From 7ab6f5f5ab21f4fb00e924d339d7b4cc6b11713e Mon Sep 17 00:00:00 2001 From: ncortesi Date: Fri, 1 Feb 2019 16:37:54 +0100 Subject: [PATCH 01/48] Added PlotMatrix.R --- R/PlotMatrix.R | 115 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 115 insertions(+) create mode 100644 R/PlotMatrix.R diff --git a/R/PlotMatrix.R b/R/PlotMatrix.R new file mode 100644 index 00000000..3fb79bae --- /dev/null +++ b/R/PlotMatrix.R @@ -0,0 +1,115 @@ +#'Function to convert any numerical table to a grid of coloured squares. +#' +#'@description This function converts a numerical data matrix in a coloured grid. Useful in a slide or article, to present tabular results as colors instead of numbers. +#' +#'@param table numerical matrix containing the values to be displayed in a colored image. +#'@param colors A vector with the color sequence to use in the grid. +#'@param brks A vector with the intervals to split the data into. There must be one \code{brks} more than the number of \code{colors}. +#'@param title The title of the grid. Default is NULL (no title). +#'@param title.color Color to use for the title (default is dark blue). +#'@param xtitle Title of the x-axis (default is NULL) +#'@param ytitle Title of the y-axis (default is NULL) +#'@param xlabels Vector of length ncol(\code{table}) with the labels of the x-axis (default is a sequence from 1 to the number of columns). +#'@param xvert If x-axis labels are too long, it is possible to place them vertically by setting \code{xvert} to TRUE (default is FALSE). +#'@param ylabels Vector of length nrow(\code{table}) with the labels of the y-axis (default is a sequence from 1 to the number of rows). +#'@param line Distance of the title of the x-axis from the x-axis (default is 3 lines). Adjust as necessary if your x-axis labels are long. +#'@param figure.width If the form of the grid cells is not perfectly squared, it is possible adjust it by multiplying the grid width for this factor (default is 1). +#'@param legend Set it to FALSE not to draw the grid color legend (default is TRUE). +#'@param legend.width If the width of the color legend is too small or too large, it can be adjusted by increasing or decreasing the legend width (default is 0.15) +#'@param file Set the path and the filename where the .png image of the grid will be saved (default is 'PlotMatrix.png' in the working directory). +#'@param ... Set additional parameters to pass to draw the color legend with function ColorBar() of package s2dverification. +#' +#'@return No data is returned. Only the grid image is saved in a .png file specified by the user. +#' +#'@examples +#'#Example with random data (by default it is saved in the working directory, but the user can specify a different one): +#' +#' PlotMatrix(table = matrix(rnorm(n = 120, mean = 0.3), 10, 12), +#' colors = c('white','#fef0d9','#fdd49e','#fdbb84','#fc8d59','#e34a33','#b30000', '#7f0000'), +#' brks = c(-1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 1), +#' title = "Mean Absolute Error", xtitle = "Forecast time (month)", ytitle = "Start date", +#' xlabels = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec")) +#' +#'@export + +PlotMatrix <- function(table, colors, brks, title = NULL, title.color = "royalblue4", xtitle = NULL, ytitle = NULL, xlabels = NULL, + xvert = FALSE, ylabels = NULL, line = 3, figure.width = 1, legend = TRUE, legend.width = 0.15, file = NULL, ...){ + + # Check variables: + if (!is.matrix(table)) + stop("Input values are not a matrix") + if (!is.numeric(table)) + stop("Input values are not always numbers") + if (is.null(colors) || length(colors) < 2) + stop("You have to specify a color palette of at least 2 colors") + if (is.null(brks) || length(brks) < 2) + stop("You have to specify 2 or more intervals") + n.colors <- length(colors) ## number of colours + n.brks <- length(brks) ## number of intervals + if (n.brks != n.colors + 1) + stop("There must be one break more than the number of colors") + n.cols <- ncol(table) ## number of columns of the image + n.rows <- nrow(table) ## number of rows of the image + if (n.cols < 2) + stop("Matrix must have at least two columns") + if (n.rows < 2) + stop("Matrix must have at least two rows") + if (!is.null(xlabels) && length(xlabels) != n.cols) + stop("The number of x labels must be equal to the number of columns of the data matrix") + if (!is.null(ylabels) && length(ylabels) != n.rows) + stop("The number of y labels must be equal to the number of rows of the data matrix") + if (!is.numeric(figure.width) || figure.width < 0) + stop("figure.width must be a positive number") + if (!is.numeric(legend.width) || legend.width < 0 || legend.width > 0.5) + stop("legend.width must be a number from 0 to 0.5") + + # Print output file: + if (is.null(file)) file.output <- paste0(getwd(), "/PlotMatrix.png") else file.output <- file + print(paste0("Saving grid image in: ", file.output)) + + # Generate image: + png(file = file.output, width = 55 * n.cols * figure.width, height = 50 * n.rows) + plot.new() + + # Draw empty plot: + par(mar = c(4, 4, 1, 0), fig = c(0.1, 1 - legend.width, 0.1, 0.9), new = TRUE) + plot(1, 1, type = "n", xaxt = "n", yaxt = "n", ylim = c(0.5, n.rows + 0.5), xlim = c(-0.5, n.cols - 1 + 0.5), ann = F, bty = "n") + + # Add axes titles: + label.size <- 1.2 * (max(n.cols, n.rows) / 10) ^ 0.5 + mtext(side = 1, text = xtitle, line = line, cex = label.size, font = 3) + mtext(side = 2, text = ytitle, line = 3, cex = label.size, font = 3) + + # Add plot title: + if (is.null(title.color)) title.color <- "royalblue4" + mtext(side = 3, text = title, cex = 1.75 * (n.rows / 10) ^ 0.7, col = title.color) + + # Add axis labels: + axis.size <- (max(n.cols, n.rows) / 10) ^ 0.3 + if (is.null(xlabels)) xlabels = 1:n.cols + if (is.null(ylabels)) ylabels = 1:n.rows + axis(1, at = seq(0, n.cols-1), las = ifelse(xvert, 2, 1), labels = xlabels, cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (n.rows / 10 - 1)) ## Add x-axis labels + axis(2, at = seq(1, n.rows), las = 1, labels = rev(ylabels), cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - n.cols / 10) ## Add y-axis labels + + # Create an array of colors instead of numbers (it starts all gray): + array.colors <- array("gray", c(n.rows, n.cols)) + for (int in n.colors:1) array.colors[table <= brks[int + 1]] <- colors[int] + + # fill with colors the cells in the figure: + for (p in 1:n.rows){ + for (l in 0:(n.cols - 1)){ + polygon(c(0.5 + l - 1, 0.5 + l - 1, 1.5 + l - 1, 1.5 + l - 1), + c(-0.5 + n.rows + 1 - p, 0.5 + n.rows + 1 - p, 0.5 + n.rows + 1 - p, -0.5 + n.rows + 1 - p), col = array.colors[p, 1 + l], border = "black") + } + } + + # Draw color legend: + if (legend){ + par(fig = c(1 - legend.width - 0.01, 1 - legend.width + legend.width * min(1, 10 / n.cols), 0.3, 0.8), new=TRUE) + legend.label.size <- (max(n.cols, n.rows) / 10) ^ 0.4 + ColorBar(brks, cols = colors, vert = TRUE, label_scale = legend.label.size, subsample = 1, ...) + } + + dev.off() +} + -- GitLab From c30009907c03f1217afac6a7e0a1c6c1b034e97b Mon Sep 17 00:00:00 2001 From: jpena Date: Wed, 13 Mar 2019 16:07:10 +0100 Subject: [PATCH 02/48] Addition of a vignette for scoring a forecast --- vignettes/NAO_BoxWhisker_Original.png | Bin 0 -> 48792 bytes vignettes/NAOpredictions.png | Bin 0 -> 33207 bytes vignettes/RMSSSplot.png | Bin 0 -> 82409 bytes vignettes/ScoringForecast.md | 244 ++++++++++++++++++++++++++ 4 files changed, 244 insertions(+) create mode 100644 vignettes/NAO_BoxWhisker_Original.png create mode 100644 vignettes/NAOpredictions.png create mode 100644 vignettes/RMSSSplot.png create mode 100644 vignettes/ScoringForecast.md diff --git a/vignettes/NAO_BoxWhisker_Original.png b/vignettes/NAO_BoxWhisker_Original.png new file mode 100644 index 0000000000000000000000000000000000000000..4006f603576f80664a8f3a14c3b9aab48d048096 GIT binary patch literal 48792 zcmdqJWmJ{x7d^TuDM3U!C8eZGLRwOgZs`z^mJ$I0X#}K81nCYbX#pjr1q5jjkd~IX zYoFiv-*La*Z+F~xj5FK^*qir#p0(zhbFTFe{zO$C4~GH=fk5CXD#&Ue5NLN12$VxC zRQQS#{TvtkgYB%K?}k9!GDH4{QYcaI41u_dP?VL@^2*ryWn*+_dJ=Qb1hF9(5fKqq zSjZyiA=h0OW^6<$S9Ley`L_Ke@llnzNmCdeE(_N2)2f{ub3+U%$=kPObCVI?Pj99V zO2m>$zr%KJ<+@O5 zW*m=FB^DjLvWz0+fS(8^ApiLPgC8kMprWRJfEsd>oIbxQEiKJ-`O6pSeIZX**QJY! zu&^-KH>AYGwPu|m@5NsVKL4qutE;P~Hq_VGH!|YV8G`3D-+F(t3>}Y3IF|NZd3pKx z32Q~3ax%`kSVIG zg0M39>|PZ0P@Hb-1A1g^@m+rY!_A2j-o}Z^3KK4qRu1>Q)BR<_r&m{(FKujoTMwoU zW=UMH4W^Hbj7(2Y>+9?9&b2hTEPuT?`)l~gmdCOuwx>rSRaTj;{KJQZ{$#ESleULm zdkgC$AInNhrDbHM@griDVqhDK!^rupiHL}_E*`#q{W`CyK{Z2I-N=ZexAw=6A5v0M zOX+VyLViw7Q9bn4J7)=>^*!A)TOZE$^Ye4SlvY@MgiS)HEo*7HlI4G;zyFU)+~?C_ zM{scPzmwg_Hs^0|sU00130qB+lbLPjpiyYE-oTJf+_#22O^jt zRlmyoO;gj$U!Py(waU1=AAXdN=@WZ#ak^h_+!XP7?|Y^wpUrn7k*P+v-yK1iLXNX3 zor_&xzrL67zxq*T7>Gx5-(WodaeC{ke@bNUTUuK3^O?ic(0`H{GDtuJ@ubn1zr@FIbBjRu-3p zL)djCY}`}WV=HB$JSj=X(UG&})#iAS#PvnZK*dZ(Mn)WiJWi_&KQFI{>q<`m3L1L) zU@G5lxGx6zw<=0X=5P1Bnnym$xA|W`RZ~-Yw+Ay-lc*clz(2gx8+rXM1n4_Y41| zaB*?DxVWwy?d&#d?I-)1hbJe6czEL4O3KP!{X2f1y%n+F&(#+E<_$R+*g z%}q|~R<;xsJyTbYW6b*b{rg*g?aT8c47G_O%~1d1mnS>$P&zs~dHzcq>+7dyXNj$D z9v*e+>4vEij1VwyTt5go&0#&Iq@-jgONp&}KGW)Rq*U3`*4AcetZZRH*Th6EtmE3++66;)b~Yro zv~G*{-$#{(Jv}|POI_hhwEWfsWSW|qSB@GQqkn%7*5 z?R#ebym7TNMn$=a<%F0T;`DG;uCv3%k04NtpGErfYHLd#iv2mS)ej{g_ z&yk&y5|01m#6;qTu*-`V#11;2mu!uUG8T5!BrX|ymmQuz$MEdF75y$SBqXH1-qYQk zKe<0TJe*wAqjW*PVz60BJ*3{&=%Q^Y7esmWz70=MnP+3{|Y9IC$ z`zV^}-aXtMCE=!4NH23o4VRb4Tl%fO-pgO3C&tG)?%%(>xG<=5=#}`lJtK6bd-@s; z6W!jkv8jnx)MKEpFQRji-(kvmEdQ~2KIhJ_rsTHgj*eHqv;6IBZMmB$C@9i}oa(Bo z7KH$(3l?et4g$HBrKP3wRWtkMCw}}mK04A~>6dz#jm|D0puNvSpn>ruP)=cDadY!$ znW2z%Q$vFnAc7c;+B;l;rlE`no%7E}axnZ!#6vr8Z*@Ujo8MqmRDHbdZ`Y+zf0fAs z8z610Q(Ro!c5x875EmSbZY|?%ms?!C*_X)vW;D(F?^>e19KD2ui8En4Ky$E?TTxLF z9*tN^8znLE(f+dh6=!JY{?XCI$jBn?qHYDE((%{lN6{4F|6*Mk4)^sH53q_*fdb`j zE;tMOU!4_1DD_@Xnwgp9+;GHw@amkuZH^d`edfM2Pl$6Qr+DfrUzoZ;)gEC#k|VeA zNs>kNVF%Bn!E_rYy{CP)P27n4*%Pk5@bJKIO}oFP}c~Upa1UMW|cb zyd&EEuGEH|$!ityeE(V{W$rHN|m4mMonop z*5VaFfEw4;zJLJ4+8+rX9+#udiKUr)%*;50+3?J7QjVb_tn|i1%vyWAdD>#!;v*m- zktIP?qyjM=*o}n%1|;Jf>q>u!qpfA2Y5kR1OG=AyzRjOhL_<%H#XYuvHOVnw0nj?I zX}~=gu*G9@TygJinU+GB*LaYeg0_XFC1Z-#^SNeyUpD8ZF6<6%M@G8Sq~Wh$A62%| zJ$P^yYJY@&;|7i@<@ngxor?pVTqyEbNr^Gh(f4cgRa8_qf*w736xaj_c6G{-XL3b*h*K zH=dk6!*=l7_07$``;VmAFoBI11!`$)!vb+C_CtNfB_U7FSlBz8_xm?EJRIAW{{HW>htm?Zi~?Dr)Qd}+J<;HZ=z3zBB6Ps zF?N4{|2GC!>%ZmysM|$E8l+g@8%AGWU!rS#PJVv(nY!nJ@~1^^z}PTIjn09emgrWT zHUX^*>^u;rdh1|wpFo3rgbX+)^UIh2)IUDDtn^eW?AUF)-dS8!x9$i016IB78AB^^ z^^Mk_o8cSW06vWvi{87ttgJ=yF*Nx2_-L5;mXE@|b$4e<__w-u9|NUP)Duxw6%!ZN zEi>p=D~2~-EUtL{z?=5s( zT+{+l4kTWLWo6eZbbz}0@liCSoQ+3hLtTYQ+cmr(6 zilpvtu20;qMrbg>8G*sp8Suiq8Q=56q5&a+i|+UEThWs#&bg~_Mx-}I?26ocYo-AHL$#o)Hhzeqj}129=;h~Hn*@~I(vD?U`wCS z&dv_GXF?CW4|0PiX@s36Sr7(Wsai6J5wWpsB~M#?mPiM%adH3cEu#6?!}>o?7bKnl z_I;D~q0wGX_?>&`okaJv4bB3<(-#Ixr zN)_Xob0`3-cYfCPfBP1i<#T>|ij{=ICm^s|;WgFl?bdOG3A-jHCgvynSgH=H<`Ag3 z^T$;Y5q+=~%#YI;*M7oBVq#!mCvM!!^~t%$!z$_#*l5AQ!2v`Klb38^ ztL-yj|42qNRP*m}LsL&r?_}o}#>^+jU+1u0p#H?5MnfJ0aqB5XSlHS9{2+xUFaJ#{ z=tklWr@1kJm*Z^1Z7M3zW{dEgP~j=b$)|t*1S#h-{6Pv5iJIFK(N?u^E{OP9?{qyR zaSh+02UQABz{DgcBhxuM+YGrV6N>-B&20?GmyqA(dF}Ac4q|p4tkz!RR^Kyt95+|j zlwYJ=PfLxPe$31ma?(;FK9rX~t+9T5=T1B@OA!$fe29thTwqdz;xCU?-iw{>Ep~!T z2#<^|TTp!Jg3=Nh4cf7qydXFv2lwhJ^Jn7hrXnx5d3nu9P&$nQU#-|n;uQ2gn8%P!R zIW!d|kq#4v7(!YbJ!CJq?)>is=s=_m!iywW@G2}yJx~s5e$ZR|-#`2RfgiDRz!vWNxv|s$fyhTGL=Cuc4Xl-r1_4N^~sY0MnW!Pw{n71o%;Wux(A(uek z`yH;UD=YV}uiJvot&?GZPh*r8*OP5zWMVRIaF){6KKfZ}|2T~wW%%=pKVTFX>gyXf zx-!wxy%wp0Pi2wV?4a*s;^nPwXqW;D+gnZ+O(9TSSGTtB1@4U%k05NXtTgQAYEDrR z_FZ;%<#k~b) z6=%#h+?zKu#9!8>DD(31VcsMoAR+m>wYk3T4&D&ZXCQMia79INz{SF%*WhfXrIk=o zQ4xXDf0^9f-R-tEFkSbY@>)R&dEp=cf}*0LKn}IHOCs3V*gzFQ;d#-xTN9u_<#KTL+X1@m>O3$o#9-g$3uoYme8$QqUv&SC8S@=UQGO;Bz3Rpq!MKl?^%p z{$SG5W@UIzByvg67~* zT4;TdA!A}9aqnJ%QI>QaQpmbzZ)|M*$1cPe7(VJ&JXMKpyS{27^87wDbPEfsvZ~6= zF$aR+MXbtuOw)lB9*uceC{_uH`QBc|bxL^?6Qob*5c;S%?!fQ5k6@xh;}O(*b#--w z$cxQ!07ozs%M9yLg>(vw#^lI&h5ds3W5VrbydfeaQ-@QZXkg00V-8nD? zkq%l<4>(AnwY4vxHg`9(1JRDx92$fKgm^+JHEDZVNvWu&whOcnG810SLsZfFUqHUx zT@?R4l;ywpOtjw_TZ(_O87ba{ImfXVCgC&T^s}Jm?i3|s;fH*+^(YoNWC`@ zO$bpJPfs9MqZ1QWqLR`pQHh_*KeIaB5O-TsSu?SL!YM`*BhlUl6&#{0Z-&eGbHX!j z`yU)v9V;uA9lF69K-`N@=K}~hlkIJ7u|9y%gJ9+Qg+DH#IZ6O-c$1ftrTq>hF*QuJO|D?vMi(e#z*_ z$g`QcZ4l4F6o0*%0|Qalq%bfr1nkBM{+3t{rU{%~n(-cPP1k^ULqKKas0p&`iKPRg zhvE!|-Wrz_q5Y52v*T?_f6uFnv#P49Q8_YNT8S5%T8M`aAFfhg$zd(JHiGIz+_*{B zE>T!sJ_l?a453kpWUL~eDV0ikdU_~_hX4-X9q`I~iOs>w)Ynr{AX2j)zWUkI6P8D& z55MgQ77_vG(g5afXJHT%0Qs2C7pE>D>FMa`9zLXztg#+MH~Ia{-X2!gWFY8x=a;DW z!3sDDI64^`QGlL&ln~HdH7M6!jeZ28!opZP<%adDo9M_ufM^#K6a<4Ieg{8T%LY^j z6nZ00AwcClOkwSt%oCXQnKIx%18D*YvYbqeAfTe+NHIn+eLBT1CL*~1`__R;Jc{#+ z7gmC(sHo5*Xz6^_J(&)MhHo(ui z=jm~AW=>9A#edRbi-R-Kk$kncyt$?2Z2kk}6sQbVgs108k!ArtIqwQ!lFI51$b>4w zf+aBat!-@3$R4=ne*P?SEgahE;^t;ihr!;AW_p7UCDymj*jwP)XfQ)6NPR`e9uvDK z1N|nt2GN?Nc^Fddtb;d`{Hjev>> zP~U_U1!$n_zyN`2g0$hNMG_wL`1cHC_;mnN z3yj$nuc?55fLpW=5vSna5FI~}F0Mq9k`$hxZ5Avu6j5ws_W-@s3T4kr%sQ3y<;#~H z>iPr8B@46v*rFr?#D#=B_m{fO4QM3%GO|qfZSZ-y^q8suc9XeG4hjw~V+Tk@m)ZuQ zopiqjCFYyO)yNSjqBFtQ-sFQE!ey1Agiy16V3k3Xn6&!#5|NsUc^?F)>NE47^02aE zC)%BQ$YJ4?6D~um2y#s&ZM582^!f8`pfk{ZfGQY4A^2U_$f((2n%5)rD<5?{L8hsd zr6sr1jnwSRh<$K&p#D&{1F%1fLeirMQ=6M4f6K@zDAH0>d#N5cFCc0l3iiwySg8fbeidDXG_meU;E(LI9ASb(h$U7ml>~`y-4vJ;4f>@O>gH ziym+M%+?n8tP>Q4(B!Uf-{h4;u5YnDjU>6B5*>PrHfcJ*r1||>b3})`Nl|fe5)DEg zZYBX&6gw$7nKS@$?g(H{Ps|b@LGxGF))HrwuqZ*n6EIApa@omK58Ir23VS7wf4G*7#eYkhrXxK zFGwlIW7jRWd^$)a;$8@vSLI&x+qbHTv<$ufJXb{#43DA+#@=O_{%ZFA3qJpVM>3~z z%KNr~0TrMIU0t&3$$-geS*ee+9=0sSDHlK)Q)!3d1BI1TBpp_Of&xbp;?X%1uko|j zK0P0QB`D$j-$KD6i{HZeV|0X#YNKp#Z>xgg#wt$m!bwvzdp72Qe@( z&~>ZA5kxqo777t5DdvqEyqFKD-d0p_@dfQ3{h0)N1VCOQo^#L2+8Rh>tci+!SJ>@$ zC%BK~<&_)in69rRKACo)S_^iSQ2`ty(N*LJjq-;B&%Io{D-#tIOk?$^w zU_QDB^qwuSwiXM_ATaeQZ{OZuA7S83{s#pU%73cAj-g=_SlM8#0A$;b<>MJju?>Ja zO~n%us;A|2++JHFxqTaD0Rj{Xkvaa4a^rtc!`{Aq3uX|c#QwoS8jr;z=xsr-AsLqH z&Ye5N#N7$p7{kyKGchq~d_@ud$#%pX{9CAzSEu_HpjG|J z0xUko|1IR(#h#-IG0!6)#|uS3@qxC4D~^DtSMWGJDL$SdNKM-eOw*hs4aW)c=dY>$ z&n!T(HhjW{GBE9Kr+9FIuC8D?2IQ~I7%zB^&~Ds}J?I3Dr~YuM&3`qbw);KyJj8P< zMK+MtcUrfc#tU!PC^1}l7K$Qk;r4XRJwQ*W>;T>Mm6gNrkmKW^WgH>kbxZa3fgr;s z**|-R($m{J-R#Zh|I4adQ(b);nyv5+U?I;O9f1irg6MH_Y6HRyrYN)=-pILbj51jV z&D{b}io?d=oySnrgD5(It(lsdii)}kxO0B=#}h1Zu<5n)Np9Di_Z4fGOyRHiBO9Uc zbz~y+jUsWT_;vTL$&at5C=2^u_f#{cs;zKq__GOMQ@{rI@$%~79$eb@(q?{EB5Y0M zYh~0Ci(CTN(iZxG-d=Kk+gRu>r%n?GfJOKXj0pehs|ODr5c}$AX^jJ>Q3}}Qf|pV6 zXpD&&3Myo2$($$IePc8aw&Wsk8G;gv?wv&eX5_c!XfmEa)_~lc9A1YhZc$NDcv1_C zWsn0YDJcN{(0E4xSku7$D=37Gi>ozxYy*%WaEM4+$qqF95xuz7`z%xcOh~e}j~4X>JC}miVK@nF1+*L}3okFP3-Gyt%OQ|O-sEEl@{?qlkp!Sx4Rq(Z znR0&fOK6r7shLGk0@`o=tW~yET!#0eV`B2HegN5`yYF)N-_rYTMRh=6fH2Ns++9n_ zSpolELu?gP0@Bf%uQcl%wMiFz{@G!=8rpgA9NVByfC+1edLo38jZFvHZ;)HI580V{y%=Bcw(D;pb9_(2kqwVfT#*456?TPPQYV`{Kg_wVBc zfTS+G0YeDT?Y5DY{sMt}4~)J~<<5<;2FQs9a|(W^IiqQuXb*@RFo&VuvCq7YE#8We zxGFsLKRZ4?27wZBhRL$=jSZ>jSEDGLF!yZJ@IyaPZ)@$&Xo+$REwfavY*&7rV; z_N>gPk+2<}5payX8_ZDE3>IrCdLRxEbP=;AG^J%_CeUI5BcTqBPCFIqE4UkMUUvZf zQ_*Fx=x{n!13@WsgXD%71yv0VncBmqFSE0=KuRBH2;XiGyUmbWG6Gg18e%9*g7mMC zIZ_S1Ylju}IoeDlQlkqF|3+|&i1_@E zzlY*eZ^E-c161_IrX_UB92_n-#tI0({Qmvh6J9`iQ&OgX_;45Ury~jIM3euupPt?nkQ-Qf zpd#;q_UKGae1j%CalLgp<%WFt`sRT5WX-;z^3^i32ZR2|5XSkQBgy!AmChp z8E^~X8riFwlyhOK2Wx_4_sHkRO$Tk z_%(vz$esTb>IFu(c8-^B&4eq1l5)C-o1L; zksPq2bACeSxe^xZ0Q(8K_Ns31P5jVhsF^D(37MIf02aBqjQL*Ao`K#5#{OQ^)6v$} z*2_zH>{s4`E%6525;U3~dLJ+vVv`_{b1!^+>NcspX8?j`);?@=?XS^n2Gf}Ghp(e4 zg}{Il@!a9CzKBgt)d!xjdgm?}iPG>29)mr<0}xb3TH5-125T#$Wv#~19gc^Pvx+!L zU>HCT8!nc+j2=7{O3%vdd7xI;IZV^%zlK>86_u#;^mImQ<6ISHW@hL_gYJPbC@i{a zt!S7=2qXLq2?7$iyIJRM?oumMDQG?M;6bIewzXxk4uFsnByMI}Mb2OZKZdSB>^zHz zGy;SrNHy632VzBM;S6NU3kFqm)UlNm6ixw!K~{1WOTjFbon0|lu=)A)PS)w$YbsNygaLC&r)M!?-ok|ZB|u%3(~Nr-5?dr%vB*tQ68RskbDwUm2oL4 zENdKmHerMu|Fh*|iwD}<7rG-!%_$t_TVH*RB9{rdX=ZoM@)Y18=i^7{D#!{z(eAIZ z_y%oYHBk>TNCWNYHP$6b1IO3I;B zKKWGKF%Sez(By!;wHA$4;-IHr0xItyFNIY^;N-LmY{Yue_zT!MoAzJ=09S+tlLMwk zxVI1Ts-~7(6@>T$Df#W|R|7r0NyKtgSr)XNJx74t}T`4B@TPIxB{)fN?WAIto_)D+o>ClMn}R zt*)-3z!Go^Ag|~1tt}rvT7dKbEvpw5Pav%~4*D3Xj_w{aWb9nCca6%@?JtYYY!4GO z<>c}}OYnxv;|x%Vuc@te-AuK*Vob!q#Rl$})Yf(l!*`vXo&BXHNm*I6|6SKW=YTo7 z2~)wO2{c}LEWWO9Y_L8w{Xzo3b^G>6{$on@KW=w4sNJ`wc=-4<$EO1W1Hn7h)}9E# zql~cYTyzG+zMr-Jp}6>bbAp`*4@`U^+u^&SqD{b9dRaqoTwPqMDl22>P1L(V@)+yt zdO{-}@}^HJ8~X89+UIDI0M@Lsxxj_DY zkuLTDH?Q3TYiYd95GmIkj4lX1fVCtM?~mrZ`HK(Bjjnc-jIa9U=e$sY)i| zZVQIU_SV+G;GkS|1JG3%@dH%ygT@^c$mOLaz=>+$&oJc10nQ~eht@0IF#`~v7BLOGd-82}ZP0oX{OneOiHaO+^W{(+BR zyL-yE1zHJ4Q$UK^K<)r9w*ao$?7E6G^BR78I@BEm_bZm*>@f5a02NSK`fx*V>oASw zbGS~|9ZLa5J2)#lGxfXh%h+{F!TH|=b}N=s_7IxU-eON395`lPYncz+{Q}$@s0@%K zBj`N<#oN97cLML==H@Ou{RKl_$@dLOC@DqZ1|sI83BGVbFBE8ldZN0t0`bQ%qy_d3 zBy!yeKNxrW`*GXi*mMy{jRDC8#i5!StEko0&Fy4sIzBeG9Ux-gs~NtP^kDZr%Y7y` zekCl{3ZUs=vvOms^c?~nfq_<-mJ0Xga3CQa$S@G4OSlLEd$T{1J%Rf zn+6OG)*&MXc3HDP)k>6vo)tNz(d7ZX85o(N6+~J~DK$`M!RyMQ2uaj}<}EmgAhf6O zWpg==KN~f9lmT^gz@*pk@DL2h$e^l2yS=geE#^W((F)oBOiW2m)-^Mu0MNJDLhP$T7ADP4Lm@dy7FS$y_R!*(sm7sqnwe&SsRk-h(n14!-&1q|NFEp{u*Q zr6{^I5tN*q=9GwPEnS_Pe0((^5+k2EgWB!t>H?S+dGLUhqqxrsKpG|qiJQY=s1w@# zmV_}x5Wv$u{B$?12?9rTv@J21^kl)3^G1q!2q(DvcWG%92$IPs48%5Yv({b&G2i}O zU5X<1BZtR06zC1KLC$JtZB2+-+u2jf7kAgFZ4r?<8otV1lMr2|3cqb}2u zZ+A#a&)tL*T{r2eckw}VGR}LZy^bzbO3vIRC~*f*o&@IUm_>xwe6Fgi)6vzn5yjCc z<9V@HMBzvLb$K5U>;zg*@L86lqr*)?-?Of>f?mJokdx_Clfq5{S6jWCg;^DfojX32 zFs%9Wx{m~`(8U85{`Bcnb4akNXYUSzCv9U9MwgM!wLKy=? z5o+7gk^SKxOurF!HMLK6FC4#T_({eunP-T+N#)azj!}37HyRf=(iMIu^d|Yz!onV` zJF=Ys39LIXrpR;zm<0?_B~wJZH}o@m4HQ=x-GCwh*?aIMVS`X}Fzez8gcAVU)Z3h{ z&QNDpX*;{#oj?q|dVI0DPxVe?$J=ND?UG8BY?yEGT`ROpek^rI5}(Ox6m0_%0RX}9 zlBFm?oR`>BXcNw;hw(wyL!ATQP2QHoqLUz@h0MEf!wOIRjWHx^9D zfKdXCOUUGK7Lkt8@p0&A6$R2N^}&4oAq)X?8P-K@OR`k~F@VAdo|DI2*{4vO05FcX zruowPRaWdSeWGY%pj>eCcOCs<5f2OT4_+hG!QmM1pb&Qc08NExXB%U%kZsp*m{GK{dC&zS|?yY*KkIKos25+hKt8dfbGx?psD(}fW2egQQ zc~RL1XQ!uNE`EiEI4q=@l;6Wg(dWB~S+xS3CLx9T;)CfQt(2Sn@DK&6W+U_%7>c$w@clzg<_Cyrp(Iah#skHaA~_4mC6m zjf|Dw4jW3Z%1eyH3=E7vjsWL`9uhK0axUb)!?dYB7IQa z;ri>BCrTdvm&8I&(&N>JAhb`8kD+HHbbWvE?{BZak8ZmV7QsY@f;Munva+%gz&LVS zGOSt8z`*0rkHNvg=xs^a>QA3wT6hMmtC`nfU8Un)%lkyfUH(^6-`;xd=U95q3Zr94 zDJxt4Lw4SVzDC2@jNT5-f)#4!B7#+=N*eHNp~VLv12?Vo`fS4J%wI~^dcZS;zU@Kr zd+30{;8*50i!5-l&(Jf4GBAZ7tgt!4;Qr^>Bpb>(nBt6CYaRZ|UQ5AS77V<(>quoL zBrH5NF>%xr$B;Kf1M{^IfFP2mryp=|sB~1_wgP!$X=8Kpr=sn@qJ@Kl1Km4r({@BY z?(0|_5w{!o_}7Vqzgn7d6AD+1j5{uVoE_hP+VbvI@aV|c7}|#lB!DW(x?t7_9z7Pk=qqi2DGt>Ox`^LD@rqSnl+= zo2UnK^}Lff&_;yLBwT$)dr4X(n77PN_pVu)M7&)aokk09`<)kA8hVF(Mv^Vyg`ZI0 z--Y4;9_Afp6=X{Uh;J8v4K%G=tH|JZh?~2+)*5YVq5(Jn5D1EwG8+9u@&&4t_tdVY zvV-_$sfb5dmKB{tg<8GgsiE+UR$ z;$(}*&3$FKL8_<)^cX}P6b^Gy0_l~!LacaZGZ5Iue0;%g5{;F#q&Yd6oUrFxI>!ol z!(w}a=m|@KJpgOqn*n~`2y6}p^ioc0tj{bwTuqAoGYHVZjb zT4GZONT2NN9d)1VGJUf!myArgL$CDc(bp6n3svpO2TqNRWDlwS9Vc!X7%q39eR9yx zeko{+@SBK?zsK&*PA?ImPzjZ!J?d5_6fa-{j8x}*FpdGag~GzYA?CgwYsA1P8l_@XD)cT zVvf@OD`nC$${yR>w@H|*pS)~rXh?9#5W`MmD$M}02JMPFl3+ir4P}{><6fUG-@1SQ zK7#*aEX&iUG^&|_@plFWd0q;llZNZ6zitsf-jUNFG^j-lSTgtWNs2PoW&?hP?5INa z^e6)xO=QhCWM{(luTsg{sPLyrOOgJFW;LX14D}evM6d?&9Qe3etzq- za+G(TcivsFe zpf;qIE@(C*D1d-}rnoOIYET0cwcrt<-_rvlUs_x-v=$4JzLy5oO{TAn{El2-+*hnr zecu&=XDU>626O2!?gZ0{a)}hDu*pRwC8QuVO7%4(>_K1BZFAWGev9~BG??p{;bLP? z*V-o+*1&Q@Q@?zG78G3x%z7!j@^*DSfFS^Alld=AYOzYVx&1|+)_T>*dwPg1B_-@j zHuN5Dp1b{n6dB(Q@s~LR*+C$4MB&`p&M$+<>2F`1;Jgheb&JL{Dt?z2&y?g(b&&GL^h|^eFedIbrL%W-+&GgXr zCN2K+=Pp8KNcbcV#m~0aB_ds3RW3Egb#n3!Q6>5VbH@&$l5Ej3p$n_p8e2*-X!36_ zgeZ*HR8;o*xf(q1AUyO{D;1tWnnQdZfR}-sI9Xe>3)dg4P5>tnlrjp`zu27-7;Atc zbf1I6GJlHy*=Sd1r_5)=aNQD}`||Sg>Na_QTK;7p9=angQ8xT)zN0-wC6T=U46Om( z@{;nAmAY22VZHMTmTK0cjV0~6Ix=wz2KgMF2iF=Ro?lmbO+|Qg%f5V&vYk{FMA7yB ze|lI7a%Cnla*;}FhZCjYd^W>n>AqR(n+ESpGezFqH&hB~QT`27lJ->QYabUI8%{eU zck5r=sRR?q8ZiACk5>C0-Nya_g%&xrlbHAdkka+VU21Wk1lHv_h^Gj2ZkSPmVK}Xc zh`kvUiD;@>Z^?w3Z)y<{-DSl# zGlTOAeg7a?_x`-pl~q7qVdKe@MVj)Tla2cn;htmZWI%x?rl&VKFMa`wUBF@L$-5G0 zB_weg<4DTMS;1HwF?M@TPa%{8V)AlXwu)P{&P(X{RFYZ=d#o}t!lD+3wo^07;$6i? z?(PeJaOLIqyu6NY8rDhvh;Pk{%gV}n_s-nf`YXs)m`?l9{5Mi@^~-p&Mw!BHLbr4su6f!9{=Va^1v??Sz3}qVBJi3 z*wOd>`wde>!&PMw7ON!xFimVZqsk3}Jts2l5U6F)AOsHW0L@S^D`8Al_~mgaSRtp% zpxQCrczNY zETZJ!9jUe=6DIiaqq@0`2)sammLq7vLD{OL!il?;Kc4!TP_1%RxwO)On|ZVInih1zp%r=F#G4R!7ha; z#M>&9j3wTu!7|+#IRJ+Mw;g(D(5-d`Sq@e$wDOU{5RTM5?)RaMPfPm@y)Xg$AC^{D zD3zZ+CG6pee3B_XXf{iifZl_#Y*Smg(-gN$B!RtYMPTG z-@?(9|D-z_lb$wonkL|;D1{scV81suH+PmRh%{?`ucEFlJGh>#t^@}J&<;e!HFgAL z7lk*A`Cdk(3yn0@OJ}KeA$4haxgWSv;F$-iq#}m#kp5L(T@e4f;LbBwpBjGv+c{9cSuwAjXv6f1D5ePCXOrkH?RCZRP0$A! znLHjG6awd2%Un;JV|z80pv`zXe>Fn3Ko!7c!tv_W#Ov)PF0j=aE(kd^Tws(7t!1*NZ$+^ z8F1zNyhXup3k{*#KGF0@Ejswnv9U2qIBuLG=rnhio8an-<<~9k3Yw5xp*1x<+J91+ zc#lwuBFA&lb^`?4udkkn`;(wJE!_BU`QxqxZ*S(xKl9vSu6=`paFFU=034@F zuqWg%`Uz7iXqfa&d6u3XsHMj2LD?CjF8>w8tgk!2v_jSNSvWgT!Cl^g5$BDKM$g@+ z&_Lm}3AVGh2Y1*XoNwdL?r}cSm_-yY+4XxMRdcOqTnim@xhIY{N$&%JvL)pZyhfMb|A~m>240 zI-QUT#eYLp{5dHGyVbF~G)@?Qfy8gW^Avk($W`S4dHf5KuaX)=^}QHt0kje5LT`2U zm#qAb3Auq!8&Wc^xoasak9m1c$ASe#jI~39go9Df7lyw3#9n5w#2j$8m)?A|(8Veo zYKj#wUsc4#nNIh5`-5eS{?|Ti(-MzMjP~>-5gng5Z{FAur_SZ`qbrARZqNynwfIy~ z-$Arb)G~J9;K@01u0OBiEyTI*j%V9CvOoQ|+;iLaio>^93hgF2s+t9(Lx zZU;Bod3@Dxu>{XFAB8kv<{6PN42uSXa@#E-ivv^OG^3ygdZfJfuW&p zw26J#KwhrtmY&gPM&FDgd=WdM&+cZ=6^ep4m;OE)puQ!6Amv^loBibywf!MMmHE&$ zTbnXMFQG+ANl~#1S^*%HNJuoL0g(p#`poUpSPGz4?p$wXiXZy%6Yhvuh%v2EZ}8mhsO&9G5#-oeZ!a95vjVGl045o~e8~YxZ}tAM+P8|f zrSF;Vet}7FB^DLk?{W=-15WKTGitfVwnIl9lr-1*MTI0wz*qsUYL+0HYp|-Jo}R3n zoch~5Zng;TfyK^HV3QmP#wftK@?cb#;O}M%LBO}pwZZj~<+iP2v(7H@mwRV?s##xS z=@MC+P}@6)+L&s8%=KV*TivxfOJ{x5OegqTnFtb%yXbUSwH?l)6SyUV+7|@Ln>Gwl)&= zUrljOD8>s`QRu$mm%T9HNDHAxsDA0jLy@_AX#>Xc zThlMW?=*5YH$j0pIz~iG8VIyg2NFm`VG>~JDpgM9g`r1okdO!vboKRZ!fino;DiOU zq!+T>qY0h?=b3KE*#US zl%wpBQR&BEAdW2pGeCiDF=77J_u-5)a&+85<~2T*t+h2A3$Y&JWMwKYiCkDvI=<8U z-`0}98Z))UinF2)Yi7+!4(MM+g&8HbzojnTzb#^m=^4?fMJ|$!Uu;K&g()4^lp1M0 z*$UlH>p|PYJ|ZI&j zID{w^=iRxds*=iUHO;&0{g>NbN72K|E~3ekeO`?bbJo(XgGlm{<3<&=YHfalh+dA4 zV?J?aN%n>BKvs;z^>*=sGxsYIK}XrdilI>|CsK<+-cs~R()iDGWDT5?_h6v$9~hnY z4L+@RA4kws4EN!oym^B5gfxpQ$A8dYbdQ1|Uvy{o(Je&lUUjDh$+8x*GX;K})+QsI zCzv*`V7NZ5vAvJl15D@PLQx1gWj6uvMm$#h9s6RyvNH29iNQ4$=!tsmrx6~sAwq$ z=P77u#eIZ%X>LubQyTH&TECVTIy#EFiHX`@Y5kk|xqDik>PV>i`8`B%CckVM7<>0@ zG&dZWz<6?h1_e&4YMON6D_I6prn|4c$>hbNT(&k`+{Qx`W^)siZ||uT4nD~cd}PNK zRg(>A!K@wUvPft)I&Xrg+f4k0LXVQ4qAJj}YJRdKC8w0R$WaG_5i3mW?2*0Y4k(fop2r+W z-s3pF{ykgfSIO5xQ_>7e!qS=bxTv4ZpHf69iIPn*Ffo%Gr~ZMINQp+yGBsX+lyJq4 z?3use?g{rZZsn1_yv-_HA4q>CHGxu&N~7tQ)*~9`a@=5ou1!;M)|aT)lD3_)vT(ik z4aJLhhEuqaLb;3IF?=#}Z;ws{Whw?+bU&S5nsH((^w!>CSKF$x$@EW}1?SH-lYCl=4>jsVE+Ir4u4TV_vkl}3LM-J797l!5lTwj>r1ZZL~nOG zEU7JPD3f?AJC|LiT4`$#r>CatPo}E1ixeNCF04fp4|wPXQ-9SXCW>t9!fl1xa&w20 zTaA*K?Y(LknGxsgY`d1}`0&Eo@20}yI%`pu)Wrayn;q#qn38vmSUb$+CW@0DC&1rD zp;|z#OzbV^k8LBax!_5wW^X;yLzP8i;Rr6UQCwXwUgZ4jy+Ck_3K4z#PL!Dn3itjj zLHoF)LTCr8aKE^cM)Y86Q0Oh?I%8ueG^eSkNBBm!dmMtZ|J)n55lY!qye+N=hkbCo zaMalr7s&)mnTKPhpNE~sJ8uNEO+_nB+tOj~p*o^wkaAV}i6?O;_6HFeJ>S7IxcSKT zAwMEz;SbYc$(sb)rx=pBjgDBR)+ztKL@J#UU=zaucSc5qxvM3)Olr|h?wOB|tZvf2 z_gsE-2`vF_%LjHaj+V#9_yfgXK+2szjYwvdKSb)GJtF}RR9@BzM(-TNzhfv{L_~$W zO{&5#$!I>A2VvD~YaNr4zC<}~yY5`*AP^;~nuQ6FudA-liBFGtFluisI#Aq1v86lV zxFOIj+RK#{B@RnZdt5P6&1AcRIOBndkgzbU@N^-RFW0~P{0?mk;8-#WhfzaiV7CF# z6X_6Oi>tJi+3?JM%x@5u@qbjzK%M*@{T0 z)%r=QKXbBL7yk*nj7|BU$IP=AiO1Q}xV5shzW<%EOFEO+!AzDI79Z#0FgtbiOO%MH{Rc_ClT2EC+7gsa zXuOs9?wh}W*_es7RpcBg^jKcJ9e9)T;CqXtAwq-YVR%u?zFJ}h+aT7hrn{W@#t1L- zADkS^bf(4S$OA^TG1`a=6ksqgMWlI)fbN#SlNe#bZw!rZ*l=2lW7BQXeo9OuwW7=)To ztc;)&AaC^?j`VJz^#8w@dhd9u`~QFZ*rRM2A$#wUm5`B<8JT6zNQfe2WUnM-Mo2=X zv?L-k$!G|vgvcmLA(G$yT<_oKcKe<`uG@9%>f)T&d5*{9{NXA>@&ORe^W`?Y)$#V6Vs;{N4@jRTp}X*PKP~%Kd5WS zHeT!UY9RSV?! zM=nrkM2qj9*wiCeaAz1qXr`}h)H)^--iF-t)? z2?h^_FKzAZ71mR%PC$~v!@}?fu5ED?m~s3~&8kT_y}FvXXHPNJ{5&;7_wdc9HcXap z-_-Nd=jGHiMsX$4Gi6jIer$CUexNuNko-F-S1I-QDV>PGe@4f;C)j^IBt7ESXmL+Z zn=OY#>6vY`-E*3|&mVvNn%r@CpT3k~;^8%F!8UNrP6Y)SnVNat|IZSb@&YpT@_J!gv6_8B+DRd*P1?{vWM=%s)f+Sft#hp(ue|Tj4T<{mic!@$`7FUYE1Z7D!EowDK_k!c z3+^-K$>D3qQpL>sem>jj^@R3)7hjH#>N6XOHU%@|auxP?gRmy*_xJtIe14XI(F)Mq z@Q4U+Pft*G@z(vu$)FyFj}if74Axz_%}*`R&wxFgu!9}nI<2%<&C#WyaqQMZEQH?+ z?BIGk4*CuJExVQZp-Dbef^hU{COwbC#ms62PEOTxkpgA3+Pf)4IHI$orA1B!=}_KE zurSnj_e(#XloiZSvETScZ>MfF|Em0y)1#^M-yTy;EvtqKUFWIfCD?ck{^HulQF*Se_ z=QF=kA+&zCvcHcv@dfP}qz6;LW#2Fpc3&piMZh#9hxJ6h7;`G$7W?p4LTIP(nY`Q} zfgPs`m78^x<({9KApBd?0t{NrZ9l;$R~Vw_d1th~q5Y=w5!K=t7SjCg^G5YC7w?$} zbe?Zi%_kfqp0=^Rraxjs^gQgIePVJX46n?-`tc(&fc?Oc_`s`{Fz^!m?{(MJ;)rol z7i;n3RM$RT{ps)R&rYb?)S6zkrnqtA?-SGgz9&(5$o~WrN3x_XVM1*+>RG61PIIhTY7*7y#fkLy52H(R zlnh*~?!>wiP918e4?OU#M$00!TaZIWQv9eUwaRdNfxiY}WWs86y-<>p5G~TC9<@7q zOJ6KgJyFEY+H=I^TW9&Mk+u(AIQWy~9ce~A$S#FRv1M|D7?BVjuAp_bg(Kj)n#v36 z9Sq%1!i(>;Xi7=xs07pLDNAO79ld$fJqZE?>B>KD!O}Y# ze(3WLCQkn)X{C?({Zsh+Coq|WbZ-dy#0jrHrmh>Iu_`@=FNHfcsq4wG5DyyHW zR&pzc)7hk5PHc_5s8u9r**OZhaQA1^iObOE<+&Um@%5XU)L-A2AseJrr#aq#&wzR} z{s%$H_2jx^TyC865mxb3d6w?dt7OLNnJNcp=aTi>A|`mt7zokPg)TH?ru7|HTJIL$ z(k8TiGx$Yc-`93*jBq&rU}og!FS&HTsN{I5C_f(*j1=D0m&AY>BEpm?oO(Bx@+TVG9T9ku^-;dbuolT zkK;N8crq(1xPDa!s}UX^^0b{Lai5TRo;)wamPR*X#LuoxTPW3ScKBlCHocXVkSJM9 zom5;L-@TjS?LpTlK9Y*Xr!!R9hHD(Typ{I7w$+|To&256`C%b3=@?(P)s4OXwl0TA zg%V8bs}*u$Ubni&i03#{`;&IXj3-=Dm%ZWn{JWZY-{bg;&o0Eg%)3+HT47L}6cE6n zc{Hry(A6-JOvNc&qv!v9FwK=^$*7xfCa4i!W-U_rS=yZyHa;A&I-NtZvL-t_=QbgE zRVC$Upw3CSkA;%Q5t_4;N@Je4-tTqd|M!aIkdD=?%~Ji$$c;pr?ecvwqpI8tQJ&Nd znv{~#FNMWZR$RV0^p!|%R?JRvb5JxoI>#I2^y zH^(8-turJ)a$47)WcuR)Z@Qyv?y-!spRx+n@;L1s+Y34Z*1Qb&#J*s6rEMi!Rcb5m zZJ1P0-L^P(r;0ZqJ7ea|-3hDGe(aDpBp9<(WM+y<=>;qN`$HAA$xK@vP_0X210DuO zOK8M%AlQHp1PGa60|B-2^z;l3{f!A0WX=VJL`Atxl#JzFhQXQ-oab~t3q441XIjak zc%b&cJnoY95!-j{=L7ngn8`Gp$ljTb5GMF$%=9L-|C&>;9CTqeKKqc4gCHyGw!{6~ z=Qbg`w)`v@09IZ~InQk5f7-k?f%C#MiU0~JOWm3ejzQ10O>c$`^6BXjVxDT5)|1zo z3E80mg|-@UljErD^t&O6p@_-Jd4s7orfY8+yv_M3?If$N4VSM>P>eb7edSk`%zK*^ zMEcsK#`Z+d4YrlTd+)Q!%(|T8ElK0w%hJu;UZ#1DI;4w>V>)$;up{P{jE)YUtn46- zq)`pBk<|)`BK94MsFsFL(dHcnyN@oa}7>jqDQ- zWX|hwg*Ca+#kA))a|G<&5S}MnrfO6*Xoy28IYc`<&4d(=gkbr9mbQ(Gc#Vtk4rfJWZ%FD4|KMd?<*(WMDs4R+lw^0#Wu4>e>%upcr4{^ z|D&g@(TY<~@BES>4=wpEc+Zs4DLZ`IXV@RU2Bd{Gl#78mMm5YsKa@AJ=&$#466&d& zKUAyMNIM2LR(4OQOD$zY$N#v`=$*0K^{Ykyqw(f=)~8vGabLcE1>jYNIs!QfcJ;l zjvZ-4E?9_D&>h|#`8-P!J-<5YeyHlI3*fwY9$)p3q_}3IdV3_E?kdO1PM%c06KU>i zgGcuK`I{lZWn96uO0Q0+w6IQpPD?wmzK`Oh!_-^GqiL-c1OwN1><e*jnimKo^VIUCdR9;sH&n*A_`

VhBY531lDmZb#u!>ZDTUY zE9XNUpYZX}%O7ub)v*$Nr_pv;`=jLuUB`AR|8MfMMW3gS-lZ;)rR8_0*j5d3-6QiX zd%r4`^=eX<+~{YqOD+_x!3=rThF-t9Ya9++$%iX|{2tSJ_PLksLXrjrMm;?*1hshQ z=91Gp>RpR3ydXP9lb{zu5?7XGRDTpEq9r9OKYxN4u$!5Aa&B()@$cISWB$spIf($E z3|i%OwtNv&Jx*!&FSLQl*&d`*Cz{$zVzF9w7a7$Zldmth1 z&$Dlzo)QgRo@y24=2Da;k6+mRJ-8D*&qJVvX|K$L{U9ae$tI=HWM8^O5-Gy|S%nb8 zcg_+5^o9BPpKHZ$^}OgHrhW~D1|(->6Vcn7rB|5DUpWRRW+t@8@BlM8?Flba zDD}~5tjO(HS!e*eysmIb3M_$rF_3Bel)KGwQI}+nQOs#)$M)_?t{6ANW3AP0np*}f z=bhHt=1AVN$?DaQ=P0HAYMZv6NR;5zBs)pn?78E619N_n%8&0n-Wnd%c2X@{8I}ft zR+*JT{YSJ@w@0Q~+1Nnnd3Y|$%<~0+a6HpXoApqkVCQ0frcwG7)M^4?)%JEju(t_i zAUtXeI5}XkfL;CKvQ=(XWhME9aI46#VR`~QkzNM3PyKuAM`9xMt81DEz0sG094stk zWfYCF6A=Wc3XbZ3a*KxL!uj5aZ=rwNbmUij6uJF)O$Z{!SChlv@W^XfTzGl3hZH&& z3ri4!0x0CHlAZ7Ag-o2Ayz_OQj=%wVvpy5PTlUt2!Jocl5MrRhwqgC;bCG6xXX$TgF57&I<>IV-t<=yJ@1UMo#Yex_OEAqK0DS$z9kvhm>f3!MHa|< zx;f}Vh+b#{Rq`>#;tc0cGt(Y+j;CZE-}6fnG&skj%*l7;Muv6D=__w zFF!&t2PS-h;u{6ZROaGicBeT7KURcmPM-)`WZU>TJhm!ZzPANPwFC6+C!uOE0u<341J>w-&bV9evVC|yhv%FC6^VvY8 zzphS|#>SA^t1oN0{DL0izd}u%q7$vLSWuD@63~>+jop`wfpQB|MRdGJp4!+ndO<^2 zUQRjz0uSu>R)7BN?WwLK9D`cS!Xhgr3La-QhM+ZG)O8L&*dOdByNQx|qFVXTBLsWB?Rn-L^3uUN>F?Mz7RWO~Z zIC#K_hR_n-{h{f}_uO)cgNwAoxS=8cYV>_w1z&vv^ppVUySlo73v5B|)zHuYHU4*K zc_BX2)z$r2S+{wxbY5_dYbwFDGwhWxqc0M%;vCBL1b9s&hpuSEGeecjK%NRSd-gQLmJVXRDvY z1N z(f+aF{{5)+WqzE6oZ#$X5bBj%4nH^4aTvrxDhO30P>6R#G6(c8FjPrO5i!XRL?Hs- z*(cH4d$cVri9Gv&4>jeQuK4~S>Y`-W)7PHPD(n$p#~pjscd+-s{)n)n-4n-Gv&0kM zC=~-D{FM6E>iE&TwER)kJ|R2VK`!AECGnKu@ej?SMRbIXjghCNA*#%6y{VT#^}Rv+ zCMo89(ePdj1W+c(MP1HFPtV_Bd#&`u=v_}ey$+B)F%KZJ;-Ivcn3%xA`8cy%BP{Un z;q2?zXQ3WB2?Gl++x4cTPB(~2yfFxdzV*qMQ`U_(*|q2IS6Fj}|M*Q_U$^)teb_EP zkw8$9tKP@$V0$}wUU$*t8M)Uut%3WUtu=eicNz|#x6@u@u{>5iWe`7(&Z0I8~xQ6X@j3U^e*=Q z^J~Bd@ia6tk_Jm`y62*zSKp(kO=YWqi{4=2<9UK7Otj>goSFg<4s9!Da4;iBtpWYF z(%!vb*80F1u%^bLD5W~MG23zBp(Dt2A$;|zx}>o#E~GILBj*@Cw>C*Q#g4YV$_`rh z>x(+}UM}I~o;|`ed8U?@p?;)RlV62TmrWn8ZQ3Ux!KHTL=+&X~t!H$s-X%WK=t_@e zxX$!=mudZann|3ezyIQwFP%kiHdCC(4}@FGj_TbNVPK z3A?q)CKz2D=GrP^$b_dl1Gi3bC}I87tXDL*>}tdL^=st&=Asa7 zX73TX>KpR93A`No${aMhB5m2Zxzbx%FTJAwuH(1JgHa)Rz4&J$G`Y`cGs-(IGX&o9 zSftEpqIw`4xW{EfIFiaF*5fm|DD~>H3#D@lhmi2ajD*Rjkv)!WS}YQTn7V6+wk@rN zxU;7(=5~(UDGp+*OYRczrGD3DY+_QZe4_BdgVUgwg@%SgmGcKCLIm8xFfOS3@=7wb zCSoQp#PkF;_up^!yC%2?IS9)v^@Ke%d)3b^q%^6A5eP0k`wpsdq%P&T3^Y4;ntJ>C zd0$LF7;K+gc|?uFKD+;Lr1srx+}iJP2W&!>@Ts)-KP$a%+@&AJ$Ju12uSE*z8|~zA zIUIUnYn@OlJH<$F`Nd(fXm?k$h2t&>^|>8n1j2h(ddf!*U*@v;=X1FzTUUfuNtag> z({}ue2r6cFC#jzv9y&q!(1SddEq7OX+xemDp@G}Zo}*a|o%wUi{5%)q`SM(NaEF5s z*7peP9NaP98)FJ62}$Zl7jZ*=nVGqDv@zQxhgF!=fy}WsN{-9mpv$u(JIMlfd^cFu zGL3XQzn9G5lNsW+6U2QA@2-JWf&ke0|`rj{BcNe3W%}%z8Wb^+#vOkin zUv8?x;CYwM4}(3dQcTM{bcFx#aigm-Ar{O5J&a~An`$}oNcP@sGu(;G5vLTkGyy(L zJ}3gEY}7)NXBr`W>-9_9dA6UKyU3U82 zDg8ay)>usSMcGN0K~bMZf_3{Y6b4pZ0*N}b`0KLb@7WUa<6YZ zj?R2^eC*fm*QX@aI6r@`thgGMO?NGYy6?b#!u&dbCHtI)?qcTr_X=SQWsC}KWlj3) zF(z?{3!#{RKktz}&$%mZ7&Z8&*4)`OBF~kyIdNL7E93z8Tp+oj+4uMP^2PGU=4Gm8 zCM-xpNDQy8lUMC!nPq-7nR4^!;kUwNKmYx-{+%WMdJuL8kl%s}{RNX~qQk-0dK}k8 zFhm>jvUm<2eIsg4)?i5*BaMCg$SFx%6Lt`xjIm0x^5c_oUZu}iy%v+D1%p!jHR4(+ z!vZ$CD6?Z{p0qqE+`p7NvArvrH2GN!gU=W%Z&*ndsiCkPTyCJ70+STl8waq%6BE0Z zx=}8`Mg>R_FG0k#=5&dEYWaMnYx`gool}dREB})x6JHJ0`D(`Yw7ZC_I(AY`MswY{ z=%f0#yG~h#{Bg=bpGC zfqOxe+RWU5z#oDT2;Y%WUbmD+N&Q4XWl( z<@!6G?E00?oNgC)t*(xnld}=BYIF&aID6N~ph=lUMKU>g_^IZ=Qz!B4M_P36-h9`% zFMHlW zXE9h~K(mh-INI^ksNPUk5X}JKXn=qzqHgU&(;DP~aHrCf)2PXVdl9IbVcY+r zt_(1;u&hk9k-=?gY%v(2Kev6@Yd}gaQ1s5u&JNRTynTBKjS>0^n2NW*=d_a=##}U< zK1QPb+5ZwL9j&}JN^LcC*)(jrMn=By zXJGNUU}L1@ZFciP{Z0FZ88}D43FgE7Ll)c5yEAH!SS90QYMuS%gRzszNz+tS78a!w zsSLb8F?e~U91p7Vkwm1ixie*>LrD1=#%zTx|A_2L(2BIX#>B~%BUXKnOBJH!qPJ)d z9h#mc(|%p08lHWtfMu7>GVpi1kcfogn?F)R^d?jPrB#U;2lw>2h+J1>%-loa_^eRo zpDq1-P($sjRQ_DT2bTN?|9Y>s zOTMW)TWN|eyU+3_TOaT$5KQCSVl6Rq8FPE|yWMn`$GqT2%8#4%%gP&axvwcsAfdn{ z$`?%YiCc5QL4QIkvY44{gioCEaeg+&*d?t4OwQqoD|$$ra9<9|vFaN=$di^25xaGi zB&NcE|3;C=(L0HoFHWkRR#*$+;Jq5faID~A^x!_S zfx+bo)nn6(e2h77u;sGC!ZGLQE#c&qLq9Cbu3x@>?_P-IP_%I${9m9=cZ735%nwT(^c^X{$Zc$X?Y>{V zkDgnUN7vWAOWTU2RFhwYeW3J=C=Y$%DVB27XvY^@9mfICL>xq8D#AK4f6n$@l;e)us+9W z3imw-{{MhSg6TaG^y%$AySaL^si_H&DC1xM#iUiJC3XKPasoOKUb zPMSQy2gOO8iXW3R*r+ErS;xi(hr7NG6(`+x`aEN5*7AFT1QMAIK822{-vQ>!Nk%WJm<+F)^7j;(+f{67Mpu|#=* zP;ImbIYF()Pk2(rF(j3XxdD7XeE2Y%%+c!F+83V`CBjJ5Ld z@bu*2?p<;{%2QgV#>Q`=Z?V@S-bHG3SY;;mfxl{TXgg@?4Q73=ik; zv;7)-_`ZwpbEA4v(t6KBo+_vJ@82&A+yI);h=_=*38IsDPCyLIjg28Xg#mDYaIFd) zXn=lD#CUatzQ#KQ2o(;T0p3YjnF-9SRSJg+Hl+T#d3PJtw?z6bOtZRp2qhblFNk`G z3M})45PHf68HUS8xy%kyCML=$P2ZD{km|T3TI?YyFzI(V+wDB1`33H)?6<@8YQ!cw zQr1_@Avk?2+0j)V(YenC-`d;vI+~;z5BUOQ+#+f;=c-M2%gfTZmUpJ z2)9 zCp2R7^Zm8$?@#!>7#ll_5B2PmdBx4G+KU&TKFtzkkHF3X9|ou_$?}gM@+vCPaI-2P zLs{bj8u-){nYNSDIiR}a<(1Vn_(EV;nEP)?r1#O9B&-jc#2kNxyLR#Sxput{bdw+N z>C(OU3MD=+hk2=^Gy4Lr&BhRDmag=l!LI=n0vx1>6C*qrD*(V*MJ)@23ID{I1eARR zP=5g#oDj*!qEgDk9srC5{J#0;&qez9nymYK^9Ae+3MOv)y@TNqCVnqIRiE=FtM6_3 zU67(HJkVXzy7-BHVxY+I$mi>N83_~~9)yXlh`)lBso$C7>^_y^r$?MU8{G62sfT~z zy^T0DNHovFxMk%4pd#cF0PMX)n_Vt(`QpX4DD#x6jo+>(UUIGkUX}yq2O&IO1}>MM zKF)c1(~OIne42!Cqm^Ugq5jlgL22m|LYb0p#M)jDLNQ$|-+ahU(1Wc}5vFu->+8X^ z19=88PCmu%{=BCLURao5eC+QxL#~BOJjw>bzJ1(kqy$S#LqqM1(~`l_GDq$?+*^g5 z4klJLuU`CJS+TFGGG1GHLCDJ0H#FS(*vw1gb2{nd5J?K3|il@EjR) zYa=Br|BOr9G5v)?-SOt)NbHnwZ8@84VhPWXj~K1b8*1G|J`HZd->nzs^&TGiJ8s>5 zMrT@?Vhk>2%%75Jq1~<)tS9kNSeTh5mI{wVSY3DfVmv)PvEp64kLu#LJ>kD4hU-43 zV-7sr`CxK#5_&>JbwLzoUv|fmoS33IItsE_QDGr7O)C*Wg+6u3ssHZUt2|lfTi34X z`?2L6RA}pc@gf2p07`dwz1C`sAjk5fij+GLsqyAK4g44Q4#oj4xq8+0t${6ZmJ#<} zt#2`Q;(L6VP65+*+Lm(vU{yvtXj>2s)KlV;>jpFc_u-z}J_4Gj-h z(d3b1Itp@YlEZm*<+L1-q^i>&2B13oMDZ<2(vss+}R;Eco zBJ^)i-daPzquo%eUX5uk20VDMLOj&MG#kHlubUBCy|x{ug#g>0{PIfYi>HXKQ2yn>b{?=ulS=I)IEKDFwy>wvq4&T zk)_tX@8#9%+z5#j&PCn*?8i;vH*z%0n#au@eSSy4JTGqOyNk7 z^tCffVddh&oI{KE#tmwQq{i^KvT!Ftx9mnqnmWH|@Bgunv#7{@>LAHW-98+3W~G|2 zyW}c#N!cqboL?9`#=pM#n!NTnU^GO16?eK}B#_s$$XbC80V!_4CMwC8PAWCk?7w=G z_plY&!`X}^gHY$ah!Snv;`#ZNsmgTfUf9AQiKb@t{PC7`*W=Z%@=BOvA}-4bk%Qq< z3gIDhu!cZpU$iGkE=ac$dp$hQdSn(v!5S2_n6k0-hm3!O!AjVgnd&KX*`XhSFc{cswiK!_49SyqG zy-_+jb}S|3F*Y{KD`YXJW|ya^^!NmZFh~dv3|#*Gy9D_-7cW}k-bm?abp`+xa^}qK zucHvVz?4BR|A!%ERW#=}w}U_4^%acNlW0XxZbd+_`?;N_V`A!j)TZi`xK(|m+R}9> zb4wt(Z)wqVCautWjfo(va>Qx%NlZ=3%H#S>{;tO^2PSLlm17cct*nf3_wM7qzN6qP z;r@Y%^u6P6jq7&Er$bJTbi-Zy-@}^Tl~R|+6b37})^McVzjx2DTjz-FRF~XdeIGGG zSeSK*%eBf%!o<`k!!zGo+hP^Jk0Vy@&AdN00>*3i=~J0~VKoQe4*?zuLeGo#ac)tw z|M8F{bVaVi2!OKe>QzfSyGL-MfW{9Px02tmNy{W#9UK>QcGjDPp_{?1{j!w3fV|4_ zgaK#`VWlxL5{6M;rTf+6{~a3%i2{3fWpLSsArl#a#3V7uKWVx5!NfEnfg*p^#leA^ zP9JW@T9W!S7l;I-$6-vPqh$-u5;`JnKV=)#>EV1+XX$#TW>r8?5cfR`BcnEp)D`*7 z0pH8acii1bd3c^gB$aBx-o>V_dbtN}KG6r%Vsn>VcsR#CHsm;flJ|FO=t;P=xj1Eh z6U#lxCmrzNsi|52Nuj1jy`#O-2p7>26dO={G8bHy$av{>>XVgqiGXkdr{cuoPC^oc z`=4Oy>$k!DeiU(8@#8}V0M71*Cy7>0sJaxtuPPe%J@0i}v7jVQBE)5qXdag4``! z``MXslcJK6W^ti&%nFLWTMvGw{CFIkS|b=hQd8;9SPZo3+`qr}`d_uK7O8aCyFLn` zA!uljUxDxN>cT;fPc7@4C)>;njPl{q2|Nn9O3r2b~g5iIj7LdeqV-I+o=xpfg=B=w2d!Ot%U>0S>;GMs@m=HlYmkU6*A^i@(0)vU5Cd zUvs?zlK^PD|pg=>KA*kL3)C^If`-l`UAAAIP@0*J+!V^UryioXmh4u z?^{ge;5d9xxM^;I4@8u+%M&DuKJZ5s`}?e{LkH+90m2HDZTYaZ8NQojg1+QCW?)!N z$Oc%El=ycX=!9d{gU5pfMHNOYm6d$545H?4LjtjV*(G$RPRYF;XWfNqy{YNBE88g6 z;q$w>abNl2#ZDwzui`oMJkZ1hd}w;<;R9ACDOw-Tg!UwoiTNWQ9@?g+;VwM()^;a! zjO$?=+_w`MQLuCj6O%E1q4eee?r!8}U*}X4=2K8W%k};Npu{9?W+`Q^2M@yjauDpK zxc4Ond|21o5sKZ?-Dg_>lbjMli4drir~NJr|?LP_WkyZ%Uzk@bLW0gOM8F#}C|giqw4Cph!xpI(4LW{`E!Wn`>nMExz6Zc+1C3>}_NJy}1;IVj1}z@Rt+dq3*00 zzA5j+C?JR3#fqpiy6UKMiFO-rKX;?(y%H#z&2G^83d^R{0JgDcysvYh; zoE5VB_YbQP424o}ObO8UrWQJ1H!+FNpi507DT|6&-(*>kFdc`DE!yWG;G(#@BZnW# zUUxZZ$<$xmR;-5IDX%l8KT;Qu#yZfevZk`G?g^+hkDtUBGgH8S6>KU|j@Eb@3tOrf zUag5)+kO&M7?^UnX7vC0EqU<5K`#-4nB-I+=bL46R$)pzDUg0zD*Qa(ud6R&2npT!Al|h^82D4=7jr)nrq|F|4}4ZGU{VmrE=$lhrfq2{i|(|@ zPJQq5t)HinQ;{2~Qz?mp4p8l++`_v7pJAI~r6_eW1+JI?6Y!}GsSaO7_J?xO*4E~k zIQhV|n(nUhRh7FoxAekPy%#4*$M_Ha+CowVr~@#{5#dQ*pBrU4F-9O1y(ATZ0`O9% zVLSjz=3{6<;EA>;va!a(7M}aRmOhn+u$G(IvNuPZ0%c-&-Wr=?EucT_Z&;nvvD$_s zN!i)VYx_HkV4ey8LVv8~O0pY_4SBjswjqH_%%nEC+%{B0#2<}|dwh*m*kZiq`*kyZ z(WLH6<4?C2-109nMMlOC={`mU2JGslKA;@ExKy=P2C{ROI)vMT? z_IX=}x3e$UJ>xDW?=EzC>kIM~5EucT1ddZ@&S01gP)24>yL#;IgPA(rfj+$gPoe)x zx=FoUZ^J|98`VVBtgPA#6sw(`887Cw_w}Va_7!AX)AjlX?t(D~){IwAYMLL0%NKQu z_P;x3d+R7C`X!WNNHEn`XA44O_8a91c)lPNWoIVT?9$gaDI~8lyOc!b@2|=`FfdRG z9GC!K_^ObjjkL6KuB6$QNVIL(4jl0L;4mSdmWdg7;O5mWnf?2DwBdsY)`o=oK{K=d z&d!9Y6t~`2*;X^sGPh*5nr_pY*3T2a^M+CX$G0w(a}W{Jg<)xps8k$iWw3L4^eCUx zI@?9sF2?bpDr}bJeX?3BcJUx;5#aglpZ^@-qXB0kVJh6ENg{S`y<@v&Wc*`tFX>9! zZtJjM=;wh20e6}E_4O_^u6wic7hX{uYnuGHp8(F}JBQyAjZND%OD=wC6g$Y7uk>VJ zzWfx-Papuo-Dnq2Q7U>xNOYl6siA&6&1$xWjumHPA~G9 z)|N_7eAtki)7GOtHf?5^Ed@R6rjruUO&0Yfh+LIqB$x)b=Ira~(Ka-E+x;{ujfSO_ z^>)B3^4Qqwb(wMkoNh|rXQpQxqQJ{nIeA6w_Sf~P3tFIJz%<)TosmiBCoMAQOK~R@ z<>lpJl2uk#2CWVp0YCu~7cX3e5PbY?`Pu`a_ZXoVCM~DkRS+@j_%Ve(io|cBm%jgH zXFLs@$_Uu=%yCtw2}~ZGs37625dnvDIDhE4oK4}|(DHzz5r#C?RaL9+oTD#hUW1-^eMl1nbl`E-VtZ)4G1JehZsplrLOeiT}Oi!iAB=gujjWkuz z)mc(KY9j>A&cDAa1HlcF1Q6_qD*N{jzM+vTc)8EIxWn=A~baWuP=r^Q`3b(|cp-6k_B@6BM_P?$13)M9>s1cr` zQwRGUw*{m#AXS=~n2=i_z7iM=92Zph__WP312!x5a_-($Slcfw?|(vVVfX@Xcg>OF zB7@g?e=n#_UDdr4T3atzDQ5hOMz)O@8moWM#1C>T4Ld z(l)l+gepEyI%q@5<7Gd1jKL~0$bXBfIZt=OVPlIzQ}kjjohiYaA5#Y zO#!br!fw>yfE5^5=Z6~}^dDc&wJ{{-5X+e69tqbsZ{z~Fy%#@|AgdIw8CM&&t_$4{ zPZG*1Jh7o^@zQIUshE7uN%ZRRP;$iRv%Y=ae*L)h718$V0d&>xffaBzmN??rmO zcnlMW@eIJ;Ns!VUiBkJ*Y{xG`~1QJ!XZdoQLa%ia|(|kW&ml89e+2kit!i8lYy;}Rh)j}JscTE{0W2ax>Hyf zOM-h4ataCIt}kgh<+2C?KzjmrYg}qsaM;JJb?)5m9|GyT%vi<*ta?9(@{&%sxrK#O z1KO75B9f8|m>vJRpqx^9En%oa&0SO!W-Bo@68%@c+W%ol6NkhKQ^m!^3=bW;lo?lEz0G(q4lNovO!ABHvrLcs@*~QCmKINV z^lU(zUd;@wRv#^iKUa)Y4GB4S?Cr=MGC>38odCjv1hD+@g%QI1$o>IIAjaPPrAr~r zDk|CmamR%aK33uK%1Xp$ntLIOm*47RNx4{!dc0-qNKcO#KmTW7q}cGcEqCDD(L&G% zN!fymc&ZBQD3Ab2jDtd!$wdM>Yy^f#h)qtJ0`SND3BJv-OIL*8tACJUP{YjD`%_|K3apD`Q(;DUF zhQ-TNVr-|8PmCb?#R1FhufSwD}>+xYoLp6?Be% z?QopIA!c$)IdzhqU)T;|d~I!Q_&^}#201x>MAe20MFY47J|!0ZT@d3T2L9g-L{CFw zWMbmsgvKEhfmy=;cKwDJrhNRkcARO6`u*{xDb!4UA$zp6p5h(BBK0O7b}p|PMlo1m zcF)yf_x!;}hG5aO?qn--H!Mvk#9^-f5&5jA-u+x7AUT_8 z7KBOo+Y= zB=%iA7%%TfPIoN1fo0AJ^J#l_wzR!&2r(2q_ym9;PJ6IUu?HYegAH{Hpm(rru!@^P z7rJggU_kScuN8f+(Y&*(3;xT?KzPT-#v%(2v9j)h*>2>&qc7XvlDyx+4&xrWs^w*j zFOF|){a9I%Y@mc1ASvQd=Z6o?@M?rJx0mK!ua~R?wZIGoBHh%n{u-z6D z<(v_a4$4p18VlN}+{S@>V(cC&WwTrZpw55sYcxVaFla*Yy+;vMb`z}8(2WAde%9U& z(aJKoB;X;Aj*VexVEHB>&uGu4g6W4CwEuw(1-MQy$1W|3#gzuveBaRL3HLECLOzR4 z$P8$q2-Win>O+8b*9G2EoEcBTiCk+6iUge8q%e9w0@{7>m56c>=l%h(l1P$XbzUi(aEZq6&)2Dau);>jVQ?%;Fg--V{RgoYpehx)pqhp|VU%soG8{z=# z@hvz%4w)m;JwVSnxm=0Md;abGM}cXQQ)yXAFVf)Ik?U{6funA2I`REJH9^5C6d;%i z)=aOOqMU9VC0pr!z4ZPDPJuiK+@QayT45$~ML|Z#W|pV1DIoNUHFv-s@CKIec={7u zW4Rq7w0K-HPEQPX2q)jivD4MjVf{qE`Gka~!7uMKK&q!y^S3PNki{OjDMwpi=iI zblX7{AzD6yTq~Kl)!JLaqwD!zG>bva$$e=!0O*wZ1iqHGdN) z$;-mMxZ==gBW_uk!O9}ia^rRv2AUX*?c`P+#Qhe%{SS8%NC(7#l;#KO56?hALNeZT z<~DxT5lU2yULX}?-QTR~{l5-?SO(D4j=Am_J zW~T}fS_M|U18rXI;W!{gt>KA5pgL{p0Qe35%KMa+ zhXLUa3@oh`H)Huj0)&j;-06dFiNG}8aWu>(%E^eiz$GP!TKf&lFf1`lw1&OZ@2n8> zh+kiqwZA*P7U3Pawke}S0Oo)gE3uU}d>_wydv7^4tMA)~U-O`>ET+@#j-3>WIB+Ly zqYs9M|3M*e6mc%NFi?Y|aV$aTm6z8HNU-2Tq9Gr_qab3#KUYAUI$>1!+;SnT#LdZ{&bmDOk7;v?-eo5`*LHU%E^BaIN^w9V`a5|<8d59LR3|c z&~5?tuQDsCLDa(K8=X49KQQe;?09^Z%T`MoV=KzFm58{vb@mO!$&$nURQp&_K|w1! zJBZPcV`Ss`d-WA!Q(^Rq$BZEbiUZJ=jZIBoVwZwEfIK;H*09l9R+|h8nw0MyqS3cx zJ;LTFrWv_jj{`0^?d3hccL>80g zoSS>+j{GTpekrN+rz=>t3Qb-ZJ>mbrYIt!|{J6jW6SvM(tOm`qzj{E)fZZeN+rJs{ zH7yX@Kp`qFAwfw&0a_}xHlTcfra0F(wpYLJlS-}K;#zkVf3@!?3wfo4odpvK%PuDO zH)UdOZH95QmMn+J{W^T!3-!}iW`{k>7uR5LdYCO}chMZ75$>`06vl7Dis?b3LKEbtmIaG>JR*i!b zuGou!@zVUXyDzM7EZi3Ei+P7?8h_=KfxGBUpPFl+$woS#3g9w^){haws;leFt4p&=n4lqkY@9Yylf$Uld5 zNM!nPW{*l{3tW}*5q7ZspW^9GXuUR{n2e0qLsG&$Cmi!Q_=VGj51RKCYlOcV8nQgf zg){^NOFfMIZWk1_{y7OSoHXyMH|%nzXJ&|+f7Q^*>FG-Kx4Y&h{(D^LI=~PD&%H#+ z_po1La^xW_8=S@rG&FyZ`-!C^oNfyZB{5P15CD3{l7G^djR8aI>BT>~3C&K<=_H9- zY*PFxbOGoVod8f==w_h?$a+%}8(c*NMRsW&899N%%Esn2Xh$lV>Ca|Y=FZzp;uJUc z+#$8+f=ckTp}oOX7xnU1_{F2AAi9icp%BDN#;%?ZFD0d4h)G~yOXd~DTm$J2E7Uy6>f@rlMv=EY0ryAKspejWvWL(5J{1Q$&e^6@~)}HE>>T?r$Q)qX)?0 zO?CDqk{C&p>ZlnOP3#2#nIp~3F#rB*Oi3Z>8mFS_treuL1AvF`Lq$~78}$Ql6CCjI zS*VHs>*mhB>Fbk%m79{%y)U`@0)YSBpIIhaK`HrWPaBD{cA9H#>1{vM$6H|IpGJ+g zc&}F)6;vN4V1tA8$0k{(P!J+8?@*pp_^+=_`)g0Sy8d{n@(I$03c+?CI)^&R;b}F3 z1fro+%(mzUgVfh==*MaYB2F6C0)wN6;^)489ZbOcq0g*oem*Tf1eK=QIbF2IA4Sq- zpZ+~O9RQxF&v|prKYHfow>`U23quSj3MfHb+!yEC%f|}~3lU*qh{-Cmzl|0Z#S172 zpku!7?LCfS5h};y!y-W2q@)n_Y=o@4p&@yEW}wI)&H^gcF$CvmD+mTn&u-VEcwbz6 zg6vey(g8UW;M^`QF6boR|7E`~i65cUgSOw3hnf(xQ|yl%-7|cfkR;)S>!ldY8WtIf zz~-8oR7SK+y6eDqy1n#9%{DA{K~jj*-j@7U*w6EtkNYb*+>Zw3dE zCOS7U!S}g82zvohYAsQ6M5Ul|c2hj(eS|`J`}i0RI3Pvk65~&-r`L1o9En72DlR6J zl<2_GKpkr0){G2;c{7x*s5)@uV}TQut_<9&^;inH)?O*2>Bdu3l#|OxqXka{lsP&& zI#?ek#~&f4)jX&TJ8^KX6(kJYjxAfO?=iB(AEA~)8}Q`Ywk!eGHy($FX{J{GU`=5H zcs#u18fs!#1Yi-7#+H>hl|;GJm#msUuaC=9J4;!6_wM1NWI^8bC>-DtYKWu#jjJN5y``4Dfz-Mb*Q{oUF^GclqJ{D@cCKR+??AkyxRDf$f)X9J%>`TN~F zJgh7ym-SEV=gwiY#|h4bnX)MP#%i`n3!ZUG5iC3v{%*c+nN4!gh2>CfkdB-%|^UU zAD-mhWc-BTy9Za1Kx1ecx26es-04xZ3kD*l0_a6w^j{NVq`smRZAKMP4R;FUj1g%Z zHprT0L;0-rcUjleGy`>HLP96jR}>LaN^nkG@9kaGk;LN<;L>m` zfl$q+CQ)xEBO`-$#vV@$7ywFL;NicJYhzD!jjynZ+2y|XjKGH7v+ z6m|$E?DwR}6J61a-9eX*-3V<=)^_eh2y=Vh#@f<=Tp!Mlvuod>i3T41w~dPT(c{Nx zpEfo(@dm2x{h6(8ZSf4w;UtA)G421?+?B>txxVX_A<_!jrnWhhh!oqLSSXPODMQIT z7NTV#Q?d+cm#IXGWQfcWO-Pw)Ri=$h6;jEVO2(Y)-DmgzopZjN^Wp#DtS@`ZV!ht? zdG6=Buj{(+`^)}>hzJA5y1Oe#H>#dFgc0K+V0Xg{HrLB-}Z26QdL$9lUaVG?P-H^-C!<>0|n2upV^QglJI*Zg$uf7iKjaD^j+QC=f7;}4d*UJNX`JxF2nsJ!ltvtxv7-3b z*`cBgqemIvfrCO&Bm|_6bDeaizeuc1_a!nY7Zqp)e4x_pH4AmV`IZcJN*N~Yc~)wrb1WS)-uhQ{Z{|+EA+77 zpdg%bup&mS5t>2#=V*RWn4QhX&!3c>OiW)adW(CWn~Tqf2k`IDXJR1z1Cg3p0N^)FOF~gKMya5eai-iHW?QUN!f@+- z*VJ^`w_-HCxA)vYlo)~*nM{7Ygj{1S<&w{a5dcHnEQC&@0ha;szRbH3QHS&5NO;p zIGAw#dN8W}u^B*d(tdxAf_0E*I25BIBQ@02Q1G^ds7&Pem|2JVUG>nRZ5VJHf9Vnx z@(T(}EE}0fHz>df^BB6EJ>G^B6q^gis}`}|z$e14Uh?VdrRZ5XIcO~e+LoAc2&y0Z z)9NA3!@(gFT}n_0hOA_vVfUrL@1K2R=Q1!i)0A|wkF|=7xSGPPWgeI?WVAz_Ol1P`=3y95QoH0%v z=(ssMP&(p?SdV~r?>mR%Xy5%)W5wAlIGdr6<A5m1bJc{6j_gn8)LHnfUs)0>kIM2@a7Fxw3!5HFM~Q6?D;f03h-TF ze3C@EZKT4Qq$BsyUrfWc16_^9xZxLxp}*aH3zWoTiv>InG68DPIY>6N6% z66=Dph#pN^T8kK>_-&Vq%SUiMYeY24ha^|*ry>kr*YHJZ7?^q;1Mcmw`H@JTzMrh$ zemDP1{HOCO53*Ww_Z{H5|fvXA3vT_nV6RLvtg_C3X+bjh~LUl1PXZg zFtdvJ4t|}3bc|+K+=WG;0xChMqA{nLIlh16lExsJm~M>h zVZ;Xjta@QWGca%g_sIBeBEi1ux#Df4zR_r=^Myt15+GeXgraphKki|{KXb3r%SI79 z>12WAE8F1dXB$PPWQn)?+ytH#3tcQ_KE{eKb@smFks$uPaX;c6-cDxa|95>^Ah{uM zC8Y_K2-tBOMrE#Qf)@sc@Yk9vEW>%wiSc}vyCm@RWaQ+^Fjvc0-2M+`WwXPF5yYNr zaF=4-3vemqd-SBYfS^d{21>MKTYuQVAOiUYa9;uQ+Wbe4`W`>l0kz&47X2MoYv@lw zf)yz`;M+W<^Z@xHw4;oIrz=y;~VQ7RZ2usB<) zBTigIM^_hYM@%HhP1blpH4?Y-b+tgWr_ zH@Y%~=~!D=<>c)2thtH_6J$}Xd%3wlBGJCUL8v>vbcvVv^MisG5$}JD_ih~3sj~uc zCgBJWe}_}Q0HKR;R$=oJU%|``qcRQg4`0FYk&j`QICt?YtUNplFJ9bx@L*zJngd`W zN>R;@9ZM@Djg>c3}ri54zYLWk^FFzvzO!6g*D}kaR21EDG$pPMj zeL*rVgNub=SyoYjF~PBTatzcRH#FoR-5@RxXCkf*U7suOtxw_)zfnTiHI8xO3-UE_l%xlsjN=YWl>Wy3u}`7T5VU5(IC*DdD;tp zK#@LB0a5`M^V5NWL~$F6buyVFDkw3BR@^E07H2O`=U&OX%gISP^&T)##R+k4c04TX z*5@ihpwh9u8lyNo!g=$V94$vA>K`kTCu&V)VMhUp2HtTQ;3_~%RN_5$8lY92@6pHW zvMl(-8Ae>24ztRXTxy4WVP0ruaHVGcbN>AN>Fx&RYkI#vTso4;*iGL0!Cx4a%RLS4 z1n!V?Ck~pKmE#nJ?ufG-tN-5p`zFbX17HcUPo`fX2UNugffWM)jYwhlG!p#-^=Ffq zK9PRiih^>-;0ruiQw^i@FE^vPpb8XAxBG+zbTI9Rx1V1#gYnz_X3$D(EG*GuPPVos zkisg16K}7Ti=Q51%&Nswh*!d%m1) z99ZM^49>W*c@V%zKq=8UHPP9?#AMCG5oldVKg!P+7Z>Y@bH5otG5*K~6expvDH%m- z3Dw0=6#^5+W1sp$JGAy+>m{7YxYRJPWg9sYYIN`F^qmA)v0f)4(tpPoYzOXuTR84= z=_paTm3MF>B^qKOo@MHHJX4g0vW)wJs!^%hp%Zh6>F*U{tGFk;4Ts&$)#%!kMHK&H zb*!hq?(GfzQZFF?5XU5d!#RcJxsT~%^I$*`^wv^x_N25yc66@7d})7wHS22X2+x(t z6;l6Nc*B_zqof<*B?4pkwR;41f_$hME>}iryz_-~Eg5P!GvceznC%qsABBA(n?r-= z*B>djhS$QV=;qC{3gFdRB0vJPvU+%oXJtuwiy$1p$&v8SnIP@-BJ%3hiJw)os;kpzaJNa*r~DrwYoG=F z*JV+=-Qu~tq-3~)nz}l&_10nVdU-U0*P`g@VYeC^pV#hSnkM~PN0)gxHapSasd?~j zc(}gE5gv;#jbep)wcRt+jEV~WOcI0ZUmL~<8|E<5c_d$yD;VLj|G};=J=qY?x1nVex>1&8`aH8!T{Z``x{~ z-i}FJLhaClXFWZ{xYMzDyc;RR1L&c-fDY|H3Mp~+hyJRVx-KI zw=q)fEiD%1uJKb@881Q2yhz`XF0$=j3bc6Znhl*%tH~zPnkdM?;G2;-ZS0F*NQ`)6l5)j)IxsTx=}rUS%=a-qrOa2DZ{@oSd9# z%5FS?M|6yt!rsAg1tIzo5(l_!(270~C1;4(5PT6xRH{|Q>G-e}f5#+l$}bo=^lyiQ z{~NMQdW6C`(*>fWvoeQ)a}B4v+Z8VD*)w*@Gn_ncR{q-dddIhltKycqnj)s0K0Png zyTzj9Oa*}4O9o>|F@aDvb}aWnPe!T%b&J6mMS_h+dt*YHAcHW|_zKqJA6vJgfWn(f z#cqFyf%H+Oo0JXqd1KcB)`1S`!t4k*PtbA~@ZAb=kN-7>qdK&VI{F7c)-JXy0?LKs4U=h2B!*wy9dMY38bEkYIqfKe{Og{X~rl;P0VBikgFK_m>&9ScU;U~-GitKKjGwL zAT;H#wQpZ@9=Jd>Wdb+zLf zNFcgj49J?*XW!VA_Q!Gle)M*3hR@dAza2}#2{!vmC=+M$_w!vn>zrbjj5MdM5PAwg zt!)?9M69rSg6H&?FaP`s=PjPJk+xw-Hcz}h;?_8C(S@cGp1=RlI*!fvp;n?ru*|@3 zXaLpL({oj2cC4&fYO)ai2cRL~4fTNO_d+)F;au7`9$MdZKg1|RD4^z}ky_cQCb(y) ziBVCz;1?*nh(%2u#g>077%sd29oe-Ye@W4kQ&W-jD34+YeQiiACf0^H2pa7hFkM8(48{GlIMn(or$*4l3_X{=#T8RtPoa2Iycrpq#YD>kY;W}An2;T_+kvAtHXd-(UaG) zUCyCSZ-akWKL|mJE*}UQ^3TSh*35b2HC|*rKAFQYVp{$>=3tb}9E$-L5w?1EzK_`0 zk!4}&Ea;5xhtwqjn;?lhLue5JzW`peiN3i8MYAyb?Aczgnru0AqO2cJ*=fLD`;z9x z^;Eej69fBT185({aj2rKT#|}{_^E!sx2?kfebD#L^*%$?SzKHMuhlx=#mCM<)rB(b z$c+2?00!i`qRm^j?AyItf)1}$+1q@&rG-UHr6e~y{A9iJ{+E*R$zZamx_u@S$Y7xd zQ!Qt!a@Fde<2ED9$!3g2WI3Zo1_uaUFzp->i{&|3z>8L2Ev#N%UfzMuZ#lK|-->c< z4yYUY0!iLLj0@;x2DoBkQ@xRQK!Cb6F*M@d_Oc&dr8fCD#vM=p zBuiP=glvBqj~dDK!tSM}ge4Gm-#Dr;ein6;bX8(@;8L3s zyoCcM=n_L+!j`WepM$%;{3UGKxHWADFYy`!RL@|8w_b!g<`%q*FGI!>_A;`y7%y*~ z;-5O=L}xvS5QGUp+Bm7Mp}}5|)0s|nA<;2tBRn;ux+*=u&6+hi1TWFDss3eB}qatO|y=7oS=Tv&KnMKt@C zjO9+PT_A#3oM-M8N}Cc%D2v;bB(c9yeA3n$#&?Z0|@c*uJgwvZ7R zXiM|Hrvud_=)pU!rfp@%bcIAk-&6>g?A~q1)#|L`+4p+7KSJDh z6@q7@!XUeVcYVD)ggldbSCCL31|QeBy&DO_O!t=ZlEGZZS6yEj89x36O#*luBA zQ7$3Njl}WIm$@J$fiqWrUI@=CVe=4Lc~=wFrVAy(V5t#L;K2dVx(vPuBrvV+3Ia8U zSmoHd0?eO|?){3x)=daQQQR_3Pfw@Y$FnSdg@y6Xk1519{vq3QQp=Y7X_d2t_NYE? zi+jneY-(k78>Q(BNX5#X!hv9x7iyL>*FZ9ADsq{uO;C&>Y>95EKbIDa`7X!AedVn= zfMi0GzXxo5R*aEvQ$P}u^S$QoZf@sN8x*v)(<(-KD~rtz3eQu18dBqy4QPA&wk)M-msqgWbcQ{0 zXtXtYun6h7WE9@6Jpw=|b>r9ir96e%_%?pr6e5W!Hn6X>57*V{=iM|F@kw)(=?>iE!l|IbzJdRYk>l zi%fD#3dSHrb3;qr=tE=GPT$v9JNU()xO-YYuGuQL2!{f70Q~Zx27*fswYIxECDAp* zqvzT%R#;2QIV9`w%*)>y0{t^WK{oSOM~6CD$g23|CIxwUUvNx5K18bjR8c;#zdAVe z)$4YEUYe)As}irpl+D;88OQ>TNO>Vea+!OF?1R37z4pyYaJp7%dBUw@V{X2So#;O9 z_4@3^t`EFrVt2u3{uYpMCo9Vll>$_CadC`?(6#b-wJo-BHJsFR2t1{+39I14c8Kyx zMmwiUJH64n>h+*=v2qYMfG9!xxpyCjGmtu0)~ub`CH=0jY2xQ;S9uywODDOIp`BuS z^yub}eDJJgs)qL;K7@DB!2h_eZf%rUh+!o-TNh_%4ljTwI~TvVC3fLc;kEFqkNvoX z30!#;V%ZKN9iEx!2W13%=4wAc&++zKT>YOveAr;;Xn?g2knsV$?AVYSq!plgXVu~N z?@PM=M6ZRyP}8>cEtOEW6FYmZREvPl{rZa4{UP*Q@C zBw4;1U1#B{-GR1I=;$)=@hHT=H+Q^DO?foE!YeC(z)*>5SZ!4 z9c!*EM@|e+!A3MHw0pubaEl-HGO58=!xiV6w@E5mK8o`;cxZ`(k6>-FW0QZX2n2?0Dz^4% zUEO=sG7Qd(s{82o1s6k^cru&FBcmS!ENc(HWRU~*3Uti=NPn{^iX%WT;)VBbCB#gz z?l~Ur9PUjhdso-g3{*mjfLrdtzEb~*;+m;tZ(m;%V`EK#SmekkQi5d%IumXt1Wh2L zrPf_yr8ZP6bcqEpLhB?=)EeU~h5&$*0dy$8sOZG-a7X+kla%YJ7z|}V4Kojr3ziMx zh)VrMgDsXZ5e{Ebcw4>nQCC(5@qdgbaewQI+5>olPwDp9{ f@;_PR*UQYBk408VItxq@Z`*CKSHFm2d-gv7C|QAL literal 0 HcmV?d00001 diff --git a/vignettes/NAOpredictions.png b/vignettes/NAOpredictions.png new file mode 100644 index 0000000000000000000000000000000000000000..b76c2be37f6ed3c1eefcce0b5d2b9c4396cdb473 GIT binary patch literal 33207 zcmeFZWmJ~y7B-4WmxxFR0tyHsp@6h>gCL=#NJ%$Ht28JG64KqJAYDp#cXyX`bLK1V zz1LoQ?=jB#`+bMu8nEDf>V9Ti^P1PZy`M^pV4@MBAt51Qiirx!At7DL=78or^LiN3HzLc*#>{CA<=G*uf3={Ay>AfNo3$dyrtNU5FE`d{tQOx28Yx;H%t z`>zsqkyD7=6I_fOp>=nQ_gzTj_etoM;^@t>v`F(p6QMeRzK8$;sNfdfwR9sDo3V#Z3=#xEUm*lgp`Vzkhgw zN#%z4A@<(?`QL{Kx$VDC^Iy1dVQ0C2eK2o6gkGhoteDK@xYKAhSV^6!f5dJ+YA(Fl zxsA@nBbV7>cja(rSt<2t9G~k|n}Xpi6*kXm*)+K%-_r%QrQVErv&YH>MlV`ePk#+b zY>8jE?r%jWklxjr;ZvdG>{?WV|B4@l31fQVr>pM``jXutL!~U`q!P~PWT^;U(w~*b zn-aZF#Xr7j)q7ywvfr5a`TqU;%*^|}qZg1=-&&P&B@)L*prvyn>5w{Z{Nz1Zl%cR# z>Pd4)ComZ)>Rhz)BVo6guKTENTxh-AcW`iE5ECc4GE&^VQb*~}wb>=XkhX?}^u*1o z^c9?lxPrV#sXtrI6Pt|3aeo7@dAd=J-J7m}7a$eEIy*DtCA!>~bqh-*io;quhKKv* zkGEgHex0uO_iZq(Jn1Vm9rwT_78Vp7vFet3mLko9QGKG1P0ICVZ`8IwT_HoW+JjQ~ zLql`(*6Y1`SkEb6hKhqZ;{Nc@)G|EB8`b@)mQumA3Pfxs#|@PJiHV8VySL)oKSf2I z9B;K38umZ9e?QY?v}Cl@_G~F5XXLE8d~a+xSEo5!tu#3?aeIB7_rZf~`<*4*F}wK+ zr=t-zl?ulL`oa;pJl)ogj*hw32!Fzd$zP&p=H|lDTO-)8v9TF+WHPVzMQPsLnr~n4 zh!c>MloS23 zJqrzb4K`;QrBf`&%IsE$^3gFdjk^*XIoHdkzlnG^z=D_*&xUw;c`av`u7UZOb3}!n zyy8|>&yg?hni|d@%737rbM+W$aV~F>ilW}1jEwQ+6IkDC*RGwO?p1;Trsy<-2^Ji$ ze=f7nmPVb#F+K`~3&TNM6( zy=WTC@&sOG#r~9Uyk5+>b-$W)O1ER6@o<5Vh)5~#P^v7Y<>YLr25VvQPM?ZU;;UMp zIe&+}wX7F;$@P|Xb#=+f$wVIJ&GdyuIi|w}#+`biVq#*VqBJF@u%2~0OD&;zxVYv! zy-KB~&nlfyR#uEGBL?&I2%G}l+}yUex8ti9I+?bV(zdyO-F)s(?XsHR@59pwi)?+k zz3A%~SMN_M?%3a?Z6S&hgFCHwcs4HtrzEMrqHKb&VP7V@*~E{pn$;~S%HLlH9B_dtvh`z-a_#4}^AIy@do71H(J~)x zFKU@EIv?-%W+=%-KJGj=-`|+@(BuLO&)#_5liGQ*H?FZws5-jPozmVEOgG;arIMjY zk8A#zgqY3bQ6ZCt-@%>kWGM%Df>tdbhxzI0X`w{0YYoR=wKBXXGeoKV>JC{8j0m5} ze(mk+YuKCKdv~YC=_R)x3!E)OF3HF1k$%_Av_J3ZTIo6*s>8F|l_bHy;ZZAzVrgLk z%bo3LCf@C1H$o5~9mUZa_Hcg8VcmL_crM)ekPccHWTm?7IlK10!X=)1n=d7obTJ~3H905Vh$`%vja?cqD?$BVJ!w6qf6H-j=E)dofhIe zRjU`maYB-_x{RKM7q;9oU+l!hu1Rvy;!nNR|A5D6;48cs2oK{uOaM z;qJeq-57XxF8m7mjW336QJe&Lc$5^kIBgzbXthUkXH%OyVRR>mU|Y@#Q9fj0>2>_B z*B(8WAf1x;B2Sm1E0*t)Wou8`vsU8}1`YLXLgt4LFI~JSm}s{(cjd~JxvSZ}$cTHL zo?RI(Y*&3~I>xo9v6H9Q9?n}}(7Uw%Yg$)E_#+V_3beu6#8VbK9$0Kueo3KFHIPxg zv^=>nSzQi3GFn<_c&T5X(X`?~w-cAWY_msqDs5>pCTd*oy+Ex zKSxEWGKtW%$d=ZU>Hu^ha9~!pb@an9LEy zNELz~{rK?&SAVo5f7x!Wc%F32B@C~s>$^g@vG_qqG35jAW{E?VUk_E~g*CcUWMX)n zN{+&571AZcm}{M+L`A)pt^B}TBhVSjHmcx7nmo|c)%9tBg%z499Cv=GG-lb(ot>e( zw>oUQ*p;N{G*D`rQ#`>TQafqp2yX~{lH%1(VQ;1JG5CYs)SK}Nr&c$d0IXXaJ((}I zV8ya|A`E&`ClBv5=D$=72Go)$#FhzF~jGuR7ugHd7n5w{2f}ipRyh*Tb8GF{Bq&(o_nw?TWCmu>Ab| z+8P?nveM+!~x-G8+z!m$lRB}`bO&~}qZNB0Ts!&Q-*IyjA9?#Eq z%(>b`+10ALk#9AerzgY5_pW{mgXq!g)8m8C9!33v;tz!%itaqH_Jg2+gX{hABZNo9 z&8t!Se4(JER1@h+5b+O3hm-H@uQxU}g0Wev?bL8tCM;OUW}iXGT2y{f4xZMV5t=(s zU@R~AN=wV1jQ8|ty|Oe10}aiBzErMeXL_XA(i4NwVx}Pg^7wk?8RG9`-1ggu)$!*! zY~Tur#c+Ui5pp{IRS)j_Mp-%hK?^WN`=q7dkP5XuwdJNggV-|4QAg@gRTYTkC5rY|v5$<^ zc3EpHb!ujX5TEvvIQyX>yfdq=6A%=%J*XFBHgAL;1_^E+He*4KnGQANZ3Q zidh!DTtS*LK4F+^@JD!L83_r)fv=M)rseti-BkU9oS|_wwpl^#&yFX86zB-x3aESj zS6hE&$|iV-l-ZRMvp$k-p`&*yB`xj4U+aBhCs<;)5nyGhHdSlQW867^UrHruaE^J5 zc`C4|hy6hqPW*S({L0GH!wkb&Kqdv?WdP=Uy_S7Z}yU@qdLTqOA*q{JZa2_nd50fiJiYJaN8eK6@s*7Dgv-T7b^fpWqPvx@^A^n&-ZgN40apHXE! z7n6}W1BY*&bvoL$TQOQI8^R}pgpMo z-2A~bJ$Si9)^zT|3gKz%Qq>5lYX6LNR%2TmYvm(TNG$EVX8_wKv3ZX>%D%40^0{JE zn{h?jIfk23FR@yz#^zla>dwrr);*=6Xy-Xv0fUWkKGff;Cl~PeLM$1<+N%0c ztL}p@kLz-mCS*R9e1qQiSI}F!Wl6B=87hxo?O1@9>7C{fsK5Ei_<_Z+?+dTZVwcWr zQ!uCPnrg1L_W`aJAlU~Tf}}cop`&=%5B1s}#mx9|u003;5FvBY9ut%h9D6hU@m1YM zJV7v6HQnc*_oV3Nm`WgYXDj+-Gx^r48LH+_vl#SzVYi$sv)fYbC$v?2H*}I8noLak zARqjCakkt)^qbP9S%O8~%|R~r18FHNma__PIC;S9zs`M2RIu(Nu~JL(ug6~V^Yi0S6bQu#3hK6o zTX&Mv5`~5K<6$FXlV++G=N`GRF-THVAgpHL<_#CJs`DgqO{I8c+WGbC)cS`Ia%-)1 z*!}y}U$Jqi3L~&#^BXb-Er?nSU9B^Di@G=KhVl)$FSc2erWx`-4=)hUlhPk!#;&<* z{-T9=e*Ce{_0U+Q9Ch%))y@P2K&Ms89{H~SY-?9M``UX}5XIGON3G-H;;ff?7W=Y>`!!rn0Mmz@CSAFDwGHAp#CG_dQ)@Vj>-+Zx z{n?`s;*%sov4|d}2Fb`#aYIyJ3%n}wFUtdgocJH z9i}iNoG0~>tL1Fg_25sRI^fR1+nfP$f^DZN=Nr6wHMP~wTWK_y8;_4Ww(Nl^6$I`i zT&k1%+ns!rsJL+h3XF&0sNI5L6JN+8zP^x`2BvC#84>`TSQ45Nnv1C#5Qkz-cQI&V zL#?YCcXqPwGG~{FaE~1Ia(P?ij_cz%P_6$c&CSh)@Sc#6kW+DJuvH<>&dv_;o3~XY zr*w@Ysr=ISIyW3R#h3y-7E}xCkVrUfR=fbILDmE>I0e`CX{hnWo1U7Ix5eooNcn&` z?=nX9e!I)*796oQQVggjA5c70UbmQD2?EyeEq+IiWU9rFf+)qqr-Eb=-#f13@&6z3 zUH(e%tqqw{+jUZ2=dvYrq$lin*RO9wV0L$NOI<_BzRr$<6v`)t#Z12KqgHCOI$n7e zrWY+c8X$*?fnoKS1d7{q&R2yK6BCy6ZG;|iC6qQ9&%eDgG09$1ANY8pYAqtJGw@Y2 zMLOyg{{nKuPm4ImTVzc*?5V+<`7v~jd{k~@*NBP14K#YoX@V(5{IvD-G^~3S5GVae z%m&87$i)R`F$#`|D1|a*cXc>p&1-a^UBNa{9tYje5^qeynu(TT{Pt z_8sIf9Dax?kB*B(1*fK`Gvw3aO9*Vxv9L@AzQ!%7)BJG8`hixDob}1Iq|=hO@{S}5 zc`%)l;^-BY_=E%nTfPgP)wp8C_ss5kva&FI=Z^)Ywn|)o15?uDgWieDIeZjHtq1Q zx*;y~PU5c@#p5@VE>=&C>i8Ia#BL_`nCG=SNe}#daCb6D_J93JlOLt+UO#$19^w&^ zAE5r_aU+@2!!;Z9Vj9yGat%Y}GpM}1EzVBlGD4)XOb02@350KPhm+yl?oDr8EtK%Y zVr7X6AkWin451GUx`Rn9K3rh2UViPm_OoS*_@&5AdKK+S{)1Jv#^%qutwy&japP>N zbkX*U;q9ULg+=H4Oy*{6m6)PCkRyC~Msdy+fI^n@GlA%l-YaevpeP{+5kqMY2~ zXJxv=$Hvc?Dcz-NT$XijW^gGPJMwl)*IE6@_Ds4xG#xkI0XEU=R?;v&-f-=YP!wJL zQtgbkXX#!aLWf6891#?hSVBN^Y33y=&;Eq!$APfTAD5W(G8}ilmgPy77zVo5U(%v( zavRItz3z468GKOVl!9nc z_EwnE6}DQ)`zy_-%LXdnUrdl7P*MpqHz$;eh&C+|LZ^J#?VBYNV{(vAr@-8o`Ri3T zfw-6$yX{(})JL_)bJ1sI+;b+8((~r@mTV6nKBT0quGqc4HcvpRA~%%JNkC-K{cYBV ziF})Q=B0VE%=o>JDh;~+N{$hZ0kUZxF7p#cgf|~75|H5DJ;Jy1Ao>38ggw=WcRY_e zN4b@cxtUygFL}A~9ZQ!V$$cLperw^6fuE`A$((i+1`AqMq+IsnGM`T#-a835lrGS> zJnf`cnaS@j>$S4T{XlAb@LJjrgP6)=GOLe4dzpQfz^|A($M3*BHR`MD(8+O?R&4qSfhJ}$&u4PyzcHOko z84J;!i7gzAbfw+fl1+$aKiEcQZou(8T5^@k@w_i(XHCVv@D4Q&=$Gcr*;?bLPj8bs zPGt4zwOO6r18{Sgr{`cYku=^V!xQjO&u94Mvf{xkLCzyJx2$|T0>6V=wy(1cNKuB= zE2V8kRVQT)-;xFs#WaTtW6lOM>TkquKWh7Vpl32p_fhbUr1V~h3}-W2`D{0mxle;$ zm*J6OO6A;y1atP2i$Zr~3wAywjq2EO9yB^`T(R>b*=CKfd^+e1bVAy!;n`jPFy2ve z36lWR^&laZ*&?q*v7SnFkI$~8R%NLz3$J*J32+1MJxdOnvqKOdJv}|XJl}2C$1*cB zr%t!(K2BMMbo}tZOj@j)rTG%GFW=~~BKBK2!8?35o=t;!*GdG!lS!JgrLpWkxBfPgBJ-@gR(8~D0lbZM!4{Uu^0)y!xn^yD zh)l&WN|zk_#0OhnX?g51O$@h6da`jqcsLO*u58@Z+=h*OHUY*&74zH(g2OBV1FGHlA3CQ?y=5xqMmtU2!D&q;r_-l^4Zxg7 z&ONViv;$D0!`qHvuXZ}1w%&uReq%32!m@LCD4(JHSrX1o8Wsc5U(^A}mqlB{)%D9C zF>tZ=(Mb`QFLcDk#>Q@JYy`5E^BdG3^XsmdcGJb|bJJOC%s`AwNldFLx zqdHcYFLGjq;f|ud$%CHY@w){PO5qQx+DI@mW$AZoI`5>Z-F{bWajNAto|Nr%Swh|D zhq*;ZhEW@z&QY;S_Zt2O>N|6e-7^#JkFv;D#>z{x#v=%N3$o<1l&e_PO5SAbv_(k_ z#5y^kVk&f7J$ceN9E7W4NPYc}SN<^%WcKG(SI1g@s&9rB7l~wBWU*FOpaka?Ud`O- zCt0D73HO~-dQX*d*-Mn|AlKq3WF}S#ys>F_3qYCtsH}*emuR?Pv0~|5Qu*vNiw@Uh zysEcv-$EhtwV=u$nN~4~I-17B^~+7d#~mtJ{ z%;whF*=Z9=ttIz(j-ad9rYhNANNCYHd-wcZe{sE~97#%J`QUJZj+x5f$LeXg>oi^2 z)ZtQ{np~E zN_P8bVM%W)NpNjyN5$rJ{EQH*zE*{dd#F^(blgNxM5AocFq=s_YSU!d#Hjo%FwUxF z)a>kT1kFf$FR4m4#@=~!Eii5O&ECoVfEvi96oG58q*dI%Zn^P^vclhSif7=Kb}y^G zFxJqIQxf@tnE5#(wGu~qwW*m;8Ty`&&!}=@P}8KbZX_+Tx$%%ceqM1br`sM98;cG! zJi~B-SiRqvu~Q8S#Hlo;_4mQJxVbOi^_yO{+UbQf3k<|haZdp%$xkuPfnF%<1#5ME zM-1LwOt#f0p+@m$yh;v67sO?zNic@;jaxniIp|~?j-va`uSb~$kI%mxVTf^-TTe4< zG|N&U;fWo5k2({JxzY|6WoP!)@jxeZ@I+7kO-=qbsdDx6kdbI^)YslE9*9?qgOC5VdpEn$auK$%k$ z-lt2fO;sCJ@anvQKmC)%#VA+&yZ!kTk23>#*x&ptcC;Or!Wt4#z)Bx%zjRT1;s@Ht z_R7wmfg)JSoxf-kc&ML@ejk}Enh+UZ^rlC=5Z@)H{$d+`YXYP3cKlP}OQAKkUG=v1 zuh1=?(s9hi`eLDP1@gh1Rq}LuKJ!tGGbdo4> z45fzDj+gTBkdW}$Q}Hcu6rmP7lzYlKdC4j}s$;{|42kCI`5(UE@M{RiECY8EH+(9$4uX6<Tio$+v}8-4s)!kdUxvVig3XD*-Xg;a%-qg2Yohu4fdJy1WI5yT4XBZRT>96O{_Q|Ua<>XVhiI@K z6YtK~D3TfN?*}4Q;%`qaP3Zpj0}+e+x2OKUbGa^3OGl=bU^_1Wv(9P1{ThfiN=ixq zZ)_$bUqVCmipyRHkZ{Z#R3WjW51G+jAAz0j}iD?0o0@abv~J3UrWy1d0<*Gd!af($D5 z$2zq!7I$hKC$VcFu8rSUcwebQug?gI-+9&6h{oF zZQC&u9bHDzEY>ZIfUPsdELzPYW>x1cslDWO?!#26RU+Zt3MYcHrGe)TL)IG7;^Iwh zZ3U%j)>z&eHoqo<~{vvf@rSodlnthItuKmX1p2!kDGd}^j`2`DaUzqr~r1LlcymW z`}7H?-#$afHfgXTGh|dD^(o(jq;{oTRYbpc_h(x_DKT+IqMEIZU$Nm}0)(vo?BQI7 zmHG4``V5|gV+v$nja~O?SO1xbyQ|bQFAtP=-A_~%N@r=1)6V@y{02CV8Tq*rB7CXn zEKsrN?3#0;uHrwm0RIdD2xk~^5u+P%LH%c>0Ee$V3H@Gm68isp>HiN!EL-%+l`-IVHWsRXCOqzPb^<*3I4B(`Hai5cA$lHuWE*=8t$$$D zMLrTK0L=#?g!DDal_%#3Sha!g%Xy-XpLXlGOHXgy8875Zz)&&m$0?WyjRj~-K1-G) zM`7VRKfs3qnMLFr65Ns@w1(dETQ94np2qxS;BbJbQtGE1@HxM^>q1xte&^X%Sq5bp zI?r+Z?!aLc^%;$pumEqR8Tyj?Je5AZ&YsGC{`{})n-<(q@t_Nk2hFpqm_#3lSeBX@ zDz67XKXY!iaD1&VD`IKvC)IhX{&9;Pg&dhh0ISLeiXD)cK>HJF%W}At_NJyoMB8Hr zY9CQaNyo*c&>kD?g1B=~@nGh*bb|r_*5t*_KAUk zfuNwEJDUB;jhh|;k&&62H*|G$X6NTU-QCmHP-02hQT_ldt4wm$@2@+5x+1IbDyGXf zsxAOqdM_1_2?8Na0IU-HvuxCEKzSQ=#@8MnY$@1Y_5u77oSI65$%}pUfe(qB_xX}> zNTUcPLd#UE-tQKuFCa-QRXhn>Sa?0!_8GU_kovLARWovA@|jp&z)zi4`~#rP0b2IT z<;!>O+~I=N1KEbsC?(C0KY`bF=C&J24+g-)a5(cFE-uI2mBDf6qgAjpG6I5rST$(X z90MzyestyN={cstp1J+UI@aAftWI|N&-SPN=@c`~9+Np@;#1ClQVcnnIg{DnQLqpMm0D{*BamnZ0Wumh8M-2Mz zM+_J4QXpFkoF7+?bs-s_P7$FtXo^VzDjw8Ar3(T90RdQ^(@ha?5ez*Ie4SILI(^cw zZ@TI0>kkeNUM9aibNloUU{6C$P0h>8`{+?m+vyX;`@DvapEOy!{nnQP zS@Rq*`>YWJ|6+XI5etf<^tCHSkm(TF?rqm^T>SfCR{bv40(pQ(=DXy2?jJ$F5%_Op zyMZ}*1ynh^z$~Zz_ruG1@Mvk_F6im$nVFesXhf|wUb3CrmYM8KY}=pL1cg@wbW1p_ zULzVDuC7|IUePLMK8L0X7^dl1*$eCbmt=oT(vQULlWRC2d7;vTw_cfmnt;pzMb@oH zub)DosH(1h$jl5{tz6JNKy&_d*tF7kyrO)GrwZ$j@4-v@W3BeLE=q!=Yk92v2pV%- zes4chNf7}(J@8G-Wq%S`!O1o14`}$SC&&oTn?5ApFs24O{*{J$jAiHU-GKZZd0&%E`$=IDqIw zaN~x}TuWHBCpN>2Ty6LX7DaB9Z@}$8LTQe`TYV6<@$vD22rQb-H2UZe`asb1138z5 zLjB8!|IMcN;Xd_giTEse-o9(r!xc+~QH{O^E115HK7+7+aI zoPR+xkUj*3g{1+T|IqOF$G(4m#C-;h9AM}Xl~(6oknG#@C;n%N#s*ym5|YS>2s#Q6 z%}933bKKSTpXxoIAmV=XKJ*l$QZT-uX&F|j5 z)6~>tEzEG_-FrPMGUnU0M>tEw{`@$1bNUkd0%tw9#U})6$OsR&^#M#*#FXZ34ag}v2^R}v-KbnKcVs+!+Q*0t_S?YcWYKYYGIERk zb>mxtKTOGY72AcEUXf>o2ElBlHgRm@WwDC^l&gju_ZHtLYiX?-9%4fyPEXHTP%A*Lzod z*-t0_*F=v*jWU)}5FAUq$M2AjsH5Nm(8Vb}+4apd?G-;gwH>zS12!cVhsEt5AX&$9 zRq*Mj`|9`CN4KQjM&=MicI;;KW+WLX4BN+9uewFgqg;54|7WEU_j!uA&xTLSg`N@~ zhOG^TE~(Eu+aA1D?-!^~}?Klx81 z42Kk2*^m?))QUx=)6-U$@&mmj|f&&O(eMMisd}(7- z@IOCq)ScYAz1ZEK`QoA7<_z3ceN9aykJBOOPylB?{U6WOhW7^afF|WTeZ(e3S}ADL9GgnVhRh8$;p7+juE5x^di4c;v z=2{>2e>d!3gD!R$t8w^{-%o$Uk^?Ry6Tzx-KF=Y)f{Ci2pTo5~panuE8v}#%;yG{X z=*J+rs04k2CzlV)I&8j zf?I86Z$lH4lR;)KpE^NTd1aRogOZ*7MfLrbrlzL$c5HO?XQQ|iQ-85qYZMd^WdoxH z|DXs^er&by6u#cPDO&OyXv&Q0U_|Ne>Vk$7D*ygt3mlt2IP(y75+qd0g(hk(?5%Js zxp}-D$mcaAk1vTE?fDCmZALz*_VqI3vM~!8GdJqmH2uRnr&qa-Fp4QWk6W*7tCV^I^3sF=kX2_exux2DDLXoHF zS@`_`&Kr$Uh0O$W3FD3lxu#I+|BjWNzmIgGsyPXb1!7vcGsR|Vrm@Oh`KLZ-?owE@ z=bbTCQ8C$0>g#{r>vkibD(wy)Klq};pPS4#z<;pPkiM)OM(gh2V3c{n&5!zLrD8~G zlH_>FAFWr;$O>Z*ARynuGfwl9ooo1a_4O_8uOA^e zc%2_4`z>BFdZoAv$J0yI@*@UmW~>Aa)V&H2auzJW1sggS=OxDa9d)-NEsd7#P8JTW{;K6$mH-50x?@fHF*J|;qeofbh7Gd(C zFd%?@Nv|{p>3!K}>MO+w8&|Iz&(6D_J*H;iOkKqX?ja7eG5DhvI7umQ_`igQrx#r6 zAVe(QR~w2)jKle=3TOp-yqLKy z4`nCR=st(228)vVRBNE@nEh_ z!zXgkO4>o9QLx2yrsLpHF5J=eM?1@*;omi=#au%=OBkDEbK2D3$yrd4EzSRMhzPain|qaxHXp6&2O{vo-S# zGuA$m%E@UjD>k-=>bANuF@U4HKWgEdQvPtW(A{Po8DbAv90Kzb4@2yBW-Yf>Hg2*X0zd`z5QBE9AKVx?lwl%yF`xlNXLZ zm~Ue-&uR>!Z7)}vouAHq^KJjvM=ue-AV6yG+bM15*%mqlbXxklZ^v z-MeCFvwq{KendA#TFetG*J1Ap9q*Z{VopemONjkW&vsKK(_E-jJBgdJ@@y#E$3k>sMu;zu2*gAM#?h}>`=>jLBXoK(?o-jw4IfW zy%f1tX^w|!+lvWBp6a^<2MS<@Oz{&@Ln zQ;BuemrxH6c9dBN!nQp)>1!yCemNsHulh1yxEu|Sv%;tb_?%%*`EIC&vzWNJILvIx z$S94nn7*h~-(4rbO(PA8rWrn^zO^Ue%9GpS*yDd@bU1?trAI*a=FUCuV?L7)f#2)! zcfCdJOB{ECowz&aPbKE-%Q7N4?(&{oC&9n_k=S>DXO7kKgcOs6X1O2v_}KDgj=KAJ zIfMFrc6PMVxx$h9<4_IlRwB(739)JtH;coWSk5&8ls6l}sFM&}T8THuESl*7gXeWG z0^PF&f?9RZK*8dMxFVwyD9aBPDx2U0kfa6Cx>K8eu@tJbns_qF|8*uwEXZpmhzb>d z*N)5J60BsKzuniwByX>kk$b49(f)^F?=P}DJ{P>h_*60be&jU<)#q>eUYTT@m98__ zf6+jNFx<5G*>%k-o4jYkK{m)EM-n9=J{}bCcPRigf>u(s&?L%BP(;LZv_!$WzpU2! zGEV@(qOzSh1vlvqZ+56|+f}JX7uAjGHUiRHx3U`TnCI)cR*#!zwA)2aBwxOqtPMj$ zo7rBh3chm1VpDt4;&p1c-vLwIvH0sRu1}?7NUTyUG0EqBr{V$d4#3z1;MbP0hxLi5f!)OLu=rcLF)6LLIL1AI4J9h+ygvtR`dDsPh-c!hVAmH&PyCnn%H%(cA z)UGC4oyKh3=^6nwMIhz;de&qR5^gc5at6C9q7iVwxn-2Ls0E#Hh-;43VJ@s{DL>w2 zgKO)<$!O! z5RU!7Y(Iq9B@pb)MOaL^9q&~VWM<;pttFgYKKSJnnIRug>zlL}b>+wf+e!ntM#t@d zEN(zX@n$U!4t>c(ymPF}T|#5_647?Txq0n57#Kk*(IpM_Of-0irG1DT7XnKw4e<@L z5=U4cipq|l@bD7g(1E~#x(h7M-M)C_&j0Fje4|GZ;MeY?uuB{Jpy%S!pxXUp*YryS zN$0G+14pcQb4cz<>5Md{vj&}ej+NQ$!TQM?|JFkFo~2U>7|7jS?MnNcsisn-yYbR) zo!g~iG)cb(WwBEroHcl4q>6=3Nxa@q{AgzV<`!L?3Kl>8pIF?h_SSzh_?ht5))t~k z13F>|fxC;{DL{sT0f3%6T}ejuKUyt&>b?ZM$xB%M7MBLeaMNo&*@9__=(T;9>kEEX z4)H$h%(97>yQ|+hb?k3Ee0XNmAzxWhJwHHFT(8 zP}ZB9W(T8lS|FEqX1+OHfjTfSSKhY91kDg-YfER(gxy+PY`O=hDiGoT%myCKe3p@p z=3-}JVq#{_1rgCVLd?X?*)(DjpGIRG^}6jo*x79kH7P=RFSyeidTBC{$;R40Pj6LU zHHlJWrs6139DlJl0|uouQBmQl=||d>cUj!BnM_BX$Hxmcez7FufBq{NRa046xt`)K z6^wLf1rnHOmBEBq<;kikFy^BbP7aESeIN~cnZ1sPwBalo_KQi(rnnVi?a-Upkg}hf z0Cn&e8p~%TGh$zhb^TSX`?sWoKWx}{7Z-OG=W&%638Y_d<82r1RqC^?SSvv{8C-Hf zt9Q(vnZ?f@%oABFkubVxNv7$78R!3jeUID?U*o{A2n-w1!qGV0B-jgv*JZd~@=keh z5hehS{MlVpywM^kU%9M;+ zs!i^NNO?iHyd&uId{uWIoe#a%8s6qs)OvYLu8o6aPMgJKPQ+f3zun2#&uPU9_#X~B z6T;5eR#kPSYqSIs&9zj*d&W8w?4FG?G_;}HeXaEOFP=i3gcewfJAyRQsB{Lp99mQ` zFFXe@6vnJ!CORE7?DnPD!L;~em^lD*U_t_VK4TT>5$+fPp9d|B&N_Xf*^oD)KT}r* zs)#fPSzdc2txohMKvSa|#4aK70abHyQHw{$hRTA9*(7^Umo92)V~Rzy%%9fzs^_mC z(o)NC%*KjpUikU5dojhxaWbXyS-IRdV7Ic3t2jOV;;{}+m?sSk$M*e z)5Cdhsao&LzlxNSig|3#|LST}WO>(u@PVfNsU;t4#c2H|vufol8#0v#wk^QDcXf5G z6yulrcd#QDngnAK3kvdI%Ht$(+|ejb^H^D+DFuunG^24AXunf7aOkiOV z4sV)D|528Y*HqKG`k}H?|S8Y9I(-%jgNtL_4e;1?Ov)&$Do!M9;>>g`!XI-y*@R0}js1n;tOA zIF_reOUi{ibv*q&dw*m5Z383m5bP-M;;Gr(M%bf-jrSJ$@8txh;#XhyF9KIoEFyEO zna**Y|4yl5X2NZnh5{xT4q0*~S|8Ea>or1=Azo$?bzBVVl5)D?g7|)RKfFKLGbw+t z6Bh1j6bJBU5H6pgJM8SdWVWlHu;H7#fVQal3%B5-9p7eJ^$X}s?0uWHs6Ph!3wljS z+}cN1qAb6@s;$~?#70B?R7H|`|HTWr7lI&F9m=njI5OaSx3w|(#BxYQ)VZ}bvRT$}i6Yt* z#2f4s2q7Wc4`Mq~5HvB-cJHR}IAAbd7vm&ucbwe0z&uYoc%nMt+m@s;Fu0BAktmJ6 zP`sI;IM{DvvX;|7GOn(uK}TGf&D|g>m7lYim?)X1`go4Hkx*s0BDvS^Aj0&NmL9!c zwd5wH$WZ@xO|G6frGE4no>v)BQW*%T)tCCZI;y*O?eYyPWMW8;Pi(6v83jN5K$>^r zL%*i2ByunrZs6HE9$F8>6xhQB^vAVjEU%2|UW}_2j1V5?7gMqJ(a>y|EK?m>ZXAE% zL|gmpk5;eBI{0wTJ!o!1fcfN@iG50+cxc<3$z`imRE+a%Z*1dR!FOfR$#Dk*%Z*Kh z8yq$X=?KmMoC9B<0*)NB8Ycj1E~)TGX)q|KZv5ykE#8IfiQhrJKk;zV9R)$sH-ax!f zOEdkb1tX98>7mk#@1kgte*RHTLfVCQ8pLn|Vs8`jjFe{i-z4WfyHByHV6UmO)0fxU z3Sl=GNhRA$+XX9{%#w0Kt5~Lmi2zrnuIy76$@dtU55;n{XJgO8U1z;=R4;;TKnSQ) zAAkQdDAg-Y50??LYM}ao-BvGq^NlTh_`7~L?0o?vcZ4J)BzSlT(LL}1SP&zCq#k>n zt z-mwEH^R8$Baa~KGLBg!v;E-+T>S{v; z!KipJ4dmB1ZZBcK6R4yS+!}G0K}PxeClS&BbkoL3Pqg~7#az6ktmF>y^6GS%uU|7y*UKi)ELKYaC1Z51v^RGXqlV|?boL4Jc zxbk-M0SgNY1x5V({+w8Ux+G()t5+Hu0+=lljWN|H>WF9Si0{(T(ed(X#5mX>!=DCZ zgx73|w~G||A`&nd=YWQ}i-517ZpefARR3TgWPN?J=pC33#tzVPWYG?*ao{(UOvqq8J%2qyAX`gg6bVCTyeukZ%K_5rJlqbjm|^_Jb(c zJ_Ys{Sc6iC*%Yy7%fD#=n#zQpSiX3%skxbzO~xkH{IPVkXq5%Q=~wuWDsar+Vo!Z4 zFE1}C`2j}wHqb1-3RY~+F2eR04luU?aM$l9Q`Mx|O%Dk3j8+RBdNED~EyF}iuWCM# z3j_uR+V8EY!K@|pUVtzs;cD@0jXX}~RBq#6tzY0alnh|h6gJlyGK zHVCS6UVJ~~z4@L*KGkBj33`J+R2qI>JE(DEWMkU{YRt6kR~>vqY}&HD&dH;>;aPMW^0s(KA}>)$#Q%hD=B2me ztJk~h<1R3a+77!B{CImo9gPom1oeu_9x{I4+*(}j}N_TVgdr#4an&At&aNB zlg*ue3JQFZD+j`{#mxL&-FM?-pCrqKrae=zkwNyvx`hT`*w{*=xYs>N-H=>Wp92 zpFO21^E|(EI$DIfMZ=l_>CF}P=M*tta5zZ(VES7!{Lvyz-j>29Fc}INH*m~O4cHQB z9$svsPsuZj6My1osKdgp|KR%dfpN;!r<}46VEzQ^nSCaB$vjNt*8_k;RTgZE=H>*+ zmA@wnf9$bAU#6MnYM8EVHe)Q#jS1s+689v_%G_Lv`5331l{HX^N||g`_pXcY#$wJ3cI0K}_V}CcLXZ$1g42d3GVl;qONGp$&SO5U$E0 zj=(>K9CffCE%Y1rpM!=A)Q0_MziOo*N%h)vnO?psUhR?VP!(h)1%0Og|io&g2kFRO5tlfmawS zq(R9e8E`cPkiBcb7Zl|nwumwuWNhCRc(E|95$&Qb2pj+0<>BF_X*lQaW?qZomP~%U$hKnfrM__B#5P zmjb7eQi5)uruw4dOr1(5p{j8V6DjpBBw%J0Qlz zGD%MA2U?EK%!8M*FR0@J9|>dD_!dv&VB@5WwTnom}Hmo6vVV&mBJ)$ici*(kr=qDzf;;H6*z=FVngv(3s>;4=CP!uj+ zN>a}M989N&d}VP5{{?>I@n<9XQS=|nFh3*y4;y77znqWvmKTP2XmHv88U8>Rfq3~a z@DFASo1;a2`7!|dUjQzQ0~!oAi&}7siu=J^$g>!3k5Fa_Jk&ExY!LasMOZvo9wtE6(a$gG@3xVS9!=z`>gLN?QyDpJMt0MfoeA}e4_$_+;Oq7e>bhEU>3=)hhYuejATl`iBeo;~6?T3e z=|d*Y3##TR(%uehxZ^Gw=128pzCT@!v)l$zp+R?e(E_LACOb`15jkw8fvCjB^MT$# z$V=eR+1XhgJ-v+ViyckJ2e0}ckh`H^aOHL8kuuUt9dCbj3Woj0Zrr#rRLHAJVbMVV z>Z`g2zI(Npny_bzVz#RO3&q)t`^|@&%?yBAgpV?qG4t?#;1}w)E~3wlAL);kP35z` zw5fvjU&ULJ%a4Sy#P6A)z&10#5GxVQRcvvi0>U&j@nGg#R_=@Jmnfv{qT}Okf~LyS zXDMxq=pz0@N~n2w(B9m>GIKkY$>OQ_ug=ARZ__a#^@Svt4c!V*n1GU9%*<>9_J=~S zhQI2`5CZv0Y?r4hai~5%K9SPYFHltZte2xJCe|7F`D+?K$J-bO1Y6r{ogD5e1V%&< z6B3HuIK2O_XWa4Bg>%AAc8+sldN7>xtbmD@cIoVN{p{-S@gREg)Um`5{QmONFH8a` zO<{0X{u(5|Fs%sLo)X|e@_SE0yJ)4?=J(vtM>IJpR)4MdCQu^ zc5MVUGV8To^dCh1LHypecK_FujLWqMR_{y5f(gP?1;c{*1~&gsdtV-o<=U@}Rm&7< zkjzn1h?HffJW{Jklpz^Yq%zO5*7A@dO2%Yp5RoC7$3hu1B$+d0j%3IX@tt?9wR?Nt z@7VkM_827M6tQ-?$#{Q+ zMW$(sHEO?6larYj8@vaM+AJ6O_MfX(1|H_$_UIUs@*T0Ava$=@OS5HHD1S+4DGH(^ z(HQenB#Fv&11F}xe|c^jixeHpI2~{U%K<+OQxq;?p?CJ|y;kRH#0IttvsR7j6rZoR zx9iBu*N6VYP6klyc6hiHDpeyRBLq?k)o3`=Or&fb;S4WUJ`oWS85wOmW{P~?y?bwS zmHgwky_j$c+@@PD06jNFSVCanz;4?_YDc|ft=yCf^2(6@8m9VEHnJ*4)R^BDC3FDl zO#C>4PIfYdIroU2?pJzx`VSB2DRf_!mVVZ1 zQ(r9=4^RQ|?Fo>?O1dq@F26Ia4BAPkb~-zMMNFfn`EVaz&<#-;)xMja(_5E~SYey6 z42M4+4S4w@c06A{EF8V^N^tjS~ih6%s3JEf7(?EM61k0clIf0rMk;yX?uGp`nq@)~oJ9f{N z5NjJ7cy-}%Gg?1b#+Mjnv=WsBxDsoWt zLm=#rLxXq^(m)Ar6(JW0dJ7g<%}&+0d-=r$j%}q5 zUU|2;AfOVMZqeyp7oz~e#S%n+KyB%@lzbabn-+0%9wvKf`pX%ZA8{Npj14D27YGlzexc7Nh z;YVsP_FoTh^x#k9Dk&0{<;V9B;`j5o-b_C|fDr5Ie;hYx2~N)a++P{oz^Fk50$YR7 zy;4wk0VnIo(W7qD*0?9YAh5Jd4S0L5tk0UlZ7BB~VKWcg> z3!Lpl_8l(yh;3G6dWq5aA+v|b8OKjwAlptKbiF$36UCPI| zPwmF&0_LWME{uL1iW_aqSX*9Ev2)k1440HpmulpUY(94>q=fwHa?`W0<}C*YuW@k4 zkk+l*wp@o;sm**7mD6`;W=-bpM}JZ4>+0jQ;gc#~^Ygw6`=^y-;34eJUYy*&HY^qj z2SJ*!YAgGwhm*uZmc&zl_cUUiqsDUoAT$kex2kDUJ{L4JG^C<(99_E}sysA<*Exdr zJmood_%OQC?E6m^Mx%ar|{Cqy`n1&)6~7tEtt%^9YdPMJu+1z#3-y7&#-Aw0|01W{BagfCkIM2FbSrno zHHL0>i+m#45US^V5wJ59s6V}ltwM06#u9td*49=>=kBlok`>Q3#QXg{zwl-z=ob64 z?(L5a)f+}G4!75a4I84J`dJ&59+%FAQrxgw9w zF9YF+>n5@_VWT0;;^v>m7j8<_BmmgiP;i|4mCQtPIdTz5x_4q$2V^JKGJ|b$*9+0B{HZiWi9UN>MC0Nk^*vS zw8x@T3o3=Bn4BBH|Aew;acdA^+JBnBEaN@Gdq&xz(qepaGOsU0`;LS~a>6$CzqajF z4k5+A57B3;z}vSIHB*vv>GH5B-_JwfO-~9jMaCoH^Nih6b~s<~l@bzD*_WM(=X}^x z(BKH_;Vgc(23Q?rtyOisI#z}krj?@E4>7i&A%=SmL%t=)f6e^ z)zv~mLTb9JU0I}dV5eQihwm|*J$UdS5M}Vo0443|>G{*s6WYqZq0WG?C0_VA<;wQ7 z;iaxxaW}TtFu}pdgyqoGce4W|l|&+e#tIQ5FeyO?tOrdIvY8WLR%z-!NcxvX3&ah> zEb|W3o2jU3a_2W}KeidLcf>XDh94w|^DW0)+*u4JJ0&C}fZHf;;9PU)`{sGp*|+L1 zEC3M}9Mjp8iwGW;Pu>0W?A#n5KR=2iJ02h5`Bx_k*?oqFhK5?FM%;$U1=D9DKC1fv zvvKT+h{K`g#?}V25ooROn>SSu86nbu{#?@Or#%p2KYIMQx^B#03-FId+4ENhz#{HK zgc9lMN{bV)MKTWNC_bn$KcZV+(EUGbx;n*%B3PAgUy+F<=%euYrKNKrQw?=p8%d6Y zqo=lrh@@m^hizGv4gwzQ=FOYet-F`YG`q<%kg%q9&kPEG{$?K^6_!P-;aY9r^hH^)qLN6$u|4myL#d zLhGpgJpI{XQHLCzKK-u(!otFjd6&df%KN}tFMai@HNUe;zF%|p+U6s-JmuZyM)rkB zNu6HQb73QG@Xx906Da!FbDLj@c`i#U7AOJ#IcC@Og{wB@8z5Nyo_WkZt)-;}dcKCP zS3zrL23c}4!#-*FPgASUU0O4_%ADFW$)CecM7zIB23?>~cm4_?;f=h%{n!`l04L;4 zQ8XWHd}FZIx~?hwj;CVjlQbDQ!3igPPmKD(0lk)}NiJ@)&SbYM3BYokgF2|w)t_S+ zF>)6i=NdTGf7zp16;>j6ynqY(-y*f2KlHx=-}l_Y|Ih>L&2+FvSk^ImXzWc+I~GnY-=sp>GE?Z>4rL&?4;HuQki z)25kE>?2W;U11OCc&T4kyePS^(c)dQx^Yd#i@?Jvk?R$V+UPd9UV3Yj7Rd4BOj-Ms zcioUJmz4Fx^mH{l9syP{8LM6&lQxa&NNub6dx||Ts9!