜ@ÂlG^,͕dތ2@1kNc`_=UO?LQQۦyg5?Xy,Ҹ/SMP]K*ޫ;Dbteq(UB1..̜H E`5ѓd6}"=e8{DTGy(8tt%V迣]fk;Cd ЎVNG[8Љ*@If4 hEhhI4#.hC HД)r~U 10Am8rR. %‡ 1ƒ1y`Z>dryͦTIhqUؓJb5e%|澱t /-85FB-k\0?isb*kصHCf";ΟdW޼aޱZvhEEt5? ζ9 S bǜˌCY`BXck-Ѕ4f픬kAp2E5pSKlIcS cD ͜HS,d Gw,>'V'Thcч2 z5u|XAAYѱ r'&\ `dF]'yF#Zp_.;ʂH܈IhRJvHvao1GꝜdjL+†Gi.`l<< ΔA{͗=CbB 0LK$4DmHi"kw'PM'QS-5d 6FXA // 2'Nc")@6 &~5!Azy f\[tKoc(f]=RxN` ڤ(42@>9a9zi'ug:m#tK&L&"d/5{{8/li ^(98(*x L2|);bm2驡|YX ܇dm}Ft^z u"5㎏4H pb 0bdʈcXMQ\AHfd(Tɋ>ù*. ~cY{QF &֌1Fovy<}-!TC'9D?SoX\!%v:]Dě^6[#k)&@t%—jsW2䲁-6q@ɉ3#Ͳ?ְwZ-8ɇW$@h3p|vlMidaI_4>u2*O$?Sv=(Kwyh+V LZI1 0(([y 0`#50x2бR`́:s%(Z1w{yyTܫQ)(~)et.Ht8b8_>2JPBx;)̳+G{XDja E8o&.Ijqꥍp| _''zR QyP<7 7w98:˙A:}0^u rKwnMOʀ#)'a脿6^T-oq)kJT'Mhdls0y,j9T**lml\Ȥ 86'}ӫzrO1<*$ɑ2j G \)n&UTPL%j**kz9> ?eC^Yr~޺P̓ko>YoV{xvO,t%0DJ̡kGV Ɯ}Ȁ=OL+$YJ>Sg|HEf;AAu5)l= ~Ng?ҁ{zȁGܐDX|a?lGQ;V cشLRF8s"ZOД&pS2%Mox{272P . i[ɬ| 1.zrCYYI/Al6`XP.yI(Z|%/DJqY$W(A 3UH:rb-쓛t q 嬖ŝZ~4[BqJPa}(+W 3|cՖA!Nw:a$X DOCU1=ϫUXbqU74Q8vԓK" È.̛2+JIW =J`'lAu\򑍢}u|T-&d Y~JzΨ ٦ ,Geu9- I^U) t/!Ic~;vщ91&"H=rf%%?)m9ihmM5mٰ9H:‰eS&.%ʭmEƈ;IS?*%͎=-R9 A 7EFb~h1Q *+]2S]@M؞)xa zsqT=*I,tbi`tixgl(?ڒ~UTn+[•{e)Sr)މ*9DF7t`z/M `5ss\^hlft4h(J ͩM263 HL^N~Gʷn-]2&:& +c*.:XݍޜEIxUvKdhMT-#p_̊+l*!ޢAl%]FIc BJ]\$)Fl c"_99N|Os1Ok^Vy|kUtres1>TV/8膄cQ4Wd!VR]T&?J>1 mChl[)5F8tsF Tth2F[2.)ٶ#l.Kc+=ꭕ=5j[@ò䴋}e:Cei2+MY8-f:7s_#[ر\y$1n\mv%lbe4NwnmfZ2V ]/3H1%;ͶMtʏvۤ5T+约H^ lnyX40Di( =t"ILN38mcYMM4+WUV.^?6OX-+ΰ~FnmE*U?p*KO4'2HyU>%`->dh{a]ٴ~ࢀb̋2K!sAM 1E!ԮPm*9}[}R=79 \فQT#4?šʀt$;#nhUZպC!~>z93.]#P_2%^=PN.x>tR)~RJС6`B4@&&ѝ* ݪaCB;~A9䁠wY+\Ʈ 'w-MVJ)cI[V)nsfUWcqig㥕$pX7%KIcм< yTI<@j@$`&Rskw}v aM|1p S4 GG3RƞzcZFH/$˳M͛$~6;qJX0OAOt Zq,aDCN{XWlj[ 3pYpQ6)”m%JT;eYfDN4tjB(6x!޹Nebi14dz]~#D !ϸyyH1B2Y҄6w# v;B'~&hDìo^ZXxr4iMi=^Sk3h> 5Ӟ R$ݍ.hM[*eђ‘܁c0Cf@LeFr-- Ͳg/:|Ǟ垷:C'(C.K:/\JqQQ. [klG>%($TgLR\,_!ό 5LnmDo}y:ƆqVl=9E]"p35ce,ӎ8fae ؁̈c ^MnO+DgRn%FCsK|5(ꛙvdu]VȪC~Yvejhr~YKnOI/|Lt>9(3ٙ"3atph,~6ePTl*"brrTB}hݜ5ۼ,\gtѓ3;KYþm1Zeqz#t$=1eoO4h$b0 ?۱ żM9/P?K9cmVkr≉@Wn C$@xP?;F|5*%%`/4[ q<1̦eᱚ/9Iuz)u1r#r+u7` ~ Uv{Ifn#M0$C?$9d K^WT$r@q!}vNPADYnQ"&eԨllh\[Mol #DӈOv=.  LbQЛvV-G1Cg'H6A qU@b[a$$)~iu^8n'#v~ԐRy{Ywt"9N}8h:=m_a78'uMskS7QB}K dj7#!QQ%G&_қ{t9 \M-M@aNNtNJ[Aq4fD0zIP"hCd&Nvf?~9?f~i=3-3(dt:&!%EX(xDbH};)*|90HMh}-7Nȓ/&G5zrəR@ vL -[.a.&%𳥌 ;hWՋu(V{6@zp헹$k)ߙeOzNaSl@P92|Ið, G0|KJ6G*_ޓl<7s0F# dѩ ^k[H12GX :Dzy.қ Iqs|xyUs {$4 q:bx  hݙ6Up@G1\ #}"LuOY>1˕80cę6/ "+sjO8wLyaji>"p=i(=2=|s|Tyw\@M$StvYJJ7ҭ[MA4t=C>}0 ]nA.AXMS/o0+Dd[vE$F]֫}7Gx tK(HP@r]],,R<aZY0\ܬV qVpATҤע $ fp`Z钢ݤq1|9"Og.UE#ďl0$CY;UԄsqfI3V~8PMѸCәE.Q8d E"ISОj=!,eɸ}/fD+}[Y&}auOp0 پUxIi}7L㇭ a:ąp?PdґTKQIT0 R3x/tuv'MfT@j1jv_64O1&:ۋ˗<"T4RRsAI&1 \.w//IRlˎ6mn-<F!(j %'nc>k@9)ʈ'<,Y37#4\&@פńAL.v N0.^MD\[>WUgM(1 l[Q8JhQUTɳ?Y3}=>Ibh Q ~S rx8̠ODHs/RsD }S}tJA(:Od1Rf2D'dĹ5zl3+z.( koOCWQYntm0p"tZ-FT7m>NdOLU?Y\}&Vxg>.SE3Oi^Vuj}&40cr};eT6tv 20~3"D>@SG,(Mpu)R`Bι^A9o8Ql)bA:B$vZ!n!t>?2._]%ܴMG9ɉdNVd3Nd^=i  PO|S.+N_B#75Zչy4G1S-v@StO h'fBwhZG\޷hڠd^2Uш4Hn\?eݏV=BeYM;/zT-mOQHdWKFq*hF-C {5x|t,JF-K}w:%JsFNA+&^;h?b_OSX2 b,HHBϰ``1EGC`$#&$4ApO˚{.ΘZ8 I kbC"J&Î(Ұa9± âa7qqKqs3r3(eSIp2cX1|i1lT ,"ȪqzQZ!%.(mFK!ӧ[,xnwiQn{r 9fhH5oE_/ Qo{:|9%DM`ͦe.sc0eI ( =k'57(-!UF C1 0`Z Ɇ)d9ssn3>M2P/،!l9G˻?*sz'OQ ;Kbx+5xKUtQAohn|] `! vgEHd K@"5pb3r)AKSJ1a*'Z12pJn2o҈If?(b86] e ֥iɨa#aV z  qxSx -E{,x3"/ ҝ/[m&*ρ$spȑtg;[s4<=B*7M@PSb C`,7d^GCme QT(,"|<$,5bQ&<}$k1o ؉8pa3"#6"AD$s ![M)Nʾey~/Zz\nCl aMOck=w?\T;7|x<gLl~jѸĬRoۗoꋅ-p1}2Tqxtj@RA Gq9ADl6Dq:+T>G$E!hv^O5;|;Iސ)$PNvS%Bw $%-v7y_ntNNrņmhvN@A=ݜR~ 4&Wy_<[4"pG1E~r7T1&Zn?&R<Q[K 6p?sUۛW[kɰ(azsQVԣLPs]1y/)LT5KQ3 uUpU y"/p Y(',sT*GEqfZ" o60̱q5 y~Ҥ6S][Bš4ft5@q gkzG.FAfvMDz$Έ#5;$~=ixv-M-173=c\xvFFS,5)'UM_D}#b9[3 ÈdGE:LzJ,4'(.Eo E űaanCi&%顔 C$6d795]2\E\ ,F(؞@K8JeC~b 0L__B 0;A|͓ Q-krM7p~a]{-%1ԍVd27̔&Kbc?(7тf7*%ê (jQMQ.5?![-zowL [=vTzw$z/<愶3?2E, d5!`Ǩ)۬/J%5"(D5:ع!ٽ1%9<0!mif'p *xm^LKyԎͶ/~X'.MA ϔf{2u zKBBJ%l&{(Dž\Ɔ0&Ƀq *y1C*/Mb**@R1GHJ8,3N7iҞe{ iiIXTNiL4κdUa:K+dHЀ؈t~GzbBn@(%~0X$K _oEizxiF[UV*sBJSp- (c}buϫ OO0g%IyssbMn a( -{|o Ng djM*}zї)U$b@dz8c3b)D  ~!Ͱ&;#UB?(H7tB%K.`GeF2ش+6tc8ffztZnmY!2%hGmS =؎;0+ts8|u:NUhl}aLM\jTy(임я3jTgS52u{Hce !wVTסEjx̠\x`Yn̪H6]Rƨ)xq5'"I:B`# A1 5Hˉ2c7{a ǜFDLXT!MV3#&q0M-+t|T h;9@͏':|jTҗo>,G@)btza13Ԕ5baQHO6i)EqnđAQh4XbH'+ O̚H_zC q'HI{Sɹ0ru4ܘs \m\EaUa(bM.#c;'dgŞ, rK4LN9!"װAd= 6gEKWVvˀ¼( fY%5b\m؋#.H4׿sƘG9*M9#`L> ="v$ojtEm%xu KVQav1/X3rcZv[&썠JT D^#\̆29 ܻ7(%ǢaSq 1#JU3>- >]TBtD]ip1ſJss $ ء 9~G+j*R48Mc noohWڍ ^iA;4jH$5x/‘ɮ s6,$ >dNyPxm@b4o6E>2!y㉘^)]Τ_=7f[kuؗxfNWObuL(=/.\i`,Ǣ(w/DQ?A4go2@eQ}1XxN*6QEE璗oFZ)&Tbⵔ!!aSZ!)D¸ C8EԷ®s))pRny 9T*k'^Ҹk QYA`C3P3@#4L 48i`j/c|ߓޠc:j6#B6 W $.0)tƅ Ұ) `w|D7RB:T d :{nCbYI>1Yqƒ1#K; $ QpS m?IdsAGAϔvzNy6W˛Q2\:o Șce0|H{QMFɔ`D? mSG7k*W(F3p/'VԬy3B kCn+~*xFPl"0M+a.$@QXr]0CN'6LmjhKPNdzyAX<MF-']7W3z"~MDTL0|1h؊gG(}d韁ޔ6$P$rT회ܬgbgck0 b ة *iI:lZI2יMa>2*u,ԺaWܙMWqǍc\qn5W^'χtbVÌ~q#LrSGDtv&| IHahbJ; vP|cerz<j?0JBY HD,<7%=|$bĚsft<>)2?&塒?5ȲC酻L9f8 OUDW:`C8'^Q#NZXAc+3X~bbMe;ͰL*CӱV Sdg$.EHFvIleVȳw]_Pg,IʔWZ6G Q`v1|8lA{Ci+*?$:G a1Ǹja{v4M.5/709FM]:\B3R9R2,F }^!8~{Kc2DAo6BvꕶHŪa#9_љu LY-< <|_Z- q=WjJ>S.llk.4R8|̝:19"MM!RX/$R')y{d%'W4^]ߥCzA:ҵQY=a#Oբ1@ ^WmJ BoV\8e̋[ a$1x2N}a:J8 ,&t]dGTX2BN8Ob..Paړcy("}CJ3z)1MƗ!lE4 WCin'Q2dӄ.IӚZ٥% m[AoQѦţz$ {ɼ ,5|h9N9!#ԡp<.,"-s΍?m.70VE Ҡr4 {)34S1L Mj=-Z͓JJW̢+`7XȜqeb j1TN٥KzJjLk ߒ,Q^9;;Ȏ`@3ЀD E3)oԢ6h#̚- |Ӥ2އ2k h+TJ pΩ[ dlϖĔc>o<ª|Օő%N?{plF~{ :ez) &QAQ%BZ7i IK+ThUg`b[ҳ͖֏GrT۾Z&:u* +iq-vt7<(9.w3M'ٶ6@r0P>y09pA I$XFwRxzy*$%JapC 2x`ɫGIg=8ah΍xb5F:LEFdC3ξ"BX Vz_#kՒ+]Q _c'eI@syB{g eؼp#ҼmOSE*,(}7Eё-U (Y i(WчJ5s 3GG],cA k,QW{w3Yi0]u=#MoVmY7!hﱰO>),;"h#ߠ4SQI*gq"YWI&,pQ0/X)6'ǡ%z}-WMʏ*mbnk$̅qDhqxŠK@1M?4RCؼֿ2n i gvXzF8~}l49j]0o=䍬dFswCp7\;$䓴e̠BKTxy`?8`(hգ8;Gppu(?w1 8oL5E!>K^iggEª: b0LUO ^qNtUKDMΧI%l=C^pl(%|a8K "u&;,{2^L[}NReBPA5QLES; Wd]tk9r5o$Q-̤R18 0z`:2W8- l`]Es/` ?Y!VrH N)uI*ekWz1LMDz2 |ba)YWzMdZ頕݄;+WU]T[Um1MRJ9:N 4Cܯ?xyb,-?v^Dz|'ݜȞ*5*1j1c*{P4%/3EGUD;7?4aGam^1:j밅ba nB$W9Έw Aj-_lkuAHa~bɕUlMoq${xt#-zǶpYbnc*/MJ}B*lCHsҢEkBvW׋] HhwϠ_{05nE+| F. D̒G )V;%dux8$j%;u,ɯo|axXN8S֍Y [a⧄!g͓h6 LڦQAY>ʎia${{\9[E;ATJrJ7bQ:Q~(zkRttbun&](bx&^1ɯFݬJ(rDNmTHd,OM\Y Z A<ϻ=+_񯰯h^>]'_6,Y*¦Jxg3~ Q#+vWĢKKcVC S`5J&7bL'hWi?Q\6|"赕_ю&?{4bpQ*N fVcgcjıPj [D0 D`DCSB$!Hx a>r/RqsK@ Ud<6D1~a%Hy0Y`8Q$C!?>kY.( *1Wpi{A’zFtbS$76)[3/Jxc 'թܮ?B~j`HHH n*$ufS'ѿR K= ?hiWfpmE|ݿ4j[:A6˼'b==q53H^feZPxXƞC<E\ PlaLDuci XIx4p3}+Xƹhhf;cd:$e&΢//)n^^򾩙8sOR 3P9#G?S71 :H7E٣m2Q֨Kn{Bz~U̕Q8t4P]2U|$US27 vw>J;BY8w V !!Z/`Ka]$8zmxm^.!w>5=9G9 Ųfg5q\؟o,A nILIU(U%0ݛ}r_ޛ njb% p(- 6O3,G|30j%W3,nC*$ x&B`զxd6[ ɆR-¿f/^þ1~Z%m<"6Ncho{~b$XN՚D~P#4pfZ M3+<+AExbdbgFun䠠F=Eb6YI /V XLZ Q`c'}$]6b{iHAl5Uo۾:0J&VlIJ1ξR`Qq^cA(I .Œn ߿C} \ber7G-eƛnDvӑ2;.С^L؈yP|)p(OpzT$rOcIQoJ39#֣$&(U'`G2?)33Z)JФ8nȅ/ O8r(~儆e#NIj SNBM^Md#;k gk Fxf!XNIf'>E#U`M Dzsi?pF yX_qtպ龜H "Krx7pTznع.{ R)Xr9/-z:@e I͋ nu’#>r>\eLlJc2:+#&iKЫ%Mn&,i"r9ց๒v p'65 sL =b῕zx&\qaЌanqRs%dQū\`rGPBy:eA`cffr92>޵!h'd-؝^< qPCV8Bi;iVNRuԂ "xp`+CXm1n9~=ݔdc|y$ɫDS)Dt|O&%D)i%kI+Y"aخhuܪ}hjg021'-zD(@WD돍乌i* m RYŇYhvPG怈FW%2ŢITugyVI9O`&tGBi'G* Ŷfʑ;b[#DR0τ^ꬬ4:G6ah-8(ub%O+D9g2Dōb'n}ѿE"ݢiWę:x9NHDA0jStVĄ54MsT%')&y=+Uq6ibZEgŔL̨Q\C74AqAÿgh;SjD2€ܐ+,B{qt?&9q$NXBv`p{;@* ;ħΈ14 D ^4X }9tlZoJs3(pטHBzz4Znc"iyŬr>1Cb޵q+sh9ts ќ__m(5)g]*x`A[|t*`Jh(@®T+Cڷӊ= 8sP)I,u}0oYl`˜';19bbTQĸ GL?}`nUTM 鈣5rKvsL%K_CpOvlYh< ꎱ{JzCJ@|")FHG ћ:џВfKhSf( $ȓք}?GgڬWwh0mե-yJ[{Q`A{2je$:B%'a&ZU$#0Λ~eP]0Tm2t#~'>vy&#a/&ϙ-e7 NIvNp^a!IXrĖJ)dKq+I'\KrCV׸e2u2V+ԞF8~ٗ|R hsV/͆Zƍ+-2^Sj#Z?WKv5L^7}'iA`L/v2AsĔܜ70UڻNl8`ŁAcJ4Fh.峰f^V^fd$(UB_F5H'B2B46H(ښT{ cs ۬4k$F5x0藃fG:6 d `پ'% AiHb8ok-C5%|R,=(["ŕx"2s(L\_AuiTkR,( D)^* 8C}\wf\d"FeJ΃FmmTyw̥ZA®.UÙ LTawCegJ Ɯsa:Ԛ)A akђy<EFo{ưعvSö^ f=l`DFŴ4SK;_H`ACxm6_yi"%sK%naٻvѨϾş^/%u *$ sDÏ1=GިDJJP7'7.12S(Qk!zm]Ԧx9@hK0hvSG1'҉&xy a]zqg=1@\EBRջnDBb Y!O}AbKOuyKl}۬p gO ?%<QShܝTP"9c Jk|'(u6eX $0bቲu8bO; _͔P]Ēfj0Y(欫8w _e/_AETO7)QZa4'\_gs;^t&ɃP`bB2NE#b^gwYZuHNC~DhM Tvxf]DM{wR& -Db.`3M~EK"go tZ!Mp~<=ocg*6 v'j`ж,=#jV= ,dr\ ʎ"lR [U) 5,jO3mœKZ|"~>CG_~p-Fl*FnIV}uݱ"jPeZ'MEЇ1"xO VN' FOug]hh扱9[R2C [r 1p]eш%LP&UI_LS$}ڙ Mv(5}~QSNA_잂 oA=Ԍbݐ^6wAsR˖\[MM;Yߦۅlj;:㋤HԸNSmūm}Z4rHAIK?&/~A)ʠi@HvWTOM[6(.Ao3Ԇ1!B4$:{ˆXd@B/OJ:c Ul~y2\ffD9( CQw4By @y+۟HvkT[}/FTA|j-ISҢQթr,,S13r,oXHֽ#LHסD^L0TyXkŒ!@F  (>6T#rG_F_>(tf"Xܑ |_vRzٚQBgLsck* && MR-ٻFQ+wCwuC(#ddJF Zl' qCGs]?&rqcC'Q5ފ#S@c%I 'CГJs?8pҩ%ZE``:e$WaA/0C@cvѝU7/FSD B &ɟm69 _=F7I2%JAQHeYѾNGh^ g6=ό 71&Y7AA*fF8H1*h* ZqQ16%Lqp^I(["0_sy12K:ٌ6b&mdmaXPK_jf3y;919հq=aAo3 OX8jǒ0@ؕ n}gQ0u$]SIcrgYSd?8_`ƊPZHxSp?Mv#Ns+E^Gv ;~ղ+ z=^eWRMc7/) Ow3Rȣ%lZĝh1vW'nֲx \2%n$+LԳvǂ7C5wo!MIpx[#RkȽ"IQl3zFC=@(*g2"TG_Aι0Uðsӓ}G}cׄh^Mywfݑy6hCbPURe*h2# ~~jvku>ͥ>KișUQOAvc rĎgVgd R<?UI'ڼ!ǻ"LEȾe Az-a?d| k"n^a@4:nZX H* 0)eM{"}^-9'⋌`.?{3M2~QMiA6m+Xw'ѾQ"Ure yJ!g p*FR7) !.=]~i>=Ն Z{QVQt^:PE}T(BDhERI=оEøeaNͮߐs6&rfffxMyuCQ+E^.yҰ㌵=ȵIr4D6mIIc4E7|zX_'Jw,Vu#C2B?1 6"ʕF =_;ӳ<u[dWp+k} 4=݋ uS;3e 013)i0ðw. YsM"|gڸ.H LE<ju X4C,9DVg Lh3AtxIyT$WWujfɱP,IE#<1Xe̅^4c`UQN6Hp 1ͮYnH9nL Q!~V4OI? |8љj")$gTI 0u}|Y<"kY뀽V0.Q(/@3Gr2VGex~=`T&~Q{B/"+*l;.:&A,Uy[ow/B"pppP00;-L 6"|āІkr/MdkN8?{]eG,N!1-%TC=lʲŨTԑB$ΧGɪ{Tre2TuFK`U+;Q+DcWp`([MZG4kA4B[Kb^קҀٜ9Kg84wX]X-l:"z4 *y.K60 ! a a! C$ h~D@0 i\nF.DRC!SPl+{ &w@75.bd᙭!l6m+űAa՗h5u SY6r\ȗ5P ػJ 53'">a wtE6]l,(f]Xj@48u` U^$o`*jBֲBЦJV33L P`Ye *D2fBy`akhQA;QڇV0A^[uCt " j1uC #ia WS &0 &@``jPdspHL%!5B@APFH`$PZ dm'Ƿ *l4aecBY[`$AIldU R ӈ Xs``qIT !i |(t)5C4<0 Zyb8FR% ahP pʀ3whh9X(ilnC)q•"daH)4uyٿva,b?Q;WMgdTTT9jӺk0UYg(D͓_)ȬM\ "JI-Y&bt( ΢vܭxV1޴fm.K doyAFqY2*sjO@ŏP *|-A0YY(U3(GB+zHϛ+~ydGWЃeC3WΛ+Xb}J`=fJ"?e EbS` F8ˈɃ-qp_V^M!gPK]$%xA HUIT.}Z*p8=j7S4Vs3JLJD3o[5R>8O{?՞c~IPjHQ\*Ӻ A~(J4ID8RQVe"D*j'L Np|)CRu[ h[g=E%Ţ$Brg{4z}6B) V(a&{K4M|[k#G=%6.cK8h彄֛v0 ϱxXaXnl:E>"=Q3HB?7O['Y%^hI!N<8)*FM5.B4AcH|*5Y3X42ݧ?ME4؆Y1r\]T_Gn\[E|pY9bWt7r|>w@Lj`, $Ί ']7‘MPBXkQ~*r"i+:H=9mO#a _MW ?:XCe50-9\(bSOOG q%l;& .D2pGh`3zHy%&pb^ "<GF ^_.bux3D!b,$)!ARNg(w; A+׫+?0op G)=! ň鹻f8e6dќ=l"a0gR'"DQ!G2N~G G}!-Qɴk 4 "&4QZݍڌbKMzH10)!?g9x3(02HF-Ei:4ĴkV1H1)UÙf:QrSDOf\*a9 tbp (8ա) Q~ŗRe'HI! }881+ԟSW4y"0B4~ djcQ\1bgĉ p]5 RMG< zI \dY#pdQ}B+7G5fHiC@{TQ]7c"\pʱ>]RaR ѕacfR`\ccHaf4 e-PĽV>1ܤG\i>1&֜ض̬77,CYOLEӠnq a9}) kY˺'($ !ʾwoL`Y}e$M!a9 BR)/h#&bBD2WL|G:W1Ҩ״bښ*nfdv3F6*2#f!HNe3!E頵+DێQ+II+HJ?4v;3J+r+AWzR(?"QhK%Bb6"/~K-Y1pXd&)%$".}Z'I ?At<"&|Q%XT螒,xr6 i=)}U.$0`ޤm,Yvf -:x@"%Lv#HF4 jF7T`aɍ9J60yGqIW񠶜OpY)?@KtXN4M .V!xLks349h $<͡vb FDjG2WQy&&DVڬ € X Z)r%Q$<IH-82b?!! ! Ca? A$!Ha !>lB߈`"c%!i4CA#.l{.Q`ʤ C~W&>[J4wėy4 j7W38sMvI b3;^R*_ S1U"4F2CѫFsvquzQ\ݠƚ!=EHQPyMO:߼-b/gz+0<2J~):. _u $I|ZlV,)¸y"n^Q4C2%TB hv%DI5ls+𷝧&4m#o bSv4ՅѥGcmz0\ Z`M \@ k,{eM]L.}f,@%縭^!-KVȿN/:vSAgbo CG$Hlf6\H`5MRA{Y{!r`%mܣэZ- ʡfx"&0Q[RWO{*A!ڧ GIW?'l>&Oee[qQO~ Qݴ{7)yOh{W5Qwigp#n9⌰X$@ID/孻Nb.>zׯmGeёPtBāB2H #(!89o|\cpĻv{a\z穗fŔkmodfhҍ1'{fV97t}a?rь,!IWMm'Y#|7L[$F< $I^rp|@8+7žs&(Q 7IRPf+Jj}<.GAC(p0.5hq*^+\Fۼsʶvy7*a@IXBPdB1 @S#AAcX@ԋ`"#"$s.@Ub@M&2 E+ 'cRm5"qXkV2!հs\'cè4&+⛊Nq oD@*Xx?Yːv8ηNyް2 - v|Pr䕶ɰ.^a̰y-a[-MWv (Cz*(s|#lB@Y&nQPf%a!v] &Z(CX'98 `fvMpШ eUEQ1;V[gp0r>!50.9qqmh:=oM,Ih8a·.3p8N{̕ 0 HeY2 -nd朘 \Cne0@ J $*& yo1 H21ra8C(,l 'PirD3ZXkS#P" Ps%LA J* s1 Dd3,Z`aCX VfaM1 254i@Z\3!r-YQp,Fb˗rbE@hPfX.psYCKj5 PYtu*Pɖ3Y A!`LAF5S(X-2 \CSRqn2\ֳZn\T(d2"*GF؂85f5&GX5W5  P^Mo5F:Jl!tX lGs{}vCAdayAMPof;z o2ט0s i< ˍ^99 le"yua@un@z/[9LB<:rC0YTC`.%VXc"0,rw"B3EGV֌TWZcxvZ;78^Zq8ݷ힇|JHutºH,ΤQ!d[P\zqmxB jC m!wfZ " @B`Bɾ1–^Ih ho&2vvP8q*04\{h;CJ,@&'CmQ2'ZHBXrpjD:O +ZhI[ԆG//C*&F<~ME}|¼Qi(=Nu҄7:1%Ѣz1MD&  c>lzA}o,+}Sy0|> I2)!}dATm}0!PXۗ1x{O>wsjI4ֿ 9;㹦&`:/# eg= #Aa(مM N8DpƔIloIo6-%+y͋ v9~< t}3cF 7Q=BAO֠fb47ҖrB1:if3,m4/-六ΒD3w}Q) ϖ1DeiPb ̹T$< 0u(F=EzY|h2Pfx 44PSI/ŴJӕuZfG~i 0cI5ZYT |^=$L ve|3[iokA9"`y!A.-$((ޠ#FC`KLC>`EFZ8K_v584{on0v$1\( mIy]&밴U)G7xqxk_c\Z-Y^4u7'g=S0szJ \z qg=p0GQ=?ii9]NMnV敁x3}~Pաv#}bdm& k2nG"y11L5ǖVQŬˣd# Qiц$`G27D \#u"2b=8`DEp#c!?x_v3 Zcu€nK 4ƈ¸ <4DG@ƫhGÎhoĔXx,

6m$܇\Na ⑑0b6d񔖘Yi-"t%rE_iк*A:]r#BvOE@I4rُV:QՓ6H)FhtYpgxKgEL~sˁvR $qE>>[MT iCJ(p1d}BlHW9 ѭ:pN龱N֮牃 8w٠bt! 7s9-$XaiS-&}ҍ'|Ch1VZZkژw#JV3-H^TVq w0dŹϝz%#7Pf쪛RTTH÷=rIϧ51*$`̪qTQE\H]hAZT{C4xRu?NJ2dr\;$SWA"V[].y.@lX ٟOwĞNǽ3ɤH)D` /)u8|?AP-bv:\T7%rhTLfeϖф #6d9F J0XV  * D`BD2P*Lq T)$`0db-BDIDÌ~e%>C )B/?p AC:ww'p,`2NO~F^Rw!ڂ1( 2 A"OCh*0X,AXKə$L.Y(03% 0BF" aHy VM!!P Y"p d8`1<|u>A{[R؞2?ɴrͅZi5 ~Ycޤ~rr7~/ZًaW 9XB8W'I:9K-mOݏFo0k7z3ͷ>?)U\ e+L&\ȡi [H͙&Ti\Ia9m#l>HZ'~s8(;$'-h\%l vQRF?RK%ҰB b0bYpfy{(&|G;Fh$)YYUb)>@jfsҞtuGAavCnS XNc]74"Ī1lyx[ȟhXt`4"gv.ԙ[; p@$8^ `6X` ~{Ԏ| y1va%(o1 H#l[,>;1e}ӄeL@{y0F|ym`RiN}gF$<!uZYQ,\-Q u0~`DV7do-\4X.8Zw@@%:'-̠ԈO(\yp4Lh:/hp4Ӆ Z .vbe`{JJ^;yI.7i'MSx qkC *SJ$3<29R7|X_ _4 @ eb9Q(ՈAϑ?ŤS%Fl^ gQXS#Y危(XvNA3hm $ylQɝEYJ$/6m[-+3]Hy?&^/ #`+t1 3h y,weP9%L'qK)g ̡%lwR%j;V`O+ɒ:qw[zy*YvA(dHͤ$:`jfvz$ f {cVzK ~K >jPLȔ +)у\j+&ƾ xTA'P=DSexyoMaa5js8F'ek t"a$`0d?yCO4C`(X"CdRbU2C+ *,]R fT2"*E"PHAP`@TI1̠DDċk,Ug~zNaH,A+ THe)B, ۤ*HF !!,,O'Q@Hmm i%la}%;'!,& * 4g鿏\&?yD+mz :d^eOvlk'HkZjj̮8a1WaN_D0•)TnѦ2@sAwwqp5"!O y99tz& DgX7F{ t!n@m]"0Ig0;tАD tmbf'|#o5CNilnbŲ53iڅJ/ +KlOຘ*xsš Ư&R ! D{26wOfD;o&4FnE7oS+~7 HۉNDyjw6c2X[؍ gkVK"BD*C0#'=/AB aE0!o,Bx<'Ό7r"Ǘq3r رrɯ)vmI% 8l[Z-DUtPZ$֥,٘GB=@3mH$.u;BVzFQvn?#dy/!mnpV11Qo,P1+6Rf0 $ZIRsgvPZY5u2f1$yWI T%(ZQ4:0F[BZQBzD`2Abl{E՞.z^y~$bZmuFr=32V4ֺZI$T?1 #" %#65X9ЉrF!k 8m/py+XvV=IթIsIB4 ʱB w.J 빜gAMU8wPʔhrTg"x^Q-us3Ÿz]L̓GP.1pf^Rmq2eM=DƬ( AqšHS W*9췈zV!#;bT'Gg,"6ۮxFNj6W,lӈzRzxeGN&+؂a h}Ɖ\S\3?TP_ck~âO=/!x~> fX..ifP#Q^%zv%4yߣ`e`QE,Ce~GT/^ DLtz[0؉hC Dy!Xбʸir&opE űpd3"rir1xTa3Ϋodʛ s?V^ |̈́40_dǍ4<'  aɆ 02!" dY2f XaA!pAA8er#45)jfRgTÁ:ER v\1 qHͽfEZ:UI^c`R hN O|>7-JO?_{!w<`QUm!R5AH{s -̹l3$ %AV*XW,EQghUvmidP*EEJ˱ET*bgs%5L(RhMNMی5 VG4)_?m<lqrS! Њ!#HdNZ >c5,v.LvLԃU!|}uHAt!ZH:SXJ-DiaYwZΩ[ggyᣨJ0` !F$`$JptJpT΁?h3IɤfB$cзsrQ$ptb/&-%ZT5jL &K$ٲdNyr΁m%6^@Ƹ?}Loh03dQ?G~]䦉2޴ QskZيW㑴߁o*E b1e莹.P Al,J)nAOu?lZ h 5<¯,|nFL ̈́V3{ i8?U߇[̟,J B7t}u\dVY`r%X$#hIUʾ_Kȝ6EHy  )XX[v:>3bDAD39Ltz&{EvX)Cg'e=u{5-#3gn=BB7MI/RTw*>(%9UHM>q1(҃EA^psz:Zv̓ZR<1mE,Q]bVJxA4,0%k<c'~rsݻv۷N8cv*;|_gvsf=4̥Sp@NBxhAK zl1''Ǽٯ!wO>m$-`q/ϊ+aE@-IfP_.}!JuO4h4BcGXLm<:ZtU| _: "V[MHTh&]ữ91_n3 @=~1o&,?'e˾Xrq,MMJ"&{y%~  @aPYRcOo pqY7R:mXkv9Z0ٍ2`K.{Ɍ́©6hM_=mpL%j@cK=?bӊ(;̀=e;} EĢK/EJf: T/W&w/Y43ԍ׊2$h~Dߋ27pQ=E|."n$-qϺv؈`Q:DBs_ w QZ&XT)Z^R4ԧ!&/'p?i:i\1mfDz2]~xeu^qv3__~]۟Q" cίp :›W :rpPF Iq?CBd אqĩ^ZR b1MMB4ki6^P1%s2e%rʟDy  x&(IEבkMžvϪosr5Z Ԇ Jv˙G'eэ``*rx>FZoþ;/VH}L'cvx Pˆւ=BMB.@e!bp=^gq>|v"nZ$-)^ ! @?RA_OϚ\׻"%{e2IyOIF-RSiZfc6Bw]_꥛t+OeR`CQ[T4KGN %|ΙM:pt8%"NrF)}>;Qα ;TcgJmN3#9oT;e1'{36j.cgqWc(q46R:i(%̛ܟ~Q.|iD0Fy$4LG !ZHįv_ <$(v= \r+F%zAc(:':kwb%.7ohq JrI+*xƺu6C `_Q `hA A,$.S:^j(3gAJɶ"s:Җ0 0e3-K]MJg &FK}Mk! gQ܄u;:j\Yd TET{r4Py/(OĔ\.Olj{bPu\Ʃ̐xXX*\}LnxX>vC B(9-}w]=z(Yx:wF?=V%EAygBdT ?L\=ηg>µSeHSHFfC+Qp]zpBvhf|f5ܱXK&o%+ة+h-ڱE[!iH%xò„⨃, 0x#iֽ>\3_UMSZU/ǧl%zwþ8Mh6zz<_suk#؈bݝ+sV qGPA3.Ӟ&fOvS[`/Q,%$35@}l)M 3aVaPsoC^BNZ#*A_f;Z$8Ed' j_K 2?,A.NWؿq5& {ʭf9D)ݏc1n3.OOo?5)jt޼wFustyyS,ٽK<M?SK*k[Yk/2[z []~*oe}aW^o1oFſK| {n\I̍G-GgD@ Lۖ&)JJ,z-qFd4G^:*w=(o#Gվ89]ףX|-S$OY]sv+{߹ }jy{bݟNͧW9?QKt];(ŗ‡Ovz6NVΝeJ/INԘg,F?ܱs]Mi.ùtԽl&yΏ3Z6tL77|lRjPyW{ N6=ƻAu-B+Goc}2 ME;Ukzy1#1wV5{DzC_mċ(,6  rk 劽eLVq3#?h97wf1S\j9'vE=+x\5Wa.E)<β_F@ pb* Qؽ9F+m"q"TU=,|RZ07oKit ",GX  T'd}HmS#>QEcQMw`:=\ aK Sd.g&pc\v #IqK˫!g0ص36~ӧ9Q9wVgćoğW'ⲗIwa!6s뗢TÉ v1 SIIͨOb:k6\ =|FQbeN-Io$[! >(}F"99>dБUD` c9f"eo' oƻO?n]wn`^a\ _|gPEܝO^wMBfbGp^n7( r, oq̎x ˱4XƇt.p+]d!-rgL E [ Pe+sy9Q(ƫKq 5B[ַv.xh^1 p MeAJ ق#4e7jtr$5z*M Ÿ\"|ǎX~U5|qO.9mDrmPp'F;,}`%-& (@r3=sӲkMc5[xH).&1&{o&GRIԇw֗M;>>A;3w7S3ENsϹ;\^`g\. Ԋ\M;XJbW̾[ re5" O b}Vlc[-U~=T~ion13˹ݯ!-2c l("eO4֝V#+Dtj{Y3M\48[]d3i}5#yR;^Go;~^{]wr.N䙚GKPݻQ 7W ;k$ϰ[? ҆uws?@A020sۆý(R'8hd2ҥ 0rcojX _] $ȳʘ. r\Nΰ/ʒ)qd^VI+67Yד̠wc(K.{3P:v:8%xy=sDuښV\^9^2OIY;<0 g_Աz0yѸlIP}sʚwg;)ʂ+]?-7'#PYxt{~M\NfG|}Ue~b"=;•zaf;o)l׍\iҐrz)9gLtRPXgox^Tlڄܸ Kl{Ο2&,<߫!S8 /McIAHSȓI~MϾn#/M"(w ]uR)#+7r:\U4gi0Cvlk/bYhu9oe=h?z g.6#3z?_}ynAJ-")C׸L%O-5?WSM/Ycgv!/3bʳ+zo#zcSg9+|c-i- ~#;RcX*S' mvܐ˛Sֻ'i@KQ&c7Y/hbi*:ѡ.M #lo Ax_j7Àp=VGjy%y]˚c!6E=XV'P׊\!;d:>Y?E9 iߞOag0j5qdeQqy 0cf,ճc;<}pd\Krxyf)1vY`?a%D0Z\R +g顎``\$~ʑѽ3-p1+i1c/uSMф NjNxTٽZL3*pI Qٕ^vD%!)rr+x1gK?#0l;w,$· X!|#r&4d);ř;L!94ue cF2\?&aKQ*We~T^U05w_/ eOd?[gg>8/Ay/Bw@׋EP&Z/VOUO\IegǺOȼbKƉiP4~;s Ĭ7(J+CI.frXݺkư[Sy ϻAsƧ_e,9K-FKw?z?8mc'ǻ):s=?b&5)Hlq|֢SϙTv뷼9\WO"!n-իv!7w@U*F}GAKD7ctvp`6tbƾ[' |W:|^-Mmd Ԙ]'n}9V&̆-:- &#AlY4g-{05^Zkۚv0ORʱIzҒgOu=#9H9x?Mp>?S"OaFb_*zxO<2R^bfكͯ1|NCI=[ a$Z/ԥ])Y<䟍KRVa>06^ pL.%y]10?GuAڍXaaԔv?Uvs%wڿC_|rIA:7g*`.vwP\8qGpٿO9\"&5;u65ͳE8N\ \ր0rpѷN|;=A^Oi7$L1n&]rR nm|chOU9D5cDg H@Xk~bhNK0_*Hda/;Beڛ`^w8؜6#GcMZ^mgW8>TuW<}oO)ӬU2:旎f=&OPpc4{i1zcWnO;Or4uҷ඘NyʾZuw(Y1S/vŶz)leuu}xŜM_d8PE_{ I@:&+ |OVJWBXWo ʻ>W0"F v|z񍋰{ ^[5|N?xe4*AbCH`/xY2>H$/CTBqq4 8?dN[s5_922fMrdn*vA%q*~e/&jUs0r>h}4'uas2dV>m-srd:hGd2 \&I3+e<\R̊1㱖g ,Ц4nYѵ9bO<Xz_<沤Q|.'cp<2%͝"֟u#/Y˶1a$5Wh*\1S].:Vt:Zwm\(jV\~6ў/uou^j9<+~ْD!LvZ": 6ux Xr=;3yՙ%;,;{{Ğpk>ȐIcUC[K7k[F}U5J(;䮓xV]\Zo-46:ffb=β6^'=;k?i;v6qh{?gҦBRh>?]F)ט{~g~i7%:2\q^Ni%ŵT!JdvyoʽucXr[]ľ<-Z(j\Χ^񾚔;z\KBAy^)S5ӼYoBus29۲eY%y~ȕ}ZFq6?ܺvheN Y [C[B[LQTpie*v؇a\v:ntWeVXt׍Y (J*Y}[ƫn:|Wn6;|A]1j lU'rN4I W"|v--Kb~ ש]lv|FiSY]Y6 RfUm,_1eω[c=E1@3t|O#ƚdkm@': oqh}b Q]6YǛ. Fr nn(CWKd {OueݺD̝ն5!>2f=Onĵ?\^` loԳ;37~\]cwUk"x ^%KN;/ {-PyV6ƃ=w[p!,NќzO1;>v_XU/ 3ֿ~[& 77Zi|)z-?rW=+ho;7^W4}g)[>9:N췃3y:mmWKn+K^w>cd^a`Xo:6ӱ ihA3W>YxP^,F绘<^S7_TYeMg&~<([/|WEK?w7P:y%fꄨD/O7¶.x~FG(a7SgwwpX)AN~^zoWg|wMحk]_Se{7]WN=^?qϪRtDOj&/UJ}ί|mGxE4zNcf\NJD[`9.j]+Kv貗dt3Avrh%_^*H[=mN+?F+'ι3HP_78&lbIcȎ&akWY%躙ۍ—I-PmbR7}^z!7'轑4o'\{ˡ?~>1Ʈ?Ɇ5ܿ:|xM$SK-!QW1*TE,q so2_[0hMIS6.lt ~+5C?Ecegh?? Ԫ5iϝJ3b.J4 +do'KCw]eq~H֓?i%Nnqp>ތ|׏c_?UHP|b#[Gە#xyD|IzN\Jjhg?n)nZx.v"9鰜nf:H)d&SakWq35[Oekm8L_/]̬|ѓ(a23 ӈٵb=֌ ̨WGԌWW굞^A׎xdP%;2\U*9%)af)Bј~7BSaMSfԸ*k5B(Aqٳ\EO@:A}-|bz{& 9-WW]0;Dh-lˡz/=bA%]9U05}ͼ^0g^[ӗk澷Urb3{:v=aԧtݻf|P-ӻl*é\3s|+uتתE\-Szج3y/kU%?ArwŘG"f[L-Y-T5h|ywr v?:1E/y}Ĵ۽Vbeu#2A "R&PR2JLm)\'iI\'=W-$I|wT/-nyy7&#JJu5؟2ƚ_8a ,WMaO]3IY=ۋ-)n퓦u'٢v އ_=;:Gݏ+\"q%Кd{*۔O^InbIg )_5~Qg~״+x{OރLzғǢƴI}$WcqWPG z^U]%-隆bGM^9[^vX=۰yzE͆{fS/3^FvuC r6bhU0osD冶G7CYzUD67H$UǏI]^v3|0J>b]Ft\BK7&on F/կk 'E`ĥ5pMGB{GVg]YΪ_(vU١[vwK1,& .3[nl~]-3\c#޷mnVpPJn>u㑌៿~vyinwy6К8\Yw_;} [fz?N6ˑ-3Wڢn[Zk98.YPy2y&6Q)Uq]V)yTT֞j.qj/ˊ6pdQ39$LYhϚmtS@=V;gh-\]xeO7j\ɥX4pcjvZVK-mlRJ5٬| f CLYOhrIxS.ng6\0pת(XN}-R6H|m:WcպO|6atI<7)S<*o>Yٟf5fOsgɘNP_-sr|~Kɳ،mb231s'|9gU2e:3zhIz\j8_*ui|3XniblTR2=s[4jS{n?4D8ayז2ovSF[|4mgYUV(뼑6V#q_;2…=4zסx23\n;nB%h/Yr*ë7}-cvea&GRghqPsT }א-^MIޟ4}-&'_8턯 Shʨ`Woep<'f`X/m}^o3eRB۝ǃ.5yL;Tq:bs)eSUC3.F9Z7tBFU65~?yWΎI 4_8:DJ\Vǖ~cfdU){fˮ-z0\UWx{(l)J:f! pOvTʖ?+?' /Ch!zÅaNZSk,;=SfʾVyH:JX.nYIώ}ʮjbjes:e0MiEܢ{|do_fFuikǐ_ ] H &l>Y/=>;/PMF&/6/q+?w=E~gq.q&(`r7 Xzfy[,r/7+XL**O1瓪S[TPaop[~:SWWT+Ktt ؾedY{6q?Ҟrb=s bkt+tdW, =Fm6t1:镜SbϿ-{)>!XhIy>U&qP1k'v-ZL^[,80#z0[RQ'8Uܼ/5/ͺ6vqt⥿(JJ$"vLlJ3sM{2xGh᱕ן糶aXF攊`dv5}NM9нCig|=\P=R$?,-BWm`Cv,/rJqi? LG]9L=n.>^gVlJwZq˷[K3KKYĖOK|t. L3yoh|ħ1˴Ue.s#%RƸnoݛ)&DO\tc?3Q/2߀&boSXou$(qS7L'wc^TF%O;D6# {ʚ$lLX'<tL$*q>65L-kus|N{ ]zbFySe-6_?_UE8ruyo&o 3|R×6q'$ FX~g{޼m3m*n[ q4 퇥1ڪ\aĂz|G~U~CqvDJXQ0-9i.ݎ[2]M[f0sCOkGCˤzhL1qrZ[~ #~'Z1.ob>-18 q_0k|WO5wT201TqXTHd;;i/v ξ>v?͋T/ZGD$ V:=r]t,68͵Ysw7Wh Ypܩ]ڧS;S)+e{Z,'/K)Dѧ؞ԑg4YȪȧo#;uB \>^lp5<9" Tr M#P:ejV#Z˼.4x$&d3M;22.eZ/ 2$eotړ -y9U< o B rV"whn剭 4_^k?`XE|\t[S&|I \- bldF"}%x?]<&)9nzZ$=9)@tN.Cч&%[Ы6U6L{M;^|uE-dI{L찥hĝ#Ku[ $r<(!ŖB: q㽵ħUjqΝWwk651$UZ?W6-7^-t?h_3+prS㣾Ư|'eLy1_dt%5&}Nf)lGI#w_l(BylmP*˶ E ~c11k>ۏN[HJOkˮ?;|9`Kgm},AhYa帿髒^IuFn)n8eeSY %6ٓXهnU}+'jB7.hө2:'l[-g UgQ O/ 6uG܆&|\V+7$UUdz.OMg+~jzy/G]f96F}Yl16+׵lІ8qoDNnUbL/#8 * ^C1suF\K3lmFZ ]3?>Yj@5t&(_GׂረJ<BHyS"vōg\Z [V[fk:~8\v's\qWp{$٥e#n.DZ-YZ+Eim4ĜRkF2v֬d>H|- q{S0+ƪ<9 xz]/|W1E=iMzIjNqNUȜ7W5.ʶ;¶qF護 &/2eS)e*Z[DV;>ZL3XFz1s?bvz9]Nj\nMuz2)lZkns.+פUK:wKilF?oKen "|܉%ϼ$͘5G"%c`,#E#VǝDz էXx' _{}>DQuei[i;E[l]mw^*ȟ^Op+5T5p¾Қ [ZH :9:exxvӃ0ja'#.%{&qRS6T9xYUMu_)((O©[}{=NPp f֋W<Ĺ6S5rNϤb3s,unɋvҿYDza#)k* MBE暅#*jρmVwFzt%7Oe D0}[4'ܖ,lIQY` ţA=Qj4:s%å<{;Ȧ~^]Ό܍2b(zrESЖnJФ*Dq琅oe,^ml$ޛ Jg 6f&jjvqlvHϟMR5|0O;\`Eb]>y|(CF!f3_amIBbSyi<Bm/Q]-^4W5_3eÛ⼟zr=O_R֔sRTܛx뷄19P(pRLڋS4q;r,z5WaxRԽDVƞX|EHÉ=#vsG:^%^) Yݕ&U //9hJDL~'Go^ +]MO}qaȸ.yfg\ @|o,~8Ȟ:Ӽv:ܱaTQڐMdiZ}{Z [jOYi]{;I[zг1[5lu7{S7_|q2앵}RtpΑo( #9Q]CA20װ\I\I.iԡ?ُϦfIR?ieU~E072;g}DiDY>SH*9-aXfrMۍ6!\±36*Dx eFgA7?3 Sz>fjɹٍx͘FG d> CHCs?>3/yMy.TUk1e֜F W/m;ua5jcӨ:\Snijs֊ڵ:/kS7eW[w͇/Jח~)Th蘼6Kh2F9lnK/k:f^N`=WcVme][㪲1%C/`r#' ['}-{V\e{Q6 El'OCAs| + `)=<'kŷq_s#[2߿IvkO4m cȫٚM1"#pMmݳ|ӹ{WSmo ,xqy)o[λCrukM& g*8z>){|.QwG_.v>UVAlMɍ7Dt>bc|,_8xS|խ[ nfJލttwa#uf,Η@^bϸ׳>[)YIu9U'M[X3^Z']A׉ZNP++ Dl4V_XΥ[K4e ӎof/8MNxe#wK]f[NeW][ c=]sß-qʧu)'Ǯ5!lўAc2W`w0FS!ɃG1 ]$Qa89<7_V)p'gTma!ag; b lb$1.p\4Gu8)XbU?44&*+תHQ@w܆hI9 8mqt_\ەe w\b{rşAu8}A11:Z?ߙa!xm\Y"F,a6Z_xCKMW@.4Ļ ] 4*SK-i^)b zqLŴIZvijSzbl8JMGK ;y3w͵0>p}CÂPg3xhwm/vcr]_Oߧ:>هa;M)3S(qt.Mꃶy/2^zJ tƔ'_"oeq||%X  @+ϊrJC؃)zY ̞C8`a +PDxS''\FOm@pHEI=/o.wVK{H#ݛ?<7wO2%kڡh0;ڪ>S[.A6,AcrjpE:X=mND 1%mҊm*UC온aL KK 4?S <?S~R%@2^O. >rccF9%mGv9"š7ws륋F Wd IJzː]ӻ eGǘ:Wvsc󩩕0Qxrw0giyיÇՎ_.Dxl^sҵ-\c_,l % qdެ3) O%[%Ł:eۈp{}}Z:INfnԚx _((Ueɲ{6#مeKSsDu!#ٚrh\.WqnTl.t"J6kKFF~6SgPGtȯ/^_97崖Hƥi\Y*aZ[`hi){E8UR  kQ|6FeȻ˛hk/g ;ƎVδVt_+S1kFEBFإfƲWpGyTt2إH. _>mUkJY;501m[iリKK\4,I'3NavQQ_(iޡ$5q6޸ Ve1=''ϪR}N/|Bߕ746kÎk?M=M=3i('OtšVyc|a=W=4g-w=7cc2Jy 3gcRd]iZ=ͨgvn;iDrYi.}u*ۥdU%cV?ʛ} 7C;WluE5p-u[/K4[֘R`s}V+H$^JKU53]ُ&"P/9eq,oDfݝOB:ڄ%Wemuk.W$~oK?|wJ:S6j6f4kK * Sem)RvX8{ߏMvk51 @+ Aͽk)僣h:zOeɽE7kUEOow3Cva6ihg.PtgTT+ v3IC_}Ü`N_ZA4]Gި6mm\.WۮrG{f~ z=5AUv{G+'pxTfiowpu.?wy#?ُ=֬KӍ-L)iJ*LZm,.p9QC."5qwqTrS.[jG=KG?Ŧ3h%}vJl,jS m\Q̥[#Mw71yw[ݚ-x6LZ&MחxE="d&$ׯ~E-2;Qьcl.EK~ӋkS-5r _ۅ!N/2k5[ӌ89ubJ| Xcs{Ԕ>.(w&l{RUi>ˊէ,9;I[.d{B}!Yk;h.i)46s&Uaqui -5U:e?yM: =LJiŗ2AAZ&kY G3to5]Ş*:j*T1x[c`R=kj_k2a'JqgZ)au飪۞`î)u(*6z>G<˔s>'ؾoc“1ᯑ3~{7%U~,'/Ih19~0Ǟκ}Ơ(m/:\ll^l&9Ai96LfM'^&9,O۲!A~$̎?Ys7ĩ]o_×`Nߜ?|oϥQ;V}uTWÌF^nKqzʐ6|(_k`߶i|{Fy鞜1HJyr%4>J|MS_܊\>0/X%a<["ׅ/ScnK.B6B9,#b-#"~"!KD~NS_DZD>fuXЍ쬩s#ٗ85 ]?E)K+ŭY# :>=ݔ69tN/Á}~hۯbLNGYSOiG#qГvy׵ŝ |{ j-6 Ù"Ojhtjj akDjiwk/6 QWï[Rv WSxGuMS6VHM9pox"ѲЇ31,$f.nvL7 ՞ lY8^bI櫯[b8֢]a{) e:낍x8gM!n-__j\b Nx׏==f4-&#K!!`Ց#N=ƻ Z1eSBpnyh?W'VmJwCwb_~Px>}l2Kqؼp|_L1uFbASsW^șӸX[Aw726S~YztaF3<5~a'ԭsVdA7 ˇioڃ {*T[wb4[:]39lu\?.7[Zgez+ecmD٨>S|.0뮨o7 >넭_؉3=66I|CHb;)ch1с;(M|s?v=b:s[8MIk;YlgqM4!KK-Ɣ%%3{u͟]:QbVEj r}edl!œ}dvVc58rYޱs0NQoh4n.ZKv͖ۯTҜ[d8 3Y2K;cv&zuX`zɪ}s{߁=3e̩ze'y {v] Mf噝Ll΃^id9/~DmҥH|/q'O\aX9 3(n6Q٢ Nh$NZ8'\wS@7l ԫԭ[-/u@W|/P:/0Tr8 !qtZZWhYp0RIm_gxv8oˉ-Q*6A|` 7n~9K'{BPhRP3^=ߡ&9jy#}-xK$g#\ɞ⤎\RI.u:T:|?u杲uGCHgLu,2tǕqH׍6o/j{ C4EY(NCtl!gcV,.‰NZ7r5F3 Ky"JQlw]2t$E_g?u5j9&9+?\Lxc% `i̗ʠ&< &:mˡ,lzqต/e!6`F/f(/1> *xq⾂n/>ɔ#NtqQܓdp͎%N{[>sƸIРS7*G-4,4' [L^xtS7$p, #] >ޭ ]x&,Ρ{VpDDpFmMXsO/c}/UDPk1đ;wbz(*dQgzL`>$\4cu:b$6fXe0EjI3' QCa>~'ĩksXETlCT{Rq=G:, I]ÔMNe›)h9 JA5g`@F| EJ|odS~1&Oxc*CkH~5`m8A mEKf4M{\~WKG;Ŕ I07NvvJڔCٲ5/D՘TV Lq0 q,Χ\?7Ҿqޟ;[#cll cQ/dPJՋ)4DǤd̸GmyqYkػsv*y]/)zR&G;A2l: &acLr2U_m7T:l{#A l9颁b]cbU+J )"hgb YcB? |1.乕,q~>I2e(UN!^o UYaF3J$ Kls]Y:ד0E0Ǽ ƚR jM(j@;VD98=m%HR g s$FB:XT6ɯ`)bj /3|&\fF;̷$o7C WJHx1A/X`T~B7t)>YvH W"a5:NJ\FĆ&QiI(Ӝb|A|ctU6+<7?Œ2X1̥ FaȤJn͈wwРA`& 79"leFAlЪL?AީkFSw[~9\})5䲂Q6RDrOi򌡩/ܞ\8.;.~xv>`$iP}Z i.3FGTD`C]iOځ¡q*fF)HH K;iE^4 59b4v (6D뜄u}5r6&7?%l@l%c Y$'R˫uH /̷bJ,r&EhYb?&\H":x@:r#7fAÐ8v|$sj6čIRNaS[r"L0g PV}W_oKseN.4\|8t,ql[1n$rxTG2Cpap: iͶv;:_}{HykO#` Cf,0]_ˊr>DHebB i$%CO݆f\皣M8$;Uێo@B)ZsxQ\d&I װ޴9rf5S|8b("5wUodO#D7+L Sj;B vU8GB?3jx cQʕKY+`a6K?2Hc:"m$ѢLSecW1ŕH843MRASwL}_ri s̋8ȴt>D\ܝFU^e;7o+sn$iMO)Xc]Og#OU;w{|+SH=?kvV^d."/(͛6ҺTnipx c_]ͨ_IWJ薩m[fǭf~[qβ(lL*~V<͜[1?sjO>xo2cꊣ'NkV3껷UvYAs]9k pXnj~!`u]KsOphSQ {@c 3O*ˤF =" 7h.ZbӵVq`دMjL=;Ʋd})}{Gzq\A@#$JNW9tg=NPw< *_r5"(/E\j~ms^DKYmfHO3cM<}mNN ;n6wjg6QsysIԌ]za UFFFCDm6"#j!F,CB9b!Cb &<*eoĪ=>kWY]_Fq>8Omb8^Õg~y2C OK9.a@΂{Q8|~?ֽՑ~;_%5J;t3_&߷l'/k`ߊ|1Hfqd"[i_})1#3#ľ,?3hY3wJ|0JhXI Je -N 2L)6֋cŽ ptD),_<G/\;yZ"?DA`Yh-@i1ĜberO#y'Vy_+,ĵGmO̙(=ղ km7|dU(| 3B;y.F]J5 ̋ 8\n% IAQhf:gĶVi]}*⼋1#Y:#-Mf@ !7^Lt >} .6>,@y M>Qsd|H4#"T""#:"s׬cEˏh^8d;;S9vީsM3G\w!g#`BW;؎Ҩ1 aTAw /iѯ;}HR6- a̡k7|c7I4sO z s ZP}cz, 'Mwې9GK=&k'OUshX(IRkʸ68nXLqGE8_D&0[)ږRap.AZpR%@Qn>!|锅d6> WCdx ZC!,!΂☁J,T Q-2pVSmgu>% + "1(DxrԚ2`x\C32ĉ>k\R; `Vɓ{9yd )>c5 ~2Q6r#|Qf,]zmy@ .Nϫ?d BRme"bbVDUTaq,0yƂL%7B7\mgx]ѓRrF{f|ެUy8Һ_AA,uu%'ËLtܝ7Η\amx%Aatw,%ZP|mN <3{1xF\|͘ld2 ,p/G#J ܇\Q̇5g5q zꏂ6,|֌ՊQTZUDi]iD6# !dyV8 X2݃8YUi7dQ*[#4gLּfs|9b]rZ7l5 +^?Q|b+bԦ"WG݄ dF&qNcݕM5Wo[SR =|jz#H#"e60TDIp8-gē;oYt8񳤅TduiUXO_[| y)sG-Xws;'Q̈4GPE_oׄ4\?ђO"$D~Dhf0D@pƭ>&<UF~Tyqҙ.7Լq˱K 5^b1EGԵ"dNu`Ovv:RZUԦ{[͡Sw)bԥadC8Zo zumsGs3 Zy9n){Ġ3; z$b AfehO1S–\urng.m@2ژ+,|߻Ҡ4~!3;3IkG2r(D C\jڼ _4ܾ\Ï`DxR˭:H\؇!O,x-§-}ﯿ؂~ז;O V31A(O\+Km^{ƍc3ekD{Iw p)Zeq<cA[:XzG,am-mzNʪ¿ Awt tB9X5c5+NkT9xaeb*A<=䝄ymQHt`X:]:S "_v!}^h5gS#"t"CNIE:%V!SCG6AE8 EgF)όKX "GK5i6#`ߕ1T},#djGFuc,Xi!ZtDSxDY(oCslm`x ?߇~uL8 W K#2}s  P, { _PA)ϖ5$(+F;]4 fA f<b>oY9s) ve :#"uxh5[z&'2".ȞIJD >2pN*;cQw< [\F`!öUJR>tf`Hm |)EAdX8škT1x3c( l "Vx_ }-Frɇ>f3}-/p#\fsjGR&E"NQ2i-\+b@$4IeQXh0ct=q2 Eg<i7uRtJ#|fT|e\m{1mUDSDz{Q#bK(aB:p/# )%ȋ86yD?#'SPfLHq&/>(Ea8ANb.j TpgdZ(D0ҏIAE4.X4[NA:gxwE}'tzrq'8R¨Ȑe.>eN!Aö {QЃ !s:?%ҙx|Ȃha94[d@F|'_r` $b,B051`[HE.\Jl1$W.Y2ca^XA1@ و#1<8 6e  wO!ÎWX@#8Av?FbG8Q"D 1 {GvUlyJ" vE:'`1BŒ ]Ρ0L2VxٗӬwJgh9 &Łؠ3""" ǣ2WϏE"4./(OQ%Vs.OUE3Q8x$[c6D.cG2gVoͱj*njdI?]+6pb1]_J\F`򓧠e UDA) aAb )<3B\:e [ f &3NN-x9͘qAPJ#K4\Nd:'8dga0qQ*b?d+ ˜n5SjGHn#eSOA 4(1BCB$QItpsUD[v A!$8!=#pa1b%d 7b T GsMFQ 3& #Ӕei6`+1x׏ ( o$P0 0̘@xMJ r(J -';N!rۖRu]Do )?@d | Ny-5]iDA` 9@l`P0 SNhv2<̽{"IɃkΑ&;QX0g1!O1dt̗6ʔ떒9 N0؎eq zMQ&9$DB0Y<ȃgeA`* ~ ̶#DVx "k#:E"s3eX,ד"phMo8-Xi1b4`D!F7 ͡^bN=kQ}/3 a-qD@g!r7dPj5gԟ2ǘaϩXP1 )!% @hN2ovv#qI8갑6/B|?"HI@4`НxE y%S.Ds*a g4( a:ȣ080+ǣ2@Ā%,0ıLk8f$(*7S8b])NmIc;G|ו8v%̉ b!#PѼ"ˁhDCָ}qGӆ }w }0nن?^(tyLMs7[f Gf"2w9}L؇y78g0dЊj=heP"##fNG\tQ:"H[&R"K|m!->Hh&hEFc#$G,}tzuDdl: F `U")!/&j`)k((.hIEh??0єjyшF-1R##""!Ab"HT:E=.-RDfM2/B+Ȉ`BQ #D|CO&"2 b dm6̱̽ft΀gD  `r"pbw }M[HsIA8m W7E\FDxb^Lښ<0$TxG!GlALR4-VzxS0$b)"IiC+d-hzOx~H()02+ߣ: A>dl ޒ85@pv4~-Λ#fa`Ao0^ N yc,xnĥ@@dq7xAFA) vKi(AXy, p "H1 h앆@+zDedK¥F^æ6re6_bh SO e}*(MyB}HQAl DeD|DVDF̹f~ΠO(x>cAEЪCN0GL=^4! ϔ$" 6d6PnIqqJ}Oa6dذPC4+rA,r 7FYAAd* ٌ$ύb20h Y=ă38By!4 I#Ȍ0$ԀaJA bu?l Slpr t ;ā,ixcfQdcH\b)4hDC W8PDzd(7'%?–pR:!%,wQtPߘ.8GzPO#^"n#(#Z! lCB."x"j,#H~ˉc<\ H8 V:\ q$y50OѠ;Azɉ04~ ~K?Ö""0͜!d`( j*"8؝%ϾSMAt(O?38g%(\oBa<#^K|y"9<䨙XeCb,&|x#x"CN(Q'-2#xQHF>uHN .$a:N.ԝ44`\ 2RDA{7Z|qj>!HdjC$9?B)@-r{=:@pºoM]9FDfDT0G؈Џ64lv ȏ9PM]Qd$(9xǔ.@͈t"FJcq,G{Q ͒A%.x0F (0(#ÎJ rD!p IDhDDxDFCShHIȍB,%F}chZK/"vʈ4x`9HCrjrQB#&ޞ)'D#"J#"CBD.䔏&qոCDFD:U4EF LPI WGOHZ;FadB%Cj-$$Y 0+@؈"<|tVDRʲ;H~"fHm"WLh0 CzH{t<)D>8;BQ`")KzKK,L4#dD86E`C8S*#TOEEEDEFhF "Qlyx4ĞP"!"pB0"JzR"F#N?C"V"1F#y6MkBj!DG$DE0`0v^deLQFEDECӎ"FC"4Q"A\퓐* 0`C JODVТj#l# 0`q1%>!:=pE Xa1OR%D{=G!B`Ȉaf;dr dD@#T""!ЌDD'!n#x!FD`B'bNIDf.#&"R<=EпC"`8#,ЇR8!1xȖQ,"Cq3A"!KM_<"",CB!DIXP- EC<'NiaDx"r"l$@ЉB!!d:xrC8!!Hx! BOh!;:{J-=iCHhԝ;_#!p|N0Dn6:!̆h@0$#2vDޱgt '|D4q9G;$fg Ft2VDkq$-h$&螗$b3ZOqDDE#!v UQoE*]O>xxEbK:< l5)_ R )?,"egF8pqRD[BGD+G D6`%?U@o x.CqQCQC eE GҾ79GQϗV8&<&5@A{1CכbH#扪?7}b2"܏J$Ye6|b-cQ47g"2 I+!&#&Hb:T1=@ЃVQr49H"Rq-)آF"dHB#~?t9"h4PH τGDDj1&Ң!8 vDhEHMꄘjDb,329U#f!ЉLG uD$"CfL$EИx"IZB+&cC"D} w4C9 !d) Rv"]$sц1uWCXQ?"6"p Ea:ЄVIApDF~$\0Bv!G갏 v"b" GP8!QR>h"4h NEt?A&eX677 0pH>( 8tFwF"##hȈPp9E#C\@pCBh`0`TR#9ȋ1b>@x!Iph1#>F]r"Ђaa") D0D-)"&+>pB$=dEE""""!"/ .؋P(54#tn# < W pS+ZTDFDXM[p_pDmoqD~ёEnȞތ Og)3"%")B:uFtdWQIyR1 `Pqr}DD$B>4B${ x"4t1Л391X>KFAFCCS_D?Mm` iBl#,4vb$cj#7Ж Q4 G bR0QF-h5Y!hrE(;hS#PR"AƜp">2ҚNq#3 TUz<͈! D hDpJ;Ⱦ)b%dpF$cz VO `!mTGF!qIiDP٢P%͢b,"9; De+"*~/"0 ʱ#z"=V6E<($ҢPC##:+ "=CI<0 !RIĉ2b.JM ̊=-ca2sDsChb<"(!@ ],G?6JQDX~n"NpDPD54~&^CʢS%xq[U9<=G!CP!I JWoQy؆lL5@ ? :ꪛ۲O|@^>UbN8V~;üK@w<) CfQ!9 p#`؇V$!؇`KBǢv!6" âj؇`2z %U`@ r i <[űO'P#ɲ?:>5p!Ii?WшG;vCơCv/"}ܡxpr%hb`}sGbZ0q@7#!HzlGi4Lidm]Xrt>TTJ`2ܖzf5qzOœBё' u4%>9MT$i9BsW=#"EqRbR3Cl(/fHa( (X4ER/q Mlb`Ɂ7g(h9T"CeHi”"rG2 y&He.͡-fNGm))>@h=E1*ĉ6Ibp 3&b2<̛8e $NJtl"tc~Fk *x 0hמ37 QzV8Л1BH/\Ȕe;da> 8(b81%=`1EA4,%mɯ[ 2( 1k}4ip6@C1P8VDz6BdɌ#n܍1HǢvx/(A+A AmAPb@q[ewW&J6vv~}8cDj$1ƣR;C6 x!c=zhm%[$ypN<g<û(*ϣyXr >Fߺs E}D|5]Jt]:T Rґ>A f$WjGީT|$O+aHlw'W 4oڷ_?CEn}:{۾Ӷ1!["t;eH@tW6oyJ<-)9?B4o$?$Ã{\4_ť]x= ~6ہGJQX =>`{L?J1| vo`a凤>6SaQGR,R>K4lGRR,}=CA\C}1M$(Qcџh " Ts0QQ?/¢)QZTB*=K>$E!Jd> OKׅE"IJ(EJBރ"(=JUQQEQb!K*(ą*({T,)QG|"(b(T~QSS|iJQEX TQG!|1QGɖB£悕>e_R֐E~*(ԩ\1=Z(e*(3QH"J(| TQ*_h(-y1"AEQH(2@CF(?Ɇ>V+JTJ(HE!JR,UQor!$QET|M/)QEQʨ(vb(ߢ{"EQEQTQ>H0QEG TQEEQE"(J!hR (('EXEQEQGRQEQcj("({J(AE~DQE*((")QGd> x4(]>W: TQ`M*((۔NҢR,aìі{e%b\,O3|EbGJ=K*(*(~I ER?cKHR*(EҢ)QE~+z~3JTB>8yJR|>gT~l1QEQE|/R(_GsQ4Ն")EQEXb(J"(򔨣ajR˔L'ϝ_u /+t4 _@X S$Xa6K[-}?3mRfbVmm̶[[mko.emmaoek+mjoB6mkm31mzkM koCaחjχ ֘mԶ1mmmx|Bm sB6Zm[mmlm3ŗ2ֶ|f[[mmmr[m> kkkmmakkkomm39!&me|jmЭg˖oj[m߱!@;s8mmm[[[mmmmmmVmm̆f6[m[n\Bms|f[Zkkm\o!32._Zյ3-32[[[mkm۹mkr\{f[[[[[[mkkm.cZmmK[mm3-!ukmmmmmm9s-ko,mfmm̶mj-~x|\4b(Z fwhmko fem(mmFڍQmmmmEQmmmڋm(mFڊ-mٙQ5.ZmKhߋ¢墊(h)X[QEڍmmmI[hCYm\QPVE̢(mmE J(.Z>2c6m)d>ø0L{!urB x=aӦ,AL;l;7@^6\8$T.pd:8ȵiiAd*B ۸D9;{D@`L!7XV!c:O$q{HAƸ}d5!G챝 8`ի7jt"Θ%^8a6pRȍEEXk 0ѭ]B 1|FY6;T^Mr(CG+VD|}:4!-q#`%ZeNI?6T!O x.h.h)Z4J0 Q)#D!CXZLќEJ4uN_ QyffyQ ?&\ny),-% &beQ.#?'8T˩ˊk}@[_|$t'K/Cw[]W>apDE/$f  (*5uS}l-,}xk+NhY6:K_yy$IK+yhAa6LQ/xL 8 zwU$+J鱷.Vtȋ>Q$@0^f[j}5o @e|췒WLD_D8 BloH&byHL#D>[t =HtȔo^ś{e;kW8w*; "%uAcI;?dNIwPJ3i1 yA8WD{^ai;FO& n|sc(D,zY4A T>=-t7Tz|Eʋ]r[+<EvGW/|NtwjbUcdT2B)C@<@yK%ZӴGsUiDT3m1f"m86&87/" Ufڪ щU,rYI7V܍=DތкɆZ> X$-$mPY<&OތB_L'^;v%Lh^w)VSeȹ;wHsُJj0ȋ-A~)%eF2m oZ/*F1(9]OHs1yUḿ|`"JZb uQ i58.ޢ`w( r~$׌9Ĩ݌q3Pe ߋ.VEж5ZdQvzu?e\3$1X^>s֍*M^JvC.{ {rFvH1si&&Z -}R<=Ʊsqv*Geh:f=C p/C?mY#10rhKBB]er#DX##V-2 BY_ dL?qEn?O\d@:2q$''r%4=YfM'$Ĝ /^24:pbȨ A_2Y< yUa6S׭Su I`_dM+BҬF>,9^'Q]{}<_B! vXG-Q6|KɶXHG+>H&q A4<8'Ȁ znrجEjwEt1}{vNDf(kdžGQ3.:ᶶW`ӝpx's#]0IӉZoJ(d+ޭA1;ZxLd V\Viwgfb3I9<2JãzW$^d%ҹn(4}c7xj;Q#3gA UV;޴%-taď`$f`iA}:h!=ň PO6j:y M?:T_ p"` 8(ޔ r0 {(F*NoC3R=9$`ޫ0"r7o:o3b(rk'e>|MicA7^kNZsVr/t |ḇ. gnW-KNg) oraEZ~y$W'|@FV<Ò+ 7Du.C3cvpb\ AoQB Hؚ~1F^?Ġ̩_m|Smt앸\y6p It#( o!upt)bKBs(&'$s9w$ӰFCECHn!&8v{9K!EƔSXI*wo4#TH:zo(9ݏ%r!?$w-RpKs.[8y`Hаn祾RlLto'[fYSmņq\ڎq?s'{v/}?hḐübß4A?Z;P<|#;-(Z>&tEC߉?I!LA6lpkdAY&mj?m*bL7 {<@0T x͘dqJ"HD.4(7SbYWjw_}_qSL:\Rils*$qfRg|b 96s&U4yWMxD7g,hZ$@I W\+[A$s??rX|JsǑQO%cǸ{^syH CYη.ZnUt+JFt l οAMDsb%@ S~&h*DlWmN'^wD@?2p5]&Lb~es~"3TWSliu ~LَC+ ^YIϣ[ 5`V9Z<.^ sF n5e9cnjn}[ZgDL͔A0>$m0{D}t@I{a) ,MpfF+q z#R5U]A wC9aA/gQ?kGخX}lft 2Dt]ٱsH Ч=K68ɋxf` /x`N0qh+ԒA0dKs٫y%DVhH0L5.dbJ䥈:G/p3};!3_`S5oh Wv,QLP,nƣ'Еn$/`"!Jz~b `bW~Ց3~Oߜ2S }[l}Hgtc0~ ,H {1eF2 ʟߕ3;k&u).K ֕@I/=Z$ le*Z6nE6 =l::өgZZHqll5e@hӲF)5ZHxl-G*Jp ΎO+1M(Ǵ+ #(EkEII: OQ ֘xH|K EDO4Hk Tƈ(bR F ;ȳ&dV[4ޟΥI8r"f$%bP 08HU $#\Ïqtє/phM,dIڹt1,' ,f/2<\44q G3#/MD^7 >`2Ï6g=euIhe+J"] Ϸ( z3Ϛ2G(ֈ] v1ZPqc|/~DG Yu+F܅wo \kx,!vqVpOH!1u'6`EڟN+*hfpj˃i}LŴMulYŴɒdԔ8P>)&QAR)V¬x._-QuGޝ2ٓd@t4lECZP3ڈ0cd {|I h\Hfw(ӊQTdl*3$b.(R 5%˜:hjL6ܝL"t7|D1=+Fb )N026l' s\I JgŔgG7a}7\N y$Bol8%v620W; ?Tvwͬcr0eu T]of&*X嚔 GN$tY s9hIEࣅt 0QB ?P(Ǥ6W%Jq[245/b# C؃.|KH dOZn<3H#Y=Z'jKǂƂܑ-dji%X n4piAqp>7L25$759R3'${ 0`FӉ Ɇ-y1t2XObUR|#'V~V9gZ@տ[ O=\B:MFjAW.M*LrCs#%>B]kc]Ț |2( qy<@Oy 6T<> z)HoD)fiT^^.*ן>H}&^e#tX?.~TR4ߏ>~?gmO]xr^c0s jRLd*¨t'{DLxDIF*/ލ̡#&@aQ#B96;&!.|ǰV_9TS !Q(~@`w*nY&'ȜVz׿;*t"bCHP]u"_(n-G[38)(?ſJ:Ǽ>3G˃{-\X6pLيurkLAy*[ XK/ſyC.J`dKδ_Q.A܊7QVwZ7Z8"\7g.ClSb(2['HwӍnp,9|~Ο+*>dxi]eiFI0EDhCB7АA(!%`huGWcGDJ6,I~<0pɃ;BXgz5#"yEbJO.p!QV_BۯKYp%a+wrh!Iev QKc^dpUbC۾Ul^I1*[򃢑> >5擵0DSVa]"tGw"#pnPij 8y*#yrpWo`EJp](/~zH hSÜa4 {s6$tk9#;.䰔 ˝4 y o:Sj {w/M[6f0 j']v|a?Iݙrߌ<tlG2 \VmU 8^*JEq9?)K W MLHF4C H%)CIЊВhC /7Q :Y!T@@La:0éy}S4DKօV4lQV'`Cgܜ Om `9XW'v׆} Y@ q=ȉ3{8 q,fľ'x^Ff(ţK]OV lPRY5AڌS vf͡;bkD,ک_#{*pV[ PQ+RNM*1CjU_,AOҘaxctV?'LQ|u84r̛AS& 9RA>bDnd0 .[!ƭoNvǼO UroTfnv_)<oQz~k5Y`IDd(;- `\wzWeMYw1Yrz^4~gZ٫3.8:EGp'%31HsQjBѼ0 s<fm;6+#sFLuq" \X] BP*j;cmC,Rkj 1D0'+S>]}]WCKd,d0b !-ۿNJ9$(9F f n8h(MK`lv ZŒL8}KtEreJhliAAcG0 µjyVvbXSMJ<,˩ 퍖Ex$I}CSCYUaLq$-kYiNڳ~"bh\gdd!P TR=(ز6u aS!kHr?IzF 4JBP 2B~6O^گ9-)(3.W{MAqh?r 3O;vM88L# N:^28Qz!W~v_$ݺRD@ʝ²R!5eYH<˯;( c7!+Ep(^T::]z{}˽TdS 96~#}Zg(fi[ bhkUԁZCs]iȉsH{FZu8NGQXB*BFA#"ЁEL26py7G$>2(eCArWHÝd {ic^)&,K[ n];BSc9rT3 Hpj$1_/Q(euFCEɐ1\O!N4nntEQ}ş._uB xebWpiQ$р#"6+PDdC|y.e"&ڛ6,C1OKW Vzĉ&4Cϟ>|nschGP}/:w.sGC8!1kR%b,nI)GiRyD(!$ \fNีimODrGq  0wiUa9E%wM_Hr7ߥ7 *|xl#חD\o|D7_سǑqnVaDj(BP0^5u*7`Rxcij~iKM3QIgُ}bPIe8Փo6[{TVLkQf|orϜH. h\8Viw9äeA1<2ęEⲽqz턃B?k]"w<{y}p4E5Hm iEgD_au_+‘"yG!~ckdltTT-7M64PZܱ (0D<15?Jߟ.!H0[w𭇹L7Eoq&ImEeiFNpyn~)~LyA u_k#$[s,a J$$yPcz!v̈0ď@Y,g<̦{.>5#ӣ1g  66ʂs< wrʔD(zJ(~ %?Y+hj0A^rwqdH+H^}V4LIʥ/].bՂL?% 0_&1"Bw::[dS]F-;kŽb܉i;td(8UdA!M7 kA#MAPlFa]1\duNG%2.;݄NnNCJDP " @2, gߌ\di @`R хxlm/{{v:,Hwd".umYm*5ƘOj3'nqdaMawS&7"Y9iሔ3锔yˀj}&GSl ^kd[UUN)p0z ueqԞse;kWDfFZ͕Z"qbMO: j8_kIrHm[Op.I݉yo惚qWVAn2AuaOoA7c+WQ:S #NR-6U%{ W*3*a1Cp`+1qa[MG#m=_[6><0/9"="&CVX#(bk Fx7;%lTțidxYmG /2A: +/g^S2\߰5Ϣ⥺ ^ԥ$"DooC. R?}y2oNI7.7V8➆qd싍I,Ǡ@ NLGA3?S*/لD㵗 iT =VPS[\u?D,.!AC5am.R!gb'$it#ܠ4ӟ2=W  X ߩB~|)qt"7Vգ;iS#~_)}ϰ>9%ټYk}IƉCXݘnz"8"p1nMe"_>u)8jSڛR~:[6dI7:޸-.;s,>jLPmja qbVΈ٦/"qAO_ArT9Y %xhEEt4#@sV2h~4@80HFG0[i1qˉ80cl)M,U]|&&`#-~Lk? ?DݞQ.Ʉð\S(L 4g}ɱ4(BAZ2P<`HG?"7W|1Z,5oQM|^wG^) !!H e$qOٺ FqjL}R;Q#E4r10/ doퟰQ[F J8g0x.ȧl}b mx:dcܙ_f.fO!+v芘:o;7I (|PR,'TsjKG%[4Nc/fT:lf8YYN;:o4}e&gm_CDjw.XߧR$6 <\ד j\AT##:#'Lo6GȜ,P0공'(gEI51"D B=׏/!wU,Nj9 Z4[>kZEժQA~ȣ/@\L 9O<2PʯV$ 9]y}rb7oL dFX'#Zl@|$:tszY%0Ll) du=#50aU\t/^|`;9sQ^wٌS:5Q]ڱkIMe#/('$ZXw>yY@8h~Ρa" !vPژbNowhQeoݚHGl/-rb\l"I-xߌU,) A woEjb"B`DF~B{jD=ث:9<]3:\Z۱v a@][ˆyqzq`uI݈ oc0l=7t$3*#'f2#%IBg9еWY֊Ԡ]jnC-ԙi~օ;%31ݤ @=ȜYXA.5̂ ` MޫӟXu6\(yֈt%DhdeҒbP_UK"j)崧@ q.j29}LT϶B"""wGa(; F9[qU%u ȑ\6JSA+Nc# |Qh"etKH,_p(0߽IssS3L,wTzIzcjR dl?+M&^JyFSܼIvD-w% K'Qv ΄=ns+`-HWTSSSiq 5tA.>" jA슖N+OFvb AH>$ ģԤxI-j!̔e4 Y"r\NEN+ì\=gQH^ EO-(uG1t8?)P,'B%NeCL;~s*ҵNLEŝeI` qs hLԣ2ƈ1&yM;QH:8#_$Y;m?O~iˉ{]Bޗq^;T]3$璺'c+MqHG76A#x;c䲷f:mSTз{!bwj Z#׊aFl}FQPЃΐMjD9)YwiV ã_jGlHE`#\b~q `0@&=`Bo[Ml /Xf';bU2 mo4d{p%+=.JIIڱ59k7:ۣQ3Sqq= q﷧Qݭ>=å>ڑ"we*} &Ꞔc}+ CGhFXʟמX|]'ƁpXnb+ÈL p fˍ?R$&6Q|].}] "v]}#@ Xò FCH+!Ѥw>(3#{f}7Ջ"AG69KيlW#NX `J 3rx c^Avr^jKȒgODhqI "Py_8sWRk4#>82! AaJ[ɴbAuU񢃼n}TnTZ`QX,a)\ ];a`[d%-cetpd:@|Cv^*KM vQ|py &V095xUٜBJUQ``dÃ~@b8XsQCcz*.`3v:ʑ. 6]ad@hrmחmoUhPTW7vÒ(˓LGm Z?ל><BJ23E|74jʀU^0]|ub 1󓢁x4d )f#or2On{Bl?zv7A8Zgp#L>'#6'Nv%rf6|QIqS5g6_ҳё8&= } cZF N8l3C~qD\Aq=&8HRc/Xl:LP @U%ͤG |t|Vq?OИ—/r/e*ya:a&.vgmᮮVJ`:sJS>[Sํf1[(P7+#`ϲo>dbQ iqZ]vl){-װ፵^4#>'\bӓ۬ \ \)HAs߅M@Htp4#2 Hw;[G">kYeA_dX,41ջϼ#h-hI I6cs1d妒/VF[GƖV,l=F(Y̌WhG ,In{>e4&Ȱ* spt_LZ8 < ܳ[!Kiː+mpXJmpr+81v/k{R7Ot6GW6S->5* ؍ވv"bsvhNI xZU$HYW9iU7n&;_%kKxjhz^y#(py"|Rxʝa 1VL=W#B TĢ<ȐC_9ny!M]>RXd#\B1\fϑ "H? h͍Tm֪[/wVCCh'+(:m: x1a )~;f_E"@>$]- &;vC++b&sG4C > 0QS<2XI.B-(ld4ug~_s]no{%]`.b5ILŤhǞue1ܻ76#0NO(^ #TA* 9(L8iOjdnb{r M͚Ot~[ săèR F('S!* g,gl<{e{Bi<. Yv,*7gSdC/rdT*.!GR9j(rB{ ^ѥNjEb)< H0#bFO! E8q%b#ݮj*Mק|.sO ~nipل# hZ%,X6b*uoR5$"ðZ(HȄd臰ӈ6^.ZK,(bQ&$!9r&!m5Cd˾TULTY/>*rO%ұQx[z "ȧXƑhJ_>~"s|=Tؐeӫ> ``(4Fa%glNכAĪmCs8yƒY<qcIBw$NA.L: .wGCm Z!Ef.NLӨ*9%>x&Uα:=Rr $C[ {Pv[NiY`S"#"J ٗ\shsM抑l0#%.3T8!".sjfϧ+ϡǶS;_KxzZ@q2@/xO3a p zp?:g:J.% -eb!CWmDAYg 0ʗ/ tfYm<+y\㽈f͞{kMt3EQ! 1ۅ0z69Mdj |`ˁ?ҰUL0Gv#&qqYbᄓS8]zb]R'}9)ldžT/>-65@i=5g8"ǨP/m9 t!Y x-aƋ$D|xQ{ګL)s/"IHk uV;GQ'(}U,f+|rGw}(!nsHȍp!oBLthy/ahE0SȥJrxpA;&0zCo2{7Ntx%zfŕ?nʩgC,14 w8Ws`VjYsRAtLH0?Θi,GCtGCg3)46=-sM`Ќ.=!Gd$S (8*e > fNzbµBD,ؘb/Q5*_E6Gq3l 8uq]4~CNNs\6/&Q.aV!RÙ<:|Cvc+$zɘ4vޝ3o h 1萈`G"&tFĜa͙?khW AcO2zi*@/ Kt^jՃ{{{ {QfB0Bs<!+$+42\"pl8wf~|HSMTt5x|gZg^AҝUتpC{ D}mU'ykt_]:000LrT-Rz[HFј<\F ?lOX#̈ 5L vA3JSF@x= Kʭ@L)?.ѮD3vcOl"V w#&WpKJa b>$LcIJE]Иl:9xx0=w1bͅi OMnRp :s[.ޮ` FA,5•#vmgfv~E.hzAe _VVUS8L 6v1.  &CKI4mLSX"sKhYϘm1jQN)꙳* GlhqQex-tn 2 UD]y2oy [F]K"ˊDYΘQ|0l y ] POk06)ucYs^%&3;3YӃmڤ{uFu27MX5]yŜ\ UMc)e/Zzn\{*qe &ZۻjOk*W8A #8#6q B&A卍P1u"tíw -<&z _nu} &HR#0`  @PizҨ\Uk(G7!Z5;wޘiSޔV'BBfN8$g+Ba^&1姐M"V|Ab6#̦xKS>p ;h)Q6^kIylL :FG i=F|M tLZٶc|<=3q9ȍ.oY %ΠUu'lɓtѯZcyMS!]#V]N;O3ޗT6O8\$G)9,)v6}/'Nr?sm!Fڳ6&lL_ zd-V ؈>eQ( ]к*~ Ym-xKvy2yk$16A4\,%{ykQ/P# ĂV}&wm";v-1wpRMV< "G0jj1'>NbMYuCI7Ou t"Ia,+r J m6-e9ˏ_\0)|tǍh)U͘Cs$Z8/IVʋ%ߊM;˔L`?ss$XM+r&q17Hi/^Td7@vqKl/,+ R:41h;!Z"ϰYЉ6S3=C)ŀF{L{J ^XbsHs;.^l5/},ӡt;kϊ(Flt2piWVT۠|g{ OWܾ:PLs7txvYQN} V:Vns<)JQ``a+"ߪ5=46HXa^T~\F5Y7c2| J:ңGV)5Q5`ѬgDa?R*$AFo˱6qH[pN{@ժOw4ƐXX63S'-b~ U/7 ~X3;Rkbl$ Qt jj_D|i%# k!n\DTт֌ CA/6)yj3'sI%DVj3sc UY-OB1m\}|a螋 1(]=Ipz_qɯY 6-A4 M)F!M75RE!"\α .ʍ&ep;8 v} sʗ;{j=i4V^7eAtCDVGq A199?5p1fk?I 0$GpHy4j5_ن~ZRao\ rlF`J2銭gT*r$Br kAմeDs[ 2#Q;0@T1!DIY"wo\3B"tnvIr}&ǁl*XhZoy΅wA9҈"~U$*lFݢ~bpe**3qpA^|f~WS E̴o&ZkEQ%Z>uC-B,oa6B._,2\=A׫{JxH4%h>ԒבDqN!2:z6%{[4tCZEx:#{vE|WM)%-?wn/B-"."CA՚<7iC LpKl$ KbI8H<&Ė?`؄ 8 4J"?vH~i< !C; @]΁Dё[gĔ BhB 4A9'@rHq菊W%&t;-P((q;$~DtdTM~$e~Yf/Eq|mNc`!HӁpd=[wrMh/}&Ϲ@R$uvN> /V.5TBqȄ<so!Nzϕ=[O)HhStr<^M )\y&>7JeP~8@@u9AKK"W\T;"(fA\g/b7[]FFtӭGQc|-2e rd_d]Z8},\M h̜Dq|E(vAClL01CE0Ҝ2jg ] ,[Yh mc?IKw8mRR!F` ث{>v){{'owU's4f@G.XS_ K%J"vOG2<.Sa?C߁:hX{WXj XO:IYH _1XEBa+p N3U|_Aѳk)sF3|^Hq`Ӽv[Zbw!F'Q9*.'$\tGy9~yZMUaGnKf/$Fz;#hDI->%dHpWM&32#@z˽ANcZаwbo֌mfij.4j9T}q}>gG aײy~mTGp Wܗ!)>CƵSjNsT@pE/ :i5-[dRYcM4K'o6$]W$6vCWCy=dS8rʿudixr67Q%$r_tbŪF0-yxwd, ~ .퍹#ɘzk\1OVH}*c)iV1} '*4je{MܔE2xc4y?>SZZ_hNAUzprNA[h+ mcC!1\}MK)|"lNyMMR z9=Jvhczsjo%e^qP>m|Sۇn"}(5|:B`UiFI nN3V݅je4 n]r$L쓆M EIvI A7,oyaF@ 'k: 0mib.߸V'a `Gg7dUxh]֮<0+Aīfܘp$FwsrES;Oґ 5:fI)S=UÖw ³ܪ_+E2҉PK{}D8QA'0AXOOFX&?uUŌQvظk`尳?p9.*|CuCџnhuJ{ʹ%dыOu+? 8?N#rq=ænkS 7OȸYpINg3d/h b@jn(xr?#I9"mL?WDed;Z_/;K`Z{Pi-bɐ K 1m+F9D&+v`xV OC2 ? Akpd̪BB2}HvUs)5F(uKA>CyI"lfSMLȘH]S߇촶EF4't(w#W!+HㆣhӍQX-Eoa=۹l1U6uO?!FQ>Jřٲt~)ju.0.GwṊ[O$8"v)K]96~]0JECɘt #wо Jz~)S1lm&)=r+QT[t0 %o}X"A(:&ih躜e;-7Cg뗰{xι>)#8unNLL. Ӓ.o5ԕX,N4[l+# sh6^g;y=/EWB)sGkL:ȀSNS8Ѳ'sOK@ @aq2ouMzq"O8L$$$oAAAPLL/8AR]9TZQ%|A1ܝ2'_"7ax=qaΉr2ׁ6?l*~> K"`Hj|? [ՉPg<WsҹTVlD(|V\76HybXh Vk.,am ųb   i|BCs]xDf̢WSU+3\BJMVɘ^Dp8_"i+.R1wOu֓F9X怞 SKL`PJؗ89L܃MPy!c2\_'ݹE/X-{2h.bशMTDz')յ7[.]aE\afDY XU\\],hY؃G;%tv>uk?~8@1 z*NaBXȈR{;%`a(3!91x9LCY;⸂Ugn7<)7r V9c^B%F18K6W a bT~R.fs_]?k? A`&rT G=AK_DDb-e)*#1oGX[000/l!Ƙn#w}kNE)SB@sSv8_.rp\B1;Y`ܼfW_? "ɤlE, y:XecЗ,g܆+G&D h!;mψ#F{մwF16bF}݉ s&ݵAD^ ]c! -B aH( V=SYFmt,^YΔV JؼnQqq ,zqii"b;9yv xn9FˎNy{EmϺm r}ќ Rcy($w$Gߞ,@\X՞n ~uSShi0 DH+ԡ 7Q"/ߛa:Q2n˟sbYy9?7e&wUDcM}Xs1߃(clj="^ux=vWخ0Ijgaa.jO[a&e9oZ../MiP<]B*;84+/ɄB6&B# t3 EbЁf<ۘ vr\n J,W ^AQ¯& %7{>,׏"C 39|&:kF\A GuAVypni"bHwmMS29r:Vۉ3\cZ?A\᥾|ǡGqPMF6 D4;]n4,.^uy_7Y-::k$q3Oym/r.m~( !4u5E^r1xЁvGoUOӉ,rNO*$mq P,~vxNr.Z?|2(!8SX|? LsE 0t96D™G_BE˘i<%Ӑ h" d!W$AO0YwGY z,1GxAk.l*+J̢!eXn8$B`P0I+%}ۊc"pdԔ"( . W \iؔ%o>@g.W^pUU,~NPy6E#tϹ! v?Uo49~-ל>vA+ӚUy&&XVjwY%vl窍ڑ7m0/V<:[֪jnvߩ3gYn8=tXky!0`I=NE)!r%>s:B#6$`H#H6%M V'+ah[kp7w(|U1!حs<QM!D'֩K#aB⩈N޻1yV(AMiXHcQW 8v1!dQQ#\%hjɚBDJq<ͤIn;IF@G2*,$:X6 GR ǒHmGhJLr(yGriiN9^ r5G_31D`Vy웹M Tf|q8&rU.젷WRq  W ш*H:ߝj4nHl4 ]!P6p#Ԅfdd0ׇsy8cDe;.Am\ס)9s] _kdT8y1 ceϹ/}L<|*e?J Om/hPxiC!٤o=l*30s}톁cg 3~?#li>.@,P `jLAupd&NS@UT|]"^ jbK%E1նnDoϟ"BmP&1eZ0q̿.P A釶 ec;WaSʖTe}5E(9(;bZV"Ol7C> rƤ+]2gC$^;رm(r nl~(⑩ Iycvav|Vg?K>Mv.жr`Z|r(I}y1^sd CKG40b˯W/Ytf/.I611zc @\zh?{wO~PZCu['i|ӗ鶂%v=:l+DPUv|:RI]ny Y׈?wj-73bZq+7z)5K/5&kl,,jZ(nW.$dW[z " 4߿*x"EN19PVrDF˛d e4gj*nDs' n=[Icx'cH\ÊO bҝW=6L:E4+n*c3\N6^#!P b{,Gb@$:D®_=ܭ*ݞ-Zwr#|RaKVeC 7<+< 2 pOpcH#.+CL3'7󾱡\JU &^H5 QTۓ"vHHv(O B#؇B+l"a3_u DTFxsg{/yhȘ3r(-o8Bp=HJ*ݾ&Qt =4](9Gr̼UGw@H/Y/u3tClVfa/e:I%Sw9dFB7j?Ц-3IdRMqس>f!:fl+VzhU#Gw:cb薷]\𝤽1"v?񜱀㡈SLE%6Je5ҮI/H0If6$edJc<@L̢H]FQigi#r~+&ʷK /l>>aM&3t%^]j)FE]ɢL1vvfxޅdeڲ!FAR5ko?bvlKCOl'c67 6Fb5m,{&L'J N#-B 0R<F]Ā|Yp !5?⡜(1Jg3#9$uap!(mpIA2(HҲZIgS3 do+2 0X>/{U3 FHîiR$[-`ybmpa x2D֩IXYt8=ݛgʷ>b 7O mS{FԼ5GC .SAjMgv) 29ݷ)0 [#}%zQ@C{:&֛D?[rݺ"3\Ǘ4Y"Jjf[#:+ш4'ND2̵XГ1.z$PѥB bLN김I7C ED0&AAD~$1K/3%p'~Xz %C]L|| h1c_b)s g$0򌎓R~_gOdT`-k#tt3f^QfDi m,;WA&d4u. DEG_`u˾xs"5DLq.{ґ%z Rp 2**gzuDӚ/ CQwU c*O궧J8:gjב7A ئ{ JݒS'[3X`y8Gu F:~!Ţl~$1?H`OEl7w\ V(yʡajW w&=_ie̿@)ŐJlɁJ}& MO @]P7IZ= ;G Mwl,I>%Նv[8]y mFѲJET~+\MWitTd)Dt-x1xF?Hd"'Ng~aS2U0lM7Ե>:Bj E0G:pXjDi ܀׮"iI|$n+zAm%C "iiԚLR9@cIM /s9laMIK85Mws?(GS9x,o2 Lq\ &JqFANzճi)<8zcM%&'|*'XyM/y<¼Ks7PI*:'/D2Zd>-VaԦ b?Z7`=btGųϝΩczLVBx?3&Y#c;d+9H>>rVv( O7aP|L:vaw8fع=BNG$f1r d,R 8Ǘ\%pv9`v2T0# Xr—!A*;=>G M`^(`e7J+;`FeA6ƀmPw&) F~4Rpi)ɖ?wi%)v&gw^{ssk8_mu6U3t|sHyY9.Y:4tbe@ᄐY|f ڸ@JwtG]*gc|+,롑zbL)-|Z:NYS̏F+Hyl l(Q4b-`l8qc ‰~XthɆuccccm kkjgsn/բWo&|n w`j,rc$ &%.]/u"G_UO(%y0m(u,bXb,DRBxQ=1&(@cш1E)ͭ23A}ԋ7j iTG ϩ`}2`{ꄰɯX@;,ޤI`OV:y#՝kD[r8Ԏg}9sWX3(`?=CŸwXJ-<nn7{aX\x[-@wz\qN|o\z9+E$4MHaRFqī76#(H1i)bf^aA{1?10TZ=g^gd&%@-m,!.d9/bk))kdLpC'"'*p#>u5A8ۏL4U ;TL[Rz FᨷUjn8!n[$`a D,H8f Fhc1b煽WA='\AK*ऊJB+3)RM"C=c%-hňU/9N1п~aKx.gm?G^ɑ,$|_I8ʿ\WQ]N05wq5|/˗~VqYryQ. X-őLJs-s5ژ[|ʣYS, JI i5D-WS4V;x֧8i*ٚ3@p}s.xr!AUE'$ݹM)y"E379F[y"?^6CSdZƶV@ЛQ~褋)=ecD@Ǟ9U?q[#Lހ QX2RN)/fyڞ8ya ܈]tR8/[QhV{z4F pi">6.#*qlW x1ء4& lZ贓3MpņS3Y<2\k^'OMpJΣXp)`TtM{c_3~i43*W3XH{ܒqَ3:yoW!Z$~y9_[`ҀNhI | C fԏJ6JW3RnHVUX3IbvEq~uE !C A  C<1 !B6B0.8  \Tq`ˈ4 ߐtw\ٙ>LO>m}b:E|)YTSlvH% rK 8DL9ZP@g kuD4rI(@ʽՏ-q`DZ}pnfik;",b\MCդC}Х:f+^"26=^zq(ՉfsPsĂF5nu396?Y䋝!>(3 2s@Ñ4f r(h Br{W-/G];<<0bWp*mm @ Q,k\/=)U| {;~V'e|w[d1u&{&(+2UUMcn>@)Ðf邳3Å53,y/CH2"(2{?3q喉ڸE5ݩV| MJcDـćxWv W҃/ ƹ 8 6@DlXR<0t;@cܓXyuS~C ڰ*V(S ?p 7;(Z % 2ׁu%.FFyi ~ZQJ$3>k z`I?Ya5rDR,ư c UHՁdLB!!eSqd 1 ˙I qHN D7em2hCI&6>92)Y0aᆶo*@6BmSMꘒk8`I++'$$1Ĝ eLNQ!N 29ąI HTJY61X.I9WmEԁuk *ip8C4(+EZ8J/ u#z &`Kl }zF!- pY ZFy 06و(,AQ<=1&@dVv-{\9f:-G4!YE)J@HU G &K#a\։Di3x@l yoz=a}`¡Ahqc26U@d"M| `2 č@a1 IQdYϻhm!lA|4B8 HcvJ"j0W,1 5Hsl@m%A`@IAHTYzI1 j!fkP12V)"N{_#GX|<;b* ^T{ݯo=|gqjA6|=b6ssS&Ǧr|ڡɑiyEx8E~A@g85;{C:d58`5x +O7ȓ?՛@C)Be"b jZb01Gb܄p4i-s1:VS|IRtH sSN̢[#)-x!s%Ք~%ﭥo̘Ipm3HT3ocyOp"̀ WfneDEb"@>a hݘp1;$H_q?msO$ TgЇAA7z3=5gvb[9v:8~rwȚ k&RDw< 4Z,"[ŔJANArIiX]"Q.|=JLR͸8F|'BdT#D a}"qK.Et ^ePŸYÜ(?L0Idìґ^A,p,[sCqL6}Ihtr7;L2rTxDh%4~&>]2ѕfo7{aC$x6΁d*fDW)GrJ%pm( 73:M q2=)#RhP[g!S5cJFktMt9Y*k0 M w@Hmd%ބI/)MAh0o( :ϋMr}q/oϞy b![@tWpl 2TiXX?_-ccƍ !LAA-NX5IBuѶ$HC{o}7#t""lXjܔZY8(.7bb$"|S:W+Md*Mv~erGgȕ~IҥK|ǐ#moG~c 6u;bj=;jo{= ̔ Qr&`L߿2o龞AnNM3rc*5O!<\4VM!_qnMC]p:˳*!/am$V&䐆oDѽ:;E7JR"6!1/`G qvHI;:^k)kt0* (,74ӒyD*"O=P?'݉'@P'R"~`Rj6Z$FK0@>w2VQ ІB?y'`:$dId;.A L6- XcDT`&8I<|i'PT8} F{:CRCBeoN0ODĂ,KD0'N8 Ub- gȳ瑗|J(@}6=6rLrX.|(zD#@>|H|$ SӨC' ;'(}Ov/# D!8 XY7#Xњ`nA$xjsj*_ (,+ o0"I$ޤaOس2\ b 05q@6a@,q^IvWo:!Y5(9vO YYa2#IH@t7 Q\J~)cH=(rq\\KӚ$/DQ$c8͂e~Ka8p8[1TϰS3 >ƿ5wΚASOƬ> hj Wֱ5|u =+ .i_lnLoR‹т6lR;.x[GR _1nbYJ}Q m:׈6H1Z.y4|?͌-ҴHqzGS^ <+PA.1I"D!'3x(ƂX65rXɤ<碁Aau7%tnb]QZ4q, Ylٜz3m#-cfT%$9F!cdI@p,'7x~eHꯦ]aNeUG$l8 7)a9RQXTg렓 Dtq7DU~$`Xu^bq@@6%jh }f@!#``&O`@0:Uƀ  [(C~!*el8.!"f; !`G}E)JD 򻡕"ya%ɽr9E) hlAV( }J9Lٛ!q>t<6"HYfQ !hߔ?kV/HTaſ y?UD݂Q URh Pe W2N@ה(F$ę6g kLUšS$'˝>z͒Y(S*k:~WS2sGb>\ )_b0D sy8 8SaTBj7[ wjdx5N! жdFHA+Dr''#6 evP83`T_gԄ E:8x 'Vj/Ib47WU^6XdNA,0VsA\4-MĜril۳!&9jr#딕Ɲ_iLh>JkLvmh$KVSSboCu2|3}d$~43`#H0!bwDg=`[\C1U"+ k$ߌVfΩ`bhmCG{Ɲ2 < ~qHޅBainjhc'p^'E?WZKÁ}'~3d^/V WL+ J#M4@rbe^xZ=g`g0 0-,rV"EF@`25BHb{&1c ΅=iRIlX܈W g.֩ w3gEf)ݽC ~7^ HϾ/bJrHq$8@=aI$LOWK Bیţjdp7'\D MT.۝6X&cq,5AQt)Dwc2yݳB_5fHP G_xf ):w#"7 : q)u 2̓YnѕH2]"OF9*zU!(bx|E{7.ur(W:z!@AHA[>*Ƴ?daۚ9K2&z7°E6]i w6= nŲ]>E dXXߛr\aq4" r1j/?!߸0X68Mw /Mp E7ߘc- I!.B\E,x*z886!1$HH=kO sz<ߠ 8LfG7!܅ȝ90s)/ADVha2͝xBEY[8i~J B1HV OcUxc6t>(eg] tWR>HNE0v-CFJ"djF u|a0N-R<i=ICL rtf]7ôjHcD (pfI#'H8;lB $ޟ8ř*T?klt!x{FRDnJq17MjT];fR!8?tbg _)l".)g"g&1Ӱ7dapy/vX~Mcp#z=BfnQ$˗S5vl|XC´_}`OR]D> @ZYvPUĔI2pEBR['bm#pf|bOeԓ8$ ._8gEN2SxG0گ(40("Rs ܞgY;mmmmdYXXXVi:B8Ot$YmxDGet tPw|ȝC͢GLa D0#$ggDǫVÚ |n jTj2)U-ˈ5zEdL_dtnLZ |E !UY< I''PFB<BYh!]K%Mu?ܢ~oX yO̜%3s_fXJR{(2Lj7#$)aR ꇔ<>mq"^M~/({qٶnNaA?v ]BaZ4 A88щA=f4~ \000#vYyeg_F,;rds(HG<_z-A:d(8I8!q5Ԓ0=hǁtbhERFEm6NMD؜_1d&+ΐ %Ս]0R٨dكQ=52v :r3Ik=rs>@ L $Y tlɱ(CPz(K)kOZ*TB 7ay FdB4Go&F|˔9_UɚhӒ,ؘ.{3᝶vEgNMvU/6lMO ,oi-&;_nFĎbGGDlK؇RS[l)6IR"sO"ȐEuo7Af9 [o5,ȪMӕJU>% Wt O+u&ŋqƩ%=BJƤc|ip[]YNN=-+ XBIJtĐFz aX ^޻+v&gʵ8s;[UMk(q=7Msr6@t|yg!x=jXK(\C9e3݌dH_, R O"PrpJQ^#7"zB35) Nqi3%@,=&$YFXE)*=I6ˆؒ(jC?])%}71 ;VUۉ!{>YK>Dhhy&ύ\_>3# G|OfwɷQ|Ɩ ? 62IR5cV T]r;2]Hr~nЭ#TrPt F{M͈3Vz98#_$F!k8Un&~DKwD쳊'7U33}~,GN@&˽;u`-hYՃlɩhj[YX+xtEnpҀv@]6'Ƃ!lZ97ɾAK$h= 1jAМ"Gyx|)$G߆q 6;90DHː~̥N=B?B!Ȕ$&`f8İkk#b2CV] $(DugllbDEc*iG^֠`|c%ٕDvM<)5b_` O9GTĥpŸ CeV=`sP^u< ~+o#qO8NFO!1[h|t4pC:Yy_s .>,r)}45I$n 6ƸAaH)GDie.W&"IeA.ZC?(_rLRJϋ:Ţb% ar(D LJwB$X@`x QY!:zP-b3HUy2C Mgψ,/Mv=c/FNT3) ZqqE%xHK7o؋DZc'#)y.a!7uݲSFJiy8 [RE@~%Ez/!Nyhrh$! 0`8DfaufFLuQjA "(36d_W)?!ѿ*$;F8?mTѶͭÂo}L>['Wp(:ˍ).چ,262>?'npE_foAla2ƯciS:]~DL y5\JfG$N~,ƲB=LE /XE2JD|"|L!z Ry̹EF&~rGf63GUN+=GT"#)D \!\-mp9BXUWSR\,?,hW"o,vTkq𓱜-G,(vCJ4)l]Lz R3 z /yMyN6HVrXDpAf8\#Q1N< 258hQZקx{I]Db,@`-b$I $a:&-ڤ -Q*&WdTҌL` 9ZSjZZZjR|Qk_S:}ӡ$QM&6n$+TxBrM}\m?9W#YG-S5Qr@``ra[tY#x& zAsj\o| "Z;Sȃ(=r 1B\~G"Y%.UPHMLeHQj#|DdJ cmZX&/O;PrS#E!)JqQ/S0 Ι ;sz>!ǿtf`ψ/~z""c> g?^IS/$Q#ԑ3Mhz aH|u1CE*y%꽨YF0~hv.<-NA*ewܘf6|-b{~jV]~"n&{nr+*S=]eMLߣ:eg5]w/myg|rN ֆ-ш.&Gʘ4a@m$EWQت?`6)/A'f {N4,pݬ{؝µ!#RUTΡyfy= / # +^|{Yڹǿa l5z2; aR =cD0Pghfs qC)`_D OhGTz,MhI8@͘FV⋠J #@ex%cMAOIDZnl9x,7u6f? fYHly&${gElH r`^lv8x90!E]\cECs+,FlQC EӊPq'i"@8Oe>CT)`FJڎRG+[,XDG2|ax q\`{؜;Jbiq S싍o tGi\-bOv!h~ & )@I$>H1i?8#ڥ"2؜$.ܶfOЄяg8(Od|e旿pQ 77+ctƒA'{Lc0dP)gT%]yx.($5:[j)`hܻ꤁J-h:~,v(RTM$`Cp_g e^Ρ ]x7 g-Hu,0UU"ȕIdv=8n$f˘5tԺT'alvQ3:CHaNfDJApvR5"8m]'#3(@S0t́)ƣp!HXY0m`jI,#vwE~w;LƤ쀡AjI*-X3&DžI+~*$1]#tCK B%EdžQ(p̛\#1JA(gAc=[Ɓ9PkO∋h,WqQ:)Q%9-L_Jؐ"x'-_s@80?w߶n&(b[lDE0PiI{dDksgA%($;Gɩ?hRѣMvq|\J!ҋBȖ1G6s7S;!2I:خ%Ռ!+ O%T|w.\HMI)ﵪirf~iN!"uyW57]Ȳzq, 6f,)rCstKʸ?6gْ23b0 AsL%.r7'yQ3SIГ#I78 tga4R~Hܘrsau iA$ߛbaS>i0DpHp9VTwn)eGqs%_BRq5l E,ERVl5𕾜ڒ(KJ1_z9`}X=ľ:gr!U,Docv1%>UTDs Qei,]t~PYo=x39EI  +vX|6A¬PqMע Yzl)j VO^1F9臲E|Zo P?n9nJ5y'MvƷP~ Q(@cM=}D"a8 N |jJfԝe2Rù02(5Ih~dw0v9s.N ɉ'ѸیʛXC / 33DǟHVt݌Ag ۥ`Xzb!QYL!Md-~]YP.|5zD/u XxQ}kٱ'6vRYU"̻UjӴyZ,& mеŸ f<ͼW/4WL@?^ZѠ1tΞ@?\hԄq:^-bCzڪ[P2:" y +~+]FvE &٨SX e'14D K!? I#DG#3x 3p͛ R8 (P³baSR7g6Q7j řs`LLĈ%R)kΰ!Ddy\ WѪ9%15Wy.VJ`lmywx>A !?P|DEolI_J>n]kJ:68s܁`}~(]vڜzRS V8]S9Κŧ- T*`T,ll%Ms˜Kû]%wQ+L_?`0>K$ H#؉A.Nм=&O> JXVc7<SuƐ\!<ٕ9cŸ77$O0.@ҝV)9X3wB5++xo!(r+$* "f(9 WC)hwEjp~,ֵi}n8+㺃dÉ??-S LhE!8$7lD.n"1vRsxa.ehuNNu@{ 7ǫJhRɱK(qmX.Y a$%r/G];yXAOvQ)2ǵjiuNNjR0mW C;? |80رMzY!c͇NjDFf7v.k2dilD{x3n9I[0+p(rPƴħA,Ɛe+iOqQWn`}16Y".ˮ=~({!E{SFc'YV$}xpjđ|f=T77N Tk%i dG ho;!~(M q_GhsleHrDXРH`N-6(I\pN!2Rf%Wxh1:#@\GxUIg# EIZCq8I Ѱ  Ռj:|ƄmBN#%ϛ.f5^JTi@n0Qqfs="pf3qˮR\%"K-M0]BT dk95'7Y EьG xɍi/7:vƬ*p]V|B| @;4fU)2*(s#ԘH$L"d{F8g*ÛjR$ E5D69<p# L2#\2 yh/":D#caZC=&= G5E(O\( D#G |EnɔMF]{+qtbTϸ,HNA[7"Qoe\QF"ɏ0ɗmPV d;%#DkߘBCcby@$D,&A17e&WUY7pW%`qedhiǼTqP+F$To{`Y3 ՗$5 Q.c{Z>l߹U0,PC$Tb1 "ԝM/1`ϟк+pT04A&hIL2P5(CkN(W s#+-Pjg8Ru/TeFV{Fks1ܑU@mĵBI;Th: G&6" ‡Ӿ-D?hIڙzgrȯ`}ٟHA$ HɡII ] Ri& AS0#"uueJ\xLJ+lN i59qNqu`VlXqTлڧ}Utdq˔F`F )֙Ajqblwuɵ۬2CF^aWc*)֗G3D&cE,])VswB _s]3cLܟt4w}"J8@(b;ǩ<܂ |?'Yn H?DcPR![(gX78J.UzHݼWr x.by֣C;#(OYcG򵪤=EWR!K!j1,C?ҴOژ"{ D} *wiL D6;4ݓsq<*e("1jN*$y$Bv'msb%_[Y&6ۈ]1bS0Q,:3']Z ,ԙW;`($WwI{;ʀ$"Q;e9,'Ϻ[%d2Y5$Q%AuCAQ/ ng/:6}C'C "H}y A *A  $T^H|d09c/mVg>G;Bt*8~ ^f4"@MlDFo<1xtOh?"'yG]dTWoAViuFF SC6!N9a$)?L@@DH,g @1KUDdD~Sa8 SRM8A*4I*Z.y c`Y՛N$nB2M%u&#i}>A08VuՏ1?-aP;gi&.9P96UIHbb~2+'YN;=GPK:rk4l3uB^'o<፭H*lrcψ:SYb K;j8EQfkJ-M̛@$J###r+\Iuّz5Fr"~-uf>8ى40[ >ki/t1?gLif-Sǡ 3şϜ×ݷMþ5cil邁JlL1p0:# =ٞja)}"j9c=q9ɀ΍dl'%_zb JI( L=$c!s>=LȎvūJH=s8Ctt5ڮ|AzITrcJ}h6mxL~4ђRO 9+޻N+Q< ^ FDe}Q+*xs^N9;yY͠4H[0GdԲ#r7\aN؏ؒhCu!'u @@N HPi$)( @]&BziZ*0G {)?|"IWL !_I=v?S2A8)JRbL9wtB*p>2Qc8Sfq#qA,s-|oe Ye+ҳ/(yط(6H4yG%WF$2L!S.4,N#Jo?B?K =jx$er+RT^p/e]?ObSmxDsbW.-W`1Ac+y&L%{l7OR9Sr/餄 ÕE^||VBb꘲bh?GBYJ1.>f$ܼ #a~$ʃK|^ U$y(pY8QkF1S5nԯ|נڷZơOt+}mb];D>򼝼T "aRD ~? 鳀5+@@=@M 6lɡ߀hN_kr"b$v˼&[(ڸG'&92I(IIi_u?('$!¬w&r~H؂,սgƚn`ʥ`kؘUxcd+e;1\J[¨Q+Ej$3qgiXv `E Q4M#EG&04 ].ߔ抠ɾLlQȼC֓(Mβ=ُD=jKy+p? F*2U΃2H -g!xF=ZB㎔bouUj[ 4 O6Nߴ#'^m-䥗Ƙ#'s^Gj&pMF¼'QؿJXxv@ 뿳 [wB4s a('":iಡ8'Qj66Zgx)42^æ8!It+ s &`~*@(< AޒH8 O^xm÷%{6\uI3db #F]eڂ od9R¹ srj 9_ PmԴa:b ~'EU7}c\1;, ^gaI–Ix-t'h$e<)i0zrE%z@ MJOl`:,ḼzH >5W2VD@M*sQ#BsY# *l{ܧ!I8{ow*t Mġ厱ϳ=R'-?;}߅.(Jhiku:R^rl=5Q{]U#kL?QLF`ԇzt֔F'DQ" U`;M7wrGnVs}&K(#klG_8kޘGQR'%˂?75e kqXĨ,p@RIE,fmonzzTM4ya70dЌΖ Ǥh;0D@mπ5xOx#HBK>$syo^fxE/8#MV(julj@OS`*z(H&'AT@qIvJpU2aaQ̐\#Q7QqN+^onn=Qch#F-H0Xld]=H1%\s<6 i<ׁH#_HŰAL%|mfZMKurJ{!a]:Iza.i!52ߗ roĐ5/fdH?Vr-]cm3YWnΠR#J]<}D";c=tm gDz3)t[(<%A'LѦ]>s NjM!qTCM&fh]xjWaer{%I ( "bRDuy Vޖ2$1?7A@CIjLH'Zmݼë?އ]ndX&3[lʨQkdAJ6'Q-:. pzBg* +iߟ9{w7Z>l"8,`@v{;he4oʒI!"#i3j ݵ+%4#E~r0hejIŘngpŔ9:(ڦmH~JxA4DSѳf#يW_KMEU(Q7?rJ:6w&mt6lZ54FyVZT|D$Sa4؁)L)V8SLjA1D%k7;X9He/Zՙf>;,Y"B:rG l4JrDš8bjOXo$;u&xLi=!$Әgtʆ\ȩw6"bP:FoG4=x*kM%mAD59vRxP 7=Xfme:uVĬ 4F8NPy~kIi:>D͌ ޠG ҡL?uUbB&+o'7?P>:v:ME|;+Fx~vf  Ǎ)|r{Mzqi+E︭||$FUwQ!U/ Y-8qBRB Wj;))3j9dZAm:TŪP\Q^ۖ!\& !K"h#t`8@ W ǿg]EpН@p@w)w瘛#^J*ȵsQ+ ?)ũ\VfcHɉXݰ1'*(D8V7V<+<NCjJb◁ܾjA#ԝ"ԸfȀ>gr10HYېriMG#:0f/Юۙ7;͎fź[Pۄu&J>7= / E]cDLМ#>Z dR3<}G!]!2P$ovs\+/}Jbk̀},$=JM`(!'5棘O(t :B~|zιN} ] u,%3≮Aቌ&:™L:Lv&%ʗ%.7+{ b kjPɕy>&hZqPY|spu1#, ZoϯRLfc*sf%=w/j.#uʭ:VQ <<㒽. vAy"fpH½!8ᤤdnvJdNRKb42 .-A+uO H2}IN@RBbW!:4؅CQؼx4GpIa9\' T{%fȔF"|<4m1|t:tdr%v̇IE4 ]GxUxIg;F|`dJbH[8EXGէ_>XA@Ujmӕn>O`;u1XaX 4yx>N 0U{ys+L]dAU>cʛYجB(B:fx[ӍpBG:30q?iNs'#P|=NGJl?ĎҭsӗM+|Oo -g>ʱ9I|8y짖K#QZxKyiGvNš*-%\FdWNbK"!70%!ΎSY!"ٝ~ֻ5xp|Qe|h#ֈѰG"'~5ck25&p _p}&>)Q#{+QX}.JE䁱`Ty(YCo8Ĝ=0D#bz7c.ٖƁȶƗDҤt I`N_f1lG>wUƋihL,1yK э1],Cpf)>(ͷ߬-!̞fY|_<.p֣χiV,'vǯnsyD31tP~x=aL´d%5ql[څZJhȆ֗޶ ^"f Z' <7H\<#&~\1Y7H6"=& +PwC Q ʉg4/;e`cyq:酶esCTBB2sNpwD2̊#xppfH>vFqOncxxR3 W*=krqD#"f+U;;oQ*kx#. 9h( _y/Э"i4'D:R]g.YȐ*)C$|wAJVtKD?br Ctg ĸ=xlvpg@,|j1 0h!ǃ R)`aE`87vk C!2 aߤP,1!P'nv7%ѻNVīK(yfABh[sBZ&+Xe}N)8pICcgƒO^ýp#8!/+j,d nӲ,9lWwY [jdtӏlb@E{1&X1Z|"rRB%G";*89_˭+g&sfW qYhHB]qy~H^F0`3پe}]7}QTFuJ#dX 3<Ҥ3kY3BA R5\7b>R[h[f1MMTS}M`fk?Hv Qy:x|> R*D&HAS#*Cq#(0D蒴#1B&BJxU:'ܯT?옴.&qʶC@&s1(TC/l)Gb6^kUȇ5 Uw:$ UG@oLTs'ZH`$@ڊ!y|F*?heJ*MMBA6ß;yAɾo QDV[f I=˷ 37\js?W@_mP̎j0;_/dj\!֫H5ۥ6ǼoQ፥t~NT4 c1Tƌv+˭SmI7׬ǛjI"t2MHz`p y1AD"fBIS>D1AU uYݲ3c((#ZGZZVї0;Z6_q_PuCLy\E=' Q2ݑ" mEW⍡R{/VȣY$jp^,aiW0+ZT&9S?D $ДQ%(Tsh9$uv#\qCuiνWD@JB=.ź2J |EJ,ԝg&p =nst^-O9wth[85~?򉯐z|4Fc2]D{zGhaQiOD)DFyA21NriY;=_|=}ӊT,`G8!0CbP ADJ1=>1qy;RUikQ*&=&c^ L g")mT@GTc &z~EА՝+ bDS #{+ r`{Ͼʷ5Y0(>?xA=҇6eh4q9}WE←b&G t;D0DoCaꑬٛAxm>#Z>&v!OO X^3 ,.Oz3BbC_DWHipT),g7/D%OޜJݒq ܸ]Z8`S'4 :jCXH],D,%1BC$$*R/Њ9=%x،bIh3EC IY$9itZۗ|1pJOE/Ac`dFwR pP 1B1& {dU3/ԻϽw#77@F3at',iID~+?{*0oPv3u<ٓG,RwG$s]td7wѢ;z ^&0A-f7K$"1f FƷO9.!e/g7BOlzwM M]`WAi5h0JM&j#3rymEz Tzl.bh+Hwt j3_59Ln1g2wvyp4H W.GTՕC!7<9#3 +%o5- T/Ո<"B ~?~$ *5"I--]{4qIMl`Lc胙\Y.ǠE@A i +(e!7wWJUuGpA]M33S#tTWvUrNʡێ5Բcmxn^?W۠̎|$K? `.f&;.)$ 2[)z*Sl4GpI9n BX`Սc5&5m|iH.:3'b!U$˫-|ZL]ۆ}NȱxYHAT M٣ k'+(_c$;H %gK|Hlʪ g 5$Uehbc/QGc،O״QۦkMH]%k?4ʂmd_U+cVxWjuĦ5} :roh2,-1ȔVe9N_|% ~h p! \SUADrL܏ݎM 'Z[[ Zy 1({HAKˀmiSjF] X#r#CVh-+a2 ET Uw@7Q 塋ʁZ$#_l`ɦ藒G\DzoN׬`m̀7DiU`²1|5H*pGP AsզGyq Qi":8eLrv[1/$B7XAA~8g(4pPlx}m"8p?@,9g?͕@kgJW 9kfK{Y6@HFIP < "GxmQ2oS%NgeL]v̳?K\ 18-;xrB@L<\n653Zf?Tz: 9q~xOd#.)𭽉2oW[JÓE3t+ٹ{!+:fHؑb%vFj[83Hx?1=yQ1xJݤLgj^ki&G@a=$ۮ`S u\3sLb0ݬc &s=o(˙>+J#L` *^w Gn weh`3r y.\ztiY&ݲ*TqTGfD)3(;AQ4vzȑ$00cc'2(,Ee<όz 3~|!rz=]"pb &}\7*K5ȿ=wB LA\=ìXQ9/߳ nEx~ @Q<YA$U%T-gdjp=ЦtF~~OKrKrZ_\:N<'N.ˀ-s mđD^CГh)xY :M10iYPaj.[iȗpx _/fW'V,!SsѸj>W2MTJz$# "y%/`.J~#ӣQs7eaՕUtK9ACn'(FhOބ~Uߌ!' KqOV|5'ZOߒn{m N3KW|t)va)ǁ(E@UzҤJRDik̜YqEio+,ZevR{6xwt<`p.\Mz/f]q2,[F'oG- E41~Ce:8NQۓmA؈cN <ւ Ӳݽ!T 4>=6TW0#yˋ ٔ$aaUUZJֲl(VZvT~Cw5^mOMnN%Z7yKtQJAnm!l v Ff)`!a)ɘM}xtMzRjqP\9V4u>b.rLu?.h>gE3h2#0 K2VFG6@Yf&42-aϊC*g7.O:P O97ӛ@6DAs{$!%y J-d "XCxsM/ΠuRe" 鶲vqK\X}@fPZS~xf(ϚjΒ^-&p""w1a=7NE͑.x%sA`\oĖM0mufl[ƼxcO `+;k>M\FG FpBB0EYЩHZI}ګ.JxjgVrݜYF-y L1Xv{X24~!> 2 n]NͩZ-C%{D)Ɵe"Ni$9/JCH|HSA!ϾK3e(70{f9HVyUwkO_ 1ip|'4{m?x2 7_!PYl(\o9,M/l880nWI\gUxf1o^ wzŝTQpTc ȹ'Ww-fyPf qd'H0Ƹ䋆@7l S=[·F9њJe# Ι?3 CJB'#|9}9 avaSĝٔdCPW[6At$ au(2Y] 6-W L9-?;h +Vgr݊ hsolaKB%f^_&&gHQ{TzCaYzPqB4 ۸nhD`Oyk;w_=g3V1 R-Kl3gYg973Tߜ+d;%`d}q)4ab^1db Ѽ(xɽf< " 13z7TGo"ByA==P? +ŽN vc05 "BltƒHy9.Qikha@휠}۩x~=wNQ O00;g׳!@CJ84`{ N,!t!$V5#H{j ' ኝ-ǮQ\9YRLGkeu-D'+`--b̓HWpMSeA{|8H.GI3StA[c+06{x|wa1X]9Z`BWxl5z]˱OҽWpw^/ ak.l^,mZo~ ϔybh-T/˓rcrf?!Y|0{nwXcWKENe6sX,vm7;aˍ^: /Cy^1cvlڼi߷˩oT}ݥNS?OT OFYz>1MM4N};qj3M̓Ι Frϭr¸c}inay?5~7j u+]p;~ޒc\yBRuQsG70tK`r_).bPQ:e@ȡ&CLeRgݜ QcEa}ɔc0v&mSCqP>?.98`ɐ~9FuJ1:/fg}?á/07 f<~Fj֊U3=ZG |'gQjx hh(AEUy mNSf6PZDpdg G:B֌Y KgJap].PlGB:<FG2bEsx-)")`ZxAT N`ݞj%)R=1ҥxgyH/N{=J>xXXVA`h& dE$ >YvGDLA//Fz;93*Q欃jd=F@̂?+3U BznAښ&ρ#eQ';HnZ}oJ@'AX;ĝLSETzAM!8KEyIJ7 a;#4I3BE܏*QV.2VG"Zή{[5f>r@ Re:#8ڏX/xM}K^=ć4T q;` wVQ-(.k_92-J! l2pLT4:AT'4vjEjT~j}"əi2{E5(j6";Fj7QrfsHTqƻnF'2QGT1=efGP u 4T#$P0GCa hCOD0IXh4${Bl~!)Ks͉P OOV%΋ArdqC\J" Ĵ7no `g8'9B XḵbKٿ$?E0#}ҶUSYBkـ!`Ύ8:iZN.僮hU6^70 #Yo )AW5*%V{5\ _K7v&^Ќ1/8;^XӈmQ ;HhDYz90p~윻 !тAPX.YǂRdsW]qOp1"{ol ,*JςUKD/L d]p,YX>wBkrɔiԄDN\*g,Ť;v5אTe]3 `NMIւ dz젞„P\#LC7i$r߫57̺" BIf7( 9;8mxwXו̈;d[aFpf 6,`W r;[0%huʑ<}8(x g%{}5&Vn{<q?JD} B<*cEbC=*l2$IuMQ^r9̉${c~u-Y6ڵ$NHEXE;O*nk.`2" ȉ$k T+]BK+u9K02 j%ZZK/( eA9q\! sl=P88fq%eb z}t@=Eᘾ0 Z6(aLLvyuVkX2)#L5-Ps 7Ҭ* x6{׈OH50~ohΎ'ڲ|21 Q?ÖRoFڕo'ti>A S$!6-[mb8Wff/0H[P MZZdlđGZ%F<ņ,29T` w>Heo$xK,A.8=eE*KuuL}ZlNQRv;;]*& k\*枵%z>(x^Ԯ˛Rhq;Z :[؋9v|W~Gn!#y:^ߞ b|s:.껳b(fZ,ICUF~vT- FGwcԺ Æ X4{'ò1;/ȄCc:Hf 3Ј% oYȔfc՗  RƾDfBz$sJmLK#IB.-Aun.z®smƕtdDO_Vf I*i0j Z\ٜndas͂HFN7s2b2&CSNƽh<ܽ҃SfONA(z7#uQU !) dgɛͱ60x[3+a* m7KByוUOON߀w&:_78pė1khũ%l.2!X(xL=J']5ŴpNv߹"jA,jP[J#Pf *=@Bwd5y8\1ǑӝGОLK΀&S*p]JsM9 ^Ғ:HE>x}~DaķK5d<&iKVk?n`e9Lح=g&zl.$?Ehn=6CD^|26eab R k_0I ?&3l7  >O0:}YrL(룜b["B3:J+QÙRo$a=+ }JP =)/E+O %p8^mm*[\՟U}J nF]w +^> @w{6N=~dime-SXF-W;'ѐ4#zm``"!"ȜZg\WHv&q2ćʪE4Zp: B-MY %x$"q|eg<q@d wxBi6ٽ6 Y#FK)S7s(l|Hu{+o??ez#0?C.:N׃nF6,r }V%;h^2j>!sX'y _|&Jtja~s;d!\ch^qzBl(C&^FH 8bCWA#ehv҈aNy`r2w b q y]>Kl0c:QJ\]S7i7>QU| SZaAwBa`ybwΞfM-7nn+"}/f0Q ;lɲK|%7|0h¤2BrhjWW8vԴ(>n uQg2dq\*-' V`A:)ݚ?>{zpH%;D#T\3XV9(d5|,Hq08g \ωfG.e(l,6̌ T9niJ֫~=cHIɤ%=֘f&.2c ǟU2{d,j3-/5ҧx= fvXdvg\-E<DzBF +x=Rws q ajF~Ѹ6ևEQ-DI6gxcfلj&w1=6Vcjv8 ˛GJKAؘ[ꟛXlX+n9j~#>dԜ)3E$'nraK1؟3L@ -c[LQ@U(JQ^Kt( UR4 ^~ -IN1j!D嗁wl017g,=paP[<[Imw)Hs+fz1uϝEj =#~>RhY="7s@zij(0w,)؉sq4{丟rJʧOk+NqiCY BrO{9#y~ݶft?_=D[df~h?KWZZJ2ʮ?tzܜ& b >&L ,$F;/ñnNOGώl}DPCw<||q L E!b|שU>%Vמ3$Noo{g#l5tU8Kuۋz୐NS"R;Vkڋ)ȤS6>ي˙Scv}tw^՟Ceƪ rUGܘxDy*|bS*%8rcpU4w}O?d p@/PƎ:sL3@G~zCt:ebFFp|Dž ⽵ss߽<I7Ds c9h=3 بc4YF,"""KNM>v<;.%tKb(&K2$ЂiI6]feO} '21pP02p0tx `&r}`FYvO8ZqAI6wU*T&%c^o}jqL ngr @1:r $İnL$Q KjZ 5=z6o=TJf'{\ ! 'e7W;# (,us,Úe4MWWiYj)؈UY,q2܇q 2K^]p PE'T'M!=TX:~mFKd-ql-+a4])`B{,@,)U{ B"z% hQmLK'63rzq0bQ=*} NS{'3IZkV;Q`<8O Y+&``Y>{̬9+T(J/U+,7hyLrq(dSx+ğ JhQm{ ƶӨÔ0R.ǝ8 ~D]El[& U!ьsy4cgTNDT.g:jBBy%~s %\9>L!. +&\9",ei?r2|l)qrxO-%+"1gI&Ź<_#&I!vAqPmĖ&7^mTn"J#_ٰ;ɐц`-U1]T Cȓ}b9hjd筱g(YX,LVwIIVR 3b;%bfa\F0a1XmmA h >| ,RP?nWA$$:|[MлB9g%'?NPp7LJ|ԇ&txj!dI͚jR/JD?rfud.[V?>lDG\ǚ~'`O պ$H3,=sgj)YGq|Wf͙&-'\7ܵ3YTzX Yڌj,Ɖ^,`;Exa7OH=ð!4CPy4悠ŜW#T]l=G0n:շESe ~&/j< ik +N8d|FH4ҏcp%hi~C(% e$hDǧ6l% P34Pb`C(Hg_Gc p7xT%񲔨ZOXBB|gIy}hOkSl"g}SO-oI jsQo0AJ3i cEDI;FNM,ev9g`M$Ü ^.SZ(&kV7(甃~8gP-бJ MvqV,}#I(n_e Qdv4D# 2”6eZ ^jj!tʼnĉJwYha֨B2t,b=/2,Y7( J!Bȩr6Nv"t,[bNrg=kŋ?b %ebSIdsg}&!(<8ã}?Ʈ0HhY[2kWúkԑ콽<0ye !V~ʚ(xùGSTD/:L7O[t&0PZ39,ԭ6gK {.#$s T ޓG"!r4T(cG UFHi%&SX/IhN%SOو=-~6a8uŞoÔΣK .ŸlwPt* #~8Cfx γ-*~IyQ}BxɃ(J-3ctsAB씨Ή'{1O m09ӬpM":yUb 4`F2Ax?d3rK%'|q9@ Q'K)HTg"Ibj-qQYhI4hG\6Q݂M<aލ1 Lo9} rs/^uKN$fZzT-#\V1#cg_,}mey|.z߂8Nk+FڜMY_)$fWL[xT 51Xa>.dG`TI`O&%x>l4~#gFabJ؁͡98ezh@%-CF=PħKipy*P[7 mHT)1"CQ~ܙ|úq1*矊rˋ aqEW}N3_3!p#idFopQ&(&vxb$£hi&v1;H`0 R6\$chI`){{%߲-y Wg?C[$ޏiCD%ba<1hMCVLRNdOSJ8DgD>mttADmc))"(x,,]dI^vws{znT3Nx$ [S= ~OtEK$ fS":BN.dL&hONE;:3 b#V6"D|C@A6j ͮXW8*NH]X7ڝ࿷`sIpBTyvg8 h8ܱȆl{".DWrCF^d/z2̄`AܙRt@D-G;BVduءI7dJ%Mw&P[ޓSF'G7G2-ٯ?w](P^z7qRD) ⇊_:,j S"q|=-:SxPxU͆QBOMakNy&b'uMMq3qԗ1C4c13Ĵrgg(l~2eJiR=e^7T^=3G/ wYs%سǤA[)\򋘂C JK%Fi!%KwԖ5 O`9G\&@{:/gzB8ºP4 <-d:c`*8k%)%WU؛FK,uh:g~?N>jKHvk($0yf'Ӛ1;[I>;FAv%'7'Z8"uTl/|eu'8(X{ A>pحi "P|bJ.iaޣ`rَc-MM 2ө&SX}(ԭ~;uIp]֍,EވhAH+ y{Bh<&qL8I"lv'үQ ٌ&վ $9Ǻ3mH[.RT+p AY<J*Ri'!!ыVC8:KgjRƌIDp[Y: ۜQ5RW?dKSI[)X?;.X[(^-vW7gq/WBפ5T#SA@L|+m:T׋ӫ/z D;ư͔ x5I FQ $ŝ8#,FmPhVNK (6x L)JJLBE$*4l-=Ɲ? >?=/G3O#Gm#IDS hל'LӆFc\I_ifA4"8CBƾDF͹?bu8%b13d6Q#+ק L&\рP+) :a$60R 3\倱'lg%c%#@0tk#-ꇚ?T42s~,uٹ sO1_n{y0SAv\ À8&1 aR=9;HqDbr$Y(KyQ]3e[gv,X m(Zr[>Eqbȑ.[ĘsAPM(Uļ[bBĦ+a.dLj#|3,t q 5-Zݜ"IT8McO # s/Ft#Z=%Q2COVJ U:Ѷːz/l}2^ˆ'1m;tIu9`[U ],VK=>g&:dHIlߤ(),SbS$fcjE)M5_rW>9. '(0E©{lR *m ٖ[27BEo1 zE,cbf1#d*D[=nĆ_f*̌Ġ1y .|qKԲ8^ê]~&mP&Lh<) oG$`xm):aC(q .S`(GT;Vg>?s 䨪~" XmB"U{ IA!Eٱ"{Yт3]]?LtX (w3¶sKHBh9/fhArOm9QIsxeE3l"HөUK)O=44eA: VNq x5=5R`:h#r1-dV} Y/nuIR4BQr흀1IB-Oʓa$ԍ46TZ0l2 {T&h<c1-CN teQs\pԢ  /z!ԪC촼2w$Wh{ɛ5) -[5ex};HҐ⹢܈EyQw 5cX&#j{|g? t@`ynNm* G)*eOs_5x,ʋ<=¹T6ёL4P6A|iQ::>a2 *否g1'?;9& V ? xp"o?@ Aa8O)Pβg/ Mx@j7r1P =Q=kn CrG!A˂XcQhoG)L1(^!ƈ+#UOU<]ݐ+0_*AF+pElLZNS u"nz&&:Fx&-P6 /`.Q$[V- ]#Kœ30 qƢXBŞ., {>Zy I.gO?`sw>xuαA=:H 1(7~w8w1\ d'@@εZZ}Y܏ ٚU Lq1u=1&eu2ݪ ɏ4GTrՀ/vWhؘE^V6\[B>:ީKTW 0R}̭#_WeamҰ,kd x_ɞY($M3 hsbv "rGXy5x%0$j'$o?[!z6Jaۅ7;/:4,RbTb ͥ,I9ռW–eU$_$g4w\AcW@C`Usf,qTKɌ {Hрp.CH7}qg6aQN (9m.y$&C*ؔDk糔\lsHAI ƞ': !qOjb0 KD ώ;$F sڙ&T10;Ǵ1FKZx2_]Eh;x1b/s&ek-ʧt-7X;>E;߬> ̐9_Òpv5]JGŜߘ+TkΩe ̤NoFL;قdOZq7JB~4Os :u'{ѴD#G(!H)OuBhKǨ!y,qXlٴ*zH቟m˨ H*,AZ:˖ xTh qd$|xZ>B(590Cաd~$5hfr9Ћ%:3SrT K"e)[)kۺĮB"/0xvt0k]I ` Q pCH#$$Zag."#P!Ќ$A4?l'%_eBg??wG<OOYvu ]b5g-0\eMy:M:liS!,<'J}%(,J5Lq.*u|9ْ,,]FGN$% +H10M6G|hV:Vu)u{X 7)U8yBֲ) u;NvwwTlb=̏whKW'J$4VZ'9H\qpg/u)̖fQ Z)M Jg׽&_H\!ϦJd!6+ОEt\ݨ4pJI@yM-s ݍe;>ȖTo?87]uhj&sv*<0@Ac$B >ꇴL,FmtP|7*$jX  PHk_JƤy}.P0{+be4T=GiĆP қݕ}"i 1y::,h R,ׁJYd]@}hcD ,4}2GR T+AnH8XWZʓF0AD*xbDj|%ܑO?P3z16#|-:y}WIȋyU,CVIy+b{;n6/k+&1|)Yfi*:jSďg7EQ6CN&3j"$O".\oD?N o~0:k&@^9lA(T]?-ԩe1'd?5b!)#p*m*Fjt2B0EqWjxR4{ Uf1W<;̲BrEٞ8 WrQ)c11 \esd犏$։Y:E\! eГ6dJ9I2dA˳wJ:7Lso)_5Vl\mݧ'+ۘl6c<?~"'ݮC5%;U%]I}~OK <+A?Uҍ,EH(:  rc}d$,0@W!xGAz{*蕗!BX%ueԞ>SG B͙J;wJlbQ7v00k 2!hD-`Rq5bMtk$ΓIAsa?5on"H^cF],Eg@G3+:}3N!6{)T+g:ӏwIo>@2z| s| "MYu+? P'P)&׋]:x$WC=ѥzTDWR?,{sL0D;H7ߥr>Hܤ$zub DcmQ2qŠeaC24a rU> a.{Z2BF .bd|8ȷ't!q1F)3E5 Z3I"yybMxJR`d)3%.BI]Tȃ|18dIf #MX{y/e6g d9_3'6% ~l-<Cs Hl3!]]]ZZYYYVVTkZvfѵ Xwq'֑87K3m$]$.99$h~THo) }DGk>K0Q .cuIvpFg$0w c[6 I;x~+4 u/jD(Zf>*#A?nOEM$JL !:1V4 *(݉тP|8aA :yYa`C7Cex74ua-/F}ҳ RP5cg#uefdhP2 V 1!,PsRS¤Yd"N./ 11kpj_P)}͙$fQH3b|Aw~2 ;X+z^7FyF@>w06c(ՌHгhE;8$a!eYWܛqnj YW f)$ }LMoiSe Q.iȳ08rש#j(ڒnjek%ǵQeGA\URG J΅a"Љr[i$𗬘UK*+07O-bX bRt!RO( 'qli:ؕ2P裲f9v'EHM&R6@o˩#)"{~I~ěpC"A 2+owAk)CecҸ0!=O\[XOd]=LIėmk!,5P$8T#lM0O~dGr<()qFZ>ledp+^1nQgH!IlSR2I~o$I- hT.̓$ aw4aYF ےvy%vh!H9)a. ΒtVMZ8~ `R<Xvbg%ZHY})Uߝ%X`|1t*ͯ40\0RJ5KGBF C,bL=v^\34D g}v- F}.%MJWRVwñzTБ16N&7#^8cOGh6Q_1;2CH^!0Ed"j:8(])K] k0 W1:HFAn!o{8yםõhAZn \;F(uKe`@Vۓ%RcuJbm=AV49*c;8<*|uv5u9f-pƠeJĦ,H/pS3W+6_GŨFT/O?C}D9~7:2t`Pj*>MzPDcg$!6%' ѭ tl݈l<5ĺء]#EtGDM+M(SGlpSO™U VG=6-x4puCedF"MP! 2]Q^ABue[pl('Xu< CI? uqFIBVB? 1_Fͥr{@BNNɛ:Na%b?^,7iB 7&|춍**hQxq {HyJH8H((VtT֎2t~ðx ײbB=>s[i4~Gʑf_^bcMe[1k;6o wĝvz a;=fLZ3~|ֆTY$vAhE;앧t~AE&c\o>#*$Ycظahϔ4f^2ru83g8ĥIxȋk( ԎFC`)F(פ`y{ KD%- /xS9`]LpMN!LxKTθ3FXa(J"u!/BdM.9Pɺ3$/ܺ2dRJ=;d0o沀0pۓSomʮy)ԍ oܟ7y<(ƴ:qGqޟbzr^ǏkָD,{IT@Fl&/U]q" ~C +8EXIk$?>/-?#H00w'hBYF鿧e\e'XU'P),՝Q9l_, )tO(6Y,G\GD &@;j,?P>)<%쉿3Cqa/2?M(Xy' i.a' B®`ZB."q!ˊfπ $06nѨ檄[Vꥦ1؆%GҽY {{\%Mt 8z\*{ێ8zlKfU\ԖLV~9'38R>8#2`b!/Ď~=>S4UXAwB`Ǘ2+&-ld"P&>-00Yd:BٴN@oQӇHg8o0ɭe!XH\hѵq}i蜬-"Oގ޶,CʣбYf(*3@n^ x*+QNc珄 g21$ 60c5f<'~/0Nu/(v$FXV1{rpNcB-N HYl`fZOY8 hT.8>0}l%z4AdiT[ OluZM*O ya4FLEw;4e U#q-+tD0pƏ/E?AB#-܁gG_N4npzMAoh?l_b1d{øIٳIwSa#=Á7. ٝ3qlpju_Saœ0:=2̛ŏ/ *IwHEVD R^KUX!֫_U-$ݡ,b;_cz*h`J7&z~Nvћ0vn> ! t Hqg6Z|6J?n0]G|{ H=*W@/-)&v l8XK(<$~ M}j'd.(bD 1t7gF\AlT 5h0-F'Gx#­|6g6uWk?ޙ"bF' LHt&gM3UUXs;a8*p_& WcE-8622AFiaxMS 8qFI8E(Zh$&@RnT,^{M@ȔQ0% Phv4)uq|?qt~QרfCܭ%@YR]g:isr8_{ƴ2ѧDsP۵^,fES~.>>ǽq@Rw!A (!RVl Px G톝b7.D.t:dJRRoxk;bmh ;)]eS#f5*3L3cJ2,G.a0T B G ( ol:Śz$A@/ډ]6EQC9 !KS~'H"; HP𕯢gy'mF,TT)tĒ xQ%YX BBHPR B1PӾ/ǬD>g6 F-%=s !XhHS5wFV qJa^D2z@0bKl%<<(xddOz&E =o8@7b\:$tFhY|C"($s#o6m≚Eu1{yoaɁ|v F1q)*/F^1,-EYes)vÏƧXU&C{K.!%Մz8 (D] D7$"4ON%x2e9mkU;'.Am5Z.}0-2` B\C6N(yrD#@i23EjAlȌш"lC2؂H׍y,> T-Ř۷ !!Zt]Đ54/*魛7-\}P{(7ҞW$Av\FlcpعzTex:iKIjH9YVh譖):HD@=5h]jQ=Iu7(<9j$O91oږzm:^TG)o`g-YSmR|KGaY 1566 p1>,=֋HE6mtr3"M?_ˌ'{=s"4O-bn?Y$g8Ҽv}wq.¶[^x瀔oeSL|p Q dIţ5 ] *jTga0RS[]hLz/YiIEvo۫tc8-(8 ٗqte~'RϜD" t釃M}MfuBilP KzN|Zɩ1) +icc^Z%#OTɼ0~:42tm!^DV8K(x͐^L&>Q7ձݻ'=^uzOr^zcܮTEyič"3$;5iJ"$ey0'Qӹ2}(¶0OZ ,,z0'זies~#w̩/=8E-oF5Cha U2տE77z"`A9͍ L>=XA)a-*_"ǥV-ZQܝye̅^PaS=&-=v `-,,ogCCtYB1#(0k|V3'[u-摓tdɭWC P x\5IxdTex͋}!EY5W_^`_ac }2[䒋kj Hbƭ;4o`#6QqBDa6\ e&ݣ%go @A^/?, Eȃ3ex$$nSA2d D/?ý*PfmqQQ\A\a$1&hvYƓ4Ιqy:/ YT'ɹv&̹LzHB@(fYZ pWFcu|Y5s8%y5gmA`4GhZOJv.r|Vn0oc@Ff/9f>ӺN 5!KgA^a80L03chĩx>oa FEw[Cte.;ۂl]ҹvCtyQ bTgH/T ̧8(O|BP8uҖzz6 mLhUv&W?%K6ᏄZfVn%^)g db!,?C A}E IMHmgqu#c}Zf49"1 Ki\!?8p*Zwn4n"c4*M?DJJj*nЄih#38v #Ds;ce,hneӰd"AɑD6ώZ["M'" <]1@E9),] hčpf gPCp[n+(x1#AhZvX6SlU UgVWqO;ɼ">h},>&:֙L3Ħaa+o;ERt(Ss2"% &'mF[Ee(R Ѵ<8[ǜ7sKJ NxU$++[Ǚ@rBԎ(ޞr,Xnae;b:#'7qNπ pqc9S!DR td y"k <25=;Q(cb.Ħ]SH d}N1HpBaE7I>n^<3sWkfcMOiSBq袮TwOp;3ř;FuX7' )/j*}o(>!齸|,Ul䣽C׶A"} W ؽ#[c!0!RsSjɴAp"}24nxjs:4Fk;<3! 0I2gCi<_YzUH649omÓk X _I۟>F/RpYqPP+j/,8c}XGS]Y)A`A s#P%!,@hIJ7Z'tgSfk$9]O:msϰ=\ 9 E0=_CѿFDC!쵪(:KuV2TB5NȏmL]kzCOxص5JN`ziǂE,čVB8TO]l*(di}_oa[S*O?uݹ ϱ3YcҒ{ǜ%\#4?~2Qj>aNN*,P bg0?H„(ʃUf֢:zx1y6DuGyBmXγJ2'e*wG6&A5>zC[ G؈11<1:^񟭛<84M0=ڗ9> IbYKӻ<H"}:Eev#SѧZN IoиbʸK|)(|ucOmW%!4#ct8&XgrUnw.6c*%V"5%vu0Mr]ɤFdDj_t+Ų@,ā#XБ^#6E2xxRV[nE_h qi/RTb?ݢrwkzW{E8c$F/=uENTw3g5;4ށ|@V,cXL9%41ˑʩޢ:ڇѣ1Ʉls7gj---,ʹ&ˇמcE|NjX7- |'A{0CppEuϲS w|ò`opc^Ǚl1}i:c;~ sG\Y, r8&#B]dAk K߿<σ7'.F?/˖#ؐvrWTV9`psSYR M3^?v0~c<#5cA 9d1Đ(AC)ȣJ [ .i\2*Ηܳp89@P{y7g%&S-MG;ϥ3 $WYX\[.߀cx&a<^&يeIt ^?7_1AKs~|woj2*mUV=O m3]UpNv7 ( %~34j!"NO{e) ZhF:Њ,ҸRUFggvqg/ tnۜ~ijfp9c}aVe;"0J(^epiU0FW-Ԛ" `]DY'H!K(]6J=i{!]3zWc"I{Ѣ͕&?%NO ǔSy<:٫̙THě.VP>D:se+Yn!<,e RKLj;[B8'1[7Lm&΄s=Kq-F z#ikCHދh>^f㴳Ct3@a# = ɹ1\C"q܊N{8T?R`FTݔU=ǔm7cBŀc68Ϗba=bC?sk ZҡiKA!VaʈZk/rS?c)^[fhWbdu7;~p"W9kwIqn~&HO~Z?%̌Gݺw;4+1%y]|g!1bw_-nj"0jB( d=SaS^ ?tU/*B[)&:3;Pn?9 ?+ֈѫ'D?jPA9`c(I6j"IpJ4ў;*q<@3AJ\۲Fg~!ގ=_P kɚuc֢X-񍪢DP=k-q$0cruDԳH.XSʞ5mn6@ة9A7~(RBĠئiA+ ӔaJsP9O4}evV]th́nDܲ|5&lf/o#&=Q$H%uX=Z$Ѵ{O;|۷y5۠ZDΊBPn!-be}2C&227oj%(p!7" ?ȹbZ3-àY'F~d4hQܠ,Pc:üH-cw b .8ߊ?յЪ r\IӉ뻓亊ʛQ]qR4`#nH g̣C("eY?Q\`t"7<ꓑE~0ʳ}B4 0nǙ =fGq~sˍ+۵"3n,RɣJY\v;\.Τۑ :P!ȲKI{ReXnf| %I-. vl`O/S>q㹩5ی8*v}•}9X;)'^1 , o` ^ühݿl+ ^49w{ ᪏p*R_9^`N>ϴuߟف;w]!ʉj8"6@#0LAecGnK.׽,Zҙ/(ftwP\=/B?jR>g&8g} V3.Csd;<}t6Zi4y>'I :6۪Zړ ^hb 4A+u r72Z"Hpk23n:z0#&d@ΐ:ytڗ,p;|k& 6lee K,HXL(*@Ay@߷̱"2?"^FshNNhq |9P {Ɂ\AsF% ev !҉CBBV_`YΥNW|!8^!)!爺,Y/W*|\Wv!>f:IKHꐜ2 f>BA7H@ƘCi+V"FCw )SQBD>FA6^晼~.U'37Ғ{^)Gh'9]r!չ؉p|]s4cǿ(X 4S#g)`yB9ilUC(0[!Yo)DHAUCw@}s3m= 7ɻ)!:{BDdģhW618EH2]3[Aeܾ'VwQ< ͮRQP'͍=4bJs׏`DYcw '_iӍu2mOܙ{M;<} >5ESp]Ȋ+hmM B0Ҕ4|JLޣD*FnזlH&'FydS蹖Aznz(](#bŔ&{#zWI|/b9 2˗?vwֿ;.PZ<"P˘z8ć։A(Y){FIy*Qe1"kY0L=1L=r$hANv]s y*"N| 삍ACaek4<(m@ZЃ%Y0DL-M?|q_.ַ|a #¦bnfhI"utI>qyygAY K1h'0LP="Z#/~-$Azz-ǿb.,DBł,e"*O)?&6rdFFFՆ8oK~pGb=v:B6)5yKn寍9&xӏ03 \!V9Q@:NCn)W>'|d=회38Φǎg*pW&;U_];{ ĭ2 &/ h0:|I+N3eBqglEWmAlx~#UKOB  -x=b)gPXJƞc%n"u(i;_7kX8p*g9V˪//FQRtW2 ԉST&Afd#֘!\Z/nm v?FstrYf&HL B2di):` T!Ke]ߐrXfc= 8ۿNEm&:b5Y;j/noqUf~ecs6LHACu,vvftS|qMC8e0nn[!TRHtW倓yuQCWK6_3o]k o|;; Y"I6HJf)<0^B%`pHA~eL5%j!cȟV>l80mYf@#(ђEN_NBBЛ"6, R0AM `w "*54 :QB yfIR< Md AxH346p$*YP:(v9iuǜCn&RL@ >M#&nXǚ&ە.SwPB֘MWSb ^(L~%\Ю{莈:ٳ } mq%:=ҝlˏTӧLഌBtĄ!YGx~A  }NڟݖFQ*z|5<c-b~C*؃@ITD9ə?J~==>*`@DYt v9 1b;&́BYIg^faDDOboQLrFsvWfq3#zoYvkF\i# T"NC+(0cc=&9:^D LA4qJ?J2*UDgxGqy;%x",tijf(UJ U{cM^Vg3"`~yYuPR4-FZ;mZ\4Imy{n]K-KиK4k fuI}Arfrr[ 0/%M RYxa_,R6h( 1")>p+"+ٝVǸT$[`X #zA:9F'F"?canUS<o#J8%^\sVM#=kEښ Mny݇ (K|~"2ثZ2b3W%͆w8X, VKiO55d$x_7e,ìR~4?Cb,` Đ&5~ٸ_m}" -@7\UQBuA5'4Ee/v@ 5QN?hZ\聟ۭaبGԫ9 0ㆳg+M-\] ɩC Q_DV(FC:FG B`b Q f| V%KAnV|wJ$-&;s}>`R0A`-tS-q۵+>T}?T:H JrYABAo8GĮvl{;:yqsn/՝K(7b#:)cχGS߯ߌFOo(-lO<1S>..:xNLdbf@'ݺߊzPa,>B&bOw5bi!iǰ=}ߕ`nq"kB@cр'#yItw#m~|0`ye3&wCyȵBWkPYF=H5 g"_xYT$ $M7zQ:|MYb;:7DUApEuClAv8qU 4B{ ep9]*Pk0*4mtv8ÛcV1*Ho̱LUK0XđS7y[8 go;ӵP+.|(~5 x҇h22߅gA!"cj?/?Pn1yGd-,=,:-dx H%^IX.]3>+'+ Ս+~IXv{~;fҒyo\!AĚ+`KitT-c!ݣPn}7@D (9}J79Ө݉CjԊ 5Ejҡ/J<ڕ~Qt6B7/MW/.B"o?s 8Hc{5vlƄfƎQr lfZ+e& tz^b4#!?t`"FIFpS=.l8Cz>ԚՁ2Bps$[hE76;m[^ЮX޲4g.H>h8K :W4Ξ9Iаb\GT)UH8yB#-;>"@};CdZ`T&;ߣ(-ܥ2YBTDbpAJioSԢ%:"Q8)6kn='=Hv;b8Olz=Qϝh#:*H]3yG]KÜ X o~F&p Хv>_AGBr۫kϳ%|Ч8>,4juM2\L,SVbDl=Q0[{K8<^ dɗ:U@uɰs7 P/02Jm<3F_ ޑxl"rУh AظQ`QJXs͆. Hx)MVXF߈`QJ4mKS<pjJ*m;T&7!*x$$٧Lx[ &lDl7Q|#1acLyEYbwOc,ݺCTVL. "O#[_H)AOaH lg[<tbȖIA:,G!I/#Nڡ7xӊQ`t^H-,+781_{h˶|%ߺ~yF2Ί{܈MfRKzN`x/4Dqŵ1bbqaP=kspڇQ+:KO'DskMUD`H6"D#,v`p4;)ښ;n0ll4H'cJsMx{oHTh݌x A;"#Jxs6@Dx(aЫ.+PGM-s"@A:|txc]Lu̬huΖa!!<Ԋ/D[f <JUb6\2fRvc:gLbX찰 c;5ќQh DWrɔ^ZՏth&`2X/odccba`_^^^^^]Zx7zG'5hpj8F0s=y tY(V4FD0CƂ-ɇhKjUJ/G, u ?DC'!0r 8Y͗JlV .~}q,mܶQƀ`d jli ig+}cH?_?y Oj]^Y8`"{M1kIIQ\vlWAf؋C4>|aq`R H. r0Vp|EAAfE2bl b nK3C&r>:7:,)No\ՇL5}n뼧GĬMͅgmP?0 `̙z;QhΙ_BH? RFiݐVFJ,vV?cd@dfA6^.GC"Mva#zm-1xe:EHĂs| SV1`{~(Y+GGu"i,ѯGn2[l1%Vl3?ߨ8]ş^ zC+uD. U㙓8_a2u|c=,(lA)’4zx" YգѾJA{NRLU.$*{Ct$Z!1P?-p|t,%шUC TǍ_hDtv7MGbP].D ̌F5g/8P +7'q&^a,k'pu3MȬwcN)P )1}I{ Čw1_Zqvo[: _kh؆0´i4a͟w{?[iMŚd%N->GMsצMXK;oS{/g[[ljY]S0/1K|d,𕧍kϷReTf}=4 v<:yXKpBr?v]sUAŵT687r چ}A" PFdЬb}FvNETGF'GpTskPJXSvFR)[ ](!AXf@] a8"X=`HL!3l.~&wH$ qBYs_4Baz~1w;>ez~ކ{ڍ@hQi4=6vYGP um7nKq S&`ڮVMϷ>R( Q]Rxf' mM_=/)s%hO}ugњXr8fg9I~d@qnnrVDf<=qBkoJ X/Q v3W%=fs< ~v/ ͜D|mpZB>.arDQ-`:2#)HGN*؋Ea4"8ҙLxcQ`I2ZZ9LA&"!@W`$ 4xl<<74(ɗΝa`dIqBC$pִb#ֲ'IRMoi9+e%9clTlJ{G4U6<3.oT$x_0 Vg{q=(}MH}62YpZ(Csh/cTҨa}Y;+J!Q` Qx6ї7H G 16\uqͻ!D1" \j^vk(@z8 2 | \L!e&QʒQRsN#,]Hï6hA(%>ۢ 8-¨L=%w*LaX(#j4 <.u踑XJȾ)fz]~y t ^@#I%dia4L*θFBil4-ZQuߔtIKm58X--6A $P]%qۤe0MTPI/rl Ί[FAg)H`<  k ;Cq.0<0Gxr[/BSƌ%}&0UE\Ay& x{_L@HrpB޼k2JQ9$` Ac3QLF;PvZԮVlݻ,OIce1ET=^ߍm . =ܧ$GT3DL$MpY%(h!֕@`|_v7ÂaLwa;'܌!pj4T۸ fbo[:. HIVV>E@2= B BdgC$= <5`UcO{(9el& q1, T8s߈J(`AKt7Ey eQ+ck ;^T`Y@TH} NV .9Fcfvxi崥*[؈/HZx2}0iܗRj ]@ǣ1{ q6M[+49)sH[xɨS-NrnzZ:nX e#q9ؓ[ 5^VHkO (wK9?B `nN6{(U Ɯ8 (ZY(qK]㻤rJdꈢw5OFLlݎʏN,fLJvh2ZpFH/?˷jILWP!Q8lQDh[t['zfh@M R{pJGá_XϙnY*C袝cԲ:'A$"5V!b6_Y%<5 Ӎi~V46VE4 "IX&#\<%BG.Cn :c:娵2k:w唖5` ?Y<2ܰؕ1 Saud^GC!Y~=rQH60!4C@lZs.cշ@m#jS P#4cф'*Bfܦ(&bVAdQN{`}!P|˘q [ DV ©g<X#F9BO&Xm֎$ rX52^K1\88rӷrc#4D})ᶝSH.(!*~p3cJRzXHCjxsDzV:rA+N  7r*;3*ln ";"ȕVp'M˦e{1)@R^3)&EгnqǭIDa4B6"iZN]ȡNXeXD6@Dͳ5 <|1Rv)ow2fxgtYm @rƌcj3{G}ڏx1Tm%HZӘ:r˛  :rN!Ҿ?Ryhd GVk/GfJ˗YF3NqNQC'(`#$$\$x7%$v"IJI#DD3DQVFu2%ʨ忝ٛŦK>b kJC( zFЙ`9NDxV&&Op,~@1%"j( m T q7҃O1(dhJ Qh:dlY*+p*֨}v9[~Ԃ@kX% 1rTr<Ě#M9xјHf6&*;/K  C6ZB rҼmΛ̜•Y0efĢNZ1s3ތsزp5;k:^h2@.1Mו373 ^ %ӂ/-Jb(>T.,ˠ-;ˁd5l"2zΰ E ڳϖ81Ъi6\7g)[+,Y ؚs^(,i!P;'A oL*AULw}~?uFܺ(0EB|AdƝecMl9Q tR#xO&NR ` 3IFVAb|iL.?Wi h}0e*nSb)B^Gd6J64 3pi9Q%E!*s#VAN{ Pϙn:rP"+%*O@2rvac*}|fCpKsbYZP) SvKd !W7XwV%:K:L dIh  h E3 sфLI|/*X:"/,$$1 da+'v23eDdarbN8TY*& -_3#V-(yB^G̈́V&aKJMVlL.*+.tRM׮bC\҈1F" |"@"bSb0'f8Q:kݲu8`olQ̩x0L$}5U 9FZ$`?c\Ɛ[&zh D,uWgz8+N[ȴ "TKw玹pVDAsF4P͜Cʩ0\)ւ\vYQn78-!;'ľlX [b &՝ݩ" ^W _`d$ =$&Z|F& G<‘"WЗz9p{I s=Q]K+m;𹒱@$HHsfuf8V2x%vSFh;%S1Y V&S\RUudЛSpiJmJ!X 249%j3ZXAVP xQNϚɿУ}뮰89>S~'{O 4CUx#? }jiDsWyW:c鲷! w^8B,'-nr"Bp0ӂc wfKBR4Jh8QA?f 1 }2$?]ۣB#wE3 Rt6 j5D#$0@ZĊVvgKq6" {U9̨6@G$7D,Viy p|5VA9gR4z~CxR4>(4v /fUtH*2yIg(*G1Ց}d<  DLW(ܦjEa0ZQ @]'re+8ϣ~Vڿh1rn~zhyGB?T:ۭdPPl'X@KS X4s"!ͥ*Λ+HT4N\A'<V^cQJVyxsW$ Ҝ8q?eݞ7c߻1GHojʃ^P$A$BTĉŲ`j J*"lJF m vs3\Hé$J2ˈHB VFhuȦ1y."$#ByLʇDe~(pydPPgn_&~3j!VJ؃ <♓;`Nt~TD@bODXl]^apf#[ToYV'f0=Ц~D"C/x:uo65&rx!Ԭ5koRR.hPԥ9=b1p+.ifP~(UlE6+WŪAtH()`ߒcTІ=&Btz ^qp_Gepdn $NT-62&&Hi>ЬӝK1FlĒ9,pnb -OE %LZ׷ȟ& <4jC̨F-$刂A%P͖+稺"b*Q JAϾ"A 4ش;~r2q4$y.ʆ>μ]`eQ;Z\Ok[,B7 Uyv|&?I!D8P9ʲ%w:d'Bj%f9F)(#6Sߌm0R&_FNvf`$;?m:X _-BJ4)l b0HO &qL G$,k#Q0m`NkZ!p68x=AoS*;ϔQ[dZ,}GF_39إ<|Bq[9sٝ_y!Q1SqV+Ev)l}J yhP#pr `~x;dܗNg*(MAWDVSjY1 h *0"R\abxg[SDT-EP#E {5*wbK+zq4$TEiuPȾFDeM?,]A*%●gT}UndTćh' lU=V3pze__.--,~+ّΣe ϑY25#X] @$qձ<-1 q&B};;\3=C D :xWOGJ6Gf ';;;i5FRȁ!$J@g3E+4y- +`)L*b.+ҏZx1X>&P'%g3$@$˹g"C4|"+eQ):JNP-_Ք^QTC`.\RʟIŅ[ڿ;ݒ+j26,|}/WqDo$3R㗅~ϑ;qH_HHFxĔ-zVp9>yK!^" aӊHq PuMÔ.XJԮpD=|BCrGv2O:!{,":wD |Ȣs@"m*]+ uuYг,#T$$4vdRbJYu%.JkV 3:sW6*$5YPxa3v9lж\,TuLܼ*nX%sJNm6N%gcytA`K,GJLOw i4/O;a.!rIԽ4v+}XYMtB ؁g$g z˺Luы]R,-CPv-0Kͳt8x=gЙ%bbevD1ZJ97 c<"0*XrEA>#wҒ\U+|DRXe£J+LA8rΉ?x& uB(@K|5 %߉6刔s%_"Ge;I<\ՔE-Ѯ2,tn~VZpcƐADR2?6N# y%2B:rk֌cwaH;+?Hn;pմB"~/2$sk8C8)Ain$U=U&ڕ?"i/eD<(vT@lF,G ck<<:~b%T6OX쳞~a.7QN،MV)[F|Nxf;YDlM zKD46  L< 1+eMh1:CTMȑEdh?՗YvJŠhyciXU ؿWnK9TփW_q53OCnHg`_}^i"t:O힎Tf=\;􉐠#e%).1}:pVIe;1 aNq)X`1ljDhs$bgN4>V6TҪ#XmoEZU%<ؾ5xzÂhGLKu(ۻB Oz@g\7fvg")JTۜ Ym:N|U';j_FM|Vo]2m t y. QR\j{M h#(Վ'C!9Ϯ&ʖI#J?M6$t SEMb txyy7D;카gc /'f&E]'A 􀚒}Rf,f}KH*4&I$ۃB'6{Xg<5@߿ B?cɆF\sLdƂ<b- tʼyl$]C v)'!GpQezB](p2rbL /S񡭭LwY<75jFBH=0r(:XI-'|YY!/b"+Cka]Gf,Ϛxm|oe<Nj! Lp; [[<*,m^:tI4<7$~,#* g|$%O6M̺$Q`Y $Z.i%̝RON҉<Ϗ(wR WY^d2RH< ֱi3..&|`㈛HFRcN|{.(Ƚy7X:MD[/^'q<ʇ&yюǤڅd}0A|;Ÿ37mҡĒ> >EKT;,D>h.D)W#Weʹ^s/0]jb =N D9yfsE&L[CCDݎdMJ""D?v鴂+Đ{ѕ9ǻX&뤲75sٛQ9%5j٩wuhF{/ٸʒ{,}3]/\j斢py׻=boSڈ2S/a٦ݫh,NrY|SJ %V3Sz)cpXU5ڛS M`btd  y (،&hE(DODv-mau8=7+.<NjP\óh 0g拤2@D!shФdgCGP t޻Pdiҧj V0qj?Rߥ bM\b BᐉYPcY@{iՔY^1 tFb &bGlEԑ=!o ~Q0qD õkFzE3/UBIAQnB_7u CP d0?CMƐEpz4dD=d : &GB&M,n0PDpN)51c6S,'`ܕ.Ln&bH/-4CP|Nc,[pHD1su$`0G $Db DIzpQ!c"ze، (w10ћbCCA!yhD 6B3UfD(gs'~}BQ! 'hC4r哬7>fx}("Z^d~-I|Eg1eWeeI9 :8LK1c W7tހ C.݀t/)_v?$$9cs>'K,rTeY*]Xa.ϜQD_oe ]4 }QU4^)]ظ -~3WD8b]hJiV48bP J<r~3O2Nrqɻ<&Y%9J,͈9z  EXG{`1cG6B_HsXa @+FBecS^:,Q 6Bj\to qU[y"6e\wT噲>?픢:L8ʈGFJC b4 &=5DwQ;Hd7h~@ ]B #2pY/yܾI`[ϙxsc+>H%n>\?IYe69GK}q}gM6LrS3ƕv`v]?=UŖw0~O :3'ּ ˣy$ Ǒ(×>W\G"OfM dL3xn]QbVh:mZQp8ÒFĢID[@`z4Ca *24:kؑql Hٷ:1J ވ1٬.ȳ;໩*^mv6Q/YIZ*2~4L&:!8˝ vmγ-ҧ[ʱDE-3ƷKH u;G咢(-0#KQM)xAHɧnB<5:E&HAX`GӠyQ ug~ѺJza]6Aa߆$ە,S#}I-&@WrKNax[R|u󤬡8+ 犼rUL:M@xӍDãbF fr`SGQ$/zz )ۭ;DXid>u1!M(R2 Б!XRžM!|'N6gw,3pjVtMEE`^s4;zn $1DcGT+ї{wf ӕ 1u!OcB%Ԧp`'5() -ZG-vN;kT$uc^i93ו?xVu+*Q;W<_@r//4I\n,s%:𗴪#R4Z f{38_XǏ#5ULֿeXe㥩|y rz-b`IEѲ}RK(p#%BB9@ *І`R R؂6" G4>zEA]Q( Q{,:4N]YeҞ&au,YLd2qwFva/01[H .v`ݲ雑.5`xG9&۫!8,N' Dp엡E?NlRj5}5-].Rf@ 5:c8tpDY> Z|dwFע>]1-=_5r'rMN[՘3@.ϋSDg!-`"AX®6#4ޣfBv(3 Yiݜf KG5:Hc79"jDfQ2~niQLp3& oh:|]Et-Ŋ[2J{EC$NUI@9fsWu m#Fh=+A +*@O:1-\ &CXPx '^ȕ(ڎN1k+bsB[k;9<^.$Pj<"q=rFx@J8$}RSH_+cZC"pl4DAt1X"0jR)aE FT.cbLG:c-$ 5Qvxm\y%n`@iXČ Iۊ fC얕zX" g>UVHUGK[;ϛ㔦Zp)Xao6M"mŹQ*BÊ h)V0Rj/0δ.dGH!@2n)[(l XBѽ[苶p[|EcڢUY/P)%W#LJvth- &k / r}q?hD + ŵiK]YD !`ΉSuQ2i?x:,)5-F 9F=L 6{_#(4M~y5UՌp͗pl`lxFR3X+?t ĮRc`ڞ x5D6wZ+@h?4mRwrB[J/Gi]~VxNI\bVtJWAjUQHA_TL¢b#UCJD7 /#H4D~8OuϾX~ .DI XN;эC8`4zdVZoܑs.#͂"/@ gEԳOw!\#EÓ z#JVDH)]}!9j xDhu-uTG'Dbs7.WsålY] N?9;hU1ִ|!a( e1"aݞ7)fZ UK.ưfboJ.6R ʫHƥ[;Ba )Q&Y#)D grY_>Bx^ӔnI7eZ&f2kc~#B %ê /Gxg$t&-C҆9 8#(#+"sg(#AtX=Ĵ0:Hȋb䒃/DrوִDFp4V3n,B$-riE؛sݓZɉħtA{V8z[> iA9,h%gEeOϦ䗫}WfhQ2 "t0&]&5"_@1Qo'7 &mii,#g<HT87Q&K[A2SKE"hQ>QLmBʸ/%UUxJ Bu#ՕR3?$~.N{zm@A;C~k.m9±yE319iHM`MډFe;ʀ/B9>FP9bYʦ1{T̜(z4L2  DPDDtAH$v3]j fMV8 P? 6wD $ض x7 qhVH !%`9G׎r\Um<\92g=NF/C." hqLȥ(4]pSJ:/ŰaNk3 P<Y*&D,B(t;]MXQ`tva4 .mhvw/`Z*2(9L/{ ^9'=ĦaȽ'+;PoBY }(%%^ ꎍ5ѕ.2x\Azw]˶=o Ο<֓O3CH'CB&q{ 7ZވP{jfp=O|lvի)Edh Jqh4AumšxǮp ܠS6aی>_tyd"ZLJA6wdOx0d XAT n+JpHZO; B|cq0`DGg貙7.{|ߪ/9Q1!V擒[!Iۂ* 8k=,lBRiTRgO52$9Lejxj:YC =ts 'ĵd ;|yӮ[F}MNߧYHWF1<4s0b0Y2_~ BׅBpr@mMk萫"UFxv.-䞘el?BىO]-]Ӛі} y t:hoEmAXa&H0˹p> "(R'zb9yZE#ƺ-T§=lڈ8}\x}[{;<ひJS |nx!OoNx)#'1Odv(1N;#(}i?} :͈#h;ޔl&"! @NHS`F̹MKHML~0VQQXEZClŬbjwՕ6:lvV:gz#I%N`\ I4)R<9AFE 3;%wsf؊N0&=q$ sӘC %9gI|؈4#嵂R~%҈+M#jxnC$IȻ4q鴅<%]% mkuRX6xmR@6|ߋ5#_MPPɊ7AhwYG|5L8EFw}t@~0@[FLAQ4t(+ahfKa26$ Q$Cz2}ݑき ҽxb 2p1xhȍs2&˛p2;K(I#5DЇ' ݟpG.=|`' ntb$@Vâ.,M-' )5阫_`%p(BIbs X?Wv/Fl鋆DL ,O #k AVptb߰s(g%XH`My-̟بĐDě4̬H!R%QJ| 4ʷW1aKMTA}8o}??؁D8g~a h锬:KBA~x;ƚZ+`j*8T _/^WɍS+q#aVatDYr4~j, TXG(!ġ4YNpYSR4VRw[e6RcRޮ!L9:5 ,ve! [Y2vRzkyu!N4kZ14w@]# իl{pnY;Gww0sDHpKX>w &p%S;`@}Mx؋$I11o(4_r|9NqN6J)GI菑\IL\l4 _"d$Hõwvvx~sgf5A;Bgd-p/^њ3rd.d CB'8L< v' Wg0$"boLZ+8q,U4z)'U'Wv+hfI,EOo_WGMN,MlnDL##d@ *s$B,xB2wV(d<^Dy2Ij/!6Xԡ>Tj/WK @ ocR*n47NUBtY'dȴ)-,lYW&؏lQR|>/L"0c ɍ2!3l,TFLAn8Fܒ)"i#w\hjnqQ4>xX8KAX73.dD寯/撆ߝ54+Yq$xU,$P`!isYҼaBdh ' $< E֔JԌH]+aeƅ;!-V@ȓ74= 2d(*Ҥ|9̬[85gV+DpoJbxR"Ӿ)1>eǷܿ(Ď!\Y-ʞoat,Vl5GGP-vhIQ&ˆP`vdP񓋛M5(qq@~RԖ5'q;aDIB ガr h?mFfC6B=] 6  Pkrv<_MZ.j XJ,`R$܈d8喧!tS o * RAJrO寬_NƂ@A3Tq= ! lܴtQ(%C*(G]Q WVke; ʖ.J"3헕)MpɯHٴ{yfsvIƉ;" QW2.8kecHDBP]QБ?iQnHfrdGEr#kݓ}NzQ1 .'%^c* z"NЁ^'+ ?z3%x*- vSGJ&TH/ȼ i.G\(Ǐ4 YJ[(Mm 567ЫO#[<8XiQ" CLC (,nKQ4D̔Qf#t`g,~Bqs!0@qϯ[09A|?Dpٍ {y]8D->*ql5hC*j@sX=GE$#;wKu4c_H@euAdH"u`r9M a˗E+VFtvy{}u'ulwVLLPt"eT[ N |UiDyJ"^ƓX(!A ! I F Ys@y)T1dhbX |quy0qLȌE2N[X]DK+вt^^WO{猥U}Vj~rX, J9R`tTq w-QzIwSIffu:#ME1ߡ E "agA\Cp"IpV&!Z<[~8uS-(b XFJÀ(HOq:q9Րg }lFG45sDiRdY?eH1,K攳w_M1p6lt2 tNH V.Spcsʉ&[].k{MSziKRDDgO/K0q"/G@_-_c>(\.E=֏OCJ:l*B\J؂LTq>7. PLءTzvE1`o*t (0 a*N=`~%,1O~-Hec 0\[Ρ<9REV.JS;J-qήwbHQF{tGz`iD#;OW YGqFU+cNkA @pPYx\,܆ #n[{ِǬ{xΤxhC&東B:! ו3nCc #q"p r&d lt hf0WN|"շ?V-/[j[IÈc_٫^DE'D e>#AKf}ScQ(AP%3έlY?gs[׈+s%w+ 7$_l~]țrbĘQ̢KLARJV'Om6-CFt2:<"ݠy:uJޛ",J)>T޲ qI9kh4j28Ƒ#EK߅,~<,9tB|ݘ{9~}=y&GDlEC%Yr%a9Z!4^_0(tUf݃{{*0WPpG߾>-d*}CT}8,?zǎ4na[ʆxp[߼<ĢRt^͹;wƃlmD{[GhtmO-!?P S1P7uJծɑxL"pXt6fEc$ޜȡ@I?>nfyEc—0ia ~] a+B3*sD$[N0 Gs slMErNa+MHd"aKcu ֠9fPmEbycw9* Ed& 39 HB>Y l34&~?yIn̩q__AۉP]&fʼni 1K,z~l^&0(2 GQ\zraP,/'$Q!Q0iw>yBQE*)9-I\yBܒ3Lk9bkFA^$@}k[[Hn)`&^iEJ5O8dzDs 05ŁTg@FFhr)eGcMIfR|*8vq)b;{?Vu'OD) 8zIsHck!G)q;\j60d5DpXQp# AЛ Rh'=]Ta DG u-|xo,mX<C'W+":qnsQOޤs#HlqXDL`̱Uܐ6\v@ ҥFQVeӴYsx{{ײ]0ғE 8>0imnB_y01NQaP3% S驓Î]˿jl?, .dF/Hgx?%5gh#NEd"THQ;VDͮ+)YAxs, ܭWu'>BSzʬAI}m6 *]Թ徯b ~%Rhlaq1 ;[qɍ.qLDdCd86WIG\w#2Ypal9B,|IW0}Aܼ =#(&Cg.E:4G/'\DE\Mee؞ t>0͍I]ɎeT h2Txƴ@KS1ɪ`6>>JdW[{%{ub}# < ZY<@8Ͷ][-?yX۔aLT>*v^p`!o)Iy%H0>hj[G'ԕiE6Ǟ=N5}N=[u}">ƖgL(%ŰݕF9XΩJG_|U,5hDb H KOnL~$:Nor +LQVÅ MlR:  \4- ]i&] a(Udm,>"~d1F\?!5(b=8"XN^}h2xl//(B.]l)[,qf$ł<4pc IP1Z%@R ܀fNENB3zaV7ܟH&տ=D~;%A e͡6d;87Oћ-MZ06bNz>c#_a\|݅8ML(D7|l7W1V̘$H,h8 瓪Nǽ/{vHoOJyGZ$Kґ&$ȦS X]=$ų~H2o ~fo-"bluгۇEZYqL^yFz (k)i+f\S^j8a~s!~ fg>ޢdIq4,B($K4x/Q$,N=T>e;b|R2 Q(!at< NyXvؑXNCƀFjM?ڜQ#?1wS5ܲh( ŏ پ b*oq6u  Hd:0 H tH #->m`@ŶD{(;GWM'S֑hHR>%Hmp azC!?bp( F@⮛!ZD{19us __+V jsQj-"O !.ݏd$ڃO0 IIp~v>xtJcvs5flc_Jp 1MSBHLQx2tbsK5O"Ĝ?\KmBHo'ۂRԼo̸'\ A-[* ĬawQ(M]=BV( NRf5r>digHͰ.Z9;p@4g>^a% >P}`A DζE6M ~j8v3e5FL7-ūg z oyotr@ {([(ZWًr 5`,OǹIOro݀Rj^P-HA-x9[d ]9 1RNGai =I]B]B ~X:+,+[, 22Iʹ]:A$$!!G[zӁxYk|5CI ؟1PxV[!ƺ+&@?DICP@Gs$ܵ#?N]|JA\!)siSK]ݽILM3P㏰L +Aîo]p. mǓMd Na],ii7dyBֈL6M75 bφ-j5eX,7r:ġ$'ZvSfQ9\PlizW9gd >YeD䀳IߵRo-Cv'|!rATtؕ־r;s G7Dvvxns{Xl&ŝUG஭M u3IJ ĄG>9nˎ)1 kjn;yꕈ&q56C*/Vs?z{w7(~ٕѭ6KծHyh~b^x`1cP}ci7-M173$$gV_\;'2x6מ[R@ӹ,OLItsgLIa&XӁ<:~܉.U/]s[D`^ ̒Kf7~433A K vi׾w9 ?؞'jYLj2FμX,7MP+~C&䘹6Y՝Q>nV3 lNlwLNYZgVY}[+y:W m X:=s@9(.ӾlgsiZbml]mbXq ^[w{*돥Wi3HR5>X~kGޒO"IJ ق\?!&(ObF|R1`k"{<0$.bta# j{NDJCY 7f,^{X9p71eeĶVN]L #xvvN,Q Ml:ݏ)ko\b؃9BgZLYx$pf+Y B$8*nDPVZOZJӍUdF9]:&ٮaE5W(.-~W-Q4̴Y5Z4f&@kpˌY̓ݲFs&A¥`NHyL|iJ>y SUYڀ_`4`尔[{ 3%a0O_R$¾ux NYEt39oD_dMS!xrq8oe-=[&dCl.ywy9^!Z)'7I!#:.q)Vn[pG3ՃO&[Mbpī +z/7Dي `pAtUЁiB4EhI_$cQٻR

dR~wOp*)G@}^ZǬۈ.lɓ%7 c\?Zl'k^J:G2bfNuB"HH5ۺ7 'U5Қ8cW~3\5_~%=GL&+q4vu޶UK4oy ag$P M%OWCx:2^ 5 rg?.Ly j i>Ẁ)_AصB5όNEmQyeJ2}Ecp/_vݕ,SƃZ.SnȏHtL (i.f^"7b&_@2kGtQIwFn-v.N>&k W\F8fBԝyy|hTF)Wui+0͍iT6:t|iZt4 '%.&$t?8uh\Oh(s40*AOu9"<=Ѯ?P12Hs&{wAd}󛁤~<]!wY,eIΝ'2V~Q1ߘ tt:gXA~! zbNs篜 Ԉ^.J[Re)~8;M:;1\:V(Bj&hK0c$ s(=@J7L.os4pK`MqjCH;rռ%ѝ.Dx15TX'2%iAHc6_롆QW{=s^"bpF>cDR:0OfO˶yC2Yߧ0E&蟭VǬ@qw9{YA=0BBʺ5VEI/ü]l=gZBҴBj7ve?Z|AG rҹ=ݓ[1,M !8r0nM)-o#`9+ˎ̍5 qσ:ۙz^8!x p~E_jq&ىعM}~Y8" ]TZ dR|lI``ԩ~B>GITp:+";a$rIX)l1yb6PZq>)l:éj̀H &,fgusb1D>HU&_|aG1o(9meb؞+Vu/|_0 nНP&ӈ&k_‘P~_P+fw&Ŵawe뗳,}yGOip􃋷DfaF0 .k"=FY?q\=)"Amxyg/n56 a_PI`A) «#u>ګ\nٮYjܺ߷?iС.d\ E@g? ap+hXg2f~s$'WRZ?zn4y養"M]yR߻?MGO˹pF%w [9&I׎‚xHNV<>cYb8 `GZs7{"sjc\*Go̺ q$<xO3X蝷nXYi3P5;٫i'库olІK0`{t<-^sLJe/"+UMR02pגDjɯ55#H8f[kI/ZSzVnz7R:HsOWxOPI:#*ך"p"#،O݅ +f>* *{0]igܳL䚌爅=GljKc@2d&d1$;rszgm~(b.K'5dҞۏL98E/ׂ}}eT>dNobEѬ %GrӔRiBn<&*Z+y-Wn>\6އe^F(0dcɸEb|O]K'^J *KG*W^u/ۧ<7(SqI&tB@?F[QqF!0KpMQ2bV'kM}s$]" D2 Sz)#tc>dN>C<0`< _8"tu{:pK9HlFm6X3Kbz$R:| M9[˒  e`%΍dŘA8E]:f/,hfLt$>#=b?}gFC.`ϑ+I@J*2CSm6M:k;$cfOaۿ\f4,yzOb~'$Br+2NTO`jQԞ:Y⛑لĒ'-sfԼbMMErkK||RV4+i J I>| )N )0V +9XSlROۉI6Cw-%fZA5l0ދ܏{8:4nVH3Xc 6wnDrʩ)ɺ7)YK>\`~CSH*]15FcWI >E3g8* N>X7qkqsI4WUhå=ռ%pB*=!|Ea2c-}14Ex⬘a ,:#Хr£4?ԌÁ.3DDWobim3Pgmo{zPpǯˇ* Z7үhRMrc|;/^'$xzTt8 /"eIJ[tnX fb>8!kH7L.~O醒{yOݖ~4g65tid;;H5/2ܞee2j*5?F#{Mo񺝻xJ;_} Aw~*aNy=_>q_Ǡ k91 \ ┻bX9Nn<D'nHAYӗY[j P?{@h ,ZR&I^m݈2t<ݗfSW ݷ6v ~"cq l12֠j9ϻVTX\= 'A;(:J|MPaqwckq>c i2\Z}h֝XQQg0iaeDtiI>f$dvnxrVz _E>CO`’s;9z8ÂDdc7Pca\VqrܜMTX!VcX, K7XnLg#5c = ٜ$XЀQ[f)VNa{?v`,0"dFi,fc2頣.9+'}_'ƍ9=O}ӚKq`c`|~HRP=ShV UB@ELXXsףPN-cQqèC NY|)T{|75TtMCt%Y[1qo_ĥ1aM|d}ߥ?ki0 Y#~r `i?3FG'  e0`U@buOX3{#HÉ%te0^0IO6Bk>Cv4eM0~Ϯ!;ٲG:\fILfgn#Y}wbc9^$ zFdOeO0ʫ AZ$ָA);iS, v \{Fh^A{C&p|#2UJ^ۦc%ESh+i]Ļ|W w^:,tP}u™/gN5CKd8DWيsCZ5#NA-,Nmn1chx!FR 1gQ녒i?:x֢/zTfp'XV _ nZ:%TʉuG GXJP8RZAu3  18M'fGdEUBk({f#pMfD3dH\=^WM4H t·e1Ccz\c˳1:i%6Xb_*RBƩ~wWœeɲ_rnoA9|]ӂ^k mtI7g~X*G`%YNDa@BAͩ( 4N=YKPj! $9>CLҢ@eŘj{ھTʜmwS2vZ#<({ +tA.Kme[Б>cMx[72t /Uzpi_B ME)3c1&~6q?e1 k$8g*v)>= ōZ'u5{l}3Mn>AS ɊYN7Js>*ehrbhw#>bQ*2q.\HeZ\r){'.UB,aXdFʓFXQ%C ->-G)>_Ӆ_e(Kq; eteE*~RB#c}q5}CgE>6tyi|uqLGtp6h5@HVڃ;قӈZ/>s^Rr[L`S(~6yYQp'/oʂrS3'dD.W.dHD@ax~1&oύ9|}5p|jX h(붥qT.&jm1Β>TbМeBK{z4kq:モf5z2'X:șkB%șnh }hαņf7Cwcj|${0b 86sm62F?5vW{FU6QZUR-[&C&,gKn p jā1M_%2vROה #L >-˖sb`J|y%aHTbaPoU^Z1.C6 3Į Mui6#-o /bNdspאM>p&8iįŪvF{ ͚?~A "$oqҨS58FMUyQf&M 7GD !aiO+Ӹ'4:U¨j>گeoO_{aCVO.WhW[3zK=ı޹JBGd|#ZG~O,-Dh3{u!"!) w*]!"Gѱ$c M_0ڄ4 lQ]Eܹi-%J@ ,'ݤZXv?32 ^P,"1[@$U @0 At=Ve6`a#,)jd>fУoS6:L9Q0Ca" $3|sbj=171LE9DJ2qGXel3;%3}vd{6q d4ڃX ZNPpqt&Ezd@Z iM@b~(hbA{S<ӏ!c@?d!ol$>jEE#): 7)Vķ" f 3IuN-[˿\Q9lly9'Б=2tw0Cijԙ[ ɔ}1- 𱣱*dh EƆˡ.:(n ڳ a»N'nf iWqG~$hSF*8oR<-dL %n4P*8L1.mePy .i1Xor#ѣ9Iv RǍjgF/SǰŦxxLYr_2J -R =,m p2Ă  J9SR&c:pJs&jӈx a hgPsFNО]gVRNj4cW_Z\:TCM8jYŠ>lb)Z~y[XNlM_dS@jD3'ȩ6=go;G >rq ]h a&KzH1Ì-C?yC;c ].&4z` M=ƴG_i^!5 D B':⍑RQ =I}ByKGUڢ݇y βIrMa jSź28P8:b )ܲL8ħ79Bad #YDfQq' ѾZE# ERWޛ<| cc>lk?TC* `eW@Z_6S=4O~^|?bhR)ÛCF\݉r,jL.a+FJ\MȮVWQ[нżp1gsT=;Dx*XP"hXKL)F k%!v6R 0Ac7 R_E ;QӮ5Afo͗ q?!p$RhvV|)|Z| D ub|+/1Fn4GqSeNP\Ψ?ӮZX#T 9:.8|`(m\|A M!(1b^e CTZ=$8@Zqȱ }v_l- : ,ĉԑK>i!OA8ILz RԿ oRVbI<#/X9}!gOI<> 80IM9K++HtEٝI? uŜiiANA7SDseFh-P)GԒ9BgA(^c1x3*Z7^O2%8Y#ZY(9 f쐗1N$¨('.S0D\!AAF0i/:Er'Mp\ cpVG 1 ! fmq!9dЄBcy2@Sbrci:XzpCNmafa;5Fw6g{^{ 0U?%`J H[1 0|4BqMV*Ɫ<)KA&T 4z&\NLb$ $a,!,dls'x *6ȍEm2$:B[C`0*ⷔb`1EYStM8%K 9vX4NL,00` F8C#ȹ"ǣ ΋!?*-8=+td[L5"<7aC)/-I: G%0c Ɍ/$AGr-՗h\ C􄞤HhCBx@Un\9ps^A $pl0 @9}&k.jPgmPVl3롁\E\W fs#bC?)g~Yņ8䍩4D]}*H D'hetNX q*Bd 懻cۊ+iDB=łt( lKb_a{'冘ۄ5rm D1l!dM@t1q@ ̥'r,vD& )FlבѢ\e;.ߧl4֎"="O2SjHb8(,О,JEpQ NBBFrh7HD(uJharr4(cN PBՃ*mn("2E.~q !DDAҔ(0` +0XWȝ"M$ o4T,f &l:gwʕH $I Oo|>B d(.90xm`3*Lq_QKFTأ>1H#Ԋ9H&]tP:-#0}ZNWOJш}%%%XT & $D$$D=`r~6ȟBMDD6M2(uL0t,tPss/  ]Fau@ނ,a=cRsDBu DAA='>|_ǂ.fQ4FI[gF6#Eb_B| CH&"2hjI1` sG7H5DEH,<$]P˹!6'XԍbH 0B@Qg$ !rqER$DG5EyxߑD . "Y02fĉ("A $D ɇe FkHG$<r<DDDA F 4sD1Ĕ rSvi Acextu(dSQ,eAAR䙶1p0!H\#OAF`߄Hz& xE%hmiIӂDw]8Fc$$FR]%ViFYD|E{N)+(#_ Z:!tv0!aL a "Q(PA>r Y^ k/`aDd:MZ[ I?X QE8O|¢rш3XqY'NB{DP]'GEE#L8CälQ \XɡE&4[Dw2h"" mQAHv; amhFEEA#0Vݢ#"K"$b"n@рETx"5"\#\#0PN2כq!Aa6a 8"#@6W&$L{GG$*dr#$"$E5sJ`-h"#]q_M"X |qD5zeHETp"CC-*("S1 `{(?bqzl1&8xgH#b#F0~kC:?h"$q/6hE, 2#hp;#*{Ĵ^IC*"/e;"r/("RNM r# _OB;_lKH"W!!!D>@$ӭ&2]ޯ35s4~;yp>ɒg05O^˷[?9G/];cxh-p|Z /mޢ;xG]qӂ`RDѭ"x 3X|Plgs6vL[n 4o"!]{3B:!Nm`v0gחg-vvdܜ.N..; _85źmeƮ9j=v81/--!o#㣣Br+jv](]FNDVh#-ldkԅ2q1jOziK))B!e؜*GF\ZQF zQ1E+!?m79ES\ (NGD(,lFP#*t+yJLkUE\ڠ!c7("֍ xPɩG! fH 9M)@!:~[CvѤG&f2Y 4"T #$EeK@Lyak"s :=z:"*H4:zJ%ב wߢ8,Rj6,JQwGӭ# >ã48-,r(Ô$mqs"`D:G-YE('XGد]*@!V;D|QH1A)բjz&hxOC8{A=!ެUO:?C=s#&Fi%-%VP:H(2f BБaGZfWT=G{0$?ǥԻ4k*+ \ :`ғA.BHAL[ @| :ƀ6RC -v2(]8'-)5=ڋ%,?M9v&*~~OhȐH"H`!M ;G:ĵ&S4cb M@StesYLI3?h3!iAԽ & ͻ0+UI %.}qR˱-J7;b'v!݉A"'O0=b: "Lo:i$8@DmSTPLeG (lJj~c֨WP)f\P>ة*\F2^v{rrK y.*Mm:uyXB;(xsDccZ}n@P[RZ!x%Sت} t]F7D~bE"ZΑ@"ЏfsڨpĞOȠA.l1o/fYH$myƗ 88Bf5B4c(~%pbLJ_|0偍!Ϳ~܂ ] K'cѩ \D9 DPsU& Q91j(kQmF -#LW)fu%}-5 w:( t)Ox(ii15tD=rKcʥ5H|.CKtU]DQ^c-uN<-ҕٵ/i*VouzVS 1wLF6~KF,d&vvRe!-`w2pHՋ!|ٗ~{`JC|uH;xN|ђhZP؃DAx:ØDȁP|s엾_5B a2YI29T$dS'fW;[e!D0(ڈd I#PPN%rs~/d[H}O9^7u酡l+`,˅Kmͧ+ĕ8%2kG]0^r®3w؃p#MULiёA\_xTJJ`sƺ&.|lW {#*)i= D|eP!%ar֞CO?R7k NgMmH >f1k4JK sxk2;!,"LM{>~l-ֻ a A$-*Q AYQ" f4'`K< }hDm1կ|]4t Q*4(:4SVd7ɾV/Yr#uL" $=AV1#I8,'ktp >O9e g 1=.lU͒7R U?^"y(A. &xU1fZNgEAHٲ{F*KW<:7xADkɉR;7HȧN4TB!(T>e!|2nQ$%",2>39%>rJ"ymYpe8{v6[~2e-a&qәRr 4>f+ZJz8dsьmYKS$:J-}ayr})37K Е$oxG[Ba۷./)[r<[?yfD|#~þY9:EbGAZ'س>wjnlIIs!\$t/ÙH> ,Xo؝;Y(bk A/"ӯbXY42{HDN"7dVRob(R4b C-}ƴiE #ȧFpaA)@uSL #IrXWt^Cxb 9'\fa "%2ZE0<'͡fLNyy~od+7 u 4-gtcSD}䷭akҍ^j31,$MJz?vȬ-Dz?J| !Y`p!{M+D41^|x$#b).<"І ! -N}-=06#d`vҁ21R'QJHO"XA$*qO1T(Kb;2!ClS=iMAL((g$pzXMzI ; 1p!V<΋apta؍h@L`C.{ŋDjFz4"{J CTX}ϩ/!zI=S|h9O0씼p+jC]!ƕ6 rU9$3 'D6tsZ Jt#&Q1a#XG9g<崾Bíh y=b8yRj fDoG l4~Tz""w9e'>tn"%O+d.ZѼPH!);4-Fl20Saȗl[5d5  z#m氎r%W%.vo"VӑUK34A,Ѓdz)1 ur `4*7GEm0kHO/e4g8Kz&K-/`nY<7*I$ŴdҚt~Tx-4ݙU:f1-kB vW(.U:R}l3c y fp/:w-w>/u?^v[ gAA > ^}|m:̴ =ED%Uظ>J,FP\ -bhCvSctY=vs#ed =$՝ ^mQ䒎Dxњ<8ph܀t BtQɰ/p=R[1tUDb(7c5q@D1V(Nvʉ/yOuXCƐ3 G#m CsӨZGէPE34>P~Az0y8gqzZolq\. nfG'CܲY3]ͥ%cI8'4Ove86 @+"hfH/(qI% aN f1דHT߂3y*gx P>1ThS $0Iax)]N:oQaS6KT{0*"k5Â~cK/. {`8ϝe. N/8 v;SPAz BКI@?b̛LȔ`pѶL,GQT,!ZU(fw|X1"7QX.:Ga,Aɶ'cjZ9Y;?OWȨ,2 4hg/f2! e#ްYelxZޟMef:ICvA%U1'yJdDr|-BTmVbe#ZqΜsvN=bԸF"ض̶ͲƖU:1,'4eGy'=prJȥb-ح/_+YL;86G rLcd8"9!GB8_le9g] |x[=EO,M)>JYi2LaTIƱ$_?u޶o2%h`O8ql =0f#?/IK:EofO"|!"`szz^Td9\}[O/uMJr*laC f7,G }i}WrpF&Kw2R@dYF\ (rFwW €Rq w1ALDR a"0*",`|-=pі-CZE87)k( 2ESZfEK]RġJ?f"5l>NL\~{>fOj2s Q!wU?Я8$ dzߊC$ a0wKyX Dy'@PAqOx8? dvsF3 Z |<`Ȓj:wKJ;dPCqA^lNF8mp,ZABSc_CK͈MwWg5 ;(.y5 4%*,=H$Psh`Įsi[BP#Opt&.n\}Gy#ڈ$a/;k 1#48D ВMUW0$IMbtFfu T":9X3thC']$dʃP1rB@h5#]oJ:;#;-ϥ21"M:/ " Ӥқi֖IȎ$4c cR1AT/'%%5<#}“a: NN-LrA yY0p!ЭDxRwDŽ|/6jHOȽ z6clNC{Q 1w0T8&b#ZF=4Wt9!)^5 (}BġDJA7k3[Hj^%$>[N Z嫝KmJ,BJ܂Eb+?Gal7Rj?a| ^ {tF1~p.|},Sگa-X׭ujHjKnYxmɽ%3 ]MG{+Ib)ȋِYvPp1jh +HѼ 97 ͮH wz%c^;RݮM#ƲG!vxME 0Tȵ^d^mM矡X +:2!DZ*W:^l~sb,GP ݬy =&О/D ?8Ug弔Cdbd@c+l ({)ZmQH4cFf#qU,7$?:Z-VdeZH A!Ĵd xjv:;9U3|{Jo_EKZ'd.i*E%k Ĉ.(N>bY+B ƣW"rYL>zk˚Hi(ƺEapiĐѸd=o>ngNY+֠Vº&o4<}F@@H-& \9ϖe+h aҍƵyA?v U,Ȭ| چAbF#۔uHG @EרVזӱd|gȍ2\3!f1< W/ B,7 cum^)!ͧO~<"3zJ&BL>AK@kF8\]x%#PfDڟm_*O­FE)l#ͱ<) b3=Q9j?RmQ2.{+h*[:))4eGPKnKRjišYq >kah%G'L{q4d\NnM%E~9/)e=I)Nj; KwYaX=d_B~u,:ԼSE\z‘4Ql~=:-T)R${6#GMYMJD0~%8gč p]aϖ(;©Āatj?[2'k+FG:_1j!00 UUYӊx&]Zg T2ꆡp1]⩣)ljX;)P nl>p #QYhA1^m2PA0UR7B# Cb#㳒XZndE~%e+%k4[խ`^O~86")L!۰`bPHiP?:tZ:$_˲ Xς YS]I.y'&l8=?(ۚБǷE BL=#bWnst5EX & T$ uF|Эz$G;g# ({kIL{2VvZ'ɒ<]!d#Vk+" ^WEhe {nPaYIJ_o1C6m:8">WQ^"2"1Ϋ!za)"];ej.Eǐ~8?2FGQa1DCFNcBaz3/ҍ6L#"$^~s0oNKݱwVsҨz \@cni+ZrG4_v4'Hb>?gPV.,ōGf!61hf!xbbErh qnu@7->f}gtA⒫B6cZ- 6YsijbX/B\#P/-~ȒF2,@HdZP;Ԗ|Qː\JBhVq#[x[%" JH &Ɠ>$! S=]nZ"mT!W>6$;ֶ\9V9QIJXA")ޣzXk菸 4!ЎgP~mC1b/{FjUiQ$4(HK?DЇց @ R@C!tF_D^X4)+;PN&* o2 IuKD ^u) MXb;Gkx4eԭ+uvv~Hjqb$A/Ԝc]%#4E!-uuh9G4mv6tOA(<#npe8m5:cЀ!”wP->tun*lPl{"F.M-_ptH 4 -D/^@@l@q g)8:Bk_&>%t^0>OԼS0rf't_r;cؙEiLK?J&xٻ.,42m!v/MQ1*YhP8~ /}þCu)J`0Lk$8t oӵMh# <6lJ4P8A2@P$' {L$ɞy8-+9SyߪI%s9Loe>\ PwIX%wH - XawOn{l  S+DhHܲeBlb#TiE `dGQ()3ͅ`y᫨6/iP%҆TҎVQt6X[pGI=0maE`j%kpY<=#T -p@/D(AGWK8fEoxЍ\O?qnjþhFsBroơNj"#Zxߙ5"ÎAb,˷Aeـ RĚ&Q-ΌP9jL)? / ,qa3} gO\ u;s.Č+(P{ kʾBSrl;)ie?t{ɰrӸr:> ŷijZmL ՛Cs|[]U}R9b^FO6idڈ[I^,A!3Pm4:x,*Zq>A?B4bp "EK8^>I 6ө Q8QI3H[<GJI-^pZo+ %uҬixӧ;'&d夥Ii!,yrc:Kn3{R0e$olEu񀂽|}i]r M7"!c[XV&/,'@~)"oXFӋdD6 IlJ`2`M>lE$aWF/Qӆxq/.[e !04H9@DB5)w?x]L p r'̐)LO ei8T=e*:_)tu7䨲g58!z nLl!bEHqb^CkEɉqu 4*uh[bj &P?ߡwbwqp'KdjE7_ ٪[,N\f $suk(ٜ|2qy2GJdgLHlǍ- Pwdi&. Aftƨ Uyِ`wpaքkɢ1J`<J<460uФuiGy{ɱ`[`DC0C`$'vRnzm4v6ʔ}Rkӹ5#s2g(4iP(؜ef&Iʀ@/<:Gʚ'5dB\1!H;Wt?EߊE7u)+Hsl$QhڱڎH5 ʇ/"|̑sèJvûӣ4B;QK{arjrG)d(0L{;EO4v X4"M5jyi1dڇ;/4<_3!c6EAa箣Lp)Ɔ]ܐSW<E.KgH,x2øe#KEᰙsVi9b_y=*ּU]\jA~! v v&4'9qw7L|+g &G -t[:;z N E"'*#@ 0ͤTZb4qS]ĝ $Ii-fBX xR7'jj7'd/_aAgVF\_4l)A#ƴQ2q=rAA\J.L_nlOEܻFsES6 dziĜ'mvtm#yQ_asIK#F ^Y'~y|^C \Gcb NY)P.;L(Q3 {390>O޵#dJ|dԭӨo'&|"E$ ,dc4o=,8F(QC70IP6ѲQO :b3Kk'Vqу]߿\֚jh>?/D:"JWm{HN,O0H8\A}Q?CA w ZAs\9 KAnN$D9$B9`HU= fRKxyWt;\+ ō=hcf>w6ІHEW_2%R.:BD.z3 k/ - 1`y@lg${(p2LF%2k;N>)-ou&|䗬Zi:kc=8&kNINdm׷IEx.PGn6}q@+jǑ_&RkǸZ/030]J}/¹o"f楈EqQr|~),f4#qa-%Lz#T#"E%dt#1yG /Mt^"Yv,: s&|7;ڡP2V Q2V ɉ?IӑeqbxyB`3x%PcHQq.;B'1c, \/fsj[Ap1]r2C01$0B7[4QOe`bap͉h:OER#u A~W푁*F3^F0E[7GJJp:1ILaY6$0'4yě(Vz$oJPlP8 ]&Xn`4&[N$xԥb'/m)*n<\[&6a+I)iNǒ3t`!.h{6Į㔶(ڍ'v}b4npřmҴtq! ~9̘0ړ8 C@ =r}@Sj;, |Ǜ}}A❭ @6nIKt} 4խ b_&y43B:1es;HcЃ7 p]EG(P.+" |ަˆ'=^͍^]-Bv| !rCGh(ir [ Ԧ>'?oIw¨-, oS׍;.^]+S'gf}oQra4k2D׊l4*qE3݅Ry`g1fnHA`cMu"& Q㖃򋬶㡁#j?g qf&jxX !GEzbsgQP\{~]Ĭ'@7s XS/ddÛ?0Z~ AN ߂0ǝDgwvD{N(4tx7ޘP@+|NSG܈ 2>0Y*׫9+AvuVC!Ya?i`>$&0ш;x¯DZq'- P5hcc?ۣ4%#72q=mw9* H8R]&|UGQYqPb-ܦs>,͏e 'oRVQO=@a͌ҷӂ ɁZbHAYЇOgvqP7C+/3q;2BbM;365ͫ" <$I"]p,iYNX8T]ng r?- "t +8nl;I&zYQ!rC$4CĐ l!$ `"4"6##e&<2~c|eydQєS:]arqA{}UwDcTֿᜱ)ND_YG8n˄A+='E(-(ΕGȌrreI w㇟1ph|Y[IdHdSLu}GBܢaHHϹ|_jg  ,@,Mə'#=_;AKD)3\ĞLI"e=E3]2$9otJi FG5 J[+%Ga'Jg3C,{=Gߒ%+D3 h\! 5[e;[$jv:N lh |`<} * \bq[KޱV$'P'$ Sn.ČW\%`4Ab-_rc /A2ԛ3U.Exo?#`ߌC  'a$*K^߸ L/YR!C)Df$vpޑB"Z5<7,yRw`-DA(@^dV>C>wDK7̄㪺{Gk/nO/Qӧpql_p7Cќ[4Qʌ(T9U jS}UӐIAbFcX=RQ p|d8f4KR a$h(E, qr5cY2+k/>6'Ҩ !h./~^U4M"Հ#\H5[8ކRNҕs MAQQ.|o3sw~3d:!ASİGSėnS=o=lɭߞÊb=_҃}V?ʍ|ig֬zgU.E(n:h'R{qDžjIᚏ¥S,_a}p&W4&\"i{*LAdT5cni6sTl`'F%֔f[Y7b$"ݼX blDy=Qph΢=LԎ0*~f$OR*$@ *s6 <C)TZ &L,m <5OS*YwC$FAS%x/QyC2=_܄7gtSARB+p\oDވeơ."z1.п:)Emִ$7N>Ո6w_@{m. (y0, 8K`BpO?umHoٳvƌ++VhKv.A]sã0x!teG'=GkzcВS0ݼNܳ_aWeY6aHTTb!P}GbNѥ.Q{Ca{$͐BJ jWMtt(>C|⭢[Zn`qVΚpOTDSj3L1N~ŠZj r6F!"1e!G&6Oi|%X1~U0`g,S20 hYO+4:`r馀y+'ȃ~&X( nV(_+>Ęh~y;W?$ Y˖ϰ6$\:.Ԥ2go 2/hc]mш:RGYGb,Ĺ܄:$u'LW )~1]ɹ׭}\-kcYQ?̈ZV6e9} &z Hy_&QzSk-:5%+{!K_?e~x)c3-8Ph6x7acELlYl+toͲ\4k?Пil%": 5xWGb(IW-..GVͨz]Go,w@g!0Ad%2S6G >; G^/ ^0a"Jޭ*1.t-ӊí{7%(j-o(X,c> ;Hk-.M꾿y8D4ᳱ>Co @>F:(UB|6w#7o;*(W͡ܚ G)$JޑU;_Jow$}~Rb]Liy a # qf t^.rp)\dFЃJ |KLF{lչA U-GupʵYx7IUQ481"<s@hIFy>Enf%i)DO)Gv"DY%smeJW;Nf˱i o7J-c &yEu6&0~P/KFl`IJ'Wm'B imnȷ4d> 3Rm F ca6UNA 2..-Ph߯(b>ᚄc=|zTJl6XWUUUAW uC4#ʌ]f~̄mR 1$9:nؔ6W5@AlٶCYM膭WtxmSxJOo ^t:bt sEi&bo^~.Qys>YCi=2C1U_aݤ6=+jB1sXaE_{[. NFl A,~Q| Q!c =ԅBdUH2ύ^xۆ7/'-NqoК?urݚy_L~La?SeICV't PCM 5 =~Fpkϔ8GԈ0?&ed.WET a'miMo[ᯭ6 mffv_7vKV[j--Ne r)a?V%c-Q'&Y6#*GЌ֎0bN,VJ!vxʼn/ ~ƪPeGP=F"A]q &Ζ -N½TEl"^lX0IGuNg菌M$|?oȂ7-B՛?P ')|1.tk?b.f~*G/ZEN?6ڥ 1tZKT+'Up>dh 'a{oѱCEM=2t]'B%o?d ɱ j)Tgˆ^,I?.?1(0ޟWC{bܸ QdIumnp؎C1#ɏ@]OZJj9bWSC(KHoڎxWLA0"8Z@rXۂ i5zH!¶\ՄwVqYjLo%Z%ύ* $(t_(J!g{@)gcQGҗ2v7c^yG0,CtZf]C7# %aXƵSVZ[OZVO++6G_m'3ʍ FշZ'齎'Tr6V} >Z;GfnzߴzTÛK 4FC.pBɘ1T8ؿ֮Q<Э@XQ^^ћbbP D)gK:.9( U\dr B ?ƐǞ}  7Eq?}*mi q$!Ll.UhB-MuI=g|P{v"OYv-m҂3붙<bab$H<8M'Ϯ8-eI"gRޓW[|Mٰ =q5n kM9ki#RĻE>H؀'l `( K-C DزL(j Yx VEx*N" (MGeQS3 +.RJD )IL|2 {αAJG~2_2|L@&K.a: z. {'.)ا0gp*fMx~7qhAq"GQy*m5xʲ|*7]L=rIq_= k f^:CLN ah, [DewB(d=3GNvf& S/Ō9a7'z{?^ Vp4F\(CV:MgnnRbJ0=f ՟Hh^%܌$k_A cҏ$B9>6ɱ)M6Fi?1Vi)%>$ëY{("_]I`@Q 5@138Nv-_Ȟ: eI GhӜxScbb;V4>aL.mšPI'u!(GÍ2,ȡQdZsIt4PіkPIGEt vH;zن[OX;6s0WqJ{qϚQYHA2r"UWX9˂Mipl9ȍ0CK/.g8O6MgSlq iRs_U=T9.J% ClR̙{h.X IFֆ0N[?5%c]&^Dc P +v_Q3k#ځcMHRþ/F##A.NAZhE|KU eHGC)CHtHF;˨-(1SWrr|NAWP WE<vɏ]ՑHƇQGgZjcqLTnjpOY9Zx֕vS5V*a #g.J&xDg2)ԅ& $D_y*eQEIqH9f/foeR^D_ZVN< +ǩ"C)羊7MɁd085 ˆf(.BlwĐnh2EkWN4盛дӈ `g.<P^FFNo4{T[;{ݚ!^Q֝9!uu[aui?Y\jm +R3C|-FDŽ?|?4oi~#Qq @L 2B ҇ޖ~A=v?`DĐ H[x7p+soY蛥R)\Y-؝}$3\!dEGPw}!srFGĺHA" ;nZ> EFTj|n0ڹ%{(а5$Z™ 9b΢\%{ qZEMjYEm 7*')NHUv 1T('y-wO%)L9 F5٢c4$%{p=ލ-d쬪0Jk+1npdLp_r~8_IY֍[4K*hvC9Sd4 ɰip~ؑSDsdu+p`::(.B{GUQI\˶3&Yo]+mӥY #ek|!$!&  4 2gcBHҎ1 01Ѣ%o\A ʅ/x0;LtBeio'9{{vZE SnXoϰjl*> gPKe#2+pN?8Ɗ*K ")_~rSܞU{5whO1WTdrxEQ)3q:7Cb>cb62|#H5RM-,W4"R"ŚS3v@FWOA1 $c7h%!A}]>zmڸŤZv^bHRӌ|mOՠDztV8 2\K(!w$E[l3֦ ?9Ltt_+xe]'ͭDwKT0S _[tLWnz 'ʸMu?0F/f5r#FfB _%"z5t|ErU0cFv2KF?앩`z1hm=*nԐslH8Sdzˆp KD[%/Q ?V](э/1$#6?5bDcL!L"4SWCI3<<]Zp";Q$Mxd}Ԭ5>S ,*ftW2@Lu*Ј1jF'R2{y K*Fa N8 c|d:@xC]5Q&TDZXxLܘl}z`/; :av$j.Zʕ/1m9`ZH %vdcnmD>"I'`i&CX95fM-Sz9ԋ\N.r⾝L fc͏ôZ@hY.@K5D"G\J" 9JYKd$Ԑ <,%@y~uAӰ];.|Wm`W'DTkZ9#qGzMˍ+/sP+o Nwz٧*$IMA&J@1HG-Ft&eFEqWBWH`KW@ <}XbH7ߏ7 }a=[]J݇4@ :4_!D8SJs$qbHј#GDt_ " h1*ތX! $b{b _f" YyLkFsI-?0V:iQ G[T2 avo-Bw2}x'P4+%";BYg!Nbll6쏪6z =s!_3{h*-Y(m2a@ v!#@[^%5 s:S`ɯS}gޠ3'KY=aT+C ֍O-Y6d l#}C i) EU+͞\ǚ~[EF|律YӠI6v//r=,UKԬ>!JqA;ˠ ]d8 wydo Z%'FآyݒjN@S2Na) cFoUn62 iST# WAsKXQG4XO-Q7j>'w=<ԉn̈́X@6 x2PG\  v EՐs0cb`i c{BkY\߈!zJN@6&A<6:y hEU_qq7h?F\jʲxAgm5L"{ղ_ȮCiM!GZ7F㔸U0Lfϓם/ .YƵȌ}DKf*_(yi;guq@$NcJf^HnysϼCA檸kfL!gPbpN*.; d{h0UpE gx øfx#G6举$̀.cix`;̢ %B# ;v?15>6Y'ZOl-$:-"nAr}$Fo.cW4\6q|BwŖV"1^)4ũԦr. ۱&̼Kw9B|U׶AdutJEPUcfHvkNvDj{HWڌ{.;{mE7$:&fĨ yb [`ٲbHv^?YB2G6{zF',vVdQlRD@<&"G6S4n)YY H+e:M -eGɂ"G#p L`.k׀,6̛]P@¤~dE!].j(t-s>7;RWp_̟K[#\$ݽrXY5k7MB$YӷA{ #Q@G#("٧Θk_G XeCDOR,h(>ʼn&7@&L/5JxА"@!,!Q &aUa  IU؀AZ1]كCC>+q3| >^u8l{x(I "27RsI4&I,5AYwB2E.Y5K3}0{X3e@+`1Qn:KˮOa|)pżY15^c8$]aY.'6u&oĮ(sȏ ~dx d[a NLE~{>9/A`N>Uh?N[[[Pps+(<b֋ANG*칱R9^h ߈/,q~iY{PwOXZkF@SY[̨ )|R%tiU# ٛeOn8}U9gͦ~:_bA'r1fC.#5?v+2bcPMl`aRkaM ƪzu#+%=d:kL0βh|rA{M\AkmT.¢T;y|aL Z.B|DyZǎbFqYp(" jEQ@{z6boHC:zGwtL,۱9aS?NKoy׬ϟ=]4W,IHSm͑׶$%K2LM.:Xzi`\@Bp'"x/'Dћdzr}]E͟ "uEw{OemER=N V qL`>g[E- :P]JS{΄Z;Y?A{+ 1`o'Y<Ԓ&@,~t`Lyn|byy?ոJ&H /5: CӇ_3:m.p,7:e=S-񓍲5 >Pu.#BAyөQPusshu胹!S1$1[!@| Б%. IBᅳ ].]v2H1$dFHstg(:Fi+ [|W0]^"ZprԊer='׏ ,l`!"l _ _ (OX<voZ2aµì/LRsò*HC~:┒hٟ%tߝ X%"X QќBnX 'θ(h jD/ "!N& }rD㠽g4\2}74b/3z8Sf ejo~mn0ofvfs=+[l5epexb3(CY//ZBMi6ʙhHRئvڌgĻdu9厞ճTdmtetz,]pz= {9+\.iq&L a#|!|!6#H4t#tz"N-Wsyf=Տ {N}X, uwfML-E1wYSPͫ[{}8A` 6شQ2mS[AAʵ2b89O덼U􉊱=j_zr%58-=ju)g?'ȁ(s &\KR쥰0:Ѓӛe Gաtْkc\]8b$@˥7n^? CM-6ʡZ:cNAr_É26he6ƴv#I`ؒJ38g0vxz-L#M=l1{+g'ˆ!$%sNĽ)ՅXȩ>ާn)6/+\ٙ!6?AV16e׼D;.Hr@pm߈zxRYy^< bxYCla8ł!&ΝT6$Xg?3r0㯸n@A?Z"ѓd%.6 2 hOpPm?(am^9axd63R?V1/@SR#xj׬˱[#2nݴ=+ r/na9" Vr;8r ^ޗ7gl;qLB!;# ^Bs*+:$Iv3)#*FRT^sng-_` ŎSt o 1I7cCI5Nw}^W")A(n&Vhg  UHpGD~*]NOV;Eb{ -43 Z0ۧIAq4.;FZtNI].#ÓS[7]rǞzLTQIm:LNx=v1Ymۙ.kɉL-&,zZC4_0koD{] )44Yf=Sw“K¶J\ԛc 2,ux~;ZV e-799\:X Cq9SCMAbC^\'U-|Wf uD)2ԛeMq!"4X = ̻WPXChlc * -C}WΙZT9q(*i+Wh i a&Xi08Y.*od#|}:$Go ]1wy8L) A\aq">el% l9^1>BRm#0J9Os~r7+k iKѺK@V]4ڒYZT1|.iiQpu>n.p޻IT% U>stwOSQ[ʳh}#fLliDgQ=inJ;۫+Xkhq.. }N @Au51eu V'ӎc ˵7aO}Izms@ΐT'BrQᩧU`īb ../kXA֗J#s0qm1pg /ߛ C#43 hoe~{U+BVxIJ,TGdTo3uߘ3ۄfY"KJw i>u`w NBU9WbU&qZ>"ΗAsԔ$AAw̋*`A^F`1k-AhU~E7.1#T]4_8L*zQ!:9eI1BsNoOo˼ 5h" Pq {'MP]VGt0­4*͔$ eŵ~o0:&SSqVlww=:x}f?\ ȗLdB% 2W%gխ],}E?J|a"S|OL-M>773ݨLl\ޛw1x\Sj#1otڞJ5UUL!Y]JlN{[G,Xzo۝(GWI9ӼJ^ăG8a70p+{#IZS4!#)'HG`4%FؿQncFK X'6;IfŊYǾ\8?\/AX}`[SB* RWZJ1c42~܇{h Q RA5Zmv<]6j " aDaq:Hca2Ó1}IC:M[IfB[I3LrHai %2U/6bL]{2AI N\t3-ck:M%bvΘ[C'g'ĊWjzܤhkf<Ͱ5XF'*T-a>}A G"K&zy@NpI9KR;e4Zc3}ꦪ l B4H5sJO 2rG a6;"Z"~:Gi^IQG(ߺY휗PA'Z_*7-='1 RFg/ /VbnOיT=<.՛8$t^hj,+}kA!0BK^OoN]v×v`vJSq!RJ]d+P*60T7tJLEbn`fk˲ G9d jS{ڰdl9\WT3Y&N *Sj{Q[1F\^: X5-D@/vgx)~FtvfY@K\>Lի`;BeHV?昮 gєd8=,(>B_,7Ĥ>Woxқ^9 sӦˆgjTTm6$( H @GC`8fݓY/k%5ՂbǘAsCЖȲNtzmc4vSH޷`BkG[YB}aֱPT- G+p6puNdhx;ӄTK|t Z+CG``#BoSψ, Mj^`&S9t{T& c(!Q"FnAhMh\r¢ Ea^Ghr؍.E@sTZ3"tؼL:JrWƢq/N.f -*TA7Dv-\1Ցh(aey޽IKW=8liКb>*ў2;KhO8eghk/AL ^rKb RxslbױFO#w9*B"&(\SqcB3nQR0!֔i2w@F%nڒíTZ+/jD ܔ7a6k{Y`?;[55#>U}bSj8cA^8#!^?3wN iA9 y"JJ/ʇTmM >3jkk "o "ˮťߤD;H ,DlGUqƔb؏&t7u98^6;•Liw]$6 c \=;V y0S5:$RTJd}!aW"6$w:Q*h@֭쐑4#]'(6'fi. ӧh18Idߍ!SȐcESDQ >>E䑂N& ZƮ^>d+9ҏEF#<%9Q\u8q:c=rr 2%Ps;!D ,DvSeTee }"qӺrZAv<Nnw҆mNf<V~'蹾b2{q3N%E*Pț=3yTB 8O03 mOz/Aۢ(jFhENV /NR>_`(+FQfٰbOAf$rCGyH X 5YGǤ;uZ:x\x53W&D3 hx3ftfԉ_VuǬiPc*PzHCFH2c p ALԩ?҈k0-&erN;.B2$~D_aj/G!"o\ VfW >ÔDh/r*uŅ4ÎyL9Abo J%b /=hd Au5~ZbdT _UkR-ee5Dfz>AdRYH?'π2p l8 *f xJ$_C2C]A[®RO& 1Y*Y{>ZeYqAXRiǬA y*˚{S]U׉y:j^32"3E((-а,͖]x A$I(ʗ %& nw* ,?Zֺ@Ru1.l9(+̶j27L+8lha5zQxO- "vo}Uۄ3ǸU#_$'ms<6ŠsL!ֆ 1;^A1IsU/d$WrS=f7s&ϯ2͓\ @HM$&0#0C#>s<%\0l3c፞N̻X愽 oP4":}ޒ}QPnIbrw!NK-!9{e|[<Yrx[ N=t &eXֱ@ Pkǃ!9ȝ F#s:5qckXLOfzՊUĴ|Ȯ !:;zlN8lҷ`ӞaC١(KQF //h&H2}}>&MwVR.+gIDBI|g#?!"F r\bޞ"\\nAkۗi^Y[GQ1||ţ\}"Q;d1r}|1.FF}5m9xJKO3(cf C w\o%!HI_J2>VϺ-kdEír2HK E\A:!mm>|9fym=Dz=a7/Ak$"O@`Ym[1 u43g==xiM{* G,+jpr3(>Tn`!`E^";'۹ GAN[ԅasn3\/59پ.;گN$g>$B;J,?)>zss$0t cj(-ƋR{ cTQ.:^W!ęPi96=#%8a"bGl㳼k˜B#0Q,LLLK뫫FI֯k|k0HXH\O)0$MSM(/QLj:Ë6}=U-<RTQi#~<& (Z/p>@2IژW3`sSl/_L}(5 tܓG<3K,Y!AsaW$z# sdIsjPVQJ0z.8Gb2H.f.O؈g ݐSw#E\ 㮤.^IƷ\?4j>3۔ݵ;EPN"2ɹZtg+P6Y U~zӰ tNtX0\QgN%(x! t[ C򦎮$D}`wG; P^-MBmv$+VX ?'C<^JB !m"WWC56\R*%10"(OmR]=ftOOlߞNP~D(b̉d@[*_gxA+k*OaQDk@S)GkkXDy&O<.rgS(). E|(Ja5'iUDʞ>7s{2d"WN1QR@n;ǖ~ֳj\ġM2$:Cn .'A [0";3yw0^GaX'g'3^kQ{Ys z ('XOJt6Ra͜ŃuFd>HRi֬?p r(&qHG0$>g=(uE1R5 [pB~| #kYmKg`YN8><\@Z-?2Ȃ4@_.| Z*8wKŴDI,+, |iaE8a -}`Xac'HKfXȾÊt5Q#|bnS6%5٥jI|*|vőĈ E_PR^x %e Jezb?dAi`'Y_oEx:H,tI콰&3ΜQb>4PbGY`彅1I˻'|J"97w*8cJ(40"nѨ?.Z}A[ r6IɒNa  SI^xS,Omi<crr0 l餲~~Ϳ߸lFzzOXlN8/DCi16?O,A(XT(>.cH $XCn4\]EhG4CK-[?1ovS>qY 1 !pC>b9b$؊ȍR5vHB!B<~my3¤!e1; i *B\ K@=.yM\/\b]*zr${^nUA띣z-p~ꎆ3.8rܧ;!.dHIK .!K5AOs1)`N{<Lj锉\Hkh7yU2ܻ 2@Ld]$x58CeP s Z9[JChl82ps;Gñ1gE `H@a!tܫ!2PzeTRrĞJ Gbmg t|^M_$taa>kL)n*=[56/UI٣d%Eqsu c~ %10#n廑%f6Wo$j+5U%1>Rs5䓆Uht*7se~O- x'1.!‚N1?ٌ5DQݔD ?!b'RF37GM0 P=KC+aьV4l_ؒ4 ܘPu.$(UfQM=&>2C(kE\qi;UadФ7!NB,12@P B 1L*|ceA6R7xҲ̯**k!%L \7!n#߂:v1[{CNp~~IЦ) ׿ύ0j{$ODpqi8SkNO .C׋5tNd1śɩDc 1jp3Fk5,;"SH˙?g cRRls|g!yY9ֹj$|'9յ3ab?}yM`C3;]|Oec~ڏ;o .iR H ʠH: -mf.Of3dmnbwPG p+T 9;R xy^+cprƘ@Ad.vJ %f#{Fa@XA%#d4k*@Z5m3kzGqxNEeQn?ߒ{Wrxק!-\8A]RO6DwW$ivWfMiZ pM7$W2|{Dĵ: Ⱦ~%*L*# 䅻 =a{.0$ ZS ë ͊pY&ircyg3֢s2G,!` %<đHxz/_VDa6N ]݋WE| 4?Ym-*Ҹ`^5Zn1.|)J&7['IbyaWķT?.@ v9mh7F oweMwUm(ßMH1Estd]ֿ͚B!HaoW0fr8-m&#| ~BTbz֟m:YX!﵇ZWD쿜W`.2~mH.qf@ZCx]זdF_ F t_cҙ!1>9wvNDwxϑ}t@ Wm8 s3Uӓv#XA?{7D_LL>]EPA"f / &3峖B}u6m:5Nǐ"~KqF gfsrv ŜaS஝(1̶*pR0_z۩ޙ1̩!]Ui@*|Y_R{rŴBQj/#.sb qf*A/&kRvɓ>d`W/Y:d{6Q}$e_s`>ct߰%0wO=hQ~ \0u\YT~M;eҞO(\.g`%HyW9SU !2v>RkXglt8h5KhjCX pM0Ղ582at 狆ΛSIs !ܶXIM4kT5}5oXGXu/pӵ4 GCPGap$Y񌈘 m9JAhB]ړP?0ax1oѓPdTeHoNPQד󶰌gN(hŨegT\Ѷ|sO\QeM.>2v7Qh@#E` Ew G #s(k94!V9s"Zw4wSle=hnd !LŁ$6DhȞ&v |369\oˀz֍/zޅMۈ31պ;-Ҩfvq4?D4;4ibFK$ѿ.q'G^e} bIy!N5:{t"+`#5ck6ANp}*a*ddMl#%*8B&;8":\a60ekSOnf% Dl%>K#"n#tpGC bIC^E#nw(|,KıTbN_TW 3 ޢIkT Ϧ(QVП  ä~M/0O q%A0xL[tIʹʜu׀ I[$ F#n\ EEB#X[' -L]@Pv?SAUg`s, ]8ߎQҝUk{33}2-aܑHo1A.[lW[J5.ˎ32Qw_C딳O6ÈAN@̦`3B>4UyQ !dHQU#(lY1b:L;N['wyGCOe%%p;pWa"#Zb~ϻc;(ta-fl=1 G̠?Y% .{1ލN.XILWɈ.vhm[(hҰɟ9 6v+3޽z[ϣ.:O"5"F`_5"&<3-\Cb å$ }R @fx T"&xJpj=W@4f#92keۯtf<7?IEd\;Ќ+y0D}x\Eq+}a\ZK(Qx"yft{|ʥ"k[ zE+kQO-mu{nNٍpmYS}eZID̏S?R-s|c4X KA'$&ϵ hak#ծQK0Fַ8=6.q x+EaF c;w81u 'v]MI\ȂKjr῕ɀ8jGHRi=xXD͑{%qg! nT&s ^]n;;"h]V 3k8wo*h2qD{p3Esc-e'I1G~ ~}cuŕf$\_d L/Ɲ6w5Q.m/j~s x(Ǹe6LE~\YG $s#ma.B@;L˫B^9dB0HhK, DNh^ C(rrX)"2 Oev7_SD}z4Q|U8A/cc<Hq`,2_˹w(b.\65}m{A .R^&'Y99@/|Pv"wHR-xT ^{n'vn%:rȓ 9vX]֜\& 9LjK,w:Fʟb/SA iJ)-n761!HOZsnƮ+5(PB>'w۟$6iMvq݌AD +cC< C=0eĹhiTW.A0HA7] ۭPn^Vu郉&Al2h?ݗ,(\TP!gaG#<3uw^Εq ΞQضN f]tK9 @$ny5;Fqvuc~=xc46:Lb%ъGy1EI?cIÑ6DHxJe38#T`NZ)|-$V_> ۖ&Qˡ vs m@a6~(,|tu'\s֑۬b T/s:e~GHL.RZR x%/DI, !9d`<"fJ(*۱\&Wahn놹]R$#/aNxKO8 .@dYл7EWkND7TGMcd<ĸ6-3TEN)rK?0qJoEI(MF7"a "y,ȡs_Lܙ&@]?tO #vV[dF8 ]quKQJ>ڀ99&גD@U} BC KMY,Wʍ;*+ wI֋3m}%f%Z [SƹR$p lټnT~87\A9HCx@T #tLZS}pw`+-.T?ηӲjmr6}ҟ^^\mB0%/s2<)[`Dg7n QVF-~iA|77֧.;r+ 6{JaK[9\NdAo)' ib2$j];=3x_wR P_Gl,D|l.Vrk e{`pbu=!K͘0+_vmz̈́u#cnQFyߋ;~՗*3+X l+ZbvI[i̐7-kZ;.x7jϾͧ3}sM ^R }AV$.c x*?Ye, 1Ās+oGC:BE5iN }2Y1\N"&9.;Si< mŁ0Ŗޝ6bXǖP6\/+ßӀлFbӹ덠;3fG*QrNa7՝[n5H] A;2@ܙ]1^ YMW+?$;X=*l ="h>A()e;˺qy'4Wy㔯JH#J5ҀHʗW7ΡZk%x")CW sy$g*k~ԕ+y{ o3arK``.*ec3AU`.uC-XLEXWF7u!L*m%zO!tgg rvG9 魁!N"d` #i=jo;$_Ԫ#šC㦙di΁&Z9Dž2E].0y;Degoͦ\+rR؏$ԟZi6@YP}>>|9h}K6"nѶ_** o;KOtbj[33Mګ;IBg &rYKZBfϗu/tBRq2,f6J:\K;8NE88i}R3HB?a8P#"c fJhPC+[̾" I1G.I.C>XBy=x*-S 6OMml+<ˍ,tWv0Hr"d" Brpkf ͜s丽A6 ^0M`kK8t#]a"ͩ͵_odZCe^j'4GJa酢}`=Lp  4"L K0|L+HhML&_9{)ݟʟyg 設> V}78\EE6*26_.ND/t<Г)f}aQTeW= .hUj>3,5| nOI>$?0V%A- D=4$qH=ai8F=tcZ\k'Gn_ɞqwJ:ۖB$i."ϣq 6p\r9& \F!``>ƎgF{ʆ/E w/=_Apq5D^Ra8 Xlǔ;۫Gǁ|f $GSlTJ]?ONڟ4-虷u[VfXTJHİP*ѕ6E<ѣTyN{w9e(`}OyI-ȹϸFI#ZH^pT20r%wX(s .ȷ`TήBʉmJ'H+cv:JW {i"ꗸf:fgr6QڒLaD8D7l趟Ҫ?7>m D bV٫]NYAOHg߯P(;z:dUo5}92yfdԈN*5^h cT( HtIap;L!f x#Iq~I㑭<]jER5Ͼ;ΫHznC}2t%~ܽ8լ7F!WgZ8A- rZOsL!S#Mi˩u ُ0WJa@DJknM) U.2; B7HbNLfl QL, kp;mgPWwE9 ;04ZZq q$ LP iWdGrЇ&sx,c: t XIyx%(2d^qi pEg$xm?BboB Ge>6~ hrI"6^:V(P.l}g5P>xuBt ?˚:WQEe4~q:\4 fRN1ʼnq55.iN(0#Lb8$'1_è*B (?{#u:nZ99ji[gJv0|U-hq2j䮆Xc?3{:5瑥Ђ*\(mpЀ 8ô;E/c QJơ͕d8CTqESГvf/R9井;5ySGpppp%L`hv. 5UHؘܰsO'5J+(wsy@MA4<{'JT»eL\X;Zz԰s(G]nϓYפf2fARuA2iipF^}rdTB 3 kV׃pNegV + YxRQr=Q.`i=wy/ܪA@o,jE}A#We:q^❻%x xe7Tj,HWBs$eRZ)g8yŗ"rL+vaȂ<\9-H|yC! !u0B:XqA)У)lm6%O}wKDߚfS'p_Q6DBPT BkRk4dO+pu43VCw-on/Y~2g?quj)ke&} EAdd{uByҞ`azSqsH.L-@!ûkӤ%? <(iR5͹/rM_|uW[ s-վG_ab&D n bΝ" ӑ Gxk 7!>cC pGL 珕1Gu/^M1ỦTik) "׎i6 !;rseȟ FU 6v+eG vu؃,߸h 6DxҺKQfA_,D 9D J3šro|2pE(f2hƿ4ˆ 4v?=Tž=D(g6Z0|^R1w)S/,HtG,4q=*tHb7m# _ McP_Npݙ0YS/A4ArѝggSXb8qpe3^f:E~ ,nXg )-Q"lqߒl@G j΍0kLiFaρMB ۍJ3sS@|t'mO&_p-# fh[NŊdD`*8A9?7z(0uQq s앮!=+ NKH:1yg[(>MSHsM~9zGmͻk9EhVTn;_TpG@ ؁z~A_z/b\>ɝ&:ݾ6Ej{b5匂yZ~#$<%chۊ 91=]VÀ(ԜᤷFۍm4&E(,m:hTC}^:Ԥ8ϗ^$Ŷo3K$Q?$!gfpq&y~Ƃ 4jHv<yt5"'B+KUJH;͋9g|cLiQ\FzI[8k"j0Mޭ@ 073%P4Kwrg*BKwu=(,4q|۳WltG[pIx/Tv`9Q㋍6 j;`| d*2(*ϡ-MwoI28((S` Fv\ O[Ϙa~65Fy$t/f|ܩcXr ?T f:,05 -GJUi5z*GUѬp-z6,5)Yrkǻg-lKÛwI9GU͟`  H po'YYMǻlơ8Kq?KFts^#Q^;duvzٚ}yz9x5b؏0x8Q< 'n`b70$6i"BAo?“n@Sj&iSj\ v!# ؈+bPIQvb ^u=u (Ϩ\dkE[J )nM$Q0栚0o;@ژѶ8%JV&Hmt~K ͫ) O!*4&55 dJ弊YnPo;C/ۏ~F r$] X-IϘyn$BZ@@2*d\\jgC2Y{&C0x Kڙ#Я↜k鏄5پʹk)gm0EW؉B7+H l1b籋vu^zkViz7e^3F/-b=oΒ}l78ûY?W,heSvg4wOÉ2Yx:+ tv˃A#:X2r\뒆c/ߟ]?ix]6fi2V;`CwM`$A 3O%D"t$b8_d l (di.v_v k Q\17Uޕw=1@_1lfm3Cʉʥ:ujƺΓYW:AFR K2o3Q?f{eosG1.$-ELx< 3c5sytek X| b̹Kxjwpx*~\fDM&Jk#>6~\I~@Q\te.s12[@Ȃ_`yz;NFZk.!ωZ I]H OHqDQe;A' aƣBr%0)qvADn#brLvF qf 6˟-G=Kߤ4fT;/= m@{fnS_k ޡ[: Hcj5t!SXp.H֣^_w kt 03>C0$|V^5EԿwR57J"'Gp̱´Y(1QCcJڡfPw 020`]=:h!U3oCqw F/_ݔ"a XKtQq[ jʦH}y M`DE)`v8A6Jb@u9J4~Mki?!RDfEF P6yz9ascan7B`VajmfH1prVlO]m tUYn[txF_S#:b+| AVdAtj}DfBLYX5$E9/e⌮s&8)dHC$ ihMr~vDмֽri? Uq@k!lA[n6>-bM 4 ewRAaSUĚ>AšcyTwBv{QP1 h~sD1ahY}(.) `fwu\ SWRtɂ25W&p&c@́{Iz+ E]䅤[J8dOX2}ԧ*]@+q}==[;Q =+Dfb2 QftXv(K벴@c*|:2eL>^BD%.&ԹRH"VxTgMM` Ѝq pC`-'%0~>j33qg kqE?tKL`-7i1CJRU@΂6Ld6r=:r#2MN8Y:*Q2n0z Iv3U$Sb W3" U~GYh-Ȉ櫊^s,MRzz`Aav)+MZ[ EΦ|h5 ,: Hcmb0ݛҀi.{"\Ohф{' <<9)_־Ԝ Z_#s,m4pI骿f%%04f+QrX@]fӖpa)MlFӽe:^NW;}T˛OBKU-WEl?,Eʂ,c(.5؃Js1m:'pLLkCWu!ׯcvY>9Ygݎq! ted|\~zg 0Zb`RƧ).aN5pܓ$> -Q0Ž #sU캒go P'_WܩAU1v Ly;3tfM $vX F Ύm 6 uzP]'dez%eOEww3"wrNbbG,Y=m<,AEt~N)3oH922Gj;Uf08l\VU@˦R^<)_n-r¼Vq/\א8"mHJ.N,۩G0w,o@?|Foa;gi軟{RYX#2,QbzHŧ:G EJݎN*f|UQ* Kpb̜r3/ޜeq+P1Ӿ B49XA0:J;鿥 eIn|qBo,-HGh$ W5qY38hDqd a À 2$⟖|4~#LͣmFiqϸ)$gj]E4h'̨@Ec}ڐHw % Ms@ `{H3bgrb0!̌-"ZGABVėEv!*T(Oa1 )*$Dd%7eiHy5)S8 ،pEbOx92]uki~3¬ Uu8ԇqAjEtD,MfUX$|i7-2 }VyJpy훪鑤VX451e)5^Sr<{W7 Y[xdLu{-Y0dGXrL}Y:XBsG=^ T)1f_R23P왱`zvbn VyX߽G+˅b9͐U%`u$i 1w6*gHLJ 9;`l疎 Y̢|5-*\ZjZZM :te>đM<6l&) $;P|$h*՘m&x,kŒw$lM.t .p=ߣ7D 4u=^'Ѥc陏Ԥ/]?mȉ42nfKD'A*\[؃I̖R-Sy#fh񍈲lGqa]^ 7#|i/hg]+uF4q\ift#S7Ꮫ *5Kok[Dq_6ʜy1n t<ڧF{b0aHG",D \?zX35}ؙMa!|VuTI?m#-},;m~1RWG(@?L@^c6 B b'W.@}i>Lc7)b(E„9*r "x@/iS0}EQ`o]sM5(n5\( G/y17zj+ xTHqjӌЛH4Dڗ7j`q h N5S:9t)6ȇ"ptR_Kk5Jgko%=N2&TڛlL1 CITJ<>A$VtmPcQ_ Յ]?+-hdm }  ?@iQ5bM61;|1ĴhOfy(pHM'?ESǙu~GI ubQ97+)Ra#&Lt3|ۆp.F0wv>?S\5Mu9#,* ;ًifv}R[/}SCipoG܆Ҟ$F|]+Voq0$rDt,Hf5t ob!\AP3ml>{2+`,c:k Xa{o[]P\At>` ZL=J>*"ެW'uCƶxcP</) E۟l0UF [{!q8q!ࡹ\`tE ?_ \ɰO/M*l+Ad$jhBJS-9~a/tl| #u [V/:~.3x___\ZZZYYYXXH7ak-WM+Fr3 xKN ,;i06;`mOA htE+c4U=XtRl'ax->3# d+Hժ t|ёYfo)8LT(=>!37ۘ ~gyTcҝsݎGFփo1ߺ7mRXDy9!)_acLRB0IpDhWݭghັT]Exۢ*Eshg"=?Y/g[;$tN$&Yhȹ8;A7 &qĔosbt?q" /+n Ja\Ǔ|KjbdN a8i8AWV81h.>#f'&,hWN>;p2x\֊;}5̏2$qFt YN,20q3m7mf7x:*D+R_L_#ҘU)p@&0n !o ;.)| 7άQ/DTp|qYqcLlET{D|^G!x@7…1G#eL)%_xZrUOcJHhq DdXRfOb bF`)p\3F@I٨IX?鬩"Z}4eΣtۉk>;:/yi(QA6O${^CCJ XmBr fRPDIT)/4LB & e&f' WD8?>ni;$Y>& :xc1e!e.?j&"<'a{5gۮ, wN ؃?kR# U,1=L!|R0Fj3p̡:?[H3 3˧%<\?͵:}7d#4GPC`GÈ E|A3?J1y )KWi"^4e8DJa4o6Gf 򍝦UY笖ʼn!LϐP6(o?X&n25t :oQ]K\lO;M LX#s0/ 9E N8Os'ud0 /%;BfCҨ6Qt"\9*ahB *ե(H N\nJƒ3tfom xαs#!vЈP+4ԳHP'&Cڈ:'/ocGL E"I&s$C>c9eVx&e"y4yF$=Xv 弆F0oQ! u^@b-pөϴ_'pYe~;&(`h˭r OgtM-< >XC$"7A)HAÁސP8y nMĬP7Q>ĵ52GyY"vzqyIn$$pȄW>1;KMk{~6DbF?BZK6BHIhrߺ天8}ń6F>> |\aFAzo= JG{hmi'̩56=Evj&4l|j]No8jӾqMvi!'`By=oU,=/tgȖ!Ul23&Lj-M$ ~Fti8$h- R4ya㞿{= >|g^W4#XNUȢd4",~]aq%w%,6ǽw/|yE`&FUy;~"p]ϖx7yOPTN0W!Ul0 F ] ½Kj4-kt*\pMu?٦w*̇JMfҲra\Fw`Ylk֘ 4PP w'= bKeK?~w˒.RaR3q/:׶x9!%1)UA*#8j;?&wAҐS%|3oy8C2H؁ʦ zO)-5+ d69 ,P~&93ܟO2lM.L'n'QعTyHX'7O)kE%M-Ef-,ŵ=\;PM)!+d_=K a$g3 3~'ɋ4^ε9/]*8 ]}h*K^mKӺd &fѥor6m8kq,+2JQ^2vn+9v7Cv<[KF.@j5 mW(#hK פ7afve FE5ͳ/>˺[Ę~ 414n%C]"S-s伿l hÛop2ed؈(SzmR (oV||;Aݓ@zV?G{&-F_REVSn}{k|65Z>m3|NWB*{:S""]q*S.YH(޽tɝڈFNB.ꖌ֍\A9d"oc1`O \vfpe]ѥ4 B$!%;Ì}ſ. y} <ι{Ei0JڋQ8J(u~Q.L wbXU]"AY9y5#^cLDօj*K{m; 5i5e[^{6|&~}VWDxx##)o%^{Ar59>4SUOJ X>ǟf@^ڲEN:zԛr8HVʂ#ЌR0v'<l8$ob qpBq"cVq"< ]H `0@ CLaГWۂzs?w {t]=ٜfĖ5Ƅ0( NIRx7NIR~OXc!kη `>vpc2\W@$4-@>ŧG7P`N0U{ߌMjD1އJmI =13D+1"~`Ig4RϚ|λ|ܘmh1O߄=nif\ t!ՆD=neՙ m良ʲFkJ ɀ"5QMA|:!Su_b*64Al ~5$œAN}`hU7 j̈4fy(JU nmmwR{;sYL:[܁5Cb>E Q[(Abx& wsBn&xxؾöN!1dɠ,`+VdrƣqAb@MXS*wl<.1:~r܅frwXuv--Z,uoj{Θ)Jѹ؏ ̀gDVҥJS^M, $BCEqLAONZb_ !t(WYkZP}xf kZ]ߓPibk9tR5 W)b|~AY=f]7pهT; *GΕ)Z1"6TQ-XADTZdF[UDV ⵊ*87.XebV KFR>N]_~ԟyk݋I3lAһ .o5b6B~E7 &k{4-4qwo ),oHm﫡S|nL>9ne6fN)])'U6[^9Q֚'[XVᄈ,۵"ۤh8l&1($fb'|e>s.>"$mƜ~.=Xa,"߼0dt-g;|LuΎ5҆(d)zEKnk]EA }pij}C6NDH}xvXVL %A"d 7|O/O~>^ڃ?J«,bET*Vʒ%)J&~5ER4*=H3CI; >ۀi@vyn<r>cy qȜzˍ@>;`hHk iS4+A%<8,"@!؁Q浰zEGI#\r"6Ϡ_$=~؞5**ZuLGQIV[s AacHe23[?ZV1xaqe"EkZDB(ʃ!2Hh 0a$& FB$ AaCC6]Cb I0(B VJ2H!BP@d C `DD$'d` !DP@@a ,(Lk,hxLd U b J \\w܅xb5Nn|cTYg;1Oa!Ffa[_1JPs/Jp.&5#)%A=DPVe Qż^y:TN6y!Gć@vs /#O&.! Llv=R۷R':u&8Uv7K;Y*n&So϶s:1M5vqgwWnиHdF(i sۧQEh'Zl˝=lF,rrJq/-ocLt҈BLjGCʙA\#ibFҢ1FGۗ mYs0qjP[ZXSVVei44(BѪmj-eɕ iGpbԺtYXLJe˚_˴|މok>8dr9Am4F8P rYCO>7mbLI9G,k%18q s#{GZu.c,hڋXָ+G2Q?R-7ic{߭* Γ-[@`B(Ha.#W1uV7GRf'Rdm;ĩdy i2C kr_&zA*K~Uz xPi߽ѠKn3Hs=aJy8:OL^j=Yۛ XF2xoQ&0.JG ^#Td x !DDx6aЙ6bM35Fȳ4[mZW&0|t :sw͒"g6.||+O'&g1r}%j6|UBswĆ$}N S:>j2ۈ:N@nW]*FtFJĚ &?0D%F*s{jbv`1Oߴ1's_ٴa4 +]l܀Ĉ!D=#C@6 "d 00G=Č$G8h\2L[%dJ%",o"$u'g(Dy'!HML~$ 8A'#AN"L@LK83>H ,iML .#3) N@@R $#lDir""4C/,h5e^xӽ&0$0 HTT`> ~hʈ1Ã@pДA~e<H'%|)G* dl$!  ph h h@9Gqd@H =B U.@0 X G 7pA*l@Hp+v ` @@F4$C ~@&`j@ Hp%>(~>ՉITA )H ° NAi? 's!rl;gz27IS%(h X,HX(H<;~ї 16% d@A4+z0"+cfu';>P='|ؗL >8&e2 %w6HZj5ʕsHT&f I#Z# t<&2)+U-IO5F} +%'4"֔yaQ'A: 'Bz `sb'Bl9R%#iƋ\*s93T^ڵFv4MŪo̊ݍ A/%eU/e -ѐAь}(sU1X]Ǹ*~I^ir9GI] )NSC.>^ }pL>3׷%\8E|2E)f}4br}ۧX|_:}ێdrl Ah<@]-Aʖ*cC}<:Z($ޱC>/-\Aq-ُVfoQihe{" (C_z7DXXvJ(w 7pG3\[KaG N\jQcVlX͙ȁ[\Jb.XQony w("{0@xѤύdHC\wwdO: D-gc 6̆,y@[1KO'? Jɔ^vnn`n^Œ8|]jϮ7\RZn:ܳ}'F]U;ӣln}=iЙYcnneZme;헣ݶw9ۮWOfn:}]yUθl);U-j{rP7ӓmh-s\SAuR{Y jXՆ,of/nodk]Kktλj[5Dq;juٍRӶ2|nΎjSZ*ݰiUTwOslg6JLwe^*oM8q`4ﯻʔUP .@Q@$l %b*)^}JJR6v} $YwP *%;!JUIQ)/Y6  ),U@h=1Q8;@fm>@{eJ: yoz^J o.=iT*I-n'FCC hjl4-b3{t RFe^mGYHm[jJ(pJkRQk%_s6JT]xxWaoq45n%] *Fܣ (%TK !mk똖.Z=W7[ڴθnim;\-=۸j\f]:wwtήnڴλ{{ʕ[gKmgv:zӰ۷[j;A.k{wwzy*]uk[%&;uծ5vv\k7fv븺s9n v]f;Aݭ:-tkO6*b3WwljgnGkrS|A9iu◴s'%&rǑN7զ^ 0Fڦ?eGfwXw{wNĻ3>x$X߼bG /H& K "A X"DPH+:,Y"Y(.@ɪM0 DIJ&DK&,My,T1M8aMe7Ti#2g$LIGkCӢJ!d RQ^M9׬)j7TDdIVTA`!@$@XHEc "'=q0B1X1V @`0d R $DEbF!1!$  I( ",! BbdFX(@`gAH2(PA$E 1BF0R1X2!+cHaF QT ,$" "ȢF c*P$*bȑIT%0*WuB B0 0$IH! PF AHP@F@T`1SPh`jAE i[H"A6BDI DjR t,c_sA3(HApA(L䤤Rg"$$$P&A"Dds%0f 2 ̆AHȡҰ` 01@`d @@8`*%(Am#hxP4ADKR *Or(Q 8QsMх ]"\,LRCdM(tIpA "HlkQn58T,"ZDޒ l ^- hIM,2;{9;$ՆJȐ6i@#&DM)?pO)&Yp]j(/dY{xhYeEʭ,x<&9չi%QgE{Nб2/(Y4=̤^fU_M Ïtxڹ/fT}~YWFB:t{n]b*QZ6;zԲL?Mj- ӭ)Y973I-?K3#p<",w$ ((mÙɷi#~olZUnd5}>rnsƉS\ yuCJWHmӾ\.eyѠw%TwMpi\+>j e<Άy;om>7s?מ騒_N]LՃԽۣL bG%β= _}xy:㽫=hQ``p\?n|?)s}S$\NaejgY;U|1-%|QxXNJ.JeAsbje;X:5Ou=#GyTev颚%搳nw^hCہR^-ףdk>{L'K}N^!|=`FfoʝF=;_m,'X$xG_hE=Do;ػ׮ϭ%oMd~.ݞ[h (kӾ5S,vhu>I7c# i:ZbVE>Up ]JSO5>x$llY>rzɺ';o١ |#[M$8.-gCAhkqK*ͨ-&ͣN7 -Mi/SzZi eY.j0Ι; 2ɍ2Z_FY 嘖L/lJ.X-|(\*KV6Z[2Apsc VZ:1U08Z12@2[6l,3Fl2dԗ ,cV61[nXɍc Ii5TZˍrcXk^e4THYh 53贶MlQ-WՒcX$ -2^|7-l1X/Reƥ{U/ cV[*IXga6LLk,z"@X:V[5(9041K^٥q°ѕ eKJc%KXe/-NL״L2R*+M+ i&6u- QXэ):&#12 Κ::8h[c7cj$XVUal*־8\Ģ abylk 68L|&6Ve¯za7˒+.ha|!2\J% 4EL0TfgU|mEQK^׽B[grްVYyVjZɅ_ 10 beKPc+Lg*[cW&vLƛ30Ue/zՎr2Y3ŰZLp_.!"d4ѡ% q`COox@.@zRka}T:+H@,~L3RVkHmIݟSy=^|K?XbuNcqD0hy*x$) ꄯ@j`'hł:y@wZ#I=ce7Vؓj9.@syddl)©LogD :(Xs'G&w=C5'6d;BhnBSG} z7î4>[ aj\O@| \i6#@,,,R:#p%+5`߁w=+y9eUt]*Ⴚ~̥73WOSqaqUUǁ V9wwy + L\00DпQ/r 4`Ձ`NXv?$BAa i") ` 1DX ! D#,#ȰaP#  F!$ idHUC/v|'g2c$ `$"B а$)!HbĉH0 A"4,I$A$BcAA#$sRP#  a10b`ITB X`W}4.1,:j , C|52ee\M.Kր-@&Y{;4pl %7eʀR""+Ldf1HlP`F0U#A#B<#@4#@ F0 4`"(2"B ""1|:Au4ccFv"; G%,ـEDE0DDMDDDDDDDDDDDDDDDH_0 DD\,""""""""0Q1 DYE0Fi4 .|MM4 Dɀ! b"""""""""0. wP8ȯ}9vP'}PWP"w}B}X=w}}iZ"9"""""""""""""""""""""""""""""""+""""-qfpWDE`"#r""0*`4aahphFDmX0O hF4 %AA$80#FJ<рDG""""=DDDvDFDDDDGDDDDDH"""$PnDDDDE`$""""""%aVSwߝ#bU=v9׾9A\?:ce{I0Z=Nۣ m'_{{e󳨍op˟ ԣVk4٨Oqpn7BБ;TnZZcHM-l ?o}'u 5&Nd^m Bs`ԺA!ҩB0"HZL%)H您e ȁeU( XTET A}E ](@psM@ԥaP`@@ԁ!"PB ((" 0bȁh`  B()(A)H`4`"%(A3j51b-,4 P҄$RA `0cLh(H4 He#"PE)bYH< `"P ҔLX)[ U@e2 @#iBF%0`H$$"F$ JPD" A*!*"BB TH$# ȄI&*nRDby BP1rB ]%X`p@*FM*XKe %5$I$$I"IM\RQ/"몓RI$ nBD2HI$H#$I!#$RB *!$%ZI$TR!" PHX$+#*$H$2,AHRŁh4Jb dH0$ )`E!EI $I$"H2%( PQTHI$$PdbV0T ȂHHw"?A†2 DC鈂qs$SDxD *EDS vaA v:꺮xĝ02C$:vP!_Cm "Y?BbvB~4vLvig)8HLɞN%4O̙ɤM*iJ LHrg1LLd&)tDLMh6 <끻Nv ķd:Ltjܝ8#ѢE#U`}vhLMdh8hBh@(vxW :h+`-5X_)6Ӳl'`Ҁm  +APM+FR" ct?!K`XYJ!* 4XDć"&~zNj, \׏wED47nr\;>]rqe~Qs&Opedl>Q|9hHyPo?N~ȈQ ܊D|uD$鬯Doe~%hɞ!aJ{ !1@n=>͒LebR0yҵY7._,6Fh 3tXXCwA:r?qNMی Gcۭ_pz/T$(6N qSʯNQV!,nQWevNَ(L((u8<"荻,B1a:(֋%2B^"/ t2_~j1yBW8y1< re8wb8nXXqefyR<ق*i6$XxLlCґ@ǿ.5IGB 72O2#%YG`6~8/){{K Γ@ZZgXDaF(śI2@]XD;f-nȇݐg@6)EGءdLn,*hO7W ^|1] _^|s,wq.+@8 M|LcSm0@-G ~ZQAoEAxdoH \E:U ǚn9: zF5f97m~$ \#T\k'F@:G("#C&CrS2cFXb|=d^\'5c0TD0rGmd(bddO57LyۖNQUG9~KRB.TD` Q+F\GS߉aE (jz"ȏBBB"%.M}8C.'7,۩pq{ &m{"9Tz P_츃 05bkhBuWFHq?egz*a0yP8#.j2]Q!dΘ{X|D Ud\~Q .{V}cН׬<a1̌?*RpiD0L%+OLtEEIR`JLə,LD%g%% D,Na"Dbq)0LXHL(LdY1H,a0b0JAKJH$s1H ?;MOYD.$(D=T" C\HŽ{1f1%4DCaIcR*@'|0Pח^E(*Bc[aB5D y[g$];6M,tdBx>nQ'ݷ,:E 9X˄d$(8%Qq6,] }Y&˩`"W]U=HY4mմ #18o]tƩ -&'u%?i˼g31Q-N`E#Iۺqq,鉨aYϚbVT+@!O(X\N8emoC}Yf:]?|M#pK~,G`zxmm`=D FB&hCerxc*>ԗUG^x_tvoL(MbP(>A67$l d8ܨӯ4{E G?JylqR\H ߑss"7z6v4sq0xHx@=0-bm*ɄfKy=䓰nZ̃Q͸4A~@I"{ )X},!B-p)C11`Ԉ䭘'? `wf[-6o)i[#;(؈l"kiBD" HY%6 -dJJd0ItlBǵ쏘yLbȬ`HE*Q|+URF Y}kz,JQe!^27&2bׯ9u ~ъd)bDqdfit+G}i@mWLyl)5%8 =2r_\^fOtxS\| ) Vg~= 5d 7WNLn* ue0H(]h!avK[QB`16F-"!A_HVԑ&0`w1Mal َTÊgF3FAsfXJ*pGTG„8M#)u3 ױZqi!JӔ9Lf7GA:ims%p^!JTIfܲ RT$ Q& &CH8P`=P  TPҊEj(A Pʀv9ɐ@ TRDI$SL#1DDR1YEAXdJB` I(CDB 0#`B`0VXH @k@!I!! ! F "!"HH '<5ĪsGz\(%2Qgz6pط'B~GY)JQTzd?kJH{Sw]ܠ^i^G;;~XlI~qa#PPGWË)-c.=ʊD)6[qRQZ"Í$ v$6%w8)~"4I/=H~ufXԊ^ٔ}{~\F"h2n1i8+&i˯|]v639 vw66L>(Q / 3e8HCb7f&1BLxJ/3M`x1ܲO|O?MAH^c: oEG|~+ fĚA^TMK})-;ޫ g5@ҵ17r9XŞoiOGۇ^QrD,C*ǼDCZ)1_Č_ێAe<>y3ŝ$F: ?3 @!u 9*^7^Y~0*o -'+XZ~f9"4ƲrkE{Q2$j E+b=zpћ]}2᰿R0!l^s^\n3v;;x690*whHYx?c ,Hӄuv*¸QP̵{g8V9e<MnCob6?ˆa(űa>`l&YeJjhcܾJi؈feW\G2йK97'U+rx>x{@0+帒Ԓ8DDK㪝ʢԋbj"/F M,4QQa YTL,Ao20Wx(5y UF8HR1oAcTBF RlZRN2s9+b ?0 hWIќ^wBÉT ߧ YE);9Eɨ>eh6|,HBkQD?aW\k1k*F, 3b{ "mه'5\"-h$/q5FƱHո7mh3L6z< Y充g걫aїga8B8ƶ),$@Py ()8[OUR/PZN|kZ=͕$(Q<@DRd88B@@ @A+='/LkA""+D뉨/'߆'dŘ9Ƞ4h"`>ݐ\K9ך6UU"us(4﯈L+}bʊb)X]?-e|0t8b2;^tdY}iRzh*C[{ m<6`1~.qrƋS[ƃ#`Ll.a*E۔0_1~M:+p*W(ś?XVf!P{FuRimbR3j;c^*SAW#h+S {tlYz!*egOtI!cp͟ FTf#|8ᄂnFRQtgSblS CMvH[F7 Vh/~:C@&cnz(YMµHͩP\đq7٨;Ÿx+R#a͑Y tQL=q=G*aǰL#zӐSKޤ,n0ꤢ%RIh,PDH"|>`GKo a|*/{=({;DCߕTlT r|QY_90P3e4Ks3i ӦpRv"1tEDVTUœcCFwL290X PЬ䠔nVPr #"[E*9|nswzaN Wa%G-<|^8g ʑLjVu$Ͱ*B}F)%ΰ\c#/pj* q4KxEbzl 6"`zs4؞ZY\OP<&B0LhEx!./>0*l\End#Ur]+r:;פ&Onglw!Be.kMr `7mK:bL>"=+a?%i*K %cDlU,lG9Bh1Y)<ˡ(T` ;+ X3@ױzRc`\&M3HLJc"rNӫA H3sG S1$ϮGDꘁ7NH Bv< kҐҋ в<*+B¨2-~2^gfwAxz=5e(چ+k̐H  "ANȊ"r[˥޳*~kfJeC< }% 4Ĕd$ !UZREj҃"j*&E Y D?떓`崀TR&Xdh9at=9狹b`yͤ}PWl?OȌ= js7MzL붕S̢[몭ft?E?$"BD\^x0Q;rO 1N Jǹ9%."y)V ~ZzWFzl BXT ts~6d>Qб}4ݞK.MowG'ة9IP*Q0WKP½ihDX*'/C~Bg6ԗ"#9!8zV"S㖇L}\o9iҏt;XlMaj;;ί(>#VCb/jV-;ȇ=GԸB%N/4O2K=Jw\Q%!}VWmU7rכM+dz/5$^8.c-ۧWW8t>4qhu`` {%`jWxBE@=='鋈DP}{&o'?tMl@ wdDl5'>d@~4sBa? 3.`gYG :@VBER^lS)t5z,c*=D3(K)eQGo6~7FKsGPGx1<4 _S["ʐI)P|3qZKhYQ5ybwP ZbpQjVa.%JV-l"fvr@Cߢ< faC(:̛T9-&{l?5ň? hF >c*XإB # qcj=Y]KqC@.D"{x0ΔO"+AY&qe}N>tɊWa=b4t |b"33b1=#}g:@p{~ yeHI[Z~/K2ńAmtxԉTZ' XA|}%WOijx㙶&`F]{VpE蕣 +)shM46fd-;R~C}3K 3pYA"FUrW*M8bD#5g{UO"E<숹OqnMT jkWrz‚X,LQUֲZs43BY KTG@B4Ng(Ř.SC {vC IUUM`,:p3N޵iVhpWw1^X).W53mz/R1$jK:"#)s=(*?,G>gp=Vm>) QM6K0^*qQePQ3! ?UK"&(/55:͊DΪsa""RLaR>QLSd"xHCE ;ic b+)a?[MS r'|Puԡ qGw09<(p3*}}Ͳ%{ZЊQd˻vtx#[mxx. ᮥ!Q0cKORUi&2r|3?fgHD+B3qiVAHC4\rA+Vl,Jg0֫ P>.GY <'+f\gVE#wu$rAf.9LGGsl;0ˮ[$W%F]ŭNb쿏oMY)|} LZאyN`BtfR ( gװVGjc|ɕiPL=9x֢en0 %'hb$\vqJ=kR#xf|rkHPH+N:EӬspbd>ǭ49y q0Yt[QG*ZK`|e{{G?&Z|sQ ؞D%] ɉӚޑ%؎BJL.wE|^df<%Eԛa%uO:KYEHoKTӴ?"[/}4᠍xY|u>+[b* 5bPNλkX!m;|m!@jȦSIЁsG;总azFKqZ|(D uG{g[zf\#f)6.k=9#F999]KA> mI=XmD.U9.۷pt_[|Nwa '8`MD`?44NYDA{A k0B=p &IҎQe}"E$~ٽl]XX,[e[`h;BX?DG"VҎ2`aϑB, VT k\}/V2ƍXMrv{o;Wj7kfo./_nGclhXó gf?Ī.=ynK(\fvi_||i1NxvL"Aubq\~/w*4/9xeIӨRʇ aѷtMj,jVA. exA(\AƏE/>Cb˨m ᙻ%̵qw李ET֓D[za0 dJ?8 D2C| $ bH38-2C+%6/871d?f>Ƣ. ^RB hxf-Yw!SgsrTH|5\9!r~gҤXP.NBIkg fJA nű±#c J,ZqȆ{!ˑw:v> G"^A%S޴)Pbk;fsum4?,ne03ߕ~Q6'keZ8¹·0Mn+yCp 4sᢍ.y5d\m͔_Vf QQ&㰏!q.w>:Bh$CÜj䂍ٓg#5D?ս52{zj<+^> 8KԽg}'$O^PHIٹ[GUiˤ]cߡӟ{^L$VH ,iMI5?V8JJnO\omoĚY7iGC Rv B@VmO1oMC0g#䜥Qj)qXydD%4z$ȣ,펁j ذej#VR Ԧоq( HރQ "%(CkkxvJWZZ<wtW2::f9S?kdwΨF?CiėHNQ009~G>RFIC#Sa^%eaiw-j'dzNueUk͈~ɒ|j=\Tf8⁌kQ DӼ% :߲9avZ%^bhԔ(ٞy12"L"%wP!"sL!EџktI'L7@oi:Tf)V!%]5{HbG,n#P$B]auF"OO`>.bi,\7,ҚkbF })6$l{QcKuk:7Ɛz8:jϹٗG̰&~{xMbk^Ys)M?6s0.%HW[[!(%!(S,NI] o:hB͡))Py:bq7ٗQ8BX{8rB.a؊vYQ4R"S};C9;eS%$YՍ:Iz'h7q;bS^ R[8tq(4bbAƄfB~ -?f51Rl MRlHXqqNx&8E 8U,P-HY({!nX٘xpB@EWG7ę*'?E#h&&XL!wrD&O뛳"w[:x"8Ѧ O؜yĖBxG^Țq?p0 ΃Jފ # .ff̧꩎(!sG ?Q |O!~r)#Q(xEC08<نLIcgDi'ov,U2ZtM,&jBiDDD5 q1T>'Fqpئ*f˵EY&wTNh<]jJ"aɺ1qLA2Go[I1~KjLy(eUM]V~xs'SN`a8k~V+bNG(=򯴐ZO+JZ&jrlpR>g)Ďˏ2Ɯ6@[ >!yFiV96?|FHSA(C[C?g4NDa-` f i~- t+0Cg|5Nϱ`п9 6ڔE=TJ;`^pbgö^H&EvtXlMVܦM^9!RY[tkKɐd1p4iG$ŌxlU3A@L(G9`ٛjqW+27gTq>#$yP]RAHS{ bq@&;{Yjt ?wgO1S#$uWFI bPٻI:) ޓb}hIM{'a8JD1LY$KD|vƑb*J5gKuNiF!ɩy^A z1:0b8%VRYge 1ĔTXϱMQm,oEIno1&XB u'8F( 䑚SGpu?HpRktB4 括.GT(c0.C=Df^wh/j)M.ʂTVU\LdY "cahjTꞌ)>f-̨Lv,(\f3>k;.P56h)m Ū"O0'f}JPn&4jnB7]]s&md9vq;U7ϙɥ20ent '6H[bݰ|KEIKfbQ;g6@mtZơ\"CFd(EVv_W 众j-cQS6!?gAȑ,eX-`K"øihg_{/l שb˼Zz͞w9SzChFy3;3qqtE <'wyN{螺j:v񉆰L֚sQpJMGC4 z1*Ҡ܍m#Pj//g[JQE7?֏z/ ?HX> Gs h2Hسy̫%pNȟa{\T5V#$3'! P-WM98NI!QTdQj[*vKdu$'.VYBYvAYK|.PtSWV,fz<Hğcʈ8z’hrwہyg!S/_+r>,_ʗfP|e-?ſOM߿c2#A=e .r' 4 %1 gw};nYU1U_1.QzxOt [$,j S>Q(e _eyBdA!I;u;m0>"ފ7lɚ|HRD(E4 .^572[x79gIII$u ;IrI)67fdN`:n{M$4 甆0?͢"Ж~0&5|Ul̂]ׄ(O9N6" ɡB1B抸+$n1} ߫'mʅ1iWc (=\51}^fNĺ%{´0Lȫϳq;[n*|Y,kvl2Z'|uӃ NoNEb761G|KS9í+0^VE!]kcxOҢ%ɯl2%er Mf 3GJs$~- "?"@f<:kBl}>\\*f L#{"Mʧ& c82',5W=_pH\A#+M+(Im\*/ q!`1a@ `Ns9ωYpo+T~|!d*ѧ{qţc:$xr$t,=EDuc&\Q:`7'Q ,v/ |~\$V~âMV뱫%qp, 0Da92i,PrG EX'D̈%6`Q r#w<3!^FoRrFΛy^ e:oɠa)"DRD"A,"6T8E "0唲|B|62x;~1jNj:&muUJu#>E2q9G| y'~EjHo FcDT]/Cf 1q$Ud¥:Bx"B;>6Փ3d5跠9^!2C071`<󎜄hag X``MjM;NM}⠯%mvܿt{-^3}l-QEinjԂ^]w72~ִ0(枖0k_U+:Λ@(0~bn52p9!oOzоq`A/ȩp*\6\i[a+VMS}yyBlgxgt%ƍ7Fɹ*Y;k彼#`lYFs˲ĥ[  í fbh4#I"h,: ͩ Y|3_/}o?]!v[ny}^6dY4tgm32vʽ9('$N-t(%NCj;'ZjȌC<s..~*BrmA)O~:A}EM,مg[vZ0ֱ-6`,3w*ġV*mBKo:tp9BYs 6pC&6Q=3q.*5?+jǴM ^{C[JIkP6(/1n#Lo/ۃPI`'L躎Az]"PdUa\Z;b+K9! m9p<0uSk8nLgm7&QWcʈՖ)>y=yhMdd(eND ͱ@,ߊKa.n=EY:EI$H!2 p<#I-LO/=  bK94 NTŗ">T t;cXO>C3'mDx3Orona1 G9 T,~#nAAɣ/ZaP5]c+?Ǻy'PM1$f7Q5 C&p;І5%dT }X3?)z5!˳"[a0"xz"Dq.6w6 h{EmlؗN&0Ǔ#D0Bȭh^u#ӌzjWaanBqAA7~mFhUGo|(=px5OLa>1wO]4yIs|9587҉b.n}"Y4Ln玎SR@: =n^ ze&H oTu}0etd`GaFĢy`zYxaIފJleY,JiΨnNmWM4@|$/],Px%y^@[~ ǿ ᶵq̿DYj\uNDĄcaBן@o*_Ћ:y|܈Q%L:B7x}e}ag*lA<_,*[gz@gq^;L^2એ/cMty!!sj8S' C-;h5gCBw$M[>'G܈-q6YK:ë@lR 3 Pzc ~[;wczn#'ј4$ @@brfXKċ)E%Z'$ 5daQ,$)CY>2۔gOɣoj%юRܳד"g%ц#C! tIP-ey,ipSOj-C7-4CDj'deofZ1C/ Ġy㕙UӰ"iƸ!@jE1I\=h . h:̌z9!dK&7wvYJw{,>D]( k Z%PNOG]exmn*n4-6ٶhb B=Q H #W$ 5 vG&1{>ESWXYiЙpwٓw9c_2$@i <4y;n$ :+NPפ| B زYOf|m ѹP#ү0Ƣ_ D|f}a6&,@ +,iR  U+`,%n\Ap%L6eK/3~*@YY`Kϑ6qWv'`S=A@kQ+`|LVi@֔_GRFB^CEc@pFhmdT&ZpL-3j/X='@1}T qJӰ]@;X4c=~O77,n3Ε鶨R#?IJalF|N=m>/y 1`?D $GpLA6TUJ>vCnx]NTC#^i-O6"1-{)b'oO'94UGtg#}\JO"K.0QhÐS~lKbuY mRZdq~/zto<"S uo"P,9d-#0LȦ5q 'K9bq(E Ƚ"^ܓd9.\Fj͸~ ay ںuq۷h62inc`fmr5oJK/+B:5wLx r?yrĘQSdQznnZ-&Cdyhs"<h]K= 7~.5 IN,|o&L ~F ys"Gйw3iBa) OM(V笱0"HL 2ќ],{^'nhX< ^dby{IGg.nٯ. k BKv7Zps|Wv9\۴ŧVc'[Xz͗"׌dJpwE~& ǯ k@@L@7eV`jt^G9m.NQ&&rn}ŰmZX%05.Zb;\VTbR^i?>S`~٦&2 4p3Dh%]ip/3ad0KQN Ape~,2;1wގ 0TX'#P?Iѱ3D:˟ 6:4SDSMiMp^r?:``M-`ɖ( 6n t|MފW$ʢ,621 ĺcyBϟ+{u2%/;vLO<?xM0I-:%1xӅ*e㩝] Ȫ9R4dFqٯp=JQ nFf͡7%׿yC7"cR8pƗ{#r '4*6B;aQ(y^{>kvsQ<%ENx/gEH .$SFK|{|r)1=k1zi]) W6<&mT(80 A߼z SBC4.5xJ4O2lb.d${bQl*v(UԖMu"O޴M0ϱ.k#u o\y<71j[w_gF-!4vsijg&|tF4R( Mϑ-f F\8|\h58jX=YZ;!bJWsB,B!٪GOםѫ- ;~уQ8[ʡi3( ( Z1\l/|e:V/grԘ5OS}vh9!5›VwpA!A<ϼ2d/cX^sEem~B2Qm(P5dv1~D[]󩪡ЬЀEpČRA$@d7=*n*zwMx?{ʪ  A5bJP_R "h:$McKH%6u3w )K>RV:kqxfet~>G7l-ųVXd^d\h?; C(MFmos[qJUˑftG;.jD"m=RpW~/4fu:r(cF ΈC$87䐃'kV">5TF8L/Wٷ#UCu$TJk-!"dOF5C ֣W 8PY9G&` Eݭicg`e4 ֍=,cϩ:Mdk brQ(ɬ8ìTWrE૽-fg8F4Ur?q)?3գqaSi4c 0z3+X0:O ls5V;2fBE!-E::~гB%KjBv7~ .0%/ɠ,#"*ɑf; xI^GVt_' nD~\O ,pߎ&Ъbw$,JY°@'b 97\}*򉣸;5pnQHb+޲J7]oM}I~r>hC|AtNoPaY!9cH`p "lubovUbQ.3 B˰w,aP`YN®p H~.d+Оg `KP74I/11S%SYT~ȤyWR[WivI)ZBkr 5y? Ĺo vR*घhȈ'lXorAMH³ MÂvnfA`O l><ա8CSDicLQ@^lär ?#AtrAI5e:>F$J#0f.s RHH= _zULww?#LNB#p}ڙnU6ר/7 3CI9@\ SnbNa5nJF< D9O.E̳r "q;{!A*RVN, `'LCRS;)҃VR'oոf{M1C*8g*D %? Lk)XJ+JBq?I=pc6 c%LNF2ZQ`K>Bq6eGZf*r%T{^2Q!r{)W\"%E>UX4P{(FPL Ej_xA2fSk ̊y:bT_:5pN-Ϛ=xZFQԈ؈qMp|qx.8(o]+Pr `*̏=Cm&7YnwӄF16BYi)jnwrg:Fp>1;+$AbTM 9 ~1@SMS"_zLr %ZL(紷D3>F2dm掩& _Q= dQsG0!K#F_0\MФS%|L\Uvf<H%4)kRj[BCiM.tJ¬ҟ/Kf+y] ӼQޔ«$'c: ӔwO8.f{/jFJ(+l@&8cT ?`q/{$~{Ҩth ׷?rg(m{n+@ijErʪ*.Ngpٛ.[$8wOIń1d?d>ױw$Q&jm}gPy)~ l3h )=qȭ@D@~|SZmǣGaM3]2AS؛"{X'ls9ٱ=|˳CѽhϙQM}3xLݚlIОkSJC|Lt&BƂS92d. B̏1s8=N&$ (?"NԏTѪ?HǮ1ⴾ9ݦ P|S̏X ݧf0)ZzyKs)L1a1SEstRFÍڇ)PROeܰ&b´튪MR8:h:hۉA:A7gedL pG/Z>VGXBeIaDDUDLIHYk *  9+zm=>\\o㫮Vg?skLE\$EOi˭{]fk;,qٌuOV4^)T9ry˖9g|HˮqŽ$gk&a'zHּ&IS\kaI ^gr;:ƺݑ7O͗3ONA EqQ=+h uq2~[w+^"3cjJZC=wS%S@ e:z|?,oek>GB<H֓1w,lcߚB ,O@191t,%[]b"MU.d_XZ*^+I mD=uA7ny)MY!!2,l+ j)A+((~8͕0Y?0@L=|Qq L/S_ƃ}ZЩ#Mg(w3H/\@AA|tV}#)b?* jh=Q zk?7Ip_ {ح+Mbtž~,ܿpRYfڜ%e{);4)aB|;AJY6CLФcK$ǐ$?(WRSUojb4O=R.I\gM:n/6Ж81hI#GffgEh'Ý~72rW}IbͲZldD۱&n%,a;Fs^a#fL9VJYȚF.r#=t ıOsƪ C 9D6'$(1]Y0WKO:&@GLy "o;tuIL3,´2F@k7s6 70LLQ8#kM_ժ(b&>U>ZR_J$lJ5?{ ^{6jksRm/,AxLP9o%2H ;T&?O 3 S7e'^l똡%dQopD7W='adQ6:+7ΤlEⶼv(.?נĽ2t$!T1:z5iO2=90^ږAPۧZ1WVJ\,ffA7\%ⴚ8՚R~/ú#8 !G"6+FII'Uڳij¿֧~}J:K`VGڞBOCDs3{(D%AM#\m qM1JL/yoH^T~4bO'p_(Uk꡻ArN֘\bXϺ8Tz$O=`x+֑ wV9ˋu iAA1?hO:FU,㥱zW|>IOM]RLjarT1ټQO)q|6eRR 92P@m CF1iId;%yob03ҢK`;6U0%`0*AwψCMq 7"gIj1iҧ<:zMbj/EC$2|ƍД+sZb62+ߊB0}TPa6toX޷,E<„zdvU!*>E&ݼVʔ甥<$X:'?c}`5ӹfOOTՍn-9G،)a`zH"#2,x`/1Crpr3UMjR+j"1 ?a t^0y8ϊ ,e0|kl4(Zx.V|FK09zʵ? cMgDIщy18BEDJ k#*Pi9 !P{OhRK)gM+G;' ĭ.`V c}~hLK$lh15?"g@dL+j(E"s ?AYD5xl=gDLM_zXNl?ۛDS*-"04IH2m&yHDm]S\jX۟l2ZE 4Et=ߙBwˑ{o34O!ETT6291?^ˈ)"*8Y>e ʼnln~̡RvS0bzDZd&tQ"^;+ZچiHAឳ-n=hɛG n "51l|unHh%.fԹ@GoJ;jPn2%`'O•8.-%v$u#HeS•3+AR=H!mdG/c2V<:~ ؞*-_=]14u%5QS-g\Ra"bEY\Wz`sTDۍGFtKf'-GEj?K.R3U}Y-+Q|$C!,vq8[tR׊1^\~ vUcpԔB&*^^^9Bk'jxJ񑴍T95$c˨'v%Nߞs&TϜvavYJk/ٟx%屳M,CrLdo@7\50{34!博xQL ܭ7wRhEm_"c,`:}"տ3Y yHۢctIW~5B5}ɻH?paAA~DfP sZBꤡ_Y!41LzUI-e$5*5PKRBX:)CҼWWUOJ눵"Q@"$* \MeA=nIEϪf8aU$4L-FQ+&䜫L]]ɚ|.gSKYZ/5+]lɬNJwo2XFQǂVL δtحىlhv\r56X͟9s=_qw""uQ S/Lk4\_x]pGqzyb9zAʍ_ȭ EafAtA鹚.!؅RDF+aR\U3N"zL]e׊@& ~ӽ(H%;o?ieH ظj6[)O/$Җ&>7|ms򊠒MQ0h8vC&GKia5&tq~8'_ R@\|MR\Na-8"m C~j^(6hY?E00zij}oAz1CeO(:E AL=Bxeៜ $Fww"jںR aMl,obt Pdy (&q,5AbO< 35LHItf<dD4Mf0I:O7CMfxƥ=F" P53]c P@UUZH31Foy PPAD*z|iC[#hVn2n5($wE#<{ѧfG![a+Geq5$fZ‡ 9/Pߊv1zSbV`0%ٲ1gOˊjTKR M==6 >TbxBVmM|a>ش2c)¦L#mI*g@_t$[iѠӦoeXL|A)$/MA鋘Ɔ)&1Ř'^{]NQ]g0d<@/0 /%'ntyv ,[~33F} Dc2Ͽs-SVb߻u[\" 栒l;rXPcaO xU?ÇeH᭿td_~L "TiU uT5Kf'M1z2nV)mFQԐ8xsh4=\#|<7ED۾&/hA^dcTV(Aj,),[aWxKIhGg3hXDEܺn%f]6+M!\Utӱ"n&5IMQIew+:I,'m[:SK&q!(Ҵ7_ŬE%a'6DHcnޭia'4gEȧrpȟ1{3"%F*u7˒Jr&@طqo76~5P.mh# UcCUd"\>W/cLp3Pj*,vQ%U4{GRE Q6[ɸ}| <$ElDOOIxyEנr2:Oz$Ye=#!SݬQs67?eNK B5ϐ%=9 F;g'r޼.7uշ/dԭ'MOt'E%a{_,rl: ʍp $Dc0.2z^ :z+¾=Qh{p̡W""jD?O! 5nTcL,sFy;# SRtG`&D1;Fhn= 5Kzy,*j)̴=[o09P+ʬ/475NDs4UA3Hvg,ҝ1 ̯f's /r?]x4o3tvTWI!:lpBk1)sm5VL"D6BY(A_l?9DV[g݌V fH =Te1Z\q/!*uٷ tdҹR=Tr1Cq9s?(HBS5MiyϪcf)Du=**SAHufz>o-NoK-*Ͻ#26"11D39yp}(hXQEPŨFQ_L5mWȆ•Cn ~8,φY>l~½ 4x*== 8~ĉܐ\<% b>{IdNHׅ\GLeNo.ƠA<^V ?PUNrfi1&lz5p{Djs.}ROwOi%.ιi;nBJ 'ܬkwRm5jt'$lF\Tq7Qfo϶8Ϟl$摘vS֞PRl@:RI8CaϱNM8+P~jwjb"Y}ZHz9aC"-,s1H9σJ;LQQIX!Zڴݛ29+h҆p>lȎ1WETdiGMi+xmo5SPiV(䈺"!*viIRa95㒓gHr Ս'(iYc^#`b(/K0~2#ftғ|"$P p`;G$0-~^:׎"Aih1qlӽVEYx ݦ͒K\HJypy: , abV5B_γ@LB7MaC ȯkrӴ/W\Iy.~iy[&2g6,SW"D"%-N16."y0CTS!(Z\AҶA$Ik9DpxegT<%=.61yOT2C(z.Ftʔ.kYH %Q3C5CU+XruR$iR,JĎ%p# h;1\rEYA jN(Bn*4ʘ3T6iZĈ_DŽ~i eBTD[)KL]6~"MA$SwQ?srvSnߎhO#g,0-SȥpS9P H"1ɨtVQ 衰P)^Zo񌙏 >"E FqD:(0,y'O[KoXCGГ7?؞9s!H &oW(E vuhk)+8F{CR3tA.**AP_ ![Һb`%XWή/w} zP'%v*=5hPuм=EN)q[J7PModT6q#m͋C棈.p̑o H9Ҹ*d ZrC`B@zŵ{MġF=(\:'5s9lAB^a@|ܒFCDIp N`]_kپb dRT4)O`]vޗ|-!Qyċ4?eSoY<]˕pHr` <AtC?e*º_oTjѽXnB Z|>2=]KL-iНv19aP`@ǐg:5YNu:&0WOO3$.:yŦt)g f讉K*3/&DA]'8̤\=- (/Ԃ* 2BKSU^ybM#eh(Z0]ڑ>&F,g >mG2ޚSj5mqCsd} VUM");L}Xh/EFP*-6 iO`i9=K}1>ik}NW65x-hh=7lJnapC:̽ W4&)Z@9׫uyCI+-$H6)I7F[j AcRW !r:mf/g%UQ_=ij'u^"O0ٶf])xtO`v(vsw0hClXsȻ* S\?Μ>$˼" ~}R2*'En50bCwݟcv'K0 bF"Ocs_ݥ%ؿjR_?M=ŦBP@b߁8A;L"%Q)H%JVU =`c?]շ긍Q<5t/:ץyFW MFߐzUnkSΗV70ҡ?e'M$Lw툷q6N{xsW- y/#ȁA@~@Q{NJ"@Gz؜#N3FT#) "Wrk[Gr4ۣDؗ2]ƄB>sZ6ldX51dU-JG~Pp*6#KW렐/j"vSu'HluX^&!Wv[QpL+%sXJ#^bQc9ϩA|O6mhva`sm%Vtt}UZǐ˨83#c.dy˙/a)c"Jzʮ QlW_f8 wbv8]S~s1mKw`pǰǧ;W?zd*'[/y/ zCmq*5Μqc))ǠZp@h2hjrE6'% <(1Kk4A+kKY=qkIvd z-i}Y:ܱEI$z4> //rVP^ć#m5f닭<ß>݊("!xՏԦG[Rghwԅ1lV\,UcRAlGReN۬oKэ"eo>7 W"!b+HeiA bؘhgg Ti:~>nEA^/Wy4q@X kbT[^[ Tv+A"4hY,}G>1D:'[a]PثLSBܧ6)QCt}QtL3yDzRuNX ]c^LqR*B!n`9´vO`WC0hV2Sb "("h1'gE<4"NGs?jBbl#FھkحKb"M9Nwϟ3ht |EqQ& [@b{4b=£˲;-Kq~7@%NrMm1ѐ{ :CdnX*H4g$BfDy_#^sBM*?Aв,4•4ψmCJD5SCek [i'JfP5jG&w:hJ**A۱C  @aa࿰{yܜ^΁0d?YGrPbѷ=BJxFWKB͉ .z#ýi{]ji7iuJ+>uHs:ưo`@S_l{wTG*l~蔘Dj93' θՎU546ßF [pW.J2v׊=:,-) S!c- jtĵMFK_; 1~y?}X M.g Hrۊ|S$r.*dM$E͗w7Y2Ce1V2 ˖Ww3~Md3oH=S9OFpVjɿ uR70S8C)t獡ޖTV6gmĨ|$wH_,uA,|Z5FB{!WgGBuF_0~SLo<(qϑ&f5FR ͟2_zh,Cg<"E{:&4ЗF*x nǩI!rDE0]ܠ_.9xц!A3Jp*۩AHT7( ϐcvgm,XF&b*k1xdDKW(Diƨ7gvwڪu͍Zu"_:%Z{rQD^QL Јޡn5ݹ|v-03m{=律8u5vсR%O+cG_^4T&ˀX pҐZ \q wkoCI].VKU\6kbp$/7b^?G)KIXgl=jy ncEn\kFkq>޷CsG`)[,"qH"PiV0ya2GNUr ׹,ɥU*"CK 6ƛp8ߞӛMՌS3 a2fOB@#2\Mq >β'XJi ka߫WSu(9!JPJ49˩jC(Ř>~C0|Uf9 'hZ&ՉTN괠(4WBy3'^+8J|1u0# rQp=Uo_ݙ}+X1+؀9J20Ŀr "đ(QQ+WG˭/ ̒OMhҬ p rĽ,m!! l(7RÛuqA1DGwܐ$zH<x_\D/^Ss5i,cWt DV.~1x[dRJZ<m Q& L=r4} )k)?h/'2tK9c{yQnG:%0n: yk9NN@5:LtЍ' 8ƨ-7CIIp\p!5\:6QCl!W鏑]t)y?#ʧd̚'I8+y,평3…Q0jO*#9nL< (CcIr#!CYP5z)qFPz#ZZY Ͷys;Y߽M2q/ɏGX`8se8HwAT "Š =軲²b)jmuXN &_ȾѬmјExӞ)R_51#2?n]oD>D CH#Q ቉ǏՐi# . ]i"=.xc#Qs$micF{Y /b?QrR꠶.y|֍!x.nр'.L(%<|eP[@7dN`ʅ*8g۽MDFx  (A,Mi1cF3eۣjQ4 pbġVB1%E^jX,<(X'꯭Z4i|3fjg^ے2 YV5H (TWc/0]AYd*43qf14/&6iTa l7G7$ :qK>C@@p:y. KDΨF dra;-,J["AN_ydyDn(ی{ao& p_HVn?96Tɾ?&RgC~-4Dسңd7ȥf9TdI=#(2;cvo{ŘI9)m*m{^8cL?3. @#xw;Rq8ķȝ/>;bϴޚ`xqw¦P|[vKDfD XLf:l pȾG;⧲nsw"5{Ƃ!Go -R5R q켞cF2/k(d?b{7[RyXP}fgC';sh.d 2lX63.6l<IPL/Q)Ӗo~eO M3Oaœ3)9~4HҺ:u(J g 1 e3G2]EA0EF^pj8"}mvXM\Y9aq j5g8 hQ3J8awKC2?Jkz\}bXݷB| _YG1XLOQJt*s%B%?"β3p.8F74O d8zCtGkM1} p䷴R$BJ4(@<7=.M"IM>ېBIuJ/`<RPJ|IQ'<8ܢzOWr?,IDOMыMWB;p!1S&^=pOuȜ|Mӻ-LjhّڼS*Mr x1+q*$|GPP^n9ғB9?U[#Mɡ` SZ\̉\͹Niq,^>LYY$s毧悘۶M:YE#Z%+CDhv",a'd]Ы Qګ tJa(H W8.[w>'!!t\34y=[JxRPD̾}'O%Gk%yb'%O1H5QdxkRVD(eF2 f:d A@K0$M2j`s9(z'3a:C5aV[pj1d8!0CFY}d,|?z.';Ҙ>(2ggKT/Rv%`B0 <PGZiӈfU+ܲ]d bvĎD##=0W,4J YgH94CS8shQxV95v^Is-MIFpc=q)uFDvO,{[BL3:"'u1#K|oXx93*4Q_;B_ jNJ苜,3fYne1v3EaXIH|8xb?F;*J2AY'RޒMqKWN29wW5%6--}g*E`t[۵VȜVc,Q%27cOao` *<ѽ1bQhRHWZ3cq4h*!|9e@)&( n1"y&:fٜ dU!Ğ"s<)dh"%zYckxLIMWgd\lHvF먋&cP0Fу>#N";L ɀ/Eju"Tgç+sb$~x]oKTڑB#`߿h[ QS?4Un8bgv"XۏD;fR)'M Hfpٕ10K- 2육+.ڊ\JCg+O>ߓFš XZwL~otOJ Z`F:xf$ްK(cO)\Z+;tdwp X6A~Q mfQ%kbZvbS1/NеmE"R4w 0ernGe!EaHSC5FE:GS6Wm\RXYްF¢A-cn0̐Ed *_H@XlFb_;5\['I"9++i4 w}i}%w-l^_]M/tt08T? CQF"d&-w/OؚpF 1ƒc;O{ MG@6*XA UC}D񗂬3BR^ȲDv?#n {:rGpOn"k,sw"doļ+, vҖu3פb!p$f pI=,ІbN2?!8WfDN,EW}i%[n`C[*Z`l G{:Z?8; ꒶)L*b{{T I/b<ᔱ+Gc' G+C(p?Bn0p=aL VO.%YԬ&:O٨\c?y/e%CbrL %:,-PdrsSz&U>|I!͹1Ȉ}VB[6Mg{:`ڍg%s)&'k94ڌ *#dsaL>ʺ%4gL9ut%~zWRΞD~!8}2k'.n\d@fMemgRb4{ɹO1$tT Ǫ}ۙcOo^U~5F^=D)3TIADYV< 55mEaWxV.^E7qbPdS&8-}Y՛^gf믏>ԾZ]JH]מ`ӣ|0-jjY-RZ/}Ơ͙ρN9X3q)AQcd axI%j7Lkm7巍CW_ϭFTJN_q2TPP:ݎ \ÑYIMGh,TdkT./kKNg{'RCA'',uDz6$^[@&, {udؓ/㢞}y6C i*s -f7/S36•$cW:Ȯu7aqupw&5ysK7ê/zb]¨x P=$]' S9hٱ| a<#q-XaZeJ<t'ĉT>f8+d#?mRYv4JTfCz"6Hit%)p$'$S !cnE>IZ*wF%+0'|buc~zft X'9cwXbi@6VÑ8N;",Fv 4jCZR8N/hrEKwEh5NQu3dcYUW!Mr4yx-n/|CTER"GSF<c{gg@ IG`3hЇ7gyꤘ*qQjbwЏB]"ٜvq9<\ y[=ᑹ"&$oș!]#X/ݠx @,=7"͕Xџy`"A'DY#^HñHaQ*,cS>:f:>PBӬF +ߣ[[;&R_:7Vg1C~MNdk8I|:a߸LM (t{!&xL]e >48GrF**7()'zBtM:$GoO6i' " PGФuxig#U9nғK$zroch$ f.# &aj`3C_Lk s)*ϊ.= .A8"pq0\GZFB_FF<Ƙ,3V#IxBFP DqZ#䵛R,]ɢ*Ƅ_Z*neKN7V!tT+Յq>OVXa8BOzbݼO=ftR]!yi ;)0H,C~1J1 ۖ{~%qNǓ5/aJi_#wBˮwT3v|^$}Yx}ig)aD5#T5.iN$hYQl;jd>*^6|ԧb};E[qoi5/בas1 feѮ"pLA\肗)xD`)'=Wty*Pt*N#bIr4 :4,p3$MQ1hpLVs^{ͣq>e ĝmMѕ`@ ϝ>BIVxj$_qqDt娛*Kl٣j,J!`VBOC$۴[ZdfTE^Nf05U%S01ǘlOp/F[Lq/#::=e4e >* *?Tys~(d9ODmԑ+Ij/xܧc;#>hfFf90X Dì u9e&?-'pӬSJoտxL_zI^ŲGRd^v%΂GVr*e' ^W 8JIJ!ڷ+& OUf&Ei7Iܗh.X)n7rB:mq5X5|; f]Y2J+>8@bG{,0IJ[/Okl6[S 8k:NАDOa?rCLi Ѯu.a(Iz+u)Tw~6N3tοWD0͚iFֹQ9ү~ԛBf\5MٗU3=2KG9"j1?DRPz:'8|:]Tl&yYmߕ{/QsWEi܇)07{Y%ٖ?Ens_d ""o`!`C"9" 1ƞ߃gu3I=kW7E`kM=75g~\\0ƨK G2qTq3."ʟʉbX`bN O$âcDc7Canf8׫u' T'8n^N"LF 0%:a@b}qC?&~)-8\bƊO*SG]V5aT1^__' e=^ƳD=ψ3ŭDN >.#mXxvY6!4|OA;xHψU(#," S4W|xi\ER81wu Hn?Xܙ9zb>axěC|"5C]1qɬWc4B#YAY#${ۄv؎dB1Fl/ٜ%`X̖srGCm-0Şc0S"OL8D3&5mոDg1{kx4q#5ݷ)QRq Q0cEL\yn@ 7Xzsb//b:s{D " Rd J kN(wӒ,->}_94^6+z`q)OT%bo=uMYE  :XS_Y'oW#lk҂tteMbJTE[Q:q>u2 ӞZOz?ZgFa.FO&)$JNiTX/0$<|A<< v$%~QJK\ ? 7.B,Pƈ`h>ZtBxHS^}NX/|%J:'pINKt[(Ub$-A?"(zFr)5&oh0h%v-ZyLb5,Kar[F3sN3 F)~{ =j.Rz( b[_\/Z7jz,Jֽ֦ 󆼤_^7 kgbRYI|>?q6T z-9K'P︀%#bYA" :]~[v̺˓%%\f`MR (x ~|}zɃ0lΞ*DgGP%_wZZM-S 7%f$ZšVQ<.OɅ|sfRȷ#@&N<5$p?:E&Niq? ̡R5:~>:eu+*[,QfRdxmw}"HVڊ@<9N ؅})_̸SbƅESiRlHDLL nr=áM T̸9$8f®sO:VԿ.Hy ;Q)X0wV?>gI:?C4vblf06E(S*VUq. -BPz2sR 4;a8 ul Px'XpAnlܿZ02^x|+D>p[\UMY:āC\͸<\:'k/S^y/ L܊k sa{Nf?0]*UkU8{w[q苮Vqt͗j>@, ߗDr2ɂ3Uy?6V y_ j.{*-+i|!u۩_jcoYtfQd} 8&tkt ࡮,Ɯk1fUD(Q,dw湔sbq CFYR][1Noٕa歐29Yר%[&*LsiɅݗsM^he8 t#n' ȕ(7JdG+(R2+o$q!s`A $؝VHMbow/͘b`:DsSˮlk'e" Vd (~D|jRM7h[@u?D*:995 qW9Mrh((›B~w\Osacүiiϗu)%"MW `y$F ("Ql t jD֓UQv i|͒hƪ,V>KkUhS!_LM6A2L4Izwm?`bս-}uF|n%N9!K~4sL1&*d闟9P*&BP }+`]D$uEnٸQi(J$vv+ο{)mvDVXn#v[Q/jڧ kG5?͹[0Q Ĭmr~צQ7yn[ߛEqL@mws:*ŒݻhYl\Mɴ.?e:YTeLhDIq \z7p|8fwWdAMCAΙxػ>~K:͈['dv@ 4*Q /HAEi1 ]!ܝΏLoq#{F,zJ(` -`?ESE)"(fQXO`RDd*ĉ[ )08pï{#"U:FÊ12XIIlҔ+W^`tMAI}^C($OT zq'M࢟0_JOhNsČҚ?|^%- .G| kuҩ:k{} t2SVi~/Ky3 '\,a_'54؄SqΌOtѧ&<4 L"v҈PE!=gBDH@`iFSޖv\0nnywSZ:+*C]gsB^䩶TX!OQ:؞HǚEw!Q9!5j$쮤io^mGrERGWspG(SD&" pFm) fq+{ObbZu,+EyzD|g5i 8rWٍ2YڼތSz5YTٷ)ʷ^q Bhd\dW^^*@{" G B7[ tdv>;51œ^!h; 8#"_?woMQ0)LwF|u-6'|x]F\Oϩ9j[)RGl mQ>>elEԳ޳BSd;]Zܕ2Ti3ݗ|L%K;ql~9|Jc)ޚ._Sb59Ȳ5sx[K*ep:&PYN&u!&~d8 d C)N 9"rfAүaNn|TpnYT:bxNo4@b ~3_j9l'\M>~cMݰ&)QV`?$`L prX5Nbm5̚E@A7[Z+Pʔ3S͸7z}Q4a/4hyc&KTEۥ9l ~ f0zY9Dj2V"BͥnHdILJ)CXsbPm.J{)C*pjtiq/*B(r{)+ ]ﵠicᒩYU%dgpm]Cx5TDicVUn" OiLH0(ZTNF>^LÝԴa0{ҶFEbϢq(v&v eN6t6 fTͽqﭠgx<=5qjƍDnm֔_CvTuS{ yv޻l5S}9j$(sK{IA^[|CI&%DLI.L;>b3s@#̡ yџxKTp9R+pu"pV{.© )9KST G~njF(eA4oP ([Hy1ttAfvLeE1ĪAYMBYL-xSrFdd`wẗDʦzd`I3cc:1E `%@WviJ}*ztcZZ\UԌoQ3zbM 0#Y(Z43v;ӷѭ*v/ ģ 2p 'SJAڃ:ñr `rOQ(Jb1-hjZ,h#ǕXӶIང_-Uaw$:' OWjƽGqUdMot_iVʺߣ~?~\1Z!1 Re.C?Phn#5F#N*rDAġHݍ $QXyaGAW%8]vyu&*XSbɣ}q5rNBmA^)xŢDiߜȤHQy1G5i ȗ ˒0|JOy⻋*v|>fz_i!k(–nqIc]>l>_{ q])'2c>ogu?FbQe)/GVd #g=Dq0P3X5mHXRcɲV&!i uLPj|[n[̳߮X&!buε"/(A1k2ࣰQ5K]QyjY6JdIH1.WbGcU&o4D?5mYU)ؿ%&riHwhY~c>Hr5K)J)2VH+<#1C5Soâ3)vHF(b|E I ~g-#Bh*T_ĉ!u\W\v@qDSZ"jWGW/oʩJ]@O~[DhWEmקk7W INqs[)bb}!O{{QB+Uf:c1"8ӎOCtU4 KFs6y~x&|Ng@ QB%R Zt|bJ[߭^|:1x!$<5朝W)H\5"F\RIa<^7QsWgd LuB,L Ur0F"|2(µaTy^B8 F.#/cS*gIz%H#09|!#w8 :P#;ٱ˿/O&lDyxrKy^h'Τppyw:/Fw"CK7Tސc`[)̤IsVǶ_an+*.3WcTllu]SFkQD*#.j(P &Q"TL!7X 0Eĝc.z > XHpliA::K(b  ,DFP9ha7iZH} G4ȹFe2a"7jyOa9YAu&Y|U<.E oDD(G=)4asq7᫞Y 'Tbf59 w”C0- Y3B2$ *?jOEYR4;@<(,Cf-RXXJzܰmb!i[XKr}hdH]…ve gO]B2>Tsd~Ñ??uꌪRtUw̛V:o>S +!<ġr$ŠWTYMPAkqr[fE^lLgЭ%jFMlE+`L#|މYOQX#sљv M PU qdW_VTÖ̸"wiJ"@aVءaS&j 'd2;X&^9h.S[^36~J<6⤼Խo&N(+0hZr=@ӪTò?>).Q[`VX+*UR$S\71oG[*;2Ei} ";Ue7c:g kE\abHhSt.%.-J˴,tL.XfgŐb]½w↵n԰"[Q=J!dADTӐp_cĢRC!\1]gz+w;ET. Z,q/$4IU,3%{I2|0V6p"8}+⏢GXf! K~>FfB^xT++kʹkKLŎS UE9S^\j &?Η: RY |<2:17+-R ]'YVk2cfɃ^&`aN-;ג%!<LF~iSSx؄k:qg};*c}{8G$b8i%fHκѣM68(/#/ KHLh̜"׊ItʍQ8dHuqi_w?߭aIDGf5hHXT0\51Xt$7uɎVBդw~xlPLJ` 6"c/YR(?$N0ytdPj GO ~kO2j=c%#"(lڔSߝ#/V֙dhF^7% k*%wul^EC^)yns2:椰!qNcnfH9C|ٰ5Z)y(Tk`)ezSդ]cdnb%IT`qΎS8!cmB bzmr"r#={ qI.gUO2J#f*x @s+4 c2rjF.e&i;\ t~jr5o7D; F#H(i5EDx(E68cl 28]S N9nz yX} Jx%/r/oxZg369FȌbKU0aE}"J$8e&PZNB23čՑО" fpGŏ1~bOmQSdS٩+yIs-GޖI)|g y#+Ձ:YkOjNlwb8gsPP().'zkHh2uPH uHmh)rJjTP# (\3/3&ptJy' }6CKB1*ei&7d^׍GTiQk+k%HAPr=Zx[N#Q w@!oh t[B" +4qolmaG .E.K8Z}`mfȝ#xNw=n|Lk]$ɺqO=WDZ_:fZ6A}/VS]e5V1`rѭO޷ǭjeOVM4֭M"܃̠^KEgm8ƈ(uA'2[#e$Bu:ROe>H1eS)>yT1cȧ<ʉ͛&h|1Fs-'w l%W\pпϔu-UxwM`zQ` "Q2{PE3, ""HH"+Q!B~oYdqRD)>pq0sF~ \sѴX,&P{݅xrxdRRG \WyFrt2Vm!ѩ)1Y"-PCW@6 (|Bc&`*hIYWWZǦo:.gQl_Yk)әiۮw/QRC<{kF<5RrfcNIc?& L:59/ R&FST GkC*7 ɘ5S Wվ2cYV6btzJ|FD=3Aj?ƲHE]e:+8ZJM@q{ۄCh&c#pxZh`dt19[S%V{ӆ H+Nl/,TfxhR`uG^m$tRI72≝Pl?.pQmܿ+F#rhՔ#?ć4&#%$hؘl29Tv8BO Lx}ri|RSlCqK T>:QP,pѦpB!N9O9;7"NHęyZ#U]:ݳB2!FWkg C28) 1d89AVFƎvTҨ/Ί`E7g8^j*!c~Y88&4mP 1܉u}b PP+C2y!-V_ g!KhT*< IA_ ȴ9X10:}uu0f+*y~׳JK@b/lņ tE NJ [DA 6s&ms/yuj'9G.I XLC `DcwQ'Gc\,J=0Bүcva)?W@ȨLwGJDvʩF6d # в+B͟qdYE+*?Qz|N٘y +p 7/EdHj׻ Oc87*{Ho~xER%f4:<[L3:D88rv$"J:}Sfce\?&ոc̅qߞjWG}D$ַ<dH-)CK{@+(CGSInP7;`"n+M2{YL&߃)duՕ5tsy r9;88 匨% r{(M#3.+f˨w͸&Rj{Y(fz(vչ[I^:"M k&1*6]Q%#(r~c=I et9Y9ȚL1L3!Uj,{)d.>#ѽE|ı*NlF>/>8qRdG%_3Uq>5J?+<M>^c<׷mZ7۫._C*>a29j<&Ň+XMp7D lL]k5Nzߣ$ɜPJQV;^ۊ+q1 ^ᛜ+V)to64qǴpŚb^6B.}Ky&3AIrbJQʮBmY6!"p̍K\"zd A|S0BܙX&Q#LwbV )'MT&~u :xB '(BH{bGc$?ݱ!'s%;;{U9"Qb;_-i%epD 30+ow :~~|SԻ*a w ONRw ȧPxRL]]RCj_a} J82IH%I&Q!%I6qO|'m5Nq(őDbJd HqwE 9/ɤPUn=eBHߢJ}>Hou|`Ҋ|ܪ# k4vQT}${fdh7ᜩfݠ{)B;e#4W#oAa|_TD!? 9Z$GU cy\0es,aI\)@"9)12g˄O`#m Ҕ0),ǺcY yghKW}5ge".&] XRACdU5SO> #OYX ӍB-vybGy}$%y t!]RÚ"C^x[Dsz/xJ'z/Vw*XӘ$)EHpN.[^1?!OiGUͱ _M ClG _>ED{-臭_}Ӗ8!+OK[0$ Npb,RH/kT~^P $Y8FEb(b,Y8q)U4@Fr0xDE  T+䬽 .rҌq z8{rrȲ,Ү92 C`*&՟' 4NeVgI?>OiV>(n =@T: ,}>Ȍ XWBH.v>*ER[V+NKfðH_kbqYݔnW2GG/+ah7UqNxq4C!qOW,|0t0xؑqf::JFVD(ZX? ޹zg{>CP;e,(p)WiQb!Kako REzQ<|G8X?GU=3u˞oݏq|N#]a* VhzmZXaA=mU\(ONǃ((<T;?!p9ĕ1q߶#z%W柍-H=BeJӞWOħ3Y 2epʃzOrED,2AET˦ % @)$_N+>vgEt(U3CcEgT|pG,] zYfDT#7Oi8Fg X))'3g7栳̉S}w{:(P-;co17|v8+*ԍ1g`e vux9d)=}/W$Laܕ^$y>؇YP!M#V30u0|}d>%Y͙o_AОa(HǕ $q=5g'yI icr+C8d@:3fSnamPUx. FSqRȇ%Li,mGއ&HUOI"8ȏ8S8i ia '`Pyx'^*cG¨VH?|2kJ^q#D(瘧{Hi6Gɣ*J$>d/:|+n/#Y{v튝Ul"-䐼,y:goxAݝêX1FBPp>۴v3PWe%>:RVD'_-xU=^N7^nlF!=@nOAZr9qta2Wc4P$B+jN)wV-%Yphrd,D{mKٓlg%'+`?us^1%+~;E[PI({BPldl\wld^ žKdRw*;34-@RCjk}0C4jr"!wg:lDI څj;B PaJoRoYc$ÁfH:<#̊;fWl {M8~هfQٰnH:m AuQ๚a! \(8 lYK2K?5ƔǟbV `KYC9`ȗ4>Q:d gW0VZu1lf>J7>ҷF8"ӫ]m8\Ʃ\t">Y^]\2Эߗ#嬃9:}\PC!\XmQlFfE=xƦĠ*3;ԅaR{͢Yf\ 7>4:YB٫퓑:^,Qq0;a\2meh.o_VR _l<ƥ~9Y7bT'!ӮK1W!jMoζk`g>L7,ĭabh/.l_ "?Q}zVW7e}ugD!IzE/ _Ei(%Jز] UgAcz>87y(ˬNgt+p Z|Wг$xlIܢ":ۇdJȉsH&Jۅ[bYj_v<7'kG\O5}ir|;T]oo9}Ωw>FnQ#{5ŧRD2}h4^2>%*_~@ݎNqhI?LqpZ#IoC1#[h˟RZ=:ܵbRbiXTƉ[QQQO}R7Ѧ)rW[N C?6ۧޫR0 r,ueRem$.V H!9=BRQ  %y<]ȰrhO?K4j՚\JUգx&<Ѽst~]s.1Z=꿩sX(hssZ_ϴJo?F%D-{1Wq^e7^^4~ $Լr.'#kYt`g6 2A ֎T5H弤%Jvy^5;Xva'%Ƈf-n(Ao^U:)q23n'ELIU S,o#Nb8 /w5WI·"ֆgitr"E% z`3xfuPͫeC3 x޾"bCs.U,+%]'vuT9s,l#ٴQ߫_0BC|4ߩ,e)[`w [w2י0~IBSLPޘaXf~$PJ\"yPБo'nkJj#  IXg$\E/9#=6*V|#אR)FKG%; K+b.}Vr|M#48Xrfűhy5Q:pgjͷ!hg ϐeآ] =,j?q"Oqܣ2)0\թHys5y}oꞓ3_,"% H;:~wI14:]-MhC;B(i7%.dwc^MePYn/Z $a ˙`Q<ؑ6,QuVKgp ҔNdnC3v uPQmr/V},H8&+b( b# YFfJ `gReWl֊ܚYgψ?[i4F ?|aX[2"ɧO).Y 񗶼z-QȏV-()6V#F&̫Ia0OWdł~ߋ(`G1;N$&oCv@-k/[⮺+S. f!Y_>9VN,".x8%dӺ,zߨ_J}H9#57G9*R2v"#g4~6n{"[9tԃ0r˂HKnb&QoF f1Ba9~(DNq^џKM/D=g\@/ Bl#"o{'Hpˡ/)70̐]1z|=d_jEw1CaGf@ib?YR/@7/R?..Yۘs!Jp>Q\n$df67VUI!C(;&\Y0*ohڪwQRyxJr^2>DsУ(6rpS2J00 ;reJdZRE4BbuEv$zϐTX#_hq׸*̈́Pnn;(ʪ :7"r=!9"^$y/z3Cb9[kqeps#tBAx5x:SȊ芽F.jX"Ԁo"TU8gcMfS ډslawZ:{MxxĀ0FliPپ;亷IϝSfS,un,O`5C&(-`RS01Vd!* ]7ffSMFW#?V{߰ 'ӵ4oSc3Մ%FJxe_$4ɶP;cJ$Ɛ[g0/jTV‰rLuDp)P:QP^W75"0>exj5n5m$\gFn=/1ĕQW lcKrqo(;gMS-2N_1@f 8l*FC/k |e`<@ADEbEd4}/S`u[%rn]u'3'g{gTs;ANeQ*Nŵ1t %50 }SiqOYnLl:\=:?6JRZAOsthPf{M8gr0\)m*tzQt knՅÃLs{`B!E`njCeT+tœl8dyޓ׸86neXY|l.#Л;.n;9z#ȜbdGLm ʌ1nw|Psr5gP+e[1s-Z#hWXьLʧoO" ٓ-&<Nd'<7MGn]`Vk'j`iy (>i %o |hIthg}z (yHyǀܵ ˬX? D:Vy^;ywZ4!,})K4 B$p}mE(O\IDwHYJan7}S4຾Zmp-J߈M p|(k*K7&SO7`0'v NRfS'f1v0Ft6CD\ʒRElB}/tf$ eaiY~ Wk^(""v$19ڞ~ #ԯ/(m 7=ґ%XPCIY+ /ڶ6g֠zJ-F-&[:Dο4KݖDP*+ɰNU^d *eYo)uA/ȫѰޫ1 ~!s/w4|> j"xT5X4;:QpG2!,ѕ g. YF0Ŕ[b>l.WKN5NS%<o 뷨U^pQHCr.pq`#uD:FX`?Bأk,QYOd-~cRDE!)'C%. &R.;ꇃ^B|0v/]Q{}!&?2SnRQ~K [Yrm{]YS&-jMZQ X$0>Gx놕!a>G4fe ϟbjȎt  $ul@QWREب']OED(K>wfrܓ@.+G;`i9󼢽#\zf҇(E}Q^Ȕ^!$VJ+AA8\?,kX{0˽RXmٟ dRJ}CD$ǧKDq>=ئP՝փ<^>e3΅Pbի^ d0|E]+|Ǩg Q`Д1-"ѕ8U'f'yO5Ms/a=nCzQ_ynI/tMJL7tEc#hFeɲߐИhþx0Ǘ)t1G!ũ1QEx!͠݌4KWZfSn2LU`]Sz `dJ̉x<%7`˒PM0:΂g5qMTc.֪5:Z~p^C?S'K[̥t15uԎ TTF.9UcFJ6EyȾk=2}MM}M!>W^/NZ95-[}D$`}0! >ve9a d)vH$9f=+6i濔hxp,[Ǵ1B-0Z`j.#8ǥRpO.eh\v?UNLzpQJ]9V&7{i\_kYf"@~X[gތ㘉Mr?ũE'7#CP4_1 1jd!3i\dsTF:a)e跠aA@ r[7+ρbdCHJAj sJVY>Uy ~&+ 1?bLp|LT4& = 0"؝aZ>Bdˑr?;إ ,W|#Cu8M}+A|E' r8_gd@Q&<"nsy 3\Cg7\JX\ifNɞR,r{R)n"7Ľ8){nCM}J'qBu#1&˴QT׍)K hT/gEr^]剅F]ۇ*Ϝ3Τs-?F^>& ݵ3+:^&5No&E'0;d .EPxW \}N!p&$CJ2JR3O%1XfcX?ڶ7aPq,L3"nEҌ{R(Ϳ c0+O 1&H\+nJѝ^Y`9 U>eB9S>G `ҚN?Al~GB H{#YBv~G1 Q nh#OYDv=u0NnĤ. ڝy6cUq%3[B_Q 1"0L$15bs58ױ!;t, #ٹ]Q-[h KxLjȺ2L8XƄ?NWec)]\U @sA}WYd9ˣyœ\I3"̑_4.sK"gtX^PF0E琙[8((fb1X9j'}pOGnnxiY<~´BM\)?Ic.()FO1^3(i] gL1aF`_3ɟI&N_CKy)<tDf,@sz$:G[^<9%Mr(VnJFΘpS!j!ݡ>4Gz-@O`^%dgL1_L&5I>yqHˁI9f/bVN+:V=*&F~>D`oNpS<\D- #7H `p2mB%R^κ| :|~I`9`zum{*dNݹ.סqw4v* 9/\ЌqIrVD6 :ĻadGo0m"3a1z(s}=֣+%2H"GA<9%ضauܤ֓dHr^22.w^h_*|x)(xyc~xqt3k#q1g` =k.S)W}'fiNN%_/2e#*DUW9 *!MaظJPzyDc\%0 b)1` *id^XC(;M!|g/NdOu7lj`0bf+ZsQa \A՗>. cT`0iƚhiX`ӥA$B  GcJb1bF +`1F b1lg`7``LDF9:<)Oq{ߤ7(BC*cФ3Ƃ7e8B$%p݄J~LM &8tѸ)T jBWcF-g;ՠQ_/|Rz1e$6=;kRط3k ?fḙ#h\/{J2">(6[>G}Qv[tUk{'mcs6p %!C)fr(=6S갞b!~UU!DY ԉ2 1i^^iSOfT7V {Zjq5@?л_.hT̟&zr>>Rlՙ*rZfP() }x,iB߼z:,{^h~sݾ:dTHs D#ƁZb[pb)?͞ gV1siC6lٍ1g19ihp!M444ӃM1W! 9K~aGDB!),A]#CiUC= xA"_8Rg B~VWITA|6[KB@PG>$"<BF~nyj3qHQ Xĉ*{ 9x@٥.'}5Y#090)[^#R`ǟيZ!P;8#N4Ͻ(ʥBuvKZguwvg;cJTKL5Y)4|P#胤 X(+QH}my6g%h.f,\jՅ ꢸx[MLecL ?1MȢZw5MDL Em]IRed9Ɯ qe0Ǥ;޶L(5[K{@~"௸KytLȽd>`ޝȽ #j*> " aE3%uPtC\C} mʠ=ɮ!Cw q;(Bq x3#qǤڒLVirFS\&mȩέ\Tj$d2p<$,dRzn"ŮxTnQj-o݈ *;C]L2/au2~y>]B\S@*`z=٣)3r^B ՄUXZyވ)!X+# |(XaL6]R?7=!w?WWٷHa_Mf(杫.RSWe \ߨlc$7ٛ^!ƕz*A-b†uRiV rʤqWN`K/ȶX #hLfŠӶ{,b|.<̐E҆(8qjJ j(}8)L91<#@CD ;~. 8V}83Sx<`J˘ȹj "^FcDN"}6m!͡QIW?&$G+& jBӿ1BE_q++ÜsFhJK ]8#x$\j:6$ߘr@L!k+NWY=",0vDdD8XV'u;"i{Lnd|aXg+ 3j˧kRFc܄c9Կd֎jo:Iz2<7bD&-§|` sRއh˔4\6FH8Sh5<+=i1FZV~Yi<fyvxe(ăSL"c/9ߙQ7SDnY,>H(Y%EBFƲeAv?orrE;3xTl!S֋֝wHc5e2) q^sn}X$7ƷAo@uD,~wM `=ƻ̾E  "!)CecxCT{HMut͟Xڏt#|?>ug5oN`8"܀ܜ凲s4%p3D};Hq Z}#sA)w8`չ^ mq>4t&;F-yxn*޻:_ Gm}p=c!ԿB ^_]OO:WU I/d$Wܫz[Xkg$:%1n;6R:1lVV}v+&^=yFW,\͙fLXqVA]w.z\75`V. YSȟ򾉌^ǔZ *Hջš%">?< 6;lr<ִJ='NL ijC4Z$f٧ +i)Tn"E+@!!N…͜c0˫~4C`R08Kra E{c+X{m31Wؗ@&IR] {Ę3H^1eHɽ-ңk6M_sҒ(*1.B+6qD0x9bGvM )&PQ1ӰPcZ3@a´{t5yə1[ VI.pehx"rݗXW2\=BP(h9*jabBSsE#ha,3yP5o]a*e=],.S 0j dy]<SK Z tX0 |ӈq(xPaEy唪1(Q1 F.w1ŴkGuU6im+l]Ґsd=h_["XKгnB"IqKiD U|dWteHD-&n2;conSxucRq_uӖ(4N9FGC: 1~eV:QЅ҇˃jrM)u0'ZETB Shar kRiSK1QTEF)r_*KsĂ$y̑1&+j݆Ehoir,/*CrxL yDz&dQ2u#1-D\Ln?3*|HRD8cˠ)\B<ҝsEY K o,bgSє9,pܝNz/%y Ə4b>CW '=,Ac7c1KSChb)A )BUC, |RxaQ.* LYNAOiK'E;ȬAxN&cHZh5>7NӤ:>xS^z@jfWRWl2×8n,AzʁqGu1$p@tD26YԘ,D)csqGt J u)RCB5_fHrFpcKν4ޚ/6.@vD84g'Ff2ss(!#4yb4uL?Ŋ0J:} :z<]^:#J $f<̍NۣrgU7KU/UQ3OySciOж@%ka0-Qj,A& e:c;{+bR_.bJ\=.P:7<; [빽yD82MqFCn0׳J-Bg\́9-xq枃JTj =SU 99W.h(u؉[PJwKpfp&* ?>9II$OH),%&N,HH IdY?B@'H&znݏ6̕^.^PDY?7,N:%,q06;n1\iN'pȰAF >abV(tΨS=N7t1萿^ou>L֡m=fFx9=[%`Quˢٲ  -5ȚzT础LO4q}w&=r#>Eyv9iEsX ndhK3{/¼nt|3/˗NoeNRmFL郬]?9\B Ex\,8 `R-Wcٔ:T8<5煛WY$ mEu*qB%QVl+ZyOR۹e 1֟/M5>B qR( Yr_$@G71)71, >V=claSIwږ_ IJEKNOƽ|>(d&ef#20ϔ 1*J2ŧ})6&6_1lѥWRX#XQmQ"E̤!ԩ<_q/i9O%t%9o!~z޲mmHj+Q۳juX!SSdʬÈ|fO|=b`8*ZVԢVIY?2S8e|I' .;Ez{ͮWǡ𲷕ߊhP皿lBʶᮏaҶ@S4Zn6DQi;)-i}61fmÄo T7#6K?](pm!sUBa(Q#'(Ћxh\aRkӔiȈVzmĻ]ChVbNM7 2B O~>:t+fKxo'-kDiA%Mɨb(JZu&˳~28VFe;(2RP늑eܱY-%3ȸ DuQA](ro Z#Nd4fxu vy!(eºy^qŵgX$XwHS+f|˔s]IXX`XF &ig\>3ՐQ($fQ>2wPZ`ܩ:2JЅ`P6¬_aF I!Q9eiF@Y#T00K~5%4iIѼ 3yzZ%5FUBqBݝ#q:-i1S01=Q/ǵFÀ+:⥼swMtij-l-mh<#|?Qm3$Nőd,,uHO?d%7ΤWƾ,Ł9R)X7U(,3 N sN䓩Zs `3&s?x3}?oE71@ !Q 0( NL?!h; !" F1c1cA4CXM6c&;Y"Kj5ciG"o۪8) J5*ozs|p4J8N٠Jz`.7Beh껴7])g^)@je^x"?deK-|u> LvmMbqPL3);m}YH;k!إ+Lޢ5. zY&a9 Kg X 9 ASw(c%$7mFX΂"+Q)tnf^ XPE@T5dsy.gqM61MŁ wZ{rF#ytӚUL' u_6ۗ4'5POEȿ!F #11 b 0BBV1LV1X0Tll80u1n !g#`c8A`b)nۊ2 "F: icy,iNc4fqlݰ `!v4 <~=9O1#?oH`+RLs ={"ˡZ8񗵱Jkxgq+CsC'_>f׹4 RX_fI/uoQ%:. vx_qd(&:H8?.GyX-YsiL&ĸ+:(>wa_ٞ^|cn[ŕ`| khc٫fJI.KA$Qjl˩S˪1gR+5"XCd`֗߶N22m g78]^K=H(^_!<̓~ڎy(<^30ƞ0 1ȲŠ*SOT3pG ŋl rPTJi iGim);8BP47Bb ߴ6)M~Wh qX%gPV7CWe ~I,afI+?gsR~fsB`qN705$Mcn`?323>(FƓ΅hF'G0}d/Fhmx#:K#xWݼbv,c[rΆ31H2rJg H 56>I0*nZFu="a١ovOG8mϖjs@gq9܏]tR:\2UclVۛݩoPk[<3?)[+4vN٩$߁I S9% 8Y>0ӏ⾫0t][ Km/U㑯3˦S"(n=F70:ʿ{}F< U ɧ(%y'=hTק2/֪Ւ#BkS7ԵHт4٦2s͔3=ߎ9яa ^(eOohs$ "3DTuLs4".4}bcmnW_誸Yǵ=ưs? OATU0r}m'F$a;'LԒC6O̦[{Ud52t0ncP?"}Afz ?okj}hjXXt``jl'.-M|n@// 𼇔BUIf[""߫,[o0%(0M5ȕLq1U_B 5 V q\3K7r\֗Gg"TNu2#MyNil@|M%tg_PɌ|UD\eI)GLLg7yhuy^Yf*e y, D*)فN-EݽWY[<2z9I>-g̠1V3Uu0L0E<.#HqVЦJ+=!"vح JhWHPB}|S!h0v_SӟW_8#dg2i3#-丯$Q3y*҄xɗ'Mup'#D7G*C<,^"XDbIS v2}%7"",x<)Ym_5X0{3G1>tOۣ=$;nI5+i&7Dg۝Vìdq?ر)Clϙ Xs͙u)sBS,QXYR~X)ЭSۨQ"3Ȩ‘2qJ5%\EO"LDB ZrBZo&$QM`*B[tmba2Odj!;dBM !dS#sNnA,笺j,,a+$[fd߈7BJK9P‚zUNI89ɰ 3rǢ'GuZ(V#&TNOʳ/ܧ^g8O4S,C:hlPKI*#_3Cd4;j.Ȣf~;;әߨy{ 74Vy~SgAv wgl  i0c i0Ee-ffVˈ;+hj9xOG[>FXO'J$ ,݌+ĥMD(T5g|<C. <9=Xx=A-I9p>ۘD4BƗl &ʜB?֙}P6T] vF}4*E NW!^8⾎;F9Α[bC(?ٖcViŃ~rKψxDci*9ڞA&G8a0QuAe1{ Ӱ@֜\#V&1SyisvV,6FXV7ySj t%Jevzh'Ğe5v~B0yÝ{G]cX:*ksc6EC#fspiAgG.}z8SS->uxU>>5\ }m܆_Q1O(9"WbTP .L _:|rg7@ߗ8"B?B43I \/nVE\{2Gs7bfM //SW"(8AXzNr\<3pw":=<6ePq0meGo iFq5n`EA8UzqFRYƒ[4d3Xm6H^T:㡡%@G)dV"%ÈC):lhX,?i]|j-D 98Q!HN91`@0ʗg*3em;n)Gܠ.pI',{185a3%x5 OutLbnɋ24D%7=ՅiWQy<}ItvK .;Z Ca8 P+"Q|ar詩W-~'Cj7P*ͲsDT]<D-(}0g=:k? ࢟oiH5Xm0'?e}3c?{rOc.A9%$w&Vq&cJ>1Lu$lŧlĈ/W[m"\m̔H;RcKGT՜`XBHJ&dT3U볢"yՉ) *($PYt_`ij?+lx, ƚ)]b6QOQu@#|>T]*fh "ܷIBHu5#)|,UmϠI 3^LLt%"DDQAW Mi(ۡ~Nnm}q:跄ltϦ\d9aOwP R493'Tْ%ȉ$>L '$sqdwo5s.3Ўj_Yg3W%4=+/M<(#Tm̨I\VOq  A3|%p24Ƙf܊C1B V1؅0i6l1 BiZi0h`4Liii 4ٍlcai=chB0ci qb% ͛1D"Lc1 V4Ƙ B 1.bFr6l1ƚ1^Av/ÜEzg6DrQ>ю>IU@.Gr0J귘u_ඏ謾Y Ǒ5wBkIlw9~uF3'zp+͵ʩ^Ǭ'B|ELEy:wZ6Tvp}i"t sx-㑉#@vy$x#_3 o5^=tYoYgw\&K0JS44ȖPGGdnUyjO#ԷcD|]M3sFlpJ ɧqكHF7bc4"F"F1ƚ4 0DEHF4Ƙ: ,i0c11138>liSf4x'q>!39E2:f!i mA"`)P~ð I.MgfQ9@MT ik=f,\GJ9K l/Eɟ$qc'<+?"):_t[+~ KdZ&(FzId0j#\MGxBVAUͦ*/'ԼQI 2 Ѯ-CZTGGa<- cn4MQ"t BPh*V[3BߎY#6CV(ȡANbyƐ;15w%oCb2O&MX4J<#TlIЇ<0ƽ(r7)$Zcp"G( &.?!J׸Y4M?N_hsc2BY&nUcq * .4O'? zcwʧZe>A,_$/9$O0ZYiX1ASX7z YYhsvp81%m'gySd|T+p=Zxd?^>o1{ؚzcasnf͛!g1 `4 nLc1 hCBll٧-4!f4îpphic͛ C7cL17cC91LicLi 41f13el1#M0cqW+fZi-lcN i`٤(nl٧3vpn4)8d<;]66强Q"Jn+zCYēMИŋW/d)(=e ,[~zaV<3dTL0Š5Pӡ<緼?24A|/DiY-DqlГq3ݸ/D>Jк$F ̉.o:'.C#?O-K]dul4B PM2}9U搣\K68u"j0x{RB"$≃+c ٌ>؟sZiyðK(u6WE9̯ :- 1i>u0ƚٍ10B00Ǻ;m+bƛn,݈@pc3nhŰݡݻM6ihcg1f 1iȭ 0cL?s#19:ۍ1]LtX C#0lŰ݃LcM846lhl 81v1f٦͘Ƙi#M8M9͛7`l9[4ݡ016cw#x盐mY1ʆV9΋f0cBclݦƘ퐳4pi 1l1cM! 6l46cCٳa1Ƙf6B+Lu 7cf701i [C/Zaʎm1CDkGtty 6D0eq74”u<c_܉7_>3+;dh!(j%cn4$ʎENlƟl`oЕ#Slu!ma&l bYU!gۿ\ KaguJ@.oU(7iDBSҞQV^3J)<7B]kXOq!7h3*8t>RУH {S"MLXB|&6 _VECA*BFCm!? Ah$J.[Kji>uȒW"g4sy ">s%`/Bv|4z)}.C j}휡R. g/ew2B(%caƚٍ40`1)͹ #˴ 1)`0`C1F1G3f!w`0cc81l݌`h`0l20h`hC|,dcg#9\Z47bC8 nf͚wfG_29F!Vi9F1@Ӑ0cNQac?7^eCs9p.P] "M)e;{ ޤw8y7߰}^5Rr/ǰK]@E Oͦ)x[TX츊p@CFd0\hgɸt>Rh.lnSpSg9~2(љ#Q9:@B5ZP*u̦m͠BɱR*17cG&bq6D&u.3{sju.G?xq?F(Cz(qz?wMbZS*`@EQ@G C9(@O*oWBFF0RbOd *64Q&2XB+~Yf"GSc3Yqw!3FP1A0Zu#bs v. 2T2`1َ.-?rCO\W%Vm j8yYl%v "y 9rKy^e[̲~2AD$/M|TxiǠ| H!ӈ~@J:18$Al`R/"I0& qiFAݚӊkC4ys"/gXe5n27$Wu&XTRu>wMABc(ݮ1fF 0X1W x^О16'+H1Yn~ \bΣ4ͷհT]G%^UFLL1AСGs0&>AS5^98br)BΞCś81c7LBxYn czLuq25ÒVudڛ,[iә 8e|גwyA̼ Hl0kvsԡM^[*-(9$tA;nT\D\:*8W‘MbHJZL$D_.Lٙ*#H f0pE|÷& :t^7 P4%G[|DH VQE ;'?NbNpH#}Yeۓ(k7&4vV}i|OR$Zxl7~e AٓT矡*Hr,HeAlŘN@sͦjd*T `qk}Z[WkGO,qp4рIr!ݭ/dlj,( F-#]']emʪ2FFOQW2٠25BH!xKNEp~'i gru IE`14&v˷J5ptlEn˜Ad.S_R< p|ˇR뙻? A#6qE)蟲;';A>}eȳw(gsJbdٯ4-v?ơl{D4/*%¼W_^'~f-ζ:|. qo+uoo֖yA/j.aG& y?T$x%q).sU[xC1aqψ(<6_[oqaL2ÇoteR~ɤ ϲ.JjrdR~eW/1*e91.J4.mO%osN+!AT.((lT6lWJX 1(e<2l 9jH<fU,K bj.FhEb`c2#@)L9Us&򃓑Ƽ֣97p7{>Y$r(fI=4ӊ yMz" |w>̔6yUC8=ܖ=(Ry La"jq$N"O 8C^c6_Rʢ+iMI>-Ю\LyGmYU[)se ޜ?^ 4 >s?Zr2\Zah|B.ERCQőj\GbڊDm8EX:>iv.w0N%q}<˝҄X0߱,DQK#V|2J(~ilEΗCFgFwwBnl}K3\"~4(b6Zqxe} {I.x.,'Igq6\EF1nY%FG3 Q]H+x $YiK3Tk^MG(Sg(Z %ܙ3I={ !m&Bŗ7"@nٔ?~PujDD!NB#cIb&^6M\5ؕ~1,i$3Gs6PGsqSQ֖gx;W\?_aES bᷔ+t{5Rԇ"(z. RڟcᏉ< Z*3Izd!!H6 9X̔dbj=ܜ:&~V&%Re~dkTdG9^̼jQv_I7R6<Ʌ6se<+9("" ^;ĩ(k2NƛB_MystЛb?tȊ#A]NFGb?TmÜ*`~å/?|"[Ө{e1-$:rG{~(OrĤT+2(yU`X$J"B7c|nU _NS7c:Q1bʙjBYvC0'jnA!Q8rj8Ke(az>iS^[06ux)t/lDlϥ|۸YtM vső߾%O0vF")ԓ縨3Fc:х& .J$_]_Y1YPc߁p5mJigP>ğƝi)LVNy%,Ǔ#sI;nY4E;8kYbpUm+)\5؀Mُ/~,  GtЋ ˑ/&5>lpe.Q1g:@إg_>hP^--xBQ:kF%cٴC'xV<ɗdRqLpL!T=! f,VN?(D%0>f2|k܉ϋdJSlcɭ7i s>INl3_*a\%@Al\%ϱ'oK?Gƈ&ԗ?]BOzt9kDS9,~ 8d ( [s?X)A '+ duNH8Ҭ]&:BGQCl-(w"V?xQţycFPxTlb7yP"}ǜLɜd( _gӐ.GÂ-;怆 bTעx~XS.NA7P eLPyϼeFI  B#ڏ<{#i|_Uދ.zuseo8M9OiKu4ФL?a0fXOqL+MG$u{V>.^Dn<2ۓ駝Jc iD;q*lR3 c0+l'ţq>;JŶoIrQAp!FIr^OQL.FV߲ $0j~˻?۫(XUjGQ lzQ%uv?c۸t1`9AEB~v5a^t/*C]MIy[L;nxQCB $N֖e,UCy>=BdN*rt 8H%E>Q >%=L\6fmGU({ObQ.(ϚZRf?3؝3@^֞ER?7&4|H|9g zn♏_X#H3R~_<_ԉ'Opmm z "D^Tvӟ ٘Dҏ[? u0q5!* ә3$-n9)P4}\"q.e˺>*P4-o҉O[urHE=)һY+=f`ſnE1)C-r'l igΣb}ã(:fadEȦn4AG˽gǹ?i ~_"n&W¤?_jr3G_&Kn9)ZXkmnn'}Ae}M? ُMNjf åVd3y! ll:r(|-'Sa9/ PҢ39rRQOMLc{=ϠU`g6>:;L0QuCgzF-N۞CܖzN1o? ^v#ST&[(7wh`ņ٭F)<?E:!O$ 3` *J[񵶑'߭XOoNTS^Wy40'f97T:@M*S]]SKOzEycSJkm쎩L&U"oc 7~Yؠs[őDv1 yFgFZ^&3+ em+g l!KN3^Ko\Q7wbI還gcNjm3>я՚2n:\&B? ݐO _F *'ꔶ'$->}ZcތoCpdC#OI&A a,Myb,߳*Fr,U#utEHR˒K1-hkz|veQ _R]N15Nƹ>&pӮB'+ˤ_qa }NUf@bFێ\h-H[51>N9er`^CdjnCk6CXn93N22~8%Cbzn)crKخ b:FfYfTwOS"K v݁%~-.ׇ1LOX2&zpyG;i)2ijkJB R_~?F>B0&Fk;V gA6nջkf?} L?Ґ/ yt0tOiO&k*z6q&+\ 6ʏhn-1A>ngI"H:|5B=f"q0CB$H jhH_!{s㚞گp[u"Q(A{H0 dh¤ȔA@P}-lRRdǞ1&pz)x^ ' Kϗ3EGp-..M(`u9mG}dxXDT˿)FRdH//yG( F"QDǎ kZ1ʼnN*EM{w 9Ce(?cXvp֧š$ݭbs#FV/=IɃ#w>My)Gvd ٕYK4;xwcI$fg!д}ߍgʾ_1ۑ4"/˖7vxO[HÂvIc;;m fnVvf 1$"d+'`rfc=F؅ oFVEᶒ"-p Y q{'*GɨI$V dS0>ÚFr;+` (o /̡,k{}EЧI vx+CsҕY`:,ę'Mp4,,ac4s_˺J_G4,٪e4y-g;9&2X:KGrƹU4bo[ѼQL;b8pFH"pݠMRsx^\al #Y?2ܜ/ƌ4<)Rﶕ& L% zʷ@%]}smM3ՌMvM @G70'3F!<2G cT<D4 Lx C7'eO>nИQ/^& ȷ>{PTկmgm:!xyHbbFrXեsf'!ěyn) Gȸ>O8Kzw (22 xO0'r靓twFdpY[Tt$84@@Wю䜠Uڪ#`4? i 7MjK,"!q8KgLn( UT+>z쿟I#Me90#2DBLa?$!a_Dzczfp89Bv"߇8# I&D?ȴ.vW.6GM2i#-M2$2/n $zضkhɶIr4,:xnʊp֥p',[ :3xN 8IEn_yC6ѧIz7l. -`?' xh 0砅>$cO=q/Q&+랟4o7E'΃N)JZ)L*HZU}ۮ$SemLx縻+ZAOK_n|AuyO$; >2^2Ѹwbc3(EGTZ%LVtM(0RgS:.N i{sձBZ1΃h5o=$wU)$]8o97y+Z-cȪm.$Cp=bQp#~K]Wԗ=#2ڧ:ʛ+d)]ZTu 1赧3>̾4~i4G赲k7OQ}n3uyj[e&y3=6cz*z71}| kǀŻN#* VXU44pxXl>DݵhU=zNkf3(j پ7LldٸmBv<ƭ) (SmN+L9)zYGɄmVuՙzoyMެU5-:EOoԆex܅%`xc*o㱏9(=ot,]R=.Ubt7+}+CN4[0V5gXRjb6<MJ5LÎպjc6殪̱:; >659%|o:Pb$KZ42d[38N)ZiMMk]@9Bp kP)^A?[8Jk.;Zٍ,M̭ _'j뱛w5&6AeMQrv#eac;28%X4Y'.?vFW70)W2 ?aGͲ/WEvuK+oSg!Y~0ǝP6qzsR݃htuH?ݧ~dz6n225QN`bTǹr!2sDYD; w_:;ȣ{I6jkBuxG֎OA\qTE)zNlxK>1γF{tlxD릨]+}+?ޜm#;fu%ejч%pV^>iѯj_2L4YMczNjPC]zo$k<;”/C~Q]i*G|L`R(Q`Vtlt +-}.h9qx!_xYzoLڐ^~6#&/.]ՙH gߤ4V9>0},wP2ϜD1]*[L^*vc&zt3FT>k3J1יz&}f9ƅ%3Bfs ՝Z t+"۱' l N6Q%Nُ!xIHpO4j^0| 3ץ 'Jm }bW<- )FQ xa qi.^-`n|*aޟSvW ؼPr쟞Q7~eϕYDo߶fxK< ԥ"uœRLhv10 2NVޓLCyt}$xɃ]P7.#:vJdg[3"v'ldI6կ eRL]eYF{ڟ֚J))xx]qF恧Z7 C-gız*z^%hlm~1Ӎ>FcQc؞ĺ,S-'tgcc,:u`馾4<@%3Vz BJα0`0rv\G5 p &g>\ gHCL|rb]6ơh_ď0m]݂O{v=ڒquqp~5&Dr б?kVq,\Jj zz!9-8:3 ?E`dy?#D3gbg_*V-Hp0Dvp6zWAmߦԤ=GW gEkW25@Wjѡ2Va4_Jf^Dj}rOcӠj |+'o`n#+E51x`O8,;Ft:M4rҔIžW `/C'kr)OA4s6|s$t;n]lx-qwCEΌiKݢLnhq?QcmL9M7rƊeŌ()"T~w*B;X// Dz6hgatl{^)Tٲؽ?͐2yWg.8D_[]ţ5?OJ)jZyJqm"mfhdsλشkbWSys=3ԾsJ$x)Yyj|Ԋ]@lp2.Cc ޖ-!uB'"F {j^O=AhCEԕ$,zm?8'"39z w+a~uYacƌ)qz@Nl4_9!]!d(])D_JH0٬F7l8Vk(>#wX* vW}/-$. $a:x8;,?+v|1Qne C=} [p\_ ;%2c8S_´dz]VjYiw=iʝ>UhͫQ(oO9ׇܰ#z>ba]h&b~"1a /IQd](ŸNNoiavJJ-ݶve9.|Ea42ԏ5hzgۥɪ9f#X52ixGU?C!:cD7SRRa_(EyTԯxm.!.7$UH(R+{9}2u)~l4 %4Je1TdmǑ5eٍLGJ}Ѧ:fשܘ߽,`Ad P\^jasZ5n7STwvUxUS~&pjLG24YRGֿбzڮkb9>۷7(b :QH"߰ EL/ iM atQ^{նT/37ͥ1^ζ/!N qQ^MTg nE#ܭIYΜ_ lV\:}ܕq9o\%.1 Xs5qn7Y'vf0U"t>{? s~%DqL中6klƀiN#}ى,lrG88)<ܤ`՘-oj VMq#O3 2)?o0: ~s_6v~E5fӯ 3`%祓,xȒ{JͻߞގG\k ©cxҌvV~ap+?=Iq7[lyqQK5t#Yn=v/^R OĹNrTu9"ԆB>{:Z6o '`T05tqEyV֊P3*yz_Ж) eURX?uʆMxy6bDŹIL2Nd ؛f@y׀-dJk&s5E7no&tegjYƁeojn5ȅ]T 8mb^gPokXنܒҠ^XYה=sI ʝ3⻛|")+H.-rlP6Ҕ]lھ*\͑Dq nf O3D؏,y^mʯ3H+=lA 'Ϳ;tճsNRԷ?@.&l33ֽDg.dbaWډoeyk~8ž>_IR,cƮday{SϮwf|=_<=Ԇ b.c-㮒"e .>USS [;'-tN\E sﳴ%f{,%0}ZN)U&$5짍&GdJ"U`́4-bjMU%9!5sdELR6V>UWv4{$*8%R](bmzGŹ֧Ia"q߷:h!Az]/.Wj^C z'Ӛt~:Ccv,uZ qqJ}WDaͻE@_j3 Htcx:rcјF,g,υu>1P8S+k")O1Gbg3J!1>5嚁~ǕaM7}"\M$͗hy?$,vS+O^׋ Ӻǧ\d^B7X2`kj"sb1~^dwSOGyn!!QDW4hG&}~/輻bYMZoaxqIhuVc}Hp&fa;_.m)!5NXo{ `?QAsfbțKc8ޗ >yolIҩ!}w(/zHj {qi8IqG1׼y\_VekZ^Hڨ|{(?eTkX"%"38Z[J\gDҦM;!"zX9TB/:XudeOE9mH}5n&xBc\YE)K3]]lӾhMe>ϞlrV0)I%*i;HwMA mKx:Ӈg>>^ZܮZ\dt= LН *V#㽭cI@h|4_,!U]]$eo WSSgnp,RlY2u#xSj5d㭏,Y#K߳4y|N3;ƓkH:l%s!_3wQa`өbپ;ʧKl7o# : 85`Q6^\-墓7zԟI893޷;+N7Q'^C,c xR0t?F>51sMX2pˏÊSvgŠL"y )F$ Fw*PsdH\P}6M@һ6C>*ÎCߊ,k.h %zMv;KDfݞ_ |}ldlN)XZӓp0xĹ<k8fQ]pl5;ru|/ҌE).ԘJ2L'5-XہFޙyiWƈv0rcӻIG1;%9v>qXȑIw>bzC4#&_w3a m[ %Ϩp/?( BTM6EtZ$MhoEсB-ob=t<ɕޤ<Xzw+VgV8+' jw q qT>l׽fGޤ7Ͷ=~c̤y:~Ptò_?4LjJOmڽҎ+i}Mޕ|-d1bpo :+!T95/d]Ge؞ɺ, o|n/4f7 /_߯~kU_ҿ'iC//q,\3-u,X|lVTm?/ꏈvF]8)~C]qܱ-;vCc :=놞"}xƈaS @ t{V7w|!Out+Ok\b-V<4?m KSh)88|׎0*}n֍ifӸxl$8l讌蠭@mb'^S %guzʤa\).^Y_ ^yf&^JQqוl6j<~c1ti\]-Η 9/kx=% ۚ֜¯3x8(fj7g6δtQ;Gnz2ov|{ϭ UFreȌS]D@菷+l0F\$Lj8M*yDS{! %@S-#5W}K*eFw=X$q2u^Y^<7SZ7؈].Y}bU\xFɍ~צz~z.٤i6{oϷ DϜh6+^'Xm2ϫ O0 1p(#1:4 |ã`F1&޹Is͛ :,FBb:]m&T4UlBr KuF^l E21c2^yWeamݣM@/G }Wgϖ m禞7P$3#[9fX/LLdzLc mJ6&&ϻ7ّ$ ЎF`xDI5[Y#%vLhDzۇhCNO]n@V'+Gyu_l#kK5{cfMaAE5I6enkEoQ"m;4a3BSCG&/v $R3MDdTlv/ՏJG|M ƇͬLcR7-q*Ȏٯ24"Q eq)`Tֳ)O|U=Lsc) ӽmOLR^w(p2,]vrV7yq,׏7v\~ՎpE;]x[Y-Ĭ 32lWWsŕoU vQi :4cqFZ4#Yp)ɸ{t"Di}6zs['[u4x;ה2cc4.) <ٸQr E?/9^6C+:8( z؛p7bj~Ȭbhڟ6z)%AQwCWآmB{@ ?7Wܤjz%? EF&ѩ#IZ4is}wB|XicR8>?dRj 4Q 6op(rʏe :Ɯ h^N(}t[jtGT8թu ;,e![s=4$b!. .YG%ܺ S󥹟qIU'r=7>{ߚF?kaj>g[*3+pnOX/>/%9 .;*3jeXT3͗VUV@K ViQ2g`z12g<8c1jymoKuҽgXfsTtȮ4t[E0˕Ӿ|/ b) Y-igoWjuKgC݁E¿Ke‘ĩ3݅G S%鯇q`VRe9R+fK̗ܽV촕o{ (/2u*Uw}Bb^5oŝXNu悈 (At?\=`dG^'21*.ki8s9TS&|U6Zol幒pѶcB%)OrAYz_[֐yڧH>]#?r:`Q˘ƁO[kHd/: 0OU4Su3ӛ} b?.I N^m*p߸:)d[JrfCI}u":`Q=11CMZ;WEW>dZbF \P-1o5N({<<5+QDm(|L3v|~HW͹l%ŸXdZ5}~C rZ"OL\6%uZ/P`̯Sݹ9n$T6WZJ!zt͕`FOf6vuqr"FTX (~Q[ingf9Li`bjHg>u_{:B9?CduX=_Y,{^ÈYG-z$ג#MƛʇځH;9:v4DL*GYَ3ͪ5xls)>-hϗJf7 -(qu}w3MsL~@3Rw }f^ 17_R$fnF?6sTd|,7 t&ߊ*pn:]aW :Uq7Ϭ[)36}g+$5F#;dӵjkfp'lTҶV39M Xt>U26~&M8v! Kc܇u0L*";({rs2vAu4&HN[?rX6#!{&tdrpbmalC#K~?IDNolv_u6>aAx> ei#vVլl=(;tYuE?V5rhbx_d/j(1je jSd3~j<;67g VQN.Bw[}vƋGS| Nw nE-C HޠyVqQEBF?+U=j]5TyP7yʳYhzT3bΫ yRwK2=cV50˞_nasK{mj|$:BR/Պ^_Ζs}!Š-uA_ۇ1 J `]n5>Ez.f؁R/eoPlu8|if]ouOYszt(e9$ʊQCچqN *8EPȾSv[F#N?[݋ S# 6=sI6fH}Gpt]=}>B*t-0]T i2C{ )*REaz-W3HUuyiϑ<$$%5fr;Z=|GZWngc-tϴ6z":}w >0=gu!\m1N7OC}yްi{??i {JLU'}hGvd ۆ;\dg[%)Ͷ9%< Hjo\qgːYDgRb5'R盞 &s b{M~Y>7.{=~G8~Z"ldKD9󡨿or'쀏`2x}P[F25-fVf»*TW \視yVa<}\AL,V LRQRWowL\b}:6fދݞk<䤳m붉mg3b !: V7׬:Qr];J0͙_g9+|Uv_~" l̝)Wsޜ`CT0~N{IQg}W[a t&5?zO6gO=,ܨ4({=$+M*L7ܙ鯱+蹳q3'WhՍ fXV(|ޖ`TuL5K"Osc8bJV$(:6*gs$cA&r xcHeTgo#xZ\Ά yyzE[4,z4e2 iPj8ZAtEbm֩L'Bìҽ,"bp*$w!{.dxQ`{;w|{ϥ$m]ű+꫉mD&uxyn f4b"^tuO֘Qjc20+FK7{a'C/U01$>G y6q(j*VmOWRk%_D6eR2[r<'3_F?hn%lQ37<9{?#Uz~ݽĮӳѬ4ɔ8.ۣGByk]KTU_ZIHi.u[ʽծU+CQqnZ314|ȬV:_>"D _yVe%8w/she {P:hZ7# " n;t[N!WqL`GZwks[>jB!d)7B=%_A .ކ}irG3Bd ~#\3QS&㊣6mc%0տ;Z[w>ș5<PHv{i)ݴruvI-Ȧ џ-RH<̕*~9d&}p:M ?FKh33E]hBڷ#-4y8̼D`OP,_z*^s䊴SDsK))دSگ3)^ұ,Šgswwuחc )%'>{ e`ՙuѯeS`֊- ̓ANaq0ͷb(1QfV[}/%m&Q1sUKxDJ]!9n'6-nKFr!exTI5T)uͷG!r$.EHpcU\#_VgM ֯L#ҴXvmg;y0>bX29'L5$?h$z雾VkW0d[{aȆjX' S\eV&!ZLq`>n368GLy~/i.uR.1p.L ۅ[Uȃg-q<%/QvݼqRXxzݜQq ,G$_l٤%P{yUyzFlwlen;"`YNdE=~7Z(ď;d`!6~Υq&,Xe 5\" PrUAx@iRDJRJ8'b 1BI$$dkASUZH5f{c'&p N<*,fcU^{AYDh}扜]FG&p)U:cI+kg(r8fWo&dS7?ȣHxZ5wwq59y םY-c:vgy{]%\lφc F̠{o i 4Rhw(j6v0IDAڐ14% :] g0hc^'cmӧ5=GǕ5کU$ }A*ZThb3U^ tTUDXYQ\mV8ѳ4B'6uK50\,$8A&t8~^!4j/7g[씉txf)lG~3~[4 @4L;'34Ɉw콗1aSwzɷ^:᳏\f!j]sRdlSINo䨌I-OmiN#tR!swmciY*:l#6ݛx J:ϙiu%D?CwC<SJ|?ʒ{ #_n߾w|FC~,?OA>;84ř&T=-%}=F%qfZ nM=sVfE-{^=-|ek۵| qhDl1A}NN=#hiȮն EO.GԼ-gx jfv­ź}a;yxbLw@_jCi*ŁS[Dg2l5,;^erL~5EQۊo<;V.\u]0%q@~IA&Jd0bI<$Hxڣ4p]=Tf\=:N摩zMɽҥ1U/dQT̗ ֵir,t7.CKVuh<]' đd, 32dULy4t„8s1<]p'>r,3X|)=xm2ɾ5*h7lcmPh(|җ#2kkᱫ;kL0f xHU|_jLIJ)s;o ^9d]Ҕ5ObEᣭ.榭MAGVnFa00MSU&\貖O!l_gs=y1-̠ ej"N?=L3eKOـP~Cy,d߳UqHU&Ev[}֬ qO4eq*Kh*z-rd%U'cnW)3G 0*c[_i%x2Э,wTuC`#qAOh{NM*Og2:xDukYޢнt.+HK.޸,j3 T *BBI!iRI*UjObIa:i[9]{x&p%Aatj3+ c7[h^=7]t63bYQϮۭ"t9g4DPWa>$>L{x^R?w^_V7&&3c"yU6,lD t w5<Yf]q۟Ց)PyJ$4B/H~L.XMvp=Jg©;ZNu>rda412 #w 2(̘rbc8#_.8`G΋N]0t n'8P' VܠnHb&a̯J{O0^YE˙ ;AQh;+e/ii|=(X'T/#}iO Q, K)$jҍ{cKa3Bb\-Lxt;T]Z3 wv}a1T]yJإ288.n!#!CM0VeQ=k'tP&{3Q.nY^~>kYgE </+տe̜V8 ]Q Z<ĢLC%Pd*Uyyku<·e_ Hr4 b:F17w|& IvS|̐ɶ!?K6,<'{ql~4d)-@\f$ܷj,oSJPEMn:}Ck*#0{Ȟz(T⋉|"|0gۋ@v;~4~:bBܥ# 琂,<͇ڸwI-#zM>˙3>1grR;9-aK6t&9TCt8f<HY|8] =a/3dMos:`)`مb#B"t@#PP6oj~˚n_=o'. h &v" Pȝ#Vlχ'C}2e#7f $os{=yK>x7#ZH(UCgrhR׼)K/p?Gx9A-۩M!;K^Ԓ\4gF[('2ڌ.0{f? uLxs/-FJ3o_8?%ϢѰ쓚] I,G/L|e]Thv"| No̬֌f>TJq9sߏld#>Ys 47{,i?_X;O!ŁkP984DCD>|R"t;bv2o=XC*b f(Hs[e7񉀥8lG8':b3L!4#;nGtO3Z4MOE&2ULe>џ<2AVdljmfIq\+hFV(D@^@B}ÝΩMmV#2xz>|W){\Gfl <]<(3&KMF{a>ԍiڠ霳 l%-*<V-Φdig̸_O+$ImL9:c+S=? ;k:_DϝNԖAJ-0c SBL"BmgvNX]Awܝ\8 dk%lq?X*DSPq>q^5FU`ğYJdCP)v<0*īwF.-!  A dP0wT:#)1FR0{~˲thQ;$Ĺ4pH]bO(|Fy(#$kOd݌Gv T|y3ܒK3M RFGRG">^y g i=I=;VNVXs69(A*<|0Qy{=&ay»nuC?Vi8(I(]QTWD3G?TKtyՉFv1S׵-6sv ԅG;9ԄR|eȵz{(Y\~$[z \*E3G{=#$?;\Q&Czg2ax.9G lI`y+H|=-ʿ+}QH@KH>#~=FI_"N}X(iY2$ 8aDv`&7KJA^#3ǫΒ_g}s~9+޸2u; \ˌ*CCaivCZHjOMގ8D3z50*C 7*_dHB"30ePZ.7l.:8|AE(}XͱZDV)Y^SQ R/kH1zҭ+7w\_hyw6eiB2TfШY:e^2}@q ][ \S*d-DXBIulՐGG1pu`!%b4gT9SR"+2bF 'I85cI+ {*˰u<8nJפKߌR"'9~ BG8:-s+I<@钎1h(hT53mx} 1<=aߖ=Un#74#iJsd)$J­Z W-!+01c{g$[4]葶x|?"z{ GFFY&3e0iTgPΔv(ͤx9Ezs/y귅ׄD҅.dz5HI{Oy S>M$Jdr9kwapm8^{* ;ɇiа?eÈSӷv}Ak z"WeJ9ffiLU913U,S5uɤ&&kp R'AGfNgR;@V&%\;=$i'_Ikmjm1¤_ԆVϧ>P'O|ehsU^Z@gߒV"H9Bj}t*4Wa$;GOH'ujvL@==Ò֡Fq@U n SSZ56S^56%Ů7J6g@4M=3,J򌈊aA'wKpӣKuErbtrΩDP%1M5M 1_rgp! -*z9m&K=H0eG21}=ۯy]};MTa!$_ X>EԊbtQ6_̟B=#Ѿٜ5|El6xF25'~jaY,c_s)>ͯXYt/$'ɵ&AtOVnsy.&qX.tPܑ,bZ|TiǤD-`ج}e.Yb0CW}at=;CvuuX!X|kOND|S\^Z/I -lX;#;0$l:'\^  sxpҋ>l2M ݳ:scޞǝ*~NAq5QY;|L\bY3+rEm>O8K uV;\?klwЯe虖[b9u\@Lh(۞C;kGws[u0ز IWb>'F;o-JWn%u]a̩5^IBD(iRih3ez^yΡ013_,u=}U [ld]قӉxr)dGWm>ҝRbm*L=w{ML% ;Gϑ1YV cJ p=GM4$r20plg >e|C*D!4ΓHcuBC [Lzwun[ Bd~vba82J"׺P0F8M{})=foyWp`fNɎ5rYaN֫sYxN`X`f5dxtI q;0s5&ŎusvUQa=U&I)_=9{xs]bX>|jPM8#$??"%&Nyߐ3O&YLɜ:C>飕g@kQMo壬DwшYd9)t&)h4cA0Pߗ=bt;n(puuN1ƜىFkPud6O #GM%$C똌T"n**̣p- w+4ُjfIiR{=_g(Fo1:%UVdіd`ly4̻dN/]YU~iOQ#d=r.b(]xddGzCmp)0m]݉-̩/L1>QR>!5c6vKy R~sPoխ` x $,Q*,#4_ؓ[3 Ɍ82p3<h?