$O61bH1GA{bMKj+Ko(Shdo zxf#s`ZN7OLF4b2VnYSKPb6vEPeyP96o9mD@pK(^{`_F6s)*G{h+H0LuSi^Ytr#60J zmYGm9b`d@I{s!gPq_H{~YR!Pt&Whs>UOm-!Dzxto`7Tb}ma46o9xw=&>Gu{VL*{Dd z&Yj4}q40j)*B1)C$?A#kKmkN@^nR|`YRK^ta?P4&eFvgh0QQ(^y%4o7JX~DkT<8Y= z14k;IqOVxnysW#Y*Pd5=ZgD6MUQvz9Xo9-*Qd1m<_62^)es#zsa!EPfDFkks)w;;0 z;^er&+-vi030=R<;q&)jNo9X1xH02%!ei5oN{gCJR&J#WDH_3S6L(E*7&Ts=GdEPs zM!g7mXf!zx1}6o=3PjWZa6M4!h3F-KjG|d{s)F4g_DEDFLZEh7Ab+e`biDo$ORj>| zxYweHw%sm0Ax7@PItGmt`Lc+sn&j4V@;3cr1%GV%9)*vvu?&Q1t|KCVu8Uv$yWW%} ziC@j58rCRzqo?I_$FI^k#1e{Ku z-A8CuYIMI4JzGphlG`7B9}rI^Tsn0h_I=29INGbzjsM~0`|nb+VmG?zRxgddOJPB@ z)8~*h9d^`X(x0bgwuyDKfvGB<9s@t9YS)KX% zS4TI#xAMxf&pF^;m{u^qe%^RxO(~@uy+f8rlM~i2hib$9He6V&qcw~kC|>(sc8;Kkf0M zt*uy@k1#7Iq%}Yv22QjY*#xKqA)|X&(u!A5@G^uc#tLTiz`_`&8a1w*3pLL>z6$R- zkiO&5@WM>r`t-~E(FW$7?*)kiJC?0DaqYcC$2Q)r1sM*}XFtw`;vlRdk`IpFkEEK- z-YtapoFMt|-7nMasoG*Cpjqnpi0&7qi!9?7_3r7K_DRyzdAsIE-0Jmdo*qmuI`Jfx z{NYf2yNxtC(@^(DM6zi2_uUs*w&0pFI%I|f0lE`0Gb)`t`G!b#E4eQrYdi+wJi&=X zQG`jPhWv>BTpJ}PVWREYpJ-#;byS`~1tCysn@$p{QbGonN*K2{c_18J_C){U5 zH3L1j3$rqlP}}rC24H?>>;xJ`K(!wc8Zr|_C~Y7ndWz}-nzFw9#YDLRk65ijSy8_bqx<=o z-*+v&2)K8D)=1R-2cYL|4ED8@Ur0KMGCS1tpsjU!)Nd?PABF4Kb zShdq`D*nqeuNEQ%B~6cF}#4Mzx|2 zc}X7MsuFbPpE%HL<$cnmp9LM&ukYPFlT!T7T;QDCtIy(A?Q~Uz9a`&qWT>;Qvo8+K zls3?E7xMpVEIrH~=vmWhw-h}n&SO{^mbh4Wz*fZHXDf9Y$UUrp6aAVXZP%r zIWv&3zj6}rh=f$u)xODv3#+@Z98_vBhddBpI*;K+HA8Jd&E>uSea1S7yL4MLdAV5>MT#0t=TJ-j@-A^H+q2bhP5WJs}4Y)G=gKD6s7?}xV zpIInrpjlILE>j-9W{%P!E+BPXpCo7t*`nhbhpeLt=KaA6pLp&tz7Uhkq~=}Sc8%Y@uxScE5x6Q^+dM{iYxa_XejaLa}}}gO&kq&u#tRj z-n`k>WzeX;g9*g`_3Q5=^M(wcm$!F9GKrFFfTHH=0QG~Lo{vN)t=tbwipn7lw9e~5 z;u62Djo>c4*3bC8)yfAO!ko&S?tXCn>vs@E|2w}={PS+O>cpS_AJcyj925k&;$wgy zp@szNRwQyu$UdvF7)2wChW`Pe=7b&3bPE(e02T%T61|>wo3)BnrKxG2zlzTQH79ZD zEp*9{lIjP{`IPRhrW>0@dvXS%5>rLddILx?WayDb*9W*Hu$V$$kulISK`;#}OA3rp zYZ>m<6CHkvAR36iO@nA-!sR@84?R)T7t0%c)bR zu;I{X2ky$fhot9mH$8h}hVPH;XQZ?KTr3n;Ib`ciCi`*8<(gLE$fD&La)%o=j3OYl zhukIzA4LE#CR~16fiasQ;*r%hI%kh=R8WV|)DC25H+L{K9Vx%HwJI~+yyNR1)Lbg3 z180P^(jFrH8Z|IY;B`&&+C~ezz1acb_%N3V%`0%p`1q7m!>^=lp{`J{R@vLz)z{5Q zvcVP}M5D&V67EHn%vfNO0ms15bctzYD4N`XOdSdnjmf(3NyRH_YxPlif&3gNbt+__ z0R{I3HPH=``8O(gGWt7ID7?Pu8Op!kj#A|jK7)5BG@ltCZ-P1roUSLIPyD`*kB<*U zYh`8SPta6@=)8L9x!cv%$M9|j2AXg#mkBacqir*&!K`6q)X=@-0K6?;hCS#r7$qO5 zdd*~=94tSQuaA?f1ffiW|Hw?ti%+on>q$CpUmA_Hanc|&5~+M)KgCW8n_Hf!cg3?> zf1a?U*+OOloU;Uo0eJX`K?HR5#RT>uagArT;jJr~RFgz$9X5?<%?W4%VCBe}ghN1V z_)R`KiJS%aY_qIm>OdR(ZHOu!HajeiZ1)Bt7ae4F&BrHINDz5cad8b@-79M$z;Fn= zxwmUB_554gqHoh}c=6gmMFMPqSJ?qDS%Tn1GTLI)Mo5SNdrXMn?aG|UR}*)h8U$aq z4|F2J(}!5tJTlwRdrJ_0orlypTAd<}$^jh=g-X0SqDc?IH!ym|U*!bSF+C6Zlc;9) zVRJHG-MVMbNnKT9+b}3BPp6KF%?xT~1aS$#3vu)ISs;)2w{440F8>JG4-_xz$>dd6 zfwYh;#H=xLUALvlf|WMc`1m-<2R?m>88A{gMo8mm4PQ?yAw+VB20mDAjK@Gve|fpD z8;h_`w!@fSV{8kuPtqix36GBud24Py-LNP_gQ^f-P7H1N3;G8kM4o zC|cX18VJoKp`vfF5wy^_Q4h}I14d!{_7FFA^gGD2H`}1`hI-X1SwLQZq_)k`K^3DF zCDWjtr}UhM_(t{F^8gGZFtB(Sq7f>bNn*>P2uHvpSfwS%CEbqQUM#<^*=*Ti*OX!2 z;aqc93dyi28HeQIT#A?F3dAZIZ=vQ>i<+c5Qh)^*aQz*`;w5$6J8tHAqvAF-Md!8N zK_ug4t3 zX-0c2)W%ia&!JmUN%!e=6ICyEh;qE|w)A6{NS+u&CEPAr-VHI>Mpo7qoNye$*zD|P zU%Ou@Ect*T42a=b6@*GZr?_dDkrqo~3yM!TFYH`g@*ax|6B3z1m#f1>v5!#0F|f9t zz}qL<>_W-|R0wO_kb24ANC<~#KoJrU!s{gl6(I(_h<;ok8W1E5`c6}5Z^8KiT|^(c zx|8TH8e*mofenBj_>YC9f?Wkb_!`zd=ONYr+!fNZFsk->9q*I4D6Vu~$ zAxs?1n*`4RU?hnSsxa8FX91kGJ4kRF%iJnDRD6a*;1|jk+`h^Nr4Fiw})YPbb-ma?F0+%c%L(D7K<5}Bi zGB)n1%Nb8MiE_K_c|d^Nb8*+yD9IXO_>C92Rw$G|8A>1cxt1I!KB8jd0}1ZQ#k3p#J4 zq)=xD@|Xt16^0W`KsTWy2_26{ik?}dAPv@!iHl25Ma4kt9b6(Z6DSoSMno4%k`ExV zHj5L0RiGzc=0XVSeh@;q!M(50w2F8dC}dTo!IjyBeq8|`3nkCo;7~xg&OB?LYM-H& z237-&;?(UM0g?c~b~L9Qdz3oe_qPJLL+$_6%=owc;I zPJk(F64r4a>Bf?s_ddj>o+7ldI%4>+$xLR}0$1;AM+E+-Cu zl-jXSdv@)5J!(&cgEUr!Csf;VY%X9I&h3ILw}C`>d2SGk;bNK1buIw}Hg&c}tb)sGVPF05+- z9)tkjp(`b!s!`;Iod*wDAMClNrM*@?rBIHBd{Huv5hQxS%T8KoBQ8>aN?`AE7hVxK zN19u~!Rlvk?MI21%oG*83kT&)zM~ZY%6G&r@_xJJYYS~`_#8wNTy8YNs_M(dS_rlu zqM*PuctD%s_v4fimzQ6}-WF=>(c&lC-?XFgw8LU8z5{Cqq&yP`hb&;8z^>=xUed_9 zy@ylMvg>IXSKg=Gj|6OLafY9d52YXiLSdx+=tT4)bhe$`#Ze2!Q^0C!gS|Llq&gI! z;|FKG!?J_{I?MsSzAnAD4)xbWezeYc8^uls!34}In4)nt1rx~!eZXNC4szLIWUG07Fdlye0JR0H2Vt8&<>ZkN1XN!2G`$e8M}Z)$85p|K+kjg>AyZN6NR*Bu>-i)N&y zCD_znZI1Fc2nmxJ*LlKt0@3SuW zI-E#&Ld$K+_bttxsO5KXL9e^{xjDN}?Q^^y;PNd(%6vy&AG`0C%Kl9S7$^QK_J$X9I-#>@kX`=k==bJV1!+(FyE3?OQTmJg@ zi_cFJ{{FK3^Z(!ecu_UCzwf-;?DoNTH8qu<%Q~rzODiiLH*Of{)0rg)6=YYFPdO3) ztRm{RukYDMCf>`6CZDRjR%ZCj&CGV$i3$ofzJKrUC~Nt7Z?i{Ke7r}0-TlT?<+g0S zJdN06uCA^YpQ3a1^15GM{dJG|cwBt^g+Qx1o3F{6Mzz|W8P#{Hn5JiB%;vqF8Tb@3 zcvX(0f~kX9*86ic`-K;F+GWboPn-rmjt#60rG^C$%FWKsj<#f`RwfDP7bsY4R#vX% zKAUxyNlH{w(!k@_z{jX&V~e-`6p|jt%-`=CfB*XR>lDj<`}WQLuIDkS@;q_kgfA%t zqsZm{U%$+)tOk2~sSg~Gw*H!2A1`KQX*uFi_3@c8ZES38yr})<&KLGI!E{Uq4pdZB zjC{*pTpmnPR#c3wtoQTtyF6uZvFr%hvlHD3%zFn!zd06NBxB6MaylvHNkJqBnv^4*aU&+bNROPUxwoAAxwZ*!o zGg)VXDk}~v-Q`T&Zo%@#*w`3%Y`5H36GGuxcDeBRbNzDHT)3bg ztTS8*ojK=n$37D65fVFt1p)Iaf*&U(=`mIPMxxJGR0O=Ki_UsfyZ@9#%cX+09xrt%ZBaw$Zp9upRxYeH$$kD~3Xu{CQf>}SX+gQUd>6#M2y@tyxRY6P7esyaLX~QPVhDThC^t80JMb5)bK|z7^@#8yKks1+w!*9wJBj?}R^;8+PG`-6~J))ta zdKLFAM?b>E7Lg>`R(4}P>**GRS7QU|$NKsNQTw>3Y-@F1=B$RlLvNRy++X0`f9|us z>{!OZC^b3;297el$a(Xh;}dOpEIl)*4P*Q=qqX(*p-i)$$n=!ZU3-t->>lXteQm-Q z@`Zr)UVkea-f%ME(W6Jvd>3Zw9lFZq*>fCTu=uRr@A)}9_+{B+S>OjgD8AtJ+?=zr zvhs`8^|h5{4K)b?M)cYD7`j#?wMgMKZ}s%F8dEj z+%)pcGM*|iR#sNCR)%9|+P{1W;~#FxY$nW)`mD{jUH$dGQIHprqnBqKl^R=z5-?=& z>wT!Ys_Ok|m&i?OvQLszO;4UYIh+(-iEQX7wpAv3UR-R1dKD{V)$Oz4MF<}DxO(?R z(os|SQm26>F{3jCi5qjAtZ7Q2jM?ks#8Sm_pZTRQGO%M#&YfY1XKjfeR^uTbIf11QS~{R8oSp!w>PQt4T6m8lDBDr(Q|AjI>O% z6pgvek9hucPyT ztJweZ=g-7ChDbtRK$FIwxQw)JQG9zTl#mO%Z1yfZc*t@&CMMXu^ z)uOVDD+y1vQ_=q~&mI0W<`OdFYV9#Ua#pzk%Z$&&9>fdV^x-u&W>{!ROsb40Pns5{ zr>AK+PUYyN2mAV-j6G%{fAVCEfJtIZOvbfe>{Tl>^9tp25lKnafC%qH_m`KJN=Qky zJ=HdUe|Mi&qO{=D9=Z{IvfHo1IAf*Uo*g9Hv113K>gt`HbXexMC1r)4Dw-D<7W>@DB*sKNMzaIi{z$9Qbwl!)&`%(zL(|;ao=tAeNFO0=DQlNmu6uY^)HhlgpoWB2#5wZI3 zk~(W#e3`EL5u2lkWA`I|ggaK(Z{=mhmEO&)@4C7YTBC+DkHxz&qL%m^Dhx_MJ$q0Q zE4pz1wQM+9nk#ZrjOYWm6pL3w$OmoJZ?7OO||a%Jt*y?_7y zagT+Z^UqVVvu!^`^Z5{lIjS7zl5_D1z!nIkC>}j#F^5M(Za1+R_x1@rIhSjI4vzRj zz-X$enJpGHX{o7w%r||zy1FVYElrpkreR^poBgo!_Ec{GODj+g&_G+B2_*%E%hjuy zK!9!dNzp8Wp& z@Uocpuodv&yYKA+lV}HXfg@w>h3wBZpO{W(xp3jaI^+4~46VTnapwt-g^amOOnPqL zz8yrvQNV@_AOeNlnZ6ow8Lh`?5Gh#^b)#*0!&K@YKYmo}Ir~9jSERQBM~ZE0j_DSc z>-HT*y?Ie@rEknV#iezOV-Hpqdwgcqi)<-+dwX-X3Ygj2N_i~UtvB1Cq!u8+@1OPji;x|>Pzh=G`t)XJ|g+21}R3^pxK zsaKT3uXLqUFiB2dKj0UR65ul2r0B7NwZ9h@CVPD*Ej~Vep%PWKsau^)%gC83HrWQnGXzt<@v$*9 ztn-EM-YK-&HKr&M)MQg6-e7aSwI@YJM&^mz(LO-8&PCT4lMC3*#9g+C0_B-^>XEpq zvu^~4mgP8lf`ysb&T+;lsT$%KqFJUhqnt$Vg||zkh#YG39sPxa6^9lLGj-Cf<@|P#lhYjk+M0Vo)ANv}T|~4uvPPjga$&SB%)WK#SKJK$*K005 zK0XV#&rhxM?(NJxl_aAXlb;|VE1P62^k6N{s{50Jv(>%OP&%fYu0vmMbzk2w!P z+x?2wZ*}IAfOC*i>Qy&4jvr(Kg`LeM53QrThm!q)acqU-fH;O$1b#J|tZ1^VlMn;i z!^1-+=5<2@;Iv0hI#+tq*qGh=NIp;i^;S9Of=bJJ#zupbr9my3<#*O4im|DL1{FmO z-nAm@MtP}@h{s%%6@y=rMx`d%`~oNTd}GAb+6ya(DG6vZhWdLw(cUj=m;6al@3iQ& zh#)TyPe>kVF!JI~wNv=hxrm4e8b-#;OPSR2=wL-(xZ!-agmpr_e8bvW@kym67bcrM&{@XwSdA^0>Etk35#M zXi#`qH*zhDlZBcfa~&|DCOU>w`;e4WyooyPgl(UXGeEkvN0eF(sn0a-#aftA=I8t7 z=7_xEKs8x}mYL6ttlW4{brN4#VBl9hLeRZ?zeBFFva$mA9UJ&iwIe$|H1Y9i^w`*; zZq)W^N1FO}!MnR9G6;*4Nl{V77hm5-rIC`5Xgu%*eeZHoHLWXOr1yzq9T^`PLzQyR z6&|i2qE>#ZjE^YBtUo>+p=fw0>m%cn#Y-mN{6y1c1qC73q}sUWsf11ZG%)d}C(BFA z%ir=$On!PZj<**M;&V|%m3*d8XP&V$BRk%Y>?tTLM7(_+O!DDp9FI*%FarLUSHZ9h zWV|@kc=(0Bq>+$-K-fB`9uhtGLdiO2T|2`y$LcjDv8F;Rt+GqMKgUv2Q=9m#iL6D` ztE8l}$g7}Rdaq8`irBV(wWF4=>+#vho#iT=EdBcRt7g3D^sPAO9s7q=YB%H@Z^v}tA+ots;l{>3iytkF%5$`2y~mAuUQlKG2ww->EarOtYL%kZ%m48GxC zJXz}!zgST1x!g3=Anmzyr7TS=Nd`j^lgMS-PF3sS+Q@+4&o`akPRV?U+@|pbah|lx z%bPpt7KD1x_+={w6`-!#_wO0qb%(y3d-m+vla?Toz1qXdRDQ&9i;YRr`68bt*V<2g5m2tiR_9&MwN&pMaO{n3T{W0_?&6KUX1{zz;c zcC9#~ixUZ&u*lBA(QF^LIPs~G#%tIKAHMpO=HsVNAxYHc-Gx-^Yb>=HzW05CH(xG} zn=Hh85ka+>8!y#SHP+}LCLKSJ1K4!mfI$%_ae6`(^b&;If@^eY&zZZj4`>^+34dyf6 z__VjDqHG>iL`Bi@*)``Sp{<6TiUQZ9@b;{ymlu#jmFu{{LOsWIA?ilIyt{XI5r%;o zH5V$*D{Nj7@n7qB-(aVB{;?O>C1+J*W99_0mJ~&DIjThI>rEg|n2+Dc=ga3@8Tb@K z{v$Gp7$~HuN{PG9!i^u6Ky3BEl!0lfbIJ6QG$UQ(!!QYKdhLt0?Dg^C* zsmLttej?te%vsfBKZ$)udJ<~uY(UzWXLn>1rBCP^P+Oy--3Ed4@uSzhfk%W+a}{45#c0|V*Dvm16{a$YTU!`|Z4RLUQp z%Pt<=H=UlewB$}NE>Fg#o$?Oz`u9pKO$yB}QH_GYQTl=LqbJIL9=rBi!+=rc)G5I3 z%Asx$N8Dm!dQ^U>42>rKdtZ3O|B2`ECavX}f%fTc0Ca^Iu|6%``tAV5jjJzSyg-$f zyz=uEkwQz76(DjoT=a-mJ zV!6z#37bUodDzIoxmv!&-@%xAZLY`^Q9(a&1XX_X;@PIsYgVmem5be}^CSB z(~}Tm-UUa$eEgUNsI`T3*V1rC5;)47Syir=Hyj)$L?WKwD!P9C`f4gKXvre|P^Gt% z`w4vv?sKPGIl;7m)p%I>2YzhH_=x$m+Ka0J8pH=cK z{Z>|4*^RvF^*B*`10pHmYrw+7vOcQNVJWRW9H2Q(S99m<^F6%V{1XKwB_&7551Fz( zj1#dHUEj{sH##s-69))*Cm=uojAUIn>sZnw=IO5|_Q}_U$*$LRaImp;Rr_pUfS$YB z?kBL&==1Z{rn2aUBc8oUlcmYY2e+tO8~J+^;%5|gmTN9##K-U7*xaPHo#M0Dz}3(y z^5@T=J0D&xcLdJ9cm>gIIE#w1bK`C>Mm)*N5>A2gTeTJvYO7(V>`3Xm^fXsvOsh85 zJvtHv2GD|TQuR$vn!H<(RF@qiWIlfUSWr+gB(MqUNu<4|6`lDaHXKk}$&~r);6IRL zi^8^;uU}8EhXi@epHA7)l5&~WV_&_;;=oYQ)45cgOa(mw0Q^3!`7N6_e>bw6e4C=S zb0btW$ki9kGNF1Az}!gu$vXo&i|ReWQ`D?`SNoTL`ci&3LMb2X!pzp6SAI#YCFCF( z$VrRr)wyOZ$xhm=Io-+|^RgSOx+_C^<#TVuLzLE!uZ{o= zII|)uuUmIx@rR8($EcaMu1U0PYVZfXjEuj3+(sD-TqP$0k;<2mV{Rrh ziPi#>9mUxTJo$F*$Eqlp;teCc9&Uu$c9j(`91iw>K`jr?LkP?WF>)e<%u`Sx<*8*3 zZS_r(-Y@3RuXm~Uwdc3bot+nY26`3PH6FfdZHk@drS)zh$~54exH|$}hpm7i>~^e8 z4a%n5l)keb4)_QfEimwW{zbXT?#kt1m5NPUNCQa^aTS+cPfz;s!_d2QA($ZlvTzgJRL&PY#J?fg7+ z?NU^WpWjw*i8bBG=T-+b?%6BP(NLUCQ3x6u8UpZxCX=O;uEujN=cV^r+0gmW(D@_90kyh>M@iy{~6>K!{2JVrXYnsr*mZ{5{C zJwxWx*)$U&8hbhfO9)lI!i*H^6C8eDSsWFXKE0eWGc&`#tXzZWlI3&F+4=K_52h3# zTG&U@tk3LbeFt1vFTp3d9{TibcJ#vh-Sf#gFJ8VBca;(sKTn$`KmF|$c55NlW}!^+ zy421)HB50=11S~T5Z#f^wN1Z7e<5ZgiW)ka6LrAsVjW$VggI`o-72+ns&o3eG*ky{_(X_%59>h{r$Uu-8*(X-X1t+d+gY;8Ax@0RNm+P+Q*CS zyUM=R5?=x7u?X^D=AWe7w~t;>Pi;&~OQX6LHor+hX6fe^`qaeO*kzEK`y4<>c>Mmn zZ($H6%5L2rRGp`XOr38-;3Xhqiz1H{(Fc#d2$AkwJA~0?H8Zb4{qS&k2kqMVqf91^ zPoSp0t2+Jk{$b^&(H&~HCm%PE91{~0OK988;g|O038S%|hlGcCq4bsg9e;ZP+W0

&Hg|sG4c_8oawT?bZKO-_Rgxe!2LFZzujGP+H4b(~tB;BH|Ktj`88JGcl^}v$}uIDwzjqsT!CLWXjR*m zr`muEXhAaoo=c*4ysY)~+Q3mJQ58T?MbbKSS6qh(CS6OjtvkVNv+Ko8c?^EzgWrpfh0nVv+T(7|JsK3^{=s@WD~GAAuQ3$F%EI z7fSi`uiC}Q9;@02aDaP^Lf(>iZ?rvQe<+`>13$prSo<~bovTi%=`2LDX+2PB?JJ82 z#Sqw=fQ^d`+nUckH&a{}=VoQS6oW-N&9*!HICs z@=!_+iyYM+8XA{VhY|$MNiT%l%b%a07nv#>?<&{xIB1Ow@${@XNCuviUh~(b54*=0 zDM}oBTA3L}CMUm`%?7iM)(+7KI>yg^*~6w5_~HOP{re}wj9!Mi-FNcykD873O++G& zo{XJoQD*Ua*RcxTe$~jbV(f|Z1j?m?{r5uim8`}9`eh_Xu|S9v2-wz}76~%fXWm6F z+^x!C87GHY2MIh=z}k>%>y5tgzCJUvLnI{WLZbnV`rp!*h(aY$u!|Spd~cpo?X$zG z`&5J(w#o@_RgJW;y&0r0iv*y{T1`IUXH#oI?P3>}@; zKMkWp&e2-i<|m=ID1+sDeLTo^?P}@HdCFL4wKm1og2a%NjagE$G+^K)5NR0ype&V? z!z|jR_Hdc3R!Y*ie)e8un+#fTO3;^G-F15A%e-+&0p!)Lm5Fi?T-H8s z<7Q;&Evk=om~LUAzWrK@`BwR7&SJBgovwB#UWO~^PT~FYpWKxMCQcbuxZihVmn>^; zKy|B(m|A&{PHMfyOJ8==rcHLG;MS{XndPXWdG+5cj(}nc&T}ws4FiHaGDI}d$XryE zRT_~h@26mrj4ZZ_3I088m0-ufH)gPReoKKl&E4fNd1f9VTgv;%AhKCxJYRyC1a-Dd zAau01Z`-=H=<>JAp!lKBSe>P`iQk8L(gjNBJ|RnCyYKl5L3_}a;9BWIm=D&+TlLXD zg<@s$@=7l_3|_rwk0K&;!6QP~-$zX?CmRDw!3PBZBB+Ff#J26*zr+d+!X^S*Ek`@` zJw_H)^Y?JeQ19C(fsY3nO4TJSJ7@ZOmwYW+X*Jvx!6lGPlW8Kn=mL+%CWEQ?-H^Z|xxNmXdgsd5J$)Qbpc4#*9nYjT4w0YDJ(tUvH2;d9 z;bJhDAR(tNJXhJjUPEJlsK9Z2YC2Mr5tnNod2qn@mGe6VGL?CdS zdgMO#{W$mOE2us{h%(gFWh^+IcF8wHabE>v^f^H+D;nv8Z)gfl@ z071!-fUp5Ib@k@Oh?5{gAQ`kL!Gj~VH)ME?2+4N&i~$B|E)j;vuwJu4a6_C z#ckck{FT?pZcp`Wtm_SGv&)WHHKnPp8d0*yv@Bj({h18;ynk@8uzcu

cww3(*RI zV6A!o-niV=9+B%w#v^jMg|j&+=Rm5rg6S;&DRs-Ct#T@=s*Qy zd&=3_8G+2bW)6vXj9)Y>(xBXx&&S|Gioy=UHDO1rs@J-pP16xwWB!F+Rg8|$wI0Hv z;C-5-CX5gi8aklGWMpW#Bv1>=`uUI;(O~r;2aV+|iNyPkhl>*oZ=Zrl2f+dKDK`n_ zbdTnT1EO|&JD;?#_d?syY#)3vVfI$oN6F5I;v)fU^QV(MXLk7HHE7G?`f_ONj4!+9y2))k zWpT|leF7o~9xF2wDv%v8LBv?gjb~yU(Gpz#*3>nVb2jrDCP+U%D1u;)e95o;`S_?bNXOr=)^$!e8 zZ`uU2gW%Mal>9*mdIjZZ=DQ39)iT1v!{v>B>)&hAl9SuCvK%?RxR|G#aj${Z-7~ir zeR}m5N~9B}O7L%wBwa2eQJ1N=18>`Tf5bYq$Fi~>fq_p}*2KAZ1w>9`(YAGI2~N(s z$QS@-YuVzPH*bO}8mf@o1L1!C_@Wg?Y={ckwMKvyOcQ;L*+E} zQ%<+LHf1cLAlh4)F|>hPj@P*2d*oov5e|;R#cW8W*v|6=YRy472aaGjo5H5F2%B)X zr^bxE(vvX!tZz2G3&U4+b#+ow(!%z8xw+%G#~#0L*REX?h`npPkoZ_XyaEhE&~Kr# zva+U8S|L)I&x*2dspLI9J&U$fE3TY<+)6aPo}k*=TNA=Cr<@fp=E&U@8g{{ z&K)~UtMvk(WL|gxHBfRy93=m6)vL~0YoeNh@^U#zw6N*RbMxAz0soCQg$x=NuQ_U; zNr))=-($5g)v9Z03A98+rOq8Ddjp1Q&S)rjl_v00;AIMe<@yXvN&4pu92}kv9qWXL zE7dKCf6E*?$`s`#CE_>K)v0V@;De*>m(}B7HCdRxB(0hiEO|iNu>6w9cVj0xJ@3WE5gybY1l}v3efuo!?JK=j z7XG*q-KXUTx6Qlras>%anI?kBRnz-QPfyQI@ZoAPsDowrpdS?_C1qUm9K?6xqPC?d zhP-g>S%*mwz7?ZVr<&KV9|INxSFb~_jhcuvbe;GS8yP7Ky~ev+{H7n|Ak?y?k#aZa zQ>#h%TakRCvu;MY3~U^Vrm0Ufr?wet)o5$3(1GILgM%gLX`t!$K2@X5Kx0i1zk1vF z>!V^-GQb!vyb9;CQLkV zG%N{j+>MX##K@=coFMJtu>yzAT}F|QCsbe%spmJTIzUT%q?gDd1nZmjtn~>xc1tH@ zyoQVd=BaQYo!jCDJ+dG)Fz~0<=@hN0Ie=ZK;2N)7X zZzi%_gEs|;WKBIlk>cB)UDuqP2;(I^OA6QSqoFa2UpX-+OkNUwL{Wg~*yXf*a+g58 zl~qLKtaH1bWx6Ab@o% zaIQ1P9jHUIi8&gn-cNy@fKSo@H&ERRN=ow1Kkq~ThDTILNT}1v`S)u!Hn#c%sS>Oi zN+x6tEQ$S(m(z9k4+|K+d{v!@efbq&qOY%y#0lxSH`HN;?qOa%5hpehpr)$2{5#%p zq%Cg}$k@tC@3~oxmh9Rb^f#|q{Ons&I4d~iZ3}NEpTeoe~OqAA_I`MJLik0^F zP7}lPaPrytv_GQHOb&&%gR394FJgC?9r|IDwBS5H~kSy@e?`y7Y$#jvy>J3Bin zDhg;4UQmb`64z(?0|Uw4ZY+I#=8%YXLX@L!_n12*-AvG$W>`;J`-!XU7ha6Py(2``2g!vP;$zJGO)@An3$p_$Y|+y6A##EJg$39sU}+xc<-J!DrHNiE=AGRD_80o8u(xE zSCZ%C=H}+)AiW|d0u`SZ7JmBjrOjGc&F!7j(=*&sQss{x9Y~il)5hGfRSs(4>9WK0 zHOTJ0t}PgJIXE~{=gc>0NGuVL;3)3)K25l7ovC!Yqpu7B5Rnxw@!7fe*u^*$z&C_&pOn)sv_U&kQAqzrm)o1_!9V{s$>B z&%Sp-1r9915skjYXg=NlbGys-8W52w6NmXgaY{)^rF)p#KxxFN_}E#1H#jxb9M00n zi96|Vf4=9)>W2fc|Je#L6ix`fx>aC?h7~n&JNnV!}z!xDot-Lx8)@euB}^zw@~7~fz-h{88O7=hfTw)iH+`j3B$vx{6k zB04%cHZ~KNqA4$byUB?7c9IdCKJU#s> zS-imyn2l~J@IEs5`}esg8vBSh6Fz@f;?i2(>(0({xVvz%O$SGbIsEEaMM!$U)YKG+ zkw^g(Z;a!}H`L0^%uE<%V70o8;sBE+7)*m*T_;+@`tecQFRiKU)|Yj{uLr{CiRZB{ z?(42;`f_)lP)CVlwQU=JV{*L2wcn86Zh*x`h2ZyhKp>{brT2i8&L-F1Zf2VjxEnZqJ+ za5O+oQxhO8B_qQM%05!(928SbMV~=u96o%qhue2MP+#hoDQ zV?1aC&we&U&uQl^`mzsB{#l4WOT6jNx=^wn5fpq5Ed{#PPXX4LxHw5r!8jyxkd008 zbrmsZ9u67t9@lty)bw2-HHPYOBo$74goJzoN>7r$?u4zFA8m8QaSq%;yYc`29k1*J zn_695s*XlkN79W_@aZn1A7N8@)wDb?yqlOcSXQB4a@UO>-c`i+X zfx~@equPQC2G5p*gE~MtV1Hj?hy=|+t0e|nGGy>pHxrm509sVP z(COBerp*=07GHS4r;HZUo540R1QEHvB>>(+*`hU?5^2i5~-Fxvq*dmGFZZVJvhjqRj}h<$&BAKP!lNdTL5C% z-NWM-%~_{9LQr7fK|e5sFbG+ul;hHg9xrh5AeTV!SwYoMbDkP!&zc|Wu3P~@CpLB5 z8%PBcuR%ZP_{+E#{EAabzxw)!oYCxWP5C;E7Y0Sv)XdDr02ZYydAfili1}q|4fsy* z0{Y(Q3lX5_J)f+Tsqv$QXmz}I;6s?zrFcg1D?cHRXvW$Q=}gQdv!J{SaMog>{Ti zr-F6u`Q1)9EN&mXXc9H`LM`3N*;#mX`DW*x%JHG0r|vAglP^k2+yqxAV|ev-J_PKxQ5IcMhO2~-zD6G9I6!Y&Nfi}(&CfrdbV ziehTx+{m|(RxdzAVU#3C$4RW1V@DC!@#9`t@b2zz5GbM+y3kV?k6t9H>_WN1o|TuC zp=e>09fvLtq>T<`g40{Qp-`n3J_%Iw_C?%KKElSPnII{0a>HT;*e?QO@?;)9sZ%f5*f?d~qzAr$2e}!n(1qo|mMN+yhEq z4st+pe@nKWBg|O%Hn`a!MVoyBho+ptq~EQ54loB+$;C{56e656TOKR?qS4-fjj3K+ zxFD~BsX*!O-skq6qVjaSXLF$?-AK>WNM93&%bpr^|3r;KV`QnWGB00h~ugxd5(X(3X^v+TY!P ziuLBr8*46mDCe-nd83%Yee)gDIi^$4*|I+CtN2I=aPzaX%_Y>u224<9vgnXzLeonN zT}5CaQEhq}C&BL65G*V$fB*iC(?=aA;z2qveqV>BPGhxa6A3viBn8^3N_4ZY!_-bN zC+>ncP>k8b_tbVM(=s0`mb zABodIQj(IM72>)5pP#Uata#BjiyPEv+6z z5e|U{&ziH!$gE>3^9x5Yu#I`_F*hU#dkbLWmhHRu@~wRx{YWhjl=sYwm@seOyxGkn zvr4pfmA>t;$Dt@t!qwp8?7J%@goRrk4bGm*I-w%)EBD9~De285CoWIUu_hG!jeei# z-J}283s6#0D_GJG4)3ZGAK(9if>BxiAn89qc;_fi;IO7)G=m_7f$&@V6O8*HAP)Hv zPZpzl3g0E&C3St~5;$qrG_cx5PK_mwCO2XhT&i#g<5YsABH51JyIb{cn&X3^wX9;A zgXx3zS}SGl3YGj23EO?3LvSR)RH#IBsSNJvznsz3=GG1xW}oAeS3&t{Adg=M$qmSJ zm^gH5nCQ^qpttR5g7&WCLz{MBECpN310bGyE<2PtP5v=X5bPR>J`iefnuzt^#Y)lV zAO(@*NBpF{S6`yu;=B!$pxHa*uVOvQ_=&-pM<@hHH=slLO?5{Zr!aA z3}N90{pBorafi&8#2^k4Y_+dqBbj4kz5CJy=M1 zG+Fx*f*2aKG&PYw*-r;Bl41O7&C!P?R~F}d*d$k4>+0&he7Ka4~r-)e(_lMS~$)X)g?#~|p7!$x*>sy-JNJ-JZj8Yqcjnj#E z#6yIUqTF3tlg4VR++Hj&7=X3aRqy42n7-=w`><=zyKBl$dV8MZ6z4-ckW zwl%s0x&Jh6oFto`oh=73hI9cL&n8*_8>@h0^jWxO90+P<4%}1$mrt|0HRQyHd75+M zokU*7FC57TUo_F(yq}=Pt$05!?y?$f35MXtPfq*z)=&fj4Mv(#+Hs%M@=r8kofgLQ z8v{B)#yWPDDLRHMe84%)VWKs)xOg63XH+KpC2bOtp9wSk%$(p|&^^aMlS`w3UAdC4 z^JiQF9CT@&N#^VqZ}F}rP9Z5g$9<24&!3Fq)b5kTA!iIt&}=~#9ryZnB}z>M7Gx;m z?r3|c@VEtcC=!Bh^SQ4qJsQ=o3KHd3-6x*`d$HylQ@wAo4ow3{`8odv>0gI%B0@S| z+TsMNQ4t3rDBs2q!yI;qCuU#5Ob^`ExNa8Eakwd*l!y~^G{zu+lU;`nANE=54ZwvI zMtgRRpm_nFu={TWcd#dMdqR6+9Z@$bK2Y-yZ1rlkeR!11MWCcyGuEo}y5|^q=SM2j+#9yF&2z1n;#Q*u_6; zvvV&HzlOfs>)YE9o@~VGh^DRjd!gtnddLvPxjt%BHde0~I|eX84?!V6lDG!*54InP z;Opy)*-L?}J>PVTJ<-%5ucD#x849^ii*I&_o#HroNa2tZfzn- zUg|xeFZl22`tM;Iee;9?&K+QV*!_s~b-bviRXpbErcoaxV`#KD_qiNA0pSk%NP@&Q zc6N4u3irlA@a}V@<(}uKlh5vzS3$oAdMMtnpsd`yA1zPFs}Lu{p&a71`UXISM*dMk zg3X~lOe%_G?U>_%AY2?c4iR6ssdOMT6CXCyEyuaW$u1~J{f)&2-2w6eMx7??4zgpf z7AtG05;}$U+Wm6|263UGp?$0l^dP`DePaoy+CL+Ni5cj8#7-B_=`bL)!$64#K!83w z%l!?HQjytMy(UNXL@TKZD*?#2v-YEoy!*jVLUNRv)QN}mKXMEzDpXrV z52j;wC&Y=s(SPsKb(|n^cNaGjM+K5py^JR+pnElyIJmlsW^+=o$W%P^DVmy{MU7)- z?Z*t3?*P>F_=E~kQGnxPKGD@!0faQ+h53g-{# z4Ixv!n@E1z-)RanBa%zFMS9X5I)9gJoXK|GcQAY>B0wJFUh3INq^otX94|2#z!Bqb!X_dj!cBaQzz$<)3I@=cZWyMN$6Guf!c&iW znM6gzo4_EkO+4TfZtpPJ`NmG*?|A*29J=^|K_#$$0b|+C-e^FBHGrxetPu8=aqenZ zY-Kx(XFlQ#mQjr780l;fbGYt2xOqcD)IB{{v0_k;PGs}pC^innIlH)sr0X?#*Uk?& zTOmmQN;zk>JLl-d9L_e4i=2o=sN z+d9A3#gjWoMi!BJ3k(!TyCN!)9vKMrt9=SIVsv}<6o56u9BgT68T=+5-5vlIPxs-q zXxl{cs>$?V$)AV;9SLUUZ(0ky&CN6S4oJvvoFvZ4&dH$-5++1_SOA7*Tp;Y|M9T_Z z9UUF@^|?SKK>6axOiY4NSu3X@?nz=WM*#p78yFt8`9q$x;eZXGHI64$pZ?{HLrDkd z=tO{M@ODH^X?Z!^#_o6m2@0Vw+iOO!6agkPbiN=AOG``9RJnj5iN6sWH%9g)g(w8c z32t1|;}7rH;VuAvDs=9)u(0@sC4_HMwMAqYZ7qxlbpolM2t(ThFSTX9YZMYNzBR@9 zJ+A(Ao-_%`dF}(8Jfww{fA7=(95vdF5t}5@o2q|vp=4=;mW~4#KmI9Go;veCP;i*k z|MadSM>xB-5#Je3q9z;scP9S3SN~6{_GqvAf3DWVH}h`U9rk{_CE`N^Z)y*I ziBOHGOIN?t2k~t);qgDD`o)JzC)qU)-abLb8WeOy#&~%5E#`kJN_#;P^?!`o*qD7! zF;KRd^dCR_gwrwNQ<94Ne{0?;+x$LxF8QyUKyNT6UN79JM0Jp;k%8~TkGG(YO^KrL ze*;_qYvt0-L-q!TTrectUv!ZVyk%Af%z*Lr40lw62S`~dmk~b$=~q&Hqj@_*1y5(L ziw%yp@>zIny@4wus*h)U(qP1hh>Znc2aeD&|&ld67c zQd3bmF~9w1F7c!p8WrdFTacK5?hIb<#*-ypUJJ-En6K_k@;OD%cW7&>clSl{1l`ZX z32FQYQI>?-6X~6X$4KcB=|nLxkc$%5t)(dwkL^03-o8gCiRyxp+wp__{jy9XBq3rpdp>+ROypWW#F)Sb z5vX)BB~{f`^y-zc;IWzmAt31uYD1BwS0Wsb_FFbfuS$W)l zRb{t%^PesQ$@OAgSpU&ZqQF~ZVR2ueYN=;jONLd%c8|Quc*n+t+Y%;@IAcf~@$lhO zX9iwPAUY?f0;2eJxmXf*MQl24sM73h(!N{Hptm4Z5;b8}6_wL}MB}OV`uR7dy*0>K zjg2q0=4|k#Z98~7ZBUHP`?KDEZVH8a&*dy6g=IwRtQr(7tReI8B8{H7y-aCIa z9e9KB`YZc*y0#HhRRW6wAVKbz!%|pUR>u7YQw%3at1gTm_M?gl&M{P7G70292ZzQH zzR(JHxji&HPPz67|L+5q*_)UmJemMcuX?YmqLSK(cp`>wbhM?px$h2>e}!kQG#A%K zZFfSg;@L_cl8s#}DMvTozWMa!ugwk*`*aNAqRu^`f4Dwl%WprSZj%`m6=eB@?{bJo zT&%(6XmyjArajvFhBuFG(rsRQNh7fM^~5Y zcnn{tQba-mU)j!5n4<)Ed1;OA~vYe1EG>)eqt^L>p2 zJ)O`AKrSAi{VaqTnof@qpQ@AIX6#!OC&9bx?6|p2?0iJ{#q=zddhJo=y-{jxWm`)d zN9O@|aW6lxB?hr|(T&!hKYgOX@7Bcz2}PY-O`*OkJMSoX5Fft+ivfW^XvjapMuKzj zgzUVkI9M+4-v_+EC+AD*1*LIw$PwJj1T9Ng=>Ga&bUZ)D43|xNdrxzc{A^;2jMC2( z)j8Qhp!Waw?fK;*!jf@haCnpk4r zUc9w__etPn+2Or12TuB*xt>-c7ALZWq>`D7>l}Aj3steV-{TyX-;rt-7t^y(sWP2z zrM!mc>79hAjMX;{ed3fMO+W3PMvDo`*Mrz>derWFSyG)AnggPL{EZ%I!PKN zI@_byQ5KSo4OaP}{v#YYawH4{Vqij5@B{(`zR^J4#zJ}~utP-cj{l}x=tIvmC@35s zX{k5kJQWyZJ#FrLJMj!HuJS~d-uqQc_57|0S7|j5JM}yRSdhGU+b1#8zOV}_^>KeH1yhzxDsD2Sw=keCN6-HKehvLcWmEGLqncy zkRvqMQ|2Z@(9&u>|N4x0a+|}97FjU1F1^!;#+-`T>QYJ#W5;;W87en7!ZUC7ZQft$ zXUC#7w_|tQN4UxRY1Puz72|Q&`CoUAHgF^oqH@1IhWpNGAngQ@5GMaWQr)8En+W1wD@fPLLi6VICt4Gb6yPgYG;$*ZFh~_X5pQk+ zJ1DT6)6PN7Q(sp{c=`G@K#O~fvk$a+iLRfI4R%opT(dN&8Z);j#S*0a$hDtIM^va@vz zTCy&EzW|*IJ-LPlNOw*1esxO%Az6FqL8RlmXS4Il+A#XmHVvyP}%0_Mm zLKyoE?^VYu9L96Deq*YYqKI>B2tA4?6@H%<_>l}hT8PI1>MDj@8Qy zva@A}_-A+;TuwVZi#=Mm_?hA2lMKtlAWbaK`3K!Q5U8bA^YWInnQT) zCjD#AayS$-6T7oZ?FmVt>Qn}{|YF*^@L8 z;2^rgiL*X3jxxIP$wuqC=p&Scj~CoM7t^n-d<=SM9jdbYb7Y@s#pb+{N5%Bq-wNmV zS=RWYQKL2t5*HfpdNBzo=OQk8)&9Y%()_TUoIPGlNTVtd=z#CbW?I*#bA_a33NefR9XM z^vkcz)S_Ro4#X75A?SFsU~%PYliRL}9>wJ1 za9gtb9-V!#m4)Dw(y`+Q-AP`qI({Y*6$2*11`6vBvUZv2Y4#@8g3Ah!_5Lv9`>0#6XWBsCh zgNfM7#_oWZ4chffP+n{pLQj;~-~h4yl4CM*Xkr%dcYu^dI15a?I`tgu(+AuTEaLRk z(B(nIM^5hrlIne}vepCR!MVqtG{}?6m#%K3u-II{SkNz+AXtAfXm<2tUt~Xd7#UsU znERWJQ)g&R<4aVI$%&s~`Qbqrdq>gMCfLfx=-&{2D<;U~>G^s7vFDlRe|9hRK#321 zE!_Nk@H`J?zC&wKV`&X%77G3!M5c2l^?yu?Kr|kACx2a44V0ZI<;N4j=?-#d`P{Ul zhsV-8ErkR)LoqS!hcZvvJf`~zHWLeVV4u#$(9o6PPv);)Pwe!{(jKcQH;{0CMlMQv zT!7=Gkr8FxVCkh=iy5-(EC)EI#+RTc%2#H{yjSQ6 zZ0xg5Jl}XmT&KcLd6W3o9dTR@wvXf-1^Md4?CaaNx1KJ*K?C~)qe)d|N5^ci zv0zanMTd2oY;Po?&40HwQ zapdkV$C>wTP&~~y@XN)QNi z-Emg>``G>S6h@#!%|V;9aQ>^^;n3!m*RQWalqn#Wo1CoJd+CQ}wD4^sSQk{eJotY6 zCUj@#{62m#AgBNE_=(u*tv@IC`F#ECfAUFzyV(7N>F*7(+b>Sok80)`U-~ut?c8 zsbrw1Z$pXNDY+jbDZYk7wui&;<_|9`PBW# zi9LH_tI#u2SPL$+K5=K$6c-n2u#FqvetlbZz$Qu78>~lc))dy6XB{GWWYHv`T7d#q zyi^~u`s&RQR|z$B61aDrUtcwSWF=uWAWab6KJ!YzRQQAzTqms14>zb>JkkB~@E+De z^lSil0QX7drpW0a(p=O|8AHVN$4Qj_#Tx1`IM6%|N4EX+>92&rOqaYy}h}oemOMf+(%_>qJsFs5}tEF##cz%J{9uXK85|p+n9ZxF z21Z2K*>E|*;q`K70>$iUqD3ft*OwKX`(IWbyZ0SrV@;&KSCUndNMcJ#B*<~_2@2UM z z!L!~trTV5?Iy&Vb?$VhB=R&iEOurjl*3$DImCy&oh86%399tQYzG68gjW{2m6Q+_M zoGShMSNn+uBdUk46`x)0CUacv4qjarbJ_LyN%N_|K&x8vAJaaqqf%Fy2Fl13YXh~j zhNfB`A2T_e$7yBgy}V_0>5wBCo7^j>SCMIlDNIW@5HhuPi{Bm&7-!}>pm4b&kW&%4 zA)vyOC*$Ttj$(=UeVKAw=y`r z`$h6LkF}fM%xHTLw zI0Dcu-~~wfkp478awb`vq;2M${MLdp)M}TkFMVwXOj)qOn6hsLWq~FO*w2-#&qe5=RU`~S9S_fbDe+b@}^G=mP+ZBR3)bH}(QlhsGGB`6MqbaDvAP%8{FO3pkPw(!wS1_Ob2Um;*qG!HyY1Dnf39frI7?6gA?wZqBL@}hJ$c2)f7G*C^R-0M zTUC`p-s0`@xfYpJ^_^*3Gc`XxAH5lEx7I$$>D2Y9iKpj&xz|W{@U%t(H3q#!qxt-fjQ#Lj>5HH-;R<2Ck zJ@lUfIW1R7ZrXruN5$w$Ystsp;wG(|tIDJ`yKnn{I<%%qaJwqc4NGJYBW!jcFh7_=NSGZk}!+N~V^8 zZ$akyRTx=8tT^)wVq#)YaT^?K}>b^lv$5&Tk)zzDRkB(K(JR)74e#heUct{YZ z$^~)mxX#x8Gz!(7E2P5V2NojVD0qbAGaMNPQSK~`Jf4xj?q8FaTj+Dxp^a(=&X zXB)b@41pN^D|$i4>N3yY5bkG7VSL~~`69PnYv6+il8>gQBPlq57m2bIS_eg4-nh%Z z0CLQQnZtALix-U6Blu+5XlO)PTo%QDc)V?tJn`-6{OcJ=gZ;?l zmmZdy7JxK^TDbDz!(c70GT)Dcz%5tVyY;@(!+z6eef7X4pM{j=KfYVK&W`Qdd4cQ^ z(Pfl8LB75OxWEFJ0^0lD49r!uIWdd`j=p$D;dw8l(Mn267(esOe*z7JCw zM%D)G2qi@pm{X8-RQ>FA0=pJ4=2I|zMjR3}n5|g9f1jzL>Mnl0lI}+YrV0zMlZjhd zp~5BHhmR?JuoJn2y!}NIu^MMooJdUfB*hc?c&{-&)Q~;og zLOfpLEQn*GtreGfCo(&4-@cuQY74@7Fhvn=!oV=E_9f}iN`WWw7*VMf!Oo)*YaziB z$u3g@BoBnWmUzjDd+-HijpoY}xO#gC%qe>)WcTxA6o*q(TJw z7Hy+o^_ZJ?H!Lk5J2v^|zSJBje5N9^VBeDv;t8+QrpM;<&-VT(lt2!hD1C{)iD0B~5^{rYI6hWx1fC*UO z$q^Z+FebwTQ&$>>5$bgtqVVi-l(s7S#ht8F)VV(OT@zc_b$*>dISkj>31cFKhnr zF(C-}NsOo$41YRqqNClO*G5v6QC-r{`p%%0XC$^CLwJl6iX@FB$lbiiSY_vqv5f>u3K}Ybx`;NR1W{sN3^;N8_gc2* zl&#PRSAh74!flbEDsrdfjLEx4z5^&BxxkVUN8jKW3(FI9D0+<+Wu`lYJef=g%F^ zD=~*P!k*91H6JjlWGk9y<0={9W)Z5kIxWjNE!kMiQdx+NfZ0_R(1UX%3mA&=zu?uUqO@USJ^k2RxsTUf$s`F5z zeM5YR$zP2Pkai%T2ChYBf(ozmW zLO0#QY&J~-`S8%4?%k#L`vTVQOy7?+nso7}#fJlzR!e%=)9xSvVj(iCdl*nxQ=^1~ zB=qk5ZelAbOOJRS;5Qhj5_+|XL23N#;)RtZ0m4C<;i~oeG}ZZYH-3DmXe*Z@JnT5= zuI(zhe~7?wGHm1WYBFS9O+)dR(`vJ#mz>^u+I$A^O;OZNsNx zzE-I4p|e;h6exw-_P#%MGVWvSe+8Vnsh4nUWg?=yiqx5DQ3%TY-?#G5#0ZbQB_V`{&J0JU=FmIxnddEhIsJoCe^a5o;oA#RZ*-3jHadOar8Cje z?=AK#lOfpHDCRMlg|8CZg?|H&zgP48u8C1}xoy{NQZq6$C+0m0=li!IT-Jk(O&om& zMbbeT8TCO`P0h8khB_v#SQ!^mDCHUj43f{7q;wR_{CGEVO>TPb(ng_QLrtNBxDyYp zg5~Z7(5elQC(C?Vr@eP1MtASgqy7PLjZID1RO&@T>i-t7f;?``WA?#?zL@=$Dp9!j zspq4KsLQ$`5h9U*CcyiCZ{~Hxl!e#8v+F9M?XDZ^4Y9Vg((x&O}gm9-r>{NfyGw;>Q~zY~9|6UiLL6Sfq7+YK$GIm5`eq-u?eAa)wJ5d^nd9Z@=Ar^yWQ*QkDt+>!bGWCsHR?|u1IHbOuRBU6dZ_Nt^4 zC^*Av?s>vhvQvj9Gb&a%9H+!?YJ$hwokAs`LPBzYy6k1ico|NUe;I%!Ry1IKg*Kya>H-??lN zTZ4q6)V@qjX#zDtcNnfG0X`*r>c}B1pi-oqIcA&B^09~v{To8{Hs-^HGbPXEJdz1B z8`*Lyk6ca89%ML0kWOf^5T#rneBxqF%@*uOVJZHx@0{4xlI{z+pUK|bCeI(Tc4Jhx zK5*An>ARGx)`jKhert>aH&ngRx?!b~+8adPDRdKcVXh;$M(z+~XG((!7y?A_|g^@1$w7Q)id z)3}=hCFX83-)nAijm-X>R8s#aLPB3&#|FSVz6s`gJY^@^^Fg$QrW(+C)h#;{ zG!I}3?VYAQ$qqX9L833eOL%X~C}~KtnkbA!nV6lFQ{9?kHp}n|a^rzTKDMm7!(!*agQ(V+EzRC|3S09l($1g}?7bJ({*C z54|U}UyU%r%~@aW0R;e&9C9BL;)IVwe3CKm1rD^0DHw?y-*jc`)iuBQRDs7Fw6wBo z&#nj#hbRb$J|X6wA8)4DUt|qk<}$_oJ3S*V|25d7+#nR2;kvQH@9p`=hyK-%M{88q z2~qAAIhv-AKDz3Gb_e~bQM?_Rxxx|k^z!C4nQ@flbc7CRjjd)8#V0#Gz2>&qNI6ZC zuT<8!pO$4V)Mp18RMUFW^^V=0=MUVuJ}@DxHnLmYv$tuEC-BUFI2-@EaP%q(L>$Ct zeNEEG(A|9j3?YgkBtzx=yFER_+xqB*!mFzN8w$$S)@o@F8@IX7^LwwGxk|Emh8eof z5a_P?Q@EsM*9xk(X13|Zld4b(L??dd^_=iq@@i#ZqgGHL@bXp{JK=<5{cjw^B;zs+ z0rD*a$I>k6I+UvMKEdwLNjIz8Zp{OqEORP}oF3Z&BcZoC22X6M1|I8Parwu3Z|1^E8 z`(*R2&9NRsVG{D;iJiO=-9hjnIRz>$-f4a!4G z0BhHD9llb!#hZ`49l%w?v}?>u1$`~*_HE1~(sHVF^ zS?Kzgrks+P4vPZ`6Wt1$(dR|+EC%(Tj#{aMT$s={8r+f`>_~x7$|(_ zqP(gY4^s3qJ&6elc6X&1^8a+IVDFBH+&5k@JDAj~^A+br(ZnGARp}M>FGu5&y8s5*D zW}OnHXFqdx)$OSr344!x3wJFOpZxH_ zCL*4{F=BdxZN_=`FZBfJ7j5+9WbN(A@2+utIC<^(O3+g+JhtC>vh0+&^QJr*3u590 zkYlUab?UbMJH}VxMM@m_A-bLD4gx2ufK(OM)p8(q?a_{)sBIV}-NbN?Y3Ej7fgh~1 z_o>vByLOxBn>!4!_^fRTC#Rsb>K1L=*wJGtyQjHi#&^orQ|Hc8}ZQtq&)-edsB)KB~{^06SH4blR=DuQz>;OOP{`?jQ8gQVofLA3B5}`lE*YQ60|W z;PI}4veZ@Sak+n>tyEG+$3k@Ilk$%-uF{<{ig}z6gZ_he6T#$J_(yN*%;!a4+3n#f zV1FT%!|975ltK$um|`DPs!;q6VG$?={PEoY_X!ynx&In)%b8vSml7#9NH7}}ZEQaK zJwD05`&5iD-?gr^S)Fn<&S@c)@S59ukzC$mGgf#ldX!~_VuJNShLqQ>;MaL2t7BQnrtxiQ4H{o?;s^j}IKJ$@D>TAdDS)eDAj z)40u{jQM3YkPd=oCl<#~I|9!dR_OMTkN^#k$u}+z?d<7!mbxp~h@R#ksXN_KL76fJ zz3$P8<>?cH=Qy|0dsF%m4%UdW3plN*$b>8d(Flo*tU6f?s)lYcLC?pxC_r6b*z}q9 z@nO~dovTmoEZ-2>oaaZT=20TGAbVRJk~H_40K;``)C4yFtVgtR8Uf9{Y0mPi|pJ+eY(<4{AsET@XBH#<; zjqDD@*rbClq>3Qd;H8faEd{u0x1v3IDwBK~Mw9L}vd`-5OQRBMWKuqA{el#kX9dSo zZ*jWEWFyD!?pT;f{Ln{c&t@S}!?h{l#>c4$E1HeHn<}Iv?2PCSQkeQ$@qyRjh91H8yr$xYn5AHLUctJblOwZfsz?kU zT)D^_MMyT-EuiiydD++QH&Qh|F`+KNxE){>*l*CT|H(L3Q;6L}1^UkM6-)JW9q4Cu z-|YJb;W#G(%~W{P$a^lF&odx8jlm892JkU=?;?`{1p5N*b-t$TLfgHAJ4^`C@ z!HDkgJb)pjibmUEIBi&aP3f9u0k{K2GdmR;XMw;ZFXe?eC*|CFM)Si$Q&;x4ygVp(%xSmn-2@7kwUi$pObA}{>V@&8c-K*f$TzY?A(s9AuDYfMf$A|w40pQ` zk?j8%L5neVh-faZI&7chbs24__0?$~965Y)NxXb~ad4z;(z{2Xx3cw+OY~yeyO;2` zLT03u*-U%&<7iM22PxssCK<=)j%vQNqUtQ=VOlK7nokn>rh?wb%WaS~G3xZ(%e^_T zmWBw1{Jrx3K{9yk?FhEynf9Ig_g{t_0?u$AL)R!km1XyWTBFqVQP+7PPlly|sKDc;0eNKI!&zb(ad^c;JMX7ntM_r+1xsX5J5uY#ROIoel z-9dg@qve>3!e{d{1ED5Q3CS1je@qFLvg9C7OH3r(ObG8c#Uf|i&1#jsqci zi)&Y%yDd2KPx@sXS7y@9-@?B6+&RKA)fdk%rsibzHs4G1eSTb$inBmk=*)NJsVLjx zm;{YQlA$5r2=->{(B+Sz|E*Fy{7u)KgIjBVWMf4AzE;Y-jKqr=cwsjbtIO2ar(W&y;f2|AY zmLXC6$!SuhDTy!!;XW4&Fk`X82WA-jETjQ|zO9Uf&v-8e1z zLoS6>guTLY*U6lhg{b)#HPzO%K=?YA`P$zIro4F9`-1qGHHE_e|9Xk& z@6}P%n(cE59SqOVZ2Rvpc-eGxA4@n`c^!LnzKo2(0PtbF!z6f4%ZrPv7x$OXD3zH! zWg$59JcgeOe1e__1O#-Xcv>;BhZj4MSTxe)nr^yRx;Rj@X?=sTT?y%OC*xkZJ1k2p z7w4)!WULUh`P+*4#Kn`lb_;F!aWRI$WU0-`9;cI3y3W^6pLYE#Sz;;V6=<>VPXLF( zYtlTuGm@CtZrZe|v$S`jT87~JSio>;{_92ZY5)%lFLy^8bn`4tI3syp0V((P~$* zw|k0-^gp;IBN@NxR^UVc?l|oK`qe8^Iuh6XZ%LOG$*LcW`>>I8Inp|;v}V=3)xQ?d zuIyL%P^M);pV#;OEkCkE?_SxGw7Bl;a#zoP-AZ^?7DIAs=GhVJ&yt6w3GA}M$-`!m zJU^SZ&aknc$)vZAe#WWhF%l%-MijI>T&|5a&+q!`N+jC-Mxu3p1#v+PYmfsDUbI2Z zr3)8`x})EcqO1gXr3MQhGN2(b^|2cN$PyCH{frP?(=;4>X#+Rm)c5j-6(JG(Tk{vE zWIUJn`umSCZy*>|_RG2tUAsX+!+5?_P3ykq(R~D$;4t3~yTV%@4+`i8J*_$VK01no z*xnKO{k>X#rz!s-IL}Y^fvEJEqdYWSb&R^2L77#wg`T`^Ta$Jx22YZoKK<5l_MMjd zch$CyBs`k2ZfqAX)%($!%T~KP<@+e_I?JO%8hrTk2KkFOj#U_l4Lvs$Y3ra=Li$27 z(E9r`|MzA^x8H8}^O70IhNEIXke{}ixFu#{GFR*zcSZEF;9a$dt49D?W+m<&g0*1E zCCZLR30K4|Jfs~O?KJ}Qkyc{2pMbji5^hwhZ7lraa zx(k2lXS3Ab#2e=ci)0S)8vUz4$;H#oDJi?htp z#+pw-tWK7VwEcOz1gR6GNqjXSfuS?ia25c0=uqslqMbpMds0?z!aZ2XNZ!bBWKa6aH1 z_+7saimVU%dsiJ(cZ4^98HllV^1Qrbc~3uVrlPtL898d0=k-eI?Vi}A5`{>SqgI*S z9^b&`X536z_{#IJqvjQkgS*kBii4HGp^qE30rTg#-Q-R~`*aYefBbyyy}Tk0K-3`i zyoDPNjDavl*#geY;^f+YQMa6Xz6?PHTUB9J;zqN(=`T1j8iJ9VGhzb$z3BW`$ zOeuoQ00|;UwGdrQpraxNZR5j-55bjsditFTm)A;OwT(Dz=ZHipV3w#VFzAz?0LoE! zcQ?G=-agq?qM@x(&Fr{9N?AV$g!b~NYGACg)w~ElWVW{56|4;0ln)Q( zth$ASU&>fPKT&mCd%f&2wd-w^9zW~u=k=>7}Rah(|=_7{d?F+voAsM`*2y;iP(~}Z{0bE8wRK z44c-XqUn_hL2Cn5IFV-T;o;%n0JlL#vtUn%{Gm(vv%&=}8HRxvU1vO}&kW`bh|Nh* zk`XH}%#VaO6$tjwFW^PAQEnNA2RMA$7e3$7ioh%$(Epb<_W3Ead2mD@LvN~rv$3wz zS^qjm}VFQNJ9iCzNwP!&Ri85Ut?>3uivqaP#JQAOL@Wxrc z^Dotyx%a;jUl!zU_<(|=rq*SQj^P4AbZ!nvh5VjaTf(ml zX$B0g#>d8ZOUk|FG5U7Q5JXYPbsM5!BeKLP&fM%Y;$C;D1fx zxRd>%V@u>FUef;TwI8VjPu~&!au1GYB%X8O>MG=f4I7NECMxgwl$Mqr;B5h>pNR@wL%`LTz3AV@*FA^uqfebdj;btUiPNY zGrJkD{w%s%d0&j|?Agxek9Q#L2}QLz=$16*=p4BBYux_DPcIA-M<6)+hUE*!$aDCI z!Ofl`8PFlfQ<%SfZLHlLTpmbNSu4za;HFNjkBO&+2%>T>p3{|cr+EGUB3R$M&(=E; z|58o1v?^$^eZj1pgQizmCG5mP=f-q`_tE?+%jVMshx5&x2+(V2lz1o}AbuzL^?q3} zU6oB#?s>Y{3Ow-!g#kRs3-B@n2n=^kG9yT(P+mebbp$u)@32f<1b+%Jk7&BixHFl& z9->Yb@lJ?{x};#wqj-$_i~9VPJ0gVe^B3u8CL67}c`IM+%m3)*WY$xj(nTdwz4S}c z^4aH&c}(U#ly8ol7ZuMlBO&g@;eJ#yiPLmUjMCoTvM7N+of`qwQu_ z=xfW$%F5k}|JMEgvzYN^6Puv=AsNC4-tOyS5rXkNT)sEMA`Hi`Oi(CFluS2T6H2%m zr1Lnpc#y6F1U>vxSe!=ma%~R?Pl{~2vgWN@@uc3p>j*V9YkS0g`;Mi=E~yhP3&VIFMuP3$=6Fh!R8*|et`1l|@Vx)?{)~=~tLdU^_$ToUmKzdZhyq8h$1aq9 z^0hbG-M3}zZgB+hd()$ zi}R&Pw_F=sKRLI}@7U|OKBJGcTF#p`${I#?dd^x4(g4LKg}kJ#KZ@?3BqNM< zx3R2>SW)dim*G1)?mFenq20dkV##;Wby!}jM+@$dbi9jEPOz(l7obV8qa+&Ve4chT zi7>^+B()E4dB(`NCL5jK`mjj(r7>{*u`Jz9XEpx}JpU?Cr@P`#;`HbNAHnDIqm9bh zy`c`y>r4*_X!}7ip8CpcV24pe5BEVraM+v4?zZ(7vZbGsIc*M@j+7&P7{$#z?RL0_ zNG`vTK6ntu0O^@Bu3t$B=H|3(t8SG_v(qGKKbJ3a`n{}SJ{3#BIAh9(93e9A2Rjt? zMUvD19xC@$bwXnakHCI_>`=fIJG9mG^_3+j6Nedq9X;8R(*;#nYHDiisUQF4igt8| z70S#=5H@O@vMg7)plo>L4M%S_$s@zvC1a5aZ%A4>IPmSC|5m?llSxa9_+LY!35^0H zj;M7MQoy-}OIkNUo&OX02`0qC%U*1Rxq<=V0L$IDd5%d(1}$)6sDhIBkcYcscWQ2u zTAT(qj`=nRq-C#Pzh>RFN17_b#(|{X#0dxKEu5;u%mpK2-T*le$>!Enic#^%)7_lk}xmqpndbp<(dUCeSfcK>NkD*}XC+A@!?nx}%3 zK_X~e#49G|g7GA8^1;{6fmf&gQac=ikyJIWghpZZOuE*4_<6)b#Xux^Ao;MgOc~?1 zQGT^Vq-Z|W%Uva*K@<+)pP9?%Wn>U+nkn{#)l%a>k^7+HL$jbWX=1Jg~g_Jo|6k15uuP zxk-4E7}Y_5auLa)Y-*3=A4EFhY$#}QRlSnn;~&8xw}c+!INIRp;VmHiW6;1TiZ&^q zHBWQ%55e@ivC4&f_CfXBk2?*S=o@&PX7B$3YhIq?@fd+f;_b7mOq^Xnge&)erchm9 zsuP!f=!^YX^G_IdgOtKx)DnzYhOQE1bOe1}XAL{|@m|ON?Lx*wV8+wa3 z8|B^-#TH>Z?!avb0)(Wb>EU4paILm(wQA1nj*Y-O$jGS`uvx?8fZuSi&2sVX*boe1DtZ z9=9Pd!MOo{+I^y;1?@hQc(lJW=v~D3HjjeG7A{Iy7^PB!3?fgkZ5Pyb;DI1-Il9Yu1KEgec#qL+d_sD5W^&> z$qyqr=O19MwGq$K%f>E%(qehpurjj&wnFd|d@{HG#BFf)c+@gywSsDVnqSFj^|gj4zG(IC{+l^t3+ z+1cnKV!ju=*UP;6BstGUHr|CSzLGXZD#K&$UyKD6LLZKrz7t9Ii z6j3|gS9{zVeI5Mw6NE48y-xWR7z>I|hR)0f?CRK~xCxl5aq8-1F;R<&*l;+I+ET$V z&j5{Q7YxqZvSkaw+1g^~=u}Sc8^69VTHy#y-Q{mkyG(huj3FrO+3c?wt&BoO zr^pA*!6qERVbrEoG=#XgyGw<;sM7djnu|R zA-_e&)&Yg$=L?J2swHO!STN)r9#(tRqhlQ+WjRDJc=U6=a&2F4ue6Lz^S%mY{wU&b z$>j&->FIj~1fa$u7iqUoVg5%$YM-P8xAMBWJqgIAPvkogEEDMqOj$gq;SzfB@Cz&9RrU zu2Z=WcM1wdFa+?C__9 zT+hUW^~o)ax*OQ=0)udnqP%dm*m}{J9UBHRhu5CZu-HKSHRgPTuX}Ms(052IO$->GC!C|qq#DN32bxsjkh+G3UM}g#cdCAR1U>wMJVkx2@c*7Y&F|SeO z6iJIV-W{nujt3~0fs@tA(UE{J2Z`K(pbhS*x3~N|L?Q4*jM=g5F%nC%Q4bGeO6=0? zC*={(V%#rmx`PLeat`C-;eaz&0vHYLe$$CF_VT6~($G|>5}yk*Z0PJhXsJBiW{I!a zdS9wmKBGv7|BYBjclXP0wgBWxuf##=jj^GklYxQcc?@<0Odp6Bd4qjTybh5!{r#rR z%yyV7cQ*8SYU-z&0IK){JX~Cda>y=foURl_n7wpS0|XR&@3-p#Jr7!1G@HfhJ)f<< zTytR8MHDJM6${M3HX;i#nt0#R?u}4AfmdHvmg>{Z<}hN#YP%+)(FbDPAc1o8=B4qR zd=IJYyRD;Dvkk1Mn`Ph7PA`MH!4ZTyo>6vaF zOU-Z6LKJ?cR&sy_UHtX%^sPG#yLNL$DPuYC z6G*QmYuVCMoP{W*4p}kk>KSE7f`l|$7wu~xu!UTVN{<#*G=i_>(>kK z#&D1~{rO)X=<&x1lGk>0=x6CYUZxCC8qtX5+8QD&D=X1wzXU&6(NQI8=wdk{8>e&) z4IB6D+#V4TfvEZobS0U%JA26^8}A(3W1OE}QW7o2-0oZlLefA`<8YxsIs6A^-DUH- zOirE3my-E1>kj3%alUevo_OXvYDAnA?Uz%!r%tuf9Nx2a3x>L|XX<3-K6+%AM5exH zE0+J|B&?##9X7X)eg5>RCPH`5)&feC@9%%(Z3t|(zrDR?ip;m7mws+E zW!|HQeFNz=oK&4o0Msp$`Y`$%V%^|@%;(SJR+)D(Zl>76k~ZHX_F&I;Px-;Nwi6S@ zyo{SK?}69I=78%1L9L@t2F38<*aP^G&dvt!KFs|qGFLxyMrfH<|5vP|lauxOCKq=N zILSTvB|c*v+BypOgLWp?YAfBhgUY*Z83^45j&%NlMn_lIzLV6=Dn$`|xK{7O9v3xm zmcw+H_H!%*t248+Vk^d`W@d2;w?A;|S{24tj59?xE-ws69{17^d(e%u6NBiew`_s) zgCopaD%Yo}pCaobQ?LJg7kb^!%$_<~j_JzfDJ<)U+)kUSF@y+b5ENHK5U#4LtFN#9 zs`5elcFJ@1_x$QepB2Bw@!%UbmLZ3Q-1_tnW~(ECJ}d9Lx*+E44lc8fsINSin9>dT_f_OBcyZ zoSE{@a~o~mIOhW=z@TFF1PTB>Jiyv_xQn@R#~!y9Pg6k%F0BqvsN6@x0jk;zBGabhJ(YH$+-&n{5zaF zH5eEe2$KE1=kAd5GI%I_&g^p`2}4w9Z`T>oDTi+#g!*UuT3hq8v$Ol;-|Th5?23^u z`zBsy>t$nE9VNaRu_M5nYo3a2V#KQcCXYhTc3lo@vAe!LU?4LqD11hl;j}aWUtH_sVZAIp@JaAih>sW@Ua+iZVDMNg7BL%ka6K;H-DQ8~I~E!V z-a3ZGs;nH)+4ljfcM49B-B&F~CJKjbGQQ&74jzPwl4C_QGMFdp{+?c5d$(>X(=sz- zUk>ZVA<@_v#GYv+Xve9o(QtgC_v7QS|w@l|^>yj3L$nD>wEDGPZyJ<{{_h zB;3Et96hgJI{}0nQOH>El*cX+WD4^4cc@^>d!vcu5I$CO8K;+smu|@XX>JiSz>V_* z;@Gpkz8e;+w~;QAFT+zi9-ZAc9aPDoi^J~!k@X+oT(AEhIR3UpLMVGBBq@bthoq7b zSy4h($fn4MLUxi7NkTFrvZ9n(_NE9aGE-)R|Kr{HeE-+)cm3Yib*^*HbvnG>ulv5A z_j5c3c=dOpvXPWSFG_(+7c9NI5?q{IT&Pc9T|5JVA--In#offrtjYFSard!$I*;f3 z4;^x9e|(%Wavx4F7CX;k3Z2}fqd_0I?W%SqYSg#R{NUErFpuAeoa9CfJU?@=IU#}d zmGRK5c%4bfisHDr; zTau;V>NZ%R_F23y)@!KJRatyzD}eTsSA#1pd-<09pLrpJV! z;NYug>untz6B*uAGq%g_|2m5?n@$f9(_--d~z2DN6z`tCnY6P zP+D?DlA!B(xD{B>0ikGA;vGr9UH|;PGJcLv#q+Qx5=1Mj%<=KZ#{=E=r@-_v>82WL z)HKPi=MaTR(Wa%NiwFrZ^VAk*hSyvBAaht9x*xrtnxOYMFj0ZSY8>kfD-?LzJ}YNq zV0bLahO3%O{)V1wY}-T>$5G9z2hoMY<>V$bre|OPvo7l^YS?Z=JPt@8IK2HkG537F zbma!JD-Ukh#%Mm!q-J&?%bgie^t*am;2v|zpB0R)EK^IPFi86KqU#5ISw3otLpwO= z&SpllDzd`$sX~Yl-D&;w2r27KvnCR@UfT)iWr$sRlUvTl$(f5cT2%#`TScmpFjf8` z9Trr;GsoqLdEV_{;@YhK`2+7oJBO#0m49&=0Poo_M#m+iSIVyeRf+Z7i=MY0Y6v!6 zIX}Pf`}gTi(J3cgU*9)^9ABrVp1)Q?mLA`4`x>UqsL4Ho5rL3zx17b@HN;d7I7eU# zEr+;yP_M@R<)_L7>~rHD!y5~?2m1TH<_3?A>nR>Oq`mTq()(Q68-=8U=eeUGTJu8o zI&hj%DFYoTjLnbqsH+d0tRyF?V-!LxREAp1;tZ z<2824i=tX|=F4p=$~P~J`m3l`$P$8E9?nzyzxLs1 zM#}fE7Xdy+MDHW-tz1l*ec;`flyx;bH#b@G>aN(8%lUNAdZutJP)!af=hriu`??lH z*v>R8Qf^;tUKQbgbE1!}R`J&tLa7x^(zHTu*v(q2LRvZ9FIn*t@uWuaLm!lkPES!0 zq8gBw=j7!b5G8&z)YV6RdCj~#sOE;bBwC9ozC%^{A+%j+I5RP^0tw~s3BRKD3ks?Y z|IUXxE(^W^iuJWBhV$2`Z@)+H7s4O#ft2+q&41v2d9$md^rPWH@vs!Oiw<{L>#)@m zf2FMqy0)P~+fSBKao)h76x0H=t6-e?+pDr+%eYw=_4)7{c?AVulw}092zGa*-O!yy zcGlO^BmcW`5Ax}w9c|poqJ!GZf_tcxI5^+d43Q0flJ(NxM&iFuT6+6LI74coZN01R zRKvJVz{KV@+Ue7=J>8G9P@G@G7r%@t6ke;PR;C$@ec9x>T+z0Nkcd1aV({B=WT36K zw6uiI7aUxP=6%?nxv~p&%-eHkG>O8%tr48ZenVRFQjt}JavBuwV70NIIM#I>l*Uq{ zJjW-Kw?acOCp()sz=7ELbG9~OYKOM1a#1!qUqppKjG@SQcZO~*z3?MS%A;!{BeMpz zGa@VtLZn2xA>JxXW3Rzp&RF-}w!-U0g?p$z5IoG5P3$LEJf4pfF)k!7yLx>VE`;*v zQkN;6v$<}G{iMiz@_q6YqfOO=-1MQLW;Cqd#-F@({rKS$u{lw<`x16iFMiRh-a@H5 ztyCE8X~0bccaCwO;}@^72yg|_=u9?Esdd}l{hxIHUc*;*aj##mLmTqrH#dmYy%W3N zdjK*iF!hG7^!FKAa1j!xY$0DWTx`qq`pvzls5YE=ATpu+=v(pTjW13(refy3H-u_^ zo8OhN7-m!c6dDu@jNff3ub3svGxjsji8T67?zYtzIu;U1-z=qNp5)OPyigVlloZv; zFrY1X7`E}zd(NCuBJBD`+m;i1Fw5!FYe$w`8@NnPS}=+3UFz!WBnt8+S(EB%YPOu82LE9JO}O93@HFG!jCL7Yb+ZWn*8RM2BD0nL=!XFI6h z);Bj4rcF%zunAa@k$YF1+HgUQu00`0SzzzzqV2Pu#*Z)Ox<1*lri+zE$hgxq^Ye>| zL3SuVy-+GN)HI?}PIIh)@4-D!qMsFxxVypO!+4TLfIhx}>0LpeBJHevHIK6^%~%oN zBIJBXNXY8S+pUccLaE;%i8wKF2|OW8n99qI^7QH1B^rl@K=(x>6n4%=!^U|)0m1{* z&n9*WDvwyWSPBUHUkjH1t^X_bCd$LqyOIcL# z@E4I;gS7{6hgdYx(jw|ywYMjV-ogEqD8~<(w2x)4yMnE}8DTu2ugc4?okJ?uk9M2& zl`EljU%$+Jg{)>3W-jZ6w92_dWc^E8m03X}M+c4XRx2&$O_lGw^~&&LacZ3`sqk5b z^bYL|>xTxHqD)^`e9{{!=ec*UdhB>!{cT#CYr*QZ?n=FF=gukOHgdpGFO4q`f73f@ z5hX9kOhcSv0X;8caQ*0eE*K3KuSWw2Ns?L z)G-p@cQEbTSr&SaLGw?Vxt#9?Tddy5&-&aetB>I|957(ONK#Gv^5id`u38%jy~%-b zgyV--titk~-A@>@=9{W`%Zgq6>$IYpd9V(3C#!*Iq%>0E1ItgeNq~n;D<=+&@u^e&rSt?B*KExa zJlND_fMyUl$DpKJwxia^reycORl9%sJC-t`lBkjT@=6n&H_>g%nJfT|1cHyPC|D#y_hr(y>un!^TT5xZm9dOU+cTuc2uCPCdBp3k${ayC0wa-!_6? zcYI0;of(b<*sn}9w_W~R$~PopnIILOEai}-CxUY2^?(TdPIIe|k9tX8yx(Ca<1d-u zo$r~=bL?J}*-irY{rG~C&$Fqsu1^I|#yxUiVeyjMW&EwF3^8y4tu<0O8bE3J`|iA8 zd&wo0SH8q+OZFG;EV7XBaFf>_dD_A=C2e?Ba~0G1Fv|GZUl@2!u~t9Ze@NbKfJ%Z) zj4os-f_%j1V96SPHQD3(*1$6JAmJ9}*tHKIZ=I$%(p$xw`Rcl>LBPZ}OObgw-i{6@ z=i{zNK7Q0TrMq?w9RrtLF~npZ-zx`QACL^2gLI3@8g%9PIv3K)O}J%aH7 zo!dhI(hv=xK5Us^mRn;f=3B5U@n+PwOsf&XJTJjaYTiX_qb6YeTFJ2FWs~|{J4yZg z?#HLU;Xb$T&W`UgyygOzd^&noQ@2JXc1$-+>=DbqYG?xNyyiC<-u>2$*{K*L*4NcR zZqF8=CX)tp1+v81y}QD$%RRCh@J7pF55)=MI~s$Z69rMMyk-RMd#D#L6@=} z{s}|N53^H){S64O-nDL3URQHvmA3fZ9xif#4mKl7R)QJ6XtBkbQaqxfdqUc#7Ja`v zZtVjOO`DQYZR30Rnc~iL27@)p5o!3I*nJU={O1%2(0{v5ID7Ui@p>ude%XUBZntp=IU+u58*bw?Pw$``H@bPB zgCDEEHW5I@4LeCE3|IHRsC)@CX~(TILr}#-WiyBHH>fpu3XSGLvzGJ+|b^gr`+5mbhRs{_-(2iK|BhEt(GS3X&_u7JIVS1urzg?_<~}56=38Zd66Tke zFIIYqXT95LuIyu`f3RXG_>zLkmAyXGBR|6~)Q=eqDWsYmC#xh08eNm^cUaA}N$+W zy49a&WV!5@<#!&SzbqTOHV|QSwNNj}V>#X1Y3qtA$-L?;sZZV6koxFH7#a*0mvEul>pa{2xdkq|)S=NLc3jV#|M@>GKthY= z2Ci>EGjhVoV)+2~9JqRefR`R%Z^SZ?Y6BVF7`l z=YNsIrJ>$I@Rxai@rj{ECr-BEF!%wCU< z1Y=pqTmBrTIlbX@$8ICqH!LIs{>-?8p%xk%8Y;-OWbtRZotTBz>f4U{Z1`s{IUPLS zt|`|zxS&Y{AojsN(FOe=c6=az%v>%kjxg;F8uk%pkF zr)TN%OqBlL-c1*3zFl*dw$|e3u-T`O30)D{Ky{6T_=K7o4f!n$=3omxj&g;7ze)ip zg?5$eNsW*U_FG~5q`i0Tb8s3A_HO0RAX6qV{c58A`_A31J|=-$NT|5v>nBM)gPP9| zr~TD070}9MA$&wcJke29J3gV99CJED;?XU`H<87lrvWK4^Rz|jIHhR&rj(>z-d3`kdLA&fh3G zC#1=Hkp3}go8b5a6%P-=#=f>E2OId6@KQBf((H-cTP@q8ouQZ<5;7t~qa2d*30~~} zujeYRqJ^}!rU7Mlm{$N>aE%z@tI6mS#AQ0Qg#0Ds>Ej3yYpKu3Wk?v!Mmk^djHFHQ zd0*g_Vm+!hR_h$zF}NW2#r)oJsX!6=3;S?@q)wfZb|FW)%EK@vq=tw=vn z*_V1$AD-du)OWKWX6=N>aj`7Yw(%OxjY02&eI15EvTKSpo!ZdyVzEyr zRx(a!#Nx@!L?YQ9!!k}nLLy<0;9&x~y%0Ig&&%uS!|WujxL9vE9U@5;6`z6=tJ}HI zCS+l`GGbs3$o{Fmm12paf^{CRw@f<-o1rT~KSpHu_k@K8sFId*_VfsgDBB44k;Gi= zuPo20cC{11xjuHboX6@8*Cf?PS>nO_Z_#lu~rco4rux8tdkBVar{c--iZ<~2U9 zT(_&{PkgUh^*Cxp@nrGZYVL%PAqO{ocJ}HYYeHl5)9xtu_U7d$e2P{|VLo)68Qjt; zMO8Dgy^=CbZ!N8l{L6V&AUr#S>lwZWPMCx2yV3jenA?wb=poUMJhvdB7te<}W;pJHD}^rK|yfQ1Q?>Yg~n4d^~k{g6J$ARrP~x!+)Z{ik(G zvfj)NJUx0vYmdHQz%?*1nfaDI7N_OeX3+kqhBF!(%rv(*Xur5y$EhKqKPkcY6wcb=`)VB0-Fy0IsU!1%Ez8K z$SmWnY}3iGo_^_j)4-yYv#i2}{Vtaw#*m1ER_qH62m|I+Voh;)s;QAArF}Vfso|SHMHFLbS7n+%{j$m>iU5Vfk~ge za(6_mjfU%q%+5$05{g+Q*)W$%K}^pS{A_YMkU_cZ{lo$!v60+80{DWJRedXrQ5m|J zZj!>+%$Q#g?3n&~lbc>GKUl9X$^MGFWpr8cvjqL%{H^W&ocDH;J99-YrFGL=KkJQR z46QRKJNiKh@dB4%5W^AmGi0$;3Z6S?C~zR=8udxA<8YpT{ z1ssw1+!O+U1LpoFy1HaYp{Xcz*!yjuv0H`=MA<&TIPVKQc~A!dr}$V;gwFF~xyyH0 zSUEnb#`XBVizz0i%!h4uwy|ZywdJ7sF{#m*UD9OgD!oq0qcWVYV}l0MS*dt;pYj~_ z&aWvve1C0pd(WD9eo#;lWP33$#!!-7^NQ+!CrdL=zYQ2w)YnxriolG<*24`=V{+0= zf2)ZYIrgq?$Lr{d=Ft@3kFx#77xP&?ml5YgO(d@K(>l@5uG0(x@vu`7&Wb!eo?TX~?(W&WUyn(x70c`lfJ=*>0ob2TI^s1puRpDkKq z_7W6~t9`!M>>$t^qIvHa>hN$)%%xGFq!&p3F9r}vU!X|6hL!}jNPZ1pkfHGNMf(p@ zgQD|)50z9riTP|cqf6SlkajNM;0X;5POgr6ch%mYbM(X=ttPZ940%Y04spHM%Fwq( zJ^_$}_LtyjnGO06bP9!ZP7?i>qc>eSx(+NlnC#p4FJ}}pQL@-$Vp_hV(egLrTRK;@ zuiea?ZvHH}H%zFah7#(EZA*3=n6z_-?vG~}+7?V3a`v53{+^eD|9kB+kl*j@{5m@N z&Yf54HUheGWAz8im*`YNaVnpTFUW$+U#L&q@UXQtB>RM@L|9<8<15!klBh-%r0XeY{+NJS zAprrj6T_!V)2x%GTBYPBrmr?z{#GD}jI8W<6mfD>J=r*_&c)E?=BXC@gY3U+4&bgb z9Mb#htp!YR$!4mJiFw8U?pveh37(EiL&iC`UMs6*4KO zMc?e=-s}t+x`6?>z|Idq(cVA3x37>vSv097YVBCysL&yHf7ZMEL*&9gEEEi|9cWI^ zbNY1WSgf-&dEG(tr7Nn=?Dp|XhRqV(^}WX*kItKP=KjP=qfx&< zJ6SSu?>jMaLzFvkEXgs0+9YuI6X$(&MjZ2AOwt@dV!_|Ae4qSktW9noXJss#xl{bDCHwht8?vPpOdWycTSYx;gTF`ROf)c^%1;2x^xX$$!gO9D<*;Tl0fq3O`|dsxw(~4L64RFQx3wfz&hYwia&R}?A+2?Izvt5B<19W2!7pPf zSf}Gh18t?}rKL0grg_%Fw%|8!Lz_(UbWbdeoNFYNyWDRrbl*(`{-oWS4#~YUJHaLT zAO*}wo3qo07@sd$(0HI4ayr4wKu$s7%ys*0$J(2WYbR(6VXL>?g0KAK2|wA!z9p3q z`KHE#f$laLxem&c1PdoQt|1NEFqL<9m8*VUlW!9WNTPn$h3}vyDSmHz)M~aqmsOqT z{j!HWdHzG8@wWM+na3#}9Z)^&0yN&|Urczjbl#`r4S8k3`O-8m?C&NEn*pg~cOM^v zIYsfgKcoTvIqHDzp%b2P>o5RYN&DP`E)?g=@;zO#e>JE@6_h0Lai@>v<1E6*&raW@ zIJ5nSHRV=WcG=LpR%cw0xkz@A#P^s}^$|hJ)>gsrKc3-NXyoXXy8`=d-^<5b?7F}H zL506G#&9>vw#=6=@4Zy4&(Ib&Ha50-AMgCZ@-W&N>uhOi>RW)x!Gh)a!}Dy?xfdkh z5D3lFq$Kt z=x9uymm%f&a{->R**Jswxz})9YEbIW@m9B)xWIp{+B zb*#`TB8JvNH^92-evnD#7hRICpN=zq_73x9cB#)ti#1r4Uwo3rd^r@6x$}&V0*3yF zWMq;uPwm7dLCsBH6YTj)D|K9gdF+GQ)V^?X-aF=u3O|R{I6I_hU$0o);8YIS9e9g5 zDVT<4{%aUDHSC)j+oH(AwQb$@jN{kRe!Fu=o0-HWSp6<5E@O7$tw0P^g@*Q>0~d|! zWM{s)RHWppoFt|Y=En{nu3(osGI6FTb6ur>F6<+T<<{DStEf3Ux;dTg$uE3~1vVmZ`Vsd$9snJHJ$mq9*LY@XYHFy5 zrOv;;`eNYt)dh@6a4q8^o$czfy?s!5COIN*y`wa9y*eY)eB%a;l$Ph}##>N7JbSJ0 zyCNHrQBxqnGO$o^U980GcyHDLo|*$10oDc*=K`$HAmRAwbo5!L>!tQdPV1-V_C;hJ z5-T?mi~XPxzc%{I3y2he!)9k^0iN_YrwD$vw49s?e~c3szO*5eRg5G=vr3mIC-1NE z)wbHIZCF~XWRrVNtFbp^d7UE>_b*(Pr!!I;e)Eun`#O1)9BDT5=aSJH`swd3p5tlu zPp$SWoydI@xq+t>@nul5^}4zpRpbYWFrSWRsbA77$%yG%$0>oGF^$Ey->CBI0Ec+W z^Rn%~*Rh@Rz?=fZLqgx&+%=L`QjrZUQA$cO%HEsHWQ!YF7yE+=+r$<8{KzSv6f>Va zD=ez&gS(kd2?sS%_fDT1Pgw%%-=ABz+O~eY>WdT{jX6{HmPM2BX{3y!$iqUP;WRFc zx1&YsCgKHL#{`B)6f%c?epIb>lVEy7DV^1p|G$LrN3A(!5ZETgQ)!yxxFm+eQ2ykBK zIurFZpvFsp$08y4G($1v!Q6MW9gS~jIRwogGF2FTTz>eF;!*Hdw*#%5lS}z8*e6(` zxmCyRp#?l*a<`g&J9juc(ihVIOJ8*R)(W-$C17ipfsZx`HlqbJGZ2oEM#JfV1YtHl z_3*ZQF*+i^NW*^?AfCz35W}~w+|-@IzYl@Xc9SN7Vb5u;hA&lw=)_P8+OkM1g2dGd z#oJnI6`AWw_9P`rJM0Nk1n25K)uh$I*B5u5Q>Q%zIc=}`tzv>q1eap}&tg%@G=@u5Or=1_q#ThBje0JZqrVu^V#?VOm0w6{qg==W3u4cO692#9&s z2W`K%1N|6L^;*nQrW#!>n0gQxs4_ggvzTl>V8dVW5WOK`d)1$Ih7rk;DFM_F?)xdG6?Q%LR_|)EQpc&tb35do>*s(kfa}Uj?$MhA z09_I>blwuYyu8xVWvLzMoL;nEw5$}O1a3kC*EavxhC@<|p6j*WB(iyozvaXeJDeJM^xtStnOdl`i!Y8;$ttrh!j)3m+$S-efUXT>_k zmo+?za6gXkF-2=Uqa^w6^2o+coi72zZp04+kbVDG=xG|B$gsZYF{gThfc{~=jP&P7BU7bL9#cti^!gcmivRr6a7KxH*J*e6zRqUD1-4?>~S)O2WYaAtOviTW(8Rjp#+4mC+&zGnE zcJbM8H}L+jQ&WXc%0Zas1ds(kWZtunjNhTe(Y3jMW8~lRA^PnKBUUV+OFMIs63Z3% z-u@?)@;EQ=>`Di?i9n&WC5Q*MWfk@ZF*x)ZPF^39DJ~_eE^}7Te9};B8T2Eh?lz}D z&bua+udJLCGW=m`iiiK5$w*xFq&;heGJtN%aYx;Ztudo6bj1rGg1n85KY>qC(Xvhe zJ17b5Ww6TkC%kgPo7tjZT-8?hjw)N!K?wqBOTj?}tMJLA0n4|9EC}U?~n^xS*%<*8x)A)m!q^gs!pv5 z$;f>=gT0C(DtJ5F&fU8k z+@))G5uFvYG*d{U0nB~)a2?P(_X`n`4P$4~ZU*`hl@bNGiUls;PrEjprY^KkI`KyI z?O?5$LKPIW+aCue=~`b`Q2ZCOrx~NV^QTK_7N$Vd2P7Bql5N&?Wuc-%o7@y`QSTR<7>urbSkC{=L1u zK>8(0DFD_K8uH_GdUr2o8~N!SFLGzvB!{*(J#pHWRdwftsEQvY^Znmd9;(_o7I&U3 zp-@QUg22v>LGe4;S2qsXoU%|3IdIHrgg}%B!tP((Gy-&R<<~C~Oa~PcL=G#5uzdX$ z{h+r8P~m5+Rp*W-tquF(&55Kr&*2t#iP}f)&r&a9*z<2Q9<7Eg%mt(iU3)@Rzk*RzoOnA& zdb^cB+8~0XO=G_jT;-HQW_5&_2^FTDO^3$!fq7RSg?2`ZMBJmIqRWXw48;25#@${w zA*(q5g&jZ0o!E3*oX~%3I)QCQ9986HIF*^QS^Fa!2<`o&rl_eX(X2b&K){!WaUgmV zct_v9Szdkdj+uk_nI0QEf-ygU*u>UW0(tDW*#>3PW?dWYLwu@XsXUN6f1E+FTg-_o zB68U8BwW%Vy5WHr zc&HT>haKSY8t}K!2&N@5>df$@?`-FD)$*(}vW1nLF9pX+{tSrxfyQ ze5ShhEndxJ<*OaXq|eAK!@4DDZehG5X)cINVj|}#@t*&j@PTL7uJNBg5B{Sk-A_np zoRv8XnV$Uo$QpuZuo5q;f{z!dhgc=VTP2sHXf#*}vd5p!c%Gk+#8)|F+mLeu7XeZ+ zztLRACIr$5AA;lSSt;EUYSe|syDrRSh9|I*pS| z%n;3$K{Vp&@n&+a|9jZa2YYH8tvkm=P5tz`A96-2gNMacg^-vgVoAIhwimPVPq1_l;}$|jKR~= z&hh2v<>n6`_Q}a5PYbIL8|s-JG5=$3VKLF1NH$U%%A_T~1Vj6&U;BvcD1clEgYJE% zsHFtyV;IaGIy-7CSD8zv%n0GZ>y2A+c0D%CQd}q3;4^}gwRO_E*CS8%CcP6)Hck=^n*?N zG*$%pD)jS=CD9-zVCIl2kji1F{b*fL zqy^z-h%wFbO>lwCnnwHJ5sX8y6O*ieqD`{1SM%jwmvR%q*vT^+K#ikyn>jl&qO>4+ zBl}+kovi5=5dwWMhpC39CcG1IhcxYHM)a+MsKBn@xPePT*?OmWD%7nzpPuLx0!L&M z`V@fU7=gh5<;xqOO2NiBOiv^@ZW~7@5@Ucj6OX*5sqZtG@9pd=yne(?{JU=?7Zz`5 zfGtYC-d#czpbUa9i7#8VnhTx6TGhLgb>_ba%NlEYwv}UKt@pRuUHU;|{=yC*HIQln z7>;)5mAMa1O-C-|nG=hFouR4%J14y*q@`Cu|I~Qc+cH}f0Oa)0%OGP#@JzV4xIk>; zj}bn6_?($--(>g!(0u-R^AIz`i_wn^WA5G!xcCOSo4n`TAoQ(DVU)hMcB5rurjkCj zEfv&LaNJ?xBwjtlsBC{hP0gT2`J5u|WqJ8ybl+d>5;N%s4YjlL$qN@Ij+e8?@vVdLdWOnIa>$?phdsDyn}`Ysp5P18=Ue>1zJR1^NxDZvWI#` zbkn=pgqhBBGed}mzfXzn>G(c5`3HDL@bks@KVKZ&gBUOaWe$u4F|KZHYrAG^d+f%d zu>_;L$)P?^p|rBx=u1c$F=#QLq~m2d9t*w|PUz1G%3uCWXJ zqQt^WG!29Jr$;|FHTeNS4D@w22>azi5P@UPn1(~WuftXl6JXfl!hH7d87dq+xAJ3u6-vJ!vKjFE~r_Ie8go9W!oT_WNvrq#;KaHqi z4GabVEA^j5`D*WEWQ`4PQI?6V6kVZx{+z&zAeiaQwvCVdRAW`RFri!>=s>a4@_*}) zS7SS8zxr_}wB7#27o`7(opfuQ@_6=t1%?`gQ4pfH)p=%P!H74vvieWxxkJ<;%vj|P z)sLy39O9}#Mv$*a`^XveRI&CEWe1TU#x{L7YCddCAjH`*9NJm^^X-1PiDl~NK)^;a ztbYo(@2;>q3?bHJ%3i-dsirpNt;fp%!)kqDX1k%cj;00{A9jXa=t}9&Q~h=`a9!!U z@8aX`woAZ!yt60ceAcV=^L9`WO48n5eFA8at*xy?9@B-rQ7q{EJ&0Z*!Qzr&+8ff7 zDCNNJE#mkV#~WG*SMj`{kagb>#(9FtBT#Od8c#D$QSen#luleCNcW@U7zyK>>^iV)8YGkxB zTmsR9kf^9@j*cGA&N?D-uU@^v^BK=#`1icW4wvxty%jt-JnO;@K;s^{k8&U#F=B~for?5NEGZ#$WoVP0JZy(@A>sIa>-(s#w zJp*cLrUrMq-O1wR-GiSys z^A-7ONqf4x3F;J%7eDJ=8MEhdq=*ieFz^wg*#0!*0)fQLOs|sZ5cvr32jaX{Y=npC z=AYzwl`At$9<88RK|U1fpgFajMvS$3%h7kKG~DD;cU%E}Ot326CZu`6Z) zs7lo6b>PYCreC1FFzm7T>eY|WyC)p-j$X>s_x${}qQW@i+%Z{Mj(#i1Pq=>kI6B=a z<9gM`rXYHye0UbAa*TR6{&%JXeE0mX-5Y^N>)sT1cXzYSf&Bk^C{l@+A*>Fs(cAc0 z&&mBuHQ~RcmZl*Gu+bkmXOOe+Yxmg=!^Xm{sFLfE*$*B(;8xtd-0uspfkNtw^_w{? zc5lbnP|xMQt6KRY3&{(Gh(2(whu`{bsnE-Ro1T^he+>7St%A9q-xe~c!?WNc$;!(Q z8UI!wii~y>4QM*nZt(}PHodMMeYnM~Vvv|Rsjf(=M|yZ;%Q!$Vkn6O6su73v*7WiX zFXvyW=zabQO1!ARSH&2*Ki`I2o9^f7_CwOekVP#_KiVAyzV%a<^8oc=I7pgl-A(#Ri z>CE!UkrAh+1Eo%^Z3JkKCd&`qfE~S*_I2Y_5Ug+->>Me{$(`J3R=|QNY)b^sM_*SX zUiSKLfps@esQo1I{|W~#94^_mjvy@t-MO>ueh|FQh=_=!hY+nIl^-Gq z=;-L&96A$4q|*SxP(C>^v73YAb6*57xPbrJIRamvX#QXtuMz+liKEa9fd+5*o81e- z2VfzXk@OH|=SZN{hRSE0NmYWa)SP$(!W;7NPYY10e(L=O!WzKvxiZ-d zzbY>Nv4hhh7b=wt<1HJTzf`Cvdr|y=r?$5L(A>DZ?5`2~8G@6n?;4|Lf@9xLk~YHD z-w8#e`lc-@P4N~>c7y~uHpLCgiWH{bSwg8kF2E|JlFAEmoE-gzsnI->V`_K}+3*sd z8I2S2S|WLK}70NF-?KsS-<2c^(r zw)cx<%q;bS7mK)q-i`HHSLuRQFf5XFbgW?nO5}^>vA{ z1bq5H;oLCKMiFRx`*bsBKD~kzSs%x>%0fh0DyHZ8ka}foTY) zcSkw1?A{Gv8Z@=8G#UBN5nTGYxf;9-LAP&rc)n0TRfB9K);RCYSfs3*!AZd&OkPxak86-bhq}3D z`a%mg=Qzs1ru*TX#E#qK%Lc|zplMfxJ;$tD`tsf9Y(r1}L!C^1Eb1_->z7y-CBxWn z)Kv=#185`aziVr2t4>D?3MnU0g}8&QXg?6cGCnqOZ`ou$M7zKX0q!jcwiIS&Bf!I^ z#Km1nmE5(BuRhMVsMA%jv!$f#lHUo<9grQZxj}QEas6J9i4~0{$yXUA1C!17Pqd;n zEFm@g6OA;~H*dh5L0=U`V9GI9D-=LsyAIqKy}esvzheUX>$QF2G`E#?ppoLvT%v}; zL#)HW_DOnrVnwTu!lmKA%uVk^*IM0~gBHW5mX_}T1b~nJQUh965TKidU=62?o3JYg z%S*W6ky1k32UR0*LCq%$f*3de!c11XGvM*usO#pYk8xLup|EFn@MBhgQuBS`Z}sn- zFKXy+1Hr5W3Uz=(p=4FW#fp?$QqsLXoQ-Hf2tyFi3v?EO_~K44rRZFZNX`matP+5f z#r{@?bYU^ElD~B~=F}a z!sIi33C$0W9)zgdvu8h`V>t|lAljl~cke)oT%y;uEZjuHrPx~*GuZKgDBr*iHst5DA)_t$M5z@~Nk7hy*Kjb?cclqBo^s6v-HVJrT@D10c>4)O9< zLocsnL4oiOh%XT9IkxZz`jH!7n2C+-9HQ!>uTWTaFMZ)Iq~*+rc-+3LqY#AHRP^@b z-hEDbk#N&FP=%t zw6VL?l2iGMT#kfA-z1VEfWl*CrNQUnK}E4+RvsSKm)e4(hOa^BWVyv>wR6tf`eG`8 zd%4E1aJSvPIR&71vck=Z;NS+@gO$8yw+Uvu!V?!O-KYH~+~}#RljqE)oN5fts(#Tw zbmf)hh9NuPjUZuw9O;2Y756OVn+~S8idnMYL}Z+K330u^Yho(B^ra$0(KfqQgpz12 zH|9@+M~HKa%L|sP7t5UZym@Slj0U)+bjS#gDeEe;0B{V(QMWC()=f~Fi5t)iFqlIw2J8`G<*qImud z<)GhTz4w;L=+GGF7?8X5Jo<3!%hFP?B0CcvjPD7W&T8Bz`D5GwXoT({a+Z9F^Kt~G^R0Re z8Xx+y&mJ2P(D5>msq3OOt?W-RN|28E=JMzwx&N8jAHT2P6?oFrJ!d2%=mv$qJRbfh z(AQ_%IsxUF3dO-ryH|iQsNWcW06)y8?`6snJ*(rlF1|3x>G`qgl=JjyZGAmuUTQ_O zx&Z1M3-ijs!9lxYw#brxY|8bZr`bG90?DfAB{G70M?mYvEGbpDJ2Jm}*KD2FJudLy zQ@2^R_q|Bse^vcP{w{^qZHRg-u0qbxu+z%ZPhYBmOQjnIY=f#be1g+dc|4BUdLqbS z!N^Oa6{knlf@Rbi5``@5&=A*(4+$Y5bBEiqcar*FLHRZ**4z-AY68u+(b*G(DKn0a zj0%T8BdJd(bo9{Zt+xY*MKrP|d;-*WDAh6;)|C3JC-d*1q?YFc{Md~iB|^*qP+GPG0Ow7|G`UaqoVy@x3oklqAc`W0F3P zrDpw7byQ_$RS%?e_O>Tnlo$Lc@LRw|fJWdnO9gkV|Fs2jn3x2K9k(wwc0e1a{d@== z6E(jZ%abR4(?vx^xAT?lCD_mE=)~Z^oQ0%X`(6S;DPrbXF_)JTFrwf* zed<)lv~z@;3Ui+>TH27M=pO>akwTQ4&`j;!*2gy0I2#kCJ*;7OQq{xbQ@^2O6rCBl z{j`uqqlm^f$JL$NU;0W1=kh4v;JMi6S=JLedxHFE zQG<8yjTFg8pNjDH-KD{{zQtj;)DnlbkKc#N<)sN*`G1T2b9^^xuid8z%;jlKRPK$6 zh&YS!V-fU}a`Wn3hc-X|;h^AD0p)3`presL24t@Jq>A~e<9KHeos976xT<>d99$K<`{9N41^Xel0ULLZ#pW&;Inxk=>oKIx}@(>->Q#6M{x0d9E0V9JGmXJlSA zt1Hj+^)iuV{QKKBMko{kSV#q;Cgo;7sZv!?I~|*?gg}!(8&!AZG5L{i1;g!}T;kWv z>B}kRWyT(?Rrl4n@b1al@Vj{f9v4o0$&ZJ+(f5Rjp3~StT(Si#Gqq^#DDE2|Hcuw z0Hg7#M=$tY1{d3s=TtAbx@Zvg6s32XohI(C{BzIRzb9a8lM|O>A2SV6DlUg83|n2T zL{Co-wGg)hoX_@7XPu)Ck@mf~2djZ|mVwDAaU)}27#JH@zZ}$@cKyw;k z&e?ZmMnJqQB_-wU+qWRH##}w3d!tH0R`$XVky^F%4v5Qa!=Jajas`n*V~i8!!BNxEz*Yv=#oEpeN# zc0VGH9f_cMv;sjFV=EM1u-av$Xyv)i{qIomXmY}11*#=PVH(MMc%?+=6bze#@@WaG z@1y3*yY}#Z6#8?P#_n53|FNMo(+4>mhk+-ig5|67jzmXz8UMRhU z#;lPd@O698rNnh46yJ1PjEqeUZ(sZAs2=O1YPi^Vuo9#)<@NGDaI z?p=6gy@B4?`%g)UnsG@-uZijT#AygF{Q7nI!FQK(Ga+k8Et-A9y#bP6yvz z-_1W0(b3Vs;xfcUM6{r9@$mlr?jmcgv@>J`#;?zp79^`aHcu*q?7W~$Lwu0C5$o^d zF9ju7li+%B^DE2fu|qoBzA^gWt%sXV{Y4*ook;S>2-8w}dOK^1#L=*X^P8iXQ;z4A!h$K)AYDm2!@xH< z+hc}uld*!Fzz{c)x?DKBErsv*o+oqN$Bnmowb+&pKGo*Gr~Quq)60aAkkjni!v6bg z&-CS<%Gxu1f!R0|uO)6t5y;_0iD@SPw zkAKlTdh@~PiMXnsD%af~pV!{LM^1XQ-Shg>?5#OMW@EtJz#mqJDW)6O*k4`IEfi%E z`?l-_A(TvvF#*DnIkyNJBy)ev z)0Xxivvkr-)AqV?gBTC~cdJ2)+zt9w6?g0HI-j0`$qmX+IHjP+J32QfW-s5kMnX8m zGZE^hs@i?$*_*!VH>WMns;Y*nW^?vY@CuhKxjrNf%2Rc+k*6lUU!)<#t80Q7ygDp5 zFcZROn`xcjsN+EbVL?azzDDzs9c z-?d{|?|O&d?-}mre(q;xm-xapGP(xX#ZP_8_w4sjQ1?$cTmM5N>^9SLdfMi0Pnb2&V8fR-6IgXFNNK zSs6!O-n}~hn(g+IwDt1j22J5Ok5q?G_YUj}T1L|FlX!M{|F647Eb>rY*$A1yw_#ET z#B^o3m+Q)sNM_q&uZ^bN_8I+j>u(ezJwBDit%wK8RjBz`+02CFsZ^lL@Kh0xa40n+jGd_YmQRyQ zyb^v{)5YK?WejwV4yTZ;ESsZ|Q(__`wM|XCpf4a8S!a^B+oqFeeIPZvk}~nc7p^(- z>io8SH?s~jk4uOhQq?Alg?m`}O1)n4aJ7Wn%0EvLW(j~ybaeFEfQNN;8OgnmAD@|n zgk_&XnbJQ;TRs19PP$-HS?=Xqz-Jc>a`PnG!Pa`(NnXO-Ba&siaL*5%no8d{9dn{q9>_ZSNxG=BTn^WJr`!G4?p_n#=@XMlYXJ8Q$@i0y+%og%3C zVl;Lv%v@vL0|_@0^O7u@>VJaJ-!UnSDxTzC)uS#I2QSf>b1>?LdN5~+8{+DC{>RlV z-c7>!;pqN0bFsI0+#PRDRwV0mNWG>SEL01kBK0LKT8Q6wXXBg$HV!Too zx`5>xdRxe58?o+=um9!fe+6g1%-+JSnBMI?rmyITg6{F&1IYH!FedHsBPwLi^CRoy zPBW+Xj5D<=b^8700;uK)+m{w4j<^p|?(!|1567QR=#TR;T87C|m`R>MjvBheQySF$1J_;HcsTF6*{-^r=60k+ zRY}ApM=1G@F%%(7K`w&YP@^v;@OS=rz@^+UOZ$ZUx0L1_`kcyxmtT~`A*dSy+s)EiDR0g+y~SXF^PV@*>hkw=nZT}Rhn5q4`WbX z^Xy38y=92b{-Ekw-^goQ?#IWqxUaHtNZRpWJq>ATwZ!)YQwDG%F794=&lY)&AK4fa@BgAjX8Tyy}RtLt(B8MS$6mrm+57lW5 z!`sHq-2fC1j07~J0>(noeG{0Mt>rQp4owVXm-Unp5Xb`lg3`m4prEdza}aK8iHFw3 z#c{J}Oum{NzBoQW$Zi2xJ*uo6D`ugtsQ45Ghm4A|cf5(JBoKj>8h7mi;SN z%5V5GpGL3^)GbU;o$AMol4w%^;V3bPc40OJq*JX?Bp|Qfvc(;oQ(UQL*9-`7cyN0d zA<%CL@;^Xo^1Fow(u9^Fh=Z)6rIiI&8w!X5hGkI{JVte-EoiYSoYeT@$T#%*{x{GC z0?fg1C8Q>mm6btd4H!i2ssoj31qFo+?TC~%k-V!81FH+RCFQ@oWHFa(UwWt|{<_1V zS6@k0)BoWp{Oz%bPb)7P->T6cUub4zRPS1CuqZH5?+w>t9pB8zSS^UE*U9s*@?^r(4lJdfjo)yI?aGCka&u+I~ zB|dHz?>;y-rb14(&9J7~GrKN$JI>IUI;$pjjN}z!e_8S9QAZ3J-eI{Kgjn3!dmhCR z@$qAyKII74(mp)O6gKG%AP1oE=bfEv_nkCSP`G;grbkj;q;GbOrqrJ1 z@SVx6-xBvcl-4ODeTVoXRQM`w`{ZE&P|UNu*#7OMgbzmY-J0*+dJ5ts=x9^R+8_hU zO8eKw^_og9J>)R4ZCpva9m*x<4n28BlH(ZM`-iWtk*dR78}7yA#K`G}_^n%qdBhGxD<}Zqcm9}Tb(M3dj6NbV?75@mt*yG7 z=e`LRwh!{v53M$euAdgVQBnhhCrs&1@jHL};@!da%n_5P#YCd%B7fMfc6MFjr6}b( zWsTi{q2g_Kj%?uL%Rr?HLkpG0ZPFf-IJbq>#{RiOKB-7I)+m2LX`Zi2#uZ5^yMYhXe$m z=kojDtq_Mjuc1MYl1|6HxRkttf^uwGWQ?fo4bT)kHNJhQo<$cH2&CYQSXnHb_QKtrMH^2f-Z~w{|dT`2n*vvd>?l08h}FI z?4=~qrc~BA6K2DdR^s_S=<^f$ud$HTr{=&N?_P$p)i#?YS}h@6>I=^MFN=W`B`%>} zt9JSWKNY%~iZ1@QrHkNXwfWqC?AFDVwcwpeBri!KhN#H**tS+tfZ?Fxe@m}c-9>y) z`fP)$!nI+3%s1-bK-~;&I?aY4??)Wo27aX(8>;cS&0|V;zWQ!3M7dt!&K8uoiSjd8 z)96#j-(ctp`hj%1IWXl2ZUAl?TIP^BK^YkXwAf}xAtZwiYDhZNrI*G*oOZ1ue z4nXupAN&h^%#|JIlLD4f+$?{laM)!ydK)FFiEnnJRh6Y9t-y}C+_!h+kYHqfk?gCk zt`qVrR{zRl{{i1fRVy&plW1bHFl}{G{fKO_@LX>LKSGjT%+etJb`j}oZBAk?5?O|L__nKY);`&g= z02xr*T@4tHz=@w-Y-$;;7z_+nmmR2~D1DB&uC=WGK{IClcD4Gf>D`@=x+HS?o%_EZ-5A&M+ti=K_ zvVhq$Mqt*KgD1%ga;pyDSOiN`3JM(WcrRPFtPDgzob4uIBN8LVLc2oPgB@kA%gbqB zjcn|N>}<6+4P=uMfiypRW;xV+2Yd-gT9}z#0q=PbY}|IJN1#OjQAOr3bgDYE+?vo@ z3jqMM_1bsM=mP%2=C^XuPH8bHyKootIg;tY1cCQsT6OR!E9hKcleJA`MntqihJ4si zfE2~=7Q0RvLsTGz?|C!T#@gEQ`(8mMWZ$?j6eI4Wq|DCFwtv04WH{*Q%zo68cq5)w zS1%#nx_ukevbXUqkvPgBf+0@8W_W0k~2* z=Cf&Pu5bBfOg?zc6BDqO4g#zos$K8WSw>PLU=g=7bH}lc z)xK1=RjvG=*|L{zXHiJDAyerJjrW6x5BMFcyDr~uOb5J?D+y8zoTc_3Q~=`xbl0Ec zoyPqGn1zBfJ5I$05FX;7QlN`4)49FdA$?MKHRrgdCIKh{%Np}oK_WH0fi;+Jn7J#r z7@;iYQ2|~I#a*=ZFDl%{98wz(Minyg@o;%(X8C5n^@MUp>s95&U~I%=O`J+?vdoA> zDdNiR_woBnsttplB}{Hr!3}YWihG_}Bbz+pX${^hHjG<=i>NQ4=mFSqRY)(H(XZrs_pd5Jwdv zEH2SEbgV^}{nWv%%uMXUE!fXCylY5aZ$6(_S$tCen+x^&zH#4;uj4~gHi;v`TH4xT zrkWG^hSt5ToFCanWcrfibIu zn%~^)IyE!10fM9nj&2$1<_H8cOK<55=15NNC3)>Uuvqf?4W|8LgsOfV-X`Xl-guA{ ziS`q0@M@#f3mQ>GEe3R0OXtwT+aU6QMKObO2@DF_vUxLPz|d=7Xx;Jk0j-c`=QM7L zilQP&M=FSP<>accXQMY(Q=VYJ2@)WJas986fPlhKB5yZr`CBk2{xYm^&@pF9#fOf*X-Ey-@F}Hqh*2hagig5 z$0mkbgD8g3NQDs4!9#~o4Jn6hL34rY)F|d`!Bz=bF-)InzKDWZv|%M-xM2 zw{4pkX@Bwj`9~1Llqst6@=NVIE`XehXk!oTGgQ7Y$cq^9jEXYc6u4O|sh3s zQI@unId{@xki{69mGu$4g-TFiQO<#Vldx#M4H_<#T0Mt>@-wbp59(|)-(mVWhfCiCE z1$r95jw-rtp4@bDhSbE7bcu=vuG;Rx@%=qNi0f|r)`u`E%c4`oTo^t4fR2IueNLRJ z`#9|2ivXMkQp)G0B0*2$?5l_ZQ1-^t6nwsh6q z>i4YpAgSLAbvnq#eF?a60t*4y7!hBgO$JXB|Ke3{3n4zHbm!UAr;PX*GCqW1@;Xb1 z4+r}Kl59!W;(M23i)A6aPK@M_=_?SVCF-sqhP*-h4{;)zyk9m%*aMMKcr1#~d95HU zATsAGKQOo}G&9rZNO zFK#O$qPuoQ8%5OL_|+dZRWyDCUS*f9fUN|E0;AX|p>p(SISOnz*cA=p*2sP2|KgW} zxQ2m6H~~)=Vl9{wgTZmKvVh#glN913xMi|4(5a-Xq?dIxSN3ShW zvqeOP5UO=d#Q1?v<^0bWWToC;RxQU@re4}!p=OwCR1Fu47)))*{s9rCsNVdES|8h9 zr}`D9|BA|O<&02j%{f^Ka)Y*h^v#<{79T*Q8;ufbiN{uGEnLkO-TtDBczR$_YE`lq z=H&$j2a9*U@A#u~@Q<;>yhdeZx|VNu3k%1ZZq*`)Lga&vw}3$yxJ{C_2^{Ay5x0Nx zR6y2E1QDp8>CA$Tnu72rScCdsZ#iHcHW{}l3Kj?6aXx-(GBiiumjB}vP zW2TdDqbXu=lCgAa{4HBvt{P1CiasY7|jz$6J!ZC`}#L8+G zI^bt}E6V$4kk$Z@BHGYX=>9qKLY-mJPl2qyEy=Ll1x7HdSwke+8rvIblF-hbx~SB` z-TLsX!NC($_$Ru`fEt~wa04y;BPO%Kxa~z>6M_qHCWG6)ZN&jef7CG+k6*tL#opAZ z4g?wHuw~>4+#e|KvJ{Bms9rNz`3#KEu)y3Xq^k^U(#6Oy5uSth0p^MMUG9HDRCc$Ywb?RwqjwJ_I%j5WU&tR4{W@^)=1Mt6Vzfg zX9t>?DcL704O^&jqueH2bpp&0sbK)eEP7nJ?n@>a^^Jvg;Sjl1M_9{xigsJV6@;+wAd0fq#8usJ3n8j8l=oz&xZ3n)idD zHwcX~Mq#3Kz1lTEfycVbTeBQItW%``*;_ zmc12oxQ`34Mm{!#YTTX(3aDeu%*<0*w1LG-9MBF?BVO$KE!)@s01PyHvPxWflewMc z^@s?^6m4YgneTPEMe?{|+i}9{W;WZ(of2k=uV8xFg71(3JrbagULi7>;txS5^s)+5 zQ&)U*JAWigyY9VR_xPi&<%T)h8RuVYC=%NQqBs56_kMsX*BQsYTlSQFM@U#+RyOUC z=!e;6ERYaF=h`cA?Asqu#5S-HEjN_4YRiN_*3lEHaMr~@1JL5M3shfMddf;jY}gQl zQ+}!PmxS!JW41)(mFN3JVL7ctCbB^L#pCA5&?MjP3>PFdb1XS`h#; zW2PQc`W57{iJxi&eC6Q`cfj|)9T_>%qSM_djP5%GsDyW4#KGHvxK3bRGKoa4lJDig zz>CA5h5XMKZTMy4epjm4ZHsgah%yQVw&M#s2R zk3~Tz#$ghrNlXznG!*=I_7#1yWqJ^z9uPhG;i3lRiIcE2Nd&(RYu+a}Q5a(mr^(N= zK>0;W6%H3OF){Jrfjs`j#65C|V2#{SfB){?3RIP0>;@-Y5;KTncsWSD zp`j<&1CP_-Sr57qaoNA@Ap{gLUv9A!MuiV?tiEvM5P1SqKv?ESPQh%TVt>j-sKJ)!17OPUPc%VfgRgX9v#6f1Vu? zDiM`75@`)hnHo3eFxqRsEL;mfRrNGYT>j(d&yRv@gW9IsUr$ZIE0BLOlNJQxtv>~z zrH|k;d^kY?FcR)l;%tooYD$`#KDW=D1uFfooGXwRv3ZzFWmPAU;nErqE38W6&D+f< z;e94?Z(io@2cf$y=Oh%6E$>|;3qkXRgX0a~i-ei)RyXbsAf--8a`oo9-n*>5Jb{z8PS>OOwj1QF1EOprxOK%=i_a?21% zR+#p*(_w3Cqq&$#dZapa0pu`(xyE|ctH?g z9GF^pcJ9R7pa2WQ??0!%oJJhKuB@rrNLbo!x>1bgUT!Yds=~p8D-E8^ulPD}=)t!W zd+Khhr=k0UFHS|L4qC&CmIa;5=0{8`CS1zFThh*8!X=)!v%|o=S}obls3<{qL4b#6 z4StQNa3>!hxK#2RIC({)fde?X%{wDl9s+Ca5&K5Q)VdgUuCC(qASa4d3n~EjM$$pJ z7hECq48vuw0C8D`cMvbWg)G30qD|oIb3;vU*@5=} z3XpfhbS#A;o5RWX4)`s+oe&00tih##9kR{ZsAxqFQZdyDvSjlh5T^E}2< zQXLEo0zxEGNq8!F5t)p4{xhjqbs2QH#A-D_K97&j?cg%AdXxDcY)x=)6EjldE#i0i zVc8Jm$3V-d(Q})kooqnnMq{bGjvBp&j0N|J7%X=b9vZbYU-b0!h|N2&L_ahVUSZ(v z3r_Jg(>uVJJfJ-1=dZ&Os}|yAx7C(H)4Lg#|BX)^&o_9eRd+{!{gnH(P212=g}i%r z^7Lfx(|9qFzE1Q*f!ldBKjd8Aj^{?g;n%OKi@D1n`H4tVb((xfAN*%yI=;1AH2*H|2WS7uRjkV^}l_~#l`jB?tA_V z8Q1=YD--K>og-Q&B+eP$iIA+J2cAmEs6(?BYaDD4H;nE3a1n;4JnR<`yOmQ_a1&R>KMzNIW*9Me< zy7j}tR$FaWGtejzG3e(S?MJ(jiOD-)LpZHkXO4Bzz-zvxL5l89*YoCKlCT^14GTYV=HB%E4;F6}m zs_PH1vc?$K_(2-y+yiaXtEhlG0u9rUpA9$Abjq(U{#(FUTXF+gm(DsO!VLmY^Pb_N?Ij z-)GY}vnw5d_gXcSo?nS0QRj_Fhe$wiQvEdyokaIN)YpNb6cY~&oebB)!cg02kml#* zg=+l)IXSPQB8dje8n7u)_=}d(0blbtvN-eup1k;;>4A{tTl0cW+;@QNL`ARPCARf( zF)}{@O(0$%AwW!V=n6|{T-;H~g;*pBz=|47$eK`n!87eo-rIRsS7rJ?uGu*7(3f_D z%hc#aaJP{(96xd5ZRT!uoD)z5pob$kqVwph(9c1glEjGaf`Ul^dFmGX8Z5md!ov}W z6$6ZblLD<3mmmX#Y~A>k{8e}+981mTSRyhq_!ybiug|qYj1Fl-p7jryw)0BX5F}Jw zN(2U+u(RL9b8-0C8G$8ggXTDNFXMJ)W&$ca@1xPV0!oksrQz;rfApW+Nx@&$Lmr~I zcpA?R_@PMjD9T00K|DntAtK(z1xqGDW)eSfCSfkR(@|85@85TAeIeW^j4uy`lqfT^ z6JSn)T#R*#CsdDn=+}X5g~CGzk2{bv^e2yXFywe@8&FcDRw*j8%7aYKGV0ySF<9|VI1 zDHl>XV|YoQlP?v}qa$v=f7JoONLLq^sgd@OiL@aOQ_qRXvC9L;_+! z_Ze0kWc+(aCS9gjW%coD=%@>dipbDslc49~$IS`p+6TcxrlwKM~iG6R z4x^CAN1qynDBfShCxC2goOpywKl)PR7)3Bt|`S5GXo z&A$Q*QB>(gL2)qqj^61krx=tJF(Puiuy7;pC$!d(#sMk9-Zd2PZ?!By#)>67`T28h zQ4z!H)zDMvLFv@2sE_scw=+>Cev({p*}^QtYoyhh@SviC;V}$`(vp&rQ2NlCZEJt_ zY#6sMC(7(mDJH9<>$$)c-ASmz*^eL4TT7Sv#7OQSHI=0r!H>X;JMn7uIy&!aOtKK$ zM9&CI1=^b--BZh5|3XF=*!8I+zxMU(xQkOTIiq03y=XWtji?k!;M7jE+f+P5-p@M6 zrN{iwh5fqyVaIx3Yz5F`TnJSy;rs!#UxIs0Mn@>dq@<78LH)oi5^-rRAIMy)W^iF9 zt*q{>DZfolW|bZR zVP$r5b|7+_3%+dpSf>Guf-`{84_UnxE!y_Ud z@k{RAD@qHuW5n$8ZOov>5WEvkPB;y-6S2}4ujv|9wq(B}L@+S%`smSuyazF7*o=uM zO6XWKCIF9@Q}&>>-u#Ca{cIoZk?5melR!-C-8hz zDO8F`BqI+X6JSEU;0G6P7j6BhsN=)#d?R6&D28n)@NbS>F?s3l&uqzFjGe~`wnWPi zQSpn4Gm9#xH-({1KgEb&#~g~iyixQvE$<~Um~=yp2j*ZE-oUp zh>OwB=_nnpo>m5`rJr!w7q;8d#>PNAe7)o!CvkRqVH=B%V{O1i`sv0) zNaTJ6qO5GKc{j4T(%J7{U$Tt|#;~ZFf^Ev0=-?%H3g^oJWinuUR0_veq&fvs{HUe6FlmZ2Q zq!`$FptwKJM3L+%)-fUz-60M{1eh?UsHDWnxp(jVB~;X?ia{|Hb=K3c1PHgu1Zxo_ zr1Voh4{^`&DS}G)q_#E%Hv!(c;n}lJVBw-^N1>wyB{bhO%EM5p6JQq`(#N)<=ZTZa)Y6eSWV=fmOfO zWLTBQasz=9{jt8jCKPc{m|4vx{pwkI;hUx2)w!PYKXF#^aLsqrF>N6sApzjJM6a7D z2S-A3x!9)X;EQ+wP6QN-a2O>G^vE!BDU?k#ABi$eUh?-kIk^9iOmfXQ-NKzk=%x4n zmH-*aBLWAF1{_4bEcB0}4Gs|jY+SHs1Qwv;wrg13;y;fqejWE}q_)CR$SgAN5fzly zA&1NB7jrtJ1*6gewZ0iRNjUC6K7f_DBp=?iwcgcG&CG1I^j!dmNTfGI#HMUPey~AR z^#z7r`Wl4Yyy*!f9BuMi-TZ$Lcg196;tf81_)r9>8$j>u%na(+KnzHr{}mSDM$&RP>)pu>;kEdB7Ep5 z(aX;!V)6to3;7E)^IA|5L&hSDz!EMAcrHfyn(cN)z)@CSF0mMpVJhJp6mzrds^Nt! z&zva&Q2`q15IxJjecJ?=$L>DSgd`31#Rs3#7ENrbY(TZqno??#*L)y_G6>~#W#xM0 zUbA4a+)-B~*B3|;s+Opm!B0ak4h1imp!-Eg_M*6BOO*Z@B=Mbl93&Xl@L5|{@8ht3@ZhZ z&nlF~I?m)^bWco77w%Z?{2;imU<5+wIf|YbV6i;e{-KP6v-1v4xMAtdqGoii^u7TK<%xnW*~rB819__bE?({L!t$rK>(_B_%LQsZ@_ANl>)3;fec&fH!sA) zlWHi0CXlCs(DS)T!PB|vV#}8?Ki2_u;dVT05Jr&qrnd}%RO13SqVS`UL^|d4`OW^P zvK7d0OGmNF)|k!0fCL)8Ok!i%AG?-7bR%3^TT+$TuAphB<7TZ>V42>s(!BClOj&)GyG z@z)|MlYoeo*+t}QU_lm~tAv-sV_L^JUh?SiW4{a~knTh9T##m4j#*D9j)js`D~52P1xEfXO-*bL+8K=sp)2PEP`Pc zKV!vl%4}Z(SyNxX3@JVuC4pJ)m6XJ~oPvY{Qc}rZ2f?jFa3ljwVGs|1dA)vJj%XKa zJOAChuU!?Q4G{$EC}=nEXZ<-bZf{-O`8<8AQ1oQ!{w> zlP>#om~Lzk-Ez#k+IFaU`|hs0*O1aiUcYXqm3VPi%aU@Zk9tRM4fXfuA?nF~mM;bm z;xz2eNA8%dz?xUhHD~!1i5M%7;(D!e(sUlt|L46`A2`w&0@LRawm}8x5nJMQZyoD77CJxA`Pp9JM|kQ`Dx;#Nle8b8t2~3Yp&wdh{a+zh zk!g_+cPY|^&N<9LxBuDa&eV zU;sK<0pw9WyqOW&b6|glg{^uX+Ce{vT?9r_^chUs+o2qVF>Fcrjh~NCt}6lN#%h{h ztv@SAPhEqE7$^M9`VAztFkhHB9v-^&{V9|R-rbhBH*uo60grWz=T&7km%^3fphm#t zAj^DpV2hNUPuMB}`bBKgXd6=c!N$b;z0;`MTUG{Rcf^BcpMMk-BORf+Y8rOoTFg(s zk9+;-8kmzb0~(+-oJIuts2rJ0jl(K1rf@$yCc!Ebs+i`quYv`Q&)|H1^&)+$VGf2o zb9JpoX~Fm=uaMBm61(l=;aE%xxBAjm#!neiJ(KQA)7W8F3&03-vG1xH6x&umdgOZ% zj4KWORtv*=D>?8&O-#1sw?h{oFF(H{1zFYnWRB-9RWKSX3iPsv?`>WTBD}ubPD#O1 z6aDn2V?>M(HL+z~>S=RrF+jk91G-~9gA(pJJd#%=iXm?$!};KA8^r?;*D4r+wxgj% zBzSh7p7VNFEwY%L1+ZmQmA_I{fOCL3@B&o<67R1F=!zxWV||x1kXEJMJ_4Z` z)qwCt|Xdq=7bJpY7gS-6GqwEt~hS2U8 zJqZXVv$P$9+oR7!^6RSC-ZTiWH1j&_B2YK;2CmlL_rY(TMifdIfUnh_ zNA0?Wx5yKys)P5RH*)025wzrJnOy`+A4CfAEqy?yzzsv)*3s=Cw!?tyxnKnikmVey zoMu={^c%9v+`fy5CMqL%0Em$>_Q>NzgNIw5@_K8O&G6qG^4@VmJZ%EwGG^m=ON35;`8yb+n8Hz^*%M3eB4?Tgd8u?Y5!! zTSVSjP%LW&r4sg8r2uMB! zZY&o!9(%u2NN652IeGU@;<{lKMeAS{jM`6Ddc^4xy%GhrS11%CnI8R0kJqT06;R(5 ziChvK5Ksb07jOI1vuaOz>18>=fY*z#s#+13gme(eL_jJI(%Mi>LubFSvA_S6Sv80z zou{EeIG{QPBGs-Y*YcI_9UxecNXL@^ng4ZhFDyzOFbr_>z|!-ffOm{oM(3ko{cD;l zAjjwgTcsV;)7vC^=n5_y<{gjs__1T30k97`L^HWQfI_QQH;z zQY8APm$sI=dXjn?kY2=k51B>5J(!t$$7wo41={W&vpM*VNtZcP)TtTRMu&zhz=eT) z3Ip2@peXGb)aOO#mcYhr%l`>GkUbS8B_(CO54`cz_7H|&+mwVJzT?MP#<@M3k`7vX zd_W{<)#*F8S;VNyi@NL-hAhFGX3XtI3xvnlr#tq@p=AFqp98sr^BN8-ber4N|{wf6>T&%~gMMeGeYJ2as%J=foA9rnW zk}y&A1Q+ew$F4(UWQNfYjmpTWKppcW+WI+hbaj9rphR?gxsV@E&`f}754}*b16oR8 z)q~3CgD6-b&`@iE%PH%>K^<=L)Y?aoIAapOCd>nRZe|fopo%GKg=RQbC$@gQm+P16 z5zTe@RtW)tUJWe6-9uzxUWhXhaQf%uoCBc?ehwlk z+tvm|Mz&*OcmSp31pV;-!Mdx&g;v=yF*DE1&We6Ia&yl~q4AQ2>gvQPQl#Zc-?%a} zuy-QX^5N63RIec0Gi}e8aI<+`T9C|ze{A2eqdjBWU6J=ovf>PLZi-tm=eMH`Xjm(R z68+UH&;C+ZM~4C73yg(MR@CdyqVBDOIS4t|9zF}F3BQZ92C;d1FfG~|&^V9?<5FJ( zx?o$zwkrCQ#JO>>ppfq57l}ZpbQFY0_1+FQ{0F#LfH|sIKrBzo(B~mqCg9KEVI?xy z#Vhw-+Qqs|qb~gMDEM!ghT8)ob~2cML>`Mh)1W_!X3kCC%T+tHLw7RpxV|PNv8s|^ zX`(BtEk%``lUG1spX0D*xzbub4Yp&CQ6N4CtQu;4Akd?1j~Ur84v0n#;BC3N{Yu{X zQ=;fBQui(vZL4C%jF>+l$q=Chr?K_y8#J@JMgM?N1OG#m59Ie~U%kunQ49irg8|1( zX02jTU~MGm@jd0U5Qh}s($>=>BPJG3v9q&-5gs|gBz$Fe0@xz;@)%8X^bi1Yf&8jM zx`Yb+Iuns3#NYd|2>=RVB0PWyn3R<(R&XT2YOEm&PmMM?LPSS8yvq|)Gcys|QTR?XJdT4C8yRWWYFfWe zacemg;-B36OxWTULl6W_n87QN+{rYYWK0Ek@->=di4HMD_N`-IVQzNOB0PJOsU37_ z(MwS_$Ixv;+mMal5lhQqU@?>@4GmYHvlkQ=f&?nb7!euyskF35s;uc@4ZG*AuRl{n&fi3+m6KrPeSEAA>F$omRIn$oF#=L zy*e=|_0F2j!{&ea1xhd7A85X2%%f)ZfKOf@N6^S@$IEZ6-}?HNe|qoU>z~ViBKw)7 z8;$)+Q(Y(MjW{}LU4P&FY)o@^%+YOYeb&T0A8@)~d47V~_s#r?*xCvi^E?#y z?Cj(#k>`J>k)P?R-+u4To$Z@~n@!`6@!TscG%M=byJrvf5`^m~C&g{J6)_Yi-R+oX z^w7p(hdor6ypnisB$w!CgX$LlVWXd7O3Q~2AMOR$z75@$*1UDjCV5?Haq$JH2YGr{ z;!FT^N=m-!?v8zGGWG4-kPOHEHJ7X3F!-1(kv)E#jo1YV)0)g7wUuWTUo6k%w;JYi)O`9U+mH za4C}aYiem7va^W%(QqV$X2?rvz%n~0>P zTgu!#XJdmi0X$Y-ULFzhK!oLO{s}_LWZ_k{)V6~t?GrCAQ{$oEjG3yu+=<_W5hLAs Y(sTfa{|&9fQpDdW9#kP`%Nt$(Uq_+VjsO4v literal 0 HcmV?d00001 diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md new file mode 100644 index 00000000..febd5994 --- /dev/null +++ b/vignettes/ScoringForecast.md @@ -0,0 +1,244 @@ +--- +title: "Untitled" +output: github_document +--- + + +This vignette illustrates several examples of how to score a seasonal forecast using different functions in s2dverification. + + +### 1- Load dependencies + +This example requires the following system libraries: + +- libssl-dev +- libnecdf-dev +- cdo + + +The **s2dverification R package** should be loaded by running the following lines in R, onces it is integrated into CRAN mirror. + +```r +library(s2dverification) +library(devtools) +``` + + + +### 2- Define the problem and loading the data with the corresponding parameters + +In this vignette we will quantify how skilled a seasonal forecast is. The model will be the EUROSIP multi-model seasonal forecasting system and our real truth will be observations represented by the ERAinterim reanalysis dataset. + +For more information about both datasets see the next documentation: +- [**ERAinterim**](https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim). +- [**EUROSIP system**](https://www.ecmwf.int/en/forecasts/documentation-and-support/long-range/seasonal-forecast-documentation/eurosip-user-guide/multi-model). + +Both datasets can be downloaded from the corresponding server. However in this example we will use the BSC esarchive database. Files path parameters for the Load() function are defined as follows: + +```r +path_exp_EUROSIP <- list(name = 'system4_m1', + path = file.path('/esarchive/exp/EUROSIP/ecmwf', + '$EXP_NAME$/monthly_mean', + '$VAR_NAME$_f6h/$VAR_NAME$_$START_DATE$.nc')) + +path_obs_eraI <- list(name = 'erainterim', + path = file.path('/esarchive/recon/ecmwf', + '$OBS_NAME$/monthly_mean', + '$VAR_NAME$_f6h/$VAR_NAME$_$YEAR$$MONTH$.nc')) +``` + +Our case of study will be predicting the North Atlantic Oscillation index (**NAO**(https://en.wikipedia.org/wiki/North_Atlantic_oscillation)), usually defined as the difference in the sea level pressure anomaly between the permanent High pressure system over the Azores Island and the Low pressure system over Iceland. Changes in the NAO index have a direct impact on European season weather since it controls the intensity and pathways of the storms in the continent; Positive NAO values are related with stronger storms and thus wet winters in Central and Northern Europe and its Atlantic facade. Negative NAO values correspond to reduced storm activity and rainfall in Northern Europe but increased in the South and Mediterranean Sea. Especially during the months of November to April, the NAO is responsible for much of the variability of weather in the North Atlantic region, affecting wind speed and wind direction changes, changes in temperature and moisture distribution and the intensity, number and track of storms. + +For this vignette we will use the whole North Atlantic as geographical domain and we will select all forecasts starting in November for the 1980 - 2010 time period. The EUROSIP system provides 7-months long window forecast inluding 51 different members. + +```r +#North Atlantic domain definition +lonNA <- c(-90, 40) +latNA <- c(20, 80) + +#Selected time periods: +startDates <- paste(1990:2000, '1101', sep = '') + +Loading sea level pressure maps for the whole North Atlantic and for the specific period +data <- Load(var = 'psl', + exp = list(path_exp_EUROSIP), + obs = list(path_obs_eraI), + sdates = startDates, + output = 'lonlat', + lonmin = lonNA[1], lonmax = lonNA[2], + latmin = latNA[1], latmax = latNA[2]) + + +#Retrieving observational and forecast data +obs <- data$obs +exp <- data$mod + +``` + + +### 3- NAO index, Forecast vs Observations + +As a first step we will compare the predicted intensity of the NAO index for observations and for the forecast system. + +In s2dverification the NAO index is computed using a common alternative definition; The NAO is defined as the first mode of variability for the sea level pressure in the North Atlantic region [20N-80N, 80W-40E]. The NAO() function requires as input anomalies that are previously computed using Ano_CrossValid() function. + +```r +#Computing anomalies along sdates dimension +ano <- Ano_CrossValid(exp, obs) + +#Computing NAO index as the first mode of slp variability in the North Atlantic +nao <- NAO(ano$ano_exp, ano$ano_obs, data$lon, data$lat) + +#For clarification, we normalize the NAO index for each member dividing by the corresponding standard deviation +nao_exp_sd <- apply(nao$NAO_exp, MARGIN = 1, sd) +nao_obs_sd <- sd(nao$NAO_obs) +nao_exp_n <- nao$NAO_exp / nao_exp_sd +nao_obs_n <- nao$NAO_obs / nao_obs_sd + + +# Finally plot the NAO index using Box plots for all decembers. +PlotBoxWhisker(nao_exp_n, nao_obs_n, toptitle = "NAO index, DJF", ytitle = "NAO index (PC1) psl", + monini = 12, yearini = 1980, freq = 1, expname = "EUROSIP", obsname = "EraInterim", + fileout = "NAO_BoxWhisker_Original.png") + +``` + + + +The figure above does not represent a good agreement between observations (blue line) and forecast (whisker boxes) due to the large dispersion through the 51 model members. The NAO signal is too noisy within the model ensemble thus almost disappearing (close to 0). + + +###4 Quantifying the skillfulness of the prediction. The RMSSS + +Let's quantify how good or bad it is this prediction looking also for a better understanding of what is happening. To do so, we will use the Root Mean Square Error (RMSE), that it is just the squared and then rooted difference between the predicted and the true value. + +s2dverification includes the RMS() function to directly calculate the RMSE, however, in order to get a better understanding of the output values we will use the RMSSS() function (Root Mean Square Error Skill Score). The RMSSS equals the RMSE but it is normalized by a reference RMSE, usually asociated with the intrinsic variability of the system (for example the standard deviation of the climatology). In s2dverification the score is computed such the best RMSSS score would be 1 (RMSE equals 0), while if RMSSS equals 0, the RMSE equals the variability reference of the system (i.e. the standard deviation). RMSSS can also be negative, meaning RMSE is greater than the variability reference. + +```r +#Calculating a RMSSS for the ensemble of members average from the mean NAO timeseries of all members +rmsss_m = RMSSS(var_exp = array(apply(nao_exp_n, MARGIN = 2, FUN = mean), dim = c(1,11)), + var_obs = nao_obs_n, pval = F) + +#Computing the RMSSS for each member +rmsss =RMSSS(var_exp = nao_exp_n, var_obs = nao_obs_n, pval = F) + +#Plotting..... +layout(matrix(c(1, 2), 1 , 2, byrow = TRUE)) + +#Plotting RMSSS for all members +plot(rmsss, type = 'h', lwd = 5, col = 'grey', xlab = 'Members', mgp = c(3,1,0), + main = sprintf('RMSSS for each member (RMSSS average %1.3f )', rmsss_m), + ylim = c(-1,1)) +grid(col ='grey') +lines(rep(0, Lmember), lwd = 1, col = 'black') + +#Plotting boxplot for good members +igood = which(rmsss > 0.2) +rmsss_m_goods = RMSSS(var_exp = array(apply(nao_exp_n[igood,], MARGIN = 2, FUN = mean), dim = c(1,11)), + var_obs = nao_obs_n, pval = F) + +PlotBoxWhisker(nao_exp_n[igood,], nao_obs_n, + toptitle = sprintf("NAO index, good members only (RMSSS=%1.2f)", rmsss_m_goods), + ytitle = "NAO index (PC1) psl", + monini = 12, yearini = 1980, freq = 1, + expname = "EUROSIP", obsname = "EraInterim", + fileout = NULL) +``` + + + + +The above figure shows very different RMSSS for different members (left plot). Most of them have RMSSS close to 0, thus the prediction error is close to the system variability. The general RMSSS for the whole ensemble is 0.015, what means a not very useful ensemble prediction. + +However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 45 and 47 are used. Now most marked NAO events are correctly predicted giving a RMSSS of 0.66 for this 2-member ensemble. + + +###4 Quantifying the skillfulness of the prediction. The Brier Score + +Another option to quantify the goodness of this prediction is using the BrierScore() function. The BS measures the accuracy of a probabilistic categorical prediction. BS scores perfect prediction when BS equals 0 and worst score corresponds to 1 value. + +Moreover, the BS can be descomposed in 3 terms: reliability, resolution (negative contribution) and uncertainty. Reliability refers to how close the predicted probabilities are to the true probabilities (i.e. the lower the reliability, the lower the difference between prediction and observation and the better the score). Resolution relates with the difference between the predicted observation and the climatology (i.e. the higher the resolution, the greater the ability of the forecast to predict events different from the climatology). Uncertainty represents the inherent uncertainty of ocurring the event (i.e. the higher the uncertainty, the more difficult to correctly predict the event). + +In the case of the NAO index, we can define a NAO event always that the index is greater than 0. Therefore, we can convert the NAO index prediction of all ensemble members in to a NAO prediction probability computing the proportion of members with a positive NAO prediction. For comparison we do the same for the good scored 2-member ensemble of previous section. + + +```r + +#Defining NAO events +Lmember <- length(exp[1, , 1, 1, 1, 1]) +Lsdates <- length(startDates) + +#For observations +nao_event_obs <- rep(0, Lsdates) +nao_event_obs[which(nao_obs_n > 0)] <- 1 + +#For all members +nao_event_exp <- array(0, dim = c(Lmember, Lsdates)) +nao_event_exp[which(nao_exp_n > 0)] = 1 +nao_event_exp_prob <- apply(nao_event_exp, MARGIN = 2, mean) + +BS <- BrierScore(nao_event_obs, nao_event_exp_prob) + +BSscore <- BS$bs +BSrel <- BS$rel +BSres <- BS$res +BSunc <- BS$unc + +#For good members nly +nao_event_exp_good <- array(0, dim = c(length(igood), Lsdates)) +nao_event_exp_good[which(nao_exp_n[igood,] > 0)] = 1 +nao_event_exp_good_prob <- apply(nao_event_exp_good, MARGIN = 2, mean) + +BS_good <- BrierScore(nao_event_obs, nao_event_exp_good_prob) + +BSscore_good <- BS_good$bs +BSrel_good <- BS_good$rel +BSres_good <- BS_good$res +BSunc_good <- BS_good$unc + + +#Plotting NAO events and prediction probabilities +layout(matrix(c(1, 2), 1, 2, byrow = TRUE)) + +#For all ensemble members +plot(BS$obs - 0.5, type='p', lwd = 5, col = 'red', + xlab = 'NAO events', yaxt = 'n', ylab = 'NAO probabilities', mgp = c(3,1,0)) +grid(col = 'grey') +lines(BS$obs - 0.5, type = 'h', lwd = 5, col = 'red', yaxt = 'n') +lines(BS$pred - 0.5, type = 'h', lwd = 4, col = 'blue', yaxt = 'n') +lines(BS$pred - 0.5, type = 'p', lwd = 3, col = 'blue', yaxt = 'n') +axis(2, at = seq(-0.5, 0.5, 0.25), labels = seq(0, 1, 0.25), mgp = c(3,1,0)) +lines(rep(0, Lmember), lwd=2, col = 'black') +title('Predictions for all ensemble members') + +#For good ensemble members only +plot(BS_good$obs - 0.5, type = 'p', lwd = 5, col = 'red', + xlab = 'NAO events', yaxt = 'n', ylab = 'NAO probabilities', mgp = c(3,1,0)) +grid(col = 'grey') +lines(BS_good$obs - 0.5, type = 'h', lwd = 5, col = 'red', yaxt = 'n') +lines(BS_good$pred - 0.5, type = 'h', lwd = 4, col = 'blue', yaxt = 'n') +lines(BS_good$pred - 0.5, type = 'p', lwd = 3, col = 'blue', yaxt = 'n') +axis(2, at = seq(-0.5, 0.5, 0.25), labels = seq(0, 1, 0.25), mgp = c(3, 1, 0)) +lines(rep(0, Lmember), lwd = 2, col = 'black') +title('Predictions for good ensemble members') + +``` + + + +Following the analysis of the RMSSS, we compute the BS for the whole ensemble and for the ensemble with the best members. + +For the whole ensemble, the results are: +Total BS = 0.239 +Reliability = 0.021 +Resolution = 0.012 +Uncertainty = 0.248 + +For the ensemble of best members, the results are: +Total BS = 0.091 +Reliability = 0.0 +Resolution = 0.157 +Uncertainty = 0.248 + +As expected, the ensemble of best members presents a clearly better Brier Score (lower value). While the uncertainty is obviously the same for the two cases, since the observations to compare with are the same, the reliability and resolution scores are better for the second case. Specially the resolution scores much better in the 2-member ensemble due to the agreement of all the members in correctly detecting positive and negative NAO events. + -- GitLab From 02c2938fcb1f2376605d5ca3774cb45248256e1d Mon Sep 17 00:00:00 2001 From: jpena Date: Wed, 13 Mar 2019 16:34:58 +0100 Subject: [PATCH 03/48] Minor edit in the vignette --- vignettes/ScoringForecast.md | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index febd5994..e3284753 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -7,7 +7,7 @@ output: github_document This vignette illustrates several examples of how to score a seasonal forecast using different functions in s2dverification. -### 1- Load dependencies +### 1-Load dependencies This example requires the following system libraries: @@ -25,7 +25,7 @@ library(devtools) -### 2- Define the problem and loading the data with the corresponding parameters +### 2-Define the problem and loading the data with the corresponding parameters In this vignette we will quantify how skilled a seasonal forecast is. The model will be the EUROSIP multi-model seasonal forecasting system and our real truth will be observations represented by the ERAinterim reanalysis dataset. @@ -47,7 +47,7 @@ path_obs_eraI <- list(name = 'erainterim', '$VAR_NAME$_f6h/$VAR_NAME$_$YEAR$$MONTH$.nc')) ``` -Our case of study will be predicting the North Atlantic Oscillation index (**NAO**(https://en.wikipedia.org/wiki/North_Atlantic_oscillation)), usually defined as the difference in the sea level pressure anomaly between the permanent High pressure system over the Azores Island and the Low pressure system over Iceland. Changes in the NAO index have a direct impact on European season weather since it controls the intensity and pathways of the storms in the continent; Positive NAO values are related with stronger storms and thus wet winters in Central and Northern Europe and its Atlantic facade. Negative NAO values correspond to reduced storm activity and rainfall in Northern Europe but increased in the South and Mediterranean Sea. Especially during the months of November to April, the NAO is responsible for much of the variability of weather in the North Atlantic region, affecting wind speed and wind direction changes, changes in temperature and moisture distribution and the intensity, number and track of storms. +Our case of study will be predicting the North Atlantic Oscillation index ([**NAO**](https://en.wikipedia.org/wiki/North_Atlantic_oscillation)), usually defined as the difference in the sea level pressure anomaly between the permanent High pressure system over the Azores Island and the Low pressure system over Iceland. Changes in the NAO index have a direct impact on European season weather since it controls the intensity and pathways of the storms in the continent; Positive NAO values are related with stronger storms and thus wet winters in Central and Northern Europe and its Atlantic facade. Negative NAO values correspond to reduced storm activity and rainfall in Northern Europe but increased in the South and Mediterranean Sea. Especially during the months of November to April, the NAO is responsible for much of the variability of weather in the North Atlantic region, affecting wind speed and wind direction changes, changes in temperature and moisture distribution and the intensity, number and track of storms. For this vignette we will use the whole North Atlantic as geographical domain and we will select all forecasts starting in November for the 1980 - 2010 time period. The EUROSIP system provides 7-months long window forecast inluding 51 different members. @@ -76,7 +76,7 @@ exp <- data$mod ``` -### 3- NAO index, Forecast vs Observations +### 3-NAO index, Forecast vs Observations As a first step we will compare the predicted intensity of the NAO index for observations and for the forecast system. @@ -108,7 +108,7 @@ PlotBoxWhisker(nao_exp_n, nao_obs_n, toptitle = "NAO index, DJF", ytitle = "NAO The figure above does not represent a good agreement between observations (blue line) and forecast (whisker boxes) due to the large dispersion through the 51 model members. The NAO signal is too noisy within the model ensemble thus almost disappearing (close to 0). -###4 Quantifying the skillfulness of the prediction. The RMSSS +### 4-Quantifying the skillfulness of the prediction. The RMSSS Let's quantify how good or bad it is this prediction looking also for a better understanding of what is happening. To do so, we will use the Root Mean Square Error (RMSE), that it is just the squared and then rooted difference between the predicted and the true value. @@ -153,7 +153,7 @@ The above figure shows very different RMSSS for different members (left plot). M However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 45 and 47 are used. Now most marked NAO events are correctly predicted giving a RMSSS of 0.66 for this 2-member ensemble. -###4 Quantifying the skillfulness of the prediction. The Brier Score +### 5-Quantifying the skillfulness of the prediction. The Brier Score Another option to quantify the goodness of this prediction is using the BrierScore() function. The BS measures the accuracy of a probabilistic categorical prediction. BS scores perfect prediction when BS equals 0 and worst score corresponds to 1 value. @@ -229,16 +229,16 @@ title('Predictions for good ensemble members') Following the analysis of the RMSSS, we compute the BS for the whole ensemble and for the ensemble with the best members. For the whole ensemble, the results are: -Total BS = 0.239 -Reliability = 0.021 -Resolution = 0.012 -Uncertainty = 0.248 +Total BS = 0.239, +Reliability = 0.021, +Resolution = 0.012, +Uncertainty = 0.248. For the ensemble of best members, the results are: -Total BS = 0.091 -Reliability = 0.0 -Resolution = 0.157 -Uncertainty = 0.248 +Total BS = 0.091, +Reliability = 0.0, +Resolution = 0.157, +Uncertainty = 0.248. As expected, the ensemble of best members presents a clearly better Brier Score (lower value). While the uncertainty is obviously the same for the two cases, since the observations to compare with are the same, the reliability and resolution scores are better for the second case. Specially the resolution scores much better in the 2-member ensemble due to the agreement of all the members in correctly detecting positive and negative NAO events. -- GitLab From fa8d60f8975eb38290888b67c4122a1d012565ab Mon Sep 17 00:00:00 2001 From: jpena Date: Wed, 13 Mar 2019 16:53:51 +0100 Subject: [PATCH 04/48] Minor edits 2 --- vignettes/ScoringForecast.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index e3284753..53e1d5a7 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -57,7 +57,7 @@ lonNA <- c(-90, 40) latNA <- c(20, 80) #Selected time periods: -startDates <- paste(1990:2000, '1101', sep = '') +startDates <- paste(1980:1990, '1101', sep = '') Loading sea level pressure maps for the whole North Atlantic and for the specific period data <- Load(var = 'psl', -- GitLab From 0a9a167c53bfcf0fc47245d8dda07a1974fb8b18 Mon Sep 17 00:00:00 2001 From: jpena Date: Wed, 13 Mar 2019 17:29:00 +0100 Subject: [PATCH 05/48] Minor edits 3 --- vignettes/ScoringForecast.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index 53e1d5a7..d8fae202 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -80,7 +80,7 @@ exp <- data$mod As a first step we will compare the predicted intensity of the NAO index for observations and for the forecast system. -In s2dverification the NAO index is computed using a common alternative definition; The NAO is defined as the first mode of variability for the sea level pressure in the North Atlantic region [20N-80N, 80W-40E]. The NAO() function requires as input anomalies that are previously computed using Ano_CrossValid() function. +In s2dverification the NAO index is computed using a common alternative definition; The NAO is defined as the first mode of variability for the sea level pressure in the North Atlantic region [20N-80N, 80W-40E]. The `NAO()` function requires as input anomalies that are previously computed using `Ano_CrossValid()` function. ```r #Computing anomalies along sdates dimension @@ -112,7 +112,7 @@ The figure above does not represent a good agreement between observations (blue Let's quantify how good or bad it is this prediction looking also for a better understanding of what is happening. To do so, we will use the Root Mean Square Error (RMSE), that it is just the squared and then rooted difference between the predicted and the true value. -s2dverification includes the RMS() function to directly calculate the RMSE, however, in order to get a better understanding of the output values we will use the RMSSS() function (Root Mean Square Error Skill Score). The RMSSS equals the RMSE but it is normalized by a reference RMSE, usually asociated with the intrinsic variability of the system (for example the standard deviation of the climatology). In s2dverification the score is computed such the best RMSSS score would be 1 (RMSE equals 0), while if RMSSS equals 0, the RMSE equals the variability reference of the system (i.e. the standard deviation). RMSSS can also be negative, meaning RMSE is greater than the variability reference. +s2dverification includes the `RMS()` function to directly calculate the RMSE, however, in order to get a better understanding of the output values we will use the `RMSSS()` function (Root Mean Square Error Skill Score). The RMSSS equals the RMSE but it is normalized by a reference RMSE, usually asociated with the intrinsic variability of the system (for example the standard deviation of the climatology). In s2dverification the score is computed such the best RMSSS score would be 1 (RMSE equals 0), while if RMSSS equals 0, the RMSE equals the variability reference of the system (i.e. the standard deviation). RMSSS can also be negative, meaning RMSE is greater than the variability reference. ```r #Calculating a RMSSS for the ensemble of members average from the mean NAO timeseries of all members @@ -155,7 +155,7 @@ However, we can select the members that present a better RMSSS, i.e. those close ### 5-Quantifying the skillfulness of the prediction. The Brier Score -Another option to quantify the goodness of this prediction is using the BrierScore() function. The BS measures the accuracy of a probabilistic categorical prediction. BS scores perfect prediction when BS equals 0 and worst score corresponds to 1 value. +Another option to quantify the goodness of this prediction is using the `BrierScore()` function. The BS measures the accuracy of a probabilistic categorical prediction. BS scores perfect prediction when BS equals 0 and worst score corresponds to 1 value. Moreover, the BS can be descomposed in 3 terms: reliability, resolution (negative contribution) and uncertainty. Reliability refers to how close the predicted probabilities are to the true probabilities (i.e. the lower the reliability, the lower the difference between prediction and observation and the better the score). Resolution relates with the difference between the predicted observation and the climatology (i.e. the higher the resolution, the greater the ability of the forecast to predict events different from the climatology). Uncertainty represents the inherent uncertainty of ocurring the event (i.e. the higher the uncertainty, the more difficult to correctly predict the event). -- GitLab From 4e50ac719ddd7c5b5720ea924616cf98dfcb742e Mon Sep 17 00:00:00 2001 From: jpena Date: Thu, 14 Mar 2019 16:08:07 +0100 Subject: [PATCH 06/48] Format edits in figures --- vignettes/NAOindex_81to91.png | Bin 0 -> 50688 bytes vignettes/NAOpredictions.png | Bin 33207 -> 38181 bytes vignettes/RMSSSforNAOprediction.png | Bin 0 -> 84060 bytes vignettes/ScoringForecast.md | 104 ++++++++++++++++------------ 4 files changed, 58 insertions(+), 46 deletions(-) create mode 100644 vignettes/NAOindex_81to91.png create mode 100644 vignettes/RMSSSforNAOprediction.png diff --git a/vignettes/NAOindex_81to91.png b/vignettes/NAOindex_81to91.png new file mode 100644 index 0000000000000000000000000000000000000000..7ee1220690eab76395e8d4dcde3f11a1c4d76553 GIT binary patch literal 50688 zcmdSBc{G)O+djM#iJ}M<8A39I5HhQ_%tVIFna5Hx&yA+cGA4zPDaugBQYa~zGNqDv zE>Ri#9lP&+KhN)epS7N~-v8cruk~H|*0!(f`h3pwIFI8v&(97!rKLD*ya=TqWk8AFjo4{PVW0`;U?CoIu!l{0jNsA2_a&Q~muxaVr)5-yec^(sTd) zfw2Go;~(V2BWVz}2D=9md_eLqbB@ zl0~wddy4S}W@hHMX_E8(<};7N(|$8U+~IYyG?=*d!$@r{svn>+&xB zWvU{xEia=LHu7|(B91l@ecX5{&MF`?bYwi>`L>#K0f;G?mkgb zQICAP354*=Sk}9=XG+c<^Yrw5n{jF4{k@J3-F5-xXtrD2rF2`#@k4o8**;O5S3hS5 zva+%|J37?V)IQY(u&}bS($kB2fBQnqD!ot6SC3<7m#kJ^*vF3_cMF@F)_7lR&s3W2 zFHchllFw)xm*yn|OK-;BDYAZ>8>~K{p4hb}6|}yT)O)M2urOk`uz^`YUf#s?!+JIu zPZwN*u`w<#t|^LD#<3$iGcz-F3$>`OuI?kt7dP6ol)0422r;Ap2(B9X^*QJd{&QZq zhKFALHJ?-;_~qGUey8utYeO$W=0De4G#KFC$ET*kD~HQl9-PkoP;BG6hVb*ppLm9C#foAL1RB}^s7=Cv(aOMHTY z0l(%3BUvO33eSB1HguvwYa(>*)b za(Urv2$$Eyh}L|KHy%|IEL?cY?^k$|~ox zU~~F(=N1~~GiS~`sj8a$Twfo4Yd^NzbEbD_V#49<+4m)uFR)#!D=T((c53uzEG_px z-XOk76hyAjY~NnxIlJ#SYF)HeBDPq#ng0skQiLs_l+k z!MDp|cCBaMlsU9#mX&oiH;2?_=H&dG8d?Kw*?c-Gqb#rTgD z6R)|CbhWlNHVG*ye6K6-Q~wxm+Z{00U0^66Am!A>+a8xBY_T!(;-Pshzp?Gc+H$7X zL5*Y%-(QGNaeqMqp`6ASFzY147X53$wZ1fWy60ig&zTfGZC-wUX}6KBep5q3&xgMg zS4DpNZ(!#eos@{gtwdkDnwpxj^6~-)B@>fXq^F%W?(O9#r=C+p;>*gJ4gxt z)a`z6V_De|O3DxtcnJR)d&^SVdQ8K{W+ZsiX7gHK{h>i*G}5FsT_&kk)MsI2|A`wV zxgsJWt3PMCI4>)H86Q7rEXmFN^4YVy;W@U>t;r&pxmYK?Go6S?22!?5KYRD?d`Grw z>&1%~OC83exf@=*P^#2fSX|`J#A-%(4kobM9{jLm>Fm7PcjINt8bU?4(Wv~@D-|9~ zF;P)badAeILMvqE{HNMowW1zVdZpWQjUL;v%6QuF8zipn)G;@|la$nxtDTX28ekw| z-E_#L!lmivUSD5dm(nj^zI5hlKenxK{ajp7@P-5p!o0j&ckHP5oMrZF@9exZ@+!8Y zb|#f>nmk^je4`Nfm9MY0(70n0!D+|e%z81^UEtyFo;-{&NSC^Fa-k~ojab>afeOGr z5lGiyqjnRwTY7uHoSfOBUL3{ymmlu#@;m+(cpxkm6Tj z?~-O#Y4@G8*QC6^-E~lEAF?4Xt}IQrRWzQrf9de?Nhvp-n!~p*&t2G=uTD~1huOJj zc4pkZecN|w>VUDXzJ7O4Pi2FFy#Mc=yLP>}6V4+$(|JT(ysr~E_PE(<^DJ>yTUJhP zaBxr{&~kzMgDv+!5FLSVpTueIzB^@T_-CodqOX%tz(7wV_QnC}x?=StA*%u3a8FJ- z?{6GJLQ!(!qN4PIe6JT7+oy;&E-q_*{Bh3hnb&)7wJ=5U3JB~n>oh$SZRI}MalfGo zv0-a#J2Tm15mdBbLBk?(h@anT8&O#~f`U)_ebn>UU!+euIpt40Xss^EH*b9R=8byA z+f4*s!ryxOvac^CebnOAsc*y43I=8yjS;(JV`FC=-QCN2kE~qZwmUp=_bhShQ*HHx zpsGY5qrhn+dR;lI0#UvFz}X|O`7(@jo_23LgILj3(huA-gxe6TYG$BAglT@iI=#ng zJ+PHLKQE70oo;kDft--nMxuRPB3LZf_jfm4@<$3Gpbd4Nto6I=YiB83_(Je&?CUdH z{7@ILntx|WPfxGRYu>zFAoH;ogQ|&%iM#*Z-e(FYQLL|fGPB^w)?3-l}m#o51`5armJ6FJfEAZ%WfSD3BH zv6I!}VA#u-FL9S+z4)`S@p|p8*w|7O1^%g()zt_)*3DbC?=(5CX^Fcb_MFYTAdpQh ztou}-M##M8)x)^ncgMef|2|r;&MxntEbWp1HObv?ePyZCy1DoCxpT89)ATwoZqPI~ z?2>!i*0x(t-_S70{w7eG_U|T)=Vk;tb>_Uak3gkY@L3@CheUWv3!2xQS^RK=h9z)$ zGzm1Vl>h$y`)`2zmFLqZ8iA}T17+Jw3ygNQW79x$ zLc+Kxm}H%dBwF{DT8E58=S#_F{8|6?Iby?FGxbOqm8#46UZlHHd?o5**eAxc@GXS9 zi+}e>4#AXQLnTu>mo+jn(!$f}HSzwkpy$N<{Xfk-fT%!Cp_Le1+-v@m95?p}_?NIn z9T>n+qM!*9o@wV!4r7;<#mQQ~U&R{&g(B^ZE1|Cj2h+`>Wh5oNW_n9+X+F?3G-Q`> z+2hB|z_5rK(oRN2MTPAA{q@iF8#f+R0=*7aRnLL)fPnUO0t+LASf3{!ag1yJ1Cny* zh;XSD*<}tH8JR{n$MvvL#d=p|~cJAAE z=x3I#y}jX&Jb*+TKT`%Equ70>H+G%9JSWF)nGD&4-RAuhv}E6QM}z{Xn=0Z1jWzW3~rOV9CbnX*(c+bJf+0fms-|+0?;2;+#C((=gD|vMDK&@Y8uYs0E z((a75gPHuCWu>KbtU}32NtGVc1_}!G;?5tg-MGQT#3b57LqqdxcA$A}S3*L9M(Pn& z_xcAYRt5R_p7WmqK;32<3k)Bg?|YeTfB!-4J0G83vcEoU z``EbLsT};>x;ZNBXZVFzxB?!jtE+5H5bOOSWQUqqzm^Ls(>j^2 zUqG}MpkY1|YWCcBNZ>>9=o>uyGO;1y4^ZM-vFARw>BIXTW*a!n>g^4r<*#tF5W2dCtWp-t1jqIAYjhGz@RfnGfmw2=V+2eRaF)3zN0Z_ zK{bgJpK4c!o1-hw4R|h2v|qb+4SIn|(0Kb^(U&NuD7WsBbqhXSND1YedrHAMaFv6| z(~*%q%*+)|-7QT`O#=g~;P*C^kLCP-UjT)5QDTceSVcwz-5+aBdEu$b$iSd+M|K(Y zabY^8y}cbJI1D%hZ3tFuD690_!#y4gYo=&RWK9`TvKlK)TCoT~BBgr4Dd&|6X0a z#7aT>D@E3v;^I1xOVkPeM>^apZglMIAS*ND74NP7LZHFNkSEg`{FRrU2md)78;>L;|>@0|M{je>MPjl$k2 z)}cTI$GvH5t9Ki1!9G2u%|5>h5-R!G|0>D4Nnk@^I~C~U{J5yzy%F&UL3#|Cf zV9v9&|L+`~d_h!@tc5@4KR(%SSwy*m?U3n{5+E}eX4m`o4hYBc@+C-hSN!|Vts~5b zNly~IaO{enfNapl+I;;VJMCZdpa1mnqd4u8aEn}&Sw26;7NY8pgIWW)cF)rIegBHO zD@@BK`@2(Hp~$?}7*`7{vZ(d-Kv_j?wtgt<_Y+BJPXfe8w(2S>TRj_*ELfQsj*HqH zJJ&!$iP;YxNL~2y3?j$g*4FIFh3DPfJ>ij z&+2^r>(|(E?Yav?S4>aGQs26DD-t2~I_l7&LlBQQBOwO@Yd{HrW5s6GA9{PeKh^kT z1ZV-O!eX`!) zKtgd7hMhfsEkU)D1h<_`Ok-11{FX!Tf5iSU0paB?jcva)Gc=@QIRvIeNlBS=Gb6(S zr1W|tF5Za+$ms!GpF?+3x7e)Ni+s3gux1ZX=r10IAaK_WK;?5nm9-S_q-x6em;IHDY zpJc_w^`A#t(bE4)p5x+NS($!FxqZ+3Y}H+y($F^M=H|-{mX?;S`|g0-7MnhO^r(3M zu3hn{nunVq*J9N_>Kj*{XQlh@T_flB)4|cPv`0`-(D0$TCXs@I0yO!drN9t``}5~8 zVsL{W+S@IK#zsa^bLn*e*&hmxvWkn}B^v7Mo59k6w-Uk>L_)%LdhRG# zWr#ic*vpqMM?^&2xN)PpT8561iRliQtN$|mwREYi)YM+30GSeeAcM5}T(g}_3RC|)3r z%+CuO3?g{INwhQM84J8;`^9(ch(^Vnnw&%;P;A)(o)OOEy*LqDUF|php$N`pVNua; zLF1R(n{8bNtMrwWuBW8^g0Km%Af+avk?rUO#fs1DNCRogOEE`1QSso*axyCf%69f( zWlNoVggE=_gX)u#k{pIehTK!P>!JA6YDkc!couP|MJVgIIC@UqZ~M4C-*d#zgpn#@ zR@U%+^&}XVzy0Oo52>ni?DY2Yv$wI?4l0W}nptUHx;Q(%94_n&G~coGd8lkA8u{(%hgQN-B0t zM@I(_EaSU45w`0fxS}?32b=5!>>+qshQ+22a&vzHxuL<#s@x|5flRY%w&E_m7jU`O z@5mYwW4CM|hc*FeS6|gcXq;kJi8;z6T^A*F!Oczd$PsYoo1vk|`op54R@**5y%aLZ za?#yAfqUH2Zk6{Ff-&W4i*ABex-_n#%CXbN&Mq}MSuZOLMj*-Q(AW2X1hV=ZzOlZV zA?p(t+WXqr3M-Vn+3|D3714rkyVV}OeF@^Bb$|_rHEz2H7F4paGcQN zCr;pDp878@WCU%b%*t&Hg|OcMy@8no?!Vw&WBVqNV&GIym2W!5%cOn?rQK*i#{b zoSkW;brKuvS%aHT`pA_RI}}iy?BR}QT00||;c)q{{yaDKhf({E?BvI%k0)q14OV;o znX8`Xp2_X*=$HauQ&S7SX@Q$nOus@Nrhf0~>Mp5-vm<;TuwtEjwhZ>QS2H75Tngf=A&^UEVuXP=YV$!!nr z=aY~~B!zSsFOU{hM9lu(q0b(&F1;lNMaCjmUEv^k;U|U8xCnK7y*EQ z=;sHk%3IArs}xzU?e{dbYVOfYK74F(#n2+a*2-!DR&LP7@pu)Ep4^WitFUfv-XLGJYr(;Qt!LFi%JO9U-yaqQR9bl-nxA|cP7O)rqC#b zLgR}UzvIK!0S-M!vELbiE2{lDoA?(IO$$Ei-rm3O9=pmNqyiUxHBH~xI5i=Gfq~(O zb<_47*A&%6G#Oe9^>lPf%gSsLFP#At0Sif1Jw6BJ%kf$8rmI_MR=!3E^E;PiXJ0!< zvb?aVYU=9SsHkFPU62r?SINV~CMPH9=;(+e6BE2YV~g_hr$9Zig&IUk+I?q}URX8X z3=>k<-{$D#BuWW~*hPqY3KhEbn7DyM?~{we2#m6_vSij6c|Zb*d>{_sM-j7&i#K3a z!hm=(B~IAHZ8*e9Q&CZ&D|fAJJVMZ^1C}0aN|6VKIy!V=Yj$Clo{U_akUroiP)z`n z?{JM<=R?!d24F7mua#xqy&HTkp?SF6^>ZMY4dXillKZWIT0e$*2f|KthYiYaVA@+B z^aloDGTDsp78LrpBi}*l#@jM>#g>*{gjUTLI`kqtV(>R?rUI~z(QP$Bf9^=-9S+Dp z4myY|3Vqetc{;8NPeGy$C)w#@A3y#9as;EDS3irOAOD(@CN(wHWp}9}hc}#QQePp8 z^^H4?2i$|uufxLvrbgUCLd8h(0|yQ~efktuEA;lB!)FO}wE?R?;Rix)L8<_9?3crl zQsrx%OxTac7a09&mWp}vzh+db@UGY0QL-UALVg8ocV7|FSaHt`&{ z>V2)pn4_(~m4?RFZl`9tboo>q+2ykkQ|ZzkR*$%3WU2)Wi-|-chYT4-XJ;p@Zu&K^ zW3pq0Sq&b!cAT4=B{%zkkE#uJv7NdH+6U{b+Eg zhK7b6B)nZ~GPbB?;Q-hculORzMJ{>yJAH@p@MznZ4&{|-oH?`Sans=C&6LTJr{3b# z+KNsWCl}YQUAqdBji13@wx{hqu)uJ2xhyRdf@kIDtVx}szrXCIQ$x4I`46v-fN6e* zYAdW7Sr~njbjav9@#M*qDE|xJzMcAJcZzTmTS{_05Gjmi;uk;H1x!s%>F;>q++X%U zkwZmI?NLR=hpsMD*tw7fo^u~3XJ_AT9Ig*s_w6rpB+1QOZ9_C}dU|$HQSHUXm;|?t zEBG#krZ+>K5i+imhq1W)YER%h&7*zC)G`Iuswh>*^Q)A&AaW!>GgB1JAqxwO%Zeoz zh8jSk^uFhSNv{I(_H#lg`}wW5-N??(Jy@W`+&hL6B96o@tp>`$-s0hOcAiFuB&b5k zz{O<-ra_nk@JQcY2FParhzl);T?e%;l(RE*9f&*UqjwKQWucw{VT3*>@d)Y%poA0}%q;7Aumn&2(Q25MA&_$=)*@Ejr8>O`5-cJKO;Yu;T8=79!a&#+PV|F4zjBN8HGXwQ}C}wfN-Iz zzF{Lndk(Tp#%rzy`u9_p{Ho3Dc7!8Xm#&feKBT));)Xe8Fo4=ZN_QXni3 znAb`!sN?#n#*(RE0^!^}Je}Ow8Rh`m7DCIKpE-j2@6-4zkb@6Xs(ufTh=|@Nb)1O& zg@>D8RZ?E=fj8a(pNfy)#m4q-PW$WRB&v@zZWG!#Au-XsKCpIe-_>{NGVp{m3X}%C zWk11)HZ?QDW%tt2J?9a;i6RU5QdxQim=&YU&~(J7rCf!VWN6mW*SGhdnTyZ{(a+&b zxW*wj^d-KudG_b!<#~I1A8rPL++Azy>KX((`R&^`kfI9gEodonA882A`|amXdE60X z#uKxSD%E%%tR(O}7eNL#bK}NIRGOw}c2Xz*p>erdzxXKbw|O6F_om`p{+R;d5M(?? z^WprJmfP|Hz9=COPNtM(goOBbYdgEd^z^qL93CwHY_Xtm*%Pn%J7qHVA9j-Zo}|}* zj+f-g!|J#d4&y|9H4pfJjzo>$FD~c1<&OIfpf>Q7sVHdZc>YcZByDNzIChr9{qi8v?M-oZwe8^-q z%AAFy{8$%|);2Cy31oN-lmr_gnb#jbu3^hyv|*3)pdTMRm;~(G{%AS20f4yV=Jtr& zbE=DvbE-2pdPM)xqeq!pSx*D+5eU@RLB191&=|7Pk#MMqL=`3#Ig?_8UZHnHWCW? zg<^F4_;G$0!N8p(NtAUk@Z=??at54)Y!a^`=?vYcREL!igNUm#IU7Iuv3?0^?6^`WCf+G}p#=`rv-Xs@)R7dh!@ z*yYzi#Gt*-{<_L^KQ~v>YtEF@si!y{#4JlWI#k8Nq8_#e0t$OgGRW|5?CHLpI~9qz zM=%-lr*5NOp92i*%tW-bv`*aEzMs?8bspUvZy%okG=7MSZzVsI%o>m#(g(ZL$so8r zXh@AC<_8yIx1b~T)BFA1V=jqq3nQwW^jpb+{dIsPR1TOAr-rNnYl8j6Wgni>(o(c+ z;mFN2ctM*D02WA{Z@%A|v*DIKF=wTddQWq4adF0ZYQZE87CnYUJjIn^mVL~^B0~<< z)x6{^wtEMV*B9newrYHflm5ks?`zAKR$SQ{y;1To0@2vdn3bPz+{g!!5O9O!EiN<; zQ~l9SL*lx+e#UQMs09QaMJ_ot)nFC#`eplr^) zC6RQ&UgWb1k4Xe=Bu_0e;zN<+*P3@ZH@RsvRsXF%4l*Y&tnQilSL=)fnE< z(Lt&xLPA;#k+$94-B9J8e>MWJ+%Q<#gVscZh1;5%#?YWbioHS8fIrQP{OtMj#aUU_ z7~&wAujQ%kRJ!NS&tVJ#ldLCVU%fo%UcldpCGJ5zun^@@ZN{Ks;aJz zFq`>MG=ST06oOD~A#&b3`KAzNr z1_?W7V^fB;gC+utgJFKltf9Cc4%Ev-TWDIEff5)Sn~E0S^F&3LA#MBbRT^ zY~|;6yy8C8a2*|ZI+CM;V%veys<9Q&IORxY4^RUXc}U~uZEf1-u_zXLpj#fJA>x4s zR#usMqwt(yg}*X^nuPhuEgS?ehf}k6?_SLed9y&BW9$1JuavodmLJ2E+GZC|A`!(0 z{Sr4wQuebt9L7ub3hlS6q_)4JG&K59csp0EyRw0X`Th^)z+IwQB-3M+q?8qbAc zjZdFG)z#IRHj@!f`KhLIOioNNFf!_k+&Twtg{lb45!M5CspMuuK{rX3!K|isMaJFF z&gMPJhD7Cm2~vw`tB?>b^m_8HWK-z^IX(mLM_$LbP$#FQ;hFr;~P%=5INJ2wFK~^z44HcDFFcDgk(A7fId9Sp)gRX8ItV9O~hwCPIIBa$sjBZpK zE}vxp7JO?&t%^CC^vdqf&GXjrcW4H?06RQ5?s9W$#+;1W*9X|gCFFuO{2>;g>CLJ= zJ@C48X_ugc&8rv~d!#u+Sh9%mRA35-@4g1yX&#-KnHgsTrH{uO5JN;=>-dk+!S^5< zKyi+F1H~Kooo0`%cV%%QY)urqf;?zhZ|@mSUpVNfN-%31>A5-kt2_kIsfAPr7?ipm zLdnjHrh!ENM;@TL~?S z9pqu5=%IQbBET&|u3giss1YYw)99kZiU7<$kjA{tNH(Spq@+@&d8aC%94@e4x#{Ta zykoEEwP{{OX%JUT!iMPSLmdNAAN zWQBw%my>NK#6-eM$_ww{rU4z&#fV0_0vgaAYp1B01}Xj?io6d!8c)z!&6+E z?4-O(p~yp;f*^G5eifz2*ZA_~A&a_?pFXis(Z9Nu&C-bQ;EhjCP6mmA^GRx3b}>9& zs3!Xm6yi%pBG6sRBpZ{K7Fy*<&*fnM@7}UM1qi|1q}Cc?Dhq9j2IY54!4Dt0f;D0B zdoF`7k_L3)(kDho@95bNkL@a(J+j4jKNr{4zNYkPMU3=`|Lu1!9d~hY@%Q)l_CAVV zBy>6Lv7$WQ*w_eUu-P)IK7q0Upn=Fws8NGpfP57SaK}eu2soIW>Kdj}OI`XzeJZVN zZI?z~@A9c6h5J%SR21zh|C-5pU9EytwC&scCDIczR@Hq>RTDw~qk0XQ6>R zfg>H^1&dq7TwYwf{K=DE44^IWW8&5G;>B3`BZTYl(%!sz<2+Cyh{xZDUW{3te_unx zm1#vqRdjgw!vui*P&eOr70ZQo+4Ml=Jfe7XHzPss1h5rSfsDDzcPZbBIgXN)8XcXT z!_qrrgm>>wLi^9w&JH8A7g@Kx(t&UBgmzN`B`6WW)*4y}Ul#>-QVuB29h<2)+MNA1|LI`A^)Y1H_8F*PdJeJ@(sOu{k8dhd!kF+WL zalusB?acgh2-lG9dmBjO#HXgurl7S=dhK82*wiHqVWT^HB@RZy?b|Na)?CZ43J_NB zl0{y$wB#FaA`7kotW8f$Kp|d0xF{CEkG>mdgkfxdf6QFM#mFvtg#MRf0U_8lB{ek% zbke0a2Aghk6P+iMib4oqIAvd?nNDp{iMgBVEz7pbI28jPiB6^A!UFuuDu{kCVX!kk zOGdV6NvoHkPD+%7h3hk06Ld8+THzOAI5?K$vIfVoD^70i?x5afm6ej%A$ON^q}KuA zAZ!NU=ctqv=+!b`Bkrbi)5-}g4j6n27zG1%fOWAI&*O4hS@ zj+q&5;rYo)RU)9jSm9D%iYnh8PLff!M2{WAbQy6`J7y>>A%@yr`cEgrlBD-VWRMM=pQ>6ocqTgi_dI|ko2 z&d}%kS0$(oxR?hXLhX*u&wnm+JUzL&(Bd!Tq4{zcO7!4CWk{pxGYmwGtAzq3pU{$z zylHG41-QTi^6+BxLk^<=T~_3B-GQ!+vY<>-VHF)Xw&)u&h$qYgQ+5_N`$byx44$RFQm6oo0@&t+U$`Ixzv_Bqk zP%{P$7%y&N1>`ueM##8qB7{9K#zK$71Z`YMD-A8J#F`d3+_-$DRU#_40qYnLsFI0f zB&B)&jbA~RRn3gfZpFL?O=kPfE)ugYVO-UOngg@D}JCDywA>e~c! zRaL50M#7Y|jq=?DD=Vu+VT<#wuF>RFHe~bX@1+9C&_hFB!x146y6JZ9LQCg1;25_Q z6X7e)eEVP7DyMQvbIX=3c=ITpJcb4{_M8}38j)EfJp~G7tRE z+|S9uafM5)q4cC3xDJ*fpHY8d=s2E*4~FDnZf@e&uTDfNq8%UKxzoCfVIM<3sp-O? zEYv!vGNH7|c6507g~wKcn3wvK%@$uyH9hy{Pu$a9;fer=(;`GsRs8L4u}B~s z1%fttY^BEN){8)jJQB=mg3iwvp0YxM-MMpT$#Q8tc~6ylSZHYTuAS$2GAqtaeh_qX zqi58J+C5g5WiOwH({xHnZ&Zs1+wl?NyPOkY_8Rk~|#QQE~=4wk(>)hEwyU)SZ z)k072CDtRWpg^7I+p3~=${be)9eLM=vqd`_0b=_zM@DRlH|yjDuCJh2y0KnAz6=Cd zUak#XPn}jw_B!)z>e=N z66V|n9fzhSEiA@=b>QtMC6T76M4McO4Rkpt0|Q9ai9jej&ngmRbvylm`tD7)Sl-Bc z38hP&h-BGCH#*uLO1C)Ry6+{GXm(MN9QgjqVSkW?>?`C{iqyD2%-lZbQBmU&h`?zN zw$&9~c-gQ%D?xHgt*%mbMzVBOiPO<#Xg{{^yt((~xPXKKwmwFzrfqXf1B5URxBw#? zur@!Sl%RHC8er@9t#8PPJZx*av1L04Co_C|w02sO%1ZAIRE7=Gd#-viOWbt3#K^>_ z82LX*h$1yqB4#N_dr2Zl7#YCMqK2D?hdaDs8Y<0T50F?E7rFOJg;~Me+jocz(;sp{ zLiL1AHcfxcgaEYEuxcFE{_+YO92gz_7sD{cj_z$tE@_E_1j^T;js zA1)1B8}Po`iqgyjzaBMPT1Ms)>sH03bXnEbEpeKur^MsdFAh(%Fp5g>aPsqKzK(Z% zPR1_~e=#QfUQW(Q;*yhUCBS0~B_%cwv8GrzHRMfcXlRIP2+t6o^(v{NLL#~ur{|Co z2eO+yu!pye>dn0mJ2N>tZ;RfxZ5!$mhQ>f2An@RnIkEmPr7 z_Q}W*rZRu>|AJ09O$6Ai(?@8H2)OhUM^QoI@jYk`v)nW8= zvY(eX6tvOw2^gf}mST(CppE^U9bMT*k2k#JL`B^IB!DE4);QT*TlJwwG#Z94ORW=< zRV*#L@^8szCMLlu1+@w`MXTWNpQIswBcqF~*WL1!<=zp*$LC2e3j<|Jo##Om6jVES zw0YXaYYRjY%}mm??ry2d#|6`TsW8>q$x%UW7^+Y=@d&=Ng6TAmgQN zF0zJx#fn2TE#q|F7wMhXQ7%lXJq2&9zuAn%%d?R8zso9ft+}pl!Rfx^=_>Eox>YT2 z-yb|nQ%c$yEd@_gS&m+~TU#4|8G@e6yivu)LUfZNn>mm9Jbm)SeeR=_fD}#nO_5=t3kwb}L;p~~vj6abP1Ghd zj)t9r@Rt|=C1^aFso(hhO=vux*9E-Xe$t`+N>lX1CmR2at489|-iHUD9D^-H_kH<@ zpTyhbV;wG!!8r-xSO0fL7rW_lu!PG_wzhP2X69Roq=u+id#$x|YtxPMpL5vcuH_C? zc9vK+#0CdWhTXUa!QKPnKKtqn}8SR;p0NMf^F?R8jxyb9Tv(gnKRkRI9L@% zrF3%R;lNY_#mba`nyQZbo>LkB2te2Vvao*%KuU6QOe%m7^HPyYck5xX?GmSbTW7RK zlQ%OnaLfMwY0}X>$`QPUX5wMJ!)to06%KX<+#|1O+*OskpPYJ2_QO(mW&V!}+*~Rq z`D*K@!QlGjjC=3|0k*j6Ad0RvH7oympe5&@)C!e+HVQixM&b@j3%C^{o_+TgC<)Q zjJ^@|9wxfuM3*yo7Gwa4Zx;N+K+7vD(a2OFSt#(8et65my(2}AlPMfY4lgRImot11 zGmrlm3&^(-RkOUi14-Jj~-{O{&M_%Av}tQb7jd;P4j-O-vb@4<#MB2{}P}} zAr)n13EyHb$$goghL!B%;P48ib$DdN{l}PQaTejJjQhkXoSqW-Vaf7}bS9AxfDEdR znN(;u75jBx%Rj9pmR+U8_S6^+h8Zt`LwiS#=oRafyYQJ-T%LS!H1Kv@9Pgo7!a8UN=(z?HoQj~4ahn)C>uiLb}SHA7<>(kLoATz$P zLXxx{9ipLT#Rz8pzZ3&i0<4$paxg%jI!*Gl<$gMyXtu809X;&{S@~)OhMhlWvx~Ke zi(@oPv+Bh?eNVB7f4>*NZLa!?FTaEY=>cSAZ~x;psfP686T3?e^vzXmEk6dZg_%_1 zQ0QjOb01dSB~}&j(eciTa}C23+m6!QSL@7)P1zf{_k@&GLWVY%vaTY*ve6ic));@} zn5c-z155Sa@6BGDR(rmE{dy7_eFrV=m^4#N7Rhv*9q8%qzBR3w@3`ve`{zz*o|%l> zrD5q*ekqyGTE8PMdm5YL6&2N!I^HCec?dW3^X5Ouz9!+y#MYLfT^^M3 zS-9@5Nu|T0LzVBXP={aV)l}~8I*8+$bDGVKjo`ALlO0NPf}3~^{x8W*ym;m6)$!Jp zUChkVRxh^}TkGt^=oHLV6H?}f9>0G5I(#{B(+>r54;fB$kWYffL3v}Ux*hIvvH)mp zu_3!w0_p57yo8qXd`I^Xc;~-a`hLHH`ODC{jnrue?#?nkvl^94W2aQM(zU-$>nhj{ z&beUzzyW;)h;cX!7`j?G_uvDj>JD(?q%?qb+3n&*pPw^Epm*y=jq?8q^sth{#}M@~ zF<&Mp`@(+=t|vrgQ^i4)rKRD_6dF+T=H1>J(DU0;dLd&if9nBM$J;bzTib-&8ghOZ2s+}Pw~qxQPB=<`8Y8RgsxkiZ zI8tD)uA#Apk*~NA1WlKAadZXX?}wB`Z7eg0kgJ79E$v z@X1uUw1K+`;T07>ag8TYnRPN4d`S_rXLx_g#wOb|!_~@)ls}FtwK_8x6@IwdOgRTmb=m{68l<$8lV!+*0D*m*?)oTWHv|gw0Pm^1V$t5zXE? zUmwq0@q3Hya~A>0aFx^@BH8ikdPMGeAAdTcb16Mzuv_d(TOnp3;Meu0s1TM~5D*ZO zQ{67FFs+X%!I5V6ph6RY00m!e({V-3NPqwAVtD;$Q$qCQBqSEw6h_8Qdd<_*o%^iS zmeCo@m0j@0!{!ua%75F7p+`@1+80~rRY;OhQq(YgM+4X<>~UuY2i_kJ1ScsmvBxVF zD(`Si4|7BC3yq35$G*$gf9Zc`dgxeAj;Zo#F&-ZGb!p9H4%u2ziXc_=5|b5ms=cJ!nW=ntn~JoS;igPuL47)-QJuMZ5W zxINJdco;i;;?by1-?4>#O3exur^CAP+rRu6dn*&PQBz|A7p?IM#kP@tB2-gIi-(d< z9%~H8G4Z{7_P|z6fJ%N@8>C(BNfjLsfaj*=(clmhbMwl*xgDY+Y!{#WokYQ`)OtEA z`CXWPzI80&(Kj3=`OD|8Z{Md7xQ{B%Y9!_p&D5pHeGgB64zV#&`?G2(bf7z|tmmd~ zRmWypF1RY8730p zhezki`61z$cGIPq7&bW_OsG`3s)e6lk(k`NYf0O@5T(%*;}rT)rgj5w4+;|ECqT z^%cMDUflyu4IbOO4I*wx^6lo~t5Va_(A6_&cRQW0*MB{eb<)_P>ilt6%2PxMaUZ3k zlkMLHy0qiN8Q3L)TmPz?zw+j<_ZJj|Z!(!59}nr~bILWV<`s(%Ma-UzE*?9P9Pr6$ z`Mhf+%jq+F1dU0a2Hjw_@?bUo*JHW~sTg5vV}p}BI0LZyp?oOUC;L)}uQ}(q`p7;_ zGk*2({?luQi*?;4^8c zCnTcjgFtI`f^@0+%=cl)L1I@KU%(HVo_5}rt_NK?G?A?8eSQC~?i5?xSeX>dUmfP7 z7fX^*xJNtSC{4Gld&)1IUCqPAPm*wI4~eW|4>23G0$2X()vIVAj5zc?vPEe|UvyMD zrfuNcpNy?-cQnggicqsWbE>@@dk=?4AG{o#D1>A4@NJlne32FC(FG@XoBG;SNs@3N#E0SkVRMz+FO9dD zK0WR=x06oXiTK#=B5Pzrz;}wlDp=wTomVMe_oZa7%-)2_9u<|S>_Qj~_^p^E)P9Ac z?BXza=51?+(i>};d1(%w*=qL(d7Wt2eXljuaa~>Q3J`nCdP2D%iIpx^`qsW&ov{QB zB75F<73o;BklmXes9m^F5*GFvgPbHE9R|J&B>0}6!aF9=0=L}>3ZE>SvYkeX<~o;V zT1R8V5qsL}*AQ7Xsz zn{KpGH;PX3x$WU0ra2M8&cww&fMxjEjH$=}y$Xdz&`P zTS!X&`qNuI|BW|aJZku}=H}xQtj8E)cxojll@8zAtyD!F_g*ibVNxl^DNl`xqeI4Y z=OhRDajIG`vU>;ib7#-3TQilM()Il5;-e6~oaLmKkmGTPy#lqUgmC{ z*a+~PxBGS8bN1_^qxp}tx#ZjX=AO+>%@j8T?r89c)Vs1Pu*~(j8rKblyn&Fg(-TG0 zd#_WF$9s?kD2%u(Gv&Rrk}|IBPEOv_eQYL%LFM??G|7vZlaYpx?MB`teeCPV(cFfa zB%Z#fT@wRIWE2hqiQg_9Kkm?rR{g{WO^-uEhp$|^xcZv_->!mTqRd#6g)xf_FPOdm9{b%$Mh8&9Sh zN_+)(T|?t0&T8nN|70_%+u3`lHbP-#A`2b%B!2yt?U(pEo{0GU>d2#$bfssBsFWOk zC*nwN5G0UNqW^2I_E7k{I{~M4^s=^e7o2|j=s|o-wrbDNgX^7SC-(S+X9_q_d5fJG zP<*{0LR?V#GWYsqku+IO=Lu@=Sbtp(s@Sa<5xp55ExBiV{?#+@K!4Cl_>`;7K0Ucu ziy=SFH1nV1gQYLTcyjo^%~dBE7Nu4@-ST<&$nV$r9~z6yMvrVJ2dgUs2ZhxVN8ay; zmHCDJ3`9rrsYuQhBL!Gpl#1V@y7H!`(_kLJ7Rb(xvqt z94~h=SX>Z0YpN3BT;rAO*8W7?_U(Rthjo@~G-1!n4+zknT5gOjKk`(m*z}`rvRdyZ zzL;w&*U*Bt@E}*m+#Tu5O)xz65o)p9NCV%>u~Zr8JZTvtQFSqE{P*`X{rhTHTJTj! z`Fg7L%a=yZ_6SLP+AO;TpBu>2y-ve&p~kTEFitSGp^Fpu*k=%K`V-wnwe#n51eC;` zPCcNXn^ToftJ9@>8pkyHyX(ZW8B{pK%53c(^|sDA{@F0@ zmb(k*=b2;-jpx_eTSpW(P-TenM}XcM?m1qd^3#PWDl)*Pe%rRkt1d zsy|LowZN*dev;*!>}_`W5%+BdWS1sHL)(jaH%gbrGlD)87z)dq|4KR?$t>=kPCDF4 z;`+t8CC7C+!npHwvQFY#6zYC|-PV2V+SL`Zg?KCe!SWqJHpgXL?1V!FFLdjUi|(2D zobl^(uC+2Jm(TB*m8BH1ke{=Hw-kFhWQ4*u?u$~6y}!SC+hy@1tj|vgJpCQx|Ff3a zf6oi^GWJEgrc)sPWff1;ipR|w+|FRS9+8?jWV;=8qLF8Q6hMkDz{hfw%Dzh24$1=E}@uv z%HUcaEZ_euZSUk(eU_#h_?8_Uw9r)lB^7wP<(5w$!>L~3tk{eoTJ_kkYEk>joEpm< z$;sEUq!H_>;(H}-npJx*T;o#SBN-*_F;g$yk$u2L{B6fBvX5T|#|p!nG(C8~?+DU) zK;@jJvWa1Mgo$~ra{BI$y8g2w=U$Y&Wf{K47(+tXP}FT8T-}0XaYJVQzAWmPD|vS` zPO~;O9hDLD5q)eoG(~-3nu$H&Wq*0THI-btyk;abj*v=7OV59f&Q((?GTzSqZf;OE zur-Qx?c3(=f_TyU`Pux8BWv^iQyTk9GWZ8wevi?~xQA!naq(Ak`VvsQ5gje|?RWi- z)zI3;qg2<1he8%J=~TH9sZ|h1@DIBAuGN*L=@!~2^^UJN{pn0>l-jDx(sLOl(@8>k{}I@5tqFX=&+{JBe74`~Cd(TO?@X_4|8z|A(@- z0Lr?J{yr%w0RbuL6i`Z9KuWqLBn0UOX#}MdknV12L6k<26eOifxx*LALwpYLaxP$C6?y`XcujK7yzNuI7gL(Iyb+!9WU^HC|>Ox?rAVq87Mv@Jov5aQv%UM7IxkbbD z>Kq1VOUS9Hk|tH>hq0nIL*K=X?tI0cojgWJTfceS9+>|sR$2Q5Lr(u-`Y73{H9A^P zz`=)Vm906qYkaCgOO<`IynLzurfpfwQr@>CD0Y`E@U?m+ zi7;D&=ENP=Xeq*57#Pi`8WZIJb@4f#v@F)RY-0QUX*?pI^;6$2eLwr^Xdf6u zv!RjWPNjvXr^sA$BZogbBJTN>ah?Bb`z-)zAX!|B>v~nqVHiSK?~dza)0q4wsdm3; zU{+q4#;Y3d)bH+oR;3yDyxCH=J7YHwvzk!G`nP1enHRFl#oKQcHV=vH`YM#YmLy9y z_3;?-)@#`2l-*kVocIkIC!$-{NtX24-7n>Lbo4Do+!&u8DLp`VZmmAhhP4m%8t?N_ z5r?(8mUijRX2IRvT_7R6g3&gg!ZHKZOfDFnp6QO^pt*u@gGBcaS(B5g%qJ|3kAjX@ z-)*C)C*K@RAU7_W9jJ1_s2GCY<4e77_`2({pHrCC$&#FPWPeLNN)S;&g*DUTUD*qg z5?+%Dna1nzn~*)tAZH>O9E0S_REw#gyMLxrJVR1{V9bjZ;r1468OdCE*E7=1DPS`i zi$N*L=-sBA0}PKsA}tAJBf(jeg zB0nBJ_LS`L`|K9RCidP*&PSG{xcfp^r%u!bv!5{@oeTRYY~w`eWCd;g?smyyv$Z;B zZB7%;Ewco7@GTEII^rY~dsltseg$VLeA6BbZXBr0KYDce#dHacnetWr+%DI!WML>q zbEh3yN7+4(&LxwdOyL|HRb)MwG+uFKgH|LJg^e7?&&Ja3F|!tUTeVCiw%^@|Bi{IE zO5H~0p85Wl6|M(QE)prB2SvDC#Un4V{j)o5Uwf(B7Z{b6lxDPhsd`yjNNHee=X8n6 zNd^m~fR6_qtpfH_c|w@YSFqcVI5_SYhinQSbD~BS4sQ`jQYbf|)4>)Xd1*W(La#vi*Ox{o~^uK#Zo*I#6cKb^Zs;C03o?;jy^+N3D&@i zakq{4m4|opbt&T?K59&U6DetsoI8s|5;4vDhGcD<^83$Us&}sfW51GW{BmC5d|)km z;N;1JE3l9dv}IHI_!c0)zj?6iDf(DA229m8t>rIKum}PNvdPbjE?eES}T5oE7lv6yT!sQ z+dbRZltSX>)sx%P=nbLHHsnv19noikcLz?J=jraVeMG(emRp(PrseNym3rE`o6UGh zo$t*x%zPB##j25>wS?iS%Au|-jnjA8jNy1p*<>0(Ka-Tib) zBiIF7<8g_+*V~ZGG;6D$gE6m#viCX0*E3UE|Zf^AUaunUgtp6u_ zf&DE!gB5={bv{cinx44iUsT{Huxox&^QgTy9#xb8$!X|iWO9kcF#FnBv$cXe{MYO@ zF1E`!&f;}PM)2{ea<;%iSQLahbci!Wr#j?rNEj*v(u7Q!g#gH%CuO5JYcNs~oM@prSk%C@1<`;TOa0FTTgL0soMnI`u<8jwpvDRJno+zymX z`52d8Wx?ps-@lI9EMEGK^@dGE+ zm%lyso_yVKA~9CY6R&syol4M8QmnzK4byRUR>ak-fT+z=NO%Cp-S8d}7;AC()0<7t z6IF1OfV)S0F@k|nY4px|=3A-HI%#)oTAEMQUT?#k(qjp%h5L2FWsb;Hg@g5i{5N-E z0%z~^%QPtcl$ynK6n_R*ZhiwndB4=bLbg9}csg zPQvt1$)C-mrqhDx zN77qmllwD|J)b6EIthL=-+#V|iXP6hF&<0&J#z@da7U)8&WkUepxc3#V>|8AyXFPN zE*Qn)560wUdudvimZ(L&SZ)ocd1JoSvXrZ+S6kuB3Jo?|QyQr?6jQuK*u5a-_4bmy z+=mkN{-HAOt9?QCoLL!>Ew1!+ir8T7sk*q4LSO$AdSosmyI)K4UTG;9p>ZLS6@PL=jo0%(wnT&xQIQc9rC?d=3fs|zby(h4zSpz z63My0BA9q({|o>*v^udouz?L$w#2}h74bld7U1kl)qM~xS925)ZYs{a=KCwJj~9(P z&iIzb$7z^G|D<9W@%}x;y3%0_XH>HJg8Zm^p_H2U6dCpM)cO?Z=?VH>7O)L)<9iuB{<;YhIt42EYII+Oh6B75_uAs)HoNZE66`#E zSc@g%6P`p$M_0_F`)%WhtP{z8CQ@2s!@OL>w_X2B{TlKE47CoEb>bR1gr(rqYnnOY z7g8hWWa70iSOL-i-WZXR-5T;9d@ z?$NYdikG2hbL^uC1?B71pqIg?wOr62*>0)3(&1;#!pV|JK zM7Xp}8oUg;lA)g=1rjH_c@?u18)&tJBVk1h-54V{A3SL9f3O~5(F}g<5*($Sp&BR~ z^=B*$n^^F`>z>m)6uW7eCNI>*%wa2f>qxC4?oK15iSG&TP_;VC)n6{BIQ&E!HTvzW zSBG!Ah$cF)7ogv|9@S;FSb3X*9^rRyUhZSaMxoT!FYkO2ir@+w6$y9=^s`dEF;_;G z;I9U(hM89v3HK}6atXx5u!&8kcr~2fX8Pl{GUHk%-xv3? zr-BKpY|P1D@AXU6g>2Wgh@+r(z88+pQhZUAMQ#4g#;t9XYK%0?!;^yT<a{ji5{cHaq$KAd_)pC@jwe1nPZuxuVG{|fsqspbIyNOZ-eBgFvX=>u! zQ|V4i+8D8(P_t$;evXd1@V%|)fAs=1U-#6xprIdZ-&0Oo+Jn47v1yU}8TY@fyA)~Y za%~w7pX!t9u@CcB1n&6YFfW@Q;O47@pzW!AUXI*uJ^wE!!m-?G%8OEEBi-axJc8+6 zTR+k)mgU=jGGFQONQQxc0D|lW&v0_-i{s+Ml(7%E9&cT?&ZZw~Ykzk$?Ilw$d`_51*6@$d?(Z6owiv6H#WE3ne0~vyQ$bY(agL@i>bp>;*4y54)2CeqZd%* z1&QivSOUuE1sp1t&fGV>&sieqkCGme`uJ?m$alvUFbFsdXQT4jI`8UZ=MVL+`v3i_ z6+zxu5@|EO@)N5-C1JDc)oM3jn+y2jIwOag8aD()@mP4{Kj7BAA#Ry`j4iSlu&I`M z@8iFq{i@Yj`oPHl&bpW^ANu>~A62LnlAdSC=t%wBL_;fcq?@criQJx&Uhb&-!5LYi zkjrGiSk&ql$g_JqV@t3n*sl~xh-9vAEvYlYv-<&B^xAn!Ox zb5jQEmmcS`rlwRl{0mwEJj-Xu>fl5lZFkqX9M`z2HAobyxbD3ozjN>4ptaUNI3!#8 z_VEs?qjT#(RQSC+MR@->n+7lp-#?iyj@9X~lV-lhK=;37Txg9)QXgMQ@g1Udi zOBKR=h15a3ykcROoA!gYBt`c`YMP}YR==0}cwpP8Ld6t{z2mj1cd7Q*?zK;A!iTb6nK^#=M>47A%Vijem z?B4V#Qo-3vOzYArD+I%)63bTY6MpkeWF=2alegDZ^``in)JOgV3`)!V_Q|3K)~VmR zd;OoY{qEq|DBuq-<44%<(YMDXKib2P?s5NZCxyLi8yga&vEi2NJT{R_V+$F}HDsQRW8An5C5kR=S!OuFBp;7t%2El(K6xvdRjF0V)mofSUm>Fn&L>kXV_EpSh)Y}jD zf73nqpAgrLu;JS+BjY4A*wHD&4FRaip1oO(VtN;#2DANRuzzF0HuQuR{m zC~9Q0?$$*1m9A_d4SKl8yNA{LI1OVT2*#msMHisZboBe0&SomUHBhUNfIna4`l6^J z8gDYw&__@zu!qtrYW_(@$`+fd{1ZPX^T*D9JyS9IGkOxga6KAp=@f#|9%zLYX*_Mg zw9CJymHDg^PpM1JOUr^uYp+-HDqkFVEF?CMf~PvcEzQ~^;Y6#G;JF0iYq`I9TH@MQ z?Z2Kc>Z7-dy}Q4&U$4|eL-y66JEYT^U}DTukqoz=BqC_B67i*`)q22h_feA-zV`vA_GTq)D6uB&y4h4%bO>9^?8uNQpLR%iCbs4q zq2n7jGZjO=Eu_+2bX1`vfNA_2z0fR!|KNvqpSk%rkIB*3UcNP z+D#rZ3f0B|e9`xDB{BJ0<%E+;tIC5ql|ChZD!lo5c=CncN+*_l(*A={rEEFTZQk7r zzp!7{|Cp=a@~jd`zq?H|NItKeeG-(evLF(ZN3MF~gyZ1^&ZfjN*&wx8V~%jcz#_%i zy;!@um(hQi+Y1ZrN$}G1CV15OjdzTDR+kd-HhMYn*74Xr*!cZunW^KoEfCVE;4?eK z&~NC%xYJz~K2D|cNhn553Gpt-c{WHCgpm64mFgJERZH*Cq&|tuKfS-9E4%n9#eX7u z>e4fQ_;7+lYU>FZk+h8uiKH54yh!G~Rz_WbyUz(3ZL!Q@(K0~NT*^C-J-0;yi z8Zi`}zlkXF2p30<7X5eD#`R_He%JWjC9NDdC7j87B=BTs5;QZ1^_c*wuy#_zVY zu2v0~sy6DvCJsw0NKfzZy4X3fIZPf(y5tTwCaAs8xaL~zanf<4&yGbbnp-48yCijf z+cQnS9HMpI=#3*@Nlxa8T@W0-*X6pmiJEP89>OX%g#4y0v-!y|af30Dhltn#*@rCS zH*Z;I12c;&9PZCHEod7tv3EQ&qBYeDdh=xn=RAaT$JIhu_zvm?Yc%)YTH;@%g9OR% zPQ134hLhzUSP#<%l<_irkoWo=(QNiW>T@5%_LS}^8TpT~byEgyAL#8A7wV#1+eZ~%%=7(cPLwSY8-Zw!-p^xuav?KZx3b-fh>-|6L4}ogeLf1pkRQ)3adtkJB0@}U9UBY zceMnC&)cBs*P{glo=B3CdDZ{x*GSTqwG7WHQBXY%iiB zTr?S0#Pjz##RglTn6ZW+bxZxsgu<1Qh$e-+1FPqFisuw}&^-^ucPnLtdbGfw_yqmM zdT#MBW(cr1Ufb~!zyYEAFE-y1g;`WU#3Zr5a0etkWa{A~BEUzmpQ>8J;Rq;`AY~~_ zyzhr>N^`$BlA*-lm0-^Anf)^SC$ELE-r=10acswsQpoVg*_sK&y=oVnj7TYNouSu8 zt+7fAF<<-fd~>?zc}@39UwGCj2i`h6Z*3O_O>~v$O=}HPm3$kd-2LCb_Ztws*ap5E zpg-8Oibo%QX85R#_l0a^6Yp#dW8fW!pOF7!*oB>4&SPC%z<+EKD3zBc+$4 zF$}T*fQ2Smn@On~U}>Nl;paUgqxbxZ$_0!?HeJFhs&~!JVr3NWTPZy#*Qd)-XiXk4 zvWYf>lE7JwCajbx_XbtBwmG>m3|UFc9q3Sm*CzZ;gvnJ;E@k49xCVF~$!t1GVpMp^|%SOo!l?#d|z$JnK zqWdfRkWg%Ke{n5i>ze_k@Z=T;S1Bnp{PP0Nvq_9mA?cCAJRh`Gme~Lb5?e~rsF9n~ zKO`>3Uy)7uuJzj!v~GNG#G&`O)o>d68<2e7=UXU$PGjFV<&AfZ%BHKk?My9*-2!to z0QpahW`&J~x?R5d`ZuUsF_gM8ke0) zhorW7Py9wg)^}*PgQ2Dm@OMdSU+8RI?%Y`{_ybd= zOn=*5w#M08s7jh|D-f|J{=Junp33ui^l({EmJ|f(0&ct~fshBxxG-@QDrdb84$Su` zx3Gy=)M)9Vnjw`9udiadRp8t$vsJVU3<65?5Tswl6<%D&R;&MLZ)aL8-2vk|+w41! z=kpSlVzbo{+P~i(un&PkR5^7ZAcXENff#2$jljdjy`?{Yz$Ck3yoYu!vrK{_+XWfk zxNBk3&gG-qhI2VMMu@VLma;?ajfAbYJr^0gueoYlQZ;~a#2%BC_M4je z!oD+H4nL4tfbDws;1txT+_uIiCDQg_&ocg{@P_vcnp%0)tDKL~nvfCiq`AfykYT^s zmCD#bzrqTrV3O4LsHvM^6)e?UMyOyNW{bZ=!Mc>exOEE%7Xw#2h6fRZ+tz*D3?DQc z{V7dP=Wv`12ZFO7R-&9LTsTr*U6k)7M1>1A2jS*9<0>sHS0pjt>bKPg)lr+~E{ZQNglLHR8ZxkG2{8 zRBrU+J#@Z108tobc(J_3!N{%mr4>GTVtp2X?_hpgaa;dm694yss9CeECv*WGX^AD6 zAA3E{QJ2Zo;x+8$26JZe?sZMn4SdecRNCr{I?woZp3l6Z;gcn6X@ovUEEr$qdF?0G zORl6NBYC?5hI4G5Y>^AR5`mZbC3ltrpfDb=qX5_BeXtVp!$|GL8*Dnw3!*Bw*dJwb zP9$^zWdx?DO$1xW3?Dd8$FdHDGOUE2R4L$Cb>^@hjc-Wt=V6Rg|KQfch|{tsGd9L* ze6Lw<(hfHR2z*gskU={Y0>cW7S$)`Z;7nNbK>uHX61u;{G|Mrpa*(os#Z?cgUe)V( zWLzI51F^q*V=XBk`|ligVk!<-Za!7!!6;8}oY*RGofoB1@|R1H0PE{6NYI>IlknIv zG-p6=GNAf8Uf{wIJBENCeOovj7-%KBOyV5UMJQFjkZY<9*bQlfUodNW$31jn&1tv8OI z#)m>KMR+JBbL1>vg`UQ`)m(|@jNivqh5Qor&4n2jy{zf@&ME^Bf99N@w&mKrM@W1V z)#2kDKT~a;U#$0q`)i_EEEpt)be%f}#RQ{t8*$-K3YNi=hMtRMfR0s>JS~j_@Er{F zK|8w`U<|wQSOdzeIgiEDZr{;DCuk*UK=p*En)~$_^7ims{TI@QLUvIdJ1qJ2+;3x2 zd~WK($iL`Nhuv07Z{g!r?&hiNwWHB1Z@6>Uzx$2{!c25Y>WiAV($Y!0xCSv z{|W`56&SohG@X%?!~WOE9s0Al7z0Wn&?-X8s-7nmLYU~#%^YCbgUPOG>5&l>uOqG8 z5;CEhvb3LtA=P5?tCJ9VN)HI$GVj~J_CY5ZsUc&Io0p=CUQ*UQ438K0;jqtr`DUd5 zb}KYeWuyp1BDa_~#HrB&Uz+dMH-&EtoMZPijI1~Ue&&ZuS+ zr}U5&^#@Yb;)!%YqwmdPB*NQ|K@vU9%=yFCgpST#!)4hR>m;#Ec(zr^7jV=fJag^; zeX`cFro~%o>yEl0xv*A~Ss?uu=3OgfJ zT;u!l4euH4q>1J7VM&}ZSI1r1}e5&wuJCf#*E!rx_yx-ma^LZ{3y zexV`CbBB;m9&>}D;*5L`c~{ErXC)f5YltmpLrQt343cYPXev8p>JU9?t?u6(|_)pwFDV0g|g823ONWQ z{SaO0!w1{Hc}kyr>a0Q0uN6m@Yj!aF%5SfUL3kdANN5-+6?STLU4OgKYFA8JEwMS5zqbi@e8`PoZT1 z)7S?>vZdSz3@(*pN+L;29-EfL#mkQoz6JH;b&GvVPBu~VB;-~!DofMjY$K0yyf=P& zk!GU&{+fUD%UHPnf0B%A0$D02-6#zMVmVhka2uiSo^d zMf}v=(Jz(81hTy4RpnkK+AQDW8MPot{IA!jcgZnR(!u_cJ&8~ zsr`2m8VZ@vtsp#uP90lBu+=7aF(1^|@|N*w)&4qLii~PlK^5tSAToyEAFH)KjSQJT z{{`$R%1bZo2mLpw13u$21mL@~VMuIQrH9Hb;7Cs`limz`b8j9h0OPsOY?rFa%)CU5 zR(-c%%&pRbfV7Z5WH1S_%3Y=;zC6`LQa>n3!-WE40KO15ihs)WLq+kGLtLfbLlY^B zz87}011UERWAC@X^Xg`?ZIT>v} zC5dT_9Oh9sJ41Vl;}=@C=K0u#ki1ocZ)025^^2Z%bxdjL6r-f!e~)90vAsr}#_|3x z#r@Bba3_(bw00;hNX?QM6F5c4wJ84<%X?gpb6z%n?(avM{^qjyev?;H;J<%rf#MxO z=C@YTGr%p99&vCWA3-Hk6i+iNd1Polys$EH6tns$(_p1 z%@bz1ckV(0OcJy65G}Pex0wp--FI4Tq2BK4XOV{XmqO?Cc`E_%)1|!$9TUk@@nJ>D&whu_(!c9j z>7s~oBXlzb;LE#azK7@shpgGSVp9-qEkJs;7ut-iMJywSSz1f-+c{AbU)P*YsfZVF!U+&0ee^3rJ}H@fzciJ(^|AA1+@7?FRH3w>+$ z;=OfN!~dAW3qTiOhig$WoKGC^&4uybH9blJk~twb zY(12S4gQu3(4?SU0yM@g-W!-j1)yXy2;Km}AVUSY;jmwLtXONr!H2FyIf~b|ee9i71!4ipRWawKL~MLBL)}?CnU&NDv>7Yj(9@e~@N|J0Qta0 z{X*!gxFB(I$8r1X!qOYf&PW_;B^@%*S9PGF@y>gJY0Qe)HiY*422bVg5Un(jR$Tbw z*U&+P4&j-4hNR$E{$f0-T?i+Rt zIFXHMKuX6O#<+8bK8;+$bQ7pFtHjW^3-2}LjazH-;RL@OR&M zfZ9*Dl8j5-jXXx=zq>cSjjN)DBG(pInvyRRiQigd{o0l79aC`}W{gr_>VCiQOjBQm zaEW25P=p*c;(dm2y=$8Kc-v+8ZVoKO*6}e&vZ&`Pz;ppLQ-%F70u9T+O(HyY@IfJc z6^Ko&p8TUdkh96?Cnl1ipc0R;lyMz_uV|3v2dHV;1x%8DsfC>9-q7{ z{?qXMJ?E$3T1c6|!rFzr0{mB#N(%E(G2uZ%T-?&P>c`H5wdK|guN?^Tb)_o0h+&Jq z*QeVfPqkTgNG|!GtrZB%zm9NW;m7-EcL8GqEm?(%&&8-L&|i&DFL8gE8PD<~U7Dh^ zz8j@1k=d_|rj_@(_^kw^pCrmn(nY!}Ex-Of)3wOdqGC+}Eki9?HH2yUIejb64VkLi z$?!f)-%@auieYnWX>lCm$U}i_Qb}z9Q~|LZA!OBX8DQ?Zqj0i|wAaAn-W45NbN&7B z=tz@F0x_0??{LC1%OHO%epL?Fy(n_oQS@vj4rXH~-xP9MTCT74rF~YRqXY(^DX2&Q z&NT~yfZ~37O3903ubU^v#xqSBU)8cX#y)?>V}!}@J{}tls+XQ$qWKK04E6x z4wg&f|FX#jn{OJMwBU`K`wl&SVx7x9ex;;JFNjR9udjh00R2`89L$bJu;4GA6>GA> zgX*fSm4l|Cw(jmC7@8^8XsAkmp45$Dwq*SF5;D7zj0PY#z+={>_ErBejG~nJii$#W zHxC`auFXQ*&e#H@)Q&ODQCVElV+T%UW7bpx?lcuIVZnJ((>|6^+QiNN z^$=m8IuHhmA+&QtYv7;HH%SYeKsGB`A{cA#1E5J{d7Gd#9$@&d=RDV;bur3K^jUKMAs~Zf)_H=zozCA}lTuT2+=^9e?d;T~1xc=2 zC%GiG7YGOBczKUFMr_sJbEIb9w=}rNNl^GTdm>K?%%U{`C^`38so@~J23HVRfOCnO z%g9fq5NXc)WEQd*8v?$=WL01Q{eprzA^!#$@0@worn9v)$YQBviqwHY7RqP^`QWL7 zhe>dZjS&Rw0td-d;sKk4y!w#K!(+vxO6=Z&Q3O4V}$Epx+{iuw#g(m+QBena;BCGo@O`ZadC zkfqcU8de4paSfz0U#0Ro=y_Nh1GDTNx7nb>H4&>i67;Em&ulLSeux%mzk{F}00^ID zNMpM6z#JZoh91L|w(FM6w^v9_O&)Je`IB=@S7CB~&>Cr2XYzT>H1_OVNIyw( z$2lb~E^d=H(FK+{q$FU=Xuu}%Epe|Lt+Bty<^&P=?@0@y z0mMPCbsKkeMIHr3=_bQ-dG^X0>tTm{QE-4F&AOozWA;O|OIsE(4K-lN{9uPg# zZw&+ayq7=elo=Ls8Hcek8hTSnaDV11?#WbbeW$F{WkQNy7ADJ6apQg=0*4=Ek`rYQ zw2Hw3NV`F9`|9wx<2Pw;jN4YN8%!%e(B^<}2ScBDwuap0e3;|19_;HK5hujQq^MpH zzR{eVtdXyv)rYmiPNsuNXBS*rx(7)vKnOcLc_J5(%c`H8$~Rf=KcTbMZ+_}H_U`92 zVq@k%@$M-%#rhJgZ*aEYpG5rZ?4Y);@zT!d}!l^@2xXu%C54!O0H z($GI$1UWe`FBW{Yq|ATCa_8Tw485uK*f)WM9D+9OydpQI%T@@^7nnd$ZFF>s$+|6x zN#O!!6GpVaxqD&%Ze>X_i35iUdtvM0t=Q@~ngGdU2|Kp+f##B66cmr+ZMbUp0;3;r z)hXOMwhrnTZa_u{eGgcxMR+F9{Xz$&UL5f&ybXK`D@O1 zFrJnxVK3xnt@5^!wx&v*OkO`c^Sn1k#?$%%JG3zl4(S%&O6(k3t z+R3C+z&u%^0f)rwXT5~s{Ks$N!FqAzS*pSswv~h1fn+lf_$aQ{5ZWIAqj;!Q43Jsw zt9}#QSF<_3zKI-HCm+6e9wc+%C$KA~aGP~~qy=_IO@lU%CJ=k~iLEeWKidsu~t@=~AAMAO3TjHgwU;=!85y{)3Gg|I=%U4GLV@htB_#QLsYD#ktCl1yB^iq^qYV5RzU0ZN^gpW8(MZf zJakVF526Q}a&FOR`}@XIyx}tArR(Qz2P@C0Z#4L=Ma912%Ak|&=l z6g>D$O-&7=Cnz2Wnswoi=>~8WLLmgWfrWB0l5h!U3#c}~EiT-bmXd{&p5=mpyNQ94 zgK0|9v)m3Hx5A z2#{t_{s`S9N?hCWP<&GL%UrM23&ZLEZt(4FD>Z3oY8)`Yg3&#d(=*qGr1j~khi*=O zPymS>7!a6VriSVPoJ&;$#UU!t>rAomXC^5|}6<|a259a|2#jc_(R%aFue z3{KBD+kA+Q3jv_A$veiQxZ3<%AkG6)WqvBp0?P9KI)1>-)hSOJdv<;lP9babQBxLt zQZW$DxcIllEFgK?_HazQAi?e8#O3JICht-fVdL=>XuGvbyQ>oNvx!oRi5;w4o;v2_ zAf=~U{f<0b-)&{j=c~97x!M9X9VX?$jz0!SG8?4-LAwcRTSY=)tD4{w zv9SDsF{=t02;E%z!J@(&0qi4))D`!~VkSJ)D8NBRmXcanm))ByMh#hyJ@9vo=e5K5 z2xmj7t#=cYav<*16O0O+ZSt;%00@fiW!EpM2ndw2`aeAj2uh2D4&ZN`R~M!l$`WIr zbYRJa5^EKfeS$&$fS@26VRt3iK2VcW2jL^&+<`^YvMi4V{SIK90-CWHk3PUr-_W;D z+YtHme7KT1Wa{+-Orai~oQS#piMFp6{DyUq)|&Uw;QP^*Xf^m?^@g#oP|bixWHyjF z+jBb)m*UT4ob7KV8giT}s~-Va@-wyHp^X9}W%rvt;#Pui%Cno}UEZ%DZ+9q86Ur3D zW8VAGhlbXEvmv@w{pB{ciNPz|>Z#!#r=8ZKFQe+8iD^ovmfz%#16;?ydRQ8nm_70N zbm%m)J^?{IO3X*v_iXPN2g15D-o!J7#9hj-op>)=ruQEFS~sEnZMG)%2nIDpL45f( zXG4onSO~n2+4gqn2MHB;D4G(y^Hvnis;()2tmzrNZ92w6Mc$m5hlb`pU4({*SL8*KG#Ds?2Q`HLK_r@h`qoA8#&$=ovOvx|`Q=$U(>bnOgMXG^j6l9T*`E zl6S2-(?1xRi()~Vo161k6Lx`42SD}~KY#F=+*6h`qQRS)nVDfv0-uud&zQFLvJ8Dr zt>6_oBNsKVoY6aI!`AxD!Vwv-&_}7Ns#h1g*3aa10&rp+@O+Px41K!$`}yZMAj|+1 zDMY)X7QJK)JFQbwZ=e(@GgUhXjksw7aSGDi-2g3d+h`TS|2s`Pi;%zp74B^=b#5+o zL)Gb;p-^JYXW1#HrcZB^sw?4Ot#tsX+iDDP_JgOhY%eA(EX>E}2Hpddta;{M`f<*F zA4-1Yx=qHKQ02nh-cf;vhK_SMi}T8=9@;AY)+!^-<`)c)sA`z4%+JC+g6qEr_H*I8 zU5+63Q&d#+x!4ufB>8D6YJPAMyPe=$v$I`0|xm#qbO`jwD`p?Cl zZXq%}!QGx;8&@YqzP>_UIy{~2fud&t9Qq%l@e8`yq&+++2j#hf;lW5(6YHZdN*2v7QSx9 z`3y$Gbuk|4OQB6p-zCTpl3pLERAKNSYsbS`Szcx!4EfGQZnyf|kd-^OqT)L9aK;4y zp#Sz9X0Cut&yt{!uO1>xr^^NURRH=NXH^1ut4KFAjpZheyIcSCWq6VR%Lu~CiHS8} zvc`3hJS=waD0*+Qrix}XoqY(lx^SPW{=BLMj5y5)383FmUWtVdOK%VqOkt`Y0A|V! z^Uc>ef2{f(@FTwo00gPD!DNXR$!HE(ZVXAk04}79fxM6c>WBoOT~LmPa;{q?cern{ z_fqd$B*-Ki19{QoZXV%%op-vjx56wg&R_CtYodchL1<6ei*7}PG<{-4i-qgKiQVzm(b0r#nbR-<3 zN-*;BfOv$ZwPT&hJX9v%_(*A$Yu!N*@P$r-I8 zh_I&`QZBEo*H!wodqIO?{6&0*^5I%cGm6v=!`Qt|k6x1tFrv%v| zIXSrnr?kmQUSkyHRH><;!J|!SR@V4paCK#+3=aieuR(_g)TvX;i+~-Q=nk3-DM}Wpn(yDQ)4qFm zN<{!PCDH5T8heJFTcSJDBeFC@6b@>iZDc?fN>>&M$>%>?&B|&FH`CDA2!uemnOsG< zOcfPs9t#k-r`cjN3XaC#oJu%2+~}v8YNi?BHb$DKMK;C71v3biA(1_Gw`(eOtuNR1 z_n)0_FSK6+DRl7M$&%|4N8lM@7=W$&j%w_caxsa?8I3lQ46PQ#Q^m3r6!~0aq6)%s z&bN8qY_b+~1Hu!DEJaxRFu8N25KBNYl^Qq7z@)0=MsgIuWL~zC^-N7YHp7O`2a%TFsB|EiG zMM-7djtv-N7+p%mA;0^dO`QPq4gU*bc7)~vPcUlNlBy~56V0; zgxq4~7$GBB;{VsW3xDZDdPz|>*uO#oGWZgD%K>#G+Q#z-vrS)8c+4=b&X{*5pHfpR z#ce!&kN~|Jes0)YUtt}+-kEX(VJ%pFqY#h)1b;KYGD4R(MF~La-vBxVtKMU6b(JaU z*XtMh6xmmVKsRmuNKp`A-1I{nP^Q~}W^NsSH|wg}(;wN|W_|UBKF5BV+CCb@om27% zQQ+~_uBqxVG7U{TX!u;uyWCgF`|?6QXfGWJDVzhkE4jF$-LR3a*>x)zL7@j>|NN2e zkZ=O4My@EYEokH14T>^uw8r>@`L~R?Q&M{tb&5f$4P44EkiK!l&jn$07jpy8 z$2;=_P!R-6L!DPJ%mWkoi~#XZ;jzFmHyd2*8?9j3CX7^_jwAUfh@aV zr0;-kgbbP`dFlwIQ1C7?z{#kGbbr43xI{}Wh&r{kwmLgI>tGjw6hX% zC}=%@4oWZBoA<(yjN}23zP+=;)2DoXk6^v|tvM>c*PWk$E;GYss9v7GjP!+s0p#nqpeiKZ0w}_x@bS%HDf)4O z|EyHI5DJ+A*f2)I5a_Ih752@F!26t)H6cD$66_^Yk7-61ceVt|pugq=EfyjmX2ShZ zr)Ok98(*pB12_Gb`RZ`D027~{oZM(i0+A%L_^;K;u!5n}4|K8MEi=S+o57+6EfmSO zc-%T7FxXzF|MfSgJ&>;IRHrU;g%TpD`QKI&am4>$?BP8C3n3cn zbPBC@{%;oXWXS?*N~^2+`T20Mzm^vkT7=$*u<1$3%S%b|@l|?x@p}NDO2zEmAe_V> z@Tl}a0RK!y-*ITt^~>e{RCX#9&(t`3LS_gk=F!iY&p zzd^Vw@#M2O8woUCr@?`e^V^VFR+c`eS4lzDGNXeKuKvG|Qc%=GS0M=PAWoB!uT+gk zu@-OUMGKy>5s@<@S>Xv#-a^kW^8iRL#51sQ|3*sqC%z=R#J&&R!E2> z^N^ufrbMU=A(_AP)_&h-@4oMQ-s5=Q^+$(;yL;Wk?{^L7bzax0>N%Tv^LU_?Ivq*& zG{QEh{(`-Ff_GVvn23nFa2P^1Bh%gyT2fRrvIc}S$$C#gpwFm1F5o#+-<+&xu%B)@ zafVTB21sF9qx+!CdvW)djh06tGzb{T(b@SVaXL9UL*X!eL&GeXw0~I@PV32`fYH$f zTyBb=(MG~>DJ{;8zYbgn8AjqABg6s9nkq+^PLh_E)=8Rxjxm0J7*7e4qaW&QCB6yD zNf`Hz@NX&ZN=!5>xO7A~494^Fxvlh^>e_;|XEqB9XWk@{=5AN@sp{$Il*k7RVkB!M zM9~k^?2m+fx_3_z8LE*21NyoxXv}btp)K#!^ZaQZK}Z+Zyr*yMASgB?S*y zN#Z`hPG7!!sVZ;`M!A|{nAmEnYHFaeP9j%9q?nTB!&g~Z2~+oY_B*wCC)x^{<}W-{ z6*%wWA}6%LX9binp_4|u-wyoa(|;#2avh8P*Bz1=7w+Zd#Sk_T&+r*8tAVI6rif{1?Dbm~QI07aNc)%=8MTx2utEOoC1bcA zI|oPanq?#@T};OO=MTq7{z|hj!b%8UY>Q+G6S2k=UgK#soKzz_-y>Lo-}8Q zfhgd*1GGYhCuK;RpG~}(E5h5h5wZ%tZU&c)#P_=_8x?}rhr&nM_26K$A}>$K%fZfC z?!a%AFXZ-!NQuysqP7lmSx}2ClSD;DA<*~iR1G)r6ubGblWH-~IfX)jCTqDo6x@`1 z!Oo3{jZM`_0y6zZp2>*T17Q>XBZl)dVIpOnJR_$eEGZ6y!1_}1sY2cfnP^-yiQ)Q^ zzbvAuTXu~dZ~1SDh9&RohiFIuTzdW`mk)hFU?36*bUIlf)`uv`@W+n=;RkWLUWhL; zGci?FRA8kAi9vG-qd&Gs2RW~0x}x#5SlO4GMO{odPysr%Z|ZCf5dR-qgmyAk+pWj{?rq7=~=@}ZX zYrvE)JInnf%PsQqZp3u#HM}cVtT=X`9wE%uty__?S>LX%g8wmh|CR&i#v7TIoGkbN zf~pwR561!Vwk^WK*Hs1f3i$4Om$nCaDFGQ`VrA{5qAKc@?NgoZlH0dq8hl2BzPW2( zILH-Y+9QL@rCj>@`c$v*yr3yQL|_0nNp51>w$)-}?o`4F$UvH##|~G?$;v*_6Ae1V zbn9Kh9?`8^xlrRHYR$36M~;kPBE9gIE&RJ2A0o^2D5rY|wJG4P2kh)9H>;E`jrs(@ ztv#Imz@1@)eydL?G4gO`u-!hGxYA!hOzej9S`z7Hg;gdbCQv&=S4&ncZT&r9w-r{~ zhr_Pkw6V2?%wpN`-S&Kg?=uAR1+DL-t`0S!0L|8TvSzY+CL#B4f$OZ13*pMg_;K_*Q2qlhm?g_ z2Tc_$EG&AhXh>4|fPagNl?jOAIhfJ)_4Qa9S!-x5Q=N8CEyCfhZOB6Z)X%te@c3zf zV*>De4JjsNwu*#-D1{A_Fw57|7TgzDcHBvgq@~j8aNEACP*an+nU|AuC%$*2aCR8P zuAA4d522#uKttnWI6XZLg@$*Y(@M_XIHCmPhcJg0cI#z;P=;jn-rwYX4_8xoon zQ+<)*#@`1Y#|^#UAdx!HPqhp=Uy~p)-b-Dr11O2$3{{Jq2EOY6iUVxb5Afo_T!-A| z_?@++pX<4}Pymwdh%5r$4X;5k?(FQGkM0v^FZ%iM216nt8)tdw7Q-MAzj6?{kYK=- z@|c|h+W{WibI+bv*up6DfBE>a#NsfiTMf`V+LvIxzHVKA9oW3=Bu9<-2Be7~f4J=y zyBdHjGj~(1^TgbE9aiPhI%|@p6XqrnJ%64v*?xX>U&JH!x9;IaaXU~wN$+snpSw42 zPHZ>{eD@g$c&aE)MG<)COX#};A^~At z$!**E1+B!`)~(YuFlZUjD4PFa3JK(2=OGoZYfRW9AP}g^%F8?dYB@hFJU+6M_tu4| zV^QRxNfc8Ij`qmJM#2KOZp?gqAS-t18NR(^;N)m7=$>+%E2ckO0(x9a@Kk>8vA}L~%px|Bt+&HMXaz!!q zJhKMd4QEd(JxL7t1jN9f4<|H2b%nJ7OCN^B`Dj^7%S9lusCCOo38b(6yA{hNWR$}!g!?c$Z-`Wl9j*{4!mVBmB3UFI&Tnb`>7f%{DAofI;m3o@~ zL!G3M5)va#>Ptd#{02tw|0`TCK8x^-_-$FRUHmK~o;j{`83huyj~?ys%BifXa^^21 zUQNHd8Sz4V>hY9-f)cVl1eWYGhB?>C-ir$ut<~zX&tBD?_kd6+)*j&~VKt;g{Z-C` zr$O}0E#YKly8TEZlmUQ0`gf1aJ44KP3Y(4&z6|9XL=$CsCYOGR!iPC_pG$#EA; z_?N2s@iB1SmI)K+5P4wv&J5F&#OaXekYHuec?Yl;%cI3J z9MfZ=aP2hIbYMzfi1mQ7vd_XGX(=AYp;-+$2r|2whiOO=tB4n94`joqO_4@jc1 zpbHflh<>^L>*Hf+P?kQYL>f(f^yn0dh95qBm`Q!o>cyWG6sk~9%UTK*V~hg>o7 zS^f8vWa&4uOYts#wEnfs{)*#>zr`brUphvaZfW^qZ7rRg_#JT~H>k(&0dzoo2fjrd zS&qpggXAgbFkvb<(0dp#PZ7lgqXGEXeb^k-7x0$jPx5yV$T9yM@uHXhKX*$Coly!RdXO$M4<9=U{oP-s-{VL*M8(9K zZE~`*WKg%1i=xR_|1cf`JS`SfTZIf zK-=ZnH zo@?0?l>GE*<%9xTeVn&0hMN)!2{4KP3RCesU>KjBc?U4{-BxjNz2xSla$MA5L^(Lu z%a?#0gux?!m#D!Js7j>wZ>_fbtMott7(a`wzm5{S{LY=}YmVyxP#tMX3X8A(jyeJ| zl&r(YbRcGqXpFtd;#bwaFMa;)@>yQy+XGP2|Hqs*6umQyj2^Qg;Jxxg zNRxG_?pb`SvX(0R)z1&?v@{E6+uy&3HaC`#P08E`_BPWUT#6#>tDt_mCA&x-k5tvl zP9jByiB>$D)Rl?SMUox@30(9Y5|c#n^Aw$=I|ny=J(GyVUri{fX=%@Ma!&HTrv2|U zbZtwS%CBp#Au>|p^FLX#rGp5RX6f^9Z}s1s#Q*3-q3KqqPv5xP|M6oZ91?1deDY2} zw=>o-UENEjr}by2)id6xZGBmpT;r=wG03VVJqm;PIc%(11S0E!({Y|Vfc2bEqdlSg z+wrvALdP2TBETaK6V`P5x!GUk2!cRJ6PugY*1#Mgt>y+{%`bk`YUvC7N&4)J>rL=& z2^z;M>kB}m_Oo+7tY(&istg#zbN~{&hUK?LYds&5P*-ATh ztfV;(TiY*~vWl85(%d@%2o%^M%Ot;kl-Zv+H>37R+zD>Wes%rEJ%WJc2?e=<0d-Ym zs}+@%$L})+;hz6~=-}b^q@~X`-`rl3-IQfT{rH+L8^h`ROrXv&jy~aZ# zVPQ_!+-)Avx??16o^jm&V4|Cc9~i7d_{Id=)qIM%@$o)!aw|l#E#vD|d_-~k#IrC~ z_7f6!K+O!a8h(ZyWd<>UD^}vIHs~}o*8y@V#%65;EIGQ^eLg~mopMW6( z)MUgafFW+(yot%NkqEJKqf4(b8;Yz~EILM3`G39IFX^yprB_$?Mkqm1>|#IB1LHDDG`VIevRvB_vPedF&2WNgQDcEv{3w(0(>b)M(f_rS2Y_z z_3Q1L1|A5{$Z`ZK@Z^zI3rxSS4Zy{+j}i1xRZpJWEO#Dt1gv&el=zCk-}zi_$OXz5 z`dk7AP&-1jN3C`!nvaMvdUiHiUC7Of4Wtkx?^seti@bQJ7`HF2xPM)?41$%r7a-PX zuj1}GgueM&O~ond1x-p>Fg48}Sw==CZAe$1a?2Jq@i%osbRyZf z_y2y0vg_dLl#>m#wTm^aM~2?jp6O3-0)W&ljF5SsD%B@+?(vl^SBVw>_wVOpx!Y7< zuZ>JW(`B&HKPK0Ev2fV5yKs#`ax-;ou&=M|f@(M2Kc7m?%ECRq!U*0qlk`|aii(PE z++dQ^on7sqqoac|%H1y7=RWE}Hpo|y1O8Akvey4?n;Kvbg(0=c3k0-ft^f*RSWJ3m zrrXTmV`nO%wfTK~d=YJDfXH}wV#+xHs8TgA8yFbe>QZ3b@Bhzx$nw?r8h;+S!{Thw zVwGlHjGUH&g@VokVzs*_a$C2a0R#}|y^wct;~gI#l7NnAc-s+SevDzDg=QE|j}p<1 z$hmmIB?GcaIh?RvjO*`i-jQ&FPEh`4ArZp?i?Odj{Gv3cV{FVN_wiv^82nU2@0b41 zpD&yi=Hoj^97S!}AH+HKb6^&nXMjm`EY2gH^D8 z5JM6^vO_4$ZH~(d1(Y6hUc>{<$%g!1NkG#;C!;1KzG$jV1GB#&VY%F5POCZC9xa7> zy1Fu$I5eCHvl3S{C2IZ86_IVcHmTW$_SM_k+Ws}Wz=Qq{OK3-9^nni@(&4hB*=P;-w}Ki?+)`|S}{tA;-U!Pz$e z52$UyOXwt>_0km$7u~gMIx*6Gh?bJ@e;B)1?ZN~c(HSMAbWJD2 zv2pFEAIEv+lgY2%uei+d+XL#;_M^uxSYt>8q=SmQ|QA-3u27qlUzS)VGoFHa1 z^L_pF2~gQ%nECzt_93+$$aO;s2vjBzb+NIi%FrkWa-X9s=#-Y0-MU)4Po6kI=!j!9 z3l_uRLhmM#QziqLDfFUDX*UeOM`^OL%nMPqeftI%xO$rnE&8M%;uk8m0M`Ikii(S) z^zrV^n>RHznxf%vUcc_1x|m?HmmF7M^;767L&XEw((;;`V1@T3rKK^(nU5a5X>E-( z{T?jW*)8UCNH|9Jj81~LFkB6qA)Zw2$3UYk_H3{CA|$rIQvrYuWqY}t7HE9xiLzO& zknoFUmlqOx*r3mMmEl0u*QY@Y6;h`Rt!n{NqotL{tg5W65A(S^%Cb1CnQAmDMh~o7 z9hx}(qun7#4J|iY?wUX+PM^9RcrsQ_!B-Qqb`YnuZ+l8`u%?mGdvw;WV_}g-EMxZ& zdqB1*1Ov6E2H&Z5UrXFpom%g`F#R|w+2d;$d-)d!nv)|hQoQHCSQH3l z3*mZlOfZGYMZnR?X+u*sFvwBX#_dst;m^;0XgqXs7pTiUEyPZg+$G`X%4R|_K%V;C zw)Lia4xBKO^Z9N+W@yy(efvh~Xo9J7Jz#x+ll^XFXir!a_v+BTBT0JewjBQCm4err ztS!Q4(GOR;X3ZMvb|vWjSiB%;e|dI4zO+gzDJ}L8xOK3)kiY|E`>2@7=I5ip1KKY3 zY<7{sGIyh)l7f{K1oYvapYOW>e9nfT`_JQxYoJZIO`2hDK}U z%O=DEI7OkO34?*Z*LUK6*tvz6^t83RKYe;VZ!xy4^6F$!$_8K<%}{%Vth1r-xhgu*tv3yn#?eqTSuD8n}ZM1B`ET6eUvGRlZf zVAfk+G)(!^q$F1lkf%;NGJS<=Tp3BF^kKc0&UO!0_hsBdRqHu8%IB?sApGgrKk`1~ zL|Y`>^W@v>n5VUb6e06RYXI^J`yRq+P4C_zD|_y7JXoAv17xC6&|deJg|&iBlZZ`_ zC9_6Hv<4aBZDq|IFj}6Duehc>dQchTt9UrLFKo@8A-mt~?d@IdnoN6YzrOt&gc#e{ zZv+m&Xf&Q@BTGlB*uHo~z)$%f=H@)?FJn&6z-S?T`Gmh$D4z6tL8YP_7zY_OMk2a1UEsTYigpNR7u> z!$b>8dZKN21+(kVP;2Yhy!9sABC$&dx^$bvB0pJAG%v7R%Yr6aiySxr*qZvf)Ftxr zw(2L9nn}Q$ce_7BFgso&2ecyP#Hyt$ztwj-*7Z?C%?yOa<2tlr6_ZY|?veH+$327{ z`61H6%gtE@KZ>+DPZUFbqGIv@h1=I+uk#l*9+>z3EJ3_#-VE%mXq0hKTymafSS;hP z__U)CZ$-@HbIGY81a&QQ7g4v&+f47?sUq2LYE1zF9`S@d1(*(RD=QxM1d0lI z(^$LUupU4I6H;hY%i*+>(+clKM4alLDy=Oo5qIt&Z6n5I zwMjwau5si(Q;_lcnY_=jf&u_3QFODZhAWunPOA`z-WSf}JlME-_+vh=!o>kT<#ZEo zG92ZbnnmO++#RQkjiYzec`uCfzw9hL7nNDB7_lnub^S);%>4X(5I4>%eT1}5Yv(-< zF0KzvqHU#)Ks6b@jv*SSmM5TE{{fJ)L6Y9HT$W$gr{q|67}g0exvrU);+1Ogl^q!; z)V>jh7ZV6(fUH?~jP0}k>QEcNA}IA$U$^=}W$<08W3((76{eBKJnY*%!vqqM!8e-r zfx2R7CMS3J4o9wH4BpCAbK;j>_lE-ZDwl(GZEbgFje(8m%5W%IGgn!7O_%v}=X?W^`-N3w|9 z#TX}|;Lu+**mh9xqfVH47Wjy`a}5x##-5)g52YpH+gS@$pylH6I5-zCb=$; zcLO_MPiiRx{rxTV_3;iuJ=Qh)UPt%t-HRwT&>F#9{?VZ2CX|AD*wN-wAYjJ+VcUYa zUP=fz?R5o0-hz`C(G;O)vtQ1?w2|<{5=hFd8wBhn6cr!u!`8|%q3DUaPYk@G zpgq(0rND~ouKK&SZVfa|NmAgC-%2T}xA2?{2M)IT&8t^EF%E@D!epnqKqwt#J79fC z*LscQ=F%Ep9*+K~x%&|v->E`>1EqZnr5hcOM zP1cZbO(=m8gU=B85=|Xoi+Fneia3)El5-NKPkahzkB+Z5(K5&8F1>I&o`u;W@o56$ z-0&D!w~Gl(0C62ZOP~^X4(+R3)R!0F!G?u~Vo=%Wc%715jxkUw`+FatjQnlgE+0wC zP{5DL$v$D^{F9pWHJ18)fH?uZ3b^%!8)kFZULK1otjESZnsrL^)G6U9&P3qSugl5+ zLkFX(eLdhU8m-VW-lbQsNVk&WAG&*&Z3|7Y3cy5rmD$11=i82@pk}5SvLdKBT}4ez z&7$B^LuY4UW~PpN`wfqXhGP)zW&u2QW@ctSI=^H1a##i|mj+Z<0iNQR za)wn)Xug)3x3gUgRMiYQ7?`-=1+hjd4Yt9ZaoN!J@>=-_>E2_)w`!hzBM&95$x>7 z&I}Ue_A!4{QF~Fb!8p_`unf?gpk@$KVTIkS`l-Kv2WlmPkCxvjTPdP;H^<1#{CR&D z=opq(R#qoZ_LZgq6utQUQw23q7kvn2;c5L<=_*?H<-={kpZYM4B0B;IYvPgMglJsu zU6@57Bf39Wc^nV!%8GTl7n%{TdN0ls?m8#=N%IgqH$2Jh*%3_5I5fULo=a=NeHOVM z6*ngs6vwg3%7{$()DbS&z4=P9G)0fG3y8F!r|y!`qQ>tj6rz6Uhj~1g2-ht@YoonM zk7H*b=mh~iFp3~S^c{uio7{h(^VJ?<+6xRS0Lvq<3{Ibeho@?XsN#y!mEU@LGHjYf zQ>R_g33_pux(llXmJNvvv3~HvsmC$IOs0`$BQ0lNWg4f zEb{F#GPsvw3AEmP{~YUHJK?aBZ|q9Z^Jbe#1Z;tTokcfpEPmLqho6DN4Q)Yapp_I6 z`H9xnMa09%uUuTFu&o|G6dGo_j;pk-b5pkU2_3uIJnCwBaAwW65AaZ>7o7&`H(?Ux zBd_<5oo zS!bsgn24MeW*n4)N}C)L_tr}A=~lP@@x;`VToVb|nP%n}soX(vaE%9f{sXKqo zprpI2o!Y8)<;$1qE64o#;A)W5AWw0`9z@eQ^@U4aRTT<;13>BtLeXFseKzCfUVrtD r_ut%prP8!l_Hh4|RR7cJnM92;>Ds7|tu_5Wg{H?~L_f1ZAfru6}il;XNv2 z>8~`Zy1PfxckZolMtaaV}6ZfmR7 zO)OEjK&vI;EiefPgd#N77C9^M>HY}6d-LU| z7ZiH)g#uRqe)A<+6%TrIy}Om>|1B3u_t5M25`GXiDyue|s`k8(UhRBZ{AX4ok)u;k zsoLiC%--30!Ty^e*S=*plyA8z75U(@;o;%KwV^ONvj*2oIm(E-I+qxX#cYWLHp+hly>P2es6Rl~`RwlYNvE51wE-rCw~I#XX~ zyFN@V5&tnEs49X=Vb7=4<@~6qH~ov?*XM!6++1(pN)(JNFD(^Ipg?$RR%pHpN?&@J zaNmRMDwaqca~sO}X-{XO+!U8aodNF=yIPC|@>QDm|&E-&fn=>-Gv7w6{oPIk3n)vlLkzrOLUj}&Y#Ee+Q>9d9>WC(g4B zR0R6_6EK-5<|&u0jTCU3j+Ztyy)UUGmrR@l7d3jK1is16&X&y(GaM^UPfgWM6$qSm zIi6ZrSg@j_xqSTT(F}5Zvy-I$q5S!3xmn1#oA!@?(XiQNto3mLY6{sh|S*U{(gRIV6ISMq)%oTQ<<8Rce2S3tA zbE&va>YLV4x>#TfK#j~b%g}R5iy;x8uilqm^6S!Nukj`~jVK(-W_3HsSJH=jPv?D~ zcvcsOV97Gn>r3o$vun6I%Q18U8*y@Ue!Oi>IFcbw0Q;_1bM)i$ozo*AAe+;5H3yG+ znP;2_KGN=(TOF=_kd%}h&?jIp_(9`*G^T%He0H=c3b(VfyJ#LARn*YXC^4L`h|LsA zCUNP#WHKFZxfb>!wqcy6r=UO}I5;^2_3zZqHv16Fls8rCnjtqT;_F_#6Iza`K{>r# z^nD)IUmDT%0*RNc`^5g=9e-uDWxnX>mBM#qreB%DJ2JzA4sqxnS+KIQUNm;}_DW<9 zSYBW1r^@G;nwkPRJ-j;KCMP2UGmk>xGZY*B)$4AI z7ByU7or4n%s97y>tbEDmy+fl|_^~ltHWTNKatn7n$0xdWOCYZgA3XS@0!G?7nlO)Y zMbXCR^M1tYe6q9D6K6d1ogYpau{PK0e_?zwG&`fS_%nk0>V)LFuaDvM#}6LZ-rn9g z5dRo@{Qv?Zux07Y^Wm>$1KQW!-QB_7$i2oKKsUBCprWL-vaxxU(iTWyK3=-o5kg{K zyL4FWQHI@Yaz|}L7H!y1!n?># zUdxn)YCO+oMI=J@U)ona-kc z_?K1gy^Rf%D@~x7&$(T@^`GM4FxjpR9RgoTVO?6#Ayyi3gK>yB6ksj!^Ckn=M z4u`_sdu^YvG+YiptiF*t`}XW=RL9)B&p!R$y?Yn-v~7{KwH*5T`Y_ao53{>b)B=we z#DeVIE)Q{MtoE10uWm~f)b5Fp&PPr=ez^Se9V>nOUvf%@?rxRb@JB^wLgRrI_4nVr zsrX4AQtW(&D^p_M?6oIqW`CkGjv_rnp0e)v+{y~x^XF#cbASHq>~+!XcfEV}?xKl2 z$+=jo71foMoZJTiOf@fjq(EbtV8(I%&3w9q&tsx$`V$&SEdwe`oZW#aw zRu$uz5L3s~!{dZ6G%qhNGgDtcz`Lk*dV0FKnS_eU-|ZTed&Q_WGbAo9Zr6VQ&!0c# zrW05DecZsrfac_x?;#8pIakMM_$8|9Ywj$5rui#Cp!A0Ro0n? zAs@oX#4{uke$u4c=PcMUz27FgAAq3#l9Z$Yb^&RHFLaZZx3xw?X^>*kRJt7dK!8P=;`Sxr|ZSZbe&U1AQKZ)o31vw zj&mh2cb4;QoDMrY1tY{juU7g~t(Ur2f2Vf={W~QNxz`Q$B(mIaAY*kPGc!GX7eh@| zl`=s6rLpn8TVA?~1Gek0wwT5UH%Ss=V&Vbp<%$o^&b5snvz-5H(LH;)&iIfBpR4y= zmtOAeF!e?5%Aani9vhFAdlSxqJqg4(KiV`VgnqNnSsVXmk9jAbQNc5&7fn(~=;ZQv zrl*=2MmNQHd3ky2MWv7*epU4g*lb0knDB6&i=3907AvbiZga0v1_uY%^1R+rl~C>M zU;vp>JFP%PM+bIiYip`z=F>9Ke9={lFQ#^T5H?4cl{X)=`Ly%-X2rno-@sL0AC71U z3JBn5stBbvVVr%M=6Lt6|A76a>%4=LQ_j%Z&vwQM#}8+Jz9`r1c@~d*>lI)zqDx^N z;Ogo8){u)9{(x~CyS^SsKOQ^ZVX}SBqXV-cPiTk-p6KFRwQ3!cS`aXdmFV{+aZAG6 zh(A=AO&K{inm1g^_d4O958gp}yn{yA9*Fl2_UcudeqW+0DVZ;$!7q1ij|;FtZ6irs zF0t2F$>6{ul$lf9u1@tEJ?{DAyfGRroEB+5-xzIlTeUsf82ef4DHTJ=ZYNeS zg4wU1C`P$91lxWNNfxZom7heTf z_!A97;Cn5$CaX?PPS6RMcA~fl>GdA9Ti*BlX1&~d5hoc#rwdL6IFolTPLq%*~ihih~*jSkYWz(*#rSZb{g=efGN!qa53uYhOM z&+FyBzG%K40=A>cauUersSj8r(jNs9FxzcScDh*(rSSXHF^4Fno0QSNE3w;Dz7oIx zn9u=4JK&PNimMkXzL_*L`=j81k1H`cDtC^SAX|<4yhkpVm(kF1IgN<1^2)RWajA#fi?q!g2y) zzza0sFZAUP=4NL#?WE|}lk(N;jM#``aPjb>Y%pdNta75WsQEEiqx)!COAe zdFCJO_5y9$NH{-O)vg_s@j@=c$k}2DArttoWr*ELCS0L$DBh&G%Zl^iFj+cKk~cWv z8^eK_-mjW>8&kB#5=zq!^MOEoALG&fn3>T??FatwO9Rno%iq>Ocl+X5=?#9pASO-% zVd+)d?VcM~88g;15&*sdds}8d{V7v8jO_8_$AS2avG26oTK#bY3$_O``$`Q5N|p1J z^Og#{wAv;n*eNNEz-qxQ)>c+~$H&_v1v6Kd=TX#3GN&I(ii`aah!Y?I>~+8na z+Oi-x`1R|TT8&-cGy05BbC?hrFE1~<{gw$xF9cE_K76QD>#z%+HUUl(cyAKHAh0>p zeFaSz)%YN!i(@p#!N)%Xfwb+`#J7_^Iy5AOZ2~5`dKi}$?S zoS(m__ckOMICT@(lUWq-dF`nMf8`ekjCGZ@J}@r1n6KkN+Ue@bwNBlVB9m=mYKn%6 zsz?sQp`xNHQ&y9cYhi;HDXOSg6K0OAD}motR8$fq^l9-F$z{Be;Si@I7746tr=8gC z5fNJ{2*ALQo)HldBI&L2N8j%M*em{+Mw`$1Ckhx}!eZfsO{#r#*G5Ub_ z&3-)IPh3JmlkDb~u;P-Eux0y{_mmUn9B(2EuGnApuHj=4b+Y7f?l>$f>^2^qVa;C{rF*>Ojk9 z%!K>;`sT_$32FQ&BqE{(#z#d({XH=F$OA2n`LTJ{KYaW-B3~hYbx9DI+WU<~%3I2ZLDoNI}7Vd%Elo8peuEb#ycy z^6BjC>|9)66ZSlmtVO=CrQoC6!WoIy5D+Orxq)v%Sps}S(uR@F>#!9rMZ+?96 zV-EZ!qh!N1lKN8Yp)EXJb2$E~($R+EAauwki{y5pLl(*RRWL#-xQ-zJ5&i%Siob?1 zVjG0sN(Q%rK?A+nQhoy~>`Pr9M8O#0de-@ttvWFb({xfOfvsP~JR~AQah4^h+&pu> zeYFjJZznnU2|j16(FhI|A#|#m9||=)-WnSl4faPnT;+2)L*V5nyAKy+qT#Oe5}~4| zM7~)~ukXL_Ps($N$7`GMS4AmD|xIXo_yXMJQKg6d%5A)}d?TFvkEf-n(M zd6v4wa+7cL`fJKcWBU5C0~rUs>TIjYOOOSAFum3>_E2adDNi_6y5%U0#(OHhqZ zUjF`=T!ihG=SP<4_|ZN&YH<_QAHpqseJ6Kj<3&Ee;v=w`by1@tNJZejYE?~j2Qtst zyML$0H~wI&$^_{RqvafYSjnAsywuS8>f+O|5{0lT;qgx@h3v8O(hc45OR~%2@FlLI z{n@47MO4%;7?~s1NiJ=ytTDujZ1zj}>e$Gq>-So`QHk{#Fam%W|HG)5PVvNUC8dZ5 znKG6n0v5u;De%c+{_W+4M1jCm;(xhEX;4_0hb1$vc;f2laiwM3U0}mAFKL*MLeM@7i?T)D*MEp2qU`r`6COvs;t1 zwYA+}U$pd(c=qgB zZpjlltKx5FbycN8D^rdRKu8Iu!6W4bZLYao4nlUNKSzx;-@22?6_+3`oAH3qa+q2~ z!gZ;HN?uAQEqL~5D;@D*KDE0oFs#Pr)7eG>d#OQ4@T{Mo!JZB!CFQwNQ0nnCiKb|Z zLT+*v#e8b%W1_@Tqr-!-J17R1jxTR!AtL;aOJrk;ot$=OwPbeI=9JDe7cyG(gDu4i z?RtCbN1tJSz7FSmx=-lo8mY``X)fnq9@(!xbva$6PZF2N7%TC5BnaQG7iDE_6a0Gr zarg0_&~0#mLTJ_s4vokwpt&1gYmGD&WF-`GUNDYB>$3nTTqx{xij z(5d&Z9WE%S(-vf<$3EaxsUXPd8Ss*m&xAT>> zB->=vm1Bh6VCDo|j>oQR<<94?+T7P-iyCX2eca*=h)?PY1;4ATGtl2GclW<~#o-bk zB^bwyh7&|-If`rNbalFXH278_ixp}}VgJB%T^z;d7ZcTQ%zjr?PTZVy?e;GL6h)!z z0TYW|;!)JEcRe;II#UV^U9=K{Ei=%=<>GA1VZ-YAUn(wvPX zZjD{zx2nl{JzpN;J`;9yX`Q_*H(R5t^D9rqBkv<=#d4N((-%?k^vX(9b=jD3o%P@8 zs1m9|D@6B=Zu2^(G&MElC=^%`DlC;))u(++pZdBooEH~U7TOVqxLBD*H@XPEK&s*R#+^z+Z6~Mx}4YgQw6Q+2i|LGrSPNsQ4Xx5omlGV3ghR8LaFxgZ#4_o za_;YEXCX{X?xInWuG-^eJ-oZ>+Y4g-^Rcj0fNdQD+^WJ*n+r|ov6Z#8EnC9kWDqMA zRhZvMYg{NS+hN-L(Y<}NXA3`*HL|LRG^C*)mdqq#Vmty7VqA^XR!g`nGL~}AP^MXK zUf*xz-w{s*;Yf%I#ObSe5I0%@onmI;E(g{)OkS^6j^qB;(~0V@KYUglcnW;X#dAE z@io`RX3x79p9-Dqzweat{&4+FS>&Ns9bD&fuOM5blJ~&Jj|EoEj~>`#Dd&UO$ohjl zu2zCEh;1gB7pd;R8!D$G@{I&mrd+4l>^&}WsXm;N(GBeneu+h>I*mpqfwkdd3o9Hv8YNp$G-8&V38EmcybQ17G#!)K{VMd~=@TCA3m$oSU2b;0M|GFw!CC&%1hlAfv8tScKxbgSf9$EoQU&{rd38RvEk%oo7?Z75%0aj5^LB^r!Ttu41PdV zT~w+-uv=1k4uwju4`UID7c{7+NatmEp{jUN7i!`N!e;jD3#DT#}SeaiRhs>Xv@(dY}8 z%gQ(-NT}c>4b3Jq`8&jj2P81v;!-x4dY*EriIQ(*wXI=4>~ljIolK75fx+5n5nS7W zh0zcu!U8jzj9%(})4w-v%-~qM)BG|~fX^Q%BvsqDZ78SnAkw*MZK&(QZ<=0TX1Q0( zD-5rp*=9v5W!Il3%W_`-;+8wuc{W(;=Q~4niLULMd~9bcBt~O0xnRO^Zni_&m_5(ut}p)7Ub4a&jmZO2k-Sv+1NJ@1i}Y$8;DY)VbN3Mbr3w{MIESmJ+Gm05ZVEV0&BJPjcdK zkt8G};@lo7DX@ogu|NCza2e%+r!=e#563F1$ZPyat0MTiLSIw!8{rYvt*HI|ebVW~ zzLLvt8P@jpeO+Bt)YPw12$;>{Ii2LWy88S3K~}!kDfnX%;1kiVs22-7yK|9=&J;&% zd)Lf<0RdRHPSZ8^eGKvH1yLV~(kBz2(r7fePT6dpsH>AzMO0m;H-CPBL#-$U06#FN zD@`-A{M^XxnT9?Nly{N)Z#9+>0oTv)8J=*0TsH$+MIzXu)-E0=*1YPCj_EXEB_Tm7 zPfH~_xyfoQ?