-e[G/{㱗y2s*R /(e \9֔;-$:#@oEOtk5i%3{ҶK; kZmC΢I/0:̡ޝ.@dA՛GvOzI6]a\p*#곤ư r)YlLe^1oJhj==F8ЖC`09"- cS~}Ys9nYgoUPoG0#%sNwNBGVxPĕB [S#u޳q(AdRcOJ"83WH*L@r>g q8Nǝ/,E>hlHrfP:糄1Coρ1L$+D]K"C^=$I|o ƺBl9&d{%{9 :3n8FMCw"sSCؘbu7:Jj[-xc?d1rP$)#9}k*2C_AhA:%gԛ;*zĕ4S.Jޣ&a;ERY;WQj?6-otד30^2'2(8U H80>اvC^,$GhyW'jfi+v_D,jH|cz9$ 'N)?"eOxN?g'ZdMY4;3v>x u`&h1xIc{%mo6~ryKjnI|S"sAh;MR5MOL6mi9x[wKخrȪnqֈM b;|/tx/Df+I;.x{ 9hpcERe7~lwBfKH[;b\Őx3Eh ! *gT9(Z{d O2h9Qfg(f|l#Ya: hivo] yQ3ؽ;`U))X0spr ufjK\W[w3JSOUeObs_ytZ6xʝG==>Kwe[- zҦ_\\>iI=W8hr.פqqQu鮎4 agln|'Ϡށ9IL'@kTs*$@SSE1T0k 3e6-~E\_9./j YD&T9!=Ǚt mR( B~bã%' .hfKR>R:c:c]\Nk,lo>kMA58x YbKfs`_ >"5~CB,Z }BLx9B8Lơd\\1\Q~!Ϩ0]81SnWmQ律_*ڼO gI`Zt\ DW\enJ} <Sb(B `CV¨ϟ(?sM:{=|M^r_8L[t݅IyBi" D}!33'\&hq6Db/+TG,]Y*2k60\LԹϘD<vD;3yDˤ`0DȨM!UhU6kh0LιzlҎ~%+]q {v0LA3h#|s~]DA@Dwg7É-EuSbY2ҭ 5R6ҭN*Y< smQ܅-WKr}wʽ$h8yFծjVjlӟ[nIҙ{6 e0XbΑEcfV7DEh{{cV9`^BQ})uгlnJc4&QbBB6ئv'\8$l&Oië)ة;gTԚVڍ/};HSN|C`,Y9pk/VCWH飽$R<+dјdo]p-D"I{b*~;"^cB$c"PF6RFP>r@vt>Tϥ^|kRf[˃^oe+-zQBJ8wB_kF2B8" [6xIV]\N> &:g-)_J̣yLE5"4 e\NwFNtMFر9rTO:>bU&4,O˜`ᄓNd\p4Q@~iQSW/um_>KҎ+{nT51yܙ4|(;Ff+Һt>*O_¨xye{ȭApvA~)&҂?89bgxk3}ػaVZ>̎Ñhi[Zɢ'S,G" 8_=Yq&lũjjbsZ< ΓPTA{*ϫ avY.^Y26֍$(8U$y?\V ,]??,b4 \]Ҋ$ytS႟:?"C#`]=ڞbgj(~'16G-ƕoid| lេk*{8^m 1^ggO| "3ՙSyi=-[g=;K 8ꠣM6#8?K&*ОpF᳾.Zs*~# 8uɡiP$LהcͿ4pOnG>x*qbc4FNr 3A1&7>&ؗP").)+"ٙ-Koi6X gQҔCv IΜ2'-q:׎-0ǯF c1K%bK9 1X4R.eL9L1DTeͤ޳R=<L]:ݹh-Se"H?sM1!8˯K֊j"tpA_lqX' зD(YKLGXգk.Ḡo؟ƹUJKc(Ԇ3̳"ak#*V,.ˎ}IS4? "ܼ,T@zK^ݎFMN*@1ΰq0D0eSC:[%`-LԍnnFj#[vd񽨛 Asƶđď[ziNi1D.-ZUWΑ.v藩摽{#ʑjڼ+p(i a9 .tb%܎.l! -1&$V ^aaҠUSˊi7 ̎=հ D.;?q4n}td 6)U?#^* ZķO&YLTЯZYhU;u7MJFlw pDŽ2E\yEn0gȲ7Z~ۑ6n ҈ QLaP@6Id32#lx3 xnGOQ18?_e<%NDSmGӻۣ8q sd=s;F޽߻Z8GS s<ѯ"LWQ20k\صn'`(7G ,eir䘍@/IGRӺ~$6&(:z+ObN]wS^X<i 6p >溰Ӳ&xN7#+/1ibw A QB'e_A#7]9Hj.E,r8=259̇u<+?esj;/P>s9)]Pq[@ߝ4fܞx j*Ӗ:gJf toQ:%'F:R\J%w*E(mn7ؗ ‭,aX7BM,jBJLWh"/,MhОV%d|iJ*V%76 j'I9s'?#J$g$,pcUsI޲J*9o5WQx-y/i,IPlY\xxsh𽖣jOZyD`1Xmr8br82`]_#m^sWXkvh}%e'b 0>Uy(^"|[+kzi ٶ@\ߣ 춳أ?x1-@q#HˡI;zca\o6mFP\/cj_O]HtBPb$(hyɐ]2#s9:[hAeAq7BFnIi2,4Kve6! Ü$jIq5LxF#G骊2;?L, j~W0p;.&hz Lǟ%="b")rm$Aޣ3=D/o/ CkrJ Kdv9\wWCmDATdcr':-_cVIcN sD_.j¡CLWLH͟be*(}yV+U*,v6 P5,mCy# A#>Z#jT1f/nu򝭴"Vc@jd2Nm. T;7I/}d_r.ܟ[*]'o @iP.Am=$yxN{]pS@ `!qWvHk ^FX/\ow;Tϟ+R[%b0ݪ||(hȴ։`TFV?73ضd L(AGs(6v;Ul4sH! 6lEZќ5D # (- &OOvu_ɗ(xY,dмOдdd }\H5fsYb'@1 i K@l9 FT0œ',h_k|CNwDS;$1i*S:z/ׇKj+Ls諒/^?hXlUqc|ӗ3v6z@ʝơts?$sƃ1ΰRxűCe>Be! <'yT+P!Bѧq`2[ yzb 3ܰ]q-,ˆvB-yO)>~:ǟyO3s#6EõXQ#~ +N6V݀I4 0*c'GZ&hՍt=a t*:%9̒,:Cb(z4(Wo(k;TyP^:[|Untdgu?,h-MRTN7֩dBdr(cW2<}r5P42&5y?[#Mqm?eUpsXtL@fjCix ~$G`2YXbDLN{hmIBv0.9 !y^c$SKc轥+QXUML~%®LnK\տdj_J)F <ܱJQdۚZu@Ϋj]p~ˎ>"LVfϐQMݣH#mD&!rS1jW ÌtsFtSQG2<_^mJqI KY368 Oɩ;98۝>kfw]M!>g3 >n@hGc7 _42i"<~ijKe7^ܣ:/J-Kxm^7/خUX2϶d57~@4ͧVHQ7VΚoa~įf/}XTLbSYIJ8Ꞣp6c>I?'_ 1\{H;c;6*|'Q\W!6)Š}'_cV=(7)e-(@D +dh qZeYp{qtJ 4!S0㉍? +O2/5rqM׵{pSFiZjfJ<ف9@(aD@ (?oΑSSb k:Lmuܤ݄ŧ,o)D3/˺ݔܜ܏@2'Q3d)D`|MEaf?. tiݕ_fKP Rt!{VFcv([|nt.KWr^;e+_Vd)اD($"77Ozn9Jiä/O?I,ynu7[zsDu`Pe=NVOVk>Ҭi{8 U38a?df&@}ajQ %(bɲ:x4g^"{slށrpZק\'p/XWe=Ů~,);WczIv樇h}n1GT"~6ՕC)fss[SWk9)? k:XUV> 1NU^ʭ[DurRƤTz;8V6զ| t5&a:lR;kuw/ōjԒh_,flXٷ72o9Z6jѸ~•ⷮxH̿em㥮 -Ou&t%r#zjJ8Cyץ˻0%E6r3֛≯ϝ2zb<6-wUѪugdc{i'M:"DIצzx#g;* 2|:m/N;@xruL_״MY1%8[ė VF|š6ŹDOCCꃑvH5Dr)@8/L8CW/ t,s)@7aZŸ Up|˴^\ݩΫ%wR`Qwq) SS Wvfa:ęPV1mb2# tfHpS{hGNϔU })u_˦I77FEEN3:b򚉧L_S(k"l疐P^!wXEie;~>yVu 'o C>b!+dB80`=nEHD1l|_pO =!jK.`G#gcX-Өm=͹[R-Y0\ {XR/[e4r]A\)Uf_Պnر4ͯgҳ0>,ya<+lLX^ӛY&+jRQ1G'ʄjJDa9G0/01g'34NƬ%9:#Siϣy^0Mk_Mq8rjcA&[Զ)n=u-k,稯'65?z&phX/Ma-+k^Tuhw[[Vj4bK:;Q*0bn."]*cB<,1Sr{5Q{7WwibWWckNEcUI뚆'oNzw/d6L7uY]^|֕Ty+kS%:V7&Lv)v~GK8]Wa{jҬoX.W$%OWsH1|3XjJ%E(SD#vBD8+|lġM?&0U u€J\@Etn"xuYXY-a]X/&䜪K+XƮo:.Cپw=eYUEftܧn[벩t山L^Ӷ۵or_{!.l< T-:.CɎ?' CZkE%`k ۖM1rVEMԅTi&'de5(9[4PYq?zOU+h]8)zy?p^8[ԧ (Ȱ*p̯Z?U9HͣXQZ 2©#ΚORi[յ|i5ElRpഢ-hAFRi:eC?ŧ ݗjI$(̧ x=FEJ9UfMh'JDD  ˥إ#kKQі/lQ:MBܻ&ޭgQ;)l < ٨7ysӅB]L~=gdmoI?FY:e*q^%zl"kf-;o`nc ,-?'ߊuMUa~ڝKP]t}9ww3f,=C-L~L!y& `@Y^N&XX6w$Y&CyaHz"h'9PLsfE7KOұlIdVy71T7/LqBszA f?݇HX4.H;* B5 mRg⦔l$ gBxIbQ6hӎԨ- q")IjP8T0{*{x>EG9΂7\1i</&n6 @*l}g;BՐ>yieC5DW{A/q7!u s`As%m~^Y6UT_`dE_|M#dw)PR7VR;Tm3j[אErW\Wq?v%nJ2z8OSz̺v8P3P=MWN{ɣηyIsd.} /z =7Id*lWO@\_Ixʓǫi>֙6|+0gu|uMTk Er{ο`DW)cw3{xe|zĪoڔ)|jzSoAcWg9f~% J?D^% [v):g']5\gf[GrFz6nk5H) U# Xh(`(1}_6,xypKṏ-<7^3dK|JkLڦ-XQLj?D,KmR)nc2sbMS~?tU'娫*Qmrܪm׮7M[&<. '5̆{{ P#id2AiMr(/y , +Q7O}5ڜ00e`λ/&y}ͫ<۞k+TM9Č0.?&C !yQB z<qe:?>f@҆PWQ~{..WyMloizS^=`PLۜo8 q^:r`85Ey*r%!ZH"< H?|K#є1Tx1洿Cs_o'ރ3ZE1>@H@!JdI>mpSGp鏾C<6  $Z}3Q_)7*K:loS t䢕s%,KɕgAFgU9G,N"gAÚXx7pM9idRI" .qmP18\Z>^ 塅UGU{bZ[Cѩm 4piR,OzN$~,FkSiTV?_l E2t&4sfָvs̰clD*ElGnJhc|)CD|//S6WǰMb>8637ETGMv~(l$]xE}Xv1 Z>7&[Ĺdj)kulE#d2!M On\!A) ~G3D|- =ضK4z,ZUXQ ![*=xJ1((OBzܵ}a -LG߱!&ENc!'ƀGYXړ$8nTg'AkOAycO1?OQ+WBy,y!$s.K>DIUG5[8W+cNx(6m,OP }dԵ *J9(cF(XЏAT,hGvYNrd7!"Fi$uC~RC=K $0BUP 'H6CB@55 A wB1 2*At)RڌТOx/4/4|qP4UcE2 3DKBmuq{xT S) BzIᩡbC!HI ܵ&9BF} `[Rf atd~ aպ!gB DC) Q $2.7B /c Д;\SwA ( L>!HK6%U)V:?BaYxP 2HqAzri< ̤JAR&0O>Phޥ 2Jy{1cb8&i$A<=}+8Z|"6`%ƚ|At,A(iW)$.hXCTKy ӘaZM\JIFA0}c}vpwFR~ߜ|`nH8PA (^wAΠܒqzƊZAShN NAқ{Mx9$Fw@sCnT <k Jr^5c6"I$*~KwzNNy3'ɠʾ49'nM> NǬC([y8- RSt?P rC̢Q$8)bI4=h:j}=dU e!:'= 'dDZIQd!v84:<^(^Nt&E[H6kbܭikPTY?r& }S֦iS')ƹ\p]FIMَ[^h' k|ͳӄqUM~hZTa~,v21/UU'%SGǹL&jֱ3Ί3OVY4ewYv91J^=&SI:&׺ꨲ1~N9NaY'DL% _VR幑bμEc\%Ɉz/| ´9oenfēӬm;hرlc|mB+#Z@`T`x=5Vݔ3L2Z(MN_ӈ''-SZe&ՙg~Ibw-{Uڦ(oivq>Gix iwnr(5]freQ3i}-&<_7l b6׳=$gZ=ƓLк&O]v},ʢ lZ7 5ϵAmZ1 ȪXTEg1Oq;PiBQF|1u۸{l_{(;dѢJ"nɊy/uiU5mNinLШn<¡"iyJ\碴 #Oޣ\ܭKþ= ]j]I ZY{oڦ7I7=xISlDwu^`RvWǚMc615yosJ??Vbu꾗Q(4spITEYe{ꊸj ٬3KW}uUaO_ wUTlK̽E}J;huY+*ODT74MD B9cm}f>rH P!mB4A󂜠BI qj$.h( LqOp6t&d|W_&"zTpP3&ƖM3ғJM4Ith%%+ʦDL̟~gA] ~RH⫰.$VΟ2%ˎh ޅ&hHH0 $ )',0 B B!$ "$MirⰁwi1KAF!3@ VUX5SK(,AҝMs';ij&e.]`O,@!a"@ @(B@B [` (Qu*fɴKPOu0i't߽އ~ClyKIcթ?6yĚukY3mt0B@!B ÿ$@ :Y5:1&5X g O 7|5bF!p N_ $la g {sڢ&-wY ] ,wBOcN?Jt B @Z  B  zS=:Ӱ|\ɑ<"sRɼC~X|}#X' w G’%("'դB211oGdN='5MG~NޞK=S1OX@! !<R K?!8=&qFd nH"ЏKJsSp4작6~A8swM}:ÑO,ziŦ.Pp)ytS1SNէ,u8DOjd!H@ABM'N|L!^Bͱ[աCۡۡ>K!fOK!+/v"5yA,rP!.!j,sD<(Pw ?'QOž˼nûV/NO&қu|7c1<7&Y4Z3l= T#C*OZkPA{tL'm~lo&(yy#) ȇgE U\dLvTCP#,gX!7GaXU( 9BfYʓFŨYLBbR¸6øcS .f*sp9gѠhxlw/ rD/fytJcNYN4iN=' oGe \,n$ѿ/4 SQviѝNu\nH6xRHv?ǒfcoEAAgNMۛ&AXu| )W(Բm}9sջYr6zLM 8HYy%q ni'J| 6gh]YkCbsszt,d:hV*$b-^Bڇ([LrEE)ϧpH!kTAPI48+ ՚1EjFh,bd=M*v!Og&M>sȚp&n xt|lbA@x샊T>-*di>2yd뼦'̕ǟng (8xS'{`%. +zMRU l%Ӆ]@{!SՄ59 tGxLbni { DR~8tHyC*fKIDȞ; D!J\"(C|H)ղ@w k7GY[!?8uiTNt8)w@7N 57xi&#B|G7C k|~S89G3hО!a)JTK<$\-؉KI]&c'ٱHl[<ƀ΍9fݮϽ} |V6AuVf1V6[%$/>{/zsfU`ޒo٫p\ϹKr9.K8>[)rqm^Up8Y꘰/œZWwy.b]gTcl7 3h,/Meޒ='­1\`VݓT5pI=&c5u/y*iT61 \1k+_sdvuVY8mƵ]׺*:r>crԾe7e_ںߺM[Yԇ7Î!Ui/2M(8+B\7NZn̚~slih^K7KDŮM-|̓%b`9cXV_XF쥭ڒ·"5f^c6XW^sL_c CiuUN^˷̺+} X2 kև%S$c|-bM[i\ҟ<٭L;*N:ZfM"5)s6gն-ʺ& \_2X ˲tf2N+t ے"3 =M&m—;Ic$J³nb3"^hO (>lYz(ð>ycSYytVa|n+&wy+2izx'qiKs,X WeqygQ慖~ibTEWǔϼSp]w!z_HBKT'}T(;.Ufae:vTёS{v{J<1S^U/ A罖&y_G*/! knZIiv-aSþIٺeAX`%{,]m]5yyldm>3O+Ws&Y(/8aXgk}8#$=qL|gbhLٷjl̺qсf1x&==(W!mled`I5bejO6x#&4Zۓ'To)ܧs7CTiP^Ht3j9-VMSF :y9d,jR3!ؗBi4OF.;*PRbuSև R 9#triu-;C8 B&nA nj 44C H >coA oޑm`"__~:ׁyA/cڹwc:7吮SO/{cEpGhYhmz q`PXT)X3P!6^ >.u>פFoo܄) wRD75 )& $euNcc08nˬ-/OMK;(d]ANi*Qj'z`o!ơ^ ҈(LV n8}J(1!JUW$vl#r@3sFyZ Iy+D=R- =!fA@$ZE}Z,b "٨APcCC? R۱˳8#_ӬϐуS  "?Ql3i2d‰AYѕe:EVH` M XԥOfB[4w ibԁJv8q/I8d0O)Elc9q apUz[ L]%k<АFc5 ]0;PЃtyɧ.1r:h uQ3'%TgLZUSUƏYf-OTMg(n3:'޶#K</;#灃:$npzӕ7?sқSەgJN-HGLLNTxQfUCA39o~^L;GD?._6Y)S95|OJo. vs-ڍg5&~+N$uR6ձ]dW8Dym:$ڦfSSM3gbZ?' ߕjFBf%oz20S7T685jc&FmO >Dy>e=Vp {j$LY+bK(bJ:lr#nrͮ><(J&$G+88'GqFIJH2 T|C̃űc8WbAW_Z})uGGzJlI-$Vs,2ޮC"E#lI]jc:t[հ7gLo2X4tQyV 9+=0RxKeA`ØD5fe<)iQKu4IUB B7CZ!lE,kP/,U]8>S#[D3+DJ?)nV'0+ǢMLz--ql|ĝSn7pCo!-=ye#]1&xVjOцd5eͿX7.1"[/̌"kז?|Θ O`lI^?[aO Y' csAvYz*zFeo}K~0*]D,e?s?@ds3C')9b2-b JV@q^rEh@CQC 3#2iV1)L,4o|γ4Hi])뼦4PyAT)f`\14;U]y5vQK2+ݣRc_֏mKjNJۧ).޲-*6kb+E J{X6<W4"ߚS2L,FV)^T$făYx IVg03H^rs>%ApL BnH?">JгC9y6uւ#he7qHH/rVD{MbIy {-Jtl7%TB^ÃGA#PfI+ /,}C@z|)B[9YZS#2ؕK9n"EdT[K{W`-C|w6 aD HP>K3#$hk)FArś(&J y}mo= IVɭc#ϕrY[_m(8Wj´=As>:kxE Y{cCԖJ`9Ĩ˷6VJ ! ]p\gH Hk̙ۜoYqZ?~a@ g,Dd3#~v ]lKy\`U r+mF'mofD+7礩bFyW.7r X^LnfX٘6幄}2Bf2(:=૘ӎږvUUcdredwK?$ 0˷}gPXH;oFEMq<&`ζp^.`. C&Wa)'d9(q +/YE%Eއpeld6'OH^FI߯A~ٞN~JZW0ng;$S⌐U2HC|?,N._3\(zn+7T1",]Er]rU7W i䐸Q5o;&a}ヤ)om3}^9l0fțNPyP3l fP0$dN0i&U:e݄y1(. a0d&, GQT,d] ɘcxzٿB19o69'I +BD,ޚ ?f$Q4R0,clV̟:Ky7(S\ yC\iG\)͔2"(>*Cr{N􄓀֎OOR\b) Y4tn44!2Bjk( eO /$Pn:++'A7م+Ss[%L}!Hת Au=~η]ď ;Sv%/;cq Q7EHbsby#k~~12Ή~?^H$ O?<#h "fl2åeh-9mM5 d疅Mfٍ̟gѐJb?ĵdtϮEķϹɿN*I 5*r^񻑓9)f#Ӯ?1'ؘ^] J{LAs5F`X݊*u>OAX37FI@"Gi~eJ%2X[Ap/L>)vSk9+ՒڪLt-BF![+'ti(Rop6HN Uo ѓRwg#T J #jEQt#fƽux$ p*=bTD]Gs(#D ~¸S=Az̵A5D_NY:|+!:0-H](`=|uĮ Ѵ*ՠYhLbu㥩H5qf]c|V"ش ;Wk2>238Y4.ǢX ėel6N{<#/sFR#HMQ0S!6.D((<C} A|{KQh ZkL̇QIWYɓB#-5pb3jGIүUiDI/Qdʗd4 ɓ jIy:3&r 9#FL&OHg)5}2~UsinH6gLZԇ mMo-I|+z~#zÈ1Ou\^J3ַ|pXGXWg'.DSJܬ|MrdBdʷB,a6&bcDzŴ"VD]=t=?jmSm{cY[6 $2?"W E0#My XrTե #M% e}J|L5 v;{Yf!qC FXK2yYl$*dQ Dv>n#=BrӺ{ޯ>$0N3DbA,d:ccL;֡ȐhECQfM : gK'-yYEB\* ֡ܪSFRfaWݤaP :_,C<[kOѵ:rMWҨ0 VXoiUUSsL9'C!$cIF>2GMXnL:iє%^467c)u3V;% [iD&4EQ E\ňx-?(S+鞭bR6{mRKP]706hG$Ƀ!|P4.dր6FE@w)N/<[P̟* Nh4nX͑񝐛"49E|.'gHYxط_{%XsIG•2ݲL<{T+h 02&2@*)p/4.[ٖmu}Lѳb8<_33Ca(R6+G]~$Je>8\BǘM2uBqM>.>/7n2dY[W񗅇1Hxҝ;(z&WHl %Y.cgon +^2]庳9n(iisR|oFVح8FY^/ vY1I@q É>Gm㖋qH)+Lud;i(Ҍzˢ"N-<{.yn. >C@Q{KC֐?k]^=,o2|y0PnL;'pP}1|OxʌNPcYTM4{)\}D'F',$f6QV2LpJ>Q)1jELqZVЧmR-g>u)'<7RLЗC` Ef {З34e.TK1^/gJeA)G(#Qr!nhґ0[c9L2Y::}94[ $.e 2!K.֛FX_[ +l~e((%Sl:*J*`x= W6r].%q&=3g{~YTqs#q8H $)*;l)鼵y5*Xʗ^jqx:7-bugbYr݂yԣ'@:L+Bi*9ap o,Ț1{п5c *+ƗPGHn_ 0)xv$xzJ%^[~D$zF(I(tỦ(dRn״=Xfʡ#Rtǣ$<_w͑r(B͌}NQ+fYxr3.-KtF3xi0'%hi* Si;k0 #^rJ\4\sJqֺi4IW! ?|bW^3vY%T[%IawyV'ӥ>WU6fI}oǬ0jxմd]TF*pj1W5+?CN#&}KWuMnܞ*WpvI)6_BjfP=%DI%K9bEF?ɬ<(e.fEbgzK7kUE|{C"(<)8Y:BZde "uf'-A}-d`T.gΉ%#\ӬnRـ5sQ~q WFkS{TW߄ 9ߟdGu2V.12'Oޭ+٥K¥8szKeDw! uӿAAFXezMPhnR 5y^5'6uqH!|+Qb?0X$RϤ|O"091StmΫ&C"cOKQ t )KUf6PL+/M!`H0|~9Q1bgltj0Η{B3k<܀ƖR|smι2S OžnUaF9n<'~q.&)" 7d{LRQT(캁5t,FPő cF#gWMq,WpzSd]Hxs/Ɠ#$¼)Z~Lrci|?Oy,bȧ)_\'υ]Z~*NjnȌMg- V3yM8▨lv}y`U$ ;bPҺr1#x`X9~ &M!Iu :aW1'Q1 /E[.o@cib[zW:JR?G6 Rbpr)m՚sQ`'T%uy[ߣ>rp$NB 3XD”ft%rӘO>OMn bRCD!F?e8<Ꙡn LW@9ޛδ8y1*FNn$ScR>{6[LyfSg'(x?dFJז@ ILBVfb#!!\uN&VNȇ7dV,U :mxcoP8v4f-R/7ryUj)3, uz 1#%-:y.kRfC|NF[ Opi<9i y:ܰ0W@{;~Ah~SM=8U7, )wHr% Dyxm=մc"-KKQZDy-0`Zf2fB/2WǺcThdg;ڈ﨨3re/6}y,OV.b=XǠwD qB"YK79H}CK+`t'IR0^oZM8;8]tߨZ pDuĈpZ82fS|ESN5 ,~Μx[Y,z)t퟈nxtgZ~180~?$H Xq͎20zXBSs$޷lP+< 0nG_î9~H=@GG򈿲ɐio3\M쌨WLz:֟H8*ba!M Y?u),;\v 1,w.0c3y/U*VڳsoDOh کMy^ؔIsf7}a9`QU-:;Ҩ:07t'/T)w1`RI=eq|/mjT8Qkֆmt?5Mcʵ~*jӢ5Z",Mrq+wðZ\ium1 {б~Jڂ㷆?aB2[="OMf&r?ŝbhBqb?ד [ɱ_*$DاzI !e`Eૹ@Z-BzgpYЈSŧG~z)s"Ky7D8ƕ:*ܛMv9{ 禝)f:𘲉x3pm#zK;T?4FH<R.Ŭ0{1(^Q]#F׾Qx+k$׆Pکh3d)O{1?G9hSS>l̢:B^^kEe :*qUeTOi1C`PדgN,jy {d mk_ Bڡ7l#&l `A$iؓo\cJRKyO(G'{GאV/rݣQdCV "IܙKZجd'8_EpIuWEs㭫ʥe{kRS:Kx*B2X[`ELeoJ>L+ĽvT+:Y7ڲa=+H_X3mQғB(v]8YCQS"X'܁iѠ<Т.}Ьfg)륄Sս,se^h}\*PuIa 6tMcr |(Hz(Oꃣrp[^Q։@ uYt#sϨq _OO 91ga`Z{tʺQd`&On|!%7 _2f4A(ɕ&ٕk&);CNFnၝL2?`CM4) q$wͩ1%.%x a?d @™Zy4IxbděOM*mvd~`ޒ9Ό# UdIVo>&r 9.gb "&L qv*_?ġb慠:d}?_NAf1|jy+J _7۽_)O$,,}uLF񚛫b-;X+|3Bqܛ:Eny F^HlmE9tfF &Zf13=G\Ѵo[&we%D;?)Y4tD޷$jM8{Nv M2Dba'#PL44DItEOh1~3hv=BL9:GF1e.ȿ \;UثI7,ݤ~cz*|Q4ڡ.'.ȡ_?ЄdH1qsx\1x#bF!=SLFCY 8P2!䜣(vdo1hXGs ]S \ĕˉ1фWG3&*XjŭGxlV~a=G+h2s]ڢ6|ؚ`VZ ۹ %:*PF K8Օ'tŐq^E&΂"'@tu\XgJ?R6rE'랯Ʊ|idVuiUM'JfKK^=.L.Ȑܪ&2+<7$Vj>^UcyOCk#>pv1z.po h?D&^>PuTu֥EPvҹ4DK~^}qAHJ;!ϓLjY$bYdܼ]ה szթ͢eQXo\1{*ā‚к-LjCg.#q}!,(;Q/,;rPM=xZ m֥Op>ENxk8($\mOh櫮I8oOW~9% RyP2tvFscI "M*t(޹:OYE\Wwu o"2` ( E !4gWwA8(#x{=Woi&\T;=]yLMGWéo&]*PWOI W ~]_DTTt"Hn c3i歷>4Yߊqc֠~UHxC1\"t;D*lF2N b1a TwfDYpN${*L w#q09r/3 BEi)RUמ/yic\iqKZFjyc{J/.c#mԿLGf'7|B߹!ouLJӐ郉D%IWh͋ROf~Bq!ږ .X}bPP.Qap"x8x*o7CAAZ2ɨAyҀ@$1R2Hpţ88=u~icJ+_ _-b?K( rQ= Fm󞞷>lR3ʫ\yC=FJwŸljbC7"{1#cMfY"{M9ukGq+y›LփJ" +tiJx$Cf( pwXxF2`-"z0FDc,fO'!,u8Es{ڨIeCrt~7F+hWlEY}Hb2%j˿䰮'اI=# 0S ж.UqYIwQ#!nlȑ$XGT>*͌'8D֧RsjSus<{⼬g,k?YNQL)6JvP'\:GL~Lp[Q#KSE! ”]d\ a6<1TA7'Xd[bwI49g#~(Ω+Y m(pa~`4C/ø4 CO rF-1>!# b:ȊfEGc=a ֕M;faPEbCENЭи+E-nޚ:)f;WўWPM7(0Te$PbrEo6Dl'XmB!29 `B]0#BY8u(#h-^HLH6/qZV+J9՜'v\ޅT'n%ME[WMbdVvDOr'+R۶U^bEҖXOu*L3QYU-t}i^3?Z'oM`tPdF &PhGKȝ2:}b>b86E 3^)5e L'=N/D+:A<麩/Q/Ǘe5f~f1{m#RdE*֍"fu\(%7ڨ%Vו3Mr 3cD$ïc=GTv7LP-6np) 9|;9ě?ϨiJ_N 8gR{Uo $7gl>bN"NaM`%E].b+0}nZxǿE^ߒ~ֻ 3͢֌s3x͕.X1$׏~hP`%hNGL]PB?n` D:C_ȮMs0gQ$ 5⩌4T,L_Ќ6|1FeQRhhj0 qRh|i; v0RK݇*(t:ܢA5s'iƩ3O/$i [hy՗Vora<]pi*d1UkQ\#c*=*;⧴T>#DgϰQ3N<ű*',7cu,g%b.NZLRą!}S;?GH{v7vBt)d&ITPlGJӡLߞa$@/*ˋoT"AmT]+{ޓ=CL9`:me6dT Oy' )'Hx8@83Q3]o"2Mz m*X%E0O7[H]׹yE=* ۙDR!.XTrˢ?weXwH)aNdPNs8,S5igHp}+bXѠX*Ԩ>$H%CFwNR(L# qGVD{ Feq-_& ^>xB$0{$ڞ&c~ BB-_ܩs+4 Z/cŚBSss޼Fhhʒ 4VNg=-*ϟ_߲[WG.*Ҳuh+BJ haec % @b'Ta=/EVvwZ$ "KKm)6)nobFa;D}5[pY6f=~{ǐ[2QbtTKQ&Mn,Yshq #7JeTVQ AS"?|o19e!QB/ -׀[Q-*vv%/1j]gg֨ *PذlwyU q:O P¬\PE XZC3H"6<رB)+(U{ɳ2zc.`U_j<>dROq7{{xߍ iFSJ̩+KԜ 4 *'."M"γɳ 3VTg9E#~#,MB[;+y"-U('dgLu=A,XN#[1;n_,gIs")(RuZ(gD L^L _ӐGQӟۡŁQTwe 򢍬f"؈qNNF{^=^*Hi vqVLl;;:q8xDN9'F2 Spt΅@+]3PfM+u:m/;fM|NBKU)p5/(]!a $=v9YTdwDxMF}`DF 8 UK!y{N b"߱Y6hXU 2##a ))uL'L;#3tEMѥ/ntW#<)(RuR:b7qHh"_^e]ҳ#5SFo338cw5'ϾFpUQj瘮x2K*l2TK˝gP\6\_ fBi`(w˝Qk&BB|.|V||9Cz|Z3mU5S_'1d jgX31c3DRMt1MY (\d!Ý21 "%߼,Ywceh,!,5Gam|0Լ piGEM天1[Rc~k Akw76 * n];]44=~ "E|-訿$ERنMH̷7  &[wΑvܣ@ؕcNiɱ+Dvnc0OQ*ܗ1UP ik8-)LbR}Dk֦+vLӄӻ:Z髽P?P;0%EQ"B1( =~/>ZXNVAS=F݅Nǐl,lRsEGήTdz )xr:tCn'0&nY0k͋,GbgFE Q%  )aDP$ 75q@U+?Z#SUvp7|;EvB(p? 88*NcSOP _7zEJb~VuOy?fUރ*K\UFj\ *+(Czm'ݷj#)I=B('"&tM~6\Jvv;BPb.ؤ7!RG`څctE2KIԹ{1~ PEt`ɢtGgeϞ}>^4NzΗ`nC6­:*0PՋG(yA(o0i}_uP,Ρ|K~[*+-vϨ+D-xOo^h鄁ޅ"oZyx^ld._3nUR2i\ȁdHU6[ƪZFDZ/Mȭ2 %>˜F-)74:=5>V:cUE64`eR \'k~. T/OE^Y&6Ja@M{eqer]>6Ib{-+mۤ8hz+&XJ1%EA@+IVΣp#B5 uL~1GNJTv`*2V+S~/"L Iƛz`HBG}/>!%, Mk|ަ%ݴOk`BH?[xπ03Kg&~(K2*$ "?QO5HN$F^F;F:n4 z}Oaf&HR-QvtZu>Ľm!sJ7(*P{*֍shoqkE%Ĩ'|x?^>6.Q|(#? %F lii{93GT}7Y*πL!(a^Kl%X~_j ШLTfhRd/ڒx x$'QX摷ʡglZYz%f%oho"XZ3`^ ҏ9Qꈩ[3a 8Ռjvꮄ"AV9ǂ4Lt[bȒW_ydGcO 9%Xp'V?.:^h衡Aԃ+’H=3.tJ7>AݒIoQu)1y4!M=IU2C߅5Bd?*f!c!}xshe-EzCHUhNWmw7Gfbt),Dm($;q0oZNDIff=J,7l.T*'ֱ}َ| _Ws/m,7Nhb=e̮~1`=Y6CFԹ"a0t5rp8Lc8XO=Yq{HHْ> AUߕs1KouFcnߓds- v7(g&HӂuNTVMzE4Qe[I@.ARxlL8fHfa1[e ޢRDD wѴIR|I:20q2}ztX.WR],i+Sn%2j!`]fj3[+++-I~lϐLA%* jG(J:0D4>eb4 9r1xsd"P5ǍO cS:aghӔ4N_ŔǏQ,@#*D'$b:EN.%hzOP!I"΀M ENQ= O;C흳a(ז*î%#bۯ>q錫h[/+-W=8iPyidG&jce`ryvEB ?c!1 K.)tիO=`#r&=b~$ȗT@VHa1Gp!KC*_YgXO^69,*zФ,*ՕIcYI:;$?f7)Q{ϡYE}7ð:d95 ߜAHUjiQxޫS5^ ŮzO)__{@˺IvǩI}uV4(ɲ? eWY)lU~۶죜OU<'y~/J2?YQ ժ_^иj3]kQ7:[l$O]i٧\zDIp]r EP6AHC=vZ ܸ-א7mc|%k䙧1V#Y~J5dh]M1aoKFdE_状J?"v9DL3D+(k Pύ^CbY۝X^ǔRl5[֤aaUe鯴W7Q+` B9pǽ~Dϙ0K{hg1 è}5T-g GIó<a7m+{} j;j<,dR6xpm")Ee\ה͒QV@ akO6n>X4J.sm #ߏ鰭q"$nACD*J!Cn 1-doC矐P~⧫QM{sޡ9:#3|i-wFO(7SHf Nz)~,+`; EO1+ fSw("P.l-ya4fByE D.&@ŌZ!,xMkӢf1I^-UژOT-V|Fn;E/cz>i&vq׾Kf//+_ H$ lNe'pfe-}^7No$ Y;6i(j,].E] )vK`ˊN+Q0Qk)H'C;lqW4d 9!4.p'thG\p1,tcV>1cuN4A0gjQXKwєTK݈UqZQOD}]~%qttD`]pQt)E^ڞsh(fL~t.R$kx,J'bz#u[aV6-/9ԃ]J[9׬ɻls@òKцƻJtmnEM&6Vu~G̯D~(*IEX~D {5$c 1Rt0w CCoQ /lQ}8b!f8oa+k/^̝FH/7KMa/F4گ8RB` :jvL1CR}wrbٶ=oLKTgRG*(#c᫚BLq8@,1(ppFf2Ya5ѯuي(P/Hp>];jhrrdl uwA:"Xp|fǺsƽ4x_ghA@CMfEg,Wp=p/x ?&ˬEbkeTGaw,B#-T}yd% }L^ DD ""!GBN+KpFhLjv濛زZL1Ka3B?^-ƭ x@21ΐT#0hy+g@m'B 6B+C}~PUBTN3c9ErwU Z[G0#Hk+ :'K[0(֡נxM<L ?#y Z^ Ԣ囚,z@):%;#p!5$eX%$L~22G1yЕel* J|R[џGȨf16SrQL_HB4^ \#QҢˈAR,$zq ͱ(ˆZӛ3$*xڤ>Ozhˁ,iCF8ڲHǴnܜؒI~ yϛ)б$-ۛ6iY;*T!y\ySxۚ&aȗM,"c1}&NY3ߏ6i A؍M7WwZ'xs\u> 8Q@RRT P[Xd9lrM)8?n>f;lRZw$f&ͪ/UA~.<[̾bVrP,(#<&8NEѦŏd:+4*W숰V[ RNⳡ:Pד‹O1`FBxP)WO'ѕcN7`Xȳ<?LjbiKr7lHzZ Z!r(CU .SpI͸Eaȣ4,eR%ّѩM$1 [G& Vg>cs/XF MDQtL e$ Q¿&H%,rv^$Gm"|܆au "+MJ]hS's>#{KMšX߮ ,{e p0@877r i=BYsqNu&wcH3Z~ XR!Laʂ1gF~LY9WT,Ƣ0}ߓ(Êo @ߌ a=M=iuFpf:es^Dꐃаz//gW<-w[T( CO3Тpc JbXGQ/D:׬jkfqt+ɂ*yVEk\i>5kYdsqN 4<#~[Miu;4fkG@^K:OaD'x?%(Hzm) @eMM5 kr|p'PsVe6k1GVirs"XN& ADA!EmosxL!Dr,:YS?7);:? -p#8(90\ Y,)ܿGۭiDQ=E.cv)bV<\~-ɠ;_"gF~,c?a"j)THٜ'~[tK1|X*\3cq3QYzاb=XWW5ܒ/^ H?Pc9X3:heCtj7GaLߐ, VAI3;sSu>9SMgpnAD)"; Z3DFBLZ|^!T"ayS.P}Fr8XwZ6_(^CjG/Xͥw.ř jFJ}:ȸsr-̅2FS8cE:&vTÏZ܄C3At0etid{jF*bJ1ky9Ib߯^[ex;$)9z$D_GHafmV͉tf`}t4I&0Wt'tFg\`Xk|md"p?㤲 LCI}G6~.QȊ]^\O"k ũFp!yT2뾶՚9"GFYQK&%9 ӯk[T-ElhzId1~vXy@ʔ#=/N]loH, AdIxy?Y&;=b"l/uܷ "R[zz-=t?k;AcvJˎEGqiM " ӼrnLn{ m1 ҰgOhA/%Uer-Sd9 ʮ>e ("Al?9ɠTFujl5Ь>?XK^8ΈH|G`#:̼P&r z/G%-!8M<z_2,!y[3ΓTFؼ, P݊kůWߥNfeU-QQjM,<3_D7^}0*2#FECpu (YPyy}X4f=d:i\3>#M]k9Pi T-jnŬ٨ :GmcD-K" gڴH*0ϥ/VڛO\W򒃱4cS#>hC)ʇQ9bQ'yralߕfdw̻'dj򅟫mD^ߪCs(1Mr'H.tdo]AK>&mg!ذv RHC϶*@feż֧=': 55Hv) bQ?X Hl~ وDw rc2cHÐɩA7ъD:s{L[~ֽZ+POxzdhs褼>Z@$G7+E,c XtW xQlJLTOXzeMs՟ Fx-=qeu^P pYS?|U(eND0YYKMڜ뤗ՅYggaHs~>2J2!4qCY(sm+>PQ;Ϥ(-= x8 b 3eW,wAQh-QIyl1(bO!R)܋g̒e5yRpjG8d_LԜ XpB`ICl}. p#e)I6_"Ro:OigTAXK7)$kIXU =%h4lU*$KaYG,)Łb"g^yEefl>㎎lB6F$o"_RgdY(I7K,z%!L32cORЙ"qQ(z@t lX9A8^6.hQ囟fR!iE>61${4|\Y}/3P+, DW64"pِ- Tum1M1dDŽ :QN̊kERO?i`m2Q&}UZ`r`-8?Лrc{rHaOdgˁ1FrDsj` +SMةM/ OAsͮ(K=^2k-8N59t>Oܚ1 : ⊛5 [Ae?mv޳e_Yp|Z3QV),^%8Q!X6pE ⪞rG "<\lqRkhv_ceJ8NPEg -i8R|āT~ƨ<\Q{KM*,}9Džҋ)te~+~Z!÷l}iyYC야ݩ $8@sb6+82;wdWsWL:mKACG\ܣ{(_5\L4kSoVЯʢ T9QiZҝ$)k4DGΡHaRK χ.|zlE>hg(_QRk3tr˝g#uo6?R;wI,_+YyѶ7^WB]e2%}sw(DL+Q1296hqPD"g33 *TC\,ȹ<ڱޤxR>C c1g ÞQ@[ug~ǯ\)B TÐ'bfȢI_@'9ڍ֐B9z=r?dj37d0ل;)F"!%&DžZlpHӜIg2㤲tEy9ft3D55;vYǜ%ZfMeSoYxe,/1^׮8sXI;SV'$JRD<\XE YlQGF|G\#C&,g0VK5>yOӶ ID/w3t -N$/S>%P/IbВ"ILQ2Lti@y\Ѩ=cI>#= 8ԆdqO8Ibrδpj0 KA1XHcƮXRSR"oa YeG"o  ^aY˨?>,Ԝ6C3SjXc^P(dA#sυNv3QVevٖI0תeAc| t"?8h/SKcHu wBqD|rYO1U'm!au@j}2TDDc@<3 oz"uO>0-%I0# Y}#4?{Rκ -sa3E2-J PEe|_$\^uCZ(DQℛ(EUKL|#F/j[lvOs{G؏ٔ3TXôs}Lr?U_A/L{5&MֺaN_CpS54*=XqfcWA/kZ*U3Io%CQ`Q[ɔ8E5 me&ԃ f/.؟mix{A2~ɚy}'81u%n%c,_$G'&A'u㺂 |.7jw0'7 uGF9dGJy舔^f{ yR4N%ЍgŽF4CQ׸p-b. Tw8IK7)70H5bd!BqúcI2#Kč9A$n^4D'~i8.6""JyV,gbiK.|E?'Pmuh^Bb !L4QpF7O7h! EuȝS IEIʿv? H[#Z3ds'H4% 2oؚIϖo /{D$ bq~M##|wp$Z7Sb`-<щ6uQ˾<<ꊄ3PiIΙF'ԋ^l#_48N2 $mM22\&1vB06).ArYU5N>AV~Hfࣵ#8{ێ1! *eZH#$O)̜_roB6W[arPÍ;Ow!2zW'jt4aPF_'Oz6Փ>L[經{p㈇mM|6^9=SOBc9E: =dғ4t/G U:^#"-6%vd1BLϺmqÄm2HPkE tC8%+(B` ba']rl ֲ-7u9=ƁZ4?@bRS$>t?J jGjP&,yLjs&˄(<.~( O}x_ё|2` ޭtdDY6_C%]JA5}9d-0N"4v9' f \F9(o D*_4t!k7|I\qĔPP]J8C17"y*8.b}Ƽ#~ nRT5g\{ɸD m_"\Ϝ[B9@&`r J!P<-Q7 F qI֍&PN29I@UpɑYg8Ũ[vԎShY{&~opFt @fǦ#X~ r;-? Ntː, #{e Sϡt,bU˯:r4% %bo@fW=iϬufVTh9 bGܦ kL}oq) s9 +O\To X9y̸I H L4#E u=Y AS ߰9<Lr& (oLQ䖦(v&dͯ S:qkE2z_k~?%ʮx#s&*#: yKf 'OD* =`]`DuNY$˗4'YXž%uĚ1HJ (9ơ,h*M@", +%c&2h' })}I/)y8<|q햸ܐX)M_6aLx)yA_;]F!p7О()ER!Ăg"W ߟ:]ǟPbJ\@K ""Hc?Z>YO;2hiA\mD0fEMH(W :{ ]K~ ]笼ݯfr«Lj*TL53'Dc2t/sLu{' qrR'dchvE M Q2daX:WOW֕'餔BVAjnMFkR{gr%=+.`Nd qd!3dͲM'ӥaݢj 1y*zߧo-B@ >VT&GcO[ލ0!w`#rE0޳&U~pϞ"0@Hn̕1t'Gg^M(L`$Fa0oò؉?j ܳPlYв6 \*6J vFeHl`PrҰbcG"] Xȑh4 R}%a1Ke깩($WU6fz2 SukC0&U"2:E3r6AkxAMY )g3")Ey3w5쪡.(.E5x=9zM&홃iZ.ujf~ݭWO'/S,g˯o9)`_wFD;'bP*铅ǯpE$M%XN<ۜޔ*2 {ѹiMЂFe20$1(6ٛr7q\wt&+cDӰ;]ϽT?ɞ4!AD0$ ,G$89^f;7 l0ØGO>5QN.lKt8kMN~a/C1=E#RhI.=Hb;գ$<sI'|8˒D$8Fߤ6y1Wh}>FO.Fbh.<3z(;q*+a />}0pB_EH9xh[1?jvӼ4-L:4Zd=Cu 0`^< Y"ic:V)/FG4*D e*{=j”ttG!;s1YbO8<^v Ld>K%a7`ռD3_ J<[Dic^U"<-zshHu뿼jc$g*k,} b_B*|3RMqy"Pr,%Ğcޅ)jQ+)0gx 8/MP.\|0MXD` @Ͳ?,&\ݎ ~zc/JRd_:W Xvu/a-x*_˔f4lT2h"Nݯ| ^I!N|CF0cPUPDz/zb$tAMUX6n#!C`s\'3?_ Q>H~Q{/}"I=X` 24 ֔,I2r:oܐtܾ~o4O\MY|H2w1ogLW0M je}BipڒV]U4EI{5M_).ɶqi,+lbVVR& Fиo5d<|嬆u: NֱX-ne/VtkB$*q!~Tm13mz&7 Ԧat~4^9-ލj%]zH&(ftn- 6IT|-ԂJ& 8~=񸉋ݮhQTEL19`N"C:. Qo<$āTː Ĩa;\34^/^m#Ԉ,R`ٚ; x˱8(Wr#F(gMxI[EXKW"EO* A 8'q鎑2Pb@6щŜN9/dQaƤXq#KSvrE8~4I1MOy&ѽ)l0mJ{~Ds'r(ԙ||Ji$2`P]5LȜu4nkR3#`~Vv~c36Fc#[ ZZSREvM2CW_+낕vI]-J柤eڨm~7ռ}zuS&5M9s"Dno6R?ο%YX\ K}&6¯6DžT_D4+*ơ7yaS*CpXXO猍"CɈ^, XlѨ~ԋ'̱1+Cq#2&К* w)`A<5pCDb3H1:!"oyP ">(CV?|KD `3-zOuxӱe@.NP?ء ?ZDYeam iņ咢ŀh<\_l_]v੼V^^gm;AߟG1^CS4UAplιhQj%}w4v|m˘v4NշI㬫SSaMLxdZ%+Z=%gehxwviFg;ʺ3L'|r[KT,{z9JϜDٸtBԲhJMwص^׊WTՓ^Yadtr_7}Rz1a!%+[-a3"8bqzkzijltfXȧ2AuCB{?pk2S7sZMW`A&BY6=`O̟ᔯ\e2é023-u 2 k9+p `\-gTf֟Bѽ i٩lx6Ls}C @fE#C/ޙr8Dx.(K*nL.Oʥj+J e4ӷʊ!`^v-c] W?^\P1z٤(hq7r ¾A!I¬$>´zՌ–W7ޗ@+n nX̻L_sUYs\92JX|梢_?j2A*"M5+s.-\vX2u1)fy~ /qīԁoͪv甃N|#.)ɗL8ɏ&@#^F+P|)W;|u2[vμvB׏H)?yg cK"\̬-4:͈TSf-M*~7-QLwڷTʂ)zA7K_ n4X_E3}lj^$b2:~%/?)MHI Z |*WuP(^!cZѐMߙYDUz*9o(^ ~;24ҸB-We1g\%=N-r*\WQ٥Zv 5q$5 Á&AHx1}0M9Z_Ey+3KA$c&LZy1ru3P~s/vcɼFJAxrܡQmQ_9tgZ}j/&oF[29ǔG_\I.}ԱO7w)XG3VO&.⭸ E޵~&/'sEtWn'&(7w BUN:nH&(}HWU4_&a!M!ba2ǥ:#yٍ39=q-h⩝#vM{QMTFoPѤ [MUM]A\s^?f) v cL䷓*g(E.7hdSPKCKyfG'giDUGHCY#g[o}bjy%,dsq(~& dVbs͑R;HpG8LuQ|MDַnO~f]No=b#RcYTэJ^nq+Sca# eO\!Q]0mӤ˥MAz4'2cFz#N(! Nth^8AhV`\èg8՗!D49n1S&OWܸ-~Zf`-ڈە഍J-F-6wZ.9Egc4OQ!7bXt- )}ub'6VG(~R3eER&y:) {)90Tq_D*=^_ʞ&k;Eq#&Y/|ޙUndV;ݱi4ꝰ\$}=XS7]HDkV~`/ν?:k⬯r;M8+e78ಝq @aA(gI4\an8.Jfh0vۣO~hI2 ogTWO?FS1jέd˜ Rc1vS:MRufƬwف110 Kx#S&GC* c^F~_4q1Ƕ4ՍM-tA6Jb+1ϞZcwH6.+KJ#%ç+K@d&-Smg/]L+(`'/L|ߢ-ZEFnR!LQJը[@hO9vy>>n'3gC3Aau.􈾯D8pF \2tu∞<4!-R/̕dKIˈi#2QT4ce &*ѪŖ|Clu&n3ޡ(>d߅2f׼NN5sM~c+'wb9 EtɧgJS A:す/c:;FDwTɽ3y p`K7Ȭ:vb9xYX+-u0_u;gӕB@!s1RlH:suD"2@|*TbB*+# ak;?VgV@!.w%e\[`gLdF"vo\Eݬ,9յU-(UDEDaO?mVA?ם?Vt Gs*pUsOD$U%E]d*E2oQ\ٽ=c'0cg ˁ%T1ɴ"J#;.MdD[8g6cpØ~8|1Q.r:ETO,0錧c)# @n&S0c凬8uFH6GFNZDwCeU*;(4jYjrkq_X%},Pʨj[QԱ5*0C8`^Ȝd&Jhs=4I|{iPXiw[N=^5v֥Cd) ?Ȏ, Pl9f/R'g⿦b3F 6>f:iLX\S'uo0\ڪ$QVX׆yU=漼%H0#y9JO30ENfeA,SZ|8FyT 9`|IƘ@BlsqObߗhpZܪHr-g]Yδ>VM/"N0v5!U⧧*B$ܴsΘu!'>$>z^|dM"cn˟ڻ/&8oUϥo״m: \EEs^׹_ uO^X)7"R?1">-oHllH%^3L UYF3j/^i$A̟>B92%I0@ Gx}+ i&|Xe˘$D6#=FU6\p&y=5 L'^>d(˿WAAZ.L`u,FBt8vjk0|*s)qM k3^RD扚aA4΍EiH<D`ԌV/¼$^I[vlV Ǭަ b$]&LJ݁@Sx"yO3]O~ׇX;P;,LfWoDĽ?,lެKǡ"+V&fuLbi3HG6_2KLU|$LI?/Md"tSyC(}M|n~JKM㧯6t3o$KgcF6M'a2{$#{hSN&u6t5N^J0jS4I̒e+3Y$ Tړᆡp"َ%lN<##ճxDWcaz,SdD/2a8 ');B(mD {G(>jA \0%r%p`Oq텼byMgۧ=J/G@#((^E 2^ɥyT *:&I9s(sL48F"Ď?ܾp&Jȟ$iCoK,A;71k rJFcO߄ #> O(%̈́P2)`_ex5z973reV7SZ 3H}1d9!EyCcX6h*\;/'!%QFt\^'ctiz%;ޮKY3oV]苳<Qҽɞcǯ\KkFc`dXC|O ծUPYI^ب/mGHbݾ$DA q(̰ ;q&U*a=g8Zw+4.+rugDMҧTV-\,r(8f)+lxϕI$T.+-CHs-b=kԻ8ߗ]gFҢHrGQ㺫7/GOk>$ҦVI`VGߦʫ)ǰ|vT7% d$uEr~r .RYbwX=3WK>砐(ÆTY#Ȉ;:+~i$s#-C#Hez$e9waonif_;cd15!$ط #oM *SIa/x6~)5 #+%:?pPVN 1Sչk7ҩ@!LtAeClbBrITЖN _yH ˲ol+m.ƗLbc':qTAQB N>`8f#sGU3+yF~I;{SGjbUcokiQRXeO[gBO +K0JYQ,elcQK;4.3Ih^f\R]֢9%bQ]12U,i97#Чʹ 8rI)wȓb7%UעjWSJ2-cMeچ=s8;mB˒r|O Je@)oX[B/ىk }3,bIԂxZH \˟|XPTKcS {tn~#Zx)Xjx't#lb2'!2#5IӰ²EVNmM#zwwMθх LYf):B%A}VĊ3 DsM}9G*t0xWøN$jl44#{\"RSBW85^߆Y`3WE8`+@yQ5]M bX*,1 Y*<X;lqR%UΝlpB&HkT A)TSL2W>VN6^sRS)ϗ*m]ɲ hʢM(w]2ߢ;o /.}}sK>rM*=e3e*!i qB7,ga4{*A{dmTw&Wd&٣9* @'ӒryW,{!ׯB` l@lxA-!iB!وc0b`B1X y >HDQE0Z ,}q~fYOq~ 0Z2\g]νgjr-"fB/s-lxQ)؞$Br7Gbxp\;r*~EPݢw3 *V]ihMhjC؝)XbkS,|إ:ةɃcwzedWhSg D? U>L 8*J3Y7qmu|:pAU@>;}4T&(rhl-zOO dW8ARIH-EvPRI8+%`"DGB?Wz<>4uv$Т,IϏ7)J IgQny_SR0hV5y([`4 ( >ψzx7g|݇tfo94li h|?~T6|=Zݥ]^49rJпl-2LC4ŭP"<&h ^nj3d `ؿԀ7!\8ގU#ڲ,nG_AbbC + Wz퍀![$@Ô1H}xù5{~mL{ M)yuG ؏3 fO ?E[flBv]TeǝIca"%uKO9q$t\[Zؕxa~tI$k;pzv) i70)NJHau9TFc1V0<ΰ;OEMc hnmHbtt.lw}aH+=_:*E%/L+R&,AjC`[5`ϨUc4$+FUj*EʯIe_$ew.~x]Wb̪NΪd{hĈ+?&1l|Z5 ۲@.JĘryN5hj[0WRȾ" FVq]YU'Ipvg QXsq";Ҟ1u.%=4FqBC3H?IehO6? rRKu]S˙9Xb|N>e-7u5䏳A7vP#vPQܖf{ (ZELvEi4omHPr%]}L-%~ZMFA?zЬo1Ϭi ވQܔlG۫Od4&ץ(Խ $p&X4 Rn,ќ6-6Vb-6E?/ z!S.]u((?Lx%)D8" F. 8>[Z&t-آIkDp4bLZƓP~v; 9iN"D;8(3 TFZh-t"RoI\syW#)v_퉢4S\SZ.(p9C1KN$D) Xľ7 JGg:&!]*\ezQ&g;teBΫ$}w@yri>,q7 ˇߩIbZD49&ZOZ낍0-2fAjUF:BZH&E[a&OI\0˹IQಱV|LaDaŬ}6n5%&=y5igKJ]TFW2+impv 'd~ QCGЉ[ؒk *e ^L ܱ$ b5ܢӾ甞UeSWW9 .;IRzӯ[Za5W>H#? ?VOx0 %ٝaJ!fz";Ӵs|B(Gr401spr ܢ槨W7B3p瘊PHÚy`²QQDXkė0]uyv7cLc^E#M41?͍4/iV,nݻfci#N444ƞ1۷B΃qlf܎swZ`9\Zr: ЧVv0qcM16cM1!8i cÞ{Ce`4ӑnوY0piMƆ7cv!6nf 94!F훱ݳgۍ n6nwA9ݰӃM7TEQD]*%CjZjFtS >hÙӕv nѵ/5ʪrq4,$-*h`0(U\cÚx5媹EO:tr)J$]Ε c3CLPn bوF `ݡC:K-XWEtPS!h-=/O#*&_N݇E=,Rώ yUi]B_z0V2閥1UM5=(Fe-69W\7y57\JaJ$~Of]zı&r " aXe$8+=Y¼r;%YL<"Ғgi=ƕo.,NS 2۫ٳnꬩǚ94|./?d~iY$/q)b/ۖ&h7رh+GI\HʓI Tܦ ;DtTH_Na/gV5f' 7G%ubA1W0f[F N$MTSH;Ҵ˿f%;fA8"t Ŏz~ӻ1XV1BB!60114Ӡ ;'<@:aUۘPج`!!]=4͚l44Lc4 74B4Ɓ4cvnLcr?0;~(frOtoƀ8?'- 0ACsP8_b:쫠흲:r^/"zع Q\*#Sh1RCUϯˤQWvk`_ >2Xf&50P(8q <Q\WXB189h#I1@ГRb_a,0JٓN ģ(̓ItvF;"1䥘ĢdX]fTlۑH.J-.8G^Ιa@*LCM|[?jZ':fqF}MM%y=Pߡ^4)ӯv{յ: ~.Ҍt}`'=c3'?Ĥ=y8' AĮ8`STcC\Ve%nzݑq6EW/qwɉ8ޘ4+ [OO&Z"ul$I4WmD.$t)&i=V3 "ˆZܥY&=#Θ֔MCfz hma\{ "wUDI&+վ4KN-ǁ75fQ5U_>)^&c^IkFAl{ T_-TSbE9b~ZnFÍA:iP؋H1.)؅6h~٦κf1N cyv6nr4َӋq hci46٦Fw+g987cF6l٦llӑŧAŻw=Q90c1 89s8g#Lcf7qnݎ,s4#4Ln͘Ŧf1l7iV6r7qlfnf igfcf1lqi n7nݳ44ݳM6cf{ųvB,cfqMۍ6csO2cGnNͨIwñ!g"A*tY'~;G1r9DiIMd~Ԋ%#텉ؑ_">2rBY&J2ec+Kvbs4̆f4jOXՕ 59c:(LR k;"e@E功O>a`el3pj^/+v/?dvy0f(m,|_-GS9ZI#Of*8##FhGB15f:Sؽaǝ!ʾ`ӟ3u`c,+|i=؇34L=v0iݤ7#Bqpc1!Z,~æl:.ss?*⃹:PYt5ږZzϨ}FgtskFE)~ntMA {+٨erpm{HIv=< &FGݑe8D&~s3,*"xReQh?ur:*~l˫y8/M/8jۢҙH_K? A4*:%8Sv9GJ_ Q$~8 @9 v ćBY+ ,wNX#TQu6)F9Hdtӹv$]&"Dz^_h'E`dO"4Bp̊eYn> a4oD2T<=g2\QDrXbH Szg_3"Q=-OksAǝ8j_73?l}i>ښrY6bC+ 7 s| CgNYMi%d1cL]“$u!bL nwH\Ø(BSE gW/d辠j4+O}#-kSET5AMo{&HYT,<$z=+ҵřzSn:gsI "kB G0,[qsV^G!9Fg )nCt|3%o!?XlSURaTo9SYDtr'KJWhW(4t+t%܌6WZ+ >R(dHZALC8 榭 A>e<9dhB(" ⏴4Z2C4S4('U)n2:G|̓K媮pҏM=R/cV #Iǂt1DCE**Owk2Ѩ.cgӯ2^jIE'QWq!"ע, -IRV.Y1(e!uJ G`"hFCz+wܹ>g]+LX?/FY4I>L"G̖ZRNᡊa { rq>!H\wz?,FhDtX~otAkv s TKM<aߓqG*qg3DUf`dfmZ,.3s;IEvGq!~Wя ˕OneKlxx;ZO`+"LWQ;sƄʞ](M}k-3#8X[IjM_0MD\E' mmP/zTg:gr&9t4ΏeoMB vLn1cf[y5QH,6oA1ULN${c@T+P&ȱsܜɞLQG`baumۀ?tp9i}=hL`ZigJn8}yycYҟh!z;41ҪDB|MY>{OnE!(6ܗ|* ՔpS)h#0dA4G۟D,I)q/Uf}~r\%7Mv0TTM. }UHA WS$nk_ ( fFK"\ي Q~ā cYd$$ sPoN y>4%-|!K.kBJx\~-m.&cU'&A#nFQOXiUh F1X Uc10BbicV1Dc1PBi\3Fd9B`+`R(b)F $` 1`bbbL\X0c1c#0xw= Ŏ,H͘i 0n:bnG,ŀbW#ٰ0ݳn1#g6[9\F"]"$`8b187iH`Li4lݦAi7i٦1<魹G(8(d`0llC>'G/$jaF.3,H&R]Aڏϥ^tjAQ6ߠ)Tr JXVNh4^1` w2c(OuMqIvFQ'X]MZG/.s~1mvo76Yɢᖆޜ&9|~Ƨ9*&\泬8mjZX7iUDy;IJ$4 cžF!\ ʐ#:l:Ե1r]~;[2\y<0lljJBy,- B1xl?;K-vDƽ'O͊M$2OF`u6)Jxƭnx R6 aǁ\agqsiQy_= T\aSOGfj"bCoa~ȵIlˊ_ Ů9 ZtB'BA!Dj`v73ɧ)H #<⽥˛}Gq.2M%KI1A=T'jc̱E` -)ڭ1dc(9ӈvLͯ8띆} c'H uuva:.;D"J۷͂MLT3.T?e5F[$ok<$^JIqn|? 3t,V۴+l}'ܛyBU=\y6iG7Rd=5gG` v4~ DU|(W`'i3ͫޤVgY5YJJqX>fFABdDp/kRd8_(WaIgfZBBWjO)΀!Ǥg}ڟdLƐ|73*=%? XrD>,M߻ԔT!(KRrt]d{֔N[2>ZBaD]]fKh-p{yj/-Q$`  3Zj0(#EЖ2WnFoWEr{ȫ MXi?-I"Mrɜ/ixچ((i;Q4_.RCFAԾ3_1fn«.&-;aB7zN5C΂{_ Ƙ1cM! cLicLB #B1cf!!M 7z>54ٻ9i !Bc` ccCfGMX  c6i6cBT(i歞-M9 r488/8sEi1;g+9G(9UԱ :Xi : X !Lqcd#pplB6nٻXi c Vf8Al6C81ٳf!Ƙ40lg0vQlT?cdr1#f͜uhEcqHM0q}2gŃ=fr<ӡ:#}SU80icN٤" hcHSfpiZca0iB͛6i1WtL#O}KF1d,:v411>Ȇ#nhp6g@f.K;8fYNҋ]R"hҰI+œޭo;#()3Ӕ#F覯>z$JvP%Ll=LHg7k?HK |}r?B LB֏PTK_>5sx@IQ"ނ ܫG4ȬObJ& Sp 2>SK۷nefꌹ寿N`FEtԶa|N:uq1WtOC(QŲ c)*qN6W)\jGg|c@Ӏ* _&ų 2 8jҳ*c$ى? .VɁfї+i7:(-HMJSf( V}Ba!'DcPN? B@B@8L&E @mh܇K({Aɿ-tF `0c>Ic`t# ì_XX{@Nhv5nƆ1Y Mh!Bz 2Q@,+@(MA֕aŻCc 4%O\$xOh'k﫵=js~d5zt RېM\fA:0@6 D(<(GAd@=@ |@aVP~z m~a8 07|@ ?y95%~JS7ʊB;eܿB !a@z凵;&uTuv@6SYmxBFh~¡y2,%Ԋ%(HO RڄЫAL.cϝy8|Ad{\.>uGpK}<ݖ}aC|IΔ! odkTjk0O 23!A7FD3+銾J(A士aPɂ4N$D zj*IHǾwμbL"HbZK?T? S?4}rā`WB#/l!/\XH'R BK 1Gۆ@қ 1Nmt>H<ȱO#iw0sā>B੭(BG?8nO[Ӎ4P#"\jNnU8Í֎#>cV'`{aCQ0E:)=&Lf0ԄLړRmJ݁_9&)S{ޣчωD9)枠E7BobQìL3y>29+/ҁ,кf$vNS9M[!?;KodT椗S:Y~%X5~I⯎xvjbPc&cvJЯM 8֍%rX/ӈ1g\i/EE"AA/3beQn#pic& *সU4o/1W}7͓Qp}Ugyr.qZKh߯FW"4l)ڑQGbF0ŘAp̨Bc0~3UCv̒u b4]*LdS!>4Zya]OdFoB5ٰ9qL]gc# iQ#NoNC|-Rs21lg-$DoJdڊWm|PI$RP1ݫcӇGJb94x`DѼ>'Fn4T#.8VR~HO<5?S{.fC0+~Ggf;:ıxQ``Z9&7fů1o$4SLo}eE|KiDgJ&9rrr829$#f6gZ-Z `"\:$oPf+ZETS{U$Rk#Ib`6uϩZ۟$FGXb~YC1Y ہ9o9Gpc,wZUaϩhNj5d #͘a5ΞAT*}㨉)gn>`ߏ^q~ : aZ,B$p6j]"67=K8Z%?76v'Obg @$")`^hP$>VAF2.J]aĺtOIJ9f"Z&gL_';䒕7F];%v+Gwc:lY85W0Rr+!@옾Y,|> I l[Sɛ2XRGȬwS 4]4Pn MLQyͬ1-Wq^d$NU{ؖ?mm IBX$>@eKS|N|GFcvm(D`gǪp'#9aqhtbX#!n:lД DE{ٮ0? %6g~0vB8l𳾬bbUd7nl4}p}桪 &.$GI̔.,K)W|a#vwƿ 똋/ ͶFb1=iol\ЈNNH= *#lՔ~T厰1O8?!NݘO] t֔$jzF3^`#8Wo ,mMO&ڎta86$S1#L[Ffna=HI!Q 2Ф.)(*LceAә_@dgntB=21-e)AgX/M)eދ~ ̤6iQmIMVJJY\/挨L瘺:#DQc8Rc+*7R* @K%Z?r_8eǴ +Tx~Μe-z)$8c5 I}% E{Tu`6ִ̘Ցdo{ () ;f-5טx֏$fNu[Z44jz ճ ېۼwؿ0okW̼^rbs nW+(ԧpTDV e=NѪ?ZޖcF}N=Z_k_2N⮎?&b IX3ބCfȑv8>T͌Țes) /QPUSv}tԦ%=u-եS('-+6Gt;LK7e~CT1 oZvMyɻrOTnK+XHADlbƆ \G]ᯉ&gY|_Wdf4u-?Eheiԟu-ZֽRVlc.-rHn˔:VhDUnī2,q\5~r !Rg$z CB@h2OJw9)'c}'J+bGl]a%f r* H2#"T zy+F𰓪 nFKнm!=DQ:/c- f AqnZ/y.s 4UՆlXEh򒞚.dE$T&O(HP_.㚇0{(ӽO%ZZ9I28⸈8q(Y5fOKc1?] %˯0)tg7)@W0[tRt _1Ipsq!Nh- WTU9{QVgDh #Q% WTjz⃜hɯХn+yȠ6G- ĝ9z\WVH5>EN*q@ D/m=Cx][i&~vG<054"~Ol Pw*93bXE70wI;⟼o0r;_G}˒zVfVdӤkEʢ+HKRvKx7Tt qtY>YbN,p{"$8~Zo#KOo/Ҧr8P|m xF؟X|̕\wa{$؄?B8zu3LfD4Աώ@Rl7*i1B`>Az@{? IMַ.]6ط*[/*-{1 Od&͑Hğb` ~2oj~n)P^aɈ>PB)Dn.gqnz?}<砌7beʁ+Zhk@ Qp" ;I}8!j'K¶)O1fW¼=n)K7DVGu/rMtbH2FDŽ8\d؏qS^UM(al+V3gYC0{')-4d*К)fo>} |zSM;YnG8N g׼SDkz0Q(F5Ee8a.娦jL0w7ɶ 3i,8:.p^Q=%?>sS$='~/8ܳ}&8)FPf1~8kY+\=$m@7I)[, UVmFArSڿ)v0Y|S׹>S0s}ZZEZ!kE> ]5èw dT`YC>ycJ4G<0?W,zW5 {F_ s/B=fPFZj2u R>$#def ӁzNˮZ!/sEr~_:o<˱1kx=uPUFѪxN6XwiGQM.[aޯ>gT̺0n hxԕ |b2{E/G9ұ~PA>.t`^/@\g ORľy|ݢ0xAw;5[սepsH(r4vFVU IJNeFqؚ4n. rx"e-A6);q`)ԥ ܗM\p!MU%=c鮎;rSޗ0UM^7Ԫ,>i7}qX wӖYj!OKf*ܛf(M3%]Hߔ,N}15@pIy^r)a{k:(R=vبTDb w=l"@>{vِ#F]"bZPD`_҇;w9.,(ibd}ox?MY%;U%m_"W٧FQwb>ha I"Aia3|# 34|@=rKcx0F,ĭ[q̯|@`vI@}2 rI`QS~?Z&KQ> ޳N7K&\rWS6;6e\H_DqmV)Ɠ|z&\IT+ )1H&WjFmΟG~ۻ]x3P1ÜW)ƽvG8$ D0KQ,68^ aƘAH(U  _JzPS|+hB0wg )gZ8M꠶ wXЦyZI6{ \UP)ǿNd>* !xOCd:F8W^Ldi3"vO5H:( |NmޤىWPA01ƓWm3|l`\N}%Oyp$6}j&hEf3&T4s1>ڟN ȱ\{iZ Lɽ;h5xIemRP1TbGcNCp&]]W#i3FXg(R<5n{@k8c/a|(dT%{hv Dl? SPB49Cm3ù:ς/iYn sNg͉H-DF̹1"Dy9Z1ic{:HMxOT*|׶(nυaP;\ }4N/{A1(D玕} 뎮6M-tǶ,wn㞬k Sy KWf 1 .'xFMYVp;h#J['DUȎ"HnFpZ7JZP0b^wONj# FJThHx :̩-c\w̸hTNͬ˟~q%MT,Beʭ1Y"2(cW~Ff]#OR8G\3B,PqOV_>4R!Fw[&{eCjl}1@˗1j"Ql5I,mha_cZ]]#SCjYN#ry+.IK;#;ID"Ck_2dxiGX;Ҹs7P~Vt|s\B]}AvQXfBzd3r(L;d[U5h3by8pYN1 zwHwL~?ߚ+2^Lt!1FD`Eqf 0ȹ(j.BzieNT[6'ȌETE] >LqS62xaNBSqV"$2qUVuDo0>'X۱ `ct6JkmRy݊j7F3'ujgfN/z{_x{#HD nC1xF!3$ɘ,_{w_?$tMvt[ٱX8O阁̫r$_u!VN+ba^2lQs?(|B1J5b 9Q*cdäĚ0>Dq%̐EiyŁ%I\I\qыysEt4L:C VA6!Jrm!$]e"#:)dQDeN;5)u=c<¹mOl]C@#lHFd |'9; }109$:}|sƟ4xv3{/prpB~虾qzCN 󘿾ys~UVXJ ,"*w/e"~]sB/L#5p{ ofAjk=d̂UTWQ~tEN:eY=<1[fަa(Κ ?}5 GU,IwauE10#JMe;!sPs#LNu&f#~ve ?} M{.w\sLYRWa,R"Ɔ6>H]+ur}"u\5݁H;k⬠W,ؒ{ogK( l5I0%_n)(-:"%I 'i/gO$)=D"ud[ӑQ$߳vS1_6HMZl޲hvS~jRu=^*cEv'Zg sGq>EY}CbނQuSH`)Ԕ?%[_9}BIo SRHNm.HcFo0<}ϰp%N>|+ MˎTUMgKm]v!zzʨ9f _R mR[hSM>40֤>g$콇fj5|m_TypHeX}&Iq?BjK;}q*j3W򭶕 Ƶ)= 1SG>Is0V4hM20Pwϫrm5 fi0ȋree D;H!3\38Ѐe>\jBIϬzHOQuz=q^yH"J%.}dH:gW<Ǜ[寣!+ \FQT͒ZeR`K?2I+p;jW9-i?}d%)$_UP_BܕZ5fY ϱt2Ƽx7̽xT.:I |bLp7 g̯?w~e٪IL D+L5'qOZ$[ٞi}3qh_TPbR؏quWQeUR̈uїg bPž!33X*8矹DN ghd JYnn‚3:Kh"c'zCo "/K-Z/|Кr!j68Xa;X=a?|>?-o:T6Fmi#P 9w G̵JQPŜ>thc'IWnsfUʄ4^j&-_v]n%>=+ :z- .sp}G =,b )#cLj~#C3{*NıS,E}GPX2; ٰ?>3}ϕ}^% f%j,DHAzv/+4U}s lF`r_Ǵ_pG=+iN|O0øt֍? K nz.,)oD'D58{^ď)Fd<#y1'`=jcd,jхH9 KZd:L͇8v&2U5uqï9c#f)OwGYd([*d2ˇOQ/ 5Χ*1yYM|7TTDW]]&}MQ~$ݻSfk) zSD}Ӆ4aծj@SciPlwLf12u/17kٯ6=U18Spg-MȎE->df"aP'Q?B뾖c):u •̛Vd58ĝ4ɐ:h=^1]00J .j#"lˡ4sGL]De6wDvU_֭:d|\d|w!pNH.*F!7:Yb1Tw$}DRxk9{x5cSo1`^,Oq{Z K*6mSB>N@~2ӱUF[X gB,$XPϚ1!7\Wu]}R_ J?==⪮*뒣ʃ=pCũ+Y!-gnnGs/G?lO;M$/v߫KypAL_&y'*I^C27nH9F:h*kbh"Fv!P WYxۊᣟ{ju#'xSe 3bnC2g^Nz3!ذig2u1~#I}hv)9whFZ?%?# p S0'33ck&?'B$*aq6ȱǿz)eщh/tnP-f5?8 A4QB+Y &L3#jOY Ep=VEp7m廽T-}33$IXTScq#ckXO:C}RS>*2H0c5XMp"@9 Přd"' {"J?j0{2:(ɑ'Gj^y>` MQ"B35QA֗0"UTTH4E JU[l$2JG2|uƂ:HUm{|1sߓgߋPۖp¿cl42g .t r? N*CEBoaC`V9STzrM2r#GvDjk[_!f8:lT3 Rjhc#iCM$HHX:<"W[+t2tnac4{Oٖ_{q8,ŐW1ɩ%ӧÛ2@Y" ,t+KߗԹi +9!Ɖ#MV̍^V\3vr=jM XF" n Si0S}yeI†G^y@QhWҥBy֠iB,q,l؊b7C}!-2Jr[(ɺrr9@Om Y~An}}~R|%j+xZeZh8d ")j쩎_Z4DwPdfLVY_*LGUʼwKEoqUBW؍C@A;Imo BS#! aM|;|[1Tڗ"P_ szQ\Bw7GdKa͙ o ' Kc(xh"7fl:p1|NUNn8Gi?ߚ6QF̎Dy[aX&@DӠj1({$P#GSB$RI6~0TĊAh$9i<2#)+)s,j=&"((jgfJeW\CsX4ȣy Xzpz(n8z86di<#ϕɵo05#v$<{>5nqwrJJ^7?E(ԧ! xZ!'L?F!yJ& a\l~3zFH9{דx3}u$]Ŵ~03([#壇30U7so(!y|̿jP} ?=]֕9z}F97DVqo9ړZc&PDZci,G0QDK94ξ *7|,#)pzs?~SJAk>wx򢈂ƈ9qE* e+ȍo [)25v!%tl'ݳ EjO*k!TGij49g͐W \z&P>&ŠŢn)ZQt"=%^ɏwѤեQp{[t5nuʳ˸sQ]l f||kkrrM8IϰH,EOU,~ؤMyV;LtJ%kv.nHI۔5KU9ʔ~ 'DTZYٕKt5fu ckGOR"dfnQ׆Qp~Eo/˰V Y<6C'MZ*W1>!䔖8n w =xOFLY0[YCV+bZ(iq)ӥ7CO70v2/O)"—g/{j]Ǧ3䕂q}2U<"8mҜTI& @6DEwB47OGC$Tèd .] 7-צ|_f_ ^/`wD 0 bsˑn9 ?t`]7bs@!8e1H$KA\2l˸r$dyF8c LTRY%H%9PW(bv1\gLTsZrSk^n "R)V|c`@('rR78[iT bwZ;X=e#.;،%BqZ:31dҬ288Z|'8VLM1}>khd ^t^Vhxg3 %),DT/*D>WMG>QK+` I#%;JƸږ^R. Ls]/u8W4зHq.C7U_+t'Ɛs] b zD]R1 ɳ:ml 2}mD9${pŸI#0_ Bq(>F5PABkߘФ,!k9`g$<ߤ^,h88I#bBPTy ? xPpĬPt`#$0_(EBT}VmF-Ys,>b~&IS.Ч ?3ckXJI?мLB mE=m\|-[5KբRL.Qᡏr.s?: }s+GS^zq-<>3]-5Ӑ;IWqл_9MٝG)4E]˜-AGn󣣔&%d#2q^4_" (UHC&`,I17lN\w LQh~3vȫEҕβd`=َ1*V-xs'q  =;˚<.ç)~@F<`:s{Tȝ8ifB?~H#<($)g^$KEe,d'Z:!+.U<Wa (PA"H%yX4Gga*q‹Tc?^TXC !oE1?ve!b2z6%S܇sXz=HSU9MDlPKpJQf**bIExu~sw7$٠ͦ+;#9UlF{HUeW-s5:o+%$H' ~[#KEqvf¦lf8x5ˢÝ3ģATuuH{80%16`26a^!CB|8\%YA76`a%̤~OQpt敢}55IMܿV&ˮ)Xk"ҋB"F>BQ@#THB\<0DHFsq beTopɢ~Jk-8ۣhT)7I 2xO -,Ď8`D0nO Yz_("iQcр8!\y~/ֿ͋ƪZFIyE.pL# |n)=G^7LZmҗĹ#7B>8w-^&.}'EGS] G|Ř8wf|e [e+Ñ=m@Xs 2 YBX1#POؒ()\.^tG+a*ݷ)H!"~/fdUeڕf[LÑ"'r߬\aiAЂ")hV ͆Fm{/Őn|H;~;Y3K5ӦE|; ϷnxZFdz0q3F`o.Ԃ Eᅴ4W/; @ɺƅfMb_OB{ׅK?Zīu{Τ%VON)+uؑV=I DkTWYnt+rTjpܗy+-Gnʇ\(]l75%8$ Xzzno#*sOt~gzL:{8} )5<)=vG>4C͔jUrU,pSo=e%=&pP!ĭ:n=$\[|K[/gxv5BZ! s E 6_7ăyj{2D"7\r6()1\Ty?;wX˙vI[L;ϝSaRdD7A-A^o1Nyz)" 1Xڴ3{q:Duy7<_x8sp9/^9ԣټ^b|>#fU%yb4/zWG(/4I{I$ n'c2 $Y ɒ֤đ48BCy'X;cҫ#PuL \x>"@e&| 4" Ӷ86xF#n cyD#Oz䨆f k ;p^tO1gS0Ms>b%?}S*bgg,hvDYhq=2q,Ԃ 9sC~%GM?Jki<'9C2>d;JByݿ `^oX{90l`<[:Lгb꺎8y3*t4( # CzI6oWr!oR[x+&9S}HUmds%"aHJ/qdwȬ/wIhVoSma\gG Wu+/R6}] 'BWuF:'TfZ)$.z﹕ϟYbT%]ĜԌ' EJD_:9}Kc&J*6Xfj _Bt-cP3#3̒"u!qK,+ENg0#( Y+GO>޺k tQ0kk`6f̓ش \3v!s~(^Z՝ċV )Wp:nOuoxJNB9!|Y U)9GgeqLTw2f~*FRY*kܛ1=313GC.fJ,4"{Tڰmk 3Īt<3P`97Ȩ$"x!D" S+op639; ǚ} $8:Cl%8|ewXgk\z^;*S7~xsʢ1Eu۶Q^8'm8PX54vM15aLVŪFJp}'eLD#$a:R;jE Cnb$ 0}YwH+8d1x9òpHˑ(H( 27)WD'Xe[zM2VV'I/nacғ]凞/֋NOuJopPv$K)mA zS4~X6dilCe1ScM3h$DPZH, ]jJ |/䨚QhX8:Ġ`KQ:(ky1tK7"Wz9W?Ikd^I}8phcV T#-UPy+mZ+*?nB :^Y?lܓm SiyaVQKZDQ4J{ITBDlqĴȏfy h8(?hZ?`yˌ eI!*N-y(bWd7lt>)dZ^T @6$*>r)=rߌ;Z|r0]0a<*WZb6jF- {0Jxi/ʇOqVrsCOhI:Pܑ O 7w0عcȁ>=.1͢ԣ\VkM&`M`aϗWA7ɷ8У_:0'Do<d:hgDzcC̘"HghYdh?:ۗktz>ǩ+UB(eFGJt n`Ԯ 3,E U> BaX B,HU726)K1Zv͜r F7t_[nA[+CO_b[rZι?* W{@r\W-]z>m8)n;vEι͙KǢI5Ęn3.z|Uʁs) 3</B~$g_Ô6=UZLn 2USWB. \Ē$snXHJe0Fˁ9#3fOI6&=VJe^}*JOUрEJ߅BhJ/yOUPSzAjA",1VVI"r6'1aT5'Xj]}E u&I}M!_f!gS4SH5C:ڙa/R>b/9o.q<$ ڣXd[xhwJ( P˨  FCÈ&ҳ˩zL"7ҹ7f)N+HT`ҴH=_KY,c,u3ZIv2P W!NQ~9 bW\YUKb`A( <Fư2k"J*pjwWl*ܱ f|TȊP>ʠ،R,d [2O14;C.xAX*cT׎ lCe|'`%UTĸJ!ALң]źfJ䬦O$xbf Qbt]cDUUJ:&V LЧmJ:jv#~vbSmc%1i3qieĸ_fK:W"%({ŊU VUV_ѰVLȭ;tf1$DR Kr &20`Lōԡ c/b~n2 ƒ=\=en3K>w`\\ЯoE$U[W4T%:A .؉N0@pLv^MD]R箙;s~I佯j5a2#=q`!TW0|J. f$P2{dWW?$U[hensJ8͈seiSjt5l%`9nZ OȵG'kum5_ P)>8` Y9Gd\htb &*VEHɢښHORolAM>N1=FAyQ*2dSm.O`0ۣ2#: ?m~;XU*U`j_!&tVeZaUaDڛ4pHT@,e y^#Oe)OI̫@ =`tNtXz\є,[K,"tUH䢶(fyzM'G+Tz#VAEZq0)% ?|9PhXBl$DD7b(!&>yJdۧ'PsĴ4ܩG"pu6B!DZɓstm^Q$1" '5*W(k{J2K0tf ry9kbR]({6בQ[ n|#MЖ3B{-NY:pa3r֨|N8-+vP\i2_V\F;城fD|E9|#UAT9m(q03q wc!s> Ezo {z:G*PW6*Ɍ[P;R/ry~w7WSг "O1JcwVJ:Zysx"1:k[ދFA/N7lyr=`50qHOU8͕FtfJhB n49„($~) 8ng/Yw'[/@oR]|!2N5P0r(:ܺq)HK2%ފ^Duw|= 3H3'DL.%Qlcit5("x\mlV>.Bv0+fL h,ƣ7bfIo"FE?e`-X ⥲ J'n f.<*""Iz w)sJ(OZ؞_392qݱ l] _V7c=(WS߳psX @vr?n`#18>h;r|o"Jm6Wwhj'Ը{"}C;p4f/ 61kH,^#LЙ1x`Q? Ǘ5 DPAQyqӒ;p;[pvi12$Ⱥ,`̡><]ɘF0̸4o7W(NatLV^ XV---Am x~ADY0~XGVHuB<7=z2OJ%!PC{N ע%_]$'}c4uCt!P$X\%F,H"lV5)QLDh[*zOC[N)w_~ %J^>*8(myߙK%"AnND=M~1>;f +$Ђ#Cs~ƃIXEܡbɓMM^H}Z'lQN͞rf6u(y*nӯTpN;!whخ˹<BkV⦐d*x%y0Xm/n1jRE4ƾ"SQx)Nn QE4* 0a7bECNF?$N2B93V;ǔC1;4b73Eú{ !#y/M<~?ltVZ5ϫX/=:E4%ޔ4z\ D!Ma<zpqnP1Lʾ 8_|l~m/yFAK'c}2oEfET%I?Y1cXSp'*Kܰ^O\ T %|s1y8>PBpm\d"ƍBjaO;T%飆 xHG7[e[q ĴIkjNT53> L'c٥ HzA rupNK\CY 6FJ&FqJ}B !ŔP!e@ n xaTDAm4!_xLX]ɴ(\17$zb'u[Y:mAӊH*}e{$Kyɝ>/KUEiBT t5%YGmr5Zm:glǐ fSa[yż%oNJIL|Fj}ף6c,HgRP6'HF6D~}hgHARbRZwlݫה_UD4Zbx'mr$51V̽&//=G _9{*nޙ$W]SҜ$az^vP+R$B'2sD]'k-b\[ h0G= K`<<&vPLeI2%]Iqۊr ۧ0(GBAb>qChK%vc40<郥DT]"ީiٽW1N;xlڷ*i~IW:ec+Qu"&h*Ooui CS`[6Jr{ z̑(CH+M`g 瑼**p5,v Hڜ_ꢥV]ץ8k>[5',^e85}GFw&ZfQ'ؙWaN,$1$ޭ˴/ձ{W;`;J :R4E ;O;Gj{LYKnmMR!{nNIZb?-k/Os' r Q1uׂOc=52ŢUGԹWofѷiTHbڠ?f7@, ((/2dAg>vŲ"Bq`t)3ruAWmØn+lp=7Z[]/*Iq 8Kle'rJ]`Ċ뱩{j u\ rb9{Wmj杲`D+`| A fP^cxyԴ5s"-Եr_@~ ,F#D652ƎQ8wlӋw䰷;v1@\k`'))z: ^aQg^ωhoUӚѠ?.~Bbj5I=EXk :}S>&|0 ;e?W߷&jjjB4FʆU3{skP-+P``_ÚlaMfTMD yE  )P&tB@knn| o,^2KثMse"w#nqޱS`bSB: m"XZޫdSw6ey*I4 f^M%kYp+h{,Ϗ$NeIT!+Ls:BBbK)J=xU!x/JBѿYUYDL)i*A |8{̉'hv ~X땧Lű(Xn9mվ}J$P[U,m5jz? 79bPJ#w;Oa<< M0-u|n0eh!CB5 7q[$B3hL䅑3Nfu/jڎ4"xu N,;@.>BR'2dOİ`GbeL k'RVqg LDvgJA{ Hڇܚz 7_ݒ t_+MW* Z digk!>TI 0)s}"=T{H'oeO/!u̯ o봩GkNR7_0йf0V%ZsRo~tA\¦`W}F討؉JDWF#Jde?zIwc./f]>Nt)|;%<$!#xcU tCrd/Lڃku=9b f@JQPRvvc/TNr"x *m%*,mA7E]e̵{,Z;B/8 Hes^63k0DGx/ci9j7R/M^#;(MM:.rS245ۻȱ}2`kG;=d2bz+э?4Km!-d;}QsڦJ !.{jYF`_ZG\V E,54^ " sb_N;sr-!qٕ=8G65~_!#$q"^\&MrWD} ʣ[/J@`1jgdS:ɟ^ gܦpa~x~ !p<נ'Ytl( s)y> A2c:9c"shQם~+&JiB3 ?RDFsxZRsXK3{25ܶu&:Rk )F塐Ҟá8җhz3*^ Ca6#q#Tx~y@[t_-XS;}QDy=6=%$eGS%G16:F 4YJl,NIxiT.Jt&s"/kJy4FwNt8ˆqI֨@n.L)&ؠs{ "1hwg.lzv8 ksÖLl B֛{KYa"M~;'GC}uӁqYRJ.!Fqj")e.`t2ԡIA8Z4P f]/zW0{1G.` kH%lk[90:6CN*A%-.d!9abpV(Y xبp(c^~F,&K*`bԻyTFڙZgYdarH7oq0s8Ci eSea{ʿ]gf!zҌpS5'L2^z:'\9K^*O}LJ6 }.o&׵Sr,E ; *lӈ$#uҢ,at=U؁^ג<@R 'S o !r83sӅ|EK[vU.65gu%=iWTf~PQKUTER%1[#r|DQC1< U>p_6?wQ GON~#s_EhFݍ{1ejErq`)ӆy>eU0v\&Fjk5[e&/]<9rv$Tᰬ,$uU.+ʼoq=|4C&>QxEl}8Ih σ<~e~Enߎe1\&T;% X[ѐ=-hk/eZ5Gq61= KGl9d=f޿dHt%Uh>Y_:QA)r4Ӯaj:Zw ;5缯L\PD W99 /sh9vB GMЭUࢩoi]Dy9Ͷ {M*m|gZT$ghV4縮Ы(<ç/Gfw"NIOF=EQdj@m CT3d& 4 e2%)x5x3ش$52 JzHt2ѓȍ^6#tGiĿm g&8%Jј+ĺ1(1@ݯiN u,boD싙H'ۂK@Pߌ'tP )Dn ȣw)TNz>5Z׭Ɗ#e"npAV$$)J9EQAMD:֜4s 5ADIGxa!G4H5Yielܐ9y*>MQ3)+"!sjZa(yIlTIi3"%`*%JxbQ+)LpíWF2/ |ܦgS)J꜔^_ʿR&VU~oky| 4Nv(:%V_E]Ij WL~؟ƌ3eO$gFҜoR#"dDRw,T].Rg D_J JUգzp_ d ءҘ[ 8o3,dM*UzyL~K+P|t0@"Z%V+ Ny[vgJGHQ;t&4*M֪F/.#6&${)dR+:g^ 1/[ɢ1J41_zɦ.o23Y^sbI2tL%dw FJm@u~'pM\xED,?jh;낙aiDIR#S9JD^ƓBcQ }(Rڊ=?0C&M5?;/_gU~iT o:I)퉏b31]s+9]ɯ"}`}7Pt/ 1> |găBsuA {:|Δk;L *˚$)Ob_,oώAeJB()2wTC";+r?zo}W>XlX02/%]ky>W$XKtJ.&}(¢aDJa,\Ě 3:"YOuTwģ妊'0/=LqK:6Kƒ/Ԟ@Ӥ/mZÿ~$hWܖsi,Q˅x <Ҕy-ȃ3}*TCb㩬4^WPtSI5(-=;YO$͢$^Slc'A;QS:9RP\'1_.Mf ^$~R|":Cؖ10{E,_t-{Q ȹcBFސ}Ќf9_;|r3 WYE @ɽxR.åb"ŸnK7kNS+GS<B*8l8bi#PLY i9%Om(¥47 3,艢( I?q y1'mmA_~vUʤnvyQMH5#MҋlӥIj sU4ri3R2 j?"hW #ynn#X/dS]<gJ9n5HY'c nmuԛl4.lscvsI5KaExDvU:e^cLںJ*+.2 JƷ?8m# XaŁ;erslvGsx8'1l-9,G͠Y9bO/TCc+$baS~@a ^wr1<1a&'?iwZm1Rqe+l f|sɗWZ;Sj< ձ ; xp,c֖FI sU[Vfb o0AxCPg ÑD!ȄЄxBe&yKw}ccc̛d{*^c'q yC9סW0"$Lȫr8cQ'J ̹Vv39Gs}zI8+^kcFdD&'?Eϑ氁 dO1#x{$dg#oiϏ,\B3ō?Ja6". y(Qy)/VQb#)}Y63]([.sMv zA8DҎEYtWBZ; پ vT&G=.T~Jy}iOrlMDAI^(N~/lr;EDW4@śVK^~A7Cg'+o<"W-͞tX"t!G&eh;T-;R SdgT;AO8&iQPp2Iq FɵGBP3DУL2ʝ򷻇8#"v/g`Cla [![$T*,(#&F(L٫V䖀nɑt˰DR (4f aTc2X B\(Q٥VSa|9 |vf#v^Ij hB\._{)n^No;gpm8 |Mwt+n =^+/Ld7 zgMpL1;!Ku\&.[ȋzJI{:|,+=SӽH7j:l|q$L]۔ZZ0dwg^Ի_WԼ(_U4ރ7%ijGޚ+BY7~>$!K>cM`H^' i F 䱆_i]B E\HRPҍ$q4gMCs}3%A dH%#iǍH*c;/t|Lg$4;IP?+)R|/ zfU/|۰˛4er^xH"Ϙ!1~4~;G?مd- bduJɸ:P*ȄbfpsWl,G.hL؇|Y$)6Oa䢪 p&ta?ɋ؟3IMjlSFn ͳ=Q &stIbk I a]|+iw|m|5urgY؋Z ?6G~&44=GTΖaF$n'q&ic3Tk+ ģ져~Whq/gƪm9m\OӤU)OINMS>X'u4Fq@A(4jK~ T3*vu-S^;Vض]]s#'o ۔"g==qԕK'vfW7 h] J^"7~QDh0ew6450jm+uV^ܣEdy`5$^]$JV ,RɖK8"T$>fO22m!ܹ$/~23\KO,I(6#$}<%ܒd"V=0)H[')6T ΌAʛl'{C Peبt2f岞d7 ,*Y(@٨ŖhhB/ljI бO,3LYfkYl%0<žp"P" uƈ6\ ׻mG؍y^*[+0hzdi荝1XwTXöPjr?B{`9njy(\)nM9d¥I O3f\$MPPV? ?C趘2HWr&JxX'A! ξj y9qwKu!Trs\O(l8"|4G8F,4MCּd:P-ÏԳXd7Mb&A FPcJn%[ނP0t~)8$%,C?+оjQ(' cQ7r&`:F4d *Ң,}SI3vŽlBXOd=6Ç"ehx rWW x选qū>ݑh>> "NDK "rfL Pڵ|APVON"07}eH~ɢ5G7SpuN ITacS%M\$HHGrh̽1COqӆ- 86%*4+W3|9iG25$7j'd=4'".'d& b }3Z0ޣZ2@/ERÈt)j (#k<%)RH LVE/*$?q$ C(dRP&6Ocqm`a>rO+EܗЕsUFYzU@<5%EVIDuE~/}-Եr#j3?>סnuRF:Sh%\.V ubX{םd>c:qKQL+T>F]Xv%NS&kfʟ";*Go˲0J ps-cTP'?au?{a?ňbв(d&jzx^ 7ȷ?u'(UJ6k]m.fC'P pl(_O.s:9e+Sq 14moj zn?~ÖHf.É-F8 piΧvfLt~sez;^d"\TnloQ6f:f=7ƓOG,k`L;~t ¤MXeEG8-T\}!{dW`С1ҭ[&͙վL%!5g! 6# ֱ H<]E7M.H-טЪ̪\OwL{@D "K;x/0<9 ܗ(ϐm8hQ{.Kp$7򘢮y- LNb0YQ2znWfhPt)Bܗ'Gb3/Dd,YYqnl:yzNI/ nI%S -d@uTgӘR=&BN9M V&4ei:0PWY\f(5_2-xBOlbIìeUJ;gQ…D{&S~K{K;E⩮ck,:؅OZ'ڧy#ÞGրD|(;(H? ;Λ:Tu}0&\X8"z9#~=PYq('8 \粆٣{⡴ e".rjSXmy*m7hԥpX+"D~* =?P"-isoZU!&qF嬿-B&]Hbj:"UBWk# 8x9/F6e]/tI0\ xN9e`| ?+R|6hӯ~> 2.+6&7CﺗPrKRh' 0(}K(sM $Q`, :4c&* '.珈jp{fצ)-ʜE|0@[ܖ#/S]̣݉,; EFTn>Y-QK<$_ڸ.x( rl=&~]*՟m.Z/tcG|V9H.hѸ3wHY}CPL?a2eEܒOvNCY$IXVLY8Y.,3lg AÊ$zHGlIU[@8bJ%;I B"l?f+FTv : fP'1\^ƽUMZ]򷧊 :?WuX} e.׳ Bt:/&lHͩRE HprQHJ['IcY=gIEPn;Q^|Ea{VM.xl[ZV/icnA4_a95 ˣuʂ/J۔y)=X5bfw}i&\͍#iveHqqk׆Q;BV 2iB0У:!0.LwM 9}peCЊ?^txE|L3ɉda B,%HIz%bXD%[k6bh5_b1*ɂ~+c~s7#q| ѥV3r7J[Yt|Ez?Zf]7戗ȐR<% ûY7ϣQ$)%2MёD*/\Y$ի#eH1g*]A~cHM uD)HB:*&] FrH.I見!0O>*xof$ƆcTuˀ2S\Nl˹W_"^҈JA!~Zͧlg0Kw+Ե;~ZUldS$md!MDD&"zyR~|H|-ХZ^ʉE[nK.'S8{{Jrڭ%T*+j_v fרz :}_{>ҩ:WveՅ @>g|Ś1P4aa/$ ӔkgF`@R++fEt^۟'GB*my.׎C8sr1c|bQzc"},${^"m\1HX1bx$qpG!LYyU(6*gmI׍5&6(-HWxv.uz:Y'I/a$'vڑ)kxu-vUs]e"fgV'5ʧ%*X>*@Xlrf7Y"RҌR+zOER6=\JW?FnKbF>H(%02~8^`o^b+21S~VrQZ+٦cG$*`0-T!#$rv6'Ӊocu.Fp1>?nbzV'R!٧J HAy쒕sT%T\X)4gߢ*~ѪsNC,nBDQV4͛GXH>ڥ޷fi묙R)¥C<޹/㨖]ж*= [?#xDT7_굓hT"7x*SƁ&쌯:-eA HzHj!֧7A8x"2(c,t=C&n 7g!gR,G XxH$J'~r8}=kv2b`%Ž|بt8!9CdG}a&眅AC(s}YIu" q)lY aF۾(T>BZHù<^2J2PG !(wL< zo[]㝩;TDNŗ(UAähT-byBGŠMf)e8tf]qF OuYz-cP.XQU'ƝB7p ̮"H\BdL{Qt9:`hM) [K6$֓6O&4|RTr)Ȱowtd$4|2)3g쏖H4FZ1I%:w¤OC4 L ."hK^qEdpxsK|-bbl(_;z»ݵ%EPb˔ r"xurI?O&oU9$ػDrb(_b$S8ő\i::gXü6㨅`nJRQ_Um H(ȺwF2.Td[yO5[pՕ=OW1'o5㓇95D~ϕ$+0W'{y>8`{rh(Y#E1vTV3DgFps}X>K tn'IZx;|J6yH-ɞUTI>+^Q 5飙G}^Ɩd+Q*JQOWqR( O4tذQ׸neP6޴a_c-4swB32})J=t,QpTЭ4EӋEK5Т!XrRN+IFtD8[zoRI7(RNg?OStrB rk_G D]!`ʋ.(f`wΚͣ pFAF=.—yqͬ"{ !?`ǃիRrĊIEEB%P^yLILkWA}n3U6YǵP@`Li7FdBҕK S6brDhxJ.Dɧ #y~CR7Q"|m>r#'x3 :ګ6_).dU3ͤ. 6~̔dR|F[aX\bmqgSt yISGkZ'QW]QԷ2ueB8mZ̊}LWUVDwe֥FqQBoU Q!"BٽdfwD8$y2-B;A}(эǙETH#\hWJݸ5F6 /Ucn[԰~ frq&T  T]˄C:!38S6(d89+ *9ȑ(Ț'"9 zA4qY*yg-|6*Aid*Rw,^vn15:SXbG!/H'Icf]TF^!IgVE*{5(˺6 V i5D7ePEhX"b¢V̬H)RƾAEDtZ@٣("EH","+)#*(7h#sL墔K)j3-kM2I% Sن4"vSlv`m-C`aO2.bJ_}(i_C&#)RN4 7zG"3_5Wzcӏ^7 {̶2?% ^j*NH/hSBAB^%| JUUH{PѯOUHi%Aq)v޲,}JVob*ic%or-SI"5rQO0Rt|ZŌ͐EbRȍ~#Ajk$R$b2I Z_ DI09] +D\=4DDFxƧ/ =Ef_Fl -u3`~&ǷcEYdj6}9L*d%ɚAH}HqWTDs %r:ePa/i(eh3RZ sbf"L--jYi$홳:Ghvzqڌ [z|& 55J2^^EIo#piiH$Ȍ'􈌅"QD'nPPaw"ypfXҮ+tPKɍ[\'##;Z.d0*'x*Qd'"Nٜ㾯QXi%z‚!]zi'Gl׌;ǾNǙeO>tᆅV*#CLU|f`̙e#LȑƗh%,`K\ ,gE]#"2,GF~P~'"e'bx :˶|Bˇ+7}w(8_k 7T$ ʵ%)LFKD_MtK,"ECE@!,N.sx"clɩz*rbP_MeZab5K'Q37Ԃ\!qoI'~^={q } ޚ]YIPg!O'|-sDqk٤Fc(.pG`}^$d]AD@*r: 3L?URaJu¼!;P)AHt8k$G;&l\Fl6QNq=ټv PTt6ǖ=T^؂ez"pEGB*cYA2TpNw|;9Bb!c]茍RelfoF```QC)P,gBr/apGDT OԪ8 qK2ȨUno<$Ɇ;s]&gGnT`Ɣωc@^ƆظJ~q7YWu:FjĎx/זiRzxgk/R2>By,,w"D3gYp¤$Ows>\2hNX6X-o SCLjSڑbɚOQ";Od*U;'`tU%de0Ayxx*rO!ɠ$S*&M DDX!$ݷF}j"gfzC~< ݡ/r*z]ނ30бxg;K)tIaгiU)Z3΄֨e)"]W'H5J#M-.A){j[t7K$ !%ɚ c"|bwk[; ‰Pj\S\ &wFK`(g,ƌF%ԡTrؿ})&mqRIa] E$ut޼(kEAk"@("δEu^b" _kEO!{f8}2@.ڙ"vsK*^ڽ)Y7II?;r+"9茤 FZ~o)EuУGGF~8q]L\H ڲj2u_K2p$^TU֐EB L#eV{R F!Lj{&pȑ{q%f''ȨWy rqE9sc|ь߂<,KP_B2;TUM ~Eh̐*ࡋ"l37iQT<31lOīȗj>+(Xmj1RB#"+hk}H: +x#`v3ELvJGףo+rf#P+x3_ Cs;%`EJ?^W&i@sJs^L\d-V6q[jԢ. 辄5EwbѤ^oQm2}zADF v] |Dx*<rgBCsP.{~MyU><1C**tN Pk4C5$VLLxQq A2EWHH(0e\، (ZR06Q(qȃx{嫙7⥻*MC,ns:mRt eu#A }mGXf Qo-oT\(bܺόa'+H[~)ء+->XG03eĵ4CXe6\vz7٥= Aor55?Lʐio N *%cn dBpQсj.|OeB\`Ll PK#hEpa a(B@P);򂑛~5b\^,ZEG!"߆eGM `|p4 A.F޺la6ʗf(*̹#*US^u%"[Dxf`>W۽ixyY%a":(7ĥ$ڔ(r޲![ ҽ#dZ"2i2eNfSX[4-LƍRDnhF4$ez:"F+0ϟEV'8.<(+JaT,4.b?6LR(WDxzNrNtS%GLQZ(Bo{yqվBwٗNW@7KY9(lr0KϬkMmL>fA|A̳ۜ,dtʶeK8Ywؕ55+a]4k,Ls4uiߌI?5b u^XY6DA9fpnL.̆ġC[)&J!<9z s[zׇFnR{ RX">gqOkC~u\`'hz`BH/KSWQd0\X؎.tlT~[S!nDĐz(n+pX 'tNJ fةz yTљwv>,8DE9HI(U"["p_"#@%?!?ÆSM#6/`Qpy69Dsr1oe-#8TM:fx nYLK"i&qj;ab<+c6rrBƎZ*PM]FGjdC+ I &2g/A) =YS-]N./YJ RF ,4 Zkl5=)&̢S$*YEU'#J1!׳ѮX^g1X?r"NFv֛"Z$MuR]:Sߊ;M}KVmm1 槏)^ :-ߌEQDl9˸2ÑPvQa|>Q0 cx)rIC %9y'f[n;X-T0NXt 0Q2" Wiv9UQ֫ROKNZGIYPtWaDµNj $d( 4F AA]d."I\+ױWȡqqw: b 9273eG3tz—(;Wa_#7dck3D}YűGkTE sj|?>27:SO+"=wI4K2,՘=19ٌ$3Dfh FT)naBUwehq;t8i' /}3:By" Ӟߨ(U&c .EHC, 4dv Bʢ"$%?9c(UKlV.1DW-fQ:$Bn\ƗJ%FNBo oGJ6&FtjWD;(We/2 QlsRSUG㞊@|J}7gYǞL3g1e[j#LĂ" M~Q٧{o"t^ĿI˜.\ǫrTtW:_z< |b*d`*qGjb8eSLMV6+lKQGSYtfQlF9 qĺ["Rm̓0IP;_4^k"Mį@k`'U~g 1Y􍷴_`mc^Y\`Kdwa)iCzGqB:TI#,mdbe*(CBEa>:%x 2lAM9'tA4(o|5qaP9Y>XBP$Ϟ&3DGB1QP4'Q#HU=V^j~e!oM* ʷ,ڞa_ЭW&O" v7L$dG_B8)r)C"|)2yo3H\E-cPX^(}-YsR^# QTEQwW{N@̓GPQu{&3G=9%:7;qN׆:ҍwqn%zM g8n9^<]Fp/q#;OiBoȕVA4l[$wY"$SbXޚMYKZ6GH%LX.45Q,bLRlB>W,,(X[C p-MHCdi?*o.^1d] 5W; fTn#GM "f6IUG"Hmlfd2 K$!w!zW%>$# )+%2KT2DIGQ-UALo X<ފ/i㜿=?K0XS ή%')E(voQZU8SfMf e,PZH$}zQ@?yN)+|U ȅTCﱈ7 ,.C3"#.gU ȅ%_ۦab`$b 2:jAۿfE?$V mHݴ͂B|9[ dZВFeQ 2Q=PԄ0b.gT!<[Jpij!Q"*OYm:##Bˢ6D^u0d;PqE Mok(jZEH4 sU (u;N"ADPl "lb$xRsG ubS]D\ܮL3! `к+xiК$cL<߆+p)26$E\~ދ/^'ߛp7grEHŏ#D*9٩,rhU2="UJĿtm-ڳh3"< 1"OJ.y9{ ,C]d1v™YJAOHک+TGPpm;LT̈gce(b bq4c~Gs,&gl4i1CwWh `qL39pdarzʈlсwJ1!(d1B)K :g)y*xYG~}Lm9ud&Z6ko`̍CaQ/%_>e6~34`>OcD,F#4Toˤ n0w@A*X͊P]7ҹ=%[)UfhI"t 8p7: NE\ȍC`Y 1 mS~LX5?˔OQLW[\,n*QpSR JsJݷ$<40\Q1Q"Mҥx '*B)By l,r^b)GSxp0g~Gδ0Fڜe&]d'Yԑۦ% f-}lCȡc,T2p6'пQXT;~h^g-Ͻ  <)|L*"t|""k#dwj11EGQhBORù47ҥSbzAt1Zu%VlXCTw{ϯ>Di#llr|k`ruM/f_3[|j]c1$iB(cV6M#x^c4F2%1nVMBx"v|*h,/ Q2 ?-|4<@|KK(9XQ2&^ee".ib"rQr(,PnC|}%׾.'K58oP?%U^]A2j3"ˣ<-‡hKb-05Go7'N#avNXdLf;F,P ҅@^$m*zৱhP}wz4RhIysC~ F1ײ-U1X^2jYֵ{f˜'VIs rI7'DH 1MYjJbEUI&١gr#`<קH/>M2 e8)`:z⨱(JU5Ɯo dBb]B~.6M^0U0'0aPBj("Q 8Q(s6#C4<\`ݓ\_ H7BWPJ !ȭESD|4M-1&J}W$/Ȉ^GG1dT8lP2GUy:UI?"'5 (\LEfeȏ I) 4AKܴU h"9ȯlbVu\|qQ3bp K"Ei*Y^  QnbhUUB:}WFAQcHyIH+k._o͛90AB!%jK.ğ.wfPrIG6mS}v+p۳M.{*$9=P EI I REbscYOĹ*hb C1H=}V cr,abN3H˾=Wߦ4*ԵnJam?xSǼ޺ZDhk׳eHezg!3SD<'BtXPH (a/xX"gzi YHa3k& O3bE,bRG#-S<bV>Ű 3pGJy5VBLt?j! J17Jb͗rBf:TێI;y{Ν 9==s)JBd BKPw=ֲh9f8~O=O0[Ì=&fՕcSS@m=[uT& W!@J/.ngJbc٥UͲm֕ 9i_l_,og#HDw_9nQt>cklXsɿ+#Z/+^_T>lO:_5 ꂪRDr(ǡ]PS/s,jQ,TU:jzSеr$ -PuL0~+>h8"YVoMF83^c3֨詓;1G9Ɯq5Cȯ26eEqതbcψ!,RK*2UߋwܤZ>˝CBwkn; (f}HO[]ZނIQ!7& 6ڷ^F5blxvCK,1/P&߿:L|tL,L~߇!etzRE.cS"|NbYcOG[xfYmA?(Y*2 M<"Oan/$~xL3PHTxϕFz+U*ȧdl+zlp՝z1GZ]9'SJR2Ze.-sgkPFH.\[; 7w-dQc+Hy26|  =xoi` ?%ie lDz)gwWu]E"֐(DU>++BEj~L`jGCGUnĎ]z 3pK4^j`(1V=}tkXuWc5 F+^&N4 C S] 3yac2$75T5N卵Ͱ8c4/W 'ƩsP"auf_m,b."aS2lFv8if*s^aT#%/y8\$70#SjZ7q#G-X_y ^ uH<(&9w^s:&7P&d\ḌǷh+Ɉbп<}ezhDj!@Cwё$G~'$U2;χ]G}[YG|8+ͮx/~Py/(RJ,D/!,Ň*bӇ[]򐑊ȕ-Jr|f5 I "-.d_++һOsƗB({Rk=SB^y(TLr"fXUKȻ4z3%'}mIA"C>c,\TfS"RM@GjLd9C$I)/BֱG^""3D KD|X `"Vͱ?Nfxn'lw(p̾%))$kiЌZ_l޻=~w mQdc;3VDw%>6㣻,|xE$FB~Cڽ>~AƈضYq^ؘ /9lf\B62ڨE{d2}}=gE^`JAB * 8^HwJ` ܈ǽð;AryD*-?*=qQzQf},/.FO9}:*MRI-3IR8澨ȍ*X ؾ/fUt,*uE~4K똤%z!_ӅarF*o.9E)5J7OsViXL|ͺ!V"X8f<.I3~ъ~톡R_BHNJ٤JX*$kH}>bRl`RӡC0KT|0jjхlW:S=FEuO!_H%EnИE{PH_ء?w!^KTZAvFBldQTU}1RH2EA7lZѽk(;hNPCQ֕bdjM^mFi '^X7,*fٟ\!RύFru `Ӗ$]{?1Bh"]Ε2<ɫFCGT=DI FByhV_D&c$lVMZgάb4X~ N8i7 녔( FL"mq.Jegy&ՙ$FXp-Qd0YHBaga>U->8ʫ=V)atbEYu7gP M;z)񗱁4dU܏jÊ?QB A( \4m\R5EDZ8 J֎2Kى׽eg)wĄ2 kGĈ '+8Eef! E}Dq3d) v-3HK=' $Ye-ϲ-3Ev_e*wb[;Dp1 wH!BT\fթRD !~vdATB$fC9'3m+"FEk|$+ MlR*:̈ڻ~L;fXa4>at]n Vy^I z;% (}8Ǖ"Hg[Mzhh}Xҿ_S1F&YjL°S#D50t/eE/:# &@0+:>^3V3Z xۨ*gLK3M6gcmZܒVX,I ތ:" Y{A{.]#8=~XŅ4|67CIЪ7BpT4UOEkXMX.H bFy H-13=%d P=x\̑u:~ڮwdDB1[{: H)25+Q"b"xɏ|_CTQ.&#@!K7o(Yu_r"AEk{+m4Bt)s2#A_Ɏͻ#JLZ$yoaiKDBocӗȵEmP"Mh]|<|^=mSƖ|S[:i. v:&K>%'K־I#h]ýgZviqI B}uUޖ6-nGٲ>.ZN ҅^Eyh_E] dJɛDeEDTUF~#9 P("ړDq*"VDZ|gqEJ!~\Hͤ(Rb#FR[*T9g/lǞ_\n Q0HQnfA:B#7e (ìC U 9WqB30J&ƪAE oT^S:*)qv +21/ +ԫPV!ußLG%NnL @ КӟH?D+Ԧth&EUZO( P(OِٔŞ{Tb5W~ I\0?*d T yJyZ2c$`n~kO\|2AF}5E|ڌui1qbmI1F7\U5A[Ё FDyHLynq"VʹRǘ4FDݛf 9 =EV 2uE#`ZN=@{O-XAɤ+֛Qf *2:\9 8150!F72rxz|zI.ۙ\{qԩLS="0ÆYN#C"19c?`7υSiw#]c8x*ߑ,v-6R;l#5xyʪԑ@/{bHXʈBkXdѿaip5-PFKzovM+vY!Dŏ>z3I]לݤk3y BQEcN+Rg:ּYqBOU=#EޣiKhiwT&NLл%J>i9=Bw׮nǜֲ_p#aVmW%K3+rcbLBMѭlrH+ҾY'-[qWlPjF7O,1$pW^{,Ǿd pK\/ ~+"AC}*bgU4 rE!{8۔n.HHWt#2a=,GEH`ە8R4 Gh㼹[C?0?n.FGx[&w*Q=5YcDzyـ7HW$ o9J!c{D,KjN:ޥ0:c>f娬;MP'))KDfGDS^Z%X#9 VL+BDkjJCg+Iנ4Z7 `1***q`ksR rğISsr\^4'vkf <y+ ̉O*:\J]Ea"(R!lqS+WA9iw5LU(6.Z8 +b7O xWѝRZXĸ(.gY0Bde^0KДhrڵ#xo=ј;b$3+$XgĊMEiiPi;|sP1j晲zV>{@>W58*a3jNRYqz{4)"nS8:R~B |X QcDf pblv+{+Z>DCHłZ oԼajRLj,AS,1AKj vx߭z3-Eaġ#\m`# >q9J?0{(7oazBv?Vf=Q!I<(71O "ӘzT‡#zdoc1EEl!JnM j`2I#">3V&$T(X/)&7L@+} -7eShF)c2Df+}(αD=I,ulrY%Y3 -NHk;%JDIweG `HAxk8f)#H,ZW wt*X7΢P˞ iZT!^h3srSؗ2*g/<+6jy˜oͫ6/l"' [ՉJk[}U"=JWvaQ7(R|]uYZoKfhԱTظ"d{IG̟"t},W92J&r"*嶣ғJz]vVA/Mw΋qUg|" 7$R ǣJ:U,=$P2U^]kƽSWiQsH]"r'Lb1"l˦h$S-!?U8x6]Kf|,: EK:X$|s"נD_$3jν*yYV3Dr-xn* /~Ō'p j*L>%W^;p[66U$'|³C0T!#)* N1f[#QU709K1l{Gk͑{j Pqd2ƍHh4@"_=({)?A >c׵St ̣)~a%Bxl{급ŋCߣQL;L*sH* oa ˑ'9*ڻ8%t$gԈ|h^"H~+NXW%+Ѣ | 9ʅNxb/?V&b"*?R9"KxFN2_K*2<q?VGJR5y]#EEh NI>ŵ"?H,2: P(+9bX̍+U20j?..i Uaz%CQHc6j"⢈AM8}KN9& 2)&7 / 'qQFE,q viq)NQ9\LT5Fq-Rh#[#R)#"ۦj,[tύZУB?4QX\dR D-ro`/rfQӑQOW'XxQS^CO XnҰĹ$'ީ IjB">:Az(5;2 ^6K##Vh$|NM5/P]dqq’|A,>*P+*c6|RW$ ̪8̷dX6 n:PqӒL ٘nN~*дM2iapI' "pDe'"G.o.Oߋ梴 Ǥ&/ʸlWC}Ȭ6yb lSM*ҏ[=r۳,(6|-iX4g(Ti sjIUnt9[ITW/(I-{"s K SF TP*yHF(BTDOYFk$_j"DW̛J>jZbZ'dѕ%1ESUvmZMcHpB!+B8HU"xރz}dUDn㙝l4<9T`wNxf6"p qfu# wOsCgD||X0=q9!twSwBC`\2eyX%̔BȇO S$AAD彾ӒgY:$(nGŎoq,f%1gH& ~-fW3)7⧱;L5:;(äef60mg(bZ P1nx2D%k}M (]Dđ@*˼KJ=O1JQYurT/8)cMq C&QR_(Z+ ÁOI2'&մs{[O4fZִ=P&.V_ U$EhQgJtUT+WدM(]V)Yn* =_Q*q !<9+G hFrk'Ӊ*$j 7Vs˴KynV[U̩<#B>/F$n뾨q V&_{ZPu0~#Td/6c(QL8D` s^JʹXMt)6#i75\ANȢY6_{̻j%8z~ }I(qSumoOﮛ5Ղ>H:9}m*ŨvbQ!B4i{L 3L˦ ʽ9ЙV1U$}үdXDYeġ*K_V=$ӅaF C9_{dH;iiF@tϡuV:[ؽ,1"y_2:g4Tzb_q0dxArh^%8lX*HSjC#7xk@K_ľ.98;S1#qdU^Ч_؎2\6B#DmVc4UvD=Ƙ1*;GZSw 8.EVb\FZ x %颚c@֔DYևԊ9ȉj2,ږu5|u NuN+4*$~-wn3#ډPN0σ(wW %h*Iu='y9#xl69Ұ^}3Py at̸gJF0n;':&w5gpؘj1,MNU;3:d*y.CE^.JJY:J$ijCU2Eqȯ{/znشӻ;M$QE4-uߪo% xr)> Ŕ|oߍ띰Ƀ<#}qCr|ԡEM1沼2@juHq<3fY\:pr"Bs'`;*b7vdJ3֑m$ID(e5M\#[55&LEtj$KC"0hY4FɨSp=:rݢ$(W(ke9 olMH+!DH!ANE""T?*ɣ=jR׌#fiETP-lοt 6d(~(bʑ, hv_HНRxzEcSdkc>̙vά"TY3k+á@2Eekyj3ety}#DX̜\vߒ S ^$=׈'WW5D]ЬŞF^ Eq^=OɄHrd{h"r HhSDGٯD0wJeR Bԇ>~3&WorE<=% ߓ23no4դbLe \%Ʌ6H;v phI% ;E{FxtGq,YƋ 1T#,Qh>oUJeD\qPn86 7}?ryNv]q5L/ la^m2jLU$w"$&mS6KI_gOR VD!Q DgVd2,U'Kj҇L{vS2*0/XαK&:XD!BΆ5 P(Ce_rs׳Q3qwoQ/:}~kJJ?H!(.oHrO )Qjr:Iٌ<ÝF3⣸J#g8yoԒBj݇a&s.rvE@ (A5X ?pSHspQad*Zk0nv{qd{VL˜[FFk6|g| #V~Լci8}o FHM:[MQHe "۰Mx6qP1[sӕ[=9*t_.YR܁Hdf U99*Chs43z/:GPmМ&9B~+DąӸuƓ4LV1L|0C8go}8lCx{Rߝ6cH*ƻn<>I_&!AiSZkD > k*iAtdf-#AaA^$k{BDbD%S~*T3J"!Bj*|Jq[l$vQhR!C1L c1S1ĤMyPY;{*:ryW*XȲ1ZřOG)(%D) LRn+?eds')F[%ڿFT|%;Mc$GA-'p4gLy$v TR$s {v*ٍz|/pL3(E;JpR\LsT97ȸlŰP^cLB! ~k1"BR߾)~ `\񛤵\B!GEv$Kڡ b.d'bF\SnH([S%jJ"!rvű}rGޑK DmDDm3o㝥&,"@KWa+o kO"!p5zDMeOfs2*`zDe5 Q i0(:EN9,J2RT򔤛wlJX0r.%+>t=XPZ艳pM⣽x^0NȐf=6P$&?d$Ob*à^Rh[v QCɎ_H\޿B܇eE@勇;څ&YaUh&Yc۷Maf34a.E:{Àok&-ļJ#VQ}yE- Y3ʡU.lT?нiCa^B%b b&>/=SH!p}jy016INJ/9D,'(D-'q ͙PNs єtX6GDTqO~<`M  Ip=) fsğ] sV0cA PTEf6e*k {y5$Rn2[:kvZEEDU5 3x}8^YKH&"dExzs kK"+D/QZ^šk#fK]e'XP=3oN2Dq&̔Wrrf~TCRܵ ʎ-- B'(luH| dgo̕2ةG6 @R]Ob}jcuB\PLI^T XQCԈ|}ZcOi+OnkަKG?./ڻ[ e$&ߙF[N^le\3MYpFq!ĆăFǸ FtԖe3liDDGn{iRV)( AF{sh(̖iCօnإ*2f{Rr A eR}Q "yQPݞ0dtuoOy lk•brSEٛJ&A<|L/q(rfDp9#Q"#:)l %`Ex^L6i׷i.H8QTӒ4O_5Ifˣ|rzn{*"c}d&G( ׳~ `X* F@lnJqb(dӦjKE*}X+h.V&!{ h<1лY1?BaVYnwEy !e QC+DMքM*xhS$z"/ }qRSR؆w >@DȊq f#; `}O_캪#[i0DBºDg`Z"/P羃2P",cDߝ5"s*. ڃFkk弣ƉꚆ skTuJX'xyN138…"x @"Ie¨= , n㶻nT?RY153BQUvo{)$8a hwh߻ YɢR R*#!'- rY07aW]"r/sU/2AmQ~)Q!Ms09m2- ؓdîv䞎=9EQ'wQQ$H{d1+-ez, Rb-y9ZyWLY>K".izSڂip".h+ fXg}y&)i~,2:I~C\M =7/؅^uE`vv 'OS0@f y.xR쟔](9]yE >֘Bb22AQ-t/Q'&rƩ\RdZ~fGiz79y}x ؖ&Ȍ[)tD.T[Pҕ?0.| WH+wY:"so{N+rd_x8Ry%OaZh̙HI=T֘#y7I\~MO!d7- p3b}(?y=7<#rA(uV[e߾戱_ (S椸} \Pc!FȲ"`@zE9 c5 H8-AWjP q`ֺ3Q$|њhN !A ,/SFLP]AIO]-+o4ϙcu\-"kλ%(z EeIoEwZtb4/=hQcT5 Jl@Ȋ0.N17!(Dbr`\pLj S>BRBUMvL鯨Bx`H,xg0XqD(PGq̃62!9I}d?!N)#j":"*^Flҽ3 8TDe"51TNe*VQB@Π aMK!SP8eZmJ±1~D6nmdm T h$ĝKQHZE6Y2+a"UMmV[i)}KbP̦o ]!%\@G( {6|D=c~(5 |%$Y H<*(^fSE#"R"qV7gyDE*#SaRPB7QN1-Dte<FEXQg"eERE>ŋYEq$$j֙RN&+Se6;cQV z3e1Æ*`o>؟iNGLۦBkI5_{J*!:S(e =EA5U)D(Pj!e?UGecAB쟱Ӹ;mIB VLŐѿ<21VM~lBhs.&k)h%Q`|K$ <ᢌD7ʯ#= SQ`aRjcQۃã.(R^:BKБн$B#ǁq;_&fΣ_,%y=jB 90麄ˣZI"ݤFYRPeH`?KI>;afEmBQBrfS.Pi 6#8~BKZXeA i6UMbOW*I|4~do#ude2zJcȫ+"IB#O(S,="ȇGL{Dx,w6;X(Je? $XYY:2,((U qYO_U$d䢙{p(EQ+ 8h\`bT9|825P/bM^|7*Z踯EfH@tT/4 41LvkD brd HFnVu\ݴ*%Q$\tDD(PGd$Ťk@JAU ʁDWZMhU˫&4&}z-xlX<Ͱ҉mj g:&zx]2FWdž]1Å2ǰ~+E@; %MP%.Ez6B&EQ+?3`~;:(2|5!p7[duMdPdzp0?<)frY1{u$#r tt#4*?:B8ySOŌ߰ńiot';4f]D"#Q^k"U(^"aFeIDD3.,~v֘5JU -H"U"Aw H.Х{Zo¥$֛(J{>&d;'vkҌtrIbQ]"N_csr@Wz'=?M S=YLbDwףxi#".3<p#8˄Dt.b-ʲv.L_u:LVNd\twUȾ(j"A𮪃GJ. )2nsܘvs2\I}QFb:!nTʘg`,jO]cqFDdq'FLbWJ@|u/[j%P E:pbP;d c:$PޜG964?d2NX?KȌo\0J|Ih_1gK T\m٤WDI'Q&`dw.BI,xrIG$d/pT6 I8~#Z#PX ȱ /HAq|wʍQdL(.0.HI"c񈨽PX?kzc2`)ͼes8^VF*SF]Bt*õ>c8:(} CQOBL+G. 9WkvJuڲ?gȳmzAk¸1gѢ?B@ H5U k| [IȻgrёD:SDboqXĊl3TFEwJ1aVp!~Mˠ qXE!Asw+"wbbj#\4q೉%ƿSRqR,S-cSwz)TCZ {xYi}TG]0N*U*)6BQbtʨ7 ш*(cH3,|XHn:`QסXйӞáZt9+ȰYԞQQZ.o[{#NH zKpc|Woo{ztRk\-R[PjБ,ͮGWblj6;0{DFKu%ZGQN-IOx!FdYJRf_ E ,CTrYGB̭Q oӜvoC( cWjYP=GʱwS,y]41# ANV혱CpD;6rF&c˥G9~:ABh?" Z BZȈsK"ٮ]4`z(2tvpȉ/ nňJ':#!xi6XI ۅTC$e -*2N} Dž|. Xc5Y3i BءIiM2:G~㒥dXͧ>nB%Fc1QQS,bISrΛ-BTU B%@GG<]|9mrTԖpRHK}Y5qd#}Z/Sg4E"^@X}6 \XN1SjA?r4DJ!q}\.k]z3RBeUCkSDޡ tNLttTvTҋ3;{aJ}g7h*6c1,FA]DW-2D΂"KM0IV*nEy=)S^imp2KeOfbʭ.,8 w,q[ƅO cׇc1X1*ů$r~':J7X*CT(ḕ9Ns@: ސ5?ʠLhBZ<7~'ӣH]El֥3KԪ"Ey{BǥS6G–#m%;. xȁCD[+bgt!i1j`bsSWhj 'QFEg3bn~RXibâ-UD߇MZQ1KW$G2uI%2P/RJ6ixD}[$M-q䴵n3HyE}0Ϟ7E',h$H`"1D:Z#,֌WWdž93Dś%Q(*k`Fm牁M>Ga!HQrLVFH= A N\8}ͣ.u6{H#k;7Ĩf|#vBq:) R}+Tt%d\1ndI6RXs-wNva!P͓&=c+D; CMrJ,G d!BsVj*\~++OR”H)Pk6( XᎹs?av>KMr"ICU].b: b(nU0"q,dH| ][8J'FZ2o-Ȩl%W6FkaQk=8#B(7 YHlȫ= 2g\f45 %:5ֲ}p0C(x[dN2ZߵN9RI.2IoVgDc@/ܦh_Ltg"#amB"+) $Z^V@յצ?@e#5hN+?C>_B#RJm]W뻁r\i%"TΒѠl0TzO7'dRMq)ҩ@S QݕD?Gv&$3\Lh ܨ JJEܨ61.#tAk5OGR1NgMm4N"hRȉT(BIڎONNjԃgK:ꉛBT&chO*$D3r?i5?$'{$Sme2{L[y|kJ Xç,;Vg&* }efR%KӝX|:§nCݪsllV)VF Ƞq4b&0ΘS$4&zrqZqGE>TTQzg`TEeP@K}X sC:9̌䦥GZ!yDuڳx*j*jUp9= |pF BdJH >drmc7DWaGn2R.<cVt[.pR??M׬ID)  ICaQȃe71R[24:O dU5T[bsPK`Izz##vDM4ױ5EpR,#uZDORE2='Kي,苒M|B!EF (#W?߄q<\UΘ[ِB_ܼ&7 f`{Tg(G8F-_kt[jB n @̬#q~}hÉCH;v 8WH@PVÍ ۗ2㰼,Zg!ݷ f֔7)t-mM*olR>OMDߵ[;ÙIV7p)X^Q2OYzL$3, +`PaHJQau-I}JE`Qa{.jָ<ɱx/܁y\h: NoGOi$B^Ga;(JEټ`f"U\T۪E~$drVIG%3No6 A&{8i3B{ ]r84#!TGq?VP23z| L+3%MhuFE$X55wM-ߚ'Hq 1yFyv/;ZlɚrGe\7ٖB!ֲl dMi_X9sW.岩8aK CvQ 2NF*QXĂ!V|)!_C}=y_:4' :9}14\l]Wkr+l-XB ()~;bX>$y6 Hr { a>,#et2P>DL+Z.T"zQy*A^)uzѪ<5DYrZ3T+﷤Ɨs@QRԑ y_zͧ(gQ|?3\.E!HO\& %lD>qPtOlQ}:ÑT~ہѩGCsڶ,:9i @$x 0ѱl=B! 2>f Á#8$q. 67◑D˹yU~'b]jYKc-pRľ˚R Ady;􋬐V_jEENH._ A&ФeF= e1BNн>/DV4r3bмU2*V"5BoO|h9\ԹModW{{?IEqsi3dJòs~CiR|DG u|P &(MK9:?aq6 g%|[I<'(GtЖbH8?% IORE$ts?3ZY:j3g+^[7OKzfU6SQ"+r5WJ(goe sɍL4>2 yDj}#Gqd߆7+"g6;2ʘe!\g_.]b2!1uHhRlMXxwk՟w`F{rIFy]ubʹ.˚<i%r@;"YH*5la-o%%tK+)tx-.y:E[?'iXyHF7'(򖶕#t._A=Ԃ*yW-_7-Hɦͪp :| L8A&\~-qd0'9 ϙmv!XiR" ֐"MX|G?Q^2KKEŇP%ݦAK]2BWiP0NUE (&yNck ;w_Bz2&ZZS3 {*#0E{ JԗUQ8f~@vsMFx<,0Bȯ64qx`MTZ"E]ڮV.Fq"?ZQf8n#P{#jXKT,$pX1/馌oh*r$>}삠YZ(2lܯmz⚚*/A뤟 !V] !#yE-9")S"&u#6۴7Ԯhӆ"-J% sNr"0oyʵmS:ނPҚ/1v/Q 7ƬL'['&91JYz1/i~ڐXq rI!/Yg sJ|.R>C..D|CkGn܊ }ILjxFU +c?FEDJ&aHK|c6Kav7rtE ^0 p.EAygT MDuZ)cJ%@D.Jszq9=áj*=궉EC6sTV*M0Vњ%.IR]%ĸ/m43n M~u*#i#'79z$ӔU;F~Z|F 3FB4cn0O!SqYjm .މ֑'3r%k GBDZ#]V߇dJQPHܵ Fᴫ 6`zZ_I3q/F&MS5-$#!#NȍҌfOި\4 F[hK-,Bx)> З+ͧEâG ;!m3ln#pC@-#q;el3;9Ay&zp`]fQnՓ9 gM4 G3H_ & $9B 0 ՟:hCy`.L݊iP&lpص$U=1$M"1IbgN/i46k". ɺ}rFlK^l%otN `:X̙KmXx8A-Ed_?Bė>_Ɨ{0_\j<4&lz#Ʌ蓛nMQġSe:HaX 4ݏSipHx#0Kdr/b,[||-%R 4eJwװ>no!jC3)g ?[F' BBF^Q`Ջ?igy#1DQtIFHuYz)ͭ$5W\RyQ'is)2}qsùq;$ͤ NCy['=#bV^CSMRmeEa4D&ē%_x#*!zU tMh ;2J#c?udW ̿5VpHL&)(y6(ؘQѶȿ\u^T^>}eG%VEAQye12m+碧?A&'y]AfĊ#r*lI fc|sެT'q@3qbԽXſgN05O2d<㑚ʒnd (7#;0)FG%6W9)D$)dmkMį#9,%XQ s i[7!d㳑o5|Aƚ#(w54J$R`lQ^nF>GH 5*Budm.cA,) " #8D3H% T{J0l(ёE{; +4$[|;6 5,D;Ph '!kVhZ Dh`E.F~2_\[dőaQaS0)uRTY PYf$:ݮ6 ٠'Xb~ !hSKrP'l[ZTeG]\MrtbNpoh~IH ][G!ۮӦg:$?TDLnLz=bY U(ڣJ14Vg8HR`ݝ!b}As(vn|wqǨL؅eCQ*[$/v#<(<܉"̭6!UP%vBǟ-L=ho2c%;ŏB F2G0/yH=5FZl_Zv6C]%G4O?[S>EmѩťcFX+PO7b$EjPF@ҡd^[i'pDMZvdS%SW yYKQ=26ĸNP֬k36Tu= +[biLRwkur٭KfvȺ/,@~:#XK"tq͌Fik#rl`_H&'Td7Dd(cbIw[ѯBȟq4MRcK'fdk@f<>": ڈP]6w!A(X-|hbmL ti./ B?)YF&TLm!&O(`3>%SvS譓*_Am Ja#2I/L. %4sC_4 BGZ#* $,§\zIģ1yoe8_U {J3kɎLks{gTǾrP+EW=ijTX )ɨWWw"+$cL2M U:rd5#T"hEDT`5mtLC۝~M7 uEHuI>o[Q`X}.&o" 8(|Cb(\K#qײݔe{ &mx 2qO]Kzt=c};tT=SFPbkY? rE!x^hG|d~l48d7^ eT^')zԓH3)W% ygyk2RGP]BQ\d3CT{IcﳄI-"ȅ*%'ƪԖJUof4p"p0P s/ُYn&Pв:ye-Ww"''֖.5굄go8Ֆ/_acsŗ"ē+wџ+! 2xyarL AT2T(wkA/qHٵ;&8xM0R2Ƅ Z}KQU`iz|Z#pODpURAQ/)1UnԪd*+ Wv0)ٰAEKw&oNb$'#n&7) ,Rx)+lL8%ˊ!?Bb<Kqbsԅ8O+QYT.ABm xZȈ1o҄UM%FChMr=Nd z-H~x*#'q?ShJF"4,H̸adX3% x{%E삒9>rW|(޷zGQs#D@хCb'j`7w1iK(3Ih%̊R\Ծ dI8ͷ ,w[b7quL/uX?4& ^:j^;lb䷡ц7A{>r`zPA,ڨ*"r<8"1jȥyojG,fqRW4*,J%_sT~ IhO?] əڛq|9qXA )7ܮ&pd4t@Npȩs.f-:6aޣ7H|ZQiX=TRH>K*V ֈ¶!4cff8B]Q3@- :Dɇ9EKtxMdg).8b].MqQсGm+|VNMOZ 4_ Ͽ !d(65 "DjQH[%KJcVa7w\'4Ԣ(F:ږM¾W0%[D0A.!R*1=FXXMR!s6a2O51M{qN *vqcV@2En#"n2qdiߘ#1EX;j*.ssP.EELah' x91ct [KW"} -C6Z];|E*tejV| @JR(u!Fxpݓ ]6c^HoȩAi&wI<AXVX&)׺Ȱl !ݓƴkb1@[ qrm4mA(둆QɓdrArGdq#Α0: "G{hEG¢jI[^jUʆćm$J;Oz1\%ν{ KYw9ʮmzWY.iw[8ءxUIxfMLU~=4$s\c'HG*öta;NeckXdp-v P3qO"#\P`.%3UzG4p1dj i l0/ *6)^@p`U?gESjK5aVcRťҪ^qyI-Tu7̌8㧌u.Z$$(@ɰ4*E)2|Hƥ7GOUb1?##u(^eUX&iE0#(=jGfZJ܄%90,'èUF/-w9 \B(>JJ:͊ɣ*IE^3?b L*+|HЇV (_/7"8(M"![XUwŌyyNt䌗X+jI5ϙā㦍/͸)E5Ҋ;DsOꟂz Ɍ$󧹫8yo$Tu<_{V$J?Q,q3G<1YrBu?;Ч̟UEIZUq#ڋ֣Acă{Ϛ>)^;MB%鐦R bdV? (o/e )7"kIcԲљIFtvz|$0bCoI΂ 2I#{hdwٍT%bsy7e~֐)3538@H&'ed"9˜G[iR X7)ꢨh4+LZRf=ɳ8s'K/fB:Qә(nGW% |8%!\T7iq%܊WXiFI''t!_v%2u~Ǽh5%װg{2`6s G"g2}-1bOH\P l `ILQi: (ߛ{iz5muJGY1W|v-h{H>*A Sq-ocY~2D).# }E+?9Mm'XKkĿZ8V1!xP;#$>PjBv4pB ve[.&tu(ㇴ+F9xCx%`П"oHS ,&d\>T&r=3z.y!gkǘlp*^ ƢT펔 Y9Ky4Gʒ1 :31á͇؆bvu-[eAԟe(4)n I}CڒR&?-GLz^z"-hYTiXW/`WRLqXK'Iq$8jMhLQ"9vTxFAxE(ѽ'۠ҿ^r. ;p;r?dV+{Ҿz^w.Qj3ž3,?lGj~7ty !c:sf%b4iPH!BDD^P{劔zo3$fI jZ8tHqN?ƜE}O 8nHJOK%|HJJV$B'r)"DD"Y JJJH$JJH.%t)'t]Hh&Im >8lz \+qS$@l„i!bH<-.򃰑GrMI$t.=:U%Vg3S^E E9}Iof~G *棽%'5V2QfԗpO(fpɳSsŽfN%Q(i틌c X.AGb_e,|Rm*"X"#+ ,+kDk:.RsfiX Ҩ#g/&h_%e9v߮NJKI-.0t1J&5d>8mvӁ8mN3q 'nrMaL7Db ,ܷLQơҲJAavZ>fxgFdžvG  Ɵ:‡xY@B7Uzj7gXԡVDU Zm^:z+DD[q”J$7 6Z-cH K#&Ucw zvƳE%K^i$Vqzhrm"#r)&¸Ҭsֈ`RxԋGLػDz 4XBI\GL$h[z % IGA 9d2FDJ>bP*Uor.Ht PRY"m{#B"m+NXfA[ )ߍ8eK1D@oFe=<ѠFdȡ+(%} yU#K81ѓ],r"?WI"TZOŘ5ifez MIqd*2$ XlK**%.cAWYYȂ i7gT11ǝY(3B2>ک Ntf} p\'=U fӃPK-x[XFOlE]礊SQ>Gaw OH);u51)fU^z4#~[1X3ŨqgEbYĨJ6c\J!Z∱v30WHU㭥L,"ʤUͰ&I\Goju6(% ry\*k͹/YBA=񕘜rk!t#3[4Ymy 58t'ύ-ʕ <9LIfre&eY%C(r;I|P[DOrj8\BDPB|hbM02C>aAz?cXMap9Ic?IMro"DVDQ!ܶiKIkogcΗ _%V׼u,fF[Ydtt0?gUr7UJ>ʧ)bvW0$nݭjS㨎 MSYc^0I9ߛjU~ȑLR*+ݟ1/ ~tfb/ '8;I1F'9R%n-T2qaY`}?`ga`~ē=hU=7'^ziyVLQЪ}q[H@P4zђm EDLDU Ggy ֲ)4}JĖӔW: Tq[=\JxĩюTjjZ9a]T \U& mb13Xa |)QRZ6N:43JnWQ`39.*L']ZDT!]DznOH-.|yM>GH {ʸTUc =ttΡrdypz,a^,I1Cu5!VW;?(|Y`ިo)MފZ&ًY;ݝ^ϞKK K3a,2QM1o뺐0RXW&gWR1.cMu&>PSvUoU[m +}oXӰ|r)*2ŵ^ Z8o]pPzʪ<TK穝Ms /5I/VoA}إσo_%%8!-?nC #$Ni4ŜEO A V)RpQ IqÍ#h*!)ΟpO f@>]y=o| Ifr5?h7bY`h@< qbQjU2Oc3P^9^+B8Ey˱PōgPƣa: c mVzɄ1Wuf YT^9(7։nMP>ܾix1U,c.ut[81bW[|rI/ T~$%UpVL\)5q?E-rbʍX+Psh˰4P9!1`oC7:ס1u0Wmq@٥26_qV{jU*cs<6<== &KrNJH$ f62X?((Rj u6mp^B~o Xx/Cˣ?]}>z̿"K>+ /GH'+Ou#u"4MfH{&MLJF;C1pMPA"q$X62 Ҋ[ \TP &HI$G4/[I۟YCI cF)p:SQ TW'ߢ |G}PkG⟫a[Z:U_Ēw5ns¦0t=埑]O%~ь1>Ox2yJ{M!H6iQ3D퀼(iJq&KqĒtT%<خ/MW>>-(_I Dd/zpѤ AO.8 6{Jf8ttU>|!%Cj {#AC}n1B-Z:=Kwqߒ1}1咭$h[($%zPBJyPSְ{OG-a#' EYi.jjYw[8-LsҪJ*nkLݻ}=[Hv AF[co6mb&3 6YAn_t@n aЈL8 RL+,aWC(o I*@:f#^1LQ$Jg2pac]3&K9"Y~P`TVO%ENPW{S~<5lxsa_+_`{в !o"uLk]-,(o~Uf)fDz|0>$iѱ/LJis0Y#tNO١F ۂ♢|aVkac' [ҡCyhYTFEQB)u Lp&OitmQ}N?B&6GX,&_K[z%)ʈfSʽ W)"!]|SxyK7<% Ȕs*w)'pG,e?.bENˆ$˫'.Aј ]}L|tWbxs\n?G3!4,:~d7d2 ݛ.},QjE BL)la_* ɽf5mzBAI+hVg~4#'lѭYbEnMk/>ȬNFb i!0^7Dcƍ̑94 be4<[e@n(q1[-]%<{B&PKHtewP">H]NBߠ:)gq/簋+ɛ:U.GIMoU#t)+\a5CqTp)[q?DxCb ܆x|mPjZ)ɵΙlko|=&M' F)1۩=8t?qw`uBpߘgIS]o}#x&|qK7X܉.n.SrL ka 7k,ɤFmEIQ=~" ١߮x)oڻ-C%_5uJ¿ "$}3P$`,CGM#FeddáTA|6Ť\wT猐wJZ]W$h=LA~OIN 03hzp[f)0KdG[1]":$ t of1{YքJMv!dWe^:MhGܦQ~;Uhf_iwwy>GS=s:Wf Kt"ZWo!+%=nVw^p+cT:EHY'g/ $nK(I ]Dn%XIJ"4fS 3%+l[Ğ(P ?ldSO2:.MvP83ݚ)(ϖH6YH2-c.W%_h}]K]mܔSPIUCG|5ACTW&WoX|t'օ<ǿO ם.ڪs/\k>*ݳ*!@rU/4Lދw 9/C}+(7"I]=dG Ծ/D+ӈBVlʾ{bmkF9̓vlg6a`}b(ŝDca^T$NQXIzJC T _ ,hH= ȡΜΔniG"GuR}{V*Ȝ7-@v"O[~fx#9N cw7 +=ό;ǗfJ;qg(ږ3|hzaVf12< W.>*\0jcd*ѸT1Lj^*cw8^>".ZD؜N$Y,R}Pd=Pm\ʻ{J`jKIduG,2)}܀1wՍ8 b\*#0 GM Keh26>$P<}F`:x8"R 1ㄬP87C3R`pGvySi(DMq%H1ˆAG}(" ;Y&MǭOa1JAuƯt1O8t-g492L] HDH I4.: dUϒۗ$vƕiI5fg"7M{$bT 'gEė!kY"`›=lNAɷdb>4q7s]\$ӅBռ`K2F):јBts;nIR0;Q;Df[K?HrixˍrcFVRH~78u'yS⦭5S/岫CI}Dx)$YPҩG֢Rkk6mx[Nj^1T-%}0h2$aDC`b?8tˑ/㉁>pHto:ƦDXK= \N)fqNd^aDH~1<$)~Gd4v#Q쒞 2<7ӯIg -{$iw11wx|NL뛯/4}žh$:hS.= `-S>N>j}^L`X**8ן*Sg﩮7"P7Ԓ>  xT}5:㉾=g߭0g8j5VqQp\i0$1͏oXS޲ܱh/37&q<!͚Rzv)!09áe VKk2{+0Ƚ7,cbP\iH_(K.$M@*FfR]紭{lKqeQN"j:;:RJFh/ϥyX׃jā\H54|-!!7 'J Gt9@RfhdY 2 T\S͝ ύ< I+\x ]RdmX& #B;C/ l:d±Qql*_4[߮RƬ`XI5%`9ܚ9eC@9!QNX9z1̔^I-yG9e>Z1syNٚJ#=Z>^4ZĮR=ρםѕO` c^,I("cze9"IoK<1O }=q3̼யC+驛| `y V9$1_ēbp" 4p>Ш@I:9ͪkN #10VZBlv&;WnDq^5.эe(ws81"NYEBNt^DwNä-U:[vۙe_m[ Rb F1'dV0ь zuK bq\riDÕX-845]#Xl,gF+!r8&0u>1uҝnt9$+pVͺv CYK$ȇjc6J92hW$Զ]|f,ԏVM7Sc2da3>3..衘kme]˦KNx.0 "Й|S %3P!-C'y8uzF퓭r! ٝBF-qr{'>|p' !.ҪjIQ}oߵ%U)F|kko(حlbqLD9wSpy1+d?džSQ_ڏb"`.#Ȯ*0b:|K%l߾~HK.E `/3A5Pv"G|}lgJ*rk}6KZgefaԋ^]}0) AQQi]#Sy̥TNŐC=Q{P3/z; XJ֎L |Fu`W^iCH9Kڂ%, * g= tyR'/d۞A^Yps|Y6nm $<ruhFb{BR,Q g,BvdvV=m7#ҥ?7ID{< -[Eo5DEl8ܴFt;ΗK^;JSۊ2[^8&4ɕs߰.2j4\ҍCRm=;D7*־;%V;f;PǍ[_~aɃtsVr@*3 \}*$pf424`FE x2̹۬.fĢWhH5AI&|b+\9':8(#@ !; bcS5n#*!-2L2y 'H-(_R㸱*_R<}qqhΓ%5`,Mz&CJ.3٫J5=$V,~=2/l;Eg-߆D1(>gijRk^U1Vܝ$F.R茪GLyriA6̤ݢ.pUE!)4)ӞO8^szHA)YXk D+Cd;tMt?7Ɯ5^_l'S;ȥ5akPKnm*>z"!Zy)rErU#+Pkk٥]gWŦ tEV, ,2 j{|ƧFcMޛMm:Y /Ԩ̹/<cLDH.rա)j&#iK:o=J_4l;X+áIH$v& gT"bX3̢+댤hkc[vI< W H<U{_pYZI Dфɏ,q Օ $ఀ`*=JVdUaI(wtJr{TE]TLN+{w&u!UG(itO|) weNthխcgmu_)9|8㒆V)E#lFPܟaJIQ0XWBaKB{O .ƸJI/>]3rߔt:mؽΕ4»l7cID9s6KhQ? rcHőBSX&:$2(B68['Ԛ_Do;+]`%.\Kr]qޖ6pח形^x-3P6j*;IT[3--yȌjN)\G(|21o&|c\p$zIMzzģx[ZmѮnR ?یTG_Xl'U/xMN&J0!qn#_76n"b>B 3fZ. Y" o昧,j7~),J_݊5Ёby R;fŠh9W*lQ{LI08P됺 y߶mN-r'L OP1\ZvCt\NLq )@"}*DPB;#@?3FdiƥO,׌u*jsulV--{K^Ĵ*MEPxW&~JXq,F'hrq <(4+>!'HlG[ïS(sϏ4 _js.Q ~h ܭ)#î'q_H%5tמҚ6 &$G W%5aM/ayOLAݍUa5M6HX;p\*羘"S,PYSBn||b.(|o=#4 ^]A>WUud٥~n]tJx_[7IA=C(ZDчg%d޻~:c$haLdAF˦J ?:cXƆy\\B%d= {ZE}y($0$uŲ;G̜a] 7>PΑ^f|sOdzqؕ˗!4͗yf W=q;L!: o>ͤ2:I@fc]P7(&)N[OjNјȲb% q"WҸN]шEI1[2He['+rQ~#@½m~#yr/ gy6²^**&GTMYDZ wI2XqE#A%AR{nY?(c_7dTs&N!܎HWТrEk11ڂQS DޘZvDq&rj"X%`v5(?t MjðT4  \$͓B+R6 `<K&(Z+6f޺_b_m-E"d|';*oityLUjY]6%n%>bLU)Tj,9"9Pj#"VD{ T_E $D*?TGc/Ţ_ݐ.ROGʗwBb)cI[7oє~xS޶ 9h?O+|uKt0oR׸/aLY;3K8rUbgZbc9[3N^Ɋ8"Sk䛡G0\^IXnPV\ȿx_Kg̹$ (d5o˳ɶu|.%1iSEv<* nMm`̐}0b,r[Ӵ&bp.JIɎ*@tC B' O(.ExRVF;4NlveUiCzdֺY;⦃ZO8 ]leU'Y9cJ:n 1)E0l&nj ' toH,és\µ3P֓:̠El!X(LѲ6cAޔcb1'2Wxeb_?ޭz y*+L]'M{J[2<|:77}jj'58YEmP>T2$KNŦH)Ή"S$ _F!$nzGlYum%sãNT/ұO*Se V;c%o^Z$Iw]Q󽔼ߓɓSPB'^ UQI=DTwtkWE` N#=_[o#"MQb2YBcJ"pl7a1W:V+ C(dȡJb提~lIf?#oz8qoz{Z|0J:R3V3= UQ/g Pka~>3_((б`\l1w2Н45 ܛ+.AmX͞XEPs f_  Dh(f d${kFƔFL,TCԽ6{)z1>z_(&E"J&3H{i^_Cj]pʽ֮XnTU)dp+hXT+a4I M-VrHR 4"$ؾwFNV>E3IVJ U[ז;21BZN4ɽq|!'zL3FȰ;kȽQNbcbП٧H$,OfDŵAM,MنM"7 X%}EZ֭.8kڌ, BA-&G]%lh-I/dʽPe)+%cu直,)KߖN3$#G3kjwkOVԙQATt& {bU 5>%LD\=m7p=(D3I9c:e Q>BAEu/Ds numAH7q4+}.˫Nw ƶI{#+rWԉj벻0Ep)$QPvgё~E>gK$_%i6p289=Bcg͠ӍOcGk1Mlj$Լи~v OSqwN4OxIs&MN 6Y5ն9"!TӎItМD NZN q-Fpnbh弦zN۫I03̤yfXèDj&S癁P`IJ"j g|2.e=Be@g{67(i\e>fYUA8N-WE覠L؛WkfIԹNV2SR}-wv )P0jyI gE8#Z#E;x> 1!YJlg8әyVؚM}|Tb{eA0N:ohS ~ Ls~CS1rPIBpZijSW栲_낆PŽ/q2D5܄*;De1?^Y4T(1k]g_䙥 ~`#';Hr`JoQTWZwƠBȊ-$9p5 eאtÔ<NnE],̟'j$,w*" $Wܢ(P]qguv>OwY$-zR-xnWyE¡!}xDBq.d.<Ɣ26XNxLQ |Ƕ wC|)J:<9wM=0:a8?qEvE'Qex:s (mXծO@A g⒍êqWD&ٓ8P.i7wW# V$:F%)TY\)g\VG!I;4q*s +qnNk)XCoR2YFua2FX:2L׎H} 3H%kbe|Ǫ>(bTbhMWTG+y,>턆2oďFI.6WEHf>7$ wU15L} [*LHje5Bg!SD\D&jVE"#1?b 0> u% Ɋy#+qR:ğcZ7b`,^EBxDEC|e$Rʼnc"ZPXt3^ڹk| ^%Js4"F?| %1}# rK| *"X~Z'e(7qf)cz(1EA:FR(! V캯*:H6R*Ȩm FS+O-th]Ls IMQ/V~ @yBYMōuW`)=}ഫt"myͦdAKIE- _ϓcyIU) SZTHd.u+ޟ1n)Vnߒε)T?]U4d*9ђT„{9N5ũDrNoOqlG+Z9r0gP:ۓr Jk\K|ʼn-$fUvp%mt%ymflrs~/F1;h-[k@@zNFlhs?CaNQ ; ^' iZ yLc G L([Dчzk.;R,Iw۽$_aG~+/,R)qԔV [e4bH"a0œXOxl!Gwi}O0.a߼ĩU=&.k,0':Q6˪E A|?\_tR9L{<=~RD:-p#&rڸ 'Xߘ3${VN`ojsɧ>^%*`L!~ Ue-Bo}RrI%K-aGU9-_fj5eH",3CxJ@U:| Щ  LCDYnc1V=zX)$^n~N^ۢ$^ʤ* }ܼ?l5:L4r^{/ʹ +x+rDZ/瀦:Ha9;R<әlbP&2ͧAZq4JMީ"%^,WQI)s!HS<,] 3O#3*ЕÁWחiB}Ȟ'n#8rJĿ;)KsySTnX_fפ-}j+DshRU-NX9ԕԩ)s3i*ETj4ngM<)RUu~ 9Uˇk}Ɔ s ˤ7{^c+}]KI92,;R*5MdWuGMMp}.{ݤfǩ~Kb-I TG5tbQ tYvl$fktu ;#3"$VcM: 6oV0͹ױmW8΍,R dE L T@(&y X̄"yNt1堆.'+w+JkfO!Č'JP2@wqd~Qtw,xͦgto&4hu/מ5igk[A#a BHF-U`kN5~ɸ٢[/ViїoƉh}+*KwO:",]uҮEHj-B)=FnHbgMy$tAk d V5uiv"I[9.b$ft+ń[_"zmCTkF]$U2*N楩i{fxƑgl["9ƅKo)pQ@R(v5GO:"QnK+!}V=CvǔOn˕rZ看￸mAjDrn`a);`rfNG)$.s g$"V*̥BK1U}0* i|}`Y9[(On?DhAxJDD)v% \"*{Go1D\S-h8q8= t7\̚L`Y$(] G񀉕, a&eVDK#P_ abAcϤgYX*\G~ @ۏ75*:a[ѳSɝ9BuX'mJs6Uݼm "i60<ْh1ugemvpDZlUyvvc}\m%B|K}ֲG&wk_PDqVu}~<&8T@*X J#j ws"q4x~ΔgFF;D(=wzBn='^1%#D.|ù4v+@/K6JD~ hr)b&䵸|314ƥ|PIG6̃IҸh뾁q$e[l%FZ2&T8c hRLzd$ 3SY,}qb%R["3YX_X|K=- 3P֐QVT*I+Yl&/Z'^cUښ2P^I'`k;q<`2B8ƟH2r? dw旍mCDLXSɛ7Vb)䁝=kr0S"XR1Ű2";?{6¹';.`H]=ƍT24"|~5:+b#pͿFL )E-{n֞HRe$/>c-zHƶ]ҳw>aގY~-I""fADB3 >igyYz0Vdnp,.qW(ճqL 7GZlA%^ qHQI"JS^:\V'ٳm c2% Ú@_ȈǾd r3@TcSi3 <;XK-E HOe~>&` 3?zIc-BL&rܔ>>q9_o6c4r 1B`=v݌A(Dba Squ,V>Tlu?NG4]%\Mk0O2A숖gxOb DQ;g^%zuAx.Pt z(yͯʔceobSJ <^% ~OM}㛃oɓh}gVq͂K= HLv6ME3vu\ވt~#µSo{9a ( rtȒ(ճHĤLHd%ȟñ62$]$O8ٸ}u>lW!n ):p榤vN߃Ep_l }**"S{z#<Y.}|)\rNo"OtC#v֟x'&Kgwo'o3ueaeЏ2wg5&JO\ㄞD ,DA):fRmƹ^0g3b2Kl~&^yR|rb2֒[{`T(JZ﷖7Ӹ:NJ2A4`mϐ@"!ؘ_;bDϝ.l| K@YsQxB?oQNr8Ë,8Q(``XQ=DfDT IJ$\g(±${3Gå vˆ#S}-IfF[=2PWC9$KHՌWsW&Ӫl>1qS՗%"I:l!ͼ_,F֔Su-; LqK6 =+k\Rzl~%8EOi v7; LW&ӎ%vi1nkWҳ'uDl^RRG|ms3rH?KN5Fi*LzQ0nֻhX}KLv'eFp^k9?%-$D?O=c(^;K IH*Oݒhanc b2Py;[Lmt:E`eK7ԑs(.F2#ƿ8Q.ݒIc -4z;sPpKfv#l4Е&her"EÚWٴۙh^:B4eq3G/Ҥׄ'Nr6z"07g6/Cy[ Zݑ/'GxoIR뢨zT.mwzK YrvDm;Fa+2~k!̑' e;U!R$ڱ1gЬ((I h 0vF=qSa"_)hJ;">Όk?~mjf1hL>j~S7atz'tg?Z"yFr,i>SUAt*$|2Mİs qpcG" gl R}XH1\~QЕJc#HPe iO)VD<3DQ#p?vMV։X1[MV[\<I65%zY<@AH3p.bB:y3x) I&s}s#C3 T0|uwﮦl:}LtSN/*R:Ԃ;ħ8c5j?yѾ"݆ ebѐFVsY̮WJz8q8 ;х\j#Iq،JXQȼ-Y9:An.<Y‚oYtq0,lD^EyO&$C$+\2' :j๖;Tvdt/)"'?xBtM?B"ȂKVQ"]"jիTmA~>_^KYuz7>$vzõ\R"Q@Ip{4u<H1BQH,s@xnbCN}\HXK$(0L(+e4L^p&jx3֖ "F #ZJd'V]b`POI .E oy܆Ku\"K~evEj7/̱+uBKa0L"1[a|KɎ9dJFgzw?IEs]#0j5#2 ="БV;Ay3۩hDurD.QP("lrN™֖:2{߂url;/r+Di*"?(p(ooD3#b7#(cqOpz (diFAws¢y5BIK3ћA;OYCG"pj> sݞ6ӔQ(}(X3rONv"&ևr7RI{U0PS\G#G;,HNj&v%{pe[U\T-AwٙB7IGTnc75jx\3_"OFY%e/iu9C8`+"&QJy([PlG$%TfH1)Zզda7E(l񛾌vh&‹bΚ3ߞ`a(HQJ?.[=g|۷/䬈ϛ3mܤ;?*w pȈ#SqדJآ!A' DNj49PE3tSߥO} Jk@u b[ ܴ,& Myۙ}@G7vi 1lg@ż La``(5+q(gz3 4hIZ&, jg%I3nyI< yLvk,F|=,Oa>)5\!4HП}4mz' h~Oج Q-uǃbͣ hgIJ12ιqO&ޒ<̲F‚֡ʧJX;^gJA.tޙfgp{EhcÚjJHǻUwm0qܔ0;CZ%*դ23F>ѱŕZ8PܲNa (1$$w0C*9D2tc@Рn~iK7ܕ;S1kr8OieyjEsd۾S,yepO1_$YT-5>XVtyn%pM2~pS0sj̔s\}vci%q*E,ܣSEA7.lsxa4!LHkO`O8ŸJHwT\v}(fTBJNC꽸àN#4^j2o\j+,f+q$ 'D+ c̰1I+jH*u߀`GbyP{3gX @?TR:0?u y2 {T< ۱sxmobSlhd+XR>f l+!l8 )";HpL!FC"*Z\CTթ4 qc3UՋwX} ]&).7 ۹?jjRWFƤ;߬tC] "aR7qȽk`iO>%M|IW=t}֥u/X]N)cwj6StкƉ'; S?1C{/PDH7.$(^V1=ࡖ6"NA,͵-Y(5&.@\3]WZ)"<o\Y7ei =]/O9X~LgLљQO.cҍ?fk2%rac$P"!=ۚA7ܥQWM8Jk(a>-HT<H? 23fyL18TiLй{/yJ3-*sǽ;Gux`HO @A{ݐ$tqP7>'pHQrء\ .g-fJ6yyA1,λs/J(OɖkC8y:1V*j -%q} yFIqtF"ۜ|#r-1xIzj8S?g_: A^_ѩ]\NֱW5ŸS;s %93ѫ $^_0㥛7Vv^a2f2]f;h_Q˵iPzo#/wZTE:]e4%Y`W]J }>"ʞ6iWW>zZ:{'`{zgʈDHPĬ CgjYEY!(xj$NL}9OŽδS>DGyBnzXJD∨ #3tlNi(yuPsV5YC?P!2/D%᠋2`W8bٸX&QkY 1rNs_ wv3\/}]~E9'29*pCYY>XTƱ'&'R?"Bs(0J9vUL-)].πlJ7z,fBi˵6f*:këʳ&%ǀ͋^̍%-Ȁƀ Y r. sDjm'ISZ/Hϵ~χU}ђ*ï Wjh"naoA`zR#1JbȈ#1<*Oml\իBECc&5g1R+<";{DZXEsT%Y⺷T`vލ5QIF3m*u ̲Q̝q6Ҭ=diQfAX yk6d 1kעJy){嵨 2[a~O,aD"lb$"1#2)q،S(7w(g(i/ *;ф9{yb?]0&߁4[ugRJSFҍBC&35&bه4HpZa~?tz[Tc%!5oGre!kxE0 Űk (Ɵ^&eSs5&2#iʞLRش ~ F\6c+\HDNH$d#E-_;5T ᗒv[C2$r'ZT,}SI徔}麉'Xf_\e{+V<[YĹ E xvZ }uS~x%7 Yd|>F hl/8 Lyy5Pf!k*Ǣ?Aw!Ff-F'*Լ8jEhjo&x9 IMIg>㑵6 \Oy'A/x-3ɢI_/eAT\B@SEdmwl#0[tF)yK l@n"4'{Jt}d*t| Xfm1SGg{)k{ijQPz?Ӯ~C-XȒTs992Ispfz_Pvm<>25qv5Cdsh5WA\ךLCzXIAߦ雡?o);%)0؅Ir.NBԭηjz ] EPς鴉X^JgLf!MB)+Jȹ$<쿼"ExGs z]ص,me=`"?&i+S<~yQٴKps5|b)xX;Ć;TP'.(DŽKlm$@&;UzQ bK)s `t 'p)`x|&Ş~"P0y .BFe*Ih2y7O;+r]}-}YV )w \W?(<[Oi vsGտ|o%Jم tyeq5&CbL}/ec[1^%]*\- nڅdkn.RbeYIeĂ l/±d+"N3`$y˒VJ3#. ^ 1ܑp[ Q?96&>EkX*'Dqt/C#‡ rG;բj"Mm:^$=k|Qڟ%H[zG~=fN%DVNgR[̊d0xÔIyHߟs~d3VA?/͢M?A' :Αin`ob)\v;LV6<&V'NE[ETs05AQ" $,#]A[62knn`(Tmm@DJ;cxFM=׍D0 eɱ޶+ ;'m`1 zY9CA%I,u"DY=H?{qkX!:tLydk+K>t5*e!|moX;7)M^_ʿSјSFQ=aqLo 3ؐV\'Ey@x΋;.mA/q Kax?b]PܝfM%*KGvJ=Dr[3e$`}czmʃTN;c  BJ |JEB1eJַYd f"2}"w^b07Eb+l3ey:~ģ<`{(Gu5̉"0yw!PɽaTқuJO2v(k˛ʳz7 48Q\S_ q&JliS0,sΟ׃ej aGHTA!B=YmUr\.U*~*>qP;P.-_ژV 2@}#5Ϧn^H{ aHt%<"(,K?uz.膬@9ǟ(`4DN!<2/C$7RTPQ9ꍆdƣsE' @NQNaݣ9UɆA>JTЪ9寜_p.jڡ~(^))q,EpeɆ&Z$4+ُ"ȋx, -a]{"3jK$q3AVٞEM~/B=~ĽhN!(`z͋Q4-\o/3)6_fJ*_rQVSyrd3&EWF5rK1J*V k]\8=d/W2rp̣6 QZPIaDókYHA̺ q,ŋuZ|r͝Q(p}MxEQ 2P:\}^Ӎ{>3a + Rv!N]ᓢ\ғIBu\rvDK4d;Cf`8-M5JB5Yj"ۘ*=-@$ ­iN mض]5Tγ bmU1ܡi?s\.ncwQ,(?ǐ;,r6--$Gcu^Sgeec]Mx\OjS2JZuMY˯J8BH޻ GHRW ^Lx؛(h,PtEmGܢ: tA[~䰷QJVӦ;qE5|z <%(G. ݐ*Fa0WȎ)"m@=hB3NR&\fL.H5bvxrU{ofaX5 kbY;'#FAX8);$E}Q'|WרַM§͏a-G+ޯ|L,b1y )zL !}ܼ-ɗP `7ԑUMsZ}t d | K8n:wdILT,rHkD$W'T%&SԸeI. #hn͑f(O'F{ۈc$}fx ƿ Wq(hN9b+S:aђjP)B`ͧfe &,@_LvKojdbͤXN4E|ƅN:JxrƠBԞoP؛O3rM0;F,Xu ?aaKV.gjest遐ZSTeŃU*we6(#T#/դ=a'G}!Pn )W%HWr !,9}#H19I?̂+FwmQQk}sx(pJ+X_Pgm VÈ%@PHTW|Ү.+Ȧos1W.bnr`F JFFBԶJ>G3QSo v+Y(vfZ,>X~9O_CL$"F-GCFra~N"瘆} 3}F5Bs3h^!W5Q$mDfœ_t׼#"g }3,Eaq˾}_׺EJmx=$jB RLrԆK}UC)ބ9EGV_2)U/F7Jg "V ݟ' y Br/ܤIKBi:Y^&m Ŏ!U;Q-$-N!aG_OK*#uhhH/я[|^LAŝܘ.sXe0ZDGQT+!ˋU FQ4 `'QvS]-4d^޽Zm4Kc&}HNV d)[`b5wvl MqiYf6.}ga_TSqh|s1gR`|+O9dzĿ4GOU' 5u yqZLwe#eJc{^B%^h' =KbڜZIU%97\{o.дiUF%^$)Ddd'gsx͎CwAb-綒I /~QRH]d+lqVЛēFW\.8UQ sʛAK1 8êJ1wxs"Ay=ZDg y/wfdUD95)BmЦɆx(W!d^8vn$ۄ7p#Qs|kyQ9 UG8k-vċSϱw(˒Sq@=Aoi|5,5HFzy(?x-zMJ:Yfi2 {E3/C_bcbY0k[pKiMRYͶLU84D96EY2Q:_;0풌{YhQ0,Ώ4fCŒyB 1W)^ddo1 F%9i\槴QZJ#">F(i}x"˓knLacjAfHc"Wi^Ω8HVL5w-Md|艳(ൕN#qhRW ZL-3i~5w )ʑ-0)4Fd&k"2A)1& ڮ?W^"'Z#BT=EVQo5gWB0ߵt<6?+p.r(c&OHȍPAdvxBodD4wԬp(ߋr:=IEs} ^J%ȉW"PsPR\!UYT)s [Q2HXdnjQ"r 濞*I%K=bv?]>~A%d'EBEE(Q- ty̪^ X4c-,ckj+7H|OI1)4^Qէ0h+ШY&U\i8_MO-^XU0U妐|wztϝ}25RQ&Hdˉ[j"7#3qci3GV7dAUTB潗;ۺSidռm|1× ٤e͒<ҟW2i (l"ay:]cnW#ُ$pĒ< 9K+xȓcJ8~*bQdbdű«oi#BPhP.{`,舽6},EFt`k)twڥ'Xfm%OZ N5_J[B1ƲqcwbA JϿX p9gm摑Y;Nm:T@R%\'aGNicE)fyz"C.ޥȽg&/*ν|OXi*{%=dc- r[y1 TRbK5oxU[;F]LƅjoIf4:c.X*#!sTb(rzrhĿ 3zAo\ /f" UdJiVaqR;4* d㢧W1 (ໜ"1\":"t#*yF}|¤ɛttE6h,g/_jMIVdOf̴2E7¦LMh̢lXޛC1H]5[MJ<+ s|m3S zMR"$[ t "`m2JQ ;[5HQH%YE32Q tHȩ/hMTt"y"]_=G1ɛ85uMumzhDD[F%< R'C*\|ӢjYBK Q6nERHD*r W~+3$><""4\{2cLt[{!K.%-JXBZ, {EQS{B<*{Ly" ~E,Tǂ{j$#Bdݕ%*\sr_[K, M Wǟ/y.4ڶT$EV5+"C2&*B8".O9BFlb!kH#Kgf uSei|ߴ%-mu1*$Ү Ee1=z1]_fXI?L jk Ϲ:`y>*#*24a=AH{REG*rO`V4QdG좫?D]h=^K(|1e^~rцanAWd)j7njĹ[dVLr%`~>|#iF4J<0w\@gӉY[_Ȟs 3i6|/d( 'VGs.[ӈ-9| CqVC"LQFQ&,7fjK3U,a?f8J1H@} ؼF;q5fN]U9tnR \Xѭt"A`B$ Տ(ϲ1 ǒL O[dccf'zqCBM#qVj[ .23TYB0 rq:Ey|S`%}bAu 9ȕL+qS%_2Vqi֕ղK]&[hAmcao\gZ–4o;}0~3 ҡN`!lx1+mXFAyBoԧçCy}ͿLPKHPyGyMօ(_X<\eaoyϏcrQw2@ķ45,e%x.EUE]Ayv](rv=_&[**l9 ZA}E;Ӗ/l(ȐPl$Wi`oR"څx\VE''{l)!ʫB-U%KJI%FTIiV%%/,UȐQU,IDeUJD5U$-jIL%-W%i%ZPZPKZ!iDeP5j*BTKXQVfKJj*U6T*%Q$!-/VZͪDA#bTj얽Q*I$$HKIjhbQKBZע$TU)A(RR-EF֕iD*T#~~oSG:,T._mS.feRdE:.*M# }[%RPuoxkrk`&bG]*Q0صg<>b4[[.e7hY>F}$"?I2&fu }pjg 4أ5p]Q t eMx=4mF llE# <k'TMd,H4hY(v{Ի:d4GvB` rEgD0[0m?/%fdF6JK \ > 7IQ =pf ~E hs=UсYC'xˊA1 #(9CϳN=3t'7ͼff ,uSsSE={yݡ<<r:ɻS"젓PUKYJD^z6 \k`] /RvƋŕUa eA uTu; Q亂}-4154O?ZzQ(b*T8]b0!:0 7c֐A+ס iZ"ؘa`JCz{ OVvފE zk9G&c=VS\NFkoܸ Kg$`/oþXYT.wCP$eWj}뜃FF n3 KMIn,iwP :-j]5jt຾[G{(_ggR;( xšΠ=Sr(s94X! w _q)f5]&PvwJ;,⸌$7'Pjv񵬸 ssR]NǞ N|sTtR!mV[G1jbӘ6oM3~ۊ>*h >cq|BqǺ>dh@E3Nۿ$®:nWEN匿Eo!j8nI%!JdٛG;?JPX]r"F\/VtJ,aL`J8Ev` @b? TkW=3B/i , ?YE1e&;}w cT5Qjv9>}Flce,e}V*Xa+-=/#7c*AUҩRI>?GUMͩoܦ7okgߒcsUο75V7uf)r^U G9 ]R4לȿ[11b>F#q? _YYi/q6EiQCbQEF*3% fXJqO/rWS<(jE չڴU wv;BO_UILGYGk\tb]v*t~T4v<=\H#h}gI/,|I1rkYnwLr:2ɢBK.E3ngEcD+mQDlDZZkiM(֢ B̾ǬFAuEՖ9tE}sESrYGEbX ;fEz՟=ˮSc\4BJNgșA4߹ eN$. 5,Z3箚,2/11k^ċpݷ:gѤiE1U^Fd}86QW=Hp/#:_R䈜UGC=B/H%T5U1̲;ɞ%RLqaU ΛjId."5-AQ)=,4l1D@DHDʡA`D 3(V%,f?)_F,Aa"|;NAs\wxGCP؆y/M3,[{3vFѦ8~ ~Y<;V蔒j]UƐ&Iϭb#Y1Jd(F{.@iPblZPwa5?F|}KI'`p!%8\cؤ I8/aWrr}^#D^j̬ɥIkNZ%5_8OA(2[I%>ztTBx \}sK,f[WuڴO],MWZ`G{gwp4q4UGS/y[\@q DaXU7 MgiW)$Xr1бHMtޗ%A[H%? :&Baw=~0É `UĞ0006$I]& ث<7C,z *צqzEM-")U"Z4xU>쬩jyߺ2+}-BK~>Eegפx6z * zH+p $E9!T5つ>̳2 A07Qɓ-:UoJ66+U|=~6 Ѩh }>2IOh2H61ܱ®1f\5wY\L;WI=|)4ogĆ>dCS&% >Q,/́>)vhǣU1@~|jzMBk8A,yIAÈ_SSX45Ni "Ï9Qr K^64 h Q>'jBt %SzqG29kS/W7&&)(:_տum.`z /L^p-+cմrx*9 ѼiRPGZxr.&phJR5UѰ+# a('SS,c+j={iVE|2ʓDCA zJ4R_NA=9ZquS=C]> ;;Ms(F(\Rʛ,$"iEFic3R8XMJ(>-B̖0Εa[ixlN/dcrc[n'2)rR%FI/{3zXJ{uڝqm'8 )nIsOl?s]I ?ϻ{an: &bMnыD~>Fч 31*> RSKQƣ|9_ $=v1wK[` o'VRwSU+r|SBiP3YRMY},sY:MiX=g 4L1G_YbOe$ V5|Ȋ̜g-3T&H:Z7*LVb(1ԅ.)cgVoUHK0;rj1= qr4xvn6^ddNj0A&8Bbl|w=&6~PUd}! 3Z.'gK"Dwltp+C|%F}F^LٿjT^bl !}Nbr 1X/33[yDz7rHB -ԂB@lAsU}9A`WzV>!)͖EXJT++ht #rJr4Z D*K#uvL1$N Q|l[71fV%q@^wLٜ*eɔb|nOhFk /ӛ)>e[c_F TZ*PjY*EkP\ #x,d'Hqq0ł ̑ ,;ҥ Caz6{?j*FjcF4b~M0NKAg*1K3&*fvYAd&)6i T3lySҎڜ/It~Q??we{ǐ!SygV5`tZ!q>%Zܩ*Ⱦ+jz=eJ^| ®&`7HS|`kh%Y9b1N?_ *) /oU0|I_:UF^N7 O]lQS&EiԨrtӴustc-#nf cD؃U0_3ޠQe盘#\s\J$XP2@ !K.Y_Ѧdг[u ȶ[uMi(dReB2KBjmɧ靨wzY9'z3OzݰK*PDHLtP 8M̅(ILs#'ġuhƐ޽ɲ6e1H͉BӶO]al঵$}/ bu$W4lKpp{2;N1D: 0*uu=,]__|onfNSm%{l.IOُNFTP5t.]8b\Jޣ i&nĄ ws;Sٌb! 6}ǃ<Km l'0-M[ {TCWXOxp:ġZ΃ctVmgAeֈ3&9@o057ܓXV9}.[ $ѤƵҵ it[D8Q,,ĩq3#ar<DzXLaM%:JA䑺$uTJ9l ގa%k % |WFK[fͻ׶o:d4WT{JV - 5Ab;s~E Gr_$~LKdF9}O6:- Júf*FWl @'9,DYQՍ쵔m Dsa"&F'Q9DZs|rF%jQO:<3{O>#Pg`Pp0W Ru g|]? lzƊB7n#=ƻ$8C+ףlyQFm"p?ihm~X󖶤w=&8Sfz̤_ R3=AĮ٥]H'Pe*_H!sM7/sxF Zڔ-& ֧E3غMK[d+GsȄnbB<m@ 1$8̳&2瘮C ̎ Ұ*qIi玔_R{oy( 1jUګ?~+~R]wPZW4[/IS~:IrKS2B(2ɏN\?z ů&$)'҅0Q[Eq#OmB Q_J<@W/D#LWȚ/빿*Qم{AW#(u}a! K\,7$<.^aa sŤ_>D'f_~x׌\G&cgO݇o?]5ʨ'%sF[S8 _,ϙP[QܬʶTOQKlw'iXal et,,wN/4 wy5ծv8xu 9G,iYI& 3})2qW6  z&72&CqEzKFa 3BR~)z !H|IvE+EJS<.()ʚF>U!'*J6.ZëSWTgmmb1)QT`Zcyp+ kɆ'Fw> Øm-Ǣ4W5%dȥE<:0zc9A(xL'MI% j}Uؾ{ x `Hr^#4莫oPGE}mS (Iܮwju1+mR^䞅23'^X2!šLZRWǬGh!csGh^m|<%ܸ0$w2oPt|ʵtÝ╭OЪ9b3e ]; KЭ)$@#Bnԓ9N(ӟ/Zu6Tj y4G!M{[!v`D/#gJI/ */D߃WR #ߋ=& ?5ҲE>&Jr}{ꖤPЪS^Ҟi d,6,|I Jm/ߥlφV}V&K$1]̵X劮]ҭ"ARc> 52HbfN1ĉ;#"x5%Cm"1 N7jNq""'88HχW=9q$ 6:<GqtX \@W FL@my1'⺎ץAfUQz緩sģ c^Irw4 dz"LBDBZɫ7jh? 8<(g" %͝(|FCV_;c~UPtY|S8Gꊽ( ig]:'4mI|c}2)-~H?M'U ,u|C㭰e[ ̟n9Hj98a{9o^;i]admA=|2d|PRYZ9C:TK4GxQ!4 +S!ef20]S./-`Km'ߵ̬8`1M&sۢs{Ko.z-{*V=!Gb)Cl.t' *|5ISp)|~R I"B^aR֝ϦISy)4da *ᰌ*%̋ V*=Sf9 *H@kZ&A^E/ To+[uLCJ,co2nfpݘ$~$H?l^Ltߟϊ$tG!J3v< {bE׼X _A`=iE@t͞m,w̱]Ua5kDPύkVw~܁Vtؘː0GlaBnFXDtДBt4;JF~}/tׂrG5th:p\uDOn͇k.{#pb@r hƲh"D3sV0)Z7挕Bܩб6[Z>/<$%o S$Umj&OT !T&KX3j8Iw,fQ+E;tEbY4I %!*LE ".CbL/ 2/a4E}/RD\=՚SRwzs>?\-F}+kM;cJ/D5k)6$ݴiZkX.jTWˈlr>n7R ^\SVp`p*Z+$G%}2)ŕ%L'_\ƃV>]lJs1 [dR2 ">يM\]$G9͇UM2,uJ/: wͫ2(ơlE ~I"LbYSA}F،ӬDu Y !3(R]C,˲IL=XsmTx]d8) l.R3F}g}*rIpbV Sp!屓iѽԜg) C:(:oByLj &oY!?ߍʿǔTgIH"Zt1d tRF4(833$;B1+*e# MVW359 U ΂:ߞ88xKf%8ۤS6,>EHC`O^jvJΏ6lRDB[ j8DngH$@i }M`osZ'Ѿ9E1s翴ddf1\ 5 ϟs6-O]qA~u!3UϯצJr"h-pW)XX^^Q+zʨ/9 9/yLsdpmH982B7N/D\NI&F1Zsf&hcm(6.}% qIDD7>)\)W~|}kg9uXCPG?^>AљTK^J*V0Z:#\cd՘߬Gu4lcn<0PKKou8_$Jc|QxOuғVɧ|/T:m+~ﰸI+s3zӜxTFz[p$wԝʴfpYzX ǰXv>[ض,'(EDg;0YM)ǑX׎Q꼇Lveʮ0oytf d_b.mT-'#z?r ƕ|D70%t~MoyߴJʦ=m[n "k6e&"#9 ,^ZRTU9!vE| qydv^Rֻ(&MZ7i^ h5?uL Lc$(rd"px-Mnf#Y8̥$o:k|א_G/֣2a>bjפFRq7Ix/P%U,IZD|>J:׬=v4~ݬc֟ђ* ߐ$ $]`bMj&*O0}$;6$:+]c߫l:Rn#ˎ.[;CuNG?:pٌs%YR= &1LrL@%Ma?Bn,a8{bc>bzl}%+*{ܳkyJ?EMeR܅auW8}K+dSC-2P;N'/]&io#WJK!N$v8ܝ?邒 &ODWGJ{L;h% 6Oa X5҈p`p~ jVNZ 0L.Ж/tYжx єKCwDrYSA-(~Sa󓺄"HHNy!! ٙcc'L*RŇ6j GC46A8PL^_ 0 Q*Jhݩ}uvmzf3TIgةu zMiJIߙ&D=tɔ~-J`4\c`0hW |')LߓJ ) #4Ȯg1 ɟn?#@8&4i1Mry.q/B@S/HmBq⫯"ߐDRe 9OR Û19h)9L_$跨4@+nNU S?y{IFR1\3l#6 uE݋^ғҜX{Ak?QtiNS3=u`H(;z^R~ZN-D͊SlU%/RQI 3# #-*D9Lx;qp>@K'[3H6ÁCS^ng\twUSY$ڶiRIm9b4lsb&~ Y4E0 | A%.IfZUQs>fpdܜ!{ų8u C'!RTɧ!ł6k9AfP)F""NLO;)'pZuYTʝ1UŖd3\z`gT )B~'Aavp Z JsԏPӓ*|E鈏@or'rpr!xjumUDY% ̢j_K#!>bͼ 7?ԹXr8{"ɤ^#O~cp=I@㩒,~**$XoT%ģh͡|}/]ͤb>j`8VM(>4DfW&jAofDRgм53ᢒ5:/ T!;u"_J\8U>[1D )y' Î=ۉO[q+Z|B5,C`㵞tܿV|vo@AXjv',: ?A}| ;dL'H>%I>R.M,ȌW 0D'7}ؽ"?.gXz~؟%~yt,j[eJ"*ZеbDMYק=v?QS8{`'Ҽb *x֙!E q{:RHaáLEKDqb8~3X%`߸PΘP1}pWBȔ27%Ǫ1{tHǕĩ&fd䙑{S$]_6&i>Z᧤y jБua: O͠aX8s}cmJ҉fXxUYaisGk슅{847]6J#~D jYꍞX^1\ױhfjHj;=,Ҧү$=)$̔T0m\q>}^o W/1owJg aD˦]9-D]tX j 52\elj&wz2!ŗm90q*!!0#q;dnҘq/O%s.M['R+*dm_(sAhmBƠ6o!yi; bdBaQtT#KNMdP-2Ste󷞜k} HڽIq(SP%k6t,tOjz붽2X+-W&˔ !H$Hg-Y!xhoIBfńjwhؕ3|lQpQq:*!R {,t!쉻rR*L. ^Tme jtV҄a6V-WbCAL9a)L}5'vֆfKS6׵Qo/јyn<Ɵ){uFBRhy80-W9>iOX:Vݕѹ߮U+ !Rh.1]Y6d^;f4EyZ7ƅR.:Q0Q`m*קow#;3)h7$((cdQ\`*%P. Zb˲hbAU?zLOr5j} n]˹%IYhsRI),|O屵*f_g걏y\y_lV)X7P2㸏8jiO#Kv\xD̝LBO(kP<]rRVLԛ\9Q4j,xȗQ{r_U3T*@| H `Lq2 Q'}ɚ^(8>f0͊)flѩ:7Si&Gff*oI\;L~KL٩枡YABi#>qKA츛ګ.uWbR٩;:WTe Ʌa1^l8a3w5SX+>i\cr؆YV`}dTdr[Dxi4[SAm2nT0uoeaGh(738bqF`pm;^-VBNs>~gxŷ;.cFƄo k^M>Hwë1F(#yYgOQlFL% kʂ ~CASr``!@:Np@VMlV]oE@A -<A_zsR<EDZ8KO]hd)8 ^3_ qYΒ4ʉbkjq"x6eЁ=C\16$>|d;$8"t{os}L} zO^p9>;$wL}E"=lb$ N?G|,f.2f} X꘿`_;J">uE}nDTל5K7LC2SY^ԧ1LK^`~p7+ Qge:ԫRXK\f{aI;䀜@@ qf?Ue);WXA>p-\ϑT*jBxITQ[<TrޞEki&d.>'$DӷF%gU^Ә,bUy?jxIvtat~9["rQa, $b`vg0T̡L H:5N扃NCU Ӳ{ VmT]v,| J;ة°:ԩR[Y2:\wAY00,XH{φzI!pUNi| 3rt vZ1.+2=?q 蟢2t/_ZǸ /2e|L<./KZ5ɎKBA*|&oIavV٥y%,A+=AYS&J/HY\|a ;Ml*JX&I¹3O=J0&nJ8ΨZʟ@PFObȜ9E8c@,0f_\Ae3 QN8 Wb:U3 COq[tNX˚&B \yF'c:$pvzɓ1Ϲ27MpW 1C-#py3nQEb w_oѬqIq\:^x**~j QM9UDPmr'|Zp.SJ8?)IL~͐+Tt^ە!{N'*|/'B#!yC9b6)xNdpmz;j ©y)bI$5CzQӆ;!VFPEpCI# ƕ6kڨDKBB_n,ESww7 >F@d_řa_*"&)Xk!0ӷN{Ld&wX^rƬ!ҘỤ0$Gt I-&9ba y,9 ʀngc>SFT?/.4 So#uPUYWIDGE5ucp9S^J+zϢ5۾/wxx yj!p"%O%/HIw1PYgӡ=&Pˊ['Yq,ҌvھLf;cS\eע8ļ+W{GV3ܟ-9" R8c-3PA0bt!ڤɛ#`h6[r.oAH;~6d^31I߻Φ;΀g]pz9;k/8'KPL@r3BÍL3 _Eb. ]5?NMfQBX#,KDŽY"o#F1._zGf) N 7g#<-Ë=!"CuLi6+J w~qR!Tmdx(7l[_a6oU\ɺM~hI$sNHfn.bdFҜx W>'wmK rHO"38Kz'N BeR/|OLEka쒖Ib^4N*9Hxݗe4X5z[Vп:l+0`=h:Rygru_8/ uMU=O&o1|!,v.̦ x j]7Q喀¾u%s)cY$ 5ʜd{Jy8>unf1~X؝y i|E2D tT:3WZ*NL33͹cKɥs泉Үָ JPEMZRKZm[`=&HlQ6lm4~8xɽim2:v6⌭i^=$щiTjۖGi[[+QT3vi& ƪ/.5mcb, 5JLFPG_k G 1I_|I&I򢨏qx~׬ϝ}p K7 H-dhb:\n {K~LjΫ{u>7\pu~l:pӎ,.U\Oo^ӰIF"(鳴5%jZuI'OMdQg%%;ڼ<zӢav3<-*5]eV7 R3B>6irYw5-C6OA[_+0&9 2j;Oyv>&n;Vg Z%+g:c.ʵiGY:s?UAlvvVVe2,W+- d'5RXW*2t+[\(˚w}n5zl/qS䟺'+cϺ]1q&o AhVqbbGrüYk6oUJ/OeJuvü 1R~PoMd۱-[;B)jj(6mTux-l5xk:k]"#<&M|)_D.pݰϡO`ڳoMeP3j2^ݻixFs;ُR2ֵ}MxīRy ;P6}Owa<' l~kK[g5I~D=Gѫx%'b(rFߟÐO >jy"S"ciG3k׮WU|v?65mVu) /Us޿}lǝ>!x{THdP{|]Ly6I^$1O/%5_hv^AlSp¿GHwNXY3u # XI &}4i:?)ː:̊d&oiZAynP٪*ʣez[5UTv)L{L5t7prbF]au;iV]N?j<ՍOEbѮ=}*!~o֩jfGSpS kϰ¶ʂêcVA}w"]:jk>uY[|yMn5i1.ƩӤgӾv([n{nٲ]I6kCS=#N V/{z j+I,LuۅI]"HQ;‰:Da<7 F', 6>?ܪGa<nj:I{@'i+SE9|Ҥnu(Daar-14&Կh[mh}e0ʣ*@/fzi?{k8Cbd1Ljד&C`~€"3CAA SH2xhhC2O >Pǚ(neW)j;J̮s;d;B^BvDj꼤OT8*1\σUߊ1R뼵s4fw5+ר Jė0 ^ȨYCj{ w_P=&`ZIQNzoEy缕]Pucc;}lK]#i*ڪ E踫AIB/?~F{bQDX¨ݺ)Nk^; _vͪ~)љYv[&Y``ӧ5UOVY۵=+ǩ[e Gx 1c1ajJi`ЭnA#=P+C|+>hn^h{'[[׷ҭ MZw:0)}l_҆>欴mmdeeѲj/nVvhjRQu'y\S%oIX6.;t^ O3pĶm㲪 ޾Dx}-ج*[֥N ½F NLxOjqAPXKNIũ?` l=w(XuixZ"]qٷWދ&Z觰*3/҄=-^1eI?0EX_y:$Y,H4WP&~oXI8nj8X7w`~jJEMmG|,rvdx*atSW6-D}%?3ͤ+Ž*Kpm~UgPO7/Ԫ"`LY5,bT3Qࠈ@ W-mK-=GP/uלE=i[{M\5aN%Q]:pca+@IF\3Yn>6Ėg,ù|?%yaZ5)+ ̿θA2s/Zx-ckS,ީ(-h)K֧ùj#@^R(Jc|,FD.=4'PC[YFh po]m"rik0øu2V7&xwqHZj R'P>y򨯿g߄}kۜ"ޥ_ss\׈7g}ց}MlIYN k0(mrXR.]2r^5?0:%:Gxq u_g;xr;օ:М]a1%}O\Fq?qX%'5H"ƙ@L6{`cϫ-"̤kz)E歭zU#kS|W CEx]Cw131o:og='iri'*/)5\L?; 9Y"AprћqX6TGZ(yD#F2}߿co7P;i۳%8m˪|R3]_迆.NsTwY$+h_BئYҾu(:΃.O."#(M[Z]S]Udԗ$)U%kނ++zwѥ3R#6mB!,i0QrfGK2HWڍGQ 2!N^*Ҳom&-NpZ-U_4VyMR5 8%ϭMcʼ=H3YW:ʭ]; 㠹.x(ulKv7/ݲ$&Jӊ%;nVF}k 5MhY5E{ R rQoY-iL6!h^8xG.{L)_ʨ]y/A2zoY^t*%\~%sR7ͮ/?xT{?+"45A$ 2Q~M4kV3ZG+-AsuT $Խ/6 ceإŌptx[Js"#/OEyKUqj;.[twOe[dX=w}NUk2KPץa@b-Oeu!޳NR>h'ܮٕ%Ǵʫ̣o%q]EixbWueWfy .5S/X9vI Jοf iu5R"Ęɢ}/Bjlߓ`^=wȶH 92R-wI?޽t/ª-f6;L޻Gm<ꊩWe]e68W4{(.N.<9xhJ :I7I.N{|EhTyI1 {>h]`@xBkݹ3_$qUeYX7zMfEL"˴'O%>0!rݢP_j-z#N{P{e'TDh\{t=y_W8r].et|3h̺lC(̳LwiF--^"tGU/)'ĴiZ,ۀSy`[-P0q: k]]3V^RƬKĺ;yfEIR.~m*hX׌*EFS}Ie3<ӾǶ۾d5 ]7hvQ%BҢ"a$hVj$y R'b0?D)Ha\b R'jFO%o0V=8SʵO!NLX+T~$>CEaNUzJň8فR xoUɢf=w%^_ԤYx+"⼦Y}ȼԋwZ:2*ଦQJbLQ:$D [i8ҝ6p0D2T.E=4.rQ-P޳]I[~%5'kL1P[`?䪰Ѳ #T3o0PA.\V@lԌF |2:b)#Nc (O,=Jo%jxl蝖pإuEI}"4΁=c|/-_:R?SֱfxyU DhnY_R1Zjа et,oc|#nXͮ/I aV n5-_J%Vñ| Q>",Q@K,~Ƶ4ҌгKLW[L\wAZhkfh[86h1aSfyv*fڥff^zH<7tٞsEQ&]Os:- D)G"n̡0&poM3Q٩<8gأnt( @kԋcHh?f}<|Tp:LTwPe^D7oPC4n3grz֍߶4ṴlL^nm*{:l>%ӿy0{r cju<mnhOLG$Z9 ;V+n\{h֗8B! yJ&@('$D3((|UQUE>&8b7oRRt)$%dD%WfQNRoy(Rv4LPα:i )3"YY\ r>MFs_u˪2 <4X ;nD=)mrV4fQjŹ2}` F^[)&CL}L%Z#Q4/]KuPY'[ʦ S8)V5lqvYU+/yR~бM ^,Q}kȳtY0OHnk{Yz%b[5/{8X3OFN9p֍^ɂgl#Ե-%<7)J+JɲؤLxox|mzOE֦[ձ`_jԜ8exNѽM>{:wy ZU{ m &n>P[Wqc3pYx>O~0s B;CQ%7FD ga wLVQ?Ge7-HQ4FS*KshįSjDŽʰC>e`69s}e%6KUdjQ1LT`/>DU=e*+Jpe`^g5RڢrG)F3*Ȏ9^QXɲ+{9uPZ7ez*`|o0Jt{4ɶ=D]UW[5M~-:Ih]!LVjh Ӝ6+إYq{KԽh'; 9qӷ۴kR C>${NO-,k[;UN9`gоZufT"MHX( ' ˗,}Go9GQc\Wo.7޺=^Sd9Յq| 2? "l=gLS8 z}ysS[dKׂAS6Ô_ 뽧!$AV{ P_[6։[knW!S ^̽wGξjf FQޣ 3V &)GK'ND*`ܵlORob[T >w+MMj;b< Vԇ}K~ .ѪbS߃6QUmUPlߪScT6bw]M~ ;kmͺԭ[`W)umz {kVQǸߓ-G-kQFq{慟p&YV5%(]U^mfgĪNfEk(bvt^ENWb)V9k gTLvZk6B$YJWB˚2 ,.3~뫼=-T<Wi4Yڞ1/p~`U^ O9QSX)SBJ'ݵ2`5Q.^ƽB: z[l&!.4+K۾e\k$bY05!W\[(kuW*$xfz75)#jП;Yg*nW'am]M~O0}}*J44~.)PKZDI#R}<SzՍw8;PϪZ=Or/I3I}MdLWDZ4&& %_chPi-Itq1IO*ję4Ǻh”MG:tEͥy4fѭ_22HHNӝPqr $SWkR*-bp'aOJg2z ^J9-]Nm]~sG>wH|BHHNWk>׹_zN8,KBp4LS>jy(=IH.c~2;q)!RRO9|MUz'y:UЩl {yKI%g) nƷ֪V1=;Q* eGpRlGgmVBHD  $!!&unwSx- $$$!#!#$G{S3oho jQ?G RI]൮62Jg,JhS]?5}RRZxܜd%< N"UR%y5-DS,z$H{9='kGd&, MRz+ý$$ݑߣ%!CZjZT(ٿ;⛀!CAgeGF*9١Mr8'+xM)ǧ=9ؔoOڬUU؟4/`grO]<0\kΡCerO;.j0AVuRq8q Tɡ7c+UFʡ48Haвo%I5wC} LB0QL@b?y44$_Ua䄺$'|23UL1 q'$ YB>(7 P^BaJ[sptPsQ%3Ga ꄂaMCZmRGW=(RHd֙<,J4hZx.O!Jj{ rd,xL!P3#z&hBmXҸ~yt ߑ-9 n*C4(Ӿ} ULIhJ\4%q_ztF'ܺ7O~:\œbO}ׄ^QQcėTdZ+G4;PK8Za#C7˺$ϊyL<˴8OJ&QNٓd⒟4y=q;q:J#irh)&/24|-dzԧ=:a0ȃ(eY.V5*G,5+VLrks10 I_TK:1[)ʭ6YM4zN#dSeWFLMjNc>vG.,<܍Tħ*=D,P: 둛4鈑?XB3Mj~ԋ*&$ TYA6WdWES(Gi4f;EHD˦%ӡjȈBXn1NQɾg~ :nӥOC45kNqgR~PS3.t&I(|'K=N TS/LI4ǴUHCUQO7<1C%ǓhiGL]qWƕ\52FT' ,fQrOpJF6i:mci]|Y.P/Yt;W#&<% e,Õ*qcmqBm ;yLNWNq<.~qy3N50'Ԫڝ$ro^8|`)ÖӚA1eFV\t#+CIi3/&.wE虆iz(v\ ʸtk[0P" 5*U˺<LF=|ź>T To51!\ u#P^8)zb`T? (KBSD+g\]׫L ݽTGqdx!YUIZW,.Ȝ?>_Pq3$[fbYסV;s]>tE&\7`'яŪ02x8:CÆw5"|[/gіGҢPͦ 2D@eQ8t?d13qi*謜ez CJ|й i*hNqKvO$>)dj2f/,R˞kQ ^Z,B(,}:mSa2P *d:He H \z>`fԄ|rl @g}G>c>SWo[QT,EO NbyTQ f@4(q!Γw&T֥179}3i%Y t$osuZR';x@.8j9on1++B4"˔_e/ЃϦwllE+AsEN)=NBohd "@ zI jH&e.1p_B@O5>bP·+i,R l_) mEZ6ec8Xn?cz@ɓ qy7rNy(vKCL>9 A%,('7a܋M0<%epM4E4ueeaԱQĹS^7F5'sOobEzoiMSS ~Ꮵ {N\DX{otr2iJhӬ8,:'sPV0p)f&Faz֤Pt;(yjGIT<i2HVrT0%s,F{&=d '$%\),.ǴU/>咨8NI|ͩmb吁ԑ!M5[Or9vU^wUF>8Fݭt N`fo@0 WҮ2a1F`9S>tI&9T%$sX\O>pTk[[T>QH .֭́fAvQ ulaMGFEpɤ*hf{I"jRIneQ,}W;Fݠ"Iw>~bRUCpђCx6jz`c.٩*+μc&1C3mpސ eP VQt7D d#1{`oL峷$/`5_1I=) š$_*+EH D:υ^Wש$qy;4ԉ6Ɲ`W.&=挆qR+V*DbN 9O_zLԂ"4^NOuҍ̸r 얬Ր\ݲ5Q-,HhiNS=gj$EQi:w^M̺#{ϕԓP_ƌ9(dѐaFG~h/t^KE tRUntUoDY2n8F'\|D%=c@Ȏcut礟qenc@:sb9jI, 6,B^^]WT)Uycru[+U:R\UFf *Id[7I6ÈiF<F!NiSi@,eER giG?uPt/nr!K >re Wք=#:J-qͧ!?-<=cmmW@gɄ&y?:P:[d{?R!Mِw9)0N]0'V|տH%ǰ~-bFy;Hm筈ccߢn94j:\G@%m"2w©(Y %LChѲ{Fȴ_]3m@HO:E B&Q}5Uƞ@/OP̲ʙNe0):FȈ7XQpF(co,DVr#pH+)8)4.f1羷(/SLI\ c*U7y= H| F%'\3lvك,$XBjkzP#\KҰ9q7oEkSfW"TlG6%%GL?/tSoertT\e[ -9q]VŏEfE,L"7Dq/9j*H2*/\bqyu`^ؕePUt^CrTUְ蚩zdoԳzֱjE]lvlמŤ=t*XY[rRelWwFlr*{bKFpK! քUp ymk!1OU6)a`H!GEJPF49F S-#dyfT5oelBH2Ҍc}hUGA.Lafw\7;8S(.CBi^c|PH35&Gc%= WB GN4B!x(#@B4Ѽ&0xz PߪÒd f!m+BkyaFع+t+[OT|~sC^NyIѸQ(AJ-ĉ-LǍ{LVw,O~ؙ:VXBV79@$"JskT{/&nI2>Bkk| ꪕI?K"]>k!z\Ϳ>W9}MV&% R~hI1"̈eH[")Pwc>$ R"ܤi#J敍$ʴ/r]ԙ\VdӅ jpk.VXn:hzX >j'g!Ǔ]8l2'DعE/J/=U.Ģpus: ,W9E C=! ԩxHAB=E4Ǫ Y"Z%RyL}gbFc2jb)&@bp=j}b1'$_>;rAox5(Q3|ԪLݙTq(j4FTrXDQ6TIqDr'BcҧOı1vuц:XA ic%:sR^ܴ鹶Ǯh|*O :T(Ec"PuB|RWؓ1'p1eFxorp8~ϧTGܚ"#铟p}*bqeK:^# 0!&XXzXZ fRI4`e n*IB h6(>gСyh_G$vi 0 YUjHaYtgvҊ+aբ#Q\.LSA7ѨLSW*K*b{/zLU^^6 7rQs1?߅Kml09O0h,cd-L;K/j4ǥT:"!o":ݮS'߾'ko 3{ Lj| { ̃} SBfn#m""\H?6yS w tl{ҩf27M(B?'@:[RllLTDg HP h$T钒&̜O "(6p?DFӢ",hOmZ4rj?Q4\#61ۥF;6ZLaN0`5,G{FyE|eOi9ELr(!X.ſqeL]MQ3~iWp'iȲsV}=E?;OILwr/eл3nB|͙y0pD^߫/I5J0 }AXV")1xK;-Bf72KWIe|Ks*oY`t9LvSő"9' mH Ft?TA@ÔQ0B.)b)8+?fRZT7uMA֨sA=sZIK^hWylg޼M_J J>$Xb[V' L'rxMfR= 2Mj즼4yY}hsBaU'~P ̭f^^# ɘ2-7}Q^j%i(E8@|;Ȓu"FFp B%%"~ dx튑._H1cݚ iC?4&Ad B<ۂD]  !BB3+p3p_ kc-"&@"WKOW՞# _O~y&Nj4wt0C*$̂7i›_;.#<(sEWKۦ`d+ `b6Z| HQ>P[^0 !i~xa%f"MA:Qyf6jwU!{oVݰEL$)Dz˲L#oeX aAB=i=',TՂL wWcEOdM[숰t^xxq&NbsG[UlVCoWڙ5"*k6E^ юd!AsS[J2L#g.Ң(lc~B=[{G^ʴXCw[SF ҆U D~L2:niwߪQ=@_Rp*CL]Fd͆:iX~1~."AkBFӋ@ļu9$D%υTX 0,ѭ"& ׫l3O q|Q5A4N3\+ͪW.-WuiS>eHz=ٶ}m*|2Zϐ%0hF\!ЊD9嘡""t hў(,jS%Q .m?}wVCp^>|TRK'y2WǤ^*}s?TPhsk3O=ǺXQ>uKo3FzoN_mQ3&I?{BunF7%1Y6WJ~utZ]*]_4eFoQ\fj#ʈ0yQS9pW۫Rȹ)ت4shl3ny's KVqy/ ͡H HVȣkj\ FoeS|u5=}[Goh䁯ś6H3 +nuh= 2sV>tN/*b0E91>Y{J9'e\IzY1nXL{sc1?yGBB*>u=]bm1-^e"0ulV+wr.k[pSCBxjb+%E'ȯff WWGCA#m QzBse;x-.^1νREneI9XYÍcxr ^CW^ٞMG_w6D[nUPR'?W ?aXoOkVR\c?J#tsuoft)R|!hEi=" ),Nę*ip=/t\Ue3i/Wɿ7pq Z<'&2$/j i1db.ذ\ ̨BPޤ(R"t8X&n)8ri){c41#= ݩ˛\}#>}L2\ߜ10L.:ᔔ!|-qJ,nX clyXs/<,6f㿉Nm(CUtdy=DE˷txQTlJSev$kT^ǚ=j0M#w`|>mK"N"u ZuK-|B޵뱘l9 0hY4aDŽ%s5.a:YP1r('X7̞y7j-ypzIf<"ݷ=2b̭EI "uoԱs+:T]𓀁 #]TG>#+D6Js}7 [E'C}{RP ee^B/kbzsa@o50^8F2%ZUW2zqa5k_ycdI$ia .j.<1Ka'&ɂ%4O( u0+O:5 |i@r6FPoٺ-+q' \Ƒ3MUʹd?Fq  H/˚hgA_g*Ӵz|y`RZX>Zx?G5FebKrO尹}pv~hzL+RkxNAXUI"7Nz/*ұf,A@47|MB}!`e dJ(IQL18QP=܂8.*UBޜ+}dwage9vݞr5'm*.R_Yբ y_H'*d!b!z&ݩyjj%n+[.ܗ-sMeeq>Zب7d0B]uUq@-$1<$tL KYr3(c }.슝)a\o脙2^ bC oJR_Xu-BkPCdQ>.ҏRIX/o6Oy3#6V|X2HH ## T0R,$d(!!$ I$!UPH) 2$@}SƟE2zo:T`:94|sPKk)q|3|(gY՚UFJ7mT9Czw͒dYU#䛲j f&H RnEN(?'.* o+SYgW~ORm6q"+%N0$Ugbx.~Mnx8Lʁ1&iH0ɡPM'qTgxg؋伀i p{V՟e9=~rśD>piN By,ztCvo?qz4? #_fƕ#䩏-ǚى$8TI8_k<+d&#H@wũ0_GVsF"r9Z.1MvCɅٲ?/'pR:`[dοY*3 fqA]U~)-ߢ%jhϮ$ƋGsD3C rUJg-:3aϽ+FCłM^r}}C2< bhCi7&14FŝнrtW}tDs0Y$Ϩ~)>|/shcT(=qGC;r40$TW!:Lh$h]2g-O(hl1F1/(ƶML˟s9$Z6X;#T2M}'9h3yH?)0U7kɶ,J=VEP#=M_k*%-&'ʙ>),V⪢VYrLUEUwMt#Zae$pG[ZhX0 U<(o I'|-Li9Kzc%5uZ+} a "}C$5cA\PĹLm9V^_dŹAapOYGmjSB}5?$'ko<>@ bQJp3ټʘՂ|Q>)Kr7p: d&e7=G9c{?AU'URz0^߫Dsɽ4~"E=A͞)!iNTWN#8`Kh34=- x.02ς05!l11xXVE)Xaߟ<ڈPs~xNٙ[ + :E)DR/uGs0&+&`Fpxf(Z ߰bĂ`r1MU٧.X=rJKտ")00zxA QNA =+_+׮d=$FY6?U{QQSgo KNjå5!cʏuqMC[^QE:Ml塇7@EXhd$c"'ZDg,`F48%NI۝B솲[M@/i$!'Hȸ"Nȩo1`pNB̤ $0(C肨0]tpDrcP2Xj:xD##C!'. h_D_b_ s8 EwQ"H9 ⿇8϶Qx!9XAp%-rpe Zn`Nu1y6|n0 g/ǂ8qBcMtjB]Ȝဦ4V1PG{Wxާ"4Y 0P\j©-`3GgevĂ9<۪U&(,4˙<`@mQ'ozdu8mɩ´^7r9:'SA{V>׺9x:|k!agN~8q[7^O@S56tv x}YKZ ŦQZ)RU]JALZDJgZ.*ش+#&"z&z#)3J!>͒.FzM ԉa֐!+(l@9BDR휓O:BB:A' Lj9fŶC53/ qeZƕ" Ueq$,qbA⧺'oMMIjkNVu8VeYuVSY^۞P{C{!}Th߁Z0oeXا]}Q<׈;چpjo >gX>[D83vX (Rޙޤ4E(!{qdž+xh?@rtfݤeij4TNլ㬔ve#P3t$?Ժ^Z׾D}6`qVmEgdnNg0*P)[)G*c"mEID@l#>'TEqvtɣq^a9dxf*Qc!CxFTO8gqȲ0C 1 CfjnB:iedT mε1B^=W4G؏K=sev!"i v|1T|6'̶aJᦪS[KPT(::0;  ax bJkiPaXcZ9z^{,mKFf~;y_J˥|0<48{Tଗ SA+mڝQ)vS;Eo*jÆyfcF )FͪҭmͥQù1! P> +i=І z2^o*4jy d RwoTI|125S(t1|s8h c,F!<?o"Y.\(ҊєEqd<9N^y?9 ~(4X?AP)2+]@7k(i%c+r˧3KjeSڈ$M,>GcS4 ښLZ"C5 aDq|`M4rW%/󽺖.+̳m&(1Ѝ- znX)v y0g2B!% 9]Xeݡ;C@$ +;*V~q>u*^w0e<66{&a -# QG`5b<ۙVARi/3>%.Hv<%&$6SmšњbҽxVCmrI&đJ f)i;;_)wO4-e dbG6g #s.;<1%  ؤwd0߲-}>:Aa+dp YE8JWT4\fP3_mGzg#@^lI3†˔\=DDĐVC08.P apY;8SHl 2l xM_'mSc}ǢڔY}I(_3 i%p.}Opt0Ak}#? =⹚3N.L:u 4^Qy:5Eb@.  _"ys~8r+}%m0ڕ({y*a0!\)Qblӎ[ }J\g8="{LJQka{ xh)aO`1Ɛ0^^5FĔMlwsb9E:{Q~4ㅾI4& yrfJFlu֪yO!,(s,hKx`a';~&2zwT?ˮT[ZZL?LZԯ>w=,N2 ya孠KXWۯ " _Ѿ.dX8-b7;xN8MB4Ѝ40GnX32/}Pw-HݱJc3 S@ʀjkc``CML(񴧫&s[ٙ2mī=zʻFNd>11~;EkT `V_rPb8.(LPM(CB҆G`JVqx#L=J?He*M:/dH4"mEj!ěRxH, FPqv6jtCYtpz.gǧJv]EbLBș{{+9M8'QWξD \$X ׄs0wբfﻥ&o,J>1)$):c*/3<)4x1_]N*]]\V%L|Y_<8e>;B۬KE83d=cOgmf;Z8(a|^qNo;hQS-:y Ύfyuhm5^ϝ0 WZǣ߀Xɱ Q_0ĩŘ1-Di4E,1xҖnϼb h_PddAY,eCf" ,/7s vl< (ҙr>=QG6LDKA.a53 t 3; IVL,oase[;m7LN鍢>]t?w Q*|li٧&l!z_` sƂj02!v+fW#3VJqD6×vbsCxJPW4Y#ZSgmCri7S;>ks+[o InʡOD@8gtE.G?F5l3dE 5%7{BY9>KKJnO\lrdg䌨.~sPds"Oz誋t< Nhrп ZC,ƲnXA5007.-ųKrwpO erW2m_ V[:'?eHD'WhWR ֙,A 1oM 09qQa/jXߡp$Bmhě1V2hܖ*gDטs3SN- RYTQhr1$wb&LIN_5joO9`C /XF$as3s>>Pscb͘sT :&NC*XR#[SRڔ?bb S Y%~- _uU^۪ }WiTaƾG‚Tҝj' x%2qP!gq?9q6`DÊJa̪c,NlR/z|Ð']2b\A`ρ^#ɍ9;,x'Zrvc!|FgU:ًV"fc'5&1;Z<]TT_l Kd;T?WE`!+Zw! 'w[幾leIxo{5F47^ȃwZ{w:~šٽx84LÒޖķQ Ś>E>ٞ b<#ȡr`=z #)uo 2NL"j j]N;B];>?2q%Š+/MJT's45Q&S0^i5>u CW)i2ħü EIבx‸Xfmw|s;MU&2t%Lw=A'LU*j5k= E4YڏBכ~i"F^ sMK6(U͈kI J-XTBESx%P )fzxMmE>}ɵ>aYAAJI*%QҫZ };N"UBͤJ2x? QCnP6&Zw,bk&кMṔV@Jh^BOD*bsZk w9J, %@J0]Uueži2 mO"ȆPz1 )B4-8zM 4QV`ƾUmɩgEq?%, v*Jqoqmv(,dq(g[Ȣ_ؼ&VBxJF)ƒ&A>J( Izϓ 3L ؕ:7"SN<8]w)%dsL̘&#p<}XQ$ql}^G 0!_JUE8#6"푷:_ih_ 괠(%]ab_[<;MyPӲoAVsqLL&$xB ı }t 4F麨wCвAr4}!J~9FhˣaKJ/y^Dyb#;a5O$ǣEM' N֜HjIOP501t A0GAA~J9#~@ >DL8Ȋ\$ҏ5/uD):f3$>JEZ25+d3 V^$fNEyjƈM3"(5i MWkw6rkR)R\Ӎf9V~ Ȭv0qo[MSEH0->\o?׹TpϽ5KQ<.Ur4,ʛ"{ ű sg@:}\Hxcv+;CnQI\xu ofV2SŔXڝcEM AN$UB$j1ahGZ|zM8ñVv=@Τ֜ isoaA8N4x%[^}ǜftΛlNN! zP`eOv튯>;bMS9OUֶcDPc:O?2)iXڈcp} #z߄ Yt kI;f$5voH A0yC=cn#wԆIuLԢ`Mdu8uX `ryw>3Cp wW[*'sGo2ǰәG91 Ǿ`VUf[@k.cnEyύ8 Q I)T)b+0ގ(fH'%KT݅ amuل2⬯9}<^=y|wcgH:W==E|i"`qIC\,9owƍ91*Xk/(hYWQ+x`:24CyPJ2tD6D>PfnE{ nJP'F tb<ʞkZ)2BP*cyV{`nxO 6kD[nN8U#r&ݦ>g}xC)<H1wP= "/8[ۊMK2O3dk2HQudSd#(b(dIH֟t.F;89; }x k9DeJΔfGhͳWa<3.:ZS! q^3i3:=RBqcST$a,s b* Cyy4g ˈUܓթ`hTB(Q>mb(NbdA:Pc3* 4F!H]^x.z17k:S1Nb g{),+p-v +8ѵ2kƻow>{s.r4*SK c@¨s`PE ^})$^hk-FY6>BD]u!I:%l QN#s)Pa+t[dK|OeÕf}ΧH(2ձz 7尔k̿cn Lɲ$3C#/]n)hi1U Ef oE$md1:@pOk)xBR~6,8'D7#S=e3Zd˓喾iRNZwg܃#̻֦kuKֳɒM8^.We# ;G(6S(n g~6DR4Krp"r7_hs G DaL8cZL'Pn[y}2}2rSfyɍ2.FINa1Z~A|#YZsqڛ/AA/3dQ0DƲcJ.f֡z E}<5LC3L!fujM/&5f3O yb/tJ䷢ǕcA VCt7%VԢD\_-ĒTX(ç<2*wg NK# _ 1ߣ99 lcb9' ;hQM^'?$3|а* VFbOR<1.gdŐe0B 94lduLr B罯'`ߐKoftӢֵqjQ/CpЉ8y^WDŽ}N4|bIJ-EACع)))>G4S:Lɡ5e%GL ceCtpˢKYwfh1JqT 7;2% /i6VW ~\4-s>X[AP+?tyjZY'߇!Ldi=g_ചJ:FR``?ޡz8gQJD߈ F k06wFOF f%E-ْײSHaoi4PT-8*_z)GrW)3q҉:፛O_ y 'i^9<'3kyyq\(D-z="X1nHoϹ>"O3I&tviTcaWMI(""'j,""'E=lidtt%'H  ʔbƚl11^="+:tgy-2| L>ɞ!p eQXܵd.8KiF.zKFWދ},/R\f08N)2g3R^J>gOe%o'q}҃0=9α>ڣ F6Ȣ˜>$,aUn꼛- _ĬpRЊi zBrFg g%оϊ~5_&X'GE!vxcI5ʨ$iH#wQSe&h 2kfEmǦ=?,կhoX'&T. %x!q~e^q۴å3GT1WqjH^F՞Ktz[nu8QHE~?n]SŒBĐw {)q8{y[bo M ɒUsZh/|ϽĕI:Bc6cXǢ]~a g0}ƜB1?4:>41 '' c^r =k7|G2Xa==U Ӧ?faQudQ|SҢNuAς wc+eTg,ym'B@I1w8e$zPc "P`soQ.*굶ImC`Umh~%mQug>ocU2t|U ΑcVw{س⦢ +rR" "y,E!\_Is6t)NaW<ŋfZ8^3M4ZfdNA[1S$fjILmS-誹5+|7ԅlxxԏK)k!3Hz8=lfbQN(LdS( {W^|1DؗTё0aFӲ}8`,,r/Sh8yʬٙ ( 3{J8L=2dZu QfՐTH+9^|ױ w/K+z/oM%0yK8:exJ˙F!huwgŁyEsх+s%~h雟9$zȷFDOѸz**&kLQ*6-zTEt,GؤY}d;I *=Уn溊xXr>ӗgԜ_eXlfշJ ԅo|O^p&D=S`j7ӡXeVXc0, Lt.rZ%WTaLC%Bq/ꅸK?RFËh3'8%!NVD} v_ [Q%&|" .T*QAr SN:=T.M .mk?%j$*~/*mM&zw|kpR# ]mg?F2W%AQ:S;X'Yo6m`a Mr $/ V4%RLQՒ1?jF2DTqZ7(W Se,h՛cM9SMk"%""Ed B2pcY5tA*19qFőp֧eY.g Dz1T+㊔{ʮSEG@m"juR֊RͽvFH}8 EHJ M,g:%ļ8Ax3b1Q1hF 65D܂Ǿh7_E=ڴ/Z׶r3`/%WO?68x+K§üAh!]?8ytS҅7]/Y|:|VʗðE+ʏtEGU?[h K;AeVŷվ7I_*إI,K fx7 EQan=mSWaٖ5"6ފƷlf5U0+CI?I`v|j:▌Z<9ۑ bK y5XJqlf`OɵFXxrgj6dy,S +~ HbrX 1Š6u,B%X:#F'K% y\ua1F:y@jsWY:@ĉwSL[D1zӸцB&ڞ{U6MJNPJ\45D&q4/d.GЉ(y {NV{I#sL2-n){Z5?R2^cdXLfو-/QΤ=)sd/z Q\B5_JY8WrrȈS.+!eIkDM2ڳiHqHеU Ft $t ʶ]5Rlᯑm 0c%!4|ˆjKa yHQxi HCl"<@y>"ap ϓMyL ?'"rڰ_N*`ّLyŞ@Rlz#mrQq?e55K3[թPh"*{<"tͯ/,*KbQ|KskZͧN#{)(BeFLV`<-;,kf;1q2㗀 pSXbY9̉;F /RIry,pCQ?@A0D -'Qm?򉦠6q\+ .M!x (%3>W~b\lh"nj2S%'S'("#2t"o`^ +,&3st Qҽ%:Q3 aKвZ1Б/igq>"|Υ~7H>LФPW^Ze7)ƒ:g7B\ƛx2pL*~Š1ո&Ic^qG䅢TB x047}:EA9_`[h>UG;˔CK{ EccO^cOq?~8o k!/% =8a(OnJfϒ<~@"8z2aҨɘdѰVGVxE"BAW]aؓ)O.l-yzeeӠN'9)“s,vX&CJj)s^Qx]6(B[=wa.%MҸX09] .~O7&Lܠ2B,x6?c 'IPȻت+צm <SzLs*v( HA~Oc$B|J!X:Nnf9ҔSŁ^*Lz8*%> DV?VEY4"0"X"5.|șu8+u_\Xu(X;~!cx|aX?ұO3QN0`ƖzB정;-ˡDVh`0$ɣUJ~lK[&65U0Dj~&riC}1j`jϰ$RЎL _e$ Bh\xɘȃQۿssLb5=LFTxm;w|[k$\]4a+a>DAmşLt99~)Er9e ƒ5lq2}FI*mwTjTV*OnX3@!ѨItQ=sφ1$ aUR51 03O)O9Wƻ8qq{%(E@<$PQ`㎆i΁rN(/R .Lyz3#Xinr!p#\&Hw6gǷ9\##$2KaLH:#>&vl r"q)}GQT|ܕa7䟢;iz+e7uџR0=&}Z8N9gwʙ~Q&LH] \HaT cKӜi0ٟ3UGo&/ơ>խQU9`%b4Zwm}JG^B,jk6T6in(1,[Q =#6!pZ_k!<ʗqsc3BȨ'ܚ õ@d[9Mvd>&q x}5Es~(H`L4Gr;AH MI0u ;1 (?rW]F޽;sef[|@x_rO1,tݚgv4}C(6sU=LA"DwTE'$- N^BU'+ޣo*miOo$O=&Ų]h~4%< =Fu*Ţ c ."D>Y&Ԝ̱C ܊k#zVG4 \xɂ3s@`݇No'H/q5bh93i*~~M^L$`-H9&DU#:$MG'ηdY~~QTTE+2v$3{)H(LI-&9M(h=`lqix}4`ٟI,1:D8x@T"6#l){uibV׿TfzA5g[/eI)gǬ`b#q#*ψ/$X~:gI9EkmrTkq\\WUO]?i{m2W;H|?n&dVuɵX{"w~OQMski;/VJNZ 1B9CGቧ i/N<@u!1H1ꖻQR!9i&IP’#Lt6I܋KAkd,/O3wQɖ%ȱzFdD2Rn5%TS&8A;r0G37)sD_GËx>y1}@!@O Gr"]xwI.$4l9nDt%ݬHxa~9^PD@{2D[ت}qm#[zx?Pw XYhϹz_1 we%"rjb+q$eFUZjkO ,2In>ꐑWTu ;f+:LH^cۦ OW(Y g!`AճfU^Oy6jTwX :gUg2SSv+Bή6K!g 2R+jVW /o&ܗ nU/Apާ <nгN7iiZTQ17F" Lwj[Ͱ=j`zOyq}xO  YX~mq&"{` P\̈H{`Ckɾ6ML+ =Xȝ鉇8u,ycyAx(>l.ҳ_M,0.cD0%,WtbN.J9yqEp2DpP\q&n`&.gEWtg?s1()Y- 3`PA>$\̟hMY1c,e-l~>GyAhةd hF~Lacf )1by*!<֌8Ɲ~!"hgl%ђ_:Lj RaZ.i.̿ }l`O!8qJ\I /5X]GyH)4]LIbu1ߓ6s/`nf#d`l fB/ģ?i:m'\SI9L3r\5~I[;VH(hɒ,}3Xbt!EE:ZKXߜXXdNݑW W7KNK"pA7#R;bu_T?Ѱ[d_æuq`P(MnB zDžštE?$!mΥ,XeEs%}Py|k2&zy0`˅P6>ъRηD` iEx氓LFUMiM9k2xV7UbUԅ?S tI!qn8)/b(Q(9ҐKr,R8RW$~s(˔OimK eSn.3*ޓOu1KxY$ ǛŽPN. ~dIdΕExom/Rq.z­KKϬuV1X~Q]*{".qbȄBF|_9Ur2dh݉CJD2:;̅g/̦cx.vϟs89JWr夽I-R_Z}ѐ$,(x2g{Kz6I'SehI>&;r#"[**JRp+VHx9  4 +lpb\[t%0 tbyM?fXe09C8x%%,w破e r7j66فfSg+>VC-&-Fޝ=<7Vg#3z8 A߶-30Pb] ]ͱQ(wd֔l&Q"Q{Π>]J5zUWA9*\s='WvuJXvR(hAx.@,1 n2:VaDq2a@p)Y%Ω8eÆ(HÈRD\ Bx9y`)7\j1W"l/ %(!f,6 Qx;vђ D~(=#T$ }I`-wG<TÓgV)G%5X N֧}z)u:e/~%v8^t,Wb0yC%N)JO%te!c`F~B p$ADFl] CbПRwbKD4QsGij!F4MrO.s#u 6b!(S5BN|ț\SH0.$#z;yB{dq%tۢtGG;Ao2K2g Y,y`iwhpX_#7 BJͲRG66w~aǔ_%'Gu'DCj8$AFcV?? b.?!9uMkj=\ÕU|)6>R~C_XS ^K>X'Fh}Ѽy '98N2 <; TlT 2s/C>zL6^(gπ/"(eէ&ظvx)kOb%bEa`H O'ow>Cj2@OĶ%:d;ImՈylYDQhQB? |KT Q)eܹhL/Ű9̞RJr2%rDJ~wăP  u6-䘷8"`2 EX3*.Mj!ۡ>ϑ&lRW "n@[7 ݞ%qʑ{q=0 QH6PNRtJs j\!MFũ\pGRB1 ءPLexپ32S#qEHт7J0E'AE0+ zLp>YR"拁AT}T\#I%m.{wKu ]  My;:JZ𘉪j1*;fK⃓he-XCRXp(4Vrdĉ$ɋ:%J4Yhoa'so '<Hizhxqz3c'o(s%˖Q0ZKwKIt5,8OwLi3'sx?A4GA;Q L`<D)J;h92{e-.(j>kگ'K;()fYt p0Z1:\0gu)!jU6j EE_9PVk^`_׊mSwՠU\}=bbe&P2k8ót@ޅs=1y%+Wohz{TB "=aL@Yg(e"_:P!I;qN.xk8ej)6Qh*\e"P, *G3 vҩfN>>dy@-d6%T9ѱ<)aK4$OMLA|6CEfX gpx $)rDAz:ejדZ:Cd9ˑAYD/⨘$|M C 1Tu<2.&pP6?@jz ʒeFqi='0t{QAWSA/KclxCf@F_$iLp4^(&#U("(jÅ˼!MJwXЛ=q_0CzxEsp6BI16\BM@ͶI)Ʊ34p~iUV^ݶ XC M7s0T}G\Z&xep.yXe2Z=r͓v߲zn R~Z3 ٘t6&oGӞ'T]:q5gx5tRRw$q_VEZo:}GMmKW;s%"+BD5gy(NkMm^Tuyh":* %=u}M*rteL]#Pf+ 202 2d* {{/UJsl`ײZ1%SsmdVYzNKåsr_\SE`Y=Ï,wE$d)Ȣ 9Vqs 8֯96>,jwV۸hnbAA)ڱhp̀X_! m~H]' ُ?_ WvݧE 5r-aK57G^i8ћc8[_(L ssP;'$ޮ^ؚ%,1܊rCb:0ÁwWbpGA| #hIagayƥdMbDqI  I|)lЖ-L]y#%#VF$IgӴy=۲3yLkR&>Ec4qN,cz&~!x i;&UЖ}`O a`wzRTRʥm֯@΀6^$:1Q 1,*L#Q6~s: Q|>d{<p,?</Or:L17z9Xi(eز8ozdg} (( $0V߯l6-3e?>NSg+6>FUHEP|E]hޜ"h8,ÐyfUujzA04r(*\}ȽEn^yOxx7Cv_v(d-|ɃhP9x P`,z&ׯn=drWi_Hӏ9z|DEh->x%~55{C bǂw78#dP6V!xIkڳED"W ̑Hg)|1@*pRx5eCM9LMQD((R@6ëz\WMVzJĚ&7ha2vfbgBTOl ͵O5 &1montbs5ll?窝-AZ6dv@ӨFKQ _Ԃ18JrN<ԚSJRiG( !*E~k8Fi$| 8#8Nl 8ț<<;ȁe.u$ -JF iZ)CNP0Kkx}KU(!Q oV_d wP?4XlG[('~+RܧO0NN'~G234a((Da ;Qa٪SYK 3ya .Akb0ʣ{ACO=,\IVk2@2$P&xDb"QiA tY,B/4/2 " Q$uWpq+ F:$7בv&KN8Uzx7 pP砠$ATDY O۹zUtn+24藒ŜOأzxG20PlqҵU[8}Ehn&8c/ӳ!{>fmc&Y*N+ ٕt]4flC#<_4^`.BI4wAj:?\OLN퀖8մ=}-֧k񪣎xcz38eWap?+5}dL>/8cL."TJgj4۫.CWc`+*s6y`yr-"j7H8A^~ߢ.)bʣ6KL?x#HVgk#F?]5a\iHC,> D?z{ԕ9 x\=r&"old*xʞq?ЖTq'){}2 !LϨ *'F^՗= ՞'r2L3ഖ>aH^WӝnC6ڎHVKnE HOX';ʜ0I0G ɛl AHO@FfI _a}0&$g*Ïggv%Zwhidg@Sio +S8b` y vX6(,',A$NtFMJeDQy,Idɣ.OT0o$ ,>+#*M|j~& zOixhcbRŞ0d< Úi_ewR'DiO lzOx_[Qn.hO lMzGP+m,F[/eq0eT"RfK y8]f1T A.0!P)Vrk #aNy&:r 2~/Z6=}qD/ YQ2F`>&f%#AP6j,1CrF 3 [S5}֦H~7fJ!R&q&$,y6A47.5s;)fĖTsٯ֢,CwCASX5@eFcG cpհCDmzB2>YXƺdf7 $}{FiaۨQ6oy]6JpҪ;uho1sC2]Vbjw'(qG|R<(G T)P}A :gD&M"Wщ#HJ)RBT9m1;u 2&+ H쁗ׯkr,nP 8{a Cr!k5Qȝy2AH<'}Sz.DD)rD "2J",=y굽i◖a\A6֌M8Uf+>+qƌA;c,9FST `6nʀ*H.h!*ճaU>iMy)DfJk (¥OA﹙ ydECإ5r`}3Dz=5)C[>\U!UA<$12,*Eئwւ~DDoe1? 4 t$7fZM08KGPD>y M0OTEyCXRCy}*$O3|'4$Sp0BUȗ.}[^JUIJ]{"v=ţre%Kf|KuWZ\jar "N群RAwSs{=iԃ㧐J/ci $fbdcV?<| ~lSf|nd \$@pԩC=JXu6YN2x @Pv>(ʟn3اm_J=#m9([(Pr̖6Zg]r c].67^&DHsV +x֡^iYzn;5MRyz.vRZ`kGtgEU7xrdA$ì}y}N+-_?39b")yc *$iL (7lC߽Z+& j}v,XoQ R2J-3<6iRf-"V3R?,weBQeLiѭ3k[Cle3>?;vU28äJFmh#xo ij dUw.}{fQ[&fc(w:6Gs 1b K)WJb4*ldz$qN7Fح P . "[ǬM F D FŬv& !ϵS b;#iJ1ԏ4#MC YS1a$T&lވ|20Ùr8{´ ͚/1=0gj?&Ԩ '8tۦ@e9eA# 5m(tcF،kUAݙLqNm2=!?Xy8f΂;9Fs 9v|\菅3+:jlq\=LȤ9x3ވ34J?,|1J2GfQ7d&`3"9!PmK"MWQҁrڤO> Iu=d_R>rDak3e0NLJ ,Nc033K^T攡Te]ppɃD0e SBHcCC'_h<3g0˯6NmDFqbHlLwEqͩ3Lc!$ D\et hX(2EAH"ki1Ü@b\8jT?WwG"Lr/0n'{c"{3-4}H]#6i Af}?烓1qxe8x ќ$)KXg |DJhQ4rRY.TD%TqJ=Pjhj)y4&)%ݛ@38GBGThiNKV 8D[b8gOq-1|Q:#2^af'w3Jbxw\H *qRivNj!?C+d[22 P yI8#ɷ=fϹox; Pme[n' PCo[g[WtBrF~;.EcN/ok 7dlpX!Cx>JFdXLvk"U<5([x&iRБ^e] . *²6{&Q0SNT#)x z=C3>G~N^sSvv(-([NL2_[q&'%7ʪayI)="ޝ 񰎉{Nq'8 0ik%>Ӳ"CI8~?vc+CXĐK~%zG>jrv)Tyƽ|J1I}Ğ~MoPr,Q)Bnyhm@L@FaU~?M2yMn?uQK1.%gۧH&<+5=uG F=5^ISKZ6/^vSfF[U?Q2lVv4vjÏtߢI1H彲d @.C7[\Dׯ;Ź0/:jdOkDl/:Eb6s3e ,2xvtN--T )x$҇aAmqnKT({s%VbTLer(k:,%Oq! պӑo:Μb7 ^;Šu5ʧH ÃZa7VM3O?wH?.+xl9Xr'#]kʳ-qR=6ɽVZ?eu,zlqћ'bCŌnPQCKB=%$R㫸[Քԗ#~2>٦]A? ] aWVzӈA+i11ȹm$z+LWkfe̋uyno k:-01b0_iuŀh#_:Qhk9$/$P앆#Ux#]QtgJH^ϛ \ bJ &/;hPc)MF?8d'F廙F8P=-ߏzwqV;Ra'(n/faA\ ]ØORu.N_/Wj}޻ﰨˌShפFܤD7Չr) .~u$OEke8[bq<+)FYR((."0Ց !S 9~"x++z'N&H1MQ)_@$9ۗ.LJAw%v.7; cXc7WǺ9L{tbo>@lESB]"^Se9EFс0Ǹm#̵~tKE 0$ơb'4l0W`Q ]zOIutDrpXfqcԄ[s: &y`]N0eSJX٣j{5M}\*]w O2vbCNz44rXf{v/ϳ-<-[ʟ=`dpv2<6~:&C!㞛<@/펱Ȟ3TẖnLan1 ,Սz]=.Ѻ)⿼I VѶBm&A`x.g* yɧR$K᷏}%߳Wq,86HvzQЋuG##gÝH/Ouhb;aߨYS+B!Õ~,T?w6ѱAM0hǥN69rFb)g/kҴn$IBpƔqr: t)Аn4o335y?dje*Zsꔕ#1'ȱ1UrMKURfU䘳TN|ϯnKYOi1dNOj]>u ^;o)U_ww}bR_o_l~: ՝on*HZ4*m`C9z4b(R/X.٣(FYG6`=ӋR7Z,59 i) !ԔX/ĵxrZ|CCrHg8Bˇ$9 j<Z{;8ؕb`;m ]:Mnan93Fn~2q HOX!31d섭碆- !5?PUCOD BD!XOnʒ5o᳥OEEs!25D!uge;f@T \q> d\z U۽ }_up\g9hke+WWe?g\vυV}M+xྶzGTbƕu4~98>5Sȇ&`y1g\G&=[P8DEG,;Ӫ&SqIr%Hye~ ?? q`qS$ 3d1Ñ>")'$d~ǹ= 6= Ѥukx[yXDR&R,7?)b}nG-?R_ĉZmxU$+&>dpnҚZ4d^N?lz{kOt|u)8t$ 'cPBbfj-35]8GԌpKVr ֹUBsR,Tui_=mKj):AsA4@mvdOxe0Et*Tɱh:T&6dK9,Bg+n-FeV]`Xd\=}u85'KvLͻl=.큊RӷY)\3n=Hd|Z]Z>Y#,ITTSf U|PMѾu"I@ ,d6ca`:2v}|3`([7~SMJlTW˫Q^xT_z ,e3 [|Ţ$kⱉpT8*,K]A*n2'EF3OJbfńӾWIl<8tXG\M*";N!t!L6Q{>\3)յ_X'n*lFrޮBW4.\ʋ-#yGQbv_IjP9.7*!ʚ%N_L$ ؒRkm_d9|S>[bÎ2WG."W[,Dy٧6(mb]'r!$B-[5R#Vw[%X$z"qdogmb})QClN#|4>$R*/O F-Z3#Fih{EO,3$2iVPa7!V8X1V؝SL7RxÃ}֒ iLɼQ~x4/Z2YP/>M5"'rM_[YUҟk<^QHT5lĦxH-`w lv;^6CczϕÑFfDLKcCaaU#ʗ)|=Ϋ11 FuǙ7 [Q5UwO.'a8Gqk-4$ $S H\]T2dkfAT?jN { ֣@ϽQ@/ |ϭVDhӄhȢ[6aJVU=Ɣ3k8!z\LМ=\-y(G`$x{WnwDӰ7eFs)%` 7hZ\Gq!։hT @_Hu0Li}o=˖%0isW`JDpFe`LchŪ47[$Yq8 S$!%DZdD9,UK5-g͖S'$qzy8-ìMUyxu@K6a!^lj,2^.!XmP#Kӯz(T,p"q(32\H/iB 9!<0wOC:$?Jj*-{Tֺ ^_dtT;Y^A*u): 6; sryL>lbjmF^BA=0e{0 j_Ă@ޝh}V1Ux'JHK>W'0to Xt*Ӻ0d7? =Q; È(bZlspT5k#"EQu./20Y](tJ,NsŮRcD$\ 6zJ|(Su¡Nɑg_ߢO/_ݓ2Rؓc9 pM Rd.DAl?aQP&OqM(J-)2 %1ߔx"Elx: 8?`*=]HlP~n21)s|4fp0֌$_a"_ @ Yw,y,f4܉?:GK-4b}M7&;.ÿ0IE0d(~=i"7+uSR>|ئmUK8rK7П}tSŨPzѱcLܒ(o;V֦$X$`/F#&t\@:?b@.sUӠ!>uk)bkamF}[rmVgFd~=q? beP4'"$V9+YZc*"n Q2 hdڴHsSQ# MR <ƻqȽ _ 2"do×T}D~1RwR\K3~3'Yt0H=;3nsD +̢=Ye]KYjN:=%4E- y[ygFJ%Qv:kVuم *{V__z|NUq_lsl.bE4 mE#߳2_Alw-F;fM[( 8jRJ6ɑkR)6CwPTҗ#} Ƽъq7&<21|8Ɨ*aDR491䂑)&!x)52|bPdU?I:H̕!(iY4E,cUoqc}=nuDXP|й)EClD0k#iV7]L@C#q> Q^'P GCcc~ƃ\t(t t^O "~i &agGm|3Q+\SoEG[k0?>k_S1a(J{v`~K`4oͥ2|R=Fu%Q4{Oꯕ+~^Sp>QwzĘq3Vqec)8h/kg8% 8 ՔWV/Jt=clEKlCH~OD+D 3ƨPГz[_ơП0S^𐲟`ZV* ږLrFLΕPL)! lI$~gMŦf;5i\(wˉ"3[vSTiLbLB˟b|D's^t\1R[]5,Dr~վ\eYq)2P9 ca7l\P"PaGV&K^{ jj8?Nض뭪L\t!3_ h=7qRF4_Cz^G̾U!Eq%r,[Ӗ"aZnpWt`ذ.U޷[9K_zpDx2MPSѠA\4+4ӘgȑL$߶)EY,}&Zܞ/Pw5|b3=&y$5k2(*b7#ew/#9/ZR@xQ3D `KRDlbeZϽan4 n Y=*~k%VT rN;lc*v8q<;1V9qm)uD(WODû0$k {,+=܉-wP;b4.CT`|ue!b.^kI8/KĖ׏($)+NI-lmB7Ȃ; #|ΊVFoH Rpv춏, lN NP:|t`{ P Ǐ%ШdDG5/"{qIZ7$ўD"TDNux§Q}a4ǠK^^SCMl5:ٲY4i~\ei8 ~cBhMcM ޜ1r:R1.Bς(Na{M[ ":"E*sFtFg y^~4dH/-$6xF1xJ+#g5f~p,\ g_Y\i,8k-GBrWOdBgMa9`ei?X+6(l~NkcGxCNO?c5t0Mb\wur0 Gg^ֶOPȗd\C!M8h19]+:V'cfڢPI|k6cJ^$fOe%T^`&DPOIRŹgxʢ\LZmuP tm=}OX>Gޗg*qJ\6quKw{'}WJe.l'ˋ*vsX1O HUTH5|% ji`0#OxN&YΝN(O\s(A7"-VGTؘ!8QYNdlūNN$XቴƳj$? .8}I#p^SE9U'3g _6<^4F %0,GUr7h,n8آd!NYI%4f94+"5j5UuC,3v/> =(~, :29Q /mr4J q G-QWh#ZvNuݭXG~K$̫ ,OU93DkiԊ\d4թN4)˼WYFb2lv BpQE)|-A2bfd5f@oݽV_ˢYo)MFrx|aòZ5p!f2<2t"yWO~].~^"J5|Wˍ>M(ȴn6(;(:!e?i?ad-G n#bbě1f8:'(T  )F R8!wb\r;&)kLb6P|6$y3t%  Pݹn_T ߧOCHwaby2N[ԟZ& s#ƷJii QWf?g\ cdKČ3ewTh9fE -BB[`3Fp9/`"h}URnĕsӿ,KhץA3E 6|3ǰr^G7eQTϱ/$чcx(Ko9*Jb[GiR6/-++ c^Hl Ϯn#\ ] >#@NR漨l=٥io׷jl AZ"fIk,C+8FM'Cn\i7T+2.__zQ`ӓ#I?aL$O IOJ!jAX ܇*nR$N7$-Ck׋>a:{TL+g e"-Aq hJBh{(z'F$pKbjLÉ)P"flLc]5U=R5:Q N@Ӻ9yN|<$ɽU 9T^>ǎ֘.ç(f g5]XWM\H3=`Q'p+mTrT& Kg zO `S\p4)(b<ӊ>&B* ~*tߌF-ʛ&KFʬ8gڬxI-sN|p׊ȂYzLFmߔDJ{΋7fת[+Fǝkf!1EK_׭gкQQ\4Gr*gr?"Ma~Ts29aB@ @s5s%->;a,¿|Hĺ@>CpmaC8aHuMQ!gzet/A,wrX‘Fh O%Ĕ6gJ;`IJS( 4:k/_5]npΫڻ7ɵ8t ;xyJl^=|2Q!9`%2 j|EDՑP0Ә1FtsphLbKc]GYed .fݴ0譏I84 ɮɜf00s;oL},GtA1v51O -ƫ٭)OYW9b[ wG/ĞFDU1D/X7G7|zI: CѲs}5|T =&T\ĺ d%} TX.^=h)m?ȳC$΂$9r,uƵ9mRʎ#h+d_;ݐ7|\%@۝"LSHie9gm,=c QD(~(.! ZDF6W} &ʝ3f֙?o"s]5/hC\"C-32^$G2O*va7S FF !l0ya *BI"'H,%ؕ7L_$ {w8+B6usL秔Z QqIT5DȡCkLQ4I~ٻ#|M3'8YmFw|ݍ(PS4z6?aXfP IU+I!Xt)Xobi;c *|= .)|>fo:0ĥ"Nn+bMɋ!#/@SU9jC{So;*kt^n:õ Ȕ%@J:#%|ž8St~C0\% ѡ0V("D7(ǜEOFv L>w)# %w۴[T`YDj}'y}HX^ђ7#O'Z㸖_<7tx~)zGU}Fua8Cq/ (MN]Csk8'ybZq4P|WKV皵g[x\TWSP$Գce3n? ddl.P4i_: <]QP`'nBnD! ',ӂENcxGrtJ<3}9;$Ky# Нl^Yê9ƙ;uUx'Dbsü!0/zsHqW+& X yEGw^QyoL\ohZ-y:Չ7Blhx%A66G\=0ήF)YT5d# ,IkgZdU9}YI=\yM`WWqP弧ݦo׸$aT 2Qy&8{bL/xjXFS_fs,/. by Ţ"$r*H@}BĞz8 vI44O>]{|rKxQB;HǷ`) R/,aEqT`8Dʰ~C*]7 Fv5&z+/2 B F2@{/v_`NRA~!F$u+F9&ƔB~%).R~Pج ư ~BvqLr#K%Ҁw˦/>G-X"G0Or ުJߗv98/uqgJL&J?ۭ|)Ւ/)mY[JBѴT4l0C' |i$L 6nVő´N ` 8?a 2Ղ#pװDBkjq~M'DɚO'bNqW+3$v^b*ODц@C%oψu |-_7]q*GZug~NmYѰ$jbN ,Z\_Lp9}јՠF$kcـJШtW>d #Od4fAms9`F7D0^.{&K( uEo_g Ni˃|(4;MƇ:'@>QW꣐["qjP>FǎI17d|)PK166wJcPQ# P2h&K{" AAh/HE9!~k_(Ò%9 $X3E ]= T`%=ǦvX:'ފc$.-E' D({M6n sdbed\$3RjfNh09S2?c7ưӝ# SDY 4F)\c>bq4 Cm|5%9k9ud#7כ" 7GB`5ÊWus&cP˹-":fcv(RIǡyBډ:\% ݿŅqF|ӲXʧqnYT2A C]Y: aiIL@:f(GYi(q9ۣmW.1ķ4 @*-*QRLbC\cH_"7UMЏFTÞ1 Gm*Z&`w{0QRI4FK*J,1ΨYt?̗bN7`/Xv!t~)y#Ґ?GЈzyIBQutȧR1u5GW{seĢI&MĈ8l- (LQS>q qbp.!sc"1f\d H-@:T h3ћ5JЊ8okkY7%ŴϥU@3$Hø-hEgXyoҽ sQgD t<1c00'VQGH;N|1e1n q@+>o,Dx\5/SצYzeAb/~>4⇊wBSQB9MUN_:H뤚dIDE|:ȼ2bp}8WOqc$ʡ"9Ϲ:33tKH! 0p"tDDBff}IFbhl 02!={3j,voPj Gpq?`8Dy+3p uEG Kb|"'#=%8` ş;xtow'B%CR/1D'ma* <|ޫGPŎy dBzcD>Ƈ o_oCHL# 9i!P:"ޤY @,xsL@\!}Txbzc:7~¡&b-2h0 }o,YA #:D #p~px 9pAqq$z yNy}EDj9'G*E9Gz_C,NO=W|_l'z QqZ !&Y%_q;Ƥ&K~=鎃 }`+_9};dV]J_vnVHc<4xMbACX"np7LX)̊Ԡn3i~ J*K^p5ȉa ˑXe%F-@]C8#P,SϙdIWby xE<9&@K3VHĸx=ƈUGl9(%@NY:JC9v́F)%'5p#K aȲhqjP^1/Βzl/CI+<`&(.ZnFiY9S L6bvGbP*-Oo~YDrt܏kHc4l= R;Nx0QD*(O}SHx{bjQ2yl~hHY9'Z,厹9|o {{W9pLYاL}M\0%=I5\^'o }~'͉܀5Sj& -YE`5!a([Wb^ ?`;…w_^6!~̓Ig7'E"̸'"aRgZO.Bm؉p7Kq7 A(e爡z#a1\])|iFRyyOYv{\r}b _pM8$]2$A"a3y4*Y`-D}=G0 &1% ++uӍv%C.f<);fШ-0tAZcOI+'Tz`(*_1Pi0pɋȝ4BCjCEɎ60bZ2ve>4}>k1Qo;!I՗yd1>W\ۻEGQ LRD dwŅø)_tU&F lm(lS7nDPMއӼ0 OلaD!K/Vrȱ.c9 ! ihѷ ,hAMI?1ws k_܍g|*ei1YZV'UDy('k%KRӔlO&[&d]#t+F|S-3:1'o@6OBDy?tL}{WJpO,>9EY (b "砩 'hqU<~îÌY?ڪ;r+BG ׿MgVf{RfS4ur8ÝӟwxmGϺcMH[s3c LXm`U7SuM HM#z#x6 +8 ɞ9gV4bn1EJtʸρ ~y(r%ӌ Y[t}=U)1g $ 7aQ|+E>bA\E  6k͹avLd)߱e`8c+6\'f"q8DՀ0ى$J ~uՎd<*@!WܛK,8V;ҬcNѝZMyyL™ٍ!̿L\H~O(kuL%~x,cE~b. EΤlK+#BYN*Qϱ8O+ ÐV#VУ>쥼49rZWumʰegnUJ`TRxK9/m쬽$̵휡Kt)6>2y&:f,iOBW OKI6e`O;fI!6=7(l,mnkcŇB<w`[Ei%XW×<&BXPt[tf>Xj2iȨ1 nq7,Vq~ho:)6$9#-\7D) *sQ"QVX [}m\¡?-F!6]M+a"V3yʓhl<?0˨r,77NO]]'_)i% 嗨 k֍%KDA<_B*C~MQ*5>GY]&/]web 8 uT\цÖ]l]#C02`cc=(yCvR`jy/]O4XաgM63װ/vbi2= /]NƁPZս~sibGYR0Yd(N E\,f nDTbUpaޑ@i9ЉCV<5ȔɈ-Qai?a9rʓ@N Ogμ)H FݏF[yiE2p`H~B3lOg#qq;w1FXNf_RvjM gY9w`Нjj' SL=$n|:r^).E*>Y?Z>&yklM~$x, 1Ŏ P-s٢iR0XcΏhOpSù1妝c<)=1@A&ZDHg:߈QP ƩLDdN>; 8DrcL`?gEy}43G؝✂gR[!9Ƶ-!>:&sɶ6zt ! JzԍlЊO *Szq5靡}{LCH"?Mc ` uO%.=0B9Z4MBG\k]),̆m. )=;!@Y28ybGXL9f0KE qxhC2J5'Tc9@9LqT(VB )PDXA lkϜL$򵻧2#qc*q>׆F=.̱ ;=%#Pl;ETz+S6>ubg)(HBGa*xZ~:dr>z(cP{(qH}.z|˂{$˩;,RUNM6+)oUo%yaՍrc0l\fa;ILa**~!#'GcjVS\s@48De;W_W2&M|2Ztv=(1a0!ڦ;á?^pu1'L  ,s/9 bJe,"z)㋱6w#27ɍYhgb6͞Rh, eNBLc>Z_(L!Nq/z^'ٽf&&y9]pThRsӊE-Ty dtM#Q\њErXܳF>ds: QBD4" b5%_ ȏY='Ͷ*EDUɊ̲=lٯ62vU}HAB<"X0MJ:;yٟ+145ZG1ܽ<2V7n뇁m81μ7;w{=h^[3G}y03~ԽTBy(\U&O|L5qDiWShЭm}dm'on@GM2) ,O6Iȇ;aj0ˆ۔8$Qga EaLݙ#,K8tˢa᜿x2YA6Ɇ+Eȋ5*N!b!O `LG|}2lώUmA;>JG):>v" c #FvnnzҏJ &v9uX`0t2GT ڔ)4kR;>8qO'MA.Ot嬤jG'tۊBZAY2wqMI&(܍߼O{.Ӈq():N>W ,nYx]a2е?꯾~| ?7xm:~L^bpMNz~\O1h; $-jJO2oӶөMћc D vQq"0gwR0l[MԀ@F3i1eف9E8Ձv|뛅rsP@ F?`Ic kM<9!c9z|6,:D`]Co+"}n:2JTr$iJٛqV!pkK[X0[Ds3/ ;xEIȃ7,~wJ 4 )?7 dr`aJT~ m0&V"!%Jʑ{.NR3۞4VLB*ObD١CqVֹ@R*_oC𞒆#,y}KQ}-I}3a\RJ7L.܎ i( k"ѨB&{]bM?< =IR S:"n, 2a HtEaܪ?Dɒ%9:gςv?,5ƔnMN5YKs Mr&f®̈s).‚:C*5.QZd+mM&{_pS{uqEuUb8puK /T'2L$Hb/|2dFsnM IS ޺lмߌ-~=2HO7𞯨4`8Ḡ+q)؈c<o1:ۯ2ɜA(IJC8*X[szϯ4 ❈Aٞ3 /t lskn}Y&W-aqqHh*eldQRRp u^/]4qLe־dAn-Fs:VT7r*flbCyJ=15eE2aGRi [(4XRg0WDd6ΗQؼ% @b<53u8Y??Xa4 @Ԝȶp?RAU RBi1%Kg^F*NQBXۢۘ 2y k-'5ltypNJiy nAtq `dMӑh9jĢ9Guw|~S Nt1~xlAf(qw=;ő`G Z&MҟDehZ3L$:"N&EeK7 c),Mv3Q|&ƻu^鯤" 0XƒB')<C=&# r E_X/3'p!s0$hu @TQߥZ_d>`J"Ce>söD0Ű`#:.|VAaac0Zl2{oBQ|ǵVO\skl>8-J#Ls:0f'S s>N }xK[o/YƜy czߍy3A$J[aPP =R] #+JHք5ܡxs `XIbhM8[3E9~UDIaz٥rO(7iVTx*U0}FRZRVAc^ނ`v1C# -Bm0 {SVܜQ7 a}yW\-:Z7䶷uOtt"Qm⾤ [ ?T!0W]Y4x*lau2%!9=~3LSJ1LpťyswY@kEuc-3sN ,VnپN$)8ԜBDCC 2Jhh2Or:1^u$[d:ɉ=ި>Pz9f.8;Y 1)du,jぐyB$Fbސ]i?q:?%%rȜEEgۛ| T(zkȖjQv44 7O$mbjh+$rd4:8o<ѳ=RXw!P,L_YT:̃lr=g=H1*4JDd5`eQs K|ٚYGފrPo.v}zf@]!MocEЪ-Boq@{ O0lN6Сf7 ' ϷiM^]"D,JJK T$>xAN,Om>YїoW Otfu-1qn(wwmYΛAPRޥFY,aOI VI!QwC_g܊%MЋWP,R\*R(_M@qM5O0I;drt ׃GEt@IP6.wRDdKgTF>]1!}[^g'мaQucE [Xe qX6w(̙s2/K[0 b$lʈئ7r28E$/(\(#Lpشo}Pϣ(}<}1a `Јr3nq v\o +e}J5酔|sG41~-8J9&`khy3s z bk" R̻h\j 䫭J("w^zc~ yA5(P u˜5Og E,X:TЙRGDy%MPÊaC311F@eU>yW=!B,hC!7w8| Bh ;:uVP;=?; 89n[I}I>1kAR;BUR,LCe0Sw ] ShD K ql]G&of7'O$0B: 4%쮇nyINˉ019q}:pP?iZZTAc6&L2abS3&g,@OML-<')tz#m(-§rĻL| PlPh6abL^J9`0dnx7^Ėê^lm \'_.z鵍=D-i)?ߥAE|n $ C!D)mQ7Cp"gdicYJ75]r;,_Ar;e9}Rw=K@AUܔ{iSq_@a'lBhUkP:%yq_Dě1\OΏ8xIhn9ܻ'<ȥ}; L9Q0$)$5%.Wp<}J-'ؓVX.QI$V[ʞzH!*<'ͱQ02z.G~lTQ$,r,7InގjYQvAlH j$xkf܎-Njۘg 0 \ z䷫cYA#WTM3 QW氾!>{/4ϊ_WX' rGmUF̲uVQe%b\\7{ucJ2@)SR[͋9`r;9!zC𻪂z⪰h-mQ"_QTP{DB$bsa=fNˁe3FvF1AϓR)ۨNQ> hKg  vkͣIr ա!dz%? T:#5c4H ),t^[a [EIo$\;,WiԔ%]{) $yȢ[|,p. !f*ˆ!9\fe|FMӧ_4nC ] uu2|)!#YLIk0e5lqo' 玞=EmR\ɭr̮JZh/O_,nXyKbd{Fah[2}5$a-CLA?ur3塤 { X SELSs ^w T %ѥ,J&޾z5g5<յcu颦PBJ?alZMw}0/ʨYEMdǧnve:j*bMdg{֮FaBX5%CH_pe .<_N10ƜsgC{xSP̽b3?`NEvgUZi,ψOضosJ Nut8qI%A:X BьBYo⑘"Ҍ#ft=&\:'uag(; r֫xm#\٦!EZ[fika7]t}h SEeA/7j Lܭ"\ P:XMLWKjFE> q[pTlZ'(XU"v`إ-9 {y6w`,T$B\j]jsNhu(njXrWG[%;s[})nlj;9zv)>Aq鯕 B rBeЦ߼R1E /Įt̑#1hb<i S ܱ " $K l x~mAe܅ yNk/lky cƼݪixCK5_ Gb(ªy:f[ ́)- DovKo& I*MQvR: J05,S)>oN8.d}z)4uZ؍tv6 {g!;*‹>kH\Hʼn X= FxHatd{<%3i=R5'p;z+o`qN4Xc*vtg4vM%( 5 ?U4D̔#5hǽwdM3{=+ peDџAz l>uC3zVY`!5\^dV$?J[\6urY5Ek[ģ- ]hy_T뉜!cgDҤٲDn Lp.1߶W/H8T$J٨3f<Azإ<^Wi֚ؗ!G;( Ρ-['qIF&!hƓm8F|8~Ԧ(CXa _D3 FР4%V℻MDBK>C>O{#sDC,Pi1\Y1oA c^J*#B41(<6/J'?'Jonx9'oQ.$D|I'e&Z:.s~܀u$GܛV'"T8]b1pM"P =N3#) Maq4Y):=L7+ٔCQ¼{G4k ADž$>ZԄ#A)^w3Fΐ(7&虍N,Y)_-nYΗ7˖t7%~) ۔G吆zv A:yفf eMob&ST!n(cu$kMFv}!|H0}bZ%m؉p 2TJ9{~~MQLP@1 ÞV?px>UHϡ}՗Pk'/w96lYőbM aF]> Xo=#y6=Y<#Ө`ۗ',a[ca7?xȣ35M*Ǿ,=Q| B`x PS7XT̐]pM y>1d7y!@PC?FAmG !Az zy|H(h)(4Hw58y ?y AuN(`AH"dd< 6pT`)û 9NC3?d : MzzRH nWjٮ`od!伥l@7h/^CCVCNn !ܐТ=+Ctь:M(˫ȫ^"HP:(C8PԊ 8rtnAIfUJ; [8C2kJ@6FHŃd?vЄ ǀݛx$M%A?CAi3|eXVQǽ[M<""-- yєPf>GlF=l-]Ԛ7'F<(WXYgև|܏@3>oO4X`{ι=$`7/},0~MBUfelޣF=0iLM'yr^b~5ǘ6:SeFlw]T}%BD?oj\#CԿ~`mczDuݪ ))g|É=H_oLܱ %+[[ft5bUL{{e! ]cnzC~;QɝIv cxcVd-M7qc'aVTj3g*TZ:l݊OjsL"]WZUT<\se^;Od`)4*x EĔS~ D'_88pI 0@xBv, Nf_Qx3'ɴ'A։%@coEaW 5f0F%H Kh_pg8IA;©>nWj:K3IJ0.nM<"fΐM> U gi tNA8F8G⸹"6vY,.v;klz}`m;|{뷜y{V1STC{)\cZn^cup( ѕ3 6Sbيtz90D1Q?H0<00Ҍ"$'vs׮|H{qjC@a~M^ۺ_|˲lǪypd} |H>e]^pZd bu#ŧFc9LmaQ2f0эIA4fjFB"|iVE 2 }H5$t7?#Z)+ !C"j\F:bap 'b(t:HnU_:gO2?ca.$VֱgUp'!9: :[`*3@Ν1ٟ9UDS0O{.̰(Sfـ d ZY3XS1]s͇ Pq5evISngL,{(S+6*y CW!I!_>ph"'ǯDJuiW.b1 6) Hz3T~,{1dٔ2ń7 OmOW4?`aά<S'h:*^ 1~CaqJ"$w"縸!Mj+]z +:.?.E `FJG]r,f'4T.B':/PSWA=(ucSC?^CRd1ږqdX2$'0F{Ll珄)&Ma0婎s"Il>e{QuHfMi'!@P3Z6ǷphƊJ7o?n31~7b\7t i#η|P59sN0\CGJ#>cqr(1F"(窞C:b-R2!e(1poa${onbl2>a0̖)ՃLڋW ; C mBt/!h-R=mm!RvӸ* * b20.kcl5+wH A2 TS9=\7)Io#zFkIMOw :fkQ蘂"|߯}L] ;\lo8Nd466 Nj]Gץ>~' |Q\[$>v9pKO!s GS/eM*/?GAǸ7uO[&d\&rOTe-z5Uxͷ "NtW}`WWѦ*3t|,I6߉MLMysNE Ft B2D2©.̙@$eID!߭;3LW A̒"7' >2il*d.# B~JZMׄu! $Ϟg]DQ8Gf#w`.z߷b)Q!f۴lniXq{:P @j}j sUM܆C)i3%Oȡ:É.]Cx>d+ˆnX9VFտ.PPTUBVp҇ oQ<+hQSgBʲzl!hn]v>$g-ǿyCLOqVe 1[${3萇ӆg\;\s>F~AbSBqp;gd_[}#($•)ߓ8đ #fc+yyF$QJU>óL8rs=io15@q:غS/N LaV'{5Ls) EN<5oR0(p&NwO83GE,y.=qNb}3|yǐbVt`Mp{Ow}+>>ɣ)^2'SȦ]ڵޏP6P+#:I>XӖֽK&+tȐ) JsI㊟8XYRJf \znQx?Yd0iL/baD`< m.%褏n}i~^lNEHKW&oӔl_̓LH3:jV[kMϔ% x[E|~&#ܢ< XF" =aԇIK)<e ,tȠ(aυ9>qaf"Z5rbH|^^:qIV=זFP,u>\99s&D nf;*rCټN?IL}|묥C^dH/yfnS,mYSVL7k`ߙјK W|TVJvܠƿev[tŇrA=WI/>*qUQ?H+m.s} >;6JMbR2GEc|$̞Y :0v~oa#3k?fc{޺K]"Y:f[ &?@Bw()]F)$|O|<[ ;Ğ]C\>اO:GeM:/ =*H"U RLeIt5x͎gGhle?pVÁ/c֍:F: "PNś.4`V*pC0d,x;lP<cxgwC2A,jG+͛tbצGZA֌ G;:= EqK1HK XrsN(wbhtvNRmv0}OZ,w®^@5 fVy *1+A3Sk'Mm _e"@$"Λ+Kì 1\g[I,^I-GJ*2dac H7xzk( UE4\9I0S>i+*rDâxn,UڟJ̦œ;>GsH&Ќ&Y }0jV>T ;~3AP~BQH*b6A @.si :6DEӺ4foREDل+L^g c7 @;ծ~)CVY{}m[{b5B^EzboL '/g[ٔOAFQ&ӵ%J c$Fq7s,T{nḲ{'S~hP6Yq}=]x[/dQyÆl"ɇKڧ,?Z$] f}6sO$֖AT]OhP`^ZdgY@JKU(ĉP`u yd?dfBǨ䦡d9 O,P D(OIA8b~K:rV ܌pK~}>HZ5Hii7:DFEN-f]j#kJ˓XL>%RƽndvJ @alJAϼ30h5C# coә7C/ V"{'JƦm] q6؆!_Ҕ2~rInnn{4n"+Bа8kU#*[{nDpҙ!TY-5_\Xz睏!'?DhXNV q>EKP0?#,Nix,\(v-d4o.̫9,47ԃ$y`a0Yh/Ey 'VD Uձ%6`w.Zcf)tOQFdk ɣs3M%/6ǔMO[.`-yTg`xM}Hge5 )fF߰̕nYc4E' < <$dM}K~)D!0MY7? m$*ZwIoJ>ۋ7}*hv}$`sJhPq́:V?xQOE-_4r)*B_UwPJb%PkXcϙ*vFe)sSS.hDcJYo,D=l0"JeK<`sBwYyfu-T8NB}LS )%1/= KQ't8jq[tr-.c !PI$:͞10^6ZSghT FkUviW j'g|r%Ksӏ:Ftsݎ 5/v]QZOx%6if = m>!?Jr|u0#InA%9рHh5ULhsA9G@g{X:oƨO)n5y{y +2e!CzCT_ILf4L1A:wRRl4zϓT<>XN30ҎFiZwє6}TxΫASzVWwaX+&ߠiD9+>s-E}N/)クa-(}˫tr"#i J]ɪɘ0֜=:<˄w LqNJ&w`tvV: ZMlb{y[S7d̩%$(;CAlx2!?:$'f<x1m.N\A c~c&~n*ʡ n5?]TUdB#OɜS}u&r`>1ϜxZ+' N_۹ T4hWR7OQrcɔSz;+6!,:Ǹ\%hdr`s"g>*X1\٦8G T-X#4#23&hD**g5ZJ/(M)t3 *nN)D04G12} g"#9Af46RqxU:Wq$3}bP? Ż0UydpGHCJYQ.yn"x:dC"h%E8 ` "gMX`:pe5fM75xl,1׆ǖ?e&(;^n{׌ZftCy2QxxI?LIoU7U޿`%A,ʵ:YZݕfA1[lٹ]_#0!??M;qXn s:HH'J6<MhyE-(vY/]AMP"qHS3o!ΝtT%/H%%猘^iyü' JQ3Β y- "'g}> c\.n!Мf0vƋ&N֒bI#8 ϗ EKUrv<4W񝾵鉄UY!PtL0e*22$)_"KsC!՛dyOhn[oz|:ptG-ŮA&P0qܑa'T"|OdΓnCPHcA3L#Y.S/GͪMSES]\n"&*ƇЇs#6(#qU4>PVQ0k DCE=6e8CCzW!a ʥ0{d5Q0wo_b(/\j6p4u,VqVu0ѕ>J,T#y g!RPx),9&)Q΍Qzc|%cBuIXXgR0$9>0UUuDVUףrt s|&Q.0r  d#ydQŚz;f] bdq0C+ 0f"WAp. #8o%/ ư[\-LZر;h+\"Bpv/Ò1&lKi8p/lm! rhn0qlZ1蒧)Ue&$4d<8Gn(Ehҵ%hvS;T1^4?< 1.ЗhO&K)~|1}37ح';fX&1O}έɛҏ=- ܳLKĎgfw0ąbqS>DJGDD}p!="1DPf"A5 DYK0ؕ!Hc~Ϳǹ%;Y}ɘP  ݀8.5BkfKsӊ9QK ~MI+㈡5VC8d@ l \Rnڮ '`1Lz=QAWe~R,ͻ*41;,k $U&\EGNhEfAäy$K9c qvTECྴivj̒\Fpa̦hGI3Ah Yv|*&Q(xQ=è0=̤nDm[8SM7! :\ CGL@J XG ^П4y8_a_kJ5aO| ;Έ4 ǼY0SRWH cT/8d`8fhp˘"<~3`\&HejAI8즠fӝ1< zEPHza;'=u;f+ݯәMluFý5megԷHl 5`O&h˕x1ES6ma-+,gԧ;P1_Z-i %=7/Nf<8GsN B7XgElA+K2;ߒL2Ih5YL Y$]9)&X3'Řh9wr̚Dj_K.@wU2/Lɟ5Y[v5SDP qFA|4]5\CLt]huYc F NCcD6k}0Փ(t#9||kJ4'愮N#1J7x%u'ȿgKʹ6Cbig찿㰈{$MZ>!7k:'A$ cܩL_$;:ei!QbT <ҲF\l.hxƣO3LUm:l-ؾQoI&M_k| C1y`f|i)ئGz-b|$sxr{4nݼWeu)7giPT\s.T'C\ @ߒY,N1"&n?v|hN@Ssxƙ =(ܟ#(N4L܈=y,QOGRo;8Jb~M>EaD*}GNu+Ť%.e3˙ӫ+;Wl4F>N΀b +l錗P? ys%9CDhrSǤj:8ԑӛ+b!{f ^LU#6%6,1Rߔ1Zxom]UQprT&iI2FxWr<l]r#sTHchQ *rϛ":?C0Qpu~:/Cy/ќ62 g$V 3R>(7EɎV)kiÈRꘌ;'ӑ %D0˖e&kٴn+a)^_{Q 7*A7Ok4ϵ:dz8|!+C@&s+#GX|Ja[s/Ig^,Á}MƉX{>fyV[7}/;L,#*+be^Oߚ9ůzkvz^y"x J5Cgm}'ϼO>3'촭J:wM;U64p\uɒy2Xt/iLwz:no'q' PYߠc@prf_;8h*9&!@콜Az! dyp)Bг=dPlOXDp4 OGҴА&[\hf+%#45&=J@ZkM5r-wc\:ө|f5Ź"3$bߟ,!!pz."ѵs#kWz{kK-DITbD$ᣪky|9<DSG.wc`˺JOǙ7dyÐ5hE({OyrɤAP`Zhl'hk 9Z8\A6|>P nmI"|K+}X6"u;]Tus xmfHP)P6)_\L쾴Ypb'TFMp['%FExmf-[ѭbkcEF p NQa4FXLYbHI`$њͱ4C<Nc2]$9.Ɔ>-J|u {db7Բ9uW[Gv|fHCn1I"~'f BH+įmOY|KCDbx{]G )}7T5ɮ˷?| "muxQ?E~[Byv<7 I 2Y2l oIH1ӋZVݶ)ΞGJ5 ݇5/#u/IomHe^񛳿I⋉Gs:.gmE^mxuo/YY3OKW4/;f3œFӶuPNhY^;rߴ5:̋1?(T8s_ >]-"rEmae^FnBHbDÚ)$B-P $aD/Uv.:Su4TPj˾5qK| II8.}(6eNWTm4T]R#n:§>+T5D7%Ik#Dj?En 9mC)LlucD7YE!U1pgY5Ѭ69tʽv؞j@FL)( }ڄޠjQO1L: Ե_3cU*3{RqdIQq s)IjRHJ*ȚSj9/q'9Fݙ0^FhS-9#tÎ*v3,9LIhq5kԮه Is,eA~^؈#F6B̈́0qg@jۜr?2f>w1JA%zgK(-&F/Fv6G~7f t8Z3u0f4} Pxsdv0 s1SvhN/ic33@3_%bFxSDMTiͩ)7Pg)GrÙ<_O|\Qz{,^ds2̪o"l#94wϽ搜zQp%lt,Ӽ5tD P K85~̀PIhfF_+#bmۂ!#cD,K"Jъ9 %R-8q.:qɉvޑyV5 j14± }1<&h9 27sC!R2c.-ǡ/HyxΚtvFntC&N|yD]O ze 'hG9 aIQz7GԵ ز$y{qE Pq8r:JKXޖ]Qai6=!7,qR6yPtYV^RHh4֡?aWUvATVSY9]vK `F-5˺Bf1-#>>U-Mʲcc#.XiɜC_2kq?y/yαʧ̓yX< Itf9Y!10h`}KT)M 3d6u徜^eC;Fq%˓Z[2Đ;6jjE=ʨqtg臢<&w$H$o 3zLGdk2>[%#Y>d˴iVfcȭq4Gңbuy|Œ;6ix%}z{5MM]Uu3 QwJYIC?jujS 甴xFU2.&S?# 暂wF/&kwz_E/ u GQS0(yu )0GX"gl+%<Ƃ2)`S#q{$gkrKU=#)"5L'p)>j9M \ZN}C(Q1DK! &Hvƈ^H-C@ƬJG|ybZXཡ(LH8*p(;I8wEB`1Swɝv&3?lpu9HA C+Tb(!_0OtV3ڹ ryvpZRۉwp=. ?(F cNZC/1aj/Tiz9bd7ĩ;WTyO_Wbb09:Ǥf7D1B U]AkF0m[qG3xegpEh~&j|WV:ٞApSy *rfpvkYuFaJkvћ&A REJnzHE>XUd(#,jB}^_ZWS\"FtlyK9ԧ:JO I^=f`ZGe,pƐawaHb&bR|AHˋLs])ϒ>ðfuc9:ı1Ȑ&8X<_q12<(jtT=r4)!X~ zΥ"%ʴzQٸ=joRH50$>)^)i`{o-M5'v^iٍ㜠6ۢGB_OKsD!r~] tƍgl$> no{fʔ$M#Fc3^rb;XjGr0G1($1l43V9 Ŋ"bQqYN,l ]SzY{?C)GrjvPV!DAP-L9C .xi' *:a8yi8f3c+nv=uYdr\cEL3i!U/{DxC' TFI>B!d~E%G~B}yu&>-+AȕsFnA/}!Bqܒ_ƚr= lNߣ}'PLsW%T=ڕ 4kҏţ^nD({dZLa1B;/ctXFYq_ гtث˪>FNN[N#Ww.-sC >Qe{FA`5./AcXU xo>x@wTlI_HSdH.܎ ngXJG&Y5wP+gWx7I|o .Ǭ\+0,y5 ?&Z G2Vܱ+)6%ڔT-c;ac*!4 9QBL+D~C3!:`It /U:9<d\Lt9beQ+lݕYQ٬)"N& ɢ|iCy [UC!7adW}aqy{7%$ۻ4q6!OYB#{*7cu/,ƛlwkKۮdDn9BvP~'"$M*f#F󤳐pϷdN&0b7flR`ЛH  ێ.NʐJ2THm Aкd;>qXoRd.(Vו_]O9ut[, <4G樞@_1C:5ŏ& ynC"jаU(>! 1ST, .ڐ% VGLs?Aٹa"e5ظ^"TOLp 0ˆ'<7'`Uؠ@CH{G!d3IHNI0M.o&rJHDOۻ<$@oJ&X;®~zjL\sEW0|owƖ痱 a(rhXF:XmlD^C.;b< R`'&2]?y ;cp 85wmbg2d] 2dɩ$"vXOM!+ RŸPK8)j|kZi=ѐ^nv*6$ ;HRbtAl Ƽ9%G|z1qw w A|\M"{_xJȢ^΅M\ + "=sϻ[=MEь㵀9kO% 40˳~;95S4l@($@`nǸXH_Yۣ͆ a >$IK3\h\ɓbg.@a˱OۊQ?1Zd=6g3q"'pLa|͑^1g(a'"J*:WMնiN6!-O\_Otz $KvS4ABUO%͒7̹+y)DU;neO?L5I\W&]C^RǴe ,ey 2A{UTUpc]i&OcSV^݌W[[HMV.KZBgO N9꿷 q~+!jGa9R(g{;S+61HP"C8(=@OQ|/M*G5qJI6@/%c9$I̍zY QޔrªteA4&7nvX%1ceCZDs^e $ ` Z)"d5a2 1${6A3 >q4@nUf$H\qzjhq,w+dDgB\HL4 .@TFOX4@`=88aK#y٣7x`.oyXQ3:Ud9M7RhD:7 byHڔ准";>0J[`H|r~k9Ehy(.b6|fTcL+m]{q1ॣ Q%Wh"FSj* }>oʾI&2jtsY9Ă:1 p & eTͰ86vSJ'FP 8nD}oe9m&*F&wyF-wI Mg_Da q$hrء0>94m|KAVMݝve3MHgc~?@>*WfN0"B҇jom4@4K;gNh,o Q?;9eqs- XL)PaLe_}D\o]/Oo9D=-p!=+⊨Gu{CCj; VC9scȣ>7Ɇ NMQ/chr({7Գ J )b{,$:Dx3^_6 y5=ppRl>FBr =L ǫ-!ţ3l-O& ft`Fpj> #W1^I<ߡ5M`Ι:M9 CB`MϬ BLC78Q1g?_tJxO0!RL3Z}_lΞ躢΢I#@trDqX?5B>FN|T?A~Ml$\~굯aEſw1jߎ*]O$h3_| $!#kdamijbZkNapwҐyAԎή$ЈrytbΚ.}zW)=}9gK_IWKwy=}}nDO| ޚ L{P"ƙIhzJZAm%3aԦՉyɚ0,}<tρ6LX=Uȍɏg[\_KQ)[3x |KJ9bIH^d|3:B/>,DAQ 5G/԰Z &phr|gwIAi%Z E3k_M?DԝZSX&I$H0G rA ! "@Ti1$T.1VD@H"TBN?wmH9(0BD$* 0@LPbQTIaG,B,,P PЁ$"60j`"H!jG6B"*haHId&4"B,ѩw'ƣF_ "bn1 aϐuh;W)㚣 z?i;$b )^=g;;0~e2'# IbdF4[ҪsJq&TLAI4ĉ#5v KG'|&8gp Dǜ{&"DsKvx;JGYT?E9EzLql$gG CHy-2IIVXG( ȖfœbT/n-i s\9|]Ca')H_^3>b}r[Ϙƨb#xu [Sum(kO#[8Sa.DRx  D>8]Bu-ZEAM.8໋B98 q5 ˧5&͚,U×y(j+ k݁UWаρ98ΣL? :um Z xgf ZW5H&Lkvoֶ*UZ$eɗ>1Pʎ2"Z0[5jRgF&<ܦ"oMh|5\f|X/dE#`3NP4&r9E aHTrл'@pO>(w.`!Rϙ%jZuڠ(X+L_}_0 )T3Ƽ1vFP_? cnȃ~xǬ|8vH;/ c6})b0km`KZAƤ#5|Gi`7\O:{hx]%@hCD^]l )uHyG8z $oSv E-E~/yXǔ6ܸomzMp>R>>PmڀK>t?[<6sw6ug #wad~" 7¢iɖTҪnTߦ(E+dCOײseS=^(vD +ml_7O44EYJR jmՏOw\ 9Ol@<(``㗄e8btddv;DPG')Xc8Rd$b %A&İ%I`ԦDOgHi\þZr0xQX^/^|~SNsr.ݽV:>9ȸ>Ix`&͆ungEcQs]Hg^tO }/!ZțHj4G,6ՃÖ'L p`]XGh.y :WK:β;41N]׶̆;45-!b\^u3{ni{cǞӼ.l]5z=LNZ>2M;QXٶk65IK "_Hdj;ͻ?\۔Qu˚1K?0ïJ%j/"TAB%H*`>Xl_<N )DA'-2"d^zFS;濽~^WQLDm`aӸN0Clq)tY?2i݂0틖9yl\-=9o>ZtADOB$0ǮW?_a.y_:T2{54l+P<zτx;siAhϽ>9Ca #b{-}SL^`p{񺯍ε/Nç"욊.XhO)҄d[EBvI1!llĈΈ"$~J{0G!9]G]F%ӿ|:atdu|Y"! Ԡ4tNrH&d>w_AG^y[rݻOɵe I#$^$JR zY|ZVuSD&Lj#E*٧b,J"hKĩ^Gw[%G}>ſGW8ĩXh)Z=}+E=%rT%ԋ$TҞ(4?:ȂeK,P2#SWP;2# ˬw!檩{R k;4EKѻ9 tJ㪸xc8Rf 3.~!L~D4?} aϞW'B@3bH~X5|3$$hƍx CUc߸X/F`<{w:v.v1&cݔL8EQxX? Bbw`1)4^1F4z/ÞYKdtK"b32*b~G[4X #VleB?{5I[T^,2+k 0`C8q$z.a/| kpN^ڼfѫYJ5n*^cT=)UaͮA?VUd #+޿dӞQk;=#(*ȥ|~Ȉ%9!$9R*{$CP{8 VKYn6AٔK {KG(o){*Ӏ1HBq*nMI!&8+K:9ko\JW||gK6<˫ScU3u7Yer|ϭ4ӌCt fy 1}}mq4f{8d̙5vo х-3:YUE`|I蘄B0+$ BѤy a2g4G>gZ+M@rC'4w Ivἶ۽WGST@$4?&ޝ1~qbn("Cзb{gR3g:R VEݝY_Jn$ӈ)a3{xw3qVw~u>t‹Ұ龎* vm*|N)גV a׶]W~J8tXHQG _ >>ŏ= ȏbLh x> R7|}=4I*6ڦ@՗R$ !E4_{RGФ} ;T^KBwz4>|k}/uʫ{mޯ}g[նݽ;wsV^5]wۭ/k}kコySw|y/ow{2Gn徝}}j݉oxl][Wޙsov羾>=ێ]4ýz=}og봱{yu{4Yw/}>޳agS7ìsn{Ͻ}WNݖy w]wnfMsxMםezΝe{Ӭwۻky{#o=緲[fnu˹4{v={[Yֲ۵/Z9ewovۻG<( ѽi{WJsz7箃Fwsul;cm][ACރۻ_3zՔyz:zzvz{yG]-S{{g8;w:.}{Gų-v%Z^kAj8-:|/:z{쯫w_|ǮVFmz]<Wdz=YwO|rSVp{Up ^nUuypϹϏw^jseO{/n+I{u={5+Zt=z/kP3{۪{;z[ӽLԹQZmbomwfoHfQݫhNdxv v:W.Mm0]jڗt΋ܫrUƐ=筶JPl]r,gm:t-w-\YM֤B3|폷^Wl}b"mR^SVc7u閻u޼h-Uk5f۬uwg*Vc)yznե ]Ͳ6g۟w+ܻ7;XF}Nv} ح-fzm[n;sۅ[+Mgzfeo!JQ{[3flp鮌>R* >(A{QGϜ>zq@ 6L8{}O7jk>p޾71(E@z6w5Gvgjwwwk>}xrRj{VvOs>=}{vޯ3o^s>>;`i;w{oP[tuO }ru欚;Mޝ}F6ǯwۍ; S.:{J);eKhPP+=;׶=wݬ`P5}w|Ox֔6Ď˃hז}ۀ7OGV!^C[.{Ez@qjA@{kZ{Wq=:֨,>T }ѥz@`S^TP{;` t4݊{A]ۻK7ӑ_|k+I^z{[nn/T+=ަtw]ݶû[wmN/vn4um,77wk{}}wWk{s׭-랽Yeݞowg۩7[ڲv^S^}7뻇׮nv-wh +iӠ[ӗM +FۂiУMoW{k_w݀yOc{^Zima:tiMr;}t{{ssh뾗y쯕OT]qG{W]o{w[A&OnzjrZy7xݛֽLr]f{PRwh}|v=5{^oyYގZSWO7;k4uݻlo=;׻K׽뺧/^%gs=6=>n޳ڻ׫e{v޵<׽˵]={o]=5uJӮ+۽unYvN]ykZt^ηwVstmvɬujk]vpnֶw6;**eMiduæǽ՞huo+6o[}8sݳן>ޝw>۶v1롽^;ٗGn)UZS}ݷ-]v׷k4} ]uw=7sK݉ndnv厝׼v{ּs&w\O5;S{ݷk[]b;Yn5/Mr1mKkԭ΃ s{/{[ySk{^[rt'f}:oq׻kݹnמj{۽p*'jf{w.Awەo^5mZpb\ktu^5n{1ijʮkw{ݻnb{ZקGy5Y&tzݨ{U<9׽k3c=*{qß};*mVnnyR}}>Mqm8Sen^ݎd Nm+lwl.,zֽ]uwɧ7u;bzܸ[{]6ݷ}续n:׽뉮{=({ͮW\;=y{{gyo^ѻ}=zç.]w;^Jw:ݺݵJwO/s]۶wX:oU]Yݍۓ]d\}9/{v(=n{{sx=e{گ{մkݜ;uݶy- _F\Hk{)Km ƬMR R&444 h40hh44 4T 0MѦ 0## L%J M044@i  44*P A&&@ xLL &" & 4di CFFM h2M 4 44 MA)@a44 0a8 [ihOYtՂA fU Rcii@ٳف#Cc톆͛ ]iGs;4 RtSM  JI.Z8dkVI-l2ZZ*L9 B +&8Uj%TwRJ+-f!&Lٳ``^]ëNI<s?=D_PnƩB6T?%w9pȐR>ivfO&u-LB}!cr:s ':RռCvֳRTTVCYXYV48Fhf0ݷg+/!&!!i BKPHo Cy )S& }&ݼ,$f`qrj^AQ&а%df& '03kJh> FPn5JmӨq`QbdᤞƿI;oSyq$$%&.-a&#` ,2JEtzRboӉZ"r+b$OZ L4)ɗB00d[ޙ00њM"FVVKHV~'yաxH=řLٰȳr#:lN_/v&A,$##T$"G7;ww'sdf#eeaܦeNƾ>==+3&3 Q24oNXؘT Rӑ)YD911ubaX0OrlFzYC/ɀ C3$ccpsccJ"bkg&'$eeb³ξUr7vvvx9iZ6fg ˅MJD/,P4u0ptPTlX䬎W8HI V9׭~!b;yvvhhj23;23$HQOQ>: #J+| meF Wdcddee$IW!Jܑ#d99m"F 4s [v^ Sፊ66Cd,ӓ6jj>Zzhhguhgguhyvx6vd3C3>-eeossetba"bYY1nI]!dY]׋%"Fwt%$krV-cp[\VSǡK%o'h_#1%u{ʝ{÷~~8bܘ^r+)e^s~ٺ[ho^"Oy? ۟jVQ.#Tw%1363a_3Q2^ȯW-XQ_\_>ӓ:y7kk%65{7WT;yvn VU]UW}/oڇ"KkoMKƑQ;TUT}?InyҮoךY4sD2>~;lY--BOuK9|+?Cbc7IimKOOi8jw-57y׽oK)xh]*7tv:Rݩn}wd^Oúl&Rr!a={߃\usxZZw-5n{>㽸f~| u]֯a? cx*F&&&(V*]A!h<.8g;򞱄1| `lgp3mg&&&'N{t8U yy},z?{nauݻh\NF2mS"ճАM vTh.^ȤqRL_wqbT>`L=7{ɉq€w$o)q$ $K% IHIBY.IJDP]" BB !H"@nA@W,0% a0XB<ۭ0 H8I Ircu J! QCLa  CC!rCBiaZPϓZ HZ/Af( !`TP5&A2~^4 kg$=mT{dҤс1*gI 5r=m &l ,f JP`,@!a%Cik2Ld8ngl1 ^!z0ii&,BraZLdӋY ɚ/a3yZX}.)kUjZ&[[9G"A4JB! MN!si|bL, l0f kp4#C-/V 2V/=gmybb@a SbrѣnBƣU  Ѿ|CNp1[5iPɬTi V,5AZb_nlAH& $ͥC4eҬauY&C6}Fu\ՙt ^&ߊ)Ra Ed&\r6¦6a[iˎhѻZ>l=V}=dz͓ hZ|K=±Ѕ3Z349keKVy|!@әkK6Lk9vlrLĘj^[%c/ լj ±t(˓n&FԷFxiLn]@44˦-.L9rlI4ʚ(mjz!mN0p1.@t:m`rJXZ{EN 2I&lڊ(':rktnA Y0i]0HPtԃU~ch|էYx]_;,n, o$'EXSNad2}3,`{Tˎx"'N1OSI dOCM=X-(l\榅ua7zi[&r^ IT8k!6~8o*xčmRpK$k  kIۼoTГoT3hU2t&7 QZa\-+q!٠88'O8t4."e5h;ǚSLj'a FFM!g-ZG= 3sYU x+ŒF[տY`eLmO ժ5\pkQKUP+WQwnY|o ;vƘ#g¶ȷ1-6ZgS.v OqcbYowMM\n,9fR8oV͛g-Owigile7Wr^_;:{u% )fOyx^󳯏}:VR{%_P<2I<12Ox;"sp؝'2;fr~V]Q 1}wԲq*c1fy h$}R?=w/gh\v{Ty.vj881d2lU6[ -c+!J5p1Օ~,\ؑ{d1&;;;;n9v/]}UHy ֬auS=<§au:X 2RN &W>ӽSd#yYGC!ɱ{ >C:MUƫ(de:V}?]FO^jV,ˆ6|QՎIzY#\H?vN:::]ds,+\G#hsۈW-5ٕkkzpyyhr;!9q^.&_sbccǸy9LVz12&mbqjؿ9mW,G套7}ֽ~~?H.2qԔin`̦NjxC*2%TN8t1B>Y3&)"yțtݓ*]4}, d Z&u&>bIOZĤi.IK&d h7{=y{I!.=m7[L!=5BadD(NHUWwHRv @t`h &mIJMBX{Ioi;X;jt=XMBp!\^JhLMp'pJOJ1=iTN,d&Rq/2i&7DpO=MZR\I4RmIK QA4󙶔ۓ^bjҒ&s9_Lb)~Ȼ~_?MZ)'1E31"aD:Fz2!>G`lQOjiDI@2) F "HHiY ?B bF `1bH0DHb""!$ IVH +" Qd! d@H# ȌE BD@DF`RF ! @X5JB  z@tij`T:ˁJH" *H2"A! DAH1`0H1D1*TTg@ $0H 2 B$dbA$ @R@dV$RDIVD I@I VEYQE@D$A$A!&* $֤H RD"RRRDIK&A.E9LHe0R ,*YZH% )),c)Q2R@2A2 $ %+))"X|8g )΀CA9' s &$@ H ĊaD B(P@}>*dfUoZWZ~(4RȬR>وHV+/qgZg~;E]eݯ=ګsP+nK}Qo6{GAMXAKݮ?aT9p^n-f_[;4LvP g}d/m`q2f= +XdrԽv*~CdLy~~}^_>k~J (NRK%MEkVx/~ˇOo[sf}n>|wwQj 빯vjiFlemcx9o6kc0,Ǖk~Z\}6wmn :Y;q܉T>!}'*OyY?e:^KwtnR+d|v%ɿaLv/nOKݫgе#ww{݇s..22%jHϕYҴdlX;w>JC֣_a7%uXΓbW5e-U ,2N-K-gىrg+g=?} jO\4.gpi7\>6}:y(8g礿J9AQXRyNt;<V -&$$^W`py{Οg+ʹ{ tmfArU8q8^o BY,ӭ]hgvziAUu˦irw˟gtc[}hۥU<[2ihaN%m~5ʷ +Mf+3Bt^Km٣ơ7.NƭDn~+gj?oB(֛;׎ݱ6wFSHӷX>J9sz] 6'xKW?>߰i?i}yn6L6WƓJc:H>']ZFq󶲒GTyL"䷿Xf0?}cLt6}x~|"㱨p#!{wwMl|w ԰M|?Y=RB5:d4 Mr~ ,5o&~pF݊ Qr WOII~nL6{2,^ _.ɟm7vV. ! '2u;/.*Wͭ害5o]Vzvͯ`jjSZ(M~RWuvT[O7͂c{W4ڛdwfTSn(fZ nTYm&LmㅪX:D4 dҭ=;aLˀzϞi $ H>0Wd kBNK"X.;H p``;P "tBI6:AWw$iʭ4Dȃ!ah7t+·O1O:98C C@໇3 [ȆD;q=E=v)6$pq!nbD+޸vyp p{p0>4~ 萤A+^.@!C6pˉi &}0Mbv㴇w1aa0}H|CBA:A'LnĜ'uẎ; َ?h<auƆvSC d;0?D>Bq ( C'$GA A p(D  t$H]܉ #)@x)AG/`"74@h2 !|2&C#6 x@l73)Cz B(p!t" *24!b |`H@(DPsl`>Ab! \B B,)A4E3xSJ@YH$f"=reeQM j\@r?>pP~ك(%ؐk ` P p{|PJ BP `J A([Pġ2~Af $(% A .@J  l l l6a lf""lf0S6a4 J(%5 A(%HxP% J B5PJJ7?@>8!˄N@6aˆ6aJV@`J ЍPJ AE+A(%;PJ A(%PJ A(%yPJ A(% XRPJ A(%PJ A(%PJ A(%PJ A(%Pɡ($? A(%8%PJ A(%PJ A(%"PJ A(%"PJ A(%` A(%EBT!1)V$H h6fٛ3"l͙;3fl͙ě2"$3ҝ 6f̃ٝEmM]Y'R& KДDQ(J%DQ( DR=Q(J%DQ(J%DQ)6fٛ3fpa(2  / fP.̈3% "&̈2ȉfP2(3fP6fXfEf@]fl͙ J%DSV%%.Q(J%DQ(J%DQ(J%DQ(J%DQ(J%DQ(J%DQ(J%DQ(J%DQ)B%DQ(J%J%DQ(TJ%D(J%DQ(J%DQ(J%DQ(J%DQ(J%DQ(J%DQ)@DQ(%DSQ' Њȗ"lȈl͙Gb%,iA% $%DR(D5"D$BA!zJ%DQ(JGJ%DQ(J/!(J%a(J%DQ(J%DQ(ٛ3fm(ȈB3flٛ3flĢQQQ(J'DQ(P@J%DQ(J%bQ(J%E(J&J%DJ%DQ(J)DQ(J%2BQ(J%DQ(J%It DQ(J%DQqQ(J%D DԢQ(J%DS){DQ(J%DQ(J%DQ(J%DQ(%DQ(J%DQ(J%Dٛ3ipJ?,8}:ywk2DqMֆQO:MzaXbVTr-}, M_^,3ƂPC6;G|o)@bZ:%%:~sS T n4pe¦݁ihBg5ӻ͘[?]u|ԚV_Cd <#LB@ 0H& 4I R"@?"2"H `(b &Ґ[@@UH1rH!EFO" :۬;AHUl_8R A" H b H$w@ĀuI4)\kZ !Y@bj7@Cz& gr]oDݎl>6slJ؝1J5>p>  $ RxД(;ٗORζ@LXWhpF1Uֻ?7P^"f"w>Q9ωtdN)9i~nA}"ah!SQ☣bn NW|}=PeU{Zb F0x4"$A8>`u* ZPbeE>DM$A-F˴oɓX n:i@$ZgBۘ0݂pwG3ŬEvO0E^qIPqI2C+_Q D@>o<8S2C(T^Zi:p sừf+I+>x" g#tnDSȌjuzS2'յI@sc݉]#ӄ^I]M3|K2~#7UBq=S_lw϶?Q͑q#"t;ָ ~?N5vV{Ǥ _s|iNT/Eq5T9тnf;~"1a?9*XmG,/4= sj}{6ğK}zK#X(" <*;@nUJBjG>M-z9Dp*hq@Dp DOqb'l3?y@<( 2mm`IEl<íN0ȁe0@/X~ً(@b828FmYCĤ("_Ŷ#xd%:c0)ֳ R!ӆ6fPI؁dN,T`? Qm˹9Gqt {yu<>Grj=DUz$lG( !DVAL8(I&-U!f3g8<(%V&}8iYK3&O8BJF漲h-"ZR `!N(2ӾhrF䞁twEJ aơ~ϛi>"…$y*Rt}:LXE ;Cka1t${ #choE&UDb01m 0L!109OQ.$(c@D+S3A V H2h&hV[ HqCjHR]7B "JAjš G7y‡ܩ5Wr#{M;ў f Cx ǹ8CtI} !&"{*pӘkKPȆ[MDך=aiyh;=GhoJxE"\[2CH^eB5@aCh`K*;T hOqTdM0p}^{EWQ~V]r; #O_ƛ?XWܿOL^48)@, ػt-߼D V|X\F*CRe<s}F"]1C ?ir|Qye?KlF A"oRXN4Hb& DREuith!tIإ2]) bRb%ғ*D=bY3HR]"DXM0H2ɸHLSť& "xĉdȮ)̖KIɵR],&"RDH67ޕ!P~"ABP ňc!PFab><\wG\q.0" mϢ? P_e!dB1&'b{hHe ag?BUOi . 9BjF𸐥t ?Q?5s|x, mІ"!+ {@t 9 (8'Ц S uː/[ڲ|X(7*K`~M` c8M']-sAB[FP0$N7Z!gz 2ٶRGv6©B 'v?dIѹ;dhiDºxZ 7?V Jp)E2EqFA(XL  ]yĀur5`#i$gLG%œ`eϡ٥n\BCزZxP`iZ`Ж@rps4_S h>Qt'2?g)cۘTߩ/qpNЕ"wN8o*xk)[ 7u h-Pj ]}X0+k%͔raLlp2]H'P3 }OM9QSc8 0Fҁ͐> DZP(H&&@BY#a-d)Y)*%$,It Ё/:|"'ntpEBDw-DDAA/dKQuP{Y)<IDaM3+4"ڝC4p;BLK`QqJ +Jxn &_kWE2%ؘq n(Fd7,|aFsǞNZ  :l 잴NA-I0(#!˄?<"h4[FrFGlCAv}lawXJ|+ EcdBzeEFQIXQubV21d,!k,El8Ў8[%W 8# d8* kqcd'0]xOA;&frdgtr ̵ a!OxƣJh K"‚UC2'H!P2`t,+BV(`eoEl)ƨ Q;*,.Uc=񰤑"]$ .lď [l=ehg\Aũ'm+9]ⷬw蹲0>Gmhz FJ44!H fAR\ {l T8 ":5e޻ v4WB)GǨo"#'c lf['I1k>Ϻ  П*9`UMp嬱Y\ Rh1'+(b$X"9$XQu(8hc$M'"Z TpY,d݋0a+s8t(a$%3/1.k0*r?"l0\1Ь4 `<'2px1 b!`#^yF&>=h[Gۛ YXIިc!L3^,wò#΄9@OaXS-Pd {UA^E$2blkg C'vbĤd*7W{&t0LOk`$ iBwY&xZ:etIWh.~`Jz(+DXA2~f dY8uLsBL.܁ "Rb Y[9?I LEDațmqe[0yAҞgkS!2S>Y#NRjl"r91tw,%Ί b ȚS}n= ZÉ: ԍQ, =m Dt&^I(N=%A $K%&~q)Raҁ0K%]!D;̐LIg.Tݍ3QeDS^1@@)"{$M)JJbDSs4揮xD=i(Ȳ'99谭@"|Jn/n?J`iKϐ^Jq@\}Qr\)+~7ƨAV5)5'h5cщ)O!;nd3f]Ɔ~$3o$`dY˝ѳgC)Y`#vcdh?c&$:qgJC#~c _i)Yɍyw&]( 0M {80Ssilјj2gn(64фfv+25?GГ1c] &wM5pW^P}0a6(w qK"6=S##~6fg;ԟ u}M#g:W>+O8p)9GǸw0}F^EN(Y0pd_$ԨS>FDVa ʼn/?Gh_ɢ%qC$t2_nSe@NDҰY 8U<ͅ~ǃ"O A6ɻmՓ&q[~-ѳ(NWDI~ 1+:fCMjbxhMO<޴PTJMjZ'dƀ)qF~6f/>#N=~p?fΕ[ 쓻dF$y- ^H "<c̎J>$+:"QHe\J͔}Mlڒ`{Û;e8y!Le\,y1DJ&DU8 FW߿.q0'H/g_[quיFD )"àT7$b (@+hXĊ%`'AEH 3?@eeiƙL.=f  QqK{Z%X r, dX'NqyHfsNL>e˂6_:$A['ْj'Dm8͖lMdP9bFJ7(;.2q,B0|ͬq+(76,B7#&]5ِ_T|Y,ǸhOcEɰrNb4P!## cB+k_J1d`@S%-2^EY] " &ࠓih8.&,<} y4PaydEf3$c9}MH}d05^mry9}!8 IE e .N~6"Rp`Q62rD6{豫ȳlo?-:E*&? Y@RgX]~q°&- jJfw6Nѣn̻Hpok8z\ja^F4{՞`4cEb0IG6 LMĮ"n;nW yu0hdJq3 zOq9э !?s.lw#6d܌=-`}*td5vKo:x\|by6_1ǂ)GJP3oU2z`4x+*wC ZZ(ŝji?,6LI` +I^6eCj2R{ZL+d4Vq G9Kƃ͸\,1y5YVpcr$pxfOȿ BQQȊY:[ԮO ,!,$V2^FʟL>lϛs ecg8vaYDPHB$`\ClV8 E_3Ն:sQm5Y5(F ,Ľ̉M)M(}N.A f3AGPă N~}&"n=Fl'+,dI;ЉAHC)!{/}eW8NDV8Y\ r[$*!@===ܖ SDEp0 jhIͬ7Sd?N DoRLLUI ݌>1Ós=&=d`9J@scH 9AV!F{EWTe8jm&{m Îi"&<@h*?G-vw@;_?=A(L(@[bj%GćL2yL#߯]si ?&IJ JR!z< &S+4+rtDϮXKEV(wci=+Pite`TYѧ`v-sew6K3> ,l}? ,Ny #wξ\p,V:EaE7e)v9ƿ.͋Y#O^YY[ jk>g{tw+ tB;"e4qC[2{T$ߪ;1b9k/>OLs>;OI  hB"uL OGB!MngGN۷kSB{EːD/'HK;rfKC&\0ݟCy`M`9&\f[DC2Df[15V\LspyĮA)#+8&Lf>9yD5a )tL ޴SOf(c~zFx͎ OP@B eÉNFILjmE_!5!ٚ!3|D;Bof12  IBLv q[4xcE9IJ#oNot,%,k#"D~SD(#9Au28cJEUeA @M],gX?fΔw^s쯚.buDbS'Ib|ſлJ-gEm}?882 H{4L`%g7o_ZU8nd:% |tX~+uWY|!H.A[.lޡ. HF[C5 b2Aw6݋^w3][܅BH9QۍrTG`h9D>Dh؆w?֖&ԮnHGBȱ7RQ<+usNE ߟVMVX?#ViV8$Dl,FC&d  0M ~FS5x[z}J5 I ±h$20-':j+7r:?Av,NQ%-! znm5]l(&1H9RxIr< 13lY A뻥N<ҏW-̛y"ZH [/2͍hw6F1JEx4JAK>յmKg L `)Ua5,=Vƚ4 @@v Y#xpΟq2XGo I4QfC ;0Oq[ѳ Ԡ(HdWږ"hк;&+zl(~ԦZ;In"byL1#)rt>PlX1PDc699&M-9HAqVX#(S;ʎ;9g_D$NRhTOmm1ӄp%ҥ{X'G(o\t7_!۹G-f\>)3f'(Y2@A/zԣu<2d22d· =.a~2kUP'>"x?w;_g!LqY>c##ybl˙҈ Zc%*S5H(֟<iB֑oա|A:KU!6W+-?b\¹9݂n/׬b]za) {MBDaŔqHDP"'l8;ɧh8Q*t*{|H8KQ'rGBYJul6QSq o&@*gWČ+m$G$&4ؙ1F]C4QȒ+Wy~I.8nO"lL vC9 QO[&['З)ȥ3e;x"$rHgt )Dd$( 0i8 lF 2۞clڨSK3Oܥ!K&;µκ{hPS &,$1۾zќ Ԣ0)?:(>F׫c;Vo0DnypB!IЕp<?]7zDaRuH&@q+;d"dLsWX 2:Q |w-dޭ3O(§a &gmؓr`j^"G< }a\i2d aU$ٞTQ0]+3({rzN%NЎQ&y|Cf,lM ]8ne>.e)~LSNY#Kh{s=k/Ac@刍;7z>}Kh˩hM|)B+rEГآY -΋ceΰ`ǧHn#b{sÝ"a)u4ͰZK h@.#Z9&Ko**YQʂ逕W[ص:tI1P sJ62_hʿ|`TE̿zG^jEP>փNe5-a%VJp]I~-D̺buiI[ `z)`b6#ۗ2#~aE0T s#з X޾"[_1tTCQz<8 ݢ֢(g ׭6DTVp7v4yk+a*HtO^IB7"T1ʨl $)m`qĖdo1k0kZ Y#7K%Zw\ki7«ȸn;hUa؈>W.\)LΒ3e?BQAt(>c&V- ٚc<2&X!lQ*}zbʜ8.cF`' ll}r9 @{6!kM6OEQӒ Blk^7HXU&[:Z GIr0}~qFb|Fsgt2#qOWXL?Tye"Ru] TkK9ySæIC@r%va>Kyl,?Ԍ>((G<%Q\^8V`ߴ4A4B0̞1h& yc]5q7F5䍈=^-Bc+Dt2j_la5& kmowR9cJF;.2`.1YF?pLcN#+\ڸSJP5 !fKs,|M/ wlgA0!5.1idH9 <ӳf6QA4R:8..,@lc)2* bLw06~Sʼn8Ko<9~ֹ ,'f?@Dɏ'ڑ .]!,L| U3IaN"d_s4c>1Ik+T}|I'5cZ'yCQzF<36*BW^њ(8/d*Jz!# {Όs^MU:8{oG COQJ8'!zӐ,  Ґ 8x3ە"ІDi AMS$V ي͊$8xr^9; B;k㨴 NaXleHY Vl{~mϚ~gT 7d+}>-M@Ba^N &H@|B0:ĝPd:(dt-2EHkѭjl;j-S>ڈ6:_ٳ ku / Bw퇲;l8y`RQűg0e\^ %ؼ*-(%.j65zɇ.0|V|Å K zrtbE)M\(ňb /ď-="?!$=D=jI5m3>_a4C?@}(o "f1ӰHHǾJG/I_,8]2Qsu ylTsX|΃Tpl*}HZZ-jn^QFl؟y(XLJ4P>w% z!ڵ6\m[eg:GrDHX xaŚqDXW;`ъճ75 p{oACnԤ2XF b-!5? 6V6ْo*WV8}bJ9K朻ZO8 or.|q;@x4CB d<2R1w㞇-cj5J emHf'b)*X\,QgIEPuoUWn&.i%) ysf 6{mv\>1S\ tn{%}aNGreLΛA168t2=@ ǂ,j<7%2~*{\~Dއ7,rs+M C!kt'8B0SXi6uYMwM ޓȘ,|}C]jftޕW Wmg4 x??#G.YRsf$U!Luw`\ j:Hbu]R| э0 p!Oh)@I[ևStfE(ȟKCF!OsgLO ]0sCfXQ .fa-,&G:,Cn(Ii*4%hYKHk>9CuH"$ݰFؓ;F*~#` -RN"uL}ȩƴXbx#}, W]LxڣBB\whtU"RhMs$!dh@H%ǡ=G!PS)Qygΐ9+Gs}yoHȇWsaъC.:QI6cڌ90HU^/U^{->BQBRbaފ!luyyX|4VJM򙊛Y{" -bLHz1Dq:}$a2A!#(sgb;C ,NyRk *xM_я<&Y1EST/a& ȁ-%PiDΖ{nk {9?l .0T? Aʔ\ B6YC]N~p( JJ5`8ew,xw)2TD1L Fbm/$QFSb㌙oR7'6r0Ǯmf3dbJߐPd= 0SLIR;qz1}KHd 0q'(1Ԝ/lk=@>͎6>n?EPb-vGOI6m~P3 Md{>fy2Le6^srp'x-7+H>M2B,*fݳ.9r}!(MRRHE1H*t8==@F4M!O͵z|:p>ZYc.dUijYڱYN|P35gͿ̼]si o^R{b#Dʞh q\ 6%BN3>oX5tO2ߩ)K [NJqWmThޒZ6rYI?Qm`w

o2 #qGWd {YAu\U@ܼQn2l`6ŗX5U ͑u >T#sO\]:^je5'ިtmG0fWB'<ĠZ (+0%UgTݒH fNpFA/c^-nȢ*7zR\G# Atr˙:.J𸷀'_2'ZN 0.2|YgE{>ޝn"]E?},DwlF-g~]κ5QdqҜ|Ƅ"'i zj}Y< P8ۨtS㫚)*e1BRytEI5QY6뚐ы򸾍l (.k0%xYJz)ȥ>xkq$']ܣ/ǀg(#g}LyIAr/ 3VI<3`B984Fg wpϹ?ቢ=G` HO9&߬ѦHTzXa37EoRB2P3{sTolTc)] 6ZfKAw4A/Wp͎(Lp$rheAѝ1y9x6j2\9_q3b/ξnhXܯDvd]pbD{H/Vz:^r.euЂK|8b 3SCUi机}εqoY$$n5WFpPRQnäWlQ* l'DrdQY,_ f 9>0PiGG쑟zc[ .ox)^q=V+ݾ{!>>H쌥17d6֤ $hfH 3^+|)qjJxdϘQ|4<.: NR7tw 8ZyJ"㡀=v4q>P2cd"s - v `I)R(mz8Dۈ'ꋱHxnxnEő|( 9^%Z,i2e8uG)!p,`#:[_A[Pz f.H|uSFSJ18_T`A!x(^^E3h}yHEIXjZG".Neyp6O3KB17 dZCT9ēϐzPS,Dz8b(\1+bcQ2/:$mˍ(UchN]! :E&5 8#RWƭM;1g\KN dAV{maV# T~oŧ0N'xK&.LU<16vL1' 1j!přBOl7~#0ZrL@֏i gIzpdR4pMP*,BqL`9$S<,oBF(IZunEA=H)D‰2HWcWrdlbM9- WAg&vvڗFTFIhהBl۹(ZyZ{ >1fe!' М"vU^1~ JU5[L&2kWUa Yx} K+xhmyGlX^0nĶm#F'' S̩ď_I~wu 2F!j>#~XDՈƩ-2KÁ{yw.D˘@P0B&i"F8$R)-"q8o[2*g3rkІ kLBJY!@o Ib\ً1h1.XOOy7q_O?EQh) bB$e$Yx+v:AnLAnሃD4F4C'n ;|l0Hқ1-SAÓ&!w4D$2exڐ-JkwZ~+.'G ;FS)_ Qь,'ۗD}L>GOJ8=L>ya^,d#L\N֍kf(On" YxG[B;^Kr&q{|'1bRq=Flc7#Vj%d׆ڜC^/&a7^pu:HXLB=1iR(:N"IW $SSCsE>m|4.y_s&H/f*)z/fJg5Rpcuh^OdI{v$➉ep ARﭘ++8WeꍋODL8mG]2/$6X}r"%e꫰<:-ڵRP#UY' fȦSĵ(e3/+D!X᫞u`cD*Ci/JHXd:Ÿirͷڧa/*Wr qER)L'0Nz]Bl5$W@ FFd':#W>4ͿbD,FDё>& t㨼8XPYG̷ O1 6#߻e'.8nzH+DJc#_`wEN (Fr:+ւGˑ=槺òÏN_c!`V.buO#s< kRe^z꟔*靲s#o Y,"𷓸dYp5F$j!u>s:6Dhرˈ1 G Ʊr$c>4äW+(&H\09* 3\viCĞ`. FB@i4^hQنhVy p BY)$TxpkC/X`c皨pnTXN`\rq)2 Dz~1`.#v#!œ?6+(Z_~'RO3y' r.<A+ݧXQ$|(q_;ÔQKR\& ! CRcĥxhNvc# =wAPHyJ -&vh?jBɭ+Cpx ({I4ؕ.ݲ0jc~dh2&EyFb0s"bcLcVc i1f >;hP1hcQ^uѤ2)cyʂhȊ)[z:\p5>;kYƘiwC (cFv]JkhBCyꂇ<4 "Y2KEf/&  g9;A;rA "fR(t)hJR%΁}s\ʱ>RsS3iQ':qM5tYR*=Zr~3qM≺改b\MԢU>^J: z)EBXFZ(&~\"WD6`Y(g Dzt[I3|ɾSbC& T$9:5|t|(Wҧ5IY ;J@0l>ٖD9"פ̂b.= ~,)V/<]\̼d(7_m_0UPlL˙Bwi5DԣD!){'*GgGz_gݐ?L{TI سl Knf8973x?,*fA{P1c,1}drC[TmuvRt Z,z(ң_bD)LݤlKdйy+\X5Tba}ejӘ#tcXA4dbtL}VXs>P(M8^ YmA>g[rWaE$}{=9MxfF)/pdY,w^PB H&&EE$Q89IdHǔT;("f֖5dZIH4?"%$;K)>Ɉ5m:Ҙ[\7`p ᤖ y#o㊢`O獅Lu{V,c%̉dP;r.\9\T*}|(˃fxОqHza[)G> ] %M%Cs*JL$0|^fK]If=<6*AN#&K?=op`59$͐NTÐe5tx,Ʒ bmov;'RtEM+PMgV6a!Uˡd6Ns n=`~У, 6M]f(/^^0AG\R (Rq* bM@Y?{)>FF#8P`tkM .yjGk{aL273HV0G"`ky:I6e9PAD$/h5i{8 ‘?i$8fi{z+3Oӫ3ق\@y~"ȉ)Roi/3,oHRM-!3(c|. FCw5D2h<'|qD:D] mEjqiIYe%/׮ $_OqK+!(&}gP@Fֱ1+HN0 /@q:|/O͚_2%BЂBUˋw!!O )v=%W8RC3*~fk戰y:Mp.D9]u;u8]lE P`QUp m"lqɵ`pVSP, Ky*s%i]r 4~"$FԐL}oP,Udl;?)ߐV)1n%NSK,BN eԖ,/i+$E[y`BþLz23ڃvVیYzIDńȳG JI$Sֱ>z4Tk׊~z X\t;8mF3$dMAÊp$etBe7C2[c'\^j?gT 2Y1RnfDNo$,ķ37_}3#x-E, ^yC KA'KѸl2в0R7dWBՒ%F؞) cR=!U粏GaW,j 2muܻd%cc}%']y%)NMAVaO@C4Hi9y~ۥ޾׍??ɨ$ģ6#:maKNcQdԋ%ո_'S~_7b:5 ~Q1Tgiicax33!)a**SAg0 r&oycrFeN ly '-͚Af0iՐ-.x.iUZ]F2!Ft"EN@T>"^#"=m 夌)8e‰>,/ۡ9?~H\Jț˜Iϐ:M5dGdAX\w!uIRVLF0RR3LgvlL}Q{֢ #)WK][xO,hn ec}q!^;t6g7Z}|,xrA$x):TZX @>ӟoP!q5$Lp({bϏE$r#~bCZCo8Ck7_r_H`G#BUM:/w,^$%yztF}N'IYݚ_,IJ¬Þ)I!T`f: js>&V9Ngl?Ë$۱l",J$f܇[C3)R~"rQVE49txM80 w!'S(B>orȂ,b9qG,[P0bbšRußrO )) P Upт LPIy1BWFLcl񓥦UR) Əv7ҹ 2K\ӓWubiJ>YV. 59XHL6*,2{؜ ()&مb 6F,TM̆Ϊv}]J r"JuwE;]AyD[ Zj4G-d,fFRKSx`3C:HV=8 l] 2g!,'`iI 8eY(zIqpK3*-" `:m q>1JIWJD릪$8IEm?j~ֻzՃZML2q2W-IZ:4570tLJ_u XOH엌DjUhP%8B\IYHZS~4&dk5E)ˢ(! X^rM݆QiՄ+NYGm1˻BW|@)bSP}`g\W5N¢W:xx]dvꑘ?xi> €Dt>{-'N;f`Ϻ<_S4V?YZ`|ǐXZ!T_ gPxt L<ǒ_6j;h,'}åGnwy[ޣ]I!5f< . ,J&R^b4F\lܨ2TlitwEH,WV?]Fpa:8gޭzh 7*':uwg=؏ȫȖL4_ei96 mzB|=A I+SkOWVv[f#GJ^k?ry 2`|恴 ТVDTκGfexvfkW V@5 'p#sNBIRgEl@8}\~AikNl1^lV^D0#RrTXšYH9L/-h+jG;r.gv3G2o?s}4#>ԍ- .x^s%z3l5fǍ ^`B١]P$唙2+8fKY!*>+F\ЛLe n&S&a,Xs|P/w9"5qzYio{Avxb(T$'OPfC,?0+|o  $jlՒؚxM0 ͆s߻&ds$S6;l%qB"L+ g=VN&aϺr ~S46a*Ki;^QtG*۴;*؜sb@fVǘ)}M/s?#g˷k8~u6}%r8D`{'FDr{r{fZiyK:d#D!TAÁmu5z[ wFA @i $TP҈+">{f& 'C4dT"8%ёh ɟ\MHp_+ {?VCJ1cs$nͤhJ28w3}؜>HoOxL}ӝaI~w"AXI Yӄyp}61za񥵞 /Ί WL(JٓVY%AJ)AC!:OE9 MetqYR33~'.\xƺ%';VYs4j>x(G#ٮnX4HU"eQHME@ p%UEHoRGp[ة)gY T?#`ڪxe`tZy+0[ZUU\.ۘ3~kRoIl0Vgʃ;xRy^By85rqMpRʱ>!5.c*ZmE x!}"bmQDU"496$%u*AXN! =dtp ٠:QV‘Ûjb[Lɘ-o y(6Ij"e~*GQ!|q