`uIN-=W#?)MD&cx~MNUhn*N#)ovFkQpK`Z!ccG;J39?8&kirFG&MEV z)f1f~>FMY~!@?HBzPfky7kqhk?aQ2oXErZjIscqhW-jY@UCrpafx+l62Cb{bt`xJr zls+!1A`j~&L=7iBonF6RW?k^5bIgXq`!~27Qz}}Zxb!+{GN20p+5n!6FO?E}g#!Sp zTF1|xo}NW&kGlXq)NTDldki2hVp(#OhI6r@bdeDe*urIBV~W!hWoWMLlNd;&CV$M~ zJ-R=y`Kt~25#Z{2`}S=c$6_#;rM$enoZqNrdO$kmCqjVoU^2dquzg7Z9Vr?#$I>#F z^o{BqmjAt}l&4Gf-M!MQZN61RYL9p zNTvQKC71Az_z#Qm|JjEA)1ds{VmAq)(vFU2pvr#W$hi)G<$<*4Rnl^je>on~AVk|& zVz+}8X;%O-oDL~y*xK7;Jbrw%vvUHdKP*Aou?bj6&+;R($q8w%-E%1{;Ri^pztYlE zBay{&4v-$|FZQ}X#ZV%Ni<6q#1W<@f2Eri7%^sC;kOZh`U0t1${w;`|N*j`aqX9}5 zY64GrfnRhNqbMQ2agcr~f^bmH2PmuS&Y#akfJi}=pP&CoHuU~~4u{2NY&P5E1;`st z78VwDj)x%M1PlQ|IKa0rmg39-^P!!My&vgl+*wJF;g!U|`}#eV^sg|Tz#%|>oIr_X za&i(>Lw7gt+<)}o;lopawvAN$LN73K-?P&L0J{x=ZZ>7 zMM5Gn0I|ixx&@(4+exHgW>&}?sH&_il(-9V7mBfkgRS}M?@!NFT2Zl#>v+6nx|{F> z1L-wQUf2G;R*>%jXxpeir4^JX70H_(A=il9=r8BcTZK=>#hHG06d1PMS_{jm&`tsKUw7QS~S|fhoec2_*tH^M8DwpwiKz?8fy5_+LicNE? zt>qav{e(yk3LE$!D6DmK2$d-l5fWbX3lf9Ec(koR=#9yXmbJQhv`}uc`+Gjad0vem zxwf|R(`i2MU*-+(x<%h&u>l&Cg2D*ktpW1T3MiQaTMcRoS3ryac&xNcdJnmK9iO#s zL`=w}2j9;R1}lcS(6AlQZ9YsphqqWVXy0Ew3>eUs01>-7s1isfa(w#p<5q+SBZw&_ zCHp}Au24b*i48-7G4359J$UeF5K$`{iNXHMwK5-dyNq1razl7{Fb^(Gakuzm3uQ4t zzXNq{AYYOqBI7_P6FHqIPkjpNj>d;_6hNvE*lk{3UQLS>v^Vn;Idn|n^LZ>D&$6r3 zx3svJo|%ajl^Tq+@V=bRinUKf(NDaL2Xkw*2UFi;z#Mnn$IG-MVyQpE55g-dj={Qt z6svWP6sXlOk&vWzXV#z0`2#N6hswdb-r(>c9kLOQDL_&PSuFl2^?85!Qdw2?Fe>)1 zCsfto(&z-|6uo;}aANYSneQxMf!~)T1r)&<%qCAxX9RPGjLOF8lC13Q0oy~DixdSA zMU?Y!Fqa_^MQ9qiOwJG>Avz70SZ#TOT?geKP)7?E`}*8w?-jKFjgf&#K-V!TOkdw< zCh>#1)wdS56u^BrKR=H;l><)K&aS-WROp|w=-!ecNlrrpOMw-?b6RW0=xqGVD^i@& z0+nWM3wSoavC++j*01@K5aMp~`Wrb?R$eWw3ZEZI4?ceVWf8RaAA#N zBERVHe2ubIsjXStKl4C8#H$l7& zvYA2t{-Pl4ady4{QwKDI^8rcjA_=J*HM*GwFfPChv%v7#?Q#PHdx~|tfG&$o0Niu9 zK!e+AK}g9offR;oSL9k@EK(530j~wel;1wupPI!3ShRw0O zrJ@p*@4^rC{`6RjdU;_X+7-}ig`bR2r+}aoKR+u=Xv0*+vAw)-^Yw0Vu0?D7^`UN4$*vgESAYGhyz@`t{Qt$uL5uT8pTLc`j z)r#eP6SvNf@K-p@%*^$wKxb&k$OPoOzoUN=FASY!7Gbpfgy zts4846I;xJ{L)d>V-y(RGJgL06=R(`arI<(9+2}u;el7|k>J5WgEu<=*U>sBUxZ)~ zg1~Gb8yP26Xy8R(9p_q4_o10&E@*z^yJH`Q zg=198jD`TA2m}O8zYG`v?e}8>|Jc?{gWLM>8&EHVEe(xHI=%FpWirEJo(>@)eH=Gc z<4+JYU-{?HQvicuF;DI-k~a0kkeF2l1Splx8Pe!*YfM`FX1B?rBBIa#Q-s^3NG^Au zo4eu5m%F~6DbaAG^1Ub`V9qjD5RrKPgPS4vjIPY#kS{huj7q*x9Niu1yg@1ra!jQC zcuK&X7#ijuWi0FAZFRaxQ=gnFs6=}2M}R=8rKP3jzohQLy*m(@>Q7-32{4$I6mG4s z3UOEg2I*0T=S2zkWeXiMgzT@_A1R^tfnEno+1Tv9cUoS_JIF}P-I7tm#?~mC8)ww> zy;bM|%)fhX^51hMrOKJ}A_Qs8yNFV~zS|TiH(L02UK%XZ6`3XjZSQa0@NR2km;0*W zFndqH@K#~!-@1Z@gbTnOX;^qd1-0+tI)4(MTMcvuB64#Le!r6cbc@#W26Xs4`G2ZX z7mLr#WL_#`t>Mg@r(7iT!2R`K8}e6-91M8bSkHv#o$U!!I9@Ma#EK4N(u<+GKg*L} z-`qr&fZetJj^xwy^#w_4G4P4Yle_Zpb?CcM++Y5c5d9b6@%OX;1w2TJrTm?8|2tg* zD*zzJztgGz*VsXa&G00Mf9cmxFJ zbN)207rX7bvL!soK!n!QOh`mIZ+K!N&K3s(X$4PW1C&C*vGRUQ6q}gn3JAs^dmyGt$z7BJtG4L z3+sL8W7C@Gg>KA?=#Z*e7rvu9RAm7 zRmI~}n2hZqJxGBD#-m3IId5>^s*VEQ5Se&vp+wJZq^JGy2t4Soj1O^Kf7$`SY z!NrXNEOQt>hXd`|%aCMnT{43WUnnxX@9+x{fX}#HyYTS1dwTK#vbe9oXrbop>?~n> zQE%66%_kco9MEDG8WIDIpqF90x~1mWiW?PA`>z;jOJy2MS7z&9lCIEmZ^aC70W2V&p!ls?ZRA=>0+$23!V^_*%s< zf(LJlCvuF9k5>b>I~Evl zcc7j_rGc9RD9!bHm9pBL(I2*iw}8?7K?~>6e+_g@Vg)`RZL_zhaWVD~jd}~h3EIw| z#Xt^TNUq*{Ol7zycVJf`_(^G1^_Y5@cAqAB{F_QvL>coN{Z z>>eEGgoJy6d2~p@@AfFN)5OFFytzK(u(mZuMc0kSqPSiCa`h%i^tv=G3X|P^7z`?4 z0Bu^81zY0)#6;@ecW)koje<^%aWaA0^)37+5z=NiYLmL9*W3kV0UhkSJZQBt;q-P z9f37c5*8&1B7uEhj6Ss2bE@AZv@Im8Jv?|ZF*K^kW9Q{a1=~Alv3StpWhR6i7ow!e4VyE+t0~`&ngSH1 z!!Hcec3r>+BdmAlz!g#@=iJ2b5t3TU^A3nVGJkkMwIK*^^S^M{p{@*~2vtr<55njy zfKF|sH>`KD5oe|Kac90&qu{KFv55FND{gfO>!o0kRwl+Q#fkD#b7FD)aOZvBsG=gZAM-=( z&g+AkQ8*Nk>X&4Ht@otV0g&sk>+h?D{Gm4g8Luu`P%n}x$sWg~N5DYr%)`&m;Kr3x zn~Yj*n=0GfuzO+l?plhkN?#wIrP8AlhpotA!zYF`Upij9NWztu>Fu97pFloe-oH8k zhs&pJi=&uktw4vWc}x*2VUoZRH@y)sx=T>+^SF=#YiS|8>TRUg9w%j%=^r#v~3e&b&tbgIilG za*d3v|DmK%v%4=jyK+cS(bIe4d=V*GUPZflnrfiN`RzHU;^I9BBiPD+=?bFbK;Q`o zF#&olEG+!_^Jm~r8#!Tctxv}!`0qUGPdwggklj&=;bgQXQyN~ufZX*4NBbAnqMDzZ zJg^F28KaT>DZo7itu>|QGh8oT`~kfI%PguUA`W1AI@)|rM^ZCyt1<%R(~{_YxGuv# z$UvmRk_kdX<#P^?j`VJVG~lLjXw)wNN4+ol-8^su0DFp}(Rj{mHd*^=zy5TIU^rXp z1zH?kJK!xHT}J=%fBZ}(($SknLqdLu8~+w0{1)(W4EX4-FK$ClgS#;90YW9f2#!D& zbmFtMwFP_;ycCeGLB>Td-g8??ohT%PhLh>-NU?-o^h3xX^}i#A3xV*+$YIdmQql%E z0Hm*8(RQ{MD@`LY<3!AVd&Xx_+s*Mqz%$ni1c3La-B#R~1?@5F0w7s`Sb?v5x`y-x zcu6>bb-#xun<+uW}_o?kGfHIPWTe}B*1a`(nb zHaWltt8I-3e2~o0?iu-|1~Rc|i@gP5!?0p!995wDQlu;1(ZDVN+dL2L2Vv7sx6c5+ zV~C;fTb%lezz&kL&$_ZTS`&WVvx0wS=Z=pu^#t=TQ!{TpcOM-;eBZ>z<^aS+;1FMR z3BCk4J)+?{!w|ROJPv;!gE9QPu{sTd?TMK)hLmSAf!6z+p}E`KkQc;OtZ$ZB%(^1q z07fPq-lMj*flNtUZ0v7TPYE-+IU7g>voyFVsR6~cle8x#X+7RWtj0b}`E3;SE%%@A z|KWWPI?0o$l}ocgrv{Kfa7us+3Qn9B?-8hh{N-5tt>;)`Ibu-Jd=aV?CD{BKA?+Vf zU#7U6uS97WoLICyyUp|Ae{J@{-iISe?n?&H#*~$n1%M&Yg>VKM7bS#*0Q@H`DTxf) zfR9d;)p^z0@&x)xQNJuLYkrV168}-U#;JaVnQjaLL=NMhhm7n*X<$?by@w!Z0wmk` zgai=%U7s!|mE43&E3B=p*fgaU)h-^@Po%lV$Ypl>%9Ia6&bS}-E|MD+1fOiZOrsgg2dK_(_R zyuXUKtxaVxSYu@}Mpy>2qdIEGmsW@bHJRz@!~PZUqGDhm+327_lNS!0_Ef!#6A#Z1 zKyc@}I?-;_1|6$c0Qp3Ce#_a6wl>Lk)A-My*ikGP08aM%8%pQXM zj?V}}qSd-%_#@L7ho;|&h4c0v9t+)i5*j}BUMpx zF9}Lh>q9x@4!K|^MWz$wAQL7}0sP}cKtS%IX)u|r+y$XH5Zc<>S`eL6I!GyjC-0+S zWVU}@t(XyEaID5L9o53bqY!CndVl7q5Jnmv$(s+?;Xez}mvlPpu-42uQ&?pE9Z{D~|)*88n}~v-raU1C2CE>IE1W7!@0?fNS^au9MSv zd0-^7;$h>au(K$UUrpugXD4oH&}U==O5Qd*AC0yB6LW{BR*MT56Il6d*ZrWFJif2C zyoIv=2997+O4cBhqNdJ8_HEVJ5z*-gftG_iw{LS@Usy})KL(ApQ3%k!q-nA`S+x%= zZHqqzW){g)5%y(*wna9qs=`vGO*!g z|JrZ?I0#8Wd{v;|9c>A+qSDgRt|*$XppH3R`w4{CfeyUugW1}qrk8&j?`U^{u4QmQ ztv3(+Zpmaut&S(qkQUO;XmmtoS|-2hYp|^@A`Z01UH9W}^bi>&D*TWtkVA_?k-Ws0 z`?g5(IH2VKTJ<|T3Z}>%439U!(leP)a{!YG`gFYjZdy|V3>*h2D}c@(z$n8ZnFKU( zK0ZE>mnZ_QD=eg~-~H3*i46S#Zq|aJpaOhiOQd4oX6z;-50Y#6RrsU=1)erCusK0( zeW&ozQ+vL&jYLq?dwRFMKeBoHaJ4*AhM-@Z{O5C`OVDqVJMdIO^QDVxS{-@%$$)3I z%}4|tPW(nxSToz3*|hZj!R&Fge2kL(ZBrAZ* zd9;Jp=?RcIf!qz)(8#zrCmQc## z(8fewkW(`rOQQ%hs$9(cOqsl0VL1PqMe)Gm{+&FHB+D&t4WTYeLQQW4EWrM5=l7Bj$~CVvXOr9++vlYxmD%C6hS6Ao21*mfI@S2qJ7qI zjY(4s*Xw?9b&eC^w^o&*hh-#VMTA)S%55+&0I21bj_=27n62BTmxEsnec6?4n2UJU zhQyzRTs1+96>!>;!ottkY_bXpwn41`AgvMrYd+c0EV3@Fps6nq1=s|j4D9diy{fE~ zD)R71rRm0ZHve>ASK{>OJZ569g-f^d{HT3bgMnRCQ+!ykV1~YRe!nWkI~4_k=~(Sp z`09K(P30^JL!Ff)ZgPtM5iW6(xG>!QL{RuF0Hn$Yyr30nP49QA&pE625km0@^LpWl z3e0wCv+PX3QMasbB7^;891YAITF&B=t*%cLsA+EviB>@T>=k1+lf0ulBP@<>=!D<; z^>n76oNO}l>QZ6r(sArVPNOFrUBAAWqx7l$z5RX3!?TmRb~LLF%khdC$%*N(Sf)4E zG%_+WboBIxj&+0j3mYBZ2w)kUA)1$M71QPC5nPYbvJM++F$=e5=GsIhXGV-q&sT}D zLwW>_BfpLxbHDoi1})$gH!5*m`ZZ(hsODl7u|)5{mx$_w_~be3q$_%wloNJgVb~@8 z_0hzf*Otuz8)Kcg`nS@x=xV|G#-nbq?LxU-!E64H23Besvdo`MsR){*w6uq@?C-dp zd~=v(JllsH_Jkfxi8ZP!kNh>-*k0QwF6_#W{ zJaY;zWIY_W%qHX)yN5Vm58uqB2f->043AL`CWH9siYg-p5&k82F>StVJE7R14P~>gGb?AC?!Qlh#4oRGE<_6I0*C1n9Z}@2*(9;DPV0duLH{hJe;*P;*H<+yMQ-n;RR0 zMvPDpeu0*&rM)l{CzyRo8=O@ld~?%Ww7mSj=jVAASIH+1tnBP>hsJhh=$6>t8ZOL| z$x~BN%~h7xJX^iq#O07P?ERdt)jAg?n>5+C_eY2yj{oy8FCB)0@=lBNmBqb#tn36JaYZg8>4q>MvAZV<}R5r!NRhUE>lhJ%R_A~^0 zl{I4gM>e8kM#J2gs%be(UcW6p-J+GV=BurrXM+#kxiIgo=vbC5n9PND<#F~qe2S*_*3jhHezK*{eCCgQ$H!s)r~^cjVCoZj3+FHhZnCm0Z#z< zWg)HjZcs-7Z!}p%zNuuPidwPoM|*o_Jg&)fH#FjMrckqKIV_^}^emF7w?9Nw=m{5$ zhJ7P7^D{-9O1W6B&~?N+`%c>Nr((=eqtpwJiE-Eoak0yk=~Ex7xy9IVbsvbdOqIH}kkkDPp~pCqKoN>zEB_qswO87*Puz-!6e`t&q~ ze~u++J|%S~<-z=S{uAHphXMlmgWV?YM>M{veHHA*q3Nx*?c->==(`R-_W6tbl;Yq! z^dPby-I6e~-+;+vRBE=Xd@%8_^iIl~$;0)zjKfyk{BW~?=&LQCIq$As*QCg2&2LIB zg(g9}$W+61T>HtAO%*#))tKq+%n^Sq{oiSG5k~XRM!bTUQwW+(-9F^7!X)x=c6sUy z8*S&02%%3&Gc=kxEwdZ=TX16rsWovE0qjPdI9qCE>A!;%HZC%|kVfc^1zaEB+QCP|TUU zpETA+r1#47kJ;4s9m$J}i>EE@%r5tiWS10pd0j|u(!ZMgGE125<<;$0gtC|(- zP8&8gV8W$C24(NLUKBYr1}3W0^5@MVR*q-98W2AdIS)?WK|^ZRR#lv2P@#(pzi1jB z5C*-BO5YzLI-a=P%{VR6?pz4+(K77UYMMG7VOAY=8SJ;$u3VWNT=Pb0xPAk(?AvR& zKcggZ>lUnatjzzU<|H=K<&)!6sII<$RdZ#{arNocmbt{XqSL(Be$Ja6nByB2iE4K9 z?FP4*VwJ@b*D43g071L~QLP=uUkz6xN=kG5`D4*Gd@cFpx25mit+ga~29I$4>Oknc z;#o~cmVDU@7juC~lLb!M=hZ;`F$*1wsIj_3agtt<0 zU4wId8;Qd+ao6v0)V7|a>PDBx0!*6 zfv^=cMT6H|@C8_egoMnue?2}tEGsKJ+}$lIDcL_fBx1KSk&_F@n-%d7daM4&hqSh> z_aR(P4*u@lZ6A7dL`lLBzqYn0rMePY4RdvmC{2}E0;OH{mMmbOTfMSfC!3oc3y+A< z`}HDocV4)gfCb+kK)p#!_%vP=TaQ7pN#N`7BLcFCu6_<0bMtoLunj&w{wYncyY`M+ zCMFAe(Fjzu>=Z*SR8mW3INgdb4|RUN#C*H)ee|c9M-7VpI0u^*I@;RP)76YF#|aLa z>GX~ab?0W!HbKxqukS}NzUGBHnIWDEN{)fWHm_~B&8D;DEw8Vb4>w-xeT?{7Z?2Kq z8P?e)+D*$CpqgJ_r_&hIgSNiOll+xz~#d&qug z@Zu#v4+8yEpz;acA)yc0Bp5_&uYQ-wi$80i|IYtaEBh7{*u+(RFD(u-W4TXl0`pPr zIP!GK@;PtL+uVRNvx8kbXibt55`q2LCW0M3*50*$4G?84_Ak45bAlMB1a%X#TncMS zw4}Ps@IA124$yr06duFi3lK!NOMie6%gAO6V*)@dLkzk)ZVvvnGGT7m@kF^iASFd8 zGZn<%b;m1*Bk72@jR^!qM5{ZR$}_9y#C=|>-*P548y(>BG(N$7kqLp=F>HPXCL+u5_%Pw+24MY4fv9`5SB`XXE7&&@@;w0J<-vDtnO4ap=&C!#d65CI=?act)MvfyPhpg%svoA$ZpW2qzxqZppDKtWK2 z=xF2}{KFXWuN8ARpU|r9#C{C+lgRXk*1GdbfQIAw`FYUDOJns63Yxv00dej6w9gG- zFdz_-k@rY2JO(P}CjYRHq)DyFL=NGPfjtBCDz*T$&Zlrgsj~KIDw%7mLDyy;~!!Wc$>c{;Ev`UeuNuAb=g44#KDsb?5yt zeZ#pH74Asq1$Mi%D(jf??stqeFTWFULJLzz)`wzPP^ej0Spn5RWStW4yKLs;RBg_S z?{7+$fc68#b_l$>zy$=&YzY$5SSTny(y0RC32Z}KrT~v}UFZl=$X9*FV)4zwbbv(~rHI$vwmYSrs` zpJzXN-}~OzeO=dmZS?gdg9o#};w2^5-vOK*Q{)4oO5?pT_TBUaaf`N}d_GocqpFQ*HyL;x>><5z`Qh!?C91z;dP#+pWv-QnoiW9GLNG*dcIV*vQljDA=J%(X5 z-4^8#p)N$r%&r;`H(S!pG`5t(QRQt@lM5UrQcZi>JUu)TbyGQbdA;Rhn7p%P&atlF z!$Bu55$K^Ot*TNz7&<;3SJ~Pg%_=Sy#u@$O!nO<%r{VIga^eZv>SSu4ZSUewadc7! zxp!U%^iL@k|q$@LgO>deUxiztp#WXdbBSW^me-^@`Y?(t9Vz-X>eTm$B0>{KYJR;qwbbJ139aU&qLGQJ3}W>Xy(Za%bn+NsgF+ zdHcrZ-D~XmeIvN|NY$%0s@>TzsK-^qp-3%q!-{5*Mw}yQm*VcIW+5;d zx6*?PpnT%QdRp3Cn7yF}l95C+T;n!Uz2lmi>`IdQG23uTg!9c0eivGVZOQo>yA&si zR!w}rGtr>`l*fdtM>99)_5Ccd#M7ly{i7J2Ay0h8%D=zj73v=5;X=+DEEpz-9^n}m0fSeaDq-aabg@SKgUBwgB z0p(%VH9PnO9is~>Ot?4%g&D#^d1)ZH(6AamDS{WH^*kO#hp$yE`~K= zq}#A~iy!dL9gv%2KlJkYJzcn%XlZ%bZ>~2twEWL>i50(pO7(evy6G(p?(Khmf406n ze0&M0Hgt)?iimPGWrwc+F2$!hJ*Pbtz?vvt2vzWnca#;Qc6|C}z^3jN=J2t2jEU>i zU=EzSY*}Fy)zdP|ef1jCFarc6^JDtC+azm}YSvJg7Uc=`aHkKiEkyW;8QcsgG%)_mGO|Fb3fE{i1xv zU(_W0Xh5^A>1rysH?Ek>mQoyvXQeo(zT>iO_}v5-*yz+QN_x`GUANx&hrZ~a5$8Rw zs>(bYCb4JF9zj9X0bZ)>QFV2isT&Qv%7Zy;a%nv+#5ocZ;tk9{y%eW%JAyD$0;bFe z9*M=4yy*o~-gfN-R68@kd6#h+1Jje9jt*slT9kv}nU*fF{?{#xwm;{}Nj&*15r#@g zr3$mB?BY}-VQDiiv+&ao1?z+aA zj3vI~Os>5dz%ta7YWwW>wCr#jOpUy@0My0}H^vgY_D~?E+n0fiq?=K2a!jr4=2X;7 z!1Uh&5e8SqPdagqb!Lw_n{(`X0LOt#YgL$l3dcnYEd3M8QCct?MAe;Ca}cv{MBlzQr}RfPXXj3vddYh_5e&PMv; z&l%_spjzjQizx`E;7R2ah|Qo<=>EIwA#U94{8>?xCP8p01Hl@MFYWf4KHQ`)j5(97@-z*O9@_M>eDowWJm3|cZHFDq~ z6>&ySOxWw_=-f~wqizQTbmihkTU59k4b0776c!d1<<%Ldby27nM)2o;4&D>9Bm^i{ zm?EZCO3xyv3_ob|)FM4r~R6ofzYu0#QU7!|^ zZeD{cho4D?_28FW+U(;?3wzM~E3=gUK(oiH^q(cJ31I{qGU z8AY4KJ=sVNOUpfj7B6YV0Lf-O zG4-$bUPN6kA|k@@%Fkjj>24cPr_f=_anD)t*pin&`)*g;x+^y+{+ur;A9^S#g<#>H zfxBju+#Trlx_f#q>2IVdGS7Gx7k9~EwH(*|(zE+7;x7s@U_>8A(qH!Z^F9HA1`I4Q zi_h-gs?2r2L93|s`0?YlxzwJY&)eaRH)z!fASl56&IKNhpbW&u#ukjerCZM;?A#ao z5ZP+#Mg6U#pOym}W(np2CO7<(1g69sa4LY(5f?qt>v`SdKMa1t?2wjYLL{=66=ycjI^<#CeX;H?H(6!a3DO6HKHLz?#jluE=`BJwvGo9;YrH`z^Yt^Z}fPD+Z#A< z>aA>L_$u-e(c`7!?p;2LWRM1ur~ZN%>15O<1{m9Nq;j95#^jcIPA?v%Ntc;^%YUM2(>g5*>JKubVadT?+M+X&nQ^;&3eNG|Woe?l+z(RZ%cs|?oeC5rX% zS%oJfSeron%pTpMb6T++R#}Kt;>L2ERI|*PaXf#%8=Qi#sNoeA6~W64Syo2^^{_9- z=tkUUtcjIAL^8CTlSK$AA}1pwltlADva@T~F0gZmgAKm28f=}!yDNSFY{P2XkN`{K z72x-7R=ffbtneVLe;L0&PbYc>xLa)7q#Qvj@pSK;9kkr;V?(g|Aj#zq))oRM-EW+~0TZp{!XR zJ}T^WOKHu~&eje7jLRDul{5F~`}4k)yKun|&-{&X!p8=IforP!U} zu@e~?X+6s>4dNQ;P<;6YRv%j}M0MtWx#e4?>Xy})CMDWlWgzYKew&^c*a9bbxN+&k z@dsHOzP^&vITCXJevFIMJ}bn?Lwolg3(o|{MyXI90>S69dB}K?+MOI4Ii&}N(RQgb zQndT`V^ZV5qqCR|>zQc%#fWPWE~ag5rh39#8%4!jY(u)cD=)M>j^^<;PSvfcsnNW6 zln){p;COmEZ`6<#xVyh*;SWD_s(XGL%L|1V@4$cnBhj$>i)LMALW28wUo>CXcj}c1 z#9_P-*6@ywj>4VQG-IRwcHy7eg5-ptr@J#vua0?%ZL^w`U3~mDGbca4RCrNauu~|= z((W2TmgeO>iRVkya~L?@<-weuv+q;2$`@Uw3byuOOaa(7SBJ3!9_@={{LS)QFc4-f9z z@pbzInS(@}H;J6@9%nQ*z@f&}caD;roE;$-B7ROzTGqb^ii~UrDThhEI$a`LXLl=-v=QD{ro*LuLfKk>nGP_8TGlZVp~MjZ-_3+6o<3 z-7WfOxj&7_vBCes4$`tM|94+pBv&-fxVrm-iBdO&Zw(y#yaz6SE2@#%!o<{MHHV@dD)g7_?dzg>Qdo&YqaOuSw{(FU ziPx`FB_5|5isIfB_IF4>cA=c4Ze;WwqyqjecVW_Pc^sg+GFL55x9R-!!=&Y?+j%46 zDDah~c~k<&B$Qt+!P^M5J2-m7U={+vz&t!|p67a2bKp#WhNk36@C11a-F!rQROd&| z3ANxO@wFN*zjLMPaymbT2MhGy(;%0VPVJkR9m#T6R^Gjatl~`JxAO{+x z8q0&S0R8S&_;_KD%nSH;XD(_@N!REJdk9*CS*-Z4*n7+BPg=gV3@h_UvF&B>kRE*f zP$J0UcWDjxzIzqn=i1WGBr{w8IIYJbHN(TN?|A9>$xRvN@`dxy3{F^JquaGj5g_be zVBJDw;sj;mYh>j}>crZdIR9D$>bw0z~ zBjuI5ltC_l%OhE@RZsV>A;^1ELl*kXf{ONY2b)ybgJ1XGiQ|T_NUi&Qz}BUu`f)Ef zd+>w)&K=?WcIq6``n!U!4}$L@IpmEwsB!9X2i)HqJF2}2ywr>XP(V=7o>8;Ek4>tK zu}_}@cV9OrLnC7JFaqYEvsq<`hWoZ0?~0REYBuX}zjDopwPk2+U!!!t+RPdER@WQ$ zqZ_?bTHQbY{3dXmn*;SB4$f_v5uu^|BO`(}E}nsfJu!YYudj+(XPL=mQa`4$epF*2 z&JnOMTLwhpa%j9T-isi#)UzXnkq;k!fsh;K;SANVs%3-C|JkDJn2Di_5n!f7%3MSB z0@(29^J!PhJS2Am6v!{#8jC3Bf5X5v8rdC@3chl?d-ra_!Pc4SuGgjQKO4j^7?x$W z^6YzQv@S!Zlx`wsU=Qn62QkBa1I#>auH>wR2=^?}nVGiyT}7H19t{CZ#We_p7b-@aEmLZTt&-jBj*TD{Ca_m!`-KCJrpc->2pJ>jXM zS(YXRd3;-kR4a|%>1I`a z{r0AFP??+_$^I!uVyO2U6Rm{l`du7?g03@WnTdBFa`rd)+`LJloYd(1WnvYz-j9c z8+*J|G)7z|auZ|t@nDksyu-{a@2;Cg$nXQ5$eK~Ty}i8MTdA0_j`0Q%MX9wk61iP} ztZUBllgMk&UFjs3n|np2KQ8h`RW=K_i|)D_b&sw1WhS1y^J>2q$82cQmhL}5njAU~ zm3y52CrR~po)hI_V5B$Kzh8qBP~cyRnjY9(&Z>I+Id1ts4wb6r^s5^F7Ju)4NF0x* z>htp6{C9RAk8xN0_3%Q(t3z`90w-&a*F6;vug&XG+bB{|-DK{R@TTq`C zM1+cPu066bkrTQ2JxbYDNYL>DiBp$Xy*Y%^o1N86gur&ElOMA3D!C{ufdzVHa_G-_ zDLHQKwCsFDJiBQf=l9^oeX)BDER>kNC?y)gj$pOjdLvic~{dn++cC7zZ;Ya$d(vQK6nUEcC`vQChHkOUPqD}Imn+*J}N;b$Y( zMIQx692*GaaKOH7WAogw@HN`y;0UR3Z>vpb2`TaTEjN$l(01$z_ohew;?YD0k?!v9 zXAVp+mtt_7qr?>@f1@Kv6gnu1$<4z^*a*l<>K2Zp2)d+t^d>+()qLM0W@ z_?~?ODWGwFANIx_h!-RI<0|d1uR?;YZ^ga{>=lWwq-og$AQ$FZ|JbOOeiB)ax~qgO znN7~O*YWM^poGh)r9cbN;-tvN#ugnDgGK@(&uIr&|NBhDgpDNfZ;GZt11tW3ng43P z-WF$h?|)r;Oc!7nUbnpWnp}@KYGJ(b4)ULhU5fUScqmSVdzT#@BV?|*LnhHT1S2Ls z?Uxj9@0u6;m+%#2B}-%RcUF>qoE`EJ_#yzvFgNc+5URnKvLW_O!7G4W z>_p1<^5s5&V#_r#;ALO{z{#3=VaIJ2S=HSsfId)Ay5aO3of-@wN>MM2x5QC*aTam< z9!2Rs;VcMD0bcgd0#)ZSq#Qs3vT}#h?&u|WG;*gR^&aFdO37a^-3T~m2?2?2@yc&m zVY{5%06D%bvu>ZG3}CWS#m03{cJe2nuo;o$z(gOS%#|wGZ@yHA074xF65fv=#)%1V zMMH_A)Pw+|;ff8tK7ri?2S0OIM;}stK2;|tn{F%VUmq-O)(?=5(WG@B7GBP4kp0>& zqv;$Yj@KXm)5&tF3bp^z2J#=AnCj1w+vFCB^sf$<1Y-Z+SN!jB{Qq$F98`SootNhZ z7bK+f!4ne`wAQRXA8J%nPdt78WCvXJNetyl)9w2Z8Xy2!P z{(LSq**Nd0t{yNH9wV#YCB30PU%}9@9nfP!t+p8|7u6j%obXZXKbflct1o^oDTyC- z%-JZL;g|JksHV>1xccU2mO)=}slP&$`_p4fhd}=j2X`^TbQ2I z>Zs4FYfA5%wnauonG3(*!O5qhqCz_+Hi++2eo=h9c_eW-L3@&THJ13Ickj-DR9-JL zyfFJIUo|kWF?h0+yUirKo^IZbwxxS)tSnzbRW-AGeh4lgL}!~g{u6^OS%NY$h6B91 ze}$DJ^Sq(BF$$y0WQ+EFzZMjGJ_nXLnU-9n(@c*~tcxzSHvo&4a zLe{BYPj7FC%l}lsq2+rQ&YO~xwq!&&^X(&=f{ITU#OO!kQ&K+ry^OOD9-tW;ZxYo> z3QN;%6rCop`nWT`@n6O4aw<7lUvyJGcMHk9nB11H0b@y$eAJ_@t{px?tXWpE>lk^s z?;N|!t$NbLI2?a&BsnHVib8s|AfBoISz(>M5w8&mHI29krb zW=1(+y9CFLS)l6riZ4ld4=j$x%uGzwreBpDe>U=XkTd$nj~}Sb+U5LApamzG#96k{ z{iXKI;DP?uyt#l@H>U|6he6#V+)lj=^5iPt?T%Iz#!)L)fkMlBaE*)&hY!1DPj?xS zN}6|48eT?mM?A6XDYG^#g#I)7_`^q{NeaHbLs@1My<@j_Bm_zSzCAOc-m`Ug-D6Ry z>f*a~QILrly3gj=O}uAJw+f%vXOo(_W^J*7Pnl<@U!djp;#skZLn^D*HZPX^^xa;U z!MFX8t~&q;fJOEb@!?^7sQD*758&kGc~Ww8W-x8+R^($gkbm2*J~ZpVEiKG^s)-uc zZ+ChuYj-@;GN#16lrCw?-AmNUq-7=?3G{Ki(k76o^bfM5$xUs9lqC} z%wxgPf4!FL#}Ac#s=bOb5wTlh#SCNC$Xy(&;9s3?|6D4Jk2jjc8UHFxI5S)&IPM^r zXpM|L{+ziwc0DI$Wn-r+LNwl-ZF8?HA2B5K{NaqAiIl$sVK#3l7%)Trl{os4Rg`*LTIL2wW2qtykb^dAW#?IeT zSQuJa??DGwMn`BBwg}{ZS^ISr0e3p3qr(t8J3Dr!q^r{gB8Km6Y?M_Q;Ubb!VE;Z^ zzW#HzZaT%qli@{-jjDa$NfEImQR7-Hyzxtfn!AO6#-p>V5qe*MGw~5jzb43N#T+Yb0>Q*Ot|Kh zXI3s4xtg5N7St;UHCo}M@_~;pf4o8xO?;u#waf_*M8i*_v6OME^~MRQ;iy zQsII3_X=yqc3b#uJ6I)M-qo!w!y3i4rDV}Ja3=lhfR=E^Vi2@_uo>!RgFHm(X59`>3Vd@dcIa=}lk^5JmP zIA8166=P3s9?EqIt@E(@y7S@Hx?R(a9=YP;okNz9-R441zoy-ha7YmLw3wQGGs@?Gv2BJXdE2)7L!Mm`flU^oEIzmwx2ZWl*T#ws9yQN3?CtJkuHSy* zX(oAsZ<0N;M~6ksR|_N2m}Sf4%O<{wiOFGhm;%oqdwYBEZP#B@1tq~g=n?wOX;qI7 zd`Vawa(tYmc7Ht3(ISZ}SwPUQ)uDhmn2oaqlL*^pWCem4LBZK>YT@r+>Z@TP)606$5c zna`o8-LlRUumr111%-`IbB8B|esp#rrTzYhQ>Cwq@6j&R_m+=(DCzDu)EFK6yf`>H z(VM}PfPxOypml?HwEPq2Ruz4i-^I1Du7e* z3`$bpif+7l^9HLTCnpDV7nqxY(*(Ai(U~J;YLvI?S53H@H`Q2`I}GW~pUZVf)3DR9c6^=Sz-q=7@ zU!Bd}-yCG0YtB`nWpjE&fJ~n7X?f-CNvam;Z}xNF9sO>CGNkmCG@%%-sHfhV>v$>Y zk`B5YnzO%q#l6YxAlNRw>=_ov*0XB6nlZ8lkEnKwM^h*t9jtSCxfpZUqerLgcly^@ z`+r)KyRFLE+dX>t>b5PHnRz8McV~iDblbxtXjTJ%CZ5iz5h%QdMzQd8u#a`xA@$;* z1TQ&gA?(0M0n@K08N3F$4;JRXaBwn(4>tsBCvLu98o}>AenKnR_vr6Q9XC;(;9}!r z$B&}> zc+K5Z)!>y$DFgsp8`i|8412wO_YNu)-M&^iPt8fLb@ZC_Yw{l0z#6Nx?(JP$E9L-SryKlw>iOJ6bHQ?<&=~jeFgW;psxFbP<5-Ytd3I{>MO&nb zN?CQxAWNZ5hXR^@<+UgCc-Isz(z_s<@x`U?hkBACYgmOkh z*+6tP1@H^ug3SDc2Am;L1M*{+Vqs#6RT$qWeKhTYj;pmFyRccHR9I~vN_58~qou~1 zFBR`ebx>8+%LzokQ}^N4ZPJfD>7P%ueK`|TaulPs1^fQF2+pyoXOFhN7<{{Cx>a#; zUhrLmRtZUJZhyg|d+hX7zdR$?ev9qq${i8CX_dTETD^nHpB}ahajX?BaLsTYDs7L~ z(dT6hFjwjM(c3pAceAgUd8p}e+JQvfBM}iy?fS{={QBDS)FW=hlBm=5yIAw|Ma9bU z5V?)gB}q0S4V*J`a??B8^`U)q61&}PJ{)!++b%f`y8TVWW=QU z7DWtAJLFdnChSe?;>Rv*ZpqS_8o6-Nzy8HO!!uuZ_Hw)0KC8T=u}XS2B7$#hgXWff zYF1y**8C{FuY`1N6*{2uG7IcCOWORHh<x<>y3^R5{~!A#`|upjX%z8-so>>s_0h(*~`KqG&I>Lqde4-W+}jT z*KznMBX>zt$lJF(95;0p$yDYQ=CQ4LeZA_rjy`%B(Hpi?CIheV^6kt2y!?mVeO5Ev`rrXMA_9EL&7?QO zH5$za9s0Y)l+~)rtsnKPR6-F3FP``-q`ljcU#i{B&QXt)u8Z??<(;JC$fMA7uMaA|A{D)9c(^W0a5B-fPb=P1R+eWsxu82g zzqc=rj{RDGcJ`y+rkWP)Zui*Tlzlvvmgu$Cs>hO(c`p{N8K0ym(XG#DSsAu(-K@4J z?_+VhXJAX?AWR%PKiiS@ux3`qPriEf3VSU0q`R;^Jwr~eft=C#mK|9L&3uAbKE{b~ z;O72DRByCLJ_SpMDkFm6EUxXQ9Q_wyl{ndc{=)ggza($F+O{AS>PyrFH96KxxY_76 zJLzy@+=q1C6YCD8HYuR_9=Tlu(VTP#cJ~T@2;24MOm0G+r6!y3XZ6K>JUmqZSE0Tt zmX_F{mI!y%nCf^0#BKCz?w3BrUtp4~pQsITz|ldeJ!wt*rUobSu9E`pVZZ*va$PR2 z6BT%?JE!b~kfQ@IB}&Rvc*JE^Pj2|q?WSJ%$g#v~qPmTLA9+7~;n;-KoL|cZON*`O?5W;JJg@#)TG+gcmOg2Z?k>vGRAf zfHVmLaae;#3euD~l*hr~GB=>%gUK?0r7Eqgi&G{-#1F!51a2r?+}xM&gP`;h7KSP+z6~DxzYh)`0)=dGVY*O{`7OcxM?cC$sVgs! z)oI7^c+Vu#3i9(06)w&v7aLdS`g?B|x82Rhhb|E61G0~J0EbOZ!uYm6mqGibb^?I% zBE=osw{O2Rbm61GAt@<%{#M1Sb0*R~Cwjf-+V@2}Fr8hCyHQbAuEV2)rj3@@bXQ*0 z;pC8#QuXFYV+a;Q9g?`{^U|pDgM|~{A;lpSRt|nR5~q6Hf{UxGN{EnrmlLxBS!nF% z&m8BU(P$8khY0|cu}(vE-Ibt6BdGAlMY`){mpV;51@R1^w_cAo%dDK1#SnSh5}>p4XmQd1G2hsKS4uY#>uf&pm2gnfGR^KtiRyt zf)O+rkToY6`JGwn086F$cT-q@+}6@R?G*gGJM5XQAerOW_58ov#JU)fsh2)9_Lg!~ z0jyKxR3P$rCnOMqh>Acb%1cWHCVEstz2{eYEbgF=hxJMrK7s$;e3}bdn(^yr0@A&L+A-uz8A&A(a1$HFx(IIBijo*R`|!|EE9&X6TDo*{>-DnT zeO^`TZIr%6(6p-6@8<|Cxwq|r^sjHX;FXQ{?E{bc5YTjnBG>-~O`0iq&w4sW*Dx)R zkc^Ix&-N!ITm#1pMre{9mY=nQr|E-0#0NE_C zOa83+7VE<8e;JcOOTlphVs>QPOC>vo!zThK$i1Ei_n4^Owu)ES>@R0ylNuJ*@?fuq zQf5B*@Hj}VUcH({yZ9}>3Vmfmh0TO48uuq&N=@sDa7#iJ5+2Y~9Y8V>NRlm&O&MqC zty;B;TjjCtD>Tyc1uOie=bolw(6tB$q}f;D!e%E+9TVzjuqfcLSvM8aWU*o0x@{un z4-`yS#*+gvI1F*O2QgChpj(x4h=?F&JyVtbZBmNnV4+OR%&_FTq#M*4E^|#MkrJq`}mK7D$y^LDZ+L-42+Ol*_ZH8Do9zSyOHJcOmrBor_Ucm86AMWnf@li z*Or?Dz0Cvp+uGW^qfZyQOYPsUmX}La$4Sf_iqjY|jmqA<6wiTxumJ5akiT4lr5M^= zz+ddCgS=xJTE#UsHiAEuo1J~pfQ~UUMiMr&E+Ylg5w88u(dzpGNX6JWDk>|#U|{x# zDB~LAKYxm&MXI~|0=V@EhYNG#m3+nq#qqZzBX^MCoe^yD7mJTXc*Vz$ih0pgnjGd! zw{voG>2@ebIWAN@c7eQzanmLkj!n-`w<9=RG6;~uwfRu&fI27+5|&(Oj*|5Rlm^3@URNEHWAl*rt1w7qCPDwfnz96a1z`inazaK1LqiZ}%nVo< zT?-;8N{j6v0TDd#T+Y>Mvczg<7c(L&mw*2Sx2%}v2GC0Y7g?ipjnJZ# zsHf#RODCBB?fdsAEiK2*n}}a0$6~UwoIop+4_z4O?1Yrh8r>eMjZ^J=tBf!!@t6el ztN7sKS}Y(%b{7-y*#Yrc);ul6(FwONW&EB-pI!5iMELL!+SfxvFbrJ{@Eifd*K?p5 zpdeqBD?pX`ei#GtQ{@G*s$BHW%&=;vgX~4yPNkE42J3>0-EHu%pIdIKZ8n7h0GsjT z=qL>xojzKr61f3K9vzBTUW&J?(;4?zPz*KipwfE?xVdH{bvA3uPb2 zw70XdIR-v+!CwasXvEbff`Rh&R-VJav)Vqw(|dNL32PPzhkm9-Uq?qR5HknHFc9jDr!9tR*pELu{pN?j=}3IE?6zdERbyp%%7E4hseAcgiV~R$%=~L zL=>X0I3eCgP;i==F#C|9vxk?rKc^?6HU*;;zYbS*yg^(QVw!rwpzzA?u@^fsu?C<` zhgZWWGFWI5FO*Ip0G0zF#Igf8_!zMTP(tv&Q?{6g@GgY)e?om(rYjZIH@4heRCz@d zns37nP%dDj80#!W@lflK1tdOToO${BIyyNSrk(e(j43vD>F^QDbsWO=G}qqIk9-ft z9JVeCOnI!pf_a_d_wR4tx#Q;Q3NbkT-Y7aX(!K~GoPf){dUHr*XL@87PZeuWuoWwy zT{~7U=tkpHQ|!VQ)wH#@kQ}gnpc5jZx=P%Et@Mh%Y*4lMB_}5r7A{_2u?mZFc+77# z71b0}vPIIHsj~UtN(l$@lc=3WMjG1Nr(2#=P*_7E=y{z+rKP20K(p<8y@f#U!`7^q zs4cIKj6{x%Z_iphpHSbNZPNkk$A>Ko;Qxa01bP1?7=d#ToXL~vm<2R9cOfm<6OD-5 z%$|uA!htuY%A~5kc@GZ{gmH7|gu&0tD*-(&xVDBaT}<-oIOeRS-#Yr9QT23ztB9Cb zmizn+mKf2|05ToeIJP6c}&TVNm@uLNtKOrfbhNUMi{-nWf2m%8qKfAN%BRbH)H)a=x)pNLgzvPZ?k=JnOfo7pS<{i|sguRX1Z~YZi*IO}s*@{Tz zzw(8vWFayVkr&eSu3^Zeb>V&ik~=6$Dsc($O;lGWoZo?;B8~Nme|7ga)&(!DFDHWW zo*C4^mmZiO+Oha+Evf0e=0>)Iqt_N^4OLVs5V2vTz8~yN^GI1TQe3UVbm(=E)uO~g zzfI^pnt*d~7~`r=zj_cLGpp9G_{xcQI*6{H4RBP4AVc+e6mVoXxlQBA+TCXpi;eq`gyeid3=NeNqrNPN(@lyWGDD=N1&~PX(YLT; zA`%JA@%-6#H1!(!@#7T&2>LEzPe9X`pLp>nl@d4D{2uGV!XRc9DCv9WXW<|Z|JiFZ zeQ|;OaG31#-z8^JIXON)P#yCTv4^mNZ3)ORk37i;*2Og>6Fv&(h$Z3t-2=!fPB)g! z&#`yV60hu%iXJo7P8uhtX(UurSmGw1;8#S9G8)*{Y=mi2JdVEo_;GT^3pOB(T*}VltBHO8 z#i}Rh-ownyOn^t8s?YDCM=_)x@V|kuRwd$)IKgLrcSnC;FvtR~Zf>9lw{5s4i22Wl z`R_DxMzEY}XF}lJxd&57u4>zvf4j_2erf&s6|3)))CWiPC)j?Qh_((pBCk$0f!L1u z3c=uSylvDrm@+S>>PiEu20s_a$vd8&3+;>ZkwdgEM1h!qod|O#kt<4SYE@7#D6xwp zp0vE}@s37pl{$DZ8(u_fZV^(3jZzc-_<6)SWG9%Um+xHTMjKCP?yeW~K46K=UOp%? n(A)m!PQ3r+o9_QC4VYYfs{BG}rv6AF@rh&dD&!>Dvp4?-yiB7D literal 33207 zcmeFZWmJ~y7B-4WmxxFR0tyHsp@6h>gCL=#NJ%$Ht28JG64KqJAYDp#cXyX`bLK1V zz1LoQ?=jB#`+bMu8nEDf>V9Ti^P1PZy`M^pV4@MBAt51Qiirx!At7DL=78or^LiN3HzLc*#>{CA<=G*uf3={Ay>AfNo3$dyrtNU5FE`d{tQOx28Yx;H%t z`>zsqkyD7=6I_fOp>=nQ_gzTj_etoM;^@t>v`F(p6QMeRzK8$;sNfdfwR9sDo3V#Z3=#xEUm*lgp`Vzkhgw zN#%z4A@<(?`QL{Kx$VDC^Iy1dVQ0C2eK2o6gkGhoteDK@xYKAhSV^6!f5dJ+YA(Fl zxsA@nBbV7>cja(rSt<2t9G~k|n}Xpi6*kXm*)+K%-_r%QrQVErv&YH>MlV`ePk#+b zY>8jE?r%jWklxjr;ZvdG>{?WV|B4@l31fQVr>pM``jXutL!~U`q!P~PWT^;U(w~*b zn-aZF#Xr7j)q7ywvfr5a`TqU;%*^|}qZg1=-&&P&B@)L*prvyn>5w{Z{Nz1Zl%cR# z>Pd4)ComZ)>Rhz)BVo6guKTENTxh-AcW`iE5ECc4GE&^VQb*~}wb>=XkhX?}^u*1o z^c9?lxPrV#sXtrI6Pt|3aeo7@dAd=J-J7m}7a$eEIy*DtCA!>~bqh-*io;quhKKv* zkGEgHex0uO_iZq(Jn1Vm9rwT_78Vp7vFet3mLko9QGKG1P0ICVZ`8IwT_HoW+JjQ~ zLql`(*6Y1`SkEb6hKhqZ;{Nc@)G|EB8`b@)mQumA3Pfxs#|@PJiHV8VySL)oKSf2I z9B;K38umZ9e?QY?v}Cl@_G~F5XXLE8d~a+xSEo5!tu#3?aeIB7_rZf~`<*4*F}wK+ zr=t-zl?ulL`oa;pJl)ogj*hw32!Fzd$zP&p=H|lDTO-)8v9TF+WHPVzMQPsLnr~n4 zh!c>MloS23 zJqrzb4K`;QrBf`&%IsE$^3gFdjk^*XIoHdkzlnG^z=D_*&xUw;c`av`u7UZOb3}!n zyy8|>&yg?hni|d@%737rbM+W$aV~F>ilW}1jEwQ+6IkDC*RGwO?p1;Trsy<-2^Ji$ ze=f7nmPVb#F+K`~3&TNM6( zy=WTC@&sOG#r~9Uyk5+>b-$W)O1ER6@o<5Vh)5~#P^v7Y<>YLr25VvQPM?ZU;;UMp zIe&+}wX7F;$@P|Xb#=+f$wVIJ&GdyuIi|w}#+`biVq#*VqBJF@u%2~0OD&;zxVYv! zy-KB~&nlfyR#uEGBL?&I2%G}l+}yUex8ti9I+?bV(zdyO-F)s(?XsHR@59pwi)?+k zz3A%~SMN_M?%3a?Z6S&hgFCHwcs4HtrzEMrqHKb&VP7V@*~E{pn$;~S%HLlH9B_dtvh`z-a_#4}^AIy@do71H(J~)x zFKU@EIv?-%W+=%-KJGj=-`|+@(BuLO&)#_5liGQ*H?FZws5-jPozmVEOgG;arIMjY zk8A#zgqY3bQ6ZCt-@%>kWGM%Df>tdbhxzI0X`w{0YYoR=wKBXXGeoKV>JC{8j0m5} ze(mk+YuKCKdv~YC=_R)x3!E)OF3HF1k$%_Av_J3ZTIo6*s>8F|l_bHy;ZZAzVrgLk z%bo3LCf@C1H$o5~9mUZa_Hcg8VcmL_crM)ekPccHWTm?7IlK10!X=)1n=d7obTJ~3H905Vh$`%vja?cqD?$BVJ!w6qf6H-j=E)dofhIe zRjU`maYB-_x{RKM7q;9oU+l!hu1Rvy;!nNR|A5D6;48cs2oK{uOaM z;qJeq-57XxF8m7mjW336QJe&Lc$5^kIBgzbXthUkXH%OyVRR>mU|Y@#Q9fj0>2>_B z*B(8WAf1x;B2Sm1E0*t)Wou8`vsU8}1`YLXLgt4LFI~JSm}s{(cjd~JxvSZ}$cTHL zo?RI(Y*&3~I>xo9v6H9Q9?n}}(7Uw%Yg$)E_#+V_3beu6#8VbK9$0Kueo3KFHIPxg zv^=>nSzQi3GFn<_c&T5X(X`?~w-cAWY_msqDs5>pCTd*oy+Ex zKSxEWGKtW%$d=ZU>Hu^ha9~!pb@an9LEy zNELz~{rK?&SAVo5f7x!Wc%F32B@C~s>$^g@vG_qqG35jAW{E?VUk_E~g*CcUWMX)n zN{+&571AZcm}{M+L`A)pt^B}TBhVSjHmcx7nmo|c)%9tBg%z499Cv=GG-lb(ot>e( zw>oUQ*p;N{G*D`rQ#`>TQafqp2yX~{lH%1(VQ;1JG5CYs)SK}Nr&c$d0IXXaJ((}I zV8ya|A`E&`ClBv5=D$=72Go)$#FhzF~jGuR7ugHd7n5w{2f}ipRyh*Tb8GF{Bq&(o_nw?TWCmu>Ab| z+8P?nveM+!~x-G8+z!m$lRB}`bO&~}qZNB0Ts!&Q-*IyjA9?#Eq z%(>b`+10ALk#9AerzgY5_pW{mgXq!g)8m8C9!33v;tz!%itaqH_Jg2+gX{hABZNo9 z&8t!Se4(JER1@h+5b+O3hm-H@uQxU}g0Wev?bL8tCM;OUW}iXGT2y{f4xZMV5t=(s zU@R~AN=wV1jQ8|ty|Oe10}aiBzErMeXL_XA(i4NwVx}Pg^7wk?8RG9`-1ggu)$!*! zY~Tur#c+Ui5pp{IRS)j_Mp-%hK?^WN`=q7dkP5XuwdJNggV-|4QAg@gRTYTkC5rY|v5$<^ zc3EpHb!ujX5TEvvIQyX>yfdq=6A%=%J*XFBHgAL;1_^E+He*4KnGQANZ3Q zidh!DTtS*LK4F+^@JD!L83_r)fv=M)rseti-BkU9oS|_wwpl^#&yFX86zB-x3aESj zS6hE&$|iV-l-ZRMvp$k-p`&*yB`xj4U+aBhCs<;)5nyGhHdSlQW867^UrHruaE^J5 zc`C4|hy6hqPW*S({L0GH!wkb&Kqdv?WdP=Uy_S7Z}yU@qdLTqOA*q{JZa2_nd50fiJiYJaN8eK6@s*7Dgv-T7b^fpWqPvx@^A^n&-ZgN40apHXE! z7n6}W1BY*&bvoL$TQOQI8^R}pgpMo z-2A~bJ$Si9)^zT|3gKz%Qq>5lYX6LNR%2TmYvm(TNG$EVX8_wKv3ZX>%D%40^0{JE zn{h?jIfk23FR@yz#^zla>dwrr);*=6Xy-Xv0fUWkKGff;Cl~PeLM$1<+N%0c ztL}p@kLz-mCS*R9e1qQiSI}F!Wl6B=87hxo?O1@9>7C{fsK5Ei_<_Z+?+dTZVwcWr zQ!uCPnrg1L_W`aJAlU~Tf}}cop`&=%5B1s}#mx9|u003;5FvBY9ut%h9D6hU@m1YM zJV7v6HQnc*_oV3Nm`WgYXDj+-Gx^r48LH+_vl#SzVYi$sv)fYbC$v?2H*}I8noLak zARqjCakkt)^qbP9S%O8~%|R~r18FHNma__PIC;S9zs`M2RIu(Nu~JL(ug6~V^Yi0S6bQu#3hK6o zTX&Mv5`~5K<6$FXlV++G=N`GRF-THVAgpHL<_#CJs`DgqO{I8c+WGbC)cS`Ia%-)1 z*!}y}U$Jqi3L~&#^BXb-Er?nSU9B^Di@G=KhVl)$FSc2erWx`-4=)hUlhPk!#;&<* z{-T9=e*Ce{_0U+Q9Ch%))y@P2K&Ms89{H~SY-?9M``UX}5XIGON3G-H;;ff?7W=Y>`!!rn0Mmz@CSAFDwGHAp#CG_dQ)@Vj>-+Zx z{n?`s;*%sov4|d}2Fb`#aYIyJ3%n}wFUtdgocJH z9i}iNoG0~>tL1Fg_25sRI^fR1+nfP$f^DZN=Nr6wHMP~wTWK_y8;_4Ww(Nl^6$I`i zT&k1%+ns!rsJL+h3XF&0sNI5L6JN+8zP^x`2BvC#84>`TSQ45Nnv1C#5Qkz-cQI&V zL#?YCcXqPwGG~{FaE~1Ia(P?ij_cz%P_6$c&CSh)@Sc#6kW+DJuvH<>&dv_;o3~XY zr*w@Ysr=ISIyW3R#h3y-7E}xCkVrUfR=fbILDmE>I0e`CX{hnWo1U7Ix5eooNcn&` z?=nX9e!I)*796oQQVggjA5c70UbmQD2?EyeEq+IiWU9rFf+)qqr-Eb=-#f13@&6z3 zUH(e%tqqw{+jUZ2=dvYrq$lin*RO9wV0L$NOI<_BzRr$<6v`)t#Z12KqgHCOI$n7e zrWY+c8X$*?fnoKS1d7{q&R2yK6BCy6ZG;|iC6qQ9&%eDgG09$1ANY8pYAqtJGw@Y2 zMLOyg{{nKuPm4ImTVzc*?5V+<`7v~jd{k~@*NBP14K#YoX@V(5{IvD-G^~3S5GVae z%m&87$i)R`F$#`|D1|a*cXc>p&1-a^UBNa{9tYje5^qeynu(TT{Pt z_8sIf9Dax?kB*B(1*fK`Gvw3aO9*Vxv9L@AzQ!%7)BJG8`hixDob}1Iq|=hO@{S}5 zc`%)l;^-BY_=E%nTfPgP)wp8C_ss5kva&FI=Z^)Ywn|)o15?uDgWieDIeZjHtq1Q zx*;y~PU5c@#p5@VE>=&C>i8Ia#BL_`nCG=SNe}#daCb6D_J93JlOLt+UO#$19^w&^ zAE5r_aU+@2!!;Z9Vj9yGat%Y}GpM}1EzVBlGD4)XOb02@350KPhm+yl?oDr8EtK%Y zVr7X6AkWin451GUx`Rn9K3rh2UViPm_OoS*_@&5AdKK+S{)1Jv#^%qutwy&japP>N zbkX*U;q9ULg+=H4Oy*{6m6)PCkRyC~Msdy+fI^n@GlA%l-YaevpeP{+5kqMY2~ zXJxv=$Hvc?Dcz-NT$XijW^gGPJMwl)*IE6@_Ds4xG#xkI0XEU=R?;v&-f-=YP!wJL zQtgbkXX#!aLWf6891#?hSVBN^Y33y=&;Eq!$APfTAD5W(G8}ilmgPy77zVo5U(%v( zavRItz3z468GKOVl!9nc z_EwnE6}DQ)`zy_-%LXdnUrdl7P*MpqHz$;eh&C+|LZ^J#?VBYNV{(vAr@-8o`Ri3T zfw-6$yX{(})JL_)bJ1sI+;b+8((~r@mTV6nKBT0quGqc4HcvpRA~%%JNkC-K{cYBV ziF})Q=B0VE%=o>JDh;~+N{$hZ0kUZxF7p#cgf|~75|H5DJ;Jy1Ao>38ggw=WcRY_e zN4b@cxtUygFL}A~9ZQ!V$$cLperw^6fuE`A$((i+1`AqMq+IsnGM`T#-a835lrGS> zJnf`cnaS@j>$S4T{XlAb@LJjrgP6)=GOLe4dzpQfz^|A($M3*BHR`MD(8+O?R&4qSfhJ}$&u4PyzcHOko z84J;!i7gzAbfw+fl1+$aKiEcQZou(8T5^@k@w_i(XHCVv@D4Q&=$Gcr*;?bLPj8bs zPGt4zwOO6r18{Sgr{`cYku=^V!xQjO&u94Mvf{xkLCzyJx2$|T0>6V=wy(1cNKuB= zE2V8kRVQT)-;xFs#WaTtW6lOM>TkquKWh7Vpl32p_fhbUr1V~h3}-W2`D{0mxle;$ zm*J6OO6A;y1atP2i$Zr~3wAywjq2EO9yB^`T(R>b*=CKfd^+e1bVAy!;n`jPFy2ve z36lWR^&laZ*&?q*v7SnFkI$~8R%NLz3$J*J32+1MJxdOnvqKOdJv}|XJl}2C$1*cB zr%t!(K2BMMbo}tZOj@j)rTG%GFW=~~BKBK2!8?35o=t;!*GdG!lS!JgrLpWkxBfPgBJ-@gR(8~D0lbZM!4{Uu^0)y!xn^yD zh)l&WN|zk_#0OhnX?g51O$@h6da`jqcsLO*u58@Z+=h*OHUY*&74zH(g2OBV1FGHlA3CQ?y=5xqMmtU2!D&q;r_-l^4Zxg7 z&ONViv;$D0!`qHvuXZ}1w%&uReq%32!m@LCD4(JHSrX1o8Wsc5U(^A}mqlB{)%D9C zF>tZ=(Mb`QFLcDk#>Q@JYy`5E^BdG3^XsmdcGJb|bJJOC%s`AwNldFLx zqdHcYFLGjq;f|ud$%CHY@w){PO5qQx+DI@mW$AZoI`5>Z-F{bWajNAto|Nr%Swh|D zhq*;ZhEW@z&QY;S_Zt2O>N|6e-7^#JkFv;D#>z{x#v=%N3$o<1l&e_PO5SAbv_(k_ z#5y^kVk&f7J$ceN9E7W4NPYc}SN<^%WcKG(SI1g@s&9rB7l~wBWU*FOpaka?Ud`O- zCt0D73HO~-dQX*d*-Mn|AlKq3WF}S#ys>F_3qYCtsH}*emuR?Pv0~|5Qu*vNiw@Uh zysEcv-$EhtwV=u$nN~4~I-17B^~+7d#~mtJ{ z%;whF*=Z9=ttIz(j-ad9rYhNANNCYHd-wcZe{sE~97#%J`QUJZj+x5f$LeXg>oi^2 z)ZtQ{np~E zN_P8bVM%W)NpNjyN5$rJ{EQH*zE*{dd#F^(blgNxM5AocFq=s_YSU!d#Hjo%FwUxF z)a>kT1kFf$FR4m4#@=~!Eii5O&ECoVfEvi96oG58q*dI%Zn^P^vclhSif7=Kb}y^G zFxJqIQxf@tnE5#(wGu~qwW*m;8Ty`&&!}=@P}8KbZX_+Tx$%%ceqM1br`sM98;cG! zJi~B-SiRqvu~Q8S#Hlo;_4mQJxVbOi^_yO{+UbQf3k<|haZdp%$xkuPfnF%<1#5ME zM-1LwOt#f0p+@m$yh;v67sO?zNic@;jaxniIp|~?j-va`uSb~$kI%mxVTf^-TTe4< zG|N&U;fWo5k2({JxzY|6WoP!)@jxeZ@I+7kO-=qbsdDx6kdbI^)YslE9*9?qgOC5VdpEn$auK$%k$ z-lt2fO;sCJ@anvQKmC)%#VA+&yZ!kTk23>#*x&ptcC;Or!Wt4#z)Bx%zjRT1;s@Ht z_R7wmfg)JSoxf-kc&ML@ejk}Enh+UZ^rlC=5Z@)H{$d+`YXYP3cKlP}OQAKkUG=v1 zuh1=?(s9hi`eLDP1@gh1Rq}LuKJ!tGGbdo4> z45fzDj+gTBkdW}$Q}Hcu6rmP7lzYlKdC4j}s$;{|42kCI`5(UE@M{RiECY8EH+(9$4uX6<Tio$+v}8-4s)!kdUxvVig3XD*-Xg;a%-qg2Yohu4fdJy1WI5yT4XBZRT>96O{_Q|Ua<>XVhiI@K z6YtK~D3TfN?*}4Q;%`qaP3Zpj0}+e+x2OKUbGa^3OGl=bU^_1Wv(9P1{ThfiN=ixq zZ)_$bUqVCmipyRHkZ{Z#R3WjW51G+jAAz0j}iD?0o0@abv~J3UrWy1d0<*Gd!af($D5 z$2zq!7I$hKC$VcFu8rSUcwebQug?gI-+9&6h{oF zZQC&u9bHDzEY>ZIfUPsdELzPYW>x1cslDWO?!#26RU+Zt3MYcHrGe)TL)IG7;^Iwh zZ3U%j)>z&eHoqo<~{vvf@rSodlnthItuKmX1p2!kDGd}^j`2`DaUzqr~r1LlcymW z`}7H?-#$afHfgXTGh|dD^(o(jq;{oTRYbpc_h(x_DKT+IqMEIZU$Nm}0)(vo?BQI7 zmHG4``V5|gV+v$nja~O?SO1xbyQ|bQFAtP=-A_~%N@r=1)6V@y{02CV8Tq*rB7CXn zEKsrN?3#0;uHrwm0RIdD2xk~^5u+P%LH%c>0Ee$V3H@Gm68isp>HiN!EL-%+l`-IVHWsRXCOqzPb^<*3I4B(`Hai5cA$lHuWE*=8t$$$D zMLrTK0L=#?g!DDal_%#3Sha!g%Xy-XpLXlGOHXgy8875Zz)&&m$0?WyjRj~-K1-G) zM`7VRKfs3qnMLFr65Ns@w1(dETQ94np2qxS;BbJbQtGE1@HxM^>q1xte&^X%Sq5bp zI?r+Z?!aLc^%;$pumEqR8Tyj?Je5AZ&YsGC{`{})n-<(q@t_Nk2hFpqm_#3lSeBX@ zDz67XKXY!iaD1&VD`IKvC)IhX{&9;Pg&dhh0ISLeiXD)cK>HJF%W}At_NJyoMB8Hr zY9CQaNyo*c&>kD?g1B=~@nGh*bb|r_*5t*_KAUk zfuNwEJDUB;jhh|;k&&62H*|G$X6NTU-QCmHP-02hQT_ldt4wm$@2@+5x+1IbDyGXf zsxAOqdM_1_2?8Na0IU-HvuxCEKzSQ=#@8MnY$@1Y_5u77oSI65$%}pUfe(qB_xX}> zNTUcPLd#UE-tQKuFCa-QRXhn>Sa?0!_8GU_kovLARWovA@|jp&z)zi4`~#rP0b2IT z<;!>O+~I=N1KEbsC?(C0KY`bF=C&J24+g-)a5(cFE-uI2mBDf6qgAjpG6I5rST$(X z90MzyestyN={cstp1J+UI@aAftWI|N&-SPN=@c`~9+Np@;#1ClQVcnnIg{DnQLqpMm0D{*BamnZ0Wumh8M-2Mz zM+_J4QXpFkoF7+?bs-s_P7$FtXo^VzDjw8Ar3(T90RdQ^(@ha?5ez*Ie4SILI(^cw zZ@TI0>kkeNUM9aibNloUU{6C$P0h>8`{+?m+vyX;`@DvapEOy!{nnQP zS@Rq*`>YWJ|6+XI5etf<^tCHSkm(TF?rqm^T>SfCR{bv40(pQ(=DXy2?jJ$F5%_Op zyMZ}*1ynh^z$~Zz_ruG1@Mvk_F6im$nVFesXhf|wUb3CrmYM8KY}=pL1cg@wbW1p_ zULzVDuC7|IUePLMK8L0X7^dl1*$eCbmt=oT(vQULlWRC2d7;vTw_cfmnt;pzMb@oH zub)DosH(1h$jl5{tz6JNKy&_d*tF7kyrO)GrwZ$j@4-v@W3BeLE=q!=Yk92v2pV%- zes4chNf7}(J@8G-Wq%S`!O1o14`}$SC&&oTn?5ApFs24O{*{J$jAiHU-GKZZd0&%E`$=IDqIw zaN~x}TuWHBCpN>2Ty6LX7DaB9Z@}$8LTQe`TYV6<@$vD22rQb-H2UZe`asb1138z5 zLjB8!|IMcN;Xd_giTEse-o9(r!xc+~QH{O^E115HK7+7+aI zoPR+xkUj*3g{1+T|IqOF$G(4m#C-;h9AM}Xl~(6oknG#@C;n%N#s*ym5|YS>2s#Q6 z%}933bKKSTpXxoIAmV=XKJ*l$QZT-uX&F|j5 z)6~>tEzEG_-FrPMGUnU0M>tEw{`@$1bNUkd0%tw9#U})6$OsR&^#M#*#FXZ34ag}v2^R}v-KbnKcVs+!+Q*0t_S?YcWYKYYGIERk zb>mxtKTOGY72AcEUXf>o2ElBlHgRm@WwDC^l&gju_ZHtLYiX?-9%4fyPEXHTP%A*Lzod z*-t0_*F=v*jWU)}5FAUq$M2AjsH5Nm(8Vb}+4apd?G-;gwH>zS12!cVhsEt5AX&$9 zRq*Mj`|9`CN4KQjM&=MicI;;KW+WLX4BN+9uewFgqg;54|7WEU_j!uA&xTLSg`N@~ zhOG^TE~(Eu+aA1D?-!^~}?Klx81 z42Kk2*^m?))QUx=)6-U$@&mmj|f&&O(eMMisd}(7- z@IOCq)ScYAz1ZEK`QoA7<_z3ceN9aykJBOOPylB?{U6WOhW7^afF|WTeZ(e3S}ADL9GgnVhRh8$;p7+juE5x^di4c;v z=2{>2e>d!3gD!R$t8w^{-%o$Uk^?Ry6Tzx-KF=Y)f{Ci2pTo5~panuE8v}#%;yG{X z=*J+rs04k2CzlV)I&8j zf?I86Z$lH4lR;)KpE^NTd1aRogOZ*7MfLrbrlzL$c5HO?XQQ|iQ-85qYZMd^WdoxH z|DXs^er&by6u#cPDO&OyXv&Q0U_|Ne>Vk$7D*ygt3mlt2IP(y75+qd0g(hk(?5%Js zxp}-D$mcaAk1vTE?fDCmZALz*_VqI3vM~!8GdJqmH2uRnr&qa-Fp4QWk6W*7tCV^I^3sF=kX2_exux2DDLXoHF zS@`_`&Kr$Uh0O$W3FD3lxu#I+|BjWNzmIgGsyPXb1!7vcGsR|Vrm@Oh`KLZ-?owE@ z=bbTCQ8C$0>g#{r>vkibD(wy)Klq};pPS4#z<;pPkiM)OM(gh2V3c{n&5!zLrD8~G zlH_>FAFWr;$O>Z*ARynuGfwl9ooo1a_4O_8uOA^e zc%2_4`z>BFdZoAv$J0yI@*@UmW~>Aa)V&H2auzJW1sggS=OxDa9d)-NEsd7#P8JTW{;K6$mH-50x?@fHF*J|;qeofbh7Gd(C zFd%?@Nv|{p>3!K}>MO+w8&|Iz&(6D_J*H;iOkKqX?ja7eG5DhvI7umQ_`igQrx#r6 zAVe(QR~w2)jKle=3TOp-yqLKy z4`nCR=st(228)vVRBNE@nEh_ z!zXgkO4>o9QLx2yrsLpHF5J=eM?1@*;omi=#au%=OBkDEbK2D3$yrd4EzSRMhzPain|qaxHXp6&2O{vo-S# zGuA$m%E@UjD>k-=>bANuF@U4HKWgEdQvPtW(A{Po8DbAv90Kzb4@2yBW-Yf>Hg2*X0zd`z5QBE9AKVx?lwl%yF`xlNXLZ zm~Ue-&uR>!Z7)}vouAHq^KJjvM=ue-AV6yG+bM15*%mqlbXxklZ^v z-MeCFvwq{KendA#TFetG*J1Ap9q*Z{VopemONjkW&vsKK(_E-jJBgdJ@@y#E$3k>sMu;zu2*gAM#?h}>`=>jLBXoK(?o-jw4IfW zy%f1tX^w|!+lvWBp6a^<2MS<@Oz{&@Ln zQ;BuemrxH6c9dBN!nQp)>1!yCemNsHulh1yxEu|Sv%;tb_?%%*`EIC&vzWNJILvIx z$S94nn7*h~-(4rbO(PA8rWrn^zO^Ue%9GpS*yDd@bU1?trAI*a=FUCuV?L7)f#2)! zcfCdJOB{ECowz&aPbKE-%Q7N4?(&{oC&9n_k=S>DXO7kKgcOs6X1O2v_}KDgj=KAJ zIfMFrc6PMVxx$h9<4_IlRwB(739)JtH;coWSk5&8ls6l}sFM&}T8THuESl*7gXeWG z0^PF&f?9RZK*8dMxFVwyD9aBPDx2U0kfa6Cx>K8eu@tJbns_qF|8*uwEXZpmhzb>d z*N)5J60BsKzuniwByX>kk$b49(f)^F?=P}DJ{P>h_*60be&jU<)#q>eUYTT@m98__ zf6+jNFx<5G*>%k-o4jYkK{m)EM-n9=J{}bCcPRigf>u(s&?L%BP(;LZv_!$WzpU2! zGEV@(qOzSh1vlvqZ+56|+f}JX7uAjGHUiRHx3U`TnCI)cR*#!zwA)2aBwxOqtPMj$ zo7rBh3chm1VpDt4;&p1c-vLwIvH0sRu1}?7NUTyUG0EqBr{V$d4#3z1;MbP0hxLi5f!)OLu=rcLF)6LLIL1AI4J9h+ygvtR`dDsPh-c!hVAmH&PyCnn%H%(cA z)UGC4oyKh3=^6nwMIhz;de&qR5^gc5at6C9q7iVwxn-2Ls0E#Hh-;43VJ@s{DL>w2 zgKO)<$!O! z5RU!7Y(Iq9B@pb)MOaL^9q&~VWM<;pttFgYKKSJnnIRug>zlL}b>+wf+e!ntM#t@d zEN(zX@n$U!4t>c(ymPF}T|#5_647?Txq0n57#Kk*(IpM_Of-0irG1DT7XnKw4e<@L z5=U4cipq|l@bD7g(1E~#x(h7M-M)C_&j0Fje4|GZ;MeY?uuB{Jpy%S!pxXUp*YryS zN$0G+14pcQb4cz<>5Md{vj&}ej+NQ$!TQM?|JFkFo~2U>7|7jS?MnNcsisn-yYbR) zo!g~iG)cb(WwBEroHcl4q>6=3Nxa@q{AgzV<`!L?3Kl>8pIF?h_SSzh_?ht5))t~k z13F>|fxC;{DL{sT0f3%6T}ejuKUyt&>b?ZM$xB%M7MBLeaMNo&*@9__=(T;9>kEEX z4)H$h%(97>yQ|+hb?k3Ee0XNmAzxWhJwHHFT(8 zP}ZB9W(T8lS|FEqX1+OHfjTfSSKhY91kDg-YfER(gxy+PY`O=hDiGoT%myCKe3p@p z=3-}JVq#{_1rgCVLd?X?*)(DjpGIRG^}6jo*x79kH7P=RFSyeidTBC{$;R40Pj6LU zHHlJWrs6139DlJl0|uouQBmQl=||d>cUj!BnM_BX$Hxmcez7FufBq{NRa046xt`)K z6^wLf1rnHOmBEBq<;kikFy^BbP7aESeIN~cnZ1sPwBalo_KQi(rnnVi?a-Upkg}hf z0Cn&e8p~%TGh$zhb^TSX`?sWoKWx}{7Z-OG=W&%638Y_d<82r1RqC^?SSvv{8C-Hf zt9Q(vnZ?f@%oABFkubVxNv7$78R!3jeUID?U*o{A2n-w1!qGV0B-jgv*JZd~@=keh z5hehS{MlVpywM^kU%9M;+ zs!i^NNO?iHyd&uId{uWIoe#a%8s6qs)OvYLu8o6aPMgJKPQ+f3zun2#&uPU9_#X~B z6T;5eR#kPSYqSIs&9zj*d&W8w?4FG?G_;}HeXaEOFP=i3gcewfJAyRQsB{Lp99mQ` zFFXe@6vnJ!CORE7?DnPD!L;~em^lD*U_t_VK4TT>5$+fPp9d|B&N_Xf*^oD)KT}r* zs)#fPSzdc2txohMKvSa|#4aK70abHyQHw{$hRTA9*(7^Umo92)V~Rzy%%9fzs^_mC z(o)NC%*KjpUikU5dojhxaWbXyS-IRdV7Ic3t2jOV;;{}+m?sSk$M*e z)5Cdhsao&LzlxNSig|3#|LST}WO>(u@PVfNsU;t4#c2H|vufol8#0v#wk^QDcXf5G z6yulrcd#QDngnAK3kvdI%Ht$(+|ejb^H^D+DFuunG^24AXunf7aOkiOV z4sV)D|528Y*HqKG`k}H?|S8Y9I(-%jgNtL_4e;1?Ov)&$Do!M9;>>g`!XI-y*@R0}js1n;tOA zIF_reOUi{ibv*q&dw*m5Z383m5bP-M;;Gr(M%bf-jrSJ$@8txh;#XhyF9KIoEFyEO zna**Y|4yl5X2NZnh5{xT4q0*~S|8Ea>or1=Azo$?bzBVVl5)D?g7|)RKfFKLGbw+t z6Bh1j6bJBU5H6pgJM8SdWVWlHu;H7#fVQal3%B5-9p7eJ^$X}s?0uWHs6Ph!3wljS z+}cN1qAb6@s;$~?#70B?R7H|`|HTWr7lI&F9m=njI5OaSx3w|(#BxYQ)VZ}bvRT$}i6Yt* z#2f4s2q7Wc4`Mq~5HvB-cJHR}IAAbd7vm&ucbwe0z&uYoc%nMt+m@s;Fu0BAktmJ6 zP`sI;IM{DvvX;|7GOn(uK}TGf&D|g>m7lYim?)X1`go4Hkx*s0BDvS^Aj0&NmL9!c zwd5wH$WZ@xO|G6frGE4no>v)BQW*%T)tCCZI;y*O?eYyPWMW8;Pi(6v83jN5K$>^r zL%*i2ByunrZs6HE9$F8>6xhQB^vAVjEU%2|UW}_2j1V5?7gMqJ(a>y|EK?m>ZXAE% zL|gmpk5;eBI{0wTJ!o!1fcfN@iG50+cxc<3$z`imRE+a%Z*1dR!FOfR$#Dk*%Z*Kh z8yq$X=?KmMoC9B<0*)NB8Ycj1E~)TGX)q|KZv5ykE#8IfiQhrJKk;zV9R)$sH-ax!f zOEdkb1tX98>7mk#@1kgte*RHTLfVCQ8pLn|Vs8`jjFe{i-z4WfyHByHV6UmO)0fxU z3Sl=GNhRA$+XX9{%#w0Kt5~Lmi2zrnuIy76$@dtU55;n{XJgO8U1z;=R4;;TKnSQ) zAAkQdDAg-Y50??LYM}ao-BvGq^NlTh_`7~L?0o?vcZ4J)BzSlT(LL}1SP&zCq#k>n zt z-mwEH^R8$Baa~KGLBg!v;E-+T>S{v; z!KipJ4dmB1ZZBcK6R4yS+!}G0K}PxeClS&BbkoL3Pqg~7#az6ktmF>y^6GS%uU|7y*UKi)ELKYaC1Z51v^RGXqlV|?boL4Jc zxbk-M0SgNY1x5V({+w8Ux+G()t5+Hu0+=lljWN|H>WF9Si0{(T(ed(X#5mX>!=DCZ zgx73|w~G||A`&nd=YWQ}i-517ZpefARR3TgWPN?J=pC33#tzVPWYG?*ao{(UOvqq8J%2qyAX`gg6bVCTyeukZ%K_5rJlqbjm|^_Jb(c zJ_Ys{Sc6iC*%Yy7%fD#=n#zQpSiX3%skxbzO~xkH{IPVkXq5%Q=~wuWDsar+Vo!Z4 zFE1}C`2j}wHqb1-3RY~+F2eR04luU?aM$l9Q`Mx|O%Dk3j8+RBdNED~EyF}iuWCM# z3j_uR+V8EY!K@|pUVtzs;cD@0jXX}~RBq#6tzY0alnh|h6gJlyGK zHVCS6UVJ~~z4@L*KGkBj33`J+R2qI>JE(DEWMkU{YRt6kR~>vqY}&HD&dH;>;aPMW^0s(KA}>)$#Q%hD=B2me ztJk~h<1R3a+77!B{CImo9gPom1oeu_9x{I4+*(}j}N_TVgdr#4an&At&aNB zlg*ue3JQFZD+j`{#mxL&-FM?-pCrqKrae=zkwNyvx`hT`*w{*=xYs>N-H=>Wp92 zpFO21^E|(EI$DIfMZ=l_>CF}P=M*tta5zZ(VES7!{Lvyz-j>29Fc}INH*m~O4cHQB z9$svsPsuZj6My1osKdgp|KR%dfpN;!r<}46VEzQ^nSCaB$vjNt*8_k;RTgZE=H>*+ zmA@wnf9$bAU#6MnYM8EVHe)Q#jS1s+689v_%G_Lv`5331l{HX^N||g`_pXcY#$wJ3cI0K}_V}CcLXZ$1g42d3GVl;qONGp$&SO5U$E0 zj=(>K9CffCE%Y1rpM!=A)Q0_MziOo*N%h)vnO?psUhR?VP!(h)1%0Og|io&g2kFRO5tlfmawS zq(R9e8E`cPkiBcb7Zl|nwumwuWNhCRc(E|95$&Qb2pj+0<>BF_X*lQaW?qZomP~%U$hKnfrM__B#5P zmjb7eQi5)uruw4dOr1(5p{j8V6DjpBBw%J0Qlz zGD%MA2U?EK%!8M*FR0@J9|>dD_!dv&VB@5WwTnom}Hmo6vVV&mBJ)$ici*(kr=qDzf;;H6*z=FVngv(3s>;4=CP!uj+ zN>a}M989N&d}VP5{{?>I@n<9XQS=|nFh3*y4;y77znqWvmKTP2XmHv88U8>Rfq3~a z@DFASo1;a2`7!|dUjQzQ0~!oAi&}7siu=J^$g>!3k5Fa_Jk&ExY!LasMOZvo9wtE6(a$gG@3xVS9!=z`>gLN?QyDpJMt0MfoeA}e4_$_+;Oq7e>bhEU>3=)hhYuejATl`iBeo;~6?T3e z=|d*Y3##TR(%uehxZ^Gw=128pzCT@!v)l$zp+R?e(E_LACOb`15jkw8fvCjB^MT$# z$V=eR+1XhgJ-v+ViyckJ2e0}ckh`H^aOHL8kuuUt9dCbj3Woj0Zrr#rRLHAJVbMVV z>Z`g2zI(Npny_bzVz#RO3&q)t`^|@&%?yBAgpV?qG4t?#;1}w)E~3wlAL);kP35z` zw5fvjU&ULJ%a4Sy#P6A)z&10#5GxVQRcvvi0>U&j@nGg#R_=@Jmnfv{qT}Okf~LyS zXDMxq=pz0@N~n2w(B9m>GIKkY$>OQ_ug=ARZ__a#^@Svt4c!V*n1GU9%*<>9_J=~S zhQI2`5CZv0Y?r4hai~5%K9SPYFHltZte2xJCe|7F`D+?K$J-bO1Y6r{ogD5e1V%&< z6B3HuIK2O_XWa4Bg>%AAc8+sldN7>xtbmD@cIoVN{p{-S@gREg)Um`5{QmONFH8a` zO<{0X{u(5|Fs%sLo)X|e@_SE0yJ)4?=J(vtM>IJpR)4MdCQu^ zc5MVUGV8To^dCh1LHypecK_FujLWqMR_{y5f(gP?1;c{*1~&gsdtV-o<=U@}Rm&7< zkjzn1h?HffJW{Jklpz^Yq%zO5*7A@dO2%Yp5RoC7$3hu1B$+d0j%3IX@tt?9wR?Nt z@7VkM_827M6tQ-?$#{Q+ zMW$(sHEO?6larYj8@vaM+AJ6O_MfX(1|H_$_UIUs@*T0Ava$=@OS5HHD1S+4DGH(^ z(HQenB#Fv&11F}xe|c^jixeHpI2~{U%K<+OQxq;?p?CJ|y;kRH#0IttvsR7j6rZoR zx9iBu*N6VYP6klyc6hiHDpeyRBLq?k)o3`=Or&fb;S4WUJ`oWS85wOmW{P~?y?bwS zmHgwky_j$c+@@PD06jNFSVCanz;4?_YDc|ft=yCf^2(6@8m9VEHnJ*4)R^BDC3FDl zO#C>4PIfYdIroU2?pJzx`VSB2DRf_!mVVZ1 zQ(r9=4^RQ|?Fo>?O1dq@F26Ia4BAPkb~-zMMNFfn`EVaz&<#-;)xMja(_5E~SYey6 z42M4+4S4w@c06A{EF8V^N^tjS~ih6%s3JEf7(?EM61k0clIf0rMk;yX?uGp`nq@)~oJ9f{N z5NjJ7cy-}%Gg?1b#+Mjnv=WsBxDsoWt zLm=#rLxXq^(m)Ar6(JW0dJ7g<%}&+0d-=r$j%}q5 zUU|2;AfOVMZqeyp7oz~e#S%n+KyB%@lzbabn-+0%9wvKf`pX%ZA8{Npj14D27YGlzexc7Nh z;YVsP_FoTh^x#k9Dk&0{<;V9B;`j5o-b_C|fDr5Ie;hYx2~N)a++P{oz^Fk50$YR7 zy;4wk0VnIo(W7qD*0?9YAh5Jd4S0L5tk0UlZ7BB~VKWcg> z3!Lpl_8l(yh;3G6dWq5aA+v|b8OKjwAlptKbiF$36UCPI| zPwmF&0_LWME{uL1iW_aqSX*9Ev2)k1440HpmulpUY(94>q=fwHa?`W0<}C*YuW@k4 zkk+l*wp@o;sm**7mD6`;W=-bpM}JZ4>+0jQ;gc#~^Ygw6`=^y-;34eJUYy*&HY^qj z2SJ*!YAgGwhm*uZmc&zl_cUUiqsDUoAT$kex2kDUJ{L4JG^C<(99_E}sysA<*Exdr zJmood_%OQC?E6m^Mx%ar|{Cqy`n1&)6~7tEtt%^9YdPMJu+1z#3-y7&#-Aw0|01W{BagfCkIM2FbSrno zHHL0>i+m#45US^V5wJ59s6V}ltwM06#u9td*49=>=kBlok`>Q3#QXg{zwl-z=ob64 z?(L5a)f+}G4!75a4I84J`dJ&59+%FAQrxgw9w zF9YF+>n5@_VWT0;;^v>m7j8<_BmmgiP;i|4mCQtPIdTz5x_4q$2V^JKGJ|b$*9+0B{HZiWi9UN>MC0Nk^*vS zw8x@T3o3=Bn4BBH|Aew;acdA^+JBnBEaN@Gdq&xz(qepaGOsU0`;LS~a>6$CzqajF z4k5+A57B3;z}vSIHB*vv>GH5B-_JwfO-~9jMaCoH^Nih6b~s<~l@bzD*_WM(=X}^x z(BKH_;Vgc(23Q?rtyOisI#z}krj?@E4>7i&A%=SmL%t=)f6e^ z)zv~mLTb9JU0I}dV5eQihwm|*J$UdS5M}Vo0443|>G{*s6WYqZq0WG?C0_VA<;wQ7 z;iaxxaW}TtFu}pdgyqoGce4W|l|&+e#tIQ5FeyO?tOrdIvY8WLR%z-!NcxvX3&ah> zEb|W3o2jU3a_2W}KeidLcf>XDh94w|^DW0)+*u4JJ0&C}fZHf;;9PU)`{sGp*|+L1 zEC3M}9Mjp8iwGW;Pu>0W?A#n5KR=2iJ02h5`Bx_k*?oqFhK5?FM%;$U1=D9DKC1fv zvvKT+h{K`g#?}V25ooROn>SSu86nbu{#?@Or#%p2KYIMQx^B#03-FId+4ENhz#{HK zgc9lMN{bV)MKTWNC_bn$KcZV+(EUGbx;n*%B3PAgUy+F<=%euYrKNKrQw?=p8%d6Y zqo=lrh@@m^hizGv4gwzQ=FOYet-F`YG`q<%kg%q9&kPEG{$?K^6_!P-;aY9r^hH^)qLN6$u|4myL#d zLhGpgJpI{XQHLCzKK-u(!otFjd6&df%KN}tFMai@HNUe;zF%|p+U6s-JmuZyM)rkB zNu6HQb73QG@Xx906Da!FbDLj@c`i#U7AOJ#IcC@Og{wB@8z5Nyo_WkZt)-;}dcKCP zS3zrL23c}4!#-*FPgASUU0O4_%ADFW$)CecM7zIB23?>~cm4_?;f=h%{n!`l04L;4 zQ8XWHd}FZIx~?hwj;CVjlQbDQ!3igPPmKD(0lk)}NiJ@)&SbYM3BYokgF2|w)t_S+ zF>)6i=NdTGf7zp16;>j6ynqY(-y*f2KlHx=-}l_Y|Ih>L&2+FvSk^ImXzWc+I~GnY-=sp>GE?Z>4rL&?4;HuQki z)25kE>?2W;U11OCc&T4kyePS^(c)dQx^Yd#i@?Jvk?R$V+UPd9UV3Yj7Rd4BOj-Ms zcioUJmz4Fx^mH{l9syP{8LM6&lQxa&NNub6dx||Ts9!$O61bH1GA{bMKj+Ko(Shdo zxf#s`ZN7OLF4b2VnYSKPb6vEPeyP96o9mD@pK(^{`_F6s)*G{h+H0LuSi^Ytr#60J zmYGm9b`d@I{s!gPq_H{~YR!Pt&Whs>UOm-!Dzxto`7Tb}ma46o9xw=&>Gu{VL*{Dd z&Yj4}q40j)*B1)C$?A#kKmkN@^nR|`YRK^ta?P4&eFvgh0QQ(^y%4o7JX~DkT<8Y= z14k;IqOVxnysW#Y*Pd5=ZgD6MUQvz9Xo9-*Qd1m<_62^)es#zsa!EPfDFkks)w;;0 z;^er&+-vi030=R<;q&)jNo9X1xH02%!ei5oN{gCJR&J#WDH_3S6L(E*7&Ts=GdEPs zM!g7mXf!zx1}6o=3PjWZa6M4!h3F-KjG|d{s)F4g_DEDFLZEh7Ab+e`biDo$ORj>| zxYweHw%sm0Ax7@PItGmt`Lc+sn&j4V@;3cr1%GV%9)*vvu?&Q1t|KCVu8Uv$yWW%} ziC@j58rCRzqo?I_$FI^k#1e{Ku z-A8CuYIMI4JzGphlG`7B9}rI^Tsn0h_I=29INGbzjsM~0`|nb+VmG?zRxgddOJPB@ z)8~*h9d^`X(x0bgwuyDKfvGB<9s@t9YS)KX% zS4TI#xAMxf&pF^;m{u^qe%^RxO(~@uy+f8rlM~i2hib$9He6V&qcw~kC|>(sc8;Kkf0M zt*uy@k1#7Iq%}Yv22QjY*#xKqA)|X&(u!A5@G^uc#tLTiz`_`&8a1w*3pLL>z6$R- zkiO&5@WM>r`t-~E(FW$7?*)kiJC?0DaqYcC$2Q)r1sM*}XFtw`;vlRdk`IpFkEEK- z-YtapoFMt|-7nMasoG*Cpjqnpi0&7qi!9?7_3r7K_DRyzdAsIE-0Jmdo*qmuI`Jfx z{NYf2yNxtC(@^(DM6zi2_uUs*w&0pFI%I|f0lE`0Gb)`t`G!b#E4eQrYdi+wJi&=X zQG`jPhWv>BTpJ}PVWREYpJ-#;byS`~1tCysn@$p{QbGonN*K2{c_18J_C){U5 zH3L1j3$rqlP}}rC24H?>>;xJ`K(!wc8Zr|_C~Y7ndWz}-nzFw9#YDLRk65ijSy8_bqx<=o z-*+v&2)K8D)=1R-2cYL|4ED8@Ur0KMGCS1tpsjU!)Nd?PABF4Kb zShdq`D*nqeuNEQ%B~6cF}#4Mzx|2 zc}X7MsuFbPpE%HL<$cnmp9LM&ukYPFlT!T7T;QDCtIy(A?Q~Uz9a`&qWT>;Qvo8+K zls3?E7xMpVEIrH~=vmWhw-h}n&SO{^mbh4Wz*fZHXDf9Y$UUrp6aAVXZP%r zIWv&3zj6}rh=f$u)xODv3#+@Z98_vBhddBpI*;K+HA8Jd&E>uSea1S7yL4MLdAV5>MT#0t=TJ-j@-A^H+q2bhP5WJs}4Y)G=gKD6s7?}xV zpIInrpjlILE>j-9W{%P!E+BPXpCo7t*`nhbhpeLt=KaA6pLp&tz7Uhkq~=}Sc8%Y@uxScE5x6Q^+dM{iYxa_XejaLa}}}gO&kq&u#tRj z-n`k>WzeX;g9*g`_3Q5=^M(wcm$!F9GKrFFfTHH=0QG~Lo{vN)t=tbwipn7lw9e~5 z;u62Djo>c4*3bC8)yfAO!ko&S?tXCn>vs@E|2w}={PS+O>cpS_AJcyj925k&;$wgy zp@szNRwQyu$UdvF7)2wChW`Pe=7b&3bPE(e02T%T61|>wo3)BnrKxG2zlzTQH79ZD zEp*9{lIjP{`IPRhrW>0@dvXS%5>rLddILx?WayDb*9W*Hu$V$$kulISK`;#}OA3rp zYZ>m<6CHkvAR36iO@nA-!sR@84?R)T7t0%c)bR zu;I{X2ky$fhot9mH$8h}hVPH;XQZ?KTr3n;Ib`ciCi`*8<(gLE$fD&La)%o=j3OYl zhukIzA4LE#CR~16fiasQ;*r%hI%kh=R8WV|)DC25H+L{K9Vx%HwJI~+yyNR1)Lbg3 z180P^(jFrH8Z|IY;B`&&+C~ezz1acb_%N3V%`0%p`1q7m!>^=lp{`J{R@vLz)z{5Q zvcVP}M5D&V67EHn%vfNO0ms15bctzYD4N`XOdSdnjmf(3NyRH_YxPlif&3gNbt+__ z0R{I3HPH=``8O(gGWt7ID7?Pu8Op!kj#A|jK7)5BG@ltCZ-P1roUSLIPyD`*kB<*U zYh`8SPta6@=)8L9x!cv%$M9|j2AXg#mkBacqir*&!K`6q)X=@-0K6?;hCS#r7$qO5 zdd*~=94tSQuaA?f1ffiW|Hw?ti%+on>q$CpUmA_Hanc|&5~+M)KgCW8n_Hf!cg3?> zf1a?U*+OOloU;Uo0eJX`K?HR5#RT>uagArT;jJr~RFgz$9X5?<%?W4%VCBe}ghN1V z_)R`KiJS%aY_qIm>OdR(ZHOu!HajeiZ1)Bt7ae4F&BrHINDz5cad8b@-79M$z;Fn= zxwmUB_554gqHoh}c=6gmMFMPqSJ?qDS%Tn1GTLI)Mo5SNdrXMn?aG|UR}*)h8U$aq z4|F2J(}!5tJTlwRdrJ_0orlypTAd<}$^jh=g-X0SqDc?IH!ym|U*!bSF+C6Zlc;9) zVRJHG-MVMbNnKT9+b}3BPp6KF%?xT~1aS$#3vu)ISs;)2w{440F8>JG4-_xz$>dd6 zfwYh;#H=xLUALvlf|WMc`1m-<2R?m>88A{gMo8mm4PQ?yAw+VB20mDAjK@Gve|fpD z8;h_`w!@fSV{8kuPtqix36GBud24Py-LNP_gQ^f-P7H1N3;G8kM4o zC|cX18VJoKp`vfF5wy^_Q4h}I14d!{_7FFA^gGD2H`}1`hI-X1SwLQZq_)k`K^3DF zCDWjtr}UhM_(t{F^8gGZFtB(Sq7f>bNn*>P2uHvpSfwS%CEbqQUM#<^*=*Ti*OX!2 z;aqc93dyi28HeQIT#A?F3dAZIZ=vQ>i<+c5Qh)^*aQz*`;w5$6J8tHAqvAF-Md!8N zK_ug4t3 zX-0c2)W%ia&!JmUN%!e=6ICyEh;qE|w)A6{NS+u&CEPAr-VHI>Mpo7qoNye$*zD|P zU%Ou@Ect*T42a=b6@*GZr?_dDkrqo~3yM!TFYH`g@*ax|6B3z1m#f1>v5!#0F|f9t zz}qL<>_W-|R0wO_kb24ANC<~#KoJrU!s{gl6(I(_h<;ok8W1E5`c6}5Z^8KiT|^(c zx|8TH8e*mofenBj_>YC9f?Wkb_!`zd=ONYr+!fNZFsk->9q*I4D6Vu~$ zAxs?1n*`4RU?hnSsxa8FX91kGJ4kRF%iJnDRD6a*;1|jk+`h^Nr4Fiw})YPbb-ma?F0+%c%L(D7K<5}Bi zGB)n1%Nb8MiE_K_c|d^Nb8*+yD9IXO_>C92Rw$G|8A>1cxt1I!KB8jd0}1ZQ#k3p#J4 zq)=xD@|Xt16^0W`KsTWy2_26{ik?}dAPv@!iHl25Ma4kt9b6(Z6DSoSMno4%k`ExV zHj5L0RiGzc=0XVSeh@;q!M(50w2F8dC}dTo!IjyBeq8|`3nkCo;7~xg&OB?LYM-H& z237-&;?(UM0g?c~b~L9Qdz3oe_qPJLL+$_6%=owc;I zPJk(F64r4a>Bf?s_ddj>o+7ldI%4>+$xLR}0$1;AM+E+-Cu zl-jXSdv@)5J!(&cgEUr!Csf;VY%X9I&h3ILw}C`>d2SGk;bNK1buIw}Hg&c}tb)sGVPF05+- z9)tkjp(`b!s!`;Iod*wDAMClNrM*@?rBIHBd{Huv5hQxS%T8KoBQ8>aN?`AE7hVxK zN19u~!Rlvk?MI21%oG*83kT&)zM~ZY%6G&r@_xJJYYS~`_#8wNTy8YNs_M(dS_rlu zqM*PuctD%s_v4fimzQ6}-WF=>(c&lC-?XFgw8LU8z5{Cqq&yP`hb&;8z^>=xUed_9 zy@ylMvg>IXSKg=Gj|6OLafY9d52YXiLSdx+=tT4)bhe$`#Ze2!Q^0C!gS|Llq&gI! z;|FKG!?J_{I?MsSzAnAD4)xbWezeYc8^uls!34}In4)nt1rx~!eZXNC4szLIWUG07Fdlye0JR0H2Vt8&<>ZkN1XN!2G`$e8M}Z)$85p|K+kjg>AyZN6NR*Bu>-i)N&y zCD_znZI1Fc2nmxJ*LlKt0@3SuW zI-E#&Ld$K+_bttxsO5KXL9e^{xjDN}?Q^^y;PNd(%6vy&AG`_N$I+4fdOjbI>v3J@b)M(-e5kFdyqju26$uH+ZdH{tIwT}J zkC2dTx1rdMudF{gGLHW!9aZ$5Nl0iu6aQ_ibx6BTLc&F&dPYIl{RN@l?FvKfmi!;d z5|@C}3TMw$?+ofXvFB00Wz~RSWw_&_-tsg4=-eo3vvpk-5Q^MZO)naLJ(REOIo`bB`i4^bu&+C-tjhgKLd_wY6 zjx^~%pPX`~P~7%EpWGqP1rV?NpI0|G1=)W-&Oc2@yvKiD*8{m2{_}AijROCFJ`Q8| z)BexLT+;vVzX7$`C6Y}owSQjss2KbD`?IpLw&=~b4armSu@Uc-|B^(g=jy`5)c2f= z0#PwBF*@lY!h#B~SVox0H_Dt#Z+!}&q%yL#vx^nA5%X9Wmv;O8AciY`u&L?Mh{WuR zA3uH!KdXJjTH74)?3tw7@4lWQo6`61JJT=JHa0fa)YN?b{OV$cp8w9>&*gnLBlxsL z?1J+etaWsC3vV<%|M>9~A0MBfprD1tn5^ewqzm`Vc2-ta4;eN&udc4n!;g;|l~noI zeXYb#wX84?jP@y|&!1tlD1}%5igZw=wDH=KCddI<9H zoX&MLi|V|F`0=}EJMck&Yj}pHcw1f4>A(=9xViD+>R`g%$Y;;22>T}zb<%s@I<$Ou z{qgDEg7*u@T}P;YHjLChwrGj(f9GVDqGM%eXY@+x5$ZQizHXRfoH*RpowwQ9FkMnSzVEiK>mIiu8yY`$mj7qzyOobSlgcmAGj zBoOr`nYA}rmA)h_Ue+_Z@SVuBXU}YZ`Y!(n%-5gs)ogk$I$=z;d$*{bsF=gR7awD- zc$vfgQNvuVXZ~bP8NEB5#HZ!vwnQM zWU2NR+f@sTTYkM0$H&W?qF-=BN^oR&IN!csYF4%PUG?rg?CeGrKHfzc!otFaB`)a! zozq=;pR23SPM@6W%t)OOe|siHZjB)9qZ4sRBPb~7psj?Tc1fIslb?}a&uuZ=E-vFs z{Ux`mo!dMWqtrUHjihC#=olCxqoU5n*k@c5M8uZQ4PV(!aJ$n53@uNpI%g-`0F=;+Kc{WKqO{lHH z*EjBbZa@I3p`oGA=3cU-YuBzV{}o^eYK%EHW%7spAcf){#Y37e(p;PI&F5lv0-ImA z*5|dRqv{(QSx;Vn@NK?nOWd|A_rr$|d+m<+Y5!#L)0R-F8YtrG2xdOU#>Te%$f(>) zQaU|ZfnV{#`}ZqZhHty>rR`QkdQrX-@#&MIw6yf>7eB6!uSuu>=CoKOcpsu@+V}R| z_4@jH4i1icl5-r@}-T1C-SabI6w zPEJl|XJ=OqeCSGPEx*rcTwGN2;`ED!cx}g64T`+tV*78I-O8Na3=9mTzkVHhD&@WE zQbIfd2LuFyg#LD3GKrIP{)Hp5SDr88K3AmXRu-48o*vW2iOpZJ4qd7eKk8gQ-970# zTDNEV65sCqB6aokPt48>L0Y_=qUUy`S_%?kkIj8{Y1hbz z;rn!?6*4k1a;xL7qJ<3ecS~nxWpT=SB#&)RkoByQ8!gDqwd^Uh8Z7tjE;zt_eX=9{ ze#}dwk+>HxkYLnHre|E}8v6RKOv~V`q#Korm9}@+CG>pOWm}bX|C87wIU)O_@4a*P z(%QnrXCEJ2IZlW3&6_WUb~l=?jIjODhHQGf;UyZ>T6B#%l#*!0O6a!itB% z<;x#D{szSb(1)JmW8)_#0Apk01>u`+ZnV_YvB)0StSX;(^S_!R%+4!^vYGOAW*NG* zC9C4(Sa+oDSt}n3Js>PRU+GVd@3P2xh}i9@7PO+9Oz_=IGIy%^rpOj>Ab^ydJb1)^ zl|1Q2OT3WrA?~Vg-}KZoRGn_#k-9bMg&Z7n)F|lDqcWF?wjf5q$<7SErxxEb^;aDT z_jj|Fd)kaO$E`ApkPcIODAG}pKkSlb3@Gtl6YJNR)hghk;2mH@;>pc*tPN%NOHC$p zzI)BpvAMBErfyi~QAFIBj*?qbU8;I|dX3RS>gwtvslUd?I3;f;Ys88XWJGPgCCeYJ z5jxt9V<&WEb8DZ|=Rn%jjh@YwG0vXm2a%)Ogks5BzJFipF0fc%tFEq2N=kAGfBRP4 z(AO%3L*C~cj|-}e;KVN;iWH8rj8UTx?oTwY4dz_TVDc8C*zno-`+a?_^UXywf0~8( zu#FEQ&|0Yi4HB!YHHha^9=6 zwVapIb*dX0-l#NW&R995mG?i;&d;W^CU}vPP*>Ez<`SwQeJUKv0ZOR z^j`T}2`9~imidYj6R*~Uu=q)K7WWFs)0upw|2I3Qb1`V_eWT5fRTFsnMwsF(^4Np8 zd4#>oUeauI7Ct!fW7%ML%Z+zscG3CIN;;4GZkCqJ=P4&%+gX) zK^2TO0vXZKnc|2W#<*$ZXcUugA{Ny_j7!tKe3$c=Ux#}0drWp57AhLvSf6ise*Z2l z71dsG_H$}#ZQ&I)4Gq?neq_T%SKi;e=Uv=_urVmIjvBi0II9hZ)pKE-`)C({hsI$e zGW))Fl}s`>M;|QzZp5!4H-67Cxg-!Ze9L>GRe4zM5O2?|6k~D)y2+f1O`YC^_26UW z+MYZ{FB@3hpH2@}Bs3rK+4QH^OiyrhU-i8RB-b4rkISWEs=i>Wv6l(i`3M1C~v1Ea)Z)-30_&KCSrc&K52+14ee~ z17)5CDTNl1TcZ(LUC+pO?Moc1v8Hrh7;hc<{C1h7@9)%i<&b?pe*QGKvzs0nX)p71 z6MF0`5h}>fe;H^7@GT=FIXN>iCO#{Zor2!O)RK~tHs3NQ+ES>u=;}H%%EyO6R5gwRw%Wv{H0XzK)296ao*2hKAzE+`W6(pPZJ4mXBCIH z&7%~;AJwq$W|(F8^XIGFBct^Z0#TFSO?>UT^LZ=EHa9m1eb($eJf!5e=Eqw2G@e(< zUs(9_$MSo2Kk}NWY!H9zjfV5|PIPb5(kziIgbWHDU0sU{3T(b6R%YrKShCW6e(N_P zQOvt%t3BfB)8&cOgl}o*dAPXl#9ipQbUF*@X|=RFMV)ze7wXHeFV8+VuK;zmtJ>1N z(MeHTU^>RnuaZj#Wa6XK5-;1${%L0tso>r-QfbIhc?Hwm1*tejA&+KJ*Df8uwXyn_ zFj***oJ`uXvT!b(D~rKl>RVQ!t?KCk3dQu=(3)%Ll+xY4j3xML=9F|r-z3O(YRPXT zFUC6p+%9M!G8C30fR9!p-dc)=T+|ct_S1g&@ZqpD|A|U}jY^HUq2zR7DK3iR!7Hn) z`LTLvdl(p!3&Qm&GL3YVq*HY5uQ3$GU( zYI-3V5qF`5i-GlO7WM(DoVBAkH`je*wJ1^L=FO9_6|Vp-dpw;jZrsqzy!@ou;l_>E zVpUC8Q0+|>oYg{FfrqBOM837G>ck?(JX*dF>=Rn{yN{>^xMJw z!9)|^ji|UJGZr?hQ*S3Q*_b+x@zPc=qPAt%H3w--(7tu7L+PW!E1V# zt(KRUH&32-yQp=?Rq~@>Pke0JeMQV4Y%BHpDNrwR$13fzn z(+z)Zzw9Q0@ID2)pk^y`^Xi)G5#izEw(2oQI~fA5nX#PtyzeVpZQ1Sl8#MmKUryRP z)$bR#KX*y$=BP?#2T)jUk(4XpX)~G6Y&EmXCd$mD{%)%jcbxtOj;7k$)H6m5djfPu zR{u^B^pzYh=aN?u1N2z?6m2i_5{irU45gWwS$E?#PR@kgtYVf_*?;!d(1^Dujn_pZ@P6`9F^ziw_GH22Qvww#WQEFmZQ~8*WI>ln{7IZCC;Ab+-SY6 zX95+Yzz6qPzv#W<=h6({+5@@({l|O=hk#jl%2vUQOmE1S_yJ~ z2hRu@7K>c}2QhSKu9S&*E&m~c>CWTA!e+g@RntCj2kI**Y-9I2)5rYyGo|uXWgce-)6vJhYdW;XGxsyb#MZ-MH8p~_U+q*%dHn)pZl>Hmk|7bBf*jFtzEB}>-`qFwR09l zWV72fmJ+sm>`VgEdd0h2zSrPIOjuar#L*bK15Xb=ICe%!Dc|IFQP(ULc%`8}BHgj+ zUFkmQ@tb}+`iTC^GW!5J5E}~Llfvy8v>H=+?Cu^ue7I0F@DL3R4Z6_Lu>_gh`Je%Y zUWua-78mCfwT`?Sbz+pORr8PF>!0bS!0?3WX;BTvkhlY;!avgY3 z^K~I@uq^ABXTpIRXO&MMZ!6z#@KyN&)jdBkCbNlufRF8ggDE=oN-?AgY4Tg^5u2XB z`y{0d&zvFk-olxA?x%g?#0lG1e}Pq_($?NM1*_|odE6?|nI-!Iq}~14YUy{s6my;N zncdg|ad9_b%18S}^NWg#3JT`u=VRr(OO{P@3w3l6B9^ltem2Cn;%LwkKVLTl&mnLr z`%ANShMrKRk435vz&bLN^j1$#&+|j&1lg`o6>x(6U-o_h^$11)q?bxwn zV(lcm%3jTr*#7G=EPMAV=4?M^RB~{|4>LfVOH~%H%()a+>eW))(Le!amHop+oR@mEjl6~ zBgm`^TSTc<*D(9}`;(=R?nyxozGzX@owK8Lf5UYI$V-r=z@$eXsDTcn;t-{b@7kk? zP3r^5D|&KdaV`GIlS(B{2CB0aJ{!N9V#QqvmlaOEm~PluUvVx@a*7hTm|swUs^j3g zsWb5)COrJp=5dgSpdP*F>iKX*bfj)OX*q0%l&n@<4j$9~D*430ucy?_LE&dCFkXCT z(O5wE6_$GPhnmACClnu`G0HM161g>1TwJUt9d+ndbn&yB9cSnQUIMl0ytOx~j78ZX zw4bc!Wbzcd8fz5smV2L-$!?*xwl+(d6m%)pW34O!4Gj$?s3b#FuJz%(1Q|arT{X3! z9?4XVSS4|xW5={E&;^aWJAC1FZU)ZWOi$5NTZ(#1f_zSkyC|B>-QFP@6wjpHvah~L zw3$Z2zI8NAgIyYl4#j2f9#2ot%JTwQ41YJ42HU&!a*VUKepO5<@K2YxOdR;l`la~~ z`gVDr^{1Qa?Ud~Sj+|b9wk^#h?(oz~(@Ec49-$T5=m5chlCcgd@?mW8{*25+27cPM zW}4{SoTlQ#!sw*@V`7-SP5$t7ygW-S8(6ECu8XyPNk;bQ{6zuAwIis@jO%NIUh})B zeUI+juKLv|y1eCegk|5myu|&)FULuFEjzBtdCKI@IJ3pX#x@q)e;o_qp&+5u`Iz5C zy1u^N)yT8R!{bodV0Fl!cKq`XlmW`;G6koZ zD14R?w`?pd^$yEu2db0E#mYY}P8{0O{1f@~X({;?`F!^LZ^kNe*ZrD zd!D}%Wv{y^ciZ^z@HMgiq(_f-Pj?-?{Yu1Js*TBg>9m z&?>5Cgm4qX^=k{-hZR14D=RC2b;fgX!WJ}JrYWyq=ga2@tW2u*5)lZE;>8@}IJroV zmARCw%fgE~3Uf*P60A6Fn(;EXkvJ}8U-@zDN3yqQ;nmMeV2UqEKSqXsoM%=`b<~O! zy~_&a^7yOA5I(l`qZ&CNGTuNHvQ24oPwUKa+spsKn$y`P_l2&La8iTCio z%gqflYMlGoNEQsv!uGoU^eg*qi=VWpsi}hjX;>}?l{o&`9;a-VN~Zz3sjjgxnA20` zPTbghi~OZ@-9q1EvUe=cc>^oF_~of+tf|>N=({EBG+c!a+w#r1pAAu+G@jQp^RFRr z37r)^3`u?}RcIepmdNB4S07)m97v;Yb==WcA*_)*ZAm&eH}~@8OP{rAaT600DS1!d zef##Q3^G5yyPuhP>9e6>v2D^!L9M_0t1eDq?`#gzZCsU|GQGjZVGoDUgV-v_ksP%9 z9%aui(P|#O9DVG>i6?PCe)pG#3m#iJPJiUMoSZQ+<)-N9@x_^RBB!@485UYrR_N>M zRxK_idCxY?oodr}78`3#P4E%mH^!Ic;!`X_+N8*DZZ$WY>8PgeD(2(#SvE~S7G#&D zM3D|WVQD%3^n_Uzd3f|8*8Aj1*f7QnS*^Mx3x#U}6Hn>bh>_>zm_)^HW2f<7^+maqMm zE)mht->=RP@W!NKGyOtp)q9^R1%3~sACr>}EhgI9r=*Xbi<63K-ybk+^v==rhy}FlQo4T* zKD8@8oW%f%>a0bYQE73rnhu5H1ect5!3Dq;=TNKHjgS9EJb$icF_du2rh@N!N=gbK zsP)R+PiSfksoiGM-O&m8GC~SzP&>Y=TIckWxgC1$6Hw(XE@C>vzezp^DPe#a=P z`QC)PWa1pa_Aev42E>OKE7)q${}h-{EXg7*Ygir#y)*XfSAGSxpS`G`=51Z8M-OTr z_89I_+`fG~dPzuL=^sAG6rJ7G&0mxdI!cy5kwI3=>VWpsq^$Z^OWWRmOEqPzw9cJS z=L5@(^t(C*-sv&3ogK~_+tvL=C+Fev28!40fMMP>GHKcb?fS6OPh?pO9R`g*C{dd1 zo`z7O!ki)|D0yivS{s_9?G3|t35v7xXT#p|*)0+pOwy)yDb50J0ZCQ3&klohDu}DT zeER;b)()qnkYIIcMMegO+?iljsdQZdSGR|~QV%FU5sB`XW@m1gn}eMQj#H!0P#3KJ z7QwNlsi`R?sQT=Q+fxZGM?Jl7)xpfMVs>g{&!ld>;X3hjUs=h|V{SzGbt^-gzso6j z;Rk`xht3Vi;LMpb2YGqzdI}%z_S0niShn#WF96UOTXg4P9v=Vl8?VHk4>0tlY1?M_ zOp`L-_Gtd%)Q7ehr27e%@vneOgQadc@7`VZ)OT&~2yL28;IaE&uVJTt9xU$aDq^2E z>+$Pnf91bWa6`;lr-m>ilzw7DM&idl<7k!DHzn`hxe&UZFpbd%aLW6AERx+jYFU;$oUMx4e8pGnc!) zZi*VCf&-7@gVNG9Fx4H|ntsrHC^Tsh)YQyJZ2{*2U(lPDT&t$43^X57dZ=p5)vKp@ zJdw%)s9}EaT8m1GG0SP1y_AIs=l@C$Mt=*mbl0fr_|5NnPD`;4*->S}j;yyeD*R99 z*U*jIZ38creL<+=R0|3Sw8`~)&Xg&e%=f?O=4)8pwfo$&*jREhG7U5-Adx|*df^Al zz1I{^pYFao_$|wj?6g;O#IQ#`Xc1qUuEjGD>tq)9o=@ndUo0J(nksdf(0Tr#y}9`} zSUuAbjVDi@+>d<8Kt(3o*4EzMJ>%zUt@Ow{25f(kZTC$m@(YrNxK~}>$R2gyAfKu5 z@Nf=j5HpmlB9@7Vk5}@kCT)Sf(EfTSn(mspxhS|jKfmoge(Wdg7-x@Hp z86FxsHQ!0;aelUIR$7(v6^V7;dk03Ud+w~A+4i^-yptK9s8w4sc=gK4%EiS+(BsT8 z=+2tp9WW`7T-hv5o|bygd+1R9bo_Yig6N>rD=$4`>KBfMk)1a`J^6EyH(=Mk<9CXm z$s=IHxKDR+>7sF%uvr0PFG`d}7bA8_`>`9`lp#ZMDzzbFF(U(4sI3^P9-rn$v3VR;Fz z>Fg!y?N2RjJuiEI@Yyi<)0}Ji8M&)kt_5Nk7&D>PYekN?Zpk|T`hxFNC8z+o{D6YP zDJNsz5J{9ax^nMwo@n^rU?h0S}SW5!!?%gTfeqP?*yKk$FPEPIz*xkGLBzj!LUHjA)*zxBYyjGdRQG%C# zZT34UXhFSC&f}YY{PRI}pqEUF4htt|OT}*}pI3L8yScf+M5fOfp=FmD=bzYyw4 zt9X5+oN$@Vei6&7rltx!<>=b!L#_#a1q+LoVpHx1dVP`K8NB1jbJ(0G5fPuaq~X*6 za7>H4Ko_NT?i`5R*XJ9ot)HYt1O}3OyMU1AiC6f;rZY`@`XPmV0Fm#fdHtGF+VLWK zK_(%CGlt;I%M9)I;F>)AZg6UCxT*Hux)~fAx;Q^?Hh6nuRn&8)>G6q6i&3c+>5$~m z7q)FTl=zV*l<_lw=SPMb#RQmLXw-w7D}R1`#`Y3Jnorce@2OGTKh1?;l$yucM)@dn zCpJC_-#IlmdXPb9v|Na{ckrIM^Fo?;o1s83j_odLYO}SeJ&I_aOSL*^CUgwC7Oxr9 zP?HyxqdP^u`1SMW9!1ybo|FweYpAb&ZiV9eh^Zc;!U}6E;vzQ!b_W^XO)sGx8DnE( z1x6|q+K4Ru>zo&~)EC3_G_{@=JOPRef9j)_mcSQF-7#jmz;`p8*p z!#L`JQN!}OGDhAFYfF>;YsYoizJCo=OmcK~p6Y!&gVbF6m{V);J9r&_hMBUZ0ZaR&f=tkzww05U!!@O7u|uIA{BU~&ib&sZkGKXkMD|pzgt?q* zp-eIjkwSTm(Yz;emE*m`ES5v(3=T7SCQnqH9+>#;{`_fdY{3}wY`eiWGz~q}zpzv> z$4q{i*sL@hW}qt8m?7%7f&0&%ek`*Y*v)U=>F|)FYa(YYuHEoc9FjK!;ue-?&BQjd3m6{;oW)sn_-yER z+4uVOgJpN-=jPg2whNQ4HS*e2$VZG$PdA0mt8kVCIkD9)R<|qL+7bYzm%qbvf$M!8 zfexWs$)_4}dDB3l8=>pG=V{#)3WFoq{|hpYd&D1(-;wcHuzaHDw{4r*wQE(LzzieM zI-?ieP3X&8mQfj@&Eh*gu-<@A&6B-C!A(g?=@rekLtO3L-1hF${I0Icv*Ea~{DFq1 zrcR4XD#T2s3hCI@=J@qGI`7FN3hBNNQXXi`D^q&3&F+5Ha8*!k0VOfZPPNyOl48{} zD3F=qmBwFA8F$C2Z$ch#5IrS027?X=P)&7bv&s?U%^nzXaNHR^%%p|B<(MRt%Xuzl z4taSl67&~M#HL;zvZX&*)OxO1h{F5Dp)7`A4l4jFzY#rZ(xi@|Ov`i|zR`StjqEZrOFTn`sx%3;|Lz~-kQJb2CD-d1wi*>8rxN*bMl7B7o zDpAsLe~Ivj`IZ|^l+{BE8^$P-w{Eg6RWqBAeki(LzxO~8SMGNfux3|EU9)-^^A6v| z+I8vr;!q8GFBvTw+Fom%J4cKhKFt?Hfv1MIWWAP;mu3(fL2}Z7{`<8Q{j5f#aY^litqx`2R&7CHmeCaZ}`SV{BG7~T={rG z6DR^#u6W?Pw%}v{_NZO^uSMjhJ$UdS_ig#|F!l3BqQGK1Sfk*-lV!6vi7d80jUhJh zgEW+w*Dds~S;g)900)z)Em*a@;Wr>86Kz@v@+N)JLGq(eD4WYAQ3}JeOBnJtR38H| z{hhq%`bI6KEmHFxg3Wfze1CYmGNf;~4=e>q#FlD-Aj$NzQ|en<5ZV6dWz1$bx*N#QLHCz{`+(IwOglmFM_z3f^&Yqn8;M6e&uD zZ|zL#x^qcMsRp^Bvsq7Dn<(C|<`fl)R+NEAW9jwhMr$6n9?U-1I5>#N`bcnZ08aB` zqk$2`EJp^LW2$mkfR8Uwj#H?crd2-hz13CnjJ;!&zX0$T4fKu+h?OplYnymIH;gVV zm1eKjp1yh!9QrV87RZmcaJK<4Kb-6E$;A`tDJi`2##ot@a*}Hw`{VCv=U;vO z`c=%XhhirK5=_EqOPny_xEbe#2js;=j-Q_V2;iB{XlSgfqjURW1-{N*=q8&=n{|9l z4BvRt7uvYq^b34Ww9<iPJS1__eVo`WWT-7L9zB+>nOCkuxi-i3AoVv)2<=%@J{>4*ILRw+pUaQjbW)B zH`Tv#NKwN4nD;$GK|z6*LuP2o_s@{RqK9F+Zrcy$l&F`M zfx8q{Ai8yOs9STxmlV69eq2S!^W0a@Paz?@T-P-hzmAGLe#!w-GyY0ptkf+5!`<-V zo$;ibL?kWi`&P+_av)Km~3ts6Rjc<4noAk6s2bZlgoeLiK- z2^IzPhBP|$FBQ_@VO(6%fb%K3lPEbG)jg!=8&B@*>kFr0>_IT?-TmOGGTj?A%Ijg> zjg5k^6;GS*T=TBDJ%6awn4CNijtL?C{Oj;b5jlg8C8(AQYqubW_*|xqPe?F1fBwmk z+j}g9-`y|W^S40^Ep!{f0Y*3p6s`=x3e*O)67FP4b_M{M@+8I7cMfoPolv*Ji7Is5K|+v7lXg zx{I?N<)k=azq!5r@1H**dWb3%+bTXtN%;wI(QtYe=4?TaQr|7PQr7OsKOeA4R2=7| zBqfP@cuL`m05aN}6x?VTm{K!;uEp%T97Oaze`SHjW>HidZa_3b6ubSMn^OZT712fO zU-pV=^wU*&K8>XSwptjIV(rE=qBAn4Y96t6bBc{bUsU%bY9dGgL?X%nia{^LB3}M$ zSLukhz2T~d&%ce2kH0gkrE%SaVM(Fjkg>LQ*wAwVoE#R^Xm78yKh@68&h|4={#`*A zATW^~Ax%+qqiMgw6yE?kOSp5$q?41Q#Qz+B#q<1P=H>HOSYVJoCU|Hiqrs^U{zuZ3 zF1>w6Bxw%Ti_*fuVzOh8BBUc&j8s;0hCS_xc{${{f=+`iQieI^CP(;9-fQ zf`Y-`bWQnh-);?VZKf8??cAA!0ytq_He_{N8-a)$hKQ;OP02I;yi?(@5Fdyv z+e-etYbaI>Z0c=lvt6|Tesr-IAxY<}qy9LsX60exnC1K96Pc81qbzr=6C6R19FdoO z&{?3%x(;Y+YI;8J+F7{rVRg6fFAukztbJ*?Lbf+*(ZdBots}s!g_%39X)y! zC43FsI=qn=1v=3U_EvPldaY0y5)uNKD8-OKqkx^@)!@>fKaN68niyoMadlwm z6Lg(uyQk?fH%i&7*zoOJ^zLu!6nL+tp~@Y_uM!N9PJyNF+y0L?VO_5EW&{%(n-`QX zg*{Pfe_NF~DSut}*A5pnt5bM+?;J`x! zq9UdhJ=UC}AfwgP)y<}6;EvoJvZhjmabHpUw%pHR_rM3Sj5rTkPme21U$D?Sb&ABZ z)lf4?or#^jNiOIHpibtM_c~Y3tf@*M#vA#2K^ryI*Y7!Y!GOq4_ZYYI_8PWC3x04r zim@kcaK%AhUS7-d4k{`S@-lYJu(?`RfY#VoD)suI9INGEd0F0+jt}vIw6vIaZEqr% z07unDJq7eQ_2Gp%Pwtt1Gm_8|L=L1taSZ<;s7p#q=l8VW10M{(tS!wjFLiZBcoB_+ zaHgXN9)Kvz%*ZFr85R^?Xz?RgoK1pg8*~) zFfm~-cwK#oOqX3aTAxD?VtrSB#@Ncj=AyBqstrYj_z?(Z@3qBSQ{Qg6xD*x@!3Ags zCmu|DD@P7mPrN@LxyTh6KsFZ?9L#gzzZ!B9;`6Akd8y+P_a>r zrUCeriHWJXxfv8WJhwy>-~kh)O``q-W}sWv8SDfqF|T?w>CT-}Qc^t_qDj9n2D9eZ z_=9=LoY8U${PBf3_YIDjlqYMXLbN^-uK>$ft&`tkvTZqqhC&(~39cEq&+hijMJ@(t zb54kD@70C$iy6_d#9_Py^H`WXa&-K|Y~tkvF?U*iH@X82SJy>c=C?dEWd{cbEG8;F z_zSHU66f2MbLJ0b>ZF60A^M15Bm+AHhB*mTAL@F~XN$dR(|zwFzKy~fd8}1W@SP63 z4o0IYNS}i#nF+j?-s0VtE;PRCw@IgqrXt*)$~NcMK!+IGj6Mbw%hq1zxy8{2Gl=2Dm{_-hb@ z=O~;U9o;wAC1Z#6_=NilNJ#G70Ms1zyvM-ENHo{hWYav2tg5O?cYq*ij}!pjb3GXq z7GzBuMWjypE*cs!V+{=^b_=QF$8*uj)MV{CB}u&OxtTqTB#AGUhl7tTGqcs=z}LTv z+IHbDp<7t0;|o+tHHN!zw{0WYS2r-=gFn4KmEf~_SXQ?G-QR5&+90aI>%2MxTlb3> zFJM#qLQA3Hy9sRy?RTMt0U0Hjhqn%c%@qidqN}95cifl~Xi+=v*JM+WP{5+yp1q0z zE(pzH_TC>4!r65$MQ4v98#{Y-H^;3{KN(2wB<>Bu zbxlnd`57=>VLkBSeZW1g{~qSl{C{z1)54TM6}cyL1k4<`un1Usbah8jN5{vBlZE#b zO$l%QGspT=jvg~UCAVy_9k6ng!O)F~K++4-)6>}ILGUg<=nG-=oD7RG!McB3;8}t>CyiDZ~vKq9qPaSTp>he{%1D!W8|}|L|wnLrR5km_g%W-kr82Zg0P5_ zlai)sY%#F2v+voH2RMmXS5!e{IrNwO93Qv5%FZFb_X+YMt3#0u&^)J^fcxp zLyYzuXUI;(7aKy(XD6OJ&ews!UZKD+pTC%WUz&FyGyylvBM>Je;SmRGKQc1%9b+FD zYuGVGM^8V$JUfCG)aF?&{B3lYFuguha*7^E2i-)JnmHlp=@E>Fpy6t#z8=E~AqkGS zn(TXrKXXJ!DJJ1cj_~vI``>!RE-fY`v|E9nKCy+7I3yfN_3DZO?sxLB{3cg`ZkE9< zTmpW5l>tBvTQY#T8Xg{=B|^8EJ6#an@We!Sj)}aGFi!iKByD$3PuB9I+EZ|3fUfHA z@9$zfp$}(E`lXzBNFjNG*Ybh&0Q_vAaGG7J62XLoNvW$4KYtzZC*h!h3o|}!{ zGOE%b(RTcU9~SS9j%lPIKm9I6S)4bzHaGxfd9-EjDYoKNBT*w{>h+3zFxVELGrG9n?slPUIbpRa-QaF>#&6@`Tu3K2d_{4Q6tnGRK{@uHMrBsJB z({=abzwDbo8)~xs4#T_%gVssnd&8Q5DS$kiZ6tp0|fxQv8jo;hTR|u05TpKQAfai zpnYQ_XHWwj5?Y#nmXCxak?lk!S4UT#*~%4lm@uvYRl1ZcYU;HzT&UMwVf7YPbRuaVyXawYA3yKwZ zDUc`7Hi7=pT;fG_?|`VNC}cNyIe@WcFr9e*{2mimoEi)!@W*-_;EU`FqgS(k@UmgI z_w4n1FSKu-{x^@(9k1kK;J)7a@+|mkqDhX^2qq}BJ-0JRsZA3=4h8EyQ^nm(h9)D3Ip{lJRw_!90O* z?7#4@1J@9BH{>^#l*55K=|>u$ewVImZ*RvTB?fjKC9gOZmGR$qB3|gJkCFb`#0K#W z@kL^G=?umHzJ&Kl$KwC{uC~AKW}lJgM$aQH-Anv?*v0=z9qO8zN){*dp&=vQUx$pm zOHMv$_We^Nret3yC+{m|y1F{xyX9SNh;f$Af(~p87O@-DAIhqMzCMo2^2!Rh#9y$> zvDMZanBrKwVF*^q|9>wqal`cfy#>FMbj-|{v6oz(K{C9>bbEEd3M&G)Xg&-fzVHyE zEMo=|vgdmY&$+w1!_pxIFC}1;q)nC~I65RxOkta#*Z@>IILx4|CrCOgeR>HUzI^3Z zEWQs|g6`!{u$0F_+M*7O3`lqIGh-+dqjokJy+c&YzM{p665jaj?g8~Bh1M2`$Y7_< z8BKm-O#BmLxMab9Ls@}^?o6EP%)kaLoj4^{&$j?&(S4uO(BKVt`s`T|ia%-@W^~~A zDZ?Rz{zAcxR@0{abrX^+nuMR(6$ZGg71;f{^o)=Z@gfq)ppqd|{H?eHz0wdMM^iJ@ z{XDuNXb2{N-PI{rCvlhn&>gL6UjOHXRe^y8Xf)ZLSk4R-%WjR?|y5on9>7{?ilo9Z3>V^)prO^-@n$lMwRNdPnVo@%)NQ zgO>L>LJ=fMH@9Q*e@~QsM~qHwD{}6GqN0D1b)Nrv z{OFP0V7V;k-TlX}e#Ee&R-60W?{O-!*5fGRJn-1@HKp5C*0P}ERr3x8Lb)&?{ zZNFG>qX`4Y(5HVzXvzI>eh8LfA&}GOtMhr{c*Du-6r6V_zh(7e#{fgwnV4#hS;Mjf zFC}wK5BU9eP9tz1B8{Ftefko3Hs8&4%q8qqMC$ce`W+V?t!KbWO+qrmHUHjuY=0@u zPem7(1q|q~eE0Yrfw`dtxEt2g1wEZyjR^hY!Ckb`$B&{*) zoD}>Ut*s|On!F&c8PUW9Rp_6!lma~O?=QnzRvAl6N+M+*k&`R`=f?&seC36OFQn^6 zSC)WJL@Ur#`(a3a8j*`P;1sb8lM}}Kcq3T_gn@DoxPRZixA+m=C#NewPSwKTCxA<8 ztE%V}Uuz|lyG|QaZhNK84^Q7|MMc-&eb1genFVry@OPV7s?YQ0<1MiIdlhj|I9XV_ zfwa(Cc|(bWMPmRR8E8o?2bfEE^b3#iiHa6MPKM(M6b$qmtjIKQ@gOz@Iu*t6f<4B2-Co-M z0c>s@IV}g`pq5xDBQ9RPoR&hCcSK@HB6I|u`K6$>>oB9D#L%W9#81b08Qz&F|>wKpz&_RDvR8^1=PQ*wl7? zb_vHspa_p<8LPH~n+?+~@>?)3jwx4XX(uTvDcyI!;gQ13#&+e(l}z)z!r(zXI^%#j z>#lZ)7K#s^J;T9mA&tPp4_1P_m-^kLVhX%gZurrOc5){pjbj}8x*?eks7v*9X=q-c1dcFHBfXLiR3CB+5oufyh@yB>_vZhGpLi3#?>a>T8COM3?LYv+ z>uF22EJ!_{aQBc8AUDu-?Nx-F4VTrK55K%rf)Uc$TZj0_uaB@mac)U+5_$~<^X z_i*-hyJRS8?zeLO@+Lf2A^NpV(!zqvW;NzkR+xdruYYfL>Vvlseg|Jd*NGQG+ei`% zxhTvC??iiG&NvlqT~i&jMim19U>3s zoyT+#(y2GAA>gkt!yf^3zBoHeNkKtDNjU*J3HMm`;RCWyHH%r*DH4+7yjauS|94O{ zN)O#doDVXgL~s7X#kvvYhF3ZlF03%$blIb!rRDpI+`Fd&E>R3kQU2;kMpj%8MjQBG z?Kj8-0y4$A&HjLw8qB^JqJ=@Fwz@j+ECf=qs~_*+(|NlFY-zFrU4!MnnC>6c^j}bv zi?fHB=s_f`0l>z?3B^5%;`^9W{`Jh*&!4l$mI>!mGH|+%deG@!6zWkjZoeRcVeid* z&6`f(yx{W|Bawg` zCmaOeBi?6Dca1iP^HCF2z}J~?4wHGiD~%{@XJKJkrIe|?>0!bb7xO)FPbK4Jc|PWXFc&QJjx$i z=t)Ra@F$V^|Q|!E!f1M8qgU7{NZx(+H z-3;iciwS1SSiBb;2M!!?IT}>_Bz1$F%<^iCQfOhCPD%q{6ABgYxbz?r5=?O4-dqgc ziYdOFJTgvXPLX;2Qt&LMX-r!k48ZeC(28r1^?+~aQ2hVjbNU`;tx~{sH1eCbfby1^ z0byHH3D|iM>F7ZUuqi4T$s!AauhJR0cWbuZdE$!4G~iK2bzi=OgoX}aq6vTt79kYP z^^J{*M0a9)azq$Yi_>lBYU(RM9o&_(AtxcBYj2HQs;K+J^vOIT@Sa24t~n=6-eQ1+ z?Pc13XZ2CE`_8a{D5^m4=&Dl6glhT6Yz+IH1wAwXZws23_A-EEU zO}-{AHSByuepXpI;}I$3_&>)$dZlh%Yieqm!eLC+WM6DT*`!lMX(v+WZWyilRPl9T z*W=CKJpEWIl^cEv{5``4`S~o~VuFI|N!ncE@4f!*MW4i8kwc>8VelkA=sgIsj{v9>5C$@$eb7nnE(7-{vI5Z}a%>)7Tc;Me2`;Jr zT&^@nldOL8e?j^G3faUCC$_h@rt~)df|?O&`i6R6eyauX)*LU}Siu62=_cNb;*Ys8 z(Ws`z##eb+Fyl;p*)l3Y+rxz6779tH;WGvX&#z9xe!611iQMqY`TW_lXTfF?xh+33 z>Z%Jkb1N3vXtZBDh}nD#@r^9S1CpE!`5?VacX1@Kv;nX zO>7=!;!eh}+s|ClyE^F|a||@Q#wI4L(Cz@}ocuqVYwgLSSKj>@t*2L1L8ny6W<+)G z8Y&!&*arh_`%8)tPyuv!@&s{g9FaCGVUJcC4ohejPq+%&aNywDuY0?cuAAP5Nc)@K z2`Ic^b;iNmJf)?re0{DF7sbrLa1IY`Ko{jwRRVdqd@U&}YZ}nI>i~!aAj1GUJo5}R z|7H_{7E*&T&@2omP&&*%EBWG)DrgufxG|qUg~q{q5V|ZHsW|K{@F=baJ;45+s})e9 zk%^E;4h3MSpd5vK)fU+O&eNB+CGk;Zn25qwqw%{(mk+)f0T=zVrvjJ-qF9Iteo%WS zVjYNsQTBr9>D!B-Y~fDflyE#X-GRq#ZOt_v3kZYqLUg_~-n1VqZz5NF5f=wTuJSFFSYd@4&;%LPs!t zRKG;!0)E|h^Fu-cXK5N#8#J<2vTbUUdC4@qfkxll@CPXr_ zN1>8X*?WtksAR7Q*(=2F@lNMl=Ukt2zMtFg`}^nD?VQ_nyL7zYukn07#{F@>-=C)H z+!;YZ&38`-Z&*LK<^2sHpi?106@S1cB``lgw+eZA{RKMBpFZh(o4syz{{B$nLJ^uN?lcLDA224s65-D= z3;MG*FX4g1ZFZC#mxNIf+Ux-ea^OwNqT4O=_RocoVUk6x<1?ZF0~tUURk6&O_wSd% z?)-8;j_e}nMd2yqv1te21KBzQSO!6If#F6>RFqMrGY4v*z1(>F^i;K_PC}gWr ztWBQaTP?@nt~@{IF2((>KeT1+Q6?{C;F8B9G=D-3tQ-IoWwZG_G(->B=v%0eKVKGf znpsb^P$LVB2LxIUTTKtv$y}5Q-h{Y4JRl!zaL$qfAb4!-5H=DdFt7=Oy>t-kJ5DlYuyln~61}tC9?YM}%I(H@df_o{{?5zNTdHD-XT#bR3zrW)oAD)y1B}%m+ zS^;(N01Y8oysS`m&%Dme>Rf>m9UL=`py%?f?DPh?y1F_mD^6y3 zqkv=5L4(>oI$8&lOz0U_(`EfL$e=wL0_cX2Q$kYm0IZEs>kyoo08v5P32xUPg1)5|s8JS1sHr*FMqfm} z2j7G1dZ2c>Z4+`xfKbrCmS`R@CJr*C65Iv%-J+K_n7}v7ak}PY#v$yb^xVr@I8nQj~_jHaCPR_whSC8_Fyne+Ftmy3=pf$ER1jsU=YDN4cQx( zh}Zhp3n_Z!@OfF!&@C0TNicXucX>c?dGihyAAk$+o+YC?Bi~sP2~CLepE}ivZm0n1 z044?c-EKmW0l07QJ?Ot+6~bIcTtq~KjZIz<;?f8pDtN5GiUza`=+R2tXb@O~^k31? zN#H{)j#QTer+B{}Bt__C2911+%K_vn$SEAbXvqT97GUFGVF>#iL4KeY;i6PE!;!8>{oRRA zzg{jI{xq!i##c#4t}%{W#ZlWdV0~|DT#*M)csxyUn?v!Af#H>rT-b(uH4+b~+ zh&D~`?9ccdbg1k_AV1UrLIgm*_2nnJrzS-N1d0K{>&}oy2?<>+vxQ1o(Qqw}F>8Z> zgd~yi+$`v@EL3_WGGiUJFGKEz#=` zkPfJvjf+*_b~h>U_hHRA8sy`A|6JeqLTo% z$=mFfl0jQ2OVSjM-w>pQ&KLb+a*A(3Vj6~(T;c=#J|2L!RqLt$sb)R`dj<#Dj2osjxHO0LGWUNufw-52D7m_$3ujK zW$L{-&w;`t|E32$=~G2e0rJjSDs`hC~i_!-VP&S#|xR_uu_$C<4|kZI;iXl zS~Z4Ol#x-{;o(c)UVXX-W!@FDvCC95Py|43Q0iv^DhRJ}#S4f7*D)!`D~ZCi-@o{C zsr_{k>72P*<=T0@gvwVFDoCIXnT-Lp6LcI8pSr+hF~Ki7{tW-U2GB2#`{=#1)KqRUv9VfUZPJ=|lFgZeBpbZ|hhw-BTCd|15p8U5C&6p{ z-}VkH?E6Vc`sA4zp~1n(%GTCbu4jsQSiGD`@Q6}-ZVsN>;DwoG_`8G-PncvtHJAX) z8i*%Xe)7kB!RLV0T$rw1dWj64Y#jZB+TZpFtii}%J1-Kw((RjnFU!-3=m_!uhaD6F z9LeCYFcl@GP7-;=X-o!r)#js}4;u}=&3}h6MMZuc0R3QO3%b3*bK&8}0kGfAer-f_ znEUJ7V$)yU-kzl7M$jEpr0nw}v7B93zgnQ3> zZbEaa4RygAU>SXu0FP{loiz7j&R>E@VJ?~~5lq1&Au(tr0v*;Hk{lyg0x;n>{=lUP zHr0Jr)5%(7usamEo%%JoNnnqp-FRgPTVxQ*RPcKSP@>0}0D-I!=WE#Rb3@WdX7Pq4Z(VGOFInXAHh7aL)sF|7lq5eSc8&T0ja~brLf&ZiNJvcu74tg65 zJY%q;=R^n%j9ahyZeE5} z|FYrV^9lt-TF{?vtgqjP-vgB4qK3xZMJh$Q2{);~rp>>E1gVgm@iyW?*2wAQ<#&8k zig~2}y8WifOG{TePT~=_-Z@s9OGf?xy;IFa=qgiH3xGiaSU{&{w&mZmXPk;bImzDk zNfdo^=){WIpmlioMhvVJa8Uwa>PCKVS#Pg4ddu)6J`(za3vg$%^r&|?Flam}$?;qN^(io!O|{j>Xr(o*OswT-TR#9m7;07HdcUiXYx({wpQUU6 zk>}&~P%b#LZ!rRV?Y7e-cD`{%L@YJgyi!(Dil#jy??y&p0b~b&rGEhEYJto89`j#Q zOr`AJwHp4bz18jqtEY=uB(CV?RG&Y8UL4q$u;t-*b^6b0>pi{vzg$ikX}09;rZkCy zYmCTqto9^#B&?Yx z__=5*&}P$JxY?YI1_wXaNgr02t0V}-a;TFrMh_d?ehD5d8zfa~y$vRgV3pcDQ4UtY z*bTsp0(S1wiV~C%x?mO+Hl~?(0>a^$)E)+T{0C`iwjy)@xmn=$6+!L=Rs@W$Anu)p z?e?ap1#-4{FonwZ;7PK`@Zpb3Bih@t1J8+X`@22Wqm`y(_JJXBUDU^-zGo@j!PBPz ze|FoL)8P^*1&{#14b=V?EGQsHa0!!HXNizx1Cs#c3$(yyfH1PMvH~+}gDwG9<=j3~ zK`Z~U_a}vfgaie(p$I|ew7)FxVdKVH54ZbV<_miJTlBV~8{dM0a2sQX<}!Gx2?O{8 z%wDx?F^c8#2cvbbU|QPP-|ym4}i%fEoqpuJx7g|0v`_gS}-j$0|)Ad zMVd!7=YOXq>I@A?jVE^Yr*bXKHfEu7>pdsn^z`7JY)LwP=Z$RX9+_=~on!i`49AM8Q0*JV~ zeSf9PSfmPA< zfiVKGw9#t>dQ2eDl|js*Q~c-0^1cm5MKGDYy0$&IJ#NQ69n31{l7&M?z}wm3Q8UMt zG&4PoM<;)|@FEA0$9QoG}F(Fzafc$E5xCLrfW?h&9@)3-waXr?&Oa?4 z-3$hV6^(YGu{=QTUY__JxX|6=UkhC8Q`mD?7Vnd0snRuJ(3&v?HeUI1=-?BOMR>FAlg`(mked`nQpdCr> z`3jqx#wo_|s@W^UR}n4$SmfnB!p>5_*L=q;Z`T;gw=FJ=J4eWXDIc%%l>R1``(V@@=$h{quq!dcI(~6=v=n=1>Eo(# zR>8<|MMYig5t3}cl?Gtm0b&Oq0P6t)_JNZC;6~CC5=3D4p|tdI81tS8WXs6mW zuH>GZWrNRpYSr=qEe5U!x~>885y;EXRgbMLZ@bTA0lER0OF?%7$H@EAB}XJbYsb42 zW4*;fy0Fxd@6at%bGy#>Gy z(XMcyq$bG%rX(<=1~^&&u|1BfcDBWPfU|+)hEXSX+LUU=;gd>r>YwE!aQ3ZSetnyG zFuEZ{%k<67(UfyX@<88{K#yr(6adlzIIk#5i_#K-`$xph*xgCtRz*T$;s*d|+*Qt9 z#FK3Q6B2=~aZYaidYT*M_Odb`GTLDkRLe1ZymXmiR5nZ%Axd5oeEp!=0qNfMk{bm) z0xf6{(-(V6`0iagYI~)b6yhTapV zmJzi|BQBQt+>u_;SDgVm8K|$U6F=Czq9ej_yB}pDL8KyzWV2glvOSY`#dF-VqA@ddeacTG&@A=Mf7Cg2y3|`aP!8E;R>hbgGbPZ0;6;frUI2N zmbdFOZUXKRrY#R@Hu~r`7~7!JGk95mm-MaOmWb%+nUi>}e^1n1p+?@TlGk&w9Jb|0 zDK;GLHd6;@DD?PG+*k7Wma%+Mc8iHnYM}vW5~t*@G)zzgvo;)HX4X-XtLDwJ_Fn~C z!sBUsFx@bRe)wYiKR4i&^z=UExkX;Xg*QU9{VPdnzM44-@M5i;#c^wCliSx$6Vt5>}R#DaE(RV4zO3U(%P9cy&S{CAjwV{~4t)lxK-@%iVxNx>A2(vx#3Iowe3Btm0t zD{5q8^91Tv`+YGT!`1CGnJ8l_a!!++eM z*L;l$@hQNJ_e`d^4Oas6C6C?YJ0U)7(0H>ZG<&Zu-ZA@0;_GXMff$llC_3(FZl4=OIAN3Jrxt z^y}aw)ZT0J)E+3t`cNjbB~N2uAQr8hyEol8b|wI3t5sS|KNH+F9Gv^4Wo9Dp+Et>#(uNx2Z*5rF`FZ$?2cCz z%aI~{FTC--R!x88E4jsG*goagu+a5D*`bEq=abBPNOwOV^DbgaEyhi;ng&*{J96rfu?u4q7l<@)sub7M!F1#A%w1~n%GWDUJ~D^93ur;=yW7+7 zKTaXEAZ`J48al;(Vc621v#YRQE?v45B@@>EmI3CS9KymMeAnid#W^@yZC?GlVNjm` zx?xDv_dBP5-7rj^0sgdG8UT0KJz0V2KA2(Ff*Nx0R7W!