œOanph9q6 e3CDvh2YD F`n?N  6V8dMrʰew%И33eQvٚX0BƘʐkNxhfYkce4w ^~N$TvpM9>C6B khFໟ=z\CA>^937Nr% RWE ø|S;dFvctj!E%Ʀ$vw'Bp*8GipYzč՜sÂaph="qO A`+ڨWo[Z o2Hd @ZVX̙B`%r:&M>A-lqG.շ &k|BLf 9#S~G?n$1zxc#˜4#-+'GVΘ; ͻ%%jFծpub4"\`cΆv5> 0bobG]?u 0:J6*w"0DB_B3XHJi<9§icJ >pXG@gLjjy67ryzebԡ @ O7M/|ܽ@hMI lXGr=%*ZQ(qx` wDByL1!d\:UW%sMJe>=JCE~Ny%F\Fq"r^UoEUT%NM_]we8`l/pw,AȘEHFKdvT%|t -q 1*q6,z!L+$ pT wU?( ؙ!"Ti2QQ~7V^IDؾf!=E4Ir}3zsa^kN2I]pu͙'#r&.PKEBUCLŧ\Q~|1^ZjLF TyT_^3nN9REW!sJcI fn%Iy{ǚnxb[*8Z!N/G AS@dGξz&W3gMS ~7&n˥+] 'H˘{Y@חNb.ON+&GF`Tlv,J9:OGv[ Яhw+?61H9l)4ެ{z<MAAo܆ث%y?ixж%|ʦ{HSzSTk'61ʈHcC;(:C(q]Ueix۔G< HpaDʑfa9rfJvixJ.zG# +Ğs5 ؛svО=mO? 9P4"~ΰXR$GƂu;^Wi^%OOfu̚{2BMsHp"1HG ISO_Q0بL;F̦/oB).UˉNRcO s1ۂɂ8Pםzng׉,xqLOk$:-GX,J0(FI Ur |+31`,=:+&J^X{\$IxƵA}5p'Np= b Rg1GДZvv@Yu;GDxۗ.[)g}4[z>RqĂ~X==T^oa"SO3+-|qשׁ>BuQ(n=ӪSLP9FB'3903r<=Sjdm_z1**USO")́. ݗr 'nin9ȧWD#d$C(i͉X('4LD;B/b (+3cQ-dۖ.-HVkB%ϲ>¹ԙq2~F /.􆠀`Kr#t,Y5 H)H%v&=.D;~LCE`Oq-!si 9fbl" C9mR Co@겄 h6fOy=8| HWL0(p 3/+O; xHq'i1 hh`]>qsL H#Y}Juu7? !7jHTgCvd7L0'2bP(*b5GܫH&Mn;_OPjtG{(৮;Xkyl_ ʎfQҟ,B FZIGdS%ra#6|{QR1' XwKy7! Ortby2("c[İרZH0apMtvK, M)>Y,''JNܐPFTQmǹ?ǵ01yHv 8g)Q}8T3UɳB&zpN hU+?jKADLXd ۳lþ~JmxFmf' p,6~! Ɵ﫪籓A/Er}-~iX0.U罂C撗5?qq[Y wsQ.1=?ڱep( Jًx h_,֪/%Z5sfb:pi:,E~:نyB.8R~؋\-^At;D\ИtȲlxdQ(f?c5\))/¼ ƊB12+btC~ɜהBخƉּPM6X|40ΖhxGG펡e<韃i1OhK?bl+/ @-xE^ẀO+ B@v`~dyEzr:v4d~P*1.\hc' 1%RTBq{$:Tzo?Pq=Koʕ%}lՋ\ĕ,WaE5'~#TUP0<7d=fn/uĚi ߤn î5#[nyZnȭGb Biʼn<2nfHT=>՘qز϶.O]M)l(ygՒGYKI-u-@Ƥ@Jf>G\.?C?*"92Q7#4md+\Uw2_ڴv 3u[y8QqK0Jeb:p{E54Y'1ԌokJhP$6&?b=ٟi(pń4>; ,g TǏd8Eݍb&C/p_/=V={<FV F;Ru5/q0/'SWŐoY1ce!|rCiPS⏹7{\)+%x 5?$= vQ!^ \<$FbPF`Лa vݲTl|\$L? jܞp2$2L!w[4kt0ԙz5{(ldPv 1}S;!B45HXN \3S !+YQPpױT}w=x:1-k!)י'1%3ܱsX#Ds>ȸ/Uژ? gCJiI4&;űN8gI-􍘥 IX҄*/os:%9 U&YFr^Gؒgp˝-5F95L}M Խ88 DЪ2c{i8܈:rGĊm?;{oxQ .T*HsT]+Qە?*QY&c6%A*6{‘$z('Æȧ{|*g5H0[̔~0Yc%s%؉1{.PlcYeT`GZsn5.H*`5o@&y1L wڀ)$!wbк p7 Q?G'u(3TF !oɋe_VDIOa9w` INS3%G/9cDCbT("VYDqt?4(:E#^|iBfEtZ LEE%X:*c$ +BϹ '!)5}DY]$SDAii){{b?n r55FOQ"hŦZgMwHt$-LFS 3Jg˰t01ft!C ǖ U6d8s#8 &G,^%Pߔ?&$ xnd~biخݒj zpY62ۄQ2G˦s[) mI/Mh4n|6K{3m{4Ή:.W~qW\brҎ)EXY.QˍHS!= z2efYrȦ݌*PaJ&&{ $3RW\ ^R4Ɏg2^XDmQ^F_3)0CJbR{ ! A Z }06r n? lWI7#=4hDH-8g}oeS ^LU3 <^ˋdΙ]*@|$ocp7ak)^0j΋Ԫ (!Ҡ@B`mT]wDyb+TWV",Sė"b oX0VL,oJ "IccK@n"oJo-' 9spҔsWQ}5)|MQpH2 YT,*j| w"$W>OslN /gцU PGc K\Ho=AU=}`罃@!RYSeG(p#f.G}ğ;Xc*A"sL2L?z*3x:Lӝ1pbכb ]^=噐 #nTg] %P&D2jos 暴ko2Y$<9=fO, s_Ήx2*-;sLo.#/+,h,U,Oԕp{:QK[\=>d\Cqi<"a{ﮀU#:F *0=3F\VLA.6Ȃ]c^/_j :΂UswFi)|[5E~9Ml3g*fSv-Ĵ* ,OR$1%XĘ:ZмG |{?I\iGyNFz4JOrX1$#9;k>x@v~ g'Gð^1\)(+(!Rl67DizB2E+p޲}eYNy4An٫VLc 'ǖ a4+e⸘]`ޮh ) sf-+&g;fe] kJՑD͸7W]F }jyʧqBL8oq/˖>]I!sl:sϷ̝J+dt4I,~)@uA%I WK!%;1\q1`ُ'E8dL%n]u$ X"^\Tl Fë*E"[wN!"x (_?T1kf@l/x A ’%]́v>'T¿lyn`ʸD@W%s"5Խ[6eɎ=R_QCSSd̬$́^Tf3Ю6}M,&IofL>\(<j}4\!uT^e&7[7z/ÿ%ABDc1~/7\˰B鰤VYj\Nys<ȓr'DXb*yV;ተ?>9U:Cpθfu))FExӳ?qjOhTnH/]&WKvý~DZ D[W…3CNLkG#0\H@H-c)ZݴfiC|vSGL󱐢V6=ỳ}Y yL/]kϖҺ Ź܉j~\tFT ` B*j aΤ3=Ŕ^-VR# ~ x4aǷw!2[=pRM#f jmu(e΍%?]Zr)9ůJ5aL^pgHonR[R-",=Bȳx)w6u&'R4K;ߟa Q3w Q}!E[ޞ q ' ? 7fϖI%3Fa=-98 +tCmaMGkc{ (De8b'H-}۝̫,! LSɉ8SG-ѓ|u9CCfd,%=MR8w i[ra4U)isbI ߓz¹Xi?^{,Or%"$oM!rhWZa30CA5qdSέsgơBCvlE$OMGu(apZF, E%\=T &dN9Di" >+>GZQ;ZwD6_>iur,tJ(aaF<z/Ўjtͱ zQB7Z ᕖrX b6&icpOA7,J2=`V ҁ)Np0KHOZY_HD)H ՙQb)!| )W9;BPix ޙiSI\sMF1{].4Z8ZK>-ގ|x nfr'"8ثA=,Ok<\O0a.1f26L(@mWJ+˧NډnʾtNj4,Hkfe O%9D45"K\,bF8ٽ ~Ҝ[:^ˠL0*?&]}ǣxtZn4Y=?.󑀐n#O/u|Axz.b[aL`r~-C# 8zq}v[ù2RP#g\a Uݣ^0eZא^'ڕŜf*G P.2Ok9@ Ԡ!P`G ֐ǘpYYhvSz-QI7dh<;sҷQ C4K-  0 Ϫ3"{GK񍪰Uhhq>aO!6K^ 3aSIO3-g 7kف7#<)sL1Ni'8MEU)3EFxLsOt#b1)]; ,<5*>[JD*f{0R6^ (;*LU=ͪᠵ.~l2Cx\ux"n{vǹk+&5KDCM5? ii"{B*䍧ŠS\Q"S^[Or1MWfXdn[+- b$:k&g.h<7 f >D4d?e%EH&1k|p{ ݾ%r*JTzHx9% 9o'fE&&@#4k͞:V=l4}HtaJ6OUESSGɥ"+"OhL>¥E*Jze "( ȜJ.c7)pٙ.JtxطGm;ї%I]K{l" ^m~7%C}MX_QY2x=2k0GܛXs̈́"8 O)iVq3bdQX9Ayˏ?C*mlM]i I1o䏲x)bxDRv"nBؿ VIog Sw&]\:S.J517ΉZ>E((oD̹B (&e9AHaD!F\N{?λ=#;P2:g0ƝBT=G )1({#sM!`s[ e I~cy> RnR1,n hy>MB"z$Qs>4M#`t޴;DW Ns4:1%w@0@;|1;' d=`"]18 7S{G-L9TR4( \Wq8F "*&FϹEs~4K0~1O} \P6HEbF,X<՝a, IsQ0R4QxkDѕ v"'nifyO6r v'LHVy8K?!N biGh2ڌcŚcDѥe;z Tf19#Z$;BWNqψ=:]߽4'PaQj8$:`ew&u, w)>ϱC)&0Tó)x.Gm|gO}V*`a^Oܓ`*̦Ri#7(D҉X:AR1(M1ǯΜ#6oOz&si7'(q,t~iǟ"q2Ndx7TxHÊ6]4DVd;1vww*јz}ë!YVv\xE{}+]EY#awHyDDm;:q)ƨPM8b6f hhf0fN!,\龥7"[(3feb$" ?֤O l[g2;1twnEm:4ҩ<~E𪉥8unT(K.nя}Y'B/C)PU[Vj(⦌ɐ3w׋gfW01ObQ)zO1`0d-kUe}GCJzTr%?`Yna(WqL2R?|& 6;,BBD &Ќ)l?Jf:[>;ƒl(>j u0'o+E@H\rW97Uc"1UQEktRhsӎqP6YX"i ySK`< Z"Jxݝ>nU&wU1\ EOf7d{hC*ӓ8(I'8l'& /L>]RAbtE/F b?^vm10, /ʄC%UҵY]l\&YߋVAs#vX:e]+"*}6 t\0"4:0'RHq#纩:&/?FMψî+h|_< rL'2/S,ڿskF|mBbi'!%L816:BzP;L῜c6C|0dCL$0$=-pY+g"ݺތ[8=c7U"q5,.=|DF{ b'f3if} Y<#&F.cy;1'4. !0cFLfK9Ζd?nDRaM <TR ILB*`ʾe3qET3r*àyӴ(ɫ =lKMd[1ϾAn=5xcw m`w8F=`]1~O0ySQ]LEPwxN,rn€&0MںkW,BXE WBKv#X!.׼؜(t*OB?ӵ/%>ed܄,wDFm$MHZ91tGnÁZN}E["&d>8p!l8 c:9kfibeOggAvPȎChǡL^)h;OPYtYPdAN6EED羔QXdsAbW#-=<)ɲdxGgP1wMIy+K!x)o)*|eW;}_NPj}V4~%kE4Uyl!lϥmdMQ5ykRkT4A+J! ")E!Ѵl'$&Fӿvݗ -A  rkPW<G{qWټ:O~bLPRk Ia]e+($9hյɼy(ˢ"\fC: Ñې|⤰D 0]"[gPYx=\ޔ?Oc^E uZ<_|Ǝ8e$a %aͅKA6K8 i!!<ȡH:ꇍ0$P9ES1N *:>W>|\uPTVb  (i y'>tlx"0mm6{)"aܢNyꯄq/ D%˕=9៪q?P1b4XIYc.1ǚ˞|z6Gցrͱ8tq}'VUA ?..\Euj͟ŹpChih,.qgi7䠎"9 ^2+Q>[DO 9Stdi+\/Bu 'HR"WRN@ڏrY,e.űfjS9].b7qDX`7gp%i+dc`zڷv sIyyIۥƕ'"Mf tD(&it&?qq)tMJE@kKkjIr50k묑<gBǣaye~)X Z{'8>&gJO0:N#oGO@LOW e ǗRj N8=ʖ*p f!!Z䞔!ͨ+<m:6d݋? SњFz ٘(f۫$al[ :ת=$j0LanA,zeN)ѤHtJj2mb-Lo+{bX% FGGZɀO3Ə*=F1/5=FպUeqę@+2.=ʾCiOp0 exyC6dFepblU,\e͎f`1[PovIF޴3<h lldyC9M))Y]_7MW1.7.D f*D)W ʛ~jQmiz^d{`POF]S>:쳵ZJ(g>q7c<\6 ECvV`\l*ؚH2@}C,PbyN9tf Y|G#ߪ'GAD8_4N\w.bk>™fjn;U̾MQO& ymD~2;;)?>Ieq//%ϪkBXp=/7)S!*Mh]€`Ŗ_ަB6Aecs8\h#ysgIyWR1bWnUbH)6Cpx0ʈ!]Sqx>Hc kNHx!YBpCa]))(bs#鞩iLW?}üs_ ΄îz8rIybX4 OB-̾r$sjM ӚUj?Bw_J=,!32rG\I Vp[dv='b?+L([7H] Ѩ7ۡ@% yr%$4眂#L5s"Y):0绞B3,> j؍Gڏi$8єFiy+ ɜ 6<aDrA KWAZKU ~{5Bp&=shŷ95xQ|aٚ L>E]š=I P f|8tװ蘾r8(f]`.ϧgOٱ )Yɜ!] }jy6B@ò=HjSJZwR2cv/* qrǧG8ATNd9[$wC&,Q`B;Qg҉y[I+>^XqwCjs<3!mC஛(t`xZƪ+JI J$?K$ZfLQn|kM'pT55i/sύx'pp GA?WK+k+B"9b4.ޞb)HKp*RF͉jX>bY&G3jIFݒpf٩;wZߋ|N?LĤ攅.U}/4| Yt2ghd!Urf=1DG5d|1T$Y#{=%B}>`E͠HyeHEmψh.[|2CAsbWTNj }tĉCtҝ:T/? j%3J]ͦ ތsfKC2`!R8Udk.awƒw ` hsVYy5ݶ`L+)Cg a6' J$'/!ȷ=0^5 G`Od RH LHf[GRo>%e@&TyeF w7PaA畒#.Q^pNErAJ DE ZmB0]cNru!~pO7TmƓpxEh[&ێE]96( ~HUI6+2\8O&F<0! &؉řj"?̸yp$ _e_#xt{-+)XF?<-pFZ/տBIQr>S3D>++JAҁsEQUa){v xljX6a8OIPpj3ijBA7|EQZ,>h Qjg4aO_I֔*9eqx.e$b>) ?%hb<9l<#t\aIY0gХR2PJd2(Ui~mL':dㆵ扦^tY']emP %L>5oxΖv0n9ݚ*$:P${suvB3OZ*Ju0+'dC"\sCd }Olr]h\ob!z'f_4"n\9IًDtTe1I_}ΔtK!Z!pθ%&7R2KkkI>&Xɘ="T8:]KO$bK!{D?(%JC::XFf^ԪtuHfG>7H<|VR;DMi1QK9AGt> p,+TT7܁t'bPwt4DhSYX7sYMښ-ZQ$oI*~+;#厨lgz2V1( B<{~LȈ6.oQ͜ݒrڣ~)9&a8NH؂h>)KĘb q&'ʐo*fP;\nxn(NgA]ק6wdQ+L0ZgC^<e~{:n?6=PHG1l4f|a.ѓgBcW:$6ixKU@9D"p8^č";m0 1[ `O$ M‰wY+ u2@^L*0RX8Lݎ%J +g85ݣfN2Q1ڋ 8, *;t<ޖ\ݭ$&*XDjospn1ʟaGtqJMǜ,ޚ<2811#YF 8(dY w 0WM()"Qg!6Zc%XxrҁY#F?LJƟу`?]Fӿۍ}">RMt]ܵQPfX1ST^֥B,0Ƈ LgH<,^%n%wEܥC62nϦZ6R^r{zEdh;5IOR^[&d*|0$*rZ,_wc A2GlPvXFuX^z|}c\^L.%U3l4f'dI 6z+QH^LŊqϊ#"zwQ@;rՄ;TS@b <\QzvLL^c3;O?"H]$s+)Uez4=n\4{ 1 xϠ5sjgXe?e7BxZx_{n,YyX&js/qV610Np'E ?7fbc % ssol< :i$^V ŎTpnkilćSdD8YkLn41?Ks-Tr!Nkzedߔ6t>rn%pY_As+e{El*[ETJJVGHT&Z> cy`- /|t [;x$ZS+3cRd2F)뵒A@,:;#=r5eaS2Qr-ӏ穚Qwo h5*0yO*xTin!+5&ۯ&^EU䒓ίC{I>K:|M=N1 Iz*8*l0c􁍱gN ]h$֨{Ngsy{c«p&$qtPp W軭)I2SFE} ,+Es!/3xT̬&hZƣH)+e80i8:(Uˌ=b( En}GՉ7\_R$ճulp%FS'r.JqsGH U)G1ѻ`H8%j'Ju>_gӧ.5[C HpQ%|;YV;7btI&gUs/C&O K9w )$f,35ᎲpC27&jLf䧒% A7Bܙ^ח[PŢjG?Wlj Km,>֙jM$HixfPPD\z`8Đnْ"d)} лTRZhwB&&G- Pb_KqPJ$ _93Diεla9$CS'}>܉їl\lEmΞҾoLҪtF-Ѝ:?PR1tGcPc@Y؞^{W$ r>7G/.#fXZrY$cZv5йk"e*60iwpq ys l/Uc*KߪF+~{8gnhːLyk1;y1!6Z?<她j,לT;߅!qǠxY?$L%txx42q#1Ahד Ab#i+*}*U2oe23]J,$V Y'TNXRL} ª@, !B]"<é/#Gܗ%BY~I0ް;l2~O]C]h>3(9wJJ f_%Caf+áJ>ExdBenXBbG͉xܽGQ:)7 ٴTIE!ȃw?`A^5'8f?$JjԘ!@QRLvTS Z}2|HmUJwo051}j\@6VEԎThFc|"'wx/3%b)-iBZf`Hq=QdNaUW;6%OElZA yUH.F}R xM3VHeB6Žr ]wF=*I?JTnõ Q0ޕ $nAon,FAPЊJ`f[Eu+:$1g:n:8(c}x$:uJY*};CԤ_Zf]4(@/"JѼC& N18saԛMh~MS;u4I-"3_yvI@4r.μX&q?x!FXCS,B5NFŃR<ӤOqbfH7&2C~/>sڳZv M ic\9X<0v~8;cI1$6JjC$mRpDP֐pv."iy>?iJv#"Ic*g'b(*'&\{\T/x9ɪ)Ĥ6xԨN0E?P+ Ð,Ig:28LQ҉#N]qnK ?%t;T5ӟ̫W| LXL=[fE TFx?FEib0>?%QBhDJ(S$yM0v| Rkz"b)~[7;ga.߃vD2@ N:eT]W!p{Hx2V $VnK&%_*g'G;*QB@rlzY̥( z(p o1S;(u4aSNjx#RsFTeQU;lJ"MƋ|'q}eAѸ,3%/Xm$A ^4+Ag:# Ww'M]?<كx!SfIޔQ&.#!F gBt*qo(!p){ES Zv~-1(r9z]KmYYӰ dy[:h(gMY16܎ ()< 87Xп1|>c(b]3l( 5n142D}gnKa i3U-N!ϭ ]Q 還`_ғqdI5zE41rh|9O&sDQ_~牣HRUBa=bGgnEw0xiǃ4#e1WLaȟ"bPQߞїed9f+ '}FL3ctm+Eh[ y"o?&6`p@u:dXvIJжovtENL6xsm'l29aFa']Ha(鄄f2J61]îʥ"39EO&IdMP8R8蘏2JDuS=FfF} 訊Ncyف' p֒pJd١q&u)/ ADyӌGy˶6P2k|2gÀ0w `R!R?M?s7;N%2d5t8ͫfw\FTg Q) 5 T,l:dv>S,õZ -+Vy3$992G{SK'ort/0h~}ExzBGTKA>4g^]Ṡ La2tęh1UA,Ǒ 4O6+Qh0oeXbSƜO,Iyˠ7:&ԡ$jg{XHإu&[sۅ]`0K%k)=LѥqkjX᎟,(^& ?ʐZUЈyVQXbO"whg0و{z yU4ıuX녣]p4*C?Xy(#[0F֓~}֋de@൥P[}u^(c/DQڞtq3>_{?:=s5< *sl;'ѓv|fe%/2 q=3RI}7j0BBÈi5f0K9Lr'tLj'966/ _a0*c1̪ȓ*vC{Of$f̴/fRrE~L2 L\(LDQ4dI)f5Xn-za 9_|ʼA!<ܰdԗ&KfC1@XȬQٲuEkTgr,8FenL?:SJ1BgkaEXMSҸ0ӊO m43 6 8 ~Ү>/¿.a"@`6d.z%&Uv6WƤ݃dĬǨj 91;[#4~mfm(ɴ9SVGUD翟mm x>#8L\$\\H.^} a2X})m:e^AmRewʉzJi2C$EDP_/GVja~{54UO) pEh VWtOw!1-ڌRgO0; cbKY&3<*#Jd0ϑ.tQd)6֖19<*l *R^QBw:Ђ!8mW-F6ds\@'! %3Xj,{s,9Ѧf5ϭ[ uF _ QW˧D近#"]X?MTO#`zQQ02y$l.^0FGdַ;FɐJ~lEڿiJy[!"p}"UQlr~F"N&[Ou^k0+"Jtscc#N;)8i&Ŋtc6r O'@us'q)F`Uü6(˯?+61yC;J~+Ek#NuF[;uU#9Iiѧڴ7IG>j\IvtzoPf4|Kġ8'_4# .m𾡣@n{%-nhE 5+oLv%lpՌrPMP?y4ט;;@aoQ~M$WǎYy¿ ,L#db'LLƊ@t [lu&"=)E+üּF+$O TTWMAi{ˮ $ӵu58B8u.E=> Z4ccX۞3KgLi] D9韷> [T͓۷AnC::=K#ʉ;$ٯ.ŰQQ^""'4I*Aj(h%Ϯ+Y2I:s#+LٿROrǰI[MnkpBY|(lU{Ģ}o7ɚ3}A:(%ŋq=e0bolblRˉY|":7җ5.VP5n$=#(H l% *=%W\q~ۙ#`'QIM/leڱۂ`1y,˥HOi^NݓC!կnZlIΡb=6Pх4<'z21l(RZ6I$FJszuہSFHKzO[!$Nr7ũs5XGKv,W &e4qW$tIgs(-fv4rȗYPκ&RC}*$6TE^O5>T96*F ]lMVD mhqXUDA4ڏ)i,Ҧn2/;QR?Zֆ4 swRKD2_oad޳4ux祚:\\b=wLz¨4a0ԃQlG2Kqm@馚i˹f^.+9+EEVI#ww=+bN-x[xZ hY=8aX:I&>qmY]1K8yJs^ɻl IŝlX"ϸ`gJr(Gs6WB fBUUfdMСOa1ӸvY,(g `ζryۅFE40Dpb}k1c&3!Ki*:IͪzdZnѨ%8ٳLXsEy0O:DEXo-p" UFThq91K ʩ2dV)z(<"iF/w&[)2 IQc.}i/VNx?ɘ#HF-u3Z:bɌm;Cέ@ |KRs:D6g\79; ceyY_=eҕx7mk[?$O0R 7w l?.Fpi1_JzW5Mţe>v5f hmm(}*ewkjt#L0feQ2iao"Yqڻk 5((,1]%XgP`}g#G%)='~}HK*$i##2GVРGNIXB;}'˳ȓ$ga"ɳz%:^n%%g̝IaY<\s=U(,OM@e3@u&/JWi6|L8F )__8yf[9icYIw6K*eZtG%%O>ܔйyξ#ǜ)?N/ش;D@ɾߊXo`coxAeAi ŧ5[nv IhE{cr/fTGy/<&oK3YՉřtcDMPĶ:ST!z-Ҍ.jQnCY:i.$ 0fnO3ǡ϶r6)hXު3g`vJN1rq [U}ʏNwWU.(Y7!_H `g9in=,Η&yA^rEhݍ%Nk {) 3&tx]XΚ6ѫSX+vRe#ByvYɬ\R9;p `.dmƎ!0!"֮fR2]"5tJ2^%Y)_Gh'{;Uq$Q{J`-Ghn:OzSnRu?jO1u3}]}['䬛2Zb|=$}P9D` d~ry"kL1+@AVLƙZǐ^{._7RzgCߎefg-F Hw715m)2RPA<CH! ȝ!#~Sp+fHoTokNa*~E]/^Of'հ2l( 7)qAMĕsRCd J#%¿_ ,AEZu(MזǣP`Ю'IpaGc=O83>CUSS&Y 5:i?`@1c:F_x^uLA1^%mf >OvƜUEq&rӯ=1̯<f0ݥ/QKWy"*ԥ]J܊?)?~NLbӞ]Ibi2\:y^;?iMnv cLΔfPf4 ZRj(4JfQ3}KJB[˧~>IX, z9RJB▔{_,Q0&ۖ<6qe$َeB؄!VޠW$ GB3nI^$UhLp7SNa.UkߞG×3X:Ny Ý,2r癭Tc<(6j6BXܯ~rcR1!n3E,3`>c<_R} @-,.\ƽ&^GjLO{46cbyq2v=dCMjK%m jvCזrg`6r&ft}0ᢀLHxCκ:8oHtdzwn歔#KA|d(i\kVdb^Y;)'Bbc5yű8laJ#Q8 ۰Pq}J CTT`TXM hQ,LgE&󀖞v?6C[a8-eٌzrDS^4#Gw|>P/ط`#% !.|`xJg4hxO{`5kSX멭ZaIŒK9&*V>>!3x6D0j)3zc`m ~Xp'dJ\tx҈YvfCTN!)*:q)|gכ䕫2~M1}!Ȝaԑ'U@4gqVi"ny+ϟMqlإ%1Cf,(H_.d:;BiI IʢYv׎8LӰ9RN8+mƎS Vv59Ĭ'' 52pl"ER eUYY !Y.-Ii Y-RMz/7e7@gx=&# m!1U:< @hԚz]Skw*=fxU1Mtޘk1ΨoIhO}?1Nv /11XO3 r3poo)g ˒r=0[EvG(Z 8rDQNqؗuSq 2V?±e>bD!>"a 7ci,Jz)Ϫ'm*)!!$%䔒D4ToBK Q8=K:/C[jw1b2`iʪl8}%Y6W@1zOWVӷ_Fi)]*!3v,mǒG{25_0iHG+# T_9n;1{e~Taxw#"p7q g:Iy2I2CZ_wwJc-)\TadIhY=yk7JR.cR O<+X[-NVWrȇch7eXN$,Ύ^-Ϻc*D(( Y+4sZ>ʆͳ#M?Ela̦-yT{a!nE66Me u'y Nv,!hЕܭm  x'Ā T,ʫ}pSҖ֍bi8j=1?/Yu ڡe {*f r@ A 嫍450Ҁ9v '`縫s~#6MyR (C2~J=._x{:Ev(GKXBٸ30MQ ?6swFtvr_H]#`AmD[>&; օ6E:uJVv{.2cT;-gWc`c.%@uUIh]9L`}0D{ΌekCB6|J}3ɒ|Ms+egpڗ~shSMJtnǭ*t<\ۓC~6mFar Lz$LU5TUCg4a>r`ALl+bvh&nP< ؜4qEVxz.~Pߞ%>YQ"a}Hr"7 IOQ+ʼx֘u>!9ɂjCJ=|mg鐧^ÛJ<h fq'SSϻjtGj 8ldfAanq=΃p[p쑝 Ea AB"zKԯ%ĉ 'D8A ڎ&}g,ݢ(hZcz0џF~&[@6h@@5;mDG|=c9DA@5{&J^͐a0ecy3bByw̉\FXJfVr FBV6:b?*J@M_Ly7=ҐwvxX~1藃*^1`Q.~Hp踟94fAEQkX=y;%0&_C4+c`ɳg9b6)ds%F;uGtUA!%jØp}t#)oѭɧ$c" ^j!09U8N&•%į!YY- žgS;#tY,Xߺ~@N4^Cv.k{Y!̄˧faWp1sgGSbxUs9Wρ/g(Gl9{zcƛ(_K!Z-Q%c\%uqcJc %^לlAXGR k( {uʹy>sKV$R!Ho= TK ,@!ɑzy#?k48h)!<=v>Q'UwlW4438n.ǔZ&Ы.LO,OMW)Ss2Q?7+AQ\.N?HE _-iD,0Z-Q?j/EGg|󜩳;SR^53sBS7)/=~Xcz0Faxr(,ќDyMHuu$W't0}8Y* \m !@x?nn^C?ɋU:'ѵ%[A6?#nIqa[<;b#!7܆c0=șD-<-'(Ž&YbLyx(.=zíMxV6p6JN L 1̷XaZSjY_mŖrō0vy+G=uzQFP@g%jJN۾ϻ'vőKO>  vywQiQ:B32;H9A>* ZoLǯh'3F/_8;,ǩ{9',tvef&{mJo('@|7"<a c.r6B3I\^.ǃxj7jbx\w(;,Hou`1(Mio2a,t߻-+]F'n=|K*o;Ai \]G5dX1GJbsyɗ\X k ,uؑXB@<"b)$B0U$1PF13]eN#yTLhSl"~TYFB24fnWJ)H֮#^ݡ0D]8pd_ain|m&u<+6}XvA6}[ NlәQۋ(YK5*((.w,"MqҪ\ VrX{Q<ĈҘf]{!MpR ;sb >܈QHKukQmhrsl.4]c$ s B xӻ0Ɏ\/,vcPW4|7n}XG^=ꦾ(fAI\a[υf&4^q7@Lp IGʬՋL@=UgP+DHW=bQaLFg8!ֳ~}i{9EL|]P$B3ڗſ2մ﷾o1,DbeS51i,4n9˅$O/V1_R&&'" $4#D4''tIrJcPdEF?ix#XM1\Lh %\ 4{6ˁbϊL14^XTIkWK84JGq7Ε 0}poZw[ .L !BY$&1q6# _ TdtVѝ|rޘ&TuUw$jh7a%E4Zξ`|G[do~4&9{loâW,32ɅNZIT{v];@:R;MIZ3ƴ[?v#g v0Xc h[8 W᱊=瑣V:4ZƤu$ lclG?z@.PJb0~f!e $3_Dg i>xJR`4i;~l'D`\ā%%/mD! ` GW6JH15c(TKYs#<`c8ClO>m[L9[r^:h}*-D`g8%cRX"q{#qx ;v 6o۽cgnhˢ qnz $B5Yo}TuzYQz}vq "l5dLG.Ep#pݸuJt49Nt\u|"S9༜Q>r`K]. }Fͤ\<PziOPrJmz3^Slå5jE4gɮjP.Ѧݰu%eZ*J2g3ILDtQ:vTu+%,R4 >"=3~4ič;,W}cK0|S:y2OtHo` P,|ũ 2s]xCf~6tDc(hƃ]=,hs"sTc؛۷~)#|'Sr$T2#]AW)xݗRHUDcm߯@4[H0m"1CP!zn1<>R@Fwr*4>Y~SF8jLARZGq45ySW\݅џ8[ȲeG$ dc'x9Y כ<> 4CWj(ꖂvoFO3ST{bJ"-G-TJ !"G8J`<ϯ<])،"\qC죎 $q"mqV6DLL hi5;3.Eѣ\3]#:9Ӌř75|PኽAl0Bs{ kjA\h+UKhF+Qbd ;n<K%MSJ\%Q(4&o8}ġVsda$2 L>'0ǰ d5PMތr}FXbB3LtkM[.=Stѷn@ ٔ:;ɠHS2X 1t0 Uv8mN\IJdv!I اş*mh?N <&Q\_zf+4a P%zMũ)߉}PKxG.uį9S<aeT?7ia)|ª896HR9V.q;~:(Ӯ)6*PSH+[TW4*8+ܠQWJ0r^;_?tT L*J吉AMMt|,9I$wFZ˯$:vHyer9^rls##͉'v:iȼMzOU6?Wǘfsjj۪4ڈ>³h8_*6sHuB "[q߳r!*|傊7-x\J1&m^TC ++P(̎+ߡ [ң/0-E56S2U_ԓH$+5=$CԺJfG[}٦lKh`Ni'G~qL-Kb.^%6.moctiF\ SUhESr%Dq昵`9K\u]Wx*O244lZe_^|V-F*|ϼr)LD$|JJnV_:ITUxþ7f=MnZ$0 $;#yhS 9ƄB0p!goDC3sdGl͛HGb@-&o_dV8H##JlƦnɖ 9')"'.{.9k<#od |4>y2PR.hǾUW$D}P1Jvbn˖@=k!'$toOӬ&'÷Nl,%'zvwRQ+I'%ݵI-rRH{,VhYD9:*O(ͳK L/,é4h||nUb9䃻(ц. eǶzJXL} ZV˖2g*PQz1f4N$lw=]0KDsrq\*L f!~& !j nL&DEF?Ta^M>"~ ԋ+J(|-+ʞBu zSWQa,p&Д2g!gn y8MZ/ZcHr""PvznQQYSY0Nqiҝ#УsK)P'gWG-u<]XR,Lf8R,3ڹݥt=j zBg>e)Jj~fd2u ) 28ܸ[h4wS g .Vᣞ:zƞr3ɬiÚ&a"yMh]͞,|G6fuyƒ|'σe|N;VL/ܩ$3ja)мӛ 2{CF#5| N}|q]HNR@m2S?V@g~d!OO ZKfuTͭN7cxh_(X1BYX?aCpU:IF,bP<ԆKƝvAmt8z2$ң:=z[F3̖VIK 7{рWMrDnyu~?|[NWBPY쥌T{x#`cgą&qJV]Txq}YapMh 9WΠLF|q9;st:qh7MZ" )ܭy(59:uΤb+HLIY_cׅV+Ɏ{0WcqW-5d(~=A_0At Q/JU=2% suBQ|q%=\M7s\]s^ 5rs1~Ǣ3o|1X 1q4.~1g {ܰJ==6?S|Fɝ(yiroi!P F62|N{紭$&pK̈bbOQ#!7jtcH )QSü{$M2i*Ҋw򄍚L)Kt۰kͬ؞l\S p0wDwdDkLkpU"\h̘ $c/wwh-֩ꃸ:S}ĕɘkQipF YW%8S1 ~x05Ϻb= Z+Cޝe[ޕS%+՞VsZ("~Rf8u"ׂx=# +6 C&%zC5:…^iӑU $=F(#9"5^Z Ñ% zCp<7]Rx 2!\&VQn,-snL>MYM6 s|16 R6WnH 2ڶ ;%gt4lU@=rY;r70dcRiDJW =g "i<НðWN_ȧ ;ÜZz1e$#$C?b~|ފ_1f^&AAA_@H:~HD{NYI~f4l5}?rV<ho" +V,2C9g_.Rf7;=Cn&ͪg " $r,tSIA`23>_Mi_3.fe+O:)1Kj!I0UqxިZ*蘈ie!_|rUٳ B2<* A nMD=Yɩ3y=VqLgZU{ { 9bqCP>!hcg±aDVK7 7DY8Ŧ t`ч(bc﷎xrE(c\! VMKBPV ۉSI y~;}f,CJl5|Ii!9N.9\?gQ MO9t#HbԝOۋϞe$x74f2' jX8/hC*oKs~,?x™҈Al|{{ '-3щB q/2={j)|)((C4wk/ԌV-XqѨzMI/8&M5婰(KɃ_G:AX9#=.#Mc-J=EU2rf/R߻E˜ZK'eOK_'}m)A i Z)H ]QG.S P&,}G feJn c{%NXf ѫ_9Pn10nG(sv؊CoӨ]#rxPy^^+WT5b_&*x}pOz_iY?8*mHS`r2d.\ME܊@iL&k &jk/'HNR;(fQscQ=O4I)\|^YEy֭EpP0[3GTjpc2?6ZtݴA4tdrdh<#f`8).%u/zH͏Cܠ\wZOk ыl%#SLiJh1iY` \'7bq0k:C&"LkX(X*?-кDQKZ(u5J!c̙Fa '6X.kžn?b tpj!Ćx4qơ}vkXyT0)lqJs)GS2WTyJ|Y+~rR`|@w sS9×BƬa? m`@Wҹ8eSu=0؜#iXӔ%엞O%MYÐ`XRb(l*΢ZWBK2vʩUq4DŰ.}(,#.8%Gt!d8@dEAa7eA D\=S4FVK,`g )+"PY}=!GaLD[$yd1ϙ l QYJB+:qK) ljӄt>ˣf)1%LlڃЂʊ9qkNnXN!+pCe;NILj'{GGb:fz|Vd1lZbг!Ky ›V꺧Ķ{r/&l)p\',&S(hWo1*n\W.O93Nx{>~ 9Pjşb0ȗ*s86?ELz0Dyq( ʐ B\߈P1(P (,`XCr(QAr\\.QpE˝c,``Qbދ0.B?hX,(1\(B8.`@.X!PBAD(!Q .P\aGHlR DBJ(l@Qb`QbcJa\#)@ӈ2DB2X1,f QFXd2$A!A@T,@@"% B !H0BBQE좈Qb  PXQE!b@\(P `@ab!B6,PB( P0 ܠ@Xq(r ( ! (((aC!r(!Ŋ( $ BEc1Qae( HAaQ  af2 ,9TrBQb ,B( (!C0e BY1 \ 0 !&"Bq\He(lX(  BA !A "  (4X"X( @CDr B,B J(@2hģ XAB0 dr(A (`F6!DT!B1 SBr!alr!r(!t<%wHr 4X4:DT5Mv`!P@(#sZ#b/aĊaַ,S 884)חn訁JĀa>` b.B@)nE,Bji,N`2p ?: Xi 6LĬD3j  &qLLBrHX A0o .c\  +! !AF  DE"QPB!25ll D05 6`f48;SfsFJPU]q05CHglYE37TH!p cXCHB !H bm, g(X5z.5=N:bd BDБM`e)`C! KLb 80 A@aBBa (((Դ !C 0]c( ""g 2%QE Q@[ (q3a@&%D!h$(D !D0 ZC# c7)@@ n܌nOzOmR D2Kl1!D@.h8:͆;gPGLĀ0`J3 imWh2dxB}W=4tI996hO*) $8G `kѫŝmQ{Q~ExO*[S!!NZErgH,|U 4 M1Z%QDF!cJ|$z\I3DL~K()N_^~3yA`HlbFtFh '!'֕~ֺi*p?:ѴLψYsOq^.?HX0gv*S."Qҗ'^o IgCB ȫ?BRo (`'yj,A;Sjґ5뻩lߗI4A4!nDw C}vX-8N3 ۈF,$071 7ѷkzvr(,Ba !r b  @Q!bD ^EA#X0f lJA H#nR.` /pt:)\ Q; 6E4َ.E|G =-Y=!ɋ6wUXه4s&$dx(G6NUL(ȏY1|[ɫz(O>oo-seX2>>q]m( c{㍩^6C9!ATI/+:KGP3 5/V=}8zցx uDc"KUk1pVծ{abԭڋ* cڅ Ztr!R}/b͢\dc5|NGT} Wө璑s\Cv 3]sL+sg7_Hr/\GfE+^V[L4PQ2JQÜvSa_ ݄bWqRY<6zf%=rᘞfnaϕ_TC͸V Wc}.11,'U?O\6f<\H6 i g0^k^ Q Ou4"2YN%ɏ7fͶZTбﱖ8a*s0?N2a"(3Ƭ4P2CT6XZ *Y[㩚*̊SEH C18M_uWsePq\kU?2xB<%59 ~pW3TAi > x^C$Vݹa6B=X̹x?#*)&1RS.v/ bRq/QimON!n~qk?߮9jfnHW ڄۘ1i @΂s,L})aW:WQe)P߽v@Xp{%>6kǁ_@?ɍ =亀)6jEx:9{91UG Qu Ɲo1i<*+PY9XLQmxR~RWqnK8b1b0̫2M% V\!Ě$6U{'ORثJa=8Ozl3 &fYO,zLK%ٕm}!|D5v1w[5sȃ0n24`>nrݿ7E!:N)xUAWkb C$;Z-..BT=9j8vT޸Ďق:Wv忏rn qťYC`9bWܵ\:Nŝ#a Pk/]i0ݑ\5Sg tFf`6Ks;EV{Cf,֬VEqQK:`[+VcAZ.rv82a/U%FK4ڼi$|LѣNf> @{ Җc6B+Li ͘,T\CSp} cjֹCT:No9l&ը=}OpM@1 !f ޯr9̪fi~su\2'+IC#.m-laJ#'_hK=N9hs7j?@^[$'xJOb^ 1\wGm˵kkb8&)՞V$:+2WQ$?%,&D,oƸeC+=7&ECE\QMdKRϘgL؟ :| ihNnHb啗l(ތGGs4KQs' FI˕&@5=.\( i2r#ݟ?ש]az$6DŽ9) H%%izeDg%''0U6sCek; (_'E/ BW柕gS26)Ղak6fG,O=`+IK> 4@dR"$VM=VĔ,EZ%x"n"]-ѫԼ%L_}fN4bfq,#_ʞ}LIt+Ck볣eZ H`ẽ074<¬Zo);偄aIP:ݝSMRLdԖmT@Al0074a<ėtpgVٍ66<$aAR3*$Oˢ0u_~yAFRR@sz͙ ? K'0_j& Hg6~Ob8@1d:ϙQDA` cbNbIu9~Ԗ1`*j]h6*f|=MMb]L8bhJG ۣ2uyJ.a|%!@<՜3 !g"XLFHeN1s7IR;K\y* 3]2 W;nVXuHrWD?ŒA\Z YR=HQp}Ĉ7!e^~"+̠gd3V*3/`yf4͟ҔΙF^d}kcv`EUXWh;$8ze wgYaΪGR BofrĘ J0@֡9=E>HŐ! !t9>`LW1m ڎO@_iJ3sF&\X;iSq?( bW_ULQ;kC\H@GouC N4\.Ž8Й MыL]6يRVǠ NTQAl=#f/5vēQ;\:EQ I]y+"b?pdz#Q:jJɕUUy-xg+ЗlH+1^_B,V=2t tq'/"KV' $3ȬU3H;$ *֢IFw+WC69:_N~Qlul}`=0w 4oOb-=cVxtjy:Vs{|d+:l<<QHE)oFa~ސ'<˚1^y -%Z%9 k9|bS##&R,nZڷ k%4Q6yUl QEhqbTDŽT\(b4i:&iLLU}K8Mٺ?@$% ₲I*c "ZH%HGlb,LяЧŖqQ֚}1)y8hAs Qā(皚0s̉G@"r(xłݗ"yYSF%w(-e[D"o!` N lxܯ{Z.#N8j(ݛ$$',V2C#@ϗGCU&4n8Lmh@p5Ě d:x|0rGbfD^|>T?Rލ_1P6Lb,_ c2΃FTs[9{Ϳ 0up'i|Y:$GRw*xْ\_FAT'9BJ o_R] lɾEpGRJ=ܪifUKV=x.G0 m66"ixsNÚQL h8ӷ8Ly},QS*I4'!P(QGπ=z3FǾ|ܢJyC5 PRR_ bi.V S'b^I3eaC4cGKߏ@j`1"#"9e8 o0 z%TN~Dup%,MJ_Mo7܄8(aRJ빐h= i|8MV\2 ͉]Y5RZN]ouGn Xj^k#Q7} OJJ~C(PD\58<$=+'SߴW2a;٧p)Tb}MzʘڄYP;#ܯԽsS-Ca¶J=dk.AŵzfDmIjLQa(f5K.aY8jx9"Q=O آ@2֕W Zߝ iqW`ϱziepLEi.k&9>^1K JP A2HX,QT~rn"%qr& D1^m;ޜפ{&#?>K©ZΚҪn~G*8~E%̫̎Gpa0.2SgsNlҙv6~w˗n;; r.{=8$J?@)Os[Rk`1tVh%E|] y#J4VЧ y{ЗѪX%ğ{(Dr3Dvnw=]K9M ?mER,(!ʐ@q(,C(X2d2 !#D!BB5 ( AR 0BFG6`!!0.C9109˙PBB.QbŊ@(X!\@f1u (p(LS1Pر s C A !rB 6.j(Q7.@  \9b<9|: wSgH';M\ a5sHUqQ 2VP0,!b bn@ad.Q!C 1 AD(((.A27.\҃\BX(a^\0aEQ !bŋX@ ,X,B(0XbQEX(b4B@ Q !EňQ Qb,((`Qr\D!Qb! Xbb(b(bB(,X,BBB @(@! ,Xb(B &Fr*ˆ!. (F%p1bfS1FrFcE2(1013&% 1 CHeld! pQ#102.}Xg.\( !O?u,rA 7!bj  .P 6 B+ (5$4`A0 H0f: , 9!`BƬXt.@ Cs!b@E S9\G)2 1Ƿ2 0W|6L h "aC@n&(BQD!Q@ӔlBr.QD#fB 0ġ @ci>py9D) ,ZLšPŠ@(BS b`!B\ؐu%˔j;T0BհBB9B !v v}E-  6!4B)>~tƏӈ) AEB :A.BDcrS 02.qAO#wMvgI؃ZрFRw:m S&lcُ&W:F:!|:Qk &64A bbw&Dx#$wpюٜܰEcmDEu}k/\*2weV6Jk̪f*,mۢ8}Yo~]]ynFiŝGY^K~''f8P)vkWzWN1VDܟF%1F\J'ޥģujpjdkeE"MD d{%UݖQW0cDgrƏ`щbPfkvLe_XEq$J>TJ@YS=E 5ܳk|'Տv/+ ,"[#-PW S /GҴQ6iL#.< 1< 1EQB{Bac`b$hi&>Ls+ٻy' sC jQ,x(6rOq.pFP6,3 bh ݡr80hh :."=qDc69p0跺#gtyyN7,#HkDb_/;[1yE|o1La4ncJ7ւwq;,3;AH d^ZLQdm dy#8ӗp4{!?wW-38sJb597P4Q""K%s;H&(;g(P&8n{1إt9*lFS!Oܚ,I)z] qlDOpMtEقge0 H8sjOW3NrC|in5i';zk d0lfZa$!=}K&B6bg5 q٩fE^b+# IPvaZ7% k#I!6?4Lq:OU<,막F>;Wzy2Kѐ0q{h<6ُ8>"Uh0bs{MDyO2c5W_O;$Ȟ7טQROGWS` pSV+y8w/oc ܩ]d\e% HIM eKKjx9p\]v9=:#њ[q2eb)'+>mb%$ÿF(CR{񅳚Sa5M)0 ؊r',$1ɨZƑ'D@Q9xqEԇ3UqeM`Q1iFN'BqKFBmK|޶z '9´4DS0)aL`v;O|m|ݹ2mK4`HH#!ϟh&4[HD7(ko>6QeW"^٤NIJۋ)R8V`(agh L+YGqQT1YG"ǴjcF4O2 Ɛ?%LEw]0jD Ve^ )aY[EjKO>7g+Y.;dAT)%VSLXPi?2 /+!6wvxneߘbIqXtG)䩏8A,sqꆪCui"h9)pɜ%TB C8z}c="@hfp fwOKtO ڍ8r7(ڭqAqM\d-s'dZ۱ԗb7в ?*%6s9So YOW"Ud^5?>_!+23.OQxHEh^K:bH';fO;Gs;\*Tak1bB `ϬjLٗkal2A2Ż-E~60_RunKdRQ2H1ꞈŭDajL_޹፩U%zxjI0`9 \Zk|tsΦ@ӝQaY,P~?P17یbW՘.RzYVTӴ_MRr0v Nc}׆&r,erYuX9b(JANqbIő 2歬ޅ(JY:ـO5(7vهDS (r߱qc#BH+4͟Hxv^ē'B yD$e첫Jj0>y" 13j"Dh ;$P,$Ed$RQ(s# 0!`$l7Bw@7 `6B>z=669Y{;4 PdnUDʋ!W΂oVtgg_ m"m‰qBץ@ǙSN tZ04QnQ1#Y6GIPQ#3섩w?pM!ȱ_cN(,V.P.QMD8!D^nk"ߢ7[D0[o,Νŗ xhFh7>N$W&@MGݰMVMH֊bht':#V|9_rk[4=#cKyWqRAbyOgJ#rk\ldb)bak bOX{Տqɤs }䎖Aq[ ZM$`n> S [r2dXu$Cb5ҳRNoV<+Wi8CYFD0FABHVMG̪nA+"$wy&"=CksUD#,^W2\gFlnd! }<$l]."BHJ44XAF sZPMG;sz/+⨑Lֶ%Yo8xb.A2l7gnUgnV@EBvSyC%26"|6WcS [hN<ϞX [Ux6;Dn4˨tc9e= &^Hs.TDB K -$EowKmt ,;iFK8daJ?ja)uX4K )==?6|aImQ\VJ"&.cX` iA˯aH3û>HM|MB4!%EK8qْ2ۄw+ H[䵩_J'坰@G&{!O.~'Q#TpHa km+ę J(=W^^]lP xߟ\\A8 ]mX܊!`MNl91i:.d 20=(9+plhwi9(PiCf9_hf4 p7 BBPQAD!@HA!@!BBаƈ418!uy!Q@աH\F aĘ89B &i9]xJ`]ՙ:!tXW,X 5l. `+l^AJ@ k AX4BŀiŐr@  ,44 lF44?VY5H`4C@ (Y,B0l؃7iwgr0`cp w>;Xx9O3LȈG$u/uk>PYMBHb2S0e^;95?#1d*FChjVgl> fN\1*e^G5ǺAa>"r6Ylƕ^Lljf%ғ5w߆B Q0Gـ|}h1MRs~[ tƷ]đ_zD .;rPnuHX o7:g6|qϲ-m"^ CRsLww-!! :{̓# L#` ԟ\1l0bSҳݜ1Cz&yOaUvC>oGeIٖ Y+a,yWci1=+a:a>F#0CcG#HL\GI3 ωE0ݰ37n<s- 1cƏKtC(M4Gx=ѫ1#z)H!Y'9kk*ƣO@r\}W~bvVAt'2`8eIQߎw {* éP;we sTr6l#r;ciͺa6']һw\~c1%Й՜`3zكoHxHBE RVe/xcԮ)VP(!N=LFö4뻸yo%R.r` LAuׅ ߰dqX?eBv/cykEaa=Ǭa0ȉaXz.nbe`C2UA!9Siy \iw9'`o<(8ēSya'h^q4]WM%Жr''ٹ FsMAQʮ]BbD+ZvZ$~ucIޱfo3"`a4X=]r0~ Qbŋ)$O+k؜OIC <,?f{EB r b(P!DwH\Ĺb(1 Q@(d!b.QbcH BQ%D(@܁ %!D `\$` Q@B r  @ J(C! D\l 2.@ L RŊ1@F$1,@!0 4A!&rfQ B(izir(p4,v(E ; zgi&pc0ju$0%La)~'LIDؖMa+۳>I3'{GevHI5 L IGi7@axE\.zAl䉆U 'ԢqUIN--{>#lFiasvM0wëEh|2$_6C?ىioy` Sӳԏi!CH(Qb(,\XQBXQs XE,\`X\(b!s!bb(.``Xc`\`QX ,X `\CcB`X.\D.B(b@hl\r,B ! !b1(rŋb,X11.\A,b\ĢJ,BHQE! (! `B.ʹ7! @((l`V\NqXvl``ݠqs@b0`!F,ƃ0Abl449LL`2 99A 0,lQM) fpBBM,4:M87;t9c8:` @!@@4lB!3 `Ar5Ox#Bìp bN:t$(( B;:c SE @{koT52s>9꜎QhlX`V:t. (4)X@",6!! M#a nc7cvF ,w& #iM cCqLlrܮ cf`[7Ѳ1dž,T$?(z1ӓM8u <IılNQ/9kͧSpS-1nȿ;27cv=CϜޜsFs9sш$87} 8ffAj&O当rw+PbIE,(-ˎH#\R-=X޹ls`p5)W7SJm"@ٝS =2>zalwKaof!jxbY0"Csb7mI(bo)'=j"`|r8AQEa٠ʼn&啘#ݠ*SR7f:w/Ucr[R 'Y!w"x^|lt'(3y%p`; cXafircf6n-cw1Ir7Ui Q!ǎlٳ cf!4>P 2B  !AE$T0tƇ#8:v:f}ԃF!qcM;FpˌMKM͌NqpM<ޞ" zS)S_1hLSDu:Wa "w_ k\#莱(GCo"xZ+PBpH}I4 d]>ޤI:әp.â(C(dN!ږcQHC.eWaGW UԜӊ?fS' Fp2 /W1`B# SM0ƓIJxc 'X+v?TZ2nCX8ӷKD׊-XFvQ^h㘄NE;gFwr}5#^,:UK 8qX;aäWz\9J:2ާ}^iq&=Q$,b ZgxbS03qs Eq)+"f- ( 6A$=vCTOGOQYKopc}0WAkÝ`7i⅜99M_c[|p%): HO#_8%~u Rن<"'58wo%f8v]&ƬxLYs|'e=>[wihm4eOq xyIaJ2dKv€Lh؀Oq,]slG)]Ƹ%,lӋrV ;7.2c+dr,t dc B 8fclgf#1IiA;c᜽Кaoq .Oŕiq6,c_MKa%x&{Lcl;.}nE3xӗ̉U鶅 ; .m{Q;Nشodsdl *6Nyp.XFDo < lnNh}Ga NnYCk%b#(^,O S~gAs^"gDwJܙ?vqt&K"YO*ZC?sI VDDLʑU`C@+8aKɦ*EۘcjCEÚti4nN-棰4Xc$7"B1t_B:H; pS:DDt Xş.f@כs^9Ў9bhpxY/UqӦ`S(56frཌ>˰x0uK}:L ]+C)#L$Nv+b%lI-j!GXk /6x^1ٵC@՚GF2``;FJW?J$c94\̀'~I `mvToG);p%juεTەVm%IpŚ##TO-=)bKTK̠NH*"P.g&Fv}bw8#T1ߖkE ۊI Ϲy$}d :C֧;"H f;wL;FXihE.Cp4 ;8b#O3g>v}3kv\E &:١U#`9ԫ2b9KukYP p`_^4n(E|wXk/ĝPBo+>y::ՙ̱4C2n,M°v,pcQJ3v|t!w2BxU4Q&r1EMGdݼpJe!gf#^☀S?]xW,>';HқpɜKQZu>i62錋CRh2ܵ&dJs9Y73 Q >to 4c`b/Dߍaw3D$i^ CɄDAgwL.\GdܖodT ȹqFf]Mޮ{tE'fc)rS;]3mDPAL ZA>Rn_雳 mډKmZicS\=)%Ք;& Í8 s$Ffq/{>[SZP\ǂ{k%i; _7";8n7/Yn~=+db >.GT, cHmi8s-ݼhߚ<55#ZGkrԚfLMYn}Jхnm'S-L7&.ZֆT|_Q!}ESPw$l>".k( a}CpD%yEMQI?h _?j!N ȃ,<Ý;(#AӒ͠L_*[TbqqMiGv6y."oD JR(\)`K9Ṫ&ш4DF|)OB=LÖNQ N07 ȧM)9DI cw,!3B`0KsXF?gP@o.Qj:*SXR>G$Ԕ_s 8GD_HL6i&i`Z 4ExDؖAaў;|S!hS̷8v<̯a}^mOowi3{H0΋yrՈ A$^3 "$(Fn+:@y1}ΒС(!Edf*Ez&˙4y? &( ٯȿq! 5Yu>nu80Si)"FVgU-Mqdd0+3 ƴ RI32Ecd|sc5-RԗGt9LS w #Hm> 9|ļalZ=ę2e?`DO0#ep"ܵx2j ;~H-Ovʒ'=;p18b94^XFTj_K9l[u>\$o=I˘lod)wן4" +zܐ}@Q`=YB#I5QJ%=2ֈPhU3cX@ ÒPhE &60-dd0d~|,0  }ժeY"C)x=wrhr93CƘ)g\#!,QkpI{J-fhLG}5z6fh&3s7N?|,6쬲QC*$1+M$ej˗}:Trb& 3R%Tc%^*W#YݎR;$A]8sͯYYW "КcH y4o ]\GVc&tBaC#4&Wku5RFdIM\kÀ94ߟ*a /6bpt*LҙS=\װqԔG}vMjPDa YJ{6%v-tE$8@8sÜ` "aPimaqu2 a>6Rn5/0c^ĉ8@S^Hf't+A*Q]Fÿ~SK#ktq L)e1fb>gaxhz LDOk dbT8Fd`1]I8s3Ntfb3ĈmGn&mOcA"J7B'Ʀ@Y AӦMKqůӟcmɳ6)  dӤpJ/_k:Ɠjz?jW0e#n5;R;+ ,gOU,wXfI.t9۔4A}^1"2uggV&N3'zhcnWp~ 8 >{ɌwKBlF#B;Np: 1%8=x2d1yfMږ>bj# 9͐i=Da&p u@y]/dOw[uXzʵ 0e58€z: (d<EY2])uh}U"4UR?D%D$(d~ c؏1d˧$fK9,5"2>J"yq l;M|hYSl+5v1X^DEH#wS!:$o["M"A q9*+~Nؒ>hǡR1m JDwckrR+v2&z5?X5#N^ :) (66dI0Z!=n}I[HK3C1eD)eyt;PϾUt|&ޒfd1$1ŋ1\'Vjs(o1( W1L' eEQ7oҾ$d1b>đ,LQ4m&C 9fj\ӘAߞws1F`8biha )  `N WBH‰(LTg R5}+3b \a:Y'$Xm+ƫ /Gn+G;J1`{Y%q8Rf"-"4vD.TW_/I ZՒP ]!Ίk#G5Gc `Wbizgn^Yz〺#)ڑLF*Nյk" ଵU\R^ ďh?]F*4m@J_W;i`-@wL h TE(͙!x^0c[3bADRV0< Y!K&c1EU?>Hȼƞlx2!@>%1$|oRΕ{Mk9u+:/8 ~ XǛ 5d!BmŅay on.&i(ar9 \n( RWGNa)N/ՠ9׋2bo6'֗7ǚ.u1&0EwA:H۞ 0Gxm+ w5Ƥ6BXHdwCɟڜ{y֛*v `VzOqa!]dGi朾JD6TĽr0FW10o'\HW=hڽ>dk nwԖ"0=!׎|—L+sF$c|3#iT &NgB"xЦǜ͡ k5u>A>X`%O);P4#QnL.-CV-/ _[7yZp')F4h=;^ӫ|ɡD΁oeQV3H ĉ[Q5rp~Zc$TqpȮwȾթ8nwD{דEUo5Zd蔱D64+aA2,yvYĕA GcH$:Ė@a<0ıV,Ͽ)' c]ʱ(G~N|(G\ǐJG*wLhGxbd5NkLY1Ic!WˡEA#1./DHm:cC4r0m`M]0 CerWƿEjg`XS1=l44+;~g4pD=i=ke)=lBvEƠ_Jil}+GĐB_ӘFg35B+ Pn> F1gO 2&爾y(L}$qL޸l}<F(šd3BI^SHkCճw{[ʦz\j/~,oc|J(w TH F"% MeWqIr#$+q1.pu|'Q_1(Es3Yp]A0Tȁ.T--PwBCM1-E}ҙ$Nq57@T16Dn>pَ'[9:u[<[pp5bß\VI| 1r2 \#0nJ ^IR̦V*6F"^~)L! wryF}{1א 8"PύL!dwF mLx,f:b{2m N(W[.ryj)؛3zevсVptWƆ<mݝ7I7a!'#  C: !st!|ͱo<0n~$p䃂lc>m2s =Lw$lVV.!Ө5X['\рk˘c :#S^ N۠sPsP-sAN{g Ps\u;BN~Vm'XrpKey;Bdu{&s1#3t cO`@Z{NM C ^d4/` >EĢ.>"زW]"}=:Pէ攆- yc/±I'iĔFE9;":BĜ"57M4y3&p3cg3xk0Ml=aM),t WG XcXqAK(dD\<٦)DqX5rcKah̓4gO1L0##Hg0zp~ȃ[H#Ig'0nK0gBj;$(js5k$݊4\ a8,xNHb= pٶ#CzI-MO={}-5D#Ի>aU3xY6 ^.+SNRMQ;:pmeˎ^;m%5k3t yO\J<4I ۂ6QK*Jn*hO,ժWkD*\+.⧤{2oOUay#r^M{zK]/*_tz)x3 q+?9:K2ԸT0EN []踙AƒJTڊ,G[Z5QmVl=mJn>J!˚D"%d~FSVbl8?\ledGa%|N\aT&WYI1eeP&&J$9u1w ӊ13ڕc t{Ŧb9Sb$⸮ Y9r2LS\ *KJ{Yw|`,pаHlغ]PX!ؽBYD)c)9Q`Jf .q_K]G:&TF %>ũ^_3LyHSɳz}͸ւ0d* SKAҪ4Xadee 3Xx>( _%1DŽ#Πϸb9{7I3B:),,qKlw yVEnd~9-^Fٟj).d Hͷɝ(R>1*P,5lpRNyogx5$HXYa|!ΡO}J4I k4IcIcL)1+jˁ0$:C,D.vī9GOƨz3g h6*XQ +qs$t4>Х+Bw-^JoE#{s-sn;i_u)yr\`AKތ,{}E\SN iDo ˞ߖnfQ%aEH Hi߶gӚdht !bw٤&a^Ɓ|y5ӜT1hr5P"gàaG[LoN^ FtP3$}wR" eꥊ`s3EE _0RٔnF Ni;%q9cgلCXon.b>d?:(;ÎWIit*ɹ#tbcpxzYadEMjF"͍n]WQf9[SK8f6ؼ#;GϐEeY-N]^lˡymDŽ·F`mBbiaB]&raTzA#Ƒ o3i•i3sR aIoiM ._d*̀1OI| Dv2uc/3Ѭ:l* PGĆ#Qߨv=D?Zat28qwY{Տ1)0Q3m)L1F-}tId+Y>T0ȑ<^WLdJYH* k(l6GLf |x1ڢk11d}F򢬽/-Mk0m}]߮ޖ ӓy S}I3/^BZ<&DY*ڀ5XU] lĚ s8ea'z^o8+<i/JYF?ͷ?Y;S*v/`;O1ؙG盕~%;aa)+|^Jdn6%[*gtUXAwqS2{o=X^7wDCgW8bJWÏ?~?.s[\ǐLo*>2љ=elQTx歟M{=S5o|Ku6)/N "ѳh(%g4vFԋNLW }.`'!\\VwR t5+k \U4=<b*1$<>w;3zW0³n!(hHZ/t=H ўߟӲ3Jl_7J{숽d1Xg &Hop_ۋui*3ܟ%"R4hU_dkѕ~v"(N@Y2ÀoAvX VeSvp.=2s #l"Q>:]X*Fh,ZmT]Jblۮ$l?5L[P[AQpPǮBNB5HAX/x//OcW}\B,C/P㬰b;O1K"sm~2v&bѺ Yc mSƶ8tĶkzB?'ea."Vַ1Wǩ)O' Ks0L$/M űۤt{cZ Buuf^ i!_\6G m^]*uɩ>jjiNu5p6$21\M1#f2ތU,Ӷ'̜)e0(gYwIcr}O@TQf@[w\ǃW*#'KlР8/thɥ>.sFN1Rh[7#bČDxQ!S//mc18ik:4)GQR2˸cŋў;-yW%w:!Oɸ.uŀhJc$PK)|gtƘb͐#ň{ C|*C ojb|2,B_)Mz/Ԋأ2%y%{E=Uf,d(wΉ>czK8PcHl]#K=П8srw ^rrD30`/q}md F|%-EmAs{KYbH2x6+A?YřUFDخ ɾj"|%n}>~Ac"|l/Ci9fS a2R^$4Jɚ̐B˅1^L1nW^UY1O*c'L m ?M`VPN-mW D#+QrJA渖{14DV"njpƬИ\:\j/( Bdo0:8rx̶l5C7<+NPIRK=Y.֓EqF |м#̑xkKoYk=vzmţW>Ǝ` Y-Ƶn3ދCf. rivib@_C0 э0(sR'g+F, ǣ4.C =\@Vv8T-o,K`(q E;#AiN:-dh^:_ۍw3aS0VË(y2B|{رFlLpp* [w)ba6iE2$VC5wJގfqS6dWB ,u 2+ ̑stFU0UF̶&۾NQ&3/Ӆ87r$ N8q0ϛ^Qm11KfV9-и2fDu9z8Ij2Qc8fj+_-]'p@ƙ˔YKVa:uiDeÌb.L޸VNH18q1Iظ|L p\1{qK;Ҭ 0dRB_p\œ4E#hѩe9yQ3(Pe2lH۸Q vTaxlԧ<#_ӟ>%l4&܃g( yxϩqul+p.Fp7s(wl_6V̌5>-B_HҴݖc{)#Vkl²' b83'2J> DG3#14^8r<2::;شyI78=Shy̝-mbzdFRQОЗ bvGIW,঴ϝ<ѽvZ;:5,Rgm\R>u.GE0r+2~ Hس~9o-vZci:C1shu NPBpRjMdRj`4ZT{wLU$YjUv;\`x ˳E8->Fd0|Ĺm uH;\w`˓6c5Y ¹ׄ?S/)bdiltK8Hn8<|a/rxȝi6||{P2WM#a#Ӛ1Kdӥ1 iUJ/_Sc+Yz>W#sR"2 M~cgcv.0Ug-<&[ Y-h~rM| eSV9!nEQ0#:{g_yc~p0w,qT_Xa* h'8Kͪ'='Ц-!H?KV]^E` s=#cԜb/8uĢe*g6&{ctG*8c q̬S&y, Lʪ35hc'֟"?\x"rh| .j 3GYoVbOB`d;5[b[FH@:~SF%u+F`\Z>\g/(m =+&_O:0X}&;tjcZll hX\ljRqLlqPd=/vWHC6v'GXp\"Qǥ%eY}XagB"[ 4ƎGqGb*z=).yFgP3 9th|2mO"'w7COn.94yr] kX# BwOB96#JcYWv'yBeur(c$3?C̈́=8pp*]f=25JBN4:cu|hX3|auc, 3lt9}SFӓYRqu QXCujd34y$Vptd$SZ2s I`Ɛ$жF&놑vzkH[T/S@UVwna @w̩N4~ c9e.WOŔ?~6+FT7MLyv?>NFl* b*wMotgY/7O">{Ï-]nнӑd~Y|$bYhv/#&livȅQT6#* 5ίp 3LR\:yyYpl#pF2sU{ fYU^N}%DŽ_ ԏ;*AY8Vh >#afNZ!7(nƔL/d?'D2C`xv?8^iK.HhLrW'ˉ0oV` ry`jҋ`Y' 5XBt KfҺB-B}0s"wnTwY/M8tB^kff\Jna_'؟@gq%[lA,ZMN).^ пy#Lv\|D)Y2q5PjW2 }}CpK$0ҭe-KJZ'rAFB9ċFOMW l\5dze -OFϘ /aoرdyxސbQrtgnxc׽'\.bT__ Haᇈ?;kB6=YiK=ʼ qv[Gp]Y;%0RKї$Y! W?C\.®2zXn%a>\]g#m&.' 8˿0ڑ!4;*tӑna]1/爿P0'sbMӣ)VPOoCpBx.C@ v+t5);>^ٸ8{B2cr!yQ-3A@Z^Fr\4ȡC0&[+,Ld(.|hLOӮMFuR.Pf;mFbV |z'_@o "hφR{d7D-KԴlP9hNzv?cM`"lG[ݑ\RHo;%2Oq&v JM)"cs<6Ǟ}ڄ]ño1G"kK#rv}9@ka( 1K> f/e*>ui'cMͷƼNḭ+W(~;)%K)RB8zc8L9nyu0vHo@Vm3ߑ=!HGp]r\LF|yx'0de}\kНMh0:c K9i ڍ|r,;y2DHs$FR lztb՜v䇟qrk5./'쁰=g6/&xٳP,#N>ÎL.JGC6[a,UOY?8%q2Ye[x̛]Ԇ \JNiT1E1KgLUG ٵnߨMXnԣ!z1"KY$-Ny̝ 3T+WzohޒmfrdNz"C2!XM}4qc3VYTB{ ҨՂ~ >1ko>y$f7wk|<cvYu\;3ZN鮉$aOJ(]OixQ9EԖ~E?V{ 's+(rDd%l}V'Xopa;~g3Y2-Ĺn0ť%D֕Ƥ.ڽ?oCM?2hdL! Vw Q)We/^=$.$lOEE DldǙ1b_CG#u/3ZE4)K !FMY. D1|ޓj[)-Nڱڞif=Z+a>a{E!4xCn{SU$ Fp{t[_4RLOG;Sfm[>95źy( UzNft`o~AS"/?S&4 ɗ*F T)X{hϺlkvJ;+S7sU/|~:_2`c ;Q%d+gx6{3`.E0S0=EX#4гh4z}C{`H+Zf@#5Ջ3X!̾j)uv cF^;4eI=`)l=$zq(vNZb6+9Fi58|T6rm/*Á= Ksf,crJՊ7ri{4kj9}V6 lOJGԐ2%v|LkAT<=*lRآs:\5T1>lj Dc'gAw#_6kWzŵ1v̢[/k_fDwWr6A9ׯhj8P~(]͚CB}{%rFENYhS =.8Leśl0xG(CjݺqNZsY=$#Yʼn7>pkq3.Abvrl& DD\r)l٢mvSѵcjIyKD`xS1=j3ZR*n$N +{vM(,^s5)qi.rfȓ$p,4bft<4 jy4L:zb]XVƂvyV@^sqw?؞j:]H()ѲVMĭGFP=:1ucJꩾN85UM:uWCK~2ZNþZI\E88#\s;աK79Rf5AB-Yڏ]fGҽ#Tz]>uKs\$~T ^ AM^-ޘ5♟7jc_g-q\}@]epߪTe9\DD/yYאy ‡nyfکӒp$mM)Ov~f/4S{/H[ 9Sy ·:5 )KOH}Cf%~ˏL-5ǿ,v(sFc>^av[|[Vݒ9a`GgqVy8;6{Ls̻Z}A7ӕBq|{cR b~%nTN,5JfQ[u_Gڒͼ}=υKyp'~\=c0m"z[r2]rSNͮ>#@3eŭF(L$v% '63XyfQ?趢'f? ,lh1N2}ep~NQ'-?ӧ1\;){a.]s-ѲS<@R_ ,n>&hYF=8zY̋2M;i_2]'3r'js%%0i0EG{gw?(_?mc5M*DՋ 8s +󗜬Л&jpjkr >?7ɹ}ԛw6/o2 ׼_0BmXŚѝCI+cۛl&Qk'"vc31 odnFH[e /OW8a.VdzLrȦ~6 +HGƗ!u;}5XmG0zʼ̝z&O{/7McM,Vl>3F_q?O|^˸qTۍ 3LJR}Hbq薖yڎd5 En)y=Q67hxlxęZr*'Ǚ#"e @jik;k|ׇw :C&6x3z~3V1S|鮼P'z򌭗bZݸ5Ѩ.v#߻<Էca@:bƣbE[ 8ymɣqKI*Kx 60#ϐ+ݱ9[p+xJҋ-{NYZecO^0V.[5?h=sd6Ґi&5gudHY*SݷzrQ24R|5;g=*@%I᪋wޱ!zTM&vL7(˷#1m2n>KZ&Ѯh[}'*z9L|s~oN5HKƹR0k0K/i}-uf#^cO̺>@ HYH*iC jX7"iOq"3IRZuH"*\ EΌ"HPf ,t@!rݳHpٟ!ٴ&(Jh`pǿoEf^--&[`/ 2uΘY1 Z D5t٭dE6k5oϺH 59 dV|Q\)zQ#-?Om/)N1fI0&)Hqu"Ub}/+j"X;:TFh[|Z{!5O+̬akg?+SҒ崜03 ~. ɓ/yg{0QRNe c]UnB?qt7pebk[?=f!AMqZ'qсc3ݡBt6*Z&M@:̐dEYV;IȔbq<{Jr,PNCz⼛V|!Ek3\U}rIc;k,W ,e251%ĖW4-vs$ 4Dק6&~G'm𿶏;__DbÆ4Cݫo=՘2J0eQRV2*_Sd8_\gdaLq5gА+у$. ;d )\1S>gĄsڻZ[;{|%tp . oG6Mn ?קu猻åOˆJ5_1CcZ'&Ԧ+T"ϒ톧%5 3SFꪞQW=oi fz>V{$>R9|CP`k,8=H&`ߵ'{ڟ&VLT;& 0l6w3h4Rj.D-VP5h}?qR.+Lvu _ JLO;0gLa&,X^n}:C0)ݪ"T?KODu8ݘ߸cx|Qz-Q{\A&~O/5_v aGj=S:"PM>lGXcwcR0xQԈJ!>^u^v`Tz:?o YEdԽ|ҝ~^1͗|zS|Ul8tšɞA(n^tr'kt߾ɾx$ݣQA%PTdIJ@IPdNֳ 4R2!  DdܽxM'427o7Ӧ{1':k_;؉:kccv>^}SX('M99>SD3w0W:~%ƒ7 NL4o.=G&R15'Dt&ENI};ˣn>.QEsm&Fo^,[dV'qmh[]~+}4)[0ݗy|7tquxf,EO7t%37OzRW2ZHbf *B֨y<ܼL#ƿ?iFrQy󺪹KXمpdK#H9;cOy̫k3hF{is|,XjmH3 (N)NO;%apjDi)"2pN)6GyZ6*T5Ϩ{jY/Lnȸi_k>R#%o{S .K4pRTڲ"Icz"_1U ך aH+Gt滣 h5Tlݷ=-镘(l ]pV3u_e0*ad:w_BP="U_ٗ#0-Gԕl)/߾+}#T/ CoF/\E[ɂ䓤٘L度yV/-NQĸ%=]G$Uk!;Cv8 aqRw#r<ѕ' G(u0)<`*7焞c|7&t“Dg3r|`O9P ;Ia0<˼X$z*"i4hLIq"LSinX~`_eS(J5Ķ;MQ$s3Qjm"O]ZOHrjҏcKHzS`h;7 ^1~Sk;2FgcQXpcȞHǘa]2_TpνZF;.R˜}K2fdUw4صK? c8'7<}bC]x+wHe#\x49 ]Gi\ϙ1 ŏbZsq؆kfd$ ]՘j61Of_x3a0Ǘ0GBH~>cSD|6`&3CfI=!C!b`3cO)xsj%2lyn-!/lNX"|47Ty#6KdW ,NbNQ2G`y+>Cy \,*5E.x 4-ų"GSΈa1> Fv+[m_2}a97.k)HL|Fi7qa7\SvYo,ıuQ^Qrf3ԓ$=!x/Ne>g9I2y7&ݐV;bJf)}jdk$?_i/&bI÷ƺ ޒ7"0(L)qT7EXEQ~`]šG (Y9V 6fHZ.:,Pd'Bh5vŗ΅'=Ϸs=xn \tL*,v)1 F^h"Ԗ'cHrD9"Ln7 띄۟Ҩm7.2iiMvK͉ZCj1.'M~#Z\!"O:E%64E'|M63ϥ"U= /flp="ʼn|;%9AWmk9+*#StBx1RKН1خ5#QkL L撡OzdTDq4v|Z*g.F1lL+BA PjlKf y53M/QޜwK-svD“:8_ d )ԫp@TI"$8:}P!BTFŠA?bpe~gdD3g'lb+Y T !%Dj!$!$H##!:R!5|}  xyŒPj'QjqS4._k̼Vy#*cnC6BPُTd@Isy~t OI%o#&_jdb 4ˎߕ>PDpS4aqeJ'Hy¸8Oc0: dt5(va]8?#C#q7yA+r_4Kcla;yѬa6xI&rVaGv;L\Qt9g**Nb%. #{K و)2of(gěOA+23gJt׻3Vn|?_(e5 D53a٪!+ v!X,VrNJ*S˒8G";i*0KXɴ?*E8h)EJ(1Y7g=>9uyAps.ֿ,~@+,M3e]:'{ g%̡v4 t>&t%% 4lkqϙn` t!OFeMr+HP'[:0~yww(F=onJÄ1FZF".s똝堿 Z^W%7p*68‰{ʊM3{8,>mLe!`,<Ȓӟ0+VHđg@s].V5\e`@&/4լOt;LqH毪47QhEgo Hq,56kϹG<ϿҍB[ǝS[u7D֎7 ˹Bp1ŕS;^c7g_-J1:Ȇ1p7l\lUnmgƧF.n*}K_urʠ]6,WLpܔY:/! -d$I&]*oVQ]hj|"ȕtΖBkb h:_j.zO{s:YDtnS>zM\i ?I% {:r_Q,IL ՠg1+AM98⶧>Fq"=9%i6a/ӸKҟO3;Vةs&UK|E<3i,/M?? !1h8w kLqE%={B- dD̡*ގC|~5*2fƐN7#8{R?׀h4(t/7'7qV%Y|8o9TV{]fhn\{FViӰKYabhx8q1mj#Hi+tf;3Ic)=G{S7]<av13 )]]jy2<~Z7FnǮhԝP$5>D>U^9f:YBd(O@kv{nC`H*i<zs Nvte^,HS7*9Ga ;/uvߖ$ZP) %0nxc ww=e('\Ԑ78XL̗NGݟ*w$/P3 :2&#/#w͸yF 8ʔey:20 tKe\+#E5^}JR LLO-693XAzF"奍:9Zi:Q*' xϔ>T9zH]jQ){~$nARߗ˧%+H9F˃j4/*vҢ˜?NgL4r:]F)cXx͝~\ﱜŵ[Fa/2ˑ;)2&GOyɣ١.%iF\TZ܃2]3hW cH-0s._v2Z{c1:G͑JV,}1d qrHRzL#(ͧb.OE/fG2Ϝ tR+ 4^ޘJ9R&rokV)_>a>?{yfCl(a 8Xe;y3nQ`^ZЫv'4lRǜtK$ LśRihݗJunLq6(06Hj4d9,[<y{id">LEu 6()Qۅ? rwHB^s~I|Ғu>p^bg!‣ xZC'zD1-^5Tl/&/0<mz ,`Ldp6[uxt: ϕi4$LOM41i`?3ϳ \ (ϸ^R+bg7‰RR R   9_L`֥؏ QlRɲKi0R'ey$ \W@,ɠG6P8w% f[g4k1ٍzN9;^N󖿂vX';ܴ6n@O-Ϡ^a 8*NБ?׽`HHq߂]H%Cyu 3~bڏը|.z'\M"'ԼiT8} uN N|| \+ aSiphsozo/K3fQfDJ>͠'2鈰:ę-A{œMi'sٵG:k܋3 G b]andȴSMXx̠:vkF9e]jn\#fcj 7aqi99ŕ(/BEL{2q4m؝0?pvxp#:~ܓ/C{0:.#,!9"=]?x.!cO՝J)Laۇ?0 |Ԇa9Ǧ$sΠ88kV9'Yزa5_W9f8Ɣ0sQqN2Wo;m N?ybUc'ƕ< {7йܤ͡ Zj)H#T/&Qx6{s_bY!V40|"^oC0?c ,z<3-20Rxvw0# O66ac+˾ݓ2m~䋞^׌%MMf4q6U &ڼ+HD2: Os2(Z#j@dpi`yt& L8T-9C!ACtKꚟ #ST"?J#ɜBBHd)9Ty,گܘ܄JbA05PdȏC,S(A쉹c'ٍ2&nVx~=A_x闺Ah$ٞWLspAZyqQD4n+2N|ј q3Q2S4nE)8mz"Ib&NQ焉 eW[&MUS%w1~(|f2uɃ'7Aٓ6O" p8fDSˎi5a+Iz]jc9 ;4 Ob #9X*0H1Cw1CaA@I#Qbbs"c';dl DFc}E!VIRśIR$ 6V׍Ĺ1=s?yG piR{9Yaz(lJ(]5ı0Mv N)#]c]8$%v!B!KBA Pd٦tII"i'LɨO߼ċG0&zK kl* zVQPÿ8'Ur%qKgh3*A%(|M˗speC leNj2j $|^NmiG  f^GĥQ5O!{55 FxHhs G].u6VS6Q,&jD-/^ow/F1id̉rFgl3BiHNHnxbmM0x*^%nldU5LԿfDu\HciX{0]b'P'|TC:1\Q([K!<(;WqM2]$#AwKZnFcg̋婹&^0[MY 3Ny(f *=~i:盞d^sNX9&={ HC.tV/ę|["ô#%+tjUu5À&oh[c띃Uɱ~77"%*HFdRLdD"#CݕK ĺ5:͌,Q\Tl)so _ w9}3xOC[ N9x_3|3{Gghߒ+1^lɢޕ#?h[rD=q#J`g:7GSjA 0Ey5:|..%^bv><6MMxg/01O/!M:xI5PHS ߫b|s2WS^G:eB~FqkbS] x?땒(uۑzķbJrqÛ8c`hOCkqm;;<3|zb]iD(yFS{=̻.́gTtƞ*w9ay8fյ-f_ZR :ep~Ox`r(;Z财$}k"`d\0\/y2Nj5)uKĉ#bd}#ۉw b )ZLE3t_ץSVxS'G{Obw-<"(z)fj?&O˶.x`L9߁ ꩏lsH@BK-q(u|߸C8׏ڝ!|.ϡ-<r5܆s30m2}d<ϛq;H;ir9 ۫=sO"` EzWQXT" FȦ쏼V Flan^J$W~DfK--ROķe\C(! |P(P,#: o)EfE(*śbEݽOgf3dzC<:D KֲDު2uXOUmS}Ğ9_sp +:╝q>ݛE[ɵ&xFΙTDPa,HE X (54"1B*DI+A#v$Kp=5hw]4Zh"n|*lnukO &tg f+buES} $o,n;*/GR]E6k^`@aMN\07b >4` mp$խqO'E\n(X2 EBMU$P|.PHCvڃaYM\{O69[7o n4e~䋎 wnUj>C%_7!0wqΨ.1{>kHЙ;2!xF|U#x k.n>|Lm0ƦAauSMcT}_5ض2DZ 5Kg?W=Hq:Q^yGws\oG>Ķbb4<\) k^K憜Xrlnő.dιr+xoYsv8y>vg/cKQ,ﵚ6/THϿr!zeشu9 tU'w(c?*2}!ef遲`νx?'w!4JuBi3Gq|1W\YyIhm|Mq~h4LZ)n5;'f1tՖzMG5Ky2~;5u͠K7UmlW_xeh rU$w^ͮBz}c*vs&RMA TߎAm]՗iG0r#6:f0ͳٍss^17!6TNr4̓^>K ͖~ϯMG:Z]9K'H%ye?ZFt܃)7>w)h@o2F߸ZX1؋1/=)F!GPƼLAiuԏ9Lm0u4k!]u}!a9>qwD1c!NL᮰ Quje/A;A#Z_a# j5=**xG/P~Qg.`Sz{R<:g`5rWQ k l/5=A2_V]~ظb9Zᨠ)_~夔Œ$; RD4zJLq.ΐ2GkĒi֍~C^eO"vУiԆ] Jj|$7(u>VYUQgO# {IMLr0 e-39\YlQdz qz ҋ@!n8`-)ܼ1baysG[ä )ikc8Vhgsr Vͺ](hO*L R014 F㕊))?$@ԃҼuyZqP>i34ٕ 0g.~ q3} oO dO Eɿº4M W,ejC`R _R.c~[s5{vaa@|;7CHe0+1MD}5zr>:Rf8$s`TG c$3RŌz1ťF2Vr;'pyvs%hH*k$ TfE8$0GqL'Tu=(v, a M )0Lu]>r͢&؜npC Wz<Y$lYJj_ތm7_j9EA"r2lzˁh32kyl},I ]3^NXee2Pta^$)w ay>-YMR ȳHD+1tLo\)x4 Ge !K%cN!!Sq2c#ǬspYKfiM;P/B]JrE:lD).<qϺa,vFdS*q#El]F"7k6Gg4r&6R H]E!x=ANrC_eW(ڜ?%Gju$00D EPS hVia&tM9>>2t IcUu;^WNmĝ(}y4&{ :GGNgimnp*|䔪3 E4|.UDgd=j?dH>bq)5caƑ>loعS>~WCO5a8wGSZ=Xfx]L8)eϻv77|ix#L ^2W"Oф7G\m &J]@"'z7k1 ʼf wƾ1d,Y>G ZAc*T ypE!LD kC02]䇓m=9L#tLD[?JfO6MxlM}xx0V D4Sۢ1h!VaL.ːٻSTM*9<;"CD9?sr8=BUs8jr􇄉f;Fā&}NtQGLT@؍G$b9pwcT]wHIx'ǓŽ#39fCdvhU)Ώ6AXDѐDAq, `NmN4/H[#h,ِބlQ \7W@BPmF +1,x.1?G4̓F^A/Y]n;d0lcl IN%QN^{`lW@.SM~y,CW1vc8巘Ϟĉ˜*M@68vxМ) {`}LFDԛX=kdF]H)≝(ΟΞ:w̗y>8A"쨓T+:4qɪ04~h]_$Rx4{r|XhEJ@z' <~6S cfDg+C0$}n^ޚW5], M1jO>rȁWF0Cċx!L)dh|o┑>OXjS9wADX`̇7mdY <L2?򟲲;9E薙# ^zрj"֊dzRcکH6ZhHLyGlيC7t| M[qkժc ۺ쩝9Q8OAqa`+^dJK[kCrWѳ4ZЏ~~O[~ZokO~9eL  j4 h(9 PJ;DKsod6m?M7g2ޯΛ⭘M,D@zG|n~A }+lrPж <4c9'HAWɽLt`:a,"tU4m}~۷:=҆>HƶnQ%1z7Av=Fb(Ȗ3 ep]ñA$v>7*MTqH#<8߰\o*&v&'*pkAcIPU%D=z EDn=Eݐy+Ab]f2ckƵxueacu? 1Yp?+'?I\n6AjPNA m0ZrV /+nƅzyi- c!⹶cϊTH!Mz,RnbU~k {g~KƋ#0# BtGt]2'꾦41fh.KR²\m ![W0—pxuKb(a~ ϑ= ;iҏ]_I^̭~,'|?:نh> oЍJ`:kh|#RsH$.wlIn3)QaGajDj ࿰l^8˲<\tfM͎?#$&܂%Ab#T38!&b, Df~3?4zw}ʉ w5iWl'K1Jlz&DZk7z3-9s=k'F[Х.4GF.u21XqvD#.}1*4b'1UkȼC俞XWfW o-+3'tIWKܮWr6vNnC%*NF]qߴz1zY_#G:69 ?׮ou`cw*gG)k x<{L"xǣh̍cn<OI%-F+.տ,!tf{a~|3_{ :- s+MS(HsXxⰵ-զrmj{׌E8HFrXf<Cw#~H8}_+o}׆) T?Y4wIů]jo7rd7:(QJƋO__L”"};|/{S~*O?.gx9e#2ظ!e৛cI2|! BD [aR|l5Č [+yu_ݹ }1\g^ulƗtvOJRIrLpsYrOd+;?(dBQӯv7r,e4.q,{iq Nd12b|،/k0L,pFjq^.6D=x/ߚloHG髠 AAA,R/ɘ©G`bV۹wR2wL9%?lcxV.S, QÙoD9W7gyd߫1h[Fٔ] ÖcH9 ,W"c\˧Ҡd%+7 b pd#ASmBQI'H'JO sեu7rN iLR#'g TR%&,xVsh5B nP|X LAO&2RQV" N$%Oo2h'(tyi 8!@ #@aGr&u Y<Ƹ֌f6Y=u ji */ꍓyt w)fxg @^)RXRqZ>Ѕ 8Y/d1B u9FTc&ף}8&32pEjrmG2UW;Q= Q_5PX[˷~ItL.1h'Ob6x?|^ DȐ<(LEI0A!BsLg;ֻ;QL̞nd52pH> n׮3NG2H˾v-ѵwQ:(DwP6Ji3#LBq Dͻ5㠈76'.'u+ /5Qdב} 1"1"t .$oN1U\<- S{2kmev= :B]fi4'ctJkB |?^T{'"d-a>yJJ6h9%6 p.k{JdLz/ ^/r&w5ȈooGM6ڗvX?.Ld(e*{;Vk+_᤮k82`o'KƲ1ٍ)D+9wQ^k 6Bgp`0N/\Oȭh몾}YL=VMW qwi. 3Bo+~INؓ v_N𸭔A@][xYFJG.F)*CS[ yӷ3ޢPݣ3'M%0nWy6X$pF/oo%^!5]Ӂdíp gyi@D ~y!dH"$Ky02E:+HDK`4bC*buDGD#Jk/ҟameOaM}u_&SDAHpR:$ (' uJV?!%CԵtg3n-?P#۸Asu9%| ȍ s˪UFGwK1ouRvI"u^vWP/;?oo/ٺn𛿵*I$Wڥ%d!Az{FC 5:cIG!C`Po' Q݅u.ctA@9(amKg]7Ckڱ;҆aو}.pFqQCk~ /I/c_1K:ag@SϰK;15xGd. j:u]%ET7I_ESr* 5cLmu&IGUxaM^#ϱOh5b!|MxĈԝik㔜g|nrCB:B+Qܼ׾瑗l@H`gr >WfwݨqF3"#5y *.jNZ|ddݓS"lW ,i8Vļ ֒cW_9ʬ$cS"gI(ؓstE8،S *\9Q3HONk~d OfׯgiQ*N1C/R^UbfūV|˼E,zm?~6Tz'v7pzfZT5wP<=Pc&FVwFChG #WJDoe(쏏1kE\bPQ2c҈p uD}79B zdksZ(UyJw1d?ɵE[B !5a ?]q>cB'\Up rL#~ 1(?U6#y|!0s\sN1gi5轝Y;r! ϭ&wKB,YWEqG ~省]3\첧 Ro)&^mTc廞xHo{A r8?"MbDv`ֺ "ZRV(%̒?7c}&[*@QFZB GzOd}Dե':D{C}G1;%UÒP5D"жYГIbBy=(LŇY/t69brEd;zIG:o=|t$$fT}OIߝ@x=Ϗ_qMJ؅ F  !{ Rr' RxT ӫOg7;FA=}sniwq}wԧBs{lLЫB$xvM\bx(&꜈AQvKܧNp,3NГC~rr{J5]`[$~>z~SZj&5dַUMjb:䓙MV)ܛg$iBjSvLvM1)'M8& gUhjSwϕnU 4v%&~Rd9\<ؘMEUjNIKݽ`{3W7倱@?^!cE:s[rn ^GZ2q 5Ya7'.~"K]ADz?Vi3_,nϋcn3d ۆPa۞J kQ^ev3>2ցk2{jsVx)tU#o':Ɏ9ҪO0 WSIP(w~Gbiܬieu+dž_'$V0+Nĝde=8;GbyR{1_)VoM5ooݧٻˏPvʖO>&)..NޛΝ'Muۧ.'N9>juj'tW!E|M6˯]Tٶ79/e3g~/ޡz{5yoϦ瀷]O4^* 뻋)ꟗI9]`lz\ UrZvTZ׽u{f­^incӭ񻙈hg u/kz{eg:6x ~~ toNo]-RSo Yn"ۍSL_ܽ{ޕ|` QEbW[ͷ\z$_> {}cg0K R8{1ElZ>VolGw`+[o_zCL~jpS\%oXsrVs!E4Ce3,]ut3,Uf[}Sޥ%i2x=M%]Ox?misS,e§q)]rGUܯڴ?o\ZϭѶ̱ԬŻp}0^},^飈\q2)ԪM&]Qc-˼_ MFCbrp+::i7S:ެKWF^Pepfy(g|򨩷J_;ݮL#7:^ȭr+9=wD 3Ļ^= ʴmzoE֠5M'Fs;,Mk,q;zZk<ģf+j/ZĴw 5fKWROFm>,RY-+KΖ'7):^Q_e1@鸊,/ra;&3MgpUZbz\PCJxʅ Lʗr;*(J&Ys `Sl'.5h|_7~K5 ;d>Z0UG=ɻeV0ʍ7W1 &^ֶߒwOroa_ŷ8|w}ggd#‚ T P- A,U>m)vIt^vA.8i| RD ?*fM,4JM4ƒJJW&1K& 5wSXB5 @!hBE @ E0&QAh HE@!@aE!Lf9RI`BodHbQ B0Eb!5'qO,EaE!PY pHiIʥˉ *bL"B"H/t()Q "ٍ"!znX!D.6,S'.|k,!q4Ҫlp2ಚSH%@䏪rZgLUhH!$ ~g6C 5FG#jR U$7;M"i;j!O\t'M$7h}2I9d`xPM4YYCU8T$v!|Iz1 wy8.LOL,M@q #iH 1ܥK䡣)'MQ?)$HmYw@̤nViI4lΗBA!蒀(B" B!$"B$#"#H H$2 # ' (zMB}*vF+'Cy97ZB9 ƟTU7[aƒf3vIk0J^ 7tNLP&13w\"G$>YwQK"~S㽡H50HQV:#hKxI{8INĕ ˽YaЕ;>'zϼ?}5") $"BH B+$"dHA"œQ¥Ȑ!"$K)k7ջblNwɋAʗZI_Dϐm0(J 4)5JYB5a8&28 =! gVt$hPhqPpP!E5(.nS;) K9:0j݄H "B )\KD4qTD$d}*jړ?);]7D7t &ޞ{*k& @Pj!E*)Hh !qgXuYE>597I;by%k[ykm66F^=!*ChIthe Z2R j[ѩ*6i si{q{\ɑ)~ft'p;H$ I!|W)'o>p8$?BB\ JDi#ڡB~!fRvaI$t;zh{p|E9񏮥HG̦ n|C M nij 秅.OIM.SGe;x) &c ۓ8ObbyG6gb}GͿ|{;P&Y);K'}â)?RɊdNcq|'6^>kڇLmOK).G^~ۉ0g%%3[1KUfŁ,T$wg<'WlBY^tLDgD>>m T'90؉lpJ)OQBm_oʍ& 1+jWOppOɸ*L(?d",pf$.D.8W,#Պ3I2cVHT常#}Iz0ő(V73yxFq:R-BR I !|$,kqqK.fq=G 21X5(biL!DAO ,?0X GztO8`N8eH3y50i:RiZO c7ffd4tr3C6;rƗ4s{ `d 5CLpDRc)}%IQl %v;eyysZC0"~A0р;$GR~aF}2T,Nc#(v \P'L]7`z>,jmZ&`LÊ 9@eŦc3Q/c<ךq2̰#FRpPrJE(.ȜY xOhJX`Q>}L-BkO+bb p#*' 0dH10j#јpz̬#`% q<^3?Q,L)[1-Oa4`-R(= EH%R`ǜc` 8>,0 ;R1Hj6"lr3d_;ttQ;tq:d C`.AdH$!38HiHE`+ųB,=4!ؤo^=FӴI`5hßKpK&A8ʕB X;+$Jpޛ(Zg&Tq"OeS~y/:<k1"\=Q$L9$NDP .u,:a|j>fbbE<{M+ 4ڋ1u+J:;d,k0%^P5GBE0,/ieRh I ,PUF JCq!`~#un9czϙHJ 9# I AhŘAhύ'cJӀ0b7'du7g!0D8vNrCI2XS7C1&bPϒcv1 ؔTt8Еp3C:$9|i ѽ3Q!ySPbq(4"0y(09$'s|Ume |r4.',CJO* L)Ȓg3䈸6c,c`X cK"Y2Qg(0GXѕp$ @RBe<1DCxKė̸ /da3Z@ 9f1# l.:#i5g(q$s._2" vM3'`5|D܅%MYxO96cid1`$\NH]Sqq#Ee9 Ux^9s -2(p2Gf͞aKpc YxtRY7Ma Y!(\E22(GSwHp~;Yq>QK#HgQ֔fFs=<\=-LKMtOXb6a,RBvù?߾lK<^r/*C^XʢSqM+;ܿ[xw._^}VV>ZrϮn^HIbrroaY$$=]WjeHB{J>Yj$''Ewش&vi-{p?,[O.B},}j26+`f.^OZ'QPMNzu=!!!! I:FX';QV hH|B*Q ԔBoEC}$x[C8#kKX(a_HBCDҢ;WԱhNMwk >UeQ#$EBBBBBBve ! I &ʊύBBpT$$$$$$$$d$$BBBG$*!!!!!!3%! T'(HHHHH!!!!0!!!!!!:!!! B1b 'J*_"s{sbО!!!!!!!!!#$EBBBBq4T$d! P ץJ*!!!!5VQP̨HHHHHHHHHOQ^fe P hHH!!!!HTHHHHHHHHHHH*zEBBBBCDPP(BBBBx*WEkhvg.w9KEܫ ]<р<4oш -)Xβ3RcӴ/o' Q$ ⼽cUijUUJUkZ[;Z*TR ZU*UUUTUUUTQ(UU*VkUTUUUUU*ZU*EUUUUJmkUUUUUJU*UUUUUJUURUUUUx*EUJRUUS疵UU|BֵUUTUUUUU*ui-UUU*UUJU RU+ڭRUJ^ ֵUUUUJU+6нURTUUjTUU*TUU*U*UUUUUTZTRUnhm{UUJU_d*UUJUUPU;KkUUTJUUU*ZҪUUUUUUUJUUUU*TRUJ6UUJUUUU•kJU-kUUUUT6X^ Y%oCdi\(L,%Wg9g]%f |(D2 5z$W$;lVCQBzo)G6#) -ݶ͆+_﹃O_dG}OCw7<ߙc\mMЛ7d_PvGPmw;I#j;iͤ;CR4>! FќOex4yY'I9?֕ج0$:#9kc yAOZl2tOK4T;uZ-0MI"(jQӑ'd/ i(yWR&#ƻ>wy*5mQ.GwށGO<6faE!W#hѦ"T΍7|L9\Q4v`#ґ*%1 ړCD!Pk;PB Y{E4S"Zzmy"J YjM խbP@_ ohV*I|ȡT}a)zXDfVz5W\ZUߜ 8Rڛ U'#Z.CLb}F{ 1' S*Ʊ\وkYcpi6fvO(zרOr).Хx.0,= %ʱ[%G4il'F=ɬuɋ6 ȅ"ŠL9cZQs 9&~Z ?).`U;u7G0GhQX |?i։ F#'T )h1eπdE>"hI?aSMptǛ]8&*'Gl{Ghh:'X2fҘ 3u 8k_=rT +gΐ8q||ɩ+PJnkμe;Qh#0S d1c,P&4ӟy8_C/g9L")K9y7(j3X/G(Q∽/{I)ÝT5ՙc]z ň\ފ( J:]A5i1Nv$Α<}ckH*sqǨF\ 1X-y&SvQ'IybϚ Pg%p1kȾ^"PPEBe6c+.@9 dKt)q̭C'd~(S2)oKҮiۅ3vk񳙕RР$t) 2@>Xdd>jJ}:ܛ0òYQFz\uY5Yu7bA7'j 样QsoD+7 Fʙ>~*%paAbip崹2~bǭt2?A*M-cA[$3,ClgJlf!LND 1tbGţ ^eW(:K>aMƓ+C2oqT%r>y94F֍ ޯ B蕶1r^åS\386K"'̳0)1sy3i,j'X{' _+^[^ŤVTL@]()̽D57n}|DƏ )I|8+Vl!]X3%P,rh<%`OPP@4&o9ݛ!0vX⑬֛BꝄ* єvO 9ru &B72ȋ䑙|.l!3X#숴d:`?2"Df8,})#@cdTEEq$"Mi_^u$dGRda2aHV"*`g.⨿RU8/.uB}iEzܷ`}&jzXGߐ^1ܲE0:F~m|]2m5_*7 &ᬛMGPJ֙c2mz҈9#JdFyIˢBQ&'lWTtk5pML'¾*r"E%'81KWG 1Yr#{i'!|4 #2/b7(ї@ȁ*6FStYXc"yc)U<̟I\2+E<$Љ񽛿p̔Rd >Jhtthkni2>&mtӻSGO뎧cҩ7<ɭAwSsPbnzNy% fgqBNP']$!_RF,b ,/2q/n$k=7AFA血 ~YO}$/-sǏ8ƵQd&n-G! >ZFGОQ㻒¸L 44Ga959hV_e0+P?C^{؋1BC=\??! )䜏@~'B=æ"˳$ "_!o6 \OxxOJՊ̑)gER6/1N 6ڧ1%XY#0d?s˥V0@Jc,h8_\q., Ckн c6(ӥ(O\q,?.cS⸧̖j-ȓ*1x9y4 "T݉`TRjkDן&/Ў<9^xK p0Ep. (!62d0d%с^Jyr?fh}JN{](iS·e~h"( h&%E˦+c<(zœrk0pB<c;AxԳoWtw7SkG\܌|4\*LaD祿[U=ļaFVFc4a頉|6bif%ٶ 16֎r.7|q'(+%vF4<# Us^3NuH,[(c D]~4Ҕ83R~ctI 4~byqʓb9^!byfӣӑBV#vux"DŽp*Bq܉$1&,V@aK'Jn/1-4t,Of%ylg@J8l6N>,"Kep1p*G\zMp?˗+OzvYH'|3d{ѯ]f& LixнqL#0eY%}('ͩZF5UR irZO٭4wOXd2` sxC SО! C(fDLhJeh֞âgu.tیZq9_"I6kf}51vpI 2GVSFu^b-!͙4s/>z(iעR9N4ܹJXud-+^I#ԅ,1gRS4-1)gWmΚXZ'fC"F{`09G!ZJ__Y3* SŐ{Շ6jc70S4dnhߗa`1ܳkqt~LҾ\z^`b1E#{\]4TCx'#H&,\ľA^ * 6bidV~[90GMk8 ,f"zCLz⇫ef _ 6 2{[D%,֞crl4!Y-i=b(#\zZƣ44_at7(w4n<`+D y_m6سP@$>s%<*&I\$|W:&̰X{B-gREFs=W#uVh׿C &?xH09LԈZ7>H=` h>|suWCpcD_?z$yzyf @2Ly6'Fl4tpM3rI,!/>4yo P@P*+\s*2thZ9݂o+ Cw."wkK$c$ î`u5c; HPh;H˔$d2`JOё`=T$'O#+;KDn<17*{?H=ᎮFK1ɦ/R^}6ț=ʶ}f8bXs"&%`'+Hx(*МSS_ OTgR dl)Ï0GCc)v"& Udէa03J>}u1P"spN1.GlN$q)Hs 2>qvZmNUQ~C#4'`"DH?+ Rϒ^]c5Xu} Ȏ2_u7GbLsc,Hل&w2p&lIS)؟*v[^r6t̙H %OϚI2dc$4}VI|{E&b̯smu3/c@+"ϺLXe {(c?n1DW/7з5[]o4h18b?aDI^pF!j>@u}$=ƐHҬxo](]: h?y^u}+/6晾[vXB{c3lXΡ%XB# [H=ltus-ƊW:҈gabM&ma(mOak}/u骀J\X`TQ8BT=FH$0R2?)LC(2뽳6Z|N?Ugo#%w;>rj鄧ˆHKLjK0*i1k-`Mek5#6igNo䢿!㍭1eA A1GkV,$A8n]Ze8)WX]b(HqS~nyFb8'DI} u;l7v$L54gS: ~k.VE;A,GwOϽ%h.-gvAU}ME>[qDݏF`)hʔg79Ō@L?O9VXSxk)2{`o>c9KWuF*N+'(J{&Q{ _դL_3a6F埣!VL_q/@23Y"KX)lu6NND~A]7G +oSG?"j;[͸av3hx] S#;ɧn{aÛ s^E@Ҩ{*) "Ʌ2P "5 L$*B:HŖ'x\`s>lF\WA0M%tI2&Mx:SA!BkKMeUkS͝]jy }nPR45,MMuURtFJ mĪn\MK #-R\yLYImo2%eAglB0N7 v\ZԊ5BLHkA踗P ȳw^doB)MX9A!{fGMK2^jPnR~p0DZ;Ay4E/o0udLriT&4'^3fea:J~۷̶8:O`11xe AfΥI'4x4цM O|-N. %9 BZZ(Y_7*Gw&A`;9v>dP:ISjR6P'd;Ǧj8)CB{mF{[\sa#e`Љ9<)# r$OG,Ė\{3~(.},/!Ua͂z4[~kgNا)Ya>'A6,㘡ee6D+3ݛ-PlLnI_5 ~7~[FNC՗^} !T2&@P}ד-f93`oYj ̃2jhK[YF0."6~=4/uTva,F?$Y'#7;8wdowiԿ|W0VTVfmq(߁.%Gr˗&}"pz&3|?qQWʴ(Ll#]M3v 7{Gc\3Ț 6ύ}-'8ϊ09+eR:d\9A\1 bB&DIxJq=j8Ra3+`VsDR'qkFX% od#8]8J/}eԤ4]/a_$+zPyU'Q:NELG,dS,R^?g(JKIDAiڕf A"wHB. XinPfƲRϦ:IyGd0B-tY3'Ufnf< !6P/fSxmޅ8F*LAS_}]!e'M.S TCGS)[[M3.򢧛333=:c0 RQ+ư!2R 7>A KP5=f]NgπXM`TJAߝ*ur^P~S[K"~}}a0.G"v<&=bărO 0! =) :l]]M*J0P¨k"3glnb>·akw _T*h Ou[+h C"UC;|R 8xܪN*z# ,MΠ.DLNNv@'˂6Blw[x_nnYw~QžHCjx8Ep( <ѧ8Q|L?~t.<=_~KeQ=VǝPW L}Ӡ=^9W!(*&(ũ>/#>N)xc00kv=~Ş?7®ttޕ氇 ucMaƓuK6rqc#~ScAlRد/28ʦм#:Gd'SD ݈1C1R2Kn6nE ɛ~Ь3ޝ`1x(HzyoUԑ@ j6C'*?σu銤I a\D42{0aDPBf$X:ix"9w7[RG5%9efɐ'X3dg` @Ŋ_sLls>d&_zjEBvξzXZMN`MgFCoN>-eΎLi$Kfb ɩ;_1,ǖ荨=p(eK/ = K6x%)ҹ#J;hg֝uY`NIN}[!|B"t* ie!Fhkk/dj!0<_+yAy1vLZW&HV4ˬ+m'<κ=1mE>r)Y?bD?)) ! q?]G s\z뭊[g\fA1-&2%ٟ5CT =i;- EW5<F`%7 # KSvB5ֿ̈>ůKp֜GTzŽ:^OźhrE)NSGDiS'_M9`_bJF*d]g/'֟GVp% +Ȋq6"=.Mn9 Sx99Nڠ~\ll٫Fl&(B"/u|Ι70Y^t.O1Q!p_M7g < {e.Pf^z "uI DsȔt ^%ǹ$jYXum.d*f-a494h'K7Z3Xfih!cHS(!s V;0E`p ˘Y+ljzib4rN>c1C' WqDZ^8 *!]EXO:fIa5M5ta'`3‹pUBǛ{zm-@r>U̘gj6aa~f}> NFǬ` 5FQ=tj,x*JtjIbPB?sC3W (hy5"0W I\K,frT(7zn5'_EC*j&+CF)>)S1^,$ oM˵*V^XAA*cO)Ҥt@#ll>n%1XMѧ!L(=!\wD;ڱWON =M0N= &&6|9sd_ D$#ęnb&Nh Q6b6s1:Iю8|am=TOfd3jߋ^mK~NWҞXqFb"g- 1ImA+FL6̻pvێI?\lm+f @CS, T7wAu;W-#-'TŅo##s^)ay0~cT},8]G b#j'$!:Y1иu C =qq$, 3q&I`'kx8P[~=5McgtOBc|a!;-NL}$3q&br1}m_}M'5Z&]gKb ]Td*cTh#!|:D aj"u,ƘbG?"1yOCBŃDaOLΩiҭq%Trኑz;փ`Ft ң6_ l\uI a }=v ‘( )LY+\ Ss9ٸ:UñK%ξԣ{ubu$7% !j}u.%y01+%tII ~649DEwI(hK%Y`0 gE!|||n9ɩ6?kfsN<, RGߝ+s]Y̟,{TUG^&rva $i1<ʑ̯ϤLP̃d*癳12E/W /7բJ[E/]9"n@(.B0KHDczQ օb #8pi:¾?TbLVv*TEF01rpP ;o qFl۰YΆaۦB1B+;nK # & R+vW<2c- ְ3^no'=;j]z4b?1ixk3Qizn1ɕxPc=F03ȫ)Kga(AU"FYaR*XF$^[`бq쟺tđ&? $ Y2krYyE\tB`@[Sdu2c0|,\}p qfxl>Ve=ܠ.Xi*|lr[w"*hnm{Ӊ:hMӜ69&, %`|d#f`d5gqsN7T*r}wxÓgFQ335y&處>c(bGimȂ+|Jq%,P]'7p;%r< 1gj/8Z8dڨ5Ja&( Oȕ0M:?o8H2۾rb bf *?`Mc}(;H#{,͇i?:R^^}1Az;ca4 HƂ5p#vQL}8P7o CΐžTm㓊Wq"MȡWSpch߼+ǝVԫ[.(@锌mG~9hBҺ}"+-HLphvQJ+`j.<MMN7\턖>vN,WvpYH395ܫ=b1CsėCb\G}iߒ9sa-kgD&]Ʀ"jq )RQ46B,'ruEFRKŐ.hIz"r0!-ҳTUOAAyKڈʬ(6`fHlkQI,d$FhhY:>u6}7{٫' y# 2i-OwR50WNG-{7.l@yF4F(j<--ȎcOLe4&!l H6šsDf7ep+ 3rلclzOAg@1@#N@Y q{' jJ:a:A2XZyX޽䔞qBd)fd(qǟm%e5byDЋ1(urhߐ'0.)>(5aē"?J0Ҍ˨ɍpG1,Ih7buLcN3yQ&PqƉA XNm F@VwkoArjךa5xY ;\;ਂgdzhbbTM {8{ Q:N!B m5'ڐis-Oq&n=c:E5fX-F~R]"*}Cs8I!)^9nGcrGVFQ*cFWڟZ`Eq3Cn2f?^%Kv$+ ƓHsqG*Ą]TPb>S{L hչ gGq5NXל7nƌ_^J|pǰ2oܠϤN}Cz gN4.,-Z3dpO6 S#Җv[؋ϒ{M9^)BqJH"GX`@I_:0'"JG,&<Qz*u"*48bs[&{A~_R?bU2얖GaP[Ld׏^o_ wȡ65julwqȡ] `ң=f?ZaD܂ !yzJI16߉V"%I U,`L̛cL8 ӴV\#|O|TwqizF[>B\* ^ *cXsܚFڍ[f8AsFb6}Bx%#|q1s<%B zD3W(W EN`IZ |nw &{I`A.C +l*_\fvH6MT]Ś;7켙.xKxBS&:`H^ތbģN=&u{ƞ/)F&hr9T `F?iHy]c)ЬCR\iitGJЌ1X' Mץ"TMZr7nH lZd{bA\CZ離^[=![ 2`\9ވےE!iʋ>A<)N,Ϙo_}n.G} YsG@rLżdƟ˜Y>zx5)Dhcu4U"2'p5#2\h+댔VgF*ulhemPBmPǭ< 'y7#8^YPd n)%]q~إ3ig'wi fIuQ'L+9S[F2툣^#˸2X);"6suE)*?|Jd죄B,?+N*ē.|.eNGȔ!_0PgbB8n|Zd4׃^r=@ũv_vV6"cn0Đٱ,$J:[e9D*gP- Q+\$#,97%%!+ubzhO.LQ||+{L;n/)0g%>Wi>JPN$fD:RLO)afƜٻcuI}1H,P${adغNŖDwNu#S%p@uN72g=)ǰ`X&&%d3 I"tTVTdTTȩbڳ A<7bTC$2KRpߧi8 .ܟe34=8$yA}dڜE-4!Wгm6w{l쬪D V|RB rg6YBTLY!a#rPT̘}K%8gM4Y)׬_X 'Uc.DJӆuv`zqh[;vӧY$D!T.)2 h$N'@~j ,~w)E`Y Aiq}-'O]>l-1ajG)@wǴ-D@8e=ͪo"Lhe47`8.2/ |Lġ:/E38Kqa4s,n D"yTL?. Rk-F&erWMnLq,+#zO-s7P+ӎN2s9M3b&2L{U-;׎Uru3G6| *@~4D$5Bk rfz]T`V9&}$#B~lwn΋8Clc( ?$r͝y͛t"8yJ(H (-("SG0|Ht a/5`U^ӂ}8d?9j|%=n4%PJ20$yCG4 &h9xxLIq?#>vQ-SNvL03L>ź4cȑCdM2a+X5%$^YokxI懍t .BKЋ? d/45ؾnX<6IhV}n1oF6*Q.1M>a͞avUSwOI ]1<[F17e Ja0~ G/hqZMͰyݐ.t^ J\qҐ堓/c vc`r ]HȿP;UԐu$k󑵈ݍd영ݗ!eDq)9`A,prm4>lPaΊ}x5nf2(HPRhFRQ7(JC0y.vr+6ciWGnř#IaLVJ&ĮA!,Ơu/vJLhTgėD0j>%߲Ұ[He *؆kMRgNiS#siNO9wtYY>CX}1߁e &ŠiN23`Y؛F3J9jD| UaGL \Mnj2 Nc:uJV t=̔GW(*ѕ=6ˡ Iq(&dIdˑ eCP)&8!j|KкV69mO 6~?z&p#Z|ڞX`n+\0wBZCRflGKVޭtQh\j }Q2CL!b4#q\I( M؝"lK ( Ɏg;wd"pG_Ș:eY !LӀ+^nߜ= hRlL+gž>5q\!p4?P%U'7?2&!0KFfE8||% ÞN P\y}l}2'Ș☡=38n fLե»wzV1&,Xx*E_ώ*T u q4%#R-~",6ngZ A;D=,R2+*D/p[j2w"+H<:@{@}JAF&,8x\i niz'@r&u;ChvR40ߪv>?oGEuD`EL}֡2' mvOuq˔X%r1bФfX5aCʫ8bo5lxbaUlLVR`LgXp3yt' 8C`QlG b9Z/l횵hѣ&L0YLޭjrB"H"QwJfcRwc- G%dUz0L5۴^s<)4Bh+ǘ/ЌPn17hk*Ӆ,cE%j8|Nu -xR̹I`ޚ;koҒd!W1xnў{ЀW ؜iO%x QcpH?At%ghJFԁ"-@ɰ)8Y1k aYotCr6R_5dߴAE9?})Hk(Q5- R=S_֮b0'7<6L4Q+ &̚1f pVD]WCit@Fw>;S,(Al p3rjGFND^xLOW cY6幏^TI3I tn%.d!x" AA 3'X$Ee}5 Ly8T^O7`0 8Qr'\SI$5\.6K,炸.qezysi3h:CYiq 6}}29@R7`j le2T-d뷐G4S?c8U՛y|V{IQ[p1w/E'q|7tDxbW0=w2(tvdqv,xb] ("Q6YW"(O.Εب5>^#y1< *Df}v4)(j`$L-aO'P+ jM[ǘDVn[?.F{\ ~əj(S6Y,1¿] ƉK<~4|s |"u(3*W]ˑ:֯u20vˉuY^YS"0n%D"LІ-S'Uc'u'PLj^-[ކ2y17|3K}(1#2x %fT*"KrcyKypBo3cD>]^sn |L* 7)S-;Y:^Km@Nhgcs <*bb3b*f6aGAMlއÒVS?>q N S[ +iϥW, e!*f/'hpN+V3ݧYi囈%OT`~u鹒U-dE{hDzot\U ?ԗ2}/enf\frpPS2?c1c;[[9}UicjHs3҆d+ЃΝ&)iOTX|&OÆu[w*u_ %.Ъ˳QoL'Z+Zۀ,LY>}|X7fH4͈AZ?m5¥#7I|.&0^Q|54Z , (dŒpcm ɤv_H ju?0_Z%v5TDlʓd"2!| \knUۈP&Nk>y5qx.Ls=-9n̞z7H8G lFz+ExҔ$Jb7KcuAET&jF<~ҖyP]3ǘΦNݨ  Xv[9ϴ'EȂ}ݒd&Πlq:Ocx#S?|h< äN$T BlӞ 40gX#uȚAݣOUC6G3#MijxCaEHEg^ю;2Cއ*X ̿MIwnLhbyZ%8gfR4"thzFE+Pm?LfZH\)r&Z/ɺ'wl3%S[oH!S\"7} X|O^*X9%. %B_B]'2\]mveZ-pBv1N`<8&DTFd7'$KSL m %0rdV!֊ٶfR\ OnD&;9ˠgIbQBҜ/Fi2h8aS(Zj(1x*-w^2Lm13/s%uL;~8 uǞޓ%1ZD9|cM3T(/ z& :A?iNO}'h[\Yݛ~a3`.c{On_sXz;2CaUhgkeQ_.W&O,>]Fw"&CT ,4$NSB U3\ :OyoY_Pr1˫'"XpeiB^dd{~tq iB݌k }Khɑ׍K5Vv(0nTc kcF9J-VVElq!%pHa7sh(Ơߔֹq#h!-1󬁭|҅*B>c?;.B,Sz`$)u[{/ w0& r{gaZN8 }8gjSr/o**6K:XoeL8&bHCITqgh`$ݎ CQ!Q,Qhn`g#uNCA-3tL& 0y49ShNhEkZ-D-z $URgزu% 8 WDFV8-MĀ?a 籍4$,m&!aLva~b* H !OG&8נ1e?Nа%v#!,C6_.HVs.D+-n͉mP]FX"JcÖ$+Dy:Rr7DoX+*sԟU'T䩢=%G<aJ1} br"{R;2QFWX`m$40{6;mJ4ғO40j͑B^n *;Q1 %,"߱%4rg& ӻ>,JZH~ 19@5fehHr~x'7 QbT5|s\"Oeӥ@Pn[H?{4TQ/_}rluGNsxg+cM7b-_s.wsˉFJ +N8 zM_f{"*|Amc~$ET#TPm? 5M S;Lj:[3 Q &uw0ؽ:V!1qsJQN=f1>-9a/=3>٤(ĤpM.#&)U}fȂͻ'/[m[E3|GLS,iBS@fuU ?UVwCǍcȿtՖ-&W~;=,.rit#kvzs*~TVEV'`N:G@{\90zOI)G,p+bL'br^FFcNZh8XCGfBKǍvGf ag'2Ƕyn$ndۢ[+aWf/Z!;C"9D_Wl`Ds$)6\vu& 3>p>Ưl.͆RMG ܣ`u+U*_dsQux0/B8gvl;|A cEET?F@opʕM'α1ƂWY{NXe]ܶo4َ'm#LBZ*d&T [hFrN|9uA@cH^hB\E8⶘ک|l)1}E^Lj}9"EI4氉OfsI#?[Dz*0oM 6 8N5A#T@ajʜe5y?!Zg(nv?o1ޕRձn8 l ЋDH3"ESr=9=O&T߰G ,{͌ȹx=)Hd@Ѧ.<+aM( L gi4X".bg*FFxr~1Dblo!=*?e{E~sqhY }L}Y}{+bvdjTi_մ2caa6Ii? b'~_ٱfG;Rt%^eHHCj_qB??)^ݡb2& hR"&::qz1<0.6Ìu\ғ&BYJp*̺c!&`Bp\y!byȲkޒ;,(4xދMYδG$6q "&9ұ0i;r&O`֔@3s:ZԳw2xcl؎uH6_%(ElUd 8oL.)7x#cѶlgFl[˩|,%7 MeP7`QVw QǣG>%TH:ZX[Q(x(B78ųfNhrt|1q7csя<qB&#uЊ'?3Z8Z@&lf\av"y3ƶ~D7O> CMw=2RN( jna?CD(>y _Q5L~I!W&'uxLCKsJ4qtcG&,N.1kN5 CҖxfRlXKYxʨY_C8J%A̹hbns!8P&^{WFy_d1|~CW`0T[3S@-HT'-MdMT"o.ŐEro,1ؕU -7̐C=X7M!d cDGV%0uS ˝ahj^H9JSk-٪~٦8IJx7& q0V{Ƚ\#®9k\F(,j>pc ?{QS7}<hv]~Sq3dQq;6jwz/dbz@˅\Uu] nv4!M3cE\&V7ٌ Gy /|L@5y.ŒطxO q5A$OmbU~5__R-.~0GV'"na2Ÿ ؍گdE>V9TJ kq%pN☬u5!E!/&X&!}4& \sBYw 9HV싎<0"w VfPK!TN {wwl @W뒗yb+T+.\nej>,$ Ac?i/#+ωO ܏[9:/?U+=ڏ@պ'3;>!?W946y#QNycuLd9S|?y,U 1"!-i+GL_EX`^7 埕'M|blZ̃yC_,E>l6,fDѹx]5հ||>qOQ"4c=9^#2AGr^הcAz9zx3_Qyr8}}~iI{͔s[顥-eP ?oE=L|9yVfEs0nh /* /ōjv9hs ^di~o~#*W|wcey]nd%}݊QGreC*C]մiZ)PꏡGl=ܻpb0CF&~{ν"@=K-:sv\v0[VgNorU]>l󀩂 7;{GR"W}BKBr0$AdKuT*e|a)T(tmrX yӏKM2#2DžAAB(zW:zu A_=|QN9gК@G1"DQH=xڏ99oUn&`tD~s>qSH#π)!J-2;+ɒ :pКX:e B ,ď]cT|W"N;禯k>D$*m1|U5 NЯl[{#%q+ZWS$fj4_˱mhu($YLSXf`Ρ8-ފE,eV,'|D؁&$yt5$fthqŞ`%4OE$(L^]H^N+ SsO{v~3഻$GB4*6V;x| QRŋșt?Ŗwj!s㑷KJѩ=j0M:3`ʍ5f05+ ;)B;Ö#˩s֋HZ`'Od۹ÖR4Xfz~Kg2wۜ+sCc$.|d& $OZ. ,̳BIĠ gc.qDUK_Ua>| z0%;>*n'`-tBߍz]P$m(cmd4h98.9V^x}f:-Æڲp:Y!c&3fm"&#|i= Qp8.sBx7m^8iRCt!3ءyF&rۂVfC.bS"A G\JoP#C?0!8^wHFSJ/' Yw+8M;e%Pd96s%*,lWQ\{06+ tӳ0Z5PfƄLHȗRh :ED5W`^_ԍ%| r،L EN!_7q=; ڹB.|dGFi#1^o0c3 R <~mYDv <%EjȞQe&#QWvV޳1} =s)>^~a|q9'J3Pt ge!$@daбM-3Р{w0HA[֦M1i:WYЩJ 2Fj8'I;ˇACՎX Jy >0C3CfYP~F hAezuWD޲PD=<&"BKiAF7@p5eS=(H .ЉZ'fo5p%T+SLA~gsi$/ v>˄ CagiVb(*A'떇aW\g¥ޥV'@fFoe',؄9OK,Bޞnyn$( `+*&[uw&YM2bOHh7AjC:D0:,9g\Ö3 J &-LmtJ\"!Q_6*K8M*Jx|qn,"t; ` q$8fgvlcIR0ٿG  Ql˘m1١C1p(Gy'@ɑ"D":&" 3 xo5<૎Sc. I sLPQ{K)ˋ5YHފ66|5 Zmwo4s<-#ނm'NbD7%=po';Me]^ GLf` 6[[[ű!QB!U%.K4~c.Yt q #XVGeMP'vhEPL gVˑ~I;]ArSOE*^ N6%<$)ZC9(dn骞S(;a "hG,ةoZLn1ή.ZOVTTtPc=/rAá$q-X[sJ #Q#OÒVv}D f)1sWִ*[ش ܕf؊aTO2"$ CJdFVs[9X܄ڽxhm~BSv}_g3(,]L{SFARg$) 'zG6<|Z=noI.9Ŵ0ʇ|\t 1_W!2C}I"U0I0-{!HP1TW^&E;NIq=EHh#g-A0LI򟅦ÛІ]5)aM4a&Rȸ~ 4mwKјԍBi@cG`.XitԮ/fl#δq;4=§1+8L;f\ bVFJ6;CjV5㫋"qLk8*)6uf5UZP( RDwJF r!U g8)V>K~M'4di f$Aqk{s4.bdI&o@Cw1L$Nox^y!wK>R^EFD} IDYOb(ګgKl 6@DE#eTD[qfiŒ@Vkc9WPCׂ)͹,+)yECGI X>d6J l9*qcͨM!$/:pQ+^#S 5"W?!l"ۿ_wZp&dnY6BBLH7A4Ji2؂}G<!\WEim`HC/=4USLe4/U{Qa{qgmi#Ձ8-semGb eYI@+h[Gh&+,FH/Xh(# +&&06k\}4H:FkaŎQB x!ܲvι2OkziI=S8gdk,pŸػE 1Tc+DT p"p rL0_c% (1V7= Ty+LZG_;G-\JP4A1`vr f2i :)3\z {.(p?$#/9b fNro?Ɏ61n"v5kR[#d`qz0{>}um_ɀHL#Gq2b%Ť[ kR^F ė͌jF\!bbI"=Rb`uʑt'F盱i! lT5"zX&+Z|̷#q'f>9xuρsŶw#V0u8F̖:ۚbZئn1"4iI[+>L#C#Ñ9Vgc_3Q1TG`mK*'aG.v^čˠչIW%}2Nd3?]c{ǂ|" oY,w^2baA 'Y,p无F`'c19gSVn-P\؆BMFH5m%j*#,M8t( ЁfN0|3)Z/D-i]IMr@G945YJ>0Z95׸ ς;Q8NDLId( 0a x^ir˾.3.%IwpMH0j5&&RШFy,frFb2M,b ~rYf7NO,?HeG~lN%hK-+VgհvxvSa)L)y;2ժO,S\| /E:a(w ]KE21.1)*W?Fr$),dkLߜB5ܯn!0!ޙ|#b#`x47Usű}"_$lS2AD*91j8 <9iT\(I⹹8e`$JeRy,,1F|  }E 2 OY6||C$]}KTǪ):mOYE[x4e @GԞ-Ia gw"$\LNhep{ъJk&&óc% Q` $ef~;-a-ٺ Eo)AVO56[}g0<6bݾgurqء@\,L[En=G> #{jfcE"\ѐ}諉XJy0O0fj]S+;(G$J#Qf-﵃Zo ƯRM& LeQ;Wd*l,thm ܦyZgo" Q\=>cdiYl=::Vg>80ZF B<`( F lS˝>nH^AfI.%4Qlͧi!8y.}[!) ( -.)()6IyM׺ ytca n< o)=qvW$͓)mj* iOӚPR.-X+/hfH4**55_: :':Z>9PM .E?1gmm*KƹIAbDR`ZxurvEJ#տ8u<$7~{O4%VPPE5a{$ /U?Y_&0VyaMl1?@ɻ%R%eK a""پR&6ǿS}'%6Dew:7n.Lzd5,Wkj^M'׹,< 7fG7r85_iɬ0PCol }4wllL:.WU=1s l,HCX͐d$J1T,{='9pڴT,ds>/2i a^Ll1̔(nQ+"CT2&]N%1A@TL5w .oݖJ1!IM0SF-`e5}Ֆ]uDr(6nj))&Fbi.DD&S8t;+X! LΎPx.z0á/mJS6~VKq5ЂCkM*ER0_# 2'Hak~ %wԩ : 8X2lJͽbAC2ōf&Xf{aŋ5rx? 0gsS׮D{.D`na=G|)>̉ER)F%jK<{8f;qh~ aV% 2hYt5t& L jo!u<N+ΡmN*wo mɆjK_HXbIɇ6i22.AHMǒˆ$ &;9CwL7_8_ LRd'2U%ܳtL y#T'o迹ȼYc/Fr(?;jh#LCgtJ4d˔ v3 Z T݈u ^PX52Y*tF ?Kk|HAhHE'ݘ&zylSt^-/IpW1ȧ(JYH́s6}y9ef&Ѥezw-/j 2?UUKi6/~N!o+7 c)"|24 MfXՏTOa`/Ywl3!;F!#W쁬ˡp5}z# pK dSJ'6fI=礏?C "e h ,"TQ^x$Y_D!>q.gC#sJcʣ=܎/dl,g򘊘Xف.Ds,̮OTGdØⓛ}*ɥsɣ/bi C~)O QpZ=tА=ي'} }| 2ߙa3Nڟ Y  \瑢Ǫ>.?%j[rm!T1̬ζ! Rq|=%4I]hcQ.yP\і"`}f%AhYVLnu#JBA>{5@[ &1eTzS :-e 1V¾C5{i5'غq >Lmhp4 ԫQBsaC}Q='iP7&"tq"N ܿ$}Oz=D[q5Od"ƥ>0MGVIЈRZ Ԓ᫜ꞛT{VXR&=Fz c>S8]J.*hyt@ >.{Cg )>p$%?6,Ү˻f~J\+{̀8фҘ+jI;M[8 (g*0ɨQ2ǩ1rAFc;QXm6Y,I8$ƲVp,DXi3"Gb0&;G]hHY؜?ČF=sfV1Lsь}<hTK]jvMa aA]HOU_w՚CZXY7ji=[?4Dj^X2 A#w"ϸ5Sg( []3dX3'C)ǘPMY[gC0 SK pMfx;e36ku'ѕOUx+S|ʮYXjU31fa_ι:+F120G[-1pu)Us r7s_O0<d~+]Ɓ1T[ug ݊u[9f:e`˒,?nq,w/JL8OVQwbrB 221bR~ySrDhoVʟ64lȔ+#4m?>ZbZ.|`z!V!O_Uqݘ[Aɮ'X1s)&SIѠ6r+Bw {/`ЋԿG93nw(Y$͢j'4v²V%jI9%p05cA"t4/ޢMZG99'pNϷN[ K',_bu*EW,0 if cVR/hIhHfK\N )!LQ)WhL!>ҎXG=g3ù|t6d$>@N ~|14x1:?(2 I5EaA~aI]L-gr]U@91w0I6yU/޻q׶%InSݤ.Hb?Xȵ2iиcz Y6hiA8;w#Mi7'D؟&eQ9UP?lil`Q7Dq+ul(b,*;$)+SE^xvB:RzZfM(>Pc_~)~* g{O$:&݁7|2asR^ۑwQqOCaR9-SnbF-aNho"ttX]N&S*_MGDA*|Z=j{1D賐mfC^ 3.b H] ~j]\ˇHN%,DƸ}4Ex3):bh 3;DZbLoL"؄fX 3e:(Gj\EyL|R&'kmتca?DMG*mEE1U,d a|ͤ^g^*UQ5j\cqhG~:(sV)y^꺸 Xt`*Ÿ=S"hw=fZu#a0S-MI^3O 1խ@"JI|Ϡ%/DFtSL5&k H0cO2F~ QF̪nI4oRΐggM|2|UԇA$hL3 G9Z+pɊ=.{䭘I:dA͏PKq"-Ƴٙ'7H{8~;+']" BOoVZ#u{yYa6F|a3[yυGOe("&\#Y(:1:ni$IG >d0 %])'4ZS4mO ;7a&MЕDn@bP6_?Ď21ziz&Ks#Fst&19 C=xw!3}:Sܚ-͞Y (|@E9,RRh'.;+LJjK<e,ޓdF]Я췉RO:gADT(5Lz$Xh/)ngnYW<!Y#C,qj ԘKС&^N $A,0 Б.\O@W* i;H9Q0 >qE BEn8E p$P[;]DIԐDptM<)'C b7Juu)XU.%2l5(*j `_O Y >OȮ/(t5HJ np(j$oHޱ]5}5~) L&ʾqYvվ6)ZQOi8=zHs[:+d֘ HPϚĄŸ. '!E_3,8#n˶{Yio%`ǒ&4~0q,S`fCix qO&)uD%WʸtX "4'u\_,e{9KE 1>܎4 0[۹od^VN>#Α }_=G$y5 &LaZ*tVD|C~ :~=~SCk6S*nћx0հY! cX>b"2gJ#&>(=v ''UbuSWܑ n45^z3s5r+0X >~NaIi6ō 252@w?:Ȍu| J6-IC#viԄ K}2FJ ig?2cɯ.nzm|g!ϏZa{)]ch/':3os--LTc}C"HET]U%S\RGB,Ccpj ˸_I;bSb9 a&5cI&~z"/>Xԧs\;SP) hD;ԯLw|a~7j'RW3cu`v4l‡zb/t 8>˙M&,*uU.DyHP^_HiU79p{Cdݨj 5z,R^ڎN'Lݾa]RI c.C2MЪ-[́x !nGRO)b)/q72IV?g I/b*R #.%u0[WĒ+ gDj} 17jѝŕ>lJ(!k^TǸ&f&cYS .cVG@%Os{|/Ə+ґ&SK4 ^"E_ W<&zNQEj)sGȒ#]?'!{4Pg ۱޼^sd&WA׍K#\=;>.GYy и^;B1dȏ#9d9o'YT`dLMH33Zq|szluI2dl4K4~حBiE踣H]O| KF6idy{m|4ۛ?ۋR0ʓur֨G{s*R"T $֧?'&}HkQ\&; >_@ ZDP5BkK)RLjű9$pAB(^iZz[pWe4ЫG:)p |OI+Z*>{a9ʧ~3-ݹgTJVXQչz]\fcNtgOE$A`."[ƌ` <9<f9 "':\K>}aI IWR;OI!˔$4cN"E^b*”u) MK봘:4 ޾N샒R`hZFeO`cr&DrD˧=W6ZO A` 8; UDIW|+lTdgACIH0]W07"1#i\0[t9V-Fv&j@,m,'Mhm8e('aɠ]OHA, @&E@v.G~Q=U`bATf>5ipHKY\g2#uB2ܰYK>LRHFFəw=O}S.\(i}N9 .a?e58#LK_,SIY< l}XHX!uh(TRMDeH ` hL,)DVT-IuQAQ"U1F:d:8霒í:*qDmh7͗RE! &`F(f-4J sT#x^E&h=pIlFJeG`>K),C͎D}*'l H#_0Fl(DGʉ6L1۔q #J*Dr.FT{tG2m֕:Yhm^BM [\EaOx6'͒䴰R4S𻽡fn1؉4PT~^_L]=vQ D0;׮g;+hųŊ(w)~''\EaUG-hG <^3ŒYJMF xK2 ~ͿvWi#6ZKφ{e7:(љEkS UIe".|+ KebF+z=OTXH/Uk[Es)Rl ,%Y(tw:5^3%b3hJf%C%ay-5qd⛇ƞ ruśikچɢ'+Q**̶^tX.E|HoeKH1 {,g@` ?z:bhLaDM.\';h"haT03\ac,jJnߊa[BGFꋝB,5>xnjLizPZЀO?E֎ԱRuG_Ow,@ఇd3@* H9! W#6ϸ-5$!帵J pܷMHNRQ0_'z(<7j#И>JKrQUjqe4qcy3~4I Hi!>nݿZ1e#r99]Yw|{0{.R(#lWB=J[IX%WƑ?wЭ:YpV1%i'ɒصy(N`rjD)]{Dvthz[snʼ^x|d8JyG>Gә* DsQaÕAiE"r*<DZ(鷕o׷'˜jsk̉417k8=;Hx#sk&L]O9|Ѭe-xe75dKh%%xLu5J f88 h Yag]E[.n`Z+!^@>gz?2cOrcq Gy+tRm#}aGjM1 cM"6"r{HQJ0R>㪿Ǽ!F8,XU#fA.7mB"+ 6#@ߢ!/ qBz+ow[1@|:BkOR}XOˈh`=eW9ZR$$˜?ݨC;XKU2Ѹ3. y5$ޡTL^ca{+}Аhਝ^ l @"JiIȨ# ڰۦA[CxYu!4,/Q 508Yt:䗳skKhPS((FDPyK}ƅ"tFKYQvDve`ka7`RG)4rѲtKћx0uB`ZOV1HRnVTcGRTV34u+j>[ɇ =͕CD],0`I5(7r!lP5q' _S^fE ީxfaNBiTgd /,U m'a$gL=Aa6%jw.ې`FvOk|퓣,NadqSJuZ2wœ/"^2(YsCʘ;05q/]A!EBWEl EUO}BMĀGZH\ E.`$ s98!tE'G~`u" Ȳ^\a\exRuaƬ+5䢀;jSǂ(4B20XC<^&B 8C*~W_\BL .J)HD 7`0Z Oߔ^sG yU2C/햒q 蔓sRaܜp&翺2QGϬe)a1ɄTJ]nޫb)ЙyZ)zgI'J{KRī+!4&O‹FT}k)Sq#0G|ձYgB)֢5]"1gGB<@CFSܝ#tyOy!O(6yOLT#4 iM`s"brc}JE,'2ϚՉt.M~EK@)FӔnu<ì^=tx?%*6GO$ؓ-?ͭ}郌z\"tAq+&(cVKx 1 0<vy$gk BFs:ZkL3DWyJEh0qV!)LI4՟U6 )Ā4"Y(HH,JHZRq dhL)H"&wӞޗW}9dNn\^x|5LdPQ'L) )NOrX:)cCrKd"4UcTy@WF(=[KQ H9.w!eC"J$5kY6rچhը\`N1,5@Ч549;iJ-Q<2x3Cpf΂dƶLXyVsGPlscbDlz11Ž(q~JW!eȖ  ,ÌzΟ\ʎ!; BE[8ef hhh>4pJg%EzFR!Ȳ QPV;4TRX}VBݐZqMg"/0G"PȬq\ F,d1VMP0.{Կ%Q8猒-.$YQp+$˻6|R p 9 `IHd`pD4Ua:Sg x)IY\&ە 4uB7 ޱɚ+BfsdKt#Ɲa}"*s\^/#VHrQ7!O@v3'/p"EpqDfXk\ bfٴ5sp("B0)5)I-#\$sRj{[\Sm.;i) “:Ӻ&!a B!y=˳=]y>q;>v :A֬5QuYm4]L{)˘õ)5Ƣl,CSZnT|}o;42}>,t6NCa7Pu~X"KLd4P#Ȳg7lHSʜ*=!OXO`Iw3WG[%$HAt'9-tnC 0)=b[&c6b SD(h @wl`Ɔ>i;g0w29P\Xrj.MDỽC*s QŖ|{5%Xb|Q/\ʾ*B޻⧆ IJx;QhOi%{˵q9Y6# e0fn!Y>cGEb,OHs0z~'L^S DKKBkKTfId{Fܜg[¾{c`Ew&hB*55{3(f~e&19.Oƚs{ӣ}saC!BSXaip/^Kor6cVO~UʤGuscQͰSllPݐX?cJ0 `ڊYӓՄ"=^b}SrS-66zyaͨqTPrz 0AUJxf1.!`t_bQ9eQrQK՗lݯؓkD!G'!ȡ!Q0Cb:~5~"kpjLĠqPC m_ژyޱndd"XlShb6iXNO2Ah.ȯ`d5HB_$854&`mLjr;ՑX7d|*k4A+x^H"ouZLe:ix;BC.Jq9'm'T cɴ7WF8p‹)҅ԳN&"rjڡʒ|3$ɥ5(s} șpxtFWh-f0 y8%/jLdz>Q2DA*2w B jC<0~Sٶ)>*n@&SMZ%Re"I'~EJ u%̌\`p G|\l.PAQu"PFJ0hj&Pcp)R_QY IXSN ;#I0?RwZ#M?aV0e;;2\kny͹`.Zd1bIs|uU㶽h1!4C#eDЊ)ň)G9\ \Zlqi &,նpnݳIr6+rc,clV,`ƐE&R 0#HAcv F6v7R?X7vt^Ƃ=4 gtņ!}`tzS[ji %~Qfa-.!/-VS<$QcIwY?CD 0HG{$ؼ`xpq|QghՍcJb6>_^W f-nK'$twoFw6` 3~WE9/怀s]'}ݥ;?:]YRN/HCV_.r:m48 00N+8HYyh:~HL8tFs.6s?I26nϞpid峹ǣ:0c}ydӪ(֟З;`Ô]"I$j)ISE'rމW,G fRja-q[3Q؛(&.zYq-ØXb-RL4GwI\)Å- K0UlMתMqי/9v ;AÀ{(<tj5PFSs}1~|᛬LM0CYKA[ˈkM+GFvgPcJ<1EąHZa^3$qN5x}'= !4&Y!X,)lmd< Q&*,#x0d{Ya#i 8Yq&z 9ʾ?$J+- _EJ|SQ]nK)+EL"*h(DEB!~dlcoPf,ٳA~q}CG;ݢ¼;kgS[ cH>H{r6|Aˈ`<o e;si]Ōp1Fxē뼏^L<&@]fb1epddULr<1jKA<[ 9.Dd3r~J"&$~#dv$JByZ$bUNp>`*:\x3]oUy'/đ+fC vI>5 PjOQ,} >;=Ph'4˔:z8|2 LaF)ǛBƦrsE 2GaMPO//x2, 6P B1$v !́Z8lFlRVWP -eGr'*Mj(ȴ1!#ގ$ cǛeTh#EdŁpy ";LG!٢֒衳Oy>0 -'s^ %}(H"4!CF4bI LriАR2%93сs@%K}š 1(z#KKr)%ElmH{{hܻf+_|ࠣ (Q !ʐ(BŊ@lLߴK ̤H"{3bv'?F[=XϬu. J94Emco])^_3a. ` Ci?} S:^Tǐd8*QI,!0cV b!̔Z֌̥;a3KC""8&`;'ryw8B:דqGF[_9L+^"/qyJG6jVbihB"O>H[9=sp&έr5Y G#pe1[r$Ӳ.*҆%uRrwa9ܿE?pya9⽐F!h )Ts`L0a(u1GC]p8۲]F ˈKH4-f[λlSXNh12FH1o]b!vgop&jqОPb$adFd/ģ;uFjf^9a5 葁òlωgnN{'h:sH NP/*O Rڷ |QLZʏ`%"D $]h$aԤ%441ɐ j:òIJBQ?ǵ#HwD$-S6'񺨬:jl]X +g S.d E1dDV]ѹ/Uq#_#w`N5vmI jw?FbA:фԨ'dН $=FCHɷQ f˺&wV Te`aX#h(̕wb[>[2 VDA  D3l=Z ,>$XM1kȌ9dBL-?(9Q+V.lɠƧ&ECKxȲv|,O쏓ЖXd95C}Z l+46տ 23˨e0GfQ$)A6Y3κaK7ǰQ9Ξj}I4+dobX !|LCVPX+0MULI[%\鐲cE1T;LH2^׋ *2#DM5&EOJeaY[jNv6BufрQQ:Dr%u!GR`תBf1pQ&:>AN,}RNC#03Gt#VsP9ӒF`Ũ#pC;. XiTܔ\t :hg ދ G oknR$ MθEȔ 9?.F7aٴb P楲F v*kc;3`x' 8iHDRyB-mwU 1Dݸzg޺|NiJ@ȸ3NM6Uqg86,v21ő-b8š #=6`k݌cJX]c!,mLbF/K8Nϰe!L HdwqpxbrZ21\aXbLQƐ 10cT=M9G ݱt dpxu0Wa4;6~;߂5s) 0@   5d b  uM!Ŏ9@ ۶=@t(E;P9h;ѸCiڴ83 s 14а&p|NXiMsNK:Pꆘxc?r&w[v{q H7h 3@q.|K|ά)Y^0$x+ì9O&J/wGKLmn$ޒj'?jAl@"6u97ߧ؍q<;=Y؇Tn~[H*Ԍ2M[ 4dcr''N0Xw( IKz1gDKtr3GS{r PN/ 8EnZο{UtKDYz!tVLdLω!Bj) J)V%J0HOGq‡3a7V9cdzxE:m #nE_\VA^4)pdF8ccF#tڱnjёG T;Ϙ//(U@R1"9EK@!gp:$=MrHZO`uQ{GcBs_ge/]̴!+"h"Ӵ[5Txai92S6D.+c|GiHZM*DK2øj)#\qW1F<;”=ݹ#(ďk( ՛Qe@N Hs:cp,`ilz"W~=R# O]4ݼ1%,]/`͐00F<|gn~U~4y+ WRSDgN@(jn(,g %KYefnޛ!A+9v4YQK̇9 iRwF̖`K78œLΖZaK ͻ/݊iJI5hր{%Lٳv;^qQpgLYGc0{#Q Em8.9"γ_:=&^RVkCWqv x?thʋani.ED zxE1F! vSzf͢2ÔHC{c4q1GK] 25k䮑АPW4"Ҝ(&`|O9&d:p5l ePV=NfG5IavLlS2~>ByV4+ STe:7؏Tۓf8&yCM,RzTfXSѓ*K̎8nc%fsdZ (=cZ$f.W 3`67ePM({]ڇ(BıƋQl,)[ EtQ^jij2yѝ^ŮA6FIT)(YbL'eg0kDa2xk졜A,Mi9"oMMz3$' 1d_[$k}cr)yy.%ʳ+Y-|}lQ'k/jld ҷwe?lv{M>J >.ZNWLOM/)K͔# )*|q hY3/D `ۓQYJ+aQ7Y2v9ƹs9YR;{aD1*dN,/p;z4~;6ܸNy˩.M#Sg:…fX_9ܖ ͸s??e x+MxP 9g=CK)L+dA*LAnHp8 F5Ò=3(a#NYijQ,|ȤcH0쓚B,۷ Hufcs8w^\h<_ ,rrSX>P":F-rD"0mWbgqAP{Vq&Ε eOJE p! kGݲ!qtO\aj8ІlƉ 6n;%ƨ]Qcs*S˩Iܼቬ0Q~"6_s=Qde7mSPjWrN 0=$!-z/;4<$PkgsYU$>K2YslHt.CG>IO?erK2.hDWKpjɹ= 8%x]Ưo9yDF%83EdlbmMb0{:DASΑ!q;KSႫ0,)qћVWĔSY'W7ʙ7 cnYШ=?;VE6CDU>p\Nݰ[L6 ѣrUлrqpحɉ%éFS5% @fpd\]F~tbEh SH!X><Q]G q!Qy']9)op| Z1x^.Cy?vHerAs;zwI,IhuJI/D=ldR1-V)I MIPW=aE"Hk+,RF܍4o:ؤ?]#&0si ԚyU2b1Fݲ8dLiڋpƭ?')CPz0rg^i|8 ?BKLʠ ,j4khLfdn\`nE~(>IFۇ1GI=0ιg;rF2]Τ1n6 ҐuyF݊XhЙg]v ַEg)^awҭw=ģ=LJR]IƴYU1PZVv ~%,UZ:|ݧz S28u͹F6AVSP04p}HT&4CDŽA:'#Hj}8390|bE9B8gS;j 32܋$%2F6*N(4N[q|F㢎~$dQymS T9Р}VEDxowQuLScɔG$Gt>TYBq40NkvJG$ݝgEfʻCۨ/u%@Q ( LOU9?=! o{Bc@ Qbx` !AOTB)Hp U Fh"*Άq%"6a(-"QsqS1؉<,p]H@@uOuypGID @E |`SȌP+A|@5 $쳡 pFcaD?!@W۠%z1B|c=0UH&LZ%"3rw[sL}2F:Qc6v)$F6;IXF8J.= r I`׍,{ߎqD#멌X8b%o9ִF`G 9Ѩi JG!I~OטAU E^WX^{8zV/E! +W88b@U `Fyž@fNԗ\b.MX,Xm5c5GdTH>{Q k55lX2F2pɈ~bZk !(X"eXQTvZ<Uj Sv#f|}DMv>vO=6m eGPY<ȢC+'nfܑ, k(%0r,h/&Eb?]jap F G i>^D_˪`܃Ş~zbB& +.8}2":nqiL=E "WTSM9*-U, Hw2 krCؔe9Na NǬ 01H5) %:J{ n{;=bPy<֡~ Q(=p累" ͅYH&6[].uqt Ǖ.40rC2FVGBdF0Jm\'؜(pQ%Nu9~/v͐P4#}:1#6e^_:8r1$Fѐ [Fp'jJna&t}.CG)pt1BK'MOhO աb8a'uIB<"u%mVD(EbXTcJRE ~hXs& 'pqzda$K0hT{ٍ1@|KsEp xlBdXThƯAY0R\O5Dv_K崄kFvIh8ڼ9 7Z-c5N*+ ic%|Y? Ih~86pHES "~jwnȝ}^G=N44Yp01Ghd[͎?w|7w?\эĖ] IUzj~rʳ\Y% e˞x=|3!Hv$W 91h4Zp62?eYTŽ1,f2d8Al  (1ig_Pcz%J+lɂmU9{Rh1hVLc " W]<&Q@Mk I$;Hf~qvVb!$MҒD6#d5B& ΍o0%jmT ei$@ l-w\Y )aO,[[LF2ڦoQoEyc+1e2ب )~ gxb >0gNFXOONEft$BuGAP*q!#Q F]NZޑZsI3 $&&z J#F9QjJ"K_7n|*%Py Ho8K:U$0P»bI,w0a-%,4>̉LE5އ4ّ6) 7d &/mO4I|'3X7%lq_s]Xo ۠3L3wHr","l?,],7ěl/;uV2n/QND=0&)Ty?=B3Thѕ3DmU݄2"vG9"j L. *DbM1S$C.EHElQ f<r(U".1˕qh*VHޔX|ڟ˗kzIv Y0Tӯ\yeojTw ޝbR%m9>_c: 3t>;c@?" y"$J>=XMx6$Q@NQf9bC% UU",)H/fY11ڔPrH*GꨝyRhtھLI4Q wBhQZfˍf30#ق|EU2}`dŋKb]Zд a8(cX Fy&`}Ǯ s'ULΪ7;)E Fq-(+*ʪiY`cZ3- ϚBnL͜((slLY$x(gV (zkC SH]:)OL)Ԅ|ky9 7D1q`fg ӼW4e0 zӱ3Rfv0(%nK'Ɔ=7f  oQ$JH1/Up6r"\͞(x[=ο'윱qw+/oR3"~N.@d^݌rj dKqhgT1#-kg9y2Ftd=t̩J=qp0m 0>×(a/ɝ1 *}\r0lKBNӛZJQ=':CrYKQ]R@/fY*z,q4ke[p lJ&tve>lN&'6?&VAu c\B,D{ub;rVdQ #  d$}p_wA2nVbX4f1 8GrԞ~mh>\&yleD_.蕏nn]7"ś4.($ryZ;g@gzryi>?=/ )dZ)*.J,|ՌM?G#;Uь XugؙԷ2gUm <.&mpޏiI}'sWGq;rEY&??]3G1Ny:*TJ*)2zyluqkR2Gӵ7qQi:Q9В OEC vα:df}TZw pϙfK?+!u+X𢫺xp1٫]KϷ4))|q)P97$q,6nc2.c[@yc>_%-ȑOH#C~Vw%UJq(3^tO| /S\ϹpɃȷ3#QIR@T6k?Usئz-dWX>6Q !Xm. Pɦ\i aJL !7f@]rzowYX0U' NժX r"ZZrD=4'VZ=Į0^w@^ &~qdܗ12Brwn8Mh.Dk0tU+-ɗk5CG27dn+Ech%~wB4N?@6P|_K* '$e #2/Rj܎L4--xGD Y^rIR℅Hj O#Gd@s L++FcU$XCLb̳$R%D|7c$okT,Ԓs#+cU+ǓhOCsC3f*n_ˆ݊;h'`v>Nl@Õ[Y; <..`30\R$l ֽܷ)Y<{{cBDѤ"1˶i%̈́B{0o0*E{.g(T䮍([ͺprg:>&0:`|P()c~Hnfí.4 XIeRVywͳ6TsG-6@Rn;Aԟ-&4F݊TeMd ZVc1I% .?9[%^s(C:ۊB sx1k(C v80L,0t;AW p pѝ_nuߏ83)ԝeD~;1'tHbzUj A2ie8s]x3Dd_!N ^#̨PCC|jC߂xSQ!TUKGF_Il*G/swIX~zG>;?َM$Ck@ 6F{xt#% 'Ks[}mQbnY@s~^f.Mm0 d>=Sr@ lL8쫀"xi )'yoq?ݰ,j ga,+R4q"Od{oA2ڄ̮{`-H%?9o=Ed=GNX6Ep܈ģzփXkHR D{g!Gnh~t_$z!KGn7尘v''J'ۄM5"fhIr՗|`Ǽ:4C+$pȗ==c@iLy|Mwm\-:wX*alE{7LEɵ&O'ͳ1(¾J.=*B:IhkC)d@{%[4?1$F-X}oA b0N2ݕk)Ad:AO^-ݤ)@yL6-*ɒA@?iB8 JvM:i}*@ ı A/:7>ugh{3l֮iaY #c⦧΄Hh#XƋ/ !7X[i*B+a-y{9N NjL!.Q1W(Y /gsT !OSxsrjim`2Ʌ'XC9[%9Kc e3Д7-Fmw=Qnʶ0g!Ii2IZo1ɸ7rXro7юVdɨa 5y^-hE@7y=NN'8`ߠcz#ϋ >{NVM?ߊ8G0>q %Kdy≣ 2$UiMv.s2WI6pG^fw9[gPTjm 2Е <1h8X [#T 4i} s)4HyUbH- ʁn$ɿ'7׬EߔO qM6P)%"ЬL#:&;ICg92`Q4b !|tz3GtG9b֙ᔊhz~/y W=*:7g%,+tf9w[o?٘)'6QU{jy[FvN%α[2yc-|uP<r_>x1y6-Tq ̼-K%;2) %F(c:}eE>6jf9 ÿX+tkF7ŵ}<ͣjY4urR};i1%ؠFJڨ&-LcזhL)K&j;cwDxl.7=W])5O,/R 1eJʸ,fޥKqr'wvg=1O6*R=v weibv)\A F?3FVz`Teؕ`R8Gݏ:iHy.EGb⚁-En \N<gk/Tq&,%hADAHf,.w⑜d;4+hD"\g/Gv)z=/5ҟ-"]E\sb6'd0Z/I"J%'MwTm.9˩4vsw޻l٣Fšۗ߯KvOb@XnMX,ГӜD<eJ=JO* &.YH `6:ŕ)mz>Ht:3"#vQd &&jq7KDZyz pI5㑲c )ʫb>BWU[D ,Y7=[,pMR0^ M9,9*ţRQ;hw[}j 2R`K/ h&zd^Nk[r8r;&c]SQݒl Fq;<6/H)m*F?HDK.KU*#K-YWjz.$45|;woJWfo3'+~Jd}1П92 VV"?:fVG8(1+./?X65cQZzE}8ѧ4ۂie}reⱛ;&eYAzNJUD1)tR={9gRC BC-$mOMGI`)я'L{gH 骋[NnXH2 q/:[LpF.X ,y>y; sOƊ;1ƟI*dGUj5;l-JiѸ7R.R4J+%? IěOT߬MA'TUⷪ͜1$@z*\u.ɸC4"zw!O;$ QoHז:t%<oiSAaYJH->:de#.#*8K&eA7AG'j,\d@xWQ_r9T=DFl(ˎ c;)JR)*LwN&;$}4QtjڜC)L1p/笌d I E1L^'9[gRjwua8E߂6q w63ɒ/?q5Lp邀] Qe,֯:jBz+.L5}8!pڍ3-Ŷт( hKrzUU"Z={x3L3qxPT,DФ} #Ғ$J:,E.="!T}?͟a@l+aN G3! IED ה~RWz%pVN_"`THQ~^6GDe3:+UЉ5xAR<!R5> %bxqBqa7p!Z2 >[sxQQp7Ȍ0܊֓-{~U C?DRLHvTNq,Cs~`GE=Cc'ȉGh+$O5 DiTߢ?H6Weȥ4o9kҌ8[=դ8s-jNѯ֨O+ș$&H+&Lދ;ZxZ$EV4pZϥkANb~aG'`F/eɏ m< OA7ċ%< LX+%㈹G4Q 2Swj}A$XGrFȌᆶ لb-QE0ӌT!R/7eZF=Y &@q^ެu8+tx2 q05JvocוJS&L|KЬPPW"|7F+ib}{(#H+_=.pHTIqx^݅&xtЭ]Ee4 ra/HQu8^gEC=g8"dGsAI6>qItz`@OƎ^8#DrlKѧ-DD(+G9`UTPB{r1$;ydx"vD=<񇵡pA?FE A|(B = ;'sнhA YԐ~p e x N ĈƂ`*CT@MCg;WB' ˿@_ [=8 _A Bm ybugx(BGO?;ϋ(PlH8h Aܠ9H/*Yý@i>< @C w,!A͸>7X?ux;Q4/;8! 'N:(9nt)zS`= y(N@H2n@H!qwfOp@(dAg(MS,?@t%C  "Y+Pس,k6?V~ȀhraAא>?GUՁih5ekQP`c$xzɏ+`E[ cE+rJ'bUbB]])5:htM8>@QEJ[C ƙGlq>u7f+z0;9s~klL 'f. }s9 |ʰ0Si0pR&`P>N,`PcI4$~)h[CЌ&P1H"PShL;ia THt~.r? i:`k 㬙(>[4 ,Q3'Rȴx*;]AN%Aˠ.BT@'_B}D”꛹Sv(x?%CPT _M GóVsBQ˧ Z4-) OݝaP=ő_t1}EQ3^!Zc-8O:ZTIb?,C]rb~I{:wpWm?i1@d)) ^Z;.kG5v?F8M4r~Y{fTZJWHC=YdZ(g~#Fo{JJ|H-HPg(l-dЕ1'\zP,S 0d-._8TlϫIj+h;h`zOx!`Bi@nfs:~Ԛ+("XY0G HuqTKfWo%ycǔW8%n\Y<"/&x\ϭU;GƩe6jNËoQJ}e3҅OV7Z# =3wVѝCm@<8 gx4"4~2$G7R>A0?ӣ= }v>9L~WcȔ_>.,&^W-D"@lFBAȷe>1".d@LL%1eC%P.+ՖR?Rq@Dq"dZةNM Oň7Jk!&EdpN8؞|yۦ >SJi|* ZZJYF$BQ(ȠODlF5iz@$Žaa~LB+1B6g`nKe 'y TM%!l]QfM%#~ bDo$ߛ1:8IZH U׮J""@]c.(= X*OG~u9a= x EdEgTn>#J qʏXM 8D,EpJ Jut[QϒHn4ATn/ u|Ku=?KܲWܮEB fhOM`hK.VwBBKb (67ѥejhHvEFs, Aȝ,jUyѽ; s%F?nk-'1*8z؉}lbB|2'T9 s="IYY,Q-N{][ެ H`ZBtn@h@X-<0 T1AXJXQR7*ǁqϴ!(h&eQdIoM3O (F1N ςmM#ī 3^y"z2^'@D7c>nDOhQu'X\^(zΘ{S8hxOpƼ[nS;Q\LH|nˏO2ФyLYV1М!NÑ9G \ :u%RjA|CZ&J ,ΘBR`Y-<b8a*yS<DݒFB*UvFG4Ϝ[ÏHa CLRM ;:[|(q #4F\ g.&=;_嫐՞K{#КxXZ7#|t5UTq5G'2O}+یk.u:6[85Bf=ĝ\ )g G̿pА|E0SXr_ _rHq(Nq?9sJ]vcYh2a'6HÚ>E@ϱHTvԇ8T ,, B<@q蛗K+ HǬЭؓJgcl\ X0"Hj>y1ewbI" q w (Ў@=p6ZJH K1C1l_$Bi/v Lf_8{sͦ<:?47epl$DUIFQ1=T1m9#).7VKgx MaV%%ufp2 OQޯ]5=o7R8GZ}C^NDwX,\ớLpUZA Ų-Oʅ z`WFk԰x Y%[!HTHH[$Ng ]H{k('+D/OL}* #j!J"61F%in?؞sIimAzM$Z~Dję(z٦;7-fԬAP4KAї0le|bE}vIĉ'Z8*J1Ḿo# "ƜrM5*c`3;su#gFxbJ"y0Eѿ/ZD z7La. &s43@7:P`^/>zF*מķk;&Ufk"ɂ:d%em0f+*'Jv9*gŠHc^ǃT0\*=pW,}Ƕf^N6~ԟ[wXly?&m m/Z`A j)f 09Y?F̲i.pk;>q~ak1LE|.*0!e`G,NzFE(%.#co # ">W0GC!nz% DdÈR+[Kсa($ܡW:&!)J';\ҨP>̔!E'DҰ@P9D(J""q z=սa0HWB_)q#|V Rm5nN&0݋D1(Ggά{{ i 18I* =G;)ejcsvS4K90Y<*vd$>.}KxLɑ/p$>*O-K6Yr)pR#ӟau[kq˱]pN SJ䈯' xA~P@P& ]N&?.W:xXg)zrEݚhP?p&ڕ0æ =xkIg8:3}pJ7x4"TsPҡ2)3'}vPC?rO2+$,A4"O:sa2rW*&xIQvb$賍q֬f5VqQW_Op5^m|_!v٪D> *ή 55%e;Ah:3^y!? /GOBq^BH3/dq2j?K VPXnEFDxtWvG^ ddYE * $sUɝC)Ӕlܟ+c. SДQ%|T;1C⑺ .%T5[Ak-Ќ Ml ?#Q"<+hzx6o x^s6y8C kFzdu+'lFz"Dfۓ*EZ$Ea5 ۻ_-.oU*"إ"XHbS tҙߌ1OGrh.Q6Uf'{>c[6t;;qZ,.Jtc f)GbOIw鎑KdddxRB4dv5'rwX>T((lfv l).> r#aYT]nC {BoD4R0 anŭ ǒgA$EM[¾0q L'FפO|[ݐ hjVk|v9 &nư% Ap[׊#G :Cǿ8DW6)ٖE"ʘm9VKD+%,[=3L,3 C^y: AQazo٤> 58ρ!L2Fq!] qv0%Ļvbb m~w779L %A(SR/UL:WMd%W,܍-X#ibX 5⌻x37 9=h$T 2ux,Ǩq1%ifuN* CPFpn~T۶ wj zx b vp)#41 yA 'j Jb7̱Aq(+e? SNhL<49F{#wN~#, {c( id[ V V20TĢCCcZ+ѣo]F`BҁeD>#PTsYIA"WDP50-eedG1LN(C*8*Ce1!V+vJG "!o"J Dvy3Ed 9EZ}t}ɫ@J{2I4O J.2dyQ2ح LE)2&xE?8/9,Q ᯋOHcaW5ZtS11|3FE4iR]֔FH, p3¡S)E"_!1deXsMزnUdt3AYXf̖!FP}Y -Ԉ)B P^ZbNGD ;D,2|=BҦi~I'niJ&lo`p0,m-iBf̉29N:wh$=B+ ؈D`ё؅Se0J4:3)7c'_aп__/S4b2ԸD$zUo(&mʈ#y$t/{Xřa^<[G݋"!oRMb"R7ccfbiм.@uc=e'j\ջ,'sDؾzSɹ2xIx ɋ Iםsɡ6 |Bd;-Txg0=%6LG! ?y dq ("0yi}XᲂDP o0]J~{-h2ᵎ*C bKʕdc;-#yp ) `<׻;(6G2EhY1Du)oq%(A)֋Ix%*y&4Ŕ#h& Y% plDDL_5SZ9F0!'6UgqO#c?Et`c;v#R Ai:}Y&ܼls*tge/WLNj3Ț1! Ff͢A^-SJBNr8͟lH}ULTkgTa9YV0`)`.nt z\odvң?vy9i*_bQV6'Ds!E!;ImZL_0p gZp֙{(`n мԥ&L#ТjJĒy$5{iGGilŚHf1%hVl*7CY/Fk'8\29~ ir-4JUQԠCsK$FѨ:s o*<,g>;"';=z  1bV450:"<1 l?mԎi]2$B@lurL,)ʣ|c֔|ϼ֎6v8ѲMB?sdda(^!fϻM1baPp"9mʞY?ssC9{Y-eZnK=oZzg+eW#'Z=w1 ~^vH4h^3 <1Y h9&œ% uI=1n>g'7 A '4M>X`Sǒh_>{X0oqQ]8[AN0!4YwP3~)vJz&?*צ[C^Bч`c3y,-T(`(1 "G ᠌uI(Cf4 0*/P' fAT9:CpsbKfDxVb@ىw1UTc%7aul;B4eq./oTHƣ?bANLn>fYۈ?b<ޑ+ELZd{2*s-xfE`}3U-(JT?YȌGVM@i2p?0ܖZ7X3viJ\~:oJt LǪ ֒G hm:#5i+ƬyTmgp^=ƐjƳٺ. [/swR<Պék$;:bY+c}i=ӻ|N~Ζos[!PŁe!mUg|i(Rr{Q~-U./a쪹W"a/P:'pd|ˆTÜ&57̖v+E).gDS]ιc* /by*lEP$lP=rUs+e0e۔>kR6vӱ\46]}Z"vS!7Dq}3#ğ3H8ZRON4RQͻÀFo1"' %GbTľӲDdVJ"%q3c05'[̌L هSi:7_wv 3(U 7ف?A_BHsz4@ZyF2i]9^촠 ʗ,_8޼hUV:mLjz?eɗ}y _SijH*Q#?Jѵ;jD㝡Y HRN1$YSGvG BlLZ¨KX22NHR6.Ħ3RKg-B@GDt~LY qNa7vUtZہ.#^@ҋ\-e))0QU%pD#Y?UCQ `K=FT'>i FSIı?+}K9%%N Vcu)G<J}ƈ &iw4IM4уA~:2;'h6%9LJ*L)+dDl t[Gn*<= dOllɬCN~Jb[`973X/cvZڈy1%jfNlmrKFBm֞pwiY?B{HLʹ~ +`ݥdX3RM9zaJ5|4lR"쏞DR^ppsyhKv}(w.[62bM}9j 7[:F2ӫB1[šQ! W)a2((gg%'8m7j:φÕ@=Dh3+MQ͌/84.[ ?s2dQp|D=UJ^`gSP(C7w%^Wo[TǭsN}j?b j"L uŸT-SJ # B0J%٧;X1 ėCJ!!H#,XaP>LwՔP*0k6L/ ُp||,Lqcl(cϺgsh!զ@hŎɍ?3 ͭ%GcSp?Dq>g14 -SidAd~WdґMƕ8bdǍ"8yF~qyjnQ"Z;֠+ -w 𢃇IFu /{wHmHuD}w!5u[z$a'b݁1ȇGHbR/ʅ+q.~D`\JBYkZ!.wkűh` yk_*(~\OD.V#>)^jׁ ¶vaWyR1 4i.DZ%svBL[lDk/]gN3L(B83VD a\XQCAq▅{Mߧɇ(iU,ܘ\Ó鏆d}oNwDHx$/?ZI{"( tKGz.C/CmLi2W M1+/H=s1fx~wd,d+O= + ^>YK'r#HQI`<`cQՊar=a0X]QU2juwYGoq,~#-Ho 김o ݫBWcsHb<'a_66 ]/1 U3cj9tI^E#`}^)ٲ2Nel昿s:Yx>UZs`S΋dg8.ROŨLi1pRs?AkzUp^!̳]n2h'b2=uu3}JV`yƏɓ%VYpmC+٘B<)ӤfH/WBsDA gQ:7횐Pןc /b$,*v?k7Ȟ=>MK{1(Sb~b4A}Q?= EFdMiTc_׻3%HzI)W$ 0>R[517Iٍ?ݚW UgVU R{*q眿*8*;s E`HB FNezI+N-J2"J|-#8)8XW,ծ#&ZZdvla(ʻ9p24U(/ X'ǾCٜь gm,PQaD1E{pӅ 3>šrU/”5daf;/ Ķ{8Lͻ2p}NL, ]]MfN6ubWyE,+FQen1+![((=H̪7 rd{9o)͑) iM,7& d 3q!?J\US.CP*~MpՏ$ m=JsP]G8.N(\W`sK äʗ!<$bs>pMa֦SI˄F90B*f0}m┼K| K,ԃ]wd"Ij(V A,f7  aBƚdLaѓΙ8y9}D}/t7 ȅ4ǑP!ju ~y0gyc _eQtXB,ý̎m(-kgVfa zr/iĘ!1lg$}-iaM!ljgX*"2'*xc'p7zĐ]Ds,NEr:^c-r賠z akmk\7Md싉7^#GEy㼼d gA2N <2ʓaIBNJ~B+<)I(OqJuqLy"{Q͑4!U 0 p@iG[E)A$Nk$K0w!@"<=A͉Q``6,ϩVKp*|SDpHy"6"?3 PLKԥ#Z-KX bٴ!a|mPz\sSS͆)0&>A3 a#Fv% 98) S1"pT+ ;a̋qosp2EW"Ǐ`}%Q IlŘǃxBgӟw&lUYm)Ba4iJvT?t9pJԨ ;aUPSg-&gf_3/+;.C$Q1%A͋ D]"CZ 6q, p!Yk +-i}8!F&24ı]͖ VƒA"R#AY5mFS!,wq{=w{L1 FtOk+L|2]rsyhbv+,#~@1~4Y,JBad#ڱT*$2tbK\ad se PT|d~%8[Y5A_L8ŋ\1#`oNQ^9b44>aw)t aseK'] ȳ2fbٟߴI\?%I¹{M9S<RXKmY _م/H4 ln'f3|-vkL!}'>$p<|vd]8wCp2\v[-.Ka]4TQ[α5B`adq/KEY3pђRu%"1/JjcYHbn);-6k0p'Չ/x 9H|/"#oXb!pU|Ejx# KD?. TH1')j(7xk):ER JOJ#9@18$Q3bmJqJmÉ Tf, YR}L[9b,lx_1-3kL95a(xfYDp\`ztICϒK6$q-a H[i7+4O hۘs1$לX R[,pmq2 ??sUaIgb.+7 fT6Ц]:'`ĕJ>X.]$& VK'.9~i oo7Kgxu(q&mLD)tT2^dע݊0^zp$L ؚa+Y;1Z1Kx_~Ω{BQp˱/C;Osxh3$m A>H܇07u9[mzH@(.tj{``GjQ"6A\`uQJxΐaQ681`Q` J#8c;dGF)UnZ3;0T`&fPRZK=, zH7~Y5#"qz wW*1!oǻ6DA$ ?ͫᒏ;"ES}4>E=dm6XIpz!Wgvȿ5KO1Rގ縘x&_@O4"ePWU(^gg/"w`>t ',d Z)/8?ux NId(> 'pJ6gBV)1PO)&sn(! woMMY 9-!{|&i=4OF7S<_L0a?gS!͉dh79 .GZoL>lnGQHKIy \',~k8,f+g"XU-#G}fA0MmwSf9L.k 3,St9JH'cٚ"/6|O5\"$hx/w;¢W vyMج],E'MFT=.cvW=zw18UCYaa)qÔT=I>bCmn',A00'IOFh?+w!N.=moxW :M+y9ę Þ/ΊX6gZr`K|$'IG2J,KHB.L+ߞ9%qjȦA(Jɜwrۻ$&U$`XpF X=˴=I/@{GٓZCa 4'@igO̧ x:4zu`;jK=SU uo=#s4?w颇׍mFr]@S(`E ы.|~҄Cm%:48TtX<_Up"$> 29،l Li{%b\%O  ._n2}E`VHjZ)guش%gpwhyU~ &<>E&/=|XsLLGre.>"7$C8|1'bkuP^Jg" EYztzұh3~v (هi&19L"P m0x /j "#z'K.f#+nFaς`C!-2ͧ!HGey(<R󧰾.fsQy)0OUvm)qIdZ(eR ϊ.!8zM<)k)ILI+ P;p/fF$Bx#""$vgFf,u"NLPaL6CWqXTf&Szj;< me2`0 -_jN!O_ailllu8*]Ð_fB4Zj<9ʝہ4[4]:-w94(s[v3c~b?i+KZU%9I3HԪ$83RDhNA ,~B`BҹZL:[ uAO&YH a+RD$X,s,~>װWm&/p5{j^nSSSQUb*{~P.ܨS"l ~ܛ5s rivyl <{wLA@;??>>>_2oUU1:HU{|`%e8‘ioJEIK9=6|,VDPw?w,Θ 9M48%B< 9:׃:z so_Ѯ K#Thʺ^-+ q1R`=, K !%9K&mfE2Rf`H=5\bc֤֧.u#BLBiH`$QQG7#aOwGrJԥN&ظi:n7/Sڇr<w _֐Mɖ2()ucZV+LX*݂qi#Oߎ$|)<w% H=v /lBY@^EQǜ5,88.,_x-3UksEtq㳇#Օ{gTכq[}"1t20(C.dg =\ X)w^R),;}X_|M a W L!ѭf..˅v!8x4;4Nm10etpS9s?iҙLqgv|rl-PY:g pО{@r:4 )-kwIyBeTap3fi\/YRWF4(ZlO-b099/_ o{Ts fɡMeJK6A\hI3BheTtK2;5.ǹ1Q5A4kfYo;(r8|#I,X౛} J7ȩMJKZz`_\+ Tv UJQ1n+]=7lbUOf9+ٝRC,~I3Ǿ44[P .wjןOLҚ?f fVjқ4j9VavVQ%#03gTw5"_I-BHa'Qz{Ċo,yga,L|+ 4&(n-K(ي2}H>\:kY|@*@d)nz8 /pF Qd]45j=?H3FVBL ")=c71lV!J,,q[{;P?f2)(Ƭ^pٵWezN>Dkg2N0 'edc2ӣ"r`ĝNiR#Bfƞ79}Hd.P Xϋ|jӋaftxfw&IPk1[]6$ WDuPK9NJ8}*o.Әf~Wɜbi_Gz+TѾ" s膉HNL$˚ZaMn1X;2F )+|)_bG\7z7 7d;Kz{V6{Fl[lPZ<^I LZ sȲ"A&C(.+˜=S#ІSGl} C=!1zS5S7%pZᓸѠZkbcLKY@YbVsb&kfGSeU8+ْYq2WLƎW A %Ue<|V8)EI6XS $*|c$znfp9FQŒm8wP>pKêHWfϟLuPbl~!ݤ}=t*P&R]RAپ!L 8 nEoeT_~nE.S= N x"4mM욌kV7V~O2J4Civ+E_:]PU*~?5' ?蒰S+=~zf\3YdxFo_RdXHeBTҒ)ĕ]nܔMfU2umiХtZ-E]SJStvSgEWJ_ZV`&c,1 @*)b ؎A>W~ٿЧŎ(Y.'f{sP'\ ҾBO|0WXj'v80ƷO')u ,BW:q&%$L E$FJw](hEa5|(6`4f„[)m^U)|ڙ9E,Լv}F9OaѸ3EؚXHRl0yZX=@L,Q9v Z3e/$e\\xn U_C5xQvG EI:d H 呹N%FV\ :7􁂻L3gsۮ.i2 %.tM~ 1~;ʢp$Q+8& e$ +_ g oEY6 ΫdzG-fZb.% w9dA;,\196 &%x{V&qGTڼ,WuGf,x$Е2Uް w~##Aj|L4ri$I.\uo-^ހWhdz=/S)?^qI0K\Ξr2RgQ%l!,, QU*q#\6eHH"&Wů&ʸ\ Y =P<% .&vw FanJ[ JG%rCp!_n҄7zqAn $"Z|X{Ia ?3Ai-/]HbX1Ч۔?ܣ?[$х̡j#k𿖁连.!C^w#IlpbUegpuGқ1jaDgȱӊi6p`YOߤva9e] #P%q=P|CMQu-G>9Zd_m7w\aМY݃\E:; Zȭi?4wҚ!6qXFve^ƓDnC ~|L31EgȘ%Uht2 W8nO! h{^J::&&CXeI:+*rS(hL3Eп &4I9`+w mHRMϏjzV\MC15#cnԗ<5+=} ĚM|D!K:%|@#)txQ,cb8*:LoDx!xݙ;X}l+}/ @P7쿸7\E\cS:g8AU/2b}c%u(!o-G噲Gԍ݉RFmtiNjx z+=+&~^EVU'$3 :ʞ01Iffg=Z ul/[=Y\زZ`&vf܁/5u2J>܂s"vң=uH$l2Tuɛ XJ)S@%N;9qJբWE'{oF I>@zˑFs7-5Z ͙ZRL6?g c2AE&9}_4> QB.~!4rANٝ:"Th?hpYvezBL;>wK.(rH7L=v Jƒ&sw]#&O5h|d:=ei:%J`"4-D@.\L(?c'"&=y>)Cxttq?d֫c88 6*(UA^޻n j&@q)WdVn.rƿ[a)Eqii9Xo9h_M!ѵk$(*5_53Wyku19{͙l8(ɦ>ٖ#=qxvP'[! I]ŏsQLIJki=ez*Y#mҢV<QtRS%iQd\Xƀpc;R hD@:vj:7Ĕ۰4n}ﭯ vԬTꥵ~9zZ c.LH/&34_:E 8jr<)#&DJh&ˍ}"zOQ[Zߖf}EUN1 gn*hm{h_8%V]Xy_gb]}%o;Rb0g)?{ k·LtNOo6л=ՙ)RQn%ܜ7YH0?o.Y& 1}Rgd.ׁu\!d~Lp:P.k:1/yOHNY #'jhȍRKFh|g\H|A=@$Bsb!ԮΩܘ͛!5 "*՗D-Ku:C0N6Fc(mL[F S+jEr2c8hqi.!ǸaHʥiP !S&3R6 !EY924 0a12ʰjwadzc_@?2 jGb$^%R ʶRF^&bH= DfdgzfrR+θVWFp :n|!q/8N\8m$/lu5hP׈D=` *./#Tn*(-s;J9'|9ENz0u͹z2\w<_>bھQlGQS #OBk3s~ 6ILAI #FCy&SvLOf%ٕ}A''~uYP ~e)r%BmMmUP>dk܈'a`.GEjh CoQȿdفXؾB|L=Q[kQ,5&Rau,I{H=o&\WZ3r BlҗQLPH>6w_67;jNμA']TD.Y)=ӏyŠEL̘_<<7)C4kvMm-bɘ@}dDPpS4\(0J/$W+WFGGh3<]1S8gTAΗӫ BpFN #7SH^0X4H[>K|B Bs,=&mdi b ! m|6gTU*WMpr]4۲=Ss:5`]tHxjrfV$0t=ZpFIHC1166'h,r1=IϖqЎ# 7Y]oSN)PdFbαYg\q=k.FKll'v,!D¬M"⁆:_PTI:hx4OA0%]c5`9%)btMRЉrx!'a hb:VሿpPGǮLc?p m4tfdA_/WK[Fo4jlD`'"]e&PNN3ZٶO3wcgZ)m0Ñ/:𔰋:sŞbX#@1kjXUNfD'Ox2lXRT_-V17w^'0l{ߐcd|E×CEW=ϗâv8oIӴ5yK2do_GFcaCƉ.!֥쏜0Z飯|1DyΖȝC-~- FlEF+E&]fO|ѩ̠ȖxWൾ+ 8ż,VkHԕX&.SFI* '5 -)G9`H:Rl^9a4bԡDj1b3bnL"Ķ..3uX:2HU X|Y'^\&WCsN%XPq9b R!? -b y olU B6#$Ď;tm/˒(2`EEh͗FϲH7lAK\HVOD21>U?^$= I 7=ϙ쩀{Jm$[5z[#_xY&yG>AF.7% `D^\?)&L;R p͌1hl1@hcWY7ֈjKzG$hʡv<+]&럆>J%10Y_XzRJ,p!Xi"$EȑلY~ -s_ЊjIWz&D<:< l9h_L':>6Yq3WU!̐s:ѷ1P81dQE]+qcw?1`/Nԝ%'K)Id,N(\T.߫돿۹wy"z^ڲ;lY<4Rc o.Ũb9BTFYCN0ЯRd|FÛq`7`Bf0;4*,&\w{pM Tʁd/6syp'v*TS2p6 h149zc"!R=t?kNjSaKSb9?Cwg+MÞSh_Pԁs|~tUm"XoG1VqRWjQ<ҩN%vnV>#ɻE*b`QHg.F)FlƶdY=c]$W7;eUؙv/c@TtSTKF 6Mc/pŏ:,a׋'"{` "|j 3my%l($;!mC8#I\{NGW˰kуON B<ܟ["<P' DE8,r{:,<8SRIOC߳Y;g8Kp["fo-j1l\׬Ѥr- 90WT a~Y_udF ;e(z1ݟ7,`I dv5nQC6M%& $Ő.,l\DJt3Fp4c70!{[%XduSkMS+F )Y\nGwXjCxL@7 $c2T5ӠDg%͸~yb|R Ĥ{9F5P(jA&!qhvxLTsC>~O9Jqaɺ( 9 6"e:7d$f_γEA@7C1#90|~ 3jQ?bxBuo h1p %1('qCX#,'*;t7Pg\6gwO.Ax~H9\S޹Ǩʯ z1$tXL~6FǞNW;{l]'d c :.ױع>RM6wTEhwm3eu5B ΂QQ9S:l5mdJr" yAY:|wr,0lA(;cyHeĔ FDkHB9^u&q S.*tr@Z;-clc7#OEoZ1A-|#5i'G:uLApmK1/"Ua_p&'b3=xasRKDFD,lJlڟ)N1۳0M 65~Q?"RMmLGV)_RݑvP'81VmM5Ȣ *gh.qi,n 6'N!ثtjDIJd],2Ai׿ 9QAֶAFtM.\dD|ӾPdSfn۔і&P)3XJ؅a(ĕ[/ C>$v[8ImxR aH@W  Q$ @8-Mk mrjx%̋-ǖ^ j5~d zߙ0޹0dim8Y;-r3sO1cqWZw2V֦LO+.i/O~04zugYUKO欘̫*Bb8L>FضJ+$JsIGK O>yK'(?3W4L iDG7:r}^ZcdeJGMEB>dW6|VVy$)9RD$^Pc5^k`E BPzl@֛W@4s[~h&!td}1 W;SpvEqoXax$~$EQL/YrDr9(ǀME?Թe|ODyfOuuX*qXNQBxifx!$6:M4B\1" dp (x}XFu,em6B HL/(ET ͞ҕgbUCʔ2O'pA!3|_%&; a`_)KYEJcKEQ'z85FH(l'_'KԊro͟'.: 2+͉wT$^VN1QPW_%CIW,dd…UT;CO\1hD'NU``0)QZjO?\qL"O=rN9j:B[Rº%x^_Z6Ty2$;ɉ,*د^ =,ދ)Ǒ$;r]G36#UIy.x썑1f}L8*K[. ,+#nUͦ zzsH-򑔽2zeHedVE b˃)YUbv2hMF]K܋=&_DH5TJO jv,(ͧDqNm48d`Dz*@Tش1.L E,0ua'~seXA6I6Ɂ8R[G.45ާ*nTܓu>)6Rg dלVE!b(=E;ќ)#aX.*q,hDu9csϸƒXܓ`?Sdɏ&⣟ȡbjY8ULQ *k`¡wp|ͣ:c'"!~2+ 0tyWNMSWA+faoYi\I8V vtFݽ'VBh0䊗D<IWYP̮r·5Z-n)6GFinc-oBⳳ:Y֛n!ƉH*mb,ŧ&LF1-+F:I$-[ES8{NPՔ+J=¤r)+@Fl&5zc:gE y(l-|n'(2?yYA HZY` $E̎uI)]qX0(UϹӹ=3i-HLjLRdS3,Pw)y:;bf`^uV[k${kJ_U.B5v$cO G!,q*!Ê!h`dgR=c)k/'`kٕ gPI<\Ti&`OPE95m鉂nؗlW8HqVnPhUD-xa& \Wqi[ni38z Y*_ah~S 9 Y1.>4Щ牃R-sN+I^xKnMA 9.9gH S^*@m}ȁ7n؝j5#,[U@\ZGb/NN!ljټ[m1ӊ">̽෹_1|vzI ]<5"щ:bfR(Rq H<:bOzVY5$9t/L ʸ?ygZX6%#Xھ'f-aWUJ 8$Eoʁ%0 a<1E@4}z1'%.}` yoJ2AdaX&|a*ʘS젽䨌A5 EyXY&UNe8J"ihF̼o=r<mŪ<~bC+TKk#=nt9P#Lu3Ab# !a꜕EYCD?kS]&%'N1"ZJA6YssZƠ~Xʾj| W6|5sYt{NU+= ڝVYl.wѸh s.(0iʫ'&l/o l(Q 'ΙBOiᅍdI@6t6qe"#ŢSqp$? yJ?4= DhauQNi0a#1ͧ޺8$ҧv!=?B0ek_M `Đ(hW:H`j< CE` j="<1E%wޛq$Zp_ @Q&u2hCǃ 6fZv @12dաU 6:'krS̬Wo u%L-gmmu7# {4>+8R|R\Ίی:;v[1#|}q6JVGpz"_ (YF#z2lu7-uN*;Ӧ#' 6+7"L=UTG&OɌw/3\pJҘ8qD[TA^<4=>#M%R^CT-hoyn϶˸#UzJoUSCl[R}eozhEىa8(~$D^&D2ʝ$ra _ae]Q NvYzAmMx;2s8x$Wp*[cuhw"t*M=Qmd8iGNzƓhD4ۮ{e"3"+=vx+:\/FM񸼠4=EayQP0(?o9mI6&w SN]AR>C  A*0CW:bes.Hb36H-y˹B"" a6 Q#i-AϬ׹lBA\WEi-!Xk 6D}CuɳMRT v _ZԨrES: Hud:[ñ830\Nɯ\H..0+LȭgthjxWJnl+24+=W j?mq2u=K`JS;\~IzҜ.Qjk*9GЭĴ~qfu*<'7P䮏1J Ѽ:U`[(}`2Mw텗EQZRԔ)Ich"q <¼u.ԑ6amH$c[Wq =jS vQ&B+lȡ6fFÕqv(CeZk`fz` 9Ol"$NTݡ]zfLqjpf ]_z.LX$ꥇ]b" 8Qe;y:۸z#5o7 EC64)+p-(0b< Jqǚ"k C4Qx$s 6GV@E6YkgPKe)V*߇ J<ήWL?tl\|q<4EJs5x"g"O8( ~7wH_⏊x&04$+c9\bߓtXNXC.$+cJ)Z-EC7?AF/=<S=map/F 1-ވlmP9{/R`H 7KJ&g{W#(ldq]~&qnj 3jPK-G26R<$ i/ҜBeQ Vk(} {2qO+2;Čd j4Bĥ:1wDO$mHr5!}xe:=KpDj-uCVbhKOL@Ѿ\-u:fGm 6Η>*#AkYdxi#\"q4$IܛO[mލ>dҦ:|!*k Q!#(k}t  GM/Y;r7tqqƐtjnUΐ#L: R划y콠y1k"-4^zd2YT;cѢrHQ,SLR{+ZR(7ωMXG;EQ{ ۗ;6vbjgq *[萸l(ُ m@̆KGHբ/zy!E5H3+iI\?l}slŷ/sxs h@- z\  o p0(q+UZ鲟a湾jy"| `ưbYfJLP)Ӄ}}NL3^ٓ f#PMX%mLͳ=3EMQ_>юUݷ3(RlIcKOf9΀K?r|TGL\[ OTF qGYS/ <`6B_8aH4upl9͝GiY <'`z'C6jUcA2ɟ8q=`i3{'KX ˤ\IopxHL!z蟑=.uL4¶1e<5O ٥W侦/"o[Ŷ:TG#Ol֓ 0?1<9oXcFrK\`I9mՑsslLON9L{ *436iJd)ʋQ4مᾱ#'r-/*xId8ǝAv?=[6Ē~ST1^0%x hl*Gv99ltqDRzŵ5SqQB0Z4)!~bsáS#pwة,ML]Õe<7&81R%6jG~069]#.OB$PP@$0%o/Z^+g!?5&1PXʲpQwzI&rJ o]WPpE~mZ5o*|ZNrnhc+E% ?uwAe”oGߨnU:/u풶u%cw*;8;7gC !b8z$tF'Oٲl9:UJ 1 l:ȏ\B 7d7ӧdYU}5oϾyCeܽ[ rXWCJ4my%ܢCmb Қ-1n,?+QxF {#!ѻ۽+Sywg1fzdZWYF 0H%/TdɋCڴŠφ$ip6%^{0fx)Rĭ2lE""!C JCdOrƧCJ<)ƾ=8pBVń >$6䲍Oucr,QٕmL6} jD1bޏ \Ha;, wT cE3/[[𩺾*l`l2iZj&q (VF.Qj&mO)l$X WYҕNޫ7Hާԣ]j8~ ٺ1m^Jl vucyDWG&fL|ҏo])n cuHi,bLy6bӃ~@(p(SX*-VН d+% ؙNTG4яa#$QpFR]/w}lQ[1[X,agd,U N U+!U.K&A7=JW!Wx_*[[1:4M%ˬ5:6vS*!`Gcb>rpF2zv4bf0F`D9kN%z3CLl/ =k45,jL[^$&`bk+ Pdk3e$aӌ0Ew3ѹh*2KbM{GMIˁoDqB` ()s~zF3τ)5|rvzrA, $V><Bcf2dգ:>\ >=a2,+EhV&R>Q%fF=dphB(9-G sn"LYrT a,|H/ _N9dHr hY:4|jNu蓗"L䇴L,`]vbcOs!  fKX 1վhc6خ!=-vo̢}O 1bP\Xh7Ki/cc9YmHd 4_I1۩ӏ/N;`/Rmj.ҝ@5r1$Ys\ (DC93&$d1iXY?vcNp݌ 1`40my e%/|L+'qjp#J Vߌ2ae ]IQc?q13&Ӥz屘/'ZҠC? Wy˄ܑ.G6$\St3F0ֳ9k0K *6H2 Υ7nEf4RsEŀx[ Mq1~UbD [YT D"A 3hpF-y:OtUum=bhN!X -TqdTBb;ʩSTFI$u pyr|ċ -tXK8{B' HD!G%xɎTi:rcEDy%9 ;eX=EX24(rxZ35ڄzB84٥Q2CrǛ6J1¾޿Xoa=NTq5rNluGXEqt]"[D~dD\c%np݊fmLZ+7%5fRT,B9üx C8$®C -`R5>yaQ5f^3hJ 1cXP 0z5ĔrNL4%28Zw2/qr gU TTtӊY+6MXҰ.bW͔70B({I))vyę- +%Vgx<u`fT^ؠ* P+ReUB&9aKcpG]t̀ 9@+Dj:;wo$)+  )0: a,^bp(oP*ݱ^t۩ݚWr+,b`$6!L܋Q9ª$hG _SȊudpQJs?zijA΅pQ QjgtOTx܍:잩uTu-Ϯe? {|Ycз0qyӮ,3ߍ!7wdwP[ԉqWx,kP%$ZAZϸ Qqw"!gI{(&b)΢\sމ]n) b5Jhvox]+rK㟐3wr^'Mygg$Uk'0liÀb#iЖ gGȒ+Gjˑn6^vTYf4Ƨ⌰ܵ+Snc]3)dpa,cc [=nѕ$ոZLx%*f?l +8P=A#`38fX{ 1PrM|(CfiR7/XlVtK gqaZ';?S^h]Iy2:&Qns2'bPD~دF=" tϜhFI-D'4HV YI$}ɅV2'@:c\!c:.тd0gY-\,2AΉ}.%̧2넫"d:cBhv{*%nIϭ@:ba0-5"xԺC)bdf,(re\! 駽RV]/ѣ v/|ADQHO<+f,<-)fYl>03%~mɏm},EhOHy #lM5M<9OLGpZYVX+~r >wIΔN z H[!;fnI:& "E3v*JdFWH_F˿s- Ϋ'8æXW/` AY>ah:?DXd mv/ad Ty3U&|0 H,Ffa^1+E)Ƞ.6}FEvŋKP%Q=]yAH*4c1k>j7Sf^ɳf?}Kl7 v,[9/7JJDlDkDo1K045w*ݏ!#ʅHtߜߌ~n7g>jUOc61韶jzrms&&P jDIN=i6)7|OQea>yM)~&x#+?k7 4rH@ N tH%[ D&8fpOL - !Oi% L?zpi~Wz*gsȵr.s/cvϑFۃ9I_\'F~XMEZK1eݴF%&s%OjKY9*z2Qh.<.OSK'd3c"`TÌ\a[F4g_grbfz yU &[(Ԑf^}F}V `K/O2CKS`1T._&fv}c%Va 8 lŦC 1`?[MnoyN sdݪ@8,?hm;9e-l 6C`NbD1,fk:@RXϐ4XѾl (3>-~Oj7XFc)Ǹ.f dQ+tI6crRR=4?N{zPY 6I=IK/UΔE7|&Bf5UrQ=n簭P0wB̾7Y}a?:CJC3/m6){6欵/J:jeP(l 6N2ӐƷs[w?pX̻~ ;)T>:^PˆDuaQ8 EF #u*8R>(2ŰnEv(2g̟oN5$<\L=3+Wp  ?'`fS.-pC[Vb0Z 8 rP3,&oF/\2JXuJLq֔&qjnz %(܎BӲ~neIپ5fmeVK}FG}\ՑRC,"T19vy l\[&2lV kKFvU%|YG bs"0s [1NF#EG]倃8yY$WMmiD$+'4ԩEC3u.V/X6#Ҕ~.Lz!ţ/ YB&gE ^lHQho%rf].xZ@~)V0=Qn+X+0j~F)R!Q-@RZ\//p kc?4DdRhFRlvH\ lЦe"k|nj?gU?$Lud\hLl zN4-}}72 YEUz(UD׎=6 %jN(ko]kP*UF*z6.B`Z![w>`ǍɆ,V 4tY&oa yA^gxj/=_4eeVVb GbR4 IB$f &mx:D`cЮ.X[%)I%эAV$+,;R=;TաsVuŸ;y5]K/c~r8~⨦߃N= SU0<31+2@G,F圲fiSLq_~ڬ@%1)hTv]YoBl% wzQQٓB_] LOA8 t3^`#DS+epjܯ^}ŭ\6p!cS; ! C =AN?XK]R0GʇQab3[Hjx6:1ݴ)Ōh8=[KZ˒Eoc0+|׵KVKQ2#ڟ) +$k?<lY Ydl1S\`H-7C>W;:5Q: :K&%'&B*)@TM>RB!VNxQ^a+ehڣ<Jǭչ3D0v"&yb7=g뾎Z S8\jX=C, V^2AOz)3E > EmGؿ{θQ%8ĥӜ&崱8V`Zխgtgg6ɩog&8HnyFnl_QW ,g$rWR GK6XP0rv 3:tUK+;dlE#]ɿ5YFMْSn>XFN/eBϗ8J9%fadH4c6eL<#+],śj h w˳f(Rc{AhhTذ_sTf Vu̡̘x|َ3FeSD67djE,j͟0.O? ^!lWd)z=PȱL-v\"b`C ^3S"OEpu,[B tO-9E֪N(Ŗ,MUܿYz̒G.D0D[h֨hhpsC` 2x@]K49RI>Ac*J$(%P뚩᭐0|Ja!m2vzα\ T(Ef5u.бeԟ(8YZ8$hHux 3YƐA>X6Z?H"d3j.#Y)bxұ^Krtk!͔}ĵ[:OY^tN Ԉ6:#R>tdQUt7cHMK@&tϼ"ЫAG4U@7+@ۀ?ʊҬ-Y&Ѕlt\t=1_/@n9DbґyTt?QqP Z9G;pۛ$/Zlw)ZiNWp+'VSO]2g/4CƠ%u<,Lo-!v7q1a?! \[d1AHAEizDYP$% 쒒%% uG-IsV[ϱj'iszN|B9x؁m?`7кOą<<< keLIG8<(hEH/$v)?lt^x` ՕX5'I_5 Hy ,cHclx485RSՔ˘Bsؐ>hG@aII_BW?in&喞tti"v.VĨgPaT)|+@ " YhI.KͰ if;6Jikpb U+ 3x.pnxm4ݧ)4bH &3x;>>,N/B0R({.*ca_-dɋ'kΊr,Kq!SC$٠8Xg׶;U">ѿTs6 m)O`,*QadYf,z.I < ?D#/MDuMdz6iJ/p$v綃)y_oz4юݦI$TvSnL?H|6 yĀh*Nɽ4&^V/0>8N:(~J1Iab&¢rRHXdz@ XvbpzAho׻Crĸs>q`JֶL 3g\"*&1(hPjYL8|110Qw7jrE=YE}rgXOʑFd}2k@2w)8+7ga˸*^cHOO\!?A "IA~)t75Dq2BsM,9a9ah$>p{V)b}>&,Ͱ\}hKA\>U ؝)9Ըy:- 6B}"7%P\|\Ҙq-TLXXD3cWJA*R' 55Ӌ1Fp*|Sud/.h;べ{Jp8KPU߽O:YCgޅ[KPY|G A!j:CRGUH3 9 :@CPZE$]rpe7?k/h[qp =kzlľ::j8J"uRcč#`19(MNme ZepYpʹ{VV:Fݴ! )/+J&Pnj(zn7B)ծokl#(*.#|\aeAa5GR0v#M(=~I.` ;6ǼWzo!rԑeG]#b >1vRszZ9\L.SbT#i$tㅽmI>ɳa!TTs\:9rEpL7HboW$1<9ʞ}wJ) Bej{SpQF 'Lڑ6~U4YInjv=CpbUR,1j*H¤&0*b=`斓o">V i7)ÄqG%/h7c#;;/#,M +T*o͇LژpgAO/Nd¡BJA&5Mu=2*(wM^꨿юY.N⍐^R\" |5' d P @㤤񵩆zEPq$adx.hij޽ Kl{?^0װcVNW_ 1rGgT!I?ˠ,S J,7VXHxsrb;Qz$ླྀ͟dX;}c[+O[1cC2 z6d,IP{f煳+sKcU-[(Oqޗ7 ϟwXoqs u \0,2֠/FghLO:NC# ]&F3՛_3o~:U[;ܦ T98QN?rr*7{1R77vRԙ9k%H4vN)ib:;bTbV.Hu^4Bbn5BgBmv:^{8 D'sgElVlAb՚:A:4pHXm ģsF<1l g3q\*$f3']`UV3vR<iHbzK¤]DomN*]6@r|^$DWKW`(sW:am"4)2gSŭ6|6F۳,&ע􅐈;>]YOƶ:]Fq؛&Z+0|]UHx?pwMtÜ9(DBF!A`ɟZppiR{E,ĞIV" i]R~„hcg@" gd]68jXla^I<3`VFŞnnxgW92&.1@nlɩX|{d :8.THl26 xչqzj@&jCQկ1| t5y}z#,d孑5acHdsXQ]O@bM0MQ?X![2$%)6_8eXHjˡnuaOb.אo"@-= ՙBEa01, pf}L(F ,:9I1&% Gk,GQ$bku* y2fG(1iOmt#X`> ,Iѯ`=a'TMMR_tވ'`}#Ibi`.Z\bb bH .#2ʼnk30|7$!88J.nw i&]HA\Bq5y5UqJp>V?]l)p4 %EyQLUY DAgG%Щi*̑Vmv>hRd38HuB^iܶ=}zhس,~ӊ2,H :^t\& VxY'1cƘ gri(%e"̦Ԧ* ֘Mlo86 Ǹ޽ic{$J߲¾C&TPк /m%ߝo s0j ʉK4ѹV8gO3*(, Dѵ,ٍ?ĢeZVDCR-d9hb0 egUUpLyƊL/ܪg1%x3zT!_xu9pҺR7_=槾CBrME,y\ZGi1|5]^+7N~!)?~ɒkʣ*tH c2~qZBi xgǫxM"["N k ܃dB?:ajfۅ9ЃS*D,r!e K,T=&TiFJh^YU4͙Z-RRs% F{gMo m_ a+"Dғ_OVKUGhcDS=žs,?f7 Vy<ݮۑD_nJeaoN@tbr6o7ur<¥*A+/B_S6_[6aN2H斝}@֨ahvhg9^,2K(H@ /0`%b!#\-ؤ;i~t#_ŽR/<#bJ(FyRj>g801i7%f=|BHjsqSHAR/SM-1d0LǓs\eP8.vSD,- SY `j7%̠4ћZ\~j2 7|Z|?(Ѽ`y4sDE oHJ[KY,DKX Z CM|\К$;&5*HS_'N\^=4^x)u'Ȍr3Jg?0.iJ\^TTT4PNaO)pI HNGK! ͇ 4#gk< yو!Ʊ:6sBXGaDNi7C_r|pxNȠ9Q4ƒ_jsoWLbyzVE\Z[_U4pqmjØ'?Ym?eLl)Thki]]YenGׁjWQLk`{Ș% xmpS;dhԘdwSHP2vemeDPzcH=~Vigz˗t[bb1aqq tW `7pe.*$IGA)I8q ZYB :&klqam<Ȩzv,GX~U)m&rE0l62$3>\m1ѡXCRzH!GE AQ81]ſD߯#6GX֛R~ 7Yl'U@ؓ%͛Fx~((aig#J0Ўjlr_ hlPP1f01n픯{p~:柡ؔݧdK«{_A6Igw,f11]ĩ?CT4-H7]^;̿k|I0=˚$*UE&{/焽CKwYYq&sy? hQ}Vb#RMy#%j>ѷ͇UWu,D  NwP51CB&J9L);枞[RhdUu,r^ <18e$qi݂GTޒlHz]6+ W+=S?]tI=+'JF[.(l|f&.rCU5ӒN 8&0\w1:Q|BCϙި<TB) c~",cQ)*(.m0^l!4(i/6[ٟ8ļB;>,z7"19D2AqrL0]%2Y!xfk;|,vOhP 3|X"0 ]]0{O w 7c뾒~6$Oq7KN2S2_I2cHNV 7w%[6>NN:xlCjEE9{Ձ٦b8yAj_ 5#xEVD(J+93 4Z(!^=Mps:1Y^OAwN+ v9Q͖?B^ :9Җw]R3ǀX)ÏXx zzE\{n{yoEX?4z!L1ϣ-q'pO(g? Q:vVKxsUUK )h3S9Ӓ:#eӂnywG\R~T*$h| 6gWY2ҐbCֽ"7% CbMm ;-]2TL #fDL_RŅ8Oqz̰3/d{|:l4>R}l2ătc!KLQM S59tȺ\levѹ5<@kL9<1܍3rkWtr?ZDhVz;v۷c.6dɗ=?<V/|v1b}9 i/O( E5Rb4cuދrhbC=}Hfv`Hm<>s>;M 1 fW//tےB-ʧַW=y9j%eSye|:2d54g*/U]~IˣE>!Em4&94?ay<abCh=I_}P g9DQWSCZN*ϼ{cVFXRrOey_~ *ؓ[3ذ1 Drb,ND,HՎY]SN-#1O_c$z!0) Z`?X/ ) On+0H|R5{Q^\H M7"\i b K5 OJb|E:>^|ğRr'r,ZPeyKhGp)kY\̏'޳hNWCW`2P&:o"hm,pݻ$sK\3xpatz'tXV8㛂D#uT2BC,L`#{Hg uSZ42q+Ɗ %w>(2>Ss6ѭ';rBeA-=*^|*IaǙp|xdʩYlŻmXv:"UQ5uxG/]'H?*eHGaF e5=w":lǫj8g+qĸBTq\5g4=ݔscTp%Ǝ/ӧ.HhOldDpXp˿@ޝ#X`Yꃤ5@7J|X6Nob;|Bv BΟhx[kga:XI#FYsa_B>瘔YIyPՔD*X)Е1'[3`Ym0i1- |* ߎn*9zZܞEa6O95[qG梅X,Ʃs~YkռLտt@c2M bۘ h$WM^;,3r KL2bHe%z=iNG_B)BC,܍IH+Iy?,垼RJHJ֥HPZ噉thaBa~/]\<'gDRyMp@$z.3P&jr?y*.1KDDcx"XjA xtɒ 5W= @bX~̬ģbG=Gdl b Ah!yʕ<Ѻz,L6~\HM;$C([BxuI3j~彄TU2cKT8ߊ\{즊[<YU2OxIUZ6"'W[{|5fc'\ѾHwI!xrfe&L+[{ r2-vW|/( Ȧ<0 * *RN'jsc]硧2=)ͥo-jܔx#!v>ݦOg+LmS$#JKal/ObeQD/\P,R:KTrwdZ ?15"0: |݇)Bph&MTM/w#/ _.C:,OU͉+O0;B/i$S ǘQ:l#f.h¹ H2dExf|.dHGL: ׭j/%NpwՈO4g'پcrPew*6:Uo@f.bca>Si8s]^E*~i+K%t'F'PnHO)"D E"YKJJJH$JJH.%Cf3z4((zB 4ޓ [Bj\26|q'<%|Rn 7XK塋ϖKw&3IB\fL Sf٨I濷,{5X6ڪCsn$XyԤ! >W=ГPD>īz&^EyZR QD%#uFF Θ,䣿+7huG ? #24`ML_asx& l.\ov9g6G Z 䏄zi{T8 !y}kR"4&ҞsN_3KΚR.r3 XNS1G3Ƒ!|u6XAAr4ƴ`DL7O-NgYFgdPKHV$H$NxR\#&i˞x9Li Wd݋ /:l\C'FFI(ƭaq8sADȐێe3T ĉ |&髕F7 "Y8 XŌ0Xe*gWg~\Ę?ÉZ, IMJ.'+Bѭ b٩=x:ׂϒ{Tԡ`ݜrgezG|}2BрoK%b(`sTI񟵝DF.u AWD&gDa/dal%TQTX* S~~1 5{|_x1D~6Ő`")3o/c|@nIv˱Hq<ݮR_ e h==T4Sv'IŠ\;JمBW]Y ?6ve632+ NiDBh/]&\I ܤ*j9ݛqF_']Vx1^[`gΕ/-I6<} 8OCC̟C)vo'%ObEZT2UGpD9nWvZ[c]VLLW 4%ɃC6k of)usXC05^%'(D<ãg?5Hp" $- -&ٸ >1skXsJIEBݓʼn.o$)H_F c yr* O3>=H%atE#h2V3MqS1?ܮJ[w.$DVBn_"I//+rGxr`GKXDu!qXlf 5&\-;=Hs%(#H0`Ȱq!B~˲U$!f8w0DR}s}6B2Wx/}oN?8{s oGw( BQLqG?xb)&sZ~dt7qVūË;h5+,>tZ>G>7,h97XPEB>Q&O&7_WtX "dJd~_y"ȹ ߷wO7M 5yd%U/Y:Ґaj1j#i`)ي&T`_FtidI(*'bӚ6Rɡ9 ;q\;zN\RD =7C.642GM}f'`0Tlnr D d2{2`cyM25滢ԚxEQ6TQv8"y1G&Z4(L}Fid°(*\KG0p쓂>FfW"JLy^1d5c@˙;vɐۓ³s_$Ι Kӑ@6lLߡqثR[_3C jn/wzy~fs,t|I,{a1^+%ḻ+0m O;o\ds&_7}NKy\UbYᖜQ-9NJHln_$BY; /$̂0&,"9,; H`񵞦!vE!}z︤]$MK$= n2xWŴy@.fe;.ߡ# j2.K=TٹO(/tբPʼn Kê?Ӗ|CSE!8i1Hm@`x8)4Żv{S$ŽM:Bf)_w  vc6`fIt1>/.n&C\UC)9pABކ"qŊ~| CU98+gL bGPê[Ǿ1]cŒ=h_.*jd_tB}VGxO [M XF9 ?x*+&>W> 1'^Q=+tۥy#610xOWP~ OmZc'j-ʏCwf,DtPLh;_:Q9NE هl<%j;)a lXc:&x$y!xg~ROl9 Pᆲh2Ш\RGI-h qf1G`뱅$C"W .&de^0 5[Vz&u:0]ӼDXMb}w?Kw"֠~OHe }L+ѣ ~ ]o1p2iXrIԔsFFrTic6O?ȑ?;CMqװlɓ>hȦK#Dd{H+) g(jӱ(HBZ ~~( ݄:Tt#;jc*(?ckCTsCt١B hl{aŶxuY#\'_?9YF_KCeEO0NrАv+[+E(2q!ɠ*ӌ6'18$/a [k#$]AjQMW~TI\Af%zyj> 6L|Q-)Q :81SYIxsgKIeqx3>GH,upŒf[ǀOTZQԢ:"Pm-$Ȣ' L5dTNfTU[ z%;~2#{ߑd!Cy i9qԿ4bӴ+ۚv"˳$iw?X/_s%PSy"t6#d%18}Yďd.MeH y,j_=NYb&G'Mg]/d\h$eE@JF=Oc^ok5"@U!M6Ef(٣w7xt%L unQ vTDagkF98SdLإ.ͤ`^{! XkX^d@zy Փ<3XSkMhڴJaB(ߠq%QTA|@k&09P@#+en pزHQᡏ#.(Rq:s<2cVV2=7 {RT)K6lcF]q 8l%>Ks+щ˕Ђ7z1&]>!iB.dq:oi+mG7J" 2:q%FNp)r^6kKf zgl%Yq(g`qL$d˗Kn+D.|"XjQ3Cdួ$Y"E ֕2lG-S- -_s;COwCo}"ǘ>lO8FR,(g~ dDӰ1ȳҖwb "X ߷!%#ʍ~|6¬q&_15i\NMMxt_?b.A 0X}yxs@,(n0,;\fN8|Ds4ߣ43<5;0_ S$7lEi6q>L_Eݼ.^ݶ438D]a3tuÎ}?&T~.H/$qM@tii)&SbE +cvcy\!Z.xE3YUH(p 5Ftfm JqIFcr\WVQ0G ^nXn1z_E5(g7سlg9&L ^1i/~;%h˹=p-nu:ukOff+-:y,2˰xv.]dfF|$d B6o־)TkN?GdwqQ=N֭۬\aO:'KAN;~6IZG.Wy>&ȷ%yŤ\jn; rA}A?޻-bH YR32?mzg[.I:#X>>uXw(Q^O>IA\p!誊8du{~i3>Zje*$k\;L el[FyG xn21wrs#י hδK-e68T[#T &_O%t9$kVMOV4ěk:-WBXَtp#kC&T1"a҉/lr6qc j:7jtG𘒤Q&O+J!ϰ*_ufFb5gcvJyWPlg=;Bn8ϑ#sY=4-8 ]jptrOi&jN½5!iTAd%d;7_8 8)QbsQ8FqL({iJ™f,.$w|q"R|ӔuL~y)&(oE'6qL ) 3ԥC'm` >^K/͜nxϙvnG ԳɌPy`''b(Cys"@ ܟHψ%1S^БlC p"Mj>v.;vZ`5/~dd/YtT``=JZļ (ҍ3n6o^4%äS7K&Ow+i%M'&];{.+³j<Θn)ϵx-^ L*htL!={SvߙxP_#LƿB^I tjb  zA"靳(9s|iDU oɽxX-~KޙsoO4ɛ#ND2I=JkvyyŸX y?bqJ9SL?Cnitѡ:I]|paD/M#1h_st̝XFgwt9-9/M6#ɭ/vxskE5"_I2xeeFk&dX/n=$%"D^rK#_:E0'x9bnH(RdA1i"]Z  ozԏI1 "Go's)A#_pUXEUY8!i :s?3o6P>AP&3ڿ(|DmƜM;) Q`"pGZF&Mqc7$n$peYF.ON=nrlLdYo&Y7,.c=O/\W Ía ~7ED^#>dPCU<\#KyIh=Ar>66rd85N{𩣞d;1&e>cPNOc:ܟ?{$~E@bXĶN ȵOd'197'1.[` &aaHWaP==r@qi1 G`o&{ @e0gJuNAڅ#Ն{ۉ2y&Ǹ, :A*m]W{>Z3$M+E+MbS]1Iw V+v.uj*9`L1&~nj:+gsAgXcV.eD xghrp?z؞A <50 JJ g_c SKL %b{iM br`tKAFfJ|iwsDs;3{H!۳G,^y R&:%;LvrGߐr^I$%MD^Mc/X| Q ^WO4GI:ƟI#l pBɦn]&|HIG9YVDSNpk_4 XFG>xJo+wQIv]8:ߚi]j[@7N-;l{yh$*,FAI,:LrxT쁓| X1 "^FX{<-(xh7܁Wݚs)di?cǷA|G>g>>wU&Otr AL }zHt%FNhYXϕnS I"šXzJ0tǵ!/FeUO!&Ul|=¦:QԽ%8)6ZwDH-CDD=K .h-oUXv^Cd/t 8/w2~p[ޅɓHUU" F,dP p5V|Ui NsN/,eMs+f9.d/x4ă FI1Q\"6bK(S@1r ;`?%G%[7 5DA/dʻ)L6 fHI9&%|t{9G&L|6N8&Fa{A.'~!p]$Eq ]R<13r Wx5Ư P{3#>#$M2CEǬJb 1s0gI::Mq@񭦁]ɠ|peu9hHH~ h|V˷X[M$\Gr`iE*yqk0F2C`k\cPw|4, gEm>(`w| sXakh5]fc+ʴ܌ψ;ȁ'qr+TF?W6ڹSBmWd9-FҐkhMhLo*l?AT?T\o&𸞗6, RyJāfdȞэSoE;cCr41GV '\Hcw&b~OFV\Xl%Fü? Sr%VON=nKOvgWQU4rQhG;:5Մ읂oc9+f [>CMiKzI;VRVr8d돬#TSxi G 6epYjmZ"e$X vwF.GN]ihqell'A Xd`XzǾ^}瑫=F3 G΂ͺhFxYC▃l-'b px@!Mnݾ}LYjn:TwVCh`SS8|X0R9 N|a3A/%v?r$hF\||%+s鰲e6hY֥d}ƥ,A"b?|FqbH"P~E?GĈϓ枫6P"5Qe))wZLIEzlA&JgU1Ão804lA}>cߦ2FҧK,eMpL^Ι&JaEԙ0ϋ0|X "PQhF=.kqN=3lE+8XaRL."ǵ*&N+/?).HOXvRf&5zȹ~rgww.n&e-''% QojҚ/`9@ʞEp{pKwQLfM1wQ/ޔܼ79 Dkp|6&XvL)ytΚ6`!pKnqm~Ǐ'TM*iC\?,/fqCN/1-ړD\z׏?>%ȉVs?%@q/cO5nULE(31Di/E[pg(̍x7_: XѕR%25a- LhBĔ=,sFr=oPtq*![=CUh\jϷd3'pYs^nŤ͗|8-!*km|ƭw cQ_iF>% ̈࿒eV[G ɽZ̉%b'3VmJիWҬBg&V(+%arEؗ 9Q{ÇO2+0ҕn&~L#&0(KrҤAtCHy!'G'x@V& b߬#|ydg \RT_݅A'*ôԗ1&t 9!AH'Ϙ鏋l ԄQҜR 1hz{5wdhb~:wϋ"d` ʯBVqY.<_Yoc Z!@>PPzX1ɫѬcvHkE\܏uIN!bl[2]B{CTtV!lώd ]-31&a G_sIK8ǖsK4sIzjn'7BT]Fl (qG?d SC;X0˓QW' ɭy=cLTԚ!䝖eWMty`@߬"4cS$3:&\~eg2Dc2cչUMWٱc`ow,r)DX:Ӄ&8i.=wD6.6ۮQcmFG8Lmג.7rn3>.8Α/Po@ӪcȖub |=G F/!dЅ)3lN$Ϯ)ʽʰ(+Fhm;wZ -g1F5BMQ1#J\OQ4E qM6ɅI(U Цh6GNM cӮH\eeק6&G?)F} eM4y@QI,YnȒQjwl?_ge$[ &@xEth;NvKPYVrCtXVHӈ='H1mhXZ1&$n/QHԺzdI,ԖjE!DɓfGRk"`QHdf4ty$s}z.p9G8nqKY<^,X[+0=1R4YT\"v.V5qu1BAugb̑4'T4+}%,ubz v4(})/JU|mWV,5n$x]%tD|t,s%'` Dj}'{"nFR>(.R囱$6 -0 墓Np7HCĆORD9 |K%%z߳"Nޔ /6 [!\~Bk̓<:!ȓVl>z_3X_EoPW-pBʹw2TKxψRL͔R}-F[($6n3d@# UZI0jt?01u'DS:'9Ӻ??AęfT㗼٠ tr|}Ip/7D yB < 8ţ۽I1}sº: m:-9=9f f6CceɻH8Vj`)ӌ> -_wb|m/6QD="zckkFA8#X xQGy, 3G9#75,y7f.ph}y.bf}1a%bZXaي(U^`~V8XeYR$-?wy ݪ:0'Bvq=U,,󪃪a'V>sSxn SFxQ| m#`7ĂOlÚk0dl9CYVgTvK 'նmY>CBmZE@N0)1W#p)0 Ŕkp)#Ta >³"O"0Ir_}$Y L"0-.a;GQ& 6qւܜ7W>{\39>r̦n-vcLrRޖP"84KՇ̊BNa;ߗWqC]J'O&'(;2di.- {b 2Ɯw QJ((#2Tk ;3NPbI \P^yy<ʦ-\ wܰ*#Cl {}1gLLicDRxvZ'_f`֛cK Ak=l:-u Kċc?plҔC#L3GƎacL|nf / 'JSF98D=YG#K3Ԗ(ىO)gY$tNK 3H+[cO!I_6{x`hudQ2g.SSTNK:v|_s\ΨXlP&&ay@*}DŽQvQ1/g9*G?/3Xm PT3a5̸ YIO،(ӡC._l9Ozm2 q!5`CB#(&}HC vL+:$͵?5(GM;`s% %H`=>c|[ m Wo)N,lPi5T8q褽,C%^)F#7m+c&;ܹe{R50:76y ܿ}3DT-gP1l,V4u-?c<5*l ߪƪ5,?S I7#Š^T:!8*X 좲05 5'!^/ٛ^:0xCCJ@J+(\])"s !&M Fq M ټ7 9Dx %K#wQ*A 5.50–fNx%:VwsjFt$S3~yEE3j%!^6Xl<I!qJiښl=` A`DӖkz5弖},;Q8\#3t5Cȗ&>iF] z|yAkGd)fB kG; g1c5N~FQQ7;VCx* ™މ*DW׋a;&%=|q4rRҌcO DEEIF a!cf$j&pSTvYO8! 5m[)DuZ}LH&,']j>ew0pJ橰ӗS0[ idN:kVsiR# ?Bx.{4IQ ~k(KixqZ-a# @/ q$?{"U*fبQU)'=yGQfnϙ{$drlfbc3,:,bDV x=On:܎ԬnS|X_Ec 7u4M &=m1G'+Y b^`5IkRֈda9*INVV4*EtN %zaI,@c,xv2Pf~hW:f˻nj8%: 3{'lݴ'C 9mv -؝sJ'OЖ;.̾aD0rf-8ayLˋi$ H) x4o+.G 'b[,Bv!YU+N MR^fzGмBn,+sOh:O6mP5dPLaB|LQQ;vcr <D`U%`7 3BhLl Rlǯs ZhZptxП&D,șwoc`tB:43#hWA/ob˝6j|c(}В` q˻-'@)p!J OrrPE#wRUIXq Q\rG?XrVgI ˖dgV 28SV0:{?C%#_.#E /JHo h*b6-VCǴ>f~"Yxb}Ҧk#U@!MO~7IShy|2L/ŁJҽA9GЈ݋aSQǴoȀ/[cG$(ct-栝(sD$RвhjuJ,h^d7<]Oʧ7TT}?TMZ΍ ΑuNi,Ca @: &f[F 2VEq&H!.&PwMfJFdR4^Lt*D^WDqx dKQ!5,ЦfYx[`AJ=/pH %F\$Q*QK0.'Ճ1J$?7|F.ZHƗX!n2ƈrryOR] ̨Dz s˨n!,?E-:sN]lFdFRcHr^z[G {L59x= 0+`pI#9,dЈqfD]b=Vᒕ' 0033lxb\tbkt'= ,6A%=1m\?9R ,;O>Cz/ $qXEmI1%ok\umkeiL6I_̜6}5+ɵ`YuS@kbJ)2CFXs>&ڱv#82e$$`}0@7kG9 z+?i='mi,c x0v $)C m Ȳg+f;6n 2Q&9|bTHsVêq#(CAhE =̉(VSrkp aFXB+(yV&Ò^'!vi`u%w%7|ӵiu<„- ma;l2o8?4L<܌!<12C60>O1.M8ܬQ|P!:X[HIG_EʊЏCfD6[wzKR1g52¤\cfJ5Di3%Ί rJ\%.\Ŏ-X 1z)^HYrs)˲>,I}l'֧;'Qn* 8rEa?ifz,VݢYTU^yRSK'7nݻvv5h͚|;B(qYί<8c)&XFI6,a-SU>"c,&`J{@ɼ[~˛6o7Mdy#w \Q3N]?ؤAeH^x Ո<؞35\S*Xdacr|/#bՏS2'eu֌yVrS-vI!{|5kJ S+.\]~ZɩCU~qE \^Y}` ZęuKNT IaR#N\mO ό *AX#GT:Ź&L dzX#Unf4JProtj'},}Mbi<<;jx$5cǼٙaLLlugє#SR2u6&\M"}#CF/PbMİVWZ)㥖0{nK!v!%(JQK_v8>lG0HHw12j]H̉yHc`UR*dVj%҃O&vT\8u tj7Q++o(G@s,I gr0e4ԕP"b rS]VF ERkນҴAK\^,o?BW]<T+NFiQQv1RNe^q ~cW5 ZF1^&{<vPlX?}z7 FV3 Fi?l h^Dpϗuj_B^qBGJmF[2N43ϔǦ]Jhρ6z;5N^GʭcfX2f܋mN`KM ߸` tya@UD bӈܬ?En55wٰk 0\z-̰,iŠ#n QwD8YO2wn-9Q~%ڶ8+ܶŊdVr"q:i.c6mLYz2KMЯBAln3RKqƓ14Q[D\MAN|aK.Gx,Jװt'L֦(岸/vQ^L0R@Y .J j<1 y-RB#z>檥Y=0i=;=pT<.*fP\7>yvH](hV / _PAŏdKIi7=KnN_d3eCPxr8})dzbFkĨ͓Yq`Zx`DJ MfU8+˷16Q- J}Rhii/)2)n/M&-0M4W2/ S3b;5 sCKhEKajE"(HQ e.&ɳ& 2SkK^y^x=sX-~@Wm~B".寧.?s ᓱt jÃ"h'`M >_xAϯ,]'β+ŗ❙4-HhpCq$)tzj"TܱDPi>p+BljG`MIT0fRGȌeD<A\7I<r3vRT!X,y3條b$k|&ퟃ%N 2b8h.(E+L+) Ꝏ/5!$,5ቊ.类{0cZ9QҾwPr.OCOHX# ;!do(^NĖX8i)Nѓtk o2pyG?C:[藮`Ow;2z&f.)aau΄(:-ވsg1j(HSA8&cGCp9xC6AaZ.]qkNh 5_tR-l E, 2+?CѱAi;P `Ef$|2gY 0c#IPǯ{%GYJe 9KZKY0$YXn0l{|HoY}$ت.z#x򎝳Sa|#r)Dܦ i^T&=w:>A-#..DH-[[an7>qhe Җ>%>tOW'OU5PD?E((mMbw\~aNQ4.tb[л*aYl-(p9BuOHB"37 ^ 73![ḇ\ΏֆIG_s[S<C$U7)bMg߾&}c-8k\FbEs|LOǠ5y+cgVfJq8h[D0;:6pnwc#!Y+6=B_0nnc±=MoUv,pxe~Suu98$yi a~X+xp@Y8m=C+oЖ}^L+?(FƇG҃ܔ,TocCXɠ\Js!/Dޔl y*K{O^9nh7G1l?w1n՗Pv>CPlwƽ3N8x$ dFKbϮj`G7ő{` Ib LI0l|b* u Θk%ilL)N*b~{wnhLoɚя_!fbrC{?Gڊ+`*2JtT97.`ԋc:%ęOSfpa]OV-Au6b#&`cy }Yܓ܋RBPΎ&d a4e9la 11 ]ZA,GYRГ9唜Z)IdqlI;L41?ggטUD!]vGTN 5_Ro?!GPF.y cTapn枦ӪPcZ)%Jfk9FR%*\<a 0Q{{!L(oD"Wqjy`8)m/gi'-Е+܎ggc&_Y,'v})EdXJ\Y3YDِP;IYjj cL54K(@H!+_>1pCllxg 6Ŕ<^u,45x37Mm-paH2b*%Ĕ *Q(dȟEA =K2UA]>s,DZ[A'93dF垨LG5(LKYM QQ lhG~zz!0aD@p#<$,jSP_rC]GE1ȱWb}^rC)cd. Q\Gb>F.Qɇy0oQŷ2glv((jIgЗ1$LVc1O~%}i 8 { /ìZdƑ]\B3V5͉PTrOqs0x̹w=ZyI)`0fw*g`0!P&$jEi3N]Li0FȴُB?/UiQMi[JjOU4XfgxZȑuaYDY5Ӌ[K,~? "ltߔqg-C2-M])d7=2K l0ecSFВ%vz}G G_"anTYt&cS_22MZg6VkHgFyNhwm([S'\blLo vyl@^8 p&x=6ְa'RbSFv6sm$L(s'%e&Vj#own9ΌH*W,MW' %?cMjcL/-3QS]:]<-?u*9R&o9UTdF.B\EcÐā(2pe;eMrYVgGbt|Š2ej*.ur\n-!$z) ϋJ(G7)ú0Jӻ#G72c'gԫyP3cs3آ/RfxeeD#3|$݆~׳rz(0 > ʐWl1)qZ?FThɐQ"vpǧf~륎]&f[ùV)#i#Q6m ӊyXcL_=59Зɋ9y3d)'wz <[4p=<2| 9w 93>EwÂSOQb PˮJ3f.epbՏB[IE}Rlu*51tcr3l|ͦ%c$v^Ī;jSQ_xTIΏ5s19jNW‡<Z̈tgvj<PM 0ADupLH[V { @cq8PcT~8a^1=1XޤZ,T"+% P/E}֎iz> aT껉|L{X{HǑ\ޗSnV$hQc"Lԗ_}dQP.Hkvnd!ky.)`Mhhm|h626sZ jTj@R2L1{_Q6QE3CT})+X,YIԱ5^' \L!7f/M<÷EXԺ rՓ-)E}k Q,UluAQ5&`ya$s0iJ?dwlrS,@Ό,93lm SAJ)G=t1lP՘37U!K7̓:Kb;=/+#qcPDၘMpH1ܸ'31.TNg9a^䓛7ion!.!Qc6NjF;n҈pn)Kg:- ZjKByx0XDDNc82QHo3x 8@P ^6O^(0yx>P(V2:CNH@oFP>tS=!ĒrXEH\S%X/9!Qthr I7Q,%kxNdԊntei)$H_4^@Iŗms!gȋĜTZzȟCKYaIj%C-躸ߊ>~{؎_#.*eNp}2 I'ՠ)I{loRԒ2e~uI~DL=CG>>4%NwUyUneY堋$L^ن zʋ.şrnÊF5YPSXL>{3]i{{CquU,?ʸ{K2aˀ+h̀&JTSW7KYPY 2b9l^Ȼ&lp0a=U2KtJFGgIyށ\_5O$Mٮ1Ґ\nd45Փe#x2fko7qE!M1Phb PNЏ11^.Rz|sr>Ɛc`"1 mB`_~L%y{= iK,VG"{~a-2;p$uA: `mXCD>Q'gL9IQ2a%Pbb64K۟N8z^sDf?E+xʁuUؓL{icL~d [ =kJ, D@?H,`M5*s-'^΂9$rNNþԉ};iOY ]MH3WP)/^SX-ζJS\݊:m=C,/Fy`Lí_ T`4(FHg}>J;v0mI3t1("!r7N3ޑ\ 6:#2w ^N>HdOFj|͋{9UEQ q%Q&5d.;~5D+09h=9ߺ같4ݦQRU$OYO/~L)/)h8Qi\`O}OcCԭHvTjwcÊo'_YcLR(Z͐+V)cJ/<}?y<|$Õur2ON$Ha6 O&SbYV >vj#g\Bp鑺OcfW0\ *j7uuSs9hn|2{~CFlٳd2dɓ#N!y^iY0H{L(🺃s*7&'2Hw߅ :bz n$iOiIŸ=R{ޕDzNHZ* 7Ǔdasp;"\H}Q?Dӎ0:C+X<Λ -HJ[tq =#Q+%֥( QkQXj'`L )qwpɑla;sߛ JUq55[MHC!PGʢ\%F߮H2 V &p̹Lϝ*!B<ӧ8mقolZuveJ1(% P2f*.xbY F^)]lO(C؇z˙Bm֪mnd9ѸiI^'ĉ,jw9vAN%EUy2UbqVdEH1xrٚ̈EYduE_pwcA:i:-cq;};ɒm Pt*Gq%b9EݸythgDD\VϑG>!f{C//5 ԋU/1Lx-c|V .Esef-g^GySL*8pZr}s%OtGnn6fD7hBJOF0x7u/Aop^K"mM6쪸9e$U]溇h7gڞ\t+ +X6X,o¾-[e G1xNG f|#)G"-u$^1rHfe\hlҳJ I2OJ)Qk+KICBX8Ϯe"cp)IH Kb B$Y)$q)~ ٯQGbAwsU74.)ܿLUK/VUF]fs%ID`ɭ'xd5|Sh@,LDi.'& N(y4sfXC $zp;ّi =q0{a=y:3"`ƁcX"tkµCdLm~k{ L0뢌e8=4ؙm]BoO`_?p6-V}xxf&)(o&- E';b$DqR:oOg4S-l9k, ;,:)I} c5't(_o\t'H(p֍HA 2>E=g'ɓM3't]D, ç`A{B/FTӵ(ǚgÆZ(a*?2Z. du731FY[Np2jh3}]ġ M8:Wn3dS I Jt ;uK5 4(Z(_;(De1G,8 9]p.y C1S&A Y9'`Nq7bT79kό1pڜ↘wǔ snQ .Z _dP&fN%fs9/}fڌA=ˎfdWSVy<4=o4]a:㽊:#$ʊHXrS_G s17ET|Fz]&! Cs('i(󝹁ܚlpוބ DA2'MgEݬ,)MGsSi2fb3f4_,ɽDw%DQ˜h11 wb`=!Ib۝K\1cbltpBю=s6:r/$B˘Rv^ɂoJQk 6PB:# ۫R<+=#I5 T36>aBTb BbńE4rS iDMgH[} }q2MFu3m_ *!y7G'X`(˙rR 1E,c-r;ۗ~^DXQUB֘RdL)W ,1M7Edlc-@#{Ze/)L:pI>GEO=5 1` aI:jUy2]݁p Xm햓`UlC+mvYJy֌\vafE!tgެEȝ`%IʣvJIih<,cv]CJ(z>"qY`68YZ̵̞k\{ y:{n)`nCXSk)fK;MpU :G0Xa\K b z:?IP[n b PE^i^ot4`kP>NMv"p$ j5[-N70;AAA>|ǍfO*Hd*]* ,!$庖ZFi^U 0q6K&]Sd 㭒@RFC%֠&ٳ4qt* 2H?e!k6Zy63'Z=(yGsRh'(([Tu)ٿǤTI#k@r @ֱ # S_p %Yܱ1"g̀wu{8BMq  7ãƲ dJH߃*PNmI`Z=Ά1BuٚxV/C[ OB4C)4N>Ҋ}Iۤ,` K^'XdI貰AR\=TRX {imm-!z3GtfZWIA?>ߘbI46$ڪc0Rk 2'Sqv?E}P$/BYqICj 'tus+?8N\HaK?,Kرl $~cY'K Ѳzi ͨX͡2E":CϡnFZC%>~wZV@?#"Jw+%`]4>&.)uv)/?pҵ_$0~eҫd"Jy7溔bx}B5P9փ1x:s+Ke3Lˉ6 ; g# ,*]^E,p꿀W!$ouվbl(u !ܬA:*(&FR"8F6\;4Li$>Vٺ($&DZL 3NI;f ':QN/zFPF*ȼ$)} 0:Q[aA<uxX1\6R]e$Uė|,#Zݛ(WI.GOD{ʑ֯9kI X =Jf3zuu"hL7$9S^Uf/uKT5gݨRcq |'v֫0n"W 9+UxpAe#JEM/cr$ 1.LQ̖ge`4LWEjBR3SKQ3EL??#QE)kT` ck).^3q}?gaK254XE2,/XPHr=8+OY{XKzfChM'cɭ<-,*"x88\ D-3a%qM!^XT)/RwSɸx8()*Bj';o5j=NpK#eEYx+==-%\zDzQ |g Řb\ha!.2uEC_w5\- &occ<^.Ep'hgE.y&5aP*470*Hװ~I6EjPQ*V:ghgZCAylDªa rԠQOa∕"9b4xx?+qZLDdVzq&GpIGG͚Pں6 %!i.,E+Aȹ)/TC7swn@>\Ȯ1Vn;sCϔ$rZ+M͛_-E.ߋHTl3cV F"9ŔIqR([I ȓ [)ct1t֐H3pwݍn>$'Dh!5u^UمdTxF?b=PØ#c\Yu;&3ћi&(8őF#Rp&@51gɶP׈* K0uOPv@;'n!B[LkpK;FD_MlfTu"4R)[?"LS\f aWUc<`򯹚>!ʾb)n$EPdYu*b8!"$k6_+{vNI6F}c4<7Bkϛф2 2MGXSYX>,3vVJ,ȟL7HS#O5*Ǚz?elK98y݌Ȫ287p@[fD-ޘs} p0pR)"3=x/ ԪwdYqTJ͈Fc.-/f^gg+GgW8 c~`*nHBLf+C!_EDJjF9+4j=9qbj4]Lp@th$`?Y؞J(k, % lJ?E%Q7ָ"$]RFFk2h'Qe{ ^%(fti=nM+?YJcgGGH@bc`KplVHYC,/bs&LJjpCx}r+Iq`5*H-DPJp}Nmtc!<.d&О3J F2Cg# !<pi`z&%<+IK1_7S&1 7xFYىH8vW]DFmpwp'-7G> 4AD_FW8\ *J ?8a4Mnds7)j`龜_CCbӐ=HO>/)D HXT0ky CPsO+ >5dp"MM IWK>R[sLlYuN_='m?=i$\dεҫZ8Pv={OBvt;P3>QP" 2U\ "a3J48' o6I&Q):%8MH^&5K̇EjsU]O7?z I;_4bՖ%B7Cy=y&)RPCsÞ 44G/d03h:-F+raҌ}_G=+LD~L.9ta聏d S) XA {FQ(yƽ%-y?Me #s 8xxqfhj,H&cG,tؒF} +fr aSCг:ǑBȋZ3;'Ut>Ӥ8 E}0Z)eYIA7Ө}[FeocE^E+#c`Ghz j;Di#mA@!;' DCa R6}`;±k٠׽a&ZFZyj N׿JoO[d jq̀ᅵm;B6p z:?1>8-#Y"yP3S-gL!DHؑ?f<xe*:CcpE)sF86'/Xgϑb'iIWh&XnO" 1a~f{9QG^jcߟÖw#\Oe \ ge 2mLXܒEXj?, 텉XxՙJH#u8v$?WuкK^% zjKSt $1"ȌR!Go2QIg0^kۆeu@a˞{x0G7/b6 )®KzXggC6t3eH a֯! a@2lڞ1̏аIYHdiEČ$4ÍH;G1سmSǙBM~{ٙ2ıdEm|nwDgr]5ՄS hB06ғڴT-XrqaXO2tʁ_U_˨!FDVt L!MfuK?M7ffHn`!}=fp!SSGs*am!C@nc>N+] VGgzo=%_oL3^vjdѦ<€1 '7j\Fc^IӚ'`RE[pEiNh=3l):.> T}41_ߙd f?65PS3|)j&Sj`EC +tV\]hroKΙV4ga v2Ei(֐T8|zJbU+xٷKIdybi(`,}ޝgYxZqzOk_ȯ92x5w (l"((UbE 9Px ` a¬bU}?d/co3e@ K|ET'q BEypǮ|W=L}VA"# !DbGd2y [HRLz\eK6jSi N;l0=ڨ ҃#+4Y!3n7: 1Z=J^(i9y91QuC%+b1i-6عBSl3VvkZi#+eǚ1BHxtɊ.$._M#weSv=6+:Eȷ.>dUbނ,b/hORz VvlhaSw((RdWJ@k[."G*;]Ea9ԃ9XS(%wၳ0gٱ$> =tm[^ReX9dt)V|.iYRX&;lšC(˙ KP,rՑHi,kzN׆MuQ!9Ddc8#PkO{dKfi\Wl4ϴv\pfOX/\ gR&pZ]SAM{'UtH3oݱכ=?1{H9]/c+TF 3<#nq}ܵ4GiY "!Xs7ecI W:3d7rS8gb1FjvcbF`YJuTvL) ,n[n/$bf'YT~yo{@ACJĸYi ḿbंDa}=Af6;:2ghCU}Kڗj `z#@R,=$31 2\O_g_2+1A,(aǏd- 0Wd!` Bи~)ݪ!`#Ŋ&ʼn9+zRjy*+?[.Zä|9%ܙ9aU 1AT#$+9a;!4n+P}MpF"PF䐄荹@Š;yR1&T|`#zLrƱf@xOa:[ٖBs oBaZaO8UqZ.eW[WT Iϖ:sRDYS,i4AԃLM!H.Pa㐙wjh,D@i"Ў cW.hK,&\ U5P#kD58eF=8BI!^-cw)è1 NKnu_ˈ 831{lRr[vҁmGӎM4ri̞!qբxiZ%aP:2۫ƑȷbTol@ܛ.WÖDs۵.X\T-ҾB!+XSgj pnX=W)"s w75 |K. -STe c# .ESE2oFk*0vR琫zQr(Of)b4DW%9d67 G X@C'AbYœe!zrREsZf8DAj#U.6Lr ucA JK);:ǐ_ʃ5!x-I+{qDO%EG KF%C—i3-ŷ<0-[2 WbdHe^Is%KI7C+ˡsk=dm ,Cߠs/ķE~Ϯj󳙢$F}2(} LKy"V',؃_+Bm!)]윻%14z*#%Af[6ƬҟYc4 x̛zboFj}Q CLaU1,?" n&DK(s'-˻ogӆ2%o5Z|$4LH1uAό%K<q09&DT׿fs%vӄ@Kr6@ ;*78lZa4IuJx6kaWe r"ĬdD\p8=drT~}:,n7 *'fILRqᒌm]6FEhΈb߸NO+Gh2k#9Eizn]`e>.ÍC2$PBhB8)\ϐVi(%/4L9 1D]a8_ZەAu^DBh_NMi,>V|e*X MymuUFʡx"1h419kx(&UKN&2Z6l"9[&20pvʓu#ErT8;DNqKY: A7ʊ 8Uէxi$zeQZSnxa%P.% =;IIcsMC[HM h.$ޏ[X֌FU^LڰJhQ򦪸wO!IF{rӵBsZ2f++)^cF[Ire_N.Yapjݺrsq7_0ug+JWu(ưO/I/Arn&$P )ї`H?9<Օa'bϏoF֣Mx\jI俊b2ޑ/_yq9Wv| M]60`3cx(|.B,[,fT Tf!8r^q؏*g;xŇC[ /XV< ( q%Plbsf\`ī[,)O#w8}.)]~0`m:h[^xǻ=@vт:Yb"g8}rO3WWMo#:G1Bݖط$,a$^ Ot4'H8 H'qjO&i3>xGAHhj9v{m5d_bZFxG-<`NQ_;x^V.3 eT?WؿџGח=E:5׼!]'ec<;Y fTa"%d_|gl%js:s .k(Z.0%yVq\D ʹPqN:Ǖ< p=< QR )V)5Fc0jri0=yrT4[*MlL?X>ZKרetxz r^u2&bmGG sXnBy\MX6/zѴz|0dөr?G/ D||qT'y,(x'4ngkDb NqҒ~/@„ ڇl<[#n@}ZŦXͱٛg;_Ski "8/HeHޡP81SVgűj#A{$aX l`$xV䥕2}nO&p`?7'8OqJ=Je<ʇqn'w7{s >9>t"0R^kB+20 +ƙ gPގ%yD< g|d.'{LYv__Bh|~E'-gt`1@ݺe|.0.i_X9JіX -P Ki%ot p cG"=Dgf!4&&&oAY}( P+#6_v*ΪoXz`TZPʼnOVR~1`\Gjq7vͳXGC^,)l5㪭,Ln NyҪ1现x;hӏlfL1L5h9Phݦ#vTJgad[xSת6+'9<3Yʺ~Ӵ<Uv,O~q;D.{3 7m8'kOMdO@~{|U<&u0HD?b>zlW4!S z-8!* ,;֫ -G_ g9SD<w.3! q1㓜b2"~r\>z=' j2̚;۞0%YToƶo}S6;9ZZunldNo,H#SI,F%^)JM{]Gwד s ~( *q`ӌ0fv~[Qъ1`K.ȞQߑa-f6b($6F`EmL>C&Rhn,0}%+:"b=jIxd0fg:_&[TwL-ݞhY3`eDPZ,9o4:3{D9~3ǝ$4^T{xeUj_ /%z#aۭn6c8rG2gSr/'V@] ;_ n;p,"B9&ȟb0gJs&6Ѝ1US[J,RTl}_9{9SLh (0]cI;w SL3g8ı_;eN-kDw~XN{tw0`7a?'Et4q-4Kڼ"i P,J08b]f2䘔J#)4g>Ni8I6w##i]:.㴠M IB^yW`T+V.WY|:88pt=e=Իd:Ѩ,kZS\{8D;ؼh˳VPc{]l|?+MZ<'`;e6Cɥ7{B8# 3"BuPZ Μ /Fδl/nΰj 2j1"֣ HVWˢC2.hora=`3%29."׃JÛ "bc2cԉ`D8LSsyqydK> U Gꮼ/pFI䢘@ zC2qٲcDX #-DKAZ2XN찅$lx3:G,'>K6W+!)ڹ Z̛{kޭ_`s(㏯Y_9<ПHI6)]DjfZ [79b?9&FL3i!j}[F=k&aXG>/=o>R*2R\1BwA$ .RɦpΡ+Nc?LXmƤ!_u8 xX$ mH ''S|tcl:z7g8K[퍦辏EW6t&9GF^̈́t9]gb)kX32cD}HaI2Y4΂z Tc]qQ>N3{>9L41`W7hqOƎgшܐDI$P~ZQұ}+g&#ocB /S~v)1zOp+Q+e-2[@$OERC9hNCį}yGxpյqvʹߩ _>OR-B%hq>0G XeVIR@gC(oC[[,dVdf!@¶xpKbFrSt4T)dHվύI8.wr7e k?W0IֹB[H" OJ -" KNIQEmwL5_:?S_E?5J9dM0@Md oL ڋ9i:M3/TqMQBDñzZ82/W aԷUC\NU:n4|"hQ y/]<17e#`29){#cD\"OsLQ~?& h_3N=R4$$sc!xQP"Wb?7j[O>:s/xAVJ1 Bx"V1d &l$.2h-q ,+"'. H$FdÌ[z<&jdx΁F*vb,6»A~X&Ȃ~R;J=d/eX@ɳ7PDr9qV F#)-=8+e}ǧ;֓D7ĿF2$cw%ARJ:)ܭ6,W#Hrb"X*3 CV='LW|ӷS7܍0$GA"w,,#H!sR̿^͠}2$)?GiSjbw$2Dݟ^}"!; w18( ̪!J[Qat%~EcO+ƨb&p/$0lVZ~a<(,4t1{ˑ٪ 9_8%.NgBfoP1>'e\-o \ 6OO,^+`OXԡo`#aw'%Ҙ=n>/!冾 O`.D3 XVi>#o5~#VƳ$ݘ+V?>OP!xs7=Rκ~ <"+{ʉ-"d& )Icsz LJ3> 㪑+v'둽*J}&δcƙ$Y2矫9MhOj@"7n7 jݿAbA, VV뺐2~8vOɲ$KMl:7rC k9Ď [fuA_ld}Oܡ\w7!g%-@1«{&r\lEp8!nq$PhN"_<]:ڥHSVWtբ >hhr?E|$7U9wbҬQ3ɫ0Cخ#.,17}&)ˤ A4L*ő̉v/nVqDXXn$ȟY$O~v<ԓ^EIHzYK=*{h6,qJnWƿ7vZOsRDT΍N=G.AA;4 {;Bz&I+]?MO>_4`a?|r6"C #or'`w ɰ0GwYPK];[b]Mr\&Nz4E̫0;d Z)R_4Uo]bi{Wқѱ( f_P=rg47(`p Bcĸly&!7(J$r)j K<[<[Ja-q˼`C$9;p/es͑HhYۙJLW@48kC Cl<-k>:t&a7QBU?ᴹnj%>OǗ7h%PՑ93NkDJW }p뎌8e 5j ?֜ofF[&U9…YB{SLw6aXvIˠt,hZVA$g"{i@SkX͞IO+(d&ZF왳EBr0 ~N <.CX GWtVȜ5xdLezLcc oYK՝YLG/Kq2gF |#´AE@Ѷd/`\@@r!Dz;/HUz׿\k{E 6]Cth#E3L1iAIJ[jT*ha% ci`akbll-qSL慓DZhg6*ӂTNឥ/3Gi3/ p~N7Bd!{E31c<%GlŚ!6 2Uv}|䜽M# *:ap!3zNAO՘NӘmثpi͈?D4'ico"+x9nṰ|DaJd-s#b:&uiYD=(佌1>[]Yeݔsn+wMy8ǖ&ϧy"rxMľxPOONgFkws/"VeE䦰O)_`f)k9TVlo I5rB/c2Űj w 1.c =$ǔ.e$a9djdŊΔ= ܓH)1CVUn`%,HT!&úJ(APSY?b_K{z0[g񔟁Q2dOC6DhBb_Q;knx)H1 GoW$U4Tq \Ns *Lʹ Nw3u;JDcEњA"I"e'㍩T+x[cz45F]M%ԯ')GDUyx2W[bɃ0{ڿ\.]3ċΆxx9>XPahlrX$1~03O$i$wt̆ox3cEϡ2`!DH55̂!R! 8츖nfwe %;ZR卟Ǟ1o/8ACB|\RW-~1DrTW$PŌiJ E".iR@%ᓤέgF#zˇ5kGC~+Μvpw"It&dsa*H6G> *+D Y/0u.$f` $X!3/kNZ򾐚& j< G c!vcǕ6 QӔCuAO) 00>]袎nW6ޑEI8BF.vfv$T n1D<53Cy-0Pp)HH.E< G`9}sfK<^X E.bq͔؊9 gr;*hxF0E 3#Ϩj bIw e{Byu[~e]n539: J"n=ds7̣ [s0&ɝNCBlC o1ETC~d]LLb%Cy){O#A9ExFi rHM 9 S(SNP'9wms%^{^;pN~ 򄣘K!%58|@0N(Րd=SL'WJGL+MD ef|s70ݐeюTLMfFR|֏{5dS$0#w0ı]*+g3^E@vL)(I'ˮ\J\ȬLx}ͧGvG#RɡoɐSFbtZf9|36^b0ir821C>p-Cp2'XbL!iL8䙴5{?~lj ڍCzb?fD\{@֙kOQ&aIv(RL(0aHwJ,1YS Tt`9D!ُ'^sMDJ}bn-қ;U|ݳyIR5*e|"FV Yԝs뒗 Q佌CUIz.o'Cע"h 0ĩlVu؞B:p"L+MdOQz=$ D젚Adk `}21tóͺq!Qsgz(7&RhBi=oO?.༌MV2鎹6ۭÕ8ȊMjayr>Š:T%LR3bƁRU1rOP$[h4`\7D^>o#d2I}Xj7m`k5}7ݟWWgc_1$A;w̔BTЌOJ21HsøcBo)zݣ a$"a6u/Ҩ6fݲ1 aEO70k0SaWM>1z͊ڧ.#ֱ3PqSҗjxGH? } Rb:猆ꖸj^鱪5p~1B =O% j=6ޮp|\dlQa=C1^o fO4SV[_1Hi Ae|-9i(/ ErɥdA}u2/+^LIw,Lh<*ьP3qFp-ř2)'+fRKftKbZbEcn2!0 W8E!,Y nY4&^š8E Ҕmܮ:`L)K!vN$UJ]>}.O*J7s{ǰk)0i.4 Y| ğev 8ʣ2Dk)ı-? \f b6'b:%q( 1cBC9?bB0ba$WLa'V9 y5cUHҘQǥyWWQ|^FlB(ʭLj?u+La U*8j0Ɏ~)f\ c/ùr)s*[K!MX]YE^(ꖡ, y>F{!E )srF4=A y!v*#͌ydЗ9cyf1bg8Tc&Aų"&Qch/$,:pWnG&R &\>$`őE۶ioHZ>n=2>qNmJݍLtgHW9p?"@e}u2W' C0d2H" 2 7fyrVKr"Py71kM3*H6f91 4 ߁cі2Gl}x^Mњ,H"ʼFρ.dJْ/xS eӮL%6nFCFSҞ }=$X:YK-l도d ,w;7ii p+A_?ԫ۱S3Gɐ̛c?divGs4uP6SHK;h{#ű(d󾍩f^03*V#15uY g@ƥ~)L4c\t qoHx~ğN53KspS QP|3߇;ScRhd΅3W }䫩PX/8S%16vr`.?:b&ka^oM!M'-9dugؽa\XE)ũCiJ.Q0[}:#;}'Ȑ^38ZLl h;o,{[c)戀>@'\LJiNрn-oD茽-S# 겸| FW+T]݆P)'YTWaKv;pLjt 3D9E<&oac*w?nA}5Q\,xrDӓQ]X$t)`ƨQ] u S~v da5OVk y" ]틆Ԫ\tl*T40GwrhLIbǛDdTǏa/>~):תqu~^L u9ͶX׽ Vk" !0$u&,]ғVJ'Wk w / Q/ZIvS2b-)4[r5OBceHSq!]Nx禭eqomL1 qdiOG(b稠ɟ7 /vUH)dB| 2K e('(iɓBEyT܋C.]H)OI``ԁ+3D=x2s336c1eYkyNᐾs"m. FH̤Х1'[OqL8jjSv&d*EC|T(ڎ kj \z1kbF5^0E3󠹫FA`*O[!ʡG~/:1ϯ@{;Ϭ +1‘q tqKV ADa5fV5? 5,g2>@SU {"qtT$#6,UpJo9jouyV(q cԘ.fHKB;g3[2TA<.ee;^ZfM0a s|q;-j|T=,ҕY?l lp^6=|F֍D_R{ZC.,ץ&dnrf%iBv懺;@0q^'LLӗ#>X6c%byrgYg\,Ԩ[Pj6#?i4 ,B#fY&ioG깚*#D#ou}*D"1bg?'˔aD0vpc^gO`s*cw֒S 5k X}Hg1w^X>wnܛ[-E3c4O{=cu3(xwWǂ?Qń/eIW6㱳~(J9nn6 #g-4.)>f3_ }`s: ~x{dc3~sKaӞ#X &ecyv -fEN,^H$ϻ*CK†WDm nQty#@P4G7BƜ6}fOaXx0QL'yby/2TfA7fD(}P/muԟݚ$7#"odY2ō}2 #\z0ICLʤ&Xs\=A@*Gۉ1Y_B87QX B=(fA,nZ1GS+ ;$Ŭ_ "/fV_yFKஏ $^O+;75|t~t*|WzO5<-drnԪT/QU qEM{ȪUnžƐ`(=qTMJOs1L{)k}HQ³b=O4o0V8u>ObM´gw}J!| MARB)5Fnrc zWϢj}≪/ 曰|KtMM*{Cfc?X'g++Xǀu{19Wlui&cS2cUӶhF"h]l|4k{c )huiL I_s~fG8u 6x_iޣΦIՍU6}J4٧[Tt,EwճGB^̑<%'߶Mcxr[boFRMEJVĩn]͒p w@:dqýAvvؾԕ1ʏdH;-,NnDU2~wcR򎰳2"_ 9 3XgqefTTۓdsWN͛oKq~vh3_.|x \;Q$xM:v?jjk>{ed,,lz~0#`umU~/Eoq㬹k`Y"2Q%22R3w&g>C= 2)SO|"c;;> }.F85|ӽ]0eJ彬QW^-/v5Z.D R2  &V0bzOţIյgHJ. }8;J8OeE jo|הi~OAb+~{8tUGT0Co9Ԟ| Ҕ4zu+Wꡖˠ\&ߕ잼#w:G7} XшV)n21 \q듚cg {)'c[:1=?jViz:~\m_܏ o3֢^}]RxDhW G湷-܁@Ap6w릎&㒑5K_k Fk!{MMjVȜLT­eREѴQr 5|jd U*6r)xKiͧCt8/O$DuZ*[(_+ɟ(Y;EZ(`eWUs6HdՔXWתaNB3?벶aZ Ӫ%.UOw+3XT>< odi+#.;[Mv\%qq)gv(3]0ä`K0Ww{ZrB$g }}l/eY\wMܬ*{A:7iL_^Ze5]LJ#]qagA."d/}&1E;w/ogT* TYå {';4=awbs'27%ss_q ~y+WoQlc1UbhtNىku Jʤ z¨C@8w%doX;ZE'r3]ˏ:Xξuf%dV6wHMFjpF} є@pw3dJ#J)4dfH"0u-}K_z~B\wlu|bb>3ꅩjX{}#QR"GJiel}4Lh +k<\ṡRe|n ~ȳl 7STwCeF#EkE 6-#[1#@so&`gOQFgWh$̴,ޫD_=g?*\,s{9&w+B5qGb5n\YHT]Qe9(,O  lIcyf*);6nR NL5cqbЊ_Sgbfp"8prE)X"ߌ[5yQ.قVq> []GRvP\.!;G|3&b_;;39rI>$WwVB2Llȿ[lȻ| =TAz&NeK$3s樤 {*qv6eN#jK --<^1K87 `UcDdxﻪ&n4bk 6T!&U҅/vq_E^}!p6"aIigE=LȎuK71Bk33+5R!T5vg4|PF~y= G2Ys1<)_e v]p$R`1W1bv4SIWpZ'f,QF\_mÄhyOu {v IMY=ϚaNÍ:1Yo*`[_&t}N SE,i ]fD2#/^s61#c s=C6KK$9o5[̉?ft+˝wt,8fk8Ǩ84#;qO-+`;GP` ])tKXQ8t"W, J9q5#"ƜB 2^龣dcrur|HJ3!9陂T-I)HuO- b02bHabbUM)%p΍5}Հ#X%iaK@$:wh)FMQN|(EGz𐲐$ș:)<$JZsKA^-C7b4xA 9Kӓ#.4 ExR1WjqGE'/e0[@l0YӔ0meO!* !0 e$)iI:Bo RȦ&\Y,vЮWZgr͹ t2}KFP.Ϫ.fӒ'(rLU-0㡵;ؘ"CpPhBe 3U$PGQ 7 Y1DKg=*RSu%HG4靈~E:,Wh2sQžZQTzv' "DPd\7X!1τ*!gv'и?DdJX6(5|U@q\TѼ8 }ʒn?ǔk7Fd̛q:D,sDD)N58E!E^B1/n郄/hk˜ҞDGw-Jr8h8\Ō~TӟP|Rq`C̞NB? CjMqy6!jl`J+a->fĨ0' ADrv16kmL911#2890Ec%NxqI & .SAK\ m%!ġ8Im'h} d:*DzD'țy3C)'KZPOaE|_8k,фeH.'qH8tak"șNy>=Gξ)$=݉};~Wmtg|BFI$$XF@& a阔/Q75B3XdQ!q3Aqɟi# <]q|'=}GzV=ŘBTS-6&++%Z&QX;6ǔ8ceMԤaFBra]ОpBhOAM j!Ap mГ6Qet̤(d!1RKvtiFHme4*$t}3_t>FE):410#7h=( qwcflgQ2€2=$$) oPNdӴhyšW+tAHq !AH2w0cB}DҀBN!,I+KеQҡTIRJ j>譛LCHDU•;)w %nG?HwVr"HeK8~BK f nej/uBdBώ)P9yC^Orh[!D$1 tG XyKzU w5 \oHc$shyHdlߚG)+I@K,g,Ix\J;IR{&,V7)=&6=̟J $R\8NNҶd'!;YA'Nk=]`kFZ&˝V/sJVF췅CaYy2"FBBBBAAA>|^ x.=4PTq-U'DR4菳͊hDD=#WR7fW}!c0r-.ldT).MN-+Hi0I:zKt$FRLRKH󯘐ϥ&r$6b {R|gM_ܔ2u?.L.,7EjZ mثDbjGe G^p&Ės|I 9EMf)N4f[I|*g蘋h;џBhK/1ʄ$rz8>>՝ApFq -LN{G✆\$K$NF5M ]ifJ?i|8ߓhE}\\ZWbXNZhRtW\ȱ]44^QڳҢ 8Wu ׉̴~eLOFfY:_Be(*ERw?鏁 =dh'x3yb$hJ3(/Erb?E1?Rl? %&C, dK̑@ח|vDvt{JlX1:gnk;Lr ̛?FTwYЂ02 #²O:gD !@m~TskTz9J?66Y~HմL4j"aL v22]lWdD HxF_AiTv1D=MB2Y.H:HNЊ%ui- aItCBo WJ@; ]%O/Ӧ_lWUeKr\ L Y$uJz%2 has#:ƣpX>e`/ʍ(E?HaGpʟ)K:dtG˘7ФbF b^2dxJHjc[2utma&0O ^%*gPGؚ@dog[%=;iI9 tOժ@&ݕ$(׎ M]փg*btR%>CR (iLqM{RUHb8XJy$M9*N"aS`ɬ$ΝdbJϪJ%E򜟣ß8mԎ:>8R_L( yE0חC\Fw<軻͕Q@ar%gAGK7k ̾"A7%y)1H{p6HY՗ ɕ|jIbkeD2 {Yt>!':h3bb1*϶]1'_f*)Ce!M|TD`ro!,"de&W +MT82d3! 6Il+3@S0<,|#dG\^ğqog&ǘS. -}=R/7ӛl.u:P _)FM:x:"pok&`WF*a| c$/&p-a,q&k1=!LE\9 5|F&YɎ`}Ā;dugYoO}WF8p˧$M։ʣZhBKD|'lcsf D'!Pm+F23{i7}jއۆuTiAqg$tA2ɷ J2G@ eymȓOj֐7*lpj؋aGL#J :eq #@1:tbmELJDm{ldAH dnReP5VcjVF#L$phufkl0-O}&&$exQ֡FB*XW OۉW׾F[FG8:墜Eni sE4p\-#mԠ4ёka|POMLi<l\gM`AvzM3jt!!S'Ĝ: &'hihBIUDl\KW.:U2'sfȻ$^zǢ *řNZ=L%1=p~9\—j8g` >N7\q|:Dc 19e=eTdƋ4G3'KED.Ft|wDTQ0Q+RbIL2;$0&b0  ȌY\֐sًDJ]|[H_8`VGd;&T L_\'}EoU"H7&_/߸'JOuon6<4Pj@PEa+W~|n|M<ҧOp*' <1u\qJ_R'ŝw3j$PiVf8]pIgc3ȕ7OIdL}:Vf9B$ȻHC`GBl,us ՔC0&~ؤk,lFD6z?D:u'v j bb4= vs+g~U^R +&<[YԪo*Cs/y.c cs)>DIZFjq(Jyn~x\)0b$ {p^ED̅@AʍŞS[7G@hrsI N뤢Cxq(b;db2"ʊU@ՠª_q&[=-RM$JʒH4gcLny5Dӽp6bR$^ JƳ0|d(0585nO/4hzCJ|y+4Ϧu;tL#XFoͭpM} ķ!( /DI͸0=sŕxaFlƏqfCV&zfԠQa8=FUxܞ gWAS=.0G~+ΐ !@9ҧtOs0XV7\d%@RbYaE-Ő=%ʙ˴\nȺ>T6"YLDW`#O>:^+ 1c` v[35(y%T2t,39"H"ZbONUhŽJJ='bQ]}(LH<42` A,n4Õޠ8wɼ xל>|$fN>?&\KrA *ƤTyC%tZWr_U] чdO;^b~+&1?xU`FfK7UCshO LD۹W6(kzN C'=8Z(mM&U¦_!Hx@+U FI&LaO*HBУb!X*Q_vѡ/I7^1( 6bu&`l"=7qh8u>G5iJɶ6޻0?B\H"OGDF/c(bGj>D j9coy}Tr ^fyسۥOWq/!^E" ̥bEy{g?h<5cn1.ΞHBP};6K$V-dRmdX_w+a'|U4A/9!K4q't|x+1.Z{I rnsHav[v.ϮErNtGSڝME@Bm#L%ƅHȢ ؤR\<d+y|Y_#H1\]űW~Q$Ϭ(6JD+Rvɂ#/*g \gRK 25/.B!Z R2d4QW/4w џ!_&ouDQ=k:=){⊪3)A&5x%2Xբ9<nh/4Wy(RD㍡?(eێ1/9]Tފ¸4~I*hDyP>ەۑ~tc x6lk+*t IMh(9jeFve."hLv^iE_'Bқuze6SOCD2)X̱3(r(D ,Ahr\qQmU/1nyJヨt[躥rP?1pR^ '6# Zat7Xq,*x$ҔiDMQNTyY_rElO_>4OM5q묧eHR;ك)ˆ` zC|B-<]Y昰!tc}/p _;4qXJ9|x٘Ā*˜@jΑE$\~6,&e=SDqĿkDž^ű4yIq#M.UImKQC'*Q"5e";_W+zztʾMlME#33^UO|,I7›wv7bqE3RP41] Lq?BߦަZZ#C`qSQH#!}<т:KN|-'2!!3 hQuނ*¾xMhrRP4q);MMA$(nY` C(!""1/0e/ԦZlqJ/e-^rv,Z(.|“ZAK`]ZHbfI3oлxt gz-cxsD9Ga!ӀchKp NJC3$DĉD+ƥHEy2NYBʦ1EjrZm)-s.Mz6bgT rZw%Ub>Dnvg 9Hsה!Rry`%C)%5I$Y9ma%8()2!ӱZ 6Kd9r\]@a&'cyu蛨"T"|drw&Iwϵ0ni2= d1*ʅ)fӎqHf,^Pq}v`LȒtG֮Gpplǵ;YB1ö{N>'BrBj2'SXPIp4oF/{*G+bhTĩ`jTQЈ3%;"".:w`gg_yyDM4[孽zoR p%Gwp>#\XšXOZJauo!j*#?MX V?&W a6]ocjKv}2*!i^xr8b!mB1~9qM)mS9Ú-@2:XRtxL<O(5zq=Bg!A589hC}3E&ˠ20F\5W05x ]8e]A-կ*22v&3:ǜ P^{#st)0v08{5K jַ)NpeV5F$U {ή 5TT:0ߏ,E \ ]Ȓn-/ y!szty*|-\Toƹ!eֲ2e8_H]+i4UR.פ[n4Eć!PkI@bxj/'U SK *, Q2Dihmr0U=>kB7ɂK"q y:PKVF&aVgDʔgJK/LEnGa8b> Y 򄹍A1ԤJ&ˊxE3G0 a͕,/ 18 hwIA*@gӜun QMیv)<\-^n[kMnr\oQ;q!rKE@;M]Xq .[ًۚAWαVQW9h*w^!<ɭ=˼QWgq󚼃S6?G(?;'n "@`pu{,Dv0Y,L=b:!Ӫ-BQwoCFG&D@FK'ΓSBLrxLYcqj N= bZT F忞`>a,!հ+VRC_5kEyUE]Z!Bj8,¹L_ aĒglHw8 R'm|JLD_dA֟#\!\qMV-F-C,N 27n.CgGh>`"F3m sV@8ml@>_A>0$WʈA`}g>u?](/5k"hL)1?Bȗ@cŻoE9)|/!hL5ӊu|HQcX_c2$Tn&&F6 !Ϧ%(ޱkmcf97#O?{N\X  5Av"9w֝r0~ddJ} w|Wp”j)5'w8x|r[m˥gԙ/k>EH5JmcA#ˬEp28ibխE1v^ vA.uS2NC{M#,ݽ}d8<~VP kL| SCDa ه6TO<D[;,8" uFTA}H1$|ˎwyWU?KD=o3݁'pLډ`2Y36Uň"B~J2IA9[C}@T6@3 .J~v!ki)rN',MWa FlQr,6$RԇTR31pΑ۟r( ~H"ts[!. Y/dٙ3qp24.JdNdD*&&|25wJ˂pe xDh 6Co1uq T$ks=ܡI◐. t!ZL  yw!2WT`k`1]K3\?-פwq#eйF7{Xp;-UHYM!ޚ򕉦6F{yZJ:;xVzli{QQH#] w;ķ=ޟ1K)~斁PV}Jkf>^=mRحTUL[xbvF:bɅ,8J0 ~=Q=%N'>Vl)T,[ߺ-!i]-')e64/B @3xlJ3sGFAuk8 wCN"mW|G=MOv/<*Cfv18ǎ`/A4f>G;>]3Cb:i=@EҸL8z܍d%L1)=WNjvg2u{dN7G1p.D DF?tߒ+U;ΝHܗn'~oz>? !:`_:IV3qк=mLʼۉ$؂VQ>DQ ~5)'bh8fǾrː.(BU^Rp%A>B.Xk,9/7ҞQ?Ga}s07#҈w My(|fOƳ^Ϸ۔ KpAԎ#]{`Ni}ġ!9ֻDq䖋5hyFڙCF&6m"34`E= >}q%Qӵ^ń|],;<'AʶAHXN|甅:$1% MN;QǝTQjKBF4EHv폏 ?[=q4)]<~ Eط,K[>ul:ĉ2 (qed:'t&fA}ĤcX!q[D x}򟶭&q-O{(H\9A8Du.~&4YB>)͈9&G/j䫊+ˍ̠COq's߮1fA _&Xl'|';Q,^\Jf;"V3ˆ`"ͽ©ыa Zy# F$~O[/ E]ѹb:(֥rۋz\M(D ˙qo"5,9#e!_tͿhuLqrɞ' 7(]2Dy.oK+Lq4A3T$> vav,wْ,@ڕEEN0Zu. g*i >HE %n: j3'A܏i:zr7 *&']U)cyKnG =,CgyK'4tg+#*K*hʲEA!;ckFC!Rq=x_cL>W`j>z?r8Zq=Iԇ8.%h^KSc44Fž`bnsGhf0']}||.='J! U|[Q߆Fvk"#{P:Er8Q!ճS"GA;d yh K)Vl}|!:aefw7H<B&l$*LfFkC8NNęIw7 C8Z&ImN U<#v+F>K(]˱k⪜Lj\9a 4MNnΑ8Bγ1c~H1J6y"+xIuyt3x* 4#woCVc;ʼnXS ,E E ~jB%% $$~*18Ky}+zA0 H%L<Oy^4ˡְ9m"p~l/ 塼!2ť YrNrIJNdUY\]a=8rCV CRa3p1 Аe?:ݗPoӫ! yAoh#S f)O kfz\JM< qee,9>bĂvLi<\>4m޳n0x̮si`fKBJIT-9㏐n|g+u銺i+UOO_c\žs 0 W2p!OP̨bZrA`e,d4ih]4RTnkd3BEb= S[-3[l;V8|M,іN\uu N'`l (Ia:FP7~ 1ҖdyM<ΏlV4?cZ#+C7YcFF]-ˎ2]%$z1ݞќpd1(IC[GS¨璕BiG4 _ ǖ\4xH4êI8}:(xM#]@p54& Nm8 3˂8>I"| 0ң1(չhڠg\F37V܆ T>BҙqE{MA膽Ei24ה؜.#RN1Qc& a `VLz^˧A 93&RX7o~p(wfŘ#Rp{Ct0sT^VC(Xa LOqA_&M Ѵ3.Ǜ(X/GՈ2R{掙(^TSpve2PFҡ ɔ{3CnͮWTg:^TUF]OGqO0mg?Me> &${]=#sA&5h"MkRfG,3x}=ƨ&Ed:h vTac8[BћA,-TCqV"n"{֝ګkJ+3Ŗ&G"ij!RhA˕x#_:%,c r4(, /cjegJYoa> g(uaVNzcXj782m̖!t&ecت[ȏOc*M@0y5LxSJ+4R|EQ*T)$zIRR&0h20 zc;#&Ӗp嘲tQ &l^ ϶g50"ƙaH涂x\8[uM–;SCo`^D s6Ldta Ll\Bkɻ~ |3N|Qsu%_;FӔ1.ybZ%'=@Z9K3cEQHyz^r6aoh0]~s ћ#lKb A00YZFqEfj .'gH>crMy&Fg0yL% pб}+ϒ')JQ'^;Nb酂".zL/y^ev H<+}}8_ۣ snFVٗ YᡅϬgkHm#AoCtW+HX,0Jg <⌏Vb:S\q6$Pj$}NgzXD#@X3n,\V b\%^g0yktKvsO'4d)ʴTj[2^~ 9'RgKHN?-GKOy//; cx&Ƴ1L#?Jm S_ c w#fy!"qRR4"OǘD(3rdK X^&'d0x堡&dxgk^LJ0hv{aIf2l9u$Wdj;%t[hs˧(0c7)07.ؗWO)њ|0B $^c8༘BPîv*z>n^S(K0ɋ#DdDQA{7PZsL֬l.cOuJibj a؊ 0Ѕy9 3cx5.tzc@Pe408HFxw#4\=)7Wn R.2gr+2,UETC\`'He&Ca*Be0gJzrD2r. 66<0qnդ:k" k1Mr:C~ 30#+\v_ !;5DhՐЉ=z.@>Y?G5uI nd\K~.p!6(!YkM ~QMNXVtXk.ηyqal͞y:e q߱¯z[P^^$<-#[$ڎ'{Lw܆F^9]qrw#8P=p ҷQX]kם,"Lr:eH_s}PE﻽Lhqw,.*!m Z 7:k:3srCxFa,ɔB&G4e1;ћ"ۖz3%͌,W]wQfg"a7cdtp^>(zM'X ӀƾȒHm G9rhds.%S8OfӜSIjMYQ:,])^ԅS;A!T廒CYMY,3'.%!5,Aiƞ2X#m9*E jj 2ކDBg3pF,4H˅=xPߨP{|P jծ}M`>KKi7ei aڝ bT~BGw_a.sM]a LVNq3/t^cEU\(Is^|!fZ-,՛ix #80HZ!g~ݍH64&&IhBV"37{13# X{?ȑ"ٸ:ۂPdEcTqq - 7=[#Hc CƽζJ {'a.|^[+ѭ>%Y,c Үg6Yr p#O45 ܲ2Ta2`V14>5Vԉi*֊$j-d~5\""'B""NħMY"]7ĺXL6HdPsɸ y^'S"C &f 4-,Y\.J @IJ|s cCyҘiH` qsPȑ,J ;ȉ&YO^$G`aV\wA;JNh]=r9G{"AZ(N.&J)49G?#bNB_c(bpM>y%Ϗ-9u2hԍ~dfU)R_}[ֺ^ޠH~q1evUʲ ͎{A wqt_#H"k:+XYέJ#l"*F33Q#+MfhYa (]wA|/LXp%ؤCìm:GBh^4Ϣb $[eu. Јk-<3s'{Aq~їDN!ѕ0UaՄ0P\DI$nNxcG?I_&_a:E>(Kf"h|$dd#ptIDĻB9+yxć ϠO+'2)nTA0nm/!v hTyYBA#.=8ȝee&o6lPDs~&a ܷL_e-4}Z,ٳn7ĴFzZ &>C܏r<wx}Pđ|Xz: P;@*Jbg4>rVa8$9HFb<$.<5TWaԕH) 0c%A%]fi DPG?8m_`Gg{g}7Fe[g?&$]ЗR$fau]OFSbhP2 kpo=?0WyTZR}kț1\;Iuf~ǰ1J)"hɦšanTxl@b-f#]"f(z'q{ A}F(”m:i<҉Ti,cZ=`aW?ƣ^r挼GUq4ڮŮm$' C8Kρnl;"Ϙ0Gh>`KBX^,L)?b7êFecHq#'}z?ªk NaS$0%Bf$Q˛sT¬\g꒲@Pi{WsTL~A fRx%O\#XڑV8IeqaQ(p h犚퉼1|5yS 7~GxzW}X "Ŵ(%6<*m$=5kF2 %4PGg?\j' 6̼ CضU+J>$SUӞM̫/M4Iv#Gx;3 AvT.ƒM 0+A;bp2$͓$8sC0h.-_|qy]X $&SR7BQ[b n6vbwBPS Mr"ЎnuUTIEǃXP]MPAqԧЧđ7:q!X&r$'}Г֋Іd0m册袘FE8Mg93TjMA^&n]8zFq݄)gDyVWЍz1b/0(5'W2 n0,Ifvj]@ :*ˉ0C3r?'Xd1Y,GM,4cTBN h~g\R70B9l%ȨE@YjDD0{J84j-圥2)!!6 =r0` t9En"?X$tYȳ05vV&s,"⾨JC]LYp r4xr7kK^`P꿖.=!P#? z/(צ,\<كVbIB:s`Ls"XZQ;i[ɞ<)%SyЌ'kR1D4fbq&skf٥KPBlJ !7M,CI`N7wI6L?#2OKc2T~=raTC6KN91˨b'. }8.C0yи~?81=iK. {ⴃ9EE>Rr6Y9 ~Ґ;<7g`US2b}ir{rK"0{ЄxBq" IJ&"#`g>I3:iJF4 ^ٖ2~>~a ]^hNʑtq\ Q,`g}p`i:cs,WL Ye`RcZa6%]J%7m9LLQy#F =i6L` =laFJR]ֹ\|cGU/߫Slye\caa2'0㈥=5 (p9eC;RSzĶjs>s1s+Yr/TBUzb`wdGng;qrVŕV(wRA3#40K@}{Qt{~T8ol(?JS8 1G!iFT2q\`T8P~[8o kcK5jn%͠Ț!F7nőD M by%cFAԍ :'[[l {:Q*CDn$5F)jʓ)pO-Γ{ma6Y2RC(H)~.Wr3/uFxdz,ӄ$1ܒy{ .܍ o?؂d, $N+vlLolك7ek/]n3Tй*Xj+/C+_a?_oGtl]Fij>Х%*9_A*\E wk~:Y/A@bD`hC]K݃ђUI.i+QU}bAt"H/B,םn*@h ޞEoQm blFF~k\b)n[eVݿ[˅#x&ˉ>YQ*@^zGa@kJҢ$Tη#.ŭhzǜ G7r"TjX{ ToKx2xH,XLmRo%QwAطE̵lRbX;A{{{˞$b8/ā=U[6BrE\qz~_Jh"~Es}<ʗw&=\rm07W) dZ|>Z_p}J_F{c,ths|8Td5,]b,q!oP%yEpFC  $a<ç}ǒDyg.Pz:f/W=g^frмNɟ^ dPیl`k..ZY@a!M{f@^dm@{)/96ytgjVN̓cRvX9e/De=x[^A8ZiwR5gJIެC+*R{n 10hls*!"]%1gn{=IuD}Y'{}{t\jB9.ZSyYym |3EQ0̔lݡhPHI^ErwPQLf|0V- ƌF|34dwGwW0vCtObdJ.Ca`ZZ{^C9ٛC*Zّ5"V&Ĉh"Ѯxg P%o~> y134=Nޚv;o(LwqG;eы$q-IU=I2W"A<>Z%Yт Ry-RV6{`aL!Jr,1/ezpSg()!xi%̍Xj/YqO6Atq _)&,8gkHAmpٲ d/#)(,CN nڛV[,K2e_ȁR"`qPS;:7s#FX‡%3x咕v V+Y.LLӳ}FMڃĠ:96BC5r͙&nVG%)}Pv:N݅Njjs$ >yT_^0%! 8?!#D3f;p˕Ѹa"LPfo-n@}/禴Oxw'A}c9*JV͵pWd H#~xԔ2A+ӓ t([W.kfhu޽!RI#L&Ay.OhI:mU}d#dS 2ŧ 2v\œ1JuR%o7]ܘBfJgx36$ ǀ<Ɩ[0:!hB1s}tp16hM_~Em[ |VU۟q!N.Ch^S&o LZl1 _N:c .<[;L_ ~瓴Мayf3޷_2N1 N|v;~7YA`伽”Mi+}%+B`_ѧ{XLq]y. L3p.C2s8P DžS{jSQ6ncHjN Eerg?4dv:(7$ƒ.$y>Ũm5'꩖ʢe0_w,9x薨Jl<▎;@cFOf9ӓX_A-NF&L gPKB]`4ƀCψ{(G#6$CP`˧mHqζ!]>ET<~E"pfL.r-j|78wA)`<SqHyH$e!Im/9kMY-q nCo}Aa<"gL+/aς[;<ኢx XR=\v@S&:y6PP9k >SwvG@"\mEqpYM4؈ف`:. Pҽclλ$O[,?Lt(l 69 J`cbXHagQ aJJ|3 B쥎oa+Ȍƫ2΀͏TxlWȝ *vVϊcADtgB3BA'Im(EeI&zql_`"`52Dʹ{o,Etv!b]٦,LtP}B9hm"ޮBry:Z ;Pklg?.-e16(C=AWO6",RxxWH}Q#\2(BlҠ' t-a' ^^'U97()vLުF?to:D)b $ghbر.y2O=sxƿ.τEB^R1o4{a-i%)>gFg`Cg.J1nzxޔs;O|#Yg δVX1}#tZ!)#ŗJ}=w=x.7AN]EnKHV{,GOx^4~Qѽ"35E%w='#^yWɾ;4iJrAڗ$iR`=y>@GpLFS2)@[7r'YMNnT :\]6o@Ey^xQύБ4&ޛw  Ta "z2z1ʄQDbDB4~J2ܛZqP3eaj C23Jml|6h#@J*ʦݤlL tF`jR +WvHacDž!Ľ7hdiܝ^.V lZ6_}9إ+NbqRowF{0yE1+ ؽ0?yQ0Z14F>ɜLa`YOٌUP,O9_ 5B|ms/0#>$'ߘL^Ґwc4Bb5C$=i}_|W5TB#vo𘻞A@S#q}HŻ` "SwYYbG&U>Ur)'MNd ᮞ'Kq>zcu1F3*= H1ViK .^9 +JaqMOБ#yJDp rb`@3`Dp&i%+I8/GAT>(qىQRgUg<'XiJDT'(S=A-{5k"4@JⳜc\DV=08`5Ҧdџ= 2X&݋W-oDVר|9=L߆BTk-d0\D9--N&bKgMYQk&%VI)דf o$$ W?X\KI!qx0櫄-0eYTi/ݳZ~YsL!d-Шe1J4^{ !]4Wt?"f̈́*.tMl%%ލNެDe4YLޟsA2s1oSxni Q X9QGĔt'E/dWۍY',Ako<+Mv\^'D(p?s bqÜ! !ZNu1xLA|}ozT0E4R-w1 =ZVcSAW3:tR@oئ,Q' IJ=J Nۅ_y\,"c9. D/c!") Ryy)J:fxݧeW9RnLV ]Ua11ћɺ1=&S,=[]FZxwB\μc-YKΏ$^kDz XpmV[@*3,5"#P0`i9ؕn+)NdE9-/}*(dUZ`H-8%D)Ғ.5dd̰DE0 3bJ5램 9' -E*̪b0kc 'qAX*!BGOrAM^67l2趉X'oFyopA,!SktlD)_ A+*jI|Wf_RI4m{σ13,R\G#D%U C;ҽ HGf iU`ܨ}.0WOg̀,R gR 4͐P/Dńp;; 5`3H0hKph`|ew^zc`-%d9l b虷gjÃLzZVafk,"L3cH?&`ؓz?˜OmLTC;ٗžSN M";tS{%0!3}h%Q+zD'F[_Ȟ\N)0L] 3 &>gPC*ܪ/GżtbNWEE zƆ{^W堨9O]#pf2%E#Flwa&tF!P3K!q4$Nꑌ-=qLC&k:IR!AhQ#)Ǚ4Xn_Sb)vn9}qh j&W$һOlNEDJb A ECdp|@ ϱR|=v> +de{(AEwxkYG(F6> _M\ -1~{B*?L\f7 ޘ t\WY1戄./Jˑ|{;7ren0~ZaВd !Uh-;Nٍ"lER$h{Ò$ Y"Bghܹ1#i.'v.E? SL㽡,P{cלe:` Q,XHCϟ-c/d1FD b BlZƙ5cW%v0żª/a,""ݛ-F0ApD~c=9? n%؎Bhlr&VwRdIck#FHf$pكڔcKQi2XrL1z sdLD8 {^28]O)2=CJ'+34Жxĉ3 UDRaMj(2EдC)p'B3wƐ B,Hq`Δd.Z #!ԑh+.bSV'cS[L^ǽ|uMKfSܽ9Xu'Q/LIM|Qv;%2hOFʓWz;0_-"K?IoRG3o73$bjc ADm_B:[RWc5Ve;z>*vi1-ȴ*:ѥ6# 0h鏵9Ct8-bIkY;+{!\wbzF/bJ^Ebx YLߋyw ҢQ2+CycbSj{) 9$sx!}hPRx> Usّ3d+j}rF ݒPN$|z$p%y.YջܑT.|U9M7a6<+C3xm'bK _%ݾY=횼EIlP[b (kMy.Ba9AFO0٣Q<%"`+|ȪaYY`#y;N[Hi(3SS߲hK*?L@-%jVUY46;FkcţdnG/"8o0B5ժ|R7lt.x.5р3 H'4ȂrI02nS9Ɔx^`cO-<)WYƹ .HZ:$$1 ѿ6$%8chX_Ge+n_GAxwτa?Tݻ)ycdkxCTr2NQ#Q8ddOdC7ɔYp]/ Ԇu+FJ=xPF= Do*ȹxNv~n2Q &oUEG 4"m(DJwb<㾝_2oѐtE8㦆ZU! έ<5 "71aqF^{}Cݴȉ\dYR˜c.`e H׌ĚlƕD,[ { p ZiBm':k."b2WXu6yh_I#TW&1!8CIb+i+~K&h6ktp'Kuo2#omĵI!qm=yQXN0F!̥;d);XG3';P-EՖʏc{~/9uq卙!鱪BYzw$6w{M —Ay%uLYtOmفoTЃ3i j{g{'RL_Y^"'[=a<{/GBty@r\.h0*B}I,rƢt[ek^J)X|/Gr\YRWOIVeFv@r=WMRz) r䛎0> fM|o]0|<=CX :mB?XC6/[xJ[$sϕUm~D ;S0yE0JZF{_E䏦bjN6ݎ$1+w8 qs̈T0&OܜO-+-K\~ZƯKҪc3QN:mG D!|!Khe``*Czq.|S-לסC#g5:Fw0:}DJ|w|;*ܫ?ُ~rYP)/n,^7MR6MHlVAj2Mb1L |(̹R?6Gٸٗi|.9Ј} V)Df1''z޲Vy%LA6͐^62f!Vq~7z* ?B[&2@O_z$Lc+CC{>dJ~> M|in%Y׉ƴEE,k2%4 5Mtgq?FB,;qcٛkƊZ©x\Tz4Ug<vºp_)^op^HF/2$k&aR2%#qmŗLoZm׎<lԘ9VHd>P9#[ivA;$Iic֏&۩WFCI "s Fa-"զXI42ɛ]ӌ't{.zwOƣJ30Ė#o⑰jR -8S#>Yxށ&.hOb!!^u3b?( 9ާ@) 6$lRE#sdΙtMDq.g=wlx܄Tkt\2E1-(盏3$'mCV?MRb9)Qꔸ7`]8'l]іW߉><߈&Mg ?T}1[p+\iȓ0ĝ||r:#0WJkLy/q栔MA&"TpAq"A(w`p͒p-~uƟb:X[2dKy"9ғY5ck&ts/:L, *QV&SZG 6| !:>1WWټd2UgzqP\-P{67= Єe/]GQ\T3׿Hdq&TjWmn琸cHIz̎i( K'Ӽg6FNUC2|q AHD`BwODV{˿hM=ƟuK&Yf|^vЗ F у) :ŌG 0U/3/ᄈ,J/gm4&>_F9d)Ԯ@lq% i1c6E8S*dZ'T2,XbN^y(n:sy@^L ̣uظ\?= afC!w(9:E̫=>V|y#pN+#01BhYF'#rDA N-< Ĺ^$sM>$KNVVw%p(}*7g&s/QA1G%E&+hyz DŦa[R&]&ly[Qn/:QfU7cVsp8W4T4am/A\h2e؃'3f HS$=8쪛W|w4?DzbOm Y7Y|EcI R'([m@n] *1=/ߟ7VҀ_2O\ @I3,Q$) 9و:1DB(j7cܺ'-?ϯ8fsPhFRWR[b˲+A_Iv,[)N8؀PP{|j\/tydQkHZ?s3<މ}Bp/bKgRseEq"n_Q'˰p#2B(כƵ|f#-4gޤd!p~4%۔HA6E$W(]dќb:Sts6a%dUtLG\G&j vsNJS DsY*_-!Dc)6'Mx[ai1ufaX$EE#D+w+ĠޠH9iE}6(9'?~0+ ?ؼp|#Hx ))ă ^VCEhV#vT,4r HWӳ&>D`5XF OmF/' S4_i&AL0it4F+^4}gF@bf ;]eh 1 s, eY:LV5iI.< D16~.xs2,FX -̣\#uqCc"[f_r `L3KwOE!y0BѧdQ|Q >H2E4xzMD&,. 6!fDĒEȅ ۙ:>#6M`Ah4m a}.b{#\-Jp 2^s<%;eQg[76.:^uy ViٝJy+L g"/ZqQGjH}Ka;BLk3 e}IIKζ9ftPpR8\`t9etLYHئ *wTO՞,>Z\wb.e3-᱈O$:<mqDigFMܩ.?P !{/Ђ$G"ĔEHe}Yiӝ,nO0|A"[u /bxİJTU.nGP`Na(Mz#{ҐCpb <*J=I2W7)|Ζv~i;'⍹rȳ3'J f`I3Y'mC>dӉo!' X+L&;}>7_8doW)5Rg]v PDC+['?3U%ZL#. _ɋ@$7g淕=ߣWVJQ`Ql&w=ӿȣk-jܵ Al|ufWpAf!Pꊚq+tX#'|+Ea8 䩌-و$Se$)']6[Y/ >gEv#z% CJBX'$d0fŰ_&dťZ[‘ODKO6cWm\dl[?[yT|t>7jaa x 1nv_ͩ27w-0 b/4Q 6f>);X Mv]eŗF3t 0qY /]gFu }Cv3bh&Fb+ )Li-]N[co'Ի9Č+ڍ]}*/۩}G SOؤ& x%Er&.!`J?Vl<JtDXHĐΑTš1'>Q6 &,PQ\״!MGծgڅ7Ruɂt 5,1120± KМ%K$k:;,)PZiOp KDq&R5LʌjyRI ǢCQGLBL\.~%Ж`KlFFNP'^J%YAb" " H@FE"\8lRCtX?B\DbwVb).1~V,Ť+KI 0[][˷:Ȳ8E_hMo;q0Eq ުHaQb (FSYa1SGWdȃ""VG0iM\!`t.ԥ!oTօ* 21l΁^!HO0I&f $.:]a<[iLQ CIS^u0Fk&p#hZOp<y"ڥUqFfܕLD0v6դox'I#8Y]-myK7<J7)+J 6ZC.XWqw<0y7aU:-3G>d 9ľ HRguM So9Ad:z5LA*03ͻCY.'a&L&bf-WZ= X3b͑;ڀn\pjc7U<(/'ؘ@KٔY.vp\Oze}or?(Uc_Jxp݈OjLJithC?ijN<$ m#.֨`N 8Ey5@diL}&leLz 3Zh.@O9*/g8K0L雰b KGӤTyfh^5$r䅁L6E1C7W/Lc8Bp7ӡ1).b>EnE+C1q8?WVz MAp/ hy13=ݼ̮8,Yfrne Y |`ri{ ~I)4<6[wS*6YNOC&/_oQy:c"nFFHs>Qxb5'KQ(%0 A}Нwz8eͿ7ԎTLe 6u< >uL6id_ !IM FW\tda l#!oW&Ѓ0gzKµ(U@p7|L~$ e-2cΧ^ 7h6_#Ddzm''ΒΩtF 9m9J| ^49yr48ØL7"׽6jt\X qr_&G/\B?g OS!Kb4^y/]g5!b6_ROpL̂2_%}$"$s- a02C5}αKyo3PX?7f>b H0CO8n"6@rQq'U$`ӇC&c#; %zo jGW*aF)џ3QG3Hp+h@KIy#t3% @Nh?cڔ-H4L q?.=^A/L˓,G b]ѡN)~siY3zO 93|b xƣxtwB Qbk71q ɺ#ɈOW.^`.tɑLr[pO9RZ3e)_1' I'z9|@3F)&?'9h"LW`LRhžne xxa ]M_Z{ ߹,B7>(VMatNCd޿Y\d9 a ιxryM+ qVW5䀽(OiJJީYCq%x/g_aӷݧ3Ibyt~{ƽG8Y9׬#̚8 $,s>I}b CÃ-Eњ9Cݎ8GlVLo>X25t֑[#?\=I 17gUfƼ9PbN 3%74D/78l; q*C%-#wqƻIe4&]VN'PDa O17O3`O/Q"r\D8nDEE\; E G[_Q1&dYjԗkAxC* % oC y f} ?ܖԙ<ے^/ \̙+/Ks~%,ǃUbFcKƑkdo`#0yR|?2m^Z(ُ̌$t2#3fLU8Js\5GC֜듅"KX}'2,*$'t5Ղi&NbUBx#a8flm+K$u& h>kX] wo4}<`Dh%R"ڧ,FA2壦K=L]-;DE=hfIrÛڣg':Db;7E5{t9N,UMǔ d!x,FVӞ+C9/L[%z.ɳ=%@"Pr̻] L\}tqFr+;75+֪^KVٳϖYs".0 b]Ojϔh=OL&z -pc.͑JC{\bl>%XWBT[%f,2b5CIoP^ZQ- 34iL/F-VHbn|X #PTM}rvw҉ʍ@j3#\ ]E a|͎')X}"%RndɚZن/BIlH"dI@aL2cd"]WyJZ&PљTG ^otA얐םY$42 ɞo4 u.[W=C#VL8hd˾ eF $$ґa(0 +A&ɣ <>){`&^ԼgMk ^]lx0B9'P駆$`}(fKՐ9[89 gAHЂߔErS΅Mq'dj]䊹gDX&Rr}3'ADYP8uQ6bj7+:4y5U׬vF ;c0GObDCTjϴ-3|ϝ5e2"&C:hcd{-1xÔK)EȯnIRȴj<rWcW zV% c$b֎C&<`ݕG-$?,XObc(VQ >CU2c<٥7CqS!k3Lf$y+?%Xu!f@-GwmdwDYÙN{PҔqf?{6'%*1JeNg'0晑/-\HOФ&[}9Na'd/[p&;Ծ"|vPt\/_\9 ;b'rurT☢ɔRK}XbnY%͞ {LFhEeΑ>Zm'kFQCm_3rka4y *ͬBԉ`IM栍祍'R3u7*'ק)xk`Nzړݐ ݖ10=trgz!s81XV&'Ln>ٿ ! ]L-}3CwK.ͤk (b4g&,hM*FAy/:x?W&slʮR_ $8hv3,b?9Qc"nɼ?C./ v EO18j.yD-B" MR 1Aisk ^ǽL909t:ϦpNj8d@%W|b(6ڼ1^ލ0Řg!Bp֍)Y!CE [KQVYb ؋wsg0Cmo lFN2=\=IDK1Ay]BAb)9hruBr2֝MP?ZTzR 8 sz @tm C+]a@gq:Y8`Һi&ES] 8,o&pc֟`(E1hzQ[A?X0wx.]N*q߅H*t4xD?Y wjgx5L)!['Ǜ$dNKg^VGXYth?DWV&*Zz1ʰS-e̤)́=Z0o(6>2B&Uyf]t oWI 1&seSCZBЂ.Ea0$)ӞYJ{.|1= M82ZDBV+CB>{QH"g|$q6so~wB MK4EepG1pMFltæof#uz#pFTS6Ҙ;%EB}ݱ/EE b!-諆<Qcrw5L:Wd{\!ppPP$ ׮\lٲYϋޤ&6l<9ieVi|dgD3sBKk'0ҝi^ix~H#'b\/Z<7@^"rvN`(:%'?0oH6^r%|Jy$.XLk#,f= ѝ2zz#Rp"."#u[ hϚT.Js\&_}S#~(g$qEGTOZӛ&NI_;i-5"4fhA:+3 V*w?e/b$_iFF,ivdȲv1{צ!],̿At \_KRЎg:gvu>ӄoˉM*/.#zQX/0rARiOoSYyU yd+*sRRP)M[:eˤ>W6űJnџCA@uDB>ki@Nk[XD p,\+13w:=-EGcŸI؛vޙ\͎%*Nܝn)Kryjb)6{ɉT o޽`k0ۉay;F2 P%)D6bln!PpyTS6F3b-Ub9HEl`{s{upO? ߏ1Iq=53DY ^-ܻڞøj5ҥoW-(O.`5С_1=>7ɦ#IZ@D@OS(::(4(!ϥ2}A0\(R=X%VB`|F̱F@R J7x Wa[%ĝO&ԛj3b}O!mn Fc-StxLF3,Z|>F:,/@Mi.<3vBEbu!^:v.L=VdWhaXWeKm3"Yy3ɋrJgl.Jp$^U8XJaMQ:)ҧ{Hl숄IkΘzFl?0b0b,ep(jٗE43V'Y4$[[|H犖${ X T[ūOGmJ#xf/k1-0G7ј$' /1KQԡw;+;֯iΉP<ј/մ_<ŏ9v32OP(q^{Aߒj.^bOyΪ 1Q8_LlnGt;GC_U/,Jr3Od1t1"x<+cwlO)ΘчwHMՃs o7CzVҜNT %!E:|I%P8 ɓ h0" (b[B%RsgLYLٴ&O`Ŝ1P]7qABjw EJ>ċ6a=#DSJq]0KJ`&v*Ո.YOkO3Lb0u>sR;%a~OAXGxՇ~udk]鐕8GN'@p;8ɸ f4s$))E'&]Qa{~˜&b4yHo%Gy5{#f^3chhLM{NJ̗(COO.ʉMm C:!Am+rD\:ϸks]]*xr$#!'DR6qNW/?~:_\< %Ń D1b?E9`4oN(yoxxTm- كB!2 C]=&rM0Gs-A)]v6c[/TapyΟg)Cc6Θ4f(&Q c:z3D4\+='~.)L AB0Qݦg88/NY+{ 7mza2jY]~*l47^r]pۘGd$K'yu3pԟM᧻Š1@hy޿衞llVtˍ)8T{t]OWPv9CM#GRfUv}ſvXՍr?+XA"zŽ:2wz8'ỪEhGٮ[yZAcu&!Sd*k!8Ur\Ho;->n bּ?Mz) Pك1b;u>q+́A$ (A'M52GT5|OK>YNOUwo{JckZ Z*MD/؎q\]9HAo[TuA4vV±9Fij1yԉ׎[kXDȲ@=BC~J }|ECb'|GtYvy& ̩2RP:k=ZKbH5sxʸoōL|FR<9Z^|N7nP5)E?𲝢Dai V#Fyjp_1ݢI^<]e%!hVӠ:23\̚l !GP>"mx>lB^ (K{]R|v7 UŗgaN yo- MtHQxp$i.1Cc7E~(q"B (gf"Ly.Z<2g܊(QD GR`k6Il%/s'/#֨?p\e)٧^Φ>ξsDXX"f_ #GChP]M!|*#qз/{Ї5u Bp Ke`MR2}M4K1ã:GP'C Ny@±Էx T>wIֆ0C3; @C5_Br- 329IzX‘/C-e3:hbt|3fpx6 fBW(^w{`q21'r[t1ɗrMn_cX AO}錠J%d$bU,aI~S8cN$a@{mIn10+#j#|eZb:ư9qBs5Wr8:$'CC A8 vծL"_Njljx4ʔy,QO=d\7'K6'!<PMh4vϱJ$02DkD ,1QbaYgN9_(UlR:fY$VJ+"=D{K0uS5ܑY.IQ`]u\B*8}dr3+=ҏD׸,SXR[4G]BeKAU.l`Ine<oU'АϏ*U:#FXn2kV,X+W],hu!3b ^gvpĘ+Ja@晨QsFK5m~ 3Bqc)wHVM[ L:yS;ӹygFY:]|F~p$~,ݒ|8Yq]=]$NG.\QxZ9Amq S{xe/& ЌG9~M-;%;wi;iar rT&dL}W9_rZ3yq":H9o K4n_h,B6BڀZ%SqḿvLQp=B`'_ 80?R~֩t)r*~" X>MXY pFwy}Bl/Fj/ ү*|F8A$d%nY&YCOrA'U11c2Hl|s$ yY 7;Yu(g mqS1]-~j:&V#-1kLAg~J!>{VXB`jDpf79Bfj_*[?Eq\@șT70mMdͩ!1D仺whYH)񹋧[G<|JY&h _qY FtkLE8{=mː"-ԣ`DDCU/B =We)dE1G0?AdA\ 7ZPmMEfSx] ~&>7',$C<N|wO.n[b^Dv1(Z4)g} ٱC6+A,iݓ7&U1jz#S{ XW D?Gk6]t^εW"(9ͬF~E#.Xb|5-Fr=57卡έ #ډ֢37[Ꞩ.YUUUUMNrCI݃V~;29lsxT !<(q;U6Fם.tPZ/cǧ<09S\hZ& 15!km72~td^JJXa5FÎ6JyBnf~.YD6Dqv*KDh7 b1P2/L+ͷ&>^"Fa3Nbo6Wy6PG/nL%hz8 H[avX!$ b"f>I AS2#ٗv9버8JW b#uWRGm #kLm|-m3V }XtMq{T9*Ք )2z~BӨ sC q>S6CÜFJRryuKMg-ܗsv7b9?^`L;ris;c& ɟ!3( A:g\1f.."X~EljUZѼ/h2兗pP1_AT0˜Rv7yH6dHHc6pcZ m>`G㏏}Sv!b,Ǽc= ,q.?-,u .Q[?KAha'ʑU.w  AM[3fl#NH{uXbH;Z )^0(HDhrGr:\Y! R̹v$n -.y^P8AVLȒXT}ĥ2X@7Gsůٞr;J٭ea"VY`]LV\A*M' I˵^z̜@ >lr8h9ކ.k9eS< W#hJ$x%H| ř%~kϙ E/57)p⒅x$ L6 2ע뫡y2r vD@!-41G6 kY3DSkE.XK6Q ^Bƨtqq2Eq"lasWϩc,v,y^`|eL4[L,1k樔d3 =lKBhY:NVt )7WڳRg>eXϙ-qᢙ}//vُFh|0(3)16~DwOjB~=({y]Om#FT !G6-ϭq 3B-fě,F5`DiwcRzKBr8&O K.dδJqΙcK"mf 2Gbr۾zPi|D: wЊ=^gʍ1|}dh跴0)I"y Hl)|8ӜhV]rЪFQY܌]#nA8F-<QSof¶? 72~єl{£(7D/`2 A$ftS:fQD %l7C"Hqelo=xKQA|kFdM X[(%a9I%_&!|2L4ua),o]b0& ]DlI]Bw%C/6J/>'ȏWi ",@@aLQ1  b~gJ4 ٽ|[$!(Bk2V]9F: oq.J~Mh|GSTG$Aa {qn:EqD/|K^DQBр.feinU$V+8u'OAJFj6du$࠰EO<)Ap %ڡ?jѮclaNS&B;hs>'8#jסE3󾹋a1x"%70y*52`q |D,Uq{NCOz8xR ^TPcACl7lOLr#,5Ni%<˱(=pY&Q+ɑvCxB6Nn oJjNW!!|R=b9m@o4ȃR69B{B)t *rOY\o(D:y ȴPSM1rөAhL]ͨ!ghz1O3cWXFJ09U"b푸ck: } 68M=e"E:XD&eBjzT]xYo;=o8y4o ,^9c(T9jt?_t)ip/th5wY68<$*EdkXB0z-r) L`7h?^DH#bސBmVDQ)h T~t}Wed ~".%xHS>3&Z⪔E/cTT4SQvbM 2DTbgeœG.@IR*C"P9'\J$e.Kv;Y:,tvYXN[} yY6cj"Bn0ǴHP Y[ֻjIym+t?uJ"Ff䶋W8y [P˻"( Aa\gٍ,8pȒ7xDoNռ1lzAJ2~#ǒH~TAPy}+as "p3V,FoE-7} k3ӨL'6Yj8 ~K~ JR4R'SbϽ?cT"TO"Iӟ`jg0S!Cyvab7pzԋY\-{3]vMb*"pu3[Ɲ3=7:!y#&&Mq._sM1ԶgbLWt^Oc7t.\/ Jȯa^~&M)q !>#P=RMBfK2+ ^_,G4h,FOő>a ^ܳpi"Vˤ8dw]1#\$ʴ5_d輢lxEӚj=9Bih*BSD!@FPG܃D(Ef,i/>fk!H',,s%1ݗT~1&6-Nh3vIW.U7)+Th~IHIA5=qʛe U:)TwK JxKv"MŹ "fS 9UdȒ[ippe/0b; ٷ2 xYNr=ܢ(`O s>&ߘA<ĎpŴ0 O\{odFVq^Z#Fa q_HT:c,o1B\fno?-k}14u"K~Ğ)I7q C Ƥ*$Vy܃fl/cڷ p'^|gD_X+2z!U۾4u0M%J ~ݙעs xz BY~"ơl[NX̗iDhG(|ufǡd5KF͕1U4C;B'2:RjJEj8F(L ䷈䨝9K@{x( ² |^a9#;>]i:9,!Węu˖X"\ ڔ3V-)ZĹxӵ%ؚ4i*B xC:ms1 A gtb%b/6_~Fd`8|=T3Zj a_W/Yp̙0p8n,[Ϟ&|[S|1[)f^ɣ a, ט~+=pf* 5L̍(8^ky*hՊ)Fr2lL(.яQ%"gJtbEWϙ& n;dڧ.kQ3D?go)2>y,tFslKDŽhv/LLbOSEJA9+)\lXfN,m[ ҋ-ws~Z}t1C%ʤ,QFs Z~ doKQl9Qf'Q=$ 7TwTBH23`%H#2dA4v{㙌[Di.[s"`t|5ƭShnuas1,4 /a>YP-ho]AS>"3Fsf^1!DD ,.$.e`vO)q#!F5JIHKJip f~LYJWa B{6P{4&K^9v}$/^`4L4xgdg8:3&!t噵{>({(A㗄4OQt2XD qVBg U~.?'\yJ=~ѽOJGrp~lUNyUDțǎGī4DsJ֘@+nY*#b{/P&s(DJ 2$!?PF`Vc2q,X)ikZ24gL2'ҋ^]% /lf&D񀳲ۈԩ|ErzKC*زnh͙£sN!:e#N|ů? ZNM$/0ZsIw>rFA Ĕol%@#,lHM/ُEAP۱wi[a6!Xr!&5'̤=/։|t̥ q"Y,"Gpm;EN  D {pՒ7bXeq嗯C;32Y H[1Y!Dc Υ],͑der(o'?N&k ߺdP 0q4:m+LjZ[brRu|-'Sl6PAd?MY㙣:9_k3ƀ*`U_ˀÏNId3c#/_q\>.Q,w>\bǑ"𯇭GhtX: d by#TrOX-ω›Kk,Ɯ|U=h;$ĎW,ۥrx%̙Wa:@|oQYI]J]T\$:edcŴ4C j?wL}RO)&q.~q|l4[xOt8]ظ5 ߑm4% fx qvw5Xſ38 d@,z;rϑ*M%5'zH5?PbGũdp F`jIWj2K oYG5GMND4o}Q 9o=e0CO ;,vP30N-Erc\!byρUt諏KO=bvBUDdge馧Il˓I oߛq,t1!Uq4CP&j rtC15exQMB |> 3:{L(>/ &𯻪?\[rt^!+&h +%}%ZVI&}WtO(`^S~dC؊C1X K66!^9 q&S&BLq7\1Zw=̼sǕZ i_n!wWa;PKņ &:Og1mJHe5{[j ~8i_/h*gNT(|c\vr#X`RzH7b1E\Rw;E2 6oca0eL)vv؜)M/v.K|VΨtyԀ?gH0GSiH5,FP=Wґ,=ރ(:mBkt^Y,/B4I YDgk s.$i[K_5G8k{@_xyߡ4T"KYOѱƬf`8v*JM"i*nEz\MLzzVBDYDDˤ<d/0,\& ~3K188R~_2M s1M3soq4 :ז}60_2,2UA b-L97#203֥y~!b8g}C@{=5Oep±F=#OD$ED1Z9 ٙq*s566 h#ka9CES82x<,P_HoA׀&组:Dx!9ot+GI!h 'odD"ua??4LRX(R y]ou#P]))CIdWb%{ k7O2Gq{DPjVEQ"GOPdp<"u78 TfQu{Dd;tKwʹ=CIʌC )Tu70'r5w9 o X: ~nCB`?LH@ƧQ8xEZR"9d\(Vt)]M6_l5])7Ax̬rPᲵ1F׊5N@Qj@Fq`|LٞM3f3hH>bF!RP Y8(ە;[)es؈6STNV(Ԇ`02EE' [2 eUg)O4f/v5Z"Y/ ςxC#>fh̙T+ݦg#+?<\,F4-M70\y󚨝4AqL B ʼn'=dfN(DènS 7K*m,!"Tv!g7Dx21UFwceY5_ SH<ڞZI}'Yy&x w!7al zg!FT8g$ӐgS={C}2&G'+n T (lm5[4U `zqw!~xLs>@ԛ龟z_A3]I: u▜σ9> -Fܛ G 8^ptLkr+A:Yj f]P -TnkRM10MS~sJWt̔Qn06z_S' EZ,9wDO.{Ua;8Tu@c< !<E;d>Pΐ\4fA<<7=G r?TJMG Ə|f"ZQDXQU&bjESgEXDA :18ŖE>cȤ;m;"OYXu+>|]o\`(SG (KXQFH-5/ U $BsF;bUxL( )KpP&s8h{xQ:nȁYiJ}^ܺ IP ?IRO=b˕ɣ6۝K miqfZlaאk68;hh(f5Q[)UM1~q#BC\iwqn4W3>뫚1ʅ'74-ĸhtOAb:KXh~ٻm7oN^[B{k$H׈FHBx3@2:3F@C86:iM툐b)L3y ' &x9oؽQ)*09#ux#p#Hb|R 7DG!r zO>tK -5-u݃!u$20F‡I:~藣(ZzG"(Is R/x|0oc"-L3˲hܺAs[>^ cEMi| Q8'?}4x>2pI3p7D683UT'dY]1!N{HJ:=+ W$[ɽ/8ì+ {G2G@{-@=]u5rfH{4(Q"ϊ66l6B=LğWY+߇iJ۾ҜSB;sÕGZ1X^m06d: 6$*<ֈ](:(Ż~ˍ"ɭ4٢ CNO~N{d IR.9**Bl)9dQiTPB!F' ȸ1c6sF gi.F$͍01 %#,%1j,FFؔmCJ tHHgys+=ɹ//tG1Ϥ= bYWA }΅ڎ[!lyhg< L m3}-U, oln'=ٰ=vǟLI]{hQp"r$PP~1:cH5E(y{v!"t}?Q!"H$Ngk,@dC@rCAȀy ˑ : wsv!  Ѐ~!E}mH2/nR <|?j\5KQ>)lg*~Z$:db9r?/v>xh&+7@pbdv#^ȏ!`_ "2)ҩ44!bIvJѠ3 ie]I)D D!ؤ$B s}lGOd|jwz">^S[?:Ƭ!kmH?+tuNl*Kb < '%ĕp F4?Uyͣ*m@7%ŬIZ'$c)c;cyy?\#:L۽ߕ5&v2DP=!(61ۻ$ YAbF,ʬݮr= E=K*5Γ$4V:ȻD補S~XL ܕ1\R;N&2Qs+U2ь|DKk ŮU4~zcE@{ZO,Z*oE%xM:BɯꞲnUz hT4A-5+y'J\z=Y+vapչ"f_;:A'f p<5ڏ@8CʾsL!w~>ޓ5r(K>n7F_P*ۤIhO/7ca=xA6nZ0rvOWO:H]u70m7֌eu7gdxAmїYl滉70-UYL'h&<0Iya(#h@"m YH#t5ҟk>20˛bRhK4%.ClRj(Q5Wy#jU` uhV5BkjGIɰN␔"<ݕl$\ N3'2cnC}Pj4G4a%/G8"|9_hG2Qty>0Q Ӊ1 H5֎jϡ`$M6Ak~D#֏9/EDZ4P@M3Uka>=MXEbWn0*mBbݗdˈ"KE[X?Pp-$FfO _! {pVu c~?C=h0 . `: hsL%!1>N՘V_ qcp 0vU`2$y;% E2D ?j5ZoIsK:1r*NVgZ3@YY;wJEmBVB!5T`4 0bOJR1(])@wG vAA} 7h8H-tm$'k!8[B x:+Nϊ֫ e:$u-Ƒ~M/tL q0g&6#紹xǹ^qnjQW~q843TW*YbP]9Ԧ%' FA /cq4ǂoVvn>\dl~X_3Bn, ZA?)* 4]DxlI!02t &ڹTDZOg!)BtLpzɼ>&Hɕ!-q ^V[FѬi>38ؚݙ:Z?J_Eڳ*˙}’h+^B>1l[c*R3Q}>b7c?="Igi=viDD9xr'qbb1w֬)̆Nf Zy0\M1%`:g enqBnrG䢮}w"=B'>|zDUtXnFULzS"Z#8)0WH"/.4bXzԛ֪)xR|H|r0;r9DE\<'R_"LEM5Y5"yr&L V\ꝅF&L)tk5u )0I,ڵ&Ut2M'TLd8;3h"v8opb#cMxr7鹻cL.%׬tS1?<­f |R%mH5 Ι63Ǫ)<05x(,ȻE#]  BgȶqeHNq4^|OMن͍sqkyH g.&8%;z* Ԡ\޳.fЧ[r}ؗ`U2!@8>xqz33JWkp&DS 6Q=.xCu>i<氹h*K8dN!7iea<[Y1aǘ9#&8c ؖtH3&PS!=UMa&-M o'cQl7a8L\)0iS,+~Bi>GE?[~; !mzvKTEh*pb VV$*q0k^!"%7$Dio1>sS8U=Tvp?h#z&9땃hqF }'~W!1#`Te!a)PTG1B#"h^rmsC3/s".֍ZQ[Qi(vu1Lu/ ꄂ%w=sVV#s2!k)YppS<%ctdW_h FDAgKCձ,d fɘd*2s'S8m$ XONV9Y^XO:>WsqD;q>$ S#`DKx!.C~QAt{j<$ebP69eq39ظAUpPB)GiLᬨ |*P:0v+Ѿ>"QP7f'γaXp2݁q*@E)&+)&j㘟ls>kCtUy}UY Lb BP(Gh3t㚒czbe&ɒ6Oyo*a3A{=eqsA*951~+1'LۉŰ+ǐN5g ,FiMjiˆܒ&0TJ,Y`j .8}]2Ğ Y#;#߳c`3cbA0|V=fKAcybq t=6ME _jg]?dǶ:t h7=e(>"I%H܊5]AT|b̐y߫6'(qc!o>Tl8/M?y}ĵD#e{~gtĀɉ4Ԋ1/\SЙ8]KVK?Qs͂dɚ3vօf;ĚHDnsI*(*Ymֽqs,35 .ӝd]{rnt S |2co}9٧6tBJeՠhv CmI _wm")am6y"$ҍBGT| ;ݿ~5(A &HwØWă^TmgqkH\~t>^gy^+%YN\DK0 OJ= E.i&{e6 &Yæ ƜD݁+-fP5܈}QtoD=fx9m+d#j} D/i(H,Jn=[Aev;_Q_ovBۘTYTd,#=ZT.dN`!yfCZ~{T*u͘0MMRb' j-cmLN\qR_G,O*Sη},<ٍ)ϗyĚd 2u=`LEHrMǕ9\ز؅^V)Hc:ƖBĈE%;e^@ 6ggTXćq! 4';:=?H鋆xLi 1K0:?)FCٌ%1eřʤA5 GQ[B()al 3~Se#CS߷qJU6O,j9S<=PIf`ҺtH^2qD` @+=3E;|xsƾٞ?G* ߬x^mx[e}g龊M :^>"e8ȤaćS>bS(SyW~뾆W0W +ÁPEH` hNS,u%I3}Nty薌X\YOC(b_,/?2o?\vU?J&P.?Xp<ʹ\~W]$ H 釂lOޗ![8m6^8uMxRe:>EyB\Dxc!G˱+C@_KDm0-m3WAqD%-+=,6~!3"p֎$.%[g6<݌'^ժz TU9͕30'bewl|3%_c Wa"(9bYv^"F4w'xd `k{';Oa+)(c;ny6ҦO+/vdߊv(M qF #\7o5wޒEǕ=K?2驱Tr;c6ո_Geqyeu8Xj8@Ae'jBB)ـ.'۶9EIQG LPv]0CĘ[U0I/,{0)'!vS2s|lB"8=B+>Kdݠiu>h rp9|b>~cD=?EjBʌ¹^m2{e|"9B狢,Nbۛc7篁IR*ihAsڹ *z5#V#Ԯ.?$=pLG_ 9b N(sI%fӚJ>e(IROe-TOEE'K,It\Ȝn1{.b}x]!u[eDŽ{Wn ~j[t.؞X$Ȃ-c$y/]AIp)1o~hb!EC^ >G`} Cu 4潥!Zl 7̹uu*{l#vnb O1`l՞fLJߑbEc"b"Ln0t˃Vjp[¬Qe|g kqok-_mN;Bxq&3F'T(ɖXp_lԊSv۷lٳfZ |6s1 Ob(H8f! ) %] N:QN^yΤE.86f_ 8j{n"LXQ1'2ȝ1ibů0 PኧAvM2& C1(u[tDqbpsuej #}Zr fGIO;v*N=nrvb2IL"l ߰b49ƽ }owC*IA.%>h,)B[Y6=C7cﺒC7zPLk5/n*GKOvԾ~ZwԉgdbM7ǖH4㡎3k$}H玄jK2ZGK]n|'lRh=I!y,d|zO2I366, 0QӒ: b y~Ԭ)wryBM`]p.ߎ_͹,b$ڝ6`VU=< ¾~5}.mMOԽr@17l0<43'%k0i3*nؕ+ejr)s~}yy.g^FnS"iL|% oKhPG7Imen>.[A&^(ƴ*e'f9e: >1TSs|SYEӬCk٤/^ Az2W6Q}ᘨ\e!f }闢,fz* YbJ0! ~͘ f~ k1PPdda(ic'iGA:h4n$lyL \ yn"r)z4ܘ"oj`͑|h\eq cq8܋mzLq=\:IFG :JklQ؞_ S1!O+[WcrTNEK) Y C­3:8DLkBS g& /}@G"l1ezID]A|^uS츤J̌ J91q*g Ng׃hSܾ՘t}-2x }?e$)2b' $yC͜oRWx>g9ĄW~M9:gnJiH:|*'qBkb6|hM٩I{۪y:FU"_:T8C GIjOM9'ȳYpZzwE,d%@\Men%'آ4Z$,ɝAgcвqT]oݍaR/v' pqP"/GWDx1Ɨ)K)G =XM}qƟ7:vPA:N^0wB?樾 {RUy!"ͅ"D)cXټ'\ )Cة@q35xw<\G 5m],/NcotSYZǓrCź I%7MQz0uҍwUH;wQBФ7J_q_= 6'>g A*cOCxcwxS~zd O!yel `]$QڵVG\U},{H{V$`ۺ1Q?˫3ĉJ3=l;pqG0GhQo6aF0k%WHމ\q{&&tdV8%$L"$C;N."Y\JwdlNlM!pE*rE-2UdbLdf>@q]Z aȯ#MX(]LыG!Ȯoz]sYэc%Ge>ۨUH1=,5&bDP;UIxOaA,E{n _kdFmdz0YnudI,`L9Ozͻ 0P1c2 R8RQ<%W&WG51~X.О4yvC#BbEF~%R,%D{G EF|%yi(uOGn):UF-ͱ4K_H<& Q F(oF!Tԭv.Jg'e@ \e%<0NǺ7͚ϝ_-ϵx:bp5Tdb~ϟ3Xs|Ґskc:&0"@\]2lFc@|kHaq֙SFr:yBFĭ(r0N=hXDUUBVxlE>r 'Uh$uk!f*GĬOz46CJmE J'×ܑeU#V /w`wj1Je}3Cǁ=IA`nM<%܅=/1Oy̨g\8+$" Ww?cWX"&+'F>607T]yް6lrU9&Н טy Mڣ@!XJכҒnD RT@oKYQvyd3ce!k*uB7=Cz7#g\rJ2D1+ q@{8˳!;Bc˘zNȧ^M11+ɟa Aqtْb1YT< H̑I6fjߐiԧNG-!طQ$(EbiuuĘi8NXGڵ"RXdHp-8҃3tMœܿ|tqN|7fW$`nfE#P"SSхGv* lu ۦFuU9&on? E&x.m9efDKok!7|BVibopD?9)(&wK[sb}]Q/-'hCLNK_Zq(RD(#.xÌoGǓ&TIU|?h4Xxfmec$ / D1qGRL9;exw2y9"2G$j%^'׳V~ƳoҰMl&sM V5:NOyy&-w"K煌(c oA0c.K-7/<$Rh6UkmT“8Q&&Ϧ3%- "'[mFĐ59H_x}&b탕'h͗{4 >n.'4vVqC3nXtb#y1{W~V4^uG |߸[!sgDN q5B;%dj}c$p*@w 4b[IӰ|YQॱi;m4ƿ'9accHMe;G-X^s <\%#a:Za"!RVRȯcжNDP&OJX{JW=f4S> 'o"[ L ,`T5GsL8҅3jt1R)6ؙ%d|iS,;O38ǖQO}79_'6ʄkrF'l DFBӴ'5*XvQn)1OTxrD'[\vޙ\S$Ʋ|Ea >& gjfyDxsmz#;ҔXՙZQ{{#F"6sIj,qCBhUy Ky0s6"7=ArMS8ǿ|)SZG(c#B{{, TVc~=FuhRv]n{B< ?m3ڶ89H`G;&CJlHgW C% (^$-зrT֑6*k]]0/| jiaTlՔQL]|+jy?]/Vlx|4Y3D9y MnUsb^7(@řEOHf4%9f.9='8WiK^ ѐ39G83\.܊9u5AfuӠ1=jDKD^0Ak<9_mUP08e,X.}ӂnUƥ_X7,μtqO5(. 'aGT;r\XLd%OzF>i^! z`!Hi$nw+0l3~2-/F%kܞmۭ p!p'3*F8FT28͉S,,q t*o $\C)̀ 4 uߊ`e#."?Fݐ6F"X73G|a &j\hqq+=A@ehȼ&u3v9&}6J<6ƨZK_Ζd i #g7_Lf Xv(mL1ې4_~9Z/OT6K&Auoxι iV#(>嫿zSf4:GR^,AZV]{z|ns2寭ϐ-(#Xr<6 BX6y"*y>b|bǁj-%3&̚4(H*Aw]|LR2oD ؑQ$EmW@t˞! .r}5߾m0~3&c](XR pc'ʯ<EC~x=:ŐMp\Y."E,قo5 W hs"S˺0\){#c*&t7'gV802iXŊ#K\P&ƞ[7^2Y~%}q?t:(T<{?%`Z،N8;"HQAKٚa.yE։k\eO xi.# %cVQ*3u X,\t$~>jKIu&l (93NN "H6h(1y86/ #]^co!([4=$aqMȘwrj q 9 Q=\ k%LP lbaq3 ;&pc~Cjtǩ&]Ƈ9;0$՝S;1ҠS^\?gjPPCpY c|vƮ/(H#-^g^tlIO\vdƛq2ȍ@dQ)vɝQ3b< *F,7| =7d^ Ǫ 5dMLO7m8)&$N" b? vZ4e COCL]cʳCbM&;=*WX*<^Fř1솩3XGuN/@<"q<* FX mRhHŘG#U[Dqh}~z, Xq-iZEe3FC4~?QN08I}KWY{A0#z!oF 'r+ E 205!q)!,Jbu̓+Xsˏ5gqϘ|ea?W[.X0Ɉ/61ے CQ0S1ɣ,M:&bE@"/I13a>nv"AFVRuWh 󀲝 p* ᜚. {7P0: -~yvO@Qe nc7\i"Pfo W["ô'/t``IՁ'N(zb{dGdU+%*%K`lߔn=F_OQ}W.]Ҕd>FUl{lVxF1;tM$R̬g+iY/gj>K<ʚb.,G#!4,# |l:Bylf!M}7 @pȼ2u!nvUX+ 2P64öyUpV5f&+Rw,udp X/C`gM)uJpwXf츦,5ɼ8GX6,s24.P5t#wyrwOѡMcڟH{ \N^mHZl'[<%KWM`Qd˹z9q!ޚh]IR x DፌyA-F(tLg@:.R<{pg^RG|4j|XkV0$o 1G镼b甇WӱT%4Ԫi$UJ$+'xA[B : ^1^TWrc$%lkJAhS,(0c׍UIr,IǦ؏\@Gf'MU|w/Tue>PP9lN=9S@{ŕp*\w Yn-Б,,;^me$u\ ۳vͮ0-cgQV(:ړsw<|`IP+3ϳʻ|TSIC̿5vih|"sw}@ $#6(ө"뉧qb1 s7˝ԂzMl?/`udt@f+8 ~b-ic l"ku~Ls`/C#Ap%1)TX&LO& %$~ʑȔ2F ik<'gijuQS7&` CI4-bx7[kA(lEok&4bET37aԽһIԉ{! On[K1L)zm'uB6:Xsi9ϳ/'A7r)%^ 8؇ 9,Kp5ٙ|qT8D`N! ی b*;HCWBiVPDdM<\COQ>UC'4,/U}rJ?&HRQP摬Π[#x0ֽ1;up'8,MR[|0 D@۾wEq3es6|GBDė!"X=&BX>Į; Ci춵 %& .@Ew1N<U0'd "!n12O, 1/Gz#H.+ucgR:y[$^p4Dh3ڹ _~$$L"?cߗ4Zdp?-h.\lT趛vqxu6lqє.Ԇskc6P^:L/$pUbNQc /R-3#nDm(nȿ=dP9U8(J/7J(%`7 ap*8rw N08u\RMꗒ;~FF0 L Q9)"0XD0i<ŁU**U+ؓX24yMTdmr 2f<~bKpB$8_`p2_L! i5F(lYp_Νg+3Ezd(շGNq A &Bd`T': ($ b5& Mtm7iu7K5D.ih*[dAbbK5n݇㻕$vRԟZ=dy#]7ɾ?KCX>|?{5w#w!Ĥ:%v ˗GpUt $*NB4^IY•'z8,Pͺh ?c頟-<kea+Pưm2̽*!jS5=4iAV8 ''I?00&T͝ݧFT{[j>↱T>Q)irͱth4, bR(#WYz[5ٛx%SB pԙ[tKlR WST0xVO#:@َ!d.g,Rxq4j#*{F{b;eܻ5l_w㞂U}U3fϖ`4Ǻ"$efoe5YRĥ:]ZmpfTׇ4#=2"?5=/ OS+5B6wD^q,)W2$rOv*f͖4%Ю&I>{J~1?0[0r;KNX"rO]75E1N@S^ glҪD?W %|m UjtJrZ] \E EEPÃ6۳Ey @J8FTe8@#QcvXAmm}mǐV8/V^{S"^,O~F3;N^A:o*ҘGn38cGQ!KGy;::uFɶaw|:eF4h͓A7:L=V7P1o3BRf?yXoP7~isppOcO4d`B)յ4&G?@J!ۉ̽w$Nbwy,lқR#ARn0,';1]muZu/LfzB (q:Zu!yD npLWҩ+ 9v"#H;&K0;9mz~#8QDIƞԙ0iIȑLk6~cM;Zl͉0NYTɚM .$xki!pcwv 38?'E1>phzG3ǒEcś4l3RH^j+Q:anAx~}%O<) Q_P J:B@` ;B{;zC B؇T A1}H~[gܑa 9YDGT (MOrj"EuВ}Y&&4XRxɽcy^:2|}HAQH#4 |,/f4lI(M?\=_ӈFG?teƲOcGu2ꞞcK$75JhSw\Ў6 a|ep,D&>tRʀdNpr23[ 4n.xy EߜXtq/Mbѕ1%hF#\R`^7̓:ܬn.'gW^xZF.]3(ѐ7/_Y9?0k$I q 1|vAwa}H:iD}>- gPMɟ0ITdT(c_y:szLA.%cLߘLgY 14&. ;~M> 3qF&C*w¡Krߕb- ylE0ei& JuLC-KP0nsxMh V>Q}q%QG NGT_ =BaMh!p#8osI o&qϮUAe&QPvPy -if=:f&0KQ7∬tid͍M7h"0Q{Kߚ/-ӓ&hQig֧'説l`?cb:mdiLyâ!F11_ȗ!<]{΅s/A9Λ2:{^e.[ĥm}\%1v|(j\E' /5-1Ϛߺx(]-G,҇Pph;+/f&C쀧"zxwiK=+:#l"=GxH̑$1*^$Cv6u'bpd=m, ҥ7s RƴVKW EC~F,%P@<.M48m~ycDUcJ!cTSx >\(6mw]|OˎFHBD$i"i'Jh, ܅H\5 |!4v}>/YaMLjR  T( T@"DhR@ )"V"Q 4A*B^**,7J@BE lQHbf'#vL 2ɹ{ HskG&g:+A<0Z8Z쩆d)Ou!a}^ct8ҡf8 &$gt/|FVr'X4hR*A*}i4`C%a-HW *N0?Od=1Fq4Wk1P+<$| |"- ")9)Q 1y8ق, Gp9Lʯ2쾴9Bb+97-R$Ֆ`ˡĝᝦe̦LJe;lbQ2h5r%}Y{e_dr>(_Fľ~BV:)\~.}Dӣ!\Dz47Kq.^&32Oށ.) Yp! #PǛ:ZHoh3'& E_ k)PD`J0r u+B|r~9:(}z726h.Y#}u],ɍ9;ߨ",՜L_( =2:vQ|I"\SvfFCܗw@B_):FVU4H(@ͧ1>㨌b Hњ2og #8t..2EO '\28h&D8~|)28{rm'_J&?KK3aB7S13P,a^v$5|YpG{jvB}E7C9Q CIu 1fh~ږT .Ч-eu4XKuqx|AְǍWGǘQiP.xqKC&oe~8ۍЯvs^;XO>ީ$*u&se'LŠH"a + n/|B;q,Cᛄ>"jPw Q`EI v)>-NLeQž3YvaT9$Ye=XiqwI2otj4bwꤰʛ._$NQ &â2}O:ⓡ6DpXCSD Ԑ.$iV3ͤ';Y.I_armܻsr`W'Xv w=$TV`e#PY7OTJo{XAȞ}J{?NY,.M&unH<(P KBo7T(H_AXnD>B`ܗ L"z?!K8Gw יx|rmi8ǹ>urfOz0QMAedՎ$g%(gh7@|Hç`'}O7S͑6IԟHۓlON8DLbxӽzptt=>Rh&3&xէM`R&ҝ8WnlmfX6^& 2fZR0|"b0v(x_z%匟 'ˀ6sDǠ(3Z#/Y&E";/ͷg gǢ j<9{ֻ*!wR?j?W QJvc[\=ï4B]r$2%QAl:NC\:/JrX?j赶mmkl(*>#{n]?w7;'eeHȇ;YUtٖD||t`qww>iO4Na~Y;ĥ&?yGw+x jS\:d9Cn!M6\}}cA f;=ynP$ @$ @'M>09ǓHn^q2MZvݧxncdVmDN@ܐ~AB(GP:B_}Kɡ6AH-b(lQ~ű]Z)o8$;Dj8и:Ho@B) AW\Yx?#[[q i}*(TJTZ-V2m+5qsP*BxD bCm:fj7ƧL~YeS} * nk."O)$Rjiڕ?]?[+y8'8d+D{LaKU$" Z2)ċT"ԍGU$CsԐ#8~d0D!|2'BI2ݓRt3vyHn ಸlE܀Lm7A+1ݹ+.rG^<.Q7J#BpxQd*&X5S/_$W /Ti )>栝f<%J|0bC%^(`|3$]ĭDYvdØPc,{2NYl@zHQFhoiWsD@P{t"q \#*0Z{$xeѬz%aJsWJ3&/)cY+]y2j!'}iVaaw@1#фm׆RPgQ_hsHC>g9s~\FN*2utq.wS&TSbMLSp+K`2b __$`Ro^G s1'Od6E4ƓO4I5 x]٤Pz0&!!<嶸S-G@Hwʘ`ٟfΰμ:JReP[7G=pr$Y q%fxCO1#^<Qԗ#{Ⱥ>(e{/LC$-G_w 6ȬI-{  ydt.SJˡAx!o1XɻpAPVIN!K@SЯ:>桞z략W.{=s5uݭV_.g>"l]w]=voowzv7}36U}[}7yݯ{5wl\iʹWtwgKWŏk]=gw};t/ww=ny[}Ow[&nn㋽ln}Vۯkݽލwo>ѷXFyn{{[;׵YVtsYvحg;Ͼwsx[^ou\y;[}7i=u绽gλbou˝{ݼV=x뷻ws>{ڽ5yT׏z3q[{.wJ'l'Ͻm+c}{_n9Ww]].zjw'v}w{G6Wgm׹o<ݻIn\awM}{>着8;Z;ܯڽϱOuyNyۺ{_{K<{_w{}۾|yϾzs׷v 㻽ZvJﺾͱnRGϝS@jk@ hҀ }RP PO}@f>wP P>} (}/: ^{y{@iT sy}PPh>>}yހ5(7{2( >{ҀH P<E(> Bh>zP5@ t{޶LM@iӮ(@@(t>[ٜ}|mZKjm7{'isk;5EUU5&Ud[f ff{52MFiH٭fZƩ+5!ڶT*ZImZVZնU[mmYfUM\LmmU3MVfZɓbf6eU-i-5QjٴĆlڕK%#i2JfK+hme(6ڂh(֤MlfJkDQU hlM,[h(5ѻtnE*UR$U$JH QD(J P$REHRAI "!EJ*U I(TURT))EI *T"()D O{w=eB AJH* UIBTT(!PIAJRAmS&kd}Jhi@mQ+7ܓehPws 5w`ީU:6hC}ﹽ 44::{<{ihz}m|si훙uUyE4:zI=]/@ 4}\f}{=m)fUMUVۻvﯞ6Jvej=4;Z{6oZiS>}}Ap{﷖w՞^ޝR7I5uֺ;֭nkvky׻Ξ{۶r{E{^u}޳ֺ{/>}VW{z;EӻBTh=QE[5S]ﭼd{tw^su{{"w՞>ak_g݈E{=r6kZ8nϾ{4Y{o`:b=]T(o^۳;ܾ-T-ZUKYklz%>N{w2}{EىoR{"Z}FN}zs;t {|o(}e/ME֒TOꋺxY%G{:tcӻj/>ճml{lwmٮ>ޏvxOj^-1 ˻3}_N}'׷.}_['7vb}w{}O{vws{zkޚ/xMlDw\V}}eOy޾w}Eܔnknpgپo}$\{}nowO[+kj}k{5tݗ͞kn|{w7lֽt港|:yWmmվ^K>g^k=_7s[혐"=;kUtem.ޖԅޞs4Uvϻx=*7}k${>wG秩o}|}]7rwn{o^CR{;޽No__{J}m}D*{w}ѷMo0>>Mޚz׾֡*Eo{Tn茶ڏۮZ:-uxwNXqlYh88{[sOZܛ֜{jX/ 7ce}mުw}9om}޲m}TWaѽw_wOa{_M6ouwPs^mmwmn{zo7tom>[4o{}}ݽ[Sz/5\׽]vo{֎yۥ}k}{ރ^{QwU[1ޛ{=A'[fv.۽V\Ovf9{w7}[ ̮MR}N}Wo7uԵwhO}};N7F{tﺛ6ukk{:pqgճzOy%=ո{ת2^xv]s{3֩{c}ŵZᄎ}}mӾvϣ}{9Ŷswﯾg_TrW^lZk|Ɍ{}}[_}r;n3urޟ}wzwۯ5uμtkw]Lz{g{wwtޅz\z7|Z3TMڣ>|{z[m{ϾLϯie}}/o^vͷ9]ϾsYe_vϬ}[ͼW^ov+}^L{77oOzf\8V՛VUVʍ6[klVpyݷw}gM=[N;;{owoo{w2{s=[T򝾾;يus3q>UW'yΎ{mvOu2뻹un}=oK[o{t+-_[wzQo>]ԾnMi]}m_NoyqtǞwElmz7w_vo{z֭lݣu=z۷zۏnu^{mz<_^徽kvV{{=xgteztUϟ|I޶u7n.ݚﻞGv{}y;w{rWr^gw;[׼ynҹw.q=u֫wsFjnޗoWNwϟs޾[}wݮ뼻[|g]vzwZowlnwoNi}]\^y /W {$u[mwsg{=w}^}&׷=O{iu{{yuoe>}vw޻݇|}QyWuozn={ayY۽6񞻎7v}ݫk{wyxxl}wz;9)yڽZ{^׃mo^mw{꯻uMڼժtwo}ݹwygzz^Oy={}ھw_z]v޻;@z J P}ΠPOj P5f@يEm(PǽE T "Po}۾jQUʊw{5!HAQWcRzi/1Ww=ُg^O{;kmivٽ1wuw{}}q=-{_/o{ϭN޸{u3w[km7sZ׶ו[|ކlʻ\=nv_sn}[oUL M 4iѦL 4izh F ` *10M01 44ѦM42` @L4 4iT M0M 14hhhM2R! @iHDCMh%)  dM4 24bh4 F 4@L>@'3('I*h\\K#-ݶ򧧆ZAt֦4L@F,-v^]pvO触F)O4hQqn^ޠPEښSTJi~ipEycjmn mMhEtreMǘg/nCO[)Nܸ\:6LD|X}onZmʟZ|[[aJG!Lh5ۧ,xb.)mlxtG<=C4\1[1-M>16hæ zrI<<~u&b*F=4OlrڞظGPͿ9pҞ 4N[SnG攎 hNX˖-፩kxGn)1ڝ8io/yrt1FPmۆ4n 6+p.hڞ^[Ӧ6iMibvv5 iE8th.64xrvN4jӆ%ipܼ)>: S[JZ?1厡B>9B)@H^(H(,#dP ( @! !D( @ D%HD rB! @ @hA\# (KF:SoEA@f@`дTr'-) DX [r)).(p- ҃"#"11lF:[mjb"9r`bbSV"M)ma#MQ[M4H玜9`l)GMõiAM) )m-i01,mlmҜP`pґiel vA-hj E-AN]i- ijGM!i1j tԤRѤc4ҀiiSM[LXDE0"-mېJp 4tM-b|[h_\)kc1t-m1M#"-jR1m4#-n)CLb֥n DGLi(8mRԊF"4 mˇ)Ki[JSAѵ ih,,?jh8#HhHQc"9[:p6-(6_:pLJjB4馚 r[4h”ŭ V j ;pihQ-ALR Ghiؠi@#jpijiLZا @Sh8T7'ca,`v)1Mo->k?j4C٬j*4Rx6-_'mǝH"8Lkm%g F cU.˧[{*->vG QF#9=B]ܧ7; eZ.qd`,ւ#y@""S" ""@R"(@+H@ dڍe $wA p*zX!`8,@B A H!`"(Q ! EQ$0!!K DB!JP!@B "  @ 4m$$BvV w!=ZQ 2a%:=&'A;J0W@Iͻڇǿ[X'hPDBN8I.MΠ)C<. # Meɑ|7.BĀ nR)c)tx,卪Gs\£*&A\'9`1+UT>xyyf!@[r`?]I%Fڎi$! ^&Kű sp֍ۑrNj7ٰqti v&g]L>Q]`߉o_ՀV>մ.`^\,hZ+R&hM2(Z7\Si+*| L[q&c wf<@E:Z+: yp*-ର3?j\5'Wjڶ'}7Rz( 63 N hD6nHQ# oX#sÌ53-p1lalϞB UvLs-;W:]!x F()I}zL2F`5jQ)S4pf#f9G^cj/ѱ<ҺYAX5a{hH&ɼ?dnT~ 6 ".yNhQf9ZA6;NKqf53@޳xM20>.pzq)wvkcxy) Cw ֡W.v"}f!vF;/K_, "o= djLDj{+>;ۜ D|C9Rjpm .8QqQ1x"Pbsj_D[m0DS*mCk+b0]E/)5I/{pӤ&0;Lb[`:)DBd5^c즟p7lmXގM:}tk*)рAn%8B@MWh ]1dt:}cXÔ;EВ"czُ9mjmR&;Rp~M`JNHKmzNڱH\i>N*XCcXE)/Z=lq.W~M!2!9-ۢ5}Q A #bgFؼ]/rjuLJ;~sŎ_aOZ5$Q c7g|w *ה,r1G8p(Kt"HȒ%XstT.2]3o 0{TQ; >hHdJTSM{Ӿ>)JM'2Z Xsg`*;@adbLPh5Cfu9!GvȫBwdKIyk灊(6(!$ܿr[dUD.2gn}d6Nm4u)zRY?#tIw:]݁o\̔R\HtC I_6Q_Wꁞ\wsĪ< |/.ggԢ{&" Z>)-%6L D|(^bS L{?dJ1ؓe`iSQw^F as&?;^p8a|@qfCN؏7x6H:aHSi4!'Q5Ոʄ^Tԝm<u0MaӼ"']XL^Vج{ql mHS~SÆija+OsΛ"Uxc(&"(FvbRqڶco@ԸlkGE#˼1Iq~ 'L[;ڃpjN?2 pwd< aHf\7YL]% zE8zBv$m F,uE)8^/Kq\uTzSq]ӹ#?PcVG6l?+& _!͐e6Q-&οխ8zKӻٗ'[&0u;4%$2l8Q8;sDQ@_W]?(="UUՅp4.ů;l[:ҟPa gR vP!Xtj.]{$ b4Ӻ@:&G2^j K)n夲?48L lc ZNFGrчH.W~{->K#L8ZbV^kpR~lIzSDIaf<NO3Ek= /"~m!o dbөs[EK/FX_/ŭKlդ~;Uؕ4РZbS UL}@ݓX$|O@.WTE(^*a%*7p;q*JB{~,5&Rlìxl~3ӿ8#T*U`_hH""DJ8}|oV#9\2}oSg}  aY=)UU94hmfΕZLf=iryT#.S-09u94_?5/{:b/#0jf (|kBe?=-, {#WAQLM MIG5tC}\tn$pJdWԙi! W#&5z-Qoz\#O*xc-+d'I{y~/"{0B}&I">Xw58 'E؛Jë/R8Cc[; _|[d?3ݭ6@oP"tk @8Մ]1<[(;bB<(XT%3!ci u-f[?t`JT#x~F;dR]6QO_4pu%v|=/gGN R`dv嵉+ ,YF\f7>fOj@W%6s ʉB u;18D=43kFwq~8f<,AÌ QAD98wN7/wt!ɇx Ł>Jb[N2'+oͥwF` s^;}:t hpP``~E{ ěcw?yO#Ľi|Mʇ0og׆wmLw^%5>\c[*Io !;ݤyZHMi.k:u:|LkRY5$4m% ,5~nKjeᝑ4&)Q ?1i@Z~@I$x\U6yrC*lCn&SA ᭹dҕnHf2Fe(ԎaN-ſTAG@ ^_W&{νP8f^~An:/isyL.;$"ctLcP]-p4 գH3Ps/4dw!O49'&K[~1.RcK=S]q2ʯC|ʘv0|bM [BgOu#$aq0> e K=eF^~S|pD%5)sc,ȡ&R$ԏ6})A1ӦrcSc!g< (^lO_`n(;u-56}+puL.RƗIa1*jْG7]0 ݗif(M]l \oPv \YgM\*ϓs5#5|"0s֯n ,/a_,Y]bs㭃Imgէ9v"!w[é=L&ﰖW\㒲baY>\.W-}[əG2?w~]3`Wj2^P>ﷅ޽뤬K:hFˬ"#(cFL鿵QCgsW0Tstn ,vM*ӊMY-:1D1:{=9%!W rE@<&@Nq6sc;]4?l7S>"}(Y{<2F*əHjd WHP$!e'ҖZF .EqMud \0Abm έA|MM_ fւ#j{mN|$;RI'yvW,cA Oγt#"WGƅ;]NY`=]wU }1Q&#,zBߺR3K~}c%EGW6i/ t(v4TmgTߠ@%ng db CVj`/%+J.E[DLkf`3'{%Bݜ [Xt_UBN]ߢ█YJ_O=OHXȘLyrx%7o}z-سO=D$7Nⶫ[B_p}ۆƱ SH8(sm&7b|falۦ] (%:o){VqxgB:ؖq@y:|Q ee|V݂S?z09'S59)ڰIӟ.h1[ KEz 3nK 1AQҵ2s{--ipexGKmY>դw&򓘭)cjP>J^DZ7MkK6Y,;ןϚoKB6L*zU,9ꨳN0 []H4jY=#x@ݾǃk!$m=Ntp 2²ӪE<9o ۯ>ָ/Lj<]xqiN[X31W×?|g#{ 1"` DJes|Z+TJ?ږ>*N,f}ćm5'-kԳjv3U1υkM7! eζ0W): @7o1|`>#a#Mp] lg-E*t͜x hLOJ&"Б~MR>%0}tgzpGr'p&|gnHɭYܘ~0!QB ؄`UX?9/dZ<MnٓAUpª84v2ƎM5P?Ŝ.A|F+;'zwM)[ïeד h<$v `']Jkņ%}76< xJnіJDz1Dշ{Q89̞[3SИtҲwLf٤.O0[ľ×azP /G1Ӊ.۞lQn+;JQ8<y ,Hcj@= GLBgHQԁƍLҍI1R͹$pkδ)i:Pɕe( =EP|/B0Y'd=-xBr\/,=diWX l ]AኌƖ[EҴDF; c|:'Mۭ!Zȵ{B|2F1STpP!h"R!%j:UVӓM4^Xm)0; "(No4e0VzN\toalwiW3r:<"t+sv)bXûMexz+ YiHG࠸;ۇ\Z8BQOuE 5fy߾іOӠ1EO[ 3i",yMrKW7 vy9;aaQ. XPVƑ~%ŏ8P܉bT'J`2ɖ.$XTf۾;;2E&ד,rU>H7BOgƷW{b&:_۫%ioZy|̨avA?msktm{ޡƦZ/5ێerN__m|n#VUfnZ+໫nHMl6,{?f6):|ȎL%Kq-Glb`sfb 2lR4$tI+pf&j'q8?8|Sf,`>z]yGHc~Уy;$8ܼ/fxa =ENW 쯨"TΟDLGѰb pƔDeTqq~ۘsc5|6lPybn¡zE  =_s^%,0|LNGe&28KB1P,mZ!aM+xR~L*xX0&J4< /M c}zP]2j<Y`쫬 o4H Ϟ~>+)  ܇'õGDmȜC+n2LK+{4>r;c%{VNMr?s;%G^ cbwiH`zDloO,F?PO !a*lU#n'm<mv|ǛΓN1f@~UM֕%0 >JawN0\6]KI@:J2U;uo<&߼gxpKEC29nP Uq h6.n ܧ(rN+Wkf%'[M}]N 3 @oGz #d}Wr5P5 >:M9v}YRqg=m1oreU,Jp% u0BdGcz֑r=6܌,t295GtyAO8x.s饬hҿY,NNK0YVafVl&N#XX"X^^L^UƁIg`Y߁ҳ4(U- WMY!$3!C*۴( +64.MEN Fz|"tM\`3 j}z9l~|>K+W7>Fh c Ny c }^nCxaZLP=ox471\!˨` :$,!t^?x>2IN,~NC Y|qF_;sQϋ))@=0A,ڿFWW d: pA f. \?fY%T=FrV7cXm\nlG Q-wTY y ?KE`؇3>2ko]SKB'XVBƛ+>OM i;A9 ;Ҏd^JoNY Jl3S\S?]}? ^7PhC,8IW@,Dr_=/oמ]X]wo~#GV-Uvw7e.Mǜ ڇ/w8ffeieieoR1>cˮX+8Bpn֑|F2^+t'ǁ/ɢhfb'욏mvW'rv?KJkXZ}U4nsV2~UfƸ 8CQ\>`4tCC,!I:[8f8$;@Ǚb19 BZBx#JRwGlf8Q339wk X 3@^C`?`@ha 5a4|Q ^l9 /r&z>-4wEx/ 2{q"#7RxbE.1=Hj(9#bt<M6>EZ*Rdg(bg x,o6͛s1(IN_ ,,˵N zIMcٺT{$5x|P(\IݑX>Bdɪftu/b}" >.FYM}!퇓#"A:c~Gpnda.i?1ڴbvs્ _#tý-@0_ _YP5PtǍ;0zF'sc8+3 5vTXTjY-o.?7=Phm}2zt}H*iĺ'uq#S&uP|kW~<#La m#.&w/W|F:BGWt13ie x}A0IF8@D_,#_XNxm{E WGq]) ɋos&@)F Hmu8mO #cKh/8=V!kĠ ڜpdx3K00{@ˑ}1폼I~ ݏ<_ { "HoHjF6(+(miS'jȡa 2a /WxiSeK #sUjgC O+f =Q6gwuJpl6loAM7Fn5ٔaQ9Z^%F}%(K4҉%dix@E^KEp47PIK+!kӑˁ6oZ[7V@;l-˱({^z4J?v`YMSQ*޾iKE"S7 u~;XA@;󫿤:7z9!h~5[4ǗK)i uvN,ݜ_Uso;3R< *.o0@HlXc#؇i_X9LYߵ@ r (l晐[&NF鵼72{riID4pוgrIFseU늜[ =mQβ?L 1'0ncjOay UZ7LLs)?fIFD_J> ,fCypY5t}g}NQJ] V25t,Dy7P+}q 9$~Jgh^e/\PϳPb5elWz| [IGL7 `o;$y=DSph_ .Ĝ]鵞zjƬbv3L vh=)H5dTj_0)Bi ^R"*7'JVkB Cw ɠGd"pQlGi{iwO-,NH|4(PBIadɓ2&P,ll4+FQ2<OID2XS&ضF`ލS XoJsf 1~ xQ'ev h!1 ۲g,ES.]%cDfCa6ӈdpY RU[ϸϵ?.*&Omب3b`DJx'*J8Зl2S;_Qn s>P_ q'8F8qtK|ɇ}0}|D'^zmHOye1AHqkL] wTpo-a:z nAg mAjvz< #X&}ݧi]z'1ɏrrd\Z2ql>ey4O\)(k`wshaD e6U~<Cs;D&j:ԲP,/R*01$HlK,X(WCHЎ}g)jP9:CVҭnIzo4ocq;XCH^ҤhxSOo=3')z~f1Oi˃4>k:H^:VOoc.ŕ;RW@XU,&4c~oP(H7ڸٌR fw4 1. , k)2`*l_p$b"Sݵ)w{o]k uHe؃!01Ck8&ǽ8;I b)Mzm Ѳ 'KI˾9Ɔ>T)E2MDF*L!ԷlM$3[(f0+MakFPꜹz oO:,2N[ޜ,껪H ͗gҏ_c>Fxzg4~ًdilsAg=hsi+Icͷ沀F?}:=r%zNq7w>RuF$jܭ-`O) S z@]Lv)s6'@w }\E_q^ֹhҀЧY; ^WGrխUu^netwi}|uan+++5*nYMJf<~FoTO9QGe 7Kౄ9z7|{_U5AI>ѴQU,O4}lG|c%hH<{:H>~ cQ?+̩>uoi<͓NNhjH޵f+,HcLs;drKye&r|~oM_3T# 6`c a :ŴcaN)gd8$@UkI/q) EIpMRDZ<}=(IПaن9ì0 / @d=؝zwRYx7{\b.H%vԼި/xvQ*S&}^rT3 ka,'|>=1sNs6Ø :4%}QG)l>h@0|qVK{33`xk5=AIٍHu1rM&):7RTh/FZXIpdN9*eZ׆Csj]\rU6ݗ|# pzSm(Y^%;|l-J#U-2D.D[IRĺC v9$=\gL6_OҮEklj-\S)Y6/PfU_;c%v/ f8 H}UM Pg`:v9CD%xpl ΐ別7u}& 0^_YCQܪP翺ϱ{|yx̠j8#f&E;LѮtŝ񉤀Ӂ18 rӥ=8WMxm&Bs)Eo=C$6BfH5 Ce#05X`Nd Lst >]Y6Cb9FЯl.he%O*,X}7f ۝6^7W?0GKo~-WCt.JewkW峕[һ&Xh¯RqȖZ0l2NAc5,%p^@2n+ysWa}'Т5FLjcw./v(#oŎlI8ut&޵Pܸ+'md=VNG b@Va㊅g<}tP%DPN") NB+a HEJ;s_]瘀رkszX&ri]qG`k 4в`^ ܠkRw71+v,dNyl≫0j~3$b7Ñ.HazutO#ѲOObQNΡkM$d ~8S!7񸻒PY9k?rCqIDsnfF2 ⩅b퍷 ^ _ Q =jl'蕳/z>Q.Q}\%޶DyjqʐPX8+uE?"76u6p']Ŵ>&-%-=s-y6I 6sd~We[^ @Ѡ>3g{S4S&Ŏ<,|H8`:0TnAA 0~mُ[G+xϻuUX%vx~ p¥J\cTHD_O m\E=r"c.o;܁qtۮ<{3RhYhw})i\5dz4zG)JO+ߨ~>4B{(6V\1>:Ҧ%_磾ۖI'׍NFC+܇(tԒA85&Z<QBƙ-f|m-f?g̑T^w.ti^c,{ g4PPuWo`[]_o{>.r`tQ~l&LO#d{azQb:2ljlms4͇ħXrp!?۬riN'~ q2c>gGvqFR>r/ƈd;^_qo m'ϡLAs:gh?g];ŌC5;,<†jFdokGt|xO/QKYʖvX(CzĢL3; 0T4ϊ4)h"Y3'eI|a $K~^׶6w?kPdR`:Ҥ8B*YlQ$Gwj|jF+o |ӚyKGH/r3|^g;TppW2$`/ᐺVf_S1${$]3@.IF[oaN$όc=7w&:E`*BM =zBeX5ХR;LvY*,,m.<`$-q!ZTUn=GZ Rc @n 5KN ~)w`-A:"Mo(S$x}O:@z @xizsn>y(b N;q-J Ho CH[i*Ff%#rAndlI9UL 2ybC0?^*y8g7/t't_s_8"HBVB;|3K.Q=HrN]Lx՛4׮ƈHd͌]s k8 Kz xݾ!=p<xBQQہ˥ sĊI6LEuƼaXdDDCt#&I$l‡ׇMmD0IDM'7p0n{POL: )3nP֊$'~ޘ3O!$0 /k0I*+Y2:G/\١ŗj$ n#=#ws}7OWYPw;'Š:H'k;fmWU =۵ܺ9-~ 5g Wt\^=mpt  mW"P7.)[&udO&+恉l>sRןUכxpڽ Oİ0 LwڋTy|;ԟL ??4G[ԹC,乩Fܶ 9΍$7g.G^[iOeE8 ?!FT.`ÒwH)D ]U텻#v_gimL(DđR7Sl]V L=L(F}卋݅)p#3wpe)?b]3F7a[4Vo v3r10ɐTIH8dz]DiI?qv=0.q?qjh:Vi{>])w#Z?fVt~ Qƫ)Jz9`Yee_ud}ȯ;H3Hjy T9,r$^;<|7~d?ҊFtZPy NfYۄʏ֢GٕqxSqP *_ݧ6KUjfFax'NSzQN~ʂg&1Ի.x"tw865J4sV>7,;j ieMK9e=n#+wmn¶㝟grm|2-Mz˟]yחUlACH2}.%F2gdTit[24gohba\u=LJ! 2F+Ql>Kox#3śn[0C Ȏ.U):;gtL\)ݙ3OY V2w9)'$KHHdYѲ}'7D%)2NjB >P/U.^u ;rmk+ @䔠Ψ,wǫ]tr:-@xY]g)_:}nNJ&1*?\U U@P{hTJj=)ܾ?FC/ܤ]&Ps*4PդTԭ.e`!e=i m:IϦ'"k̾lB-8=eG &IԿfV8Pj/NJ]>RqK̤ru|)T'*oBk))iqdW':dzQ g)kh3ߚN${sSHm ]{\bjW٬F2( ({}1nxku 5? ]1FCz@s'h KJULkNAHI6RR^ʆ<{ hllƇfU s?Y(/KK&†MJ% PPn%8gn#OTDp\TN $s;OWy5"9./; "GU8ٲfN rL8ۊ/e "fawɀ@|6urpk%Vd$.KC^}㈖鵀"CCZ1/9JLWCU߸gx4AN$ڒ%GW'{/J&Ҡ_\o'X "8*&r3etYYJ*XVY75/$6[9QIWC@RLtna~2F#*[l ҎmڿT/]O9@th !d C29q8PXC` QP]jelu+Cw;"8_=R?ρ#[w;vYqp&!;\sz,~8y*_uc駸% ύf\Mߒ2e6XP 6M2!~7d?'(H37Z+E6fep{Q檲ːsKLY+bV Hg͝nyM{9 PL?7\ʣyIy'[:q,;RQ$ez?p5Ù3*606\ q%ӱ7LOݘ>WH\CuR;AńF|8kU{PRxVtiw'Ɍ"Opغ?^0&Rl}Vov@idFI4$ò| :t<.g@J))˚ 1 lCʲAǵRNB'civ9eD࠾x"@yؓ %~3Y'[B>2ՑN'.NDBxE-vXNУ݊!\\?Xn>h;:[^ T%hˊR}[&q ΁f,ݬi~NIUS`?NpI?*ŶVC'ڥhQNhqee|D]M~F%mY ~DXj,HoJ$h&D@JhݎMTJĚU޲Y3RvPg hw5W ݯ:rxн9SRmz;> &_)ʌLuhyDNbM*3u8=0 s{cǾ1V+= zMi>}w}+-L]&_6y'U4W41j ,})#:_h_NP'Kn҅s?aH) DϿ_}W/RUl{BXq+BS.lt0Bv|+cJY^x6U#-rgw'ƽi$ԉ lNeȸ/AA?8=hf1'5~HZ8P7pEikzhJ^ho6&,8m`^Spƺ==oY'oH~GEZdTY?6A5./J\O!R0D E&Vb.O/X§RuA[xVn!m-Q|mk`8kKN6v}Ήydд:?Y<=WO۩,6VFcrp4*[s1 +ѕB3>% Mi4u՝EŴޥ"~à<#F] ѹ85lӜ\r ~8iMIQAJ0UYs50\MiH;GX|X'͐9Y1a Ǚ1 nS0|= p=Xp~8(C tZ'cClztGl7)bh#gHc\1WVE-@&pELKDUύ4eEzQli#$%;UN͠67$Gt4$xK5;:o4AIBj~tP`F<_ka ՌP"3NkOc\vf`'|,J|lb\zĽ[ 'xVJD_UC-MQO /:pKAr+N/?`<d}$2eb"8u%O"X֊nlQ*}j q[{è(zxB!Ӿs.cR6y6Lnv??Rj0~Uj E[h6¤ԷTJ1?~pqch@@&\f~˽^Iw٢XB u4B=( ^GhQܼW N`#\KAn{RhB Kȿb,oaf!'Ty!*|2K@)2-y&R-_t>@aF-ll13eyqJTDtSKM(5i=H},EFhDLXe*82xRŸliXl35X4x%\84dH8}6yZA6ml+m`ܹ@j4ٺ-mPÚ F"ހh%AXmkO(2F4 j)|$yyL-C8+s03STW"pz7_>e]4H yz j_5x+"OaSfi%i]h2qKb};QW_CpT+Rb8딮g^8?2Sp~~ o@E':#yk* CRsD?u)/HgOJ7h ˱;d/'.uX~w)͘ʏl{FJeB?xzmFL_7թ[C}ޓdlvFpLf"e .NGJ?Q3!40V,PV3,ca.$D-{ޝRa/_`X壈{ʉ6Pehl#7A9: @ec2㴰;?ؓVRv^a;y c_]moau3).LoWe@`(KYi‰Jt$>&[ ?m kv?4GXɸS|Y&ƗfL}]rZΫqc@eʨQVkyF]/*х4 Sbs*HC7>Dʘv.S`RO"(fmL! .ed 5Io/COBb%fxCurFt&NoECR?>7~e`w/d,?o XcCR>p ql%CUoh@c>y\UȟA;<%2)Q]q*9tLg^C[#&!aOe)^jh  &h:ᙛ.80R_9Hqat.\wn\6 _ԥs ts`fBk4y)?`0kR)9[Hp>gUdAJ b0t1Np2> ";3IV _)I+ATՙiw@>nEitzn[J|(DɎ'3խTYSW m^r%AT$+}Op<go&+婨[Mٻ&jBjqpY7͡cw[r?\ uf7ONzRR;~ ,ъ'b14VR}\1;3ĉ4KdPрlP]P rJ/T΀[pd'6jN}`Jf8>@|M$t9%Y,y+|ZMvt+v}+?@rJ2osϨlEyNGB (SpMܯdu^RwErG. ce=I6jӒrƞKErk)h$cE. 74 ;p |{_XC H)G?mdK; ΐ=,@@ؑOʋ̺gP4p표XP򠩏^aMrz\/B`_H ߣp@Zi 4uZm=c'?xfߵӴrj>k`*uW^芨5"/-PĹ8n9˅"'ɵ6s,69ŕ]",)V!{);rJ!6x<7>,:Dv{%3,\|g$9:cP'%ٶL8&Lîp85}B lx"DkT| ~NR 5nE}xyV0E8Л Oq)@0(pS[]9jRҀƸ=F-Q% *!pA,:غ&vv c ?M2\p?Q'/:gK =24>[XcZ>=ðV'h:50\z)$!u>M1on6EޙSh5nCYZ+a-迣8oQrз뺥S8RK|&[56q)*UԔ0hMƿ˵O.ZӢݺ]-;u2ΊW$fnj6dLd[^TvHui-*U&L4bS;{RYT2l{ $!x)1!O"@^1+}}ĸXĘ=;ctf~fhTIt-1JD=: NRN@- OMoC_d{>U;C)XJqjͶ?/ƸSχKGn ln]WJXeemt~uR $QA [wMsc݈&=8.y6BKF(ǯa*02o{W`).a,7M wڪ&I2L>G_]k?$TaokAYç)qCւʍ{۰pJ^tF~Ԏ (ez~c+2P,F#1,)rg7O?Dy <{߆ܽ`.)$:YToʮ\2v b:tE. R[ >IU/a5F@.vt*34;R~5NT(~3HE&#EP='fgGL|j Y i3io$RyJ·wbĂΝ.9^hC}:9ۖҚ 0:4ziyJXH*w /5btR`c 4-սC!&&KB5&)\S0l\S Ehg _cKmuX K99g&Ï., ,pw2k(ӏvKL|Rtga0|bLFFy>Ԕ{#\V~#A cuh{s# )Rq"`z/ܩX 7 36VdB@mwP0bY.: UznJI j|ݡ8 Rp^|_\@z!(08#s`\|ˢSDS8Y.51Bn|>J'ȣǴ֭ZJhad$<- ,iʼT?:ai̊aK9O `aNXٙArR%RGt=Zm;) M7t]akiC[/uL#sPY@=S(x!RLfpŕHc]#_M;7(,?+` @-xϭot2`YFc(ƤKF |-xS^Mlqc~jϳ &e3o!F~4?$iiJ:/MlRFٰ] 62UJC݅iDǏP+D!,‡)sed28SECf(iBib}?2?zthRã ['e9˧{j;Ի׶{ggg!{g;>+&OH3$3]t<ݥ-%zv6leQg bO?|!3(mg}nþHhrbOn4FDģFaHPt?e?28ؐ'f%Y8eܵxoʙy?fV/&EbdRD&xMo4;ٽT: |ƾ}Ù-ZH*C=,F2"~|L=U|rN'bZ,/'a<ZLjntZ]I7vo9yمɷKɺ~;_(`z~3TV)1eI՘cpv?PD\SUӢ5xJs(cxU[7*OPfv1x\U^b.*󌴑Ig;ÀG%p@ыzƧRnăUe<#,zHøH),P7|g(LqWCTHYF%(z-: sIb Ȁ ]2i/ҔV .lxY ډ6;Tl@BsH~Բ Sm>w˼l>'!|eH㿍1upi!~K,V@q֗K x}_RM;Z!><#d$V+;z6J%Oӿd ?%!N[~36|UGcw[%r-$ga*B^ؑ^ bSw*b19EF'0BˌYgT2ɨ#/ _IsʊkK/PEtJVmvpI!ׁw8 <ݨCl||-hGRѧ?p&\u1!mRafoi,`<uXӞP"w|_a+Z3lz[{~QDp ru΃s>^r夋2Q. ;ZQʼ0?((};?B 4MBZ5"h}3FP!Ezvg;cE=1;Og#1NRk4&g_fZ%L?geQG8cl}` 4Dn{E{>DgsIFa?rc||@QP?q*GqYUt!-}Ym4sߍxJiDF#'nGYI:qw^. q8q?c?ЗQQKC-t/oQw=){RyfB{bT*s]zG3$,y*ė D^@D yySve!z,@^㻥hLetq-= _KVSO#j~Q'>>= I(nVR:0pV(U[:,`nX! .gߒ7@C)9r$~z(wsL]Ke\B̢&.HIklOHaSOxIɭ?Mۻ{ձ:Ϗ'uDGmSB^8^&G捌%>6VAfˢ`u̾}x26 SY(g"nw XL[s$L&TI3uF-;Ǧ7ORD^=&K{VB_608ZCsj yO#@J. %^m\g4}K2WmzfGmv¡u?x4_`l|ILesN:aRd2iI4wHÂ]y'4[OrR7IGݧM+Mpc'*A>8 (`8''6!XG6EJd8_}v BN.s|lVAW 8Ѽhv.اʗߗO8߇Xi~ %t%2>Cὤ !*Īx+iz}$&–[V>CȐ tKHDD-Td8Ɍ&vf,JiSd`s_F"|QgЍA(c]8MS ɛ/[,!,. 6`w7"=bqZr Ol17Є~٭IYdz;_;gc\}3{ю|~D`ǕRםyjN1 -oq\ώ6*e-ޓAE``5t>'Ni;o`OܰKđ& -`5wN{C X;}[:GU\^z\&yjڛP3)ˮJ5,镔`ǧgh?Ʀl1O]DunI6=g~OM)ݻwc bB ;9 P/p:s/ܹl, [ӲG'Faf †\6 gi;4\6M2/Vi|͉ È>?SxPfI$}zw~ρ!?uҠED!Bā_kh%fI ._=p]OBt?Ni|5y "Ǥ桪^-p}Რx@rR[Y;v(LY`f+}ĭnBَ+ F'k E#hV3_:n(ٓD]i%ٖ6=*Uೀ` {c(H{p$ 1-lq5p%z1;Z375\}òL*l iwz:K7M P׫nKa!omBn?I;g/Yo@  oȖ%'1ɥJj. ͼCRp|2D]Qqf>p=xO!iWQ$& _Y1(kkӏ҇J~p\9BDv uܥ$XTzp2 $"wC=i v4RC,)tZPGS+>|/d޻+I= Ϩ,c*S$ `Q/6xwKy?"v@]78$ձʳ+>cwH؊w)~9-RYi>`v )ً.[z|kYte?xD408j1w GQSS$vSLL䴁I4SoMIg78?UݽȶFUo!#*!̅ 3[EŽ*"At9N3l{|x<^ǒ[tΜ}3;emߣX(꙼{twJw僇W$reSo[䞶s)%cdHUӦ$s I\u>AJs6>^܎BUS_Ȫb5&hfUO8ZH؜h{ƇfL:3?lQ3ss>wgn~jr@wu2Z8=aP9 pjBp psCdU2kʻMdk65 ssi7H]D ͘KV4$Ǩ,66O]ntQO+ M!Θv&w DtU#b'fHo1O1[$Wh.kgQdIO6f_~?WVFr#C"by(67m?6,"xrn8<5as@n!\` +SG* Rs9Ď) F:c 651i?&uN(k^opPyR<( J7iy_;7>$#vc㟞.mbL]ÈV˘%UuX8+ar\W2aj3fӔ[ hQG{7)bxCS$4 *>1XL/?+-jV 3@xMo]jx?nS=Y:dfjWC&bf׎,|`Ge/VQ^w"BC=[(EAJ-gwܡ:xdxo׋sAS*.FO\]Sc>u.'9?F[*ಠ;JѼ:/֡}Qy3.> bR6Z^l^HfVc;{Dۘ2(Z1!+eȉ!K pxMqo.E,ŜBc}ϞS;s?C2у1'sPr'l X)@Sᾲy@s o(E(93ܺ(bW0>>{E0PVhL"׷%WqZZͪ,KV ST sp'-Z7GB)y@-qI?i%?/ˊ6]{g`,\x * &yPr@yI'.Vj~šVN{?c-ϛ]%( ('1'}BDE8FXtTN9[KMoY4 }_A)r#-_\QDzg O,VFĔP+\g-uS2OG(3<0 IP;Qs<̀9o;M3 J,!3ABUG]@D@yB]Ҡ4Dn}cj1ߎL1yz^2 ~3DǦp$_7Jn%cKiuf0{AK~즇#BeT\lS?>U̾W}*zB&@Am⃑o4yu aaV^_| 4Q-5JE{Ac^?> j\ ;2@3_\zn2K4b°0a] U[Hs\uck*ٚjŷ&5@<]#54}O~8 1ס3뎇7݇21EÐq&p5 i9P3Z1n)IEN1Y3V2V=zԥH=9G{c3Tw/bNZ9ߤ+\9B I#a< @4BpdǤkouTE2[_y31]džx\P6mXud(A! ?Q([>)",%kC¬r?d!CW͜? }hQ>Tƞ3 Ȣlj?5ZM=)0_MwA}!fD̨ %Aam QrItLec 8D?~lvQPqe2KMJ8z~;J{ɀn|kA ؀üK0ypM3ҏ iP|؂6[ˆ Rc\We.+,G<]Xc8Eak3F*M"e/w$ eŘfsz@-*EoE%bn+EB&ۭH3]IЋt8CU\4vv>9Qs7":^ M[dΥXL=֛zr], }yuvb݀8@@I2a=Ŀ+85^X[@* rkP~IGFY_ a@*nbv_JrxS-r %rvqtGgm;|O=B?#|~1iM{Aw(j6#(8$#7 xI?g'8$Pל r3,MpnR>4Ku>bݥMU}L nb]M$(cc?1'mYJ°hʷ ^(#w*ؽmM|uMPԖʩxawU9 ];'}m%q$1{mK'kS.|OyBOe&ue8ӟ֞PWHvKSxa4ov.A8;k?MZg#.! oz->ȅWxUu*ׯߘfL7Չo2z~{mjwGUI"C Ԑ2M,g3Dd&+_-&% 4l(`_ @Nfup8tA ]B 'B&3j*uS?V\Ig"/%~C4xe!""Ċkr@psFX?.,WtXY2 |Zh:ɤ^þh_d޽cloƒu\ݩ2c}a~>|OvJ,zoN LP7{sm=HV֑ĄxlI_b-ORE"$ ?I-v&X;v_#qw|L~8[d0D\۵ނD0e6 NR} 4 `Nb=h9k֜$o9 ֨<PL3 :K[IJg2XQiί˥.x  .ύ:(9Q]r pQNaXa{N9k@^'e/ӮRȏrMK@QEN;`S CNl\ iwX=l*6@+ pj="XK41$ve_( `1WJ8m7-D\qՅ p;d&ĹxC%lN۷܁/|EsR!G^gII$FDt"Htv˘eiXqrˤ=oF:`N:$`wXTK4Ss<ؿ9CYMה"RʭXx#B z:衸>9mQ`P#ǛnkKǏD6z@4 E#kj}%=`p DX&C"`0]0q~ĩh&R9\RBƟڈ8]pݒ7);#w;hVp2H A=C bU0juc2s.0b秊Цn@*G% G3 窶/L.q1'Y1@r)S ue#B.qV-w$YĖ+XHr$i?|U׾"f)z qb qUk;bh}(>a/ !OWM$/Jo _ZJL#ƯM.ɲ0C MsaAP-Vie*Ac[BΘL0vmuI"@c+|*ZYb,%01JO*<ٙ}ShÙR8->3g mr;Wߟ'U sx ǡك"ֳuwdRCJ0ɟQ?ǸEur,5;&??/}Iq|sp:;t!|Ã|CW:x>3&f0)t A:$ o 0Ҏe,P6Tmy+LR}KG*)$O6MzjSb&,(.TEJxîTdA{C PK0.A"sE+Ah}i-c2ؘRPoF{m C!duy<@i*+6iLX6C 4yd<`yG]gL{͏s^́m.Mi[Fr?vwؔPĎZ᥋Ҝ |N@US`8^;0l0_ @wlu{\]=E8|32S鐊I5-C9Z]!'m,;bi#ý6L)3O@ز|7ǨRY \46j '0Q?)L K)swe1/ Mtx9z]DRwӚ)&y.`%F%hc'Fܣp4?+ DULϻ S{ pNY`9MޖK򏦧[$^.):.y_qzIK9auIq /e<BU|ZIAj_=ġP!1/L#F޶xp.C)/+64, ȲSI#BKk~k67CwXH^ w;8:QP'c+}S@5).jRLs4ܙ%89#\8HD]3tyN#m2wF(yQ4eN_]ҫ!j_2/K РQ7AxDTd 꼪lFJ+-bZ`o6 Rq(}ע #omRD$Oe_l8E%Ƥl=C6FŤ0ɗ60V, <5>`p@Os_ѾH%y:ݲ%3]neXk*efR/ܖ g&v> BWi|.РΏ.ztY* @>:swOZ]Vk+Qc&a~ oT餟-nY;Ds䀃:ڟmlV 똼zs'?Pxf˼U6{OMqnfM>;Ox>rZw5Z7su:n{Ijvq>z?q5#1(ZH}.ꐫqKf{Z2sks6;ovJȘ;/$ *d6i7ثR] P} zA:O;om, Jed8q":.Œ [TCt 8JBg7/kFV }HP|>`zrL5oƳqqgܾό<^NeZq񉀨x>:>WH GN#pmj1}"dI5Rc}sk2U;6s t¥Fɖ.+2j0cқ`p%eNigkʞ&.gԫLOkny3 f9@iKF;g7,WX.xbLGNGش><+E,7DAShhF%> ȃu喳^6%J:xSII&SDzI=IZrćn`C)c\6 I+5@4ԣ@ӎ=bҭTijHx v+\19fW]i[~>106$j5hM a}Nn9=Fɚ|3)3~5ah2J14]u@`_`CT֗p'u}G-QC|{7'}LVN[Gs0X-DGv E_Y#OD\'dԬ._ظ{!vopTLF <58rӴ>۽ 1=4Lw;{q=BbX?]"}?e=$iGdꇎ;G\8b$*Llw1й(h{$~b;&RQqhk4`LQ~@`n‚}&g4hޡ2o76lWܑe^Ϳ^N,Md[ WCK60EW N:X)UsVmBhIoU╿ "zE TSte%mlCikOǓHn` pm)b  X׈x=]lœEVCDrӘXp+#3ˑ:3vgY+t*Y$} 8}` Ҍaۼ/ɰtv}Wal0=N5"j SVdіTh5. _bX55҉4Z7SQc Jj}Fc6@2M廳cA< K$rbC9.NmS8>nq?h=.ΕRuV5TѰF1꼅< ~|)4f+'n^?P;n=,${{t#\ 9> ˖ /Oom5×g׮6HLGqw:^FrQ,}<ӊO": RcliFoM@7ÈEPa[4c W(VˉU.'z(2rp3"-)jatļO̍OH y8#4313pgr0`3!e H[c^2UsqgzX&O:|M>MiMH< v2̈́ ]#eLV*x?V榺ۄޏٺD.12KS <*sM*ySMUREsUSI#S0΁>,9f}Ǘ!tњGd9EْvTj֣Ys%? rHG6$j[`%r客4hŎ_x#kYrcatHKr|3']{\N鶨',UZcOގL.ԄnC0!6Mj[H6F`{QIAle+s*z!3RG-{ж8kB#jkShA8% 8=yy'0:vӜT? ­xumJq& )-uhd~ ),~x͇ 0I(~hYsj.%g 1$dKbQY]A]L6z\x6~F "a%vەܵVFN\\]Ґh'h'a-+_k5ZI`@$9UU{VAo^u?35& dL>V6^~8ЁcM!wd u~2fQ&6`tKfx[٫]9[Q-[6w^&fB8Uw{֌Df02$d 37nL-m& |"0 ;.VU#]> ux>,M[$t)[)2I}ƬMKQ QÖTׄ03N&ĐN| -bumKB K 19mg;VYY SB_rĐx<5% A-ba,d9"dvaE1-%:Dך$C7ĩrW?$A셠3%,B~m_Sy˱Yz&%AKLaNȨ-},ƛkf3D-S\j 6Wjh?EH>:Fac<_=2?*+*D4E4k%j!|MDp~@%5L[q4EP@8XUuBOZ7>HevcU'$̪>Ց%{OeSXbiYd^޳2u>kqZ.B9B`ڝG ],B;3gl,+aw@ZtPB9mCB5zW-NmyɵfiYoj@piq B,Ʉkʳn`^g;9hAQj 2QZ&M[EOr< Fw!nK)khK6CؤOZcB,y0?dv#F ppmֵCCD{gzv5xa-ˉ=DGƟUIH*dW^cJjw|D?*ف&>>j~#گ\w|N>zy/BeަMͩ=ϐo5{mTCGr1=V4_^m{rw/Kt#/jh@賲q3;5́b@fGXq<`KQf9e43TsJ4C57ex&2C;7bHGQ#>Ӷ43a̰܎NL7d̃TT= W@߻tX0rxf,ld7],'Ex}bYB|TAң]#=ƻD+D5O6 g+]Oݍ7RdF̏('Tq>m8eDKX'o 4cf!Mjl( x_Ďw? Rbb\& x~>G )gHW j@ty;ÆjZ5' ' " bT5C} C/KKe>|6AFZउdnEDhMlS ܖ%D14%ސ8 |f*̡n#.b%[~|2G[$fXX8ُ7 .xqJOTtT~5zoi8Z z-uq'0=)U E#p1PSAVRɼ#`%\ǪMַ vϽRljz#~HmR6a"SۄR֒Iݵj:0C =A3Aa2.*;K f#L_`QPϷ%J4n8쓳z_И2?[j݆vR#{I/̥npkb> #MIQ}g?D+"wnljն(ܜf =OM@7ubxWk4KT2{\vd~ȣa 5'_$ 5^.=n'x\!%ȜH|OF`0!}9paH!S^P'ABac5\ GPs%vAa'nv.>+n l͛Ž Xaڀ\ۺxnmIKȒqo>.9n5S#>K?) Y&M,ҷ6g3r~:տ3jYio^a :G6g:O@9.hX҂ ~1Rp)>m#="g6.q fN! n7).^<0J"0H>Qdq>dO@fS*;kDEaCqÇW[^ Ii;Z0}Kcv&zܡ0@1MxSb =υL;O\ӱ"?l :n%= sߍQMC}㰣X`rq.SvR|݈6)xR T~ ܣ((AGp]*B`@}qgL}3#i~_VeeO@[-kk{K^$;\uYo[X* e`r ~mpPc  WAkCsV#^o&48B%4boƀwziQSuR5s,ftGܟ"ʔWc--'VmGq<~T~oVԝodPbLھ6wHi1#OҚ\څBuDnW%A$q ۀl3_VӐ[=R^ח!I,1PAszr&3A*eIPTbݸ1Ơ`D~AeI/2;srjC`}a7"1췜3vOK*E'i8P]19)@61R|^^L'u5ASXh8)<Ѓ +׳#jG蔂 J,;4젨O%I~ǽ0ϺH* !wx: "L;M/,KL=SA9|[zM67Q.\S7 0:&h{w/ږ_,=ueu Ej2C荚+TeHE/{`y \qgݛd ?+ƗTniaCf!j8 p&gfy\f&aH~Y}ɥQӏU"">̐r%ƕ>0=)簤Z>Tz[v9G\VtSJ A*I48*Ѯ%BD8y'z(6|L)[}ۖ|10}ə " N.Po$T'q"$Wqڬ{!/<ȯR:D df7;k/ǭ 8gG~ZH'<%qOJ!|Ȭ&T%*N.Q~$ x3'?9c0]U4І.R0~Ow$tbKx-!AD%pxQze8++<{1})o^F^ O )bR?eM'L׆LnZ"*+Ŏ:`G WBr@x~T'=ĜrK /zpʅJ<}:zQFKUev.^K +p 36@ZKKn&z Ǔ ,c]W4"eI)@×i>=cΰp?'&HJUz hxr(QkM@4b#R\ŻBm a,O1/H}=q2\Y#7c;Kl@-9&ETaYjwUacܪy wddrꯌP0٤T$d;nre*99#6-h3D !4#*'%OV+ P4[~$%h^.,30:lQ"-mldn̉=x>(JQiT\ġ 'ȓR"ڮ)Sh|`|%Zg$9u «TS"̾MF2GT8+Bn!#`{^Υ^b;@tP`s5ǎ<\ʈyK z?DI;@0$tzLa3Ք۴go-W*%R~\fN/?'Em<)eP1"KЏ޿ݡ0AC p,e,iJx$a$IU”>=3 {.|DU4_l@(+JC7\~;o{zԶ&}pf@ɸZ#w,ڬٔȫ̢3Z$p6vzCnUfr*&@G`h^ⴗ^s}1^}~⳶}3Y**u 黮0WMK/TMh4~^cwӤJcv.}l36:ΓtfN٥Yx{{Z,'? [J^MKdz2TWl'Ꞌ&ac`;-;Q\ƃEh:xaI<?(mAQ(L-%&2. tYsUpbKSq N<(b<KBtZI"orvGfN0O Ah 4!w0xhW~'D$Z.̲/V8QсX(S}p)m`r_?Pv$zt؝0qo,iJdMe,N?jܐFڮ2ɰ5PcmegClƒF}3 j:kef{^kG 73ݝҪ7IlhB|R -vI+_S_wϷ*7؊gYwZQL.$K\6.ķ(zNt C#VΓޢ4;m!/;:;zf*W `F'L%se{#s{ZgS95 wBg]0`)ױJ(z)IT3˴ ɇhL/%m:ՅD|K(rg6T"G/⦅ҒT"O|M8KR^%dHp@0m0Qb`wX"tm2$\}}ʠ/.'7" ]sB>th4EƮ0Kuc㶼g^#D9NAacbs0tmjD fǾA5Pc T+#ETY|+]׋p.=nTeVyX :b(a_ QgVr5| iȫcoITКe]m}lCEN#Q2]*vG.X CmKg-䠾}2:(U @-޴|v YCws{C%2S7pwrVszn~<_ xR$7h@՜lšݢ -l#.y`VPS!=o[$Y!=pW1G‘ӺˉH ވ*6q2M`b Jv.1_Vܳ>E֒9"<ZxXu򲑠{t+G0w_ L݃Drw*rvJX⛠|y -5V^t޳tcMxNo΢73KEh_̸T_`) x{x"A o 6η]I6cVYw<K8bmLB|׊/ꍻJ_xs]C_COsUr.=;Vhnݹ !6702\?8~5%FoyB"Ǘl02~=Ms >xױ0_/%_^aq1z #Xwm\F2Cm:]Ϻ-;ʱ{$ܺQ\atzMF`_s"xKcO f$x:/c 4 /0&[5~pd J> ^D*`Hn42nӣT@ԷhV`;ܓ7{x荍jhey c67<ȏ̪觠䅗.y(}A񂘵Dp`]dGyV6(3+ t;ZYA,]>ӏeF w͹ry\VMR/sc/g%un5;9KG 1/f^FN+~1WC{E$uiDI@ ^O)%04`gw$2&@ߴaV׹QhM?Y:*^Ϥ` DC-V+~iBvHy,<PHYwdaONm9*3u+q1盯IH[æd"U 0Ej?¤|9'VgK :4%yqTCQ06h@gX\( ªsm5U@/҈B*zԗzzyM=u/D/royļ#xّAcUݾNBn99hпT [I(R=D (wNF*vHb^YvACۗ@"_q|29}Dp70h@S*r9mbZ dsR![op%6?tH`3ЪU߫sc~?<-͝-oCN U33Fu1Ql= &f%:.؏b$_b_=Wsu:ml`PJ&6bUNDԲP91cSAjF͎nVd>cwGyq3FNZھ5EkԡhdNOXͨYw4:8{C V/G5!}?n?Fޫ*ٽ23Bћ"٪lNL=H?Y7É*$:3Ԛ" uJQXw Ҿp rGczҪ lJD&u0iNH8 K8WSă}҂ Xj{ +kYϏԠ|VJ05('%z+3ƥ dJUɎfb〿y? &tW;REN?nxsL'iF{c,}-- ` _qUh9.?dw`ܽ"ٟ~ẋJ+]Rȧik9N΁L)usk /5W »\șF^Spt]`<du/RCj2Hѿ yn=B#s_:S)k Wa&7'Rre@.7 bqTkLqtƀH.N|-,eFM8_B('{iq|,W =n@(F*Bw˩6Y1sDmkޔ-Yi30_W?H"󛝇7m3ʔJ" m +t8"J*Xc󦁱{Qtǝ;Սf9e|Tغ' .\9)IeFn\cѾ|Y<&0oG 0:PÔ=,XP5/ wYH*O4Ȣ7#eo6i;`. lV~]m+7Op{ g]i[s11|=E1֧[[ctJ}ܒKPb {C x:"fjx/E}iP%MhCf [~N#8?\ٺ?x`q(__0 cTn=>K2Zv WnİF )F|&]| ($~}m*LI&uNHq4C^RӡMoNGlI[)A rW\ЄLQ^kW'7Bi`nSCPO8m-}n@f-ӔF<[?ň?Vaٟ!x!-vsuCR A\EL9eD&i R#C9IH. Eq/zڏ0|GX9=8Ž4}=DB2bExolSLAy? h|wh]i~i7j ^*4%]s]bGv>TOhyoj=<@!C2cpZp#~ $PjBݤgITpK l?Iͤc3qV4DU\ƈ SOtO[2($~o$^R:#ꦕt`(?[+m e-3\w_ր3 բO(i3Aٴ+ D򆥫1 Q?pYE sJ:ҋ^(ѹ[SSpþ䋸^*OGg7h^: aC*lp%9땿z^;הD%/œ{A~X?baeܦV`Op2_ξ/35n24<B8=!H a HW:lPhU6 0UMCXɄGЎ [pÛی^0_I߀|/]ؿW]Qw*XqE"1 &>hX! K佷A?7;钉YyĽݰ`GL]}9~ 0chb&M6ɾH}irn uY⪉ FĨ`P&Ah6UP5eJRmPqjjY_m"U1SU=pt0D6ʆŚ1eD7&%?ث)Gc,STTYX lVdU&*!v$- 6$`F#$GIc}nIs2?-l6t"ˬ)D7<"`u D`Ac]ok08!Ɵw5/0CW[ψ* d$ i|K- D׋a ѧ el-5uyI򳛙v(Z8+NR[|bF$RсҕYD$^t.p1$Gq=džZmhXƶ`*y< \;y7G kCy N]zr A!Dn i7c(FP .%l0+>p1Zf,yn0%71#fϔ:u@nID<|_Gak~4 ~BJqǾ ߤahO`=i~+ꊁL UL6a%=Q|s@z&\_qZa# s|{sY'<'@$ x쮅/Dwx Qk_HvpN8/1T@*zF$Sk!%) \QW*>5!I0.S#yT20c_ Y7MR3#7uVg,mxibdϨvSdSN.% qS4\|7fU%`(m*ݎ0R_e'|ɔm7 L0  #/mzv9EyST.n=se[_S͑eʛ|:sW·ٖרѿ:>Pdw6Q3^f6jO ? ?K'ߕjgӆPa7x͆iew-*kSOr0LC!;+Oڴ߽o!.]-ZT i.{Gjn?xo?s?\_6{zm^g]IL濾2aCVo y9'8K8DILjH :|hvQ=Fć#=#Y;`▔Krb8)4921ylxeL!1vm2lp0XLn$ 6I^.N ΟMU7NP%Elqa9viai휹!o+J P/Us 0Һ8{D5O@fד&]) Aw1>WҨ;Y ˒Ù:&9ĸDsJF+n*!H֒Vŵa";ըNo5Kg(Ə,׿Зx0GN8:!K̴K(JSyU7b:cw]+sϠlR1(`t.!G~" T{ ,\XV"e[|̼#&(a7%xbC:sb{y%dcN]n] NnyJs<]Q]7b |^W2~dϨk1:aJHVHc~NGZo#J ;^ASm!6bjc8NFPgX. sC+]frQkX”˯V^㥲VC[瞧ѻuW]>+Ej}2Dfߋn y${xhYu2Tdutpg"̖O{Z1wF_2ͣc. TKGVz7tʢ 8A+KOks'PTic'>t4ёT酒v]$GU3~h^58tZ%H&H}π8V PuX[Boh}yR/g`!vZX~:J0}d$6"c8OLFFR[tJPEQ``R ?|A&᧹ 쟒H언Hג-&l4 ~<$Uw^'yu4@7߀b8>W?cLYι)" j wTSb\;p?a%иY m (J-CF'Q!IYH9i$[!MY_ {&Sب y"+zfDfno[Z >= > x]5'xG戈^w~dܢt Heűn01af?~otUNFև ۝_'%v [a?ƼXۍ{M)x04x\s6c5$T{q1j-El<ފ\:[ejڸ_N:A 3'el7pxzmICcdؚN_m^_h6%⛣@4όm?N&՞òyG7Bb%M h 3VbK(~ 0^ q5Ȟ+bZjyLuy:bN=&/)Jzw6 FqC-u O@,!MGH R;ht{lΡnvDSD6$R0*ў<[$6t:Q*v\ȍ&cc|G§8Gp5J?p})S.4kgZM=D& M=+ѱQւ&iˑ523HS.rD?QʛIܷ%`&BrJKoV=Ѹ0l4ED86(>{@6G|{/TIu LgIR"B{I/}2=o1}hUJgCBA҃~uwެC5YSH֍ V/{CNzry REwscN:Fp[D.RL%0١>仱_[Z[v,TL%Pa@l09^1CjhLZ<PEH[1%?2K3PZ&xheAw L p^qk|G+K aMz,nZeɊ(hvZ;2C 6xY'27}:OGNjf3MbP룻eY@[H0=[`rr2:GB(xpŋHwMϐ*mQrrK2,s lC:݆j3. pC=N-sù,7`@=j*4:@J<]A=k 4E0EOP"Q_30+>*>|>`,rNPLLHrȧ[t|XD*);DЩ !y:C0;cUAU[H.&`т{f] ~z^0okEpYuB鍬Ѣi;#ԦľP 54XgMaJYNj6YNLlP0~ęgˊ>d(8Iw1ER]EӧƲaw1boފnPd쫲j4-USTW L{*Dih7[Mf䔔5JtߞRs |]P[%Ɵ[i8]ׂt-ˊgHluCgvlq- t~ 0̝ .\KYs1u[F3ݿnAߝJ6:u U^ES.΃fԔ޾t؎>2Fm596M$wI5gq0f4cZcS }|!헲0oIb>v\FC"FύK6<ǟqA2A*dQ#^9&4{7%ܚ>g\؞Nk9KK鱜)y95;s=p t9@`}4A Bi>Q,<@Puxl\kXvOMGIl7Ah_ݫR5;RnAݰr,~ciD<`4꼒+GS) nOU0¼Ev xNMC TN} Yͪ?fw0 .IRGd]J G>޵t!}9Q%],LZJU_2η'N*(#:oϛ 'U J8yHk 1CPs9`ڑ2Q 㙯y|yu87R1gz*{dg.b6v̭ҴzcMPZH)쏇|byp/> /6k?IgI@Ew4 %Iͺݨi:8[u)']X8,[ $?@p&.{bOާhC.2B`;Fp) P}1~~yC4#IzBrpKҎ06gF&Uz(kHğCH_˰nK \Cc?DRr\}ts` XNا^ُx9pb_SO7oŹXI 㗖d83Ĵ%ʴrs< Z9- peA_|2\`J q}+%xNs XdrGSkG%q&̤%Y@JPTD:ǠG8#oT*j[}͏Xru$ #\ᗸksm(ǤE^|%|r) K]Z7] wB^<%P4KAAi-RYJ'pY`D}nn,~яuzgiMȐ=ﶂ}Ev3SC+Oy؆"+l:XSC#ͦp van:POTgnSTB/,a3^q/Ɂ}'TtONmxP $oK_WcXhY4W+|jeoOR1gY rM8TqD"_x_Q (9tcL&Œ9! C^=/sܦ~zZrN!lVB ~^utߜ(#$%HÆ7%Gu _yӹ%q Ñ7Yi}LED2>KV&%35n~%ӞWջսNѿcp6X~v򨨷'?'\èإlT2;oNa-xjHgK1gZ\Ӱ4^rtϾO7f;/~'W̉.4Gd![|X4>,SKNP>^Œ#B2hb[Ѩ?؞0pZ Ș8Bl-+/2$/|8Io(LIXLx H񞍡o6X9S9AyQɓ [hB$ 6 @݆# vgGOlՖwZϬ1󔾾"j{*^!17{zzD6cIId[m DQME!0.!!xeGb `?dpZ( H>c$mAXsxj.prd#bjfc&j7|n&oҞv~JK#^F>'$Rt8#(a{?TlùiSӨe#mhSeW'l\ I ˾ik;;v3I;k)r*}JZU1,/{$Cc5Qy ?rR`Igt\c*jo&CSn9K)/ *5"8^n]'!&^K[5InK< = Kj9[w@$v{tU Ot{qmx5OpÂUs'~ɃĔ@ ݖwfn4_F% jMrW n-ӄp˾MB,|v3M_r, lwBgiCBf1+b<_A+/ъhErG{A@op rws]QK2Gң-8D}0$JQkҜ4[j QQ3\n'*6 mcNT+ *0_//W"dVJnjq}k8ڃCUj1$J"0)u 6t%_`)P2 hԘE׈`VR1qnG.L_跌Ƭ?rl\_cIL-Bw+pUGj[{ЋtnXtrQ4SxT5UE .|%`/D_}Mm+:'LuXҝOI 1U9ާU[8NO3e'"߫:vfF#sgҭapT/ڊmJ)m4I1EbL38k& g@"YDy`8 Zd0Чt|24f\7~gpN(.Ҝ+j! ɿDb[J-(AFಜI[EsmM =Q3;\p>@!rT67a.0v8wR:R#$:yM7h0dk &|}0P6I[`2Ɛ6Y|S {j>]<!"g>J5ΝauϺ[QhvaDB*;pZb2T64cG@GؽpFhđMT!RJa mWlkp?ШJ'A0U xrY 5Z1H@Ga)z,:bHrvc-f󾨿`[bɬ,Gygl+-G]FLz|!YcL'IhH6[]`L1I#$>vJM+'tRu" $~ŽyQH<;3-F$'v,3fs-b.Rl "d=e=~OnpؔclSJ|- )]Ӣ9ajڤśqw E=a޴t n:n'֬ pgn;%2vFcMѿj,bjo}* * DXc.{ z-FNUI Pb$[82=W#Xa5!SX! VvssuL'C7Ƌdps$GߑQ pMcDWbz;_V vJʨ2}IEAatOv :u=DnGki{=̝a1kfsqe? U:eYpUh(S+T|lj]珫b|LD9,AeN*8^!}4fL|.8FCR7F̞AVY1Ew1DŽqV=5vg{EhԎ͜ό܎ϥ,L A!RQ;Q M&Cz[ԺjO(蚒*е[C/ €*TPr}|5OE ҰѷSd{x#$ /ydz|kguKnhR110@lLP`O" 1at>ۚۿJPc w|}}STgEWɤt῅2gxY%Dup eu2| 2:↬AgjѪ4Ih=L6j0L%ςdt d|O4^{&0ƆYo7_Ѝp{k{(truz<k~vw9K\"SHQGԈu b@n`KtiS0nF~ nESKL#1"p^/J=X}  ?Rs9&ϪO%I :\8Xb3 `qFW5ˊ<%x~W@ hUMi|/jEip p$ĞRC@AyǦQzģ|[Di?@ޟd񭩮Rƽ-7R,g9qL?ߖ|ēyAk,pI{O_h:+00ۄ=GCS\rF>ep>9;V/|ql1 ߉ϧ+qLdZӫ̇0}#] eP'٩cUMHWv+ bUXZmw.`,GwS1w%Qm3uNV>p7@zb+'@UZ<:2`ʼLAaP=g;>\7l7/ 46I#QGtjf'"OSY%x4F5yѕ(CFJ `*s!Lw'eKM"egNWJP`_N2d|k1Fx+.ఘ~ƚrjeAh]9= \r 03f4!l'0Wkfāx$2 U(h5X}Iˆkt7yyo8b)fYfd_ZM2Q%>LBG {Su?aZ$lioUn+z^elDǮ$Ke80< +X9دkLXdz[], ( S_i|mQL8[yX6Br)^xv эR# s8=8@S͉@ VX͹W)(Z%w3=wV~MVfȩY"'բPf9}LrC jJ#pLl"FcGB1کomKhzE0Ѕ+d`ՙ BqZ|QTxUrI,F6z䷒ y#gaHSu9h݅JP #{:f+W|gM2APk\\=Q3jW^x,C=v$W&qz]MMRyrxyyϋuOe=Kj%5F>f4e>aJq>w M3Nǖ ڃ7he߱o)I~JfO-j@A':غ#o:ADe$lh 7VO[Y Vix_8싿\/NK}dmmur1>[f'?l3=82euA%[X}8I]~.DCkz~/4m70L$bұ#-H EI6L+ G,8)aLSo !>[JfR;Qp?Hܺ\xg*I~IW´霺TWGFd E!Tl/M]U=\!f=̼3T :ۧϖWoQNI4bҴ{tP?ݺ%RA.Ռ.$NSm,3a^tb\V=UP4̣K8\%F҅9NW-;9><ʌ2N5c2Iu=6?/i>}N4w t~T7H/:S)4š\`S>:O@5GulK;t̰rh'}+pc߳ѣ֝3+/Mav1G4Ʊ<ڹU DJ\,ԝn̻FEإc0Yۥ}?;dNICZz# woOtc&:tnh{>p8p"3 wE? :2г%mwK8;U y#['#5{ )p u,v"l䩃{<ӛǦ TZ'T(dJeWʰW]oɆ R[Md~7s٬}8s/f[Ëj9f`Z ^ŵƛp<,$ju9%~E`ҳu&2 oR9-AHO}/Iun#j#B-2Ov I՛YIF<5o]w砒iUzk\j^WYP+_FixIB .sk.U>}Pt*Uل+%濋 R kT1euVxo+jCk 'mXrEҬKI:Uɓ']!1A0@Ωx HY?vz6}{+.% 0O-%_%U-Asx& MI.YzNw_ Ƀ&{ȣQ31T,pw<=@[e#*bDZ!z4"L"XOBb&V8^1X~)n1fu:tnX] z2U0Ԉ-jD>EBRxW{Ek8q٫UswHh}Idm׻@{;vkd=lKC٬'3M12/F}vxVl&E~6%P}Q(AfP'n$BR=}'Z763uK觝͌iZku_y4(KqMز(݀gj̫J{Tqx}cṾfQIW*`Vd0nZF$WVv}C}P)"**f?~AwNfzDj#t4u ', ͉}q om^26̥1VXZ_FnyVR.Ȍޏ/e[ۣ >%nj2`kdf)}Rja:-{GJ¨ʹK+rYkn5.B\KY)Vmj!v$[p-C _X}L"ruahj̧6,B;%ဍ{Jn,:խoCj>+gx\U`z{jg{ 0]CŸmXg8ޛU(~ +eDUZ_fk$^̆r-8ZՎVɌPaYC浌ǰۺs*zK5,7ۗi+Ox\I]tu;jtԭf Z`/ LY$*/ޥ` t7KtNޅѹ*QǰE5R4rzTnO)iڕ?96Ec6f0 .Zղ"?-{Cڟҙ]|DžTtŽ[l7?ECiO}#UZu˓yؑyӔ(ƥ/1Jpbz9ي8k6IDޤeU>5tɬ sp5Ӽ.~ܶwajg]mWqq;mf'-#yGx4Gn\,cxa/el4L5IN ʢ9Zq29&z&$ᮂq9z#Er]iܛ8>uJ4{7#1a;P3&y a$O(sJs  9~]38C(vni0m,zFxFlv^~h&M,TH҄0P= 4a~ 0@n@cE |U*]wX}$rڱ&eOm TO۽*koS*y`ׁ jutwϢQ4j2 S2SoeM띳i W|YL_I4rUZOKP TU*mTChz~R$wh xWkSa<(ȷ:mgȎc,[07f"!w1fz_V<'L Ot*\pSgp1sL"yu(|];Xέn9H ce''sV ;kL-?_( VZL-,T5%s}_Ы$~0i$|aSQ)FZĪr݊^V[!f@*:2)L80@^GK ٮC>2ⱥU I_IIiD(iȿ?.2 ?jE(;|GA^ɅZMwBɨ~R>[R^TT{TUqfLk=pϾZ~)F՟slfA&R@u=m Ѻ<}J/Z#yXHwwi q ,M<4#>y ̬$OSXE2t.B Hd軩YP ڸgj |?c_zxIT _ʅXlܱ;4|At(-Z9+mbyknp:} Wm^830)K+ B0YܕwwB6)t bר,QH W`4ˢ'J9rt%2X%V_f5涪wPj /$ߔgSGpx9NS(~h;lS΍B 46xp^1Jfe,FUb]SF_|h@lW㙈VsXs! dTS[zJj9T1ZTZ aGkπؠu>ȡUF~PoK&$`]d~pAYEvY?mۺ5@]ٱS9[W8@ |KAyA7$7,t:ܙzISTBfۙtsX!zϝmSwa4!AL;J[ƆV讪<C C>8g+M\[S_}1|/<Hj~߅ctO4 ;S8Pv^.$j1A"i󃁵bXTf3fmE|L5r%-L[{5Q\,ޛH_-,Qwʾ3"P~iP^wic?_yEI|+$ٲLKuTeT*+%BLJPX sy%CUm=!F8`5k&#PJ&dq$ 7F`@/]?v_~MGߐ+% q1p]e_68{F^X6 Nu& U>9p^kEXg5JfRdV<ۃwΕ&&wP&> %Ff_ H7Qh?|HFMOd y=RelQta ?Zɔo͗>Wilx vJpڃd׊ߞnY^eS= PXBLj38qYm8ex'tUHx0’]`sT : {GnLhIQMRI%6KbuR$Nf؄1!7 8;(Tt,))ZxSS*EOMWMGByYāR9PHPVuHLbӍ$d}?G!7ᬦҏXs0p.;J/g9 K @*&A{aA}hO{ܫZ}8*Ӻ~qw MXPMաI<=Y-9A;cdUx1 ^'|/qKRT`+Ul!Q#PjU~GdI"X기8>=!uWkT0 ! D=}jxSSGP l~XhEIuqfA![3g^ʩ3QP&fН&g{*P;[mDZ"^?U}OBV5J~]8S3:r\Uaفq!Qmx6 \m07JiSڹ?|)p!g Vrؖ wW/\F.ą:q]N<+.z)kLU ˺VD1Epʓʄr9CC2o:<^+Pp {au "(!{LFƒÏ a[ 5AZeW! xx[ާW]Ƴ.q( 9?~G 6ӌ@\`XZj+>3B)g?Ր[uBmL_R3#t^UGXɹ¦jw&B%CV7e R 7qva!}@%e9$GA4yLoV7*zFp~\g^㎲P&47 V\Ҷ;UuT]n_vB]v^2MYZv n8JY^NzpϙM`, Z>D+犈*Il^X)Hk>Qu\ReT`AGi;*pGPY%R8v~,ke.Ƀ:v^yFq}k+Cҳ:ԙ\/L,*X%u9ZPe7Y @Dm 1T_Al^6&5bTzCt vi@Ʉ.1sY<ȼ.*АQ`-6aX̊'W8 \T.%1l-=r @>t`r]3>Z2~_&**D&e.mܴՐ^d2e课ZzVUBb%G46㡯  R)޽GFՄ1ܵ4݆ zۋ؅E†6[~R~蠪<ռa U-$צJIڡY T$K.gߒ7vm:̎ qBVVhګaZbiA*&)Uc%bT3APч]zK8FUY)S nKT3*xAU1 {fcsh/~Z $sz[nW]e`Ie$z~TV@ߏ\mo4)̨ORw=(rHRj.kOQmq|=V̍SE9 fG~5RـƗ? v B9)$ `Xv;:ͩŹvHeW K f|pb9+ϤXXW)3ie;`XJ q4Řd:Q$`^hKjoeqR+•OFLY ~ze7Vt}ϻKZS.Rwkxba!7_uLBvHL\tKRp/tI9!Dl47:'}?tctvYw|6| ] GAi9kƴ-J0+j?SjS쏱@ԡ~"d((-5gst'vΑX} hk}͗j7wMꙊk/nD `,+ ۅ`6phHcAPkg,')Ar ۸IŻ߀24ؘ͊cZ)RU%?.&T(v54O 瀘QMR\{XI`]<%2px216q2F҉UyWh>Moz٠8acƿeX`µ23G͵ ۊ-}UكC$%܊ q20X|X,:8{6_pؠ- GO<e(> KSHW\8*reJH r/EB\@?xEߧ9w_љ",.$ aZOJDKU0TnnУ^sGIG^ 5@ 0$H <.X2 =3!efyPɢҙ {MD#m/IS!"ƏZSTS i3tVi1%8Q+ sگ#6FL*Ke=8TB_'÷noIerh?J Z\ҠtNZ?ɛʊu_88 T1]lB~ʺާ Lr7zfu.&'3Ic^V{n1`O*FmlB z}o} g ⇵R&`,HAu}:*(E%XB>3qzwUh1^-G@j8B0ZTQ[cPsqquͦD_,ϨB(&qӛwP_-{!̀/PsZ95g8+RN,+W%ʂ&aݬ\2W^Z',%cۇ4oN9O"|xDO!Ū]{s8qj2?2gȻͅCBl wL,`j_ `>]uL^wju6X&58˖eCIqwfֈ~Pg,JiAۥ]TN9t6UZ#}^U;A6Ɉ KoҒc52 4 R+^83fw[CWyae"Xx[ ͱ0yj@.ruO-,j&ۼJ |VU-81Bn<⋝C-0qlJN;4bש kCp2sӫS+AWz)@%\'<9+f #aqbhsΩc7)bX;*}ȯA,p?n6^Ђ.5s1:`lc S}%U8KO8=oO>*9x{yFJ V60d8  ÍFCK"}T Jd PĂ+YdN ) *A\#2RF])(U>B{vg4p )5@iSZ*IuVb 8R(\8MI(?Y΀;n@8,%Ppg8HgХ2=!Z~oonBAV^ z}YL,s[k b32sp6Mif&JEߒurѥn{}wt~%i*45o^j#L}Ҭ3gدQuf21f <.7Af؞Ro6ٟ6fc74.MLOMx2!b F,! @@XSڣҔRl[&ZZ,yLV}4L^ԕST۩/b2JTdYʪV11A.hlp_m e)i=,*Kjʴ"pk`vc*/J6#@KOn,/k>a(eUv d\]nQpBDӂkT*_96gVqćGV% ۝%4#| :PB_cȃD  aSR1Geo*>h _{BT Z:R(%(zeEW)(|ı=PAFx[ " VVvNdLU?K5u۲w,WY9k. s(v \cluw-?!O- C\St}-{ʞ7 I/R΀MnB;lTk|j +RWB j9f ӻ>$/@2'4[:QqOD`_Z먁ęŃK-Mr5j88=ruA*v*YӢ\*A.L[SJ;Y!ȱ5KQLKLalFOF,GIO2 ԐQAB:yCu6;E8 _(VX(VȠiT6uJwzP}@V[^& E*w_^WP}x " [oգU'[0|<, W 56 ی PNWN2ք$?!~w 7r+!D2Prtb'NzPR}ٝw8Fǔ\M YA4ҟ+͢--{I톐Gz0iBΟwb/(U5SX9S_- @ȃJkr: %9ZNld8Eٔ^CEbF&|`L,.F]~U%)e6 '< |}r0W":Q 2.@2?(-uUDP3/p HTnaf*=)$mX=o p}wv%IVuD]uX:kp>𜷐A=:EY`8 τ,``@LN;g8RpWrh'BBj=L+#](QPdx =*2)EC tp#DŽ@%[i`$?r X(Ʈ;^E% Jy[e PZhg}40#ܡO0; |tZf sコk62 ?)HAA?=(OXdU";j=)'wTvЫ&+¨e$ yȲzgJ=NL`$xQ+g1^6덺!(2g [KbP zz"ZaVxP @I 6دD%O :^&ϗɖ L _l|rkyO2 [GŢfZ2=EIKĕ/pR@+vy+H{PL`)Cȋan'`翁<A!] /1y~DRy{hue8#ԠM- m៝ QSpG!c< uZQ#>j ]*?Ks?cJ̃!씸U~IrOƛμp4}%EwxA/J´e ۾]jrI:($uzO{6t`԰И10 f櫞v = "GtMKWd xIH1=砡Nm z)%e&K-[aX8^ۿӖOe#w]>/Nkn)2Sߴ?t ѲщEMEδxMfKğ뚾| R+&ou]c73n9{&:s]~rgݷnWޮy :On?UםQUV;_(Fȡ ,?Xmbp^(Ҟa}(sDSjN_(Jyd! Q?v!U֕x'* 5V Yv e(l֏,KM:X$X&_R(ŠO:Xĭ 4@0~D`U)E%'j5k3X+=X@}Kg{oafIZR6;p/'uKgaWxKIN YʥuphhP<{oM\'mD_8$^(JCGaHz *JTSa1-b]،XlFJ xi/Eh'%0KJ6 OCou. 3JfMu'"P4ɴIsJSZw7hR㍣مTqSpbo* Q&)AxRR Ś=ii$S_Zao{peYvǪE*n;81 . tTN?5H),쨫(y)(ś ;AC6D1HdtS7T}o!b!я֫bҕ q^-R-t[9U![VIUQ}QK'<8 r QsX5 hwӨj%ؐEFpJ;աE眰ǼK°h):ArT NMqK$'U<^P(WTxSņ`n 7*ΐ}I-<||/88đ^J3ϟy@4҇-ʂ*So+|qP9,T'g-JO ln$/(FaB zWVCM? 7Qȍƌt98"5-M)~ȉ} |wmGzO\z4)YuWZՖnT5Lk'vDSJPi";:! E|(k$\D[YQOUU҅S%>:[Og'/@ep ?4W @mH~PZ~u R:ᏇQm"Ŋkvʪg%G8 3l26=5 sK1J@ =hQ~eG3S?d$g².I/xhIbM|֋7Hς ]rZU=\uH-ӫzUzlJժ(q7i &͂"u;-$x 0 <_f1=g,/_CE= (3@n6!l WiBWl>#LvO=.̓=uŕk&xol^|=]% t-=AhPK)IrSӁ_W".ewTB*殹PNB{)ăLQA>svit`el^:~@.v95* _)-AצֱC{ G5g.OJA(U#܂: :@aNVSCd.iMՆLKtKbAc)`C(!Ũk/)T-';T)Nχv8{/'4+zl&uucir  FaD7%\&Wi̋[䨍+{aYp慆,1}]C[@ؿdK TP &ISjL`Jguoxg;JvcY2h^x0B|̍ #LDAMR} SE,jWy}S&u=%wa(kAP# V `j+Cm)v)"A2+W=**ev?e]llY*nVYG׆rzG3*_xb̽Z-㕟xPcI,PC5Uҭ&E6r?0~x|܊x-Q.uJ?;//Oʣ]dQUgrfyzcO8 ٙ#jR NhyD)@d0L}'q)iq`†\m5_ (R;PHիkB}P&L <(uT1d # 馉7NK1oUTP5-oNςXC)6㝳luJP0< h/,쐣Z SgB,Oį[ t_;zsMp7O/T4b:%_mjkwD(MB:i%PM:!3<Bv_JbQc#Y"ʢ <qSR bk( ±‡+xWJ݊5Κd8H*mǗ6V†"@Z$Ur$piZ5ظ‚lk) x0wf]JB"h5 M\E]*)jda`-9뒅PN4[cz/j7 ũT=X8P?28ӌ2,*nU"ί}꒼)!^@ a, Y}r !/ʁtP|)H&B2 ٴ.4F2 S=LIv7_JYՌHT@,_ŇR 6/>[fڸ/_J 2AlPt\iH4 L|kIl഻EJ#PPAx/Kt$B+.eؔ\Ot&.y7,O^mS|'>,OHG4ĮZ_-qи0IpP& =:] VџrÄ_iC{ۦ@+( IX !YֈN2 SVYkLlf?L2v.``sn64"4iR=?\FT895>+ vX aL㝋 ]* L-ݞ#}oa+k]'w0jĵ?W :=O}Y\4'_DZ0Vdj$h4>)pYK[_Gc`S> CQY-XiX2VV}vT@I~+EVϜcyPjwc-KA&!B71=z_oOI+RԎ\PAg2ߕ`*pZUrFjHx6Q4+hxAy.AG7 8;GYhSo 7͓~9kf qp(Da r 'ED)OhƆ9w:L`iRŀx_{nz2cVGo_R^JPh(YjV3iEOW8^!3U '7p<-N-&x@\}n7Uap@l9p JU*o >D/ @ ϟMX!(8!y(Sd~j( 9W8 SLPJ1j 6;͍Z;O8:5 brӕ2=]|A)K˅uSWvJjzzz GPMh<_3C'Gg9bW)LRwP;Ҫ:XTGW We&W&^L}*ac~[? yw841<IND42qwp+ Q@F(4DU&'l}eEǤ8M赫чU ;- d >6.=rM8R$sZQ֎F)g*XDM|$dλGu]ܳ@7D0NtX(Xx6fRS\Zt>afGê,t5/%tTuQo5(bKWTz#EM+YU6!H>Zӥ VUeO MP,HYbR*/I _òBI[y(VX0JUfʨ.VrJeCrKWp< ݮK3)5cnOizLH&o4/_[V`Ss0|j'|NƋc4:2NAGc+.ʟiv$k k)X@e|TV7W/jׯf?&y?&V}@5#T(?hTjl-ܨ( !1’f)Ԧ#&Y'3m##r~R 'd眔3n'1/f~|gl` τQѓ/ 5t.4̅imG4J<|ɮa60B_SK;0j~h|6܊b)CIı2E ![)$*qz[nMᦷJIKbRXf_٠O9X!͛p)PXa] [ۣ[MWd%U!(*93A m14$Hx(|&3Y,UOz{p)l^ՐvzhӹZh ZPĹcjRTG<ųk/K(,pW1Oh Lɮ-Z  UɀFZ)mKJ"S1+ KM>z,rT> z2|B,vRbqbYpL@:-2CE2jXbHvyW{B ͐S`$U`VL j Q}iKɩh,uIS`#U;̮Lb%YO{k0d l^,u ,BɓW!yB)aE z =vhd~0 }BWSxXv]?" qlek/t1Y`J0 d/SPoPyҵ Y(gS~9iA(*Cl M3,`2 I'X1PqPW!JClͨ:J0*߸*|YuʩGL:u`%3,\Ţ\$Jr+)2RyU tg9o(ekjRSvjt欠'80Lэ9Y;Iq@9( TRI)'a)eQ]Q[uR'&jDN:4^u5Jd TcPjlF=D{AIXpBEc: XyLuŸ_WY3"_T!*['c; |W["0)d\ X %->z02 ! h 5@ OשxlPilN) % 'N<=vPeϕQW$XRc"<0joeÑW:Tm`ܰ' >4zq䄧T".וDkyW)e[^"8à SJUBԛnP[Qd?Й *u MR:*k `1V#<~pUoYtc<\e0e.%ĄUip*Eӣf5(=1NdQl5GmKJIPkHK}Bv#rX`0F1or*6%sJˉ(SDnS{!Xec5׮yֽw4(SRAP3Oӝnӆ2.XCe9ӷ^~?|ve%jr\ )`Û~׸I xGCI<KYT;#_aç9$ifQ_ܺd Vݭk~oq^ն=m:fFjIA)wl'< /kp /fa`W6dT7d!0a>匙(XO㗁t1/1x@I&1'Ҕ)Lr=Q#/ntƢyReF}(S. 1!N XdŬEvbQShAvr/M-/֕m"֘dt7 <e]ݥYcT K_rr\*PmZf7Y:ZE6_% vd⚪XX}D` 5'ZRu5KX٭PE9Õ=/_&}(nǔp@XrBHu?kUjC%*Y,k0+T6H6Z7!,xDD¯Rt"Us &nT\ N tB0F"YU~\ K, Ҋ;op(6cݗ E$2]fѬp/=3{ޮ A08m`y96m?ផ-*С;iT‘d[ntL5B:IYb 3_U~ipe8Pٽ_N ʜ;("򞙂$N)#³A?x9ѻ ty.}RI gMAzH%L4C6lWY.}[.h% (Pn(J5 } NOYpl*cp -|%\b5ףmsO4) Sݯ`!e+W *eobBv\ԣtsK-{"&e+u:Z#=BD+pډ*j5 CuR8~۬Sbi JSC>57ṓ4r d}ҺQ}~? wn)f)W_A*JW}0)Tw krݼ$N&" Y֏yfx2{#NY}f r=[:˟k?3<ֿSW_WʷΆjH*bg}" VH0qIO=fxc`Iۡ/oУI@Rd+8PoDoh ]xAE)+5zk$]U6lj\>d[zJ3>evw%k6FamMߥML(D6>Y>4뀅 [P9A LaŴ D߱rhRWO0 @(.R?frrHWx%]OlXT~~(1=JDžTOBg)| am%kS[,`C4f82R Mm ф8LqYT OhOT뤠gUESWQJ^BR:nbkP="& f2-ghhh}m Ve=.sl0fԞ6r@sXֳC6o Ծwjqz<(`:IIvgER:NdhHJoJ))K͵tw QyرGvD픶px"`m>&ײ]Y1ٵ-WkU ƭ]mš5*hF`bCC -eTo製#~9`#9dSqxPV@A}\ZZ%vv! 3z\.!IQ:A' ہrV tLz|(X' $ &T!NG?Eg*Д()I7 N^C aC\S= S:aYiq(qsd*PVggzSccΎX?Fd+TJ-@_а`*W)Hh.uhv g=6+1Uv⚄Ui/ w\Ƕٙi P[ig{r0y( *hݏ}‘`ɢ:RLleZ-j )jrJ -|/qz`=@w SYt:rcgӪN;}s~덃2e &>ռ./`A Ҭo0%oBѴ|DP -aGƱ|`jV#wkuw|GY fx #eGc7So_XL6CWع^U!(ȤʨVA'V%zBWBXUuO$}qa j$2^h=#w5ъ6??e${{Y7^QVj_-_k! `+o= L{=)'#IHr,.?%G}(5v]tCϝJ49?rJ?urW, 42irޟBF 2D< ؐA!PiDHp99\RGԯ#]16N];Ao}h:!W_{ pc17*}~1AH (;+C lDY;~7u@uO:AxNXjiGh6Ь_3TBڇ5Q毫$0`b>s&u*t:zPnCm,lbX?4 v;WD&.wCwSxC\r ҩ3O}8kANVqۜIFшc/dPqLNUPjWl OE#Vђuv"Ǚ;BCv4'^]A); "i8fu4 *<+b.UUOޙ Jly+* JSR)CPh(YPN:ߖ\5|J x : 5$VGvC r Oު`3%yUjhAB`QZ L V-=Y(:SՇ_2N_X+/P{bӰIR2ՆJV%(ԫR gmçy`C(q2(Lηd1I\z>UdRnhl 3txNYX,NGtZg_ Pޫ.F0f;ٖW~dTMUo?UqmS&izDL(B^uMmFY- iC'Bڛd,DLܳ4 y `O8\aSsdp t^OE3d5Oabٳ< ]2J[JTmGp˛|ہK^"\ViP)weW5. ZqUQ6A,MAK+&\~2A|Nh}TB᰿ Aʁǭ6 CJԪV:I^Pʌ9ƙJ5ů9At(\D)Tj\.[J{ mo,ȄTݜ.0|TXoȇs_)h[- @*W~74s |@acw ϠGA~J{j7V̀.+293 a `[Sю 2&27HH›MO\>ɸ!sN4A.ڋ[l~cNbVqQ.0*W0EdI)F ae {VOx^Rدl 4@͘ХN"Mkqq K8Ph6Jͣ1"ǺKS;kfS`VYxudl]y JXS|g4.3A}PT3%[\ X62BN.6 3"ثؔ/KVT%Skc:9 M%‡,qfҡ(f9QaP'CLިAVnj Xj  yȨZK aJfk&3Z7nFy严D[Չ/]]h&oռJZ:)U'Tc{fյ7aWb=t?Qw,y1+@xÉeBkP}RLɀ֖*U =$^o0@JiaOV"[M+E sT~k1WڥiG z͍ "0'3.enARBmUq,Ҋ[*̏8б}P,U<+tAĶ XhL?=L{3$+l^#}rsC,9`/Is p;490G:tY+2>sJb20)X妑5KJ%U,IZ5S\;$d a:Ө:S9S4CQ;S8pЬ(V@CٵwP,wM&tNnyG.k +U\ !c07[""\XHԼfF bMH\ș0Rd{̉pEB`S%wk;F'Biǯeꮚ\R%0`\6bfi G(aoS#vzB^_?zxOtPWOGyDT8E/i&{ac1uBP4t+M{Tnmnu+hQK-Vr\@;J`pP-|[b`B8ݶ "߮+29F쩈rڒ6jPR@гLzq2PT#y,ל'X<_*^4bZ@Nب*M p~`qXwmP eM3::xװ 3Gr\gw3C/  (?{m? G`yNyvY\eNYOS9UR&r9mE.j&x0aW{o UzNz3ot<"ĭ )+'^.$РWN WVL`J t0 tx E\(gż"&Ҕ,&hૢ\)/齔T"C?,tL˒v7jHj^&VƓVP OIG.UaX`]CcS`qxY $%Y&Pc Y*?C[ ‡JT.oT覕X3[įYtWm3A~4oH4Nxдc Qj(/i@@< 6X|#C d}bq 5IJؘ^ r;WPf?f[-MW@l2TA|Tx7B'q |늠TOpZ ;(MM_fjBX&:~L0U@}Ҏpw~@j**§w~^1?=W qO#,#mn@e[Zx@카2EUMx6N_LAZ@5i/S%6R,dZ-`Li]3/v:rл<>/IK}iL4~$kA5aU8E`;0Hj{^Jft(יX[;c {aF͍/33;wuVSz`<`Rرyw_K 0EX#43gĈ% ehJ"!*xvA 8LJk}qқ˿_kf8ņ]kY8HsDHwjӼf`VVz)]_!t]~<v&g/z0\3˔ NK(NĊDʢ*pzҐwY>S8 J8*̅ YE4Sa\w$<,YMm'X)`JjѐMqDXuV(WiT+BtNu{R)<,2*H *Y:`Pg߿GSbCYm>)4 m^S$BxIey%x$5SRUmIw' "umWDxAyyKfq E_8d&ܳ 'CC3,S_/(L(9c(:ѐ_Pi, U0-ND-L^zjDԂ鏻I,tjv*} r] 6UMOhE{TqHe̴J Ap +,bҔ3BcMLU7kɧlfuϡžǴcG#nœldH5qLGuU3-\X]rөZHf(VFx7RJ֞WGO&<{LMqt+ǘ S0Y8=FYXf-=.G5=s({8lϙRdAٝy*U<*0*TeT+=T3͊oͣrzA:O_uRG'Ɯ.rp+LX$#m3Qϔ.8yf ^ Vs6'LVl0c :W<9vATV&.q.mIH)\*#ҤDVǓKOv)Y(wTRmfm5lVş`ꝸ~;hlڻG Ɲ*ºa!/jkk8ȤΰtՎVئ~5`(5SRX膅2`4p8 eC\ȱ*4IAЬ@&y_$k$ "XwŁ|:ѮSQ=' yyDJ:?c űpq=%Aܽ@,Xvy3jѯXO{LhUFɕW3Gc@2lPi9??dYSAv=ou-{}/H=Nc=nf"*/[Yc| :fα>TdA3pL5Ǖ{K)1dFI= 8I%na )Ҝ:1zXp)&_@~ @} oB Nb9t%UL<'Zj;ac;CB2< Uf`vB?!/ԏ^rjʻ`6ION I~((_ĕUSrV75&Ry Z7qYjtU0#MYzF2z sTًWZ}`@Qp/Hϊ=}qY)  oB8uqiUJhүGT J_$bniW⠽L6 F]C E5AE`5tX- U$"_X&A+g"퉔RzU~|U4| ~Ox 7 \Q)G`0Γ慅EAM p&l\ ҀkԧgcASSU`H7S9NSUY'`}VZ F[js j*Xw!W-wkx~,74=z}PqK{T׮ϩzWi`$j(TkE07 kBǨ%(1rE2~P=}A~yrcs= WqW\]GBh}n)# VސIMƐ; .3 kgy6әoa%MnT>i߱J)u!fOQ[VՔށdj8MnQVNBݱ/D3{M\U˙8 0hOL `K2P8T+wIl8V&̘&RIB{-ޓ/or뒯>S+`Օ')&Kx0xCjԝ U!/!4X>nׅXfӓ ܅ bX0I]TXYpOSq ׍p=-E . Q*!Z9痚;~ֲ"f[ynw/a;wժ];, t :X~oK;z'ٵ$lgFwLŴJ_Ɵ" ۟nsx=wkv~N_֙xLtƱIY{ W#`?[Q=Z/vǹ׿~؞T7una t'=*ߣ bbᎈh"%!I";5ĒƠAx4ÎwK7uMPXŘnψNdی!՚yAܙ#tȒdJzux Md.=$?[O'Qe ,ƢޗsYOD".,3L5/M,O;* ZKcvE30;A陠 =PY-.k2rHY/f E%@ X^ٲgǿЖ@7At";fHGFgeS+Te wgDV}8crqP<4KQߒ|Y2;zՙ_E "ܼ0պ΃qCU Nq,Ѱy p *&USNށAGL*[)ayާrs[BGDt{QF-&qJfX y:LTRSzGfrd$qr<SnZcb*z.ХYcl.tW U]c"kT,@̍k/L 0]5| nⅰzw4Ĺ p}VK-َRо+7d$wEKAP ) (1±Й"Rpk޽ XL}UW7A=4bB pJ.6[MNp`T3~rV}A sy@9=*(Lgu'،$~UŊ9QJ`UzXriCE~zX8>l23P:?z BSe*ν lby}GZX5[b V#8%bÆ*If3 1Sj*4 _ُdm*29Y @ hJ$Ɨ,aUEBzǾ,:UmhT< 8a,?'.(YiI(K"sٔw?Pfm YI&>q(bp2Ph OVdܹj (%b<[D15tm890v5G& xatVQ }ax7a> ^tE)^˵Hm*T2K]Q{ PT0As0VHg: E瞙 {`QarGAK|*[șDKXITހ\< +c3~dقG:_ 5qy5xl 0G\0L)c]J|LZI&"-@ҴpA'_B)AVIKĒUx ʕ;Hmڄg*,3P˯/?~ Ud2ejZrl\S\eJъЋl_93 yە8ICTJmT\jv;jQ}d)>בOQ _jA"аUTO{B==f(*f]m.bmx2 QMl2`0mUҷ4횽B7HzFax,a,YPr c k&ſ!ጸJ`d^/~# ̏PܠfŚ)C f7ԉCe{84LAHΨB*UXA8J"M =H([;B?giI4@0+st^\I8@040U}N r3M~a2QX|+lhcj{IǏ~O=.Ux4w-Y*7Y'%|9eS,/h¥78d-63q>ө:^nl5p٨^6!'^6ؼώUƦr@7j:>* Zw`d-`GTEyhM9x0NO_9Ɣ-"PƘi+4i..P K9R*g$yOIG¾Ɂ1|Gs7nZ]4Se4^ϏTa14t1irW;⭙U}@)f2_sXZ4 dJQ-]皐~%?=p;/smBp&L5iZ35P`8a^!A]C[ɷ+[ys] z_k EC]y?$vJgˈJi!*ξ?*!)K>`z?B4"p ZΫP k*HkgԠeIi,ɢj8.iNmPfԴs}Of]wQދtY_Mf^ C"hI)+: A:†N=HP֙i@R̲B_d_y˚hPf2RdԵ')~Y+A 3'h3¢8pT+PaS3*, gj- 1%SP9,)tzOAW ѽundIKo+Zw̶'ĹowO}eU!WeRe.vvv#Tv78 cGQSncV8iϑSk))H,R,EY&x G#qX5rǖ.w݁F{~갘.NRDQP\)kޅ yz_wh&=[]8 GEJll_YëK8pe)nS?mNr L|ЊDVݡ@rРqF+ϧ9g ?9̎ޏ]v7֋ ~qAK6pXT`;WBP7Ƶ Q ~WRPgq2E}_C6Hy/ @*bo%FM Ha2hSZ1a9%ϰ~l5{En~AW(b8\I,(vEk?ee}`]f>d VW/hj3U4 Pz,`5[O?| `^`\D{oİMSAW ذ(b/ +d7MqUA`ˊtve={XTs=?)=^2or}SEKV)Tۥ/4%Z/0T60 #XŧoSXMj-WKXubXSV HWfX̲*`vA`S"b«ޠv5tԈ(d((&rNPZHJ+n,ڠ+u2G,s#S&Q@PJJ=\" NĹ2k`UcNT3H D 8Ԣ׋2JyY%nx8pG>Y -Bж|$W Ʈޔ]Y.Z<A<{ T<d:бVdSl~kԙk˗e gA)S:))iu!uN_YG+.69 E/n7]z#XR^?!Acq[:OʹVfZJߏآߪ=x]\Y1^YZH`Y;FoT$2G|oF27[YWf9MsY8E<# -A\e߀p&ؠ2Av/egD'dcOTY~>ef:s$4qH&œI4}'𞄠KzVS⚤g l BG Х8U_j:0}UIU>9!$Dd/G6x9r&8!T4jQ;mSF>|5yQy$7?`$۝9oʦ0 n\qߢŎ*t|>,Yh$EL nOJsJ7jIņekiXτI0EBQU,FC-c=:.(j5dMBi P+#[ UZUVD2Q*x5~AtA \M {d{0z.'F[Q?+Q`qd?VMpuj,Hr}ʛX ė1Y_CH>IS658~ fQVX U--7ox9:չ[bQU *L,C{dJ`N'Q/ <6P\pO֐\~ԍ'\S>=,+ȥZ_w#VfbD"𡿞fO A猥'8ĶyUz.$%<pen;z&R}+,f VsRBrj F9|x ?ވ) 6귾7K7RS0Tuÿ0WI@~Í,дVG\AK uJ O -8CV)~pY" :`ZfmVCΜ5Ob 2Nn9(7 zFhj;v7MNNp# N*F*Ӎ~nS媋L&R(1(lav?uP F'0藀 j`\PcuY)Cm(дU9Qηl_\̘YB?y `/+r%N_ZQ]'|$ҳ49C¦ 2 ET  T"ܭ8JzQ7/+~PWGtM^xV)U+Tk%0 /Tev} ݰtNq)pDeӪl^U<@UJ/<f'P "tV% TZ(4 1QD٭L ŠpP(TbǪddD*.kʺ&b|ǾsOgƹMZ:uw ?G:言PB!e"73;D<7>4YBzZL};٩o0szvW|Z#t_Gv Tl3Ξ}$Rr鐑a0x9G& Ѿ"-Ε?VѲӞ窛yΣj2LP93۹v}=O$3_9s==|M̈w<~pl۵kݣ~= o p}Bx闣bCiI`;R~RLS h?|Ky2$9Q:qAceF}ښqqk :l02/Ӫ:*t w|U@*ou 6+O;Kc av#&afBx WWÐL emY LLݔ[!{Tǐp)ڡ}+J*߀M˻pac8HtuQ³7eQM߈g& P}UprNcS1 iҊiG7,^!zpѭp-b뙈m\`%Fp 0ϣ_{5MP L(zC ؆f TAH auQ&~WQ &1j]JK֍O$,vB|X{T uɫ+W;luQ') N[H{n[?f E^MUhK%_SCm=$ EeӗvO aN6c NL֤hD) NrS75,+QtMX'fx#DZ:by@Įyޭ_)ݾ?T%mt?)*=CwBLC=n?-T*:jT%O6@ 5 F4=# k_3("8օ^HST94WqEFx{Jр>bTŅhbb"CEC`xKxMTN @,莐O @ό8p˄(w`LX҃)%wW'{<̎Hli)mϒZ ݁@LlhmMLq|x "r?$ r0 6HlӊR6=!kC0 .b4ꖌ!zQD!QLk򸍪+h*2=_+$@ޘ&/w={m@yZA?+cD_6RB*VҦ>47opeG@pKvpD(XFNxTMf1&9Enܼ IU  w׽JPOH^hދ{0z~|ocIz}\!I5,ea_F _5r?ЪzbV4H fYChF@Aį3EcDW?']+:ks4pFyE 91*é{gM&ֽ%,5׈t㢚g7<+{|z|KVfӘ_9= !L= o13M:k1~dBƷ/,hjţe5@)Z +dP.Y%+U0huJ<%*Xl9/ceYBUD,B x钧WGJ_ՎWYGp4ḧMWF'"}tDNzs- cl&2lH$;v[*8-9k."DyKe UZ!V~/!N>vjs* ll\GU(#EyiDtjjNd>+ ou1-X!.ɷu)6aOV@ӊɽ:\ ѭJ)C6x 2*p nj ou.*|I|҅Tz6l*38q 9AT# F? 5GMif-0Ra@V'fɠN8вy]>[p |)z?3N񫈶~j\z"6M-Y[c&`Yc0EcEƠ啛uNyR7FÙgPT^&tC▪nwv}UM .1(3J-Jyb7tE %0YI]Q8c{.ɖSMSF@{w!v!ק DErV>|%Ck(hJ[vB:=̙pȗ(zL|=?5)R)ɝκPYsy{Ǩ fjng[?Bgf,ΠOXRƒ(zK8wL,!J _傦0p@{'D©L1L'A|`ȝ䳊Y%¥T-vPx9nت/ oMf*a-+T̀LBȮ؝*rXJb((jg!GcPӴӗ)U5co]M73mnD g0Jn`W:cz(.lJ n&`e? Ώj5Y.5hO]UfK:t,tщ;#i-SBтeD3򮜯 W\OSif :e$RI*AAg)M-mF2EVY~t)Zn =  \a?QZ bJhpD: =Rk |v\`x!kCHx X |"Je^sAXwTN^2M%)=pu9_N`Ryp5%}ՙ|^1ka$ũ$}ZשM1KEBpjUzѦ_7mP]a/զcvn(W=k Ӏ3B# yʤφ jW zM, U`8ހWOÆK/$T ^9n+ro0 ^*=B3V YLu&/OY (F*ᔢ\ :uJíN*9:[m br+VTy v˜ W ^TX >.; ]%T.Sy{?y{YMP߂4]qi-0OGF&v0`+fc {#>ZtizL/4j͡W!tuA,-Oݽאnӵ\SVL,a}QU]HRqb@+.h^&\;E0bpW atեfq!OiOY۲^Xy%b>\&ˤ ~YU =:G O{n( 4hrܖ: c P_'K2ėN5KsUAV<&J/OYPsS)s*'VU7Kx @l;0G+m֊ f8IgX?t qr_J%FOkU_& 0l[gn~J=0+s^]32]iPv!S=eal)ٗb)3,qP;C#>M1i\>3RYEʜtpz!yI>mp_էOuyt05F{k:0w3,MzB-MYI۵LTЋ?) ">2/ꄙ BGN=+55 >:kas@+t qET J4օ)U͖>E 4dǙ3煇-^TM@ Ti˜uu388 qΘEO}/bzz+x7-^Q vA@ qrS)Im'9**z"oFO-i%]衿$A"u%QCfp;0M|@>V"T:#!'<Z.Mj_55Y#wݍU,@8ePg(PLd W_;mS̎4;@f/~#q mMWʆf۲0ȫ9VSWH&iʭ)tCj7~.wf2Ƒݩ-j{:]%uCsxNW}x\M=gmpauçP{?V)?e̻5Dqoh',67yۉ* yJNO)|Wq7]J nyĽ-}N~VIń?Ĝ>LU[jro7{X'm ڳQ@nWYC^mDDabdp-cJC8|Oq8䉇6E {2ٱ7&DCVyc2ڑqLQF<^nSd 15'pfu'ww<ΎHЏ aCWK2oP+am @JI)IT]O xʓ?*.kkҳ{uwphԲE^p&4A vtt׷QLvQ+3j& ;X2&8*[uΝx)/(9H0~tqۅ{db>"Á髑 }v/#|n= 2(Oȸ,mmհ-#lR_W-XЧZS%UVߦ{H 4Rۙ=ݱ J]K;j:"_ Z Le@ nU2`x⺟7oypG|[wU42tMV`ƂӪp{3B6CNa@X:/:W١^&{wN;7S'i.1L_x]%\n*UHWД$0q6T q_zB=+| f+TĠy} 虻e*9 enC6 )T.(a: ,wmEP8c1*2䯊~o?jٌm GW: y{:Qk6yws XXDZcӇƧ*Wց6j) ^`)5\tuٛWYskCjM~j;fUT HӤvюDPh&GY. @1d(V=j*;s|⦏[)2,k ) yn/{ ֪.f.LQA գ$D):ϸT.&Js{{:*`S XVΘڵk9cXC 6È~b5U+5@\=BQ xfg2*;t3AQWDuxM g>vN~5S IrsNy0&CB*n|9K;z7]C>])I;[\rY%9پ 7$M[m&zd##A̱/ H7z`}cdq^b=ЅUЩ |x"})sXGfB9cKRX?</Cr 1"7is<9Li`*Cټ%FgM9ʽ7;V&!YϤ+-ryGz; &q7|nX;<W;>&kAB̽ }_`&DŽA%Z$ @x3GʮAJs3)0yuŸL+vjry}qȍ߭;4~8^J|0Ҿ)'+uV,p5S,".h+ jߋC:ZOnPnJffEo4ޛj4ƞoVb_5~t#jgɤ~Ε&|o1a Dѽ@h̡!JQ`/HΜCl,,dI,'q!7(GsZ ':(xRokKnl?4#<`7O5C=s[673s(kF|`WN9 nh5xpR`Hu/T!ݺN=ȥtSZFq@ac_{);/ӆ_$PP>'(Tʄ2~It+ڶb҈f@0|y'+ F<-)(&e>9k!^ۆt(2*phLRyZ)$}q>lfh_7)nz_u?Ӝ ߺ*II練4BAҨߗAA(3; u(+^ (Y,!08Gd0(z}cHP̈́d:*.9{vc? ՑO<Nѭ7IzSXvȫs LXC$cDֽW4='Y:|.;s\wJZ{Ԏߗ^4@}cdW+iDTBF;uo2K4ak4b  y3;TcGmLH%vS:H;4L_Z`<;fe"ԝ<Z PؤծS [ϴNk G P YVM~ocZI P@B9Q!J_џuҮ-.V/ݳ8Ul)pTt7r lZ~NVڇBlAG^澺u}ʈ4M29L5$)?z4@P*qݪ&Sz14/ |ۓGoN6J+G)c"p*ԕ\ibթ4A5]*d֝|S@߫;ѫ7A/+Ye\kP. vM3nmcq$j9>,ϻ1֟+ydjxJ .bӎB=B-後wgl껉XpB Nܕm+DdIE] T8]Gn+W4ϪW M3hQ=L-W}i*6ؾϴ8ZF?GgS n7~h;y5濒 g侰,;g[zC&YX,3C9?c+OH}*1bT-ߔm>.bi9ss‹7]lՠ]Yfi(v^cê^R~_[/4P;O,u4οrwUڒmyqW93L{CYafퟱL{r̓߸ʶr#x TOmuKh/x?ZŒfU32y'zi$k02{[n_V$ć?d{v7_ui1p`EE괠[YM%QYHWLvoM?L'=Lwi7^4"S-\`,(s>ڮ7,vs=Yp"vmaIr$ϻ̥(}EW2OhtT= '$ ;:U#"}[߶ݰzԓN7ZJ]/{Yٓ2MZd+\h?p:>zA*ìg^>c[8C͍=|#/w?wL'<ɊJb7^6j_ݲߛ36iyIWaՄb[(;x+~ʩUۿ{ad[/Y̳=I y__/oxuܸiӴ-_MJw8%sQlu18} ~ f6.>l"a 颣韵Ma^N TlZm=κŊBw{oI$6wKG]EڅcbX6ʪwelח~Uh;|~ג=ς6m.g;tn`/q(ʄ~KAqq}դFva+yTalG25F E"7]1~ \Jq8|2\0Q_N`n|#swUٞݕ׽N٠M}W$tN:9973h3t_ K2z[Vc.QWcDž20OWf*w#)HKP" : tl#X~0EtXa(Ϊ3|n[ܷ@ЎEV) Ă[Eh2Ws"Wo!T{pAh1t?lߖL>5uO~v7.OkΔt{gb`56}w^nh#~ZSm¢""^g oo<>̘[$':3k>+fx<H7rsCף[Z`}yI Q ]z/\:XHw|Es|/M[<[e߭ev{Jenў6pXOX搥t%-".S*}xi|̌{$/ntAjj/. Ԡw?Y?( E[ RhӮͫAFL֛|d"akQ0~ |!Q=kH1th GF?+ǡs}+(;뮖5wJ_ɯMT.b$Py0tXU=ɘ(Rϋ]Aǭ:'l}6Kt>WƒcB{-{γ8JyzBNw~[& :l<]]W j;[.y-.JwR _DM[7ҫ&ϥ, o^ ْ~O7ӊYw ٝoǺu_}\ k7qTCj2eoQG5#~p#pO ۫L_sŲ\=4R#8;|E)? Vn|>AKrjuU4@I3vuusƩ.QbhѥCߤ%؏9mn#u4I|RѮۗ&H.Km{)[RTyQ]΅,í`v%7(ˮ^ES83LsL,T1"UٞbE콶9,\' M lkz!^Ѷbz?.#Ecˣͯ}f5U> Z͹9Tw#ay3^@ptXb歞Gɟ%;"H rdx&r%yLuEzootvxv(0yE϶`\,}nr\x/ .Mv7cՌ AG(.i|\ Ozc^<6̢hCGc9j0,j_%"8-L!Q?hl7KhWsԦ <}ڮ絛B+KxCw3u }6cP I өǛcLWɄ|#8T7Hp3?mfJfKHwTot׍]%x'3ޙ0^=0'p0<2V6wvݬG Dx3I~H>H'vki6N7Q;{꿮4. مSMNvw[jd97Oh8o}W 2=FG#^o='ƃ|u_rkҎ7 Yچ.}AԲ]Ts6%ӮZo5G܏J7M}XSQ3G?Wv:Q#X e}7N22|2RaXKKW^4P% ק˃tZybsu>_V+/õ>Ɨtڟ >ԋ% EcQ <\m=wi&o yښ|rQڎz1m&SX[j12_=-u,&99+L \"8|ض ]RƏ_ڡf]a۝4fP.]AlT'Zfy2R Z'm:%tvڞ-ϋsUsZ)#c|M&/;d^ $+/myNjڞx|IlR􄹃݂a=7iCۋDw5ۄG:{ˢ|@͢U˪!}W$-bLo&G`gҽmpt(˟BWA1ꑗ?ؗױ@rPGث+LDiňRge/3xykҭ| #kܢNYG̯AwP\>͝䧚دXճb+XƓu:ʷ0[U$kأWpm/Av*pWb'S4ptXH.O9GO&վi;p] bGj7K )j}D7I >;/VSscS$Py/?HЦ]?X7]_eQm\!fT-7 ~nl3qY_MMQU< 8-:#Nslִ@ݠϱ9۬uhxl2__5Ԡ[h̵ls5r&K~+x*!1rW(6HOןyG^d|pVzsqU-ڋ4<)3gX)=xZW%)>{!MF#{e3Ko.5x}|Ӧ߭ef].{A3+*^KZJ)y:M#]17@r:eۭ7,lx1zY #)غlz&zsݔE.5n8HܰéM6Չoiv[|oogp#ij5[vŗL >nrŰ5Dc[0֎Ҵ]:.bRUﮎ>OATmGaV/KT5.~sOnD_ -:G{z_V7JS%ںķMM >:jeDdlbky;:vkg=˒GO4Ks&F7}G퇚=nq{/RG F:֫nS±1r|ZHfyX4OyGąLjH|m+c)Kcqr䝲2ʌsq2=oZÏI sG);>""$Z.w_TVɈ=~B?[vTS\}9Z5N|r%1O8sr[%{XTlO~ڶ}OY&4S |WyxK4,? -fvﵬqu5pr+~d=8;QLAͽd]ܝNkTʽJhӄ$D릥<{>ONk>GNOm4?|nAϚV@U":[̬"$?ܢ?ћNڠt) &?덌,KpѢF@%?+]GbX_y1ӗ$LGIgǓc[]$̉G-A:~*~ۭ}˴1A)|\vg;&i>6\~騇0*v1:nH8Q!q]ڛτZC3>?1IqzcMuy^zv;O6\:fV'\;;<9jyoKqCtVTm\4m]JgԺOFS'6XuxtYl/Q']oDLK{&>[ Hݶt  oW6{f5}N>jUt_c9xќ٢~?\$ƆkΊ*-uOV3aInDnbv?kZ;&:т,~7˙?lŢ)o/bS?ĉfhPBh>U -BqyVg]ܜ'<[V<>]O?l89+j!ڞo*y/+ܼzigT TB]3V'n|Z,6-/5zG]IOp߸I˧rdywY.~'JNgy+z/ϫSoUІmS]]T?<8ATU\]q9߰2zǶ>5p.ϻzh+_|c4wOzz:̫g?Flm$Dm! "fhj/RYQ^M%ONP`ʵH]9qgI',. cZ.=w">HCy>f뭤?m*quycZ,%> K;T3+%Ө ,M=MޗMy~3r"රOz'Si;8JYoQ6 yq\bI)ót|Z:[ϮMe,ablZ*w=^%m"\'Wuhu˯X(З2 >tuʺZoV%85k9UiN: E㾈Ԧ:k~ҾCͦ5X( Z[\NQ˵̲IYi-?~5-C݆ÒȏHf}Oy8 VBW7?yUG%G4)3ߋi_G9M}Lm3L|S3o?PȪUcؼx RR}[N[Lp)sU;KbMc}^s벑KoR?<9nsAaXmߨie>z:?צQp=wF lZ<\3]jǼd죛zvk\ybE웻7^,}ӓ+F"Z3~t߯DfЖmu=;ͪsn?'6uEw=#ދOÇ~d\ocƹ(snn$wg>{oM Mtoqy m(54_KȘЗ/4܈oot}Q3i*RE^L1oc_C{,r7N-|DxcVMvuxjap*8ʓuT۫ ػ~*v|&{k=NO5-}y oW17//ƊePsV/UFnWOB!W-mn?y*·Jp35i6[x'[v. OMnϥXbX~nǪY۠2L5L:^xF}% N"!2U"4#}՞/JZ zxZʷ9]]_-n1T֘NO=}Y*NvݯZf/L-)KFqϬIGdYF8 {&Fu#zZ2^ ui|]i?svu(&: ]FN:3 VϪk+,]&?8_z6t|8/_)ao!nݺӷ^{ıCFBk{IiI3N=?F7?9~bO!d_*p.[, ';t`<љS\7Evnwi.|gij('=~@1[wпa`/͟ʍIyN&(,VxLcw;9vOSAs|+dg~KW\o1X9+**<;VIQԦ.w}<(hwNECI%3bXDlZtN|X'4q4{6FHЫns\Oò[xp6R Eh=aTXc6 F?ũV,ɿ,R"GrzY PcUmygjpj/9 $OUOiP{nj JTH: K|̌"3/wo%uY0O>J&9[e`C0Zcb_l~-@@nvImQr<K""O|𬽄m8Ty[4л^l?E;2f{o}=V^Dꃿ4Z\Vyi@2sdոVOZ_E}RZ6{Kc'uPbٽk>BD^e3PR?` kg)=]_Só0X;ewx)ޓ>?jp~u@k pQ)DF ֔` I0{4c&ZÑ.Esdh)&{fyft0M̠ÃU46f:SpЛ'r5w,i_ Ț7t=&\RyfTQgwz]qU|\TN:VPl nn~?5> đ5p$3HiGҬ/ufҽ gS6tΟn]M<5}v?'ϨW%PVI taBN_ҫ\wдI ^eqQ3ha=xGit~df7" ϴçBw/ S'+;:EÐ}ޗjr%vh[sj"jh 5~şMK:=6^gq{û.\<:lw$q fF;Yqbåhk`UU^<٪V]D֍Yg|s{6`Ĵnɺi/5?Rs~cßzcq>6l+;qsƹ]~$?oh=fv)>i.C͞vcK3v>uߴWu[=gFUu k4_>m3uR5qz3Pu,-*)KPAj4sf{#EeV}g!@Á*֗aUSGx^U#zנM3zyތ4,z~YĪf{! ߘ Zk`X@ϨD<7Eʭ y-¸+p X#=O+_=uHL뜔 {crB.ď!?0FON?Bl` ⛜u .cvΟe~CM`KF_5!NrsksrCzUpm?<SsHY4uis7ΰ6zC|~#;,h <͏쿿I";E~=~)Ʒ{bJnV:)Ԏ P{AcP.9Tչ4^SU wyr9F:kw%Sl2rovQ(i]!dx)z#؁8nԣ9웵]c6ܲ|yJ*gm-֊?k$F^NuKDL-f?NQ%Aaٞ7ۇ&'6U-K۟?x=ZIvy鏦Vh{-/ט2:!~巾>۰Ģzͼ?'!|bi6e153S/ڷv_ϱ"G5IV? 3I/+mLkGh WޫU}Tzhm7ס5FJ0zvg .'> ¿eVR34wf-eY6q oR6ƫ>BpgN~]rRfOlCwbJ|emKZWUE98~yvTXƔ^ 1҅yߠmHsv긮}@gv*(gvP8 W΂,CSVt˓Gîvx(wts[L?E/<OV|MuZזׯ\QB_AVsۮS3:uMώof8=f730j-&yɽŝ>&I1)bkZs>d}ji @l<[|ۇvvQ~*Q\(hMՇa#UF0;~M :YƷ.|\'kD^J7#"-ZZ}7jWٓ^hSi|X Qvg{ ?),ۂOW)5ޱ{O%#YOnDպn-_AKJ`Y/6mثSG~]v/*c|mk[;[K9k:1 & /eslcTԏP7ǡra`q\NνHGͫ+M/.G]Qz5'S)tRtmPUÔS:HJ"%QG덦B{2 s엎5X4fņ USџ]QU=hvg-uuRxbxX; O #f]m= K4[.>ч3SUg]͵+O2 ^lN&`+kU)ֻ3=-?}0I>c7Җɷ4-ݫDKO~hF}ip"tH{Ċ]"rfP2-L?՟~{o>;kftXVm&ci=٫)%oIJ #fd?s1=JF* -+BcsG8ڝF4VHݵDf]U1F''=/4K8ןQ۞|W7G}:u@sZze&9c]4oU˷Qf(!j[STQ̹={kʃv{& SIk<1_ʍLؽs5Y4$rڽ$fglM9w*G*R:M%'?F2?Mp`1%&?9> ܄n:Tp}fez5)-,}b뭔nu5Jp]䭳sg FcO~Qӱ:JLy]"F%כ}=.vL/)~#D w[^C_0?9dZ#wu kW[:wێoNE_m:t63fHo\2|58K/痬@fO$鿳yuѴ/;{M~7s85<Ǚ}ON}ww~f{V)y ,_4>4\ŽGBށuloEq<\. ~&f4W1݋:3V8GYX/Ogx;e<5xyۍ(B /;4 ulG]ΒʦhL5%8=* l d/{ ch߱y]0|F̹_aYs֊^GU`~hV I,S>o?iff7>fyhwQ.[e~yE99["hבM{Vѣy9myn SM9/adL+Q.6i/Q9B*ϋECa!$ޙG P{¸wܧ9ͩ\Gw>^79%NK1Tw<F.4^S%?S)H8pS Ϸբ9ڽIE\|?^6_{ (\w3|gbJ߂uNgQ$^{f_Y7n >e=#ϡoQ30vl5v|U >%/uvSmg赥~m&>7Ni=S"n/ՖW)uH~^+ ĭA5 \F^n*O/ݽiF- ׬w:x3䳌MRLVkʶo&Y~_lT`Hh *|Mzl&;*?L83 %!j> =CDЯIJ?\|Ux]1X/:}NjqKPr1m8`w *ׇHolgtn]%x>4^ߜߌHyߩٻkM7M@0nwskK%;Iw)'Ц ߗ$@\"D3+KRЙ^ -It*/9tW?iTaEG&|YSm*:'!©e3Y˟1x4O47O>-ٳr)?^]2h5|٠Na'uƊi[56WڝQ )2Cj*Vri0FɰCV+]yssA|O+؞~ɟ6LDu' =F'ccЫx`_4?+_W闙&YSv8Os\&BuG ̰IDҡJَIbPڂ0cs|oB ʎ}߻aYD)Nyγ7ikU\ڞ.\^Wo=at;?oNW~^A\Ej̭[ʥ~D} tЩJIwtyN:'3EE]q8& 4ޮO1a!]K$|uLVXSwͅ]7FEI:UZY#F|i85EEr$vSۇ ç;s #tn,?]k~ jwZ}o2@۵6V1^uw7cZڽo\f#Kp̿a$p}>?eZ SVg~:\\t^=9a8fUo0<ފ5ï}u/kNߞO,.ϷY]bzb?sId(ۺ-u{δtZlw^n 6Z/Z%ILݺd%j6]#5:LgR+Eɒq"+"֫^HiVHA\ILz}WH,5gcbR|L~}\s,~ g+I7⺣lRޞm0*c?ޕMJQw?;N {ɺWm Vw ׂ>INZY0'%e2wGz,8՝TRa=x) %#"-UiVVia\!whnks*z02 6O'̫`eEߺg~GWBgNѠҵs%+ qqwCد&sXGA'a7ƍ>{Wk8Ǝu<}-.:WۅWp< |Rilw@%0Uo[9շp2~guffm&'D|Kj(R6 TlgcHTut<^_glhh{y&i xp>Vg^vr *LNԽGiX#핇/m/K!oiEi4ڻnkhKNCi$nxfeDCZo\f2qg]/(2M%/vV n ŪյE##ɲMKSpVBSMPyl5Nvd)#+wR=n?6ݙJR/[clf{~  !C_:~}ZY]gEout+]R:Mfw}-Q!Y)`3&xճb'&m[=kVџ`R5[]<lNNjIS+꡾&!m5Wzdl=iiX,!KC9L٣x+߲;.~\EE<vֻ\]G~pu'Pnry]WKJר?~RK3ϛ ul 4ֳ5MϚNu^v?a9A׏S[iZ|gUZ@0fRUJج^@[k5YSH]tX?M/ggoEOV&a&(Lo%QP j T6|I7 8$zG^/͇{SiQlmlzhy鯯Oy?L|ꖲc5\/23j D s>y}hdf;6uIiL҉`TF GDzݓ=H^U]O􁄙Zby3^vɐ7Q]kc;A-׆ޮEU n> P_kz~'1-E<+coA_w'om3`J;cq*E7I ]Kӓlq=&4eա=1ݯqX9]ƸחĩLI=T(Ӽ~Թ,{{(]uϼʕˡz-_75[ Mz>s̔Ͷ,*ṷ؂/C_U~BzzM$Rq_`ibP$T-Cj*vzf:9/5Fo faC r3NBĽS򉩍w לBez9ߛM7J=2E"g[=I ks?7^ZZPTkդL{+G#i%;\"~κҰ`kFm. .〇B~甃 lVRnK4e@,J0mLe̺?lZIK-wz,kܖ5 3sTjjh{ReSf{qx͵xȴAo=2 KV&+7V^WkeBJطFQ 2swO{7޾Ս+3gkH-s}-Q 5( g券hέfO\F~`-A8rҍ2F Ĵ7wf6cf =Vt8|ygNaĘ 3w"ղnKp:j=7\R$G)N~]ͭݩ{>1ao62IяUjD؛1=5y}Unf &ayuKi|5;66ϥo.'9P??ݿPlI,̔1SSy\wYX핺ka3U!1tJP{<}7mԬeZHM)7o =߳t'w~MUW݉xO)lѾ:V*c-j[00:QG[EYTמnzmu}2׉jܙD'cz !>|9`;HE_Ge;A ^nz:>'}[߾N[Qvmmoc~bOϚ;DM/dz&KM8_Cs[nϛlEau}i)  YN$y5 NoQ`mx>:màaIČ=2w]r&BAo}6u|KB_7AX WX%rg9, T/2:(+.'';H~ {T{˯We8?^1nm}?"wW/:lym5\ErԛhkfzҲmnLxnMuKǽBWNc:flvmsOaJvkeE<;ye^t_ +t=-(|qǏar?20мIU]劉 =%O_#'T|y vo?0ޅ~4qR[~i3@mQBCU%O‰yˍUu,A(IR"9pkxw7KtAV #!^l{s> HS˵&Wf[(/ごOiJ0QK$vvwa N{\Ҭa}ʍ8s1tpai` O>EyCh.9=~*4(Kǹdg+Pɛ`DOvO$;apvh˃^*,$z YC%<‡6tTc*ֳz:a9M)e'cpt6Л؜|rZv\e<4.KNjȠsj4{߾~ms6A7oߎ^؅x8oQ5u%zH˿GvgMX{a)8)|w\c9d&QKLLyޔveߙ['Zxfx=~uKMl5NwLP+ ; 'Xԇ` ןesL?h7]gSHEx;W\yU}9=?iikν90T˫n"v꬀%Co[QXM٬,urn^ynH%7Mj%cmW~g&jC򌝾_&d`I_X4c"gpVѼ]5qOZbcV;Js>XK_+Y/b ^h//+ٿ_8'&&Dxd0O6YIe*GICl\gś!7`@C5Fmԥn7}&BlBӽ5Y=\ELsƂ]8Yc:l18DKM9rY{htnu3jN?{LQo4I4noRG~ϑY#x )5 9M@uȕ%mKK$bLN`M6|En);:{j]~'gj]1<=kobAz`蘼|-nU-Yln~hfl_w[?UvDNOF]fFN5P4^U^6-G2o%aFoOw=Yx ׅg^YDè4fm‡3fͬ;mfǫh8.=$Ea_it'؝?ӽ<]<۴OiL ,u68EOJk,L-਱ק.QUF]ܼO&JpD_˽%gv/ O|b&Ҕdct?~̶э-K'HoߟK9{f+Ǜ)ӧ2q֐I7`j-}w5M~.NS8F nskp{vtپybKx.yvS]~赙˸mm<^4mDޙWGkoĄMUku۳BVިѬ*8?槍L+ħڞov5}cy#c pٽ\j;dKi=Y55 ئrrzw̼"u=C;}#zs? >7=^6CI˙N5~WWs:{.ƫn¦pDC$ 46־r(%dUs[˟\--&{J<㋶[klv^?5qnCr^>m}:*Jwhk} J !@BD @@Pmڳs8>DMd6sa^n{郎#?K:v̽'_}zy_&}8n^ggń|;}=5Ymp2>iFiFCsJ&Uwv?_vg9vsⱂB4ڲT˹E>=QnՓ}NщBvZ+zkO/wܜI*y`P;~3͖ŅS^[6CLۋۊXW2>D f39U⡜yBӻu&OT=SSWiZꐪ>klx:O30nÌsdGДo>M>kWN oK/:f yj[#"}J'9C'*z`j47IYPOӠ~ X+ l Ǒ_em[ln{ wz7b.u-#-˻쁗i_Tqd2:l'X'vo3h+)I鎵QgiU|_dj?En[ө3N&ߥi*g7+QJ1v+uoٳXW8 mc×1sq\19v%}dfd D.fYޙb_J+}mm.3ΧpS߶]Zl~ڼӏςd:k}x <^F.vs88L5\t}2浝fgA|R# zC)-|ږ_b}{ܣXGl:`s+^!Ttdk?30*!sԿtGkWËdWuGwZ/6&Mq]wпTk.c\x7W_"W5u;9fQ!=tVS1ᩄ\ɇw&{`Xoқ*w%'+-K%صY/TG6Q{[Lw1^${zY&_lAYnSYfuKeoG)5[UjtGuwmj9۵^4YGq[u/EUS-hUd~0~zl̆Sjea\CԙJ:#\ejb+]|eݳgjXˉ]yY6 Jγɿ[CU-?yX߀ts~L9[Eo0po߿/T4~rZimDkY_n U]w((F~e׬Ru]E"޴A/{[p_{JT>g[s =瑳w4y#1;+6fw>*:?M+b9Jwp磂X^01a/_;ɥgOB>Cn6zm Kngߵh{Nέ{qO?tz>5ߣ''O^R%t_k!K_Y$")N^)oK.ˉYo_::X3ӿJ/q2UzmQ"B+PbN}} vvʊqY&14[Zߥ5"qlRV]BGk\Tm3ޠ"g0_}f> 1v] *:ۦ;S_vws Ukl}q߹+%'b__ZQ~^WrF~oG'^zlg;vw.GJ鵫8OvMW[m Kk-ΪRfop^. &ӂGJꯋR߬:unV:'/Oo%c+؇rMh)F.\]aÖmR}]ses]ǿm9w=:KNA˝MupEܘx~9V뱵UhvS TѦ+}˔eFӫL^[L&h)~ y֣OiK4ky|Sos-7GQ_kpZyU<+!I3kW-ETB/O\Ű2;rFttMj? W=)=UJkM|KI 0QwցӺVhz߇01BS;pqj>Vv<' #,.f[hPD?1ak^'bo7?+JVk.y}.>+7;t{WWjnJ)'c)rf/1Z>?4Sm/k#s7Z}儾|O: SǪY cq-+2TeK<öͭڌyWH߽^$8ci3Q}{ղ`+wfI߾O[k8'ޫ`H:M1ymف"W4ūpZe)~滗$eY81x4_M׆'З;ņymp7o3®t8<ݾ-_qsnEPb>I4|V1UFu݀I_[}smmW*vw7?{7}wM/<ś7GA8A[^~||߬~V; 9j6}~{m;^My߹n窡BK΅\N3u @fꢛ-\).67sYvw~J4n?˰k(2龜e]XͼM<{g̈́FJЬ!|k,ԖI9MO&f3OsOOqDoƕ-sQGбIA2릧#'pyF^FJ3ߨew9p't/k?oXf:p]xM>W'xW[ٳXC.]z^ga 1L޹W^r`e[q1t2ی*,m^ZON9 .|Վd6 6zwå`ާf{}کzyySU9 e'm +8&j3=$ݛtL\{4Au9/YJt$؏O^'3G;?˔7}XOr>#-]֡Iia9-7ߩۡߴJ22z'#p; ƊOǥYz{ze#zwӉo[?Nxf]ْMiznw1{Y̪cH=G_V;GoXUaQҜ່/t䗩Z#¬cB̗dbmDBpf{nxW϶ˁNQw[Sw^+z;>'LUs#9 -y,@˘lE`k-eLG)èy{4XНZoۙi(Yq2C ^d$4?RoܖGƃ^XVk6}*6ZKI:UnSdk؍7ӬNTwjܿ3*5njV#4r X?[q: Iw$Cd_GHz"7 fx;~nEa#akw8^O>K<*%17iP^pޠ묿VPL 7{-wSmt_Nπig8ELr!OsJB螷zWtšM7],CZ#:i3reWy~ Vvs}M[*Ԓ&[2ܲnzmLh~VUyOTdi2VfSZxUn,\뀷v0\c9`XK2这|!Mkt77<6m~w*+)'OķH'wFϟJIKU wƓŘi>#| Vi_j1 QٕC)a]>NgZ8g*zT7a;3$J'sY܅$S7I[/`$C`Qi$]X *}=_WDqyiޟ-Y&37gcwxxBN)^kMP<1!pg_Y`yu'WjO~7J H3doEzl/a'j*lo\|*%7GlxrFm9}Q鴪zuD]q]T5XmvQ+j.,dg ۝zH[ٸja24 ?j7oI[in;Xf/={x~ֻ"V9_gL<),X)z1PXp7:*ŹXt`1Zel^ꜺKWONle?{n_|ڙۧta;qOF='$+t |8BsPZM%CSa,%-33TԿ#Cpys?G4yzѓ3MưKg"7 ~Gf|\;~8(܊bv#00f!a5DNJn۹) ;-ܿr4X},Gewzߵ- >(?IA;>mbg(ik5#3?a|]jWT9)pKJN+xo3=54[9ur0Yepi ao VNP՗)-Ù9=uMO>p̀۷ ZiƷvzmްqf^߫Ƴ|geAy9z3==|f/%JLj}<,~dpy*S nop't2xl[e8_|6yk6o.W4} VT74튾V2[W_\q}qɊp.2}gm`OH?=|.+m=QJQ;I #ikkDya?3<)ޯV [uݯ  *9-Z6FX1@)NFuԝ2OGRu9=cn&vϚe2>]Xutug}Ϭs:kR8IWӜٛɀuƚUh{l|}:g%Ilu}}>Z?a%A~o7s _{ٮ?J_3h5rZjm%98rWZx_D[{JQuku\tw%tuV%zo I0(u4~+LX N[5ε{`vuVr<ȎEj?tzUMFs'j}FPvZ3}U]ڗyC2I۵znJ~˛ UuO_\/kT[8N>![Sem8Y]N)7*ʴиI 9FD7'Q)'{\O3 ^ևűvv_vY63!ˬfSiv +~Jo2.Ã0=6?A'X>z}=:s^׻ђ+pYN2>p l3y ҾcB9VF56kMu-z>AWҸjϢd6YKH(uŻWR}^908Qfj}^|*mܪn 0N¬=s=Ta̟Ҽ f0t4WLv=R'g/mN[?ńBMZѵyk;K{f˝ڀ;s =˥<zoKɲ_\#5{;gN9-J-}wXy(7cդ~Yܨ{ \._q+/yE} *Y7pܿ!eZw. OecmbNnLklRY2-핼'%Fۓk{ŋM\Q;{;,yI0dLzNKz_RXubm>^1!s"ߡ\?XlwS {;?ӷ_nǫGFfG5kd.PfuCnn7{Eut؍<;U>z^݄}[Ck/LN?ΏG3i0ֺ7lS꼋=[t嫳:Ѵ:TkvMijټ3ODz_i5Tܭx<6w}|\eJz3) 7[_0)xm&>hO8;$ NgC,Tor#Xy:.c姪Jjk^Lo/> I64(_Ug[\r^o.敵Jd&F]^UÜcΔ.W)%Aty+$ŏ'v{7hz^Vb$JmtH%ZM^g%Gzy \yԿv&B״ͨvq۰l?ޯ&#. 鷸8%#pk>AR4DqMtDBzFK-^`6W̹3}}"<ڡҖGԳm1k[p`=75wkpMx#i^*MD?U J K_^*>c{妱3BfާdG#oOٞV'[f'Ԏ2{ppe-%'wO;9;$oYEꮴWY{r9}kz{s&LĨ7_"ݳ,1:'moM#5k &MPa-/́y߳rNF뭥8[avvΧ͈Yij)p!~2-wy19~/G,kiru(:̸| /zl^X!?6ok'z"O~h!N@cc̭\bE']ɭ77v+~fƉnl^q%VS'<2^CUiG4bfN:'ӊg>OC`\\nyr`m;YZ8/ށWOyj`Ly; zU%o O%T33*!?L9zj:NUvMb'%<ӧ~&fD=6bтe?{~ר͗mI=p#d4_lGѹcp؍^"&b wv3ٱYHx7/5峢G{cw#D٬Дsy|5dĚ.v+7)ȁSv;-B ջz8\S&ĝGWqxl(M&kiVmŵ@L8O+9i^O::m(WQJҔ_ .a,Vve-2B[Co1=w+u{[[8Ѽճ K"U+LeqOD8G:fwT"K~* 5.lma۲.%+a|=/W-ܣYٟ+M{.uEQIECu]P 7nDtGSV*?|%ozƵ[[WNj.-_y|ryYåo7=dXqA7_q1^ΦA43z2׷8Y&/"nB\&MWV+ډ% OVgǺBy|-gM7yAL."0̘5ت)hlS̺d /OwqdfR3|U76~J&m*([Zwjm6B4ĀxtgLA/Aek<7aB{SvĤ]Dbk{'ft n5/]VGZmK4;ؽ"XC͢tʽ[0fu"^JBk4mm&/JF9leZ_j~S NFAa9?uNdUawQG昝=6Jo7clir䞛ڼnV]ݧ?UNeuOںFI_BQ¾~v0m%_1ְ!Ԧ?%|,mʶw3L~R.gGK!2ٔ:o Ͽ=[WU5vƜwӃeqO+9"ype$IoɭO w-1l9]V;mMDF,=^@"H:A h㸽 'VMrY뜅?M9(~6V}ں;jG],m ͆&/VxZF_tϹGf['!%Eb>=:?:|PpZk%!c?(֙ԏYi[C?og ;]7?3Q5%kaspII!} g ::p-ҩL'nJ+7k YR([[&9'W*Z/fuK]?3RId_no{Y}kPG!E݁v[Յʂtiu3s_ڏvWc._s<)˿a?>-,/6=ONjoQјs/;{DGC!U\pGJMz'QyWwEm2Rf;mx:Jo/l:íMXjg:XIz|4'Z6ۓ>*SpZR7XU8z-|\e$צipW m5՚nSΆ"I~)2=sYgtoۑI{n4*y [WZQ[Jua~[X*]ϊ?CBdzX/_[v=;g1iWeJuZӬ?xg2ZU-l.: q :a;7ldxw޸R۴8tjBx*H'I#·5vގwǠf6hNY[K\bWc#a$vuO0ޓǍFվoZӸRnK2EY,Lxw Ya5uFjWSU(t1Q~lkΣ}.hYp'/~z8tv1evuG|;Uc˩8sͮ|2sXoe9$fqzu4:6Z!6!{SKYWV;F-HԴ}]ÖQ83ne#J`?3dV~ ;~'2wdGԶQd1W.{va '7ZMb-zP?fM{|kڠ:p\:u\}93enWGe13o%n?E(u>|X O'MC҅q,=}kZzC)gڮo{v[?q|}Xx~IUKk8v8}SR7GeTdf̶uϯG*i&bRb;mgk8פ7ma?A/s$f? _?$Ͱ\3Y?G]1e TN/lmg)ʶ"/xYNp|its^5~UkNpzou: oJx#O7 Mbª9gz*|ܶR+shUCSeDzi0? Ѱ6flyK-{۴f o3ƺkٹя\-jw"GUZMWSnQMHlh;p/x#і+O8fB{u(cxΠ~~ܶ$V.s]fza"o|bf}♃B *6=}Nz|kw_x7j> ƠƩV<1r3kشt^XۚĒE*V4nfMJYYN9DW,} ZoUhv?qңt…i|LS..|ɧjvͯƖjW|I ͍L=\h؍F?6ns:ׅ؇<妄OD%KeG{9ebVJ>qw t]2BLn(͓4~w/]{xdr:鼹shvm7_0cضKzBtay)-~YJ0juEш5xn;|4ܞKϞɇE@j^}o|3m\`qݯIE?m~Ij5Z#/Hΐ]9inwwiK>u w+l߇lhXU_ɷcIf$G`l"xX|~W^]39O_J7Juy1p|XsVYTL23"f~.Gk4t1e0̈F+J.sT]ogQ>-?BteDŪCz\덍`_q>3>wKcw?;%'*q7dCA?d1L|ܦ ld0(Ӷ|o-5:zm\oe^l0|(GbJ=ۻ$=3`,Y .Q1#}Ws>$;s̏_}8Ϩlp&,',?teY?Х&Gڻ^﷦ jSm!nҎgu1?O$%6eorķB.mfgvgᎇwD:l}TeetARbR i.ae$ÑY2Ώ=)Cz=㲻'1!(rJ98ZF2Ғ{w4]%4yI1i'zofʟ*'o-&Wkhǭm1gnUNEVTjWw+ߦI{Mi T{!\βF3wٴ1k9x5YnmoG'g.ײX̖b=iqduZw ז֧ Wz|Q7I+ Wp]Pw/lH'{>Ti$ ~#6hcE6r[R9==J'ENw"u+իxʭĵCo܎J\:}ܵ- &~}Mmy&I]oS_)0I4-Բb٫BBČ<`k܃-T=Ja%=APOayc3v SBDtKzЏ_wLkE]"#`9.zmFAY8-mrߥܑ8U+룢6vjU7_N?}&^ߗw_M X6W)c<܉m1g I V,騨>c, z2"v>CX;Q4Nǝ|rƧQvwU+MkP9&֚!I3)Bk4Qt݊MrŎW/}>yQy@4 ph| ݄~MZk|?Mץ)s^nvQuyKMyº0-7R[Xb6ytUwT| 7'4.>Et}QT{m5N.y=ZZl, ӖLu4+}IfȽ&߿Dd5Nf.wk=jxkri^rmq [ړ{/R+ySm^{kpT|vko ŒK@R(~J3&KEHOo't1:}f&w4ܑVt_\Yz:O:%KBZ~1o nk,Vvn_:_}CjXx M|O<{M[v#!ӿi>i2lm+'ei-wijx߿U4wk0`=.,Z;ME6->s)hYf@,$};|cݝKgpqu:7Ϡ :]UQ1ŮkեZsHǓnu}BrH?˾ڽ'5ySz^geی |9*{_802t=۷Lܸ+`|Wxq9Ŀ;niHԹ8p47,ZS7]>GZXU_%e{p06x.DJiy''0%[ 礡U|Nx\,V0+8Ϋ`PJxůQz6}g.aBu2 Yr_+oer_t5G]ij;7ee};1Gmcv:=wbGkZo|}gZxHGr&nhK߀wU4{ pynT|X^TɃz=^(*_v?(J}[y:3MFϼVB"uZ_M3zM,(~D6iQo=%5b=]˧Q7p0݇mQĖ;^U5Iy}~MW}?ifmU'㎯AZ50bk\G1,q\3gQU?;!KjE,9YE=~/}f2y66_ [7㤱q7{u9.7.u>%˧Mkw,Vrt\=ö3bv:>y׵@>G,cn|&d~j?_`βX~NcJӢ$e-GIo*5]]Jʫ[ϊpc_S\:%}j\2nxyڔ,xgް_$6~ KBV`ջid;6ȯi每jki~l.Gu`?NEw)#8*:,+)Î3̥n>z;ğLVhm6Tc.Q3CC/iE*?ıXJF58}>o)>g"9-I_KTcqkзnش2wN0srkQ]֍CAݘy_ed9 *voؠmzQzļ'?hG0| ﹰkxٗVmYI>?i\if\K5Xx;wJV#m{XY6;h ;--{퀲a]h2W#5>%m#-:'(C,SNϞzd-3f2J&I:W:x4Ttv+ ?mcEe_M[︨nιѷ7WnON%O?7J\)f}I=p/MVt-.:jmByVWIXhJg[M.Soݖaop n[4G1~8Օoܫ+8nmtEZk YGn5=O i%[?_:{ jՃNod thJƺQ:1Bg1k-:oUtu~vuoVyɳ!ިwlB}ۿiڇ k/}-H=F'{jod_jxmi<0yЛJcT˳Ϯo  <j7> 35.KǪ wJ]U8{82#.K},:d7 V'`6TOr>>+6%Y WGhX UZK9E/3i#u^w$T^2lkѭBm;] &~g 鍿}K&Ao^>ۻTOrai_RV&r&=aZ'H%S'.컧3ao;! 岧z14NyVm/Vp4á-Vq|Kͺ:ʉ{04jQѠܟ/ U+Ŧu+T9HK5UEbf293,LbHqgD4|5k#ОE_+PC)Y~Wy UokHwڊN \53wyG}!%_KeJ=Gpı7?54i6C>/U(tDUb?vKI衽p5bCݏTZ%?V,O3H|CTTހwu& RfgW.ߔƭ%`ps3K]Gyejyo)H{Osg;Fy W-Y m˩j4q:7@~|K S!?rd͵cWw_hk BҨϺLV(2Li4bvB@h:s /yBQkhВEv;>UQ5g,ۇo_PL%t(M0v`ub0ef;IQwza˝$ Ma7 9)4.#qΙ}A [fzbj'0y#Ko].zYu~g5w.Rw92"XxUg!&_ &' ί+sW}\V=Blw^6{Vd:rFArx5Mz9kbn7Z 7{z/p},+  F7RޏbjGpS #@S}&:C97{.?Wg1F&p~%e4Z,pOi Fw*46aL^`923xz${\q}oc-w~'@uv,e1E pX;QjhlJ+ϔz!:9AçCܯ9fNnOm3b8~iikcqA2>A#-h* ZC2V-brP6a$NAv}8,cd}]/[;/[ z18_D=E׳`|{h=)+CEr"*Ze4/ʓPܒȪZk\0Q i;TbiNC%L]oz2]{Ra|_1p^1 !XW ǒuYfp1xT;]>aţҏ6ָcmэrs"U54xC<#ms1t*Sɠ}JG`4)}[PvbBa?E3噛b-fPƓx a;+pee諆qq:͙o,T!扲U Ea[W+XjN?T5WkÔ |-Tg &Y'qn10]37Sj.T#.ټcEF0K ?l5{[:˾0>Ȳo)ǻϨVXJٱ4:^ = Ǿ!"5攛R6pY[)?4icޘ\*Ar=gtZXr=Zt Q?aÔ6V;ȴag#>y3/#TǨ{W:W/  C|EV^7rQ[z"! *e) l|ڒDg+e9^ƟF?wT9R$ПNݽǷoG#gCF^FfkÔqK1E3Mi.Ul6eL۞uwMpl鎐a+ǗfkDE8O"pZ==Uw*nk~F u[$N VE8B!gNBɮ4 ^C3{)ͩy3:ZFYlyds!b|71Oߑ_M)CܧhkJRv_-i ԩYkM_HmW3nK?~Wl :hΥ[@V24&K<]lF̋lUA|)pX_-awLJϘn,}J \ y)¥sM[>񊁯R yz ?CnON> k"a;esPhA(YqQYeo8O(0}sdhfMޔ4MY=!ʜK_VkHLyds,+׊T sR3xe =u# YK`ZSϣc)ԝeǐI=/-M+6a FL9GݢmV]r>IDQBӌ`0N|r)bg]2vӏgMp-/!MُGt{]cPLTƆkwfK;\Jas!4j2ȎTӞ|}##}nkb1g> 4oL\l(_{^v4ZtY-dtObNi9&||:683/k2д Fg`uNUQtüGMؖ8or^:s uGS xOB:4'.)?a.-c1q@PLnvs_MBقq*b=r9sі>V J.ڳS"yX/-f'^ۏaQlF%nR s;=?`g$ȿ~K37.if̓sƈIsk) Bn $g:s̿/vpѮ$ Iskқ r,F;2cvLlT/|͜'7<X}[HZV&F|NmhXJ:f7847DETg(q7m&ٱ;D}% )1G*x½K脤8Vl#a 4&ςEZ2c) VVX_Og<w6D% b[̩Ĝ"$.}ȑ)?E.MBa53flHɢ(!3N )( $Oyw7[I=y$Ey"Wn""hƞ>X}v5`CO/ŏ]l 8o?gӛB{,R(2t(R;*Eqt %/3EПG\r'5i 4ðv !/tv8d4D61儶`9h).ⱘpHYZYS_hzI3Hc5fkgsH;tH#&dFڔnTJrDܾr93?67'6'咦f Il[lͱ>+'ฐgO :u>e}xo=nv*meLȴޔt" 9c.DYS-䤗a2YAH&3VPdОQ (y BLR# (I ]I2xNc&JO4G})#RX eJYj)nq wOh7sDeNe!ђ5ky6Fhci4eǞq<>S # -G^92asE՛s=cc$x[ʱ9bwgГ k<\*<6eL6X 1fاJa)C ̙.E1cu/Fϕc_EeA8Fc~ٗ  i@ԇq$i\8 z# im A$cN;Cvb㙷1c{f9.FX $ yLKy4Ȫ9;Dh",cr 4<Ѽ # ^@pEy3F"0'4w>hpf>:%XwNܥ8X%X-?p8r^}!GRiJ2dSJnʡQ8BLRxsxw͙/FAC@\OuV!v?`a&~E1n6L"M(\MI*hƬxN/b(<P$A-8FS:_ȳ@^ tv1Rrc`:KP֗Ê@@L^ByXr$Qq3镳;h$@] 2@! S$YtyO2Α@>prRCx` 0%3g w4ǚjN-eTF#n"ymIRD3c48(2+(e 2f Qj5'C{Oz3LΏf <Ɛ o7c6z=-F/Qo?GĘDT1#FZGNlJ,ȔDDQÀXgc(uHH-"J<Üs+#yl)&fZK{:g`"3lE\TLC@Ҽ~HB<ΏC@VFq4ZCb'P?쳚a5ࣟd` n-|Xv cz8^AlVJb='@<qKJ&` L82a~R\J8@Pc)<|FNkM<y,:y<d4#x-% !I8|M,E2h6dn Yr1F>V/&rre eC8(;ħw&J|Y (Zq@?4 Xq:BHҎ9taL(!ёFL#H4.?Gs\ z,0Bsz!Y*pD#[g 1=PcJsrEqq5d?Ŝh+,0C2z8xʌ ykHHBE"5E’",}O#/z$ 5G㚢Pj y7!:|,%ԪDQ͑a =bt Ap)ȏi&B̝StOINA* w G,/='$8qH`KRL/F0F||tq>Gp=@5٪/e`21(JQ)4gh#T?sNlΡM(lŗcr[ Yp˸dlI<]LQ[LPW y:.XM3pC*pќs04b@Bw m/y?%OQ)Qh;g=eC<18c.43BA^Qbv>gtBa?"~;Ƥ Izr~ y$x );fd^Z]Ny3G`zG `gʹ,w$e,F,d$͸(\FXSP c%tieS/,EW ^=jy"ܚdccZNif+ Gd9'͕"s!7gX8T}J*iv.f`q="LWY*= `14.nO6#;C0D99H)G:DGlNHc]x)' E`_#D,N xfD<C~DZ، 8g˞do_Rxy :Et/4{IM/t}!a(3[g)/cHIĩ08t1#>ni0bktdT˩2h9E*Q,G薑Q*e0e>ݝK4\Z_ !,d^yF,崄x% 7fs4R͈6 dU0'9GhT6Cٍ;0h;'زY1' L#0h{ ",X68Ŭ7'dÖ3Kqc6XƐP#*L<sMy(Ma.&aH g 9且%4o1a(2[(HjJ)D#k`4dِ-C.Uؘ!Mɇ9x`+4/<+ $ɫ% i&fxev9#@oq+EPsxy%4DrdxB$(?bSQW٤+!CHdݙ#:>_1U-'xvGsfFczKcN{.Eט4r9,q%i*gێ<c@_ W Ñ4&C f\3iθ`Hk `2 o ܐDa(,V . O /glIGh0)|8嬕/'u"d!#xM`)$p0>&²e7 ɲRhGP\z ,sC[Qg sq9PQ#\KZrJ 6GH/d) 3e6&i(L8f)9t9FCfœX %M03XQ;D?$}-E4\>HIvǒZ!2%de)4[ @bcLr/K38f)(Sٝ/' bf"9'8#DkNPkp G]y2exbxFS(;8ߚ€3LҘd  oz i>=`@[KFeȀC\).V?謋#@}O>Ǟw `Qu596ৗgHv3pCD3AH\mKy/Y2?Ĺo?q4qM_3$YFRPl:gr0'D3=N5 lbٔ0}/Dҟ#>wJ*wKY*pI|ɒ9>%ZRHG$?Dɖ&i.;ԭú|y,gx4|IH\}/f& "P{t 5ei5lqL1G^:'t@SzOS#1y$Hb|O9?8.>ǸȖ1y&Lԉ)9EХ۔CkyR?𱕒p&ÝQsFN@cL83jaj;̄5<Ęd30)D96$t%X|CW $QFB&t4;p8 M?1E8!9gј5>f0<DbS|fJIs2lƇ؜)BxcI.WAK2t .JrPTWʹdM!Q3l7xLwɒr#L0P0D[.T|t&HrGkM9*#S:< *7f|;,BXB)p8^65e4zMi/QQ( u'3D->4Dn. FӟRvN~4V3A2Xڞqy?ry*HRhz0GxɕU̙t%ٌ/F bҔÎ5(y'"GXIG"(͜C$5(!آ!p~7X5E\΋  ZN93¡I>Ü!ۊMj90FCraG-G\:$AR 򋏩 $rPhOd- ǜc@_Ow)=E DN,0ɞ5PC+FXC@@&8,hdC0VG~kK:Fxɐ.G H2LM K١Q&Fd)Q6ěcfbDq)Ƥxa RP#ش8Jq'͈HB78"+4,)< 1]=̉'y:๕4) >}$@ħC FGH5 s<2NzƳkQ2tL0_ȳ~DWXNq-d֜PFsR7CpR##qɒl00Cv Hd#O#-' fy2`ț|EEn4&sF 3ĉh/4QxyéD]!|;FX'"R7B^i ٬/deFsp fH[%(cj`Xc6<TB%ܪ<=EBdbȍ7G1>exy)El'"DCV yr4%,ۗ]F&ךFC`N@^I S,%T ?įsmJpCkLS0.D^Q;ñh( A?*B|PR$n0CkM8"Nq=E! "]ƢXJ}cFc:C`^!z>e|" g \'aHCtwЏ$Ni˱f>̉\ LF^ T1 0F3j6㑥Q9GǔYN/p."|3}uxD365?ft0ɡ, r q&`,Ĥ0CQT7x2&(LLәr~IlًHIRK!KGS|l]ȓXf !v3pRꗳlKqS48(Ÿ:spϱ}/ez IB/sL8gHÎ愥Rj ӾDsIve9"|w\HlQj*E9?p4`̜bx՟pSs1)FhFPk1%$IGƜw7X2fX,6B1j >/;AsnK!%OQ:_b,ta:BcAQJі4&tܜhK32dM$J1X z*fE3P[4r=fp` =Gq?EŸ(rdYMIN.Ǡ1o 3<}PLYVBlJG!!fNoO öpJg )1xDi>Ő x>{K `c ys͡6'IC' |#5rP5x/GPj3gd4%PœFuϡlK3'0~# a9ŐL2cOxmK(.'(cV17T3^o a" -"Q<PdGCNhNz<ԗcMPTKi;4,ƜL.GH}8EPyylEEVVN0Fc[yu SZ8AO Ḍ&\TԓC ?hXqN)~fo ɜ8Љ?g( |Sxːt<\CXOQT#yj,e(>z"HUˁj$Lii" Z،4',:2~KBpJQf't6y3fÜ~)J5SVŤ1Мp9,<dL'1G,攡 O٭<,t=GPfq 1/ ș"Q&s8BBR|I"{)u%b3| "q'Ky/E\!\Z yE$y+ۚrꖲ#BSҌsoH3f<g0ӢVKѱ<̕)HaN-eL9Xd^J?3krM?'!HeIB<\QoTjHSTxKA!P=ù<Rrƌ7%0lK*cDvCt]:0(Shoˉ"I*D刣9Y'̰|ʁ?'#8R҄Zqq(٨3'`5gxlVN2y%"X|Sa䮗RY,!Av(@iHrHS 3C1?ĩ:CzW[ˡȂ/gpX[Y0eD K0fX19'8Zωr/.qK1,f0rrpj2詑<pl?:1Y<('2q3|@_(fJn50}O3IW/Ƅř"h lъ9Ù$GS.7F$x,ؾbLwc h/:h,Dv ;@;)D1c3%JQ/G (tܝ3XX 5E%,U ".GݓdcSdY8(ޗR*'Jy4gt3E8R\"ə6f2Z9'H͛pX-9gw5'<XHl 5g).Fw9T'zKa>kA?4T gTs&N0#"Q!>0P"WH.^E!M;#lxK1?x3ԙBxr a4]I| &H΃!)Es `O$cp=#<8C`T m?d)E钇xӟo*/('rq.dĀ$xeQßBP NXʓ=g,epÐ]؃0%Gbp +erPc@Ă"1O8|1&l!ag-&p8Ǭi98jEqMOsQL% }9) Rc 9w4cʙǓ'ǎa>g,IspxYNvv lo@<&\j IM 6I9dL91Vˑ3trNlhhF&t=К8Eq*CCdҪ| (sZ VHgҖPٕ3Y09Fʝ$bpu2F*\ iN9R9Fܞr2&< 9(u>P'Jlq&Ԙb.INsQu5bpǘ3oO5$xC] a=dr-ȨGd$2*<3F T!\LY7f<9|b.hg$a-%%04F5u:ɊKb}s5!i>"G$KK1/ 9Ƅ㛡#*uLrYIH%LQ5TiZOL`L\:vtXK7~9I4y*%!-}.%$b<D1zQJv' :ZyMEǸXҦsbhaMx3%U_,̛3 E#tdzflp%H䴗SB# K$TOd#S$YpM`bnHwRKЧ<󚃐>bܜ3F0tѽ'SR:T,Qc1$yGGQ1$?iFM0/Ǹܣ^'ITnJ07Ц3emNyJJDO=8ƝZH&㞚1$eOlKKh5"Oz|\bHtb` ~90 M2WF4p5(_ӘdtP+ЎiN: >iH1M꟣P ,TvNQI1#h nSlMҤ$A<҉:-crkRʞ+ŴKB|јBDNSt7 (ar̙`7eG"V 2Mz}qK)n"bV,I T՚d'xHuҘR2m#pSA$ڤm-!&qFzFG+ŕ#"?HS 侐 QLKG"0/ K1LJ dwoRY)O,$$٦?IIwaҐ{[R0ʤip"5T>I+h^ 3;Ma,; R+.7i8%P=I˖ץ(4?i@tE| C?Nѥ00;F /6 - LO0%0NN]*RM Q=?'+ŕ* =zz ̑)" d$WR17hr6 `pB S?H Q.gdE(G8ZNdD9CRU.XN)!_pQ\x h.= rE0D%`$A $dFEMn="Le`A83f?0=EGtg>lif6f|gzg6G\z0lB5tF]0 Ap瞡vls' sV%f_Nt!a!pq 9ފ1ɫ)7A4ӊ>ý5Q1Ty'/>4BbO0(53ӄ4=; @iAIYq5C`Q 5;?#?8uql~g2è:y'|fyNjƾgG4mekNPXμgVbh?n636?v'ohxp|hgf%LhT32cL3~'jsxOp4;wG(j~'bKa̚;c:CN2/8ɛ}=c;ú4>9$q{5=53-8nuf~eq0uNxfXrXw]Úщ8(:i53n6N1&~^T>=c+4S73>9.tƝ?A6i9qa5t3i411&vszP8Y9!q}=&7>_5À50X`ȞI}<4/|xzgtgtGhvGvvkF(s=]3S9Cc6Ӹ2?=3go&G,MߏH4c44?S=5N<6 ifmpyGaO @ɏx Mt Q9{84Z1$Lş=~=\8S5cD4D2;:ә:[-i铝1Η-?);ô5?36ы5s*:88,82k&ymfine'ig&Ɲᱚ8vjh&g˝ !y6#'?;C_Ϩ ΌxٍHKɛ +4S/}TsfF}GP{5:S8(O(돴L))bL11'LsF^O|dL g,q`ofjnv=aA͚tf|ppXogi4AYQ1.=Q41gx~pgGhk'Xjkueg(jvu omXexfgv&Xexmgze͘scL Oάэ( :2&Ě1i鸚Ę|49:#/2vG?44ӗ/G$uxƺzJ{EtʏM |Dˎ4 DٲYߞYʙޝ.OM,OtޚY vqf,⍸NNȨ ܿ!134C3U?64|20 v&u^i&o伝ÞYi9W/ zgRo`~g%š7:C7:`2ی(̸YqΗeM4Y18?-;-/EedqlmFku\w_M)ş˚A6ӝ8\/ yܝٟQa Ԝ>sh=E1'o'4|6sqS~?s6~qiv'clՏh*4S ^?S4c=#b74?22dX͘9c8}dNavl'tgtfkFd݋fs*lGpu~&p~geΎ}4?ybNݏ4Վ܍hq(s KFnfgh`zΌ1Q75C09<4٘S`5teGe~n*adO |Oht9!YQyʜ 㞡5C2?S9f6=535n48z[:="M o% œɠ!Qiښ)ؗF\!Fc f LaIi/ƎoLu~mt| z^{ AQh2"xha`NNNPvt,ɪeɫyɖHΠ΀O=85R>6vGt'dsǬeGrpj4w~pLjq'jzwRwgg:aNdθKfV{fZkgul~Bwl~GjvjtVtfP~^wp$aL؎N< Ş)h71wNJhefhgXlP}}aNݞqΗgfqtzoGjxzG^wvb̈́ lƙ:e>XX=S2V8#>c6f/zx'fGwdϜȜq՟ 1 A0|FRo~$ihǀmf LݏLMFj<OaR=C0ghgg&pF(H M(̘S"~&` ͝ 9ꍀ@ΔTOD yy{8>#=í/'NoPolÚђ6u:P35A/}{%莀A=U=<>=c1eѥޙ \>S6#t:C:` (MDߌi!ᘗ=cl2̠h Y2>5cb=737a M f`eǪaLϤލΔN LaƜ99=;882eF44:3y;ql|'6tdˍxNt، p Nضq&^hs5S9T6?sw=#m&H 瘳:.8g',oqqvc܌IIa֚qaC=S/p&jig\Y}t^ ٌٿÀ<30'pff$lOJa?7E0j'8v4 znTpaM›yYiь2xh}hr|3+?c7s39q=o8CG>87#^2&]!i?c~Dg4yqni@X}'d\S,;W><:;\ !Iypkhxgjurx6gn|qG {b͘LAY;D<<.q O6C9533V4cW?43_=cgǼa ÛAaaΛY黙j|j&hmgǸ_ Η.0|0'_M Ɵ)98>J5RMN\K yI鸛QyٛҘ#J3nvfNrG_xM9yx3J8cX:S=?2>fӯ8#G2s/gs.c0J̉Iʟ}3ӎ6W5闗Gvf^͸ᨙyi'xjtg|uGvin`HYrpm ʋ ɀ/|dN X |N뚁:n6S/~iFvfo4o\xu&|'RmfswbA馛IC2=#(Έݎ<(7=>(92c93辞ѳ1қ1y ۝vf-y)A˚Ʌ2?8Cd6a(qEQϛ˟po]Qyd Y18C?R6S]<73 m wf,(qr^Kɵi!a1rjhFtw'>fw%L όy6:|v&f^{rdt8e&gšC<3->3:8b.NPaΜ!9~Xdَ(65e?>84Cs?jpE QqOМ;18F>>y651FiEH 8!19;?6:X:jgeci!z/X~znf{o_N,Ѝԍ, Q pT_4d ̎ƟIGGrRa4 MřY햏ϨFpG@j&hFVftvN[;#?b=Cu9cd7/f(~(ΐM S8:f |f~xpqgXq'fgg~#U<.<343Ô4SR=4N;cm-Ia|:cf'b)/bvFVbϼ XN$ϔLNM ڎp XXd 4팴Oގف3OLO˳Q6S?S62N 鎤Nt͌1lLa4C:Ӏ4p=cl5h/ǨnGnrDzo&hm\dh(ΌM4΍N 4 , \lAYř|=Ӟ<:cS<${tfO Y>2::#5:jGtwHr`|VjrnbMNdd̠ٸ)ٛѿa<3J<{lrEw^fƔq'`swd{XjibM|O\ݏYIi999#+3#X;S6sapL!qÛ!ܘ5A7#(wuFwgnqFΏ\NhMNMOӎMޏ|Z/{zvjl_OO(NLHx͔ TNd şL 9?:#?s5Thzh&t@{|sgBzp@OM(俁Q4#923P?qlN )ǜ1QytTfF{'f\A&v^܎Me 3#5U>#?Q0Ɯp'ugu XT Y165ù(pfvf}fjFMM-IIC*:veEꌰʎ< 3jFn'q&4rsF|;#o{*{Fy|o&nf{@휱ț9c14eMhx }:#2itl y˜0>uƂ ML)Ἓi>=r{&4ͨ 6$svψьyq0Pmu˓x?m7?P9sGFn%b0FzCh=01'icD؏` ū&$<d'UEN"Pe%" 48y-3@?('^88S5$H #Q'ӸTأ7$<%92iʍ@P&?a&#U> :J7!N\Cx;o<t'bdM@x0WN|*`}ˍD&A% hR = rJb3 '8Jp9! Qa=)M"yD$\|րH@4`^@O8NM }S4$XN? 6trKvS .Hզ6iO%*)uRpZG (.IN*nB45I~Om)!RN TI入"A?hHb2MX|%*`$[M9!jOS,)AHxS]/ _F@Z[3&%@>! QE `cӀۥ=p'=/01 X L16E`7AH "ZQ: ކ6J`N%%D8 `S֟p_,E~ \2T˅"S>>H1 r 8;'%BT0NH7'+N^8zN0@#V$q\ P@=_$ÂA pjRPI.[0ÅZP>YC 燼Bp=DL3A X_B {V! xm@3 et*A (,Ap  4F `vC 0@–@ hۆt9ctB0#bA` XwPԃkAXapSB`B0>l Q@NH&CЦnA3a2PE4@w@_8nC pX5Ac @1 @m@Tм(B ! h*H aH hWB4.!S bò Ɔ?AxM(ÞTaaD Z`w XBjփmBT XO=`aRB@2 x;0 TC  Z A]C A ?$"18[P"C0>Ay p L.!,@o pd")!X~¾6p/X3! <0=AptCzp; c YC+aB 4l HY<;` l\/}Cа%p>a>a QbP45 m@L>0&d6 ( R4 Г kB$6A{B 0e_B <Av D/ s86O<<y8Q,.A@ƅ?!s2#Yn#j` &5a )X1! SPʇ @dlP솈+!} [l?"@>A,2 (Qp xX|d݄`~B<`(7AaHmC`҇4=!8]B,/Ah XBlx}2@\К7ajCTf? Ь;a\! tî@W\3a mA-a >+Am pWÒ4)w \8a ep6U 1 X`ބ8Cd1q Hk) Y) O\4A@jB@3 3 م3#! pzhuC P= PRp)Anb@mCh0f 6&]0lBo@@z,;h^)!OCD mj@l>a pcBp"x* `D4@=6 hx0wr PL-8A4p%("@/``<\A*!zgÈ O;B1n`~C:0  -ak ~2` q2  {G >G,5AXw8 8UA 0h<#!Ѕ,:an 8AQ8 Mn,A*R,28$ÒلH_0H?uB*!F ?4\meOH#:Adׁp_C0.AQ:1!bwB0\ۆ|# ;@`#CE(6p t@8#ê u-8~AXt= {`P&2h C 9i`#C:8p+!9BȅrcB0e@ <;t 0>| ? D@e uAxvA>A0߇3 pP.< h:8`PT*I J)A aC1AD0 9ap qj HT`Pn¬!M m0; l=A >k8'v`p}cZ:!lT,Aq*x Eh(.^C2@.(pp@ȃ4 L%h3 I1 E:&^a[C*MKxk.t PVz(0x.p#X{CJ mC!PH@ #?4H&^x}`0ZB'(C^І\0A4 ! Йp( p [` q C `*`h~L pttZ ߇L(CdC6a}@L: }8h@P3aN qh4>8wK p<7! I85 / @3a$f z hUa}ņ,-As$K >1 "|:AP/T& HzBX3 ^ F쀄@ D(Q@B!D(""KYbЭ<-!n L9!F eB!WČ4AxK) K3Xm89r\pM- ^ 8R2 CUu*D82Ay9_0hl ncx|P҄xe<fCd(5Ri<[Э'nЉx3ia 0%j\(p8(B @ׇ7a1| piP1$лduÀLD/!zs`A zv YB,5Pb (^$`A͆;p B`Tp&{@Ȁ;0`Y D ,bw0߇w a~``6 (=b߃sÞl/ γ27aha (tl}6:h'͇ @+hp+q D" BD *B"D !'^`'W@ƅa6` Y.fZpu{yD0eu,9uxD;0`AXr;M̃F6h!C ڰ$B`t< ^5;͘9BSm\M-p^ -rt(F,=޿}C<cc` AQ.pن4al [mn{g冀!xa`ރ{6l⪁ң^0+8. IFngh'h D( q4AAAAK"` Cz Eq/I^xxxx QML@ӆ3=6͛6z#=B!D!D@HP-{Uw41;.2]1 @505"|@@D(B"!f]t'o6XқT\5GA]SMz隂ԚM&<^Q(DD""% 't*&LF㋗@J ŬQcg?؃ TER>+? @d V\Z ;NhzSO U QMrIY~ZzcfhS&|}*3<'(a<2x{R7#t#,HhfX c6Ya= x}N1ԣB{ @sLvg΄4La [539=K:iJE)FLR|t &l9k1VRKp D* -3c70w-}uWT +=e[ #,/uN݋` ?V s3`k]V2O֥@#6JäTmx%+U̗%^=̦BT @,|[jp&װwGxZ>ӵ>l7*fm"Z1 g6 ij˃nTm<@u?3ҔQC\|YhB8,,uMBr=>7`<_QV"3^{[gx"Om墦uA_4r\݃PTOwkLMy"H%Owέ@pEpiѕӁuD.eP4`SQFYσx օb꺳`YJ rQʷeLNfepd%§vnºP=ީs]T$egom?3|Z RXEQ PTxk~ػ \n fiTiB7쿹j]5Et,1^5 *M HST.:s [oS=g2⚬TTڷOz{wG}e&,+A2 4qU%v_8&pvLMSM\ fYIIjFd/E fk-ĪǍ›֛\㩆nuvW#F- vq} 8N@[<,@\>~D~,f!r>*ǃ˵x @_0*򟧬#ٌ6;-E;T ֣,= ˵щVwOә5#%6\QCe˨ʙAL Qa>bv(l I=J *6>0*=arj~p?ղ3j-[VGU+2U1\f/ 7%Oخ^r)S;-í`\OXiʛحiI\6UX f0oeG|IK+6`?邆ʔ/Abhvgw)3 ̀]K7o68#f(v ک ɓU{D^8GtuٹvCS$ S\9G]O2kYV:mC~l,?|ÿ BPF   Jc"u_W`yXP,4osG@B@Q8ϗe-LMT<I[>4}9uZGe-Ӎt^`W=ÕX( n Z<[t׿/20DrXEΒnc {2!̂vS=ҀԧWL~gc\JjlBh7-Inӭx_%\ O:{jFutv/ ] ,SzZюeגU-@LI;/kWSMyNӻXdlb+npoаv$\h#A7YS3'ޟPm] (O,%VxPzo}k0:B€Th &4D|bm[3>>OK?gQ1mc^( p~í!4iPi y;]Q6zRtZXN==QH+cHp\s~fƮwy L)vM󃷾wE/aKzc}\WV“|_*zN covПmۧg8w ׶#{Lc:ŃC[#Ϸ?l=%c& 14Όq/E 78иbX1"GPn.'l㚣^r谱D<}.Lݕg h0 !"riGuh`!9bwĵo82? q|e\+*x/3x6[Gv 4yo#LZ1.G;ھ[n2conؓ<7ۼ8*4:xM=cج/#ul4ҋn%69xH&_F{!(b کRB ]NOzW 2^ [\+~@HFgxAވ'|%j*/A`;mP:9UhEF"}iGX͚Y3 /JOg~&kjSx3WTWIvMt |)Xɥ2txb%4\̥("|9oRJ]ՇE<]X Dž>&5X΄ C\#D>;C];&=eIU)p! HRV~_5C!x EOPY  1VpŸ|/fIvcj. PfLz߅sgWxd$Bm8ʥת&)= _KbN%"ymO` RIyCy`aP ) &))?C#nKтW>_ T0}ϖ^j bh)1Wy't{o1媋疳b8]k%`[¨1٘ʠqhbce8c:ZwSuB JKIo+Y_ @NuIJ=@U977m]%bz L][G/EnOSV0,039E/Dt@T*CL\j?迵P9ÕfW*O31qd>m-_4+>trаw8&Rm+zDžgfꑾ  P(/o`ߴR8YJ4,T|C`Sludoge2ftAd#l`/&.EMzL-w_׵fr?$k c;S3l\@߯I 1.q΀oӜlpV@](={Ũ@awa"2~+sa _ `)UWv`xbT~ebL͸*TeJWhlx4u49h r1L" LALM)%:!x@}[TN8MH )yvq=O=jتWXnZ!ة5w#iu36Az~ l]oY;;|,]3DGco)`u[iWV.3Z4AVO*eRvVkw]E'sDg_G7aԑ>C> c䉲n^+7lO=e8a҃A 2TtebG2: R/06ƌ2t b416gl)̝@9&vJ5cc94-=&/ƦkjugsGwS:ܚp'+HZ:AFp{Xvs.US}Kj=Y;*V"o~^Ogq[0^_VVO q>*ˁ0NXCPbci7 U8yz"GTT1@!*i֪)M型j0-ϦSL9uvGF/: 엜j)uQ\gQ?jfKbU.C;'J6_=f-rN8k"XП5eQQg(KښU[Ŧ`؜eF:ﲬݕF*Ρ)J.)E8vd' *d-ہk*lSxU?Hq wz"w͚wNqȍX%)2JxkbJYLlYXwj$o/S4cLfN:@؜-k.UJlv r|" k_3)X턱zЏFa2_}Gsm ݤY\fVkaP$v0l'p+Cܞp8>\+\q {K a߅ƣDҭƀL:* 4_ZtPmV­^:T˰,kA%J._0]aBO I-^|W)˿`.+[*Ȁ]E_5AX69YgJ< AS 3w3A[ֲ.Tg˒{x1JǕchU ʱ \w45C ));2J/.1 ekʿ>MHTPșlcfɒ_h*T#ΗexT(_ >KP4c~sScǞ(]g]"YFj)UAvU4CAݽDd7Wk9a[Zo逐q? od;ƅ3bq B-,T$<P[ =Sl4͙NCp&j3_8;l~K?tEv o6 ^̟#z:zC-&sUY<kr[W\fZJlOgy6(SXJxR"f X*J$>]*^Ks!caB*˃ N2S2%nWq+ O/,2ؿ p;U2i(zth "QcPъ?BGN꩜/ݢ=l~V [4(ИYiPϨ%9Y1^ W|Shc:;<ÝsH(?~YǎUqKf/@sµ >T\CVi\1 :<^u;:xfʱJK/ܹnvfy=i"y~ýp߇7El_V{4~?R,p2zms #cLwv?/n7C6AƷE6y|F&媵v-ۙKșēs^zh,-Uwߢ$gޣil{HGNj+Wsƿ_2&XV9{"ƕ`V2`p '5#XboSnUG; P߉ ~;.gVwjkF{|vμD yYܜپß鶁x=(PJ X4xb™q6o0n#yLM͓Vu;擽\#L>DjI"1OI/A2\ 隤cױ8GNxJ?7F4ZO ΀dF*h*T ƽS >sg)] +x +BmJyt{WykiSiD\0~WJ;A%wn PnQ7}"+ACsg.UWP?x:!Pc.vlk|MijvW/`Pdr7NU*f%~ *;p r jjoZUwqgF5 fTH@J#趜Gw"s_<ܫqD*}x1 ͅ*[:}̤"W7WXJ>@cwdpotpq{-]K(e(`7zW/C\ Ż-jDx4Ep!Ƶ-BBT5: bgPccB !&;ۘ KMGT5 DQnU~U4D&'x1sgrbOc/+&VjYV4̿qivoW Ji(Roi6f(RS\ H֠!; `lυihኻɹz]zMO4UEzOFU*Ҍ4Evo9sdѫ͌ jv)[ /#fۼ ݧx'C;YSh_g00HS]_s~ؐ. D''({JJ\d1Oa>k[kU6 6WjI ))PS)<.j 峆?s0u]YsMilBC|s yP''r/._S[~U˰jb3zĕyMᆴHMg ett&Y.NYYTtScm</<-AjmNZ?;IMLFD~v+ZXRnak6~ +ޚkGA.pg,o,yF~4[L5oCe)ÿMps(j3p/P hˎ%[:XҦ?;DWղ\J \华NnZMm_y$kA.u>׭ӯ x ]3 bKlRDyG1 eA?*̢a ;Ү.v,{|2Ui֋⧴(o nʆR\ª]} z&w[Cs jW vז"-q.. |(6sqoxiHcPI<a>|xVY"}V)]ί|WR )'D])sM0IPPF+߇c&uxjECW(nUtGl`hnkE`j:O6IǘL՘' ބ5P` R"Pq( WXr8?-VS^V*+We݃*"ż"A* M@Z:GqRҼdewV%ID2 xG?Vߣ29ϲ1on؟U Eɹ:-ױY=s}_SAeޭ⇡WEb~R T9_Åq"X޵9;s$[UYSkH,kqRϣ?Qq"d8m+Jc=EZx!q#L/e\~Gc6\ 1=ΌL<)cq=dQR*-&q5ebKdq4%* M!U6I&<ޝTqN*3O [=12aن8/A0y Bee#e;GrGnu=~ybg)w'!?KO2] X=Ox'uxX&4/Bߠ(5i\yAIFWM- h8 %Y瞒d~!r!/%8[Ӑ5ʚ <\@d뭁6]R%Zٶ~PuǙ^qUWpzܥ7DU1" O]L#zI̘hbKjrao֭8zI8ͻr?,PS'z* L…LS/kTMgΉ xdU "ت+%OӸj6#5%TvyD g5΋/*VԳƇnȮ °'R>:0(+NInWx_Ī&4q'dEg!BU;nɉ(<8Qh#_@Hbg>3}kkKq:g?%cOaH~OCjG׎[Bp]҆+33I o0g1y=p,8DfY L_(cqA+rW漬W&Ku|cL]nrp{\ݡ~ZX5MjBJCTw6VjLKs1@4{X[Fwe.;Z#w9&5r3w4ET@ǒU JX"FҸ(6rs9Ӆe3]%aB6+S;;5BZzRUoa*ƁoJ ,U2@M't(q]Л5+j>Adz}n Ȕ<0W[SeR 7]:t:3]vW%%;OBTʒMrn`{Lc@Try:ߜ0s*hCy7bOn~BNv[˕L{ETXLJ2r~G6bs)e|[ta&Pc=@//AjItϘ&T8S9UGéd47i5;0^xCPh 4+y],J2-ѣU7+ijpkZÝ 1cx0mϠ ɐM~` ':`d֖3 -)P,Q~]/J1KSrA*V.=ҳ< ۍeGFw[i,Dx_{ǭs\;.Ҭs_ 59XT&]1a4D(I'wwzK1f)e@ck1d=Y_U 7U ?WR|]r 7J +W>y97_9NЦ_`x؋/o !߷n|nS<`3Y$A`\Xa\Bdau}oy9mg0^եC #ܺÉ?mtHSV4Ag:T6Z9~zWn&,M#vVN?c_rf dq q9FϟPJSyq>ư&|ɛw M2\%$Q,rN3DCTĸE,N,c(&=7C:i6Z:s?3;ٰ``- ] C2ZP!snh"c@dšnMW!=U;FTȔ^@XùU j/*n ѹHYWKKvl1!Wo{GAAR PhauOv&X)^xM|ko~W&CUhe4Fa`rpa"}E&p^ 8շր$eY9ok|>%]zLץW9V0kܮ.ןa ;(_Bt1y'PvݸdO廐{δC i'\+ၳHi*T?MEAK4lp6C?sf m^~U{rc䮮`4&X1l&8%p +p;d['PbC %sj6}Nh]ͰcRg0kD*}Nd@^2ohP×\xk} 잿TFtjݦj&t0 V_[s*9*R;x]6q%UtbI\T:Q;V]ҵvj]!Qb\WrHr|zN#&'̻7nI%"sV5+@PtDյ [4$r9=0tƕZSp81&3Cq/=vy݅*/Sh},>if^PnlZh^W~ϪU"X uv>ۊ5l>κH1f9Mm->sZ04JጹPf?U<>,2 > ;Q0ĩRj l,>+WSɬh9y@ApK6ӐWcRf+nN ǡMяdˤѕ 8 f7ʄP %>šM`$%S9j  Q)4Jډfqɠzb,hxɞ7PW#E< t#QwN5CcG녎ԕ,)ЎQ1[20鎮ͬT~&w YL Ln qw|٧P+d۹=NFS3칐<G',M?Ac$7[sʛeN6Grmr9~iM_{K/'.頟M얻 G%g{aƟE?^m+^:fA,YCQmW<9?J%tr i=@8b\ AR<%a3C1ZI P26sXpf}f}qgxlugHqȅ(8AZ >8A  *  ^mr*?bHz-Z|f6SX`a|oaUi|f/~| 0xU+vw LVQɫ᜔!UrUds6|2Cmv߁9iqSٚnz\P9miSËgHq}pKGCp>N* .3[qQ')m- P +{!Z]VexعLDپc-H[ \>'5B͝Fi^&W%f e1$\*9V>QڹrId(ɾկKKFb.lx W1½Igb'cC`mÛ%-"ԪH+Rv'׬`zտ@Z s@WP\3Fj짠W{ X'.$õAK| ENΒ1eYw6(Y~_[}~W* DTҝ+eUbtSD=g/4K Rt*S-Xʒ  6 ETUjUYJvp^[%3lЏ4Hf%qÛ"R騸CC>Q%8۽`Jl")؆r:+]SW07E^Y/};lCV%7mL3k<*0sbqFKSxt:0/TSNZ DN`RV-VcmEQz´7?A{ɲ(Z)*ϓWfl[[O bLME YcHܙ?l\?N`T Sأ:cTiV͟`X#\ @쒺υ)s:)"LsE++z C1i sLBަ!iʟUʕWi[Z㛚`UۑK1]1iG]ʎ性@&˘xueN,G ՏuS%jݰeWA\a_F;qc^AB] M-e҅?j,!jz~̜8{V\0ފU8sqˉ.D`%bJ 95.#8<l˝mƋWCvuJ*\D_4\@o}a ixZi{zʄO%r:_(\vէ[R.PN (  ٵ0elĪ8Wp5O/[3F\?i)v/1=t:kmhN TwB\pBŸ҆P&;p9id(CP\R8^,toُmJϱa/) bq*;jmY^׻LG<5u{sVB]q\vr[yJOs_[%zmv'ˏFj>ܤlԾݘ<],WiW:/vحzNZ_2dqWr; ŖxZyPfa,[GK wMq='Li"h :#yp6Lsj4&̊7崤4?('.NBQ4L[SH4';HC`-!| A: XLTWSކ{_,Tg[gW[\/W`+?fסC*KLU+Ӗ~nI=r2ŋy'a O3DxHP] *X~Ur xTClT\_* c-3 ak=u t1t_G#iT?EjlZ<^F^K6WTsRkj䱏,,6ƪ35Lt<n6ξNאuFt4A }V|"˷>l*s)YRj )*%1* HgV*.{n26 gL1;~'A eVN̽a]=d, K8M掠!*zd.VaobZОzG!lػ%;+k2 Ml9|on؃uefO3:Yp`!d0vBGۼ;s26Q=D0 qUӃ W~5I !483wPRK2^ XܪU r"4 C[}Bf ,L{vg|/A\VQ3k5zeQ 8,wE= xvb, b*'x5 c:O܃p[wNKvӻ`K|Pct; dC!;u[r}.8 g *YϵSiW{av'p_YYAtsg\qHh %Ő6Tg "E]]K̚ 5&@CP@NQ}=e+pQwnȎh8/N&.jGn™/``Dge\`_8$ș,KSLLѺ-~/db7)v8?:[h3դ>zɅ0FF ujsDJŨfEI{Lۄӣ͸L|k lX2W}'ˬ{U K0ʏb5nـ Z78nS -iq ApV`Dߏs%ܝnD"woSa@ZBcEIxB v,q@+g6q3:*.[\?' ;ը%N5{SIwl.8ZMA) ZHA<-DVpHMqA—>il ztV>U+q =^y\xfx*Gtjwyq,Us J5=IX16d%U/ȊHj,w)uⶖ [dA`CYo%Z6Uo;npIFN| 8$-0#"M= c~bqtFk~=Fe&?)pYKvuo[!CqHk`<xÊm4587~-AZW0'rv>[1RqIMtRoF $)S_$rsTne*ω[|ʩLV}. [oMҗb%"zG[VJ|mΧRXmbl c {Y1 "dCR%9ُ!zqo9+;]7PӜ浝:h>奩>(?g4CX׶w+l7VU:bq&k~}&ZUrq;dCe8֞ҸGAk3/Gg?kE|JFС0FJsf(<3c'a1Ț%F'ŝct\oٯ3&/;"4ӗRj*pҢfK0Q'Px,IJ}8)MNM ؏|0yG{&jeh&d p hePa;A OdAϡ7 ?gcUV8?M]Bz* !#_ iWґ,n*ckLDe_iyl1Ε\-ց\yV<*.w >I"JTTQ ,NџWŐG2}CRNwLtfRz_9]y M*Om4軄A`uxk'-4z7 RhoXSV`p께TpuAGy,Dyr Pdou V2h"ɱT YfoVCgB ё ԯoڴQW\q`@KӠvJ4B(gC-+C헚E^ \uNRDEmdGˀW`(n*Fr=(09` E賟띟Vb()Ɛ*>J9b6Ie`J9q_ʁaxoL5F5W~\U4hX"*񨊀/ w ЕOb \ߝ9f\{02B%;.H[wM0<,- A0uYrpVSKlf1N)Nm"Z8t ѵc;¡rCT@O9k2g gycHc9yYަ+F2ѵR!xYBtN@)n |f=Ѝ9x=iqDh/;(J[V#jMc`i|kYl囻W /ЅH/r+$^W'JK!G#6ˊ)wЅZIsW Bou]g\^ nTq߿}@uo<ϸdE8iZ{{sW*&zUr2~h9MlV$ XŌ7h.,t8eҿA2|I:e~Ͱq:bީ?w( &`pAOQ0_"JXm.P0̸ R?i B:ү21y-:TȨ:ɾwx#0:E& +Ϧ>ioƧEkh^Fjgo/wlG Wb`j(z T._, .ldfr|<;Tu`g=v̬Bs@ ;?iNTĢ+(1*$33JZ;eYǤT!! ]~%5߷S'3[[ |x N/_<"QDD|@p6r[ilX#(mfAP˓@*4מڂKirJD" ɓ֠@őd@}ɷ-)*ꉀ=WdsPu,<w9T*ExZuE|eƙs[nn`a4N6`NN6O65 *T̂$}>f:c@;#ca•d9!,s0"V htI3'1/Ї1G47$bN);c2t?' #LS"i;S`=C|=s:C8<3<2c5yM0#D`h|F3ZBصd!z\ƴ;zX`o44 &4|=vqQa@htjW VG[eO}\r}J%OUTyvL˛#YR)uMq^Nd&0-Jl)K0Ꞙ }qgo|=_c29gAuyN^558 J 2x)6w@/أR c@)P8ny؝iZeWj==C4Sߕ*_^VAxknκ6IF`4(1;\U=x~q)L,[a_DQU:9!kEqiyЎeCcDpdUqoLxr} ur;#-o+OH21<ќ +`(rB/8fIrx^SrAWSؓ5c0e m/0Ql[LQpbadޥ,쭌y~ v_Z&m>8 g4E 8eũ_&pBiEtYaǜ+jSMA,}L^} F\GC7@Ycs3)U2_+VsPm-r+x*sЎSEdaZRxhe+0 kU ~?ⓡ"?ֹ5i%̼/ f^=m>B=7>u*rd?c7}:4"vJV[Qڷ|H v`@T(9PlT[Mugicd6dۋ|R*Ah \YW gpY'[]f:YƶpnCV]J#ԕ< p[Γ7SuJe yfD2y{WnC=1M^G0 4v媢Pzep3KJɔ_@`7Z38 hK,= Ԇ-}/>Foj6WX[_<{C+󁋲/nO}h]OkyP4?U(~Wilj1{%Lԟ2XX6"v,z |VN&cY9P%e*t&H&ӺyeΩ7F7et"O9s1$㥅8f;:$#P'a!16 }@ۃ@qHby 8et#6ASЧ ˚7Ȫ.vP` /sQ0CJ:ڐƩxjϷԮA᫖>L#PWwBMtvu @wK:krW;#-an+O ִ -Ǽ l̙CԝBC +ua}am< IR7Lo)08Йf̉FQH= +kioY;GIݕUn;ȲiJz ̆m[Pb[YaUL |K|ݧk&#ŌK^)'̆՚z @x$uVSĝAV< :yyCV˔ :)6<@6e.`-jS0˹t)?Π$qv9=wxvqJ\nO|yCx:ByN ȵ x@PaBtT].7R#k?H.ZŸ2tQϢl^T/2V^Df}SUm0J;QvvKkKW!^XiWb=|qWu(3 "dqSn-HAl_*B/R,Gy% k! exJS/+HmWФ꛱pTa؞>|5u e?}r8x+RAޢVm`{k,s٦gc[Sw 9o v4XxsE` d_y+Z/sj.0X?YYm.Pɳ^A檂Wز(qC b?j QijGY^@:MP#x-8eK1+}! jA:f؃ >ݓp5ZAHc480hD;+-`<+Vs=H]yD1fQ֯C_:v"4n8JUzhG@Z(U}#8qȎ*hU?q=qOhd̾(sCqvZz:&s*} ^g/5u2uVg`tHt\3۽Faw/& wK&;ܫ+R?#5[nЯh ],AZN|Ez,'D1 ix&]΢ ھ S1@4Ji 4;PITcl8px qf,WL&ozvYl 7鞴֦{vպ|%Q z"NAXEY\-*l }<Ѳ:կg>+)R)J6% pA0aP`h1,Ӂ`eQ/Ø}~>)n?gt8pVtlLW0eZy'CkcE"`w;۱%N|Ɔ#Olrx=ILK?b-ļ~g~~MiߓMaY-r}F]wLEнc^r3?f͛xA3.6nFjظƎ Ƌ01c-7se=a64KJv%;OU* Md8 ]F1{9CWQ&괥2;ESL!V}`-֙ʿ> 'fQ>*ۏgVQ5-8?`d GYo0:џoo P_ z@x,Kҳ߲* _9vJ8'֭5x Hv+YdnK =gnGݎgT 0nu/iEI)-;v)G+(m`!\YیRxV֟u|{yrк{QBevLAY1W#ދku>rjSbd_0Ao/u3[h d`q9ε0+.TæeD% AV\dv_=_C: fW Uium*_]ն^5Úp 55iֲ tS~+^1W;+'':&5*zz KoWM-v PĿ*(~:Q#|mnYg,%4G9tꭎs{<^¶b$!dh8 :b$s*׼Q_f m B;.0`E0 Rw^e d-(|S瀻1Z8{Gs,ȅT_GiРʵ_)krc4~3MUP17W3Djz85P<^EkYR^O*p,S )YNk^ԚǕnܙK R~Fqfae9p3Qcaќ5|c.|熪D(Ӯf9Sw?lr2k ϻ}T:Md-Zv7~Àq}8xyX[pm_ZQjM(QJ:rτz(?++.o(@1^  ]'a=8Ѡs Caghm7k_)5 ^;@HxC㘱 O$G2`椙jQy WSe. :/}*;nl&7K:Y5lo8,)˒ZIh:_ų }۱3)5x0 7ݲftXnUv)~Pj6խ5+Jv(sǙnuiq-ԋWyTJ7HeZ=Wv%Cgskk\T/^Wjtd:Us8\BAkz 3]uFw&O]-uL>s*1# s`Ӯp%V 48˟!{ٵD5j_ue?{}W?~-߿ˆQaqNa0\E֝Bgx )5r7> Erh=q$ /CJM2%-}Hõ9=7s7C4w}u&a@~5> Ix.8` @|-\ C[È=%t1rDtWOGJ{taqz'(Sޠ88oE\_?:Ntҥ2}\jU^Ql`gޅiy賬glMR_)nN;e<{5x:8S=i[Σbr"1v?yy[kѤ^s\FTlJ8]Y tʦ7֎jMGмWzdRs𖚐 ӍN͎!% .*29vͩAE#:#5E 7|@mPATm&K#&"mՅ,dX~2`KOC2g=DڿXOp oS>t3 OxxC u,06}} qsj֬brK\ R}wAcQ(>޵Q[anK7t.gW̬<տ\'>;f_q BKu"J̥ݎ|Xd Po ʯ$ESPSVphx X^0}-c5ozRs K~O 2{ڗEңϯջ֙i}[a_Mt3곷aY;+Ҹ5@Qw2>90RAmVԎW򵇜oj2b >8pv @G v_l9+VcA>K'GgJ-|JئXB(հ„ 2dsѺi4|\1bjdj$D0Uzy<Ԯ!؎t*4gbnσ3T k̥ŷ: H^?h1] Wpa0VZ@X.p[%c1KPq ]+򺾕D[s4uI!zVlc-@ƌmg4&Rjm,wa t1&^%=[xü։0OS6#-GS鹶'i<ֵ8*9\_WWk_߾rmr80^?tyVIkeJvT/2\} )TSYXPޕM9wap` 8_\|VSą~#5-P Qn3Uh˾7J#s|_7-*~Bx@ Z]Y\0f3F/X>&OF߈f$9 r1ϛy8sau[V]w|zH&Er,.z@~O,IK.4N͑>kɡZ# ҟ{) BM`茲L؋,f$SJ'0O}☡NkGn|YW^fhRNc-uAK+h+FEsXse9'4dL|BIWsA:_ h7 zE}Gw':Pz7,tU땼'<ѻbi@8j^,9X(+1bf8\b/&^m1YիD,ʱ k$pc< gRဧ|V 5X_@qw#=-S*x0OM$j0V&z%n9Aq1X' RP:.~tIHC`B#;Tbv>O d7xЎǿpOJ|oWa}#mqͬWގS[XkHNfbZ][`m4W)k[d䶣26hW[i_?>k];m*-ڒad.чS[#vI"aI-tø_MܔnNw#*7FS 2bCl-:@c ["A !-&|ɘ"w+f Q=C9%y6$3$25_3/G$ohhGtbn6m*\ifʥU*$@F |rpMl0Sp T Zby˚q%Ӹ5=$LSnx j{u;"~TMRZf u,6_'>/ 8C 9v'.@ץSH*A 8S*%R9`P`ߣ'wN Aʮ-%T"g)uֿ'J[҆ӫ{whpۍ.޸yqT5c%~Na%U# ,*9ΏO>cܷ˞:G]em,/TLCOP-'ú+k ph[-^d+Z,ec2B>V3P1k\l; -;i42ː\4FyS3jf1X9& GiɶSݷUByFTk%WwU-2%`eӞ:_RSc!티9@Hy*:Ŕ&ԅ0sIXw>Y5kmUnjb6 $a x5\TR=>DWU E0yUSyψZ0 Xf{)6r@~Aex/Q%aD}qהҿ@J1rOb:wizmV*Q`7CRn[>񫍱YH8@jM4n\yjԟTViE 0Pۂ\gz{DJ00CaZtVDEB7Y`>jn h hf_~MAb!sG"CwJ^|]> μ ߙ7WTt:me`SVy_Ƌ++Ee5-N_=c&rޕZYZ*~t.!E"۝yz~يdv_=VBSvP,^x~ށ aE.j3v#f:r|UL*gTXA"Ve$˲(|jf>z/)JMr"蓪vI4TPos2ʝnJm}ۼPrj!YU 3'7YqPYpQ rvz5;֬eC[n9i`QŻo5}Β_3Cyk},Oc؞r]sX~q0@ISAt;r7Œruα~:.mvNd+,.6E8 "2M0 ~Fr;5C[;3J2pg0hEOMX 8!fPh SjG\)Py]b*m) +lSN?.>l#)Cs ?Ξ'G [yu#!DfנYq`"HeX_D -5?dI9>4@Wf/Sׇg 5м쒂ag噠8j7]+cVc:nd?T1V=)`kYU--$7C cWcpns9#snia_BZ>.F Q GNiSŵh~<vuLX*V[Lh^]hCUT~UT2'-V.ОW, *ݱ422Qi-Tl3K.h_ c;,*w',==5o0;_hNbjB'!+7bE@mqw8W"!&,j5q` &=:CgLNJ x̍f,J3~7Nb20X3t-+=L%1{ ts]hxw0afO<dqu}Z_L 1NJut{X_4**^oSn>~øk~ "p]vyޘOv`'+xL6Xm{cUCgʹLma7īܳ&?YE"TX-~lx@6h dVz-}&#V3iАX*e]_\owWP=&zMop%_?Fu;`+D/؝ ^hbN_KN:㗦j*L#3B$ʨ| #_w:|S6)XlN}/惖N(q"W>Xܴװ{fT]&K,ߐUt>oH(*IC˹jHSR׳Pu:ɛP١vQ1|=H1b#7V0B;ؗuV%H:%e gzQ١+AP&bie' zh&'f#(5y nAn ]UlVDb>y|Y2\k@U:klNz%h(9h7)X#uIe5U\nB:mR)W9I9Q[d=׼)#/yQ x">1_.WpXN*J?@ aYNYr̙2܂Ekʽ`=YHm]Ki?a@ޕuX"`\sy+H[87'uc˅Kyӝ{> Bv _oS"+RN\;sWvD3Hen E+_>FkOAO,ðj'?whMrJeݱU:n<=_7BI@?C1\On}uel7rx>X`7’K:eL%Ma~7Fԡ?d|HR<j9CjFoA4hâqyy;p6(tfNv0lnd t3vgu ENh= PpB( nqt9>oRv6c7(v0#OaN)N(S`PF/_N%p>+̍ 8'#ϝS9"ktԙI0되3/( W?豒JDg*Tn5(ѼhPD9k!s76/p2>VQT -u7,sRjTco+km-r]$E7E~]_lAv3c|Yp:=oNxS* Ph+Bñ#l{ tB⚠07PD7|R^Lfi5ohP{,U}o"@ v Mc8Oa55sRgou mmXHي3[,kya&[<%rtXy oז4o;﵉Zy@efu.t&lI:37 (#O3eSp;%ȟc#T&2/K%ji4UVR|: c $>pφ.Z7'9z`L 򕄑sEM-YEk>JEl`WbjrMoWN5 lX" Y;1GpD_)4Ɲ_}֐4珐S[i(ٌTMSU?$Uo:B5T ȕ1=uRhgGf<l%ʾ*،5)Q 0N^$>%Zt`?W 5mJrH5-p<,.^4_.-]{ }CܷAz9v%]`~״]h<jN8*W;F15+l.s;剆Ys |*@]vdC8xiA硖֔UvuBqč`WLqAL􅿈,UάS9<=?V|2Nk2gY椊Pc^4OJCԲDP)ւTnr}2\aESD0ZRMge<wsTtve$Q OzNr-_V;9 NSih1gqi+fV!X:d7ę'f IWF8 9iԕKc{¯9"!i_z gDW>My.`Ky|We ? U(GU'Q-KVٿWn(C\h4%Gmzs]k;QT_j<=}z}#=~uyk6r}pde13FA|8 ̓ı6B E9'ZNY}Li1el}y&Jpt\dAc/v{\aM\0)B XK-A 3_STF7g\hJPB)P[)u1L&rw- c{o 88o!ρW)Pvq@%eR@faO3˷v,:'scOj;@ uIi()FhHݴ:Ұ^C@.R%T8{h'7 G<njQYhl`0,o\RWxh&zwZ/H4b/i?,6dPrf5' nO?K*^daA5C>:6<ԇof: l :?v~ ͗^.G;J6SH uIug*㊪h%n/#)$;kEr]wF??>W΀Ջ\>DhiX v>0jl;#|R-Ts)yNNf|πնJ@9w'n.Εشa(aEcg٫U\e7Е2TMivftZmApٛv!/+[~VnʂJe]0L>TҜub~:[P`vrr#l殙^6Xr&} ` fy..bx3 IS ݋Ҏ0{̅o9me+ޮʤM>Gn2X&E觃Fxf$KdruHr^ KFzۭ{ڛeo$!jnZv1^'\ײ}:afAQUcvVcż`Wb0Idj <أ[V3.^j/n3޻I<Ze!`yS ;{BAdE5㼿|x%^Қse\H0{Ds\0,_:o?mU\'Rg\c6 ,:fBǮLQn7'V ?Vu2$Ԇki8Dh!_:ԠoOflZqGO{a}Xxv1qG% EM|9 l2<+c'8D;ͲsW?Ķɣ}3W:/#X`zs8|ۄ[zȩ_Ǘ=UH X:S =6M!{~ 4#La:|2h1;2NsXdCiq!\dVey_ 1 ƥ}nQ`o ZU LbiqlW>؁?7"ru'[C6. WV@ vUlئt({*L;c,.ڨ6ɰ/ЅG[:TT٦-@Jkl3z@)jԇ' b]t}7Ex >j;E_p?\Bæy&vo;ZW$T*?ޕki3[Td ߴ*HkSW9 Ż ,W_[gdCj円w_2lk4.ȋyߊQɖP!pmXAQʬ-1ڀ_R\dQx5볁q E_6~ SL;- &%:4`$BޞfD B~:ݵѰY-̇Xz^ǿ+m^'B["h V{[<ǫ &| CEUhLՓZT0~D[Ǒbe /QBuNuk傄:})' 9ыA!l c/vXpn҉k6 b(-܋Pn+'/SˀkʼnHJ*`\9V?{Qo͋d5UWufnJ f)*nNAkWI׭mى\]N٫Qx\A} 'Ȉz'# PF4Z_ w.UIF8;Gr[Y2<,g]X<*z;L}١pyo# #G4f-. kBR[*޵Bqy1-ϩɔ\lS]<bz4IrGLGZi法Nxĩu)s*S4UQUq;^AE Ǽm;et~Shi Lzt3<Օm2fc:ZW)jI?ʸ1kz^b~s~"4Nb}QUʨܖc=3aL)Fs "nN!Dg Qb1d\֙M${c\|;3O;;/f&Dt |I60߄\  fpx>(9a2 _=_x/^7(P⏖vBdI|I iֈrqQ[P)ffLDm{ J>YSqr )6'kC+Ƕń6x`fVR<_0^BG"Vi EdRɔHb`YYӭgPSwp3^ .yUkє.Ez<,a`-CQ"Q)Ortr :=ljk_ss#vxV6/fI)BnWvܼaB-x|gM= q6Kj^ :ǶqM<,[ݢT}pj1&0 !N2UYU^H]fU~'1-l' bjnr24:EGb˨35T4 pK XMtUnΥF73ABugꧣ5ϰA" +n+E@-PSq7s9LF+vX{ܖpQBaNq%0buט|`ED&f؟ĕisZS:hvc%yr^qJ`|⷟%P ('ޯS6zp+S Z8 5I|0q :')V¨PP{UCP>:X`Sna,Ӂ"]/VXiM}мN7{D,Ϛ}:> Шњ<,̠s1w1bXĐGjZĻq\*a*pV0 I8[|~4Wt_t\.Yfahe̫t=q1R8Db܏VufN xf.|GqE ʦrI zIؽ=S$Ĩk3kOΦ! VfUWزҦ괖|Su6#K0/S; WI*>}"ȼU0 eݯa e p/fQQf"h3ձ{oibʕ"MJdQh觳ϕ.?RKҞ̗9{j?``U~W :5hTc; \)?U??jgxNk ;m n>~U9?P`=YBBT6:ᭇ'\s:}~[^t""ʬU-EaGMı~zwCJXFϥzK=clc|l-U,Յ/asyJ}vqhz{q^hE f`,?a7d2C(T,>6И7`_ivT8V>*nJ][Ь=tBJB~1)_+BMRvY+&\V 7O} {ꇍ)u5O:{nivO $z?c 6 _P(WF:fYsEivn&:Y0 풋a{MAnX&ܳbvmF+/5#q-y*fdCV45ZxF4zᨽyBjCduIb[ :ڝ=>5is_i}lW>*'P=j^7x׋Y0Ax~GCt@48IXN!LyB~RWz|*Xő;ªbVE0'ܣj>2pgS|2#5+_ݛ+]YBR&*(,7L lR'K0A|Uˮ1bFuy1p7UuAj/ ь+=!h.>f21pE1g\?,NB`TN8!7 M@A vX؛hYi 6bZƹO~#ݔ SLT_\'FQ k!FSɨbP]\./3#%ҽxmp@.Z| xZ޿ X+&4'^01B`|яZrV(^&} oR~vg V5EkAz;Eo+w,ťc Ue xI~G .IYa<7)pnWuR0+[-R)¢=ͧ\" sG38q{Kd۰/qQ:G5خ wjQTp3uw/[|1)O'v.N5i-YJ+H0SmMu6kg+Ѥ3k\4Qgh@*xYwe/z&tJ(EOv{Y (lmJ}P5'sS@1^p #Q_ZՒHqUU cʽA6WԪD$JKUS$}|`NzN^XC>Fxc@Rhop=I3 *_j[ڈ %ҧX,A^Y1w!QVG,#n+yu)B"t&?)mLh NdO4,d󍌺;cP5783L*En lUJ>ԩҵ|[b`<.{̇{VWʏO~% =HLϭ0TV]PaZ4IL1+ N < Fv^fly}BUsPA(zm5y`S|K[ƭHF?UTNܳH#ZQfA6!rJ4]1LifTw"{`FuMwvx9TE+Ƞcjhz`(Qp `Ϯ"'qW%\*BA4z!x-V< S64A6e <Wm|)L; 6 c*1a)YۗPy}rre<ynO8:849fƖلoR\%lA)>-irG'gC⮀AB ?|IY $=88F#(P k`ý<6< ˎ|^y4V3Wo}^ o@7Cz)ay3ւԶя!eVI[.\f{<w ?Xh>[詸UC7t//CO!r1x) 8} 0Xql8GVcv ċ42j>UW+ gp{!V_>ab{q] OZͅSI4^etTsǬtdu˘|6ߪ;kV;cM/H+P̤ca4 eCdcMu8Bb,$Bi RFȷTɣH|tމ9T;*$8H֏Fa=kH/5#ᵲɜRat첈pBæ[7_x??Si _èR7~>{/lVq?H d^SBYED4ݩUp4QnU1V `N$ʔkv?3X³6qU Ϛ5D)/1i:`B2/Yw˫+gv* .c׎e֩z@ɿ'B^Ϩf=i; 2_p!rZ~a,B93 ;{~qx_ΤF#a8IaFm楆By-TcyU0 F)qu-?C2IE mU d͢ɅTe/)P nQB䍆XW5NE::[9Y˄la-]?ۯ>gƃpI9G> e+MJL/?| ˾cNCrſbAFd{"|g~gv:r7)߇hn) ~`*- 6 M̅k9D GmV~:_t:$̮N<m-8fo.@U1, J^A?*T%G,0{h}Zo:_+:PW!HЬ "U 5)L;4IrQgm驪u4WNKoITUEDAԉ1L^59Tj6P-Jh3%JjsTϘ$/v0*C ՄN\RIЪ>xMcSЇ GTⷱ" Y{>8wa8{FV\.3(guZp {c"焯uzFQ=ie.MA-gϊz!pRuƽHP噤4>N--ʢ$ԕtmh+1o,g\A]I-Y?-FT̜=h,ֿQeDDܮR((9V) AL2<*V-%~ûd,"ƀ-+lCj(AZ4 3cՏy-N$GoJPWq/D{O=̔}l?q-ݝ!$+I48?;> 82Jd|3 Vկ *׎ɛ+m\$ɧj2eft.(wLY^[BhhGyO)CϹ)L?fl9ڽTׂ/Upa+]uclofNb߅8~b4T<'Ÿ h;=E{v{b#c_~ȴq DC`X`D] Y*NҢKMBp=H4o" ^S`9,{zKʊ Cp$@Wa7hUsXX܅7PyH73̕}H9=Jb5=Aa[(N:| ޅ)3R53Fezk;Tt7V5V W7*VYήFJ)%6Cb)H^*CI]!i;g&=ĸP<" Xl6h̋I C@@rqk!ᮡ-:t؄pMgM/$B_ <Ii@ 0,SQH (U&_ldtF{o򡣠~|5M(V\;~neJNl%3h Cj4N Ϫ3ȖH=yAQM# W'⻚ZT<ٸk Ӧsh䨢K{9\N8srhîfbÊZkmU#zF=BGbՕj6A>f*l1z\i LAo7TI:P.鯿DVv]v.)p6yp%:d Y?  Ɂx.i m{zҨb'g> jhzhsz +)`_E&*{Ro ߕvJs L8*>czN-8˦ pz0-IS&4 O`5S5' ,>Iwu; vK*aj*BAP&q)?haA9vS׳M- U. MLs3;ҫ$6zIT#m |(va꓁qEZΕڪk07X5pBC|4 p.=ܸ-?0VO5הpɞZػb0/zOHϝjLAN%EQ0Hcڹڨ|x`lo&Uk zʱֺ}IH}8۞.ek8 -![$9)<_Q?H6|4X :FtRiK#H<'x5<LHAa|m51Ttyf+[&7D|N6E' k%&+؏*M6k]XViQ]w'P>KTl]1Ju㶦mQ Rgljt>%-glw0fBuR֠-3S9tw-Z_Lՙ㸺Ⱦ_\xlKPeA~9vUIw4Apz<餾Q9lBzz]|z{\~Ƽ| Q/d3i J}YWFeS9zxTqǴy,};F BaA;bL8@>~@醈< I^'"SUM*UVuE"h:oZaAs;py_}dB?7yd}0,#lzµ09S&Wf@gWLVP'^-'y}&mX;#8)==dsj/.F,0scrbɨá!<{~ԟ̷v_7"*8V`Q~KLW\A }"K Ot.<MIUB{RڊEU]~ϥ0,AdӋx4_8aNydiOڳTsg׋i"_֟"õ[ 0%a50n^%\\FS2V/1;d]8ۘ8" Sh 0B'A<yLK(Z&wSb Kĝ :QSxϹ6 'q&;KjPh+O2^vWfcUH2ZJE01u]L!̸ANX9(ۯ/wpM, YaWeGž Sp'gAZp"nE 3Pg箭H_V#ܘ:]~r>RjjY_ٌ8UeWl5FaEZZ[MPX[mA򩒲gE_k&PVSzɮج%[bNJZ1(#:kwчʳl({gP6b(i^_SM DbEޔqk ~4eHhh`כu4]LYZظ2sS\., *Ea5c۫'U=Z} XHn&oaV(i,K{,Z3ׁ>"yeYӏVkNϠ(̒è{7grA]ޏ1;*GX`ٿ{s&KRh[dž9fv$2-Ud{(Sxħ6[bX2+&G N,**:_}ۥKZHԆ"VHSaF)_?&nj3Q gp$ǂC7B)`Kpb6y| ),hZv|p\ʪ:h7 .с8oyqC\\"߾GuKr˾HLS+{6ZYXW`N{7?siiI@ ܢ?T,|&~cBeWl全6Rk~Nb ϫnmo7~^ue^ֱ8.w|Bz9"^`BQ!gM)TݓTD%cAכ"(ٖQF)F,#@lA5#;$JRsӘT'U0:$Id多V$|LM#~S6P XbK6 aAXRDǙ hڑ)vv$,'z .#}m97T!.y*8]yPmJB3^kzUKU kZz0$hp m@5eAhT{ޓЙ>אQW7"ps4,9=3?r AIJT?CU<)MJL8.oĵ^B"8*x}QYE~ܕ;:6S.:O;|{ x3 7Um B&L@ˆXrי_DK{xk~VB.7_f oE|C޶V tpPkM"vW1Jwq;՟Qa7#}NƔ|y;(A5z{71VSk&A:_0^e%FB2I N-l T}Ҧ?M#}ivӧO6E(־pd][y5Mq7E99x#c?/_NmU*.X:N,}adPDK) Y/[6Ԓ:"šT:f<#[7 ᬵ^;6UɓĬsםJXEsf^EZtF g^x_8h{ ~;vvg:W1O\Q!㗙XX SI[W*3&'Gvm=܂fh fʇtUG>}o{ӝ#QsLosu5yLa'4m P`+Z[u0k,p!^ddZhdVaچP]4d4/=kZY`f&W*z+vEv)d"֊8}& m 5+AzX@-T‚Jm(L^UKWxhHNշ|$0Rm{ʐЩQԾ@k]i߰y=>G}BN٬i2Wqp < K&ȿ#X]|D/޼뜷|<%k`$C\Gܞoe\FL;@ uqW= 8񄐪(N@ >bSO͖t٭Q׌xxqr ]||,yz1B *&X-g<-Q=/A(g%~npiڦ,tpĝ#4iiؽ1yќh/_l`jSօ*g}.s[ =,/W_Rԭ>J2Kt&l:֘!$lY._]Јe0_0”cw G#-A}H`7z $'|%dIie}M}j;9BcBK_Z~yqZxYkIj94VVn嚝dPNqs(yҫg)žp|J+xܣզT=*ucYSH>7';e mP\5a!!N5\}`~SnCcwα8dQ}>4掆Tbxƍdi!L# `<s,& N PXάM;"=@BpJdC,Ae(E<8 VJbRfRPtMWmaC@xI4-* 捨Z%r'M0$3rO}ВI}C<ԹP;ilU}RjfC(VAAia0w~ ?wR69c oG'Ϥ̜bPJb\ݒz`:"Y#nl% =tWvΝ~QחJ{ 0nPmpD!GyJ6Zp>M7h(wNJ?Q[pOXB~T;58 7| u5AUԅV5v2ŭKSGE嶿TZCqȧAx4QaaEjc!mUXoM2)c#x*eQj{$F-[_wϫ>`HZ;w[dž{? L)KL^t¢ŕEB,Oyǰz.'@QLN}/UQ-m <9g LUs_!uAW 37f7ϯVal+aăYZs{uJ"%XJ|ӮŅa’ud`cYo]X^ֵӺϰ֮U,?h(Y#\MUs܂Rn͐^3D_qjrTi5]3~{|,h>X[1˫~N1HP#}PqCD>rI>p檹Oug:Xp#jK(wֿvZ4jf^ϫdeu ~@2a ƀ/#'`/\o?E=QJ, m_bEO JLF5t?b8HxL Z~MN`萻_j>}1S^=J= R7\|?FIrthWT┕Bµ%1 ؇\'!i͚_nyPhO:Y\ G ڙ2%1~smMj >g寝gCWo:tStP9ɸ^P++شͿ`oҞ(ɷ<% ,=u{ Sst7cEXnFu=CF V+B.0i2Dbv0'Zp?CD֖ssn -|ˊ5V׎ 'j:?iI4r}Wj81U J.e8p !&-y]5N%d<2;#YPƮZQ1bq;JIl G0y&vF -B¸rvrw>p<SUȥFڭ*Ѩ[gԨΚ8 E+<~`M~ ,#`CCJ\8LZy#SUWK{߳ɨӓf'ɦ"N3l}Fr.M]2[bӪ ^m5r vt' yu%cņN˙Ņ̥{4s5ۡe4 5YM.{RT6,K2i'`Z&EƧjw-ONU19+Pז'#Xv8ztmߢ$70NaUeD@JqFDhX]HPSѪ=2Xr24r YrYCLJ ]ڃ4oQPZJ2ÖBQ{hxSuWPҙĜ[W/<9M0U|7=`E7 MR.LNy>P䌍OV$31lWa"E?b;165vDnMfى2" 0YMmE?zUCfXIXЖ,97̖07߫Qӆ 篻(ef$@VE/ d}id.Ydp\ Ċ b'I&H'|@*%f &PJtP5g0j̮vNJ]C3-~Uq274`JӖͫw`ELD[v../.;x8 Ve7ܚl;e,\ǿ]6X#}6IE&.x}2SQGAJb ʄGf.wUT 'pT|MȬ';eY@\ 65's|SQGb+ RM"rbyTM{ar4UTU ?omjDU;cN<ȅzhos}j TXE# ~pk{R*V P P5HsWᕨ XhΠ/G.uJua8ݿ =)lnwGäFi 3rlRrEnw<@Ϗ yQQ e9Y/bU&q¢@VwnĪb!9LK,*S "0ܫ^e9fxZ |p7EބilMPŜ- vq^KSJ,f34$mP,?`&TPαXkAu)[\jzbA31<,=_՞-0%ѾYXog< Qk*Gi,G |LQ['SY(P8  tY6AaM+pb#S6X̘b¶a )9 ҅CR0\:/ (+߿9c`X簴/_WV wKQ5^v~jDQt[xӝz /S=L9ɰ(I;rx;6~9sL;>ce=>3+7@`CmA:6CˆmƤKu`esbȒzAd'r7NǍ yqXLhpˁ-"H5K#bZe )yX&(ZssPx *U \Z"jrriYFt/CpӖe+KܦK˥5+W4`H4dpyQnwQ;U6mܩCs7VBz KGCT).?;!yS[u6{; mbڕMVĜ" kF;vG6\1XbE r5 зFXW&J 7%lj!WimE5J>Y! Gto`T`~AgoR%&'[j-%/]c*F |SYk}gdfkLO(R9z-q冊Nf$ ǜg`#Z+i.G"%ŐwuTzep [udlk6#[g,pbWUBKR)Lf{SkhnsU1&88SYf#eևwTR#g0, 4e}VdsVgS0tIB_ڢc,+Ta *WB0].ZF9i^JY} n"'SD[wبu[4/|%KFZvlZTi݋F6 0o]vVό\Ý^mʵ!*_5fda1 YTp6{Xe!qEc h LBl,܅D*&SؗQ33 ໭>GRJLD& 400C4Ig]vfg/=GѤZ@$qQ{V,7k„߷o*XUTr).m g .A1vJz+JGXp|-ޤVs07 Lpy;D^Wx0 $AgsAͥ1'w;:\<{Va!eebU<ل @^Eǵɺa Ŧ?.Z9`l<)Je^3?}԰۶3Af.< Ef%ʼnyY$"sr.>ƹoF3J/h3勼>N8f̀pd-ƟkV 0+%sDqaAm]#q-\쁋{)>33Hɥ3Kvp.ڵ6}28DNuR-Smђ}D G[Νw/5%q}=n({MNg& {YL|L T͂gQVcmuTZJ-kg!"5uN;ŗ;rؾ(vx<4bBu.9CNE"<RxM)t=%4'`ݜuJfq"Q-X6|StQ,( c5Ã7g0eɎ0μ۝sP2{I9a q 낳8YX8$"~^X/I è\'M ͭiF¬;E^ңjn;BMu=R֏)1h%q{WMF\%:!ztBC{W 5Ӫv{}M & v*S_fщㄪ«RUTsT߷%߃fk"^wJ].9pN"E4Qiwc %}*twrծD.9'4SoTm.1ZsS*t*G<` ( Aw~~~Sia}|ʱ5L07QM5OPj`3f3I4+[6Ws1Ahpح1\j$Icz<;q~9XP'x9qQa[?鄋^Dtn״ZO6JrnO^ؽE3Ao+We9q:}hfRmgm¼wSOG9gycu<qq6Ox  Y2f %#Z}H:uY ZG~^35%5J!յ?`T|vhI2[brmSǻ])vs54V@PLZ4UݍHӌ6_WÕAĐa5&C3&<Py[VQ B.'Uܒ=~KJD/~uq!;eHyɨ#®MT7s>QҵY Fch>C[MBsz;/ Ɔ6x!6?Q8-WM lt,|"QY´d a QIV%m;@1\NCU|e-T=g>tq0N_4$#0k7jpGض2dmx3z'DolqDi*d= Oj6a^l\<'cPw36Om\v҂YYVo)E B)6v3/.2(7sjeNΖ O"-njtp9p 'NL><:~(?}PV<>΁E:mh$0ӗ!tnW;j`Q@Ir[+*PE |jJ,挨IڨV`lR7K;!t^1ǖB֣((>l8Kc@Ym5sSgH6$,Ӿ LbUmi)yϜ{^U>!ZYRQթ\n2,IO&\  dCPHȌ`g{9]SB}[RK&d7q~ŵQsuZ͛پs#pn-*YY/1<'~o`g9svowHZg]BoV۰^z,UAkt\U5Tתp"A[v?"g2Љȍ>Fs^lb\S$]c>[璋IG6їQ\Mmv^I먺)Q7Nw_&WT=/11!A9fWsf8\-SqHxȲw.TcSd14hW5dy<R=2x*1Gd3UMba4iL=-d x,8XwA !3w ,!q*;ো\F| -~Uzb}`Evɵpŏ i8\z,#+ 'V3]jѳ?!ytIߋFUiª;禒9?ٚJ6?67R&5IXSν+ A?JՃdR; 2խ{sB?W`Vz؅*yY>-F 6BߒuQz~Y{%gQ:2/H=)jD+'G}öիUcA/U,(RGUuPFP)^-#1n;*o谴'x9 g[5iW˾.խ5B\^`,kxCsk 8Td&f8I{2rf]Ԧ4cQ!gI?4!aPXHveB  4Q5,0,AѓH(Q1ʌ +읹aakgBمD{& j6~Cbp]dBɩsm>TTͰJ054t|oґRs Ǿ+2dT>|x)?&VKh'1FdsqRʳ)li8V=ރ]>/gPbrxi.j3N`[H& "1"[0ğDr1EJnBui:ȗd_|a DFʬ"ZWrYx:nio%)XC ۫aBǨ[-I6m2PМTUFJCx26Uk %qv9*Mé,9qąkcAo,=p!MIwԫJ,K'H[-&w' ւ-9e#d^K}W; ۢ1qǩWLr#@VjT6 N]*Q'L#>0(j5i)M9hL9N@I 1DMPL&vXzJ㣫ك 'Jޠ PJ$xfnd&2* ۟Ai;ba0l  MՍ3 % `m1+Oe-yK@O)6fsԣ5N.:sqO^09ݶ/I 3jYS?bB>fHRoni= N.ɞL|-rWsQ? =4)oj#?iZƘuճRCP3'S_oY&9e+zJ eyZDZ"Q䨽h}ȗ{-k+ݞ:ʣ'uIx{~n}Hn w+$bh'!%K!h/Es.ؽV`O4#A:-lX/7ط`Yr2N<;C3F;3on hFwgcNdCPуk<`,s q"M-Х|r*68}:g{r*B1IŋuaQ}W#ޟT'܃"Q?*}bD3챃(vɧfq!* 8.Op0Z2 Ʀ\[P`O²E`EE7ҟ-(vPqQXUv8aL#AJ@'$5z;En㵗]-P3.CD İ)9yf O -Rz $rw2⭯r8BM*'mRd!uc3hJ@ǚ{vXhR3qR&CBr; ^@֕-arabdc;(X3K:Wepd:n (-;hsqq}(UhGu՜y"QŻX̖U!R sg߄ % LKzAXE o_ N"QQ`";H&M rkșϘp [X,5f*F9Y`lcw f^5UESy0"gj񘭯TR yAb@ECTqޝcs ? hw0 ?Ҙd_ϔQuj_~ZYyWTz}d oد/2h;,3c"Ь3͚8Xr_wLկpTRC̑󻃢q>?֟8wgz308Ъ8t'=7V'_PBv;HVk +ơ w)|FepߩڼpO :), 5e<}Pb֤Y!r KNdWDa|f 8kGF (HU!cth-Z1% +b>jHԵTBvw+++sePM1\|/&cEI8rx^8w~WfG7!*N`F @k2L[S<ԮM+;5+.,<4V`WR]v4k";!cn$2TX]J4V8I&1|Ĭ:6+38=oVtI㭞8ۇCtly;Nq5(,1hq\Lt n^ܕ%)[C \i(}X] jԍdj\]\Ǣ 3ϖtN7= L$H c64|T*4Kl~X66@`3بHNTmz`e6n XzQc[w=#<*ھãɺzWnt>Wj\?:5M vЌl:izh3g$ioI4Sk#f:l )i-ljJ)lƒOMS>q8v ipO3g QŜÚf>Ox^Kra72@#av3Fm^ihs'lFzFa |ԍ͕2IEOzh蟔%"g,p'6<k pk} ݱtN.!) fx ³:Jd+^nIF< &bN~(8Uqb7'ҔTl{/ x>u 83 Rþ%!dA{(Oe_ hl ΂2o~4-2ڄޅj[FbwhW=F ',0N㶌 2="e W7kUֶ8N^ okB[Z?N/ T?*Pb(RY'>ziUQs+ϳ vBӎwl~Rv*Heݓlkt&'mp4ۯV'˴DFĊs֦ܨ؄_ }Xiθ iR@}~u|bE踧<QY< ;dQڬ$FaTuQaڷjѭ2Yi$IJ|mx,8{su#pg/HPh57  PkM0A_X^8E1)œţ7% y)cɒZUr~FFȼשּ R.i$O=05EO.H6+\xt%,2SBv.8I?biL:at e,FKGlk BH]VVeYaNB^ȴ_Sq^7UVS/o  6h6xg"򞎋3hm ' a8 X oKrsZVX`oK3LxsSR ),ycf.ET: [yVԆnh-5!w214:Y$o:IHW7(xv@q`V3>_YαKۡ+ģ-JUڴ]YGNt/Mz9*J,}Dm/Z# Y|iW,ެ(s!,q(݂,4.]$R-doXXe;$%TkzUӘ<=-u'(.8't)Z;]T.0 97Mu*\=.̈`m5Js<egUV$ӗԅ^  E6c'^SXGV>>'5LHdꑘf_>VsI c^Hso^C: $k;v|ζ ޏ&=Tfc^xCUSCw7̄?@r~&UaN #X-B1X&Yy3/|3-s&_5tih6=vK5Z/` 2 vEqdG"6L^ؠ`fZX0O.[7bXM5ɦcpq? cdЎs Yst'C>f_qØ}H=Hf෍ Qs8i1qiU6TmP]jb_DGCHbrM_\?otoY}YIAw߃֪BѵzY:s_~ˉ+fcRS5{MoÚ,gJ](e:=}"lZMыƖl'(& GwB՝Gbc -ƨ AO$Mc8)tEp-)^4<7Þ;zfTvFffwx}⛄53ɩH8?(. Pk!f."pE f<=sv<%lF6Jvˌ\ꅡa<N> -f)m4Tt!,^Zԕ#wi(`5LlFZ AҵjCNQaΡY&n?YbP}++Q5pr.7t*E3򼞛.8'VUhͨԳ&v 7f>M5 |pi$b{L9jup÷EiKj b2]څO'1gS a,Ra3n۸j5QX=Hw <|-1oֵbI*5®&vS-KVrK%c6+rj9/Zk9cbΖ{I9򵸤V0N2]-!R}pCR4 +2+tYABy&o<踳/+=`$/TFW7[A8xneP{;81)ݸD&.$y ajgA{Oa OgF{o{!JMm|,s{tX{S=v_7GJkh}`6ya yW?===<soSI6GWmfqUh5G[4|ps4O;&JE" ݴR^ts>BZ*mP6J } p@6 VǐnoeO:շ M#hP<@$ 3`:Z/ {~ټeM6ѐr*o4VO'E|1pچLf\ZPqSJZNӀ_vz |s 5@~'UEbd} (3MYM%Vww~Z?tpOPqP6΢Ҡ]34mA _) ?YH_OO߈/kǬCߠ њP~k!x^ 2V7$Ê^ʬ~˪g(f{A|#%'7T+#Ɠ4#y֛ 6d\EΩS 2Ҝ;ǮIGtZjwj8rrUuy\p++Fr`wKFm;5 THR`%,T[o1KT/%g.]%ue#͏VU7b;SqEg n5}$c5/+5]/@y !3.\ vXFA6t*h,xEA/Rw__B=PN1U32ZnhtFsޗ{&W(o |՜=_̳MK^<+ALZZvJi AT6ќÎ,jIBN_8x[:uCdnTUgmH. 9.i| eDI[ICxg>PEJ>޻VFG/J8mfyצƤcwdo `<ӵ=p 5RUGIS2bלQqp 7^`ׁ}udME[zU VnpP0; wH*IG1"\_kId7x\H= {"Pa Vs՜N+c y~-0JӦ8(=BAmi2D>Jd#@TUDl4g5'pÛ^nѹ09L#dOy\͙45O+<^ee ])eQpoT$5\>?#oB2}]R ܜuk-f+2R߬ĘY_ylw֙$=uֈұu?0|+?녉!ÓѓdEr2CAvDKA.X7dᴐ" x8GС>&ɒn9w?`I$Q!GvRp%Y&4'U*ފҠtE,ADBEVpJ{lMTrןTȵŴxI\7"zPZ&-%~ط%.³l5Ze݁ŋʃ7zZ]7e\iĢw%Ibvs P2'ǘ7Umx7{"}#VfcuͧeQZKN ;W'웒)l2,NA`P\m +Y݌V5 9/;Pɣrݑ7Ig2ۑ"oP?,̦6Lr"x7(HwUHuDGT<ϴV{}E+.ɓ 1éT͢=0]r؍q7=Z0\}\+zhc̬è`LYL<2˧t]X :#FWςfuoJj *İo0+uN(}M+{34'= Eo:hJGCջ`1AÌC#qӨ0 ͐K~e9.Rsܡ>KhbܞVT0>7Ƅ㈢?6V-F:}P;JPR Ulҭ:֕:r'|.2[_>;lyUL rl `gG,- w.XD^E/,7#E- z(esj~+АPqť?ޗP":yk*Q.,")?9?9 =. c5*H3=9VǮXmCL0\|jV4]Ixg47_CZ8 Xv{ `7o8Rj鋏ȿUSm*^J52וig"_,)gx HQ@ڌZj԰FF{ePHr⥞AV(bXsv ն'GͬB7JL}>z.^I;"[4!x̂T1ؘkހL&-ٸԺIve!| .*,ע.K̖?J5lvI^ #' ZyH3p)cA&yE\ypPNtɗpp2TKyxŭmXS ]u`+P%6 hmEA36%\4k}iΥQ\xw27oK/g f8SSQI{C%UCst;^B5Hq!{FێSi|,l+[k¬\W:Ĝ30Ntu7,Q'ȶ:p|H8]EZtgPOg'BuaU%B8Q!+ *s0ЫߍjYG6,\OS0żlԛ6gTm# A=>N5ӵ3S/flkhyT%Ҍ0!Pu okTT ff1!AQCN#y :*+7*>x kCSVaʬaChr@ &KR;wPRě2{2x ^Hp[~aĶ)*)3T:_h.pڈ;;eE] Z5Hy~'EaF kuF]*QmJUeJt>9`Jp;pKB梌=ԎvŅavy̺8y9qV jZ.f =g|7|hRӨ[m[W_4.KUpq?dk WV:L*I+['B"PuZd/  pCQے?zQ"ʳL-Vrq[ Ώ*/,ΜQsdZk2;Ŭ5]ԕ*AJ:U<Ծ׿p7^3G7#i̟Iԛ]]æMW@[AP 28P_mYa‹e)%{A/0IDcTl?TWM'fa  :z\HӔ̂oɶF߅ d+HQhiPCKzӇtGJR+5zk}`ϫ )p]A]v9z? /Ao[2xs5>ofEc-j:+!:FYVO,u6οi΀2Ӆrc789''RP#dR2z?rM]tâ-j61EeTkQUǓIFGA ifR ީXIi1^odӍ8vF{0LO-̮?BZffDN6"#c\D_6]М]$̨]gr{ZmJЪ9dz$ÁWn6__:`Y/h27B;j YT߮ 11rg|jlvA|}R#_:EAn9/Dh7tEJGveتT!"Y<kgqa,zc𷅧Re<eUaMnm\ni(cp![}EE{:GQsY)]:ALϿXk! ՠJEE@}}ڱ6f} $KneJDZf6|?Aj4k"j7%Cɠ)|& I4`sLran7D.EŘbl S1ǤdQ,`oKAI4ڦ 31G^ 4эMLi1v^  )r V@x 1l/ **I{+qͥ|;űOIe bH|+Ǭd]6vD+Mv!i /Mn{2K(?SoQh8o?JLG&lj%[^o"*1&RA?6)#ɴx:{dX;ܙ '}EޣI}NF!kɴfŘTuc}s7WIN3>VG.ƊpVaYi'~.T No"[(WH '5)K Zym0Nj}j bE"Y CaRu>)c*||/n-W$\R]i/V~fx2S?׆dE/CK\҅Gʩ>p”J) :kE<(`j6Oc KR J ~BY#s@Nqo j{~Cnr +kՏ2AQx?[(KX ^_xQQ䧧֦2w ]cL BE=bg!=9`zNl`؊.ϽI4 i0Қ|MuM5;{:G-j&=JƄξM,:si(׀=nK:Ex<u-xw(pУhr;Fp'WuÐr#8@:-.Fb(3^4zyXEHnΡMqӭqz8}k}޿w#1+1AT7\A+ yυ3~_T"T.b(+*/k[ ±Ca/9%(v fTyl_=łenoX?r4&VZGg2^1D4wvd9'=c͆bx_ "@-Eczw=iP+7+<+7LM)Y< {~ $^iX#[.lW<%)b^+;QZazZTw\~hMZdL՟gT]_5ع$q\4`4&-jet OiH&G'uc;ԘCk%ݑ=fEĮ{yܕ6jDtU{\,`!%mfxe8gVZdztC)|X{JK'#0ih'g)IHfwu[ uJQ /4AH(l7Pr.EsECCZ ݂P0XdVaI!(;AtI\+\Φ6yy,)3sYX{Nxņé!p`~5,trEj՗%e^|K߮xeX &Ҳ KFT1&^E Th2N/W +7Il|WcȮ}EId*.XUYra(ǩbs /nzëE+aJ8$t vUwf _2Xqg.Ǚf,2bL%jx'iM?Y.zՌmPšWEqDAOKrؽaҍ*;.]zUuBiaYtI++ RXKtaQ"U!np' 09?-ͷ2dhyTaGHwݡj:am؍zrz)д(KQ-\nrn1+k1^w~xp2I" l=9 ?o,& !w=a$Dbb +*'c>jv.dzF"qҮ}StL@E:f1'pHv#CA1JҦpZX3<ZR+42e5!70nS #xf ꫲ,2ΐMFNjaFzr|(]w:%fzlKߧŬsvAp"۸Z~o-_|Q%(.A7/PZy/RwT4E':Lx+kJfV ܢ%(c'hG¨e_2>HƴFA}O u^*w,>eQ|RdƥƷ_^]=06sGfxW_$G %ӓ&y:5^-'%gFM2ԗZ+HX6t 83 ؗ-/64:uP1&Ahݱ:x2*dl筴~ekbyjcمL;>h8xy'?}WƻCҚMv1ů.MV9`1Fxs\Ω4a?{{"v(u_y5b[Κ}~ v~LXw+)iNgwgf3zv:F ϓ~X͋mK(דNcfF>SY;GBc}OI7E\"J33G /%ZQ- ʅkig-V\_&,Y oQt㷙Pp%H[uC -Jًb,XNh,?jT~Ai$5ϧ; ;̏6f-=+o \ y!cUۭo`Q2|z /Sza{حsX}iyl f2 BIeq|wJP,ڛLҌ&Sdkd)!u񃺹Sr.JqȘhnWpd՝:؁+=ObAJHa()V~1N{ 6UJFMX[J}xK2.'r&yY4i,)*XnnGY,$JA^xRN+6r:' H5^k1_7xVҤ`haV *E_T%TeciW~g 9 6b}sd5|+ܠEBٽ,<,2WFݘ(`ד Յ浈˳Jvךf-z[vkVPk+.\9 +',/bDUy뜑<~cX|Sa'!ERX^}̗ XRKæpŕ_x"00,:{X4K2TR ~:[4rzG)6ҟcŃKi•U\tӲ¶~hHD0ґ G(UyޕШ; qkah SE_!ԚU4i?5_ qىbDͱ\laTU|A~U_k/oJIv}Sҡ|.$,vڥt'sShBptM)s%I?XIlx#zoKPGǽ EA!t]2ARQݘi6w[WqFs0kkL:8%_E6~d Rf]egS:غOB4o!a.ᝃnl!>)Rɲ|(AX71.,g*hFl,4ݍ țI5dx}%v:A Xh0P+a v;.1{<,yq%iuyJ>8J~GkoRޔ=!Ҷsi=o iT=(τ(( ()-J VFջ >yrl9YJ.ap+UV~cܪW\J:I6p*wά4,>r*4Ig.20Zm .8)_r /yV0/K`MD RW_X+l?N>g:JfFJkk c&CXWG?rj9UQn-y|KU&Is&'Z/',"S`]nk/++~' `Cq<cVMRW\V7z0eMCUDsM/K'9*T8rA^ p$"AZBe|W+r 2LAϟ'<{%UFngR;@K%~oXoH1BG4gr38mG0fc>HO"f8j<ʄOuYBH{ ⅥMOG}G&#qYY>U}zhY2`^_h]I27G-2BM?"9`V{k"ax'ܓCW.`uX^Vޢ F41++dU 7xi>M?C/|/SG*fPlN`4k D-^Px8itfRռF(T+Γ,+Rnb.tٗ!TE_^>UQCtCI:sL,BK+:B'ǑLAVM)m.vޚ㚑M7E&9d_5^Tc5?t/m2ĹivV \UT9A{oœ{> gh>/9LxB13V ibi8ƅ15'rBWdx=#"K, #6QlX({`+cKe<*ovwKL^? /6g?^9ڼkjK]0K5wܓKmv.o*/[ZNX+|L;ǟ2 Lc0;>*oF}M2RrdȄS3會TD' prʂ}rꐀafڸI\\, qXP|v at.)1V#̖yP!2!@RuV,uY _ɘfT 3~BNƔX?7keU~MAH#|á ި,ht8ɊWe)d8ےJc*kѽX||=hoטP&04YEVsⰗ5-4H%e780)@c/|Ju4OAK9DQB7Q]ebT.U,Re΍<.:y?ϖ{_*<3yi6(7F ]>߾4AgsKɟeYi -ٯ}[40spz"+u51j7ކoUך އS=x;myk馹lSlrTSd__Վ;N~mvN7-g>Xk^{kv Y#.`oVl~LӰ8CZQB(ϖ\3j(`EeLV^@ q`'ˉ4<#z~$KKK*OjSITtꎐ`FDr~6hG;-pЧW(ԾTtۻE2^%1B鞠+l~8aӜ 4ߞ$pt2Yp_3vx~l8+u%i Nv<`m"*02v5Y= 1J9f"#V"=_m[&-Qs|84#҅{KIHPV}HaLLOJVbwMt ȇzK}Ei$]S2kNRBLjKOژ0zCuO}eNlFγ$c\׏2h&Y3&aqӧ+f7}ͷYL*4R+c}lqkg]TYͤ0 ƘkaGwx<0oZ8I4PWG QPԵQ| laq$v /6\}5q-/N~"IV},ٸɳTvw+u ([ٍǷvoJ׶5e+sIjTOkDcJH'VeARZYN)4IcVi3r/ft`$LS3§3.<XprԾDͦ ;BErBbs?}Mm}ZpG5G|K,Y^G3ތ> gs^l@{K0QP4>Ae\f>WN5(oN$ՑYzw`e,쯀xC(u.GB%0vqEŇl.G*q]kȬ݆b\ni_VL9BMG2Xwx>y ±uSF:vǗı0-+[X JwU7/m?'KNrR. GVțNn4;Ӟ7?X|A۶)Х)]=̍f*%xlOJ~ L*+p"9GhvNndZ~[芐"xsjfa`qb[Ni53g<^[}|UV/K`2IZłǸv4SS-?tGE\(;Sl{MA)F3.oJrKYhex3(uN!LA)] *>"R:''4xOtʗKzt pP8B!t'0?ԋwR*C39OPvgNe6iݪ}!T˱D UNZ&\H9k'wI:s)& duI;$'Vyq\Ln^kyzؾNiRLd_Uo2ic aaADrV;&o;i/HH(iBbu8AAg9T=h,+1yDM[zj8V}PJԭ8JE"M#ScW?^ņPv*`&90X֖A9TgJmFTHϷ¢sD7E@YZN2=P,hu&? ,cqldl9`MOݞ/27J߰!dҼ7Ìzۇe,p`X WN%Qw7 ]W3#3?ay킔JzR.}t]X ybRUxZS87|aQliruD[LZ[ɽXu9XGFqI+zfkKg XJs,!tWQ!G\>k"|u}dK!UBWQXhy7ZJ|8Yv1 f­%;9 hLiF?f֣PZk<\L+JP9A0r׋n Ys7-)quN2SSSӅ4g*m$q; TK<@q-eY଄h[*Q :Qé5K,|Fh0U?5vsGޡn^7?.뱺u]m@%^8_hk9hp=h.<ک.Lӣe.w*A I\5ʄtN|tCwà8#Q"-bTA(oURn5beDOaŊQP& XYC }PYRά_X~F>Tu;d!+ XҐ70qV@6,X%(]+=kZsQ/FCq3d΁y@AT){gƇT^ *R+r&]5Cf ai$YC7_4qte!<+F_Yk.0L9\l@tsQ"lA"3Y3zlH0>@,&XfuQ:dP~͉<\X c3,)hJ!4>F) <Դ&0 M`# Ou9$`8 8ʲ;LfE>IjU&Wp{KYK\4))`5ʢ؉ ҫqs\Gv_šA,LS|D/{s{<ְ I-0\7b +t1Ի6^^U.VJ9hΊvؤ[Ac?Fn23&T,oѬ7vM.տJtE)19GKXG}ta S wyJwh`u?BkWҫ6>%Xd8Nb~lU,KE{E\Y+Æ7exS2/۽qc)ℙt9gbAn`n̲."mʪS qѫn׫9h (Y6A`O.z+^2[ sqK^{/±/>^1JOf(c2evHCRucmfncʴpC(*;cF-$ X<)Gֿa&{7+ {/([Rct",U*h}L՝o[mGXs xso?WUhFDs,[)j$;/Tpo=n|Q3 rL l]E E<^IJ Vn75/Oi3_"c*OTqU\-ϞMpٮ>3!spj)ͽ&̋oi.ەgǘ٘?g,}mjޗL`weIrz+ujW#A*<|E3R%*zc uKKFmLR1u#`yH1O:̗c$Q!J0SpWI0 A4e F8Ű~ Κى ?3i=Ndt'a3~$..Ç~&o^*;dnV P\kw%kl&+ڦpC!~jHgX[Eͻn%03-j˛#֜C_G H)QOٗ~IƋ#1ͫ0|I31,gq1*+]N zi_9q&&[ԃk9%:n/Negۗ$oDVv-7:0/a$q0aN.O'ԅm efdg }؟YøG' ([ 2T?6ac34'.C7ug' Ԗ^tMGMifda5 }MR|(^U+5,4Xx!X} ki^kձ6qm{x1' l\я2q"NBl NߔgQg8MCKgPlH䖊oX9 \R^99+9qA?HY6^#6^<%>w2+7|8|70u]ɽ`TL*^0,TJE-f˧9+PrVK6>DrY w9~Gg!ka Q#Y7x\ %U47& '5dZNxYyaSK8N?%őp>9bFasàвlwj l|<*y+DO:iQA-*cej^R[.g$2bYdyZV?{~A([\}_nE0S>LcZeC1A|SV}>g2r2-h]I˟nk©9Ka՞PLzk5yeexnCU[OTMFe{mSqSrҿ)*2m0pD L5'-PB &a tGJ !u+ (0ǪߚM]eFB&TڙSaG;Ef]+cK!rGkLaE} lMX--9Zgi;z{FTwOGeǟ)oy A$%4f*zl7qzx',F _t8fz,WyێQbnvUI_Rx׎2M=YI /8e##3~JR8LY-a .圲EmŀW^c4L١-|N}0: tS ݣՋg>#R{淺eIN2_/ĹM{EUxrv&wR,;cwS .%q> <_ Zp"DҢPlQ9-=i+2G~R\fx}Bom)P7 1ye"h"upb۲ "#N+?Xbԝp˿OM6˟xmE8t[h:"Nޘmn>Jw|zP$$g4hF]oٕ}˝22zV=:<2^EZu?G2.˂kuJu/Z<Al luޖfBurxΘ#~NB *;漉<$j͡B|J4|D Q y霁5É6c:ü2g;sz33J,%ÎoA5a]?Gd~0=h!%wą?<Sެ.$_X<;eR@0\e@ubB,kk׍7csi"&%dfX3K7$*)(XFA OZ}/*&@*/$0VEwF.;䪣#|e8+#¢(Fd2yE|klwQsd:xV7bاvaI>7_+4z+=2K$${"T,&V5a*%|# 8ړoV~_QhY=8t3Xei&Gƞ״LR,j6 )2|2PA6dolzFGAvxa:]^:{đp~]C۪E?iT+ Fw`W1R9sD9 e1ӛbFN{TČG ;=pME4 U5dҬєRnj4q{aƜf~&FL6r=18Rm/+QhpTOgxn+O#pZI>ĝְȦip μO#03jߥ̃Mq$yA˕FjNF'7Ŀ ."j 9xpaɃΧb3i6/[kKKHĵ c N迊d;D ?\G峨Zi:SX3eErE@PgW3XDEMC,;/ȤxE*B55%q1L-x,Br=avj/ѧ_v0W-n%۫R|gFXnu/lB@jyaYg~Z25$0=9#^^6r?>kT=8O84/YPII`u _`Ч)HS˭fvy=^t4:p}5#qD- R1t qa* >X| xOx41¥]t4Lx4b"V ީ!kHIZ?KXQ[K$ٙ%4˫X1,a׷yf'=_ g=ԓ1BPnţPf Qh?LbnGXrk)?wБF$ \ԬSnZSvKpu ,7NNtIHRQou$j(2˻ȥ)(yaԖF QgWLn8ɳZ좋~5ubz/bΫnz`Yj)k鸺kd偗*Y&|̷h#z h\*Xu~P*v{`\Śs sJ$d)7?$r~wKz)RrfB׏ rȑ40?Dp-,qaF*$ԝ X0HҔZWzдZ++$y mE⨲sZ9}6O \cy+ReAYttWqo OAN{l92{+$1=#q+u[. ?l=GU!e]貗Y1:QlVeFyDD?(Oegvz3V[p[[t+ ϭuor%Z=Yfz L}'E3Y-%-^y'謥 neւp &N Ү^3εUvxptfCnDc57bݞr4F& >}:ej0nE^a̡djqh|E|Ԥ/n+&{>Dyd .E A& byMay-fp+#m,gdzWbOeNLڌQilhP Q=)Op⇴'Yd>ҖGdb}&AZ{ r-eB7XiI6PpEr$KAUdT:GڱHӸ::d8Ǐee_Vʏ8eZ-I3d>ûl%afT-*Yɋg ,{4Z7B+%^?ahhwN٘i O.|ƞq:4YU{.GjHh;9gH{6kp+'xX Paoʉڭ bWM6(-)XhQ P' mn=kpO9^5e淨#jr Ex #~J  TZKRſX9Z6=O["{^GUy*U962776QqnG"lKgJy{($qaM^V&Odnj.a- ZEH٫zo _ y67y#}/>TO qs^ʖŦ°WϫF-)^ǶL-1y0 ,|nfb#啖Xܙ \l U4IkwQӣ7 z ktZ}¦}VWsq6㞋_>o,vNkOٜ}"aAάV#uZN je|!ut2=>uD봱 ǀ׮^] H#"?S'="I(#ota&-?”XBͪLSʟ>,tX큠%s^($'[yi40hP];l]ŦR.ɸ]0ޙDj +5U'a2,h;?ibFŮm)&BOQ;4;ܑRY3{զS~(Î$R.;V䗳YMe G  8xj"۝lHPX줒kͦA^^T uT!:E큛P:i9@pEA&l,`D9 MWCX$dύw.-<@#Ԏ)kzD[ sR0u9/bi_I=͈h*GD a-6zcGfJlIL hXU׋7C:gIyWӿ9z^bc|V_PX'±Xg\.'⃢)0 }văjʢBW<GUo3mYte0y "Nl`_%Ye$ŤvjI}f$W?N{>Ӽ7KB0/gT$5FyRmn˵yPs`" Yx'߃pRɗL,2 껢@MeWa (loLM.YEF:3fs/`X@bi;vjY/}L:ĶUꨩ(h~\s^4) Z;A0!) yԘ]@]/픴 1_d4yj(󉿷)goS̻qU>7'OUOW/ͫ8ȅO=Q2l5o D0!k%e"' y<$e 2WMُ9̛L%XS(905Ɣ Q0%0Xy1i+DA)4f]pI̧N94?4{;13E>x2`n A NA.! BG4tny.a%abSu8'y<QiW^7-M4mF~ZO<|ѓ&Ǟ}+C>0>0'dI1GY3v#&w5WE\82v;!B1*x0@X1rWʙ`EeDL)|^cU' rZKG)]Xx+)D[E0 B$G'^Pf4 YnU7'^L"TkW0fgx \ F J~V) 0n2o3Z?y Ez(`)abJ^2Ro8{䄢W$-j4`jZ-w~ʌ#N P^y,aLkAP7f x8ˑT`2XՂZ E@~RzˀB)]G? H4xO<}H0#/&G_9GΡP5ᅮL-7GL\xGdK²0sd)k>3Mm P弯KJ~VF~Ώ8ed0bF9A6SR]&cI%w)vF%{MhIeE0Frںc9hyN/_`q|c$; ̐2* pO fDCO>@g IX/<8)Ct*nWߑhI'طaZ0D Tݓj7<ٓB4˹; ؚ'` ǀ\ps~MR'^mm1aܣzJZfdӕYדvvMD%i"ɔ"|^z\NW!A~?YZPXG$Bz,&+ إ[ |b&o}Z Y/fRgmkh*s2M-ggr.VeQ8 Dupp{LȟiS'J1|rp<٤f-VO /RVjaߚgI,m.'U' 0Ԅ96C*5ƎE*)7$zrҫ2DSBB?Yv>B:uZMB]iaXoy* ~kju.=8 Ujȴm諙`!kɵ}Fpc2WdLﴹ[kV/HF&AB':ΧlJAP|piSm1&?P.F֓~hH=fmyTWs2JK'32գ Ɨ;hphP<0{cILC0ڠG=$Wn*:1?Lcq98T砲x"+Zg)p H:ٓX 9$1q-¤iP?/Ƽaæϳ\$[;l9%GrS+>9XӕXZ]Zث?~fIg  tRwty\qSUc\ID_s2b:KB,.dRF4Z~2iv%2qPXW ƏQLn|[3䙡qyWPfQa#wovA[ڌًf-Jvxc 4 @`oOBoxvn5fOA1jgn'Now*rԔ/CM؟)]9V7?>1?y>g 3(xvq< /q2=c)Ύ1=K72Kb@Ҏ( z=>3E;#iƀ\ӟ'eQ7iOD=}W<3y PP pyAsC.,eێX;8)-T~q?o/<uCƨd_p5~xb/?&I% F/nM;Ư Irh.٭QM 4l`JXVΘ jUYj?ⷭEFVܸqΦ=-O[ZNCqU뗋S{6DTֵ5%J j_">kBkP7dvSe*p.40, cY-bQ럦||7>JdaQ~xn=Ut C7[ *xSy:p")^[ͥ`ŏ2>7xݓLlǘ*#%9*lB]v2|zۜy5l6{lxum46*s18.Wf2  MoPҼw)]؞^;n5j Rr%-ž vŠLxR{Ғ$)Gڣza _QIx<KQ4?qi8&sxuL;f)B`8;ϱ-Gd .j-']([{ߏ^vb`&/bbG`,ŊU 8G)\`A@ٝ?$ wk79723qsk>-9bӻ9G6SE[L9'[Wx'{ty;?$'(tӠ+ӐbQ#r%Mr 灞bIh7U6JJ|fpCm& Fbyx3 |W38wL Y1 Ÿg7gQ+c+MoӍөKI]Ǘȳ%qU>ĠN噼|N3q: 6:|o"߳q(0B/Pgch&Ư0Áq 7tM&TlhR jLfо_C[vyx),r< 3:@5U?E-Mz_gG|neTg Ph4$ѽ 2(˿ lu^NyXazH,[=qq,5>pW 'n2-{.AUo[QlqOy@yB 9FЂ .`vؽG{5UqlТ#ȆފoSSjT>|$퍔YŽ3'ݨ=5Wd8Dr_0Qy(E^jo{j'v;$Cw 'E2vO`&G^?dLzk؈pft?2ڟ=a#ϳR38<5UG1!INi$$ J4kq/™q0:? ",~t C1J@{跅^yď;hpShl`V8QY3,!l*5~sBLif'Į١3^sHF 'ByCĘLa?~:[Ik,TSsxcaW/ 4sɟ  iX[ӷR%q(}@1bį׶>Fbq_a R{5Vģ0zL?Ҟl$%VװQ-pn"D*Pp]DXJt^:-'%=h&&Pj8rrNq_q拆>]y`Cӳ-J0OI9JĪt3.vݺKjґ?GZѝ%2y>}R&N*2K£ך]X2#&WaqZM;LD[HIn RGr;>Y {X`TaBCgXrs`8/bm$fB{DԀS9BUߩb0_ kVک@~g^tvn1iqyj?2`Ke[&fpwG `YLO/u^pa{y|0mMq.8wVjyhvFgO |Ǧ qpTvuG[lq"xjN|l=}-/Cuok`3!ڑ&FV=VK:pEI[V Dpn>Z,0F~= `]RWa0 7dWY^u4CR.a%7Vȣfns@=Ձhקyu͘y-,ؑn,75C޺Q2w{t} ߧ[XpO*+M] WdW8-Ixxj<#.?eǁTO::%#ϒ<cI_Ҳ AQV vuا cfGvZg{ Hn7f^oj>hC2(ɭj-w Ȁe։%|&a]Lȝ@Υ2 D?Axs炎'=',7)Vҩ}\zhNYT>DJy-V^WΪ$Yă3/dӠrȭOӲ1T[S;xF|l<0u*eC~8ZBo AJ|8s~N 2Fa“ʟG $x4(j/jcTC8S2h=sw,Jch~BMJH%)Lp `~RЗ%9^(C=ۮU{(S rm.dF~)fߏVz{#Ȯt:9-'̹ך. rZj k&~)?~SF sXn YOէF^ت Ñ"V g4l:swL;=hIv99gQPuR~6NnO<43]y3Jn{5i6ZhjjiqZ,p p7̛Z:h9˫ӑOo>eqvJulґ1 Cnww;}A[2#l\&JDGÈ:ΰ? :ο51zl(Ye@j?'@g(15Γ?O3N٪.whc vh=`MmQs'AY^^=},ZH[DK:Jb@4%C9dА:ZzI*HM0{ *xw{mj Rm+ 9quaJd9ERkh900i/Ӂ2#hrlo,ZzR-pg,XbOm/HInG~O,q*"IﰨnAQJu**]##vZ0=\ݗ#;x,ylF>g) =#zNۜo3%bV،q/\-jZdZ+7Jv:6/b]#YyZ]FhtuBS>M:# cC60@P(7 -aF6Ӛu^IRV0 IG 2TS2zW/w~/\.aq^0ߚ,$T=?/X9g39GӅ%{O%#zm+ٟŶƒ*q񒖼7ta:g!}vO5ZU6.n_Ob )twLPD1Qc 8$/GDO:GtS^͉$-grlG:7gt"p.EFg'yg~~*yf~^ SDKN4!a hכ:o؈X`uE'jbUՄ8 (형?j|+O iZiMW37řv3 K6^9Ҙoc+1|~ }R_p(JL[]bE$5`$h֨j$R&h)`?1gV`'ZKVY)nF]hpxjl#Q`ޙ+-`QW6BY&^-ldܕ483`3 MrJ0ELvj"=S.ɰbeI·b)-(x '-4WlnO@:t} \Aj8FIE=sqr1a癤 γRN_2ͰM@Vk)n32Ȭ%GvFǮppfqm^덳Ԟ|\VDP1]HQ9/5r^ ! ^2X:tu@JЖ (ޞi}sMp'݁ݟ7)uӶFIQ*юy:L8 QgJ>CqdϢn$ӖF  59&~2nԸjaΚ'ZJE=*y-81 {'f?Eް0I"ކМc?(B[vijI*k`ulfc-粻;X,^c:ZFⶤy*5GZU3d[d *8x,2 pZdOjppN 4`zRC! /C֙וǡOj Y7=>e#C@3$,~m֘#c5*?ڗuU_~ݕG zYUfOfFꔕXlslB=Z46EbRzV`<~k R$7uUeJy>]S)A6#4hpg{/&=.)׏O_3o_Jgߢ --TFJ^wg=EG'b`:pT5sC)̢gUf7Ix4 IaR1KZN8k!Fd#kwfPqe9! pM|;uCei"d5hS =:˲K#)ڱE-iHtg/wmC%Rrx'HwiLguc$p/T.K;c 2g]D zdw¦ }ȯ>5oC|IXH\yܜA;OEvQy QF^^ob蕍JI"t aOQd"Spg b،2BY(;LQؿVqG5 o`Eڴҁ?!}3W{WRyA(hKqO٘ڕ+euxצcxsI[bȠ}sx\n $1lndJPA]jJyMB[a[MF$fA?IKKSԁq]6{:TՅ{-+:!~Onl?,LȅVܡ7c| sҙ<ӯ4r<#]dRba޲HOe4_Sպ&B5:g+DGe$t&aÙz͡i//>aS'ץ&qmJ@#K}dI$(=:Rfgk߱CO`r9CĔD[C:ce0LR|O燯,' HnkAV 6{Q >-1v%}a磼؆:uХd{ik!w`9z?xC-) yYU +"iGzܻ|t6vEK]U嵥'଎'\r)vzٟoeܿYIJܻ6{id%EFmy4i}T-d銸^-ioQ'l\+ez*HN_/Tʝ %l?y|絙?,P#f A+G2+ByFxJFJlFD{G"{oTLa8lowgz&v~hHgǤh@@h@#xЏ 8X<A tq>Und9cgQ.M5AюxrFUa_nL8]`;Y(i"h {ݼ>]IoBVctѼ)9Z.MJQy.Ʈ9l'{dgm;@:?- cl(. * ҮJo Nݡi/[kM,/w%aȍ`vI=/6K ƤJ4F*5 v2ߦ6(ײy;l 3G$7ixPhg \v.Gㄖ'H*e"Eo6g4n9N *A:{7ISthrզ{J>'N ʧuItG.iiD7#%%9vt&k; :'5r@ FèBS͒ -ɩΟϑOY"m+ HN3kx&ζxNj0LJ,;LvuzHjPPb0=$hdk&%IJKE M㍱xg#V=ٞ@H|)F,Gɺ'ӡ2=F;ew*kG4trw<0罸l8Z^`uvq/p)L͎H#)L+8ӒZU MdSXz)wO[FzN_hEx>y faTQld[z~RLFL?yѤ t>p;fTe"I+rQxm"?E =ſ7,AokM@fʰP΂"zkQV$Q#Q} ^ nڝrn#LpC>*t1Ҵx9 (Js\8awC3.nk|d O>MxP*J-4 хODߛ9\l@܀_AqJ Qs$_\`Ȟ۷_5}r/{Yp&Y'$Ʒ_RRPX|t/5-=-JП MXi|v./8 ^:\P@6!6'W1V_*}73,_Rk-$z_(rXj /4mZetFaoM{^(ʘftɸ$G%վu{>M o H:ddi[q/-CwJ\w X})mH",/o<< Xwy^)_FA (Bž3Ȝ0kuC{,-׷Lׇؤ}2uDcإN%'^O_w"$-S`,/m;o򇈪:8-/\d{+ЩT>*/% s#GGIa1/ /Ya}LZ4·};ZgFդoTGW,׼=5CDCcqv(pIB`#$]Mt2ǜS}ܳžV١6(ye( `9'CSS^-0nl8 ͙1ɜɮJT9t(WAAB0x+&t>j07aOBSyufVpxmżzLPvQ=un =ؐYGyi꟦Zh`Z2Zd;UT++*06G/^ ɳziܥ^xU귞.(]Hc]L >cK\l:5?o7UR_q9j)&rJ Wz R.=ypLageuB%I L8D #y[O5;+&Gr?4JBhCmP^ N"=3 bۢhbTd9m;m,L Lhrh*FNMm:axֺX}׎,)"٨ ROaiWЃnwĮL'}KLaIwT`g~lb #<#loUcy0q VJuWvNlԬa2KGR6MqPcntpaъ\ӛU|0 ƂZ||6kԔu?MTJ(Ncp:ɲn\7Uh`03<^Uܫ"y#{r0;GiT"- >\ЏnȨ k1LTcbAZyjvqc!+\%HtPG"<ftl)Uh͆ !Q}jC#  L 7$%奃/a:Od`)\¢WR,y>raB[&V*/éuj!bƲ'.!ͭ'dULO0sR|F ^f|&r'V%zbf .Loi*v?KwQVwĭ|:HŜo%]=}O UeLj^ۋl \jr$/t7EDHCІ'MlAqB!U%=<ڕ^Hqnn_`gxF20q~ƑP=)A+px5ݿ9Š5W}/Vzd-3X΂w?;BmlT1K!M"`jg@htdE]T3˜TRf7,Lż~1sy{A5$:3$9J%KQgFg# s hqubd^izxI:D#8& yNz,.eT+1^u %X"[!aV jp^ 4ho l}o'Y ;u\ύ+- {HqSU|u&us3T8ĵ|CrĨǏ?'(V'R-j:d>dLB;pigw1[+mwyΔXٿ:'U^##>7Riэ|hXMǨ6rPsaQ=.o3C~5t>VW"bќ{9e]ڬ?PS/9΁P0Rn R8XOM4hϠė[4>c"|\yiOB?mPt"C k(<<^Bd-gr^h́N*9pؾaz o,X>8#a$6k/)ډR$CDo7ۼm=^Pƞ p=a ?CVN 5Mq. ^C X &\*6O\ %29,7_%[0?#/GP$+6E_ ,奁$i ikUR=s1Ž\Fys2 }vA1G&jXOļVB\4\2lޓ4jPAV.h 쯘nb>VO[{F&oJ1>~N~dqxM&#CL' 7t GDo..G1"״o~ݕ_KKN{nm;~: n[zSӮ&9Q,tN"蹽EA{!63H0UA0JE;h5a +V"_Tf9in}"yN_qy~ n0m <I;##l<vfȭG$lbFP ;)z^rBTe|8_Nx>ئ/k N3%+XV8&y'jeŷ*ޜĬ `FKzzɘyL]qw'!m6|ŚWR2\jl,&8>rDID9=OËO{|. w /Ev%v7MиV55i4 .w䐼/BR['oǁhJӭx(w%:VWY*6992(] 3=I4K`4OXBhuefWeĢ1})pV m.g#{]{BWu#*BeR=ZQbS?vgTS~z7~GA%z09r8eKG7-,x#rCyxHŊCk֊Uhc5ȦsAs'f.61n6g7$g1T ɍRIC%Ym/}y+FSh6 P6RkjD{"cއQ v'2˜3{~ d(q-LOxXaD/5 qj}}uayl_J!?!' hםCh$wy zZwCHfzBEqܓ.+5z.;j6\uuK}Bʛ1Oodpjlz^FJZiY"==ZͅL#kX\Npx OoM]|7}x^e#{|ЧΤH^u:-ʡ\kS sωU:&KC0E3qbӶ:Z).AWAX _rT$b)ɑ9ӛ5]0Fm~&nGu|a(p䄈84A fxbVx@tZ(Bm0SCWa> I~Kdt32 =6!V~[e28gd'I%;faejn^o2l7}_VU1(}iw9GӇfT۴(UDR|;; jAOiwC7r6>ʣ芅m1Z&g>FKGVoAdx\v0n?j)-6{G&"#u$3I ^rStS?]w2i87[um| ÆW`bu◤4ЎF}go#"Z= =蘿 W4ΞYϺh=%zXUWZN.?2p/-CaQ>PJ߻ NjBeaQ:<,ˢ>\O[x U0WB$P 嗅241l5g+Ц . %x]_j{ )3ؙ ju} Qp cS5 0=&6- (&qtX9 vKɦ(BUU0r-_p9Vx KT`rX7p3=ú{#G46hhٱ`5|K"wt$G_+3F_S~Xo v%Y9zE>EZ;re\^)K[v NZc'ѳt!P  p=9|8*b{dJHcTO@u)̷~} x8WScJ%sc#F)K@%v>򵿲(ycɸDoVss[E`KN2YcI^ ƐMdsOz?y$eɛ≯Zk FHҩ[VOG-uS?j(?&9sʹ|Xor{J>*a˺l^W%|lh.%a < 1^\:'f3#- yJ~G $1i%)[~vj4-G- ,OhbC;M8G&y#忠 )MxmԇkiXuO)Tr͂!p 8?zL#/ Mf+q6@ f?Wrr!6n̠Q1Uug;ì vlA$џ-jYMY^}v<-uW"s j*ͻ<%A۳qPqȬ 5!kMi=qclO^./.^qg}Rr߽L'e F4z8 n6èr>XFUsS,ld.K P3OBO20g" dw \ג?:ia^tgAPa~=FULi o1 ܀;.ӯm1Sze$[$h!=G#0 ,z|?0g R;kH]QF%QOLI`F|u52'8ݘz|31COtCcobӟ[ʙ%֎~%# 04-C!}䡱>]5-z,+Vn,)-5LٙO (<[Hz#/yۡn4:kd雞vA~lWTv ocYO_NZ]l|&Tfhfezo5\h %dFoXd-|)_:TvkZ1ƍK͢SrT)?mEǰ} 2}?A9sCq,!(D0x{i |3Q<17ӈXJC\9Dm48xi&pΘ܍ d TM8MpͨN| I&TH݅MpF0 HAf¬ C".Dw0z3kU+V<}BtgEF9Ȩ]b< ku9 :OE^g @h~ܠm91Ɂ5`Dӥ}J (!Q >DjO7I% ]c{D/n*Lm֩.,SkuyYP{TZ:sI)t[zLңZ(uYfl Y/嚿&FPK. )G԰?mYL&fEYtPK[ł3.+GgaܛxC\Ib|k9D<MY7õ~9!{xI%KiYF_J$d{mN?v08 -3E)&cDY,i5;'o11%r𴎷Y0HQהYrTďi!̓Rnb1d59౛NUD\z y &M)Tُ/\/b ^v^9%(fi5TQ<ݱ0>Sa}|L]:(¨7r׫{@)R96|:aym:,kawѮ@5_"H\ OuTeYRt\24:}0 ĵ {ֿi:Sq9ii&L9%L?;|(Iΰ67f=iֲ\QHidQp{ 'Rj"Ih<Ҵڋ y <&ɍgnK 0m\6k+xRQ*eT~;M㷆~#4Sr[ީNgO`ᩖ+GHɝvD,[ou8jOW"0wzZ0Tg֋.`ClBN~o&Έ-h"4$z˵߈Og“&_䰬Hߘ0 )˚`#dp9精GM1 2/>jkW,xS+`69Z/qFC83\q3W \];.u?D[>FXzٲ1GaQn \r&Lua': "Z뽨щwQ06 ֙_w}-kAe溂kuj_CGFkHшOWn2~oK=BL\c\F;t:Vfmtn6OMA9~ǯWMc<4!5vM>=+v/APQϥ4h} m!)K)WN5_~Kkj/F)8:G9cPܓ`-ێ켜wFF$rHi2̳PqAk8|9^pg\Z={}|.`WcQM؉"C|:8w@v' Bz貱0DrFΈQKޢZyo Pdgo&+ 91"(iQ YAWt;SR7(O+%S9;HykOBa-&ޡA"IT|>lLhZ7aʓWaӇK0'ǩaSDK\|j:TI$sAKt&Y)hԽCj?G x0'0(}M?NԮiqgPqE/;钗X]8Ix1#MX3*$g;t&n(㬬3%^(ċ81̒]GIXj,^sޡɮC[ 4[ &BH x@t2}RD.Piie 6 90BHYd~oNu iX6Wc?bÏL >+2܆5$'vKxq I⬺KDaW +Cvp3LO4 Z{sf6K$#RǑeVY;O\l aJO uu_<[*Vz0)|Pد0<yزJ+%%/>76HbތWF|O$w=87&UsT\!y:ae\I ٦8>YzY(J).ER G&SȬ/EDx5-tjyEcQyAnO8-~ ;++}xߡzIt/jF:tK߸!ڋs *b\NamoU cCk[P;֍+btb\oo{^Lk7ÔOQ8U_?ltutƯ\>_%-OmuAb@7B en)}3=[t ck滤ŅH}XpMu=OJ➏ELJk=Kwc̽&ss 3&-Kpb?uS*C'8RSJhΑ(MR&V:FEŤ,`ŗ̗) G{ A.)ň%b/iId(fNebY%'R "e9I#vɇ'L98$Cw,2fi.Izy];1jTn5I$j2UR2 F"󷰽Ǿ9.d~ `b i2d[v[ R?Cx%+'amK.Xњ0/0C90qC)CwdRg<Z>HT' %;L J|նy1^pbO"4kGmqw8:XukJk`1Jsb*)@I9>{(yqS]|_v.9(a*P0³ʛt`5iAlxgv-Λ N^$a$یDbGu؋0+ē1R×9{N'1BB`U;RB`;0/%Oq@ڝS!Ź?+M>2)Ȑ[^+ %zV RUQ>I_H>Bؒ60C?똽9u6;wχk{V6 i eSFyQ9C戼irV?8{qȱ\ڣƳF9CFddNmӕM^3k~^p95с%n)ϕ*)!,_f=MR6-$o$FD]=tķwh @2 N +-xDGP1 \JDV{*xH{0;vƗ5LT}⤔ER淙@R~Θ;+&_N^B?=AQ'>[Lr+/Iaɼ-9;@ڍGJ`3.3*NRp2jJp@nl=89_VrX?Q0+]rBKWC+ZpT u`x#D,ajp%/zN&?&DQa-M٪y^fSQXl%ܧۋG4]e)'3Mxey;M$-5DyxIdfsJi&` F*hKmUԔ?Gl_o-.h+2w3(I%Xq !TEhju_2bt;Ê}eoYޢ򻉵ӷ[e)rIC;YQ8u8.9 #tۯ~gijиDkhxK mYΓKW2Ih>M5v۽Vid:6ZQ鈰|ѺK.5 Aҙ۹ rON>*c ɳ򖃲kj( #WJCndz[LĹcw a.?|܃:?0vdhh_(ǝ1 4L'fa Ep=!po xu ,w'G2œ=}S\s`]Jr(RI_tN7"//P%4w5 B7Ed4Rߋ ?I5x,BWxWd뿗*4L.u%0 TOH ij%Z>t6`kx@c)WljA\մJ>f2ibYF Ѥ$lYɘ_?7w}Ji{yPH9$F_uYbAC?i{p05g AXab˼RDи,KBF wv,Vr+|CK%gM#:)G*/T0w]+"mcP6F6ʈMNA)dЀ* qH1.>YﰱX R(6Șx!*`ɫp=Θdz՞>I1IJSI{`x>e6Yc ˇ|4uy->3#p-ye`҉km\lHIaS8.,񩯍KIHxdEh֗l, :' :=[*K0}@MmWŎ#娝2lGO1EFԠܞe#e2G|UEC97`bgwLLj"̍%z {K<Cb'Re\DC+(Eh<v؄O+:rt%%X˼ťO@fu@^mO':F\cШ攆x%vo[l@G#{wߙ2҄@ZYrE Gp0ш=`~dž`2'E 2i0`1mr =zo0nKhso'4z[0A?CuV@h v`w ߟ6t#;3d;oO mL9K >dQXω57?]d=E 5V2^ޔ1enUnGq_d'֝D)vh6yK;A"a rFOIL8bTH& "?=x&bgZK1?#L/+\=SyT3mtuNUZ+^=[,G# o L#/o]]0.ϣ!onC9ژ9p-,sJ<]2Z*:%=6 ZSX,/54'([MlcG/aq4d8 ɴYߓ%'(cur󼥓Ou+ DLI˴Uent: jpʦo7ƚcW >r (G{YGhM{geDM%,x24< [˾CrAZJ41I(iעj\{n x6A;}xA`-<(t5e0SIR`gwN񫊉A!@ ` GIw̾rw.ր켩xG0D8It 箱 xZBKn H?̲?jVA䶺_3&җԒ5@2P[1,QLZ"g3 <1?#"iܬ+rLPr ͊őpC_b)>>&3Y~E?5¥gҴ&fI^hE6|9e^寮"خ(ło8G"1 C&zw4/5m-\!QQcpv,J4h@ziJpݣv\>T/t_j(w܂_m:Ej)bͧ399爽p8{rsaӍ8Ħx:c ɗfÓզ"hyq-G}+ A8TDxPhC Zz,dHp7he*n?ۉ좼θ}7QG4+$HzAp'c#U|Z{vȡ];vY'w%εQݠS"n>/9.~V XSPd<*1Zbk']ر ]u1 ml^\+FN&!ijJvb+]wM[3խ9AXa]\ ĵ^U $>C7Y^V<>L1 Uث0JɠbqAn;PnF&>ϔqitZ?d,1]_0ڤ鍴 c `WAvKX){QsxVlo67EJPDM=߯w(us%׬Q ! X-Ǵ^@E1s])^0 GE.p>n!%%-ش(.o ?Ւ O `zDíZy!><"x>|1aEvÈq& 8]`d`cEs[ ,eKMOtWj({3p$8^7NO uɘ{(ZImò:O4(Z޹XN+fS%d!{1nP^coD@{ i9hjogAߛB6g$= i,k *`89}FhY$le9BN#_~\ QJ2I\k k~[1-ѣfQ+}`To LQ1.3W m^&kIT:^2]4MnxiwN%ޘT_oV z㎛mU~rTy&(X:Q/}t+s"{Bڝwvyd3|CeB<ʰmR_URuIקYѰ )dh7Z8/)[;0=Odۜw3ufR jlݼUL,VZ9G7̫6KܸEl]_nE%˱Ƽc |$GysL05yXXIc FB_%|25g<#+&$bLBm֑L:Bb`*&ʋjVu,Y3CPcqtGyʨ<畡f󟪐e%56ZZrG2SZbWQ5P[R@*448NdˍaةK?W^aaΦMG|YϨG ̏$S^$C]bE,b:9I&S|G<D^Q½bEE'y9:)zJ{zgzYb}ຫdcӈXXhzv m*{z7J>9MOɼԀ:;譕N[*p^z(1{^Ɛ,_%~oLѹ.(ӇVV՛~q}GX#DӧLrOoݩf:{FzB+a6%ɪXvl~Im>k~i7a#]NōrXV`Le|:6cNEi-獵=D#1ʚƧJTǀg sE9z1.g(GoMw/^R+#򖜬6 ҏ.ȩ 5V`i)M1'a 5g`oj kgIlVI"!܏c+񅦴R$̼Gq-i>uᡔwFfvuT9ٌi2'9ZPR==1&wvQQ YiTٞ|W,fHgjZR%GewϦR:d̸4'Ԕ& KMJ{ځ3|%l0M^?)`9\M*0[$y^a9 SStCP&\X~kUӘѧqzs?U HTO{g0ց[i~`OsM 0ѫAYDZnAd!@'~v\UӝVb=uaR N.+D,ӡv{L7X IYr;'͑[H-Oq84,!%,}t搙E_gA&0w4kC縅V)NGڇfi̩ܼj"ѨJ8}CbC+Ҋ8 @YvUm P9Nǜ1Tp &UNN/~V+2uG[ȚA,?1m.ğ+na 4(7myj" 3 ]{j1$̷bꢂOr5kxJ\h*̝9+l Tnsq }ӳ9OL<K}|鴚 eR*7ͷ GWz3 ^{AłNQ%ќW|X鷶a3 ܡ9%~FYVt*Ə71\+k0Fɶ6K if.]Zg̍}r_s/m(w}8iXSb#ڛם1Vv2u՗~~*>mOi9T0bFJ7qY(kwI?ٖ/& Wmd.h܋ӟ{w}ge 9+/NCdGK)ޖ>U)}-wrPV:9N":A8%Xl Y+L|qE`ΊK)6\3cO :pKn Jk58ËɓI=c4s=C{2m@Nl80kh~JK hiG\iDO}2,%U"_z98R8;xcyǵ&v!6or YʦKt6 m,5h؎~Ūsl{SXs,~Dˣ,HRdxEJJ8JxRJvG!8 8F@bHq.l Off46Ʒ9De^+sX=ynve nj*3Q̔,7ՇRcKUM1`q%@0)̍iֆw#r{bǫR8vf=ϒ7fXMT' F|g*ktSyZM5o35d'H.Յ6{•hYlc14uO(s⒐r dH4{R B0(+2[*m>l7EJ5 /Ԗ$GjrOѩL6g 7!Zx|drqqXæcZ?&+*%ێn]̈́sx]+Hv6!uMxD*aa`4FP|E{8\j8rGAv.Q zD*\1ۇa%3AM. raj-qfS_/RRICr :ڔ?QPKc4GO 5[7!D_;$VZѢhvn+mu2Ag Ns9=w, <2hY {FyBԠr;:# Hѥ"xƅ}TqZiτJVL6Itr ]Ӑ1n-0`=H5zlೞ' dQ;>(T^o4%ʞyV{ޗm&%}=~PJ>@3ba`Dc:veD44 i霠#*ui֤;ǏCpgm8K2Tqfq7$ s"~^V_pW.:g)cl A*:C곉ǥ;58&eԏ&)_'\S9'5ET0/o9LA@51#2Kyӣ_n嵨ij1PH/qB> 8xn>#rOL+q =7.[ 1M*RK♗N?3*kb Յg7\m8էwi8v;m׬%rzi~{6Rm6\AMOg)ukb`k3 >͑Uzqb{9]p7kW(nÀKMX+D>kfd1ĄmX(iИbuSw XdPp#aP'sYCװtj;$؄GsQ OP9f#U%6WVj/stgFg묧5nc2i' R=Sug%Pv>RҬМ>)8ݒ\T—"rzek^y2 ڠ ̴2{ALz#g0Yu]wq:H+~"nGC8ǎ%:*};LĚrIkw g2k<M qe:z O>LŦ0J|Vʓo΍O[x%xW {qi=m#*~\=ʃE&*^F/Ly\L}M$)aaxk1]JXҨxJ\pgFk7a oNgJ x)^{I&x#G[32~2є,;XL=ƿW 1=ɜbp0LD`Qi_ 3/w%vC X' #}ZK]t98CW ,JZyD(;Da$s4!0[ҿAQ& + xh .FU_:M͊?H ٯLr卷{Xg)\bK `ʟ!;}'21ruhʒ^cE c#ߩ j^_ו.4D Jdt{VvA" 0J&j8ڱhcSWQKhdN:\oWrX^sҝ"O vZ=a1Hkl M '@\-ަm M6]G,ÕHL12hhAR ?*ޤ뫽 F{_e]?\ԕdZP+»vB7Ŭf$RRqX#SOA#U?k?u׿`! _Zj;J@Ij#Z\ >` w[mUp? 5Dz+KlN'ZhvVN4Hy),=[ H{_ǜlƾOziҾsƠ6- 0!cիNsAУfW;APEo@)aV~.Tɰ JN'<=#5rvZ:c7 D\y~RMygOk[]gg0ˍ:~rބAoFLaW6YSi0kEa'Ģ%mSela lz\+T:QS^:gC6XS>3v3+I`" 3Qz,EYܒ<4S fq+R]UgE"v Bi{T&U\ j=C1aѰҗ0:flVy^Gf})gr0R|~x)f\scG֍t}AsrJI%`syAPS*7}fk^ qW%dL؃SRYH"U'\@hJ//[v7~T۟Q([EJu ҋoZn .Lw#Xp(BЅ҄dkz];L@]q0uGİ]soqMʇ= # 3lRSp1 SMY ̐)/[0Fh35tۋ%kk4d>'."b|'݋V:YsǢ c垽ӼȒ]Dg滊Ӳ;}~]MǃcZlwKѶjDy#zgZ݃dY=>̈4YiHSjW'X`ld1{:]3ei/72ߙBpt$@B(pIgc#xNbIPՐeG$ħ/Oqӎ&< 73/;85Ӹ63?<5pMOǁ(+ @+Zl9]V-Fezؤ"{RVF>< 95aH@boA=|;l<9#`.FpE,= @θ6)\ beB8iSgp  В&FٳCL]tk pt5SDY"k9R"0ItW@HLZQ$MOuЋon^u^:?~XG>CYy} /'pIs+Ą=P :ץ<(Րՙ;v ۬`{$u^}nRJ*6" 1;cø#qw(PF W68kC؅;OVxqE=Th4f[itKT. q>*-2bvӲ:1M!_Dl6@b,/>'! $_s$qU%G'i,Ī%lS̤z絋A9T0[XXK8iphٱ*UfPK:kɶ5D]i$$F$+'71(ב%i=J>hΗTp 0Օai#zR'#Qo;ÏsmO4:py@i $+ݷ0BD+=pӝIÚx[l wp<'Bȇ8B$GvBжY,mŭip>*aEjh @F](Qʱ=STΉ(}NۆJF3`Z- ~,'6#tùm{$$5  'vs9"B=!_$HoJeXyGyӱ5nE,.LQagg 1E23`A՛q;[,X pB84Jb+ x3B'Ui!mSI@q.D1vOdNE>1 [>-^X(.6n'WB8d"tHđ l\>6;4:5 JU-yT\KGt{RۋTI} }m߁{ܶYEJJ1)3Z/hb\QO3~Eľ]yξkBxt tZ ~|0jO\'o:E8GAXfUpoHZh4~1͏}ՒR{oMR)hߗ|ڔSߎEVO)15/Rk.hz~y6 $Sᒥ-Ljoq4լV?k'лXm;Fhi$A gn1e#b;\ oQ{f'q'C>1-XM)O#O# PrG72dCgM`ڒhL!Faؙ=$J[S8LJYRɶL?'U6 |O:tCgh>wiFf1L6zvK lYrzeQ%%FYT]u󉣶zj ;}fzNoAZ[^ `NG0>a>HX1N|,೥9^ н#`ރlcE\ҩlKS.M{fp/P O:ܼ@]y#YCNS2z2M L83#~M8Gܮ>9-7_-A)ǹY7) }%FFGTg8\˩'|W^ne.?^{ݑ{ATM&Ջs$DP(꬛DDV÷/0 @]R)6+HSs_lEz e; (=xf<sKZ7.Ka4R|hs*e{tvGwSZyt[3^IM5a._Vod? eˬyi֕峓F)N$V*zƢ>/2hg̈%Q3"6mS*Ӄ uoǠpQI췤;awWY_bT\[Gk˲ T֕0J6#p|SAo{ G'}=%#!?#MK_w9K2fiO}ӁR+’##a(}u4xLfyOHS앋E &_w-'*$AFCS'J\_WG4FǖT0Y7"T 2'ZZLa F8߭={tE-! dYh)ŵ. VAξyaYhj<ۻHJ4^~bQr꥜&2nŗ(/P WοCAdvx: Rf TqѦ@N||UF QN)?*"K<)9,UW\},GڸWeݍbxX( E:>;7:kȊjf/QD E"E@E3YsGS4NbF$1[OmF7@^.%)$ü% _3$!|p.v~v͓8'=ċQPY*|%xpd֑3^.醘D:[2p[;#l)hu#۰ nHEZ,LO62'w;;Iyē{UpW4>-xW);yRTqYYUUdʓmݼES𤌹8ejGTy~d8_߃>֝?Gsݜ@Y^vg eΩOx/9\޼)~OLC,nࣆΙox;o>|ՠC磭 ).U<^ۤ‡Η:dg=,x7G˘cFc++ÐdD17⣺wqJB.:&9֝Y ÜI2;3y:S?LJA&#7a\$v _ádz3]0>4  Au=9:IƙmxsH Qly2t<:I-, pϓY?Edn*U'Dܬ4GJ5@̩&FݽaBD(,l hYzF"ˋQ4^N 8|XX{):1/^t^8$NΨ$6])FmKOmKSlΐ{7uÆ sn&2?{2fCRz 0UscϑMpmR}Ѡ@˺99:an&2ts 8`,;5Nstd{qTq:š81^fj-5&aИFUoĪT{ȯ>GRF@O.DXeu]B6W)svgrqW{hw-}攐 LȔ ,̦Zl$ToET?GMmyGWXDBOɥݭTE7=:n\dSvS3YT$ްqQ:c!ߑfkѓ|gNˆbB9 a9@ָ'^X[AF6seMY猄7v-|A'C/UnӃbZvG(kL)ܡKm4ä^BaVu6Sr#RX;%*Iǝw`S=]v y S%v\N.Ϊu)>#FY0hz!||=o+ J)jWZTal$H7#FL37W@9к,ֵdr+F[QYCۻ4!pM-fnWR# ^EfvF5bNeaVWO>eabR}?bj(8lDޟ7>0,VXg &+_&E{J꺆Yo9`#̽prB7+m<R jFrjRn_U\ZwL&*lf*7hRX^if5 lFa[L\9!``u6g#EE3;܎NbA؛4+T]Ht#Cw G4g8٫})xh 5jĸlEt.El!$FoP%w_Z; !l~MথL`|#$L,nU 8ppO(K1 Be3JF˳r*-E~g;K,C~G'dGT.фݝ5i݊Pŕ9[@ٳ[o2 N:X`)ȺWshUC͡5x35o:c&HRJ8n u)̿y^e~ UǂY87@plA#9\k>cud{P~KWql>.M另NX%)P9JXVlJPMh^ R ڥZaՃ˰.Ri CBƙe,i!$)\6|ӏ BUs<Òb]3Y:a?ȕ8OZczP]M`̍M|( 2h'qf tSX{@ xYd`!N_t )yǦO&ؘp(|E W{.mf\E"gs7 *j^//1|HmifB5{YTGQ-fL*чBnjn dhMIl Y 8yO̩1ʤ{3VgZЙ5^΍mUj{eQAU1I (ʙ?gy 1͝"lCAq%jn5 p7\%bp!2A{/nXC|[mk[c&E_h :E)U<.ɧF{y/owMHkc9e#'~ƀrjb\QR@g1EzDт3IHғ2G QlObeٗ̋Osw(r̒<铀m>pH?:;hMdwjaذw5ܵ'3s">k¿ci-#}F5;^91+#dFNeWcn<3 cvμLbv6TX^AvS]Ssa]N'a>/ɉ1UL.\4\lzCi.gm42.y\{ KQ¾v fƊ5U51ocbs:Ʊ@ߤ֏r;pI<90 per?Σ|hCyw"1I~ [ŒK0\&8aTY)=&~hϸ%vɌba @&S0BC-vU /Uo6▮6fcnBsY= AZ b1l +pG &h WRLm',g0%&ˌc+tSڀkUro 2rD۱jJF|GrF8yC Q\aLjttiJT+88N)ff>N$p 1gGMssQeP:q9ZEgD~g3K Lnܺ~aԸTi/DឡP>{3kҿpuLG UgkCMd٫Q1W}Jp/؎U.۾E^[O][+S0Rhѩ68yѕ_{IN* mxͺGZ TٛS6\:uCrv͉iUa!ǃ(]OQn otcll"%NJD X~44s8#1>6c;c3mb|4@5ɬ ]c}vԬg XxôRkT°k>\Jݥbds7AǃдEmL-;} {sn0ۿBqV.X~+ƀ&=F6T]?9≼6 Q/:Rk1: rHp_1@Vy #@&6oKd9]iubQxJ"&8;i.H?8kw kfD3ZW& #% T\Bוb: RCXQ3 QFLl &OfiNe EM&Vƅg2e_K;71>bηߺk16rZ14|p;c`rwK1×/*& &3F+x:e\" #1l a70UUw>УѬC61;V+Z)Kv/< txJ1)8Mc/EAfC"Td@{EڨVzSv`95@sV'8E v;J;{/s&-[bX\9ϬnI|gpk `z a: Z?QѮ.ʒJ/Kv6ɤc[ݹc^y\ =c{*(ݨ/= .r\L :ɭN M5>U<Atr>A'2*5V'b#~.*/v(ܿmbY}+  zfשQ9+ZV4*:´n$!|/-_~Jvf?kCQ%όG3W+eFhÑb`UӬl^ey)+IOs513)[ +%:llpSyd0|gNR6\G !j(SZ7K&-!?{c"J| hJo1 S֭qUpբ"nN:F>HS1mYK|kFjo1:o=\+ Ιᙝ[T}J[4`u71&K:/"ɐp '5kW\**ht.^vB6 2*'ܸ Pw _?PdȶFO0އn(OJU'BҒmO!)ؑ:a̸֚4/Qrw!ijY,pR yD1?'gӶ☾o6NORٸ +ZN,_zd-j䭰Z)z4~hJ]IzQh-kvD9M< ,W'(?BӦ0qwFڜ^x]9VHfG}d<ӽ粽]mUF\TdmPh]xIy) 9)j>SÞXlE]R@dV ׬$ O7~gHma#.ؽCNn^:zn8)-GpNcϗJ[ fhUӹܿ 19~: &Z&-6I;d><8ﯼV, U-.f_]2i1jE!\:C|}ܗ9aZf\/()*fF3/&DRA*w9c80Qmđi܃~\ Сh. yhLѻwcTa.l݇сA%=[$%CEi~=ufkT_Y%+.ۿY?=ŗe"V?+ Lp:9{7B'v۶e1W gǽu_t4Mݥ2Eщ9gsˉ㞘џd5"| #I8w(ψWy,f,0'>iIt'5=ɄO}NmOP%SޗC1\{oS.Ru{q l`.p]Pɼ7>xLf̫(\Mo s6: ^Y Od^G~PțlKFJP ;1wm6GI'-o~o\n)Vl)~j~ kjkN Ñ9r6ђ$ (SAC b; !0$D:'ENs'0$v!&ֳ+`Ob>`*BnC.]4vZe18x.b5Frd3XѸjh͛~=:ݗD% ܼs4Z|z %k D,=Ԩl_GϯSm uw-:WolT|mQΆNjaap9n삳>F" w@_aX'݉dd?Y>.'1͙/Q5мpNT-ؾ#du2[j_g8bp 6$wͻµ!;ګ3Ni`R͉+u^= s:a.ദe[29L nF%rĢ|`  Ϋ߅9k3 9dbָSn*Ju-C$Ц$]L(IV(*0P!7ˡBoc+R6~CfLG _'5Ttl+4ܚtiOs'C[gV([P֖OBdi#{BISuX)hYtbl]7(Ua(r;. x?sPaD~HCS[ry(nX@@[-'V'8/iZ`6-%?>B`31Uphcؔ2n<1Uz0=W191.X}>6Io_Qȡ(,La% בQ[%*$J.IGT(^] 67yI'{Ցv?/Tbtew;fU\ǤQw3y=H{˻k{3d(7>dFYQ/FM9ϵPg3:g)3Q;/@;n<} G\[>Z<BXإY롷Z|gRxΔ 9 H?/JsꮯT8mR1BkX䚙,kJ_#"po^4m3"^ovXc1Xm!,U@ vӛLX!x@-8~e#9̼CKSrIԒ9Yoo.5ϩ}Ik54[sg*Zp=0==cewe-b?$Gsyx[4+!E6q.b(: ZUjRəkO,}ۢ̒Mt s I>/0r)CnZ>(qX\@/K ˸[B)IWzJIım,IHT'%XD$fA`C=`F*^noIO@Sz~u*Rl3(49[ /xf|5H⧥\R\UΌO^tHԚ ;wψq \ P*x!į(ʛbh;>nګ2a59{ u'Mef縄q3#, c%az{18}Joyd*{V砢 " (54}S i!ė9N)d<+zsR=9qrG1GN[tcQ>w# %3 7Js-+}߳L$~GM.AǒadTm!X^ Ѝ$*-0YEƗ jPuѵ/ \E-0u ;9dFN Ol'j/tK:7#kQpp\WJR?lɴu0=!\F7yQJhE]_Δc11,E&yRdWbg9^fz9?P"z5OeՃzb]O\RGPxŐ.q!;qez[PrF;Dv5U kRW;ԓB@rb7H<1viTl ӻ3ޯt *fj:d<*Hߒ-I"0Wb73![bu ,Mǰx|,4@̛gE 4iXUĮ@֝a8qtnK4iS0MכH`n˹y[ M=d.*0oSk@FϦ-$uf@cؙ`׬tmXpn(Frs30%wKKao%ŢTECoNy>#GdQNq<.ВNOЫ[)Ȧl5qbczMC$]9E3c U P <Ǧf9dUR=$Z% G"o]V^qAmj9^2BȌ)`w8HmOr3PL96Y$Їa ^!,d7td&%ډ_͠I,ߘ3 N0Vz^TnR(EObN@=T;$ jЙnŽ ,^XVh: A>uĬMY ǿV}k5X&c O25sT8>eqD?G" _ếΒW/Es7A&Y-L <`)j=@;fH9{7E'y>#є=a D'NR}*%<.;_3$m'hi}33:H9}I\ î!:0ˇA`n@IYx`\SoBYTYn-Dq-CYBuO '+FW3ƒ4 +:&7ҤΪ+:Zxw A{W4)g<Gd>^i:hKbOkFˎc -/lDxGp6`$lA%jl}"Pfc}e3yꖽTS4g3-٣|bcU5frb+|Pb"g=yAսxi#@o|OXEDG"ł̴JVB v&zqG aS.AUk2<5eԓё֑=VZ>YQo=ޏ#"hwbW:żRE5sxkEQMY 䁢cpfBrJ_tCV.P|1wk0<C%vGrWFb(p%1ҏ:Z*'mfoWV|Tn GJ1\ 'BOqvbӪQš9*L¹;<t%psO V3VbAەrzSJqo(n]їL^)@(iVQ|0{h ?utK14tŀ~Up6KxZ}SfP-9FCR|FZflA%#\ќiϾ7]D[P}kڀmh&&*)ƔByŘ3itD8nm<9?@ Tjxe.\$ů cOVtu} ?Lk2暬 ٳ x1cr//d2p?isEIj(Ax\gYN_TϹʜک>f"# x>եPYA;(evȑ֠[7VkAMQHRE8V/ ea3X2>chT`ΕHywNk# 25Y}us'Z+eɼ[Dq jJ\y4jh3?4'>Un?7Ʌ ,g,.`h̃ݪ8[!a1I&]--Ou+w diQњ7w<dUdkO_ã;zW+4Y~^qB#[I6Wʟj!i)æP6/bV\د9p[d7Rf4YtJz]Pw♥ yOW%9$v% .iWpc=l L(SCKZ̄~Na6rNal%5ܻ׵n%[抸OuoI yKEA?SL݀g ~?i5dEx"?ϊk !yѴ}ο_\jyNZ/qM@0~4"%X߮#g/6Shht#w%>B%o36jofl[3UhԿֽ1:z#d\$3{h-$/CA/`AVl?\_J_c/ݝ_խpaofѕ[H qrLIa ́|4$Y-Z )2V9fJ[*\}tf o;f$I=hod+-8h,t2*(OXL,9ɾH/2VOh]U$fE$({ ͞_V~fᛌX{1|Q*7azdkX)Tl,=8,;6oniYs7` 7,~ML@<K&--ȯ`dC|y_Ovv,q}9x,="dѹ]iFн`nX/f򈬞y8~om2|P/K0ȫfSvG6|e>P ( Ku fwI #_6aRƶ-sޅnC?0ͅgY_5T6)׋J+8}izع J߲5b40_?ILGķuHi}$bM[<a@6%aXI?QJ!,D:L"qF&Jq<}H3`enU=<7cQ+Wu̻y+lK/W!ԧM2|/_j3Q<˓bJAdm7[6EJs<8&Ubݎ2૗Z1_d jDhl7ip˜}5+ㄎ<#p"PazQѽ4[6cT"*٬Y5Ns }߶I1ꄉH hFF5tǗ,MXph^Y+=,ATq/^ruy8̞ Ͼi *"CjkA!%0czs/_l5;OJk3۹oRՅN!>ѭ> ӷ5AuTI3BBGue;8!5,AZ_G=p"n6 JxcDA-0"vKF4xM*p0_6gf8|1dO1XW;F4Va D^6%] hAf 0mȭ p,rI H\8ߢ@#pl[~6GsvZ+aUG7FcC->{gl$ąpVYrG8Өi\UԖf\OQRg^ Ê3T0CgNcCvp ]B@Fmq*{$a'!AxR p+1Y8z*ݎؿ~Є%am b͂fk 0WB@֪藁& Xg.fVh }-Q,5N}ѩ`||X'ì௺Г&Tp|jEazdwryP\qݏ6n3 Jkb& A-s ڋ&LExJ(Z;iG^, ѱ#B, qL64 ʻ}`QݟMo<||놻vO1S'nq<ځ$xxҧNZ2polzHܷۂ Mntj-[&MA]ғ=!AqqC~)5J3d"ϓֹµjT:[{ X ~H 's[ "{U+,ǹlƙ:gCb@N) f B{pP6FG#5JJߕxs:.}fd%Pv.c^qHIt X~(_7G5)QyM:ާoqgC4ӒGQ|saBPeebuDP./CiDP'>'=^԰x f&,7n +yLmx U__/کpAULE0oK%3Rnݴ?Iu>tUBɵ9Ca< j {ݸr?sQu,9*gQ>벛K9Gd*7C&YĹ8&qhTvh̀YƕtwйeE͉FV\ȹ kiKs>>^g܊(n-U*Y&)0,qoFb дjUGe-* N\prk./%f͙uWғY?l ]CTo){lćt9EW"#*87 oyJO^:=!w >*">k+T]hn_EA_PBf_u,ltPX˙Xck)aBsZ=rIpRjQu}SK:.%EC2'gn[ R^`];^8yɾclSKMZ)+R3-oA9]˼"}#}wchonfKq;6wr,$dpXWY .l_y*tB+~ҹp<rdB*e=V?UA͑҂5 0Vqd@iGAɽs#wZX̵7\X/=ȿIչ_KtN\D&[FRqp$kfL.{aOתyVo [ώ5P̬}RzϽܢ5F9G My 7v}SI%2Axڽ&ך>3r3nw):;}C8k|Jc)S~9_,\t$QCX} 4?Ѵ9 ?Ql1L1IʝלߛQqO{R>)OpB⛰ÃkCF BP6 ;am{e,_@f }v" W5fآ˜ x\i?.=$QXϝFhXA* 5[ț!ؗJJIn˷HbJ-&n }p$I#k& \k hVy5%|v>>o dkvWz-MЪY~V_`R18+ڪwmcF {rԸ;܋2ۺUa }r[{NcYFI0ID-^K( ,]?pL˨l]PcԳ |xiN;sOrRV7Ccp!=DOLxeʧ(P|C5DdՂa9 |DhkF۪D}yH^v(#ja=$Yz ia1f#2ܗ-,;QWߊ<]q#j$i\LKVU*_"}ϧkS6FcKVFa2a1AL LLlWh(x \jL n{_`g]7ՙwC .ᖊetPcJ2"7tq7[UG䨔+)l9QfXq4{Prt9m\m7y%۹&&ıA2J<ѽ`C*/Ζ0EHLg{E6Zr\? .j;<8صb%`(l 7[\iP(cyZ?~)TJs5-=1݌s8R&l{4hL-kϱL|5\paUj뫑ߟdJU9qf36n0F%B#5`^5|*Q7;,?Y6/Aϡkڰ𗚝%/I/1veٛqgs8}+8EPE?r^UUlHa|Z_sO#7oTi_}=?t SH>4-^>"v9%\9F;=755EC㴼ܿ}~jSfB0oN/.{GX8"#`X Xf`z񫏱gV HQz YrKU!7kN@vt$D %F_Dm!-oP9!FnpMi9e,8>Q iL]іya0o} !a  `KDvZovqeڏ^2lI 3`T^1b,xRd٥Njx1Nr89ˬ3'-[Ml%xF8_ qͶ%í9дN"٭)̆ ;Y˯CR7Cld|+̘m:z݇Һg륎WYѱOUxz]c Q?;t֧H V7O3mX=a1.N' WjZ`\ GXp,e錘ㅅJ&ӎ=ka` a 5IY M5GvCDa^F[3Pq/gP0&@#CX2Vo7y>0)xb|q4>7q.&1ݻ2~ʶkzbIsCk |7fI3D"IM`t2d7gGjJ2L1Z;ngy[h(K_in)WKԩbǺejz(D)#CƱ/x.7pDT< /1a"TϜ9$/Ё젆G*nr#yÔx.*ܤnjyJTO̫{CwsX/)aZ/ rV)%}kjʦ_m" *[^ʸa5^Bup.uBOcECZ׃d[h a>Wϖe {n[ײ+Z@L(0qCӯpDO&YW!tc(JAoO1djxп+()bopVa#c]A\LV܍3Hwk'ꦩ=Ȑѳ;ȹžY-}i 롽\Cj*58HA.p!v拆rJuW+{ r?㠢Q1y^<_E;%7|(n`{S0xźŭ+bEYkz _+l V5A>L /N3Eڍjx )yALpiѥq8w9 j hV.4 Yk"SӵXf9'>^[n_9m.DMg*6@ama!|{O:nٕRW8i`'3 _y2er+ePi cj5vl=iVgܛ*\<)6,O:9:4n;d ZfurOutgf*nwoKhW0O hQE9lb4NE5Sj(&f;l=c"k2yQ' gߴ vHF1XV1Cy%t0g{~e$ivluakϣ$\$O+zƜw_fqOJ'ivyvʚ;?07KDp;H+M_C½X2O%iWn'l>hw4qAO=Ux5W*G<\DSV(Oߙl4'4bJ֟C$f$[̩^6%!.EҏEt ƠŸޟ,F"`XRŸuI ȣh5:#>c=784':K:]Sp1! `Yb^p| 0t ˌtS&QGƋ Ժz|[SnI̋QQ2ZO2u6,㽉K[R8hѴ[OE(}9td4qsYʀJQ.etLB!׏0˨n$1ok 內ǽ P8M2JB5V8Ҿ۫eޖ@,-b=%?:4\p S&6ѧ3J>%ya`hS#8 ڤL q(+<~$gKLg{B>cl<6*H<[j~NXRJB({cIt]IjFKk9"*b0Q?"[Zzuy*SLKu jkMIkx3t7迶ؾz%>t_XT3nY6`]2ա$ |!δ~ $6c ha:ml|0β*ըXߪ*8k^̥*NiiAْ쒺r:lE 03.ve&"*oqeER-<{BѓdNLWb_F7K4g%EmTwb(.1ؕKT҃qPkYH5"%D[F&MT`d^F 5Lʃ~ +6]\f<=-TJ}UuWPS[mGr FO%<[03 &Ey&Ŏ Q'W糹9̌Xl9.#H_;E!lX~9\N*.8c+@d.gE<GqqXWC >㱻Ԧ\ 6ޣm9O Tj4/(8at$gr/ľA5.DjchZ8Z`F: <,/go(tqmREn#聙$g`8Nԥ{c7eN?JOa _tYsLDI\Nʎ%# }0_P#OUHAhyC-,Ӷ|2K;0<_t=/1n#*U)981ˮ.&ƚY6VusboUpp6_ h*- J+4Lj*%9ab>}1IN~p6fSHq\/P>c8EKG8KXV+_G}9H3QM&DMYJsk/y8'rv*<ն]Z슃~}OVQLNX\_TȬXl0d><yo۲)3*_v2d죙=)^IC/rOD,Arcȫ 3`erNH|{ExWUϯ fǞ4ccE-AT$C"^bTk 1ޙgD_9rj^ J]hCfb*$\{^8<λnUFˬw|-8Yn~=LPj0LDeSdMo#m#n:Y顷f:z)Ѡ2<$}o&)s'n|#{JŇ{2sih+:F`ʓ$8ӂګ5G+";Iͪ;N}r:5Xq<_XqEIeBIp'}3|L:/B7"u-w6Yda?1M?#Ry^Ȏa W ^RARsrv -nZ/QnO>uF\Y͙04cc$7p"Śjp2-V{Ls/ԚpgHI@Cٛb^Dz}XhrpG6 ݕ\"/"uHyy$n_ӽ񁀛 OHohS>煼Vy$ZF6[scҋ/YwV§I6cGH\UPQAIf?*J-"ȣX:ox`־|]¤ޯ9сY~vlx( XiZm,4L&R2?vL!M6>s(-S/VV ,2b3UAђ=+)_nN"#iԡ蛋&/۲ L[7h=32n>% 4K vc"İGz]5kc 4-s5׃zE[6;2E*rn[N4̆Ɋݯ. j+r`tƏP" WY#i/GvIA, \}U( A]2#qv梉JK,'Km5leqN89o `7e[V;5Tidu"8+ݖ%ޱFv%ZAQ܏4bhv~V<Z 1dt;V[G 3 be\Uї3(a4BŜ>R)}L"<O3&I^hrdtrB՜.HמéCL qTGDAӣ tws<ߔ4$y=9N9brg/@TD–dG#VMfVKSxYzv^px;A< >6ޣ3|֊qRBtpZ]tQ jb OW5"@d+`J괝 ,چ'ŭ鵦$_A?aQ{W!`dH1Y-7b4Qv)TMЁcmS9YKC겶!vw1hǶVu˜=~~ZOx\ orCx?hre45RSrd(ة=2gikMC$)C W<@e@-U Bx9 wlQA𞋿Wo*F\.+ :ݯ"&>rX(qWOeC_us~F%)sқPiP[rO.f'C6Pbή:bLPģQ3i}.T[(Hځ;9Ffd|NݦY-"j~{3 S(VS4^T;Z`uV&@k6ّ7fd{5"HN]L.?fȎޞs \H]sYɬ%`+a'aA0fn&\I띹7a<&9> x!t9 CP(0Ň&kҬ?Jj^8&3J7kƚfkt:!/6uPYK8{@*d(5MHa2|_⁘Gvi6͍di2tۏMTQ_BB#!ҥ oTs,mX(XS2̵3A-+ƆSjw #&i.0=f+LI*d9wc*mT*zl]E)c-{O.v&F^0, `u`WXV½CfHqD0P*sa>ȭYv%!ȹkXc mYF4oPx/ܷ-Wx_+~XklXޢޥKO1J-Իh*>j_mEFY{x*LECJdUMU/#/vLi?Zow84̅: ItڸζGA'I}U*F݃aSٟ 2`.KŘBy*4ٱjL3qՇw4_ sKK~]")O#u (r0C:Э]f X&`J9G bQYMʦ .^z6֪X[ޓ!ա~8WY#6r)m7!:^_0Ζ?E9Èʿ\xClqEniDlfT$p/Inɹk#GEp[wc[IJ5e&5VwE)VyiE)aT'{{m;|.H07oPiջJ]HO&%$cCY?bU7 l94M_jA{» q,91uoA%JhM{]T7^W}E.r˧tk^ UdBJW{7R~#[& θ2+ؽv-ͮFklGe> g>舸Itv5vY#f=4wXf?N83ps9p >__|W]LzpĪ3 *(e廇#JY`r,6 [Ji P0lЦ :f1'hi2]A:Ggρ%ͩ4!zt0]P#nAKi)(B,Bv(u,;8 MrF'3851S oCEBD2.#+6Gre㲺4rWfMc*;h {Sr"tEQ69yRleZ~%gs9h@0C&(r}8dQIfScM]n2EBmglՃWe{v0pcgJ7)b5Y-baqFw5'&VdS[Î5U+[ISU񳚔].Ig Vv9a͊S @-l(OlIqn'%SGs@`pJ hn͈W_Ǫn;;?/0~㗈[}|k̟X~ւr8n3 P <x>wo6I|1h㪚`Dn/lT-I'X2s@n84Ũng5xc&)I@sBt!_|57z6Pٟ.N`4N Ğw4QN87hT Ñ0[3ZJ8 '$#`½ Uh }%i*ߦeAgsm!H9&u5.- 7cKߢ9.Wiu#5ȵE>LvS [^zܐmJ7_cJ߸-J^$b?KR"п)ۃIqQ sf&9D3|xMG]-c FyU~G^?]zu+OO =Վ"՟h˶=rR z잝VG~uRnB9qn\ |XoƵs~x2yUl=u3e6n?7vqq 8?w1ZgV4mE( tc؝<^'9bt(JRA)(+o*8-Fmy'y QNT\)v?wbltbNj/߶xh7P.%Ika2(B82XyBqԂ{5qq*UҮsDWɮhFH[>H,̩E&2Ѳr +"aׇ>>@6. #GKIӁ ъ.TAnTj/*),;)zʩt$F_XK: \0n|@rm,X @F#X>x=F7-{f)%$j9.0o5W8` S (J7Im()AAtZl.@3k2ɓǍ* 4EOF3@/dBe6ºX4B츯̏.q{iD LhamBJy!ԿFΰg%Cfȧ=~~K^A~3&Ә* H#[ȨUKӉW2#~ɻ@׵ {m=οHwE@s=o5`˨pJ5%3vBm&u|K(ӭe~F^qug18h\N5W t#7||M%'d;Tw6'%59}чeCC2tA;Nsk(٩i~7kpeD>^ʹ^ɤ)E0?Ɛ%y<$a4XOw \nLN{m"Qn>e943Y4b i!囁2EK\Ɣ!i Z hO{uPpJ|7gWݦYހ{(cꩊK؆ tOx]FZ4 4>%4ٗ41g/wL/)M\SB*=:}av/FsIx@l{l2ХfI&ΆYFw4SU3ҹkK2V`Ne2a!x|n"Zޤ#q;`‡>]耶&_hAq]+wiq_]!^? EouଟRjxx<9މEB߬@< oJ3>rAȰP'użwښ|+gWaD%,8FFɅQ`5ʰyg!I4" By82OA"&mx8y*i6,ʞ[!W;!Ը@=k`)s5(شlahrUF2`ƺZd ;(} $=h7gԆ5q`Z}_Kɐ='^da[o~SlR^Jʶ&Aoa%A AI7>vDRbN^pM 8&:^VkO[#,J [Nފ1k]WgW-'-@/؇,&*}:IC3Ab4h_%+VjT+uS[ U9~,o8<Ư crp TC'giеkil,pG:N^.wd֦ZVuy=: /gep:Px!Z+Ų d2ԟDsIn Q_k]zG N0\0">ѸP /[u=A_l*dY n-FKܣJ߷NXE\X4:/'z` S2tx:qbF"?.Z>owOWST0))( /tF$חdvmDi+K$Iq~:!@x#RB8"W|I ۅlp>*,3PG`0RƣԠ4*u0c̬].ϷA4FX02.k,mTV^dhqG\ (^"UA Bf_41pPAF'l^Qy7 x8&C*anJY`/׾|dÑ N^MLtta(}VK((nRdc,^~{P!h'cmdʴZD/ swͮ|T>OMPP\ͨ鳿z;NMH2Twe, 򬟷 rܦxfJ4]j^s46B]f2Q4w,7}*S>i4EY`6LpU Gn3Ij,J =#zKM Z-"ڟ%j-qu9N͙[g0cMFm6`VKi[Gs.=UKQhEDL#y 5q.۬u>Sp(̨UuK}$l5?ЪCcxiTY?.,;;(4CW3&,pW95ۭ¾MavYşkǮT>f3HGn|L@juyE;h\EpƯoeZ3(  `P]QM {@~Fyo&*!YflbtY_na6٫h.h2ƢdgBVGL7yxڸ%S4\YeGCm(:/F.n 0 ʱU+с2"i}:\7ef 2m9]; eSuXǚYY2ٹqΛ&E$ʙGvMA%,I C;!X ӄ[@mò>q-)tGsuD ՖJ0cH\rrӁ w#3@ímЖ3`:"HS}yU8[~~O!א}Yzq}kqՂ%)B|r׳-l<ِ邡ȩqHT+HŎ4CAIjꬪ*-iey ۃөH"V[??iK"* bBv ,7xYe ;Rk@o`>E[M$ "XJ#?H}pk ;c6f'+KC <+Xw5o r`F OW4<7uFh5bը6U)dž̧sꪨK VQ=*Z,8aˬ9=:Ѻ uvͬdV9JfW$Tpg#5X < !ϳ:>k$[E?AB( {7вٖVҘؿpQJ-"HRE$p06}0~\.FE1MTǫlƆ+۹jMs(my}/kf !*ONŠ"+Zeσ_+r4oITn[YFt:qx\ VjR7- ;R^ > F3Q.~{~Z"}(mkwFx7n2 7N/6s4!Nw%S/;g!|U0ԍο,r_ˤkŊ HLQU̬E,^+7z׹x\tֽHް+U0ʋ*>2Dkҏ;j%XgVvt҈++l/tp4Ws ϗ'B4jUoy@Z˅,?|?`ܾ׻O !ct'`KnITZ c GtL\SJɲy~I!e,0Z^^Tx3WOLDEr1 3O@{yTlۚ*HG?wd.o:4u&M# 1܆@UW8qx,#]zb]v&up %-{q;F^壉Qc pSjYT)ꃔyd7~{;Z fYMS8|G6 1Zo.=9O)cj7F|2"pRJw+5XOcT} , dV-Q4G-{s$uߵZVp3f5ȂF;a~&pK/<,kljW3;H>O)e#.iqsE4'FbmSQcEo07h7R .:sQp`N[W2lV*|v\U7 V=1 | `$ˏAT/kF&cn2[@5a7%X/@bMjziOXby<5 ҡQ x~~_`$a22p##l<Z{EH "}F:y/b6oٝ:=!薧ng~I&ʮEWIס ^pPNܔM~B/󨟦[&,z*z -T 魉v~}p^j˗yuͣ6ў~҇Qci ʸ.QAة GsllROV9NP)8 }Bnt]q#I`5&ШjK>73knuc}'@iD̈́ўaԤߧY7H',, nqA@֭$]2pi[RNZ0qs6qMR`ǂeRf3G=oFq(Jf0RR! :d731NB ~򀞇@Ё"r-`'T`Az?{*oNwqyT Ig--7%]e:Y:g6%Yz|#sfjN,EWo[|) ݵYئ?Tɬv|LhߔRd(!G VFrLh&ƧXZzY"y8 n2!`~0< (Ms 8~F05jL{94&2 eN e|qb͡ mY"+(vcgJsAOQr:_DZDmլ8$"KQo[D_Z6 4H] m1'TQ7uM8&eKƻ=T\;Jᄧ͘nWIML|hyx{k*P-sHY[3bȄѻ}R-g>&,{bp']/;/؍}(Ԕ?-H77yNӭP ߚz3ؓ1 uMt>va[ѦhCX}a͉^NZa2k,W-wfi#k,]aP\0=<},B0-Hp:Jɏw2=`s~j>Pl%v!N''RKlwpc޹m׃0=- >^q u3=8I xa0LPg&$z˗uྗKٖ o6 xQf{ d*EBi¼\NO{ح4^D]1 @XGnөDD@T G+@ڥcq'uEJm\YZغ#dcD6-Ō֑'s-X Bf`밳W$baS懴XL@vF8`d.tc}''gy,@"AG!f>2 M ~븨z VYw MqI=j<7sVّKi(P@=X5_oF< YC ?kf#kqQȄQTܦ=gW|Hro_Wm`+:&CQd8{ɯkչ ? *nOl(# P["ӄP&V#_Bˤ6qFBő ڽ۰y૙/o&JWF7ɵ2I%\Rg_08lW Q >pKy~e||b}ЗTLyH H7gagf^Ѯh T֫# "$YFɞSXU]n `G; "_7Hߒr[jEIc9`u)7ߐS]E:ð(:MwQծy2|տH??Nn7=hĭrb*UOl!M#ZFySfBϬ'G_`QcrpfE5esor3&i+oKv?NUWC.yw*8ӳ 3;fH^]LJQ)ҳ\ ,;hE-Pc0OQ(qdltyBۏ{#<9s\)TiN $g \@3`WP4C߀c- fI0e7o.N%jqΌ~i8Kww OYR)7 wQH4P-0ӹ0Vkn25V97x$j`O80?9OJ*ԃkк'GR^ӶTwKNӎ~mM+Yg}B PEXH^ze3 /]8o-őf4Qk 1O:rfy?MF@%QmC?]:5v?L @ZؾGڮy4:lr{k|"rY9kk}ukmb>ra',҇DɇI.F!p:,4~͇kx}PB^!SgcFz?Rofh;)oeW--'xfL0bu[nZcN|S7QOvS'M0ƗwK~FEF:D錥7<(,!.׫B|fq8$y*:{qUp23Yym;c`Ĺ}.f8T۔h7Rw>R4$!?t1EpΟRiLM9A<̱&,0L :SpHٓÛaCnÅH+aX>hBkxwNRo#3'UOG b?I b4dZiM/t=Q l=&z J-(`yʗy39*!ʟ~GB3:A5p%v|nH) Iڮ:BaPKM]>ottӐ1;H 0\LѪ{ ,v&ܶ'IB%ClK N(fyϮ]?dyAȘ-"qf047_P4bh[g/L))cb|T1u/[+2QY`%qmvRj+m8MO>9&2Q4~bb(K/2ZX#ah= rkK"^"{9ZϿ4Q5wT/:d%.a)ީY_5B3N:MkbqqiL~.[\`[y 9~a8ezESjJR*A],jݶ{'Evn- LK0ۋ#;F/ ({ O3ZwܱݢsiѪ [8?5B3ۛwSu8/֊O n^%I,-^B2fq >H;Eh o!,O# 9a}0>gvSs; {^op%9pϵ@e"wUBkDsS2mC]E"#]_GyeEGlL2/[j07~m^lfԔARVӁȥI_G`lO}^/ ӇA&ݛD?C$-'XU`tn?)'(_#6ї=L̥1$qV)徎HD+F7IFxpBWTyV/.򱣲qbE/sI9mRs0>W  ="M]+ajX|e$,}կ?#/d3 La,e2@} 9;f#s,Q̙,a N-Ò!pGP qё;Cm-gphq0nt3>5rI6sP1ByOP6U Pxq M?*ڰYxQ\AxJrz6.*!j9 + c-n[F1f=B7t%Y|sF1<wgwn% ki0J| zWGfli([y#d8J\U9sl':> V^4yBZRڡW+F1MoKtd܊Uڇw->5tr^/QGŮ$L nQ*l&b Wfa4JJ2Fƨj-^3%0@eS7\Jzf hw\! Rz[Q,8pnP$c 'Y˼O`m|] e&@ܨ#Dw>;_4F HTI3KL@E2t\R"_QKm4 tD Zܚ`)c{jqFŞ_6/q`8M!$]Ѽb F]ugFr_O{qgL\g&{䷙_WXSl>MY w5gɥ@ Wcj#/՚~LڪCrbŗa#H[%GNr ӽ5ԍbM'5RP{oh?SSoUb Hꥻq)4LtZO.q_gI'5Th$zviAXbBzh*G7d*7i(eNvLDž898*(DzasJ:oeߍB`4I:wnn\xGl>q&"x;4Q90SZueG/%gd68>b@[vUVfFi x3'uWkg%8?Ny%FRbx% 78y$0ј:R'w7q:ي~|)n[ "ؽ\ $Y_Os{Q1%|pΧ9=R$|F<9l>pQȦzN0(D\/|wk| 9<\"msz.{0]qe.ry2] 㧩^|vq(Z ; %nf bCZ:q)W7iePYdO_eo} HF'y)8"z(1oV7`%zXK+%t\mHdLM JFHɓ]BJK v}DyIoOZ+Ǡ 39)f7Gǀ'!35 xOefiϤXN$43-£/NXB  `0 oB@+վ:>I|ˏ{*|#pv.Onۚ{3r{$>YSϓ) Bѥ9 =(KYVh;W%rxzh}it힖%'oIHF¡>CIQYWt 'ϦT;n_Z}6dF[my!-e`=1׫i`tPzVP'ʃHKn4TKo5*P({?l1H釂C)iiFlZ'YnJ-ۉ8Թ6 &W|>0FCvd,ǜqʩ9]nmd/Gdci>ı yٕo8(>~vn:#3_Y::q0A=̳OKX坴oABy0眻#'0SѼ:kI{>g{PAC7q{|Ƀo,ޔbA& ݔ4ܥtoR6[σM6`S>YEJ)'hڌyDJKrkvHqZ7N4$h}raj]7w[oNwԶ.Qn#/)d;'_v,uWo)#:U2/}Cx}ˡ=g wA{OuoYu(TqS@5C8(ܫ6:&l88i]lΜBbY%L 8쟎ɠ(nyO+>T;͖ _'d>^Q~H'^0\( 'lѨu>2OwE+LVM7DWX1Ju~VJgN9^HC &*|x ',%~ 4K N3XU#育)<0]At`gԞ>ΌA1;b:u]8&j&b!VlZޟ0Bd~ۊU%Id?t%LӞQWI@e,R=H8ZzĀ@SxgDq-Dg4'trQ竵-Z5zh8q%7fOe鵈C!--"REz:",/,%r֖emi+eۑN܈}o/8M41?] ޓib卩|9RkSKzTTs^QfNX/kɪBUDm*>yU3^1^?`غőK$lbNR5l =.fb$/%:ڜ(:^5:a?D^٬L%FSY靪D5-6j| =0.ơg,auFXbh _"S=gˆecg)-s^/s=e%i/ KrS4\ǕHmN'i%p$QWFb*CcQi}݌07{m~Sf0ṦA0#I ן$lWϊ$ۯ%i_=Sk~3^@KS 6lՎO{Fi޾sMCɵTj^w},R"!ę9G Y`M毶+{oOiVب,`w ,_~/"iaBX3BsK0xlSyBjf#ZK!H^F\wFXW` h}7SfV9D>v8Cb,:S6a:OfԟŤjRҪӅ8G UA( SPḇtS6;{L #O1iYcIio; **:츠oqXJi^{&YwfnB n+b4hSzNr|PWF]-"\u>Ea<vd*L|t$v+l wQ.џ,L1.ԯ6e#7Y.,[[W(w Sj70^3.²9nAE6%XgD5eb5a¬VM+ }Z};ۿB*7yT-׸R>.%H{v((>Ջd0:Fk% Xi&?}H7.̜nCwߥR0SroVXbRTz": PL޳RTL,]7Wjs4L[Dݓ?yL"5Ň亝Ѕ 5ߛgЗ)d59姨_(,,oL7 <*;_+ޞeN] QYNZ6HJuQ&L+;zªXP(4`LۖkƻEa A\ #zxKG;ftQzN4QB$,u;7l,1\ y$:_у@d5-f ̲vM>yQ!pB2$k=Ac#i#\p9e–yF3G?YLv`UPȾBT bl;di a`|72KY o%@E0IU6;? @@^)"]O @MextE:l{!afNA?Nwd)s}utҐ_'/)\0GPwJ8ge{:1 Ub\ *ӵfN.sK@G$ѹ\5Οu,^||pah#37&ر}ǐRßp75A4 Cw%''N"_|iϽ}(eMQ)s:fghE -eƎ0Fh(QU RguRT <7b - g u`^GtWh]^]ɐY4>J˩жXu/X8@ *mn0MDhȰMrM0sV,Էg1^UvHc~,6Svҁ9jS(*>_r@}RRԟ_81|] =4G0~K+C梠f8V|\Lst!-5 -] Ĺy'-JϣcŽusElj7Xue.謰s/)-a\x<4I..ɳEI2ٌWp4+)_iT !XײxhL+1IױؽNBӭT3C1'E0 X;֫1kQ.CkkF@ꊰ2z{0fA3̐z:tVId>:bx=SKgЋ_ 0lqVAq KMKfU\pcMedE۝bU~dzaZ>j7<Ń ,X1 p\p;hLŖ}iU3Yu6-Vt~3i=UEUiSh8(4tt yy4v,^KY:3/v<c]o;eW~X{n"t(1P"iAt"](BQScY^Q.E1j"0lC6 h}B =.4Yb.@KoSRZ3d NTw 7k|Դqm4fF%Tfwch`L0$GG- 5^>k޿oC}.Muޝ&gl0hM0dqlxU:{&Dz9LJb _$E*="Uy(`ujdDW~ZӨ:|#xrQ6ꇯt{9y(i)6)$' >ngǫ|VR\T+sĖk`PϖRw1I F&};sk zǧTh78(#Ю@MrU[z=!'_B:A Xa$-o@YBI L[.w<e5&#njm3<ҷvB #HԄ?&eg'n pVMi_*V'1[>"_3Z`8> 7'<.,!Kknj Čܢᖎ7*jkθ}g(E|%w^l穱z6b=J瓻mrGNœ{xMFB׉hx_m& H-ٝ-?y#/8/aC"uF4MZe;8l*ʆӼ1"/*gqtSSx4oMp$ϞqH֓FMMփ WZQJg_,UĐ;O%w/8Өth*K'--=F ^`vY1k*)du]~ԲᔟbM$09mÏs8 tϩOxv} FotXKr6u  #W]F#xFsx7W&|0ģYX[;y|lɃjQݑ͍c`ϰy|wИkB.]򒴚NR4 x? a׳(lvH94Z!,Kz3Z)M>t(K܁KCZM/cTaD&s$㡥lݽʙœ=a_/pd8փRIARNgu<4ly0k4VlG)p|Cdϑb4pOC1,l4OOOK}H?yg,j̑}tCa򚵥KS:rS`‡;X[eMإ(,Yo?W|3F0XY;ǧcIiCHz =E /Ϋߝ?: t~2^߃!F_Yi썵"V"ia^;A)^V'MS =2EW69Y}?ql2[S}s_crK=jo`R`ķCʦL `׎q2Gzl<QZ&yvSoGc]d0XAB1MtLQB5]:r[aO}zywt .N5wVZU+U D~loNARwL' 7y(!;_*';f "/4ŜYOy=e\4&2iNZ^ƒȢaJ@|B \ #4#"o}] ^o=t\JÄv@'ç`XvX3|&3wfL>Ĵ5T+;"p`2w/vujn@紒/֏dyIt$p63(k1Zw )k-SaNFk8Tؠ(:Ǘz=+؉4~% w%jrz#_R10eqCq$eMd}x_NIF L@S r (SKŖVQ?}vF{r|$Mcz pX=q.4@@uz2km1ٜGeMݭ,䎥_A+7Op֌ʘwa}d`sIBlF ^8HNr1TV֏\p˓վT)Ȯ۸?25f2p&`nbѻ&J8YٻVd $^Y@kL= JkN$L#NAZ:TŨ^y :~ p<#$$OYNL["wLF$I4#>#&<;<0hnhFhFdfL J`8aoŤi$5a?bSFqQGm)_ rN.ˍ ?f||5%81|O(愊|foo3e$& קv]YzDjsLi//_'ܒ8guVǧ]n1tc-TR##Lw$ᴸho: x Cx|M.۱ŐY+7 ޲A~3hJjrT:!#T# Dt:99Ԕi'tMu3MDZKٵmH /PKNRN x3uZ4R֟ 裰MkI<%96[|.cds+/5\r09n @G~V)s ,& "{xEA5imU%$dSG E |?` wְ֢),X߈rt +*ew0%SȕcҟfD<"/1ʇŠ}^z6[ݘ rucঀguX䢪 =LkY}/1|[2בdNF[^v_G.xX*](vV3 ΄oy-0GC| V彵 p zZ8y3:D,S5z".T%u!-XGYL=˷7 le d/]*Ks)ҩzIZs&2[w-C,$Qfuo~x̨ױ!a(+@5iGn'X y H{vFn4\QH.*\[!,۠+MWDTS4R47=K'.mwBA` %>~.q;U|P$vB>%e3$` u87כn럃D#A۴UA%I 2K12ku*̋0wy(+]"z;gk YOe =Ю*dH\:J;15Esz>⼋M^O#ٍx$o%JH@5#tGko3 8Pô ŎzCV"6Lbh1gc[NcaZ.3 4PTM ] JdGF\2~7y%"F1Xœ_B+%sP5CxқJ:_-?'h\JbӵDeF0Ӈ>K5%/[E`8(ݛ&^r軷zEN)TU%ֶO"pͽ @hFg4[v Zq<_~hn\D[$τ}M*Y"g#%+u p3 Jp2׽c/}NR0q)Pu, sy]OQ{,srpB yrv#=%";GϡT%&gU4Ѻ)X h[)&;XKi]i$ \qwGg" 1zpFY۞b[`AjO4ډ=Iګ̭ZjZЭr0.TRJ48)?F'toeper_{Er. ?Ev*G?|k-Rο>XGb4c . ޯ{Jܾ#?R<WL?hr8~fQ峸 6rBIPw# :)?f蟏w8<|urg}W=6xTh#ݕFɾkI'o.UK>uU6fQj=д̝Kw<-_/ce̼=J>oe*m\^~770=o|iVu.hO'M OaZƻp\avF%h2oUo\Y [E)4bqN&L$*C~b-F`6AC0AT,X̹9gpejM GMND@fl'jb(0$O<'.KF}8IwF /P$Ah>kBчM$4&SxLzc>R=P+jS3J}26'ŐrȰ AQVB i3Y#~ZS;-ۦMC|%-+ .ReԘ7y8Kɰ[C*K8O&M&{2k/f譨~aYU|d/]g\?$e(j5K"HNSNFƦޖjKדS|i$fRL@Ϙ:XPua 8!}kϖm` RoSיTP:@>Tk扯pl]#/7TR<ײr-p{H|*ͅ_&_ ^SNМx lޑf3\ O RT| BmG)cxQSľ EDu95#&`۶`37<֖Ѡzű탙 ɴr4sD %uQcsrLUH}TLWt*S~ e`$v$F:$WhF1\dQT>U:k:Tz#%ϩCQw3E,X2HW84R|D p9_A0ʷUtnK)tN?J׳9+bG:B`M_q9ЯH%PKl]'p犱q Cu#:^::NzܚT ~i"ڲ8qzʴir[.>K}("l90j}%́P6D^y0i-ᬑE.qwFe (k7.dQo$}ju -_:Ӷ3P ƷBqRbPWR$YGd͊Yf,6 [q Zp&E]L(ԑO*uKpe?qѴܝzh7tn+{&j=l6iAǬ!8#$f>diR&H%1nbeVe)K':}8ze}}%(Y3{ntS|pTxAVeAňN&)[#ե~n D\40f!k2ۏ|zC핋W1$$sD ಧp/dcŧ)W^"v ?%(>?_W`lt#A]hq/FF+Z~{A:k$>Tb 6K T a[gƓVw<ղ xz !u?ZYrl-k` 4OxcƷH?p&ɔ퓚:Q#RK)11"XuegBܜOy54YtO< GMF[X}Đ=mI[ߎ/L7: QWn2ѣ.; ]qO( bo[*h7@bqfUxxU6Fnjt 6U[:e >3vw S3ĽV3M0&ҺaK,ƕB]ņA< lyq-ԑ=Ž&{Ij)N2g.mHTyMRX:KB_C@q ͇(#B`/`?yӯz1)aoo}a¯uK*a3A~l7wp+=&bbJ Ӻ,NB 7*g@6{},8@D_X:Z  1bو1j_ճN*=Ҡa,7Xø}^o n˶0N~zw;7uWЕ?Z1">&n2d7,-Cߘp>_x G\S[7ntҤ.Ga )TC҂_?OAi4_Do&|Mœ_%ڱva}ƖR9t4$Kˑ}>³`n:7~ꮘ{_`LS\7M``,1&zR1{ۅt]lKqɏ,A\=ļ;-OQ)l";|W= ǂp[֎Խ_lP&.B=DLHNJ#Y"دZ=/>?w6g54"l v00DˀnS>IH>lDz&ϴ5Dr^ɂ\6&P;C]YXWބܯΠlޣǫ8 0|A+r6sgƪ lj ` enwNyt%>ĎЁWDAB:Ҿ>9bZ:1"R|Wn\]m|j>#L|.sB/dq#8?%pnE"%\2$$7%?]GE ۣiݗ])qʣ|H5CUOrM89zv x2zdKds0p86 e?Q9`O5׺V2KUBO^pm\_J(qꌑ[ٻqVj @X)PKZe 1Gy !t]KkZI'^ʺMj,YO2&7]fE-$KouKhj#,u8^FzE$abXm P8$" >~~vQ$:~7ت7Am_SZ;A'Je<&:=ܑ[ɤX2'_北n-kT\rn=L9y _!z](?DGh6Ka&*ϘnԦX>?ot{^}>=cʋ=2YZ0};|kXۛxM+{K{[_-i7۴n=gH|չws/˰M-!XԌITJpSޓ'A= &čM*w0 " htT[hS7Nz֑Tu߭Wހ'$m9s oFOg*ST@pB8W]>}:&eΟhiܲO6v2/w H+;qPfC" BVKc6-zNTܑ~ Cf2=.myٜyyw=?`TlkӇFɌlċ3|ge!B]۟U1;?h2Up 8HƓoEB o23[ϷJ$gq8{7 >)wF'3yZeK~K:$ zPBdtQfIq!-M"ZwIz50xΦ]k%Éb7HVDtM yVZnd'e~I S5bPk3GzÈC K̶#ڸ-'͞ [zp r|ӱ}9݊>EE1[ 9oU_ YT^=*فd ]"&~$-ݲ4m\%Es,P7SF`C;y̬F{ WqHe#A`3Z-03r<:ǩmEi}9D\Lҳ;MxKLl#~(F"1[ v!}RV/$Qa8Z#OAtJDr(K%slT‰nkϥc s84#;?*IycM8{H}+)MSΕd&+ HT\4? cC;IH0fBX7AΝ%xs_@,JÏ3o@I"7]XR+&Jgyuh LݸS?G?p';ZG0=N'̓t i'(.+zx(|i4#m:ha>!ϔsӪ;Z7!^ ǏVP\39ѝm Ǒ+朝q^+[Fdz;ZJ=H ;ZOu7c;pϡa; `ɥ<޸Aį&x(9p-l]K18_h#jU<3ɖUw.qa osNەh KޭPv5=m$һ`%8’9A<󕿗:p[r8Xԓ~o7˝ۿjQaSc?٬Fc w{ ֯lƣǺ[e'"( *ٹn@gO-zf:|&@ UR'PI=);EwQ ٸ\Z'ԗ(j.@Tj*VߦV#֘:ha% .|_SZ_JxLŏ}j0܏bF5T&*Z&ouh:+3s7:_~;?4Pv]M2QF{F,EsDta=80dH$)48&#KA<俙HGB!C[OqQbd@D5EP24珇>f'x%^fowfv^tg~VTifrfaLY$p 68&L`6XHG_>&VLeF2֮Av79Ma3K.3Bp !1>@E8lt37ߑKZͫg!‹OiuX^֌)ܘWH`~Q6j(E̲d^ ~3;#NRqCICe+ :bh$g \M,)7"25-m)Iv;QxO"U!*Ct3l!rQ#a ': )t!i9hU^Σ2#V}_/ݏӀղ~̰WhywE)"qd N9E3xj!W Wn=8nTyj/7g~79;!(cN<ҝ ˡ+O9Jм'ǧy8Ӧxr?ln :L0V|tEJeTεT5J4*bsDž?eOZKjw^Aԫĝi8K lRӹ!5pM<7̒嗀롹"I y>j&1?xĝ=K' 8)M_;񩝓zJ.8`$EҊ핾 Wi ]Z|JT{w^k]"WWa~ozoi6}λSyrԺ)4D7O{6TZ6xY$a$Wsj|Kk؅_A+3At WTMA齑hVk^.0F ql^$6N|Mo͔nj7j* =Yz>CwBМ@ę[7(Gƛ70*)k}B|匵orcZB>e6>`nX(-ӱv}8kJgwzm&J1&0i с5ͳRu^ S._cL,@bkg#!T, B6!g FIrq|2c猡Ǔ2a YKYǙ. t;R~0TAg8\/dWI(SpV98Ȭi Y$ps.aA9BH?kyTFI~!GCw+!3;vW"s|VsYrmP'/P8r=f# 2?Ă1u ,wc9$},Pj"yl%`y@ր,Yۗw_2G/wZW>!Y@7̫b^1ӄz[hҿhуE#:-ؐKՁ=AYNhTy/}9 #jIKb8)wr9'?;;;mm0kV7Iiao'9 M[zH: |0.\,7T 83AvgKN~ڼLS1Y-yA?G:Ks7]~L j \펦(nTIxJiӅπ.&5]''Q^\ys=dR!{ˍQbjŤ)Fӛ&]A!"IvKPruڟIu`乍쪴Sٷo?+Pch,>3KVDF֭/Eyx$"?ӗ S ,o͙իSNrVUOՁMs)4L-:V;M3qtd.Q~wX z K*mYꃻ*:uhY~x/UVsݺJ(H7ZȷT9avzs^͈9" qr= `H#R^I~n/`[A ewKlrJ6h޼Y֌+t g<NHx'g.sAhM\9n4VUO C+E!Ÿ /^ofX%;2rFʽq}/5MN 0Pd 8etJcCǢ=6]2,لZøp0v,Ү*JjelkP4Qamon *n1ԛ7Ƞq6V `n36q k$[r6̫w%bvTx+,L?+J>j)hZA`PH?004VtR6Tǚi֓QvMa|d \;vv-` fc57!KA[iZž7\n-C@@eH*OS_ !Л{q6ʿ/|^Pp˨Å% HFa zgppl$NlŠbn0J'\Tt4N^CܵTWo[w075CoJF_~cHȌm ^mt׼D]8>$k,ܳ{S.]jZ-afc%_:KT11tyc=)WNE%|MM+VKѱ}]irZyzt[qf$&;,iڕgm{NG%YYȶg=*Q;[ dx.$O'R8vqa 6Fo7H%j~Fjgs v^D$e</ߍ$G$}(YJ?Cag`zњDc, f&?.f]j1ڸ;ᰑ)sMbinw}ΛgVD:?UNlj.@y7L}2-v`ojm{ 2? |&Vk|#ɋ#ɐvIF3[φSL5iwݚ#S Kq2n8VY ֔HadhԳ  ZOaV_JCl'h0{&P'50=>aҐg4lʮT}͍'"=`/4ջxfGuy- 5T{U 7 Dt?Vwyp^eW.' YF79mS }MPLdo1)+ߓ[Mն/=uz}MU{ڶ(Xvls~݁b붞MmhuU<鉥 BpL7܆ٞCz|Kq_+$,([r;fd՟vNa*fF\1Yj(N)ueO쎈 %FheFd|_,NԾ4 "* Xk}_OttSȻdQi;Sh:uY|RX3r$YLe4HkPqqa(+Dy z x$ܪ7M¿%|Fw6hLh ׁ }tF\.hǼ>TÑtBr-#tBHߘo2׽ {3A|(% ܜ+<@%efΦl-X6ܜzS Vnw~^_)0mM&l6S^?XA$TUw.f|A,Hϡ 6uAuS%g_̥`Tuf lZ8]8?#UYzֲjPYLʩs 9Mc1-st.}1lMWG VlY<ޒ`g03wq_) "`g{ڼT/c!ڨuVa<]P%;tjO,8cI/ϲOfÄz*Z'ߓV{JN'edfR/HM*w΍ܽj/„4󙻺L?N?)^IWU7e,֝_ۼ#k{o:#= m~o`d^3ۦlx^Rqe\ΔVTCfoꚪnh> d1qkut B|491:7Gpұ Wg]bNtώ2Y^0d{J־~xBL83Aqa6M\6 G#9ԑDH˜ds[jRӹOg +P Ѹ^{֦JY->+4Xc"~TcS Ƴ"FUss8dgZqԸl:Њ㵾O~n2DQMťV8MrWzBqVcӒZ̸Z!NhW%SpJub8dz2ͦ"wRs-({wjN+6[8oH>8`I^:2ӰWa&f`#nA(rVџcb (:x6t}\2pOJg.Ƨ\tk/J_~Z <n2gp{n}i("Xw3@x.Dk>n="PQ7O1 @Ԇ ?no^³N]RXk:X<}fa bγv̾ .,+­qga{bv}¢|hb4-mLRp뺭qw:G_d91SDظ8|ػ+Ms\[B]^o.s)b^y9G C\,6cuxM4z~zf'w'p@lLiqy雀@2|’py uâ|jr6!g`ԷBvpޛ:$*hyMCX]* r 11 M4ڷn[o/6<|iHOνZ'PF=װqҸ_#|Z@tsTkcQy+Βzz,hI{ᨎ 0ӪF!:@xF뾉4yFCgs@ۙdhVer̨97ճ<bMr3Py0Cd==uP[ݕ؎9_z L%§kē| flu؜Sb8.|s .i;X+AǪ8ֲ΋-?igg`F0$0"pY|pnUI;h6,i.?⧎a˅d8zDuRTo+G'a=*PM' u16zy={rS}ڨCe!w KbNuσ"8zE3Ocb.6uak4%П'pdX8Ooww44hMj]j֒|^Hށ|KQmJ] {. _mdHִW_;Ofmkd1'o|P˞-~a8gM`N^<>j offZ lXv05| HO.~f#a.̎LMi˂!R0e0c j$."6>BE9tݰL?`ҝghO\ׅ,z;IS}P.8/'^Pu08?-W:zWW݄ʫ%%9d0PVĶ;誷Fh3ƈ r,I "*ssGuȬ*kyyHVl!zGD\B<%By׆>hA#G^cX&/чX@9<ޛ:nxl%.NGaFէ/J ;=aHN(]a #rSizT6}V;5'?-ޭה.J9?AyaQP8?h-x>a^r|xkD lZU|8{~J hcnp;zxIJ|D3^@ˏ~RʓԒ+8fC!~ͨGL :>ZGj`}h@̂0|.~zfKԡGfpgx@@@`4/!alĎVok l_r˪o+O $syzD2F2nM]HIzUrKbQD ^M_߿]qDD}c+0oৱ["x;١%+w30i^-)[M=>oȚwrQ?S\@ǯߠp'O8+H] i-L068$ߙdMO,oʛy(f>أLn?OHPĥq6dXy?ƃ%ˠy"0 ET_/.SpTfxu.<]NeYFN|vtZ(x+5R'yBHdS5oK x^ g%Gs=isWj_ JXa0)E@ @ajB=h(_M*:a~U_䌇20~fTC9izD>V*(X C ZE "Ղtբ =S!"KM~!5HRv;.mTYSהpCYيJv2*Ը`Ui:ty:iT7*.2ZW6+&8Ef#&d.N-YՏ+VWX7PL$)_ pb!c@:乵Fe[!?fQޟ Pe<2'll|>^kl6]/SCf. uG>5?tZo@ Dm1%"~UO fEw ׶M'}~rU1gK9>Iz_c9I5ѣsazèF^'I_> 葒_%m2cmU O;A-8Da$:Ic6]fD" P%h)&Bґ'O]KM X/~*'v$gu" CӘW'6휶m8ȀI}?w&?syO5YW,vQJuYGя6:hm`œ$G魺5 !*7Zě<wȺb77aXnDș/YEH- qǃԦ.&BhEF>3o=)0cmrO6K *N'+ "y1zȲa*YOTMk껸mNmή~{jOQa]e{<9ԭBa^VW kk_?}5iׇZ5mřAf@3yܵ)|[w9Ծ~I} sVs_O8>:䣢Cv` !|F 1')@ CY! g4.'@h0HajIhtO)R/ahO&;Oz~~x? t  @q~2 T%Hlչ(Ẃ5N-񍲪Q.aIhM3Ёԙiڅ9t˅m'wRh >Un3 ]6e(Ef]tI ZbF|̫ykګ{uڛoTjqϺ|՗[|CTVp-a.|=Hl/ 1#P:=WmbثSDE?L氷%36:UU^^fVRpP:ݒ%x C::g%Ukf/JL渳ԡ39!BAF-707筰jA'QrDvϚpA Am_ssw  hXuWʾ;#I3Gt1u*Rit$*nl;6T&j96&99:WoF;S\ᗍ}j~[pճ6bioe'jI{CUTOF"AkRRmC9/*t#C1Nn/wyPs l(U'\PHx:B#'G1}⌍1\kfE|Pbڒ:HhX?.N{0)Q' z /RLfrYJ}-f|fA(x|57u,dm\3lM^6SpJ 6glXh2 , egG2oUG`aȗ.Xh\m#đZ[n3I8;>KF lFa(L' e@*3-I'q ̄!єz!LK~;7bIn2̚71 dޙMaF}Ҧ({L)I=]baX 8ɼ'6Zul0pR/ቱMΔdgAaJq-=TTg'x=<d-ЏEo?P!_?[et9%R7#&8Q1Dܣ*?.gie*ep kx71j;3.X!FjK2p1;|?0,~G1-[SJ J'qdra_E[z+:E`vwz+C1ԍ.d>_U©o/xFtٴ6oMs\Zft '`TڧSݎWk)T_pt6Y'muMMca8!iEAuE/؟.9c| ۆ]t*%&[^as#j8"d}F~'4<ɳHp)9#/>k1 |y'D0F2 ^Wo1/~˦ M}{̑JiR?s/fNV9L~t.3K:خh'[z(yvҨ=H\z$քoϭa1kqe)v~OГfrh&FEOzۿjh%`v%1L''N+웕6]u^,{+fNP#iqJ OO`N)癐799-lO%ާ( ɺ4۱}Oz]fMü2807CzM㶿¼F)Z9FfSY Z{l=c*/BܥKP*""PS,9J5(%_Wy4G̶+4`X$Y4!R>Bs]S G(x^WSIn'l3r7q*]G7+03<@2=qR\ %ů_twis=>;Gz)u8"n(03iMa ƾYg1^ rm5&pWM(-wMC%bHxM.3~d[+`%p;YI?R1 dn>lk-_"o06m,TY|g"Ht8ήg ^޾̘zlTÑlMṅ\ .  Z!D.KŖ p˘wlCt"O@N1:Z[򟺲B63^GΫ &WO\ѳ?˕3out;z|}jbZj.\Ŏڒ. E)+8΅}vⱜL8\7?ѝ,"RUIh;LDGbr{rQ}ϱΦD'6kp8L.NI:.G'-kRh{:mlUM38 t1L%< `ΐjNC2[q,gZMaQBL䍐 ay5qAuFgx&8M|ppӒΒMfR9#Sf(}pb!G͆,O],|GJ`%`:~uI $pw=cv7}-5.V/h9X B ngiw;쨿Y8J)h܌=S#xz2KR'nUjkÜ z1nJڝl铚2VZ˕H  }rv,nb"=EmFM" 1ynMDU[5*nQs?!u!d!,Fv6nl:fo&B_FXE,Zʉ4I opcOAL:֊F~,4ٜ; z(\jC9 <#k7:jsȾ\sˍ넦;hظh.p` !MBMȘqzJ(>TjP/L#6[lA>4\!ʵOHC1aG\߷uPIӡM'<)$N>);B:jn*<ꎓ{M ~ ;-(4ܕ$F;nޣX벸`CϷ[GqQӾgyU$h3zr!Yc 9Z%$1i xHFXkj<:eז{ͳOGJ$N([_Sz^ލ?[w}gyWfH#Nȑј{'xߞN4`yc;l{ ^kR]!zF(H&N hpLWi.;& .zL`:,޻e!>p@)|Q&rbB2ԮF`J< ( fdIjh8fUJnZJ>ˆ?\p脰ߛ>`gr[ xZ?> =H!,„jv}jL3V*f#64U!qŝ \BmP[ /Դ%yiHSRy=JYwh{(>`֢>{_H/#o[Ƽ~"J|n^'[^U.ʠbV J@:͡S_1$m'3(rM6$1FwAj@+K;'(p9T} R+T">zD\u;J~^SFU|\mVD($rԳ@Jj!~ CC<ɴ'M̈́,A dZ) | a*?O" dK8-W}u1ra| JŴ@n퓛 gQyF8[%(l&U_}y.S9ŘLu>>ljG<μ[\J;pwOG]VHtuï_,cѓydIێU R?'z-Ȗp#7 ˅ޮ:.06 ^/Yu9H?_'60m?lH M|zrI KMDFq<=JgIq]L1A'|E+rxS<8( A-yPemv]d$F?JIΠ"!̠$ O2M{ӟX-M󬘺X Vy@K&QQqL>#,q"Oq7]w _P N]c[apH@@8sg}cN?nc6wbv.~gfeN _cdsXu}$k0|WPDfiؘʜn7mHRZ?L_;뾶سmzy9 +6A=[tCEc~ޡslǍ;{j~ۉW=Wsmj.ˍk/fLۼl1-4Gx I.{I|2fDi>'/fPjƤflqP8iKbul]0IrMjӦhPӄXn PRCg)>rCyiE6֔ԃ|9&1'Q@n'F%wϬ3t\rɹ7yiƵFꜭ+8dVl{f<(9?d;Ph&"Kp΄l#Qrͅ#WIYuFMf*éBZtkKV=tx VD0 @F;3i1`5*bR}D&.Eַ3틪bl1M2"0}?xJrQ-@9s77,ɌOHk|qc6 ԩ(%LM]8@$Ih{#;xZ:9T'wQ#  }Z i1%:v% Y5|'ꏏ* n@O  lSPƠ'bh(T$w!FI!+>Niiu a:;w.vq,T؄AVp;XБt8T]bߐ2 GZqfCy2xf$\86`5,nSAkbwqv"(l)yNJ icZ{9ܙ: 0bb([DO>IF'[zRB$Fp|/}~`V^LV+oR'U/o"dϊ|1?EXRT!B,!E|ܪǀ|( qװ0*_?jCv)vUg{Otk@!! M?Ddf'+aLuضܓ!Rɇn U Zt c蓯J1Zjh 8o eGXB/2 loB8aeN, )i:sMeZ+|PDAP%{Y6ik|9!yWKi >1Zx uwGl65-$y <"?H3+>mu&!"G#qA+ИHNv[ .'p5SWO `ٞr?K; bz ޙ?y` BR= :tVv8K>2N{e645VaQ 2 *ǩKҿ%o4-茵UknRV,@սYlqep]yepN6=oPJHL& )o0 PN98r%L !!'}Owڜpm[C.bBb\Cc5 OcQrE^|y^^)& n%bp- ekNQQl^buف\8Аa U&R=$ V Y漥n9x' 47]{'E\T80??*ee]N3h!^z=ȵ@׵9p FuDo>NdNmK7jIl_vG֬>RhQ 7@scsw6sR-((90EqG{Kňܶ:ٛZU^`!VC/Iz$&9#cY@,Lhҩޟ#UJãb>~[yuJ,,ԯ7RɨKyRM"hnt9VŇ H1شFĘ4-&:{{GY~)PĨtLtկ{l:@עQhS3yG86Z>"BOǭYޠ.| Z󈝴~.zm#Lc>^ h3X]XVK6%זl3PL_2b00Ŭxb/A$=4#`kjlgdrF iI3?=c>81'`̝YhC} ᇔ0<#Z=iteՎiRy76f"`_;ݾAc$@-1:K`R12 p3  t kws-OPYo3ecS}L}MfQpr/0rxtF]bڜ@} 2`G7? -@%9!Iz ͟ ì`9?͎>KwfԩmLkSE=OLEm̻b) `M(I]Ǔ#AZ g7 YlކKư2UȦ?NCf / *c)8)EZ?[tރ:#:0 n`oܕJ;.h6DSqS6h f4ޒ,T]T *hP *qza]fՋ:ium/EW.Z{.~r6`DniuylKˉi{֓iR5Idģ\cK 9IQ)@he{TlHռURC"[lzh0g(#_|tj2e8K^;?g+Ņښ)-_[-IOr[& Nb62)> q]\)`bxq}f,Qd-՟E!c g#&VFg0:S u_m*H`-YZ6l7%ԎҀ"տr}iZ_ λHВY4׆ L܌s*ZF+Y -<+ǣ`ARj a@)h w60ͪ"Q'N[Ydٍ&C:ܵz3iJx~ps5 iҾBsZGEa]~IDall mXβǝOny7-S$3Yk Vx2~$lvF2 7Цph{De{/.q&Ly1q0jΈP )k-8g⧖S?#cR|b!:6I`aԓN #h d4y-Oo/*L#ژ`TQj^BEYĻ1tZ r[|v~ c?`y<%h)kPV쾆B){dRXNapbK5Rp$`:xAWn6is`bXt LJ.i4FKO 5|'~.Xuk -١lJt(W`%mg0'`+Jr8 v)$ԟE(]:M7YP66g1ן4^fS(=@ >DQMhc0m*]%?~c+A YzP1~,&֝/{D;EӴ+fN_7\.9aZi.aÖ 7}ҨVg g8,,Ic)` ;ҶX_?ƺiQ8!؇&!p~`:ǖrp w#>Dƽ6Ios\bxQq1Ju}MCֆu|+|v_[7Rͬ~NFK]x^?kk_]Xs:;2SH:tU St,rkI5W?R"VАX%pZ[+[]zq{~!܀QStxQ+Vtf B=%ϘWA#a"p,G|Cd !F&.䙱4E4m78Kzc?dN(!ʞ٫qgMjX¢̐ix ;Z YAk3r9qɲU߄$)v,S% %ժLIi&`AWa@9ta!owGu% ƮJ hEppˤNd.c% {XS) fWpѿ^)2J2P2 5UAF~(eM&0>CTEc<-l^ۜm-<1˧Mb}Bj4Y*:3UjP#wfk2J.ju5  Grm C 1M[d,AtUTpFR/ZqS wB:ekHe9f} қ"PY}+/DzZ]"?IӔ3gU=v3fWL: L=+ "ɡqX F~**9BH[eY"d56z9t~Z& OC:[x7|G74v޲vߑj*R}#YS=.ː*7:3Ϡ$M\C 4ҾPr`K2Ͼyԥz1'AgYH<~qTHsĹ6g<(8Ўa'O*8!}V'·AX.ḛw+VqLw"BJ ?xjg(%Ao({"=[!1ۀpԬq@"f K,W)?)SMѶRovt0,Os"XH(o%;1Z-V&Q\t8 /ܽbFgO_hC&(e7owaʔNӜKa(d-z ϪDLUH FkڝՀawק†0 :H⫿ Tҹ(Uc=@8i1xpwɫ񁑾k)=g<Ĥ_ȧ(y?TqEfb{`RΙ|2/ Pjz`y~[g$m5m<˰S]+RGiVN .gH7ha ҟ42m'nz(^UM=~}c|䢄W8)lK7(t?ʥhugtp!NqItF޽ʐuDPQHXݓ:I?.> Q<7%1NYBG[k1oT@8q -%8t0'1OH<գk}ꅷvXbWS_èg4t!'^NÀyEmKͯoN}x話]!D_51td$5|XX/P͘'f4\,:.:XM5w~oŻm e"m𛟺ib#ͧ$'E<ڒY{;Ezʽ|)g8m>S"[(q'Kl )ńsʁDbf>S- E<2S7A&X>fjdeG- lCBV홝~äf1=~aG Isxm(HsEͫj^"uCw]UBaSP-`\R¶@#ڞ!zجxr=b!DIw{댭} Q#sԛ؛q/Ӵaяc`edq^9)`FG/izea+Շ+'sԣ't+#?/{KR.y,LVVkL=nnx|MR'Y,ië+.Q hZ&^`yݠ72t;iLƱVr" q)uKh m$Fr(TUiN'l>P}&b+$F0 |rHCǢ{3Pɻ{̇yk܂ デ%V*V Qk|+ChRBdVD]4Bz lʕ΁`%z|Me{27}UM16u]wkDZ5G4}]<-h֌\}d)xwz! 3DvA\w1zNKw/bÖvNc$uږzþB1.PP]pV+:ў-A\9b w1V)b|s8^sZ jS?ۨJ,,q:%a P[~:8EPXĵ/7 ?L^ ZP~ַ5EXJmzVtT] |3:-+I^_krQMܞMDκXۛtsӬYe[gJ=p!<!508>5's:3e쨝s @Bt!Q ~@X"eM93JnFӮWs(bx!9ܚY6s7];C\( H;:r0{ pi`}ɻ\MQjFG+v-q-vc)nE =.TJOgF08ĿR=):` KLtz:x|SA_Ꝓ B P Ɗ hf  sGdjR e|MTнp\g`wc҇FI?d!ASLW%(#xʽnSefEOu=~YFIk#џx/`퇊dž\ui r#GBQl:H2#JA+dPo'"A5ŽFj/vzzƌHΥqٿYݦq;Z6*k|Zf4qΙzu6hHLL_h L.se=q*a[iTիIզۇ-:ƍղɿv`U VyMQ>&S$te9tHd=1QmfD@A,l^VvM*[vKf.H HScqwx]Q#ķLN#(Buoʓd;%הYΰuLIXq:|#TPdDxҔ ΂ #I7a$Wܕ~IxW`cM9Ta$*#Anq%n2)MLKU7Ĺ+U4H@k)-[e~y)kE7St4c XIha~TT0 8z ]0C'ݏBXLçqD$܋vPlxm 9^,#H#,P SZ; B5% ѓ j/o3,(A{(8eƆ7*Xbr六~41?ZU;_OnXe%t^ Iu<"?Cy){JںnrZE\fX|~)W_I2m"9A ҲIv*c7w05C?L,'2i]Y sgJRYVTZi]kVf@Х hN пlQKi+O]Ѽdk}w7eq}R}ظY5 Sۮć?`còULimtYK{v5"$MP<3F6xa<:Qg5FMwM L]>#?+ʵDr'㜣Ln)v:9C) 9JIOa?<CG V ۷6oYWɩ a'YQTo*/,AA쫠06=ˇʞAN4f ƕIShi8)M~/xy=BU`gtk(eS܉__mI˶5ҸJ74r8< 7feo3خPBAAu bPLTj Ui'*JRfA;0৙%(Z:-WUgU:Aqh8$.Jo_ȭy=^ 5ŻGa< ׎Dnw5/Ϧ.NEuiNuTƼ'2gSQN2l>i6A#tԃ*[|iH+lo>ɷes7c A PgFi3»BIԃ :U(ReȽo=46tsͨ1=G5XY)b)iS!~j&2WB{qo-Mj؄.W RFAχ0Y*2q.s:B9Š l(QPKV{?=Ԉ7ݩ҄Õˇ,Ӯ,߻O^%Wca-jP[xKʣR 3cҗL66}i/)5ḪݻTs? I۴'G(W,͉oTܝȹSx37;8U<ףxU~G`qjOSkt]W'͜J.]=+YH6ǃTs=#畜:(?c IW{ K,ܟ8v9 -NL)hr&RbNiq┆ir҇2D4#!r]*9Mϕ9g,#yGBa;S)s Q:y[Pw,DB}; pe 8 {U K Tю(="Dj:ځ?9q)e϶J %~| 0I)J/2@r|fˈF)x]^݂cۼ*@܇a"(vhS@,HCίr)UnĦC$t| $Ln~|Rc9hs%rG͆G@Z~.[/ ~%.}3Zb4G~y}_632G&Z^HxFA:M`\Eյ>Nr޼Բ6<;듻M^ّ @Itxv~DNDFvR]iZPqL$+3V \iJm84VNw+1(F3&2;x$_6#Xe[R`Xbr,"4 #8㵞1Ɖ`jv-L2 }6;.}rnf_ 0#hKYOMJ<^b,kTQZЗ(媯)e*,0Gm鵹_>Tv."`j7Gm:GVÄW.\xV3c796aJEԊ=zjFvEЧRh^a : 4ˊo[;z0Ij1 \>ږt27@\)Iv3fxW~ 4&6w΍?( 1*ݿPD%FzZʒ{y}JODdjmNvmuF^1*>vm{פnF,6Ȗ%S&LPcϏO!_ w(Y]0{bKcLwGѝ5+7(xƮ ŕDgSK庶/'y` 8Q*Zc,m:e`RZM%"3/ r GNMk:ېbFn{˓3TaMNzr`QCC' A B=7;%]z#bcP'$C$ܜB\1僽޾h jK-@U5L^x `ğOzsۻ\wyU5HdWV~ .N5aqG=F8(Gڠ"GR'|r(q3]&xx%V~gc {m16&LM^J]S˂tjvUhZjqyb(Q=R饯_YiLC%/n"Qӵ6\c.+%3 8itwu@~I*Y|iH@csWİ~!E_˙cޱ)nJASӑ_hf@'cTY .5a\Eq=P^8'P5.g*Lg*T>Eし=<;2`8=0#xop(~ak/dZ;ѷ[wJ#;IT=m|hlbwH3cp/܇R^q \.{IMcUVG;RйX(aNsH1Fs:- `o&هXS'>2qؘͬ1KYh1ʠIz䮹o@ oMx"J7ݓ+,CYv1ip>:tEb?h1\ǰ~/.r|®LHgpejL!J$#<LP0+܃ekЊ<6L}JF(;D]˦Gmtǵb0儶Tbo4v wQntdIWѫ3r?j++~3Us)I4&M?ZhU%qIŮuX}њ0i䍇էz҉b1Md9.P-C7 Tej1O (z Q8%iј]ѱ#Ug=1vsk3׫4d]Y'ْ~u#\WWVyTy=jcc~>9n*R aQsZc/)qNh ɮGh7f$4-D)g1e`ϡx 1d̟AE4Eȕ}0/7(bkĶe&/9EߟyQ19h62c;ӹ-ցW^ `cgpHx5[2אa\1tEW%v{k qe5'noSYR&͟Ahc1pD)}d[ lNBUͭkeRw"eyr78`B=QgW6@~D!AbTY(_FBKS*$jRCdiӃ4^Έw_ Vd*x V~z5`rEv!Gc|w0Iz c:8Rw #ӤC(*:fn(4]Ù]{\T l_1<ΪX08 Tl+ s-`Wz#"z:.{v=·7M+6vSw.̄5_Υ`ދ6q'8A*"tMϻWG>r61^͵{N SRob]< iI>9 iە(O {B=ំ27d$ ]#nbW-pxE>&.k[603q߃?/<{JV\r9k;[Ba <4)ٓe׫` 39++m;.m8\>  rgEݚ[Uv;},1~§.ظo&O~J訂.]irpyu$VnӈY=Kj/l 7EW%5晭ɸ1#qB R\eEt3Xl#p:~ cI>F[}0e kο ItPp _QTK7dyxf:^W=Nf=^tU`ϋ`!:#Dzmϡ7=-siz}uOe bV7Ak{jVXߢFWeO };臞wq/_KC{<,doO^? 3\~|7guciRD|;S)3 '-v^ʍeY͸n8YDi{Ի##W?KNl@|[s~N[tv=NN)͞KG]%8fEn?c7f`y1,R]9'XUR0H#vOu9)G(1OH3[d^GHjORzQ26WOjx$&'I4p%t? tCXvԻPHvP z2KҴ[Y rŎ{X\k%u/;TL17cCE.Epf1-}lvK,&oỉ[zrQ /<W{w9=T\B3OKW; ĄcA޼QU1![6 @S0D Ts@Pb8hy1zJlA88ܡ࿍Nuģ>Ӻ9c8_6eq׏Òi# El4F+u0(q; V™[ R"lmRdȄft1!$=*S8h CQHOM%VoIŢ+$\5{:< ):M(i鋉e{RdlH.gW %!P# RVfV>;}SwsC8XWz *qhI1h'c,p|NfNpYoWR^5vSF<|ۂV H(mFxkxNI>pVMlJY)$8行3Ml\+/GIA\ZcDG\+&6F 70W a#4L6gH4ѧJ TVR_kJ WJ^[6~QzV7xB."%i(q.)N]<:ɬ'Eo)uF|ik{>: %SܫDCkG0dI(WO`K:8;ūSl^ [8a7Bݺ 8Aw7r?Z)tLM;hH sP֩H:A !6.R` e_p;pҜE~2S).N!jQ.÷$\!@19ӛ1@BJ1!U{rwzIЍv .F0tWS ǣ;F28 vu4nv ^ $x u6feY:ht~FuצU!#yF!}ζ¯ {XgKH(AA8vֱǞݐs6kdx#U4TiT;rfqf˨$NdEбE4VQta7,(=9YK+c 5E  Ա;kAjڔ >J!GRގZ qǠE; {PlvIJ:t=0_݋ gVK(4&cVbV=吣$UI kvu9Q#c"mlKP7p+67Πpy̨JtLG!G^3;LyZ#r!|=1_Bp(uЎT2+_PGH]Pٜʍɀ E!m_+;ɽHH8'$;BuWc_Oi6Byp?ws2=,ZIem0^x= #Qvҍ<8x۠Yhg-Yw:x~+`9X4?>C\!%GHVu Y8(Fq1#I YMscYBA&N1>3(ᑄI$Mۥ=+KGy˜ޝQ鯜i;sio`wA!P M[]$*T= yԞ_ߘT"T?z)! "l?qw e*[Ш\ڱ=TF?K~l):jS/;4wSVfzt0|7aI|##͕=1=6퍏i9QI^*86Kh9Pjκs#݋]Hv10A74g;|?ߺϙ|B.EL$I4B 0m5@Ȼj!A+˭v`y#hAzZj w-yAa=\o DgO͘ź񱐳qc/$o~I(y<΀b;TQv1Ũr姁Jǩ=1=5\ >J{gSK񢺠r <,]<+˚F{aC) y&RK`Df`Bj`O`K-MVҧſ@o^ZŕMWZik f<F%"m&f۹DDo\ WLχ8SrcQb^̲/q݈0_LJ?Pgh?RO]\;W໣!#;R2>mlִx07 >U.*35p#'x`S лW@ ج='YHY%$ c삣 u&'<=  9k]}E#mXDhyG:[j(L֏Q=& F#/{,̑πқ졊)߅puHn\SREiHN84Bؕ- u!M`gʉ}EvZO e"2"P+烞! ^C Ȭؓ&v4"=p|±Lkn6%^.dFɯAMy<h ߾CF23WU Kh%q=1f Ƨ෵â:q:e9_B džX o@EdʄƲ)A ~6c 1a9 D+ g) L% C)Ux ˜sRGxsUb#Fq[]Vfɭ T¢(A|OQ\F1,o-%F|܈s7Uo#Ϩ&J<:\v8Ǿ i9s.x+ǁ^ךTM:a' ?d:mnR IcEn&'\אlt9LRnic;׿`)*+oB\:ȴL}}%W[}rWT9U:[;_[bљ{d"sh閎7Y"{\_B5;e5dٖQ?o+o*o#G&OdB9AM!eی'-F!flWn"nȨo2`aX3h1#Br3Xv^1-T%+z*H"̥)l{Ʀn>: Y`=`8pHgBxPfԮgwb-L<3m ~Z'37_e xJ`6׻'@Kg'b)p[S\L9);)[ wD `۽g`aE$bt#n^].ן[k=t@B ㅝ DqbĒ:=VeR6|g5iJ%: Q:}y'}[BtOr_&@ӄxV&頾ϽNڷe4wM,?MЦW*\30eQ`xڜշt:Hk_:م=NUКچeL7i%//jon6FQjx3>!+0.cRYl HgG~DzƵ]1|pbM+,E}`ޝsܳl ßP,˟{kY7 g6Pj8k-m\Lw\e֛#ϕ&Z71~PP;QGD!!<%ЬSSQ/zFuFhsGptxxiFzFoFxdMe-(*BHp!A)1 :&jn ":S34 mYG -跭MDl'&DeIb;(Uy =L96i[?7lVQ0y;VrԹ&/OsP~>u<@ZS hurX8,B$hycM%TZ2OߵseO fy.%.' Gr59v2ܐHK:;?ͤ jbʷ ðM)`#NXۍ'Mo$sAn_{F0 ! nW[K&WlSb[.k!~GzyR'55Q, ~>LYmFu پdjܥ2nJv6[OXrTNc?aI@q7G~ 1]xt ;%~.e_RG7$E^z$KjJx[Bݶ{ORX_, oU( ʹ&xB !4r`FSD|KW͋ȏqgO;YQs@2|XD.\$}6XFdIb?cVV ~> d~Wɭ,O5gSֺ!y*"h6BS[&oZUjQpCm\x_"Pqsrj>*/tua%3x>ZG Z> °AC"T2YdcI1+ 񇳢uؠuѷNdɹ#C X)RS}(0^DdBᯢD{& {jYG"T,0泯‡9x׃y#&`A!\dDpr(GGQ4k$! Yd1hFBk""soA5=F޲SQ.T;TfV`7f7Fb9Qˉüh#C_v5+^@4!x9^O's[%NcyHdLCϏJ7jU)і%½.S.JHzʏ/S7L˂f)3w%rkh\4U02烑\DpWJa:. sպl\<R5 Яڃs҃Ξ:I#V3]]ՉiE$7|tO\—"z#?Zdg|u@}#N_&Ur2xG]"T#Q*q6o|v f^٢/ˇJF Z7%q5i\G\iD8y/glc0Qn4z(wBenpsCP\k0 jаӘ"TvۿpC7OPEU&5 +nöbt̵a)tOiBC:2i6hĥi}1;cD%-ܤtj1x ݷR5hqj4טž ~f]9vp' _' .-W=}z7'6(udegKSw^Ϲž}fW|84b'd"L$z ִ;Zjsw_ R'׺hd65tuuns sV:gcYoǕҹZS02Q[?68vC֘HUc0j'~FxSFWa>QGKk" a,$Y/RU@̚BT'%']5sGtORIɤRwBABJ^ s0~ 4kP6M-H |#b-M$585 >7˓4ȼoxny̪D P{ɧяy)iI# 5Zcp~hyE6힀f֘bOn|JSowƠd@"ZHddz14'Y*X]`+k=vx(в 8[4̧w06')*+iIU0Xn,z-)@ޟq?hOqiڧmslpւpQydy])vzdHM tL|DB`?#$TȎ@C#h/Fq8rFo r"]>l(gڑI6.)Hm5!u)>U<&<ĸl`O B?t2ʽ`юG60~l̛u%EGEb5i6)RB$V%!ti9)VeN Z/S?>7"ǜ"s=0SH~9Vi^inndi:Oqqb%Iw;g3 UT4%kzy[KEcђ:q%7ֻGYKpj` ,ΥzAz·dͬ7p`R8;9]9zGɯz.#zzU\RJ1g,Е9m̘J=;uأm-D;RE&#qjucI?%RҒy5lMrj27Ll0Q7Yqr%Jk*EY3~d˹}Wnxx-&4T7(WC+dCx]͑"qr~+!;<]ۢrCdjf5_1QϠĨqfO`|{,jj|3pUN6`;gQ36¢He9mƎ'+sV21EOn; $ eXwЯ~\2yaGͮGٵcD%-kqBz_B_aB\l`x6VkҕmB+hBPrbQRGl:I2ч@TfE\..e]:#f\H՞^&cVbT^}e:J9~@Ga:m39E7a bM}+ʹ+ f%2 e} nL@BI}`F?񤢼|+ڞ6 Pxu''߉0,5wZM֕!.0KQO$8aɿxT=|AXL]l`ąO',h #Nad(FnJwkX RSY ̰;:ݰ<>E\\RK *Ӛ:Ӳ[줡zv7(nIS5VKI{9רq=ogcF$awRG& n fqt`,:=J bVT[w̎  Da{`|URWJBJSK/oaIZ*f?.j R,42i%uYZI Tw{ўƒBTtOL߱WPݙe0%q4vh=KanԽypJ!鍘[U9p[˅)aI3 l$8b^u}ѬJ[D9.kj_*$9]艱^b7t±%P잌Ǫ1j68пz~KhZ dӗͿj*>;m7ƧNC}~/v?kJI^41?^1*>65d)壓f <`ƧrF] jܨiy <Ȃ MUIP1&$-G*h(ٷ>}`e(q_ێN}]cr*W.Dl/VCZH$]`^%l {EІp#VQMLꔺwVa(6.Q-A5>yE?m)?K"ᨧ7T#PptrS$չEW6G?ʝ;vH#ߣqJ5ؙNGyla :(·`>Ts&Ee}N7o\q5?en4&7V`y1Ɔ/2\2n;in`p \h߲{pw՜.-D|H)~O_ݳG/%ܼBV& RDt3P(jC2zij9/X͏ߨ,̼Ruk!؎ 3N15?-Ƈ=۝]P;al醴ⲖdDf~򧂮:vT%1P2Yp M#6sB.Y֗ YsU"f"V,y!رğ4MtW#<[=GsulᅩLKpX5#rdB3,58~"} -! o |_G4^~vNd /›['Yr]C~f4yPۦ7Ц777ݺB#>=ړ2!Ūg(œe  }1<ʑ]EؼXE]+&[C6бa *i0E5ۈI1*H%uV>$izw9E/8i ً:xZ xp|lD(U|ߞz\$Q|V%J ~UTxbz&};c ҆R! ̀Ã-H %w|!s\I iX{N@n?L=tw3.sQv$g$ˁƬ?Q XjCu|ʼn ݫ6p2lw=? D6x ]v&2 לAIYW{d>x{DKg˥mUn>M2UH]+tqn#ohF%ne&cNnS/v+#8 KlvxWs[ TL߇Qv<#Q2chqbV )h7@` yC5*m峪/f~m%lZ^ w@SɵLbZc␩ vL`3"x:ab bX9  E#Uuai0lϏ)= ;Mu'kjPmvx3qtK W0)G"FL3Fxӟ&% uc󅒇vd󎍷Ϙ90E[:}lپx^kΧ*I.+Rt|nG1Н|o35 r*E ڃܖY۲=ֈj 1b;Ror Jh0<dW,bP s䔘źtBĢ=e@ "Wh4)s?ޫ ;OXɬ=X~I^vYi%,@gdߧ9pMU~ [LH3j {:ٸw,?qռ}k!3pqpIy$̍@&3դMDՙ3|1)Z7S$z vF)eZ݉"xºWLQY0vrw,h20/M$6t8h4^9ݢt`Cbv{Io-SIUbr*h2Oxjِ8IY KYs~(6ST2W?aeT 4 #3_9Rk/kG.gi$K"\i5IlwW(/)KE40].+Gxt@Hz&_9ܐO uE 06 Nҽfꎧ;RMddZfAƃP_٪^`Xr5{R]Y9$hQГzu/Ox'P=c@߅HI%tKt"3#KP>ZWK}sΟ{aT4)I2} er6XǵMR#U|-UqOyj?6q'r:"7 ? ç&YL͉ d4pV8\a Ȅz#"{r$U$:hgJ0h1duB77W{nI`bqJP^x>qw柳æEE۟$ A)sfo[~d͝1;#vSFgIĻ%mѹ4F1qUX:Bb'27Β@SIaVx!SɉG̾R?+iE`yk;4:XE*ǁg>KXET^ Y˙M~k\NFO'F n>}*d(cDӹ]~M/NoYwE"V~igbX Bʤ)w cB Wi~Ր5z'bl "*ΔEba%4[3a:jK&w [Tw&TunӨbLY0~f&c>@QF_3$Bg21,i-I}ͣ/mS5c1xù3կlZAPk7W ў[E8[C;Pb$#81}"jp7Ez̖iGP{4Ev)nhTWw'X>cG*~Orʦ0Ź 'wK7T}\LSbS 앳6i3(p\4)G%e ^Zm=vaw:h()D)lba=_<(5qv)JYmYXt3sjP5c#IdH8ua$Z5.M?e"gx tÕ`uc@Rda/cq:K'HhƟRlPP?_9m xJp=Dr8` LrqZYJ uAd})!ǯ~h?bͬX~Bpx6.8PeWڇRff09=]!jtDb|k!v2oWl4Q􀢐Tq,R)4ck=HaZoM;Nv54#֪L㕆Fݰmv\`R7g͏: N&0ΰ%o̠]Id@cb(?>]j. M@ܝCk@kr 1'BZzNFY`Y6˕QXb"|}gn;*zv[yW]%g@!!af Qqd>`v؟"ds,8ӀAN-Jy vb<hj:/Œ3oF4zL1ŵ8}&}@@yT(y!EgAFϖWhT@lC-D8H\5BO|&d J P4^Jp U*0觺a)y x {i2}VT[㱊 vH^ xI'wn;&)MN,5jX?z)6tv"4`9x`m_vl/B@]&=JQṙx St2;mTP50Iu-UI*?Ad=1/_tt4aSFH#rIJyޘ %;fMgH%AQ╛%\õQ#Ub7{Clϧ=ǯ,o1yh̲dwM3Kr'PuiO YnI~91&@܃L**Ɯ<1o;~:?~Zۍ^1Lv"٢+evx'5v-Y^xCQ<-%kn;鳝禣d|L rw(U C;}uf $䎏wgk,S4-W[:8xY@]wdm>I]ɓ`J+<_ѐjS]x42z=Sb|jaa8^uCBQ~ *u2BĖ Ԇ8zrp4:xڑ iA lߌ  xrgu4T u8)2ytL+UыڣjHDKO"l`$w&p@ZQ\-$|<K]qj1G9lʘNJwn;.`1Ï_좸%>Z60! Y\pGKGPv9a=⢺P; 8TS9Cp/+Z1|{J+t p1FBL/ ?Z%z4VCm{lٖ]>5ͿE"S;PL[,bt0i$y]/=$Y2*IoQ9j~sGK;*?F6ֺwzj2Bzwife5A1ٕ,$a.8Fcف83 %LkIsP~6aȻȎ~vp&fiG(yrB\ןߜbO wd'$7! HB-|BBXRPPak<9Ţq0# H-|Fhu15Y7׳<(z"qy0ۅԩ#69.y;D].8F[ܱFvYm2C89'Y&=l ߫imr :3d }o҂K[fUC'nmbreJ ~Z" I: AH^S-1vr9iAsrQ/iI_|/е.An9UvrБRZf}7sFbR qj_1J_.rF#D'/t?L2H#'bW:_m2IhKL vG54N0&RD 5Ղ;Iˎ :4dle%0縏vɌsɾ'-bW8'sCP"ڕhLmMmNotQY)ת_J7xx5O4YsW8-闔\ k ^꯵|c/nK`KѿQ$o`vj9FoQ;vyrjl ?)x%Q@,I0Ly{g;8ooS|PnIhe"t^ i9u(|R7ۂ']w)%cxml.L썥89+cOJ"@6~'C'n(G$yPP5;l~q?8[hIP~m5yhOշ5=swjϦq>fNWyi*pb*p6U,=[e6H9Z)ާ}e ak#ߏJ{X+CMlVy7ߙ.B{;CQ,<2Q1puz ~ P9c#J4w"%^olshjgiRrlFxsOJ\ 1AI [BH#AWnfXC(,_ıeF}}* ~VE͐Ϡ#8U\۠wQCWg%'95yx▌c9˙ǛCLJ$pGE!֙:C+2!,t/0,Ns+^K:J~^NCq"V y*t3`r|zrWHcvevKCpD;d ̡SA2 XKQ!ּBvCch l LB!s=܇LJUIzh}!/ j~bt;iIx7g7;XHSgI"REt fuxX!_/z|4뗇^z]ݛT=r[qBNI  `/hVJQ1P*^ nup|b:nZ33}*> ]Cy%4H+65P*ȣov pu2]%)$l+yޞ9J b+A\tdg*Jg=U,*z|C;ӌeaȳĺqكQBlowd}6sNj)|qK)t3G2K:kƄ`4qFG'-Q9B5貹]AzMAȦjGTsRyKt(VܡWwJ$_hÙqrIIwKN#q(]g'yc`,GO)Xk#SA}>n,D%cV篔g/Ρ-I8Xv0mwvesL"_AnT#eѾu0y>PLxIFs.X۱b}?]̆Fx#m7Q#ůJYU뇦y81 ;B$Oo<Fĵ^׮,aPHǹ>@Lẁ ipPv3債/mLq4_|q1k$3NGt W8ԠڴQ(zrRr8C-H nDžPBE6KU!TسiMGbYm_q:^hj28SDŽ'EDB̕'@DL]֛N. G{;Q @R!"low,/I}Pa!PfY3&zYREN=Gcx?Q q/t WO;71|=N-_(>a m86XF{a=dF|CQp8 Aȸ#AZ' <Fӷ8֣Q;tj H۳&rhOn%<_Tf4x;/1]؁Fk>h;dvQ]o<pEe K*9cMm]W0a0Oh}پJA=~vfh{"V6sGX룴E7Lp 9[Jmb-KOi!~6=Q5sb[3ǺO0+k:ƻu~ro <2!Er&| =bHc>JQ`xB__ֺ;}q"amxqǽ"z|eI{ߝzDŽ>t^Cq)YTe&V4Ri^-l\[ [ZM.hswimlEz}@6:uIs);c(ؿzdݧ#x7S[g}y "41JV)_ss-]UlyXHT5'a˼?J^*3 qC"[J놐{h^H1w_,kIi'8t4% Gr2@łpYl5 /9ahoaՂSSh~V >BؖbPח݌,ksQI\]fhn)]Æ_CD$trY㠓dӳ[` rʌ%؜:+ӗ 4~l|ȟA(e?u** $om X什,>I袭][AEIz [d282L=Ǿ$ @ڂ!vyXQOQ=xü^{aiZ&)!qpB J)d9d[GW:TE !F}B`XgFW`2>XvƮŅUE[b5%bdm!ZɆ#>\`.+ziP;h糟go{[%y*饼G͋ϟ|l\4MέNe/WroWsy,aQ,4%GA0&ǤvjƊ=S~FiKt>8B 3gI2#6wߞwXΕ#k&cbGR/. `L^͛%n@4[ pj;7PLҋb;Ca oj^Չ.piO1W ¸JK`Hfί%ԚSw̒U/Γ߆L3K_2}LTQרun[eh?|=SCqP5qk-1QYcF] ;dP!SV$!tQO2w>}TI`ԶYD[|P8 ׭XsRND@3j3i ~o$c A?TX?BD;PoxU( 0w_w5}ZjՍPZc898`PD57w,7 }"DL}x+p2 PtIF`@ 5JOIO#į`ep9X&9.In֏茌cru<%b3z 7\A~I2vfXmW|'2\/i[砚2woQGюIѡkxnЗxTH-EHɤMFli?$W.~@ _YYjC6Nrar%L0IM*ITLFNʼn? 4T?Gy˔r V\\>-enkmW2*\iGPd{}fܽЊN͍aq#![TI9 ˜ejP$xx-Mo &*hq'c7qY:lG]!Ǒ /2>hd`ۇiX,vܸo\qjyۃRYsG5y(G?)+S|[K0~Rypy}/Ƶ~*_*XF5kHkϚL+)$29p3~ro%!٠Z2a嗍* W@j 6onm4XO<$98Y?T&GN%y2͢ #0T8@vQ:\ԯÙIILH<{xɱ u9m&#y:b9:I9t!>l'?zX3_Dbg:퉱JPMjE%`>ԥ\EmդsWk܇S8n{N) ѩ\?oOoЖ:_ Fj_T=S7[)W@oK,p<|Md_=nٗh[q\ ;}%V*cצKui:m^#{҆fDSvWx8i(PjR!(D=FC"f|U܄7f\ kLj:cB(.Fˆ:s2hƧ@#sH~c3KvIVhy% iT/= 2c#EҔjqw{KGzA"YZg:C{4s֕>ZP~|?e%wf *~tf3a+.Ju|~ˡ/1$ 5IЩZ7$)"XZD;ttR\7֮iư$PӋBǖKlkma7yYӮ9t$c>G5 %_г17U_V&{Tg$DteּVoOi2mP@4kmlM;cyzs?]W'/=l7X4{^ci8|r$FSD^db+9GY>>gyym c&euȎ[BڊoUf fPTDy(?JV h=W̯wl|zt?z &H;q2%lf1sWGA\ ۨYIgOnlt[Рkֽ%҇W=aS bL~ɛ*'?|FͅjjطU>8CQ"J49}VAb{5{PMm >.l+ no) vΨ[lׄʒu/$ƗnnidAG=M}ݗ]M&,I V!hխw峖h&i "W|T^;/2)xhsO,oz=/1 8x%?@T=긟f_3<}kBnG|u]>VCq5zO?Wϗ̹L}K{.é5Fy6ua&;_ (Y$ۉI_iţ gE*dn)-!mmΐyAПzWWhCw6rx;]v>˭#_ۄ['F};N=E=t4CtKw.SI};oCo._Q]>=@rf`7-x\Z::yBٳoσ=jf8:Kۿ3O,4R\.ra1{OS?:if[Tx6x]~4yV[ _ 9wLf^<#v?IEUd=/Mr6~sƚ=9j4݉?+"9[Ēz1}Y?ܕ]e!: эѱTNRY>!L>{]Y':={uQ s}s]?7ͫoKe'@ȵV8‰/KDs*iF'XKpuϻveg|z}ז3y]J_ȡ{wV9yvګUNEF;sQEVtYs{:n|3 Ewxu]eYn!*g]@wST?'11|gWZ)dqd{m5|xY_gأmX']Yޏ˶iR-bu>pHj)Kϲ(UK8A|"Y1=}[`@PRa&PE9Ua{O?<U$Cwdu:Ρ_MHu9dN F|^>4f[x|%6}%ׯpar':]zOזC@k@L6T`p}ۜW͞pn?*\HG5[Ҳ v3{~cRayԝϳiR(|{8ڮLD.oc04v߹?UF$:AXi!ɽ}A}WOu8=J敘cYw9g_#-MNʩg_oxo|fe<}~ıuZ}zuu"-NѽBKfLP#zwi,VUlدQ67˦`LXBC Mɿhϰ.\և_P >&X1_K"#)!#^j"Jy~ףvY'Ԉ1aA󒔘 )Gɩnˍ;e/ѾgşV yOrs6)Q3$0]:8]Y Wr۾ˌWgȺjo{Op]}0tt|Swv>ge~wx3D9ZEKheZ]FlZ%iǀzg&T CnTպ*r|o{/I;{g I\f|<[YneqNؗNmLǓ\H1@E#L%Xvp-V]z ~}ݛfd?N  Kva,SHXThEB}EFGiWYxlfdW6>Y6~$ecWBoIjy{ZYGp_Ȋݣ.5v(Q#dSSߧiXf2]GW/fngس{5`F|R#>n =E5,O>"(+]*FfTyK-?, \HqwbÌM:t}S>g˫ͳK?f{=~f C9[mWcTCȧꙙ)6 3qӻ|mTL\Uo;z- 1[I#luxReϜMa,͕;EJ;L\m^*1-c_}8ZܶXqhhČw%x&w]C`{;CvfVpOBRpڳ^k[;f Rrܥ5kjߨ\esu=S;56$p;jD gƨ~jћ 1<*Ģ,W'wDV`4?~btȹŚNw^G%{h|?X.qX1ld/=MOl[#5NB=Mң7뤳"Rb3׿kN@d<,ar hR/6?ݼ&ɭos*:XibAXĒjlGYCܮ%Ȫ>LSF ޕ׸깩h}b>AM[]6R p#ʱhR޺vyhY,;:r^XPP64qO`+k3D÷ۊ/H[Fe3Й|{5knŢ1=Rpz9v ~/p'0I#NL4@?X2M@j/3Rͺ^u{()8jլvg&$Ʃl2~)&"C#t:iAxw>, !bj`OD%v0Rc,F=f_ myEQ~|yNp3 ],q%K+ R_:Ƨ3]'b=)7N&ʝΓZ\ۇ{P3A57*xO[Wc¨yC0e*aDy;\ʅ3$GoXs6c`!W!@@ ~rQjb\1e.5}j8%l > R6j+u .zBT:XJ9/hہPӨLh׻ ֒8֜Po;xT)Gt9&C}N@K仛j>a-c~": :,bgSn*5vj.]'p exxlDu7* v`QmQ׳mT쵁tmH欥2x2V~$>fN$@FU<@`=.i}+@Y']'`gh Lgm)@! T F)Fk}voX |?P④gK:Eb¯s!;Iz(zcZ1;2j9)ۯOԴ|s5j͎/޻7׸؟9[݌ޣk?_]ʝ/hL>wuUoȨ\:@svV2:(ڍ6ȧMjHyP /XCDpxZ 2UGj_(mM(渋.ETz 2'ʘRtPS` p-"Zn5v6(tij/Gg~m?nTc dw[huxU%(Fs%CHrXΑ;UD@SGJPFBA˲@Pkm7cr|*uKZB>æ^ 4 ,B#!̱.AK YlI_FbX3Ďل\uQ+kFtE{Pl8hԤ,]H c4':eCSنr P$<ߝ 'cdu:^HVtlR5i%{JRHa{5 ZvuI7R֨PH`]']p~|AgԃCA}p0W!KoJ3ny+ "޷vtCmnEy[UjXaz'Û3tVڻwNg%"w㍺A2[zo;ǨTxQ'55_8^qKCYw#?~j3:sIw-Fm;UjjCGν;:A=5z",](NtyDáO, 1Kɵ>NGr{M߂Bjld~(j(ћk7AC1I:8(Y|!XD#B_nb8Qgb8?Zc7zȸu{$Nb~g(A)WN\sy,d5-$?{{6@ꆙ,I1GlQBIEqȔ3ۛXCζ1P5_x̰8lW~-X #)Ȧ@aUw-8AXxI|/#&zEkqY`^>(v4u]-Q$|,Bߌ Du/\,{Y(AWh O CO.n:U}3*>{x()rň$c\Oe d+:QL!P}ې/xsv)qv(Q:~š *3 +ӑY[BbJ]Q_ꦢ?5FeNaӚR` *prJ@Mb$x:T:F$` ZwJHVanIzƝ 1k7ڒ 8cubɟ)/w)mp"15uM:KH%0(/|0ˬﶭ,l?{4y? "r/M `[{cKt]ȳӜr%7/l!g OB8+ AN@#.xWE< J)ΊՓrpr^l%Zqhǘ\u~ Iq31_҅p_|‰$$07dd|7C9zMeHW}U?)?ja[;IoИ n+r S]?'ܚbof&'ŊFSƃv1'6A#4ciٓW>)#쯪pWKfZu=&2-m}F;_~̊\nT~ 6@ۉ.<2O ~Cr I$ҙfy'UN.#8&n)l|{߰Ԑ[B]0Wm~[0vnIqJD/o#59繑kiz%=̵e?Qp8.>sw(mLU9*uH2ih"uB5dljɕ4M .b0ߠ[Iza^ ,1KeߩUՂSG9y)$Dode=bQGf/ͬ0ٙyҒ-8 %Ž踭ncAo+ dok Zhen<ܳߦXl.X @3 @?DUvŽω &.%0 ;tC_%aat󋀿Gоu}-1 ɷ]ԳFspqB8=6*?.~DS$azC꼀RrI$iftf(,زJ7BիB3_|KG;muLRpynΉJ0y'{ڥ=jget5|u=`+6 0Uf|vI-R\?Lv2Z_г;AbhU^[[97HɫWkL2mJ~.΍G0e]X9oyB6)Zp-i`x>4;o]% 2:v$4' \S$WMgtzLI(A8 엓|]NbęA+|RVRDQrE'3i,N:&~(M8C& a@ AnCPza6LCi?uP9;8d:ˮ٩\>gzSᚼ =+݁GUkwf\se$V;ȗFԝHts9k`!N=f Jl;Y]GTKo c?c ?>GenGw= @OWxw:JrB"|ɋf3W3-߼Y<I+)nUeyEtJ AucOSkEĆU}z!% Σ*Wp®~QՕ!|=`P#y,<>a3{#J{@؍8()ФT#L0?kQr]E]#Z(WRS=?!J|C6{ٚU8).4 zeRLX6W>y}u3?0V#o )`R-t UZCs7e<,€UHÐ7;Hҕ \dACXu Rsಚ kQw-|KܺUx8f2Q8A'p2 K{4nUIFG%f9ULkJjqp}pi-` eo.쉮t>?F3ord /sHK0Iv# ep\޿l'l0uyP%7"hħ<<`+q&F< _Ŭ֌o Ѳ ].8Rf1^Ț=Sbۍ5`O?βi7VJ/4I1o$`n05gġ/_ ܥe|$r3eKg`;uQbh! !-(g'e}0!z nQq!535mZE>4N`n=q:,'.M3=/ɹ2DJ%hƅIGxG+ksJyAx55qMp:#19"98'c&*c&De]up (A)ʼnܬ0 `Nmi?ą.A86:%S^Q<ԍk_/hՒa'M ֙ghz{?L듏CysqYS=[9G>h[VӍ3,Ĉi*qO.)10=]ZQőEYk0ѸH 9a<xҨI"&x0RՓaLzHGGMBec-ڦiwy,NxtQbFcNSyǑeON^bt)nν/ Rb )m͎ ՇT)[T%=,Bk 9d(m4 Tc~L.ę}{c-A _"_!pP.?I6)y=ï7(FYyQQqڎzDw/Hn՗,g͸Q@ρRW{cYZ6 oŷNm_Fţ S_"{WGͅOo15(s V<2n|Z$~;ǒ$-7߫o._IWȮ 9!˷Nt{3K] VDeog>~ppQSZu8eO_X3NmҭU﫜hc`fOvvYŠO#ֽW['Ǎ KPh| )NޡP79 r3|ȑY?b|  s̹RFAnqw"#Mz䥊]y!NEqJFO#Qve =y,tP Uo]l] oO ΖLD蔁AO$HJgUiދR=Ey߆Ofs2WP\[)RRGc/bgf[{ڐmKW^P @Y4JŪ?K҇nx@dF)6 {E6+}Y+C)) 㚉Ud@<֕ԉ)ymð -^HrsQ*A>98COx);`-Ê,̦FU$tO|$VPK FEԴ DqU!'o#ӏmVݝIs0CSKH;:*,/ycNjGjCɎ'nGZq֋ A/:p 㼤1b6>PkKk~REЮ3#fv`ܟD֪"{8.ӑFD Y 'HēI 4{tw;,"XOCs1[BTlDn-h?V!#:#TVB@Z$Pfp4 )sl;e&̄Q09v(0q"T|S (r# <nK̥%"7]O3Glv]ϟ]\E'H|~XlAnurm$@rޤ_oXZ ámQ>B$${ FC:YC,b˩u5gu,ӆrҠmbfCw;NN {eɢAFȆ1p@C  g7&>}ޓ 8Gho9*&qM(R\ȡ %H9sFyѝ_ke_Ʃ*d%>ZzK+#_tM=" 1fcɲ;`zˋ><5ȕy`fu\US:(;@Μ5*~JTCm 2kxۄ4&5}.&w9Y`| \`6ՙglMO7RNC ϸQ_n8dF&gXGuS>TX g8<)e+vԘF!$k"^2 mbTtr7ҍݖϠq!5|JUaIY^85<ɬa,"1 zL{>a8a:VWiC0Li|?%nN<u$dWd}^7yrusO jcVD&@uW6Ud޵;n L+ dh/=vYrHU!~+ĨFkvX |yY:6] G3aG圦B1;R}qݡO*I!̠R<&v!u]I #4R`י?lha7#% !.At嬥¨0$VK0>7:v0>#f˝Xɴk:UZ_V}1MR<ԓf&QfΑ&^cK|i9^ dHi#}0 lɯ>F{JP-䱠nH,MJ0oj-^)W]1PyxʦιoEyetHbiSm=L2|!ی6]K椨W1uܦYzQtWڻqM&nUmAUuС9b97o؈6qE~7ȞH=$cx_rKd S < T7^ifс'cC P^gS޷uӨt*%%I#0XD{%jq5̗7F3}1$Cl/"};бb1лljkIHhrk`u0J*Yhtmu/9Ǐl?!&&ڷ$դRp/#;%άM);D0gRZOim' G;AUL~w \,8mh^/.H$R= $R'*EkZN[lfTP/D4G$Ps\k8T.mܛLc&/?a% T&Fw%1h^71%oyF)w~޹av }SYv[xY[9W#M]YXbD ?5.4"/[qX!H8Ab;'  f1풘jl׿֡ӟW;? M]'M>n-O=m]Y17[Od'WKehԷ{jjH]]۔پ9\`$[iYs-evߟ=Ֆ!pZ `$dxjQ~.Cma K-8dI  ] sF3=%(;Ot ֍؝ o=6iGYC(z|Z(EV,|0tʍ|sG6'J]j`EmDplY Kf>4x';B0+&_&vǧ CQW' O J5Jȥ6,2X4El)3:aH{QHuܢ=BlXtݤ:"Ljһ A= x48n>51lE/9'eETV9-Pd=ɇ&&oAlKPX+BYS u: Y0!obh{؃^#+ti0vsG42046͸ /p6"J$#<t=qx<0ੰSޛ=?t#\r f#oN` QpTlh ^-=¬s9+0`G?+q7 f̚Kگsʈ?튐K?hE?߮a7IZiunIqlo2@X=آk tU'`Tf?w) ̈@p{߿|xfH]7Kau3UmN[rSI/,iBAg{mY}x`Oe9ݵ߭`afD7k$fߤ2$ \yV;!w#.1MY`ƕMV]@ @ ̣W+_ѽ2"6;ǝifK)\NPoŜÇ `O4:J@Ld@ 6 ed/THԕ1(Di\Z{;ݮ/rVe+rvISXXzaRGj|׃-\&Jo/۫>mcJ&6k ^aS?1Ds*=khNm)3̒=-^ǻ{5?G^CɯϺ|>7 R1cǺs/i+;?K`I2dREu AuC쇤>k;l5:ov,Pe6PJ:ЕLya'Iء'Ϲ)ɛsDjH€oL99X{JCj6!(FT2L?FxI>273m7cB)Y接_{S4ֆ1ݞG>7c-©PZнAp wӞx tjYt ]q/?'g{R=SCaH3Q-&sbQKʞ^M|3՟aEY+lsx ee;U}eKtY v_n\ú2Il1AKȇϮ:TTб?:J(lH/ ^,-0]jQ"-MуRd8[/L͏|,i^ Wؗ"_5g&-ϮGT/R%c?mG)MZ;`wi5f%=RGة h(=U֍/*EuR3fy  S ' QcH S;/ (t@|W*'YMZ8yv7,1f.q\1֚VU FN9ZA^Uva.wVZ| [mi vzI6{i{4sХ}I> X1lLx :IS |r9koH`wK> :~)fT9Rc`Z{!W=ҋV׮j }$OsH > UN\ S\S(-eEC ˮr6(D:Sc[Ue&rQJfP />+@*A'߀j5evNmTIu}!ˆv@C< oPn pޫtP@q6(yYpv.fU8S+E\@ߒ3?Ow $VRZ-Ǜ]ν'IJ8Ӏ| oDlHX!IDϡ#~S "?'VZхRc]I|eEr7Fzy,uΆ+oD[ϛ? EEoBc}!ueD> ÿ%|8v\]ߥOb?" έ$DTF4q FbS0܎6{p(YXAKG(܂K4h!-)rc_7<M>mym0G1 le5kAk0ZUҐlUeM/׀-*OUkP_d1*qW}u[+OU}hA]A~>ъ3#;Y>~KbbcHv11*v>N/cstYn<#r /&0$|22eP?Ftqtdm:Ƽi#SbA:<Ґ'PvmGHmk,nG&^NXD ` O<=A ^ uԯDb"OL>'VМaK5S?};p=3}ͩYZ98eKSqM!~|tİe06HKG~ qdMȔ-+ 7k,ÙZi$/=.2sS) .GL^alLO6s8߫/˟i~ K1kAu]CyC*'ޏ5O߆oZt'C JI,O0 X:VS:h7 w =wSPW<~#%J;ۚ:tUBUqazaX约x. ӒJ!Zrp{$,~V!gw!*8O|Z^>h^p PH۪iOƯ%IJДmɜlF΅LxU|?6A՝|5zOI\mSmrVQ1p%~9Q~;S MPUU[7*vnΘȨ }EET R\;7>hʐ{uڹq:Pc_40_1X8R%?!dze57'd-^T {^=Uge":TD6&%;<4xB2uvɲll7% tA񆜭v}9bwy@V *YwFN@Jw %9S j-f+Y=c:UϫTdnvnP3l \S)*ߩ."wo>Vo2V%vp9T~;.׾)Lt %- E 7HT}F0>ڏG0_La!H!S}$mTRy,V6r_îmۧqV.VKIidj+(kzVYڿ3gݸ:a~Nu+Քg6b'T1'Ρ_zys*LڪEKQ-Y }Yvz}\ڒh;$6r̽ p)p%ތi ^Tfxu#!gzNw>M/}Vh,VdXT(Cp)^;ܱz=Wa)bmYL(1^55Rуj;gװ,#?5~p"cUf4:Ғ|'Aw"HR^%?';(>>'MuC|%5RzSZM-&Q'5STy'f\l(4Fʇ0 浮 H{)}@=ӻ<3 F'PѮe,8Dj)?bP7縺(n`;!m6N|//!) JElNb}BYיT[Cw蹿[giu4S4C.O\P`$N2FxmZd}=ðv|G]#Wk\DOn:f1*畒 Kh؏jpC*3X7 _j vM \ZX03f=ѬEHYH3$+,Xߠx(5{ t?xA Vr |98F=Jޭ^|v<|F@=R}FF33e/b_aО(} Q X5H(K$ɅzKFMt4Rq@wWq>tB 5%u1]jpÊ7{~K|//z6ÿVGOn˥os<ץKQ)⊈m  5?ClD_f'jp::U$`A<2{caق:$:%ZTݒqǒ'EC)/pވZ7Cvq)?!j v%п3䚍o <)wS?@{D,\CGQyuoY&'k̞_b_9il4,#qGUTrE2m6IO|T8? <[!dw4Ż(d?eֻ=*@Amiu ?-?uC@rַJotّZzgﺟV/K+RC˝c\TfWٿu]Ou6,_mvZ^ֶ>?F`;L=M䓇#XȸSX9BiNA?v&IfK1d4E`'91=F$!6EI Q͝8c/'j MtNpŚ9Ԛ70(M?A`߄t.J>hRY2gdùtNUkŠ$Vd6 q>DZVa>}FWoKj OǾ"񀒵1Qh:f@&, ol w~@H^WWw"͌>[s*q 3Q,elFs;=4A'ѷҦFU$5vq/~<,E JZhPևaH:wc^&%Gf(*g{R6Q&=8Ʌ/ O^k"7ڋ{\)N9J(ݥ\ R'XXc)3"&uSL.?x6*41/}u•@ ӫLC=+hI; VXPݪ҈'/%TOC9pħ/f7Y!fx¬U :40 ImLa_//*[I⎨d.gNNaZ|>fuŔ˛3[`8BZ5.#?KK4^P7o$InP  ˶/>g¼jѳc*8b+EáLϨ3gl4agp {,Hv:ä^dMS*3,aЫ5E,3M.b^L4+f6?[SRYB>>S>Y|9ۚmdEO[~I8Ej ib;Jבܘp MEtUa~''}VиXv#`^$ɘ@z~qy`MчrѷkHcLvaTY>ٱqᘻN" h%%ga =ApodH:W~n\D'PSzY&nN+#FGᅡyL@i|!cL"U/YZkmmeIсXܓS\zFl>x[1Й?8Wc&č;je5zȖT ܒlw:#bW݀mȍ#Tq)֊=8DVAFA35zb 㭦5)7 ;sŻl:$!BY u;oDC0*315/Җyji.N}18Cf4fy'A9ZTړYSO/"p4ދV"YrӝI0kȳQUi Eh[n0#/ylMA#˹Gf Qa)NXk%?ԛZܧ aޜ\k*11g[{i!pqbsRlz- "&ޗx[a(3/u7VgBFk [UucڿM:ߤr[7K{}~ ,91Ul$&~}L'}ocUȶJJEv޹6ˣW7|Ʌmԍge57fuK0 C.gAE]:dzl~*Y=ԫԪ<$ Yq6!+'e iUKQ $? Ob{* &!1IG@Fh ?,aw` U\1vbyppa3MȘߟ2'CDCɚ8cKξ۹{I/dסd_ Ra ߛ T|q'֊Z6o)h7>E`,zI=GaNUK>3m%׌J~H+v^\$YE׽t&?C&^ 6@Iuekg#GB 3dS`M"!'ÔvP̈aF3@WfL9;A?5VaڦH$vߚ4_'Raʕ1pձHRZj`q2eMN5OYdYJ)'$?UM$ 덏*eʱ%06]2g*!Mp_RЍHrBM eq I oJKET>*؋*'W% ǢwbM/.Dt5% ~,Deͅ =C=]Y@ *e+]\z87XJ.8$g}sL@|=[LdRtg)'Oyw@}P _l~R;sDnE*~hiw?ی~U˯ّۭo E+qIkv{#n͇QIӥ߉P寙;O_M. u^\yIuTM`~a p4>tQv*Mڬt/8iQ? ]?V=VZo_JejM(^UEI m'6-1Xذ~ߊQ 88R~ðB"ˆ["(tFG=\w`zÁ`\}4!C|H]Kͥ`1' B&q8(am͌?P588`X6$NڞZnŸ&pE@8m\ W.1z*>UE6P#(Yu`7X* a7hŶ(#rٰƂeB+U^tJ;+/^`\a K>G`w9To!R 4(b]H+P֩T[d*z1|?f(ө$BE1'w+auAp $q9fK<TFbC=?Ig10yi(ܼ˅鴿.SwWBi+W Q%&vSi[G-ӎJA(2Ӈԗx?r?I `y1G`G+M2;Ms8]YSd!kS<Ǯ ׊)c kh-ddtťy8P4DC[$8kJmo#6T5r&`Bclk_: bZ4l82DHneꏯe9RQjF%߱Aۋ90>0҇*`u H?%]IV(E/+\⃗s9?1튢xHҬRKY-e J9&O.Y$q(6t~mtyFyZp8SU7*5s^[5;ap?!8A{[n;:Qٟ$) ٹJ5**EDT*Wg4|UiQφ>O'#0*]y |)]dfZ̆STUŔ?hڊC X3J`uɥu(eTyI?/&nF ȉF }[zxW-F'mԱf@d~b IP [/j@s]RɷOQX;Cm邛wɛvNq@6'o xGՓ򃛐^]>tW;z|}qskEmO CklP2tf<zzZiW bj[ݞ /-PgQj@̠dN}CǎЈb@Hbѻc}kל XIuM̥d\:C,p82/Va9+\cLћYafR ;mLx@oiǩS~=4ga0)UQ5 a{BUxdÍCl+vX^oPro vKS q UPi3FbS5HJbvA%55GX_}Cd%]CڎBPui_J([p4!-b x |a&eWI8qI[b)K8/f҄ D }.UEKl%Fq0k ?J8 3L_Cl]k*_cx#YAeLy'O% MS9NDZe#nZJ;@QyJT{6ĕ"1ryvI`[g^3'|,/ |dL7b=ޔ1ۮKxyQ*Q+'uώh66%Z3 v_Xb{3uz9jyg^$Vo6Ha=zfشhHRCyl/g'9T&Y( O ӝwՖU+%*L`*Z%%7Βj h5J%3!;gzTHJSt]Wӎ،(l>r!&]BHg[+A YD%W /p$yW,"<=ə]8O$'(XFu{Ѕ3e4Cyc2{%a@cbO:L(0b6ƀ{鯧Y6{4K3]U;)qT\q^H) dq(|bo̗A*C]euzF>|pa Zʈ8IqBD懙eKaǻb .uRu ۚN% a/e%1˱]٪઒qhç"'WrATk冣@+u?/bAW 1B \{DON`Ah%H ߷ N_,l@{Sť!;*x`!) '4-MNB=0;zrGВ]WڴxN0ljlSwҪ3oOޡWf:T*yl7mԽ/%mDzn:ff:#{d"c{;C(櫖nQأw5u#']Wy%(>~:u'~ d]^yn7[щ(#IbAeB*Ȑ0 W.Ɠ˔K/z_)/DҲ*+N+Ӛ46)7rLȞMPS%0 uŐPd!^\'C6T1b`9e/'b!=M F1{6t$|Q AF=iq&db 6#y)xm@_ %Z4RĿz磴M /*Txs ӆ)A 2'n_{:t#_-N$8X|6Q[sڇ z8XA>]S W{KT#DMP$pL}B ; Y.qh{/=CnK{xVN$,ϽI 'ŝDI[kl3X}xrTr#'#sa/˗N"#;t^DLf)^"&MlvhԨ1iB0D?}1bQ /HK II.qd65F#B%uҥiav}։۲:p345矩QMmZ`0;8,IIkp9,F: j0'fB @ p\3R//y]_M%z3%/ؑ3 B$dw`iZZpUpR2;e2}٠?h7#Ҿ?N:fdI?ED8"a椆x!/#ພG{%QZs}[**Sp:? ~D+l 49I)ZRу7c(f,J-0wĄ̗0>EQs-`)!tKJk?d3^a6a8v z`;1RxS"ERײ^ϚK~Λ~k} w 150SPy\kRWɑp03>@v/`HE,*"%M9cwjԕc5'W{!Mh}ްW NW[X|`Mw;XɄ:MHM~+^Q I'XZjN6[3I);k9D.0%ttgiKr֭Ib|1n1~.wWnѪ-9$K/Z3E`RFt8(nccl=[Ҵ`1x_JF|+Lɜj3=S2TO'6 ]ϓț7;F6޺87dxn?s9vl;cȧ %~;,rTU!~Zw WZټ3YSY5L![zPVH6&ۙz|&zM#.lg;mTI RǮci K6;BG A!+ ގ Ǩ! 9&bIfK4N0e䨟q(ѭ>'I ~+ ҕ hL* ѱ CzZ!^=!jqVVp+2?S\"E *^0fB E6o 0-L:o_KI%>)Mr83WIa]YLOjfY6jXJZ4U4^MƂ}$*a{89.VR^+r2]M>I9pR٨&dG6#6?vP BUd y-pvv8Ge Sm-cǽ)8q^=N@fFؒ8EB-oH*j0/ᡂnt$9zMrJ9&ȖYsN 'J ԟwb0,?`rbwS!:*\{(Mߧu&nM-ll~|Ϗ-,yY,+zoo?Dh`қa _!S 7ʰ ߍ;'X"mHJ '|ul~evMFi'ylsD{?q y ݍ\5[|P`` ˴P=\;u?( @Y̽^qC4b^M᪹KE/D`qգ d>'+ fWn6q2Ӽb(`s1ti}\UrPe&0}QFHzvcfАc*0G*gN>-3!R#>1oHUy N_(xV+;pp;h9 5?I!9J|#ms~;ɔFQKz)B·\!]qT `&̓G ("1ѦR` u̸m|ǒZ)S\i1"<SJ0MQ]W1mKJLHx^sL`iÂ%_Y)w,-Sz.!6iI>-kfQ!@ B}JXYڂu~˘,U_O2Sw׻WNyuȍ+1:WV&(󭫁S7m +==otxmYa9l}D_g=-˦̮C5i[ͥ6;MM=i]b|e޾Ьmz+V_ 76~1 $3r#"sP-8;XHm A:ÙFrF"X8CQ~6grx2ńBhZGT²z 18ޙaI䟑ܟ'9 mx![C oz %3r;1șXnpYۇI#Ay'8-ꦗ\鍊 ju0W ƉzJy Uj!A'/Pա/ h<t96mԇvLZOkǿz$rtXb'[]KqR5 Kc+y$Z1OBe,6i ,RÓ|~i1`Їj5GC0XwM.+ɖJ cJL /О=l`].cf` u*r[F^J5WNb)+xY{3ra|Ijrq7H\ G.7~;'`#'t#Se r)ّyqvF1dZKzNTm0R4QjQWguF#OYm<8Wz;P ֣]ExTk5w7ty~Tg^o ߺ%=1O!.w? `&/X6">xNE k3-ŵE4gܺbXhȴʨP5vaK3uUC#w` #u8bR pI9Nz9;:@aq!G̩B԰㚼GE&9 vؾjC^@ &3tGLhLBC]}`pGGTo)pU0;ּ0,3@jIiuW%Nzxs4BJGGL!Z̄d dxvJ8I-3G(zyoL;i1A>D1fϝN?<::!p><BX[gC"ٓ#rf#y{bi2$q(5L**9 ~[}Cc8#J4<OԚ唞 JGeF)+EL2y?^D=0`O[+HI^đ^\;I8|ؖmG7|We !qک)z)K6rnz\ܱ:[/K~Xqw^-8.AD&:0U $4m:}nI5ŵۥV*7%~HM$,Mxj;ء4#!\ىG \Q{_i^ye+3N|ʮs0QO~NTIQl j4BJ噸9)`JJYxo+¥W56~sr^ BMszab͐oq-.uͣ%ne(uK a6x.N+5c1k>r%=9ܖICix9AD|NQ^#:?pjuz_xԺ-]j~6E59ȚhCXsdvnq}m+R)Gs'>@Vԛ/`s6xX_#cqv0?a'OVҒgv"jj EM=hړwgwN U0q }Εõ뱞Kqڏ/=MA%eRV87˴ǐ~[TaWyv]}q: ,v'*e* ԄZ7'-.VZ{,,o6~i_Apɩ.8|?kLJذ/Nhd.hbh^h&`q#wJ=y=sVI>VI`LPBD#\N6B &~ R{-Kv˒wN'])i,%;Jh=,!CP140F-y'kUgF`pזr=%bX0?%Fç|4LEljNpZ@`@m^DfzZ{$ j x>!kX~H({j cm5|5&ӀJwɡ :oz u)U3ο&3A*56jD^]f3{hhδl>ؗࠧQxk\9& ˱ϹC><{C"ZC/~(jagZ捎ŝ$xDRMM0XmøO=(R&er@vJ- i}O>\Iei'Q0&N8.O"=V,i;y|\`k:j5PJǵ5 ;ݏOo}d d̞xx3? ԯ~ܜЩ]S!ׅdl*pH|[!vSFY bs/ ||iLOL٣(J'0ս>$ցr\;qjKxKYs R5_h_ YƯp06ûjJ(9(Q:ἥeYJ[u#OYBr92 -ouUӍR˥y獵Uqy޾T]Xjl=Ci)NrȪ@ҿë^/<%]'yez|+_92@w\9YKld>gX\5nLudT4dȞ*o^1Ep0t"L1?fԽROA3|6=p63BPMNNd1~FLjfZnf~Zh&kDNO *1@dS y3 S h8_"%H;m ZKODJhl=<^b.Cx;:gV'C?.[+ q:Cd̪@\ړZ?q-m^LVuil$ =f( Va;McTh &ԼhZmtrq܊ cI?=.~Dk Z/zlUqVC*BeѦч'ߚ Cɮ*&׵Pe9,֍=5i&.rV@*}hD}|^`O =6 eL7q[M*ɦy3;ؒĺPMtU;U`QCCTh^(YJB>SCchDl|œZI -ƎD+LꝞ>`lUbA! O hd<Pl8Q@Km̻yW9t':kvqA/yw%Ub嗯wVbٵn;Τ93v[0lPX k^o+Vrb,i$l4,̻,B.8BOM_1e(?|ߟ3fCje6TC>8k@w{`'[y jЋqwZ0ѥ-Ő>e:G餄8Ch;0;B]7~⛝zŎR1aJP]Dh=#YtwFYzȮ-5^58PIEXZQu64Geqv^uPl;!#cctH6SBnCYubF``hnz~;gX*Oh!B(ȲBC"s=GmJ_r ɔWT|u΄|W;9a9tGe7v\A-?-ވ~BHYF¬1n;倸f+$ Ye%Y \^ZAέέWν12-rά@Pg?FOt7tl_uG( bΒy8 ny]tO0ot`X_UY:'ҼvrAe۴f{GOY b 29 7CP\aؤ2 2e6(X1>鋍A%9>Fc0^\aHKh`đ5JB&63 54x$izlu0btU4nD`%,Bhs]kkXRQu %nIߡ>a|?eZ$^j//jeHᗮxt=/rx٥hN'uUЎczӇW]KZzQ1/tGeRI,VBHWHEh{*bDl8<못cxp.l;m=/dQni?@zC@oId=ЂJX*-UGu5 w+=~^;+j9?M֋IQze눈Ja<4;iCxN_`'GQ9rFϐ/@Z\qdUA1_~_P^_t޸i63 4 V$pğM|i0?^jQڱ| ltJS\ .=U.\ ([q+KT"˂-9#bW c ،J2$kJwK|.\qKpKNh`zL8-@EeJ0e dCH?(`2`h}?VjhtӨ g0FNg9Jݓ:v\xPoLz_Ɇ:^0D*(gW Ap +V\֏bj'Qyt„n9LE`t,?θ˰͜&>SE0e6)=kWDVmc>`N}zY$ׂ:݀)Q&;49L,NoL$k`krDDS^$*ZrToAfL$cc z^xrS` #bKsG xp;k`U9͎S-obC|R}m?k##M<& __``e ƴ)9P/K&A<'68;= vc/  -E{Lٸ 7JS,اQb>*çiJl]nwrkG%|bR g+s]w)mPR}L:7NT2q6^1X-/5!Dmhm牲m2q^=/E.a~gm˴e^ܦ0>&ή,xΝ͕U@0M6GׅuTӷv= !ajHY.46}U R.'kH9jP> [lK~[rӴ6Ż ZOE$By9l=[xƨ\t֚W{I=mRL[wɑ柦o:Woߠh?g?u9ߪu dDbVw=A]#n.ռiG_fuB|WJjȈ吻6|QX68aE ^Av0,caz, #Na3FN3U3:Ǥ͏ai9Aʘ:4b _Iϧ4! 9.vh! ZyK4ac} VPk%Q6fY~$pF>#ӇIT_l\ڢqYHr 򝹎z'9w'ױ΁ԚD)N֍(8qV{êXj*-nPA%S(-`7&5@#M/kq|Q݅ʱԯ!kF{Ms¡qݟ S銐+`[V)ې/t:?GžAdR_ a!DPBso+Xl 2m,z?jk[ &+酛H}FǣU~JJ` hmGv[w8?qL v @Q>^7VQ2"TGefCc<5-Xhxno:W CYw;ݘ.ۉ>ȺT+=²zF8>0h@ۈW~YwF@xfOWn&q_2,nORCjIww1/W cadA,\yKQI 7A,r̅lüM\#}@)Zkq䂴ZFU0Yv?|# ɇ1;!e mm Ct %Uߗz&u %ZQxЁ/ZX lC5|r*]n/:K*B~5Bˆ^{;aEi5 u^cWՋ41aaG+@+1&#@u)歿/:Pš B:x/(NjDx5(.wy?I͍ K` X0,Ǣy rMi}Ev>! x3e5ǧ}s +0u0U ) !?SK̒z@>5B؃ K)-r,ھ)-*1wa@u>idK۷̙?!l+XMcP$ϔ_kحp.12&JH F.B*:/[=Wڱ:|%a͇G}`vq3km2zFs(+K!%E<,{(y iBQCB]Ls>(Ӣ?Gag\6A3=k8?Q3C4c,6U&r}`!d ;0vօ8h)r &w+:f4st{@%N 1HcaCZm nj^҂AG0M7_LjT@:b%h{jj&6~U!X[*VJ5/0h<ݍXaA"O ,yS>2\y}H :Mh b+ 5cğPߘSBZ^*ab ]2B ӈ8j9}Fri2cv q,0ǃ2WIp+#=<ϑXT聖7ǖx2;PuiI乬s[ߔ?\ !~DE8|Ġi"”"kJ;a<+^g &쫄;{/0. \!l$lx FJ !Z)uݕOZ6] rFܼEtn${h%:P`ñ4[Wø BOv˥›o%r5a5U.+s $| Mk 4 ?=!5,kK$G-տ5h@t;:?vom&>GrLZaC*↭GyM!'VTGUS{h5c9-)ʫkW0TGbYaX*>.Sʤ 8ʅHtwzZ|Fa}ba/Hŗ(v7coLe؛}2BQf>f$:lyf5),ӹ,+p+Jok[٫: W5 AT44=zjjŔԖpvt l*T}xS( \8?H. 320^ d/>m1@s!(b!x\McSGA5C1j,5d_D}0X.gxֿ#¿ӞL|r|Qp9pX1#|4Mஒw\ Ǜ],rFsqvK@T/4`/}P+F_٢])DےCly+bt XRVX)tZ%4@r^aWwMv$Kk/C7qOqtr}sV _"Mn&} 'j>N$rxYMt},P(3%vx/݇)ukdXkFo%uyee(R*벪4I- ᄁ\ʴoф4G[&Ȥg>U9ފ3aImNd`}Noj+cV\ ?^q7oCZ?ԩDu2&M oϧϬK(@н&[\V0mˇ=lzf,mg#TOoEM鷝<5 bRhn5Wb;>if ?W>_(7D{Z/ܘG#KK2ЬI*)_a#ɇO :?Қl|xFyŠZ'r`TXC[ %{&8t(STC必mMC%sջ~%] +gr^KzurD^"[ RFı;GV+<mW8l `f" '+{_[C7VD,NDŝ!xm ݠv>go N1td`IB~8 LaBa5$1dlȈ}'$CV[r\p*sv (tú!!ur^8 gXvZВ[}Eb8︢K8 ᤾~)3:rFs[O |F)0?j& QB)tKbQEk RΞt ƉF܂tjZs%kQG5SX]7u$/&\It+F+s# 4K@R (:l.:~:<: 1Pv ?_^UjxY&+0={N:]pPVrQaAX_ZtAta p ח!K6hp|qa l69CJE{&$H{[5sTM-V`>_ݟ'|ҖV*%0$i1aόQ`]q|%~aK }1Li)RS=ؕ׿# Eb˛:s#sNjA[֢=hGșӍf7DڲJדLM-(4e8:t7y()Q4wj\v|u)lOG@YO']ot  7 I83HC 0VD0Aaa'o>~pوq꾺C' p&/Ȩ5#gbmۣ #=Z, D;LD傘M-?#MT;b 1f] wX՗/ $> 1Uw MjޯǢac\lc ;Y]>]a1nw솞]tB6\niDyz!\~זǩ楊]c;N@l=mo;<2;M;OqTup7X?.֟QTP1O؞݉Pfrw(!&tB -d9BAOZGbTw!$rJaK1= <#k ij9iI6G>cw?9C6;2ć4$YԆLIЙeuomih*_)U.>QT0mL񗋇v{=_x >_YT}Rv8kv+S޷]"DF?Utd|Uw}ݶV؏G,UC_hC5Ta$7{րF3 J]_'..zbx\Y95 /_P9 ɖB o]AI%Ĉ (牲[ٕ!^``YX]eϣEMxr,."b0}S7ű!OBpJH +H)1-XHnl!-Wx{Hx-N~uJ㼴 71++PȰ(f œK hz#U@rTA!W)1.:Y:B]v[:Ræbc[s*Kj_f*_8{a'id=Pk4U)Wk(Bג%%搶`Kܷ$sIw^l  ?@Z"jqQ)*&g=9+Gqzlz1Zѻu퉍yX,k ~\ԠosN{7-B"e&+saiFr5S, F[Wi[H]r:NΧzRiZヌ.lack6%GsE'd&[# S$?e˝.x +@ qE Ũ)8 {4E ^ڼڪ\mq;Β䙀ǭ2P:u%#^}=r\ ݨ jS7Q)gF$:BJ ;Ю2t8IИZ?ʩ%]gN 2iq9$ZMFF4*? },E2n1 2z盯NGDzd s31Xouގ QP&EFX,gqޚ] jm,F*I"C "KV$@b{t,k;Lyd?'NQְ{^4e%XO^iygUؗ6qG3˧JFj^6vui{IND>b@xAF¡& wc!qr.!!lkKb/{!{gJ"=¬mV^ah<>ET]N.[Dy"G 0(;|C.pr#r3T:h\)TKQ!IêYH(Rj? 8HpDPy>.GIжt,/zψH&ȹI+PzFΓ)Ǣ)kPhdcdS''>%w}׺^A\EdA荈yF:yivICbM/iۘĸ- YՉ$j(w6 =j٬@le66E%a`NE`q[~Xq~qKZxg@&JI4#uR_Z]MZ{|R.ФA4, ȡWv`jiuM"=Јɲ'ᢒ%Xزf ɨbMGp*@ )kVR$zơ뉶F !r-K<@qIBL;8e?L>,66o-x"bՈ *cD:dN$5aV{Y/7^ ɛiaO=TL#. F@rhgC5V>?FP!kX1G>0̰쿐 QBs1m[ ~]% obs4(7d?%R'^ԶyOUNpI?T2NʌgWZ?<@q#2&2Wu"㙷>/X T%0sNmzssR(N1]w?BrB7XFKfoҲofϝx9qRt3H-72-<%;yqTU3ugt{g zSu`垕qvh >e_~AƅS /G[sl㞥 U1mq|x<1 aH~|ݒsx̹3Pe>q*g"42ՎoL'JhS,);J72y93. |Ԩ4M̬M(4I}St6Y/5X1wa$n Xe#xNtlVݱ?/~~A`x[R-⨐8kPh[Rbu#03-fep~p{z /*:úbx ?FYd`E"`ݸ#3y\\ZyW( yhNL֐m?(gz':Hhl5k0sJ:?N?."N- ]mMphp9\:4w[/O1ۤRoF*aB);-OtSxw+콰$BI"IFdܛָcx*G\l@mOy0IPl0Ӽc* w&?++m>?Vk/KM+Cx\`m-Uu[g4?%ͯ7E>&n' }e\AHPT{/ks ʆmj*OWyo{tFVkF.< 0bt]=8=hg:۷D?vcʒ|\o #6ς*'R Z `@7N(yݳ/߫Bt8AhS!:5 _>M(jKqib<×ܔG"(CËPG$_HoIVꊔ1Ar󗪯odN.v75s#+W{{@瑶G%~߿})7\yC POrDi+">.~[b|dl!{ )iF#[$b}RHH#e^xEkDZ*3jq!DmϧC:c0sgF"IO O-nֳ$@ Hť?UY%cN.}I!(@m.;o;B׌[닞Sa%|[C.F@j-oZŠbhyOtWzoC^ Ũ0: Fi΢Ȫ$& NC({Ojc5ټ}JuA.nI]|`: 9zJ(ۭuYEfgRnHZ\-:G f4]f 졩ew`t*/"ʞ6Ճ$#~i$Rɠ/rqxoxMX_LՑ9_pu./L d3OUFhD`v2{IMw3YɇXRjo8s9S+y~Gf90as] \r'71o" m\<4OPeUnWmSKX|=t^-O 'mdmGz-eUlv z5u'ͷ;eviѮ>]s7ff~N4ODIOoB^*n[h+j(gM͹fW[|u;}M6r'+5"gL-!)W(܁|xU!<9EyRT'xH~;=˱=’{sx+O+y4wUb[uwir%hsWlm9΀ӧHd*d3rǨgDl1i.`]U+Q)些µʦ8I}8آ!ũ#UiCxN!'\+A5@(ίvɿޕޫDˍZguS- 5}q&C-YHѱP=h hmޙ횕18\1wǖ-LYh$u<۷"YQ_χ.,>i.?D<мN>*FI2KWVCJl!DW #@u7(Nݲ"Hr4+AƹbbJごqz{+(qoFț@+RF(Iʦ%-rzCF{/|* n^V BELC0p 1 nXZWݛ8ئ 3$"hwu+@r;ld! ^Yp PX%i<.3lG ]GH}A8 wS.SQnH MjWe4Dj,I,zKsv{-'IsRU1+qwiΆ!O/rI6׸2aL" `|8YɊ*s*NVҢ ^/r,ְ~jn<PNpDZ-)=~I;}KkgHțlaJ/Ο @k]Ψ|첞.GNnQRX\x)禭id ߚa6/lSY ;چk >RXHZd2̲\}Q~J%JNXb|0%-)[:#j@6eYWx\@Vg9Yj{ziIk小3MLħ=ݝO6YG [2'J>mI>Ң|Də1&$j%K:c+ Aɺ>3)3Or?&5EGd,A:} Շ߅h3;΁CT>%U+(&NRPIRdLK=h ٩x5 _Ƅ_oy\6D`k 9k~-|gU`8ZgmLe[ҫEo|DP9r=6,]"u}E2:Va bˡI~yD~zC}([y oJ}z+S\e|F]_Woj ALw =')k^ YF_,Y>nX, E@nѝΥE&~cx14-ٸਨ1O/I%Ɖ/?)"Eo+"kÎ:krz=W.7a0 `.|Gij' qh\K_-DV/EPby|{*zT>%FYЇ/N4ҕ@7b;۸DߕJF:p;CVN+N'JZx<;sjyĶ8[][^ا=@dIC)z E-gBV=Zu8ɪiRe?aw4r$ғaOڜK2T,[yxz/0F{t1^t4[BE;-9V j˧4 4=G񣨄YZ@$>%a]'Be#o5^Ћk E%?j:DVl{ҞV2H3aiלQ)a;? ޤ{E@c;ϊ>O}+ڳqII"ѣҙu]u !\ʹ9SEw_0.sق}c8eq4E~S"7g*=Z~C>jPIzEFv.ŀ_1i@9ŀ zNaq:x}fh0q'"Â*G~$TYt,/+v1Pd' WFB%Qf,UV`NO*s6,7;)P2jUU``L>wڄ&q0[xKRԵO0D+qN xEza]ٕ<(j$Z#@հDh"o}aKPҞ@+㶹>c,ߓn.(fнT44N'V! crʼXmѿ@r.iEWeGrIRdk3E3DH#(ږe7C])TXC?Xfᅬ-ij/)\kwqYN[buxR\sIg`7Yȍq">{_Oo76oqQ{uc'YF\sbw?^Þoܬ[1[H󹦭zd޵ 4SM㥰yٵZS/c?s'(YyN]&au4&M j5g leG?G<¦dyh;ay}_ C:.;3niЮ%"8&p?,,U; 捝uelvA*Ӊ}lK¨EVrE)uLUu,ߤr괳sl~a72?gdl;AesW ,!t09 < Q,(HCY*}aX0X8)6B``L D&$'?ˁ ہ߁bPRe-U*bQ'NET12T34~*#iy }K- ;rcpb2%g3E+m˯Ꝛ>x^l2XPbZĎJ'%ga(uXNK=xFRMy~J}"6Inx[LޝVw nҥ }?g'lc:S!r%Ƣ25“vk}} ArtG蝌c0Ch:$^NQMJa_L!]nY(&ʵiy ڶOJֿuJxp'>ܡ@$xé#[ !}y *' VoI`'F[쉊v84|REQdp.܇(n396׉tlXUiųlGT{-op~oe 5؛˚pܺi]NHYia^=Mp/T!dUBy.Q` ! C-y>#)l_oOBOQ0L?&֣{Gm/]Ppv42?Cd+7/ZxxGO盏<懙o{c @jb,Rp!b0}6p>9?>#7b4~/hGkfD̎pX@pVu12/?cx" ˣ#ҧT)ZG%6;B (oPKD׫ODϪaup>'(7j!ъ>M>frTdݨM(ivw[}&=j |⬩GdcD̖K/sֻ T׌0"@fEᗱt5 ~O;,E/qaxt~} l3ƟILk34{җ1&S0#Hfs +6At 8h LWpa+ 7AXⲐOif2a^ C 9m~PiNE, &cTLɇEM 0Q&|dUZ>h7`]}tc[|BTvR&1r졲^JJ_C0eM #)ޚΝxc݅ܖfO>إ_ ȸnAH@*|:#dj lLp<(Vѽ^ǔ̾:O+] GL n|ٻBv%,/El,WɖEG7Aę/z@:y o{ኢf\@q-b*?~n8oJhoS~bEq}ZŕifW.<{ٖy0kJB^PnMgaM#Bۣ@ڂB;hfv@>hn |U Yi]yGÚ^Vajhy5wjUㄚE>ѢDEEdlӳ;<#^W-v+L]lwi\r_Gn~Ѣ9+\fL̵vдUԜ$W{'?}Xsz[mz|=d=cHsfh(q4'Q{. ȁTCtzO9.Q?\)x%f :%&j @YѮgU|  %.ڐ-q7rŽ-@|RzR4\V}B[uTf ͨ$m BQa$]]mqUU^f6gҞ)H{A/Mą1\2k?:`md\d&L1Kmvx(b{S),nL?AϺQbp/h4k{V`C*uQق3Xf-)Zm=ЧUrU# \߰AR+idz"+"ORy ƒ_h 6bi`4LO l_ES RӠc-Åi<(R³S_zzw/yyGM4IYs"ܭ"_dY1mRcM(hX{<&\ 9H/0Sg~/G+fj|H՚›dPy *25ImXK:bd q Gs‘-ٷt_DK&O5-LEMuakĞFx@UuMȏGcpqGTFt-?`_ DRKbˤ7ힻ&!.3IAi! }>l6\J"*BD)Q>& OP>HR";)ܾw2XϕU#-=Cbr мqȽY*FQ&WQ/f^Z8l?hP#jؖdxN97%pT'4H*+EIlKbo@i ®P`&C5_jGzsG}[9qeGLu5346`erG^V+YR_I+bZxM@#KGsB/O [w %cdteTLOBwH}׼4=.6~A' C'r.RJ{V+yGA-aGwPd#N+ W) V8Î0mʈgm!*LCf0O[9QP9);+Վ6IúٖL|eO ސ箟0bGڜ4rPqh͈df"o Rs$nSh]R+Vofk$/˵Hc5Jc/#2/eDE>amI߃~YFծCa|t$xr9VT<ԯ d6W؂,aHy &R36czaq*fHߓj6z+,J3I/-S13eQNd[U.;P 1+]:sFֱ@p8^YHNݺi# ҏY/wCuN OҞdQ91ļi/3+Ak$=_x`I/;v`6d2( C&ryHk((ɤ8C$l`uެf9$´S)Jm,Z,6)4!0]GȚ$;_o^F٧%/P+pG-0ۗs]#*;o;c:ޏGrZ7N9;" ᡻tXqr߈4zBQ9k{h?RH neNj-qdƭ +҃9q'lF]IV.!҆icx'̏E @W{dsib;܉!͢ +O,dz! <'!GfK'I2'^1Pn_&{t1T"FJo T֝')p}޶HcBV|Z`@Eت8-pظ\i`8NNEtztI/|SMO9 wLQn 0i (DZSG˔eE]mtjp,6⟇f~[lѐf@a1U͢Rk:\ޭ1v+ڬ=꼯7xhٳXg1qȥ9xH$8h JU>CׅR9vsCsU(e*/h=tFWҿ9?ڐc#!/d!qH*3q q3>#5#2@c 1!0t:AN@H4S{q'4_9l~jY'آ6/j Tut=Y_8x[ X*WVOLƎ^, bGOu3“C( s;Ƣ"ozf*X1>G9,hf1`/EPW0fZ`vꙹ eUlнGEn`q;eoLB^yec}r-,Ja,Mɂ*3g`F#Zu`uN_ o J}{ǔvN# ̲]d=-VЛ&{ᡵ/^yƓ@?ePUYD>Eni5*{ L1'ZEI/h!^{nv$;:w\ /KcˁC[(ԕPx3ǣ"?u_{.9צOOOr?=J/Ny1)If1N 60,i2Ym٢|uZ}11r, ȭfp ^\۩0n.WYilL% H`"pĬ7s cx8a Ν9o͐p7 [g?\+C~O3co8}/{DB/bF\Q<V;ϛ| &7#,}r`L1Y\, <:] <\_Ս,b|1a8WΏ}\8vq_QF= F8>PK[,0ߗR%2ȸlR ;)6i=M9~g*"|X/A]KёzR!v{g^F++6|y).HXnW턿fG؝l($$țQze5*]_2=A:jY \'3Ɲ2ŒWs5k-H3 )aэ7|K,#ذ|>IQ Xf |bjdI~], g4rI^o[Wn]£Iq2Ge3U\֎,8pn:yY[CRߍެAB >,ợ e@P =8*XI8ڒP[gAeIVZG]ix|^V]=ӐDh=U?A//OaqQJ@Z&C w_'nRSAo<,34̮212027ϼWί%`T%XihC=lrƇOjs|p/p; Bʽ% eeKWTd:l󋳳e=;y糑6:+3ri֓T\Sz ))oGӰ?cx_r<+Gh;3F~ "4g$*tfBXm'|for@ YAQ%r] L !C?'Wۄhsx.-9A^3nNhM֫IUd ʙ;3ʋeoa > ^:G0@XGD r.r%ިL, .Gk45%wBļcGxzZkB'k̿RUX"/41@lhȝ s227QOv1Nɗ1| ̡A<^C8ؑ-}g z啔 6D _b;OJ ¾#k{Q?^h3ȢW g4B3_9N.mD=WDJv:>p3,@U|$C5x'8kR[oc9iEXeߧ=F䲻$K,!Gǯ*ni瘦"$%dؖǚBIiK$K%LVf!,,0L9>'Ծ S`=/G= nQhnXt=|1#Eeە s i})*Ftv/c+HO"_ A"Gr&Cr,2hSW83V#jģM!\L:s6&5'-䙐*A@ (=(CW4{8?XO9奕DjJ^2=<2,ׇ \_dn8~w.hP,<QYYXr_Iw7@fZ$r]7{&5̸|>w`wGVbSRlӀ4.ozƕT. GKxJzҘJV5aqW~cQQeIJ5(`@ʸ-ct?n!id &G 㹯|&ԟ tS H/QŔ~:ϔ<m^g:7@mwo҈,A@6*Uw~_&#U|r֭P[)|ϕh#{[^0 &aൟ`8$]]k6Er{+ /wJ I kaUIQ0 NҁѦ"bx _ߏx 0:-A'–lB4w %y L2Bh|mAU$9 1"˰}ޫ8/>{9@8oE7ԉ:)[p{9>KOYʏr@JW,)KqV>7ǃcݝhP x7B&7MӾV4"l(N 𺯂$j&f:*riF}يb*g\jvqr0s,@Q Z=wlTb8\[ͧ+9nx"l #C-^oFk pK)A)o9mHBhBӏNy]us1vX@<>„v:Sh'ӬÄl6@ۜ{sJ("˿ Fg9dGa#cՀ[Ug3Xx,>O_!RTCBz %B_駇4A6yW?Nl_ੇ z ljdJbïqd)  FZ`?`+)y8~W?vZ|b0}0jvC9 5S HpEB,Wl%~$Y#ʩ=ے&7FuÎRl9σO^mKQ xXޜ0Gb[T D[uJ]LBӣ'@v0 (iP%'lg qaLE%b>kP c@oB$@e.V@1V9ʱhP:]-'j"m0%N╄0ʓJSP4$[&뗯JW`Ҕ^D@R}ְi9p/F%5R>e+ hފ 1LfLIiDf%oJE'ԃTFUI\طY+! ۪>vUpCMV,jY"˓"`F8;UimDogZA5X:5ʦ=Ӫwu>8{ hԣV-7]<4РBdL^ӽ*ߘiln{=uBk>Zvݥ=Vzf8}Eh\T3`7'0z>|ؘSoʹ o2'o70` Ԝ 6-9I 9a@@+@ T l2٘)*fv2)yO20̘rJL4c-3ԯE N' #^Bq64{CrG28~\Amʁ}LHZ/NzJiu O5i2$kL՘.VS7I};n(ݑ1.ALm$dP~E4+6n]t@3 1o9xg,)L!0ShtX̅"S8j;ّ s,akr(DQD-Diho^vZ/n_U*~3P GOAٷa .j7Hiߔ1SDBڑ@$o؟Z`_lc'XOŗ{`Pf&6d..gY}8–Mdy|`}5SG3PZ&_KH9czG<4O aHݷ_Z 0JjK4aO"3DmIlFoSy8dNRY<ƉI">ڨ3",2Aj 0n_+NF a⡑# q8+n;u!%1G4=i%zG*/{r b-<;P>*"iE9IJQ02{ޘm94_9=ὲ2J^-S>v F$R|b )'pEpNvӍ%-,CtpoWۡ:>-r-mMtDs5})2 }5 wAD5 dʉY#Z.,_s$uQ&h"+KFc[@ЅS]dMoJaft0>Mԥk]^UZ#W0:sT:m6~)aVPG[s9G#pOՍ+ Gzj*@<'Q &,GfP+x'"!qIPsOm*u{ sȽTr9LW>6W٤SϿBOE!|gCLdsw9c57^Uimp팩Cʣ^8~j0q*З3/aR5=>rh6ztlaӇ{iZ"}qVsp}{G_/tg-G0>Y.:;oNgJf3yYHo!)>tc/s(fBv&g.?[98I̽e5#+ȑڐvM"==Yj6}""~vT@<Ҹ e~e|y_8>X\|'MSdpLҥaL ZUdא2R[׋ [CLi(IRWģ>  N7S2X3q􄔃ʌn$k" faaIM&uf6]\.`>mQ/73^h%(ۻ'N`+0%e3aUd\_pSb#A!ӦDQn:Iu*{?o@8r#U5^Jg4eOOO/852ۺXɃMtrsFca8S?1uyZm>bSc8*)k/S` -?Z,'s8:fo3jݪ9fzӸ;TOcAuh4n]\*SjPрzhF}M9&ĸ!=%8trU8&\R$'`KY5{1hlN}6;37ONpÅT#B;d hBp : [ɘe238jgؐd< mbHWDv՟ pU3 Meֆ)j7~; YLxc.BJδʜd:rW pFN{T+F. "'KĘj3ӀZ$X)vd`X+Q塶,~T|ݸC|?5 hse__Lr#;cx=>\&6#Fd /+26]F;k#3$ epR^ 亘ZzfmP:};`Egr~)gEj SƟ.l7g8'{Òj1I>Mx4P:12)t~c0C}b S wup2'F>Ry,ZL^/ A螛ϗ;b:Ħ^Y5U|:AxLꛁI-਄<{@-=8şM'ۆ.<0GGJ {w*@ *"p U#h=Jhh.Ι- 6h]ɍ7 ~:Ku8罸4Ai='__ԏ;B>fy̌6?J]lCܞ*)h;@2~Nu FWuB>ŦзC}UŻ jHY)ähnoͦtW?wLxoYxNMACL @ml/yWA~G*diTvr*Au:=oAWrLfcYaO5+cz7XI_1jybK׽i/s䎢0Fgv~aKB1GVxSzL*J f`dt {@>OG} ՃE JdILu$@{ }rQI9  3lIaln)~]4LOA(-FH%> DۈfʏI(]L[WjOHN)Fm`u(U$D󰌽č4IV.;p.A*:\lE`Rdt!