~y%^-M)07xUr-eEx zWnRgt=g+bcyf{$2yIt>%9zA0vFI1%_ZWOm;AkeD!Z5^gu%!6?i!he4Ea2p3<0pa%6 z7|xm$;M-pgv1f9>wY-Ub1t(Deq{`u?4gv@Q?k`KLu4fbRRT7XVc)Xz*1b4jjd^DXz0S)+@d&emHGLXO4^xR z?n~{WUJu$r?wN0M>DvZej4nK!Aiv=SK4ZW6EMYdmlgOxMK`Ti=>=!riCEb-XW%z5P z$m2#~)d~QQ1w@VmYcWS-JT`h_|lXY$;>4)O?X;4a29o_hziilSmL?5nQ}3r3&4 z%-GnX2Q#BSVWigF;~FO^#>M5rIoUYfL8{Ta=t^fi~F}P!eyFAld0C);024XPV zfW+DZnahvZ2)oix@ul{GrHSBXwmv(__T+yqZDnoE3+kmP@rfR>l3O$g5uL7Y+g%I! zW>6o{i7DIg@EbRbHyUtm*(W%_G!!VZE^BPSuQ-65e>FZVJTmJYYd;|MFgmj-F<2~y zAcdw>qV0cqbhW8wpf)WmES$%Y-VBBobQ!t_P*Xu$Ho(dLPnAz0z}xrr$Ln#!(_W&X ziF{3W*@=2!et_%;eB7GAE|6>a@*@Ihxm@01G_1`Slw$wfLwTxJmE$t|ynrYb;;XNd z0ApBsqEI$!23n#}*q>3VDvJKO&8+=!2@v86HM4Bs2q|D`fG4*okh`BhJ&h)OL!6O548iS6K$$RmP{v)=qZ;p7I z@R~^FKm|g>XQ%xGrGN;1ME~pLm=yP7jb2Yiq=D%(uWuf1x^-HZYpL z#Db8j74f+r*oKJBQj93U3-Ix&X?6goE1>`&B?Isw;S&dEW7&Klz97jUfBCtw1oS(= z>*Vmw-A(N1IFFINbmyPOiS{4hY!smLrKK?dR;or0NE}zjJx6x|0p4qO3%HFdF|+2& zlMhMMHhIqHG@;q{PmAlE*VuqY=KfWs8dxvD!&}={Ax7geuxdcx1%vD!ki^dEF5WJO z&fmDgF?-i7aDrfbm;CoIP;m;1(xbVc{nYHNKF|Wag{jD`<S+h_(7EjhlT`Q?84&{fdzNydgjo$Fxs4F0OxP7#GqeaonL>!{+Ma8@Ot%Ews0w4ph;9i0Xh8U+A*mW;EJO35{#9^U^!$D(y zKfR!009w=3RBrPjom#tQ0ZMwkTNnmxls;^Bd5 z6Cot0VdhVzr;XJue63X}$=!_!ZJwL-$Ry4s1eyJPA= zvVW-fK{a^;qfOH1?EAvChO>hw!e2t3N@z6o01*Vb1cr$TxHt&G$&capqm|8p1_B$i z$Vq_@kViE1Q<1BPZiWh4_03>TuA0Z~PYl?xJhTyy+Athn(6<%I5e0ms9U-S5 zx?a6_ewyS?U|j=Q)|nRs9?EV^Y!e$2!52Z+=>pLL{gnW&0ZZEt()G)iFTp-ZNeAHi zH^8lj7z6Y&5&L0-E<>!p!GImPC6tlj?2>*AfLf4IhlVjHrsE*JOl9x;tSKd@8yA#( zT<~yh-EF=}D==Qym|V^vZ4t(%Z*y#T{e#1?x>Iw0?b=m#rt-H=MsNy@g49{o#RkpF%;?qWl}J)vr9R<&B>Xa%k2vTE0Lx z@Amn6fHTH+p+67jb!XKuZN-d`zw;`9*$@khi!I)won*KMA0d@O#Ej!42$$jGa;=gB zvt)Ms1Rm~X_i}AlV)^?YLMsRk=S;bRN?px%onxJpXZ(ohBgb3CVzNm zfFV=Rxym{U8$%_SI~~eJ(Yy{^#>gnAL|NT2M|XJm|N!;5Fl1Orx+ zs|fkh@inI3GNdWrU%#t-(p?z;_=yu&fQ{&#sSnwJ&UizYLi;+zDD26h9HSF1T}!;q)%sz&-KtkFV=Hleq=?<8;xJyH|$kK5f{? zd#;ys_=blrrSyCSjSG58>V?Y{C;TS}qC5Z0B-6k5G4Zfx>uZcI`5I$Rk{q#Qf-RIU+RZ6iyugPSO-tiYIU)3o!^; zT4#Ns9bvq%W}%T8WB95!8!J%&_g=k37C}7c^|fQepl%VV@}5G z;4eYC^MhV0CEVt|U?*OC65ZWaTpR0t>X+uyo@dg3VPpeyoG85Ggqbm1#F?i!4Xp~E z;aVk7r{zS#PFnj#7W)2u2si2&@gFdtjmKj-S4&!QIp1zJmq)Eo1au}>;4`Mx<+WE}r=9*$ z?L09;e29u@GcoNT>3zN47hBzqS{iil!;|J=s8> zOE^D)Sa)vmONfjw%jEi!VfaGSa=*E#!iYK|SlEzc$I+Ta@h?k3OcAlO7h-jO7oFEi9Deso^{`85s4`-^VC%w!DZ@$zw)i#L@Kfkx4z|Jv|>Ogj! zL$ujLWAhwI0P);QdcKy??y_i1f`b>U6)#zIZDFrbGB9-4ddP=_hB^ymXhYd`k|Mi; zCRPesjPUd3sbUIO<%XY~XllBVe~J|=p?JlHBN;JPZei&zeGe|C|D_G<(y{$4Caq>~!{PTQFSnU^>mNrNeB~}!I~8~w zEdc=dI$%0a9mN4E6hKsfjWx{6nb3J7o-we)31-Ala=H<)@hC~T3S?XrzesH!fI$$D zxw2tg!->+djtg~OKU2UOn0?d3;DObE>Stmv7BD7>1>yetED|{tSSz|`muTH;^ z?Q@mE@s08mBQt=7`1vOUMk2l44sTmSyEI=W^?C&p!&v4dUrHXG>q&)gplvbPd|~C5R*Hw_6T4Wyd-D2H zX37Lim6jeCA-{hZHCnlHa7^pFO4-fN0;o8Hv7|ixef;h!gc;E?9Wk^WCXK2xd?uAM zrRKNrMDAkem{QDN_#0DfjDJ=xc^uH+Y<-`Y>dY+LJGp?`AZ{T>+E>O6d{|I@wIKZx zU|}%@#IQ7Ic<4$$QxNG>mO`4u<7skdTQea!;9ve~_99gy3)#oA^fF8Fk~%&$6Y6x@ zXm!WS6=yu!c(XH}bVAP47|Ri3yEQv;+DDiDzX?&1M@v{e;~Jc+ft8jV5jVfu?y*24 z#Ub`i8Wh1Sa9Hx3&i05zGH!8?)!6Y{^DJ(X%K2=E!W8~DHe1#%%&p)uF$MoP=U6@V zw$1zr%^LFT+^3%_(`Wsj-^VSEOD<%pzjKUqk`{58e%->q+4`NsKwF8zW33&VDdukt z;I9a)1=Cm5^_K9wJo)nLFcp~sEDORGAE-jjW}$@hgIZv}QZunzV}JM7fm0aC#oUSx zvhFLfZ*TQp4xG5`bDK80IgSmLkS`g|DZMgPSuZP6B>J{4v{JxKhxU0FfgZ!AQz=)X zK>8!@qtrtKU!Q%q+9ROuh*a5b`EQ!auQJaw5}F*J ztwBo(iEZvj7ob?#4F)DI*tLJYU0Hzbw$##-if9)zJ<(4}Z#zz;O+EggP230n!G(ei zA?oMn^c4;i<_fV%Sf5~t4kpQXo-8NyW4a^3_(Jun+4Mo1`MmQ+chDy~SLtxh3y#`u zY$-xyB21SCrs9&XoJd+6v+-WQ4;>;a@)hKff%iE9ee7@6aBd$rn#e%;>#cTN0^;uC zSp6X=l|s^2U=ZcM-XjL=Nl!SHkr0&+7*v{^YF<9@E0mLI%;mUjwM}=9Y5B&O6;BBd zW=nOGiAb5;YZ}P-o#Epj`?(y2k@9&8 z34+$>L4!>fnnTe$Lq;HnYwLwuCe!4IoIFz|qxrg-8m_ZVN5nR^M_-#kFUza-I3b)YQySKcb&)2%N%ikHwNp5wiNA>_(^W%{Wf=bwnR7xlL?0SM6f$1kxda7CdqBegoo=TPZapYKNA*}!^2Kyx0eL@Eaj8|1` zYZfG;ohmRdVz8eSqP{KCqte>;$6#-2bT%#**wP^KhN|+WXzJO|ylB!6AXwkQ0|wSX zdB6@W^wphgyX42^~ zeIe;zLuwK~KVot@lQ8rbs-?(WFc1mA$3dG)NhbktQV@jU)uvZN=YEu5a1M5`=1Kb> z@Juw~TI7=#QfNRwVV9?8>OqUu6TdG6X>vauFlH zC}BhF1#W9WnU#)eHoZruRO6Uut1_grN)PYDUGSC=XBWu~|Jxilk=GpA1OalxJ14Gw zF%4VPelA9Sf1p)cHm6-jB!N-oq>1@Bh7>jn?MLr}6an$zi&@+Lr#v|S_U#4lUmq@s z{_g1BM}wma*but3gp-#B^$ce&W26F@_`l1FhWWa~{*kU%ok2 zv*7*RbnRbDvkK0i9sp6`FGBI0+qZ9@%Sn-%n%?K>iz0^jp_`Vj-vTboCw(}xd)r6v zp}r4$j-klw)?6I>3t5W_l2;!FtIl69u$a3|R5cnzfI#-6abylS&raH|vMn`6=vnmQ zlJwUYslR3c>t6iJUB4r2`1zMTso63z<<^%Ho+L)e4I2bKpD%ll_&^9Xv%glj-@{Kn z@a6iR=Wwi%ztM(tAm$1giB!ZZWNm!Yq2@Fy#^4lQ?70J;{z6*j;Oj*brhEyhr=t&_ zI8*)xivR1&-oK_PX7Rtlr%=qaqw~{Q24}N9o?)ls!lM$x3IV#IetccT{vbG?x&5Pe zojNY3c}^9r&8ZC85UYc(T+C|YMS+{Tde(}ib-FU?%1QF^Jo0a$sia7 zv(`5a!sfrDVZn!drvoV@ICwlxKgQZKb=o_Ne4Yh;m&os3n1%_n>Rsrty_k=rZ`|_8>PU9_;nnROJ_6*JRBKe z)M)j%eWst(gHNrSO+Wx=2QoPW zy1O;@O3eR+G=A;*ID2+>_8M@ggfUJWWAH&+9Zm67)Q+0L&nbQ)ZJE|o2lLmvGXfs- z_|MAN4D5NbH46I4=?OKn`f=MH@LX8UmrUvm+18Mj;dG$S`80u#4nToA9KNVq*~3@9 zeGy&M`&H61KJfWfU^?fUUTvb;AjU%isZSH)jvDEh*qxfYXgwM5yCTY}TYQQWlMaV}QY?C^IocA`dr3^_XLH21)F{Mf0uSp(n&dALrjNn2AW_bMC8TlS~h z%gd(P`q6Qz(55}iIXuCM9K*dxf=5hz`!Yq#benZHKL@DD9u)*^4T}YG^*%pWKpB_i% z`_J_}Ed5Xs-Isig`jbh!B>|Ctj3jabnI>y{^yccAoo+XahkF#yvD=Y=H0G-Pw5xW=H@-GLmTbUclC9 zV&C+@zRoihk42+%E894_yH)NoWz4!K0>b`(jGZO_JC?tQudRQJ0;M zXh$fJreAHr2i@%jHMK7Qw8Lbdp-%lwPfG`31u0a8-&5BZdZ~xLD-@XR3|su@uyzjB zh7nx4u;p83|9z)#7Y~euK@$f*f`2a8!*s?B9tcdTo?d>+$&roo=T7@2*ZKveQ2@V} zZJ)W0D0EZF=RQ{ErGifs)jYY3j+$=#?G`t%F^!&&pMyR0llrIERDG$!&mMTv>7H(l zF#Q9^fTw68=77ElV9K$~q@D|WNJsag=Tcg`0FlPI9TnQ=Oj@lwEaC?up59_VL=|Tn z-w+O8{Lar#l>JyEMaXILJ3R{RJFthXb{oWoFu8+QVN`sd?r(h3BhZhc@C3KJ`(^8+~+XD0B<6Yv*N%JC8O!6bmM`!x@UT~ zltZWPU#;SbYK;dMG(hwKP-J7uIrml=O|K%8c#Eb-&Oaeb3LkC>CDzWo_Mwzxr_kOk zqfP6uxy<4oJ`3dl9GdzrYBzNN2;o4P5V`fSdq)4YL2sq72Iolx%Ne>1W}oG?YLBYI zOY5Z60&PFmFXoDKVQkV&T5Ni7Dtk2-nuri-Lq+0M!)TY@t<0adNoE6c44a8T@Jlum zon7{p2K6M^h+)84ZCM~zgu)Ko1C(HrhJijnW-9n0Fxf)HdwDNy&Dr4`#Tc3JMP9E%E`pL7cO0*cYZ0t?wYt_f* zubR~pN-CR>-iGh8qC?_?xVG)ae4g7s_8qk*9_)PDkTko$wiE>UXl8ek{=o?FB=VSQ zHr}hxpEETz1yMFe8W{1Rua_=*xQ87`VmE-!2#N~fqrnW%d7T9G6!erD46E|!!DR%y z;rk%#-p{~hkIOk;gAco)3}gQnNICY zf*CbVmV5}ovG!T;Ob#Br`1bQ{czlg<#@xZTXVe_ zM&(^^T?MSI=lb#ItKeYjjm1h51L)-CpkoE{n>q}{8S3O+MGVVvkW}Ii`PICi?OGn3 zJspWr&J?^&L0$QzzEDO}ne9ZwttxtD?Xs-7htcFWPU!t#8YnO2%H!NWu;j?g) zLw%m7Xv`lM3Bt(qkNI@%etKu_UFJ-GIEb778X*4c*RS7uaGWFyGhSu*OTsKq-{;3n z`;i}?g*a2n(2Xr0=}c1wY@%ag{ASbL`LESfm^NaH zK{AS_wBbzFN;u9dBBJYtojyf%8RnKpbG^#pk3}yAkt|ip;IKEEQ-L=94X^EBAZYoP zg$ox8x9MiHx_}wjz12T0V-8D`@^l6!FDzUqkLpC=QO&-6*V>|ZxO*C*CE8gOCOR?c zm~-)o0`5!Oh^y829)x`Ru$p<;L841^>Qs2;S$D4!ly}A_>mF8#Ge%6`P`sw}nOr2Y ziS^U9OopsYGPIL85V~Rbj&|()dBp>HteO6ViPzx8_~F6wVgD2ycLbE5s}Nd1%8C;d z2*r)TFKHv1^!zswGLwK)ql0^3Gq-wcx&!TH*Gn!t7gQWhRMM7-t?w!(G%*%Knuc^Y^>O zO2awCZukdN%nByM_{f1dd2`=4L}fCEUp1-1)vM)$9{iBGdem7(fyQ3UCkE$ zE3>}}C)dq|%#P6JipN@MFk+IqbMF`0%u4l54$OeS=1Ao(ZC^O4`Tgh+ZGLj{Kt|LW zvur-M$1J0OlIIXEv+vT}G2sC7hGx(Vm9n#}VC~z!k|Am^ZQ#l@{Vb@G>%nJ&=7&~1x%auUh1y&~ekkBSZ>ByMes_E=M093fP~Aj@qK z$1{Ja<%|^=Yffx0UAfpyy4ptnCI8+c931KkK%ZsL!%Z;MK>5FNnp&B@j|lq9C`UW@ zTrU8}D`@$EYVUW~D-)Mg!U# z+U34x-RQ`-DRV3CW&7sI-yFn43Rkln)|BoKEX?6g&=d5;qs7B`y&b%@I!0EaW z%4dYI(B!H#3o_=u>V}^GYROmk>2kz>hgCWH{o28jyq$t*iUxn>7fP-1%)^#C-;QoY z4WgUx+#1iKZqK7nEdr-P8o#!BJNl2$kHJ;-Kl?E-@br1r%J+Ge*97tL+B0-r%*sBx*?7=B9${%{rsVJ4Oih?=%+HM{`!jfHWL?y54O0*+_j&H3rN;=N;ay_~ zwsGtImzy84dDteW`f|tKkJmkF493^al#+GlSB_D5fE4g zI?50jra@-~ETuj0#agb_{j=Tu%LQw@iN1DtC;OGGD+Cj( z_2Ha^F7>|m^&dB1)^9e6=dN;P6|nY;HRxrh5G1jDt0VEAKP7T26liQI5wSAzZxZ)N z85|p@InJEvODTsGJt`AySVL=*6M$%>g&+J(C(+Nlqfp>3sJ_?(k_MvekKl3#q(G1t zDqQu%WBFaL4;=Gs0H;|v@d=DQ48TtI6#m(Uf8c!(ejf~4_=GWju&47haZzMarU)&G-@8~*Mdi%KtJ*~BL-*@HXz{Q_eR-iM924OgES5>ycxQ&XLfZHsOH zpoP^yV*-3_e&TZRQDeGgx0 zzgMM|zW@b5&QH=2J`>-~2fmn(B*7;e@-EcAMW0mviNsNP&sSiSQtNzAwo#>whc#kL zxGEHInB$IfCowl)w$#{<>o(@5a8-ecX6w$9$Du5L{e{9$uNF+AvOhlifg8Y*^*B$^ z%>Ph`6NiQ$kyFGDCH=%EXO~tK+M=kdu288EZWAf{s^awVra?=&#C|Ad(SkIlu#lgd z`Di&0jyCY`(8hgmMg%bFkS!p+!hw>IonRFFmpR~@&BFz3N=w^weSU(q`1zxm_Z?(cq|0HI~iAT#3c!^f%vhChsskuH2%&0UXGK#@)?r ztfh-O@$q+(llP~#$5aMO=|;){1|fYt;zf0`GiOt+AVt{n$vf&Fa1aNaMfI%C1L|^c zAH}2i*`~_+`z?GdO0O@@;RfCo`~=7@;1dk)7R31YAZw0qvC#Xc zRUSEbw>b=>;S)_ck448OKqqZRbuWB_Cy7 z&uJQ|{(SKO9E^crYVz3~n9o=&z)pqj6q0@kVkt0e9?U(~l8p{yZe#XmIsFEgmc)+P z*C2UyDlUTrA*M5JK)x>xQ4iHC$wHg$hJAg>QzjyJlWZRBni1%g&cf-Udr=U=FOpvK z`o^)za&$n6dLpmRVW8_*H%MmaNfi)EmwXuH9335jtO7oipFtu90yGJilem8q(){8q z{jTRDo+#3bvIvkOOx{GStfe339%85wDTC-Qh!kT{E|u%W5{=Yl5^K$CgE(WeC9Y?y z3Qb~~?nWdp+8UFZ38jF!m_ylMq>LT9K2GB2TdW2mCRoK5Kwq@Fd`r-D(LieN+3vs# zULWi{s>APWX;Kj(gzK@EJ$G_rzqlxhye`B=^+mqYcD9xd2H$Xo02L;8+X;hGEPq+r3dKP!893KhOr8C6hczOc8FhHsiRG4j7sfXMx$+F@2oE z!v|{mpXML*{$H@sZ_oK(iMUdvXWvfQb-e`K|91EG(4G)S>TmViEoV|R(iGxmOMlz) z#G!Vej*dDoy@(YnvpWZakeQog`QUe`w14NS2HJH7oWMP27b5SVnJ^N;@4LCX@y_iE z`efi1V|f%1yV=Tzoo7cm78-kOx5ppml<&?s`iM}TWUSD{&gxsXb}yJ49syunf_+CP!lf)en3l$;e2jKP0hiRkoOnq7k6+3Fh9q!wOWOyTrfapK~xpb>3Y3_S>8PM6X4E+5Z@E# zr@1*fOI6$7;jYkz^3dpky+!xUb(eS2?qHY6#@WmNTV&b~49|hK95iIM+Q=yp^c(+Q zngaYOIx6aZ>I9U$1FK|D0EGtT>FLF4h&o`dciN=R2l^&(y5Qz6c;TxYMskkP@$$3q z0`B~>izT(8m5nb*T0T{-$OPiVnlIdZSsWR~Q59Z=Gml%7<@bZ+W~*s%zzf|1%S@%s zd24+98E3MMGoxP2Q%gUYSZiL}y~z}+-=H8^40x|;WLr*}t$h7)FgCW_9;+@mWWb3{ zFCqGXNzo?m2Ut0UW57R;`uP$nFF2tHKLG1C1ys8_vXN+mi2sdfFDaBNaO$W|bb=H8 zz&W3I9CkfeB|R)+=C%8c)KAOw=TGutA=UnyCgG!( zi+t*D9^dO?<0j$`n(W}V&+=K9AmJ(H#uH+ToD{lK5KbaFh8I~7REp1s*YUBmJfVn} z&+Y@C-FsuTA?d3m@naXV^e!5UoQWUZ({) z7lecmh+dh`Cf-_YF*X?-8tQ3ClCko`KD52F?8!bBXyV^Ew=`#^{t2%$cW2UMhthjp zqUMcq1|@%l;?5NF`lz2bUcmP1;@FEXaStAlc;r=x;{+JT=$p(;?F8VYEVlU#4`Q2` z40Aq;s=)hnp&&og&kJlfy=rAno-_w8EU>2y>iwhx!1NAS;h3hhXz@2>R111l_mSKB zmZT*XZ>SLvi=ye_;}>~L3~Fo#OToDrXwJScD<2lg=BDf#fPZhp=^s5q0|NuMZ{JSP zULtr&9g9b2Ay4iuj5*G~_d#Bm8F!PN3a_>J+fKPG5vl1V=^Ogw{#;wjZONnJ?n5X# z)|7~M^-ax-J+muIHv2t~9>s4F(d*%*;p~3P_96B6B`$U}mZO}mc%UHbz$97!xl^KQ zLQS8FD(e<8X6YG6Jd*WGVV|aUKLkT`0~rveIBXy=G1}@nUHsyd&etEEK!9I{u_8b? z7!XtrW(54dEwX-o^k_yxmJ)X1p#6Fm`*eauWc&*{_jbaXq!BFEm8e8xwAs)%!(VNG5YrO1Z(Tb7TtmmSBOs0i@&zzD}8BM+SQOeeC; zAbNmLoO#3+&Fe5rJtbW; zn!S?)GRw{P75DRTFgU_{SzJ(U`MKX&1Swl$r^=#tguT~K`K*y=PzO3y5KM;m1bS4` z`93AzVLGUyQWr-#o@&}2A;2`MV@UT;UDBYt;TMyF2xXfUAD*vhSD@?~8}o;y27njJ zW5pC4Ee+9s9{zwse}rK1fyXE0phbY@8TY^ih6hX?J3GHEG7eUMcA8P&)Bd0L;Q8LL z=4XRn-7UwK^NV}Oa@)O=V(8MQD986TO`^9B}GH zF>@=hslw`I!rX&&JcstgTd(upl4A+z?R}pj?3uyrNVD~VzJ8JkhNzhzD6HWlhlkHVrG29-7cbgt}Mwp~`WnT*v zrelN~@0&0@$I?gUvJ_zhu+Q7U$K(+b0Wf2k@Lf)=jGF7M1ft`^pB(Fj>;~j8V&@&{4%QwYPR?Ot81sbn*4L?> zMe}Zo=KIBjr+C?tsZEbn*V6evmCtu^SX{x>J6ry&?#qWFBR}tE5jx_q4~N1Ib~gSl%j8p^A zqCt~b4eqIsG`^u{7ic>P|HGfaAV3?TN=f;^D?EPuIGBTE%0jJbdGPd0{(#LZLq4(g zHBE3?mQ0UX=D{m5@$;)|53XC-+XX0ZBq-Y~>hxzb=m{4xrQWrXJ2wiw6@(rT;bqDlPgc9KkDC3Qd(-`+m zpa)iaWLV>IhTg?*1%ySoMM*$>TV1^ZMFc3|7RA$ik79QuUOJbB{FS15;gq?{g|oRD z-12zpMS5lWbxXYK=~66YUCr!MKGe$5jZ3HJKH_}~+VK+c8w^Zb7op7bkK`)Enh9kW z<^O*#1gKWx1RJl22PK7JuHWrk#ABo!G68IfHPk&!)1vNJ;wMG7q|BT^xw zl$lu>3CYUd5!uSh=zm;2_w)Ro-~a!=?(hA5-FL5CKI8p9-{*Op$9WtzenA;tEqR*s z3QVFWO2LCr$x%!(FFg(^@#yyD(~gn zJ3D`jj~nRgABg^p{i*liQ8eUwDo*dM=HZH=RxR6Mr_@~~stJrvUq9OXm5a0UP8bf* z(&DgqrkzeDcG=-Wa?Ca>I_i+CY;5&ysfMznq`n4>uD;xAk+mXg8VzDK? z^!kZOEpTyoSN+D$#>8w&+axUo*+)?*=swql9R;di*?s$N#+FcAEjQ<9Jl1;bb93{n zmoKfoJ+bbg>H0(e2Q`keT{Pr&51ED!9zOiyI5R^oPO+aq9eygGmw_Y)9&ZuOef*Pm z{k?D=_W_~{B}8&?)c<&{q|{gEQknXWo$$^})m?nBL;7P9LA~W|j{nRJ0p>uXzE2-A z^13`J0=i!{R>eLUcKfMVa>Pr#J#Ce=%3)*XeA!%hy^iNSkq?92Gd~tUJ3XTi!Y9FQ z`feM+Z$+0WoYGV(6;hqTUb|`m3tnh;E^!8G!ir7txp*`^zVpo#26H9+EsR>13TeQjW`=C(oiHco1>mI$gO~qlZ zoSG{a?+bnj88>&7y~`6d^aM9aEyw?*HF%Ty@6{czOjWGOm9~N^g{r5{C{)YF`H|%j zp1S^0En7-$qZ?w2pqT0;Q@kL+B0N&cKKId+34>~SgxRuRUoIy5)^5}QD9hUuCI5|) z@r90{fY#%DtOrQzx|;G_hPcSmk#?*py z4%*0s>|Dha%!vV8D4#%eA>4)FJ z3}x)7u1i)nZFe_eXf(KV)?Ht}`h2zMS;|vJTX!SmT}c#=DRo*#Uh%HjcKR|sA%)ew z+aR{|_U#iOGq-;m`NU9>wQ$_DImBATaR0;lMhh#pahSId)b6rb9Xs*~9k0LTBaP30 z!tSx5p?d}p`p!t7UQNNIGdL`s>t2G=T>o1hO@TIW3Lu^jhbUp?Vj(O+n47Uj)I!f| z`DbQMPB}a@RCsSkMmo>6M&pA?D)$mO85v_C=hDja5L?&NV`5`tV_>ivtfW%Jx4@C^ zqbTHh-Al@v#IBZCq@*Ywj)kN7vgH zYJ1~4ZEe3hX?p{4@DtnkBGX^AIdg#xzHrscle1xw8(y+w9^TvP(tDR(yw!_4CPCCd zCh{sX^Y)!Pm*yoA`Tr5&|o%3x&KZKnR(5S`t9yWRUWR|zD-G^mtXWt-5zaA`M{$25sqxP zZ?+k7zfGg|cg=WCS1hvmF{y1qGs-(|g`5B6j#4HBl5EWdlYiYc`@0I9|7< zi8sC-ArKI9hF)@Sv&8Twh8wv{o0{H9_QvaA6#&4rJ=Ee*0M=FhoKrm_dBf+=1i)fx z&_d7IZ@?B&3!|#e4p>}a0I~hgn}C9X0({L8_6P#rXM9Y|w?7dUmo81>C%b2`DllIC zt;Q5*Ir6pffF4%QmiBfc`d?eCMu5IFq|kGEWl)a+RdoDg&0sG_iEmt1*y-%($}C!QNgPo-w`GgrOjI`t;?^ z+E-7Xjv#(b6W5c|FAt0ItI?ZUBszL}7?F+oMsAWkixaqL_BW(CAcFsE62rZ&Q|gvZ zPBXAgXiArbvsncf@vsA~{)H=}urMa6*M1B%44I^ziil%yE}Tw~IBRB>l$6x8_4^cP zGjjd7B}k4>d+F=zC#1^)Ux%@#q&5uC3*TERuBVq)R17S7z$(0GHpn>HdAX?6Qw(A~ z)4y!7{ru9`!SHsR>Z_eRer>}iAV9uHp`Rjn7}WV`k<)(ZrO%#yN8LL<(%X2t0 z?G-1_??oo*ZGgApw7pTcOj)orv=N`#(oZ{ev9d&G0&3{{n~u2;i{<*EJzC~AN+Gk{ zYi4c^C$GQXoE9Pzott0(@8WsG^#5HvwObP^rpG@l$I8Hvr`i-X|mT?BPgEulM>?Neb(#@cd7MM zdomq7a9|Sp>4^OSzP`uSZ(aF#D`xjqELI7+%Z`p4!=c=S;wy>OXe{=a2>W2Y5Is~M zJwo(A3WZmB6or_BEC5^xl9wYIC0oS-#C+>Q0l5Nx#*Gz$a@(<~5KUrip6OZaQ8KT(%1f+bEKRUB*Pjm21-8JllAhY(De@x%b>aW!9nx<`S>w~ zQ-@>U(w%J(n@(35x3(3J@35(@t5XLzn=34Urho&S^{yLp@1}Aw8;@m%$@JENk3vyT6?}r;oF_S!XFav z*w!7L#p4sV<``*~J%~=+qY6Py2_}+n-VT!}6e61?Tc!Clo=I44^?^MA^zmPrT#wz9 z?Vz1sdU)aQ2Na0~D^$l|!V;JinA_x1I&h6pghr7eCTANq_S(yH0uLd5ZxnGrM5Jg#{Qxsffw9xk z7jQ>koN?CCxkudQHql!2EG*-5b1uhj$uo?TK%EU~YK+45c+J|}Z+RP&uwBSPm>DQ* zWhxptViJKPGDcxIE-r3-{6dx(j{l%m}+FzX6LY9dBR)mcB^wFN0*UUhdGYRD&(HlFyLVqY`XWES zeUbb5xr5!I5o2*c6LHWD4GsO<&KP!hEhH@`mpDTnS4Z56H@cG}@zbfPK}o$e)_yVu zHpIx_IRZghRo?p@ad6;nc;bp=kQheTGS7WJ6DC@*>REMn>uuloYX~xj!z(yT3=En8@r!>S zh|{)>4}RY1Y_jFww_`ob$wf7N$MkpEhPt@A*PAp46%+<1-KL=hhWv1Hdw%)1o*K=n zbONFDui4Vl5@exbIGqmRRKfp&ELk}TDm)m2me-6I;T&I!o!DeG!9$Z=y-m1EGah^oL}&=jH=O2`N5lHm4k!c^Wi9N48`%cxM%kaY#8Q zuDSbMzztg&ehk1q*Op&mUa!G|S-x^+=gXHk;Y0@6WIQs0{rtwF4UeyVXKE;_IdkWh`_QOOk`<1ep!)&l7;TBmZxbf;*Clh*^De zbCF{K3{GL=W)uNYp*XuA)=Nz1{%YGLM@QSX&qlhL9++VB-}1~!O%R%-*Y@PqZNZiX0^kVOEB?AD*eDxD*b z>f5iC6&RTp_0*%H`n9;&D1~m9aV3k`6H)_EggiX*JJ^!WcrSiGS(q%T9aL`%AX9vh z`A!YIijhG8$$9wDreZfUv#swX(qGr`BV9#JFf0SMoD+K^`Ph|O_b;kwx|vkcDEQ2$ z*zK`HiD{t6$j;6V*&C3fam|7)YcgDiK5QeS@}wA9ZOjWOB~K-h}9 zbLTDlLtJ8aBbkbt0k^u zCPqffR|ua-#S5?feisZH&MszVpx7^#?r`@e`^}cD4ETxg@Vw{SuUwGM_bO!?WH@ZD z=!QV~6NH_YDf~&G*;cCHWS(!|GWAOK>W(GZ+2Y`&D4S5|v=DV%cd~rlEkf!-O4!;V zSAFgF%(E-MDyk-v0ZgLF9Z)@ZF0G}CYY2ztrC(&%mf!AENU2y_k#?h)p!_}4+qvjj z@Vsc?>SfexI$oRIZA7`3*3R&2)BQu; z0YT~)N3Iau+mqDYSvR)a+D};?pKk>Y2sW43+~DMe=Gr=LvZ~hSMrCnx4n7|m4hiO7 zR3cf0zYJHv?-tN?Hw}mW^-%0+N}aY=jd|}AYst5j5fz9Qt>?Nsc8h-pnGS3GaQTe{BO!PyDXOZHe-y>{ z^sP+ZW`a*A&hl2RYo(*3qtU0vpt=>ps7iz@Q5z%qd^ejuWH0d;%8&l2z@QaWT>5cA z5*DRT0+x6Cd9$*pZ?lG$7;=%AeuqPUSFZmx)YJR*Rhh0k?#jj8{w?RHr^ka7ds*d6 zk_7g$hRx1v<~#N^U1RLsBikjVR!NHZDU)<2MN3er@0(56YtrpBUkhlho(yGHS``GW zX9oL=#pLz=ntx#jAoG%huvSK+=A4t#!i`XYN07gRO&nS_-iRB>!!YjzG2UO^(WmUx z)M}x>1jZe-+PG&MM(-Nu6s|LBTyT7JSMR4A_wPj|dT6#@g|6nn(bYr^A(q~9|G?rs zMSo^+z`}TxQH3%bmR}qtVf@1lP#glpz5SLIu}fiF{{Y09!sNgUnQz{>gO&oPOv~Vn zZGSRl-Jp05hy8B(@oGuEfU2BbEoMJpx_sZ=K#p1<_6l#*?(Jmgxi zSqi7h@jEYKUoY;?CZ87=Z>p6ccX080^=+W`S0_E?UXJI@qfYw`C)wF|sPKx??&MSo zkPrFwKxf{^UTOH-V(7QidkBqj(Du5!yDzp{J}SOcr7R|5np&yvi3Yzzz{wLzi9{zd zTqXSC?39&15|PTorbOv`?CYDMp|EVj=S?TQB@-R&(BR*CDS6j%_=ta-nxI~AjQ=W8 zMW?8c7^%AdaE3ZnUNe)?Uy5-HRev#Fh4*^>+~lqQ%>@9Cp46{=;KQI&!%frJ(J?}M z7uTG?)2H_m@0Q86caF|mtapaBdjDByC=`O|EQBVU@mWPn^Pb?uN78y?*D7Z#?gy+V*vONt9La>6iJFc&%_s zB0i6N`?Kk@87+Z3bebBU2{3zSr)kSKVpKWiu$hc?HP!MBXZfqYiM%M()*u2SuL03B zly>(b+O-gK4PWocH_ovu%MG0GD&cc}o|00vD6i<^T>d;=Fr~ z$RjJ&90P@=c0B<6`1Q{eimSJuWeTUCl@D5)uKsAPaxHwntmmNIZ;8P%&c>w^Z)X;A z@4=78#N@JXecDd(ABT-i74H;tC>%+>t2T=M3MA)b7k4gyk)6vQy^)O@@&Sr^9m08g zY<^$eL;%J)_Qrp05!5uezA*(itOS+_|@2TcB&@9^^tC?AY2toXyl zll$=Ay?Ka-5?#}Awi1m;v2c(SV#tb3E%V&Vb1$JJ4d5jG*|V>-dLsq7yjyY)NIspF zBBgYeO{O1VzGm-3eFzXO!6=Aad!#K=`_@&GtjEJ-Lx-n#N6j40ZY38NzZP}#Wfoca z+hGbitqdGN#PK7}zZ+}twM%kR`ftpb^#mO)EiF7F@!7G%j_uYC3rp6CJhBQjz#)OV z1y~#mt)K0A(*h})M7=7UyD0VUYXBQmuP+W!jn`56S|-Z$x$Z~h)`VVqFzbJV@zHZi zRBr0ymvq=|y}VA)^Heiv4?mO=t)v%|Vp!VEby^UD$hh@8U7;ViHd08ZGqS*G zdof4@VhhpbHOBx1*mj&BFdp{$8Me%TCb9KVw4ZonMPI%MGcr1FjAcxn>_1D%E{%vC^i6$w)-Ge5N#R?=_OF zu9^5%|GjU_%%5+!wcRVlN_g`ogSv(x_pgEQ`8OdmikBoFV}{CPuzvM|NT1xxdvIgPBDd}s$V-C zR2+Nb25E`u;gn+mAx73mQp;Xaqx`_slMhn#+bYmqo+6nuq~^(naM}2eADBa!Hw#m~ zdv98`!9>wPiQz-}`PEgeMw|W0PE|I|mN_#Edlr6-vTak0d}p|Dkagd?K(*kbmkE}0 z=4F2lHrM!2=UN0NOS_R)!B~*!@Wr~1*Qxsrxgwm3p~sKtF5?cp-~SH-WE*-C8VUa% ztoH>aatNYs+cs}T&Qo1KTlx1|#c9_YgQEG2?+Mm!Y5Ny(h|<5}Q{LQev?P^Hfy0Tb z?&39jdly&E?|1U<_FrRg@qF(Y`O-r&;>A9epGAW@Cfje`n7dI%=rpXur2AtdA@eu3 zx2OJyK=6V@6m;^PUMWVr_ro^Vo4RWr0HO$dae|@sv2o6e0w0xPEYfg#rM`Gy;el-% zjV}8_d~(tk&Ps$6Ox0s|_%zmj@)liTA0dRKwU-HMhqXKWp4~x+h*+JGLZ@ISx>Dy3 z>SL7WL-dZ?o*rX@mw#)+xD&V`KRVl4%FUa*^Qhd&a||v^u&?FbpqCY+)zj7e;Jqt^ zUdcEvL1*;!!@*Nj3&!H@|N5Yvd9N9qe&jvk-M||u`WMe#&po+pFCn}qK3>jXShd(Z zGB!E60)o;&?k6VfSvh$R9(;mgS!v4Yg-vk zGM%lcgALk*^BN3pbZfRiy)*NmictHt_TvdC!+wCQ(M$BEoQqCKSVy{*=k0yg%7C~y zI6;3n@#_n*yX>YdEB1woI?#iI`ULsl82v~PO;8gjyAfR(SsD3|Gz(|l55>{zbQ9Ea z_0IaEYc5}JZyzkxK(f@W$+d24t0;7!*QnV`aJgr#)M?8p@9K#cHj3m z$Wemw-nWO5_Zg8)Es5(PR7u7;{NU-m5AzCqXOpH{Gy-8-g5l||FOsv(rzP@9} z4&p%z@&mjn)g#zuz^zx<86Ta2#shkfU$rCq`R-LwIWI3`qn)j<>|jgp0~_j zrH}cje9bp@($JtnPdLb$4d}+BKe#B=M?JK`h&Da{8b+G27EC~Y?2BZXY zimgjxyHAm6ZX?76vicnOvP*(J@%Rov(9063C_g|bv%m89advjLp+!K4pNy6yFfMDh z3*egJ!4sPVZ_(mLA=6!PhjaUiLAFt(TQb#=tQsg|KTXe_z9K%-%O^c zvwC`f3u!5W6%%wWw)~KJN1#%(V~<=k+v%pKKp>y-&nnw=$va3Qmf~32?Qb1Eoup}BY`Iffigq-Tz9U>MAWtz3AVan z$zq6LJGj&H7`^3GxaN<3qmdAZ6gc)k0Z5~Rp99Wu)aT`{!#4nYveD9h6pTKF|HQ?0 z0S0*C6hb>c z6A0I-Y&bK#(3M7!;_qYg-mm*PoB1O zewKHGvubA1 z)ammYgm#CcIT!vB@CNE_lB*8DTujqQOF~|$M^Z(Q;>7Y zhd*ZDKbL4Gt8_@i$W){byr%U5|6fh$-_UYM-y2mf-Sh9cnVl2iiEUWADqkwhatGYx z)ttKXefya{+x)p2LcfmIpeEdXYlEcZ(U2r;&4(&zJl9=c-pg{w5JM>L-!)1vzwSMg zpY69hG^vj}iQc;Rt4FzAgcG~^^J$k4D?5AvMl6EDG*2!M^L9_=# zvWwA%>Bb})7Q9|obD!Y`kxKu?`u%hq(nDic1pgE0eQyJInDlsuX5@X1NB8c*5N?Tk zC#%~N%?uc6y?lAl%OvyMyVF!)I3GI!hTj-Em;eZiBgo#z1Q|P{I0~lqibJ4eEb<_B`p|8Az}Q|mv+x>(_AUX z;4fJ8@n{-2IQ)b(IHIH7DEqc#t*j2PO{m~O9%Onr{a653GdPMU<`D4ROHAq8QnCeD z3Od`Yj->XbQWFhq01BZKdQ%Bj!Xgz7JRzYDzR=&e-&H+WVg!grU35=h;Wz-7TD_lYi}tD(*jmOaAdF-#g)z`VeAf4yYPkCm7{Tn9)xXW5Vo7 z-ur+s`@Q1UZHZCUTP8f8CWH`n!pbF)xFf?7a8_Yd0&q!T=qAWJKwV}6I-8qCjvTpy zcUkEDv}LdC9)kFhOzN?N*pQe?Xj)+Ck1?@RB5yTSZuR|_Jq3spvnSc}xiw5d!$oXL zVZDsERZua*gnVWP+)}V4@EX*vW-6uX2r?JR$EXE+50E5sZhzk40Laz1gfw%{;=MZ@ z)b|r`nbuOc@*CsFiTMF9)hiNiS_^uFR;Qm`yXs@p#dsQm?7H7g8%1!p!H}@vJl5_nh`|eMl zM+$Z}*Gy^({<`=D-FH*2PWcjj0cIYr6ykN^K~nLQy<7iAVaD1lEJ5}bq+)XIx_!^I z*moG@kOr3ftsSmWcIydwENZ2sp`oFwT7&cjE!bF#b9cm3!@d%ab_qPW5PI{7(t;CO zf<=}dUgNAhq(|NP{r$i8-A&}USgXWv< zBOwBLgvbfSfD>@Kn^$i9zA7(V$9LmJhXX7vGU!ydgD6)%m|T+N}rpg2c}BbX+VVP35Zla*31e@6(5or>S^2Q(J~|iU{F1 z-FM_B=)kGKb4uhJh#egrZl=_8|C3q2O`=w9ZVsUz;oULc8ztL4lh;+_A{Ij5+LPq{ zp_5fh3x!>DG}TTokI?BJ2ICVSM&3~$1r!q*HBo54Ma3XfVBF+Q9n#h8CGbco^|jkW z9EbhOR?kSb2oKyU_T-|xxHL@W|EVqYPT+Gn&d2v8$+uY!DRLaAeMr5&GD>&d)g$zO zoe+0_Zi_-f^@@4Mb35Y5f34)gBdKUl;gMj4e-_n*%7dvXN8K2ibgQF;w6E?*)|KdqD}nv#@}`3lN2p zGpKp0Z+rF8ggnJMtp>hnRKkd0;G0|h3*RV(H5(F%A5B4*MLg>Mspoy|%2Yf9DQx#I zeq{}0j^N9SnscY(dFJHZ*TT5nbCLgZ0|WbK?-N`qjou^!r@`}1pHlfsJlbpcKG?|; z&-AcEj&(j1yaaFSO2(_iQ{rCXfoL`fD#g=6%x=66N(*ZL<_U;-#x>)dZ}t+4sExf4 z#hyJ20qdBjy7a5DoKl#Mt!=)et=)ogXkDrRvkTxagRC*|j;9U5sxvgKLtWW*`#)6V z1zv%$>+kKo5*{PqNTs*rJ5KjcP2}bq&r}5D6H3UBruw8AWKGhn{L8MWjMa(JE=0P; zjkZ;3$6m&oP1nc7yR43poh9tqarGzj=g%BHkVk)uA_VFGfplg8kM@uekY*Pe#2t&Sv0z<_3^zjN96^6O8rZEy@noEgxagm^;XJ1|58Yz zA9i zoF*gOg8eH370qKjz;bgD#@h%%A*ZuC;F+z%9ZtpkQS|xq=k1{gm~{Xfz^@tbMh+O* z+RD5w=# zIU%NSA0A>l@Ne?wLxjcko91)``Kx<*g614FWZ47h{pNb9+R3&811?8Q@M(>VORx)> zP=E=&Xcn%X^8fP{K^y-5^Cuc4wSwKXbu%T79b3c7iH@8}@5w7&nd)rL^W z0p$RB_bW3|H+e4*w^0)}&;Kg0On;21!U?x2!OFL#taNVt)!x?Q_cc8J{JtbFYnCG{ zlQateM?^%##YOSjwJr2x;f)F$s%K9dCRj0++`UR`{#@6y?1FXZkt%<`IltW*B)Ze( z>sEeq69Ts4w7YL)3yIQ-A6Xa*_GjgH#RWwCLm8AVdIphQd*!`1`jjd!!$)&J3h+X5 zk3TiY!k}|%mK^>6!X8FcVnu9zUBG2dJ5ISQO$3SAtY*|ZHIlP*d8$)nkoc37{&>>a z=Nt%nSj5zx@v$+$lVgSIXnf=2GFOVR++OrGK%R0g^Vb?6J=7#Jf#ATT}rDl5yzMNLf&(d{3jwGq5`LRifRcrJ$A_y2ntSLc|LA0MCm zT6wH2^u~>tfwnxGZ-WmS#H>iUe4xxgR_4X<7i>ut-m}6V+htxe@#)M}_3Izhx3+#7 zu)--j)qxzVtWhw2*3^i`g|9< zQ_tPei1K2sl8ty_$9JSHx%6^DPhVdj8W1u$dwJ6Sg`Ll2xL}|}Fn})4%sc>H4F2j_ zIrSf)2&$tsZ)Ro&RU*nuTK@@oNF~SkQJS#JOx5o2Ul)ec)%)P$qq|CPKH;v7tjWI= zCr-XxacPMI8~z%)6$y_YPnY_E*ofT^496E3P3dKw%yZUxo2+WY_Px9%YA>(3#A1N6 z*TBx_?EZ+v7R;k3ezV73MU1k^FuNc7`SV_E=u=)5b?@2P|2y@4OnNf}!6|i(FZn%Q z<7`y4DUY;tSFNMNkHsDZrRpQdlMr&!U(*lzUr88f`(B?C!hJfjZ1LicWDS1CFXp2R z)^-@H1XpNfob~UuYiu(4V?TY?m#zN%{?cFm=1uFybtNsqf&X{9WoHKqY{$MZc|S|> z&CVizMp{nr)92?uQf(j2JgyYhaF<&ld5&=v$E!rD_z~Iu5Z)M^Yzb%Vlv+N>kK7{0 z`+vxfhWeven_fxBfx9!kEqxmngW@a6Tfg`FEYMObg&DevvV_MG*Bp|c?5AGfWlbI8 zeRjpsR_Qi)LZ_FGJvgBlcIUtD@$3D8Hf1^?NLPOH zrdZKjm3-?LH!hM>)-pOxn8l_`R5Rh$WZMbtC#KeEbQ65?N~`;#ttWJ*yU7UW&#$&U z`JZ1HuY=rrs8RbTAqdC6S{&R3*X)d)2+PguXQ`f11~k z>B^NmHf{}F`9Y!m*fwkB_fT-y-S3$yb1|?^?yTHeD(p<>3n_lArmQ8npBVR?6R7vG z+|lMC)A@0`PNX2Ts1eo1I^g~$oIh2G& zXbO((y{QC5@uPEtt@z`hIpS{tVy{p2hva(K-Al4!xeQJ#$uG2&JtQp18I}4P08xPJ zYh+-+!pQi+TiE}Uc4(ynErn_E*AgQ^uNf*c{X~SAfv-nvO!rGl7NU7xQNg7MaxK_Y zgS&hM_QdN{p8)9t9YAMC$KMMJC(oQ2FXd=fAy$qqdfRIx`_{GPTHmc~+bfa(y@r+V zLSst4nNnB*+7Gv^x~i<_9>KpCTs4Se@o7JaB)oPX8Ak?g`uZP~exnLGq_XZUM2Ll_Mv}4z6(4*>VYg@Iu zRI#k-NA@|Su9Bxo+4K~}8E?PY;q5nSDkM2qT^oNS9Rh6!%@6X2(0dc@xWEp0Sig;6 zv`vT-FlxHO>QLsHnTx18BOeiwcFZn)x-VZ$jYmIT7_W2Yhkn*ye#YB48EUK#6VqpD z5Cw>=W00BO?RsVA9yRbL$ZT(<%O={Yq zMUI6Xq7lI#U2FCvV7gLl|9+x|79c|?Pa*{wAEQnRUgKlD{S2ggRMr9yPYOKr?d{D0 z=U9FAFyrla-gAnk4buP31xSAKq*;{KY$8XC^mE9AhB1Ku(}gO$3rkA{>_f=`4>f{J zX-tGz4n?0rTWWy$6wMx_+apfr0+nCUPIolcpZ&?xdo!=lPy70Z$_MwFPadm|2ip^! zL}^ILXJ-plT;{3nU3+?I+s^4~X~KE7rHhW=OL>PEss!4JI(JorgO$Ks39ZlhM zhru6=<_K33MZ+qVdoF{IHIjQOS3DIN1CVbtA(&}y7MWRQy?LXXs+pg>Q;_Fp!ULY3xbW&!Y#BXWRq=H9?nE<)`sT*%P3h<;1W zkZ7lbqUWj_+4HxUl4*DF^eI->8ya&j*`Fi59TZX;nwKwMk|L|I;V9jTK*9?&8BJ0H zGqW5W!5+C(-ur@LVhc#rXg{JBD6Y?c|8D?II85>hMrEL^S8vOx^EQDPq`6YqgI272 zUlo5`ytCJ8(Nd@! z^cT52`4#SN5$vW(UC#CS(1h2ng@xkJ-m0XdEH3%dM4`g=rjMw4he^}pV%foeA@bbd8 zaN={lVGus=*5%81fS_XeUvsJctSC005ohiY0&K+#q=tYd;RplKQqs%4S$?HBMZ)|0 zofoq6Q(ku|?@>3Ut=^am-&Sk#SO)?KmQql{OFIAd!ue~b`5EOgm`eLm?)O(^@U1YU z--7*pOz?Jsrl8BXj{tL?7OshOA7Ts7Q?xw8TzB!g3wb4-upsb?Vq~;(i2L8gyu=aL z`!+Ew`s^p`1fBD2s#+Oe7+YJZ)n9L40GDdv`$O%*V?)pso9-q2o74t;%~A$T^z4Pz3y>brRXK1M$Bf zP}JW7tK04E+ikJb`-HF!i_e;xP7iU}tMTVOih3s26~Jjm&}doR#kIv(F9vie(NEKgoUeRN;Qz}8$Rr2_Uozk(xXpCZ)K?@g!^-RwIxr$8KfbTnI z1V3kKE{X1eb={Gh?k$&Ty;ynJ1G(8NYJ(px$PcPA?2m)d9j1|-qDr93PDUqZX;Ve) z^PyEGQ*anlVg6s`NGY$?ZX?8hZLI#`Z^+L-&>8}$6vZe8iX>}a&+X|pV5a7dkIhXsfhkQ@~9Kr-EfV33$@ zY++G(v6+hiG;{0)e~!UvEx}l96Wy#195Mc^BY8mdzq=o6n!J+qU!$*1$4}!DLE5$X z_z7nrr|)WBybkdDTra#3OwM0|HYIRMn@aTgl{W2K&#T{;{PpU}XFWDzcO1XMC zT)K%#TW+D6Nt?*;c*Z30$yRE4=&<>A2CgV4rLnOwm?-9;$d<>^-;vdcw)`5b%D^EY z9ulw0mmhan-m*fs*VM>}$`Z3jedjddb#ljnA2_etW4_f8(8)LOOu%^clu1IB7raA< z_!Lnx>b=n14ayj58jyKthQ?wowor9{@-|b^Sho89Pr`z5nMs5O$+YQh#@~eL53pT;cEQ?!E|eY@>w&s3eG0U&c2u zX$F2nXadcpt*|U#BO)4_k(+y=$WA<7_O}4>joas{B!Ew(ca4}VxE_E5&DO>mct>NU z^t^JtVq4c7GlMx4rB8WVIbKg3DFxwS!HbbieW*&ZZ~I;*b_XTTMCDjIZ*2seKK%1A zF3x`GaCu(d{eI~y<9FBYpeX{vFrhaHJqespTo=oE%FSIw*@}%ET=QvQSLQ$^vyjcM&+edD(A)VP}Bzaf5~`w-yzv+6S)dc9h8EBN-x zuxugOuA2#duB@IZ00Xt+48Ox`_#&s$XpqP)=#@4(WB$M#e&GrVf5CEGD|&r-wz1JL z@pf345#l)p_Ksye6i+p6`Y4`?k{j{}Sd$`vx~z-rx%C7d1;7*p90W}PCa7)b?9nDg z4ADi*kQRtO1$3dYUMHmQTcy}0!^T_c3c`rn66@XB$kW8I$n)%G33UPM?lKl$QJiSv z4^KUZr8GV<77}c<$fCv*Fi3*_MgoYM;Nm(ps=Jay&*CUuLkKCloc%v7kWnw6%{&MG zHkKs@w!9v;s|h^nKnv#gzMD0;;%qLm-zzop={F*3 zeQ5W9UblDm4{sYyA?JBBRH63Z*sn>)_fPEAc2+8=9~>NXA2%SFH15W3<{xnpNE)iG#biJ3 zRJ6AjtX#S$DQr=ZILFxc0miIC3Jm$bk({{n72hAd+V@r6=g;-|RBCGi^d|P$JUv_O zeHKiktvlOlaa>&&WvDW@)nR%WJn>dwz{gjBnes`i9~SQ(oIZwc?^Ew%yp1kUx^Ct( z-Af)G9(aGnLXAg!@HaFCrUomogB+uqsd?ti3lvBfQSQB;xmR!NZ&+6;B{sJ^+fG*J zpWa6%8D7q8eHpLF_B0=16^$}yfk*4}g_?r*HEfT$1qU0(Lv3LUrSazuRB+H@0G{Y> z`e6S;nWo^fyd1H|&hds(q^WMtv=@7%bKNTaxp@;tJlADg97cJR-U}wT1HWo!uwb%K z%6WJ^%sh?;Cev)D#Wr3!Ad;xS$igCtA%Nib z@O^gijJ|4^vYRA#+{x_RZ1<-S-pF6CiLEZgd;*p@LepyQ&3RQ1in*=8i`{#e=6@B% z9aQJ6Jj#G(oEB|cQrBOyEy7-=$EXsJ+29xYj3&kFpj`{`HV%&z*{CL+SGc z3m_~d?_nAy^ef1dTCvvLHV#PVaDe+O=?Zz?`{ zibjhlm}!3Z-(TjraiU?t_%6q>MaWH=2 zosU2?mvm&aP~RUyeqz&ulLq`O((b=jfYq>lTIK zlRKD?x~(#jU6+hmvGs-eu|fc>o}Nc3>mHnX?&jteIbHXXx<)cCyB2poxpbB5dSR~5 z8K&DRMVuc+@AgME?{uc)KHm4fax%pA#Z%JJ+8{07UAO0#dqGT9UpWB%hQD~ZAM&=O zcij>vJf~8KvaM)v^X6^7*5UaaYi<250xP7a9S*)_UqOzBp7_4&=Mlo82&g~mi{5g&RB4MX(zs(c z^(UA9pxs<=;UMuCZ~T`JkNQb%?Mjcy2OD<4q43&j*wQzD7(BzI8#L)ZTL7JYjU1T8 z2H$G8)te4kRkTw*bp!mNBf>51s<_qK-(QXbj>U$SLK!U34LdX>(V3}<1Df>g*|Sd; z#}_~GfkWAm`x3x5QK_}$?^TH5o>U?BgE3M$VZ3eh_f90IKXC*dP>GUR_I1)z`+oBK z@UWEx`;jA=+T1dJF<~0dpK2dZ?X>W&I?W;L1z`=(uGdyOeGU@{s}=yvFuobZck1QU zM$13L>Q`gJj;GZ>oVZfQGB4kv^Atln@OAIbYZm&>`N%rB{uKUxZ#6v`j5w)~cf-Afe_uJ6a{`%+Cd(E?6L(&==pe$YJ|1_>hsq-&1TE)Vg|^ z-Y)OlZ-#y9Px_XfTDjRI*4&q8qrQL8l9E7ZTuM=qq%L^!PS&6Cl+~kS)SehigF;KZ zh%hxoiGc0kLrs03|A3T~)PCYeeT!@f5?Dm06pDFCryl8ajdJs-lNmn|!jN;9&%Fi^ z7oo<4QQMFQ4*QeN{1_e8n~AnZmV|0RXm?M4zdS~gQacWufIFpHTIR9@w-NM|u3`w* zPasvutHP3xmSDtlGV1sANyp76p_Dl$>S^kCa;XUfj%WL4Y$(?=(p3)bI^g>;K8abH z8suJCj|m+~G7Krf{U8GaBz1LlS?8kpLr`N}B2IKkIuXmIsU>2Pi%JrwXQECzesey* zD|3#))YR0WcQpGhe@zL(Yn5;QiaP%veEk4X-9PYE28ge5K_hhy4OswfmgPPw)5$-I ziK(?tCM6?-W(wyyc7mX`rtg}$B-z-QYJz0Tk>;>mDqL;)v83(KryXgUp1!`*p1<3S z-t7LAuB9ltTi275lh3GNbVJU2w(qIx9Vpl8cX$xpWuOj0)B!?BWNg7^tiWi}kM>N1 ztUTKAED*4#YeqkBsmcK8=I2+z#6QJL-L5-z(Wr#4h$NSm`Vogd|9$X{W8*KXEHVj} zm2J%09)THL3~PT{muKRFNC`UZyH56BQjk6Kj7#aVncBA<6oomY}`y^*lTb>B(G-W?8f zQc^|0)$r7^9gl`O6FzOFNN(DT+`k1jdrw8upXFUqO5`olgy&?W~j3L~% zAF2wX%coJpI2)H-To?|O+N?K!@$F46ljJ*NV`2;z4i60}LJ_XG*vMnoDYzKly>$E< z(#45`kLvNR{kcAW2`D8T?L6`GkMw4YGLMRi2g=c_8*ax%Jm!b~F^-NB2wk;UE;m9se9Bl(VOu)I=kSO z4k?t^Hr(7#pt`GKe~e(wuN$@h(#7L>&sv1MSIjqNEu^k(tRg{tD@Q{h(DTN83Dpx| zm^^tU*;+Mr^c^#sCKm%kYTG12+foYao74Hm!l6$Oo}KXv4~jtQtrDB!8mBt8BVNa} z`w2C<0l>1M)KD%+Xe_L(s2j7iD=D-E^8DVEf2piOcUFyJ>1^iV1;1l43W3a|1VYd` ze$OjsMZf+Yg0zrdG}P0A5Oj{2Cl^uyrqB zEDMz-9-ZghfV_~95U>_3|L3|;FoT}EEwl~guS$TSk)3_lOcpY&;F?RPpNUWlUWavY zheJR>fU04t?I(1i@qBrZycQU9?%sXi9StG<&kX_17tLLiQ7=5)M3%nk8plt(BoL~O zJ#MXW{oMF$o`dF?cAoG=_C&bpebW7@VfMIhOtj%lKb&AD*Bcr&b_v{fDHdYsi zbVYf;!XpaLh&N=bq#p$}l(krc3#aenHzCt!k)qD2l~<0&J(po(7utO-`UL5E@y847 zn|GQN3!V?I=x{eGk`UUJ79-0x+s*8Ga!~k^qEgt{j<3~PTUJes;tvd14*KFb3 zG1NC}baeKVsc&a#EuAht#MyU(j7)GasQEhLI@Fbj(cx&7r6_$1Rtm!LA#G#JaD)AH%TtsIpp9fKWKK71 z{cfO>=nCcV?~Fud4r#sL6(5ln*^N!Vs@%Fd=!3ZMT94MORo9sP(v<_NLIq)IZBGwD z`SMAK`*|aU4<@otU{zi#}Vrl6FRopWg+H?Bun zfLSp4cAt4_$K^@8w`d(jJ=5wN=qFZkr zr259ChS2_{9K8a{N(u^W<63cg-CYZ!8S}e>tt_aL4_Y*=zhm7sYD_IZQHRoC>DQPQ zq>|6xS_yI#5|?(1E_TtG~`0&IJcR7u%dS9() zl5F}wQPt0i&WiY)3fmgBd+P<3oRWT4#XY} z{gW*Muk}?_F89(#YJ}gz+(O)BOuapZ&C!^xInUXxZE4Z=JbK~Qi2TLtXB8XtxdJk< zolJuZIjJMG7_4a3i4F1>o36BcdzVDCv@F`r`pG;L+Vt+(fn)bu!f|gBl@VIAsb{3E zhAS3Ja7D|8v2fXrxL#WF3~SWG)jrGfjjqn+!MxneyL2UTYKA) zcmc~lzt;iT^sV;Axe_S<7Fy8!va{Ao7mnQ1ef4#seT##d@{rzwuQ=6{4l)v{zpG3O zaa^5}sixpvcp5U&NJWHmB*lq%sSFWi@ROA@D zAAaK4E3wD=?$S6zt19^8sdSp%+&q(wC(6(C;}k{m*V&6}w$$j}I+hFg(V|}8Xz25! zpN~}1FU4qqDUW6%%`?)tk?vRxzMz9IU{eb%>Q5Qf`iWW??pOYqOqDqx%anIPWkbRs zOW%!NV-iX6sz8DbwMSX5;?o$_Yp3a@qKxG=iVbIzY7J)9qy5zQtQ=}*Xtb9C2t{Rj zdU|(^kn(t-lWKZz#}&m#yRpT;ypfL40-YS9CQe@+yu9-H-(Hmsp48wARym0`C)V#* z9vT`l3Mb1HxL#9y=%ljY3KEGUNmt@{z|H*=D{1C~yu(-`wALlY?%N_kh2wMbng)b; zN|0NoHaZ}L0?VHJ;O-_MZ#}R{hBcLbV?TZj1Ip3R(13^nBGNar-KK%~M)ZXv(`?GJ zP=Fytb0PShuC~r3yymzUPSx!--LR9KKi+Q-_HJeb1-i&GD-_0>fB#_3D!;L*sStnv zPxCu=_7=rx5x@R2WIyryduSJBdR4mi=<#IJH(!X-dI^&O}Xga zG&D54iI!j@A|6d1J!e~aIvgRAVxNxx@r^Xs6to>*g)Z!g6GCvJ8e1 z(ri*vMnB~ujWdn|$HBy8!~l2*;m2iSu3fuun(y5Iu%Ys9}^;G=pO?i0_2EoyoUHXb6%%5zd)M)&p+7EFd zDP=o{|MlHJ^;0L9XCuS+nQgk3%)2Fh^j#;vBkj8O(WRxv7OCDR8c$F8$Cb*|zl|IbG4Qx?#6cASJg(cDIWp*hX@Bp;S@xKnMsE`dubUgrXcb749 zb$y83KtNhL=7+ci5^3boL_;DYBPzlCNS8B(dUTfahpRS90hz=~Dc0P`W*W_y&wlj&i@*HBj;M95 zU2~f$$zVOKBgVlB#Yieg{m9%18*6Jz)<8D3@JEjx2~(Ga!Zp;^mdnxS|Au@EjG1A2 zvx{}j$mm@tZurrH=6#elF#Y#LoagDrGC;J*z>ONp54pLC9^X@e^2AFndIbTxbrD*h z))7+9$VT;M-6AU8A!C5UecIdGV0a4%eqeZ|n_-2{ANh;9C!*PtqVW!b%WlVo1;fUe zW!&v^g%*D)USozr^=;Ya3;Nhi@0D;-Wc{i{&_bA`4e+ABJXBdlbu~A~#TVP2Zp2qG z)gE+Tk!uKq8qp>m;af{#;8gy2suSK25iB5{DktY&cM5eLH62?XS`KOOE71CukWOq4 z(x%`3_bsud!RPNm1b#1nqfr;lrTzv`bqxfHxWP0K0oO7 za@$e}{<{N4!jo1$B~gg@f_TSz;^zPP;rjBBhXR^27Hu%q#j&)FNK5_{S<43v(_^_H zrzjGU&T^<{SmBqJhvM?Hf&!XrI3oy|)0l9XT9i|Xn-#*a#sgP0_^g%#5wB8#9mK`1 zi_vOiWMXQA*aak2p+ra>x}$UdHoA56N1>?#9E(-V_G+&ZF3~~m!M|Li4fUZzwYUs^ zF)crQRTyMtg^K4yB_$2q+3`yftpDq}zznw!i>z)$LGXVjVb)5xY|{BPzs%XMYbSij z@B+C_lS}7utAq?DK*B;ON&)@rX&%~*uPb@4XByI2yof)tg#o#M=DE%h(A^&dOrzpj$FLjl5V zFa-ntAdDA!El@JWHitF-f4WBak3MjV8&=gSovB`cB00x+o{+0O~y7(_#yJMte+vQ#5|1N}vr zo{eqz!Ai$00GfnsYg!IA6;DD}R~J~@h7u}?^(d5GRE3NGv`#%hC+$pzvU_Msn>5e5 z+4SxIwRuh=@<*xpBlNdh3TbJ;yeJy4kwr~A<9n?(`sKfXED^9joU4bym>(Vj2zy_V z;~7s>(~g!?@vj0(aB0h45-I8Fe!pEIRD_erKIixAR1=T~0Y~iRi4+hM%K^~`Gy^eT zVUW$y7LN8bv7NWb8WjjtkQ*(nQec2W;+}?luz1 z|9!SqDZaCnF7n#->*(;4N2Wn2MJrT-hMjgc;{cI3{533?oSI@Z^FIRb2c%4(@iQ+b z3yy2e?GKNPin@e=0PgPGx!vE8Y%>AXxOKtJ({mUaw?T}8pr%EIg`vd}qXe3u?F#mu zx3_m-=Hn^6XOY;oMC`UxJ;MNlpIYwNfuT^oFh9G?sihA3V5<81C)sb965F7;pV<9> zPqIt}kcb@6)Kr;}g;!7q(Dqt1UfGcSBLF$bx*t#mRtK575tLC4GEJw6QPR)7a}mWU zy915DPzNLT80@r?^(LfCTy$g+|1$<#KB&J=(2=5r8AlJS9cuM56`^2EFG4%T`F#ov zO*LkNB{xuPr^d&5VP0?mLU?7FpUf5H{{_d*E*BzE_6M4jWTH#Q|70IQB03Cc4Oy-^e;3|aT z`<**G)xt}{|INMyLerZk0k@?mu?@A1$z}`Q1VBs;sJgb?pnw2$;2%>Q(;;|MmZ+|%GKVm@(c;C0Gx|r- zpa|~eSq^kj{`SJs#oU$nrkbP{wG_-%lY{0FifK3}3V_8>8`=?qYNiy(EKqj(`sK@= z)8AqcsmSIiEgSIP;m2i*dW4K}v!XIWI8e0aL8;ln@^yH45l}f@Jv5N+oSkY_?|h7J zQ``V5;bTk_iKyhlhWNz(l(dtIZMU3#-L~;!ZnD*@(d$IK{QPjBZr!>C(YuHU&f?lx z6k8ya6do2N#Neif9aonjsO3D63F^@he$l)mm)g)r%mM+OvMIxa znn}Dj#_o;?+Y~5rA#4igfQ_M%_C$R`8E8D2pHfqBPz@w1&y9X5Lw7ZA^D1nWM)0?P zpqdJ!1*|GCbD!KAO=2PgA(K%J5x0GqD>L33z zxUxoCio2i1vh9Y_3kK8~O1!PE9>nK|1_Vrxlv1PK7<)KA0_ptYG+q4MBF8pZEQkmj z>~t)7-b05%QJD~-|}2Ozr>(7x_XSat9?>b{67LS!t_h$8q1?7h^)XI z6(Xp|WEIUgB$evzXoQ_TCG!Ds7D|U5APEvP0Sol-b)<9j`Lu!ELC_W$xiEC~zD_E% z2MT=`7f`!&x1fo$2g zZapHBfQn=35&w4Di8PfYz~>@s4)IhPpy1#42w6wl=Ngwc>ut$34z|%Ug@ci=bCB}V zGP+m#XPENH%!7DI=7nL)o&U1kg*FW&Z{^4Ed*JG|o@<2iIi}Jbn0Dh`#={7J{4Zfg z`!OJMDv%3Xiq1)-BGlU?tX{6ps~*I0g8C7~Gu=B3WEZUv{iE1caOOv*dXhH;L}PV$ zP)C1mJ{;Seb{h&cz%Z5JasIuA^Jfm0ja%DD6Rxp&4H{_&T3lx)`hXztZ{Hq6;Qy^T zgs9fCb|I7^F%1`bBg;n|od}3Dpjw9W-IS2Ns@vVjKR4GG8Vy6d<&UdoqwtzWl} z*6g>JSeklnzO8?Tg!tTT2{;HhZfvgC&tJFZcsVCWlse`pK7g>+p&P>N0s?PmEQ3|V zP$z=yZS@`b_Lu|zx95G5o1P9L&<>4hfRl*|2q@f;nyRd-;ujEr!^kioCnJ+Y$rEJ< z7+xjGLMTK;sb6C5`UQ9m$*!kpy#LqeuH(0`zZ$fq^du&nH-59H=MNY&@LTII87&*+ ze{2O}3ued7sqsZ$n&c$5$lvoMr(H*1Q*s1`gfJ4(Hi=|`oacVrUw~w!ItlBw1)iI; zZQXh`NoEeZ6aSXbMhZffZwIEaz*lpF4g*SU@UD+8Cv|Oi{8+VT{X%+v{?8_h*zrIj z?{Ajv$#qCZXG>wB9Dyugz{Ad+jIe-^%H*86jXUK=Omj3wYdJmK=!E@54DdnyU3t?N z+HBhI#n=Fo139&ij;e*njs*T!{H&-9ctP3Ew0V+!(g<0WlFp2{)Z0}n`<^RrB|05no1&%~ABGBOfpI8;Y ztJsPmIfTd`3Xb{`+b{*lAC9G-D2&-TC?~_^AnwDXCylkD+5$DCI2? zP(CpFJUq-sOA8W&OIHO=V!geq4>BE!05=r(S!dmcujA~O>bue@XG+`L6nxM6*v6}72Zt0G{dZq(ACH_&Y&}2 zpZ}J2?B5?w7!aye;Myn1C!=01*2P}Ra&tdqw}>zwybyR^Q6iQVBmTbB0;KBBKs@kI zN{Co7)1bM35(SAz|9+H?-VD8q-3U)dWT>cq5JO#1JH^X|eO*V0-D2B{9;XZS_TmN} ze!tECk-|Ozkp!3%@xkz@oNhsE0D#e$LSTBR`dM4wTgLQCF2Vky9RIS$&PCHm_TQq= z<>LjDihdVHv)>N>-@GKZp11c5Qh=VfF(*I2Tr;&Fz5nZX^40ZEV&VbXu#oXWK1%?4VOXb}sW;xp581MW9%C3PR8vH)TDCAY-Q7 zY(tb0|A$E=)~DpRl~2AB!9OB#db3LsC?HkE5d|b5*@U68x<++kXTG1V+VTx8|H=`f z%nVWl@b72u*Z=oN!)_NA7BcNRF7PyP$CA4hB2u^m2k_wO@Zk_Wg0?$>uLAPBKm8LX zgQz+!Sw-TTT-Y<8X;rWzwmuxJ^7ZDfaMk~`8gWP_5Gw@jj91T3-u!zo*Btv%pY|U> zLu4UKZP}k|@n^!lY+$s0s`FidlI~NdR#E;{a`N&}utDf|C^<^6eWJg47!paa`tTGF zP-8}-vYt(J8qC7)U{;GXlm}p9J8UGY%e4`iWH^MJoVGQC`l@7Ouafw_R4&B*UONRae!WJxVM_ z17`)iR(E!NXx8D%APT<8Y=6}8PGbC%+4L1+HVFR-@ydz{mu^{46rX9eF(giT(-AeC z*C;Nv8ejdgs<&_FphTGA>ke*@>G9(`XKF*AJi)}FYgG$eIwZ^`5Z;XY-Uko{`4{Lv zt|v>w^>-rc2ljxee=zsyXoCa6VfXHj6j`uFyBwPYqUU|q=jC*>L~evl1Wn1a)%PfB z3(&ETIyqExN1mC10q^8}8ukYN=`1`gwgl4Y6Qi45T(YZ%TrnU=9@m4i`Mym$Nf>hr zkB^NUu=AcehEPMGC%EdITjiTKn11OW7)Xn|Mt;$dqRkn7aCJ>>Eer(G=I~x60gBV) z`UiO9ALZl(RDf;X-fp6|0d&9dsi`}%o|!2t=}#arCYV;p?Fpm_1AUF39KU^Xw^frS z$lRE(VB>qM$sMiyLv`_`=(8f;1i^9>hF=I5mH}YmFGIo%5Hx5`6szM zKPomac6EQ*@QQlNY{9upnitiULJ#7$K2c#HgzRN-uA~P#7FY_`4^N z*Y4;rtv}VMhj#djpnZXEo_PyJeSnqZEG?L`W;Z9#91`xAv5>mdB-UAE}%sNnJp#N!bIsSRx4LHf~ z=a69=^yT&n;{p|(c`xML(0~kwo#E4Hlk`T`-9AR{7bM;R!K(1Sap%r)o6R>*JVS2i z0orWZ-OXTVPBG^Tt5Vs?RNCQjRdIOx^;>jix#!U&OjS#a0 z$?fsU9?hw4q#K}Qo4Iaob9{z&Sq!L|nV!Zl2R#W}oI^q5$HKm=Sy0DEsrZ4P+jZzY zde~WjB?s8&O=#ycPr?Wc6qiA!eYJs64(O7=E}{57HCAlR&mUjs)BYR+&kxu)Fo^>o z@|#Y@EVB1m7I$yo7PSeS-tOL_f;Qv@)mhBC#q}TB4Kbf7%!_)Y3kocHl)n*|ONiNw zTbz!{^iw+HYzVpA$lU+Nroz#WY9$?<)N7(Q2&;?h(bCbk@Sz>G(cGrz+fBh^Wy z&8s71FIHO5;4WH5u}uYQW`6#ZgXZ;Wi>uK^mtJ|>uWq3Di5ZXwkx!gF1EhFFWoji zyx}qUY}K}4M?45s9e3vSEp)>egYBPa{$2n(NMfcKe*sjKcj4z zXI)%r9`kZrUb>8ljt&S0k{%t+pXlMiE-E^Ea*wK4Wi*194LdT|`yvx84yfm^=fQoygn>*$dqL4%w*-g}|F3$BRRF}ti$ho2J7Uk3!BNOX182rtVQ!WJ$$==3QPrKpDlih;uu!~ za6lSDb6?!KO0;sOgL~mp(9&|9_BG9S5u^x~SQdd{z zEZE58dV7E?4mKtHS%qVxS-=SOqk1pw?*UafM(tBWlA`vLP7nT;wBdLdr$JdD?lcj8hOg88%t? zT=Rz;fm?KH7g9dMf?9v@K{*-%(QjF?Yyw2#KFFjWN)QuRMFs@(F$9a6+EeFn?y8%M zaTsuVPc4Gz|18>y>E%e_Z;Bt&Y4m~#1Q?8<2a5Uq*p5l7&}P$s{R&wDP=dc>WaKUp z_ZCLD3JiquNBOG%vvzluWWhLiX46RZ*AAX~oRY%lp{1wy>en7wI_Ri5zNQLcl{fA? z4~Xue$x6U?Z>u*{HEgA*_T3iF^?c@gx)T}EJ`yBUlt0WeRF7>CBh~|K63`^l`s4a^ z+&mEhEETRby~2j}S%YAsVD6lHk^>q@@QAzIBrmBi1tO#ya8P2e%F3XnYHMc)p?+i~ zVE6~E02FUS4qti7`_#HC-xR{ox@_H;rmqaOxhHs-B2rR6i=tue9NY5<>oE)uiBZ9L zJb|l_wxFA9zcNruw@gVHr}e(RzSm>SQajJh27hRGg;R#d-Ijp1jci?99F!r85NC71 zL}7kYx|Cu#nrOH@t}g8bMQ$#aK-5}uF8hv_ZDLHuXPe|Yl-2NXb5m^3`u4p!i_Ost z^+)}qbqL=u6g1s1)E_gK?1VQv6>nt8t4A((nBN?l=<4J?;FmZlg2r9Vrg~+NI0H=y zM6e_mG}X5Mjv$ky(~U~&G$~8;(K;!D+58r7BZ8(SCk~m9s6k>(95FL&F2B;+8|C4a z+2Q0n-s+Z@Bq9Zuyf^$z#nXqF8AARPU#{)#EmOt9n}Ff~ctvlLv6EnBF#oZ<28G^+ zIVJZN%_iRXI&)?m^NL#oSP64eQ-Qk}RR_Xac(dlhRQm}c%-FWt#K<@bb_r`XkrZv- zhTa*1h;qb?hRL2+yiU_TZoY1>Z2W~-OWHT5G3x#7)No^G=VJA)&N-Ou`C8uvh*#Yi zcu`kZw}hZP{Pxg>R$Xb_S?u(fbyFCs1Mc~EVZ3fx1R-EU2S%jtseP)d3J47#PQ@f< zOGI?t<-8g zAc8vq;3=N!n>nIc+Sc|Ph$}5-5&`?6qKrWR@D6lZDe1TeKQi3IV>WL*fUr$g4HmhL z2(-(uZfS_yvkImXp8}rY&clzo00SlTr=>cXQk2C_H&uG-Jb^HH@{ZlBWSkOF6+L)c zCKoM{Xc$A*@W2q31OqVACfC=0{$4Pw&WA`|8wzyc+y{^;H)dPy1%3s(6~bu3^ut#Y zNym$ru3}4!NY~LK$!N;66ph)sAn1Q-Y1QeN>=h=k?LS?ldCmsT z7V_U0L$|uEhF}AoTu|*2&_t+;>SfwH&wBVZoK^F(*%G^YQK(Qh|jxRX)FzZz=HG~4ywY9tnC{V&IP9fntU3_jH&e)J+Y-FStmJhofJqU;H zKtQ8QP0|)K$T7AmW;!S7-aTyNox65L`$K^aNb|dV*Q2*J5pv`qcB3T(lOR7YFE7tB zCofC?_hVeRHkL#LFQiYOFD(2fsP+!Q@$1)%aF=5jG1d9n-7XYvzkS7LK>+)84Pe{@ z=Q^xKE1&eTg8l|MZ=W5Qq;M_@M*G#!iEBdteEwX^_gH=LoEK&ek(i4;hs~$C@xlzMIyOTmUtHWhNpV#F8Fh)g@08- zJ^n3KmqLIE(cy@Op|>}s^L z^zn@jET##Ld;hjVbsk2`AWUu>A{n5h0el#bQye|AKcEGx9L<+hYWsdR5dIX_>uhsetCie0PVO+#I4+oKTcbVO1E& zZ)or^a`&UXO2jqq^52bDokvRuIGgDFX$DNSIGN@9@GCl~_MMx1Sk8Ks9Kc-4_co%; zfNnmJ3dRHjWk69PSQ2CMd4fo8>ycwMG{8aJqDr-p`ukpEyGm5iNO1y~32i-m3Ji<~ zlvS8N(orDBjLL@ZxGwt72hO!4=mZ#-={1PVsI@cYuFsg-^b3$lLgY;Vv>oJ$DC0(H z0lk~b2s$}si=^!o|F)`Obg(w(OA8@@I=1=;ctOrp1jPWyH!7JUAEkQ%*#H!Rzi$-=n1c3QqpLBJ&P=lHn8<-)E;sLDxHOv4ZR~t!`go^Z z6YDp#uvD`yws$TVAR)gCoj+D-H!fL;lixJT&t{qa{V`PpsE2c{B)RyZbrU1ouCtsu zeHv7;n}>w;zavs+m2!!j>qbpN_3Gvq4_}f0K*~l)$tXVtN`cTea3>y$lN+?{rd~i5 z-yZ42w`6n(OnT2F{)%tzZ{>8zoxukUp}Djy0;8xDrdo~?)He=z2;6`qqQ>_2S@2$9 z?J#tnJE0kYI+jM_P&e=nWiUAqa{2S2a)p=x`~W~QEk$Q#pLyz-nxZ?m+;r|^``>N) z7>73_B`LDhhnt?}Eab<3JclNqg?RC5{&-kmcKD!9L+s&0w`KGj$3eiGK-&Cny}X

9t;FVXd@y5gC`lrA#HkAX)5kkp~ z_0STON&ax*Gdudfkj#L#@}cM~*0o?V89@_3ip?TNlu@&L{`|QF(?OV6%+vFk{I1V$ zi0w*57>FGJ`JoPsos7v;J%|V_L_U>DEQck(pRfvwysy|z744&}m~jU0RE>UNK|w(Q zfd^@$Sj{ttB)dob2EB;AO(MPNCj6q-Hpy#x=H?3^PMK^$GRVULnl@tNQA0kfI73oien#|v0uDRU4XVFCks2^l#D4OiDu1P=c86=Cd%pquWF{HMb-?E8e$ z0vg}0duBHGBfw*!qrRq~W1?;Lb2rmFDX_pb$W|Gds!+@Usz&(K%{f0XtwjbjT;2}c&(IWl!1gi+506-V0U*-s*(YgDXHpoP9^W}4`Z^hz~ z{OKO!M%b1i&XUbkhDt_^|7B{7%qUrb%T>~z7>q6)HrIjy<$p(y` zAC`CvG3UnI+Lm<0|mNiS*)}c7H~qN5twJAXhXJryraQMnU6jUD(P2P`c1>kQi87RRuuF9ib>RGgLqx^Ih=q zxM-vnj*otZRF4Cb`Iymi4lK6QyI)Z96l9rTiFs>p5~&MV<&5U50q0Lx%_uhO zAH+6sKm{?%aeRE-**6|Rw!sq>6AWb6JEi`yn}F=71_XAavN)LmU5#l%9%R7wv~py4 z_}JaWIXl>^`ucj{YM}QWOnNf4Y|u7R!L^-FB&zMGTObUEGZ=(Rg_yOuIqS2|4v0Xf z-?X!uo1brefd%M(d_S$j^Za~Q-Dn^f3YAo-t+ZUYU1rjERXvGG6mTf}-b~YiNAO$# zS6HOo{JIa_h8Rthp*c~B!6#L~`Zm)*p3wg6dA%H@+HP(qkMVxi!{0d#~n&VCUY zd&9XL@(o@3Sc|QcCd1vikOjuWKnX>es;X-7^fyAq?>?6r0UhG=7qG(Fg&7F4ibr0q zmos0=14wagBgt;0PmZ`af%C`UiYA)P3t^=mJGH)>xfCitwOKZ-p@_c?_8ZS7Hivu= zbHP#_8ajbylv3d#y`++2Ai#zP2oX^)|8}|yq(d0x#hK<}f?_>Yfz;U9hiLM^E1B?m zBT4o4Sk-;XL~CAUW$W`ZyJ&(pi@cmMm*XI+8qb(NfYJ==daIlP$XVB0=rWG(};+{eo>T+#!(6?gE=<+D;*4rCNq0HC(~^jrSsrDEZy zkPmBw;cZ>*e6z0Wc3AtC4O$!)1^PEixGa{asu8qiW0wdENeuc@|UH4-RNh@an`PpPN zd|JC3!N+eQIBq!N9~qwhBU;{v#@MZ0ARgN)7=hq>Y#|>#d}Cwbz5}RBzx?u&`@r>V zU4*IPzJ&k|p)!3No{Vr{5PFcA9x9zy_yF%>Ix5gE zykD8HZFAd#w0RQv7l)uHh`6d#SDt-ecdEdAUkg-_&*Q^JIq#ys)wXek`9Z)xsD4qb2!$l{S%6ZVlG`*W=j0&KmXrpBihe#iU!_UTRIIM{+U z1`-t9YC4*ln#fW4=hqB>{)~y*CxF5qHhp=F_B(c^lbYeaRb-U;aKB}|4^&2h;c=-M zLv7xt|9K!F;<$#sw5NA)(-vy7z&k2|SqDCzh2*azj*W61^zP0Ee)&qih zsPA0qb>3;D_pRJDiz8Zlne*X;iNRo*GZ=j+u<*F_&<5wYxlI!Mv0@bZUzvJ;i_ntD zyz&-sJnASro`Wx8kD5iuj^QG|U3Kgk8-Jd;*GAO(sgByvI-s0AcBm0`FQZr#2D#P3 zE3E+_mZPo#_;h%1Fr(fcbz5=Z7pSlr7+*fh8xO9W_)<5tZP&MNQ2#;bJTcs zwM=g$4haC_+_CFF_5>9V6O98nlYrp{5Rc;PKqP?M$3!hz5JO?-qz9{ak3 zhc_&dV#I^54TqbKQfJ1#f4~YzsPA18Oyi>*aCE?tCpfMt+KC*ToZZPY=xJcli5FZg zNi6EZnS0*EqK;S)%=N>E;j1faY8cHBQg&Raw8lByc4qtot_M7|z@r#t92!c^oMThP zsQP>YAZ5$RJp1}Dh(W$_pG7fepoSTBWK126GB-Ci#sxIN_*b!=^YigaIlMtUM#HWA zqj!G>K$yy81dY4rM)rEVX>Q&HwvF~FW5XOKJ~bURHH!B43OMzu`bR>UnicyIMm&=q z16pLz_v7W>>hD(Yzc8>Z`na*C{>iaalu{An<>EPXO^aGyLYngg!}2?5iJwCE9-Cb$1N%+lH?>lq|zo z@Aa^?t%r*-_D|rtAa{2RcqT2do*m_jQMznO9@`2h-eL_gXf3^*SJ|3<>y8TeFGe7ZtB$>KxJ|5mKZ z8flW$x#Wq?_us-aKKL2`l z8;x0k+a;D8$@Ub67nzKrz`cP(zNK*=tvd7Q8hQATl00p@eB|Pqo1K zkJ=yQrusZb*4D6Y)13TRiE{04OG$-ZCukeb3kzFh+hL|3kwfKv)zp5XXgc&Ud|_t2 z2NK2BoC-Yt+HJTpe{RlexK-NL!HwgTQa@x22~@Zq&1i@%wjWafhd zHb*l?t3Ha&lIGof5=j>@=gKm)e{u#Htp_qqq~K_DL+}gp)QVmViDKVpjge#qmn0-X zZ9jI}nxWC3743Kd@?OX~((V{gdDgyt`?ycmb0hDrx(gXD*E%_=S1<9VMivJ@IPRx6 z+e$W)Sea(ee)Imbs4niX>=LDm9WVXfJl-Ti`EFx9AH%w!LO&xbE3Xxm!Uqc@@5fBO zsC%@Z(|@gKmHOaI17io9q;IE^KHUCMdSQ=S;|Es{PnEl!$@RCzX77?eX+3#Unq091 z2D5Mk%Y| zuEJ5Wilg)|3qpFSE@~0`blY+CEdeZ<2=YQHOE$^z$dNA^2U}`N5!*-=9`*FxHTdq3 z-LYdaQBg?-={<7(E;7_dC`az9CJhV@g1UGr;KN2`8dOk^{=jH4biJWt6T#E?$cUw{ zP;^yro^Y#P!dfjtQ%uP}Iy%~%Q|j`zIZ9LyD;8po1^+;fG(h8COcO5jnlh}M&+jBl zJqsD2CZM$wu+u8Ts@d7uah(-tNRX~-5OM0^y6i4QB9UKLQ{JQZ8Ha!C$03Zf!;Wfb zn{_*N%Gt^3efPHCzRUUVEb%2H5GEjCk2AB6Z(T|4;_e>#fn8A0`TPC|YSLc0#Riqucq0)FrA3of3w5?W7*sa-~EJYM!=^$guPweh5u-bY}L& zzkU1mp3e5Olkg1QcjefwGH$cbUOOn0u$~eL2!K5$Vf5^w3^;Sjr-q^ESkDVg-{}1K zwYQh=nF<1>8im?V?w+1GAHuI*z1m96{kZ00?@DWMR6t#9+X2Q#mbVwzN79zd5a$CJ z{n+Zjfgp44(S4>Xnwpy%KG@!DD(CXM`x&qR#w1sWH#IdyMMXgZX`*~;%Hz5Emmt@b z_q+m>?3-!KEH^HZ9~swr%x59=ZT)fYHaYHb*aTo>-4iLVk+>$7nVA{vJ_>e_f>5ft z*{!v5K+d1PB$bDU=RrmW1^d+06i=bxzQPrvl%<-#>FVkxp3wK9(LRr+Iu1W6DJhH) zKIPkI6df-Q#e#-myJv?+bAaYbJveFu& zSSK7EnORv4c0|D%2=MW_czW{sO-xPEDq&xNk#hfp{{5HiicKqnlvEk-|0;8cBa2hn z)xtXKKHzo~{qV0-)b#S#+_-*y>RUB4KY#kQYcw7;pM1ejekvj<`P!u5WvO6EX6DW) zb%56@vrmlcHH9$BzB1sh@tT0>P+{3i22M@_S&ab~FDz_va&~56W##evIWtp}rC4v$ zqWwv8nVxC(aDKd|rY2^pueUdjncv`nu*$)Nmx3k85^0no)w|KFm@A150>GEs4><*T zD#nen>s;0gOG~!`wJ9wn%7@0cgee=EnpB=(WMl;{O>8lA^Ugqkk4ca%DJyPwq!Od3IF)yz@o zJGpAU()+eZgNZx$nB59GMkd$MJfY;KrFfpzgU0~hs>^n3u&)mVHR`jZL9`=6v{yxT zQ-o2Mw&m}S6JQ{e$;9R4OcU$7dU}YCTqJl9@c~AA`}S>+Nbf%bYuFA2k32oAFN|?H zIVYj8!eR-Fi@M3w z+p$~`jJu04)EE6>02ASAoSmJ~`-3fj!;ULK$ZnG76jPh@!^0^fq-89XsG>V>7bCXsOVVn;sV4E?P2i0e?PJcv8|nt59rqt z3jsIQ^@IvP-w-J9#ctH7Llh&Ja6l_+Yw^wJ?Cg5#>caGPO#b+RR#@Ou>7%tT{TQ9; zZLj79yjof~;$L2V0hP;OGknD-;kAEI%*n3o`GcD+oWHo@UH& IWcl0w0d@Q7qyPW_ literal 0 HcmV?d00001 diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index d8fae202..6ace894e 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -49,7 +49,7 @@ path_obs_eraI <- list(name = 'erainterim', Our case of study will be predicting the North Atlantic Oscillation index ([**NAO**](https://en.wikipedia.org/wiki/North_Atlantic_oscillation)), usually defined as the difference in the sea level pressure anomaly between the permanent High pressure system over the Azores Island and the Low pressure system over Iceland. Changes in the NAO index have a direct impact on European season weather since it controls the intensity and pathways of the storms in the continent; Positive NAO values are related with stronger storms and thus wet winters in Central and Northern Europe and its Atlantic facade. Negative NAO values correspond to reduced storm activity and rainfall in Northern Europe but increased in the South and Mediterranean Sea. Especially during the months of November to April, the NAO is responsible for much of the variability of weather in the North Atlantic region, affecting wind speed and wind direction changes, changes in temperature and moisture distribution and the intensity, number and track of storms. -For this vignette we will use the whole North Atlantic as geographical domain and we will select all forecasts starting in November for the 1980 - 2010 time period. The EUROSIP system provides 7-months long window forecast inluding 51 different members. +For this vignette we will use the whole North Atlantic as geographical domain and we will select all forecasts starting in November for the 1981 - 1991 time period. The EUROSIP system provides 7-months long window forecast inluding 51 different members. ```r #North Atlantic domain definition @@ -57,7 +57,7 @@ lonNA <- c(-90, 40) latNA <- c(20, 80) #Selected time periods: -startDates <- paste(1980:1990, '1101', sep = '') +startDates <- paste(1981:1991, '1101', sep = '') Loading sea level pressure maps for the whole North Atlantic and for the specific period data <- Load(var = 'psl', @@ -90,20 +90,20 @@ ano <- Ano_CrossValid(exp, obs) nao <- NAO(ano$ano_exp, ano$ano_obs, data$lon, data$lat) #For clarification, we normalize the NAO index for each member dividing by the corresponding standard deviation -nao_exp_sd <- apply(nao$NAO_exp, MARGIN = 1, sd) +nao_exp_sd <- apply(nao$NAO_exp, MARGIN = 1, sd, na.rm = T) nao_obs_sd <- sd(nao$NAO_obs) nao_exp_n <- nao$NAO_exp / nao_exp_sd nao_obs_n <- nao$NAO_obs / nao_obs_sd # Finally plot the NAO index using Box plots for all decembers. -PlotBoxWhisker(nao_exp_n, nao_obs_n, toptitle = "NAO index, DJF", ytitle = "NAO index (PC1) psl", - monini = 12, yearini = 1980, freq = 1, expname = "EUROSIP", obsname = "EraInterim", - fileout = "NAO_BoxWhisker_Original.png") - +PlotBoxWhisker(nao_exp_n, nao_obs_n, toptitle = "NAO index, DJF", + monini = 12, yearini = 1981, freq = 1, + drawleg = F, fileout = NULL) +legend(x = 3.8, y = 2.6, c('EUROSIP', 'EraInterim'), col = c(2, 4), pch = 15) ``` - + The figure above does not represent a good agreement between observations (blue line) and forecast (whisker boxes) due to the large dispersion through the 51 model members. The NAO signal is too noisy within the model ensemble thus almost disappearing (close to 0). @@ -112,9 +112,12 @@ The figure above does not represent a good agreement between observations (blue Let's quantify how good or bad it is this prediction looking also for a better understanding of what is happening. To do so, we will use the Root Mean Square Error (RMSE), that it is just the squared and then rooted difference between the predicted and the true value. -s2dverification includes the `RMS()` function to directly calculate the RMSE, however, in order to get a better understanding of the output values we will use the `RMSSS()` function (Root Mean Square Error Skill Score). The RMSSS equals the RMSE but it is normalized by a reference RMSE, usually asociated with the intrinsic variability of the system (for example the standard deviation of the climatology). In s2dverification the score is computed such the best RMSSS score would be 1 (RMSE equals 0), while if RMSSS equals 0, the RMSE equals the variability reference of the system (i.e. the standard deviation). RMSSS can also be negative, meaning RMSE is greater than the variability reference. +s2dverification includes the `RMS()` function to directly calculate the RMSE, however, in order to get a better understanding of the output values we will use the `RMSSS()` function (Root Mean Square Error Skill Score). The RMSSS equals the RMSE but it is normalized by a reference RMSE, usually asociated with the intrinsic variability of the system (for example the standard deviation of the climatology). In s2dverification the score is computed such that the best RMSSS score would be 1 (RMSE equals 0), while if RMSSS equals 0, the RMSE equals the variability reference of the system (i.e. the standard deviation). RMSSS can also be negative, meaning RMSE is greater than the variability reference. ```r +#Defining NAO events +Lmember <- length(exp[1, , 1, 1, 1, 1]) + #Calculating a RMSSS for the ensemble of members average from the mean NAO timeseries of all members rmsss_m = RMSSS(var_exp = array(apply(nao_exp_n, MARGIN = 2, FUN = mean), dim = c(1,11)), var_obs = nao_obs_n, pval = F) @@ -128,29 +131,29 @@ layout(matrix(c(1, 2), 1 , 2, byrow = TRUE)) #Plotting RMSSS for all members plot(rmsss, type = 'h', lwd = 5, col = 'grey', xlab = 'Members', mgp = c(3,1,0), main = sprintf('RMSSS for each member (RMSSS average %1.3f )', rmsss_m), - ylim = c(-1,1)) + ylim = c(-1,1), cex.lab=2, cex.axis=2, cex.main = 1.9) grid(col ='grey') lines(rep(0, Lmember), lwd = 1, col = 'black') #Plotting boxplot for good members -igood = which(rmsss > 0.2) +igood = which(rmsss > 0.1) rmsss_m_goods = RMSSS(var_exp = array(apply(nao_exp_n[igood,], MARGIN = 2, FUN = mean), dim = c(1,11)), var_obs = nao_obs_n, pval = F) PlotBoxWhisker(nao_exp_n[igood,], nao_obs_n, - toptitle = sprintf("NAO index, good members only (RMSSS=%1.2f)", rmsss_m_goods), - ytitle = "NAO index (PC1) psl", - monini = 12, yearini = 1980, freq = 1, - expname = "EUROSIP", obsname = "EraInterim", - fileout = NULL) + toptitle = sprintf('NAO index, selected-members (RMSSS=%1.2f)', rmsss_m_goods), + monini = 12, yearini = 1981, freq = 1, + drawleg = F, fileout = NULL) +legend(x = 4.95, y = 2.4, c('EUROSIP', 'EraInterim'), + col = c(2, 4), pch = 15, cex = 0.9, lty = 0) ``` - + The above figure shows very different RMSSS for different members (left plot). Most of them have RMSSS close to 0, thus the prediction error is close to the system variability. The general RMSSS for the whole ensemble is 0.015, what means a not very useful ensemble prediction. -However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 45 and 47 are used. Now most marked NAO events are correctly predicted giving a RMSSS of 0.66 for this 2-member ensemble. +However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 8, 23, 40 and 45 are used. Now most marked NAO events are correctly predicted giving a RMSSS of 0.66 for this selected-members ensemble. ### 5-Quantifying the skillfulness of the prediction. The Brier Score @@ -159,13 +162,12 @@ Another option to quantify the goodness of this prediction is using the `BrierSc Moreover, the BS can be descomposed in 3 terms: reliability, resolution (negative contribution) and uncertainty. Reliability refers to how close the predicted probabilities are to the true probabilities (i.e. the lower the reliability, the lower the difference between prediction and observation and the better the score). Resolution relates with the difference between the predicted observation and the climatology (i.e. the higher the resolution, the greater the ability of the forecast to predict events different from the climatology). Uncertainty represents the inherent uncertainty of ocurring the event (i.e. the higher the uncertainty, the more difficult to correctly predict the event). -In the case of the NAO index, we can define a NAO event always that the index is greater than 0. Therefore, we can convert the NAO index prediction of all ensemble members in to a NAO prediction probability computing the proportion of members with a positive NAO prediction. For comparison we do the same for the good scored 2-member ensemble of previous section. +In the case of the NAO index, we can define a NAO event always that the index is greater than 0. Therefore, we can convert the NAO index prediction of all ensemble members in to a NAO prediction probability computing the proportion of members with a positive NAO prediction. For comparison we do the same for the good scored selected-members ensemble of previous section. ```r -#Defining NAO events -Lmember <- length(exp[1, , 1, 1, 1, 1]) +#Defining number of sdates Lsdates <- length(startDates) #For observations @@ -184,17 +186,17 @@ BSrel <- BS$rel BSres <- BS$res BSunc <- BS$unc -#For good members nly -nao_event_exp_good <- array(0, dim = c(length(igood), Lsdates)) -nao_event_exp_good[which(nao_exp_n[igood,] > 0)] = 1 -nao_event_exp_good_prob <- apply(nao_event_exp_good, MARGIN = 2, mean) +#For selected members only +nao_event_exp_sel <- array(0, dim = c(length(isel), Lsdates)) +nao_event_exp_sel[which(nao_exp_n[isel, ] > 0)] = 1 +nao_event_exp_sel_prob <- apply(nao_event_exp_sel, MARGIN = 2, mean) -BS_good <- BrierScore(nao_event_obs, nao_event_exp_good_prob) +BS_sel <- BrierScore(nao_event_obs, nao_event_exp_sel_prob) -BSscore_good <- BS_good$bs -BSrel_good <- BS_good$rel -BSres_good <- BS_good$res -BSunc_good <- BS_good$unc +BSscore_sel <- BS_sel$bs +BSrel_sel <- BS_sel$rel +BSres_sel <- BS_sel$res +BSunc_sel <- BS_sel$unc #Plotting NAO events and prediction probabilities @@ -209,36 +211,46 @@ lines(BS$pred - 0.5, type = 'h', lwd = 4, col = 'blue', yaxt = 'n') lines(BS$pred - 0.5, type = 'p', lwd = 3, col = 'blue', yaxt = 'n') axis(2, at = seq(-0.5, 0.5, 0.25), labels = seq(0, 1, 0.25), mgp = c(3,1,0)) lines(rep(0, Lmember), lwd=2, col = 'black') -title('Predictions for all ensemble members') +title('Predictions for all members ensemble') -#For good ensemble members only -plot(BS_good$obs - 0.5, type = 'p', lwd = 5, col = 'red', +#For selected-member ensemble only +plot(BS_sel$obs - 0.5, type = 'p', lwd = 5, col = 'red', xlab = 'NAO events', yaxt = 'n', ylab = 'NAO probabilities', mgp = c(3,1,0)) grid(col = 'grey') -lines(BS_good$obs - 0.5, type = 'h', lwd = 5, col = 'red', yaxt = 'n') -lines(BS_good$pred - 0.5, type = 'h', lwd = 4, col = 'blue', yaxt = 'n') -lines(BS_good$pred - 0.5, type = 'p', lwd = 3, col = 'blue', yaxt = 'n') +lines(BS_sel$obs - 0.5, type = 'h', lwd = 5, col = 'red', yaxt = 'n') +lines(BS_sel$pred - 0.5, type = 'h', lwd = 4, col = 'blue', yaxt = 'n') +lines(BS_sel$pred - 0.5, type = 'p', lwd = 3, col = 'blue', yaxt = 'n') axis(2, at = seq(-0.5, 0.5, 0.25), labels = seq(0, 1, 0.25), mgp = c(3, 1, 0)) lines(rep(0, Lmember), lwd = 2, col = 'black') -title('Predictions for good ensemble members') +title('Predictions for selected-members ensemble') ``` -Following the analysis of the RMSSS, we compute the BS for the whole ensemble and for the ensemble with the best members. +Following the analysis of the RMSSS, we compute the BS for the whole ensemble and for the ensemble with the selected members. For the whole ensemble, the results are: -Total BS = 0.239, -Reliability = 0.021, -Resolution = 0.012, +Total BS = 0.213, +Reliability = 0.138, +Resolution = 0.172, Uncertainty = 0.248. -For the ensemble of best members, the results are: -Total BS = 0.091, -Reliability = 0.0, -Resolution = 0.157, +For the ensemble with the selected members, the results are: +Total BS = 0.136, +Reliability = 0.015, +Resolution = 0.126, Uncertainty = 0.248. -As expected, the ensemble of best members presents a clearly better Brier Score (lower value). While the uncertainty is obviously the same for the two cases, since the observations to compare with are the same, the reliability and resolution scores are better for the second case. Specially the resolution scores much better in the 2-member ensemble due to the agreement of all the members in correctly detecting positive and negative NAO events. +As expected, the slected-members ensemble presents a clearly better Brier Score (lower value). While the uncertainty is obviously the same for the two cases, since the observations to compare with are the same, the reliability and resolution scores are better for the second case. Specially the resolution scores much better in the selected-member ensemble due to the agreement of all the members in correctly detecting positive and negative NAO events. + + +### 6-Appendix: Forecast scores ranges + +SCORE RMSSS | BS (total) | Reliability | Resolution | Uncertainty + +Best 0 0 0 1 related with obs. +---- +Worst -Inf 1 1 0 related with obs. + -- GitLab From 61c401a2580af4587faabff3d1fcec6d4497a3a1 Mon Sep 17 00:00:00 2001 From: jpena Date: Thu, 14 Mar 2019 16:18:57 +0100 Subject: [PATCH 07/48] Adding formatted table --- vignettes/ScoringForecast.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index 6ace894e..d7c7eac2 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -253,4 +253,8 @@ Best 0 0 0 1 rela ---- Worst -Inf 1 1 0 related with obs. - +| ds | dsaas | sa | df | sd | +|----|-------|-----|----|-----| +| ad | dad | add | ad | daa | +| | | | | | +| | | | | | -- GitLab From e1759aea945db21cb02d8fdfa3f638004bb2149c Mon Sep 17 00:00:00 2001 From: jpena Date: Thu, 14 Mar 2019 16:23:24 +0100 Subject: [PATCH 08/48] Adding formatted table 2 --- vignettes/ScoringForecast.md | 15 ++++----------- 1 file changed, 4 insertions(+), 11 deletions(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index d7c7eac2..72482a1c 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -247,14 +247,7 @@ As expected, the slected-members ensemble presents a clearly better Brier Score ### 6-Appendix: Forecast scores ranges -SCORE RMSSS | BS (total) | Reliability | Resolution | Uncertainty - -Best 0 0 0 1 related with obs. ----- -Worst -Inf 1 1 0 related with obs. - -| ds | dsaas | sa | df | sd | -|----|-------|-----|----|-----| -| ad | dad | add | ad | daa | -| | | | | | -| | | | | | +| SCORE | RMSSS | BS (total) | Reliability | Resolution | Uncertainty | +|:-----:|:-----:|:----------:|:-----------:|:----------:|:--------------:| +| Best | 0 | 0 | 0 | 1 | Obs. dependant | +| Worst | -Inf | 1 | 1 | 0 | Obs. dependant | -- GitLab From d343e588fbba85f2b7c3e49d17f3e93941e088d9 Mon Sep 17 00:00:00 2001 From: jpena Date: Thu, 14 Mar 2019 16:56:54 +0100 Subject: [PATCH 09/48] More edits 1 --- vignettes/RMSSSforNAOpredictions.png | Bin 0 -> 85982 bytes vignettes/ScoringForecast.md | 12 ++++++------ 2 files changed, 6 insertions(+), 6 deletions(-) create mode 100644 vignettes/RMSSSforNAOpredictions.png diff --git a/vignettes/RMSSSforNAOpredictions.png b/vignettes/RMSSSforNAOpredictions.png new file mode 100644 index 0000000000000000000000000000000000000000..6e394b353f118262080045fb28c7423945405514 GIT binary patch literal 85982 zcmd?RgF$t}h7F1|(nv`v-6aj17HLr$0qJfj0g)0x1p(<6q(l*r zI&=HH&-cB*bN&8;bM|$i#AdP9z2-gVm}88&qBPVL@UU-SV_;z5Dc+UW#K5@1g@JL= z4sj8_bCSUI4gS08eAmDY0|UPs{c)k!smKxogAPMcURK*XV{^vKh@|)U)~@K|orsX= zpy+5pLeh_sm+j0uXO#sbZ^Ta6ZMOC3=RJ7eYht0u^_J-41f{3OO9C7^)%Q{x{ok*GzR@B6>%H<=vTXnRLpm`8^1}aq`B9btefj@+MdF8O{QEfuhKxG_3cV8l zdA6;L=)}bOyBON+xZNkmI~^1h6t2zF zJw3NMQa098@;*NCjJdS0(^Bbia`=Nt2M&-X;w0s|+}9gN>o)$zc($`M*o=HT@!q|A z(_y_&DCBsO($iZWbcS5PyK(E*EkXNR!UaH>$DhFV(9|-im1$ z;9yMZZ?KAQyLq#-w|lboVZCu?$+vg0l*;e1=hy>0b|*?oN*^*ri3tf8c6N4_m*E7KH#awTcBCDr zn`$2pKTA$dwzzin!i5V>Qf6jmUAmekaKz<DEuYMire5lg|w zC$fTb=yS3j&XW9Ek?_ru|3!8-?ZI9BTI<-5^n3VPTAyK6o=}Sm)6)mH?0v1bbBo!W zZq_nWh2I!5o){dAxz8mn9k~9fz~lQD4-XGK1me-hm$!$~gkqmOp`xN{ZEX$5r+)2w zupJU|(dxK#W-*P8jcuadPOnfcb9!b*RYir0n)>wgv`{r2R*Ba;v$(jJQ?J5)tV9P6 z0zbYXWczD>+;nHMwy>;B<)N~%;rY@HDX$#ExA7uV9eVUuQP@+>> zB*bR42X|rG!T;xw$TTw}1HWSm>I9h2<&T(A>8UgF~Il48z2afwO zdbF08;sqXlc+?`M^Kt+Cc>g7K5fQy9Ax&AH)QIr#ntI~~dx|W4GAg{m5RR3V!Bn@k z4-Q}JinTd}goQob+`f+%f37fY!N$SiG}D1UaJJpDb3??@-p0np+-qyrQTYssl}d{vC6ebLdFTrg@uKU)RL?;K^tV&C_X;Efq?;b>gHUBbn|iy8LzkQ zpnr5jZ7nAckFEi2vr)je5qc33kt|O2w#WPU)M8AjgM%%#uvFcg>mTzJd}44Qnw53W zdT9g8GPcgvMoaas1uEy=iT$K2@#fGt-hc~j5OkF{t_vFM+ z!he5bOhWHA&!tPDMMZ43EA_Txi#(#P%Xh>V5$ z9j4y3J+f_e4!?5r6(@oVibJMOVf6k6~CJo?J zllm<$dQydGlo&TT2OEWUS-s55Yo4+lEh6+%JW*jw9h5^NN6X|iG&D?1XiRDw2KM@f zhJ*wK^P}}5lv^^2ZZ%Zg*-#E&(BwXFiYt<5Mcyq zd}bkC%!8yTYy@Kd>|@~hsn^*62`MQajl}bV$3M^UsKx4vii(WHab$~1a6>elf$@$Kzr-4WONQ`m5kLiQ8!hDo13X}Y<&ZFgxC*!IQK zZ;Y=&_9{dQeC6iRfBg7$QWEj`>X&juy$TN+G55QZr$nVLOYfHRqN_9^d~fpen?H1z zZ8dn)u6IC}ytCHY);2RUv%kOJZv~(B3$dMaJIi(ajh?r|s8I`HWZ%R@lh4o9nHH~W z*x0Vl&N-_ep5MGwX=G^S^R}lap3%8@a6%nUd#EJO2AOczZYYrQ^va+&3y9B?N zP&*&O_z4qByXN_G^0SsCxcej|B$3q|%|wt2%?~{P(iY>YV;aX()YK@f~nv9n_vkcc5d#iiE764n{w+TxpFo( z#ee?K#UyEeuT-G9v7Z%0M}lNyVnP{3b)i3#l*}yYZ}UAM;ZeMj3yF(_hcQJdGb4j! zR)Ff3b51nL_+`=)S6A1K**4z?59lVVx+f+MvjflWxrJ4lcCeW4QIL~gzI^%D`savN z4hGaK)$~_B?9)QCU%!e83DvhAo0NxY{Q2_-JJn}@LnrhKULSAflM{9cmFC>J&xPuo zMnuxYJo;5Z8M7^3PJ26g_wT=Unv=4#vuh11E@pRBE-tT;_>d_c5p$P`$Rlk)&k!A{ z9i*tQbvDF?>aeR0cIJ})UDQ_)3}j?vCnB!y?zq>knN~fJJ=mVRHAez$dJ-zC z_p#SXXi;h6UOZlz2zmhlfh^sm>17N&N@1fG&#hQW5h7w@C)kpXGq0gUX$`*5k~BQc zjD7mlvryFfFN4%yi+8>`>3DG8v+S#m33iiN=obvA?#sS4-e+=yk(<< zsk|;I$3MT;S7!VXNcQk-4ukPZ)85*?b;#De*~KF}*Q8J0s8wne;#0W48AdJ78FHj> z*khv;VSKu{@9#3t!9BWAje&N3NTM5~#S7gLaDcf_pAv_zeQkDIgTrvX$ApxD)Lnu^ z>e_tr?PFf~{d#^8kq-Cu#DV)aag#DKBrM+HN=r*aVq;{?6Z6>kwLNpZyU;B${!}@Y z2aoDj)$N$;PoF+zVPSz>YBydnlOgH`!B|*!*UW4I_IAgg4bF!TAHpv~E%o{~Vg^?P zHDWrfm`>ZkVDc%oct}Wy{omL9M#nbu9_;-*Z-4-q2uw`Ob4Z|#a{-2>y4-Mp`}MYX z6#PuE!p4WE#|K)kRBT3af}^4o;iSJdI(0l8rm->&`(tVxHXclgQo4Kha5de@cD!OJ zpbhe1Ol<7R(f!fN*6;{O85HgKzcwe6(s0PA5_oQLd8p~^Z7VP&IM02gzU3S=Ew=w! zG5?a{o7*g`tPi2Q&(6+TTU%=u3vzL7LJbBO_Up6y;pj2IiY81{#^R=E+3T4SZiMmR>3+O@GHLkCZr2tZ9v(eLTPQX4~ zdXu)d%^;rZ0?z|%6@@}I0N{;{k@Bu?ZK*zki_7lPoNnBPOI|q32gvh2Lp15WrddmQ z$)!ac+YmYuDkh^b$mK~WC8k73;Hhb){D?5PJ@H0+utB}AQ=n?9t2@22rXO71rr4UF zmw76va3vS=p`2r6dPua{^Tox*`S}N~)o>v?VT&R6M9$gS*_Vy>B5GjYY?Sfw^2XVZ zxSt%lxH_t-eIP+vTfbr{(7#1nQD5)j^Yb;5K&g5z;5b%-YkRgW=3&C;2t3Mg>1+v~ zL?gN5-&>RGaKrQtRmdqQqF4id^pIhf-qY2!wzBGxLblxl^th`#iVwhU#Sj+2SaXO6sA^DR$l5iwXn3Tb6?lo)^(g~ zS8bnSH83=Uy`J!Rg0a+n@of~Gy9yfc_xE*nu4-#*gUuEZ(K}kKHP;bXspglP zlk;Hk8F!|*m$m7|$*Cz3hp+B%d84T(fA;M*sNmi7WZ$M5c|}t@&h!583kZ<$7)=x? zlU=)ZjhHwIHhCc2UdB65n&4#B*@e8YwJ1;=JJ<%0U#6Sg0GHWLROP0mq%=1-cXXWR z$cDar`Ld|aotRZk+na|D6@HD@gg)itGTl8EPR{RkU2wH4u1CBbCq(4recP3djR##} zIBu@46DxDAKExCh{q0)ruCCZuuNrg&wAJVlu6$L!Y1@T|?6<5LN*8IgpZxUh-Mi`O zR>dS1=oa2N$Oz8igq!s}liyTVx3%5yn)6>at|D@bWMOjOA(2rN9~Hr$n`q@?6HiGn?`I>y>`<10sLyqIj!=&1HKF$vkedD7#e zJf1X;yi3|aF9y52L#OL&YHD(F=u%ShFXF|~NWT2@*ty)aBZ~`3b8TSz>&LaFv>!Pa zWd=Ab92~a3eJipzoN93Ryj)tkE2bgKmbIqnh!wr3Ytr3~+e@&uwWX}2RMh-WxNDth zk#-cxA|U&sj7Y~u&3mFrz5j`J6-~`Vh@md#*x1-hmoEJXEEW&i+YaHk#7S077ry7# z{~_P7!M=Dxr!C<0hWbq*p%tk{bbxpVpP%jodOwztk&z3Din?l|B16Cdi{B`kEoh_Z z6Qf7GJp3Xzm;Qy24FunEqV1L3J`6iZ^aBF}eK`%m!LoPmT+v|yeDr?K?BT=SxpZ+6 zk?{{7@Odi>3kz4j(`NBu?N2m2ObOR?V}7Z&PzW=QGi`f(+e64oR9rksQZC`8_!+ca z5cUy<&rV~wjGE#lLIaLg$XqYb($Y>7FRu=zFLNmPDCRlG&Ebv ze}G%RBGdc_R_^7pc(dnqb%J|^sKwRQJNQO90R&3=R)V5;y)`<_KYsiOK{D@H0KF&x z+Ggj4i%0kvKY#pK$dX@~fjC8C=0fz7oXM7#m%|+^**zxQ?R{Bsh1aC@O@cdB2%(=X zTkWHd3`V+U56$*NHMGaA_o#76QC-S6C@2zcPQqVqoq!H788f#}|B5F66~S&kS}DKh z>TkGf>kN&m0PiivJ|({yl6HLf!=gra?L($kb60;7>(a_pyFGz73G--;+g*Vj21@9(lR-JG}k0($<0R&Gx(uehgAb+7vs zJSr_i#$4xyO-)Z~VZL+xBW`ZoG*I;ew8qrXZf;K27C(!H9k$Gg*ieZ46T1+HuhFvp z{d)_fdASJuSZeWSt#ZtlBm>WmSewssa&iEf@R+vyjTYToF6lc6hB`Pr9LGg^hUK-BDoH9gcbBO5)ha=g*8&cvp*BSt1M+6|d6xp{B^X%>j90@0R-f`P~YRn>X*7)pKsh5IHB9k*}6kwlgS0=Vv#PBiq^8IekH~ ze+}EdQcq3_&^-=3sZZa_`&jt0owIK*{{H?O z>gX+1S$RGrGWSTILKUAVV6>8a*s$ArD9u1$pDkTEHk09jNKesKQk3SiPYC+_%F1Et zK&=VdnARKbv!%0DZb!)Rb*bUe9F8T+GjzuG+=bn|>?-;Kp~#Vv_>mbZF0_S9=Vzw} zbKccUy>UzHP}g*>qahp}WqG6RSc%b$UOmL~Yme`Xv93-J0AMPdy}+lHDsv56Rvm>R z0z8CXnf}7}?{j_w#fbzjmk3Yqn(W&lu5uXSCOI*5b9(cTfsR!}~h4P}LS#E!=SD zn9bV!j%o&+vam6P9*tm}Yd|%>cQa?KRIhd_vEOppA}A$=bk_93e_-$Zx<`arzI)4x zH3zO80jGjTEq1QYjoTiRrUHB>^}5hB|43gqcQ31CeSLk||JqUepSA43cb|cf`r)2{ z&vb$81=cm1`0uzlINe^saIHCFjfumQ7d>U^;anP)nmo5|)XTtucc+2Z(K{^ZqbH%2 z4p8CAPEA#~a_pVh@rVX>L-MhpNobd4U=TL)Ca!?rp|iva?3OO&5@M7Xpt@$<;|~Tr zsYyS=0CJX)kly>Vl4`20n=V03;KY`cZ%u&h=I&l**vLbg!UrUXiO@Z#O#-Bl-52{$ z`B7bWuluwIo*X7Tk-E#2*zSMKbH9#_fguDtGRe3ZFoB$~UYg9FS_cw0qv>Vh~FY9DVvnJ0E zAf)bUFP=ryqoBXr7_Y2^Gpeqx?rOeOTw66mlEVOQsmZ?dr?LkTfgQ-P--ffkFWe$|489YUKHSPL#%LO z)XR5aR#LS5S4B=qb$vP`D7yJzReCT<@8B+k1vcs67LoMxun8FMLZlq7uS%4wIChN*I8l#0$hPk&5PIEMIQM#I%$SdIlNdG^- z?lss9g=$z9Av4Jm#|T6aDbN$oS}wiA+_;?E=T-}mau^ZXdI&@oJ~>~I(NEZWkbnJB zg9vVjxfh9vmj)1Qz>2=*jW|DAqb=zd5VgFp->p|`Jv1?)@7XKB&)<}b#osRTd;Lx} ztGAM>D)SVzudi=XN0&CPsc@62)_q)3WOgMmiQS4>jNxaD&E+u`?h zwTa@+P~5pVYH{5Ker*CJYUpA{x$#I*=8@S!+cPaoJo%=d3J9~4b@HAUfU0w3@K$?(U(b&L>D}PPdu8v4p>yIU~ z2M?T=-r?aXn~hf(cMq~{lDx#doSW?G;$qfI^D=%=CF9mTp46qYwnL1roBIF^_y@AD z8UQZ)ukU>xXe6K`Pcs_eaBXe`K>T6Gf(~^^aEwTFk-t7F`zZBe}wH)_C z%sR^N|WFA(S!^Sb3FnXdNN(dC!An}-&q_6lCTO2m=y*^_r(!KAew#ZF2} zYQ}kkS%@4c$=}nSfh3+aTVti{`BH_2@%VVY-8;pHuDDF}#m{doJMDSVgO>bz`&{kj z+M`18M-rUGnk2k*Q(1ne`{ShT95wYfkVVkJLV`hO)B~ACo0?o7f(@Y3z42h9lU7~H z?8QUg%luIhwfp+Z z4p6KmsOV_G4Ww(V`hk zyEB3LB1Qt200~))WlhTOunOx!M+r%**1(xqm+swm4SB@9Ngt@h{c{PBM&=DpWZBIA zwsKK_NO7)SrC(wn#WRe+r|zp6b)altCv8YKA4Op!6`6=OZUbFJPoeMP;n7ojnKoLR zU<2AbZ3DByD{;^PF4eOSe$ua?OD-&2GYvfL8QSm0LoOU+!zS`PN=zi0b}<9W5!Z!%E1~u6 zOJIz^r9ie_Wl49y<_tsA!I(D$ALY~}l3&i%o;PXlZw4f68EO4`Q(qdmBkv2pjYZA{ z=-I`^kAaxDUu&%j;JwM_cb{5=P9aweD`I7JHT)rat5;!`O7bbf<=Bx;PKvu|d3{~+ z*-&5K1T><+0;AOf;S$#DYyAn2`!bqN`j&!i@jCf%kJ7Yd2%`T)F&dLrr&8WB(w&eXC0mF zG9E8R`O~G8t}astb$NbRE_L!ddE|9#lN4aHt z%K`$!w;rWoy=O1}SrK%+vDoqjQOtqN{Q{|kqeRhv zC^X%IB!IM<=H%O-ul74~m5AB&?{+vJUtcJMeFV)1ZfkN~OG8~J{4@cU#f zt0)<(E}3q08LQM8G<7<8!)|4h1Oc1MUXn{p$s|C!FwD zqq9%<^rR?VLWsRMBWa)a7CbyW8{} z^MQDs>OQ@^!?#!*6gO@-PE=hu_X7EJ^in<&ooutyg&mZv?CB%w+r4&7{QM-&cvIdS z!lvhFynS6kDZuga5{tC%Z)N(_LEx%)1N%L{kc%c0u|qQkwc#8TLG3+JkZl(i&08_{ zXNz>p?`u0TqT=)NfE1$yeJ%)6=smKCrluyV!DnG8)WqbZ$NDELkP${{mAf++iCU30 zsyPMjNYMLw!cBmwu9pJyR*VI}gSr*LZWI9cXL z=M~N*el&i&HwRc4S~Je1{zEb#De=zUd%CgAv6Tu4^1Z68qy^Y%@$N||*0px;9}J9) zOB2-=kkc7L{ehn=2tO=i=ozzo^yuyxRs2?z{_Wehm$_ex#j!3o&o3-g+m3N$M1G#0 zJ^`4{vZM+CG%dM{iRh}-Cp5Hi3(gL?XHhBu?aG@sZ-7XiKd|S2!NtR)woon|KK#0_ zt}d0=bn#&q^ucU6DpiV_yMg|GennU65cI%-5;EQa`F#F&tc!~abSTg|-DfY|qcEgU zR#wiae7bSFhoN^ze&xwUHu=@|l)FsR{@P8=a2-!61i~}M$_#3+bKk#=g=MI(@4odl z#qi7f_rPvvpQ@}bAMX(T9*g1zlGOeH#kx3b-y2(E;6vlwxxhZ?)=B7G!hrg7uoE}+ zK3mky8rI#CphP`e>af-uD={c7JuPj|)Uxl#QWf?zW|X}7!-o+&cKvSk2i5vGCM zv>d=r^;&uI`6EkTeGlj(G_*kC7xVpXzvmy|?cD@khGyNt?%CP1y_G@WG*-@TV`F1~ z$N~XybCO-_RUK$%Vq$63HN>)$%0eC@`3PI;oYwOhlmUunKc=`6BdGmQp)S zIZztKseBg$xg)gOmMs(uK7rBVw_ER1>f)Qp)YQ~%t*yIswN7*GWBDXHA}94wL1br` zv^Kc3X9R6Ny@ife!4GILrC4+2AN%`4A|em7i7QOnqL+qs#d)A+SqD)F^7JL~Qi3tg^Qogko?{xxJemL1er8Y6is(N$X z$eHBXO7lG8mJT5j_&7e$m8Yb$C4GgZrO$Ud&aEE`Iebl?&iEU8$_1K!3WMz_%r|l6 zjHL}oTX4{{FWGB!@fn}76-6mN4OWWS^D10`q34P z1ZXDd|Hu8_JwoI+sPiXrnvfgvUhRsIPd7Tvg<#@LV10xJE~ysm32m1BL|MUOF)=ay zJWL3Bj#8I`>Z+WoaYyk&_!ud-6z#I(uDj{VA&D@|nY=K|0D zf3B+j78qt{O}N`9+=kX&@r7_BXbd*5)#?s#%n}R5&vip!G*yxaJA6e+LkMeyKF6Nl z+KLtT=fnL8s3GO{-p`-?-_H`6mHRR-HdS8@^ILzsJ1@JjZ}0A2*Tbrv`jtcZjh^1s zqW5nRxu6#$ojZ(`kbb(e(*M1t#xb9x6H~#=pvRZtm$ub-l;IFKK`Kl;Xc{TD$17=@ z^Y4P*la{p53_6n5RtAu^cUNqzbvAk8XCy4l&HD^^P1~84b~p?Z5c*@VmM^7q%}*hL zA71$Y-YqMH3h^>;YSHPLdtzxRr|1X9fc1eMKHNz%b!reBi`cR8@XEM_2HHJ;>-Kz{?>p+{PkCX-)2#IRN`_cc(!-}p&6z7*?VJKRJYVFJRJ zrB}MTx^~xKr98H$MTLc*Nt^+6gK7ZQs_;TVr`e3QCZMPJENfDxr>D`@0;j9c`>Q== z{R+U&49`yS*|TTMcT4S`%AA;no3W^8Z65T)nGmvu$jm;3UiJaNNNf@LSC`d*h}1d- zYX{upTj#|5)mAzz^QEPip?!J~A!B|HiPd1Q)N!(gd5W!Vk5j#!dDW+E5sNIt)z}%8 zS;ECny%$Z&x%;q&mxgFdhDg_~rd&fwY2fh3l9ha3Gl=h;TsqY)GG7(|0e9^P18D0D z_68pq$|(_m`8ct2r0Sazz=1Sp{mcDHE>Qgl~Vn5xBJ?18Fc;J1~sUuXVH?&Ag9QwWk?4G_=p$>_nqYf@xBHu zQD3ubvyp+=0#ucx(^QwcYSjEM><@Prnn*ET94`$^pXb*Y;b<8dNn|;%43G*xCjt{9 z=zUpPXP?!j69#K#-Bdl5=sP(r=Ul6ybtuwf`ODl7?Wcp=vc}GefY5?996}H;Qi3hq!<0-R#=r*C@lr!2p{71ekjlQ3_CLNgkJ~bpP+H@ zGm>%X=Qvk`69!xwi|02eDQnRdyO0D)^2DU1;$_q2cvH~oH-2HV^lC{3oZL$3UI5i` zIrAYfw?gb;XtCoUZ{-*{I&4-!+1FXpww%iq35D%{k* zrLP0b;el)^07!azdLW8mZ!P>Tl5kl>fwy9wf;!HOyu{xZ%mp3bQ~gdo*T^UI{4 znXxK3*xBiO&*Tsu;FSR90ca?6rkMu!?Vo2yASI^JLgI zCl-2kQerfdob(_$yt(0?)%EemUCZ!WM51D|z$N|7ecBD8d(<_+h^Vl1*EV$;03#0M z&~!(jw5aG2H0kLgPAq}825={J10Rl2QOEgKB~((4tmQ3bin@ho=)ifvTWV^d=8u5? zsHAK8NDUw78<-dHtWx6RN19xg9%si(rvb0YI!-}KI#yvUeqxG)gR{MF24v%@^b0|o z#DN_ppeN(h!616rn3Vz$!P6(5-zqx%KdjoVO1x4~l@6=8I5`>94|9hjp1!=(oA=I^ zL>Juzq!gJ}gEi2VM=1Xd7%BRj2j1lq|K%;F;tRo8=pFwBJWg7fJ{?D^l&xx=5e(;J zGP}T^`Bg%q)ejrgNKo4L4&>VCLwi~Jo2Nhi0QsGpyXS&9Rd-EeW3Ncjz@6SDYbJ8R zMGXW$R**MwWe*x_eI zwtyBO1Nhn4zCj4up8}3nopk~rBXRPwN|Ss$KA2$RV_rm;g(5v<(L2`XFRv6c$6Y;9 zf%K!`dZM;BVwoKGoQ9H8*~I7&0wuOA99+NMw5Z3&zsmL1+g+68 z@YHW~!6shC6aUla&zxLbZwt=Oj-57)FOVIDzSTaWOAe}3+oU5=zZ3zy={?iCKAe^P zW(S+hW4YwjC@+_%ok|Vn(z4aXJnMljNY zZ8K2#37lxLHA_cdUw<|iX;^QoQ*q&A4+06k0~b^NmZqk|qa*g#A-drMwAwLMUsp#3 z8x3;*!}re#uV24&rHoS8K61DcGEQyx<0@e8E%_<-Td0VLka(7ACd2U4q7UN$4cS~X zKYaKw=l64{&gS!-IGPzK&HzMQw?SkTnq<%FcsfrSjzYx?2?_|{;N#QqJ-|pQD1b)v z&@A2TIc&}(H*nlglaWQldH%zdDLxsAtC}gxpd%R^8XB6KN`GC*FDwidXyl}Cq2mT0 zQXP*5bOmoyKR-Vbo;+)U=m8=E8XC0^I^-yG@^IgToiF9-UA(B1o7@o5$Hivg?}Ly5 z9FbdN#fSpr3VMwZX>@9G^0e+0P*HuA2`X2ION?8D_su_nF_4=(maE5&@Ri9j9m@7g zS-+~m;BVfKRV3fR7V{Rz{%f7$LUld?+P^T>^17+X(#mSVV3{`5@8v63v-m((t6>yw zx5VRLk@nw8G!>0mWE6Byk4uhSY3vtqCInj^EQ5@XdnczXK z;l6KRfVN*5NeKuf*?xHoUDV6%e$TD1x35bCp0(E8%-!7DDmGPE?H~Y4i5{ybfi3I- z?eDB#z-j{!x|lb=HD!F4ubVLqR>+0(5*gLdpzBpB9g1*K=XngBX!|f(q9qw3qo1&) zwh2TX9FY_&(SfYf=i6L_v= z;DZ;c0pi(VL)K$TT)q^vY6Gp_JAdtWYji0r_8`$nr03DZPh7sE4^&K};|vLnfD!b9 zKoD_`e~2c8yR^FgxlqEuxR{lA!;dxla&m%F0ld#V6$ta(JE+L0D6@xnHv}Uy+Fh3J zxXN7&(SX)VN1zl8!UU5=<*nicduTxbY=gR@vq{kOjmg|GTSFWC?EcYb%~1iUEo zxrYMdCnrCLM^hO$;|ll@%!i}%!QIJ3QB16?5iLP!vTPd|uWmH6;UE`UXC?rmkOa_= zQf7k1#N!i9^{@SX$Ze(`(KyetvMOp)?!ZifPV^c>Ms~J(EYaW?g!+a)k#6+uc9wjk z{RthSfINjP$nUq7aOUgr4iE~ndVZ?(@jWr(fiJ#7RRE4wEAI{-F)=Y%MPQfk@>bHz zg>TNZh)7GD8c5dbJX5wJh@M%5y#vk0{Yn!_Nak{Ka;&U{kb9jbs)B8U20rnLy?GsY zeg-58rI0PC{bpd}Sy(`8{$R#rpEd{e_vGm3>B$Kf7Z>y&V6BF~uA{5Vk~#>cwCjHq zLA@*rL2m+B^HkG-^>5!EJ$m$Qaq$xz0&cz4!-sB-n&7rrIo;rB#Ru8tDl;gD(_j*V z`2?tg;o;%1^AR{WV6x;oAAf1RA|&y?@7XXUi^A0|H205=xu1J`efg{>s@&v+_)MKb zaqx9?l(V{rUORBz)S6-tQ8=ae*15694XLxugf;Ql;nwoCm>WwS8Un))GVtRXeQX0L5 za@7dH*arke&hP@=DCF?|^%GMM@ILzNI9gc930Z-B3~DoWM0GFNLu)~tE-8o;lSgZ| zZXg7OFp#KIe~Q<=I#n4R8v)5p|J7= zGdi$A(;nEII@;Q(sqf9NUzbd}hUsjf2az;_VJf7hMcnrk4+rP7r-w|v9R60L)!=mp zJq3{kuS>bPxnC=k#|o?oIA9yyxSWRPyu7lKAo2xZwvLau@|_0>FUK)(yCG<(#69g{ zSVl@p3MdQvx1W1^*QT60BwZFSH}+Pfy~Tm0M$h7agawALuV23cplxYsfpH2cQPE~F z!w@f^#o1^6;Ee#)2YkcaDM|nz!DsCFgcw|BE0!Gg3Nx+zB{{{g+AD=hCq3}>E44Kye zEgWqg+1MybdVqQGvA6g9%~fdli|)|{twQhPyfZF+b{I-ULKyQ zl?I#7EDm~D-;zg1M{Tm7PzYE9e+?nLS+=~qEam@a9+9lgfrpR(#YENPI?cncb8~11 z!PjzJ44tj28_tD=i*iaBrtyhwz8T_$ffMSDES)L7H2A@GC?pt1}3Lk zFaXS|#O7RKMu7at7zn0R9tqlwe68%QU%&;&_BpV~61?&)b zZJfdABfx_0q0q+;NR+ErL;>+Ai`PMSkQLmTWa2mOZbUz$$HNT@2d4flJ{1hO1wzw)!7KNFh9QeqVQ>oO z-oV$CQALZPfe9AZpr9ZCuyiP(b+PCzH12)+^a;uWNU+RA{V@3eW+3_p%>Q!)^bq08 z(2W0Y&RSADYPpz#GJ6gQ4(6jEA@^JIgNy<31BFG2iO4|@WV8RgWDeH72{r&P0mFR^ zUOl*Xe-^s2Y%9XT!XUk%zx#XZ`_fWg%8mb>MAgQE;n+H3tb48AKg_|E2R(mF+Tg*r zk4pfI-QC=X>vjJIIV^yk=*!%$|d0_Wr#}Lnw{O z9gdVNQMXsnvwSV$|DWFv;`!W3r>(2|EHzb6NeLU-H#6f8SQQ9!AT+g}pRr3xok9Bs z_x?#tj2vRD-0%Rd28NJsd|7}d5N7qpoSD%_(}>8;H3O~_h6o!tFA8FMp>MuS!N&pW zWc*ds*Vi7Ll)*P{InM)1KkOI*qrni&ZveduqkE<`mWr;fdqCcy$A-+PiHL|y+WkZ! z{IaZ|q7oqaU#N6DT(E+U0tl;R*X9P!m*`O#C1qs~-gsjVa!N`V_pxia{u;O4>>h~x za&p~3+$c@x%FD}pdJ138bq^Bzdp;ON1oxXmKXuZLI(3|e6F@8S8xRI$@GjGI1k4&U zO)eGyARYAN9~!s&HN!rIR_JR*q$39pPdf}jYG}lx-&s>z3mgUDMGiAVm_16VBGnMp zo|Q#UE9W2|t>7zRg=zrSK_b9gpfiLZQD#W^wJ`>X{WlC+5tiF#1A52yMTA5z!i|Qp zh^_nI`1SPk9(mDmfG0juCaSluuL!7uuN7fDwN+I`T7^#=?BM9yA91MC(8ykb!kS|}pAaYMmPNFN57)Ao*?Ln3OS`qRzNvQz+ zU#UUutA^5?K_((a5XI_@ag412%sM$$Zr#VgcoPV7r{f?*p>1LgdY3VB{K2MPU0WMU zr>z5Z1GGPPKo)z~En{wpi^piNWA5$k!Q5bTv(Jis#f^avAA|)2IQ2qrY4AY9z#u1=^*l9-_$0uE;1n_`v?>|9@uFqwzg^ad2_LlJ^I= z0O%;;T+u2XATe+%f=3HrIlQ9e69L$uk#B+vkbh8UA=fl)zJDPAsLVigAC;kD4r$gr zl&xeUhc~N;jx~9Lj`g3x`J8VL&|^N}k$^%9-A47t0?>;9BE)t?1_yV7>*e84nhrau zJOWPa+J8>+|9YZw2u0&EEzy6y08ELHLztPEU~}CP6WinEN>KudYH4W+u3_l+QYlqD zv6B6NeQ5vlIaE7%X}H%ilMK$xoPx?c3;i!3f-C@6fH^^#gGt$NGXV8v<>i1Eb|4hM z(U|gzO0&3*-@;@pzP7d&)&hOQ{<+ZP|JMb(5=0jOTe*gQ6>de3{O4V;B+37m<+1i^ zJx2lI0)N$E9GMD`|36uTOHz_rEGCLWNJwW&XT%D(JHMd72C_>T&|lDRKuEmaiQ#RJ z_j3h;T1Xk%3@6~afpIJ|ZfSsx4R(yw)Nz<`t2Aov;(Jm=dIc`LL;!)b!COWVQU2El z=|7)eOrc|EUk8Qo-8mera)1FSJSWHmP){0Q1Om2hoBwe`UEMEGyr4^rijD>+wgY(6 zX50Nat;=-)+)OpQJ%s&;o(_+VH8wWJ!n@%Py7Prn*fqdyn#jlm!D+$#LrV$ten}nL zFgp#ynxMDBVpCI5fgJ=!SojY=!UF(uL}zxM7QX80LY{Orz?Mp>y4`n`S@^#`IR5z@ zlj8!ZhZtzCfZ!k>CvykF?gGIYm>PN%81;ZN{=U9$*Cqww4W$E-3pJzOVG6Cp zKv!u#Zkh{K)O}|*(|!!C&SqpllW_*LMWuc<@|3aKPe{ zH$*Q0EH!u-yp{eL>eJR9h5iFFTi7-QI?}jvr9j;({uz~a8yNc?4zNGs2nf^y|BNE& z<^vsndKjh!aJzSTFJ%iI*+YA8Z*SzWk>{HY%K^ZqRL$RgM<89jaAQ=VS4x?Q2zula zE!vr50EhNgRyv|n09uhbf6U0yBmM|_3yUQ*eUDB^=H}+f+}SYNd*jByogA$PIk0BJoP)GajJjHT>dB{GKJ z0urlewFH(|5CkLPi~D1GrVw-XKUaqUu5Ff}%}YQ8I~GF-#Zd^nDk|!G|K1*&4oVS6 zc+7$#Ozk4s*x8Fg(E-kiw7wPt@fm{VsscPdL0p87k08+6AJle+gbYdF>-3|A>a;b< zVPUs5G)6#I+3kXrhQ9>BM&iSN33D8>)6%dipp>!Jv>qOZm=?k&$t# z&ZawH8|D#bqqDNI($lA4vrlAmW0Z&@kXJ<@77)x|DvZA`EOa)k@UXE(#>K4#eCX@* z{_~6doPXCKX&7!E*e7)grCuK#L6U_vE*0DV*ftE($o_*y5HfWw6d;H*lG z)OB^QA7{dyMyD|lF@a77f9f>I?zEDRmv?sJ2*6<93uoG|3DcJ&(jXD=O-X98tH(HXV1{} zu?CV6m=0|r9dZc^>#`(4ViYSaD*6Uq5H#)pfCijdz>59gQxvSRDT~GpeCt9{gDR#uag%VJMuVABi25aISTKygq2 zFVO#j=3@R#7Hs-(@`zl>J6Kp)TDRdg;KT4WY!%QFI=^+xq*kr9gobv*Ht^bseUG3)h0Twitsz80=?2->y8?hl0;9rTFK{@tBG{3a9Wbj+yfV|*r?GM+v zxwzo2aXvI0OM(IgrUi6)2Ly$>E3X57R|h@WR7IvlkfeY~OZ+Ner59X66;x87UIsxRk+2MD+!s=<;$0 z;NJ<5aL;upsC~h}jRe9<$>6aEOgNz6$rvWk35lWK*J^HdjNk6 zCeSyw2r$h1KYR!{5pAe-Xy(IBN=T@7UO=1QAa>E3gxPboOtE`0%`Gh=pxyBB;L{7j z??Pt)*nS^G1be{}o6oPn7=A(tI;?2m*$Eg-kVxc!p(2L+wadA6EWEtDKvqxHk61yv z-hHK}4Qpy;Wrf~k7PMD_?vjVoYsH3O!=nW@~R1B{+H8)oq;G<=K=uNMakl<1ZzyJ90CLJ9enAGkiCOgBP+YEma8!PVq zZ3L7$~5B7NBt5@&dzJ>8=#Eb=oI~J_LmHz_e{|(H4P(eC&P?NHs;H$AB z4!|yW*9U3WTsrdOZ9!Jnwa^=*Hs=*Em9I5cgp1tYno2$813Jxdt_@rP(h!@cPeL`C z))%3AfIX!nKcA_l58yVO!W_6&8dNDTbe=&k4?~KgVX>Um{fC4|uvrCULs)T{wx2*{ zV`gTCO#+z$u3{8>^5zf>=ECL!)0ydS6bx#ApKkt%=7QnzM8Nfj2|**+O&NlVf$@L< z_36fc;Yc*5{1;2U4Lx2&KL{pc_LVASLwy&NOqkA$DkLK%t)`vWyhn<5M>N>xl#~!S zGFEPKrxg@1AIn;uH$mdA?N5YUHwl#i(s}-?S1|8y47@O8XZZT9^5Q#H7y{pnfJ4Hh zGi(ePJ#B&SK!JzxPI1a}F?fa*R9o$B#0WKR-n{A9>iW9R=^u|8?jv|05g`(;7CY6; z-5sQRWnkR^LIE5B{H+xJ1ZKve>cbQ^+QTg_-U8XT>gp;VJc+{dks3x&8g89&@CGMr zD~1FaDkTZn%V2(mzE&L`OOu&N{WkY)Qd%0e3)>GclAWFUM#@DM0>FaWNDy(6ln0*X z0P|A+?zaM}Th8_hsLd0v^$P;~-V_BJv#Q~JleOEU(m)59XAh`d& zl)e`gAM)zvQW1_C6MA6x|D+vmbz(8tQl${eBA zKn4VJ9(1o^rREB~z=^@cYA0~upp3!35e8)#5+o>s3b$|1Krw<}gy&7c3)T!CGBXc^ z5R8095x~<22H>}T%%@{uc*rQTl?VUZ=Kk~l%aDKmmtg{5(u2y_R376*=PE)r)Ch!v z3nguX4?NHYT-%vw=>V1w*i`Wis&1H9elY3`50*$N?b=~+IhV!WzFEj8e;Xb}_5~U% z*zv0SnNBmW_aRJRKMbFdDMbIc^%!nNFCkkQq;v4}-bRpKzn&%Ke}Co61p-o$o1!#Y zU{3f6`v6ii2)qb9yi*u4TpiBtFzdczRf?|cH8tp|LjokAJ^%;bX4{UzZW(u z^Xx4ZsWQ4QFa|(T19ri?xbn_^P@RtETNbx)Um36Pw@teL$p-Q9@j!!9qclL%>3@4C zAI_=9VhtLBI6Nd&RoK43QEoukLZ8q?7|#!UlbQ5>oeUd|_%fug9Q1uS0n z|4{ZOU^%D%_xRJk@2gf7m7;~DeSH#%iYTO#P)*XN(oXv>iqN8xB5gwZLMlZRg_L#` z(ngEc-+7q%%*^*Q^Zow+uB+=BgJ*f)_x)PVIj?iCIKavYLJCNAbX`Te5}SZrgLz8X z3%8fqpnK7#^PX1ylSk1r2CBHr(S{thU^t+h`BG<(WRdotKPJEb_gd<1Mh8%BSZ(7{ zL*VQ0*0w`qgei{nf&$t29VndOWT6mx6s!OWE0NSUqnIZ@i@ru@hg2dp71iy#7ty1u zd{{+InSM`SsHYqCBcP?6GLRM!`f1UkIfbTps^BwrB4`dG?E}Zoi(TSV_$^2;eG)#% zwHjOe!<|*fc0}wI9?d(J)~Dcc0q3m{c{0-kz>RW)>UHI|LFD{A&qwczplCrx6 zSk*?==T=DI`|}ONFCoc5a9oWY^zlUu>h<0-WHr%gvVdHCB~W)a&{rK*;e*uX?08oKMtmI z^hrZ8`TW|}T`7l_Q9pcE$k?`d^WKxEaJmH*?2O^K1>-+NjH&Q50Gk}=bO9R3A8WXv zhjt%D2&)c`N`8L+7!h7^0RgMfox*S{6Iv+SccaJzcr$(4t;j}bl)TDQQ+r_ifiT?- zp))!-Z!k!ukNjbr2IYY4k@8?te>pQXWpdJrgjvW4GU}ji200J{S~4^gE5k3MfPW2~ z(5}K#;V-H4p%kzB+x5RgYo@9WQ<&6h*mQ|LZGefj2dhjyI-l5MAqsFWh_ZU>WLSY3Bf-q^8?cpfiFV5vGj$Qihw~ zlPjk`q5kuSNcHQ#OCjEY6%YdAC*V226MB=rgP8zjNh<;&VDla8M2Ny%aT0?sfKYGd zS3_lOWb_gX;t$y=uvA3bvG2fS@Z~(QLr@$5P=kvTeq}WS$w#qJ0_C2~Scn1i@yJ!5 zV0(jF3WWrgM%i^7uK~oP!vZy59t`)u>KryUF2s;g_a!zFQ#=hgU3#58YoZ4~3DCFI z3!ihrDWZys*Yy(#Ml2#(a%|31CD@>Ha)UqFRu>qxw6i^vMO%-p2t}u7$N?t8jccG% z9+!K3J=CQB;~CXImxuA#r-z|f%~co)3_(0N=BP~96Wl!x=SKvosE zVMD+dIypGFQbE@ph+si6lZraDJBfoTQKh6ay?`Wn~4m&+P0hU@Hrp zVMY8g7F{qqNqgr0SL zmqmgXjqg)LjSzCjDSErx_U)^2RjP4Oce+;zD_4(R(xY@YZfn2WZo$4K;P^EICv&I7 zTV*#lneFRx+wkl|dD+dkKGIkAZh4k}SSE4t+F^(B-%8KXGe;|(586nP+$*d0s?&Zui%^wOm3=}+cA{zEcw!MRJM>U;zOd>%S z*dON1+CLaFqxVenoo+&zjTL);;R5TyPPHA#v5_-N1L#k{qI}Lz+sqe(lZIb1k;C37 zGYhI_-~U!nbs*u=B2WYD(eoNU@ZjX~q)3U2d&z&gGQQw!q(OFte{n`r(31%ffaR0% zc5pbYw`m(I5Sj77X2zl&wdXVG|6a*XU+eZ#{VnE#=N$9t;AUm1mae0#TgGD~Ig{OZ zZ{O&exdFQRpI;zrFJ~5l*k{USj2GU{PUTbcBGJ(3X9!DEjl%eZ9u-GC3`Ip#i^2<_&|4fT0EYx5;!4CH^pUwN z@rHZ$_peSWuXuf;@`$(BQ-YU|4>}WU!C63?IAzs{6~MzG5sA(Y8mDcKm>Q`5nMl_LRs9GUx#6%pDe!h8;sEEi>#1zk}J|s~Tlzyn5 z0UYE+v9bs#P0kO-0jPQlRbq2X%U9$Ilv;RiMa)cGy!Z+!t??zxbdO9yLG^+IjE~T7 zzXP>^>YJn{R!<30Y}HXH8q-P z-z4`Sj9j@Mk?Eo1BA=k-Ai>F_yUC)|Sl#@-T^s7Kajzr249|faE_HD_#ouTuxl{^A|71yGjZch~xxR0Dvoh9Fctoi3PBHiqW?P zy)fbV=H~&HDU3yUkAcD7n(-q*p0Tc1x19V8wdkD34@N!(Ngx1g*WN(1B(%rY@K|~s zMG9a4!&73~UB!y-;|oLaOFrWq?J?ou;i4KASCi}hcEaGZcZ5J%B%r3gX^^*(3}FeV z^rM9}Ef*b$M4>xa*XCYjabp5$xLOFCsb;Rn2hb9fx1%2_=0H7Jwo+lm^Mtx*qPlR( zU^`=$W1Rl0T$R6Sh%ODQ*Wy{>E71Gp$Kv9Mx=c@vRQ$N}`UC|FP0>Skb~$6TDvcZN z*o_6VN2VBO6mb}2jpuI4(JBE(Ng@aVL;*719?jc7FSDZ;0NBNXTOS}{Uk{>iP>pzV zOYBJw(8ifSgb*iQs?S-Vmip3>JBN~_cV-h@DMKve;F*jgqM=be*~MmJ;!L|frsc$- zhg$mG1HWl$5h|MMO@zrGXQ>P%wVZg7{=|fH{e}$@Zjvt8;0_K_BgTlIEx^Er;+kJ- zERNw@KkWL7HMXquD!SZh`(w5XVwqBxw?;q*PeB^QHzFch^&UDKWKRxu_VzWeaR8Gm z_Fx}?kw@j{jI&1p2&kJz*jEmn=Zc{I5G8Z^&7%?tq~{Rx>p4jNiisV%Eb8t6CQ&qS zyXydq>Gl4ShX9W85Ls_nDImdXoO?sg1ZTcq!TGPN<-hMfteG@dmx^z=0ogyCcW5gCY5M-5y!RnuqSJ=h)lQS1SeWjV z><3OCym71xDyN%QmwQ)9EjczJi`rx@Iw|^^((-P)TG(=^p$GBoIZIO;u)5fbB#9=v z44DW-(cOF?gTcqW=AL#&UT(8yYJYE?l=*#)<|vY3937?ggdew^IV)JmYSH^gR1Es zY`i+P!*^7ZW^QGzNHva3<*kH*8>Q?9eAinb{SsFVNj;c{8Ct{64d0*J6oH_Bx+neQ zlA@uco(Vimk7u`TsrZnZoV-yr#23A)FPa)XCIxBHJ6dNfK%Mvn`I!9y(XpsQD{$^#s~E|F4DhE6iADeU`pE{{+HvND7F8h zp!Q2fY6{^P3C=Wu1T*ko0LIk-5RnGkl9J9>QzHRRR4%crzB*qe5L-`Je|q-dfaEOh9Mn??Lh)CIygA&6?A!iV#|o} zfMn#wgoG!`2}<}T7$$dv(^Gchro*!#JeC(y&WAru#4}|2GmIeE=^*IivtZfTOf)S1 z*FXLH^B6=G_SY40YP{5Nq8NJDCOpUkxm%$z@Ss;OHs9F2Q9Pm3@iI2#e-$sJ)f(DP zI?^a{Y+Tb3p$*0Np-&rITh7JL|7Bw0g)aKyNFInaFx4qCED}h7}`12CZB62l& z0ED;`Mdqak4JC^^H>#db-4J;(DM=D1tMltDCg3|akk01Q7^L|BWsl)?|K(51hzMLT zSwRzgEisz9An)b$m-T(T}+9aY3Qq(j(#P9=bMOMzXJ@W#>P$;nAbog#PY z-`qfo0p=S8bm%b2XTA9_m^k!SO9*L*fxDpnMT# z-69ELh|+LIvk{R_$N#&BMhJa4l$C>2DI7vVmL*O{^wieT>0eKongl&Hzf-Uyj_tojFFxy7G@Z4p;zbWB*^9E(U4Zd?V>RpdT|Z zh$N+Fe*WvJsWRB2xUj?dxkT)Hy7l3uRPf(SNI>MW<LIo_1vO_b zT#c}-s@3Zu5_Rwo|2c%j>%S}P4``Gy8VF(;(o26O1^1ZjH2-p!!BB*WLw*0cnsc7R zj4#q?2#xQ@uWl*we(;3od9=6_02I!Olqzk+W>DK`C6~WgtzHxi-ofy%No8n7z-LOu zgZMJFB-YA@iH`0b`v*M>i*CS~0Olm{QW^Q@?sYoe3u3kZ_b1$)c8s>8TK&We;>>4) z^NiHOoW4{36AL1-{NpB7txv~`J5k#qYncBm%t+D1d?O$eB$R)PGVxu_&5s|RDv9lS zpu2;XTZU-L>FQeOB6iE@q$Vd|TE`;RI5D4^>S{^;5ApwY?P{r?PwZ z++6d&grHUUD5Ex%78ehF*75{-NGX_IAIX|EGQ1mnjq#kO`uy7VD&UsqHCvaR+*U<=o{%;6W*Q19A+G_G({5#JOu5)&>~p(H$bs!<_DsD zYVj~*1aurq0p~K<(Xd8<2 z4#zX>|5&%hUsnPX55BXV=7RFOuSfOc@@W{UgO>A3gucF&h4krjY=Oh$$0}L3V#(xA zGAo{1klg6F4|;t7Gm;|eZ1L5j&a`LDA~U{!dHYiS9EtJA;0ZdFHNwIHXqCWf5_mQJ z(XxDmL&m97qQC0JzXOJxZ1!Rj5+{L?LT)898jKMX6hw2eR~E^s36b}tWyY1JCr+pk z+Q}`+omZA7zm4#usLT|g5z(sq8YC;?lY!Cgaq!?fPiF5Vl(8d1KaFO zHM1m}(NV&b(igo2nnGwTtI$L85q|~b|IxRLzG?s*1mMwfX-;{zFHg2FSX*n~4Qf{U zjfT5?$|ogALRkhro&Em_uutkE!W9l23N?n5-;4zbQxQs+%CybAjHup?IZ45{`RUUn zumo5th43dcVkEfae-uvfibz!iQ>t5BKQ_@bQnV^k5#;E;?A8)>ZhX0Z@1D#FbH`^P zJgphqG)B)ic~-qotF>JVAMUcHIZk$V*Qo(Lj52D!l@NWk*M5!8ZT=}C@6mMFLoeq` zU>6L6FIV?pnn!c`V9oEP+J7y>2HsK2p-U_oCiIWVlC0N6iZzfMb=xX}Rq z?DGTN%^e7IgWENB!H}t?+J+gp@Mg)MxUl;{Ntst{F+NlON!FfRv}$Ao<3OL58-zac z$>FbqZv%xgT+uy~XC0@7*^E8`;0#Ii_k|9P0Q9J2#+bZ4CEDo-!Lq`s@%<`)g&K19 z-&hy^uPu$I15=J>wi=_whWCfL$u)a4QmHr}R-6wHr%&$^X(!P}o)a2?MsO1dkmgZz zhEQ0$`uZ;6x{GnOgC+?uIB9Hbq_FFHs3d)MS1qZi;U;|qP{B8E-XsALf2;f(eFt(# z^~~s1QgK7Y)|T?VSHs*Y*^`M(hCt8>3<>mzdUQ(hFbF{mwQj8tV~bZR{~8QQHA#No zW7ghy4VtJT^y~;EE|nyx1xTACz$t>1X^tFZx~JIh{R2yY@G3nLYP>Bc{ba2xb6?Jh}3ih7+;0e+Qzewb(C)>GWVm%Po2+F3adgcR; z`CRnK8q%WB6LAXzTk46hZb%f=9zldBA(VS0|L8P#>^i6QS~U4`?4oBs8NqVLZxQPC z-CXx3)HKxNiU^FntGo{{*9j9g&UtI~Kz6LLFe;X9wk?<8CFuUucgNzCJ*fytAOM;6 zmAQUQt|n)T--Y4lBacen$CTIhJ2ON>QlA^BCUrtZd{}#ry zr}9I1cgScLtNvYD^|)&j)(yUut}i`rYt9PMsZBiDL`K-Db+Gmmd$4xxikhaMgy_W` zFLiS&=ouNGtIk2O)_^E|bKO6;ZLZrq<{fpVXG;C1=+jq5G%T*goRhVo3!G@J5mcn? z%g(4Q;%j|ZcKEXS!JTvKMawTarNxe{;KG|yMuQxZD`h=LWRyGcFUZ5w4`U6NZqrg5 zQxviEN56jiDK^Wm$XHz{y5N#=-TJBUa07~8=n42-(h2EsXnDSI_CSD?N>u%Td%ZYU z$iE)r)nc-*?Ll^TrTeq08?4VnpAi&!UBucK_c1&?GFUg~FcdSgy|-EfH<94MwqeVx zeShsbay9ZpC?V?TPcp(2MnkT?kJO#76dm3L#&{yx%L~Kl=0d!)1~5VXd@*+wNr+J{aP0JinYN zzcQY+=gp}aAB9&WYVtjL%zKfJb{>C z{Qzp~qUdNhz7h(hUYeUr>IqD~^niVQLGEoHHxh!|hCKx}qvYWOUD-U6Hzgx8?gFVP ztr3UTP2DUI^bhzd302j@>RZ&+mtPD5G=h+e$DcWFm#Z&e{^)2%(zhH$i+;UjSmW$> zPXXLHs2&s>=jP_ta-w)~sI7MjBpJr5?w6T?&J|p(xuCx|bje8Sz+FjIs#eXuOMFVZyc z5LfN`ovVJQ$qBfb?)d8F3nQ3LXkC$(JiS}O(&;X;1!(XMZw@!3#A&By>WCT1m^cINAS)Y};klz?@9#9Omkn;tm6Bn3 z6u8rz+PYtdsGn&j%VU`uzT>n~a5+$|u?UIO*6CQNG_2+9&NjXhM~}RAtroUEK({|h z3$z4{CTgx!iDag=9r`Y<4|q;TeysJ>3Lpg0WI}uKnxD-?+uTs*@2#QdTfZMeqT-h# z#MslN_TO0t^l1%aDCA%y*cJl=RCzq&qOXz$%e+n%wS`-dd3tS;lqAzKpkJ8P^LQAj z%F6bM+)Rgr3jhD^oD}z-%c2VK=>IBW%KL`L^_trXW#IjWn3{LRBT;uZj=c{t(yULC z&#y*HD}#C}Awv>e4`vh0d=j9O;TI6FK#>{2KLFU0IsM7b9XpH>3H|_Y{@yt?H8fsPN+7P-*s5i`!h+oF`Q(!6iOIjt>(z-cZ;|MlYAe@sKiYcsS1#ko-4q4eXs zlSC0e_=rYW z02exfVxU*)Z%)+r9RE&XoZnsV@%387)4q|Bxd#5z3a27>UoSk);Of>^A{#59ZI=^X zVd4)VDqK+`GdSIKFo*lddU9%N!zd-tsWJx6a08YP%;`|Te8cN6VVE%_84CgBCrNGv z*_a3XWuYdX`|X|RQ`FTV(*=Hy+QTg4mHvVq+1J@A_%D3Q4oRMz?Rr^->#T+got@mLZ9vvw6Zi!97;>RX~SwVvH(;lzT-gu!2E zd9sg7xr$VLa4PPkS0<^hChKWH_Ab5Y+D)paFc5?ZWP;bHtSiGWQVx5a+?}FwMq_ER z4&z7|>LT6WguQ|l5>j+bqE_zwCu$Q4RaB(#gzA2VI+5YfT95w6A>G{;G2bp!D__=r z;1F`YT5rF8mCRDrwqw*D<4>#t9-Yvg=n0P=>K!J&*vFX#7!^Q<*-jbUC_%bDM`AQOtrphEFZv`Q%uhzx$NBe0VlU*_ z$3X%M10R42tiy~?(b2qlbz%iun&D8KGni6j5Yi|7;3k_&d+wb1ecIjEMWq=Q=fosN z*7W`M)ye3lEch`9TA|RRO1Xf!*vpp>%pb}I*Z|HNj75EBok%-&1;HJ2DdxwusDt{k zfl(AzoXA!9$0zmi%NN{E^cL_E)JK@9S|%XJUqTbz^kV&M$P4HfFg}-wW#r#fccJ?D z$z#thA8tIvoK8?%kQ6tp4QC@DyKm9rEZqN^lBjYI?6!_Z1^Ruw0?vv(R1MekM6*8u zC4j*wVNbO3vqWi{wVO7z%v>G+M>1<#>hQxcxa`cIKXky5c<9F<%gvjFTEDq;k5hRQ z8t#&cj!1jPoD`FOe0=2H$-CTn5IoS*?5R}`;_V(IGXoAg^CL@r(*{T z@bmisju@ym@!Lft1_v5@KKd2B{?5()z+-Fc>VjL+VGq`fy-$jG3Uq1cJh$-`S(Ay1 zxy(of-qEyvu_)P*yEcM;Gm~u!jh+Ro)B)Wi2BUAG zDl3tlF7E;$0ozj}zlvJtv(C%me+UNt`FD$&dv;SEeqaKm(!d}`$vqY)+VScqa z0fN9|hTimm0AC3S`iK&W3)A&3x1z6?zd>(7W=fsB_`^f-0&N0C@(T5$=!N9uyKl;r ze3+!9@a>^OEVX__u4e)P#%4$dpws19aktIw!0%thp~rz(mpbSu^a$^VY=7UgzdHA1 zGzS>RfIcD<3kqy)diG6!Z|JKcj?a4_3P^6U9iU9x!Qa%R=`H;LSjl9ryC`01jD$a2=OnG>tk8vK+^*hb={lD~O4t;_g9H)8AHG3Fc8|`~(cT#cV%@;9@KBO2k9w zLsQv=b;MI;{%xY$cnCsXwfEdcWareZ1ogOJ9@F`0H6+c~_0#Qr;y3p2k^3BNb5i>h zwQ)p7@5RA#_uFH%ME58}Uc$2aZ+R>Y@&BRjZ$?~7Q(7H+G$DEFApfBu4x?2@-1~bH>7g7ENoZ$jCQ$)>5z!<;M`NAYQM~)ko06;iIuB0A0lnN2L(yl< z<69}PkIe9KxW~Iz`Yv02QBPLN@6^;}Oy?47-R^y3rOSRPl5ht?ZzLs%ItxIZdSJat zLn!!_m9-&~os-iv-=YkPnLuVWlfjRO?PR$Mj?@Yg9&+v+UKrTJ?a1 zyjlsmBeKT|XPgAPMR=FZr^1ZOYA+8|hwTtrW=Zen{#%9|g62_=$iCh-1qKOg2|J0} zrplqlU%Pg-OnD}{d^}v)!zInddpW(!qH>mRxS4tXx*wl8Q&^$!{643FZQb z>ye3@1pDUHhO|jU(O=We)YHr&j>vG^okoo>Qh?Y$Oyv8>oKm#F^!!?cHlgQH^zgfb z`~gkOXIKDmI^m9|mJ`xVdbr%uA4L?-qS90k_ADBhi``X2cMp)11PsDDT(%O|R{2jC z5Y1G51!Vc+7a8AF2Cc~}>Lh$*AKw>X7X7GnfH^%}jp2XtN_s+&2@uykoBg`Oh$hf` zrY}@_b9Vo7ik&|r(<|0@3{kT;Zp+g9x~8du@`Qm1F6`Sd8jQ$;P0zg&;)(Mevpv&| ztX)66k}BG5e0lw>P~naF2?Oo2`q8P=m44(i)76%A!~W)SyjEs)dW})S{b}DO9mJPB z2AlH0mAzrl7I)qEKPeZ^vn1I<{KoMzo|oy2o4M29t{$~gSz;MzYvWy2)<_V%BL^$0 z0L;0INHAhB2jwR;a>9U

    nI4t5DdE^hf6NB!|>oHT;T zjfERE>vqg|(TASe{#)7Er|a+am2iIO!Ub~zNkL?>bf$89X{=w!E4+&s{!sM&1zm!} zI*omApM2FR{%Uvoh?D54U&I*e6>U1)Y& z8Aao}eQyiZgni03(RUIm&lXf|&E>hXzb;HzRPoJ}tIXt=Ij>>SJ2Ca<9LZJ=a_nih zvrMkHU7H!wa~Im$`zU(=L+>Ga?bOe?`i#U%O~>xln`ZRe9fg z&Dmnh*c+KMm=nN3R#iC4qL%LTRCL=ukHy(?EB}aNjVrSbUP_jJT)lp8pF6IIHFND! za~SXyUXl|oAn=CC^S3>Ga^*X(S>U(&05j&w^1hLMcJo`QPwBT9l#V^gD^BrZQ6_Qx zj*8bGSzB)_Q-VBa?b^T(Lj&d;FBcZd$#k$aIx4y`>!m((D!~M&E3+Q)(DaQeFXrPH zrZ_Ae&M&W#bfb;gK2Us{S4!1%3gX)V814Or&@;AHM?il$g_rXCk^4E0J#VjXt?PT_ z)lW75qd!bId5tgU&@ta~R=?u@D!NlR&JsmkAv~TZtCD@KG;fFmI?gNT^7pCoY!_ww zFE0I85WGJUp({z4aq-<8n%nq#a)nP#Y@3nG3~tp%)d2DNMZqVD_xdVG$7@hb$(uds z++mKK&Bt3yWSIpY!+)%ULDauznebw!A?~yM_4M(2VczQ_bq6lm7|Z|5R^Tf>R1}~| z@H(4*=C@A!$WOa{JLzf&#@1e3-`Gt|JThKMld)Zr8z4*eVcVsc9z!0q;9VcNAuS+w z-phAYT~w_81aAmk&r|9`p|76lSKnPf`>NqA z=iI=r6ld@FT0Dm#{JMg+dD56dy=~z1Cd&fKErCQ+fk5ThP8xeLo`xB_UM}g}{(-Rh zrOkKl6fD+Sa_kDsnHuDY<4tcnok!z5zJBSZkkJ!~L*1{$_BX7~=1UO*7Xz=o8Zd7A zB~A_}NLzOU^_cv$?cMqCo%3B^`e8AkcI2pj#`$0FFrajD0kV>)JzbNazlBvQ* z@hc5BMTJQgIk>>$QWK|;kPI}2^$iURi;Lfs<4AHZ=dv|tWdKY^rHAj>!oRIYWwKR- zGtlGRq~eM?#RS1i`1Q48Cn*FfMk=1#)3kaqQ!fQ-Y-77HH*@0M4D$)KFs`0yq3g42 zU(D7H2)FUqdPT2r2_9eHW_bL@=x$*THQzPMiHA=MT#g8R+bX1W@c!nb{w}Be;#r=) zW<~OY)-32;lp__yF0{0?rE_P8HvTI0ex2M+DQXc>JY;LvQ3@?5Jlx4!B)AEc4aITq zqiy~Q8-f@+)4z*z_~U6&_cWQ6m@;orFPuNMR3WtIY4hc`ywQuY-ov$Dwy9MJ@4jYT zGe)%8B(}Kqj*)_|8-&2|4>{I&z=w8KkF{belS)D^Pa6`Gl!A*EfG{iMqV7)_w8<+ied!x^MKG z*4d-Kq(Zx;%O3h?}!SoH@mF8tde;Hs>p8bbOxW zU@Q?eShO~EC#@$5a0?A>j=kX~ercx%WeQ4dQe_pNonu}!fL0SGp!-_s;1v1=#(D*@ayVY8bavN<~pSgzU#-srgvdrl-US~zJsr;>CUJxFpbA=f@Mb!_zB8fBW zMWJ5$J4yTby(haER52YBLuJ5!p^)6MIxq-7TSCGH6jH~tT^<-s6_qbbQ5;tpFq@Oz z;K?CjT)?Dw(3+g}{1^VVH*OM`|LA-7ZGKH)Ij@0-fc^Gkl}y?Mp+{~0=FTH@v4UsE z#63@vin#yOr8@M)+e5$Pe81<=qN5a?RD^5W!d5Yo@e(W(3HqA@DTz;RT)y=q=P4SeUy@@|9S+qc=0r%NQCJG<>-F&QtAL~($3F#= z?j{Crb&ozjQH(DCMe!d6ZTyRm!!{%|%v(^0EGINdb<)&NfaU^4ftlRuE{NgUS5fI? z7$i#VzNQc_NO^M7nDe3dT5_$mul%*M8;i_5B(JQAnLU#Lkuz8I-#rQz(44Amc49Q5+3YG`z9dMq)9SRZ9@%Dx1C#Hdik(+!d0y7z&d8n z1_uH?W7@#6PM73W+`|sV`N7_uiP(x>+ zKktp1Jvce>;(FMzweCFSpqljkS`TwRydxZ2|BhvoIkwYAJ`hmn+~M>y39!4!DeZvq%xF=|hh^_9KX1m?Wz%9r>|+NFzk>v%Kd}nZ%ze z=G{Sia`wii82{=yGETjxoS7<%;mwwP0((F+(5>vVZypfhjUeJDhQER)>i=2n5bA+By&Q*lz;e#b>g zTP;iA_a_`qls@G%H9f66%wGA9=~+9=h_#m0#^<3W-KKnKl`;zVr)d2U^V_PT8MA55 z_X=}#9q$?WcAM`?F)H^4X}{Bn_h=m?;Am=YlpLrK&_xR;)e=Sdf&1s0-dRfmZE$&Q zS=stZW&kX&Z*bg6`28uf#oO_p{<=dt24%cP;VO^%;-KnGo!)2%zvlb?OuvhOKNlAl zCpwGupIyJhk@GEwu9oHMuC}VJiodPV%4kqxjX6Vb?aLZ$97=gyht|(qjjFEFxP6(7 z$=NV3#6YLCI?P>&)JVRgJ7We`0VJt1+{A!+fUhuc-S8ij?spiY-728}F%^N9xnVHw z*&eY79#{0S+orM>`q?Yz1rFHWh;ERF;J|0U<(P)ZOEwvm5m4QGc{ga=t>d$9$lOLoF=HrfnJj^z{ zDyqt`Y-BGJ+}ubw&ey}T{j*XuSs_!NiuKpiUW&Z8?`4)*ib`q3Y|5ULBUssP(wo~e zuje7D++Z{2eV=C1>N~XtmBII*G~6Sp<3DR((zRvFmZ0wp7ii9GkQ<@gm54VprZmb8Y;Gj>)&`?j;4s*hsP=DTwV zovCbX*=aQ=@{@trv^s67<*AMl&d_(6ncPx7<3<3DIUB^HVg59SWOI*{8&Yt_0oCJc zvT1{`RrBcmabY$N$1Pk2L>)G@Z+54^vMB|-N;@e8V`P^!PBu5zdFkraPTau)QS&Ds z*~EIAepZ8j=*Qf4rzt@Y4(D z>Gc^PPF75iYi-{?_iaSo|EM+l0DC z{Y{epvCV@76UWjee8#JMhTRxgkMAnC`xn?q^YBl69TH#gz9R$&b=Od zCEwZo>51>rz|qy1x62)qZrzSb^+;7@XR#HfVQCe0^9RfdV=$!azRQZ)Jlxp`fP}}N z=)J%H=+6FkH<$7C`!-(u3#fENl$=RXYnz8IJx*!Ku5-FDJeIX3gs ztD12$!S)7U;oxH`lNxhaIOSkw0rQ#`{>O8<+S=rqUtF5gGx|!nsibRv81AFBm-U$!6(-92(62VT+SH4?kZM!{I=h`q_4gBojj|Nt)F9wTUEU^-N&YeLP!| z8Zpz!G{=~XP;#X_qT9l;$M;K;ZjO&b$f@7j9`WBMICW3jzh(BBefq*w;WOpumzrd? zcBX-5p9g3<(}^ZEvNAgvVluy;Sn++*P%e6j(!{5Yj8x(tE8Uf!9kN|1!@S=|3hS34MLq>(-NL)kk^_v31(3X}gU%24|nM zCA=-jJayQyQ&jbJ)yJ^4N#!+mVjm?{a(e){@n34Hne*yJB(4V9ytkgoSG0sMc+zCQD{Az{#Z=7nU%gz!qNHB0SS}6dt37bXTMSqg2=1_Vj5zMo-(gL zfYtW@@$pKdkk8$9JZsb!-aP6q3y*TszEcU$i8X?PM~ZCpc&z3gK6zr-XF|{}jAOau<{Q$9S@}4O>_LGoT9~psXn)4P^H%80eDpH?M*KEQrCm{On?+SeXH^pY8 zDJr_N+XgV(uWOT(fv>?9(U+9!ENdyBlB6|Rrv1zfeJhxIGg$>c*eGI?Dnuem)C57^Dgx$@(?b%vqF?7Wi{|p~4_tjHtt*(dn zUVB}0=x`eEj<~j!Y^^kdY<0MB_g&kaN3tGx$`W`P=RZqVPKAyc3LS6HIZWd=GBADo zwn^l%&!)B~LMbHUg40X3eJnFTw?R{rN%dQLcW_C=oX=p)HaG;?6nAE1Wb{CJ2#y+7 zIXqf05)ks8)Fwn`V6CU&6IugwDG*aehX#YM(G74Mr}|yItfa>U;_O$gFH>@yVa$VI z*G>zAi`QN^__h|Fkw##?y5;GM?W-$=T~p1{Nf^|#JTp6(0Fl90Xn!#EvFG&LX}A=} z`XBw=p3@sZL)sVq5!yk?drS=;oQfK5DRPt8yaoKn$~WQ8bCGK|(Cs_@GR3lfRI9YK z;FjV_q?Qi3Xuimpq)^0@qi-$Kl5fng;>!3taBhXNNzG#{Y4D&I0plz;gr37sPIE6uT-^ubbbXT5!U5pfSi{z-C)ArG~e^1b_56|eCI{lnUcmG+a)<0YgzCwU-m^r=s+#B=}(g*I6d^*4Y2o_W>&vv25-ybLVfCuBUAgvkc z=-M>W6=5q9W~>7^Cdu%Y^GcFo(qD%qp?_ZYG7GLEw0bJ6JUnnW%|YzZcpO&L)Sx4I zCC8kttEAU^DLJEWc`hb$I(1w1d~+wmEwaXQjf9bE+X&s-lk*)Xd>8{C1+Lj5XB%E@ zqIRi#%_ukzMZR6-R(Jh;6n+amQh}MZrb|$@?;?+M{mePs;^wRHoL1yWPF`V)e6Tmq zD!U7V6gQo24%9#EcU{JQazzn@dJcF4#1avM#gOiqn3zCuI^J6ofSq?gE_=05+-4&V>y5iH)u4##e3xhkV7X*mBh#&x@JYeN_()*FM|zJSQr0 z&tq14%<$ZWp$Qx=CYDS|bJO2HW%{lA>hf0&jnGfr(J6;TYSWJs>!m~*VTLU^zhDrP z!5|{?u9WRax%Iabgr|?f+2jl#({9>wv#y52zccFaCSWG9{dEs2YbuPpE%KA%U|=5?n&|Rn1$j6dg>vyfcxR8iZjne5*Vl` zt$(=sI8UCg{YE%pW2{(tvY)BVEyr;FOyjHFc5aIyal3DIXdTtfnK-veXA9THJ+J&y zX2*){UQt5PCPrc9dv3U8PFM}YOwS;j+BH23nH>Za4BT3~hbH3WkF}PZj;Q03nqd9x zXUO5RrJP4uHwP0`Bu6_qa+sP4kw5+EA@rK>jJA**RFfDPaY7@5F~Gg-4*#Su;dx($ z$VI4Ko*O(zW1HQ^V`W8<^*-v)yg)ury;^$i9z)w({?7B`NmRW~=Ck~%`!$yWX2;d4 zBUF|t<|TH%RM_2h|I==UEKYjbk9OLuJIXkzv@JNfxMYnz-|p8MGG-;RX-}DJTaa;m z=p~QLiAvUCaMeAW|M0%RM?3rLJ-fXnzAYXzcz)}Yo!fKUizCa^AAfu0yX9N!&aR=R zxy7qBgDo#7g<1_vql!dtJl#X3oLSQIIEaP3_S)9b&et5ZRkeJ(=H3t#2;2eFmCWEkH0)#@`16)m_|O?Cf%!1m%{-gI8jVS5=4U{`q6KNr+9MIaoCK-G!r@dP-d?-}K*ick&vxS8%E=CaeVAJ~Z!G z&uP@&wY0;L=5r12%N}2v)4Ly6q;)RI$((*1tSO1A zlt#%)E-)@3Q^J%J!m3jKg)MwB+jBdnkA!T2iEKeZ$+GYsn;QpmJMSK_k$Bjgy)KxC zWK)-w%z`Sdpw}LU~)-%KA~z#T3jtS&Ee>v@&wal()qj^8*(2vI_{c?;}6v- z<;_bA&mMc5FB6zaOyJ}>)^TU}t7mUWfvkR`U~JG>!?~_2HtT%*y~W$1nC<*63Tns` zFtZxtLDN_ahb}dk%|NkFNxJ8IJCSH=YU+zh3zP9BE2WHexVZO#si~d9wOhBuG51hr zAp|wXpn`OB@V#w+{)nF6e$_ab^{`2<%P=FMv|`ZXCS#F0TT=;$#_ zf`u_J^ab%Mv1ac{ukK+=Vseu8dw02{M`u45;rm!bcG~cGsnkv1Fnhw@8`pyNdkPqh zg?$lkCy5GSR6T~N#m&AhB!}vTEicvToOWcrqT>+9m_)?#x%+L?xu0}7z93C8+~`W2qK1vHqdSbOE$k(hlP z=MIJ_8{~}i`w?#Q$}_8a_K|6t9x5BzUaA?{qIpcz$4y4VJbL|`%hIfHhJ=|OmV7wu z6zTqy;g(Y$q`9L25s?~!mBC0N+B@96RFdnhrqF0uLG8~*VlYL`H#m)roD1aoVc`Iwh^;*yw< zU{P^moZJRBr|>U2Au~QcIC$*DWtzPD!FT-TBIMtw4-k~1)5VGcwv99CMAWOcYfp1l ze~8^V)}n0wAY-uDHI>}5sFeImC5>b8KtFwm4Q`VR-R1h=W`_ed0EXm-PHj8LMXv{G zq&|zfJ^RA!aS8SXi^sp!F2#;NdN}-CdmjfOTA*nr&W$mjIQV`m(M&rvbR|Nm=~I6M zTmE(9-Me=~%vs53b(D7)Hw6$vnFSrxwuCQB@2`K+@#O}#w^5Q@dSzwzBp3EH`ZD|? zxm+5;uGQXtLxonH;3VR+u(GQyyz?+mQ#fk%<|toG=;guA{b$dXnM%!k|2|Z~nw@nZ zmy4cicSlhgZdv)P%hvAzkl|)s@RuCwZ4ve7-4eO;_5&BmC54#>_WAOo?e(f9)CBhTzQF^G80dJ2tj}1^O))vlhfPdeaK{Zy zSb+pR+}hCCn4NcK`?JHW6;;q}x5=8J~k1tOLgC<^g%%KYDC7oJ8c*seZa)A>nE=T)f8Svp^kFUOoctRC^ma(s3L%~)H zW%~U?n@)bCIl^>Y=T{6-dY3!kNbYsj;ts_)_`+hKdNEghNG|)Z1Bv04x50!u_gJ^r zrqrY_(moaC_VX{8b{q9~Z7;PV&iPC>PVjbceLeN*^V+j~y-WOY#oMgv8y$y~`!DVY zu31{YSjR#`_Wvk*?|7`+|9|+D%xn@eA}f__vO8%BiHwA@N=C?DQOU?k%9c?QvMM7h zWhIKJh-4*^Ei>hQo?X}H^ZR}8`}epX_wBFiaaGRudAyI~c&+DHVJoT*`S9`4qo*$o zu3u*+RM*Tc_4#x2>G5ChR|vL@a`9^B(XR|kbLkKEoon0%-VqB5<|BZ6D4n=c+dZz(&GQBzowLo6?J!3nzhaD=oKf$hrq>I}6EV;an z=)VDibTaBa4Gj&Qoc0Rc?jtW~+)0WT4e#hEDq8=@bT%{}NTZ=3&N+zv86ltA*`rTY z?+^+WKAv_i z*>xghwFPf<23&oF0m7@%`RBiSABFwuFOMA&JwN(?K{f4PmWFiaelCWwm;qh z_6q1`j8)N&-R~N2`z%;y^?7oqrVGqiv4>U*uQCZZn(mF}r69yo-#d)Rke?iMrrh$e zygk`xV$YFDwFo6M6Emt7>7Esy2PN|72U}w#TBonyk_*!$e6cN8Yus(C=VDfOpp7hx z5FC6~t|)GZE-q6)WB3U}caz4gR?_`n~UKP8(Z_A9waUS<5kunFcWJb@_}k0CZkjUzT&6>S`;Ku-4>Sv}4RG?{^d zzhG~#1p{AgZJE!z<65xwsGtOm(g;oYQ^gy_#UvwjIG04L-V6w%Fs^+{_fI5d&P0s* z8=I(0?n)OlDsAQ-uA+3HYkn~xIiWf!b}fsW%(`Su{mChzcS_7jc)z<0B8D^(L!!)%A9Pqh;i!4AP%c+AUQ)GPn;5$}Knf5bn(WVk>fS>u~&O5;N8_ zb>iM1hd;M^TY_G_-8eWz>9RG5Qi_pI!e1r*+6=|BH#9{Ol28fu40(qu7unWZ%G8t- z78ZY?X#WM$vL8Nt5Qw#FisVeaeKbkW^Dr*$@2R_3wQ{=BRQ#ZP|G2Pl8VzHpOb=EG zSa~5SptcNev?8!SB2@TpO%NvwieU_4DD^RKVEG;E$y8r|f}p-7eQsrDpZCq0h%4WV zR@S#vzxv|OzP+}APBL}1^5#o{tCv;dpY-L=nNldG`dMGuZ}Q=N^_qQPg7|(XdV}1P z+`1dbpVh=Vu73bXE?d9FkY4=Fm1I5N8j{v4uH|_=_AnA*bAofV&{BGdfY};!p0}=`NX<+%q-?>9Z>N}y$?6_KF zpJED5>4(qUt+HEz_%|||H>co_htZ&Ga)(#cp{|~lvEZ@!OVQ_oSb0m5^hnA2&;SMv z&5@i74XnrAe_pBbly!c1GUL-!^iJMWza*tt` zn?(l0?R!3KDSkV)s|&5G)(=btRFEI}a)pWzmeD+A^3Z6nMRi4PZg|Oih+q;1(O9|I zKImNQ6GCbb&Tt08skk40eP0GxH(5w!64oIDileXMF>%{6`Ibddx`gFR3~QRcd@i=E z2MP$I3f8S#ZD0Js%ZCjLJTe93zO6&v_HcBfxUt;Ow{K-OEw?~BI_;v+s`od1;ifqM zI#}vdU`}^ezWx|CMKDvmey&ZCfB%UPs{IFc+>RTMjzFf%^{X)J7`ZZUyDGeNC-Jdt#3dX^-W=6B?$G=$?$JqxX@tVE3l>x?Ark7x~OB}y?vwZMxe*rc&VDl;rU zQ(IJ;BV^a!y#)^+cG$@vaRiI+(lce?c~sK`8Zt_lf2FVnrwKAm(418`9%|tfvE^%0 z*o!;YI8qze%-mx3g7J8pBVX2if=d z2z++U!vzMOirUQ{6TyY%uB%c{O;eS_`88I=Uo9g3f_iTH*oLO6Ku?tJ4C!Jg!_|GU z_vtR|<#$;JkzFYMQ%Z&~md|#3Xlu7^JL69xcBW&72+anh_h8bQ7Q|a}Bx!$x&CT}h zeaQE5C(TQBtKWMUrYYc{co?Aety{NF7LpVwZr`@4nn*qHH=E6Nyd+?TlH`4;z{?Nl z5*ivF3=p-3bnb5~FLn+_r7eFb$X>x6tAct?R7`WP^2NNK=DQ#*wO4Lk@`XB<+8)T1kVii4>i17d%+7 zW;c{XZ z$JNS~Qb-*85yWCulA6k$t$$RlTQj3aThyLd0^b$V*9QAOne*N|yML;ra47KVpk4wm z3%#nLM?@lb)KI1OQ}*`Q>sb;Mc~r$C3Y03>o#h8l(WDB#?F?6m4t##CT%5m*?ndCS z^Oo7WZy4v8&-H5x21$JO<=L%PzDoA!p1$R8U&4{2aPagu9`UWXNW@jkUWe0a;X5u= zzYTrR){Dvu+HOY@Pl~1CG((XGPq!bfgpcQmNj8r}ysNVl?@}Ctv-K6% zrK}pDSD(9&>*IGIrlNNEG~Q=lx<=|T-(A!Wa{(E(afK__>!kkGr!oW=xB6GHOL;eX zZgBWcsMEB@^}MHlM$lrepxoEzITlfJpR1NI9NSn{$*rTg*~*$M;{m0J?yPy#4|GS^ z{GKVoPN3eHBV@n-ibN24HeBs=Snm3bLWL*!y}iBgoAgwYlDc(m=NC!VyvL9A3yl1{ zy&=10qP(40)ICt?k&h;cghYozaI1;6we{u8wYoW&gE-|w6gC;eRJfl(&9F?|{1lq> z`uf9DQ#` z1mTA%eR+Pn_3?7JR^wlv&Vh4H#pB1F-QDug*7)KbB1Rxngq8K z5`L|$Kq~i?Tjj#S0vwzA+$s^V`s}ZvbI!hPo1c$Ql3G8W6bc+(%KfCzZJh0!a37e< zNwG}K$`T-bWbZTc`-(dCg|y9;KHeMqA5j&v6g`iWElZ}m6UF;uj=SnN^SNi4Ey7i$&%WB2 zRceTbu7HX(peE$de4z)Z&C;y)kZ%7rHT8a&0%r38(^t@-H(5fs>~8vqNK2 zPX0%4+j-)hgoO0{ZXpGl1xE1f8hBhT1Ql#pdy=`J_=2WKJnL?E#eVdm92^`zNump3 z=kuu+n+c(C++C4?Z-d;~akZ(aqGAOhVA2yZCTN_UW_JVO3`NcMr334HmD`54+ETyVFQUO4N1{ zurWx~^T%gLy8022;?q>qbQ9v^&nfi({bagFxw-oT)}9WziwFsw`bb^_3=)PtJ>(zW zzb|&%t^-WMgU63q)GuHDWA4>&`{{l-5@-lgEmaxAD0X7}ZF_rrON(XsZZR=a71H1c zQB1T?OxS>4-b!~93^l^Z5iLMxIaZ&sFrjX30Uf;B@ zHu{d-rz!47_E)zD#r6d9d494<_qu)aW(RgVgrrJ0_{FyVS=>j8Eh)~u`4XLCXo&$B zh>13I(%sPD`W50f()5j!0I30wlFZ9dw!9_0OPzfXPh};N5#p(VJGzfcAwsqr7FMb$a8O_= zb9!;BbyO;;%|`pgiCD{^BZBkG%kuAAqI2`};pieA$sEy$l2+JShAV1rUBS!CD@psD z)Pw5k)Tt+=g0Z@$MyH8w+qNgpJf|i-envLKv!#SbG+t9+?&nV#&YiJGdLG0Ksauuw z*hK2)NQ?JCB{ZiiDH6A&?SSHAHrj*c=4ma7d3j>>UM7MpyY6U#Vy)Z+tEqt2=K0xK zT(c5Bs>rC8bYvsUS?#3`6?Jdl#>&JrI5cD_^`N%)%ZmH%J6a_sj^9>yu}5fVXz1K! z#2#s)y5!|$EOtlO8r~eAmLG=96caNgI1Nlq?fu1UrIO6VQFH{IRcHrj@UTl;Ryq*B1=GENeEt4YnhKvfOQ)2J;MSJ!{e z&Px2bf(ON-OLOjI36BiS=n0dFlSI3@iQ?Dls;rz`a^ySv(x&tLqM{GsSLhuX8hY5) zHhXRyX|!-V)slST>X-;&~HDmP}=mZ`QnY|xHDH2 zwxq14qO6RTc$=D9wtnvO=g%pgZ->`vRA5rM|K+kVFMKK4KlB|FGfhauM`ns)({NHu zmeW9A-)cQ(erf4kdRCKl&+%}&M!cyc<@50MdT(Dkccte{W|Q?#UzO9ds8e8NFu$;n zlALV%r@(P+$>6xkXz`0M$52;No5qx1oF!cN_}$dxWZ$Hk%Q0?}8?*@0oi0;cr!6;3 z_H8yz@3K2T>Ficx;k*!-pjVtja>be2U~ug3t&WYS6j>>Q5*>BjvO3psisFQ()0i}) z$9eio>z_3HO)G1vIMUr&CW~Ae^q{4U zTawi~v~(I5+Uso%Ot8b1o*MNEBO$DT;3gF6(5?qS2%tZhfPO=GBl|h=A>#LBf@LDa z1TfDjnb|n3I4kBN%_@%-!q2B&%OPHQ!hJX-xTc+=EC<*zsD3m<#Oa7`0=f& z&C7dTAuq@tfpmp4M3T2&JXhl6==3x%6#Z2{N`#n`TX8@MiItP{f|RhD+Q3Rc1Tj;O zw14O4=Ofc=u?w(0ym5xA8gzZC_bMv(&N^E*BYoNaTx@ZE9(IM2e|PtK%q^{Kt?W)4 z?E?p{%=MXLcSA})PEz>OW(0j`7vb%*T5=42`^JtNVI7V`^H#<`I0Bb#q>@^Y{aBlf zhxg4S=`=n3U_UbBf}{)Eu_Y0mS`IHE1l_!Mc9G3tjaDOtNl0r>p1j@ShLh7$!Qr_p zswFWwnQLT*w@*Tr(|VoPLXZVI$oRYXbd_d|!sEv1s?NS%afjPsO5kP4ly9b@N{J-R zqg{_5&OIr{MjI!Il3DK0^ua@i)>c*$eWt@3hv9RDeTq<|U0aXrMc5iOXw=3Dsieq& zUXB=C>>+dG4Aj)H|548KTE9=S_YRAPFf zY;9d;wVwlA{+StPsc)cUG|}J2pC8TEA0gcpA>lWxTxt9Ng9UI>S;oB;wLKR)5RkJJ zwuTUb?Pu16*3rqXChs;higkMZCyQk3IT#rkM`)fnw!izj|6ccxsB{+nTx^PNn@FR4 z+rXqJfk!z*E-X6RDwRh)SBnk_Xeuks>Z0?UPn&aVyO0=2aVIX$dO=|c5FJBf<7Gv8o?A5~dMAzC3;K1aopSgoi#F@l*uE zJIf`IN050rog2fTk1qR_ui*=qxBOr+oK?kuf9EC%DUgb}f>cMjy!a_ogE(U@u*!xdiAjrCu zmY0%p8o(9PLi%cKY**=gB%pf}NI>})D{o97&1Cu@9{Nk~y_4(vy#}ThpYJ|^bhGEF zRD5VCa4{M>o}jf~g2P(K)SFzh*3!3hBq9v&wt;hj6{S8BW5=WE;$f^V7Gf;#J^s7ZTsv&gPpEjA)}Rj=Q^mHSM$WsAeAX@d)`39@QzIC)Nk zQ>T0Y2`#&8bo`1%5y0oNpV=ZBVeg0#i#+1)-HR3D*y#QjHq~E-bm6D+H~P8mkc`=z zaP_WQ;1}<=2Qei+T}!KW>1&wlcH37s`GpNwCVu>g;ofgm0Wr$`Hm{iC(jI=80M2v! zMX@`tu?12hU0-(vz(slFlRmOwVYS4m{rv>sPCtoToL1{csw{u^C-c^=AKkT zU&3@i>~Al*e?CgbPq%!I#hQTh3TBH^oN;)>&ut`atX4I9ME)j~X2|?LHPg3OK<+XQ z_)cr-m8N5nWWk}K7!vo}L=LePW8X4Eicsns`npZ#F(6aLJvUHHn?_SIB!wm123n@V zO1t*$Yk&1h;xn9H&&HKSaqg3(Wa8oBVPz#h2K|1Zt{#s*>1IaiEd-}n9E81R))SYZ zgK`-nH2}Zs?&r+gJLN-Rdj;b_NX}Z2?V;IJY|1*w0Bh(|>lYSKeGK@u_c}ZrKvQgTirf^st>uq{qP=-m2!vU_LCK|Kjv{F(%M^0UumvfE;{TRE54fT>EsX*+q z`y_p@&nAz(Gb0T?gW?(Zf=xyFQ3U{710x@jL$Q2r)0s`EMN%ZKDG_dMkwha|p0ycl zX7>sR=aepCP-oIA%!-gTe*B9PZtvZM>Jxs<{YpdaG53rJ3qi2T7y(wX+YAzOa){*h7F&}4a#3PGyx9tq2vj6Z{r0RI%Yhrl=H|a4^O}_8cAne+-HFM` zZ-3N(Y*Tp_cWB2JYUgF`r!t>gFSGQqR(+B`6i7gMgv4}{6Onni`0k6Q(Zux7w?fow zxPR#L_x2q}bIx*CmC80g4zCREc&!hggSC#j_6xJ^^R^?duB<@5NJv_G0m&IU4%q(q z3GuU)I(6yNd=MG=gX8I6@{RXRw~j>W=RRFwIYQ}pJ5p!DmHX#Bkx5xag;W-PlwEN= zvWNY2wSSNTSLoWfktiDqm8;*?OCZAk=vkQHP%HAZ=TPnnu_OT%z(BxqmZt`tdsJQR zkKKT?c>db@=Cxd>7}F+m7NdiQ=m4*<_QyYnPrGQ(KK;FP`854~TA4F>_VP<5 z3+qbc-MyEo`5UaJ?fl7iTf8(S@SUC3eiWDWEjq@2T%)ZvT9oiY^llWRlUa7a!;?(m zbrK4`Y#ts=Z;ugQjAYVW?`!2V6?Y;?IAQg>9=M)iSx!AS&Ek6M++z`HSAT)nhoeFi zG$qe)X_MR~K>@+Gz(B&J`0NY#4MCKT87NZ@($6akjUXLmxCh(8u))%31z-@_UfWka%jnFYH>X z9@xG#IsO&%kQK*+ii*TFyaO$*N;~q-V3`?Ppd*tMT&&Q^VMe1Yp_PiB z>nCQmq#nbsUepJ!)rCQ`JVeQCtqDK8BR&*r*CCZ@6X_CK+d{y zsJZ8(PKH}?8AmC4 z)4UGv(wnLyCp2_yx60fssKBA(3o!fQqJk$~ON;-uuUsgKY|ovG-Y)<4X2mC7o*IJx zsZ*aoV(Vczi4_Ef4T6|o@li%OJdn4Cwq^iYY3O_W(=}H0TY6+BKGVUxcV~vSXzY>q zBy+g_N(?gNmL(eQoIo>OW?Ne@tbE_Jx1TSXpB^7?dGTQ{4gcq}XYTHQ5g}t5ahUpy z@(HzVe8st6XRLm|+RqoWSchS%OWKaz>maclLiqm83-o7n&BZYq8!K zg*C1hO+(4o(NXB4Zn4wl<8Q+3BEg>6V)Gbk1?WV>P+9ZPA;lNJ42jeZxO*`6A*m>D zv)aldNY$~U!w@4Y@2l}$jL>{G(WUeFG*c6*8 zY8Ag={Ti)+#EF>d4t(YdkwZvkmOmkH1bSm~!1=9sykK0*W*Pb$H{)+>2?2uga`Y-` zoH_i8&S9>}Qsns^rs2mH4cmr92`=Pma>Ja`JJnu3`VqE?DblJwOPOC^?A;R)f{e^y zk0g4%^yu{>KEc2?d&yDa)A9`yaz(R}bZS=t~6;!Kfy3Jl&gH6Kz zwzF&VcLXzawsiz^MX0PB5yM*NiT#fLuP#0hrJ%P{iOJ@8!FN`?s)lrzC*NC})X28~ za^&bx3GKF*i|`>`o@`1dt)kstdu8U$1kQ|Th9?)@O=`o+yZvui5SoG zGvsrVIaWk&u8i$z_u3zJ zI+M0^VP>=xNG}|6URnFwwv5KPv#VnSm%*Ux6f&~17@|KZEPNxnjLH`au(IMUtwhR8 z&CF7-Z>6T~)_F(*%!9E6Z&Z?w-lRMA9j!%R4q+GVjDZ$Hva=E&G7iWCQZ5a7inVRV zZSfD7qcDl|)X^6hny*+2nz^^OH*V9{g#iQ^ zXFlzdKy@l{e`gUS(6-V(d*V{*N;rH~bW?+jwrn{U?vH^I?yTxYiegB@FU-$B`W(Ik zqt?oeKflhP?++NZx34b@0IOhVET`7+e@HY!uU}8%JY!)|i&O;x#n{+5LNg2Utv%KE zjoz&@3%F}#-iTM7EAH&SUgpZqw$X}?l&9a@9 z3a}ZSl6y&}aPaEsvpakjUp{lQv#Wb|k3*%h-Vc}EPb3o)Kl<8Sj~_jHBL4$wjJE9$ zNmd^#buSz0N0ZckO+JCG0G=EG)?Ba&keq*e5~ZYg-X2mjB&`Q9p#lPa!?F~)h6Ge? z@sH8aprR!G+|bMdk^`QA7<}NOd2s(eUTL}W81y{tI(D>fIPqk@v$NX|Aa$uJ=Fp-k zsnl%s66oe*EF7$Gg`{VSz>V(2%isQX`VrF zA`zM}Jb54+-;Qwemeo;KF-1jRfHux87isC}1c3Z$p3`MR*{vfQVhPQ~(!h<&1ays| zzz!Hk#%icZv5Pa>?dV=%8(CEyBdKK~1z8P6wL!8S{jY^($wKtyZzeAfIK&dCUUj#uX0Ok!afex>U5nu`b z)}For5zNbwj|ULTz}2-R>4jGIrOx|DovY_4n}>D)9upi5bU_9p3V*Nyb-l;jA?x(b z?nCBQVxpqdbq5EtJbvwx^>e=X>$MA~=~>xgZbC8B3cKB=2V~>~LTO!}GW&Tqu{)(D zdiQ_h(+kY2*n`Z(1F>>5XgETZ3BBbUYc#U_0ozLlW{@=J!b~59`l(a7AM80pVq0vm zevp)fkmzJz`M!NW!tMT0Gb>)X{8@`SLMjuv?*Wcvy{GIkPhsbC7fMgSvO7AcLzEXJ z`6Lze{t*_Xi_8(%A*c)0nO?38Jy8<&@9kBdt{rDR4>xs>Jb7+qwDq=nTWg}+=9Dvy zNp%IyMTYLn|F^Zfs_4!0Qo_@ZZrVH7YxssBON+?_t;ya^iJc{f?TSW5u6u8* zyI9Q``JF|RjQY@=ufOQbtLQ@a$qF8lS~4z8(n&C@=on5D6d9R3ML439EqpuRlLNc{ zX_WRgH8mpIiFI?XJU9R1et_o*8%1-|-ob%{;@k2s#D~97eCtm8A^Hpvse3MIGnc6O z1J{&P4KnEJY~9Uo9Gu)X@Z$8PlXIpCxj38{&|y;M;F+Z_>&&fiHsD|bH^wiZFrxXN zvqzACE5k_oF9fvvtIYGdUC2X;+++wz4VJ4}YqF2dl`k?uQ}E-HH~gb-&#kx=A2=X# zJgc&|N$GrdbO$X9dw1(!R~%qpcI@1FFL2`zH(&3&zd(SAtV(KUXJ<_5pvYr&{P^+9 zKT5VXw*+5GuI1%#kUDtqAUZb%Wy3nh4;&y1f|h9q#<7o85Vs-9O3$bId6;WY8P%H~ z7EM-+%ZEjR6PIaKe^Wns{Vp}Wl-BKYM}zZG&n&$R=QHiGLF>#a(uP`K5;{H zGmNo2;+3}U!FPrD^(wraNrK%#T34-b(*of}1bj%GWORkwACqZ;SWy`Ey@~pv#_c(* zkfet(H3^wgrY-zrU{MiqfCLTRRaPOkg020?X9a+-mjSF3!UFp;wh{Kdk5U(F#shwi zWmfyHGztt%)GQd@0YGH8~yw*44ZocS9qXkunq1Mt8dxMNzUy><*C13y4v{4s`Vd4hDalao&k5z8M<(Uo_Q{tCsyNF_L=JxIOyX zmyC>~MDBNc{N2fFw3wbUNUs())}9o5WI<0TTQLiI8V;NbI*ep+P=1h|t%3KRNz^{@lf5N@rn#}QDSf%Rqw`Gu>nID%N3U+f*s>7YchFx zJIX6ckGFwIP-@-G5Ld+UaYqFgRgxMy!+enMH#4JC7rO&~$gDXtGacS$bhy)Ayhvo6 zkg6;T!AG)1C?cOSzIW}bSEN;WE@HW)MoyQZVX4ni)dHg}8R(K@GFKpp7wy${dv^Ko zK<$xZ4$;@M7Tr8wda#0ic!Hbnoh5$LNpuw9y8QnA`>!)I$7ik{`GsrLRhuPTP+WXE zx}IBvbYjf9jta&fAltENRVB6s=?xQAqeL4f#CRy%%RLYl$kP+;t?cgVk`@voiQ#|q z%F^fGOHa_(e@J7y5BVFqDa~`tJn&5+p4-oUF@;vwrRoJ*RO|1Y40<EjM*Yh3* z6-b>p-X9!r&CzpTw zipTs&l;NUJ$v70Ij==H%%vTd+*Or=xa)R{lI`9YI?7J10BCl`YQ&8{Ys>u3!Hpxv_ zmm#6qL!03azAgpnxwuG=MO`#qQ*)rZ(T!TCPWvu{c~h4w&4oK!*A4Rtz;@LhbJb6k z%LH^hM^6;Uw`g9KysmMx^(@o>dHc`WPfpR>6ZdaUE0BIp&HQkve&}1s1L6BQeNyZ< zI9w{Z_wCq0n!qj0&Q?H4O02Bv`%4=sPMvE4S09`dGq1j*y*Y{$>Vnng)Y%9bvCUND`OVJ@%Cr>-WFl&HOx4 z+#F8#%$+KDs2BGvX2`8ABT`>ryhFR&coW+eTR!Y&_$_>%kHFj=KitMImHxeO zH9IgPcsFyNNL>==>&^Q&kS@(*Uk5*xapd^i|E?!2lJ0iG&K-5VJdYg?+fmR&;4VS} zyI(b{{_jphwKO2aWVL@GNe@GuHXR~0Kf6-ckm(BHdvt`k%bl4^N2KKk-SCPDdxpk4 zf}g&|;{F<0as9ri;7-k`YB$9&)|SM|$EW5psDApSh&LYgPljDl-+!|=>2w;QJ6b?7 z!q!eU#PaJUAM_ELN3pe^^t%13^j_}tnBxxLocN+EvmN)e0`DE#<`{BytsC^odXOW> z9iO^rxStAfrvd$luntlc|5WK5(F5IVSd^BO#9ltZN(`f)s^y_Rs3S@YtJlvhwxS^1 zzdvghzK|)*=KQ}uiY>T4Yp+yb<;%)Y!eWZoH;3Jmk4YyRoflfWvW8 za>}$_F^bGylq@)FRy=j2iknC+Id<2t?$EWnDiOC>@;zm7QJ{uMRq^{Me4U0zHq%=p zNpD?>VLN-c=JfQmGW$+FoY{YmnRS!HoaWh;y&+7*wm2k^eP4joK3GO-0u;}n$sxRynenwyZUKJGSkbFOpT%O@HO95wU}Eh zny3i9uteT1vZuWz9;Esld# zm9LM_+?vyl;0o?sw(xL5ox~BHQQT7pq%*w%N!1i!Ud#-0!DW4&cpyMjKo6T{+cpC} z1jR?q652@ePA}Wba1k0C13sl_gq%!BkWY$?)yifg9;S9x2Qp}d98qv~wjNg!+e4bh z?WLwu+B%|f+1ITkbsoE2Mq2^j`sw{xYPJ*_(t)8au|Nd?x>p-Rcz!Mo1>vOHton`) zyGy_jj-lZcO2=uHLra4MQ*3MeUUJct&z_`T3$6n!(Ljc?DzB-ow&Mxi{kJ)RwV>uN z%hD5t{8n$JaZ$IiVSlr**0U-;$Hfs)WA`QFFSx2}gvc}#%`1Yk1WcCZgsMD)jcykI z{jDi#EId2~-9J9qLxsc(Y&+@2?jxuFb4}si0}++1qz&VgUhOl+wPnV~Q z{ouXaZSHldoSZm0I$bq1dc9K7#`YBNmVy#B4ZxGXDeZ^{a*R>YHy^CJqld-g!Z zq`)7*qLEK>h2)l4i6~~gy%7p97G$4ImwJ%J{6Y-?mRw=EgQH^`Zn2mcdFgk%06A9F z^XCMx8pt1P`bIx*s8OK*h6c}$gx0-%*R+LGy0S;?s4e(^XC~krS3x> z3>}-23QAynN_ytE+yk;RiBICwpzlRJ)ef+T=>dOXuwT z{-c1>b_xn=#+jb_|CtA?Qqa$GC-yanfNpF{h4|5E>4exV# z{D3-pHnb6({6DX2YX18gT3WMx&JgwgwX9LJ0TV42I^M`#2D1&U)U?C7s>HDV&#=ew zPpDJ7llP3~&aKWNVKzws>c6-nr(mCEruy%C5_|7GWmEDz`@;x!X%8N3JZtUn^IdnX zn5Cm3h8-&=<+FOMH{>ym)6Vilp)`4hnV-j6m{m)Vh4V~adotZ7;$-mOwoT;H&%3;S zbT3{ge>hCd|CvjfLw}dOy~~`y`~oxc3$FuLac6%?OebBF=0-+M7M{RmB@d^ElS@6> zV(&zaYvV#SXKj>Irs_VGSDdv`3v6$_6k4`50BE&P%4j% zFl(uFnh!O8Uf@ciY*JHu{_vq_w8PG?(O4TM<1R**ukv#NS3K~^8iO30q@<~I6VDbd z|NMTBntn7_vm3_szhVN{N20rPb_VyPXyI#Z&p-|{ok%0Z9`XD8V}XV%N$tV6jtJtG z=1%zfNObF4-oL-vpv8-f;UPEKbE}t>+GI`BpT{lz6Ec^7zS>E>Wh7sH69Ii%zQA?K z0YfGrk>icb%(UmewzRz2?nvBULWgZ;t;%}Cq+XC1!BRTepe@W+a_gj6L1E#!zk!Uh zRt3!#{svpax{Ynh6sDyu7&e|lHb-x6&~_Q~6AaIOOiY028T@MWQtj?by614y-x(er26?}` zqXVe8k66XpR#)A>Z%bD8=5!tTz;JGSjR+i~55gx>%84s`iiM~R(2oRNJtce91Gu7M zf=eD2&Uty-j5=uR?r6sCo;7KVd@^=7tEzrsS^^x6{V6hl%b=orDVlfFf4=rLo%etl zK8T4quBXQ|FsiT@nSTSDZj(jPGF1~n=!oS)hRqS)WEcafM z%ADLQF0LEal@Z)I^8nY4nT{gUn`YOPptB5&=fA7`4i1%(_?;0prJ{0WriwqIJ}ayg zBkk=hEJVIkrkD5Z&Ti=lVnE{gZIY3DM-Ndkbx5FcP++VJh5cDO7k2(%l2@JWu6n;-q zngHhFvq!hNu$Qci%p;4MHRu5#YB!zXlXL7*nyHqyYM`FZ`zppN29gV~# ze&fgT6zJnL-7%Tnu4sgB)$b90PbO%<`g)UYPjDrsKxCjE50bEOXNvOjdVCuJ0nMecD?p^6TfzV0flJ(^6n#Iz;eLB2n$Bw#zf#+FS zn}UF-4)*AN&I~T)^XD4?#+e%$qR>69l8N4@oZJ!$0J?fiH1@xG`rVv^q!=UZhPGf+Ig_c7(ZLDH&(e^q%Bjuy0_mow&*1_|0aDiGeBhr1t3IN6phyN?P!miH4_V0Oei0QJh*GMLHo6ub!X z483X4HqMWPo*3q`RluEY z>F!}?f`CN&@Ex#({kI*YX3m2L-NKX9uyE!hwkdkK90znBMzeHw(l``vnS<2C67*lo z6$jrP=9}uTk|&Xi+zf63=G$^uq|6ZPtW&32ytcmGgYa8c7C$4#9nr#ddUrw&=^}Ag z{2?abWF?)sf++`4agr-5bcm_%3fQ{L?Rr$C0_Aoj`D7Ei3C=>quVT`fq%`p?_KQ=E z2wS)&2E=3S>0suu$P4|ebWuaIoAt(ajGWG0^t?SNl^J{;+gBcRvx3j$Z^8tdE-}e- z{koXJN??@nj}iHEm2XA-hRJRtJ3>=3m+@7 z_X0t;^@JhCs)r^d9nOE9GmpJlp~b2to&ZiKKy%X8Xclh<#nr_C-GIMZJt+&e#8W^< zH#9Y&o5!jS4VS*kpd(7}l#W+n!C%t8nstP5UtN~x%)&p9gY$$w zPQvZmiJbMd&Nin{aO3U%tD=MM1RPh5o*zPMK`8F4x5Kw#?7^WBVy5Ws-6K`B!*reR zocAo<-a#G2Cfg@@fo^HuoUJ4(!NRviTadb50%sGrL(pcNqL9m?=k?^cNAOLfhc}5j zqODj8doUnE8Tq~dV+yWG{=!M56H7A#j2RdRf4+U+2t~WC@xNDq<^IQITuccqd$CGZ~ zK6&cY`1JHeTk_kaEvBrj3<+Bq(){4wp)_S5mO6N~t|mNRzdlnLc9Xkdc5cO4)}L&1 zhQCM?{Y%%{2s8*1^C=y z^DnNFD0CoWm8+yDC9S?ynmMvR5QrTR+AkfyZld-wxlJnbq?qB+qv22CXfs3egvN$g z5>m=iik2Ate4xBkW?dTiHxMCq1w3z-Iz76UmP5EC*SAB$z0JF zWrJjgTc0CZWw2|l9IHtdzW2`L#EBPGHz>O*JsfroK-L2Q?QpOCnwnR4zzgJyp$x`o zsvr0iD`KO5$bZ;GrFo*Qy?xA_LWUoDwu?*gQ~Nf8V)x4YJh5h!tbWj7y4{@*^34R^ zm!1bLD6{7t-7AS53e61s{o_pMAzRx~K#PE0fI@2eqR4o%()K={^I2J0@cz69U_y_R zhXCsh*(6&c_IdV$2VW{ZS_cNsg(CJNi{^s7HBi?)j}D(DOVWGPvIh=^x3#hl{|>)NW2gq`B|0W( zmmpDz4!zHSbh6gZ`<2;a*Vt3SxBI&Ze*)&TVP*QzD8I3^4P?(1#CC^%Lko*&XS-YN zcI#*CoVNO~o)AduJ4&A1W%%VF8KG{YJ3LyeM9(;P^`QOr0ak^hZ#5p8QczMFo$>0x zmHit3+@YM$+@2sq3?*j z;&lQ@Z?)=Ioe@hHGcz@xMyy#N_5oKE z78LBeejqHS_h|Fl#M6w<%#ciW@F=CGX^Dwp{A}J*s2)2MSKy9S82vo3`ssx5k*cp_jZWV@>E>;HUcbCRBYX(cYj zi{eLhzb4QK{ibWLq9wSrSS71oV?Wy0|9v(_Mj`UXO8jO5!DIYz)%~dSan;&8G6E(v zi=lu8%ioz_D&2q{e=hTkc3DsQvSqbcNr z>HT-8*MZD?_H0JK`NXNZ8-$O^y=)(TbK4NF{J;uPM44iM&x{?7fw~zX@4h*YpU}=A5V$B#?>YJR zbk5Z=-PnGBY4d?W^XsW_qDO!3i{Yyzi=ut|nh)EA;H*k~vp)Pfc-WkRAmhQlrDo%@ zNLEgEsP%Y+vt0$>P`Mp}5cS`)^{#HzJMeo~PCIBQpI4(z3qI0&g*m)-S4`8&9>xb? z)0AQpHLfWMLhK}{>a`Y^QoQGsy|_y1k$mIMEn1J~3up<1)CBG3m$}6^U%KsD;}#O` z-2Y{(k0M>>A0~G8_~hh?w_c8b{ap;v7X5gWrqR@(HTZGLg~z$nr)onABW19LFX8U5$oCEI05SD(rmKg?MkZHS|VaK6NZYr^3;+d;;S zUT_N?fQd~IH%ANxp%QKLuH}M9kE&gUuI?@}041u%4^t1>n37+7H~PCpie@gn^*4Vu z&x6`92FpM^>PE)?I~RS@KZpKV3Iq%M4lG5xed)(vKf2QT5T1mDgf4pTJ9B1$ zeXnW7yrL&uRO)QJBKtS=gyX`kolp56HxOkjS2@Ji=o=WI_zVp8-zav@QH$-!`oZQC&Ek_VGR`*tr^6E|8q|1TXE_B8 zz_MTA31RQ;J@AbIYA59`pn%B@{=(bxg2sr>ls?xo=zl8!PG(=ZPR#t?Tbdu5;{Zf6 zlrcUnNdN~?ST+4vNmyFC%TA`37f3!Ax~Ga>)2T1c7OOx_>;1U%LeS7fv0WAlZvz0qJew<~ zicZHvKp_!~Jii{O2w|Cec-%<7&>L&+6YqBk3O490mROdU003|8_kDEq0}N)XtRoLu zpF8(p%F@n`L~7_K5h&ljeOsnd{iCo7jjaiDL!h;X>O;5B7|%pfOCsoPx`@F1eAb8j@qK|85{-3rbUYU5Jqd)2N}1O;L-eY0 zov$%w+8ny8L4xeVdHT^>=PhVg!G9M&2-7Fnpi_WK3qMZJGyVXajqXkQ-Me41k8N9K z+eN)8L~juc?7pWL-1_S2D6bjiM@2@uYaG>yvnV1pUY50<1_cG7IlGIq7a>hfuIxa5 z+_guK_7oVMo{{8JFaoa*JV4_RJx}A>K_UmiMV)PCqC4jPVj$*(o_nMC+N*>K1iKx- z?Gm1rM68A1*SndzPr)sgE>sWGNMuI0gh}!Pq+vZM2G|h96UT@>2yxHRb-@?1Id_is zs)SWT7&2gBRjV>lNu72$+M)N~+rQNDlN35DcZ}@-BZWpSeyxcK$K{}+T;wH*>LnvT ze)Q!T?l!i_1Ra|4+JPHBopv%vpy^L?5ndg?)%e&TS$%b_GlU*J;OgC*2tgrTcXbcx z9Uwbsmh(#b{e!(}-^^pjZdppK0v86pZus|-W?m&w2~IoLd_Xt1vPlK!0oDD=RQUiX zB^sL8(SLve{cMn9TF@jV`hcjR;kuXCpm1L&N;S|r6w?@3ADRxCDnIzYD*Fz2EZg_} zr;U)+plqRx%1ZWlWMx!B$|x#Z!!Dx;DIuhY?2?hnC@Uo)*(+Pi-lL)9f86x0@9+JM z|MPi2@2BEpI7A9_Mi~QC+^;`TP0u-`P2sTb5&ky=?3nG$5l zyU0lg>iepRSf(QA(yQX^BkeVDVwpLvQp}#me?f~r;65T)C~7#Jz3q1(m0&i*l4z1m zJ!aQ;%>6?B+PXWDg(alkGP}TmMNCkUF3H!`Y~}9VW*ST?gVwqR=v9N59tPc}+h)*q zk+QxA<#*~xU&$sX={NROi&@f*N0CV07qQ_acKV*(=cjxh^*s7|FhRyG*I!eL-z0ZI zlHRz`HT2Ml1x-5Np}d((t55CRWZk`L3rh&$@^|#ZNh26O_O|>wgnbIA+^Dd%8i3 zy(cd2340Scx$-i!8?1A#+4HPph|%Vok6F&0c}nS`IUMkt*?s)?ucF|H)FgQnTNs_C zS8eu?E?DTc`^+d)s;eiq78TAtDe&q-Mh_{W9iI`Ok~WSG=rMg}3{_}9*mT`xPpqcj zi%+n3?nS=*@&&dFbpqeZbO^f1JUB_MjdSFoX}^*6mfm*F}rl=EqXpyj39hLF&iW}zv*gp=Wssw>t9J{jrOe#5RnwTwhkrDFI|7aJrN7$Cx*Ash3_ zIMn~f`~H{cVdiQFvk|4qJMzOQLZcq>Xw-2x@)Dchu>~TY)YX-~%h$kb!Hw;_c!_sF zlVzUYLqIFeNLPFHEbmYL<)pfm92?#+i~O|w1~f=>KNHas36i!$fk>OBSf)`92H==L z-A<363EBCbBX7vOOy~akf^7&`Pm0{eM4Oiggk65zc`d6w{Fcao8k4CtY*aS7Zd^qo zjp=$&oQU|Cm8@7Xakdb=JaoJf;&cfK$05%ST>=d8IfbwS>H;X+;sxnmpcQCQP*i+@ zcuqtFV|pJXokK|va?b0%Hi5fvW`QH+&*M#G1QtrWE+Z_1R|KBo7-%K z1qDADukwx-Od0e__R?g$pXq3^hUOLWg*eK`#-Vx9b7zHKovS>zH5>#;dkncjWk(*` z&9FBM6A&_6ia~}3UF2HY+I?qVT;-sky8Lo%ji;poOk!Gdw=>lsCA3jk zWgMRXH%qMN_wdMt44|as(@bvYJ}D@WT4o-FMMNYwTMy6EAZ#r!FE`D1#6Y9HFu1C! zyKUWqV!|mem+6kM4Y3&h!39vet!qfVO6$dDu>~!6}g+4Zz_-vwagCEn{WFCPYcbSko{<;kCmr#%j z4`=GW{7xB%B8Z=HJ1=iaT$}=v3Kxv~1%q_hG(^#e7q>@flz-ew#%1sqhR>mQk`uGt|1jCJ)6Y7)tMNclYQ2y(ch)h4CpCbGXSl07oIf1u%1p0+xy z(zj~zmIzDG_K3ibrjx9cw6xBr-$$QfAR-THP1|?SII?+Xd-lFIQyJ=S=Coy)$|k&R z+lwt!pWY~$)Ye5U)E#Un-Ie|Rp!-Yzw}Rbi*su?azOY<1SWWU?9l4h|m$S*j=yk!C z;6}2Sawd2OMs`RF%UM<;(8b%4h{wO z`>wu-r+Bm$W)FvhMI>G!b9;pYlikm#y=v=B<02N4`HE5l9S*@~a54-Yr8eeH;G&Y= zTUl5&DY;4M48k133xjJM^x3Fz@0*Ctc^5@b<6o9c9*1T!lVo@yBB>3l)H5=AQ$V!`n*GQf3e!SF73oet+H??3yihYlbUzdL z*2KM^eDW+SE5v0zi6-@yn2+TT?K$rE=cR;xtCP2b9YE_DlC; zxU?^hQ!VXHi`Q!Lc%$dgHrWedCZ=T3MeHHAQo^@g%R|W5M)lVkKiy7_Mf(U-vY56q ziNq71QlT!VlDz*l=a4p;iXpNg{MpQg@dRvN<*jvY+crG7B^Ge`u@5KH?%&oPsVaZ+ zlvnXFD4Mj42khfd`Tc+;&TgBNoBJ;5#KX1Y@lSTyt4Hitki5-v%XACwv$rbAXfv`Z zp`uI7D*^7m#pbt*%1Aw-WF^Lec7qP(-9H_J{`P@;>ss%n3ekTL`7X+`Am;J5fD2E; zk%$g2Vj@*{o;>+F@`zUjD;ZWQ#_O8xVv=68PmrjY5+>))5SGZ>D5K9fAlmi(c|Jt< zr%vIN?^RVTIClF0a@2!I?EAD2@G@;se#Cu3>DVr&3WZ%(0Tsd9abkk&Tnej}k-Ybo zEL`fTuy`AjNQrXvKdg7QN|Y}K}c}}5CCNH(8wH?mYS8Q?gN}cnh4jN zeY(|pbv+|_#zBL7qo1w__gxj{AfSqd(;@r#p;Vh|cO=J%m5He-(^z^B4STc^Z}<=R z*==7f2#6G24BQY!!+<3;upgUuW-B|x8~*U21EG?Ko^MF?p_qV-)}>`NLZ%Xv*LOEt z{j{EtG^8w}A-?0zKIEtThkxC8j&1OaT_pb2*(1E+h{YTo#fDub74oWmq1ok9x;_+d zC*865`K;c*BKm%y`L@^<0`X6wJ@qu|%C;Eod-ayCI7nCk;Hy`!-o2rqrM=ns ziT<|kzGr-l54N4V1EL}c;Ss(%^!3BlwU??UpJEOu5S(p^_4f~??({#dO6QA+c;~BN|9tO`vWf^{-*V;gk5? z#v3za3$EGmfXiH5)bWx^zaz)1j)vz-b6hn(FZ>j!OZuf0x@bo69#X@vYnR(q=AUl( zux+RB2aL@Fl0TKHRD)z)MP=3a_D}ohR$eVbAh@Rr3VHJz5K!Dq_zcxa%>0;RmG$Qj z1lmX#!zXP=4Gk+0Fya+ES1)Y!kt2C378l)RHl0o*{ z>H1Q(>{EuivEi##H)ao?Q|8q>xMWLL#r8cUAAKpQ!sdW?#&QQvB~omo^CFPVu*xJ| z{t&I2>x-Fv1@EcF-IB$-{>13X|88@{atI2J;LyrXWL_NpflfZxmDKT1=~pgO=1=(} z@&05SU^_TF=j}~OA2jC^5LlbXVF8pBwt{sVBNYa|uk697H3YB29{J7IvS&V!ff9LK zxG?mU3RHuwTa&wqJy@~&pKgITG8Ri=^u_*wD_5Ast@Vm@7CwdPbQ8liyWMSS?(Cs4 zT#u*2=nJQSngE>Z;_iC7A(%)5@IXR>pt;F~sG@K!wx{Jxc;Q;h{C&I!L6^ZozO@v? zEEr;KS1M*13SuKXDJ+!f-db^+*cfU778SM+th&wlzbN^2Jv;H0W@{op z{@0&AVDE38An;whMzBNwI8;k+aUUn+15Xrb!1El9_pvz}x@a{>&Nv{L*7L!dmq=3f zCca-npqG-A`|dU<868OF;c{>oN2NNSmhi@YGZ~wDLh#&<`tSSG*_Sd!{PCWvOQ=57 zi-GFrxx}#Zgix+}yz9cZ2^e9Fxjgv$p=U7!{+Ig?7eL_@yks9rCTwvF9fh4_?_ z-m^0Q9>OgC^xqyVk<(qYH59xFbP=KiS6w*qt3hno7nV6jN2_0jYu^KUNf?x+_5L#; zkwYjBsf2~1uiYPw5uYg}{@WuZcEPI05S<{C_a=t^{&4;Oaew@;H<)ddp%hQlGf>j` z%g+46^#1!MBJPzi>E5h=v)g}evA=$b^2=Vjm6w(1q5D!m*Cw)w8iWl{d|fynC$|ox z%Qh<|IA#%gyDBiXDO4mrYty1#xElWe*gZ~i4}d;Ug~y;9AzhrXM?fGgJ^fk$XqTOb z%o?3Q*+N>=n)4L{Kgr=}vj^ywe;tdDVv?XW43dtndbn}VIhBMX;a zUfMIb1;PsaUWNw(!or^5)#yJo5vq;|P)n>Y{L*fNxk#zQt^0N4zJEfGod!99KmTDJ z?>3a@K*Y*3?kIp#Hk8dIC3^v;+}gC9RME`Lb>Xxv9dU4HxnZG+XYseMv4vtGWLhBV=u<*CQ96$-gcn$7|pedmEO608ODCMH0TAiYRY#o?d*gE#=XYxKYq0SQ1PQ?J}`bxmI~YM);?aW&Yw_i;o49kMLKl$W$F3H zz?8j>e@Cw}36?b+zqv%TriR8&e+CsoUb0~&=xS-WLuf=|R+2T;U)yZuFxCgnOu6rS2V1i1Fu6crvln2x^y&kzbux`)I~D0us^2^8sw$Y-@r zJQR0`{HJvoZkNa^U?KuMPc2r?F5kg4hQhR72lxPVNbw{fZbmn^13JgB&d@O!hu~Ws zLN%^A)Cv~9*LqC}Gh!PWhHg;ctR!E8rH5#Uf#|N}#zD|2VRxzjVIL|nv~#=N1>hIZ z9>|jINl>|psYTo5Lu;$UolG!9TD++&VWkj>;RD5aF; zxbA!Z+Af`dI+x5cPs8$G;Gcrs)oO2W`t$^v>XgWY!X8k|E>kqwlb$LbIMC3jBOmnR zhWdXSiX0Vu9WF5GfBHxQe_wyq$o0I~vfmEolKi08r+oV;XFToe%%Xk)XtY?kBkfX? z5kZ{6r>y_ug^?QvVWPcr~H;2d>AW9c6yCtjf`=l&lVj+}UL;ZBI>`NPJSYUpLAsjlN?w{TiR_O@CfJS&8K0f)W3T~AD z&YrsbuipbyhJyaE;7xF8=D~iyOAJrwTHOza8vAfVb9IS;Ae<6Ra&#-UY}GuALX3vm+r zOf0c?DpW$bUY?L*z(wk(8-_+lYmy1UbI?AwEQH(%4;KS(3earP(wy-D86EmYx;1Qd=inyMEA- z#`K`wpZTb}YTEl=?PH;|L{`6)tG#hUu8r4I-!1qA3mw!|{%^?t@A$3X3Q8>c(Xp{L z1$4wUvu<|w{@4tnx^dYs zkEmL;;}Qoy6ICZiFssjtxMphy>C3+Ejl;7TS8v!@u8olg_KFpNM+y9V2{R|YN8&7- zk~$C`gm8GdZd_#J{Fg9^_|1~*KmB#t)()%wfgyr{g8YRDsP;Gjog+g6zU22lS@Npy z&&s4++ncD7j35h++m`YYcrbp+QX|j~I|fXcKM-1@WxWX+VB$!4nK$Pc1~YMUU#WC_N#T&zo+^C2?G-s--c6e;`TWL z<@HJ7SKMY>o7hqO`hps&MhBwE_pD1m#UJMbP>$l?BuPeFOWbtBi2OB`U>A4{c`{_ijceE$^k@)^W}#0-+m z6%e1jVu^9`2%()=8=-IqMuSLdZK*5Fbg&Ce&>_fc#Jcs}{+@%XT`kZGpG%hzNo(;o zB4EJi=&mnd6@iIjFzsf$yU7{EBaLJRm3rl&(4H@qVSGDG3J3PgRyY*I#c_Zt0P%kO zq%9X+=71`kopb%0xSx-jdd<(mcLLV5cYO#tg%}Q-q~xuysw++t#USK%zo1b%DGZ)n z$zkX!Rbq2|Y0gMW@(sY;jQ72_KxW4jhUV&s1%!4N#-8@w2x7J*DIoyk77_|l_i*|+MM?Ef7@>6K-?C{-DqIL!4PF)m?p3ZV z@J>Nr&7Uw@qK}o>Q|-TjXdjI)-MNx*>+W694EKmeSA+dom`3av(mEnECr(ib@smx| z=%ghQ;UW`=jn&|vFy7_mt>75ACm3J?qysYrh6p7U;@xayzsQfzik(YjBTJA=uQBkw z1O6z~ZDFpU<)41tMjHwp`y6ux`0 z41o~Jxj2Fa9U9iw#28vaMEBIGX%t^@XbE@rGo-Qxs+v&T4Nzz2-X1}87^LZEe83{2 z4vet6LpDqs~(M-3W8$9 zt$<%daD{4hZfP9^+Q>n{_T!F}bU!(@4l69?KC^r6{P#b& z00T%IgIL4^T{v@K)ezoca2*TrYj~VNdqvG(Q+Ho(sw|bC%|NdpGP&47&q74yNOy+o z;#Z6-S^KY3X%??H&C<+!tEr>YPr!eRFNLr=6v2Q0h19FPX%TK){QJ58-#>R3uI)Ad zBVc+&w5g-gb$wMu?DOaHQg4~0-bSJJHZ=v>u`Mbdt5&WgK<^2m<)3&k-mARa-(|hi z)X#-3nL?#?JA!43l~BT1x4_pt?KL$uq2s~!YrPtqX}o`A|4Hmlx7Io`y4<%hQR)0L zX?%A`PY-kbP=f8gT%nJRefKUq0m`tRq#^!W-8M0?<78U1(V;`1hli^QLZsYWS5$r! znE8oJyj!7mp|YxUbAW?L=JZdhuGPx?e>@H|S`d$aze=|F>5hE?t|2%5Ry4yX2lXd3 zSdO=3bbuBFqM&PQvmt!2pTEBVQy}8b4z_E3(v`;_UBIYCh(g+9RF;{UnSz4C(W9M= zIx^6raxS;wt3Sp^c?rVJmyrJUXzpm&P)N|#4Q8Q=^(m^HGG(MC2Q*S$(YgBWAoRNC2jbd7)f z_nLyUpEb}YG&Fa87xD^RWYnqn(i#vL51u}KI%AZEifXQ0{@1Y_Bb(UEw5>;A=%EAB zl!n}{$(_0#W5wAoWMz)8lRyt`mh@UyqJ&A>&lF1eSq_4dQ2+q4yCA@XV;Q|K1&J>P z&Ibh`e)B|<4vno$aS0K?Cxy_#LBOv<#>_!rUunZ?Vm<2U_&`rAXtOAm?|2A1gc!Ev z_#;d|a70egu#14Y^BnGWZCb_Z+<+gWU&=-z`pN*Br^hg2m=Gw#+$qRqfRLnCE_nFy zr*W@^g03qAr{@hbT8@?a%}?9r3SxCWlhb^v5{f4?V|nmUF>s$6uHYh>G@TB;FRG_wkcCjqVn-St7S4Xz$Je#jT?Sea*Y!jA9MF$MLD$`1(U&BN8@qIdNW zu#e1a&Ex|Z?WQMB&zcFrnvMDkd=Fb9ba9!O+n01?E!edU-=8d9T8J6NXI==EUz*wT z18pOZI4B^;l+c<2fuTlMpDZXsDIXF&4a=ZO-0TuxI{O4ebp{0_KuE?%jXHHB zxJ|Zyiw^ofFNfn+Co3R7Ko;C~82|pl-a$d31a%Z)yAE2P{1Ge`)U-XVg9-MDc)8VWj5QSBgpb0H6rh7RcrkJLyZB)-))18@q+%ggIBxvW(G&{Q4+fqT62 zWP@p2bug|B5WLU^P0-@*x(}tIMs$8$O<(_J_WNEV8R>zY#M-^X1EPh+kFpyMlx~0$l`srqss1+@t9earu z6#zzjM~*SHPdFj;o&f+1Ceqp{*9^3XqErVv(>lG%kl%In6QgBNrQ8_@3SVKbtt?(Gd0cB3zCqaLERJo?Cs(bgg zxO*$b*IDNfM-+Ml2u;ak-_2=Zd&GL&@HCzn)9R-|o(6=<&;T(OEx49sm@iC=(?bn% zbI@zh0v{fJ(g$Nj7PD$d8q)k(_g*>&P6*!cY5?eivqs~W4OrXHt0ocQrvq`n=g!#? z5fWYt{qhUUau*0Sg0vo4#wFXb`RMh2S}3c8NFb3KmU{i=QHS$RF$%Hg@tuWk=g{wf zo(l2|05OQHsMRKxW(ELc3=G7by3Y;X`#Rczy6Knh^Wz>+lx+@H^dGOlg0gx2JhPvP z(0c_>wEK%|_Sfrb%J-2Gz)Hqwe?=3P4s>4tw1D&1u&f81V3>tu2POu`O~mH11&`Ms zP1{zbFH}!=2qRd#9u-9`_FNJ5gNN8IXc*;9KsZ2*56?9oIK2YXn(%tGRaw36SpV(n zKD1y_U7}mRKF7XGYOuxidVEohfRIqcn6UyG?!Oql;)n@0ARUB}K`@eG_=s!g&X52I zD@P)M)R))9{#?vfkgE9b2R8Wm++W+V3wC7eerlz{v~hS0l>EPp>?r=GaGVS96u)}KiXw5;{-x>6lc}|&?x{h80d3- zOxdk&2>Bom#+QH-)R7#$E#eI^N+-bN!lVk9I}rF3?U?N}%NBhRDeDE@8&-sd*#wBy zx+~Wheq`y|hN~?^kS&iB-SyGcWN_|?%?7@u{_``N<4ZG{p*d%F9+4fh z(S)LHIQDr=Hq0uNOW4U`cpEtGwUtlmOn~LJ1Ge8I+54DoK$5I!db!M0ni_OY-Heo#rpE*L z19ue7+z`76?%@w0NA~Ca&pWjszKsm{`-8H$0to`zA=GbP#4`;kqD( zuz`0=ZbI)4x_BhO^2oi1XFS}VGmJa{&GAks-@pzx%amZGFlKrNfM;v>tbHI$6nH_> z+YzIA6l)raSTQHO@$m^wt|62^ve&{*0r-G=fEpPU1zd^vIy#kIqM`@e_bzRR4O~yl z06Zr9d7(VuTp+kX6BuMt5q|mT8=FF;Zl0-52v3|?efp$R@hEwD{Q|H+!2G895=ym= zpmWs}i2B>(mKEJz3m${sK-Ld=v9UVW!__5k7=8CBvCkyCRXx|L9`)J`eVghP(Cy%0 ztpjW{1VcqUB@P@DE$nU%V-H3)Hcw1g>X^p92-@8pBIiYnGuaW0Gqmd%H^9+|ed_Hg`yU1qi`H?5Jglc{f4vq3GWBsv>d)SoXi?koyzn^7n zfl2MzQ&VRezAsqX1G#g0EN> zpF`_7k2nN`9+i)xfS5V=442*Q@zuCP-WbLZ{_`8q2Eu_8_Jj~L?za&ZRrEK0?@F;X zp-B4&S~F}-?_=9}K}Gvy%^l=TI+*HL|K%q@XPejnTAv?#e!Y*+hoLp&G|^hT)Q#~M zGnLmF`>qyApj#+hE1AU`_yOO7LwWR^0m?Ci&_KqK-Cqrw-_fwixT5q+4v&tusj5q* ztakCsxLqT;G%IG5Q)+}~KND(;3%HDyxgyv?uzb!z@<80Y3NEh@H5kpCf}9CNU>ubb z{6)$EJ2i|?=jPa{Q{_E9Ug+w_-#|xnE~q-~u2rL70D4*2-3Q`_3J~ys>552v zd)J{bG_1`c6#OwWSQ@XZb9r?>1&t#;%Yf7jR)9mG^R=l~GtO-+o)!G~-1qMUO?tH5 z3Eu(F*lTQH{`r#zKV{VTtx@fv#apO0Kmg+iD~fsI)GT8B!ooG><*Gx?I1<=yz2C@= zPd)7m7&I<@k%E+x1wII_+oAbE1e`Kz4yY)@1fGLvXgT(JuXb*a8MvaY?%r*-I8_Ig zlrA~m0)=gO)?T9Of>i>cqs9EoSQjMFY9Sw;ruP7a6r={vu~rzV`JxI~Zo1*4 z1mIopY13c7>L5rMi1(Mn;8skR==EAzT&IBRAa2K>4Qo&+TKI4ca8wj!&GM?J?vKG< zG`xVEfO7$21>iXb!}lzc4}5>U*`cZMF3J{2UeX1u9w7t(AVD+jZ$Y`Zj<`vufq0yx zy`a?)A9wbn#Z7-QQyGS-1B)PLtOG!ch|Mz;BpwsQ8_4AD?rua}!-#a<+`gloZymdw zAnP=yd!aVv-)t%*EnNVD1{?yJiIuerHU;|!(kci((QX$OfO67p^wfX+*jVD#xB5SK z)Rr}7#AT2KJL?^?RQ40;SkgyG;P37T1C*6rRDl5H0sC_lJS!^Htj3Xu+14J((C-k+ zR}EspG*#OIR6Xp*AER|Fav{L>KX-uNV#ds|+hwk_6cd?}KDvx`Zj;3!TKn`q6t9}1ZLnKuh?XnoEk?uepMr|` zU~&<9^}I&=Z`)-z{qreCiub0}}Y>nc^D< zS)P(>{r+Jw;--;?67P)4M(}u8a03^j;m2JD9nP|4K=+Y+jD1_5v;xg@8p$w2PgKr} z(f`LquUi5@EE}+^`0NNFzFfY<#KdHp#oiGnK2vO2_*qTBTDzjFflP?6%QDJ15S|_x zX;A&DZ7`0x^G?nUsoq6+k;q}qJAdRkh6ZQGtb$Lrf2t@z^!nWg&Bt5qwe!?k)eMEcL%i3BUKsh6A=P;iHQfa48>tjX@q9Ej6 z%xr99{r#;lo#@+7Ka!Vuvc&(?lArv;hlS7|y}pJ-^V)e2!lJIP)3x&F-Q1w|01iO@ z^&YrtY%yEuSQKB0vqSQ}u#NDKB0MxVpgCt?>hZZZ3mv|6`!TZ@a_XIWhs`m0JP4%v z9me@HNPHH%DDcM9lrYG36DWZj<=JbIp_!#(T#oXALwoj>08AYj9336~whEPpe|Mb4 zEk0loVn9h!;Wz!vxs8>aW9Y< zFq;|a1OD#yr41WYcKE65;)5W?x|*(|AWa>s@|6OE2zacpUH_*~P3{v2?}S*hu(JvF zMu)g4!9iJc(|J4oaMS$xaQ|d6jPC(W2qIuyRJ632p3?yclt8Cd593u|$IZoM>yilV z_--_g%^IY|Qi@|ijRfEhwK4|1XZe2tPuQ9OoqwcJ<(RtVT$r&vtPyVgeAU}r6TQt)IEod!}#h(cx!ML^G#kIe?+}mVg#$sN06Nn-x16;Y$U{y z++1nRD0TdVOjT;jIgD2V(=wsi8Zm$^U>Dv-;yypeVVNC44M8jYdtXXMG@5czyhONc zdVW-#3r(T!kbWf6j*T#>vq-_Ike!bBT5~gsM?shdR6Kln zqY1^@wcH5=Hs7*w>GFEl!s(ioNtoTpEKJjO=arC<5EswMY((xaY}|{PZlAy)X_AS< z{)L1QM*_F%btu|5%fvxN&$(8Oem}Vh>j7z>f+FmKND0_#o8l<_G>`X}H(JZ}VACO_ z3JG|7@`+>oQ6DCGoY5#9{X>V;H>2L4(~+#V9V!PZ`^7d126LlfD+Z)x7i)*85p=Ss2|jP0m<|1k(gMQGKC=J;7m=hwK~<2@3x>I3l=3JOl(Cgb03cuuI>%#h8LrvWm!N zlu^7vCP$tDVDm0Ed@K@&r4hOR6y>llogf!tds2g2F*DY69`=q9 zH^j6tCMp%&nd9?k#3mI#6}ocOD)r3>;&PM4n?L8Sd0MkU%7h>=Bn6=t&Z@NR1FPfS zc-?EnT(62yWUxIr(TibM&yLR^emD&g7#T_ym}@cetwCw&yT6vwQIX!U;M`(x252rY zHJ$L+V3WWk+}P5+QRny(H&B}*ZrpfTSl98)b@I4zfoVa>s z&W}A)ZO=;fXw8Nw18yq6pCy~<-_N}IOYX;rs8u4CsbO{E2SVqXSi8edQry{|LB^#a zxeE1^apX>V?tLW}S7;Y=EZ&)ShZzz@TL6Th;4s#MMhlidj+8bTL5$M{AvSsd0fzaT zyC5S8##Qx-8Ta`BdTyYaWq_(`XbkQm#KWOZ@0*4<17N_Nu+ZAwrK+-j_6+GchaiVF zh44_q4UQN|wVOAhF0nmfSVgTaR3FYAUb3HCOP~9KV(@B1Ce{X-;^d1b-FSAr4bM)O zIl=V((yj0~3QDRs!^;b#YuUfL^^KGkXCbMRUeQx)T3XZD)^lOq&hz6nos%;&Nvaxx z`aiKSs8<2m)6mq+X?8PZy_R%GootfF@DlRULbZ~5BglBIj=3FoX zLsU{)&Y6^&Y6S=bAa0ZmECwr5v9Fk;Dsr_c;{<58h=wor9Z~~W2h^C$*yPE{AZWU) zTwO;+m9Q3{m*OJ+*yzZS-L~%(BGHI%*>GkVDWD3t?Z~fF=xlr~M!9xvVuw6H8ja+J zhV@iimWwei{>LtYKV)x3?=v4_z!~-`G^&f6I#^nUsPT+EkAWzvFb#MSdksJ*R-2w} zX=%YeuRDa1M4$}dY=bKa0C0pBE#;Z|Y2ruft3vUEYype$dsl;knoTqvHu3mwk#@f3 z5vrZ2O>rB*x$(r;ufbQZ0@QK^bo9;#8hje3PTl)nrV}f3o9@Hs&&i_i;TsyyZ>HoF zxh;qp1u*w$Q8ayQK`G6bk5)@f&8szin6|fCdb$gn$;QTp#^J)xZ)fr!#l&D}y5Sa0{0(3gantd>Kz;qunEQzd70jJ4-`9KhC0_S1Xc&X^y{au*@j#uI$P>apXvJaPYdWvzRS-VZH9bgNbg| zjZM$J7SL~F?tFIS-LCdmb1`c|SG%HswQR-e0h@@>(E875tX1?@-XpuMR~w$9({Nly zbsGO?K7cds@pH1=DVGI%*V9wZ^s`e{-?Ax&%QUszcaFhOxtg2NZQrpYc>bX~B3@w| z8fv9o)M!xGxg$CGM&KdX<1Z^K)wf4zM~Q6%09jag^c3??S|y}4m7mW(J8EKT`cOX& z*c%HAi05wxnEf@fgw9ql{`t|DwVL|T!s&2l+d#f)H z{gMf7md%^dk7WDKjn3Fxe&Oen#6)gmls_wQH14IO6r&jk3?ADwWU#@JR6(5iBxXN! z9YPqrx!LKCCm}JGTw#Ajpk!pkc18UDk%KpKo}bR4J9DC9=f1;-Z%0ROHXa@uV_Uy| z7AYKV4#xaW*CB|i>{!oI>PI}t>RRqjGd#%N=a9a%vl~TK2|(GYVaPniZN`WL8JRnt z-vF#Ss;c^bk$?ph78Z7lh8vukZ9&wQ@PnF~8UbR;Np&RHNjlvF9eLwO5*;PR2L`~Q zVVC!m>G=Lgy@ehhYmH5 z{&@WL#6aOm9yH}-Cf7c$3kMoUM^|D}V?JHu6R_NZU0m9IWrwFmT;LitFquw%{ zODYcF$92CePeOZx^N$TJoS7t=#9IF|=gvKuLfw`S1PUo0fY@S7OG+0(G;{O;)xv&l z?^UhkVtiEbF{+X!zc2IF_QA-XP>7b2=D}7=DQJk5vOo+)-niMB?G-~W4D!I$@xtlrHC@Qb8fl2q zggNb<9mgp{>Tez1vwL@BRlJd3z;dzPa(1umyga@I`DCBwfUU~T7S^bzOSzoKq^$fG zfV!_q+IJhuE1XN9>vemj_eE;mqB~Xi26a0hA0J9iAt52?HjNBps|)C-$5o+@!@TRb zZ?Wthc`rE;ktw*_y~XBW{|>bF1qB6BT~<2plbAlu?#v9&PE)4Pw%Su!0^X)8;$NKz^3LgAN(fpXsB zh@qjH>D!8mxQEwRrS*S|3H5pPm|RZEug$ zAZGjnWy{Uowa`@?xS2b@`bgoj$0)c17Pd;m*5N)fsUo;c_(<-xViN;{uZXc$uUT^* z+8)x<=zb>{DX_#_f_rR_Q|hv_q(h;-xsSV%H;|f7D~fDdc;Wlw;;zSG1wBRQTkmuC zUx`@pX&14l_gzw4q$APgA+B%Kc@MZPBO?PF7yvQGH*|C?;FwEA*VU{5;G-YIO6>tu zZ*ax6k4v%hP&{Z5U~rWKGb0$&ChP)C8wjwAap*3e3| zhH?K&NxOD2r2sM)Gv-a#Z{5B<@FAbqZ4IVnLyn){tas<`22~0%($$AR=%5VVi?NWP=h z*|SqvAOO;3#cT`=$8*+%Suv=1OI6?56Gn&GiVh7F*SAv0mx2u%FfZQ7JbuKXsBG-T zx3!$#kN@Yzk;joyC%1A-N=nx0d_puNdfJ7$!|fYZP_nQK;5#S)S}{dCkf)=l!}5et z(TR<`(JWGtpPl_K5{lsqFY}!!WJ>z_PCENQSf@IaH$nrv2U<)u&X0Z$~1+Hu6~#%00N1l51Oo6TJ)U{oj*@(m6(w`L(cXNnpsBPGJ84iPX~k& zjvO!97tjb4JFf`Z+-ixF((5qjGo^Sx#xP*8rX4}~21|gb?suXF>gbpq7RKn|fx;?R zK5H<8fj2xjayT3TsC~4cs9==_d4}q-I}wz7O4{3vo*fmAtip`o`{(W=4v(Y3{D1?g zVmUk}6nhlx(Bl9NK@RlR`EEM*F%~ykik8mYTvR3CTtH-WCJdZ`v$M0v?Q5Au(7UW$ zQ@bW@RfPeQl63H<6$ni6s$&$}y*qfzo*SN9#=lVZWKZ{^Ny~ct(X(f_J@y_rdGciB z`P109ZT9L$Mp5sLDKn-y@=1r`i+1e_&BbhE@l-apE4yKJF&q-qK07qcsf1~KxcYQC zh9AU54@S3?^I}87?8L;xTtT~QB)~=OyK*tVT(N11-*j4@A2oxlFKQmC5;D8sdS)?XJ7yQmO`rleiY#x`t;j zkTVbNeh0&gdfG`nzUBIBv(PC3op0pDbIu4+_T8ldVbavV;FR^DT(0{)3h18AuWN6& z#$S)8kyZwQ)V>68%3 z0{k<>`(JV@=&!r_QjIoOn7BHUf*2&G29|f2x4xFMPtVV9XA!?bl}Cco3ovdZx}8l; zuWFb(FB@f~ti>f4MhM7sE(i5QcY6eOO14)Tu!nBPT3kp3$n*NY#r= zmYHP!D6DMk-6Nl4n?`9s*M11G2f}_HJJr8xLmp|6gNc)en_Icx9_YKdJL6$BHHw%m z5AJ=~(2IC~@FkE8r`$PU9|IhEU}4s>m5DCs5Y=&_aQG0A`_AiE3#r^Gq03%=k2E9@-il10rg!9!oK*G^SmXzm%xmaHc zpUJ!}7b=0&j8rxOBLd?Sh|tKTT#WVsU?s{E%^Xr|jtg`yM>xP+7opTj!(dSAWud~IXys`0gH^BxAv~Q z&hE9;)aXD@v(sG9Yrl+^S%e3zCA2#;AhCrc6wEmGUB}6o3jr7&Y0bb%w7VzP3J$+` zx(ZhVWij<1Mabe&*aML%veJU6OQKSQVGCV?OFell^87X;(>k|~-Fo>_Nl6Xi3(!)_ z=7v>1=lt+aBz-7Y&Vi=wg@g+xR7a;4^_feTmb)wJVtkJ@Tl>QU$@&gFOo(e#j?5OeL{r2z??oTh9WNn2`;5)7=ft+~g-u!j8yZpg#+{ zasjwEEQwUKq_p&@6DJ_;XFofk(z{HAx>Vaq?AXhd_6~Md%WJbxN$eT<2KGD7S!dw; z(B|czwo)yNRn5OF5WjdC`$SP0A{Z8E3@2ny)YU6ti%^|MPzrS>^W(>Pbz*I6lnc(U zpk3D9)@Fy%&Y(IVmleiG?%44hOl6c9fW3k#)<%#hO3wATv)Mnth;lLJS2}BJ*8ogL zQScoJN`#>yAsk_q>0TVUFTd;DGFh$SK3U`{XwQre(Jw%}u(qJufPdyO(R*tIHHtjP U+eYm>YKY%eSJ5VCDw$pSfAUjWod5s; literal 0 HcmV?d00001 diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index 72482a1c..abcc3576 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -136,12 +136,12 @@ grid(col ='grey') lines(rep(0, Lmember), lwd = 1, col = 'black') #Plotting boxplot for good members -igood = which(rmsss > 0.1) -rmsss_m_goods = RMSSS(var_exp = array(apply(nao_exp_n[igood,], MARGIN = 2, FUN = mean), dim = c(1,11)), +isel = which(rmsss > 0.1) +rmsss_m_sel = RMSSS(var_exp = array(apply(nao_exp_n[isel, ], MARGIN = 2, FUN = mean), dim = c(1,11)), var_obs = nao_obs_n, pval = F) -PlotBoxWhisker(nao_exp_n[igood,], nao_obs_n, - toptitle = sprintf('NAO index, selected-members (RMSSS=%1.2f)', rmsss_m_goods), +PlotBoxWhisker(nao_exp_n[isel, ], nao_obs_n, + toptitle = sprintf('NAO index, selected-members (RMSSS=%1.2f)', rmsss_m_sel), monini = 12, yearini = 1981, freq = 1, drawleg = F, fileout = NULL) legend(x = 4.95, y = 2.4, c('EUROSIP', 'EraInterim'), @@ -239,10 +239,10 @@ Uncertainty = 0.248. For the ensemble with the selected members, the results are: Total BS = 0.136, Reliability = 0.015, -Resolution = 0.126, +Resolution = 0.127, Uncertainty = 0.248. -As expected, the slected-members ensemble presents a clearly better Brier Score (lower value). While the uncertainty is obviously the same for the two cases, since the observations to compare with are the same, the reliability and resolution scores are better for the second case. Specially the resolution scores much better in the selected-member ensemble due to the agreement of all the members in correctly detecting positive and negative NAO events. +As expected, the selected-members ensemble presents a better Brier Score (lower value). The uncertainty is obviously the same for the two cases, since the observations to compare with are the same. As expected from the RMSSS results, the reliability is much better (lower) for the second case since the prediction probabilities are much closer to the NAO ocurrence distribution than for the all-members ensemble prediction (see right plot in the figure above). However, the resolution scores are not that different. This is due to the fact than although the selected-members ensemble has a lower RMSSS/reliability, it does not always correctly predict the ocurrence or not of the NAO event. The all-members ensemble instead, although with a higher RMSSS/reliability tends to predict better the occurrence of positive/negative NAO events (left plot). ### 6-Appendix: Forecast scores ranges -- GitLab From 48053ea7226a466ba6456e6f6057f4d7f4a356ef Mon Sep 17 00:00:00 2001 From: jpena Date: Thu, 14 Mar 2019 16:58:54 +0100 Subject: [PATCH 10/48] More edits 2 --- vignettes/RMSSSforNAOprediction.png | Bin 84060 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 vignettes/RMSSSforNAOprediction.png diff --git a/vignettes/RMSSSforNAOprediction.png b/vignettes/RMSSSforNAOprediction.png deleted file mode 100644 index e472047cdb29889b874d4b25a5882c04b6682772..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 84060 zcmdSBhdbB*`!=p3t58<5lZdqJ9hI4pq!5y1uLzliQb;l@Sw+a66(MB{S!EN-dPzq1 zxX;)7{r&vz&wU*C?+>_N$I+4fdOjbI>v3J@b)M(-e5kFdyqju26$uH+ZdH{tIwT}J zkC2dTx1rdMudF{gGLHW!9aZ$5Nl0iu6aQ_ibx6BTLc&F&dPYIl{RN@l?FvKfmi!;d z5|@C}3TMw$?+ofXvFB00Wz~RSWw_&_-tsg4=-eo3vvpk-5Q^MZO)naLJ(REOIo`bB`i4^bu&+C-tjhgKLd_wY6 zjx^~%pPX`~P~7%EpWGqP1rV?NpI0|G1=)W-&Oc2@yvKiD*8{m2{_}AijROCFJ`Q8| z)BexLT+;vVzX7$`C6Y}owSQjss2KbD`?IpLw&=~b4armSu@Uc-|B^(g=jy`5)c2f= z0#PwBF*@lY!h#B~SVox0H_Dt#Z+!}&q%yL#vx^nA5%X9Wmv;O8AciY`u&L?Mh{WuR zA3uH!KdXJjTH74)?3tw7@4lWQo6`61JJT=JHa0fa)YN?b{OV$cp8w9>&*gnLBlxsL z?1J+etaWsC3vV<%|M>9~A0MBfprD1tn5^ewqzm`Vc2-ta4;eN&udc4n!;g;|l~noI zeXYb#wX84?jP@y|&!1tlD1}%5igZw=wDH=KCddI<9H zoX&MLi|V|F`0=}EJMck&Yj}pHcw1f4>A(=9xViD+>R`g%$Y;;22>T}zb<%s@I<$Ou z{qgDEg7*u@T}P;YHjLChwrGj(f9GVDqGM%eXY@+x5$ZQizHXRfoH*RpowwQ9FkMnSzVEiK>mIiu8yY`$mj7qzyOobSlgcmAGj zBoOr`nYA}rmA)h_Ue+_Z@SVuBXU}YZ`Y!(n%-5gs)ogk$I$=z;d$*{bsF=gR7awD- zc$vfgQNvuVXZ~bP8NEB5#HZ!vwnQM zWU2NR+f@sTTYkM0$H&W?qF-=BN^oR&IN!csYF4%PUG?rg?CeGrKHfzc!otFaB`)a! zozq=;pR23SPM@6W%t)OOe|siHZjB)9qZ4sRBPb~7psj?Tc1fIslb?}a&uuZ=E-vFs z{Ux`mo!dMWqtrUHjihC#=olCxqoU5n*k@c5M8uZQ4PV(!aJ$n53@uNpI%g-`0F=;+Kc{WKqO{lHH z*EjBbZa@I3p`oGA=3cU-YuBzV{}o^eYK%EHW%7spAcf){#Y37e(p;PI&F5lv0-ImA z*5|dRqv{(QSx;Vn@NK?nOWd|A_rr$|d+m<+Y5!#L)0R-F8YtrG2xdOU#>Te%$f(>) zQaU|ZfnV{#`}ZqZhHty>rR`QkdQrX-@#&MIw6yf>7eB6!uSuu>=CoKOcpsu@+V}R| z_4@jH4i1icl5-r@}-T1C-SabI6w zPEJl|XJ=OqeCSGPEx*rcTwGN2;`ED!cx}g64T`+tV*78I-O8Na3=9mTzkVHhD&@WE zQbIfd2LuFyg#LD3GKrIP{)Hp5SDr88K3AmXRu-48o*vW2iOpZJ4qd7eKk8gQ-970# zTDNEV65sCqB6aokPt48>L0Y_=qUUy`S_%?kkIj8{Y1hbz z;rn!?6*4k1a;xL7qJ<3ecS~nxWpT=SB#&)RkoByQ8!gDqwd^Uh8Z7tjE;zt_eX=9{ ze#}dwk+>HxkYLnHre|E}8v6RKOv~V`q#Korm9}@+CG>pOWm}bX|C87wIU)O_@4a*P z(%QnrXCEJ2IZlW3&6_WUb~l=?jIjODhHQGf;UyZ>T6B#%l#*!0O6a!itB% z<;x#D{szSb(1)JmW8)_#0Apk01>u`+ZnV_YvB)0StSX;(^S_!R%+4!^vYGOAW*NG* zC9C4(Sa+oDSt}n3Js>PRU+GVd@3P2xh}i9@7PO+9Oz_=IGIy%^rpOj>Ab^ydJb1)^ zl|1Q2OT3WrA?~Vg-}KZoRGn_#k-9bMg&Z7n)F|lDqcWF?wjf5q$<7SErxxEb^;aDT z_jj|Fd)kaO$E`ApkPcIODAG}pKkSlb3@Gtl6YJNR)hghk;2mH@;>pc*tPN%NOHC$p zzI)BpvAMBErfyi~QAFIBj*?qbU8;I|dX3RS>gwtvslUd?I3;f;Ys88XWJGPgCCeYJ z5jxt9V<&WEb8DZ|=Rn%jjh@YwG0vXm2a%)Ogks5BzJFipF0fc%tFEq2N=kAGfBRP4 z(AO%3L*C~cj|-}e;KVN;iWH8rj8UTx?oTwY4dz_TVDc8C*zno-`+a?_^UXywf0~8( zu#FEQ&|0Yi4HB!YHHha^9=6 zwVapIb*dX0-l#NW&R995mG?i;&d;W^CU}vPP*>Ez<`SwQeJUKv0ZOR z^j`T}2`9~imidYj6R*~Uu=q)K7WWFs)0upw|2I3Qb1`V_eWT5fRTFsnMwsF(^4Np8 zd4#>oUeauI7Ct!fW7%ML%Z+zscG3CIN;;4GZkCqJ=P4&%+gX) zK^2TO0vXZKnc|2W#<*$ZXcUugA{Ny_j7!tKe3$c=Ux#}0drWp57AhLvSf6ise*Z2l z71dsG_H$}#ZQ&I)4Gq?neq_T%SKi;e=Uv=_urVmIjvBi0II9hZ)pKE-`)C({hsI$e zGW))Fl}s`>M;|QzZp5!4H-67Cxg-!Ze9L>GRe4zM5O2?|6k~D)y2+f1O`YC^_26UW z+MYZ{FB@3hpH2@}Bs3rK+4QH^OiyrhU-i8RB-b4rkISWEs=i>Wv6l(i`3M1C~v1Ea)Z)-30_&KCSrc&K52+14ee~ z17)5CDTNl1TcZ(LUC+pO?Moc1v8Hrh7;hc<{C1h7@9)%i<&b?pe*QGKvzs0nX)p71 z6MF0`5h}>fe;H^7@GT=FIXN>iCO#{Zor2!O)RK~tHs3NQ+ES>u=;}H%%EyO6R5gwRw%Wv{H0XzK)296ao*2hKAzE+`W6(pPZJ4mXBCIH z&7%~;AJwq$W|(F8^XIGFBct^Z0#TFSO?>UT^LZ=EHa9m1eb($eJf!5e=Eqw2G@e(< zUs(9_$MSo2Kk}NWY!H9zjfV5|PIPb5(kziIgbWHDU0sU{3T(b6R%YrKShCW6e(N_P zQOvt%t3BfB)8&cOgl}o*dAPXl#9ipQbUF*@X|=RFMV)ze7wXHeFV8+VuK;zmtJ>1N z(MeHTU^>RnuaZj#Wa6XK5-;1${%L0tso>r-QfbIhc?Hwm1*tejA&+KJ*Df8uwXyn_ zFj***oJ`uXvT!b(D~rKl>RVQ!t?KCk3dQu=(3)%Ll+xY4j3xML=9F|r-z3O(YRPXT zFUC6p+%9M!G8C30fR9!p-dc)=T+|ct_S1g&@ZqpD|A|U}jY^HUq2zR7DK3iR!7Hn) z`LTLvdl(p!3&Qm&GL3YVq*HY5uQ3$GU( zYI-3V5qF`5i-GlO7WM(DoVBAkH`je*wJ1^L=FO9_6|Vp-dpw;jZrsqzy!@ou;l_>E zVpUC8Q0+|>oYg{FfrqBOM837G>ck?(JX*dF>=Rn{yN{>^xMJw z!9)|^ji|UJGZr?hQ*S3Q*_b+x@zPc=qPAt%H3w--(7tu7L+PW!E1V# zt(KRUH&32-yQp=?Rq~@>Pke0JeMQV4Y%BHpDNrwR$13fzn z(+z)Zzw9Q0@ID2)pk^y`^Xi)G5#izEw(2oQI~fA5nX#PtyzeVpZQ1Sl8#MmKUryRP z)$bR#KX*y$=BP?#2T)jUk(4XpX)~G6Y&EmXCd$mD{%)%jcbxtOj;7k$)H6m5djfPu zR{u^B^pzYh=aN?u1N2z?6m2i_5{irU45gWwS$E?#PR@kgtYVf_*?;!d(1^Dujn_pZ@P6`9F^ziw_GH22Qvww#WQEFmZQ~8*WI>ln{7IZCC;Ab+-SY6 zX95+Yzz6qPzv#W<=h6({+5@@({l|O=hk#jl%2vUQOmE1S_yJ~ z2hRu@7K>c}2QhSKu9S&*E&m~c>CWTA!e+g@RntCj2kI**Y-9I2)5rYyGo|uXWgce-)6vJhYdW;XGxsyb#MZ-MH8p~_U+q*%dHn)pZl>Hmk|7bBf*jFtzEB}>-`qFwR09l zWV72fmJ+sm>`VgEdd0h2zSrPIOjuar#L*bK15Xb=ICe%!Dc|IFQP(ULc%`8}BHgj+ zUFkmQ@tb}+`iTC^GW!5J5E}~Llfvy8v>H=+?Cu^ue7I0F@DL3R4Z6_Lu>_gh`Je%Y zUWua-78mCfwT`?Sbz+pORr8PF>!0bS!0?3WX;BTvkhlY;!avgY3 z^K~I@uq^ABXTpIRXO&MMZ!6z#@KyN&)jdBkCbNlufRF8ggDE=oN-?AgY4Tg^5u2XB z`y{0d&zvFk-olxA?x%g?#0lG1e}Pq_($?NM1*_|odE6?|nI-!Iq}~14YUy{s6my;N zncdg|ad9_b%18S}^NWg#3JT`u=VRr(OO{P@3w3l6B9^ltem2Cn;%LwkKVLTl&mnLr z`%ANShMrKRk435vz&bLN^j1$#&+|j&1lg`o6>x(6U-o_h^$11)q?bxwn zV(lcm%3jTr*#7G=EPMAV=4?M^RB~{|4>LfVOH~%H%()a+>eW))(Le!amHop+oR@mEjl6~ zBgm`^TSTc<*D(9}`;(=R?nyxozGzX@owK8Lf5UYI$V-r=z@$eXsDTcn;t-{b@7kk? zP3r^5D|&KdaV`GIlS(B{2CB0aJ{!N9V#QqvmlaOEm~PluUvVx@a*7hTm|swUs^j3g zsWb5)COrJp=5dgSpdP*F>iKX*bfj)OX*q0%l&n@<4j$9~D*430ucy?_LE&dCFkXCT z(O5wE6_$GPhnmACClnu`G0HM161g>1TwJUt9d+ndbn&yB9cSnQUIMl0ytOx~j78ZX zw4bc!Wbzcd8fz5smV2L-$!?*xwl+(d6m%)pW34O!4Gj$?s3b#FuJz%(1Q|arT{X3! z9?4XVSS4|xW5={E&;^aWJAC1FZU)ZWOi$5NTZ(#1f_zSkyC|B>-QFP@6wjpHvah~L zw3$Z2zI8NAgIyYl4#j2f9#2ot%JTwQ41YJ42HU&!a*VUKepO5<@K2YxOdR;l`la~~ z`gVDr^{1Qa?Ud~Sj+|b9wk^#h?(oz~(@Ec49-$T5=m5chlCcgd@?mW8{*25+27cPM zW}4{SoTlQ#!sw*@V`7-SP5$t7ygW-S8(6ECu8XyPNk;bQ{6zuAwIis@jO%NIUh})B zeUI+juKLv|y1eCegk|5myu|&)FULuFEjzBtdCKI@IJ3pX#x@q)e;o_qp&+5u`Iz5C zy1u^N)yT8R!{bodV0Fl!cKq`XlmW`;G6koZ zD14R?w`?pd^$yEu2db0E#mYY}P8{0O{1f@~X({;?`F!^LZ^kNe*ZrD zd!D}%Wv{y^ciZ^z@HMgiq(_f-Pj?-?{Yu1Js*TBg>9m z&?>5Cgm4qX^=k{-hZR14D=RC2b;fgX!WJ}JrYWyq=ga2@tW2u*5)lZE;>8@}IJroV zmARCw%fgE~3Uf*P60A6Fn(;EXkvJ}8U-@zDN3yqQ;nmMeV2UqEKSqXsoM%=`b<~O! zy~_&a^7yOA5I(l`qZ&CNGTuNHvQ24oPwUKa+spsKn$y`P_l2&La8iTCio z%gqflYMlGoNEQsv!uGoU^eg*qi=VWpsi}hjX;>}?l{o&`9;a-VN~Zz3sjjgxnA20` zPTbghi~OZ@-9q1EvUe=cc>^oF_~of+tf|>N=({EBG+c!a+w#r1pAAu+G@jQp^RFRr z37r)^3`u?}RcIepmdNB4S07)m97v;Yb==WcA*_)*ZAm&eH}~@8OP{rAaT600DS1!d zef##Q3^G5yyPuhP>9e6>v2D^!L9M_0t1eDq?`#gzZCsU|GQGjZVGoDUgV-v_ksP%9 z9%aui(P|#O9DVG>i6?PCe)pG#3m#iJPJiUMoSZQ+<)-N9@x_^RBB!@485UYrR_N>M zRxK_idCxY?oodr}78`3#P4E%mH^!Ic;!`X_+N8*DZZ$WY>8PgeD(2(#SvE~S7G#&D zM3D|WVQD%3^n_Uzd3f|8*8Aj1*f7QnS*^Mx3x#U}6Hn>bh>_>zm_)^HW2f<7^+maqMm zE)mht->=RP@W!NKGyOtp)q9^R1%3~sACr>}EhgI9r=*Xbi<63K-ybk+^v==rhy}FlQo4T* zKD8@8oW%f%>a0bYQE73rnhu5H1ect5!3Dq;=TNKHjgS9EJb$icF_du2rh@N!N=gbK zsP)R+PiSfksoiGM-O&m8GC~SzP&>Y=TIckWxgC1$6Hw(XE@C>vzezp^DPe#a=P z`QC)PWa1pa_Aev42E>OKE7)q${}h-{EXg7*Ygir#y)*XfSAGSxpS`G`=51Z8M-OTr z_89I_+`fG~dPzuL=^sAG6rJ7G&0mxdI!cy5kwI3=>VWpsq^$Z^OWWRmOEqPzw9cJS z=L5@(^t(C*-sv&3ogK~_+tvL=C+Fev28!40fMMP>GHKcb?fS6OPh?pO9R`g*C{dd1 zo`z7O!ki)|D0yivS{s_9?G3|t35v7xXT#p|*)0+pOwy)yDb50J0ZCQ3&klohDu}DT zeER;b)()qnkYIIcMMegO+?iljsdQZdSGR|~QV%FU5sB`XW@m1gn}eMQj#H!0P#3KJ z7QwNlsi`R?sQT=Q+fxZGM?Jl7)xpfMVs>g{&!ld>;X3hjUs=h|V{SzGbt^-gzso6j z;Rk`xht3Vi;LMpb2YGqzdI}%z_S0niShn#WF96UOTXg4P9v=Vl8?VHk4>0tlY1?M_ zOp`L-_Gtd%)Q7ehr27e%@vneOgQadc@7`VZ)OT&~2yL28;IaE&uVJTt9xU$aDq^2E z>+$Pnf91bWa6`;lr-m>ilzw7DM&idl<7k!DHzn`hxe&UZFpbd%aLW6AERx+jYFU;$oUMx4e8pGnc!) zZi*VCf&-7@gVNG9Fx4H|ntsrHC^Tsh)YQyJZ2{*2U(lPDT&t$43^X57dZ=p5)vKp@ zJdw%)s9}EaT8m1GG0SP1y_AIs=l@C$Mt=*mbl0fr_|5NnPD`;4*->S}j;yyeD*R99 z*U*jIZ38creL<+=R0|3Sw8`~)&Xg&e%=f?O=4)8pwfo$&*jREhG7U5-Adx|*df^Al zz1I{^pYFao_$|wj?6g;O#IQ#`Xc1qUuEjGD>tq)9o=@ndUo0J(nksdf(0Tr#y}9`} zSUuAbjVDi@+>d<8Kt(3o*4EzMJ>%zUt@Ow{25f(kZTC$m@(YrNxK~}>$R2gyAfKu5 z@Nf=j5HpmlB9@7Vk5}@kCT)Sf(EfTSn(mspxhS|jKfmoge(Wdg7-x@Hp z86FxsHQ!0;aelUIR$7(v6^V7;dk03Ud+w~A+4i^-yptK9s8w4sc=gK4%EiS+(BsT8 z=+2tp9WW`7T-hv5o|bygd+1R9bo_Yig6N>rD=$4`>KBfMk)1a`J^6EyH(=Mk<9CXm z$s=IHxKDR+>7sF%uvr0PFG`d}7bA8_`>`9`lp#ZMDzzbFF(U(4sI3^P9-rn$v3VR;Fz z>Fg!y?N2RjJuiEI@Yyi<)0}Ji8M&)kt_5Nk7&D>PYekN?Zpk|T`hxFNC8z+o{D6YP zDJNsz5J{9ax^nMwo@n^rU?h0S}SW5!!?%gTfeqP?*yKk$FPEPIz*xkGLBzj!LUHjA)*zxBYyjGdRQG%C# zZT34UXhFSC&f}YY{PRI}pqEUF4htt|OT}*}pI3L8yScf+M5fOfp=FmD=bzYyw4 zt9X5+oN$@Vei6&7rltx!