=]i4H3us .IDUzcÕ9{]Q#u6 G M(hL)He;3 0 m8Ҁ/;e:T 2ڨtH3L-_@m__w|?6(~U!4SvNX?{1kQN6 rJ9lwn/Le3sWw:_+gJ;KfWw7k<8lb47 r]χcJ[E-)Ojt$Χe7OZ[8Rޘ# 9pN|<H  Y% p>j6;Dxj3k5hcEL3tD)tʷVz[s_[&YI֐ϋwhrĕ&`qˍ3hEpv0ioBBqbx&n:"lRzdoTVȒ^K4R\^de$ݺR} | lYSx];Mł[6Pn) I ]p=%'ѩ \׾K T FjM+i^$0'(Gn=O%Rk(~(ݿ*'ǔLI:#gt+SҊ?'|b1q$FYPcȇ {_ރa%1qL ehF>,:-`lሴ%/.QeΕ?P%hX뤓ZWqE~3WR5N ֫U=STDl m⊼PF( PgY0kpJY5AqRSuL,<$WU5*~-f-K9 b1qO: iN:ZRtEwb-sdWʹK'v[;Ic()/iB0 ĝ\:K+MO7㽐 ob ~e߿{y9 Rjޤ$r}MU򳂓oc= Kt 2L5Txi!>?/b YTܙ(CZ|@^WA2q:.ͬJ+^4%xO[xp WA8r{d(cD O&q. 7'`JIB_LHvڼb ']OÉ:wd9gȰF;WǪ19S06PX[9;pƏb9+J eC*x]4k+M ]zra3&gB$kx3 (aځ6|ZC0E^bv6d0٩~aX8%*G^( N_=ţAñV(6WVCiyNXnvfpt$j)vh| gR̙1%>Ie}%GgDp٢M u`H~#Yd>Ζ$4-WޟŬ725|TˇN'mjL:. =dŷ8sb|C| i%pXT i&p1)<ZH -̍څp¥I HRv5)V"t %/%pTn8o;!G(/y%h2l_gL5jY|7}ޞZ1ug^yR";Sf)Eia}9>8׍;+Ō+מA`,9mX:C6=&ユ8D@u7Ms~Oc7GKv^1̪o+SO䢲bf3S;_E6Pr\G]7F7e9LjLȾRxٗnTۛ&;5a1pL-Gܗ$I.,#́k?LT'="C1~`b0pYݗV^Laϟ 7! `l ٢ GL<Vwp Gi6ݞ!gp;Wf zIz$pŮ1Ň21/Ȱ6Mk] .q5ށŘwًhg{Fq*Q>:1qS'.W]$`l\%Q[c"әs0ߥmm)![xULf;$uP7\Cf/_VWO0S9t䫶-֦+)T%x>nϾ<#-+9"u =D/4u`LyiƸHr""B%WՕD2'0*3gjD ig?Հ4}823%rjŞit\q D(zw`TFw$T5'k)4B`#ߌ|J (0Evbg:l5 e.;&oVoPyhN-Y 3>v5LB#.AKPJZ;ke2{&&>񸡹ﮋu)~EȰ>fNj/;_xDka=W'E_b w"۟QOewt AZëSBn7 B+꿞Y0.5f,ڭwdէW[]BGþd.y,?=nU =_}&ۀ\:dfSe/Imĺ)i{$J*Aw{\1jBhg;5!Hv`EXM1,]Zxlr{b;@FodqS7YmN01)q$N@ތYWKQcʺit5PCE,e~|\,O{ /9 Ep*$i[j`A'}O0'@wڴUÐ+7DR:A9`M(i@䀹I^S 6P q+q6c9o~6F+ًKV@{#oշ5YTTw~viIt$CPl:~V4%;e wR2/ovio쩕}/.ژ}r=]~@A] [1. ˰%'/1NiJ :'.$iΟcB"%4ZJ<|5QD'[8<ճ&e eRޞ O|9?NIDwiI.4HpIMSzDΦ^1?)vZ~hr㢾]}Lϊm=/8Lq:_IB:ϕt!{޻پ67U䍆*w˻|s1D"AR|8Si8"N"2FG\ُ;/s|3+/N `XA<_ dzQ8suKOpz?Wo)Z܁!Q%R-X/@R7 u4lj.HX-9saHSR$f Vˆ()IlW"3*`?ƘkB+)?oʟ1q;Ѐ+ #av]wo P˶",D /UtuŸ 1d2ȕP81t u֎FޅjpK'K#A4-`VBH~r=mA:>e''}/kX\Qt!K:Q>P.bBZb{<8y!׀&?O#1u#"8×i,YF(oİY@HSsRXCxC-DJ# ;@m϶7`Tl I1=J1Ei&WƮ.}! tOkix |@6atx5bIW'1X=CJR!87TFo5D*8όlPzye@=uTS')z3P$ vwhajYTܾZԻ>>}-x[ ]uòύ-FrPẹt,8$R"8 "\AcbS5= YCX5STT-dRjT+=݁vcVk>L`gfL{P"e/8<<7[#h\:h|e2j^B-|V :Rv(gs@ xMa,~\NCaZ!L'_"FE0 647WS4i i%V<vO$s4MZJ:6Ի-kAmwFtMΈ$~7DbmOcq-O:bNK(In̤7E'pF7Rq[0.|Ž2vŸ;4a][ F`!fzÑ`Mذ3콀[yk)c+h_ D>ݖå"khChC^ a0&dbj%abv,78|o̘2nqN\tظU4_$*@0w )қ߇J8E25k=j0_ ./b| lN󣀪&9_(yDŽM6w?}n.ׁN(MGq_ WiEtSpIPVք]nURmHk+<`nWZE`6ة? AJlTw Y #:b} ]do3Jm;? MOvq<"翄~8NHs}yTg橼dƒxh:`zM_v34qR5UX_rtߔ|zG^(o\šFh#pE?辐܍2=#q=Okr̹QȢY]1MΎݵ!+_W1 ̚g(mz1t&g q9|RdbΑa:h&I6F:Ho4$ i,gp8Qh8q}#Z.DfLYYARwf~沓(0ܗ榭,L8ip|ˇD#L 8~º`aÄDt9Ź͓sO˻A>-TAyA X.QQ)e뾱bdwPUs xX+TtV5$ǔk ,–PbIk3XfglƩJM^K/QIM uMEo-tNʘ "E]Cj@:EZY+(t!Wp>M{ې\S/?54m2qPzB8zQYôy%lHdLs.wͥF΄lO>ZДGj &\YPwKon`697 dCzrXs2ݹ}mƬ%@pwWդ1{ܳ *PPpyZh䈥W{ңR/wx; 5f+~l=`}5慤y?# Uuvk[4Nx` _2Ͱ/Aw;. GZ%@ ԭ7pNTŲW1[&>U3/BBC%1ֈY. X}n5PФHk\=&/hVEJBx)wXD/]"Zͩ!G4Da)Tz񖼠Z[.& "DE来1kNk w`z!_?%?jIAs]\Y?V#D܋!>0jofKX>bh8FmEwe]Ҟ3HI .XG#s)^k&!a/#P! ;j=BhrzQF{-Q<98Xg-{rގ2`a_w; |bL8i'Z\xju}IpDM@GfV;^ 63Uep Ky #t$i# 8LNpa K+1't{PB5J߉Ra/ğ |zL$?,t+'l8 lWӍl4K+Q̳ -H=O(Y pk*G_$ OR SP{\a^}Q/ZRl%O lB6#'[:eQ/f~Rc IB#H؎PFVjB%z\nwOuY?Ҋ4?Ph;}}~W$տup~A<j;KHlFf;d4CI 94zi8E zd7t49H+eXZBKQ$rZݿ%ht0~y xz2XM== E1RU#BL4%/] Y׸8#:lMXgߡe{=f`政^}ʑעgZH aܷ$꿀`_5pN+fxXTO| 7$3U-Y!-1l=1 )^.g멶djb4GKjVv O=:AKk4*7t^שhCfoؤL*^_6-}UjYg Qpu_>EzaVܩKn$&n9#Xug/VtUyE=z_M-f14 #ݦkO8~hz-IY8`9^.|֜D(aVک`]KnptW*(wK\0f$* qBP3[EЧ.Eszb<4s)O[Rkӿr&hnQ q<,1\VnO>zjH2<dgj9X>%T|v׃ect*1/D@>fi#cE Bt:Xz3մdg). vF(@NY`gʰ$Ffߘoұ3u6j*}N,܊q>tS^2xyAہ 0 dm+GbY0^T`n1v2la6d<+3ERm$9 ~S!hl_9cHSVs8]i_|J {p&A !: Co`q8);c7]`'E`}m47!0i2{.OeEH0?CO!RT.Ul wFܼN6!U% |FFg%8WGp؏5?bp#P"D|ՂdQğpY A.EXYɲYd)@!_L|81Z1ܢlzcPy)dI&DŽ:PbH!t~s0T쉏Z+l c߇WV#q}^ʹZul෇1 @{_%+d"bD5I@ocO>!7!7Pq\ Ƕ^:!QMcJL/P-$Modtoi?Mo i-j ;XChT8?{3YXcZL%\7vGQ`[r|tu/|'RF'OzRߔcիUV>N>KY{9raly)QVY槇T/-ڱ+2&Tcw.רXʦC \ bp#5ߝ 1Q@:*}CΈ~}"'bRg7 \n[TZ:~o Ehoy@Rp XQ_ᶻsW5@nV/w=20ޝBQa%%=JW[5 97FyO[Oypig)}+ Ï~pc|:X;1a׆⚳'2{ RX]%ޒ^Zߧ7()H0?õi\:;u=0+[oK0Fr=3({Y2|*(c!P2kjqzP D}&$h!l.dGEjjHM{ϕƒ7|T0;띝P;OʽC5YcPϸ>weorYBm4BiV{H`%NrvJ$|O9 qzI8 4D2`ʑh[B }d wK#'&D]g8y7y>>E[XTv~֍o1L {do@e/+1}mh<&gnֻ?}zvQ3 ͉ fs@Hͅ@< O3j gַԨ2ߗB*x3۬`H|t.DwBdprR 鴂o ynXܒ A2X>**sF]h+M{*x=HUۈ.]2` LS2cb',TGN.A\H3K/Y0ҋn^@2@UC”m;i%?̺\br$(ln5oe{x#dc*3[*t )?}PgT[c3Of6OUb*5ͣH7?ܲK-5}'VrB}~$w A!SNO}UvE0@ҡH'v=jETSYpR0Mqlv%,ԛ fUY6NGe6`alXRZZk.euxpݻI;)aBٗ] 7K I5ߧ4r6#4+ݑoSD/ؔ%<#^agL9-X0sc^9hA=98-xi7?cR=O]Ž۶^VmǼǢdŻG,g*w@o~ꀒW|kxYJ 3JdM}˭kP?+_6U5 l ~=0A{#c!. Po6ՐTɳo\F5~gklBӇE˻Rzz7^Z< IM$GΛ>9Lw ND|$NwwYQڬT#5sqAɏ.(C.)Z*ƜT:,|>eQv!z(9 o%b?eØ-B:C7xxLJwa1.-(7&96t lD604zwVq2`v [{ zA[+>G$?թHBvm;Lw" rҪcWH\E-z$,eX8(%kf!RL.锱⛮ !@Z?뷄ydEGb_tj>E|VqCnBnFP[]mo\Vخpݜ?,6S^zIEU10dǙY/:`ҝ0͐@|@ 렔4 I((9N#(M i G :@rN2 Ʀ;LPCN0ChH2 C; 'AD ?AK4)H9VAW#PH(@e>a@M$ yP J6oh+wbP$  2ML&4-,Maa%n l‰ DK)B/T1 ʌRVDICKH@&ު҃Q)S  H48ԹTuy`O {!񡱄 xidTQO@/,#E]ٕ@0[MJfPB!DqNغAɄT. +A( Y9HNjP !l/:[Bjٖ>T1r+ѓ[P{u X%%J\NFn9! zQ2<9Ǘ+;F#p=W@Ǥ!p럡c`~?M׋ gЀUiwP |AA`.*ȣ7'Iz X3+>slF` 3$Z7.'*cA_KXPƖ T\z QP2mJwRv7J@ ÂoFʚi|fşɾui=WƛY! I*[iߏ-L$翾ʲwJMp)tY*k5U= P=gtG׏rYMWI3Aҥ\fSŊtւ_͎ۛ^:!r͜' eڃz70ߪq4E)fW-b _?aP*lOXji5 搢mHlF$ sN2wxw r^MѮ*60ȷ z5C2'zrXP738mPUz{hn Y܆-b/!o-dގ *f~~fvY+A,T3emow0I] d &{_=HNy|q!v m8dӭف2*v I|n$X*N 1 647ɯtO ->/9z- V覄Ǭ~waځAffqVWKǪ/aGug h"#]Qb ]zm. B>1ozkHԭ9JGNPiHz1ϯv@_M@zK> AoF]:ҋ.^7!_؋KLo]K21\Gv[R- v0"|3z3#$@& t{r 7ڬ \I(m\8DŨпdUJGxI Wɦa VrYEåJY6l/?,fZtӑo =tq^lWp )j+0H$V +gl|a'pV ;KہDkF`3vjꊃ>CXP U/ti%k4tEf'N_mDvvJRD`Jhl%eàL+'ƨ uP8J F ń M z/ dʱ"NpDt,, ytAB%ɥW}dKo0q@Bw@DRUNLezQQ3jLcDBe5w6t*;a6ytǗ4g͘LwʖiGUSQUWt! -s2j m=`]~X4@kE7-I-!I`#xn8zDy_cHds!*&bw;LO g={{˳,zeTx ^@%)ԮCGs'tbI?8]H hMp!6* 4r\`{vIƶ ՘vzNqddWL J4w*LjLr26f Ssʰy(WNp"0i9=tY+>}u K j50_4 MaI"r{3! 0oQěbA;֐ OwMǞj#/ Dɘl8BMt K5Th&k_$QDO@0Xz=򃔺{L"Inξ/qU{$7X=ވ^Gs=bpIݧήIX_'is=I۰=\oWt9r_esP 4h^e1Obv$ y;d;tH-aƃuN&:ηo0qxdhceN*"^JĬ, Ig5#4L& 5fg,zhso;aa幣'Y;EO/4ʎAӈg=QbS{ e1&֤uZK ԻJҩ >7zHİɋ!OYIr?y-}"Å˫J#ZG7j 结M?{JTf.[_]59:4i_R*^iکƉ2ԫ'\IZ CMCFσs`&=& A6-v5/aa/*Qл6uС/[^!KHneh6 '$L*GU4Z]9$?#~ܓ0I9%jw^D=]u1þ8o9vJ0d/LjQyG}㎆&K<$=eI9VejR b4@'܄ohH5lY :(l!B = z@BHPK B  r F8 F1<iA0(@(@$ЂA $ L $`d@IJPE@}(I4!A$Ђ-H m@$]! @CyGPV PzQ9DBAqBȄ PCЀEjA$ _k(IrА]:B @ $B"iP$B MP cxI D`HY$> ME@"#" qA _Q@A H (I $ (_I I#$HW! @ ΄H* B@ |H @6t$:hF4 " usP"'*/E!'r a#GmQnf@ g)C<GS:RSOQ^[d 2neR:9@ L={brg]?QX=yipѵG^MĻmQ]h& j\N:MzoCQkvUD1篎%fqbY?Y~]vkdF'V #Ä"IfԖ08T9Q*f@h>FLU3E|6eT)D9&4~$iH3;L%Hm:iHU`μogXjg!"vP $3( ZA"bHnF!B@ $B$N"gDCT %bڨ@$@{ B#_PD2t B(G$<@HVPI! M !?9`|BBI?TP@B #pB@  m#BA @'ɠ @@!$ JPr"`@$m Ѐ$r Hʀ*B3^B"PAI7T $m $coA3@%A -BxV"D* BAdT耒/uhT i@!^$aB/ |` y "$@_'LG@HK訂] H"Z L t$Eܠ 評 :B#nH@j"I0H9 P  %z 8$${z$e@( hP@uPI@ ;$6h "n+@v` BH:$W*8M@H$s@@#EDD+ PӨ T!oP@D :"+1" (cAޠ o xLmTPN$@I@ $ZA#'Ԡq@I@ (u@>*L:€"@I `<`{~7@ T"D&TAER< $PI 1(&%M\MA6P9ZUBPH5:fBO(@` ,E(8hD-J$aiKp+(P`>&E E"P@P$@!g P@<P9Etb3,5h Š`@IMY9( ̠"܀Z w@@@,$y+(&Vr@GBA (M"@A@A{P:*r( !P;* ePvY{H4 @ ("  KP"Lu5 VN9@^8(0h nv }nA/z;EHϠ+ .BEL @5w Lh 2A V@A քq x 3 [E@}a P|$B'J5h @\ނpA@J% vTE(LdTb&P> P$ (@  4@-Me$ЬAz( `9 P(@]@^E e#(>A@@> T1P>f PA *(PGEyTy Ot &^${x D UA0 $.h djPq( J 0PcP 2(?(Z@AxA,sWX#H(=@$ !P(!P.( r(H : j@Tc"\PdP) H\ ($ A 'f"᐀G r[B!$`BN9 Pj BIyBN$ Yz $%A R @t  IuB(@Q esw~ɠ $(Mt1!'$ <0&f(h CDƃB^dAB@@@!$z@z\Z GP B2d!@@~" v'^9Z$mBK!3 0@&ʇMA2:1 >H? 'Lz  '81 @G@1 %'v@/m8 L$„BF52&;EDNE G(uB@"?enkKP m(/A zЊSPBC@F))'-HG>Y:Dֽ:S+?*7a$ D}GX 'H'H; ?",A҄(CBHVPehi $9AC>T6AB )8@ =tH @$$5hH #` U* xH  OIB"6 $ cЇ!ÔT(fCP@A(I9,B@?H/ "LdI<$xBI"c,G5֡!eP$ BIqBGE ={4 !$ @}@T4t6ߚ#zP#dBMls ̠3$$ZV@ST < ( iPgv"^gH@BPI 7BNT!!&`@P aP!F\@$&BN'ذz@}$PJ>隈o*$P@I yIʈ @ % u,Gx gB@OP N@!"+HIp5ACTA @@ rsQ'@{̻ (~-h 03Մζ@ZP*A#և@ qu-3$ z!f2ѿ}KޕO7NNN9[Yq]ߺMmFob5c:m:yHx-wOćQ͡8D\q˾^ϪwaKL w2AgfizY/CÈ|(v_@1fHYnʳ~1GM!inLFS!b@BaɄ)f&,'<Sf;1(j~@x<,MiI6~7Ӓ/FdmF{}oɱ&-!P r 'rXDNHCBMd@!ͨP;8 @Y@f?fM8$5P!7d < >t:℟ Ʌ@@C@@5p@$ ?@Iɡ:@& q>À@$U 6j'H@}*,B6 )!4(AbBL` ƀ!}CCBO P8$ 8B$/N<0~: h VlӠ<XQ$B@j E C!2' u;!Ġ3XQB <$?`,?(eH@7T ʈ8C :Y z/BtJӾ, qJ73ېA u=ZKTI @BABN8g 0@@ |1#2 пP7$ PBx @ hH{=e,wxax' @ .@BA ΢YԄ @{o, VQ' ,L@9,BO,۩hdҠ e@~E P- ?$8VsA֠ Ү°@ =>J?@Uf0 j(@͏, B*NސQ$PIu_^@ 2E 9@y 3D=ED rnIzPP@e(|uw}62m:pCI؀{HL ?yPEgRxi_[B@{0  (d߬;  &][D:(@4!Q] 7d Z`dI$P,s(:nPBL@2=x <!p =C4@xAr$š(_ B}D5OʍٰbB"N- 3 B 8:g !YC@z = 4$4`5*C()> ; JPm@|v1`! %@2 `uB#8@iؐghQ'P'@e(y.f 9d NPPh8K?:mhz(uyIht\}g(kE5ox>JB}@OzBYBj@C@ya7!Ρ}CBkB ~Q'P "Bu HȞk" =Amʈ= 0 !!;.C@ 'fC7-ht|senG'P%@! 85; &8,C˅Z `@f{s/ $& fq͢7NZSH҈ {-~WptTmdP!ΐCfP ;ܢ5 #8s(1܆ꀀ Y4 Qr!@f@!,CSBh P w  4D$(@eV9Ҙ}!q@?$ ڌ`iC^(h ~PE@+P I\auHIz( i[`9$tz&@ TЁBOfg0~(eD @mh Ҁ`^2{@c`xjn` 0E!ߠ<>&B (8Xa" }PЁ@h /Ƅ$JF 5p̐  4 Y@}(pv8@9Sƒ `癝a@Lt}!+:ID zc |-inv hP7@b'  A@ Jj(u P@ j@ "V*F EEl@ ZJ1@#P8 kk??2Ŕ<TГmC@CICxCk@7X0 ?P(|!ȡB @OJ  u.5[l8IB҉f|aԘ4WdavHg*Ì煟ZTY\$C/\athZ D!'PDf@={>H JPԐ @,;GF4sY3qG,<G\}(d6lQ tOxB' Gu yz *(6+S+PC _algޘm BUI@tB@.MrE2U%:|@?hX"d6fYhϨabP(yʐP8uO txy? ".QӨFt8$<rqBq|hO4 *D0~&zTO%#$BJ "MGP @)A?xP@!8a螝']-Ku% / |{kỵ՜9k̍!Fgb^nj¸Z$ @~m\on&@#$r|Q4ZF/zX ]',y!D R>+H @<JP*',PXolaf 2n3u L -N9@':X X]DY`'C =&x-z(/@/3`Gi DY`qVC@1}5@o $K@mPB_ 9F 9Q2HpBnIf‰r€ 3Z̬:n*,K~@YSϷɔ@,iV٭ BNU v*~1B EI<,(uu$  Œ1>T (̦c   *=}~#0v$/7Ux(Z(άP i3P-q@;( J9<45u3D Cq ȠwhUJP$IavE@pV!TZ* 2e \BF'ǰ !@n@5bT&|^هP63Ub( &HH Jۍ\ P4 o,*;|APiV62Uc;ʼ єxHtD*@ZT )2(!@'P=?_`,*VY@})PcA@NU+ D{/@`P@IlVyX + s֜6 P $vX DzWtC~?v/\ *uWn6jB)뤞q`%@+"P?@n`*@T.ZU@wΰ =,c,%(Yr~P( 1{:+ 5l juXs0~p 5P|%tjؠVPU+jh (A_V 2u\AFX`#8.V=j`.qV]@`tT@f8WRE- "S"0T @@xγ|ECڠTtU3xf{KYQX X/JU=V KqQXSaw+2tGX@YTAQ`(EPڀ<E@ ,P2ͦ+b"(5>Gv@CU? uH5PRĨi#) ] HlTpPulJ X&Th-KK+^()I)䇻* ʀbԁ~&X{ȩ@a"-`"nU0 SiI@jXMvbX0,Z5`p@ g!*8U@ϸ򔋀yE@ T V8l` v1h\mtIX R[ꀾd,}x*gJ6$°E :^@8(2m|\@?h J=5A ~u`j@mkj_kG(@[+=4>ml\dV"YUS$:*@\eGU`(?JO,_ֶ5_}@k筻ҞR3; @"ب \PVL@2KpJ_7JHiu`A){ OmGj}l5GZ;kaIVI sT;EAP +ΘNupnq0ؙ瘛kJb>=hfqfsDS̕q@dF Ħ7X:?-eE+ ")ÝL1#p(yU܆56@F`Q|C7վ'ZGNVQdlL9%~jrcY\95؏r Bu]SqBqSl:e8 3eBIeDDF`%C\,?dQNehFНC=w70Knr|U"r*PA IWA TP(+ r1PV/'%^TkO Y5`lb( VrG3]¤WgP3pTJskXt10bGI@~EX%]3z b TP M/$塮5aP׊jXRE%qpwA@TPoYwKB%yEAOEy`(>P6@c9B*UwHָj"=,LK ,V j4`ς -r, *qfPo9~^fQXxA@4:*c wc&:ah;Ӆ@/kXPE0@av-*~T* B(6јRքkv -֚/ wR"b(zE@RrԞXM+jEAGeAP=fp$x. 7pd"m``Xms9 :6!@xNf, ETUq?(Bx<H A<8x1b#z"ZʀѦ@\iեݖ*UX6P&mPaSEHiA%VY/Rz& ߑ`U)U@;(EZpxS8KZAk,{$IEa08h{b-%y5g2gAP{߽vpCކ7K9 @ȦiPZ1dZ^.5E=wQPEaι aR _mHhn* lRZH{ve`Mb#jxՃ:t ji0r+A]^ Mqo!E~V\ʠ+AP*a99<UeP>ox 2ÆDTB X̟@h~E !nR:M$Y`{Tuq`b(Գ]ČW*Iݮw3&hR'i6x/su탷 @&(p'iaNJ[6t;WZө :R* H@`C;Gb+ Z T[mVT@O/}_t}$)\u@e+Xu@\ [Ur U/3QūE`(r*q@S.RzQhALҶ&h{ ZMppiTToR,yЋϘUaKJZHhg54 ):@ZaS7D͚1~ Ъ dT\JSi`*`|HNw pԟ򹎜ǿn+H%4 Eݨ//$]%Bꫫ-ycQ1F1⣠ dn#(9. |GW ~T@ $;gӫРG( mN,Zp?&CxCud|bh**Bʐ zuP5oB >+ z(2ՁO*эrZ 5!WE58o+].݁ZsXȚg/ŀk3cJW S`mY^ )Ξ6.Z* `9( 2\A®u@"rPgqT*zy:?#1ZNeA`4>FNCGU}tiNy_Z3aTg%P |^%'שxt:~ 36I%bg3kqr==C)z>g&B1#ߓShN#>ޮV*geۿ10ľcёfl3MU`뗨Nϙ[|ҍY0R@6Eqᝈ>;'T-:8!x-ǘz0tǙ:Xi b # ¸)#Ԩy).DRY_?'L'i#TQ8#b d0N,N@\ Iׁf `r R Xn--ʽ6U@Q>#"ӧO}L|2:q,0P*UAP,~cg̀h8(^Ճ)P(J * ~`S !ȅuC:R' jRc@b4 V~ rJ7 RO#ys`1P¹.|.[ PI|isM T(O8@uE;;Ӻ !ʇG`[cG`KBn@r9SaJZ$cr+@9{tX*BUXo <#yI9F;!b?9QKzwhnp^,жcvIR5FE`T4P:Y|?- sj"_* оҰpEkذ( 穉$\߲>w\n/6ahHy@.*n7 EJ|13zvU*.x _6XPVuAgP:|ݰBAx^p{ɴz+|" 1ںT S) zwTc0@RzXaYPM."bV>VMTRhUƤ<6eA$]7\c҃:)}^iEAH"qPE+tTv%!aӀ+ O6L'XP*1h^LhȢ٨bܣ/)>g :lȦg58!f(Cҍ'#rYƮz GEhZ fJQK-6/zKGEQ]e14Ł-\/uKtpz&~'XVc]?M*)Vdq$OZИP>.ICzT̰BQhӍ=K#w𝯘 ׍;H:5au}YwV*%MPnM[F`|auzF`Ep*ѝU64fW/0H#p$4-D4Ni:Ԣ`vhIaf DqEᢧ* JA$boibf3LM-*/|~4UUwEZ&`{|AFk8A`M ^ɽU;aPXi}- 2nN pm˒a;z3q@sX[ԾX\P#(-얆O[YYxiZHRЋV'IXT9qfXP矽 dlA/rA^@) ^XdX}s,C> S/ BU5u5aPWRBQ!9br|nfm+Nd`d=hzN;ˮ 9Nj"؆ +>`cXIɀJ-ӧZH, ]{P  -; /^8+[]'+ÍWgBƨ,d&SH+]P:tZ;.G#pD~-)mZR~Эc8bȴ7+/ȝmt/T hzy_O*XgVh,O(X1B{`C,vVAIۆ`A_c"^zϽTX,drA,ޖbwPQH[6 @,vHLSuAB ?9XS|"u[m,Br`_AtLawnq/"y_櫎&~rf\ZRUSGiSkr ToB|JZ 55;Gib?C `-D)r pCW' ]K=mc"o螹U-noVG潌q9:@:3>폯VoV-ؿw*~|F)|{^4/i/_QŸ|>kGKm |xLK Q%#̹2ǘ<& Y bю5ư`WRsx+:'B#"Fjܻ8\;o7mfk}T؅-aC A,0`z/lb4JwΝӟLE:++ JQ;v/pړe+ %bxƀJ Ϗ@-ii?zCĠK((tX(rLT P zz^M^?rFc+b~|?NC㎱?&ZGΰJ.54Fy.bm/,͜ɊIc'3 j%GjYb 82E@%(Aot;Ox }q+[:TVuGSc&ddWiE"=A7=B#Cpnjm&@u"N21|\A@zGEAYK{uSV~,`۬c80?Axh5W9< o Tz 0(r$Tq'2jv7>n>):v]Ve@ʒ3.;eb:vȸ.HaV z3}8O/,Ɛymh:8Rx%B*T2?Bmx+B`QEK>6un=hb?M,hл$5(Z5ji(/)ܥ":[KP> H%@BTV0]" 3 p-X| B*C-V;F-1+C]_d z L7jU #E똖FTRtH(+p韡 x@ڛ1y. !*{)%t,67%V9"äu\FcG6!#N<._Ռ#CBDօX1]Aoz7[P5 jBsT ԥc#cbd~@X񄲰YRq5hKZ]dXB^ (]#\Tp U3kN+@'6AXjEw'ǘFZ4TB%?{Kq̳p:JҁAP>T8* x-h4nUpE pAJt9'@dcslȘj년6w4P.BkX9Zx]g͓jEA|uR?8/ z)F>nCWT!WΑl*<1 EfX1T?+ ũ`xY&E/JdR?|buap!R2TWZ=<|bxU OwK 9;(X|EAƹeu{A lf5++eϚ)C=k'j^vŨ2d\Klkώ4+ X\,R+c$ `dއ(#JzT5$ p)7Ĭϯ8zʕ ݨ EҠK. m(3_yVI>t}W=-Nb^ɹ-w+,aH᷄VrHUm-…3A){;b 88RtX`mE* ,Jzo93/؍ׅOVY t5 Пx+mc{$ͽX-)tPV?:(=@OZ#[Q2ᤃ:IP7({r{Pdפ/{aOM&З|DD$l'mH aXoSR#d  y0㿻C5 ?'ax:#%`k|Vĕ-:T!/ .\TBi:t`!>F@. _!VGy =wEg6F- ޟxb.Y3IEYYY_k@p+tXH+Th(bQ NT^9=rS-рp~YGpS:BXhn`5F-.%OB3ghs9s((6E`\ONvP߹殽+q+m_9HR o$^'7.P_-*i֜`A"K*[gqnՎd1R"R1u e5" 6;3JBݻgGa+3/XK?hiQ9BxcUx".׎lLQJZ Sbfef NǦ[-2U9hKxB2T8Ӌ3BLbh Gr^ް [#yۻ{fA1X>yӣpymcfo3e.o |jn .PnN80veC7,\+D֮4[$ДmbHT`mļS jCfJ$Zt&]xng7N*9@[x~4$Jq_P ÂjWDr.n| LnB>avV| ,`zm5~^:S5^ ~d09 rTxZ$>GaOkU,. .y䎃quEAJdBgvҵ".9/ynML 'woE|Q`)#ul}n 8!#H>bGׅI:[ mN7X|)aԋ>/e( 3k|0M‹ºo{rJorIb-;7ߟs:YC3n\.ҏSi%~s@;hAxI. JлM[:XXCk'?f,7"F/"{iD,Y-{x^TZ07j#aQ#̿PBy­ ߧps27,z=Ggn>0Ef:xXԎ,b];OpZ}V8x/K51@ A>W$䶟nuj n@lBrftxI>1^aWǭJ g{Ipx@wh&XсMϾb=0܇L]n !Z%icɣpP-ۛM9^9CAčgS7&z! 7, :^ᎧgAM>z} B=Ct55uƝPއӧ|nE+4:DLVAwT s*UjDUO,9Dq?N_8`[{Ǿ*Nb-™YJsf&<׾R^5,>MmFSys|ٯzbpy]IL뀲;y憒Z|sza|T^oIvw)|_ i_?hF#qOx I8Npì] aK(\=W :E"D9ifdoR{j& XԌܕA$*I l+ !E ɋ b@ W䌁$D) `}i4`ۑw*T=E!7/X(G>Z~( kKFƨ~RVZՅ"v}8'+T+/lLi5mhG Nr~s`ړj"%n!5`#t!İ;;Ԡy7OCR!'4İypkuayk~<7 $`,M%FElh mvdA )fAo@2g=rƥmUb>؍x"A ٘<PWޅ(;\'(I4h󨗁V|E$ƷIXcx* MZv6°@491xnV#P>:͍J삐aܞ$ l[C{+Ю`>_|T)<)J5 GØ!h bGizm:n4Խݬ pk5Nix Ҽ! o{Yoڗ#&ڐ(:&F|)Xbsw&F̔Lid~㪋B}&/ FEa91dL򯍂,Q-ݢy}lr2#CPgT4 b/}a_2cI^ s6zOy| 2x6;09[baK/ `>6Y=tu^9.<7{~-\THS oG V֋ѹ&NI+뮑ݱ.M] Ax,W[Iu~Ц/_ Ѝ uv!I q6mK3O\5;Q$ װ*ww93nBќXdiWsLc͗SO_ E3¬u_Wv` :vSl24v\V%]Pl{ІEδK^{~=PUa +^] $ 0t|HUy+jvc;z7@$T(13[r f F |I}gRY ?Ƙ3 Yh_?B\IK+ Ilᐕ!sNQTrm]`oG^}P;AaP*Xb(\AEuS E=FϓM=ɍKмqBY.bhBّH&l̖sz_ &xr5`8'~ܚ#x)MzE?Yg< ևg&qL dȵI:uSϷXˆaTxֲDݵEij}Ǟdl$Z):>[2c#!lg)82& "^I:w2Dȓ性sXǣLG$5`4&'Tyd/bl dVkGlDO4"^S̐!MY(8k z%4+ܻ`]'գ_ KuqOIդH9D‹ p˦o QV : Th~zfSGm\dog} P n1R(<6`X/CPAzH+ԿÀQ,a.;4wR;Ӗ8%Ѿ|9~tyc%Ubu[I_ӕ⠺_O8ƧȪTTa>s%žqmI7PFA5^wČBfs}#Idg$?%̍ -ܺ]5 %::Wcw=R8$W5~feL .Gy+.",}oj^/fTJ:VQ3Iyt%iqՋ­'g:y"x'4j_kY0p{AѺL)V}cF.!K%7  >O~v)]dr~ ._ϱ%xd'HX^\d_Y^ɀWeZؓQSKO1vlQțm~>_}Ly@pۙs Cp&g:GR>}w{IY1'Pa}4, }|]kc9ŴdE-P4 i2|B%P2J y34G]˪3n=ڻ1r<,е&8>Ն^c-&ЀU#`iǑZ`*O.aOnH5G~ҵHz\ wV_{ANZzm1v]^&zAo:^e%Z mu^}{m{D.h:Mbz8Mr)#77}Rs:BE8!( J`wHZ!<'mC) F!܉Rp+LYI[ 8vK햷yL-4WbX,=(QB-h5m֪-7l>0Q;zv^ vL=9,Kx]y#@7Yd}H%HgUܾ7%|AEV$l]Liql~?G(昔 rRW1Q<3AO~Kk"l n]B% LT16&Ѐ:Hͷ/$ ]zfNKRe,!x&C%MPo 8rP|,更sM:΅9B]ļ%bpJ7,ottQ5Ƕ4T7/~q}MkF⟰m >c4X;>fI k>[fmUKNAUKUwveba/| C`9HuVɉƐC*ålݸw9A|M:7#XnwXs {遯__/֢Fl{jA>l( *p@B~\*fz`й,M;G SC2r1pW#`{0![JuzyR@:|RQU3G::X}$=cyA~U 99]SpJ390mg`‹.^p>DU#tR=`irSDd%r.|ʔ*"TFipNd0 X͊eX96 kaWOӘc~d2LSno^5'k$ŕwH-$ zmT܉@iGW9+{ f[iwMI 28hH"QhwəJ3$#"gj:|ۂ";{g\}f ,B=pOwʎS8D}=IʠKU_ yV78| *Nm*kS \.<400t[1[3J}fw~4)MD^D+äJ95%(*(?y`@ %H{f +$(Q9BvE_ݪdyl-#'-iҸofvk%3>\IsE/wEkK>Za6fGy ֺt6VOѠr{i6rrxw-Xa]> QY-S}6;krgo\U]< ">еsY0$Ou-t3'<ck">DT}`fmvSӡ~S0y3J<3\FQ/CѯN[WB؈K!/<'^,;<7Ȋ˒oZ+%$+ 'PNTQ0-_sD M&kT{TϘAja-tĔ} 9Aw{{I?Yg~ MX=*p&(e撛Cn6X9nWPf) F 1.D7}%@D+usjGvSO#B>1%Q(I-;n9;j aSb6 Fn4(Z/gr=vgL73C56r:>>u<2/}ac>噍H17;XӉ=?X\ੈ #ra, yvUF z6Pw1o%@sξ}6yY$$>LR,# |sի>XK&8m9ap\p]1MwD@OH͞.;ӠO[ :瑏F^?N_SYws 2s5< 眖j:L]0~Dݜzk7Yrtm >rV=wçzGzzQ퐐jͣiws E 8x琘2nO}w _ oMX PRx9 CX{?Uq(ZGr9.gȠ.hJ*HGge+ }t[fȩ7F\W<.<64 `4E18[bNKh l'X糅//|^P!^D"~q3øILj]h;Qٱ>~_C+[tKGEns)FD(<O&I+Ćm(֓(dgU0IY`F I0(&ݓ"=(P3+X'NI)sѧWRطAYϷ1"{pcpFnbe,go/ջGDr3Q{;NV?wr˴?'}>"%v3T&7aw;xoG9Ix&șr1N@?Z:Ct!;7uCWOfqCQP9&ӝ;%ГΘӘuI0P9F,dmӐ]3{1z7LFp?9Ì5Kс5sC:|87,=8cu w} 2vEh}-ֆBA@z.GJݹ, 8du[G|!xiN sd;1(8;ŅZ7¨\U@>s2)hזvwgȠ?%1H( ."A hpdJY-YiOO$4W˔4k7EehDdyز8)~"Osm|ly;I~~z_V*]/+ֶt={^lZ P?sbU֧+ssPgS}*uX. >9LKHg{U"F$ 9ANP 28KovHV>?yry%W،|'\ N&ǰĘ^b¢Dז˲ МW◒CYE]#\ݛ-uJ|N8(#ߏkp$km)KOۜѻB$U A*lCI&'IL~%^'`X&qF&ũx$RFY NI4 ߮]9 T3U:i$Cʺz(8p$`}3dlxX @[i`;v{l(6`v` 贺v[G,>(&[ao&u6hܒoU"l5͠)$RN$ݣ ?M<7j]E"G6@Qld6 /)/ y{A q7l4E:BohԄRvdrfyغA_`њ#'( )7/ p fp®H<l"8C,0e M'"#SK__7$"AΧ,9%#(II,WCz_6J)Yzfh H5XIڰXNam{7+<Mb/L_`¨j*fDg<C_;ܲ FAȥ3 h́3^\UBQQngAwꗯ /$b\fv>5t#Eobw[ pKscTKe?fX1M^Zdws>ްOW,tP]6v.&s "GHvv OX ip_ז΀xh%Wź^IHP(‡F(Ԑ3rB[Jk~#v!GL-3 N8jK_2ܦa@Xv6y)]ҽ'=]抻⭋09ngpuD=$DŽ@삻74%{ UaⰎ`>7=:B<ѯX<9&HmqNlVx*N!l\NEhSR֎r!FڑC,*p+ruLlJy6F݉܉Szn5Cg!$eS%I|2S7A30O)atl,IUJwq\`pB¨+&#ߝu@z'[">u 7zם>)x&\WG-.hsgjZe0$uq`=._5'suܭLW_)o T]0z瓌 Ȯ{z/9eI:!waz%ZCywY ^t\'slCq jLSJ->cQg6%36nOI gL8EbZ/X60 $ؘrSI`9Vn xD&&S4D皁̘MD aѻXg]@0uT' ?',ɇhV^ >?abט(h64X,㥉/Vcg-(O?wyY/rj@ / Dُ-meQڼڬHjUy߬PI(0``QҎr@ϠjO*)ZSU"/ŜkQ|a@I#~x-`(o,ps5L*#dƑ} boekixOiB[LBg#OINGB]y/0r]l^6>gs,G7ƽ;|08F-L3a[L}Yug?I ~jTYJ(aran!}2 {ui\pi/x&K]Ѵ"y'1i(.v3WjvTC4$`KgeolO%*3>%nL0jɮ 瀈!,@~LOboˋUwQRM>2c)W]TII;m7t2`1|wy4[Q7+m$yޟ}YiWM:M(c)1Hٱ BllJO<Xy0lL:YKcy9ӊ۴m:F_hr~+I㊌W>I_=dZR۳~7]Dҁ4)JVL<7'E\;rٱi3quw4gN"K[MeNkQ49xUDA*'$Ouۘd:ǯaW?R?mǞxpى؀>ܼY+Er<"]"V1,d*&:#:w AqHS||SwQ,)@-N,I$~hQ:Kk C0!x/akS`t{ދ tд..{oְ0[%O(*4ĝb;bUXHRL6Y-?w kqw9`H"4*:גW63iTJfō)4 Xze?quI\F40:r?8mދK͆kQef(pO3GbhGqx5CR{h /XQtR7qjZr~6cJ_JO(xP]0z$ie+;Kei|~$ L %l(̟s K;,|ƶ#١&Tas`N؊ T^&j=m &LQZ!hj 8z,w#t;|4`}p8"7Nڝ̨/% `GK)]g/ݡ<5bרk  FvI)y.RVT:IF.qf: bE5-OW 2Bi~8HhmƤם*j|fqhVl~o2evuqbi9x!h4B V䝋R;GEh#Ҳ{l:_7+ 2px`ȾϜ-+L!RU6P M'ك lAHAKwhIe.IN]4f4֛RPL B-?PTQt[ioFcSBk%K3#lBZ_`M:g=/(0AN%⁜ILxb5]&, p;A@[,Ya#{#;P9xρ8Sk1Y) j\QS!_]$S^RCq_%b<_OJEG0HBź|9]>al9O(q@xӪJexAG7a]c N4RphDsp;Qʦb(V/) r%7`.xݟbq}xNXpY UlʆƀΧ=<#`aiH&H}x1M9 ?J<\8>~%[QmZIg ,q6_w@&6v:l5/4 ) oB P`v1Q%xvmMC\d[McU4_cԑB| +L?a3yx_ٌ`3i\gn$ʣ`JV=eDe~C4ף[Yc9-i}2DsO([٭"A<ؤ9Gz]un j}JJ]dT'+)@&8c933vƒ}d`lNL;q؇ Au>i;^"}?2#\W;!է]wAdLtvȋ Rcf}v`pwqEih%y^GJblibȳ C+\T 2n6rӁwZgFp._: 4s㦨)S}*b{*5>jfR'm2a$wWLK#vHq!rN9d},74d1EYY.f#5NqNQ+r{;O3SPDNٵY4]&/cP?G} x# -_JvXy-X7KbbPiIizjь[@-|pk tfe_)`uLOO&fűNtҋ'ח=T&5@ ~Q94G׶#$5"ߓ|'ipsl~qMWA@xJfڛT>zcMsCI"L| %q߳K&BHW:A.U!jg߂wLyU CCg3C<\zN_Y™ /Q?EX;|S3i.x!,G2wDZH$Cb+ 2E2%I@;S `v`(x=^\G 8y$͈\t#P߭,z or/†m rQoRS!P%HLưFhdL_bv"e$JJ;"F#] MkJ nuLեElF76 L2Í;iyr&VDuKw!Bn ɝbsR)[0hǙ1\#!O+v~տM'p ' l:p!usxV겹h +=c/AC^ {KotN~So 9S}ɻ}mgaUN%m( K"hIOnRvPQ0wdY.H*\SFdW&`^wcR^QkXZA%55W6:l_]"+(+:H/TT,G(Rf/TQ-d.ƣҾ96_?g@/aEK<m%:/t O߱0SL\sպh{}~xtqGɃ 7'Eۯ=0;(O(lےn̬&){~\8יҍ9>LxŒչ7@L}V}碋Q?Ά0]Q 14 z\;z9u`gs䖳zF!5^IMs(s:_2$؀(7 fOj#ۙhQsӪ;b|*7&|5X1w#`lUy(di!%hX>O1%SpL"SS5ip!uӝ)D92X;uw\'D9QT('U^'I`tLak}U hp_R@H7ǎNV'5 4ZǢ#iRPkNѨ&˩d|G1ZV08[rEჺN1տgY '170+x'!gaJ,;c<.t 9(!qRcҏѝ|>OJŵ[*|6ii2]= 9NtgKF}P`BHoy&qf24-:D%1ẇ݈iWKu͏5W5ppr E\rB=׌ poS t` 2"{Jj*iDn xpL}oIS] ,zϯK~˘-oKo)\6V/PJIr|ф61xFfנz7ݭ\VyM_/&tOkIb6Q B~+/Hv4{~Ǵ3GS6W*DQ+ /2$-Ǚ<v_Xb "Z%<4B9SttcNg$i-ʂ'jT{˜x01)пl>;kj|Mmbn>76鴛v6f;>;=vκr7͝uV_[pʺدrSϜ{}seي֏C=*mA[]|oi&jn}·oFj^khmcN5m%2ɾ[Wska6\k3,_ykn7wϗNdS>G}7bVڸ:\Sk*>Ov\ڳZ>w}@sk>BҊ/>R>|{׍SZU >{E$R R;r UU%=U$PEB}}| JzR)AT }* A@); (@}}$__{A@T((ׇP(D(U==P)@ }Ҫ@TR|}QD(UP(U|{䔊P(yGRU)ytUT(AIPUREQBRy{RD ^=Q(U%"ןGUU $!RUTB^|DBIJ(C{ﴡScIEEWϾᄚhJDQEϾ}"J>UTT( ^PUT@*{HJ|}iAJ)Tp |{P < AG A珽)!W`﯍ڀP (U6Rh|ۻvkj"*vPԩ6JR=\(TVRRI٪KlN6RUvԋltj"U()ִ`U6ԩRX%BERH 5&N -*(ZtuI֪QU IASZIZD6l bSLKJhUuY۸-@6mX[lP]g`([il)RP"@ -@ k[5V5]̥F]ْt kSwtM4n5*[2ƛmյnv̛,n@}>*˝i@"(ϾS@o }uVy}| } @iph7ut<^(^Kϛ4o}/z^@zzzw˯<}}4/|{w(| @:ǻЧ|;׺C4*<^Gs_m;}tRg|RJ=.=ޜt%(U:Pyyzڐv/׾(Š=5J(>x۶=/|vA r]z=m'|g֎.:Vh;3 u;sRپsljP Ywz;ekQB{OlM`*-g}{Xjmݮ=fCEYKeꕻwW͝=:Еv{kGf9k%s\ˣju;>yݾNڷwۻW`U VwmճFM.ֹ wYmҊ_vnNU7[۾}ӽ5mI.Ż7w6Ϯ՘|=7MiYїjk|z۹͕hÙ={۶0vҾs}{f˖ڟ#kԔ]k}:_w*V"||^V٥ջwNuM겺mnϗ׾bͲ{.3sm6m|]۰wkfs{:`]鬛6s.զݻNth7suGݜ؎G[2bͩ^;g֍nQE۾3_o'Ir׷|}k_qˠzw۪Rk7{Uifv|WɽiZ_nuJ:fr۳w=v[cﯭ흮5آ6}k:].Uu|]vv7ڶV ][tuvwٹK-/oya7\}6v9ݮwʖZٮ|/wU8`.Og֞kvlfOVwoc{u_q>wj3QO-[rrya;7ǎ]V)s۾uMbu}swizo=|Gm|o(Gv.o4XMnΝt1tR盷nwfW3j+7v#i(;9voaPΎ3}[Vz֯u m{nCR_oWGuvs3oӘlW;cm[>7zJ;b䮸}ݫtG|ogZv>_v7X֊-}n;`pgqxnյ7mˮ<6Rڭc>@3n>s|wfP9 |]uSSFnϞ[Iv(gUwvN;xݫjhՙZ|yPmns=t@l;ٯwU]voabhiwq:MSmt-oZQy:󳖒ݶ^lP>ko^fd-9jLCq}}\$vYo{n]F@ZϳPnݭ@_wݓ;;{YmYw]{}[v;aӶirK`+H<7ցJz rwOaNj>닲q6;8WaZVoi]nSm5V|{ړ̭uev}jn[+w|{i_EtΧǺۋ5ŕL[]$U4[wTs}fwwQE/>^_jVf.|ܯln;xw_=$PRJ*|޼TRT({JA ϵǮU$g|wsnSk.;}h SvmwWfG]+k|۾skEU +YgŻ־nvϛ;殻6jB>Mz3x & C#h hM12h@hi4FLL LLF@)2 4TѦhѦ#L4 4L1A@Ҟ  4!@4($&h4@h 4 4LE$ h4` ɦ &0F24 0LѣF!LAM hFJ!M⠴" B!Zg!+%(8YVEy{CsY2{"*)3-jl/2OT%P%]u{6~Qv,) $(>0RHNG|kg␞H(:'(5:U`&p r |Ԙfݧ?Y |pt1X]OMUĉBJSJ⬭4|8o$9~םPcѕb2p"t'+ۭɧAyP88@dL BVD.sA. 7/x rns6AK0p2JXi1]RWrML۶:r֟M`C2X}68WN>".iQ:/ ۾A|{<@mA۔0CYI7>Cn !@25 ~j|I)0GL9g9elAs!J-Գ8!]ȇ꜁@ {4uy'\^-ft0C7&nE6= H&\֠ؐ4h:ik'ƂoOU'![36טpm?cMlEMsQ|<b{@ힵjѬ7@ʂo<¨9hl[U~dש`9XmUt7𯚒Բ7q[x9%ݢwGR}άL<ez9,sB7m [Vb2(|`o.v'ԯjjR2 d!8N ^>)+Ekd3C)@ |$rO4͇ 5XJp ,4顇7WbIîi:0E.I:fHk1{N Of$"rF61D1pQ8Z+JE='h_Ѿ7kT\~m:7392;0DŽdpP6jƷn^+I-=O5-!6le!DŒd4Z|W& ōvgU<1){K:8K锷ŊH(QzՈՕ"wXm:s8hfB=t`@ĩC{Rz-nwyi eæ*JHa3- HX=zFr ɘTpAh3':n\`%+ÌK+ƖSW$~)L>/ŽU~_?% \B<%q$O!^:2?)2*MEW\">9,M˗K4:,1|1֮-igֹ=붋q7\:*+>-ȧ9HwF],b 5bV/ Jy:+\Pҟ}t2k NIDJ2FET AO):jڣ~7 Bm];JpaEq.HsWydB730@P$lјNœx:<b"5g"Cjfj?'|OE]Q{55KE <|ev9[$b+f U|U.rag ")'wׁ5)u;E`an ݭ R470"A/,ѥN)@k` О%=̒ /=#U,:/>͉hc%OKM 8 #jTBW)v{vsО\w 8P!tKY2Z q'7U?V%F_(^,4.,-GXfjX 9_*xUtYeКH^ʿ'F ۿ9AȝM`"'0Fx9=h&m5J'PGXm}ԙ4_W zP넽+ڷip͡We=c9ޢ<9֞ tzNX|^v,apsB>r@:SHV?%!t#^e&vs:}ϊ) $6 EM[S>sN^ rfWY?rO!S~h6R03;k4V1򏎧BZ=gbrdueLH֘#"PaM}!Քbx3).rMR cZWuqUG.a/)HzԚ RG<Ո rB~p~lbNЋ$]93@hE;rw8f3ipE.29f! .:ȝq6rA\}%X+R%.Vq/z* 2iOƮO>XBO8jny6)k#^U/GPV05't ե I";7p8yCI<| k33"+,ZXZdޥ @#9ϖQqq*cܣuM̄o;~rM?ې0p{n] CGo[O W AU)m,A dWx)XN~hs (A w#l ?)8tU\Sf1HQ44[ʛ ݒ$'t[qf$zKF"qM׬ƜDE9kto̗tk.H) +S%0_0wnMsZ+2r)E[Aq/r˼|^a9F\0nV4{10(*}& mGWKwڼeo  ƿXHҸY1ORxGaNT*6PV?߭d-h.9v|'tׁ kؘY/:40{ְ2=|.,fOcL|O4w|hE BSxWbhqʻDH<ٷCHFw-,vb NQM >HoK-\a/t%( AwYͱJ R+%tpX=crеS#oH2ܗZ2qM?8Gi^?yDr9Pohr>MWI ҥ}JDsh2]lNpk?/ͯ+gXErE&!X!7Y켜RljK].ivzK󅮅FxqՒjCS␳s%FރMe5)}ыG3w?pKQ}ib6"I*e"l+b37 X%R23q5'8e& 1GUm?z{f2jq7au7^: 4f~ȣ,@M>b -ܜ)\AqMKEl4Y\e/MBmB4e-!WU^ڃ',-Y!c ņ<dzPh-VaNh$u#ñNv淡 d;JHG*MžЏ[HgԖrLq6rb%46pm{+`S g-& VO`,RR"w׋p;K"} ^@ 7֑}l,!ˇ坷q8W.,"+fuL2*~1yΞ7e ?= a$X^5o`8Mq3e1|X0)F!5BT)BН,2 +65&Qwջ0_ߏ%"Fz,o7eӘN1S tiL7F&Mǜ[Rx`0a'C.bڪ/`A8s8]3&lm =̼EoM9=~v̶WtUPRs $5Bh<V .IPb,x.jzC*9j'R +C&e ?83N~wk {fˎ8p JW|˴;t:kW7AH'pa+V9ݩGyBk3. AD /Y:iseWج>LYZV|`OL7sfvىƬ۳4_+dO,C; Pe0iUjǥEc!W-ʬO-UC[̙!8Hb8$ވ2Oy#Y%nW2W,( Cx`:!.QΫ_=EOۆȍMUVƾfhTRQ9t:> g͋eB 7f10PhκˮgmIVHBۢZ5Uy'qҨ.KM_p!f,M]DO0;p|:e;bS^NK[joty:-̥il3.b-JdP yLce`94P,8Z},g7OJg|d v$5lݷAFW^wST].a>O W]R-~^n礿~CxW%C,W(kl.ݪjN AΩao:Sq>&\3 'e$}4c#:u =buuDvA gBym(N'qˉ0T4d;#+>ܤ)Ƀ>c#k}0%h3<.15qcJ~E;b\&J>D|鳞ݛt>y2 HxBD;štkXR|,*E40۾gSS%a:fiJۻPE'BI^^~Er; жI<<7sd|#9UF͆vTI(:%l*;\w; LTd\U6KNkT—'M5,x*ԍTEQݹLw=1 7~B#d0$)5 `U/N~4n}p.?C˸HO^S \KgD)lTFoVRXgHuyupE8 K" wV~<ѯߨ&P>OHDW g-YN=+VVt\tYc~ɴ#C3buiߢ:6B-6 (/w} z8Vĥ:iA`iǑGTG_}C-:)q'R$0mhadߥ%唖C'xVܳs1V}0[n<#`d';{jwpq< `՞Kwӄ8KҤYoO.3Йl`/=镘D!,گ;<ݫm62MT۔!GqEtIN[Af_*{ɬv #h].KRB#cw5Yqxquqh7oV7pEL!7&D*\Bq^TFo Gbㅀ-,-$zNwNX'n;LZV}w4W88ОK3OԪO@{>:^ .'m3c|$ :5iqd#X0=MGxsۘ LAZ2y$-^[ Scy2qaM4Tzr~#1-T7ew;M|BEN)&"pxa3 |K)޽AlkGdU_jU`)+lE3Ωyp7 vsKQR/8W0).]!xRd<tr$]Ǥ#.a. ib irF$Qs,G0 .oMňF)XN F1c6U`pͦi*C [*.r$ϧ\<ӸO9)3ձt0uvQwz뒧 ^[Fm)tsjs-6>:UZ3BGw2v?[YSdI#c r !/K+!DE\]INbTq9b#CyOੳa!!C'"I`wN|Fưo BR,6;{a7-wJ0I2[gv.x?vro6$^S/יrɋU̾U0g0D&vFt5+ I)MmINR``k;G3:<`1YW ܗ74*f7?z>kgݞV'>Ӆfiz, l1 TنLΫA;]Nҥ'K.#gj-=: EjOрVƌxD|&m$:U O(: oAʤ1kK2#:1o4 n (,䙉,nɮ]I6:Z85|֚a`ԋIOгR Y?[hdža*ݑ#vBĭ›iUH[=-IwǮ+)kk&NzS_pW<7tzoC[~E`ް9GQh.uS/v7Fdi&gRw):K >6kOy 0k&90W~ói1.9yp"Ehx Wت.0dz4xt8.5I/?>/ƕ< 5 }(-pS0q'Juޞ|E^7Q(.[KjIl1>ghgJj:R;|0sәbڦqL*3<Ŭ<vcܿя0)7MO ru|y<q UX~$YAV6yQI3|%TTfSN9Ę { Χ=V BӪԫ*8Cڎ`h(Z/]]VWw&Jw4(jub>yG3Ymh)keIWG2烘ʪЌTqiN-e8d.D9`:VS4_ 1 ; -b%?V_U"R+MPpm4]mPcᐙ-nr_lw ȼaHR\8cShSbcRw)_$($dʢ:ox=+5ޟ;~g&B|)x}kt$n+p^0DEۍت8T6ŊX7*(wA,HP=#q*ǜRȥc /߸}N^4"Ca;| tyəͭ2AN"e@1K=H(u: 4=슇o"_Bq4MeżyGe.h:doOF8#֞GNtu#]5p27U>0ObEJ?Mp?EnWJDiX |[.}59p  B@_O(LueIc 3sIEgr|*Y;xւE^MrR1j-n3xw7|΀!hr\I_Mךf;- M(lOC%C(xDN-Ln_%y]Wdz<~wX'LtcwD:{^,-)f8bKpr6" ́0WNWh9*edͥZoL]4&&Y猌  O5C7&&o1=sG#,VYݦSld2+=bl=BC s΃\܅c*!}sGLP<&-iI$JKɕ-}+Cb1nκ{KF< 5t WJbr=eؓtFVԩlmI=cć,gBBHǨ+Jaik [bhJ;f;0y9پld*)$ Ӡ%5rM[an)bWlby<yϩzE6W.ܽ$5X`*>[j6[іG9>֊W ^LzOh\gHsʲW##C|8ƚ̧@vn]qUizVEdȀ_y U>j-ia-plF^eVZ\p 3vK"ju|as ḟfZBhs+1R_J ܃DrbIՊM1%#xǚ(V4W pecei.uMKK\J qlWi+ ڢPW5 "]+27l38} xKҳ6#9FB%$=IuJs=häO+犭\o^M>!)꨾Xmw>W۳2(gc{D_-¶*WK,.5Ub2G8tJhɋ:CO5uʐ@7(- I-MŸfs&WX, ưgؠ/|}GPoFl/x;7qzΘX'С( tZ͡?Ҥ*$5ǀuLI.9 9zsvُd;t}W؞mħVzW!_Tl 3>X;\tx>)o E⿚`6+{%?j? 3^:ˀ]rtAn*Ҹ7u[A׼Z{4ժM:_-~N;X!WzL?rFi8FEcDN`CZNХRq|E丒V|RLDuTU*j67w?^o `tg|?:`&1d6Gm%I95=jjgr )y{lw {3ݹ==+DOsPKN+ip]6mnĆϐk[3QR?uY0SDphjRYMhx073<#t xnr\ϫ}_5R6`VOJ6]SOiVu%BHX=x t~-uVO=J˸ F.M[N$ܤHbL1e+ +7H0sSm7tV_θA8_Ƭ,g1lޗ=%?LX9ui #q0]IO1u,/^ m-D ${~uCpp,fzT3Vt4'F9#|1'R{&pc/]ߌQ_Z8$YrYׅPS]:܎ѶbѤ0 NдhN+c7|m?v;+aP`_V֝<&nj/p-<+EWAe {1ᒰZ;9/3 7yalSp/Mc"O0.Ysk |,qW`,%ߡF&{g*^qHQFsbVR_u1z`P^#d-|2N(+I,=4A^.RL$io*M-)p/*iTXbaUhvRC׭mY4@ }qN'|y,-ZAwz ~H5#M3 dlN 4%2E&ժZGŏ{oT:/7^'$|F݇%O/ITXpYX%V>͕D4e r;HCl/5A+[&D|d|>ʙ@#-gl{5F5ƝFf0 |> lluru eܣ G"AŊ$׊+;}ނpͬ$A+:1mٖj_BqAê@ klF"X(WFCmsy4gJeMRX'ɍ"訝$nJa*\LS$W|l/RZ_0ZYL mۖG޿R;i]ōk.(_Ҁ}$Vos@Kp9̊O;kF>q|PZA0 ut7%иYcK ZQuCDiqu Cavˡ>fL49a>ciL dUՔc4ZmwjԬŔ? T.]>hzosMo/b+=ռ?br) F5 dԏ0 !xm~+*h>pr(tVVs 0Ŕ ̄>H9TIѕf|N!7hq;Ń'-;ԍ1GΟ2%IIፘLY8GAu13&4%=?&u(<|Ĝrh+#Q)CutT5S H7 @T/ő9'4H\sV52)k~~9S|v[G{R~ &zRi" 60 E򋁲'BL|c]@ 4H,E(*<~ q;?а ^EW߉eQ|)XY6dt+w(-kD H}pV3c|0@̏tA(ږplŴxec y $KaV_eQg$85/- '&ݛIU>t\c&/-p 8k̛]naZeM*XV/v&5dG*KJGLATنbCE&7j*BwwR蟊 sZehqJtBA&wR%YU[dTwrsʼn2U8iVWtZ_ B.Wz5̍3GcN 8FFV`SfM_GCpk>ÐOh];Ñ`uOX}l ("%C O;Ejrwɤ\)ԟ;s㕡 ^R!N]tKET2 Ięf՝hesL)_CEҫ4÷9WjYPd1g,z+|%MnB2 ߚG\k~$L!'RO[j>"Ԩ:܏(<9(!=f_wXHJuWH3 OJ8}8q+gE;-/7bQGa8{5ʃc=OM83mx!lMɚ6.5T <)nw amamj,9 }rCC\J(%_9g{Qch4jp=7IB{)H\h&W}b-UFe3aq^嬣.X~.~vplő[Ld:5\0U̞-@n}yƮ{Z}g2M/XԁN&ך3b .p/EuզyeUw}=%䬮Jf!~W=DT@ѡuDzG5aړ14Um"[D`@PRki]Ț=٤v S%ɔ3"ɠOdZi( Z'5a[KcDX2").5(n 3v!F3$Ba]nH#{ ZF/ͿSq,^4I ǐL9勆`U4E~l chY$pTmN; dҤ I!.rkeeM3U-\.1e5:Hg*g\}(C"8E}|5Q{}S!:;SKHR^?F=6,q6fgd0ޓ/`7=ZԆc%\݆M^/2)4@emivHgԏ; 3Eƙ C9q—Kstp{51!zhww4?2kt3 SE"k4LGW•Ft0'82È^d+ qɮ0ty*ODGh }vA2Ӹ)Icnm1ۄ79HĎ9R>+*bśq>%Slzݱ}ѬhaYUڵ_Vj&þ[ΰk]/][f~.D1ϳV%ר6c0[3}Hn;P_azɝlT1MdzuPI1BSRWn0:lLPV(.8&0|ָ7Р8 oҋU֓!C7z*305]Jy)hx>(& Ƹ11\ݧ^'mvOm.x).tfw&678R#dKPEBqPjBO"/<6OS![~Ujb%ɬkXt1Qfju*) z|Jǎ\4 fzNJf5iV"NaX-u>ؾ2-}GBSEtT s52,tC4<9 Z9&o/z -DtV&2bQO2ř(/!H%b,/}b 81oa]sN0IӀjǑt Ue0{5"}B%f(uwm7QP%ʜ`#id2x}L.hscrCYtS/x~4΍[P(Z$pybkFdwRP-^'EEɊ3v eܰ1 %[HQM&w}fS0g"i{b.%)^Ԕe>[H0A] yR ݏt`#5t2J2kzNClLj,(HなV8ڷW뒸E&0+seݰIKK<'iF4,&Z;-DscA V̔Q:ˬw0xMDd-˿ aޓ-5DU2_tCaI7K'wGim`Mi !F+ݽd;FE-H/v3m0171D))uiS ٣xEƇ%PGi~aˊ]V[8`}'twVF 3ʻ>F #Nv.1(uii6Kib5)(t<|m&P y!F$*eKI+LK 2) ͋"x(N 2 _wiJEdrM3(Ǚ%;ݜgM:1l"^I:T\+_60ކ"P$Ob@vOUq5ݭi!"|̑;MtKA)nQhyȣOgMlv135 }{hb.}gRG#*|eTٮmk NGAUNޯ\M}l"I㎎,ԗ+^j#Lr.=h\(B{q Q߿ >^Fdm14&ɰܬFlXPw3&<&Wq5U(i +bkg z3jUS=A$\:0Sh6b^$}8QT N;9}n5s9cebVܣaWd:%u ٯ;#UXkh\E(|%BN NT땾'Ry[.LցgᎴE?QQrT.:k" H3O,EA쀆2fK=q7 Jpǐ\#8SL,!P)FQ;(ӝE0B9>} )1]r_eY]ٽ;q^MVlj;_n-rn~d>fEjPJltZ9nT!( x6\XLşX*K?yG\*7qƃ+>Δ6+FP!3թoUom?c6f٘ߗCNUma 4)T"3C*H(v¶: <1[ y+pM:/@v^S"# iWdziƭ6qֱR"/mdtm -z11=7O锥9 X=dK2>8|)$),M<%7Ay-:d@&6?buƬ3>xZc!ZBjqv4#9N9.+VJrmtuOc\ W̷$7nQjE< &S> +γkM:vrn̨(s ޖI# //ߖ;C*}0gh׈rAROY p:}2; O:R>#(b9|B`JVgۇPőܠ}Ɣr. dSoJx j.-wͼݪJ|^# SUJ[@O:,1Au-/iS[I iմ8B5M!_{ !JŅV*<9]:K:Z [i;g8䜎-+AA/67-#L)rBv5`L.fpQ`8MEFN8E|~9+ SGU`>i>Z292.PۜbKqSr_0-wutt}yv՝VeeR8c*y˖ue=0+\a9\K)Ɖ`ڂ>jjϤ" Q>XW0#y\y9Э?Q=T_H"0霢@/2d,\ ~+cWG#j{O吡*q"Iy]E+ ԏpς.?C|w>˦uO"ߟӫЭ80"‚z(y36a pWBz1|?tB ۔a8*m#ROa7 Ks{[r-%8#-X4ycJy k" $Yʋn#a$MLW9v8vr\[ j*ki,i} VE<-jM5T-ы^ܽ:\WF?VV|UkǡWTzz ,x\R*֐<3ņh5QT`.Y$ȫgOF6N/\|2ItUx;40 ah,ت_ٵC`X"͹`yAϫ?dH ^.`~6X)F>=%U~ }%.1ӥlԔL.ER+"sJh"ޞKgɓ͆BQ8?ZIH8 \RLҘ@bd #/}a맱|o|c\)0TaM+zh] fyM3{*o뢺껬NYs>mҤKN| $~tYz@cNftPژU9hX O_r.T|h"R+jiLC{LyЗ4WqP Et ֞lRoȨ `Wx0CY 9co粰flny3=iË% 4tWR4LjMGg6bI']r#YMv KM)SęS,Nxۜ1K6ϩ(b] Zfd-6 mw2ҲM6|fT{ܮB:9|6wI\ħuR|[Vy+ Z&OWHd˒Q JaM^![+DՈ=Rƚ]NgT_De'zR7d7!z `b|[D(c_H?K8=Q*i|ׅxQlU1ą1^Yq%ʷ^Y[ 8*dr6ɫ|)U;j?)vpR^ 4ЂaR79(wBUs Bʿ)I'QZVSv &hrx,ct+KgJ] OnJa 0{L>|SM ]tsF9אk%|K.iH8G9dWkOǦ1?@5̠SrXTWnG Krj8̋ 8fL7x_c181*Ycċ;$)l95C|ElP9q& %RqNu8m" D[Ld]& DQFqQ̓4k;GdxYFr2њ#QF0 b.l&_q?J}7hO)*2&6p,!b<=@c(š0p8e#8d3/|Ӎb- w&28N?$3 6' ;QI0K7W-bi<H#o.FD[2[za|K2d83~\LASVoTxPMVPQ)3R[jю=XPuԏ+KW;kHt|@?r3(,$_[x\P{FsJE%تy} nn=w<" [CVSʒpS*Ȭݟ Amj,U^v^ C#%zñ D(IKb f%A'hi1n|&} AW ?l7.y.T- إVؤQ(:"V9ۢEx%­`!_lSY rL|`t/k/RuwV)͍3u][c!2 ZEY*/lQCY,`v^kSJ!!C :{%k,|e:医̏Wv]`IIL*p8Tl嘠$6r&);Áq | M8^B(B$(W[[yEufI6(vE/ 9>ښ=ag3IF> L,rw q5̨%y{)d ԗk'C{*ݴjt˳Pq ]a;7 r&ﶸTb=~VAzufv j^n&_+ts Sn㪤1Ś^#tե!3k"XPkZwJSF'F}tg3o_$9ࢢղx)S8,oV1JN$cUfjĸ<k7=`]^/UwBysГF ?𺬔"iK}"wOHhG_|2d%>_4eXi%#)  PtG"s몍0Xs^x 586In9^/atg_JxI(x:8"Vj! oOY52Gs='lǢRR޲n),ګ9[dy|\+ϵ4ך&֞hh/:3 0` `4{ųO{hq2-b3/ =oϨ$/pɇxgX(i xޜ_8M,=:kEݿ`wnk8?ʶDj?W9gOU^Q2UR.+ʛm I_0Cwtq JU u#diEԅWtfbHب1o+eo,ਘS~kt<\qz#m]a,VfQl|IHj{xgd3(>dj V7SMچ$956Np/f~< ~+Fsj-kGĦ&'rk-)o ϣm*RxFLBԷYl"VAq+e,.?#uێA Xzo2ZAu<=.aZl~mK{Y~mPM8V5Byev(h -۾ؘH+7Kan jrv b4ajt8AMP2d\bⒼ7=!)=Xvpٲ=3]°9N.\ʦL^'Kh{<tCh+x `/EzIˬ&$r [NL-*qXcՏx1zyS.^P!C00 ;%]5/[c1}OWE:M[kg=]]_ᅩG!F(< CE9߰@2/ӓ"x d&J_q0-uVdae>MR6jg}*X8S'uC*WrjG"JIk5=/E,5'; #nJ٘^<108RT^NUBSvە6Og^@t Gl䝘e?C~U/֟NU1~qQh*]JG"_B 7jބR!c*&1luJ#5eڟ:S 1"Jkzx#|kR.ǒdD!k'0/GU4'LђTM0C1yFCbLSzMjL4RNb~N=[iN[oM55p)vשlVy]Բ' qYV,5mzЉ XK@wC ^ʤa!\Iŵj;lfqu{Q*7+w<8Le(j?g}$Bs|[{~.sxOY $Ő:k:uWoYzUZ1*i&&ȧ3;N긄"( uc#׸߄bbt'8,:У{b\K֛'yc-d.ҡT/Θ hr8m9+tU=B"(rb5mI3ߢAcX,I1WD`IM6DKcv˭|7F߷*Lr4udKcl?.Dd*(UtCFQ̺/e21~ ̗Fd6wqSWԍ; rw$59ة8q 7[Py~jLMߐ|i>|VN Tw|G?$c1*IdH&13WFMFh}f'쥈dѩgzI3j OH]4*GjHpm6a$J`RDd:\uʆR'8km@j>%wEpNQF>oסL6Ox6_AKM^ 1#R  \^]UQ~ǧ -,aKНM2Y:3Fگ9<2g\REL:AKO}8IsznNѝ|ԝ2?krV;dgަ Ja1e ,zԔw2wWXQBz2us>Ƽ9q+EN@moxp6|}0qGxЀOԙo;n\Y1'WW>ω X.;!N0KSFMr }=V0դZgɶܱ2gWUe=\8\F`A &ZORKMHՂ)d@0:sutC~LL<@cK9dYoN}ˆ5¦Ns"9Ѽv/hwKkjQAIUÙ<,7n0 FDNhRLl !Kֵj H#YL.)؆XuTr+p#<=0^JSE )8r!+|Rci; RA!uD}IiF0UL՟_"̪8n垰Z՝k ࿹j@nkVnWZyPldPztk,'w𢹓<`oq7^>$>׬bB 6a" .ay=ĩёRlyPw|(wg`  8#/j[D5|~{1$لGdNN j(X9>z@kEk9&vt0ǴUs-_-AtE:=E"PӜјL1.Qg(JT !54~ u('ϖ2|I#NNQn+z Y̱Lt;Lw&=ݽ:g݋m[~ ZSALJ$7aJ0P04/zc 1ME*%V6 jɪۑ9d!]ӬtF\m@9sE7~.y(o^Ne`΄6WA8dl/j{)Pegv)"ЯZͪM]8Ýh{,{Wh˙B3o|0$ d]=Ȼm~%g<8]m_=<%6Xd^Y,s4U3/SS^X9{}l}AXr{@;8#Q\i_{j;FF]ɒSmGVUbKSI,̟Ⱥ]Rl0U+ՖN[י-Q-&5@'T,ZҦX'g?#1赫>`x;݆-0!%l3D,!e7)\5x\a/D4AG܅Bmҹ:} ӑkʶu+IjъjgaK,mX0= }@c1i8s6LTqzr[_ n:JJ9+;s"M|!oZb~k^}ZԚ2%|a06&u 2mwe&{ȵf^v>7-xs_V5R#gMc1.#9b~XKt]OzuRi,>cCd_DbwIc,4LVsP3}B9Hp7= Wuf5=Z.kMpU[\##5@"!o՜9_:[+s*uqG\1X9ħLn8T.e|H~*yFl:V` `~W %ݬg#c$Y^|Wlսf| ǖkueލؽT^Fr]6d=b=A֒a;S^0["P5W|\.dic2_kdvI۽l )M<}O E %]- 7F+; qt_Z_ӈT8XMO72z߯pۼwp1l,n"`KGh=NNAHmJFB!ϕ$pWK㕴)j'yeŵ)ϮLs̕z3 JTv_zy,hKYV.mGxDnTd7 ǨY`Jh 10e0w`΢]p4kyк1_㱺<~ͭ2m)~9D"\wHVD/QJ߆3пJjņ?&oWިctA20bWfRdvL?e`Zv7e41 \6a@ݍj Utx|"+W|/~,?t hN\sJP^K傰H<,_\>բ_t)QwӦȢOJ<Q E66"t'Y]%hOJ~j=$W)FЦ;)TEX`cҶ+E:E\Gvw 489}0 xE{@JQf46ם«ˬtmvHwL*e'VB>&~z,IӴ- õ襤s)3LS5vmY|Uز[.%(SrGk7zfPTwq8n.q #峒3jJdsCB8Xd|$9d :8UežTE(E"[u9 ;L\ʀC~% Ey d΁\#^3cs]jp"q,MuӕKVU4)5eYbu#'vV 1[LH6q1?} 캐)zndt6 Ue=x-l gD߽6(;b\Z(Ep pGn@ϖ$i;k0wT%l5p>L\f]w}!qA?hbjWzK¾U҈Ze6Blڌ9ذe3I~:2@pgIo.`sﻶ$& !-m1T0*kpzzrk*D#>W'HG\hI3y18BV{zn ^39(X7#rŐu?)&+g$tFP"4}1МCKc)Q[ 7ԹSv zKTzţl|LY\X"hÂ^M+AT I^UJt"^>;zh/f6so:i:4C: \<! ` aՔˉh/0dc9VL Z*z&k[p,\F}6yiI~j3 sps]"AKMA(|v_!pw9ifLu%bW} U1w.^)I_ZoM.3G~|M{ J$$9)i؝@BD^~_Mo!;I/+1@<9 Wp= Y(S !TRpQWaUTpY09 rԧ93o΁r)? J&6~neFvL.OPSܜT\Q6'&m7:_/Y *Mi@`D*$Y9;\jwMUv)L௖ԘG<+{JBA?RS{r5}Jgvzӿ+k#A% b9@ 絓K "EZ䄌lޑEf0"&Hx=W+q(-ifLϸbE"eteClQt='qRӌGFc )q\GlL[yx-x"Y8Oz򐝣䛗_#/}*=]Fbe g*+xqĔrP~0;ڦPPޫI@/!jWP6?f0vIKkѢvܩׇs:S)#EaU({ ]8o)ҭts jnSS%ElVR{Gp Ea;[s HuI+. Laq(Nve-qT-zl*W2Hy|C._ ;^Ә8xI:uԵU+㱱MU'UKι)Rd^m^@)ja ,rC0¢# kPW5ނAfث=RsTB%5rT\ eo'9_hlНFOs6?kY=VaKęQOSEli8픂@S? 7ΦI0ɔO|[ c |1(C)0uSwшP;-Ό\.IwRl+H|_K"SF%fº2GCLBM޸ǧ F7RWǨ*ɔ7peBuQi -?*[B<kak`C2a]'68P>xJP]:ObGQj Ўz%)pC'KgQ` `4#얠 % ˬ&Bc)ie?"lYQ.MA߳(#6W pH\ppygo>KSȭ%&3.Yg{YoRIܵHLr 4̓+`~@K";4YܢO ]82*x;/v F?RR%j ˯i-4ZZA\2uXY߼5Y L}璍!5WPpT"*綩Jp:A+4}IA0Ȱ)8vF;귀 #dEDqfx` FaɑInqa!Nәf&_6[ByikPq9`?-}t(.Ef{t08f0ZA:ępZ3 -@rG/ɹd-G(dpCJ< 2`$>{lD:AJ}+­!Q.t_7IFHV͖Kz Z#qJt2?s&Y|-ɶbUg侃ד=fvpr#+459 PiyYdA3xKR o{ߺCpK;؜OٚaIGoevȤQ}Gl,̲V3͋uP\˜(G0oLO=XFcqa7ԗZ:-X@'Og Is"y0LpcA[ m:MY[2LoW;%":o!Zv{Z:HxZ#U09}Fmx>#P6/:Hva0N*^QO௓Ԝ"p-qw ]{ӑIsNd7EAS7lNf6MpaUy"w"PKEtIu=G. :+?"Jֵus$R[4!noɋ 1oZ^oTfK:V98iK%z.tp-vՖmnvL(3L9Q۾9,p1,8˞.~`Gw/ČMR\#*unso06 |9ʔɘB69_wmL&X_S)W\4ƛq1 ʊCUMf]BiMEt$-,$ƂӜp@uB< Ҙ6Wz]8j"^Qϔ1L>[bI-dGay;~#MwMT ӢA؍z1e m 1i0cYQ+?(mXˍf$!XE}**ǃ CclAY? }\O35p&TuL:Nu8$+}7]ABhVp+ 8xAʡ1e1]rG`SnM*GyS˴F##袜KB|1RĚ{` og,W gʁ#NB 2QJ%Ǒw^K! X9UVNmex5ֲtNfhcx᪁U^M hHeI|r'VsJfuoth~c;y>󚑙Ek=auE1!Sdc=c3~`ÄȢ &EK/ieD0xZ%7ccRRgZf D/[2u6-8Vi_i=`A#0Y3tVUesDg4|K,+0[w1ICPOdҷkPh7 -=3鹠d(cr3(Xz?aέ^ffύ f3Jbg^Gs7-8'dM¶h(=xɊnMn8m\t ^Elh+FGl 5!GW@( C*ӡ􀤲2#39=M]Mg=wl1$d`Nn u,j =0gپ=2bY n # }bbfLÖSf Zp%$ۤ>06 ;1S7BAtі|iyQ"T ~ʈk,#ba<(~'.``b΃0:Xeئ ݴX_n2nB!X̒T ]ptNGJ2[\-ip^vW-O cf-Q ')l# /,tGC7eGbf_w򒟇0&ޑb8&(' RLhHƝVarz8J&;rv:; 9H[4S:7*.`p$pP< ,PG($LY$N3kBX :V:$d2&ʑ"M|9sD&׹+Q}͗c[AhWcė5R=tS$Zj|@da#lȟP tM[KmgYbcfc\!@irL3O椸LMC&8<;e*!ȗ-dm0e"qcG)bU2+>P(_&{“p6䈮K 6O,ghogg2޻q&=EE#3%;#7e:ߺIBo%8ܸ%(@=o,+ pׇo2|Xq})̢XL`N-7n=YÆB=0LWRou>z9@5-. 8fG1I=G1ם4k@֫V2LһaQunmyLhxE!)~֌0N!5PQ*2sxE#.2<]<#ȥa%9x-S#;F>I󋷸%8fS- {6uM%jqySB*^r^')tz]1F•+\О;ڶҋ#1G7,>Ax4LRiYnKWVDS9QN l 5XCwIf*NZCv 1~&Rg!rZffl%Wc81-wl+_GPvs:X 9t%63xAάyT8şC͵rxrPQ$?PvLrBf3JƕCum#⸧WjAa@ \n~CK6#&6O.gT9&Qⲙ#SӑO/{&F~jv:g XaK#3[8'd@z;F74Ξ&ݔ |yci W;3,..ÙMIKj2,*/r|ݪnx^iwjk^>6efģ'b˂[zZvGS n"϶=hQ=oL/Mz=C\bHQZ-$b\Ҙ8nŠS2gt#T a !P@/!H~I^2~߶C=[)ӺDoSwtJ0EPdp >f`\`HrC!%'[)Z;(?vU# /t(Io(90e%oՈvn^4qYoOx4+R@; bk dc`qƓ{fb$~t;8n^sYޛ*(ê:9zˋS*NrCSmw}r;+Nq#`V] '%EebU#eaor2K\ &>*MF#--9Z*>.{ڼ%! 8fHZ1"g_J50Γ)@nb Yâ}tP_H?SdLɉ}8Ib>tزZ?IYf+Bo9du6) td/磫D}N7LhJN\w]䳫n>#E C0&cX{*oG b8g3e?P/Ldɇ}ܜrḘ`f9#;,1S9aL b4H_֛#4d}eQ&sG/ 3VXcv&}_źM(:mgD0Zvz&EA?Fq #!N,!lU^4qcwfO[+|6\.扬Ũfy/|#;{i`{6WjY{g"M܄ geSd]1H\? epr>w؇P0>L\W>;/ lxGZ\c@0(ڨALU-f XJRdX+k27Y2,NZO}&Gm3h ǿ2pi lSV)pVͳ0sO V˔Q9a~u>sVL|+&G8(R]quvnF+ae:}v5F5-O-> D@cd.0Y.' ]{ǷFWbr@Г)FP|Li?d 猭?d z^{FƈȚ<)Jth. I= %)Xl֨M^rVٲNc:88 DakBVt&+C7ע"Đu:ofJY}BZf YÕ.=^%1l,[LtO69?UT:ZFeȇfgr vDMನQ!"ɫ u2s #;h%K Aa^Bv&6mh]4K~ rVGR>4vfv9 RȼD2A5@`Аac>pk$F+~p;9/XF]8fiخ Q6<|)|%\}V[Kr ϐ 7a ~,^fc7^ّ3\hεƉI2qb+ t֦2s`UOm\f(&LEђBQ[*V`6A׼0Bc!Y zA'9;#Cf`" ڼ4pу.R1} \ބk2vrbGE\̏u# ȘJ?^K탿`=3% jDc zQoZI8+Z犉)wp;n}Ƙ?H5K5t:u0K _u'UB)7vdh89ЂOjs95V SdM)c x8̗%X4eh=XgO^xlփ?8{.talqHY8 /nJnng@p\IȉwnDĥ$<  k.d]c)NMP\lcʢGbpGGX}mqKshON)|eN]Yf z=1*}><]h5FZ,mMu $:8FMqQsq%- ݷQtHS.7d3>yZwK4d,Eܾtü0 6˅ʬ>hltniy0O(Ti0TrN2uGK0!O?`FFǒ z ;K WwrGWzFiMQy1N:O,6AZ`k%{Fl͎d!$5^N;cjYًF $`bxaaU\fc9R7d,SuG"~PԿ`ӓDdsI%ۄS蓻#gOqDil,#*XT{?#Xi ds\TVl JiS#zCmB@3zF{Vsu8Gy>nئ4~cnv\dd9J2󞥄0Z0iXԹU똫mĎ)!6y l؆}jƵ>ϋ?Uc6`xO(rZf&NʎV$"jܠT0&3TU '(!|Ǽ^QQtqWd,de `}H0'wYA&nWh~O ɴ64_;G,^Q3|{ ꬪZ8a t@@TA+յX'>_`'~Z0n?ĻYadȾr8Z%W'qhu-!a{g-@sɻ.>=wY ; 8H= LS3g ?>ȦE JAa!#{"6h[2C|F':g>0KI(>>ys%1o'|v6s'<%Cy$>1ېB*\|D?ffч0 |;GCA>1mnؑ}L@aYؾD!XeX$$r|6\Z73]1ftl ?on'n 4YADbCrT6sFDJX۾%鑯 W|J6 杖?M :b\Uf'~Db=HGeN # ,tZ6#(3Y38,~BGn9eg`A`[aZRCTHf'ȻE Ga1'8.ӄ`L&$١vb |<ѣ9A-# Yq8N'zkc3_..aMfukReT_#d!+#U9g&+2sPeܟy@..zW_! $>J_YsF| fBH:Png&&kDdmd^ύѓsF)/ְy0&,N󌞾p9i؍OsMwT %E2~ ^|Øs&F/e5BX+$,te PnpP n.?䚏-a':AJ~ج,S5bZrj8QU7Ob e.HRSW l]ZGM+ |:E٧r˜j)~1ވd /Wsgb!A^kl 񛏺L ỳ-u> >h|3Pq"?g!#G~Eh&1p[_^G|=?X63祆cChBjϙ ?P9,X3M;wX ȇ9ڟ̳bbv>n#͆ͻwDEGRǝђ-\{~4_ۏ|=W&r(PQ@\#NXX/6 zߦ9k1FIQHh&f߬;B͍yy^|,4 Xs>H=k^/b!_.䎒fw2wЛ2M(>gN"i=kSKp V.F˳mMF.ԏ?rpj3ܹ+ez aleWb ; <2ҟOfNrT7,T#&50pኾTGKIno/mrJ c~oSvPa~aapEx7sFqSTŔdGt':C*EgڱCRsbz5H&>2(gfIAȺ9R)q1FTfٓY[<7{iqM{+q;źAٕۅR6T  8>N{q;-xc8j*'gdkTmصS yʔuNwF L+ۅ>kSuiGS pH4u ;lt^saMz9?W*z^фc38yΡ3l-'LęH%,97¹9GZ&qIbaκ5&Ȧ',oYyȳ5.Cɻ68ъK{1^ʵ;0/p[0ZD; X-8B'`ׇ 5 eCbuADF/TV .&Fe5fAD/9BLP=16omlՃlaC*3ZEb YI@r2)؄= Ӳ^qVxN27Ǎ#\{`zPhrܾw3Wvg;F*yxOCIHGPH0Z(Ii'̟@C-*>4+L-iگ#a c`;z9Ŋ+:Қ4 X>FA>s]>gfa\ HX*3TU (AL |oov[xL%a +F DJ/{+;,Iggl$4@I )HNpLs\'&\,Bc%TK+Pn,}3p,hmK7P:8;8=.oδy2C1.GF `H!#玐I̐}W=O[&AtS$8cCcO6N䙛H?5F>24DsՍd.1tkK/], )ۃLJ%ZH>C_+4s`3> 'qՈ7ښS=3c.Hc_ApŹ0y ~']U:ʫ}?'OT헞bM9Z3:ؚ2׎88B걬`H~!d́/ TeX'<85NdoUH1J0C՛jE?g3p (kRcAyI렑ՑL6՝>gnϱ#xY"Lc0Ӳ$PuMeҐy ?lߤ틟E?kP_%ȄwH/qDX'^Iy̝ud Ed%E*O 3Ȱn`{rxEȤl`ސGM#h S `cx=,VM?&*O&HlzK4b> st煲 $ %"Ldn<8!dJNVRQbd{ ?&8okXuZ夌UĎԊH}51v$!5`;E+A ՚$ճgVstY{jG1ԽyV0Oˆg""a0ȧCtvb2Aẋ{\dpKHxcE@ qiɬ b[~ }{p0~}X 9anyz?Dh~BPt v 9 w)<q`e$(dѨ/gq rb0EeIt_:d KL`4)SW io—U#ž¾C*#p8`R]6`@/`p +CY5n2QeIE=R]<}vbO2vBX}7%1w#I,OE=E\ s8SbeܜQɒa_6k$uD#qlil7U*#)ؼJ.pj6SZ^Wnx%r,#jk/xL4P<倧{9ُ6韵5&q #ߢOY:.I4a H+~<$kiU(A-m66LGA2CSB43bȯZ7disuDa&` P(r1co#271e.Kt|/.jĚgFZIVxb 4+úÅ+~+ꋶJliŊ/^41SFh߈Arc)o'1܉63;Ee GT|.x 2LƓl"L Lh/RN8N|K 0RqաxfyVFXi~I̹=g܄utqRd㻦LuLC  ̈́er'>l*򶓔 >0d]xYdݼuA\_4~DGbpecPGo{s6ŏy\ 5[#97GxD5"E2 S  3X_R{qH4'p`ּ AS0aC@I4P+L^bWxM|BmȳpAf#6,yv6?{9+|bAn%}8!3E[*|n: 5Szd|"rLM+(zN 9/:2c]xEnV=qIC~̊ XI4z4$#֑4@MnU|y11CMh't9uP<SIYpA/#RA5㵬\^Dj,(p5쩔7y#Lc]/0pAY)ڷF)T`dŕ!L.PB dň2']T(!JqpО*E}>Ki* %ҪƯd4O3^6 o"]҃},X{ݴ7XE6'pmAԄU=E-܃yS 0M|t'K#?=#Y<8y~Dd4KLS& e"U3$v˚;=.Nvbl|O%/d%2Z+؃p1V󌓭KB@gHI|%ec#O@Fz:Δg(G)AuIޤo?B["2Gzs41H"`s8裪Ռ4 y|EHzI%$Q~> [q<2GlC5P<=$l]`ʐIf\fdCEgOޣ<)䀌2 o#Kbf0qHqom56'*'DL9ilVLsER]C4.cN9;nvz[,a> '2RkZ\?t"f@d 9A0ksڅDNr+F;7![7G9lṖ(h] LTum]q"FTT: +U#JO#FؤEmr0l\4Cr4P7$J2U0M7 !dFn"N^ĉm~TH1^lAAADHHkH;h;rXUej8xU>(T-ФQ[6 OG3kS~nشP]=mKv='8u}USQ_.T>N.դ~` ıRT*$Rmnu}q~ۚQU;]X[`R׼{jxɳr4E2OH!Ć"<C1cyr$k QP, >%aX!qHp.ViHLa,нҬLW|Ҝ2[K9wG>ۿ uNXzC aRo@PT- 8]4Gƥ%м1#],ECxmƙA.M$ L.ѽȻ;bkЛȁC SL=c;R"}A #ꀘAq Uc$ܒ+z4;rjaE X 5T7kwi9#(=4]FҔ(hNg!ciNmFRkf d_9f/!LWL_=sdj|mw܀fh CudaeBux {7DIٓB:j*u: Q1i %[Uid+usኾ l71-Rt}n45z 9vgFB#?"Mq.?x+!&p1"ۥ$M"{r'Մeg:rjpY}c)Q$haƝ A`Ͽğ܃h>;P/R|t#YrV:D[4.å\aE.Ŀk1E 94͔fMI(qh&w7 tCc&ă h ӕ'cvSuڰNfqÔ-b >I( FrWF^ qLX <d~{y7# ʝ@`(C7xrATbcV";z'}C2,Eq,Z:Vl~sl%֤N)q1oW`Ŕ#[.G8C]4OHSyNj^Б9k$b"9Ggdx"J@ZWp~ d>n5ƗiPBo|._S[&LwD``koxQ?BYe `Ǧ3=%^~waK)+eR ]ѢQO Et+*I'RG\f,esЌ3\0qs S>|0ZW`H1ˑ i #f9yqYz0%cccgw=BcIC]$oDВj.9`[F 8&] laܨ0vpzHl:?p\ ATRj< ƀE&0UcEI"FGh$Hj8qLfMgfq6~-Wh~*yfasTA RQt3l2E"b^< ĜS o$ym*R|഻|l4F1D]`18~ΑgԛbƫO@edVKI#s^~%CސeMc,8+?y6گ@ `q+N#酕2B *14tʧq"ny5GgܟYσOv8 GzceJa$ޠO%GkRU_HO'CCʞMWzfCv5D6Cj(MF>0ӫQX0g( ,aGʐMj!4:}.͎r_bIf(f l79 Cd{VYϙ hJܟn(I@|0C 0~ϓ5"l~&xs?l0|$f*/LUaȿ1o!C#-?||%;A.anzW)̬[撳Jr;x4??c17$^jBczafU/S7JR7$3Fb;*װvX :;pG+f]wCp.iȂJϰ3D;|̤jjmaQg9Ȏ7}D m3q R| UK4ƮffHz!Iܥ`쉉 t9nLa{#* 4Ō#k l N e#p{}OmDY8e:Ceѿz3R }1gE]zsMsU;MI>yd:Y49`#csr>qbKE6c937|zKӓ7 #&FB>c.~>F vl6od 1. j i>~bPwc9YUְwcG*bO$$+lx0י}$~X0?[?O= CB_]jBAAf2zr M$Am "LA%:|KuPbHZz* °(BONʭ[k;'wT!lXbc0H0,>ujC v  ؙ47#Ì/0O0b,OT0p7>A\ ôɓAXh?0fa&նX3F+tDG2F{4d&AwbS"wA~6 i/FS:ZAA{yr+cf0"C4%jPӄ8}HP~c }'|}B VhvFXf8L^^ye18fg,iNߑ#s ,W}ĜЃ`daϘ$Zm\UW!^ps3rT}NaFyM mUuijĮ/a;2u>9o5ӵԎNC4fvs:. ^Uyu=B92|3XCP!3ۈ=ߝHW¸]->/xcyC$,2l"FFA2+&A&M!;fݝ)ڎQU1h} k9 ݻ}=^MfL\.u9s!-qې(.kw }h'joaJZ8 ,db3+GbC#rlJj6)O(=30H"rrrQqZCZ4&~)* K8 d˲39`6-Hc&A\#;&rvEZ1%PLJA6,a8g/'J Mt~Ƨic 񂴭e:q0 Z$ݝ)'˞.Pe1έt*Pu1ɐ %F^9If.ّ2+du l['e|VHSh` <2_Śg%ײg lqI_HHq} o ԭG\M$4[)pL,v07p6n['=RxOB#vS`lQ59M#L!'8Ƅ^Y!j*q=τ'R.4{v쿒`艾)acuq94|daڐv82*cR!R[[Ekj$ &|?8E>p?HH<0sftܟ^ V'1,wQAM 9(tG5Sq;NujD'^ʑdl`Zh'*VD1^U'+s8uf+%f 2mYz/чa:^^]xɍK#12:/zNOa.<PWlM( ]i7;ɳ`ߐVOp:=#]bZ |SG6Ñm R|E=$S#fe9  oD˨ 8gkhN;Q)raE>EN#r23/oB)i k3;$ap*eu٨88($P^_ !V(3u{G`촒f_a}1@u0&3# 0?~px$'| c`ĐzQ,op_+c 4pI{/߱Dv{ZJ82f|;} RsOTVx/D9 ɋ#C27r_,%FJB,Li.oF8P[ȟCKKw ?HT^yS if, O>;)̓V%K.G[BEf>2GE(2A,`ʟj06!8ohy ƇBKBޢqg) |!Dd0 rԐPTA儰f ]lU4&_bQg ex?jB {C= ;8ϓ4,LzM7^a7#B#Rr~bz{GNŢ \˄{6`?LM,ق%-IWŘmOl2=;ݠ7=a^ތdR_jN U(Un|5%iXI}h;$ "D:$AI.t򙅲"F`>J`@gcnZExYgao&`)1]#^@S7L}ҙM`g;8lrXH9kFݎ%3PPWQ3lzب=ɗBM~IJ=A:IcH} m"V+f#~Ş2qa 3akei 7\Ȃݳ72hL\ 23UEGsr' ROi[F `| _gԎA*{_;Bԧff>q٢VPHHFp#?Ȇ/D!R;*$F Av$X1Ԅg2pc#;~9#bC/䏐!AqV$$LP@q+7e1BX>qaݫMpї`S(L|08<\ēiG;CQ]5t\ :" 2=фcoj{8 U4VI0to C  .WpL^-S,l;h6!";hF: GNL#CFQԔj|q."_ A2VÚxAh#`EH`S zN 9xc Ad \#ez01јFUuȟ{%7l gZuH o#3׉e`R-2uYecKI-pvٻ2.ye((X$0dC Ǒp t,mZI|RlV| /ܴH*}l{$=a~xGp$6'FD뒸æسb ,7%0GTf!dg-fsl\Q+x$RxA{񣗝H/nTLl 9_fp٨)5 lP#eIۉ Gd} e3t{̋Yk'K Mofo'<~ќSzJ}0Xa$QM-\5烈&"FL '{S &JhN<s5rԗBJ##֠6A~"-;Ux;|Gs'%$%LfsQk/t>OD,|=nVO2yLBe $y]`oІO\N`= 1ٱh.89"H6Tgι SR1-O~j~ȸ;92a8?^'mO28FΜ5~#Ӷ :^ț"v`\'5J%7V %1͐WJM$};8kz(рs1k.$_=ЇKUdqaIHCeR^ϨPOvCIr:M3f DdegxFǂDe=3{F b䟹(q1dO΅CYR y ږf#Lbʂ[DAQߏhxp -R?C?io8szK'8]G0弻DiKaαcˉ_4gb|4P%LFD39hl3=)+Qh{#,‰3Ea6>Z^aݹɮ'r I`bץwJ:ѫ-e0A }φcu0mqtrId/dQ aߐ]y~nc:mH'ЙDH;2 Dd" ćҒ&(#~Gz1&MKqx<}'oܪP rx/B[HW7ι;!d#h|^dϱvqYٳO}l÷|YܓiL jJ/#a9*n?L:*09[lpfaᔦ `q0A"Ә2jYTCqHAa;nG]痖-z39\A2lԪ ])DƲٷľh~$FKB,d!0^#IXvLPL393%COSYU peh&~5B6y^3>LMpRK/L KQwlfHs㖖%Gz_vD z䞠!jb ! 0n;KTΨ8x-bLHlqrɮt!CtBnC#7{t$X 1t.3[<]BPCtpLMi׌F>M n8 l ͗>8LvAUYa@ǪA*3a9|h3ӗ:n<#a8R0q؋ŏaaܹa%ik0 >.MUgyg1TϦ J~jdߓ*x3wfeu/o;Qس8>-lBT{'#.qeF(2 )T.K96&A i'2mu'*䲬tgM#Ȣ~Igr@X76G{ H 0?xd{>X`{#-2?)y\ (_DYKTb2t vݑ18M0&圳۲d銚uE %l%KoyX6"%M# e<3zw_^-V=Y톆S2 |6GQʯrAC1~ДeHKnYhUȢ} 9ae\e-1K~2 "ɺRFk\GT/& *&5 >|?Y0[4/Ff< A߲8p"87YS<s5rJ"^lv[H ׅՕ)LSrHN_4mSac 4 GNBbig27yp/gRn#i䏽Ac‹EYI2+E#y|=jNq=>211.4cX5K{;gbAVyFrtjIuvM-dCF871|5u15_ho%`Ce:O(EN:24)H LTo= 8bA=TuԀ@R-m ^[?P&,g7&~C$z OӵxX{ _]2ͣ3!1;Nd*}!:|N?HJA?7G8/jΓz]Fމ>3vaA9ZPNGFr^- q;@jAƋ%$7LQaš0BVVMiD,_T! dyRح|!+t^KDѼ#Oc=k\4H>b_DE.6"˄c$ӢLnk5P0xStK7!$38[FBFm bsM]Z{Qt9w`x(_z;jve5Hu:q:PDߕX@:x]3ƧC*_9߄јC.eq;t`d v/)>4 O:Ɛn2y8±84G&bHxaq5Q:eGzVzci 0{W®kOkب;C}~yzmny]gx.Zkb-Rx]S,` O8/Fœo@ĹobC0;OrOCŲ8Ԫ&i of}*MaKI#_$TfrEMаs0]`\ PY\ |`7Y[!&°rF<[O&Gd S;2_цy"O!8c`ӭleL5e8id"Lq>JߘE xC6Vi@'C_p"8gH?LU={R0)4 /'F܃zuvVM?-3=JCфx?X *j^`+h1,D3v1xH~]F(}SE?K^ 2FH?M'HlR(bIÞoBn#F% l,E12*0` xjy $X2_0H< 9]3; [皆Bxif/g_rA7bE?:SӜ TL5vD05CE3$kle0ş-.Le1v{>l+]WЕU^: P-&u[vA]!̈́/swT|bGIޙ=dh$r`Ctp䟄ڑ!bXy$Y`adžv_weՄ. ē4 H<^3lJΖԏU>>R }%隽ůW&`Dti =,hl L5RWyxc"~x';H `]r.xG$GA= I;?bkswmtr*zn~31a1Q/v^`!1$Y޿ճ)sv)8eE`CjAagQ2qr yGOl-#RLpARMYxh2x0gHt|"FhHw=L4DHM>Ԁg2uI?a58Pwm$;ő>pg%cac}BH^\Ix/R31Eb i2# r,v/"@O#GBGZ=L6 U#,?&$3nҥzSڃ0YBwAD }JJH<8S1RkXp.zŀ`!'kGw7wH|(8:E4Sxp{*qԒ !Yrb $u}O$Z5}8M4O?0jZUgN-o׉ތh*\GXe%20CQ;Ox1Y! =xZfw7{*\u9"#wl}if &BǒyP4ɷq؛%{a7(6g ^L{ k mٛ e'G/-d~&KA)RC$6WL'G3;pn10`%m>W^Jv6$k8ld΋ ?^w~'P^Q&>+l p#~V&pb45W{922wv( @ShG8ִR&CôW7˼0maH`t{pXL 8@_O%QY㨎e9|S.B/ld!|90_ע'o젳$߂63Lc%u f wzqɟ<6aV2>B@^n2g `UHy##S.xڄƞ >SȿAix1 t < x ЍG' x_8|D?L+!_'!h#$ClHȄB csjRSEXCG{6=#qOcqӰx_1 Ɗ2 3%rrv2z0Lğ8 0Y^dXy=0K2Rub/w,+_͓ɸm$<#JN9`+6F2a>^̨5Pgt7 OM3ː٣썜yNy=|-l6]'$2EUde sο$}>LdAw8[fGঐgrNpLr?ۊ%\usA7S`dsw,-<|N,( 8S?M=ɪ0mZ\Ρ?RH{gᕑgbi$vꠄWmhm2Q^L7ȿ.Q &g J. :Grwgح ަK%蟌4ftpnc3=1r'e[鈳ךOSEڂn*ija䜼x%\g /Phl~̨p۫,$r |sI6!gk>8ɎdGv̸FJw36NzO/<tGͲLM`4.zmf:irOU@~$ G@vxy::X/)t,c 8~qauaY4ox"jN =u> "Ǩo;iyJ?Nb1.VX ƒu檒<@Yќ͈|:["`}Ƅ5ӄ/U@֔腊Df+{&E=<ޥN.#5λjK N=q /ӻEz,&@ߙ ۪ܙ$phd^=\, ;$@ + Pm;W0 ˩*ƁP3d윲 a0]Cca>7^߶[֜aٔ/)ie1+)^2]-yW;sqI=I*[/^~:VL}kޗau!UiJV) ^-cDY΍3;J[Șըڜ/ȰQc. 5 d$Th8W` v3ΰZR2i N8"5yw 󣴇Il3"Km8/ ^{̍9nCJe!wTU8Y<#G2O<U+sQO$/;0X!ׇ`P E8!PV [O: D'vq!y:-jK­9hy9x&/ ߒ< Rr, .;Mi[%x̟^AvY}O=tks5Ncu۲9I9f)A'5W4HiG.KHXJFD0W`r R+s/9d Fq-N9IVl2@[`5 xuLDŽp=)s "~ں+h`]op 4 aOh \6G_4?VX71BS[=M`Ԅ8,ܵ7/d'̊pG/<[KN~h%"㤯SH0\ y/$,xCdew {dixo0e( 嫰h?r3Hұ==͔#- %b~t5㜔oc' E]̗3 ё )̿s~flYM' ŰO<>Zy6mNd59q)cMPڗ7B6'#PeU9?囕 YRJ~IX3d&E&`;  NҲ(,̲&+GTtg>p_fkdORn(Th=Ӏ c&!X`}f{tEzK0l֪<(Y%x*.`HSZcኇTg&Ku3dsY>6uOQIY+ A{a)~4NȴEI].O~p`=$rz~uF)10VHu.Y3)CH#7C~.`;V w |׉ׅ44n N|W1A r,nAn "GB_|U&AG rBW>_LZ@Eؐ3"<K- c}#sR1A.+AuI"S6 ~ms/KW'HHC@Y(4s|쑬_xr|rCA\ATӡw#ZGKG+qʓk 259%V,lqB:2|\%5W æ9W=N]ц%}q7̓3/`ky_98pbRN0OX,d> AY%.L+*Pnͣide} b`M`dlyDSfJh"'yq bP99]d&7gJ;5 ybDqm^>Ӣv_ydQ2߂ká|Pjˇg3^H]1CP f%c e~oUۄ2y4[]:D]A྄>=ieLLG.`L{:Dﴽ.;#2*PcAC2|= ƃ$ ,l#Qo>]NN}^X\M|y"EQ2LpjT4vxn~]T#!sːgrsT~bbf>:#σ`FJ |ƫ%O#BSɂ8t Fv@LtSh Ngm x H4e Vͬ&H^.^>hy#FlpfBct'Ff r@\_#k4){'bdfAAx$t.`-Q:r&0yY\uucs e`b䞑fμۥ/fؖ`d0E*\a_B 1}Oi:Ց}9ÐVd0WLe2e"ۄci Y8U" K>&ʫfpi~)60XΝxl2za ,aFc_X`B<.k:r4Q|Ц)OJGGy${"ff67W}áe"UG9c c9FymI$UFsTĮPOŔ*PHXqVq6ѦaYfVxx$PL+Qeed|}}r7,e!x7,[ o1.ݒ[pLҪI%y,L,9h1VcߙpV,Ș;t11 $"Gi8Xr~ZPI;i֢c0Cr?YSҚզTL Q |WV)g#<)KD~T+ $cNC~)mN,fCWg8N/Lz:os$ޑ:3"A0h6'p{V0H!'b>gmDm"u$DW9ɯ@?L #"LAm!S&zlE~nf ?sC'JG9Y2UǞy`HB0 _c?ɝc>7evc)tǙ850`z/0=U+2o P8VV,E**ى8<(ѰL![ wDqk5!Evf5}a5bc}Fˑc?a զ)̴a|E+Sp^'Y0Y]=kQ̴?y=dh>fn;_"\?Š|#b 2d"Y} Jker,*it;TY 9$'^zDZ, <3/4G+]OIgpɾ3Yh%If.8й bX{ e9~#JS tybRxc fJU#s1* XMlq:GAMʼnp)#-,<[gVK|pOPU:PC R–`**Qֆ4T)>&^2AwlGk8pKHrGsc%dч,fF RCyjFaR>s9B!C5ќLxV7"wlQ(t2;:᛬#׌\hw!w5TIߓ38ږ%{) lQ#@`S?AKA8GF(3m>-4Nbt%!9+ 68^'Qc{4;#Q0hh"p1 bt8ϔ&\|#0#x;]] &{ChkhIjtÞޡT:p&`h0ƒC6Ka?&o7lXdh0QgvDK|ǚAXIB+w B `G@gJ:&0@*=2&}@0qz3#=;BGoÄK+شB&cG(XajNagm'C$\A7Xk J|̻֡ ( Ӻ=j+2Y2(aAL܌ 1 av-pk)*AJr|\TGE:>%9y 1N-duיnq Wy)4ز1ޑ!,\V[qL9pHaSS2ّ(#Ap-U(-Oq;FN'WJ`5RcM??1E*dKvFa$P a <ZǬL/cLʇI2K픎P8a]VRp6H0ia|M >cZ.1ZBX<㱀rYhN-fr9VXnk# cAAh'Or;T3Lk9ÝЙG UX).Zs\V x'kL8ؐs'Lr0srAX%Na'^~uk1֚pAubsd>)ZtC2|I'p`Wn7}Y<2,Xa:u{6Gki9l,fqıQ(yYpYe=L#Bi {LPVGMSG%GLF؆@&yثI.B5& ߑ>%ɋQa#xRF}5 hlk)!&Mc$%"[S<^cRF PA N*JH)'lq 7FF/$5gz˸#nŚ*bMP[1z'됰w5]+)mGoB(L:8`%b:sXKA >_$evGK  ғYv,߻25A[bpI"!{$O4**M'L$}0b]>3Ca({YeW2S? a롦Xx:呠6;r9g$)hسyɱ̑g! a*A?m Z9GR,O$[2!f K䏜'`S L߉;M*XBZ<3gǑ 0“xS'Y晠~VGc^DhjL`>,+kMɯ<&4p?I$#!ODma0ˡobWs"k(:A,x9ocBũtO}l@b`[lPA{S{ +;W]IQY+<"4txlg6RqpOAV2;CJ 2%1Fx؇ZtF=n}E5D:m +%R9.Gh*2K2C/ ?/|S?x{a{hXŲ_E=TNV2zF9<29 W>l,T^Don3n,EK78OWc }*kjO.0  kFCuоWh/>0W_Ef8ֱx:kyl06&u̐H `s4xOqϑq1}LQOA>zgx&Ο)}CVًվ}|ȶݞu6"Z;pߝۭpдAp* l LHZ2ݹQKY|2\6E$1L%Rc(@bc 9`H`0 QI֏YAöF +g9a"q8؎$6TE5~͑*aywAs%Vc&ڎ7J~Ed!W^rR{w$OoAWc#E36ȦARc5ɼypAaJ6bumm3Gr\(Lă$faڀeo4zB; R'v'ytpߏiЉyG'OK:n8>e :]%XacocWUuW X>C%ÁaT90"9B@ht22Q瑛RJ n66IFљX%& t=Wta|)nyGMz j\Hp@!a INacel^ȰfEVrIMj1GuKOYl3B"=Ö0;%i9hwbň3od '|~i$݉b}c :zNnUR;+@ى}UфQΓK6'Q,1#aݰYbu'PUA< ;4 Io~PѷuG9 'R"pX FMe4X4pzlPw>׽ jB_8Z(`x&1#>H˟T>~Ɠ@o`Ӗyl*axqKV2%0,E/Z%r\9l'O}I,ée򑔎{d#pA[{?׶N9Hf ZA<,*Y:ȍykk @}j?@yvs}qdds{#1;BLkBu\y+mn\r^F4_'_'\D ǝA<.Ԝp+2q_y.&6Q93..l'ˎ.Nt⣇Y7dr;dRaX7Ug]>q,c`5}N Z3B6avL >DEj{K^JhؘKUAA9qy`t>hq';Cw #[i/B^o@s%$$i*\Iσ#2A!*N oR"nKPy?M@b^И`/y"W91ĂEx֟>')aZvqh\H#.s%T#%U_K7n>M{:Z3i+}/=+Zf`аXH-ei$ڑ%t3żf 15o3{T0MrCMk]ղBd̫\[HmЂX*vh#B-{dEd<:WdEPO"SbGd"<{ƃ Wpx.@%jMu!Y%#6Rln1Ŷ|l<a`nX=uNs-C/CyNٌ2Y꽡;piΉ9iO}^r:Pt'AK (RrùiAʜMeEt9{,l l~g}̌ZX1^%߳u-_$b [ݗKu[2]\Ǝ`;H1,b TLNGm\' a';ȁ|m*AK}/g+fɳsXs!@iWmO3;',,aJ4x)rNY1wkFcVl!.G|3o ֩o- (i$e`+$;mƃӑŧK5xYixn-N*b:gՖezRq2.a\4N]7ܧJj4xQJF*C,<^Wϛ>fL8v1>[ ZhoXVX}F[0[|.㨺Z|,QDžH@Ac^l~DG80fhQV+ٲBP}aԋ2A?^k8#[$}'nZCˑS$q?>&vaDӳ^G;É96~}"l%uzVvȧLߔu .R&tx j++,{ ]cI3X'tt:5'($?EKm^Ϻ}A5p>5z{gbB;B 7O4xp<;?.mz]YI\Q2Ozr濭Dz$:V41u*[qhۑ7AŇ|:kg+ci6ap#b6bn3znAc2ur{.wg2^ V qק:2ׇ'9_w#F&.}"4#㋬mXu cO`G)ʓ'!z)4Ƭ#3βH1d`dr:9h{ %"`ݿMFϺ[]f:0Hҙm`6d{N g6GU'8NK`&(k&ر: @sݚc_t'饑"`"ȿJ|(3^*S 0ʂXa7tb)L=9 1Z}d r[&~Y\Y.AtB΋}XG䓓+Ϥ:UKsr}YT^`0XX9H[`z8ǬA7Ħ 2*iE>56Caj8g`>& g7 x 7ܧs*  j22hY VnHŞ5jd\QPԏԃy}32,[fΪOE8  Ր>%w:?șw߰N7, VЌוvz#cL[6xՒꣃټOЬQw>)uAX ]jd P9I:X=x3H]z\Z_p<L9%i4&sx.Fs)]kS1OKnwM)?OÍ nGՆ4ybE\mڬьv>Wns%i.z~ңxA @,"X;{$d7TehHgC{YV{kf HyEsczzM)Dw)96D/1$9`gHpt!wNx2yG@cP3G=%ıG9By)9G~gh>ݿC=#UW=Xi'ʢ-.*@@ Xm`\1a=l7P56]#~*DIk^]O]X &[(8l=e'%!gMՕώ1C i g#}#0j&.r aivҟnZr>9Z8GRbd]_kh:8ul3&G J}4Un(r>">97ME.,۶:*uDItwȣA5&,z7 ?qG>c;j- WnИ_ I=}vD̓q}5ᓿ22v gP>B{ÎKJ{W r*&03hDhs96ccͳ25q@x/Ob)_8 RVrJ ,S,,Ō4j)2Ac`W3jqxH):(lw\of)1Rސ;Y8|zc{mL*ۆ޳#)K:?Ƭ') pbfݑhbƲ Tk" [_R񛠠P95ڷT2|E5:brWh&O3}do]1,*qxʒjfjcTzq'=>6lfm sm126q6iCNd0!$ʊf`;i/4e@|/9qQGT#$㷵H nkRǸ@V\m$)VٓnF]a ɑ4 50[t-y4}MK̗/PqW"Kŕž=Hfy8i"Ǘsɑ/ iad/ѳ0r5㖛<4okϟ\K9;>:xs'ɜv&/Árnߢ%`|LRƺɳi$J&51H;5)5G(:/vAA.;تe2/* n^d9?0|Y߶#xP ,-=007"M\kH 2N–ċ03Ao@qr Zt&+cc1D:^Jvv\5Čw1aH4 G0=Uw6'Du8kLk>_(e [IdgȤ`-I )I :9C3[,CzsҘ3a^bQԓU%{t^2w~y YlX: h8̻7MD3 tLXXjǢ&٣c )5ӎDgߎ anGUf/Kу(10Qbsӽ RG&Gi %⑩-4X"XFOp.UnQ T1wSveү7\2c{$62jNcH_ mfY*rYOwFiIelF]?[f8+pČpa:s h/>Ńv\!L0$6|(}AJsc{FxTrw=ShRiYi}b3 t˝Iyq97Q{pMM'!l83RROE¸sB~/˞ (IrW ҒAaܱ <[#>ksE9:\|@|]c#:Zke1 %(0Y\bփ˖wֺIәW QrkX2 gߚh2]'܎3[?td MɑhM:K&SnZ2U~[|mhއi-1LZy<ԍd2S` $[Nl]Cq#Cq`oCɛcd܄N?Xh I艶<]ý2-UqF{Td<~FMdadaHH 9#aA= 6rA>*zp=H2igԉ؞0 3w=QxRX*_"+z:LFL,\LNõ%n̪()Y 0O4&-A0,D4i&m?4:4f)T2nM$V+,uA7Ae>Z<3F^GqR(ulolR;K/N?~Oπt.\w: 0!$.}DZޜ6E4hs95Ş+'cjSp2Y_Pvb W.կgfHA Hds5dE^(+_ual#%ۜCΫ l(7ӣ d_ph1|@58XFܩPTaLVXV& {(joh/aH 5aެ8kg'G;L4Di*x/M9xّjBd乇Pڍ 3To69HvB\aF[6K~5q] -}Y`ͨrŒT`VǕ`;0kdggLIe-[`ͱupM&AjC^AB!LE*WUrܵi"|$l#Q6iʗ)vD_8vo˩cNP\V!Mxox , @4d&ֈxZr171COiy p֗ $݌lbu3qc3@_B (ɤe3|A+6̮ulgh(Jһ5\+ V+BI+}jWDgQ;q?ez!~K,X  @z{^fh_ ̠-dsv(5"5^ 9z4,B[O)S#G e׎%9Hsrs+z1F7g!It#7;?Ɨ}ur~ikGQ#S&9(BpJ&F%?l̻|*/fν[YuO-wIڑ}=P\7tI&Iar0rB-VnH.ha5C+ŗ8#˃<[&fY3ώr]_11%s·ȿ&'?fvޅML1~$O"i$t9<+;5%԰qY?m'vyn}H⌣1+|X>( CNW%c,X+8 C&ɟkM܍6"ca% ?]9$3e|"/Hr'}$NP?t-dY#vLZ7+ oh0Gdw;#:ZS#HP܃yg=C牸>F9:ZFm2W6Dٖ=%umfb ![I9dLԱ 8-5j#`6qf+8L;OF(@f%DQusPvA?u,& TpC4X[)0b+L*7pJ%&qLg(_ӋWPuUda&l xΓ.Ϻ|IFxddAϰx{-,Naf({l`(V%i3 ߩkXr&qDc7/"% /+f̬KL&y'*QNK]enOc==-.*t> zyR# }?vZH1IK,yGN!-s8xO?Ye Tn/\'•'3;cȽ-9hn1 n'i+{99Ś&:@TF[=rB4rO]qS S xÚAVAaX`!g$P6U;.1R鞲E$郱r)^?S:Z׻<‚9 J٣˓TϛT}|3\v?d#w&6U9@ 8Gd}՜>)9q1̇̈́t!^Ú!FuVd\]*oy(:Q, Fł3446,o%^KEW6 l0cx)PHXiďg՟ (7_xx\f¸Yߥqgi]ȅlKc?ݕ}OӃa:f47H>}]U; 9>/ݽ#1BO+ɟ*P_X76Y4=ؕVbR~ A{ddl `^m!Y@R¾<'9tŕQi~ը]%&s.Ty毐\7-BO[s:k[ , W%XI rޅt#Mm@Uu|9p5-YH('*_lFw;t};hgL5Lx +-+ :Iu)|dg<Yޗ\)#fI.pߛSaC1#kHb՗SEr3#i6F|.PpKdktT4M;C^dZ+:'pEٿs78O^ o*3f]kt{יh.6gyע&}%W_..K^߃0t Hr ugs"~H<3[$KN ޑy;M}ɲÞ&snl%؜f}9(MF/D8*5 ;eEWq&334Z@;C*4х46PQg%l洜YɨQ<,LiOY JV5v2`bS9ic;nLFdNFmثi?RRB7)&Z{Rh+EA9bcNj(JĢE,=)1m³z{< yD?!f0r _f4B4Qtf c @ֲ9>[mp(vp4^sKw 0n=M=RoZx)F,np$cZ.;Ok,﹢scϔw!5 ٝ4&'hayƖHyɃe; n[>٫1seɁi`0?tPqΗ&E8_4rd1#.a]uRb1DjdM>e7YɥtH* ϟ_ڬ)xu5-s?S$UuVxJ**sN-"Qbrkt5?+,Oq&LɃrTl50|fB> ۮjpG 3KSN#mc>'M >/z\Mm*J/bEG٫3miq\F)Θ:H& Q< 3fXB?&V9x=1h0Dw2V Y &F#4w2䰾}EL9:`Ley3wI8U~\/m]ƦWmj|Ƭ:\MFkz+6ha?SpOSagp"E? xz ԓnakYʐc2[ݗYF W 3ΐ㜜ϰwwm8ͯG $]Y2qZiL³lѝfݘzT,2\`7m!#1?ē5pc胇_ <=.LQbӎpp"`x=ܱAhT`h_ufC =WTK:_a1]9dxBGղ?N)Z \2dx_'XSC-01 Ag*ޱV yn͓>3spӻ5asܩ`;8w$-᪊t*T[zՑlf)/Ի6tiI ;Ciw]@+E^b$lIS~Go|D@:CZp-A06F<lsW%%MiS82j;8CB4Ê%`dsdvrtpdX!'a6%sLz)w(f&Zxc<D[ N:53%Udc2b Yb lgJQ`1|&F#6S 8 p34߄Y 6.8~8^jÐyD4hV4V"?96R:{lj^ݑTdlJgtp.Ԏix.w 3 &+3 dNJ\H*CeH)Q ?>}9b[m2Ц"]M9:<0ŗX ;QT"ga>\JFKZY&J/ɒ;qfFaez~L_tC S?@9)gzre d8@y1=)eN#GQb-kv_sȜ&)M qiX&>qrn9P pSJLSpP $"=<<጖ /1|wˇ+j}H$W%1/@|# xw& m nc@tյgkF͘;=FP %c$hPޱ@HwS!xΌ_e|z# 20a\G~^\hr\ʄ[rVY$CBЦJFYhcz/9:wQvSPDTtȆpa _H៭aŤeuc 졳[HQl <^gW>B쬚Fu+>,a#ZB/=S =0+,!-eW3v$|&3?i\GTGy-6K l"W=BqZ-$&>r}5ZFVUIƢAa#/ٲi =}ՙˆqf.Gl˰Θ$"/W-_œacc)gyT\NZY)X pJKbɐqYkXK rֿx&0YN_tHE<)Ir]ؿwi?<.{#U5Wv"i1TxGms"w1@Ҫhjt0b*QE7M?Z f̶iIqG,kFnLȜG0W3\qߍC>>ÊWӁ9"Oٙ(O*丘2rؾ5#sޑQ5gNٜR{]rTz:*R솨!3apY0`D@`3"ƲORKA| rE %m?$MJ ~GGF gXN\"pdCHb9*"6kGWb;#Σi7`t0R### h˸ "o51F\Hw0_gKCN@W`W4jЃ3i fp(ʄ*'I“%3hv?!߱gBg>`a3eXf!*t6/r;F4 L^ ز?Nx ?}7exH!eMI<`3h: ,?UA: RFsbL8RW1Fw 6Woz{\Զ.y|uE8yFJI$?>qEY&arLzo ̌&oaS{J720*abML#H7qƢjWQ^9,Bi:GomF"DNT2^^*n(ir8{-ˡ3w(92YYx[!Y6m8VuЉhڜa;ׄp{ҔtYn# xڃ.wji8K=h? ]p[{/.H$ʆK7W&Gfyё9)/-IaϨWpj V<8=֑4;!?񋪦]Zw_$iyf3V%QMv 㦨-HY.g%[:ar< /jI'P@d~ zDG^uSW!5R7ʜ2]ry$`u; 7$ g#PD0huf{ԝMNg;8$00-K*z>v,av#9rq~e9c7˦zEfd0b&Gd*f9T m/o&3 Zb}Rm3%;Y1=mdy&WCe06sbhj3ÏMNNW"<#Cfp䝄ozA^ce1й3`m%}]S %0pZys̨jۅЛ22 D }Q;*0iȨdKNyG#KE΁&kVY'957hoH❞M C6 J;#<2V;b8' Xo=4`L*9UuwPJ-MV Ӫy3nqYUVGA#|hHAP]O*RKHWLZti'&" 6 (,ԘS`-,IUK-_zm(1S}/U@!PKVv6~**g۹^!YCp0# () ˧w"2m7EXͣeڵUe}Qlv| Juׁg xi5N1vྊeTTz4k/()[o0iXX ɶiqRY7EG]Rn Md'-fZzi=<G$b$(1<eI" q>GDX+r=PkBzBL0{ȏGȷ#DLC[nW[C5f^ ktV=qž`ч;av| ʕ[Sg:5y65(%a:mcЙ-!2?bKP571 I^8v :&bYgAkTśD _RWx593!ćmqӱV}o~H#€ $8n}.E*RbKdr{zO12,ĉH̓"T88nMRFC!˂3ʎO\?@pݫ=[e0e"#y`5%W8et%Cr ©mdg0ӗk>Q!&5.:>XHL#01fFGX#QdPTEY9Khm]}-oE|)kzHozcL%,0C5_|S Q ƭ'&0PA?6)QS3;l#JC- G_=xn\;>L\Aueɛ)Z(cB39&&PM̻U]]UWn !܊3V<>NE\[ŕ2}H('l:_tkc;EUZ&̈́Xb.dDr@bV8TEDbtzK',BdV}8dLP"vg7Bu-3]%H6Gcnhʍ6.Ğ=j MbAF:Vn)0Y)+qzi3eU;lĜYlYGJ9zOv|Y*LS 5]#AH.U nXoal qGXQN".v,-S9kfܺu\,gRk63n604_d2;FTG *a˜yLVXp2a5 7{DN|N&rRsКpYd{An5Ϥ3tg^hMA0q;`*n}bIYKh-ܱ|Pq-Rk+&Qd2 7J0ز7nX&[ɇO^i8|mc (ò0nyv}@i0TA69tݿ,w=v]*$N[0+|(ƫVyJlm uROrjv rs+ҳ.j3N$ZXv+)Su1{ֳMGxH#9A~E%I: -b* [&ɭM6QD:I@f50a>lG3L!ڔ9piK#3Ađ#N^ nn~3<{/Sp\#OB.1,D w\n/q7!MVIco٪Q\QBτ&V=,KF=uSwɒiCtRpC$Ipbyˆ- ~k,ΞF;m&84 Zr!}]ɑ'TK' Hs8BgXK2w)A1~idŅk4Hp.EoPvqp ׸+^_x+ј9TN_̼2tpcrY(^=a-#0*s=nY&)_-c_XHE(8Ҋ( Ʒ2ĩZ$JͽЃʥ) sKş>;Y% h[A$ZD+qyrvqL !ngq /f}qGu5|̎j6z !2}M8t Rfs$G}ُ&`}kh0"E4SCbR ;`/)RyPG$fAxWt֢ўȽXh-);G/\uhwoTD(M4'09@(Ao vht )m&Utɼޛ)q^$É\hH rLIA0+Xۿ H¾TɨS.j =/f~Zf?c}&-^ Vg|~Fk LZ3r߿ 1v]8̎ +{F~-) eGR꽎ae^g%43 Q#Nld(AsvXӐW2 ..r$RPYeKTq}C eo6(0<6 ň*LuSi_}X$KHxi 幆ydFH#8?i`r牷oX/aiH9i5uFvc =aJ8")hpȲQCYI6V͟sŅL&:od;[>liaulK*%堆j #"ׇL7sLe͋ao3 .04?{b ܻ/~5V:A'dcvC"dzd YCbrÒ}G.ft!3CO{1]Di1T%g^z2\Uąۮp՜3et~5SyJ59˽xX_X*C1 j(a)5E`sƙ3Jfv]Ӻ!4t5a;638Nd .\:B>= |Jp``ɽdqcs6yksww?ҽcGU Q2,yn$|<k!Cߥ8~΋TJ A:_R\醤~+-+犚W;aqjO։twl]anɨ:3hYQMB e9|NAD=˽g2U"%2Bc@@os'qtf>,NgӘifp׉ 4z1]u I~w p[2)FK?ɗ/E(jh(̿VQVݤ5+ ɍGz:8eX) ;?KܴvZk6*Wuo5 JhKL#2M:D]a20w  zPpvZD2a'. ]4Fhs}c7g_)q@~vQ,,wB=pu3x2='cMrdLtՅz~w\i6{:hg2-3`\'i~81V#%u=[ƝY2)4[X^\ic{,3\Lw}D'Lڷgz6#uibwLB 0:q vEM~8}dOx󥡚{N hɂaZatV 6j[>;OƪOnlSҤ!l>aXUR̔pwe !Ous&=Lմ459+,vM-p:{GLݶё&wǚAY48A:9hWTřQQYjP( #sk钼QqPYeܦhH0 .<3}YX>t9F[Xb Jc;a# R,Vghg^NPTK)t`QPɛKfx9] Q* Ư+7 g(/r|uÅ&+:_w9jԷdsr#Vjz #s,{ƕ:7܍ k99׳[إ$͎.zOLbb yeܚ@PNb]5T3dӅj_M.9 0Gm>%+<T":6&e- 1\98MaAm3D2o8AJǯ 6{!"DŽܿQM; 5&y>EqHi//6F)UL oS/= ]NM3i[+M #:~ ۖ{Mizb&V`SBv ԇ$}DxvCtܮ}=oG2I_*Ay#e^U)\}S{¨0&{>C:dRciL^IҒ(A d`hV Hfu5 =qH?3b>f/~C+5J7LnB#ք۰2[{ p8? ^4~^)  9K'OYO%,9OOeUBzV¸JF&Q8q\',OA1ER 0 mc=46wHT8D(>pbR_Xsžk 1 Ò4Ya@y(#.qERrrff9A5c[)a; 0.5s͒(jLU@r |8 ȵTl sGXfrQԋ94qRMްZ] d(fWVeT{@z*jD 6#u#f!90|t<.i jW fd`=Nq,5*˯Hxٶ!72CLvXr|Eo H2s\=s^sV5L2jUe4q+W2,4ӷ.xSt0?ߤO7vt-<^ {s8b[X3ƨm=:x4Lx۹?7EL'[W"w. \f=o*8aϱ3s)lx٨1>aOVt'ǒșuH2,2, nsqhGC ĩVQ,̢!jCR0 ׉Hd! D<" bo&[rsp*xzFL€HhqSQ2n6SCv9 aywJZQۙdYWW0ڿOb5bZ{hۍfF5gkO= ,X9NS TOjw3.'Q,f#ۋt)yA^YP]l f)1i/qd 3#=NZPO'3(74뚒P1%vgxۍRxt|WكVҐ2˸O{0x:,@ռ7 63ӑ p^& 8#nɣO˞5 {grba8*9*C 3W(A58\J=℄8(pOlǃ:Ɇ%6ևêKWe[R-VS']p=ϓ[i_NFLA\i|TF|:^8wqG>s5fZK?1"KpyfRnAғݍMI偧'jbmqg<¿x; ̸=C+?[GOB5sۓw4qw|4˸#0 $1M9reхx'3e];{{59;BJ]E6tLhm̟B6J'Gr~TJ3 SKp90cT`G 6<`}6g2"yI4668if6|vEbx3&:F},5;(@s"ب> fu9r59)GATGFcRY(p7U+|̵ݾVݹ`b5hT)bT4ӓUC㧑 gRrŭ:cNQNkq3Ν}ػ敏;1w<#І[3o*iǍq+Hͷ» }`Tj6D De! ߆{{hv@*wڝn.xB֙J,r3:i#a J 2r4. dg4k_I ںg d#5MΎYIN514’rI|ؕE&qh HF3g~}{ ,k U>NֲN*tj`d 1~Yxpdវj&dnF=[6tot,eEc7fm7О(A"sUt.Z%Oel9 9.LL'Ρ51d cOs'Bąmvgcn̈dǑO=jRG%tȐQur3]$ʙJDetFDDZݫOQ%>LVQ7R^sNuda7X@|2w$+ 5)38PHƊ|CDL}H9.~;`$Vc&@i}y"Jl^qCL ɥ,Ԗ* ټL{ {'_"`t8 0[(Ln$yXղ( {.ޡeXĹ|#,W%Zޓ[u/ jb>AXX\$g gpC\7\A۱`$h`i&6tO^OzSw=alh<QO\6,3S8u\d\nAbp5hX#)=,\28_32 pό5swH"Ǭ*ԥ" H믅ly.~wdvEn;›a"9HUm qmFZT8;#ۚF\)ҚΙfڤ|oޟgݖ BR&O҂A@"7^S%[ 7Qa%-ju6Qz,F )EF-ƍg`>q/Ma7V%Oiag-H=޸_BP CV0n) M6D֛uSrF$_1G̀x9B9PIƘʹ;X5wd>[!N#źkG˷XY[ӱqՑc㟓q|ǞUs!ܛp o~8Y^1eGq387g2;fxrx錴 -F^ Lt$W娙0\a:#txZ'ͰyFe=P!lđW,VxTUtK7ZY29amʖ45IɸyvC-8Sf^6&M]ҝEƚLΫ1CsL ?>_c02ަϤ4K@[x1@i9,,\3RFOU.,5YҦv 8B@|NS ST˳8e!OkMwѳ$p8jp%,Ⲵ *`k;jgE*oFQ鰨MOr]ѤA_zn,pMsOUgd GBnET:oOíTʛc\ّW5c6sGLdm:jXS*Z~Sރ)Z:ɛn/ƽr4 V4S乇<΍|z/d9eʶ3mxt0ǽ+=iїakfԺ~"]NZX]MhQ`V1Yhp0Іv-bF'g2C@|Ŝ-ʮ+aO," gcˏuźdvhKpA?z l 05&(3>#=;2`Mv[w/xm"p?+*$R"~F,`Ed*DŘOҧ–bjIVP=䍔ٳk-"7ʙS{{t=:xH98r!fb‡\x5Zu$EOro:[]M#˶lpuj:XV؛w N/fU4i6 Rմ< 9>hGq8b0JVvf̿*&|g>p-$k9+SOu,J}I\tq-{L&b.XpV\~xB”c_Q0g $xω<6I0NbUA(Q?v}e7>)tT<s2zZ|UUzPv*t0Jq! (>9aE 1RAn\Ɲk ;Ъ9\$fޗh85l4//P"DG!&oK꬞$\*J|R'ꊸ6trԧ4 *}999M4.0G]R |8}.+ֳxƖX[ŴcyZm\1ےb3,3nZ_ka7ŭ]plpTdcȦGy㔘0)04V"XkpQmy2x&%d_.c2r*=TGe꯳6Dttۖb  4́Ɯ47kp Qi<ҦXC;GSUDj[vxn{nD2_L>KND{Pv ^_kI~"JGR92Fsz#X05İ (ᗯ^ɔɝV5 bz.xδ5jEADnBOCò0~c4ۅ?Vx*Vz5~L>ș:l-rj}u㫪<=͜UzX–^>ٱϘBfgeP: g`d6{9P$d)UTXp؜rzO4l=Bt*m&V3J4vճ2rJYf8<tdvŕx͙C$`)–ꋾԌ"UR} *DIG 2dIǑΰܜil xJ1~JLi<HE[w @3@0͌GxHE'"l 0MR4iԶ*N09 x 9ĺDG^6, (=ÿw2ݺ'Qa2M}V(ɧUv5~!*[7d=qxWۛOLgΡNysL[8Y.;v)8cVƦ-g)ۧ&|4~Sc 3JњRsD&`2ћ!>)nOR;1)?+~7,LxK5AU^;}lOD&" f ~=z~})$BITxO~S(+Is y4<^l|ɵG0/.k]]I'ŠTu: >KK겡1wVvzO>%S\^ b64@ `3@ t$! XF3շmݥ&+ضk,ͥF#dF0̣luL)$%Mzʮ\G 9$XaPgp(H0ys&jPǔ' gbN|#$uGM[ Փq@=G\r#&$jlNR;X'Fl:%qr/j/gV<,p8h$S"5bw[{E{5'`FBuS0ע.Yט '~t&l0Z:+dyi 8 Ա7u@aY~?xOI dS`*x>2`,!)C"8eb`ΙF|綘2-Oi'-ğ/mYMY@л4y?0IMvU2]=xu5$27$bsFyf>INZq)dzb9dG$^L7T[jR/ݱ#Cx,U 3Nҩi+,@ G«Ei"zb6 cDl C-SseY>"$_bd8ISKҎ`OMPNG_cAlT STC-+`M#? >ke"^+m(oLbX} ,pgZk{ rp0MS;U٤{s Fȸ Rƙ6:>Mhܲ4 gƮ^TWd׎xQ`UPNsZ5dgt./w1oHAҳsGZg 6(OWx&tprrэ҄ 3zyi 1,m1$[?lMp|ӊ[(i}s : !0ԔhFӃaenZ{lu𠟜'tUKRzA)PXG*uf6 -wQ_ݬo~;W=<L#Yqre* U^ap& w%f]{x"ѧ4y:.a/ Ŋ]^zŴQ yOZx5tAJL!EFǙoRwf~(drê$ 8OX$ v4?ka-_ξM`t_S%Muvgs{oEyeYxݢHUXOSߊ-Xm(Cc{m5.G<長l.v$?RPg32M>xOhx'?z.z]J4g|ne裀6/A!|{8_3zOhMcɢ<^5G5ඒz2lBQ;մw8^hՏuIG,C'1CAR^ ㆀ)"nEM1CI%K.ȽLq ֿfy$DȰgDLgbu`C,ql>"upOZPa:jPݻ*488_ TeL|ܾ):N6̉44L5 aT*hX)\AD`k)7XYaDQ*²k6V`r/5EE^&a2i_ڮ|ѐ8A(n[43'GnEJ-[A1jy+3;zE p&;*+K|9>#=xECB\.qBBДvU{kWR.#CbڪpzQ7/Jo/T89IR42Pf7CZ0:c?Ҷ(%FN!@@iS"4@{=6xp2\ǰ7QYQ:ѯڹ/JOXK {}ӎL^1lmtt{GYebc$Q Y\ĩ*.MrkZ~ZFj&ҚrO屌J6D wQ"믵Rj)׮}zYpD٥ӯs%9]K!mDBh=%0W߽m4'-p ΊeQb`fW/=˗JS;u&3ADn`єKq{cg?{So_$;` nL{Y]mK j0s$ldfT?8/ 2.Z8Ʌrė=>34bRba<\p>}4l'L9L P? >rW Cdp,r:Z1cQ0X+e@c(1P^kǎ2gBҖ?z`tH=WLŠQQ xӑSCRa'RHR\3Jk +}]FB$t^J06AiaLPt7 WjטW3̮^nfc5L>Ų/m Ąb &9[oŗ.AbWJi.O$B6`;;lfSJˢ'MlizMp-$v`GŻEVǪ Aď8$y6``CXkIĹG*6m*ѩ``*\ `CYCBZ CyEᇎZy1w.G0{ro/p3% d۞&/JvkӺt3`r.P73BWɀjw|lο$+Ax<6mui&fj_XKOȝ\ >DaV,NWf@;P#5k{:"Uo=RR#x # Qն#EhLe}+꾱,M9-鿍IK. Qo^mN~.9EU_.:126UKvȺ:l JK O>&輖xja |R<$E)T`VTr:U Vq0[TiՓqaf*db~!U%ylk͎0 ͎)4HLW-ڝTjr숰qr<6  sU$t?4,3 '%Lڅ2*YR KUP`2yugGnnv"@[V#稑Gv9MxRI1!מ$1t`:aw$՞.fp,T,F6m⪿]U2:ݓ >^O㋼0 nL'~RB+MaM aV'ZvaG=TTf%XI)mBh|&U.T⚑Mlm!# lS2j oKά6hÝ :zUZӧSY\e6{Wi.qѡ[8vݣWZ`|bX_tA7}'mL`7WV ee.$ p=Ku}9_XĔh @o &ڶq e pBms.B>2@68NI@Ye8UArg3)i%8h ypYBH~ӫ˓̶p8˸c@qTD ֚gv2'X<0MyXT9j)_%o60.PN+LU\FK4p%AćꃥV4\ iLz4ܚy$--u&Npxyr;pM:# x+kgJ L;07mg+R?ZG˂8zܹ%f_H8`Gx+E6r^o/G rOꄧ[P }"lF.YV5oA.c6eYԴ3ݘ)WƜڰՑ,=fal:pfe?FdOW& _V< { (ϝĘGm!'=uG;ނQ$)\H{l:h"m}-S:Tynp0馘ڙKꏇ[͑~{)sUgϊ1 1fkÁcSlu!WHV^K:&a-qbc@v'VӛJj*46G?^̉?=;;ljpiw7ʼnaʑsSDȔʚrXG ˓P#4CE']6&֘Q1$zڼ A hdFVUV4Ϋ&:3WPR:zMdEq`g]ߑw}F oFvT;Ob[0X7Q|cK HFsꁎ9Qec {^1 2Q$:M-&~iLNo*nJuln@67Ģvv+K:?2Q[.uu` 34uó]z5np7΢_i p*SLtmI;+Hb2LrSΉ'aLK |CA=p#S=9ˆ_K7` [$ 0X7gQ` /-8|=?"1KɺՎ*Q<؛ߘ<_KYSX qqLʇZn( Wvn͟Z:k fr\ۓV̲mĂ[~V́`MK[GV5boXT5*8WVI )C00 Je>D7$<]LD5 /^\ @3̯D%|6G"s0L=5 ˛ #ysPnMŞ #*}>'sǔQM"y6n4 6 |y-`o@0ST@GxNclfMO窷9O00YgtQa2LRE(JFw _ܭL3WiaXz5<\V `߷šx“p׿B }ͩv* ^>wZ#@.H+ J !_*j0&$2FHW[ ;>P ˝ƛ{ ͻ("u< !VIߓ}:{ZMƴ%mŎHg hjQ^|Ha/<&/loKGR%qZE_y'L<+*;kTnUkԱϨ DY46 աR_;t ԣ (4/ Ћ\8DaCư*E8]4p.UC4x9i[/qTO''i@NxI\_qfcoRX <ؼ*q3"UIMI>@eMO-R 8Lps$/?6K1@F(=2f4L0iRp^\sGr3i$2ZCf];;q%[Ƭ05x'Jה&$[B1eFV@~P ā)s; YuPR`v=@'"!|an&,a͎FQ:h^2A :t7f@n*eF]ɛ}:YhȷEYD7l4ҕ82; ¢G>oi* 8G8YT,=֍&lx (NJkOJ SpӁLO*0" "6qV0ulYq#8E~ lSTXR i?D".XDo/!8TFrCυ0*.U&y~\4afl1mA?íHa&S`W)1 rw4L|U9\[BsVP7`1!8$g*rOFщjj}u'ɶ%ŀs %=?q<M -cUL#>%hMS&ks qK L v-SC1"QQ K%>TڙYa){1?\2i( iY$Prboq 8e6+!Ưj#tO]~}ྼ0T󈷣ʸ*7[0x}neacKI2Xn(R:x| FhI5{M0Yg$_?hczs~>)jOX{?F Ѷr"TN{'K9O-jjq8W]K3~W;I[h#-6eNł#NdabwFseb̕;z@Y PU՚)+2ܑ9_`.i`ONnc> .C^>bckyfŲmXd MGtPĸ6r`_?$Uy`1F`ϦL'Jomff>oE‘NÔ@gޯHb}^ So54V:Jb=OQV8> ڰгZNH.Q~UB)3PJg!Xm82yg!U샗 i8@xfD8$ĭ^z> =:DB1iZ 2mӜyXvSio1Tۛ 6]7S!M)Nq[MG،܎J }N[ +%p2(O&N&c)ɟvGȮ1o;w߿ȍbcُ\,߅S=0KC StM"}(~r)gE½aKk^#uY%݅clћ5灌?6\f7u?q5'㣖&)*JQ ~SV1! x ksxwTMY7c 94dqX #t#CNU1b~p=jv=ik`#-SᅦчVl}3ĺ-xG]հ5BT3o璤҂$Q>(Pib&}σxZBm*`b\RT%ȣ!|SʮYFH -2lM1?;eUmo*}Kh/CYޭzGoIF +%8Nj<"XH*j*a^5(Td\/\QdT]-_3;)mP| Q>Èr c{MZi[^S]\[=긛P#-C.t\1(v2%ɔC)(V]d[3R%IпkǸ}HvC'OV?:8†Q WƘv MM&d! (bU{D[ rzG~ʎǕɫ@b?-~ m.J0ڿժ"KJa܆Ǐ<+u4ř0S;}0MW2 t_y Ůr.0j}~%JP mMӨO\QK 9eQJ["P>l /Uioz|i ZAȀcb. Z~Z.W HjC:CzSp&5Qj PN.~k*_jZ_Y::Gt6+ET NB/SA^rW4f8'f~DAEv8F""3nfIiύ!*=ep4VU#frў8&Z_::C|KH1ߜT W׸[ٓUU¾à:-S¨ T3Ҩcn@#9I`R\jZq[#rrhSN.࿫ܤ&Ea'ufoGeyH~.PfW[3ip/Nc%U4Hn3QtнeSDLd1(JꑬIS!S"z̟,],R"jl}d<}w`@ezbQ`>99+U\lQUϺ}[rp#jFKAVdX4U)ZpC\ؼ?u*@+rA8Kpifي(`Y4챏DjtuaW~;Q-2CF0DϺ_%df_xOFY<ps`s(inr0W5 __E7MnD0Q=r`==X"\+Yp+9ԀNMP4Dl6W*Mn67{}Qv%#d&;Xtb )JE|cBNxYefrO]@\͘Yqu'`S-S[lY fӂrMz0H"SX_ d>_2LR)Ss О"!;\g )L)OVgLSs^> ݼ(L;u{-7קS:UTn&,UO-TdJ?bdrNQ Y+}rY#GB}xkHdS{g22RRӣw]\Nv?x]~S ]~Z9?!̰ +Ŷmq-[R/{PJSGkx_*fDeD HgR]N^eaAbW}&ư+!um;(K QV++ 7e?/ca&BNora57WDKrK9DNqŊOٙT* {f!$¢٧(d~><@SZ E?X[naݔ+O8us!`tNj: ԯ?ypu9MHsUIAYsbe8n"2V,@ɲg>͚<286!Ux 3Pc6}^WAjOpf6< [sX{tUpKW+[F\exVV씃#h.$[3ǩYu+ ;7ռ:k-&mW5S ̂Ӝ?هErSiCC[ )VQJ, ];N߀ /K@߰u_'ՃI ?\|c=:Yy?ٰdPI] ݬ,J;scnllo@Et]="&` '* S_!sni)8?ES6J,Ť0K e>5kzfE(WIf¯9o#ߴ)/,6j'M(bYN++Gvpfr.8HV=! ߆s O^~ L#q**4Gn'.d|/mzj䄋hܪt팕5ܨ)A51P+WE\R?9T71z{nWu"ZcOyG0e'il<ƅ,r{*򉿙(&!6= PLG:U踻o zAJH6.K,:s>-vE}x" eFPbwk(/msF%5$eݧP*ZPlw= X[X$; ,}gƱ(v"CT&}h0~g4CVTͺ"a q /K΂j8lyۡI OC'W8P u[ )9,n7 #9E{^e(jgހ\3187x[;`EŠVFrA)\~8HQ lco]Vm%?CL(!j7~`:Vzr^3v3QV3١\I+LVJS`ګr&I*:ib[uWdʜB-8c8g/ d_d"G [$xl m}&X_'M ;{]6>CάfM#(0-Q"tiJðOL"^mB,u-9zr⨬ R ۦMDa)X(P8.0xͦFcRY)syO]"Q[1B~RAlc U,9K0Mϻ|_;%;pٲ"} oQ|=I+ÎR S\RSTNNp.bƏ.ctC2砞AFs-d r+LHo>`֗' G]A*òbӱ!IGd:qd|* Ez.qJlh#QG\c#sVBB] QɅ{z>hkQE%1Ƣj_uƊf yg[sݍܣ\MX:+WDDh'jf4_J㲊m+i#}OӮ`;Jmr%4yNmRTL 5[/QX O0es$֍B),FnD"2FU)땵P 1{CqxGG ZvM#dL퀰Fދ NkrOc3s`V?CĢtCjYnw~&()$D~q)T`sa6[U&$]WǭI|fģɝQuT1u\/6΀ёYx]EYO,׏yIzDaWto }#d&#:~ozC%TEю~hoY59E/?ȹ,LJIiKbkfxR;NfPdK)[}"n$.fCt.ʉN!<ԨwUSr;E{t& | ^"5V=ъ(ΥGv'Kvh_)y>h 6 5ɖVZ?⺙47sUdEGtL*gV*g3,8lq^/(f"H ~6-Vؕ"oA>m=@kyo/%o0*qj {K2sp|>n~w6I{f⤐`8 fǸv+ȟZ )?暝k M-_ЇđꏴRnB(͞ s>.9kƴVJ뵋+6Ie ]/*F gnڦ!GB07dؕv"Zf;hT$[w*x 5k0[&DHw9Fg_4Ӛ%?۾aح1ſ>C \|1-w0L ej+v~ԗdmŕ`DYIt|=⓳'>" ,Fr&8mrų0e|ܗau81ŷ= R"w"7lN1 : O`8p4V҆PxPCVZ1uEkٛZ}ɩ bB_#6tl1^ƒf{t7rUYPQ+r_W5v !"0R͐C6<9J a7^b-Rο 9m wa)=b2ƥR) Vw=2sԟi m8Ikl loZ6ѾSvo.Z5?;S[Iڛ%9E`xAΎ2FWhzoruf mv)rխ$ɭSoC 1a.Ȳ.un-{1(y,DTבA :P$Y8>ktsOMAVqͩX Bf/^CVXeni1B=IF1|2]OMl\S+Ѣ֭bډZ3pm^ߴMuE<%0$20R{\°4fjv~AT!K(3鑖r _RecG̵cfE?_Aߺ2zَNIŗ5˳.ߘ:̟&&'O)ЂTi3[!oJ5]u~ RlGGvvݛh#fk?7״O[\ 6NbTeҽ'@ʭMz ,R'G7Hr@L4{qA!ʂvEYg'8\`iwI8ǼYUaI㰘|lb0D_-4:ᶒ zP_63'W"_?!h} 3ϴoi'`Tꏹ/Se+ 0o_AkAZYSI-ٙ98!`gHUmEM'{CI_Z P2.&4XI#J#Ed4MOܭʿ&|fDnKd RHdaza1qb0n+_3ːb`"Jw^`K΄A4e-qc[=5`yC퇓tn;Ձ(_[ #XobWZ?ZV 4\򣲘[so.:lNh(ym?j m1pcG q~Iʶ"p[`al[-}d=LxGC osg4~!f4wu$")q6oV7u-|>b}&A_2G)xu 5.7 Rܺ*qP{}z%0}('_+ڭBsH 7D9yZMJN&sAA-ZGCM^[ZXY:2߻݊Ki U5 (`.~v/ c&fl%{5Y›L/=`[赘 ΅ǖjX)uH(;˥l8 n - A_Sj|u"/:-IRım&L)6!h t}:F׊ef :SjeR?#:~maBqP& a Ą ŰC8<322?>ou)F-c^⑩UϽzr,maʢk]̽qhYx-G3%f3%& #O\w*v(4/.c\Tn<$B]N9y ߰iIfBr^3~x4WZfq&bN &?hd u{{`Ȫuњdy}3,+K 2p>H??T0$S" : 0 0J7]L:\ln~q1;Ȟjr.sZtL~=+IW}/2_c9F[hu9q34V;hP-ÏOޛ.B B b?ptBxż, QJ$k e4z7% )B\.Qޠ| !)}1/+eW@rٸaR$sO!fTQq2?-RMkJ@Suur Z k\e=d"zD5O! S];"l)FUd 6oRh5F hwՓ+xc(ZRRw&pi:c hƚFpw$'vB]ПE**9X}>dVzlS3gL IN"JkgW q&,w@Ԑ>n^8ߓ%=u#YzHgOQ 2Ρ,\rAUHJ /S#B #5QvzN$ Gok|w~o; OBF7.Z70U<ޜy[xJ"il~3`EZf?seY0+v ;X|1`CzqsSǦ >^ ϠV/)N.48tOk֔yKVֲcV͞P 򃢔Ut H,Kz~W;\MPWs* 5UpۧTߦ*(Xmm.'Qv.D@H,84ڵswzF;+ƈ<%HR*Yu$/RepB^p^=FQMGIv"hpOe&|_aMf/y H]x2R a9h-ö8/9%|5 ,|I-99+Ry#& ]<< bRrzԒ}7Hkҋm@j$щ9}v&' PO*<1O2߲jD!x,w@G''Iڝ5K+u~%faGRXuߐYr؊&eucħ f#j |nFũ&53%9[p*9t9įZҟKtX`'po ?dQI"/ٲE d_0,ƇQNz1gۄRhd-I ዬ`Sٕe/jȹ3r{Dfźfº{>s${Kv]aLv!urce9,di/V1_ʝTZ)̵dKsۡkDp17pf޸(8Տebj,쫬m7ۭx`qHu]s?!/Oig-E. rMc+xnk?lG3}/OvIXi^AE;q8CYA/kg_آS-:qb?oǐ{477Co XvA1MKbjUR;T5WTǚY׶@~lF8J({MuZ>iO$BY@;T;sHAàq4E' [uD0@vt)A>4ߺLEOAc~RrFxsQ3jq2CwZ MS6P+N:~Zܱ]s+5`)25gq/LjQxVvdbQCᄲtB:, 0Mg+dձ5$^DK_ژNIF:c>M@.CV^<`XcF-J+f';&붰?ƩoPgjAx 0M73q>6`>طR>o~Dq,h_ a gapFwr^M=l>E[xG{8y^ oЩ|$OJ=<A$o\?قUZMb::z盔p֩*|Rl0|P=5eqtKs᎗2o=~swmPOl\ڏ-~ۀp|)}:02fվĿwm>qt::U`W%!,>h?d@ĩ5J"Hb^4nHeu?kV!z[ϓ+BuCgOYe}"ݶLb0S/q!juû5{3"dw+eaQA#DX'8d;bi@AkQ~L:!Tl+HRIQs[ ]$%A%icn j#$IR'Q:, [ԝ4"_u9ƺP"X8Q;qm_}zB'%m)5zym "F篔8Qg WD\V]p!x?af?v"*$ 4/ܢ'SU{7ᤝ:9v lveɉAQ%a9Ψ>v "B͘cՁRyWKk#nB w=O4c"r>ymlQmYPȩ)&qjʦHw#Vm6/<y~7hbP1 , &=C*xv /ElMẠ̏r;=׈f Q739=&PG\u{ErPŹUpk0gp )by6>GyȽ{0fl_W}nؑBbO䮝0\;R3W 002сb,P38l~sW CZAܵ|< ;;kU<=ʳҌ' r VyurD^6:LOCa:~l vRߢv*4Cg8}+MqY\)N9?-8~7޵ijtL!8]"HHgZ"I#H,d5$dWu:}`yU0Q9K}s؛ @ueݥ?,qO+?,m`:sH@Cz7J래IqO L*^A<[|2mBmo.7} qٶ|j3M?%D "ݚ헱trvE_L }gЂA^ē~Av\,-3Ϯr^tե_TąZ>׵ywz4xi O UGBF hWB{--:ڌįCs9]Յ Gk:b4WD u~~]2<3-ݲ7'1bg5ˤ#""4xw1zT0q񕾝Qǝ0eD܄ \ v<$j퇵GcΞ0ר/ޞ/gq3ZKʩV5򵸷!Ŏ7'Zp]yhT!/2 ^N|¦S6g]߸ *!C˷sPqY^q^2STߔTbF.Y KTNam =x*&ϵbecJNLfKSţ9gmbȿs *+S\ȂZGV3b/~?R%Q[R/iWP8aMdSW%tzc9\1k#XQK؏!Qz2Nb%XYE1w(N^dRUmuW` }ٱ];NȪt젇OeXԷ Jn ,9sL DVzkk.w(rw-OǾmT\@Ã>!2<;oCEt$d>`W@L?"Y9vJ}:LiJ _؃3U`cY˅8vÝ8fdauy9PXOR Z7ɺ C^Q9 ΄xE 8v+@! iчݓyn|ThNtM5S $o:z={F%Yw tO[@[)3n:B@Yk^{:n ѭlnwxA Bz*aa`pEIn^N(G/~l۬#p*z܆i9hg1]4AZ { 'G3HтbF!̯n2njPsP4@lDg׬ez⬎35Gu#̒-SB)ߝK<}-C M蕜,ƓI_>C.U(B@?^ ]`O-Efq 3CPFg=YѶX G ^)X{cSr:gQd.Nk4Dd)gDe{g]t-7_$''AAorq%8Ufv^] wNKXciLEi.Ә#QrU(FQ+W|hByV TbͫxwW H^si~5]9L':BZְтq`Mp nfNφi|(dnջn@WPC ^3ҫGimWwIH5vO%.~?tKP%ը ~RTc* sn_u]&qk:1XLF1&L3/KܞdV) &ȉ᪐Y+8Y)q۰<0 uQbXpzdzudz=y#i?ĿrUPEHvTArZuON :_`yA,d=Wm+ e=Χ.&Ͼ0US@eup %bߝ'VPؠԊ bӬt,/_-G<M۷.=.#+*e/A:yBr7['ӆ"獕u|)l%[Z%#q!A +)q4bJp8Gi6M16GQ΃Gsɰ+V^`>6C~W4 W=xGhyᙰD4vLUcOǀOXϦs*]J3"VNQVg?'B`c`2R UYHVLO9k &{$%^7o(ZoI1\Í!?K͘BpRgkAlA-MoeL(U p;w'^WsHuy<+Vl\wGfE.~ߓXwb%}X%⸗o כt g pc{EKte50R%?ϟE@q zI)JjJ#Pk#5Cfz~[ TlE{!t̝UsTF3 }+)m‹t l~74 /2F| 㩮xl!4ߙgWevc`>8$V'Icx@F-?J meS;R?~IV8+M lL<2ꀬbbW男 ŖΧ/] 0z7{[ЏV v;q6kUO?s7WlR7CLKa<()9}|jG9wdQbnKxĥ}Մr c(o?J '|vMTX簺IO%}kZ>>< ]B$s>x! Q#7& 2blNMC6mqQ,y/XxYcu+L%;2IP!A!G&$8Nْ')4{t=g~X%c^t,Ѿ!*ѐbLVk&9ˬ#JC-y԰덎R,ՠBD@ B'", 4Z[Bw8w={$[ +̌KXWA}> a8nzqLʁ$+{K9 o ',FH"ԗj0#>0ѢX6+=@ Ƣ):k_L~2 XY`m6j>&E ?ȎfBm!2ǒJV.7Fë&/,T$$!Vv5ˢkN5 5ezXjap-jy;Ӌ(x/u%-II$E#dpΨ; ~l|f}b]D񱿲ܦ p.^˪D0I5rJiO$NcQrx2M~D帝Xf6]PpO/ǀ!0D!70>SVB52NI/Xv"Дh] ;#`YALJvRߢj+ڡ [o^Y߻~ ᾂOE5 `f?>z+7"}nËJjFi.[D]Is}8hOL"Ze%!ٞ.[!s, ^zظeVHO⸒7ƭDR3J6u1DK_QKeYBp0J(8 Z؛f\kV qnRVR)R`dWUG\g$U!ع{X/戦t#-:bs(]O"N[`[m?ɹ'1is jL,l Ў7baƕy n:jdES$lR*tV3:q Kۘk]Щu2dEH?ڄ('j,8(.UK&8\[qb({΍}#)w4R|u" (tYO"HPڝlۑ87ãB=2~H9ފx|TZXg<-YWe4B۫2G_FWr숗HcazakZ'?i Ǿ74TI3bv͙1̞S^N%qY_wV0B)J"My.%_*jc,~Ech2o\&2@VᦝUF!]!]ؚdT~>UMϲq#r\ #_[>3]|eB7;% e|5=h#h]ERr(it5i8Gbo?;T :F+Lݣ~F]9OMRIIۉ{{{VA=-ͱKOqrDߑ"tGN֝4qJnd aLj˞^Z7ǟaf2e~S= nksB[_SԥjPҕ>Os]2d;h! :~k]|`AkWRWQNU( (H]d\$ND%r-e+(+6$i6ԳBEI 7QSW>K9{GHTvhf%%iu+~k)$atHd]hw HsC dr$D%6y?% vB&IKpHK s#Q17_Jb"]!!dx s6?I +Y^aY>{"l &KEKui3l-a.trƯgg4< Sl[sӥi0Wb ZCp^l^BlG0UR|' ZVocB_f'bn$(%Q~V._VZ(,D׆c4w#nTDru!k*΢gB[!g%;ݹB]l60ZMt%ٟ<X>upm'i^m $ЕX5cKؚ fj/FKx`w:" !ukDp4܌WžJ}dؗFJ Mc>ɐ/Yx՛פAd׷:cY^]RZL 5]-քЦҟ;;<2OٝK ϥ96'XmPf3JlxJwVܛЪy[*#'R^]?c]_Ypy `rbӤlJΰUgjz!rh5Lk+*GnP؅ڙ oGdȮ$Sp*+or6?Z@KG[8b]$NK{9Iٙ:EW6Wه.'o(-!Ali>ĝY2V֝6v 鉻rfWbhkkI;b\|]I5b*6! >1XIgu+-?p nUz;h иT5Q_#荁8Jd;ߗ: ]סqya}}5vhdzLYMFK8  G`D@4Qvo80mQ /Nђ-Zr k ia|*A"jU-j_W֕ٸ ١ֺw Lʇl8lAe 3qxPjv!\T>ĞX.awmmie\RДQJGdrr"K}6I:0g=cYM|*/πPaV4SNwkvȮϛ>C> /_Mu`+"˛U8\38 b'VUi1L?4)-Bpyڟ5g<1wN..Z^p-e #CP| hoi6L^;TUxjO-XOa]U&bҰ6gJ!G9>$"I&; Mื7\0U6B4=l7/'P; yyZbrڽ4IFRlX Q;n?7zS^ ZsTNW]dž|q}?e?韝ހǥ9}=(SbOP[nUFK?8r<,g?f"Q~-1:z=8.R>n6 ^jtL i-r^ Bٕ֕?DDd63JWIf7e_k8WRwESo.~n="FL`Ar)= nHv'N \A9 tI<~CS#}Gipg$=<鳿sx)!7ȃyZw&7H?}UETjGs_ҿ賄f2$RCipuWYOP<"RŒsF7>,c[S3LC=[%/92K+~%bUo]<$yT12C|WG'Xe a_;ǔauVݪc|I-F:A;hIdo7`nJ1min~n? 71 Ց^/(b6B}ώ]G*цŇ4+aPIm y 6`˞m튗 ﳙ6#1U2jlǛ{4P%%^Va Z,9ӣ(LiVM ڞ?ȥ(LYjBdY?T_82L#TZ16)P=w֦ &ib6세_^CZ ʸOP5%_d|7[.Cdn{hGyR%\`9qijv*qä^"1nz 1Gz'sT]J)zy&o gc^E3:AiJ$,6c:˱J7LˮV^f&‚3yH:4*_0̹^o4 _2'  %-D*zwdj&D(Wb 9*]w^RVy9=[?[ c)N YrZgC!1lt31^{u/;t{ 7Hd;;'. DڀqfL9 )ﮌeeڔQYĚŅW^x}#ٜÔ5vԴj^'r,:%J$cT\M|aM};;n[v3E H/;t]"0ekۣ_q}Hvh`r<B"SVC~ei^glHcB>4zƿgYLq[)޽< ӷ͈B+s2 8jO2K .+Ek?W:mw> e=EZְҞXrX, ;n""Rag; Fm’,|d&f 4ԋ4Uͤ]uecvкXo?lB@K^aBٯ*bYhytd^ވ2]Guv.Qk) )<ʋZ3ٛǍک>c"w4 ~yEXԨxsXIT,aሮHZk$!,cܶ%nHZs汈#R_Ei_Up#U2Dp/D8VLEȳ2$w `X F_F.:ec7Tw)(+o&&{# txVK x ^IX]LjfXfKXJ@R%l%T< -)b8LFqW"BH(?E's&Tx\> X#B{;$ɉk]4?#݇kwJ Y{O\"rgWr28K+]; ޫArlFi_1EuHO6_3#+ED NUoO?E=AjiO_b$|2lo2.'ZħOs sh6N|T?s岼>%PGO twZ* /a,|MS%[[P9zk αTwUJDfufu:x{P쾤CeiEy5NaئŪF@ ʼی\Uc{p Ίe\"{camM5mM-2hb`ףe [鎓l %Cyen:$=iK#T tWsܹ &/X+ղBZߜ3c$R3OuHb $bşә1Vxĩc4oHtoNz 1آU@#N_!v2iyzAX4|f pz4ZjY2X%Q&̑j8>iPj BF"]Ѷ 3+n)Rgt|lvcfQJJR :ObIz1eL<8s}Z/ҞK:BN/ 좕(d <{)jBťw|j6LE{b|[j+̴!E1Z7?'Fi xCow**ChiKWWvx1%o8_"65}5i~ ipv\$CsRCg%r\"L}奨3(ŪFВQV#YH5tM$7NT1H}UNCawJl#J~pnM\v~r9eA _bd/1eSMa$5^p'Q"sz|ˉUn͋ @mhT4B>2ah58 Lxz;$0vװލ̜"_71]2M &}pf`]9&yqe91mҼfZ:|$~PZ(gg;v0'(Vga.9}w*Xb1늊yVL'&;—X`; gmN0G3A)r~\8*qd 1Zfm kmLJ>O-V0^h<9$z7]s+\ QPFPû3ӎKQ}g\ClVZJiLvJ̠^~SוZ{586֏>x$g‡vFdf]tz-4JsT1Dr;0҈HNlm@`TLg aqWUMJ,Xƿ݉Uǔ\EywK, 9Y~2cdN! 9`F=ObRr`0+V 2 9tM_2#<S;XAU-({5o[ pꈣBv{{5rou|{ajDkSS}BMvsSfSsk)@- /IgFtv @Y̒ZIU/+X " &)ÒT/GRңHp evQӭ dPPy`hIIp㈗9ᰐڜ"ɰvL>.oz.ZZ)M)%ǵ.T%f~S9uveOY3~P0+g#6;v< c1Y%8 ()o>v;"Gk~kIg ^['u[2}'sPgTr_B1Yt⿇0_TK%9QRDVE^*DsL?~雂_0P㔄A7ǛȠ%[ˏD(8X0|x[sY*OSzӨxaZȯs.h'SRuLaP@-c >1*p~Cn s{c="&2ݔhDZHꩇ+iT[\%X$( UB9 P;UňĢ \ 1s K»[46f9@,f~fY 'j5ZxcxoWL?F?fMq2FD8촗jȮ;%]bjR/djdV1p9w|LTVLJ{pǐ*]QD`I_>i[Wb@nh׀,*jTwK<bo=#qC tem-j 1Ѐth5㘢K;Z`C@o8Q1HQE-.f!Bt+0p]o/WI;Nը:[ 2gzy]f/ lȥUޓj65 \.*?72O+h\YjjhxxפIs ޞz ^/c#Iz^mj }-TAubGa$0n%@H hxW-lS{ p%̴;ߘݎ]&toYPx)Q5ܚZ& Y5-u l aRj >XY[Ze ^F+登y5-ĶEHL|ia5]-'-B1Lߩhvա4 ]Po/X b(@o(Q܆k(rx˸`7J!1'_ -fxxuϧT#o蒀79M"Jlh ?t!0 '0SImhw}VO.=XW G'7^iop o~ߜO˥\DQOxSO:dCu8_;3 /(OF؁,X-Kf0G4n{F PfnGD{V6s1(z.8/`6W"Xk"eV5f.hOI hFt-x5DVD=qfj,9)[Z cU)R!anpb1g&թfEXx!`~lj}>RVn?l- c'c^~l:jU \ If}RΈ%[AHFh#m`'Tq"` (KE6orf^t!4eʝ ͵`(GKAmad+ $?B󔑥(čd-D] oѺLr^ ބ >nh33 @9v8eJ I~:8~]QP8P֋|^08+xs.s@&'| sHv:l PY(U}ozm8Vf)rMCKk2)<`_>6g4wo1B K G-g`3dtFhi{]^ѻgX!c^Li|{h 4:c?AW_;=(~fNY؍w0!%cW`0, @F>]j&rVLNMP0=7@Dpk B~; Q ,W+'hU88`36ҾTs]P4Ͷģ@Lj)+ү^H`G07[2]p0}@A:^9lQ0 qou K14mSv2;=^DvH%M^~ƥz|nRZ-1 $V8z%5_ӊ6lHe9Kb>"W픣Ҝk$be5P Le`(~s2 @2wJ0 R޲&8F3\t0Ϸ{ĴcL7!a\|MXn ?-]ʣ#/XKFsrʎ-_ktx>=fX>p; 5Gɋ`O O޷Y`w.% X 8{{GTskvFUrm.ÄCe -FgEfI/1.0qkx0KXw~?/RNضHN/ޔ#dlC΍-; ʗWiZx!N3k܉YYseLWO|)Lmv ]ޣDי1iV wm@qDD@O|@^:S#Uܘ5u'yQ75GQ/ E}+H8=0<@DS2˶v6PF -Nk2Cئ 5]id|Rؐbe@H@d%6Xk S?#?,^8$ NсwOi  g4K`tncX ;Ga NJվU^)[4/.BioVXezNL8!1x۪nW]5͝J/U_9f\F߫Y[i8'w{f{qWξVr܎Ig1Q6Y'/pવckj:C:oe2O>ҥ]`xP\WB<k.H3r|-ƇwKt=Ra~v\x2pj'.9e ?f+NeSN`{V{ w`c~P@ `p=vSz R;2Y;bQt1 ]ݿWuk eyW' 2;?1e3}ٮuǖ^茀}V`ua2;D/u,Yc̤j0} rDZ:ڿVK§@*5k)lAC[Xs>|;J+\̫Ơz~b5Emn`U@5 ?Em;}:EbjV(rQ !zfO9(jj7%!P@x3+`֠r#MIDt]\ȇpzL 8j[ӇK_R<߆Ρ3W0n6jDfIR~5-$y1ԻxE v)=oů_==t%LnC23Z,h-WcRxІTɬ%0@;K,ٮ6L7&˰~'3ɇ3>p_>Z ۝xb`_{>V` $ N !@:$fϪ ֞lCS.9FޟN7 Sy~ `~lVxbC;+E֋RvNUz;\_ѫ㻸eWCӰ1pՊ[$vpo+s{v1G= /dqN e1.Tpt*WkE=k;ak|.>Q}K{y}RS,+;8Y\?3:~\h.ijt0bT~ j[I-MN" # I9uO[)ICT#<[syǝ #ðx~r0މqxලD+"ϖ>tG*e{:t@1S.TVݞꀜ'Zv J}v4Ew"8s)!35\yՔT_]7E]]kF~(%9<9m5XȈ6m>\Y0ލAdd*#tDOC?VCQ%ylSqJq%+3gg{:;~4vbϿinGi(yʷ^7]@~^L fYbp4L}?C῔˸pKhCb}$0Uϯ)/]V: @ĠemP-(P&\fJBr0Z`^Kg- x>K[]{)SRf$F88,̤ع/GZqm}m:[Hևa-A֟vr hWyDΗ7AUؾu%cc(~ieS꾟-?&sLDG&sgw91MMAwCW=Іf?TqnWE~:3T|0ШOC*DeeDXv8^|2ds,mCotf4_y|/׍JX29 IA.Qoy#@b@79)@%iWҩ#[S~u)[3k׺׎ 0q-92h-Y0Qc> 6;.e5#3:]_~ %Ϧ7&a*KNbQtpʪ貲X)QFc3|_?.Ӕ>Tn,tulF^U s6ǡr 0ߝPH fdr߅>^{TB5ۺ_4p O喃2o 0X"iaZS#yEPco+ aScΕ'kz-x~+9% j|VM qOΠ%5;N<ϟ?(n"s61=k GşL5\)rP= i[Ls1%u[pq3ym(#|5f112)\X=ڭd7ණy+'ms9Ar3+zopg4o<^YO/e$?B1͗ɛJRI:p &%z9FzO Qׯb)cIsqupWfPM.Vu]~Kdd߶ji|,2֒ɞ"fF,Cӵ ZnНpsc⦆)JN9xRŁO>~umaG\l~iyD[:vB cᘾk[?oZm,v? WeMKo{JyJ6.EHc Aۮ4o,ƻ]?c5uS[娭+ ty`mDؕXːsEEw򁋎>X3DtHb96M#iSAm9Q.:;q|?D^fEw`^wcHu-ą:i8ź ĸc.pWϣh p.")dX\t0d8~|72k}]?Ed2E& @˒laxfY`s6ST0tv2],ga.^MR,܉ȿ7EJ!(?~B\;9bo>?6\aWG>g`ho4 {0E,^ m`3ߣ{ٰ*$ƛGDXl%d|ߎ&Gݥxxaq og|WŮxv-Y @tfzGsiOW @XǾ9!{"ұY73T}I8;Ly?K4| Q-"\}nyE>9xql|%eGxy>Y] Ewmsx=i+4\};]ϝW$% p?ܑ-kOq=1ِgN+qGCIc5B{?U몹 ">/zL5^:h{-wĝ.o^Zcp!>EI/l85UB9%YU2\U KZ*S2]$_VNsy"g3t[h< ,dp=Tra#_O̘\6Dc<hsZ<-+3U,Z3˧)eCḞ6 t{JVia@3N pBv%I*13<, -/r#K߲'bQ98+?lid á\+Hν:a՟)Hq3;(NW?JBc]Ħء["cZj Ny#b([vjc9')l'0a09P,ɴRYiU8|͗<sX)4Li 4_ڳr>4 ɜ9~T[6$ ͏f`t]Md'-;y"GL᧪=/蟟@W3fb9/o>JXxǼ]C^PBNgEӒu[Xy)vv,La~ޠF mUwv ˅{#AX?rǐM6;)Όgx,Iw{16olB ҟOC5o f4ٻ$qzq{vݧ%&Yk(Lpdv>} Mbe$dp"u1X1<*.fSvZ*wbbɳoE*r"݀L@zsd ܶycy,lpفYADyB)X9=_鰜գ3%Smt\3Ý!d(0bPuS|SG`Š%q3gQm=%ɗ3F:L$Lq3cmvˮs%{?T(bm}уF2S &;(Z,@ꎚmGdđܺ vV_ƌWl%xbnQR|糹oHL%_f_62ܺ]&݌ `5֡H QE}jyNsA(#'o̅0.4nE=m-Ycol&ZW_3U&m3qΟbz4Nj_ro3{~O2Z'Xq;d-pp[x* dt- b5GcJ7_#o%mXF4R/7tꭘCO; o /xwiMz4& \b#{QD`θߎˆG4(5v~%Lf=vV]Τ.g}fΓ#rJ߄2RHܗw)pBβ0OK1Tr^E9`jJLUJzkEB, .YMmVYTm cS_1LO̚{pT̋OY0Ҭfs Oy/:#8 =>d,R)3>tMaoq]VR;-<bs"L}M$ʜ.puyT)7jyvpkR1Gz0nfQ6ڑ/! *flU8J_qůet:;:_'4E`aΩ}3s%|(?"[j YՂBBEԔRrt`ch}q 9S/)yOtI#ӶmO;lcR`ERb ,U47Wϩ3E7C\nsCGV@P`oN`h9C<:_y:=qs|H̕,gm bK1s1g_N\WtV`o+Jˉ3nɚ̖ $=JBS*teOy{8a"8U& ԹIJ_I=wh}2MϯTX}p?8"&n0Ro99Z_&s=țqn,y9X Ě;,^pz0$EL!YFc8I9_x5Ι^Xwt;߲8xpSᮧ*M쳷cS'l8^y:g}j! w65pd9GaGFҙPBaԙWǚ{MQ{.Y>7 =Ha #1knkH[xZj&Vwǭ].V?#kq,F(k.獖t.f0SLTxk/ʖӎd;ww&mSp[h2G[K4hhDqv$ncse8uŖLO'Ji=qG{M|zv#W$9;72m}\9"տɻe"GGRs!,_ Y_AFI|8 S<^a?zs\rw13F`g>O/6o9/<`GzATo-E <){ k\ .?迢ːᑖc`C^uK E(s(cf)lMΐAmS#:g |mޣ,jc'8a]ₐޘ,q1gl_lQP#н8>Fa + g7By%rk}7cob g1S*%:쥢#q8c(v*9B)pc8 .vj2W,^0X"3ܧlLʊZ?r8X/of=ףS+ y4&lQo["Wg+᐀JH /ݷ{z' ; Fx5DΦ Vk"nL9 m )mP8xuI4pNV_6( JfuJ64{s<GKQp\(oW"HCKLsFWSzAF6/6Bs5Eߜuަlu8®k Ϥeg'vYZ0N0SD?{o˚gzZn+e)RO ~JS2Wsc^uOo˟, 3)6?]Rhwdf@5°}4w@I# 6vo=H޼L&8 τx.8lK9֋x0c#:E"{Ϭx S-&;s\!(0ٚ}Bjܝ)O <]NEҹQ ?98'˪z?/YJCXyǂOV Gq|1p3'>#μF\ްG9>R T-0vcnC9pxėb:(" K!>9I`)o)f{&Bjez>n?XrC9$LY =)3[ .0ʒq,Mk]LhOVhS9lXSDt Ka*d3C"`Zu[q" nwۄ)=&Dא+D)_}G7Ξ>oe% |ٓT–L#!)_t^ yy&=\QJ̒^|Fasf% q>y$ńTIpbHK6"on w,e#bgGc#v4ϼKFB`3rǾ` hę1ϑ7=Uه+O"myi&uhKl*0-gS׼Ncx7 # 9LM<Js^J(DNA}:;\>æ&I-B=lǬY! Bf\VjY#͗HO: bpZǬ~btvE0Et_FgZb,L]|GX||󊥿{!mHYe7 aTK BdJe#9_/A?qy6F? 6 ԏ=<(ؓ_!vnOpK2B!c ~N)z=gc'FOa(~w;P]FM6WrP5zCފC: ēcP3̬zcG,l  KiHQ mV k 9'2E"HǸgZtscs`s@]܈ʮOGqnޒi L\A<&Lq811dWciq>)Z3T I/qQ5k7;'0詋-AiO q-rw c1;]xFO!Y-cY܀, M#42ɼ1xH< f3# LdE& q"ۅsXvn$ ]B ql92fR;Dg ~9f%/Pl\F'dbJBf¸Mw L*E0@b{z,#~w$*\0qzkЦ(fi _Z}=~Y7'd2 maV4tEr^aG"*r挝^8+?]IM20zX8Xy dMNEކs4YbZ$ǁdb"vt̖17f:O[bʃ$f< DSdlq y'&2:r02F < ip [aL]|r7GT͏; x!<[&1G Pw`WGuKgTd<#A7wͱ-dml=p"Nv*i* 4e:umP'pߔ+Gh]k&ti-8Bڏ+f g0n-ظ0K.DQ\&IÌI{)K1xx6ɹ7GY"Hd?XBx e4cXY1"WfFܔ&<7Mݭ%O(o8 dQ)3xKŝq斣/Lwy46j1 1 QJ{B('(uȘ4v0Da" jIp AW>ǸZr y7qS c21<}=82srcMiw>M*pSN O\Oh͐P_Ci Yu:'RH;-TX# P)6Q SǍn0DI X_ >EБ<]\,@B>ʲe#uE|iH|OC5ĝcB=h8e`51k9.f G?$KI}\ e}ItCH9# C &1GWƗn۩/|2Lfh}ٲ9$1x CX~py#j*=wZ|8GSsN^~L4L~<2\ g(E^_JAk|/=egbdCq.='b>g!10.]xF\]:f w#_/@l"Oz=+)7;HQc<pa*L~OZyN^'MilIr{zgď:nr8AD1&%y '`#Y>&5܍.1kWq~0嬽K(N@þoq&r1=qԖc.daʓ7\}K9ꌆjC|OaESv`y) 6Ṁ$ j:?#xAhm\茇1\?D7搽dM|)Od'.&\凣x:`v `։4M眞36Q7G0 G ɞOSZXU/X%%LQD-a_2TJ6 .pd.IA~23)D8r4nbgH9"?[& #~I5"]*Ydt́)7$+.dr'1[-if=csAz" ZÈbr8 `p';)d1頴`rj,DH:CG,E]"ʊ|+N+Hna9%~nrNW Ǽxq7fn9AK!t)d X:%aH,,:V.j#p*% V02F bD6%g!r/F-#H{EzK"o(IJ` ;5Rc0ErpbO"1n3:sv,_tÌi81DH{ȂIn8ƈ>N]s1 }`dG2=2878(vu4l-вsO!*ޘ2ix1a'rG,=hʲ)Ήrv3GXUm?B #jqܞd4b g^<Pg ~AteC> tdʜ!d IM, 1 gOl )>`2Ǥ,ĩ5s뛱d=l֒H6O L @rC;$7lN 3U3y<.LPf j +ѧ%H%B);d j.EȕxG 4}LQ$N24u5YF+vs4SD0C?(Cb`_& k , S6pI4g 8#Y~) Xc"r!̡(-D7EaNٛ ᐚ Vy!Xta0E9Dc, /HSa<3Bb_caӔwx984,A7ǔbr1z,J]NrJ7染c,Ә<cYSddp9 y& pNa4GYSnLP.Ŏʔ'h4dz2G#y'5,n-5$Aw QC)S~Cy?Փ9K`O."!7P&80ș"!3pR@ܓKjݜ|:;(BH㻘2P_r lKQl=9.]Q#"̖H&%GJQq$ەaJc)X3qOذ9 B"dN z5N`ǸhW9$5BC)lOq 4c`-C4y QJ{85>q=#Ɋ/ $g A#1o2F-XԖGW$q DVCRѠ!3Ÿ\Ùp'ܳgm69mEii6b< eq35 XY yό) ŁTFr͛DZI}T1S)FB, ሌ0e`- +QT$Y.ahǐ J9FYw_8_i/欿"Q&R ]#xEZ9,NadHtCH83d!,B8F$ʘ#+1\sg3&x@ K>B@diA^G~wJCZ.b rhY-%C[ >\isa#LW< \V G(<JYw?Eo;Ey>t]?̑7 ;B5) aIzK?gĐRqI⠛)1\4g@SS2ȸcSD~MY!c{͡ m|˞ 'DsHZ 9'M>#sWr/Cox)^yϡ`N.2 ‘DMsn*m?$pr3XlJ;S  i 1.ōFд2d^7f6 6d#R?tjFS\lh4 7Al1>|=hBd:,=x8l3Ƭrg"LYLxLx3)e1?( {5Fi{93g,7-/8BbMI>aI0< ˆyFⴾ D 5aLi.11(.L$\|(Ŝ1@Ρm+c5e?%Z-%̇ {?z2琞2N.I|)HBLfs8X3CTʘbľ0|8%!02; yV9ɒ.v0XE|*B8fCobmTS#z-D>(z#Fs^Np( i!<ӈN3a3 E%+ly$nGQ6 \pP:sȮ*03@^JxՎ\o x"C2DI2uFkX͑9CqTm "ipsap342R <2B蛃wϡ4*GAl]>欬' halxOgE`4~@͐GxBNc*g`)hHy7yOi4&aɁ6gld1h,^5ږ8T=P4dxh1d5$bKqHo2Ĩib0娶`#3 @pLxa3L)Pn/!= \/f6'ą76ey y :en)˩d2G]>dh)L"t/Gh.g07)h3q A@B=Ga)#graKa>%! qv8f\j3:"dHߚ#(5\:et#2 cPktL|AcȢm37ZT[ +rT"Y-F,}.#i<VW | p4}hY 7c8%-CY>*) Ց#Řct "g0pH;' *p¬5f`T(JGa$ inmOTrqgܪ- n?Fpۋ/{i4|㟂f"*#DD <ǨY" C\$.42v-e)'3Hfae>1+DSeKQr; xȡU8Ljj CX=F@ߝdo0dRi"uN3k!xzƃvhR/HD̡>(.BrOxLZaK""y#^o̠o{-'p}5,Z,N{/$Y )%łh41pKlxàM(g`4DŽ Ec\BL d) Hn4<Ҭܗ : s!àXԡ6 1ӲTGh1!0=ɀ% -GҝbƜCoL9NeN ` AӴuLqb6Po9$rL)'F3: tX%HUQxd?S3/ I9|1Gb? O90Dcj$B]?.BWRȻ!`r&B%(Z C:%"cfs?e'q8>} HfL NQ4$ @C\j8x>r13f7EgFD$E?y d-F$V! * Y;[K8g2oI% Bu \kˡ>Lnh6HCCe)6k'(Eԟ.42ؾ66wpfyx1Fg,k"9{!eQ3: +K|JaO R-hwO9y#ʒcI!> c/0[Ȟ#1Ѥchtٿ47'47 <[ { h1}H|LZ6b(7SICdI&IS#|5af4\c^]H?ɣc Dq u5b*` *=#:c q#b@Ҽ:s^{͑g4Cy;!٨ *q,ztsOٔ:da9,0b$ s0qObxIj2Ŵ]GY;( C;e3~B м EfqMѧ?6 ]?)ϑ#aI #p0-c!yŒΝsx,KFA ?cA|>fAfN, zоrFܕa7d #1^xNyMy#V=m%K?G"XCi*c A;'3oc^6."Dӝysk )sD2ȴat/GLRh!MBrRɚ>ٯ#Ki,.BPj*Z"0 GqM #Op]Ni3e X ) 6沈~#Du?b0FҖcr_XhJ1Ba#ʲg;ܨ3p#.oFs<~ȓx|Jr|x3%!1&$-D1o j0fN jF#.) X_pN11 :jI/lv&)z's}Ò79ޒhO!г AcF] xfN` NN=Y4T${3@Fe9F}")c}qcBNxUAeΙ4GPˉ((-B)(ȡF3G\ 0Q|+,el,-i>IҴ!$a sK9p"( 7ƈ8nc:D\q(r:㒇P FR; A2^ #$y4ƴR|C>4in g#A8l);ǰX7,BDǔ2dCѰ!c:xw,G2?ưyCAɛ3Xe8%=`Ʋ[)&KJmOPv!;fp5e:q ك>#>!!lQpLj?StcXly`ISwMHY[>ñk-&83aP* 8fAN.%R'OJbzEFS`Jq"UYv6Ci4V!} 4@C.[8y:<'\-d0M2$ًw iLyxҋC:cFAA5?Ù2a>CPb?EA$\k8>#o5<=t?43 甛/< y$6fLe<땇Ծe1LS8683Ydi8fq`͔I$8MlxMIO=Bemȣ^x<}9>m2I,[MaNAHMҘ,יaП7r0G@I3dUQ.3PW9$Xz0_!+bdcRs8U&UR\ !#Li#D&BW0g`Oi({k!;C(jN!1( 'HsqNiC?3`qHb><8]:E6F^2E0e@|z,N1B8;OSYI2< o 2 j>EԨ0g95#GRUY;1+ΰbv p@Seb9֟ly;#84s~) {l:`n HEĖ@򛒘u>9b* 4z13h<8Bq%FU |@wL!iÊp 'Q/D9,,a z8€'îU%) pq' ] ^dHpN{6#<@t ;[# JG2 4Gr}, 31G#e|{EZO0~=F(AXQ!jtޘHĘX+JBPo>怑y>,a▒ft tq az7т>F\$3gƛ!2~hEDR@5G4䜱@EĠְd!&$ Y)K0 gݘ!|]?D1# 73Fg>YX"sIH pP9'PrJy HB¬6c^u&ey2&㑇f#KJ E b.CaLA`?"sQȬ5G$Eh}9%i!v9BN g"3lK U",w*U".ː(|NFxV򰶒ƀ\>= Oy=BbCCH EIxY<=by!mFREj G8f=i u FLf}5iGF#wBwI<ő1-LRdsS([Fr3#2xP.)2'-"=h4, <rT3_^vURtrSHDL"774¨KBdO) Kæ.cjRff;?Dij/e y fh ^d!d'MhS3[0F}' )+"R"O.L)1?# JAP%h83Us*TDE[2; }8乛>4Y 'HYq0:&X~iDiKHLb +,љ'C|0GP'ˡ&` P)ؼ`f AV(r8?]Mr/'$`I|) ǐ<,1ّAg1åș6| BXi7gS~q{ iJqde-%sNjGÔLvy&pc (x2Tax;'GqPݗmk3\_Iux Y: d&ɓ|ɲR$y1o [#dK0_83>rcT4s(&0ʢ ˜W2m1ܞO+p$9.V90d5Y$K vrbMe0hA-'PӒ[ F g(ޟBl:q_Y侜blLE gKs"K9GnD{Sf2sɡ JcTǀ GSz2f<2pCITB$A8a2,~6`i).(۟#V1:p|(;RxvfT`*Di( _A>ʟz H\IS6#?\=VLQfWzSKè bFB01g>/C0\i')b~ X6/ !Xw S3vcHјA!7BcSQi6 ܌ܤ͉*S.?爨;l4O:* ft0+[-Ea,G2Ğs` jZa6=4q/$q6%8`!50Iq97,F#v =9U0S1zLx4TjˑpћLSD`ޏo͐}Bb$2u2P%S2BFSz`R/ⴀq/d3).^_x@ha<A z# {bw% 8y71)DܹPF~o ^ ?x2$ĹM4礂8(Ѥ*)=qV[i#x+S0āCS4sLL͚"Q4bZ|8f,Y0ǴbQ7g?gxfX#o?ľcyHfcCGMQ^,&1`ÞSX0d0=$"H=#ysNYm7bJpЮFDh EPɑ2 `/ R _GpK[ɥ A/I&E}>!9! CqHtfJX65l, x;N.cV4c<<3j JRyQpsDgH@t7`CyѨ&ipLGSȎi n1, &HEx320#b~#&ג)$J9̋!Ix/܈r%DݝN!ⶹP2FD`B2%`fXbIX GShI4j4f8OT}D h1!9|5Пs8Ηʜȝu٭Z/i:\LZK!S˙;&,Fd#2:R~Rm`SZ*Y<$8g,suWKFXߧȽ1^83Vq5`Nʘy L)܌:ip5G83Sh Kw qf_!,iV Q#gdx}X)KpIB]r.e$`2CB`L1G2SHDpO9*@%R\cp{Iu O7DMq.fž%yx!n"ˆUϑ*nO!<U}+^-d\F4\e,E`:m35#%:c$ @yN+tSPcStaM<bQ9& * a4D9.cmq&#DzH e0i4ƀxH#1<(ĢbIa/T᧐a1GnZXM 4>p]w+b s1 t[>ied>Ft2a r DbbLZZV`KQ+4b1Ҭ|vm[#Qw 8UM]d|nI8sm DҙC." fL()F=$RvK>*EP<0K6r΁=EiOm~ }?(@+qHܙ/}qFA'6t** uHC i(츝%e&%XcQ9N26bzȱc cgIAЫ32rxRO deu2i#pQbpfOO>8y I2fhy'A-&EhUHO9&ǜxI '!;eoG"Y89l.r >*|(eh6KD(6yN}5.n@̫Id!̢IRt|WN6l52#SD4&H-h?hNi,J~:v6ɏ,8"Xd:wp?z.Nq2ZobOc6T(љG,/I&gtd8 z6Yq4h:%ܼ'$#O1ͧ٢g<i'Α*Hb0ԕ-t?C8bsxPMZuӊPQ4HR;2A2>:ŁY>e`!9I5DGm?3X&#x R ę:?%JGI9 )ԁK53by"IXD*8+ ^ O#}c=%$0mX (`'B8p&dy06$xhҌ$Mn ^Qr' R7uS1 F,ޞҾ\ԨrJB3n!Rؔ{a? 7$YvL`j-AkZ "d =e I'"cTr/FdN%VT%JZ2 _ב6*kDk`.Q 9#SIJvN`ȃnD5X$q+!RW4'aY8 ,Y%ė=[L`صt}p_cyϙJVC0FbPq,eWĈ(&mԈ2zA>nGMxJG+h Xq|WR:G#*#Fb¯d:a@/%RLc~[ I2 qOt ^q\4:eh: ;+ь"5Zf5?,Jʤ֜EP*ᨚq;ZW2*Q CїW9ɥ]⪾g%jyY"f*uuh;d|e#P`&#ʊRQz߯!#U`M[ #mT~acƓƜP,+ VRL,G9)Vt^ARf[0WOZh]\Z:ؕb<ג1Q+&yY\#j* N#n %̫Y MSjVJx+'!Xi['fO(3&,JB\F| LLgWQ]p2}?BXvNBUcbWl pq0Zu4kP :M =s0uc!h[1Է\r껣zb6jۧpY#|T*XWSk@t9,5$qYQsPKإ 7GTt*^IS%LV5YEXEz9fh3iI 7/caQPJٛ%]5vLy2)EB/|TcUSEGMIVUCpf5^lpM8#HMR, 0O%:#0vz E-}j/WzUsz%YpuQ&AWֵ"\ s<&8FVْJAbzŜÞF?92XY4|v\i|:Y@Hタj@hqZUXQ㱫"M*W;fEK:âh;+mSqSe5h:-gwm?6yv}-}T=c;w͔ΫQ6Vs s4➖hN׭,1(;lW-jmڟ8W Ճ5``u\)`[qRVU/%q 8i*ZiȶF`!l)Mul?[X>m0kW]U6D,A/JYLr12+^ΦF*N6|Ů[)npLvZe[k#L[m3hzVd_ NTgL+9^W~֥5'r]%" J]d>j*vR ]n 8R M4TXXElUS|'sc8ab}#غG&fm@ʤpלBh c?cP9O)?wɟ3m|nܹ/O< q(Zs98VboZ .7jE45\eAVQ9JgM0/^=a.FNҽV-.L۶V9oO\Ɯl~mLu7*OQj]:<<'jǾ[Qfg"E:JZ:9ˆI6*-Q|Z"YUeOK4=eO}XUƮZmra\EQ$.Jƚ\EY#A+fU+㝳Y:jbMrt~w/4y9Y9oO睻?n`}|w}z?hʳm ״c,Pmڻll[Sf~7=b,Z~Ǣp=|4L!{WVj=#{WJ֞[>h;>1'`kܘry=cp?;vw%Yϵw]t y3\ܴNZ8t}iUԾ;\n u<9G{nZ:W"YH~'LZڎ4Be;$NNҺp8k`+@kώk-ğ?Ɏs uiOfޙPoEJk|}B\9܂O]aL)t/"ծuRt{rn۶n)?zḿ:7w81E;K>ྛY~rqgqoވȝsZ|&9NZ:8z;5W:>i͡6hOt_8_ȻnỖ19(3Os{vLrτus<;wk-MʿNjlڛ}0_gޘ5GqO|z3H.4`Gin}p onʹWu rUu ZUMT^* ~وnϮ տ~B؛=v1.\4LmSѶ+-71AmOٝ?yuA {൷oO^+}'xٯ7F ͻG7!l_ wb-?+k'~y ZOVwGw-y}Sj-u o~v %qOCP_B]sWr; ZVmh֜(Ռ5{n쮒,: Wx\8 .U^Ia%qNX+KgUzS*'u_k㶧x7de܃=kM~]w|ʵG"|ֈ}ۿc? l{&شG~Y܃;Wn9_}Vr{Կpvcչ^4<_a޵]wl;Wv-57D[#y3O{46Ƥ2jku-:z|'~'*ߕ򞝹Zw[8[3F}g,۾+[}ڻ9Ǚyf3\C8 Y<tߥȰol\:dm9swDU?+ywV[tOnM5^woj-Ҵ7z^;gCw|92s{|yn]_եٮ7<ߌګJpmmXsɹ`IbwDyGgB=K|{'nݷ>3NiOU㴷X{zq*-Ky}yw8XWr-uyڴ|ߟ;nv[=Q2n ǻ7|zG %5lb]{x1?pv/Lk8tYc4x_Uk6|/ ;DŽa?+uy]=jz7.\ 3u?#;&Ԟ;{gj矍ϽӻuD4Ǒl.]+[iiMδfMl1߽Vwu==3tu}wٴwu-KM9soH\5wr {~ykZyywk:L^mv^u5MW_ߡ7v,;Jzn/)lUqnO پ{sm:l3Goo[ӟ>KtMUxyN ȶ7dᦽKV_97u/ E<[x(^0^{;]7`9ԿSzRF'~/[K>oiM휋Eq%>ys6נ~t^rNݺָߞQʵ'~\~tܿ+o U=y{+A{N-в~hSzkO3<2M=3pnQ=wO tz_\c?;}s/~=38|N8Ty#fvt=ȽiI׿3zGvrל;6k(_ طG}jο4RY=CZm^zZk<mn9<7DYq`ި<;ȷg˹7j[Q.mqn{K0nW~_mŸ׈[ <7|vBIyפkݛkͿGsON16wot͑^!8ײvY_4F^=;rNcrQi]۰q/][xMͥ<oE^^]¶k}՟-8׾SoO{=Xz_^3z5O8ݝ dn>i!_:7mQG^/r_!8[YyL^3~Wy]^ݶ}l<uT}}jz5>sw/`\ݛ'\cer13kxm6홚sh{^`ƽ;OoM<=ӟnoz^5V]c?dhN;7Z쟭vϟ9?vL_ ?sLv|yƞ[+|g \Czg.E9`. CͽȼtnM:tt]>=6HלP9&Yi _\#=~/&q<~:NԾ?߷הḱt 14{_<;7?Ƕmѿ:wyy^;l´7zVsd5/$3MjO-1k[rop.F3V{DZrmh=K}ݳvWt@RmT~p$7 ynϞYl/Bt^8zwt[Yu.%5pXܣ~fq^׿#XkLC8F/_ɲ>KnMeȻf rjߴWt>|w.m;'n8ϖFn`՞k?~gl ƴw{xaPϬϦ^>ؿs'm5 6mIӚCnt9d尵G-)h.>xᶧv EʸT\jz0ͱ򞹥7Wfh\]z׭r/auӷ&N"8:㞁7e9Gh5qE[K3>[{7mO+>k44m[dmoD^]=wn/OR >[|l\i8PI#˴l E4~Ơ87vO_$v[]lq^i97gak>#ܴ׆?wxxqmдDŴ>k}yɹjD雋WqF]ryWy|s [ж7iD򅙱3hm)7G :j._m?ao`Տ%3dku޵fΉ>sQ{&^[V~y([LHFM{Yv?sٵWyouFOxꜣw/ жr8F3{'li:u9Gx\{9&^顾{VM}aξsNn3Dh8W}LuR9ҷǣzt=]绳o/_m5&΍=;:Wzrs6VI:p快޿ >cgT;ⴷvA~WzO@y {ڋAhyӼzy] m,P ̻F/o~9S4G8W1 ^оÜ}\i ɽsͿa|wo_:gX}#Fh.=^Z?k|gٝ޴w}63}V)zϞ3r-::V^i|G$)2yG]=3q ]>rmظGnmü'Y%^S~'.=wti͕INB^3y^;=wϖd-e_!a?̽cəF囻g-7GxϚW}wOӭlla8#@nMcؿp>py7E=kj:_<uN??[{7Nh;pM>03۹ UþӲsO8rŦ>{5֠7yV_ε>+鿫nO:ꟹ$ݣљֵgl}o =4G}WxN]}oOhZl\[kuݽnߞ 76Qݾ;5V|=˦'>/*_-^q͙7m/YKyt־{s.mkfrP.h&۟>+ph?qo~)Ϻg._ĝc6m/0q8^ônYѾ;Ἳ>G{jZۙ|(+57oXu-W4/V-!޼su/8,cvn=5G4~NUq[޶wOQXҽ3@w έ;qn{sC}7~gNc'|ܽ4g:OTÏzޝ?c|zh

qںf~~ⴧ:Ͼ/ϛݸj۫s杓'd[Ӥ~mwmrw,_^ؿ5X^&#'yM;v۪z7y}͑8 ͱ9uEӵBN5 .Ƃ3Q5Gv{~tQ˿KhQ<3&d#>s{q-:6/F[Y5{',9&Y;r];W>py֨/_=ڼ3=Q|⿣eiWm-|G}nN 2 ?;W"m}Y__I>ta^ɺ772'O=Z3>g4]h._?!K}=\辛俓> rʿk 윫quMr]v{m-^uokNï|^357poy->km,8x-976 >8wvo0e]Kv/Nc5W|嚛?} _YSE|I:r.9;ڟٙҵW>ϲM[k3}m,IGn[}Z曫sg=K9ג{yڞc&b^+[iu߷3=~w`|j-ˣz";ns#۾cz}k6wORp i[+Ϻƈ¿ctwnm_=4f q{l^?}ToZe8~];FޙCivn=S}۽Hx/6kZjMFsZjGd <SGv/o"ړuhޞVywuO[WhN}׆ߑ_͝>h47kOfٯ9XMY鞙>}&߅Ծ{v-yC4'sN>{wwi6~@qo:S`iC=}}gT,Mܫ?sR,Α7xExo2i3<^I?+?|wzma<6__Bٞ:>So>ٸf/19|Gn!rE4kN3{w{vooFK57xkN_a7o.Z~zW xm3={'}mZP,}6V]c>{>C}j}a乧6vzֈޑ6_U ʾ컗|瞩 t!ָ5& fv;7KNh-]rBW)ՙZ뤼ԙֱhzЪjȪRkpˎ}Gvai=;:f~Pww%= Fo8[B{]~W><`p>sjslpee^Adڜ;6'<՟aLi ㇸ/t^.͡_?ھnoskq/Ψ.M>xo݂/dr}N?cf|}n ]6ڣow͉[]8vjnK͆c:G+\v.}<~HdSնpgVN&lm;m[(t_ڋ|d-X:!Ӿ3Mj8@ x^ sY?CtaӻZ|ygvMD?wNIѿ0^C"_=fs{ݹ`> xkVܴީ7eWOJdb, v;߼wuz}g&P߈-NPZBZ jmq[#G< \omA.AO{y`76L˅#Ou.x:up^0Mޠ2⸇k\p9Lt1W?Q?zcS诸I,^[6v3|Ɔwx{Ǭgx9&D; ~Թ_DU>pt*_%^Bʛ<0T*/J>77ݘ|n=â{5мTun_[yLu}yAT89 0~l{|j77t8` (Zsy oma7wwMu Qx.aK(0 3yQy9蟹*z/PS2A{h;Ҵګ-ۯfNl0PuaV?+u pϧu~l_ja fΆ+P0DK^yA!0W |m[rϴ[8k^j5 4 W\UwS( +ʣmp/% Ч_p(rU0 {U7\l/*&PTuoZ5T[ مq]T묠DQ:!~O BVUYÐkVY`Ja4ɮ :d[.TZ̮ )>mS8ANU#j>UbT" ~V==F&%k\ ;]S9Q!z'y ɆU@,򲆅aD5}RTеpe E ʺ:**AYZ^…;@pÊuyvU0;wrJnA ' h)K 뮚d( AMS]QaC J @#WP:났 Ȇ >]"K׆L-aJ0= rl:0\6aU`/@b,TC\IZ` zQ(!P֧]"aW5 bۅ@=I>aWMT{)I7U%?bC aN PbS !\ |Pd\`̆7U/BUwVWpOB&!BW\Tp/Q=(U ([ B- B+Zu\/(F"®}I tKzii Cu xRau]qW9 Я: w?pb4 I6V蛠cτ5HPCYBU[%L\U`S\7 8L%P@-BҦE240z F?Am [ -3)p> :MiiЇ4 $#9AN*,0a1mk.]pA\8 t. mР(5'0*A8D?7T$s\ Oy4>A bF05#=K*N):N! pk2!v p0SmnBR67l)nRa&@ mHp>am3b Fda``kʅr읐r X=XB5YA< 0/pyA6a] ;Ktˆ6AhLB,.!N<RBPo hAhL!8N< `88O}⊡. ` Q7m YXS0Ex3A6P{2> p)@D/&0 YӐ0 @oê ! A@1 ?z  .AiPΆW x:(X.a@a( `>`%CEwX*` !Z `~{ ([A\7A2 !\ B]@h\Cdr v BX:Xw b%3  u a! pZp\A8 @r2 V TȇA&lrps | 0l&V4 \BUi., a:]>a B:ZoC  g Y ! 6 A&Apz u J4px Г @K'\$Cȇ6: 6TB8HL/ 7:h /TAj y7`s `xj2\̆= Dž`tAK4 $Bl)04! 5 FChp3`Y xP6,B\;0Z̆<1&>P[ p`Ix?@,89H!¦r 8|9e p`xւ~`|,A<$ C: Q5 hGY Ņ4b  xQ')B)Cr煠8OPKR78T@0/!)Bn mC<l 6 *?@p c `\)@| xxC XsQ!(o˜; {ApS8~”<RSZB4 p7(@̥(B`І/HZB(2B8;D@Ph.mlШ^ < CR!Z `yC f.xT' 9An HpdR2@ n CKt2 y @pnC`}@]C^ !.p80;@.<+ 8:0PA5p9+0=;  #`j X3<> P3a:!d aO8cA `DeuƇ/` 3&B@W/ART8AL<xTL+C,%B5PaÊ @8 oL=HgB)=!@ `hB4?!u0 00P\@cL6 cCPZ?0{ RJp1 ߅47"`4(`<'-B|q  "B,,!j t"p?\8`0C 0;sCP\A$-пlt<) `0 ؅RK4)C0T*%ADAh:6 g _* AT[B$Æ?! ED =0r̆`> Xp@< U[/Rp"x`&l/$<s@w8a, ɷ 8k3. 8-|A)È s)Hj3 W 2*=P Z C$oX$m@ sC P7n7!53|2` }B0H)0a" E>A=U}8@+!ly\ (cCR@f@Ь p^ ܕ [C(pXE`Up9$` ^J%`Co FpvBb a `ZC  mJCФ@:tQ{ b#C~P{ނ^ 0+x/`5A,\"3 `a1(b`?@߃xK(cC0J@\` pT\6aOpB7@U jÌ%Lú V0-aK@DnA`68hQ]C*Ap&a ~0{)RD.a=hx@aAL%BCZХ ~˜2AJ~lB< z4  (_Al 00A pP5r"Aaph670hPvC a ;-:h(+;$t."XE0j@  dB(=app8A[ Q)8&t> `Y=Ta 3pP.! P]úú p" /hbX9pIxC8Wxd4!a<X640 poXx(7x7;ar*{ m `mp8qH2chBu >40Q H !nB A'|ZCapc`A o r z!,B 8`C0_D` @C L0k ĕ ʅ`A,=P׆H5a@`Ά4pN0CnPT0a8AP hÖp` 0f0dcRt; PDh{d).AT0=\:a [{ą"L (yˆ6  pqj 8L\+jjC@` |.a (0ZCpzC͂HB;bCd42A,ADX\C4 y }CP :|A >>*a*} {A0(`-!EE-npHfDAW: sWl7! Di Ѓ03hh.-^p2` 0胐Yυ`_d; 7!FXl.1*`Q2G 0'a UB90F8Y8<b 5<7 rt6@ @e!@yP@zE@̆p!0X> `uv$:2B (ht /tp H21 sC-$D}#Џ 6JsA\Lh> `G-0x[@o8-$= \ =a0!Њ #C" }PU Ј $(bB<i@ya´ AOpB!X;.\BD&˂7N43RN(@|B@6 C| A`oA@;P_ p}zr ?xCp  XAdp2/F'CHe co@.A HxV pR-48WmpB @x6r dp.^ C"B$AD2AIx@3=qB(!bpzvD DXi~ s sAp8Aj H}8 x @4 PN"= ``I^0a @{Cak|0@K;aXPj4@ 텤5@S H @dE<g { P<0d rYpZÌa XtIƇ3E @0Mt` 8|X9pPPZ!C{MPgCvP58xp=\ : a( ژ.Pa WH>+|=a hT>)ì>n#d y`'\Ʌ0FJ8| (;N01P; 0NcnTдW,5 @J l6T |-W j3FbPo?PU;C^@ЂRX$@ o;ph-P`1\BG0兴;al Ad S|hpè 0x ! J|a.Kh-A.fXú @!>:y @].Md _C4>D(0!,Al(g­]]]e`, @FaP(q !Xi@6?'B 9i 4(-a h_மm]] C0 %pddA0fJ$Ib8jB =kU Y2! ?.z.Օ3^Cz'*l`^~WCV}]IjT 2aD6e3K_2yVޜ32+;W{H*yxTx*$|HHHT%yut=K,/h]Wyc000N ej<N5|X& ͩ! U8(jSA&04&#QŅG̺t ]gƧ I~|18Ee]rZjZtn.Ojo9S5r77n!(6_ >2a4 --Ka[ v)M:TNGHobƓ}LIB qiq"aљڜx8_qa vUF9]H049dmT4Wy)б7u#&H"A""V6D eGXu48c49Or,[T([/ޖЙˡ9L'p*U!ɛcA8 ;>6:dFt3NM?Ũun7SڶP+ⰶnI&h,n<4S]f%8yպb^XaŃae桃 qtyI<|!$n:@k D ')!YV*瓰*S:E1M6.aju0c¼Hi[6frdR^rt'(" KYKbte-C_=rqb, wx\asꦗr7i}zB|P,#⺙;Oqar&Dჵ6@}~:'}X&vp y7?ixog,.?'`?z (9P2ŸriQQ(PNX&c& %u ɞ㵪-ΜiSZ./nΩ"aaXQ݊8:F6M'xUȐ^).Gp]Aucx&Ɛp,m͍[Мt`k3%  q 5akjXs"+sms6Q#6#,tCGKm VsSf#7NO>R-dg Pf.C,:{"kBrA\$@ 8qpgbҞ͚+/67.Qܙxa.ЎNÙȸ^1oFٔ^&d6}ptj{*5/i.R !\*xM&GXHa,%IX;3' :7Oi`to24\)F~FT0G ti%p 'MdKN^@z]xol|8Yf7H%lխSw~'/?k˫n#ķ9So,KL=VdtN P-NC]^ 3Vr*~dӥq`qM\Rtʷܯ7 AWs#U4 :T\&w|0uQi'5b oUa"~[Ç7ĿIjF|hmGvd4{mځ40pin3/,+hP@ӹ:Y:C8&IYpGIJوH L)v{Gǰ&r#@2`Umah鎜A8OCGvN^HbLuRW{T|2K\Nj[\$>rWaݱ=fJ!dmCHG(Wa9414zxe+d}T̪4 w0»-|ҏ %,"*494,a ^upu_+e ֝#pږJgqTbrȕRbѡ}vJOQy49d"o(QX4DX׊,u12)ي[qgRexn՜~K? wM;y;~!:pDS.G%}!.,귇X 67OCáP'Ffl #E$S3b}8ci=6/;qk )8CWG_1D8jGrp# ij4M͐D Ec2jN+} .zLF'`:&a;v-m\KUq!6An`2A ~CHY2 NI&2L*H6^ _mpgboKNsL+B +E[{V{Ie,Au 3NiFR_)!..t_)eg;!0~@iC7r%DIY<gf_5Y!.O*cJXEW@p$>G 3C9T_WVTv5oB7~NWHp !?$:J+KeBc;?$Y0tM7eXi4R ~ZQOBXȄ# { C>߬dثJ4/ƛPӌ<# fi߻ )WК݈kx͔q5,Mmn\Nfc8srdb Q#7fi zCr!=?igmG˨I>ҷ>P8e Τlch>a14xpux OC'֛[Ŵ{g0{SQxHY{ŐC_V |fMe)`&aŠ.%ofFԲ?j{>zOm̌Ӆe\~TR>鶕 LI. e+w;<ǦgIQVS! f?X.{J;CƸe s >Hi9*C+iĜWsD:}Q*8t@R-Xp- VB8~X?6LX|+e#bgL D&pwM% m1@P`(I9,<,6]ٿ"Ű"ݤލ8kxPǖx2A2fL~t-iCCt 5S#FWZwj8 i&጑bzYg-Zt1G=JfaYQM*L0r@8Gekt]KgMraȃ <0宊᤺nLJ9Ĩ'0Zx)HdHsۜz5f>zC8w[<pP+|3ʂͽ<w"g0aQPG GK[Y:J~S p4]ThvWG~TYcL2EEt_Sh`!a4$NLM2!_CX ʀد<wye}CLKV 3t֜MT%UvT:UaAa4; 慻Оx,Dr$8S󄬒EYH1IJttD}7$p,Oa\~ pi4fviN''BP[O^v^B1&Yjf6\ :ύ-c 8I 5%crUeo…L(&4_t"B!;_G#z2"& 8;}$='Y.lyRbU7P65Ih)fY>z^N=eʔ/޽WYnt^.[NϽ Ú)1 a8b}01̸2'*Hq Ie01g@Qg̡D(w ڥJyY24jJE|Y~-4wv_q򟑥>4g8wd?HcBP̅9,&]WMW r@1Ȯf_8ecS=UKEnVe$Hk128DIv(x Pك8" =ky0[4C:S\0r|7, JrQƑ1eF| pISP<VCf TrC҉.h!;C Tj Ń: @:t"I-ksI6x D3%8:t _! 9_|R֝9WfFA8Nً.i؍fگ|-~?adǨI7?W777FQ;/,3[QCDǔMxS(s1[Tr%f -ZO!Xh 6, PiQз8gw`be|lWm)`*G`RhKxjp)X;/>~&l@)agV}>|o mP-pH"^.RKp^]!M?#"d\Xu% xGzƕoOwc&9017dK=Paܢi2BP?<˨aIZ\xxfyYVNFo Yq2t =esbiJH5&*TX/dWWݤ|L! V iHmr:~a9d^Sjn4U2co0Jz_J`hrJJtFtwד@C# 0&m {OIi]RI뗥iF+NHpʡTL%;#*ƚr 8V;Yܝ1Szsfei=jGygu35{k6a5H.W}7JRrxXE4ZzJY zCN:_&)KQIP 4s*+xϙ= LyL$b9l6ǯ\q<[pj:Fb:WS Fi*m5zm>vp聧Ճx,jΔhstg|( (RHKqNn^uDY (‹HԌm/qPJi#a#~t>QǸT\,KlGrhFWmj; duhWe;K>A-b:iapnOcN⢯k`+d;E\ N*Moo E[}7pp3u.LRyh 6|AdLa3 =AhrFNA6^maÔ)i 3%xT;< ` o&G?%N\9 * ɡ,*¿Љ\cl 2\aƛ38;1 q7P⭛&kM\ru<(F.&}JA@2~ 5]qqCR~rIļxSѤ+b@bkOh'Z{>aut:WOZݛQG/^ I~"k==UL.NhYU(gD{=A((nHsg큮6jƷ7ʘMOTĆe&ٴQVzJNf8ga2d«E'iSiIaiW֦^k `pИƔs +)9`˦` UfEÔ .[l SzY.ǖ:&t#~!*3l"LyN04ᯒi:^ic)n¤64&߻Äy􏲌 0W7O. R0O)ݚ㩅,MD =QGC19bau^,3'JyqPɦ`/<,Q/~0sXr'oc  a2bA.!Ͼ,6p8u b;ڪ D`E#q{R1wۇQ-dhpi`gWِB#aja[ d#kB Yà|h&R-2~><>b(B{ŧh`\ZYx $j<4%)֘|ρ3$I?Jae=5m#Rԕ:do_Pdl)]pg&omSUUÚ](JJPB)}2i^$sj9xkC?8C4dJl̂'Gx pOc|g?{ZtkgR^:Ա)\L/K"L"lp$`d aX&)귕 ʊ]c%𨄚sqh=$gD`E:{ks (p"ÆnN+`azxJcTxV}ℸ@._~0 [+72Y|3m"gloBb(U^`,vy::ȉQM<.clg%12JCх0JbrJIZ_sL9t6$ɉ!SsiBEM0Gkt`, Zj E]ɻlɨ¬<7ÜKi3XhSpq9f+TwKj\</Wo+ K 0B>:)QEmQ<3vCN7 K;yiKuavY+n-eǙPE`0˭bʈ7dcv$`OFxy (*k$?%("Ǜp0o9V=:S'QLqnJ;@aahPk6m# X针!å,ٸqW͑yQti ݠo׼!~N"Q0xE;xmHg^0y%O&Y[P9N)>,5Kr"bzaTUŧb7?*I(85:Jt ֔آtH8ȖhcHs)3kX_d/7}˵{=NNax\8kZ"YBVB]5 Mi"f&Ok,MI/h\U@rr6XյӞWl5ꛫ,4˕ncd[ߥ  3q{i6;}ECeY"{89F{+%9? 4YF|kx"怚"_5~X?'{j˺vN4r/W xxP`qpW 9(s CR<%.d`6y_=>G&\LWؠTF3oSkx,N`b3; [*2B'aD}"| It7 K;(2ntͰ&0.jA_wݙ}K r YLXw(#0,tBc(>j֜1 ".'sK- 'K/لӪZb5^2%Hw8{E(lrmx⎑`cg0nӋj>AVURyE O#IqjŰQ:;4TܴyM2fWAX_1#&*^^Wd`x00ahBL˩pa?Mg/][ Tz>8B-/,+9jpƅ]x [\Q|pؚ]Ҥ!rKbc]cBRtxE,7Hd4c{6K)N^'|3w&Ch@r)(G pS,*x{j-lTgy)t-<;H=Bd]%XᏌ3K? Z t:I?ٳ#0!MV mS;P&\4L0s|6Z6{]LFHe>+TAI'Diw|7t%4i*҃MS?u<־ChԻn\;Croa+gwLݟ0B`ц-i nC> [5l0Q.{z3}"ۼ7]l; HjE;dtFkKɽbď ;-+u30%}š/f`0ɅlVIHÊ,">7 "49P~YNLn)JtieZS4 '!iL- -̮GLE3bbFlesقNsKe_j: ?RWhظ$=]0ˌ*z-"O?w 4`8JKj%}nPU v1\*88$vCViJ\2&,= :~/ܣSi

`M:W@C%A%,Th3ݴHZ'a2^ag&:cK-,O*`Niá҄B 6>/RL6 "JjŽ@ቚHڒߺ_2.f:%XZ鍞*ʉ;ON꙰TLj*R+CJd ]4\Gp܍%[pdr'`uU몕N" #"eK0Nm.8Uxp}d/i!2@}a@R6ۮ-/ר4郚v`:RW ;8~O0a3L#DҍMx Vor`m&I/&r$ӊCg?s1&HǗZ47PT*0Nlt&8idF)*!~;/mUD&")|V ;+4&?"_܆Py8ѝdTYv<W*AF##_i IR&Z fT2SV aSK)˚>t^xC){|6F*^J,X"oLyyej,Z/h0x p-cվ$(Q<&hj 4 ,*̮(TN>@MJ " xH[U} @b3>M'|7+MM%[ߦj9!v&;ɸuE5'x( L7Scz5{4>I tQ}Yo{etotN-L_8%etH sGcJL q0c#@I1,M9Ǩ'T$Rx./ֹc:&R/ZƮj~RKط̾9q9ڽs~`BP_â P@kCJkЮY x4#Nh]#pe}s-g^/c$^ޒ y>t\72o+\s`lG_g8u_DMgjFS_MT)x̙eϞ%0rݦi,MTbUqI>rC"UiEc,߂SREzD # ?]]t+0/E b$*(9*\b XpZ(2X4uDoc{6epdU@%TjտAiӢʋKӤ6s58}Xe|IF47:,=ϸAm fxƑ} Y((&%Wݥw2D%Y3ZG)y 4fc%jR*r-7i4^@b(1gV}/ySX°Þ˛Hh0,0Ri'9[m 4\n\GWKV|9>T3._{bprH[ P"XgPQVTh^L㪙&HQoK@QxViĸ{od|CՓ.l'ހ9qd-g9C9\Acy0Bex͈xx ԃa83Н;L/#ytɯ)|[;Jus"ϖIOIW[1J (Y&'XFPJl/1C(б [ 6AP 4tp 1OcɃ*OȩX!33Xi C"WP3\^BFviFרLFAG>SG.F'ppiݾp/uc 0譏ETX8BǏuݤ|䴿{$9 PTpܷɛ& ɇZ9X\8Gmi|qbESu %f쿩DM[sW{y ap|̨c}t14*}ݦ=I9x>|8ڄe8ܓBx,qYߠEwlL75ce\jSV,_I|;;$Q2S@2=/&3ZlK.e`3WߝsV H!?a5D96Ș+y:3G$-$$5g|n= _йR KO׫:>xvIyj3"cxQM40j@&#U@㶺o̒- W̝݆eՄ+8E(sxr2ie2oFJ9T2E#8DA.Gû8_x(bt0цSV՟p㗁/];N/ظOݶ42$f'Ny(,*\/( & 3J-=¯?( s:W;9t^=N>xKOs5RQF$sbҸLuO0[Q@zn,znJ$ҩW@)3G!oV7!*΅6(Ҁ*lXꦾ)Y1U}"DD&+SM(SƐjJ4Kh}—c:χV#'nBz˰߼pɀ>aUJ]v>zT=;[#?˫y(e/x0Tt) IE HIp?RWfL9]"j'[ =a6GAr/t5 g\y éyUȠؕ{VT(.$kx1n(]Nr)FpSZ2ki0"aqSTaWRH輙5]*ڣ{ Ԣ5$-yYr}/XA{Q~}DmS|`4SN ýN)S9v4|mjHmDƆ(gZ pc  ShUiYi3DekMleSlFb*謗1Z%06ǼG14ݗA+R  C'x۬ZF@ӭ'nyXL/,_,7z1 W x a?.^V 3A_pi!UOِ֕Aǩh"F4‹?P74HcCLZIP\3$˙'M/iL4f8gLcJE{xRA_n0VJOhكPeWtiorѾ/+GQlՐ|d .J}L4Z~Y8U|rbՓ de]X6 6zG!p|A, *Zƙ"Pf7:/)>LS^pK!S!@iq{tg4?aE0ѧp笑ݓm.Ja6el)ld$t-Ajh [6 h1 yP`цgAd%嚫MU8ͷ3fSӒ؝ݺxƾǥ8F$9/]6 *́qsYva\ vWn@CSj,g0dkv0miElV允y-_30\0<˓ǘ1 |`}N-176C@[ 6)y7gԾ+>S}}f c޴j=8 x!Cm yB @깯şɪ;n̡[#˥^sRּ/G)dpàl珂.H5dSm%ТfhK $(4uv} dPIHG:p8O+ܤ4i7, MEhè}>>9ip-fגIh7jWzAr{O2]* ZApؼ|\",2x6t:s_R>XRO$FOu"J,*Ng4E`DO!D /ZHëpH eܦSP)3KI`rDBqu~+3 0t jrƉ`UY/Y= l?1 =Jhl2 )*`¿zo1)R Xg}!'/(ޱ$cb,*n_e ?P^x_RSȭ2:_C0mHƴC|mJaV YK]IlKK^:lK+p̏_٪ {$a(-4I *`eOW⎅ }J P{D04N4ipP*^xڷLDUהt/ '|avvv0{s(^}fG }qr*?ל0l)dzՐtOω t.rhpL8%kJk@ϊu|g.KaǹH׀9|ys41|TejJbY"#QFU%0^!թ41@~ltX=80;a]8~ 4w}/Y ,]C#܌Y05ȱբ@P"a#] U?v}_PQTP%7J*) N] ?8Yʮ/Zrn8:u87k}PZMǜ~l9 F]diеInc7 p\ x@fܻ| X( )a CY `C8'"Z^F3ڞ:C1zhۛ:h]p ie`d`TNaz/c*Zec_q6Fv*S g@I5rmڻw'Fl 1 N* P:wPaAA\EiџOʼnwDOCS"ȴˬda>v? N|0O]Cު&ʡe?]rəZOˆq҄%aɝ%>-%{a/TuU !4`tַp^;dGLIiw)54nct/JPz#Na33[՛Z .k 0wu GV=}5ðYN7|[%" a*ڏġbp--!^ȦGtѲ+ZUǬt/uzKM^A¯`]6s!s6 6r6 ?XʃQmV qW0 Ңk.ۊ>!Jz&rmhR $t0 tѦR^4QW˜Wpy.TQA ū*FbCW"kti/,'z5RS}ҁ -E8' §}T.|p&jRx07H :`yGQe8nѸ-Ñ ӓput(j0 \[yup+{͆yQ</9 JisWB?0Y8].*kqJ K?ďL4"3i MXKFDPOV%U;PH=?84jO4%Q՝3v +V:UZK}‘U>F#]h\Cǽ?]LZ} p,끕gΌ+.fس% )^"J3iA =E Oҝ\Ls tQZ4z))GDRnBYaq["4(%M#'ETMt"YR%t>8| TIKiSMՁ, \\If`SQ!)8fpuY+k47P=ODC chF˲|maJ *I*(zvӦ:`s-})0 ș3L5(@:g )␿ "Z̲/E(|Rz#9f݇s^eRq^(xQ`I L CAlOHcyKX*!ཊѽ 1Cс!y6E&@S(q s;%4)YWU|!3Jd:B|!_4ݚ[xhv gøЬ@8 L=yRlØ k xfJ.m¿#@HY0ُ`@s_qzԚ`>2Vد, _b8IWf-g$ԱS/rtXJ+-9]pIBAaj ٖa24s|< y㛅eY/dX'V8gtHjb|%x&+WG2DVk:r<<gxM=U?/5ᢔ[Shf434yR}DQaQNTWe/{Zr|_?FiLc Mo4謾46慫c\SiS}AOW\B"}"tgNMjŸИP![S"hfUg/4M_] b>0av8!?j<}:ȝ/"8)3 lx"Xُ#5DqzyH3|R5v=I )ҩ>r ";Юw<|J,!G' Tt4f~d>kڀ>W38Y:V́[xǯ ITL\گǔ1^&&ğ59;0}HO=Km:?6o|wy~ g~~Se":gVTa\9cL^v_׌6zT8E8i5?bvgaÆQ^#ƫT⻶`gT~cutyQiݴ+HX۪c]J¬JY%<:DUwtPk{ >$>HORMLҎZFҒu.Θ*L!zٌB={.msp(BwݛZscqwlF 2io/ʩNG/TQj½ Fl")JTrݪ&P@]x|rtP%Ogb\  1; MG-3:zeAЍSw&&b\7ZFS0iJiuɔ3tqP6#M g  [c!6SI4C"şeL!¥sidt 9ERx>bqLqFN]NY#1LoK$ ]uS-3)9/q1Jxۚ: !c aJ$Q)/8vپ='kQ4.aR_ʒuViQ7 E>W>#,'~ˁF4?L]%5/bҒVQ*R0iE_0k+9Ptư+L<ԖZlN 'Bg}}?\DG~)^>xDUM{E$ (@_1(pY$E& FbrNԋ^ B#T若lI{Cl.ucS x8_ZN{Gp&p`TtT&Φi"M, B @ܤ\C'E38AMRc:|z wEn \(tQw.wjc1oV⾱h*a89fJY/a r 迉3>D]N>WD ۮ[=~d+"HEHHO&\ULƒ}n:xac_g8*eeeZЇ܇%`Ilr|C]JK6iXqʏI˰)7)HxfBtS [sR0CEz%P(Hf'h"l y5XWuL䬅8\kgk^ 4|I&kH 3ZHpٌ;aie=zzO%TxH$"3[yr_2b6oxXSұFNl'g!:P<|}jXe'JBٍ1ugiNOS Hƅ0">FR5sh VJoF^2wõ&1`USnn`'*"2 ADGOY%٧ɹFSe_ A{jKpFJr4ayp:VK)\tH0 '?ZpxTHaUBPᎩyt"EYhuWLpd41zDtZ (t4=Rz:ZNһ{,ppi):yNaakU j 5€hT!4"Am@4^zq1H}̊8kvg4,̥x)uFd ,Қ$)É9pA§71JeLS!I߁qh:솗glⵃTF"yGS)KIP b?u<qKB|ϋ{Qs:6z3FSʧF$a?Ѹ1_#edS x4jfJtA?0$^\B(4--}Lx_tٔ^%tzbe}zn>*RLOE|,Z8f;)ڪ&1Pa}X=MG 0bjM K KN <*-P4J+ YݍDtu3a:Z8N .g\2= 33IJØc*t}0*?+3:^&,ZLIԧ~I(rIy^t{ `SRJӴM8LYJQ:JKPܚ .2<cJ=:j:z^BMTIGKk|vP,~HAr`/v2O]/C:ҼQƼur$gY> u2N}) }zlEOךp/Mg4x ՚yWg3|>=Cۆ2A6V hwjqߴƟFrkʚf 4t<, d !NC`p>MEW,b4R}ҠE" X j{jAN]Ve |_ =`*ei#ʻpsw~% ^i? 2B 1ê6jiXaaaآa(A+:\힃BJ{*dҙdTr3S=ʷ|^yf&`nQD8N䤖4NiGTP@B4V-iO"fHа6s/vC'ԉ(c¯l# :c 4p,Xk#4|f@ts)"&*vJҊ.xfk 01ϧ Vˍ ;`jC,(M~M,ȰA!]3Zr)zxE9l|bWܥhcdzeoXg 9 rL (9!-mlN ϡi%V5CkJ`h4 -*PJ`DK2`xઋ~Ro Q9Þ4Z(_W3՘et2Ya//c8Rb&帛nG 4؋pbU2XF<:^Vm4ҙvic_l: 5{LP`)jr6z_pQHA2 7'A%w8b'["/@2fli:AF8NgN!;[kk09&U9|5aWq /[kR)ʓfPON)m4st8mA_+HdLӔլ&% WQG ւ7PP"HAW*cŰ|XM L^x>$сPǧf~T¶I ɔ(SB0)]>8:x:YI^G8 e4";sJ+FU i2c7&c\@ʶ8ZLյTYiu:Jߙ=(krE؉z>+Ŏ,A)e3m r=' LUq%˜rD)+Xr&Gﰶ0ORrQQa bŇCd3㥚dZw0UvYMǍ;K(H/ߠ28rG֐Y\>, S}4prƓIPo; sTbHǎ@ê]+ua$TO߾3 ] Hb="/Dx[O;IN.0ɝj+J,Kt?H 6'jW_/,L8o2/km RM*LaTPl:lR+FOY/*n*za:6 $4MxS$:Kn,ycB&>1 qj^oY`mj䕿ܞBuHj ˺+NN$6!a=~I"撠t0ꉿ!?0f^!%= [JWO=,:}#C0U3?2ԩMje4"Yt޻GhYI2pu)m aA`KM:Y?gCAa4DZod|aṮkHxt:6yItzIu瞒]:ū'LE6`$ ͛ aSejwg3#' sMSCdSbkQa$U2q%^L"Iys[|D 2 eQ~IKjfFp%8;NvGBX9,JoJ=.Fcb@Ű^:ȽzfUR-SBr?"楥.gIe[b{gOUNtê*lU@t WI{ ԫw0I`?4NAM1ɁNg F4A&X9U 4$8P];?&JfSK^ r($Gi}iS$@ \0|xr?p_Jb74> MyLH{:k)dBuLV"$c9>Q-F*ծch}V.U~y cL%Oep"dB0wkx 'utimp;nNAG)z:ݚma:$A w= nK{P^$r$k6"‘?,HAŞ0h,-|,{SX]rEKQc sWvߍb鿥S9X>\iac4l\euѿI yK^?.ET&B/Ipb~ꋮnM¡sLj9,e>6poxqa*;:~l$v;n6+S3 ǚBwBT 1dHxˈ=;#lIc 4fԟ9S \Ҥ0҈Qt-qWX y2夒*+l]T_Nݽ5tOړԢ//껃HZBab xUC䇘0APpKCm(EDocp.@:iȏ=ɨ.vdvSok[ϻ``P[E* Xy0>%.Eh@W'ͤ?uu`jY8}_t ;zyxLm nӛ Q U3{"[3b0'h~,h(R4ӓXhYQ].x֛5bmt'\G-lvԢYDg;CE^YCp!?2S 1EzϪ ޞ$jW^'*?!dVT_P &H^9ǹ7p)t! [E\̥S;r:0kI* _[ri45m's| 'B/0 ;)#p񆓔a)i;$ wYg//Sxz` b>94 %`V=/SyOu22yO80%E]\2>rD4,-&)8e2ePjä5ˑNCAjz

x@TW[J.JDn I¦[.~c C+n4)cºZ9?rN`AqvD|G"OUaNn2aϝ$!r$7Gv}%M"<~` ܟFYo? kt92E*)c8R I'\Zi7 ^=%pm4٫X47o?D.?^;^V [Q?$`b_ S 00BAx/&6fɥH ܐgy('MK2ͼ#?<оW3tŜHQ\*d΃מ^CrG_B uO>pt0ҟጔGJ󀽃J;ҫQE?"M|D1㒓-W9CU`|Xpu묪gK`p8WȆ HtT0tK J>$4参3&Uj>6 ix!|J]`n_ݘXBao"1J|11uka~?Nt$pV%Q FDuzN-dCsE{0fNaBUL:`P^HI»>b.א۬.!p5pЦ!IQIrq2 =c%:noItK3U^x7O@wuG~~fB*ƒq_7ST:ܢ 1aS9Pi*pV:8\/0'IyLjI)0/ۈC-hQ. $+e'w=O'a/ pc,^|KpP@0}J~93@|CDMp2SZ]ӞZtywcƉpe*.çAv89i~z`XPZ,E(Aa׌-́Sĉ'D^qy*.l$&I:,0 ;q#AG- /4hΚ"od`o՜M F lC2S\,9KA:[J/2\)Et5uZtfV2M> [Ҁ<; ID/弱ΐ/B$/YVS_{o403u'ޡ/|hN`8Z+O)Y:|iKMi՗oEJe`0˟Aedxa:-EҀðoV6TQc&"8Vui \9hkT[G|<jflqsT6Ϟ̏OK;?wg}ED-Ȉ9qToDV.aߠ(NuCuVz=Ԓo"hmxeF,d]L1 4y8?3vET\t虑^>n/vOf}9gpc>>snO=IwoY* ia2@P1AX=o Z|.!*O֛kRUx]B(ŸꗻKR X{'Ɲw4V$XL|\Ҳ:C7+gA~]@QH7&J$i0ٔiOi `]PT|Y۴_|7's bMrbth"' Opau -9SDa0Z3KΊRbITHhp8vXD4x5LOU{p *$}]4X9,فhEB60: DYО+5Q.ח`d3da"$h#ܿr~sZ[εN.ÔR|ɐ=jk!fe^/^ǧO,;#{>*{R ߾'۴>$ T\HHlvJ.t(Q^oQ L} 3 !w ZE4r7O5/ Ia-88ܖ"Epxpɧ `{*)hal G)%CmS@řբҼkA*s KW+Kx0 U4C:kQ6aaWO,{תP lrȮ29tL!5IKFdUS xuQQf9#ްHV_Bٿht+!U z'Pf-;h`E`\"ň\=U)VK"1JŮS!NiɲEH2TpAu8fiT8ş I-}*ẍ́@:⇂XZcyA>$i,_N 8{_33H4L.v)Z:B06 ~ HѾrc#xٕ\1 l[ex;2@rKMx j]MH#T3U|쨀fIsa ^Z@559߫Nz!ϙ4ie_t`>2eKŸN_oM9@Wbkv󧾍ozBg׫0P2?ggsThWš.7v\y3#XY^> TX?QƶgS*؀t8O;wOj!`u@ ptU՘ "|*\ Nȭq{zlY/ Bۀ0Nn &He ?qYLa/h0RR\&QEaLMZ$MY-&#2f KD,.e3>XxD_ϼW`dJ^^ J^4 1t ?,CǏpY V;p2Q_xɜ+[reRM4pdh d (g\ĕ+"KnW:wCT.'l q\³;Mfq\5I} l[0@}kIDL WIh酑pnyVkt +%M;v&J; Wu%x+ wfSNՉu8ꓫȜ:hyt qCZ[%HN#>fe2ߗLE?&ta(ç a!z:TH)~UBKYN;ʼ֤.jdiWvE3jT5t p~'<nq̺xS>eY'_ E a0kL:,ۆՕQ<Ϯj K&i:otw <;)Y [O.L1PC;Dl=O /ltň=j|b<YϜ1'\;/,:l&R8wsҸQ"3xƝVzDX P?4:a~J5?;&*1)1-QK9kf83μĹig8+G@*P̆\mk0L]'Q)vIDZzjnB$=6%LN]QWNu`bwHh34(oq <(ƇG8ѩBD~FdM+Q7X]ud(ze%!]q"~1{eW$?sK÷lᄜ%#dX?ي!aa!eevi'o`r MD$֞ 6463>ps\ɳp^sOȏDR/k0Ņ=[ ) s VLfέ zim\GQG о:R*fmosGHn8_}`lmG${Yž'%VtoyFJ'"@:)xD+e-)5\pƠYE*,< jr5ͯ͐D0  ƺ177\[ '&DR"_'ۇ獆ZApPBN4pf1 1ʀ:fR0l` P;3.j? 6ao0"2'E??9L$L(S f *\#K % /0|^}zhʷQMF:t09SWC$0 >gA^#3%" ؽS=+T)6$~x5m `Pn0CKsM"֝&HF0Z[?? i2&AUăltSJ?/y]?:DQt.m26M ɋ$ۢZNn8vHf(5&)/.k M*\C$/g,_MњjIflf3W~({1u=<|0%M™b(8'O ù`M(R΂pYyr.x8%p0@?y6B0.1␩EIҿ/E6$"I4SY)DX| ě 9TA]~9R7u8{VX $pYՁxH$~J ST^gf(jxr1Qg  ^f) )s~R mq*cMp1gj}tK+$c*sQ#"2_}wd FRVy^OGdAK -ҽlGB<}-5 YdC8R\~o1~J5CLOQ/ W7NҪrҳs<EJlu0/2u4B|j^]rA{NzXÑR4R!l&%}^{ ^`MJB-a/3NaPa? ߚJ' Q y"$"ٵҍ 3}d\BQ%|LG'IiX xs0]t|Thc¤?0þ>"JʚQF34N`(Dywov/ґ78Քiݢ'BnПm=O~Xs';J^w-oHjoVN*js%.ktty.* q! %駴xJ褒-g$vr$݌U"ԽWq'(Ԗaߘn탰rquM.7%üUžtO pӋT׎wk={.<|e*D^KDR9 nKzKS,^ԛ`/_=:]ZR&*d^1V&~>YJ=g&xCPHOa%So- w.u~M*t$:gԀ[n+D&&T21 {УTWWԢy O$g潼: 1p+T0}V|ˁF15x)OŶ@}c28Cgɢɜ,HhZb@]_ų\QDt 0Q^ B,n52c%L/?#Ծ>#tzvOB埅?~4~R]@b`4 w0\4+Xswf3DN QpOx#דӢ>\B@-IՠTgb]GKḥ֩nGU~r/KYr>jF[InONAZ칥 }qD)L8`$FOeʸ."QM3~TZOy?,u x؆#n))> KGN7GQ&D&a: j&(f+L 3DPb s3 dHT*$!\rL *d:Ȯ I[CL7pU$X`\v^6 oW-K%ʇNcx\(gcZn3*s>DxlZӴsh6oOhYT[.dLb 8Ё;'jGux ,1|:U PpP7pi`&x( Ĺ_L?cg[(1P{A4vLA g.ެd|K+d6VOm_;ēfԎvm28if|F> aPYUXj=&.6Znt)oP0b2E-r#a%^fAM̆-OEt xϨ=~\2A4gC_0,[lu=<24z2q>5 ;à h^&MiCtJp+JO֋E/ǟT fbgOjIeqޣ&(t9M t r[Ľ6"OpK O3<_-4Ӱ N*f4ݦ!7(xuv z\{0'fGD [Ӑ0/avS0>Zd$ apZ=io.#5ç(o\iE' eG4h@ᠮՁ@a7=a2NhЊ)i u]"'#+K.O߯Y 6&Qq!ߵ-4Bzǘ5BvUӽ%뢫%uiR4:MB=ejvuq8@0h0`f P3[M_i3*yBޤAC;R^3(g1yOI it|-rNvIǡ?TYR\A "i&ǵI:0SӼo1&좣J `ΦsG>zr,\GL)iT|K1+w#\A\t8VvX}]n\$ÿvU1>d37vp: q3Olߛ!&ze@t 3L!v沣Z}iDq;@m{$po/L$.@a,vNM &mߘsUCqNbdFeo]Lö7L5c7?g8F;9]M (p畇dn/tmdYZ--R*2h\u]%M=Ӳx_uظiO:70Jy=Wr CWP]W;ܹzլ.v44IQ1r6A|*p”qVt (Y4vH%Y:|eqNqA␦Xx('\p<|ZtMۅje=A[g0U|?.R(io8URxsBgi7𔩢xC{t8S~X9Z y ^%mU'x~"rY_˩Te?ap7Mdxɨ@!&;*cIPJA/ Xo)6bREي'V%_@)2fЗyOi:we^ ڒ@8~ c*'4oBFl6w{ hp,0۸Ŋ2.fSJpA73IX"_1╣+I!,gpRȍ> _{z 9l3b:ZҎfpt$dm_j6 M x#¬HdriU)[V}} h !NBJ,\3)g y-LTRϒ0%zeHpW %;a{"s\4p{mz¿7m)xL < Sb3P1X_S<Rv쮭:f7XS~uIcp')ETOAb`*;$84!%\ n§@i[2E8TNIH :' +6"Cd+ W+Z&IM5:^^uڟ", ?*RD33t׌V,+TYrKt.{+ RG'_+(v]I@\0Lwk99⋞Xe&5Y$TMf9yƻ-Y($×46@nj8Nda]<&p*y8mSMaaeK q{BxA)Uٸ8gCv\VpGIuiWdFF¯LM> 5~">v|)L g&Ffo"2əVVS~wD]4lؑeIA(ew7|Xz]Xz 'KD?h2%`ҬՀScžo1Ʌd2+bN_}oL'g_"zgmLpUגrۙIpI^9@seY9\ nrKb`EV9 ^a*r"oI1\QA7Aw(Frgi1<=oZuw75r~bRYiK zÎre Cʧg2X? $ ǧylH w<\bU7e0ޒi0|ͮb^$.`Rf_.?>3TVCF hS1No bm qȣ0EH7hrs?ǸL/*,b]k Jo<,n>tQnܽGmpL tҌ'CN z09@`h%"hLڽ>;ӚIWqµ<=г<]4K/ @ꟸAF H0}ZB+oٺHE ,AW#̛8[oUe f3< =Hޜ|ot7n"ZT_x9B tp?N_s%/;NS!}| b|])|F̤x8k)"Gؓec07X摖 ~XcL B[ }ԧf|nꉐb(g=Wi(mYOHSh(rVUFЪM(XOG\!w?Xih٩kIIK3'Z0 )8 z\-a+\WGfTQ^x8!WR=!z)4nv)?);`@&IDF"#=خ:UmU3 NI5]:ď uFoM:$ǰ3S2}\ha?!8GZ#17Z'L?SL' YV1@Lk i4&iOʥ:L$$#'n tC,}2j '[r3LTgj/uFE$Zs]Boi 2r#¬>=ƯZϋ9,rp$rߚf.q ! (r;j*V1҈`pڈ4"n w'^qp!:za~]=QjUhcJqu$0;V8.G_S6R() ɩ#Yf|#1OM`/Eff#:ݐ⇉4(!`8IV9LPNy4 ܣt:IW.pUJVC0K {caB)ov3-N)D |~¾mbOo'B0c`ÕOD饗p-|jSOpJOGU#Tp|C#>VV(rcS9zV)KJ>NcH>(ֆLq?m9V|@G,Y(|õtNP%1ݧ< C`Zx?#zMy;*'P~YUJif䆜J$[jwue7-vBgstialnj] UrĻ)N >>zd5`u|L ͝IICt]ղg<ٻGxsW}a-^ FwiME}<-vG\@ik37]0W`t{yfrAZܵ"kUpjZi*in㠠θ rq,1'T4A|ɘku0~`! !‚0}pd ̨Rb03}>z79+Qz$lJwSBʰ#W3YuLp0=#X08i'R8e"% 뭦FMi(<nNh 7:ŭmUrY^1]q2$,TӤZsaG ]m(tl.e-fp9uuc%fbh$Y~(̫hR*zi ďVPUtRːO*!|%F4uasHuȿӐes*9D:4~ &/S8vBT3kPl )' :f#>+EIU㊘\"ڗS7Z7\g "7V0L>sk٪la n׃'0]F:Br13|.ʲ#QНU Oppt1}:Z9jLhHLF ƽݢ *z+ [zppąsbeeIGEezs xoT`K8@AŔ 2p ,7>1Q;JtD C&qbF!)+w\GcwCpImᝀ7A9/O^+F Ӥ'<1W`|NB]O+OJ>Xꕜiv~F;?3(~.=RVW{qnXcf$cq 5J1o36r:4& < pB&"XB_|l[t Ӭc?v8c1ei*tPVى(Eμuu0fX`(hl/1 YR[8Y"Oh Ũ k6|sP7+MG}F]T +&t)߄RNdaL1ߔB7iQ(˿ 8(?ʧ;ի>@!wp.5Q.0?N gXt fgȅ4#Q$|+O_dio an,\p-$b1c9nvLh?G<*~1flͬx!ֽQ5mMepih~VZk}}ZcvTZ4 r0iڎ >dF$?OXbI@4A7b4zdRHNTe䚃īF-ؼ^{WO1ưr&CHH?x&*&NW}>\}7 {Ad4|bZVh0:"\xX3i'fiTdSO)` t-$*eOqI׃AOL/l364} &#S+\yȵJV&gæXw} MNďg & SDHV(=%NQ XC鐭IjutNDѠ7Ϫy lG%r2Q3mFR6/D7o+X_("ۍ;*hAD(t+=L2<¹ԟT.py ծ=ݔ Ta'9-\%ך^!cp K$baDTr]%ʅ1 #2̪9L{ߖX,^BKD \c{ a^:l+D%d-Sƌ˻)44,`Q scLJ /B() 1I~jQLnO(~L z lj%i=9[8 @Kc2ƪeM?eS=5/Å4iqD $pPd 4XפM68_ i:^&[9V"WopH䜝|mw9O ѥSqWv8%cG7`=(KFI]gJ1#|>6e4iW8`JYS ) 84t9V0{~i4 g=`!A#.PCnLN 4:2ie=C>}?]LPڹT#@&KZ>) P g00nǍZ4'K ȚӲ8xwa" I*z)JtV)*Cq3O(<zlj׃wPFIERj%]*IyC3ʄZtçi`MIˡy4(/0#նXBJчVMX,Ent K\Y"8Mڛ ItFC=pș&.w|k3*u)hî]Խ:`jaLs;4x]2/nY] O>#!UfA _8燉+ % Duȃ0qfU<.1A3%չsߍ4dȱ̡vB0K=ce*J!Tp8;@@#='Ĵc񃡜mާ-mo]KVV<{<.ɦjrU&k*-LStXZwS,\6Y] `|lx!a/e7kEI)  ۬_`HUj'l4ch./ 8v۳k2%9ǜv3,ܜs?}H4!dJBbN"b,II2Gh2nwV*L/4܈pLSΩgPۨ=g=eV=($   maЧU/.z**rQX<1a.`, \4X<]^4*Ri4/:J~l=_Dh|^ Teva@6{*]IxϦ%]$ˮ08?( W,p&rD%?5*R%*0zHzTY`6pRWӾI~JH«4uw ;Žl Ciud?Ίny8쎚KP4XƼ 8QJIe8 j>cI<] W-s,:'a^nI)_Ik3K}$1Oяw]ANv]>d'71i"vFU2?,9>O$<^c=2 (IO"R(2\2C$K@.Zb&D*aR{[trFN.CŪTeR!SO Pz%e3"۠2ibv,g]U12%P'Zl-&!I LqaiKsԀ6x+]rt'hlpN9ƫb[0D<6 \،8M# :VlH,*[T!4l@B"uS1?QuJB}n$saV`!ƝLL@4awʾ6xx 4@pkI%~J-gT L'R.tSIGcSc\M07@Ϊ PiAx0˩KOy81֞45SϢ:ΏIΠgn0vq0<(H(Z +!dխst>e` efY~0~&v?;:zq47._ NF %E;cvLJDI]k^ P4Lf1ȗf,f * ̓RG$sW[S"6gSf8{╴bwKIXVuUhYo> i_&2}b-jNF]>aArSlЬNtm >⩮L/)Зi2&:զu2{p•pc;7cFY? 8xe;&+oϢE!z.ʧ~ _Hk.۾ \7UUh8X~Ux7R8Fp45OVOS- kT \Ɩ)b(4T#{ cYN0x^",D˜0,N a1M lw@d1 6Z2n23jIo/2̨*xT ۶p8SPн YavGRpjB ks\00|,>tZj ըvDσN!jڶ݈3W MfkCwצ&q(UhhFa_Ƥӗ $%CpCI"ӓsVʏj\@xӡ/ΛU5U(a'銺aDћ@rSܞe׬z^GߣGs\'X1JR"^y'9bҬ 9>IB3YK |?Ge.TY8¸x?>1#,-?l: tK1RiY7%1^b"9\a?)nGÇ W5 *c!IAU:)p}Л\!bIx  !+e<[4_ aKd=]_/G)FC$%'1ht=XR/t07fu8<"P|~TTˊIӄo0}siwu 6Q]F{#"J_0~y7G\z؞:p|Ml[iO刪Y髃2v_lA2޵%}K/8yg)iY"ތQ ?iFQNpP Sϸx;"gń2nWp~ES =;+* j"8+G!'uY c@0GD ޲"4ZMbZƔApޝW̿1Ät`@K72ᥫӡ4{]H yD2l1 AUٕ|M=msYpIkVt2GQVa#8yO} ֚2\SNoOM$խNl34f\|v!40 F(oHɀ sZ}I rTdB!(V>Q,PWKgs~c}B碗j i3Á`G?";%A5imÌxjaÎI0.!|1PA]HBv4XEO %KW<"Ǩ?,} >P,0ݔ0S}9'.|޺y1,0X#1u3aG)/FU"3E |QоH|o!C_]74 ^\4&}2FG.[vF)ֈk7uXHx@349t1v7(`z56 {VeǦ?zނ'CP|`IoVm?*W⽽ނNʼnx?9to0:H^mZN3S dvQ5[EaP G[3ExM|4 ba"V3GƗqĔ WY hڥ e2_F]550iQrӳ>g>mvx o-4;ɇt; p0O e9 e,(<KsSlɮ21U#4[Iu `_qp𐇢jJGaYus/xO'*h ha8dgg)@?;:t9J{Mi7ݞCF!+o5Y{d?1NG8\sJYyˠe ҏnOꐝ Q  JӬdrzg0:7w 8r7ehm_KA >Z a=㶼*wT+rIkhun%̤7*NطtoUX8g5chR{J=CŰ]hJyQ㈘pa &)M&a~Fs,X+Ҍ'"\zt%S5, TLeSq1E "0LI4}~+ w_PgOљɞ!i;yB!ab+fJÎmIe@´NL>3q=|z>9 kNʚ,ict!ܷWV}rO7(ӂ0yԱY^:`R2fG.*W0)oނnBIP/*^ҥi^΍:r|f|dT+ݢ꒦` HZt\&~L8&2N՛w&E,eK3vsС1W᱘@҇U;d%=U60rSO,!52\Lmҕ'JЋ>f.^F9줔y̓0lx|vo&̧;BWrd^l3m~kdO"T5pM@2g8ƫ@GeGcY'Gْ[Y(Ȣ<+K@{& KatꉰЪhṖGdjL nLJp=EdaYJs @pRxô?!jmd͎iVga*&BPa| 8JG T$kϞg%P,+(pZO՗O{´^(e3 K{mp-8GVIAHWăp|m$K]rcoR!0Khf#Tf}>m=oY"mW6:ՆʴXrݝwt'8ZaM 'Svsuƴ `1uYYndf1lU1֕6y \z̡"LgI& :v ؃cOdy+ p0@I5&.kHYœ:_iɑ|5Fટ~^rO$!D VO& tpX+?b@n9á'>l 6^;M Ui*wrMt/Ǩ $VLeYq%*Ai3L @-I?)4x'IګbzfrGKwȭdw\?8,$QB1]\uj*lFAG 'Vhp3L\֑k ;m"cJ(pSO`u+1*8x>A"R9v:x S7,b ¬4+aud [*-W0FD;fEU]EW|û:U)Z qN8a',9Dp4&@Tֱ 1 Y8EIì)^:IǰX&`{ f'_%t=DC}BW;}h%{>jQŘԊ̩:ts:0z=5h(YK%XL{)R$qg=lI0/$XJLS% rbk5C@vg @#L\gAO*g [y0@‘g!|W`roq7_<>/$5$ Nbav1/Ebvxii~z5fd;Ɨ8%PT'w :a<}UL*=9%W ^x)陲gdgm89% Ƅ`tJrȦxMQ$J{zq|ЧOfBu =38Cam.{A"U+Cѯd9f:JQu` ? % /zG'eYu%8+Je`#QPP'\ቨ},7C#{ *pZnѠUbΘζG!(l7z0dF^yU2qUώ ql"Ɨd0Vei*)FU+7JvFڜb'-fH v ' '̑h5eT2^6j;$;$y8"Ka>d4O^<+Bڼ-2&5Y5Y}v%Ѹ6\i]=>(Q;hkat 9`-$AT@/! XQ?A)SC.lN;l.#\DíL*88z"@z!1myAl-OppXKLkɚ:)yzXf;\/vQJ:-)9 Z޳ZEIשO#)SUaPan ^BGXFu8D֊>qp3P6[6* &aY>%p wn R$cB;֚Mdf crAID*ѥ ΄`*fBhTX wiK(tuV)@%Xw xySmK&:r9>6@qYOj@֧H FV2A8HŚ?/ϫ:p8Ct `3UB{f᷃,bpE,KEs+h䮇.sqm$}\@p,͈Wk*,Eup$PӞL(z.z+gs?a nIGTHD¦ )2)qQOZSyӽG+Rs!$$ii-ރIS|JyBIRa-RxַTWn.vnjrx'<*Vj+1LV*R郦 D}sWW5^ 0\ bd'Q?40JVh)S+T#8 ; h n^?X>-d:`U\3;/Bzz0 CFF]-d̎$`AZ(mUq*Gd"3˾QTcpx\ *õ2flt0Bxf5 1`p`asÄTP-lJGlK麴#5 tɼLPR~ +s?H!SH<q7q_ Ãq*vCD 0X-%ګPHC~r 18€ɈIy!8e:!yՎ 2% 4XD"3#8q ?8h$!vtk Z)g?>Öfw-4-k"(c"g?ίTFy/H3ef, -dFB̭/rʔA a_EV5Ut<~1̐}WeR5|~@ؚƮA4Yn;R-*k/qSPO!9ºS J3")yR RGMp*%RqұItW2 7¨F%I#9Q8v&S#_p+TnƕLs>jxɋIo?ihb8D#sHy \d?UExXk%̶)ijԧtGsv,w lWR{Mj.~&z0L25,i~mc<\Ť0,: inn z = | yb2*w"U`V}RqX2J}>%R㶜U5r8Ǔ_}W>5ȹv+HDAm|pȝ;|gOib(Y8iG-E5ۢi:G ^ +.\ɢr-ш M.}Ud=%bJ7В\N/0G{J2%6O+["}VF|1]!CxY3B`,= "WwZVFK |IzfgoM<B (AܯJG%6WJM;VQ)˶Ag־-8p4Պn8p `28xaK yW M IT! 6 GSk/5iABetxy/h꘴$!`!ByMƠ柭\)9!¡18`UmOW\b|v01!.=þ! L+V/̈MMO'UcwΚ-P7CC9C!X7F][vqKq0~CJOyl<ƥG]3*3sDUu6RX)E W}0} hf̂u p2LnDr1L)i<̟q Ҿ>&$ ?,\z #Xf뼶\tLvto(D-&"?s?Аsf52R`"`?+t7|t?ۼnպneڰ]mԿaB؇'C.>~Bzv>ZfOpҾ_eġ4#`Yei*edldC8TIQ%[lBLNN/pvB8tz4BP'eΔ?=8pnwUrg\`lX/C RG`x~˴[Zf-txIރ' ",9^yi3riY3ay;>ǾQ0jyo~8_vKW9dliK3q"i@iA[s79/Yj>#+IӺw"魀' H ^*w;\rB"iȟ==pUOWa&(@ë Lr)G<{M}r&mSXY&$a ꕰFPz+'=2]smr"@] Wuڣ) 1 E<;5dIN! ::5p7F@~@|X@.[wdYҰ%aYMhzg'zO'G< #G݌~_) jt̎V3jQfнX%{ϐZxF?8NGi\&*Һ2PG$:#vn .55}ӆCʨ1\' L`~Mp9ӯ\Ј1 #u|ȝŤ, +a6Ķ=ҫزS œ&19POi+ 3v}#`kI]!2y .1mʐfN5r]Cx"{m{dr N{,r۾F֫1=Kb3=JnXd1cS<%TVgeӑ[˜"0EOH쿍)e3Bɋ%)!<1$1#Nyi-fv xL;,<֏- r1m).q mGd"hS |IN\UMhSjY꿋H=ozy,x5=kn?#| p =1z .UӠJRbݍlf1Tˆpy ^&7D 3a9s)hkoKRVVnXcBiH BVH?$Dخ/4@-vGMUE_mB鞠" /tb4()&m^4^8WU7x]ʠ}y0f2)XA8Gc4M(U.cUXqMo܍ Y1>:Oo'gQlؚOKL S2GJy B, 3D© &~T2aJC P\0IS/cb6C.H!ďa0hU+N@.1GiO{JrwwΙj7G{Sxѕ-`Q6G)r=pp0pBLUb: i6d8尵$\Ú\4;pu2kq)GrMHGNJ x d^ߐu^4M5AiN00zoa= L12"ߌgsܒVCe#Ĥv~q,  3)lHEXިL;M+L~EiOo˖]*kqFbPzQŧAcoYl[2 Fm 1熙J5%Ɲ/1ݳ4!6#"a*$2@8xNpNdIO/ƨ 0dJwv?5$-LTN!wsM;I<~Zi"C.?u\?ݮ`QX]$~fVCB. n UVp`I0lF]3ʭ84C qcMoz:YUqw q}] ݓ;sX=ڳhۛcAV0gIYIy=}nRU\UE0 g6Hc(&Xaa?CJ58} ajY6vӥ &m p g#S|Z6 .g[Y|Ln sؚ( Œ\ ZΑI:F.YLe"p2H`5xhWgL GLJv_ThB;ui,C,DS|sƅRjX\+iӥ5Sn_kb6K~axRe-C jj< I_'O ¹z8J$kxre-Jf4y唴a;=XJnU0;tr+Jn3.&0Gqxk׬p5XJZSTJ:>"?59~s+9VpA=AayV1PY ]@nkgS<*.)T8*=WAZXğPC㰠HgPg+ul>37C`Wt!wWۀL j#(bLsv:cKq{%a׭iSPZ K}{ItN7!y 7֘=~gMpVe_ڑ6t^ve =iN/Cunz d:Rl|!+_+)%K_k=Xkd ۧIi*/P%i3?HF!(aAdD+58]QfUW0s9ģT)CM0[~IK51𾥃@u~8bm5$ ¬JGK`'};H>T+uV 8?@F2(${t#dn!TƑ?d6ډ'B­Jgz$~I1P 2jIP@&316iXx'6z}q/ aSICp2朎.8흱o*΁6"<VSo!-.ܾG0<,At]>tˆzsi?r cﻦi fCI }@:u@LWsGX;bMMίНe"&u-%idIS-j1 ]y'kwP$F]Ʋ:c80irKp$ge>*ܲM Ihe.D3UJ.Wtvrޡ)£ 0~ PŖIGZB,_2) B˰;]F`"EBcv@/ܬNxaYؠP %oȣ Z9/ۈ:|CR%njJ2pJs)ucYr'yP'6ڞD ՗l?.FO?t/CN { VkZb Rx}rثeLʁ8&DB@+zZXO.GZhͤ;EggC䦲0ڴpiea5T8^:fσ\\uRDT13GKdt/J?Vi2bmJ ,?=(y%wR#th<_ ^I u*`M:#rve[(!j7G]1%Ly ݯVփ Аk/ETx0Vkcs1h.Qj USU! t 4$ ahUZK$LNBu#]EƊ??:gIjLm)*gJfi}% "(נ-d AlwF|Co8C"]ߟ`"M&.L0k~5`)~]q> qGq:z~b@Ae 4YC_@ FIT|=,۩1j9Z 8@ 8 ܞv-Roe|EpU>_tɔR){X?Dx !zHaW,IC-Rj?SٜQp 9/3`I8`z| !nŊA*CYELy>9Wipk׆I1[1@]eo0a;05!0<hg;RN҄M}#KI,N9^*LgdAm0L,bwQGf y *%ZyE jo-;&A雓zw|G_*ժ*_$}_ xGd?a@qU =A HfZӷ8m/!5bJlD8ycQ+Pj٧J iL_ gӤ[E#WEM7%?i GGT >b8-M]4:ǒ*I0%N08y"i_$'7!"ZVo٪[ŀѭ>$Uj\CAWcH5'<'EdR [Z!4{<ŐܺĔ~djvӬ8wFMlV*u`"+fpI@{uAkhpm$L^~Ƒ{(PR"f;ض'_9&K'p*v5rAp/IQ+q:d2 d3r&o(Iů-UM L9TBixH7ɇ>[{.G`o)a}A*eMߗnQ ]ިy٩1z0[m>e[4*l+JOC^QKܣ`.=tYA^ xSbO">0q[9'kPu XYEVZiȲ{[; i5g`%SFA21Vi)sdD@Z%y`YpM7 h!/p-x~']U(g,SӶP$[0W@^!Q `Z`g>)c x=Uȩ1/,K\hAHF\-}SYU)ve E(`hEfep%Tw&3%ZN!II[rF8A$d2:{˚Aֱj&f%{iTJd/C1q!]g3CtS9sҚێ%'M² s2-Zgzۅ2}:EipLfmv{"S`ykPnA4gxƱjgEHF@h‹ѱBya07Ă -ҽV4N`buB|"!ye,uc]$X6X@cBpwܘkA B;/Vc{MՌQ2u\LtLҍl5/C WS>Bܖ\&@̱cv"w -o;u<,RmC \hs+]kڔFM1$ܐ[> 61f0Wfg]3֚xfed]1%_Z4v[#vCW2S͝7ZDrnas;F[&0e@G|\8\ٓ?sPz=1R0x$O9(aU8&8&AӤʿJ}kBޯKBV5o]S edpZگy A (`ä/a XjwрQB#y*A=f~Fd"꘮8?L.PKlb4۷:M1}Ft}Ob$Sps9tϧg}Lʊ096^3A?Hώ hp9^I|$!zS[NL43A1'0 \@g+awɩ^3yA4cԋ\Q\&C8OpUYEmd$Ö,,tGCiRqSO]@U41 mקPaaP4>xɚ/e3`P)i~/=-I-P$XWyܰj*#@VuO;$]PoF^T?},^qB76zfo[ݳoX|]|;8|zX8ejÜ/ "wq }Z(#QzZX_,Zg2a⧓$s1ުJy6PYpGQpKp`p&yqtCs-\Bp1'?[BAhQxkd6|I4t@>:?g0Sw=}96=UL¢apNo&.Y]4 h!xn塴M`#X @@>!P{`Ll8{1,TP$&] }Qv6]m'a9ycU+ug[bHc3|erˣvk cBbtd=sYۉ| aS12*f&m+=44C^(={oN3Dӫ>",4ӭ4SQ&(DѲXZAO(tҝ"*v9eH6lOh8:0. C_7N(vr痠3D)qS(~P#-_?g%k=rֽ@߃gnYSHDbaRӇ̈́KrU GT lY,=xMLw_LoQ-L*4q-d2^1kغaǨ g]8_wNnT7rn0?b0L(^Ф|b;ަ0Ep``_Q#(c[=w.!)268wl+GY|ƶx]N/l_Bs ?C`hC bU&3^IkXLu8tO=f&cpX<2p,iꔦh!;v'8sUQp"ҩCh0` ]4Zx^$,p>,=vf/缽t>U6">*ylE_ey8ubp uU qbiUȬz,tLPSkҎ-)PEVq@LKڭ̗="SE]rxǤd,I".sCvuj/%3`/@Ls?8=#."|;EҙءJs,d1fhȇ"5,,i.*_q64z2ʩДv2]yTiy<שCpjiRp7e,k<*v?.ѳ|̗1O 0y\k1NjV4^h(b2Xdӝ^a8BT\OԉH|Gm磢N >^(- s:+DFO?<~lb})yg'3#ӝ—F) n,nFIA[gEH@`|]&0XN*j 0]xM'~C>63F%<|0WrhdUZj1^EV;eegGߜ A CY;9ی\ԩGn.A{, Aϊ}k̮^ PASƔ͞wȟd, #nHVjfᅄM.gr_4aTCIP (XA&™Bݮݾet7O(S@'VT4վ%VH GNՔ Y2E$4&N[e"{t\x }Oc8Bd/z_VfQW[|;n+N)XsxELQֲy2bcŎ,K16|.`6A@ ?#AgHhlcRXp$f[(ia?Ńj%IkrQ Xu`~H7]>IF u\ Nʁt"*91*5Xabɘ( arkGkB\6CLMzZ!#.3tuGm-h̃)+AjVxaIM\vߥϏXCVaJ`Iʠ{ӰEԧ[kaM”4WuMQ[^וؚ#x$nLMO6Q`̨̣ 0T}!dV58-,1p|]xWkůk) sі鋆}ɾJ@Tai hfW9JxIUbЫTH?AP)K@GK>֩Rh)a[Z:d=<1uN L7"PV愌,HWKb*hG~S7'N4Q2v+eW:?2GeU_5o53EPfݲW4Ҁ:]㔘2~ĝ(2KG{d7ނm̡_ke-I͖r㻱RM\"$\tڴ$+l>hU u[ITL9a *cT"+ʋh//rp~Ǖ}\-p*/OAdL^ac*qZU@sk.J|"; wwANl-+; % tR;eyqϬ)m'.1Eqgfٲ⑥8݋aVEÈ^ۘA>w%R>%0mӀ\W"ijR Lzi|a=aU۲D7Ws|JOY{)Kz=?^^vcH783O.p8'_^2>5'%Zge=^ȁiB0ډ{ȹA *a hSqBA[)0VcWs#^4x x Z̨3c 13Yc>A<|K~_5P2皦W2vltH0M<V=X?"ʈSAG' 0ŞV dDhwr֗sIt,m9H&B5]r>7C0b9G!tw`B %;ly Kji`ᔞW Cn`A|UeDyQ܂1ҾdTS)ʳ&!}W4k^ ASU w~PS ]Cy2osL:3 ڬ E'ʫE?Åh҆*mZXhc X/x +," aWL{l(cs;0o(G >'ԢHQ`֗hl6rL%B )5j1zW"@d“QW鮀/k4J>:. y $׈SYo S0|$x@-:& 9sI ~u(T}b/NqH ~9 ]{|:>?()i{S݇SKd:FE `RQ)݄;a<Ո0 !#Äo\&=kn!]RA@N"]]!Z>[5OXrNSZ`UdÙ oRSMK?a,S1q ftePr[RtVC][1V%l&E |Ƭ9u8[iB1Y&7Np+WJ!;)+ҹ)T?&@r&w'.8QȠ>_iT^Sg;C~*}2AS֓Vn9!ôųJL9hTPk5>p,:ڌ^3*ħ; AKY FY{4oXyM*]EQW:H1PU# tߑCU{YU)^U%C[\ c@< csRɊS 4f__>9Gr׏bzcCYdǜN DH& 4?!ZJ_λS\r E'2\HX)Z1g2 ]zRLR6c&VgϮ<+霊b)Åq%8~*fAN0OxT! EqHY46wۥ=yDtBtuPQS1Ti}ӧ |GKV\\˛b7a [OA69n;+?ө6q!؊<|QqE3U%!'kRByk0C4AG8gďlZ+gM(S<IaRRx!BM#xjH;R4wܱ~Ƴ2H&aM,LgR/DC2`RXb@͞pLm[U< XnMq悒0FJHvg,l`RF݈# 5mI&pg V5 "@gzZ9øjG u2}4\I5hYgpf ]PbD8zORt,-#m;QLȎ"LLҘ`"N&#2g ~WGqפ*X-/ [aҼP XNI b?^CN:\:'Ό 2}i)ʊ⿻7@m&6Z]P띧3.n-dGG;g[T,^9a6 tW(R TG*ѫn-M0VSϨv[ ;eN`hLq%96c(ɠ/w:Gٝ1ĨbBNR;#R T6bHFX뎥:E' =ɨ^SʈdӪ.`]MVЈQ)0:/p*̨P :YYu뜫~IˍP:IJKcRX*L=^7N\˒Ks]or+ϊSÏdlQz ߕ"33 )t-]fA6_|^:YFיbJ,x鏄 FCpdWߌ~͗7غ%&bZY@`3>sLР.h_5^s)ܰF9=*3j3x>K3q0+B\CJfxAg` gE?kiz OSGʩl~Zط'a5;iMvV|CX 岬19| 1:#p‚63)"!kE(/i'o/'dDUz٣aPo&@αxŕ@跀EBz g=>^ՠ &G0EB ENcv@8 zu-G/V#Y\Yv ~XB%Kg5e `tˡ2=%pXҶh9ms( #8lpSW+t|eXS~GSuzV2Dgq:~LCDk92mg"Fj ~PS(C>Gib4h(:XNT Ҟ.I,hz Hگ+0AtA <8hcKaE/!I%eGUc^/GgbJLlZiQ]Ǚ?/$섻-k6 a),AL,TS"`q}4 5kOBjeg8ciec/pw0eV.9M Ir9RlV11,D~^b3sA!l8ϵʹ~LqT 7 tJV%CL JI_3]v~L)qz-Jjo!)=ޙ u'YJ藡?**^4`a?pųBɄt qӡb Ο"l3XA@v1ܮeYRzg^F/IJ#V N8 (' mO_ϴI_x Gz2=^AwR4ɰ;R:Ѓ` nRɠbs*H5yy ֐"V?BX6` =_^xKg :IsH>S/c1BiL-smZT#ݝ]L`X0 7}9N]%9A@s1<#>^L=Ŕg7n% <_-(*CuǓ4%!n0}{GlpL ,2eISx&G{O[ܽ Tzp¿ld럝M/2)+j ztCP rh0X FA&ɕ7F=QFh:RwH!w`ܸr0ךOEZhshu1c R;߮S o0")IJ&,?'Dn?j@A3 K}$7 @!o/8 HP#?aEjR_Q Nl]/} t#pӅeGpVz~i[v09 c$c+S`i$36-32@>b7aL ʯTȪ>2Z4awd:=!z8Qnmw0{N0c/CZ얔U'(޽fQªt'J DmYMI.T,;=VvrCXQ3^Lh OB_A$aS$vI2#ϛ$bou>-8r Үs>ܘGm.iέ.O*xn/= A1zj|U'Y i~$a7#PPΟ<[6lI4clf=L*ia|т;3ȇ8`le )$S3I\ӭ1i6m}Y;a1'B揷rp{"Ն'zE1Їn,f"ߕ+| B.5 f5Yԗ9WOe*!}`Nhżw-쬗گc`,H'7/X=xO~'iDb=-V~\<ܝĎYti0FoqE7EƳ\Mѽ@8{KPl%y0$M k!O>aD&($Ol (gSA2 'IrR940Aa'p6y8ๅ .2,+6fERY나/[Xs,V!^yww@(wk dC@sT:DR*O`4&{}FNRG~||5R!e \ ADQ.T8UA + Dml6[)3϶:+@1{YM\(jn.&Tn2Xf\ 2Zs^uuqz25Qh+[2@,!A@/$y[hWUt4=)!WL~TT.iY ɯp>U,IaXD+"8 )M8YI\+&[/[i?ɦGU%kOSYfB \25Xݘdž,< ~;g1Cٽ-uЮ5!ex0Qc61DؽvKrf-F"x. \z7,ŧWÐz$| LmJ!b~ojp(D>LZ~W?7fg&H0#q)Òm4C_V20`)6t5eED @1vu_ȏ?Ivmq,^UeX52f;,6&xNk;J|]ӐQ0Cz kBjz+|ƊMmg"B²;![)t~æB }a:a8sI8 XN@anXHwK12 rq#ޣ~$}]ڐ-3 LW4KbX*wM a|`)mqI!.FDx[&@<2l=iT:0_$ae`9Hl*dĘlէc"|zGzE{-Q!)bs2I4w ^jdW9&AIp0:C.'J^#y(֓aröӄ o H̩]&c.104aL(;L"mt S@hfC JvОi<9+ւGM+ u5SVDt.E'/^)t9Rzd)>ͺG%3vc gVVUMxYOakH h/v U}gl|XDjyI^[5-nX'JPM?]RСقz>H~J܍M^tj^v|%CS_;tL(gf**b3`;+J {i֞0ExqbL8 :Nb!dR2#/>sd7Ȏڤ*_֜J&rMA>i'7gy a7O1|QI*ߟL(i0pWL 0kde!@:4";|J 9r#dڭ87Cjz4$B3-xs[4OЬk rxA hb$vB,H[J뭘=Q 40YU%CKѿ5*ǴOtyV80J(4)K}#p`aOxz$HW˫OKw36"O#/V0,W,[ Y3}ƥ2,eF-Y}X]V\⪂t"pPd򚄡xnfϰU-$06r}bz 4I(swk,x+$@ad8VodDHDWZNBu d_E#1;P)%φp~:p#ϐ1xj`nE8ׇgD4 D[Y+0҆,!6(c\LMVC_\XQ޷G5ipfBC">ΎC8]X+]Lì6S _e|`/uS`tecHxJp;^M7*H eTjJ|-e@dMyP.ZKDm |chA.36Δg4:ړɔ$@8I0 9˅#ؑ3P×? TRېF#@~|Oh)V 0ӭ2UUʗWĄ# @/oa@W~p_׎-̍%$| =3\8dw[،DyG͝x$sn:=.#56SM"v% @6C TfAtҎim2ܯ|YBI!ml 'TB#vjodgQ*p$_ N{%cAO6Ɯ)g E}ZiSNa 1xV3|#zy1yږ 9*18cD+P1̩0pXޠe7L. I|V~=a m~BNb :aQ6Й6Iz[D fk# Pa!o-EZ@i(+㎂F 4Y"^"T!Oq{*&91'F,C1]{~]!wŚ5)zNoK>ԩK!h 6D;v#M4YvcqTtv Z#9?<3CswxEL1CY~ %FSD{&&;{*Yr\ll9-A1c/`S%5bimb3vq#'o?6AtqgGrOPfW.$Zz/fXƌ&Ax&ga, ,na:vsLMR$\hm;FzګkkM 7ײCQrQ:+ |VL,zh& Gh~äAt 0ya CHSY}>j*q?p/jI:-xgϵd%p̃1f qRgxhJ2*H )+j̦|w'[ʠÂS)x| -Ν 8LQ1Jod3\pqëlƚUn CvNrX+8+&HTîHgaozL\?E~xAZYn@,';kz/r&U=3Qh#(+r{Kp3,*/nm2IdZXq,"WLyQEZЯ1X%#ڰE:-Hz~ 12U"%krYA @~M3QYq_*"z;$#e>D#-pN3qalqon7 #dJIJfh쉐3T jյP9ls6,,4vpog<~ $v}Sk<e"xV)ܹâsx<#F:!k1WX VA;!Qϛ΍Q~Fִ"y־8*ᅫiG8NصO@jv$)ɗ_*]HJ;D |`6;ß8 2ɜE4WE`\G>4AVƮr2 -3 |Ml23xuת$ރ@l|o"p\)bbo,&,IyL0H?"f|􅘬Y&9CFbjSE U5,DL+fvd>\#|Qz&*+_ @i֟I P?G~ r+\/}a9wLlPKc4 81!Ul}i%t awFB<#A wjǗ=߯[vn~;ۛOCw5Jp*FpUv{;8WIT&V[-sRIͦUǶel?&LZ(*fȊ"d.j $p),Vwk(f/vn"ac;)gEt;Ii/0xA<,j(NxK$Y[-*Whyz\e}3ԯ=Sݴ7r:؜qNإ׸g}X#\VPoPlVФT.al P,d"4; _7_ӵ6="vplh:*͡c~eKײ+:1|*{Q /'U=cMgLT#ZGeMR0IDYB?TX~mMZ(SPȤnتAhaY@1%$u`#OKm4cC|CX!Rӿbg_n,q(%EA3֤n l^SKȓ]62olIK͕^V=>HC;Pq*a(%3!9 nn/k(s?ˈcBۊ Y.w JMQ7=3S ?[+0Y7`)gCT;]VP*UJmw-HT1k)ss k.Ae2%x4@r(^r9‰\mo}@\[p`FT(5z' d]Da okL.]RjհŻx, תe>2+esb@q3,冗h)P8l!|(4H{W2jiyYd'2dpFs$2 ψZ(W5'0;a m3.!Y\!(lcAf5^O@.EPjp0UАV^Vt'ǎA>;[_^lƍY5? %YLnݽE<h2Dx `.`?ZQ*hה,{1ɑq+^rѢW:d%檰R)G!E(f'2a/f,h=Eh~%$S6R*Q3>0}"O7\:{ʇ{,# %U{^Қ֦J%+`A[s,ɀ`媇tupk5u ps]\;Xh#(qXcXJ0'dI}Eff+ j.XbM[ɸUnqI4v#iҩA~БysiGTdb.K]v*+}S ?jh\["83𪗕e.SN{"D#ڒw,AcɇzHi"28}֙mn((^(A<3hM-)R^:Q. y%F,ECy qy)޾(55SUaVs< ɾQ9gnp]8t/4f\;xdx:AD p蒐6)Sӌe0Q!?’S&Ȳ㡃H oƒkO\# `w6I_oJRj\|>&`:-ƶET*_&V_#Km7%2D]Xr&}5p+Yy>+d0Qe}9G\\'\o.n 36Ef?N1Z%Up9, BI blJpiL1OK1Ox7fA"t@ -|(`_OCW0)`'Ǝ)'U4/Qn6=PpcJ"zRr9<?4 4unۿI֙%2?8z~I]2)xUz% 0UZ7 z_!f 4< w:"r" ysqfc' c݃sj_i@FCbӞ)CbHO_OTo;Bd\Ky1YRX2a79  h D^S ~eR?է[@1N|$}~V`xMJJsEтmz2LM2y"4EYǭxV:!iWϋQ pٍx4_3?6<0 z6T-jd'ðN,*-s) h&4xL:]s~L(6|R7L4M=F#A,."lR_HzLnQLBQӾkD0y#PJХSr<5N ߿\ʣ[sB.ZZtøXwPNg0%xbC #2Z9vV p):QɩҐjV(>0F /ؔ#7x+X"2{nH|Mu]̹ txҐ⁗$lvh  3e- Sg -oD^'ٗ:xJ5,: xÈ] Nn`e32`fFJ.E#RۺpHfW3ћ5t-LKO6E_(MfɐdǟҗzJR<` #!%cX_əLoq+R.]RzԐ:q~h<FC~˫gӧ.|,c׿o bT&Lw 2PB{wpT_z;u=xIf"yxj H`* el~o,%"<ұ.`s K;Xu϶eޢu։\Qk%Nƴ֟!~/#ycvEc *՝3zq4"0tt'0U5`8*\kЉ<뎻_MQ}gods }7f ͭ<&qQFZSzP: YT0Cb xA#!D-&012 z[yqJv IV {HLqSڢuS:Ѳ神?5^Y1w\˪-NIdߓpr ąwWޥĮڮi˯ 0m&kۄECbB|$ {,'0/9)RV%mԚt_j:mrS %=;ɓv5A*͘FQ2}O֮9R|As!~s )6ۇԻKJc$|?T{)Ʌ2_!ƽ)0ь.B?x {rS ={A~*q8Hp=] -#6(GƘk#d Y.>aBsΦB4&H7YަJkG 9 ,1Uwro|Yi0spmrtgIذόo1+Ͷ`b$9򠞞KHTh+E#g&="O`i5VJfDM*餺Y3^}l^ -;O  쑈Ȕ$CggnDc2xa~|K'!ކ1:G'wtT05&+ ʺ3+ {r4'>*$ϬJ^MKѳVvgCN wlqFC] `NT>NW' drwKKS㹺Ovf@.kV}PŠ Š_six\5ڼGʤ#/,1Zsyؕ'j9akF*V{"\(JA Ou!@}.cw9(peҞ# }@O4sv::'^ί ou&@ x_u$`T ގĻLFc넖ؚUIZ/W*bH4;(iM:X#P3 T$~jL)1ײYl0iX~Aps*ˍ!Cqp=rC{K-B;;Jx&At[|5ӑ)"Lȁ㥚DA!U},;$1#%M1yumjE;qN_ |X`TĠM5fyO\a3h%mjZŘUT|CdIĺ$^} |rՀ `^rW#G{A*89C(bhoe>|\L-HPkmi v ?%Nq(:`(YѴ5&DḮmv4aE1=|+=hF o0c4Gb]guAp,cIOAf,)M䝝#o< d'"Ohlj 3:'%u~֞WOHDFOƭYzst=/Q`zBhnsW6#ՐPd#,V[1Ұs"nkIt{9oιtWl :|G,-MU $MyRS6Vʝs5P)!~b/ F$_2Bbm 5L^k,)[!hDXT.{&Q[(sECi]I i6׆pTAr>࿪J~mw頛\Ώ; p X4\:_ЦrD Dc l.fS^7\cDUɄ]>^K(3A8S#1R1IʝC|^]USC*zwQE#@λ|DUW(kpG Ld|FS Z[u&B&ӇS3[59Ru=s.&dVxX붘Ɩ&Tp=L\d W D=ď_P͈VPl=JoYnW]/|cG30a=Qyy V)jaGTabZ!֯rAEmmR$q4Pt]6 @-S]Bm Jv0ɜu 6Q`ݦ1U>Q4{VUωw^ N1S[گ,5Bm}➴n5oE!c!W4ToѭDcϢ\IIܒ0Ԑyq4=eMG9A7#g_$:,pFbn:uBrטݔ`SCt,|!: \)!$- ^ S(X2"]C=[ÞRgeA)T: jg~sLAe"2W7P'g޸+Ъ΁u/ .6.`9{:,/7#vRߘyc(QHCBRhDdr h/PTDۍƕ+wUYJ҇wݩ agXRCY8Tp>v1۲M:}? U 0mV T5pp 3NYJұk2]SAcM93Eۅ&㹵V$>C?űG)&(aĪ]d)Ae8I\{'KtMxi-4X{J)>xʬf >76ͻ;C5x 2 '0d u-fk ϊ<d Mif8xZ g(x{dS4h}WۋcV?5r#=ff`柂vd6K$CA 81&Խ'Ea>dF};dwNK $J+ 1:_-r-9׆UȅyͿDdB'5( R҇L1gu&]2< )C:kBkKU7vv.>ՆnGUl KAΥ_6>C$2|HڨWuP  *ZdU; (#d)u n͝tDG{Z=9zN3&#AR qΘ9?Jgt X"oU"ii/'l}vWgN8#Hx^U }9>> 's ht¹l!wlh͙fCV^=i18 4<=t)b,:f1x"_%akҫR Z.{@s|S6JgVI2*nrZ 2*KOW@gij̪/Ùce/,aƅ&ÄĚYZuxbwIX#UOJ7iͶnl Gy8 m`t0?w PoL !S8x>0?DKE]w uu ,P8v"NZ=ITӜRhziqѸ,qO2RB/i4[1חXj~p{r{̿08"tO&QZu4--WZ|XjrH^&kiYh|FO3*t-KO]9G/Va'}#cƓA,pk| ;E7d) *PP .a& jhL¼2lv< TT7iV sr1 J`_eJ )y*jՁ/b|GS࿫V] 5~C 2;ur^ްuK`"aO6?#0V|O˸3E p553d!fHRҀ5_uO$pC.ZNfp(@P<#hhNhz>p%l Ţ{#G1C^X˧N>bfHNK:| w2 YiCݺ]{Ԭ!]7EXrMU@FZ70p Qw, QD2pLTԼy}Ґw;W&2-mq(`91u,16n&S8cF)aPVj\" !Q3\(L'u^D5Mu$+5!O6<Kg4 D-Ou. yNV@Kޯ6f;FT@iwMk /KB\pYBhbKmvb^qs,,nV @=52yo5'* /  EE =*Nc%i$W]iVilj_QĂtY/D"/K _ $o @l 7ߺ"ՊFa}/ARIa7yegT\FY1G4ېe~M1@lBdc\JℵEدFcxO`J|+b0R'O7coPV#=}w}ZZ fDB "ʈP,Z, 52!N{$pguE%Vc0:^qL+:Pƥ"շ2,>5OoVqEnrq9Kgaɑvl>aUxh9\M_x̫ o;>B͏rvZ+O-#2 U,s0NK2 ʬrœWHU4=s!ڶ"[1ҳ'I0ʅR>Xtr'"ϫ>h%ه9Z&C:4.* /=+2>Ss'W-(C௕Ѐ oŲ/I4L7O1;!LM! x$(ݏ//vRƀ% dDLU5_y"zljU͑0F Õ?^̫qꠃξ8TXSpx}j*@阌I\Kf8+]6b~Ysm)$EhEP,e\R>w-L ;]THuT]Z2Oޭw%1xYVMțxcX8oOTdi+7ȩPAy3] Aq=߅ xh7AOX˯?FVA*׳jIE\Ӂg?1к 38pOPr<#~gµ:%(C5 @n{$΄䗧[lB$E FX߮t@?|Yk8TF],6L#X]eo௝&SuR8γ+@2 3jọ`U`ԥsDtl<^bDoAAQ%m)Sdf8i2+T7qi7%+Kw_  Le[!o$u2ߜcAer֩cܓ*oO H.yh a8st]GofLPv6r91+Va̢R51^3g |tX7RRu0܃-nq3oKn.kw" ct6/l; ޼~Q#`/L'p䗟0+!4m`qc./AH>c ::R3AX[PVm-< aXP%9Mv3#r*^^BL#e L"_=|QrHuO:^DwlP/L`U i4ߐ34 Ff[uym_#r> GèsB\ ;!v{v-`wkr-. +8ʍ]1\JM\;$>j~I?~<'N4ݎsL=x2& 7昺2*O?p}D%g`FHKzyy FQXKvI TKVvlbSei'6D0 מ[04 p!3}70cNB%}c{Ut-'LaĽ„]oa`;['Cz_f̵@<Ɣ}#ha2QbX-TLB9*N{d1|Ǽi>۰kȯ9_ɰ 9^0UNi2Pڇx3ax Z$11[ ") "6Dx5ˆ0Rxk@vA8-fZ3Xl܈7 G< m9vDq1b32^xl6˺m7tj5񬦴,}<\.4,)>a:/rVw5N}E>W4 -ڤ`y$C;"d}1s )\S!3sdaOs)%"62~2W(g#Y5dd,)=$BP׆Crug 35 şF+7Uu`x  c5BgkJ&>]i7O-y,!*E^GtσD+p Cdt 8@T* -_؏5!h>Fyɗ&PkƵsNI fٟ:^ DB=ANYL 3 /Շ=H*x;϶ mI0. c:>`P ZO0$(6\3>h{pFP :FkƀtN,tN'b bu y^rJIX{CYU.}HElE 81B|K=*&#\Eҗfߛ"7˴ވGLaK郃Y {[ePcVBt>()dZ(鼈'-M9.>8ԕ}WغxTN-6@I3B~RByWD!j2W^vTL,_vʣK>R5yǞ*c:[2Ҩ`G` T"-!Uκi#TPr*cLb b|ݪ$w8(K :@J5xup%0ÚQ{ҧPo$|20#ڃczE`QWmDN Y}d(2 -(hJpF*pypXtwrR S|h;0Ȇ̦Li6H*_8)msJO1MJMaDy7hu6TE}i$Cdr/i[lF;+_hL á2o:z(V:JMni0/}"ԶPVggv1vA?f?idͣrM2-9p:WWlQ#soHPE2ӼÞҚT2@ Rb\F] Zcux[V-'+J"97sRrS~/mž֤ }h[Ԍ~IHt<"ISe0šNq@gO^Dnb/La}tіsǷs{muSL(ADG*2Φ+R{:O(I2hӜYdd`Y]* _ GK*tr/܅whH&-ay[2zDnb -b'j H@kW]=?u24KkPhi? 7EXqMs'xY!Oi%ᐰ,4ڑD1>9ZbZc*~ Bxa \FWӉNsq tUʵ T& gV9\*xZXu^]}W<'Y\UpSKnN @LBH8JƒFx:0d2o0LS}[5QIbl]8қ 1LbWP<9? 駇$JlP_[vR,&X|ڻFޘЪ֭ C_*j[nXۂ{>뒝7!",#A>.nUUTaԚL`ԞD ϘP 6%w?|XloGTwN:9ѧg"֝0_ۺ %܏Qj$ Ҝx  pSeTm]keM}2e7[A\ɓ}ȡnQR{h(mBɈ람;wW|*@ЊI#2'4?asT:\# iN :T8֗ f2vyi=H: [~ V\Y۵%N9zu2ޢw^|1~K̷5wFS+ j =h#]2 S 0S%VyD&ӣ+eT5=@Bz  ҅4emf#rsZ] "1?2.F8?Z.ot=ґ0Xݍg28V>ۼ1nUԨm,=r9Ou= qY=Ͳv=ޔ"Hd|k9\uSfyLdVh`pOJO7#Ci@Vq]G(sIp,dV6+ (߫hhji3Ĕt68Pj a^{) z=6 F)Ò8 .< fDnʦE P7Ot]rc%>Fjc1|da՘SKOi*С+N)'S@*X2)V7jg;pjuJX|6|J$2U$x] : "<[re`pipIs0.玗r,!\`'#OVBaTRӢNRT}=2P:a Ix)qZX&928G٨%XscfoS*}(\\\)}O࣯HԅEg/rrl`Θq"c "~ƾ .q2B7}st'y F/$LWS>;-E cRtx bI5z.C4D_P<`7V=}6MϱFX=BA4PGs g,u[s#%~ӳN?>w FKtA"Y3΢% P97(=DL>p\xH Ith[e0!VjӶq_t IJ^5 OL3l P F@7;`}IF!-Ơ.y;#4 4\!j=Шcs̸A|ėa`f6154U ⬕5)t0R&e.ɚ,Qw\xxovMUݺ}/orT\8ƈZ;OϟH&LU: xPx LpuÎFi8^P`|/r<|h [Ӧ~MŮ1VA۩>{tɭ42X&b@#b/u?X3#u!s\OQ}B`2 Jhd2vaZqT% )j.PK뾠WW.Gz4gˤ*"jF0+zeZ/ł %yx. )i ɶsÖs`)K -SJfיWXK Z}nQ"̆~ehVr2=*p$.VVv3hNRgvı 栓i_8 =O#6j]7V`m;3[sL+bJ&l*p_iD"ҿuo'n Oa[%ƒo.g6ko'P*EUl׫B]jI` Y%dw~,aC(2fC5[W񔁐z#/Vg8ץAZƍ{̀7 ,`DA:J883~$j Cjg}QCcQ MyMĉ!j⟤F:'W8(pjIp}PfN!k1Dv/rY[ߊH5_30s]Íx7Hw-'0v rBi"Wc=?&[S2uV(THŷ9t=pã+m̬QUT(߂LW2)cp!^JF٬YaG--^VCڎF؅_B˽x4+~x.K+9;7w@S{!6vc: q!j' 41(MU K(H)VhS& kmTfmXβoqqM#ʠ~G߷G#Vf1ܚ&@3%oi Q%U3!\CvaVf15t-2)ѣԦk5Wa=jf1$!֘> (,:p@J5ES ᾈX?fLp[yLi`QN:J@&acqU;J7WYZ~y=D}z|E0-P(e&moZ*4+NUVjvuגe>{S3r"t {<[_O[uc^@u,c h"Her2_GduFh24nq/1B$=Fɒ'($" A)8q=BLXx0)@chE]5̋9.UuZϠcWFOl4pu!lTs] *ی36W)\3S.w4U)XRxc0ɏ.ʥj.N%3磟w_qn+%Хʅī+Bn Ḁr܊ tRy5DԼyj9DۘZǼœ".ߋp+Lw%%4]h0DErfN3WM+Z {޺75f(qHap/C]* RMw1Ӱ8nQa ځ2@>p͚Q0a"wkXWS}2ٚUAc!v5wی`24@\PwmMfI6U˘bbW̚i s\* g(v% MYʚ._Lc pWW &p/&m]ۨ/ `6+hdaǪ'0U !dS[(ν ?@vxe>F[BnW w첮5r}₫'n`j(%#=c!KG e B;APw AKD {p%D!ao;p5$ *ZN:P1M_ؒލWr6~$Y;t51À:0$7+[^L;fs*0vQp?{7 ='-sJ3)˄P,B`wuaU.I9nwd 'w"$KJ EZ!2o4"0 f2hUX}[TOo=@-mW֖X"kzXM|\?vEݢHs27 J1ѵkl\欙ydO;X2 8M&k=Xj#y@H~,f L `Y"CY5+-r΋8b?}-?jN%"D8_ ˕ Et/'W x* PWDkд^V{UЫK,%!!e=! f>5-fwd2~Ulz5oqk-^bOEZcI}h8`gQ_ܱ叱V J]]Z9w߻"˻nm>EoCvw)4fa= h)$]1ٲi0LB|-+J]oUZil{Vuغ3UNDBz'"$u^-DGK<I}Rnne_`C=PR5`KTv;#e.D/.©6oI9gy5'l1#=#y@$)KO4c'<)śOkVf"}|68GzΙⷖO> wa<ۄ:.L mOu@UN)ޏ x &kӴzu T ę.ɻ~i֬u woEf)*;DRNe$'sE{ڻ< I8{J>Er(bRd`uD18A@th/E"jHϾPuYcqT-V}/j\bZ`4>^ŏ4I/I(xp2 ́ȿ]9J./EBETk I6 QcmuЦA3ۧ)d|ptjb=WOTwhC=u6CAçc&lj y.ZƢ?|Q+fNRp˞{ { )VR<ijj7u:JRbi $ӹ:623D`' F_HSm`?\v W- *]#sKUܵTfN^SXI&uY;`%"X+`ژ1(\m蔇3`NJgɇ4JsOnnxF< J蕥}?x ՛_8Pn{" -JB4,Y݇}1с4]qoV ,!~ZfE Pcר,?{%YǕtOĈc5ak%c-A)@yfgO ZMNnmjc~[fO&ƚ}NDE3U &biҙy6xRV=[[sFQf;R=6XfڍJyv86Ej~Jָ*0nLl &(#zFB' M7/FW [M1LE76^ V` 9I` o; &=71ָ!huH9-YylppH$-8ce6Qܕr-e荱0">O  3|gcJҚH.Jv欮{4*A f` 6S` 3*.aa'z}8+q3d3otE.W=Y'̳KdܞSiGC*W3@8DX~N)>猽~!ΐ\MY3x% IN6%ĈGBY;F%ة,|gpY˻~yGmظǾzw~(1 BP[g7yneE#ң),^^5⯧.v7oW˛ʑuݠ_.EYĤ ٸ7C#M,.96ښrdsXMNkS2i?ٌk{ALt߉fѝyXumC)>"u_6 Hz LWA#Biԝ ; -HOO SF ԢόٔG pMu97Ji-G)o-&%NB8W6 WjNjƄd}b+rت%wˮb̿})ԄEZ{I7u8e\ )(}aS)Y!0̤1sLS'`RĵRYù$^|Ѣ=dLG FVg<:wd5~x'MΑp ƥAN߱*Tag]p[_OYMڛZ:Ǭuo<“ɿA/ڪQmV͌.)$'QGg &ҧ_uA ? Mts8cz RS`1`AdMNp#F+2.-E}|5+􅴛v&0У涋|wMiL y)#]WHr۳b:yi"lV<}3`{wfM8vad6|tUuOin,#zO\U*@i-/Qk$ F`-[gUuF|C>n98w8;A];R܄x"Iq 2w-0i*$5{sNJ(<yG޻23>+d(lJBjdZpR" '/s0E2>>PG V2NcB]J; Sw>֡I#qdS5zh[?S=3@`p*7eA/?cy&>/RNYR-՛o6L:bFRoM _|X?,k0vg?@#OC\ s$iJUW"=dy!HaClq1'$~#Lf3=Ô7PgP$rK- Ls)4^ih|p\۩r\1{|'pL('ق] pORRk)U0K8-ia_%Ʃ=(hѬ*qEADہ Ի[#uinQ̣̈XRu/*f:*/e) )Bs+>h"u{vh5.IR(j(԰Ցx:HҠ)~%-"##z3w3}~6?İ\0պKDc;u6doC6T5a*[6Ql-$X&BZ@=2QۃV҈ ϰgעG{ E"pybNj<C~P8?l.42~ vxqlw^Sc+yyiv 'S9YOdy|=O QTsf̉N4OYpǻZytIPɤ =9K)xN i3 .E^e\߶Zdq?:NP`k̆lš!~B6S}_8̷17GVDL$2[A"$Vq^B3ž3 \#?VhIRM~Rm52b+6'!$`笳e!l ^hW> -{u|w_m!wKЬ}L $͵ ӧ+0&A[7н"LʏG07- b8lb2ׯ\ʶ>?MGX?gG`?~ 1Ϣ*<&( v=8g [yTpkQ)Z:~ᙔлwsO_fQGqg '}$qmZ8,K'S q8Li /2KRI/#iE<$OLs 3(p3c@U azz&A}7_cwhh[UVq , 1'x*{VɔT'=A]L:xŗUSX#38h&{ΥZ2AwޔA"c52gN F"_*ȓ.\#S0EB+r1K֗Tk6)^HMG9=^ʠpyұ-oL(#uQL Z~#D:ޱ|͡=iGPTK655TPRt:a~yIyԈ̵[**!V*C"i w.:O! j(%?1?PЖfyo) 2 uOHl/=<[ Ja1EӸ% 8Ș*Ecd'|֨`1Tf}GJ:OEjW9G[4ˇ:)hBY$}񙟘9$J+mrh2kqZIՊvf8"3ڢO>( Zyծ@wvJoL4ڸ03he& `!cݒ\0qz청&-r곕$ XZdf؄(9)%X5G [C_CV `ύFpv+n.tMꀺH6{IY|jWzbzoK3J71R խ uC|أ .lE|vXFʙeWoU3k+dR(heo\ZEgpԞ3S(uEu@hȨJtb,(ԍ-ǓFmi] emwSIES™%c\2櫮(G9\P)5%^=X)ʦK-+TrTl2]$DWHQy.wvR^t`~hC;8[SY $2)dy*j e++[y9X dӚdK,3H-=OLxNn4G9.`>vwbeSmdU+̪#Ƥaڗ'/ᏓP9BHc  *Un%$ :&1d6cRO6 11s;:f hJ c"k9v1/z{)A(|68UPnxuyX|6z@$IJGԝ8xţYK#HeCNIsK0#3%踓縟:dq8t2E )C,%r!;8$HNe>bTv< (e3ژN*p^ ѫZךּ覕Zu~^h,oMkbH஬4qwv12n^fT皴VMT?mOQ ?L#cj;MGb7Lf#;8Aa|9aqOnp0QeB{,sե&1;ZL㥬)O}!YNX3T>ߧü!F["NH-@51cJzIEuHI6&^1 Nc1,^6_v<$:b'lCeS hǟ&l|ڰq<-H=W c4*?z+v)R|0ܓ9P MQd5˚գf$2e"-eX)o?z_o=`wJAz42h:@)Eغi zt<C?UIaMԊ0TJg^35.o\KEd眨Vl4FȨSf![†Sx]KIܡ{0K9'!` )xm"=@ Q:a(4לV#Um ӑ}JsBp\u lO{˙bl&~wGЍO۠hS̺}/Ҁڧc/R2c))H3.i9l;R-:#7)bHD^}<,Z n8L~x!ueN`mnh~S9IQ9zS"6{ @P?_R p!Y!LЇRI-qXġM"D^N5R,s21HdK-NtԸ5 w#Uv%OBR3 NYAy S$U)}c)y(IiܙӍ(Q ]I C1K/Hx+z,BhT|TET$}S9Cw,oVD` H@ ]c7?'B F,h/b`vjMa;LHH%i=ȥ P"eחjd;pN+.EmU!/4^YuOUyG%Z "XHɤg i0$rӦ!J+o0|ea׻ָ L0qx:}Lݐv_SE"4TiYyՃ&\וyG#D::j-HElx.zX z+Qo PQI[G(<{3^K^Htn׺~9% o=4}KTy0&:}W:fL?ݛ26\u`6R@އPj:0*(z&oWLُff% 2un,t 0F΂?8f[l2&CֺSV>Q} RZ50T(;sRwo`ZKQZfnX|T`hVRr1c`lYսyhi6'FlQPY(/I_ O}JG@+Y6enm1!Cn(OLF9bd,|Nt +%g8vFG?];C60:cSdyb@F5 Y斗Ot{OG% @a03D(]ǚ%-xAb>&ih%IW"!Ou mE&&d+472Ur/1tM _TB|&ESwÆn%gY1Yq=]U ݰ4HTpc*N+^*j mbnْ'i_k-9dX̜Ѥ 2N0ᦒTFI Xr8XiK/@?M_L1z?OThܙ.ƑO4g1/v@6Z@! x+j.a"J+i X_7h[\+>eWU*]ӯXmبN~iB}dƗ>vo0|G42qH/Xbƙ2S8^2;J2yM3/XE`)B ?&Sա]BKw|u91>7=PUt [bR:qԫALaM'.6P'>UHvb+3NYHn:=w2( ɺNebsΎ+sӹMSG^g|  V͒_-"]dS[q'p)TALnP<V9k)KX7ٙwBhTtCB=JYѰeg=2gJ47SC~L'$-iH-HD#AޮdaKFA-BeN0Q*4%*΢'\M{W,&j =@7Nb8'5XOT.|8aƀm1VU?>%j(Dh7[/7_Dxp\JuIoUje\j+}naKŧ)tÐ}krdЦр^,'<"b"5]]z*8WCZ&Xɷ9gֳI_x]5s-g0akTlKuEB*;rΟZVM_VlcRw21 < 9q8]>ݏ1- w3x `.b!\oN@ji…\Yp+S79Y! a"8*ʥT{zr גt e~'˸^ 匪kPa&16F|/5_\houeG߸U|o)晆ilӊhӑoǕ\5hI˕QcOOҞةs-"-!J ;+nƵ) |>[ Xf$(1vE33 %@K89)ʣ@ @Cr0@7q, Yxi9l6+FrSv~j<Do$検6Bf,u}?= ʰJl;%Um6P.'S W&zI 2ȸ88PN ‘*q@dM̰gzrѾ;JX4C$). XB ߔ쬒[ %eP ZeʵnP+%c"C3Y;N&TC2ϋ4'4nPv6q ø^ s3Fp)Rr!XZE]hF#c-G4–Du C:8uBʘ_FUX%p{poK?3~z#6֞:]%Tޭ z V hBNl!>jTb.6傘 vH\ 9Ņ/tq *&*)6DkZ>H6՜8)cS1`fD54psԱ]LٜȐX2e;2 `߻ =C.)l pؕ+F/ 7.2!i E (WRvK|O%C&7+)E1.톘Ly )iJoǗrVTF|i i0gUv3E-!9#Q 9LVhʳR14;M+x\z)b1RVCoz} GtP9B82Ъ)iɬrⅸtcxzǸ}*݈*ÙdUIxK9& ~5Xbfs y4vTcda7<k%\%*a iY(4+0|a7V*74]!=$2\/rZ)`2jJvrhA9y:j(Q^g`VFiSf\1UsKA"[\+vʈY0dˎGvmS_1k\PyI>!0)׷ì$?Dqu I 0; tĹsq~:e gV2wiB7\ģ{DdݻI3AVq жā,:̧ ~ ۢUXmf/>K.eao51f[6fNHA| By8;:'ms; e|29g>~%o^|yoCzym'7%\~b|igޭ guw5੺+ bEZfq6^9RؿZJ/\7sJyb5FVbFDx"LQ2yR-Q%eh,ch/Fpɒ$35 n o7ɐzWQ]ZE^ o[?cιG ўmNڰQjX0e  h9U у~?|+hC&19ud++[v;6+(hO96=k^it+n +iRC$KLÞ0Xi9_'yv\~VCMGlWT]YZ5m*_tv-AeSEbVl_CИޓI*ްоcw/O]u)$9,SuMSR$=R@LI&kgTf*Ly_'aFΏ5y_Ab o8w=i'\puy"$K{:n_^9]ܐ`n+ i-}RPz.$ :;c=xOT'V[^ -hk1Q JTdʜpNH*'%u$R t TW !4<0z|ZF(J2y1EYFx\.f6^ ޘqX ;>#"$N#w8WYf, ġCQ6+OD!}HKHK.^1R agBkI&߅f^m\d_l]Ī:󖏇z$i1ǾeDo)g) o u{? Y5|,; ʆ.Cj! FpCcR??8Y$INBN7AdyJ&~S(;Z"bX1U*?+EsïT"ar!KC+AdavʹfT1BNhWFiT,Y҇cxzJ8H耕jCO kǸ)4s[ >q HVz1cq6f=`;QK$yik~΂~1ɓYIx/=[R&Tfl 5-)7iߜIT!8<}£K;}9RPq֋9d= JGcu:٩лImyEk+?! ҷʓӈhpD]N0F ǷX~?;U?) ōZKNMӸl`Tm C ˦t=XbQfE5xv_UvkVfgZH >L >"ҿ*kjd|E=U(Zdxzca~_xdgo1 ĝpV᧴)U]ByӇ9?`l5i9ris?ْ'1?/09+.#[dsSv ז^Ol!)5q68 )Ґ#FA'@[%U$jփoKsd*%edK(/8c Oόpf>d9Iѱ2) t"Pdr8/%|]̣E.a9161A.[@gl;HI2dg-f.g7xE ё}׀HT15:c oF.|8EXǛQc<(2LvHP,pۑS7fU?#=% N1g]gMN9WM8_1k檫<B>tҿs^.Eh.=X-` p}@f QR;;nCvqAI5Hخ2h :`ܵʠPSi] 4ynEԆկ0%t{N TG-R^n%1(3~jUz 2U1p$i19d$F x8 e\(AF%MO+R?h+KBu˽0 *I&P(xtvR4_wwd%LA,JiYB}F/ұ{UB>.i3n|; 8LҪgDB^ e6;0zsyA'ӆ9RbILU5u )8h k.l@բ%}NG|ZOCo ^LUHE-KpFs]eRi%eY'r's@5RtňSkD]8ں PUTC5~,opjJbұlb|&&{8,+ & VeEӆ͓ sʹйl# +*6~zG!̻E/z^;Q[ 靬 v+nfV/R C[A5hNIier&5aq(Z[é+ :aU5@){JRvy0q/k{.,k˚w^ʺz"*.pfXH3xTLQXљQ PNyQըQ iuT`u$WVUUe0M0+}ZERz ;DERvCnmk1ߕ /KĎ 3w=l 'A-?6 #p,S}UO zƁ" &5dzmP ? ?Gjptb{^6QFcVK̢eEd>cyIp~|~+0qQk@ C8p@kc3zh=~tl5㽞wsT_4:B7^2teP6R.tnw)%=KV~LA.fiY囵9,-&QblG:&<n;y:u^ACOp:w뗃,rfsz d1$6G Ǎ#,)%̹42kѨQ7'S^{Mr X-9/X~5Yw[c p] W:PX&nyS_tq%N!AWSI* fkU)Rc R]m8'xМgH9wgMF4D`1PH'_Bڟq/j9V})nꈴEI?'$iY20!焸Y/00h9 D_:lSXI ٚSn7$ftM J/ؓ!a,tGL*o0\"vb{3iUݯ Τ_Nu\ (%=k8'u#4Sflnq+ų^ H*PFq#}#Fپ8.TA`;{âmMƝc)5SKX5ۃV~Pa/t?mp=v4__4pGaIcGn9-Z0X >0,o4׿Vͻ\^GH$HRͧF2U&qly1`uDϙװ# NK9:o1Z3%4/Lq(E}%yGiryUdοSnySb|Y>?``B OFE iIү==bt-Iiۊׂ kILユ@ޓQРMEx]+Z-g fTܙe cӠ7Hۘ :{MhU0eN#?[gF?3J.so B֎FuXzɌ sAq?>6 1/hY^^ <a_m'1neIx}T\#&V 5(j\Stsc ]ђ'h˯[N<4!=1Ԁd]:ꅂR Sx[tYE)szk((5gC<):t rvO^Ch .vOJ^~\U1SZ wdRhFYoGxjUE PRdJhڧF ԫr=n+pOQvħw J.|C@ 99n@p@+?sGod'#5mꁈQk1G L |:đ/%~1!P,tnGQpU6$yr'`2XK1r/(ds˝9\<toM1Nz2NۿץoO!j&fkXdeЁ"=,K:'JʔD*pT̪1Ft]q7\H5%\ 8yX5_ U< xը)$uFs6^QO(C(Ƅ:f,ILZmjGX w;ߘaņÓJKK:,H}K_Nowi>.Kb2IBF{xo| qLKʚ8v)n%jo'bdQ޶+/#RT&}tX:0MGPY8'he1+mrT?:dVXO4"źih$~8&@ @TMQ, Rl}άri47E,*x3*HYp87$g2z]w=׌Zϊ˅m'dbhuChvG4u%15CjsZ .(ǾwA#39(dLdP2 5=fc_JCSdt+&HDt&mB')a^#l_gg_ 7 3X **9J~(`y`UgOv~MQB{:^ bԷb$j-ѤIFNX?KCRn8Cfl_Fg񟳯24E.Ukly n؊a.]K9"QTnf:&ˣKnk[nn*Џfu3\HSZ !wHlL}AaJ ]m?v#fA7tŤ`0 mE?PˊWײFWO+.x0!6Cn c167 X,IhD~O] ; Cv.X(8X,!mܣlOԎ;|GkMi[szjRkrhgv0/`( gBA+`fҧڦYIÍuO,K3*K{= Ӥr~LOOLfT(<,=$ב{Zө~m11aSn"qNsuIŗ &|b5tʍ(r:=Z|V,k e:. xu!Ѳ̘8L9 eD` xZhaT0f2ͪrpuഞ2k:ux@nԅf\#m49{aP'zȫ_LʨIsx*ިOQ]jXvUg$Ek" sYFF2m |bY ВfG"Gm)'? 'g"HU"dfj#V3 ?h#e)Nɜ.sT2rW`^;Q 7^[R~buc=:IC*,M@t8d5`8e8-JT+ %ypu^l6T w1B q-FGH[0Af^YSbg_ lYe<b}g~Tu Jhl?Jeb:9~wU |/Sx&CFP OCE2g,C&p$KDyr6QHmĄ<%Zifz>^=CyLGY䚙nbE$`7B>٫5ubDqMzs^iJ^ 8}0jo듴?D- yS34)-߽u&()Ǯ%H4Fe%hqD*E,]wu2gNҖDaYH`t&\\&s*X#^j^u~A#R6?v#OLI1.4'r:MS$P֟_&y5ܩ i&cϔӂ~Ր=Xi&h;*]4\kB1QT A  fq1,ItGliˊ)>Q>'őfh+u `&l XO-2\ŃG?d2_cr5XI9#(BwpgD{;"EWD NV}[^>;b^0aדtzL:c Q:E_ m3Si7O>,L6b+[9Nz=掋]XڨLf Z<ၕ7c)@k9/gpW5i#a!&S>RF(OQ Hf\񊩱;%؀I#z){hv-)76PlmNA=}oo+ĩ ̰+q05a eBd+1lε8?AB8#tQ_ߎA#x[>#"ÑoK4߾8m +auh+$ݔf]O.*hIS}\ ':ٜNl y}$hcd+a sbv7n8 k><0F.W iΈ:*U])1\$7`yF_gN*BzYU~qFp*IV-J e"(;5UGy?ELdP ACvg`5_`l1+tw<ȺKElʺ +a蛲C5q%a5n0`d͎Qphɴhgʲg>S(>bټ YH 2:%*kӢ+U\$;:R۾nm5cs˘3z7gW\sA>RѫW=섾з q `j乛dxk$b694B#&6>I}qQ͸2 3 Yj;1( MъC% ZHn=oMj/CnTݙ0hy&*4tE 2$*[ʁDeQxҵLe3bbi1s$ZT2 =19 ͱ8J?aX_}ɚyvh#C|Um[J#M.>߅81#J䒩pfXG=7lwcƕǁ9o]f4.= i`r! hE~F%0qLsNmkɯLpeڭ\`4{Eyj՜N , QIoHߔCLF/k)xۙ^0/vXon&@ ¹xkezl+|e=иdʇ6L2zFu9EZa:P!13,3cc\+xG]u{k ~J @̞VWmj8^  צ'H~̖6))?,م& s+&s:)&sud]Zk6Aɬj%JV :aǨF׫QJnV嚶܃c vun7YBUN Mvx8!]>\pV"L5+an]Ww#Up zTp|3m]Ho(BoW|o?lw'o)6D\Ԃv? @zjw.>ƣڂGG$:LekL>qQ񉚙_cA،mPI.Q솴ބm%~8mHynZP,OnV3li^kQSU#qf&in`ܗN00AS :`~rMᲑΞ#LSUQ V~b@mّ/ݸqA{ EjpީCf~]cgّ%DZxnXV?ۺ{Lp̴+ O+v qUG#P̳eu5]u;*ws@vB:6 HJ kO(MhkB}q/ JVA~^z,I2,8Jio(iţP --S†_uAY8Jri ;S]Ѡ5r5:&pw3'0!YZ$IJ7qZp:9`sW@jŊ=N0- =Fg>{L0s:sZIpQˏ~ZS-:|I׼7p| ԮܳKc?I<i(a9άL^:c<050n'bC4l{)M U/8dI MkE,C.h GN; .kA9esßy#KA4"'!  ļw}?O0pC@-ZkS{c @|V_ܠ6?qg )'`[^IhDT-1t"{Cx(ś=טh ?-DҌZI 5#S_ze(H*xC̮0rDOJ 䶤,ξf"XG`?{_z~Z&ՙE1<|ESg3` hj*Y+50KV`gkW^wN4kh=cfd֮ͅ7>؈9~t@Z cK{8P%u6X^Cb5%ӠyMJ[i4VX_eL1Mfٴ 9:#-1F/ }r[ N^"ޢIK!Lv"y4"P(\)IE~־PL˅R}jo}>_b$Hã0X+u}{qְmKX׼,9I*5Y6Ip ;mHD[Ҩ` ҥԕ0փSOh֕YI$Mw$J$/pB.sM*޼nl4dq=Eʩ@iUӌ\CU;q(A?R)!Gγ5#+e=+l \q=94 F ݬ$ ڠ97‘fG΅l}OjNĤ0 d2ӋL`21f `!pw̞᪏2_n!FgLd:u$/í~ֲL`c!;FB:Λk+LzKȕƤΰb<KBQ }wPd [b:eRSK=氏3CݛI@zcY:#C[Slg{bmˁ5 zUFe0H~Z3}Efڗ]m-e&3LגSK{ ХS{ tB*!ً!S2r ވCJ5YMUv#dmPQ?zJ 4?Anp`e8;FcuiҧӘ`zV1qicO,4Ge ]K$lՌ'M, DH 9+Y\H>`9LVy3C(" qa}`諯mlЏTk1мx3mE4YPv)*gHVU54u: p8*BO7$L3I /9%GdR6 ` ?53N2wѿS?>Ym0f8{(BS~K __jJo)4D"IlY$/eÄݱ_[7Uu] tCJy^UK9V!`}&yoyw,/Lv6xle$ JcL,b5bwi?$i;dr0l'W0Ɯg3,R9P|EH6n N9FE;/MA(_\t/О3hyg$qiv Yy+~&֝P%:uC9 Q)^49WBƎ2,$5*OI{h9D܎[5pʽtXCO1ҼwN<~;:wXG]z+t25+#&L:[!drIba )EdĞjТrҖ-ݖQd\0:'-gcչ%&A54#ˌ|pUG!>3LM,KR4T4#2P1|Aɼ;)`S#1~ YoCsGSXek7heݪF4b +|o!T֗ Y{zr[.5@8jz:X^J|VZvLQ$Ԧ3{K>\BߨnaH3hk06_@}zB>HLjVy ]5i\D`)7ebUwc6Nte*c%j2*R1]ĆfїPgfA$S~3:YDNCx6/#I<ݠ5'hF&xcq`9e9$A qk;V8| r7h9/DbQD AK2^8M!NVAO}oNlm{ӰNW\JoXJ U]Qӥ-?'oھn4ٕ&lWۅ~8XM:o.QV ZZE>hy5F`BTeՃ4X_H~?+<%&BvjVԌSj[9{:f[[L h YkѼOgWپNvczr) LAL_D0L]j vc3;ej6JLaGf)VS.:sԢzLF *8WKnwKGc_!~Pٗ+UHrCM%uC4Z ;!y@3p"iQ\Q&$tڐ ZUn;~ 瞣60 m- f\G4fTDۅE*1[ΌyH=Ǵc6Ggpihܟ0cFjt=-sK6o5Wَ;E_؄9iw}UuzwFZ1ClE?07%z#vMa#^ʨ{P|;8K+Z[w.k4^F|`#8+[K]%Ow|Sbmϧ;J*zXG0du1CcO0ȴ:c=DEA*SYtO| ;mEWpԿ<\?8cg#dz'EںW{@é}>px¨=aj ZhjtG1^uJGAܩ`ĢFU &]R T.OO[Czd%[[R%[k LjhgOqyoî4c*9:N7J7/)Cg+Ű ҺvOw1~ԭ\Ub0q~[=kbL2%~;ЫU| Pc yEb?ӟX,lPuظwC&,M'2HCyDa`8H9|zaz!8E+D"V?.FpLY=#0|@wO. rD2O lJ^Rۂ;4}Wf&K٠jTœRƋg* ԏƄ22ay[{ï:v/ 9([Ign/&jd͛HSQ ^hwtNaWA"}xv`Kr0M+V&+Ҋd6܌*fTT"6 HvxZC0/xډ-fm^N_85DQ@0]qAiF<ܚ{ϙ{;$ͭf TJ⭻'oxꪗlrΌDڔϷ,397ø1% -VNr,}[f r= 6a9Ss2y+'&4e/^fml]IШK\ܾfvq/5(/ JRadq$ґZv!jtM)WLPzqS94Mka,;&mp ]` ojd].omMT]>D*u=,yR3QVZo D(idTW3I'(Wf zk *8r^ϔ|pXpP`3$("rJ8fLpR_Ϯ%zR`+es#W %OR {GvG!=!jSB9C!vddw6d9"#;s* 0?FhfbnNF1Jw@ȣ J/A R埵Xg}'yq#kt{g_8LD0! zȒnrԁ5OR?dzt–~u^q]Uq~n=M`𘓆C~x,ʗdU:ോ vhS[6j-Tb8}or:0Vzk[2e*QE@-V|jʛҔamXHh\p):$]yK[LT7H4֛'ʓ G~s6碉k6VO/b߷ _IFD*ʙFpjOO;Gu.]=5 j9'9%EGLф8l~TyI4 G+0+ Vh2sIuSg=fi9'*zOe!X෗ZvCx_r0e{Z 27S^{Sqt&3yMH`ƬC=R3;E޷CjkTy(3U_;`^vq b5Gg(vFg,<.䱍+sR,>'~=6"omCGe8t-v)}Hxj%;N+mF B.M'&ťK8p7Nwt2 i/T"YJ6d;Qe5M(jWA";)"C=LVaԟBX׽4k^ouKV|F}]P}WwH)G54CY$?EV`ȅ;-lXL GZN"VpJ_W3shbJ\ypwUdT٭"sCy6z-p^ !aH /LCa/ 2/! uRi$⮶<֞tՔ\0jfzŒk_ " @|&M7hH}1qaTĵN3;\zf2ffM@TI֔ʅi͚Xהi^}b6sL2cptmFH#n({ #*D% 쉸H pSXeބc|+?M[|)=b˨ $_YjGkQ ljihl- GΣ\qZYN/p..mDdAӳNiц\/RVHٟ ?aqKm($e2S. KClvcXas2 .tnQ8dAkEJC }N IkgbQXYZ_?rBΫ}Λ2s;ePL3O0AXiz?ΐd?Y7d6`Mu$BNSoAuQ\oc "J#rPst⇂ʘBLQ3fA#z 7弦3p08=e *B'ER(KmW$ˮwX?qwU4;rklݜNjM++^e @2v F:-r90ҘZΨ&1!_VED~V'rM:=x~rpI$)¤/!Q 0M͟&i0i2y;Y™ɐөrprP NGш*4%rfdMlϘ=%߅poB)gOG$L8iJu76 m9$WreޙR,o<UNrVp*$¢LR:{A֋|bmeq: GX1ELY>].Ks SBSԿfB#~QSΫ~4V+,*Z4§R5A[7x[TM0U}kxin͋;1| *)ZM0>[3?R[l2t.b4kf ZWk9606i3*5ٽɱV=8G:Rh|g1e6L UA„`;`pB\$[-"E"ŭ;ZZDQe8<&a >!,иp+z<g iz{bָ3;dlmϢW<_Z[<B~yxOD'| Hfˇw`vC1cx?LC vQ`칫LeLJLZ ]5C LT9f8-P`Ma}cE͔)4''{s3^:kV|(Y8RbD$e#9QQc6J_U T3v Zu\NϤmD= Ƥ~1ex}+Y_d;:}VىGw<)M/;SƏCZ{Kd&% \zFM @*|z]3;8XeJ*ޚ?WIah'$F^#ѕFgO,://܇Zv "'Ä%3 gS܏ď*&IdxU. /bKvn)K1nBaq5g<Qfa ?{o]Ν4 f+ƾ0Yi9ePC; +$p.Rן_4nnjpQUݻт,KTld+qD `Muy\U5/dӦ}eS\,T>C=$E F7٬-~FK3XbJH@S#͢(WgngoPa9Gp0*]Rwc:~]wEbmBMy!S87,l쮦.l/klIqFDQU%LCU@3m>OGL #| ğ.oG ^[G޾|m57THo\jII!R),b>yD-i9i~_> G̲5k `"h8Gt32;dUlhBt;c`j?aO>:IJpK]q4dr &%(_A_6!yۨG"'yfܺtSsI9QkL@^ZVҖHAL8gUKjslL޸鼐*NvqK4RWt&[P>Yni\$D q zqOk'6;i:C1PÞPtxq4ff*pzȪT/q1֛hcvWH`{1*{(\1N+H.&,#˗>!%dr@1=f C RmӢ/Ng{Tv ;L]m <&`v<(Wو@ l^I(b|=+$iWjߨP4EV:C1= &vW :ݣ09@RET[/Hi t2~d$"b>6' ő5$ZUIJr8xo&hK}5iBQeM>돈߻i5E'wU8iRddB_@p<_l6w 9|8oI0?{J`NUB х9TM`h.nx5(3U&QqW!I}J̀./ؙ7iZŤ>T%@-$IXaI.ouCcn HcjegIILS7p-(BNiӆ~G)}n5< q>_`zN/:ZSOQ,$7:؊|A O8]iWVr_e8,0M3s/e}PpXJ1`\ @-{N5r+w/bmFa7?0VQ/m~LzvW,'>?$~8v`-X 5f'IdOY"Aqd!M?sJmppcrS-$ Ľ∃MbK%K#wYuWSA?CĀ EUb8|pnBf}-)1UE/ьSCd-2>`d5hꑽL†y3۞1+4cTc::8:!>+01DtոnHG@Zf+e+IB (p1gOba&Y](?Jk 3'%yyR ݻ-FZ%u0)b^ Gi!0`*N`2):ֺdOsK!S|9f+Ҥ*Ss#=6y0h&h[R*VJcd߈QYʙJ`o$F#(w޷s & _Q+ڍw ֋|?{na/8dDP^sjE)棇hA #8jNX;?hr)$Gw eKHzGDs.D up-6?g4 z7dtYnK>E2C3xIQ )Ȃ|#*RmL9^NWHt#xwߔΗu-@=cض,[;zr<yZqRv@p;HBL(" MuH.9SR\6ߊg!%;٪3deowm*+&U%X](@(}E~]B^Ӵf3#*| ukɰ3Jsz23`:jC:1)8{/t%򵨛V^w6t^-9$_"OrqyYtGʽxqOmlZ/x0 TXŎ]](OizSngpg$9ǒ !2cSR3iB&JTGWyT b|j8J^q{kɫ8B{xw:nw}GR]@9[w~ czM,hYa9< Jj׆ ^{؏'Tyo(,|NL Ҵ]&l^ys qz/{ZOy?DvWJg8TNlz|$Q'sؐ9Vx\2j.2 TP濹rNgz@V~غ=p(0'Y *UwEro.ad^TM.ʵU* Q$$3g3" ɁfM:,[{1sݿNSNW6 UԅWJ^[,P!|f9'imf[^x yƵE5ƻ|$+Up/?^V ]j^IxͬјUMQ8{Lʡ>]wE--QPٌTUEȌ@-$K۩=kB1]ѮXrJzc` k+RoTK c <5 Sč>qMtRX}2c](A K+{-Oq -Ŏxڹ+4Ao*w&w2^_^^hѥI p27h` izK]@₱iQ],$4{coFMKq?3J+ *M_GYXW !N%RJPj /Jf l:.>㭮;ul Rj 'z aՊd0'#5ڃ֔(ũd2)׾ɯrϒh$SXb'#5Hr- o$3vQ#a5(C fhV^ScjkiC~6yŎ^8EQKk؁ I wx?bYpdBnZwӔn'=3g,L\*Dptj_p43[AQKTWU[ j3fg ՋS(Ajf{Wr‚:νmyRmMڋR'2#Ӗqve &CnH}P~88jXZMu% #cL9`~FX9D?\ؗA#b^Nۂ6Ԕ~J^əvoVzҸ{zŷ^^Q4u͡\&4a vCR0,Sz@6Y rKzI_s2)LݯnUjH zA `w)1S;V,$q?45lJ塦(}:|" sز-^3.]<Mx Y7䓰}kՃjP"m~d7# l喔= ]dpt4ꃸiGe2 `X? M%}B`֧YDYӲj.j(Z`=9 J2;% [n.G9~qџΑ.4q[/0$W泒%h D&:|1' fa h+7ؗp66ڪsw8iMU1]Fkݷe솵R^=mNۨ>VH`9L $Q))$8 0y1G q ّܓD<|-h~ʂ_]FZl؆e tҫS{j ;E=uxHѠ:f^~n$ Һq YTo)kZ-#giJ|p>iac0w"g-![°DRÝv P'<mo XPSRJyy#ZTB*1KElOJ[:<> HhMbsZUh8z;ۣ2C^d"0N|vw,~FI A]""r_}c"Mj>֧uoReV/a/t*MT*DKT 7v]55Kiq&m6XuXSCѢUwڼ/\Mn#Cnh.H0 J%Niiv{O1#$tKl'oMVXV-{ lZ”O, PUN1ѥX̫vHXEedCu"S T`O?`+S ̰.S 0JN<ց?FHU\dEt6Yj\M&0.3-v^ ֽҚ´/TcͰφ;2kO{(o1WOcDʦ7L!9 x@ΩkGC&9Ue \HYUff//OSDv8EQuV85 J{_"=xأ: `- FFC*ph}(ɡBpP{LeG"imvΨ[/V#pGq}C}S9ЧéX_E!Ũ*BhZfڞAhd=3])x^Du$eK~-G`E~T`ޗvXVaj\EYżT=Xr9=uY~NerwHڃ 6w|+a4!2 pJ2+ r 7Z/̱9A2 `1z]?, P:&®gqftJ1pV_'zMcב#/tےa}wIY"y~j㴚}?'b:c0FaZDnVvz3 5SI2OY[*$LdؓAoh_%Z/R{܍&s0Jp.EYcra7)̇s9;lg]XU叓 UMGJo0>Ync4͵Xt {w mX_V>0/4 N u2M%zR6l&|6]NP4}lzsMK.nad#ѱHp^ fCFFPZs9Yr4s ? 7WlyyH[ ωFΜdU>e:x![|;quK~*Y۟(ߢa+uתnu;|}C*dNzzO,JC"##m3ʃ#Oq»|'icMY4[xi')$2jyLlbtM7=**VLIE6s Zl3&3Fca*Jb y<!@9 S8vz<)`*Z㶡ZNzt+E5w3XTLFm=Ƈ8AI=݋GE]}rLH+1RCiZB"մXn4X$z[3CP NoY+W-ʔ%tĹs=气pw.aqɤziF/;F\ 0ZNU { xBfTیe] TjJ2*It)Nd{̨`irȏ]GfuuVRSapH3QrQˍf7FXT:Y39?4:*fcQT< ITd4' PཕC#.iGa"YdXZp;fXP_4ёld,e {.: cRc09̞ i~mgg J*ibvtm 2wM?د@1Ŗ'[ { ,˦5Y .BK2 ZYlTcj<,_LX7,J׭|`v{ B]\E-艆'Rt^ `ܢw˨+h g.d33t55GfԬ a?I.R6ai*R)͗6"axT29F ޟ.o4ha6ӻWa~RTnMzE/J!T{ХUDvZ-޲L˨K/'H,%p)L5B>I1s @ђ䪌|ŧ7ypE&@ޝ]`105φF k> ix.Lri|Lz"7K:թ [1Jw¥+uH$9 M(u{ v8CTkYO>dS 7U:~FP؜ӌþdV[oqHfJV iFQ6yzCv 9O)7ji%ooC6|ݔqA.+n7粽ΫV_r n9PaYY)DL)100ï_5wi]RRiSG('s.z-.ZI&܈dU$C5϶ۢDg['chnPy`[ ;:[f+@̟Z=iH(z͖-j6OMu%1WlFQU6{Ъxͧ^;$15վj[b|M<e6:?I[g2]si K}ZF]T;i!Jpy ;IڿxI,.ju8ífo- U <1,xdb?@krQyqW0'u+"lXq  +L_pya i/lӝiT C;I)CIIʟdi݈nYKwݮ"c%- 7-(IQL/K\Ↄ~3![FeEД6w3Y嘇,/S}e)vzeN?m PݤM ^Ľ mAD&CiLAT-mahK{uRm>c#=sŽ;Hq긛-?*+:-z| XK1H"aX :@X1ᇃIs2 *qBh֜_{[@-J)ö[ZQ=.qAOx0{'Li~Z ju SaAC𚖤VyYq7*Q|uP+=p#v~>$ZQuafQvX;/hyk26/7fMմ)Jة o ~нcVH..]8͆gۊt' !JYmB64T1rlҦHm$$o0c#T W,nenZ3/0S:ޗyVިxA.Ȯ+(?l8^7"Pȹb$q359PG9Kul##ʾڽq'ݥ!NwRQ.^0Ѯ^˰:MDŬ %=%cS *ĭv0ı曹 Ġr O=~k۠=gq;iICYTnˊд%!Ϊ^`X~.׉a5dueTIY7{NTwo_Et^cN2jX,^@k< N@X 뫙Tt0Uu͹ @,'-}y/)/IEeO6Rt/! Eν+.MeCU.٬%лR0(;g_y{JyʹO ;(L[Aꖯ-º#%?p;9Q<:=ѓ>Q=e:Ϩ.~É/|%S_ڛƕ6&1Ly^ }Lp>jh&B*2ekh{ps͉]mck4C!6Ɯmbd[5UkRgD`=#_mcb[& jt*DheӸuڧ:`txMO<DU.| |u}c PT\"#|s<.vRrŸ5X=_;3E~>Qk/Tf#VcKdV@4+y& TnUv뙬 u|Jh<o}nطo8چ|^ I n ua w>ȿM lCeb)gE?O QYRUmZskVy?I9drc 2\M>^<Ǹ0 ӼIRc8&;w /gu#3q;H3=Mv/Щ8n!#;w() ˻qQ_ڵ6Ϻv_KK|rGJۃ֚<ؚÌra39ͯn0)  88. isY,TopsUPE-Q/2#Eաx20P2n׷ wJ4<*|SgNIAdS\hd ?\_Y}mGgA8?+kbbYvYyvj^`v6e8 ȵ%ʷáV9j P^PR}e_Y f7;o4<,!L_ȯyOYbL~5l-Qȸ 9X%Ug0|)E@L)"] 17 'Q;vRxە0vMunɋ8Cb]oL,d20Yo偕s|hf봵Ҋ7mJq]afƃ/>xCK],!b 3*\5lm qiiocQż-^rX`7vTk Z6'<(\FEX3f$4sMkCZE\4KJ4 tvvtM:[VQ$ںJX`tGkBMa fѽHҨHTL=Ƈ2ri@+E)y?tai1M̸)O_)%mX)#P`S7%.RMC7+ݵϩb 40l3T_yC8IopoBz($2ƔƏueyZEX0;b0\g`%<7'/wGbWWѯWskD?\EpGI>Ƅ` Hk]>d?2+c5@&{<:vSۭo?-_z޹f}}<ڜ4]}1o6?BlM6rW= VR< +T!ٺnVV |&$y& 9<ٳzG0Nu }FY~Ą(y8}A3Za Pe$yr(J2Z#S|*C ~>-HtTlQ7!d7:e-&c`8'eSV5nGc\)P]g<'9˵VWQEP'wwʊHVU 3n,T:[W4A^uRrQ^7mE1Gd$;iZR6N>.9IM4&Hw{ԍAcuh'$a28[AsKn8Lu,o f!8BHx QXq@ʢ’&)d{ZMFmS ֢еNk,ߥ&ut-dB8mF idR$E1)F_sP6KY/&H&>ݧZ]cW#5206ͨ6)vf:50k H (q1h},AvVnGb<̄0oΡ[ɃS n2cSS v[#TL yrr&-AWLC2 yL4 qjn?ܫX!=i~ ayTgkҟevԥ$q\b"ỹ,n[MvU 3?\G*"DaBEFiߟI>brUid5{3kSb,.2 x]3-z*ةY(= gX"aᢣ|(OX-#&(#*?Q+ZZ2N4+S ڡзwv9 T1my :q8nL4⊥Zd]Ln!d_6xך/U+iq{̈2  l RT;M5FnqmM*MޟO, [6;8/p,–fcy#yid d96ť%AXn݂xT8l 1-ø6:ݕa0ò?0NAL1_ $\)Wk=>K[Do<;^;]i ;`Ys:/eLX?Fd7o*I]dpNYޗB%V$UJ>zV)O^CeZDzA9*\F4l~A5{dLv8+uhd<в`j+%T/T< G <i`p˞d/ch82RizJo2D"KHDǴ&Ny7Gx(h$%VlԧC_$jQ <+~jҫڑio87nop[usҜ0#6.HL_Bx= 8fL6a'i%bxcx)^+9MBzJ6[wbק R0ȼo:+ kLJ jtOVFe8yNhL`}A 4ތ{uU"پR3F![{w="r1=>5eeGw< 3t5-d"Fq՘1~8'=4 -a_*>[8WnzSW5uRwJ=-+e/l"^,/NԲcs䲿?zٜ#mݝ KEqYBSiE7hkNy$WMMh8~-H~ uG[T w-! `8Q%$yeF Ϻt?d!V)_7svTLUZ viE TDfp_Px 0&Ȕ8]̯d<22:Q6к<%` TAY^BjMJe-eyLƛYXO"4-?+ #vo+2f`>Xxj,S!^L%g 2"h/+fӬ} SORgI6 \wF`2Z"p5C,$ VOJ?LPgN2Xڻ*ZDOJ)JPaִFx^j4-e?zv pBd|wKV`|߻?SN=k߁" — ց?$gX- !҉.Z/وZ_hw&Q'Xۜ]AD.rh9`@dU|D v aC7tGiFGq4djΙhQT>tőe_ 2EsFu@ RPRİhR89 )FY$ s+>;gDџuSyi"Œ<Pt-A ^yBP>q1`]%CyJP$ՅzU7^ê2@`9=aYbJQeQ^#9hdMi<9l$>CuG,zё- (L Ljz>焍G@X[p?#lS/ ON9d;7DD^u/>Joh}Gm?lA=PbLp|y79 G[G^'-ҩn*I2 vc2MwL@e|[] 91W}cZpGIEț|9ڇh 5^%ߍBXW>v3q&6 ~rS FnD`sZيQp=&8ˆQ!<6R)/F$;ىLyGm(t%a:\#XH$6Ώτt3z&24aM!&Jk?R /W<}Rl0qĠ)`׊՞5NCKec*o]*r,KQ_|?DŁe5ڥ(<[Й#h߂qg;Cq;fǐdЖFcA|^k~m^tX.\ws/>wZ u* }W *x# UpP[6Ga_HF20A>$!z<Ť0Ǩ91\mbpd:{6s*x`NJ0`ρ]\)6 ő)0ߙ_E;monԽc?Cs--JJ-bcU%SU` R~. : `@;T*GsHSoԖa?D*NfNUf]}O@NpO0Y`kBp(6ƹ*0{;:ڰv:*LH#W0}|vß-bzFd̝@BZRkIQyYaWZ2oF!Lbe;X&*Dq7Ft~ 0‡q_p $wA>PcկsE =]xMvgCF2nZJ$ٕ'.8"<0j|cY?F3dR %_$Apqmk>KXYnhJXֹEıxGx}LE=fX>)#&T.|ᏩQeҮQ୳M5M*• ׺,~Y&Ra=QW.g.t1骊 KN'y?6^]C箕ѻ) λNUvH:> b+Krf\X=Ҍʲr]2^:j*tH@,hLOzT#.$(3(} Hw'k`X2V0$'B\P}f6G3NJCjʕMO2zpssM)55+>6WByև}3Ί*ߢZ,wKUSZ8Hjd^:ԺCsv\qUy bzb`mT fD 9ϕV= _"(vt;0*=y9)_RQ}A_ w*U$1H6:.!V Nξe̳/N[w"+ aCJ44usS$imH/“j$o_\CW67~{J([oF{Q\ 3gIK!:I+ 69+Լ g);2:"P;IRIb:7nӱeFߓ(3v<,@ꮎ `N+TL*URb~ 2Vvo/ѮFUz<9(Eھ)Nt1y1NT)Z?/kaAUPQh{ K^U]rښt@{vZpݢm_ʶY$g>Ne:.Qw}Cm4r}߉eHnn[SeX䱖ubz# M8\$KxҀH+ȏ:x[_f^^%ܞFaF˞FOc!ԵiAPh!ɂ.Ibj!t/D%ԹQ-AdJO_8X|F!^~ pQ9^rkB&5 8U/!i9,@wjD'"Z/tINvF[*s`dQ7\ŪΫyrpCU02ݟүu"$Pi+Oǡ[2{/h跺]#ڸ^6P`u+կvNkyAZ%cMI+IR?ꥌc6蚃<C@J $74AWj&jx{dҭr>ʾH&L/ .?hx)v@is!HR-4rH`!^9J6CZwLߞ+!/In8JgkM\8` >Dr&uUt؁VW*F&nWTI/iE2o\zTh^5CB3N1A~kidqLeU>v k^ %|%C8sT&]MBpyYä26N1]64)J;7#ۄ?Xo^!9\|2d(]=3):Wi4S0ږEG5,,¸5\Ic"[]d C#jV_iBWm*XL[Om$ż[KJJk9<lr V߶O,JLkOSw+l\7boJ'"!]B0iW1۔1实̬*zhWQj^ nK`ɤ_{um5[lSWq|l4S]HBD NoL) 9 ,N:&r-Ķ/pM/`(_B7/f#k(8I09zzȷB=+m5f_XBk}OkG}"JZrc 54ݒ<̮,rmYA562 Mk,1Azc'8<7x>Z8S^rqEVxN.&MpuSbRibz-g8%^ړ8=#BR9i>!`ؼʰx- ikfN6ƮARЈg:[7W' >:cHc i~z ̅lا}j:H& .ǰ5 *<.;&O{ρ :j,f=Llel2~zlUum̀COI3ѪKc%>霚i>  KʺM γijX z֝~t= F*r Wo5ߺTmY0䝧< Z OF3užu@L ZG nUߎtx.1V0IZpMv]ͪIA7e{*i䑜\TiD72u4ʾS"#J5VVX7ŕ_lqPxXxMEyDhdIC}=ͭt=5(}M8lXz{ڔ]ԩ4+}Gho @%p!zX#}TsE 8v|[=r4čh]nUӑউ7ўD3h kQXZ q]yD0#m A BDpQ vZY?&$572,DxUTWD%#yϙ㾐0\UydCS6z_zX;)$Fg L= X !r B3R<>H;< e\KKgEfZSZWn=5/򰿍SHvn}qr]R׎.۱z?ʻޢx:H95f\~K'Xiu1F0T(`KL(aȗJA#Qw` mՅt.yLFݘ߃ͣ)@dMFܵ/})ieo煥/=ƉwURj6 #C3in_ڀ~~NI`[&v=):-@j yWQVL* Ҿ\~ToiN0gff.D-܉ז[r51+ ު= ĶR-RP ΍qW|gmfjB&8i] l u+SS?gp;Wp@ΑũO=8IW}o'ZTdѥ@]0b,PMsz#<>ӁAN2#Y[/u 覛2)0, xtUSN pPL)oKh (QC"~j.Ž| 0c A#Gq^_cR>!WXH+ZLG_Y45V/Z7GہdUat, Ve~TpYlU~o[X4 fYCJ9[[ "]r.oyx eyO^Ndv^02,G80^*"Hd.Tȧp7- :> Gxr6Nt 0GIz\Ǥ1~q'Za҅V2ư#%*4&ȫ@W[<{k\/Z淪1O ggIx#C̯N[vɄ,<:OdN:m&l3<|kDЅOP^\KsQY+XJY֨jp#^Re#:07Գq.v]$y ͈6fkJAQ<9Q=.4v;%<<d`3kr6hDCdmITVzҧw "sh"y{3ϖś#9@U 8f (s>;Q땩(!zڲH4SM" \ν[kd? 6xOF- m}(|9Gu7w=Ѷœ JIKB3phB*x@ 1fe@z@''(3ukx3Jܸ}[yΞaF:tI2\>G(*vSSGDߚB)TX"47u1#ƳxLH$3>pL:;Z06F<ПS`sU]?" J$,Qq#ȃ̏zx/nY{va]H ht(C  $A(64! Q2ϰUmнߑlg#aBUJ̓r&1iu?2>% 6]Bi|ꂉJ`XL|Ө]ҚtS%W[i&66pqF ?PiLRFc"<"jckCO ^"˫!rdʴ'`kSgϻC4rوvȅ=KٜDёi(#^{5h)YDTPW:Va"VYF)K1pl`f 5󇸱 :xnX *:VD',NCNW!ɰْfj]zfRNv'bUGbHcLX[!F{IywL=1?X gNi!ރМ-6hh`WZ')5 ?ؼjXe]]C5)m,eL/c0Sj&kᵷ:)@8ˍِ iHg^Rʼ*J`+/ao[)ԗXI^M2U4m; EB[S[j7S  9Pjq rVÆO/f.V$i+B٬>5j"-K)b9&a#\KrMZ( K}hNVBAg:pZHV^YqmNLeO&w˸[ Tl螅]?YO-;+E~ř[f8й}񨴗Q_FoЮgSi\ zWIOMG01H)|PO H;:J}9t'q&HPwSfDoņ"q?"]QY{irhxa D$m& Tޭ_"8o9 - z嘆jcqt6(z(2-tʟ9|HKٜ4%t?]VZB> Iag;X>T.9߽]ovʓ"s<猏9g);?3be)(T$SHHxPKG( oT k(l\+X$ʦr ?g=j4*F=SLdWkD994lE׀Nnq TCqG3(qd~" `EsWY.륶M<0A0*3]-+tM\fLP~ SGyZ2\9 ˝*tn4GD3c@eG"%3f ڣL\wuwG|wWioDƔ`x3a4)AE oBz"9'4q3ߍL8"[efżtKE+.1cVהz<"u=ZS,-s9;PcqB4T~yä9 ̊Zn'p -fsܪt2毊tNE1-*H4~\PC騘O>P9] EaU4.F!ST ]cR$!ef,R|7={VPS'f}"+~LrZ&2Iۊ5sݪ8jBH <fURW#.G987] |m_&{-)*/V9|\i|6x,%]E Bj v"1?6|8.iKU@-[13U(.!icil2!-/ ,f<=(^!|lNs{d>p0k1'D.|)Ma'Πup 4KR.sgN: cw@,ΙX&kg//L@@x0湗H/AgN,' Š {I&m.<='UѾdHŷVc5_(eBj6g|`F [r OώZI;U'Ix>$-v$VuEKR]ӑ/C*!"4ܼd*'O\z7.Ն2<`ьYl)<3gtϰMIf SLE+D%ȵ Ġ,=(s QJFAt|NKj~3-*T=,rdtY"+)#s[ BS5k8jTBO+@: :;u:QU4dR⦞L[GKNFy"??e4ۇF'3#pãJ('evK߫(NO;R牽a&"VMgӿ,ty4xmF1B#n H]$IqC%\ىLx *84>*&0Xto NW \L^P(рԥХvYSfBl,Nxh_Le(l$JX:V1~XdD#H2R$F*H}ū/%8m[UpwCX;)ӓ5qT3wNP>vYBJIⶅt%OaMt5}9\\C\x5r7j& e/@1eg !??h ߨB"UZ"g+=Kޯ;Huć?"4 N,E]>ZHY I\VtVUˮ&wv=m2X AfX9e0 Y/8aI<^2S0oƢ}MqN:U##W"ZPHS3qR(rLؠuLf6cVy2qJp9Q;fn{}A힭<* G H63>}SB Fϩ˺!!aʒETܗ+xqc>*Sp-TwDՕK)'i޼/_L;ߚ:I,QkJ=B3˰= .IlJpXcX,u)LbFܹDp1ÿ$eUr^M~Ʌ jU;O(2Iѽ|wqC4 yYzZ-) s wp`”fJo(y;";tߐON!BCfAU\ "DI}*b'eڑ>F8y1jѵr‰NÚscg]6TQ<+!!VBܼ:f8CWS/C0p*Vckw#zNĸQ5H= P:[o_}'|83eu|Ȇh_i-g܆ o.L2: =! V 2]HM1>~268& ;YlEoVB7d:D\WW*e`*Ȟ=휙M1LluoCXҜ )oȨU7r-o^JQ:dz\d:u`ԕO5 .ɺfF!ægq5ί9r pNR fNךv _G؎A ?8֦<6D&#|woq7A ??u V4=ش2}9쾤)6ݓPA?E\ Y툶:rH$ݟ2VIsʁ$|2 I/jE0DnLII9C樗 Y:<n0تbH1enfcKO^b"fz,J'/@1f's ttTe[A:+50*qz}w`b18*Sk .!l9-\Eg"sy_5{$ɔ*Fˬ8iXh9ƭ4T/hA,S' ˇ:iɆUu ֚A UNJn2pqIFDTrEDLj[;ÎY"һrl@=90dKW:DY9#bLyY]M)+.o!19nNUe0;+*7'VbݻQ7OH=~)SԞ6nFQ3\ EdNAT>1(9/C9&ȰEdy#).0rF7f𮲉WD9*&+`;M)u, suϦZuO<} }!օ:ȅ$$k = jS ;tMҥBLr^@ tA +(`,ӞY4m05`eCr<(na(ݽ ڏ+YQ ((46ð)QrqL1W' Dʌ|ZIu uTC~ɗ]/]F/oZ4<\U1ar֥BH`7d i֚Od:O Ǖ$٤u6)sc= -?2 v\y?nWGRe׃XԸx¸K4xZ_rЬsHTyqzSdxpZSB洅T8e9 K\Ñ1 |-@c Qdӫw`:nQL%q8%WFe$ׯOzwt+xqVpHZ?ѣz'r!K(]˰N읖N!:E`>.zo^ɨ^<=uBÑW~kƧcJ¯S#NQc.ȭnEq-f85Q{j(7EF`>XH"4 b|{ωSm( ߩU[7kV= Vb͒NؙAN `6U N;Un,K[UpI9F. wcX̔U1p51.=P?S:%lX_9)kY-;f?FdAw <03`Uڪ y%&4uvTLE)GMd}B ˫=;M͎c62*dW?I'U'!0iT֏55\9L8H?PUFgH*6fh)P CѩU-fTpU,hyjwF:cƫSBя'YT'/y w$ّg<X3R'uGQHDA͸.D.tm,ro ":HńǂpE4s^;6 fK=W\QGk~0yQ?f^J*?IS\dNZ̃v/9yWLG̤#`2x}"F=&̨J6)QYp U.>0Syw,k>s[Hy7 pɝ/!ɂJ9AP\2@;X–+LG5 %S=&p8wRN24+C6핝qÿe yQ܀IJ"1?Gok-kSF6m;>b(EKNiW岕ބwkɽv*UF0j2IJL)i)!s2xU{RH>K_OrK.B8Wy3"8x|mȦrkO Ac/Ff hDqj JK@C«{FʱZ,@\uq ^(`KN2u%TζE0(Ō/Q%SlJKYdꮲ%[DY<$\^ %^E.3Öf;s `Y vq鱴LrYyaAS q^j_e9 YnYha8|4J_N+rN\Z9kTWVT-܃䠋LXL.1+nO Dy e-,jQyPx$u*h:>|Տ};AcKxKwR`Z>SyjL/wVIN p h(CE!0S$`.М1i7mL<8egus-vu?Ib*+^r2EPg6]a~ՆQ6/9V03Aa4HR-n;e{)/Ԃ.YjV$nUSX͚=bpK,љI l~ihL\-iqMi?﮴KTTNI vdv]:?%pEQ:}]n:?enxvwc~jQ*:rk4{0\.w$+ӖC||ʗf]X<@d59b[S +zp>YA%԰U=U7$ئ՜^`ɴ@JE6'ѝQ)1*<1y{C AnCK`a-ah%pt5+qW"v  djm4 υ[% ىe^iXyNW')i̟P7#4h_>s zU=q/!?9R9:!CXedT z ".{; 'n~ {v_ ɸv-ogrnO0?yri|ؗ L+kt;)& @c{y+/pjE L&ߢKqT~[K;xK~tbn! RRS?U tj{jOxz+p77Oj7 qbI747s0yzٜb?>1\yvHre(qlNXEo!1ϯjJT;闬7|*kd3+2yFws^JM,w茙&=x}fIm6DGL;bzY\>hӮmOڼSZ}e񛣚qm7uП+$¯S8x!K\QKC%Gn hLi5UGUY[U\}Mę ڔtNqO ְkSGFշW  Uzn#n [޻6_ƥ q3me/mg[P!zҔim`&SV'Qn91YBDAʬϷKR_]H;/pr 'öy=a{YR9݄NyG0M1}0e&) ?YJ:*ڢIjd>OknF @Za1fRXK|%0" z]IHcn0]neMQ“ pԉɛ! քuJPofN,"akgE2bEㅴg$JKoN>pX5B+'K~u$ʹV k xﬣĆQuW~%M*M@hѡJ.}VCG˴9s&[\ccTù: SWDӫ6p U/\N}Neޑ nl$T-;PY` ~kXge_'O2zuFtMMZ-f֯>OhP&xa =FH6\V6Ӣ."Ա,"/+SY|&#f;;&+ŃݗE a fG EeW_FK:m,>Tuiyd-7Y 4A4Lei K8K dǪjuM{IqwyWxڷ6*Cw6ڜG[qEBD0 JqjmK*$8*W¬{iX'-"i'aM9Qbz$Ȍ.WoPC{bHmO%x 6xQc(FĢ8'3_ } ;S{'5hu' I0GS^0ɲNo\SZ)"S:&PV\-0X3pfBȄc]":~Uf+!ꑅZeRIX\[(qE10݁"2aв.gUw iPhWO>Aj̷+tٷk BCS”֫r3zq>y[k `P m$IAwʈ$ 27;)_f5*9䮘dG-rGN~Sh8dhtZP j|motZZW4ҧ&4:6}35 ҎԋaґgKFe;\hbTxscڿM~ї4ó Y.:CDQߧ;8LzxW^]vi"B/ ͽ0F,mYwz(C;spb5EKKy̮6ae1 oldaʾPp"M%>ٽ=ccE  "JУQFg49ɹ *;KHJχ"Վ*"z^)."tvWz ;@yO 6z(hgw)?8@i'xXV5\qLtD =qo;feTQB0N<ÑDMTQNEh3@2*$?/7dssg/s2ZϚU 4=AT1O &nkx:e-&U&O/R֌RcM?X%99^Umsk"XGTcFD [|;jV,ռ?Â)ŕ k_M2mwl& sF6_/j48uI8. ??i?K,x|lU3̜nXzڼx0_k="g=jsˀg}jsUvVnr7iJ ?01[c1:KdULkJ ዽ>]Mj{i"̜өB|a O}$YKG}Eaaer! ~ [5 2RGۮ&﷒*Y*#y17呼-)Gn#EX3<{s'# sɥS7&S:3ufAF>h`EnnMo"u/1u8j  Ο%D/Ό?Ċtj O$SN7^ջm .h]<+(5NԿK%ͅarlk/c 3z;7̌Mfv[g7u%BM^[9=[ l!m4Lz*v~p8o]Gx]qu g.҆̕~pE{vH~+˼p~Yt92%ѓc0I189X隳{w~C:W|F6דnOlmm= (>w$`w Y: ,J!<]⿙ -k^Nh̨¾6`0P<4OQ t2u1'_qS G|R*L*7T8bF=$MNq};InEĕLs@i[azQd y&DCF]_U@ UlXѐ/&S]h|μ Xg^oۏ˱ Y2cs6UXBMa ޤ:Pq'8ƎAh#A$D dL1#tQ;VgIbIGlTOsu9$~ IJTOɪ8疉zgbpl`Y7oejNڟ`%r\ Wypn 'ۙ_lKc{c`Zedr1JjGIzf*%2jnU%^*VkvԉYXx6dWI:ْ}95=:`zRЄR= ز)7{?-xJUH'#VϴV9D6c.LZN!E͎gbZyfӊEӍUVk կ!˵>Y#I+ 6oAv%Y;<]P)R3#zZiv99KL ֻ`GkO1n 60NR2 $4#"ЌxZcvC>;'~F[F zxAX'\Fl*5PDdK uq({ߧIXlZyn3xPx]糁%:jVRUؼv׉wlKNd/M8*>ZK+tl49@zp9>V1,Q(!]& 6!nk (K-5:BIEt&4rEUU: ٬ Ge :88vfՇdWVmSL=iU 0e^rt+12J&iƵ ?7f0s;pϕJoL)u RT;m ZM7wqgYEbӦE,)i/>D=Lף6v;㪣}\Fs-9c~mUu>sTE8F,a*ZS<8&cNvAUzȼVG'ĥhjD9.%EEG}7`wÞ|XI+k>6/x1,Nb=z;|C^f<3^Yvp"&г9"ϰRp47eZa6ր01&)Qw lW` <{o_ٴf`Cyrt)hכ$/ аg D]!wr)X9hVMX4z0 (CI~yӘt}YaU?*ɘ ' ҅07pY.;Ĵ|%JH.< N.ڶzA{VLa"S 7Zn"ڜq{L n^aQ"ew©-R)s-iT!C:8=ۦ}uWlDh2d@YpA nyblS1psvt\0<`Çg6C~/Z2g̻DQ.X8e^KJzq=~ 'M8. %C.dƤE_K_韣Sa4KުAjS읁Q;;X`Cӆ7%Wgڌnu@ߦoݮZ1 zW=O'삦0M۬6O`fڒUd8GkfpwëDo!}ukU[&S6EWz( ~gqEw"K&IؙL*i.KQNxIs_/Pߏp*tW 2kt[JTv/"q|GA."SC OW-F,@K{DwR+l͟llEyRQ-V2F}VArVI-L q{mnA&"Hs#8>l # ҥK= M>o;ʫL$tn@؜DGNsXYpzwtx#a< #AhFt~J]1B7?;lK >cDާ5' 83˘NY>,i.g<ϛ2- #Hfʳ0' Rm0882:4]6C&˩05'̑{8INw5IK"B,/*Gf jz.^Y_16sy~KJacVlwT`y VA< Uvs#ze_mR*wb%+OXjTN 3r;K#ոypEm=l7ꕼBޛeS*IgT;r `qtwQA94pG-Y(m&rӛ oES!|*BXWD9Ե:Un[אa (c,L, vO XK1i$;Jܹl3ҌίqB\Sy"š#wwfj{bgY)D ;T|vgLqg?O!-p=#a_͘c0Ut{/TrH]I~PҼV~I6bT O)ḱ[֤iSxTEݝgNE ZAUa󱛗)>gyF&d[>lL̛ Vү =Z)8#L0Hsl gĻY"4vYWZVM7=*ǟO$t!fJTA߶ a`虪u{ORX!%fス GR0k=ARoёȐ2YVϮp-3kO&!c^,uB d7Yis-vknV}f)hjTZU0DpPAS(2~ Y-UO.A&jW菾\Z|5{fSQr-`Gr_1 ð}d N &I!9-Tt1b (sϥ>7\`K:̒*$Ï[z>:}&q/yh723G;˸VZLn/YՄI_:in ̝l~Tİ;Jr S<`CeJHW(mO9^`HBh ^; @мmP]/SUtXp vB-%pzrtYJJOnq`e*V\F| QBya6"|;TjՎ4"̪=y9<<9g6r5 ӏ t)Ȥs= ⬜Ur,kSf<+fPs\z-o~Xe:ʿzb+TLG4+dˊFsYNma&mr@ϊ>Xm6 (w9g IJ]XO A܏qH3_uX疔h [E4"w- "Afz-TV8-#,agpw%]S;wcT-J썞o6&M . q`Rc_opPzD q }mN2zU'n7E2n8_B$jr HfW͍ρ@u9н(W o%㜩鄠JLH aXha+p{M|?-̵nsG!+'u,'@edzy"Z.*DŨku7x"C$P ̱I`?\:CA8f^)NJUgh0S2BA*&/ .g_{fn/X޽ۨ>N3`=pe Av eB PMpEP_jɩX*P~aOb| iKHqC4UNl #d#T>?5$5M46@o;/d}1߇});b _L+hBXW+2],~j][lJ*<ac=>lt`hkIN6X1V¬+(`Fn=fR`Gtz1Q:sT>jj83-jTV?'gFTj|' RcNlQ`Y!LLNStF Ք&0{Ip*~Jv ΍1,zeS O ,#*o ug Zͧo!ZU'oeKjt+EfJ1^.$9z H;$'!;n6iQ&&!sL3LˡG^V`TDl ^KOTd*}BMjVeiyiJձmMkZS1M/,;uVH_G1TPĴˈyV"*1g6(܎+u ^^AU'Qnnmhݓo:ު jp*@G0u==CZo] yyqa"Xl,VuړDKCxTuCL lޠ2D WnwY9:7tRtsZuޡfXqVt2V֍ :dE^o6So(ZHy#;Pjs N¨(ѕpqԇLbMwƾT޲sAVUѮZk,@oht& qgU1-?o>2Rk.SBލ i9mK2DA8GW$vaETuT<\`vB5~PCH_^2.z1ZDZ>OׄbcZVw =S l6JYG;.S!sV7ș(dq8ݕdY$L6@ɑK+/=җFb+Z2}P$42۱U|J56CJ, 9z hҠr ڹab/VR]>ȵ*o`em_doK>EW?>smz }`jTY+#;)EXN{u VosT +#?v4 F`PYkd1`k @+ D!B|s[!} J='4)yKZ)S\w1|T8V휋=fh 5'|}whH-:, ar M(BD8@'Lo샃l>:qU:aew/G "_bS?kYLڲ8+`g"v.r .=gк!d{#YQ0!^qF5@ܳ^E& NZeO`<&ww ai p꩝c Kq*+Տ3Mo0|ϏULP@.`Go/4ӤȡJ@y_2[ q>Alxa^^0׬'V/by6m`tU3 6[wQAdmmvO.u* vԀ_hɿXg x$;?3m*-^=eHf6Ų\v1UVϔ2W2+O{K^q-嚐̢ rsg" 줯D凥닦Z.i xM5tG{IQLd |t'FE 5$׮RÞ2dՕ%{YeUwldԇ+*/MteMIc1Cu#xKo|=>Ql&_ͬ7)lMJ'T K!q8Feoˤqu׍n'ڑzrVSCCi%BfLq'g>m3N*hmF.Q@L߫TRL#R>iSĞHHxKX:c ^O4]x9s%oMәTq*}N Nqg[Ϛ5\ÿ:NpDVnG6]OqvLʠlFĖRfr))q1Ve2*xHT)J/EWª--4=Z>w qOg0 *py{ZJجi3iDF-I]+23?&Tʏqq<Z8.+6E>LmLď nn;bZPR-y>[ Fb*Nx}?DhԐ[q&8Kh204{*@;'OZAgqbS.Ea5}}ȭHxC@`rSE{f&?? (x@  @ s&I/m 3HO;mD\(k1~@H菁a|FFO^e].4\yoHÓ EάDYKV痚a* 04S sip7 Jsw]طjXc^X>|A!EÉ?p.ƯlMFjJrؙ'o2F@D'IÈ}ι"r56#e?i- c.J2{bxp]3btd؛p{g{K \2idU]Ժo 8?~Na'dxL20[SiaڧWisK0o)|v6xZȅ8SX[F)3sa#_v41+ $N%WI' S k vS_ Jղg]`ڣJO] cTc;{M82o *΍ ۼ jI Ru3#G cOjpQ@`:{[9h#@ε7n05pț^]j# %Žj7@)t8a8'OKʑ˟1/`,}ח>wX!znҺH*!=@*jwtNf X eDEY9Oe;c]Ep_K^@<@CX4*Mdt5̤*\3p840?.F0JCG\ pƛ-NFX{==bOdpTo ^t:jXp.<> }SmX6jFd& , ½S#pq\Ga%ACEr?F@oQ#!F1_ ro*s%@#e^i{GL_A$MfD(^fʒ<Ζ 驏4kf{KP\a.14]/眏;98V{ 9Q9i4YT^JÂv!~?6nCxzo͡j/b,}:Sa `T׼- dCn )ASKݡ,2M^2SL~R,1EP9#1OsV{#*WFUsfmy/vHv_׎ zuY PTz¬^ɝ}j#F(Yomڗl{i;Һ;a)uZ(`(*kiO7#iO H/RݲDz㴢^x|Ȥ w[]Ƃkl>*i2z渮O*h]rV{2 &!$-aHp|2AE.ߙ;YcQE}6@qqU<̀v r-+ڻ9ZcȘ4Ha͜a)SEN4"Xh*S{g2&ͯ5xIrBsNx;2hf59\?*wE O ҇8)#0I*_JƈPa)Ǖf[4aPfΘЫඐPeTq?+Qz- r[l:W@\E2 4z 'e o> ̀9l<i_:kSHzo[Y$̉łSyف:xӹHg'<#3Kt \A w5]Wt\R&5轳cO\XH2$%te)ZplUڡf7`t+Hz7U\LqRեRL *T+JQVs:xU/ q^rZIE^7A7,N- &^25Hq5uu0^SehOngΑ#XO{IbjEQ ڑk M&ǥ'r?a @\rG]{18lZ6ba #k1R THRWoB+g<x/V0}҇6-)قb,5*R VR/b;S#8|Պ(WܞGeUKgT%//bكo~>}#%*CS0IAvܓ;eE*VŃ9ZIX?mwԌb]zܔC|q Ξ8nLT٦s0@{q ܼ)=Y$C7!q*5PWoī4lu2bXD*#+d]>ģ0Kej2FιCQE :͂?F mC0pfJm'Ɉ, -[p5 I\AH)'8v̠: lS*E_C}aR޾˙=qoh(ѤL >!:i'}.S9z iߺs@Op¿+](;G*pA ~x6!d2sRݓ3YD@lM6H/[:c󠮊Đ]rnݗ=ktmXcLFmƍ)?]&it 9%"Lv$xZ kڍ꬇ ꑫ[b\u`Mm/( JZi7/E?o,c[V^؟&aw$lR9.ٜ3DeDbSOR ic'OpS RfGkso\DC) &* <ˑa%-ħdqz] Ai gEj:)/-wN1oz^_?-4j$m#v웻we㪦l 5݉)he:Inq V]A;1&غzyy :3Ȅ9Z KTN~9J{e9%Z1BvϿdO}Hz5rSZD =fK1U4<~8fʹغcVtVSfNMix*Pmk%g PN;paQ;TzN'8-}x1ZLsLu$W[9i7 EVH61Q)4-tKMS8q'}8d0e<9D[p08 G|eǧg)e,9LO՞YwFܸ sLs*i 6ɝ R';5& bl" t;Dh5 OPRp1#$T (/ԭaK1X^uб6L1`r 5}EZn_ɹ jmoy7Tf/Mk^jt amee~!J8ې_a4iWTLAxVMOmʅ;L|.br ˻Lq e18ZD1бZkSrzviinS5}C5\˻A~mx#敇Jw |ź߷k;4ΊɄq]b8κ@锑SHq{:`;zF =KcԶ+jU\ pZM89O X:+ x/U C'O.98n$7瘮`0.8%sV2mBF3/x65W5㡯/ Y&!@GU;UB+4je)€ìfC4۹e.'AVRLAK3735poRCZsSlxY#5!jOn 8S"6c> z'D1\sSJQkD8e+tiZ_vˠVv)8(eGez=S9dPZMkNwU0Yi"nG!*l-Hy.3KʦcP#3YD5n1UtT3>"'niV5bߧ'urTGG(_NJI+|{X! 26ʀ_}&S pGSZpS"(MZyciI@ǘ\Xv%lŶsv GgXGA*{u5y:i@>Ƭ1”BK:; CRSE9`kd8i[&,>ݬ9ƳH77qϾZOZ&趧feoLksgSɁp~ cZp\޻h2ëﯙSFJK{=Jๆh!\IQwk7;+<T&&WXF@W&TߩXӠkkEV~7[fZ>/ }o4>qNo.fd,! FB5aG K7NiȔ"_ÆX~ i;ɇ\i[]7u\hũR1&>1e-HAiIRk==7YMik)s8 [;cfm̓}LSLv% ![\GnpA K25`*BN}Jvf3hkLuyc *EtF̱lMT ZbJzszE 9quAk} H1O[S ]Tp:Y\:v 'n)Tj& fK!us$,4*N$hL;x3o:cQS,HjmnЈKs+1}GŲdж"`F=oknBO|1}1FFJ (2_'#}"3`@σ|ōNA_<4-7@aǶD&z"˟*s0 >MXU,B2 f:F00|,9V=h~͂{X-Ҝ ^xȅq =`qč9UR?p="Pf }GcVЉ*4d'H8y̧pg PE~Na"ͱ.,e,%} ƗRi 'ӎKP1^QZ[vVC|Q|&sxe<7F kE؄`93PP(%1 0vU u 8v0n^5>eܵL>l$ P̀9YVF󘙧{WN~{/g}.hS]c7]LQ&ux îc ])o$f!'+]m9ŇXP7]=2grX\Q(ilB-e|B]좪ڂU J!L ld= tl@YzN4Y;&_QX n~Z5I=<1 jeScP,I?0]3 R\Þ+o+TW1UgOZVvs^݃Į,88$;G!(e(ŝ`+W6Rr 6SûDS7~F_rӇ_ެ\ifaׅתe>1 )?$M^4YO"Q>#协3.}__F~C~[߱l7Npk1x׮,_(\}=ȩ ڻ}yXfg]MR80$ؿim\Zi49|*Lfl"%g\i>8p\qK c{"bmt}`]9@F㈺exi.#9m֛PT81hd^J<ʪ/y9Xu;Q%.b'.K lr'mn*@Wlj r X1vR,k{D`Բ ]x<ΓuGkmc z (Cpܔ3 ÛkiS1CЧtxv2O̒2jj3LdPӦ6~^I`N9};EÛdH#;Fx˓L'qiLy=yK=.;w8ٓGo8gV5rvn%:gvO^?HO ]œ e @]7J f~y߳`z;o'׸ |)}7/+u^,DT,c]38w5aK )5K0?QxZ>5x|gnKhğVlD@Z4AkT<-UUGm[lh0ż#ФG7=d{NV!t7}esl^E =-EW ޮi"kK]:(vs<ʄǮY܆<gLQ=E&5wInwJ:F^<'Ww{߭3b + IkEP0U{Q4 RVSd՜r++3F Ndnҷy'|,uM<5; -~B+qM>Zk] ҠN>[Rm3R̉=g x4k)x1cMs8#3cǛlT@r/Z`ԧRz,[(C\׌,`o joȖEB(\Ǘt]N8Gx'0Z o k.a :J'U0w[/:**-.!ޅd.LIS1 B~Y2AE.޹+cC#Ǎꄭ.px&t:ۼVwήxfv3n zzaT`֬P"æk{˂GLUFPڙq6et c!jA&eBGюuc,ihS6%z;P0[-hWx.{chbNmmj*)u 'i\6ܰĿ!6$ネzmODկ_|*ۉcuA8^qV8N6߁, EN:č|뼦?4imDŐ ^MS)7:.Ւ:6sanKޭ, $EȌ`HBMa<;O6~54[ܖ= 1n W&soa1 /97BNx fS]jOA#euDavG^K.HXb~ђ`EЇ44h{Jǫ>OyB_w/ל 5Y$m*ohYG4S&Ed3HeY } y*= nt'44q%2(^w\f#%I*lYb',v1$u6'f6A EY T~EQBM+/BBgve9* R+нO,~ ݷiHpVJ]O7ޓ6h7)S ˦]q/kl_]_z\||`]oRS-(C*mğн81py2~l+(α7{V <`YbijN5x4캜<Y 2^Hs;aJȴu ,\c,qkjmG # D(+D@֫93af]yXЈ ͝=1E K܏Oa독:09P `}.(_X\&l'q*ݰG7])@y!j*9Uߌv׽_wpK-boŜ0#wy/ό"5^m*@TQ--oU: ︧+c77fT-8qyU n(i`_Lb`dN83X$v-˪?,˜`j^QY9@AaG aSi`*LD5Wbt[F-FkB!"L"-S^\w`A`?4-m"[|2 <_G1$vVX$j=90qLy2sZp]~\G< ]Vspr bq# &i {|h eO|݃dBy%v=ZiʖL8* $v6 Ec/W~cx!8|IMuf6oSǟ-,T2Ցɴk~`jO=Cs2֪rT}20VAJ>.5wC^H;Da Bj =K$ רBdV$pjci)(C;r叉ܣZcž-;>Ojov_<;ӎbpR3CteCz>vWjBz}i֣/@kR?a,L~:ncQ.l/nfcvSٿ;w1ʖlJKc/Bjo\sp0%(1e)jˀi! FdOQMXBr八fj 6w)+=s|{w0ԺE_LM\WI,ʦ ͅ9 X,:mxA?00XD>( U8¥s"t/ +C21?;Ldi[*tR00Y& -ljUŻ0;h>^2_p]3sx06Ĝ2iv<^|MYoH ef547N5HID huի9göj!_mՇ0V0R-]~ FZ p:g IΝx}oR=BYwJmxੲf3\s2khy/Rn岎?qvP>I{I!TV2ʼn\.KiЩ^]͆M>xk$SʪwVUArCEaYЫ <8U`BDXrYYeTh|e~cM2Gv 漚Ne+K3 k-q?T!k&exh`=_3}+/>{cxsHLݳ_KB4~IU, 橛 |;OE?LT*+ 2p3/aYUFA g2ďxdܭ3tϯ WmdMqe/@+1톶HPR>h&gUX]Z&1C>1iq~5$y} MoJq4չX#fROhvLȫSen,$n"T>dnS3HzwxžNۡ EVO%t+)kRE1 p*z\mXJ 6u&O 4, ET:%mߋ.#mm#3ߴe8p{CĦʏ=•AaW4ⱜu.Z(7S}~:=7+pa~4U‘-h (*(C87)rs. ЩM5R͔lFǍP>MjUÆW;}<\w<&MxTh湸b!Id{1ꖥp(AQl` pC͸rn?eu\vӤ06DIܬjW-X5s3ůwt:\kUmUlY01*~/b}1 TUE}RhԭuKn (@/+c譋<X~Yx$`Dr@J:uXe7WZMV ^2JwUr3gXhR>J˙XN?s{ff|ACY?. /IKFUoYIY 'u_N9FlO=4%*_Xh5za pe(5dijJ-VCnr*a]$\6)*=CLpS3c*U%Pj2}Y)"qG`q' b#*{okk=24oO.[ͯiTFHvV]B{jij/Pa D͉oSR}VH_5H"kOq+rYMZ# 9RmD/ Y:g4)UK8vNᮡ?DZ Zh$&ef1\j H>.'0$M>gLČŴp9p#tNA6CE`ocZL?pO' Q(ABCg 1fʖeM)8\FB`g M7Y LH#(8&i#v `{ 1J6@N8aوo1bA&Ju,CaYg;ƶ}[浼 foJ(@Ȩ1A'#t~0)CH)""[︉k2nu!v qyM#74Q& uNĽ>6fn +, h0HfWuboDAzhڦ/.S,x.p#dWܤV? %Mύ*GFuVpJWZTh$0@ObVN9s" \ZQhp׮"]Vt5AFȂ  F`PC>,89V4 F!<*ZlZ,K8-S>h֠{ktްSta) tVf(J& ̉' xDlUB _2l*oW/Zf3RJM[%t]mn6&9 J}X2j UWQ-i:g/;?̌5&?iȬ/4˖܆YpEuXS:Ǩތ,k p"D"X 갵!x.oۙ#L:#AcLI c79 'h.G02ϵh[Bj^dYi`QCɫG_g>6\׎x|Wvq2M75K=s4T $ ltҟ’4%c?+j[IMURw} k^ORh-۷=Z#`| 4I:a#lɳ8$DG~Ҝ\)1cw( tOw7!t&77wM(m,rهԠPĆ|!TO(IY{֬:mf@ Toɿ#V *XSVl4K\%:b5/S _#jضoo͗$&'I;LjpIcuT]׼ 9MZ`Y#W6Y"c|d6*RIQahìNM,Ww 4 ͎P?dza䝗 ~A2 ҩ:_jEq4Q1KFz l{̉`UgԂvQD/e2aO@mԘ9#YmG=&?l;y62AJveV@ƎyFE37?r&8© IĮ9Ec90p^,wT@ϛ=ᝂGiq15^\bq9S7JcC+;P9XӇŃɶXٹ%Q'r7{\o߭ϣ lN+5?فc:a;%(0$!I0?GlwCɧ]m8 g9"B::v)q_&\̱>ǁ<`95[+jPcbtP2 nb=4>!(3:d[ruuEED8D8ڪLf1(FI'#WeH}vI:.cIBFA'ޔVA"38$*@U9OqI4|þܪĨ?DaPQS 1S"g]Yó \(Tj5EhbfULVҠåj2{hV-M|'uR&0ϣ_uno6M6RQX]fsṯ/0{ɝ?grL4o2`CĜuu5߱o4uHqPQC#0vE;S'Q ~hrT>F(8RVqE X4%f5U~mp'IXA򪔻})֖YYJ+S,1ڭ^)~GSzo&u|פ5:]7pBΏn(QmŢ돑1KJeHSr9T D`7k>Eb#t& /߮`?dP8V =dX F3ѻj@ 5ãgO',28TF=*#ͻ*<>DqN]96q_eN#k6K&}쯮ֹ9*!yV0SEəJiʨ+.@JyM8w'BNU5 uEPM=Z x8^>X[0Z`L/6Ӕ9`&O_E!J,)\ 3k#jKN+udLcY)wOsHZ;^p2:P;-Ԏ5+cR$N>hOLe"E(3tu)඙I, x%vWrGG"Y_W yr\alFm ॡ?ph~)tO&0?KHR況.8>T%2 d!'z.n_%NDx'&M,A=v@]3kﵸPO;eL5Qк]INJ3uv/\HX;I2\O.PnjpEhnP'&YLWs1<& 7`0.t*:N vv „~~atÆNZܹ,;.yhkJZl]}&qS޶'ȜiS;KRz LUnjnWtGW N{vk!YJ'=b摵Qr0Ӭ|Yl5sr i6QRhty>'Vz~ЌH7,r̋T!i{fFa/*O:P謝 jғ̩ƺ::(: (CG2ԡsyc =WfUJb[W{ʛ],uXȠM0;tzUd=ҷ鲙§X핥SA R0Qvƚ@kw_2]Gqa8_ `7ݡJIudA(90 rXc00T>?mz_uEz CJOeJ':L@'BȧO5&EUdY uۗTCnqD[.ʭYqŤUo!s}jJ3Q/h 6>17\1fR]'Oa$Gϝv9r֚ ST_@hO_Pk Jmcw~b9W"(ђW5"F#8jX{1Q8Ykk(! n Q+$G[!XI<3ujU(ءpLx8CU*0dw]at%v8JϮ>N ]ny/ j;Bԉ1%xy)˖VUqq|;fLt*UVQX ]p%c^K%Ak==s} n1RTRt#Ƥ|ք}e=:\:oZkD0/e$z5}~zޒ-k<ؒW/VeC,\h2\[a[*Qncܦd#m iei]CÐYTWo5Oi;&\ Vښ9L+&cCZփB-ln&"Ru'fu"{C۵$XL֞fd_[:>Nk17~)CT=gp$KWco*[LuMP#ŝM1i a.efMv14sR)ET}b*>t%mN;u=q ! H}J̀l,5p|կ :$'|o |]ZJx{ms]+.8sQK&VX+ڣ}rCkU;g p߆ 'X̑T$EV 4"V_v].+ BlM^2^$^tKs4T@ 淿WCsHՙ 韽,@/9SGIR L1t8pJCJY qn4'.u&P6 Prsu3:cLͩ3fwn]kܿCnRL$BɡZ(h{ O*@Q=X z oh$l㚻gTєNgsQƥU2\U"~ }^gv?F8$<#6=; +u5\qíɐBeڊ^ALUJqRP-6C|KNI,w:\kQkX9HRw-nin*T@ю5G~g Yu>̵/K^ fA8;zlȓʙc gLadzOTJoq{$)%"Rwoud*0 n^U^[QD`q (N '⿏JWEB>sudT:ju daa:3 y^\Uӟ|3&ո9ƭZZMu yA8=bX)6aFS*qPB 0!K^Zuhk+ݚԊ)y.Dm;im@b5مc*~rF8mB~rJ3 cq+QTJs_5,9xcZ}*41 md%DcǪOQWʧG vķhz25_8?^M>cjNn iz]gv4&)~HNIȄ1.mH[.䭏G49sPĮeʊ4^<%5yXԝCpFW Jf8+j~^!n ɖ*HM* !/.Ko:Ƀ .PVܣf<yNJ2ZD'7! buuza8͈}5N%}ښp >\p@w.0~V ꊹ#E`xxI}T 1?ܑIa]N+2WZRtI.0us~eTx c0Hp.|,4)&wmb[WN!xzinAR|3.ƒ^1[wsw:uWѱ_VP!ÒW+T0&6ǍxS\}W7tڌP\ ; 4.:9+VB,f"I]^ /9w8`)n پ4ƋOe`Z2:k%? `,U#_7;ۆS®`7,dϜ;y!KB\"ʖD pk ^Q$ &x󧘞'b9q.xMfKo0̏kV9aBٯPG{3i~.} u]p% Qj)%xV+ >4̱Cފf8ohMhqN)Eӹ0M]}GPIP3ӳUA뤅tIE܆| qr0/C~hw+3lwۈ?]h~+Nnc k>ҼBĔ-,i`9 b[%K)KF8L픳ZH,mJ%Kr47Byxπ:&vP8vn5i+5g.ν7g^߱;~qmhu 8nC`XBþpDD$VUD.d]a Qą&WEw*TR?SH XG' ۗ87O8UTx ~u ܳٗ1/krpMARFVS$+gHI[s8Cg ]()?81:(;k AHl "btM!3\OE w ,rWIv5udSHsgܲ͐oUVRݵ>+/+1ܤ%J_5?Ÿ>in ΞV:)P]~NpuE@*RTa ;ofDtK\T7mT${ԮF"ҳms fg=4gU:LW[B #Fn(:b\!)۫5{V mteK-6l ,ݡ5oH-! cDȕ7HY/!LrXs@Q@lr=I$y*;Zti`1膣H,t;jRd%w6=ǒRit6xGc)+,[' ùVd,R?U'A+a[ޗ=<zd{G7VF֧5JAO,DMQBsW 8ixGT~>UNSWP֕ˈR'RaD|L]2ZeLV4(Zdqe3 ܳYPCQX;p 3K }@p8GO9{S!C.Tfwƽ=cZAC1U,ة_|W7\b[ s'#$2xi C7ͻWSTigTpMُ=|",wb5&SS,J(u7u>[g 5`EkRUaRd_Wv5,#MMT88t>8&|m9J<tO'(Rrg FLjgpA͸ eKT^$G_[2PսUHVԷ'3?DQ]Icȭ ԝIva!"Vfuڹɸr%D 1"=pya~[DR:v=8u,6 e7>7|hfk~']8!JHiՄdmkd5s+albr]MlB 8L։27paȧ pt :6wD>5L-,R"Ϗ0xnGDDVH#? fT?8D}!ǡD}>ckLIbFCc/ Z|U6aU3xϻf.흓ܿ{wo6D%Z j|¨2p^ENU`mX bўn)˩cjf[{!reun Fu $ZJUcGc[ZQfRlnKXqZ`ȪU'xd/ hWS2ʼJ2${S׮ Ξ$y>ʻj-5G6X]Aq~#Dv/k]ep%vkUL[hY-.a. g`;㝽AɊݻZR [ֱx .kʨBTՐPdTB~'*%K/۸|\!d( &?w1+qC?KgOn2]2F&X/,rMO CBt^)LX0]3Ay+ϗ(F/k$9?'zʧtu-H;[4 R\Zm$-NyH?sN&Qsp򎅭j\ySA&RUҙ&<^  ,8+ʠ1g kγe[~r3Ki(wȲYiܯ*%'?BAu= šJ\gCu=5"; &:ֵ:U %7Rd.ƫ|1^?Xoy6T qiOp g|𙊖g'] ^#ŐOnBKUvzARZ7)$i(:$B1oQd 0EuC1.f]x$#"֊NK![&7nGqNJl&,d AE3~A 7h$~ԨRԵ&Et>zq4NAcR¦*jDCa쮃qk-2@Ɣ9lP*AoZvWaQXsm)Kr^ XBJA`7 j fd^wG}k%`7s{GO0ԶMOwl]}Z˜T$;~PU޵CTJKo_^N@*1α8/yb}NG?s+:(&O*}ICchFˊ $!rxN}hp'Htے8BJ3#-ɭQ伄:bI/hchu?3@l/-5ߝ^qӻg6wtPJ.p\aȃh)$CQL(1QȤMeIgQI?R,E2{s"*#ɗe=޿8됤ꏊk*kG a:I5kP2 SY2(Dx4Qe5{O?E ?̟Oճz{^i!O8֯O l4ۭ] ;q|䄞X]qiR/} ͌a_nĐ>ti8<4'b?:˴xawqٔz{+Id3-;J\rޣTM"D$1N5 !e+fp)N1BOO_g-l:EM":C֌q!L/! s fTTTqٜnLRypodH-PBƇpVUyl[hہꗲwӨ~OV#a(vM8gԊ PK߯oJ; Lx bhvnOC}jtx[qO38&a$aǪ?S4u/l R.O&Ք5oGfׄtK\)ZnC}ɗiDX<_* XЫdʧpulѩ.*aҰ!'6F/a r.wz$TKXI83(tKd Ch%7-SVagk-xruK nTORD}}1<4/q2k Y%Uf`7߮tg)v _682+@6bS yX Gd}rIyEdW7ToO)'=Nx59O^g1 & O9ב ʛk*;Ѝ8 N6kאOxgIզqLc,C XS' {t]mWO dњm.oE" n]Ԉ#PK45֙Pǚ Ǔ {$3-G2"i:Pvk&H:ڃSl"x|(uVpx9 jÏ أ DpN/:{rwRBtpLbʷF}qJȟ1j+) 9 \5gHc; Pu. T{ r{h3a]xP3~ԟZ#~HvaBh%YlKeSOh++5я'r#6S'N@:gXo_{tɒ1>Ět 6MdLѐG9fxː6K-LjtSؿD3亢eVi \uR 3rI[s3JGuVz==}/&UP7As /J86 @;-{o^W[٦n18t^ ؚ.a+{8,oHR,~W?=yOXdfr׽6Vгi-k%ԅ-ńWir,Y5OYe gr hvL]mp.3Kïu;_[)5ȫS DdSH@#1k)XEk Lhqd.mf_|QnIȗ-EZeh$٥d`eM—x޵$A.]-A,̠m-?T|ުb#mx.EX]=\8UݹS|W0޻/+?[wg9[;fp\9E5 U 楤W[t Qw/8D]¢Y\R"noq='två{1*i?u4i/KJ.,yPڔ@M) 5nj^r}I⮘U~(K(>7tSl4+sRC'mć*t=V!VHyY}dlϸ ymVʁFH+>5X3= 1#yRy^+M]Cl@^su-`KFK6pVkWh[:cY*_Rвy%PW  ;զb]7fKrW8ŻKJGWp0,-@語 c y6]s9X7ĘuL;ò]3;cМ~ 0QtWZԨ__p)+SOqUQ<M'K0ܜ8bJpl+[a>{C)YrfeawV"+ %Zzs,AO&0S+˔f8aqP\C21IB QWn;2յuA>Pě6o9=/o6 bZ44xyI+: COΌ8u`9( i:1d۵رZUO[)u< "iU%/xMm $K/@Ǣآ*\ T=Ĺ-`Gu UF*YR#O=]AT, 5'zx5 Jq(a:qYΦ <%1@8^s cbUkH|V+0ev{P/ŋ*3/XX`X !O&9ed7=PyAul*|KeCJ5-(G0cj/` :wVGޛ Xĸ2&n ԲghN$j5$Ʌ2wzҞY;K0m~|gbTHU"k)DZ{'|ЕhsR^cr?ДNow ;@ @bCw̒"Ҥum;EjOx|?tPy,0$dRkzϣ~>#x2#?Vc=I)A:fdtW]EY23W0t޼ZS]C)'#aN!WU>'jD|Rf_:o;po]B`'h&cHb":x0ԯL>~H?g_lE)<)04j/CU\1:_\c3&⸿@_xWЖB,oWpm&z<6T|CnW4׌%ov(G(U^f=&$Qpk5ͨ鿦eX/ѣfJhEKzʃ r&N >x܃ DB-Xe#BGN7o=Ē+Br9{*⽇p*qTZ9)ǀ-AW99RˍT,ʤ|"կ&Køzx'{i 3WiLp֘.&E9gwF;ϙg՗giySk YMր" g,rbJp MWPި,TqǾ]Y@9c:`Sõ^!^PaJ_:sճ] rs"X^g+Ŝ6aZKG|VyմGzXÃh1T `Db |= xWR2d70ΦI+_;Mx#[q+{v%7Y>( g-h׺Ԏ1bLeۙ)xDKm37BpJB/@} ^kjT՝r؜s lNht?Ж~ͬ.lYz( S9(B|x\:xWnZFԬzu `?ͼ YR1cKnMUjX;Ê%Xnߑ4Dq i&$r??Zog;'LwjNDz Yl9FG؏.!\c/exѦ]y9ym9N[2|>cigO!jcQ]nj:tΈgWtz:֌w}xT98ۙؠ@[-Ľ2Gp3I5rq)"qK.v1)|.;W>y84 O&jZ,C8#rR;;¨Gt"!*\҆o7@+: \$aPg;@7b1C)}PLiz[}09׈~#uG8DFu'~óN:t+r6զɲsL'Q7!oPBd-ЫQ뒖|4kCnBk"ĂSojZ Nnɮ)ij~'߹\ hbǯ;L87[hl@\"qd=CLlժc&RFf( /LEwc dmsdlȓ*tc{$cK0Ei0ޕ±X]#Nh 5f"Mun8&01W>* XxL;(Ij6>as h3t؇4˜0 @ ?Glf%Ҥ<}/\n:^AS g'oiNaoO;aJ;;{lJ5:85]eORl>FMu ui:Ȧ>=?z+XR kdzS`vJ3?噂L6=uʰ\4K)ƾsɡW MIX.lWXOqq:Y$֚&"1fd顤vMJVO&}83'?c9_SNlwZ9 E.N P1cݪ@P ԋH&c&:}Z# >M+?ylE퉨QoFV gU3P*[zwN?>I-w7X $+gM4[Ym |,D\;p̨^.an 2&T^\NU]+fמ[ xuIy? SWCH{ԧËmk^xwTTɅd^U +d}&(9K"D*(H @zqUM@^@G&c&4ql[7X"R'3>q#. %`JA*s0C1ɕAShv2J#g~gDۄ]Kݙު31dqGP3a Õ9%PanFɵl?oF{j&,r\{ QRj; AN}X$rxjp`&?f.>3p9+Z") 2 5 \ylLSҭa]׌Yѡj–*VwZJB%tԮPײҝ6 p ۰@ؚ'y>Ẋ`Zp}cFy0]=$=Eh^ůhjCP6k:50Dzn^|;A57^LG\R>7)&h4h-ZrNrz80קԫ7*,@6kNKrO%7D|\Jκy J\ԷqL{L9<=uX3`z|kޞUO`o ^nf_B58UY29)3(KJx)ײQdG[ZZan;1Gmui }E0yPqky<%I`W֎021r+lQ%6w &eLt=]8V@iЎ.zٓH]psjPVSf ū77ɟ$0nofвN9)@o~AT7%x" q!h#/Z^}2RSIwEp@BjD~/V:O>1{`̰Շ(ĹS^` q!G\5ho o~9#{@ȪNf ^J%vqAɜœovKm=NBrgúryF|?;&W0G(6 Zm] pq\iSKC-T/l:9';1°c5Aկ %~¿-Ws^SM#s(JHڎ S'DŏvM B~5wEr8zIVpӾKw3geɷM) "Ů)q_l]=+ڴt -˽~4`Ԇ1 @@0pܧh3. 7edpG4"Sm1@ao|2 W)_϶`gzʁ-y{SA^è|I@!*E}`NB\Ğ=xXiL!btTR5f t )y0}ąh=tKrPIzjᔻ/!}.k qgDzeJ c6VMsS VUgm Ν.$+7OC=?9^>N%F< 7{Z'uʑ*DaM̀HqrV`/VQPV¤dzQLW\_ ˎgI,VQIU6TݹU?+GT)t)NcI<{Qڮ33)Pppi>ʬn++{=^{gh^".x)T,R&d͗ZJwu,t9(bd Sq_Qo-"TsbeU@5>DVQx.ʣaFs!&16Ot{K楙g-培3M+]I`qPr Fӌr"*4'WyrHy]%>AҩFHrʝ/L4QuwU`(1'P*'(KbCxL4[T*W9hV279@`@TRH52:?$aB.vYK0{OqN6O*aF(6Sir_#utT k;VosIkH~nBИ6͈b698衍 GTaW0+[l Dʼ;|LʵF5I4.H> _ 58ޔz‡ tjQxO)xU9Q_P/iStfYB- E(dIe: h^e23up D߾CJ 'ݛ.~<2>M8ǧ5c:y$H?eI΋&)F $?G5׎|S‚nd-P&s^#y\B dL7˔ФEǃv$R6G tpg*£+ˆP&@u̢hE0Uϊ.es<!T<\;+iDL2k0 kksyyR WS)C}!L W4_a<軮f*V: ~{)a>E;&nF2,^?fbwn*/s,pb>48R(|[zI( ELvV ZwE;Z/^eCԤj"Į:.$* 2˥8D.R^4#T)9*ƨxOub+R2|!.p(lJؕ]WQ]tJzOB3`M5(v:j4u6o⊱m6y믩Q؋6|R`63gh-!=Bcّ/:0hr˶n1S n-{zϫ.mʢZOђ0Fp1x0at<8s:'7,r0(CcoMqD/U )>cy 1f*`i*|Tx2:u㎉@#fl&Ǚ @aSJ5Ƨ)V}f`I̟>X֠B}q]:Jĕ> PԐ.oAB(> gɞHxkj(*YM)`nԧ-\M[jr,.QZ: b6^Gၽ~d`@P2:1 h/0vNbl*zXM\Lfԙy5t^UkG 1$&: uUI Nl^@Fpg sWk(k߷bKm-4^,3ta߾̢3M֘0c+[MLZF{bt.CҨj(q6$0h]4 6ʁ?^g_øaa wsS1緞`UV#H\ Q0QD_5@yk؜^mMdXM煺FN幅01.'L41}H-VxywO7K1=,c͏Zsd2 -Mn.C9)"Q$)M1/6h|РjF2Iml3` IL#g{JcJ~xFG3esA艁ҁ([9ÂvM8ec=OY"TQ_772)"`WHv/f;6[f f3PJ-XÍfHbp?Y\<`VHs@Uˑ2|q-fQ?WLnQZ/ˬYW\%ԡչb(0l 8XC% @qm)pon.]|p=t:ܟZ=hQ:>tiEp>UF*ij%#+bp-(Me%^-g7X988]"ƝcQ8$>-C KgW?d |Y=|p'󳆔9+g:x)zRyWUU]fJCrhrfO'`:gI[,7BFҖ[`syD_ji<24&3;F= цђ" +P*H_6χ=HM_R@a <88Fj]$i?-  )It"`Rr^s>u\y`x0nf,<R.Oru6ִyI٭176 cM`&6|> r_E5)W)oVB8#ctYbAX?resC?4L .Q%kԩv^1oⶲXhP/PAYib"]w~@.Jhӄ7vV6tpO:u6ϪR4օ "`uS[ =+p# Z*d1OҎ߽ٞOg-zѯ<`4[CeC ^ْc _ҿ̢60Sa9'<`"{O$C0M=瘶+O(w\+O#r-l4ĮX:q6&YU_ChPF'ELLT(cBxg6F/jAy rS/Ә i49SsR rl?_1V[&&~Ú0e(L"4SRKvg"SpLYѮ:KAA.rtWG#zoR[s7`b_*u3A)S ҟV\s^pV \Fsߐەw~9 ԭzCy4Z~hՓ,/!LC^bF7`ZLa*;el;#$+Va4="z4Ǜۅ! 2NǖăR}jHm;Ƌ&SS&云:tٴN" z1,)?--[q;F43}nh tsr&#͗vÝhݕp\2'D\to)gFup'iMztN1޾w9B;Q /(Վ#ԘBvrKh eP PO4'tN~}76a`>7#nHظRBL`8m8rI[c/1'8bҮh]^tЦS.J,2ЪNkOP%Cv0UiUHGuX+ Ph{(=^ID]nٞ-8GbI\Bs_q5,gB4r6! h\V3R7sb4*[7o?3EՉ<n赢Z)mZ{p8i2T "Ц蹞6ii sq$%z0=vN2,a,=zS}o / %҂An{&2R$7Pv WRkC_U6B&>qU*_]벮~l}U^GN\$c3܍;8[3bTD(k&'hw ]T\\i$8'D֓zNY@t)'nQzb.?)<ޫoN3edʋxc|O]-ndQ1DgiNZ~7R_Gzgzp'`5Q_vR76Zu.Z1aG,קqƗD|pxiH-.e þ/~j`{9Faɫ tQfՑ*XryT|Ax]qRCw'J'!ڔ7ʑ(463_Rdn6 $\5;O9IΡZ^L ޿\qZcݼ ݰz$Ux˧nxsKGdajMvp?rV"V2kк/ ee]қ;/ׯP7c;,fD k~KH#"2φ)OQGDmEߞ*[Zꍢ9rc"f@MSj{q8x=Q !?a쮞gϡ.-NY1KQ́#0P;x6FD:?LdB N5K7kڸgjmm q4wh;p ZCd ~A uh9T"fN*3STarW߃qe^sfZmQ~yEig14@s̗ | EU^}h=.\ٲp%fO> K!G/5&/uղP|>3'H*Nr^J`nb5~L\Yt&Z"y`۳m ]c{1䒾+]Ul>Y*o 39UҡSƐ& "lmDUق®׋w]Y0tRLQSCJhīgT(9b?0F ^B4ٳd]fo1=K*`nk>"ٖ`IJ33b/!P?^5*^Ma zN-*Q:X Jq^K,Dࡋ/k.o܎xc4Ƞȍ0{H|l0tXqș'CY`Y :/U2&9{7;E}V,E:<,ƔܯOkF\N u%S|Os \Dk\Yͫ=dMSyJd{0Յ^q7[Z2";aTkUPUyOJ;C:Ea!m TYv6Ut.}^K6zܚem:$T'G ImcHԊ09Ȏ.p>yq 5j^ŜYfśQ6},5:0u"-MY]L(O/;eG we]\:obpkP(\Lg)bh*fTYITۆ.9l/,n%S #D&nFt6RfDG\c ĭ_U -(K7wC7*RAV^[kF/ ^CFz'l߈+9e2XL=;r=? %'ܵEɏyVMC1$ c8ǤW' CsS+u3g`"L$*`Gµ AVW1#<>فj%SjJt.>#|wlٛk{.ݷf7'}'x`8눹?:*,e kݽ?E}`u  8j rdApKJob]<#( kgCI8(]'bNތɋ v*"-ߣh*=q2HRq,z1؏8!6R`I^ Zv; 'ʹ*VN"}yfN _ _2Qs tՊ3zN4َ+9Q {IOq\LݑE?<)Y5 Xq]=.&|/Z%:UQ<$6ӡ X|]3B.U?g(VP1${4W*TJ+JQ5.P,EctŸ[+*[yG,V8^8f/AEY<9( {M.ƪ$PfGy)Dv8nƂMH^:SP޺¡#OxYU3PF h6{<>!5ch@K15di/Ç[X'\`@..Ku )j(ʪ ʙ֩+~]!]F='C,Գ&A"㼒ڷTCRGNn/ 64fd M'3*[g'͉!DƃZ,%ƴ,6-[ڔ8&` dT:±!ڢB\8}Zoc)At/3L5^vOEC,xY{ܗd% h\ SLZ1xm4Id5N"hȄ~=.㗗}uOtЙʾCflN?8UeYſ_T` g¶`> ~U.aH ֆ%ӡVTucڗ.1R᚝I/GhJ+1h4zv֞6OE^]Feg-@Ljy Hm3*T=SgeHxs+_Eg2$QBl8$-BK5f"(eN#Pj(8úO/j0tTCI$~:O'ρΝ?>3颍OcYOQ9ƯjтܬK6Y<_9+fp-L}h-Wq 6ц\o"YANxW=.|8ZR0*j俶E/54CaɗЏęIS~p|Npe oҟ aDz 7 moM+Sb(gEozw7+J=)?%_)rn*fL2ޙBQ,sVuk@_M7iVypӮ} ^C[{ qqF ׮rô(!6%2DIŞpƢ531X7ݥVW/4>6I`B˘vlJ)\HܤL+?H YTgPJeyA++NmmUQĭ{L Af^J/覄^Fnǧ:ZFɺ\7d9m9#Ηa2 jB[ 9w Θ}F2gOOw6s; ù9Ҩ.jpy]J=\߱tI]u;!֓PK/c]) $Y5j&?h+Wlzĥ7>C6"rz9bk:-P"n]or8YŨrG=Qm \JOYx Y.7N52^pn2)oUqYS^yt(fmТs91 N*iY]Mc7K< \?Y}Q4@^.u`5\ ×BNqQƕUWfMGSlļ!*S-I됅{o~su@ceuf n QB/|S(tLH3PΝck_d hm(&Nf鴛•:JWF[kYWQ(\> L)$_ngxUVXA]Z*I!T)N"vNvoȢPxol ,RLO8vӱ~RfLwR=]ha IV(%Qх@G¸*:G|@m°{u]"1P}R8$@`p3,! }AP;w+2w'r hݍlO2xdoyk> GbϦ ~zGp6 v8)H$1dTO0UsheLI%\(*CƦRI0 (wI*ՕÛ}0-;<[7듄`{ d1D|_opR^t9ET6Xb4cJW`Zt+o!>3SPqnΧ/ e;#騙S~TK$~>n(1kMLZ镞gW eSaPSSWX /ӓ_Z!wuDV*^ǯl k;y^l/qp>A]êMlUE3(9س-/;Mg#jbgﶧc&8k5H,n1Tْ>z^Rѝ?.G/` LAᢹrE+pBf,R(pr^+VE$]w|LV>*+&,j' Ӳ9k%Kʊ<Lg3#AuiCTG"4b :>8>&eF@疿"A0N9tn0׿X8 |ެKIأ̥8C`kD]+N1uHLƊxw2y yǙnQ2>7m] ճݒU!;uO9P HMgOzC%WkPB`ÜRl: ާ~zxE}o^h9`s"ף ?ш lFԧG=]NhTX_߂5pG ,"ug)E~'XeqMN,Rpy]vv`M?.4> OR77+bxƕTn'}`~Gk†P% 7)a+(̴ƪZ XKOZoOtg2z 2)`gև~NI M;LG+~C\0f$bVx eНb,U Cb JɠKrɩNƦ3ң p*?e/R{ۻ*ʉJt2zK,K k>T]tHäJW2D| 7K_I$chG_>șgGm#֝Hn&<6ɸG]6tLMp_⍄5>7 8HC9ƥL+TpU0^)֚< P{3d#@4^vN G iE`ݷȬ%l;H vy"~g}>ıL핡J38ȱɺlS<z02_dbT>Kfq4cZlW/r,iYu`8k6@hɱ'ӇyOA/->ڠɥcH1sX_mEr!LX#?XY;E3M.i͑C4bMY!x0̔'MPk(y X=-)* tO9Hz\cwN]ս˺<9ݿY 7~P ,5sC*= "x|a== $@qVKQ5 flBߜH.jO~]_:Wa6[ jacS*wNs{iGÏkP_:M3e.>MV=$: 8罰{Q%.Q0+zjᩲP+H^F?1 ?BJΣҖ^@5 )'t60:h4ڶjiL\m˝:} HҾ f$-i w ÄF[k-9  V8Q9s0@ہ YlՇZPbz-]Ov]kR,lS]cPvy(%z"'W[_gq&c &ȬfivEC [#qY0/'@\=\;5̏_KG>~Cy5eUhRl*ԩ3Yƃd,>|a` U!=*3xrzj }5Y+ .0/%_MZlȠ'³y{2j]nG >Gumߞ}ƙ1xuoj g^-*{=av#E_\x O(=|F?Wo Qڂ;Ed`%gO'xMeܓ+Wb7BHo(&W֜0i>uv:j'лoΥ.:c2HZY ް?LCƒh1%X8ό^JfBF(8>=,KrH7퉣`}`@/u{ݯvhgu+ՔKU6Tt їOYht qJNӋudOgxK<4۫#(}u1v?-2"v ~ݒp 6"c3T*섞O$!g}1G/ƴ|k>Eprb,$ܑds8caAVƜ߯#'h tdտ=my4/gNaO)4TSBXL[ǃbM0N>Z`b1)c6{PB._JڤKv+W\E%58-QŲ3ٿs=@,jw-XDzð@ Ŵ lR1=ab兎h{:*}rU,gy6Fnt4k(j/^92c^ǂ{@].e3{LqsZ:OT aN'y̾p^ 4D>A7=+WdB F͟: 0$V}dqA{M 1xשd:^cJ!t{I+iaHVx'>Ė}=# []Ckos2q=6!yx;=+{3MAR'6Y&Alz7Dt^@nO&5=7&P@v}&?U[M6T.8rF.5Z^8`βo6Fgr". G?kO݁xC`a}1==*YS˫;sWթkMeurm=0DnW40T:YxHrVsFZ6Q+Jm6le'[O{^=DThXr[7B6>-1drM=4n08oyI )K.>C1xiQǠ8kL`Ta<X 2 } sXGiDwRshZbv/SNiZ{GXן љhw=|1JȔqO(#TQ X;j$Nޮ$U=+TGNgolUlVN3Duv_b}PLܑ0%~-5qO,f=)fsݐ AZ/E%Ywܭ c-bczsq=1|ELXBD8]WܚělyV4;x*`w$NF1/MVf#ηV Νu.*OU\:'+ss/˂Y DVׇj|^}_p"`&+raW7s9VVuڳ;ȣ_.9ʫ-!?f nl·:! )7gl)zg],s(o&mB)-ou!NƉ,gЉ*YTLɸ811:H}'uo?ݼِ ApQ_8!?9u*;,M.R h5d+rw Y(i23Dl -A<$X7ߌGʏK)^Eʦ(͡$S<iFUAX⩃ތɹj5)$_A\׵5=aNpmMGF!6>[KOR- K%{.Ak]REMVu|w_2 %OPK~Vu?^==|ق =.xH wK@D:` &LÞ#6f `{M_{&XaFL;"gRf|v wńB@vFPI٦^9ETVz`IHOٙQoܚO zȅWM->c<,D3VOq>޾d*`L3 ?~ cm:,o~jw]8on+=Xpt-~w:[UģVhNg] 7a\`6%JŭA+A &y/ʢU-`ޱ<7-8{ {fSjڣP#B?-"}SI=Y4_ne$౫ {Vi7 (soiۤq$I?Ҁ86O.#)KNod(?J#:^wi s҆.yEtnn \St1SK◦kd35ED_"/liTuR_ %?C8f-f #jLYA[?aȃY3t+k,?K+P+?}p8=\5wj_mq<ӯjoyÀMnɹITi'B Pu@5t(1+MӄDZ5sqffڌbLn H߿;1~]#i?14Ɛέ2 j a>H\yZ SFbć vrFޫZd-b+(m+bDOF'+t[J EWRvQSnoY/hdʆ+QZ[Њ56Rn1*RцT։B1fn<hWDEtfbwSV!T۰hal#ub;a|WiUP5;1觚"2攁Ue~9k*T@S4V=bנaTr([f\6%d By(ZQbC? ) ע71sq7ϖqF`J$0bKO?|O%<$dNR;U٫GJ2Jc-hLY[ܥɷ(PꌛpjSW=6{JE \Zy,>(nal.o)f(jh|W1ymdZR4դ/ UM7ЩxQ&SH6`N;LkzV^Uo*u3:_nO pU-IDshlBH=TXN6oK܅B1|9䊁T 07q/tܣ]gr[՟UDdDQ!xD>aS _C(0 8uQј=%u  ,$iq7oN9i Bhk%'+jΖvHG.I=);5j{%1 <͗I hMa3aa!ɞkoOu%fzc}~+཭ey{-P;{|Q]L~p&gANkj^о} g'ZlO>qqttl1/K|C_ݓ@I֙(qm87M5 RY"?hǨIn!9F5^?>Z/2 VW刁JjK.AKrH^W:sW(4jҡP:) |aMbcoœ1jm2ƎpIf.йMJGFQ"Q{ >IJwzSJ# `֮eI-OSYɇ kjeZx5kε}jڰC@@?2^!=^kAIĶzN9cżnJ~43El"X7!Fy!K wIa|Js:1s:8xC)*9RQق% qLqE x>#Xt {'bZ+|Ҝ~B}}wdK+I 1vX "hV0-4pc R>! .kof.*{klqG*sbYhUf1'C7zomxC<:9MY#6):vU.5IKz{-*ޖ9p >")ġJrxa>Ħ} 9~NX!x7l>.:'형S~^oފQ$ѕ0dWj2o b-HP)w[_@ .)oNF?W%^JVY} 5Al5pí=w[%ЛȓxV๬w gܧ*tZ %2yg"Icmsyd$k_8wqhZc]=G2*zDduZnxrHtbYWGҌSaEɮpgR|֛$7Ih>Æhw0WUc KQ N: yG|8>&;9Oix@i D0 &/]gn _҈+U=;lyQ*!D [Vzj ,|nUq/pvp񬱍 A~xxu"b%@W'cKN* ҹe*ݡ _ȴE01M^a]Z|JݳtNr*BL3Pn*Im#Tte'ZԴoٯVʢNj2e+y2ڵmh%z&~γCi$螑 1Oܢ}BzaF2;ˆQMaO3',S*]C(yR--:Ne E͗yб$tt3C1Rܰ 34pv8ގ7F\$fW= _N;Ytz:WdD_׻$-{gRV@CvWmb$]GD8y0^)~ξ6O|)-Ja.4{ B|k9M.U֍ˆ`trI"Z+usn7_41Q$"zF3ĵ6'2v~rl`z*(,x(&e&pPS HVY `!$W,;]ʫ=Q[6;e[^P.8e^;򻯈Znbi Q:PduUxk4nXXbϣtQS6'ì()I7Rʯ*XEeR/MHh) ySM;lI `*數YS$YȄeH#G«#V{&Wj7f}e٪H\$e$H>{Y-RYۿ}":#5qJ^hFR{rGhrl貮hy|!$Dk, Gs@lEa%*O=3 ncßV>WDbn Ri2̋kx-]yO8OPįm+ x< 2  -e\Й ^m0uFnD |ayorRy9]κ9gVGdo=B9 ʹ>tщIcN~:70r7GVۢpg7 P11yRukq,^t ~З?U$g[x Yq٨Zp“L|!&F*K'9jPyେ^jfA!M$r4b„-#Θ/6qTW \ ?hJ]h-\kQf\=7ze6<[T=z)5^ W0h !uW[&eq{| 5wك${5ݙwUJ׾!;,&-) tQn뚊(sz`.)H{j 8.pkpX\RTIf؝j$$y8Fw~-!\SPze/Ye$qڶ@NbYª S>O3-Lsbxg$` HQ f5vp,i1wb/K(\$#vߒ #ݦ1ao2Wfz>GSo\ Ep "d՞“V] 4kw" yh>WM' ڦl{D/rzF +ԜlRruśT|smlDLG5N+t=m- [XmO;L̩G`(1m7Fy!!t#xM>>#@\GrI%M,Z]0n꛻z>ߝko?kE~D&)slMi<&c]D4u(a%1Vk3Vmf@s)%fPE2e=oxLNqZL!eɤ}DzܪG8qǃbң,5ʡ9z^0Uĕi.v¾l".ƉA<걈6$ÀZU+s֢3d'ܞ 1L.N>F\g sA,Nyԙ?a&nsׂ&*kb]ovoSwi fXޔ+9-|Gzt֪Q ա/`q0_hjsc\g [ao5ܽե\ꯐ /x 8A*u?:b*Pt0:)t\~E:ñ5PjEJgbtUi* S56}DhRB@|uN=Ę x]_▒8࣑:MY9s Oh3 8#4CZJ2jwӇk MyݣNsH/&V;5t6e]/o> [:nAG&:ቄvHɆbٳ(k:ciQ 965D Z]YW.^`*琷muJcRqUT3qS7 - i)e3 d8 p~sb?uLzyٖfbXÕu$`Ԃ%`eT S&K΅ܓ~*D=cKVHHOduy q֏W;bBfd>H*\Nƈ*F|hNH]ixUd0# }gq!`®VJlWĻA4B2)V[9`IFj49xܑ8>&uwl_(0#roRwe)(L/Э)almՎ􁖙SO{qP b'N"mŶA;SK%({B[$f;_2 0˧R)峺j R`_Z`ԣk&{.Ă}kڙ` L㱙?]Ȗ&>X@St AN흨lce*v0n7F>;ܟb8Z\ 1,5~BcR'Zâ2eȻQ<y \"N]>uN C<ɢ1Ӊu1QzܣB *W0Ыzҙ&m~WƬRicT綇r'եiY+n#]s'm,{D6eYƕ_/wZ(R LʔZ-!w^G֩${ >w Z3c=y.eA~ 5_`ٝn(vuA/ZESCmNO۴%ˉ5 ^_?},T&A{. _YQY[ONT#z2ԕ֞U%3q˩DU n# T\W 8F⏤y91'|/V/|36 G43|7DeļG9xo[jN=~/&m/ֹ~\?|:̆Cf@n`V HxB$>P̓r)\a{xR/CY09ޞPvVχLə2tw3uAA0;js"Fs;,b皪yS8?,S=LY Xп 0G1(-9+,[b~ZSws)J͒M6J|bݯ]GP'*.a?7M4,f.\ɂA-^|p]Mè%GQ}7G7+a:Ecrtnxʘ ~;vqJ0Zo5?iۊvυhZxm.?lǗ>0w]A{f`Ǘ p`I;Wrpsv",F0s UvRcHn^S ti D]`I[fjb(|$)0}T,<);Y S7VG{%øA @`]zU<땢y{d$$1'VDLxg)`HINtUI0>ɮ6#_` Xujb;Zo3*&R.U;I1 uOs>KIiWd_-CE,%1ZߠKn\VGK ¹ 'i x,)CZkJPH փv9a$bUNeZX b-ziJOdAsv`q!,ѥ +8kN.56my-dLJ1GA=ᦈ { ZGU h7e34rE䢻8pp fs&Zn%0%EtAOL IGN>@=S0'7B8> }3'l;ݰ7hjXexзZї$2; OP!N5#y]EH)*cyTBdJŒ_`_RjO2bkeֳq=4wrm^ڹDytN*U60 U6Xe`C̆: =WPoa JoaC3\;,зd۽(޽%A֜&)؎"'et] 4d.ji\J;|mE%Ē3gX&,ZE\8z?)Q@0WX["=F4A\obM3Dz -I=ftG|77$}Br뱆:C6fhr ^<{JC#8RcMʏϞIbg(}8J񔶠~ #]m}–`K %r.c%0=IUހz5~2.|>扏Fh? I=뭄dJ\rѭN݌uA d/U+o3:Vyl~q=r1AulSB;7PJ0>k*!q`̃¤\-%~{O 9,o'c*azOGЇ r/ -  gnl¥?EFΨUy;}'PeWo{XLhԽWL_6auBtz,pAe3tdۚR=kG س$R'_I g}]UpWXl<|5)FP*Ʋ<-}nn&A4֍$5']ow-LF,r:*&Bwt8əA4W\K@4_ a{L58G&·/=?TU*ey^w&Ѿ$y)MLY^!CBSL5 y>w˽՗gS>ڏ5`B'jg_BSrڻݝc ͩpBYVp3۪d#٥!Y⠡w˲xt!XNx\cqJ6Ɇ4]`9p˄J=iqH#7^M 9f5|ރ'uHTW&(4$kUFRn_7̖n f "[j6EӂTPDKs6Q⭺liiFCquSQI"ǐEuZUcL\e$"=,~% q ;8#i y"ޘ[/|='k܉ZI C<\1\ipXZ4X4{'"EK(.~`q6c kPGVQw q|j_e4I2I'8T^o A2_?waNQh]J/Ɔ?XӔ?:ҥ]k\ t:GS+N!bqK(pFDT?6s +GVqH)<*|Űrz5&y!%SQU|zoxDM҅$Ħ6FL3hGnƛ1\l1`Zb$U vc$5Cv*SV?8;;bN/~) WZ6\)Mh.ͻuu7hxuO\? L!u~+RT~|t׹Q`;7܉2j0VMZኄkS8ox8TI}-TR򼭰z#,SVDy>ùxsQlfAXHc-:l(@#.&Q~H@+ C-z|\e?>}huP/hV$jA3'&}Qn'*$Mz *}! u(!γÑஜ B+ Ewq !5)XyuolvpʓW$n3L=atK}ּ87jWvA/~VusMAM猪?;+¦]|L7:C`tmz6pj su)[Db4>M'XDk|pʽJ )+9M4xhl%§(,:,Yҙ"B%)%9CAq;4 {K1M:PfR4+$N,H]~ɑQi"I*gvGTZ QמxxKI~˥{[/.#E ^I !]rdIV'N^/E갻3:K4&DW⿁ɜ;ߤ3Ih[I3èbmiV6iY$,G8dOqoߥt8?]y g[5k[~ `:a'r ϙ(E=cN%:F&x,GMaJRHÊ33#:rJ Yn JR"Pex`P1! 03 n 1}X,9/\6. ð ݱ醴J2 ff' 0m{nEx8ҘB敄)md)t<|rnS.4gۿR ])7dMZ|鐽 Vu v^XU-F . DZcvƥ3 ?\䄻i'del÷^u|sӤzh{r9_{_i6磱f, E1.[vGtHrzmUm "R;%B@X1d0vAi/=] Ic8 g _{T#<#ϦeRf6&8䷂ڏjS]pbINA{6EvhČ( y+ăY|K*mo[NdE~Pr?1$=+,$8.yqw෥IjbYuD>@Cuj`%rBCqDŽ]^_)(JʪrFsНX}= u |S3ԯySs3nE-mM`υoE>[T 9WH` TVt@,:q>ٷ+3P@{)ն$W0^MW\#p!)/%bV;I?xr8$xLq`,BUĒ NjWFʅͷn榻`m%ƒ )f4QԡԺU[eAB!*7eeﺼk#q}qX̘P'R&#s_bAf88 gȿx3q(Tl&ϰ;3!bPXuV *p)ԝӑp.Ŧa>`]Sy 郎_H+T 3. f @yNۢ]t$;)xm-oSe#{w%KHH{/Yf94UmS0l'1墠̑b659ԞpԻӿ4f02#Ej/Ez5!QpSHB=zhԩ1WU>}嗢gEƥ.2cHԾ_`rp{ :Vk?W֍D!;р}rGҕ_/ROۄ.T. Pu-` qfPɦ8醣^IvϚ{+_և'3~b.Ȧ}i q/JEsn?Aa|eɏa8y Y`M󗸗I7ȸrΨA }z^wU]i\egh6ZQš^i9NwhuaW=M%欜S\4w"w )԰*D,߃[ 8(Cͫ+s湮ax)OWkz@6?彇! נ8˛hI@{C<\#SĚ2V1l !š5dR U?Cpb{ :",K%@*g9 9O!)8ÑRK iHCI8Y1i0-áū9@R^eEX!'^\Vtd!uQ`xr fVy9F~Ff A983JBz4R4jTIelUN}[(S K%\-?jTEX\?Pক#3 1ӡ|V~>zbU8h{?A1$goݣWT3W{[t;Zg?g^AqŏS~xȥk ̊ctVkH"%8ԫ #m9kyo2]lZ(9~<7[dQ\&XNsu&X|`%7* sEqOx0Nrq/,VB$^b)P'2 O{ ۜN{؛Aq䂏0 g>l4/"Ҧ>G'A-e|N92sWұ2)L8٪4\X7*gEͱjM~P$$ܱON#2q{,Ev*,=ic,$p3 {5m)3gԐkn^$c4ꮷ3c9ƽC2Дe|?q**mZ)̔&hnerq\9}T4߉n^oњBs5N|2I;M@2 A'X0cc(F4uL~;lHp ;8s?f,on=squͅUUSCʘ/nh)sC }4U kAhBѭBK3Vg=5ZلlC Qr\Bj![i!o{1y;ܠaŏPv2kτ~, J$nFM'I$)wjY%qeϩ-O;8DRf6ï]|dsؾգc o6 `-D|z{tȪ-4MXV= ^>~2cJC+TשV;-ʎfjy4p_/)R{tVh)&€lNh*BJƂ!]Ի˗s$B4hde${+ujy$*!L˘5XV/}0{ST<x9ͥ>oo4i4^.x&:k>C^; F-vlwLZӆ~nBgDHsF$[v')f, AI&dI §"uS)nPO .o65w+jDvMI촥P>ߡ[ps%M*bRֳKO-"S-1'%-G_bXpd%+abPdtI e.!'Rڿ91i8`t*IbX$JUcA;#)Ks#ѓ,U]UY$ՙrG%h,1mB4uemR f:Ҷ= )6'SĴa 'iO>#1㶘TSKS~# 2YuVtEN\ /\H/@29&qV?gYpYFc:kU 5r,2DNE1b9?l<0DŽQïF4ȸdp˲0[3tYҼ7J* =F9ͻaog/zgpYLW_'fDq@XgzS[ı(w/-E{~.s~*%W4駷R6en^$KLԞ(H/&z_k, M͉-o'ӒR'%eK1'$i=لLLx2%`1/l1)sz e)A"]펤>Z.tO0j 6f ;Ru - RNa2opAnU Uy^ݛ!]90\oZ0st00Ih;rfI}:[E6]A%hKmߕoF;=(Kv[faCHiY;R6(6*o4% {‘ʐfhϢIAT| }Qbfe*Hm5J̓F?[Y&|l|:f4K&μ /p_ہQI;sSK$OHYs7Zy^N Qyk.IʑSt \9χ v|.a-)s3 _ZA(lM3YuG'䔎gy-Gΐ_[)ɐlej/UhIDnNH߇< ]Ju7ږK<Ci` pH]N[ B,D=jbٵ9J/Jȫv%? 0Ĥw>C$Hj`vыD_ӣA}$s<4,$am.x]L@oEURGV% 블ƈ`'11Ԍ)DqbT]Ek6''b0ǹ+׾ap 9`ּ91^8-uɋYxY+4u5klyQq|1*api3[bΚ*œ@q|Ҏ6cx)ўqE;L5O)|,_/%7`Җ5][|4[|:<L~zV"gf1X)֥7GŁOHӋ'- %jk[aMgoU/arOĭlF"zv%uNߔ;^SMJ %f" ̾֔ӽjK YNX {`F1`cdI.JFƵ"t3IF\nW’x!瞭[R$t/C(w:yGԎE觖zE9 EY:_`RTt9^|f{!^G!͗tS0ty0׽UP;5=}F+ W:{2d-6t_5hF[ R(h 'Z91|pgd~GΐW† l!< ]#ao[M@}}>畑ɣU;-wC(E Ys.X:13X.p n(2s.gL R7;0e8f'jo+7u\onY<{p/T75>p_P ~lpYT h]c_W>4%%?D}JѼʅ–ЄgoLW?3U 1n wHVK6eN0ͿTPgHk|*IS\^sj4CV-!9u oe.啨rGp@Rϛ"jvA1Yai_r2/$IX(3BW]ܫJ 4qht^On4O.gcQm,N:){ʧgC6vaʖnu6bu+%B6cA I5M&( N)U.JxQT{o'x%pXs%[+֔&*bDJѩ1TPbNi,QUۀ#?]x^VJ\~y5@'Fus=audO~oKM(rɦca[6t1O^ ,aFA4zhy $#4Ŵ'ΞYcM3JmaZt{K.لuŵ}ЎȰ۱D5eߚY%cz%uȔ !V0M-\lvsHqKo+SAVZ=3J1aⲾ|V~Rp`]9t?%MU~Cy_m^0lk]6R =.]'&tS8.UW /a*g::0 =Ct:zЧ}VFEc K^[tN+I@ +drxAX21Ƭ`3kswU0Z5~_/e}jIml|lfn1Ů\\UH}5)ۤ]Y~,lJ L^xhzEHI "+-b9tq%0r_~ Vwhe% sدGt{i$rVH/mDur9*0~4H:iDL^v{3f}27鞳f1\,2aMIU<(eeS#9MȹYDŽ9) l/G=8RV,Y覾?"`vҒ?PMlfQ5GҦẀ<rH Lx@|2-ݼW~GZpۃt{MUZ37\:sվ6Obovo.l=v/(= d%LQ@??MJV,5ژɝuMe-?9 `+BpŅ@RNu;\N<0Es7 &!%cඛ$&MBf.&0G-lc["kcCIxU"'X}Ǵ]~t \cm_zR ^{phxlwrqT,GIf0'h.ԉFfG66fR[`)#mKZ󎦇.i;js9 N淵7ŏ31Q!Ýɘ$鈳Q..~G2';1vAre2u )a$B9J#Ó4B{JdS 4몆+fd܍iEQkd;fy (PU0)n.'f :mf/`Iq%@c`MxhɁ=KqO ᡱFb!,b?3&|FgDH1 sD㸚O'5t룛7XrMR0<Ǣ\{myS#)޳I醓W^#'dUa-hjR輴Z{PzėL_ NU V~%<xV~#ӫ X>Yp $|sjI=#'Y3|0b~6\4xb6ʮ ۔]n輙CjLuA-j`xjߍe.h߸ӪaDdٴiLrT|^.AnDd DmD8 "FD! V;K_a U&}+ubN|ҶJkVRw6\}(;1,Sx_aL.l=C9DS%lc+KwnHTLWJԄ劾B'p1q{ԹtsYK[aRJT/zA)0 vZ"9g\'xD&qxlĐt l&CuNgp5O{n%nѸy1Pb:2jyF}9O՜ϕRLj3MKi0Z<5 @\R;JaU_~8xZCp.}>-!p' ϓR3%P 5C2cn(Zĝ0iާTxNߒA_'>4tܭ)%w J^nnAzW$XCODԉ~^_UU @HG=}נۦ-a |c8/@*T_4쭋MtWIi۩QnE|k mŜv* ؁l=)M=g( 3HW# ]H+ SEXU!=x%[J϶;/K/''-ⲡճ=0J1^]mڸos5/6mc۩.+X:s0 LNfշTkIJ'.d:SS& K,G×Ղ ȑf[ѣՕ6NǿڗqpO4})P40xP\'UjlCs1`GΝ a%f6z2ߋ3Xͯ_ mk:?>Ӷ;!p%:`zF,$JkuBH,{aU88dc{ZĤ5\M_0!@(W!n>Dg$*,p[?Є7z>c`>)ҽi*SzZQX'X\6|'aLEogNlLYUy)8e圆֚DЬe(^ 3J9lU"K 40EeǺe-PUz#r}Ɠ=)z/p,q G^VIJ½l0pM s?g]9.`Kl])Ysmɚ;)̈́yC,JOeu]wAe$՚΋PRL{V7AY=cEuXmrQGTITڍ7J&d.F78bG_Mw= c j2Hx;"Ч1>Ƽ)-:p[}e P:KI+;ߢJnC$vJuYHШ4_ZqjJLF\*F5t.t @EF$/P Y(W+Z{\#V$gZ[<W2E5 HBN9 !ҍŔ(v _)E$0%u̼6\ƊV ^Yћ[B\A^IEexn8'iɢG7H")K2P=,H ɲ*z7B2y=gyy\j! J^[|&7p[K*'p5f4QάԦDHkO_ފVO~!!Z,!V>{tLnM%&FTw0eoK 32e|kjaz_EA7'Kr}UҬz.I1,raM[Yen0T~fD!%{jCMxO|ﻜ~ف?VȳVrȩGpƽrN.x!?S9 |k (A3M_XjOTgX`o-ebBsxicڍ,i_,vdѪKBJ i>֛*ܛa2CW*A.Q}aZK:.9oU'V@j^=EZ6{K>moֵ-!ޟPsULTj̸unpg#i,`Cr-A gOⷬUR)tkn_*(m5ù@ɲ9,=nmyä,}xr^]!dNn(V0LvNEa[7\#et7pfqE/(E۳1%?9:ceJPҶ"ڷc9px0 AW-}Nl 87>*' ;&,ˬr SWP.2zʴ6A[^\?PPd.Mr4p5tglU(DҺBȮƲE!RU*b7|Ϛ;mOH_cy'&/Z  ;^*RjC Nyi ALI~_g߫Qp;ă1l/it)\M':w.c*=۶`j 8 }^@ޒe+^OA5&.0* k Nc8>n@H(-(=x}̒K5N&vtGyM|qFLp'0EOp/ɱWiB7n!;.Q(u,e y`Ǭm+J)CFm AP +˖_.8Jl"a()rL懫yYo^7wۯaP *xh-ҩ,˩د1s8FBe;b+GD4rV|dSHF<~ͧ/K! b8wBRs:?|h,nӥ:oQˊ1#*cdϔz$->J_)rkoEl[ӿ}Jjp-W&r8lZih8CrzTQ&jbfl OV14#nݫ: 0կ谊+3 L-@VIcJCtWŸ́0SItRtFfL^<֜IvϏѫ.ы<eQ//PS3aOGYaYd-IcD)~;ۺƩ'u)@Zk\^ TfWWmcVLoπ ls`I}(^zMa(Az!$Ps &,)dq_ ¢ B*s➗@D]eW*jjOKqcˆTɂ9t(A@45MpkfrԎ7&}hwK56I[8tpo)20b7vמЕ5}6cIaAPx'UX)ժ9hCI^cZ'WsyrX06c<$hHGS>eĶqӵvw:޽0*jk/*9Bϳl E;pJ SuДEܜ<4=bewq.,k*ҒC#~FķDm.܎Q[vQ[:\ raY vLXVp"|;*SmQxዲQz%/o=Br  JL5 4F /ԵEGp(!0Cp;aaeZyړJ:37c^EHo.`ӘףY:Oɵ#t8'uߊo4BGa@y NˁIv:L.娮n,K|j(a[&f yҳ@y{%Gt3@)ysGp(SFAl G@F/ $)5BsI-&H8l<,A!R+s L)"WUQyyc!tu.ef՚w.muMS200#`w;k )c9FYi.Sڏk:lN~`d )DSc.`qZ7}άl\,! YPXt29Uܫ&k3Җͯ-+;8v2q}% Bmm'Jȟ"K^^0\beb<3}%L\m[y/#/B0{bB3Sv3~g-c+ |]6j|*t1a?V>D3A^)~j⫘z7c P74V޺ҫ+ S i(uљ6S55%;TWL-)gzJ(Vv\uQ)SZOtTRB⮪EnicsÓBw7H r릕[5oR}:Hݼp>)jEeg$~ :V;4h/U+Y&Vp[n].̟;۫E[A5m7fd't+(1aSm:AF&?)Y1}1G" - J8BE$C"bǡK&w1 5d@{d3.z'ricCvy;-_o^[9$5TωMU.F2> jF/.W&#]RPxdܦBfl5Ҕ9-"Xd_|*_(sp 7c9iRT)ۺ,M'VK*3j5v:IwI.#yW>{J ਖEi?Wn,\ K24 kAؔɲ W4:e*I"ZƙKBn#jA'bToHsf }VДp5-ODmO;)a>i;f(уa f#ʯ0.8E-:}߮1B @> ?7ޛ>jE4.ֳ9NզF7R;e^ݕ@ei!G-hZnWΦMjG$ooO~"'R!P'V~ObuxQc Aϧ>s*ůP\i~LZF%W`u}3U(:(X5X&38=UtgnDBаt4V3LbZ8 L|˽j?XW2zRxE a;D_6P!x k|6MLnSN/a4\>Vsr)Tps=4D B#)7SrCT囡Ҙl}m L0 r<-1NE0L jd6^c}nu:WsϬ៕?=u=` qj"Z`T=!0d_h,BU- ~0QmU&T_ Mv\9JƸI U#8yNΝ_`QMEOŽ-7_$˚a ]L[Kh 0"L!OW#Y陿#%c)ZHoL7TI Ԑ,}6@[fl^8 2s{8:r*#T-+2qyMt͎ՊI -DWr asŗύFW;ŇUcz2D)$[҄5/ iJ#o^d8m9.FSªUFO:ɔ$P:q_'51}䱿V2a e0pW@‡L۪,wϹ9v/W1I:]Jp3]h0;ýd\&;\ aM]܈#>˅yA}#6" i6au-;g~t|.4_Ŷ b)@ ĨN+ [UI!.1FRcu3v#9vR;#]QMW/,1Щ)bX07D6UYΝ`*9AS? RJ A攥hx_`ͳa0 'ᗍpNjP"KGye瀓$|=|OffTGw21:<972vk^ҙfXf<+رvVCsl/ (ʃj~1VIq%?"1+~9|ԽH %O„ Qy zӎGKEа)Ap[;2,蘹mY!A6]EL–|2m>ϔ6_O2hi PG 3fݗOfUE2ens[ Yšk6G>=׺CL5fJ]LQ4cOAc-v9>QBb9a*J gH5CIL^Ƀܝ3)LٻZ[(Owz]c\5gHז }MTZ%:-+ͯ(ZօCu$ au|-LyA#\A@Y Y9hINѼ"J\ai~G)&=%{9ɀkR芇KZ{`@#={T5m0~`#2w?Н4@$_8=,%+a`D5T&2EJffS:&i-ڱȎ4w,Nedo55eX AQ)~pCL׮ȣۑbSՈ }~LQE듬9$ @M&9[r';'1ž?Yˀ"k\C/:G-i Qgᅰ,E[bUabcVM]٬mdH 'y$wr4ĥ_gqZÂeۏ=lH[@U`*ovxO8N̐5f26:2YCVЕXItZ<~z+هL~6bFQ.a՜) |U>em~!$_)怚 _UJ*~[Kiȣ7SF#İ > ũ2iLɨ*CDIUkLJ&{U.ᬫG[Sr gz<ՆC~^-d=WU\\u~FщJy -s\JK3éwV皼₎< QB] 㔾?.QΣai ,E4&Iu7bdp.e 篻W F,}VGLCw(S'!.aIB`dr$*Pq옓 8GD pI${{̀Q Ⱥ̖ƑD"d`2S]910{aS\%Qe8Q:&~z=??Ӆg=Kuz59WB+ҿH]` p> x{؃a RCt(Dg<AwR(g$l{ŝ Dkm-Y@ }#T1B- _.:Py@|9 8بjRyn-%G?~}Y;j3~mRi5SIQmU|85_r]W֊v\Lj;W2+YNTwcx;H1+Q-^oHo2lZ)0կeoϱk~@q Krco {P\\o\ pݢޜs=e]0&o̧npv#zLjnUt=T=' 'YKStQQ}X#"+SJ=V{{A4wZvDuaÏY׎p 3m,lS-9`Ճg }>56>2"둹6u1ؐaqF%ZR0L̦8k2 gXaٴbVtL\5!bi>?Ps3&S0a.¬TJ~\BGS8F^3͵Ű{$X}o93FW2Oj˗ٯUU^+#{U.}|4+TԨ^(1K¨6/@dգ(&Xc9s#󼁧7֙#s0Qhȫ}̑BZ1F:xflnwSn]0D:nW.k,E1s ϔ3 -s@!Y# DMj@Eת<II*gyB&ѣopU? af7Z7>fV6s^,_? HtcZMgTʊ' pSi pXG 3ߘk"us έ n o:SQ@bƮTcV5$ e`Ƞ.t<0dChQ;CsY Iۡ>GUTր; ?Y3<rSDO:TУ^NjRtWQR8RtSz Z"B$r:,cn7< ZŧpGlv , 8<#rsrLNd^^V#O ؿ+C"W7`T#{.&\p;Şy]]CgІ:G_8ܩiOSaݖ ;' heh=Rwz]{|W*TZa\{/z >а]D6kғiTnnOXלkoG[eA2[_eů__V 56A5V8FP]O?_hs֞Y ԟ[9⮮ːK 9߻U#V:jF:Ot~v4G/Bht!x;DIpݔS^:- ,Ftk S5!NrMN>C%/Rq;xfCVjՙH1mLZ&;y]j ib$U.RMj>ov}4X &]5- MR5Qa"BE8.ɴ?}kb8Jw@8jH+ɺ|o~X]5@]z:ዥ5gY~gU0#vB6Hbc09n X]RX.^KPyCoXN1 YpVsz{xvc}dh;hq*I>t ITM$ư^#ȯyr <9s]d;ڭg?U["/}S) `nfO`5K]sU˲w=Ԭ0`6/#>KvVZ}G`s F^\>'s 1G=M,0?bl2,NNWRTAb /)4eE7W" gr 04ug\gW<0~!V'^q_kҔE6Is@1 O r;gN-W ݹH<ލuͱEmLߓF"7D9*> 2$SqO=fX$ AEI2˜hʖF,m+ ьMJmS~s|">1^iz@<6? ab|& 8&g% },};dS| nuޟ@r,!u'FfB!>l91^^'yZJS<^{BMd͞S5QEVLC2gD-^Mc1URYm.Rvi]HHʧ}nszUrX9'[LDYWi%|VPt:J?n8lPveJm Zj~3E_D#@}YӺGY$ uU *ޠ,>v)W WԢ-I<%1m-$Vw RURNиfE=v 0ԅW&ʹV>^F ̠)ndQr\aTa-cy3I(5}J3GpmIjC_JaƢV ;Bf1x" _|jSn V\,/%^=in ʍqOG34+v b^]J>;|I~t*rTDwaLP΃IF}cǢc3&U /@z>#aO؝cUqNLQ1?h;w-!n %LQTg_"uD ~|{c9n:ZQ2JerG<#!IRQ &^8$(Og|SUh`e30'# TȪwnn7oR3 ~:7uC# c3dE"lRq#=2LԛӦ >a.&'zG9re,5D6= P(ى:$8:#+E,7Cnb{MR(D,Kj7 _d*o V{FÅ$z9T~5 Js}1< sܽb̕sZ,_T|,")ι4OZ{U9RO{! V Ӳlئ_[g`>8JPRi:ܭdl֫'nML8pXS=Bej^T>\Y+IxY/~ _i%.U?`޻_55P/Y>:|ə8 Oa>EΌAc#3gc°=Wk#odBV| Mg^n'if!}%XBFLZb-*oq5#/~2܃z0ݩtwOǜo-WaWI͹ ]ܨ( RiRry!M)k:=cDȬ *n͚8/.%)iAA*5 "?G߅ֶl \Ú|hsb\ ݗ\jVZbN2v@Jm?.eA~< \L5ӜOH4{Hej*φ$p uT6rjha82e'v􋛷DdOU ] mͺ^SߌBquE捫&+䷶$CLSJrR%۶}{B> $Ʃ6;6$܊ f "pńenE3ニ9  L1 p\o)+>=1d`%tN^m}Q>hb?槧vАC., v.‘zF]hL~bB2]L웒0 z"y+Q|mje FvS8e5> ab:bI#*6bQ=P: _;ɟϨ9 ٮ߽40d:!.5&$Y;ǔ:%ωW\+#|E#|n g>F()8X❲"|ԏT6'3gncx_ğ",)}|c~W8] 8Wvͭ9{'y߷w"a_ٷn3PVJ(~䥆L&N/{*:b؞8bnɲyg~˛C0bD9KγȢ!k'~ 8ctHՊ:_GaA7WΑYRl2GcEP;y]8z6uGbD87e1e ڭpee]c˂& ZTNduJ5C*O+j:t@Qve\im|4ݷrCNA+JkW(֬ r#0;)R(i$~ #vw+ՆF:6꘯](Qe`Ճ5 >'"ӵ掬+;]Heӥwn]nt]=t+'_w)u%R([n` hpƜCa3z` CR$MwUGݏOFVuy(Ge؅Qğ1Ddv]̳$8E;qɏu1FwfLew|4wǞMB&~0Y`,@!O[BcD@" P Y T^<""s2Ӡ~XB(A-ЊseD50T@9H@E!TPBtH@T5D  4h΄QR܁@tD* h7 nu)B!¢&D7d*وKu *XB* x P߁:@.0 HWt@bPư+ U >SlZ(!QǙW1z$ P$;Ga֘.P6mr;ODx}]<9K: 3 |05Z%b@P. y[((oew|eIaVRvE-NW%@C%I 7Xb"'فY3'*/&=dzo!<&ЎflƎ8⚡+FሳBA awyQ1Od l*!>Q3(v0 s 50 ܐB9@ B"D€D`D;B'B UH@( X > vP40}"VDMPt""!@@*< ?Uz  =Bۘﰨ'K(ӂ!s!  S|PzlICIVaWʀ4 '^@>A2HDM\@OU2LP(0"?SLT5fABtU`Q;C!B?l *xP #!q`PC` 8ASa5  O QNA4D I2)qd 9`ENZ1 `B"јB!t7 HA0t`ՄPU((@az(+$?<Ȱ"N7Uji"w') {@)!ҁlBAC$Brl J"p9@`G@-*a 9ѐ' " ;#B! (j_f >0ވ])"*wr (+|֒@-)HQECB`@.hL+? :B)`؅ P9P9S p@BJ ?*0dZ(BA;RO;Ѐ^E(AA;AW JjHhlO$0 QL>@# Aq6D*/I @/ | Qg.B46 )0 tl IT ՠ\&@9   BD|RT /CL( %nQUj0))P9l T! !B%dyU|Y %.^N` PvuN) O 7s!ĀO(D|E@ݙR$oN B(x!bkB#L`GBƁS<>0 J+aI"!8P A§@ߡGEeLh!U=0ąS $L$",Y@> y$*H c* r_Qy" @! 80vʰ  2k UΐU_6Uɐ'8T0t$*|=Bd+Blp $@ U D`VTI!%!A?f@Zd.0@4xC㟭NT  Ex9"Hia @av`4prdHWG BR!In@ ^/K 8 !^aG{ K(C2@@DB(Wq /C tRWCe[ZwL(0t:B t`Tqن@q=<(8 ! HB!}d!E>[Gs +Y\ҤOذ˰82,l)h<as$@4 P&yxPN!t$9WB !Oz!!p 2x PB]a \(!opDB AB']܃CT@Vj+ y,ã!P)+NzrvPR(l(i!P@Ṑ >  %r0 R*(# /9億L +CSMsU(^Hi(B 5@@W?v}faPHc/o}&'r je䖤Q{jJ0zqA=&Ɏ%l7Kr[0uׂ;eZ Kg&. c1cLFތ\ݕ`ȓ≻>CH)'VPXh)sX}+3lz)SGƞCY؆^cQ|z]KrEtֿ?K{xBq8M9f pqB  pi@0|3@??du%d :Ho!=u')A;  &LuAu +oI^>=(au$ HIyi!:X |-;8AfyG2[[0&C0B!n0UBABHz@(B08 J?̽1 P?.e_n0(n@۰›X^o՚&]Q@qӘtŁDZLs$uX$.؀DR.^ +%`2نB/KitI\!^!E\,ݰ/8X[LW`L'Ȑpl9-(gWށ BD mr@'HBL@/B[)ОLro)pß3y9;9|C(_<OIn7\< z B@b`剗crfU3W W  >0!;yHg>O&yg?\![/4P߳iTV\`@zp ΰ $")z`S PB@L Md ҈RBό$ p;e;bBvFg}+$YY )|BSj] 4仪πL5!^S$# 7|2y9^$?H@@&!R B^@{pau8 ԀhP=Bئ@8dZI]ësfv`Z&Q ([HXI96IC9 22G;sP&znz23)v2v z9Clh. wmH VO̓(*%; ~'D_ & od@zdJ@D/  k=vDS` Z d)@rpyQe@)L`>+<@VS`Q`>ڀ¶M``&5jFoPek]t0ՁEA=H k4?bNo|$'K8Bd< C͐GHC`x´z 7 _ s{3F&&nSa L . :S [v/aY` D!>!u09g8p4v_?x  X[ 0@\0Bvç׀ΐ;ɗ}״yˀ00@?!] 9h6>dXLYu0 eY{sޑ {D)'vBݎ*dY=Mv~fp"z%)QyS/;(yAǮާGG5KTe9 c_@ J:fĥzWex Z"9Xiۣ+Xxe#_*<2>@ԜžSTbg3}Ńs֕i'HS Q&ܐ-ݘV7éHA.  Cw3pLutSxIش%GxAuO*Un9x;`z"DE@}h8aH(aⅸ(iLvA_:+t9p$M`1$t gyhGPՀ|F@ʬ#;AŦ80 )[,t+ RZ9PSxgi-`(/ܱC"#YF$fR ?AɃ@@b ?lɃa;q*@T C AwX2@d|H<@ @K;rڐoJUvxO`02N97{.0Ä8@`:`/މ 2ۜ`L,@6X @W`4Gf t-W` Z \~0\ oc ;L0VTXBvЭ~c]Vse:H?~āzLABXbαNp>px`h)cC~̞8XL'Ad>F0}uH*@td(T|80pyZz s^$1qH@[L>_Dh|  =n8`e0 `!b}h@R{0T|VA >8 qyON0m02`b`=ܞhl|$!B2 _>yV]5 104A8vω< )d<_IK~&x?v?eړ)AWBhwC05elF HvvqW\g䏀ӌ@mTߟp:}HH;H a@+ʫ/WMp n ))h%_ &8 /H;AR`=.&-<28?N sB 3@9"~.(iV`(x}~0;#hK<~dâ0<`f y8=YJ$(d> @:_; 嗚x1ٍp8"~8\{dӹC L`-qnx;-@,1x[`Dlip$@tPyOkWbA OZ5 @tpϴƟZ`-y0+!?rt#$ٴ>^8vAA a8Xz nd:m. 7x`0Asbx6PX<%9 f3h(k /o$5 ljXb#/K/, `ف@ `*+W՜ar"WTfÍ ɠhzw zp`sL@UKw &X9-,| An![CG! '$~U{t`@Zl.84U܇@x4;Ipم&)harTQA&teG?4IQ |^+E<307 ]X M6#Mt L rhc& B $5ؓjhd?x732 #~͊}O0L^Qj1J@`v8R >`zwӍ7i:2msᶙayAiS<4X `'6A̻Y/?94Y9`B)mAY`d6J<9^$پ+ V*,]@| bA|\ Aih*`GoqU6t[Х{ƅMA#L Ho͋ A^QN$;M鮚u iyHSC%ȸ`Z 1,H8ΆA{W0f+,t:p㝯wM08T8}"_VjTmwtĘcGTl{,4p+3L'qF6o _'AŐc`f@a~Ol57I?D z?ffX+cAMhu28՗= BJ]L\/9г=#$@(L1ˁRV`5 (͘mj.pŐ1xP|1W`+^0RYFΤ:Т)*(<`j1j>'Ax h~#Jʲnø͎Io)h`iU;Spt4`] _t1X4$Dx?fLy44Bv ܊̬j(o"Пr7l dBGt=,e+Ym'Etצ*\0L~M&j/DT#)Iw'oXg*ȅn@~AixeTn־á >{ݐOu:)/rS!8CW>j)0OFɁ&p&hлmX;Bx)-hdnSʾ0UWe >"%$d*ĿX,A.{8Э Y+z^]p BiV ‚s a NLPٖqM S)EёgC RrF3\dAɉ\+:F0-, ޤƬf;1H$jBQ  @ hp/M 0242L Gm-Sǂ&gI=ޣ&;I}ĒL݅}}˻G:>ȽCG?p$v $OE|i-OpcN󡒬4) DAܨ" (8v ܃ـ/pa G:u^?1<x"" @.xh S:hƥӞ :t>mBn0e0 &oҜX4hPT:#Â| Ra3:1`-ܮƝ `JKlp- 0U#z>f(A\˭1Y0C: ɔmBiCXOB9ncwxF _uAL ›m}RhB]ħ~Z{]ɴFG`j?>)෪LWO g TA@☧\Bi8J934D$*L1tgr%+NkćC`JƓ$:6 +] \?64pDϮ?ѡaM-_lL|/DhSړk JM`n1#Bt~<(!.dY={b[ hfrzܠ@rN+VYגY!Zx2 V8<0`nYZlH%xkt#vBкRcDУ#`n?KfZi^ _֢$9:`o,2ފmX2Wf8R+O36<<ݒ$\F͓  H f>'a8 ؆wfݫWQ?'ҙ3]T^M~ he˷yي&Pၽ.*Ӳ> 8hlBY  {,-z+&Gt h+aa@cW9rɗ:h@_Ep&<`SA-R](n8(8ékLsnVfn:Cȹbr{Ѝ00&p'`z<P禄O ^pt)F4zt#BZ8rkV+8qȞ'Bx|gB6A5Q næ Ƒ|"zp^/l(qH`{.2Oy义݌||PZ PBeOyhԔ|@a)י;|Ln 8P6g>-? 27CR6P\sWVpe)q|ǖU)p98C03l 1Pt4HQ$ItHrrK}Y4ZTgs<+~NO;P\{ "TDcn pnMme̱20R8ɎEJu'E(|^C\ޠ$bcO˫eGgvA`tòĜv<'wǵVUn %0f Jbrc st? Nc)f ~e΁wIm1 ՜BNݜcHFNUZdԫf<3N֖]|[ٙw=9wy|[E*k8QmZz X^ab &0u?_֠ujFOxH2𲅤°?HҜBLЉ"/ip?Эb P6(`KX6Q#[!S^QJ#48Ew8SHPh <Д<h/7R% VZɮ9A>0ڰ6 <h Ӄ€qn`& 06 ԱVꖬoʄ}$WJf׫{^Q};<0b`j7N8ѓμ`1䬐Ьh]dP HЯ|A)`\ oh~T àf MGr T|ksCY?1T4<钯 q^r#uz~fϘZWW=.=F8ku8 hPn$v !zUՌ \:Ժvn 1~ްmdmhy1oEH$JTxCL l+<Ȕr A۔#ڥHp3 p~44mYnRh} ÿ:aFPp/Ue"L~j*ߡ^T%'~.a0 SzVorƠbhs"`PuUH=xT#$%,x ;gDGK|e u>;RZ:*Z0G0;[Q ^@.Gia\ dIMݨ(z b`& @ ['p2%ĿHVrG˒6(Bj f鷮10_p\bU@Fƀ<ՓR"u_+ok; t.6:ۦ(C] `Zkمh0A aCT@/lkOhIu z's@]r 8U0aB@hqG=D*ALٞJ>9<\0P'PK8S[4\N%ڬS0amz{&Z,gdQ̱z>QRze( t/R'L)&t0q> `ψ@ u=8$wH:Gah4࿶P*w_޿4׭^܍ ](lX/puBnǺ4QIGC w23BܾJa11Тȁɦ*4(pBQWab~My}^K=N PiZuӛDMKgpYAޯ)9á7Ĩp+z0QHyg`% ,JҏNkO+=1\ S}X3vNVPpr!`õZ )H:G6UV_޴KU& 0m9yo&yG nh$}D{ӎ-A NjsnLGΑWh5bә)D_[.Jib| Ra{TU ̌8oj ܬceR[}kPLIO| \VKO3kTK6x!C_plq;'eHf`ljWaCotU57.A ؝]``irRm=*@8ϝ ¨lCWx=IrX+OWE|i:m2% b=;3g+󊁵F3'w8{”KJ `T .]lî! gXzK]T}HkaK963#a'< ^a#d(LSA_?93i]?J˦7(6ǟ1v uMʙ yUtP/0᠖)4&qZFpL!^Pk2 HU WN87˗~B.|i&U>_ m=1IiQ;=!-p%*թt('GaBօp0kR(*fWPM T3@.^cu1GZYa;A`3za,R|Xղ"֙pT`t3FOp-KT9#mVURZuJS S"kHX@ua+FAժ b`8,GT % <eTy^eTp(n kiDA߃%Q:p.;s.9[BU{Kw-|*wB%zG<3gS!(70; @f1Dì?^x I"Kc1z.XPol4 আ?bW 1/I־r~RG1ި;L Vc]KŐ[}uK-r2P:ɨvs#_pqA옇SM߄FU(eh?uȑO3F6m4Y,8s04ͤ 0|JXŊ@,/!F-ui<TyK8*Xy$$ya c_xI5)Xu>܌u\Pּ0ۥOV \3k f>SxWD( wWUwWh|kG $A4S~|r `eLئd%{ńpC@Hעn DЬ P3VA- =`g ,R\'`{G.O&\/<% H@nNC_I "J,m/'YiڦT<—k]7 H-a͛}=/0grkHu=(_\z9UۑKY.0 Y 他 ="d'狀v|G#:*7~RS8.'yHLoIcB="9$0PS|8F` 4%LҜH",pKPU4ꞈ-PS5_U#y'mOBT(+>*ʻB)A[@  BLԙSd/bl|%i՜,R:nhݝ1 , aW:ڨ6 ?P@n.'? o9{R4s yӌsv[!dbW>T]Bݝ#ҵ >j a3 b`E 댍e <]0 +JnTK-`mOm7Q )X(rX)"i ޱQuFPypMƚu.uBbۏYG+^ӠYhaU%`yeԒ+Cp/RϨ7*?\B|.pBin.LaF-(mb ?,R3jKZjU,L`қwGk& Ll-ҳRlu5;jb6BFjGظ#{!m:$YLEs0)Zϡu ggCgRGmQX;@1A'38L ʵD1!!¨RvXS&Rj疐ilEMX[Z+:sE` bKAtɩL,he4>kj/Z.1V e bمɳAmS4?X}*G=EZϙh0/C&JށgU=W V4Ȓ[vLC3sΫ+H> mA}N}=>`MhP7ţʳG'"Gʳŀd7 lXJ Pw1Nd@I5D ۓ1ն4AM>r8cUS8'|ugt캃!j.Ոe6T#kAq"`mNAxQH>qp$ f[,DLU+_%seD[J@ %u;PU)m ljcMG'n I":%\4Zex==N7&ԧM]5'RkEŒ<ʪ/1ȩ>sTza80DhLoظ=WM K ࢒^ 7zd\.q/C1TW 8ahQz4kL+49¥l Z.l"z\{@jr V^g 4Lr"0 Ә:^CAu[Üd{-Yܨkh2Ob[%}̡%CPigc `]ѫd;$Q́ C2.tҫ}*ǿS918hў&bx? UsUϺ4x*k7A O䅔o)3 GWKHGBLp>lqCNgR7Y Ә#Z/朳=k-߽:~|K p?v<?,5 ] K ъJe4ih?D U0 {P?._18$+e{s$ؖ FsGnIQYaKc -8@2K W X\ϪBv[hcLL56 a:/5#f۲}/;i0N Uԋ@j1|P埁TyMJR'OF ]V!̡4rǛm ]5:օ+:7;;,*ҙ^(-Mʔ[Bh՗ꉵlTeA t\Ś?Nkr 2IO_=BA74Z)apC+_Gpm{ZEF=<* V4뿏]Xw αJdSKYE:Av!mpTsU{fnY퓧'.9VCJ/O(OU@G&Ds'fE*uo cXp~bIT65c+4d!,qJЋ r?otxѸivmɡMLH<`R._Lpve*ыxSbi>᷇9#]%3& i̖+{y_Æ~dNtZCaGi(5*aò~i.}`vM .VPQCPl@6RdrS nB]uRa?. n`9L:2xrp SQd"\oD cASU'W1Ɂ\ə/,Xa&) 74fN!ѭlE䵝bAS{6'QgaOS]h\B(Fɜ~c47 y\F&6E >B"0/*8Ȧ󬑮}+?.^fpJ /K]zw;֘LS'Di3E_Pk/ /Vg sLe!t]W☴P`&p8M;:;l' Ȯwt,WP=2wn}=&P@ؼHYpo ?>]>6$j-4hͬ"R>.{ReLx: D닎]W;Za#zb^7yA+$f8n8!\Q @XCj}` )xjeE4hkm'&TmO \xdH \~k %(0^8X \(rK=`/ަηm'H;ʠ]Z a=ײ!r As0.uG&,lw5c _q69v9F 喍. ~[W]I>i*pO<9\[Szt?va.NW3(i;>5ljo۾X3t|,%>AEo1$K/߄ WOxu%AW}K6 VrhY[jE=ohqfTHMe[1(0S&C Wk6<pgt>1 to,ybÖri:fܥAr9\I<ْ M5kXA*T$R6h9܅?% њ' ѽ<#r-Mֻǒ}&?C?{}s{vl>;W!ɻZU8 8W_(`XzvU rE"X4l۱Kg}T2[V)!X=oR,1KtFTRpd9۳J,WSEhOA'>4Ta0K:n&)ݦK)@#vHaR2]M."^jQ9 $T >6ĵMnYg\&^*tSq gCR Io;6!.00\m:4ʠo99r%G pCf+j)9M.8RB}5'&PjUGnZOq,vAx8vWLY1ʺop+)#a?G/%GDCdf$~_¢񙭶E>| /ݷ5aGp.c"L 3?Y=:D}a||c<9TUg iT]"rJrwPzW l : a%>vt M]%s Gp(3Z{&83&=aw| ZEg <n RJ6Z*b| ~Ȟ-iO9e 'D~z5,ဪ֕0.vpcGD{&|)hN*Op μg<}H̨?,~=a~89 y(`Ve<2&y#'!wI'~9WGL$j 8$٘"!O1lG enmZ Feo=[@NA+ȓW[Jax8g-y0N@DjR΁,dC gN&qؔ;Rcc}P+2v15 .1z5PC5Ճd8r'ߦ)XL<'Sn5ќuD8[~ !THXoy4}*>(`~?=gyz:(|ؑޔK`צ!_m0)ir[RYl{K.pwLJƾvEk}p[ڵa:"."#\8"|[V)~U _~Fs|m." $( 1ÁUk2rp5nŻeJY:輝CtzEad" I.z@c.t'.G>"D)Rhc; B 6p1; '5WN;JM*R+=3FSN)S,V O/RnT_1c+ p\ܫ+кƽ* ! `u'k!ylS,%riUfYrum[VD9zf3=uUPt {Y{C ^_;޳opW܂ൿ8jbqt ܩB W<ȰQVbENF#d-crMoǬ yN;qfoE|`y's98FQ9eʊx9 @+jp H:=~j@(qey$erWr.C2+̅uR2Q)o-ŷ4άJ]_2*%p`֊+p#$۠N˘QyR>仄T _=E0r˄Y'`HP0_.Bv aR| oWi(Cy/#}li<@gXt[ʗž5f2 $m.KRQ Qtu<@1L{B'dIn!"klpAF>tb79Ly.05 X/& `Øİg}FY<5^"l$UkTߪOxy4 ec^yTm;2YgTyλj,w9OyTǤI#L!&B7fDimaKhejl:<ڃ tSI)f,zR9=aL>X30G.[?gJ}:"q{V~$;j0Il4((p3AHi3?.F-!5'Ɉr~y1,{"\i})3ßeV=)h7gd7dt*qM0di,s!8Fh2夶t8'FڑCTcPqf|,}YB=~ǵ^ꔼjay9Zf,|Gu޽sͻgx !8N`4"O%APF A\熼.:9 od¢ېp&ZY!wkiSK2t\w uPnޣW2Ҋ2e*aZ}$©BLTP.aI`hATe#2%g'ho2GY\P~Zy \Bf>-f0$ -% :4ӽ]Ё>QWG$?҃~-K 7B&6[ekOv50ߍ:BsE x3\؃&c?X/YU/AvOƾ)zMqD{ݦ\3Kq_3j|z" yoT ;BA#8y6Cn_?%P{V]ʒȖ^aa'6d+w=YS/2Ewx0*cVb!VҮ&+MCn {6%5dH L*40:?x]%)w%3WbzbՖP0]^qҰ 1S0s}ɽD3Ů z 7*nn~vFȲ!a}A:cpC N4VS=n W#ld.`ΛHpT :R=XQG4+ÕSw0{%Ao]"f7 ;?oY ;Aѥ[n W\G%y7u2ҖOb{Oy? +Vͻ$ r89ɽ:z1 r~A'95<]*Hz0G *]lLӥ"<2 03W|BLԆ`ڞrK|`Opu5J5(#o),H!\N* [ !M7j+mF2=\FC@J(wUP[0❽hr匸"t q(6֊1c5@Z6 T3e?h>"3pP kY$QٻbyK05a`|98|뮌.e茞gx{!lm13$u 3;l8G9FĘcj Fʁ>XrdzJI;:a`0.:3<2j|?ץuvp3̴:7|j3_z3 InnϮ^P> jB㄀T86a ,ynG͙yOO 5tП'RCd\HD}C㮬.Z|{7 o"DҤQ9K!#akȒOw(T3kZ`{nVG;#Tʱ(vǪ[Amrl2f k$t_hpl6ǿ]ޏQwCL>-n gm2ۂS_УͬSRuy]z1?Х7L#it{ ( 8wߘ-U) g2dQww`NXN-wufY,^1p!p>,\QU1U [.pQ@vnYQ»Sb6VIA} k`&۩P"n8+AVz/y2[KdIJ \`UZT-&M2r*5/ PCzȬt=vJP`~ iIA!S6V;O: a_ '2<R_qLvpwՏeRoCV=MhbU7L^ӻT΀[.~i9c˨U _ҁf,- 7?g3&L;vjٖAYoQ,Ff}Vg">f#ԮM^=1K%qb_3QPU}Ƨ;äKa EX {OS6z5tVUƃ9N ARU~OGwEkˇMh1@^S\H#wHC"sQ7*ڴpL /)7wP XmͥĥSO1fb#7r/1tb`OhʡKYo '\^c4[J'ScYsj#avRF%$78xSvoֵ8_TG 08~l@1%8Z'|-).z0 1ZRstkJ4g;L˔ƬrTˌP;} i=bˑ7r4GTuX;e3U*|ڟUBTՕzz'x?K},_GyLσ Xk.!j~Cjp'B(!C wü Aw3y*D#ҹݱ=II;uTr'T ˧N]$3c2|βJN!+:tL׸BvEا0Y(2VcyɪeUF2e6@$w#&MۈVjirS_AOt)U^"0$[#B4Px 'y #ocFQ.ǚ"Sܪ4B\eձKGPjIy|;(W B+8D6whl`/oӟd_98x N`W(-A[R2#2n:NIC qW$_ٗ {v`IZ?.TՕ' -خ|Th9YÇ9z>C\+* :Xi&5EО?l$?QUT&\gF Ƚʽb)b\QkI-GjIXupX+hsK>aKU$=|T&kxo $uL9H=F8ϯLI1IC Z[ES0fuAq\ػat5y-Zєڱ՚b&ʎ֨u.u˷do@^QNMXw0P+_D[C4__^2݉*ao$.bn G's[lNb &wiϗwbC}zb 9LCOy#U_Ö́yxOùO]6f$OR]I%j AMzX4h#="ϑK ǪY䂧![`k;&O#Z/OuKs>\(bͰ |33XBŃ`s 1yFA,!OQʙ *^l x$6 j둊t>fek+D fꆺL^=IŴ>J7DOy )(gH~?` ;?ِzt(Qmʺ<0`aת\b~X7+P٬ Qf]~?0#3'0q CƇ߫jstVJUJJQf{+qC(KtMjL .=UjG)oTQ'ěˣ1G}LIrĘ$W%o{G+͋+bRc;|yU퐽d%1mxy2['f aVXx]3duc#RCW7]P/-?-89@'ZrNo3(i=OivdHCi](<Rnϟ8~J#_.P d1 \ {|ϡ0+XUGߜ,RלPR,8ث4 ?Q]3׬|ooҜA{?!,*A|=a :/\my7BlfY=cYr[]XQX' A"2-?\4IY `XG<pߝmjOEPݐ[\)1EZ2=khJ u6]п.fW5+ A*" +F+`jD7ϑaaLR~J6q qDo`9eWy+OwHq(e ;S;5 5=5X,eyڮUEF"P!Ui=RWJ Ul"(ZMK]ȋ=n3k,iɢڣW# L]w7`bԏ tM.ؒ@;r dH`l䗞Y-Y#z`S&;]=.*I,GP)2I|h[1&(䙒98JjG[>~xAhAivSpKr>]d-ȟy;J(C@Ò2ߚ݃ Z$dQ Z=&6`@?;9" ^uX\O]cN bB=[Y ~{#~=H=@<)!Ú Ux f *EۘOAtB%265lk;jƹ ӸjpM8~Ck&1q\9XL?83;^zluXfo 2 A|Ѝw\jZoÖ>z ~ Wʶts /)GX[_C ܬ+8wӜќ5T i$A@ l2Q 7#,gw\uͥmΫB1ڹ9o1O,$A}҂bPT4q;C^i"G23i4bssJo IE?44g94#M"_oN)GKú)K6𜦴2~1XY<(R BjRtwW' MuqE;nUb/'p\hǯҀE-bmn4i|tu+Ͻ^yegʚG􌾊R/drSlF',k5c(@S1stlOmM.GӀVs ˜㴚T9:Tj5O_%>;8:+3=C<פ,kZPpt,8xZˆtst9{ c}rìD7|-`p"pǎ㪲>w@=ur){ykLmK  "P)]8B!4l!8|p1uh25fo?8ʾˑR7r5AWۓ&!M.UU0GTdԤMc="3;O1^) VkN_φ;o>))I +nMGDzI)`i\I{ N(L%9kQx;?tE)iLzͦu;ȭμMƛѭcG[^.!!gORxo\?AZWKT#3:,A}gf}(*]f{ ̱)dH*6e}< *DϰJBl` wp`$Hۭ\dsnZ^Xxѫr{UqԽo]EmW@@NPkzwvhh 4{d/LuT]0J* _XJt/Lª{tKF*hQUѢMU$=)PzRTݝ=@ww84 R)@#@Z)@mPPJhк,7b'{^*U BT$^۬,[6@BBPP(T([ @ ̥D6h{|$+kJcTW4ƒ$ZPWaٗZ>ڴhUCEKq /RRVA֭P>GTKJjQpUE*V׶쬂!Wi]g7}0jqnE)U ܳ"Jqm^ǧU:hϰsc/I͝QSWNs"͚֍lmnf%kYISw'U^]^R\zήzlmq'ckG' \{Ο`mNګfRw{nOZ ;j ciXgm|vSPQ}7׻U]Mo1\ͭzJ{(fT(+_CHun>yrM-Lu:V}Zn um=ݻ/scٶmL*׳z| r lmӽ|튍QZJY(Ӊ mv}:T٭SWۧm[P6^h*u]FwR*^]6Xy6l/6"㪺ckzwzMGUy)o}*zURT3K}U݉#mv/JgւUydt_6]uj {2ARiw^v\ƾGJe@jdM44#&d#0L02h!)&F hщ*`0&CFLzhCL0L)M4hi OH0a 0b2i!`SDH&i&! 4@ FL`O&&PmT bؚ4LdѤʟ L&ѡ&@ 51fh`i0j6 Sɴ$BMh@`U58D4R4Jh/+zks`0hDI:`(a p^Clux^~'pB j쇸?ajWu<sGszR7E>ge7e^FU>XP``` L!@( *12ʠ@k`fzLGhսK;"Mh0`& a (^`#2RK!*pEXqPpaZ-[р"@ L И.: (v!h+ `a  $ 5 BC p  Z>4t HZ p1$&LFHZAI0W``%5lI)r'}"dP 8D@ 0"J@Ià0 !08P> `4`P %o F`%*<* / a @Q0vT`z S@ [\0H!Z @XBFf id0HHKUYF0Z{@R7 fuKUM҆@8Mi0w % 14&0b`1 @4HLB02kep i&! hM!hLb`C&14Ƙl@1 Lbc@1 1110M6 C 1K` hcBc@ H 4-J @h״mC1I141uc` 14 c4m lI411`@Q+6 1 m$c10cr_ KH`P6 `4@CCH&!AEA 4D2L&&$u1LI& IMB@L@$4$0LM 1Аi i"/` 0WH_ 0`jaH`@$-I"l ! iKEB `X %X , IJ\4"ʮ c&6 m!$ m 1 %I)@  i &IX! &BC눆 UI[$+t lP$ LI.5eaBo*P?% pYUP ra L8w  Qj&1.!_Hj au&1%BKObB"BPņ} Hm6'5gESO8gXX݅TPb8ՂPec P}{B 7! C'8LiMH& ?G=iEm J (4&W4i$pj 0wt]Qͫ%y_,U ؖ7u0î-X}.1T !t :PoP%,ꄖ)ma!_(ms\JklJPVV0+_f!Av_06^- uC\"@l, 3A[00 \B .X G,9a2`n !Cp྆888t| <HpޅJX7YB\( pJt- `r!ޅ9 (RB0sP( zPo$! e$@c2-azo!cPhKq`yĠƓ\sLhP c/CL`Ƅbi]M0L1P&Tϰbi&  0$Li& @@ mAN!% 0$v CS6(EmH`1 $cLIC1 & Nl@&c.@ؘ46Ma 0 i&b` m+hD 44461&6&& & `1&DH$CHF墲&i4݊[}櫵5m]ŒDtI/%ȇx`PH4Ѐ { xq"<@ I 4yaEy ir' I 2h1ɉ$bR Z) A Ԁ,D;D{D!PWu0w6o_?y 4@V~Xhu; "b8,;nu W ./CD-R9* Bx<%zC+twTmpEw.m&dci/ovp oeҍߘ`%opT?A2-'1TYBK^bF Lq  ;d4 iJʧ.(I$%A`IH0  HA% aB@TWHWeP 1ƐƐĄƒIKXI %IPkH@4Ö $ +͈ P@T4HBD @&`00d 0M0D C`D2hh@ AH`@$!  Bm  ` @& (H`(!0HdD0F4 @L(Bi\Z|cI+ 0D YwU 10jBMh hTr *9C&bQ1 HH&@И L M A 0`0c1b%0%H @1B K  I*Em :&"#bCi HE kBѰFYR3(QZ8o]QET1ni2*DZE((C_VCPA(t;!hCZt].QuEQwE(@)@2s@UαŎq;KmqR; t$Ƿ>d@'4)Aa xP@\JГEz$@\U[+2l Q%m3 AVYn%  ]ɍ!"[ щT%PBw,Z $`b[!JCaiO5p(mӕB*j)Ķ\D8g ll\d2CB)([,2lv [a 0t"mp:*A,-EdE C(*p1m6A!S QJ Tj6MLb: V2b!EfHcR8c%؋Uq cN ccmˊQ#`1KfCTJELTS 7fu8V0و0D8lvD8QS d1T*DPj[A%-tEnKqX !6:8 0nTqf!meTmڭFDFQCdl"Ç C3T`9ppA(ڇ dUJQ6-Rb/`atPQ|*1sd+/"Wx@ 7BBH@g$}l1)!$0i &HI$G1 /  4{#BGn͔a XƋĺr`faz҄@$tLзEHBI|GH^h[BBMw<7 5@#_B1<0A"W9Da z܅ l]s<]a_ͧiLl( LQR[iG$EClڍMs<* 0gfx)wҘN0WLf]@$/P|:|is0,?Iu &>($L "1 !jRӝ!*`*BiuZ05ma؄߽@"LB5T >cRjBIm H;[o@ +|>ah=|4$#b\ x%Ȗb BY% K08ʳg9wAT#]C @(b5HTmJC55Eb4)& d6PıMgOe[[l3Q[;z?ui n`0sgO:Ó+ka%2lBh0[߸vl>Bh6Ic<"v;HR"o R(&cYO#<-jLqlVӲBc Y(Y˔ZN}FFITG"kJb*^Jeml6llJX6#a0%јMHg~ p&Ńv3| 4 )bſ[*0A/IFGk@ta5X^Qy T/9G8aWЛJQAcpgAp4Tݓz jX9rEzBuqݳmO+E[؉.=gbƻa1 ɧrO'cLyUUkR| oby7o6F(,0eFD'Z9kmrawԓK !IRO9FrT̂@[B߃eH!UXhqkB_A&?JѮto=..piW/ѮyA큀:f 6h8TSp`AG!1em16 GLUXoR!1Yaf+#m00 JP?F]v B΄;[l(mB%z1dhQZT0%=+m |ݏ9Y8 V>pZ T*::9 ~Da`"VB`0 H{OoU:+m}dun1d=M!,VE/b=c`J 6ɀz mڇ[5\dp:WՇi$M @8Q\s7I* 9nZhbzb)"imOUr|(* 'm ,4AF2BБ}:+I>-"AሧW︈ ٺWZL姁=VfğP2m5;e6."LCREd3"s1gBH FI0v #xUv !{ڨRA'h? ,AzAyLV4 M[׹! xs]P'}@xඝ&&le,7V|3(™MPE)t1Iu?-K[;Q/ƴ;7EBͫhGb5uvќZ @qlW -oAm p`aE)S]F-it^Zf(>1 -+oqp5mdºtW^薺`ri y)x)%s }B;VSA0P r'q6'kWXpxˑ7#[ȡGhu)YĿ+b!6 O A  H&cu@+5o7#A&ߘ1L-5 ޔ@XMͫEUd?!7|̼, OGjmĸ-tj[nbx Œą!!!}p}ZEd`8`mP,,B. PQ9SAu0Mf?k@0dh"D1&lS SLv]^_0Hqy0wä4OKO>(Wx'huj LC=:.gÓL"mw!:R978150;d?SӂNzYC\]>DmOyf2|gWkƯ$?{F8?B_d&A1}'X1Aq 5i&fL8a P?aWBtJ$`yU QRLkhH+9{^Ctj,D+.FQv_CsvO hL=8iy) x[t\VFZCcP PIJQYCDܴw_i ͛s#(RH"@r.\*Rk${4LU8,d΃b0z_CpВVD:,PKLM%wܿQmt>ŷXuA}B4r-m{1@E0p+̝Y8[Qat"2dYKO3# :KaO cD-<ؠa\ j`{ܽ닍 8lWLh+&XyۭI5tO1 @oׄ+j+;LB4 sL-S^zG)a5o f<{$˹}8y&k@gG uo*+CZbBns-%8#^c- gjpFǹ4^4db w B}- 6 ֶ6AF`۾̷Cb>0F]8 waU5$u|*kq ud2[꯻N@g<|QLTCdfK6ʄfy ISl/;O}!ؘ;kJĤU;LVO29i:f"09pڥ<\9xc3!ST!(Y9+nyMLLX<6[Tr<\ޑs=IX,*~MnlW|ak=Y3>WW jp~@ϩhS&lͬ!<,=9Z`V4D= /o;XYzhݜ׋qΥSAshhc#Ld0 ,N5K~0lN>u>4ъ7հX{^]N͐soK%]3E xnT\8hrɠh;tű#Л9 IQpAD qAhnh  -0misW][=<RȻw 5|,;{hk<(}bp\"րN8o z83C8CjG Gv\+\ـ` B YFyi!} iH 01 Q΢ExmzG̰gaj_Y4UorClp,F`wIQj9iQ^Ӻ+ٷC,A+ _&Vz*I 3JНzfJ&]'pt/\#pУhFaWKb3aXQAzA} ɋC h. r94;VEi4$/gޢbqvSCyaSFX'IbLm׫n5y[A}M{`lT6e{䞊0"oZM88NJׄiڂLW-E.LO(z,sg&޳<85iOnf_BqR1R r[;/`=4%L@PbM,X[{TƇAu;aچeT _V4e k{9_XT#ء{!.묨Hnafhm6~ׇh}הF׭E/`ՓlI9+ޏ$"V,8vZ Ji˲0\Z7H`M4mf{lctB$lwݦ^V\j)YX E"W3?tOᅵ+L_#HI&jyEn%?΄fh y%( ._Lcs!MDcS>0 "o*6n(ʠnsekT\*֝4\wj ^\Åռ֥x+.gG`i$Ň.^h ͦ8`~x]F.X_&P<+xoGD3n4+U'9!޸8b($McP([V6bO'Yn(p BP$ UyfccBKܛw?6(.޲,\qs$f'|匼uvZ쏞870pIj `z6&*;X}K|Cηl6F3Վx̴t_t.up+[6U1X'1] j@L ְtYr6'> da:z/mb}~B{^J86|.*1A{!igG #N9xؓl)=#˽ "t7''6Xa.OE|uM48w4|C?ɕU"oS]"E SzUTe<HtOG}n| g ݱխ_,)2;g=u'q|I&c 9&dͳoͮ\7I2,:m,y=}~c,&pk:\Ә| yn+̾N8>mlc^`6@lsB̫KYx0ީ 2'^^I`ZP^ >p^Z1EA>ܺ(/?IL>3Ƕ c-a5}}BN08-r ,* @0U:͐(1U>O;1pbS*؍1rUeS*Ef49p7Cg4yE<~{Ͼ`g 6'"J1ﯰ5iJ g/{X-.Ƴ(50(Z7ڰɊ5cY(ų8J0wä́1% ء$0[_x32" 5ǘ>@fkzjjs ˟9®R_OtMs`:M=BV2h5Gxg@ _.d?쇑M[#D!u 5A4Fq;6mYKz7H`Yyxl:u ³.л|-pkvϮH-qٺa칰fpf_wzs<# ҀzN׎eGxB?R6.S#XeoLkjgI~ylQf_5pqi]w&y,J^B{<$-'3aX.'{! naMZ߸/ iȃ/owi6clм `0 ]N#tWDoq3oGd3#HNUeYkԎ0'C6t %\-"ݬ/?Zѥzqp Էnep:`}ՠ`# JaOCGNBߜ)PfM{'hRa=hXq?wOfd5)9A5}u`I{t\.ù󆍟׃D\,}фS=3,([H9(6jBx9B֜G/=(L{.(^/Iza0ؘtL=7`VleA1mU,"\-PZ{765NW?1&}+=yDAA5|2D2/dj"kb{g=Bsmk鄌=aaVPb8 Xfxôhmit-cXaj,@Al0x~$56_ xdr8~"Sټ_k5<[>O$$ Ft-7@h_ZɊ;0I?܇0%Ȟpih?m8O1b^i(mi;cT%u2}otxO{MTB-P/aW|QtV鞔3ka%=> _8c_n ^{ 0sSF&z-_/l?2n*!6n`{tbzCE-7q_^ЎpX.< &j`F vhJ;l} u!ۡd'ՀZ, =[ۉZ8/;Ppsx7賢`VŪ]:'{B[B\@Ѩ[ۉA$,PC9or,Gp0kia(/,5t0(+Eo> `=(@|-s_C6քDnjᇅ˄]2;>s($ɳ^‘_< Ƒ,/蠖>3 j%c^z*Ęh4r eBRs=pel|[.B&eh1rOTx21Ʋ>FdϬ6Pa&*tYhe|m5st .-#n1GB Tk2p=E͐rEZ m(2I H`ᱡdLS^s` UKv/p m<Xb ןa`Gy0leMÃĭFRY Z"8̩4ok_k&;Lޘi>ޚ`Y~ZćqkG5^h;ƿ1=Ioz`<`>Q3gjiHoOg >X~C!{,53W|+Wfnd6UC9d gAIoYk0wX_z(Xeܘ I $l|bi`GпQ4*(B ymfLm!ꭓ+;o|f kƗV kI J:W-.=L)Hq*L3&(30ϴkN=Wؓ>' 0)F-9Y`s9 P)#(< {?Sohpy4~U˜sF ~l J%C(茂. -I%R6V6l` F>f}1WvʃG^CS8{ bǐL80 0E$(E]Sӳէ&P>LQOUz죲k2H2ٗw󵰰8WQCSzGdjvWPOG5 gه.(!Hg;K,,CBw _S '/21PsSa PqFtm 3f,fQ2ٞ 2k a%=AzO ߓLSޙU/mɆfVyZ/@;0O jH Z@#M^6 ҿ(ΕXsJ$3] GʿOI$2;{>KRH`Xa>75IXߥؠdq!,CșԢ-bݪ8 idցwfk'P E9hBg~U=wΌԇ&`Ĭ0;x9~J3xw,ϋCլ?z-8ӹуug)͹L ؕ#(יOd ϵ3|7SZCȧu(WVw9o{oZ- l` %Ȥ8 s6j6+ds3Ll&ohb; \ڧB菱666 c#\ Έ(/\&ـg|&kq=# J\\G 0z'+E!OnCj/}aH[ZQEa 'К5Q$XT=nkdBYM_: 3:뢅4A5{z uꄣh33ΰa{snC6 f D3\Ah)"b'Kx2MeCg@=G4֙ 1 etBVz 76G+\ C0'ꦽɼ>kK qjGd: _H4fw;_ibh{eXy_0%Rdt4[P0ޔdo\%@S⁋Gyp !cLQ~m G(HZ?͆'g|Hb81yfy{!xq?:c{Y>v ?OC͐:ɍhXHѯ|gebޯ\^3KiaP0$IZE *G2`Y77Dgxk'85idP,.C#%]/ؠ̢dUI:q`.%Qlʶa~K?<-H5.rσapo 3\V3H@<6);?t~|1 f/AYIaf4(aVVp֠8"=yPAO2I. #ÌɅomzP0#_FI;bǃnOd&~諐7@dT?0ryK-q᣷9P'i|p9u>LϯfxgLMl.E ~dB - B30s9FՇkr=!+܍VЧLaw뚂=e|.:^ >UwV[3c5lMͅ4l N]'A1MFÃBA#9'cE՗PzO:;)5h}mv;dooMhv7CMBFӮiX_Z^^t>V 6e v/u =pæb 5~adBvT}ѝM wLч:6? I гmK]Zn0JkzԂطYw FZx C.O|-5xM񾷉\[^*2{6H~WŇZ_vE 6py^"~*}|mA #5yktNɅ Կ[T{=kgfBupyZ}|0V;\Q'̟N8w>V [,spw/ (YӠ3<(go# M\6Ne) ETޡ >B'yi 4+!u-w-4gSكiCRfOFMpN'۟tFvS<"qRAP pgy m~FDT`hV1 ieuU^'U.P*h M[".ȵ Ѩ k~%dM&>tmH!ȵTӦ,m mBh /LN&Mg vWrs*X/Z-laqL1`#<c~+״*c.{a%_W%;cbPǙب<:2-fJҠ=M0w}IUB>k ? w';o;`SWJb P٦L:'=c=o Ͽ3c`$8`þ@GZD-1 8 <6W wH{%<2YQιP!KgxrkYJkHʽgh(?Vt@]ﰓ`~+L}gYTЈyS0^  fH׹9҅C\e<;0tqa`9IGbKzt=r0h5u!~O㡆NCq v?u4fSBQA/,势a5@B cK8 a(]fa3j}K-(w:xϾgt K4Xl8,P4P/ '85+dj*n,a7 f#!}^ҁpVƑ=]l8ia>"cdsִh<&V3: :jAt{xcٍ494&?8X3,^A|h|zk1w'~Z|A|=Y\)_;;v{*]:5 CG5#-|*3"v|T$N2*)\_尖pHÊSd1oVYwjl3!c>{3XOB4`Mѧ<똍wfMSoŕgvS%&l=CLr}m,,Ty=za}ٴOx>,㏏bphh([`\D2{}ָ yrDt`ǦBzrKnhő^> O{ Orm#JtPHAWeg4!{(5 >c0_W`N^yo¼_|3ŠςMcVXsv %P1Hw건éC wJ/dlO7>Aܯ><3n_GO V|T\ +YlFp{ϙ ߉tOLv\A}(cͻޑH34eoo!tihfC_0,E@L8UC ̊N4N}1py{G@bo HSmiUesO`U&)$pqij7Vbvy*ɣ`d@Ũ8^OCɼ:>q=p;keC/+N^}]g_B*qnw^l-vBl+nQ4wa&{j{aBZ{}(E&(q[.'}p9E˘0y;AFK"'\T]b'`_c^WD(SNMN0B `CG:զ#RQZ[H4 ,6^xG>&MʺUzخUpaF [b#P1, l_XkB ]&J%~r,%<$aהyw @q[qbƓ?6d`h=prWA*I9Vo-F}=O> ̻>h.g67tn]D]4<)rE^Lm4s{Kp2w&jtD 3ض/Pevj4FMc0O3ݭrac =H':Gj_"Jqeof+ʛ#h_%M@1ZrAZ/#RA1קGPEҚ#ٲ[(Th{;z:5y^ϏBڡh?HmrT}?"h> Ʋwڥ|YC_;^ (^я C91dM ~ōƋ'ɺ-ט Ek¬!AEOU.;_cC-{Sn/L|a{``wH\NS"gB?~ n']fwh"22_(-d9=&} Z":e2ҵ<#<+ ">~Wƽxw)pi[N`ܰuޘXrC^R9 ^Go >f7鲿E^J ɛ);_Vn;9Qr!u`upǍ]7rkhZX>IG"(Tf݂oPޟ\/FG~k3&\0p_-:3TolA.nI.S+P"篑nYnc l4BAy`Ü*IΛ:O>"mһAx_=]={z9R ˽p 2(aNwz1Q`iެpw;鯞ej`-Ed?tYnj> 'ZƘ?=*KxFb)FzDR(y4EtS\(#K•&9)!QK&3ޥoc~6W:sxZ_\׮}ёAkt#)r-h 0ã?IQ8,$vOBx e;fg(3ʫ4L\n>@ueH{ryDžXC}5`q=wwTPe80MoY$B_抚Ce⯏۔2 9UMv xIL, A/2/F "bDg;ё{YSōZq8ǵiO?o,tpil0ɄpH&)^Q7]._|+A`~  i#d`0+ZVoBv.pNp-Apwm\.e_6cYbB/f,0ۅ~2N8E;՘r?嗈\f]9n_ŤNk67vlCΣ$fj>RJd+`"}F;Du>$آwr9n#v [ږ H; Ox$:WGVhnlE-@lݲ3ˮfv:=m=72gHo˯$ocZ>:"0qno(5m}hlCE CUm@- X#70_w%-&;)rTOU֤CG8&07d(_QJ^򷣀.LZ?30l.̮㌤LT }.W-Y{?A?Q7|+SVvO} "Nlغn@`MP*ݠ-Ό>Lg'<'ueqeV2G. ב\4(=ˀGoܐki^k 4{X];վ ܛ:P f~fm~\krY 8MW*<|?=L1N7:TEVᢛVu68Fl7`\{.2#_Tڿklf]\){W̄=C lbOXOel,! 41q64lAm׈b 4'/z4ԜPZmoΝw;D䴸uha]~j7D_|}d 8l^C?p )??s`v=X<05M}lTYNJk ~S}{JM$Bf/U1ֶFqCJ>'G[.*'r'`Op]0=i YSܪuwqݨlj 5ۛyR(Wl)}97s-O d2!a!  s)G/OE ϋ1bAܞ!-Dݱ+Ĥ\ mK\28VsuT BVUs d8~ɊJY(WW䷯c;aq raꊸAu'MJ3 Q =qF#ݺl>Z]K|io\_bLYC`ְO 8aMHNb~ M(@D1UfX[Xkjag5+[9ԷXJlM,8/퍣sS|u/g9b[4 C!mS CW{k%Is@ՂVtXXK^ pt) 9YWhͿ ̊8|11wxpW fj#}ǝ'tAEvLYQt8ٛHz>cv"zc]zX$ 5Vڗ. w8߾C5s&H?]X0jQG5ѹ⛚[Y `N7'  %S_gt5(5XYi-9a+m@y{ɏSpIAj眖E@=.P9FЅA2T9uЍ`8xHlV*՘gg+;BW@_.Z|!` mQ#0NiSS)ٝ+{;+NӰZM=NEh ԟ,Br8qZ8eY}7ad6&Aȹ-v̥Z]-o4;Gb¨-I/T "bʼŗ y+7_`Uor5_p6w IG'BucuMf.J-8C p_ Mv 5nW|+*ˇ>8Sp`ZXeXWO@X3'-kOjk $#/nÿ=nHyF?ome<.NjʯM&ՙWSfvU*.&;ŠǴs o%JU%B7oMfPĖֹ<5\pR;MyYTmaEvLj9ThqZD=7XR!!A鯘ij:@hL x{Qew`_tܺ*lPEk˟TLȳedܚBWSY~1ZrO|uC'9v O߹~ߞsk+`.'NIX `g 0VkܳKb9NBfcCp۩v tvds%BG1S(4,,5AD9Qؙ oJJ 1{ʒm;gVQt}cT%+P(B 7djs̹5Ϝ+E '{ aA6|ܡ V /S艥֝(+EJ | ޵r dӵƋ̝ t&z0flEo%&eKCrʺ VCԖf {Rv7:4 >ܙɞ@ܞP,AY^%E?JXh+J02[fלTb z"@{[R ђYr;  2. } Ϫ _ [ = |~XRBr.w}Ysm*p~s:%#yU -pܩi^t]yVo1!2-E()>`KEdg$TFQZ Xٰ,p?ྲ{d6RU:.@iUl`Kť,ӓF|8GוY:ph%yAļh6+omt+1ɔ[l-G9郶QvɎH1$GNl0y7paye<0׬m\n]ddn+1G}7;F(+ 9?⭹ h`JUu)SFQZѮZ\3_, PՂ>^)~aA' IHY`n] bh_9J,F<0^W"6!" .ig?L, O4&^ɀX^p=bH /a|bە{ Q=7fL۬lۋ| OZOwe!izıM`gh 2<\QyQpajDM/WK^h[$-B&ɮk[4}٦7׶"e&d瘟@s0[bC\U5_VR`GF;fq,:(l1ȶ v <#F_#v\H+ ձ`R5A,Ѣb(8WI9DrC(8`EavF(-Z C?]_K p^q)Y$k-Hhi /-4Ah߆2=D'I]rpZ{v͚K-sY& D X=NZ1 +>{5n)Eb_{rha!:d7uÆʽ? [0ӌ-l6O.w[dauW+BۊXUY 6o4-8u{cØfaaAa$}98a6"^+ EG]Bh9SVFC#o6d$8(|J_c"І~) {Ӄ^0v꫌+hupʴ#Ј5+ XYBvE'!Fj& 41XOpBfjʠEL5La"&L= q!-(ܹpO6goٛ!cFPGxu\f*X !ɽi2Aw1f+T,ۻ3 ΟeVu5랴[صeT+AScFȝGV@(1@lGLfϒ瑈f^ca&pfK&l[Laʫ}fD`j5Rӥ{2VJܕlh|W`/ DQ-y] ~IqsACun셦I xαmgzabĭ<>A9Gb~iE! qI?MiIp/†Pd $ A/*AzKf83/&aw{on)reO6 =MsU N ,/R%O)XN i L0{֓mSNl>l(I큱=|Մa ҹ7\ğ*pQ{c6`<ɥ-TaW/`=<ot5[h *oϦ7\3t8;iU2Lªk4ZӨ[sb%*gMpM[wAזEJ@Uc-44;HRO~/HOeVZ'%`v$ʪ ˻7[t7I6@50OAM$lkWEndilqx<W$|\@AITSd]'S pg.m):UfXlSpd!avWG;v)<1 e^"pܞl튔iSDG,k 4@txHLp2 $GHc1HH=Y᫨sUQ-4ؙcU1DX: cC2fĐ9PC8Ni $RT\W6*Mb!QtbXpbT*@$ZMMi + ESM D40j %72"Z "bF nbe\GNi9d6mjf \(mA[:9UUD*n(L!C&ۮ!1a1ccnb VB`cm\L ipb,v%diKm+cMQml)D6"fuB -5 tLj-݆PbƬ!Dʼn cظ4l,!ݖLmesb`qnJfq1 $6J$)i< MQ1PC TTelm()Ss)*Dei"(.!J 2"Bcm *iZ;AS Wba"7*dDiRJ^"XMRQmbI Bll.W)Up>iM m(U1^n.+imD ]l(b!m nЋ- l1iKJbl@h6!7 pĔ Q$-ᠺmDD6C J(ФӔeIC C!èj4lm m0M!-VŒ 1h&m9`W-[o[ɭr7Fss8GBϬZWm͞ZS8g}ʘ0!#ӄ```К؇\CAb Ej& ȴLl0aVj9VF:јU!"0 6H;6jC#lKAɀ(S6`UmrLg6Վ|%r8OB9!i IEɝ-g804W4Mkj x: ϝ8S Ƚ{X\ӕyC8Ɖ X8k)QV1iXMV}f`b8-tNJ҂krr' YS\t2a4[| ":wlrM%uפhw,KmxFT0p|K` a@зƵ`Pm=BŋVv}⬔BIz >ka̶o0CA$9m錩XƆ6P)E@ilJ)c+e(P*v`aE ұmQ|f65qF>ri i$(G*~󽶨E/ [pA[0CtrdmA vԥ (s$9" d:R*"ªʪ8E1cǃ𽮺 2sڗy0/Jv۶R4}{gpw Nw'OjM]*#R8,N_/L%L+8쁻;0 /OzjL6\T9 } Y=n7UQlVQ$ VP`_Mc]V^5[)w`2<g;IMa̵1,xz*V¦vM 8уf3{CS_Wj8N gj{ntѵ*͒F 4\廄#4o3d_q3mJT iLdɵv?EVP`g}P=#W֧CZ |蠸/;%'c qChJNKvP`(B6z[6 4tI^#ݦ7TVl+>r2;%6.`_2u@ K-9Pò; &),JR>@-AmC|k\+&r5'pO72 '  FAωN=J®KKp)]X.rFm&l6t =1JhG(rH "𘰄1אggMD41nA\4(r(rZCX+r&emO;M:=ё$Cm9 0тQ$ P@HHHzS 0Y1VBZ{jd1to[ORN8];b@bmoEnx/J>,ШuoSrLj㜕1HpQ:_z˵I6v6tq!mL*Sk[_:!0"+ 0::ӄ(3PrE~$6Ȋ+ɫ0z?n]k\)1 93qVNJ= @y kqf6$b&M@KL8ԡ ѹacAM;"B8U2y/T|Dx%z9>,ԞKȐ:I;teaœX ,Pæ1mvQSz ̝byr۾Tuw,,a3aaGI] ؒLê5;buƋM6HZ gx3O: h!\DgbLRhg4eOGT>ÂlhsjгuP`p_,˲3kp<˺#idf,X(m؛l@DiƆHnƀX#횵nmKSsb&=F"mD\:$)mBSlvPKG qPef(&KES k̰+BEԾ\V[XYU \ͻpu`R70(jjSj4ꨱHd1ؠc`emV!(bc ,&\q.&e֐9i Ç33@I1.[pis3"DЙcd9q-čˇ28dH!2)Im722M s0:D6 H$!ѱ666LA0܍HuEEURX))B Ĩ䒀\YJpQS +S#bRMq,qiҍY)XULRW=lظbl+g,w”)ccIE(1Ye@Ш.Es6lʺK*RV% DKeLp:}J[5px*9 U1KC Jj˸CZ`!D@6 c,LD,V&؄`(@&25mJC4GLճ@1`y[j hiLhma D0e[ ]g\[IӤ*Ձy1EVv}x$nYDH'(:$Px!J!*Μ(CQi _8ˑPwjݑ]4ŢVCgTe>h t0sQqmx&*[2m+ʕ666#)qeJdTN͓[-Z+[s᤮yt*!*H+cK!CfX. |o ʄqh7r6i[r:aon&I ]07pGJZ2Zv e9; mQ{[ ԅ[pzɱթ ŸHDc @C%MoyUJB+e"xu"\yc\EldہĹLi+ʂ} 2@vPYi"넅1 Hcr/n$yop"N7`%UZsష:*/!f7qfӀlp#UU[Vs]F,XlUSԠ* maGusv9lH9]/'AFeFmll!Yܙع}=Gd0$ZXP4'yއYhDriH#V` fXok@SS`&^<[{CBۅ['& D/Sf&;MpbagTqų|(@=8+E86vSr>@mDJ_=8k,<ԹoE8N[n ,T!wc. gu2!tIxw*ejAS{yp"h)z 0?;,ߟM'>qE{Kt>Npdhzwof0)!ɦ[J ^!d1cœuw$E\T|oE[_*1:1ڕ;hƕF#-@T:69 K|r'Ts9v5+-`i nt]ATG#y"*Qq4?cWA˒M@Ifbhj#0:`uѢGRK,]jCH"mmcV 0`Ɣ7u"fqj[aZle ō* 0d4@J y^SFC@4n 1kL6M1{(Al?nKcf)}.OusR6ĒViGtfT<-Ł`,{[paygl,NL   :w5̀)&Ӌ;urz@;g#sٰCܝFi 7ݺc+>eY4FVO ٻ߭2<d) ԧ[a"$QO6[7Z6Xk;RB+;7 F^䷹E_$쑃G#Hŏ)O;nIuDo""o 8#\2AڮJpM-M<3*` Nˆ^FJC V<Z3D& Cm>G\@Cam[WIsl" Pd0厑,S]$<6KU7S\8 FK lSl!UUuQHUDim-Ya-T`v,9@YVYFK2͘&a+Vʚ1[ M"X6 l46"L+`K1jaʩXge XG#4>bl _uA kق̜{ρ_d2 xK3h3z+v[LP8r1T(DC:4CtQJ))I*̌"::8tu2TTLK4n7\I)eN-])Hɮq.+q 6pSSCRC" aTĩJ@ti &ʺj堬Y u(]R-D{{X,I2pp+vM=1ecLQllj ݷrBlCXHΒVs06x,XW x/(]E(hO xnQAW6tP*uOh>?ǀ ń&?';ֺBԐojvИrd8jHp0GW)c2bEfUQAX9l6ڬު~ A9Mnj]zMvV_(@AAmǽ}֚6V 0hY)aXe8ipsr J!Q,/ۅKPЫe;J8WkuHh6AW n r\) 8ox-(|ttXJJu]o A)= xsұ.}ѐORӦuD:/;n6XwutXUӔ9u`>(xH`u)l{]M7,[Ix6G>)\C (x Ԛ# GycUޕ;r{%M}qÆc Z;sb RߋA4 GPZZ'[  +1H`c%)bcrEHjb`/gx^*O3)XhL7*ri;X쁗>4-vHZz&?S^Ua 0L~ ]LҮ[pL"4 `7UЩj uQ{el.HLW{Y㻚oM$yk}7qu㑲SmH#;/y 1.B4oMjiWWgB |{au<(o] n180*}vҧ"|s9sESnƍr1`UJ)Qyk(kқ ] )!W0JӠ|O`]uʶ1zʟ9s*0GqT ^3#Hv/݂|9-ռ{ YEOv^6%@O*Py0L 2e^ÉљPڰL ֛җr]*@,TT/6>hys&A $+`M*ip4D[ 0M;E\wlIKn 4o9ɢWfДCgy,(ю6Dp\fA0GLc54o-* w9׷G AstNL4[\Ɗ ~=>U`C( TXIt؃Rp@L5)GR ˓ip=;@a`(9lx}]u}zBi]W!O)Cdl LɡFlq4 =Xd"/ LSc'68,|͆_S&P!_OCd_]0#+wXZ%4{8 83UQ税j€\ِW*gEe@bKH~A7na _ 90l>>>zv:/kHx˪d+ _Bwfv.ҥ X/dTSmaclQ\loV!`QLr 猙*E_u>˔<탉H3v.N/jzF dD1& yAv)2 ->}o JY4x4 0YDCas9ڰW,Ι?w,ur<]M°0waݦ[rQT&C HA:3@Y]'R]Ìu'az!dUCD{Yx~P &"Ku:ҙr>U6',H f`qG,hby3\٧ځq+R)`YSrSCN* Vۇ^k XĄ Ka?Fй(gWC8Ή :`m:+:'tc3Tprٍy|VX_"gt;NnMi,N YC29ECfAyL=VwbX̛1xn؜U<6+[C:^G!b6=br 0r Dz8K aқ݈۞]nlr{ f6'BࡶZ~{g XOOz9ar6c$PVn]r+/,[<^-fseoccmRNNu9<V܃r )rzpr[LӁ EWiyMb6bZ|]-?3Ķ[a)(t9 z%8eVWN>\-Խ*fXYn>2edb/M1&ҷ>Μz:P+~_HPv G.896̩ӀÄ iJLfd7 !nS#kR\ |Å8I u+ qp**!ZmLܐ⺚0g&"p\T0I2- ayR:p~&++,~G# q1ps1}[T-43$( z)pA~1X5U15.ʱwWYoh0ֶx=ET*NoM/7w#YJ Ɂ{jŹr+Y W<2Ȧ̲`HU,)TTjt'68r>,'o 92Ō;;]&=1^ C_'W7+eFtq"X3bY kʏ4&\4(xiZ6ƉT:{k ThK;\N &kU v qr=@h m~ECF䥰5g.LW|[?CpV%)XJTdw;=Db׿BΩQD o= Ɯ 8cfb#Kc1OvF>oqAO7-yi Lrk e*;Cm7N۹%z3*pN}dMV.ȯ/M;mvS]2'?9,f'ū 1-QX%ki NUy~dkykyn|<$r+|CZ uUNi$_&_9~þdǝ!\oXtߛt25<" .av-甽ޕiyrUtDNeo68diSVvG%Zs{Zxɸ0zZ,*̓>E,m4QȘiz#\XjruPRD@v ˆU ñTTab f3c5i?#`CFN#Gvө5:>'^^y9:AYSP'aY:|DD벻O@CJ$ME*S϶?t{E*F) 0 ڠeOIٕJw M* <;<);GwRDάd@!uDV$t|F0V&XYɧ9l.!E߮遠̒EX2l w =RKc3P (9ZmUHmˇdhB)BlHVOCz5Zt=-; jv̇P.JvvĘp7Qf*DQ,D cLrۧ#yv@jJ\Qaw1AaO6`x MPp`y ' qa*xZd>"6vdb%oM bo'$\ĕ8cpƘ{#k!B>͏zv)<>x1սsEH`2\**,2GSύWFχZ(svn7>#Xxm:V' 980?j-u@@?eCz.kL[Yv˴sBp8)1uHzqi[ 5b31pgx.f\$<,$eyB҃8Rw{&4]`7ӥ$7yhX8qz 9b6d?+ 1l =r7DD D 0`myt,Nw$#ݜ*)J\( PA|s%b_| U]:F"ۘtEt!oHt(hA 4 M T@ժN`nQsVRe,b}ja R)_7R ?l?!.S&ۄr YA~1 ZPr2k;݅^43Q h)7l\4` %um  Apm dQә6-:zʜ; 4.*pT 0rO*ƯBEãPw گ3J{mnC}:29Ђ:Gye^ LBT6. pi#><f͇L=Sj->Ku pA }.n]} |4pc 7L _A+X 3YX@ѸCp߄8b- @Sڃ@Zkڔ`8<.aPn݄: b¢L7͇Nڅ9+Lε[p]t ]L#0 Pg2؅'*z, tCJT> l`NH6X>nPl,FTMj ʧ1aWL>F-/*k_>qM˯i2Klax@dM#6˘8<02o !U=,g tHR8>b⭅6-[.V8)O3 k j6`6S=;@WC*?`R煴?a @B$ XضkBXMAP|樕T9+dUY%3N 'tF Fv0XH%_W^>b!v$7B5!|eU8y ?hyP:We۲+ 2J~\%~ FBs&M@~st@<L!^ HP>*l')m0s0RݬC1v^AJD06a fb2tǕ%TFvbqe=3WP4< ir q'+WrN!G~ѡ4!G=v/m ɘJ,A_ր6Z8cCΆJu«zհĴU 883GggLa9Μ90 k'[ zT.6 qy uK3~>GT'\ &(]s`K5hUM>떜vqXU>daDԼc},BtK迗 IL,@P p0E*wN*8ޕ9co\=A0 o 9B{ҀUeLxUk7n$/6Bm hE(%*!`y3h( 5UUVh8H4D\Ci[*߬&!6֋ i\y=^&bYOAT|,ismy+oA.aW:N: eHPo>-#;zZu~  4`4dC" >R PA@Ы@h>%x`~FOЊ )kXDL+`ͿFa}EF& ޓNHҚ0`i6i5]xk/ 166Ӻk̰!yNwC.py H^k8AqW}lV @WI^ TQ:AT SVJ? bc&:>JRA9d$ˠ2uO}wUP(7TB}]fG !|D0LLe$ xLE`6!o4W5u<_7"(nःp]GxSZxV @Sp/rp0>p܆%$ӘfˊB8Ҭr'aZWxT702v*umȬ4@)wb5ABg+l#^F08J ,k 6B,h)@$# +t\p]] aKU1u` `@]&lS.AQhTH"%   @΅Cf W\ tυAc_Cv p-!@`\B puVm0C ڽŅ; ܅ @. P#x"R~[0C <ޚ2[m~N1ֲ| ⛃Ht,To_ <oo1HĽLSil1MAQx[NzVM yK:= #LӪKW(Q⓽㙵ZWE=gI~IsG|0r18~RB!cbOGXGIxJ36v)|ȆɆի?Ecu歭qzrާ_ߏW2s6\iFD%X/'qϦ"ړ]K>m2bԪm(!z>9Ɇjg#{ڧJ&y 4/A { D?m2r&+o3'hr>z+bi:9.z sQ,_yP sִ zŝ׾OAtّU==B0aG_إgשewo5nTS@{֦/;<RhJՂeAqjm4[,lMĜxmok7P'lѿx]]KzS|BGlzI|_C'Qw1笃O?Ӱ5&v~J jdل/_;^ 6>CeTVX3y|j']NJ[ncڥHc5,.;#=vu:Yr:K3t|HD~G'}ųVQ>ux[q$'j~ُ^>V޲݊?_3pCP|;2 8\2Lg(n-|Fߣ3KQ8x=7\?j\in}}oI]LkYCW9:o/~4?'o%NNoV~.} 3eծdaV6)9۞w'<-'~#n}n"L]5#o< sc GQMLu~|Ke*aq 7iX[`Ih;cX.z-;GNl^o(\M=oD7)'Mq#7(J֘ڍlctj/&,Huqg /RGHXel˗o1q50>pmovr¼ۂsddwAL^MX8݆tL)'E'r|[Ƹ[Y⯴VETKldE3*V&?6ޭ]?a=_jg^j&?z/$#ÎoL'׾!3.ϗ='#݌ OOt/Vn9| ,5킞6AihRyBĢ`3RdU _~^AVDcwMۢr%qy G$ _!)GIu_s#vQ[߷[=<_sUh7bn)bn} om>s.uѥ?nSO!.!b'륶|RuP!njɼh>}9g"m9Hӿ> &\t_եDg3(:K1gv]%eѸ&e.CnZ uŅQJ7| Wnt.cIFS$]ǖrK\X+ڪo<_n!H :S3 G82=KDJhC_O.>{<יX0dۈUoYTnɈ֎;fz8rf=Os(y?zEKݝk*6QոmY' Ec+ F?xX5JZYGr%r&-*~e>VX>^6IFȪ>,SFsmAu7L1 <⍿?s/69 tAC<#RlEBLfh 5v47PѿKjUdd2ܹ.#7?r8uu0nC`(S56({~ /${)O"KRӗ&ڶ@5\.-`+36DR)moa8wnsZi+tycg%!kȔ0QǞdݯ'GED?EEIۙpZ<ݗ,\ͯAW5%׊LzU6him_vǻ Y0d2-jIl Ǔ_K4ARPOhn#>̧Q77E&nqlv׬iֲ3DX?|N+ "Z/=}һjol;H.76))y{/vkkgoa2?%v<)9CE_/|ʢyfnI+owq(`Cszʋ X ɰ8#ڼt4vd_5'gߩ^c_H33>}kUooK`F~oNMY["-23//|7O~WS84`pvc fej n6E7g_w+UF8zWI \_*v鴣ia@x z[{n iɱ2y]mL_1X|9؇*9O/br륮p"{_B?y}t}'h9/ۭgWYErqtdw ={xipdxu[~'1=ԑ.u@[ܛIJcS9*t_^#[1]bzõٍYzѦZ#Rа]ݣMn^i'Wz6D0cMkYukRok<^mE3'^(gɹmPlN8r;EҖkx> qQ[Gdĵj3'"[6 [maJ69?C)?{v~zSb䣢=ojnW?ΕL?Z?=GMhcསfZ-61iMʌ+!\>;gnā=55FV*#$wŵ㨙*ҡҩUY>;ݑńRWa7;O%Tbjwt?\*sZO~fMr_(I+5+xv v=3f^\Mf6˜%_=Gȑ.~ M.c5SfJ+«td2<4JV/vN~76?FN/DэwU-/p)Wl-tXp֭:ULnk\KwM829tY ObGȅ/DhNa)^OTsw[26OGŤfD}OčuZlʢ=: (y]*$^=Ki\.64{]n=*y,{}$[GTUWzͨnKU{]gն]-VvגjEY=65/^ٷ٨l;1ocI,z[?9R\Khs]ky}zݗp0U8ԜKϢz{Bz<%jה7ߩCj7Y-TKۨɼd<3mo]Jξgj[oo9W 4Nug$S.|LO;ɵ_?EYc\uIiߺ:6tNU>bGw'Mmk>[g%X1S;+l[)5`f1,kLDN'eaz>ԟWC +cUwi&Pݫ?T.ϣ&KL{37 $_Bz?+g h: ;}Sbx1^' 5sfve_էeI1&rf>f=^ǏՉoz_hL :ΞmĈv hyV~U  ]m:x!ӲsܰZvʞF]w)}|:9׷rbYܲQҿ|/R/ b5o]Ɋ<|ZKdk* {L778Hc#zGF};Nm<*?&7I)߾)&o<[6>$R| #E65*l >(]2DDv.wF7?srbη 4M?@6RoGs^IUossD6(~v{?qTsys=a6rmטx7C@mvsv+[LN I.):2\S}/c-΅^qNJY;ޯb&UwUx^V$=I*Kf{ɨ?`GGTE}y rXN$뻍* ǝרuuC:| 3bTiZ|˭E~w}wvS1 _K郿{تr86uOW'EڟQb+!+a4˷gZQOAQ&AE"}Pmah˕?v6]abkw{NY='m{[a2#zWG4@m$^^˴- 4'# q-y|[8_Y)*|ܾ Hҕ&,'yo- ;[ 6;=ٛ.J{;|fwѧglL;T]}MNs~jяC-k Mp|;k}F6v ^& q=Jr8p5CږG5j?.~;@frw9X~6\/+Q{g qĹ)&OavC|vt|mS {[9T8Nu<s Br]8vlؿ㜡1iCNjP.xV | zH=#=˥SU2<[_(rINct^3UԾ~B3'[YL/9ڥEhRy^SکZAfw|֓E\ 9O迕] =p?[Ǹw2[yZfڒ27OZy~Z+)oKQ7ix o En!!\Ow>_I1)M6[W$1X‰ӾdN nfcqqGL#'`p;ȷ<.я@ӥ1aEWww զ"p4~S -mgVJN[=\>i fU9SZ[Mcb5ƶ]=-v,-K.T= ]t1mHsa1׉.`v+"{0u-] ecstM` VTM/TqkL&"CE`VבF-89hQZc B^c9!r3J?:|C~mkN{38C_*ըy+Z;? _?P|NE]Yci$3N0J;{ !Iݝ:A2:! 6"$q(GLT Pm¸[ o{;VlEpuyͻn{dY~JǾLs)ԦR A5pGdݘO%NAp*`H!>1C#\0&sYGHzZP4psQ@g=g#ϙƘ8|UH39021bʜP}q@zyGН&ze | =do_;F3"[ewN,\l)c,dzO`s!_1 r$7'Oe>&I#\vRbO<=Iq\LIR-lc=ᔣ4&XL)O7]l3.UëV<ȓVz["Wıo6#fL'2D4ghKɷRrPA0>Y:Ǫ``'`+1q,E{1F챕81vR~4Y+$4œXK0z̉c\e^MX`|~ؠFhemƬ:m.|6;6ZJ]ؗ1̏ݘSL:lc $#/XgO.%'ȽY'F$GA/$F;Ns$CSy۞Qs-ps2ba6Br3|kHzx*)Ծ:\1!ǏEa izhnxr6 F93Yf:=*GxzN8?"VNMLi72Ƴ8.GPx K*ӄiO4b;ݙ%?<Жr9N9ÍflJYF"3Dy[<ԃoΨܙ;?cLQ\lFm4޸rGlj)# 53md<_g@㖩S lC/AyG^eǞM"V 70b6lzrL:U e iS3:z&$̛C*jn(cD!gk8q373~W ?R|Kiwʙr]ex'%2p$c;0,d)= oLyEۘ[0*uZ+0D0"~Qϡ74gT~ifX`1- DaT{ 8ÿ1g䀲Җz?sx4E#t3R~d KIHNY砘.Tp U"^ ATLAy=7#87`:5;o?V@+Uc!¬Wj/m> C/ C2fkXT"h6Q0ƚS. gMI"$6SŨ ʙ qh.bP(JZ`A3w&M2U@2Qe, AvYdƔŽAvufMԤJdJgNp)<:]WLu7Dq8j鸝0~C2`ź.#7,r!ܘ3vآirh1M9m,PM`eO0قi *EĈ'l,GȻ)%9PB"xprӰu |Ό8;t^\&eUӎ2Ƭ:2g7_KiF4M+C6rtay68cEm-ZJ5֣D-#Kn8GTeOW=3pfTQI!Ҋa<>stK{Ϛ)QOxyH3d6i!# Cjy57RdJ^/eXKY)*TA2H}?2N(cJ,d~I {>CnZ?djUyco$y̖SWplCIM%awe8xda8m3eLYg #kb*ıJNA<1 fgtՍ BV!}&L\)%*n!<$ 8gѣmHL̽ Q07dJ:\?fu yOY,j(zgKYŗ!In Mx3x#;G5K9=! Ak$"LIg#&{)|hc6jGL&$\o)).G8эu9nqHLu0$)~KI]H[XXL#vl 8 5[xy*4l[~ };EtN9DEG0Ψy8yԐ^/r+ ~q8QLx/j;<X(Ə@%gKqctH1ٲaO&O$Ø#T,<<&c G̥~'F\1m0VAV4tza;=G(ǘO "2Fr01ehk% Grf^Fb_`̹Æ`uWXg b|V5.5SI+p4䨡` zpUKӖhۓ3d1!1R#ߏaD;3rj*02A4L!4Q$&G1sD9ep\)f 1쐇8џ77P~ x0Gv o.&$SO\k2崱N! !3p73?gy^5Ř赋1$8D{{A@t2Xr 99onaK~RF)П"(NS϶)+L=tʞ_w(7Eܳ5W`Q:C/a|5\ߒdЛBx4dea,`LH}HADD-5`dKq*3Y@l 3y䡘xqؽL$%\l/C{)r8ƛ4x4cI&O32v1p`i2ҰhSCb-E4Jˡ%T |ʜ8hS[B_ .۔'f 1l* <N7sFts/@!'Onp G ސD j/o8/j+IA1vS2[YN|҈B=]Lmc"5Zޣ%h_ đ'FO*KXɫT2=df3hiS!7YvGoZOj\RsYcrq?J*1ٽd ᦖhZw/$K_<(u۳$֛䉲56x)2QI3TYR%,F]0CW*-38xkgRep^ĭ>'dIU?0Yaj^s6IΔ֞O|v͡'[M:9I=3X'{F;6b^Ue!4C:PhIbvsfN6\f(!JLBo^Mj%~$~) UVKt ]!cGߍ.B SL^F4$OiB[m#ѓ>k!pm={NME=HBY6Ɛ2,C 48e]@<&&JZh3I>FVѓ諘BaPےF{64cq xH'>022CPsxS8fSkI;Pi2笻DzLDa9K#PNhnB4DWNVv|2z`ǃs"ϴw1aa*&ղܒykqGgb*mn'$Nlt4簂hk.J͹R#KIBrO!8DV0u7'OBb(ȢX:4dΕTq9:[ɓ)SkYC– H`yA&V דgTPLpb@n/mBn yï%D&ZY!8A?C|ʩa7zCP k%D$գ<y" N\ڞC,jc,eY1mQ$gp[Pb OЏưيф3XQD]1yl!GCUVMu]?Cg䉼(r&Yx1ņ>'i`T+Y՗w'_B8̗3Cq>́y Fہ?Gx;1$ZlC/2f l 2d _7p1g,̉;0c(ZG/F" d蟩3xxÏ}L~'KC;ݠuKL٨1'| q6rpʕ˖E.ylĶavNZSX>t&/9 Hu#`i S/*ǨWK].[ K2@Vg[2*BE ;։##uKa;'$tLqǒ@qI#KΕӆAG#"j͹ 6&];P)q'$ !JQ5e2:>dNo! !`AӺ>WN(OY?]zM "\ɒ5-aBw$b,WS\'T}?h0'dbNYNS>(𛳟1#u#i2sԚdڏ[^ cGSFFj H~dsd.1୛2Ñ9`ʚ{.ݓ~CCyߘ9uBZzb) s5>~䍲Sqe (_{K= K/Jx02k )+.Xrp =1Q.GShɃ9r0N & /EA xc#&89\^ eȎ/_X Ii u.p"dzK4g1AU1o&LQOqуԕBcwkЭA4H B7uZ9.UZ] dV#+.D=W/fP_{CZs =;҇%^"J hh5Dk8c2xT: ߅H7@p r!LUA7Xo hp5!i=~|0;z.~(j0]u% N9!v@quÊ@j(% s ݃/ y0T+ Yi!݆4AQ‹ U/ Pos*3AH&] A< %| hsrX)Osvӆ|X v 0H0'w `vC: 0]t.A M"C?gv!cO}[͇*wC! 7`3A8PBD%f6F %Ϛ`5>q9 M< *nP1_9z;e ~`ނ yuN# l3! sL;.] 2!Wƅ2NDž\+ ևA 2A 57@B4 ZD h@9@OD2B XPb/ t N n'eRFd*AJFp^x< liA u$+~"j=Zj*ԩpX-!jj,3 <1D c! h,`\0~CH_]g `xRè0kМBp`47 v o:s xvpG ':` ?A o#CW֫z ) xGpoӀЅ (݄HbdzC  fBCx?P0#š h!< x %^C t 𫯨u OîˆѨ67}ma'.}S&'C -(1!2@n c>` T,\ SHikpR2KՇ+8@eʠbԒ`қVoF/ [`yƆ/H`1a̠ox F 0Ie=![ hx)X}x7Px/ώ ?ۀ\W4 ɤQSPT{Tp5P Z<p6Rم0/"pY5Tb@lB 8A i0Ȣ,>RZ5Tz: /dkqB"BxրOjߴ >]/-#޹|:~("G9)mYKt٭:4 dod<I5 Ej+^>ڀWC(ܫ ֖Vp&Ť Pv V`YP|9XG<ڊ`w ?t 2((u?30eB-B;s) YA)[պ]GuS6*`A! " b0J n `2 (OD<*-q xK=ʽA5\gA6*(.eh ?>  kA`"Ì l5YQTz'"A| e dtV m0#P reOA(ZaהgY(g z\Mu Z߸E7 ʙ!_ߜmE@l+hj0~3O_tMA]QW!.,@{! ,IZ5nWGTNj׃f mPu¹ڐۀ;/d@맕jE{\LDqR~[קY3U3 Q 0hBiS}#PE>cȄܾ 3++b.V|H 1}ֽj,s[ڕ<-NxBhՕ3 8`A:l5G3͑1@5[@ a`}!-P`THH.`uRK̇~uT+~2- ޠJ2oz zz9XR!|t&!􉡟,"X,Nva>* XFmμ4f){θiY I-]|h2G.Wd i&'~i3]b(3/2+".Et.jQF`++nQX3ND'jñ8[5*rGl_U@%hO|q>[Qu@|2J>oX4gĒ\? F J&t}SI$B [@-K,R|l: 蚤zpɃHtB6C2`_pK.A"/Y lx }%\~(0?DfvV} YęT^X5&Σ测ȹftQyoMr {.K;lh;m2ZKW6{*i8\Zr1L. Ina{c Oi^N 76ǤyX&v/7f>(:jGSnb;Љ?yNXR`a!(R oRzW`8 ,҃Mrr.A3lHXМE)B0 KζZ*Yξ~&!ֺ8l"X?f<q )s4@nBΌ2E($$Y~J[.ƘeMR&BRdlƣ΍:?IXY(k&Sq z 81B2fLMZ$TJQ7haVq/ \Ltziv"r׉9|~TZ wL{phug&$b'Yدܐt0{ ,rŽdP$!Gp w;j}ث9#]@*_7:*S*X1ьlޡYݰi0/2tV2JP]p2hh|{ \ҺbsnC&c&r^{7ш4цm3ầՙ~]$* BlN׀ rAұ ن$T3Cpf'l;T8~Pk)DXA6vC~0e}'\PQBvG1F6K+壑:{Z*.b;IqQL qN'\ JX1E`dYf~2]axTL *%<ɔ:} {}XY& F ?C;S'/}c%C`JRh 轙eXM@:"-'Q^ʊFǧ$F/pGu{RxA%}0}\Bzd1j5N ՍYrg+YVhyƐ7ʳfJ"QRC=+"Թ3&+.vP0lN|* `1 fº2]iV"\n锿7mTv2og?mX@w[[ Z>~oF}?* Ł6/U/䍃:']{1zPlU2]LjM4]Z_ [QihE 6f\J,(6wth۰3[w_P0_Y \DқY[ЌVArE؈P%,ߵbz>p]͍f[bc?ǴJ>y,c dX=]~E>~nլspvniUոtt4Dz Q=2tp`ЍYmT m5 ](e2q`.|æ KyЙYi.>>%`2K?4ie踖 T|m[&P.ձ+,gޟ011;Q)G_klN&X|O.ȄO{" sO#r֗3)z~| :WWE8#fMe x@E?3fMArn >PM :&,ǝb19}L9bl&fע^5ȟsH54X Ʋ9\.,3\+-ux@\of:+3p/v;C[h(] FAZTA5ܫTE` "Ė |Xպ?SB8?M;Sy,=7JF;LW[T۳ypo /pjBx̭PU}w3ˆp̽ovm'_VyIF?q.SV˼޾?/0l] m ӛΠjb0DS׌D&@ 6+Y@@1  ,5y#-`_Мad<ნ2?0UsUvp$Ô* `xЭ TCX;8?‹!ž/>V=Xu*{M'zjmGsH/%ӈK$)A)[F{3 u?7xwtg͊|.b_}"6[CgqbкAĬWd9ΣhJAg$x=1Hg3$k_=)kxolLzw#i5rqUE}z ({\_ʕ_7E<'H+@[d-}6f:+Npk)`Y&U9*+ro(ZG& y.y'r۵K%IJY^7 >LHzHK+"? Et8z[Ba+vEF Tư^}k+Ml$D١*z[*퀬 C6iJn ᐍiZe+^M#afm,6BAo3kVsCʲWP~`̎.F t@އ_ uμwqY[K)nC4h{k\O>pHV-ST &>BdX}ws"ncC+XfgZrsdƑ \bqԔ0K|nΚʐ |tT_vk* d+׶; L{5ht(=Kx; I%CnnB :X ! '󓢮7M}FAyhS0aSAk#U.@CM~6aωXr}n+`/ S&QxCsK^R e%?ˆ@BU, I G0:tjt!x-mfPqt$wllGXapʖFk_z ǐjܦ@\4wܗtk3}l[M*V[@. *M1S`h#h+h">;DW'+Xny} x́9`y<ƄLIP9g^LkS&$}ϕȏ[2h+8AcS~_QꐁgSQT"¼?ѐ&#m! ̓~ @1(1Z*Bd `zg*<;XLN˱C9NF!e?D3FIxOPIܵ3[O6:|9rWscjYS1VB*lЇ(_So pZ&$=y9ƐBdj'GPkHixѼ\[K80M`u/20hg}(OѵZ0{5[S[ T:y3IN[Dz?Ě7҉ÌrcN")捋B~d`,lD{O(;J0K)TkjschKSz 'A;<}2rОB.ڐ,+܊_>a." QB:29la6)::rb< , ʻZESȾV˽# x36 vQ֤\ EW d)gk w7sY> k]: ϫ|FhSɠmx+.k$6f#-{h~~ɖl(HVdh01Zy'  B򏰕Gŵψx7pY$rO:D 呙|^`1!˨/\2AC $W` xC<6ZBM0(DvFjx'{MM3{cфT哽$4ndRFw 1Ԕx:XQ*߇Ȩt3/eN dH7qXQ}͓,LĻϿУVz:ӔqWޙAc(?S 9[34Il0a*(0n?iU)j]PN 2nEv -}oN9/ZQ->OCf3;=߇?<P4ZK0>B@ \X`b moݵszxDA6h۾a`JY)0v,g i tE&͢Tʫ"®dz L!s*lҴ dPL?#P/G'r2@ 13=up,? 9@nC(&͙^-sAѿIRq;2.q6lCyǟΆ6Vƽ6Ta`zTq|uI\ˢ'IX(rO75 i#=Tak޲R˙Xs*g3xf`:BR(ц D1E#F4_@4\!\}J SI// f5"oyZE|/;.R@@r=RG1 W ~t2}4hcBёlVe}5W2b`3WLk v*L$4F~-.l!J*[;<> ykK+?/Hr\m {TUYw@^bpF(s]aXcqs 1Wӟ>;,8> w CcÜ3lm>!sa U[  Vh`VPKUEL=YREN P ߏ@zfaWWh(׌;(|_:@!#cB$}\i/»F { KFJLm|&5@.f䬀9죴.z62abpĚw)ӆIʐ:2eLׅ?"qqs,Tct1FH6p`[7)0/=@\0 MbG{oށ۹꯲pd4Ƽ?ܵv3$r(բ( B`-)NykAw `J3-8#,RЭ<zydu4U/Xb}V5{1=5\T\wĊ\!Wko$s9pH8=4uCʆ'#^\';nh!S hoqk|RᤂKBL? {f,%C-@9+j 4@JZw~3r3Y†i)!\MM9AROɽ/,1!'c @R#ڿ9$JxcCf,%f .RKjE41P]ghs(l.CvoYv(,ս?}.ٲBjƒM2Mާ!DŽ*o-@(xrY=W|[I(g p}Z}?%<2fWvZ hg!M la(Ec(@:i:DlGp[&LT/ȼD߼q *s@ؘ6‚.ZYp薔Kc|}cP&aPd] ])%뤯4d o/_˼=QZt';W-Ұۍc /8 s $qpZe%J4b-4Xc@ gi_[ ڝIz >2*=X ) d ;gV*QU%-H=?X-W@ЁiySa\Af5uxJ9rȴҜ?p$tqxCi;N{TʐKmU^ugÇ:eѐb)K̤\* kUF-!3;@(Ni pF#RUࣹ0ы>}!5ǘٗ 1Hz14q*u^qTeE񢲉P 2{hm1o(_4kL'3tKKv4Sc=}'.7[Ňޝ!ܚN.qDYwyY! wdS/[`6t'&FHlf%8?ZA&^N^89߆6-q3+hTX22EKa 7HHA8ͷw~B<l0S@Y6pZ{g.챱+VYw|jR\lTv#b (4-a4YWPbBKKsDX3۵ ̌aMq&oF3vVَN EF@2i U4 \9$(8=9uY$ULʈ5z❲'J>i[.oF:B&?^B}M: 03 '%:`Yοz5 JUL YK7Fk)6ApEӋ~~5#eg'&S7MцY MWD*u[4#E KuRcBpB Wr}_U.t8M  ~y)FNQ[n&#&~#F8IJ7~^Vqkc*;`Ś$PU&Q|*m4 F> B2-бMoZC!"qڤ @JžBG~\"й<8em ^$<HZE2E ڷjUUAbfdˏm. SYɭ%5&$_Blm´DC}%g|乄!F&eГZyzw2@Mdž8vRCgz׉V(Ppl QKL|1N]\;0`(Us{;FDhQGY `UuP9!d#NJEۀ 4\>Wc65W6S49!21LDa`\o׹~h?.L 'E;+Ci7M9c,l XF9 wVԥt:UX*'p92B,N4ɀe6HBDӜg#{v(\B2CT OlȶN$XF8LAf 4f8LWƼg ٞUXs#=o%%R9bLZF 0Ux*U/e12 ! g$fP- PU*7I22rl4e~jEw5YCIܢǝZx.Ղw|al EAavڅcX2g6Wd<ުA([F+vM$uGf0FOGfNHz˄:1-9yEgd lXCKpj]JvVq;hr XV m2AJy8%kݢL6 >9ϩ }w"9˖7Re 6Q;Eb+لl&tpCLBrx>9 h BH$ ~IBؚM4,rUFhmϿlv XWUw9kq2ܗ4%_gI?(B^I@:O7;[?ݶ^m6郌j~xH4~kӑ`;sPm/HQn5a0 ͗Q95u03˽67xEzPֶ`$ī@JǠ[L>yp5-L?D\`ײa*0/)Wqi蝻 [&tg va2"%5&QoLĬ1Y'kued[!4rPY̅٠#?q]HNjLkXmktA:~aO|-Iy :Pi!P%}E~[soKſ_lͺź ]i约rfX(k7~TM0I[l S'Gs_Hz ϺfH)tUlй<95GRKJ)V5qQ@:҈ˇy'poK,V\Ś,+^\7tpl>28OsCee.h5%dj2'%<"aW-L,)YFPΧgG ;" U"{wf O$f=!t]N@L&vuּ8v(hN[ m+ , XX 'PpWɹ]8FݍxqӦlAm9-EKH3ļ/Zb/'ʂ>(2&2 cM^7u\>ē40! =ƢK$NzI*.-Hx ([˜2;ɖfhJٿ !Fb ⶩpr[Fu]@=a$%L@&U{GO,'򛌄1z3M=5%VL@TwÎpW :KF8b? 79KEYgQB睕c >wf&&>?@ӊm7W[yΎg飂Rʓmj r疿K PC+i> sBa24jz$Ȃ"V0Mo~vf&Z4?!Wc:E+!p\V*u'?O[ȯe6 |Z{Oי1^F2V>x>Hp4M`>CIec[؜ 0m0/J<}2е| ?B͠$HTm#S1;|>LZ .|D~ΣIO})"`W薉{p:8@ @L\Q iEh_?F[cpWW<|G\8 5Cs5ldV=l~:Zr) pWTj. \Yڻg Fc5(6SvY̸4gr ?6 fi1t Erra0[&6M 6dF6Wet:-iٜ⬮ƨ&_CՓĮ2h ,B@N>QnCU*8k\*L'NP{FyV:+2@}d^^u൙l02h"u;ɽ g;c[ݹѽ+~Mo-m&[k2nECńG- f#j#G}{U  ơh!LjvJzڨ  F=VnZD5Z3YěT ?.2l(JNI"ˀsAZ#1(2Nk(Ib_iI[dC`TU3ua޹!Ʉ޴loi:J?&O%TZP`Mh[W &{ 㴪#w0?up~Y`j_6cPG6Ȼf}{g+4+gegXҰ:S/A>8x-UϥMжUզǧ"F> @4#n"o3׮i*`>!^ӱpijB넜9L^D ؞|}ZQIzN[17Y_HqC%q&>( L<;+2k}:g N*ƮZވr7F"YMHqK3qr5i*#լMPVģ|oLCsB>>NjF14 9bs|Ń|>TMO3?$z.7˨4Iq 6{b|4 -2 yZp_&ХBƄ1TpCaý;Oj? !PJWf{5|1t?wbz-.Lndd` aC,Tb` %)l[g@]w(~qnVh߲MffU-]@J)b`vXnql 0vb0A#DiqXdZD؍mVy,1_zV;r^\i= VRpgOVIvN+ɠkV){N&ϝ 璗-HJ>`W^Tou8cjF5VB4b=[uҺ"6Cs=LLqIS1 PGLeɌx?&b šAS;za2eL[gWk uɇd2@h#tW8FSӔ߭\挕GTFx؀ Qku$(Sg^w./96t([a7[j(`D;]1M :2@.vc{9b˦~}Xa|C9>R{-L5f*,`!r`+6$`$ KIվo A]hƱ/=biʥĵ`Jɹg#yiU /jⴻ&j׺.`6g|};Wl 󹾖C~@Q"D1~2*ca_ QEC<Ҁ "jS([*O743iWiwwa$/a/yj:XFfZ6tĞ2'm5h4g*'%؏<dI-cޚu|zI"P^IQЯ.nhE¬%`#2K2d@w| ,~ド>z|PlfmrO eO((QS Z6MVbhWy i(l2GOyZxy`EΞi!u(Xj}g.7 ˖ ڼ/zpaHG{=-ׁQYI(ӻB`IճweO$ dn 9zBЭN-A9AlV\U__҅[{.]  ohwY .uʋ̛È|2E:zj_`/0e 6dدfT7AV dB g?z =#tQpx Ox7cѲ$f̝'e.=M}yy%l OaWx.`gܰ ^꩖MV>[mQWf1;چPғVnk?&;څgTl͟^3:!RY8+̰{-K l8)Kό%֩MUsucQtŜY)0^)ߙteB)w@<ɴ5smyWD5 %%^^Kqa]6v 4j!ODV3m;l;X-*jzӉL OĪTޫû=#{i͚J{eT302)l_ТFw*3EuB-{XJ C@fB@F({7^g7k?JqożF t%[eٖϺ)j%d;lZ s=Wfs/j<~N@-n93XGVEfOK kmqNdC`f}xX-=e8+ڲI(IgZCzxA,ͬF0QRz-䂻cl+N8T]s4L=rSj[ȶQcL|Vme^`ao ݡ kHd[J/|ś&MM<2&ıxhDzHހZ0IkBL߻SG ϸ⤞вp>b]egD[;h S%8T'G|r-ND{taW ].laƼNoT W`k!cg6O1`mv{fT85fN1 `8AY pd:[[I3)2@ L.;Jƪ!i zw lʯ w(eW@l _ rFwI@SX/HW]wnYLH`,bQCA$ DEYL'6kC#<05P>(R>qFnf⫠ ,cj޷NtCVX8;x ;ߟt!OVdže?qC͖n\0%ǒl=e,+|nUtufr XiN`&֞} 2XfFe82m\wrPo{\u ߘ=Z"_wOUa@q% + (򶆇3=̺b $g*L"kF t ׏S"")pt5 ]b,; rx* S)MVܥۦ|o -$W}-4]誮ҕQx$qX0\zg/>0@0A|` 0H0a!!$(AHH@ U'4AqQR Jz_!S3wt)h(u[?hUח?++jHB9H%ƕ_)>Qfzi!\Z?uZ9\>?~b'?Nڣ3yh4Wɳbzo0&]&ڲ|V 8v !JGMuJ-1C_-R:&qQTsOjLDJ)%fsMµdCU O]ŵ]pȏ-/¬觮gD%v O@j#]֭xa룂\KͶp6(|v(PD1쩒ՖQٔRHjeU9N*vX6:l؋z@U\] GUiV&"ËzJm ݂mR-s ؊SjPEpPRva[bSYOe4m!B^ F4|[LxO_X;Uj`<%/#f1q8SKR&i!}^Bт5mi.U˟ IlqII& cL%Kn"_%&!]mX-4lZw )Fm&D[JX[\̃n04  adڴK|:]7cz8S el}+XJ}`~Y T{3 XpwܥR7+L%6 %WIo@GȳwJ-nScX ٲi; ]4\ZiƣEv/; %Ǎs*/дC n[Gxc)!f!x0gkxŨtX45ò$U&)*܄׬*y_\}ĦH G7[VK|EE\)^ 6ѹ{Y (~y?)vZ`t- cAzn |G3BV=p$7,yQEݰ&9^rΟFfHt- LxIs]\NCE cSV҆"Z89[FC/Lݶ{u?(Yؼe0kS+sWXF`RDTj^Rþ8qz S TD` bPledSbO۶ئ&wᦛrT08}qqyٻ=W:t<Bk}el"%Aky9F \:X)`W y$@ӐiaD$` ?jf7;YS Op |@֨sg:]투 >L)P7+@>6/+Kt5+T*ivI&\nu%/|5BW%\e/f%ȑ4,p<d쉌M ,kB)Lw E5Hߊ?Kس9iBȮF!`eq ʯ> wL_NNl#>Մ ldlF= # Qa~Jv0H9}?eMןnH-gX:p:~~d7 @H*GtOWv蚝2 !fԲ&LlR3a [Rdldn@MQj;2> !0"CrvNvykZv:nW3 ux5k`wU[UZE1w!t-  ߌ#qܠΥh xҼ2dB2,:"CJ]vor[mzIdϱZ3)T|ズ6Q^ei(w.`i"A*K"pň@/ ΰ 4 }^zu'9obR{IW.1Df"01.2tE#t_r }e?+1,}>=)|, wg?[KRb Ckgț7ZxrPN*d2 нM YF5Z߁UWnA*8ayȽs2WW &c^r+SPp Ee '|]2j(4sҁG~`<@>n*u[Xew V-\`nZ<]nLu+ 6146'2%Km}Lp\z_LEn \sC[וz6=x Oݐor\("- !e 2 XmծYqS ]gyt0@ari rU_CLf7X: _ ɇp4 `$lrZK.m1z,Θ pJko ) i8(`"'{ڇʉl4"?f2/t2:ӻBi fQ B_˳*ϖ`9G[%ՎC*@F|Jz`&\uW!(i2ɸdL:Pdo/z+bp߇3FY#=So"K|ap`ӄ&zj r {Ve9>ۏTfB].ml)bzJ0ةڮWAA"~? 0rEBaO{O?Ag֫TO-M1Z/H˯n6i-.%g!gF슡܌'HA"]ЇTP^S俪ʇOϽj?jǚ+k@Ɲ"נ"ic,XS}^z-# R \ok_g%і~:u/Ed.Z\X^lUua %d[z̅/rU#H~0+ MHlTQ7 y@E'Z`9?I/Oz/T9]+V׌ߠ# ].8Q92 GXZSҏ");gաSJ&5ZYBo"J .65pb+ZʒHbFVp{HR'@k2nWbƭ N.Vbvأh*)vt0e&lPtwG>&Y&&832]/J3ם'j2As)Ty['OpXy^#)Uc97 *%kdSAL*N}%SVmw{E(7!4:`Ja!wR4X`, 9A` Aªީ[ZEȍ^9Z\Z  ϐ3f,7?C @UU2 |–? |+)4N}R1B ^ktzAt'yC +1Xh 7ӉpK M|=m k e茜bN-޹tgƆ xwY0&ZΈGLp6Xǁg+D|l ]Ab-Թ8 64Ym_c%2a_<46Ņki&Jd9(Ν Q+*" wQpB>CKx$v6k[u+NZ"3.k[ڼ7_$ xȜ 3ջb  \Р2)cVgT; Bu8?wbh#DBJ0V=I2i uWB8h.<ȣUʳz-=c- 1=nɃ \t hb XIО8$i+<;E~֔[8]Z!jA |a hj,,x2ʺX{Ʉ'L R#NqJk#ME]`uW|^tCpXe:qMIƅ$bO P~aeE.}kJ(2zgzoωaxeA9sCOryR{hQLb[v-|WAQlUtQ:]tBf[ (q7W#&־Z?[[F%{9Y5htP/s&Fհ qk}{4උ8?Kv]nya/3 w!DQ Pg3m]0@ Jcߧ}s 7J1Ygj~9э~w,u;~|V$\u%ԁSթnjU?nCj.PtͅL:G!#olJo]fńwWnM-`1u;ϷV*_=0"VJhڍwlQcyV*2mhBihkloEv'0rـw }9c,g%ixm^خrdUm mt+d kq8daW`A(ݓ1P9 a(QYK9;n\|[[@"|Lw^,X߄ƍk ŠU@bP<]\{Åᖋp4ɟ19=2dʗ4.pMcާ*,zGH&[3\[Ʀ3RTRN% @yt $;/@-҉g] !:6Om)#fRS@;t娦(4'e2~C#Sg8r3)T; ;Q^ٺY|m'/+|С٭F!.pχL8&*$,.3>Xc7U2;uUmڗ;s\2ViwJvͼZt4barzϞoɚ2mW' ],7_ @E  'G4X2۲;!kX bS^q'4ObY|@><:6F24Gt~ʿ4g)Vu$ 0cS\:[8Fv|e^Z4&c}Fr_ k; .FaL@Pp6HQj԰<Ʈe7P s׆ Z}ZŨ]ey)88 ZHxm-*4ҹDH@?VJ AV*B@#8?9iz`T|L,"ADZEvƽ!4vɂA&Q & ߫RTڹW+NT\Hzsnu´1W @YW^gpݡ|^@: 6qHl (aM3#?> xLqUp81(`?7 PƚyHݦ4!sݤE/&PV`bˢ^jKZ7|B5W KBY-{֜YP"Eֈaۯ#_zeЬBDhG҆hW{7,oS??d@KA!P)@iBIVv "B%ZU5zsMKG:} gv4Ð29b9i v?$W*4dƗ[`Ff<kAl(a͗l)nZ $tlh9'GS(ٝ<6MXW6RxǣFzbn~3`@;5􍏱26z+'̄mkXtt}^ 岶R1v[<0dZ03iႰu[lυrib> jk4%[WVv sots=͢5Jօuk5 _# >CUic1  ]  ;6Kw;CcΊevTjokF|f;<[G1bpԢ{%8Z=Z)V|G.S,xW|Vi5Yn緝U xq,ZE0wC,ꄘ9 ?f*UsnNĢA6!f*0}WjQ# WM/gz阾eKZK:Gp6]@`(6h@!őYަ]1F?vd@=zn1Fhq(/&.;2f:bd2΅4#A ;=\9&KyҺMpߟbWzޱbD|{d.(V6]?`_FJc:X?f)HOpefdA{.?QWh]b`xhZ$+ Ƨ.G?^tΪ"]3˸Н+iPݨrGcpŀk9zL;'I"VRA A~{Вy  ˀpӉ=p`&L d LWzY0 };,պ6 ,,3EEre m]&Eg5]S` ]r K]._<'ZySPj3:o(d/}0'#o4ML -}CzY7~k>}dk7a )))vQ]YN7ND!U֕5Ä  +i I$wsQ*tox. VX-sbBbDouq`$ՠ*zx&}m>n)P*`:gj#[_{~c䆰ʩt>ۤ TW$} '@p`#n R \6B$¥[]~oD D"+Ok-Kru^u <s)n]zv17k2L-= 4TИҼO̖,Afh&}6},~GSVCR P^JKb/OWHnM֞E Y6qP3p:A <@JX$?DyG3K#Vƙyr%Rc: (v ])(bgC~+BpT8\ҢWn7!ZqGB襐(-N_Vsv?ѣ]pGq6BW{ a盦۳*d_A^*ai@b " зhB0V!jتHK~H7ETf'Z Oy|U־^%%x`eӑxUh6ݕ.F2IB\1)n_ AǴWj,@w$.nFFW` CcZ>cLKl^E_d#TYDS*`vԷ@Yj>X8|8 CY8PȝAAv6⭝XAH?6a/wiqۇ9.j ih:Dk41s*eH׬/+XwB m %s*GߖPp Ji ]ZbikJq֓ϱûťo13KD=0 X`8^av_(|Ѡȕ;4+V $;!,$0A^NS׉HdoJ&-aPp}H[X'Y^<[a fN>_z ƔK@p4;o Y^ u~df|6;*Sک*& wdv13V/2{aS鸔bȜ:&8=]wike B?fbqyng5]}EAwvET [ϛm2ճI`yPyaTgjDP?n\~3j983fR$ $@c@5K).RNHsC գ;_j04T<)ft+c"'+;wcx;ث_a ҩ 7Tq{ ?yTLU| > F;/9" &x  pIw}+ܰ|)l va }f;;OTg^n ;hx.hv@hJ#*54WNϊ3-<#wؚTz d"|yr ⻭ _Pr.t%jٸޔLA^h6i*~^ڶl,+\ qP7^ѵu n|p@eH_ 5k ,|4(h4tp3"W0~ǒDWE{: Vv^)zU2dX _.dH%4&4sT|5~РW/Rĝ=<nz.kQ ʮi$#`\` Jм" H*q$~L44#f-1HFN";oC'.V+e:yqǸ߸8Qk;~y8Rpܳ}ª"n~-C @/:Z`Wv\V{Dq;DŚҨlSz6]#R;N4Sx *ѣ3\VmX43Kn^.7"G/ӖdL(.db|=;X&,ͮ 3EBhh ] CK ğֱQ[BaaSHô<"z>qJF2 O(_Te>.F>+my--TsUv5,(hbiM̅ ڵUc 4;TA[3NylCc縬D: sd=H6b@ob<Ǽ4qbɓnrD(ҽ`(S ;˪r{~ bv̍窉ym@=K fgʍ18QƒUh>?C VB9ck&dTB. r9,_`h Fc -G1="\#Ip!U Y df0Fdnj@? $їBs'ՑV1!yU,R:O2oF{,.KcQ7CH/'n)Gؐ|E5A3Y4v yb,J Tl>m`2gbρk?<oL蛯ui3љ. uzφx?Y\ cL2)]7J~2=}7֜\0 E&r(î B%oư% R.E@KL$tŦH"H`vD$Jqb*U}4; KL$E6 9ّt$⃻m7(uT։ :$b0g뷧kbzsa!u)õ#mZpqG|Yiy~ ,0XC ǛKt؞مrۼj_(Þmؙ@Ay4,`~0$* (  A`nA!@ (BV* PH@0 (A!XHVd,A!!XH0+ `°B`HP 0۠BokSl>XWÌ .ؽw@IjB⼉A)͑F!,U7}ARA*kZ21CeQ<=?=鳭`yLS Ђ@?~ وO~V$(rQF^A\شꬃ) f$z*.(1a?3N8R% _/N60>aTSMdT?#iVXd)ќFW::M75wT`C~CHIo+N{M$igkн鹸qV U;RЁR܌ZIJ9P v[cp13MZu)*9a&ǟ?_N'չ&zbye*񘦡t)Hqf?4Дt`;bZH,f€S dK(WX҄;f0>chU\L`10o@rNq~-2A+TZ /mvC=h?踆HMæAEsPbA>POaoCW-\·eUWjHO=Ï)N 0O X%K̊8-\r[JӅPK:;x+=9vmw((ʈaJx꧎[v˦p3ƨ"[eOgԊ\`> -X{#,ovJv,>P\tk 0v1+YKʬMƙPWE؍Kz }o_%WVţ.BK\3I<=14A rq^vȘCeꎕ& e6pH=FGr&18"!LɁ![{]Dȭ>5t[֧u(Y+bxn#@rK1 'f %ɜ󜋖,HISx*e6S8ƖH3KQ,uJ#ٯnYUm2}rُ^ۗ&I]M*dKG" p GO/CxY.^#!05 Xΰk:ڵV=yﻯ,5˭/ j_1UW5@ՐuXE؝Әo1N ̶O:l2o5mJU< 0 L=V FGOsn⟭Ȗ Z)mZ/hB8&ۧ[o'}n[&:dp{F~-kpiV %u ǥڱ\kYh)Nk:!ka\yGH0௚6,x*phURՍLNw8Őm&}am˩ɇC| (^F<1 F06IphU̮5;[S@ %l#j3JR 7P)l P]S+@I Nm 6.Cs]|ambPp~_ip7! {^f}sy2}DU<z}Ʌee꘬^-{3ҍזac{Riq 1ݽ6qg xx~Ăl]ذJC g Qp۞4j];BKbbF9Й3r.%OJ.ʰŇD:];!Br0[/y:U\h`%- &IM֊B)(H^Ϧ zx{mKzg*r`%D#!#x$xA0ͯv ѷJp9GJ;á*Tav5#ܚ׭nԪ[h:a d]b/ՍdVSǒ oίʷ@[B1:D!3Ю{|@ݹ '`fV|'9[ޟPzi 6^0Sf~roH [S# ^V-@3b9> p"%񨗂F%,pU|j@f@1Fz\ Uw tenc\聀}Y-M/B":A0 | \Rp攲ȼܢz:`IsU I1{V1+ ȣ/E5}K-emzmƓVY1J?ZN '+Hc:C$ _NRF),b!d"g!yޅ9Í>.yfAq[4,@ #ʊv[L`\OxhGq]RQ:8PqZC@&ΕV}쁏=f p^š2?YEff[럋(9 hh$~)O j>h²;Hꉉ 0),U=&pS+77`Ŏ/'[F90) h '%f9{4Qv{42fX JAy{T1!`Ǣ Y)MpHԪ~Y6$W,^+M0Lj YM`&gc+.4ތS47-qL8סQ PfEH*a("d*:"ڝ"L$Tw%tʹ?k};*%MԳOmr NX/OTpiUڮenUlx5K*eM+9 w)Rx3D}^ߞcuaHppW&LZ# K3+'YǫUۺ ؜4d㽍}@n> kQʚ{x],F4NB2-y"ɱjtz=7Sv5-=ZIu,AT#=A h/ܑ{bXOqkp}k{P|ͽ-f:ȴ6UN2J,ު; p(j?nTbO\sx֛ L&C_V!=.UgͩD'a{)m?ƒ!(t=ѯn MV]\W{J0F@vƨ' %N 6 vYBWJH |]O0hKSę2o}~y6(q/wߚ˂CQ9;W6&w. F-i/IcR_H9 ru$Ϲf7jYbq +k . Z?-v^;ʸG;4]L9p!Vkc5 G5[I,_oXjM]S$veT}saSFw]Ϧ6XOQ>iZ Cs^}P] H;/!fbwЁו n0NלEgoKb,N҂^dPI.,A@tվ8?x~[ )OYoS)ӳ}̠h tvߜq$ùD2a1ʾˤA(UNB,E*LbaoS#`Wk{ @<U$])vΡ]kD VRcܱO[zoUvɨ-6jpȦd_F~CfW('NG`˖3l_p9Wܑ;wQSlX2Kz_>xXʘ;iXT4dy ÞF_J /EG>4'TQ94$Rg:vZ08陰#a8JEpO9k]*)Ä]ώUxKN ׎[`(SqU06v:H|N9(jz<5MgҷaloiX1`8:ɚ&GFO{D Nicj ~BZƆb1슌Li@13 .8Bk sh4w&ߌ8x(xtypAOe!/yCBs'}.[LYz ^wfxN71AwKƈS< ` U]pUc](*z_jE"R4S*kkI&o#6[D4F9 4grU~*fm-!l5OP ŗf,)4r16,[)k+E]T>d*Z܄:g͙ST1+w,rİ!wcP܍ ˟Ő2-+[=LWͭߣIef[tPP%Ff1l5P`$BҘ@UԒ\+QI7x?Nr, ܛ;QvplOt YlOX2,;]pZ||7` G U)wCBG&5QcF;ɰ1.ހ6DŽ$г.8}tzh.= ܋iyUyr4p_D1-"BvZ@R֪=)+ߊd7bՆ$\uzaaTw^l؋cp154ho3(*{tzC!A2550,2Pl" D9̹ d,dCrJK>6E" 7Hq2qD(C&JR). paK (\I2Q#L`L2f[2J!6L0&H&8B9QҒˉ1-K8`sHF*r6 1x]o7t5-#N.5Hf]ᦺ!]px{Ffc;ϤbZ]7cnxyp5K+yq5SN{Ojr=jlB;FMn.}^t7H@HatB1sX3.)jpgwzQͨZ[=cp SW6L(P0_@H60bHDNm4KB]R~P9+~!0E TQY :,+޾ ёQHN?WK|Q3u ~j7Ge͕L:~JC*뉂0@ YBYys\ {ON8HF`gU\WH qkiGQW8ik mw=8Tn}YOIM/\~M8lȮs3 2Ph#lپcrzeYcZ ҟ)1+ P:`"~qct0:I{hd3R'yU@u?va=!(=I5ez1K%Ơ(vj7$U7;zھ//bF&*Ŭ$bCm8VK0H֒0H'3wr^Sptz/=chtʛݧ[\@ `ĉ nV h3a=oMpz k~UQ;M8ϫ獵6(5AWp, @Moew&:/U1"QQAD]^/M oQw3]?:o6tYwHLA|C>y5{^uu "U@.*[̍+=ҪKa 9dW4RAb)r]8>r@_֐  JCJ|SeWfBy2 5zԊ(m,'˟ˍ~a&mŋ[Uvv̔~ZYY\xu渜f ؕ/ɦb;=|4vHIh./1Iײ}(UkqW@lnH]Lɻ'@vP(b׸ 5IAY9xBl_.ݫʴ܃>ǽ{8yV+,%\ׄV p I& 8aszW6 u e2C>NEc xtE ?.1y-0`5V{H8R\+[J]Ju,E"e^X;?N$D鸝#ƣwcVp_%Z kB")^Q0?rbH><Gyb]yA5O![nM~vڬNx6kƲ w E QI\G>5x/GW*+iqAaBU zf19ANgfږkj< kv ֗sQu k[zm}Ӄ(k]BB&NI~^gp~ Vh|/BI5z+&U*MMPzLASW9me>^CQjw;N?ZZOA>BT5~;?1@06ղpo۞ "˝f_ҧ BlO]aRhX4'ax=cXj l72 jUp6g"! ?LOpVSD- Mq:ͽ;EhUY8rcj*z"[0݌R"Fpi7h za'=V+p=|'!'9|Ԥr;ؤiƎMgvN{etK. y[ω3.Pgd(JTP|V$h˦'a^Y+a5ѐ;i꧅b}\T{}{OV+ds c&0 DU#j@a\Oȱߜa`4)vBR:?Npf>%+_1xp.Bt)EeG&3"<9>=}zP䱊 |O&w+#kuwY2ps%4akD3\./rOZ돋˰"AVoU<c2= gz7֟+׎ӯ8\JKI9$Pyȹ 6>VH Z( Ro2Paj5Psxn>h0+2@krcOmEHnu`y"A}&Q"f޶hTZ. 7a_fvUed2 }%RiJ;g;GͲ)ϝ*A3±v5ڋB} ׂ.% RTfafmI¼Q uC=%;t{w殘hq;]U<"XŒ5\pniK=t(Mq` k6ÏGC쫋j3 eI}_Ц&U*?sV GEƕB^v]i{m,O/oj4xb  so7A؁ և gSJ=JnRO*XP*1 lf OEo^٫lDvݝėLOS+*ڀY:G[R R?pomRfb g ~R@2`p~ $#Lƅer\tZ6C8+hxؠ7'gwxKf{+^w~%G⻐ AZmC '1VXFĀM"~$+{ƖC]01f-=ch1d(|LڦJ,^biTEQ ~vCǜz }] gAy9 tA8PE8GsɁtOB=o:c0J.H3|z&o'D,JeM2%hOeަ[n?BGMaFLz`| # ƣU\|A^ަtN&XpB4a;F,-5VDLki>L v;̍x"}2iB** nN' .򸝂%צ\B@8i7Q7n ( ?58 .tGoXX3A!Mr/E9y [ 1U.(? QtTz nuJFQÑ0@CŎT`5  VHL"/a׬2Rc{(zPJpGSi#">_m&Meg0fΧKUR^{yVBܱ5_qO}?vkP7 B Hj p\pxu@0v  P* @aaHT9 8 gTĄY  $ѳ郟V^?N+'?mz;BeGNXF:+Æbh\K5 5p\oV m@Q'qymЈܜ}zI)1iq!rkFsx˭EkD*wK 8RdhP*1VIHy2dԊYNJD7C#2m7cNh%t滐QN~+0Wl-=@U` ' #=wiSYiҿf#InOrro;bۮ5hk춧@C? BX Z=Pm @( 0 !PWO#dgODisyL(y*?Ul?P-u: +@DOU\{uuR*C.` p9whL*N `lκP\⟭pż-ktp酮0_3;i?'ϰ C0j~,3F 3Y]ͲJK3'_$A^=%U,5ő31Xl;“`see14T˜1Q֚:FWL6=An//@NRg>LBll_w; dÝpI}~8N1_–V⨑I/Tг뉆Al@ kw']_%y8Z½kJ\'Tg]ZE'4(c)ۛQ 8"lɉE3ׄx$Nm\U~iyAhiŚ˿}ަ)mќpL`g'EY|ƅB3R+jwK~>>;W̷ьryW07,;A!" \o#C/މCEzQ SYkb$@vU@bߎ-AEzk@4Ë|<7> )W2MI>V# 뒀~lwJ|^B k~Ȗ: ;PV0 LB(gyFwzb̃\i(dDKӹXߋ'噖^p?wJS o_n1a ]pe{Rvl׃Qx/_H ѿũ OnZ,+2|5̡НՖYy39OjH,;lvlXaN%7VЎ؛ sMV6 +P]h"Tl ;Bm=0!;.Y=" RR!l{b7H* >^e;;<>=!2koe p*y*T^e.TЍB:E(v I>]@E,r s6u8hiX-\)K^rrc@Zp9L@N1kj UJa}8rS0GkC{f W  Al):ByH&A/w1,ֶ;-o0O>H\OϨEa[K--m9!l|dl(U&_S6qH~QhQJ2ѯ9ө:zNbOjffZZL19\ndJ> {G%ziz2+*ͧ p0)h8"8a3X7E-7ѫj|HlXw ]" {j7}ض%L%-PM絨Sֳ>!V_F;O4<;6{n%WT9k .Ȣ6"؉xCKu=VcNIȸ`\lʼn"lϗ̷dZk?kXsNCf`&#siS'P6%kNS ?m !]@ߤEtY5WZ 8, A\cgy֡džnU9B`3ތ},2F =8$?x=iV? SHo E7;\6n[j ۋyjn{tISb4Zt?e(5J?XXU*d^4ҢWl-jj=h7n4Ui[me d,bl9$5TS-:A+q&7UVKo0N$?6;e̤r;( &'GX `z6}!o0+Ό Kԧ1sB<fՆv|7=|oBpfU-):8?[fɅ9 ԞxR-&ʭ܁ H$;y)I39ٹQ*~8Dy*?B%i}Qd0G3*SlO8'4gcIH| |<,|Mh~ UTՂ/g-W#NZWBzTbn<` "KnEG0P+xmmfT&ZJv'EÆ>R0OAj/T-T`3EnA *P1"rW΍-fLO}>~a{ QFXpplFd?{bQ!Q p?|@*寎DLh/l&Fɬ4oi-&”eܱ-;'/A?.?|S>WS>]g=n gl?]e' b #&4R_aI(j6[(=ӑa)kxBZW8Bd#u.V}@A vE2#C%஝7?+,>}[v0yK~(ɿDžQ&Uzm]%,3bC"x˙x!I;ȠsKfzIF,T>,2MhWYl=u[xT|/}KE~Zھ[S=5),1^j`Jx2!?.Z|72!pťUr䁥cJ/@.OGiv%ceQ~С8 'Y5H5k>k}՛mz&/:Dde%p GkVi6~'*Z1˧|6QzXy 9d&ѥ 6Z VS&Rf B%6;O ѧ{[:yX{ &3̛atjVG"Օ6zc@g>1y-wlNZi@ܦomST{bD"Pqʩɍ@_`{~ Ħ(x,6M 5a>q6[YՐ t! O6'{:%TENfdl}|K}XǛܹS \\ P>[,m3ETC^ӕ*uX>/^ wRVQ؂Qy]CjmS,+wX<ԣˡnOK, uc]S瀱Zۀ`h,.I싰vpmðadU~0 FTgOL{)\g)U!#IM46 ]Bo /|(4=4 ϒ}ʿA#}߈N1O\͜r(̒G=}7L1᱿sdr6_o$ɫv] fÁ!&#VC&PB LNt}4 kE6nLׅp܈T E'a`u?UinB ٓ&L'|+{*k<L ؍seǸطy\R{Ӷ_@nI)3=v(VͶq(V".4'nHR{52ijkF4 Ņ ̔0J b(P7 ")jV|@>D~b@_T,4@oYwkl6K{O޷TTL\.#Fiu k::qpͧ n@ZpΛv>*G E ѣ::#.w@Vh0udUviĸ(5%ܸJs8S3@,GY}c؟%G'Aqºcyd(W觢E xt[_Hx%}['A֬azP&<1WLiI+rΨ'MAll@-ʑCu[kMҏʥ@ὢcʎ< $ߜj{ȵ] 6Ob&D]TQ CE xfe(}ӽ$UA``t^Z^GNdj>0u DF{z %=Oz y˜l0JZ8W 1k8ح>#:}__U/Da{3>a d mV&zuƝ@ Ļ_eeє-SVyq@I #<$97&ĦnBԫE HY!S&hºlRT?l+X0iq5te`A 4Yk$ >ty,]?3O*8O?=`)?6M8"):ꎸO˧Ś&Aon Ft Q 0T5K#X)fYKV$ºk|5=z_RiʎOG+(6Eie;E /_5 ~#\Rq]V]Z_0SΝJ|ju ,7>M¯5tjd'G^$[<(IUR/]` 2+2|Dx‹wHr-N 56_Bbp6nD o? ɟԩ˭0b fCp@]dݽDT*Xs{R؅N/cL]dZ^sT:-?nJ 4|zא@Rqe>Vεw_@ji|Dix@tx`_{|'R,Y U??ߊjVϩc/-cX̌AQVU M pyG=B& Bikߙ}0]'9jhsẀђ5>Y?[)("Z0r*V#̆BEN"`Y~Rctn@  :}bMH_q:#bPwQ3ꉨXp^^aE Pkit$ӪWKڙ(v D U'/{Ɂps7-^TR?ܢ=[z~4_@'5_A_( (B Gt!qG'¨)E-℘+` wxI-$oOjEE ~ih ӾZĹ"`[F^T;RTG_CW3D?d'j ΅>_b)A0ߔN=q]XR7N!0Y@nZAIkQiGY!e 6 W8KEo8(&M[ _\x!dx:@CgbeZakKѤp,tM2=߂/"?&Yu_/'{W1B-뫂ꊄxA_װ罄[qA}3Mf6rWUN? $Я{,rH{'EK??47nAH!"i^^)bқ\DX*58!zR$&(­d3 *Vc_7,AVT WHWT5kar}K\^2/12#ߕcx/La*N /v (T?A/s105ԅ02m!l,~ ɽ9Fケi'ƅfki%\يa?wXEAJBbnSל[wK&bGIJ:d}oH,~"Pld^~gUG]y$(=ˮrdj@a_006!uB~RSo]Z4 B&Xә or'/WS˄Fq QdWYIy _v*Fx 9)pR5ȱ̀Fkϸ~]6YқMrZ.fO(̙ o!vhuU:B*MxWB0>~3KskC*QkV ~?w;ŀFRtqVQ ^ ?SaEGUy MbG`َQex\`CT7p4YS-f֗`yu+1@FQ[/NwA$ 75x{ajWNpj,rSuq>Se}xaA=ɒ^Ut&.p˃$#@l*s8Ey'/t.,6kU73y``chkח۽>͌1$_E*t3 ~ f}C;mr -}xͦeGb8sOu8pbs{#vv97DL=(OF?>.im"Jvc e*aЖɎYt(QJ-_}<\[tN&{ 9B]s;ڴOs nɓ$]#J >6PMbNDu`hoyut(oCƯlQ;MF2bˁDqm Cr_c'#!EV,R|ڠk6+ahqTxXhIhJZ3 |5B_ovH<"S2BX8\*O~Y)m섡 x 808PP 0Ea$gY5P/Ěo9ߢ:;%ofaߍ4MI %Ue $uy"9h[YOo\њWʭW* sJ:z<٢(0 !p(kX@(``cYcp/ݘO˸g+B>ZXCyi/NF_Jۦh/+6,b`ҷ:L„X3և~}xiNɔNYz-]u=]P@ dVCOEm^ՉQa?zf7f" [Ad2 X eFa)Y\uqc@huԛRتgE/Tl.244zd5@1W3!ǧ`V%hA_d 7P=@P#F@(PDۜM2ل(TK C hQv-LEO^? }c4{^]%uwāTƓ8/)" Un^K:.oE4T BX`~F8084HSI^لh 2 [jTMVF8?(ڽhC;>lSO-xW˺^r?ՔzjBDaBSq m:J]l!P},1P`왝XU3@ N2xbl7F G ^.VWy>Q ')u:Xݎ eΓf`{+hZB68ϊ3oNxyЦ_C 3WqL-w>w,@>^tX]2\@k3Y͘{-1FS+^On@t 8η_躕x @`0`0a,0T5=Wc=s`}NX^*Bmm\Βxn 0_1T@M%- 4` m]nwBb-Vyzkv"!ނq, aQ4]ê@ L'-1p^¡`. Dyclnj@Ei/sIFҬwF>P>qW(ڛn/L ZCMC}0Ą9 +xi^hyj~P{J0>.]iXh_̔M/5shشQPmO? ߓ&]%VE?΀{k afcnvm#1 {ZzWf 5p3.^n9y'YgGLXrw/ jr_u4rV 1!O%WX]ks^}x]f}ﴺp#'e{'|_%5í&C=i+r 5{rL7A)- ̑yt L5=l#z5TN[Zjԡo2gq1 eȱAW)&\b)_ Gqv} Ѥi`2ܭx#‹j%pciKZrCzkZ'YsS*6slMوH1@W-m%Y"^ĜbNPBU= ۇMӷJ% 0> F\29?ؙr5֣gwpU0-ghK18lccchc!m1CM PU5\mX6,_jرO B \?G?ĚYJo'ez%NG`NǸZ/xCPT2Sa !l33bzZ3eDx(hAxvAPV+p1H0oFqV=Ʉ·򸲬1X`͕|rA*q4xՆ $-O̩a$Դ_2)uׇqXf=ɽmqJIEk\k,e1vHcm1W$[3{,D]0^5: ;8_ln PSeo5G9D_"Ң6Sڕ_)Np='5Wej^\i=yԔԮJm9+r6*^9bҒXC3nM<0EeZObu&ns6~tpqU!@nˌi?r]2R>TbZ,3 {5[uhLfDsvn@; 80SB.Pv Vr'毞7c+q:ԁ[R4$S9!@F^`H#IcAo4e ຶ2m-eC1"uRƮRBaξkZ2.J @.{QeIaO8{7?_XZB{UE-;vZ nW\Ђ7"4,(UǙ8bQghtʿ91o(Y/gr6)<s˵jo{ss^5K; Z;ʧAm]NkZ\Ѡ#A% u.J]u'UQ43"?Y8BOqnd-`n$7FB')R3Y9أvzR"[E:= 1cv\xK=q'`!^u0@a܃PP1@TzPP( @0BB`:!*@3810!~-g 8qtQnf8SҤvL0¾<dN?Dx'EY=c8q%[~U IL_U`M3Z,'SQ:w}]Xw/\>ۺʇ@5`/U[Cyddu:-Sk`ub";1Y`aHټ%~@r0I :  :9wJ$w=#$h0 /G]ƻIT럼8jy|΅?A^y Tg=H b]*gs[=zWhQUp;i?pjLQ1V;+ܵ'F6' i%0[Wۼ'z= 1Bb̤Wh (6_ V-@ _B!}W~VLʞ/1< ȥl }e,Kcc̼Tr!ALych^7o'T t9R31تeǷ뭻;HA["YZXup` *$G~gLrНsJ_+|BՐ!xPfv&FsG%EkS-Rڷ npC*Q֑fVx'nnCb{$~S=J攻4  V 'p®q{3(nЯ2t.8-xQc֧O'??l=fPҲ!(q>9!lRo@LL =i=yHT |9 n'#OmQwЦB<㣿eu. &Z*/G3 X4'*a3l4W1b•WXXS> ztݬX\ݻ!5UE? eP~:V2(BBJo&,]8+Klv{erj@BCO_ӂ]$rBYpnHe+FK`~̍F1tX4t a-hr5d R͡/ʡDW\ aR$G[q`C0M.G"b451f3ުnKŘ#bח剮ob7Oo.nL'3P|1lAkҝ,׿ć|6Q QET@$Kntݝƞq'Cr9DQ!ߤ.Xk8iz[̳G\TM XGUjTyפ)i\ 96x`xD # .y1U+mW/q2 ɰ<< 1,hluqw|5TI^x<<֬#KZgOpŵ);Si̫Nu 5;%k#`UDL9_+2!x8lO0kEbao7% ֢?lRozI)~K'9sd3*‘P:T:Rh q,h[4k Աr) RQ;lѳ'd/˘Rr%:+*lIYOQ4n % kRilޕ דN[aVD& 0;Y6Knnt(: RyD4b$DJFN:bZchp›ĊY"u_^M ` '&x$lc;@2d+-n$?J7:ڢȒ/ʸ3D~vein/oRn59 /2dVo]soEtSm}:. x?cY5Y)\ Pro9{ |Z8|?`7"qSk;߃H9 d~F lߺ9aVNzk1X`R V,gz#_@9O4(.0A-_6†b 4lh}`Ӷg/Mw|IxYˎ ;QYmc^%<.2|D2}Zsxj!|gXwNVRa'\,4fP5y;_@XjnwMaWC1>;\ȑrC6}ՃA ,CߨO_\I,9l8ӭ}pI;ux8Zt1RAc~M{UnrM0V&Ҳ*Ҵ|gK+dւ~ NA-+kmTՄmeoX3X3^ջ)\(=QbCEc;|&3'F HTmkJNVM TLV389S$6D60!2a+3;ݞKVۋxf 5i(vbD3 &׈4<1!?_wb,яgdX}P͜#BQ`spvӡe54.qk9?ߒ?e0%>·0n/c|fG' AnIp_#;"x.ČWq)2?d!oiLLi6Y,@vZg׽h.m(40^:5z1m+Ƌ 7VR١@44~ǹbE͸::/w9HӯEG3b_QWKW\XQLUBwRe S;^6e0 S'ٙd^fA&?a A PchdZG,UʋQV8;Zg!z h +>}O 8rN"V5NN [O.P7WvvFH D'4(S ~w\p萍AMx fTpM2i*Ӫq2\Z@3ina^ *A|6.ɤ}uu4\"'ЗXAR3߄ 2OJ]r%VM)}ڣݯ0tKx_3Ԩi$BY>W7xO=DUr!-&2t BXjbw2k;wx ;Zf[k%c&;4W Hsq:qH*~NJknԻƯyQZګmgL{mZ2Oe}œkC6*E`i[WNe!2Cv.N=VrMJ?KlPaѯJn*]ɫ{]X3ܗbsVwKX5,RhCm7~/_ohȬ>y5nsxݞsG۶!I&ٮX㷎G@5] l: bjkc)L> 2w->7coIn/ciicMT眬f-NpY&bWe^< o[2/&sDcccbc1c1,9'Z]S d)"pT?ܪtԫbBhtw|&bbS#\Iȋ B7rLAWLc%ݲEijRa!;`Q)']Bq:T~lVVWV3ݳοҮ9Y-1Lmm `lm>3]n/`r8`lm6E. bֵxGqhvCy8~@I(ӞSpV/:BgqM._AG.r6r²Ê6*\7,5՜`.QePX0gܛ V(zG1.bfn1%7YmejLkkB/6.j{TeqM+lchvMk-aPoYF,R %:Uohm^2 8>(8e i!jB]+!*:VhHjC CpC6A)_HMD1p<^|9'0S>eTrTq: %RWyBpWz ' ($ڦMDچEZ\,`٫XJq49,qa@U`w -oWFqJ]K9/} *Մ u_yV9'1I~B0㢸/+ ˾*CrJ3޼6{a#aWuHc$hZ2ɫț: (#Pu(FeEh5P%Qao ]?(V8 YK8R=cf+姮p72pθԵ{~a->أóa*UM=N-7/$quipߚer`nW+_)&HlՍ?Ul2kx&(4$!.,k ~fP*H7bUo)"MZo &kx2*zYKl=G<| hGBN^Wl~r8A/2bˎhO'(=siȢ)'TrsBކ_L¸ ] Hޫ+aSշ6㮜Cߋ!UhF~zf -T,t0ciə9QYWhT0>23\te(}&>"pt:* OPլBzHb$ VS[u0g3Ѷzi0lEG|^/KXe_>WJckpm\F;b'u>{`iKDdžxo["36a¨6̝8PPb[ͭٽ3\nlF11i5-kU-1ceKz:9v ?ˎTUv=[G  ν c۬50 @p\ѲJqWO\s#E?i >G6R%Wsc y|tP&V$-,^ԛU]n@5S1@x%G%$έ30Zv?Up[fKXuncN˙%BL+Q(^oL]-2IA$.p,psb*#^`§ʎseQ˪#g(͐aLa[ %"m[pG.e *f'<):[(SDoOC7~pFH3A+0=F}Ml2hiA&ʴ&LH:*xM+(7x|Us)efhTiB,c^8:6̦PvQoR_Flf-$z׽h)TԷ\gy5ϔ S HH?h0 8禵yw{e˽  222`KT@tW6.J~-#2\FT-?s3ٽ p[IA=;aFX(Nm"W_=_N!P1='f ]gD.2I. S4):^e;uUUKp$ zjH_/ݗ@$RZ"%Rk~ B,: ʫ`v{eW [n~{w{MCEՀLJUMQbͧ_#W|]g/"y~L~[jy,HQ:4ˤ(E!\l;¾XeN^29՛yw%|@R=CӃ 5L7VUsi%@M]-"DSwJ_P_ЁEQȘ٧.mn bQh{EDw!'KX:k=fe6G?=Ta )0{ ȕC<`O@]P|^~ ӂOS5׋i-&DU^A~QnU0AR>UZW#r͘^-9IpB6cL"Q-W\j6bn0/_N8 gI.{x8 *5X B$?a6bwWcY<Ԝ$ Z~يjLHqay:rn>[k9{-N'g`䌃 Z5 A]K2wMaݰOić0\dS_%9 ~ [=ߕP0Z 9qpcB&ub.T ziSJqxL:(Vػm<0"tt140o>D&N7=Zx+0Rp͠Ѽ '^,o_`,ʡ_}z*:aZ{ċ+;gnaĬ-z}}M!y Mud!_ŷ͚:;|Υr^P빪AQ{Z( b,ǡZW=<@J?Ϝο _z9e0vȡ* \0tچq`qCha;@|y*%Oaj A]e+9̶UGa#$=#ݯK<1E<D\_7^iy5<խEJۃ;X"rN {6#V)/hP>PAJdX^ҰES'ȯV3M]Uj-QBh wl ;1,80( \kO@AwK6iQ\(AM38'5(='[͔EB%.ֻH߾ox*}Դk^rypvC=zyjpXF&zq}VBm +Gt'|mtV'Tb$H$ϓUak>U7k. SvJPǙx%j]c9`5Vȼ5neQ׶ʷխ>lbPpn#_@iA[N n ph)cE4Ep* wMrggūI`EwBH@4(d3̻jr@ႻQiFuCh9&%Єcs>r:ɓWj\~ mn!^"9nÙE{r ?#1+R, XfaD,(4q  0mA !=\I~)y &N!zW=2*@m7NcÛ,21yF͹z^LXPxB(;sAȭb]iK hR D |y4eyv Nڤf|w$W[ߞ,:}ez:0 kI ܌ l &J2BoQ\LnʽTUp ^WC>Sv*/L)4` =DӓW!,_ɤ;c(ևly*6}8nL|!8/g'}"r4+x\zfǠoH0ښgnQ/+ZیoF䅽ꁨ,&ư|>M$wwz%]3_IpMi&X1szh,2Cl (9;K=kjxG,oCCڌ-eFFıv߭{W쫙ur,w{5)&{I.wYkʄ"|yM E_gȩp@ g59 5o$hN\Gsx=s_T\D m ^P|ds"2˿Sd܋x̞-Gԋf1qb}םNw-E &|v?6= &{"ӁFH$ zEϔ%H< D&0j u\a1oN:m1a"Ժ jWIT0S jf+5S腪a1mbq:KD7.N "#Kl./ҭ0hr[c8K|9冈+T$ITFIy)U3Pk8cWV\C7NOt#H~&"yG%C (lr.m_WB't!ìXk \(Nm뱪Fo:*-ɡ0˰s"1b j[ TbyO[MSeWC=k~GvZ )]=nhEXbLi==?qou \Z 'Ȥy6]w%87jXp.\~jp3yy.`.)S8DpWp`NrȞR^Ŧ_*V6' ޮE>oaS6`?)袌(ӱe-,m7&\0d~QgV $P`p- N9h^;>@?db<l,v35G-C.:h`|'p-@.=hNXrlIon87U;vtWp @:PX-ҋqᮟ!3)Fy"}m̪oު_0>i K[4ΡAM}bԛJ5Ue_hyF:,J9}Թ!G֞7 Ҟ^>]$ Lٙ]>G5ruP2yb?v,"8c8UEၮD9(ek~W!ІJ^QgFƴ5x[7m&)On؞w)kHF_v-'xf\-ArBԣ|hmLact JUB jNZ> dnJvWCGEUO&yTqdhq3\wsvt>L<&[ZP}ah5B4Wv0zqs.qH:$ 3{Ű.Fߠ*3z,@ʂtb@_r+[첩a`FfR;`rZ۳Wvs `\wRM~E^2ӄEѹv-Nq@I4Qgr6a U|B^s EVMKܚZRi_B5GγH<M)A?財YJI{MZ»]M.#SSpRlA.-r]tf|rC#qIg"n\E,%L|)!iu=C dfuiw<<I QjӁ9,/iQ8;>CVi|-Tes^~vu̾}A0%ƌKya/FDZF2OpnfˠquLO.e["jd#M[R)0gƪ+hխބs=-so|T mJ*BbA;EWȝcCwk~uMe߼&Ly7ӌR.8k⮯UjcaN( ͆M0;g{_ nMm=ee*X>.!=oغj-ʌ l-5}@.yЉ{, و>-FR~;^a/(eL8,=ɯW* !}eEސ@cJ4=g!o샏> _pZHJ61y&PC7Uh@ rƤߐ#DGx+\cWr $ Q)dɲR[l;IRYS%`).9*`Q1MQ^IC<&jf׵E&:|8Y`q"3歒tËDVH7՜(mlB}\C햀cG"gTngӴ1^袜Qyʭ 1 *"__.!jBU Il)&qq@H!L %Ƅdn f|]¿T2k+tBhʇV8x8>0 A &8S#\/~MDy[?bE& U 6`: iYQUiE+ܟm}?:ۼOa]*~ᝩ s'o]>t9N=)90kt~0flN]3ӽ')M_^Egnzl0Lc!6Q"Z #dJt97W6Ŗ{SC&wT` \sh6E*{*3ca.ۡM8EyC1L^yapa[*yC2XW5oo^7eyAN\^TE)'.ah8 /[=6 E%ށ\Rk>glO<[}O]8ĽaWPM#2\z9~05|LgU+zO-T&mX8ZxKw텪LްovZ1VOd^yv- 4&-W9OY<.كl}|ЮbtB꽑F DhpDEQ!SR@TaיWSNa4d(NƟ~g= xɍDYp% zRډЇl#~zbgVNZe𬚚'4lzz#.?Jޔ NQw[!9Y1nY-3>!jHrB (&*=}1%X qꂟF]U2J=%LE1&$Խ;ߴܳK~؏ bP GWg\E9O@`=A6į47*0[Ah-(з}uF^ N-]#{'PFD@E_rǎ41JRS+q=m9_~T@\!JwB+1I/ HNŜʄBJZ*0D,X¤,DOJ0MAbsj+Y);ER]Ia|<$cG*x*-AbLpJ/d5qvmT:1UsAWֽ1Rdz~A z 8wj oLY g"u(YÏN|+^hZܻ絀NpAt#'A?ӝ[sHoxdBPph/sN, VF 'Giah{t]y۪:p05rne\JU @h!%  )r6Yf2@CBP0pl$ >^Wr Ѓo~o8'HK-hKYLND 6 ӆ@8mlp6m p66 m6mcQ Fh!BJ Cb̄3f@n9ra9W䉂Tb8*6 EXZ҄кbp4bX\ɕtдيuW弅 :â<CHaUn^8@ծJFLt)h<4'w~f'öxn^'؞Ɗ鶅\P,}, 01=ZxT{%]\f)L~E̩Ӥ0ҘebBT)7cǣ\mŷDN4yճQNvX2T[1!7Uq&]+mU:"$^ +tmS{i^bON?JL!iĸ; Z!pUA)c S3 d.R!:а@ =1V m?SؽJ,4 fpmeE|jH&+$;є{WՊ‰P@&Rb?4R%bhk_~vud:H)#K'p^y4USneSyE]P~U{&p/,vM𚗒f ^b*b @V|\:)ɋ[0 "_%IMb iݠ~8{[{[ln8rRj>t?wtQx%8y ihEdȩЩ#> 'ekO {z\ 2oN^>4jg<[ˬI!hgNչH,m^[mUtxIAoE 8V!4ݲwѩw K; 0&}W*4Y tʊg]AX¤8hyapƋjנXM8`ϸ݄W `;AUY je\}nm̮){3e>\ #lJ50,Vmz( RQ:ǹM15~ZVJ|0r} B]Æۥ9 z®\;\5K/v kVFML陒 ?MRrC9BN>n g;DwMђY}#MX]o}X-p {xJZb|UQ'@e :ha67@g{U~z2ax K++`S:  xLUн- `[(i Zw~}҄LFC?B*`p@Q\SU4b NdV RLvih}_S<5)'3 +?Ψe. [o䌢㊰|g&`w_kd7AoyEӥ4`'Z|vdΈw:A@@w`@-^ %=oW,^ҜUX|pSdE6Chބ/s;0NO˘ JXMCI[ϥXP)3kDk-+7/MO /g@(s=d"ҔbΔ} Q$im_cJ1_眫@z=CLDBϙv!{ӓX[R D7~]'zi>չ&-ccHy% A?a^Y#xk:(= x-VU\+?o<}qaƅ$xדt.rY02 }Y~)/b(HZ91Ol9TfTtlb\1_ ;5e=YW| .} Y>@V Z&o$`vP c/TdmH2>29 ̯\p"݆ŵ:2wQjlob-.JALQ9#!𲊚`Ԙ7fÁSsy wqck[O-;}u֬{G~.y( -и^imo`[ vu 9 k lUshS**ym\ZS!+Ab-dL[teB}ԃamE[lH#rk ܏z#kaF=TNXT=E~yZWW|iyM8qi<(Iؗӊ?!o㼨q>I`:1%lA~~=]t4"Aϸ几0$-ĠIs1/`gGSWϔ~b3;!'#-Pw "B{J;4K+iC{A B1_4^Oyް5r_Yr@rx>^Oj>w؞g8sn拘;mT_fXɐ*ĆˣV|CۚP?Ҵ#t:z}UHh0]zwPHOݙw'lzozzOEKUׁ-vӧ{L\@E8 0akObVuI.: SxD0U"'w߃c23 K rx@#4!6kD+}h"UQJXF' 2"hMƺ+Krd9@}\l*W a ޳tA] Eυ^|t]" V &i#S:Cb7}>bR "f7y@1LLL1f{4pCr0zvp\aթ_9V.Y  &F\ƗFL?pvjغLRd*T~a/ayg9PMk jXNq_(IN~|λ@9, Uȶd(l$pedժGK7kJt  %y&ɱj0z.0^ 9􂕡1B!$p d݉igD۶t@#5PQr\^u%L {"-PK*e'4.+TvjuMY I0khsI;,hζ M҇&s=ŕv[IARUzs8 m2V0_wX} 3_ V;>/ZȍxQ8 *USJ@$gsfAJRy)d\>`|.0h&8/! npJ &-Фr .CECyvQ,Ob;͎g~ BO$M,81l[댯| a!F) ZҀ  nwmZ&is8gcqW&:\׌syeuybgmjÄh` Imߩ팯BM[aS.d̙9.3n‡ m 5 F"e:K~#Hٶ˜m">ENF/`B89359r4=mXkI`7֋Pр}H+C8G A?.$y Z:]#"i XS.'*tI]C{vj0, LisQ)P'F=bԖ>b?0<6O MK=ܖm-rZXj#Ibmͮ=>`i ON " bWeZڂR+sH['q'B&ŬU3\aykB|[UzA 4=3KEp~A 0` )l>|3upu~g9 ^l譸d-;\{7'0zgLQ1 "x. +ex4\A0VOȰ'')pƺ9~WaBحJ-΃n#Qj!Q))[4"@ڱO]˚ 1z+|Jq+?7? |m"LEu) E󛈐giCxn'{5K}ʋ>gnR_lW vhK Q#u͊qY'Kҙ[( 4x:Q o y:K"Я *OYl[,uJ*~v@m GkU5~*Ljl` y'bڧ.(1ӱsYBXeYt/y!*vŊN m`=gyﴪx_-v?{35:BaL[I<8P^7KnG|-l\~`lV2aKuQH :BjX]wejNꝂ\Mg)x瞭tЭ>2[N{rkx@^;'4jSrcΧ.NX檚X\JfVKD^pQýNVD5]T2a~9"+W(Hb ][ m2v&h;_sb>|yK=2C}ߖ-jFFi4^09-P\8gq80PJ`;p $-E0&l]|.}oU +f] ReP\j)G.Ϗ6w>7wŘ)XoaloD.otXGp~-vWv*XtC4w_sh/ +_ClF.KaNMQ{ c \NnwVNLPz*A5`" 5q?Ф$6D8AǑ-HՓ<^-|ZNC9@EPS(j )EC/xZPRa'{? F`n\T?ަQ{x2 mhC$5١WLC,C_ oݔ$?Q260fGtH qL2-WQ .,JsK0,Aږ;iaBEbXHw~ƹ,cO}8hV o&P.r"!\TZwgDMӈe:ZzHζ4l &'R!g<]BtE!4TﱊZqN`oIj/aSJ'/~LOuљϮ``)i HkTE\!:<[_9\BߙqL>#Z%ޡrns'۞sdN9t˱(Y5^Z` B68B=L\Jô)~)5lL+ 9Z;I'LYj!l l1f8)},[PGxX k[}YA/_GH U}fH1kAx5cMyqM׆8u`̏~`R {>{ݎ_Yծe@,BNΝ*eڷªpGzja(n5տ.0V,Z'{:Vq4t,Nh>6'H=Qt 8P  y&Ҝ' pG8+RRbRa3g+)N("+׼nPg!H L& xSֹa0DZ2ޱ#SiwD2 O[/~"[, 9$J2B0";<,#;.m]JjPΤ-Z T4>4' cAL"=i; S~{41QZ`#[^sR %{Օ1Iӹ ER>t u=d@5` 3,m.ز4⢃U`UA*s4̅i]x5^U8c=m\4KV '`\_4'p5wڈтI( y^!eB`O>Ƹ,R_`m c6o9T]BWpq je )ߤzNj0:zkjžXXRzx5' z7CmS~ ]>/ `V@]ث9U6,ȅ_b^sN%AY (k%y`I8iIӐphez5׼eȃY?p/,|7m37T/\Koy RV}>xɹM(]& q83TKMxx-};`U챔\LY )HG'x Rf+LHDR&dkcࠂu m]\(yO? @Ӷn5m ͰlMix^)ڞX0p>Ԭv0r 6@4Q89[%;$\@b}o@5Qzoy➲!kSgc *S]  >{Flr޴LjbC eO@xyq&8/DbdvBW.R`r!p#~KYJRa}Qyi|j)1b jXJe񅍾'fBaZ]_y{)WN+np/ox2yMSfv~Arp\TyqQbH;] 0ႀ $$ $ ]3@&#`nCqX(3 _# M e),U0Wꉠ-=vp>nÖ]rHc%+`"{J#mIE2MS?C 6H+[eB!ݲR5ڷzEʜ |Y=*0A 8g ^+_5y 8&åoZzTQ:Ej Fr iE 3s{VߘhSpd0P\9̽0|,F/ <懴  qh 0 AGl R``o{Q|];xKݐ"ICYěRqJ|=A>{ 8"4)={r؎nV&]/tI X1] 8L ,jj'Z缁u΍5)%_RӵRBDz<h<X$fWh98a\[Yt|o`i'ԛF9pR^ZcKWd? 'h|66r,,&]ˢ]"Ҷ{cPl9@%' Ze&- $L5?4тZ7v⋈aI}>Zh!|wz1fE0r7 R7{svQSht7WܥLOP]?aOo#u"[Y-%:GEmUkP[!ԆH [/&2ץ;$@F "y$ؔxJ/"p"THW&ǤV(6EفiMP\Y\Ee0hzh 5% 8~dH5-6Ec &JhD&wtY>p@W0ahOB͍\hW=X*2e:p.1MhJ}ވvBfkVIl__ge`S :r 6' /;0!RBlmݴEފ1 ~SY!<k ]_m3)sglu̞@ar΀xE-_|8&!HZM9 |.R,n~rc U DA)ϼ+$a<Mʞ֙Q@ƄW$J]$I 4C xXړ (d][qO@|*|2[[U7`ӡx$ʼn P$rܟ0R)s>)iZs`7Q!~L {@hiH\i$"$$sH4![ !@ ` ߚZsBi,I!}@$sI#`$fX&HB bH A4 :v@ bIKdh3l, B-&$mB`$BA״FIV&%Zb6H18&~&,kWF p 1F t¦ugRm_?I4ϢC9+2dE_(]PoxTyb I1$* $hH0H#_hВɌK*1}C@4&IK$u BTėF%H 44p)4@F!|пmxhL0@4/5% HX11k Հ!bAæ#q!$&XbI`#b=y4XV. lcB^A AlXU|(Y hmP/k!/@#Jp 4>X#}޲=&@##T!cA%&#󴳌[4e B&#b<,X#`iak]ux4.1.u"b1v>vf ^Dy{uMb:V aҴaK=ۄ@LEL;q ^xʑ% B؊ 1 -]⦗0; kDaP.0HAHn30_M "з##bJV~ d07!uVzvaմ&4SB)Ëq:PBE``A] ?o+DaS@ťW&8**,4MrW)Adw+ll91Zvar(B6ֲAJ KGA4.9| yb- (F04hZI@,/Yټl+BK k60i hKԴ-Z~(A2S8B PP#@1 jMBaݜ |aBB Io?{uh7hZJhxhp8A@i;j%cm.Xt k6,GlcUcVev (#HZgUD.c\g¾.ha F큀5/aՌ M /Dخya EL=OpVu;A0h$? wlzhXF!}*Bշ].QꟜzyX_ˆ7Buc;rѹEaeYŵzrŇ -of,0Ruf,OC`h5aw i?u v6=qB"ca?L,B0 DqEv ?t8`SX_M{rsٜ6#JCf3dMz>l4]/S>}28tZfPuxJP O+ʙ Ka|x|0 oG9z.7(X NIZPAQnr N6QZԵyY}Mш} &7)ד9M#>Y-{aL|V=ypI DؚnTŰh.|p:jafxՆ\k3XBdEޮJj}K5ppİ7,5<ɜuL.W> I;`QtUÃכ_J8iiI"v U-jyTЬPo&0膰m eBʮ]&'?\`Gmr^є;fr"WX+s+8/ju Wa0- B_ ' _UlL (p\)Yݰ, +pX>pyCSbXUKc 3¤&@/0ڪWB+M y mkmnB/Aזd~Ŭi_o#3Yŷ9 p !t=7©{)9FOyH?5#]4+…k(F-`X- 2X]pKm[aD]1i[p~)&PkJ"w>.>V RD7ڦ*?^NH)oF݀NXAUk+h3y(#Υ$ EZoMd.4] rR?X IWkT: huRp mpebMq R!f> 7AxoLe}I8r_gd[ei?,vY&BrpyGѩ#?+*rָaG4L I㑊xl¶A}:o'- 8fpLrw` 0y0h OTl5~:۲7̔ $oQTƐ2۟/KĻ-U9 eAd ûqA,__ߖsճwBm Hfh%x6ʒ9kX< b -7V@JGRA±X8NBzzr".DeI6W/h'{Cx*-Үrʪդ#SSiyڕtu-D0.)v>qA0훺jrYJu^AM8Y`@rpT,ǞFSrM2QyX;8oq`(+)OO\ V9BbF0:ܳI ljVC ]76J['۱",cvr&hXvdM NfX&ڄ║xi.\YwPM5^"h yF8 4[%IxYOϹt!jy B٦.k_] &9Ё a?DKn`6,KCA] @g، ԰3[,p*L(AȾf'5ӐVZ Oc?[C!<.30c# ;y] Lm{@^Y0B ,.SâǏS83~dir_Ut ]=uAp߆]FsM_bg"'`R ZX2Y 1fL(nXu ;(]3YX#K^1jj)=mJ;8( 5^ψgаJL:T -H3ϖ@`.ǯi7ܽ θJ , GHn|p2"e[Zpx _{3ϧ<1e\( BH4SiOʙ(Kbh0xl_Ki3`j zSJCU}L;J|٣LФYxmp*MFKnn . #Kn}# Cp~s?0-=>PӮl.UI^m +3E>K#pʚvhRaٶ3ڿ94ve޺/sIY`2[j3$][9XX,_Ps[>k(q9[6\6 Zj})8a:(0$DPS +M!Gfe*mMԮ&=P` N 7qBUQ}"6'O*ʇ a_e׹W D{ ;ɵ=Yz?DLZj %h2+&[ nJqPϝģ52z j<{ m(H_Ӆ>YFnT`x'egrмj*af }U$!kLZѺ*HmXYuZ1"*A1E zYy+vlaqOX|dSٻ Cμ *.d{L߇~&&㉄5[ᨽybѩ@ tG+^2a^ݕ0flr8[VL5'입 l&x#?Q&RdiUn 0S0t#M(KyBS,X:f{;YI *y _Z6'}=6<[bjӒ<0ĴF_7fE'{NzY#_Z`7Z#~\}lr\k hcR04)'#W{ߤc0}9cQΣZ?ʿ m,qUy^hZ9Aʸܵo(v+\O*ЁtLJUIVҘ09`c wks ~7J¯oӓl'uIb-6R=qĸVM?TҨ) lq6S2f]2oR݊G ZrC,e: qT.^[*ئӐ}._랥eOŦ$Ұ-\8OMã3lÿWxijtVIbGKh{tܨ@  <Ĩk#,7 ՂW]b4u)bDZZmB42pJ΂El?MqOyߵ'\UPkQh<",~.!HAHvtOQh9{M/ At?/q6pآ!64M8f- XޠY-ǰ^lCpko:Aշ=k4yVŖ~@>p;X,lp.8 jJ>-=4dսՍ%PnсS3= ⯯̗܋$ "!dYY!Pn"+G ee`ḓWZE=##P+ҽԳ%7QdqT`%}E+ hb=_+&Doq@(G<'z?cC۝^C *y)ˢ}7,X#!cxWN  s|eu%>WOz梦TϱZJ➭.{{Pj&IqƁ`^E̠TF3d&D&ϦA79ML *8? eǂy\!'M~*fa'1 ,~K;|8`ܼ)C00V ĪVv}bV8SUم2vŊe-S-ݪR(i(Z+H쎺 9`gcq[>&EP, v` H/L )knY)1Rz^ ȓ|i‡tqޯ r8=aǐjx =e V3'܎]5Y */xiجw(=8u$hm( G|ͩi&O׫H,?{xӇ`a߳~}#<1x3?lvg0/5X^ S=ʲ Qk*aft3ShAM?@*z`#m VLy4EcO7~fu3dOU {{ دGLZll_cqG}^S IVca}%ʍ+Zӄ _W`VV?J^{C `_2r3ҴF )H1-A#HBpn̖wU6قbC4 mF$b`D ECHД2"$&Đ1 HD4 eؓD"42D(X1L&0a#D $ h)AFr&N  hbuX HB`&I2X lZ^Wp$_Wk'ݫS\Eui2*PXb]n8t㔎r4U%;V5YNyN64,1h^+(`8_@-AvSo);_.A<ALr(s58ʾx8s~$ 6>t6G,:Gcz*&j L=֏I#3zꬉ*XI<``BHQ}.‰6,W ?6HnE. pP>D>!wjW!p%Ѥ)d*J0ƕ&`)GWb!!ߨ :eOLQX{WOx?4FЕHؠ*7ߏ"O\ͨW"D Y@\h]]I" 8]p3X oA. D4)1#yY-lIYhA:`)򺹜+!x  R8b y.KAô):r>zh@|"PP?$D|{v,n+ `(%3`Ct# 4Ap)C,0!Crx5~Zh8O1&*Ũd(( R 4D.tBͮ#9$l I\&>1GQȪQK:do&M"N_@pH1_U ,$0LR/t&޾礦  B4[ F >ʌtC gphVH3.W>$0K$' .D}h`tB UXDQ T"h҉U0XH2`x3d!`0S*P H!|-/deJLYݔ £4I!#/-zc56E5Fсp‘WG]BhA).,:\kP(i& mY.;sF<%-!ܲX|Wx˓H CS˴<;9p@<-NkCZm׋Ms*Ls4"ebܽw[tRR`eM3Zж. ihkVVoCW1i½!_.T -ċr`U )EQm@*DeAH(D EbѨɜ <"$*Gp͋GbrbdEf<<cO8SmK׽ %ѩf~aaGIc֘DBlבE A4ىys{7]^׬9˕zKBAD40$_4żIDYhR!Gj^N|ʱ-BƊ7D,1AȢ&x \iȒ'"+`oAu?#CBd|T^ pWq1WW,Ň ZlodU1I4V bsIq%;h'YĊ6Ըdh9ɀA[LLxl[" Z@MBj0hEz4$Ljȱ(fpP t㔰 ZK713Eh/\[[5Db8I̽ŀt|8c42:|roJ e} G*ckޙvie+֙4,^Q :?uUhyD'w{ eb)GP,}g6pBi bi$Aukg4N ^FoQ?]BB$BMS/R/zzz.R0000644000176200001440000002031714272162621012062 0ustar liggesusers #' Class "topmod" #' #' An updateable list keeping the best x models it encounters in any kind of #' model iteration #' #' #' @name topmod-class #' @docType class #' @section Objects from the Class: Objects can be created by calls to #' \code{\link{topmod}}, or indirectly by calls to \code{\link{bms}}.\cr #' #' A 'topmod' object (as created by \code{topmod}) holds three basic vectors: #' \code{lik} (for the (log) likelihood of models or similar), \code{bool()} #' for a hexcode presentation of the model binaries (cf. \code{\link{bin2hex}}) #' and ncount() for the times the models have been drawn.\cr All these vectors #' are sorted descendantly by \code{lik}, and are of the same length. The #' maximum length is limited by the argument \code{nbmodels}. #' #' If \code{tmo} is a topmod object, then a call to \code{tmo$addmodel} (e.g. #' \code{tmo$addmodel(mylik=4,vec01=c(T,F,F,T))} updates the object \code{tmo} #' by a model represented by \code{vec01} (here the one including the first and #' fourth regressor) and the marginal (log) likelihood \code{lik} (here: 4).\cr #' If this model is already part of \code{tmo}, then its respective #' \code{ncount} entry is incremented by one; else it is inserted into a #' position according to the ranking of \code{lik}.\cr In addition, there is #' the possibility to save (the first moments of) coefficients of a model #' (\code{betas}) and their second moments (\code{betas2}), as well as an #' arbitrary vector of statistics per model (\code{fixed_vector}).\cr #' @author Martin Feldkircher and Stefan Zeugner #' @seealso \code{\link{topmod}} to create \code{topmod} objects and a more #' detailed description, #' \code{\link{is.topmod}} to test for this class #' @references \url{http://bms.zeugner.eu} #' @keywords classes #' @examples #' #' tm= topmod(2,4,TRUE,0) #should keep a maximum two models #' tm$addmodel(-2.3,c(1,1,1,1),1:4,5:8) #update with some model #' tm$addmodel(-2.2,c(0,1,1,1),1:3,5:7) #add another model #' tm$addmodel(-2.2,c(0,1,1,1),1:3,5:7) #add it again -> adjust ncount #' tm$addmodel(-2.5,c(1,0,0,1),1:2,5:6) #add another model #' #' #read out #' tm$lik() #' tm$ncount() #' tm$bool_binary() #' tm$betas() #' setClass("topmod",representation(addmodel="function", lik="function", bool="function", ncount="function", nbmodels="function", nregs="function", betas_raw="function", betas2_raw="function", kvec_raw="function", bool_binary="function", betas="function", betas2="function", fixed_vector="function")) #' Class "bma" #' #' A list holding results from a BMA iteration chain #' #' #' @name bma-class #' @docType class #' @section Objects from the Class: Objects can be created via calls to #' \code{\link{bms}}, but indirectly also via \code{\link{c.bma}}\cr A #' \code{bma} object is a list whose elements hold information on input and #' output for a Bayesian Model Averaging iteration chain, such as from a call #' to \code{\link{bms}}: #' @author Martin Feldkircher and Stefan Zeugner #' @seealso \code{\link{bms}} for creating \code{bma} objects,\cr or #' \code{\linkS4class{topmod}} for the topmod object #' @references \url{http://bms.zeugner.eu} #' @keywords classes #' @examples #' #' data(datafls) #' mm=bms(datafls) #' #show posterior model size #' print(mm$info$msize/mm$info$cumsumweights) #' #is the same number as in #' summary(mm) #' #' setClass("bma",representation(info="list",arguments="list",topmod="topmod",start.pos="integer",gprior.info="list",mprior.info="list",X.data="data.frame",reg.names="character",bms.call="call")) #' Class "zlm" #' #' A list holding output from the Bayesian Linar Model under Zellner's g prior #' akin to class 'lm' #' #' #' @name zlm-class #' @docType class #' @section Objects from the Class: Objects can be created via calls to #' \code{\link{zlm}}, but indirectly also via \code{\link{as.zlm}}.\cr #' \code{\link{zlm}} estimates a Bayesian Linear Model under Zellner's g prior #' - its output is very similar to objects of class \code{\link{lm}} (cf. #' section 'Value') #' @author Martin Feldkircher and Stefan Zeugner #' @seealso \code{\link{zlm}} and \code{\link{as.zlm}} for creating \code{zlm} #' objects,\cr \code{\link{density.zlm}}, \code{\link{predict.zlm}} and #' \code{\link{summary.zlm}} for other posterior results #' @references \url{http://bms.zeugner.eu} #' @keywords classes setClass("zlm",representation(coefficients="numeric",residuals="numeric",rank="numeric",fitted.values="numeric",df.residual="numeric",call="call",terms="formula",model="data.frame",coef2moments="numeric",marg.lik="numeric",gprior.info="list")) #' Class "gprior" #' #' An object pertaining to a coefficient prior #' #' #' @name gprior-class #' @docType class #' @section Objects from the Class: A \code{gprior} object holds descriptions #' and subfunctions pertaining to coefficient priors. Functions such as #' \code{\link{bms}} or \code{\link{zlm}} rely on this class to 'convert' the #' output of OLS results into posterior expressions for a Bayesian Linear #' Model. Post-processing functions such as \code{\link{density.bma}} also #' resort to gprior objects.\cr There are currently three coefficient prior #' structures built into the BMS package, generated by the following functions #' (cf. Feldkircher and Zeugner, 2009) : \cr \code{gprior.constg.init}: creates #' a Zellner's g-prior object with constant \code{g}.\cr #' \code{gprior.eblocal.init}: creates an Empricial Bayes Zellner's g-prior.\cr #' \code{gprior.hyperg.init}: creates a hyper g-prior with a Beta-prior on the #' shrinkage parameter.\cr The following describes the necessary slots #' @author Martin Feldkircher and Stefan Zeugner #' @seealso \code{\link{bms}} and \code{\link{zlm}} for creating \code{bma} or #' \code{zlm} objects. \cr Check the appendix of \code{vignette(BMS)} for a #' more detailed description of built-in priors.\cr Check #' \url{http://bms.zeugner.eu/custompriors.php} for examples. #' @references Feldkircher, M. and S. Zeugner (2009): Benchmark Priors #' Revisited: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model #' Averaging, IMF Working Paper 09/202. #' @keywords classes #' @examples #' #' #' data(datafls) #' mm1=bms(datafls[,1:10], g="EBL") #' gg=mm1$gprior.info # is the g-prior object, augmented with some posterior statistics #' #' mm2=bms(datafls[,1:10], g=gg) #produces the same result #' #' mm3=bms(datafls[,1:10], g=BMS:::.gprior.eblocal.init) #' #this passes BMS's internal Empirical Bayes g-prior object as the coefficient prior #' # - any other obejct might be used as well #' #' #' setClass("gprior") #' Class "mprior" #' #' An object pertaining to a BMA model prior #' #' #' @name mprior-class #' @docType class #' @section Objects from the Class: An \code{mprior} object holds descriptions #' and subfunctions pertaining to model priors. The BMA functions #' \code{\link{bms}} and post-processing functions rely on this class. \cr #' There are currently five model prior structures built into the BMS package, #' generated by the following functions (cf. the appendix of #' \code{vignette(BMS)}): \cr \code{mprior.uniform.init}: creates a uniform #' model prior object.\cr \code{mprior.fixedt.init}: creates the popular #' binomial model prior object with common inclusion probabilities.\cr #' \code{mprior.randomt.init}: creates a beta-binomial model prior object.\cr #' \code{mprior.pip.init}: creates a binomial model prior object that allows #' for defining individual prior inclusion probabilities.\cr #' \code{mprior.customk.init}: creates a model prior object that allows for #' defining a custom prior for each model parameter size.\cr The following #' describes the necessary slots: #' @author Martin Feldkircher and Stefan Zeugner #' @seealso \code{\link{bms}} for creating \code{bma} objects. \cr Check the #' appendix of \code{vignette(BMS)} for a more detailed description of built-in #' priors.\cr Check \url{http://bms.zeugner.eu/custompriors.php} for examples. #' @keywords classes setClass('mprior') #' @importFrom stats density .flsresultlist =function(item=NULL) { if (is.null(item)) return(.flsresults) return(.flsresults[[item]]) }BMS/R/aux_inner.R0000644000176200001440000013361714270520135013221 0ustar liggesusers########################################### # This version: adjusted on 2011-05-05 # ########################################### # it includes all the auxiliary functions that should only be called INSIDE the bms function #START: SUBFUNCTIONS ################ .ols.terms2<-function(positions,yty,k=NULL,N=N,K=K,XtX.big=XtX.big,Xty.big=Xty.big,...){ # function calculates ols terms uhat'uhat ("ymy"), beta, (X'X)^-1,... # it's child function child.ymy and mutate are most used syminv <- function(symmat, ndim=ncol(symmat)) { #this does the same as chol2inv(chol.default(x)), but is stripped-down for speed purposes # Caution: symmat must always have length(symmat)>0!!! if (!is.matrix(symmat)) {symmat=as.matrix(symmat)} return( chol2inv(chol(symmat), size=ndim) ) } if(is.null(k)) k=length(positions) XtXinv.return=numeric(0) # if nullmodel if(sum(k)==0){ Xty=numeric(0);XtXinv=matrix(0,0,0);bhat=numeric(0);ymy=yty;positions=0; } else { XtX<-XtX.big[positions,positions,drop=FALSE] Xty<-Xty.big[positions] #do cholesky split: A=XtX=LL' #get lower triangular matrix from cholesky split XtXinv<-syminv(XtX,ndim=k) bhat<-crossprod(XtXinv,Xty); ymy<-yty-crossprod(Xty,bhat)[[1]] } return(list( full.results = function() { return(list(ymy=ymy, bhat=bhat, diag.inverse=XtXinv[1:k+0:(k-1)*k])) }, child.ymy = function(addix=0,dropix=0,...) { if (!any(as.logical(c(addix,dropix)))) {return(ymy)} if (all(as.logical(c(addix,dropix)))) { #swap jhere={1:k}[positions==dropix]; poshere=positions[-jhere];Xj=XtXinv[,jhere];Xtxi=XtX.big[poshere,addix] bxlessj=crossprod(XtXinv,XtX.big[positions,addix])-Xj*XtX.big[addix,dropix]; bhatx=bxlessj[-jhere]-Xj[-jhere]*bxlessj[jhere]/Xj[jhere] child.ymy = ymy+bhat[jhere]^2/Xj[jhere]-{Xty.big[addix]-crossprod(Xty.big[poshere],bhatx)[[1]]}^2/{XtX.big[addix,addix]-crossprod(bhatx,Xtxi)[[1]]} return(child.ymy) } else { if (addix==0) { #drop jhere={1:k}[positions==dropix] child.ymy=ymy+bhat[jhere]^2/XtXinv[jhere,jhere] return(child.ymy) } else { #add Xtxi=XtX.big[positions,addix] bhatx=crossprod(XtXinv,Xtxi)[,1] child.ymy = ymy - {Xty.big[addix]-crossprod(bhatx,Xty)[[1]]}^2 /{XtX.big[addix,addix]-crossprod(bhatx,Xtxi)[[1]]} return(child.ymy) } } }, mutate= function(addix=0,dropix=0,newpos=numeric(0),newk=0,...) { #return(ols.terms2(newpos,yty,length(k),N,K=K,XtX.big=XtX.big,Xty.big=Xty.big,...,return.inverse=F)) if (newk==0) { XtXinv<<-matrix(0,0,0); Xty<<-numeric(0) } else { # if (newk<7|dropix[[1]]*addix[[1]]!=0|length(c(dropix,addix))>2) { # if (newk<7|addix[[1]]!=0|length(c(dropix,addix))>2) { # Xty<<-Xty.big[newpos] XtXinv<<- syminv(XtX.big[newpos,newpos,drop=FALSE],ndim=newk) } else { if (dropix[1]>0) { jhere=sum(positions<=dropix) Xty<<-Xty[-jhere] Xj=XtXinv[,jhere]; XtXinv<<- {XtXinv-tcrossprod(Xj/Xj[jhere],Xj)}[-jhere,-jhere] } else { jhere=sum(positions=K)&(length(mpparam)==1)){ warning("Submitted prior model size is >= than the nr. of regressors\n, used K/2 instead\n\n") mpparam<-K/2 } # actual model prior m=mpparam[[1]] return(list( mp.mode="fixed", mp.msize=m, pmp=function(ki,...) { post.odds1=ki*log(m/K)+{K-ki}*log(1-m/K) return(post.odds1) }, mp.Kdist=stats::dbinom(x=0:K,size=K,prob=m/K,log=FALSE) )) } .mprior.randomt.init = function(K, mpparam, ...) { #model prior definition for beta-binmomial (random theta) model prior #user checks: if (is.na(mpparam[1])) mpparam<-K/2 if((mpparam[[1]]>=K)&(length(mpparam)==1)){ warning("Submitted prior model size is >= than the nr. of regressors\n, used K/2 instead\n\n") mpparam<-K/2 } # necessary initialization variables for speeding up sampling m=mpparam[[1]] vecofpriors=lgamma(1+0:K)+lgamma({K-m}/m+K-0:K) beta.bin=function(a=1,b=(K-m)/m,K=K,w=0:K){lgamma(a+b)-{lgamma(a)+lgamma(b)+lgamma(a+b+K)}+log(choose(K,w))+lgamma(a+w)+lgamma(b+K-w)} #actual mpinfo object return(list( mp.mode="random", mp.msize=m, pmp=function(ki,...) { return(vecofpriors[[ki+1]]) }, mp.Kdist=exp(beta.bin(a=1,b={K-m}/m,K=K,w=0:K)) )) } .getpolycoefs <- function(polyroots) { # helper function for mprior.pip.init #given the roots of a homogenous polynomial, # this function finds the polynomial coefficients (ordered from highest exponent term to constant) if (length(polyroots)==1) return(c(1,polyroots)) restterms=.getpolycoefs(polyroots[-1]) c(restterms,0)+c(0,polyroots[1]*restterms) } .mprior.pip.init = function(K,mpparam,...) { #defines model prior for custom prior inclusion probabilities if (any(is.na(mpparam))) mpparam=rep(.5,K); if (!is.numeric(mpparam)) stop("For prior inclusion probabilites, you need to provide a K vector with elements between 0 and 1 for argument 'mprior.size'.") mpparam=as.vector(mpparam) if (!((length(mpparam)==K)&all(mpparam>0)&all(mpparam<=1))) stop("For prior inclusion probabilites, you need to provide a K vector with elements between 0 and 1 for argument 'mprior.size'.") if (any(mpparam==1L)) warning("Prior Inclsuion Prob. = 1 are impractical. Try using the argument fixed.reg") inclfacts=log(mpparam/(1-mpparam)) return(list( mp.mode="pip", mp.msize=sum(mpparam), pmp=function(mdraw,...) { return(sum(inclfacts[as.logical(mdraw)])) }, mp.Kdist=.getpolycoefs(mpparam/{1-mpparam})*prod(1-mpparam) )) } .mprior.customk.init = function(K, mpparam, ...) { # defines model prior for custom size-based model priors if (any(is.na(mpparam))) mpparam=rep(.5,K); if (!is.numeric(mpparam)) stop("For custom model size priors, you need to provide a K+1 vector with positive elements for argument 'mprior.size'.") mpparam=as.vector(mpparam) if (!((length(mpparam)==(K+1))&all(mpparam>0))) { stop("For custom model size priors, you need to provide a K+1 vector with positive elements for argument 'mprior.size'.") } mpkvec=log(mpparam) return(list( mp.mode="custom", mp.msize=sum(choose(K,0:K)*mpparam*{0:K})/sum(choose(K,0:K)*mpparam), pmp=function(ki,...) { return(mpkvec[[ki+1]]) }, mp.Kdist=choose(K,0:K)*mpparam/sum(choose(K,0:K)*mpparam) )) } .fixedset.mprior = function(mprior.function,fullK,fixed.pos=numeric(0),K=NA,...) { #CAUTION: NO adjustment for mpparam yet! if (length(fixed.pos)==0) return(mprior.function(K=fullK,...)) fixed.pos={1:fullK}[fixed.pos] #to convert from possible binary vector flexpos={1:fullK}[-fixed.pos]; flexk=length(flexpos) mprior=mprior.function(K=flexk,...) fixk=length(fixed.pos) mpl=list( mp.mode=mprior$mp.mode, mp.msize=mprior$mp.msize+fixk, pmp=function(ki,mdraw,...) { return(mprior$pmp(ki=ki-fixk,mdraw=mdraw[flexpos])) }, mp.Kdist = c(numeric(fixk),mprior$mp.Kdist) ) return(mpl) } .choose.mprior <- function(mpmode,mpparam,K,...,fixed.pos=numeric(0)) { #this function fetches an mprior.info object # mpmode: corresponds to argument 'mprior' in function bms # mpmode determines one of 5 generic model prior classes: # uniform, fixed equal inclusion probs, random 'theta' equal inclusion probs, # custom model size priors and custom inclusion probs # but can also be a custom function or list such as the indivdual model prior definition functions # mpparam: corresponds to argument 'mprior.size' in function bms # K: the number of covariates # fixed.pos: the positions of the variables in X the need to be kept in any model origargs=list(mpmode=mpmode,mpparam=mpparam) #read input arguments fixed.pos={1:K}[fixed.pos]; fixed.exist=as.logical(length(fixed.pos)); fixk=length(fixed.pos) if (!( is.character(mpmode)|| is.function(mpmode) || is.list(mpmode))) stop("'mprior' parameter must be character! (or function/list)") #switch list: choose model prior - Caution: mpparam is adjusted for fixed.set variables if (is.function(mpmode) || is.list(mpmode)) { # custom model prior provided as function mpinfo=mpmode; } else if (any(grep("fix",mpmode,ignore.case=TRUE))) { #fixed theta prior mpinfo=.mprior.fixedt.init if (is.numeric(mpparam)) mpparam=mpparam[[1]]-fixk } else if (any(grep("unif",mpmode,ignore.case=TRUE))) { #uniform mpinfo=.mprior.uniform.init } else if (any(grep("custom",mpmode,ignore.case=TRUE))) { #custom model size prior mpinfo=.mprior.customk.init if (fixed.exist && is.numeric(mpparam)) if (length(mpparam)==K+1) mpparam=mpparam[(fixk+1):length(mpparam)] } else if (any(grep("pip",mpmode,ignore.case=TRUE))) { #prior inclusion probabilities mpinfo=.mprior.pip.init if (fixed.exist && is.numeric(mpparam)) if (length(mpparam)==K) mpparam=mpparam[-fixed.pos] } else { #random theta prior mpinfo=.mprior.randomt.init if (is.numeric(mpparam)) mpparam=mpparam[[1]]-fixk } if (is.function(mpinfo)) mpinfo=.fixedset.mprior(mpinfo,fullK=K,fixed.pos=fixed.pos,K=NA,mpparam=mpparam, mpmode=mpmode, ...) if (!all( c("mp.mode","mp.msize", "pmp") %in% names(mpinfo))) stop("The provided custom-built model prior is deficient.") if (!("origargs" %in% names(mpinfo))) mpinfo$origargs=origargs; if (length(fixed.pos)>0) mpinfo$fixed.pos=fixed.pos class(mpinfo) <- c("mprior", class(mpinfo)) return(mpinfo) } ## end: model priors .starter=function(K,start.value,y,N=N,XtX.big=XtX.big,Xty.big=Xty.big,X=X,fixed.pos=numeric(0)){ #"starter" draws random start vector of size start.value, and keeps those regressors with a t-stat>0.2 # in case user submitted a single number as start.value # we randomly draw a model with start.value regressors # finally only regressors with t-stats>0.2 are kept and build the starting model #some input checks if (is.na(start.value[1])) {start.value=min((N-3),K)} if (any(start.value<0)|!(is.numeric(start.value)|is.logical(start.value))) { start.value=min((N-3),K) warning("Argument 'start.value' did not conform to required format. start.value has been changed to default - min(N-3,K)") } if (length(start.value)==0) {start.value=numeric(K)} if (length(start.value)==1) {if (start.value==0) {start.value=numeric(K)}} if (length(start.value)>1 && any(start.value>1)) {sv=numeric(K); sv[start.value]=1; start.value=sv; rm(sv) } if(length(start.value)==1){ if (start.value>min((N-3),K)){ cat("Submitted Start value is too large, used\n min(N-3,K) as starting model size instead\n\n") start.value=min((N-3),K) } # draw randomly sorter=stats::runif(K) start.position=order(sorter,seq(1:K))[1:start.value] # calculate bhats and t-stats XtX.start<-XtX.big[start.position,start.position] XtXinv.start<-chol2inv(chol(XtX.start)) bhat=XtXinv.start%*%Xty.big[start.position] e=y-X[,start.position]%*%bhat sse=crossprod(e) s2=as.numeric(sse/(N-length(start.position))) bcov=s2*XtXinv.start bt=bhat/sqrt(diag(bcov)) # choose only regressors with t-stat>0.2 molddraw=rep(0,K) goodguy=as.numeric(abs(bt)>.2) molddraw[start.position]=goodguy start.position = (1:K)[as.logical(molddraw)] outstart=list(molddraw=molddraw,bhat=bhat,start.position=start.position) } # else we start with the user specified starting model # in this case we do not test whether the t-stat's are greater than 0.2 # but start with exactly the selected model no matter whether it is a # good starting model or not # in case you want to start with the null model if(length(start.value)>1 && sum(start.value)==0){ outstart=list(molddraw=rep(0,K),bhat=rep(0,K),start.position=integer(0)) } if(length(start.value)>1 && sum(start.value)>0){ if(length(start.value)!=K){ # in case user specified a too big model stop("Starting Model contains unequal to K regressors,please respecify") } start.position=which(as.logical(start.value)) XtX.start<-XtX.big[start.position,start.position] XtXinv.start<-chol2inv(chol(XtX.start)) bhat=XtXinv.start%*%Xty.big[start.position] molddraw=rep(0,K); molddraw[start.position]=1 outstart=list(molddraw=molddraw,bhat=bhat,start.position=start.position) } fixed.pos=(1:K)[fixed.pos] if (length(fixed.pos)>0) { outstart$molddraw[fixed.pos]=1 outstart$start.position = (1:K)[as.logical(outstart$molddraw)] } return(outstart) } ########################################################################################################################### #Sample Functions ############################################################################################################################ #First, we have implemented the original FLS Sample Function; here a variable is drawn from the set of # K regressors, then #conditional on whether it is included in the current model it can be discarded or added. .fls.samp=function(molddraw=molddraw,K=K,...,maxk=Inf,oldk=0){ # the original FLS Sample Function; here a variable is drawn from the set of K regressors, then #conditional on whether it is included in the current model it can be discarded or added. indch<-ceiling(stats::runif(1,0,K)) #rounding to the smallest integer part by floor, uniform distr. [0,1] bdropit<-as.logical(molddraw[[indch]]); if (oldk==maxk) if (!bdropit) {indch=(1:K)[molddraw==1][[ceiling(stats::runif(1,0,sum(molddraw)))]]; bdropit=molddraw[[indch]]} if (bdropit){ #dropping addvar<-0;dropvar<-indch; molddraw[[indch]]<-0 } else { #adding addvar<-indch;dropvar<-0; molddraw[[indch]]<-1 } # addvar<-(!bdropit)*indch; dropvar<-bdropit*indch; # molddraw[[indch]]<- !bdropit positionnew <- {1:K}[molddraw==1] return(list(mnewdraw=molddraw,positionnew=positionnew,addi=addvar,dropi=dropvar)) } ############################################################################################################################# #Second, a reversible jump algorithm, where we #have added a move step. See below ############################################################################################################################## #Reversible Jump Algorithm .rev.jump=function(molddraw=molddraw,K=K,...,maxk=Inf,oldk=0){ #Reversible Jump Algorithm: with equal prob decides between swap step or add/drop step (.fls.samp) rev.idx=ceiling(stats::runif(1,0,2)) #rev.idx is a flag that indicates the three possible steps of #the reversible jump algorithm, 1=birth or death and 2=move. # Perform Death, Birth or Move Step # if rev.idx is 1, do the same as in fls sampler (i.e. increase or decrease depending # on variables already included in the model if(rev.idx==1){ birth.death=.fls.samp(molddraw=molddraw,K=K,maxk=maxk,oldk=oldk) mnewdraw=birth.death[["mnewdraw"]] positionnew=birth.death[["positionnew"]] addvar=birth.death[["addi"]]; dropvar=birth.death[["dropi"]] } #move step if(rev.idx==2){ var.in=(1:K)[as.logical(molddraw)] #positions of the variables that are currently in the model var.out=(1:K)[!as.logical(molddraw)] #positions of the variables that are currently out of the model var.in.rand=ceiling(length(var.in)*stats::runif(1,0,1)); addvar=var.out[ceiling(length(var.out)*stats::runif(1,0,1))] dropvar=var.in[var.in.rand] mnewdraw=molddraw; mnewdraw[addvar]=1; mnewdraw[dropvar]=0; positionnew=(1:K)[as.logical(mnewdraw)] dropvar=max(dropvar,0); addvar=max(addvar,0) # in case one of the indexes is integer(0) (borderline case) } return(list(mnewdraw=mnewdraw,positionnew=positionnew,addi=addvar,dropi=dropvar)) } ############################################################################################################################# #Third, there is a 'contiguity enumeration' sampler, that enumerates all possible combinations of models. #In particular it moves between continguous models (without repeating itself). i.e. there is always only an "add" or "drop" opration in the move to the next model. ############################################################################################################################## .iterenum <- function(molddraw=numeric(0),K=length(molddraw),...) { #Contiguity Enumeration Sampler # takes a binary vector (like molddraw) and iterates it such that it performs 'contiguity enumeration', # i.e. enumerating all possible combinations by always changing only one entry in molddraw even.lead1={1:K}[!{cumsum(molddraw)%%2}]; i=even.lead1[length(even.lead1)] # i ist the last entry where the number of 1's up to entry i is even: molddraw[i]=!molddraw[i]; # then change entry i (either T->F or F->T) addi=molddraw[i]*i;dropi={!molddraw[i]}*i; #indch=i return(list(mnewdraw=molddraw,positionnew={1:K}[as.logical(molddraw)],addi=addi,dropi=dropi)) } ##### Enumeration in case K>N-2 ###################### .iterenum.bone = function(molddraw=numeric(0),maxk=Inf) { # an auxiliary function for iterenum.KgtN even.lead1=((1:length(molddraw))[!(cumsum(molddraw)%%2)]); i=even.lead1[length(even.lead1)] # i ist the last entry where the number of 1's up to entry i is even: molddraw[i]=!molddraw[i]; # then change entry i (either T->F or F->T) if (sum(molddraw)>maxk) return(.iterenum.bone(molddraw,maxk)) else return(molddraw) } .iterenum.KgtN <- function(molddraw=numeric(0),maxk=Inf,oldk=0,...) { #iterenum.KgtN is slightly slower than iterenum and itererates only through models with kmnewdraw]; if (length(dropi)==0) dropi=0 return(list(mnewdraw=mnewdraw,positionnew=(1:length(mnewdraw))[as.logical(mnewdraw)],addi=addi,dropi=dropi)) } ##### ############ #get the enumeration sampler vector for a certain iteration index .enum_fromindex <- function(lindex){ #lindex: an integer index; this function returns a logical vector that corresponds to the enumeration sampler draw for this index (without leading zeros) lindex=lindex[[1]] if (lindex==0) return(FALSE) log2=ceiling(log(lindex+1,2)) return( as.logical((lindex+2^((log2-1):0))%/%(2^(log2:1))%% 2)) } .enum_startend = function(iter=NA,start.value=0,K=1,maxk=K, fixed.pos=numeric(0)) { #does user checks and returns the starting model for enumeration and the number of iterations # in its most basic version, it returns list(numeric(K), 2^K-1) # however, it also adjusts for N-30) flexpos={1:K}[-fixed.pos] start.value2=0 if (length(start.value)==1) { start.value2=suppressWarnings(as.integer(start.value)) if (any(is.na(start.value2))|start.value2[[1]]<0|start.value2[[1]]>=(2^effk-1)) { start.value=0;start.value2=0 } } else { start.value=0 } if (length(start.value)==1) { #if startvalue is an integer index satysfying above conditions then convert it into a 'draw' to start from start.value_cut=.enum_fromindex(start.value2) start.value=rep(1,K) start.value[flexpos]=c(numeric(effk-length(start.value_cut)),start.value_cut) } # do all the other enumeration stuff if (K>maxk) {lastindex=2^effk-1-sum(choose(effk,(maxk+1):effk))} else lastindex=2^effk-1 if (is.na(iter)) {iter=lastindex-start.value2} #default iter is the rest to complete the enumeration from start.value iter=min(iter,2^effk-1-start.value2); # don't do too much! return(list(start.value=start.value, iter=iter)) } .fixedset.sampler = function(sampler.function, fullK, fixed.pos=numeric(0),...) { #converts any model sampler function into one that retains fixed variables defined in fixed.pos if (length(fixed.pos)==0) return(sampler.function) #initialize fixed.pos={1:fullK}[fixed.pos] #to convert from possible binary vector flexpos={1:fullK}[-fixed.pos]; flexk=length(flexpos) outdraw=rep(1,fullK) #now create a 'stoepsler' function that plugs in the draw of flexible varaibles into the entire set outfun = function(molddraw=molddraw,K=flexk,...) { flexdraw=sampler.function(molddraw=molddraw[flexpos],K=flexk,...) outdraw[flexpos]=flexdraw[["mnewdraw"]] addi=flexdraw[["addi"]]; dropi=flexdraw[["dropi"]]; #indch= flexpos[flexdraw[["indch"]]]; #is this really necessary? if (is.numeric(addi)||is.numeric(dropi)) { if (addi>0) addi= flexpos[addi] else addi=0 if (dropi>0) dropi= flexpos[dropi] else dropi=0 } return(list(mnewdraw=outdraw,positionnew={1:fullK}[as.logical(outdraw)],addi=addi,dropi=dropi)) } return(outfun) } ########################################################################################################################### #SAMPLERS WITH INTERACTION TERMS ############################################################################################################################ #initialization .constr.intmat = function(X,K) { #this function identifies the columns of X named with multiple terms (sep'd by "?") as interactions #and constructs a matrix whose rows identify the base terms corresponding to each interaction term intix=grep("#",colnames(X),fixed=TRUE) # indices of columsn with interaction terms mPlus=diag(K) colnames(mPlus)<-colnames(X) for (jj in 1:length(intix)) { cix= intix[jj] mPlus[cix,unlist(strsplit(colnames(mPlus)[cix],"#",fixed=TRUE))]=1 # put a one in row (interaction term) and columns (all base terms) } return(mPlus) } #First, we have implemented the original FLS Sample Function; here a variable is drawn from the set of # K regressors, then #conditional on whether it is included in the current model it can be discarded or added. .fls.samp.int=function(molddraw=molddraw,K=K,mPlus=mPlus,maxk=Inf,oldk=0){ #interactions sampler for .fls.samp indch=ceiling(stats::runif(1,0,1)*K) #rounding to the smallest integer part by floor, uniform distr. [0,1] # have to make sure that we delete all the regressors if (molddraw[indch]==1){ #dropping mnewdraw=as.numeric(molddraw>mPlus[,indch]) dropvar = (1:K)[xor(molddraw,mnewdraw)]; addvar=0; } else{ #adding mnewdraw=as.numeric(molddraw|mPlus[indch,]) addvar = (1:K)[xor(molddraw,mnewdraw)]; dropvar=0; } positionnew=which(mnewdraw==1) if (length(positionnew)>maxk) { return(.fls.samp.int(molddraw=molddraw,K=K,mPlus=mPlus,maxk,oldk)) } else { return(list(mnewdraw=mnewdraw,positionnew=positionnew,addi=addvar,dropi=dropvar)) } } ############################################################################################################################# #Second, we have implemented a reversible jump algorithm, where we #have added a move step. See below ############################################################################################################################## #Reversible Jump Algorithm .rev.jump.int=function(molddraw=molddraw,K=K,mPlus=mPlus,maxk=Inf,oldk=0){ #interactions sampler for .rev.jump rev.idx=floor(stats::runif(1,0,1)*2) #rev.idx is a flag that indicates the three possible steps of #the reversible jump algorithm, 1=birth or death and 2=move. # Perform Death, Birth or Move Step # if rev.idx is 1, do the same as in fls sampler (i.e. increase or decrease depending # on variables already included in the model if((rev.idx)|oldk==0){ birth.death=.fls.samp.int(molddraw=molddraw,K=K,mPlus=mPlus,maxk,oldk) mnewdraw=birth.death$mnewdraw positionnew=birth.death$positionnew addvar=birth.death$addi; dropvar=birth.death$dropi } else { var.in=(1:K)[as.logical(molddraw)] #positions of the variables that are currently in the model var.out=(1:K)[!as.logical(molddraw)] #positions of the variables that are currently out of the model mnewdraw=(molddraw>mPlus[,var.in[ceiling(length(var.in)*stats::runif(1,0,1))]]) mnewdraw=mnewdraw|mPlus[var.out[ceiling(length(var.out)*stats::runif(1,0,1))],] positionnew=(1:K)[mnewdraw] addvar = (1:K)[molddrawmnewdraw]; if (length(dropvar)==0) dropvar=0; if (length(addvar)==0) addvar=0 } #return(list(mnewdraw=as.numeric(mnewdraw),positionnew=positionnew,addi=addvar,dropi=dropvar,indch=rev.idx)) if (length(positionnew)>maxk) { return(.rev.jump.int(molddraw=molddraw,K=K,mPlus=mPlus,maxk,oldk)) } else { return(list(mnewdraw=as.numeric(mnewdraw),positionnew=positionnew,addi=addvar,dropi=dropvar)) } } .post.calc <- function(gprior.info,add.otherstats,k.vec,null.count,X.data,topmods,b1mo,b2mo,iter,burn,inccount,models.visited,K,N,msize,timed,cumsumweights=NA,mcmc="bd",possign=NA) { #customized function for posterior results from bms postad.k.vec <- function(k.vec, null.count) c(null.count,k.vec) #concatenates the vector of freqencies for 1:K model sizes with freq for null model postad.gprior.info <- function(gprior.info,add.otherstats=numeric(0),cumsumweights=1) { # adjusts the gprior.info object resulting from choose.gprior(): # add.otherstats: vector, cumsumweights: scalar by which otherstats are to be divided (typically nb of draws 'iter') if (gprior.info$return.g.stats) { if (length(add.otherstats)>0) { gprior.info$shrinkage.moments=add.otherstats/cumsumweights } else { gprior.info$shrinkage.moments=1/(1+1/gprior.info$g) } } return(gprior.info) } postad.reg.names <- function(X.data) { # extracts the column names of covariates or constructs ones: X.data is data.frame xdcn=colnames(X.data) if(is.null(xdcn)) {xdcn<- rep("",NCOL(X.data))} if(anyNA(xdcn)) {xdcn[is.na(xdcn)]<- rep("",NCOL(X.data))[is.na(xdcn)]} if(any(trimws(xdcn)=='')) {xdcn[trimws(xdcn)=='']<-paste0("Vbl",0:K)[trimws(xdcn)==''] } reg.names=xdcn[-1] return(reg.names) } gprior.info=postad.gprior.info(gprior.info,add.otherstats,cumsumweights) k.vec = postad.k.vec(k.vec,null.count) #if (is.na(cumsumweights)) cumsumweights=iter cons=.post.constant(X.data,b1mo/cumsumweights) pmp.10=pmp.bma(topmods,oldstyle=TRUE) if (nrow(pmp.10)==1|suppressWarnings(length(grep("error",class(try(cor(pmp.10[,1],pmp.10[,2]),silent=TRUE)))))) { corr.pmp=NA } else { if (var(pmp.10[,2])==0) corr.pmp=NA else corr.pmp=cor(pmp.10[,1],pmp.10[,2]) } if (is.na(possign[[1]])) possign=numeric(K) info.object=list(iter=iter,burn=burn,inccount=inccount,models.visited=models.visited,b1mo=b1mo,b2mo=b2mo, add.otherstats=add.otherstats,cumsumweights=cumsumweights,K=K,N=N,corr.pmp=corr.pmp,msize=msize,timed=timed,k.vec=k.vec,cons=cons,pos.sign=possign) reg.names=postad.reg.names(X.data) return(list(info=info.object,k.vec=k.vec,cons=cons,gprior.info=gprior.info,pmp.10=pmp.10,reg.names=reg.names)) } ################ g prior functions ######################################### # a gprior object is a list, or a function that returns that list # such a gprior object can be passed to bms (cf example below) # # EXAMPLE: a simple constant g prior list is returned by the following function: # # simpleg <- function(g=NA,N=100,K=2,yty=1,...,myg=NULL) { # # bms/zlm calls this function with the following arguments: g, N (nb obs), K (nb of total variables), yty (TSS), null.lik (usually NA) and return.g.stats (same as bms argument g.stats), y and X # # additional arguments may be used by providing bms with the output of this function, rather than the function itself # if (is.null(myg)) myg=10 #stuff to be valid for all evaluations of the sub-functions below # # gprior.info=list( #general information for ppost-processing # gtype = "wappler-g", # a name for the g prior sub-type # is.constant = TRUE, # whether g is a predifined scalar, or changes with models (important for post-processing) # g=myg, #a scalar - only necessary if is.constant==TRUE # return.g.stats = FALSE # whether g-statistics should be collected; TRUE possible in principle, but mor bug-prone # ) # # # the actual gprior-computation routines are in a sub-element of the gprior object - note that myg was defined upfront # gprior.info$lprobcalc = list( # just.loglik = function(ymy, k, ...) { # #for speed reasons, this function is used when evaluationg the liklihood of a candiade model in bms # return(.5*{ (N-1-k)*log(1+myg)-(N-1)*log(myg*ymy + yty) } ) #the (scalar) log-likelihood of the model # }, # lprob.all=function(ymy,k,bhat,diag.inverse,...) { # return(list( # lprob=.5*{ (N-1-k)*log(1+myg) - (N-1)*log(myg*ymy + yty)}, # log-likelihood # b1new = myg/(1+myg)*bhat, # the posterior expected coefficents # b2new ={(yty/myg+ymy) * (myg/(1+myg))^2 /(N-3)}*diag.inverse + (myg/(1+myg)*bhat)^2, #second posteriro moment of the coefficients # otherstats=numeric(0) #addtional stats to be counted when return.g.stats==TRUE # )) # } # ) # # return(gprior.info) # } # bms(attitude,g=simpleg) # zlm(attitude,g=simpleg) # bms(attitude,g=simpleg(myg=20,N=nrow(attitude),K=ncol(attitude)-1,yty=var(attitude[,1])*(nrow(attitude)-1))) .gprior.constg.init <- function(g=NA,return.g.stats=TRUE,N=N,K=K,yty=1,null.lik=NA,...) { gg=NULL if (!(is.character(g)||is.numeric(g))) g="UIP" if (any(grep("BRIC",g,ignore.case=TRUE))|any(grep("FLS",g,ignore.case=TRUE))) { if (N<=(K^2)){gg=(K^2)} else { gg=N } gtype="BRIC" } if (any(grep("RIC",g,ignore.case=TRUE))&& (!any(grep("BRIC",g,ignore.case=TRUE)))) { gg=(K^2) gtype="RIC" } if (any(grep("HQ",g,ignore.case=TRUE))|any(grep("Hannan",g,ignore.case=TRUE))) { gg=(log(N))^3 gtype="Hannan-Quinn" } if(is.numeric(g)){ gg=g gtype="numeric" } if (is.null(gg)) { if (!(any(grep("UIP",g,ignore.case=TRUE))|any(grep("BIC",g,ignore.case=TRUE)))) warning("The provided g prior could not be identified. Therefore the default g prior (UIP) has been selected.") gg=N gtype="UIP" } gprior.info=list(gtype=gtype, is.constant=TRUE, return.g.stats=return.g.stats, shrinkage.moments=gg/(gg+1), g=gg) g=gg if (!is.numeric(null.lik)) { null.lik={1-N}/2*log(yty) } g2=g/{g+1}; l1g=log(1+g) ; g2sq=g2^2; n1=N-1 gprior.info$lprobcalc <- list( #estimates the standard posterior stats under a cfixed g-prior #lprob.constg.init is called only once: it calculates constant terms to reduce redundancy #each lprob..init function has the two subfunctions: # * just.loglik: this just calculates the log likelihood from given terms - as the sampler mostly needs just that # * lprob.all: this calculates the log lik, as well as b1new (E(beta|Y) the expected value (normal-gamma) of coefficients), and b2new (the Expected value of coefficents squared E(beta^2|Y)= Var(beta|Y)+E(beta|Y)^2) #function(ymy, k) { gg=N; l1g=log(1+gg); n1=N-1; g2=g0/(1+g0); .5*{-k*l1g - n1*log(1-g2*(1-ymy/yty))} } -n1 just.loglik=function(ymy,k,...) { return(.5*{{n1-k}*l1g-n1*log(g*ymy + yty)}) }, lprob.all=function(ymy,k,bhat,diag.inverse,...) { b1new = g2*bhat return(list(lprob=.5*{{n1-k}*l1g-n1*log(g*ymy + yty)},b1new = b1new,b2new ={{yty/g+ymy}*g2sq/{N-3}}*diag.inverse+b1new^2,otherstats=numeric(0))) } ) class(gprior.info) <- c("gprior",class(gprior.info)) return(gprior.info) } .gprior.eblocal.init <- function(g=NA,return.g.stats=TRUE,N=N,K=K,yty=1,null.lik=NA,...) { gprior.info=list(gtype="EBL", is.constant=FALSE, return.g.stats=return.g.stats, shrinkage.moments=numeric(1), g=NA) if (!is.numeric(null.lik)) { null.lik=(1-N)/2*log(yty) } ymy.current=-1; k.current=-1; loglik=null.lik; Fstat=numeric(0); g2=0 if (return.g.stats) { otherstats=numeric(1) } else { otherstats=numeric(0) } gprior.info$lprobcalc <- list( # estimates the local Empirical Bayes g prior as given in Liang et al (2008): "Mixtures of g Priors for Bayesian Variable Selection"; JASA #lprob.eblocal.init is called only once: it initializes an object that links just.loglik and lprob.all #each lprob..init function has the two subfunctions: # * just.loglik: this just calculates the log likelihood from given terms - as the sampler mostly needs just that # * lprob.all: this calculates the log lik, as well as b1new (E(beta|Y) the expected value (normal-gamma) of coefficients), and b2new (the Expected value of coefficents squared E(beta^2|Y)= Var(beta|Y)+E(beta|Y)^2) # if at initalization return.g.stats=TRUE, then it additionally returns the estimated value of the shrinkage factor g2 just.loglik=function(ymy,k,...) { ymy.current<<-ymy; k.current<<- k; if (k==0) { return(null.lik) } Fstat<<-(N-k-1)/k*(yty-ymy)/ymy if (Fstat>1) { #g0=1/max(Fstat-1,0) g0<-1/(Fstat-1); g2<<-1/(g0+1) # g0 corresponds to 1/g } else { g2<<-0; return(null.lik) } lFstat=log(Fstat); lg02=-lFstat; #Note that: g2=1-1/F, lg02=log(g0*g2)=log(1/Fstat), loglik=.5* (-k*log(Fstat)-(N-1)*log(ymy+(1/Fstat-1)*yty)-(N-1)*(log(F-1)-log(Fstat)) loglik<<-.5*{k*lg02-{N-1}*{log(ymy + g0*yty) + {log(Fstat-1)-lFstat }}} return(loglik) }, lprob.all=function(ymy,k,bhat,diag.inverse,...) { if (k==0) { return(list(lprob=null.lik, b1new=numeric(0), b2new=numeric(0),otherstats=otherstats)) } if ((ymy!=ymy.current)|(k!=k.current)) { #if just.loglik was already called just before with the same parameters, no need to calculate the F-stat stuff again Fstat<<- {N-k-1}/k*(yty-ymy)/ymy if (Fstat>1) { g0=1/{Fstat-1}; g2<<-1/(g0+1) lFstat=log(Fstat); lg02=-lFstat; loglik<<-.5*{k*lg02-{N-1}*{log(ymy + g0*yty) + {log(Fstat-1)-lFstat }}} } else { g0=0; g2<<-0; loglik<<-null.lik } } if (return.g.stats) { otherstats=g2 } b1new = g2*bhat if (g2>0) { b2new ={{(1/g2-1)*yty+ymy}*{g2^2}/{N-3}}*diag.inverse+b1new^2 } else {b2new = numeric(k)} return(list(lprob=loglik,b1new = b1new,b2new=b2new,otherstats=otherstats)) } ) class(gprior.info) <- c("gprior",class(gprior.info)) return(gprior.info) } .gprior.hyperg.init <- function(g=NA,return.g.stats=TRUE,N=N,K=K,yty=1,null.lik=NA,...) { #user checks if (!is.character(g)) g="hyper" if (any(grep("=",g))) { f21a=suppressWarnings(as.numeric(unlist(strsplit(g,"="))[2])) if (!is.numeric(f21a)|is.na(f21a)) { f21a.char=suppressWarnings(as.character(unlist(strsplit(g,"="))[2])) if (any(grep("bric",f21a.char,ignore.case=TRUE))) { f21a=2+2/max(N,K^2) } else if (any(grep("uip",f21a.char,ignore.case=TRUE))) { f21a=2+2/N } else { warning("You did not supply a proper 'a' parameter for the hyper g prior (like e.g. the format g='hyperg=3.1' or g='hyper=UIP') - thus set to default value 'hyper=UIP' instead.") f21a=2+2/N } } else { if (f21a<=2|f21a>4) { f21a=2+2/N warning("You provided an 'a' parameter for the hyper g prior that is not element of (2,4]. I chose the default value 'hyper=UIP' instead.") } } } else { f21a=2+2/N } gprior.info=list(gtype="hyper", is.constant=FALSE, return.g.stats=return.g.stats, shrinkage.moments=numeric(2),g=NA, hyper.parameter=f21a) #estimates the hyper g prior as given in Liang et al (2008): "Mixtures of g Priors for Bayesian Variable Selection"; JASA #initializing an object that links just.loglik and lprob.all # argument f21a corresponds to the hyper-parameter "a" in Liang et al. (2008): any value in ]2,4], default 3 #each lprob..init function has the two subfunctions: # * just.loglik: this just calculates the log likelihood from given terms - as the sampler mostly needs just that # * lprob.all: this calculates the log lik, as well as b1new (E(beta|Y) the expected value (normal-gamma) of coefficients), and b2new (the Expected value of coefficents squared E(beta^2|Y)= Var(beta|Y)+E(beta|Y)^2) #initalizing global values if (!is.numeric(null.lik)) { null.lik={1-N}/2*log(yty) } gmoments=numeric(2) N12={N-1}/2; la2=log(f21a-2) log.lik = null.lik; ymy.current=-1; k.current=-1; intconstinv=f21a-2; #intconstinv is the inverse of 1/(a-2) times the integration constant, i.e. (k+a-2)/ 2F1( (N-1)/2,1, (k+a)/2, R^2 ) #initalizing the 2F1 hypergeometric function object f21o=.f21_4hyperg(N,K,f21a) gprior.info$lprobcalc <- list( just.loglik=function(ymy,k,...) { if (k==0) {return(null.lik)} ymy.current <<- ymy; k.current <<- k intconstinv <<- {k+f21a-2}/f21o[["calcit"]](1-ymy/yty,k) if (intconstinv<0) {intconstinv <<- k+f21a-2} #this may happen because of numerical inaccuracies: e.g. ymy marginally greater than yty log.lik <<- null.lik + la2 - log(intconstinv) return(log.lik) }, lprob.all=function(ymy,k,bhat,diag.inverse,...) { if (k==0) {return(list(lprob=null.lik,b1new=numeric(0), b2new=numeric(0),otherstats=c(2/f21a,8/f21a/(f21a+2))))} N3=N-3; ka2=k+f21a-2; R2=1-ymy/yty; #collect terms if ((ymy!=ymy.current)|(k!