<>=b!L#_#a1q+LoVpHx1dVP`K8NB1jbJ(0G5fPuaq~X*6 za7>H4Ko_NT?i`5R*XJ9ot)HYt1O}3OyMU1AiC6f;rZY`@`XPmV0Fm#fdHtGF+VLWK zK_(%CGlt;I%M9)I;F>)AZg6UCxT*Hux)~fAx;Q^?Hh6nuRn&8)>G6q6i&3c+>5$~m z7q)FTl=zV*l<_lw=SPMb#RQmLXw-w7D}R1`#`Y3Jnorce@2OGTKh1?;l$yucM)@dn zCpJC_-#IlmdXPb9v|Na{ckrIM^Fo?;o1s83j_odLYO}SeJ&I_aOSL*^CUgwC7Oxr9 zP?HyxqdP^u`1SMW9!1ybo|FweYpAb&ZiV9eh^Zc;!U}6E;vzQ!b_W^XO)sGx8DnE( z1x6|q+K4Ru>zo&~)EC3_G_{@=JOPRef9j)_mcSQF-7#jmz;`p8*p z!#L`JQN!}OGDhAFYfF>;YsYoizJCo=OmcK~p6Y!&gVbF6m{V);J9r&_hMBUZ0ZaR&f=tkzww05U!!@O7u|uIA{BU~&ib&sZkGKXkMD|pzgt?q* zp-eIjkwSTm(Yz;emE*m`ES5v(3=T7SCQnqH9+>#;{`_fdY{3}wY`eiWGz~q}zpzv> z$4q{i*sL@hW}qt8m?7%7f&0&%ek`*Y*v)U=>F|)FYa(YYuHEoc9FjK!;ue-?&BQjd3m6{;oW)sn_-yER z+4uVOgJpN-=jPg2whNQ4HS*e2$VZG$PdA0mt8kVCIkD9)R<|qL+7bYzm%qbvf$M!8 zfexWs$)_4}dDB3l8=>pG=V{#)3WFoq{|hpYd&D1(-;wcHuzaHDw{4r*wQE(LzzieM zI-?ieP3X&8mQfj@&Eh*gu-<@A&6B-C!A(g?=@rekLtO3L-1hF${I0Icv*Ea~{DFq1 zrcR4XD#T2s3hCI@=J@qGI`7FN3hBNNQXXi`D^q&3&F+5Ha8*!k0VOfZPPNyOl48{} zD3F=qmBwFA8F$C2Z$ch#5IrS027?X=P)&7bv&s?U%^nzXaNHR^%%p|B<(MRt%Xuzl z4taSl67&~M#HL;zvZX&*)OxO1h{F5Dp)7`A4l4jFzY#rZ(xi@|Ov`i|zR`StjqEZrOFTn`sx%3;|Lz~-kQJb2CD-d1wi*>8rxN*bMl7B7o zDpAsLe~Ivj`IZ|^l+{BE8^$P-w{Eg6RWqBAeki(LzxO~8SMGNfux3|EU9)-^^A6v| z+I8vr;!q8GFBvTw+Fom%J4cKhKFt?Hfv1MIWWAP;mu3(fL2}Z7{`<8Q{j5f#aY^litqx`2R&7CHmeCaZ}`SV{BG7~T={rG z6DR^#u6W?Pw%}v{_NZO^uSMjhJ$UdS_ig#|F!l3BqQGK1Sfk*-lV!6vi7d80jUhJh zgEW+w*Dds~S;g)900)z)Em*a@;Wr>86Kz@v@+N)JLGq(eD4WYAQ3}JeOBnJtR38H| z{hhq%`bI6KEmHFxg3Wfze1CYmGNf;~4=e>q#FlD-Aj$NzQ|en<5ZV6dWz1$bx*N#QLHCz{`+(IwOglmFM_z3f^&Yqn8;M6e&uD zZ|zL#x^qcMsRp^Bvsq7Dn<(C|<`fl)R+NEAW9jwhMr$6n9?U-1I5>#N`bcnZ08aB` zqk$2`EJp^LW2$mkfR8Uwj#H?crd2-hz13CnjJ;!&zX0$T4fKu+h?OplYnymIH;gVV zm1eKjp1yh!9QrV87RZmcaJK<4Kb-6E$;A`tDJi`2##ot@a*}Hw`{VCv=U;vO z`c=%XhhirK5=_EqOPny_xEbe#2js;=j-Q_V2;iB{XlSgfqjURW1-{N*=q8&=n{|9l z4BvRt7uvYq^b34Ww9<iPJS1__eVo`WWT-7L9zB+>nOCkuxi-i3AoVv)2<=%@J{>4*ILRw+pUaQjbW)B zH`Tv#NKwN4nD;$GK|z6*LuP2o_s@{RqK9F+Zrcy$l&F`M zfx8q{Ai8yOs9STxmlV69eq2S!^W0a@Paz?@T-P-hzmAGLe#!w-GyY0ptkf+5!`<-V zo$;ibL?kWi`&P+_av)Km~3ts6Rjc<4noAk6s2bZlgoeLiK- z2^IzPhBP|$FBQ_@VO(6%fb%K3lPEbG)jg!=8&B@*>kFr0>_IT?-TmOGGTj?A%Ijg> zjg5k^6;GS*T=TBDJ%6awn4CNijtL?C{Oj;b5jlg8C8(AQYqubW_*|xqPe?F1fBwmk z+j}g9-`y|W^S40^Ep!{f0Y*3p6s`=x3e*O)67FP4b_M{M@+8I7cMfoPolv*Ji7Is5K|+v7lXg zx{I?N<)k=azq!5r@1H**dWb3%+bTXtN%;wI(QtYe=4?TaQr|7PQr7OsKOeA4R2=7| zBqfP@cuL`m05aN}6x?VTm{K!;uEp%T97Oaze`SHjW>HidZa_3b6ubSMn^OZT712fO zU-pV=^wU*&K8>XSwptjIV(rE=qBAn4Y96t6bBc{bUsU%bY9dGgL?X%nia{^LB3}M$ zSLukhz2T~d&%ce2kH0gkrE%SaVM(Fjkg>LQ*wAwVoE#R^Xm78yKh@68&h|4={#`*A zATW^~Ax%+qqiMgw6yE?kOSp5$q?41Q#Qz+B#q<1P=H>HOSYVJoCU|Hiqrs^U{zuZ3 zF1>w6Bxw%Ti_*fuVzOh8BBUc&j8s;0hCS_xc{${{f=+`iQieI^CP(;9-fQ zf`Y-`bWQnh-);?VZKf8??cAA!0ytq_He_{N8-a)$hKQ;OP02I;yi?(@5Fdyv z+e-etYbaI>Z0c=lvt6|Tesr-IAxY<}qy9LsX60exnC1K96Pc81qbzr=6C6R19FdoO z&{?3%x(;Y+YI;8J+F7{rVRg6fFAukztbJ*?Lbf+*(ZdBots}s!g_%39X)y! zC43FsI=qn=1v=3U_EvPldaY0y5)uNKD8-OKqkx^@)!@>fKaN68niyoMadlwm z6Lg(uyQk?fH%i&7*zoOJ^zLu!6nL+tp~@Y_uM!N9PJyNF+y0L?VO_5EW&{%(n-`QX zg*{Pfe_NF~DSut}*A5pnt5bM+?;J`x! zq9UdhJ=UC}AfwgP)y<}6;EvoJvZhjmabHpUw%pHR_rM3Sj5rTkPme21U$D?Sb&ABZ z)lf4?or#^jNiOIHpibtM_c~Y3tf@*M#vA#2K^ryI*Y7!Y!GOq4_ZYYI_8PWC3x04r zim@kcaK%AhUS7-d4k{`S@-lYJu(?`RfY#VoD)suI9INGEd0F0+jt}vIw6vIaZEqr% z07unDJq7eQ_2Gp%Pwtt1Gm_8|L=L1taSZ<;s7p#q=l8VW10M{(tS!wjFLiZBcoB_+ zaHgXN9)Kvz%*ZFr85R^?Xz?RgoK1pg8*~) zFfm~-cwK#oOqX3aTAxD?VtrSB#@Ncj=AyBqstrYj_z?(Z@3qBSQ{Qg6xD*x@!3Ags zCmu|DD@P7mPrN@LxyTh6KsFZ?9L#gzzZ!B9;`6Akd8y+P_a>r zrUCeriHWJXxfv8WJhwy>-~kh)O``q-W}sWv8SDfqF|T?w>CT-}Qc^t_qDj9n2D9eZ z_=9=LoY8U${PBf3_YIDjlqYMXLbN^-uK>$ft&`tkvTZqqhC&(~39cEq&+hijMJ@(t zb54kD@70C$iy6_d#9_Py^H`WXa&-K|Y~tkvF?U*iH@X82SJy>c=C?dEWd{cbEG8;F z_zSHU66f2MbLJ0b>ZF60A^M15Bm+AHhB*mTAL@F~XN$dR(|zwFzKy~fd8}1W@SP63 z4o0IYNS}i#nF+j?-s0VtE;PRCw@IgqrXt*)$~NcMK!+IGj6Mbw%hq1zxy8{2Gl=2Dm{_-hb@ z=O~;U9o;wAC1Z#6_=NilNJ#G70Ms1zyvM-ENHo{hWYav2tg5O?cYq*ij}!pjb3GXq z7GzBuMWjypE*cs!V+{=^b_=QF$8*uj)MV{CB}u&OxtTqTB#AGUhl7tTGqcs=z}LTv z+IHbDp<7t0;|o+tHHN!zw{0WYS2r-=gFn4KmEf~_SXQ?G-QR5&+90aI>%2MxTlb3> zFJM#qLQA3Hy9sRy?RTMt0U0Hjhqn%c%@qidqN}95cifl~Xi+=v*JM+WP{5+yp1q0z zE(pzH_TC>4!r65$MQ4v98#{Y-H^;3{KN(2wB<>Bu zbxlnd`57=>VLkBSeZW1g{~qSl{C{z1)54TM6}cyL1k4<`un1Usbah8jN5{vBlZE#b zO$l%QGspT=jvg~UCAVy_9k6ng!O)F~K++4-)6>}ILGUg<=nG-=oD7RG!McB3;8}t>CyiDZ~vKq9qPaSTp>he{%1D!W8|}|L|wnLrR5km_g%W-kr82Zg0P5_ zlai)sY%#F2v+voH2RMmXS5!e{IrNwO93Qv5%FZFb_X+YMt3#0u&^)J^fcxp zLyYzuXUI;(7aKy(XD6OJ&ews!UZKD+pTC%WUz&FyGyylvBM>Je;SmRGKQc1%9b+FD zYuGVGM^8V$JUfCG)aF?&{B3lYFuguha*7^E2i-)JnmHlp=@E>Fpy6t#z8=E~AqkGS zn(TXrKXXJ!DJJ1cj_~vI``>!RE-fY`v|E9nKCy+7I3yfN_3DZO?sxLB{3cg`ZkE9< zTmpW5l>tBvTQY#T8Xg{=B|^8EJ6#an@We!Sj)}aGFi!iKByD$3PuB9I+EZ|3fUfHA z@9$zfp$}(E`lXzBNFjNG*Ybh&0Q_vAaGG7J62XLoNvW$4KYtzZC*h!h3o|}!{ zGOE%b(RTcU9~SS9j%lPIKm9I6S)4bzHaGxfd9-EjDYoKNBT*w{>h+3zFxVELGrG9n?slPUIbpRa-QaF>#&6@`Tu3K2d_{4Q6tnGRK{@uHMrBsJB z({=abzwDbo8)~xs4#T_%gVssnd&8Q5DS$kiZ6tp0|fxQv8jo;hTR|u05TpKQAfai zpnYQ_XHWwj5?Y#nmXCxak?lk!S4UT#*~%4lm@uvYRl1ZcYU;HzT&UMwVf7YPbRuaVyXawYA3yKwZ zDUc`7Hi7=pT;fG_?|`VNC}cNyIe@WcFr9e*{2mimoEi)!@W*-_;EU`FqgS(k@UmgI z_w4n1FSKu-{x^@(9k1kK;J)7a@+|mkqDhX^2qq}BJ-0JRsZA3=4h8EyQ^nm(h9)D3Ip{lJRw_!90O* z?7#4@1J@9BH{>^#l*55K=|>u$ewVImZ*RvTB?fjKC9gOZmGR$qB3|gJkCFb`#0K#W z@kL^G=?umHzJ&Kl$KwC{uC~AKW}lJgM$aQH-Anv?*v0=z9qO8zN){*dp&=vQUx$pm zOHMv$_We^Nret3yC+{m|y1F{xyX9SNh;f$Af(~p87O@-DAIhqMzCMo2^2!Rh#9y$> zvDMZanBrKwVF*^q|9>wqal`cfy#>FMbj-|{v6oz(K{C9>bbEEd3M&G)Xg&-fzVHyE zEMo=|vgdmY&$+w1!_pxIFC}1;q)nC~I65RxOkta#*Z@>IILx4|CrCOgeR>HUzI^3Z zEWQs|g6`!{u$0F_+M*7O3`lqIGh-+dqjokJy+c&YzM{p665jaj?g8~Bh1M2`$Y7_< z8BKm-O#BmLxMab9Ls@}^?o6EP%)kaLoj4^{&$j?&(S4uO(BKVt`s`T|ia%-@W^~~A zDZ?Rz{zAcxR@0{abrX^+nuMR(6$ZGg71;f{^o)=Z@gfq)ppqd|{H?eHz0wdMM^iJ@ z{XDuNXb2{N-PI{rCvlhn&>gL6UjOHXRe^y8Xf)ZLSk4R-%WjR?|y5on9>7{?ilo9Z3>V^)prO^-@n$lMwRNdPnVo@%)NQ zgO>L>LJ=fMH@9Q*e@~QsM~qHwD{}6GqN0D1b)Nrv z{OFP0V7V;k-TlX}e#Ee&R-60W?{O-!*5fGRJn-1@HKp5C*0P}ERr3x8Lb)&?{ zZNFG>qX`4Y(5HVzXvzI>eh8LfA&}GOtMhr{c*Du-6r6V_zh(7e#{fgwnV4#hS;Mjf zFC}wK5BU9eP9tz1B8{Ftefko3Hs8&4%q8qqMC$ce`W+V?t!KbWO+qrmHUHjuY=0@u zPem7(1q|q~eE0Yrfw`dtxEt2g1wEZyjR^hY!Ckb`$B&{*) zoD}>Ut*s|On!F&c8PUW9Rp_6!lma~O?=QnzRvAl6N+M+*k&`R`=f?&seC36OFQn^6 zSC)WJL@Ur#`(a3a8j*`P;1sb8lM}}Kcq3T_gn@DoxPRZixA+m=C#NewPSwKTCxA<8 ztE%V}Uuz|lyG|QaZhNK84^Q7|MMc-&eb1genFVry@OPV7s?YQ0<1MiIdlhj|I9XV_ zfwa(Cc|(bWMPmRR8E8o?2bfEE^b3#iiHa6MPKM(M6b$qmtjIKQ@gOz@Iu*t6f<4B2-Co-M z0c>s@IV}g`pq5xDBQ9RPoR&hCcSK@HB6I|u`K6$>>oB9D#L%W9#81b08Qz&F|>wKpz&_RDvR8^1=PQ*wl7? zb_vHspa_p<8LPH~n+?+~@>?)3jwx4XX(uTvDcyI!;gQ13#&+e(l}z)z!r(zXI^%#j z>#lZ)7K#s^J;T9mA&tPp4_1P_m-^kLVhX%gZurrOc5){pjbj}8x*?eks7v*9X=q-c1dcFHBfXLiR3CB+5oufyh@yB>_vZhGpLi3#?>a>T8COM3?LYv+ z>uF22EJ!_{aQBc8AUDu-?Nx-F4VTrK55K%rf)Uc$TZj0_uaB@mac)U+5_$~<^X z_i*-hyJRS8?zeLO@+Lf2A^NpV(!zqvW;NzkR+xdruYYfL>Vvlseg|Jd*NGQG+ei`% zxhTvC??iiG&NvlqT~i&jMim19U>3s zoyT+#(y2GAA>gkt!yf^3zBoHeNkKtDNjU*J3HMm`;RCWyHH%r*DH4+7yjauS|94O{ zN)O#doDVXgL~s7X#kvvYhF3ZlF03%$blIb!rRDpI+`Fd&E>R3kQU2;kMpj%8MjQBG z?Kj8-0y4$A&HjLw8qB^JqJ=@Fwz@j+ECf=qs~_*+(|NlFY-zFrU4!MnnC>6c^j}bv zi?fHB=s_f`0l>z?3B^5%;`^9W{`Jh*&!4l$mI>!mGH|+%deG@!6zWkjZoeRcVeid* z&6`f(yx{W|Bawg` zCmaOeBi?6Dca1iP^HCF2z}J~?4wHGiD~%{@XJKJkrIe|?>0!bb7xO)FPbK4Jc|PWXFc&QJjx$i z=t)Ra@F$V^|Q|!E!f1M8qgU7{NZx(+H z-3;iciwS1SSiBb;2M!!?IT}>_Bz1$F%<^iCQfOhCPD%q{6ABgYxbz?r5=?O4-dqgc ziYdOFJTgvXPLX;2Qt&LMX-r!k48ZeC(28r1^?+~aQ2hVjbNU`;tx~{sH1eCbfby1^ z0byHH3D|iM>F7ZUuqi4T$s!AauhJR0cWbuZdE$!4G~iK2bzi=OgoX}aq6vTt79kYP z^^J{*M0a9)azq$Yi_>lBYU(RM9o&_(AtxcBYj2HQs;K+J^vOIT@Sa24t~n=6-eQ1+ z?Pc13XZ2CE`_8a{D5^m4=&Dl6glhT6Yz+IH1wAwXZws23_A-EEU zO}-{AHSByuepXpI;}I$3_&>)$dZlh%Yieqm!eLC+WM6DT*`!lMX(v+WZWyilRPl9T z*W=CKJpEWIl^cEv{5``4`S~o~VuFI|N!ncE@4f!*MW4i8kwc>8VelkA=sgIsj{v9>5C$@$eb7nnE(7-{vI5Z}a%>)7Tc;Me2`;Jr zT&^@nldOL8e?j^G3faUCC$_h@rt~)df|?O&`i6R6eyauX)*LU}Siu62=_cNb;*Ys8 z(Ws`z##eb+Fyl;p*)l3Y+rxz6779tH;WGvX&#z9xe!611iQMqY`TW_lXTfF?xh+33 z>Z%Jkb1N3vXtZBDh}nD#@r^9S1CpE!`5?VacX1@Kv;nX zO>7=!;!eh}+s|ClyE^F|a||@Q#wI4L(Cz@}ocuqVYwgLSSKj>@t*2L1L8ny6W<+)G z8Y&!&*arh_`%8)tPyuv!@&s{g9FaCGVUJcC4ohejPq+%&aNywDuY0?cuAAP5Nc)@K z2`Ic^b;iNmJf)?re0{DF7sbrLa1IY`Ko{jwRRVdqd@U&}YZ}nI>i~!aAj1GUJo5}R z|7H_{7E*&T&@2omP&&*%EBWG)DrgufxG|qUg~q{q5V|ZHsW|K{@F=baJ;45+s})e9 zk%^E;4h3MSpd5vK)fU+O&eNB+CGk;Zn25qwqw%{(mk+)f0T=zVrvjJ-qF9Iteo%WS zVjYNsQTBr9>D!B-Y~fDflyE#X-GRq#ZOt_v3kZYqLUg_~-n1VqZz5NF5f=wTuJSFFSYd@4&;%LPs!t zRKG;!0)E|h^Fu-cXK5N#8#J<2vTbUUdC4@qfkxll@CPXr_ zN1>8X*?WtksAR7Q*(=2F@lNMl=Ukt2zMtFg`}^nD?VQ_nyL7zYukn07#{F@>-=C)H z+!;YZ&38`-Z&*LK<^2sHpi?106@S1cB``lgw+eZA{RKMBpFZh(o4syz{{B$nLJ^uN?lcLDA224s65-D= z3;MG*FX4g1ZFZC#mxNIf+Ux-ea^OwNqT4O=_RocoVUk6x<1?ZF0~tUURk6&O_wSd% z?)-8;j_e}nMd2yqv1te21KBzQSO!6If#F6>RFqMrGY4v*z1(>F^i;K_PC}gWr ztWBQaTP?@nt~@{IF2((>KeT1+Q6?{C;F8B9G=D-3tQ-IoWwZG_G(->B=v%0eKVKGf znpsb^P$LVB2LxIUTTKtv$y}5Q-h{Y4JRl!zaL$qfAb4!-5H=DdFt7=Oy>t-kJ5DlYuyln~61}tC9?YM}%I(H@df_o{{?5zNTdHD-XT#bR3zrW)oAD)y1B}%m+ zS^;(N01Y8oysS`m&%Dme>Rf>m9UL=`py%?f?DPh?y1F_mD^6y3 zqkv=5L4(>oI$8&lOz0U_(`EfL$e=wL0_cX2Q$kYm0IZEs>kyoo08v5P32xUPg1)5|s8JS1sHr*FMqfm} z2j7G1dZ2c>Z4+`xfKbrCmS`R@CJr*C65Iv%-J+K_n7}v7ak}PY#v$yb^xVr@I8nQj~_jHaCPR_whSC8_Fyne+Ftmy3=pf$ER1jsU=YDN4cQx( zh}Zhp3n_Z!@OfF!&@C0TNicXucX>c?dGihyAAk$+o+YC?Bi~sP2~CLepE}ivZm0n1 z044?c-EKmW0l07QJ?Ot+6~bIcTtq~KjZIz<;?f8pDtN5GiUza`=+R2tXb@O~^k31? zN#H{)j#QTer+B{}Bt__C2911+%K_vn$SEAbXvqT97GUFGVF>#iL4KeY;i6PE!;!8>{oRRA zzg{jI{xq!i##c#4t}%{W#ZlWdV0~|DT#*M)csxyUn?v!Af#H>rT-b(uH4+b~+ zh&D~`?9ccdbg1k_AV1UrLIgm*_2nnJrzS-N1d0K{>&}oy2?<>+vxQ1o(Qqw}F>8Z> zgd~yi+$`v@EL3_WGGiUJFGKEz#=` zkPfJvjf+*_b~h>U_hHRA8sy`A|6JeqLTo% z$=mFfl0jQ2OVSjM-w>pQ&KLb+a*A(3Vj6~(T;c=#J|2L!RqLt$sb)R`dj<#Dj2osjxHO0LGWUNufw-52D7m_$3ujK zW$L{-&w;`t|E32$=~G2e0rJjSDs`hC~i_!-VP&S#|xR_uu_$C<4|kZI;iXl zS~Z4Ol#x-{;o(c)UVXX-W!@FDvCC95Py|43Q0iv^DhRJ}#S4f7*D)!`D~ZCi-@o{C zsr_{k>72P*<=T0@gvwVFDoCIXnT-Lp6LcI8pSr+hF~Ki7{tW-U2GB2#`{=#1)KqRUv9VfUZPJ=|lFgZeBpbZ|hhw-BTCd|15p8U5C&6p{ z-}VkH?E6Vc`sA4zp~1n(%GTCbu4jsQSiGD`@Q6}-ZVsN>;DwoG_`8G-PncvtHJAX) z8i*%Xe)7kB!RLV0T$rw1dWj64Y#jZB+TZpFtii}%J1-Kw((RjnFU!-3=m_!uhaD6F z9LeCYFcl@GP7-;=X-o!r)#js}4;u}=&3}h6MMZuc0R3QO3%b3*bK&8}0kGfAer-f_ znEUJ7V$)yU-kzl7M$jEpr0nw}v7B93zgnQ3> zZbEaa4RygAU>SXu0FP{loiz7j&R>E@VJ?~~5lq1&Au(tr0v*;Hk{lyg0x;n>{=lUP zHr0Jr)5%(7usamEo%%JoNnnqp-FRgPTVxQ*RPcKSP@>0}0D-I!=WE#Rb3@WdX7Pq4Z(VGOFInXAHh7aL)sF|7lq5eSc8&T0ja~brLf&ZiNJvcu74tg65 zJY%q;=R^n%j9ahyZeE5} z|FYrV^9lt-TF{?vtgqjP-vgB4qK3xZMJh$Q2{);~rp>>E1gVgm@iyW?*2wAQ<#&8k zig~2}y8WifOG{TePT~=_-Z@s9OGf?xy;IFa=qgiH3xGiaSU{&{w&mZmXPk;bImzDk zNfdo^=){WIpmlioMhvVJa8Uwa>PCKVS#Pg4ddu)6J`(za3vg$%^r&|?Flam}$?;qN^(io!O|{j>Xr(o*OswT-TR#9m7;07HdcUiXYx({wpQUU6 zk>}&~P%b#LZ!rRV?Y7e-cD`{%L@YJgyi!(Dil#jy??y&p0b~b&rGEhEYJto89`j#Q zOr`AJwHp4bz18jqtEY=uB(CV?RG&Y8UL4q$u;t-*b^6b0>pi{vzg$ikX}09;rZkCy zYmCTqto9^#B&?Yx z__=5*&}P$JxY?YI1_wXaNgr02t0V}-a;TFrMh_d?ehD5d8zfa~y$vRgV3pcDQ4UtY z*bTsp0(S1wiV~C%x?mO+Hl~?(0>a^$)E)+T{0C`iwjy)@xmn=$6+!L=Rs@W$Anu)p z?e?ap1#-4{FonwZ;7PK`@Zpb3Bih@t1J8+X`@22Wqm`y(_JJXBUDU^-zGo@j!PBPz ze|FoL)8P^*1&{#14b=V?EGQsHa0!!HXNizx1Cs#c3$(yyfH1PMvH~+}gDwG9<=j3~ zK`Z~U_a}vfgaie(p$I|ew7)FxVdKVH54ZbV<_miJTlBV~8{dM0a2sQX<}!Gx2?O{8 z%wDx?F^c8#2cvbbU|QPP-|ym4}i%fEoqpuJx7g|0v`_gS}-j$0|)Ad zMVd!7=YOXq>I@A?jVE^Yr*bXKHfEu7>pdsn^z`7JY)LwP=Z$RX9+_=~on!i`49AM8Q0*JV~ zeSf9PSfmPA< zfiVKGw9#t>dQ2eDl|js*Q~c-0^1cm5MKGDYy0$&IJ#NQ69n31{l7&M?z}wm3Q8UMt zG&4PoM<;)|@FEA0$9QoG}F(Fzafc$E5xCLrfW?h&9@)3-waXr?&Oa?4 z-3$hV6^(YGu{=QTUY__JxX|6=UkhC8Q`mD?7Vnd0snRuJ(3&v?HeUI1=-?BOMR>FAlg`(mked`nQpdCr> z`3jqx#wo_|s@W^UR}n4$SmfnB!p>5_*L=q;Z`T;gw=FJ=J4eWXDIc%%l>R1``(V@@=$h{quq!dcI(~6=v=n=1>Eo(# zR>8<|MMYig5t3}cl?Gtm0b&Oq0P6t)_JNZC;6~CC5=3D4p|tdI81tS8WXs6mW zuH>GZWrNRpYSr=qEe5U!x~>885y;EXRgbMLZ@bTA0lER0OF?%7$H@EAB}XJbYsb42 zW4*;fy0Fxd@6at%bGy#>Gy z(XMcyq$bG%rX(<=1~^&&u|1BfcDBWPfU|+)hEXSX+LUU=;gd>r>YwE!aQ3ZSetnyG zFuEZ{%k<67(UfyX@<88{K#yr(6adlzIIk#5i_#K-`$xph*xgCtRz*T$;s*d|+*Qt9 z#FK3Q6B2=~aZYaidYT*M_Odb`GTLDkRLe1ZymXmiR5nZ%Axd5oeEp!=0qNfMk{bm) z0xf6{(-(V6`0iagYI~)b6yhTapV zmJzi|BQBQt+>u_;SDgVm8K|$U6F=Czq9ej_yB}pDL8KyzWV2glvOSY`#dF-VqA@ddeacTG&@A=Mf7Cg2y3|`aP!8E;R>hbgGbPZ0;6;frUI2N zmbdFOZUXKRrY#R@Hu~r`7~7!JGk95mm-MaOmWb%+nUi>}e^1n1p+?@TlGk&w9Jb|0 zDK;GLHd6;@DD?PG+*k7Wma%+Mc8iHnYM}vW5~t*@G)zzgvo;)HX4X-XtLDwJ_Fn~C z!sBUsFx@bRe)wYiKR4i&^z=UExkX;Xg*QU9{VPdnzM44-@M5i;#c^wCliSx$6Vt5>}R#DaE(RV4zO3U(%P9cy&S{CAjwV{~4t)lxK-@%iVxNx>A2(vx#3Iowe3Btm0t zD{5q8^91Tv`+YGT!`1CGnJ8l_a!!++eM z*L;l$@hQNJ_e`d^4Oas6C6C?YJ0U)7(0H>ZG<&Zu-ZA@0;_GXMff$llC_3(FZl4=OIAN3Jrxt z^y}aw)ZT0J)E+3t`cNjbB~N2uAQr8hyEol8b|wI3t5sS|KNH+F9Gv^4Wo9Dp+Et>#(uNx2Z*5rF`FZ$?2cCz z%aI~{FTC--R!x88E4jsG*goagu+a5D*`bEq=abBPNOwOV^DbgaEyhi;ng&*{J96rfu?u4q7l<@)sub7M!F1#A%w1~n%GWDUJ~D^93ur;=yW7+7 zKTaXEAZ`J48al;(Vc621v#YRQE?v45B@@>EmI3CS9KymMeAnid#W^@yZC?GlVNjm` zx?xDv_dBP5-7rj^0sgdG8UT0KJz0V2KA2(Ff*Nx0R7W!~y%^-M)07xUr-eEx zWnRgt=g+bcyf{$2yIt>%9zA0vFI1%_ZWOm;AkeD!Z5^gu%!6?i!he4Ea2p3<0pa%6 z7|xm$;M-pgv1f9>wY-Ub1t(Deq{`u?4gv@Q?k`KLu4fbRRT7XVc)Xz*1b4jjd^DXz0S)+@d&emHGLXO4^xR z?n~{WUJu$r?wN0M>DvZej4nK!Aiv=SK4ZW6EMYdmlgOxMK`Ti=>=!riCEb-XW%z5P z$m2#~)d~QQ1w@VmYcWS-JT`h_|lXY$;>4)O?X;4a29o_hziilSmL?5nQ}3r3&4 z%-GnX2Q#BSVWigF;~FO^#>M5rIoUYfL8{Ta=t^fi~F}P!eyFAld0C);024XPV zfW+DZnahvZ2)oix@ul{GrHSBXwmv(__T+yqZDnoE3+kmP@rfR>l3O$g5uL7Y+g%I! zW>6o{i7DIg@EbRbHyUtm*(W%_G!!VZE^BPSuQ-65e>FZVJTmJYYd;|MFgmj-F<2~y zAcdw>qV0cqbhW8wpf)WmES$%Y-VBBobQ!t_P*Xu$Ho(dLPnAz0z}xrr$Ln#!(_W&X ziF{3W*@=2!et_%;eB7GAE|6>a@*@Ihxm@01G_1`Slw$wfLwTxJmE$t|ynrYb;;XNd z0ApBsqEI$!23n#}*q>3VDvJKO&8+=!2@v86HM4Bs2q|D`fG4*okh`BhJ&h)OL!6O548iS6K$$RmP{v)=qZ;p7I z@R~^FKm|g>XQ%xGrGN;1ME~pLm=yP7jb2Yiq=D%(uWuf1x^-HZYpL z#Db8j74f+r*oKJBQj93U3-Ix&X?6goE1>`&B?Isw;S&dEW7&Klz97jUfBCtw1oS(= z>*Vmw-A(N1IFFINbmyPOiS{4hY!smLrKK?dR;or0NE}zjJx6x|0p4qO3%HFdF|+2& zlMhMMHhIqHG@;q{PmAlE*VuqY=KfWs8dxvD!&}={Ax7geuxdcx1%vD!ki^dEF5WJO z&fmDgF?-i7aDrfbm;CoIP;m;1(xbVc{nYHNKF|Wag{jD`<S+h_(7EjhlT`Q?84&{fdzNydgjo$Fxs4F0OxP7#GqeaonL>!{+Ma8@Ot%Ews0w4ph;9i0Xh8U+A*mW;EJO35{#9^U^!$D(y zKfR!009w=3RBrPjom#tQ0ZMwkTNnmxls;^Bd5 z6Cot0VdhVzr;XJue63X}$=!_!ZJwL-$Ry4s1eyJPA= zvVW-fK{a^;qfOH1?EAvChO>hw!e2t3N@z6o01*Vb1cr$TxHt&G$&capqm|8p1_B$i z$Vq_@kViE1Q<1BPZiWh4_03>TuA0Z~PYl?xJhTyy+Athn(6<%I5e0ms9U-S5 zx?a6_ewyS?U|j=Q)|nRs9?EV^Y!e$2!52Z+=>pLL{gnW&0ZZEt()G)iFTp-ZNeAHi zH^8lj7z6Y&5&L0-E<>!p!GImPC6tlj?2>*AfLf4IhlVjHrsE*JOl9x;tSKd@8yA#( zT<~yh-EF=}D==Qym|V^vZ4t(%Z*y#T{e#1?x>Iw0?b=m#rt-H=MsNy@g49{o#RkpF%;?qWl}J)vr9R<&B>Xa%k2vTE0Lx z@Amn6fHTH+p+67jb!XKuZN-d`zw;`9*$@khi!I)won*KMA0d@O#Ej!42$$jGa;=gB zvt)Ms1Rm~X_i}AlV)^?YLMsRk=S;bRN?px%onxJpXZ(ohBgb3CVzNm zfFV=Rxym{U8$%_SI~~eJ(Yy{^#>gnAL|NT2M|XJm|N!;5Fl1Orx+ zs|fkh@inI3GNdWrU%#t-(p?z;_=yu&fQ{&#sSnwJ&UizYLi;+zDD26h9HSF1T}!;q)%sz&-KtkFV=Hleq=?<8;xJyH|$kK5f{? zd#;ys_=blrrSyCSjSG58>V?Y{C;TS}qC5Z0B-6k5G4Zfx>uZcI`5I$Rk{q#Qf-RIU+RZ6iyugPSO-tiYIU)3o!^; zT4#Ns9bvq%W}%T8WB95!8!J%&_g=k37C}7c^|fQepl%VV@}5G z;4eYC^MhV0CEVt|U?*OC65ZWaTpR0t>X+uyo@dg3VPpeyoG85Ggqbm1#F?i!4Xp~E z;aVk7r{zS#PFnj#7W)2u2si2&@gFdtjmKj-S4&!QIp1zJmq)Eo1au}>;4`Mx<+WE}r=9*$ z?L09;e29u@GcoNT>3zN47hBzqS{iil!;|J=s8> zOE^D)Sa)vmONfjw%jEi!VfaGSa=*E#!iYK|SlEzc$I+Ta@h?k3OcAlO7h-jO7oFEi9Deso^{`85s4`-^VC%w!DZ@$zw)i#L@Kfkx4z|Jv|>Ogj! zL$ujLWAhwI0P);QdcKy??y_i1f`b>U6)#zIZDFrbGB9-4ddP=_hB^ymXhYd`k|Mi; zCRPesjPUd3sbUIO<%XY~XllBVe~J|=p?JlHBN;JPZei&zeGe|C|D_G<(y{$4Caq>~!{PTQFSnU^>mNrNeB~}!I~8~w zEdc=dI$%0a9mN4E6hKsfjWx{6nb3J7o-we)31-Ala=H<)@hC~T3S?XrzesH!fI$$D zxw2tg!->+djtg~OKU2UOn0?d3;DObE>Stmv7BD7>1>yetED|{tSSz|`muTH;^ z?Q@mE@s08mBQt=7`1vOUMk2l44sTmSyEI=W^?C&p!&v4dUrHXG>q&)gplvbPd|~C5R*Hw_6T4Wyd-D2H zX37Lim6jeCA-{hZHCnlHa7^pFO4-fN0;o8Hv7|ixef;h!gc;E?9Wk^WCXK2xd?uAM zrRKNrMDAkem{QDN_#0DfjDJ=xc^uH+Y<-`Y>dY+LJGp?`AZ{T>+E>O6d{|I@wIKZx zU|}%@#IQ7Ic<4$$QxNG>mO`4u<7skdTQea!;9ve~_99gy3)#oA^fF8Fk~%&$6Y6x@ zXm!WS6=yu!c(XH}bVAP47|Ri3yEQv;+DDiDzX?&1M@v{e;~Jc+ft8jV5jVfu?y*24 z#Ub`i8Wh1Sa9Hx3&i05zGH!8?)!6Y{^DJ(X%K2=E!W8~DHe1#%%&p)uF$MoP=U6@V zw$1zr%^LFT+^3%_(`Wsj-^VSEOD<%pzjKUqk`{58e%->q+4`NsKwF8zW33&VDdukt z;I9a)1=Cm5^_K9wJo)nLFcp~sEDORGAE-jjW}$@hgIZv}QZunzV}JM7fm0aC#oUSx zvhFLfZ*TQp4xG5`bDK80IgSmLkS`g|DZMgPSuZP6B>J{4v{JxKhxU0FfgZ!AQz=)X zK>8!@qtrtKU!Q%q+9ROuh*a5b`EQ!auQJaw5}F*J ztwBo(iEZvj7ob?#4F)DI*tLJYU0Hzbw$##-if9)zJ<(4}Z#zz;O+EggP230n!G(ei zA?oMn^c4;i<_fV%Sf5~t4kpQXo-8NyW4a^3_(Jun+4Mo1`MmQ+chDy~SLtxh3y#`u zY$-xyB21SCrs9&XoJd+6v+-WQ4;>;a@)hKff%iE9ee7@6aBd$rn#e%;>#cTN0^;uC zSp6X=l|s^2U=ZcM-XjL=Nl!SHkr0&+7*v{^YF<9@E0mLI%;mUjwM}=9Y5B&O6;BBd zW=nOGiAb5;YZ}P-o#Epj`?(y2k@9&8 z34+$>L4!>fnnTe$Lq;HnYwLwuCe!4IoIFz|qxrg-8m_ZVN5nR^M_-#kFUza-I3b)YQySKcb&)2%N%ikHwNp5wiNA>_(^W%{Wf=bwnR7xlL?0SM6f$1kxda7CdqBegoo=TPZapYKNA*}!^2Kyx0eL@Eaj8|1` zYZfG;ohmRdVz8eSqP{KCqte>;$6#-2bT%#**wP^KhN|+WXzJO|ylB!6AXwkQ0|wSX zdB6@W^wphgyX42^~ zeIe;zLuwK~KVot@lQ8rbs-?(WFc1mA$3dG)NhbktQV@jU)uvZN=YEu5a1M5`=1Kb> z@Juw~TI7=#QfNRwVV9?8>OqUu6TdG6X>vauFlH zC}BhF1#W9WnU#)eHoZruRO6Uut1_grN)PYDUGSC=XBWu~|Jxilk=GpA1OalxJ14Gw zF%4VPelA9Sf1p)cHm6-jB!N-oq>1@Bh7>jn?MLr}6an$zi&@+Lr#v|S_U#4lUmq@s z{_g1BM}wma*but3gp-#B^$ce&W26F@_`l1FhWWa~{*kU%ok2 zv*7*RbnRbDvkK0i9sp6`FGBI0+qZ9@%Sn-%n%?K>iz0^jp_`Vj-vTboCw(}xd)r6v zp}r4$j-klw)?6I>3t5W_l2;!FtIl69u$a3|R5cnzfI#-6abylS&raH|vMn`6=vnmQ zlJwUYslR3c>t6iJUB4r2`1zMTso63z<<^%Ho+L)e4I2bKpD%ll_&^9Xv%glj-@{Kn z@a6iR=Wwi%ztM(tAm$1giB!ZZWNm!Yq2@Fy#^4lQ?70J;{z6*j;Oj*brhEyhr=t&_ zI8*)xivR1&-oK_PX7Rtlr%=qaqw~{Q24}N9o?)ls!lM$x3IV#IetccT{vbG?x&5Pe zojNY3c}^9r&8ZC85UYc(T+C|YMS+{Tde(}ib-FU?%1QF^Jo0a$sia7 zv(`5a!sfrDVZn!drvoV@ICwlxKgQZKb=o_Ne4Yh;m&os3n1%_n>Rsrty_k=rZ`|_8>PU9_;nnROJ_6*JRBKe z)M)j%eWst(gHNrSO+Wx=2QoPW zy1O;@O3eR+G=A;*ID2+>_8M@ggfUJWWAH&+9Zm67)Q+0L&nbQ)ZJE|o2lLmvGXfs- z_|MAN4D5NbH46I4=?OKn`f=MH@LX8UmrUvm+18Mj;dG$S`80u#4nToA9KNVq*~3@9 zeGy&M`&H61KJfWfU^?fUUTvb;AjU%isZSH)jvDEh*qxfYXgwM5yCTY}TYQQWlMaV}QY?C^IocA`dr3^_XLH21)F{Mf0uSp(n&dALrjNn2AW_bMC8TlS~h z%gd(P`q6Qz(55}iIXuCM9K*dxf=5hz`!Yq#benZHKL@DD9u)*^4T}YG^*%pWKpB_i% z`_J_}Ed5Xs-Isig`jbh!B>|Ctj3jabnI>y{^yccAoo+XahkF#yvD=Y=H0G-Pw5xW=H@-GLmTbUclC9 zV&C+@zRoihk42+%E894_yH)NoWz4!K0>b`(jGZO_JC?tQudRQJ0;M zXh$fJreAHr2i@%jHMK7Qw8Lbdp-%lwPfG`31u0a8-&5BZdZ~xLD-@XR3|su@uyzjB zh7nx4u;p83|9z)#7Y~euK@$f*f`2a8!*s?B9tcdTo?d>+$&roo=T7@2*ZKveQ2@V} zZJ)W0D0EZF=RQ{ErGifs)jYY3j+$=#?G`t%F^!&&pMyR0llrIERDG$!&mMTv>7H(l zF#Q9^fTw68=77ElV9K$~q@D|WNJsag=Tcg`0FlPI9TnQ=Oj@lwEaC?up59_VL=|Tn z-w+O8{Lar#l>JyEMaXILJ3R{RJFthXb{oWoFu8+QVN`sd?r(h3BhZhc@C3KJ`(^8+~+XD0B<6Yv*N%JC8O!6bmM`!x@UT~ zltZWPU#;SbYK;dMG(hwKP-J7uIrml=O|K%8c#Eb-&Oaeb3LkC>CDzWo_Mwzxr_kOk zqfP6uxy<4oJ`3dl9GdzrYBzNN2;o4P5V`fSdq)4YL2sq72Iolx%Ne>1W}oG?YLBYI zOY5Z60&PFmFXoDKVQkV&T5Ni7Dtk2-nuri-Lq+0M!)TY@t<0adNoE6c44a8T@Jlum zon7{p2K6M^h+)84ZCM~zgu)Ko1C(HrhJijnW-9n0Fxf)HdwDNy&Dr4`#Tc3JMP9E%E`pL7cO0*cYZ0t?wYt_f* zubR~pN-CR>-iGh8qC?_?xVG)ae4g7s_8qk*9_)PDkTko$wiE>UXl8ek{=o?FB=VSQ zHr}hxpEETz1yMFe8W{1Rua_=*xQ87`VmE-!2#N~fqrnW%d7T9G6!erD46E|!!DR%y z;rk%#-p{~hkIOk;gAco)3}gQnNICY zf*CbVmV5}ovG!T;Ob#Br`1bQ{czlg<#@xZTXVe_ zM&(^^T?MSI=lb#ItKeYjjm1h51L)-CpkoE{n>q}{8S3O+MGVVvkW}Ii`PICi?OGn3 zJspWr&J?^&L0$QzzEDO}ne9ZwttxtD?Xs-7htcFWPU!t#8YnO2%H!NWu;j?g) zLw%m7Xv`lM3Bt(qkNI@%etKu_UFJ-GIEb778X*4c*RS7uaGWFyGhSu*OTsKq-{;3n z`;i}?g*a2n(2Xr0=}c1wY@%ag{ASbL`LESfm^NaH zK{AS_wBbzFN;u9dBBJYtojyf%8RnKpbG^#pk3}yAkt|ip;IKEEQ-L=94X^EBAZYoP zg$ox8x9MiHx_}wjz12T0V-8D`@^l6!FDzUqkLpC=QO&-6*V>|ZxO*C*CE8gOCOR?c zm~-)o0`5!Oh^y829)x`Ru$p<;L841^>Qs2;S$D4!ly}A_>mF8#Ge%6`P`sw}nOr2Y ziS^U9OopsYGPIL85V~Rbj&|()dBp>HteO6ViPzx8_~F6wVgD2ycLbE5s}Nd1%8C;d z2*r)TFKHv1^!zswGLwK)ql0^3Gq-wcx&!TH*Gn!t7gQWhRMM7-t?w!(G%*%Knuc^Y^>O zO2awCZukdN%nByM_{f1dd2`=4L}fCEUp1-1)vM)$9{iBGdem7(fyQ3UCkE$ zE3>}}C)dq|%#P6JipN@MFk+IqbMF`0%u4l54$OeS=1Ao(ZC^O4`Tgh+ZGLj{Kt|LW zvur-M$1J0OlIIXEv+vT}G2sC7hGx(Vm9n#}VC~z!k|Am^ZQ#l@{Vb@G>%nJ&=7&~1x%auUh1y&~ekkBSZ>ByMes_E=M093fP~Aj@qK z$1{Ja<%|^=Yffx0UAfpyy4ptnCI8+c931KkK%ZsL!%Z;MK>5FNnp&B@j|lq9C`UW@ zTrU8}D`@$EYVUW~D-)Mg!U# z+U34x-RQ`-DRV3CW&7sI-yFn43Rkln)|BoKEX?6g&=d5;qs7B`y&b%@I!0EaW z%4dYI(B!H#3o_=u>V}^GYROmk>2kz>hgCWH{o28jyq$t*iUxn>7fP-1%)^#C-;QoY z4WgUx+#1iKZqK7nEdr-P8o#!BJNl2$kHJ;-Kl?E-@br1r%J+Ge*97tL+B0-r%*sBx*?7=B9${%{rsVJ4Oih?=%+HM{`!jfHWL?y54O0*+_j&H3rN;=N;ay_~ zwsGtImzy84dDteW`f|tKkJmkF493^al#+GlSB_D5fE4g zI?50jra@-~ETuj0#agb_{j=Tu%LQw@iN1DtC;OGGD+Cj( z_2Ha^F7>|m^&dB1)^9e6=dN;P6|nY;HRxrh5G1jDt0VEAKP7T26liQI5wSAzZxZ)N z85|p@InJEvODTsGJt`AySVL=*6M$%>g&+J(C(+Nlqfp>3sJ_?(k_MvekKl3#q(G1t zDqQu%WBFaL4;=Gs0H;|v@d=DQ48TtI6#m(Uf8c!(ejf~4_=GWju&47haZzMarU)&G-@8~*Mdi%KtJ*~BL-*@HXz{Q_eR-iM924OgES5>ycxQ&XLfZHsOH zpoP^yV*-3_e&TZRQDeGgx0 zzgMM|zW@b5&QH=2J`>-~2fmn(B*7;e@-EcAMW0mviNsNP&sSiSQtNzAwo#>whc#kL zxGEHInB$IfCowl)w$#{<>o(@5a8-ecX6w$9$Du5L{e{9$uNF+AvOhlifg8Y*^*B$^ z%>Ph`6NiQ$kyFGDCH=%EXO~tK+M=kdu288EZWAf{s^awVra?=&#C|Ad(SkIlu#lgd z`Di&0jyCY`(8hgmMg%bFkS!p+!hw>IonRFFmpR~@&BFz3N=w^weSU(q`1zxm_Z?(cq|0HI~iAT#3c!^f%vhChsskuH2%&0UXGK#@)?r ztfh-O@$q+(llP~#$5aMO=|;){1|fYt;zf0`GiOt+AVt{n$vf&Fa1aNaMfI%C1L|^c zAH}2i*`~_+`z?GdO0O@@;RfCo`~=7@;1dk)7R31YAZw0qvC#Xc zRUSEbw>b=>;S)_ck448OKqqZRbuWB_Cy7 z&uJQ|{(SKO9E^crYVz3~n9o=&z)pqj6q0@kVkt0e9?U(~l8p{yZe#XmIsFEgmc)+P z*C2UyDlUTrA*M5JK)x>xQ4iHC$wHg$hJAg>QzjyJlWZRBni1%g&cf-Udr=U=FOpvK z`o^)za&$n6dLpmRVW8_*H%MmaNfi)EmwXuH9335jtO7oipFtu90yGJilem8q(){8q z{jTRDo+#3bvIvkOOx{GStfe339%85wDTC-Qh!kT{E|u%W5{=Yl5^K$CgE(WeC9Y?y z3Qb~~?nWdp+8UFZ38jF!m_ylMq>LT9K2GB2TdW2mCRoK5Kwq@Fd`r-D(LieN+3vs# zULWi{s>APWX;Kj(gzK@EJ$G_rzqlxhye`B=^+mqYcD9xd2H$Xo02L;8+X;hGEPq+r3dKP!893KhOr8C6hczOc8FhHsiRG4j7sfXMx$+F@2oE z!v|{mpXML*{$H@sZ_oK(iMUdvXWvfQb-e`K|91EG(4G)S>TmViEoV|R(iGxmOMlz) z#G!Vej*dDoy@(YnvpWZakeQog`QUe`w14NS2HJH7oWMP27b5SVnJ^N;@4LCX@y_iE z`efi1V|f%1yV=Tzoo7cm78-kOx5ppml<&?s`iM}TWUSD{&gxsXb}yJ49syunf_+CP!lf)en3l$;e2jKP0hiRkoOnq7k6+3Fh9q!wOWOyTrfapK~xpb>3Y3_S>8PM6X4E+5Z@E# zr@1*fOI6$7;jYkz^3dpky+!xUb(eS2?qHY6#@WmNTV&b~49|hK95iIM+Q=yp^c(+Q zngaYOIx6aZ>I9U$1FK|D0EGtT>FLF4h&o`dciN=R2l^&(y5Qz6c;TxYMskkP@$$3q z0`B~>izT(8m5nb*T0T{-$OPiVnlIdZSsWR~Q59Z=Gml%7<@bZ+W~*s%zzf|1%S@%s zd24+98E3MMGoxP2Q%gUYSZiL}y~z}+-=H8^40x|;WLr*}t$h7)FgCW_9;+@mWWb3{ zFCqGXNzo?m2Ut0UW57R;`uP$nFF2tHKLG1C1ys8_vXN+mi2sdfFDaBNaO$W|bb=H8 zz&W3I9CkfeB|R)+=C%8c)KAOw=TGutA=UnyCgG!( zi+t*D9^dO?<0j$`n(W}V&+=K9AmJ(H#uH+ToD{lK5KbaFh8I~7REp1s*YUBmJfVn} z&+Y@C-FsuTA?d3m@naXV^e!5UoQWUZ({) z7lecmh+dh`Cf-_YF*X?-8tQ3ClCko`KD52F?8!bBXyV^Ew=`#^{t2%$cW2UMhthjp zqUMcq1|@%l;?5NF`lz2bUcmP1;@FEXaStAlc;r=x;{+JT=$p(;?F8VYEVlU#4`Q2` z40Aq;s=)hnp&&og&kJlfy=rAno-_w8EU>2y>iwhx!1NAS;h3hhXz@2>R111l_mSKB zmZT*XZ>SLvi=ye_;}>~L3~Fo#OToDrXwJScD<2lg=BDf#fPZhp=^s5q0|NuMZ{JSP zULtr&9g9b2Ay4iuj5*G~_d#Bm8F!PN3a_>J+fKPG5vl1V=^Ogw{#;wjZONnJ?n5X# z)|7~M^-ax-J+muIHv2t~9>s4F(d*%*;p~3P_96B6B`$U}mZO}mc%UHbz$97!xl^KQ zLQS8FD(e<8X6YG6Jd*WGVV|aUKLkT`0~rveIBXy=G1}@nUHsyd&etEEK!9I{u_8b? z7!XtrW(54dEwX-o^k_yxmJ)X1p#6Fm`*eauWc&*{_jbaXq!BFEm8e8xwAs)%!(VNG5YrO1Z(Tb7TtmmSBOs0i@&zzD}8BM+SQOeeC; zAbNmLoO#3+&Fe5rJtbW; zn!S?)GRw{P75DRTFgU_{SzJ(U`MKX&1Swl$r^=#tguT~K`K*y=PzO3y5KM;m1bS4` z`93AzVLGUyQWr-#o@&}2A;2`MV@UT;UDBYt;TMyF2xXfUAD*vhSD@?~8}o;y27njJ zW5pC4Ee+9s9{zwse}rK1fyXE0phbY@8TY^ih6hX?J3GHEG7eUMcA8P&)Bd0L;Q8LL z=4XRn-7UwK^NV}Oa@)O=V(8MQD986TO`^9B}GH zF>@=hslw`I!rX&&JcstgTd(upl4A+z?R}pj?3uyrNVD~VzJ8JkhNzhzD6HWlhlkHVrG29-7cbgt}Mwp~`WnT*v zrelN~@0&0@$I?gUvJ_zhu+Q7U$K(+b0Wf2k@Lf)=jGF7M1ft`^pB(Fj>;~j8V&@&{4%QwYPR?Ot81sbn*4L?> zMe}Zo=KIBjr+C?tsZEbn*V6evmCtu^SX{x>J6ry&?#qWFBR}tE5jx_q4~N1Ib~gSl%j8p^A zqCt~b4eqIsG`^u{7ic>P|HGfaAV3?TN=f;^D?EPuIGBTE%0jJbdGPd0{(#LZLq4(g zHBE3?mQ0UX=D{m5@$;)|53XC-+XX0ZBq-Y~>hxzb=m{4xrQWrXJ2wiw6@(rT;bqDlPgc9KkDC3Qd(-`+m zpa)iaWLV>IhTg?*1%ySoMM*$>TV1^ZMFc3|7RA$ik79QuUOJbB{FS15;gq?{g|oRD z-12zpMS5lWbxXYK=~66YUCr!MKGe$5jZ3HJKH_}~+VK+c8w^Zb7op7bkK`)Enh9kW z<^O*#1gKWx1RJl22PK7JuHWrk#ABo!G68IfHPk&!)1vNJ;wMG7q|BT^xw zl$lu>3CYUd5!uSh=zm;2_w)Ro-~a!=?(hA5-FL5CKI8p9-{*Op$9WtzenA;tEqR*s z3QVFWO2LCr$x%!(FFg(^@#yyD(~gn zJ3D`jj~nRgABg^p{i*liQ8eUwDo*dM=HZH=RxR6Mr_@~~stJrvUq9OXm5a0UP8bf* z(&DgqrkzeDcG=-Wa?Ca>I_i+CY;5&ysfMznq`n4>uD;xAk+mXg8VzDK? z^!kZOEpTyoSN+D$#>8w&+axUo*+)?*=swql9R;di*?s$N#+FcAEjQ<9Jl1;bb93{n zmoKfoJ+bbg>H0(e2Q`keT{Pr&51ED!9zOiyI5R^oPO+aq9eygGmw_Y)9&ZuOef*Pm z{k?D=_W_~{B}8&?)c<&{q|{gEQknXWo$$^})m?nBL;7P9LA~W|j{nRJ0p>uXzE2-A z^13`J0=i!{R>eLUcKfMVa>Pr#J#Ce=%3)*XeA!%hy^iNSkq?92Gd~tUJ3XTi!Y9FQ z`feM+Z$+0WoYGV(6;hqTUb|`m3tnh;E^!8G!ir7txp*`^zVpo#26H9+EsR>13TeQjW`=C(oiHco1>mI$gO~qlZ zoSG{a?+bnj88>&7y~`6d^aM9aEyw?*HF%Ty@6{czOjWGOm9~N^g{r5{C{)YF`H|%j zp1S^0En7-$qZ?w2pqT0;Q@kL+B0N&cKKId+34>~SgxRuRUoIy5)^5}QD9hUuCI5|) z@r90{fY#%DtOrQzx|;G_hPcSmk#?*py z4%*0s>|Dha%!vV8D4#%eA>4)FJ z3}x)7u1i)nZFe_eXf(KV)?Ht}`h2zMS;|vJTX!SmT}c#=DRo*#Uh%HjcKR|sA%)ew z+aR{|_U#iOGq-;m`NU9>wQ$_DImBATaR0;lMhh#pahSId)b6rb9Xs*~9k0LTBaP30 z!tSx5p?d}p`p!t7UQNNIGdL`s>t2G=T>o1hO@TIW3Lu^jhbUp?Vj(O+n47Uj)I!f| z`DbQMPB}a@RCsSkMmo>6M&pA?D)$mO85v_C=hDja5L?&NV`5`tV_>ivtfW%Jx4@C^ zqbTHh-Al@v#IBZCq@*Ywj)kN7vgH zYJ1~4ZEe3hX?p{4@DtnkBGX^AIdg#xzHrscle1xw8(y+w9^TvP(tDR(yw!_4CPCCd zCh{sX^Y)!Pm*yoA`Tr5&|o%3x&KZKnR(5S`t9yWRUWR|zD-G^mtXWt-5zaA`M{$25sqxP zZ?+k7zfGg|cg=WCS1hvmF{y1qGs-(|g`5B6j#4HBl5EWdlYiYc`@0I9|7< zi8sC-ArKI9hF)@Sv&8Twh8wv{o0{H9_QvaA6#&4rJ=Ee*0M=FhoKrm_dBf+=1i)fx z&_d7IZ@?B&3!|#e4p>}a0I~hgn}C9X0({L8_6P#rXM9Y|w?7dUmo81>C%b2`DllIC zt;Q5*Ir6pffF4%QmiBfc`d?eCMu5IFq|kGEWl)a+RdoDg&0sG_iEmt1*y-%($}C!QNgPo-w`GgrOjI`t;?^ z+E-7Xjv#(b6W5c|FAt0ItI?ZUBszL}7?F+oMsAWkixaqL_BW(CAcFsE62rZ&Q|gvZ zPBXAgXiArbvsncf@vsA~{)H=}urMa6*M1B%44I^ziil%yE}Tw~IBRB>l$6x8_4^cP zGjjd7B}k4>d+F=zC#1^)Ux%@#q&5uC3*TERuBVq)R17S7z$(0GHpn>HdAX?6Qw(A~ z)4y!7{ru9`!SHsR>Z_eRer>}iAV9uHp`Rjn7}WV`k<)(ZrO%#yN8LL<(%X2t0 z?G-1_??oo*ZGgApw7pTcOj)orv=N`#(oZ{ev9d&G0&3{{n~u2;i{<*EJzC~AN+Gk{ zYi4c^C$GQXoE9Pzott0(@8WsG^#5HvwObP^rpG@l$I8Hvr`i-X|mT?BPgEulM>?Neb(#@cd7MM zdomq7a9|Sp>4^OSzP`uSZ(aF#D`xjqELI7+%Z`p4!=c=S;wy>OXe{=a2>W2Y5Is~M zJwo(A3WZmB6or_BEC5^xl9wYIC0oS-#C+>Q0l5Nx#*Gz$a@(<~5KUrip6OZaQ8KT(%1f+bEKRUB*Pjm21-8JllAhY(De@x%b>aW!9nx<`S>w~ zQ-@>U(w%J(n@(35x3(3J@35(@t5XLzn=34Urho&S^{yLp@1}Aw8;@m%$@JENk3vyT6?}r;oF_S!XFav z*w!7L#p4sV<``*~J%~=+qY6Py2_}+n-VT!}6e61?Tc!Clo=I44^?^MA^zmPrT#wz9 z?Vz1sdU)aQ2Na0~D^$l|!V;JinA_x1I&h6pghr7eCTANq_S(yH0uLd5ZxnGrM5Jg#{Qxsffw9xk z7jQ>koN?CCxkudQHql!2EG*-5b1uhj$uo?TK%EU~YK+45c+J|}Z+RP&uwBSPm>DQ* zWhxptViJKPGDcxIE-r3-{6dx(j{l%m}+FzX6LY9dBR)mcB^wFN0*UUhdGYRD&(HlFyLVqY`XWES zeUbb5xr5!I5o2*c6LHWD4GsO<&KP!hEhH@`mpDTnS4Z56H@cG}@zbfPK}o$e)_yVu zHpIx_IRZghRo?p@ad6;nc;bp=kQheTGS7WJ6DC@*>REMn>uuloYX~xj!z(yT3=En8@r!>S zh|{)>4}RY1Y_jFww_`ob$wf7N$MkpEhPt@A*PAp46%+<1-KL=hhWv1Hdw%)1o*K=n zbONFDui4Vl5@exbIGqmRRKfp&ELk}TDm)m2me-6I;T&I!o!DeG!9$Z=y-m1EGah^oL}&=jH=O2`N5lHm4k!c^Wi9N48`%cxM%kaY#8Q zuDSbMzztg&ehk1q*Op&mUa!G|S-x^+=gXHk;Y0@6WIQs0{rtwF4UeyVXKE;_IdkWh`_QOOk`<1ep!)&l7;TBmZxbf;*Clh*^De zbCF{K3{GL=W)uNYp*XuA)=Nz1{%YGLM@QSX&qlhL9++VB-}1~!O%R%-*Y@PqZNZiX0^kVOEB?AD*eDxD*b z>f5iC6&RTp_0*%H`n9;&D1~m9aV3k`6H)_EggiX*JJ^!WcrSiGS(q%T9aL`%AX9vh z`A!YIijhG8$$9wDreZfUv#swX(qGr`BV9#JFf0SMoD+K^`Ph|O_b;kwx|vkcDEQ2$ z*zK`HiD{t6$j;6V*&C3fam|7)YcgDiK5QeS@}wA9ZOjWOB~K-h}9 zbLTDlLtJ8aBbkbt0k^u zCPqffR|ua-#S5?feisZH&MszVpx7^#?r`@e`^}cD4ETxg@Vw{SuUwGM_bO!?WH@ZD z=!QV~6NH_YDf~&G*;cCHWS(!|GWAOK>W(GZ+2Y`&D4S5|v=DV%cd~rlEkf!-O4!;V zSAFgF%(E-MDyk-v0ZgLF9Z)@ZF0G}CYY2ztrC(&%mf!AENU2y_k#?h)p!_}4+qvjj z@Vsc?>SfexI$oRIZA7`3*3R&2)BQu; z0YT~)N3Iau+mqDYSvR)a+D};?pKk>Y2sW43+~DMe=Gr=LvZ~hSMrCnx4n7|m4hiO7 zR3cf0zYJHv?-tN?Hw}mW^-%0+N}aY=jd|}AYst5j5fz9Qt>?Nsc8h-pnGS3GaQTe{BO!PyDXOZHe-y>{ z^sP+ZW`a*A&hl2RYo(*3qtU0vpt=>ps7iz@Q5z%qd^ejuWH0d;%8&l2z@QaWT>5cA z5*DRT0+x6Cd9$*pZ?lG$7;=%AeuqPUSFZmx)YJR*Rhh0k?#jj8{w?RHr^ka7ds*d6 zk_7g$hRx1v<~#N^U1RLsBikjVR!NHZDU)<2MN3er@0(56YtrpBUkhlho(yGHS``GW zX9oL=#pLz=ntx#jAoG%huvSK+=A4t#!i`XYN07gRO&nS_-iRB>!!YjzG2UO^(WmUx z)M}x>1jZe-+PG&MM(-Nu6s|LBTyT7JSMR4A_wPj|dT6#@g|6nn(bYr^A(q~9|G?rs zMSo^+z`}TxQH3%bmR}qtVf@1lP#glpz5SLIu}fiF{{Y09!sNgUnQz{>gO&oPOv~Vn zZGSRl-Jp05hy8B(@oGuEfU2BbEoMJpx_sZ=K#p1<_6l#*?(Jmgxi zSqi7h@jEYKUoY;?CZ87=Z>p6ccX080^=+W`S0_E?UXJI@qfYw`C)wF|sPKx??&MSo zkPrFwKxf{^UTOH-V(7QidkBqj(Du5!yDzp{J}SOcr7R|5np&yvi3Yzzz{wLzi9{zd zTqXSC?39&15|PTorbOv`?CYDMp|EVj=S?TQB@-R&(BR*CDS6j%_=ta-nxI~AjQ=W8 zMW?8c7^%AdaE3ZnUNe)?Uy5-HRev#Fh4*^>+~lqQ%>@9Cp46{=;KQI&!%frJ(J?}M z7uTG?)2H_m@0Q86caF|mtapaBdjDByC=`O|EQBVU@mWPn^Pb?uN78y?*D7Z#?gy+V*vONt9La>6iJFc&%_s zB0i6N`?Kk@87+Z3bebBU2{3zSr)kSKVpKWiu$hc?HP!MBXZfqYiM%M()*u2SuL03B zly>(b+O-gK4PWocH_ovu%MG0GD&cc}o|00vD6i<^T>d;=Fr~ z$RjJ&90P@=c0B<6`1Q{eimSJuWeTUCl@D5)uKsAPaxHwntmmNIZ;8P%&c>w^Z)X;A z@4=78#N@JXecDd(ABT-i74H;tC>%+>t2T=M3MA)b7k4gyk)6vQy^)O@@&Sr^9m08g zY<^$eL;%J)_Qrp05!5uezA*(itOS+_|@2TcB&@9^^tC?AY2toXyl zll$=Ay?Ka-5?#}Awi1m;v2c(SV#tb3E%V&Vb1$JJ4d5jG*|V>-dLsq7yjyY)NIspF zBBgYeO{O1VzGm-3eFzXO!6=Aad!#K=`_@&GtjEJ-Lx-n#N6j40ZY38NzZP}#Wfoca z+hGbitqdGN#PK7}zZ+}twM%kR`ftpb^#mO)EiF7F@!7G%j_uYC3rp6CJhBQjz#)OV z1y~#mt)K0A(*h})M7=7UyD0VUYXBQmuP+W!jn`56S|-Z$x$Z~h)`VVqFzbJV@zHZi zRBr0ymvq=|y}VA)^Heiv4?mO=t)v%|Vp!VEby^UD$hh@8U7;ViHd08ZGqS*G zdof4@VhhpbHOBx1*mj&BFdp{$8Me%TCb9KVw4ZonMPI%MGcr1FjAcxn>_1D%E{%vC^i6$w)-Ge5N#R?=_OF zu9^5%|GjU_%%5+!wcRVlN_g`ogSv(x_pgEQ`8OdmikBoFV}{CPuzvM|NT1xxdvIgPBDd}s$V-C zR2+Nb25E`u;gn+mAx73mQp;Xaqx`_slMhn#+bYmqo+6nuq~^(naM}2eADBa!Hw#m~ zdv98`!9>wPiQz-}`PEgeMw|W0PE|I|mN_#Edlr6-vTak0d}p|Dkagd?K(*kbmkE}0 z=4F2lHrM!2=UN0NOS_R)!B~*!@Wr~1*Qxsrxgwm3p~sKtF5?cp-~SH-WE*-C8VUa% ztoH>aatNYs+cs}T&Qo1KTlx1|#c9_YgQEG2?+Mm!Y5Ny(h|<5}Q{LQev?P^Hfy0Tb z?&39jdly&E?|1U<_FrRg@qF(Y`O-r&;>A9epGAW@Cfje`n7dI%=rpXur2AtdA@eu3 zx2OJyK=6V@6m;^PUMWVr_ro^Vo4RWr0HO$dae|@sv2o6e0w0xPEYfg#rM`Gy;el-% zjV}8_d~(tk&Ps$6Ox0s|_%zmj@)liTA0dRKwU-HMhqXKWp4~x+h*+JGLZ@ISx>Dy3 z>SL7WL-dZ?o*rX@mw#)+xD&V`KRVl4%FUa*^Qhd&a||v^u&?FbpqCY+)zj7e;Jqt^ zUdcEvL1*;!!@*Nj3&!H@|N5Yvd9N9qe&jvk-M||u`WMe#&po+pFCn}qK3>jXShd(Z zGB!E60)o;&?k6VfSvh$R9(;mgS!v4Yg-vk zGM%lcgALk*^BN3pbZfRiy)*NmictHt_TvdC!+wCQ(M$BEoQqCKSVy{*=k0yg%7C~y zI6;3n@#_n*yX>YdEB1woI?#iI`ULsl82v~PO;8gjyAfR(SsD3|Gz(|l55>{zbQ9Ea z_0IaEYc5}JZyzkxK(f@W$+d24t0;7!*QnV`aJgr#)M?8p@9K#cHj3m z$Wemw-nWO5_Zg8)Es5(PR7u7;{NU-m5AzCqXOpH{Gy-8-g5l||FOsv(rzP@9} z4&p%z@&mjn)g#zuz^zx<86Ta2#shkfU$rCq`R-LwIWI3`qn)j<>|jgp0~_j zrH}cje9bp@($JtnPdLb$4d}+BKe#B=M?JK`h&Da{8b+G27EC~Y?2BZXY zimgjxyHAm6ZX?76vicnOvP*(J@%Rov(9063C_g|bv%m89advjLp+!K4pNy6yFfMDh z3*egJ!4sPVZ_(mLA=6!PhjaUiLAFt(TQb#=tQsg|KTXe_z9K%-%O^c zvwC`f3u!5W6%%wWw)~KJN1#%(V~<=k+v%pKKp>y-&nnw=$va3Qmf~32?Qb1Eoup}BY`Iffigq-Tz9U>MAWtz3AVan z$zq6LJGj&H7`^3GxaN<3qmdAZ6gc)k0Z5~Rp99Wu)aT`{!#4nYveD9h6pTKF|HQ?0 z0S0*C6hb>c z6A0I-Y&bK#(3M7!;_qYg-mm*PoB1O zewKHGvubA1 z)ammYgm#CcIT!vB@CNE_lB*8DTujqQOF~|$M^Z(Q;>7Y zhd*ZDKbL4Gt8_@i$W){byr%U5|6fh$-_UYM-y2mf-Sh9cnVl2iiEUWADqkwhatGYx z)ttKXefya{+x)p2LcfmIpeEdXYlEcZ(U2r;&4(&zJl9=c-pg{w5JM>L-!)1vzwSMg zpY69hG^vj}iQc;Rt4FzAgcG~^^J$k4D?5AvMl6EDG*2!M^L9_=# zvWwA%>Bb})7Q9|obD!Y`kxKu?`u%hq(nDic1pgE0eQyJInDlsuX5@X1NB8c*5N?Tk zC#%~N%?uc6y?lAl%OvyMyVF!)I3GI!hTj-Em;eZiBgo#z1Q|P{I0~lqibJ4eEb<_B`p|8Az}Q|mv+x>(_AUX z;4fJ8@n{-2IQ)b(IHIH7DEqc#t*j2PO{m~O9%Onr{a653GdPMU<`D4ROHAq8QnCeD z3Od`Yj->XbQWFhq01BZKdQ%Bj!Xgz7JRzYDzR=&e-&H+WVg!grU35=h;Wz-7TD_lYi}tD(*jmOaAdF-#g)z`VeAf4yYPkCm7{Tn9)xXW5Vo7 z-ur+s`@Q1UZHZCUTP8f8CWH`n!pbF)xFf?7a8_Yd0&q!T=qAWJKwV}6I-8qCjvTpy zcUkEDv}LdC9)kFhOzN?N*pQe?Xj)+Ck1?@RB5yTSZuR|_Jq3spvnSc}xiw5d!$oXL zVZDsERZua*gnVWP+)}V4@EX*vW-6uX2r?JR$EXE+50E5sZhzk40Laz1gfw%{;=MZ@ z)b|r`nbuOc@*CsFiTMF9)hiNiS_^uFR;Qm`yXs@p#dsQm?7H7g8%1!p!H}@vJl5_nh`|eMl zM+$Z}*Gy^({<`=D-FH*2PWcjj0cIYr6ykN^K~nLQy<7iAVaD1lEJ5}bq+)XIx_!^I z*moG@kOr3ftsSmWcIydwENZ2sp`oFwT7&cjE!bF#b9cm3!@d%ab_qPW5PI{7(t;CO zf<=}dUgNAhq(|NP{r$i8-A&}USgXWv< zBOwBLgvbfSfD>@Kn^$i9zA7(V$9LmJhXX7vGU!ydgD6)%m|T+N}rpg2c}BbX+VVP35Zla*31e@6(5or>S^2Q(J~|iU{F1 z-FM_B=)kGKb4uhJh#egrZl=_8|C3q2O`=w9ZVsUz;oULc8ztL4lh;+_A{Ij5+LPq{ zp_5fh3x!>DG}TTokI?BJ2ICVSM&3~$1r!q*HBo54Ma3XfVBF+Q9n#h8CGbco^|jkW z9EbhOR?kSb2oKyU_T-|xxHL@W|EVqYPT+Gn&d2v8$+uY!DRLaAeMr5&GD>&d)g$zO zoe+0_Zi_-f^@@4Mb35Y5f34)gBdKUl;gMj4e-_n*%7dvXN8K2ibgQF;w6E?*)|KdqD}nv#@}`3lN2p zGpKp0Z+rF8ggnJMtp>hnRKkd0;G0|h3*RV(H5(F%A5B4*MLg>Mspoy|%2Yf9DQx#I zeq{}0j^N9SnscY(dFJHZ*TT5nbCLgZ0|WbK?-N`qjou^!r@`}1pHlfsJlbpcKG?|; z&-AcEj&(j1yaaFSO2(_iQ{rCXfoL`fD#g=6%x=66N(*ZL<_U;-#x>)dZ}t+4sExf4 z#hyJ20qdBjy7a5DoKl#Mt!=)et=)ogXkDrRvkTxagRC*|j;9U5sxvgKLtWW*`#)6V z1zv%$>+kKo5*{PqNTs*rJ5KjcP2}bq&r}5D6H3UBruw8AWKGhn{L8MWjMa(JE=0P; zjkZ;3$6m&oP1nc7yR43poh9tqarGzj=g%BHkVk)uA_VFGfplg8kM@uekY*Pe#2t&Sv0z<_3^zjN96^6O8rZEy@noEgxagm^;XJ1|58Yz zA9i zoF*gOg8eH370qKjz;bgD#@h%%A*ZuC;F+z%9ZtpkQS|xq=k1{gm~{Xfz^@tbMh+O* z+RD5w=# zIU%NSA0A>l@Ne?wLxjcko91)``Kx<*g614FWZ47h{pNb9+R3&811?8Q@M(>VORx)> zP=E=&Xcn%X^8fP{K^y-5^Cuc4wSwKXbu%T79b3c7iH@8}@5w7&nd)rL^W z0p$RB_bW3|H+e4*w^0)}&;Kg0On;21!U?x2!OFL#taNVt)!x?Q_cc8J{JtbFYnCG{ zlQateM?^%##YOSjwJr2x;f)F$s%K9dCRj0++`UR`{#@6y?1FXZkt%<`IltW*B)Ze( z>sEeq69Ts4w7YL)3yIQ-A6Xa*_GjgH#RWwCLm8AVdIphQd*!`1`jjd!!$)&J3h+X5 zk3TiY!k}|%mK^>6!X8FcVnu9zUBG2dJ5ISQO$3SAtY*|ZHIlP*d8$)nkoc37{&>>a z=Nt%nSj5zx@v$+$lVgSIXnf=2GFOVR++OrGK%R0g^Vb?6J=7#Jf#ATT}rDl5yzMNLf&(d{3jwGq5`LRifRcrJ$A_y2ntSLc|LA0MCm zT6wH2^u~>tfwnxGZ-WmS#H>iUe4xxgR_4X<7i>ut-m}6V+htxe@#)M}_3Izhx3+#7 zu)--j)qxzVtWhw2*3^i`g|9< zQ_tPei1K2sl8ty_$9JSHx%6^DPhVdj8W1u$dwJ6Sg`Ll2xL}|}Fn})4%sc>H4F2j_ zIrSf)2&$tsZ)Ro&RU*nuTK@@oNF~SkQJS#JOx5o2Ul)ec)%)P$qq|CPKH;v7tjWI= zCr-XxacPMI8~z%)6$y_YPnY_E*ofT^496E3P3dKw%yZUxo2+WY_Px9%YA>(3#A1N6 z*TBx_?EZ+v7R;k3ezV73MU1k^FuNc7`SV_E=u=)5b?@2P|2y@4OnNf}!6|i(FZn%Q z<7`y4DUY;tSFNMNkHsDZrRpQdlMr&!U(*lzUr88f`(B?C!hJfjZ1LicWDS1CFXp2R z)^-@H1XpNfob~UuYiu(4V?TY?m#zN%{?cFm=1uFybtNsqf&X{9WoHKqY{$MZc|S|> z&CVizMp{nr)92?uQf(j2JgyYhaF<&ld5&=v$E!rD_z~Iu5Z)M^Yzb%Vlv+N>kK7{0 z`+vxfhWeven_fxBfx9!kEqxmngW@a6Tfg`FEYMObg&DevvV_MG*Bp|c?5AGfWlbI8 zeRjpsR_Qi)LZ_FGJvgBlcIUtD@$3D8Hf1^?NLPOH zrdZKjm3-?LH!hM>)-pOxn8l_`R5Rh$WZMbtC#KeEbQ65?N~`;#ttWJ*yU7UW&#$&U z`JZ1HuY=rrs8RbTAqdC6S{&R3*X)d)2+PguXQ`f11~k z>B^NmHf{}F`9Y!m*fwkB_fT-y-S3$yb1|?^?yTHeD(p<>3n_lArmQ8npBVR?6R7vG z+|lMC)A@0`PNX2Ts1eo1I^g~$oIh2G& zXbO((y{QC5@uPEtt@z`hIpS{tVy{p2hva(K-Al4!xeQJ#$uG2&JtQp18I}4P08xPJ zYh+-+!pQi+TiE}Uc4(ynErn_E*AgQ^uNf*c{X~SAfv-nvO!rGl7NU7xQNg7MaxK_Y zgS&hM_QdN{p8)9t9YAMC$KMMJC(oQ2FXd=fAy$qqdfRIx`_{GPTHmc~+bfa(y@r+V zLSst4nNnB*+7Gv^x~i<_9>KpCTs4Se@o7JaB)oPX8Ak?g`uZP~exnLGq_XZUM2Ll_Mv}4z6(4*>VYg@Iu zRI#k-NA@|Su9Bxo+4K~}8E?PY;q5nSDkM2qT^oNS9Rh6!%@6X2(0dc@xWEp0Sig;6 zv`vT-FlxHO>QLsHnTx18BOeiwcFZn)x-VZ$jYmIT7_W2Yhkn*ye#YB48EUK#6VqpD z5Cw>=W00BO?RsVA9yRbL$ZT(<%O={Yq zMUI6Xq7lI#U2FCvV7gLl|9+x|79c|?Pa*{wAEQnRUgKlD{S2ggRMr9yPYOKr?d{D0 z=U9FAFyrla-gAnk4buP31xSAKq*;{KY$8XC^mE9AhB1Ku(}gO$3rkA{>_f=`4>f{J zX-tGz4n?0rTWWy$6wMx_+apfr0+nCUPIolcpZ&?xdo!=lPy70Z$_MwFPadm|2ip^! zL}^ILXJ-plT;{3nU3+?I+s^4~X~KE7rHhW=OL>PEss!4JI(JorgO$Ks39ZlhM zhru6=<_K33MZ+qVdoF{IHIjQOS3DIN1CVbtA(&}y7MWRQy?LXXs+pg>Q;_Fp!ULY3xbW&!Y#BXWRq=H9?nE<)`sT*%P3h<;1W zkZ7lbqUWj_+4HxUl4*DF^eI->8ya&j*`Fi59TZX;nwKwMk|L|I;V9jTK*9?&8BJ0H zGqW5W!5+C(-ur@LVhc#rXg{JBD6Y?c|8D?II85>hMrEL^S8vOx^EQDPq`6YqgI272 zUlo5`ytCJ8(Nd@! z^cT52`4#SN5$vW(UC#CS(1h2ng@xkJ-m0XdEH3%dM4`g=rjMw4he^}pV%foeA@bbd8 zaN={lVGus=*5%81fS_XeUvsJctSC005ohiY0&K+#q=tYd;RplKQqs%4S$?HBMZ)|0 zofoq6Q(ku|?@>3Ut=^am-&Sk#SO)?KmQql{OFIAd!ue~b`5EOgm`eLm?)O(^@U1YU z--7*pOz?Jsrl8BXj{tL?7OshOA7Ts7Q?xw8TzB!g3wb4-upsb?Vq~;(i2L8gyu=aL z`!+Ew`s^p`1fBD2s#+Oe7+YJZ)n9L40GDdv`$O%*V?)pso9-q2o74t;%~A$T^z4Pz3y>brRXK1M$Bf zP}JW7tK04E+ikJb`-HF!i_e;xP7iU}tMTVOih3s26~Jjm&}doR#kIv(F9vie(NEKgoUeRN;Qz}8$Rr2_Uozk(xXpCZ)K?@g!^-RwIxr$8KfbTnI z1V3kKE{X1eb={Gh?k$&Ty;ynJ1G(8NYJ(px$PcPA?2m)d9j1|-qDr93PDUqZX;Ve) z^PyEGQ*anlVg6s`NGY$?ZX?8hZLI#`Z^+L-&>8}$6vZe8iX>}a&+X|pV5a7dkIhXsfhkQ@~9Kr-EfV33$@ zY++G(v6+hiG;{0)e~!UvEx}l96Wy#195Mc^BY8mdzq=o6n!J+qU!$*1$4}!DLE5$X z_z7nrr|)WBybkdDTra#3OwM0|HYIRMn@aTgl{W2K&#T{;{PpU}XFWDzcO1XMC zT)K%#TW+D6Nt?*;c*Z30$yRE4=&<>A2CgV4rLnOwm?-9;$d<>^-;vdcw)`5b%D^EY z9ulw0mmhan-m*fs*VM>}$`Z3jedjddb#ljnA2_etW4_f8(8)LOOu%^clu1IB7raA< z_!Lnx>b=n14ayj58jyKthQ?wowor9{@-|b^Sho89Pr`z5nMs5O$+YQh#@~eL53pT;cEQ?!E|eY@>w&s3eG0U&c2u zX$F2nXadcpt*|U#BO)4_k(+y=$WA<7_O}4>joas{B!Ew(ca4}VxE_E5&DO>mct>NU z^t^JtVq4c7GlMx4rB8WVIbKg3DFxwS!HbbieW*&ZZ~I;*b_XTTMCDjIZ*2seKK%1A zF3x`GaCu(d{eI~y<9FBYpeX{vFrhaHJqespTo=oE%FSIw*@}%ET=QvQSLQ$^vyjcM&+edD(A)VP}Bzaf5~`w-yzv+6S)dc9h8EBN-x zuxugOuA2#duB@IZ00Xt+48Ox`_#&s$XpqP)=#@4(WB$M#e&GrVf5CEGD|&r-wz1JL z@pf345#l)p_Ksye6i+p6`Y4`?k{j{}Sd$`vx~z-rx%C7d1;7*p90W}PCa7)b?9nDg z4ADi*kQRtO1$3dYUMHmQTcy}0!^T_c3c`rn66@XB$kW8I$n)%G33UPM?lKl$QJiSv z4^KUZr8GV<77}c<$fCv*Fi3*_MgoYM;Nm(ps=Jay&*CUuLkKCloc%v7kWnw6%{&MG zHkKs@w!9v;s|h^nKnv#gzMD0;;%qLm-zzop={F*3 zeQ5W9UblDm4{sYyA?JBBRH63Z*sn>)_fPEAc2+8=9~>NXA2%SFH15W3<{xnpNE)iG#biJ3 zRJ6AjtX#S$DQr=ZILFxc0miIC3Jm$bk({{n72hAd+V@r6=g;-|RBCGi^d|P$JUv_O zeHKiktvlOlaa>&&WvDW@)nR%WJn>dwz{gjBnes`i9~SQ(oIZwc?^Ew%yp1kUx^Ct( z-Af)G9(aGnLXAg!@HaFCrUomogB+uqsd?ti3lvBfQSQB;xmR!NZ&+6;B{sJ^+fG*J zpWa6%8D7q8eHpLF_B0=16^$}yfk*4}g_?r*HEfT$1qU0(Lv3LUrSazuRB+H@0G{Y> z`e6S;nWo^fyd1H|&hds(q^WMtv=@7%bKNTaxp@;tJlADg97cJR-U}wT1HWo!uwb%K z%6WJ^%sh?;Cev)D#Wr3!Ad;xS$igCtA%Nib z@O^gijJ|4^vYRA#+{x_RZ1<-S-pF6CiLEZgd;*p@LepyQ&3RQ1in*=8i`{#e=6@B% z9aQJ6Jj#G(oEB|cQrBOyEy7-=$EXsJ+29xYj3&kFpj`{`HV%&z*{CL+SGc z3m_~d?_nAy^ef1dTCvvLHV#PVaDe+O=?Zz?`{ zibjhlm}!3Z-(TjraiU?t_%6q>MaWH=2 zosU2?mvm&aP~RUyeqz&ulLq`O((b=jfYq>lTIK zlRKD?x~(#jU6+hmvGs-eu|fc>o}Nc3>mHnX?&jteIbHXXx<)cCyB2poxpbB5dSR~5 z8K&DRMVuc+@AgME?{uc)KHm4fax%pA#Z%JJ+8{07UAO0#dqGT9UpWB%hQD~ZAM&=O zcij>vJf~8KvaM)v^X6^7*5UaaYi<250xP7a9S*)_UqOzBp7_4&=Mlo82&g~mi{5g&RB4MX(zs(c z^(UA9pxs<=;UMuCZ~T`JkNQb%?Mjcy2OD<4q43&j*wQzD7(BzI8#L)ZTL7JYjU1T8 z2H$G8)te4kRkTw*bp!mNBf>51s<_qK-(QXbj>U$SLK!U34LdX>(V3}<1Df>g*|Sd; z#}_~GfkWAm`x3x5QK_}$?^TH5o>U?BgE3M$VZ3eh_f90IKXC*dP>GUR_I1)z`+oBK z@UWEx`;jA=+T1dJF<~0dpK2dZ?X>W&I?W;L1z`=(uGdyOeGU@{s}=yvFuobZck1QU zM$13L>Q`gJj;GZ>oVZfQGB4kv^Atln@OAIbYZm&>`N%rB{uKUxZ#6v`j5w)~cf-Afe_uJ6a{`%+Cd(E?6L(&==pe$YJ|1_>hsq-&1TE)Vg|^ z-Y)OlZ-#y9Px_XfTDjRI*4&q8qrQL8l9E7ZTuM=qq%L^!PS&6Cl+~kS)SehigF;KZ zh%hxoiGc0kLrs03|A3T~)PCYeeT!@f5?Dm06pDFCryl8ajdJs-lNmn|!jN;9&%Fi^ z7oo<4QQMFQ4*QeN{1_e8n~AnZmV|0RXm?M4zdS~gQacWufIFpHTIR9@w-NM|u3`w* zPasvutHP3xmSDtlGV1sANyp76p_Dl$>S^kCa;XUfj%WL4Y$(?=(p3)bI^g>;K8abH z8suJCj|m+~G7Krf{U8GaBz1LlS?8kpLr`N}B2IKkIuXmIsU>2Pi%JrwXQECzesey* zD|3#))YR0WcQpGhe@zL(Yn5;QiaP%veEk4X-9PYE28ge5K_hhy4OswfmgPPw)5$-I ziK(?tCM6?-W(wyyc7mX`rtg}$B-z-QYJz0Tk>;>mDqL;)v83(KryXgUp1!`*p1<3S z-t7LAuB9ltTi275lh3GNbVJU2w(qIx9Vpl8cX$xpWuOj0)B!?BWNg7^tiWi}kM>N1 ztUTKAED*4#YeqkBsmcK8=I2+z#6QJL-L5-z(Wr#4h$NSm`Vogd|9$X{W8*KXEHVj} zm2J%09)THL3~PT{muKRFNC`UZyH56BQjk6Kj7#aVncBA<6oomY}`y^*lTb>B(G-W?8f zQc^|0)$r7^9gl`O6FzOFNN(DT+`k1jdrw8upXFUqO5`olgy&?W~j3L~% zAF2wX%coJpI2)H-To?|O+N?K!@$F46ljJ*NV`2;z4i60}LJ_XG*vMnoDYzKly>$E< z(#45`kLvNR{kcAW2`D8T?L6`GkMw4YGLMRi2g=c_8*ax%Jm!b~F^-NB2wk;UE;m9se9Bl(VOu)I=kSO z4k?t^Hr(7#pt`GKe~e(wuN$@h(#7L>&sv1MSIjqNEu^k(tRg{tD@Q{h(DTN83Dpx| zm^^tU*;+Mr^c^#sCKm%kYTG12+foYao74Hm!l6$Oo}KXv4~jtQtrDB!8mBt8BVNa} z`w2C<0l>1M)KD%+Xe_L(s2j7iD=D-E^8DVEf2piOcUFyJ>1^iV1;1l43W3a|1VYd` ze$OjsMZf+Yg0zrdG}P0A5Oj{2Cl^uyrqB zEDMz-9-ZghfV_~95U>_3|L3|;FoT}EEwl~guS$TSk)3_lOcpY&;F?RPpNUWlUWavY zheJR>fU04t?I(1i@qBrZycQU9?%sXi9StG<&kX_17tLLiQ7=5)M3%nk8plt(BoL~O zJ#MXW{oMF$o`dF?cAoG=_C&bpebW7@VfMIhOtj%lKb&AD*Bcr&b_v{fDHdYsi zbVYf;!XpaLh&N=bq#p$}l(krc3#aenHzCt!k)qD2l~<0&J(po(7utO-`UL5E@y847 zn|GQN3!V?I=x{eGk`UUJ79-0x+s*8Ga!~k^qEgt{j<3~PTUJes;tvd14*KFb3 zG1NC}baeKVsc&a#EuAht#MyU(j7)GasQEhLI@Fbj(cx&7r6_$1Rtm!LA#G#JaD)AH%TtsIpp9fKWKK71 z{cfO>=nCcV?~Fud4r#sL6(5ln*^N!Vs@%Fd=!3ZMT94MORo9sP(v<_NLIq)IZBGwD z`SMAK`*|aU4<@otU{zi#}Vrl6FRopWg+H?Bun zfLSp4cAt4_$K^@8w`d(jJ=5wN=qFZkr zr259ChS2_{9K8a{N(u^W<63cg-CYZ!8S}e>tt_aL4_Y*=zhm7sYD_IZQHRoC>DQPQ zq>|6xS_yI#5|?(1E_TtG~`0&IJcR7u%dS9() zl5F}wQPt0i&WiY)3fmgBd+P<3oRWT4#XY} z{gW*Muk}?_F89(#YJ}gz+(O)BOuapZ&C!^xInUXxZE4Z=JbK~Qi2TLtXB8XtxdJk< zolJuZIjJMG7_4a3i4F1>o36BcdzVDCv@F`r`pG;L+Vt+(fn)bu!f|gBl@VIAsb{3E zhAS3Ja7D|8v2fXrxL#WF3~SWG)jrGfjjqn+!MxneyL2UTYKA) zcmc~lzt;iT^sV;Axe_S<7Fy8!va{Ao7mnQ1ef4#seT##d@{rzwuQ=6{4l)v{zpG3O zaa^5}sixpvcp5U&NJWHmB*lq%sSFWi@ROA@D zAAaK4E3wD=?$S6zt19^8sdSp%+&q(wC(6(C;}k{m*V&6}w$$j}I+hFg(V|}8Xz25! zpN~}1FU4qqDUW6%%`?)tk?vRxzMz9IU{eb%>Q5Qf`iWW??pOYqOqDqx%anIPWkbRs zOW%!NV-iX6sz8DbwMSX5;?o$_Yp3a@qKxG=iVbIzY7J)9qy5zQtQ=}*Xtb9C2t{Rj zdU|(^kn(t-lWKZz#}&m#yRpT;ypfL40-YS9CQe@+yu9-H-(Hmsp48wARym0`C)V#* z9vT`l3Mb1HxL#9y=%ljY3KEGUNmt@{z|H*=D{1C~yu(-`wALlY?%N_kh2wMbng)b; zN|0NoHaZ}L0?VHJ;O-_MZ#}R{hBcLbV?TZj1Ip3R(13^nBGNar-KK%~M)ZXv(`?GJ zP=Fytb0PShuC~r3yymzUPSx!--LR9KKi+Q-_HJeb1-i&GD-_0>fB#_3D!;L*sStnv zPxCu=_7=rx5x@R2WIyryduSJBdR4mi=<#IJH(!X-dI^&O}Xga zG&D54iI!j@A|6d1J!e~aIvgRAVxNxx@r^Xs6to>*g)Z!g6GCvJ8e1 z(ri*vMnB~ujWdn|$HBy8!~l2*;m2iSu3fuun(y5Iu%Ys9}^;G=pO?i0_2EoyoUHXb6%%5zd)M)&p+7EFd zDP=o{|MlHJ^;0L9XCuS+nQgk3%)2Fh^j#;vBkj8O(WRxv7OCDR8c$F8$Cb*|zl|IbG4Qx?#6cASJg(cDIWp*hX@Bp;S@xKnMsE`dubUgrXcb749 zb$y83KtNhL=7+ci5^3boL_;DYBPzlCNS8B(dUTfahpRS90hz=~Dc0P`W*W_y&wlj&i@*HBj;M95 zU2~f$$zVOKBgVlB#Yieg{m9%18*6Jz)<8D3@JEjx2~(Ga!Zp;^mdnxS|Au@EjG1A2 zvx{}j$mm@tZurrH=6#elF#Y#LoagDrGC;J*z>ONp54pLC9^X@e^2AFndIbTxbrD*h z))7+9$VT;M-6AU8A!C5UecIdGV0a4%eqeZ|n_-2{ANh;9C!*PtqVW!b%WlVo1;fUe zW!&v^g%*D)USozr^=;Ya3;Nhi@0D;-Wc{i{&_bA`4e+ABJXBdlbu~A~#TVP2Zp2qG z)gE+Tk!uKq8qp>m;af{#;8gy2suSK25iB5{DktY&cM5eLH62?XS`KOOE71CukWOq4 z(x%`3_bsud!RPNm1b#1nqfr;lrTzv`bqxfHxWP0K0oO7 za@$e}{<{N4!jo1$B~gg@f_TSz;^zPP;rjBBhXR^27Hu%q#j&)FNK5_{S<43v(_^_H zrzjGU&T^<{SmBqJhvM?Hf&!XrI3oy|)0l9XT9i|Xn-#*a#sgP0_^g%#5wB8#9mK`1 zi_vOiWMXQA*aak2p+ra>x}$UdHoA56N1>?#9E(-V_G+&ZF3~~m!M|Li4fUZzwYUs^ zF)crQRTyMtg^K4yB_$2q+3`yftpDq}zznw!i>z)$LGXVjVb)5xY|{BPzs%XMYbSij z@B+C_lS}7utAq?DK*B;ON&)@rX&%~*uPb@4XByI2yof)tg#o#M=DE%h(A^&dOrzpj$FLjl5V zFa-ntAdDA!El@JWHitF-f4WBak3MjV8&=gSovB`cB00x+o{+0O~y7(_#yJMte+vQ#5|1N}vr zo{eqz!Ai$00GfnsYg!IA6;DD}R~J~@h7u}?^(d5GRE3NGv`#%hC+$pzvU_Msn>5e5 z+4SxIwRuh=@<*xpBlNdh3TbJ;yeJy4kwr~A<9n?(`sKfXED^9joU4bym>(Vj2zy_V z;~7s>(~g!?@vj0(aB0h45-I8Fe!pEIRD_erKIixAR1=T~0Y~iRi4+hM%K^~`Gy^eT zVUW$y7LN8bv7NWb8WjjtkQ*(nQec2W;+}?luz1 z|9!SqDZaCnF7n#->*(;4N2Wn2MJrT-hMjgc;{cI3{533?oSI@Z^FIRb2c%4(@iQ+b z3yy2e?GKNPin@e=0PgPGx!vE8Y%>AXxOKtJ({mUaw?T}8pr%EIg`vd}qXe3u?F#mu zx3_m-=Hn^6XOY;oMC`UxJ;MNlpIYwNfuT^oFh9G?sihA3V5<81C)sb965F7;pV<9> zPqIt}kcb@6)Kr;}g;!7q(Dqt1UfGcSBLF$bx*t#mRtK575tLC4GEJw6QPR)7a}mWU zy915DPzNLT80@r?^(LfCTy$g+|1$<#KB&J=(2=5r8AlJS9cuM56`^2EFG4%T`F#ov zO*LkNB{xuPr^d&5VP0?mLU?7FpUf5H{{_d*E*BzE_6M4jWTH#Q|70IQB03Cc4Oy-^e;3|aT z`<**G)xt}{|INMyLerZk0k@?mu?@A1$z}`Q1VBs;sJgb?pnw2$;2%>Q(;;|MmZ+|%GKVm@(c;C0Gx|r- zpa|~eSq^kj{`SJs#oU$nrkbP{wG_-%lY{0FifK3}3V_8>8`=?qYNiy(EKqj(`sK@= z)8AqcsmSIiEgSIP;m2i*dW4K}v!XIWI8e0aL8;ln@^yH45l}f@Jv5N+oSkY_?|h7J zQ``V5;bTk_iKyhlhWNz(l(dtIZMU3#-L~;!ZnD*@(d$IK{QPjBZr!>C(YuHU&f?lx z6k8ya6do2N#Neif9aonjsO3D63F^@he$l)mm)g)r%mM+OvMIxa znn}Dj#_o;?+Y~5rA#4igfQ_M%_C$R`8E8D2pHfqBPz@w1&y9X5Lw7ZA^D1nWM)0?P zpqdJ!1*|GCbD!KAO=2PgA(K%J5x0GqD>L33z zxUxoCio2i1vh9Y_3kK8~O1!PE9>nK|1_Vrxlv1PK7<)KA0_ptYG+q4MBF8pZEQkmj z>~t)7-b05%QJD~-|}2Ozr>(7x_XSat9?>b{67LS!t_h$8q1?7h^)XI z6(Xp|WEIUgB$evzXoQ_TCG!Ds7D|U5APEvP0Sol-b)<9j`Lu!ELC_W$xiEC~zD_E% z2MT=`7f`!&x1fo$2g zZapHBfQn=35&w4Di8PfYz~>@s4)IhPpy1#42w6wl=Ngwc>ut$34z|%Ug@ci=bCB}V zGP+m#XPENH%!7DI=7nL)o&U1kg*FW&Z{^4Ed*JG|o@<2iIi}Jbn0Dh`#={7J{4Zfg z`!OJMDv%3Xiq1)-BGlU?tX{6ps~*I0g8C7~Gu=B3WEZUv{iE1caOOv*dXhH;L}PV$ zP)C1mJ{;Seb{h&cz%Z5JasIuA^Jfm0ja%DD6Rxp&4H{_&T3lx)`hXztZ{Hq6;Qy^T zgs9fCb|I7^F%1`bBg;n|od}3Dpjw9W-IS2Ns@vVjKR4GG8Vy6d<&UdoqwtzWl} z*6g>JSeklnzO8?Tg!tTT2{;HhZfvgC&tJFZcsVCWlse`pK7g>+p&P>N0s?PmEQ3|V zP$z=yZS@`b_Lu|zx95G5o1P9L&<>4hfRl*|2q@f;nyRd-;ujEr!^kioCnJ+Y$rEJ< z7+xjGLMTK;sb6C5`UQ9m$*!kpy#LqeuH(0`zZ$fq^du&nH-59H=MNY&@LTII87&*+ ze{2O}3ued7sqsZ$n&c$5$lvoMr(H*1Q*s1`gfJ4(Hi=|`oacVrUw~w!ItlBw1)iI; zZQXh`NoEeZ6aSXbMhZffZwIEaz*lpF4g*SU@UD+8Cv|Oi{8+VT{X%+v{?8_h*zrIj z?{Ajv$#qCZXG>wB9Dyugz{Ad+jIe-^%H*86jXUK=Omj3wYdJmK=!E@54DdnyU3t?N z+HBhI#n=Fo139&ij;e*njs*T!{H&-9ctP3Ew0V+!(g<0WlFp2{)Z0}n`<^RrB|05no1&%~ABGBOfpI8;Y ztJsPmIfTd`3Xb{`+b{*lAC9G-D2&-TC?~_^AnwDXCylkD+5$DCI2? zP(CpFJUq-sOA8W&OIHO=V!geq4>BE!05=r(S!dmcujA~O>bue@XG+`L6nxM6*v6}72Zt0G{dZq(ACH_&Y&}2 zpZ}J2?B5?w7!aye;Myn1C!=01*2P}Ra&tdqw}>zwybyR^Q6iQVBmTbB0;KBBKs@kI zN{Co7)1bM35(SAz|9+H?-VD8q-3U)dWT>cq5JO#1JH^X|eO*V0-D2B{9;XZS_TmN} ze!tECk-|Ozkp!3%@xkz@oNhsE0D#e$LSTBR`dM4wTgLQCF2Vky9RIS$&PCHm_TQq= z<>LjDihdVHv)>N>-@GKZp11c5Qh=VfF(*I2Tr;&Fz5nZX^40ZEV&VbXu#oXWK1%?4VOXb}sW;xp581MW9%C3PR8vH)TDCAY-Q7 zY(tb0|A$E=)~DpRl~2AB!9OB#db3LsC?HkE5d|b5*@U68x<++kXTG1V+VTx8|H=`f z%nVWl@b72u*Z=oN!)_NA7BcNRF7PyP$CA4hB2u^m2k_wO@Zk_Wg0?$>uLAPBKm8LX zgQz+!Sw-TTT-Y<8X;rWzwmuxJ^7ZDfaMk~`8gWP_5Gw@jj91T3-u!zo*Btv%pY|U> zLu4UKZP}k|@n^!lY+$s0s`FidlI~NdR#E;{a`N&}utDf|C^<^6eWJg47!paa`tTGF zP-8}-vYt(J8qC7)U{;GXlm}p9J8UGY%e4`iWH^MJoVGQC`l@7Ouafw_R4&B*UONRae!WJxVM_ z17`)iR(E!NXx8D%APT<8Y=6}8PGbC%+4L1+HVFR-@ydz{mu^{46rX9eF(giT(-AeC z*C;Nv8ejdgs<&_FphTGA>ke*@>G9(`XKF*AJi)}FYgG$eIwZ^`5Z;XY-Uko{`4{Lv zt|v>w^>-rc2ljxee=zsyXoCa6VfXHj6j`uFyBwPYqUU|q=jC*>L~evl1Wn1a)%PfB z3(&ETIyqExN1mC10q^8}8ukYN=`1`gwgl4Y6Qi45T(YZ%TrnU=9@m4i`Mym$Nf>hr zkB^NUu=AcehEPMGC%EdITjiTKn11OW7)Xn|Mt;$dqRkn7aCJ>>Eer(G=I~x60gBV) z`UiO9ALZl(RDf;X-fp6|0d&9dsi`}%o|!2t=}#arCYV;p?Fpm_1AUF39KU^Xw^frS z$lRE(VB>qM$sMiyLv`_`=(8f;1i^9>hF=I5mH}YmFGIo%5Hx5`6szM zKPomac6EQ*@QQlNY{9upnitiULJ#7$K2c#HgzRN-uA~P#7FY_`4^N z*Y4;rtv}VMhj#djpnZXEo_PyJeSnqZEG?L`W;Z9#91`xAv5>mdB-UAE}%sNnJp#N!bIsSRx4LHf~ z=a69=^yT&n;{p|(c`xML(0~kwo#E4Hlk`T`-9AR{7bM;R!K(1Sap%r)o6R>*JVS2i z0orWZ-OXTVPBG^Tt5Vs?RNCQjRdIOx^;>jix#!U&OjS#a0 z$?fsU9?hw4q#K}Qo4Iaob9{z&Sq!L|nV!Zl2R#W}oI^q5$HKm=Sy0DEsrZ4P+jZzY zde~WjB?s8&O=#ycPr?Wc6qiA!eYJs64(O7=E}{57HCAlR&mUjs)BYR+&kxu)Fo^>o z@|#Y@EVB1m7I$yo7PSeS-tOL_f;Qv@)mhBC#q}TB4Kbf7%!_)Y3kocHl)n*|ONiNw zTbz!{^iw+HYzVpA$lU+Nroz#WY9$?<)N7(Q2&;?h(bCbk@Sz>G(cGrz+fBh^Wy z&8s71FIHO5;4WH5u}uYQW`6#ZgXZ;Wi>uK^mtJ|>uWq3Di5ZXwkx!gF1EhFFWoji zyx}qUY}K}4M?45s9e3vSEp)>egYBPa{$2n(NMfcKe*sjKcj4z zXI)%r9`kZrUb>8ljt&S0k{%t+pXlMiE-E^Ea*wK4Wi*194LdT|`yvx84yfm^=fQoygn>*$dqL4%w*-g}|F3$BRRF}ti$ho2J7Uk3!BNOX182rtVQ!WJ$$==3QPrKpDlih;uu!~ za6lSDb6?!KO0;sOgL~mp(9&|9_BG9S5u^x~SQdd{z zEZE58dV7E?4mKtHS%qVxS-=SOqk1pw?*UafM(tBWlA`vLP7nT;wBdLdr$JdD?lcj8hOg88%t? zT=Rz;fm?KH7g9dMf?9v@K{*-%(QjF?Yyw2#KFFjWN)QuRMFs@(F$9a6+EeFn?y8%M zaTsuVPc4Gz|18>y>E%e_Z;Bt&Y4m~#1Q?8<2a5Uq*p5l7&}P$s{R&wDP=dc>WaKUp z_ZCLD3JiquNBOG%vvzluWWhLiX46RZ*AAX~oRY%lp{1wy>en7wI_Ri5zNQLcl{fA? z4~Xue$x6U?Z>u*{HEgA*_T3iF^?c@gx)T}EJ`yBUlt0WeRF7>CBh~|K63`^l`s4a^ z+&mEhEETRby~2j}S%YAsVD6lHk^>q@@QAzIBrmBi1tO#ya8P2e%F3XnYHMc)p?+i~ zVE6~E02FUS4qti7`_#HC-xR{ox@_H;rmqaOxhHs-B2rR6i=tue9NY5<>oE)uiBZ9L zJb|l_wxFA9zcNruw@gVHr}e(RzSm>SQajJh27hRGg;R#d-Ijp1jci?99F!r85NC71 zL}7kYx|Cu#nrOH@t}g8bMQ$#aK-5}uF8hv_ZDLHuXPe|Yl-2NXb5m^3`u4p!i_Ost z^+)}qbqL=u6g1s1)E_gK?1VQv6>nt8t4A((nBN?l=<4J?;FmZlg2r9Vrg~+NI0H=y zM6e_mG}X5Mjv$ky(~U~&G$~8;(K;!D+58r7BZ8(SCk~m9s6k>(95FL&F2B;+8|C4a z+2Q0n-s+Z@Bq9Zuyf^$z#nXqF8AARPU#{)#EmOt9n}Ff~ctvlLv6EnBF#oZ<28G^+ zIVJZN%_iRXI&)?m^NL#oSP64eQ-Qk}RR_Xac(dlhRQm}c%-FWt#K<@bb_r`XkrZv- zhTa*1h;qb?hRL2+yiU_TZoY1>Z2W~-OWHT5G3x#7)No^G=VJA)&N-Ou`C8uvh*#Yi zcu`kZw}hZP{Pxg>R$Xb_S?u(fbyFCs1Mc~EVZ3fx1R-EU2S%jtseP)d3J47#PQ@f< zOGI?t<-8g zAc8vq;3=N!n>nIc+Sc|Ph$}5-5&`?6qKrWR@D6lZDe1TeKQi3IV>WL*fUr$g4HmhL z2(-(uZfS_yvkImXp8}rY&clzo00SlTr=>cXQk2C_H&uG-Jb^HH@{ZlBWSkOF6+L)c zCKoM{Xc$A*@W2q31OqVACfC=0{$4Pw&WA`|8wzyc+y{^;H)dPy1%3s(6~bu3^ut#Y zNym$ru3}4!NY~LK$!N;66ph)sAn1Q-Y1QeN>=h=k?LS?ldCmsT z7V_U0L$|uEhF}AoTu|*2&_t+;>SfwH&wBVZoK^F(*%G^YQK(Qh|jxRX)FzZz=HG~4ywY9tnC{V&IP9fntU3_jH&e)J+Y-FStmJhofJqU;H zKtQ8QP0|)K$T7AmW;!S7-aTyNox65L`$K^aNb|dV*Q2*J5pv`qcB3T(lOR7YFE7tB zCofC?_hVeRHkL#LFQiYOFD(2fsP+!Q@$1)%aF=5jG1d9n-7XYvzkS7LK>+)84Pe{@ z=Q^xKE1&eTg8l|MZ=W5Qq;M_@M*G#!iEBdteEwX^_gH=LoEK&ek(i4;hs~$C@xlzMIyOTmUtHWhNpV#F8Fh)g@08- zJ^n3KmqLIE(cy@Op|>}s^L z^zn@jET##Ld;hjVbsk2`AWUu>A{n5h0el#bQye|AKcEGx9L<+hYWsdR5dIX_>uhsetCie0PVO+#I4+oKTcbVO1E& zZ)or^a`&UXO2jqq^52bDokvRuIGgDFX$DNSIGN@9@GCl~_MMx1Sk8Ks9Kc-4_co%; zfNnmJ3dRHjWk69PSQ2CMd4fo8>ycwMG{8aJqDr-p`ukpEyGm5iNO1y~32i-m3Ji<~ zlvS8N(orDBjLL@ZxGwt72hO!4=mZ#-={1PVsI@cYuFsg-^b3$lLgY;Vv>oJ$DC0(H z0lk~b2s$}si=^!o|F)`Obg(w(OA8@@I=1=;ctOrp1jPWyH!7JUAEkQ%*#H!Rzi$-=n1c3QqpLBJ&P=lHn8<-)E;sLDxHOv4ZR~t!`go^Z z6YDp#uvD`yws$TVAR)gCoj+D-H!fL;lixJT&t{qa{V`PpsE2c{B)RyZbrU1ouCtsu zeHv7;n}>w;zavs+m2!!j>qbpN_3Gvq4_}f0K*~l)$tXVtN`cTea3>y$lN+?{rd~i5 z-yZ42w`6n(OnT2F{)%tzZ{>8zoxukUp}Djy0;8xDrdo~?)He=z2;6`qqQ>_2S@2$9 z?J#tnJE0kYI+jM_P&e=nWiUAqa{2S2a)p=x`~W~QEk$Q#pLyz-nxZ?m+;r|^``>N) z7>73_B`LDhhnt?}Eab<3JclNqg?RC5{&-kmcKD!9L+s&0w`KGj$3eiGK-&Cny}X
      nI4t5DdE^hf6NB!|>oHT;T zjfERE>vqg|(TASe{#)7Er|a+am2iIO!Ub~zNkL?>bf$89X{=w!E4+&s{!sM&1zm!} zI*omApM2FR{%Uvoh?D54U&I*e6>U1)Y& z8Aao}eQyiZgni03(RUIm&lXf|&E>hXzb;HzRPoJ}tIXt=Ij>>SJ2Ca<9LZJ=a_nih zvrMkHU7H!wa~Im$`zU(=L+>Ga?bOe?`i#U%O~>xln`ZRe9fg z&Dmnh*c+KMm=nN3R#iC4qL%LTRCL=ukHy(?EB}aNjVrSbUP_jJT)lp8pF6IIHFND! za~SXyUXl|oAn=CC^S3>Ga^*X(S>U(&05j&w^1hLMcJo`QPwBT9l#V^gD^BrZQ6_Qx zj*8bGSzB)_Q-VBa?b^T(Lj&d;FBcZd$#k$aIx4y`>!m((D!~M&E3+Q)(DaQeFXrPH zrZ_Ae&M&W#bfb;gK2Us{S4!1%3gX)V814Or&@;AHM?il$g_rXCk^4E0J#VjXt?PT_ z)lW75qd!bId5tgU&@ta~R=?u@D!NlR&JsmkAv~TZtCD@KG;fFmI?gNT^7pCoY!_ww zFE0I85WGJUp({z4aq-<8n%nq#a)nP#Y@3nG3~tp%)d2DNMZqVD_xdVG$7@hb$(uds z++mKK&Bt3yWSIpY!+)%ULDauznebw!A?~yM_4M(2VczQ_bq6lm7|Z|5R^Tf>R1}~| z@H(4*=C@A!$WOa{JLzf&#@1e3-`Gt|JThKMld)Zr8z4*eVcVsc9z!0q;9VcNAuS+w z-phAYT~w_81aAmk&r|9`p|76lSKnPf`>NqA z=iI=r6ld@FT0Dm#{JMg+dD56dy=~z1Cd&fKErCQ+fk5ThP8xeLo`xB_UM}g}{(-Rh zrOkKl6fD+Sa_kDsnHuDY<4tcnok!z5zJBSZkkJ!~L*1{$_BX7~=1UO*7Xz=o8Zd7A zB~A_}NLzOU^_cv$?cMqCo%3B^`e8AkcI2pj#`$0FFrajD0kV>)JzbNazlBvQ* z@hc5BMTJQgIk>>$QWK|;kPI}2^$iURi;Lfs<4AHZ=dv|tWdKY^rHAj>!oRIYWwKR- zGtlGRq~eM?#RS1i`1Q48Cn*FfMk=1#)3kaqQ!fQ-Y-77HH*@0M4D$)KFs`0yq3g42 zU(D7H2)FUqdPT2r2_9eHW_bL@=x$*THQzPMiHA=MT#g8R+bX1W@c!nb{w}Be;#r=) zW<~OY)-32;lp__yF0{0?rE_P8HvTI0ex2M+DQXc>JY;LvQ3@?5Jlx4!B)AEc4aITq zqiy~Q8-f@+)4z*z_~U6&_cWQ6m@;orFPuNMR3WtIY4hc`ywQuY-ov$Dwy9MJ@4jYT zGe)%8B(}Kqj*)_|8-&2|4>{I&z=w8KkF{belS)D^Pa6`Gl!A*EfG{iMqV7)_w8<+ied!x^MKG z*4d-Kq(Zx;%O3h?}!SoH@mF8tde;Hs>p8bbOxW zU@Q?eShO~EC#@$5a0?A>j=kX~ercx%WeQ4dQe_pNonu}!fL0SGp!-_s;1v1=#(D*@ayVY8bavN<~pSgzU#-srgvdrl-US~zJsr;>CUJxFpbA=f@Mb!_zB8fBW zMWJ5$J4yTby(haER52YBLuJ5!p^)6MIxq-7TSCGH6jH~tT^<-s6_qbbQ5;tpFq@Oz z;K?CjT)?Dw(3+g}{1^VVH*OM`|LA-7ZGKH)Ij@0-fc^Gkl}y?Mp+{~0=FTH@v4UsE z#63@vin#yOr8@M)+e5$Pe81<=qN5a?RD^5W!d5Yo@e(W(3HqA@DTz;RT)y=q=P4SeUy@@|9S+qc=0r%NQCJG<>-F&QtAL~($3F#= z?j{Crb&ozjQH(DCMe!d6ZTyRm!!{%|%v(^0EGINdb<)&NfaU^4ftlRuE{NgUS5fI? z7$i#VzNQc_NO^M7nDe3dT5_$mul%*M8;i_5B(JQAnLU#Lkuz8I-#rQz(44Amc49Q5+3YG`z9dMq)9SRZ9@%Dx1C#Hdik(+!d0y7z&d8n z1_uH?W7@#6PM73W+`|sV`N7_uiP(x>+ zKktp1Jvce>;(FMzweCFSpqljkS`TwRydxZ2|BhvoIkwYAJ`hmn+~M>y39!4!DeZvq%xF=|hh^_9KX1m?Wz%9r>|+NFzk>v%Kd}nZ%ze z=G{Sia`wii82{=yGETjxoS7<%;mwwP0((F+(5>vVZypfhjUeJDhQER)>i=2n5bA+By&Q*lz;e#b>g zTP;iA_a_`qls@G%H9f66%wGA9=~+9=h_#m0#^<3W-KKnKl`;zVr)d2U^V_PT8MA55 z_X=}#9q$?WcAM`?F)H^4X}{Bn_h=m?;Am=YlpLrK&_xR;)e=Sdf&1s0-dRfmZE$&Q zS=stZW&kX&Z*bg6`28uf#oO_p{<=dt24%cP;VO^%;-KnGo!)2%zvlb?OuvhOKNlAl zCpwGupIyJhk@GEwu9oHMuC}VJiodPV%4kqxjX6Vb?aLZ$97=gyht|(qjjFEFxP6(7 z$=NV3#6YLCI?P>&)JVRgJ7We`0VJt1+{A!+fUhuc-S8ij?spiY-728}F%^N9xnVHw z*&eY79#{0S+orM>`q?Yz1rFHWh;ERF;J|0U<(P)ZOEwvm5m4QGc{ga=t>d$9$lOLoF=HrfnJj^z{ zDyqt`Y-BGJ+}ubw&ey}T{j*XuSs_!NiuKpiUW&Z8?`4)*ib`q3Y|5ULBUssP(wo~e zuje7D++Z{2eV=C1>N~XtmBII*G~6Sp<3DR((zRvFmZ0wp7ii9GkQ<@gm54VprZmb8Y;Gj>)&`?j;4s*hsP=DTwV zovCbX*=aQ=@{@trv^s67<*AMl&d_(6ncPx7<3<3DIUB^HVg59SWOI*{8&Yt_0oCJc zvT1{`RrBcmabY$N$1Pk2L>)G@Z+54^vMB|-N;@e8V`P^!PBu5zdFkraPTau)QS&Ds z*~EIAepZ8j=*Qf4rzt@Y4(D z>Gc^PPF75iYi-{?_iaSo|EM+l0DC z{Y{epvCV@76UWjee8#JMhTRxgkMAnC`xn?q^YBl69TH#gz9R$&b=Od zCEwZo>51>rz|qy1x62)qZrzSb^+;7@XR#HfVQCe0^9RfdV=$!azRQZ)Jlxp`fP}}N z=)J%H=+6FkH<$7C`!-(u3#fENl$=RXYnz8IJx*!Ku5-FDJeIX3gs ztD12$!S)7U;oxH`lNxhaIOSkw0rQ#`{>O8<+S=rqUtF5gGx|!nsibRv81AFBm-U$!6(-92(62VT+SH4?kZM!{I=h`q_4gBojj|Nt)F9wTUEU^-N&YeLP!| z8Zpz!G{=~XP;#X_qT9l;$M;K;ZjO&b$f@7j9`WBMICW3jzh(BBefq*w;WOpumzrd? zcBX-5p9g3<(}^ZEvNAgvVluy;Sn++*P%e6j(!{5Yj8x(tE8Uf!9kN|1!@S=|3hS34MLq>(-NL)kk^_v31(3X}gU%24|nM zCA=-jJayQyQ&jbJ)yJ^4N#!+mVjm?{a(e){@n34Hne*yJB(4V9ytkgoSG0sMc+zCQD{Az{#Z=7nU%gz!qNHB0SS}6dt37bXTMSqg2=1_Vj5zMo-(gL zfYtW@@$pKdkk8$9JZsb!-aP6q3y*TszEcU$i8X?PM~ZCpc&z3gK6zr-XF|{}jAOau<{Q$9S@}4O>_LGoT9~psXn)4P^H%80eDpH?M*KEQrCm{On?+SeXH^pY8 zDJr_N+XgV(uWOT(fv>?9(U+9!ENdyBlB6|Rrv1zfeJhxIGg$>c*eGI?Dnuem)C57^Dgx$@(?b%vqF?7Wi{|p~4_tjHtt*(dn zUVB}0=x`eEj<~j!Y^^kdY<0MB_g&kaN3tGx$`W`P=RZqVPKAyc3LS6HIZWd=GBADo zwn^l%&!)B~LMbHUg40X3eJnFTw?R{rN%dQLcW_C=oX=p)HaG;?6nAE1Wb{CJ2#y+7 zIXqf05)ks8)Fwn`V6CU&6IugwDG*aehX#YM(G74Mr}|yItfa>U;_O$gFH>@yVa$VI z*G>zAi`QN^__h|Fkw##?y5;GM?W-$=T~p1{Nf^|#JTp6(0Fl90Xn!#EvFG&LX}A=} z`XBw=p3@sZL)sVq5!yk?drS=;oQfK5DRPt8yaoKn$~WQ8bCGK|(Cs_@GR3lfRI9YK z;FjV_q?Qi3Xuimpq)^0@qi-$Kl5fng;>!3taBhXNNzG#{Y4D&I0plz;gr37sPIE6uT-^ubbbXT5!U5pfSi{z-C)ArG~e^1b_56|eCI{lnUcmG+a)<0YgzCwU-m^r=s+#B=}(g*I6d^*4Y2o_W>&vv25-ybLVfCuBUAgvkc z=-M>W6=5q9W~>7^Cdu%Y^GcFo(qD%qp?_ZYG7GLEw0bJ6JUnnW%|YzZcpO&L)Sx4I zCC8kttEAU^DLJEWc`hb$I(1w1d~+wmEwaXQjf9bE+X&s-lk*)Xd>8{C1+Lj5XB%E@ zqIRi#%_ukzMZR6-R(Jh;6n+amQh}MZrb|$@?;?+M{mePs;^wRHoL1yWPF`V)e6Tmq zD!U7V6gQo24%9#EcU{JQazzn@dJcF4#1avM#gOiqn3zCuI^J6ofSq?gE_=05+-4&V>y5iH)u4##e3xhkV7X*mBh#&x@JYeN_()*FM|zJSQr0 z&tq14%<$ZWp$Qx=CYDS|bJO2HW%{lA>hf0&jnGfr(J6;TYSWJs>!m~*VTLU^zhDrP z!5|{?u9WRax%Iabgr|?f+2jl#({9>wv#y52zccFaCSWG9{dEs2YbuPpE%KA%U|=5?n&|Rn1$j6dg>vyfcxR8iZjne5*Vl` zt$(=sI8UCg{YE%pW2{(tvY)BVEyr;FOyjHFc5aIyal3DIXdTtfnK-veXA9THJ+J&y zX2*){UQt5PCPrc9dv3U8PFM}YOwS;j+BH23nH>Za4BT3~hbH3WkF}PZj;Q03nqd9x zXUO5RrJP4uHwP0`Bu6_qa+sP4kw5+EA@rK>jJA**RFfDPaY7@5F~Gg-4*#Su;dx($ z$VI4Ko*O(zW1HQ^V`W8<^*-v)yg)ury;^$i9z)w({?7B`NmRW~=Ck~%`!$yWX2;d4 zBUF|t<|TH%RM_2h|I==UEKYjbk9OLuJIXkzv@JNfxMYnz-|p8MGG-;RX-}DJTaa;m z=p~QLiAvUCaMeAW|M0%RM?3rLJ-fXnzAYXzcz)}Yo!fKUizCa^AAfu0yX9N!&aR=R zxy7qBgDo#7g<1_vql!dtJl#X3oLSQIIEaP3_S)9b&et5ZRkeJ(=H3t#2;2eFmCWEkH0)#@`16)m_|O?Cf%!1m%{-gI8jVS5=4U{`q6KNr+9MIaoCK-G!r@dP-d?-}K*ick&vxS8%E=CaeVAJ~Z!G z&uP@&wY0;L=5r12%N}2v)4Ly6q;)RI$((*1tSO1A zlt#%)E-)@3Q^J%J!m3jKg)MwB+jBdnkA!T2iEKeZ$+GYsn;QpmJMSK_k$Bjgy)KxC zWK)-w%z`Sdpw}LU~)-%KA~z#T3jtS&Ee>v@&wal()qj^8*(2vI_{c?;}6v- z<;_bA&mMc5FB6zaOyJ}>)^TU}t7mUWfvkR`U~JG>!?~_2HtT%*y~W$1nC<*63Tns` zFtZxtLDN_ahb}dk%|NkFNxJ8IJCSH=YU+zh3zP9BE2WHexVZO#si~d9wOhBuG51hr zAp|wXpn`OB@V#w+{)nF6e$_ab^{`2<%P=FMv|`ZXCS#F0TT=;$#_ zf`u_J^ab%Mv1ac{ukK+=Vseu8dw02{M`u45;rm!bcG~cGsnkv1Fnhw@8`pyNdkPqh zg?$lkCy5GSR6T~N#m&AhB!}vTEicvToOWcrqT>+9m_)?#x%+L?xu0}7z93C8+~`W2qK1vHqdSbOE$k(hlP z=MIJ_8{~}i`w?#Q$}_8a_K|6t9x5BzUaA?{qIpcz$4y4VJbL|`%hIfHhJ=|OmV7wu z6zTqy;g(Y$q`9L25s?~!mBC0N+B@96RFdnhrqF0uLG8~*VlYL`H#m)roD1aoVc`Iwh^;*yw< zU{P^moZJRBr|>U2Au~QcIC$*DWtzPD!FT-TBIMtw4-k~1)5VGcwv99CMAWOcYfp1l ze~8^V)}n0wAY-uDHI>}5sFeImC5>b8KtFwm4Q`VR-R1h=W`_ed0EXm-PHj8LMXv{G zq&|zfJ^RA!aS8SXi^sp!F2#;NdN}-CdmjfOTA*nr&W$mjIQV`m(M&rvbR|Nm=~I6M zTmE(9-Me=~%vs53b(D7)Hw6$vnFSrxwuCQB@2`K+@#O}#w^5Q@dSzwzBp3EH`ZD|? zxm+5;uGQXtLxonH;3VR+u(GQyyz?+mQ#fk%<|toG=;guA{b$dXnM%!k|2|Z~nw@nZ zmy4cicSlhgZdv)P%hvAzkl|)s@RuCwZ4ve7-4eO;_5&BmC54#>_WAOo?e(f9)CBhTzQF^G80dJ2tj}1^O))vlhfPdeaK{Zy zSb+pR+}hCCn4NcK`?JHW6;;q}x5=8J~k1tOLgC<^g%%KYDC7oJ8c*seZa)A>nE=T)f8Svp^kFUOoctRC^ma(s3L%~)H zW%~U?n@)bCIl^>Y=T{6-dY3!kNbYsj;ts_)_`+hKdNEghNG|)Z1Bv04x50!u_gJ^r zrqrY_(moaC_VX{8b{q9~Z7;PV&iPC>PVjbceLeN*^V+j~y-WOY#oMgv8y$y~`!DVY zu31{YSjR#`_Wvk*?|7`+|9|+D%xn@eA}f__vO8%BiHwA@N=C?DQOU?k%9c?QvMM7h zWhIKJh-4*^Ei>hQo?X}H^ZR}8`}epX_wBFiaaGRudAyI~c&+DHVJoT*`S9`4qo*$o zu3u*+RM*Tc_4#x2>G5ChR|vL@a`9^B(XR|kbLkKEoon0%-VqB5<|BZ6D4n=c+dZz(&GQBzowLo6?J!3nzhaD=oKf$hrq>I}6EV;an z=)VDibTaBa4Gj&Qoc0Rc?jtW~+)0WT4e#hEDq8=@bT%{}NTZ=3&N+zv86ltA*`rTY z?+^+WKAv_i z*>xghwFPf<23&oF0m7@%`RBiSABFwuFOMA&JwN(?K{f4PmWFiaelCWwm;qh z_6q1`j8)N&-R~N2`z%;y^?7oqrVGqiv4>U*uQCZZn(mF}r69yo-#d)Rke?iMrrh$e zygk`xV$YFDwFo6M6Emt7>7Esy2PN|72U}w#TBonyk_*!$e6cN8Yus(C=VDfOpp7hx z5FC6~t|)GZE-q6)WB3U}caz4gR?_`n~UKP8(Z_A9waUS<5kunFcWJb@_}k0CZkjUzT&6>S`;Ku-4>Sv}4RG?{^d zzhG~#1p{AgZJE!z<65xwsGtOm(g;oYQ^gy_#UvwjIG04L-V6w%Fs^+{_fI5d&P0s* z8=I(0?n)OlDsAQ-uA+3HYkn~xIiWf!b}fsW%(`Su{mChzcS_7jc)z<0B8D^(L!!)%A9Pqh;i!4AP%c+AUQ)GPn;5$}Knf5bn(WVk>fS>u~&O5;N8_ zb>iM1hd;M^TY_G_-8eWz>9RG5Qi_pI!e1r*+6=|BH#9{Ol28fu40(qu7unWZ%G8t- z78ZY?X#WM$vL8Nt5Qw#FisVeaeKbkW^Dr*$@2R_3wQ{=BRQ#ZP|G2Pl8VzHpOb=EG zSa~5SptcNev?8!SB2@TpO%NvwieU_4DD^RKVEG;E$y8r|f}p-7eQsrDpZCq0h%4WV zR@S#vzxv|OzP+}APBL}1^5#o{tCv;dpY-L=nNldG`dMGuZ}Q=N^_qQPg7|(XdV}1P z+`1dbpVh=Vu73bXE?d9FkY4=Fm1I5N8j{v4uH|_=_AnA*bAofV&{BGdfY};!p0}=`NX<+%q-?>9Z>N}y$?6_KF zpJED5>4(qUt+HEz_%|||H>co_htZ&Ga)(#cp{|~lvEZ@!OVQ_oSb0m5^hnA2&;SMv z&5@i74XnrAe_pBbly!c1GUL-!^iJMWza*tt` zn?(l0?R!3KDSkV)s|&5G)(=btRFEI}a)pWzmeD+A^3Z6nMRi4PZg|Oih+q;1(O9|I zKImNQ6GCbb&Tt08skk40eP0GxH(5w!64oIDileXMF>%{6`Ibddx`gFR3~QRcd@i=E z2MP$I3f8S#ZD0Js%ZCjLJTe93zO6&v_HcBfxUt;Ow{K-OEw?~BI_;v+s`od1;ifqM zI#}vdU`}^ezWx|CMKDvmey&ZCfB%UPs{IFc+>RTMjzFf%^{X)J7`ZZUyDGeNC-Jdt#3dX^-W=6B?$G=$?$JqxX@tVE3l>x?Ark7x~OB}y?vwZMxe*rc&VDl;rU zQ(IJ;BV^a!y#)^+cG$@vaRiI+(lce?c~sK`8Zt_lf2FVnrwKAm(418`9%|tfvE^%0 z*o!;YI8qze%-mx3g7J8pBVX2if=d z2z++U!vzMOirUQ{6TyY%uB%c{O;eS_`88I=Uo9g3f_iTH*oLO6Ku?tJ4C!Jg!_|GU z_vtR|<#$;JkzFYMQ%Z&~md|#3Xlu7^JL69xcBW&72+anh_h8bQ7Q|a}Bx!$x&CT}h zeaQE5C(TQBtKWMUrYYc{co?Aety{NF7LpVwZr`@4nn*qHH=E6Nyd+?TlH`4;z{?Nl z5*ivF3=p-3bnb5~FLn+_r7eFb$X>x6tAct?R7`WP^2NNK=DQ#*wO4Lk@`XB<+8)T1kVii4>i17d%+7 zW;c{XZ z$JNS~Qb-*85yWCulA6k$t$$RlTQj3aThyLd0^b$V*9QAOne*N|yML;ra47KVpk4wm z3%#nLM?@lb)KI1OQ}*`Q>sb;Mc~r$C3Y03>o#h8l(WDB#?F?6m4t##CT%5m*?ndCS z^Oo7WZy4v8&-H5x21$JO<=L%PzDoA!p1$R8U&4{2aPagu9`UWXNW@jkUWe0a;X5u= zzYTrR){Dvu+HOY@Pl~1CG((XGPq!bfgpcQmNj8r}ysNVl?@}Ctv-K6% zrK}pDSD(9&>*IGIrlNNEG~Q=lx<=|T-(A!Wa{(E(afK__>!kkGr!oW=xB6GHOL;eX zZgBWcsMEB@^}MHlM$lrepxoEzITlfJpR1NI9NSn{$*rTg*~*$M;{m0J?yPy#4|GS^ z{GKVoPN3eHBV@n-ibN24HeBs=Snm3bLWL*!y}iBgoAgwYlDc(m=NC!VyvL9A3yl1{ zy&=10qP(40)ICt?k&h;cghYozaI1;6we{u8wYoW&gE-|w6gC;eRJfl(&9F?|{1lq> z`uf9DQ#` z1mTA%eR+Pn_3?7JR^wlv&Vh4H#pB1F-QDug*7)KbB1Rxngq8K z5`L|$Kq~i?Tjj#S0vwzA+$s^V`s}ZvbI!hPo1c$Ql3G8W6bc+(%KfCzZJh0!a37e< zNwG}K$`T-bWbZTc`-(dCg|y9;KHeMqA5j&v6g`iWElZ}m6UF;uj=SnN^SNi4Ey7i$&%WB2 zRceTbu7HX(peE$de4z)Z&C;y)kZ%7rHT8a&0%r38(^t@-H(5fs>~8vqNK2 zPX0%4+j-)hgoO0{ZXpGl1xE1f8hBhT1Ql#pdy=`J_=2WKJnL?E#eVdm92^`zNump3 z=kuu+n+c(C++C4?Z-d;~akZ(aqGAOhVA2yZCTN_UW_JVO3`NcMr334HmD`54+ETyVFQUO4N1{ zurWx~^T%gLy8022;?q>qbQ9v^&nfi({bagFxw-oT)}9WziwFsw`bb^_3=)PtJ>(zW zzb|&%t^-WMgU63q)GuHDWA4>&`{{l-5@-lgEmaxAD0X7}ZF_rrON(XsZZR=a71H1c zQB1T?OxS>4-b!~93^l^Z5iLMxIaZ&sFrjX30Uf;B@ zHu{d-rz!47_E)zD#r6d9d494<_qu)aW(RgVgrrJ0_{FyVS=>j8Eh)~u`4XLCXo&$B zh>13I(%sPD`W50f()5j!0I30wlFZ9dw!9_0OPzfXPh};N5#p(VJGzfcAwsqr7FMb$a8O_= zb9!;BbyO;;%|`pgiCD{^BZBkG%kuAAqI2`};pieA$sEy$l2+JShAV1rUBS!CD@psD z)Pw5k)Tt+=g0Z@$MyH8w+qNgpJf|i-envLKv!#SbG+t9+?&nV#&YiJGdLG0Ksauuw z*hK2)NQ?JCB{ZiiDH6A&?SSHAHrj*c=4ma7d3j>>UM7MpyY6U#Vy)Z+tEqt2=K0xK zT(c5Bs>rC8bYvsUS?#3`6?Jdl#>&JrI5cD_^`N%)%ZmH%J6a_sj^9>yu}5fVXz1K! z#2#s)y5!|$EOtlO8r~eAmLG=96caNgI1Nlq?fu1UrIO6VQFH{IRcHrj@UTl;Ryq*B1=GENeEt4YnhKvfOQ)2J;MSJ!{e z&Px2bf(ON-OLOjI36BiS=n0dFlSI3@iQ?Dls;rz`a^ySv(x&tLqM{GsSLhuX8hY5) zHhXRyX|!-V)slST>X-;&~HDmP}=mZ`QnY|xHDH2 zwxq14qO6RTc$=D9wtnvO=g%pgZ->`vRA5rM|K+kVFMKK4KlB|FGfhauM`ns)({NHu zmeW9A-)cQ(erf4kdRCKl&+%}&M!cyc<@50MdT(Dkccte{W|Q?#UzO9ds8e8NFu$;n zlALV%r@(P+$>6xkXz`0M$52;No5qx1oF!cN_}$dxWZ$Hk%Q0?}8?*@0oi0;cr!6;3 z_H8yz@3K2T>Ficx;k*!-pjVtja>be2U~ug3t&WYS6j>>Q5*>BjvO3psisFQ()0i}) z$9eio>z_3HO)G1vIMUr&CW~Ae^q{4U zTawi~v~(I5+Uso%Ot8b1o*MNEBO$DT;3gF6(5?qS2%tZhfPO=GBl|h=A>#LBf@LDa z1TfDjnb|n3I4kBN%_@%-!q2B&%OPHQ!hJX-xTc+=EC<*zsD3m<#Oa7`0=f& z&C7dTAuq@tfpmp4M3T2&JXhl6==3x%6#Z2{N`#n`TX8@MiItP{f|RhD+Q3Rc1Tj;O zw14O4=Ofc=u?w(0ym5xA8gzZC_bMv(&N^E*BYoNaTx@ZE9(IM2e|PtK%q^{Kt?W)4 z?E?p{%=MXLcSA})PEz>OW(0j`7vb%*T5=42`^JtNVI7V`^H#<`I0Bb#q>@^Y{aBlf zhxg4S=`=n3U_UbBf}{)Eu_Y0mS`IHE1l_!Mc9G3tjaDOtNl0r>p1j@ShLh7$!Qr_p zswFWwnQLT*w@*Tr(|VoPLXZVI$oRYXbd_d|!sEv1s?NS%afjPsO5kP4ly9b@N{J-R zqg{_5&OIr{MjI!Il3DK0^ua@i)>c*$eWt@3hv9RDeTq<|U0aXrMc5iOXw=3Dsieq& zUXB=C>>+dG4Aj)H|548KTE9=S_YRAPFf zY;9d;wVwlA{+StPsc)cUG|}J2pC8TEA0gcpA>lWxTxt9Ng9UI>S;oB;wLKR)5RkJJ zwuTUb?Pu16*3rqXChs;higkMZCyQk3IT#rkM`)fnw!izj|6ccxsB{+nTx^PNn@FR4 z+rXqJfk!z*E-X6RDwRh)SBnk_Xeuks>Z0?UPn&aVyO0=2aVIX$dO=|c5FJBf<7Gv8o?A5~dMAzC3;K1aopSgoi#F@l*uE zJIf`IN050rog2fTk1qR_ui*=qxBOr+oK?kuf9EC%DUgb}f>cMjy!a_ogE(U@u*!xdiAjrCu zmY0%p8o(9PLi%cKY**=gB%pf}NI>})D{o97&1Cu@9{Nk~y_4(vy#}ThpYJ|^bhGEF zRD5VCa4{M>o}jf~g2P(K)SFzh*3!3hBq9v&wt;hj6{S8BW5=WE;$f^V7Gf;#J^s7ZTsv&gPpEjA)}Rj=Q^mHSM$WsAeAX@d)`39@QzIC)Nk zQ>T0Y2`#&8bo`1%5y0oNpV=ZBVeg0#i#+1)-HR3D*y#QjHq~E-bm6D+H~P8mkc`=z zaP_WQ;1}<=2Qei+T}!KW>1&wlcH37s`GpNwCVu>g;ofgm0Wr$`Hm{iC(jI=80M2v! zMX@`tu?12hU0-(vz(slFlRmOwVYS4m{rv>sPCtoToL1{csw{u^C-c^=AKkT zU&3@i>~Al*e?CgbPq%!I#hQTh3TBH^oN;)>&ut`atX4I9ME)j~X2|?LHPg3OK<+XQ z_)cr-m8N5nWWk}K7!vo}L=LePW8X4Eicsns`npZ#F(6aLJvUHHn?_SIB!wm123n@V zO1t*$Yk&1h;xn9H&&HKSaqg3(Wa8oBVPz#h2K|1Zt{#s*>1IaiEd-}n9E81R))SYZ zgK`-nH2}Zs?&r+gJLN-Rdj;b_NX}Z2?V;IJY|1*w0Bh(|>lYSKeGK@u_c}ZrKvQgTirf^st>uq{qP=-m2!vU_LCK|Kjv{F(%M^0UumvfE;{TRE54fT>EsX*+q z`y_p@&nAz(Gb0T?gW?(Zf=xyFQ3U{710x@jL$Q2r)0s`EMN%ZKDG_dMkwha|p0ycl zX7>sR=aepCP-oIA%!-gTe*B9PZtvZM>Jxs<{YpdaG53rJ3qi2T7y(wX+YAzOa){*h7F&}4a#3PGyx9tq2vj6Z{r0RI%Yhrl=H|a4^O}_8cAne+-HFM` zZ-3N(Y*Tp_cWB2JYUgF`r!t>gFSGQqR(+B`6i7gMgv4}{6Onni`0k6Q(Zux7w?fow zxPR#L_x2q}bIx*CmC80g4zCREc&!hggSC#j_6xJ^^R^?duB<@5NJv_G0m&IU4%q(q z3GuU)I(6yNd=MG=gX8I6@{RXRw~j>W=RRFwIYQ}pJ5p!DmHX#Bkx5xag;W-PlwEN= zvWNY2wSSNTSLoWfktiDqm8;*?OCZAk=vkQHP%HAZ=TPnnu_OT%z(BxqmZt`tdsJQR zkKKT?c>db@=Cxd>7}F+m7NdiQ=m4*<_QyYnPrGQ(KK;FP`854~TA4F>_VP<5 z3+qbc-MyEo`5UaJ?fl7iTf8(S@SUC3eiWDWEjq@2T%)ZvT9oiY^llWRlUa7a!;?(m zbrK4`Y#ts=Z;ugQjAYVW?`!2V6?Y;?IAQg>9=M)iSx!AS&Ek6M++z`HSAT)nhoeFi zG$qe)X_MR~K>@+Gz(B&J`0NY#4MCKT87NZ@($6akjUXLmxCh(8u))%31z-@_UfWka%jnFYH>X z9@xG#IsO&%kQK*+ii*TFyaO$*N;~q-V3`?Ppd*tMT&&Q^VMe1Yp_PiB z>nCQmq#nbsUepJ!)rCQ`JVeQCtqDK8BR&*r*CCZ@6X_CK+d{y zsJZ8(PKH}?8AmC4 z)4UGv(wnLyCp2_yx60fssKBA(3o!fQqJk$~ON;-uuUsgKY|ovG-Y)<4X2mC7o*IJx zsZ*aoV(Vczi4_Ef4T6|o@li%OJdn4Cwq^iYY3O_W(=}H0TY6+BKGVUxcV~vSXzY>q zBy+g_N(?gNmL(eQoIo>OW?Ne@tbE_Jx1TSXpB^7?dGTQ{4gcq}XYTHQ5g}t5ahUpy z@(HzVe8st6XRLm|+RqoWSchS%OWKaz>maclLiqm83-o7n&BZYq8!K zg*C1hO+(4o(NXB4Zn4wl<8Q+3BEg>6V)Gbk1?WV>P+9ZPA;lNJ42jeZxO*`6A*m>D zv)aldNY$~U!w@4Y@2l}$jL>{G(WUeFG*c6*8 zY8Ag={Ti)+#EF>d4t(YdkwZvkmOmkH1bSm~!1=9sykK0*W*Pb$H{)+>2?2uga`Y-` zoH_i8&S9>}Qsns^rs2mH4cmr92`=Pma>Ja`JJnu3`VqE?DblJwOPOC^?A;R)f{e^y zk0g4%^yu{>KEc2?d&yDa)A9`yaz(R}bZS=t~6;!Kfy3Jl&gH6Kz zwzF&VcLXzawsiz^MX0PB5yM*NiT#fLuP#0hrJ%P{iOJ@8!FN`?s)lrzC*NC})X28~ za^&bx3GKF*i|`>`o@`1dt)kstdu8U$1kQ|Th9?)@O=`o+yZvui5SoG zGvsrVIaWk&u8i$z_u3zJ zI+M0^VP>=xNG}|6URnFwwv5KPv#VnSm%*Ux6f&~17@|KZEPNxnjLH`au(IMUtwhR8 z&CF7-Z>6T~)_F(*%!9E6Z&Z?w-lRMA9j!%R4q+GVjDZ$Hva=E&G7iWCQZ5a7inVRV zZSfD7qcDl|)X^6hny*+2nz^^OH*V9{g#iQ^ zXFlzdKy@l{e`gUS(6-V(d*V{*N;rH~bW?+jwrn{U?vH^I?yTxYiegB@FU-$B`W(Ik zqt?oeKflhP?++NZx34b@0IOhVET`7+e@HY!uU}8%JY!)|i&O;x#n{+5LNg2Utv%KE zjoz&@3%F}#-iTM7EAH&SUgpZqw$X}?l&9a@9 z3a}ZSl6y&}aPaEsvpakjUp{lQv#Wb|k3*%h-Vc}EPb3o)Kl<8Sj~_jHBL4$wjJE9$ zNmd^#buSz0N0ZckO+JCG0G=EG)?Ba&keq*e5~ZYg-X2mjB&`Q9p#lPa!?F~)h6Ge? z@sH8aprR!G+|bMdk^`QA7<}NOd2s(eUTL}W81y{tI(D>fIPqk@v$NX|Aa$uJ=Fp-k zsnl%s66oe*EF7$Gg`{VSz>V(2%isQX`VrF zA`zM}Jb54+-;Qwemeo;KF-1jRfHux87isC}1c3Z$p3`MR*{vfQVhPQ~(!h<&1ays| zzz!Hk#%icZv5Pa>?dV=%8(CEyBdKK~1z8P6wL!8S{jY^($wKtyZzeAfIK&dCUUj#uX0Ok!afex>U5nu`b z)}For5zNbwj|ULTz}2-R>4jGIrOx|DovY_4n}>D)9upi5bU_9p3V*Nyb-l;jA?x(b z?nCBQVxpqdbq5EtJbvwx^>e=X>$MA~=~>xgZbC8B3cKB=2V~>~LTO!}GW&Tqu{)(D zdiQ_h(+kY2*n`Z(1F>>5XgETZ3BBbUYc#U_0ozLlW{@=J!b~59`l(a7AM80pVq0vm zevp)fkmzJz`M!NW!tMT0Gb>)X{8@`SLMjuv?*Wcvy{GIkPhsbC7fMgSvO7AcLzEXJ z`6Lze{t*_Xi_8(%A*c)0nO?38Jy8<&@9kBdt{rDR4>xs>Jb7+qwDq=nTWg}+=9Dvy zNp%IyMTYLn|F^Zfs_4!0Qo_@ZZrVH7YxssBON+?_t;ya^iJc{f?TSW5u6u8* zyI9Q``JF|RjQY@=ufOQbtLQ@a$qF8lS~4z8(n&C@=on5D6d9R3ML439EqpuRlLNc{ zX_WRgH8mpIiFI?XJU9R1et_o*8%1-|-ob%{;@k2s#D~97eCtm8A^Hpvse3MIGnc6O z1J{&P4KnEJY~9Uo9Gu)X@Z$8PlXIpCxj38{&|y;M;F+Z_>&&fiHsD|bH^wiZFrxXN zvqzACE5k_oF9fvvtIYGdUC2X;+++wz4VJ4}YqF2dl`k?uQ}E-HH~gb-&#kx=A2=X# zJgc&|N$GrdbO$X9dw1(!R~%qpcI@1FFL2`zH(&3&zd(SAtV(KUXJ<_5pvYr&{P^+9 zKT5VXw*+5GuI1%#kUDtqAUZb%Wy3nh4;&y1f|h9q#<7o85Vs-9O3$bId6;WY8P%H~ z7EM-+%ZEjR6PIaKe^Wns{Vp}Wl-BKYM}zZG&n&$R=QHiGLF>#a(uP`K5;{H zGmNo2;+3}U!FPrD^(wraNrK%#T34-b(*of}1bj%GWORkwACqZ;SWy`Ey@~pv#_c(* zkfet(H3^wgrY-zrU{MiqfCLTRRaPOkg020?X9a+-mjSF3!UFp;wh{Kdk5U(F#shwi zWmfyHGztt%)GQd@0YGH8~yw*44ZocS9qXkunq1Mt8dxMNzUy><*C13y4v{4s`Vd4hDalao&k5z8M<(Uo_Q{tCsyNF_L=JxIOyX zmyC>~MDBNc{N2fFw3wbUNUs())}9o5WI<0TTQLiI8V;NbI*ep+P=1h|t%3KRNz^{@lf5N@rn#}QDSf%Rqw`Gu>nID%N3U+f*s>7YchFx zJIX6ckGFwIP-@-G5Ld+UaYqFgRgxMy!