=k.current)) { #if just.loglik was already called just before with the same parameters, no need to calculate the F-stat stuff again intconstinv <<- ka2/f21o[["calcit"]](R2,k) log.lik <<- null.lik + la2 - log(intconstinv) } g2hyper= {intconstinv-ka2+N3*R2}/{R2*{N3-ka2}} # E(g/(1+g)|Y) gbetavar = {{1+2/N3*R2/{1-R2}}*intconstinv+{N3-2}*R2-ka2} *N3*{1-R2}/{N3-ka2}/{N3-ka2-2}/R2 * yty/N3*diag.inverse #Cov(beta|Y) if (return.g.stats) { ka=ka2+2; Eg22= { {{N3-2}*R2-ka}*intconstinv + {N3*R2-ka2}^2-2*{N3*R2^2-ka2} }/R2^2/{N3-ka2}/{N3-ka} gmoments=c(g2hyper,Eg22) } return(list(lprob=log.lik, b1new = g2hyper*bhat ,b2new =gbetavar+g2hyper^2*bhat^2, otherstats=gmoments)) } ) class(gprior.info) <- c("gprior",class(gprior.info)) return(gprior.info) } ### used for gprior.hyperg.init ##### .f21_4hyperg=function(N,K,f21a,ltermbounds=c(200,600,1400,3000)) { # this function calculates the value of a Gaussian hypergeometric function 2F1((N-1)/2,1,(f21a+k)/2,z) # as given in Liang et al (2008): "Mixtures of g Priors for Bayesian Variable Selection"; JASA, formula (18) # first initialize the object by calling myobject = .f21_4hyoperg() : this calcs recycable terms to reduce redundancy # # then evaluate by myobject$calcit(z,k) #Initialization: create.lterms=function(cc) lapply(as.list(ltermbounds),function(x) (a+0:x)/(cc+0:x)) # a subfunction a=(N-1)/2; cv=(f21a+0:K)/2 #create the a and c terms for the (K+1) different model sizes lterms=(lapply(cv,create.lterms)) #create the Pochhammer terms in vectors of different lengths, lterms is a list: each element has a list of which each element contains Pochhammer terms up to the index specified in ltermbounds (see function argument) ltermbounds=c(0,ltermbounds[-length(ltermbounds)]) #this is just used for deciding which vector length to take return(list( calcit=function(z,k) { # this function actually calculates 2F1((N-1)/2,1,(f21a+k)/2,z) in its power series formulation nbterms=sum(ceiling(abs({a-cv[k+1]}/{1-z})*1.5)>=ltermbounds) # l=(a-c)/(1-z) is the index from which on the summands decline # this times 1.5 decides which lvector length (lbounds) to take return(sum(cumprod(z*lterms[[k+1]][[nbterms]]))+1) #calculate it } )) } .f21simple=function(a,c,z) { # this function calculates the value of the Gaussian hypergeometric function 2F1(a,1,c,z), where 0==0: is the number of burn-in draws, default 1000 (not taken into account if mcmc="enumerate") #iter integer >=0: is the number of posterior draws, default 3000 (not taken into account if mcmc="enumerate"); # if mcmc="enumerate", then iter is the number of models to be sampled, starting from 0 (default 2^K-1) - cf. start.value #nmodel integer >=0: is the number of best models for which information is stored. Convergence analysis of # the sampler by means of the correlation between analytic posterior model probabilities # (pmp's) and hat of the MCMC sampler is based on the number you have set in nmodels. Also # if you want to save the regression coefficients (beta.save=T), they are taken from the # nmodel best models. Setting nmodel500 slows down the MCMC sampler. Note that posterior # inclusion probabilites, and mean calculations are based on the MCMC frequencies as opposed # to exact analytical calculations (as in Fernandez, Ley and Steel). # Set nmodel=0 to speed up sampling (if topmodel information is not needed) #mcmc character: * MC3 samplers: default is "bd" which corresponds to a birth / death MCMC alogrithm. You can choose # also "rev.jump" where we have implemented a true reversible jump algorithm adding a "move" step to the birth / death steps from "bd". # * enumeraton sampler: moreover there is mcmc="enumerate"/"enum" which will enumerate all possible regressor combinations (not advisable for K>23) # * interaction sampler: adding an ".int" to an MC3 sampler (e.g. "mcmc="bd.int") does an interaction sampler # interaction terms will only be sampled along with their component variables, in the colnumn names of X.data interaction terms need to be # denominated by names consisting of the base terms separated by "#" (e.g. an interaction term of base variables "A", "B" and "C" needs column name "A#B#C") #g character or integer: is the hyperparameter on Zellner's g-prior for the regression coefficients. You can specify g="UIP", corresponding to g=N (default) # g="bric" corresponding to the benchmark prior suggestion from FLS (2001), i.e g=max(N, K^2) # with K denoting the total number of regressors and N the number of observations, g="EBL" estimates a # local empirical Bayes g-parameter (as in Liang et a. (2008), JASA). g="hyper", takes the 'hyper-g' # prior distribution (As in Liang et al.) with the default hyper-parameter a=3; This hyperparameter can # be adjusted (between 20.2. # The default value start.value=NA corresponds to start.value=min(nrow(X)-2,ncol(X),nrow(X)-3) # start.value=0 or start.value=NULL starts from the null model # * if mcmc="enumerate" then start.value is the index to start the iteration (default=0) . Any number between 0 and K^2-1 is admissible #g.stats TRUE or FALSE whether statistics on the shrinkage factor should be collected. default=TRUE # set g.stats=FALSE for faster iteration #logfile setting logfile=TRUE produces a logfile named "test.log" in your current working directory, # in order to keep track of the sampling procedure. # setting logfile equal to some filepath (like logfile="subfolder/bla.txt") puts the logfile # into that specified position. (default: logfile=FALSE) # Note that logfile="" implies log printouts on the console #logstep specifies at which number of posterior draws information is written to the log file; default: 100 000 iterations #force.full.ols default FALSE. If force.full.ols=TRUE, the ols estimation part of the sampling procedure relies on slower matrix inversion, # instead of streamlined routines. force.full.ols=TRUE can slow down sampling but may deal better with highly collinear data #beta.save obsolete #int obsolete, see "mcmc" #exact obsolete: see estimates.bma() #ask.set obsolete, with no replacement #printRes obsolete; see user.int #return.g.stats renamed intop 'g.stats' #theta renamed into 'mprior' #prior.msize renamed into 'mprior.size' # ################ # OUTPUT # ################################################################################################### # A call to bms returns a list/"bma" object with the following elements: #info a list containing some posterior statistics. it has the following elements # iter (numeric(1)) The number of iteration runs in the sampler (without burn-ins) # burn (numeric(1)) The number of burn-in iterations # inccount (numeric(K)) The (weighted) cumulative sum of the binary vector with regressor inclusions # models.visited (numeric(1)) the number of model candidates that have been accepted (including burn-ins) # b1mo ((numeric(K)) the (weighted) cumulative sum of first posterior moment of beta: Sum p(M)E(beta|X,y,M) # b2mo ((numeric(K)) the (weighted) cumulative sum of second posterior moment of beta: Sum p(M)E(beta^2|X,y,M) # add.otherstats (numeric(0 or some integer)) cumulative sum of some additional statistics (such as posterior moments of g) # cumsumweights (numeric(1)) the denominator to turn cumulative sums into (weighted) averages # K (numeric(1)) number of covariates in X.data # N (numeric(1)) number of observations in X.data # corr.pmp (numeric(1)) correlation between analytical and MCMC frequencies for the best nmodel models; if mcmc="enum", then this is NA # msize (numeric(1)) the cumulative sum of model sizes # timed (difftime) time taken for the main sampling routine in seconds # k.vec (numeric(K+1)) cumulative sum of the different model siyes, from zero to K # cons (numeric(1)) scalar value of E(constant|X,y), same as BMAOBJECT$cons # pos.sign (numeric(K)) cumulative sum of the coefficients>0, from 1 to K # arguments named list with the all the function arguments to the function bms, after being adjusted for inconsistencies # topmod object/list containing the best nmodel models; for mor information see help on function .top10 # start.pos (numeric(<=K)) the indexes of covariates in the actual starting model, that started the MCMC sampling chain # gprior.info (list) A list containing information on the gprior: its type ("BRIC", "EBL", "hyper" or "numeric"), whether it is constant, and its # first moment (in case of the hyper-prior, also the second moment) # X.data (data.frame) the data in the bms function argument X.data; the same as BMAOBJECT$arguments$X.data, retained for backward compatibility # reg.names (character(K)) the covariates' column names (generic ones, if no names were provided with X.data) # bms.call (call) the function call to bms() as it was entered into the command line (regularized by match.call()) # ############################### # Deprecated output elements # ################################################################################################### # in order to convert your bma object into a bma object of versions before this version: 20090612, # use the function as.oldbma(BMAOBJECT) # ----- The following are deprecated elements of BMAOBJECT =bms(...) ------- # estimates use estimates.bma(BMAOBJECT) # estimates when exact=TRUE: use estimates.bma(BMAOBJECT, exact=TRUE) # info use info.bma(BMAOBJECT) # topmodels use topmodels.bma(BMAOBJECT) # beta.draws use beta.draws.bma(BMAOBJECT) # pmp.10 use pmp.bma(BMAOBJECT) # # # ###### BMS MAIN FUNCTION ######################### #' Bayesian Model Sampling and Averaging #' #' Given data and prior information, this function samples all possible model #' combinations via MC3 or enumeration and returns aggregate results. #' #' Ad \code{mcmc}: \cr Interaction sampler: adding an ".int" to an MC3 sampler #' (e.g. "mcmc="bd.int") provides for special treatment of interaction terms. #' Interaction terms will only be sampled along with their component variables: #' In the colnumn names of X.data, interaction terms need to be denominated by #' names consisting of the base terms separated by \code{#} (e.g. an #' interaction term of base variables \code{"A"}, \code{"B"} and \code{"C"} #' needs column name \code{"A#B#C"}). Then variable \code{"A#B#C"} will only be #' included in a model if all of the component variables ("A", "B", and "C") #' are included. #' #' The MC3 samplers "\code{bd}", "\code{rev.jump}", "\code{bd.int}" and #' "\code{rev.jump.int}", iterate away from a starting model by adding, #' dropping or swapping (only in the case of rev.jump) covariates. #' #' In an MCMC fashion, they thus randomly draw a candidate model and then move #' to it in case its marginal likelihood (marg.lik.) is superior to the #' marg.lik. of the current model. #' #' In case the candidate's marg.lik is inferior, it is randomly accepted or #' rejected according to a probability formed by the ratio of candidate #' marg.lik over current marg.lik. Over time, the sampler should thus converge #' to a sensible distribution. For aggregate results based on these MC3 #' frequencies, the first few iterations are typically disregarded (the #' 'burn-ins'). #' #' Ad \code{g} and the hyper-g prior: The hyper-g prior introduced by Liang et #' al. (2008) puts a prior distribution on the shrinkage factor \eqn{g/(1+g)}, #' namely a Beta distribution \eqn{ Beta(1, 1/2-1)} that is governed by the #' parameter \eqn{a}. \eqn{a=4} means a uniform prior distribution of the #' shrinkage factor, while \eqn{a>2} close to 2 concentrates the prior #' shrinkage factor close to one. \cr The prior expected value is #' \eqn{E(g/1+g)) = 2/a}. In this sense \code{g="hyper=UIP"} and #' \code{g="hyper=BRIC"} set the prior expected shrinkage such that it conforms #' to a fixed UIP-g (eqng=N) or BRIC-g (\eqn{g=max(K^2,N)} ). #' #' #' @param X.data a data frame or a matrix, with the dependent variable in the #' first column, followed by the covariates (alternatively, \code{X.data} can #' also be provided as a \code{\link{formula}}). Note that \code{bms} #' automatically estimates a constant, therefore including constant terms is #' not necessary. #' @param burn The (positive integer) number of burn-in draws for the MC3 #' sampler, defaults to 1000. (Not taken into account if mcmc="enumerate") #' @param iter If mcmc is set to an MC3 sampler, then this is the number of #' iteration draws to be sampled (ex burn-ins), default 3000 draws. \cr If #' \code{mcmc="enumerate"}, then iter is the number of models to be sampled, #' starting from 0 (defaults to \eqn{2^K-1}) - cf. \code{start.value}. #' @param nmodel the number of best models for which information is stored #' (default 500). Best models are used for convergence analysis between #' likelihoods and MCMC frequencies, as well as likelihood-based inference.\cr #' Note that a very high value for \code{nmodel} slows down the sampler #' significantly. Set nmodel=0 to speed up sampling (if best model information #' is not needed). #' @param mcmc a character denoting the model sampler to be used.\cr The MC3 #' sampler \code{mcmc="bd"} corresponds to a birth/death MCMC algogrithm. #' \code{mcmc="rev.jump"} enacts a reversible jump algorithm adding a "swap" #' step to the birth / death steps from "bd".\cr Alternatively, the entire #' model space may be fully enumerated by setting \code{mcmc="enumerate"} which #' will iterate all possible regressor combinations (Note: consider that this #' means \eqn{2^K} iterations, where K is the number of covariates.)\cr Default #' is full enumeration (\code{mcmc="enumerate"}) with less then 15 covariates, #' and the birth-death MC3 sampler (\code{mcmc="bd"}) with 15 covariates or #' more. Cf. section 'Details' for more options. #' @param g the hyperparameter on Zellner's g-prior for the regression #' coefficients.\cr \code{g="UIP"} corresponds to \eqn{g=N}, the number of #' observations (default);\cr \code{g="BRIC"} corresponds to the benchmark #' prior suggested by Fernandez, Ley and Steel (2001), i.e \eqn{g=max(N, K^2)}, #' where K is the total number of covariates;\cr \code{g="RIC"} sets #' \eqn{g=K^2} and conforms to the risk inflation criterion by George and #' Foster (1994)\cr \code{g="HQ"} sets \eqn{g=log(N)^3} and asymptotically #' mimics the Hannan-Quinn criterion with \eqn{C_{HQ}=3} (cf. Fernandez, Ley #' and Steel, 2001, p.395)\cr \code{g="EBL"} estimates a local empirical Bayes #' g-parameter (as in Liang et al. (2008));\cr \code{g="hyper"} takes the #' 'hyper-g' prior distribution (as in Liang et al., 2008) with the default #' hyper-parameter \eqn{a} set such that the prior expected shrinkage factor #' conforms to 'UIP';\cr This hyperparameter \eqn{a} can be adjusted (between #' \eqn{20.2.\cr The default value #' \code{start.value=NA} corresponds to #' \code{start.value=min(ncol(X.data),nrow(X.data)-3)}. Note that #' \code{start.value=0} or \code{start.value=NULL} starts from the null #' model.\cr If \code{mcmc="enumerate"} then \code{start.value} is the index to #' start the iteration (default: 0, the null model) . Any number between 0 and #' \eqn{K^2-1} is admissible. #' @param g.stats \code{TRUE} if statistics on the shrinkage factor g/(1+g) #' should be collected, defaulting to TRUE (Note: set \code{g.stats=FALSE} for #' faster iteration.) #' @param logfile setting \code{logfile=TRUE} produces a logfile named #' \code{"test.log"} in your current working directory, in order to keep track #' of the sampling procedure. \code{logfile} equal to some filepath (like #' \code{logfile="subfolder/log.txt"}) puts the logfile into that specified #' position. (default: \code{logfile=FALSE}). Note that \code{logfile=""} #' implies log printouts on the console. #' @param logstep specifies at which number of posterior draws information is #' written to the log file; default: 10 000 iterations #' @param force.full.ols default FALSE. If \code{force.full.ols=TRUE}, the OLS #' estimation part of the sampling procedure relies on slower matrix inversion, #' instead of streamlined routines. \code{force.full.ols=TRUE} can slow down #' sampling but may deal better with highly collinear data #' @param fixed.reg indices or variable names of \code{X.data} that are fixed #' regressors to be always included in every sampled model. Note: the parameter #' \code{mprior.size} refers to prior model size including these fixed #' regressors. #' @return A list of class \code{bma}, that may be displayed using e.g. #' \code{\link{summary.bma}} or \code{\link{coef.bma}}. The list contains the #' following elements: \item{info}{a list of aggregate statistics: \code{iter} #' is the number of iterations, \code{burn} the number of burn-ins.\cr The #' following have to be divided by \code{cumsumweights} to get posterior #' expected values: \code{inccount} are the posterior inclusion probabilities, #' \code{b1mo} and \code{b2mo} the first and second moment of coefficients, #' \code{add.otherstats} other statistics of interest (typically the moments of #' the shrinkage factor), \code{msize} is the post. expected model size, #' \code{k.vec} the posterior model size distribution, \code{pos.sign} the #' unconditional post. probability of positive coefficients, \code{corr.pmp} is #' the correlation between the best models' MCMC frequencies and their marg. #' likelihoods.\cr \code{timed} is the time that was needed for MCMC sampling, #' \code{cons} is the posterior expected value of the constant. \code{K} and #' \code{N} are the maximum number of covariates and the sample size, #' respectively.} \item{arguments}{a list of the evaluated function arguments #' provided to \code{bms} (see above)} \item{topmod}{a 'topmod' object #' containing the best drawn models. see \code{\link{topmod}} for more details} #' \item{start.pos}{the positions of the starting model. If bmao is a'bma' #' object this corresponds to covariates bmao$reg.names[bmao$start.pos]. If #' bmao is a chain that resulted from several starting models (cf. #' \code{\link{c.bma}}, then \code{start.pos} is a list detailing all of them.} #' \item{gprior.info}{a list of class \code{\link{gprior-class}}, detailing #' information on the g-prior: \code{gtype} corresponds to argument \code{g} #' above, \code{is.constant} is FALSE if \code{gtype} is either "hyper" or #' "EBL", \code{return.g.stats} corresponds to argument \code{g.stats} above, #' \code{shrinkage.moments} contains the first and second moments of the #' shrinkage factor (only if \code{return.g.stats==TRUE}), \code{g} details the #' fixed g (if \code{is.constant==TRUE}), \code{hyper.parameter} corresponds to #' the hyper-g parameter \eqn{a} as in Liang et al. (2008) } #' \item{mprior.info}{a list of class \code{\link{mprior-class}}, detailing #' information on the model prior: \code{origargs} lists the original arguments #' to \code{mprior} and \code{mprior.size} above; \code{mp.msize} denotes the #' prior mode size; \code{mp.Kdist} is a (K+1) vector with the prior model size #' distribution from 0 to K} \item{X.data}{data.frame or matrix: corresponds to #' argument \code{X.data} above, possibly cleaned for NAs} #' \item{reg.names}{character vector: the covariate names to be used for X.data #' (corresponds to \code{\link{variable.names.bma}} } \item{bms.call}{the #' original call to the \code{bms} function} #' @note There are several ways to speed-up sampling: \code{nmodel=10} saves #' only the ten best models, at most a marginal improvement. \code{nmodels=0} #' does not save the best (500) models, however then posterior convergence and #' likelihood-based inference are not possible. %\code{beta.save=FALSE} saves #' the best models, but not their coefficients, which renders the use of #' \code{image.bma} and the paramer \code{exact=TRUE} in functions such as #' \code{coef.bma} infeasible. \code{g.stats=FALSE} saves some time by not #' retaining the shrinkage factors for the MC3 chain (and the best models). #' \code{force.fullobject=TRUE} in contrast, slows sampling down significantly #' if \code{mcmc="enumerate"}. #' @section Theoretical background: The models analyzed are Bayesian #' normal-gamma conjugate models with improper constant and variance priors #' akin to Fernandez, Ley and Steel (2001): A model \eqn{M} can be described as #' follows, with \eqn{\epsilon} ~ \eqn{N(0,\sigma^2 I)}: \deqn{latex}{ y= #' \alpha + X \beta + \epsilon} \deqn{f(\beta | \sigma, M, g) ~ N(0, g \sigma^2 #' (X'X)^-1) } #' #' Moreover, the (improper) prior on the constant \eqn{f(\alpha)} is put #' proportional to 1. Similarly, the variance prior \eqn{f(\sigma)} is #' proportional to \eqn{1/\sigma}. #' @author Martin Feldkircher, Paul Hofmarcher, and Stefan Zeugner #' @seealso \code{\link{coef.bma}}, \code{\link{plotModelsize}} and #' \code{\link{density.bma}} for some operations on the resulting 'bma' object, #' \code{\link{c.bma}} for integrating separate MC3 chains and splitting of #' sampling over several runs. #' #' Check \url{http://bms.zeugner.eu} for additional help. #' @references #' \url{http://bms.zeugner.eu}: BMS package homepage with help and tutorials #' #' Feldkircher, M. and S. Zeugner (2015): Bayesian Model Averaging Employing #' Fixed and Flexible Priors: The BMS Package for R, Journal of Statistical Software 68(4). #' #' Feldkircher, M. and S. Zeugner (2009): Benchmark Priors #' Revisited: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model #' Averaging, IMF Working Paper 09/202. #' #' Fernandez, C. E. Ley and M. Steel (2001): Benchmark priors for Bayesian #' model averaging. Journal of Econometrics 100(2), 381--427 #' #' Ley, E. and M. Steel (2008): On the Effect of Prior Assumptions in Bayesian #' Model Averaging with Applications to Growth Regressions. working paper #' #' Liang, F., Paulo, R., Molina, G., Clyde, M. A., and Berger, J. O. (2008). #' Mixtures of g Priors for Bayesian Variable Selection. Journal of the #' American Statistical Association 103, 410-423. #' #' Sala-i-Martin, X. and G. Doppelhofer and R.I. Miller (2004): Determinants of #' long-term growth: a Bayesian averaging of classical estimates (BACE) #' approach. American Economic Review 94(4), 813--835 #' @keywords models #' @examples #' #' data(datafls) #' #estimating a standard MC3 chain with 1000 burn-ins and 2000 iterations and uniform model priors #' bma1 = bms(datafls,burn=1000, iter=2000, mprior="uniform") #' #' ##standard coefficients based on exact likelihoods of the 100 best models: #' coef(bma1,exact=TRUE, std.coefs=TRUE) #' #' #suppressing user-interactive output, using a customized starting value, and not saving the best #' # ...models for only 19 observations (but 41 covariates) #' bma2 = bms(datafls[20:39,],burn=1000, iter=2000, nmodel=0, start.value=c(1,4,7,30), #' user.int=FALSE) #' coef(bma2) #' #' #MC3 chain with a hyper-g prior (custom coefficient a=2.1), saving only the 20 best models, #' # ...and an alternative sampling procedure; putting a log entry to console every 1000th step #' bma3 = bms(datafls,burn=1000, iter=5000, nmodel=20, g="hyper=2.1", mcmc="rev.jump", #' logfile="",logstep=1000) #' image(bma3) #showing the coefficient signs of the 20 best models #' #' #enumerating with 10 covariates (= 1024 models), keeping the shrinkage factors #' # ...of the best 200 models #' bma4 = bms(datafls[,1:11],mcmc="enumerate",nmodel=200,g.stats=TRUE) #' #' #using an interaction sampler for two interaction terms #' dataint=datafls #' dataint=cbind(datafls,datafls$LifeExp*datafls$Abslat/1000, #' datafls$Protestants*datafls$Brit-datafls$Muslim) #' names(dataint)[ncol(dataint)-1]="LifeExp#Abslat" #' names(dataint)[ncol(dataint)]="Protestants#Brit#Muslim" #' bma5 = bms(X.data=dataint,burn=1000,iter=9000,start.value=0,mcmc="bd.int") #' #' density(bma5,reg="English") # plot posterior density for covariate "English" #' #' # a matrix as X.data argument #' bms(matrix(rnorm(1000),100,10)) #' #' # keeping a set of fixed regressors: #' bms(datafls, mprior.size=7, fixed.reg = c("PrScEnroll", "LifeExp", "GDP60")) #' # Note that mprior.size=7 means prior model size of 3 fixed to 4 'uncertain' regressors #' #' @export bms <-function(X.data,burn=1000,iter=NA,nmodel=500,mcmc="bd",g="UIP",mprior="random",mprior.size=NA,user.int=TRUE, start.value=NA,g.stats=TRUE,logfile=FALSE,logstep=10000,force.full.ols=FALSE, fixed.reg=numeric(0)) { # beta.save=TRUE,exact=NA,int=NA,printRes=NA,ask.set=NA,return.g.stats=NA,theta=NULL,prior.msize=NULL #deprecated function arguments, retained for compatibility with older versions ### getting data dimensions #################### if (class(X.data)[[1]]=="formula") { X.data=stats::model.frame(X.data); if (!is.null(ncol(X.data[[2]]))) X.data=cbind(X.data[[1]],X.data[[2]][,-1]) } if (any(is.na(X.data))) { X.data=na.omit(X.data) if (nrow(X.data)<3) {stop("Too few data observations. Please provide at least three data rows without NA entries.") } warning("Argument 'X.data' contains NAs. The corresponding rows have not been taken into account.") } N<-nrow(X.data) K=ncol(X.data)-1 maxk=N-3 #maximum number of admissible k per model ############################################################################################################################################ #### User Checks: ########################################################################################################################## ############################################################################################################################################ # check for deprecated arguments # if (!is.na(exact)) { warning("Function argument 'exact' has been deprecated, please refer to function 'estimates.bma' instead.") } # if (!is.na(int)) { mcmc=paste(mcmc,".int",sep=""); warning("Function argument 'int' has been deprecated, please add an 'int' to the argument 'mcmc' instead.") } # if (!is.na(printRes)) { user.int=printRes; warning("Function argument 'printRes' has been deprecated, please refer to the argument 'user.int' instead.") } # if (!is.na(ask.set)) { warning("Function argument 'ask.set' has been deprecated, with no replacement.") } # if (!is.na(return.g.stats)) { g.stats=return.g.stats; warning("Function argument 'return.g.stats' has been renamed into 'g.stats'.") } # if (!is.null(theta)) { mprior=theta; warning("Function argument 'theta' has been renamed into 'mprior'.") } # if (!is.null(prior.msize)) { mprior.size=prior.msize; warning("Function argument 'prior.msize' has been renamed into 'mprior.size'.") } # return.g.stats=g.stats; #theta=mprior; prior.msize=mprior.size if (is.null(nmodel[1])||is.na(nmodel[1])||nmodel[1]<=0) {dotop=FALSE;nmodel=0} else {dotop=TRUE} ########################################################################### nameix=1:K; names(nameix)=colnames(X.data[,-1,drop=FALSE]); fixed.pos=nameix[fixed.reg]; rm(nameix) ###################################################################################################################################### #assign the sampling procedure if (missing(mcmc)&&((K-length(fixed.pos))<15)) {mcmc="enum"} int=FALSE; is.enum=FALSE #int: whether interaction sampler is wanted; is.enum: whether the sampler is enumeration if (is.function(mcmc)) { samplingfun=mcmc mcmc="custom" } else { if (length(grep("int",mcmc,ignore.case=TRUE))) {int=TRUE} if (length(grep("enum",mcmc,ignore.case=TRUE))) { is.enum=TRUE; samplingfun=.iterenum if (K>maxk) samplingfun=.iterenum.KgtN } else if(length(grep("bd",mcmc,ignore.case=TRUE))){ samplingfun=switch(int+1,.fls.samp,.fls.samp.int) } else { samplingfun=switch(int+1,.rev.jump,.rev.jump.int) } } if (int&&(length(fixed.pos)>0L)) { warning("interaction sampler does not allow for non-zero argument fixed.pos; consequently it was set fixed.pos=0"); fixed.pos=numeric(0); } sampling=.fixedset.sampler(samplingfun,fullK=K,fixed.pos=fixed.pos, X.data=X.data); ###################################################################################################################################### # specific enumeration user checks & init if (is.enum) { #check for a start.value index to start enumeration from seomewhere in between (and not do all possible models) burn=0; int=FALSE; mcmc="enum"; is.enum=TRUE tmp=.enum_startend(iter=iter, start.value=start.value, K=K, maxk=maxk, fixed.pos=fixed.pos); iter=tmp$iter; start.value=tmp$start.value } else { if (is.na(iter)) {iter=3000}; #if no enumeration and iter not given, set to default value 3000 } ###################################################################################################################################### # generate logfile if desired if(logfile!=FALSE){ if (is.character(logfile)) { sfilename=logfile} else { sfilename="test.log" } if (nchar(sfilename)>0) file.create(sfilename) logfile=TRUE cat(as.character(Sys.time()),": starting loop ... \n",append=TRUE, file=sfilename) #write one line if (logstep!=10000) fact=logstep else fact=max(floor((burn+iter)/100),logstep) } ###################################################################################################################################### ###################################################################################################################################### # subtract mean from all regressors as in FLS y<-as.matrix(X.data[,1]) X<-as.matrix(X.data[,2:ncol(X.data)]) y<-y-mean(y) X<-X-matrix(colMeans(X),N,K,byrow=TRUE) # multiply the whole matrix stuff out before going into the simulation loops XtX.big=crossprod(X) Xty.big=crossprod(X,y) yty = as.vector(crossprod(y)) # user check: whether we have to use force.full.ols coreig=eigen(cor(X),symmetric=TRUE,only.values=TRUE)$values if (!force.full.ols) { #this line was added due to feature requests if (sum(coreig>1e-7)1e-13))) } ###################################################################################################################################### # for the case that X contains interaction terms if(int){ if(length(grep("#",colnames(X.data),fixed=TRUE))==0) stop("Please separate column names of interaction terms by # (e.g. A#B)") mPlus=.constr.intmat(X,K) } else{ mPlus<-NA } ###################################################################################################################################### #Prior Initialization #model prior: outsourced to stupid function for cleanliness pmplist=.choose.mprior(mprior,mprior.size,K=K,X.data=X.data,fixed.pos=fixed.pos) mprior=pmplist$mp.mode; #g-prior gprior.info = .choose.gprior(g,N,K,return.g.stats=g.stats,yty=yty,X.data=X.data) # gprior.info is a list that summarizes info about the choice of the g-prior lprobcalc = gprior.info$lprobcalc ###################################################################################################################################### #The function Starter selects randomly a start matrix and runs a #regression. From this regression, the #start Design matrix is that for which the t-stats are >0.2. So we #can circumvent starting from a very bad start point. start.list=.starter(K,start.value,y,N=N,XtX.big=XtX.big,Xty.big=Xty.big,X=X,fixed.pos=fixed.pos) molddraw=start.list$molddraw; start.position=start.list$start.position kold=sum(molddraw) position=(1:K)[molddraw==1] ######################################################################################################################################## ################################################################################################ # Initializing # ################################################################################################ # initialize sampler-specific variables ######################################## # these are to select additional statistics (such as g) collect.otherstats=FALSE otherstats=numeric(0) add.otherstats=numeric(0) # initialize the vector for collecting the empirical shrinkage factor moments if (gprior.info$return.g.stats & !(gprior.info$is.constant)) { add.otherstats=gprior.info$shrinkage.moments; collect.otherstats=TRUE } cumsumweights=iter null.lik=lprobcalc$just.loglik(ymy=yty,k=0) # calculate Likelihood for NullModel if (K < N-3) { mid.lik=lprobcalc$just.loglik(ymy=yty*(1-as.vector(crossprod(crossprod(chol2inv(chol(XtX.big)),Xty.big),Xty.big)/yty)),k=ceiling(K/2)) # calculate Likelihood for max model } else { mid.lik=lprobcalc$just.loglik(ymy=yty*.001,k=ceiling(K/2)) # calculate Likelihood for max model } if (!is.finite(mid.lik)) { mid.lik=sapply(as.list(seq(.1,.9,.1)),function(x) lprobcalc$just.loglik(ymy=yty*x,k=ceiling(K/2))); mid.lik=max(mid.lik[is.finite(mid.lik)]) } #adding up posterior stats has been outsourced to sub-functions for speed reasons if (collect.otherstats) { addup<- function() { inccount <<- inccount + molddraw #PIPs msize<<-msize + kold # average size of models #for speed reasons, iterative adding with indexing should be done in one stacked vector if (kold!=0) { bm[c(position,K+position,2*K+kold,3*K+position)]=c(b1,b2,1,b1>0); bmo <<- bmo+bm #bmo is partitioned: first K entries have cum. b1 ("b1mo"), second K entries have cum. b2 ("b2mo"), third K entries have model size dist ("k.vec"), and fourth K entries are like inccount for positive betas (add up pos. sign covariate selections) } else { null.count<<-null.count+1 } # collect e.g. estimated g-priors, etc otherstats<<-lik.list[["otherstats"]]; add.otherstats<<-add.otherstats + otherstats } } else { addup <- function() { inccount <<- inccount + molddraw #PIPs msize<<-msize + kold # average size of models #for speed reasons, iterative adding with indexing should be done in one stacked vector if (kold!=0) { bm[c(position,K+position,2*K+kold,3*K+position)]=c(b1,b2,1,b1>0); bmo <<- bmo+bm #bmo is partitioned: first K entries have cum. b1 ("b1mo"), second K entries have cum. b2 ("b2mo"), third K entries have model size dist ("k.vec"), and fourth K entries are like inccount for positive betas (add up pos. sign covariate selections) } else { null.count<<-null.count+1 } } } if (is.enum) { cumsumweights=0 if (collect.otherstats) { addup<- function() { weight= exp(pmpold+lprobold-mid.lik) inccount <<- inccount + weight*molddraw #PIPs msize<<-msize + weight*kold # average size of models cumsumweights<<-cumsumweights+weight #denominator to get at sum of PMPs=1 #browser() #for speed reasons, iterative adding with indexing should be done in one stacked vector if (kold!=0) { bm[c(position,K+position,2*K+kold,3*K+position)]=weight*c(b1,b2,1,b1>0); bmo <<- bmo+bm #bmo is partitioned: first K entries have cum. b1 ("b1mo"), second K entries have cum. b2 ("b2mo"), third K entries have model size dist ("k.vec"), and fourth K entries are like inccount for positive betas (add up pos. sign covariate selections) } else { null.count<<-null.count+weight } otherstats<<-lik.list[["otherstats"]]; add.otherstats<<-add.otherstats + weight*otherstats } } else { addup <- function() { weight= exp(pmpold+lprobold-mid.lik) #browser() inccount <<- inccount + weight*molddraw #PIPs msize<<-msize + weight*kold # average size of models cumsumweights<<-cumsumweights+weight #denominator to get at sum of PMPs=1 #for speed reasons, iterative adding with indexing should be done in one stacked vector if (kold!=0) { bm[c(position,K+position,2*K+kold,3*K+position)]=weight*c(b1,b2,1,b1>0); bmo <<- bmo+bm #bmo is partitioned: first K entries have cum. b1 ("b1mo"), second K entries have cum. b2 ("b2mo"), third K entries have model size dist ("k.vec"), and fourth K entries are like inccount for positive betas (add up pos. sign covariate selections) } else { null.count<<-null.count+weight } } } } environment(addup) <- environment() ################################################################################## ##initialize model varibales with starter model ################################### ols.object=.ols.terms2(positions=(1:K)[molddraw==1],yty=yty,k=kold,N,K=K,XtX.big=XtX.big,Xty.big=Xty.big) #OLS results from starter model lik.list=lprobcalc$lprob.all(ymy=ols.object$ymy, k=kold, bhat=ols.object$bhat, diag.inverse=ols.object$diag.inverse) #likelihood and expected values for starter model lprobold=lik.list$lprob b1=lik.list$b1new b2=lik.list$b2new ## calculate the posterior model probability for the first model pmpold=pmplist$pmp(ki=kold,mdraw=molddraw) ################################################################################## ## initialize top 10 function #################################################### #topmods=.top10(nmaxregressors=K,nbmodel=nmodel,bbeta=FALSE,bbeta2=FALSE,lengthfixedvec=length(add.otherstats)) topmods=topmod(nbmodels=nmodel,nmaxregressors=K,bbeta=FALSE,lengthfixedvec=length(add.otherstats)) if (mcmc=="enum") { try(topmods$duplicates_possible(FALSE), silent=TRUE) } if (dotop && (burn==0L)) topmods$addmodel(mylik=pmpold+lprobold,vec01=molddraw,fixedvec=lik.list$otherstats) ################################################################################## ## Initialize the rest ########################################################### null.count=0 #number the null model has been drawn models.visited=0 #how often a model has been accepted (in burn-ins and iterations) inccount=numeric(K) #how often the respective covariate has been included msize=0 #average model size k.vec=numeric(K) #how often the respective model size has been accepted b1mo=numeric(K) #holds aggregate first moment of all coefficients ab=numeric(K) #Initialize them here b2mo=numeric(K) #holds aggregate second moment of all coefficients bb=numeric(K) possign=inccount # the number of times the respective coefficent has been positive mnewdraw=numeric(K) #holds the binary vector denoting the proposed model if (force.full.ols) {candi.is.full.object=TRUE} else {candi.is.full.object=FALSE} #candi.is.full: if TRUE, standard OLS, else OLS via Frisch-Waugh tricks bmo=numeric(4*K); bm=bmo #common placeholder for b1mo, b2mo, k.vec and possign if (is.enum) { addup() } # in case the sampler is enumeration then count the starting value as well (no burn-ins) if (!is.finite(pmpold)) pmpold = -1e90 # this is if in case of an MCMC sampler the starting model got 0 PMP ############################################################################################################### ############################################################################################################### ############################################################################################# set.seed(as.numeric(Sys.time())) #Set Seed randomly for number generator t1<-Sys.time() #Save time before going into the loop ########################################################################################### #START MAIN LOOP ########################################################################################### nrep=burn+iter; i=0; while(i2|i<3|force.full.ols) {candi.is.full.object=TRUE} else {candi.is.full.object=FALSE}} #candi.is.full.object = TRUE if there were multiple regs dropped or added due to interaction terms if (candi.is.full.object) { ols.candidate = .ols.terms2(positions=positionnew,yty=yty,k=knew,N,K=K,XtX.big=XtX.big,Xty.big=Xty.big) #in case of changing interaction terms, draw the big OLS stuff ymy.candi =ols.candidate[["ymy"]] } else { ymy.candi=ols.object[["child.ymy"]](a$addi,a$dropi,k=knew) #if standard sampling, use Frisch-Waugh to get the new ResidSS (faster) } if ( (ymy.candi<0) | is.na(ymy.candi) ) stop(paste("stumbled on rank-deficient model" )) lprobnew = lprobcalc[["just.loglik"]](ymy=ymy.candi,k=knew) # get the log-likelihood out of the ResidSS #Now decide whether to accept candidate draw accept.candi = as.logical(log(stats::runif(1,0,1))< lprobnew-lprobold + pmpnew-pmpold) } else { accept.candi=TRUE candi.is.full.object=FALSE } if(accept.candi){ if (!candi.is.full.object) { #in case one has used Frisch-Waugh and the new model got accepted, #calculate the 'real' inverse in order not to make copying mistakes ols.res = ols.object[["mutate"]](addix=a$addi, dropix=a$dropi, newpos=positionnew, newk=knew) } else { ols.object = ols.candidate ols.res = ols.candidate[["full.results"]]() } lik.list = lprobcalc[["lprob.all"]](max(0,ols.res$ymy), knew, ols.res$bhat, ols.res$diag.inverse) lprobold=lik.list[["lprob"]] position = positionnew pmpold=pmpnew #get posterior odds for new model if accepted molddraw=mnewdraw kold=knew models.visited=models.visited+1 #does not account for revisiting models } # Collect Posterior Draws ######################################################################## if (i>burn){ b1=lik.list[["b1new"]]; b2=lik.list[["b2new"]]; addup() #addup does iterative, cumulative sums of quantities of interest (betas, model size, etc.) # add log(lik)*p(M) to topmodels if (dotop) topmods[["addmodel"]](mylik=pmpold+lprobold,vec01=molddraw,fixedvec=otherstats) } } ########################################################################################### #END MAIN LOOP ########################################################################################### ########################################################################################### #adjust the topmod object and calculate all the betas after sampling #similar to havving set bbeta=T, and bbeta2=T in the call to .top10 above if (dotop) topmods=.topmod.as.bbetaT(topmods,gprior.info,X.data) ########################################################################################### ########################################################################################### timed<-difftime(Sys.time(),t1) # do aggregating calculations if (is.enum) {iter=iter+1; models.visited=models.visited+1} bmo=matrix(bmo,4,byrow=TRUE); b1mo=bmo[1,]; b2mo=bmo[2,]; k.vec=bmo[3,]; possign=bmo[4,]; rm(bmo) post.inf=.post.calc(gprior.info,add.otherstats,k.vec,null.count,X.data,topmods,b1mo,b2mo,iter,burn,inccount,models.visited,K,N,msize,timed,cumsumweights,mcmc,possign) result=list(info=post.inf$info,arguments=.construct.arglist(bms, environment()),topmod=topmods,start.pos=sort(start.position),gprior.info=post.inf$gprior.info,mprior.info=pmplist,reg.names=post.inf$reg.names,bms.call=try(match.call(bms,sys.call(0)),silent=TRUE)) if (!is.null(result$X.data)) { result$X.data<-NULL } class(result)=c("bma") ########################################################################################### # print results to console if(user.int){ print(result) print(timed) plot.bma(result) # do modelsize plot } return(invisible(result)) } BMS/NEWS.md0000644000176200001440000001027114273170113011771 0ustar liggesusers# BMS 0.3.5 Last build 2022-08-05. Rebuilding package with modern means in order to prepare expansion of package. Coding started in Jan 2022, fixing small issues... ## Main changes * License changed from artistic to BSD3 * Co-author added: Paul Hofmarcher, maintainer email changed. * Source coude released at github: github.com/zeugner/BMS, no with roxygen documentation * For issues, check bms.zeugner.eu * ## Bug fixes * `bms()`: Fixed numerical tolerance bugs relating to enumeration over datasets with 1000+ observations * Fixed coercion to logical(1) issue * Reduced file size of bma objects somewhat # BMS 0.3.3 Build 2013-11-22. Maintenance release to cope with changes in R version 3 compared to version 2. Alse see release notes at https://modelaveraging.wordpress.com/category/news/ # BMS 0.3.2 Build 2013-11-17. Maintenance release to cope with changes in R version 3 compared to version 2 # BMS 0.3.1 Build 2012-08-28. Maintenance release to fix inconsistencies in package version 0.3.0 (Warnings in package checks) under new R versions >=2.14 # BMS 0.3.0 Build 2011-05-04 ##Changes * Changed behavior of `pmp.bma()` ## New features: * `bms()` now can hold a set of fixed regressors (argument fixed.reg) * New post-processing functions functions `pred.density()`, `plot.pred.density()`, `print.pred.density()`, `predict.bma()`, `predict.zlm()` * New functions `quantile.density()`, `quantile.pred.density()`, `quantile.coef.density()` * New function `pmpmodel()` * New post-processing functions `post.var()` and `post.pr2()` * New S3 additionms `model.frame.bma()`, `model.frame.zlm()`, `deviance.bma()`, `deviance.zlm()`, `variable.names.bma()`, `variable.names.zlm()`, `logLik.zlm()`, `vcov.zlm()` * bms can now accommodate user-defined coefficient (g) and model-priors, as well as samplers ## Bug fixes: * `bms()`: * bug with accept.candi = NA fixed * problems with environment in non-standard settings fixed (in internal function .construct.arglist) * mprior =="custompip" is now working properly (fixed in internal function .mprior.pip.init) * fixed problem with sys.call in non-standard calling environments * `plotComp()`: * also works for single bma object now * fixed display when variable names are too long, fixed many problems with graphical parameters - completely redone * `topmod()`: * bug when likelihood==-Inf, fixed (in internal function .top10) * initializing with bbeta==FALSE now works properly (fixed in .top10) * `density.bma()`: bug with par and plot.new fixed when argument addons contains "p" * `image.bma()`: fixed display problems when variable names too long * `plotConv()` (resp. plot.bma): fixed warning 'In min(x) : no non-missing arguments to min; returning Inf' * `plotModelsize()`: * bugfixes for parameter ksubset and graphical parameters * can now cope with case when model prior is not available ## Changes to internal objects: * New classes: gprior, mprior, pred.density, implicit class coef.density * Streamlining and customizability of gprior required changes to following functions: `bms()`, `zlm()`, .choose.gprior, gdensity, .topmod.as.bbetaT New functions gprior.constantg.init, gprior.eblocal.init and .gprior.hyperg.init now provide for generic handling of g-priors Old functions lprob.*.init are still available for compatibility * Streamlining and customizability of mprior required changes to following functions: .choose.mprior, and all .mprior.*.init functions * Streamlining and customizability of sampling functions led to streamlining of: .iterenum, .fls.samp, .rev.jump, .enum_startend * Introduction of bms argument fixed.reg is handled generically by functions .fixedset.mprior, .fixedset.sampler, .starter, .choose.mprior, bms * Speeding-up of syntax (replacing $ with [[, directly calling internal functions) yields 5% speed gain in bms vs version 0.2.5 * .construct.arglist has been vastly changed # BMS 0.2.5 Build 2010-07-30, fixed a bug affecting with coefficient appearance # BMS 0.2.4 Build 2010-07-25, first release on CRANBMS/MD50000644000176200001440000000561114274440212011206 0ustar liggesusers07454db508dcf139c0dd90b2b68bfd82 *DESCRIPTION 5a6802360e594fb3f58a54de0af51536 *LICENSE 00f371806dc21b4e57eb726d24b490dd *NAMESPACE ca8c320c58acb6c383b6a942b13bc99b *NEWS.md d4cd90182d2bd7287c5e4af6ea15a441 *R/BMS-package.R 5e595b04dad78dea4d444327d933f236 *R/aux_inner.R 42dedfa90c7b579b2f9b02270ae4aa13 *R/aux_outer.R 07b2df96ac5d89fb5d48f669787e6c9e *R/bma.R 987b195cc062d746587fd0fedd025768 *R/data.R f785eaab17d00302e52a97b88a87f7de *R/sysdata.rda c5dd09b0ada4e33dfcb98ea34d133a84 *R/zzz.R 4881ac67eb7d27920948dd10db80363d *build/vignette.rds 287c03f96465d38bf8d65d55682640bf *data/datafls.rda ad002c6d83ae4a0f36e2f25110455b9b *inst/CITATION 00b610634711cd856d03f543ffa45f66 *inst/doc/bmsmanual.R d79f6de69d4d5817944364a9e874b9d2 *inst/doc/bmsmanual.Rnw fab100b6bfb727910ed69a890ccdf783 *inst/doc/bmsmanual.pdf 2ba4eb9688bedaf953338e1861a3d16f *man/BMS-package.Rd 68c25ccac61cc28138350f2fb3534843 *man/as.zlm.Rd 8379028a476483f0681951c4109895e0 *man/beta.draws.bma.Rd aae8892fed4a9bb200cf7340db140a8a *man/bin2hex.Rd 38a5d41dd3fe2c46755d0b81462a586b *man/bma-class.Rd cccb4b1ece31be121cccd3d85b337275 *man/bms.Rd 9232c98f24cc56d1d710191b5035aa06 *man/c.bma.Rd 7970aa95c32520c8a77c89c01b2dcac9 *man/coef.bma.Rd 8dc6c73c6481df2a56bf2b6b9d872a2e *man/datafls.Rd 867300290ed2901b65cfd79feff22613 *man/density.bma.Rd 30162c73f7a65683fe230d218e0ccb93 *man/f21hyper.Rd 133b2716ebe89c070ab3265978a26c8b *man/fullmodel.ssq.Rd a691cbb6d7367fa5d325c80429e0ccbc *man/gdensity.Rd b49c32f1cf6c24c6f5620a17ff04b649 *man/gprior-class.Rd c22f9b8ae3b566efe1cd2721dba28e6c *man/image.bma.Rd 7c3b1a7bdf496849ff12ba3f794c4f5b *man/is.bma.Rd 257c843418910a665f78d4bcc3da8e9c *man/lps.bma.Rd 5ce6a2e27d072221523ac03771848c9c *man/mprior-class.Rd 391457e0417bc5dc04c2398701bcea52 *man/plot.bma.Rd 9f74957f1b56a6222f955567f34b9d25 *man/plotComp.Rd dc6fd0a5235eee27cdc53e14da1f3567 *man/plotConv.Rd c86e7e4d40a5f6a840367ce63d8949db *man/plotModelsize.Rd 9af53270759243241fad433d50f1d4e3 *man/pmp.bma.Rd 8e191e6e98d972a4321ed8074d9b17d4 *man/pmpmodel.Rd 1653a1a253a006df4dd3f882c53bebba *man/post.var.Rd 511475aa8f1c872e3f7a3a93516c6323 *man/pred.density.Rd 6dfa2c6dfc2e2460b246d941dfe4d81f *man/predict.bma.Rd 913be1ab0cceff24ce1f66cb561aacdf *man/predict.zlm.Rd 060428eb8b1065ecddef85dbe77c4e45 *man/print.topmod.Rd 1a4c8e8450f37acba1857f307737dc5b *man/quantile.pred.density.Rd 96c06e7badb25290095d41bf3981ffc9 *man/summary.bma.Rd 0287092d6208cc27ebedc4e2fbbe641e *man/summary.zlm.Rd a547b78e47ffdf7baf181c389fdd1541 *man/topmod-class.Rd a2bf6d3fd2506defc60d5e62cbba2103 *man/topmod.Rd ebee058c5991262f48f81939d0e14898 *man/topmodels.bma.Rd 89be2e55559d87bb28bbb6b2fc90be4c *man/variable.names.bma.Rd 0538f7bd9698b264b474e78d6661c91d *man/variable.names.zlm.Rd ad38f19c66c3e7e8fa0d3ecdb3221b1e *man/zlm-class.Rd 412fd5642af1cc85add381fefc1e80e1 *man/zlm.Rd 21bb7ab089916c0ab914c69a9cfb3f3e *vignettes/bmasmall.bib d79f6de69d4d5817944364a9e874b9d2 *vignettes/bmsmanual.Rnw BMS/inst/0000755000176200001440000000000014273172010011645 5ustar liggesusersBMS/inst/doc/0000755000176200001440000000000014273172010012412 5ustar liggesusersBMS/inst/doc/bmsmanual.R0000644000176200001440000002764314273172010014530 0ustar liggesusers### R code from vignette source 'bmsmanual.Rnw' ################################################### ### code chunk number 1: bmsmanual.Rnw:16-17 ################################################### options(width=75) ################################################### ### code chunk number 2: bmsmanual.Rnw:64-65 ################################################### data(attitude) ################################################### ### code chunk number 3: bmsmanual.Rnw:68-69 ################################################### library(BMS) ################################################### ### code chunk number 4: bmsmanual.Rnw:72-73 ################################################### att = bms(attitude, mprior = "uniform", g="UIP", user.int=F) ################################################### ### code chunk number 5: bmsmanual.Rnw:79-80 ################################################### coef(att) ################################################### ### code chunk number 6: bmsmanual.Rnw:87-88 ################################################### coef(att, std.coefs=T, order.by.pip=F, include.constant=T) ################################################### ### code chunk number 7: bmsmanual.Rnw:94-95 ################################################### summary(att) ################################################### ### code chunk number 8: bmsmanual.Rnw:100-101 ################################################### topmodels.bma(att)[,1:3] ################################################### ### code chunk number 9: bmsmanual.Rnw:106-107 ################################################### image(att) ################################################### ### code chunk number 10: bmsmanual.Rnw:115-116 ################################################### sum(coef(att)[,1]) ################################################### ### code chunk number 11: bmsmanual.Rnw:120-121 ################################################### plotModelsize(att) ################################################### ### code chunk number 12: bmsmanual.Rnw:132-133 ################################################### att_fixed = bms(attitude, mprior="fixed", mprior.size=2, user.int=T) ################################################### ### code chunk number 13: bmsmanual.Rnw:139-140 ################################################### att_pip = bms(attitude, mprior="pip", mprior.size=c(.01,.5,.5,.5,.5,.5), user.int=F) ################################################### ### code chunk number 14: bmsmanual.Rnw:146-147 ################################################### plotModelsize(att_fixed) ################################################### ### code chunk number 15: bmsmanual.Rnw:153-155 ################################################### att_random = bms(attitude, mprior="random", mprior.size=3, user.int=F) plotModelsize(att_random) ################################################### ### code chunk number 16: bmsmanual.Rnw:161-162 (eval = FALSE) ################################################### ## plotComp(Uniform=att, Fixed=att_fixed, PIP=att_pip, Random=att_random) ################################################### ### code chunk number 17: bmsmanual.Rnw:165-166 ################################################### plotComp(Uniform=att, Fixed=att_fixed, PIP=att_pip, Random=att_random, cex=2) ################################################### ### code chunk number 18: bmsmanual.Rnw:199-201 (eval = FALSE) ################################################### ## data(datafls) ## fls1 = bms(datafls, burn=50000, iter=100000, g="BRIC", mprior="uniform", nmodel=2000, mcmc="bd", user.int=F) ################################################### ### code chunk number 19: bmsmanual.Rnw:203-204 ################################################### fls1 = BMS:::.flsresultlist('fls1') ################################################### ### code chunk number 20: bmsmanual.Rnw:207-208 ################################################### summary(fls1) ################################################### ### code chunk number 21: bmsmanual.Rnw:212-213 ################################################### plotConv(fls1) ################################################### ### code chunk number 22: bmsmanual.Rnw:217-218 ################################################### plotConv(fls1[1:100]) ################################################### ### code chunk number 23: bmsmanual.Rnw:226-227 ################################################### pmp.bma(fls1)[1:5,] ################################################### ### code chunk number 24: bmsmanual.Rnw:230-231 ################################################### colSums(pmp.bma(fls1)) ################################################### ### code chunk number 25: bmsmanual.Rnw:234-235 ################################################### coef(fls1)[1:5,] ################################################### ### code chunk number 26: bmsmanual.Rnw:238-239 ################################################### coef(fls1,exact=TRUE)[1:5,] ################################################### ### code chunk number 27: bmsmanual.Rnw:250-251 ################################################### fls2 = BMS:::.flsresultlist('fls2') ################################################### ### code chunk number 28: bmsmanual.Rnw:253-254 (eval = FALSE) ################################################### ## fls2= bms(datafls, burn=20000, iter=50000, g="BRIC", mprior="uniform", mcmc="rev.jump", start.value=0, user.int=F) ################################################### ### code chunk number 29: bmsmanual.Rnw:256-257 ################################################### summary(fls2) ################################################### ### code chunk number 30: bmsmanual.Rnw:261-263 ################################################### fls_combi = c(fls1,fls2) summary(fls_combi) ################################################### ### code chunk number 31: bmsmanual.Rnw:277-278 ################################################### fls_g5 = BMS:::.flsresultlist('fls_g5') ################################################### ### code chunk number 32: bmsmanual.Rnw:280-281 (eval = FALSE) ################################################### ## fls_g5 = bms(datafls, burn=20000, iter=50000, g=5, mprior="uniform", user.int=F) ################################################### ### code chunk number 33: bmsmanual.Rnw:283-285 ################################################### coef(fls_g5)[1:5,] summary(fls_g5) ################################################### ### code chunk number 34: bmsmanual.Rnw:300-301 ################################################### fls_ebl = BMS:::.flsresultlist('fls_ebl') ################################################### ### code chunk number 35: bmsmanual.Rnw:303-304 (eval = FALSE) ################################################### ## fls_ebl = bms(datafls, burn=20000, iter=50000, g="EBL", mprior="uniform", nmodel=1000, user.int=F) ################################################### ### code chunk number 36: bmsmanual.Rnw:306-307 ################################################### summary(fls_ebl) ################################################### ### code chunk number 37: bmsmanual.Rnw:310-311 ################################################### plot(fls_ebl) ################################################### ### code chunk number 38: bmsmanual.Rnw:320-321 ################################################### fls_hyper = BMS:::.flsresultlist('fls_hyper') ################################################### ### code chunk number 39: bmsmanual.Rnw:323-324 (eval = FALSE) ################################################### ## fls_hyper = bms(datafls, burn=20000, iter=50000, g="hyper=UIP", mprior="random", mprior.size=7, nmodel=1000, user.int=F) ################################################### ### code chunk number 40: bmsmanual.Rnw:326-327 ################################################### summary(fls_hyper) ################################################### ### code chunk number 41: bmsmanual.Rnw:331-332 ################################################### gdensity(fls_hyper) ################################################### ### code chunk number 42: bmsmanual.Rnw:336-337 ################################################### image(fls_hyper) ################################################### ### code chunk number 43: bmsmanual.Rnw:345-346 ################################################### density(fls_combi,reg="Muslim") ################################################### ### code chunk number 44: bmsmanual.Rnw:350-351 ################################################### coef(fls_combi,exact=T,condi.coef=T)["Muslim",] ################################################### ### code chunk number 45: bmsmanual.Rnw:357-358 ################################################### dmuslim=density(fls_hyper,reg="Muslim",addons="Eebl") ################################################### ### code chunk number 46: bmsmanual.Rnw:364-365 ################################################### quantile(dmuslim, c(0.025, 0.975)) ################################################### ### code chunk number 47: bmsmanual.Rnw:372-375 ################################################### fcstbma= bms(datafls[1:70,], mprior="uniform", burn=20000, iter=50000, user.int=FALSE) pdens = pred.density(fcstbma, newdata=datafls[71:72,]) ################################################### ### code chunk number 48: bmsmanual.Rnw:381-382 ################################################### plot(pdens, 2) ################################################### ### code chunk number 49: bmsmanual.Rnw:388-389 ################################################### quantile(pdens, c(0.05, 0.95)) ################################################### ### code chunk number 50: bmsmanual.Rnw:395-396 ################################################### pdens$dyf(datafls[71:72,1]) ################################################### ### code chunk number 51: bmsmanual.Rnw:400-401 ################################################### plot(pdens, "ZM", realized.y=datafls["ZM",1]) ################################################### ### code chunk number 52: bmsmanual.Rnw:408-409 ################################################### lps.bma(pdens, datafls[71:72,1]) ################################################### ### code chunk number 53: bmsmanual.Rnw:498-499 ################################################### data(attitude) ################################################### ### code chunk number 54: bmsmanual.Rnw:502-503 ################################################### att_full = zlm(attitude,g="UIP") ################################################### ### code chunk number 55: bmsmanual.Rnw:506-507 ################################################### summary(att_full) ################################################### ### code chunk number 56: bmsmanual.Rnw:511-513 ################################################### att_best = as.zlm(att,model=1) summary(att_best) ################################################### ### code chunk number 57: bmsmanual.Rnw:518-520 ################################################### att_bestlm = lm(model.frame(as.zlm(att))) summary(att_bestlm) ################################################### ### code chunk number 58: bmsmanual.Rnw:529-530 ################################################### att_learn = bms(attitude,mprior="uniform", fixed.reg=c("complaints", "learning") ) ################################################### ### code chunk number 59: bmsmanual.Rnw:539-540 ################################################### fls_culture = bms(datafls,fixed.reg=c(1,8:16,24,26:41), mprior="random", mprior.size=28, mcmc="enumeration", user.int=F) ################################################### ### code chunk number 60: bmsmanual.Rnw:544-545 ################################################### coef(fls_culture)[28:41, ] ################################################### ### code chunk number 61: bmsmanual.Rnw:549-550 ################################################### plotModelsize(fls_culture, ksubset=27:41) BMS/inst/doc/bmsmanual.Rnw0000644000176200001440000017673714272457522015123 0ustar liggesusers\documentclass[a4paper]{article} \title{Bayesian Model Averaging with BMS\\ \normalsize{for BMS Version 0.3.5}} \author{Martin Feldkircher and Stefan Zeugner} \usepackage{natbib} \usepackage{vmargin} \begin{document} \setpapersize{A4} % \VignetteIndexEntry{Bayesian Model Averaging with BMS} \maketitle \abstract{This manual is a brief introduction to applied Bayesian Model Averaging with the R package \verb+BMS+. The manual is structured as a hands-on tutorial for readers with few experience with BMA. Readers from a more technical background are advised to consult the table of contents for formal representations of the concepts used in BMS.\\ For other tutorials and more information, please refer to \mbox{ \texttt{http://bms.zeugner.eu}.} } \tableofcontents \clearpage <>= options(width=75) @ \section{A Brief Introduction to Bayesian Model Averaging} This section reiterates some basic concepts, and introduces some notation for readers with limited knowledge of BMA. Readers with more experience in BMA should skip this chapter and directly go to section \ref{sec:example}. For a more thorough introduction to BMA, consult \citet{Hoetingetal99}. Note that a version this vignette has been published as \citet{fz15}. If needed, please cite from the latter reference. \subsection{Bayesian Model Averaging} Bayesian Model Averaging (BMA) addresses model uncertainty in a canonical regression problem. Suppose a linear model structure, with $y$ being the dependent variable, $\alpha_\gamma$ a constant, $\beta_\gamma$ the coefficients, and $\varepsilon$ a normal IID error term with variance $\sigma^2$: \begin{equation} y= \alpha_\gamma + X_\gamma \beta_\gamma + \varepsilon \qquad \varepsilon \sim N(0, \sigma^2 I) \label{eq:lm} \end{equation} A problem arises when there are many potential explanatory variables in a matrix $X$: Which variables $X_\gamma \in \{X\}$ should be then included in the model? And how important are they? The direct approach to do inference on a single linear model that includes all variables is inefficient or even infeasible with a limited number of observations. BMA tackles the problem by estimating models for all possible combinations of $\{X\}$ and constructing a weighted average over all of them. If $X$ contains $K$ potential variables, this means estimating $2^K$ variable combinations and thus $2^K$ models. The model weights for this averaging stem from posterior model probabilities that arise from Bayes' theorem: \begin{equation} p(M_\gamma | y, X) \; = \; \frac{p(y |M_\gamma, X) p(M_\gamma)}{p(y|X)} \; = \frac{p(y |M_\gamma, X) p(M_\gamma) }{\sum_{s=1}^{2^K} p(y| M_s, X) p(M_s)} \label{eq:bf} \end{equation} Here, $p(y|X)$ denotes the \emph{integrated} likelihood which is constant over all models and is thus simply a multiplicative term. Therefore, the posterior model probability (PMP) $p(M_\gamma|y,X)$ is proportional to\footnote{ Proportionality is expressed with the sign $\propto$: i.e. $p(M_\gamma | y, X) \; \propto \; p(y |M_\gamma, X) p(M_\gamma)$ } the marginal likelihood of the model $p(y |M_\gamma, X) $ (the probability of the data given the model $M_\gamma$) times a prior model probability $p(M_\gamma)$ -- that is, how probable the researcher thinks model $M_\gamma$ before looking at the data. Renormalization then leads to the PMPs and thus the model weighted posterior distribution for any statistic $\theta$ (e.g. the coefficients $\beta$): $$ p(\theta| y, X) = \sum_{\gamma=1}^{2^K } p(\theta | M_\gamma, y, X) p(M_\gamma| X, y) $$ The model prior $p(M_\gamma)$ has to be elicited by the researcher and should reflect prior beliefs. A popular choice is to set a uniform prior probability for each model $p(M_\gamma) \propto 1$ to represent the lack of prior knowledge. Further model prior options will be explored in section \ref{sec:mpriors}. \subsection{Bayesian Linear Models and Zellner's $g$ prior}\label{ssec:zg} The specific expressions for marginal likelihoods $p(M_\gamma|y,X)$ and posterior distributions $p(\theta | M_\gamma, y, X)$ depend on the chosen estimation framework. The literature standard is to use a 'Bayesian regression' linear model with a specific prior structure called 'Zellner's g prior' as will be outlined in this section.\footnote{Note that the presented framework is very similar to the natural normal-gamma-conjugate model - which employs proper priors for $\alpha$ and $\sigma$. Nonetheless, the resulting posterior statistics are virtually identical.}\\ For each individual model $M_\gamma$ suppose a normal error structure as in (\ref{eq:lm}). The need to obtain posterior distributions requires to specify the priors on the model parameters. Here, we place 'improper' priors on the constant and error variance, which means they are evenly distributed over their domain: $p(\alpha_\gamma) \propto 1$, i.e. complete prior uncertainty where the prior is located. Similarly, set $p(\sigma) \propto \sigma^{-1}$. The crucial prior is the one on regression coefficients $\beta_\gamma$: Before looking into the data $(y,X)$, the researcher formulates her prior beliefs on coefficients into a normal distribution with a specified mean and variance. It is common to assume a conservative prior mean of zero for the coefficients to reflect that not much is known about them. Their variance structure is defined according to Zellner's g: $\sigma^2 ( \frac{1}{g} X_\gamma'X_\gamma )^{-1}$: $$ \beta_\gamma | g \sim N \left( 0,\sigma^2 \left( \frac{1}{g} X_\gamma'X_\gamma \right)^{-1}\right) $$ This means that the researcher thinks coefficients are zero, and that their variance-covariance structure is broadly in line with that of the data $X_\gamma$. The hyperparameter $g$ embodies how certain the researcher is that coefficients are indeed zero: A small $g$ means few prior coefficient variance and therefore implies the researcher is quite certain (or conservative) that the coefficients are indeed zero. In contrast, a large $g$ means that the researcher is very uncertain that coefficients are zero. The posterior distribution of coefficients reflects prior uncertainty: Given $g$, it follows a t-distribution with expected value $E(\beta_\gamma|y,X,g,M_\gamma) = \frac{g}{1+g} \hat{\beta}_\gamma$, where $\hat{\beta}_\gamma$ is the standard OLS estimator for model $\gamma$. The expected value of coefficients is thus a convex combination of OLS estimator and prior mean (zero). The more conservative (smaller) $g$, the more important is the prior, and the more the expected value of coefficients is shrunk toward the prior mean zero. As $g \rightarrow \infty$, the coefficient estimator approaches the OLS estimator. Similarly, the posterior variance of $\beta_\gamma$ is affected by the choice of $g$:\footnote{here, $N$ denotes sample size, and $\bar{y}$ the sample mean of the response variable} $$ Cov(\beta_\gamma|y,X,g,M_\gamma) = \frac{(y-\bar{y})'(y-\bar{y})}{N-3} \frac{g}{1+g} \left(1-\frac{g}{1+g} R_\gamma^2\right) (X_\gamma'X_\gamma)^{-1} $$ I.e. the posterior covariance is similar to that of the OLS estimator, times a factor that includes $g$ and $R^2_\gamma$, the OLS R-squared for model $\gamma$. The appendix shows how to apply the function \texttt{zlm} in order to estimate such models out of the BMA context. For BMA, this prior framwork results into a very simple marginal likelihood $p(y|M_\gamma,X,g)$, that is related to the R-squared and includes a size penalty factor adjusting for model size $k_\gamma$: $$ p(y|M_\gamma,X,g) \propto (y-\bar{y})'(y-\bar{y})^{-\frac{N-1}{2} } (1+g)^{-\frac{k_\gamma}{2}} \left( 1- \frac{g}{1+g} \right)^{-\frac{N-1}{2}} $$ The crucial choice here concerns the form of the hyperparameter $g$. A popular 'default' approach is the 'unit information prior' (UIP), which sets $g=N$ commonly for all models and thus attributes about the same information to the prior as is contained in one observation. (Please refer to section \ref{sec:gprior} for a discussion of other $g$-priors.)\footnote{Note that BMS is, in principle not restricted to Zellner's $g$-priors, as quite different coefficient priors might be defined by R-savy users.} \section{A BMA Example: Attitude Data}\label{sec:example} This section shows how to perform basic BMA with a small data set and how to obtain posterior coefficient and model statistics. \subsection{Model Sampling} Equipped with this basic framework, let us explore one of the data sets built into R: The 'attitude' dataset describes the overall satisfaction rating of a large organization's employees, as well as several specific factors such as \verb+complaints+, the way of handling complaints within the organization (for more information type \verb+help(attitude)+). The data includes 6 variables, which means $2^6=64$ model combinations. Let us stick with the UIP g-prior (in this case $g=N=30$). Moreover, assume uniform model priors (which means that our expected prior model parameter size is $K/2=3$). First load the data set by typing <<>>= data(attitude) @ In order to perform BMA you have to load the BMS library first, via the command: <<>>= library(BMS) @ Now perform Bayesian model sampling via the function \verb+bms+, and write results into the variable \verb+att+. <<>>= att = bms(attitude, mprior = "uniform", g="UIP", user.int=F) @ \verb+mprior = "uniform"+ means to assign a uniform model prior, \verb+g="UIP"+, the unit information prior on Zellner's $g$. The option \verb+user.int=F+ is used to suppress user-interactive output for the moment.\footnote{Note that the argument \texttt{g="UIP"} is actually redundant, as this is the default option for \texttt{bms}. The default model prior is somewhat different but does not matter very much with this data. Therefore, the command \texttt{att = bms(attitude)} gives broadly similar results.} The first argument is the data frame \verb+attitude+, and \verb+bms+ assumes that its first column is the response variable.\footnote{The specification of data can be supplied in different manners, e.g. in 'formulas'. Type \texttt{help(lm)} for a comparable function.} \subsection{Coefficient Results} The coefficient results can be obtained via <<>>= coef(att) @ The above matrix shows the variable names and corresponding statistics: The second column \verb+Post Mean+ displays the coefficients averaged over all models, including the models wherein the variable was not contained (implying that the coefficient is zero in this case). The covariate \verb+complaints+ has a comparatively large coefficient and seems to be most important. The importance of the variables in explaining the data is given in the first column \verb+PIP+ which represents posterior inclusion probabilities - i.e. the sum of PMPs for all models wherein a covariate was included. We see that with $99.9\%$, virtually all of posterior model mass rests on models that include \verb+complaints+. In contrast, \verb+learning+ has an intermediate PIP of $40.6\%$, while the other covariates do not seem to matter much. Consequently their (unconditional) coefficients\footnote{Unconditional coefficients are defined as $E(\beta|y,X)=\sum_{\gamma=1}^{2^K} p(\beta_\gamma|, y,X, M_\gamma) p(M_\gamma|y,X)$ i.e. a weighted average over all models, including those where this particular coeffiecnt was restricted to zero. A conditional coeffienct in contrast, is 'conditional on inclusion', i.e. a weighted average only over those models where its regressor was included. Conditional coefficients may be obtained with the command \mbox{\texttt{coef(att, condi.coef =TRUE)}}.} are quite low, since the results quite often include models where these coefficients are zero. The coefficients' posterior standard deviations (\verb+Post SD+) reflect further evidence: \verb+complaints+ is certainly positive, while \verb+advance+ is most likely negative. In fact, the coefficient sign can also be inferred from the fourth column \verb+Cond.Pos.Sign+, the 'posterior probability of a positive coefficient expected value conditional on inclusion', respectively 'sign certainty'. Here, we see that in all encountered models containing this variables, the (expected values of) coefficients for \verb+complaints+ and \verb+learning+ were positive. In contrast, the corresponding number for \verb+privileges+ is near to zero, i.e. in virtually all models that include \verb+privileges+, its coefficient sign is negative. Finally, the last column \verb+idx+ denotes the index of the variables' appearance in the original data set, as our results are obviously sorted by PIP. Further inferring about the importance of our variables, it might be really more interesting to look at their standardized coefficients.\footnote{Standardized coefficients arise if both the response $y$ and the regressors $X$ are normalized to mean zero and variance one -- thus effectively bringing the data down to same order of magnitude.} Type: <<>>= coef(att, std.coefs=T, order.by.pip=F, include.constant=T) @ The standardized coefficients reveal similar importance as discussed above, but one sees that \verb+learning+ actually does not matter much in terms of magnitude. Note that \verb+order.by.pip=F+ represents covariates in their original order. The argument \verb+include.constant=T+ also prints out a (standardized) constant. \subsection{Other Results} Other basic information about the sampling procedure can be obtained via \footnote{Note that the command \texttt{print(att)} is equivalent to \texttt{coef(att); summary(att)}}. <<>>= summary(att) @ It reiterates some of the facts we already know, but adds some additional information such as \verb+Mean no. regressors+, posterior expected model size (cf. section \ref{sec:mpriors}). Finally, let's look into which models actually perform best: The function \verb+topmodels.bma+ prints out binary representations for all models included, but for the sake of illustration let us focus on the best three:\footnote{\texttt{topmodel.bma} results in a matrix in which each row corresponds to a covariate and each column to a model (ordered left-to-right by their PMP). The best three models are therefore in the three leftmost columns resulting from \texttt{topmodel.bma}, which are extracted via index assignment \texttt{[, 1:3]}.} <<>>= topmodels.bma(att)[,1:3] @ \label{topmodcall}We see that the output also includes the posterior model probability for each model.\footnote{To access the PMP for any model, consider the function \texttt{pmpmodel} -- cf. \texttt{help(pmpmodel)} . } The best model, with 29\% posterior model probability,\footnote{The differentiation between \texttt{PMP (Exact)} and \texttt{PMP (MCMC)} is of importance if an MCMC sampler was used -- cf. section \ref{ssec:anavsmcmc} } is the one that only includes \verb+complaints+. However the second best model includes \verb+learning+ in addition and has a PMP of 16\%. Use the command \verb+beta.draws.bma(att)+ to obtain the actual (expected values of) posterior coefficient estimates for each of these models. In order to get a more comprehensive overview over the models, use the command <>= image(att) @ Here, blue color corresponds to a positive coefficient, red to a negative coefficient, and white to non-inclusion (a zero coefficient). On the horizontal axis it shows the best models, scaled by their PMPs. We see again that the best model with most mass only includes \verb+complaints+. Moreover we see that complaints is included in virtually all model mass, and unanimously with a positive coefficient. In contrast, \verb+raises+ is included very little, and its coefficient sign changes according to the model. (Use \verb+image(att,yprop2pip=T)+ for another illustrating variant of this chart.) \section{Model Size and Model Priors}\label{sec:mpriors} Invoking the command \verb+summary(att)+ yielded the important posterior statistic \verb+Mean no. regressors+, the posterior expected model size (i.e. the average number of included regressors), which in our case was $2.11$. Note that the posterior expected model size is equal to the sum of PIPs -- verify via <<>>= sum(coef(att)[,1]) @ This value contrasts with the prior expected model size implictely used in our model sampling: With $2^K$ possible variable combinations, a uniform model prior means a common prior model probability of $p(M_\gamma)=2^{-K}$. However, this implies a prior expected model size of $\sum_{k=0}^K{ {K \choose k} k 2^{-K}}=K/2$. Moreover, since there are more possible models of size 3 than e.g. of size 1 or 5, the uniform model prior puts more mass on intermediate model sizes -- e.g. expecting a model size of $k_\gamma=3$ with ${6 \choose 3} 2^{-K} = 31\%$ probability. In order to examine how far the posterior model size distribution matches up to this prior, type: <>= plotModelsize(att) @ We see that while the model prior implies a symmetric distribution around $K/2=3$, updating it with the data yields a posterior that puts more importance on parsimonious models. In order to illustrate the impact of the uniform model prior assumption, we might consider other popular model priors that allow more freedom in choosing prior expected model size and other factors. \subsection{Binomial Model Prior} The binomial model prior constitutes a simple and popular alternative to the uniform prior we just employed. It starts from the covariates' viewpoint, placing a common and fixed inclusion probability $\theta$ on each regressor. The prior probability of a model of size $k$ is therefore the product of inclusion and exclusion probabilities: $$ p(M_\gamma) = \theta^{k_\gamma} (1-\theta)^{K-k_\gamma} $$ Since expected model size is $\bar{m}= K \theta$, the researcher's prior choice reduces to eliciting a prior expected model size $\bar{m}$ (which defines $\theta$ via the relation $\theta=\bar{m}/K$). Choosing a prior model size of $K/2$ yields $\theta=\frac{1}{2}$ and thus exactly the uniform model prior $p(M_\gamma)=2^{-K}$. Therefore, putting prior model size at a value $<\frac{1}{2}$ tilts the prior distribution toward smaller model sizes and vice versa. For instance, let's impose this fixed inclusion probability prior such that prior model size equals $\bar{m}=2$: Here, the option \verb+user.int=T+ directly prints out the results as from \verb+coef+ and \verb+summary+.\footnote{The command \texttt{g="UIP"} was omitted here since \texttt{bms} sets this by default anyway.} <<>>= att_fixed = bms(attitude, mprior="fixed", mprior.size=2, user.int=T) @ As seen in \verb+Mean no. regressors+, the posterior model size is now $1.61$ which is somewhat smaller than with uniform model priors. Since posterior model size equals the sum of PIPs, many of them have also become smaller than under \verb+att+ But interestingly, the PIP of \verb+complaints+ has remained at near 100\%. \subsection{Custom Prior Inclusion Probabilities} In view of the pervasive impact of \verb+complaints+, one might wonder whether its importance would also remain robust to a greatly unfair prior. For instance, one could define a prior inclusion probability of only $\theta=0.01$ for the \verb+complaints+ while setting a 'standard' prior inclusion probability of $\theta=0.5$ for all other variables. Such a prior might be submitted to \verb+bms+ by assigning a vector of prior inclusion probabilities via its \verb+mprior.size+ argument:\footnote{This implies a prior model size of $\bar{m}= 0.01 + 5 \times 0.5 = 2.51$} <<>>= att_pip = bms(attitude, mprior="pip", mprior.size=c(.01,.5,.5,.5,.5,.5), user.int=F) @ But the results (obtained with \verb+coef(att_pip)+) show that \verb+complaints+ still retains its PIP of near 100\%. Instead, posterior model size decreases (as evidenced in a call to \newline\mbox{\texttt{plotModelsize(att\_pip)}}), and all other variables obtain a far smaller PIP. \subsection{Beta-Binomial Model Priors} Like the uniform prior, the fixed common $\theta$ in the binomial prior centers the mass of of its distribution near the prior model size. A look on the prior model distribution with the following command shows that the prior model size distribution is quite concentrated around its mode. <<>>= plotModelsize(att_fixed) @ This feature is sometimes criticized, in particular by \citet{ls08}: They note that to reflect prior uncertainty about model size, one should rather impose a prior that is less tight around prior expected model size. Therefore, \citet{ls08} propose to put a \emph{hyperprior} on the inclusion probability $\theta$, effectively drawing it from a Beta distribution. In terms of researcher input, this prior again only requires to choose the prior expected model size. However, the resulting prior distribution is considerably less tight and should thus reduce the risk of unintended consequences from imposing a particular prior model size.\footnote{Therefore, the beta-binomial model prior with random theta is implemented as the default choice in \texttt{bms}.} For example, take the beta-binomial prior with prior model size $K/2$\footnote{Note that the arguments here are actually the default values of \texttt{bms}, therefore this command is equivalent to \texttt{att\_random=bms(attitude)}.} -- and compare this to the results from \verb+att+ (which is equivalent to a fixed $\theta$ model prior of prior model size $K/2$.) <>= att_random = bms(attitude, mprior="random", mprior.size=3, user.int=F) plotModelsize(att_random) @ With the beta-binomial specification and prior model size $\bar{m}=K/2$, the model prior is completely flat over model sizes, while the posterior model size turns out to be $1.73$. In terms of coefficient and posterior model size distribution, the results are very similar to those of \verb+att_fixed+, even though the latter approach involved a tighter model prior. Concluding, a decrease of prior importance by the use of the beta-binomial framework supports the results found in \verb+att_fixed+. We can compare the PIPs from the four approaches presented so far with the following command:\footnote{This is equivalent to the command \texttt{plotComp(att, att\_fixed, att\_pip, att\_random)}} <>= plotComp(Uniform=att, Fixed=att_fixed, PIP=att_pip, Random=att_random) @ <>= plotComp(Uniform=att, Fixed=att_fixed, PIP=att_pip, Random=att_random, cex=2) @ Here as well, \verb+att_fixed+ (Fixed) and \verb+att_random+ (Random) display similar results with PIPs plainly smaller than those of \verb+att+ (Uniform). Note that the appendix contains an overview of the built-in model priors available in BMS. Moreover, BMS allows the user to define any custom model prior herself and straightforwardly use it in \texttt{bms} - for examples, check \mbox{\texttt{http://bms.zeugner.eu/custompriors.php}}. Another concept relating to model priors is to keep fixed regressors to be included in every sampled model: Section \ref{ssec:fixreg} provides some examples. \section{MCMC Samplers and More Variables}\label{sec:mcmc} \subsection{MCMC Samplers}\label{ssec:mcmc} With a small number of variables, it is straightforward to enumerate all potential variable combinations to obtain posterior results. For a larger number of covariates, this becomes more time intensive: enumerating all models for 25 covariates takes about 3 hours on a modern PC, and doing a bit more already becomes infeasible: With 50 covariates for instance, there are more than a quadrillion ($\approx 10^{15}$) potential models to consider. % In such a case, MCMC samplers gather results on the most important part of the posterior model distribution and thus approximate it as closely as possible. BMA mostly relies on the Metropolis-Hastings algorithm, which 'walks' through the model space as follows: At step i, the sampler stands at a certain 'current' model $M_i$ with PMP $p(M_i|y,X)$. In step $i+1$ a candidate model $M_j$ is proposed. The sampler switches from the current model to model $M_j$ with probability $p_{i,j}$: $$p_{i,j} = \min(1, p(M_j|y,X)/p(M_i|y,x) )$$ In case model $M_j$ is rejected, the sampler moves to the next step and proposes a new model $M_k$ against $M_i$. In case model $M_j$ is accepted, it becomes the current model and has to survive against further candidate models in the next step. In this manner, the number of times each model is kept will converge to the distribution of posterior model probabilities $p(M_i|y,X)$. In addition to enumerating all models, BMS implements two MCMC samplers that differ in the way they propose candidate models: \begin{itemize} \item \emph{Birth-death sampler} (\verb+bd+): This is the standard model sampler used in most BMA routines. One of the $K$ potential covariates is randomly chosen; if the chosen covariate forms already part of the current model $M_i$, then the candidate model $M_j$ will have the same set of covariates as $M_i$ but for the chosen variable ('dropping' a variable). If the chosen covariate is not contained in $M_i$, then the candidate model will contain all the variables from $M_i$ plus the chosen covariate ('adding' a variable). \item \emph{Reversible-jump sampler} (\verb+rev.jump+): Adapted to BMA by \citet{mad95} this sampler either draws a candidate by the birth-death method with 50\% probability. In the other case (chosen with 50\% probability) a 'swap' is proposed, i.e. the candidate model $M_j$ randomly drops one covariate with respect to $M_i$ and randomly adds one chosen at random from the potential covariates that were not included in model $M_i$. \item \emph{Enumeration} (\verb+enum+): Up to fourteen covariates, complete enumeration of all models is the default option: This means that instead of an approximation by means of the aforementioned MCMC sampling schemes \textit{all} possible models are evaluated. As enumeration becomes quite time-consuming or infeasible for many variables, the default option is \verb+mcmc="bd"+ in case of $K>14$, though enumeration can still be invoked with the command \verb+mcmc="enumerate"+. \end{itemize} The quality of an MCMC approximation to the actual posterior distribution depends on the number of draws the MCMC sampler runs through. In particular, the sampler has to start out from some model\footnote{\texttt{bms} has some simple algorithms implemented to choose 'good' starting models -- consult the option \texttt{start.value} under \texttt{help(bms)} for more information.} that might not be a 'good' one. Hence the first batch of iterations will typically not draw models with high PMPs as the sampler will only after a while converge to spheres of models with the largest marginal likelihoods. Therefore, this first set of iterations (the 'burn-ins') is to be omitted from the computation of results. In \verb+bms+, the argument \verb+burn+ specifies the number of burn-ins, and the argument \verb+iter+ the number of subsequent iterations to be retained. \subsection{An Example: Economic Growth}\label{ssec:fls} In one of the most prominent applications of BMA, \citet{fls:ccg} analyze the importance of 41 explanatory variables on long-term term economic growth in 72 countries by the means of BMA. The data set is built into BMS, a short description is available via \verb+help(datafls)+. They employ a uniform model prior and the birth-death MCMC sampler. Their $g$ prior is set to $g=\max(N,K^2)$, a mechanism such that PMPs asymptotically either behave like the Bayesian information criterion (with $g=N$) or the risk inflation criterion ($g=K^2$) -- in \verb+bms+ this prior is assigned via the argument \verb+g="BRIC"+. Moreover \citet{fls:ccg} employ more than 200 million number of iterations after a substantial number of burn-ins. Since this would take quite a time, the following example reenacts their setting with only 50,000 burn-ins and 100,000 draws and will take about 30 seconds on a modern PC: <>= data(datafls) fls1 = bms(datafls, burn=50000, iter=100000, g="BRIC", mprior="uniform", nmodel=2000, mcmc="bd", user.int=F) @ <>= fls1 = BMS:::.flsresultlist('fls1') @ Before looking at the coefficients, check convergence by invoking the \verb+summary+ command:\label{sumfls1}\footnote{Since MCMC sampling chains are never completely equal, the results presented here might differ from what you get on your machine.} <<>>= summary(fls1) @ Under \verb+Corr PMP+, we find the correlation between iteration counts and analytical PMPs for the 2000 best models (the number 2000 was specified with the \verb+nmodel=2000+ argument). At \Sexpr{summary(fls1)["Corr PMP"]}, this correlation is far from perfect but already indicates a good degree of convergence. For a closer look at convergence between analytical and MCMC PMPs, compare the actual distribution of both concepts: <>= plotConv(fls1) @ The chart presents the best 2,000 models encountered ordered by their analytical PMP (the red line), and plots their MCMC iteration counts (the blue line). For an even closer look, one might just check the corresponding image for just the best 100 models with the following command:\footnote{With \texttt{bma} objects such as \texttt{fls1}, the indexing parentheses \texttt{[]} are used to select subsets of the (ranked) best models retained in the object. For instance, while \texttt{fls1} contains 2,000 models, \texttt{fls1[1:100]} only contains the 100 best models among them. Correspondingly, \texttt{fls1[37]} would only contain the 37th-best model. Cf. \texttt{help('[.bma')}} <>= plotConv(fls1[1:100]) @ \subsection{Analytical vs. MCMC likelihoods}\label{ssec:anavsmcmc} The example above already achieved a decent level of correlation among analytical likelihoods and iteration counts with a comparatively small number of sampling draws. In general, the more complicated the distribution of marginal likelihoods, the more difficulties the sampler will meet before converging to a good approximation of PMPs. The quality of approximation may be inferred from the number of times a model got drawn vs. their actual marginal likelihoods. Partly for this reason, \verb+bms+ retains a pre-specified number of models with the highest PMPs encountered during MCMC sampling, for which PMPs and draw counts are stored. Their respective distributions and their correlation indicate how well the sampler has converged. However, due to RAM limits, the sampling chain can hardly retain more than a few 100,000 of these models. Instead, it computes aggregate statistics on-the-fly, taking iteration counts as model weights. For model convergence and some posterior statistics \verb+bms+ retains only the 'top' (highest PMP) \verb+nmodel+ models it encounters during iteration. Since the time for updating the iteration counts for the 'top' models grows in line with their number, the sampler becomes considerably slower the more 'top' models are to be kept. Still, if they are sufficiently numerous, those best models can already cover most of posterior model mass - in this case it is feasible to base posterior statistics on analytical likelihoods instead of MCMC frequencies, just as in the enumeration case from section \ref{sec:example}. From \verb+bms+ results, the PMPs of 'top' models may be displayed with the command \verb+pmp.bma+. For instance, one could display the PMPs of the best five models for \verb+fls1+ as follows:\footnote{\texttt{pmp.bma} returns a matrix with two columns and one row for each model. Consequently \texttt{pmp.bma(fls1)[1:5,]} extracts the first five rows and all columns of this matrix.} <<>>= pmp.bma(fls1)[1:5,] @ The numbers in the left-hand column represent analytical PMPs (\texttt{PMP (Exact)}) while the right-hand side displays MCMC-based PMPs (\texttt{PMP (MCMC)}). Both decline in roughly the same fashion, however sometimes the values for analytical PMPs differ considerably from the MCMC-based ones. This comes from the fact that MCMC-based PMPs derive from the number of iteration counts, while the 'exact' PMPs are calculated from comparing the analytical likelihoods of the best models -- cf. equation (\ref{eq:bf}).\footnote{In the call to \texttt{topmodels.bma} on page \pageref{topmodcall}, the PMPs under 'MCMC' and analytical ('exact') concepts were equal since 1) enumeration bases both 'top' model calculation and aggregate on-the-fly results on analytical PMPs and 2) because all possible models were retained in the object \texttt{att}.} In order to see the importance of all 'top models' with respect to the full model space, we can thus sum up their MCMC-based PMPs as follows: <<>>= colSums(pmp.bma(fls1)) @ Both columns sum up to the same number and show that in total, the top 2,000 models account for ca. \Sexpr{round(colSums(pmp.bma(fls1))[[2]],2)*100}\% of posterior model mass.\footnote{Note that this share was already provided in column \texttt{\% Topmodels} resulting from the \texttt{summary} command on page \pageref{sumfls1}.} They should thus provide a rough approximation of posterior results that might or might not be better than the MCMC-based results. For this purpose, compare the best 5 covariates in terms of PIP by analytical and MCMC methods: \verb+coef(fls1)+ will display the results based on MCMC counts. <<>>= coef(fls1)[1:5,] @ In contrast, the results based on analytical PMPs will be invoked with the \verb+exact+ argument: <<>>= coef(fls1,exact=TRUE)[1:5,] @ The ordering of covariates in terms of PIP as well as the coefficients are roughly similar. However, the PIPs under \verb+exact = TRUE+ are somewhat larger than with MCMC results. Closer inspection will also show that the analytical results downgrade the PIPs of the worst variables with respect to MCMC-PIPs. This stems from the fact that analytical results do not take into account the many 'bad' models that include 'worse' covariates and are factored into MCMC results. Whether to prefer analytical or MCMC results is a matter of taste -- however the literature prefers coefficients the analytical way: \citet{fls:ccg}, for instance, retain 5,000 models and report results based on them. \subsection{Combining Sampling Chains} The MCMC samplers described in section \ref{ssec:mcmc} need to discard the first batch of draws (the burn-ins) since they start out from some peculiar start model and may reach the altitudes of 'high' PMPs only after many iterations. Here, choosing an appropriate start model may help to speed up convergence. By default \verb+bms+ selects its start model as follows: from the full model\footnote{actually, a model with randomly drawn $\min(K,N-3)$ variables}, all covariates with OLS t-statistics $>0.2$ are kept and included in the start model. Other start models may be assigned outright or chosen according to a similar mechanism (cf. argument \verb+start.value+ in \verb+help(bms)+). However, in order to improve the sampler's convergence to the PMP distribution, one might actually start from several different start models. This could by particularly helpful if the models with high PMPs are clustered in distant 'regions'. For instance, one could set up the \citet{fls:ccg} example above to get iteration chains from different starting values and combine them subsequently. Start e.g. a shorter chain from the null model (the model containing just an intercept), and use the 'reversible jump' MCMC sampler: <>= fls2 = BMS:::.flsresultlist('fls2') @ <>= fls2= bms(datafls, burn=20000, iter=50000, g="BRIC", mprior="uniform", mcmc="rev.jump", start.value=0, user.int=F) @ <>= summary(fls2) @ With \Sexpr{round(cor(pmp.bma(fls2))[2,1],2)}, the correlation between analytical and MCMC PMPs is a bit smaller than the \Sexpr{round(cor(pmp.bma(fls1))[2,1],2)} from the \verb+fls1+ example in section \ref{ssec:anavsmcmc}. However, the results of this sampling run may be combined to yield more iterations and thus a better representation of the PMP distribution. <<>>= fls_combi = c(fls1,fls2) summary(fls_combi) @ With \Sexpr{round(cor(pmp.bma(fls_combi))[2,1],2)}, the PMP correlation from the combined results is broadly better than either of its two constituent chains \verb+fls1+ and \verb+fls2+. Still, the PIPs and coefficients do not change much with respect to \verb+fls1+ -- as evidenced e.g. by \verb+plotComp(fls1, fls_combi, comp="Std Mean")+. \section{Alternative Formulations for Zellner's g Prior}\label{sec:gprior} \subsection{Alternative Fixed g-Priors} Virtually all BMA applications rely on the presented framework with Zellner's $g$ prior, and the bulk of them relies on specifying a fixed $g$. As mentioned in section \ref{ssec:zg}, the value of $g$ corresponds to the degree of prior uncertainty: A low $g$ renders the prior coefficient distribution tight around a zero mean, while a large $g$ implies large prior coefficient variance and thus decreases the importance of the coefficient prior. While some popular default elicitation mechanisms for the $g$ prior (we have seen UIP and BRIC) are quite popular, they are also subject to severe criticism. Some (e.g \citealt{fls:bmp}) advocate a comparatively large $g$ prior to minimize prior impact on the results, stay close to OLS coefficients, and represent the absolute lack of prior knowledge. Others (e.g. \citealt{cic08}) demonstrate that such a large $g$ may not be robust to noise innovations and risks over-fitting -- in particular if the the noise component plays a substantial role in the data. Again others \citep{eichi07} advocate intermediate fixed values for the $g$ priors or present alternative default specifications \citep{liang:mgp}.\footnote{Note however, that $g$ should in general be monotonously increasing in $N$: \citet{fls:bmp} prove that this sufficient for 'consistency', i.e. if there is one single linear model as in equation (\ref{eq:lm}), than its PMP asymptotically reaches 100\% as sample size $N \rightarrow \infty$.} In BMS, any fixed $g$-prior may be specified directly by submitting its value to the \verb+bms+ function argument \verb+g+. For instance, compare the results for the \citet{fls:ccg} setting when a more conservative prior such as $g=5$ is employed (and far too few iterations are performed): <>= fls_g5 = BMS:::.flsresultlist('fls_g5') @ <>= fls_g5 = bms(datafls, burn=20000, iter=50000, g=5, mprior="uniform", user.int=F) @ <>= coef(fls_g5)[1:5,] summary(fls_g5) @ The PIPs and coefficients for the best five covariates are comparable to the results from section \ref{ssec:fls} but considerably smaller, due to a tight shrinkage factor of $\frac{g}{1+g}=\frac{5}{6}$ (cf. section \ref{ssec:zg}). More important, the posterior expected model size \Sexpr{round(sum(coef(fls_g5)[,1]),1)} exceeds that of \verb+fls_combi+ by a large amount. This stems from the less severe size penalty imposed by eliciting a small $g$. Finally, with \Sexpr{round(cor(pmp.bma(fls_g5))[2,1],2)}, the correlation between analytical and MCMC PMPs means that the MCMC sampler has not at all converged yet. \citet{fz:superM} show that the smaller the $g$ prior, the less concentrated is the PMP distribution, and therefore the harder it is for the MCMC sampler to provide a reasonable approximation to the actual PMP distribution. Hence the above command should actually be run with many more iterations in order to achieve meaningful results. \subsection{Model-specific g-Priors} Eliciting a fixed $g$-prior common to all models can be fraught with difficulties and unintended consequences. Several authors have therefore proposed to rely on model-specific priors (cf. \citealt{liang:mgp} for an overview), of which the following allow for closed-form solutions and are implemented in BMS: \begin{itemize} \item Empirical Bayes $g$ -- local (\verb+EBL+): $g_\gamma=arg max_g \; p(y|M_\gamma,X,g)$. Authors such as \citet{george00} or \citet{hansen01} advocate an 'Empirical Bayes' approach by using information contained in the data $(y,X)$ to elicit $g$ via maximum likelihood. This amounts to setting $g_\gamma=\max(0,F^{OLS}_\gamma-1)$ where $F^{OLS}_\gamma$ is the standard OLS F-statistic for model $M_\gamma$. Apart from obvious advantages discussed below, the \verb+EBL+ prior is not so popular since it involves 'peeking' at the data in prior formulation. Moreover, asymptotic 'consistency' of BMA is not guaranteed in this case. \item Hyper-$g$ prior (\verb+hyper+): \citet{liang:mgp} propose putting a hyper-prior $g$; In order to arrive at closed-form solutions, they suggest a Beta prior on the shrinkage factor of the form $\frac{g}{1+g} \sim Beta \left(1, \frac{a}{2}-1 \right)$, where $a$ is a parameter in the range $2 < a \leq 4$. Then, the prior expected value of the shrinkage factor is $E(\frac{g}{1+g})=\frac{2}{a}$. Moreover, setting $a=4$ corresponds to uniform prior distribution of $\frac{g}{1+g}$ over the interval $[0,1]$, while $a \rightarrow 2$ concentrates prior mass very close to unity (thus corresponding to $g\rightarrow \infty$). (\verb+bms+ allows to set $a$ via the argument \verb+g="hyper=x"+, where \verb+x+ denotes the $a$ parameter.) The virtue of the hyper-prior is that it allows for prior assumptions about $g$, but relies on Bayesian updating to adjust it. This limits the risk of unintended consequences on the posterior results, while retaining the theoretical advantages of a fixed $g$. Therefore \citet{fz:superM} prefer the use of hyper-$g$ over other available $g$-prior frameworks. \end{itemize} Both model-specific $g$ priors adapt to the data: The better the signal-to-noise ratio, the closer the (expected) posterior shrinkage factor will be to one, and vice versa. Therefore average statistics on the shrinkage factor offer the interpretation as a 'goodness-of-fit' indicator (\citet{fz:superM} show that both EBL and hyper-$g$ can be interpreted in terms of the OLS F-statistic). Consider, for instance, the \citet{fls:ccg} example under an Empirical Bayes prior: <>= fls_ebl = BMS:::.flsresultlist('fls_ebl') @ <>= fls_ebl = bms(datafls, burn=20000, iter=50000, g="EBL", mprior="uniform", nmodel=1000, user.int=F) @ <<>>= summary(fls_ebl) @ The result \verb+Shrinkage-Stats+ reports a posterior average EBL shrinkage factor of \Sexpr{round(as.numeric(strsplit(summary(fls_ebl)[13],"=")[[1]][[2]]),3)}, which corresponds to a shrinkage factor $\frac{g}{1+g}$ under $g\approx $ \Sexpr{round(1/(1-as.numeric(strsplit(summary(fls_ebl)[13],"=")[[1]][[2]]))-1,-0)}. Consequently, posterior model size is considerably larger than under \verb+fls_combi+, and the sampler has had a harder time to converge, as evidenced in a quite low \verb+Corr PMP+. Both conclusions can also be drawn from performing the \verb+plot(fls_ebl)+ command that combines the \verb+plotModelsize+ and \verb+plotConv+ functions: <>= plot(fls_ebl) @ The upper chart shows that posterior model size distribution remains very close to the model prior; The lower part displays the discord between iteration count frequencies and analytical PMPs. The above results show that using a flexible and model-specific prior on \citet{fls:ccg} data results in rather small posterior estimates of $\frac{g}{1+g}$, thus indicating that the \verb+g="BRIC"+ prior used in \verb+fls_combi+ may be set too far from zero. This interacts with the uniform model prior to concentrate posterior model mass on quite large models. However, imposing a uniform model prior means to expect a model size of $K/2=20.5$, which may seem overblown. Instead, try to impose smaller model size through a corresponding model prior -- e.g. impose a prior model size of 7 as in \citet{bace04}. This can be combined with a hyper-$g$ prior, where the argument \verb+g="hyper=UIP"+ imposes an $a$ parameter such that the prior expected value of $g$ corresponds to the unit information prior ($g=N$).\footnote{This is the default hyper-g prior and may therefore be as well obtained with \texttt{g=\textquotedbl hyper \textquotedbl}. } <>= fls_hyper = BMS:::.flsresultlist('fls_hyper') @ <>= fls_hyper = bms(datafls, burn=20000, iter=50000, g="hyper=UIP", mprior="random", mprior.size=7, nmodel=1000, user.int=F) @ <>= summary(fls_hyper) @ From \verb+Shrinkage-Stats+, posterior expected shrinkage is \Sexpr{round(fls_hyper$gprior.info$shrinkage.moments[[1]],3) }, with rather tight standard deviation bounds. Similar to the EBL case before, the data thus indicates that shrinkage should be rather small (corresponding to a fixed g of $g \approx$ \Sexpr{round(1/(1-as.numeric(fls_hyper$gprior.info$shrinkage.moments[[1]]))-1,-0)}) and not vary too much from its expected value. Since the hyper-g prior induces a proper posterior distribution for the shrinkage factor, it might be helpful to plot its density with the command below. The chart confirms that posterior shrinkage is tightly concentrated above \Sexpr{ round(fls_hyper$gprior.info$shrinkage.moments[[1]]-as.numeric(strsplit(summary(fls_hyper)[13],"=")[[1]][[3]]),2)}. <>= gdensity(fls_hyper) @ While the hyper-g prior had an effect similar to the EBL case \verb+fls_ebl+, the model prior now employed leaves the data more leeway to adjust posterior model size. The results depart from the expected prior model size and point to an intermediate size of ca. \Sexpr{round(sum(estimates.bma(fls_hyper)[,1]),0)}. The focus on smaller models is evidenced by charting the best 1,000 models with the \verb+image+ command: <>= image(fls_hyper) @ In a broad sense, the coefficient results correspond to those of \verb+fls_combi+, at least in expected values. However, the results from \verb+fls_hyper+ were obtained under more sophisticated priors that were specifically designed to avoid unintended influence from prior parameters: By construction, the large shrinkage factor under \verb+fls_combi+ induced a quite small posterior model size of \Sexpr{round(as.numeric(summary(fls_combi)[[1]]),1)} and concentrated posterior mass tightly on the best models encountered (they make up \Sexpr{round(as.numeric(summary(fls_combi)[[8]]),0)}\% of the entire model mass). In contrast, the hyper-g prior employed for \verb+fls_hyper+ indicated a rather low posterior shrinkage factor and consequently resulted in higher posterior model size (\Sexpr{round(as.numeric(summary(fls_hyper)[[1]]),1)}) and less model mass concentration (\Sexpr{round(as.numeric(summary(fls_hyper)[[8]]),0)}\%). \subsection{Posterior Coefficient Densities} In order to compare more than just coefficient expected values, it is advisable to consult the entire posterior distribution of coefficients. For instance, consult the posterior density of the coefficient for \verb+Muslim+, a variable with a PIP of \Sexpr{round(estimates.bma(fls_combi)["Muslim",1],3)*100}\%: The \verb+density+ method produces marginal densities of posterior coefficient distributions and plots them, where the argument \verb+reg+ specifies the variable to be analyzed. <>= density(fls_combi,reg="Muslim") @ We see that the coefficient is neatly above zero, but somewhat skewed. The integral of this density will add up to \Sexpr{round(estimates.bma(fls_combi, exact=T)["Muslim",1],3)}, conforming to the analytical PIP of \verb+Muslim+. The vertical bars correspond to the analytical coefficient conditional on inclusion from \verb+fls_combi+ as in <<>>= coef(fls_combi,exact=T,condi.coef=T)["Muslim",] @ Note that the posterior marginal density is actually a model-weighted mixture of posterior densities for each model and can this be calculated only for the top models contained in \verb+fls_combi+ (here \Sexpr{length(fls_combi[["topmod"]][["lik"]]())}). Now let us compare this density with the results under the hyper-$g$ prior:\footnote{Since for the hyper-$g$ prior, the marginal posterior coefficient distribution derive from quite complicated expressions, executing this command could take a few seconds.} <>= dmuslim=density(fls_hyper,reg="Muslim",addons="Eebl") @ Here, the \verb+addons+ argument assigns the vertical bars to be drawn: the expected conditional coefficient from MCMC (\verb+E+) results should be indicated in contrast to the expected coefficient based on analytical PMPs (\verb+e+). In addition the expected coefficients under the individual models are plotted (\verb+b+) and a legend is included (\verb+l+). The density seems more symmetric than before and the analytical results seem to be only just smaller than what could be expected from MCMC results. Nonetheless, even though \verb+fls_hyper+ and \verb+fls_combi+ applied very different $g$ and model priors, the results for the \verb+Muslim+ covariate are broadly similar: It is unanimously positive, with a conditional expected value somewhat above $0.01$. In fact 95\% of the posterior coefficient mass seems to be concentrated between \Sexpr{round(BMS:::quantile.coef.density(dmuslim,.025),3)} and \Sexpr{round(BMS:::quantile.coef.density(dmuslim,.975),3)}: <<>>= quantile(dmuslim, c(0.025, 0.975)) @ \section{Predictive Densities} Of course, BMA lends itself not only to inference, but also to prediction. The employed 'Bayesian Regression' models naturally give rise to predictive densities, whose mixture yields the BMA predictive density -- a procedure very similar to the coefficient densities explored in the previous section. Let us, for instance, use the information from the first 70 countries contained in \texttt{datafls} to forecast economic growth for the latter two, namely Zambia (identifier \texttt{ZM}) and Zimbabwe (identifier \texttt{ZW}). We then can use the function \texttt{pred.density} on the BMA object \texttt{fcstbma} to form predictions based on the explanatory variables for Zambia and Zimbabwe (which are in \verb+datafls[71:72,]+). <<>>= fcstbma= bms(datafls[1:70,], mprior="uniform", burn=20000, iter=50000, user.int=FALSE) pdens = pred.density(fcstbma, newdata=datafls[71:72,]) @ The resulting object \texttt{pdens} holds the distribution of the forecast for the two countries, conditional on what we know from other countries, and the explanatory data from Zambia and Zimbabwe. The expected value of this growth forecast is very similar to the classical point forecast and can be accessed with \verb+pdens$fit+.\footnote{Note that this is equivalent to \texttt{predict(fcstbma, datafls[71:72, ])} .} Likewise the standard deviations of the predictive distribution correspond to classical standard errors and are returned by \verb+pdens$std.err+. But the predictive density for the growth in e.g. Zimbabwe might be as well visualized with the following command:\footnote{Here, 2 means to plot for the second forecasted observation, in this case \texttt{ZW}, the 72-th row of \texttt{datafls}.} <>= plot(pdens, 2) @ Here, we see that conditional on Zimbabwe's explanatory data, we expect growth to be concentrated around \Sexpr{round(pdens[['fit']][2],2)}. And the actual value in \verb+datafls[72,1]+ with $0.0046$ is not too far off from that prediction. A closer look at both our densities with the function \texttt{quantile} shows that for Zimbabwe, any growth rate between \Sexpr{ round(quantile(pdens,c(.05,.95))[2,1], 2) } and \Sexpr{ round(quantile(pdens,c(.05,.95))[2,2], 2) } is quite likely. <<>>= quantile(pdens, c(0.05, 0.95)) @ For Zambia (\texttt{ZM}), though, the explanatory variables suggest that positive economic growth should be expected. But over our evaluation period, Zambian growth has been even worse than in Zimbabwe (with \Sexpr{ round(datafls[71,1], 2) } as from \verb+datafls["ZM",1]+).\footnote{Note that since \texttt{ZM} is the rowname of the 71-st row of \texttt{datafls}, this is equivalent to calling \texttt{datafls[71, ]}.} Under the predictive density for Zambia, this actual outcome seems quite unlikely. To compare the BMA prediction performs with actual outcomes, we could look e.g. at the forecast error \verb+pdens$fit - datafls[71:72,1]+. However it would be better to take standard errors into account, and even better follow the 'Bayesian way' and evaluate the predictive density of the outcomes as follows: <<>>= pdens$dyf(datafls[71:72,1]) @ The density for Zimbabwe is quite high (similar to the mode of predictive density as seen in the chart above), whereas the one for Zambia is quite low. In order to visualize how bad the forecast for Zambia was, compare a plot of predictive density to the actual outcome, which is situated far to the left. <>= plot(pdens, "ZM", realized.y=datafls["ZM",1]) @ The results for Zambia suggest either that it is an outlier or that our forecast model might not perform that well. One could try out other prior settings or data, and compare the differing models in their joint predictions for Zambia and Zimbabwe (or even more countries). A standard approach to evaluate the goodness of forecasts would be to e.g. look at root mean squared errors. However Bayesians (as e.g \citealt{fls:bmp}) often prefer to look at densities of the outcome variables and combine them in a 'log-predictive score' (LPS). It is defined as follows, where $p(y^f_i | X, y, X^f_i)$ denotes predictive density for $y^f_i$ (Zambian growth) based on the model information $(y, X)$ (the first 70 countries) and the explanatory variables for the forecast observation (Zambian investment, schooling, etc.). $$ - \sum_i \log(p(y^f_i | X, y, X^f_i)) $$ The log-predictive score can be accessed with \verb+lps.bma+. <<>>= lps.bma(pdens, datafls[71:72,1]) @ Note however, that the LPS is only meaningful when comparing different forecast settings. \addcontentsline{toc}{section}{References} \bibliography{bmasmall} %\bibliography{C:/Programme/LatexLibs/bma} \bibliographystyle{apalike} \clearpage \appendix \section{Appendix} \subsection{Available Model Priors -- Synopsis}\label{ssec:mpriorsyn} The following provides an overview over the model priors available in \verb+bms+. Default is \verb+mprior="random"+. For details and examples on built-in priors, consult \verb+help(bms)+. For defining different, custom $g$-priors, consult \verb+help(gprior)+ or \texttt{http://bms.zeugner.eu/custompriors.php}. \subsubsection*{Uniform Model Prior} \begin{itemize} \item \emph{Argument}: \verb+mprior="uniform"+ \item \emph{Parameter}: none \item \emph{Concept}: $p(M_\gamma) \propto 1$ \item \emph{Reference}: none \end{itemize} \subsubsection*{Binomial Model Prior} \begin{itemize} \item \emph{Argument}: \verb+mprior="fixed"+ \item \emph{Parameter} (\verb+mprior.size+): prior model size $\bar{m}$ (scalar); Default is $\bar{m}=K/2$ \item \emph{Concept}: $p(M_\gamma) \propto \left(\frac{\bar{m}}{K}\right)^{k_\gamma} \left(1-\frac{\bar{m}}{K}\right)^{K-k_\gamma}$ \item \emph{Reference}: \citet{bace04} \end{itemize} \subsubsection*{Beta-Binomial Model Prior} \begin{itemize} \item \emph{Argument}: \verb+mprior="random"+ \item \emph{Parameter} (\verb+mprior.size+): prior model size $\bar{m}$ (scalar) \item \emph{Concept}: $p(M_\gamma) \propto \Gamma(1+k_\gamma) \Gamma( \frac{K-m}{m} + K-k_\gamma)$; Default is $\bar{m}=K/2$ \item \emph{Reference}: \citet{ls08} \end{itemize} \subsubsection*{Custom Prior Inclusion Probabilities} \begin{itemize} \item \emph{Argument}: \verb+mprior="pip"+ \item \emph{Parameter} (\verb+mprior.size+): A vector of size $K$, detailing $K$ prior inclusion probabilities $\pi_i$: $0<\pi<1 \; \forall i$ \item \emph{Concept}: $p(M_\gamma) \propto \prod_{i \in \gamma} \pi_i \; \prod_{j \notin \gamma} (1-\pi_j) $ \item \emph{Reference}: none \end{itemize} \subsubsection*{Custom Model Size Prior} \begin{itemize} \item \emph{Argument}: \verb+mprior="customk"+ \item \emph{Parameter} (\verb+mprior.size+): A vector of size $K+1$, detailing prior $\theta_j$ for 0 to K size models: any real >0 admissible \item \emph{Concept}: $p(M_\gamma) \propto \theta_{k_\gamma}$ \item \emph{Reference}: none \end{itemize} \subsection{Available g-Priors -- Synopsis} The following provides an overview over the $g$-priors available in \verb+bms+. Default is \verb+g="UIP"+. For implementation details and examples, consult \verb+help(bms)+. For defining different, custom $g$-priors, consult \verb+help(gprior)+ or \texttt{http://bms.zeugner.eu/custompriors.php}. \subsubsection*{Fixed $g$} \begin{itemize} \item \emph{Argument}: \verb+g=x+ where \verb+x+ is a positive real scalar; \item \emph{Concept}: Fixed $g$ common to all models \item \emph{Reference}: \citet{fls:bmp} \item \emph{Sub-options}: Unit information prior \verb+g="UIP"+ sets $g=N$; \verb+g="BRIC"+ sets $g=\max(N,K^2)$, a combination of BIC and RIC. (Note these two options guarantee asymptotic consistency.) Other options include \verb+g="RIC"+ for $g=K^2$ and \verb+g="HQ"'+ for the Hannan-Quinn setting $g=\log(N)^3$. \end{itemize} \subsubsection*{Empirical Bayes (Local) $g$} \begin{itemize} \item \emph{Argument}: \verb+g="EBL"+ \item \emph{Concept}: Model-specific $g_\gamma$ estimated via maximum likelihood: amounts to $g_\gamma=\max(0,F_\gamma-1)$, where $F_\gamma \equiv \frac{R^2_\gamma (N-1-k_\gamma)}{(1-R^2_\gamma) k_\gamma}$ and $R^2_\gamma$ is the OLS R-squared of model $M_\gamma$. \item \emph{Reference}: \citet{george00}; \citet{liang:mgp} \item \emph{Sub-options}: none \end{itemize} \subsubsection*{Hyper-$g$ prior} \begin{itemize} \item \emph{Argument}: \verb+g="hyper"+ \item \emph{Concept}: A Beta prior on the shrinkage factor with $p(\frac{g}{1+g}) = B(1,\frac{a}{2}-1)$. Parameter $a$ ($2 < a \leq 4$) represents prior beliefs: $a=4$ implies prior shrinkage to be uniformly distributed over $[0,1]$, $a \rightarrow 2$ concentrates mass close to unity. Note that prior expected value of the shrinkage facor is $E(\frac{g}{1+g}) = \frac{2}{a}$. \item \emph{Reference}: \citet{liang:mgp}; \citet{fz:superM} \item \emph{Sub-options}: \verb+g="hyper=x"+ with \verb+x+ defining the parameter $a$ (e.g. \verb+g="hyper=3"+ sets $a=3$). \verb+g="hyper"+ resp. \verb+g="hyper=UIP"+ sets the prior expected shrinkage factor equivalent to the UIP prior $E(\frac{g}{1+g})=\frac{N}{1+N}$; \verb+g="hyper=BRIC"+ sets the prior expected shrinkage factor equivalent to the BRIC prior. Note that the latter two options guarantee asymptotic consistency. \end{itemize} \subsection{'Bayesian Regression' with Zellner's $g$ -- Bayesian Model Selection}\label{ssec:zlm} The linear model presented in section \ref{ssec:zg} using Zellner's $g$ prior is implemented under the function \verb+zlm+. For instance, we might consider the attitude data from section \ref{sec:example} and estimate just the full model containing all 6 variables. For this purpose, first load the built-in data set with the command <<>>= data(attitude) @ The full model is obtained by applying the function \texttt{zlm} on the data set and storing the estimation into \texttt{att\_full}. Zellner's $g$ prior is estimated by the argument \texttt{g} just in the same way as in section \ref{sec:gprior}.\footnote{Likewise, most methods applicable to \texttt{bms}, such as \texttt{density}, \texttt{predict} or \texttt{coef}, work analogously for \texttt{zlm}.} <<>>= att_full = zlm(attitude,g="UIP") @ The results can then be displayed by using e.g. the \verb+summary+ method. <<>>= summary(att_full) @ The results are very similar to those resulting from OLS (which can be obtained via \verb+summary(lm(attitude))+). The less conservative, i.e. the larger $g$ becomes, the closer the results get to OLS. But remember that the full model was not the best model from the BMA application in section \ref{sec:example}. In order to extract the best encountered model, use the function \verb+as.zlm+ to extract this single model for further analysis (with the argument \verb+model+ specifying the rank-order of the model to be extracted). The following command reads the best model from the BMA results in section into the variable \verb+att_best+. <<>>= att_best = as.zlm(att,model=1) summary(att_best) @ As suspected, the best model according to BMA is the on including only \verb+complaints+ and the intercept, as it has the highest log-marginal likelihood (\verb+logLik(att_best)+). In such a way, the command \texttt{as.zlm} can be combined with \texttt{bms} for 'Bayesian Model Selection', i.e. using the model prior and posterior framework to focus on teh model with highest posterior mass. Via the utility \texttt{model.frame}, this best model can be straightforwardly converted into a standard OLS model: <<>>= att_bestlm = lm(model.frame(as.zlm(att))) summary(att_bestlm) @ \subsection{BMA when Keeping a Fixed Set of Regressors}\label{ssec:fixreg} While BMA should usually compare as many models as possible, some considerations might dictate the restriction to a subspace of the $2^K$ models. For complicated settings one might employ a customly designed model prior (cf. section \ref{ssec:mpriorsyn}). The by far most common setting, though, is to keep some regressors fixed in the model setting, and apply Bayesian Model uncertainty only to a subset of regressors. Suppose, for instance, that prior research tells us that any meaningful model for \texttt{attitude} (as in section \ref{sec:example}) must include the variables \texttt{complaints} and \texttt{learning}. The only question is whether the additional four variables matter (which reduces the potential model space to $2^4=16$). We thus sample over these models while keeping \texttt{complaints} and \texttt{learning} as fixed regressors: <<>>= att_learn = bms(attitude,mprior="uniform", fixed.reg=c("complaints", "learning") ) @ The results show that the PIP and the coefficients for the remaining variables increase a bit compared to \texttt{att}. The higher PIPs are related to the fact that the posterior model size (as in \verb+sum(coef(att_learn)[,1])+) is quite larger as under \texttt{att}. This follows naturally from our model prior: putting a uniform prior on all models between parameter size $2$ (the base model) and $6$ (the full model) implies a prior expected model size of $4$ for \texttt{att\_learn} instead of the $3$ for \texttt{att}.\footnote{ The command \texttt{ att\_learn2 = bms(attitude, mprior='fixed', mprior.size=3, fixed.reg=c('complaints', 'learning') ) } produces coefficients that are much more similar to \texttt{att}.} So to achieve comparable results, one needs to take the number of fixed regressors into account when setting the model prior parameter \texttt{mprior.size}. Consider another example: Suppose we would like to sample the importance and coefficients for the cultural dummies in the dataset \texttt{datafls}, conditional on information from the remaining 'hard' variables. This implies keeping 27 fixed regressors, while sampling over the 14 cultural dummies. Since model uncertainty thus applies only to $2^{14}=16,384$ models, we resort to full enumeration of the model space. <<>>= fls_culture = bms(datafls,fixed.reg=c(1,8:16,24,26:41), mprior="random", mprior.size=28, mcmc="enumeration", user.int=F) @ Here, the vector \texttt{c(1,8:16,24,26:41)} denotes the indices of the regressors in \texttt{datafls} to be kept fixed.\footnote{Here, indices start from the first regressor, i.e. they do not take the dependent variable into account. The fixed data used above therefore corresponds to \texttt{datafls[ ,c(1,8:16,24,26:41) $+$ 1]}.} Moreover, we use the beta-binomial ('random') model prior. The prior model size of $30$ embodies our prior expectation that on average $1$ out of the $14$ cultural dummies should be included in the true model. As we only care about those 14 variables, let us just display the results for the 14 variables with the least PIP: <<>>= coef(fls_culture)[28:41, ] @ As before, we find that \texttt{Confucian} (with positive sign) as well as \texttt{Hindu} and \texttt{SubSahara} (negative signs) have the most important impact conditional on 'hard' information. Moreover, the data seems to attribute more importance to cultural dummies as we expectd with our model prior: Comparing prior and posterior model size with the following command shows how much importance is attributed to the dummies. <>= plotModelsize(fls_culture, ksubset=27:41) @ Expected posterior model size is close to \Sexpr{ round(sum(coef(fls_culture)[,1]),0) }, which means that \Sexpr{ round(sum(coef(fls_culture)[,1]),0) -27 } of the cultural dummies should actually be included in a 'true' model. \end{document}BMS/inst/doc/bmsmanual.pdf0000644000176200001440000177136014273172010015103 0ustar liggesusers%PDF-1.5 % 3 0 obj << /Length 2066 /Filter /FlateDecode >> stream xZKs6Wj&d'd'Z%MdICvHP<9HvWoOt6Y"ѣ˛eU1HDjFף?r, |Ub,}VXitFN[{Ap+5gp_ޞ")A.SQ,DRVZ׮Rёk~-?ƹZNwCbDcI>6"֎b'{ a 48Q宗`)o3(]P 0<)> NiȊD:biRfB,lyCKK:ƓnBbe2t'{ՀBhi􋅱IafSne > JqhB']5L!bM`Ao^S޲G9fhe7)A/:]{y(vC'p NU![csOAOc `+{$2"u#ŀENŒRLƱֆ RA5=}i G@Rc\/,ߙ|j_B.E2P60jx+$0o`yDž@tqŕpyT. c+ų@7+ӒhqSvr̋ʂ$=ɀO/\,`]AE_=5bqM]JOg\Ff:Dz ݢ׻dGaL͎TPHBF|3*P}#P?ϸv1\T܃'#zkHƟ 7k-#u @ew Z3nt$_N](C9۴S$*\y 2Ś۵[=`:Mt*f)SHe"axrįGY0|1OFs f̄,&>FE[> 8^H=]}^jj naA9yH"pe:c>_V7is:XĬjx͒Դ'5b7vz foypEuJ}0fMo>-]xnϲ,{E/x$`C|x˭zyxybF6¾a]^S#gP yPmvr"t:&|No4-R<w}mmBx {_ 㽗!)3, ٟt|d;A[r+sd(j+SBF8>Hy1xkaF4Ĥ2iQ /w2Fxʳ;haL!:E۪q^T Q)u @ :@}]VѼk:g8 ^ ÀEz"dD-\ Q'e:z% Vjya1i-oq!|p,# 5Cq90ABBkku]8vK& Dp#7Z$' Q՚2+8&9\5U,X82`Hap1Ez%'@Cޟ[f⑨$S5}XezZv6mhҝ%ߙjMP IUFOŌj੾y x>o"B.ր !!@aE>䝮xuPYc\ O` 08_,#E T c)X*x*Pmfj9]V^N#[08x0S_9LL**U@sU W %wͿ_ն dj1 QԧmYƙ6Nb,PN שCT؃Pu:S }*Lz}]UlRloQ꛹nS+XMrʌGv56 Kzt!~_Av,."+$>b3ֻ`^ꪮ=!n_$NvI pp/O ܍"@_Ӹ!,7k/"p'i*}Â|FM8r1|S$Tt*؃Xzܖ+A;1a>A~؋66&&m )P_kiEx= !;"CH"Kg^o?wFK &5ANJ&Hq Z`Mn.aCgr[Rix4oq ?E邭 XH+`y(J'aH?jO߫AU~toMLpc:YQᷤ֨'I}캤\xMJ01'|>nN3aКgP /%:4QhqٍX XbACptVW^ u{{j D<׾k '0SHpiȿG2!/X":2eP]Zγ3T5:Օo:tF B!k TOJh)t U9+cQV%(>x,_, KW>us"^0]/HCs[G" z*f2;XPLCg~J5~DNV_ڏk0?;fms>*@mlJ趥0\[8I 0=[1TLik7giL}ؚJ!y@EVBq5sJdA0nTa2h%i yXj[*OId$jQ_3X2QZT_\rEq$+5?Ab}{ħЫdԐýC_Z.dY *NA[}Ya,Sz9DŽ CڑJR-ߡgx,÷IP~6Zy]HaҽJ$QX#,-I>ɧQ 7i%i~&|`\P򇐢k@Z$b!aVy-?S*k$(tcRKx]9xӔMgԂJF8تcN%w<‡ih?ġ)XF ]>'m?ruV!>P]>)=%+|Ra HΪِ͍nPm6Yd:= ya^!Q~%Vgtj._EK^WH.(!h5]+-e!(IxNuKDծ)ƙ.yH%RMtu3)=y'@yðZ̗"a5:%7.bGqcpj,,f'GK [ASƒTV SFs5WJ(˴>٘zb2%Uc_nNU*cܳXkt^jm 5mE0q6nFuQMp`#_}(٥ [@ PH;4^K Hyɫ]=tyx3.Hh.t $mx- aZpKq]pȐ} +`O r[y-I!֤Iǡ7iNn?XKGo8l\S,}6y>,qѥ4\cK8m{䇕&,wzCF f睑<O}ѵZ+D}Jc" 0!V%/Ȯz+f4 U);q2 *QHRDV6|q#})#藍~5KcE}椸JaAROݸF_6"luћ&? ~z?~5S8T3??;US{r&x d|FpN_BվRq2^x[Xlmҵ*Cоq`f_4,%#tABt,'{͆.c뺧U`59֓MM0uw RIS\2rx8T 9Yq/J ֦e|]Sql[>h;f?t3Ss ݱ^wXf7oX#6nƂ7W+/08]<-)X2k8vm,|IRSZxvy}+@ NDgp  jowJ[|)s*^aVB(:h; Vs4$sbZ2i&ᭅ:n R+m,)40.$|N QU~BT)FtU4vrm&6fSU,6em>$}9']r(Ġ bǖB\G~ƽd@x|( ޮ`K4?5? endstream endobj 29 0 obj << /Length 5031 /Filter /FlateDecode >> stream x<ْǑ 0Qwew- 7a4Ig`띙uw0 %9κ2yѯ~³Zxr!fB $_YuJ,W+egW=,j%r J{p[{31.Moi^MMoކpha8|qJ;|A LboiG|؏| f8woCu!4#!^c0>e˖#ChgJꚒ@A#a4\°9@A,<.SƑj0bwF;Y@G_x#+ N0aLBݣ/n/Wj\oII)c^Wv@ThES 4(*'Р2-E&]-I] Nj󎞞h;Вbr  hC>lrI>ۄc1 5!`ʛ ;Ml LJ׈w҈#n5 VR!}K&ho2oۧW+3״îd(@KǷeG/wNEicU@h?u\p O&b6}{]1c{":"@u?Lg/v3M6-u_n҈Lygs%ŨT^UM]Qs句"3B7P!4A1IL <81\FئS*-vMup3}p)~T+9"{2|}dJSd%:|x 8YLJTK>!Md:HBQp ́F{\ m'D4hē0 ΙFq;4hRfQ&/=ƑgDs&IUȡMQ^НRSS)^M_b+R#˄H Bz22ժ[A9k 1b%~x8'hrqr,W\Cf6[ ?!.o˴ +3w~GljDŽ͞&`tU*F-c]@Sơ(Ixr"{tg5|]&D#zЗC__y["q,*1̡Ƕa(Nބo!̙@h.C`Li%W$R,%tCVzP (k:{ ӽ d{HQg.FCnRH~Rs:nu\PʢD`wf66H O)EW!8|SfO@=\5R 4: m>SoL̲5X|.bjJ.~s*XZCS,h o:"'YLLPIp07O놈YUױgpu}臌34 ]\yշh ,`n-\|g zE`AB2u6o]z">݀ P)2D9- e9˧Zsk\%7XcbO;8# :]t|0 qTd "gm|H3-~PRQP a|3U,BM8ZalPٔ B`+ uRnu]GIV`N<'6MR$#h^r% ] Wbd.C]*j?"o%_dd|ܯ{0Myܺ)5vp/RNH]ULWڮM*R4ٓheazdSOwuWu'pjìƘ,%`vtL,UFUܰleVB%@xY܁)i;@.5./UZM.T!2.?@UҎ&qC5>6e$uSy3 ܖBxx+H\|d?lS #̡tcN) ҄?:(5ׇC]2FDnr:7g^,:V)E`T)4nL}r^i+ I !t,$\>+'P%5T_p̾o T\E ŰPt0C@Vٿgųp檢U>egm+[{zZ3L,_wc^0$Ʒqc]u8f1 X h(1ed)"|^z^' W'XRa͕U 7VC X%6x3ű: BB!0nk`Pp.2`&c0 J|kt^\l6Ip;04|{q0Nq| ([E!D*/e`M(AI) us9dMf(}R"ju[T-{J̲օ:cmLʶ-&YTSjmod'b2mbjw\]9tuti&B].PLHQA Thgu0U)XDAF7xj/s`>ڀ*[ڈd!"%̈JIAv˙kfFoˁ@kC,ơMC°.bɘƎrߑWE֫?ͽ fo 7W3*8F1Wؔy+]5Wp^1SL/~ *oԊd6TilWvț . Gjy K-L]I7lGegK*ssvAk'^ydβuY cȸfLЏ1yHJgbdx( R U&}p4 [2rZ$xQ2|ۂV]i~RPi6xu?bq”s\ڼw'Ϫ77hM\b}k4+ў6Ql뤵vHDF,:SSC&HY8Q 9@(7 ]3Ft~0"9PX_%`@G\$ª V:Mg4,,ȵy{KgnQv!Xӝ體QK+)f / S!6d9"#dh.ŐF/؎ 2 .2Db8F$ /SIioec7r%!7w$HK=9?ً1w{%R.UWݤl?w:ܦmuy3}!"=7^WNzW)poeUUD3> stream x^zӰǦ#w'#w{|n p ?>=v'ow?T:Fk­JF-pq)޶(Ǟa$p-ZH;D9i^XV 7nuJ@aZ,m:tkc-wM23=~×njҕ¶QRXG(dn/H^&s%65'7 ]Nf(d֣`,T(B&pjYl^-5~G.qոq]ϰp *W@]u$jJ<M+~} uUbM4OHA&SeWոnگ$Ȣ0$s + o"yJu[~MÃ@FtX~~ÊVTT׷Ab{lOapË0˘GiT?%7UJŢ ^2j0Uu))jMM\¾VZl"E :A^&vkigږHtš䧵bf>;ƧF'c 3KeR!aw;Rr-٨B3vo sEy8E'tj(2]NX "j4;xcJj}(w0;2 eэA#L%vTTYͶ#t%hd;I"^mGP!L/F?1o+B1OS7 z> ŭQ.unoz7S!)矅b+qnFx?h*JYI~O??e}jcJJ*jTRҷ|wbֱ{4!cX[kSo=rLn 2(/iQw7 nt| 8%<:Ϗn%)Y!US6qn 8LM0fv)o~!sP|F ~JMk[*W+vnj 2^3]!MlE/ruitUgܫw4<Һ0M3R ? }H!#A  tf!ТeN7JV9RVJy 9p:Os%T0 WFŊq6SIʙ1 JPϥ+b7JYت>wA$p=$F&2+easXjw0nt럮|z0W0OwkȌ-e4cAp(gШ9-wr`V.I05ÎJљJO '{NXI`zƑR;IHW4iBgXJIL=ۍ~9e`v7c'Wi'dcNu^z4$8i8I$~BD3HDZ ̔X/0fםf]+XkjO鷼 a-gՓ#,HcU*uG 'nQͲB=sdJ-\%XAJM, N"K,{& OwVsAE)pTz"Of^ w 8F0Y1iz 9.[hCϙkvAEhZX/ἧʶ}ӀxFբ3)V%Д/Md"/hNS!|(dnfu\Q^q6A 7˗w|Ǭto2SǘlbcMA6e@iFX a`3ơ-Or15qB?9a##DR{"}~ !%ē>%\|>FFU^y:[F(*)cw6n*") ~>rr7PSUPm`:_> Jb!s@s D.WAai?PT&E/IUPTFؤ$S eH&BZ*Tꅥ3\vIj5lR(.HY^Z?~Fg),`&iZ,ݤ.&|>g e IN¾zOT˘ iRzEBE>^L+#RokZ稓!!-5Ck^}կ,Wj4ꦰ]m^j (i##GwX^}_9M$PUfRnn8} ;dOHǕA^\qT5uMUv|G\BF $\8mTnJkK0^(A.L)[-< z'F0tϋUR>Gj,cca@g vG:T__C :aFQ7V<1F#`tQx;b,?Qr۞^ Dϡ+UM/lO=;,ی%#g06nZyT]=}Rr[!9HI&骂`}G<.NpŬC >!$@>޳f Iߋ};폩[ A D8'ؒ}{ &Q ـDeuѧ9ߝHrc 5WӤNh->@j,3PL05j3ЂX:i XҧJwQbLoq*"YLT`ֳAp_P%߉: d&,故j n5"bZ^Յ T6 Uˬ 2]G ʱHa geJW_%;tx]_^M5,K3@(?f1E@f5sT2w y)K֠"dXHl{G2T6owc϶aUlEWZt=ɓ׉",WÖbdi|*vṁ,M<%J~K|dE)~"uպZK2WѴlBԒX :MGEjC5:u$ * GO)b(N8og\!=L9 - [l3a'K_³4b>R@> l[0'Bg3~ A/Gmt<bWy3Խ i3 G(Nc3l NBWgh0h~ITʞ=emK i&INꔰyJ{ ?m"O!·5|>t9K׀-t ߰,qj/@dU"g5JO^&>p[na_t/@o]xX$/ﯱXv |O]p7gGQ1(> stream xڵZYo~ׯ02ߘ\_|ez*O)z&/G7r `2%UUVtŶHNr!jIVEB*C.V6)[rh R5?qA] I3Deൿ3NFjPdX^(!(YqOܞZ#y~L'yiVH"|"\G1D~lsu *xD+2)? ٿe]"LÔV>3+QfZTVj ׸/x"׉S`1T|m9G63[Nޡf Cdxńm͜)T̉gW01bp#7|f#9#o\!ًBHA - {i;FfB9UtmȺ#:d&r!f_c"bЎf]ĥ[,x~,fL%v tH$]6t)Cc.Hh{gp)~LT:j& ꚴ:8W%*6 MwZ~GϟT\vVraPh|w9H>ylPD d/Ki)MZKm zEeSԬzo {8"#YG6jۨS6Z ]A`,C;x>GiiyTEa&J *#ܕF\P.'&[^DL^(黿H2#T)}Zp4Ɉ1Qߎ#}12s9iYhClCՄ7 _xnNlZTHApL|^d!5:m*ѳlqYTzb1j@EdHwy\t]\Y0ȭˢCѲ 遆sfvM=BӋJęt5iμ?Z  8^:'-e6`EK:itZCo"P=?3Tm+[m۳w?|J+Whd|S"_=sIx%3 ܗU q4,5"$bœE 2 0ajSR )J[izޯE,{[ Sv\"sʊPQ@ r ն\%N#:8O ,B 1MWc" 内+WXedWՂ(4j'ÛQK<`|tD7RWA2tuCs fzj`dAEء $">hH`T}O'w8kH(x-YP3ܸ$75X6ԮUd_%A`s%Ԇ!rhI_cP"cU-;-`aAXFkp'%Y/gn,+RᚈzCYVŽbmX3=uJ1e ]p\ .Ճ$$Bx$U$!NjrKEx 9W1ޘ:cwnC_UU>) ; MO_ZdH5 'g^pޣ (s%ۯ1R^MU ՘$MHd*7RI fRT"?#Y| endstream endobj 44 0 obj << /Length 2318 /Filter /FlateDecode >> stream xڭYKoW%oҀsEbFZ&xɑei|&aaϪz~֫ 6Niݬ\e1z뙊u (4e ~׫ &DvygWjBpO+mjYF+nasnD=Akhp ӱozwoEGZD-~z\:ttM=ekڏÑ;7 &oӔKd.5m<#f@#6<@3.9!RB$eL8}"BvU]Z* uwt 8/LWgji"C'!At/40OȘb0Y毳ͭ]K YYԇ:Y/|f,T!Kv kN#nS)ITٞ2L!n ^C&PZ79"!(N~W 6AEr4pSV t6"(0Yçcȷ[]JpjI]I?I)fIeKau\8SԷs0mG)wVcvɇw\8{'FYwL@> hbCr2H`mU)F梛$X6a lBN60)Kr 8n Ƭ_3>RgH{JM2aB缷d\ǬAp0"R 7"aO'3Б]W/TT$7ČS$EX1qG]NUog90\bś3N٠a^^^=O`׌RFl&Fd8$s!hJO?µaMI1P=+GTf'SjI糍^_&IhШ CA oRIHMXe,WcyJ)<6dTGHjqzh)~N]G >$ $8]'/ @;q[j/7Kњ&v\n.JZ1P:U"\ /bUAˊ#M\ hVAnDnB{kݩ F@{؟€iMJ ?jVP(d1"o=Mv+9EкVeu: (OXk7Sʮ6p&$J/r5drdkW^ oo>[C}L.`TKQۊ^i#MΟ=ּf,ᢜ-FKHN ~pyU0tNHQi'_J>t1W۽-Ԃ r "[uթ*˷թPoMfq{D@za"H+ `$.zKKD'ԦWUAc-9D| Dv.M'i 5:6#UȰ op!qBzPXOrg}HO \1qgɀ ukT)DnF@\M/`5iɮg>_q^kOk󐔇-)s. c6=3l#$J09?/BH WNΔEWFŜj,}jB-k[|)(AzlTnEg(L2P`>v f>v}$<\?#4@r kM n푐\ʥEt]zB@jO _$ɭݼpvg{K.?("N\ȑK3/ؤ>gU"iY_ +S3#E5e12ww4=h=߸ endstream endobj 37 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-009.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 45 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 46 0 R/F3 47 0 R>> /ExtGState << >>/ColorSpace << /sRGB 48 0 R >>>> /Length 2038 /Filter /FlateDecode >> stream xZMo6>THQM)@A{lӬ!9J2wiC%I %Mˌ$r@BoR:e|G5# øv HZOcC@=2 C7{I^r9fr O%.& TL$BjxFhMB9ƧF{g=zOɱnJb8Yjt&xu3:%G9Icə 4V oQ54<'(9ʸ4;1$̉NLTA4IAt6'ULkDLǚ38W NA4DFHc@qjtNc$G+AHI[%$%GY1M"%eB4$K&L!ܒYs*'cQp0Q2k (YbC-,L+TuFut@Sř8qY8U>o*"XsXs"Sr`rphYPW<ؖ8)3pb*R5rhl!|ci'klTaUJJ ,v9N[?cgL2MJ Ǵw~R8%/Ix!%S[ sdmRy#%D4R#'=S5*:%Se-`R/GN `cj:rbxSx5A7HɩhX#'B5'hW=h7I*x|N~0 Y8@D_$%:@ƀ7|i $8KEz'y ͞Vkz /NI>/J$Ft!{=OsO ~I^O/ƧgҺ>!=b?YĿoiH,,Ny8 Ns9!ų9:wl8\C;q\< S~8~z߫7ogW+^W"xz׬Pc+,c: (xG͌9t$$Gp>p0  3ű5Cpp0  ` &9]ƃIp8AK8'gh&`)`R"y<1&y89*x0)n }` 8L&5hR|x0)N>^34)hf<%nKܖ8`f`-q[VćI>05HbLۡhewFP&̌cq4 qRq4 $*2;6|V1R0W` endstream endobj 50 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 53 0 obj << /Length 2691 /Filter /FlateDecode >> stream xڽ]oFݿBK( ^p @pmQmNZQvٙ].%N{!I.g{Q3 Li+jfVju=[n/~m|x/yճvÿjp. \^ygͬvvy=S&iо]f?V׮ [kwןy '޲|C  {ܵpu]O-KOi^!uW;s`>2;?_Ta U *paPzˀ#iL|t pi*73H8}2)M"C7l|oA_% 6~A4Q;R=p ƞ@iG m2l4ڡ{w X?5 WD*#jeJ}O$Mq f֐n.I}|<0kz9٭uǖcǥ>(<Q{H@5*N "&2we'*:ޓSNoJ%nl/6-{ =I7I(PO+#6|m(@{T;.Q$X:5߱Jq{$):blhG;nc;XY떝`}RiJ{a"TFh#m[S},tVui~"F!^X4.ShtuŎz ۮTzb_Uڗ`R;A.3.Ke ]7;TIXG3K\=g M3@m\Es/1$1tO"dO1mQ|z+2 |%&dqbP[V9ll|I* O|pi]=; /:'4C뜎ZOy 'Vj9t0sM'HGGl&A T9퟈&]mKɱp TS鵭QYL޸=!Rwh)R=Rb>3 o,>g};3'<[B}5>aRnZp%Sq\.'GR8GK[ad=rD)=ߠ=lx='$ #4ҕIR[#zFeSQ g)?#DNN͟RFHppTػ~(b2FmO2E;p5S:??!۩D rOvPAEs9sAhJ%ИMF}>bZ Pr r~ߕѦvGh\Lt[) ^@ƹ\0ծji.93p*nl DjhKn${食%gTE*!ݦ,r*?&}03.=c2۷&A_|= rU߲[rsЗBshEF`RN 3g)tצ mws/8u*#8/vYL B9j87g9[;iE<p=MF2&D>??P;SC*=ah3'cTc8 NaCܿ766i Z"=NQl`YQuNP2il5uёU|'"G\ h>~OI6DGoL&ZQyahMϔ)1AT_N8`<*=,E- (!Ogǽ(*t~Smj-SIVy"Hyl޳<bIfj49 Z {Z)MWTGQi_8FNTrj˿4Ahؙ1dQe.=gP F_Ӊɥ'~IYsRp!]"H}\ wIgGj.]1H. ~G}4u놫OOpj.e#яLO1qS`~GVfS|CXq{p< fJL28'WÙ aa9U+SZ1& e)Iq(9Qe4303 (X^Y =HX^]"5S@ɌdޓbFĊln:7i)4>fJ́+ןmIlM~[  =\SYN?`_q %6sD:$ #qU*QԹJz᭟/a$/TJ i2~}2Vl}tn⬛M Z0n_ڔmEX9Sv{fnB(C?a]~T]39Ot&~s J؎u2w=k h-[ F U<8$c@, endstream endobj 41 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-011.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 55 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 56 0 R/F3 57 0 R>> /ExtGState << >>/ColorSpace << /sRGB 58 0 R >>>> /Length 981 /Filter /FlateDecode >> stream xWKo7 ϯ{(+zp &[`F. ח4#M0kxQYp}O25|8;тӷ_zoo'L $۷?Od0i" 7S$ ɡg: ~h"|(F۲AgǔN6ٌV %Ȅƪ#g  ?5\џ&RÎk7a%nf[bi7sDŽ™CtomO?}Rh?+ 7qR1`ʰ+yþ,*6ɏԴb5Rbrz4S|1x޻O,lrs -Bq6fTӹh_Oχ<~:HS6q;I1\|||_/ z9qf$. ߁E"Yg_-TlkD;(ҔЇPKKT)#C58$Ti^"畾t BP-TuymɁ0>Gq65\k@a2-P_Mv;g4s .jPS9ꬺ6yym: <]a_siN9,rZjIe--ZHNCPdQ ¨ R.bg hN:v+Dy3 T&*f7^* I Q ¨Cd#XZƣ@4yo:2jS9=JS%d*AikMKu,Z.fvOw5\=?փs{LwH͉ #Ak6JJ v 7mu 4/aX쓖KP.]~ѱTL#8wIWn_`,!:˗޷#w5%ռ՚[+/! endstream endobj 60 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 64 0 obj << /Length 3814 /Filter /FlateDecode >> stream xڽkܶ@=ԫGM.rޮ'dp6w~$#r/^zQgMYۅETΚ^\o/+\5}K,sx{+,\JEU¥ \꫕& :oybv˯r@/ 5qtng:Go}jƷs77gx;>0 VSze+AZWQ[%wpHk3-k`ӄ/ݻVjOd˨%#mX*)ҳ*uCD,ʭu#߈7@zt kwD3&aA`ֽ;~uK\ڻ}#B'{PMCVE /G_8|ى"x6Nd:̶߽o0&8CUx0p}\ *0g dd? 赼 GsXO~ȵQ<Ȁjef*谞+ȡ#IlVWZ伺8b:(4vO>u$zn~M(y#X~qa6MlL&mc"fA%wt`֎#weVQPtr_C 9I'"B) [ xԢͽaFWoDfnג>DB38c(#q1nnNh'U !r@=#CkLQbiu /i<5xoktd3jaJr9 9[.ҌTqvUV';M?w xFe)< }9<7Ͻ?9;RX\>wϰ & ]D|5k2ͼ D(1WȾ%7Ĵ?v-Z0D[W%e!Ii0#џ&@7輻 Bw`h)PSt3m Ye$/L' Wa7׉c !|W$upSqrv.䙸K0vލO\=ܺpp~DBui8/wHFjCùsM9DK~?\Tn2^U+9 "2/1sF*0j)RA1[\Wc6Qi|AzBHEzo'2)CUG~Q+@$. X?:He;TB>*L[ʪ)g k8K=a"遧uF`6$Q.y"d10IBC7buؤn'n_{E-_+n9f~'ZFvV2^8ۿ|vp#i@rC9ͰM1牍U︷Ņ)C8oWxK۱pZ&ExdS-G{̏㠼qWX(?/怈7W`q74ڬ>7YeQmB?;#zG3 M E*jFưS˸{{ؔEd]k>N6tG9ҔDDBU5ʓ3n=5Wp0)Bwlrۉ%?>{yhS{£G阚=BIv]a>Rf?ML[8ż70M9#;I;tYz_w`E pu L~(.y[ߔ)fGqDg-S"6Pz[v u$b =i2FZܧVIh6lJA,%>Uɽsc䬥%-!)݌J?O3`ˏlv>c eP]5\RK*PϵB2.0;$m&{5a& O;td1v_FG?%sؓ {\lGWYnFG.l*ˉa|cZ,"fn'~޵v\S>bNcބU}xd=ŎN=صн_PiVe,rڍnhsmXyF1`A!oq_\E(DL~!nf`S\)ྸk*~aϖdJ^7TvitXŅ/u-YQ!&V/]uht;F@[8)<+Ȋ!*9ɧs })$!Job- )5;:Q%PH endstream endobj 68 0 obj << /Length 1181 /Filter /FlateDecode >> stream xڥVKoFWH"CH{I[9![t#RkWd, >f7;tSZ7+2&d+UPX iK9YxX(i{YPMUl{i[ƚ6ZɶCӦp~a 6[\WwzN&G>+R;AY|GCy:p"{ѭh`T_!X8*8R .(%oB$d!ʙ3P^C^ċh +LS$ۈHkNN=n k*Gqa__;J$'=ܘ1p Get@M8t?3BY9GGRH=)fZgOw/2 Y$lV2cX*1k;<$^ >LbׂbjPOB '{7 3X 20TzS; oN :99ɶqa.JJ0b-Зkw~tC*a/dR-bT )Hh[u-uD8 | ȅh8\Mh;p`ă~Q ZX]\ڹuL"'8$UYLF [>p H҉.I27#):8K}Tn rTPnI>aw,Oſ٩)]QđS:Jyfř*uXg&xn"!5RPܪ {7nMJRa8Oݨy&>)mxii(hMl9I]p<::LyBG[} .μj"̵rgf$:[qSxϱ׋H/__A5bRk~4OE/+Hy~(G?mxk ,L 4@ 5 el3].^p]%NLp*Ν-3x֥Fr -S mwDG,l> /ExtGState << >>/ColorSpace << /sRGB 72 0 R >>>> /Length 997 /Filter /FlateDecode >> stream xWKo7 ϯ{(+zp &[`F. חz4c|"? "?q , ؈ʀg4hth5<7xX=x{(dRІ º}BH^k[HRpxB ZA١y!h` 2F FT@'")0HަU*ڟ)\ޞ$[Sڢhk3ah[5:+ABv!7{; nѿ|G+cypKxVc5fo2>8WA͡ѡ|PP?9T8:[uV~7^+xs8+Rr+jdZqcޡZ3^ٷF#od&v(RWm<,[JjAl> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 77 0 obj << /Length 2633 /Filter /FlateDecode >> stream xYYo~ׯ7Sf_<ۉ'@6F#D{-9f5>2UεgyUץI?Zz˄˳oYySvq ;Fl׋dߝ5*[O-tloH˕yS8؝ຣ|SU殼}Mń;m8:Iw@uӫݯp q:'CT #Ͷ$b,{ L(0./`@0\2ML{`T 'S #u= Kx^DQٿE\{ye܏ڵ֝̏ڊxfΝ)=9-W<1=92H ހ\!rj;,;у X^;QRc >K??=0 N@A:a|pFn\1r>{^PMEp?r 0 IVM bd;Yb@$uKC7 +-۵- Dqd02*"xs(CDj͍ r_z^C`v ݵ,ew4]%'E vi5 ~lެs $-hA<3M 11: p+mȨ8AEOQ{mN:q js^˫ȈVig,qxJb6yrB #6JSDPaXӿ̪ZI$2@bzOUF.hd&Ht4YHz#ݔl ︜%F)vW;b*g:魇F<igE>VX%ď)Ѩ>h$l#T`/KM udr]+cB3H%[ϱΛqz̡+D 9焟J:l(q|gHVܲ`cr;ƐTsZGK;9:N^+?֗>7_y[w/p=U|猽OVL7g3ނ%Y \nm^ 8%fYy7*:)+˝V̀FW#ݰcrOv5],,]Ueڷg:C0J./P4@LO=$7g* T_rGSe f*):qnWY煪Ot;ȷ R^l*Ks]_+m-(vٮ#9]pfq#UZ7i^clBM |;'P0'GFx1:;CMj(/k/s;qazŋT30Q\f\|F Ró>J(,3|b]#VWz:hGۮM1teb'V*5*uد "9-T'Wt]EN[uՠ>1%&5!v~Cwx a*Ɠo_!dˌ!MkͽX +PfS0g%f^ƉOQ,ruX ]ѡ|)ǤuN :ZV9m3K VX],>׃6N},obv> /ExtGState << >>/ColorSpace << /sRGB 81 0 R >>>> /Length 1333 /Filter /FlateDecode >> stream xWM91s+hY-Ү ÈC4PP`$d'b+?WHV>o[MWiV'l):XuV/h2QǤ._5&>(nR@F^,_ȏ[E^$?Τ\:ܩB-?ý~[<٢mVS+[B[L9?%#`NOڂN`NHܳh 7?ED,J段KP[uO:Of2Ŝ]owu_4qMJo<^!1 m??Y} GU.86cx s;FnG|Yיݒվ͸s.BR\MBvE:uH2V!z<smT ד>Cq}J,3Xt*'k@!Jgh-TQE{R~q6{0G;t4CIe<:7=FgT+)1k@4ۺ̂w# h BܹI8I UcE>\DT"s@x\X D5 9e}fFHЀԥs'_n 7Eho&M= 9Tf 'Qqxt|]K2Y=58 !?ҴOlF 9b;-5!儨g&-]~f\sj~xI-^gx]|Po3_m'$B]}|8.#V/1*\FzV*ҷYd <MqG@3;@ b96`GQN wr?7:(|gGxGiYIG9gOF&p$L@P;/fP nvko׫Q,D2]Vn~\(N_JW^~6-6?69X䉵︚0.V33*> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 86 0 obj << /Length 4827 /Filter /FlateDecode >> stream xڭ[[oƕ~_!0;Y"Y܅x&kq(dKI|ε.lfAjNwN^{W]kwqu{a*{V蜿f__VM wC?Tj#[G.{yGF-Z(+oi{ߦ;k )v)ٚ[MҲ+j/Jn|Fɾ9ֵe*חlN܋D; ?ؤQUm-t&В/kVW"aIu:Θ VFAT w_aTB>}tKNǾ,X][Te#%GJT8N<{^md3 W+~TѶ"#ұa^t$xZ~T8'n#1e6Cc8R1ߠ4^<43p{D_-vwۗEն"^VsDVuM{NcUu.\Ps-::*> j7E]t-)*Rѕ@q׊YϪ0YI#4@iZESL5- KhKW<"h@CB1YIP՞ڶ]ag[=Yf݊)z(lCoљ\s~ ¢މX ,NwLPmA{Z\ 57ܜB j=!i&gtq.ێ|- Mu˒7wMTBgr%t9sLtRQTuoM0؜t+-InmQSF*r{ԍZU;Umn<˂"BK5úVS?hs.,ءll=qeQ$l0D 30+يoL(r6|,cHc wiQ]k]d*s-լNj#JҠBLts߱ +P6I!U5N*_@pA#8Wj/g|ϭ(::'[6{~_rK G|s?"K ¶g:^ Y?.;5S@ ߉f.N?bl1P'U_s0RH\ (c@=':jaO?|.#)>6: ƫ1ƥxY]I M|!x}(zX򽾁%˨|E\XR4&t= 4wqa^9DsiTmL| &^R3Gk/dY5(z<|]cʤ_!wxp;Pd% _ %soh{.e>mNf rlxw􏮳PI;/*jׇCÄ#1qG|`cm$^r)$Iד073?*5W}5nY&]T<$Y]EMmm:+SBg2%.FXp)6ӡz? ,]LĤ&U,M,,)+5a0m Q|bikmD=I۝J>MĈ^FzS͒L3*ٝ4kmkQ4jQ T{P,VKvyläZxin+X}{vp{zgY+<ќ#/sAmL ~sCϧr\њ`$TN=G1ߡmWYɖEk;mh2Gƨ\ $,T22Aq:v"9aFGXI! 4L+֚vl<$im-6J¶3z /ToQuK3U'5 5)Zw\8>&RD'ZS8T]8@O`"róD/\',YqRFZb~ŭA\;ľ!c{e" J7'i y B1τ4&A2|û=gL 7] 3_/5/vsm3$oL_6ZQS5WLjCvY',D\㐅ZX( [f"XV2uak;gQ:%b6c_BPCG'zw$~ƛ/95n}Loxg%d+gI'2]E{A@&@‘.mW;G.U9)0Q]f/;t8&ߗiʌI!oqM;j%k6k뎣gEÞ[R: 8\KTU&S紲 N3`Vwzb-T7hK|p,yU(o\S0paQtߓLz]d>\)m@qI|!o2A[WzUX$YW rKg'XDfbԛ*^?¶7 í8hј$x\?Jl-kpRurn]abAzo%̛Zgվν4][6@k!,8P—i^Nˢ5[Uch.%,VCBhq!;oṂPQE=I_/P˓V^'oz~.Ç dǾW~-/^%TFT/I [&C#7+?d-T֨Is9 s];]ޅGXQDK,̾x/T!*V?_INN~g 0yN65\5DY󼉽bf햊5ϳ%,4OlC3lcǤk$A3Z3|>cMHGXg&$oW-7m cj#}uieF/Ȃ >a!ݝGxKSDv"k{')O@4&@)!MW ʙsTMSggB݂"㽿xm]ewԠspO7EW5Xk$$ z;Ne)0eտ'\x*eg~DQѮb"Z Y!U"YY!8vau3ueϔ!cɒO\>3Bn\\ՄPx %rPh=R+2䔓&JO/O3Xjp}6U/Wl] 38'ZSku{um"q#w vKKe#%2_G^_wT$x.m՟pcDWQt٢F-#W]g兹 zm9w`s r*췽z gfӔMѸO} mזFRD%(%dJVeԅ!Cޒ:zs0q^{+.8fM\mQ5-=r9ɀa( 2+9Ƃ]rb eaь/U96:+>.+ PW澏;l0IUM;e8=W'xILc:{t\\$&ٴOaՆYҵ*մPiqo4M\{j?CGlzoҞ»INa~9em1GB]97TpKX;~y7OJ=> stream xڭWKo6WdDIZq ֻZ[>\Iy+JCaKG˳*UmfUYW&Z|\F [  B~y}[f*U>ˍVuQW0~a(hxPލL]A.?Ŭ W,XB؎Q 0ŌJҘ>~̽K[4Oe :*]P+,s[R,D|Cբȱ6}W%DdFUAt Os⸠r0yvű:,$S?rOFf']gtj}W#m%K{#J~ѲFZNk 8)a/+(&JBs[ݾI h<<8 ϺT!8*(0.nW45-$ݖ";0FX wJbLMH#:Ws+R hߒѪ-N]Bc6Ea}XVAj*h=]EtFё7'< mH3MN ӆز^A+[ߋN Zτm##gמ `TNޤy+Oqa>S^EdBf0 7L63lJX3[{TYU 1VNodz?/nQf> 68fjgr*;x35D J.fo`L'yUXF$zҘ(vhzP5rQ!I7̨V hwpeSqB3 rPE\4ո -$dlj02\9~\ƽo$'.es:rƉ/G #& FR i; (D{K ?iF H."<}2"N':?]/ɈmݣJǽi#Ŝ*/1.-;dLgd2`{)2j-[={x.~Wn9Y\?յ{֖*@Zg؃(WW#q3Sw# !o >0tSם KmR_~HZ otQ 'O\G(Z|%,X/!V`-(eK5j[liXz{RFEu˴{>na ez eىZj!iX G񛚢Y1 (]<飑Xd݊_fC%D[ؐ5C/X+ekHs{y4"pY37Lk|>@Ȣ .}W|@RkbZ*?d|t:KjUPSԩ KUQ ;#,Ĩn07Z΋'/w) 17X^q . [:1Us0+mL,\9R23 [E顸X{L)SD[I;;Z΍ܖ9+#^kA@,#r2Вc#, endstream endobj 88 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-021.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 93 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 94 0 R/F3 95 0 R>> /ExtGState << >>/ColorSpace << /sRGB 96 0 R >>>> /Length 16619 /Filter /FlateDecode >> stream xM:v9?bF"ůnj8zgƱ 2-u|$JHQWO[?3ԧS珿ߟ7f;??~Os}Wq]4~ ~>]?z(?gqr~,~ZǧϏр~oi_mnUwW1;]G{}i?.E>w? |\׏Ow%~G-cowjub[76:GloQ[T~wG6#q6؛16wo,˷REUZQjFEwVwOdA318G9>d۰u]@wSn .7׊~q,i~n<|+[TԈoew>ȱ e q_DmZϻuJ|˹Mwߓ1>s'L֏r}5{ոH_Q\~+YvT'ܚ~=Zmi\Ѓͽ+0$j4tpK_Gzb+7~ E墮 V[?:[PmsN`t .zLyM8$[Os݆ۗzO'ÖkTop[Nݸ3@la 5uVQMJ5{Qe-ϭ/as= ?Vw7LZ\> ]ж')YIUJ~x7P}wKxwcA1c`gHɵ?UAOٕͷHF~yYdMP'2kBéSzm!U{ B~ϽFSlMm6{hz҉rnm!%B6^M~QV76.߫׸^G^}ZTXwo:z7q P{O̵mVAShۨk񂌪-ws>vUb8ҷzW|"~]B6qԶm}a"/1K n6=ߓ&ZD]&[)\q_C#$.+'~}~%n!y I<]w45Xe4<ie-ВCATG,[ky/:{g\n rS.yRuoCҧ(ہ=:ut3]wC63}yGg~Ow)amL'>4PfF=d-qqn_SX9e[8;DFW:> B=[]ʣ\hDj`|ny߿}Q yً yU]7ߐz-)S-[9] wU[1OwnnvW}\ǽ%5rz/H\յF:1ܣ \ݢ:7VmoemGF_׻}VϿ{ue_ N~Ӊr1UUw3oVzֻv 0Җjm];Bcfzw҅>!Z{Kk޽m@iGCZQ*li]r+jqG_uHZB-Tpf{,Yi3b/X- /hoyw8[*k; o * _*5],Τž,Wٷvz#ֺwʺ((l Y;pֻg];jk~{U*{}9˺1&͟BYTםhw ZZy@s&lyD4,dWUq}/j`,o/Pdh҉BVU8}Y7;_\ɪ%kZYr$V9?gٸR{:ҏ5b iuUHni} Rߢo}li󗳴WHC9}9.=UBZu+Y ^J'O-}TN g:+u]YZWB1pV gupV:T83 ͬ+gqap֛1knI*Uﯞl/ r6ʺr5G7F4UE3m~>(@Yѣt(^eUYoV/=0VY=c\u 7º$,7ݣSG܌-컿V> {.j +uXXGlէ aG[ao=F':ƺzT_ z1(,Gf5h ¾u5y{P$,.I)D;a#N`O?VKFȴcX80Ūu vmVUo .UŶ_$,Qb\ևIX/\7tdC #p+m>[ئn1NasNl a aew;[؆G[-:> zp'+ 4ka%{C ~{ u-o!-N-l|#=[ضe6 a}Fbf$nd]6va'aG 9tJaӧ+a4&!M'Hbz3v+:ZXV'aH[ztoamJW ˊ¾[au;_u>R֖u- ֿi5<KGiﳮ6EK݇(-gCX#N#Oh;nc~u!]²daha}KۖauqgCXƀ/r]qw=%F_Fi5 jc@X8G)쀰:ZXª!"cTv>ူ2e:%VlHتV]_ R?Pcrlc=OP֕Go&NeY7LWejcqPֿ݌.veowz) >ltq>RW6یN!b(nlen (+)cR`(z>Pm:8YV] e1{)Wb':څ' xN(pBYGV׆u] 4=GSO8U&:CPVu5NyvgtĔzXzϻةa'nX έ컃P6vJcJ e]+֥bX cӗ;[w!N/Swt{XV6oa?a]E퉑ә auI;6U6[uoeƌ\eQjc 6} a166ƦOs;!.A1Nbiav.yma}]VUKm,yaUKN؅6V{AXfk ]XbAX]9)6+\[X-ºbW= ,U]'=[V%aq'>֓!ҔkRSj:rpuBX]Vªi[x悰gu>^& h߳إa'ZKӞ maݟK¢ZX&a%ajawkzHt=]1ŖK->F;w61O)-6yGJ%CXo Nq:B  D ʑ[@],obNqB ]ު'?o LOcGOU'aeΛXч.j qi 숳:P-,Om۝N3+ia띌S. ;)0OO;.17CV}-*9Zv CXk{`'{ M|5=WC4qVrp6ָFpk }4>\X[hbu0V c]Vmc]7ՙtX]4{Ọc'FMl*Ml`y~>S]U0݂r7;7t'MlѧՕ@1YiǁI線XO+ LOv@q`6ƪsVn &Lӫ& a)EM^t*~ڨ/=J悛XvMl`{GCG({NO>q`K݂r6p?:' X\'&Ml9- a[طN`mm䉄>]-lէ-<= \+<[>T^.7gBX31{ڬOB s1pWW*a6a_.N-s< >Eɏnbq<ָR_偰:Z!lz<ѽtz';KubA>Y`zj ͝!;}zΛzz@\+5X z3i/Y-쥒Wjby0¾0ntuEzt?U7eO9ܦ4KK9K{$,Kf<+Os=4sv3]1 v!&;֪AXBS'R6ݏNκF0J;mNa)l Rk aLuJq ;4J\ۑ7 t]9_V 1S4:=]dZXv̀::8u589` 󓋡n uy|u[@ l 8S܍% v-Θe=l;N|I=NuY)T {JXu':FlaF dE!aqgC%O+|t,|̟,j)aY9VS>yQ8ΖKd_ -<[)aYugxBXBL%ijs S-,/FBX0IUeBX\ә L ,><[ةӕƮ*,aҩ.q'+Ϙ;)YuO}/Kd0˧ YVtAۑjK%X#uî-jNqiAXSRMb-j 룿{u:-|XsQ6aO/tZpXam?tNтvuDflr6:=pw/Ņb ;5ځ_~ Nc3O ,Ot/y|:޷s ŹMK<<oq|ZߣQ_wut``zxX&&> w*kN$,>ӠS`<,w.q`zM^O~3|;a]ceIX8NbiaLwz$,nl)4_6ptnHXn3-p]w״5[{} |J38T[-KI|6CX*[b``ME`-Z;:: ͷ>w[haKd%> NL']97w'W=]Kf‡Y'T}Q,}t}tK `.wGM{X`/+k=F1 FqX6N= \U² Mo'U`=l.ΗW״4'gˎQZ.q`fa˕'w,* :rE]b<+|5m*laKeS80}6 [ǩEr#+'T}w1K8Tɢg`M>'B8Y}[KoZX\rKw8XZ~3pW m\$ѧ:'BX–_Le(q`na)lѠZ- trno},u}yyn@`z[z [%,:=lx3U6A'Z5Tt8KXn$BX u^Ӯu n@\W{G-̯i+g [W~3;%CXWڏlaut`%|RyFH ,iFJ Hܜ.yJ.!{J^(pgw K#a]J9[e{:c-\yC.[G-,Ϋrt:0=j LN-Sg 38]BXA>M{=p/=fa_H ,ONe]IXO.җE9F+di:[g嗴ktJ7M-,n;;50\mgaաq|c;'0= ¶;/a[;UG-u/60 j~,0M L/iUk6}9 \i=%X`mgem,l;m3PEY`w>gd`B Bk5/ۙv_}wXS?ªWз2~/XaguK54<=0Mp}ܬ'yNpA:){˳y˻{iltK>>ll|瓻0F]}boiS_vjb/az MZc>>]:<=0 fw>sqs1]s3 (ǣq6C7fIJrj~,0ϢRQ`z#gxHX\M8ەjyl`5>1y; l'*p{~30քNIXZˁL0|qJ&g;&'-[&_N|֘ꔏ5[v: ]X|#<[Y)3 \eO^g7RG^͖.7RKyGSNla9L&chy?{XC۟\n}T!K'lFuͿHL_^@4Uܿ| ʷ [P (| 0t~}GD}@ t/ݟ'"c~׿Wӿ?~~ϟ?%/~r&fԍO8_#zhTmGO-? _6ݺ_}q8Dqi;m[>Gqܱ&%B>q8{\oFo0ΏcL8A:;Yq1>oq?8 8$Ǎqǃq&l#^'o8x>㎧8xb:>]58Kǽ;oofqDz)8nDNqܕӈ";VǭjdQN #lqO~<Fy;ڬ@s1W ">Ec3xljܷƑsMnfvߛ]AÔv^8;.Gܑtvr9JT⼩ff*b~6&SZc44 U0dn3s'Μɴ lx= cީ ajsO"3 Q2t1)X ;Esߟ7[ ~p75Z LNw@7"!,f*{;Bث0f iO);?(hBQt+/1݅[x`Ğ;htvM{B!\euºIaM12$xnu3WNCUb>HFv_h5Z!{c({yC/X ;60NEa/*ډnH-1>_~xt2 ~h`O#at1! xXGn7[iv/nP`DM^l*t}ڽxMbfdU"x:{K{dN/YsD˖nQF,9^#B)/`a? Ƌ#^\nqAl"{ao'r:Z^uuw-;١<"ºcוݕÌ3b1x,ˬxyeu70;a٫)!⯦Tf$6DIF~CCLI FD;.Ì}'G"rRYGQ4k\)1ݍ #;&bYPjM!ݍ63VHwS·2B|vQ> $||n"|ޠgL2N>}HeTHthpkdt>D:dtglX"]TĹ*j͈^!h¾woAȊFHmsY8gJU|n,~)pӶs~?B^s0UV%.+g+VБύEV>w '!\œ QX sEUuQ.n2{ aWIĪO' #Q!2&.3²lx-s6#VЯqm.C e9u;-uGaBds㚃lJ\{lnvΙͽxln3;^0֧ck8'͝{e6w¶W'a3y!?+;cs|@d{) t2[Fk]Qʯq^͸EJh.QHo' a2[+!׭{aoHk?+;.`یbRL9M|AG,7Gh}g,wBYfD, 4@ r/޶3E^lSx@B,7VYRfR~ѦT!R"BYTv{A,7Y(е:TU)hXEa˝K U3;#:1r/v_r>Df܋*rKzXE]V2LbFQfF˽;_4^lR˽CXn"27dg,wBPgol\ -,c[Ir/#,x@)r; Y܁5pEb,RւGXN2h˝)"1s^9GXaqz$fXFd,r'w!$,:M!2/YS!,M!,M¢s$,:Mٴ<󰵴4.8$dBCH5) 4%)4WQrO>S,QF2H )洕|$\TS 7M)F rSڊn1ϊN6XGr7VTAg 1 4`Pܓjo6V5" ASdf"GG)׈UЯc,#nb(4NxCFf-D7z u|Xxb''Z+{%¢.aa1%!,n-u7eE;%!,Z.aBlEK%@HBk aaL DHX#u6b/BXKX5BX#5BX]6Q>KX#EKX#}J!ag@,7f0X>Ð3 C4X5˄x} ݈Px}ԈX}3rgHMfC3>@#P\ X{;K DۂB1ʍCj NsC(wFC+h j-x#4>曈UAxň 4"2=Ɖb2#2~џ!lB,`Ċ*F`bb-%)aa*/aָP5BX#EvJX#5BX@O .Fk ^v r-NDڊcPCCG(wB&"5BXc(a%aa=dr$,s%!,Ɛ5bnCX#u7EwzIX5BXt5emD Fr !,% 4!,% v"5BX#qߎGz)㗡Ӫ {8 %,# dƯגF; a?ݝmr'F g k+PawG/JX$;aavʝk!,r. kFmFKFkF{IX#5BX#e5BX5BX#"5BX#e`%JX#5BX# !,Qbvr2\ǻBS 2[aNUb[!,o kd&7ЉBkFɝ%!{DkH@ Dg' {{+er'HFMTbV&wB#>q엔Ber@[yfFK 1Z9v.dĂ*gf Fo7>qpUu ҡLn!@221TB"M׽$b}#TA˭_\ g0b $+ЈXPň%NȈFDb(CH[7NZ›˻@2Bfr'Ă*׽iLn#T1@,b D9H3~fr!!wV&wB;:>hDkD kFk,ֈ#(aaa,j墔mzFkFK&BX#g0BX#5BX5BX#cNU!frgFkD<Qer'Fk{AF kD<":JX#5BX5B=L33BX#EZD %ɝ!,(n/&Dyfx `RFKTįFdgQ37ۈe a"̈_#G2@oBDbyfD#b|8nLa"OmDڊF,m@ {) ) W.JK) !,. kD kF.?BX#fr!u`?FFU/ kFkdڊpE! ;Ln!52LPEIX5332PaiaG2BX#52(av? g&wFkFKFkVgQ, 2Z!Bfr YT3$!)p| K90g7L3m3"RX!RX!RXRX!uD75BX#%J='A !!q$^BX#5B=B !,Q!Na(aq8{2BX#5B=6BXaaa7ۈP#5BX#5BX34Ln#5"aX$!"z֙FD!,Q! )EB T& ) )y#a[1BX#5BX#%J=D !HFkD kFklq5sQX!,%!,Q~ 5B=OF !%"R(1aaau؞xBgr3YY!!EA=GF kFkFk\( k,ρaLn#ZX!v`B {), ) {9pEQ} r& ) YE)Ha]D& !$a(frgFKtz`[BX#%JX#5BXc{gQE #aL BX#5BX[=gf kY< 7FkFk{fu.>02[aaHn=ρVہ>fbZX!RX!\)- )YEYXvǁ), #RX!RX!ZXa>@ +D +B +ē #ZX!RX!yrQVXƁO=G;nZHߢ9?ۿ#|vŸ N_8#_|b3Sc79V@6 Wmljw);|bD9_7/I o9  endstream endobj 98 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 101 0 obj << /Length 2468 /Filter /FlateDecode >> stream xڕYKoHW9,0`g29pCYR?l6)ړ!UU_U*?2֧+j=\yUUX4eOz(V:^:5Ѣx!/VƤu>l<-n9IdY|M^sjkl:Cz%?^h4.m4@+;^m)wx??xҺ(=w88?z Id6t[|[ fmd8+lq S[ꑆ贸&̙Laeѫey6)$݈!t=s{Kz4O>A#|>f<2)uP/gK-IvZ=N_&:b:}(BDŽvǚu"sjY 5 F3˺>q;r{tV}|G_ܲ_pM hMa{,O8 W if&LRʾ9Țf4kڎJKŵ, MẈ-0l'56*t1X4d>縉Sz=|-;\2>ʎ7$Dlb~8:bDd"NB!K/k'GK-Xa NF5H)H4h\=9:I2e;V 󳋱frN6UKKlTh ATqieTkcXe Qb>r?ӽSSXf Y* <6QB (> 9vi\H^E|U"dtlF 'ns -(KRSp܆1 D[Ʉ@OȳٱJ'hyo7wjR" ѐGN'jz{9AvUL̷.U7RW{W! XA H6 zvyeGPlU1UM FӨe\zXai]a4_a^`T=ߡLG1wlƶY) 4!B@© 1ɫQ95^IMN89<# WBR.ybm*Um9R)}~ Af'Ӛf]\BOu61dI>w1il)3Ố%?Ɉ(62˺|e&&.W:|.y1\Y8FjiF8Wvj׬@u`ErED $sf*֐|NxpNhy֐}wRۜau?|AlBKƶ "hT4|4\-T;j+! z!p3mGAwwgaxX}E]զ(yE3pb"^\yv 'AzaI5a r4=~ qV rodT-n%+w#lgYCR<2zQpolØ+'W<BL'P%S LTPiCQ44 ;?FrUYȦCxg#uo8g6ͼ*ZQW_X!kTQrCȢ`g 4UCx/ش:r8gx0 Hg\%n4r 3%OX|j0]pQT̕'!iQeZW Qk91-y M{9,(Ԛ ě'wfuY xYAlShA%4ϽaFS1h>K'T#˂N"u:QBX<(F{2X.XF>siD%kih,|Bɒ&ُ^#ߚ Age)ޣ,D?ujx6I]d́ЩQVCno"MV/Vul2_@$,f-Dd-?gO 6<{tJS>cTĬ0LTyvqv^~`P^!Ft{D:\ FBLQ.[뵉VA39`Dg&ym - y>܏){JrG.Ic>5L#OY+7&/_U aɠlVl=^.'0N/ _ endstream endobj 89 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-022.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 103 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 104 0 R/F3 105 0 R>> /ExtGState << >>/ColorSpace << /sRGB 106 0 R >>>> /Length 1961 /Filter /FlateDecode >> stream xKo^߯RZ%.#E pj]Y$ؐ#D2s!H?tůx9ÙpEE~!|.e [鯏w) tٱտNї{'StS >w}jѷRJ5ԲQ/$wwjGP=T\Ke})r'[uf9B #d#D6:&.c {JW)`<{.ͺ]LWYXe=%Mt]"5=2?uz$e9vUtCgW|ý[е!/pcY_0{ f|h.%J| el͗(H,ch.{nP!ؑ-~6 Ns]}~=>#`',HAtIT3^5chWH|'HN D]?pûcփsu4dAޫ6+0 -;9>[w a$%m I$_T]n:!ԡIOe 1 sTl\Ҿ2iJD8sP>zNy"7Y!ia ĕ Šeoދ5O3 P* qNym4)\W"-섙 aEk tB5Qtѹ6"ؒ{p-!Ƒs*s`ݤtC*TW Y_BT s|cLr<PYKF.XBC^9eԟa CnYWqTz993s ?D;0'3];B7+T޹7_ ‰IGa۸c\4Mq˓:naƜ<w { "A7Et7O__cZ:g16N3sB]~~bsόk1Wk"kɚ'/ȯ5ʯ*6WRǸ5N5c65;Un*׸go]/T5y$|x_]U WsVz:{=[[_ G#h%*ܵ2sACErʄZv˅rN֊-u)E[wL-ןh3f~$\?^to>?w%_/>|pxyuxZl'EX/q߬HgSl__vo/iԤ~??6?Q endstream endobj 108 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 111 0 obj << /Length 3884 /Filter /FlateDecode >> stream xɒ5*FoXTرRqJ' f[ II\o}o ;(nfόgYj<6yJ/Ozb49|Fꆾp6~X?Y1,> j2]x3e/׮y!,_~]roYծdn`\ 8?^z n;;hb͏PL;lYHkC|ŽK([Gk"vC ?}K;Cqk\YwAN-~C'Q U潇IqO$$3_d7O]fsdEet9D<᩻{j#"@09SnK9SͱWs/ 6Ve1Ɯ 6S FP*7BR*mZ1rn;4uЀX"X#,< f _¬wݧk[Xl8|B6-"#X:L9Km )cH oPmڙtʭA'dn1 MHW-7.n|Eo]c`"XIPG}Óu7C+r di^8n 51[ ca=#a YAϴpE0._#.uŭq\o@1 C%^F:{0Ɍinq'Ir~~lc]1{ȆoR#W7q ,(t8~d@dpV93q5gf!˲ YY^3U g|d[݈v`N@Onvu/肹l43(׼ṅI3 9W󧎡 or-*Q+Wƭ>%%<`d<^xGƖ+NXoQB$sOI6Nxf8{TQ̃y߱\MդUUf&2w/M{n Cd^@!A:$* L;W3h]m@?r kC*NBv,0N.B5)-HG< 1,'jM?r؄n;&%.ny3Œ``P٣xjStkXv%YPvRSf)%v +x1.3@);fuһsEsBG1BgqOË(ŏw%#m W/ytaz#B^#ԅMd~XOo㋢5ʩO*G4d6)5Z^ գ 7UKv^8$kE ;\AY%oT܂MK!P0Slh7鹦Ƽ{oɺ+[0s*ǴǑEj֫ !Ab󜴙A[ j>u*an5 D<14m>=4v $R}%4i0Td_x75 5sMbD32QS!3;72Oe[d`wYg MĂs0sEƕ2e~n$.:1 $X|Htr 2L߳2J2+X& I.7dI WՉkSzUFCRs r`+.;:`JuGb8Lآ>YU@hAD(0A=1:`|6ENЍUhJ+ goSfָ2+˴ k61}^=:pz*?8ZgofĶdrX=h]ͶBU3O ,OrTQX0]Y]lp!XJ3(5EI(v7CGro $=ݧ!`n磮C$^HÃ-R/`(6F1K'AA_y^jQXFܐqo"2PIT='0(?Qe^{=li뮃 i-vgC $I P=ݠ?Hw f\_5LJb؟glǻ P̌X e_h|fnIs`.6;]GĞ7f=ώE8c^ yBXL\Ună`r %@ Gw:ڛD/,&D\XD}ia F4C| #GTͭ$v!mXڬ >I2AE#aUAܟԢ\I5aMt#0~n4LCˬydG[Q&M*tS"eA5mL)|C}2;9UIXVl8MQJ0[A|!(?ƦiAFc,&!N)tCcFn ya VUnyS.0277̪'Y>v0{hki݉{4$y]ddLd2+Zgrd{['\+΄6fśmb=-90Z["$_{(Pgs[zdA?-AȐ/NPlL!H`S T!Zіjk׷|c4PD?4JS/Y⫏Ѽv%@Ս WFdg-2o|aח'rؗԺa].> stream x[o` 1_)R vkyn6@8Q'Fw:8;GN?5E?PGrg^x(*baOIvp<[b=3w™ETEc?fKʴ>3Ո{vȞ\Y,vEV˷g 5/_ R:lQډH>p&&)MآPtOTgX$˵ݢ\rYߐߐރ.L-H/iA=j\u2Ui7iRe23/:{E 7phY7DU35ա;%Z2|G&2 ZQOihQFcefZR~=|GPt94KeV.X(PdHFC~Lb*6}[yFPZS~Wf6(#{Cc5$23_6e|EerYbzdToߑſۺ |!CeK6 J@?Rvk%'lHr-,J>UV|zĿZۯzŭmF|dXLtPPBFު!ac9uhlZ#e+oS6yT%gRtQUD Fu/n5Wu5ſjPe$/ܡL ώ:IW<Ѐ>sIZ0nԳVb"V=!Y._ytUW<|ZDdՎvK]l9 T6;ˌǡ˟qJB 1XxN2$q-xp8F2w{ĺ]]Fћ2hǟT4UhħsMQȌN  5qG~ UscQݭ([M#{LqAĮ/K̶ډXa E?C܊({&9 a-HCz,D1\~Knϊ%<~+}Xf{5 )ٹ(FT>[]d=-bՔo%,x+q[#+O)ㆅ|U?8QZNdȧ1rGU|>hBLdu;3*m>XET$~DUPzW4lptͺ9EVnIJA%z>Na"S Ŕ:.%~1Y2V"|PBjm36/ޯGMVOL8ShMet9oE@}•gDb s *Z:Gp>$+dLcw: Roi!yTj, b8! 5w$XePlĀ AeDtfbP6ŝ $6kLvZ =NU̗ ;B$ك*ܸ9vn}JYN*BbE\vP).A5٠*oSod1Y'Q/[ DP<n008pLn"J3]A{Ԡh'< e+˙1G!/n&&e1b{6MU4UI/Jx+.CxN$4m#>& ޱ.-wGkd+v݀eV@'ji$f ^j^pGM|c㫐mt[ߑ4y OAckWG h[ 5->iW)HA*k?;x! )mEoH8 ,hl>*׵b1Πq4eܠ27$.ڕA5@Lj$۹7%ªzH >)L!G2F' @Hr c|ߞe%st# RhF8v$nz&Cfani6Z'ٰ3b26s0fE2~#5c,y~r/EQ[*|p:"!즉ZA 8vo3(ϋNBV{`:ZmRO4#?!xNLW G3"M2S<J~U0//ރ}&:7=OeTW %'F;Erlت7Z7ҤD5Z=.R =10 ҏ/UK,T[H]!X$,Lo= endstream endobj 117 0 obj << /Length 5122 /Filter /FlateDecode >> stream xڭrSiwԃxu5rKP/i2q! ه̅G`|ɀR)6p)llDRNRr$ UgN|<zk厠&eH(.1~|1bIӼ^RVSԩU5L2a',3'\Q1MHNg`=uH1uN eE#}qHbcFSS?2\q|32?W"Q!kDT^k:ɗqzFf'Fd״ݯ.Ahr\6s+mWINe;oJH(ӽJCj3z d1[~cL-*HUm=EU=EzzRGkZSYSO ^ 2(Q`aJLa ) -³5tZf5ϼ*V~]!ru ɘ-EkSCf+! lBmd?&?݋}wr&1y!=m{žZڌN*l|Jܞ#}TW.B܆bUJC$:na4$DC? _'G&1A8P!VrL{^tu35ѼY'>.=n!c21ޓXߩN+آ[mY Zy-!_tZHo~t B;B.昐mIg$㝲#?f~?얓Ws[%w_>!B&R"n<quut{%>F okx^}gqjaZW)PiV0Ylv~^\B#` T2Uvٿ?{, o4/~_Z_ik>փ8 ajմ˝gk ǮL#ũmy1P&(J/B 73$F.;q%QZ\{b-E;&͠H6d&~{L#L9:M΍ XQRVchCtن@N]ݨ Df!)ѣ)+|H3=HL~-!Yl|GᄽmcpW,z7#@t2d`RF\kJJ4vglJZz p `rBjtZ$yh[Iӌj}f7fu? B r:종i:3"99igzI :^J ^mwfiڞ}8zZIsg8[l]f ӑPD9?4ρi4enMz'Rgc)(]Cdt购L˻Դ4Ibwx=nۥvC|](nߐs+!A|bUU54@wX!5B(,o&>KEU^jOT``76yx./ɬ99 <__)A'G/=Rc^đ >E+6 nAaB1^leiMx2ې̾bI |yE eߕJ|*:c] "*%cyMzY%Ze U4։U]}PҧØT.!vbJ ܚGP2I";u 3`" 1]a)Cϼ@ uOa|Y,V~pj}gSh.vF-~_J4JGFC'bt`|,,otM]]&ޗKzt.@&+9 AZç5~_n?gtt -=z;"fv^`Mi!vJ-=d{B)TׄyH/ Ds"\'rTay9:t)XmKW9 _`8/>{ i~IlnZqAx烲Ҳa+~yJW3GhT8mPP`Qu9{ȂWy!7J_WmOXa w~͝bA?Ӂn҂-٥A.&{DT;QuX%7+,Hj 6Lޣ-J="A9WMڿ # ZQA|.ԫ2 U~Qd+OGIh^(V &8fց(Lk*wViF0? +ox=01r cm\. ~2)T7`Hy[16ܲ)]qymHle 9#ƨ𑟀M1).Z]^dIU[Bc1+8~Ԉ]7Fw>f b嘅4IAu"Q9L-[l鈸fDŽkR?EVMIB=^831=xS)v؛|`Q Z>[I|#ج^^':dWm־**+vAY1>gm_*O#LMMe o}qdI]*|G>tbj5rYevD'۵dLՕj}dO~%QB`S>tyyο9}lI$>lژ[Bh5,gKTVfDy%q*0{kK\faz?˺a:hӚ{*XG'(!Z=jYph6;4H,fO0O6O<![aj1xAgx=gFnVdTgf$-U0i5X A\Ayi=eVD#Da5fk/ۀ␒hIa.zD`-W@E[RSzl*(8J6t[gXHb>㈆H(&#oC|J|a/G>[ꭍg1к(A,8dKTCk9P//(RXNWl*JtҮO?Ғ(B~uϛi΂qs~׆pIa)~)tfެOUTvp&,:3Հº:a%M O9/c [c8$rzPEx'4=9]=W7\]JYQy]Ðg&{]e=MMVRIJ^H (NЂ_Ф1qAM7^m;Q!yQ:Dvi/>)6$O蝙{UwhY,74}4{˟ [ߒ D.c 9g5RBhW Rȳs d[M}`'vcYUF8pX%_l|;Hx{--}#R%X> stream xڥY[~_.PDB1g @iҤ>5I YvUK I/6!E%s;\μ2lg:/UfYn6_녞ẇ ]lE9?q]|'j[㌚utvw5fE&Syia4.Ҽ]7ny2eb1۷2H8eA:2OpJeZr4Ze j g2/=@KJު*a; 7N*D-I(`R-uAwS2({e#Ju;fN5IYEuMՠuMVUMG?Ъ:('NVeyTINְa6Ƣ`H4JBi>,Drs@;[, g7,:tpli DHVX %'Y{)Jvz8-P\N&m,A N{|YV[ʘj칩stZ.nIg55rhncW)WN2霣a_F3AFQyRGjnmDVJ18چgOa:?qI]gZ6@bO~L<;(I3uM<ɴbWQ‰ZE(p[tq3 ޮx͔MJ}Mbt~~K+o 7TY#Ŷ7Tޥ! H&DGBIIpD>K81$=`&b4B$Bz DD&D6]= mv%p%>Ȑ S&OÔeZ/M-`3Ϋ`oaI :a x"3d2<6;xKkl6Kn"GVtK_ݲRsh- /ݥ:ŀ',,O5k3 -r0/~2EI820Cb ~;E=c¾YUBP͜jWk-hYĢ A5] %DQ A2s6Ze#y'A*8m]91zbJ@`H0vQh֋ןy^?%( $˱tK:"8GN=В` O)ο Vb ?q[i1]dF/U')*Gg($GrȌ[9Df/wJՓC]b?zȞsA9/Ფ!frO6Ufxw`YdZzխwIY\cB 7\g9R."\e]Z6o'tk엔6+=9W0g;]i7" Vd 9~X\K[SiµZ`GbºJl ϻNOt݀\Ո$J>XKB8EP\5<=KU3G.]4ڋv6䧉MDoE< sJ@`%uz)-SP\ &.`$6e>?8ʖ}IԄƔ#6#vlc1khU~!H$uFOU(. nDzp"*6$ dE򼊼iӗ &nWqg+7 yP$w7W_aB̔*!X٢W600lghS U+(dur`JW*s_OV)ۧ޹vm(MtO}(S5+&&I6TO _R!=l7l+{Bq*+/XbOw硥EX]o'%;Qq&h9ứΘQIWN'"ѕK !>7j٤lF8_e}+\[W`NncYᡝ?YEnyB& d\F0āe >S3^RPe}ٷW%M'U#o6zov.M|L> T(_ Y9@gCRoХQ7aJ7ϥ|Z<$O?p~㔋g,"oOIbnhA('k?U* D Z9'E§} endstream endobj 124 0 obj << /Length 2445 /Filter /FlateDecode >> stream xڥYmo_a,P $J-@wAmp1ꗜd_nFlbggf3̌ʘzUVO*TUi#I$#d]}s+ē~}squݬRuY̸jgg6ʖ~qab}5?'z6̛GsZÁR;9@:LsO#sJlEs64hFI{fk,r4Vh6ؑMh?Te q.-470RVnO4No2z"H?)ЫhѡQ͞ѴDBij{$Z=('nئZm_zH-9nDĊ缝y)1JWiz+Qz3m8*hAuEV6hQY&nKųTxMOC-B ^i 't7!t1ul\0$񢅟tYEnpY'b}UEkNw FB̼pƻPVYP,`(k2?%CugTvLȱVA8AG7+wmCㆌi 3EfxNwr2x͖jG+RY}-.*}#>{ V>+!xfZ&mC_G{pS@WHW9qV$J1M n)H7{i$~ 8C]S1H |lkۨWKK^_[W: #NA endstream endobj 118 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-037.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 125 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 126 0 R/F3 127 0 R>> /ExtGState << >>/ColorSpace << /sRGB 128 0 R >>>> /Length 11171 /Filter /FlateDecode >> stream x͝MnqWO6I8A(#XHVhH w+_Vսr_+F2m=g^$z맯_>_^m=zUj~5[˯y'6߹O}|=~HCzޞ#+2?UV;.ۢR)o˫pyu%+o6Qmso]+rO6V6^y Y6;p\R~)J.rSz{ګV|P^]N6poywy}?gMx7-oXwyem[,g}u!;ߞ<ߪ\oVKKG.zߒ+z:i-y%ze_Ϥ!/_[~~|˾rys?o.o y~yϿz?rK?zc}Ke}_I@lkl7ulv0/O\O/y#_?͌!ɫ߿~>/)k/ߝzzj #Z'ScLdrcnI%)i5zIϿ~g}_{7|ׯ_i?ȭ$7_˧G{johz[d7q^_V;$eoފŵkK|'GD뉞zb:'5=\OTK'{=?TOUX^/ا]Oq+Q=[=Y=z ;_'zzGvx'~s=?'zb3\5*۽H}jmQ)žpDJ0*'WN.ǟ< UP?Kü)cV.÷v cτ'og o}{쟶fr H晍K+"")pA[wex)CQi>库ex)c7~G2&SGDq(IꔱexDNH#*" 8e.(#fu;BBF6#',QG=4bwTݿ#zSv]|E_(=F藣n EaGY}eWKD?.uMyz-kuO(bؙzݝU]j?#/{nuPIͭҩGUmJw"tDLQ"js*Ҍ)eJпPD;&m׭FNӼ%}qr"F*li҈)W#/{hnJ,}!=im,ZпP%$._CUe'Sr"FԡnT=4j^Wr"Fڪ$}.p=Uc޵#m6vDZg(9C#kzI;S EP%mE͡9|E_"Ј١JmzD{IUi+ ʘ+пP-i@O5<]nǏRUU Eٔ^ݧ"E8' |",'r|"8 0>X爰:d5kLs2'D r"O#'™"4_B'|"S9'Y|",?L̉0>PgkBOo"™"9'r<|",'@|",3\щ0>=L GX(1EG)NY]4K[F&iO;w;ﻖ>oq\}g;We\_u%W-){K^,ε|>wq_m#/=~Ґ]+_(lZi_^w|VWV]ϻӦ*j2ʓN\ޗH٧GdhCNڨ5Q﾿l҇.S%اow[z<2U$oVnجxQM%vٶԔ꯱U$mUD32BԚD]*Glv.W[mC\`!ڏ$P3{m#sm:LgQlڍo mSWa8956{)I1%h:AjsfS;q,jw~Bc-Tϳݴ%ʷGѫ[~261~M:%~w7l+Йu6жNev;;lv4γ{gOrc߸fj%CQ8,FQE/-x)WfPĝܸtZ\ fRJߜm^[snl/"}Jv.#8[Jm|풾'U"C/vc +ק>O(YWMķߗb_xjqwVNe:ɍ,}2ɃH"}q :蔜/XI7:II =.Tȭ9IDnʭL/~'P鋒u[%}2+X$51SjNOV$a7VKNRGF/ytk*Y.RV>獍'go#K$~IJ9D$J_lf7%})_'ȭ>)u:Z}2Z滩̭pNpluxWo㤧H_̠ɪ8+// um1sV_l_:ܬO^Kp_][}~'%Dm~5I꜏sVCLF$%}KXK2ˎғe/Qrz|$}29 I$օ[VLV`eI:-j9 +QdSKh*}UbkVvRQ:P#|:ة>^/\|O/(gQN:1Nr#I< iN^=֙i,s l^9I:ƝӢ`f|Ϊ .0U>ү~ق'qeH[}2C+_~g21SCݜꋛsNT鋓iqOrr}@I:Z}ӷ2ǖЍ'H3K uxd.ᝎ$IՙO A'D΁wx3期LoV_tO[d:VSs}DONR鋢JUAO_N4̑뼤MI:$ K_]s}?֍5_8뉇9Iv R/|Iƒ/\ߜ9'sXz(4%zI(̸M^m9)4+_~ojmd8%}tIꔾx~ uxU|CO0RWo$lt)'3)'7ux-\>LWTNK҉._NgApP7K9;=}I:M*sO:j ];Ӥ/O'I'z\LN ·GxŰ0 ҷk+K&}v\uyJߜKzux%'ٴE5>vv2QTNJ҉ޫ]|yI$ƵOm շ/L'շqэj8/I'%%g0QYЛ$elFxuQ}b@ߪe{4!X('#I'$DկV&}VT:t b+YM ro#K҅]'xqOp/K.ir`RO4娊.|5鸅;vohʭ>AUN|:й'8O:Z&wpO:QÀs Op/ځJ_h0 I,'Bj"|*>A>A> g PPp\pn I[++8*aa2.\_ٷ0?_Y^'!؟kJtܩg'+HsmV_ɏH_,%D%cawFPzs-$硒 On%ܘٷ I6+o\`c$S ʗyCsa"Iy!M\^]5.d铤>AV_)+ I(,'//Gx$H:q"('X [yr[t"髉s}Wƶ Fx̭R .pO:>YӄiCXjaI\u ٷ_ҷq/~܍qI_VbRWpb A,Hd&K_{W%4Y2l钾/k-gtaA N>In3xo_NvI_>UZu,;B<ҔfI'V_K҉^T%gk-,}tG:mq咾^ȭ^xJs⍂%[uٷ].pF/K+Onds}קNNmž;ޫxs}>A JN%/'7I+SWsx uxiCtILWw^9Yf:\7 /O7u5ǹ"KWo6-NLn#WtjMb9+F\^@͠ޏY JQ6Ƿv>(x{7HtxqJGᓻR}͔?_-j=t;=G.Тa$Md W⭠UW՝͆=b{ز̃i{?z; e|1zMQ@jrlۗ(P#`qc̵й\[拗wo}~j%N C_}_ҡW_W[&io뜯?|z6IlgX9'& "kGmde2G@>/7HHݺ@,F%^8 $dM@GQd¯,V~jX ;i:''`W68w5dV(fO`e~q?'fOZO`%4'!X#X Vq/R? GΈv? ?_Ā\ L~<'0O ?GG ?ss?9~jn?9iu@{;~ ̆+l(~ ̆/<O@gw'Pq'PfO`w*@`~O`O~7?jWh?Y.?YA~X?Y?Yk!T'0wX'0J f 'HO PSFX @O@ӳ' "~~}7?SOdƾ2b~@z?w~K~~rзz?S2~e' sҙfBחO{rԒ[2?O C-O`&'0O`&phv?iu zd&M $HL2@ix4/C6J22l|[m|I Ҕ47?` Jg~1,_0?ǖrOjG3 2c`z-=I|e@b=uv?,z?Ǿ2 LO`>cc?f| <6X ~UK~( t=O@+V+ڧ}?i LO~ZO  }'p!}#ɤE踻!MS a) a)VO'0U*\5?a^ lT'@vE$+\1 fV!Vb2)T'@P4O 1 볛!f[Y1 5*k 0@/pMf+PO` _?n1ۤ/C61t?4O`X?1i~Ú6H'9O` O` 4O+ '0|?1$M1/CchV*:m]7e+m-Й'@XQr5&~-#16?F^Tk~=>p4?Gc m;yY[M!}'-U`i~,WCH2 BI~ɤ'@H_8@~>CBB!}ͤ/ҧi v@H_ /׃O 3&}>m@2 B'@Kҗ=B!}iB I_ /җO҇Ej'XM!}>fӎ t?#pBS~Ӥ/KgL!}1O`oH!0B!}٤/ϰB_~դ/ B!}ډs?n iz|'@3t?@HeXDž> B~ɤ/3&}Ku?BH_ ϰB~cat?@ ba9Ɓccl8lq WOp@Xvd7mMc O`5C16t?@, O + O s̰ʲ@i6cec9ƚp?B, \p@, ĢZisV| bQm T`T j6p<'h+ 82`VaA} 8 G[T /p_F7Ǽ'h+'h񎶨|y,k'h+1W9,sfR JіWOіW8 ` 82G[Tߠ #/'h񎶼8|yE64+G[^nhjE JV92]#`~/u4P%g_^hjyy ke'6j!}> ?@H_ ϰBXO3&}%/>MϺ!oo!/7Oe-], B I_ /gL˸gMK !}6?F, @ /gL4~> !}>d \ B; tdO3t?i2?BHa3 B I_ /g~^3t?28~>CBl~@Ha2 lBH_wH_ /O3&}>@q?f @ /׻!!}>i @ 7CH!}>d f2.ux҅%_념>jҧXO g~@Ha7'@ B: Bt}=X /lcs%] Bz2f@H_ ϰB!}ռk~&}&}@4s4s\\ 9KcIq?@H~@Ha2 BHa6 ,%@`B4@ /ͤ/3t?.\ q!u B O @ ~v$ !}'؟ Mt B I_ /g~]8d>Iv>I,^.\|'慐{u@H_ #/gLkgMt@ /j @`B O 'iåѤMM˥OP,~_ZXb`9|Mg8i C|"5l3mgW2.;Ϯ;.> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 135 0 obj << /Length 1113 /Filter /FlateDecode >> stream xڝVK6W(+E$%ʡESE/E Vj%{+kq}E~ C0{z$6oV2Yo\&Λ&M1=>/Uz2+u>-3]7S >dvGش]OEUCBRPD̤- el)u^`ovQE6/ "4Eޘ3iЅ6C= pyyyYDN.t0.uCBvBF%tr$C;QWE:h`%ԁaϗU*ý8fI3vS&y :KiL|zbfjl(]9#O}$HI cϕCҷJTBW{m*ݶ|5r`(S~GJ >r:E|!d/ i8ڣICtqb<&J ^oj22o  t}-h/(.0:>Jd\3 q9_wb5Ir\^@ M؛W$l$(|ӆ,H_{zb(=D$('wa@@*0٘:/ktE^[-G|{X?Oʼ,x; yb} Xu( ȰtPSruH۳ ?ЎN"Mɕܯ3s;c¹@a4 n*}hSN7]tz¥. sCP*{ZhL}plY88_ԣL8:cn rm3c=/xGefsq}3!8 h8JŽ0{?*Rո(Q?vDH'kHD.m*XV^G.oًU"Gw4 ϶H^O~$N+;쇧 E> t6Q o(^ɾMrLйr*ty3320q P4Qd4\B7~ endstream endobj 131 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-041.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 137 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 138 0 R/F3 139 0 R>> /ExtGState << >>/ColorSpace << /sRGB 140 0 R >>>> /Length 3860 /Filter /FlateDecode >> stream xK^G+ҳK/ܐ"[aeFl+%^|cA,ppU]v#?1륵r({_z9^??z_~ӛt)R7O?#ُ| 率.)2,Ehe$&K)L2_UҸ$Y4eKiڶHe (V +$aKm*=it\efdY4e˦DM'F2 0 ir%Iʹ/'+/g+4eerf!L\6sO>dZaq.$KJiȁv6mY7.]V>#*{&-ƃq!DSbs ܲ03),,K%N*UX nV_&@Oc*SNRb崘^Lux+J@Y+HIB\hh9F!_ygj5rej齹1G~ow t\r I<+e G RŽN쁻8Q/*#)SO375OB6XKYwir܈^ɢ=CGepSʣ2Y3pV^Mg:?N~^ d]5.N▩YB_?2SnM![/vAd] *kڮpN͛+&;%E"[&LVUtwd2t42[U# |nICzفkqr>@Y[,>;E^݀^ضVjĖ)V'~e3[# sZ,{acU^3 D쀮q;8pTg6l|s&1 `W t5ol ;J'NYy"߀~(,l>~ZY^#r5uaUթw> 2KDtyLNڹE eL9+߀ؙ9w Ʉ *ᦄjr" >DV &p@})EtN5Os R0XČX}Nl6> POaqvs JtPQuRRM^SUeג=m*q;kv!+4ۯW ('!ŕ'/즔 <+M;և.)ϭκRZf0dbχJ{#sPڣ*&3eQ`oE:2E:MɃ{saX%#7)Q^b% A(Xi.U*`l֣$D$kRb5h|()I_gM7y?J37}$!&V:Q,ޯ[nC6ep0u$.Gfgz4A,^'L3]l&2! 1M*L;fMg* -.tm"mzW zQ_t2k=8Wk%t^C1vēqOgx{ZR.׏ģޓߘ(g=Msg&+_t[.o9?]bQ눋&YtgؾZ?1z_V]0^گ䈧d$2{J=|e1ћP6jc1?U .4rN=xָ'ϩA?97-k tk^Hrb!I={3 s=;c<-Xzkwi#zo|č@M:ۿ{=ʌu2=d=Md\!~G"E7}zv}%1dzܒ׃z %>CY奔൤t~ƢQYĠIozC|^ؓy^[5&PS`yeƫ@oeݞdvs,:9y}Eg0yTV3 ӹO_J4q>Ǧ#-F{xu>z>9Wϯ{7?{ͷ/o>}<ISOzxO7=["#SkۇgF4 >J z0|=b86*r~8/'"⌰ cW싲qsvqx'pw>znu<yss޻뵻Z]c\Zo*$FBwRj^Q#wdxֿ ǿb1NFiIybW?ǮRjo-P3<ɟnWo>ǧ_Wox~?>E'|ۯg_|`UUÎ> _[߲+QZ6n8rq,Jj7uA xƓ/H)҅`t«Џ?s6^}{C;_;/ck/m?פ/T_</ ctՇnmO?KY1 endstream endobj 142 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 146 0 obj << /Length 1598 /Filter /FlateDecode >> stream xڥX[o6~ϯ/CuGNQ"M_s#E;N:(K~꬀:)FSgu]H^iK9Y8m/l-e;gZ5U岋uW5m2U]\e:],ˢ[%i ^[3ua5xwbi|}*t_ dC{x6;䓞y}GG|7/,a_oFa2oIFD4g~rú ޲ g)ȯi%[ZS*]@tR}JC黎3?/JO7ɻI-κ SZFG7tx{q71>ucsr~$mQDs H;$+*Ntf;$ & Н®еF{#O #xjv:S<vAgI )È?'5 Z A=BY! u^JÍl%{2c+H87]t[q诐 i>zAL!XY IH(k"I(m0OrĵQUc+Ýl8P7|2W^(#$>&`"=@'LYeZyÀRKn"@7% 2{sE}~P ZRN@}^)kl}q :6v?Ce{:^4n>sqeZi9LqZFK:16>f!N\G,e64%>(^ g-=Q)L_038oye(xnV '&+APզ}V|͝&t,TI Q*[p0B^b$kAZ&ߘӠ"ƾj.rÇ6ðx GQUPcHǓ]Y(M,T؏'L.6m:L(vlC Sn7t%PɰJz<xHWW8)%7> /ExtGState << >>/ColorSpace << /sRGB 150 0 R >>>> /Length 49746 /Filter /FlateDecode >> stream x-r$6S|CizY6܀Zd%"E/#w{Ύ\2I&Y?~w8_h?י~__'/?׿_縊_W0~-|GzUBo>?L?OOO̧? yx'J/:+C <~+.<ƏZ? .??6J̯+g|U4}:+&ο^ߧr2W<_-UIgt~ \"fEe6t?;ML`6{xW&ھuY*e 5uIo_& "B7E"n9gHLv:877Lzur@A.(\Nӿj'r/np4Nލ SnVWBDOZ9&}x78 ԝ&zc̃:*3ʯ'(^M78e@Tn2eQ˛hȲfdʢ7e;/MYtpB8?eqWX,m W'/9a2S]o<>?W{W8A ;;?LfLLG(~eJHʔPPS¯W\)I L&(5@ ΚUGͺ~;41G&"cX&BP"BÿYoxW&x w;Afä,B):8D''Io6_&B$W\Mg�* ᯛP+A jGD_t'i.*8'm&x4!#_L:LDۿGB_ *8%'z;_>9;DΎu0}i ! SՅ)!.򫅧G$Gɑ&SW&8Pɟ NtpGlU^f!!Ǐ@?Lf,LkĢɔE-o\¼Zd^yӘB0y|TcY=LyDzz ¼ N {yuTgɜn&8\D'&Wz')BgSUTup4U fvȚ~d\YTpOd˫ip!}ޚDjPn"! 5P@a^' dg'8U!tpt F&S302{+S_S_M} L|M&jy\!&:8'_3+ 8{ Ts&"Vh80MD3 fs?yOßwrJC%…TIuaC%¿WyM' <in"m&TpV[gupTpIɬWyuO49d"&r.<+. OӃeb E,Lε%&rdRG.0 ' {nJ2٬ q 4EsApaՅJ_ө#s0V8%T@*(;&IDw;0 ̫d0/߇af(Gf\ N4P8Qɉcz5L*q>ާ&7) j;ADڔ#>L?O'~}alHud>8o4P@!W' {y}ׁMT Jy:|nBMT_ ad$&efuo1&Ҭ\ N4P8Qɉc1L̐o[7*8ooH(ʓޢ([sa"jkI#wT+OU)y_O,?V\ _& zo`'\R5:kO{ޞOßcn8Lmz:ɟ߅)DB~Drm W%ؿ"B\>wA\!Tp OKt9n"E);@ N:8 I7>x{n&‰cw<-+or5P@!W' 0ИY|L!BgMr=Cl7rr5P@!W' {y5x,rG߿@zr7MNTprTPM&'ɏɖlp( a*8 s[[#2Lya^'~y'aa~[ /"8eQG YTpXű&"ȢS"wyJ)ued*8uDu $w9:б6Lܨ'BgPChب&"f, " NY,{yLv=/JL%.!qTqn4?<{GC6qCc8Ld8 > .J~D%QIJ~D~rǬwH++IQ)cM}?k *8;/w}<þi2Sz,(=Kg!O)f"”E,S5nO˧zy2@?DnZ>D CnZ>U^ș&q\4MWX_H ő&¼WE$**H!ۅ jUV Ršh k2$ɐ&ZšH /̠ӅITJۑ$JIR]*HR^>!B^>!A6?]BW(2(P)/_1SQ*=ONNڱ2LmdhŸ N5|5<>rJ 4%`PTAQ 4E%š`v :+^?O\ rUp믙Yܡ xR7m7Nn!^`?-]GܔԸ oJqO^&MT_+Pj)Xy+Tͨ\~=Lfsv7.H\  SBՅ) .N=yҗTPUI '(0N˻`0B]y"TAHzp䬫f92 a_E:W4d}+dG|7=JDsz 2uHXLpGnzHkt $|ӹ~6X&ȰMTBIwRZ[dJXu·'-|yGnH@?if*85;/}W6zyz|Q`绉d< >Z5' l av$7"l|]/'2]L\_x~H'=upOz:'!<' Ma"m!|U4/_i4P$t;HvPsA$T)?p/I8D&ގpٿU^?*iB Nr5r}5!I_.5+ VZ Nj58VI(EC?.ºf  P# լyUay}BTjPj )3|DfmZy2*)TIa" C悐wAp\ niS*8۔J@P2&j/㠞 l;Q_x&s'2'+SBSBM s8L}jMfWSE&d,] Y:d #K7fV E0:<-+EE*8)'Yur riS*8۔Br6˙&,gz\!̑&OtR oKOpŸ *8Lz6@osR'mpR'MsR߀,_LgJ HʓEikK-OyYڮAF]t.Ǔ㻮nLߝ Q)}UtGg@!W\享mcCI^ӫ&8.r5rӿrߑ5Si۠ |n0ح&"HwA$ j.*8%''~cMܿėl2Piܔ rSM$^k?# r]P:HMHr79u:DXh^*8 (ML'j?z$׳m PJ|vt';00¼ *8L./؂ڹFAnnfMnn\Pa:~<eNv (Jy Pg~:$&$׻ײpv,GT~!9 [?rv\d 'n.0rr5P@!W' &a"*SAO"B^g:KNGҽ8t:D8#\\…)l:8T"*9+KB9iITNCr*VJ4T*'R9JŞ_H]-_wI| 㖯Aw}u|m"usI dMY5o{^:ĝͤa"-*  (I ֨5:Ɇ#ȢS"wy׊o,TpnT;./fIgR@]mɺjU#]jyPuaJ8M @A;(ASu !dM+ɠmJNTpr80L9N1 !WsAUI?!ږJլ6N}F[_m4A+_7An"sk ݄A} ԷhwTBTBYK/ַ]@} --쟝& ÄbP@JӄPi*MPUI@JDU =or*MPhJ3+|J3+G_8#穀y|2k>5LGBGB 5PWɼfwyiyXYN;`ۑuz;pe1Ϝ}AP) vPAIخA]+uDIN< L_|6qH#ʓ#VSP"wy׍!f 4J^]/T ߟP@->5M\< t?&!D3fZy N΋f>ʚva;[3ΖmgKTo;[|i  QSrUp‰ '*89i"|f\5 I>8M %*)&W*QMk[Y)W{ k AU{ 'Yh,b9M?&BwA.爊 P2j֢|-̷egK-ECl^ YPS .燉!:d. LPB݄Y:d #K7\cyӅg*K8Az/r̯NƹT{PB0ad&,0gPpJxf (Q h$0!? L3f@ rGÝUr4L :W 8^!]g9M$ŭՀ<@I'd8&O䔛 ⟿&Oji"m 󯕟#uB[S*8@JUpV#L?FGFWng4q /lU:Կ+FIL (5Ia"#VLTp ̠(f, " NY,{yNKJeY7C+hvDfn ]%~7w?@Fn? >v< vYσ< σ y?+$E.~P"7T!7|7 !Qd;9Ix IB(z°A*vUk.@}1ek+gP.Pm( l[h 50A(a5HJضaa"SWDT>LQn}$ UpJw^$.NH@R-Oy[B&wKh Gwje+[n+:-[nu+/k$;=LAa3?Ay ]Np@ sMrkA};A(z!녤aY IueWy%?W7(5PX ZyMPGmDzVvT+OU)yt/T=fr'ߵ,~,Sc?Grٵ,~* /6@.E<ﻢ- u P: ??<\(=bOi|5=oUc~;oj+ӚW&D!'$$m_ɶ7 B*+|<6gG]=5sy?yDgT!3z>|/# qyF!'g s{&Y`AIA`7tarEn-\_~ vDPou6@nZcگ-ŒEW]Zt%kѕEW]Zt}t/8.&RDQkJ0S]o-'w~Ж5Pn̷7|{̷|{̷7|{ci)\] ~2/U޹߭3l5p? ԛ*ٹM,g3d9-8%#˅7 Mu|-"Dn ޠw\Η,<˶\/ny]|W(}˶V[mE?o,ϩs dvjbT;ڱΙn9:gL6An9lq; nS-C!'-DsޏPR nV8z\ۋ~f]G-_QKd$ۣKKb*8ne&wy*8a"{\rUpO..7:˩ 7 j l+_3LzlpaaaaP\,\1L1@=f ʒ -K.,V:u8iQoi\f$;D ,-@QMmׯtyđ u oPݮPPmAȴnqy-- wy 4;&¼ya^'~y=:cLܿfHוۿjfH!an~"!v\B; ௝k'/pxmu|nPo >݄j0A r1L]8;TP&s*8=q;7*>q#ۧNO1Wl]AtQ $׈ :@4ȍ}nWPd ?kW.oP5BDk A Z@x$a"TʓΣOqB9Lh nyOWDfy=lymW\is5`>W\ؿ|DV]_*m-d;ϖrU2T*ȩe]'+NfvZ`^@Ns{y=Yq^&PzW3˂kVRQ̰ԷZZo# ;z AnBM!ſE_ӢƏnB !D(BB F+Oo4 Ty{@-d~}~@-$w}aWy%.Y;%Do\|)&Df]"|t0wB[^ PAECLa"9&hS3ǿr1uwTPg<ΗpOj.PoO oO;߰uP%.`7Pi-[&~W{3S+mG$~ G$*}D]֧5 >L+3ejE3e@z*mƏDs)r En7v;@n mv F/ Q; `34 6'7@7C:F8IA.Nu5NMCjyPHyjR%JH[dT@V }%ydTANm]޵8 u;o,d֒ZKj-+dZKj-+dxr M)]7SIHRMbH,m{9_l TP'HwV B";=h[1Edu3lWO%~ rfv*gBŅPӶ[U_m Yem]ujVAۮtwC6:d.UY:Haa Fa?@] RS>_ Dԗ/dCߐ2zP YBe a*I ͟0]?@HI뇉> y > 0' &0r. B Nr '>-|;h}aZvзmw݅S7a !q\_nMN6?&𫔧l2|1H3|:AN'(݄Nt H/'؅r-X*bWxߕTaG߿{qjp‰ NN Sp%<\Tp68|n"Q+Ozf_ɧ aﻼLuk]3]᪂%YO|M"7&ܲ&%|vd_].0AHn-<kʒ7v8 V NZ18iy\!Hr\)Y x& 'Y5(t ԇ߸o+k߸o+kMܷUi6qV./r2x] 毠>9@Oi Fh6݄d>'d1,|Oy\AL 6%h56Gkl9Z^} Y5f,OXc 'E*ůTP'H-?qu 2|Zqo'} ɟx ;AH~' ᤛDvۄ h[ r-PK7ƏnBnBHF[n !\/+v< OAVNd鿲=['x-+T'>vMH`/ #g1g6< 6Lyf cZ>W m{N3>W:f`M`j0jV]}~an쓸d;HMV #0х. !>|`i7@f6LP9@(vd5;n\  zKa E( ,E9q@"\1N,l( R4dIѐ%E+htiY\ʒu0!^˅ s̨-(ljb#MqYrHJ+Ov+?PVZZ,Ǻ&]ns'li?P*U͐,v2U aYAL ,B6C0 f3,k  {`N,?uG}Χb|]-wpp>AuJ^@%}ίWiqd7![S]WAm$ss~G)W6Hmxrwj݄j*p `@w`ъ< Iy0 l6a4EJ}&1Aٜ8k S]h}%: %xOZnZ8k&rt 'PƘkRIQ&Epfk.+7>i6)r;0 ̫d0'Y%vknOͺ< * a]&(8Z%Kuͷ ! !LPy& rH{|߯\& =  =|g}p]f[Hf[&S׍ԒvP'!xT)])eC YֻUʲeM EO6WhEzWH0D-R> ʚ@bOY 'yΗL[PPPPB[t[0K Fxi hr[-Ɖ}N<rQ?[n,d]:O7L5yM D&v])2 ? IYBe 4 r4r_/=+Z=+=+=+Z=+Z=+=+Z=rNJ>,:%.$v,5@Hnb'Tyr~ʑ)'͙&cZT6a5x2@YB2;O&PvHr*񨔇j59YeyQs2_RQoK:Yݮn}R-Ɇ---- r_.5RVn.*$K/@ K/׌JEǷ۽*7{}o7f}n7f vcϿؖ/S@4PdQ)>j[?EUTW)?_Z_KJZor n 4BZwTPpţf> ު>¶j|.lѸ=G^.|Kqwk0c t?s?SA3CB+"Zu&[+tUo7 v,nnpSx,n XOˋ{jgAmr@U>r!;7sokGvz} mfܳ^ж}^!}Wy_LdW`G8_ ;Z>.q l Ga33 Gnv8|վ‘{;=ӷm?=' oc~ߗ3a„nB5a;AP'wÄ_L蓛1wj s  K r0-R;\gVHwapP3@6{>Hs PLI }L v1=+FgHwWs'a;NYt9=P$d^棫fۧlnMsA4 "_sAW)?97G|.7R~*7R~*巡R~*7R~*upQ@V{{V9YJe^\lT>TWWW/ʭuЦ: 65@MMA6 dXg(Pz2+pA06P1'G=`T&ProczۅPȁ6"H7%bAn(4|b{G8ZyCl* 7Y&I<(ɇ?_Z.uu@ Lh :Y))IDZu@{la|e>je_!;D"\"\#\FWPTPThSEW7!U|تVتVت|ت|jqJ[ϗ GfEfEfEGXx3xhA*uгS}\&` [ Ь,݄ a B`#S7m~z5|د + VL>N"tȮnVfǩ'U,Zqdrms`e΃V:iV:i`+5AvH-у@j |j̧F3=BDǷ %Nr@淇|5rp 3=䠂C>GIv i4BZ=UOCz֓4'-o=v})>[1dih]?A(KCID\Ʈdk/^w[! m&5n&*O3n~V2~KV%~o)PrJ8ϴ緽ٶ3m ]^=fmhAm6?L6Ͽt2_&d߮ahksiRks]9^3׻. $<5&R6ᦽ;@M Y:d #K7:Oa|޴ Li?dlB^lw]h $2t*tHn9r#p< I IщBNv&dK(}%e z+l|Nx  *%v&J9nBe~wE3 ۗ2Nvhb5f~hU%'5+? ^*WTvM ՟=eh u; 0thwav}0m-h;="p&@)gվMQ~6@uA Y 5*"{::m2$rP@ ҁ2 T)s_`gm݄T)nU x7@N#ʸ>7h Ț &dܫ@r#{ #7Jo8 "ڏ g%: K8+1@f%+˅PaSUNuo5y}B߯o:;@ne=yf͞D+;˦βWſz. )sWmH+jVOٵ;bJOj; ٶpa5jֲYF6|6ƲlM*ɲm4y+W{=MnMPA 1@Ct0A b徽X%l2Yݣ:DQV@n)=ZyTo)=ZyPePr= hm46o os"8L@ {gTԺSBNvjM!!S9!,vuy=4obge fĝ')v~{&7inE- d!ZR[J!$ZВ AK2-$:-7ZPTymEZ\Zh5A&ؿVqUzb}]+ ܢЪ1۾@(f "aJITCIO?|TA?":(|Ji*A(K[7Ya Yrخi!u`V7DR'NP;@ q~;daxj< 5C 34;-I\`}CE'9Ȥz ?T=Ae lI ؛c[+S@#yTw@A#-N"l)S7 ¦F1%fp3?L,fx&ɒɍI9b Gn!7 $T9r *|ћ55qœa+V5c04@o%sNÄԷ_A_ r6fxrLƃj~V`o8M(rrc㻼\oh@6(˄ǚʓhS3|Eر4A5{zVSmwy\9\YXZyj T;XjKQ5,/R@"aJD_D.%ZBDK re~s2Rng2@ )˙hYdr&C3Ѳɐ峚fTZ)#DJtJY I8A|M\gx&_*l_9L8K^ Q'dc,(%ͺdYļ+d)%KDd4ԷZVW3_-|噯yvWUԅ+l܍ 6KfIx +a1!여( O^g:-Nb(gh|'+0%ķd7K, %a%LHB_?ު+ *=vӷ=}C }>`_+<XU*Z>N}nU+/apARj[y `bE)O,?OncG>Sg&& ȹ=@chܿ@mܿTA۸QA*fmvd?,ļ= $@4TW1ka}ծl07j.W܍D0] 9j,͒Y46gM 4KҰ,[ &zˉw ⯃S}Z;'S}jQ 7=~i퇟~x?wkVN:MKƮ{A;<+w~Z{'w~Z{畻DIDltƿa@Y">uf )hć:HjZwpxn߉i'iwCe=-r:8@!!!!%h;D:DM,Ye7uvqlo{/_*}ĹUX*K«Tx>݅ML毰˚~Ms{i T*U^?{A' $_u4e^!2P̧A|:# r#w7zK7Pw} ~{pC7U=xEғYz>KOg,=B wѝCs!Ho!hT'Vahȋ$5f,EK35Ku~8}IC>@ӷT^*Kxw8}.@UPin l&̈́ĄhY+ SHFDP>HtH+?-uܜ ۗ eyJ[,(̫-kL5U&:8'*c3NrV_}շ_}7_}K*Hg(rrF4P<,oDR)*e^l-2RF*ay.mq%\8 -\3FJr9M@o Q@2tJnd e,rϛNN:5;Іv8Ѹ@}1A(ˁ,r= \&mvJLp{?̜AfqSĜ)n9 ى)h& oٜ].;8gWK/ 'JMp*r,,'|Ldd3eRu2i^&?077ymI}CTAjGL]&dLfLU*q M@& AdSe(IQ3ϊ++RH"ϊ`6X o9 T2]@*bW ^)VzuTdP}2 M Auo͈;H͈ |7@2tj_ doxm~h9@}mA, ^=T!+p+(WA ٳ9:S9?S9Zpijɗʟ|ɗn{},bu,Zb*,c1ؿX_N2;HMX lEJ XuTħ3:G-b' kaOk$)¬ ▛1 x%vM 1ح>oKWu 2^fuj2ف1eVɆ2kZf]߈QE wiߜUj}sVo*Yߜ5c2]/2 9k+z*ª 7=|XLV:UkTu{nHfS/) 2*^zZʯ*ZaZd.&JV vԷfך^kzzW  pvm MB B\w${Wp7!>֗+hmI*U:Xۮ6"jFt]xD%;HJxj!>ܶKT2[.rV7%Zue"ә!~U4k|Wɼ (̫düs=s=ޟvrPs"Af|oCMkvy*Y]߸LaZBT^ TΧb4eh̯:;k>w3>謃Nr]`8l|m_йn_i d~;⥂/_rݧWܿwWX/ܾ@vK9#^}A<jD#@ǴVY f5К`hv]$ylmK+f͠{|5r;YCS1Rf5k9 6^fI،>ٚ'4kxY4kf׬!~TL]燉'; 0љ 3  &_0Lb70rp8@T:ȩv! ]: l_ p8@R ÄT)%7 5 c0@D @Ϧ*'VwaéƉS]'Lu MPe"grKM8>ۚ: 5&jS N8g )(3aRABra> &9raV<顀Tw@Y|և&tM>[ 6܄Fj|d ?'k0䧰ח0gx8g}AHX}o<#b `g;]qN!^&J ^" 0!{s+BP?H}֡f#pl5Ql5Uk`WG0 Z7xrr(4kj11*\#s g.HM~V{@oM7ûk*Ȩ;6=vRۑ &nBt!^j/SnBQS@ H{400{ => !/|,=YM 5@fMȖ6va6v7-#F2M`ˈMX #` 'ad7 0 rFv9\KF҉oAKx SBO<@o0k%rsa5CG&q Ё b) Lu'xJq,ov-.0!q-X-Пh~L]hZO4 ٴ`M ٴM ٴp}9MVfa*֢d,ZkkYfa1#݄ʦuT~]Zqy\$vܕ_V6[Ψ\~ WXnְ_Vk D{yhr?54MdYcMƚƏ5kɭۄ j57bjL&HA  Y~qL<0wqR9Y˸?,y3eR+y3|3Z9h<#8 ja< x?I7Wv]vR߀.; e7!L=y o3n3 G>ӿPWqێ?j ZTj4B5PL |TovkV [ [ [ [QN5$ ;@Tf-7+6+6>6d{=Fϧ:HM,{zgᤛPuYfd4&X|t&+7;AЕGb6q &c}ۅ7 HF;>ݎ5f:݄-UsZEUs~`oU .e@uu ro_Ŵ_P&ZCM Rss]3,a䇚h 5) Y[倈fb-8 /Ke)FҬ۝s#IO3.y y 'y y RN ?*@:R0M)&kAlΩ֘qBfلT7&fqB\PGˁѹqN C'/Wl+u=}e2AC@+ZRv_,.8WUSL؞UA"Pw˂$eaJ&Pۂt8A\m+N|tܼdLiPTs6M2BQ -z,1@r^EV_Q$kEEVZQ$~EЊtxLx7؝uK -&e\?s7?Z~|\dcnfM \t&dxsX_~:|9QY9OV>Yd%O|>t'1ʧS{[i転Z5T~POV.?s7Xᙷ/`6~ViF+/00'>?9L-Cs FB> '䓕OVB> d%}z`\~WyFW~ӿ9Ư4 +D]`zغAn& Mn x`AnM@> $ r>zW.dx~l @^S)=؞o[u0vZ&l ZQ+XQ+Q+VV|ͪiΟw}d:&엕݄l^N+|x9_~7yd6acQz %Nk =AM`[H88@-$Urj ;f e'eC|xlw{L.):2W;Ӹ#[dl]U7!;D^^^^^^^'2 =md'7x xF&V,V,|,Vh:AۄV+V>V>V+V+V>V+ʶ~ĩA6><7>7>7+7+7>7jrxpIDOʚ. =Aࣧd"p"p#ph%EwCKli$YȒ}%"XNm#)R*A PV"W5^g;/7~EE-Z.jrQ\¹̳|WÂ/E-ZiJNWrZӢƯ4s9 i/}YҖyOjW__S!Շ>{ }~ebZ峾*,^n#;?glO |WyxyxZwZ?G;yos/eo 1 CsEm bHL1xW/+l)ڕ`d,VRORZ]<{b {52b52b7b v0.- P{P{$ˬO,H+A5dANzoAZd$o$Zd$/k[.A6 r rk|]/1e-ֽݺ7,FAEo/ Eomgyd,(P&,!xa#ؽ9pI@~l$IXAM8@qQ$?U>ژF.@.+6Xsnyr4;].p+Y-4պ9N8%hS9NAs Y,x[*mK(v| ?)dDOF ?9l.C-Ǫ ij4V~ج;E=Z.rQ:\ԣ;8Ȝa d<5T~VSYMf5jȺhVSYMg5jpZt(4K|u~+_%,u~Ye1\?s9 aNw:֣5ίufTKot|HxGo=ZXz,֣e/u~Y@!Z\Vǁb d7s!"Q8ws,T2K|cD(b ;X$ld}1xƈǁܿ$}# 8C"fY^ϲ% h2%,xq[L 6XJX(,q7l-k '(Z+2 s<0{ȍ^r>ҰV= eO @ّsPvR=+l{/Dž'v}n+Þx<[x\v%H%Z=Aʝ؏'~M؈M8qqLd~dv7-\@JxAh؛^ԏv, ^y !,q ^Y ׸/Ռ#psO L\L[(Vc X )3vgV^rUH88Mũ%WiVe 2U;yeshOҰ7&da鼨uU UJcRK<{(PZ䡴Ci"XÄ34ʬh }M: B _0&1I7{D#Xx D/htD_"蘋gAs T7Lkˈ|.v9e&܈^{>|dk_^ڈ6FzY^,bS,zmzb^Y p-,~,X ^ZZ -kXucXY,ʳk9ABy TRm[ IbfDȹb^qY ) N vQ  78 (|طXX @ b 2ӄr)P\q| & {N.-gp@3vrXp 爋>LY 9pyPdNbv~'' N6O>l`B;NY,'xd'%/g M7 p{@mI w#CdՃڻXp˓EYrFih^<@ظNuF'HN'!Ȃ\ u,[[B: :=u@)ǰ.R0zVr^fh"Zh&5V~"Zhꦶ+_7cP?MQES-+?cьvq0X`6~[fohv\y`=A<7KT>5~vԢQfGhvT8=-֗٭G]+/5XsϞwq ֕Kr5{`=j5X փ>lў Wσ f^5[,^\kϞ7w^`ϩȋ-7h\ $^U^J5PѽpQר+v%X mlMXmA˧ |e7H>,UE^BIj>"hKYNs˟}'HiV5+!:@sex9Z +3sk{и×mZq^yzIʐz--Ьx)@r 4+@r5+7^-ox@J6w0Y{_pLG@(Ђc: DT1aS6#,ux=*M㍛ݞ{B((|v5fw^Xpr;v=s_ȥ  9S *Or׏ *N:XU9A8| 9| 6aF6F66"oo]@J8c_;#* /xo׿ ǖir`ZƬ]5nilQEǿ[n#3ҳ$ƫRUE"Uj*HJ-Ri?gz9a{h\8NX-%u^';=duG:9nthkDNeD+K#ZYQ{DQGG6E#ZY%jhi - ~Ygehʼ ř,4UX@  Q]@ʂ eAW@ 2, n Pբɂ2 BbakafG 6Mz=NV^*v5R]ծjw7.o{Ӣӣ{-iaEZx-l$F ,)7_lh2ע8Fj4 l4݊r僮Y[w=]ާGc3ď%8 `ǧU +G ;>V  هFS)w#>AVH{iѦ`Rn^FX#R+ֈբG4/QprDmDmm~#eH')a a-@d խP@ 2"V lŽB>& -nh V4-h[hw%HM' [h [~ccf?٫_lU`'K}QkV6,H?6^?6^?qO }X? GΏ;^, 3HEw^EHEw||7EI)JHQE,d$Q˥ :A $%Y("EI)JH|EIQD(PD G Ñ‘)-ď #S AK2Xp q9Ȧ-5(AJTR$'$4SM@a[)Ny()CIQJPC+WY2[o$֏Rߒ$>fO.NX(Pp&Q (l ; /,lda] XŇ {Fe {Fe4!} T~dM >5Y"]#nr7|P'[-RkV5E"jf5^Z%' 4rV- ~4HZJ-ҖkKoAkvpPa!:LX`voT@ظ2\> 0Av 8Xض'X/->@@ ~g$|¸ёp/X DmgPpGH< 3gu0<[ 9?A, dNo#):~$ߙ% 5d h "kkk( [ `‚:aqH@U'5‚łI~@Pqjd<]u!qH)ޑ;{G :,|fm "k ƞ?&,<@}a5 D{CJ_(,B7S />\p|iS&ȹ "٫Rⷐ"##y#+( +B|-wO ٸ)ҬiV5+Eػ<'   @N{`)sHJ ßZ=&ȅt>A,/f/k͌/]6~r`B' 9R+D"G #ȼBH! Q@6]W,m] VrtJ/X+yBeh ȝ ^ ,Љ+h R -\pw,Sa2K~/9:%d|Vt|pJV*9:X%Gd`*d[{2Ka(9:%GǣdxgF6ھ0Ld}d@}&v l #cL-NPQDƙA\(B@,|1u6PXQj ?R˞ t:Nj L$ gLd%Blv|MsP2C9AU $&N9n%G"9],9%Gw(w#9%K% 8nz|l>`ktzFQFs7r1ЅaAŅ *GGQd#x :InCX떟 7B !",@,R-/,qT@j=YX c3m?t~G V@0 X6# ZscQtrdAGIkkhcWЄT-R-RWWxB耑0R3D|pH)#~|qBE& 瀖bRSLJtIO1))&?:G@*EOX@(K@hXL% `BjRG@҆J^9YP(K@rJ8) >6AR&v`Ja!Eo fl@El8" Rf#*-g.u[jIYX.e  +_Q˗ -_n1\T-^?J]|~Qp:D<4)QФDb"*e|귏ty' j SV8( SҼD|4YpI=QF`!TN:TVXe),pQ,I;ULaN\C(SO#>MnD ;JCB%S;*%Dr]NT?9G<&:uy?<S!==}/SگW!m:z].w-3\?Rr {Q¾^R} Dhz.AN&U_ 7| ^-^-aDX#V^5#ay&=yX,椗 ˸kR^ )_tP&'af|9R楔y)ʎ̋0"̑s$̋0VHFz>Y]й#ebXF$ebPUR KT~ӪEV-ʴj|UÙV~m`Z5Al(}'p(+28Yм]@0bmؕ75vHҸw}8ko7RK:l|N:ARς@5> upxt|Y 0HjTNj|TZ<䩆yAɗ*Ђnx] "7>aOL'p ǏFKlXXp؜ma\ 2qȸ\v~ܼ^X@ދpN8)F@f$. ",I8m\@tWFX A-g-8}ȕ(8E@(&4{gഈr&(=-QD!@ co׿ < vy~-@ ^|,|=3LjKhĸCu'.5T6C^R'95T (qir<yȕk!w&3ȃ5կmmk|-X^x.xic76{o!;r- 6>ؽHhN Ra[m|qa[m|;&o :X X5DGUaLqJ" 46KEXX- 7><ޢxO0W@<@lu{- YO{y絳wa>A{qM"netF>#CtAY#6xW,ȍmQnlsc΍ WX@(AGYG݁@] >!RX`v#>;q0w|M5w\ ~4K@X~vw HG#瑛,MΕ|fE Χ(L004du$Ny6< ۣgv>hop5U"GcWm5Ξ>֏&ڵ4A<`xIW@{4QB=[yoaKw|Å;9FXHog +#cݎr]۱$x T& )„"L7"o&lBXnnoIo&ELy3fR$ޛI7"o&L⽙| ;㼲 ٓ g>N#)G>S}L9rH[MZ JܢEwrn'dX@h*sɼyW'GN\̻:9(ZdwƎm|g1,ΟY[*= fhư &rC(,/D}d$mZT{td#y'c;>1hjt{;K>X·b 5k4W~ȯѐ_ |ȢF 5~k4V~{\ 6H% 0',Tœ@NJjdag ;AM' 7~iKDк6ai-淋(ʧޏ˯_;>imhl讚6i08~ +A/ܣ| (_=|`^X&o U*w>GY=|oY~-P.Î/f|p3{!ܣ gw!{Gt/8<0-kO HuUamGmFT\,[;% / -oaqc,eo8pѽ'H BjˆbQua2cԞ,rXf8p*I‚ $&"哅  ϭ L L Qv6j-,8j@lv% b̿ bBI ‚łH/X[pXydz  zI#:w'|/_6?Ag^@m <'MaG <;pGt8{@v YRhɌc D:qT@(NxLnB<>JƍZ@uTs } 2GI\8h0t I~5@yKX?ntw<>/8X@r8rx ],8kx| =#8?xD`&Sf6E` Y 6~E`-Zk2XЩdhEkd-Z#kY?ElESO wp5 ~˝hأ;޵* lM:?D>+ǡ;G2N:NY[0&ȎgNԳH 4L'|O( 4Znae3 _2{+D_FX`7I D29B[@XHh;9簃Ka?kxp~9 &@no/@'xiOONRx?ׅO˱%,(ēOB<9 d>ēO٨4†  W I B̫JA$BSO(>UɠzRA$MnMnLnLnMnA&w:?dL\ 6.SAf۪s1DQ [+(qo:X*11|Fak毑z`ڒ^kɿzctO^O>[/\@UxUx*,X`) &(fXab%>fXP{[jI6{AUb%%jx| *o kd kd +o ++ȋ(X# W# Wy WuFFF _ۭkVVV:ZR[_|xJ9AһjjтJC&<+ |/g_}1ӏ>Ͽ|>c%34ubOwP ۰^硔O| qRw1R$ns/ 1'v'>I]Bj<ׂ>Ij/>I* t,I 0O|χ'jj_!5>L czx:W{xH#'"5>/Rf'>Ij07ORw>Ij?!5޵q5$~7~,R1?IjIw=/RCE*>T i^ >fS'#0'dq'>I[[BjU_>Ij O|ȧX/^菐>6|!->6O'@ @T?Bj*SsA/Bjs'>IŻŻ/!5WHkRVׯ;^qƋ׼b=~ q+{A돐y،H}!/ŵ}R3oO'/k5x5>aU?RŌ_BZ\'!5^ ƛx/x⓴xM?TP/ŵR'>IkRǮIZe7d7O~ߟM bW!-7!5^}?RO_@$-އm4$-ކO_xnEZ\"-EZww[EZe7&H"5^H7;U_,exaaEZ57]EZ >lw]ᓴx܌R*~H+wtx{WgWEj|HRwAWEZU7>YWiqӾٷ?翋x}7x ir3x9gw[wx ^67nzHciX'f!-EZ\O!5> iq_ݎoߎnpk?TWk(ƍHw['{z7x,,^H''us|Xu^lolk5__k5xW?x7/pBj|"-SuE*<݌}z|K.vPksZ_X7=YU|jWEZ\$>ҮCBZZwOɿ?Oiqɷ//f|sxz!Ƌx*Own_u~"-7?H޿В[r?ɭ?Ԭ~4ʧy4cRg> kLH}mgMHkDHOH=v73?jpEH"5"-Srx/Z~Bj|7㏐㟐//ooG!5L~~~xaX|Xdq_z|Rvb+!-,IZ\_?^l+WG#?ud?wַt|EHi_!-퓐g}(u_ٌ#ŵ}->~^TTL~"5C!-OBZf}Zuɷ2㯐?BZ\;~_ iq=?z@H>Hk#ŵ[||HU߿.F>˧{aUap;k!-!-!-[!5[H[^_׊0ox7l?vmuNV?KBZ\BZ\ۗ?9!-~W^EZ,n,^H=,W?>Q iq apc?fi~iVf۷m}of۷m}onwtp~}_L~񃱯n#;?i~~rHofaߍ_7BZ\Otxxwo;i~z7y8|lxU:>}~m˺_vAǯn!>,_l:}|qia?|+(Ͽ?>ON~[/e_bW|_k~ׯ5_n}nW!-B:[;\?v?Aݯot}?~w>nۧ}oao? }O?;~Hɿ?glߟ}տ7f}v}g)ûŻw-[}3-9CWU}_W5}_u}_v~~_ p??'l]w>7~>|;?:Do^?m~W]}oY6/f[B:>??_g?vnǻv}l?TW!!>,>nSwߺukEZ/⿿U_jo~#׻[t񃭟'ō;kuIaq_d|_3rz}n[u}ݶ?löÜOHAHWW?j,nl/zնOSmT>ͶOl4>ݶOmt>p>lllllf&w˿{~=z~ -z0|Cxwxi~o[Vv1vjp=~ p˿y'_1,ß2lϞ?[/X寞ZoY[X~;?tx,7˿yO?ydϖ?{l/x~t寞Yo[u~7/yKbqϿY!>,>['ol;B:g_,>Gw;hG?lgo4|acXu>i _8lM{k?Y,~o?mx(?,?,fYH_<[|!-^mV߾նol6߾Ͷomv߾ݶo;l >ö3lk [;܌ՏՎՏׄ^}m'mί_U}~_׬u}߰^~7ݬ}n>?_o>0h7߿~0.Ûśó/n~o?~_|W}_W5ͷ|7ͷ~֯ [7lî q-=-nߞ_=/~ٰkl_K~/e[m_+~֯U[Wm_~֯;:ß4 G ~԰?tw~x~_4q!?OSb/jS|꿿濿Y7/fn۷V~?7s>"-=,ۋtxxxxw}ݯ;WH'l7Ͷ}ol7-}ob_m۷WjW}~oV~˯7f׼}~?wa?a?E:Zz|X?7?w?q䟟~>?g_~/>||ŷϯ>W~7o`]_\\~\G>?msiK#Z/o?OY2mqu;Ŭ=~\{!4tm:qRw-?ݻ'>IoX>xB*|Txm{Bj|'p9^ RunO| .p?>I*<. 2G~ p1i7_y(ݗ?|"w/~/+}ޥ1_}.O_}7I{:z&6G~ߺO_yԜm[=cO?ϾOؕg|0P[N̗?"f|Ȇ;_g? b y;-叿#gk?'?̓>:"r﫻O}u{oطysQ?_q;W%:qm'? wt&Nrj_~>~)}N~#y.)?4Nк~/~(?)c(<,&|~Ff.7'?7݋i4ƒ?ޯӟ/  f ؛4 w>Cm4ε_.L0kmpY._.y~4̆EUG<i %E.(zQk@QE9JB&k}TfX)ui@Ӌ' y0-+`np\)0f IE覐\H~3 m0ŋ ^Hc\s'"j/\ k;H9zxE r/\B\䯷@65k.`r9.`-pܡ,E [.PZmYo@4-w@3w.] kWmsV̓E0+`.\\ɶo\_v6o^\߻f J(bn X`L궐i!. ػ|Oof׻.B F ؝B & ${|!!~G |[?| =!~o s|-=5B ͜!Gww9Gwwotjo]] Qwww;!~9o߀,Q |xxx!)Vwwwww@5|xxxx !n/q@߰a'7@7 ..........0 ۦ_WqGO>ZyB*4<'v]@hU`Bi躀к؆.0iU VJ:}Zqųк@?TI۹V{]@hUOJк@[+-Z]ZVuU?6գ #B5]`Ҫ@NgU>QV9tuv\ LZUzZq泀к8U&,nwMR ~hU`k. .pפ LZHwMVrhں  TtI|T]@hU@,ꕅ/Y endstream endobj 152 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 156 0 obj << /Length 1420 /Filter /FlateDecode >> stream xڥWYoF~ Dz/.҇6 )RX@E"* Eu~}gvfyJH1spU"P'VjuW_DQN0l){%7{(t15I)s6Yne NWB;,63+Fq 漷a-t֟r0Õ>dGDƢvzu-r}tCON2#әQVU.&]pbÆ:-Ժa <[~()|衎]DŢޤO E^+hiH.*E0K|u+sZ7m}`yTtzX D`O4%wcBB`?qX4'YR@L2>]NL3vvvtP"jhxU[=Gh ays[5;b^ @HKaX.Lv7! ÏFSeLsHl.L>*p_)Ci' % o6:čJ?\ &uFg%s\m ny0=wb/18rv$>['Eѹ 3DP0r~ yL0 n祤Ã{ O-T^Lg/ t䓵H:5?s!ƅU H~gd{L5:&K"Ozr">(3!K;"߇'Lv*Ɩ; cQaw$-C Rw xSsq:Y54U=`8,E^rNOX_BS"Pp\[`j8 UcGB=!D֌n,*f#9cԇ/9Kü'UN 笒yRb5qӓtS\W%rS΍4O}Ws[͕r؅Y(~(bl~l@bXws}~K p-iΉ #1$6:LF%E4-I )$CMPV&KQf$+>Kut8 C~nyȬw,GM& 42UlP;tn'xI{) |C<}{%7p WJ:K46d g 4K& :`v4͌L11I{F3N@p*Qw{fCf-Y_g7*حB]>܅$+4q+R|XG5]3tXkPTDvu9yzoz[bCA^Ir+ #P彊1lMzy|Дj PV endstream endobj 143 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-043.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 157 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 158 0 R/F3 159 0 R>> /ExtGState << >>/ColorSpace << /sRGB 160 0 R >>>> /Length 2639 /Filter /FlateDecode >> stream xYKg 8"9>z l9HSUfV[aY]=JqHMs3n%t+9p{_MxŜrآM}᧰7m O.=naX-t Dؽ*DgvSCrz xTb<XOVzl'+#-rvg;P[>P[iD-rvhvEiM K=| wMTK5veLǡӷ"8[qMJ {SLu(YL2e9BTc ].M. *hra#0Q!X7D`m&#[0VѸⰉǕDE亢mCS" B# sFhjbs[`Etnq(Vg񃰉)}o "i3F8Q@Ā͛B#@k@b0]RHlBiq07EDtw 2CFvr&$뮙&j7\d'YNVҶnvrI|[Ť*Yko@lqKqjx&v&5rѝnoFlM?o )FO៛C{RA}4l 'kOsgPol2EEX*O?1~!M@ 53A[CabbHc&]3Nl.l[: `)`&`ʠO~RhIfY`yW)1d , ڐKG12 dO!ŗ b f640qa 4e8Vp 2@\|}EZ?d>о$2#Q:?E"@ !+*Qĕ7CyޛG!/(n?YۀCY ܨn(Cؔ/9ml}$nLvܹ1o |j#'+~|h53<_AW>!QM/1=~!&fؕbyʿ Ug>luǙŞ4y8.Z~eB1휏Pzi|pA ͟Ɍ֡S@tuqf*3z~xʸE>P|`)n3j03RȌd4}22Q!F>Hu{ՇDbp뉭AʬOs Ѧ@L-W&"  }G"no'LzfF>ު\!a'd\T7_/ PoXzFvkg>=] Hɛk{p!HvKakvpb֕Pv4܉4gRܦ!lLA;ln)5T&o~&lUji;| 5N( ; :{ҽ YϤoU#Nb gbIh.R94E440kЩICZpFҐDuֈ]N Fcjԩư7X~{ujE$c3^5tQ]FA}Q;iЙ4 ˢ:*UQG1G1CiQ >5T&S=+Ш7v'cv1Z#g)Ȭ].@Sl+wyMQuV O0ûCӨkUooy|x0(<<y'YhlX 퓼þO>;$/ í`^&˚k_I~Au,;|oKOGR3>m?L teGM=WY}y:v;<.\? 3tO^OsG?W!خ?ݱn&wWXK͛w7+p{~cPqg=Y@;ۑH;˾?㨴z>XN>i uEXh };<֗;ɻsN1:+v'*=7/ yswnN(m_ vC!]ᅴHuvKd.eӓK"wBd]]?z9d+yUC[ɳ_b Ó]>LJ 7?SD6};=W~y=›~NY^'MHG ]bNQ/jmbǡy1"]-;<=t:.wt\'UEC*?(i+WmT,Ecӱgpj?[q)ܜ??x{"v l`hn#'L+[> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 165 0 obj << /Length 2297 /Filter /FlateDecode >> stream xڍY{>P_\Nl4AҤNGq%~s(0x"wggg~ܵά frgg7EJSVξ \n^ ~V,n52w3Xfv0%ǭCvmȎGn[_S6u zgW 6i϶e]>E<12:>?%Afq/d^bI}X gy@7OfKd>2Q٠u2yk zbkn˥h#V~o~WٯyO֔UL"Xv'x{/#DT%AY‚^:UTчw1r[6ě{W|eBnEo?v&^?w}2"{Λf߉D? |~^f: 5dpJ<=1|o55[x#)[՛k@׸xfN]OE5HJ/?N ӧ%@]*]!Tuvv#h3ym}iwl- $MW2d6~47+ln$S8J5A}Hv@1[UlmQqnƅhc{ hҰ ͺh_VYpGVn-JӅ]•cpAeÿrS4g}KT~#v"aڜ$FtT{р@Fq tEz|@.[n ;` ?+M< L}!Ώ bݦ-S#`gQr}Whӎ L컽ð>>knlw7*17-8d}7WgKۜy;"9F.3'~G~ @T; lQ)wzu/5|C?;zԾLˉ[ ufg9x.SZjz_@KBf m\k"5zSrYg}/lzi`s,w?U46Ge>L)4E^VatjU'KFx@T9Lie˞D/+LQr!O!ws>ǀsG,0guWhTp'?";J,6mxUnBU\b.ܡWuo+&ѡnx yT!1b^_X~xnoeE/v;YcCw'r6٭N'&7"p[ TyƦ. g> /ExtGState << >>/ColorSpace << /sRGB 169 0 R >>>> /Length 7706 /Filter /FlateDecode >> stream x]KqnH ~diE b@;p [Ti60FB#lvWzvO|>>^?=˷[ GzE( OGGu{T :K u*%}B8>a%Y %Wɱ!&UKidѠݛ VU&h\L\MEo콹@Ln-3{. 6:]-A'M=FTLlr-hR X^H(T8pU4>DO ǴIXJ]Q[gդ42¬=%ELt'؋j/6@TjP(PVƫ:z *6uMl,-!>b4.R,*nM\%޺ʹ e OZU\yBUGD vEuY~Uck|TH%+I }S]%^?c}=ZhPxE04A"K.ȊGYi.ܧp-#|v{KoMZT22IS5yH*8'밂---U!ɴ eI#-dx~H+z (AxE rXܔDD P)\=}F I:GZ׳q7"LYay&XYʠ}]!5$-e YUJǿ&>_*:EM0t!r]jE[\R<`m<zorcsaaa㋸̙g>ceY{SI(\7Kb5riT<Ƭ~HE +.9yPA;)(.9tع$T.e3oJLIjW+QFty!}$ lD0dЖ$.D9^!$[}B?oe^P}PW}PfXF'2BEQ-yR}* ׫. # gy}P56K"8JO,Q$ה‰:yJ!Q8xeR3VZ6͌r۠BjV_=(!ʿiO]^dlM}ɻ{V>?W&v- oaw(>4EIlopMV.laiU.1Q'JYJ{Z1{ !^]B:M5஦<grxx4yRtȻj~G11GuR^@?%O =HyS "UEO42)s3MuWiL8s~^qf8UP=Ôtu? P8cP ,r.rE`bH2$'iJ%S ,0&<zGT-X0~\E=vr&;9"Sv︯eܽL&$w84;-C$aFG+} YN+meLAoh(HKWVW ;s rZf$Wi Kh -Q-i5$oԝ=4 jDg{0}TI @byH,}{ g3iB am z58[ gr>P 99+45s*K_fV31\WWWwGzV =˅AJ)Na%l2RHq񮚴4(x$) Lm!(P(sWt6Kg. 0u?9y8_"zHL$2x5 \5 #s,K:P"s^ΠPY Y=+.$? 3ZB]Йr0ʠOh,@Nz*ݓ oOTb" 'ZgN+,VJXra.Wj׬,wGz־wo zq }JГXzA#l@GɨΞyib Ւ- iVՇy.a{gGbarfB/g@ [|fϬA^w,8jps2j@5>!!* upv;#H<986HL )hI'4H{cOP XKh g$_Sfz~0 *n)ronDvs$j6I&ʠEh^)ЫB*> @x.%NUK'X3TB-81mU94Iu@¼$0Rc^m_ܵߝ^tp1wr C"Hʛn\2EL=]K.H)Nv:(2' ʎBϤʋ=- RoZhY+V1ol7 RzOLSϴ>SPכx/s(JE?]B wsl3 @̀uW}ꜯ.\)zEdQ*n2+uqz_Ns!pT;gr&ma-ltT.,L(9gL@JNj>m(w020dJʜ]2iMWST4KՒ]L7w1hxjTL|A"PϲF'}KZ,WŞ8ЫK$MSFEȽpk"Bɔ5V4Niy@jn=A~ k(I$SH 3|bcyT5H?9:0]=_K7?LMb} 7q (:/ X'1AoTԴa} H;-.{I&=i w`,; íܞii =Z)p;  u-V>R {b4O V_Х8+3p {=1:PppCh..]^I7  5ޞi$6u>XgOq|ΛLEM X7E] Orc Qe7DN7Vj@/7hq zw1qQZM&\T'/{i'Wd1s7 mE\''ތZ%{HbSMzL_2K\!-oM,^7S}u{iPBAB Hj[bd)! oeÔ',O \JA1 b@ߒW*5RGnơ!Ze8Lz 0$/*kVez9Ӡv}A\mг\ao2ܧ!b;Fc.+ 1-ڍcǮ4O[N2d/zd:V/ Hډ,1#w@ 8 H{34ׇ3 > u48$'&u^7Rurg66R~rZo|S^iXr8]WvD [~zAI{Aho,X.˚qj5O7ezԽɨR)ɔDeÙQ.yS':ށEHh԰uoWiS>Owԛħa@2o-dKZRw^)Y|e1<-Z]eq^.rIZ HiY(gNN65ObE.F.͍ ͍j6X) \ o _RY ;lM<I@R=:"/ ;vAA6>Ain",v m=,66!H[#*J]EN]ti+$@i c( c'4]5 7RU 3'6#H]Py _{8ӭsrՠ7c'riLȽ׻\9g^oy@cZ$Qtv`e.kE\;ȷAEy@II@:A"P 9Zr~_sa@݅ R)doڙMRfoPo{;9O#=0&R9Җ v4N75.gS4P4PIgS'M;|fAߋRՀyjr_0n^0H͍w@Q!Lahpd6ڑ.+G,V>j @B<Ȼ ͳٓӟ 6pONc{R&m9Hu^yGjE>2#Щg-ҿܨ<\5@jeg|C?OW}b}89 hЋ[3A~l*/+3R;\4]_x PZ&uf oN-|\A:'Fґkf@>>ɳI YQ>XQkx-~m;>Y~BeՍy_=(}?1u_}/kmc?㳿|w?|1!u_O@<>?'a/Z7 endstream endobj 171 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 175 0 obj << /Length 2601 /Filter /FlateDecode >> stream xڝY[o~ׯ 3CI?i ?P+Jbݕ+)pKj`PK̙s/~(lRƹ"NTcMRYN.OJ*+\x[sS;x\eKӭiŏo?8ѯk[LV]m"w82r;L$i`-=a0~x7L2mU^rՔ mcIJiIYapt+SzBN:~A\{ܹNV/M"F9%I[?U:^̘;RՒrdN?. :dbb {xR1TZfY? 7ܳ NL2jɄT؇GP.5%2VQ^x./$y=Y II[$斸@y˳,i)ί;b.r~ tW: Q.=+NJT#Pe\k:Z˜$ ϼ#NQ>G $Ly-EF}#ly˚ܓb<3F+m\Dl~ي݌f (Au`E:g FT ;YiN6R@V`#D?7r@V["`JVeo(*9pSpZU=3-*sXxY|%6)ʡon ]R<8LJ7=Ep$O A0:F0 +h0.!O|e!D^wӚq[ٻoxG5sELe&W7O2vlX*LmD'J&Ve^&ٗ3U50^ih}w3s'ET?ə&We? Nby,xDI`$%E1+$ >]9H̷$Q,ABn;~ΐ ؚ֢}6Jl)5%M W0 u~?-u! )DUpڀ b]El%b1$Pjx>/a` s"OR;-% yF# Ճ'>[AÒ{-kGO+mS412Za=9gPsNyp؅xy#0eT!&KzA72y6#\ Zu0/md Yde0v)^*rE5яe1~q>L缦eWN0:ɺn+fi,NEiIב\G.ůDtm09U40&^vӪ\-~a RS:2I{Z]A|z#CiCE5 +hS9 WFˋTidGoO&4&~@{#7f Qک*c(OnmB@tin䛦g vBE[$N2G:FlkH!~ztDQKL$d=3fEHi9k@hN_9YWRfeIlUQG^3ڸ|U7eȔ#83s8|&^tTHs!zrS8e qQY9pEPtINyߛxg$¦o}˸x7kw2yV7.!UN|f\j2W獹ojjZ eӑَA4z?Dێ_|_B/ 82rOǦK u{6 ݕo^)a [#ЄyD^8L,>v g#B"vt(g^<1sv>FS Ӓ}ciM¶LûkD$X :md+X*s=_+^NX =GØ0ۛ%JM6jO-Kj8gďss> stream xZMoFW>Unsh$Zh,Uod+Z$,RQDhܝy;og8bI=)LKT`VKXf0/ÌbJ@ůzT +(cf=SVI%P$XFL SPK<40(y(l}`jeN8E^ Fk%V`8L#6V9].@n[1>5f:O]-6JOp) @}^"4NN^n̛Mɾ9N DqBQoU3Ɲi~*f7G F]}Z5u[H`gY\R/-SņeSyPD)x)9=#Fy/lk5~2VϪ;@;v܋V Yk^7帼n(fɧq>ox}SO?y]^i KN5qƟ,xsme)Yi5_mnhchI I\L-JO$S Or\+"9rj=yk qO)[.pq{}x#g%69r99 S. W* ! L*of$YPlviM+-=՘~2E!mD@̎Y4BTA֪Y2,F(:F(1ѝzE˴iYJBXU_[%܄R)3|җ^nIXH"[$׊/gSCI)[Rc_f>y!ۆH_1&IҴ)IzK6?d%b W~m(SM#>lXud ^ 8 gKJnʙW*fGHɑƒ^>r44f`w{CwsI}צw QuR(̯6<& DΝܾN^(+)Q<4?)q^ endstream endobj 172 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-048.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 176 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 177 0 R/F3 178 0 R>> /ExtGState << >>/ColorSpace << /sRGB 179 0 R >>>> /Length 2725 /Filter /FlateDecode >> stream xYIo^b3ݳ^(d,1IEq}߷PQf饪{%=N%L?~Nmm[ɫmÒ5Koo7E!oV,ғ/yCIC[鏇Qi֭yz}X~ =gDuúDmku#<#Q%[BUF8V@e37:mވEk:lxwAG1^J>P9h?Ra8uq'| V&:hBX28xGX_$xBH?.wAL0 XSvh?+? 1dW]&> M{Ň75Gipd3k~8#"^]LFx< (oWsiã|0v/&[nzH"?F{9!rEECB4 >Pmj߶I+%MsE>V|zSD,E(N\YOlQ)xPPKA> x|?_ ݿ, ˢ!Fv7zDE8THX-pgޢՖd:<-:5ɼ_ (T!zY7x(q 6Pl??\8ӫC[9=y8%,v=9tЛzGo>EKxu^vpM<]9Q ߤ.2p?9 /Z Uz)#>pi`ݳ7]L7O|=~hgn^0fэVt^˧g/sӇMDԯ{O['r@=~x" Gdpwx1>Eq^;<H7(iXk?_"C{=t,@$i+ľ+8*KP8˟y"Y?l1/#|,hzh?fqfm<3a*{ceգ_ՖN<63`'o޾;ka endstream endobj 182 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 186 0 obj << /Length 2003 /Filter /FlateDecode >> stream xڽXY6~_a"#Z@6h>9^yWl%6i;%ʖC"9fǗnU2r)Un*]^=]ǩћzh_h[h/4 q%ϡ4@{(c/^ѓ%Xg|\%AKoe,NH^rH gY[IlCiLm;83ܭM]~=L6I~F:G6;i:5`̈Lؑh }qͻ@832*: 42-Ys%Hh8XvPy45zLl3'ZVm8wmϪ #dy_'h_L!䣌] !8 |)"_pyPJ”t.^(")N=i\ǘfm:5+S*K#$֠sQˑ~!BMc &j>ap }4LV0ad( QӜ[s !ck gUz0 ur& /j+m&,|މ[]0*>Y t2樇Al;n [F՞EAxkEm}9?X>Gލ^͞MD|=O399Xs_+z5~5OV~ܤ<>A4.0:E~י"̴t{ L'1{D?z}%A2z(s|,_OxC'卌ǪsUS687L2CZ;q SxFi=e_BqDnnɺȀϞ"u Z( 72;ZKqډ%{ R?"zpzl8aي,3$[dvgD:z :2 =v:0pf;@P?+ `=Dizͳm`XKD4t^z ҌwiZ.a%TjvLϛ˗S<UMlJL`*Ueg̤ǤZjhN[řʵTpOJleR&z Q(_:.j7㎁SLt/J'ٙt.Iǁ6ߧZu{7*h҂1mTg *?stRDqE\RlWM8_גU\t/G)Tk /՘=k̦GuEqLĆ)Kb࡜$,$yr30g_-t>GwR "9hM*t=x~P2o5Vdv!sRhJJmX>dI)3nr:U 07 @ءJ]x&(zU8A#ikp0L(;:^A$KrsaMsPfO!;SNd 8 ʖG]'o1T x^+ lN>ΌO/'z|\iƋ#.2-[]O5a*¯\zM 9S%/|T9է<|7k42X{ }guq yP,'prR2I]%]s\Pp[ќw[W|sZks8^>/H @TV|8,z endstream endobj 183 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-051.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 187 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 188 0 R/F3 189 0 R>> /ExtGState << >>/ColorSpace << /sRGB 190 0 R >>>> /Length 2790 /Filter /FlateDecode >> stream xY]s]|b; 8rI**dC >={rdcQ< gf{f^_B[,VJCs9~Oq)Zjx_^|bx~H1{yHq1|yiF٪WP 79 *jns3uH#ܒVrZs͑F&ʛU!>pD4-];gԼ)4*QDc(@Ɠ͸"y3m3lm6fN@NZk^ےVZo-r9܉͌x)ʢ)&B&EIpsaj#>Ziksa;'MBHA9[Rmm1b(3I7l>7f>wpOB')#9m-i[ykil .8)hyϭ (8jh{!wEWl $!L$dI +:R|If gz Vrʐ/.ә× kMd[ݢ%R A9$7]Xt7>tI5y) r)i(?Ot;]|ARE-h~1(pN xؿۯCVW-5M|IRzhXv=qky @:Ut+-榆h5/4#myhP6to6 ,Acm ڙ5G6A/LJtCXi p |Ȇ$ik+/ 7qdLP 6deLJ>S7Je L|} Cp^Kl3pͱߔ|0t,h]|Zg}SJ,`(v>3p9ٔ2*i1ЇΧ\t*A-~&{t|}ܿpD2Cj}=ޠ-kHޙ!&)?䢒ŰL@wǝ|`|=xK['[|G8yB3w~f\|`pq!,R8hǥhw[K_sCޫ wtM޼LEB#7=Q:zQGCߍ\(T8+a|ÃV9C!줉 | \_z?qq253DLz"~~Oۏ B8ʺ>(-cq{BLK6)(%7#1v;՜0m{M`(`>w>#Q*3A># 37; >y=|E^>_g=#~=;ʟL mW"dIznw֋,Yi^̫`"SjײK}( Aޫ^lOHTՋ+^y=Kb/#kwx&XNͧPtջ!pY/BMb}NGv{V|PW!҇.e~SUBmB*t >T8tD`C⣓<WIpaRuIk.%_IU.,eIbSqU|FHlE:澑ڶB/-*V)\M=nї!Yͪ{cӿۊWhr|1z6{?=SP ֫`H7;Î)Rp[?/xg<;OI0x:g=42γ{s?A6տW|8f<W'KѕVt&i>0}M3ʬw珟Τ ޙnN/tJB_U*93BQ&kg% q}|q<:>~vsۜ3;%<.gMHMNNcvWٮl!ͯ]>䛳kNK%%b;d/݅Ǯ]S{sų/~_\}o? _~{q@Rˈ-^^/!Kx=wGkY'f:~eyYmy>-&WGx?-2xzCkKx͛ Rw>y@]?̙ endstream endobj 192 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 195 0 obj << /Length 2535 /Filter /FlateDecode >> stream xڭY[S8~_S-Yl^PN!v }{8 {yp"[:|Χ\|rӛ3_殰wƺԘ 6\yp}{rfj?7x3iUM`㵆L١LrJu˷h׳CHV|l>.2ӧgn33#|7>8/ndKoD^Ye<; {*YW ,M\򰷸Ɩ֢YI0$d-"b4X3P#wd "Ýݭht L|,[^KonZj?5N35הMR,XȝMPUmܨ=Y&C|sZy9o4^fy\lnl_ 'YӲjme)(h*Kc<|TjPp«`nS:Dg~t/"4[[. ZzGKnBO˸e0/Z͆{Vln?lDԬxJ~'MӍExdo/YdxV @1:2)0ldגѿc^ˆ$2d&t+= @8-+mg:YHu wRWC!%Y$M;~|M^?WY'W F-;N׵q6{GZ@pJ55ޖ43pV4F㒅2nO,5Oh o("Yw/C&!?3bAEO/X<+TlK|xYM۳pn'YtaKv`Wt;6 p]6`rÚgsxgZޣ=@D%[0Et*|rYMrb&N@N@Q})MRRe+0ʫ-$tA̶H_q_ 8@;k|AɃ:xP@Jh&,E.wg}s'UԝOh5A'j?l-\A!.qq܎k@U`TGppN`*["ʓاNc"5i[>l{ۀr%(<^4}Gq`N۵!wr^]S(>WZ<$ϑdr޶Nf9u\V?@s j´E9ح0>[b8V8dzf Pt?fi5m>.L1 Z"a=m ܜ̐Fs.uq@X/׫(|nޥy9dC1+Bl\ #9{AIePtCG{WZp~ hJyQD4щ{K 5|}µ՘Ay"'VOc.a,{ !nBč4|" jL@9a(Za/x6q.)kVD R+R[Q}\yJRJ1Z@[ZN~% 8Y_c$9vwXP Ơس`zrizUXKؒR]l@@8 @ϲQ=GXQN(S?և=YfF Ue9oдeIGI1(cPC}4\2EUK5{MvynM(Q'ދ/{Y9*S7AӳdaYAnI_0&>)}0/"U+AS?Oz}YXvVL| +PJV:#\0H|ѣ`NkʳȓrcKY^؁EL *;Lp9œ0x 8q@i 1llO9p,#< ն>-v㽰e Xƌq֗TtBsuQC S.Ȋ[m?,sh+$` @.kWpݑ8K&.^`@G_]e/nͿe7&kT9Y+Kw*a=4AKf"w9ϱ<]f3JwQ}<2vp/Ǹ~M" 2y2pͽgrQqӭCLR\_rmJ2&~BŏSELJx+aǑ?ͯ7J endstream endobj 199 0 obj << /Length 3032 /Filter /FlateDecode >> stream xv]_ӗ!<؁9[$SRGBE2A(=N{?_ Lku>?O Qbt U!cP}BCZU@_5:ÿ`9?_=k7X=N^ xY | gUJ"Z0!.t1`!j~ \ps|kFs0jR/ݤL߿56,`8d!7+pגm oÂ0g9Pa̶ $2$ƭɪPmfNXȹp \ (Fa|6: fbQl@{:0*lǑvLPd Uig1ܿpH0dgW^,'guش.2D2{u%h5$F̓LI s(ulZ7p !h~1% (/=*^n-@'oLQh:\p= WDy q mH^d"E'UI5o+38"#9DV 8ʉfAF-nt?#mkF+?Sl%ҘH޿~6uIbL_.dJE~T{1r ~&:I]W- ?v \x)*Ā6dI\u<R_% lSJv2 -_ JЩ"=@% Ǫec|^cd l~XXȂr4Ģ%M*LW(3v>v^U|<[UNZ}賗n|0-矾_}h7sz-B 5PF?4(QeQ@T'EZqUZ(E*h"3 ~jd sX}B8.֝A| PP@TDh3Lm8lOWO8CS_}P@ c;_۹/rN(, 7cVqj&2v_"LdD,_WNB hػO|{1wq(;_;Ogg+z8s)}HARG\Wxgw,j+6m&ߣ#eM ;ML.z c6D̏( ˅i<4'6Cl8@= МII*! 똗gH+N{ˍ$넂d({ʝ! 8 |Q~!gl.4QR`FLɚ㓒h`_RX#^DbcRM^)@H ֦3zuO&Q;m~H p@{ɼg뗢@+T'HI:c1IBnʋ:h;Tꐒyg T·@eg<*BP(E)Ԟ(%d} 񊰥&+wBJC #26o`%EFʓ,'L$>(ek/3iZʒ\LfY"O?XbRK S`Y(n +'3{tf *&m }^?*hJCjwJXyydUeWIDa}*$?:;Cq8 őC^m5s{1?{fKH6Ý"\&iMRSA(n {–&IrpU*|p}׋-=D7r # #8.RZ'W߆9hd]KUqϘRj H1l {zA7h-4`-V|-T{y>Soy"\v,X']4 ѵ?EBA7oflqM>T_P2G!6Y> stream x[s۸B헓'I5iK\I6ml$'qwwxen$oO~53/|۫V(gnr35ܯ~b>[ϗg?nC[{$ܽ;[ oJsNhof2vt.. աZзm^۞93~@.[oڗGhlA?y}xz{:nQgN{Rnt gz'm沈4xҖ:u7R3PBےά00GR ut;+; ,#%PGʖ5 3Ay𤛣%acO7k/KVp[|kӳ)lͧ`O@+ lꥉ .T\-BqBs/*ԀvqxV IY!za' ^qmp?Z5b}h++F]gO7Wʀ hJ: ,N03nt>@z1iF  H3Ҵڴmѡc0%>23AAMy7;Ҟ_pO~' 35'gME]/6OA.mSu30Aﻞy'1. 5 e,䭪tF I?i*Ս?Tn(cr\?]YZxlKr~ |cٵ0 swr((NSs ײ8XMK37ἦ#{rdhq{ olr PaVp #YS,ө \6u FaTkÈ )L+XƦK>D֠ FUMe_y֨g cjer g: 6,f {DJR]3Aٮ(NRH7?KBh͚1 k , zdv)oW bn@v)&@̿%-XwӍVȁISMP}Y}fY!t" hcr>v_& I{,2۴م9}蹿947㈃ApIJ3>ƚƨ@#|ϰP'0Z '%ie mJ.IPs?fSjb>XBͿJٍ .WM2>nMӕIKbjh]T>f>4#|c\;SKl `az.CHƪN ociйnz*Ub 2^\UR0acLG\Wyuku=4 oʈ4CXwb74غ?$2d~߷fn.](UvA$a L"+rFˏl9:y!wq82h7f 8FO±j`H)8!R<TW1<2Sw8ue5y~SU$Vr V8Ov(o-:fPGv;>N1.'i3%-Ke{ZCdpp=-}|ϥa&:yj}l =HXvuY^ crǘf#+ DTD1EzD$R*PE!S"x}s3H9mitJķG𓯱zַgT"<o` w]RakŋN@0arb 7FlT6OYZhք@K(^uAY.','kr."":\?ͬdai}54 :_+e /7.or1<$X⁶Mc!B\=)!4 Ŵl;i'b\k8Tò,:FyzG֚f}6^4_M,ur&XH8e6p %G95RwRX5|$Rmfjؚ] cY$ф#HRxiG9T;y ߳k.< 9#w7`1QZ<Ґ KٓBUtVILb#+W ֪ ĦdRBt{9,ɩBx8Qmr>ldEՓcCk<Y">,/{ڐOqu:P#@&惗:߻wLa?LPE;(#jUܾhr^TF Fod ׵;Gu_=X';?tFa:x "Îl\]8 jCTD6B58Er]`>/wLk|釰O p͋Fg~jy.Q߱~ 0uvrJ˳/S1YV>$.RG `e5ݧmWfuve4TT# ^恇]Eߒqcm%]P DYQӲuhW9RY6QYN][lbJQѺjK;k=?>l2,sǂ\uLBE8\*.研7DzrﰌIbB%8iM/vU#z:KZ uL0-8I_>тz4ḋ"*YiŸQ> l:}uux_>vYi !37[]ڂml /L0!e&`# ӠL%{ .h\ &eOhh e2eT :^:*0eP/]BGcξ ,y_0Q`bd$|o & 1\3Á^pӰ\¯V0QhŦp3)@uJz\ȧ}b*U.qxRMC6J_.=("?ަH7JAn"TRO5?6;dp}9YDuCIH5AZ؇R*̉dn6Bj_`u_ۣ@0ݪup)s.n혆S364l9'jxC& {y:C=ӞL,$Cq3E4.Mqs@x_)buݮT rڐdۯ +p4*J6-EBk@Hu *UY-C^c:s\*mqaPkg,hzkIVa!j۠hMW&; FV< OdPIb ^Jc_Q֍T$KSkFٹ %>R ֤<<F>wnEn(*:#WV&tbX]dC:"'U7ytx4ǹ&'SٿC*+72Fe H2<%3ӑTՀ7< aT0ZѨ8n7 ~x-m4<慴P&e2vЛpU7ceEaxN6 wO;j72haYIƀ`莶qkZ":9w,[rwv|U~RapӿHrD(T~܂*0PmG endstream endobj 207 0 obj << /Length 2940 /Filter /FlateDecode >> stream x]s۸=BHG|`gr35޹MCeb)ۗ `AR;N`b]ųY=ESUzv !Ydh;6z4RW 1?nn0 -{7n\pD/ӍB_!pX⏳reј&rG(snc_$߯*R7D_scM~#au]Tu_u㖄#ѷ0=Z[FCKX-DkhFMsrC/Z4b':Sƚr-.2Vf5!ҍ*+  <fh=rxΘ9\1P=M`߯ S0ߣiO.%#&5kc"=Q:+ω֎X;ZB.,zV<. kԭͼ#],e=oaK.?W;?;=ND3лa<^! ߸30RX#GB#rK t/KՔ.Vˊ7oUB"8cHD.<6եlb(ٗN s}Z +D*Wk5!_eML OkSZ=VB)0^σZy|ZXㄎs SVTrńC+*~ SFjn"u̚ 7SyހevV=EtI1e.J9b_7$>w9gfbXp,(ʄ~C*>֫ҔG㈪urڵ2|D}_:k3m?aFy=do=~ 1z| !uMru\(4`ib#?n&21nٶҏ#r*j]"TXPՑ]ֆqT3]q}YyKZ/GڭT)US8jihDztcp3[0~ V8%9ح3g%)0d>*1"# Z0RY&>}H܀-KD0f\/B]#?0숖;q9pQ#g,& .jțBaYފ)SBWmBJ.sK98T3}KAk-,oL5bu&I9d\b1({rLr鍟zKFEӃiJP|o7n4 2?B$QD|.ڨH[ Ӵ׈hR4\>ng?5҇4y,u7ؖJ I4&XXry8ӈ%z}&љJgNj,c9?@M@Q!zyOɓ3?Ҏ*@m )2)0ph&vر"Eb:<0t xr:E/]S/ۮZH# A\'E65vDJ>&|r0wli f™1R YZ~)%kšd C;jLBFź?l.xUzӝ(0-5E?D|5yX踁np2XNƘQkG!U% h + \e=xXh h@EKߐA0M Zd]-j/t̙ ?.c.i-m$Q7ESV43Uؒ\ﻩʿ,j k6Qbth+oSq_#ꦰ_vBl>ױtYh;v/q[ ]AA}1]n&㐝vJ;s޷}NI籤T^uB<OJ"?g]Q-rɿD3`, A.|En,}z1n=H H ObWƋQ$SWUmħ(m֒5khb"- Χx G0Q%ksf;__F,Ʊf&bH)ygijXM$ YwU+Mƭjot]8X%LThn倿*-زaZNQ/M29n -峷6I endstream endobj 211 0 obj << /Length 4175 /Filter /FlateDecode >> stream xڭk8j1tSIօ]S-.d;ݝr|x"yׯ}ܛE]4޻ū6кYT6. :\𣗇pьw.7wzu?ѻ~7[Y*Ao Uz.媶9:\U縳3a\+W- CT#M\v9]wD+j*p@]*?"*(l](]{}lm`VH0g S݋t^3tτtE{[T1b*q~@8*r۷eAMy {T1~?Iޣ \ z/Ǎp}K'Atї1~=I;4xhDjGIy*$!1"lUuX]4z^9#zAkmQ|uD ~~ٵiF+f`aƐ0Z||k3Z\W+S?*#[$i']l|kVZwe_[¯}L]´ 1jLHdFldHx@.d2~p/\gFEvnx@@1r07M=zN6FZ`U;aR=Y؟8YvQ>:UQM *&WOgr2ZRB#]?|07Ih_17<<8m*&E{O:IJ+ܞ9܃7IUiu*m>r+(КgZ|8]Ԯ99'w-ϓ( FNqd78`k;it "dH`vA@ Gi$I22`Y.04?%L> $͖Mێr/sǖ@ &Օ33cT`4b_9NHꍯ ]5S?SmpeaRH\ $p(8:9 xA~V/ʢv$BQ~ܔZ3Oy/t/Z 7GNI$xkR4 n S820eG@aF.PusH5;|Ǭ**El7aɏ܌VsuH-L[|RFbBĥsZGٺ̨EYXMy%PB=xL%_9 ~ZK;>a6%Q.)"M.ʄh N;$X]»] }4ƥ54q&q|)?n1χJ;֓pk$c23Mk/NީXSu+A۫d)8fق"cԑ=qBqaQ-BhrT!1np8t  мkX<m)T5D<VVdڻy$1pd ::Ebu@T!pچ=r} B74N4 Β0JLüz88֭Ԑ0{gBT8@qŸL:ql X|SǩmZhU:A *ӝ*xd:0sBǝT9A20!VGIggX۱".@vCUYcݙ! dPyᏘğr!O-^?Λ(<]ƟRL?%hKMKp=ǔsG|xHyާ7l9-5X~E^/sS4͠93#myeBY3(}ZSe(73(Y  Fxat {ą3''}dVS]{, G-#hU#$}#a܊<+v.(L3`9M8:Mp>~^dܪvs޾pM3B2ɘ[GH5IAsG!~Cy_z8 x]`E<2 ˙e.o.wTQ*?P4&@f`B5i։se133$ -v<869~xȒC.&Л^7E8~RP <#n5|CvfZ ӿgYAt:z!V˶TO<+C|M>]VyERT4Pk~T=Ti{ (>)iQԴE-mjJxe… ZleOT:W4Ta{P6\їWl`Ad[Gߓ*!phF(D߆!N/Ha:ǷpI X?37DD/K8T}8Αd%^ C\PbqaJD9GH{PnJr\<*Esʤ¹Rb+@m1 lp^5!M$  H jn?.m9zhP s6N;ݐVBFй?eȃpfe  s:\f3*7#Qי;%YQ(kF̸?Lˀ#|gŜ[6tO⫅ ~7|Ϗrjc{(MTpR[\8!4:U 9ac'oo oઅ{2(JS\,6f,ͅiτ .hߔpj(aݥ~J7B0= 2U,83lϾf<}NЯJ17᚜V=JFpWX1I2# jgwjgZFw! KZPqVx- )sH1Gl澮?:Yr&¦[94݂(G5OgK6׉ =(B=t 2@ Ż `kYU1Io=KGURwz $CqfﺨlJ~ke {҃D/xnjBG+LM[&P2OV,[z`9uE qTߢb\s1.h4/xT"]>O{r\5q^crϥ٫xC{OKma4$?ƹ,?]|?_"4r$}OOZQn@iO(VЋ)Lp)*8obfa~ 6yx~ (_xZ7ΗyÝU*T:ά:盷+j .o9ԥX]6MNh99"_ZŽ`~[*c_}* \h~ё|A%P]{[\7km?O](X Y~aX2w Y))]QW)N$HLQvA٨f z0{hd$m*HKRff( hh0(u!:1Bᩔf! endstream endobj 214 0 obj << /Length 340 /Filter /FlateDecode >> stream xeQn +K51`FMVɷ&%;iD}|}wYD3 "Y C23S*c͘}frΪȸ #$ӹTX?ҰscESzo4s[kX}dRWkŴBYꖽw.G^ ޸T>CeF$2N{>BxO t /(gQ}X)\Ha !H_lryG0`9EX FKFS16FsV?CpR^ I(M3d%6|!6NDCRiziQ N +^owZ`^Wɼ.I= endstream endobj 208 0 obj << /Type /XObject /Subtype /Form /FormType 1 /PTEX.FileName (/tmp/Rtmpb24DgW/Rbuild11d07d6356749e/BMS/vignettes/bmsmanual-061.pdf) /PTEX.PageNumber 1 /PTEX.InfoDict 215 0 R /BBox [0 0 432 432] /Resources << /ProcSet [ /PDF /Text ] /Font << /F2 216 0 R/F3 217 0 R>> /ExtGState << >>/ColorSpace << /sRGB 218 0 R >>>> /Length 1373 /Filter /FlateDecode >> stream xXMk7>Tfc04C`v)w>/hdo.7|1ZLF6Zmpm~3oy}8gcg!?/z0/g>.\uμYM 6fs`c)ei>[Mw:2׻`+ N~>-2!et٦rD&z(6Z_RY ,LƔ*dK(EɎr6ӎc ڡ`Hu9mYzL7qhHWqM&NxE[Ux3w'_]5|xq bOY2%'՝9ssup%H}plz:V$w y34pXz\ܿ[S'i1퐷J x9Zq?*lB$9wghn̛S7gpmy|zJ99o.-A3HJ{l'QU'\2VnֱzB.k)6VtQEȟ?U!QhEd[``.S fX Zb{a[q!9\=&2Ʃ -JkdSjNX&B'8#VBgT+3A= *Nmh|i4tX 'F#+dXK/itQA=el.ǁȺ5٘[pFE&/ SI\.țyG@#<[L FrlhOѧFrkgUO3DCNpќPNm-CV&,K8TFo9Ip-ֳ̐RJP%i@,͕!+C4AۑI(dkd~ЕP MMTSMYNo)[L  NMI xJ\:tIn"deA [d# wqqzHѤ-+J0pkq -1čJˌOՇHG |XؗO, \yZ^/.ڴBoaN{hk8cµv\ m.o='|Lv厫8ửiµow\Łw q'|M|l~1x2!,!!pW2ʬ[^)xke_l 嘶fr.[qv ?3{Wݛ e2fʩ>3;PbcC*6f0bkC$fÁC!fCP@10m@f.K=tBQح5AɘHp\o|%]Wݯܸso˿O endstream endobj 220 0 obj << /Alternate /DeviceRGB /N 3 /Length 2596 /Filter /FlateDecode >> stream xwTSϽ7PkhRH H.*1 J"6DTpDQ2(C"QDqpId߼y͛~kg}ֺLX Xňg` lpBF|،l *?Y"1P\8=W%Oɘ4M0J"Y2Vs,[|e92<se'9`2&ctI@o|N6(.sSdl-c(2-yH_/XZ.$&\SM07#1ؙYrfYym";8980m-m(]v^DW~ emi]P`/u}q|^R,g+\Kk)/C_|Rax8t1C^7nfzDp 柇u$/ED˦L L[B@ٹЖX!@~(* {d+} G͋љς}WL$cGD2QZ4 E@@A(q`1D `'u46ptc48.`R0) @Rt CXCP%CBH@Rf[(t CQhz#0 Zl`O828.p|O×X ?:0FBx$ !i@ڐH[EE1PL ⢖V6QP>U(j MFkt,:.FW8c1L&ӎ9ƌaX: rbl1 {{{;}#tp8_\8"Ey.,X%%Gщ1-9ҀKl.oo/O$&'=JvMޞxǥ{=Vs\x ‰N柜>ucKz=s/ol|ϝ?y ^d]ps~:;/;]7|WpQoH!ɻVsnYs}ҽ~4] =>=:`;cܱ'?e~!ańD#G&}'/?^xI֓?+\wx20;5\ӯ_etWf^Qs-mw3+?~O~ endstream endobj 221 0 obj << /Length 99 /Filter /FlateDecode >> stream x332V0P04U02!sCB. P"ɥ`U()*Mw pV0wQ6T0tQ Hpzrr;a endstream endobj 226 0 obj << /Length 143 /Filter /FlateDecode >> stream x33Q0P0BcScCB.c4H$r9yr\`W4K)YKE!P EA? 1C 2d6] ;\=1nA endstream endobj 252 0 obj << /Length1 2262 /Length2 16139 /Length3 0 /Length 17477 /Filter /FlateDecode >> stream xڌP[ Np .apwww .[ Ýwsޚi{{uwUELL%lYXxb,v&6**UTꦎN@;[9:d ;y;[5`caC;G^+ 5uBp[8h@k;@hlh 7t01ZT쌁+-=/3ldjj`gC*cBZؙ9:@k"Mm1ǀXX?lhllgcoh5M rL C[ @@kC#ߙ$ES#ى hWuYD āƠ{0sVvn^f@[0qgV:ʈ$B#37uppqLW7[T= Tdj pvt1#VV `djE$65f+tAebgkeQSWDE^lF6+ (ƿ|elVЍqR`j_#ײc lʇM;>] [WӶFذIJ/ 3K8SE" ?U_ e:p(`> H7(_]W:R>P2Ooƙ;F;l=Y 7/-ǟ땪lN=ZxĐ3^G^ћ\q+??*91 ducRg9ZO}PӐ6yPJ%US_)U5M;{IzպQ%EURT{ſ=d}ب4ey.Uj#RaϣAZ 5Z ,e PLKi֑Vo՘&E~^G&P9 |qRM;Aw4$T Ιy;js.3 (m6uƺlHSC:A/K#OwsւpSPv1%kҜڿ`OusnOǓpEo^j@cVF:8O7ZiV HvAbcc0z::P.r@XIߥ;穛.ZZA~ˏkZ#T>rlيK𪏥0/`D3ED{ sUBUZXs鵬N=Ln?]\FA'a4|o*H洢qag>o3]PY <_vp1#N[Kt 9/}qu"=:)!zL"ʏ>{Bu;vdo 'x->¬+T~ɝ"q 3#4%i"JI&o/6-i0 ,kRPj0^! YlH!y@Ǻ#T C|3r87lugKD/=G3\ba^+%#,{h`q;QvOl{1!&j\!Nj+I4MV.;^R}𺰭?ci't^]N𸢰d*,{.|)U/wT[7Mb|ifnZ -DUѡx5[D$geo^ÙKdV|_ϳ\}f^T: [j*ow\b-;>j_H͗AP*~` Q")=Vnǣ0?7]1T& ٚ6͸RdsJ[XlɎx+"Bjaz` ~FcfԜ?6$#3i(O}1oi9kVr05p8-*vHI3N&n=7e.{Ҝ^RX 6 71S=,]^pBcaW<<;͡9ъ__h@لZ7DOQ9YTiyayLlJ?䞐˺pUیOA;aBҿ-)$r_}qbmiZ{1f+qk9:+8ߛ&Ct|gKa#רj J*c&s} E~*-1j㲤XJZOӯ.8mN 8G< RL햷6s]xWt+d);~#]V)j\ wSrOyFU3;c"[Ps[|-i5!<(M0iՏ6B~DVG\+DwIve@o@_q"UW݈[Ws łv:FSnz&rER:NW`ډgUJ퀫+=0J| f?n p?B#,fv!_?o$A~avRHq-ZإթGnJ}X-Q%7XO]:e|5G {E![mWsg[Icҋ8gz"grȸjk~xrH9ڈͽ""fIB3ZʗI񬠿L/.hyrꑜAK;z6-0B^21 =$hI]ngWIM$5תes>l K]_lN]}ŧ).RS.r׻geTs?=0 D[V }|%恃;KXYQ5O>OE]rh8pfԂlLt]FW--0`E*}P>[;ޚ>W 5=GBZZ w2"Ծ|wg0u+)>:v+aD(:AiAM7%<(dbq|3B ,N)[)Le'Fs*,]iI,\=71ݺD܄^Cp~F]MQ8So+% [Q73jR]!U_D@rS\W0 .Tu'xD Ll쌥W̲_4J}C*.S)'Q3U JJ2 "ۛ\?Hx1Á-7O+H3Sj Ly;V|y2-@}5 +rT|ș` >5SZ7Do'U1Xպ֡\cGV 1:'㇈2+" -T/OɆtnje!~-J^Leր)՚M$NyWhwadZ{lC0 @cêIs4s]A}IJ2k։C~0 sW*`)ՌRG,fl37̓NۍSP3{M:;lPY Y0Jqx>R}:4<u*Ugݪlv4'"v _IzT$HIÓ30$c7)Q!RHn2/ xMu"[,PvH2 3G1I(qů{d^[]Ea{܇ OГ$~b;[â1Q>6Ng_a-nng<ڻ͙4u.3ӐJ .v<7pm4 ,n6HBƵP1}q*ni׋먏B5/2-/-7*PC/ X_.6ܥupև\Ѹ<_!JZRưB8{GGˉ MWS"H璭b-5Ÿy~KtAOo+[ֆ?C~38fCQ-uJjՋglc2͎LN5$>mg_n^B>EX˚+cq|FkJW<3ϲzd^;}E1ao,9K@0]ƗppQBuo2ß(" -n#_pjv 5P\$B9|/ yf"ːgp:&n:=t^dema<2P3׆!Og]s 4:CA#+GF=Zzx+?C)3f؋j-"Z ( uÏ)'0[J)eoͩ^5-&T"""; 3ԅϹ %Tsh\0%O^hV$%iw 5W.izyog(q!؀BՁH%XGf3{^i)OEbz8D¿O&n7 k q ;R^BB߳nqEBkuRv{&co%v>^[b^ԟ݀x{tGBe"JM͈~.kiBQs^zBV4mD O`@&ÝfdRn_^,f0)AZ|ix$ w=8O+ż2Vf}0aj3ߊ!¯Kܖۗ>TU@,RoKBfՕ)%Ҵ[fe`맖ޯD'lWVASH3nQW-8\K wǻ" *> E#/T^KnB WqI˻S 4֜9$, \E0/sAʠ- n6ṇfyr^Ѵţa imEc \G n?SuCWHҢ u)C oo߽&5?5i~$ P~_Qu-B1MO/)(wgd&=AEF_iIT-m˪_"5Wz*t&9̊FhC|^0VS2N ;ZRV߁O$;Ll|?qܨPߏ~镘J x38TtUGhe}{ï1>XWFf'8xC'ۈi˴JCC8yʔV㞓2>em>XGvCv~":jPH}zԅi:> eK12eaFlDjLE sۦ5Gv(NW=3?֘5ԛFizJa4{M8_`Yf2Ǔ|UU'|U*jb{(ez騠(Z'"/^癡`=pX\\s31[hOϙOqڙJu(̋;j'/~EڙHX,`l4׶h:)q uyQXBUU$E 5h P(X,hB r,٠ӨD&gSw uoN`2H`:JC"K^ksfgc’-N54~k]]8"{fY"n,/C3nr=͋"!nxvsj#fҊj^H<~a,4%wC@x̅ ]am1Y[}|uʉ ȕ+\=(@Um=t07<]s9c)gLޜ {h COHʖR,VI;lnC.fō%%lQNJG"p\ -)~!)| +e6A^.ඎU:)+5ѳ4!I}3v[h5F̆w*RmBhniޱ1:Pfn`\֖UJi[{gs|E?|g G1;.N$82*xYV|\>:-;'[fy⵷jm(WFgU-! Gkl%TGT[ #m@6w{zҽ<2cuAߍ) }bŦdn`~=هط" A6rC: U0&oaB$Sϖ1t,#{wOHovp rÀwMƮmڷ9W*~dqv%IzkNpo ߓ8jv C~eܤ`?{`_ 0lӬO&P {.mK2^@8TZvQ4OZ¥ɰC&G2&0yA-rԡLÜ?l x,½̹ANK06:pyqwz)h#ڣ&#kk=^5E_ޓ1L`yUHd{|[{6ɞ:3H{g3Pޑ3ǥ>~g6wV@`b~yݕ^mOj@?pV~AN5P1jS0Ǵ#r۾|Qp;H:34Kq=kOMbf{\] fmn?p ݍAVG=g$;}I# Uۚwj.gyu9:ɝY0r9۹D7+EQnzJoYp#GbJFr/V (=)`[ܖP$}o k70v3CjwhkZQԴJD0o٬nkS[vv[RSfYx $Mluʶ+덫S'wwz)ڊm5N]mWPJٍ:|rWVqk(|L縗zf-^<]IWl'Ak@^w~q'~ .㞺ÿ%o^u\|"iI-چөftv՝!Mf l}txm$(|hz[дm;Tr CnlM9.b  {OUʷuev-fm2iŏ<ՍmA(J*{Dg(pE++*jb4׷[AgdŖ-,)5Şp!CK?4:D95&]!'((o"R*[ȵH>:/=`z 'CC~;J [m/_G-=j3l&:d vUnKw9Q~R㙻G/jýAM?Cw+^=cIዞ68oѺ^j.oajƅ(ax浃"ms-HLI.~GuWu/n3ϋdkmք&;dݡFgլ VBW>v͓&&tψ8+ b5 C|2-9w~~l7XhFO]CḂ׉MХb|iQc#U PvM(ucq͌GsDt!ytmK%{14" 8kd }+O]f;m&|p<(4"ܻN_3Z4(Ml>LCs]Oxkmޏ($Dal$vyiPP{LTճ:W92m0M r;\h CWga0 Шo8̷ &i6k  ФT T:BNo x_wE~hy-'eR q!#3Z像$6a="H>-(<`S={E@ݦ5HBЩ:AmGp[?S{ ,":Lmhy [MG:s5- t91,~I#X픋fI't ~ӄm}hCi;\j0ՈTYF.j&0H7֕ $^nk9 =b }U7i?MC^G6[x /$uUJ $?i'ppFvsW -j$*h'Zo1&XhPdXb @ǹtRQr M?hg!⸽R)B;ef3'~xJcdV U٥ u>b,ռ7 ܋Mge 8ZRZ{($8Jm}G.'OҬ|ۻ8w[zCzWh zc+]?F~Q'& yL-9r"Xsmg ~m(LwLtjN%;Z{9#ly~ eծ+4SDM$\ uPw}L0-Ʀ@oؒu$>Ǥ3NtEjTNq؜G_h_My{)"f k d"''>e$7խ^s{9Tryx4}X3NGj~amθtC3 yFVj BuƀEvpQ8KISAm,S~ET#̷t֟{T'4͹夈9UfwV?W]4HR'hm|Ko?O,]|L䢩A?*7&&#tuy,Hi#YN`imiК?jbU}_AItBA#nO \.D1n(=a҂9ײfF,tDܞIhb2'䠗%fHuikQ4*\4N.=K0> ĘW, 5'&^'D{2<=$ɿ4ծ%pi?s0½)T-m])3E>_:4'-S,^NX\s1]ժY77K.5яeJ$sUrl”:<̒qOG?U+ur&Vt'LxAF$ i?FTB)D%Ua$XM~PZ > "_rMZ_ NoBn~Hw znNBr™~XwNZ`m]% B(i!VU7Qyj/Dt62sݗ) `#Uh}?hK=af1MN&?Mz[-Q3er¾Ȇ,uư%E"h#gPYu AݶҒs5SA%>O}[$M"sQƤ2yl -{ U-(uס>mt,iEj|Uo0 ,QRk9Θ(,0|GY9loE`0ڤ%)!_>|[qwzc)w9"gE>vqWvؚZɭ*,&bu./-rwj_1\CQĻc쯹,J pKuOPbw %`]lzY[)m 6sg̤|Xӕ w ٴ*F5Džsv")$夂p"V>VX |-tXjY-谏7k%XzĢH |b_>6LA“U%+=Ex}3C7p[o^Z{@lB=D=L 2wM}Q8ﲹ5r8u[׭ ~eoj2V;9B˖soU;v2~`gmj'#)*<e^E%U຤@(Eأ.rv,'bB'ͅ* t\G .K8[l}:E*6/٭q12?Q0[ Z.ڱ5TF?@v:60$۸7>ưRkA(;]%$)Ps'nHr~y+DzKQ9#;. }|EV;rOczB Ad$4o=,ubsGr}Ĕ6U6UPm1Z#喠1YZ*iiBIw'0]W7gc.soc;}R*mm( כfAnSoKy:?*ӭp0n>s'@QocIǬ^ٛ|9e"J]IlV[kN8N ,pAR.6iM߃W)O *何_3$oOWnD˸yLX;P(7kDY;J4)oQkE?>6|`G`_W5){@=w)^([<g "!g'M+ ̴<0d̪ImkGKmWeVIfK e}#XvĖG\lRC8ǯϡI $N-7_X%)tjќfH8i܄ 2!YgEc;Gn`!< }!8R o }Du3끋[r @%^qi'GWD5@&-:'S\%ZSػ͎Yxܕvv)ʦ5eD&8T]}F.؍렸P>?ɭ@9Ar.M.j$ҫ4p8ˁ$&d}^dt%1szPWP]>]rw^ښFLXGu?NLb8"M{2{ȌٳvdWYB6䍆VF@ȃѴpM2F ?2 (: CF{ NFX“l/W.ozPhbS3 >B:w9! N ;!ԕt_3#-yZpKH}W0$J'sC^#Ap%d =2xg:1,-3qX<0&öcܢ:)x^|fM!qͮ!dV髡 \q_eݳy#\;䳍.TW%Kd 0#H=DM&8M_tx> {--p|Mܫ"*DM7cxjeG=zTȼˌ>*0!$ckUY֮ۻ48 FaSnxzXS[/n{_}ԔF;~2É/Sm"-]ZIe%,]dK%U.rK:{=~q9cOPCG bUSIc+wTځ<. [5ː<[PrxXSy_ynSɚ\׫jsvq.y_"B3Xfef~Qa5 ٹMB9$ F}Ku9!Ns>ctrD,o*Y+%ty4ʞ/==p͗hǓM}Kf@Gh'C/hw1ȃGxb=d6>ck-$aVӗm7\x {Kj^&rpb!Xb}#nZХ2ԏ'Æax`lV?wZx ;줎dN5(4\ǻSu#yd$W@95%v-9W*(`ʍb4wCqwI&)dձؓe3bN6YP#NM(yF6e9Es*a0*%7i_'|CM*"i_=eJY/$Kh;_5[\npIƹ,tk3q?׮\VO 3NFJXj9,dظOBtYHw(Є<)i,D+c`W|=<"O5u1 |eGe X'cQ< răvK Q|p)@9LB$=7c4F~ׂu7,͛IM_xf w[\2 aپCQE@kX!u {-ʣPU@YZH=h$ (l= [#di;R.+@O8ݍ+uZ gF*:^LF gJn̆fE\$gq#CVf\&{3⎙`(bc-X_a.9ЉQ2ꤨϸ=xθopQ!o9N!$_D<*vbbF}nࢧ`rW#3Ʃ9bx} S_Q|6׏˸M@}v]]u&v4vEt?T#7-xjP>C*jP6dLng݋=?0^?FލvpMNGTId] B{z3{H.'@C v?HV^kUK endstream endobj 254 0 obj << /Length1 1592 /Length2 7222 /Length3 0 /Length 8248 /Filter /FlateDecode >> stream xڍXl6Lw7"0@6;1`"")% R t>q|߱v_y}^7'#AB@%E@"NNS!2PEBuCCw} QHB$)D@鿉 @ s "Po"NUg삺_P"a0F@=n2BE+ )#,'B x~0  EBZ=Z"LN(?0 1 Pdh <Ⱥ @0og0`pg 0B`/"q7ߥFM a(o!o:Q~էCB!7ssnp wtՆVù1cs@iI J` ~ozF{"<N7m@aNЛ"7 @!}}"0 u~c:u$`?9"_> hA1HJ S9kÝ5ϟ ;>FP?J!7_gv(WoE>qsøf 7_Ճ:|<FoAA¼5`PGC b5wjz] ݼ 7 Ao)EHp5ߜhF:B  ,Gn\7H_w**yP' 7"*} o_ѤD8@P(?M>dG;8_52&귬oCC!Dlk}TI2gUǼid~oͳrƇw*dh^:Y3d&';ϸ H 6B*T2TAҏ]M?6+UuocpZ9|+I=>Z%h,GG?Lɡ/SY! $.=C5K.605*V['|Ŗ>~OIKcN&*.vhժ,{^l3>CP*-b_'QhgT/m8ڔ:Ek|}ŞR 7mo׾+ZPU6]K[n84= Zܤy^ =~KretaVOQx3t~}KJ!Y/iGک ^h?TwFlq3WS88/xu kE^;b˂ Sߎluժ{i Uя@㑶5~VWe2[ cw qI]D)gv"nK<"s5>ںyM^k8O*1Vs mʻۍl=AȼzQ( 6Sm|/i\M0=$t2^ /uUd]xI4?F/X:"vcrxY`%e3҈psd\,p,k7}Z8j ƙaΝ&b|.9&m*%XS}zЯϡS͍i+=+ڰ3e F+j gEd@3ЩgMrKCŇY%gx{QE*Եyِͦ/F[_o:ٴm3 έg"V=E}=,UXN*gS{No h,*)Du朿~zU`::oN8,a=*M L?[:.k[=o}S$\Ŋ ]&:3{S).!)߭~$×#Wty/n .mrw(1ziDdz:saOwkLە0e*蕢RljV I^hZ'^ﺌ.wd K>{m7xކ#NUO]{I_HVozS{P Ī Ͷ*+EeLاJ H nٮ*3>Mx^u?cLEİ"ox*JӤ/ Z7acwct>qe0ci`0^UOlf~ې'KvjB??g]ѶSz[Q]pǑf ^ѝ0OLv| o'!j E:0~u¬UNk-g՟7jFu8WXRunDPB@ W|i؟c9/'c3S0r}j&H|NsF;4}th{7vI jk ڛ-/מ:7=+P5}zpswgAd2Nڂp:eq->pPZ~;2ƕX_.fW(5BP;,Յ]E}> cTFH|{ Z椙Vk-s̍CQVeD٤@D܊;1DnLj%!S|aryn]Xr|Qݐ̀wrx9!mPB::֮mK\dP=K'EB!o03 el:qN 7ט#O1Cb?~8D$ T5jZ WX9ZidK d&@ruB^AbEa;>>BW. "`M~|v kycdĽ =}O ط”׫5k=#i;Hcv<ܕO$OefoiDvx_j;5ej &ܭH52LBwha?(Ic|pKmh k Jw%{e~3ulf܈_]SFv[ʕTa s E5kx0'to_7'{>I?\!\ψMbZWmKN3.'P Y;Q93JK1'*Қʚ\ "vCLG;3v#v>>uN' ̓8-RXa`:7go%y(KRlNaQZG3I4Vqԭ+w0ZvfY2?l?JOvpl9`*ydzYXK@bdZc"Z}|+M{$\o~u\B?:"e\@ɇ} .8'zU\q~kkP&wMTUO$%O #lF=GΘz,n'c=[wXXWyC 9RDD?T =!wP@?֚TLYj 0 \qJ P[hE[7֛X*,.9ȦrFQ{cM_y eEH{6ѽ0K`ڮ=~~;RS:~?1D"t2I18&9WUO@X<.h[zFm aǕcZ߹<38!Zs'2hpwѰԤ<[!`ەէ8(?~(Rf2#ऐ8}[ %<=@Tw0A!㺳J I\!H~jc/3a]^d|T{d:X/Py}hz!r$W'fr:rQ؞4YtKSl)g{cLj_>bqi5hYrVKϋA*]aXfDP=1iO퓦u2kuk|2PaTP孹70̻al%ԭP @u[3=f %>9>ƕ5ÔT<;CdzGkH+jZ㾯 dTD-?L mDp+/x@n[+x,~ZjH8;nH#mߣ >[&H?;{f|RawFmEZ2+Wcf塥mHR9Nip}laʗaׇڰk'}RIRrHFxw[vCkPV}8Lmk<$cf}AjVzo_Pc/8a+TCGt$-PWIGAfjOKFC`!;v!dľ HmGFЁ1NB\ 5-[]Uoߓbv"۶v wyAܺty1V[@(sgoŠghtE or(Q"bu谠L}' yq(=1%ZpGFEd(%Tʞ3ӂ}=B&F[{Mekr1wǿV3 ORFF\,- EES0W[IO^[c%Zt~d-24ô(,Gz_?d{ϷwUn`Eicś*Pe 0@qMyE3qD6/$sw7Iz]^fQ/]{reWfG ~v.X&|5\_3ȿv\V\nxJʊ>㓷'؂CwŲZJr2qɆlIb=вսm$0|G3S=:aР Xː "#3t'hw ҚwHL'E4C-p3v*w| 8eUlz[d3~ӔUK&h|QzugExNC<V4bf |뮇h5>A]=)R:Etmt279*̊5*8AQF]vC4TD>FnBNIG}f"xkiMm][획 0URn=j幰r9k2_9o;>HK,PX}t_ Jq:P#~9>JqS>S# &jspIǀn_+}WIÕ 43NO-5҂}b6 _rd)dȝ;<*\KW~Y6oey 6^?C$BЖM=1v18$ cp.gWj짉]gwNIg߃RXkGS Ymp»-SHM٘+5!_$' a5yϴX47ۇRR[ ٽ|%@ޙ2ߑǸN35Vnz" 3 -FRi wak2{v/\GI\+˜?x}7h2];GC>|-́}J2~vHpN=}+J܎rgbV+zJ1.CGPF2UԨ4.}Oa/j⇤Y2z{#XİKuu!e ݦ_^eס69`iӴC1nvg-V/ԠlI1CdZgO,9'l8ݰ"Y,uM=ljfeq mHzFl/tNGUMqD@Bt[l(Q*&p\L*xnh*g]EI~)\ DŽ!v:>kLQ%vBpTLR"8jwt7 j)R:!OB+W1*NAr=5B_ẗth7 endstream endobj 256 0 obj << /Length1 1394 /Length2 6030 /Length3 0 /Length 6984 /Filter /FlateDecode >> stream xڍwT6 *Х^HIB@HB)ҫޤ"TAtHQQzA}{WJޙy̷p_m"l5(X$T 0$ 6Ens8@dCDOQ@H X Kɀ@@Q@4VqC:hVEc<G<1G /uKJ;PE (>w!fA@4 {##qwwX>A;4X7e5a7m0A!X8@"`peف&z@C  s9@0_xB~9C`0 D$h' !(3 C!n%~j(!a?ԅy ?gQWwE_v߀qA = }'> Z>忭xqQDJ ŅAnw9o!(m4q!z@e#n̙Wkg2TCC۝m$B<% vp_x س  8 {"1=0q4L6Щ:eR]hiP|#e`5%K}f>$3cBDc'Xک@u?kb gƊ'4ftXۍqF'I*2E.Tv]&4Uw|wa,֐ j1hm,cbe1 k$W' Ò nʵ+hzz:_F=ZSeSPa>{gvzTAiݮ,_~uބv)GH;fQ%n7IУ3HEh)9110W3坖p,ZJpwqAZ\$νD9F1 7(\ (%#)6yvB"p+<\' Zy+#m=]Ԥ O(4'鈻(Ǜ{Zro!, ',*81LF_zh8Eyn);ouŖbyJ[O?go9^ʐijy =E\f?{B ί, {8X| ;&HeZ ;j>;)'3c&^nZ[vWP| mm)x۶:FAt9%|C"`Hqd1i!C9YBm]Hq xk& TQOJNM@7IMW 6ʼn =~#h KNoPۨP,1Ou7'F|à3Ԏ2z(ٿת92U}f+"pDȴLKFJ/La3M_3-(!#pxj\V0t z%g|Y.k7Tr }4Kn/V>t;^Q.F Ͷ m΀צRLn3\cDEҘh5+Lod'w'B_޷YEZӜoi2tx@d*y%3>9!;76]s> |MG$z^Պ:%Z4r_|l40%SZT=.yjˑI\!>Zw%ѶN5R["%"BL_I~tѳslF.luV)zX>ugǛ TA6H__=1^^S6K%$ V~>/``=X oo>wpa u:$|K n^̾! i C&TG7Ƽiy"v0ЦJ\h {̝5OZw*{ѿ`[Je[GpV32ekz.:7vf:S/슗RnL:):TUS~4dQP%_Ѱ :9(Td’Mii.@7boHi1t8hz/6Y$Bb⃺wf+~e9z0Ĥ>\W}NW^LkX~T5r 7> R>?VX.. y%h3+ ">6AH*l3 KJ|o/:N vz%R}8 Mtyީ[G^ɋu|Y+tY8(8{Y!A9L*?Ӗ,Lb|-?ƻw=#k]dž5ڍc7{h Qp¼'okx"$3&L{\3&ۊu=}W T˗Mw!6]PHL=tq{jk+\ޛY4gON<%hs7'ub°ck?NKvK0dͧ6üQ_w l&NJ[c]HG z皆s86b}Yjgy4tcx+fRAh"ie$M*f2D}B+ZQ@u'srLpx *\xDBכ7{!In5\Qlt\Ƿeٲ䝘[  0onQ+~%5eZGl`I@DCvN>-d7h3 eKӪ_6_*0I|y:%A㡧M9%qA![cJ^ neQ5ޤGITTHܥ-Q3d[OJ\^ ('HZz-'Y*P)# ,Ө´yɚ52~ ӚyijgxWT 9zQ14c{ͣ\p*15K(oaw╏] w>gk5L1W܊mMȢYx/mvet笷,P7Ivٽ[V'jҫ$jrJU<?+׷t; CT޽ށ@ uJƲ~_tǭmt R]w*P_>B;.=`m]:~% ABy&R|{^ RDS˥^B7{u&_?kHGr=Zl3(WoXW5;9~XsHoBPICGcpW=4Oc)i֙ E|sX`4jy{I pxgPᾋX~H2<{Zt#BPu'úv^zXy>td Gۺ7cb WdؿSBQtɂ|1Y;pJ6ж@8Wϒ"fkBB8xg6{*\jv6To<;ukhq:#RL>WfmX.ɴZjVDVOHnm_SM DB㧎Df)V9 t-|) ^n!3x:~3[g^ J 4t=wQjŇO6kOpٳ*TO+'\oiWRwlH>tnJ9x*Cs"kuft؝^G,*NxJe.b;=z Ix Qn^z1vYB8C9wOS8QWo'Y twevvLgz\d1F;G>i7RQ]'(* 4kMti BΧuYRU&{6;ϑHXo ns{,E*afxEt?{GD-jZ,ylF(=sM\`#kȔ y˃qy0jZ7DyS0ԺaЅmԷV)ydk*;g?j/sgk5úE~6 O/HSVUəXd &m2f ]xER ଙ+ /E#pj먔ˌWlorN*,벦lasRqYLjk56 |L]o&Ӆ.\R/E:APF[Ʊ0Qϡ >WtW?蚛|&}m>2+.ޗ5̤(Y +:Lj YİcMf5-쏠^RX&& 2発{=ukO4df ajaTv\Y ]kɫ=ZDr# ۠4/smUqӛˊ7Fo;ߜގS29֡;ֺG0aLQMϯ?i*?8[qfV5н''iH3Zߝ Ifglh-o+y<aPڹB!=Hn:Xf~^sC4 \漳Fi0%**;jQ6G*E^p(/{htՐoF"*04OޣOS{Z{D|fFqIC'i KjϣHb,=>]p(&yiєu oH7N)XϲҋLFPP'Ev㇯Q{P'n 0Koh m3p~Mj&I$&iEW9[`\=Gz8=巅2BbKۮCp1-KKZpxz;(/RE0Q"dȄG3*j~`0JJn`,6*O]ri ?ﳹfeW['i.mV|×)B0=۵鲿|{H3NYKi kV o[o7z&0$f\w24z:G /sryNKLHVAH< lب}3ov')$=|,T1Ys@-zVcWJF0zMŠiw &IIM afojah6]\Ѓ#3ݏ;,9Һ6@5ۄB ɺ5-m?Mϻ~s 1-mu|$Xԋ瑱ْ \p(ɯӳS !ս~IHo&2Or8Z8Ki8÷8f >@G6(K^ZK2<{s]ȍyob^8 γVMƹxYl MG̰*w9!^C/-+^giQO* {̉5E3g+Сo5/upX^ôO̒NHZ%4vM_u;-T*\JI^X _nڐ<6}u21[9$ ieŌ䙜}1-0fo8u5b: n> t}ޞ6zɇleBAVR_1工[لϻIgr;5VzF zݯB+',,4瓞t!h7 \r@'N8Rx@8C/~V3@aW7v 9-y xBO~ GM-9XރL01,˭%\Fk21L^|"ܽo ;z RQ~:킁:eBP@v0Zm"M/bW-mϧyA}]vƈ(zx>X$3My0+8mmK` n :/m>LIgnkutԅqaFy$In%Kaop[K4^ L> %O;ӋݞҚzsbjWθ@6]YJ]93z@X I]A NqS,,e8ӼA³6:PcQ 9~Oi^,esn endstream endobj 258 0 obj << /Length1 1394 /Length2 6765 /Length3 0 /Length 7719 /Filter /FlateDecode >> stream xڍtTk.( C) ]!1  0C HHH4H !݈?wZY繮ACK a U@Q\ n(@VUU @^<Eꌄ! ! >90 TE\ >HP$$ x@gQfPfy, G!~'sB>#[05\yt0'_   N;ĖWG #`^ <`W(߁[x  A,608?n}0w1M?7S4ìp{࿯GK[WK_+'(#pxr\@+BxrtƟy̮/]L .M@U2'Rpg?`_4u]Ph"b7TGP+GP`6hJs0jCAl_ap AgC A'F%}l(ZTCAXR C_>x2f7@S蝽g_ xl~Unۿ%C!xcX]U` ij7{I? xrpPcӦ&?Zd~f̍y.WxWX-qF~ hs'm8QM6 㪎XGd BςZ* T҈m/j-{tV)]t Xzm¨,rVN3Cc3W}`X?vL6׭OKERهڪY Zx=q{&Lviax[)ky3>ķCl^yZ*hԏN]]6Țe[RxOZ;. bŭ #D;W%gt&†'cŘWtP/55WiNw_|3DIw'H9(jDaǑ/FyIFfBR\<rrEݗX_^ӯ]ķ^X~p/ *e`GdP~U?a^OCqUm^$>|H\5;Fj3K2^qiH>)R7Xp`РsƫxC\)\Αhr.,2 VJd˧0cFK_ Wjmh:fuegT؋ϛTؓ\*cS*!ӄ{n1Rɽ8_ 6rCa3 I>]JP 8.YIX{3|z5BD.zL#*y5l}_cmJ:>S6/qpSwvR=z,@;>2pxVK]PU{T+i0fm͔][Q2|N ? pwNCm@H z>&e"ۏG+s66"8gCa,T8o sz$ IVg&n7ٜ 8h&:()WֱsYۻӃI +خ B+La;YZ_~{rh aU':Z,UrBMci_l,{bj2*Yb[,e~\7%mo8 )XԽT3ݣ#Y[SzrwI]]$wKdi^aVݟ8?9I͟ih{~hORqZzvfKPik"(=]oֆ`a+5R&O]xU!iy1*asڏbu E& 9WWAdJM|yGE੆2_1 ES5v!hasFq g:'_*[ ۓ/nBbIvp`ör?51E> >v!Ge\^kF\ ПnnnݿVPPќL'K;I]˄!u+A7"V}<־f,%Ż&OA3%xe״O3ZEB榐EBN&}ycʆm{L=nbtMt5Xb y@UpQ[t.KSف ,X?܅Kjwv@+O7?. _toֹ.Wڦ3ojhYf8YcMKMy5J qMG"٤"/j6A^BEl)O鋯l+2?^زSLQQV:s=6R[p!O?fh8{I 6p<߭3B\KoqsZޱPMX "jb106rZR/M3?P'Duu͙%% mv1Zz)*ncLS)3Gt5h2G >GM)f%|}iJrQ~5y oarn.iDL}N]QϛFK͖NH-/s1'e@ 'Z2Y kן&qh `rwur%2֔hb|ѓ؞÷\,Oi D1y)nRYG}Ct՟Ql_V_ Mڳ kh KQV 3s1oر2şQ +Uz/ݸq^Y;%=F5q<gwGʑ_I2r%{!x W"oŴn/#yg؇>,WPN #I["W?YUF*5rGl=7#?ieUAny*}f}S 4Zho]A`'pQbFKS ᅩ!ɕJ׉]GZj bq̝~S;s`ҽs}6cNb+^7^h ~O,(˧O2Z[(juK}N:{nMEb}<Z:YlHE3"ZFHİ$>}7 5do)-]:wEU\PtZVkj4Uzci=uZ;v>fi ꭶ9h)Q<.$^=G83C) ǞMYUm!~ֺ߬ iĴSPc:Sw=/wv_̊( i/\=zB ^\jZczQ;[tNM!(@j@ag"\jEywN&DNySPOr# uB˹S7+fDj+b:s%۱8݊ %4xw7Mm+ :7c#He_|+YwV2`g}5cscWWP6կv-caM`]*[ &80eÜ-1C=rq\RI>gUݯ߭w54]|р|q{'2rawYt~FJu>DE i!g`L^n`7Ɗp41c]\/ͧܥlp0x;o6HP/,f댕 ݜOdgkEpہ[xMgR@ZFK&&kaQK%5qb,`.0 $wQ,ŭDDoil6!SvD& łv tqW#P>я ! Vi} %߂5/36pΨH{/;dG 꺹"wwCܷ&CX*J7K)ˋq a]tzd<=?bh8~W zށr c.udw܏8Y) 2w1ᒐ&X`:HCGAS]ޡ"HjIE!>.PD~W, .ݪ?N֚[m'CrӓBgeuȳ~O8#attjgsӠVu~i} /U7;%Tn=i[ g#֤r3V*Tq ]:h|HCW}J >lI/i=GV&-9yE5-qw"+,53 !0:"s5* § L8dgݺĹ|')`>E+ew܃kؤgsڲ #޻\ӭ6RI0Yme,o+ 1JmEﮋ54 Gh-g=:Ehis ~GN5 Ax9>;bMl\"j@vϹet,F3b% IR'!SƸm?Orfs/$cHnW$:%%c2n4>^|?v5nC5mM 퓺['OZ OU¬^-y&y9It,^bb13t0AfpqL`ʡ#ajQaѾ.U!4yE Ȥn0:0|̧Uɗhc|9ap6s;οvO'e;+{S?::_1+L)#wqO DBjzfoQ >.-1\anc ȼ U|Ҹ+9Ы栤Ő޲s< Wt6sC{ڽs4G\q.քCHE|7M^eVo۠Qõv⅚1_%ʾKJ#0K:2f^uB$i3tZ7>]Jh:w])m1;%V p=aY|S%ɬKi a؏qW;Sm}dT?k:WY<>dFn=q4sXPgXӆnFy!SSaGի## "1N =٠Oe[uHCn%--tf,bZո-LЋlE>[=vAϾ$ǮAo]3}/iw*?D>kN3V_zqɿ@z]TI둕?ݵ ` ()SFE"J뿗_]c{5& ai~Y3A 5kJL?,Yf}=y`xSPfF!W2ıgեQ7uq.uDOʹ3xY9_1t8֕g\O K][،~EodKzmb zC߂r|VTA '\mAfM 2ėZMz63Xj(7EeB/LU;fsERkn Op\ot~Ir̓>hKܷ {[< OnaxYh}(zp*/sOdipeTACjcplH-\aݜD_f-bCh9}R'Y30b|\OAzvBGX܉u!2M+gjoedgS8nG'l=%SNKhtKu>!Dx/<3jߒ.y^Zm_z&= ޾m }jŸ68U ĘT*B\慞gYK?Xޏimζ> stream xڍTT]&TB@@neaNi.DCB]5ks}Z*5MVq Xr< ĦՂmش:`G' *$ =&)àg[WOp 9 @. 2@;aJ!Vm038X~s [w44a0%p{AvvWWW6J [4N`Gdlش-k\f w9- upZ4``?,re*NAPw ` Tenpj+d ߝ2d;9Al)KC-$avv`( WRGP+/5=6 +<@~>.~ [*nOiXX=@.`98s8 lb][/0s^0]_MZWFIH\|VN=]| VQAw<ձ_`KSݳ `F@M)UH 8v37bW=iP?U[@+ AjuOfVn6 $q[A(%5[sz[t?.ӽ࿯ ?,~鎓rtc_7lP>p?7x슿??]{no_ vcN̅l䮬G=N\Lxث8sef;9dLlZT${W?q>g}.m,fy"z 3Rn`cڳpVV]^U3tO eU[+ ӕ)tW5fZ Se H.-9{C6 *t+X=Yӵ>ѝ?ڍ4,x׍VIAYjɏ)u6ӌXڕtat)+ғ_M\PT _/WqFΜhڳu-{]byo=EsWq~Yrr3LeicCɥil#YW?m%9ώ9L|#C\ ŵTHz_mTriJ`ϴSvGngwt/c2qhóEУuaLuTb}AqHgk@ijlUBObBܬ o`Bs)_?= J[_ 4F2II!zfx*_BLEq %S Tf4l-Zg&$GΆFءo g_:pX p UT~xvșx|Ka/"kLƃh`X׬J{)[s\׶R4e ҈{?y/Klʵ5Y6n. հ> PM#|BMO*kl[3h%ENjͼM/wqƂۛ^2pV4$=ۊo<$ؔFhs#zECbP6ыpw oQxˬ)r6QMG{añL4~>%Jݜy"<4,o@vج>ۇ[@A)vCp2ꘇiޮ0?=8I[ 5/ >ܭ7lZ&gJ)AKx[sRa=)xIi;`ny/2Ǐ̀-i+;gٗ-7szO뱉}KAgؘ<|JMd8| aAw혜ZĊwўatS YuEYs]wPDCO7.@دa)`.~Ɏ2]5/G]YD忚, F~6(FW3ns|Jʹ9mO\hSE9r5Z&@aZjR鹷Uv\Lwv+c ΒJ<w:SZG#{/D=k\HjMQ:v}.թ|9^tEJyZ +Q5%.x]mԲA^KG",uV<-Ȁ6b*%BG&zqho BMY"|гY!&Yxv E#HQN@KSmLqvUO&(Q}rZC&p5R{4Q:M^PH?زs}X9ui`il^ڃ6Kwxzgkiël^DFɛ> ɉO*ˋTZzgKfkٷ>_ǜA X)vm\Ѣ5>IL#F1*^>^f"Ÿ(pLb xlXɦZ` G?C20ʐfB3=礧pmj?6lgL0X3l4Fk]?xGˣ&i**gt]qgxjo_3#?/%~zv8kZTj,4 +pX:.7eZ.ONK>i\9.*}?$"O91r*^8ծ[ND{hm(.MJ~"BuZxcxH=\szx Zy;<]V3-kO)Hg Kg09NܻGZ.R}"PU^F{-/bvf:?CݱȁELx%A/k %rH}1K_bnJ"k'+?2up)V濙%ٲ!ȞgNKenjȵFMQ >i~i鳊Jbiqt;Wأ 9ƚ[6,oK1%nGADb) XMW+'xnMJq\:ʙ"!Ǝ ٞÛSإԳ٦HRG ThBO_qv ^-23gqsqLx?1$ؚDeƢ?icNԝVGP]K{KepN-#Ck,n;Lo ^F88ҭZCXPNMh;VX-I08`yݱ#{ zƥC/LYTr"h]R,v^*QVmC(}CYh4ф)"^UF*^ `cHC ߀IF!좖i+ =8wW6JjRcQf0WT8 ?_,yn]e* !|=2NF3'ڶT!6Wkg`xVKHwId&8␉lѭu *sg78ݪꊊi\\A2tY_ >~tIL[MJ,.h`=^0%RWK9er<ڗ f]/Y[ך+ ^ܩ 揰{g"R/L.D5 ү})'븸5jIB󲮹M"*5ωIe !܍y(d;gvLt3Ĉ$*ޯHߦvDh>!r&kY&Κb7ך#O8ˉ =KSތtSr -ʘ" 'ÓSwF0$79枸z ,W,|A=4暲e>ڷQ 1j&t~\ [nψ` ,p: WhFi8dp ڱuʒ\JT}8U|IrzK-:)1[z-{owFJ(;u :cQi:1/'OpAَR /3Cȅ(3wm#jgJV l#VTz cbca2k7\1:M\[$ ?/Q> acŴGvd}Ko %j᧦tn/>~M<в$|/\h@?"w%vb>C/X&(c%>,xl\ҿvi]Mn3) kK?=ۊ"k@2dj y\Dulh> C8 S*NB# #D s "*A3%2$J}O@lsbm=;s>|-]~OF J"Ԅ7cTH D z*XB:A;e?xϘ;Dz3 ̄JVےA*لn]V\Z}>a?0iY5+D6>MOu'Aʖddy-Bp?]jH^ '9xqt=12e޺p(,0fJ d֧ Cˈ?$ ;cFZ*t~?cx%5h*[JKedqm$NH%/:cˏźk?4f]tx|k\|r%H:-e2E.[g`qeZV'DYDhPJs'~rYa1XnBeWjc^\ M7>av5_v6>n{?dBzʏFA$tRPHO@s}lƠ(؏b]}SFb -xBtEL_mf bsاȌR! endstream endobj 262 0 obj << /Length1 1627 /Length2 9602 /Length3 0 /Length 10667 /Filter /FlateDecode >> stream xڍT-N<w 4M4ָN%,CpGfܹ{oWծSUgסQ`47Cal\Biee~'';''7:=&f ˌN vrC+@ =d8e{(@psr 'I tP3: t>L ft B@DaaJ$b9qp,ŘYn- 6n;:=@ ]t pO4`J t'@ A {; X@lU9%v;:?@-)ʁ9Ius9A`-rN4eY sF] zǟ7kwz, PsM8phA!.`BL,0+W\#^S>^&> ?t/g+srx `f`KOfş 'q8e$/s{?/kI u?;'%ez:xw5 *8*@-\V4TZf? `G䆜|gAS,7oAr.@;_Ou=-@7T*!.vUAj$f6.^vN?g9;\ Y)?ZW;C~-O,N=p~.ӲNC 7w|ߓP{Գ 5 86JW Co 8#'`l_m*_JO|:us=![M4?i?k j Iƶ5&|z6Vh ,;e\nKغKE&{۹fuܮ%Yk8py:RTB%N(#p?[~֠fKpc (P nW4SBPp-lPs1g.&p#0,E%Ձ}['t!ƒ2(5K9%x^fDy4oI[I iQt3ìHp:wߥJ"2\w-BW6m1>M1ez[UKjDXVury}x/@-\)"ٟ R; sʩ[B()0cg gq(i3<)0/~R f**D b3sdgw9nx=~+N2́eC/QdOIFk⫒@/XL*b̖3z+PwQR _RJB”^3 qݛ*)K5@:'ŐrR0<d.K*WyvB=LhTv3'x .4xndX@}kiuPCh|:“OTS3,D{f U6Q (Bx6lESb(<?hNt(Z Al '=3!Kk"b X=&m:$ryx 333郁,`G'.֟lQftse,&{ \7B>β#ID}nvňu=Q E ~<Ly-CKA=!U:3BVHѝ{RyhYFt!9J|h"Thsp0f:6|naAC>d nfO l.a\xQ6߀.37jc'˜H9 l Hck* ۂax{}n`+JrJW8#Mn\҅Gh#fÎ&?6qH[=wWsS܍ G: a6_sȭ]{sA8v =W;DzЮ椞qTY%xf_:$۾"H߁3edx=NkXWh7:% bsi8ܙ#k.WR($,/[D Q\VhNC.%i7J.뼨aJ{ !PB 8 ˆ[i uKƠqYq0v=1y@XάR/6lz;5Q~F6-f_:!^#q{O x%cE:M։G"ϯwZ[?凒i^5,E\?`׌+bUsFb#G**NSV9X &|#T*2mG/~F ݩ%^ #x%=ocKv ݎ҈1+H1KVi4}*ݻ!PBU w}X:WkRn{{T.k|% =GU>&UbIMuL U%۸'9F.~OGB@/qIz5N6GAsXR pdG稒C ^T(Z68^E W@n2F˄  6ʖw S`Jyȧ4xJ=}IO9 ;'/i[-{Lg9NVvuz6,evӽ+;_3 &g)h3ϡRl'eZͬ !Ŀg0."O+"Ͽr.4{ @e&3e.@&'6ŰV7J;RK˚a|5E_p)0_Q#O^Nf3)"F0sNh/?+9/%JZ  9 ˲XM4AwF*h}]—_ڞ^=r!Ӹ6Vyir[;CU0;%R@9z8{"=*[ȺzjJXCdIIJ:H8ZGB}Zs<~xFϷl8' ޚ?gT=RdGIKXҔ>*8$FPgt&Y^M'}BR]PJ&duu|!`4Mt]lwBZH6cAu@aG c0]ּ욬Us8V7 oɢǢoF\@$!0T, &J(LW;<|,ux=MWY rw\/_0V~}-VQYͦʶP(jZǯKL5( .Z 8m,IO|Kx"ͽY׋1񷫒OM'eM7VouZvbvPD)cG4U?`~`&BsДs݋Nޠf<$[heqF>DdwnAJR!EqG~Gg5s K^ X*OG꣞hO@!|Xw({ǡ܀e74iˀgU'S q'KggNĪX=$qnv{St0"Z̥W s-9q🃎v|gM[m}[>%1 Ҙ?.4i~1y][;e1Mje:Ge3ႄ7OFU8~{01Z-txc OlRlƯډ֭ -0ԇ\s) sHl`xOV1FǕHF ^!l gntZUUgw20EcY;ppoSAv1}WJ^USt?J|  ԷAhi_17T>Bn<ЭV#fxmEhsON-IW.p@茙8]dXAwYB׻+9y#CER:~־20xc \T2E;zF~>g֌$[V7+gfMҾͿWb%;S ' 4"vC1w5RA|0H99 c)KRt(c^J" @71FI!rx]Ӯgׁ~U9k}}܇l)OO0]kbƌ+2E>FWnK *澨b2s W퓔6Zmkai&9^gsC7Qpyd#Bb{Rc G$7ۇ1Yj z=:s^IlnbGCJ_ e|;ֿDG&/o,\j9cm$l.\%eB X.Iv KK͆"j|`mσs!Fg(6{J2]F5E?v M \uTއsKZ׶{pp,7k~+RۛX]98]zSu/~PK~0iiA%8$32GvG}WLX4ꚃYZ_Vfm]3;?6-+pϘZg-F{(2G= 6'L9iK GYR[;iyJfAz5\,OzHf3sk۬EIQl`bI8˷5N_dҼ;.6OP { 8;:wkGemA!M#h2_M.uDɲy]=+ ĉ =AhڍvrG+<&sɋbu*mTWl#Jfyq3cv/eipBm>\ӿj) ؜Bߜ*x> 7Ζ0jwg)*CP T̷iNI1[PM1^k6@nʑ%;A+Q)[S~7/i|9R/qR?Ds]Zp Ѕx8:!pJ8(^'oҭ0FmȄ̈IY.dIJ窨p Z # 5"K:"yXF X⦒ʼn(f B+Ѥ~U#\*q|@)?I MW vjE)XF|?H$h0y8+:SE>(G!7b͹ ˷2g]H2n֙Qg`lvUpV>+Mn~P[Қhƫ6/+d9cPn>m߫tL^x՚x? wN(@j]$\0bEEc_~S[ uS#˻}%pH!wk߼mҢ/҄=-"N?2a0,Q) r-]ǠSR?__ޅ?.5f>M Sit*zbv}5+F4m*z ٪֌2[b Z&D7~ךHl9N[9b~eE^w^ Q+]>ʣhʩ`zQW\V3jzA.P)J^ppUc {<{υF$M^CI]ił_0RC"<u_Љ4jɏ7]B0ORxidQ*LU# pPZA2+Qx7>kWj,/Ӑ$h`%w(v2|68vѓl X@y&(BlT骩liTksux@/oQle.1^PL"DRb°ljݠ'm20gTeϡ~4*ZjEo],UwtʖW.)8|Ed0B{)6Q)>SvxBdjS\&9-Ix\0LzX3ЇZ}5;*ofm黰O&4`&6hR5&/3 bm|{@M:NlK"_gwW4⤄d8c u956W$^#Qp Ax:bGD5m-$BQ-)g>Ȯ޼"82 bpsq(œ?gaj,aLp+_{vHnr%$uఞ'ce\5 ثe?Qk=o[7cmNRОQK R$uZc(q!J endstream endobj 264 0 obj << /Length1 1591 /Length2 9140 /Length3 0 /Length 10203 /Filter /FlateDecode >> stream xڍT[-M`wwwwwii܂{pw'@% <@y$ܙ[|jW:=.-ٹ9DB..^..Lzz=0یIorsà"Au69 T< n^K_D@ sT`P;&, l<_&f ۟p3 lԁp6@@f}+"tv瀹K0p nt&=@]fuڂt. _dlgw'Cml`.@jC@M57 &!x' Z?T(Hk ݞnw)Cmea (w}r`7}8Y'( 7Cm~7a©z<0ك~.!A^!^q^A `(lznt7؂mk=OG3/xn`o)ף\e(/[r((}220o; |4Z@ep }ӿJ[Lo3࿓ie 0r3.~.g ,7oA 7 tC|&<=/֪lU7Ajfvn>.`w7V qK3 i(.=.(̿\@mO]<f{x@77?"~ڂHC=`nY@) 8UANSH=qqcpZz|& p\ VjH]RRXVpҐq_?jj;gRصN{8GI yPd.C)R6Eۍ!ik?KطRAP%Fgw}eMx'mSƂMЯqf4bW^u>-Sxlɋ~"C3X.ƾ-VlEAeg|"iD;S.ÛaiXZvBAQ?> Ӌ6E 1p}ZƱy%j;gAOGn(8H@!ki>eWRy9iHJ:g3hg5υܱŕm)\7,@uȣ'\RѱBg/Bi%4vݣPN)HNo 7/xe +xjzx~eR5KҢRmG3 s:9+.tZvd>ჳ)yly_ `[ e]kB㣐f(dE5E [At¯GkPrnj.-G>=aeP; 0eO?CBN(>w+H=jd \{7Sa:q&m]/lb!T:iS2AE酭m3ܢ?^@AP5y(- Zmo }'Lp i; RAk[2ʌ+SX<hF!ҮBRh|#xa_s^S`U3knq]v;>XMmiHk YtG4Ū /ҕW>'EwY~vUL^/n d 3Æex+$l답XyrTyBN40U: CwI) ]J$.(T'ND V'^-FǜJ<{r|[Tu.+$pUjԙt-Q_KpX3q˳B?&8Y8D9qFK ~cگ7oViMVh#Η{ߘ~ԾCw:tǏ2A5XOV/ F WϏ 8z8^&AHj[0'+h=姦 : "} g:&\[}Poම{67c[MnLrZ-v{jW@$Y*&N1J\QU쓭z8&“R)'eqš!Jo1(όp,<_ZF) .lKl_!0Ai ǏMz=@rO:#$1CsF cHII:޴ǹ>αrQϼߣŦ$RF8]t>8y+M Z,DϾ*2 I_I_pD724-E:{'|s.yZ2/r#FHYãYzD9Kr嫻w!oh ؿ~ЈRs a"n0;!uB*8KTUc(f;O8}Pt!.BU #*4Ky# Riz,Wm8D} UߜnYn@ϋ;!\~ =}FoHBS([m^*'ʧQ9E|`KaqJ(!P/K&w2gaP<朘tx/)ѩAc/D ;51l:IZR!ո h8z_hɟyr#/ǰ/DT 0C :ϛt> r9|%H~eE=*N_>קљ?jA`MFLWVɫS#GHqGЎz-GgzPH( 瑰;UsOCOi#c ¯6Fv֭.( _TqDWA;ؼ~,Ǜ%ҡ2v}(8.A9ޭl3H!}TIdyڰ@O@`R%^ R~4HjǺf^qW*"z00,ޗ3 m{VZ5BY-I/X*/UП1euM-VCI0coxx ;6 |s!2Yj')RT[mp6Iiy)|d{$*Y.EsbS6#ܼ9:YW*/I"^3ؤ˂"""m%+`(T>B4Ʈ9V2vuYG$үsϥrӒdu.P-~v +REDziX.\NE!Ь읃IE.$I +Hx3rU݁ ̒KPb~ Qv_Ԕ zj¤KK}mqYֆ$׭I:(KʼnW84mR>+iKxFv=]bU}kg Ghk k 3\:m1/ \_Lf&,Uˢ?B{QTWՑ/wbWWy0sAܶG2n&\“${Pbӥ޲/{P z9e5,rc^HMV-9URd7SJ1w>,Y0w y20}:ixijHAb'Ou-GSK[R9f†9= "?rHJ&f,v_X 2DT۽x?S=D3Qn9vsziц$́LΔӌ}XhIr& 4=>6iSC!-,Ih!P. LI\Zr% Q!y]iJi}{œέX1#`C|'sd(gag򜟚cm9B xZ҈4F9Fn9e,zҤt1S8GJ=+\_zl(7Gi\;.Y3o%BK+;>]%ec&.jrco6_TRY+^𮞪Vqȡ8޽eHɔ\w7G!2@rynϒ&4b{`ʊo gI{E!dWQ/*tFFϝ{V\6סv?xޣh3gDiƵ {K*>X'F)^Mf?^E´+Cb< ,oȬӜϺX *;h]9 @LiQ׎ǜ:dž͚F4?UI]:@3DX~U4HiKfՒ'{{bV{zPUPVV'Dr}~R0>%`^8~];U^RҦYLLs2,|В`(+ PuT wT7˷qB+Ni3}AU\9R?X;$3!3OG7S̾f\αg"~;k4F܏]6b3sՕO"{Q-OWh1|3Dm%w܌dpr< l3ɳd$ V|di&e8sQ{%g횥_|]1jyxjʑkV&eF2ª#b>at'(#^3n`(No>D%;1t}>DBR>lx;V3.a*Y-5)UESL3!CTas>?fiKh-Abޭu:i@ƌHÅ|&KS\qx`qضCA$Y wA^h3U+6AfSgG/$wbmGSqF6yePd-C<ęSwBbhJ]&D(hjA)^ochL9H&Ғ9Ti կzֻΟvrd>6g"XvgkɎP~&ҋf{kH=9b]2?8sOꨢO, ,̕[ j[ j/ jdFN4Ʌt+;Jz)SS ނDgdWhcYk|b.Lng`x +}b! ( 12B0OQ|>Qf @m1`·ơ>b ;ofBqeSGC`jb7dZ}娏?jyoQ&sQ؟ݎ'!$ <% iٮ]6Eb&_(U?ԣU&y ݒJXB,#3"V4&THLf#)N~-O01mВw$‰J  gʍkUB2$)Ko,h?tkƻ܆!u8F& !#8 H/H_s>3oZ=׽DRBq{@FTz,\=X!g3t*6Y?)'K/chQBbPr}~c^eP`hq㤈k~5{]^ JV0јHKŶ5]Tl9r߀Jw1#g] ƔJWDˀ9 jFJk/a"|u$Xfx/"K"YFYs n."՞eZC&\cz4k֙L7wL ]fd$ O)m sM\:u0'r0kg@k*{d̈W}?9Z c}sXDn> <͓f]hHˁnV&@]%&jkU F:o:]g~&# {SsuwoLTZOnbᙒ6^ol!D'ۺM }s15J B']Ԟ}3e 1TQ/{5MG2Mk1B .t2jVͅhu_7<=0NJF%4^ETuI[*ji;! k4*!8P٭ x 9ۇ2K$#ˆSge}SeҼe漾b?9?oB< vhIӐ sitf/5WLK0[Af$dcX&x-_ 4qH~Lċ4KJaT~:WX-060`5e.1q /<-yכ}D;E?.Jzq!ЦnIl{\^K~*rF3ٱz)4)3Bek/^1`. ^0b`8Jo-7peEsN7Ϲ(l&<+$o& aAc[=U0r,6?.1L}(#eDvq)ƱJs_d|NsjMCJ|OQ?ΉLƼHL!R$PS$\j^݌;~}Q둽w:-tS*ѿoJi>c̪}Yc'ï 4v-ҮSqUFo;ٞp4$M=DJ9xOSЁ٫wz(9`5413ŏI`x_MP7CZ9jJ"[S$cHZG-) D4EI$GJ '+m:sG2E9C[i$z$*;R74hGh'^|@#Ûlci-Ύҳ6%Ly @syA?R {^3`l8֕5bjGw1'ZiH>T כ5EhVhrmKT ߴ676ݵ)x'Ǽ a,_(B&^fiޣ vp訢DGԬ03()3[;' S#P@qsnfc p@Hv.Eݩ%^|_ ^@r'm=_ZX|!-h>O,wPF8|흰$XFL [NGG^h?:MSF5nb%xq^<\)\*;g6CY?M,>E4{;k}L'Ex; ݷ/uLֿ.b߿JY&ڽ#-ɨI(/lY^p6$LcvWh'Wf"b G ~@ԭvE;s8j `9YjǤhI.*S<њI@Sąk!cح+MÀXrdH-u*6G6k7kv-7x&IXSF1 g'[m< m兑3%Yϭbkwp1[#dEsWG}I`4x`T-<3毾豙%w8c=aCdF|[0p!Z"gi`)~T` %KTf# 8␃7,>e Xd'V \SяЌhUªG!R u: j 0q84$ᓡ}7B`mN|o wy endstream endobj 266 0 obj << /Length1 1921 /Length2 13210 /Length3 0 /Length 14415 /Filter /FlateDecode >> stream xڍP-@=@hܝ  ek^սEU2GA ll$ac 03123"QP-A(4@`kڃo21㛝5@`eef23=/@ 63dlAH6n`S3Ƿ4 6pكy-jc9Wj~3GG[^&&F =hP9Aƀ?(@uƈDP3;%W1qtڃoKdxKP(ڂ2ˀl,, :lln`kS Pcttu0Z:ؼ`K7?+$nlE?¼MYX dG}b`{ݘڬlmlGNL`;'&o"d G377;d1^[^6&@^`?$3h l2[#M 2 - e~ |}~?ITFGZNqx0X9,\]?&6o6)oP}4`F[1s0?sO?]j?5 lk.@&诫Vv ֦olf`agdfKvFfq/f )8x\޼,7b:]k61X98@{{BARhmx `bcǚ99L"B\oL 6?$z"0)qTAo: 7?0-m%yrGVc/a!۷mn-3qz/V?ock*W+oU e!ؾDol孏a}K6wo,fry[?-9{o"n|%޸?Gr!-/U 0OÞ'i2L#8lǪfȖH,Hw*en,ث%sca 84%z9qKH(BݾB( Qش_ݓw)΅HK&M(]GtGűː>(p$T2Y{XJ5>0_g o|CbkhOYߝOR!f+qWo!fBE+ #y)3+PK-jX{e3v9L$csk~1c73kg3[e\SCVDG&ЅKmP ϼ %h~\k[yOj4F:$Tl2x"3ϾSB9-Y ]"peߗ ǪhkAWt>-Q ~;QJH 6}Is؋ ת_u+"M.#8:=*wCoP@iHxO1 ub[DI{N)u<@^=J8|ʧZFY(=t&[Rb95E`M Ylѻ+;\@gfSo#cJfStd;HB@qM5 ?UǪҢؒ>OT:b*}dfKEl8WcyhaS?ܰa?}tta-#\4(k's 6a*3Rv@1:H/J0d蒮t9`*ͪPo\d3 ˏ~V`` }[wci*aNhdN8#W/1줐BriFNr$MTGKXƧ6b>of ɘd9ܫr; Yld8 9 F@ꅕB1tGd*VMPC9[,ך* 08\9mQ F'Q.SECOvn1_j QqE֍1_ g}^:uk+_V{m)M/N7l/DMrG᨝zRr TFhD4K~L.Qyh<#,jrMdpm_N6)l|ż҅̾=$V0zzEoPL6%6rImGHY2!4tf.mԢϖ)Bts6\M]:hͳ^00#0(ܞ:!9ӟÎ@#^"9v!%RF1w핿ዐoZpYy\큃ɼi$8j~p'?)=n`af}#m-.,?٢\ 9Ggn{8~*y @4T/#vtZn`IV ڍC.b\f5pq4T<%Vz.mv'HaEvVoE#ߘ?SÏ,k#ձ\O8=Fy~5F6:Eۢm^~IWoC٬S4l|Mؚßu٘Ycm>T&L:}FWg 3v+`)xf9Odf%&r?^Jm12#l3l22*_=լ+Z$hUjٝv[I0@0̗C&!w`TP,I*{_yo'mwnVwugGI\?S(ڢ5\a'/wkuNh:B&n" N*7O1`p6)-;M$oeʻ#+> ]*xny] ~OXşx#9׭|Хta=)Z䭮jج'[H==^ X@ʏ|,~7g(kc] ~BZA39_ӣUJlvާy34n7vgHj`R{RlT"VLF'UG&ncO]`1EGoǤ#0|}ɍS$V6 Gf40>okm N7[\,p]@< vA6G ~Mmr`ta5`F}_*E׷Kc{ 0PS5"We!!蹷I6_buo-nb<"s6U|Kf~CY?'Pyzݪ KKn?i.*ӬAQZpXmֶ;J%7N]J'c5iBwT/&f{[آ“&)Rȱd|O+ߋp0@&~~K4 ^6 mbd".IٓԇVpT˗Zj(Պ)'n{p9!ͷj[-MX箸xPLݗ TKҐrm$SNf/5>أH&F9s/g\CKe1_64֝)l0\ IO|83|ɦMt1~47dޓ:$}a=5ƒG<<("`^2v[e֎rVܿae = 8kEbJAK?jAKzy<)dgH"i?oBBgaR/~aX|&;ª11;?(%vv7棸ڦtu7S jĞ;(Gm^t0<7"웏0ÓTY!tz,ďDkq CP* ʽ$n)I5c-uQNgA-hv]f{Ѥ" f"wu Jm`J0J4ΐ@:n`oLb6Ʉw]] Qk]GZ=IImt[҄'T`2:=kDW &"cg"lFO\e)>uj5}! os('N};]'7~ў^ҋ7J1L]oQgWzV;uA o]NT,l`:}Q *m}P~Q0c,= +$ԥ^*@Ɯ$óHdGnKcohIV *Rd Fu4c9o;D4N@6Gqh' {ԝ]e$ 5*3[Q>2x臘t%Dmt4n"ϸY:3P*v_Y_ˡ{Ca?/\@gI>ڙNHT +%!Po$o#sk%y[hO-qk;Fl(gd", t^f)ʗ:2dzڏݩ,4"YOPxڪVQX' w2۞p~?ԭ#}Ȗ"s*l x4iS:!DqZe:VI bd_ҭ6މ|}-Uoǰ!:fk#<`s+U3ei3S戇s@*2DqMu23ReO' '^ (inՅKi1vWF n.)K$Z ֞>&p(G(Npmf7oaӨkZH~ 5;2sWvAs=ܾd륔JwxA㨞aHKI 2WJo r$j_4T5~5'ͭ~K 2vz8/yMn3w5#ծ5^c_`c'soɟkGPviP̊ݓF{Qi{MڲPN/brTkVB.kضye#{Hu]v_z$BY$yg|#SQ<czzƣii%/'OuGXdܫ屙>2jGҎ7Go6#Gb.u=٭r>M.[9WQM0NFs$#v.k#vQry8v[էl9]Sq.'+.JIяd(aaa#s=6|aO/G23EZ5;q !2b"I5} +Bi +92Bߘ~sii`L00H0KD(+WznUSvwMƪ {cGeZp xUdYhP"t&[Qz6TI_~8]XzɥJps7Ho= vKgo4K4: nHIB4B#4+mƴgCOҥA_ܵ9$8Z.,vCY o` Cj\-r~Ә[N!G͌W#K,dF}.Z+[otMǦ(%95ibwdJydlr# q) x#@4 3to^]Sޖ~|B!26+8 D ab!'e>&i+'fdM9 PYl"pUчNOk)hiTRIͮK]ɲ?"\-q3!F~U7^ھ0RR+;iH›߷1+Zu^?k3oPw?[{|@tgۿ fh5C'ԑbB+7`ҿ*AFW >/_GވQ 5Jo7i\%Tե[dt͐l9wWm >iYLyT :_cp9$uyGrީK g!Xd at l Qe{ۣu B}LT zlɾ~MUcRA.<V?흐*lK޻n9kk],NGmmG} ^ 7TػS]|?JnDxwBvzH@W U{ò?M-4"4TXF |<NJggi#YuF-qmrz|<ؗ0 mj-0?Cȡk5ML -UvDM`4jHׇT^h_y?gH]:H]lJEk5y/.@\Ub'WeVB\ݾܹMEGa{5G!#UȔoTg<hBY)mM〝$HUIŚGBu]/\ Q=]=bhg&ye8@u"۠m 1(|Ԅ$#)];7U p\G͖_wb)4V }WtWbpo-xH"U$SpʺRWo`-Tg`50 ?Q@Z[d@(H'!ةqOA`c|[En7^ o>0HU7d-{6 4%m|[V!R1nQ-sbu3^]A n5:,Ig >n(q(y7Raz*|nf|jxMdQKVM}v$GϨU$qc +*.rv~H!(.ˬ MKR;yfҝTh,_=簡5.MF)JC/9gNʴԊnU03FNkWc:IEp772; j-y^:懰ہQ8;d1,|.^E)^NCn𷍘ɔtUX[a,NA lnrv 4Nenm{ec!"5GD)nBn;@Dy}L~}w1]5f9 V;9leG ÷Uk/3H%0*8“ba)Bǁ-׉{w3|4zSOwi;kqYIkr8}rB_O-ϲDm"ֵ8OA&[|WR+EpZQO]*jWx_Eէ+~v}>2AXZeA~GS W%r1Ȱeoź.*@wqku9W|9;g!#1>eOpŗs]L$")UOvaJL2W⏙_>% 1]xid @ugz:n|LH0ۼ{{WzO /u~䈅u*T*4| e_CmkI=VwA񟄉K4YO<#K2NFkfbCH{;2 SReI[h{XpR<X)*^lLfn#l@G ;*(Itɻ_p L#rMI(ɦbU 6neVtq' Z(Oa1P Nj6CS환bU F5& Sj_cFc&\Jͼ;TFv6Bڇ?W )6č7:{=Tj6gc@ͻfCFWi/#,WCi$HUYܰx-Z!oJPL~@G#dS]x|l}NyR ܷ+R+$-cu#TXM#dLϧuj7$`˼  2Ov O*%`zXMƒNOT&^T6u]3C~DG ȹa4ty,{I?B`LJ9)0 r1W<0!'ePעQq2]w=/r0cJ%֟qU fH-T_\ Z)1O@N_JZYyQ}"q G}96*pC,X;W̦NvYg 'NU]=jV(Z Pw1)Ln7۴}tq3-yg);-{QsD$CY7\~tW L&eI@:whbau q:& 0y~fRz>TT-XP45 S5mhh% s)> dIF{Vw)(3CpM"OSQ ztɛovfj0QA brʲrF '̫~rR\ .yӗ9;XwuйG kipsu$GWy5m~ \yohd'ZOcp>هߴQyZn7,wHAKi!s;jbȢ&JjOV'c|)] £3P?w 򢖸tV+`Хֿv0١-*o JWKͧYv!vGuoXnHbs- #T3-AC*H~(&4 ix(+&Wʖ<L'6 mox폚땹. xz0,Z$-jdx}zyLTT=.Dw;b4pب{SuiD/5XuvDm[jߑT63/saID`=H@ߙMœl:h i(b׬tM9M #EfnЪ$<ݰMz`fކs>FڕoY< x)%֘TQ%#jwۨCm줤7;pW=Qm6=2>7UVmQ: $3gD.v= 9t({:Q9ػ93i,_=1fwYΰ\*ݸX8nI 'K/%j׋/ud&gIJ 'pv(8Yb7&¶~"m"CLER{0V̓}vI;rf?u~9Dmٌ߲ .YA*jzM+4")kO=嬛ak4 +C<HzɨcxajQㄯ)F}Q'*wy@8mkjh&ŊFFvgƵT޽Oo× p*ĿVpn{U2 GPC!OLuݩpP|[$~xlgD$C4r_QYF-(G{4dGzp0xH2$~@Ki͗eOc<15\D88LÀ[Fn5GF`S-$6+%/]sC`Gt2։hJaOrm6[:*`^1wk_6MYT [YsaM X=M΂ke,>ғø N6hloUE_Ž{1q7SJsEǍK¿բ{\4{U?,è1?cݚٲ WAM8+TȨ'W`֎;Q[.0K5q hsĘ zJ׼mZUh[ '%ݩAʂynRc%uiN.qVqyC8h7J'kڄR$$Nd'8nB06g"$L>>-m7Q-vZohbv~c'5ͿXgwnz |-xNF`y-۫Ͳ^ Dl.)n! {FzenP~KY] <)=HUUZ{ºn7>n3zVWʑ z?^s!~nŔ!Ȱd_GUɢd#VO֔n;qn"e\\-t"-Y?:g8ENvLu:+U˔fi3=g8<1eT"nh>YPD(5'?JK?ʭ.)6[0) $w׮OX'PR4-9I a~x l?p1?逇:Z®bpkЩjs\Y}ey>T\ UQ^%t/ҋu.3og#/֭jtbdH'㟵8͛%Nq|OԠIO1xbqb=(Q>X"}2-M0cZ-+$z!sU@rZUԚJ*NwR"dzS͊L&ĤZ톯==F~k}r!lC;/@}JW©@-ΚCwK\tˣC;!1XcZQC|wVdGi]=/? Gm‰o@@pH;~f.,}[],}mclf59"yc=C$!^#4PΊڧ"i=!tq?:e z5VrFG.{lVzʹ6Tp!'6͚0+c21L * (o][Aф!R –쵏`R{M:9!+D^sX5L$'8*.&GoLH"Gz0[ P̈́pNs(Y+ OP?e-z{B?$ ^)rU5ƋGjɏ-Y [,?Kvkmw#6ͻdk撼Ճ.RdZŷo֙J&ɵw>`ޝ0Ȱ\ym^hk$y٘꽰u8nzn t IMt£$sq֏TٸV=$]kr?&bdly_X r=7xF q #G<%cPC1?qSM]| ] Xh5]hBKXsfg56 [KdWU(ϐ{te]YqēVlFק"4 A׼n]搿.Y4n;Z|~?ɹA'_j ?}ZUK t8cEh%oֱm33|c,}_z:sBNl8M%RqR$WjLh[MkB+n^ tnV &v[[^"t3~î( 1Hᶞ?X3i`>X7fAr| 8ц6MDwԦ > >ˆJ|`ܺo0 dzvϹ-+Z.۵HmN/; %?$+?lJKbAW>]_h ]5Js"T⹅xefё{F!:WM@!QY5m]Dѻ),-5judInZAuQ}`3WP6Uƴ@t]1A(x= ROsI;7CaYLw4AV#iOirdpO]G~ |`W'&&jBIڨ.#)sԘa#WWaacZԳHtU\ɛnN6 u3J@OBxQ~aLφ\Xǡ˕}2(.J_F]={^U f&ӮD,GG endstream endobj 268 0 obj << /Length1 1699 /Length2 11937 /Length3 0 /Length 13040 /Filter /FlateDecode >> stream xڍP\k.kp!; >`<'H NH-;_uoMZCO&ed wCٸ92j\NNvNNn4zz]^q9-/:Y N Pvsp99ܜBtd-A5vF/A_#Ɋ%$$;@YYjP;KF+ LvP0+V@;Gu G_t@ul E]_<@%9@GI V l\\ @?--^ -hȫC= @ W w -RZn rh0/,qrth' ^݋ɾ;y}l@`k?vs\܀JC^ThlP''zZq^K>N& ;}}mo ` , 0?_@C@cq8 ^/._&- aqq ˃Ѵ]ƿ|6N}9o0̀Z pqZ|q?SO?F]ßf?#o iݠ/  5j@k*A-^A lcʃ<֚ _lKǖ9@M'W e4ZV^Jil[9Yb|  e/ev^8A(??C՟C? C녌/9:/l@a?/'/KNy^y_ r~|Nh3`n߿bo_uhRMouzADk9;㈅yT$" \P u=A"D'Tk-Hv/gҪ iܷAAϖI''$vJ|^i\]q(5} @=r,)&fICyEDpgA_|@[Șǂ<a.yG]#VjR)R,fbK,+:9橐.&K OgPOrUg\1S yb.:ɈSx#M&\È4"UΎ8Q)< -ah@_F?>Ҳ?98IwQ؇)?mA#qF9IKth{( }otJ.(_EwUΤ-ڝ,e/TU*Kb.q.On6ht.)5Iq.QZ[ QqOѓARV^ySN=}7Yv97u6N5VgAזU$)2EZ!g@2qM;қBC"v ;f¾BJЧc&c$шFI5τέ9TƯIGp{WRGbB?썼&E!Qfষ,x<@Z w[׬S_l(}j*XQ'b&^59̈́2H#{4m5eYԤi\M Kp{RPZ9#-&YqqwHj}Kwx;rOQy kqR6.a a^c|T7|Qf:N*¨ wb37a8DZYϗAYh>X9 ]]MO,>(@/f6D<˚$zf?2񻌊(_mtGGt[:, jd7 cbikdX(CCl3LV$iWTot-c>;09ؖYF-RM&N>Zjq(Zsϫĺ;j9ӊ\+G|YYͳ~*i?-~X~!=;a/޵廐hB4y7z!<'ƎQ ?/4<< ךBBFQBaK)1 sy=TH6AL) Cy=p ѷ& *=C4,s6i4g }ܫVjXoVB.iԎ:,G<(7T^z@t9 שcH^Ce'ޡ зbU^Gͻ !yX=oONUZ&?1VViIa)ͮ@s6Z :*Hv '-~붟2M,U Q%*GRJ)|T䫖OLߥZ.>Eˆyu_;V]^wLqz>rMo:?-ÿZ/Vxzy┊o)5B-#CCdngrbb몙lM6jrU>4ʠ*܌[}_;wYl ܃V*>f^pKO4 7\NlkC-H2눖8c F`SPKӐLNS%qTԜ; -mn4=yC!<W6ģᑾ=غYU4/6FJzhŧ~#T,-\/x^ۖГ@*n\&8Y LM'!ѫTE޻kvePڡ-mJ-mм,k0]O-ayh8s})V_=}nJl6yѾ,OƔ֛Z:$mRni_$! mvq^hChxXJ#b#$͖MBmc>dvEDS9,Ptݺ@US&ЬJZo%wmUG +K (rg 9&N>:y-υtkO2E2Dg62\qo:|Ih.1.cy#\2:,-9\(p:܃<ʉjs} LUt(u^MGgu>XG`{%r^(=Ύ$|=(ua-ʄfx& U\y}[2$kx怱V]!fȓ@MPprDR!-B(! ad$()MZ8zz{Puo@υD-6񹑩wIes" 崢s)?΀_mF7Sͫ%+YH(2$>#6!0x&E<R^^ §,V9'jOS6<ˉ߻i qJm\G'=>\UUvTEOLvS+6Gj(>~2)r/fM=2-,rC1nJ/EﯮVGD#r !8O5h}ZQrKpmGwFnGv\A6Y*b8o /d~v:V.Wp3SHE~45v^U 3uFbٲ)+}+yvk>c:Vr%Wѽ_q9*౑ \6-n5Bw)d/)qRPWlE_X,r{ֆ'ݞQtTbIq:tU -mx2^$sBPbJ|nS/Rj}oGB-7ţ0Hxxc83oB kv# G䀊`j!lWJ?G轹I6l6V JW[3U`"\_۽9~X[n?~N,w0*>LÍ^NS£|Emy 5Pt|IfLLsN3 \dos8O_UAx>J/xQ μvZ!ϩ x;{D^UTaRժt81x1B"+|(9#LuBn` )צV^.z}.(e=HF`D=JX6qu0f{zdgM$,ճ5*^/}$ت XzSJ&T_{z' V%2!@9ћ:uېO \.c&v\vbO2!bmOW[@fҍV+ NS^k#V&}HoN/ŭSCJ DB I"RJ2dahlX~o~3Lj4^׃*l$Ӌy:eRE A wD?G䎹gF5Z) 7 z*{qbߦHe¼=ժZogJ;p/vh0 G"{=4[?$ 4h:kkG\k8>h[wJRoO'Hm-TCB9tXj ,IJ u40lj)KzJձ+w8"#7CNNBx#> 4[M~,`STRk>V?\ ݳ׈TPK&xn8P9\9hJILHV/H==?:ԚOBT0 .~7~/;'1d#k͒Ab,lŌbc'OQ%f\Mvm$u3xeJ{hj khO`KbHY;Yf 6&M˿媈OO\r?XT~canv5| 9跿.#VW˶Px&VZ]XRa62B0H Wh.)s;4wO k`C!'\Qf@-`Nu۾t RD'%!9n ~Chc@ty,Lz'q%`.s_i6w-v} MC#JBuIM P]uY7JHu E@ϨϦˌq9|OTJJc/&>o{zpZxMYY(cu.ը m#>aW\ahIFB 옊tIOwrDurIGbw|9 ÁF\9lᶢ`C'(TߚN#tѱudgO}Gi-ёzق`?h7K*O[]vBut#q=MWͪ5чNVi/%s+Ƭn> @԰׭*L$Kz.?bq+n##*Wiz yvX;HSboօ& 0:{Wk: W7mX/ mVS^4:2Y(Eqck~gl~[V4쑵))Ei@%O ),a1Vzifr8HѡEa_ 4Q,f] A@P_Spn+o-hM!~P^h-aJd?$/i|^ /j3K Ɠ #j}I3tpmȿZ_mCXݿrr#ֶrߞV+L[v"?dM%)Htb#* TyU%pŃI⧾m҅n]nv7QF/Mtc" E}4W;ۼ!hK[׍&g80~ﺈ8H_3X0=;LFb-ط&/= *&S2.xPEw {N{W8݀3?o!6[9ؒexf[OƑO9_[Y5&r;]_-yP$NMԤzcT]eϒh`ƺpD_p-=a:bWwH qZ(&~e7QʘPqX#nOqJ 8_}ouRy|ĩԝ3r{@Q}bM܁=ݽ>C֗kP7XJp4/k 1"r z-ZGz,S4L}}2lZQk㿽0|RzIRxC}d[frzf*ϛIpܾ7ˎ%>Hh)}{5,c&E9*0yanNl^!~WL>3]! WT-k=IW?BFo鍶8+쮘K9Z"=~ICEֵ`,U~P+04L{o7Da]Lbu0?FKA[R4ɞuY.EuǨU;Ub6'>i*٤@cr'$jrhG56F=1C Qp~q(_It{ud'_a+۩HoMb*MsWiXgi ]R9OmFUx=f#MiʟY/^pC Qu5nFR>1D)˼17V 8,̕k_ϲJM[ ۻ=;2%sCqDD)TڂIl%6cxdNʥǬk`]LHKjsȶYR1!r@_I&}ܜKr1}t0Q4SW?ŏ8uU\XMki+XUpK<= HY=dFu84PN}>4f/v,)kcX BǯZ ljܦѫXs.C9i>kp\܅jc *phϒtDWwr(e_}+}I0t̾kF |x+ ta(TTRHOJq>`^Y63MEwpVcCC3'3&)"2e yz O=SʜV/߱ߒ }g1ki,AJߒo.İu7rE|vĬtQlSH8tAA->Ě܄_HjS@1n"c]`s=aXfeBz*C\(̀[ fBkG%ob'ԖfY}Ge凷]%?'qg4ke31$7_-GZ_nbV1iAYnTHD ү4~iMҿq@n‘U!e%鯹q#*-sţ0\d=45yv(iO B`}v`G/. t;5|krJxh*\m:yVŷyqZY-,.wIerp%R6:)SS p{Ϟz55^pyƌl)Iee4pn&$#y pohPT,.x^W3'bQW%k#qeRJg\o:\yھ@ָVᬗRcS6LC3<o.\X[C X&|W#6ϘuJt u2Qosa̼B;d~>XozD1\uhnBjcnW+q,~Z +1Ql>H@ӤT/@*8PBUlggpޠQijz DXCݛc#rV#*=Ws) $kq.2DXН 9uy򧘢aF5y\xpnnۣڊhԖ/j0OW,CE =c):C"|Yim\KPi6,U@>hyT# 5;n27 I6ɖ BC'2vO'$ x5Xb\*U-GI\ȯ%mp 0i>ѯI=*oФikpB osR)}л]:xOOF=UXsX3tqA`4w KݦrJ)BW nG j]^iW*Ul$ׁ)#b$"Aja9 eFhhאyC2z)b 3hCJ eUvHBioOTÙ)$lCdWWA B+9w3dACڈݿ_ OsO@k 'Rq]UmhK[#'X?4mܔ8meO}+kTs)<+\NMf0(þ&"0x':|{ȱb=-k_9ѨqL)&ή0M8.aIyg%,~WׄmD$Um{tbiG+ĉ %<|c6 0?@ zUt - 17(W/GQoڇZNO摆_3y= : "|kZI?F{(uzg!t-AD-xQBY<8|q|?ֽN[j7sq2#/}g-=͵b78lΕ,ƨA oāK%фإ{&gYI]Js3p&O=ԥyևvzƘ_C67_Y\v 2 r=I0ԽmQ _7g=YҞddwC@jxA,)c(]NI>Ug3z\ Rj6-u/-#a?U!F/)c`%@ Dٽӡtp"rm+*[(Y*z,db>pߧԁQP+LO.wVN!0~i~皴'u6x*vEgK̯ SR¬9z]CQi y~1, # 8ɲI}n!*]"JDU)VWq?9$w<T*V)}n8qEo[ r,ޢQ)o&paA0 <ݫ'4I՝RhE&l3/NJ9W;R"'\Yck`qOLq~G4W1tXp)--<$Bu5]QH`gM0zP6ݙ\zVeĺ7_;F"Kh܊;%DXg_G?90^(j5 $VG,JeQɹ畺.hI9f! V0d #>U ._k~U?n^!u5> stream xڍT6L#!҃t J7H 00 )t+t !ݭ]s9_֬53Ϯ}D%cl Vt"xb95m^> a31BL`+*/ B P?Dg@qT`Wl&9gbkx(V+60'0b@;CE+#@ FxW V ;& rrvJq< ;6 w[~ P9 kqӮl# u}pZဇ 'şN_g;_ѿA` j 8/Njrtu~ 2ZÀjܮ#Np Pk9g''0?ylp^<ެ@m~aуB\*QLl ]`O+;u`?a!~+ @~>v7XCK-O3Opp'=^v:zC~yTU9o'_'  ~E ?*Pg>vY 6Rw~-_V_J#O࿳4 )9:fq ^4xп@jsg7 @{ u!O&aeX^2G x=l?\ P+g'( /l>h Cn3!0F<2M a G$ QxtFLXÞ=' // >`|o/0_3A?C*C*A!⟾Br?TrgB`1+78c? [aL:[W^TPypm K1me򙁷]a&Ud-d?̯)>k oNj1OhF;R'SCEͥlW? ])MO3£[ɳdn0lrCkB9Mw藁Ǚ,&<@pFQ< Uj]y/*㇪#wIN2{7\(̐$+sq8^dѸ6QS0$g6iVoeTlx`_D쮑Tdb)c^6 )}[_$ _Qc ?6(| }: [Vi0{,;Ku [؜DC/[1 ^ ׅ–/n]k?,8aIy׏s4KEvIޢ{<<%9h;o<"f6p-g|!NEx0i>QA.GC]Q>[b9nPn'W#IlMErrS-IV2?zLuǻߌ.{mbq$vB&X|3Kuri錗NW[5}Jh$[A[NTc\߆ V'{Phufʦ ۫Sb|y˗Jy["yτ{γ{$]DVnI_!:v,8<݇ ª_*Mӈij37 ¦᫞17+`T83; g:惱trff~\.ϚGXϪZa6FyEHD4IY׳%DZ0+ēKy Rg~* Ы#TbA%ۀE= VfB\NO;qĄ"6PhZiL 6l`$M%BsoKp'ފc]885Dwr|!Vn5e)ItwI^ߋ8$1:Ag[c9cHx!0&*Idmd*Zo(%1R}%~ a+ͬ?CĸEKT˘*Yi Oܓ6xkEKe*ϖ >JI1M$HZrL81"=fI?o[Z4 _HP{ˤU쇌*=:]&w`䋂khSշCnK)cGRZMT)}{Mзxarŕ6.\3ɷB.ΘoagƹpZ;Uܰ4_bpƋJ1C̅nge"ϓ+2@eb{70jjZqs.㏌x /]H%*2ľ[w=46s)axwUOshS3mBbp_czO ) N1Te!a hf?jamWk0eVLoZ=5l>%)H$卝2۠ED*0#:\D kNbj:.e1,6vBr 'Fyu֓RfVz ƽ/$l!g`]MX DDV}7$sSE^^9Hr:ì:1*"w`X.u%uݮ h:ycjk5ΤώL9ڢN>h;@z9'gw*_Rϯ}![Y:BĠ^\wq|uH#'H CU  *H>T-GtFd+bb EQ},̑W~̞*Q_"ھݥ]o=nLs5M@z!}Cq|F Ny/їu Cf@z+'x$rs}i\}3hejK4d5̮øBݶ Pp$@(kLl3{o$ZJP"wІ{ūa0ZO\~nXJjpo)zX4bzǯLK=@)!*&XĴk:K0y5Ԑ"S")Jn+(sh3~6[s!BN৞s2+?&md{iz];}`~E􀧦~$= 3 |_!X>AdzZľm(LfR}Ir9%xxR o&M x%P6Ob7U?yuEnGI Iq*ҩG/YzcOrch"#&}7D13zm+Z \ZD?yLPڨ$hhߓHm(uy#]Uk~7 |C=[&\G˅#vXT:(<1d2C`-B_-HYcV|v1 oZ*$ t͟0ёn݋nr8kj1yKv3!!I4 i+ ;-א3^v|'1()r3o77p{JB̼׋#RJD/RInjt4'aE]Q,gduV}bLCIN^9$Ψȼ~?-%GݼfwefB֭f*;'/ɶgs{D=:3goHޞTt/\-V~LGØ=F_3$*Kë ,yRqJ2a FhxU=ԗo6K_-)3찊 xTiqlŷj6>Ӊ׊4XI1:P|'މ:Ȧ088S_Z,[ Gy }#0jDW㨘I>*9_NL.\^?0 JSLKieO)C0?.g&ئ$}ǕXֺyf֮髨Uذ/}&*5Hr(gPß~`^,'0G.Ya`/\0>9HEipu!q-6m{;YP4ςT 'ǦwQF#U7uYe|5=%BtÖc? s~?ۀ3o#1#7Oȷ*] {E,$;REe d^pRdB[lL&mH&1{"U&i{!2,wU6b 'L6Lq@'62yDR9+ut~"G?0o3\OTGO^s3mB>fy[PZqlF7Ԣ\֕oQZ^}p;=vjYkzQ03 g~iA}d xYml8ኀA(l1Zχ+x4H6F2 uY~2̿C:̸s]M"jЦڕoONs#[Is=x-eh؉l#II~N% F$;xjb =g)$!J~M땪05s0ȍ(}ͤS]Q7`ZΖde|1 y2Ce]w#x vLLbִC-ӵjw~<-E,dk ה|;tЄPJWLa_ _Je\;C[HevF+H3t+jREܞՒӺ$ CѨsR9&P56*G%R*+{FV}/GvDcvT纈az0L|PÛ4u&79u,n,Nz2d26ͪ)G%m#wR.leX<-e5%*֊̾rwOl8M'TKWT|"6(gHc2Ϳr%ǡltIQK4d?oxX]=Hf_:[R_s >_" hxVLMv◉]cS4\7ɑos~8W aY3ǜz)sb~2q[p=Ft$a[<9}VݰCGY KuEJ'=4.< ;E?*v/!?>:8IB-*eiGR}bl hmVan+i7hI#%lfQ&8M77h!ֲLʣJ{k}PlIG;o\2rd$`*NbVb]zͧNHD&"gS+YCN6Z=wO[DyF/~'jc41+'ZkZybr&+>˙7q7%\vܱEE{6p3M;t(J:tw{<- z^\]7IB=(8SjbQ o.(}B}j?>Rxώ_J|5AhWV!<)I}?{6:t֝kvfF;#-rѷ9EFΪtMtq(vx&KWSza ݹ OtE8bZvwHEhAEnmc>I1?̡#"k+aڻ9YtEwl{SϚ}TgU@1gI23F֪daw^ʅ2{5ݳ֛CY)h;du!u6ZGc۞)B)#"03%Lv4ؗL%%/uJW3_jrvY^#KnE2XI:7 Q|#VEL Qo|ڿW_Un~cD4ZGD;$NDPyNCQ>mc$pi,;yگsj,(x% A5jR<y3ŀG"k]+ 4 "m<\!U7k^Nvݝ\G&=Ȗ{E};u2YBmըp~eďgjoH S;{皂%>@ ?:}vO&p_0ϐ-`X k,,dQJldJނdl10cT3k!]8BO}EIbSziSV*76Hda@0juyYS>OnDAXs-}ŸLϗ{A<v!X*[3AYWNp Oh1[J7(?|NJ0ĕL,A:{K@Nb84hE8BGBz Ȝ)'De/* π$>9܅ -EgT5^~<,zSnO>)H*bLSd_"M_]lZݝU1 L1ghO_u7&0+ R/ƕZWQS i̟ e0l:{yU/+FRXF5a+ 磸l܅elc]16/]~WᷪR/./K|1qL\b`¹z t{Fc>nOe:xc~cTte G&/n2Ema`2r8 _GI ~Z\MB>Զ/3Dee$0TbŖmM#,DEw:a@9]ITcJߧטhȖ[ABbFoyHTF͡wD7'p:P#7;d(fc"fVGނ.oIY{~ϦWȧc;UAb7yh߇1eݨ ]$ne }!ͮ}JBQ[(e ꦅbCa&x1.3 "pz]VS iG-˻n4A< 0)|>bF3*N1i7 hel"a4Pg=`tTώrCFǯaKi:){ddj?LVki:S&(4uݶr^%[NO'VGp_uց6C%HCW!ߚsWOjJ1W8b-;ow'D1>_P] Γ [,2_JKaNywJ[ruIB6Hv{y9h#9-)U|ޓG#&F>|VOiptS!~t}ۨrľuBErDִl*7w#&}MX~Lk3NxQR3`ڣOTP3AtYNy Fa]@ B-.e(H{dۅ.Mޡ?VT;T$RIJu"; zbGlxsq5;`}`[Tãm7OӲ3Z畺6 OE GIrfS9tZMQt_ڑ 2OvTtC cg!I>_{ܤ;[;܂7+L9#s h ݫ3ZH-Mmzl,6 c=-sEN]KqgŒr;½8#SdnD<{G֮]@nS7_k:b]ʼw(G|=d_+Fߥ=ՙd)[Uz-_ȗ9n)k nrǕedƙHj8xi"iMi9,T\18k&sVLKc(>z( j],D` %=G/!pWu&,D,k waJH{$QE>TbG>`aVa5. r|(Uל0fX_+VɋuVx\8txLR4{am<ח6:gxߊzX'npM89bEgR=ֶkPnO qF.^| s&Iܷ[]-u+H3G4W9VaNÖfuTW~$9~A1V;]dkl`~X zJamfx}i{a 9_W4"j ?R?:ڿ~q7:#6Bھ5ݯ(;0K(G;鱩49K; 5~[2S}[ET4Yʣ\}&>Źw.rˊ IͱM\,mqˎ Ws뱼^!æ_baXw0^Deܴ_5﷋/U+ Y~jZb#vT aG{o&t89T^F+[Tdnt@3(3\#?Bd۞e'@.PgB:Ǖ]ʰXǣ4}k-U l;c.㧌?\󞃬_*p+' n*ָ5.LI05G63%yh^6_+4Df<*[EɊ(l`R2:g"vaf=F~&*jGnEѠJ/Yy-#%bڦx&,T7"\q8}*G oL0ɂZ8Pa`%>c3H0aQ]i@QpH=?&aZG?iG endstream endobj 272 0 obj << /Length1 1628 /Length2 9474 /Length3 0 /Length 10526 /Filter /FlateDecode >> stream xڍP. Kpwww' 0 wwܒn!={W[S5=-ow7js &T`qq j\iu. X_@3닝2 Ppsyyll18 Ae tA8z9m\_#΂;@ 0\m/'Z4! Q ٸ: zxx9@E WNb33dZ O&x؃,`7%r8@S^ iY7 [@@+ lon731#r3:%sp9`KI;>)3^ެ XVtsd܀RY]lllia^%?G#%  b:|oÝ 0?/b՟Acd^?/x|99l~.n/?Y@E< 3ؗ*'`٠7 izܐpk,߀dP@^K+C^?gVh rs_.#E TZ,ʵ= T~o3;^&est*` 9;y!477e-0 q}q8#Qnoџ*7*8#w䬖V _%п  |a P9 P //`r0{n/+x Z ,B,CmB;kIo8?,xWjq%$y#-E`ɧc f 8GOl(eJ:~)^ۭמ@?xsoĘ0}Y^6uRH(+̷ݾ n' 3% @ xΩt:os?1yj.v[HF95Jcn͉&ˮa}QKX=H11Ah'~',t(cZTY6Ҍ[$XJ;?k;'l9lc4>"a')}wuo2xvlrE4{8%H-s|sS) y=RHYipM+6I~|teL T^JL|S(ifl]`cԪ)Uйl`6}v=qe8Πg4̐ErkXWAꎬUOi͸bV*eV&,HMmq_H'V܂W_;Վ_C\cZ.ˌ(` P~'Dˎ܍E?`0b?a X`M)olFBλX/ˡdpFH[ZEDf/Hm `N3x'&:bPz|EBK,cw#m"7l(`+0V(5NZ(\fzk&fŃr:I[_ylUmNͧmzL\j=1W'83iGV0)ՍT\%To/,иۇ/ՌvDdS PJ0h@$]{z_|I𺛷%r'N@n@gSR2,jOR͜brapij]pzrrx8 Nѧ) 1kN9IʱȨ\i1m>eK_]mXA1Yꍉ_=ELj/,mO.( r`+t82`CPnTVzJj5={xޥyz`~5ZeJhHZIԣl < KԈ#Q{=&AHmӾ~ؽhqӭ|}-^0y0r;ЕSL~7ͪ7E۩*ꆋqt;S h 1^6v(K w/w)㨳_6o׹il5/؃~CoX\8uX]Qo !ZV*rZ.܏Ն0|9-"I"(v)OaFvѼZH_te֢ OC)cK2&Xn~K}c+%\ᴸl^oG껷YkdnyN6|SCѽ#nß ,';{k[\l Œ,>rbT})Uz֪7%7-AIaؔUĻɜw%ۯDLQ4}73}],sEbUoT+vhǢVلRW 5ס=:u~PJ0J ? ;!6'mYdԮMU>ԈVa1DrbVNm`t) mJ!IګB {EzdBMzϒ-ʧzJT="ei02&en`N FwyLi^jՔ hϢ7+^gKcp%'' Sg ~J=qQ]U6KNbRqrYJ*xrSmu#f?1n}cdP爸laӼZ}eXOcM ˜ H[ MM$ZWTd QAd`!Y $3.\R]+*7889Tܑ!bYUm.[˪zKQ)}CmPos@ZSJ>o+*:Z{6سPхW>m_k>~Bt4p dBmQ }\a" 7M <є Gc}W\;x[|#2|t=O&;^X"[1:aIh,XkC@܇Jh|{8x o^t/.8gynxVhs=)}iIjn0z{Qbl*CŘ WC]}R C WJ}:,6~~x꩟1Yl}:G1*<W^j =UׄnO! ڂ7jA@̛ sӳ|I\lI۫r7S 5pڜ]鵭K D" }۴/X-7Rkx5.C$eBZ1TO %01@1KBvyCȵK6hFQf0Л ͽ!";ƴ53>=Fv "Y3J'%|4ƘS;xAb6VH} ՞H)W߈0Z@j?$U2# 1,|'E EXDՠQy%S0prـգ5Ny&OQ{$)H5I5T1a[Ae t7l9[m'_<~vS2OM'K$ݚ,1_oüpas}"- M'QtCgSf ?J@ o+q%\+M~eUܠ qUͅ{4.ke2%l yЁ%Y @MChZ(gɞWkoÑD4sӱw!ewTDtc1;JtC dg6Ge &512`hEP{S\Ξ[x#,Q=0s_cz61wHw2#I55Cg76sU@GyRµ]4O,%ȵ銝jYq#~wT6ylxIsn+LIšqBrcKRq;ُS&+ͺR&<ÌfS,kxr V J \o9na*q1{$/’|5)Ly9-%pgu,4O=BEx1;Py,—dL/qk\T2e veb=Qw[nT4=?R:vau b$.= ?fI;isHq_F-?{,T:֙d{[kZ7-c*GD ۢ]e8QQυvD6Ӫ |TELO>1a/Tb8`V;аe1C 4C$7"J{jUT3{ݐXn:cw%_+}i֞ޅژ *.;Bk(hoIkPA|xQP'K2%)Ѐ=~r0}TsNT7C^mнI,rNjSs~#xYT=!g JQ8ۛ'&]̜t.{vp1I0,\$b#ِFlxAl}L-z'uǝ6Bp UȢ+fxL#dWrڨ:{GkBw{uڹFW Ձ= ^5Ch`KZfADOzߍ.%9NUfU ϭDT$\ʑ4ai8"yhMJd kn5 )!%$7Ǥn1P7ں_ .ګt'8lլ.;q߈EW;rȒJ })E{y͕w3;V&(͒sphIФU!a$q"^ 2~f$7aͶ}=xHF9oa{vG``@gy$&Ҫ!QH3k 8_gÎo2t߭ɮ T_򷄪-J3 lJ ( vw8~VC۟5k~Dx/a %%~^z W3@}0GVt3!$52yVN[gj& P-AܙO*wEIT5Amu—Yb8ńcSb1#oׇ4}*E?6*}y@}=8򾸰ښ gRu(&9(Ӻt 1KCzpkҶ3E(e4+mVL<]21uIY67mnd#@p&SJboX HL֖FF"{~x/~ MG8y!b窔E,{9VUL A&)ı'mFO'w٘m&'`&^O N5p*(;BW7AXV]tEU+,T8),Iʭ b FWGt3]V0J\T5ԔwNh) rm&D`G, p=.vxe 4+;R4躁A"yk}> stream xڍvT.!RCҍtH# 3 tH4ҍt !%J+]sֽܻk֚ywyװ3)!l*8O( x/@!BvvC(솄" BuJ Mh;b@ @#M8IuUupr%$x``7- `-`QH% A\$<==A0$?A EA`$l=. 3?!;E6@أ2MPWUsm_ _멬XtU4[DU ;7NwQbE |)Z+/{0 ן@Oܽ0yݣ4FBA伛8磣QCQ%0u_ "zY<lu&gG:pk5Q?:FQQanTxu+Jb⤑DIFtewhay- kHRCN9?x;9ڏ(g ~%~ׂ+H{.evb?( :zyLWl]@:csUY ?]r o/pp 4O6Ȳ/V|g97"{mF^}}9!D S:X76ODI3FSY)g)UIL<ߙ$ZWSw8˼oTУ?=~7dp|zv6U_o\Kg쮭9"/!xxZ2%:R 4VME=Smi-Kdc`0C̑R5|JONdr}s/)߀4cFqLMB `roҡ[ T k5!wFNxVfy8ZUIpN5b[%|W54 C:λ O\%Fમ0b}'޹]c;+[?=)yjio[/n!]7n=b;I ,wiYޘvzDajrW19Òi=v>P>D{y;z;SY 9.X=zܢ2 _h) ˸H=a$>N3+a e#QX1w_4XZƹFjD?{tyRvnk#Am#+bcu'^gM(iTUHipT* 7^E@]rSrݵ7CYe*0nK;%d?]yS2G彚'4Y>ء2!QGbɼ .HDi쯡>e8K=)sXW2\-70bԾuWMҲY 1OEȊ̘P b i7,[in2Il3(=vaP@`Rܕ4VUz{Ma_V<[IBx]e#h:@f̞y6VI%ݡپ5\:qB>^ބSh<:Me*/hH&75uGd#v|T(lŋIQbiLQrLڟ<՗Գ:{Qx9yn }_=A'i~sHX=#yUľ / Ԧ7ꫝ~E%9,ܻA Ӊ޿`X#I/e#qF\_:y]X)Q$9I|jX/J}0+?3(9k0 "~'+e2-O~cSS4)ג,Md'V ?,*F->W٢~Qt;*0te W.p֟.\V *h<XDEF\PʏrsTZkq#n)޲fI ǻzм3 4e5߁i mm| .UAzƖ{2r>)D{S5Z8&h"G̉էBd3|lIϞO-Ѽ['R ?5AX&4MZ<5tpʺlD4ʂލoq2V?̐.joXZ5mدN(8eu~)C/p BtvsPpEKbf>fb0DU7g ?e1BDywa˟l_ kĦUM+Ip_D!%\PqVOqT{to]S{sQ^,0x=Vezsw= E CMr :a5d8Ě;luΜpRoN]qKjrגt|R%Cul8cڹ~m8i"dQݧRG2xM٤nfx~_ltw{G}t=9\S8m.V597n?59w rvfN̠,w+]][̫*(G cwiM =2۾L\ʢk]:ɋ  InZx~iG rʔd˵?edPjPNWyL1C65q?RY噵"K!"jLd ,6TیPȲ4:Vd?50>dN CXzZD!{횣a䷧|jپf]q1]јE!ZKxLef(Dc's X-|#e f%-4273fka>i|Κ{¼%k(J8Z[#$:g} AK}UKNSKS^UTUc'q.fH~Řcؚ-rS ^RmI5ޭ 0F)~mLW!=8Uom>r+ZI2'i<̅ܙf&iVZHd^.l┼~6Vk})s.$pz/%y[#KIQ6JTo bb| endstream endobj 276 0 obj << /Length1 1610 /Length2 7947 /Length3 0 /Length 9012 /Filter /FlateDecode >> stream xڍT6L# % C7 ݝ0  1"-])%t!7s[AϐGnQÐ<@ YXHgpa%WD@@HBԴ03_/"/*@(%' Ѐ ,pW#mw ` B:@\P g! }]t2/(`q ߁>WԳs]/񯤄P):{^W@!Z(OHFEDzq* *J@!`Y8X2ܱ>Vڨ˚I<%n*GMv T>uWeO~ۭڒJ4X{qoh[C8ʳ,C$XTōZt>;/5L%)lȩ+#ޞ?2y5^y,g?pν>bhZ7ZW`35 nխbrJR3%KmN1oTMg. {;}1ݑd珎#ê :`T_&t{4-SN0#Ļp5E_kH<0 c=FR\]O\ɐ%G&Ơbl<#\*2tUwwIZܺ!}ΡYȽ J^^PL^[j$_ #2A/{ͪc"ˬXd- a]3cR' r<|[r·6h!|ctVXPnY1L'ɂmʭS;A1ř1~X:#$yYYdb5Y'A$o-ؑ_)y|G2j '6| SW)=?.]dshïs'%+2V+\2 5o0]e,incL~_jZ +" ʓ4K%-K\%`%οS,xC`KFi#?+oNR}KZ׉eX}: 8ɔ'ݟ{mJ7HF >Rg'sY'nM>!{'o? nER m}D Ɍ ٧] 1Df}P͉;N-)aS Tp bM)vV%xe ѽbnfb [\1.|eҮQ!Dɚ<Ba=Jc q¤^s참&(!&?$v7)LIc4(f~׼;ql?K_}\01N޹rεʙL'~آA-2 2$|R|+j~t*b{jr )cRD` {AVŠ' xB188wWUdvXļ6܎ͥVy<[\P$~m62)ӥ僡$7iEUfUZ|wvsѠ䯗f;H]r(|~[N9;DR2z<' `.8{g .b׊[xY?qᢓܙբX|@K.38Hc #R_AKWKd]kk {AgR |/}K벿5FOǣZ#_S[g_FL%mQ,$y4ɾ9Ƙ/p<5x&&P?Z OtOjA T()ң?>P{l?0ˤ2JA(vQ Қs|e_@("zCŸ.e8f6p47:3MmP  x 5[c3"~H[y>Rjw_6TNF?J9Qk>[4Gt ^Ň &ԥgrmw=S?Z-䔝)Yn*}3<\ah1KΛh'z ý=FjuOm^jQ0Hp@uoJp|8I8wnLޕR;(6m~pz\ AooVīX ʇto%ˑ<):w\xfޣΆ~{ڑ*{~d,"pZ5^Gmc:sfv'XF҄`%6B wKNbǥV+n|0 |2mhIy1I\2urBz#!\b@ 3H!5Md|&vڻF# ɥ)Uᔷm5hd}}_Olg#ՓΩ{Q; QuU˫h9z]1,dM6,_o wtX}2ʺL545o7ox}'i\g'+ѿGm]:R$qv?@{񞙭JySroƦ6BBf֓:fWIBs Ӂ|'s›;8^0n|jiْ\ȧ#JXLz)=zĮه%6爼 DS+F^N]F+%xULՇ4rTOp66gM|~:,|VF f_ We{VVo~¹jX+}eGTeuO$ĵI-Ů{7mn#ls_G?.Qz(f`k{<׳4> 8"wV!]qoTJ ,lhU.;JQ# wG]|R1"|vphAro\ 7d4(Tt>mrŅJ\&䂋޸ -Sje-!y'yՅ!\(OIEOWEpsjx`q=].:CsZ-AD=ۨMn qCs)foKxnAwX'O[(B>J+N~%mb*O;${ѨKQǜHk~>yoEٜ=2r)=9L"<q5ߪ5Aℬ=Sb\\npy٧k/%WWptfrqoO[өb߽b3/.LH)LĻ*/`Z~n=[L3 [ NX 7ebNhԸK[KVUe9gK񯤑X ja&˧/ls"8hVai$OZ8@;^;;MU"E)%R3ɷ77Iѫfc=SJ:cAxe"3'X^"e4;KYG>> :υ c칧$rb"TIY{([UM)lxya_bm$zu4JSrb20h߫BTf^9' 뺯K,v% ބa`Z~/᭷fPѭY?ͥ OqF![o?~7T]GZYLA(}`IrCw6Z|/6О{)X8fnl|ا"mNw=nAOS\E$'_$0uk`w5fDǢWJ3BUD&Xg]\A=]~ߙO kW#;d)]؅VܺJ${:<&y-O34w)Gۦ#ԿIH1=fgJ.2h&HsI{Dk7xzԏ:Օ~z"kȌ$Cp'6xCM,߭~t\ijbٮP``&H[ss\ATyww2Q>7,T5,?cbN"\j$ L}X '2 tKgSt^5C Imz:ELnФ*ʤwPmu08)_B{Tk2%x:wG/L3vj}wKNzeF_ad(>glPUrg -V=v^ӝܖmaؒ`iU/(]^\["*g|c R$j%~hY+Y 7)tNP#[VI@Ɣ5J:~\{6l@Fd vP,*K=p{WFL K҆,:8ْJd#+RUi@&OѸ]No#,u,CspRB:֤YahZ$QYCu"'6}œ{D_$F_0r`-)$t~iDo=8Y"TW/4+ ZQlԹƿDZڎIae_vdXsG`#6? =ب^`[lI~~ JiISw1?7:t~za!fR.QmkSђwg ֕Iy3,]Z+#m1OqM۟);i*i_%AY5 [s5)+[^~NfqȦ7;;F2Mȵw-?iwބVH@I\w*9P1f3><܇;VAe&[#)㏬ ;agj)1B/Ÿ_N}*FݒSD㾇WtbvHVdxf10SJ+s 7Z쀲1WW/h~ԑp@^}WrFy5w0'vq.rxIMomkH[ӈ[PzoIQJ:&'k#..*5]F\x|Ezѳ**-3݃)tQX"8 :*o}ةPgRAIVѳ vʬ1|O}qVlUZ{{-l$ͻqR!p;'>!94ZU2_N*S+€Y7сO)kV N򷖌|L/k޹ ?84ĞSnq 2HxC]U7;p` cA7.e@ ~\ăj3~V 6LEzR¼VfR N$?<:VNV?.oL81u[ja_@:DAmh.DFcmd n ^~᫨U yt$.ipcjL Vxy޻b眸w4G \ePj]+MMi"iq2nP qsތٍ 5FҘ'ߝ+g&"pIrWQpdg.S[qL/#U{8Okˋ'o*Rφ($ |ïHM#1N5ϳ{䗕J5ztSObB endstream endobj 278 0 obj << /Length1 2386 /Length2 17605 /Length3 0 /Length 19001 /Filter /FlateDecode >> stream xڌpo Ƕm۶۠ƶn4vch4f㴱n}3;;{'uRj09]ؘYJVVfVVv**M+W[࿤T@g+{@cWLd`wqظxYY쬬|1tpH[@* G/g+ KWP<hMl||<V%cWK(-@ ?,,v.t+WK:4.ll0f*˿@H`ke w9ٛ 9E#_Ɗ2`56f7?Ʀv^Vs+[ @EZӕ`loonlekl2'qcT߿s1urtuav]!oP$.rXm<}lneof37G-{+'7-@"?2 + t=M-Y~kz9Q#02~|\݁Wg7ߊEll3+SW ;H 4M Z<6 @e`oHꈿa<>L&v.V++,V΂_ɂ=} :r);6\/k7i7[?Zc;+[A }% :W%ʹ΀h"m 4Sr5תKZU\~_(&6V*SХT@СߐRfO;7 4b 0;\`-A<"ҰHA?"X  `Q/qA N?ĩqX4 PZ(S@4?zP>&Ho_ҙ:؂F 'o_,AEffb-@{ T20 rVq9os7翢 , ?q:kh $+>+hAPm]vdMj)CPޚA  _GЫhGon9@:ALY9!'=n.IЀRrrs]{Nu Դ?\﮲Bq݋,?N<_FAiy$ oϿ /AL@Fn"=+K ubLBT:|VQ`Sj7oRvhoD5F'u<>&w |)>k"'b=}qlwrEQ-ļlX _W;V@|y$gƕ'%.1 a6g5wmE@]{\׍uM+zJG+Zhhy;͋SZ 'Jp s.F~NlGƗ_=HrT%THL ̝EcOg]냓N|x}ea) UHR2dƧpᗳ| @A?;^.j#j-y/'zt|u]~jeYØKYR2,Ťr Fؕ3eWJ>ꄣmd~{{6bG33[>h2[=hC0CCJm'dYݗ;'g}Τ7sÆLiBE{`X 9]W[zՅ;w>ABL^O EH87=m{%K΅}żÌHuX _}?$6e%sT7PF̺:4|PIm pndp,Y L{\9JBµ1J g ѝ?4 {G{p%r+!)`-mWjIn hq6"9d8QϮrti@Pvի4hz!ߗngFx ^ͧUk<҈n¿Xpao>C#ubu='ISyڑÁ#Қ8;ww7%Y+vO.W^Q6< _\|+B͆{.@et8Ya;{YgbK.5 礟&FV5 Nf'GWe[UF\j+`8@lA+ J^ e/qjG|{i TC3MA%,f)3m+$Pi!|;+x⺩U["bFsW~")q ȀQE s7 Rf;\A{ɔNG,@їM!x ,(Fy p| j@&J\ ?i~LT  NeU)ځ֎ XABѣb̩|N%HFunAۨWCE]9쩢ɸb e?*#W0 iZ,=leھku~Z-/1OdC f+GzܛV,QQm{vwI<Bx|T=Y;9W75BNiP5_dꥲvuGjb-d,db `PsZ;9i#&w5ߓº4n (l!("!ԍ63ejRCI;nWp5f.!1)Os̹>e\{/tڮꍯ(akؕ|':\#N ٝɏўP.btTLްC4{K)$X_m@R8g$=Rnk.QE<ˮoL!:5aVN[Ɠ7̶̲! DyCsiݍtY #}bl-[7%FkJn*&㠿 Yn=\cs;d~W /m1a"³#q>-PcI,b-aJUƣy>Ғ؊<궓 D.A @;k1eLO=$鳥ӴGQ=%;N,5*3F Ͻ}  cSBgCBG?+$Bvw{H`.F9Ǩ! d7kU?l? ,pz: >yimZ@]H{ ^;}@m.TOC9\XjQ#p1|7_us38ͩYV]#Hɉo^ his* 33ia:*Z K|Lg,۔I2q}r0Mqs ѓ"t2۞/zq~Դ6 ZbW՞f t^! y٥݅ \:u!\)̿jơ2~gX= +d5>tcƊp_a5L4dz9ͅQr>2!1L4.Α;4*/VrP*x@50kD 7feL9hx&1JK ;jV.R33V7 % Ӡy_A|dH9+넼f2Xc\Gܛ r1vLÞW._z:c%VL>1Ytd2W~Gwɋsnmۉ"Eh2/jm#_3ןɂ^_M OTu{UZ4:*fMмğ]YQ'1ɗJ\r4r?b5u^w«aVEF˩bή}Z۰^,"&g . V_Gk~`Up_x":@)[\Y956C!2䊤 Sgk|-NFguSXu(%?^R> .^F9F~!MQ]&E/~dWNXn8Vgɘ'HaI@řtԣK~0 {m]A5<|8촟'_ԓ\2~{'{^dzCcMƣwK,?UK#kw[ ·m^lRZ1˙aNH& 'TW&3 ǧF_ S89y3UU6ߗZ).6ڕoKC54im~.V9t9\F۾%_Ai2*Y)&x8x2-b*?ت*JtkkO1+#8-#)-W|jѩ&eW{!:ğoNz3T( fr diV x0f̵nBT4HZPPMR&?"$#E螜q_m>Zg '6ϨRGlcz2ԤS6yڹh3 ~i[f ~LD;LRK@_`3[O>V`'nqumԨKN4cRE! ,A% µz5Dޏdp;oYD: =P}ytocl-V^  rEP5T|́DGuW0n2Q &>3$F{ϗG^- {Un3z `VA-hj>Xp§jMc\6C xCVz)׻=Fwރ:?46/:mT>q{[+@F? f& `7U6'R"ST+yw|@km G5Bc/ryzv'%l F+_r_D9T>"\h@Z NB֨s:!)ZJ+=4ig+Ȅ$.-*H`K  ؝$=؍^Hc˅ Dwέps "zx·ӑ# 3 D޷fre&C#Y GTYaˆ]-z8;_+''%3ew;;ÊC"P_<Sr?NTXٸ /Mmx^i[ek|gS8'!EIrj+X @E+i|.`q9W╃ncg \4ze|̃d3B5aK:xwZ*Wiώ𘱞J%>dus/}qDM{Jie3{n%o±G(Ш6SBD'n4 >w-ߪ$Paw'+LQ!*]v4YxN{\of:BYĂUվ9¯)S:`j$r"=nTb6ؚ}CtlnpG045pq眨~Ȧ6JQJhۻQwj1#*m`o[sjLDsU\'j89|\J;hNjcGüy;7䰿|4ɦI)r[}Uuhcm{rd8)=v$[^c`oy*9 ߃EV˴Ҡ/lJsyښ ]t) e'zUk/#kD6ru"8~zОL{BTL}>?PׁJ.iv~Q n'6QEb},|X_vpHQ#>uV\K?cuJH?_Fc׆%ńJJ? SDžEs)?O9wLږ ?4'txF궄7H(X۴zd>EADNygq" cA^јJޔ/M4njɽ7/CntTQ(Owe8D(õWA?EH5nO )Ʈ ;F6(-EޓӺ޹!-kt=I/[d] 59"j%m JajOwhp7A=B}`=% gAIC+yX3٠.rtKSƨ}{OS$_VtN!c| %e/Yxg{3M'e!Mt:oZv.8"u R5 6 ,XΕ;C_VӒf7r3܊n^7d0w7ZHGތxN\xmh-=5Wwhy%M{Cikǭ%_ f?{ Y1= J=俸mԆPzG2E sX:l0+yqYF^dptfdž>hsos`P@VK%`TVBN?2J}FaLi`U jd:+f xWw:%aAh5L@*x^w _!ѐNxG݈z5畃hQ#j(EI#,=v"AU&HA#XP\S[}Whvl(n^9'˜ͤk2?/tgMhV:.NUuXx ۷b&nMui4GwE띱#300WWњXrK|f JHӘ5#v Z jޛے[ORSj7}y"T !Tk|ԛx~yk2そP12[ffq]?HuI8jmcfOYEG~j(LFu[@`ŵ}.!L0bY~}ߔwS 9Ei74]Ύjڔ__IY6+\<^)&b/tjKa6C6$;OP!a!Ŋj?oZ$oHc}q~q vhQo03)p.n {^nE{muIa=roFJwqRv eOovq.BIy^GZ٫ɱ|WS=,FB.IñFQJ!W:4lwZ'._X (o?:3r[P|zEX+CƖ[8,Q. W5v2R+ ،m%/T$ӝ~]) iXK%ՉgYĥ_n ˈ#A' ~Mobirˤy4MWH-b:&sL+ SOM_*52nuBlluCGm PCzâA^k͟t/7V %`G=, K66l69>g`&G8(!Ҭk|d)2.mNؒ'ij~KnK!8h+\/:Ѱ-Iq'g?/X :ȩod~C a+7]vW;EWlL?+2O; 3kPPx^2(v$-)h1a>_۱bR^ۚ3|w:FIQ/9m/!MKqA5[w\FvlpE4-j˝}%(A  ;&q)µd5r Dnv>usj%l:>@ͳخqF֏aR׻.ӪϢZsP⋽٣(D`jYL6~h_yX!e}Sߪ̤4>;+\Qb{J2wqU*gm*Jpoc&l~i D!K{y}`Vm#k;FŒ{NREF dm >څhּ3EjP)VioNDр1Ŗ\bٛ:vey91qH:rBSZ: W'DNs]!]_3_R2I$Cq${w) ꭃoOImJ Vtw`9SC}"ܗͨ,u,]pЫOV付 ܐllʼQj@ygbuVP5}2mTw:ٓ>AŢT] j_BLKYI_xR cnY -/>!*}vXڣ <wMpfЛfsҝ'JRJZHnȵ8(Εq~dΩ#1D_;{`P{ sT\ȥ?Q7)G%Q{[&$)WHdGvM]DӆcĪ?`:L.g/-Zgm\#:+rRج' O+$va>8hO^d0SU  t˿Fo~rayY۟(P";F1%GQ{ryLYV9ǚ[Z:> \0C mJ[B#a'm>߿[27;f@{32QQt0в0IU|rH 7 767S AˋumZּK"wPH(u8l"urI8dWIhu1$ p+*O|ǜ~s/iI"sGRvXqB^)a h4z09.EDЩfwpQݯ5XWk{VWl!yX{vrZƉ])aQ,Qt3' p"~9j%党(t lV{W,yxNARXh]n!gb 'C/&~FQ ^gF`)Pmj >b)҄' ;%56䐯V G_9fZBEn~!7L$5F6F%>BWڣIJyR'8Uw`*^k%ZRd)&vXBvL$*n2/\8,e Ɖ/B͌%Y5sz I`QCt(h.ҎqkծaO?5C{:&C?\Hy6aEP/tG{t0yDݡ]zq ah)=Gbͭ/ # !UG`/  4A <)VU l|͌t>{V-xnd7t[+_ o3Z--Rׇ"np}4֍?9옃oʿWq"og?Gw!I>lR, ɭKm0rhZV^kP A#|J "24D 5+jOI4Xe=#s~+cW ?oo M,Z#dك4=AksP6^Dd|Oz]/+aWM2D*ZTAcm%lf -, -3,RtEVM9;4ؤ<. pų̕e5:smp/`WKxcXވon\눷˰AYg?kF8^>pM|Ii31-6h&.1 GY$p%;NBz8_uL= =`g."g ӗlED΍|x|#pe|q*ȂTP_qTc%t9oy!sSaKkjQk-أٳwx˵_|z5ļkoM??;auzA#_6ceXQVWoYݾXNOAG iʉEdҌ}=$ rC1j|협Y͇$ v02&hf8d?Sy/ia~p4Ǝ3nh8s||ybLEeA/=qaqe9onSS,DŽ OqWS`+>:Wܗw(:r|<7\b4u$k2*8^64[z\YKNVF.5*m,lv%%?}_I7oM%hU%hU=ۖf$4~DH[{*n_\tA[6`b n34d,%z&zF !0Tn!+y4yy\o(~g1, A8>4dK6ǀJp/o۴E}aQ2N*GUQ/R "rԕhf%Q!>S6iۨgDm"yU T~`+491TQSF qO.vV!)DvJCw"2 b7ۿ4" D"]? !|5!Y1u-Ф .F-!*u òCqlܲo3> Q˵LKQ\~aƜc*C$2[_o,I扣OG---WNYmiP jk]QipE6d7TgOͲP f~r`X%^nPsX 1KǪC7R#T&^LۼjFMiBoxM |\C?S9H֋¸+vΌr %t7sI3rets0udq'q*9dg!ZH}v[R1㷰Las 1>A&bo|VyRgzYwLV}Nb# r7hC%Fu4O/Fl1<B+x% 59 6[ž 0cg qf'?18;CHgf; s>J}a a U30&գ[ܼZ /ԋI|8*Im͉&T_cpUr߇ Nd:zyu9EsZNdx!5I|N`_sdsIĩ!)WLkH(Pw=6K/r_!ښzR= YW)0y9N]Ӑj]ua@hy@q VAĊY󧐼( w1&r茶Ԯ%֢/, ? Tû s7>bwqUG t˧Ι֏HhmHi-ve0׻6IQ5\ľ*\4Rӻ6kYyRLDFp+ ?s-)pvo-X)&;)R68XD {a󇼝9n jWko(fBToD,sAƒo,E+8'2*T5݉ ۋaVְ7(*Ԝ+RSB58r\Bfol~2t9UA,CYg1nHml-64Tk?n yVi`ût:ҙvuQc Uw? c)mӧb oLmbq~ )On0(z#03xDǛzKOYzU|ǽS T1Ssfe'By dw!1(N,UIZqT#!//uRM񯎅psr[߯SGtI1sӆi}>͸"tu}ziN̜aߺAo`m+xY0.|vb ɗbؚij[H+`9eÕfw*\O`Emҥ~07yye3oŴqy͕aR1~V]bO72)i, gSnLQK4%Lb\RRzR9mzI)$-tϛ&o)&6+to8+0ld8j2vvX;Oh3xX*eEA)127 xá[Q9)jLkKפh:X?Ae AWW?#&_Cj[&-lie[76~mjЈq{l 3~:1IۀgdnƧQ٤gĭ(j/F<]OZ%V6뿠 ሢnN/?z2jU0<,g;qȤQ?} BJV+j>E:W߾Fڕ)g-v8`kw ;eq |xV8tw% Pb:%dKIUebe-L^%^_ 8BF2J> ]+Xj"u4kV; p) .Px|'0q0J%Pi ckӊL7ot5LKDWhS辐v\?p&//{|jtq`E6Sٍcj* 0X{dIJ'Fn-lAW{y0șqz[p|'qw]i,#$ )!ǂNR"=J_Lb_V7qHvJV&s F$CSrmO ZdH;wKz_P^Ō^'L+]ZJ3Ñ;3ʲ)4_)}cƴNoHik??)&o[- 9 gW{I"8/ˏtn5\fyQ|CRZGx'IԾ2}cc9r-R&??}:d#y$ @Z4 ?0߼Fs)~Fƅd$k!󰣙P MS iR*fEUƫi@iڡqLFAuxx[ j7_װyS<SOUhF94io=ۜT̬bzgA>>O5inrx!s\.|R8Fh`Zͮ0@Ô/3 (I*%k#gyttґ.oHѪǾG^*݃Q VސH3˛{͠gzCEě9^mL$]7H<⮞f]1?%{mϬΞOm)eyӣG.lMہ"XO&P ۛh^=`].,F_$'ۂwL2rnj#+69qåM w= $8%"9Ȫ-ɨo#y6=][`򟹴}=8Np*KJM 7,VWaipdt239 R~*z=|_緰vۏDI:*yJ h^ni=>85 U^1"tSn]P?ϰT1|Kg,YjW9.h:c5Z: |;ۃoLΗ@٬|,Oˡ`_JxN4 2Fr%?jj]L62.VSU%f]h^7[5c7PG12lg_Iȶ_^oSZA/E Pdp<2x,<|)[Ɩ4Nݣ'Y{=6 }>[v2!~S?b2kp?=*2eF3@-j٬g=dBu9%"$щқJLr8FЫb XvUKAޠs}&9WtTq$%1gu'\䇾--.Y\!SՒ sLYg Yܷ[\Z‹b[Gmq Ve2XoQ.A]?MzgY|jOBi~Qq[G.)Ȱд/}*|d;vi 5ߥ-4psνJ0{;Q܂EԴ}ejJdj}~GGx?>qg/+ hܨ@֏Hds(#&-PTr1,҃sE\X2 $<_19m>:3NirbQx/@ |ӉF mcNbS&tUkO})@m20 (V:嚎QU2 GMW}r'ٓ2EZoj㉞~Z@Eiy[h.D(qPg >^kF2:hR|[844tTxO1!F b3,-UuouaOE&6EFtQO;(Θb&|G‘&7Lf)7ťRہ^P]Sq}(LLs5kmGC/dM0[ {e*',+ endstream endobj 280 0 obj << /Length1 2727 /Length2 22317 /Length3 0 /Length 23864 /Filter /FlateDecode >> stream xڌP\mn|Aw;MpKp  ؙ￷Ꜣ fu{ZVN@Y';+'@JESBK rwˊB tu9K!6iswHp q qp88*6YTN` +r>,,H8]A`-r@t mݝٽ؜\mDY^ w[& )j06Z-_f-'kw/sW bpYn`++r7@KA +X_,t>'asKK'Ggsl9jl,s՟@s7'ysOs$Y 9Wf rvwcs9OHeVRN@~ W%>gkO V:`PAʋ]@oK[?ɵ}89!֐ k ' `tXm@`3_2yW7"^ӿ]إ^] e9/._qə;:/x/BNA) 9!  _ p|A.Z/EA  \_ { '$?$ 0p5BP/vju@Z H9 WKGk&ca,<a[!L^XBt9 R5w}̟3.~Ii Xy@_9!r/,8^ wp6H_d>ζ@__s@ʴ Bfg w/䂐q4tɜ@^H60dCܐ/nH2g+?e  yU 2eH<bqyt܂N 4'/y!܀!_$qHR"r-en KF{9u/_/ BN{!}dyd[zBf+$|;(sN¡v$^"Ӵz錬~1Sk]Ibl0\/Q<|F oMh0MԜmCYuHa U[|_7K6CC֫_λabyܮ^ CkNqP mE,!;+7i܉g DfXb? Y*m.n""CB2kI:?~e+_[^S䢳bseր4M}u;yPz8;uMTjx5m8u@Nk_=viKS πY~:HU}n4"Et%|{k"Gc6{OQ=U޺Re=4_joWP*Qy .DNz+LjɎ-)fDB]HNZcпLHI" 'bgޱ5ܩ7(i}#{/y/qGdp˽WoW#TR\~sބ4LW3f7J>F㖚JЁC 5rw~̞З:TU둢|ٶ:t6b׈շ]kJ01km/{WYy#2:FfW>fk+6V@"YbW֯oImNx+~BY jIHE?y{&r_Q(f9@ UK 7Kl_Y40\ПG(NŧzIo־1Ru/ 4䭰ŤN ŝS!xh}?wL/\0k]}I^1ȗ o ? h. ]ŭZ XdT C}=Cɺ.#E(t I-dUtÐ/<%ʗU&RVhFb` F78dCߧ^bL~t^H0$vDٵ,&ݞAPI0Ndk{mX17EZֶcCmBS DDI9SS2qGG+yYhdJ##HcpD4G,+%r Ο6Kt)6(8v?*_5cfYO=W.NĎa(TU?E!ZѾKfؾtF~!2y]꾴؎M#;cj!Ŋ6 B8sl3?/ ~Q,y~ d3|SrpBք ^Hp)x DqϷ<,]G\ m͞12\vGG3KLT 6C_?hAۨioY⾣c\]RqvlW?HZz-h2 Jl3\MQKQFTT̢+E{ D'1 [ݎk(J ]<:d} ?i_ _"0g(A7\y,Ir냒8&YTb,HsC&FT,pofKTT*Gͫ:~la\jo6>a{sr\羭ߛZkF*&y VV:UvdOOr~_??qSf4 âgqV_=6SSahd/s:`^rL{ 4dumߍʪcEl$ԃy_e!+T{{ŷ"jŜG?<)t#£v?m%;ŝˣ1Z:: iݿ%)fVlZQb$~ǖh5ξȗmի9e<CыsۖV nr)cêFՒjGR>|M,y:APѻEQ^MZ״Ё.>6Nwum0vo?kTv)q~5Ǔ3}YbjSoc<yJYO $8&czÅ|PzwWC Aӗ(9ry#6XJ$j+'ǒ͂_~1 &S'\ 2EcoKbhZy#Y0GԦ6 7ɽ:"KsdōǣL 9)Z7sBC,!k/( E蓏\" 7ܟaXKnRŜM;0yoIۜ!Q1 9w7mSu:\rd#"}*[/7.#"ܥ{}ۂ0o\~+ WXVYC6uSFmt]aMXU왣W,:,'zat ciw ŋ1UcQvbZ "?SD S~{tip(:hkni <%8&Azl=- u1ͪc}埄11a^\-oɱҌEG`qY[uǤyC@Ľhu}x8x:S_rڅw\ϔL2\1r@ ·_QV*/v18yM 68-bȄ;rF%L#88nĬ!(L?:DXRhx}v1C-I="e|9MmִWd:gǬW>j៚ fa-5 F;?ZV &=4sW.n~Ƴ䠜~g2)A[-B!o!'0}hi4SO ϙ[iM9ﻴa7a}en`KyþUVmc8݃_Kn8#WXϸ&c{e<\Rq'$3)PQ!Etz·`iX!恱zlhrMV5Zb~u~%b<'S&.~7WjncO3' ;>YŁM$( `; Rx8ni7$"dJ3]jK8E#MC'=Ub# M2/Xl"ڲA!=,ik#qq7d}|ΰ tK~ ǃFG[68FN׍Uhp cFY`䫅] G^)~mEux ,XiGj1DC'Ֆ]-SH*qK%D$ZPc[(KL}t 1GqftbYq~ Աw qdwIʹ_>Bs vѓ:g2Nݾ> {w)fBɵ)t ;' 1 V&_YFnBQ\U Q2K&헩 >*_7o\cjrL~hP*t`k&e՞ڍ1ZMz_4+<$օ!kq!;[(pH@' 0Nd ub;`[t"\DZ'1TQBErV5?\ˮTim*v$] #Jbd zuzI8r[P#P" +( Dx9+U*֪5ǶǼMm9Zul^]JVߢ+}@M5`L=wPѲ&o .f#-O(Y>d$36iCU`ix1J?Dyx6M2#ai/[ώ.9{jd@ܞr\Ej*&52%b,տZSWŕي]MW58S -ۯ(fC9>ǃ9wm`ef;jZ-{B^/5&[ {(o˨Ϻ3=U.\E/ ͼ*a @`"J4|ӝmOYV켈gwʑd nFE쌸/*tQ{IjwX Np*qwk4[ ,yBpvQuz+ `5x(^'N vvK yaPTڟ +l }_d_m-d)ܨ a))r!)+BS"emSޠz!hr7; P1粭{jv6>! 73|3 Ŧ@.q6N}[ &vH&('լO-x={7] O: <]ј]sPTȝ %F>tJn)(5ϧX} jc@7q9g8$Ys: @فwdr٧r/eX(@}(8Cgt8\7w/K8au|q<f/eй̎y$At+ssi7X}T\t8Vt*xvFЫWq gJgTV\v> y%²^d-*i |l2vDb'Dxpn5goӼ0̻qUS6i4 j]Ck͖ M_.`fp&A=tr?e|ep}Iuc)9[ʞoak(:1t1 ײI!Q~zɎ~\n-ڜ^n `;ͫ&mH̬b%YQc0'b47UVt9ζ0tW̎%ͫL(4v KY-/WfMIrU^́QI?8SdHq &nKt1&A_YT[2YvVV.7U:pN?gॣ+n3쌋FK>^ FBPNW䷱/9ϔ6i$z|72z&H=j[6fL'\3;"l~T4y}>OqS[yКl모1a4[}dA70I5qSi!ia= = c)%Ss l([xj0C{Mf1&X` DSi>f FJ,GqRUEtXdB”݃`[m+ P( f (NZrGLϞ#}8Tg}C[d.٦.m(ޓS.RǬŔMHܩ _{:n!N PCR oʎēYI \pT}"$FH?Ɲ uK}6;s Xڔk(Vg]x~8 Nx 5k(JHL, 󺾉`ь1,h{`_ۅnLFuYAab[m)c4|'8M-d n#g$(̚&Zuֽ+%K麟_Cog0<aLG73os7=ƈHw}zݓyK: h A?+#}C-[M}}}`*aSUOg,UM pIƳuu/nR1eN~9{SA#Jr@L r▬;{0x$ ׄ V۵WҞ2됫ar1 | iNX䖢뇍@xio*\?\geSǷՊbK}_:a A_aяφF$*X6cm*곯.@8&K :o>B#d dqR={b{׍xWKj_ 7oش, SZ>#gL 6U #~Ճe0Sح_نyk]|>59)nXw/ɓKڗ~ O,7\ -8Fhoru?Nfw%wj\Ou-inyDtgkaL4 +eZz=\4+}uy_`aO,ni g}[T)(UKT#$lΪxKKRsD.qK'` 0*SוM齟akC2i#g6(2~~d\uǘGSFS!^:hoN$g)0!ݨX+}`'-7.ϰnw̓?y%THa8T3J$Q+M<|fp`/#ۭx{} x̱_;l[~<7'Tfr x;Yd#()'R&Sl- {X]18,sOr:ar誧.d DȞE:'GZĘDžJNzHQ\ڮHSΘiH7H@y̯Uj; q\ gjˊz]䡢ɶd€[#/']3YISU|adƗA]!'d& ֥%ˋ|qơ:md*($J|Os WbW;s?S2 nGsRe% V&x8"&/vu( FryFָ/?M6kzFb/֯eq̨߀C,0iA *jDj=-6}Ļ_t~*, LkPTJW6/,Xv-pGB_i9TpIs6`sw}v[`[wYBi1db0U!:?`ՠ^MLD2U}Bed;4OŧDYCaUuAZ w[!ArלłP- @!JBRq"x3ieH,TCjH"o맪-o"P"b|Wԯ)F4֛ҝَ2mP|3&!aC;-(.|Hnn=X}߈' uc6AIWrh|;,eiIJ3d[[O 8~Zk !4K–Ci(X8@g`B|uivsJ::֭dWk~&I-oYVK 3 &`<]|c J2E pSuMDbD^{"H'~K1&;S/KIּ3]N'v-s[+Wū Q-jLTS>RkL3=1Ŝsiʤ{)һ|־x<Ȑl FG_kwtbm^]#j=f" aySM~p7بz~q{:EE{WxZH 9z_i""֓08>?H1$O*~āy5{C&zS+S~~"P 2JR&dQٔ|zg.3"+8PWW3֒Xz1RXi )o{Ƣzj); QNSzD{}b.ԧ|FQ{a@?7\f~^3\}=ي)7` -YnOh԰cy<[91qӘL=u~6zw$!+uω`+`A@xwDp˿;^Na,U n*|En| RcU`sߛB*-c':V+EJÜ;agf&1<R)kw{a#Rcdx-aj;ya8Q[.(`B9Ta͢|h>1#]k`{  ͸5FHoa&0%=i0]Up׎ǡS11;ְ`YvDz܅vNC앞2a拉,#Rts!DW=C8;, ʒ6-ȋX6:;CW j~,H`('и$0M`qj*<6fRG˵(;u/jʩ]+3©.UB;mzqA fpO2 &Ūp\2͝O|'(5KlyG`:w]]3Qfb" ^>7i}A!Uqk]Ux|@L [_WrxMw+#GGDp uBGa~%e1 P[I43 K-l>fiŹOEYFXӧY(. Vx99Bu;XRxhrCa;L-Oqy(=|p ks52sx'st](V"DWV^ 'mXQ7ڊo2ˌg?ؙ@1Wq5WE4pϯԈa''J{D>7V. QW4].T: t-P1؋?#mGEjIltNW~F*a;gkMI!A#kqN ݥ\Kψsbڄ?O`O2#=;.1  d؏)oH Α|=S3CE5- ,)f[󨶤"7JG<*Tr8=c2B}uފH[߳r>$*,:J$K4{T?ht1D9'ԋ't᫱|}gN hN09}΋B+1h[npO)eؚwϔ*CjdQt&k~vLW+̍My5\8#{of#x&>MwA$({J3C)7,4葩/b < ʮJL$i>\Jr x[rWZ:؊6 <6  ~OG=g!ť_m7F^h?*}G2)#}g4`Z5[BSy{C1@oQm+%V w:ȱB%1,ϵqծKPbLݶ`&-D(+t4$Q1|LJFD2"rkA" &T&kw _BuL<6+Cu(T4/$ mSCKhN~,`DeǫmQLGD3|:j$4@J_SsQ0 F0 8cYEc}D5­{tOVF2vGnUH\pCm %(ΞO, *I75 Pl4[NK %\_1sbkDe;"м[.+/ciѨtatr@œ:NJPXxrD_yc5LQZ3I58 xNr„]7uPo3N*b&6)-I}S,Xȼa+mh\:̷" 4(,seZ;P-9;$MA3cއ)ҽ֕4ry߫TJGⲆ\Hݬ{g@M Z_͌5ћk "2A"B\ʍ)쮱1/^\rt=5-|TPAVݏ`PEAoc`IJ_a|wԔQn4r[_'K-K6̷jțgJoG>>+dq8"1x/Ny QC꯲)nE$V&B9|eеpoŵ@lw&$,A8{6훙chՂ0,Uy4`eug0tc?^@} '%<Lˠ,yUydJRcéhZեcprҼUt/&AY C^ hduGՌܗ*;7T>B9Z"i,ȆaUR7g*w]|=߁8ih3鶇 =`uWp}y]̞MϮp(SϪ&Q+VGMyC/k |9Vr%V#eM"'i"[QiUA9k즻l3i@/eVȞLIr-cd92H@ގ LWG+趘lIB*%d=褯)=cA oc ;&5sw$x9a7|[iHC-_m}l 7gxU,u Xy͔3΅R!a);yM_xިpA3 -͔݉$YA[%%i2V5o<a]o+Xw9pu(L-LS@SR{^x N'DL_*v'ǽzai٢##bXl9;&t jGw{gώ@Ɂ~x~c \>z|<41n&̽X*b)%XT钢Y_f:YO@uN%ӧ1u|ehX-q'V+ab6H +$1e{FW9mON_{I[妮0v }su6}ʚ gtT WwӦ)JR-A \@I;K7Cf 1M f=Ӆtt:# v~r;H3` P{+*(U"u7~{oQSYݙ'IiFod~tdەEEp1.g1򫞺Kӑ&nwNj0$ֿٺLEPs~ƣVt4]K1POH&@ކikv 1wMbbMmʇ_aofVZ3CDeb' JI4ngF@XRN9$X  n|35řo_HVnR.Lg+W0f8`-;&^Ȝa9v vPLIpݖf„_I/P세xR7& CJx 6 y5Gr4G"Ha҉dQ4F}n~4Uћ}-$rI9%-ڡiWZ[kּ;aQPhsռzAmɀjGBxm6@&l`v!Aگb]}dh{̺.QX5jluoyplTi7GiˏOWk_? 1ۧ_cMK]LY`Mѯ=*j%y˅4,=k=Q󘓰Ԗ虚{Ye$YtQxB%%w+jGbLs]U!?(!sY^* `QILR <"bpNؾwU4"J*U?u" J6uŨ&k7k:I|H%E@0EOG4qHDcHrkXMBhZy[*Svqᥤ9@>\RQ΂JpEʿQ<`N#E٬jSr_`QbDZb5=NW+'U};A{ceM4?QJk1K—l`wK˚q֯zG, {zLn u ߥ(ܐZhY=LJQi6B%P7qn9S ^Nz!9 tVK Tċ}Z#-{ԛⵗ{`g#|P3+Yҗ`zsRk=!8E ^ %9LaM =ˤc_!~R\T{>9;3F=gWZ G,x<0=h@ "krG1B2s9џALy犪3_}ז6z#:8Ur^wJG1} m bumVYpSYիB**A4l5wM<3 ~Z#'0=W_+ҹ|]4dh4X;uH|3 Neq߫bx_`lnY0_|1w,d:_j-Q0`|5hDX_1תKjp)"܂e"g+pM ZKF@U7߭nYߝ먆( (`KO7Ph)qDۙ[{g<p{M$Ly%nh^@^s+5,&7cϋ5ĶP^>a!C 1AЭOÙ@(pI+$+FR(p1ne, b{p gW|;d 4qLSAܔt,ccr(bvvE*lJ{k+9rDf<uES'k%t}r ;T~uW\ _̌YnP;dj0w/–k.p7 ^(χ oYٰxuaJ=Ͷq>Y jͮc:IwX~ /8Zs~K7qH3\2W换Ml|?Eˊ47bң?d}/u7H1tot۩ ieYnO-Qz*@Lh`HWf1o;+Sw1WzȤo{ )đ{ C aR%IlޖpR 5YhZrhkzfq&RX#]X&}4ӌnnEըB~j~s[ߩ!ah5,͆\\?ۏsn4M"dIq_'YdBϝrftl싰$fƌT2IL wcuTeQPѺ-8HBRaaH. *KBn}9ء@UTBU 4ۻb@*;d3iZNSc~r[n5Ӎ(8S%w$&y")t 2]4WB/;0h>b g3e7Ջ}x|A0)k 3 oFNS_޳NrLT g 42p J8 qj _XR8$dX94KΣfWi!}Dp>i'^Υ0ǖPFKT.읃+=`l ;~p l,%idf |Ã#sR+ m. Pb,u?~9 B%6qImlQ9>t} S UJ!N V"^3D^%FüFuJ{"ǟ-CݷLs&W􌍩r>ڟ[i_{>WSeUp̈́k# PζQ cF P[#>xR$~lmܲ|k~]uG{_ږŷS:|CL҄P@zޥK]@.ASkX-E#F( 6IhHE9(ٙ|؊`tp$g|OّH`-M#⻙YK,{}Xl8)D*ؐ@ Z^;zXGcQf و6VvoX^ D}U P߫B,>LJc lG|]no"$~JQ ȑimSAAv^Vk2r^a J= øLAf~#S[Knclblf"7elG}bU\٢:}r#@Tid6FѻOg"9Gj[I<'+sRFXO=?MQ-,:})9 }4]OӖ)WP^PFdP =ϐ-'ޓWn`b|GJXaĮzM\d$2^/WNa֢yI(A|k&NJ /'9J9~;.m;j*m#8/'Dpȸb]+' ?K3`*fZZ0%gkJ W )c W({ hF3|t@|HĨ3k*m̠Kf8ri( a'EҾ ApE<$A^niW3o ;41WLHUOg\qoa2GRn^肜I6{L1&z_x>eyP@:;/D+ӖicY &%j䘤]wy70Lr=pl`| .d kMa ,)(lW<0/,L^2,ǹ?ZiP6oO.s$a?WLh> ')B%gk= ln=;t]쉩XA0)8|G! )bTU thpɸ`5 lʹ\x8ur(ye6ih(N^&v޺dtœ;9R[[z.b%EQSQy5zN[TKg{ѐNw7B($p]~; ΁P2{*Gʝz .uSc=87mEHUKȪ 3GTj "s7cwaOeدN?%o\wr\;j!jgF.;` p30ܝ%_Sϓ6aq-X4m;a@'H0q:YI9 [-,Ui,T|:@:a},r 2r4@r43y`)z/H%Cs;iq04oj4rwc&řTxAW]J[~gw~Y܏Q3@b|8P@K٭-$'DEJ,L}Ցyc0-dXl=_F?&f1`Rn8 c=SvfԳOa&@%B#w:|wTAY-u@?ĴmnY2Fx|lP/Y9\n0Atg c% x_I'>ynX,\k| Ii4cgZ']HM{w$xu{g rjwoi ghӎn! endstream endobj 282 0 obj << /Length1 2378 /Length2 15138 /Length3 0 /Length 16528 /Filter /FlateDecode >> stream xڍeTJ7H78twwww7C JJwtt7"ݍt>gwZ3{ߗLUId911$455X̬HTTn?$*m-ȑ_2.@370M ,rȻ8ll<vVV \f%f<D%rvq{_/udft{0h,lncV͉ӓb-Lu].@KfcFhغYy`h t4*N@ǿ`<6fG![ǿ,,@Nf޶+[{ @EZˍ`h[7073 @ZL `?Z:2Βp-%@@G7WIں-fAT,ݝXm݁rЬn.VVV^pc o'Nl<>:VTl$_W3 ߌEHllK[ 79u0h7O!U3/U9G+xo m) wCV.V Kk[17&iw{$h+0s x/J@K[w˕s35x9&ۺJz-Um,lZ r}jLl5ws οX@*W)G cy# ^NK_ `avU ?@.H[`MqX `X (xz;E[8,8N؊`X 60r1x}+?t? p .1 =;pr88qm,@p {{3I1 S|gwQ 8\+[XE0 op6 òWݿ \&?|xXԈ   68Z?l1'c: f,N9p)4; hi \ ? F@R?Q/ _ ' ( 'ߕ_\)?|Y;ث > t;.2u6@Z^Y|y_+Fɴ?ǭu)r2r")ْc6JАDR1<Ļ1B0d#OQ.h/Yr$e>Q KL`jpI:~.BT9\CEOn~[.(, YyF^ ta_>TɭœH{Mh7<׌#wˊЉ~B. kk9%}OؗN06i$@{ZHrBCД Ȉ ";g`fPH|a6sPa{OJZӀ+yfpߢH;aJi!\tџc(HृR(]hz ;|9y:`U:axN&9,6^ qZNjdJ$YUj%lCB#t4^)V]ۘeOf 4 g5ShMXǚj+ v35oGCECQG"Escc݈Kx"YVHx'8N/pmj.cׯ̉{~2EVqhj^վRE{3: [|b47?L@l9o:HݝɉrCFy.gI(5;y'5'@V"K_m~Z5\/4>bu@ >/5# %v<_bOY+.#QRɭǫ[BPKPw9>ql~gz7{joY0*b-F[{C,!eksXueT %QKĔnQhIx mOF㳐Qdӹ!7.(%e86|# $v>Z {ټlNWY("Ȣd*\Cѻ;a'\ʇa{;Li"fKNr0Fsκ4i}64-=zΐ<6p=)8c mMH>o3rre{М|qSr{{nD|oTL.I1 ;,ckOA4lT%&uj?3MJniFXAMj),xG VAa>̟s D`gM:ܚ9d]v>+HK:>d>+qhQ$K7.k0܉[҉f3-H2gWE33uOHE8&"1dI)eD^P5/ 0.0pvLPc]vyYDj"^0{1X|:uԂ8H*}qL6M1cES9N'*Z)AJgFlX^-=G:V'wG)Ыz-^9.rs^#"'5% %sC,N45EV736QFٚO6aL)?sc56A!X/ۄy-Ҟg g;+;ZFs7͔!}!QքssP=>јk3碞6u)x yx2Ϫ?N?f3 rYΏ\X7` ep쒚rZH5;GT:S9!)s܁"=ekdf{Wo\2o:掸鴘6僚YR[{0 UN5~ ~y 7fy1-u#iDF6 Q`>>]#N U42Ϥn, IJ%4t!UHG .' :M*e AlO`a:[k4{?U|$DVVa^vH,iX av.GnC,k>?b\e=Qi<-}6,;y.8:l%_$ )cn2/C^ʸsw#HJ*Hr VBWmɋTѡ\OQ:,1f s({,F]_ c#'D#KоZ$?]mS&0΅ оz+&;gf} iRl $PlmDEqKXu{2GNM( H@̀t߫; ̣]ۓ=cX@:ʆM|v㊉HxqDeNTJ߳pz&u| @=69X ?5-\%)O K4`>ONEk[^ #נv"#.Z8yBGic^OԒTQkҮRXfE!H?wRԷ#s)ToSU/+' D} ,۬ .ه>P^wٷ(*}cš! xM3{ѳK8/,iJ/Y-VD[Nm3ZsHr J |OYV{Uv6y}~Bcr9~RxMjw]:iy;RG3~"+s"Ab;zF%C4g&Cv˹R-:N$8`'ufŜ ׏9;@8ŵ|9/9MXf΋d`Kx*쨠K|ˤDDVnGQvmz>H'oWi*ʬPm lcGܷcS[E!N/@<;Wb]Ax=Ёk>߈ w| u/Tp<)žf-yO8Լ/j2ۅ|$x)x! \^TcHzs`v'n-:_O&H0y]&1)By(;\ٻgTl&~&kqqUR> ~C gU+CJxS` Onr5ZCO-8IrifsNEf\(Cfi& Ӓ!NTM;5G/'bS GY [,&aKy9٦bM!V9f͵h4-| :~zj\l|vn~$!$Q%ԯxO;m\gm0Kd'IDŽ3R8Gb]'D@ɸԤ5D5Y+ehC |'ׯuD?ݧ^96>CUfV~=Z9 p&wvY*!PDiI]d"M'gJb'%B2x4Yͮv_=M5?% 4JdF\FZ8xe"A9ŗ߯=aKHJ# Sz1$qq7+3}uqɞΧNs"N^x'*VNAL?aX.k\iYq{?} 2 c6V#fYv߸lXfm)[EYE:d{"A9IGs e-aByk!WkK5H=?q&vFTJ}5Ce<1h5~v0!MyY ?͔ϋ- T3 'Ζ#ti\͊1+hxi{5%qdPվ5bI_WvTW[4ˌf5JGڗ:jfQJý008iTTx\I3a7޵Nn*\Jv/:K@tu\|_Pt!y5`=+wT^֧1\BޡᦡzVZ<Q = *r. d{3cc7.3)I-6EZ `ꮘlEsKy3EZR햝1;n~(L>>ʱfMpQs՚S/&\+XW&hUx;SBT^aBCs |5'UEYb(ڬ]ZgN +Xmg$++"l..D!1/OoQ5x#89'|>k,^2!NFDy,\V~X<6^#V^~r:vN4GpkMgx~iX?wν`"tI7@m {׏:rj/>: _LR2,vv6w(S-w]qt A!YtM j[Te\H~[c'=m»0&# }Z*hڞԠ=ݠeE^iyO=C~bms!?L=Wt)rwOq;?k6c/,3Ne6@ppN侚ppg^o0:稜cLՄyk4 7_T2qaӦ'KLj׀lBu2׈`{)EL"xi~FYsApl?.U̜ Yh|P,o3Dܬ& Vvw d -. ;>e^ȤjQ"s".lĢySS v <;LKG{pc,-X|PY p5Kgcm=;j±̕b/Uk=h5 q6%WvpWvDq fw'eNCz3mLZ 0J/ ʵW߄&J(\R#NdQ;vZw@dd#A <Np\9PU@?ϓߣyu%a͉gf>ZtВ {޳>QƢl.MWBךYкq :\(4<@`G80rcX߷'A 8 x3Jt8~ E9J=GFި >ܽWߑJ*cT6p2 x,U7-:u2G b(64g/BC ?+6W4)F>Qzgt t+=Kp!H{dQRE&Z-}vͣ* D쫵ݐ3IPam Kw|ӪTMk^ߤ5u(nٍ(j]WW#Oe_>%nQr۶8fDJ{[OtZY\a|pͦ34;rGp$7~_h(e~Kߗpc]^l{*&srqXd?ڊ1']myeG0TׇVtH!58 yy+OUvx Я< ko0.㗉A?ӿ~'r5"pU4zԁh pqbaI+&4S[M_Ti;v{{{i^2!&ׅIa1! ܂Ґesx*lj-X;oZZsp3w?U\1f&9l߃'݉wn K˰#"RIkqӼذ=][? zSyyml*!ҺnTR=Q+A\g}9Hc\ yQH4FWYy }Xi  {:a4 5KvE`Y6S'JDnA39^VoF$K}NRJA6[J4%)3x\I{Tݎ?@~?rw+\;yh`{`8]uZ5la,U:^ uPh)vcCC_60t+0& ėt¡?>ͷqh"nT4,G#8S.>of1-X45S"]⿍dLeX@}oy4Tt"tYGZ IT4Os=Bxݛ7\9pW[ vhd ޷2aWS+L?]urhl-hi|eR.J̡A4ǭvBpwo~^]+~,gJ;Y–^NZs%[.m^[ wa[׷̜c83jczSpjŦ,x븅 "/Lq–zOIPNaABO7|f3g25Y_Z|f>Ih &Ķfh+l.)brt0#C|i}jYB)M ׈mv-vG~b^וp%{tkUx VB~{RkAsV_|8#{'(7/zU8V&Zh;is^_;X7ijķMK#])h|<^Rz.Z r;򴣆a!alhbH$1^Y5+D}L:4Oh5:'.7( ]6j#Q]P|>;C`Gѹ及|Y]d[_I<T|D; C WU];enP0&%͐b-)kz-M_av$0VE|-!!fj=1Thȱk(ը"~Sn&$[yc 7y{<5ֱce{jm-pOf"ugS ǣ(@Og|:XA<:{aԍـJS"avI~jcNu|) mD㬃}ά/\ۏw# cux?8ަ\R=s,MsV$i_ſ&fTS  mljO6db"HS1KK]>hRn Qq-SGP.Ta407D(ȇ߭X1nVw?<&&)rhҋcabP޲.*/DԻe*3d[ûL>Dh\:# ]|VA9?E #S++ >WBa,Jw$]{byʇ^ ӛu{p -dzS@XsSfJHe&\人+U3 D`/̌&Jβ}:<;R"{I)A*}ÖIBؿ~[!JtA[fMݧ9O}j%gV[UL]ȆҜQI=m IvpKuWD8 x˪a Qoi "8?@Ĺ:piGY"G_&q4$πɍwTlY" @uR  {$Rkv.:/IхjNqyPMc!U:htnժs e=1(UN,^f,ۆ? *1Nğsv0ƾ T%ڽFTJ~gt$:aL*O3PWrUoQinǢmunN698$6PdT^'~3T {3H(p$2F+$a(5!挀_kZ-lƸdpG 70] =co'LDBZ!8Dbm4z>[=q&xr&n gSSSP%aLoj!$]h)zoKEr}5+,|!Ldq1E=qb˅/D gCb/~:"‹a*c,K6  zѭIA.11.J=m5 B`w~yY69 G?G$$!jD#ȋD+b b;u:Y޵=>?쒴"aiqQ|n.'aHS" 2r>4Nﹶ XדűR IoEUr%o<ʎU8JԅA*T{)WieQE휷ߛ߬ NCccs]Oge~;"m})&2O]RTփ}~Q. v^!bH_$ R[!C,0D9X ޽^|;"Yr//amwթX&;NAFy([ -2'S틸i>1v6QdDː_j]fd@ƒyX23B+Zq@J5/qqi&tL|%&6LC̽<!4 [>n똳)};X$.*#aiO)vvѥf̝0Fec.y4z4qHcz v|y]ț!(Uuȋ.Y5}0p><Ijcn^I-Y*H.PX-bb*U3:Cw\Vd|Q6>t=i$щ7~b*;T`&v^ɇU Nmyh&{{EYy[ *ox\ڎK1G|Nqd>^U~90Ucsb YS/s"b!mHIQaa}q}B(#{`}v.8qm~ڟIU%hJato 휮5/=JzFwrHr/1IbSYx6mYqC_f0V b.gDnv 2y*MF)MT""陭^5͸qIe)U=R>^:z|;gR솬oVyY}W :# =ÞPQh }ˆP[EVOSBMYD;j *7DeoK$dR6Ǟf9Bڭ+7E>ıPًs󓧐D־z Jl%ꏯeW};o) !Cdls:s@j˳Zf0DiYw$xw1D!{ߟKH73ͮ zK MSW<k\'\#bvc=GbT4sslgI7l5nHObi>/x~e>ɑ;.|ƃv šՕ}b}lL9-?ӡ,!z;7dA˄R3 ( wtQNڈo斒نb~~Iwq7_ItL,yW>+/Lk{MyQG}Țwz5buGGe =Rɻ縰Pw!N܏gmq|/B"Ȏ|Й ϋ/2Ai҉;$ɕ 85<82Ga%7k-ZO)WJٕr0畈)I,R& t"S; A"s̑fWI#F~?zDfU``6`tp Ȏ2fƎacJ0":V >&SPBj~L$xv g?\t{*gtO}7*Lߙe8[v_b"5oJX Q5-Q .%pt"UUnjtE N*v1$х(p>K#.7m r9ӔЅYMzHі vLťt5F]"~s^ŤN3~ڝaD7AhE2ЇGSj[Th'_ -3=䪓H4YSYb6dٲbV"'DǮ= stNTm,tT;L_7׮NO,0P 9s{Br#kד'uDZ}594Zn€lnɇsߠMb!Gme \jݷW"Q{;ҏ~$9LQ yl8zSտ'K쭌\c[\[qd =Jtn/01#n-R<ּsbq?JsB|8ilWmt.Zn?z1;1fXx%{ʧ>pkdIqa[v*f$xcOeOsr&>1'$IPS#_BiVEHnk3RU&J {;Dg,#NN6[apdkۡz.t{)xA#bB<^2 q¡rDތ$ړg|l\ݿ'dL̍`dOL4M1W)z`Aim*͙[~#ŪmtatiL *$)*|⛸?ƒ >lf"ZPJ\Ho;8`̃UOQ 6n P R~s}AblC5eΆ_op=PJ] (9֝ҪӆcvX ɂ+XDiŸA'|_>Ћ /`1aU!)7\gam{\wEsy^6޾|q/lnh{VE6S_;K?pȴWGu.&ެ} .NٚkD#f3lHp.G@ݯ[iy' U1ʠ$2K]A(\_i W4='km߲/:mmYKr V"%o]TڬYGS +X~](fJ}%u fBxw%PEF!*@`~(=1a01%3> w \> }V5} VeQc-) r^]TLX!. ]Uih3`5e'Q·pfrԋVl#3#J.hŽuUK5R#DϣΆV}9Z鹷okD#8ɥ&Bn@ A7ytvRtmBH~QeB5}2&\Ψy:q[C!&xBr>S iخ28nxEa2߬ kPα!/Od7]oxvwy v5]?`xƷ(|mąƉΩ_'"r.'9!8SZ`HtE򋲋Sc|zь {ͷ1~qE.q>t飇YoRh\΅Xp4xٯe1¾TDSOM^1V0K1F? d//I}T<=OoX- endstream endobj 284 0 obj << /Length1 1370 /Length2 6028 /Length3 0 /Length 6971 /Filter /FlateDecode >> stream xڍvTݶ-HoҤɇޥ*E BIo"MwW)"E*JGs㽑1Z{V]^y(!L@ %E-S 88 hg_r#AL @D%$`@  p(#0w"E nl-7 !!ȻPp[Ђ`.m!΀C*qqCq/8ЇP0(k`@3`w ^ p[၀Pfs@Mq!5@߳]oBpd-#;3 QC{AE8#1OC9P nοFUs"@O b݇:!^ ;8jk+ЀXBTTX0o[_ }\a`~HW3,n|C_Z*fwLx%aaq@LBg]o!쐀ğf1=?_opĈpG`-M[SoUnHwwC\> z1Bb\o1g`PG- pw7 G:Q/90];ףW c/['#!=Wa(A >D`ED?0BH4&!QD PT@0-̶Zv3 %FJ;ֆV3zn __ZiN2As9h?UwSV|ش?#ϗoŴ9h,5}oϾunA bk_mqO_Fu mUne& ixk+AS ( C?NZ|2zӅ4zD+QSf{OOSAX$56}#Eŋ~!z{mbW x7K?ǖD" C<䝜a\bքߓܔ(8EsQ  Q0*reRӔ q|ey7$5=9si0pTCuҁ^qJi+pATy:I7nϤӧ֛-f':"S2 j}LC$fz5lڥC`Ǩ˩O CcZ2ȣuY qxk~6>` lWjo\w$N ߤ?諑lJZD4՚깯-6ua0cVWkc@fl\7Wᜤ!F=y2;fyS_99DLifLPb$ک@!rא!Tr.A%f%g#W"POU/u1V@aǬ@ZwwC7{< o_HG|ZD,OuH钃dfcMQ/ex=wnEmh{r϶i}v}LfJ__8?V]l4#/D;ٴL'kyӵT&N#7-0836 Ookǒ`T3yr3vcѺϯڙĵli+ll r@ev!",ҪښɅ QֽRl%,C&註!`ulUӔϓkNa`vۡ8*&ڦ>)TUVPs*kiYU4(_f, ~kY"D[NDn$ryDo6/l`g2n#7Q#+e>;u+~-[ wXy(6Fv>mdq5۩^BCddоfޠ}v_5QaOJ6[zc/Ԛ4ԦQH!(-YlW]hA\t3ۯ2{zdG"f?H>g 0V<~rVc,T}^Y?Q/"~-lǻSCh[`Z~Lܮ1_,8*կJ"k&@4‘2ycW۹cM]3WB@&*nرΨ-)(8z|}~(%k)F/1z9C-VޱTnVڏY/]7G,qr6$*7ʛ~B~_itmPsrNcʲ _@b^%csAќ)4h8rD\Y.V{{E?DM|diWn9t$kZ\#0(Ц"JbIdqs.S积J9C;"պ:g&>h0 6%>Q$≔hMJlɄ$Ј ku7WOu k kt;C!uXwǠvTyJ<]z>^c?i(X}ؔ4vW~ rRᐕjZ1 i:֓%yNrr2As=MM0>ݧ/\m.aOmYmhWD粴6`{ Cy~:k޺2,~Cs1p #Ne=b/ΥNdA`=1 ?x( b[5N3FO U{T.2"*D-7<- .zŸ*bڀIrn~!fv5֬fcm ('=nr^3}A CBd%素Y6J8 ;~rSJ`U$uOxǯBo=2QD;ٻ g~{F>pZb 1R6j e j fQEp{ O !;3oTLͺܝ,вS $U Q'(w1x"A#ɧcrgqtYL9Mֳ@O;tXqHe{sEqm)S}M޹<M9,t9 YXo#B9?kP^{f>O4ȭܧϗ# b&br%>B$ 5]P4g샔vf;H:ZwML{3#龪I}lFC8W7xP0F `=}峒ELXG!LNS䢭)# /UwEggHzƆHfHm=11̄17V^2lo@c36 k)E([ Ĵj'o|!1V,+EgBG$Zx8j;%dOHnHM'yxlޥbó{@<,[+whsKO@ܥ2ḵŔSV*O!6:Qۡw%8-7e(Kmز8=VYOvoʥ֭4w3v8h"lI깱'u ֽG 5B.)Biۭ)B1Eog±*^=Hn9NKJ46efN M48–M~#(Gp2i!!Qj_cOqCk|1&aS]VihYp Qd#^3ޑ]Q*կ뗚V(cH ]C+Dt]-;z'[/n_h_Elb,x$J4hp RkC{飽-?ȿ83lX<\ǢSbKIxTqA% bFO戍BU`߸N%Am0ivٔ𽃽MLT3"Ltn 6XrO7:d7O0hFkCL7yߋF.t{q& Y(C ;"~e7k8-p2gEj]せ\/C9ts33>sVm;E}+%Nb\ ۑ Pg'אֹ5 vG.*w]uJ/7&UW&SZ3jwݷ ͏| O+LŽנYGW*ERdw Zg^OyA椻\*GoBAyѵ\q6ucS9rgab!nۀ˷c<>.40wUU3ԯg–Hf? 0?3|;E XTϑ-@ n u\ e~)"F.7ߴg5 K$goꈍթzh%P:xn<֭K9Y%F񡽄MP`V*k(L|5m3gE+'QG+9g |fUa8-/|.ì @ad;i,bU* 3,=.ɢ?9&kn-h1;,!uvbY;O5'z1ߺI׫rL!5]*/UcX$嵖Oc;,EޟE ﹷ|dG(!E5 ZX<|Tgsߋ̅`}E3 ;L ] Ѿ~|mjI-=CtG)8+MO^"=o>{x(31XvBhv)Jzusހf+{c27|Z]?T13^{# 7*P ^_kK S,%c뮃LPC8Ku")CXeQc>OeÐJ$7ADfM}WB tQPZr؜4Qۏβi̙ )]C?JبD+XJXjWZVeKkoB. M"6+)vvl^k_1fēa,^P40o('T 8i;`N|E2 /3T2v([]i'|M\x]+= ]'@$FvwR\6O4bzPN7_0WKun4IN۝/~3* euǔqޏ2PBjYrvbE2T[,won+Rظ%Yi[{:?MFusxK{0FHgu|XAsIt|Na6!Eg߲ O ':t.o(|ݨTU r"g7z 0czꝅCP+kl~62-9p칱=zr+Ԋ;]>.otd8Yyf*Pݤ ~+9S8IUCRy!3Pg3P~[3?ݩJxS4Uサ -,[/Sz{l$uYux,WAۇ`kr'kWܧn16sůͦ5{ ,*cJqkp+' $ko9NZ}b^Us &@jpJfń=M]9_j#-(5 SaiCwѷuky>)p?anoj'*pu}VY;IlbiVJug[ g?zd%unklILMn<޸/1K}fEHY~o5Ŵq{QUdRxy%h<dIt}j9%wۚgsqUY?^ʨX0ejԼERd S㠸 7E^V Bq)_{By&;,{@ -.nG^e h:JK M>t<`U, 춵(lo"B3"Xini-SQ.^rB߽_uFeuܧTCgCs endstream endobj 286 0 obj << /Length1 1408 /Length2 6121 /Length3 0 /Length 7088 /Filter /FlateDecode >> stream xڍvP-ҫ4!$H」HI Ez^E^^#(MRr&3﬽>{oa`,EPH0([J@ 1 $JmǺdf04B/20E!Zn,)  ̿(,@t-!VFNX6z922RBJAt!Xg `rð('źˊx{{! vRxñ#AA?ɸ&paw!1 O$6ka?d?!߳;BCp>X! EaP|~w) q@ݱ kD_ep*!՟  sȟuEp$POwS$򗂃9 88*oq!`pGhOXsEp,G:9Y. Xp@>~thY ߱wQ>aq4N2)iI@?@'UiwJj?P8|Ѹ H+wM࿪4 yaӬ']xV{";|tiY,5 j:8QH je@d;ù"P_6@h/&Q ?G(緐"@$ Kf 8dWWe_B8툸3cO4[&y@6;r{RG0r[dewg&Y];h4/ƦXzS|wW8A&uTZgo lvքּIgR]bk0V2#Ӷmqk;`iCw mii?w|%g브47Uat~Z9 YZ<G/R9a< I0+뭸 eP q%psǥRE>a1_h"}䛹P+"o{tWIǘ,jU\{?*S2Ǻi.i!g^xM'vֺؑwަ9"UL>W[X2v_?×z@bT ̇RD7,n秜Čh^NIgݶPxbg]^S|a!K1\"4oXsYf4^JUpQ9ߛ%_24>njb+R\25O=)_䏒/Hj"YS G$ˎ|z\C5;޵>&!L82) eێin:9/Bܲ/Pl#ͦiFƭgcuU*gi_crG#ZdNӹ+r +"{Fnse-3[8'h^䣐8飿Yk.} 1zve(D3e.z mH6>)37FgtZ*$|^ @;z ٌAVv1ɊWz]w3z"nmc &Yn|Apj(v@(f%u5c ?5d>h ΌRj-ɗ 9ҫ JK!;,vz]2-mo8,y}GJݷ<*>;#M"mh8|Rq-tvYśTM6Dسߎ +$uF{ي?A`פʗ73O>Taǘ>DRܬۀ/ ,h]9F͈(oeinZc~2P<,İej8P;tm @[ȵ(n.Gwpu{(Iݪf|S 0?4'(!FkIQ7f<2#q!DT?=~vSցј _I{'LoG:>2IۼsO&$Q-A[0ݟNQ2qRReAPBT,J"׌@q2>X˛͓s֙>wY;D S ٛWrFr=%*즘K 'yP&G&D=Qxe ;4$ԯ1FP7܏9wK>Do@^-þѓJ[ WBXVŋ`jɊӎq)g)nINKO\Dx?s"fWVr#Cuޖ[wQ>GY6,T29%ez x0\)FukjO"Zcd9dOl~΅}@eD[OÀ\%COӉP :`YZ#'5J~Zh@XE) [ E\7H%4ݍlˉ&)SBaW[|S ]G2!R5;WF+1p3 /vұƋ, βȃ[Ϧ[@GWY4tWNTVL{:u^ݰk`kiy]GkM5rs6aˡg4LtV4,/Qs{S dO0j9job|鈼bG}6g4AIK-FI-'gb "P/*ZxTlJu4~0* VeU!krGEeL;ɦ)c!B>p,' 2ai{BFhZOzLXexOؒ{Rh\]S$$9ת ě3ŏRx ݜWr/ؼ Zl쭛8;yll}o,n>Fc\G [4WT_ԟMb 0'fPy V1Y}A|e6˩d&ZЍC̐ueF ɿGyO)y [ñ^ gb:s>ӹB)59~I~ec+R;—g}O+Z*pyσڍ7K|yPlQtݢW/&ww[0?FmrעSțNɤRk3JOq̊l:Ϲi>l>`C7i}u"SVYk}Fj ''NV'DMsHGF ו}_-t ;Dk؛l hΚ1(l |p_G 7yN@4EQ sW!ZiCώTѴB mU\tHd ~{Gdk;lj5JvD/F.R_#D Ȭ`I5_2{L3W.=W]0S#7Ə0L;Nn-tg@ WbFa+knjpTHhREuK[ohVązy +U]P͏g[<QS}w3 >zRHBl488nNKI";R;]qݗ0$TUzCg:IR2+ɜP[ڭwe2?66\pLOx7B#\S"&KB&/ a 61 RZVjɭ))~wV3b|EX n .dr+mUn (MSF"krzia.b-|[)sKף6+rXBh˲h `dV+Cܘ3Bt'D"rG/CsxNk62aB|*'_ Oi_~aQ{tXbwv zA닑Ityzí e.xJe-:=e]ylm' by߳ 1"ȇj q-z[F";u37v>x4+rv(=3e?.{^yteM]gd׉w?~- <6~nܱƼ[Z{׶26_kZREݎkT*kdں^^t˓DgʎԆ[G|uQG=m'}gXWsyÈq]` .$CUN0 82(Qrڜ%l/'MnZ7V~cdYmfp.ތH 7NJk(; wp^ $w QO2pƻcn4Jѕ̼t~ώq}4sx{q_x^LB_&eFN'1/_xPX$@]cVNܸ“0}Jϯ]#믆i= "7׃ƷI9zxnFq[,va[\}>cLe 2.mNdaDtMăA- gڍ]E~cUgc"mz9K5?~139<󕛪ASw_l(ͷ> stream xڍuT6 etHwt# :#6Fww4"R"" <=;g'?;!aUE|B@%C3I0vMH _ JH(AhLts ĥ$‚R'"@e; j"P] ⅄٣1s$xHPg̎`A^j%kFH xxxQ7/@QP;E Ì4[ b' Ga*(h u$kIu7@!~W#w1 F8^0j=Ѽ@+B`A  >!= sAQ0_~ܲ pv()ÐP0ڽL!H@\0W7_)fEEPW l/𫽑 wPapbH@`PrH7{B``4j鎁֘#a@ A>y ;y{fa"'" I%$~nu j5ԟb% wj@Dn)(&| KwMῺDRusr? g_ Ѻ1A`lTS@!07jA#(0bP0O(D՜`pnT W /#wϿU_>H@#'a̼}0@=+(G1%@ G?- 5V gXoXHP(`BXBx ߠ PwCnNh?I@$3_q!//( N!2-' |߇|mJ4CsL&TwU|=7S>6u2iّҳ×a AۍHE-o?տCׂEDjJej\j ,<"cNe@)m`ǘ1}E0$@Zi\b[bN,3>ϿIdH꣣~وP;R*IId{α隵jzem?=PmTeƕght j N:\j.h)o_5a|*קDJHK/iɳU)P*]_9>+[ݳ2<#QxU9CGtZlC -/Cs e&ڲ.Ό`ص.>˷~9&x\]?18aeMNPQQyGRZ+CEc^7BR |`1KJǯzh1/Ѯg{H揄ms$M'^Œ=v]ɛ,~]7~U`ש@Q]訠Wp -4O~]ck7< />QGNVrKBp[J5_33ԅ/`w^4ƚ&=]NV٠(pہʅkbKf]cg$q$qm:GHdY;3[OGX}X9~?1&E]k;yFwV; 1U}0܄ԟ+kT#b%l_qxYk;u.t&/LK~$1.~O(J?I7|1${,3s@m[ݏ uN<쩂,8=̰%DL~'tQRw-dwAn&ݕԹl' m< ^yAC"=5(Ydomy{W:1jm#v WCY^?+ݷK՛Ym6Q[AFc5h.µuvzv\ӯ.EsUPR|1!7^,(X cyA1(e")~8s4EwQlLkGw[p\ۆNrsE _Kof $`w$"_F,rűn1nOIbikfWs&P žD5wh3u]tPk-=F_lЦ$:(x\@Ux#6K΢tfj0UZz8:(/69|> Z\^ O38 byÑP[kQ7 _~%rKztѹ`X ޙʜ=e9Y@Kz9iX*Co<:ZOr/4P $=FB;Cvm)N/_-B=W@۱wX ؄,~zQ2MrYʻ7 ,s,48LD~ x3FxwBR#pr;0FkѺUP 饏x҈LHY9J8*vȵ免oC LsڮmNi,*Yؼ?/4pZ}9+6k%ZM֛Vw^ŏ`2Sz@c2 B $t%*X.|il<1R}J)QL1fz;Jbۑ+ 7)b%=fxONU6Qi\F ,x _>,K#4JfZUMCMU SYuqʟzI/ԼM{hQ4E}l[:՘r|2qԒ)AUgs8 )Э*k4i[=2c +Dp` QcJǴKw3;d6:8K- `ߺַ|;G8Dj0Ov×$|Q32oIE`ׄ6n'`_|sGr=n[\jj1vT/_{%,%})86Sϭ^ O ^HMakEP9Ə)[ua#_y^;YYJXUa&;7s-jiOyucB֧N>)%z#PC^|Σ(b2O=-R.wWD|iR$:JojuUa MfSOydܤA_)IQ]{eqQLan獇 .dv'\<ݣy΢C/,Q!o%Qe(ûS7(j&=3뮃[ȧs/ջ[dttrC(҅86 N =2tc]iAu姄ߊ>zxF瘹ޏU{WQLW?O1: \:C0|i&`g ?BH20m=B*mlIRaR঵+ܣ"$58m-%jI#bKL㝔f|fy^? Jyj^0.m#Sa< w 5)ynuryq,_VYtSҥ_cĻs1!|̯fƸorM)ufKd d:/g60wt%StqwZ;엱{ﳇY#-,[Uz<|y #۪C(4S°!mR' $אҪ3i:/M=]M < 4h7_{tR{ q[+;޳Im bq!\а Vt ·yAPGOvzHD]ˑ-q n8aՍzdG),~- UGR Q,`?访͛&?d[͞hw{*6@E&tĉ! XFw*^3?Q823dV, )p.7XS Bh@ y4䊬{E]qt ۘt)ݙş'*w0uE/+˻aE{aG2q:B~C>V|ȣVOM}^C=řC)y2E:;gqcD%p4ew}:n]4d (eMK*같'͟P&eLXҏ ggt,}anZl }ۊayTKM|hMo+HU*w!Bey~o =}ٝk;כz ?kxίMXXuL=+f-Ik G <"Kl|a] 4ePխדi0 n!=OYFl.Hɗ>*=xv.tS&wq簕$d/a$3P1umAKzRDBY˰ onHEx5a秜]^1A =Ms85_D!=EB%͛)9[#޻/n}f"MG=83wO¡)nbmF{N*ɚEi9~x*iiWd;w O[pɨ,G +U[ ,t E=Lc:˪'vJuMsG7z1Qp6NY 늱N(KE<'8zv4V1RW/8'r ++k,Qba 2bksB{8] q1U=dx$6"pv =Egak<ͬoƊ)u.*(63tbf b-Rʹ1*=/=Sn$[mh]`F*gj\|q]I{-O7 ~KZq×1u|ᵳV_D'R2o][}) WQ 3qGtyeIUd6FBA,!-YdPG'Id):o{bGMF\H(¦~j@.6M8DLJA\ IۭbwnDb~%&tpZ8Y =LJdnt(td'ᯋu(6*hxC55Eq㗜 o|=5Em]bC1{t/PCf+oT=Z[{/ L4ӝV Kڬ:|><7(e dX;6)JWYs%QފWPx{-]q9\, 3W,5feFTw" '[#>қrl$18}KX5mot?ń-VZ[/ uqcp~|)(eS(fm;!17C1/,wt ϽjLKqP׌#S;4.NTlb5o:ڇ H) Spfks"CQKs(DՒ<,ar#6{b!i˛t|Vo]}!7ßBћ"Ku2mdP endstream endobj 290 0 obj << /Length1 1636 /Length2 7988 /Length3 0 /Length 9078 /Filter /FlateDecode >> stream xڍtTj.% H4 %()H3C 3C !!%ҥ)?9wZYkfg?{;2sAm@JPW o"ce5#]@xF 8 A"QiB!5wOXOD+7 (=vMnBCap#u춏|bb" 8h Wԍ@> Bz+# "pGO0B ;Z@WПʸX`\jAA(w@]Wh@?d?N_qoC~;mm0  q؃]@m% n"]P?vڠ3du@TaH7D_aP]VC]]A$W~ `8vo?u@=!;_Eعx !`7w_Bxńx 7֑Wxo跑QE / 4"6 0(d>0Ei,PB\/ǟ&'rĄD||* -MgZG҂T #rs^!^[+Ko3oa]"DD-&,&VU$y` dF:ת! (mAy _Ψo>Wb gB Eɉ_HˇZH;o%x!P$`+^ 7wP߸ á7+ Gp-d<A1?\ ( xQGpA5٢@W0/*&( G C_-uQT>~@ /-gDS]HE,'RGDItN򤛜]%pΗҰ~4_zw OQA)p ^w;c"+$ tDfXflIƟCEz6 o:b;W@1c 2F6c#ʄe 9dbNK 7Ks7P5Ǟ˵ES]zŦ}@Qzope}5wT ԚhK㙨\cZxNAK>_;C{Kd0?T&gMeYGhyNWy8h58p%]#'gAvE{ɳExA]b{nq>qH7)tN_^{k8Rjsvur>qc CSMS$Q=$ 3c2eguo?}pMK(+S73ڑ` RG҈xL“s|@.}{e Ý{ﴟ5/I N׀Յz-itV&l<,<~ JF`V:D\_){wѢ=Z-hk|Os3KKGqIS{; y.-{ f'SoDM,2OǜPbJT&Wpfm~X~젔I߃f_ƨI]$kN}2 25,s$Eiѫ[*OXbWdZf1riP a~~bPj<̚ Z2ؙ\LZ᰼-6F+}${2jKcaUvlpo4e,Y Z}}䖩Msm9]+A9꠨,fp5VP#)FgbπD Lݒ/[5*q_֖ Trћ0b%RSP[˵.:6pj2cg$b|.Kv,#ZȢ? TRlJV B^"VI P,$5G{]g)VLOLMC,h/'r8MY)wm!/Z,# k3knQE/06?hq)4 /2p^Z\y}ҿhW[% 9{M8&hxbER,K`%CyQs}ǔ -H:Vrrb9qPc|uEojV'NVO.ݻ%KW+"grd;e*~W]-rҚ^[6ux֝j;觕\'=#Prg$x$*[h@tzqtD2y\HpX/2h*tujg8r9iXQnbvRΠ9b7=Fq+5 +t,'S \? t?3Xo$}6IZi $X]EBf'u~湺y Ai4VATCdÍ^@'NA5\!4Ѱrx5hv{ixi *G¸/>`jڭiar uovi'{GR.KV4fη+n/V6iXD.}쳊T:I eN֧_E$eX772? 9N sR[7,[)01#G c&랹z\zٓrGPAG5:|0b;PT)-t2mVӻDž_.۟$SoOl-Ƨ^'ý'usФG2Xxd{ QPRQq~-5+8M_ bsyecyE&yuH>>:rHft{㚥s7݅ę&-1>˥{[oz}sGDa bǼ(n qs*;fdi_)jM3-l֏h*t~ I`'_~QlqӸܥv y90)4 ՘[hxO] Yo:9, մ'snYZ.]}v{0e~sl21*zC,&XQ`j1ߩXqy] 諊!S^A/*eb'xt[I[6o#ѓ IIęWf]v/33Ŷ|~Lo// ]X.1J{aȕBQy5 d*S8p".Lb|=8h9vl_\^ʜUʐ\#A|2ܝKZGp]} )l8U#ؚϦ}iwhޠ?,?ݵw7.ipٜ^_X`JZ{K]o9*Sd_zN4Vكm}%mզ4ki\rcIc4HJRÖPPa i&E–*WKrGdi`Mgª ǯ)ǒOi3 YH0̏Y"v~uhf\RQ$zsp9ct w{},f$8t <Q-,:MU;N>|-!P=PٸuAlt?-;NxvԐnxrJ~fz̴6jqɡQiN["Df5O|zߧܽ#QOK1u[}&A`nDQd ]y|Ju|O_jS*\Qs0ѠX3?L'cPic[F/q0=/Q~fS%+bM#^ykv qCUݛ`g軧ϊCB5h(l| )ؼ4ArK| 3tIp{^GqW^0t\x"ץ[ ]KICa%ؗ9"Q6D3hM9lO?})jM6a~Ft:#_nxZdYAٗ ݚ#_S38Aq 7a,)N\zN=$O6rSy.m %풷]e'ъBdm:b#>n:gZmi|!)oGHٳFI{!cɠ.^6,,q$w"&gXV*P\֑piv^OSؽ*7ne" \&׼s$!{LvBF1k`gy{?ދv}y8fW5DbNSY\OȾ˦)X\[UهfɨW` CYEZi+1F;ԡcR@F^[o$4#286tccXi;PJ0r'AEǻa s)tS#x={ݙNe9[d:՞yj8Iލѥo#&p{SEep0$С6ʻ)vt'e\y{'`F\=kbQPB|^C ElY C̘A٤2_kg/m+\ijs_<]_xG(c+tviL%9bk+c9AW,9O d/_PЬbcE>WN |}d 0֕bXDOBSYaI=:VuT~WƝ&,n_/$|x@(y׺1iB7!ҧ^ħ]-#l^`M\=G"rr9,3b6!Ӑ*&8e/ kx>ϙ(:O gea5Ām315@:ɓ[(zGʗE!!0Op{CO _ťT|hCW!u}BYh7d9\Y mG5>s,] tRQp㨪9c:㬞X%c2NӰՒ1%aoY8x% %"'JX .(xT>*3e{xY;|J?_iq\=CzDF"ĕVh/žR hH|BP0)]M$֧wݖ\`Y[8x1Ρ` K`BćyOK_|>zY[FGDo̳=q骎K|ѬĉT9^=wh4sy,Ă2mrDi=C( 0iI1zmJLOԹ&HuRC_D<8ZG̬иP|z|^"#{^%;g;fs% {r>j_9Jž24Gj!NCB@ Qbʞ8yKu;7P溍n#3a]Ah-Bx'xwРUcRwm!t/SSp!m7{@oH9!nAkv>\ʅgxf~1$%"ُ|mq)u"aeXzێqL .Tu=^Ў2cÇ4c%秩B{6ެꨕW~(6 }z_" ࠥG9:( | ъv ~H\̉"{ik$6苊oR5Bg܃1jK4@hnc٢47S?ǂ4?h| ?w]k6-*^bz ɣOpIa$'Ky_H2*Bxg%௾To_|KϤ̃KwM$P z,͙{vL[S΃ T<+,b!^ԙWIU)$?p^}zl3ն6̀ɁBt&Z)C܇7Xsueww XՇsfKnG{g 뒍_dr0 `jSs㸌SP5g&c7;u^ݜgp4-5\XͲ%eCx;Musbq*\j9wHor?uPʺ'.`Dϓ31\-$Jf09XE&o#&^r9{z?i7vx;YEX&62=GktOwė,kbKHҰúoe6*dԞ"U8?_kM*K_ZMA,vDF9p𭤨= e b~OBnM[^/]{S+z!lH sW2۹T2buo<& ]`B>'b;qdZ&^ }ΘhT>'F0u[o 8>ad!at.kv|gB8o>(J3o5ҥ endstream endobj 292 0 obj << /Length1 1919 /Length2 13644 /Length3 0 /Length 14827 /Filter /FlateDecode >> stream xڍPҨ4h 3!@ wwk-8-|_uoQӶ{uLYI$ qdbcf)XYٙYYHTT`G+b$*Mb/1{LNbuظظXY@VV1č&f,D%u;?Zc://7k=`h~= 1+- 3Lv4@ AUƌDP7;%W:ك+1dx=&#Pe,#ؘo?mt626Xٸm`+@IRՑ`dc򇡑le̍"*.lD?¼vYD bm qt@#?q=n,ݬ o0ۘQ- $#ɫ Wcs?«قT!~b 0}-6Ap0r@^V7!LƎ 3 ?_ ӿ]cOereQVPbDE!&vN~0F`W+6OAXשhr=VNV_lϣ߄6;!I'+?մ?j#kC 5ߦZVdvZGE1{f&6fV`I+Dhl%cլ6 eՋ^px?Us%l!& `doozӯ `{]H럓 `a8^kBV.N "qX!^"Xd!?E?_Gzix_|^33q!V  k4ɿ e/|_ 4w5Uv_Z5_k1 k~@ _3/|M_ӿ5 k. \?x?|d81 ~[%Bkȁ~-K/&pwɞ 9qq,zia_LYgyspGCǐ IuJx׏})ꦊoiQǣ"@dUV̶P:\'Kߥ97JrW){\rn XZ~FՄ(3e'//dTMPði.] ^QXIp-RKoWPc>k.`z_wa|":?\"& /AVtq`j,%;F8pRxn(%j;cL}\aicQB ı,~${>TܔVLg?!53Q^m,#ccj o -aLK!Sri[4v1B5}?xej,Jؓ-zptܷ.ga\^يǙVPlųi^wC"rh R&+fW\we2yF{.. JFÞN;L+NQ~.2&k%TGCֆՉ#6_Ow5pzkysXJr3˾WzlLaKk^您b`N/8-Y;4_#1=wїR4!lL7m U.8$Q.;JB۷\.쐨TLiO^ԵggKumF1GGz,?hm[=ޑ O]5my8'HmYM{ذFk:q%$? -.MZ׮&d{s"RbXrE)|pyA&^N;_27~}75% sQK &QTG]ɭhI 㷛[o0Aoko!V]9 Pxwi6B~/HP|nd#V;<2§Ӄ9VE0i܆>sӽs3,%Sp$艨m=q+SUU-'7m or13e'9h4l ףyUM;ғ$'4D{nl]N?%URJ|;^)):t OK;l$s/ a?Q;E.s:Q}l?lcRAOtttNGfeNx [6QOIzjBw {)lT&A?N=WӦw?}%m I 5)vYN=xOulG^` %uZm =톳MwЀ{o!+[#(o{3%,+'cVxP@ `Zl'gY7k9e>W6,rQ4a&,z]z.2R;T.2ܽB)ܩMK~4*VZ<7i> مs0&l`rBxIN;!k V輣ZIZhKAy7wtnEZcLa鷏 @V *+擷hu%ɔ{&I [K٤_(ŶҠKSm$< &7Oi|]uuf)<}/jO#贗(7[9x2X}>3x]_MƎ04`?V/bTOU"'ܙ' >@ȤHsz[NX6bŁHgcMrǶekŘL.9;a?L醝p66+i4@{OSg|TI?eB# bi8L m 0ZiTɀ W3WBӒc(LUYUkM)fZxs‰6gO$ğ vZ'N62?^MUt`J;ct\,#fZE3&WK1%L:Q1(_d[j@ҵn^?1R0^J@?L޵\VhёSG*/(*U4[vs[%˥8ͧΒ7lx[Iv%()Zpދi̛J~Ѹ 8k^ W @aJC|Rֺ3؀Uɋk~+*[^%ϦPRYFؿ^E:p(&>I^5NU`7"Px OZbX>&8nΞT#)cwo`Pnkƨ5"_!0jrxAWi;fw_M4Sm_Qm^GQ[3UgYQ] {D퐠A _79 jDne䧑/M +I,ް WjmyB%J%s2{j2ߢb$ZuL*􁣵=X_&/Sg/TfYfۡ025os(CSӲ'n%!x+eȘvdϝ9-wzFNpo޶FzRohni##t&Kuˆ&epL"{hshG0bXHv[Ouhi=FT!*+Jc1sa|{t1BٮLAyP@XJSڑ]U:OpV䀤#"IhCݔ mB.wfT%ATݭ2lq>CD"ҵlݵsWZ;=CDiv4X`}pOmD5k` 2@_Eng_ EP8~GFeWecARl0 Ϗ56z'QeA\ƨG2l+KZ\<ޤx}"aə6%ѱ!~aQܣ*ۮoBȜyc%4?>} b87}HY6W1*]G /'uV8>UvB /hYw蟜ojW{mu)pM z? ">'-!*|KZKH'z[]O՚G&D+{6[yA52B6@9%ž6vm Uj!H A n=X:";ڗ~3c|b3%z)\C]GɌڱ-L6ևe^%مY@;mG:}=M4kt`rkJ GڂŨ/Z9a=f78Q"+S=b@ ?>')Fx2━@IM]͹D3u=)',%7߃qu"`IcIYA\Xa۰1#5N!G~hȼ@Q35VF޸Rct[Z* T;JJygT#z+ш nmv E;>FR.یa ױhV\<9=SXFI9v#Aa3i4j&F;Apz9pNY>$3wr,7irg˜ z:KLc0 `cnLnF{{Q^?ۧ'6rYϷeNH|#r7䪚SmT|ސ;S'ɘV Hq`Vˊ<[[p=A _G!ӻ&u];bZJS1ABkjgPQI\3 TŴ c*}ׯQUko#0< uֆf7sK{"̷7+ƪ + HM^DG"9/s5eeo:\ϴZÄN=Jh DZu-#XC>H2ȁe fasqffSx-1&'NVPtV$LZ֠][Mng:/P^&o3s%،|>u}ll2VT=)ԥ#*#dw&mzO>nHe̹Wϒ;UxXH9q ȴ {DXKwL^4{7Uޯ)hWF4710i9L=<:Ԑ|!yu6lB̚[vtqwӉ+߼a*ZD&x[_Tyش'DǗDK#܂0/ƻ m_,F%eJFS8<6Vb'qUBW ϱE{tw/bݏ1-tѱ]R8 1YVTP6юU!OVw2߽oҪӾt/@D?wVrft2 䴠ő||fBz52{[I0RHþ jurxVaVn깾n.Cݰq׸BSTۃvSprRie7fB葉/ LIƣK1Jb`/D_c۲U;v( nY<&W8b,#Tk-qm԰XѠrݦǐhs~ cR灠D6|cy0 e׵~,chŀ.fyLOC9پEfqΆЈɋ Dgyr? |OB% 5Vv fi+&FL̄$]]@i|b%'t4OI04I!Kx5mh:\@wdĒΑʡK(M$@vf]]uF&¡fF)I5=ӉÎ\JpMV't) W2!}bGU,RDsZ,[ʹ(f /DkKvK[ ^ӛ 3uAuCꝅOzKk'N\-IwN8R1{ ~`syW6]h$wjZp{48,wMdŋݓٶ՛[pYbb2$|4JE(o~{4遖j< a!d:VܶC˟غ^BK9d c'*~D3D'Z% SF{"C7/AKBrGC<(3 p.O1ߢ01ĄY _4mgkCXhV{vaufpʯ4`8lׇ#DPDP,!2ڈg%oi {{nC"b]9\$, Cߤ챀>*^;+6͊}Ӥ6~/}ʻe ñ\z^ūj 0qZi)QP5X7\ޘϥqA,ejiW{ (|xWƀ0MZsk--C%xʉCzsp@qUЩ~qUG/<_4gj~-5jMIoner8LDscDw?HegX31 uHXUn >$;<7* >T!I1=aKgDhP)ʺBHK]7g=E/DGB#[MVKa I! m?No[c|| iR) SJ+@(5"[t{~"Rlpʾ䡾):-$O>óҿy VFQ|Kh|ᄿ]2$F&ts)Pr*GсsGb|]>]49- ?<usE79#>W͏x8q>pc՚6.a&jx8gSO]:T#z3oW4G_;OYY}f~OJ=x-N[_cYkxu%U#x˪BڛbdoWDVx/ڜhf%6r_4?D`b+7UCزZm;*TڻpJ\;ċ lZ@݇ 8J{`D ۸Je3hv?K8ڑ#ry/uC"b/8zk'PQe҉O ҧ?^ ~"JDʻ5;t\u w (ć+g:̒a$s藊ٙ}3>HG´$ IgAx792͡l9Bv(BRRC;4kRLNpXmл6qK;~-f~CVo`&co ,Y:N ɓ/LYkt4H^YiMp`N_#]X5Qn^F9I`N=< ϙbߦw7eo~pcJ)ԗ`K#4Ssj 2x YOSZr粽PNK[rÒeTI_1rQ䓢ƹɧ0 3~'e]NkH@+&MC4>K8W  +cV{pޡt+N;!uw)^1t&f%=? `⭽kShR]J`߇z$Q;rxd XOH"gi(-b8Q_,[Oߎ{zoCfWl7$ "aƚᥐXh3nҺ;bGifgLtf)J,]xsaVN٦0 ;˹X#8:hN'5N誕~T2{4T3Mu zC?A@Wc9;;Q?2w.3!B%vy :{p*-9W֍oe+9=fZhrA[isz&M$6ִ1:qoc5p` sNڞA_gsHe=!wϕ b聜0eշ6FwޒQS5ԃUo>Pqc %}2~ o訂IȦz#ײ{EA =_ڴx3\оϝ^>_(( 0aMe~u|C?N&gCt9'S/C)h;"/?] ;JT(eVaCOoR - $1tFѓdƻ0PlX`wI<-Vuq#FYф1bnp_=8j!HCY։HdgP=Oh2=. :~b&I~s(U;,gGi}Rj*6˭w't6 ڐlj,&t"JrzLTU}B@XLv ty B9C 3%hLrctwU9As5d!,*-6x~3i_Y'zsX,4l?Gϻ+T#RQ_<~%kÇey[Ӂ$ڱLnMϻѱ uCf -E qf[$T9SxD^ לh W pda8 ~is-AE'y]i,rvaCş X~IJS{lqRֱ=聊~ˌ)ȅiGbOcV W%(ͻv 划񽉏ޑ-~(|Yٵ+36"o7O?k"O^ȼ@nw }t?DBvE&Yt2] f (繩ٿqs/I]ݳcJ> ~u;;hT1P{UτD:뚧M2xd4J/i/J6Վ=EpTt(%kE17 ^M IwmP>= cIIee:.KY#_: ݩN^`npvHtHn+_V)hHu]ZEp8O4лF 2&(ؔ)CBI^o9QTsdL{6ae"P"U[h-a(G''y8nbzE2 7Ppݜ#-pu}&On؆b?y\iF#~lW#SSfS|$J_AXGp>E%fБe81J-hm șī0zN)Y :MT34E?b)QCe:a9\AL% _Ƣf5CC I+q]ns7>'iu< P} s _o!=UQ%~#HUEW.oggϿ|vBEQe8ll=zWQ}( rUu4_QvG0cnj#i5DVAōw}m&ﴎiN'q4cC*J<0qѠUK,>F]cd~:֚̔Xqa&V_!3A磊Z:Qá c1-bk=,51)WW٘paǻPi/0xh+HDNLTJ9J_}7Ϣ!y'cr܎~{N1:J eN$¨} t\Mx:g%ӝeN|(=hƓyߋ5zK AA@8">I' ,^ϮZt?QϿ[]l„yc{0Kg"kI.J< FőBЪ#h<ڻPl(yk .1 6䭭=C{dx%EРW1RZGww}(z q>|ɗ RC|;>pT'S qf.9p0 dj|lߣ!K*Vgme[c5H/H2LvC^aO吏r.K[rUgvLeQdzZl}=-\PP ;ZHՕnl` q[CcUR 4FVbq?_ @z HqG.4s8Fw+SKQOH]Wp%Id՜. cȁ XlC'\ϩkF󍼢} őgy MP#HZI[@5tճ=hl-p -ttf~X'" Y |Tk'sr?3 endstream endobj 294 0 obj << /Length1 2242 /Length2 8532 /Length3 0 /Length 9844 /Filter /FlateDecode >> stream xڍuTZ׶tCI )0 0 !-"" )H -t^}k֚g0khsI[",+( Q|@ /.3YCE0q]Q2Y+N (@|(HH"1D8d0K7@2 a64 `@""BPg ]m=@A]UQÍp~ .Pgw%a:3n\f /6 0p[Bm%UG(/cտ 8o_``{+=D^ӕ[2ۻ P`w0l2]9 / M stuv+ rpK>Y3j_'kGx}V0/n zBlx~rV~Q |+  qCnP??F qX@apܛ(1/:|g'=?SxY"^7ϗ@WZA _=~p xxA߿haT[!"ՊjuY^ 6c#P3 ތ PA}σ7߿o#ɻV?joȺ_ ZCZY5%῵J`Híi#E ԀBl~_b_+fC5._w W;Խႚ*(jmQAX/^A DZDK p( @<2D!?HtPj a Gxn?G xto*?Ht$ ౸A rC젨+FAG A.GKpWy,Л( NnqAU7?P&@TQ6@T`@?:@zU-FxF:z[ꌺ0-!nLJpZZ'!A mܴ u~@ݡHPA\PWMTU7IPw3@v@ဢv3B _BޡjMPPRk!nΨNiQ[ՄB= D,Ķ2\ڃkys!fߛ)閱ȳy vvfsi?4޶X"8pQu]Qin6zSq(5vioy|&錦ңc\h:xw"8` i?~8fx*Ht0ʼ*Gqtjү~FÉZ]?RPEhl$Ez^$nB+}u! $Ia>TKe' 6^kXQӛ?+9:"v/+Hd#J灓&3K &ew^pPm G^*<{A~!nXq&d" Sp".Q(`‹8;XSCC&I@ݛc:H ᤻RMuҜ_hG}wŚEqa͡4$ byi[b2x={Iu)&-)/U1J8fGj->)Z&pl"E j 6mi\.mSrN, L6B'\+ $cp? xԧZO4־\㺨^ƹ1ٵ&ݢ{jzD%žiR8I֑UҹS9fTT cJqt$@3Ș@bZ<;Q0h%rC'2D'1 xUXHD#tI V6 R4He 3A ߭dܦ O/hw¾ɇ 6lënche?aEt6HZ[o]sȘ_/![]L2ƶDRZ_WֆY '/T> g)9J=싹vI+"D$M8p,W:c5VOG +jFР=V[&|lvL|u0.6.mP-Sm{/-(^N4.=˓^!4\슷},'fY{C\PYȜ @An된GqZSnk :՜*h0clO 佗ǚi}LHAxgM8뻲]jhpݫ.@fi\ڝe'0VM9j _L#-%_ˎ],~ͮ6T=Bg>}USָtƱ鷨1/Q9c04'<ǭN,K5' !d™,gmcqڻg2!:>PNI8+zK`n\Gdd3pfv.w NΚd$bzw6bgC81U FaoLOUôwS+X}h=ځgH E}:UbX.vںI=)T'7;)(RX3=Jl)K$1jS*4|TQUB3!}p)g:{bItX|LMq,r$ZUT i=s^c*^p80%[rA.z[Iju- bp~YCA!#6!y[ӏ\Do(0Ҽ)SЪbT!$R}/-} @ڐ{YD+3=zx-?9LmL&>Z$%Yenc6]^mճ(FI׉K\U6Ju\_ec¯=ǐf-l_pKk7XI{LmrSG"[YRG^jh;#яs?ȯIњeS* !DJOq%=yGƙ\F3n}$zž!:Ut,_̓rY8rmԈOvf mG*%*xr _: -k.I+dlWe#.|"yX5]m:|Hv~vUA(IPi‚}=[F SEksn}̟)Sd79=3S|fkG*ͷH5x!OH!dfYN4zgh[9IP.$n[c]e<y9ZITo5FŞ6|>H)XY/k2ԎNd^&S2YxY +V*;Gͫ(*TYW0j;Xcd×^l:K#z}>Eiπm‘2e*AWO߷ݻwN8J{q!mֹO_4a obuHRT4^}HXo$/~͟>?yMI#Y^3gqP!lS xZ-񄐬<"C| i|i! Z*puo7T(lvPܷxetmldٹT 0N^bPfTh~@BgtH.L\ DF*DbbYfoMS]iI ~0Y"2뺏WkWF[FܬA`PMM5df./]֦ϼЎ &ʴ+ꋞTq:ce#kJu;b$TL''Ć;<ԛHgɖoG^l{ '62;f|G$ڸtx¿d ?T 3}1Hw/7e?բ;xk2Eqܢ.kcl>:]ly lCWaz:g8DZEGk.BFma+ŷo/{one1}fh$^Reը5R.q:|_XDYpq8пD""B Tjl{|@ Yԑ{#TݖN$OJg4 ćN rXSR_ԙa:S&Iu]go,cr:\Y10:Dgi [F0IUD(ͦzzs"JתS)HckI ۩z*^vՈ>idɫ-?sK ҝh2T cW̒!(ގ NBgY5`*D9[]_by['qyP]m%tgǨ 4 A_N‘~ A3ivG7mVm΢}%+XEJn M?z*޻5bir@ "$?΅C5W(jAǘOh }^쾣栗ߝzמazġuWs7CO)H! Ѡ 1͗|R]8$ݢwp}l1=*`:I ">{BhM 3,Aa3|4y*-vF6ұKSNVv!Bm'8BOQM+]r =d=b>Eg%ܺ0ob@2{qFLG_]|!Ub5%MdymE|A w˭r$hK!Jo*H`)êitA_"&?ͲMȻ?Z{/!"RoLJ^D ,Kٍw) :|IYD)D)H>pAf_mäYrD1Qjݽo]W ~>ӵ|z[Sx1GjS }Zi(u$}nک}}ՀM!4-k[6dOo4Ѫ:#u4{$<|L31RYPܣ.]'ss.IgzLa3WM{WNZ"8xؾaꉝk`[85 Kħ*'VFZv-zfmQc/x1n:o\NI?;"q{ꋜ^Σt&/G9%³v nE?O@WIs4^߈+=y\%˺BQ$ԽhS1ܓycVVid{\D#aڮj00{#XEۖ{ReIu=Ʈ5D/k}&R L|yfT;7Yr^47e룼JѰ5ᬧ0xPεnnJ?(*p^lU&#})#=xhFp+ynsHu#;d2f$%]rC"B'`f)|g."[KQ4Z߉В?- p^}xa7!]M%ɐI5hxⰏ-[& *ӎ<;v;-ڠS e,&Řˀ{/R X+Ώؔj])E]_DywSٓ4w?˹[).D!VL&_,gJX&)d^o*s>^lb8MpZ-!LXOc#gC'i@EFX  J.Їk Aȭ}"Œ 9酝J;" et-g R+Kxh2 OA/h 5 ^}l>Aʙn66n aU5X3, Z38һG&g3*@¦-gaeΔ"YX>m d U䈪^LeO$C'*ƿ9r65=k{yA1+Z %pjn? eZ'|0,7iO,8x>6!.RJ8l8}]f9yFuZu(vw)s\h|u ەx}]! .(l'Y򣖕 |ی9oUM2PIAʯunxUݖ;_GC;8m.Vv>1]ƥWHH=l[ji2ۛmc;eXj} O G7|[Lə JG1y"h=K=b}N60>->CVt)a0!GK";d"L卂g-ni8Q]{MD5kMH\ntϢ[d+vvԻŲq,n%Du%Olj/XJn @W){\B(@eus/?Ar0.W&ocP{dBp2aR\kOt*;8$z?qHMwbmԯS -E/&xƻ ;|! (a6ߝŁNR?ybNU#)S^q/ 1TQƭcU>IG4<3>N`)=|_} 8ZRy}lKCeTpƑtdTuV~ЁibqA(m$1#up7y Yz$+ϋOًud.=oӟ_ZnS9Բ]!i:ka̶Y_2߂趿~iB,~V{pʘڿMXL˭R!^ei pW~Ը0p96;h,w;2`R|a!l7fq++WI`h0Y 9J}QKnU_Uӹbq;͏esm2}t*SC)W:D+N{$ T;~j.w5 o@K]nX 1bbMi'W }O^:RO+ƬVAOQp@i;bn~dIr]7{u,pH(gULCS^G/dc]ӺUpUSNIx+N3uB+%ڂ1VUb]V>+7-Ң@&r1uY2 GiWTaP-z:o6aߚ^mh"9f8 lYSa1M=jWtĸo{F9sZio,l[V< m;Ury4yAFsHq4 p9f|^'Ǭl└T5?UR9]gO vI1siOmX6W7dNwK,o!;\x-{GPJXn,qŰ׮{wt#+䠀fZK<,NJg?IDDVWtWe^}*er?)b j)69.z>YbHxɯf:NМ};{Å^I%j"J׃ma\BqxQu+|ĶE' a&HЖA {j+uBJ$CY!3o=G;g̩k[-Lc2bB;gE\n΃WY:/B(ۚ ۧQ![Ѣc?x#_/pAb(wXf2> Aw]b"#^j,0wLeJ;?/&Q-0_X}9ߘpk4!g\;Ģ endstream endobj 296 0 obj << /Length1 2670 /Length2 17227 /Length3 0 /Length 18748 /Filter /FlateDecode >> stream xڌt .mLضm۶mۍ8iFvcilݽuZy^>o(IDMn ,̼1uu33#33+<%o1<&с_b.@7L duX8yYx? !/*ѪI^H؜ZDBqc h0RcmrA5ڷL>*@ }y\r ;#E P 4 ںFak5JyVɳ I2L2+˰kNFHع%4a zx&RIlb#(TgMqf-Gna5)ؔ!1V9j1fGuBKC6?4뾮jBa,ٿYԔpw4h+z@F" S`!itTh{IBhhiF@JG5ZH#)}qK^RrQ>IsL$I.A* 9h9Ou/6wuH[y V6Y )Kͧf#%^3Ķ́9SU,O=Y!Dd&yk%OB7 qd$igegt=#. قі tYPmD\:˯T ITa6G۾P'^XJ{5+_v|h, Hyy{xu@R9XZ8}ٜWYpŶI|_]̽(.;7|033f.yLWg1>apެV ɥu&ԙ>>o=[`dCc/uOo w`݁{k ])d_rƯO|=bN`w~ hq~kC]KU@PiN7]B? oe(t`QNpl(,jy}99S΅Ys9XTOq(HaVF vJgy%Z&ݐwKɯϝpwV?lCi\V6qV;jRovcjĐrƘ=m1ݶސ>_~98zL`Q{Ǻ(''uE)YS08bx>)J oOf晖`]GυF~z *2 fX ېPS'2x|4yTɐ cK>Ѝ{HYE:B7fVMFRzޚ:y2_!1j.6oxl8*䡄D 9l>tdI*o)dwOUE%yr &}ٛ)ZBX2f0uKŔm!pbA'Q~;E xط~6LiQ 64F͋L9w,Ar\J?a^mfOHNf ;bc*^WBH 6){er+FhF: &OЪB7Ap!,XkbdDI :m1&$[z#0dJG!S+JT w`MH@P02\]|yX~7ڻvb-@U FHPpVW( ttOK< kBn.k}EA˗9QZ#  ;HwA[_'ZXWت|R4WYgU[duA6SkPPHHlxq[+W!0Y50tZvһ|IٸQ@pWiN$ K'50lJb%p' =$)4ߛ&h:NQoض\ V?S+Q`?k_OYZ M5dWHB\mCΪsB Gl] -yȢ=(kD,=hwko^a/̩yrHzq_W6B[DTCNQEPovs. 370uexJF⋔0ҬRSdtv]Hj8!4Whug&ȋ?q $GRA=GXy٠(͎ }G/0zQƫ o+תsg0a+ȆG ϕp}T_QbWuef&RY|kQْ꿏06 c|p,rJ`~NF3hNU=%E ˲37hD1k.+"7^j ѩ!aKiʽF7,")?\ʰyI,Gf?PO N^0ޖ!¥fydpE<)4B>EbDAg-Ts, "MkCl8Ш٨ĉR!-+`״mBghbb-iNDC=dlJp2-Ǭr BF(ѷ}'3RW`8Rgɩi!uOū1ckA^U ?޼3p2]{+Ò"# LqQ\ik )ҡX[O>K2a=;FcòIKEWmxo4uxn@ĶIΒAomByE@ lF0Ҵ}|(N2j!RӚec ɡDs8͔A2hր1^5_Y+iOUi[#@|~PD {~@}]cdѸ .ërCwW{up[ɏ:#jGo>e \,(IU^H)>"xg稶Al͝]MہM /߮~jJ;F0hw!$ɺ#@f@S"Gc 6 Z@O+*.H;ͪcXaϻ;n̑RT_F_^=Ym05~OLD kKvUM#a MbR zWإFWl88, UYOu,k_DϺ 2# QڡĶa^!Y6țm듿r/܏xlw|,)śhs5(H9%L9g\tBƭ t\D PYcQL%)%v[z4ŘмQ8ѹ>{a#%v#E v̞wק&k{|.R# (M!,I` hzv5g?- dXuDaSx6~$JȪ-S7Hv(vMavD2yOA2XA^3-CX(E kǽ48(1 +)}⌗\xd]7PkAqtYތC :,tww9WKaK- n-zjo*{\7|Dƫh bkϷumWV4RsϿ\LXؿmxDoa'ЄE]8˰ FRWrp+@=Gs `*m$SSAeC^w6JerL=G~&(QTXzgn/P[:O1ј[]t0S:ةtOL4{1cR콷Xn"N[1|[|VGD6ӷN͸D]%o==0HUǔAGI!yG|()pdTAk2GLй 1<ϱص?ߛ>G]]j^Ċ7lRD6luCi[Lfv`u[qjkZ?p/o9YK;-8]mzX(e"6|Aqm}C{x~2%o!MkɌR)pBʄyS~SzWtB;inAJJME[f wyrLY_^?wfX&5>3{&k d$Ok3)M 6J JɆ 'Qa$ZZUh#GG;w<Sw܆h صc߂B8*+w͕S+P6fo#҇Pxv[ruQ=jz_fefҵ!n{*&1(MLFiMӑ5w_V )k.F4wUٜW ) vi gX;6D,#-ПٸLMll\k66Q虄e|5(Uμtdt+нQ lzwyzmWR 9GEK  >coFu0p'K#?cC˳Xa>#tC L lԝ^xCq_߂2-0#M 6穵`>bo }2_ڲSC dž9 |\Cģ^{j Q䦗^1RHmყ}Je.8ecn=b[t"ݦ`~fr 0o _N]_L5D; GO[euW~zu+MmAcX25vŶQ$P~Mcf&E]~ytdE|dڽp-Ig+eI`Bel#l yANZ%*5n`g_Q~}S/:6Ko\Y[0N_:X)os#߷%C$  bJgu{|o[!(RUO0:  |E͛+՝Wjs,- PHCFٖ|+TrwE奼U}뉇&A35N&{%rctf^Dqy9<L[oAC5[$~D-!MtDSrzx$pJwT92Wh@oxMOR%k'3&+7x۽{`Iw}_X6 C79Sص"3^%P֛Jڄ»`4(T.Zc*xYopG>r`A!_FT:BS|Rs8O)uگ{8fgi10-P^x't6+ 8o0t$Ae /}Ӈw^?g 厝LTeF\!&0 Z>c k}iхN2?\{E Xt$Yv@g6o$RՆk} G8{qO.&=N,MB\',:+ktmjfVc2]z$Zw%yxd?ɿܜ 2?/>zi`=NıPTQ+o|w[0y0߫wU0sj&?/X\.Tl [TN;B@ѦD>f8yֱ?tՙdžDX5Z3}ޥ]8;ID,W:t ɲzZ_չzl!tVRŏtt3RḰC_;Y65s$agAd9 8fC,غb)KkK3FPޭfM`^+晡+W@CBt–2S@d$m݈I Pup<+ötХ/Y8z-~ؖvT}-Gjrhcj@Lsbz=Bv,m1V++LZR8!}Tէ> Q+gb^ ϳ"C8.w.hM-إA@jawȵl%s,j_ 40&f Rv#d9y~֧|׷toc`:*o l{E) ~AWL?f!A@!JNk=k/$_EUK(zXm0H\N5H7$G+yJc$9(}`v̄"`&Cy(5ē39XF _K{BT"f'%%)VvcqUgXPZSY!a;9ڎ̿Pv*Yw9j.dX%݊k?SbO1Sc޾7zW=QK\j%%y7 74>K1JZK3:ӡd%&VmӍYikʧ" Y=u-vc$0k$yO7-oZcn4zks-5\G!QX8s ARf>WR/l*z|ZHqڏg}Y/&j9d4sǢ7Ƽqⲉĝ)ډe;%ƥƃ墹~ RUoxD.$OͣӂHz^"߯}>1yяzV%h֐Q>fd8ٱSVBm5nl95ho;Rv6 029UӺdt}ȏ*0 tq.SU# 0VYV,® l_a;eһ/JNCD~&. D;_.Pj'xfOaycU!^Oipj 9& Dq0[L5|WIJdD]S@{SByv3?Uam64{>% ,B_H Uݩ$5Ν/?hTS +Ȕլ"}Q d}S@$7WjuqkoYp?`gZxp {G0J_ XV/20:Y+2z2x4}K!Akfel*|R(CvꮩtiY\lk(~@Ng+鞦b\ 10ov?INXC;\t.F;b擑>XFM}urآsB<~yC}R1DG Ijȯ֛FzJêⅵDu][4FԶCq5tDkI(9Z9 U4Pȍ.x6z8Jnw{, /c'_c(]!3\D'Z|􌮑4Bgוh-v3=kՅWsn>;#Nw39}B!|dFYW\']''H5wġQ9x9%D uaɖ谻 4ɩߓkŊb> O (^qEBۺK=f!l,J 0퍯!~.u =Б؟oRDu5Gi+Q=8mEkeAs},ueD`dVd܄{<`7 B4k^CggVPWk\RZRpPώ$Dc G*돐t31 w3a?[sߦ>t #2?폾XKGш9pҼLL _SHcq$Y|%>;g&~( [7aCEmeO{ݷ` K4NE6Oifx;s' KD߁{ѥ2ϵBة7D00l?)YDNյ+*&>aQuDabr&\0~NLq](]UD{dv >XU}DrY=hIx-( jIv7VUC?[YaE uDhXOhlۮ2[×9I\Pyݜq;GlqևyI: i ieO4tZ$YUp/}Fr,Ga.aV Cкu"}s^q|Ik)g"(psӰ˘:G"@$t HEBDPF7{d.&shWC_xF. XI:~FϧTܮ&CWCؔMaQOM#c!|܏g]WJ۵s؈1ɁݞRW]@):wdvT/z&󱿹}8[p?ܭr2Ol@ZpW]?|$Rw>P!wHh+ <\Hu{ZTbmMĞ+[ `@PL03aFM4qfhrTE=UP{ &]R/?-S(ՙـm1K@dS[CM$Jtأ~eKt±}A!LEV7S˗F43m/ӂ) !fK t'+?x=dMdfzђPGe#@=6XHI7@vnXD '鬒d ijP~PL_Wu\{~#std4nϮ!WߜtgV 4S3[o1:3Ҍ!с5зuk]X* ueo?sbnv] Beȶt@|7#+”x0]? [ WBtV_ӺGk\M?떑X,oÞ=bX254FK;~tғ5g/u }~WujiMmZ wtBfFqI yZEN)>2왏4d نn8T?A7dJޟԧ*ZU9n}& *Ys y~eK 8 Է[;-L2ֺi0I)HϥA}Pia"8Q!Nqъf1I2ŢnpІq]9PcK݉8򛉓 E\TaxH0G`o/1exO؟&00Sƛ; :K4NyA:JcT_m6#2r~b:+IЂ'ڌsв%9ז*-^l9T@w].خ>M#>٘-|G| [EHmzctvO.}O`7V1gg~er5#e뗖M,L#L+H3#bW.Ȁѯ҃PTaOPZ1nGIOz3(xvV'l4R4)INƔЄ4o-'%ɗ#3F8YM<*vژ1h8meGO+bB!ᐴjwcU\I2:rAPpظTGEآn$ 0bh:+s<`_oZ'#/N7Ӛ~Zܠ P.46 TiqJn _5~5 rQP-a댛Jfui͝sT/֭ ǣ:fFdQ&0ǵ v>WU̞E .RQ Ɨzn5݌#zMݓz]hh`#~0۲Fb-^/Rt-"! AK :-KP)zZͻ" >J­L+ϳ2uoK1O"!n|Mu HF)D#!_wy2$E<_p0,^OQZM}:;5iڲנH xhUf:I%Є^{q(j͘4!KX,̈́y!CPl ݣh[ka}j NFe +D2I<~sߧ\_*qX7"φ%A0Mo oUǙ$X%L.jܲ=tPooJՋR yW6m4JD !7/I!/ RGE!%Fҏm?}%sZ.wITYmb=,H2=I%0riZizt>s NHwW{Eؠ0i{j>9I.аo~D=EC[geTgsViXūQ-%"J0.P)1me 66]{ #ī@V{x~ j=L< [[|t/c}y(\K>LR$Arx7-M>:֋ y}xmJYe|`L^"[8]qusϗ'ҌfC.٩3}7 k Q"hFPO=%"NC_&"u e9p4 4]t;)[|?BU<RIdr$LV- A7sC$q{d;jwIOwr H!!'[_&V7M], bAHJ\)َ1 W_ݟ}v\Ђ*5kvDanhC锂^ / vLh_@OY F"9~ J&A Hu֓Pz3F8C:9,/!&,Ǻ3fsXF]1|]yeYf52wh>WEEz(y|ĭٿ꨸<̇Qċ)V#[rS۷YzOk5h9}h<-Od] a-m9ყsW,h )`ت&2/V[6gMF*48ʐ2S0֫5*?0t0WO'Iq#>Yl ݡ* yV@. 0 a<ĆБkLoo6pG6v5MԜ7,\^eiu➪iac6&ٞ!Sdʜ^C<-L_wl;F S]F?<-6']~D: n3rYeAs[CL7QK|MR >1,6& [n,A endstream endobj 180 0 obj << /Type /ObjStm /N 100 /First 914 /Length 5840 /Filter /FlateDecode >> stream x\YoG~ׯ .ڷ`Kb9YZTHʱN5j.2)3;buum;{u*JV*Ji ש)V*( rҵ~1TQ&U2>.US+H*20 P)G }0-t(h#RWq6.i:HE-4*OdU|eᴌQ-2$8TtelT43BM ކ6TQ4v`E D7TVa=ђiOFR%=mTeFWNb!%Qb\B j FoA:?(ob JTDU:ih>muE[S%ՉM)*Bbgփ) 5ZYn_M=K;b[i4ΙPGX/#@=pP֞F8Ю=p3O#\Ш/mӁFxF>bϐH "dimTMjFDQƤӐdxb1̠EJpLcx()! Xh&Zl !/I(Dj!^D/ݠyl 8 4 )f%U + (9{pTw&QgRWx I ~*Þ8w֛iӨss뎫 z9v}o~h釽?zSWh8׷&|F'wqOθFJgNM{+iGQ@:,="e XK,9Y6PB8,#vLNZ&/턼${o)jYY(˝#0g b"Y;"`ĭ$|̌S1-t&${_*c?^,rc,U{\5iA{'WQehg]|r5#ֶ&NAW>S䘴OVKKLfP9lǍQ @ ɻ!Ke*h|5C-,Q뛉vhѡb%g6WgԾ..#Ʌvtd4 %+g*Ӿ&C,12ϫ+JKhg-^ j͞rڄK4OڽT7g4Qf01'=*[iw)w%Qc;$PXE=8`fjt>@DG 4;bS=jnH:PVE裔hK^^ wEY4:,yi. 1Atx 4*Fɰ<ߨ" jXP3${wIkXBwR4df?7)Ko>xwʵWJA&w Ҥ(3w._sMp{ +G Ac⺄9C]%i K%k J{l# die ^j!F)=;ϴ]%e%+ʒ1F+Dm,F36wZl'5KsKrJUq gIB)Fc#RUenސl|2k`6rOcٝRcr: $#,y].LՐcނ'n8X[T4deY*>VYf` \HN'Jv@Gvmݟd ~;~S4[wa#D˵Cwl^B4,$W_ue3gQkO,ö+a+$@10!&vfM<14cyf fnzt.8L.[Zfh}rlnA4ý0ٚ@{-TcI]ϡ R05X l<#<  X8,bMhvx!}\z ;:੔e.. JI B0òWe0wYΙCF" ٴr)28 )V;|JX$dёID DE vRlsX<]n 9z3[j9Yvd)Trx~D*is.` sYށc@ qZ/)928#p-Y0sY* hYFϗK@|d۔9٨e,l=[W%[gH=KZnR.u%y@iyu%Ͷ$%9<:II9ö;;6ary (jL0.9 cДHT:ÚnY $ aVpd MA }pΒsaްOs >ePRv̸n-*WnadI0VdT9l3U3 Hy@;)M.,e?qܥuMa9rkbxI! *Lhcxxƈ9:tH{V|do|,! MxvЯ&Erݶ,\{FL0$)5M4%,phƳ'3gFfCdU%68yV> 09UYQs Q:¦ cl#%sаZd&|>ڒgőճI9 cϡ"6l7ZڗJ`s>Ĝ~yC#\{ru^YF U/d&J!1nX0s>Xl5$A|v`U,%x,I;J;[4mܬ.;ϧ9 s)EFY5Q&Nإ(`qsa'!1 9XX',g Y79#%J{H%F˸d-432иJԈ/eXZ~^=Ke(aծ IҐ؈8 `~]c`(#?pM?9 )"dg8ctdeGVlZ rRvGqVumk3߷lDܰjv67}N.t&'sJI+ĜJsۓмZg{%{&Wmoݟ^GsK&0̎qJ!"g"5gjs yrq_dϕ8Y2h܉7)qm q-p7^[[Yby1cx&w3LD )It6?#,ӿ,\`,[樟<3}>8ë0|. aL#b<Σ~v% XN5j~Gp ה^Kl73{4&5FN5¹q~%i9kY>0A5 մ-ʙ6^Y%S-=[M9eM.4k Y~g3Kύq{>n/58]!z_$itV;tOOeKJ~VuǍEflngrN'9zy7S\.wGp_ro=}z(I帲[p3{U*͓wyE {nO:^_W4I}G{}3)!q(H$cx&N Rx+~ItEwĹE=8ą ۑWU==k1C1F_bk#lHԣ<~[Fb,ƽ/b"&W?V|/W=!;o߮g_mChbY]ϓIe"Ʒzyo||7vF xrF3d!.I~ʠBy&oC7gO31z 1jJ;"ƻMwGORM;"%ɵ, EupWL_I_ QA3"YFwA/듡l:<=:zzd;lVJJZ'D{\_'S/9.k_cT#v- `r7T.za=L9P7=;Fe oo+ɋgoh3VNef~Χ;;!My x_1CBA"&NpP@cY$V'o0, =+RAeyH\auB|ՠ`*GQc҄BKL飇G/O3a &KFx>6>njb}m5['o8}5#7-7w\oba⇷g(Nw!Ѭ%'rm_s󥰬QvC[YG޿8].9 |C48zN#'UgVc߫'WsФX hst&2yYo?0ƉX}!x7~74=7IsJjƿCFnn%Ng-K'12e_n:R6g:yrG$Ma E1P( \΄Bk –E)o>-6h)ixUvCJbQ}'۶ON^>>ljnqԜgz_in}7o5NւH!k~?ר5t7u&n_|ĭ_ ?<ƿ<fAD \׆w#FoSy ̇;"^|c]P>a_5X@椞*OeF>w 2$y1#Kp݃PL['dK͍F;Y3+ul]&W+耳tܮH;V&?5BBo ׋my蹅k|zhs68_kWܿ8~j4p8)j(['ǞnKmcAvPǝǺsX&Me, OZÿ?Q.vBNظOwb/>Y\<,.MI,n,X' {|{P/_}1Օ+Vۯaq%+^ga=n|q%~|_8^X=,IRap'‹/IW#aqG/ - 1L=uR=PoU.!k-,]k/,$q%`Ìg endstream endobj 301 0 obj << /Producer (pdfTeX-1.40.20) /Creator (TeX) /CreationDate (D:20220805104216Z) /ModDate (D:20220805104216Z) /Trapped /False /PTEX.Fullbanner (This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) kpathsea version 6.3.1) >> endobj 298 0 obj << /Type /ObjStm /N 14 /First 105 /Length 453 /Filter /FlateDecode >> stream xڝMo0 `@6[?&i$vV 0,HZ.F[ >|II @i e3 s`(Ȭ P/C rc!)69:JW7Ob@i2=~'7ӲQm]i.x۪nW?kj$}qŗrѦm_C6g7ʳ{Shuj6 W4@z9_1|qÕj []zyqv/:|I]__\ƞޥݾAWΛC/$wO)Mdo;}] _zC72BCA|\FBנ(D(Zm sc/PrQGk⹍6p1 '! :(#|SICuL-el3)~L`ݡ endstream endobj 302 0 obj << /Type /XRef /Index [0 303] /Size 303 /W [1 3 1] /Root 300 0 R /Info 301 0 R /ID [ ] /Length 849 /Filter /FlateDecode >> stream x%mhVe J)C^腨0H =u9yك,1UZV dLddhʳC6 ^6fYEFAİ=Y[$E<]llsHU<26@mJIyTŽ|i el%cd>=5Z,/ˮ}-'aov]BjR8Y~M' L:ROVU񤦍d5]}z7 Ѵ4~.m%ȓhh \[O6Ӥ A+6vPT,&~Utfz㲮m&]p[m%}d muy5ݷ _LMJd 6m>Wִ/a&dً׳N12z>0(۟k:I2#qI9tB}A]DV(7#4ȖTz8˜_S W ѷb+C?Bg I qpfN%VM \V-5oPb {-»e|pV,#<!\ި팷7_Mqo" 3;̈́AV:L3Foo'w&;,lB;U]k^UAU݈AzCɨ-SՏ\Uȍ+>ٟTmEҏ!iiۑW;/U;U [* KUCHrmv#i,dI=Hοj/{GrRQC=@Ψ endstream endobj startxref 519839 %%EOF BMS/inst/CITATION0000644000176200001440000000130114272161770013007 0ustar liggesuserscitHeader("To cite package BMS in scientific work use:") citEntry(entry="Article", title="Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R", author=personList(as.person("Martin Feldkircher"), as.person("Stefan Zeugner")), journal="Journal of Statistical Software", year="2015", volume="68", textVersion="Feldkircher, M. and S. Zeugner (2015): Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R, Journal of Statistical Software 68(4)." ) citFooter("In case of coding etc. please incorporate a reference to the website in a visible manner (e.g. the source code)")