+enMH#4JC7rO&~$gDXtGacS$bhy)Ayhvo6 zkg6;T!AG)1C?cOSzIW}bSEN;WE@HW)MoyQZVX4ni)dHg}8R(K@GFKpp7wy${dv^Ko zK<$xZ4$;@M7Tr8wda#0ic!Hbnoh5$LNpuw9y8QnA`>!)I$7ik{`GsrLRhuPTP+WXE zx}IBvbYjf9jta&fAltENRVB6s=?xQAqeL4f#CRy%%RLYl$kP+;t?cgVk`@voiQ#|q z%F^fGOHa_(e@J7y5BVFqDa~`tJn&5+p4-oUF@;vwrRoJ*RO|1Y40<EjM*Yh3* z6-b>p-X9!r&CzpTw zipTs&l;NUJ$v70Ij==H%%vTd+*Or=xa)R{lI`9YI?7J10BCl`YQ&8{Ys>u3!Hpxv_ zmm#6qL!03azAgpnxwuG=MO`#qQ*)rZ(T!TCPWvu{c~h4w&4oK!*A4Rtz;@LhbJb6k z%LH^hM^6;Uw`g9KysmMx^(@o>dHc`WPfpR>6ZdaUE0BIp&HQkve&}1s1L6BQeNyZ< zI9w{Z_wCq0n!qj0&Q?H4O02Bv`%4=sPMvE4S09`dGq1j*y*Y{$>Vnng)Y%9bvCUND`OVJ@%Cr>-WFl&HOx4 z+#F8#%$+KDs2BGvX2`8ABT`>ryhFR&coW+eTR!Y&_$_>%kHFj=KitMImHxeO zH9IgPcsFyNNL>==>&^Q&kS@(*Uk5*xapd^i|E?!2lJ0iG&K-5VJdYg?+fmR&;4VS} zyI(b{{_jphwKO2aWVL@GNe@GuHXR~0Kf6-ckm(BHdvt`k%bl4^N2KKk-SCPDdxpk4 zf}g&|;{F<0as9ri;7-k`YB$9&)|SM|$EW5psDApSh&LYgPljDl-+!|=>2w;QJ6b?7 z!q!eU#PaJUAM_ELN3pe^^t%13^j_}tnBxxLocN+EvmN)e0`DE#<`{BytsC^odXOW> z9iO^rxStAfrvd$luntlc|5WK5(F5IVSd^BO#9ltZN(`f)s^y_Rs3S@YtJlvhwxS^1 zzdvghzK|)*=KQ}uiY>T4Yp+yb<;%)Y!eWZoH;3Jmk4YyRoflfWvW8 za>}$_F^bGylq@)FRy=j2iknC+Id<2t?$EWnDiOC>@;zm7QJ{uMRq^{Me4U0zHq%=p zNpD?>VLN-c=JfQmGW$+FoY{YmnRS!HoaWh;y&+7*wm2k^eP4joK3GO-0u;}n$sxRynenwyZUKJGSkbFOpT%O@HO95wU}Eh zny3i9uteT1vZuWz9;Esld# zm9LM_+?vyl;0o?sw(xL5ox~BHQQT7pq%*w%N!1i!Ud#-0!DW4&cpyMjKo6T{+cpC} z1jR?q652@ePA}Wba1k0C13sl_gq%!BkWY$?)yifg9;S9x2Qp}d98qv~wjNg!+e4bh z?WLwu+B%|f+1ITkbsoE2Mq2^j`sw{xYPJ*_(t)8au|Nd?x>p-Rcz!Mo1>vOHton`) zyGy_jj-lZcO2=uHLra4MQ*3MeUUJct&z_`T3$6n!(Ljc?DzB-ow&Mxi{kJ)RwV>uN z%hD5t{8n$JaZ$IiVSlr**0U-;$Hfs)WA`QFFSx2}gvc}#%`1Yk1WcCZgsMD)jcykI z{jDi#EId2~-9J9qLxsc(Y&+@2?jxuFb4}si0}++1qz&VgUhOl+wPnV~Q z{ouXaZSHldoSZm0I$bq1dc9K7#`YBNmVy#B4ZxGXDeZ^{a*R>YHy^CJqld-g!Z zq`)7*qLEK>h2)l4i6~~gy%7p97G$4ImwJ%J{6Y-?mRw=EgQH^`Zn2mcdFgk%06A9F z^XCMx8pt1P`bIx*s8OK*h6c}$gx0-%*R+LGy0S;?s4e(^XC~krS3x> z3>}-23QAynN_ytE+yk;RiBICwpzlRJ)ef+T=>dOXuwT z{-c1>b_xn=#+jb_|CtA?Qqa$GC-yanfNpF{h4|5E>4exV# z{D3-pHnb6({6DX2YX18gT3WMx&JgwgwX9LJ0TV42I^M`#2D1&U)U?C7s>HDV&#=ew zPpDJ7llP3~&aKWNVKzws>c6-nr(mCEruy%C5_|7GWmEDz`@;x!X%8N3JZtUn^IdnX zn5Cm3h8-&=<+FOMH{>ym)6Vilp)`4hnV-j6m{m)Vh4V~adotZ7;$-mOwoT;H&%3;S zbT3{ge>hCd|CvjfLw}dOy~~`y`~oxc3$FuLac6%?OebBF=0-+M7M{RmB@d^ElS@6> zV(&zaYvV#SXKj>Irs_VGSDdv`3v6$_6k4`50BE&P%4j% zFl(uFnh!O8Uf@ciY*JHu{_vq_w8PG?(O4TM<1R**ukv#NS3K~^8iO30q@<~I6VDbd z|NMTBntn7_vm3_szhVN{N20rPb_VyPXyI#Z&p-|{ok%0Z9`XD8V}XV%N$tV6jtJtG z=1%zfNObF4-oL-vpv8-f;UPEKbE}t>+GI`BpT{lz6Ec^7zS>E>Wh7sH69Ii%zQA?K z0YfGrk>icb%(UmewzRz2?nvBULWgZ;t;%}Cq+XC1!BRTepe@W+a_gj6L1E#!zk!Uh zRt3!#{svpax{Ynh6sDyu7&e|lHb-x6&~_Q~6AaIOOiY028T@MWQtj?by614y-x(er26?}` zqXVe8k66XpR#)A>Z%bD8=5!tTz;JGSjR+i~55gx>%84s`iiM~R(2oRNJtce91Gu7M zf=eD2&Uty-j5=uR?r6sCo;7KVd@^=7tEzrsS^^x6{V6hl%b=orDVlfFf4=rLo%etl zK8T4quBXQ|FsiT@nSTSDZj(jPGF1~n=!oS)hRqS)WEcafM z%ADLQF0LEal@Z)I^8nY4nT{gUn`YOPptB5&=fA7`4i1%(_?;0prJ{0WriwqIJ}ayg zBkk=hEJVIkrkD5Z&Ti=lVnE{gZIY3DM-Ndkbx5FcP++VJh5cDO7k2(%l2@JWu6n;-q zngHhFvq!hNu$Qci%p;4MHRu5#YB!zXlXL7*nyHqyYM`FZ`zppN29gV~# ze&fgT6zJnL-7%Tnu4sgB)$b90PbO%<`g)UYPjDrsKxCjE50bEOXNvOjdVCuJ0nMecD?p^6TfzV0flJ(^6n#Iz;eLB2n$Bw#zf#+FS zn}UF-4)*AN&I~T)^XD4?#+e%$qR>69l8N4@oZJ!$0J?fiH1@xG`rVv^q!=UZhPGf+Ig_c7(ZLDH&(e^q%Bjuy0_mow&*1_|0aDiGeBhr1t3IN6phyN?P!miH4_V0Oei0QJh*GMLHo6ub!X z483X4HqMWPo*3q`RluEY z>F!}?f`CN&@Ex#({kI*YX3m2L-NKX9uyE!hwkdkK90znBMzeHw(l``vnS<2C67*lo z6$jrP=9}uTk|&Xi+zf63=G$^uq|6ZPtW&32ytcmGgYa8c7C$4#9nr#ddUrw&=^}Ag z{2?abWF?)sf++`4agr-5bcm_%3fQ{L?Rr$C0_Aoj`D7Ei3C=>quVT`fq%`p?_KQ=E z2wS)&2E=3S>0suu$P4|ebWuaIoAt(ajGWG0^t?SNl^J{;+gBcRvx3j$Z^8tdE-}e- z{koXJN??@nj}iHEm2XA-hRJRtJ3>=3m+@7 z_X0t;^@JhCs)r^d9nOE9GmpJlp~b2to&ZiKKy%X8Xclh<#nr_C-GIMZJt+&e#8W^< zH#9Y&o5!jS4VS*kpd(7}l#W+n!C%t8nstP5UtN~x%)&p9gY$$w zPQvZmiJbMd&Nin{aO3U%tD=MM1RPh5o*zPMK`8F4x5Kw#?7^WBVy5Ws-6K`B!*reR zocAo<-a#G2Cfg@@fo^HuoUJ4(!NRviTadb50%sGrL(pcNqL9m?=k?^cNAOLfhc}5j zqODj8doUnE8Tq~dV+yWG{=!M56H7A#j2RdRf4+U+2t~WC@xNDq<^IQITuccqd$CGZ~ zK6&cY`1JHeTk_kaEvBrj3<+Bq(){4wp)_S5mO6N~t|mNRzdlnLc9Xkdc5cO4)}L&1 zhQCM?{Y%%{2s8*1^C=y z^DnNFD0CoWm8+yDC9S?ynmMvR5QrTR+AkfyZld-wxlJnbq?qB+qv22CXfs3egvN$g z5>m=iik2Ate4xBkW?dTiHxMCq1w3z-Iz76UmP5EC*SAB$z0JF zWrJjgTc0CZWw2|l9IHtdzW2`L#EBPGHz>O*JsfroK-L2Q?QpOCnwnR4zzgJyp$x`o zsvr0iD`KO5$bZ;GrFo*Qy?xA_LWUoDwu?*gQ~Nf8V)x4YJh5h!tbWj7y4{@*^34R^ zm!1bLD6{7t-7AS53e61s{o_pMAzRx~K#PE0fI@2eqR4o%()K={^I2J0@cz69U_y_R zhXCsh*(6&c_IdV$2VW{ZS_cNsg(CJNi{^s7HBi?)j}D(DOVWGPvIh=^x3#hl{|>)NW2gq`B|0W( zmmpDz4!zHSbh6gZ`<2;a*Vt3SxBI&Ze*)&TVP*QzD8I3^4P?(1#CC^%Lko*&XS-YN zcI#*CoVNO~o)AduJ4&A1W%%VF8KG{YJ3LyeM9(;P^`QOr0ak^hZ#5p8QczMFo$>0x zmHit3+@YM$+@2sq3?*j z;&lQ@Z?)=Ioe@hHGcz@xMyy#N_5oKE z78LBeejqHS_h|Fl#M6w<%#ciW@F=CGX^Dwp{A}J*s2)2MSKy9S82vo3`ssx5k*cp_jZWV@>E>;HUcbCRBYX(cYj zi{eLhzb4QK{ibWLq9wSrSS71oV?Wy0|9v(_Mj`UXO8jO5!DIYz)%~dSan;&8G6E(v zi=lu8%ioz_D&2q{e=hTkc3DsQvSqbcNr z>HT-8*MZD?_H0JK`NXNZ8-$O^y=)(TbK4NF{J;uPM44iM&x{?7fw~zX@4h*YpU}=A5V$B#?>YJR zbk5Z=-PnGBY4d?W^XsW_qDO!3i{Yyzi=ut|nh)EA;H*k~vp)Pfc-WkRAmhQlrDo%@ zNLEgEsP%Y+vt0$>P`Mp}5cS`)^{#HzJMeo~PCIBQpI4(z3qI0&g*m)-S4`8&9>xb? z)0AQpHLfWMLhK}{>a`Y^QoQGsy|_y1k$mIMEn1J~3up<1)CBG3m$}6^U%KsD;}#O` z-2Y{(k0M>>A0~G8_~hh?w_c8b{ap;v7X5gWrqR@(HTZGLg~z$nr)onABW19LFX8U5$oCEI05SD(rmKg?MkZHS|VaK6NZYr^3;+d;;S zUT_N?fQd~IH%ANxp%QKLuH}M9kE&gUuI?@}041u%4^t1>n37+7H~PCpie@gn^*4Vu z&x6`92FpM^>PE)?I~RS@KZpKV3Iq%M4lG5xed)(vKf2QT5T1mDgf4pTJ9B1$ zeXnW7yrL&uRO)QJBKtS=gyX`kolp56HxOkjS2@Ji=o=WI_zVp8-zav@QH$-!`oZQC&Ek_VGR`*tr^6E|8q|1TXE_B8 zz_MTA31RQ;J@AbIYA59`pn%B@{=(bxg2sr>ls?xo=zl8!PG(=ZPR#t?Tbdu5;{Zf6 zlrcUnNdN~?ST+4vNmyFC%TA`37f3!Ax~Ga>)2T1c7OOx_>;1U%LeS7fv0WAlZvz0qJew<~ zicZHvKp_!~Jii{O2w|Cec-%<7&>L&+6YqBk3O490mROdU003|8_kDEq0}N)XtRoLu zpF8(p%F@n`L~7_K5h&ljeOsnd{iCo7jjaiDL!h;X>O;5B7|%pfOCsoPx`@F1eAb8j@qK|85{-3rbUYU5Jqd)2N}1O;L-eY0 zov$%w+8ny8L4xeVdHT^>=PhVg!G9M&2-7Fnpi_WK3qMZJGyVXajqXkQ-Me41k8N9K z+eN)8L~juc?7pWL-1_S2D6bjiM@2@uYaG>yvnV1pUY50<1_cG7IlGIq7a>hfuIxa5 z+_guK_7oVMo{{8JFaoa*JV4_RJx}A>K_UmiMV)PCqC4jPVj$*(o_nMC+N*>K1iKx- z?Gm1rM68A1*SndzPr)sgE>sWGNMuI0gh}!Pq+vZM2G|h96UT@>2yxHRb-@?1Id_is zs)SWT7&2gBRjV>lNu72$+M)N~+rQNDlN35DcZ}@-BZWpSeyxcK$K{}+T;wH*>LnvT ze)Q!T?l!i_1Ra|4+JPHBopv%vpy^L?5ndg?)%e&TS$%b_GlU*J;OgC*2tgrTcXbcx z9Uwbsmh(#b{e!(}-^^pjZdppK0v86pZus|-W?m&w2~IoLd_Xt1vPlK!0oDD=RQUiX zB^sL8(SLve{cMn9TF@jV`hcjR;kuXCpm1L&N;S|r6w?@3ADRxCDnIzYD*Fz2EZg_} zr;U)+plqRx%1ZWlWMx!B$|x#Z!!Dx;DIuhY?2?hnC@Uo)*(+Pi-lL)9f86x0@9+JM z|MPi2@2BEpI7A9_Mi~QC+^;`TP0u-`P2sTb5&ky=?3nG$5l zyU0lg>iepRSf(QA(yQX^BkeVDVwpLvQp}#me?f~r;65T)C~7#Jz3q1(m0&i*l4z1m zJ!aQ;%>6?B+PXWDg(alkGP}TmMNCkUF3H!`Y~}9VW*ST?gVwqR=v9N59tPc}+h)*q zk+QxA<#*~xU&$sX={NROi&@f*N0CV07qQ_acKV*(=cjxh^*s7|FhRyG*I!eL-z0ZI zlHRz`HT2Ml1x-5Np}d((t55CRWZk`L3rh&$@^|#ZNh26O_O|>wgnbIA+^Dd%8i3 zy(cd2340Scx$-i!8?1A#+4HPph|%Vok6F&0c}nS`IUMkt*?s)?ucF|H)FgQnTNs_C zS8eu?E?DTc`^+d)s;eiq78TAtDe&q-Mh_{W9iI`Ok~WSG=rMg}3{_}9*mT`xPpqcj zi%+n3?nS=*@&&dFbpqeZbO^f1JUB_MjdSFoX}^*6mfm*F}rl=EqXpyj39hLF&iW}zv*gp=Wssw>t9J{jrOe#5RnwTwhkrDFI|7aJrN7$Cx*Ash3_ zIMn~f`~H{cVdiQFvk|4qJMzOQLZcq>Xw-2x@)Dchu>~TY)YX-~%h$kb!Hw;_c!_sF zlVzUYLqIFeNLPFHEbmYL<)pfm92?#+i~O|w1~f=>KNHas36i!$fk>OBSf)`92H==L z-A<363EBCbBX7vOOy~akf^7&`Pm0{eM4Oiggk65zc`d6w{Fcao8k4CtY*aS7Zd^qo zjp=$&oQU|Cm8@7Xakdb=JaoJf;&cfK$05%ST>=d8IfbwS>H;X+;sxnmpcQCQP*i+@ zcuqtFV|pJXokK|va?b0%Hi5fvW`QH+&*M#G1QtrWE+Z_1R|KBo7-%K z1qDADukwx-Od0e__R?g$pXq3^hUOLWg*eK`#-Vx9b7zHKovS>zH5>#;dkncjWk(*` z&9FBM6A&_6ia~}3UF2HY+I?qVT;-sky8Lo%ji;poOk!Gdw=>lsCA3jk zWgMRXH%qMN_wdMt44|as(@bvYJ}D@WT4o-FMMNYwTMy6EAZ#r!FE`D1#6Y9HFu1C! zyKUWqV!|mem+6kM4Y3&h!39vet!qfVO6$dDu>~!6}g+4Zz_-vwagCEn{WFCPYcbSko{<;kCmr#%j z4`=GW{7xB%B8Z=HJ1=iaT$}=v3Kxv~1%q_hG(^#e7q>@flz-ew#%1sqhR>mQk`uGt|1jCJ)6Y7)tMNclYQ2y(ch)h4CpCbGXSl07oIf1u%1p0+xy z(zj~zmIzDG_K3ibrjx9cw6xBr-$$QfAR-THP1|?SII?+Xd-lFIQyJ=S=Coy)$|k&R z+lwt!pWY~$)Ye5U)E#Un-Ie|Rp!-Yzw}Rbi*su?azOY<1SWWU?9l4h|m$S*j=yk!C z;6}2Sawd2OMs`RF%UM<;(8b%4h{wO z`>wu-r+Bm$W)FvhMI>G!b9;pYlikm#y=v=B<02N4`HE5l9S*@~a54-Yr8eeH;G&Y= zTUl5&DY;4M48k133xjJM^x3Fz@0*Ctc^5@b<6o9c9*1T!lVo@yBB>3l)H5=AQ$V!`n*GQf3e!SF73oet+H??3yihYlbUzdL z*2KM^eDW+SE5v0zi6-@yn2+TT?K$rE=cR;xtCP2b9YE_DlC; zxU?^hQ!VXHi`Q!Lc%$dgHrWedCZ=T3MeHHAQo^@g%R|W5M)lVkKiy7_Mf(U-vY56q ziNq71QlT!VlDz*l=a4p;iXpNg{MpQg@dRvN<*jvY+crG7B^Ge`u@5KH?%&oPsVaZ+ zlvnXFD4Mj42khfd`Tc+;&TgBNoBJ;5#KX1Y@lSTyt4Hitki5-v%XACwv$rbAXfv`Z zp`uI7D*^7m#pbt*%1Aw-WF^Lec7qP(-9H_J{`P@;>ss%n3ekTL`7X+`Am;J5fD2E; zk%$g2Vj@*{o;>+F@`zUjD;ZWQ#_O8xVv=68PmrjY5+>))5SGZ>D5K9fAlmi(c|Jt< zr%vIN?^RVTIClF0a@2!I?EAD2@G@;se#Cu3>DVr&3WZ%(0Tsd9abkk&Tnej}k-Ybo zEL`fTuy`AjNQrXvKdg7QN|Y}K}c}}5CCNH(8wH?mYS8Q?gN}cnh4jN zeY(|pbv+|_#zBL7qo1w__gxj{AfSqd(;@r#p;Vh|cO=J%m5He-(^z^B4STc^Z}<=R z*==7f2#6G24BQY!!+<3;upgUuW-B|x8~*U21EG?Ko^MF?p_qV-)}>`NLZ%Xv*LOEt z{j{EtG^8w}A-?0zKIEtThkxC8j&1OaT_pb2*(1E+h{YTo#fDub74oWmq1ok9x;_+d zC*865`K;c*BKm%y`L@^<0`X6wJ@qu|%C;Eod-ayCI7nCk;Hy`!-o2rqrM=ns ziT<|kzGr-l54N4V1EL}c;Ss(%^!3BlwU??UpJEOu5S(p^_4f~??({#dO6QA+c;~BN|9tO`vWf^{-*V;gk5? z#v3za3$EGmfXiH5)bWx^zaz)1j)vz-b6hn(FZ>j!OZuf0x@bo69#X@vYnR(q=AUl( zux+RB2aL@Fl0TKHRD)z)MP=3a_D}ohR$eVbAh@Rr3VHJz5K!Dq_zcxa%>0;RmG$Qj z1lmX#!zXP=4Gk+0Fya+ES1)Y!kt2C378l)RHl0o*{ z>H1Q(>{EuivEi##H)ao?Q|8q>xMWLL#r8cUAAKpQ!sdW?#&QQvB~omo^CFPVu*xJ| z{t&I2>x-Fv1@EcF-IB$-{>13X|88@{atI2J;LyrXWL_NpflfZxmDKT1=~pgO=1=(} z@&05SU^_TF=j}~OA2jC^5LlbXVF8pBwt{sVBNYa|uk697H3YB29{J7IvS&V!ff9LK zxG?mU3RHuwTa&wqJy@~&pKgITG8Ri=^u_*wD_5Ast@Vm@7CwdPbQ8liyWMSS?(Cs4 zT#u*2=nJQSngE>Z;_iC7A(%)5@IXR>pt;F~sG@K!wx{Jxc;Q;h{C&I!L6^ZozO@v? zEEr;KS1M*13SuKXDJ+!f-db^+*cfU778SM+th&wlzbN^2Jv;H0W@{op z{@0&AVDE38An;whMzBNwI8;k+aUUn+15Xrb!1El9_pvz}x@a{>&Nv{L*7L!dmq=3f zCca-npqG-A`|dU<868OF;c{>oN2NNSmhi@YGZ~wDLh#&<`tSSG*_Sd!{PCWvOQ=57 zi-GFrxx}#Zgix+}yz9cZ2^e9Fxjgv$p=U7!{+Ig?7eL_@yks9rCTwvF9fh4_?_ z-m^0Q9>OgC^xqyVk<(qYH59xFbP=KiS6w*qt3hno7nV6jN2_0jYu^KUNf?x+_5L#; zkwYjBsf2~1uiYPw5uYg}{@WuZcEPI05S<{C_a=t^{&4;Oaew@;H<)ddp%hQlGf>j` z%g+46^#1!MBJPzi>E5h=v)g}evA=$b^2=Vjm6w(1q5D!m*Cw)w8iWl{d|fynC$|ox z%Qh<|IA#%gyDBiXDO4mrYty1#xElWe*gZ~i4}d;Ug~y;9AzhrXM?fGgJ^fk$XqTOb z%o?3Q*+N>=n)4L{Kgr=}vj^ywe;tdDVv?XW43dtndbn}VIhBMX;a zUfMIb1;PsaUWNw(!or^5)#yJo5vq;|P)n>Y{L*fNxk#zQt^0N4zJEfGod!99KmTDJ z?>3a@K*Y*3?kIp#Hk8dIC3^v;+}gC9RME`Lb>Xxv9dU4HxnZG+XYseMv4vtGWLhBV=u<*CQ96$-gcn$7|pedmEO608ODCMH0TAiYRY#o?d*gE#=XYxKYq0SQ1PQ?J}`bxmI~YM);?aW&Yw_i;o49kMLKl$W$F3H zz?8j>e@Cw}36?b+zqv%TriR8&e+CsoUb0~&=xS-WLuf=|R+2T;U)yZuFxCgnOu6rS2V1i1Fu6crvln2x^y&kzbux`)I~D0us^2^8sw$Y-@r zJQR0`{HJvoZkNa^U?KuMPc2r?F5kg4hQhR72lxPVNbw{fZbmn^13JgB&d@O!hu~Ws zLN%^A)Cv~9*LqC}Gh!PWhHg;ctR!E8rH5#Uf#|N}#zD|2VRxzjVIL|nv~#=N1>hIZ z9>|jINl>|psYTo5Lu;$UolG!9TD++&VWkj>;RD5aF; zxbA!Z+Af`dI+x5cPs8$G;Gcrs)oO2W`t$^v>XgWY!X8k|E>kqwlb$LbIMC3jBOmnR zhWdXSiX0Vu9WF5GfBHxQe_wyq$o0I~vfmEolKi08r+oV;XFToe%%Xk)XtY?kBkfX? z5kZ{6r>y_ug^?QvVWPcr~H;2d>AW9c6yCtjf`=l&lVj+}UL;ZBI>`NPJSYUpLAsjlN?w{TiR_O@CfJS&8K0f)W3T~AD z&YrsbuipbyhJyaE;7xF8=D~iyOAJrwTHOza8vAfVb9IS;Ae<6Ra&#-UY}GuALX3vm+r zOf0c?DpW$bUY?L*z(wk(8-_+lYmy1UbI?AwEQH(%4;KS(3earP(wy-D86EmYx;1Qd=inyMEA- z#`K`wpZTb}YTEl=?PH;|L{`6)tG#hUu8r4I-!1qA3mw!|{%^?t@A$3X3Q8>c(Xp{L z1$4wUvu<|w{@4tnx^dYs zkEmL;;}Qoy6ICZiFssjtxMphy>C3+Ejl;7TS8v!@u8olg_KFpNM+y9V2{R|YN8&7- zk~$C`gm8GdZd_#J{Fg9^_|1~*KmB#t)()%wfgyr{g8YRDsP;Gjog+g6zU22lS@Npy z&&s4++ncD7j35h++m`YYcrbp+QX|j~I|fXcKM-1@WxWX+VB$!4nK$Pc1~YMUU#WC_N#T&zo+^C2?G-s--c6e;`TWL z<@HJ7SKMY>o7hqO`hps&MhBwE_pD1m#UJMbP>$l?BuPeFOWbtBi2OB`U>A4{c`{_ijceE$^k@)^W}#0-+m z6%e1jVu^9`2%()=8=-IqMuSLdZK*5Fbg&Ce&>_fc#Jcs}{+@%XT`kZGpG%hzNo(;o zB4EJi=&mnd6@iIjFzsf$yU7{EBaLJRm3rl&(4H@qVSGDG3J3PgRyY*I#c_Zt0P%kO zq%9X+=71`kopb%0xSx-jdd<(mcLLV5cYO#tg%}Q-q~xuysw++t#USK%zo1b%DGZ)n z$zkX!Rbq2|Y0gMW@(sY;jQ72_KxW4jhUV&s1%!4N#-8@w2x7J*DIoyk77_|l_i*|+MM?Ef7@>6K-?C{-DqIL!4PF)m?p3ZV z@J>Nr&7Uw@qK}o>Q|-TjXdjI)-MNx*>+W694EKmeSA+dom`3av(mEnECr(ib@smx| z=%ghQ;UW`=jn&|vFy7_mt>75ACm3J?qysYrh6p7U;@xayzsQfzik(YjBTJA=uQBkw z1O6z~ZDFpU<)41tMjHwp`y6ux`0 z41o~Jxj2Fa9U9iw#28vaMEBIGX%t^@XbE@rGo-Qxs+v&T4Nzz2-X1}87^LZEe83{2 z4vet6LpDqs~(M-3W8$9 zt$<%daD{4hZfP9^+Q>n{_T!F}bU!(@4l69?KC^r6{P#b& z00T%IgIL4^T{v@K)ezoca2*TrYj~VNdqvG(Q+Ho(sw|bC%|NdpGP&47&q74yNOy+o z;#Z6-S^KY3X%??H&C<+!tEr>YPr!eRFNLr=6v2Q0h19FPX%TK){QJ58-#>R3uI)Ad zBVc+&w5g-gb$wMu?DOaHQg4~0-bSJJHZ=v>u`Mbdt5&WgK<^2m<)3&k-mARa-(|hi z)X#-3nL?#?JA!43l~BT1x4_pt?KL$uq2s~!YrPtqX}o`A|4Hmlx7Io`y4<%hQR)0L zX?%A`PY-kbP=f8gT%nJRefKUq0m`tRq#^!W-8M0?<78U1(V;`1hli^QLZsYWS5$r! znE8oJyj!7mp|YxUbAW?L=JZdhuGPx?e>@H|S`d$aze=|F>5hE?t|2%5Ry4yX2lXd3 zSdO=3bbuBFqM&PQvmt!2pTEBVQy}8b4z_E3(v`;_UBIYCh(g+9RF;{UnSz4C(W9M= zIx^6raxS;wt3Sp^c?rVJmyrJUXzpm&P)N|#4Q8Q=^(m^HGG(MC2Q*S$(YgBWAoRNC2jbd7)f z_nLyUpEb}YG&Fa87xD^RWYnqn(i#vL51u}KI%AZEifXQ0{@1Y_Bb(UEw5>;A=%EAB zl!n}{$(_0#W5wAoWMz)8lRyt`mh@UyqJ&A>&lF1eSq_4dQ2+q4yCA@XV;Q|K1&J>P z&Ibh`e)B|<4vno$aS0K?Cxy_#LBOv<#>_!rUunZ?Vm<2U_&`rAXtOAm?|2A1gc!Ev z_#;d|a70egu#14Y^BnGWZCb_Z+<+gWU&=-z`pN*Br^hg2m=Gw#+$qRqfRLnCE_nFy zr*W@^g03qAr{@hbT8@?a%}?9r3SxCWlhb^v5{f4?V|nmUF>s$6uHYh>G@TB;FRG_wkcCjqVn-St7S4Xz$Je#jT?Sea*Y!jA9MF$MLD$`1(U&BN8@qIdNW zu#e1a&Ex|Z?WQMB&zcFrnvMDkd=Fb9ba9!O+n01?E!edU-=8d9T8J6NXI==EUz*wT z18pOZI4B^;l+c<2fuTlMpDZXsDIXF&4a=ZO-0TuxI{O4ebp{0_KuE?%jXHHB zxJ|Zyiw^ofFNfn+Co3R7Ko;C~82|pl-a$d31a%Z)yAE2P{1Ge`)U-XVg9-MDc)8VWj5QSBgpb0H6rh7RcrkJLyZB)-))18@q+%ggIBxvW(G&{Q4+fqT62 zWP@p2bug|B5WLU^P0-@*x(}tIMs$8$O<(_J_WNEV8R>zY#M-^X1EPh+kFpyMlx~0$l`srqss1+@t9earu z6#zzjM~*SHPdFj;o&f+1Ceqp{*9^3XqErVv(>lG%kl%In6QgBNrQ8_@3SVKbtt?(Gd0cB3zCqaLERJo?Cs(bgg zxO*$b*IDNfM-+Ml2u;ak-_2=Zd&GL&@HCzn)9R-|o(6=<&;T(OEx49sm@iC=(?bn% zbI@zh0v{fJ(g$Nj7PD$d8q)k(_g*>&P6*!cY5?eivqs~W4OrXHt0ocQrvq`n=g!#? z5fWYt{qhUUau*0Sg0vo4#wFXb`RMh2S}3c8NFb3KmU{i=QHS$RF$%Hg@tuWk=g{wf zo(l2|05OQHsMRKxW(ELc3=G7by3Y;X`#Rczy6Knh^Wz>+lx+@H^dGOlg0gx2JhPvP z(0c_>wEK%|_Sfrb%J-2Gz)Hqwe?=3P4s>4tw1D&1u&f81V3>tu2POu`O~mH11&`Ms zP1{zbFH}!=2qRd#9u-9`_FNJ5gNN8IXc*;9KsZ2*56?9oIK2YXn(%tGRaw36SpV(n zKD1y_U7}mRKF7XGYOuxidVEohfRIqcn6UyG?!Oql;)n@0ARUB}K`@eG_=s!g&X52I zD@P)M)R))9{#?vfkgE9b2R8Wm++W+V3wC7eerlz{v~hS0l>EPp>?r=GaGVS96u)}KiXw5;{-x>6lc}|&?x{h80d3- zOxdk&2>Bom#+QH-)R7#$E#eI^N+-bN!lVk9I}rF3?U?N}%NBhRDeDE@8&-sd*#wBy zx+~Wheq`y|hN~?^kS&iB-SyGcWN_|?%?7@u{_``N<4ZG{p*d%F9+4fh z(S)LHIQDr=Hq0uNOW4U`cpEtGwUtlmOn~LJ1Ge8I+54DoK$5I!db!M0ni_OY-Heo#rpE*L z19ue7+z`76?%@w0NA~Ca&pWjszKsm{`-8H$0to`zA=GbP#4`;kqD( zuz`0=ZbI)4x_BhO^2oi1XFS}VGmJa{&GAks-@pzx%amZGFlKrNfM;v>tbHI$6nH_> z+YzIA6l)raSTQHO@$m^wt|62^ve&{*0r-G=fEpPU1zd^vIy#kIqM`@e_bzRR4O~yl z06Zr9d7(VuTp+kX6BuMt5q|mT8=FF;Zl0-52v3|?efp$R@hEwD{Q|H+!2G895=ym= zpmWs}i2B>(mKEJz3m${sK-Ld=v9UVW!__5k7=8CBvCkyCRXx|L9`)J`eVghP(Cy%0 ztpjW{1VcqUB@P@DE$nU%V-H3)Hcw1g>X^p92-@8pBIiYnGuaW0Gqmd%H^9+|ed_Hg`yU1qi`H?5Jglc{f4vq3GWBsv>d)SoXi?koyzn^7n zfl2MzQ&VRezAsqX1G#g0EN> zpF`_7k2nN`9+i)xfS5V=442*Q@zuCP-WbLZ{_`8q2Eu_8_Jj~L?za&ZRrEK0?@F;X zp-B4&S~F}-?_=9}K}Gvy%^l=TI+*HL|K%q@XPejnTAv?#e!Y*+hoLp&G|^hT)Q#~M zGnLmF`>qyApj#+hE1AU`_yOO7LwWR^0m?Ci&_KqK-Cqrw-_fwixT5q+4v&tusj5q* ztakCsxLqT;G%IG5Q)+}~KND(;3%HDyxgyv?uzb!z@<80Y3NEh@H5kpCf}9CNU>ubb z{6)$EJ2i|?=jPa{Q{_E9Ug+w_-#|xnE~q-~u2rL70D4*2-3Q`_3J~ys>552v zd)J{bG_1`c6#OwWSQ@XZb9r?>1&t#;%Yf7jR)9mG^R=l~GtO-+o)!G~-1qMUO?tH5 z3Eu(F*lTQH{`r#zKV{VTtx@fv#apO0Kmg+iD~fsI)GT8B!ooG><*Gx?I1<=yz2C@= zPd)7m7&I<@k%E+x1wII_+oAbE1e`Kz4yY)@1fGLvXgT(JuXb*a8MvaY?%r*-I8_Ig zlrA~m0)=gO)?T9Of>i>cqs9EoSQjMFY9Sw;ruP7a6r={vu~rzV`JxI~Zo1*4 z1mIopY13c7>L5rMi1(Mn;8skR==EAzT&IBRAa2K>4Qo&+TKI4ca8wj!&GM?J?vKG< zG`xVEfO7$21>iXb!}lzc4}5>U*`cZMF3J{2UeX1u9w7t(AVD+jZ$Y`Zj<`vufq0yx zy`a?)A9wbn#Z7-QQyGS-1B)PLtOG!ch|Mz;BpwsQ8_4AD?rua}!-#a<+`gloZymdw zAnP=yd!aVv-)t%*EnNVD1{?yJiIuerHU;|!(kci((QX$OfO67p^wfX+*jVD#xB5SK z)Rr}7#AT2KJL?^?RQ40;SkgyG;P37T1C*6rRDl5H0sC_lJS!^Htj3Xu+14J((C-k+ zR}EspG*#OIR6Xp*AER|Fav{L>KX-uNV#ds|+hwk_6cd?}KDvx`Zj;3!TKn`q6t9}1ZLnKuh?XnoEk?uepMr|` zU~&<9^}I&=Z`)-z{qreCiub0}}Y>nc^D< zS)P(>{r+Jw;--;?67P)4M(}u8a03^j;m2JD9nP|4K=+Y+jD1_5v;xg@8p$w2PgKr} z(f`LquUi5@EE}+^`0NNFzFfY<#KdHp#oiGnK2vO2_*qTBTDzjFflP?6%QDJ15S|_x zX;A&DZ7`0x^G?nUsoq6+k;q}qJAdRkh6ZQGtb$Lrf2t@z^!nWg&Bt5qwe!?k)eMEcL%i3BUKsh6A=P;iHQfa48>tjX@q9Ej6 z%xr99{r#;lo#@+7Ka!Vuvc&(?lArv;hlS7|y}pJ-^V)e2!lJIP)3x&F-Q1w|01iO@ z^&YrtY%yEuSQKB0vqSQ}u#NDKB0MxVpgCt?>hZZZ3mv|6`!TZ@a_XIWhs`m0JP4%v z9me@HNPHH%DDcM9lrYG36DWZj<=JbIp_!#(T#oXALwoj>08AYj9336~whEPpe|Mb4 zEk0loVn9h!;Wz!vxs8>aW9Y< zFq;|a1OD#yr41WYcKE65;)5W?x|*(|AWa>s@|6OE2zacpUH_*~P3{v2?}S*hu(JvF zMu)g4!9iJc(|J4oaMS$xaQ|d6jPC(W2qIuyRJ632p3?yclt8Cd593u|$IZoM>yilV z_--_g%^IY|Qi@|ijRfEhwK4|1XZe2tPuQ9OoqwcJ<(RtVT$r&vtPyVgeAU}r6TQt)IEod!}#h(cx!ML^G#kIe?+}mVg#$sN06Nn-x16;Y$U{y z++1nRD0TdVOjT;jIgD2V(=wsi8Zm$^U>Dv-;yypeVVNC44M8jYdtXXMG@5czyhONc zdVW-#3r(T!kbWf6j*T#>vq-_Ike!bBT5~gsM?shdR6Kln zqY1^@wcH5=Hs7*w>GFEl!s(ioNtoTpEKJjO=arC<5EswMY((xaY}|{PZlAy)X_AS< z{)L1QM*_F%btu|5%fvxN&$(8Oem}Vh>j7z>f+FmKND0_#o8l<_G>`X}H(JZ}VACO_ z3JG|7@`+>oQ6DCGoY5#9{X>V;H>2L4(~+#V9V!PZ`^7d126LlfD+Z)x7i)*85p=Ss2|jP0m<|1k(gMQGKC=J;7m=hwK~<2@3x>I3l=3JOl(Cgb03cuuI>%#h8LrvWm!N zlu^7vCP$tDVDm0Ed@K@&r4hOR6y>llogf!tds2g2F*DY69`=q9 zH^j6tCMp%&nd9?k#3mI#6}ocOD)r3>;&PM4n?L8Sd0MkU%7h>=Bn6=t&Z@NR1FPfS zc-?EnT(62yWUxIr(TibM&yLR^emD&g7#T_ym}@cetwCw&yT6vwQIX!U;M`(x252rY zHJ$L+V3WWk+}P5+QRny(H&B}*ZrpfTSl98)b@I4zfoVa>s z&W}A)ZO=;fXw8Nw18yq6pCy~<-_N}IOYX;rs8u4CsbO{E2SVqXSi8edQry{|LB^#a zxeE1^apX>V?tLW}S7;Y=EZ&)ShZzz@TL6Th;4s#MMhlidj+8bTL5$M{AvSsd0fzaT zyC5S8##Qx-8Ta`BdTyYaWq_(`XbkQm#KWOZ@0*4<17N_Nu+ZAwrK+-j_6+GchaiVF zh44_q4UQN|wVOAhF0nmfSVgTaR3FYAUb3HCOP~9KV(@B1Ce{X-;^d1b-FSAr4bM)O zIl=V((yj0~3QDRs!^;b#YuUfL^^KGkXCbMRUeQx)T3XZD)^lOq&hz6nos%;&Nvaxx z`aiKSs8<2m)6mq+X?8PZy_R%GootfF@DlRULbZ~5BglBIj=3FoX zLsU{)&Y6^&Y6S=bAa0ZmECwr5v9Fk;Dsr_c;{<58h=wor9Z~~W2h^C$*yPE{AZWU) zTwO;+m9Q3{m*OJ+*yzZS-L~%(BGHI%*>GkVDWD3t?Z~fF=xlr~M!9xvVuw6H8ja+J zhV@iimWwei{>LtYKV)x3?=v4_z!~-`G^&f6I#^nUsPT+EkAWzvFb#MSdksJ*R-2w} zX=%YeuRDa1M4$}dY=bKa0C0pBE#;Z|Y2ruft3vUEYype$dsl;knoTqvHu3mwk#@f3 z5vrZ2O>rB*x$(r;ufbQZ0@QK^bo9;#8hje3PTl)nrV}f3o9@Hs&&i_i;TsyyZ>HoF zxh;qp1u*w$Q8ayQK`G6bk5)@f&8szin6|fCdb$gn$;QTp#^J)xZ)fr!#l&D}y5Sa0{0(3gantd>Kz;qunEQzd70jJ4-`9KhC0_S1Xc&X^y{au*@j#uI$P>apXvJaPYdWvzRS-VZH9bgNbg| zjZM$J7SL~F?tFIS-LCdmb1`c|SG%HswQR-e0h@@>(E875tX1?@-XpuMR~w$9({Nly zbsGO?K7cds@pH1=DVGI%*V9wZ^s`e{-?Ax&%QUszcaFhOxtg2NZQrpYc>bX~B3@w| z8fv9o)M!xGxg$CGM&KdX<1Z^K)wf4zM~Q6%09jag^c3??S|y}4m7mW(J8EKT`cOX& z*c%HAi05wxnEf@fgw9ql{`t|DwVL|T!s&2l+d#f)H z{gMf7md%^dk7WDKjn3Fxe&Oen#6)gmls_wQH14IO6r&jk3?ADwWU#@JR6(5iBxXN! z9YPqrx!LKCCm}JGTw#Ajpk!pkc18UDk%KpKo}bR4J9DC9=f1;-Z%0ROHXa@uV_Uy| z7AYKV4#xaW*CB|i>{!oI>PI}t>RRqjGd#%N=a9a%vl~TK2|(GYVaPniZN`WL8JRnt z-vF#Ss;c^bk$?ph78Z7lh8vukZ9&wQ@PnF~8UbR;Np&RHNjlvF9eLwO5*;PR2L`~Q zVVC!m>G=Lgy@ehhYmH5 z{&@WL#6aOm9yH}-Cf7c$3kMoUM^|D}V?JHu6R_NZU0m9IWrwFmT;LitFquw%{ zODYcF$92CePeOZx^N$TJoS7t=#9IF|=gvKuLfw`S1PUo0fY@S7OG+0(G;{O;)xv&l z?^UhkVtiEbF{+X!zc2IF_QA-XP>7b2=D}7=DQJk5vOo+)-niMB?G-~W4D!I$@xtlrHC@Qb8fl2q zggNb<9mgp{>Tez1vwL@BRlJd3z;dzPa(1umyga@I`DCBwfUU~T7S^bzOSzoKq^$fG zfV!_q+IJhuE1XN9>vemj_eE;mqB~Xi26a0hA0J9iAt52?HjNBps|)C-$5o+@!@TRb zZ?Wthc`rE;ktw*_y~XBW{|>bF1qB6BT~<2plbAlu?#v9&PE)4Pw%Su!0^X)8;$NKz^3LgAN(fpXsB zh@qjH>D!8mxQEwRrS*S|3H5pPm|RZEug$ zAZGjnWy{Uowa`@?xS2b@`bgoj$0)c17Pd;m*5N)fsUo;c_(<-xViN;{uZXc$uUT^* z+8)x<=zb>{DX_#_f_rR_Q|hv_q(h;-xsSV%H;|f7D~fDdc;Wlw;;zSG1wBRQTkmuC zUx`@pX&14l_gzw4q$APgA+B%Kc@MZPBO?PF7yvQGH*|C?;FwEA*VU{5;G-YIO6>tu zZ*ax6k4v%hP&{Z5U~rWKGb0$&ChP)C8wjwAap*3e3| zhH?K&NxOD2r2sM)Gv-a#Z{5B<@FAbqZ4IVnLyn){tas<`22~0%($$AR=%5VVi?NWP=h z*|SqvAOO;3#cT`=$8*+%Suv=1OI6?56Gn&GiVh7F*SAv0mx2u%FfZQ7JbuKXsBG-T zx3!$#kN@Yzk;joyC%1A-N=nx0d_puNdfJ7$!|fYZP_nQK;5#S)S}{dCkf)=l!}5et z(TR<`(JWGtpPl_K5{lsqFY}!!WJ>z_PCENQSf@IaH$nrv2U<)u&X0Z$~1+Hu6~#%00N1l51Oo6TJ)U{oj*@(m6(w`L(cXNnpsBPGJ84iPX~k& zjvO!97tjb4JFf`Z+-ixF((5qjGo^Sx#xP*8rX4}~21|gb?suXF>gbpq7RKn|fx;?R zK5H<8fj2xjayT3TsC~4cs9==_d4}q-I}wz7O4{3vo*fmAtip`o`{(W=4v(Y3{D1?g zVmUk}6nhlx(Bl9NK@RlR`EEM*F%~ykik8mYTvR3CTtH-WCJdZ`v$M0v?Q5Au(7UW$ zQ@bW@RfPeQl63H<6$ni6s$&$}y*qfzo*SN9#=lVZWKZ{^Ny~ct(X(f_J@y_rdGciB z`P109ZT9L$Mp5sLDKn-y@=1r`i+1e_&BbhE@l-apE4yKJF&q-qK07qcsf1~KxcYQC zh9AU54@S3?^I}87?8L;xTtT~QB)~=OyK*tVT(N11-*j4@A2oxlFKQmC5;D8sdS)?XJ7yQmO`rleiY#x`t;j zkTVbNeh0&gdfG`nzUBIBv(PC3op0pDbIu4+_T8ldVbavV;FR^DT(0{)3h18AuWN6& z#$S)8kyZwQ)V>68%3 z0{k<>`(JV@=&!r_QjIoOn7BHUf*2&G29|f2x4xFMPtVV9XA!?bl}Cco3ovdZx}8l; zuWFb(FB@f~ti>f4MhM7sE(i5QcY6eOO14)Tu!nBPT3kp3$n*NY#r= zmYHP!D6DMk-6Nl4n?`9s*M11G2f}_HJJr8xLmp|6gNc)en_Icx9_YKdJL6$BHHw%m z5AJ=~(2IC~@FkE8r`$PU9|IhEU}4s>m5DCs5Y=&_aQG0A`_AiE3#r^Gq03%=k2E9@-il10rg!9!oK*G^SmXzm%xmaHc zpUJ!}7b=0&j8rxOBLd?Sh|tKTT#WVsU?s{E%^Xr|jtg`yM>xP+7opTj!(dSAWud~IXys`0gH^BxAv~Q z&hE9;)aXD@v(sG9Yrl+^S%e3zCA2#;AhCrc6wEmGUB}6o3jr7&Y0bb%w7VzP3J$+` zx(ZhVWij<1Mabe&*aML%veJU6OQKSQVGCV?OFell^87X;(>k|~-Fo>_Nl6Xi3(!)_ z=7v>1=lt+aBz-7Y&Vi=wg@g+xR7a;4^_feTmb)wJVtkJ@Tl>QU$@&gFOo(e#j?5OeL{r2z??oTh9WNn2`;5)7=ft+~g-u!j8yZpg#+{ zasjwEEQwUKq_p&@6DJ_;XFofk(z{HAx>Vaq?AXhd_6~Md%WJbxN$eT<2KGD7S!dw; z(B|czwo)yNRn5OF5WjdC`$SP0A{Z8E3@2ny)YU6ti%^|MPzrS>^W(>Pbz*I6lnc(U zpk3D9)@Fy%&Y(IVmleiG?%44hOl6c9fW3k#)<%#hO3wATv)Mnth;lLJS2}BJ*8ogL zQScoJN`#>yAsk_q>0TVUFTd;DGFh$SK3U`{XwQre(Jw%}u(qJufPdyO(R*tIHHtjP U+eYm>YKY%eSJ5VCDw$pSfAUjWod5s; literal 0 HcmV?d00001 -- GitLab From fce94b64fb82c80418e08e7bebe00e9091409ca1 Mon Sep 17 00:00:00 2001 From: jpena Date: Thu, 14 Mar 2019 17:07:03 +0100 Subject: [PATCH 12/48] More edits 4 --- vignettes/NAO_BoxWhisker_Original.png | Bin 48792 -> 0 bytes vignettes/RMSSSforNAOpredictions.png | Bin 85982 -> 0 bytes vignettes/RMSSSplot.png | Bin 82409 -> 0 bytes vignettes/ScoringForecast.md | 2 +- 4 files changed, 1 insertion(+), 1 deletion(-) delete mode 100644 vignettes/NAO_BoxWhisker_Original.png delete mode 100644 vignettes/RMSSSforNAOpredictions.png delete mode 100644 vignettes/RMSSSplot.png diff --git a/vignettes/NAO_BoxWhisker_Original.png b/vignettes/NAO_BoxWhisker_Original.png deleted file mode 100644 index 4006f603576f80664a8f3a14c3b9aab48d048096..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 48792 zcmdqJWmJ{x7d^TuDM3U!C8eZGLRwOgZs`z^mJ$I0X#}K81nCYbX#pjr1q5jjkd~IX zYoFiv-*La*Z+F~xj5FK^*qir#p0(zhbFTFe{zO$C4~GH=fk5CXD#&Ue5NLN12$VxC zRQQS#{TvtkgYB%K?}k9!GDH4{QYcaI41u_dP?VL@^2*ryWn*+_dJ=Qb1hF9(5fKqq zSjZyiA=h0OW^6<$S9Ley`L_Ke@llnzNmCdeE(_N2)2f{ub3+U%$=kPObCVI?Pj99V zO2m>$zr%KJ<+@O5 zW*m=FB^DjLvWz0+fS(8^ApiLPgC8kMprWRJfEsd>oIbxQEiKJ-`O6pSeIZX**QJY! zu&^-KH>AYGwPu|m@5NsVKL4qutE;P~Hq_VGH!|YV8G`3D-+F(t3>}Y3IF|NZd3pKx z32Q~3ax%`kSVIG zg0M39>|PZ0P@Hb-1A1g^@m+rY!_A2j-o}Z^3KK4qRu1>Q)BR<_r&m{(FKujoTMwoU zW=UMH4W^Hbj7(2Y>+9?9&b2hTEPuT?`)l~gmdCOuwx>rSRaTj;{KJQZ{$#ESleULm zdkgC$AInNhrDbHM@griDVqhDK!^rupiHL}_E*`#q{W`CyK{Z2I-N=ZexAw=6A5v0M zOX+VyLViw7Q9bn4J7)=>^*!A)TOZE$^Ye4SlvY@MgiS)HEo*7HlI4G;zyFU)+~?C_ zM{scPzmwg_Hs^0|sU00130qB+lbLPjpiyYE-oTJf+_#22O^jt zRlmyoO;gj$U!Py(waU1=AAXdN=@WZ#ak^h_+!XP7?|Y^wpUrn7k*P+v-yK1iLXNX3 zor_&xzrL67zxq*T7>Gx5-(WodaeC{ke@bNUTUuK3^O?ic(0`H{GDtuJ@ubn1zr@FIbBjRu-3p zL)djCY}`}WV=HB$JSj=X(UG&})#iAS#PvnZK*dZ(Mn)WiJWi_&KQFI{>q<`m3L1L) zU@G5lxGx6zw<=0X=5P1Bnnym$xA|W`RZ~-Yw+Ay-lc*clz(2gx8+rXM1n4_Y41| zaB*?DxVWwy?d&#d?I-)1hbJe6czEL4O3KP!{X2f1y%n+F&(#+E<_$R+*g z%}q|~R<;xsJyTbYW6b*b{rg*g?aT8c47G_O%~1d1mnS>$P&zs~dHzcq>+7dyXNj$D z9v*e+>4vEij1VwyTt5go&0#&Iq@-jgONp&}KGW)Rq*U3`*4AcetZZRH*Th6EtmE3++66;)b~Yro zv~G*{-$#{(Jv}|POI_hhwEWfsWSW|qSB@GQqkn%7*5 z?R#ebym7TNMn$=a<%F0T;`DG;uCv3%k04NtpGErfYHLd#iv2mS)ej{g_ z&yk&y5|01m#6;qTu*-`V#11;2mu!uUG8T5!BrX|ymmQuz$MEdF75y$SBqXH1-qYQk zKe<0TJe*wAqjW*PVz60BJ*3{&=%Q^Y7esmWz70=MnP+3{|Y9IC$ z`zV^}-aXtMCE=!4NH23o4VRb4Tl%fO-pgO3C&tG)?%%(>xG<=5=#}`lJtK6bd-@s; z6W!jkv8jnx)MKEpFQRji-(kvmEdQ~2KIhJ_rsTHgj*eHqv;6IBZMmB$C@9i}oa(Bo z7KH$(3l?et4g$HBrKP3wRWtkMCw}}mK04A~>6dz#jm|D0puNvSpn>ruP)=cDadY!$ znW2z%Q$vFnAc7c;+B;l;rlE`no%7E}axnZ!#6vr8Z*@Ujo8MqmRDHbdZ`Y+zf0fAs z8z610Q(Ro!c5x875EmSbZY|?%ms?!C*_X)vW;D(F?^>e19KD2ui8En4Ky$E?TTxLF z9*tN^8znLE(f+dh6=!JY{?XCI$jBn?qHYDE((%{lN6{4F|6*Mk4)^sH53q_*fdb`j zE;tMOU!4_1DD_@Xnwgp9+;GHw@amkuZH^d`edfM2Pl$6Qr+DfrUzoZ;)gEC#k|VeA zNs>kNVF%Bn!E_rYy{CP)P27n4*%Pk5@bJKIO}oFP}c~Upa1UMW|cb zyd&EEuGEH|$!ityeE(V{W$rHN|m4mMonop z*5VaFfEw4;zJLJ4+8+rX9+#udiKUr)%*;50+3?J7QjVb_tn|i1%vyWAdD>#!;v*m- zktIP?qyjM=*o}n%1|;Jf>q>u!qpfA2Y5kR1OG=AyzRjOhL_<%H#XYuvHOVnw0nj?I zX}~=gu*G9@TygJinU+GB*LaYeg0_XFC1Z-#^SNeyUpD8ZF6<6%M@G8Sq~Wh$A62%| zJ$P^yYJY@&;|7i@<@ngxor?pVTqyEbNr^Gh(f4cgRa8_qf*w736xaj_c6G{-XL3b*h*K zH=dk6!*=l7_07$``;VmAFoBI11!`$)!vb+C_CtNfB_U7FSlBz8_xm?EJRIAW{{HW>htm?Zi~?Dr)Qd}+J<;HZ=z3zBB6Ps zF?N4{|2GC!>%ZmysM|$E8l+g@8%AGWU!rS#PJVv(nY!nJ@~1^^z}PTIjn09emgrWT zHUX^*>^u;rdh1|wpFo3rgbX+)^UIh2)IUDDtn^eW?AUF)-dS8!x9$i016IB78AB^^ z^^Mk_o8cSW06vWvi{87ttgJ=yF*Nx2_-L5;mXE@|b$4e<__w-u9|NUP)Duxw6%!ZN zEi>p=D~2~-EUtL{z?=5s( zT+{+l4kTWLWo6eZbbz}0@liCSoQ+3hLtTYQ+cmr(6 zilpvtu20;qMrbg>8G*sp8Suiq8Q=56q5&a+i|+UEThWs#&bg~_Mx-}I?26ocYo-AHL$#o)Hhzeqj}129=;h~Hn*@~I(vD?U`wCS z&dv_GXF?CW4|0PiX@s36Sr7(Wsai6J5wWpsB~M#?mPiM%adH3cEu#6?!}>o?7bKnl z_I;D~q0wGX_?>&`okaJv4bB3<(-#Ixr zN)_Xob0`3-cYfCPfBP1i<#T>|ij{=ICm^s|;WgFl?bdOG3A-jHCgvynSgH=H<`Ag3 z^T$;Y5q+=~%#YI;*M7oBVq#!mCvM!!^~t%$!z$_#*l5AQ!2v`Klb38^ ztL-yj|42qNRP*m}LsL&r?_}o}#>^+jU+1u0p#H?5MnfJ0aqB5XSlHS9{2+xUFaJ#{ z=tklWr@1kJm*Z^1Z7M3zW{dEgP~j=b$)|t*1S#h-{6Pv5iJIFK(N?u^E{OP9?{qyR zaSh+02UQABz{DgcBhxuM+YGrV6N>-B&20?GmyqA(dF}Ac4q|p4tkz!RR^Kyt95+|j zlwYJ=PfLxPe$31ma?(;FK9rX~t+9T5=T1B@OA!$fe29thTwqdz;xCU?-iw{>Ep~!T z2#<^|TTp!Jg3=Nh4cf7qydXFv2lwhJ^Jn7hrXnx5d3nu9P&$nQU#-|n;uQ2gn8%P!R zIW!d|kq#4v7(!YbJ!CJq?)>is=s=_m!iywW@G2}yJx~s5e$ZR|-#`2RfgiDRz!vWNxv|s$fyhTGL=Cuc4Xl-r1_4N^~sY0MnW!Pw{n71o%;Wux(A(uek z`yH;UD=YV}uiJvot&?GZPh*r8*OP5zWMVRIaF){6KKfZ}|2T~wW%%=pKVTFX>gyXf zx-!wxy%wp0Pi2wV?4a*s;^nPwXqW;D+gnZ+O(9TSSGTtB1@4U%k05NXtTgQAYEDrR z_FZ;%<#k~b) z6=%#h+?zKu#9!8>DD(31VcsMoAR+m>wYk3T4&D&ZXCQMia79INz{SF%*WhfXrIk=o zQ4xXDf0^9f-R-tEFkSbY@>)R&dEp=cf}*0LKn}IHOCs3V*gzFQ;d#-xTN9u_<#KTL+X1@m>O3$o#9-g$3uoYme8$QqUv&SC8S@=UQGO;Bz3Rpq!MKl?^%p z{$SG5W@UIzByvg67~* zT4;TdA!A}9aqnJ%QI>QaQpmbzZ)|M*$1cPe7(VJ&JXMKpyS{27^87wDbPEfsvZ~6= zF$aR+MXbtuOw)lB9*uceC{_uH`QBc|bxL^?6Qob*5c;S%?!fQ5k6@xh;}O(*b#--w z$cxQ!07ozs%M9yLg>(vw#^lI&h5ds3W5VrbydfeaQ-@QZXkg00V-8nD? zkq%l<4>(AnwY4vxHg`9(1JRDx92$fKgm^+JHEDZVNvWu&whOcnG810SLsZfFUqHUx zT@?R4l;ywpOtjw_TZ(_O87ba{ImfXVCgC&T^s}Jm?i3|s;fH*+^(YoNWC`@ zO$bpJPfs9MqZ1QWqLR`pQHh_*KeIaB5O-TsSu?SL!YM`*BhlUl6&#{0Z-&eGbHX!j z`yU)v9V;uA9lF69K-`N@=K}~hlkIJ7u|9y%gJ9+Qg+DH#IZ6O-c$1ftrTq>hF*QuJO|D?vMi(e#z*_ z$g`QcZ4l4F6o0*%0|Qalq%bfr1nkBM{+3t{rU{%~n(-cPP1k^ULqKKas0p&`iKPRg zhvE!|-Wrz_q5Y52v*T?_f6uFnv#P49Q8_YNT8S5%T8M`aAFfhg$zd(JHiGIz+_*{B zE>T!sJ_l?a453kpWUL~eDV0ikdU_~_hX4-X9q`I~iOs>w)Ynr{AX2j)zWUkI6P8D& z55MgQ77_vG(g5afXJHT%0Qs2C7pE>D>FMa`9zLXztg#+MH~Ia{-X2!gWFY8x=a;DW z!3sDDI64^`QGlL&ln~HdH7M6!jeZ28!opZP<%adDo9M_ufM^#K6a<4Ieg{8T%LY^j z6nZ00AwcClOkwSt%oCXQnKIx%18D*YvYbqeAfTe+NHIn+eLBT1CL*~1`__R;Jc{#+ z7gmC(sHo5*Xz6^_J(&)MhHo(ui z=jm~AW=>9A#edRbi-R-Kk$kncyt$?2Z2kk}6sQbVgs108k!ArtIqwQ!lFI51$b>4w zf+aBat!-@3$R4=ne*P?SEgahE;^t;ihr!;AW_p7UCDymj*jwP)XfQ)6NPR`e9uvDK z1N|nt2GN?Nc^Fddtb;d`{Hjev>> zP~U_U1!$n_zyN`2g0$hNMG_wL`1cHC_;mnN z3yj$nuc?55fLpW=5vSna5FI~}F0Mq9k`$hxZ5Avu6j5ws_W-@s3T4kr%sQ3y<;#~H z>iPr8B@46v*rFr?#D#=B_m{fO4QM3%GO|qfZSZ-y^q8suc9XeG4hjw~V+Tk@m)ZuQ zopiqjCFYyO)yNSjqBFtQ-sFQE!ey1Agiy16V3k3Xn6&!#5|NsUc^?F)>NE47^02aE zC)%BQ$YJ4?6D~um2y#s&ZM582^!f8`pfk{ZfGQY4A^2U_$f((2n%5)rD<5?{L8hsd zr6sr1jnwSRh<$K&p#D&{1F%1fLeirMQ=6M4f6K@zDAH0>d#N5cFCc0l3iiwySg8fbeidDXG_meU;E(LI9ASb(h$U7ml>~`y-4vJ;4f>@O>gH ziym+M%+?n8tP>Q4(B!Uf-{h4;u5YnDjU>6B5*>PrHfcJ*r1||>b3})`Nl|fe5)DEg zZYBX&6gw$7nKS@$?g(H{Ps|b@LGxGF))HrwuqZ*n6EIApa@omK58Ir23VS7wf4G*7#eYkhrXxK zFGwlIW7jRWd^$)a;$8@vSLI&x+qbHTv<$ufJXb{#43DA+#@=O_{%ZFA3qJpVM>3~z z%KNr~0TrMIU0t&3$$-geS*ee+9=0sSDHlK)Q)!3d1BI1TBpp_Of&xbp;?X%1uko|j zK0P0QB`D$j-$KD6i{HZeV|0X#YNKp#Z>xgg#wt$m!bwvzdp72Qe@( z&~>ZA5kxqo777t5DdvqEyqFKD-d0p_@dfQ3{h0)N1VCOQo^#L2+8Rh>tci+!SJ>@$ zC%BK~<&_)in69rRKACo)S_^iSQ2`ty(N*LJjq-;B&%Io{D-#tIOk?$^w zU_QDB^qwuSwiXM_ATaeQZ{OZuA7S83{s#pU%73cAj-g=_SlM8#0A$;b<>MJju?>Ja zO~n%us;A|2++JHFxqTaD0Rj{Xkvaa4a^rtc!`{Aq3uX|c#QwoS8jr;z=xsr-AsLqH z&Ye5N#N7$p7{kyKGchq~d_@ud$#%pX{9CAzSEu_HpjG|J z0xUko|1IR(#h#-IG0!6)#|uS3@qxC4D~^DtSMWGJDL$SdNKM-eOw*hs4aW)c=dY>$ z&n!T(HhjW{GBE9Kr+9FIuC8D?2IQ~I7%zB^&~Ds}J?I3Dr~YuM&3`qbw);KyJj8P< zMK+MtcUrfc#tU!PC^1}l7K$Qk;r4XRJwQ*W>;T>Mm6gNrkmKW^WgH>kbxZa3fgr;s z**|-R($m{J-R#Zh|I4adQ(b);nyv5+U?I;O9f1irg6MH_Y6HRyrYN)=-pILbj51jV z&D{b}io?d=oySnrgD5(It(lsdii)}kxO0B=#}h1Zu<5n)Np9Di_Z4fGOyRHiBO9Uc zbz~y+jUsWT_;vTL$&at5C=2^u_f#{cs;zKq__GOMQ@{rI@$%~79$eb@(q?{EB5Y0M zYh~0Ci(CTN(iZxG-d=Kk+gRu>r%n?GfJOKXj0pehs|ODr5c}$AX^jJ>Q3}}Qf|pV6 zXpD&&3Myo2$($$IePc8aw&Wsk8G;gv?wv&eX5_c!XfmEa)_~lc9A1YhZc$NDcv1_C zWsn0YDJcN{(0E4xSku7$D=37Gi>ozxYy*%WaEM4+$qqF95xuz7`z%xcOh~e}j~4X>JC}miVK@nF1+*L}3okFP3-Gyt%OQ|O-sEEl@{?qlkp!Sx4Rq(Z znR0&fOK6r7shLGk0@`o=tW~yET!#0eV`B2HegN5`yYF)N-_rYTMRh=6fH2Ns++9n_ zSpolELu?gP0@Bf%uQcl%wMiFz{@G!=8rpgA9NVByfC+1edLo38jZFvHZ;)HI580V{y%=Bcw(D;pb9_(2kqwVfT#*456?TPPQYV`{Kg_wVBc zfTS+G0YeDT?Y5DY{sMt}4~)J~<<5<;2FQs9a|(W^IiqQuXb*@RFo&VuvCq7YE#8We zxGFsLKRZ4?27wZBhRL$=jSZ>jSEDGLF!yZJ@IyaPZ)@$&Xo+$REwfavY*&7rV; z_N>gPk+2<}5payX8_ZDE3>IrCdLRxEbP=;AG^J%_CeUI5BcTqBPCFIqE4UkMUUvZf zQ_*Fx=x{n!13@WsgXD%71yv0VncBmqFSE0=KuRBH2;XiGyUmbWG6Gg18e%9*g7mMC zIZ_S1Ylju}IoeDlQlkqF|3+|&i1_@E zzlY*eZ^E-c161_IrX_UB92_n-#tI0({Qmvh6J9`iQ&OgX_;45Ury~jIM3euupPt?nkQ-Qf zpd#;q_UKGae1j%CalLgp<%WFt`sRT5WX-;z^3^i32ZR2|5XSkQBgy!AmChp z8E^~X8riFwlyhOK2Wx_4_sHkRO$Tk z_%(vz$esTb>IFu(c8-^B&4eq1l5)C-o1L; zksPq2bACeSxe^xZ0Q(8K_Ns31P5jVhsF^D(37MIf02aBqjQL*Ao`K#5#{OQ^)6v$} z*2_zH>{s4`E%6525;U3~dLJ+vVv`_{b1!^+>NcspX8?j`);?@=?XS^n2Gf}Ghp(e4 zg}{Il@!a9CzKBgt)d!xjdgm?}iPG>29)mr<0}xb3TH5-125T#$Wv#~19gc^Pvx+!L zU>HCT8!nc+j2=7{O3%vdd7xI;IZV^%zlK>86_u#;^mImQ<6ISHW@hL_gYJPbC@i{a zt!S7=2qXLq2?7$iyIJRM?oumMDQG?M;6bIewzXxk4uFsnByMI}Mb2OZKZdSB>^zHz zGy;SrNHy632VzBM;S6NU3kFqm)UlNm6ixw!K~{1WOTjFbon0|lu=)A)PS)w$YbsNygaLC&r)M!?-ok|ZB|u%3(~Nr-5?dr%vB*tQ68RskbDwUm2oL4 zENdKmHerMu|Fh*|iwD}<7rG-!%_$t_TVH*RB9{rdX=ZoM@)Y18=i^7{D#!{z(eAIZ z_y%oYHBk>TNCWNYHP$6b1IO3I;B zKKWGKF%Sez(By!;wHA$4;-IHr0xItyFNIY^;N-LmY{Yue_zT!MoAzJ=09S+tlLMwk zxVI1Ts-~7(6@>T$Df#W|R|7r0NyKtgSr)XNJx74t}T`4B@TPIxB{)fN?WAIto_)D+o>ClMn}R zt*)-3z!Go^Ag|~1tt}rvT7dKbEvpw5Pav%~4*D3Xj_w{aWb9nCca6%@?JtYYY!4GO z<>c}}OYnxv;|x%Vuc@te-AuK*Vob!q#Rl$})Yf(l!*`vXo&BXHNm*I6|6SKW=YTo7 z2~)wO2{c}LEWWO9Y_L8w{Xzo3b^G>6{$on@KW=w4sNJ`wc=-4<$EO1W1Hn7h)}9E# zql~cYTyzG+zMr-Jp}6>bbAp`*4@`U^+u^&SqD{b9dRaqoTwPqMDl22>P1L(V@)+yt zdO{-}@}^HJ8~X89+UIDI0M@Lsxxj_DY zkuLTDH?Q3TYiYd95GmIkj4lX1fVCtM?~mrZ`HK(Bjjnc-jIa9U=e$sY)i| zZVQIU_SV+G;GkS|1JG3%@dH%ygT@^c$mOLaz=>+$&oJc10nQ~eht@0IF#`~v7BLOGd-82}ZP0oX{OneOiHaO+^W{(+BR zyL-yE1zHJ4Q$UK^K<)r9w*ao$?7E6G^BR78I@BEm_bZm*>@f5a02NSK`fx*V>oASw zbGS~|9ZLa5J2)#lGxfXh%h+{F!TH|=b}N=s_7IxU-eON395`lPYncz+{Q}$@s0@%K zBj`N<#oN97cLML==H@Ou{RKl_$@dLOC@DqZ1|sI83BGVbFBE8ldZN0t0`bQ%qy_d3 zBy!yeKNxrW`*GXi*mMy{jRDC8#i5!StEko0&Fy4sIzBeG9Ux-gs~NtP^kDZr%Y7y` zekCl{3ZUs=vvOms^c?~nfq_<-mJ0Xga3CQa$S@G4OSlLEd$T{1J%Rf zn+6OG)*&MXc3HDP)k>6vo)tNz(d7ZX85o(N6+~J~DK$`M!RyMQ2uaj}<}EmgAhf6O zWpg==KN~f9lmT^gz@*pk@DL2h$e^l2yS=geE#^W((F)oBOiW2m)-^Mu0MNJDLhP$T7ADP4Lm@dy7FS$y_R!*(sm7sqnwe&SsRk-h(n14!-&1q|NFEp{u*Q zr6{^I5tN*q=9GwPEnS_Pe0((^5+k2EgWB!t>H?S+dGLUhqqxrsKpG|qiJQY=s1w@# zmV_}x5Wv$u{B$?12?9rTv@J21^kl)3^G1q!2q(DvcWG%92$IPs48%5Yv({b&G2i}O zU5X<1BZtR06zC1KLC$JtZB2+-+u2jf7kAgFZ4r?<8otV1lMr2|3cqb}2u zZ+A#a&)tL*T{r2eckw}VGR}LZy^bzbO3vIRC~*f*o&@IUm_>xwe6Fgi)6vzn5yjCc z<9V@HMBzvLb$K5U>;zg*@L86lqr*)?-?Of>f?mJokdx_Clfq5{S6jWCg;^DfojX32 zFs%9Wx{m~`(8U85{`Bcnb4akNXYUSzCv9U9MwgM!wLKy=? z5o+7gk^SKxOurF!HMLK6FC4#T_({eunP-T+N#)azj!}37HyRf=(iMIu^d|Yz!onV` zJF=Ys39LIXrpR;zm<0?_B~wJZH}o@m4HQ=x-GCwh*?aIMVS`X}Fzez8gcAVU)Z3h{ z&QNDpX*;{#oj?q|dVI0DPxVe?$J=ND?UG8BY?yEGT`ROpek^rI5}(Ox6m0_%0RX}9 zlBFm?oR`>BXcNw;hw(wyL!ATQP2QHoqLUz@h0MEf!wOIRjWHx^9D zfKdXCOUUGK7Lkt8@p0&A6$R2N^}&4oAq)X?8P-K@OR`k~F@VAdo|DI2*{4vO05FcX zruowPRaWdSeWGY%pj>eCcOCs<5f2OT4_+hG!QmM1pb&Qc08NExXB%U%kZsp*m{GK{dC&zS|?yY*KkIKos25+hKt8dfbGx?psD(}fW2egQQ zc~RL1XQ!uNE`EiEI4q=@l;6Wg(dWB~S+xS3CLx9T;)CfQt(2Sn@DK&6W+U_%7>c$w@clzg<_Cyrp(Iah#skHaA~_4mC6m zjf|Dw4jW3Z%1eyH3=E7vjsWL`9uhK0axUb)!?dYB7IQa z;ri>BCrTdvm&8I&(&N>JAhb`8kD+HHbbWvE?{BZak8ZmV7QsY@f;Munva+%gz&LVS zGOSt8z`*0rkHNvg=xs^a>QA3wT6hMmtC`nfU8Un)%lkyfUH(^6-`;xd=U95q3Zr94 zDJxt4Lw4SVzDC2@jNT5-f)#4!B7#+=N*eHNp~VLv12?Vo`fS4J%wI~^dcZS;zU@Kr zd+30{;8*50i!5-l&(Jf4GBAZ7tgt!4;Qr^>Bpb>(nBt6CYaRZ|UQ5AS77V<(>quoL zBrH5NF>%xr$B;Kf1M{^IfFP2mryp=|sB~1_wgP!$X=8Kpr=sn@qJ@Kl1Km4r({@BY z?(0|_5w{!o_}7Vqzgn7d6AD+1j5{uVoE_hP+VbvI@aV|c7}|#lB!DW(x?t7_9z7Pk=qqi2DGt>Ox`^LD@rqSnl+= zo2UnK^}Lff&_;yLBwT$)dr4X(n77PN_pVu)M7&)aokk09`<)kA8hVF(Mv^Vyg`ZI0 z--Y4;9_Afp6=X{Uh;J8v4K%G=tH|JZh?~2+)*5YVq5(Jn5D1EwG8+9u@&&4t_tdVY zvV-_$sfb5dmKB{tg<8GgsiE+UR$ z;$(}*&3$FKL8_<)^cX}P6b^Gy0_l~!LacaZGZ5Iue0;%g5{;F#q&Yd6oUrFxI>!ol z!(w}a=m|@KJpgOqn*n~`2y6}p^ioc0tj{bwTuqAoGYHVZjb zT4GZONT2NN9d)1VGJUf!myArgL$CDc(bp6n3svpO2TqNRWDlwS9Vc!X7%q39eR9yx zeko{+@SBK?zsK&*PA?ImPzjZ!J?d5_6fa-{j8x}*FpdGag~GzYA?CgwYsA1P8l_@XD)cT zVvf@OD`nC$${yR>w@H|*pS)~rXh?9#5W`MmD$M}02JMPFl3+ir4P}{><6fUG-@1SQ zK7#*aEX&iUG^&|_@plFWd0q;llZNZ6zitsf-jUNFG^j-lSTgtWNs2PoW&?hP?5INa z^e6)xO=QhCWM{(luTsg{sPLyrOOgJFW;LX14D}evM6d?&9Qe3etzq- za+G(TcivsFe zpf;qIE@(C*D1d-}rnoOIYET0cwcrt<-_rvlUs_x-v=$4JzLy5oO{TAn{El2-+*hnr zecu&=XDU>626O2!?gZ0{a)}hDu*pRwC8QuVO7%4(>_K1BZFAWGev9~BG??p{;bLP? z*V-o+*1&Q@Q@?zG78G3x%z7!j@^*DSfFS^Alld=AYOzYVx&1|+)_T>*dwPg1B_-@j zHuN5Dp1b{n6dB(Q@s~LR*+C$4MB&`p&M$+<>2F`1;Jgheb&JL{Dt?z2&y?g(b&&GL^h|^eFedIbrL%W-+&GgXr zCN2K+=Pp8KNcbcV#m~0aB_ds3RW3Egb#n3!Q6>5VbH@&$l5Ej3p$n_p8e2*-X!36_ zgeZ*HR8;o*xf(q1AUyO{D;1tWnnQdZfR}-sI9Xe>3)dg4P5>tnlrjp`zu27-7;Atc zbf1I6GJlHy*=Sd1r_5)=aNQD}`||Sg>Na_QTK;7p9=angQ8xT)zN0-wC6T=U46Om( z@{;nAmAY22VZHMTmTK0cjV0~6Ix=wz2KgMF2iF=Ro?lmbO+|Qg%f5V&vYk{FMA7yB ze|lI7a%Cnla*;}FhZCjYd^W>n>AqR(n+ESpGezFqH&hB~QT`27lJ->QYabUI8%{eU zck5r=sRR?q8ZiACk5>C0-Nya_g%&xrlbHAdkka+VU21Wk1lHv_h^Gj2ZkSPmVK}Xc zh`kvUiD;@>Z^?w3Z)y<{-DSl# zGlTOAeg7a?_x`-pl~q7qVdKe@MVj)Tla2cn;htmZWI%x?rl&VKFMa`wUBF@L$-5G0 zB_weg<4DTMS;1HwF?M@TPa%{8V)AlXwu)P{&P(X{RFYZ=d#o}t!lD+3wo^07;$6i? z?(PeJaOLIqyu6NY8rDhvh;Pk{%gV}n_s-nf`YXs)m`?l9{5Mi@^~-p&Mw!BHLbr4su6f!9{=Va^1v??Sz3}qVBJi3 z*wOd>`wde>!&PMw7ON!xFimVZqsk3}Jts2l5U6F)AOsHW0L@S^D`8Al_~mgaSRtp% zpxQCrczNY zETZJ!9jUe=6DIiaqq@0`2)sammLq7vLD{OL!il?;Kc4!TP_1%RxwO)On|ZVInih1zp%r=F#G4R!7ha; z#M>&9j3wTu!7|+#IRJ+Mw;g(D(5-d`Sq@e$wDOU{5RTM5?)RaMPfPm@y)Xg$AC^{D zD3zZ+CG6pee3B_XXf{iifZl_#Y*Smg(-gN$B!RtYMPTG z-@?(9|D-z_lb$wonkL|;D1{scV81suH+PmRh%{?`ucEFlJGh>#t^@}J&<;e!HFgAL z7lk*A`Cdk(3yn0@OJ}KeA$4haxgWSv;F$-iq#}m#kp5L(T@e4f;LbBwpBjGv+c{9cSuwAjXv6f1D5ePCXOrkH?RCZRP0$A! znLHjG6awd2%Un;JV|z80pv`zXe>Fn3Ko!7c!tv_W#Ov)PF0j=aE(kd^Tws(7t!1*NZ$+^ z8F1zNyhXup3k{*#KGF0@Ejswnv9U2qIBuLG=rnhio8an-<<~9k3Yw5xp*1x<+J91+ zc#lwuBFA&lb^`?4udkkn`;(wJE!_BU`QxqxZ*S(xKl9vSu6=`paFFU=034@F zuqWg%`Uz7iXqfa&d6u3XsHMj2LD?CjF8>w8tgk!2v_jSNSvWgT!Cl^g5$BDKM$g@+ z&_Lm}3AVGh2Y1*XoNwdL?r}cSm_-yY+4XxMRdcOqTnim@xhIY{N$&%JvL)pZyhfMb|A~m>240 zI-QUT#eYLp{5dHGyVbF~G)@?Qfy8gW^Avk($W`S4dHf5KuaX)=^}QHt0kje5LT`2U zm#qAb3Auq!8&Wc^xoasak9m1c$ASe#jI~39go9Df7lyw3#9n5w#2j$8m)?A|(8Veo zYKj#wUsc4#nNIh5`-5eS{?|Ti(-MzMjP~>-5gng5Z{FAur_SZ`qbrARZqNynwfIy~ z-$Arb)G~J9;K@01u0OBiEyTI*j%V9CvOoQ|+;iLaio>^93hgF2s+t9(Lx zZU;Bod3@Dxu>{XFAB8kv<{6PN42uSXa@#E-ivv^OG^3ygdZfJfuW&p zw26J#KwhrtmY&gPM&FDgd=WdM&+cZ=6^ep4m;OE)puQ!6Amv^loBibywf!MMmHE&$ zTbnXMFQG+ANl~#1S^*%HNJuoL0g(p#`poUpSPGz4?p$wXiXZy%6Yhvuh%v2EZ}8mhsO&9G5#-oeZ!a95vjVGl045o~e8~YxZ}tAM+P8|f zrSF;Vet}7FB^DLk?{W=-15WKTGitfVwnIl9lr-1*MTI0wz*qsUYL+0HYp|-Jo}R3n zoch~5Zng;TfyK^HV3QmP#wftK@?cb#;O}M%LBO}pwZZj~<+iP2v(7H@mwRV?s##xS z=@MC+P}@6)+L&s8%=KV*TivxfOJ{x5OegqTnFtb%yXbUSwH?l)6SyUV+7|@Ln>Gwl)&= zUrljOD8>s`QRu$mm%T9HNDHAxsDA0jLy@_AX#>Xc zThlMW?=*5YH$j0pIz~iG8VIyg2NFm`VG>~JDpgM9g`r1okdO!vboKRZ!fino;DiOU zq!+T>qY0h?=b3KE*#US zl%wpBQR&BEAdW2pGeCiDF=77J_u-5)a&+85<~2T*t+h2A3$Y&JWMwKYiCkDvI=<8U z-`0}98Z))UinF2)Yi7+!4(MM+g&8HbzojnTzb#^m=^4?fMJ|$!Uu;K&g()4^lp1M0 z*$UlH>p|PYJ|ZI&j zID{w^=iRxds*=iUHO;&0{g>NbN72K|E~3ekeO`?bbJo(XgGlm{<3<&=YHfalh+dA4 zV?J?aN%n>BKvs;z^>*=sGxsYIK}XrdilI>|CsK<+-cs~R()iDGWDT5?_h6v$9~hnY z4L+@RA4kws4EN!oym^B5gfxpQ$A8dYbdQ1|Uvy{o(Je&lUUjDh$+8x*GX;K})+QsI zCzv*`V7NZ5vAvJl15D@PLQx1gWj6uvMm$#h9s6RyvNH29iNQ4$=!tsmrx6~sAwq$ z=P77u#eIZ%X>LubQyTH&TECVTIy#EFiHX`@Y5kk|xqDik>PV>i`8`B%CckVM7<>0@ zG&dZWz<6?h1_e&4YMON6D_I6prn|4c$>hbNT(&k`+{Qx`W^)siZ||uT4nD~cd}PNK zRg(>A!K@wUvPft)I&Xrg+f4k0LXVQ4qAJj}YJRdKC8w0R$WaG_5i3mW?2*0Y4k(fop2r+W z-s3pF{ykgfSIO5xQ_>7e!qS=bxTv4ZpHf69iIPn*Ffo%Gr~ZMINQp+yGBsX+lyJq4 z?3use?g{rZZsn1_yv-_HA4q>CHGxu&N~7tQ)*~9`a@=5ou1!;M)|aT)lD3_)vT(ik z4aJLhhEuqaLb;3IF?=#}Z;ws{Whw?+bU&S5nsH((^w!>CSKF$x$@EW}1?SH-lYCl=4>jsVE+Ir4u4TV_vkl}3LM-J797l!5lTwj>r1ZZL~nOG zEU7JPD3f?AJC|LiT4`$#r>CatPo}E1ixeNCF04fp4|wPXQ-9SXCW>t9!fl1xa&w20 zTaA*K?Y(LknGxsgY`d1}`0&Eo@20}yI%`pu)Wrayn;q#qn38vmSUb$+CW@0DC&1rD zp;|z#OzbV^k8LBax!_5wW^X;yLzP8i;Rr6UQCwXwUgZ4jy+Ck_3K4z#PL!Dn3itjj zLHoF)LTCr8aKE^cM)Y86Q0Oh?I%8ueG^eSkNBBm!dmMtZ|J)n55lY!qye+N=hkbCo zaMalr7s&)mnTKPhpNE~sJ8uNEO+_nB+tOj~p*o^wkaAV}i6?O;_6HFeJ>S7IxcSKT zAwMEz;SbYc$(sb)rx=pBjgDBR)+ztKL@J#UU=zaucSc5qxvM3)Olr|h?wOB|tZvf2 z_gsE-2`vF_%LjHaj+V#9_yfgXK+2szjYwvdKSb)GJtF}RR9@BzM(-TNzhfv{L_~$W zO{&5#$!I>A2VvD~YaNr4zC<}~yY5`*AP^;~nuQ6FudA-liBFGtFluisI#Aq1v86lV zxFOIj+RK#{B@RnZdt5P6&1AcRIOBndkgzbU@N^-RFW0~P{0?mk;8-#WhfzaiV7CF# z6X_6Oi>tJi+3?JM%x@5u@qbjzK%M*@{T0 z)%r=QKXbBL7yk*nj7|BU$IP=AiO1Q}xV5shzW<%EOFEO+!AzDI79Z#0FgtbiOO%MH{Rc_ClT2EC+7gsa zXuOs9?wh}W*_es7RpcBg^jKcJ9e9)T;CqXtAwq-YVR%u?zFJ}h+aT7hrn{W@#t1L- zADkS^bf(4S$OA^TG1`a=6ksqgMWlI)fbN#SlNe#bZw!rZ*l=2lW7BQXeo9OuwW7=)To ztc;)&AaC^?j`VJz^#8w@dhd9u`~QFZ*rRM2A$#wUm5`B<8JT6zNQfe2WUnM-Mo2=X zv?L-k$!G|vgvcmLA(G$yT<_oKcKe<`uG@9%>f)T&d5*{9{NXA>@&ORe^W`?Y)$#V6Vs;{N4@jRTp}X*PKP~%Kd5WS zHeT!UY9RSV?! zM=nrkM2qj9*wiCeaAz1qXr`}h)H)^--iF-t)? z2?h^_FKzAZ71mR%PC$~v!@}?fu5ED?m~s3~&8kT_y}FvXXHPNJ{5&;7_wdc9HcXap z-_-Nd=jGHiMsX$4Gi6jIer$CUexNuNko-F-S1I-QDV>PGe@4f;C)j^IBt7ESXmL+Z zn=OY#>6vY`-E*3|&mVvNn%r@CpT3k~;^8%F!8UNrP6Y)SnVNat|IZSb@&YpT@_J!gv6_8B+DRd*P1?{vWM=%s)f+Sft#hp(ue|Tj4T<{mic!@$`7FUYE1Z7D!EowDK_k!c z3+^-K$>D3qQpL>sem>jj^@R3)7hjH#>N6XOHU%@|auxP?gRmy*_xJtIe14XI(F)Mq z@Q4U+Pft*G@z(vu$)FyFj}if74Axz_%}*`R&wxFgu!9}nI<2%<&C#WyaqQMZEQH?+ z?BIGk4*CuJExVQZp-Dbef^hU{COwbC#ms62PEOTxkpgA3+Pf)4IHI$orA1B!=}_KE zurSnj_e(#XloiZSvETScZ>MfF|Em0y)1#^M-yTy;EvtqKUFWIfCD?ck{^HulQF*Se_ z=QF=kA+&zCvcHcv@dfP}qz6;LW#2Fpc3&piMZh#9hxJ6h7;`G$7W?p4LTIP(nY`Q} zfgPs`m78^x<({9KApBd?0t{NrZ9l;$R~Vw_d1th~q5Y=w5!K=t7SjCg^G5YC7w?$} zbe?Zi%_kfqp0=^Rraxjs^gQgIePVJX46n?-`tc(&fc?Oc_`s`{Fz^!m?{(MJ;)rol z7i;n3RM$RT{ps)R&rYb?)S6zkrnqtA?-SGgz9&(5$o~WrN3x_XVM1*+>RG61PIIhTY7*7y#fkLy52H(R zlnh*~?!>wiP918e4?OU#M$00!TaZIWQv9eUwaRdNfxiY}WWs86y-<>p5G~TC9<@7q zOJ6KgJyFEY+H=I^TW9&Mk+u(AIQWy~9ce~A$S#FRv1M|D7?BVjuAp_bg(Kj)n#v36 z9Sq%1!i(>;Xi7=xs07pLDNAO79ld$fJqZE?>B>KD!O}Y# ze(3WLCQkn)X{C?({Zsh+Coq|WbZ-dy#0jrHrmh>Iu_`@=FNHfcsq4wG5DyyHW zR&pzc)7hk5PHc_5s8u9r**OZhaQA1^iObOE<+&Um@%5XU)L-A2AseJrr#aq#&wzR} z{s%$H_2jx^TyC865mxb3d6w?dt7OLNnJNcp=aTi>A|`mt7zokPg)TH?ru7|HTJIL$ z(k8TiGx$Yc-`93*jBq&rU}og!FS&HTsN{I5C_f(*j1=D0m&AY>BEpm?oO(Bx@+TVG9T9ku^-;dbuolT zkK;N8crq(1xPDa!s}UX^^0b{Lai5TRo;)wamPR*X#LuoxTPW3ScKBlCHocXVkSJM9 zom5;L-@TjS?LpTlK9Y*Xr!!R9hHD(Typ{I7w$+|To&256`C%b3=@?(P)s4OXwl0TA zg%V8bs}*u$Ubni&i03#{`;&IXj3-=Dm%ZWn{JWZY-{bg;&o0Eg%)3+HT47L}6cE6n zc{Hry(A6-JOvNc&qv!v9FwK=^$*7xfCa4i!W-U_rS=yZyHa;A&I-NtZvL-t_=QbgE zRVC$Upw3CSkA;%Q5t_4;N@Je4-tTqd|M!aIkdD=?%~Ji$$c;pr?ecvwqpI8tQJ&Nd znv{~#FNMWZR$RV0^p!|%R?JRvb5JxoI>#I2^y zH^(8-turJ)a$47)WcuR)Z@Qyv?y-!spRx+n@;L1s+Y34Z*1Qb&#J*s6rEMi!Rcb5m zZJ1P0-L^P(r;0ZqJ7ea|-3hDGe(aDpBp9<(WM+y<=>;qN`$HAA$xK@vP_0X210DuO zOK8M%AlQHp1PGa60|B-2^z;l3{f!A0WX=VJL`Atxl#JzFhQXQ-oab~t3q441XIjak zc%b&cJnoY95!-j{=L7ngn8`Gp$ljTb5GMF$%=9L-|C&>;9CTqeKKqc4gCHyGw!{6~ z=Qbg`w)`v@09IZ~InQk5f7-k?f%C#MiU0~JOWm3ejzQ10O>c$`^6BXjVxDT5)|1zo z3E80mg|-@UljErD^t&O6p@_-Jd4s7orfY8+yv_M3?If$N4VSM>P>eb7edSk`%zK*^ zMEcsK#`Z+d4YrlTd+)Q!%(|T8ElK0w%hJu;UZ#1DI;4w>V>)$;up{P{jE)YUtn46- zq)`pBk<|)`BK94MsFsFL(dHcnyN@oa}7>jqDQ- zWX|hwg*Ca+#kA))a|G<&5S}MnrfO6*Xoy28IYc`<&4d(=gkbr9mbQ(Gc#Vtk4rfJWZ%FD4|KMd?<*(WMDs4R+lw^0#Wu4>e>%upcr4{^ z|D&g@(TY<~@BES>4=wpEc+Zs4DLZ`IXV@RU2Bd{Gl#78mMm5YsKa@AJ=&$#466&d& zKUAyMNIM2LR(4OQOD$zY$N#v`=$*0K^{Ykyqw(f=)~8vGabLcE1>jYNIs!QfcJ;l zjvZ-4E?9_D&>h|#`8-P!J-<5YeyHlI3*fwY9$)p3q_}3IdV3_E?kdO1PM%c06KU>i zgGcuK`I{lZWn96uO0Q0+w6IQpPD?wmzK`Oh!_-^GqiL-c1OwN1><e*jnimKo^VIUCdR9;sH&n*A_`

      VhBY531lDmZb#u!>ZDTUY zE9XNUpYZX}%O7ub)v*$Nr_pv;`=jLuUB`AR|8MfMMW3gS-lZ;)rR8_0*j5d3-6QiX zd%r4`^=eX<+~{YqOD+_x!3=rThF-t9Ya9++$%iX|{2tSJ_PLksLXrjrMm;?*1hshQ z=91Gp>RpR3ydXP9lb{zu5?7XGRDTpEq9r9OKYxN4u$!5Aa&B()@$cISWB$spIf($E z3|i%OwtNv&Jx*!&FSLQl*&d`*Cz{$zVzF9w7a7$Zldmth1 z&$Dlzo)QgRo@y24=2Da;k6+mRJ-8D*&qJVvX|K$L{U9ae$tI=HWM8^O5-Gy|S%nb8 zcg_+5^o9BPpKHZ$^}OgHrhW~D1|(->6Vcn7rB|5DUpWRRW+t@8@BlM8?Flba zDD}~5tjO(HS!e*eysmIb3M_$rF_3Bel)KGwQI}+nQOs#)$M)_?t{6ANW3AP0np*}f z=bhHt=1AVN$?DaQ=P0HAYMZv6NR;5zBs)pn?78E619N_n%8&0n-Wnd%c2X@{8I}ft zR+*JT{YSJ@w@0Q~+1Nnnd3Y|$%<~0+a6HpXoApqkVCQ0frcwG7)M^4?)%JEju(t_i zAUtXeI5}XkfL;CKvQ=(XWhME9aI46#VR`~QkzNM3PyKuAM`9xMt81DEz0sG094stk zWfYCF6A=Wc3XbZ3a*KxL!uj5aZ=rwNbmUij6uJF)O$Z{!SChlv@W^XfTzGl3hZH&& z3ri4!0x0CHlAZ7Ag-o2Ayz_OQj=%wVvpy5PTlUt2!Jocl5MrRhwqgC;bCG6xXX$TgF57&I<>IV-t<=yJ@1UMo#Yex_OEAqK0DS$z9kvhm>f3!MHa|< zx;f}Vh+b#{Rq`>#;tc0cGt(Y+j;CZE-}6fnG&skj%*l7;Muv6D=__w zFF!&t2PS-h;u{6ZROaGicBeT7KURcmPM-)`WZU>TJhm!ZzPANPwFC6+C!uOE0u<341J>w-&bV9evVC|yhv%FC6^VvY8 zzphS|#>SA^t1oN0{DL0izd}u%q7$vLSWuD@63~>+jop`wfpQB|MRdGJp4!+ndO<^2 zUQRjz0uSu>R)7BN?WwLK9D`cS!Xhgr3La-QhM+ZG)O8L&*dOdByNQx|qFVXTBLsWB?Rn-L^3uUN>F?Mz7RWO~Z zIC#K_hR_n-{h{f}_uO)cgNwAoxS=8cYV>_w1z&vv^ppVUySlo73v5B|)zHuYHU4*K zc_BX2)z$r2S+{wxbY5_dYbwFDGwhWxqc0M%;vCBL1b9s&hpuSEGeecjK%NRSd-gQLmJVXRDvY z1N z(f+aF{{5)+WqzE6oZ#$X5bBj%4nH^4aTvrxDhO30P>6R#G6(c8FjPrO5i!XRL?Hs- z*(cH4d$cVri9Gv&4>jeQuK4~S>Y`-W)7PHPD(n$p#~pjscd+-s{)n)n-4n-Gv&0kM zC=~-D{FM6E>iE&TwER)kJ|R2VK`!AECGnKu@ej?SMRbIXjghCNA*#%6y{VT#^}Rv+ zCMo89(ePdj1W+c(MP1HFPtV_Bd#&`u=v_}ey$+B)F%KZJ;-Ivcn3%xA`8cy%BP{Un z;q2?zXQ3WB2?Gl++x4cTPB(~2yfFxdzV*qMQ`U_(*|q2IS6Fj}|M*Q_U$^)teb_EP zkw8$9tKP@$V0$}wUU$*t8M)Uut%3WUtu=eicNz|#x6@u@u{>5iWe`7(&Z0I8~xQ6X@j3U^e*=Q z^J~Bd@ia6tk_Jm`y62*zSKp(kO=YWqi{4=2<9UK7Otj>goSFg<4s9!Da4;iBtpWYF z(%!vb*80F1u%^bLD5W~MG23zBp(Dt2A$;|zx}>o#E~GILBj*@Cw>C*Q#g4YV$_`rh z>x(+}UM}I~o;|`ed8U?@p?;)RlV62TmrWn8ZQ3Ux!KHTL=+&X~t!H$s-X%WK=t_@e zxX$!=mudZann|3ezyIQwFP%kiHdCC(4}@FGj_TbNVPK z3A?q)CKz2D=GrP^$b_dl1Gi3bC}I87tXDL*>}tdL^=st&=Asa7 zX73TX>KpR93A`No${aMhB5m2Zxzbx%FTJAwuH(1JgHa)Rz4&J$G`Y`cGs-(IGX&o9 zSftEpqIw`4xW{EfIFiaF*5fm|DD~>H3#D@lhmi2ajD*Rjkv)!WS}YQTn7V6+wk@rN zxU;7(=5~(UDGp+*OYRczrGD3DY+_QZe4_BdgVUgwg@%SgmGcKCLIm8xFfOS3@=7wb zCSoQp#PkF;_up^!yC%2?IS9)v^@Ke%d)3b^q%^6A5eP0k`wpsdq%P&T3^Y4;ntJ>C zd0$LF7;K+gc|?uFKD+;Lr1srx+}iJP2W&!>@Ts)-KP$a%+@&AJ$Ju12uSE*z8|~zA zIUIUnYn@OlJH<$F`Nd(fXm?k$h2t&>^|>8n1j2h(ddf!*U*@v;=X1FzTUUfuNtag> z({}ue2r6cFC#jzv9y&q!(1SddEq7OX+xemDp@G}Zo}*a|o%wUi{5%)q`SM(NaEF5s z*7peP9NaP98)FJ62}$Zl7jZ*=nVGqDv@zQxhgF!=fy}WsN{-9mpv$u(JIMlfd^cFu zGL3XQzn9G5lNsW+6U2QA@2-JWf&ke0|`rj{BcNe3W%}%z8Wb^+#vOkin zUv8?x;CYwM4}(3dQcTM{bcFx#aigm-Ar{O5J&a~An`$}oNcP@sGu(;G5vLTkGyy(L zJ}3gEY}7)NXBr`W>-9_9dA6UKyU3U82 zDg8ay)>usSMcGN0K~bMZf_3{Y6b4pZ0*N}b`0KLb@7WUa<6YZ zj?R2^eC*fm*QX@aI6r@`thgGMO?NGYy6?b#!u&dbCHtI)?qcTr_X=SQWsC}KWlj3) zF(z?{3!#{RKktz}&$%mZ7&Z8&*4)`OBF~kyIdNL7E93z8Tp+oj+4uMP^2PGU=4Gm8 zCM-xpNDQy8lUMC!nPq-7nR4^!;kUwNKmYx-{+%WMdJuL8kl%s}{RNX~qQk-0dK}k8 zFhm>jvUm<2eIsg4)?i5*BaMCg$SFx%6Lt`xjIm0x^5c_oUZu}iy%v+D1%p!jHR4(+ z!vZ$CD6?Z{p0qqE+`p7NvArvrH2GN!gU=W%Z&*ndsiCkPTyCJ70+STl8waq%6BE0Z zx=}8`Mg>R_FG0k#=5&dEYWaMnYx`gool}dREB})x6JHJ0`D(`Yw7ZC_I(AY`MswY{ z=%f0#yG~h#{Bg=bpGC zfqOxe+RWU5z#oDT2;Y%WUbmD+N&Q4XWl( z<@!6G?E00?oNgC)t*(xnld}=BYIF&aID6N~ph=lUMKU>g_^IZ=Qz!B4M_P36-h9`% zFMHlW zXE9h~K(mh-INI^ksNPUk5X}JKXn=qzqHgU&(;DP~aHrCf)2PXVdl9IbVcY+r zt_(1;u&hk9k-=?gY%v(2Kev6@Yd}gaQ1s5u&JNRTynTBKjS>0^n2NW*=d_a=##}U< zK1QPb+5ZwL9j&}JN^LcC*)(jrMn=By zXJGNUU}L1@ZFciP{Z0FZ88}D43FgE7Ll)c5yEAH!SS90QYMuS%gRzszNz+tS78a!w zsSLb8F?e~U91p7Vkwm1ixie*>LrD1=#%zTx|A_2L(2BIX#>B~%BUXKnOBJH!qPJ)d z9h#mc(|%p08lHWtfMu7>GVpi1kcfogn?F)R^d?jPrB#U;2lw>2h+J1>%-loa_^eRo zpDq1-P($sjRQ_DT2bTN?|9Y>s zOTMW)TWN|eyU+3_TOaT$5KQCSVl6Rq8FPE|yWMn`$GqT2%8#4%%gP&axvwcsAfdn{ z$`?%YiCc5QL4QIkvY44{gioCEaeg+&*d?t4OwQqoD|$$ra9<9|vFaN=$di^25xaGi zB&NcE|3;C=(L0HoFHWkRR#*$+;Jq5faID~A^x!_S zfx+bo)nn6(e2h77u;sGC!ZGLQE#c&qLq9Cbu3x@>?_P-IP_%I${9m9=cZ735%nwT(^c^X{$Zc$X?Y>{V zkDgnUN7vWAOWTU2RFhwYeW3J=C=Y$%DVB27XvY^@9mfICL>xq8D#AK4f6n$@l;e)us+9W z3imw-{{MhSg6TaG^y%$AySaL^si_H&DC1xM#iUiJC3XKPasoOKUb zPMSQy2gOO8iXW3R*r+ErS;xi(hr7NG6(`+x`aEN5*7AFT1QMAIK822{-vQ>!Nk%WJm<+F)^7j;(+f{67Mpu|#=* zP;ImbIYF()Pk2(rF(j3XxdD7XeE2Y%%+c!F+83V`CBjJ5Ld z@bu*2?p<;{%2QgV#>Q`=Z?V@S-bHG3SY;;mfxl{TXgg@?4Q73=ik; zv;7)-_`ZwpbEA4v(t6KBo+_vJ@82&A+yI);h=_=*38IsDPCyLIjg28Xg#mDYaIFd) zXn=lD#CUatzQ#KQ2o(;T0p3YjnF-9SRSJg+Hl+T#d3PJtw?z6bOtZRp2qhblFNk`G z3M})45PHf68HUS8xy%kyCML=$P2ZD{km|T3TI?YyFzI(V+wDB1`33H)?6<@8YQ!cw zQr1_@Avk?2+0j)V(YenC-`d;vI+~;z5BUOQ+#+f;=c-M2%gfTZmUpJ z2)9 zCp2R7^Zm8$?@#!>7#ll_5B2PmdBx4G+KU&TKFtzkkHF3X9|ou_$?}gM@+vCPaI-2P zLs{bj8u-){nYNSDIiR}a<(1Vn_(EV;nEP)?r1#O9B&-jc#2kNxyLR#Sxput{bdw+N z>C(OU3MD=+hk2=^Gy4Lr&BhRDmag=l!LI=n0vx1>6C*qrD*(V*MJ)@23ID{I1eARR zP=5g#oDj*!qEgDk9srC5{J#0;&qez9nymYK^9Ae+3MOv)y@TNqCVnqIRiE=FtM6_3 zU67(HJkVXzy7-BHVxY+I$mi>N83_~~9)yXlh`)lBso$C7>^_y^r$?MU8{G62sfT~z zy^T0DNHovFxMk%4pd#cF0PMX)n_Vt(`QpX4DD#x6jo+>(UUIGkUX}yq2O&IO1}>MM zKF)c1(~OIne42!Cqm^Ugq5jlgL22m|LYb0p#M)jDLNQ$|-+ahU(1Wc}5vFu->+8X^ z19=88PCmu%{=BCLURao5eC+QxL#~BOJjw>bzJ1(kqy$S#LqqM1(~`l_GDq$?+*^g5 z4klJLuU`CJS+TFGGG1GHLCDJ0H#FS(*vw1gb2{nd5J?K3|il@EjR) zYa=Br|BOr9G5v)?-SOt)NbHnwZ8@84VhPWXj~K1b8*1G|J`HZd->nzs^&TGiJ8s>5 zMrT@?Vhk>2%%75Jq1~<)tS9kNSeTh5mI{wVSY3DfVmv)PvEp64kLu#LJ>kD4hU-43 zV-7sr`CxK#5_&>JbwLzoUv|fmoS33IItsE_QDGr7O)C*Wg+6u3ssHZUt2|lfTi34X z`?2L6RA}pc@gf2p07`dwz1C`sAjk5fij+GLsqyAK4g44Q4#oj4xq8+0t${6ZmJ#<} zt#2`Q;(L6VP65+*+Lm(vU{yvtXj>2s)KlV;>jpFc_u-z}J_4Gj-h z(d3b1Itp@YlEZm*<+L1-q^i>&2B13oMDZ<2(vss+}R;Eco zBJ^)i-daPzquo%eUX5uk20VDMLOj&MG#kHlubUBCy|x{ug#g>0{PIfYi>HXKQ2yn>b{?=ulS=I)IEKDFwy>wvq4&T zk)_tX@8#9%+z5#j&PCn*?8i;vH*z%0n#au@eSSy4JTGqOyNk7 z^tCffVddh&oI{KE#tmwQq{i^KvT!Ftx9mnqnmWH|@Bgunv#7{@>LAHW-98+3W~G|2 zyW}c#N!cqboL?9`#=pM#n!NTnU^GO16?eK}B#_s$$XbC80V!_4CMwC8PAWCk?7w=G z_plY&!`X}^gHY$ah!Snv;`#ZNsmgTfUf9AQiKb@t{PC7`*W=Z%@=BOvA}-4bk%Qq< z3gIDhu!cZpU$iGkE=ac$dp$hQdSn(v!5S2_n6k0-hm3!O!AjVgnd&KX*`XhSFc{cswiK!_49SyqG zy-_+jb}S|3F*Y{KD`YXJW|ya^^!NmZFh~dv3|#*Gy9D_-7cW}k-bm?abp`+xa^}qK zucHvVz?4BR|A!%ERW#=}w}U_4^%acNlW0XxZbd+_`?;N_V`A!j)TZi`xK(|m+R}9> zb4wt(Z)wqVCautWjfo(va>Qx%NlZ=3%H#S>{;tO^2PSLlm17cct*nf3_wM7qzN6qP z;r@Y%^u6P6jq7&Er$bJTbi-Zy-@}^Tl~R|+6b37})^McVzjx2DTjz-FRF~XdeIGGG zSeSK*%eBf%!o<`k!!zGo+hP^Jk0Vy@&AdN00>*3i=~J0~VKoQe4*?zuLeGo#ac)tw z|M8F{bVaVi2!OKe>QzfSyGL-MfW{9Px02tmNy{W#9UK>QcGjDPp_{?1{j!w3fV|4_ zgaK#`VWlxL5{6M;rTf+6{~a3%i2{3fWpLSsArl#a#3V7uKWVx5!NfEnfg*p^#leA^ zP9JW@T9W!S7l;I-$6-vPqh$-u5;`JnKV=)#>EV1+XX$#TW>r8?5cfR`BcnEp)D`*7 z0pH8acii1bd3c^gB$aBx-o>V_dbtN}KG6r%Vsn>VcsR#CHsm;flJ|FO=t;P=xj1Eh z6U#lxCmrzNsi|52Nuj1jy`#O-2p7>26dO={G8bHy$av{>>XVgqiGXkdr{cuoPC^oc z`=4Oy>$k!DeiU(8@#8}V0M71*Cy7>0sJaxtuPPe%J@0i}v7jVQBE)5qXdag4``! z``MXslcJK6W^ti&%nFLWTMvGw{CFIkS|b=hQd8;9SPZo3+`qr}`d_uK7O8aCyFLn` zA!uljUxDxN>cT;fPc7@4C)>;njPl{q2|Nn9O3r2b~g5iIj7LdeqV-I+o=xpfg=B=w2d!Ot%U>0S>;GMs@m=HlYmkU6*A^i@(0)vU5Cd zUvs?zlK^PD|pg=>KA*kL3)C^If`-l`UAAAIP@0*J+!V^UryioXmh4u z?^{ge;5d9xxM^;I4@8u+%M&DuKJZ5s`}?e{LkH+90m2HDZTYaZ8NQojg1+QCW?)!N z$Oc%El=ycX=!9d{gU5pfMHNOYm6d$545H?4LjtjV*(G$RPRYF;XWfNqy{YNBE88g6 z;q$w>abNl2#ZDwzui`oMJkZ1hd}w;<;R9ACDOw-Tg!UwoiTNWQ9@?g+;VwM()^;a! zjO$?=+_w`MQLuCj6O%E1q4eee?r!8}U*}X4=2K8W%k};Npu{9?W+`Q^2M@yjauDpK zxc4Ond|21o5sKZ?-Dg_>lbjMli4drir~NJr|?LP_WkyZ%Uzk@bLW0gOM8F#}C|giqw4Cph!xpI(4LW{`E!Wn`>nMExz6Zc+1C3>}_NJy}1;IVj1}z@Rt+dq3*00 zzA5j+C?JR3#fqpiy6UKMiFO-rKX;?(y%H#z&2G^83d^R{0JgDcysvYh; zoE5VB_YbQP424o}ObO8UrWQJ1H!+FNpi507DT|6&-(*>kFdc`DE!yWG;G(#@BZnW# zUUxZZ$<$xmR;-5IDX%l8KT;Qu#yZfevZk`G?g^+hkDtUBGgH8S6>KU|j@Eb@3tOrf zUag5)+kO&M7?^UnX7vC0EqU<5K`#-4nB-I+=bL46R$)pzDUg0zD*Qa(ud6R&2npT!Al|h^82D4=7jr)nrq|F|4}4ZGU{VmrE=$lhrfq2{i|(|@ zPJQq5t)HinQ;{2~Qz?mp4p8l++`_v7pJAI~r6_eW1+JI?6Y!}GsSaO7_J?xO*4E~k zIQhV|n(nUhRh7FoxAekPy%#4*$M_Ha+CowVr~@#{5#dQ*pBrU4F-9O1y(ATZ0`O9% zVLSjz=3{6<;EA>;va!a(7M}aRmOhn+u$G(IvNuPZ0%c-&-Wr=?EucT_Z&;nvvD$_s zN!i)VYx_HkV4ey8LVv8~O0pY_4SBjswjqH_%%nEC+%{B0#2<}|dwh*m*kZiq`*kyZ z(WLH6<4?C2-109nMMlOC={`mU2JGslKA;@ExKy=P2C{ROI)vMT? z_IX=}x3e$UJ>xDW?=EzC>kIM~5EucT1ddZ@&S01gP)24>yL#;IgPA(rfj+$gPoe)x zx=FoUZ^J|98`VVBtgPA#6sw(`887Cw_w}Va_7!AX)AjlX?t(D~){IwAYMLL0%NKQu z_P;x3d+R7C`X!WNNHEn`XA44O_8a91c)lPNWoIVT?9$gaDI~8lyOc!b@2|=`FfdRG z9GC!K_^ObjjkL6KuB6$QNVIL(4jl0L;4mSdmWdg7;O5mWnf?2DwBdsY)`o=oK{K=d z&d!9Y6t~`2*;X^sGPh*5nr_pY*3T2a^M+CX$G0w(a}W{Jg<)xps8k$iWw3L4^eCUx zI@?9sF2?bpDr}bJeX?3BcJUx;5#aglpZ^@-qXB0kVJh6ENg{S`y<@v&Wc*`tFX>9! zZtJjM=;wh20e6}E_4O_^u6wic7hX{uYnuGHp8(F}JBQyAjZND%OD=wC6g$Y7uk>VJ zzWfx-Papuo-Dnq2Q7U>xNOYl6siA&6&1$xWjumHPA~G9 z)|N_7eAtki)7GOtHf?5^Ed@R6rjruUO&0Yfh+LIqB$x)b=Ira~(Ka-E+x;{ujfSO_ z^>)B3^4Qqwb(wMkoNh|rXQpQxqQJ{nIeA6w_Sf~P3tFIJz%<)TosmiBCoMAQOK~R@ z<>lpJl2uk#2CWVp0YCu~7cX3e5PbY?`Pu`a_ZXoVCM~DkRS+@j_%Ve(io|cBm%jgH zXFLs@$_Uu=%yCtw2}~ZGs37625dnvDIDhE4oK4}|(DHzz5r#C?RaL9+oTD#hUW1-^eMl1nbl`E-VtZ)4G1JehZsplrLOeiT}Oi!iAB=gujjWkuz z)mc(KY9j>A&cDAa1HlcF1Q6_qD*N{jzM+vTc)8EIxWn=A~baWuP=r^Q`3b(|cp-6k_B@6BM_P?$13)M9>s1cr` zQwRGUw*{m#AXS=~n2=i_z7iM=92Zph__WP312!x5a_-($Slcfw?|(vVVfX@Xcg>OF zB7@g?e=n#_UDdr4T3atzDQ5hOMz)O@8moWM#1C>T4Ld z(l)l+gepEyI%q@5<7Gd1jKL~0$bXBfIZt=OVPlIzQ}kjjohiYaA5#Y zO#!br!fw>yfE5^5=Z6~}^dDc&wJ{{-5X+e69tqbsZ{z~Fy%#@|AgdIw8CM&&t_$4{ zPZG*1Jh7o^@zQIUshE7uN%ZRRP;$iRv%Y=ae*L)h718$V0d&>xffaBzmN??rmO zcnlMW@eIJ;Ns!VUiBkJ*Y{xG`~1QJ!XZdoQLa%ia|(|kW&ml89e+2kit!i8lYy;}Rh)j}JscTE{0W2ax>Hyf zOM-h4ataCIt}kgh<+2C?KzjmrYg}qsaM;JJb?)5m9|GyT%vi<*ta?9(@{&%sxrK#O z1KO75B9f8|m>vJRpqx^9En%oa&0SO!W-Bo@68%@c+W%ol6NkhKQ^m!^3=bW;lo?lEz0G(q4lNovO!ABHvrLcs@*~QCmKINV z^lU(zUd;@wRv#^iKUa)Y4GB4S?Cr=MGC>38odCjv1hD+@g%QI1$o>IIAjaPPrAr~r zDk|CmamR%aK33uK%1Xp$ntLIOm*47RNx4{!dc0-qNKcO#KmTW7q}cGcEqCDD(L&G% zN!fymc&ZBQD3Ab2jDtd!$wdM>Yy^f#h)qtJ0`SND3BJv-OIL*8tACJUP{YjD`%_|K3apD`Q(;DUF zhQ-TNVr-|8PmCb?#R1FhufSwD}>+xYoLp6?Be% z?QopIA!c$)IdzhqU)T;|d~I!Q_&^}#201x>MAe20MFY47J|!0ZT@d3T2L9g-L{CFw zWMbmsgvKEhfmy=;cKwDJrhNRkcARO6`u*{xDb!4UA$zp6p5h(BBK0O7b}p|PMlo1m zcF)yf_x!;}hG5aO?qn--H!Mvk#9^-f5&5jA-u+x7AUT_8 z7KBOo+Y= zB=%iA7%%TfPIoN1fo0AJ^J#l_wzR!&2r(2q_ym9;PJ6IUu?HYegAH{Hpm(rru!@^P z7rJggU_kScuN8f+(Y&*(3;xT?KzPT-#v%(2v9j)h*>2>&qc7XvlDyx+4&xrWs^w*j zFOF|){a9I%Y@mc1ASvQd=Z6o?@M?rJx0mK!ua~R?wZIGoBHh%n{u-z6D z<(v_a4$4p18VlN}+{S@>V(cC&WwTrZpw55sYcxVaFla*Yy+;vMb`z}8(2WAde%9U& z(aJKoB;X;Aj*VexVEHB>&uGu4g6W4CwEuw(1-MQy$1W|3#gzuveBaRL3HLECLOzR4 z$P8$q2-Win>O+8b*9G2EoEcBTiCk+6iUge8q%e9w0@{7>m56c>=l%h(l1P$XbzUi(aEZq6&)2Dau);>jVQ?%;Fg--V{RgoYpehx)pqhp|VU%soG8{z=# z@hvz%4w)m;JwVSnxm=0Md;abGM}cXQQ)yXAFVf)Ik?U{6funA2I`REJH9^5C6d;%i z)=aOOqMU9VC0pr!z4ZPDPJuiK+@QayT45$~ML|Z#W|pV1DIoNUHFv-s@CKIec={7u zW4Rq7w0K-HPEQPX2q)jivD4MjVf{qE`Gka~!7uMKK&q!y^S3PNki{OjDMwpi=iI zblX7{AzD6yTq~Kl)!JLaqwD!zG>bva$$e=!0O*wZ1iqHGdN) z$;-mMxZ==gBW_uk!O9}ia^rRv2AUX*?c`P+#Qhe%{SS8%NC(7#l;#KO56?hALNeZT z<~DxT5lU2yULX}?-QTR~{l5-?SO(D4j=Am_J zW~T}fS_M|U18rXI;W!{gt>KA5pgL{p0Qe35%KMa+ zhXLUa3@oh`H)Huj0)&j;-06dFiNG}8aWu>(%E^eiz$GP!TKf&lFf1`lw1&OZ@2n8> zh+kiqwZA*P7U3Pawke}S0Oo)gE3uU}d>_wydv7^4tMA)~U-O`>ET+@#j-3>WIB+Ly zqYs9M|3M*e6mc%NFi?Y|aV$aTm6z8HNU-2Tq9Gr_qab3#KUYAUI$>1!+;SnT#LdZ{&bmDOk7;v?-eo5`*LHU%E^BaIN^w9V`a5|<8d59LR3|c z&~5?tuQDsCLDa(K8=X49KQQe;?09^Z%T`MoV=KzFm58{vb@mO!$&$nURQp&_K|w1! zJBZPcV`Ss`d-WA!Q(^Rq$BZEbiUZJ=jZIBoVwZwEfIK;H*09l9R+|h8nw0MyqS3cx zJ;LTFrWv_jj{`0^?d3hccL>80g zoSS>+j{GTpekrN+rz=>t3Qb-ZJ>mbrYIt!|{J6jW6SvM(tOm`qzj{E)fZZeN+rJs{ zH7yX@Kp`qFAwfw&0a_}xHlTcfra0F(wpYLJlS-}K;#zkVf3@!?3wfo4odpvK%PuDO zH)UdOZH95QmMn+J{W^T!3-!}iW`{k>7uR5LdYCO}chMZ75$>`06vl7Dis?b3LKEbtmIaG>JR*i!b zuGou!@zVUXyDzM7EZi3Ei+P7?8h_=KfxGBUpPFl+$woS#3g9w^){haws;leFt4p&=n4lqkY@9Yylf$Uld5 zNM!nPW{*l{3tW}*5q7ZspW^9GXuUR{n2e0qLsG&$Cmi!Q_=VGj51RKCYlOcV8nQgf zg){^NOFfMIZWk1_{y7OSoHXyMH|%nzXJ&|+f7Q^*>FG-Kx4Y&h{(D^LI=~PD&%H#+ z_po1La^xW_8=S@rG&FyZ`-!C^oNfyZB{5P15CD3{l7G^djR8aI>BT>~3C&K<=_H9- zY*PFxbOGoVod8f==w_h?$a+%}8(c*NMRsW&899N%%Esn2Xh$lV>Ca|Y=FZzp;uJUc z+#$8+f=ckTp}oOX7xnU1_{F2AAi9icp%BDN#;%?ZFD0d4h)G~yOXd~DTm$J2E7Uy6>f@rlMv=EY0ryAKspejWvWL(5J{1Q$&e^6@~)}HE>>T?r$Q)qX)?0 zO?CDqk{C&p>ZlnOP3#2#nIp~3F#rB*Oi3Z>8mFS_treuL1AvF`Lq$~78}$Ql6CCjI zS*VHs>*mhB>Fbk%m79{%y)U`@0)YSBpIIhaK`HrWPaBD{cA9H#>1{vM$6H|IpGJ+g zc&}F)6;vN4V1tA8$0k{(P!J+8?@*pp_^+=_`)g0Sy8d{n@(I$03c+?CI)^&R;b}F3 z1fro+%(mzUgVfh==*MaYB2F6C0)wN6;^)489ZbOcq0g*oem*Tf1eK=QIbF2IA4Sq- zpZ+~O9RQxF&v|prKYHfow>`U23quSj3MfHb+!yEC%f|}~3lU*qh{-Cmzl|0Z#S172 zpku!7?LCfS5h};y!y-W2q@)n_Y=o@4p&@yEW}wI)&H^gcF$CvmD+mTn&u-VEcwbz6 zg6vey(g8UW;M^`QF6boR|7E`~i65cUgSOw3hnf(xQ|yl%-7|cfkR;)S>!ldY8WtIf zz~-8oR7SK+y6eDqy1n#9%{DA{K~jj*-j@7U*w6EtkNYb*+>Zw3dE zCOS7U!S}g82zvohYAsQ6M5Ul|c2hj(eS|`J`}i0RI3Pvk65~&-r`L1o9En72DlR6J zl<2_GKpkr0){G2;c{7x*s5)@uV}TQut_<9&^;inH)?O*2>Bdu3l#|OxqXka{lsP&& zI#?ek#~&f4)jX&TJ8^KX6(kJYjxAfO?=iB(AEA~)8}Q`Ywk!eGHy($FX{J{GU`=5H zcs#u18fs!#1Yi-7#+H>hl|;GJm#msUuaC=9J4;!6_wM1NWI^8bC>-DtYKWu#jjJN5y``4Dfz-Mb*Q{oUF^GclqJ{D@cCKR+??AkyxRDf$f)X9J%>`TN~F zJgh7ym-SEV=gwiY#|h4bnX)MP#%i`n3!ZUG5iC3v{%*c+nN4!gh2>CfkdB-%|^UU zAD-mhWc-BTy9Za1Kx1ecx26es-04xZ3kD*l0_a6w^j{NVq`smRZAKMP4R;FUj1g%Z zHprT0L;0-rcUjleGy`>HLP96jR}>LaN^nkG@9kaGk;LN<;L>m` zfl$q+CQ)xEBO`-$#vV@$7ywFL;NicJYhzD!jjynZ+2y|XjKGH7v+ z6m|$E?DwR}6J61a-9eX*-3V<=)^_eh2y=Vh#@f<=Tp!Mlvuod>i3T41w~dPT(c{Nx zpEfo(@dm2x{h6(8ZSf4w;UtA)G421?+?B>txxVX_A<_!jrnWhhh!oqLSSXPODMQIT z7NTV#Q?d+cm#IXGWQfcWO-Pw)Ri=$h6;jEVO2(Y)-DmgzopZjN^Wp#DtS@`ZV!ht? zdG6=Buj{(+`^)}>hzJA5y1Oe#H>#dFgc0K+V0Xg{HrLB-}Z26QdL$9lUaVG?P-H^-C!<>0|n2upV^QglJI*Zg$uf7iKjaD^j+QC=f7;}4d*UJNX`JxF2nsJ!ltvtxv7-3b z*`cBgqemIvfrCO&Bm|_6bDeaizeuc1_a!nY7Zqp)e4x_pH4AmV`IZcJN*N~Yc~)wrb1WS)-uhQ{Z{|+EA+77 zpdg%bup&mS5t>2#=V*RWn4QhX&!3c>OiW)adW(CWn~Tqf2k`IDXJR1z1Cg3p0N^)FOF~gKMya5eai-iHW?QUN!f@+- z*VJ^`w_-HCxA)vYlo)~*nM{7Ygj{1S<&w{a5dcHnEQC&@0ha;szRbH3QHS&5NO;p zIGAw#dN8W}u^B*d(tdxAf_0E*I25BIBQ@02Q1G^ds7&Pem|2JVUG>nRZ5VJHf9Vnx z@(T(}EE}0fHz>df^BB6EJ>G^B6q^gis}`}|z$e14Uh?VdrRZ5XIcO~e+LoAc2&y0Z z)9NA3!@(gFT}n_0hOA_vVfUrL@1K2R=Q1!i)0A|wkF|=7xSGPPWgeI?WVAz_Ol1P`=3y95QoH0%v z=(ssMP&(p?SdV~r?>mR%Xy5%)W5wAlIGdr6<A5m1bJc{6j_gn8)LHnfUs)0>kIM2@a7Fxw3!5HFM~Q6?D;f03h-TF ze3C@EZKT4Qq$BsyUrfWc16_^9xZxLxp}*aH3zWoTiv>InG68DPIY>6N6% z66=Dph#pN^T8kK>_-&Vq%SUiMYeY24ha^|*ry>kr*YHJZ7?^q;1Mcmw`H@JTzMrh$ zemDP1{HOCO53*Ww_Z{H5|fvXA3vT_nV6RLvtg_C3X+bjh~LUl1PXZg zFtdvJ4t|}3bc|+K+=WG;0xChMqA{nLIlh16lExsJm~M>h zVZ;Xjta@QWGca%g_sIBeBEi1ux#Df4zR_r=^Myt15+GeXgraphKki|{KXb3r%SI79 z>12WAE8F1dXB$PPWQn)?+ytH#3tcQ_KE{eKb@smFks$uPaX;c6-cDxa|95>^Ah{uM zC8Y_K2-tBOMrE#Qf)@sc@Yk9vEW>%wiSc}vyCm@RWaQ+^Fjvc0-2M+`WwXPF5yYNr zaF=4-3vemqd-SBYfS^d{21>MKTYuQVAOiUYa9;uQ+Wbe4`W`>l0kz&47X2MoYv@lw zf)yz`;M+W<^Z@xHw4;oIrz=y;~VQ7RZ2usB<) zBTigIM^_hYM@%HhP1blpH4?Y-b+tgWr_ zH@Y%~=~!D=<>c)2thtH_6J$}Xd%3wlBGJCUL8v>vbcvVv^MisG5$}JD_ih~3sj~uc zCgBJWe}_}Q0HKR;R$=oJU%|``qcRQg4`0FYk&j`QICt?YtUNplFJ9bx@L*zJngd`W zN>R;@9ZM@Djg>c3}ri54zYLWk^FFzvzO!6g*D}kaR21EDG$pPMj zeL*rVgNub=SyoYjF~PBTatzcRH#FoR-5@RxXCkf*U7suOtxw_)zfnTiHI8xO3-UE_l%xlsjN=YWl>Wy3u}`7T5VU5(IC*DdD;tp zK#@LB0a5`M^V5NWL~$F6buyVFDkw3BR@^E07H2O`=U&OX%gISP^&T)##R+k4c04TX z*5@ihpwh9u8lyNo!g=$V94$vA>K`kTCu&V)VMhUp2HtTQ;3_~%RN_5$8lY92@6pHW zvMl(-8Ae>24ztRXTxy4WVP0ruaHVGcbN>AN>Fx&RYkI#vTso4;*iGL0!Cx4a%RLS4 z1n!V?Ck~pKmE#nJ?ufG-tN-5p`zFbX17HcUPo`fX2UNugffWM)jYwhlG!p#-^=Ffq zK9PRiih^>-;0ruiQw^i@FE^vPpb8XAxBG+zbTI9Rx1V1#gYnz_X3$D(EG*GuPPVos zkisg16K}7Ti=Q51%&Nswh*!d%m1) z99ZM^49>W*c@V%zKq=8UHPP9?#AMCG5oldVKg!P+7Z>Y@bH5otG5*K~6expvDH%m- z3Dw0=6#^5+W1sp$JGAy+>m{7YxYRJPWg9sYYIN`F^qmA)v0f)4(tpPoYzOXuTR84= z=_paTm3MF>B^qKOo@MHHJX4g0vW)wJs!^%hp%Zh6>F*U{tGFk;4Ts&$)#%!kMHK&H zb*!hq?(GfzQZFF?5XU5d!#RcJxsT~%^I$*`^wv^x_N25yc66@7d})7wHS22X2+x(t z6;l6Nc*B_zqof<*B?4pkwR;41f_$hME>}iryz_-~Eg5P!GvceznC%qsABBA(n?r-= z*B>djhS$QV=;qC{3gFdRB0vJPvU+%oXJtuwiy$1p$&v8SnIP@-BJ%3hiJw)os;kpzaJNa*r~DrwYoG=F z*JV+=-Qu~tq-3~)nz}l&_10nVdU-U0*P`g@VYeC^pV#hSnkM~PN0)gxHapSasd?~j zc(}gE5gv;#jbep)wcRt+jEV~WOcI0ZUmL~<8|E<5c_d$yD;VLj|G};=J=qY?x1nVex>1&8`aH8!T{Z``x{~ z-i}FJLhaClXFWZ{xYMzDyc;RR1L&c-fDY|H3Mp~+hyJRVx-KI zw=q)fEiD%1uJKb@881Q2yhz`XF0$=j3bc6Znhl*%tH~zPnkdM?;G2;-ZS0F*NQ`)6l5)j)IxsTx=}rUS%=a-qrOa2DZ{@oSd9# z%5FS?M|6yt!rsAg1tIzo5(l_!(270~C1;4(5PT6xRH{|Q>G-e}f5#+l$}bo=^lyiQ z{~NMQdW6C`(*>fWvoeQ)a}B4v+Z8VD*)w*@Gn_ncR{q-dddIhltKycqnj)s0K0Png zyTzj9Oa*}4O9o>|F@aDvb}aWnPe!T%b&J6mMS_h+dt*YHAcHW|_zKqJA6vJgfWn(f z#cqFyf%H+Oo0JXqd1KcB)`1S`!t4k*PtbA~@ZAb=kN-7>qdK&VI{F7c)-JXy0?LKs4U=h2B!*wy9dMY38bEkYIqfKe{Og{X~rl;P0VBikgFK_m>&9ScU;U~-GitKKjGwL zAT;H#wQpZ@9=Jd>Wdb+zLf zNFcgj49J?*XW!VA_Q!Gle)M*3hR@dAza2}#2{!vmC=+M$_w!vn>zrbjj5MdM5PAwg zt!)?9M69rSg6H&?FaP`s=PjPJk+xw-Hcz}h;?_8C(S@cGp1=RlI*!fvp;n?ru*|@3 zXaLpL({oj2cC4&fYO)ai2cRL~4fTNO_d+)F;au7`9$MdZKg1|RD4^z}ky_cQCb(y) ziBVCz;1?*nh(%2u#g>077%sd29oe-Ye@W4kQ&W-jD34+YeQiiACf0^H2pa7hFkM8(48{GlIMn(or$*4l3_X{=#T8RtPoa2Iycrpq#YD>kY;W}An2;T_+kvAtHXd-(UaG) zUCyCSZ-akWKL|mJE*}UQ^3TSh*35b2HC|*rKAFQYVp{$>=3tb}9E$-L5w?1EzK_`0 zk!4}&Ea;5xhtwqjn;?lhLue5JzW`peiN3i8MYAyb?Aczgnru0AqO2cJ*=fLD`;z9x z^;Eej69fBT185({aj2rKT#|}{_^E!sx2?kfebD#L^*%$?SzKHMuhlx=#mCM<)rB(b z$c+2?00!i`qRm^j?AyItf)1}$+1q@&rG-UHr6e~y{A9iJ{+E*R$zZamx_u@S$Y7xd zQ!Qt!a@Fde<2ED9$!3g2WI3Zo1_uaUFzp->i{&|3z>8L2Ev#N%UfzMuZ#lK|-->c< z4yYUY0!iLLj0@;x2DoBkQ@xRQK!Cb6F*M@d_Oc&dr8fCD#vM=p zBuiP=glvBqj~dDK!tSM}ge4Gm-#Dr;ein6;bX8(@;8L3s zyoCcM=n_L+!j`WepM$%;{3UGKxHWADFYy`!RL@|8w_b!g<`%q*FGI!>_A;`y7%y*~ z;-5O=L}xvS5QGUp+Bm7Mp}}5|)0s|nA<;2tBRn;ux+*=u&6+hi1TWFDss3eB}qatO|y=7oS=Tv&KnMKt@C zjO9+PT_A#3oM-M8N}Cc%D2v;bB(c9yeA3n$#&?Z0|@c*uJgwvZ7R zXiM|Hrvud_=)pU!rfp@%bcIAk-&6>g?A~q1)#|L`+4p+7KSJDh z6@q7@!XUeVcYVD)ggldbSCCL31|QeBy&DO_O!t=ZlEGZZS6yEj89x36O#*luBA zQ7$3Njl}WIm$@J$fiqWrUI@=CVe=4Lc~=wFrVAy(V5t#L;K2dVx(vPuBrvV+3Ia8U zSmoHd0?eO|?){3x)=daQQQR_3Pfw@Y$FnSdg@y6Xk1519{vq3QQp=Y7X_d2t_NYE? zi+jneY-(k78>Q(BNX5#X!hv9x7iyL>*FZ9ADsq{uO;C&>Y>95EKbIDa`7X!AedVn= zfMi0GzXxo5R*aEvQ$P}u^S$QoZf@sN8x*v)(<(-KD~rtz3eQu18dBqy4QPA&wk)M-msqgWbcQ{0 zXtXtYun6h7WE9@6Jpw=|b>r9ir96e%_%?pr6e5W!Hn6X>57*V{=iM|F@kw)(=?>iE!l|IbzJdRYk>l zi%fD#3dSHrb3;qr=tE=GPT$v9JNU()xO-YYuGuQL2!{f70Q~Zx27*fswYIxECDAp* zqvzT%R#;2QIV9`w%*)>y0{t^WK{oSOM~6CD$g23|CIxwUUvNx5K18bjR8c;#zdAVe z)$4YEUYe)As}irpl+D;88OQ>TNO>Vea+!OF?1R37z4pyYaJp7%dBUw@V{X2So#;O9 z_4@3^t`EFrVt2u3{uYpMCo9Vll>$_CadC`?(6#b-wJo-BHJsFR2t1{+39I14c8Kyx zMmwiUJH64n>h+*=v2qYMfG9!xxpyCjGmtu0)~ub`CH=0jY2xQ;S9uywODDOIp`BuS z^yub}eDJJgs)qL;K7@DB!2h_eZf%rUh+!o-TNh_%4ljTwI~TvVC3fLc;kEFqkNvoX z30!#;V%ZKN9iEx!2W13%=4wAc&++zKT>YOveAr;;Xn?g2knsV$?AVYSq!plgXVu~N z?@PM=M6ZRyP}8>cEtOEW6FYmZREvPl{rZa4{UP*Q@C zBw4;1U1#B{-GR1I=;$)=@hHT=H+Q^DO?foE!YeC(z)*>5SZ!4 z9c!*EM@|e+!A3MHw0pubaEl-HGO58=!xiV6w@E5mK8o`;cxZ`(k6>-FW0QZX2n2?0Dz^4% zUEO=sG7Qd(s{82o1s6k^cru&FBcmS!ENc(HWRU~*3Uti=NPn{^iX%WT;)VBbCB#gz z?l~Ur9PUjhdso-g3{*mjfLrdtzEb~*;+m;tZ(m;%V`EK#SmekkQi5d%IumXt1Wh2L zrPf_yr8ZP6bcqEpLhB?=)EeU~h5&$*0dy$8sOZG-a7X+kla%YJ7z|}V4Kojr3ziMx zh)VrMgDsXZ5e{Ebcw4>nQCC(5@qdgbaewQI+5>olPwDp9{ f@;_PR*UQYBk408VItxq@Z`*CKSHFm2d-gv7C|QAL diff --git a/vignettes/RMSSSforNAOpredictions.png b/vignettes/RMSSSforNAOpredictions.png deleted file mode 100644 index 6e394b353f118262080045fb28c7423945405514..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 85982 zcmd?RgF$t}h7F1|(nv`v-6aj17HLr$0qJfj0g)0x1p(<6q(l*r zI&=HH&-cB*bN&8;bM|$i#AdP9z2-gVm}88&qBPVL@UU-SV_;z5Dc+UW#K5@1g@JL= z4sj8_bCSUI4gS08eAmDY0|UPs{c)k!smKxogAPMcURK*XV{^vKh@|)U)~@K|orsX= zpy+5pLeh_sm+j0uXO#sbZ^Ta6ZMOC3=RJ7eYht0u^_J-41f{3OO9C7^)%Q{x{ok*GzR@B6>%H<=vTXnRLpm`8^1}aq`B9btefj@+MdF8O{QEfuhKxG_3cV8l zdA6;L=)}bOyBON+xZNkmI~^1h6t2zF zJw3NMQa098@;*NCjJdS0(^Bbia`=Nt2M&-X;w0s|+}9gN>o)$zc($`M*o=HT@!q|A z(_y_&DCBsO($iZWbcS5PyK(E*EkXNR!UaH>$DhFV(9|-im1$ z;9yMZZ?KAQyLq#-w|lboVZCu?$+vg0l*;e1=hy>0b|*?oN*^*ri3tf8c6N4_m*E7KH#awTcBCDr zn`$2pKTA$dwzzin!i5V>Qf6jmUAmekaKz<DEuYMire5lg|w zC$fTb=yS3j&XW9Ek?_ru|3!8-?ZI9BTI<-5^n3VPTAyK6o=}Sm)6)mH?0v1bbBo!W zZq_nWh2I!5o){dAxz8mn9k~9fz~lQD4-XGK1me-hm$!$~gkqmOp`xN{ZEX$5r+)2w zupJU|(dxK#W-*P8jcuadPOnfcb9!b*RYir0n)>wgv`{r2R*Ba;v$(jJQ?J5)tV9P6 z0zbYXWczD>+;nHMwy>;B<)N~%;rY@HDX$#ExA7uV9eVUuQP@+>> zB*bR42X|rG!T;xw$TTw}1HWSm>I9h2<&T(A>8UgF~Il48z2afwO zdbF08;sqXlc+?`M^Kt+Cc>g7K5fQy9Ax&AH)QIr#ntI~~dx|W4GAg{m5RR3V!Bn@k z4-Q}JinTd}goQob+`f+%f37fY!N$SiG}D1UaJJpDb3??@-p0np+-qyrQTYssl}d{vC6ebLdFTrg@uKU)RL?;K^tV&C_X;Efq?;b>gHUBbn|iy8LzkQ zpnr5jZ7nAckFEi2vr)je5qc33kt|O2w#WPU)M8AjgM%%#uvFcg>mTzJd}44Qnw53W zdT9g8GPcgvMoaas1uEy=iT$K2@#fGt-hc~j5OkF{t_vFM+ z!he5bOhWHA&!tPDMMZ43EA_Txi#(#P%Xh>V5$ z9j4y3J+f_e4!?5r6(@oVibJMOVf6k6~CJo?J zllm<$dQydGlo&TT2OEWUS-s55Yo4+lEh6+%JW*jw9h5^NN6X|iG&D?1XiRDw2KM@f zhJ*wK^P}}5lv^^2ZZ%Zg*-#E&(BwXFiYt<5Mcyq zd}bkC%!8yTYy@Kd>|@~hsn^*62`MQajl}bV$3M^UsKx4vii(WHab$~1a6>elf$@$Kzr-4WONQ`m5kLiQ8!hDo13X}Y<&ZFgxC*!IQK zZ;Y=&_9{dQeC6iRfBg7$QWEj`>X&juy$TN+G55QZr$nVLOYfHRqN_9^d~fpen?H1z zZ8dn)u6IC}ytCHY);2RUv%kOJZv~(B3$dMaJIi(ajh?r|s8I`HWZ%R@lh4o9nHH~W z*x0Vl&N-_ep5MGwX=G^S^R}lap3%8@a6%nUd#EJO2AOczZYYrQ^va+&3y9B?N zP&*&O_z4qByXN_G^0SsCxcej|B$3q|%|wt2%?~{P(iY>YV;aX()YK@f~nv9n_vkcc5d#iiE764n{w+TxpFo( z#ee?K#UyEeuT-G9v7Z%0M}lNyVnP{3b)i3#l*}yYZ}UAM;ZeMj3yF(_hcQJdGb4j! zR)Ff3b51nL_+`=)S6A1K**4z?59lVVx+f+MvjflWxrJ4lcCeW4QIL~gzI^%D`savN z4hGaK)$~_B?9)QCU%!e83DvhAo0NxY{Q2_-JJn}@LnrhKULSAflM{9cmFC>J&xPuo zMnuxYJo;5Z8M7^3PJ26g_wT=Unv=4#vuh11E@pRBE-tT;_>d_c5p$P`$Rlk)&k!A{ z9i*tQbvDF?>aeR0cIJ})UDQ_)3}j?vCnB!y?zq>knN~fJJ=mVRHAez$dJ-zC z_p#SXXi;h6UOZlz2zmhlfh^sm>17N&N@1fG&#hQW5h7w@C)kpXGq0gUX$`*5k~BQc zjD7mlvryFfFN4%yi+8>`>3DG8v+S#m33iiN=obvA?#sS4-e+=yk(<< zsk|;I$3MT;S7!VXNcQk-4ukPZ)85*?b;#De*~KF}*Q8J0s8wne;#0W48AdJ78FHj> z*khv;VSKu{@9#3t!9BWAje&N3NTM5~#S7gLaDcf_pAv_zeQkDIgTrvX$ApxD)Lnu^ z>e_tr?PFf~{d#^8kq-Cu#DV)aag#DKBrM+HN=r*aVq;{?6Z6>kwLNpZyU;B${!}@Y z2aoDj)$N$;PoF+zVPSz>YBydnlOgH`!B|*!*UW4I_IAgg4bF!TAHpv~E%o{~Vg^?P zHDWrfm`>ZkVDc%oct}Wy{omL9M#nbu9_;-*Z-4-q2uw`Ob4Z|#a{-2>y4-Mp`}MYX z6#PuE!p4WE#|K)kRBT3af}^4o;iSJdI(0l8rm->&`(tVxHXclgQo4Kha5de@cD!OJ zpbhe1Ol<7R(f!fN*6;{O85HgKzcwe6(s0PA5_oQLd8p~^Z7VP&IM02gzU3S=Ew=w! zG5?a{o7*g`tPi2Q&(6+TTU%=u3vzL7LJbBO_Up6y;pj2IiY81{#^R=E+3T4SZiMmR>3+O@GHLkCZr2tZ9v(eLTPQX4~ zdXu)d%^;rZ0?z|%6@@}I0N{;{k@Bu?ZK*zki_7lPoNnBPOI|q32gvh2Lp15WrddmQ z$)!ac+YmYuDkh^b$mK~WC8k73;Hhb){D?5PJ@H0+utB}AQ=n?9t2@22rXO71rr4UF zmw76va3vS=p`2r6dPua{^Tox*`S}N~)o>v?VT&R6M9$gS*_Vy>B5GjYY?Sfw^2XVZ zxSt%lxH_t-eIP+vTfbr{(7#1nQD5)j^Yb;5K&g5z;5b%-YkRgW=3&C;2t3Mg>1+v~ zL?gN5-&>RGaKrQtRmdqQqF4id^pIhf-qY2!wzBGxLblxl^th`#iVwhU#Sj+2SaXO6sA^DR$l5iwXn3Tb6?lo)^(g~ zS8bnSH83=Uy`J!Rg0a+n@of~Gy9yfc_xE*nu4-#*gUuEZ(K}kKHP;bXspglP zlk;Hk8F!|*m$m7|$*Cz3hp+B%d84T(fA;M*sNmi7WZ$M5c|}t@&h!583kZ<$7)=x? zlU=)ZjhHwIHhCc2UdB65n&4#B*@e8YwJ1;=JJ<%0U#6Sg0GHWLROP0mq%=1-cXXWR z$cDar`Ld|aotRZk+na|D6@HD@gg)itGTl8EPR{RkU2wH4u1CBbCq(4recP3djR##} zIBu@46DxDAKExCh{q0)ruCCZuuNrg&wAJVlu6$L!Y1@T|?6<5LN*8IgpZxUh-Mi`O zR>dS1=oa2N$Oz8igq!s}liyTVx3%5yn)6>at|D@bWMOjOA(2rN9~Hr$n`q@?6HiGn?`I>y>`<10sLyqIj!=&1HKF$vkedD7#e zJf1X;yi3|aF9y52L#OL&YHD(F=u%ShFXF|~NWT2@*ty)aBZ~`3b8TSz>&LaFv>!Pa zWd=Ab92~a3eJipzoN93Ryj)tkE2bgKmbIqnh!wr3Ytr3~+e@&uwWX}2RMh-WxNDth zk#-cxA|U&sj7Y~u&3mFrz5j`J6-~`Vh@md#*x1-hmoEJXEEW&i+YaHk#7S077ry7# z{~_P7!M=Dxr!C<0hWbq*p%tk{bbxpVpP%jodOwztk&z3Din?l|B16Cdi{B`kEoh_Z z6Qf7GJp3Xzm;Qy24FunEqV1L3J`6iZ^aBF}eK`%m!LoPmT+v|yeDr?K?BT=SxpZ+6 zk?{{7@Odi>3kz4j(`NBu?N2m2ObOR?V}7Z&PzW=QGi`f(+e64oR9rksQZC`8_!+ca z5cUy<&rV~wjGE#lLIaLg$XqYb($Y>7FRu=zFLNmPDCRlG&Ebv ze}G%RBGdc_R_^7pc(dnqb%J|^sKwRQJNQO90R&3=R)V5;y)`<_KYsiOK{D@H0KF&x z+Ggj4i%0kvKY#pK$dX@~fjC8C=0fz7oXM7#m%|+^**zxQ?R{Bsh1aC@O@cdB2%(=X zTkWHd3`V+U56$*NHMGaA_o#76QC-S6C@2zcPQqVqoq!H788f#}|B5F66~S&kS}DKh z>TkGf>kN&m0PiivJ|({yl6HLf!=gra?L($kb60;7>(a_pyFGz73G--;+g*Vj21@9(lR-JG}k0($<0R&Gx(uehgAb+7vs zJSr_i#$4xyO-)Z~VZL+xBW`ZoG*I;ew8qrXZf;K27C(!H9k$Gg*ieZ46T1+HuhFvp z{d)_fdASJuSZeWSt#ZtlBm>WmSewssa&iEf@R+vyjTYToF6lc6hB`Pr9LGg^hUK-BDoH9gcbBO5)ha=g*8&cvp*BSt1M+6|d6xp{B^X%>j90@0R-f`P~YRn>X*7)pKsh5IHB9k*}6kwlgS0=Vv#PBiq^8IekH~ ze+}EdQcq3_&^-=3sZZa_`&jt0owIK*{{H?O z>gX+1S$RGrGWSTILKUAVV6>8a*s$ArD9u1$pDkTEHk09jNKesKQk3SiPYC+_%F1Et zK&=VdnARKbv!%0DZb!)Rb*bUe9F8T+GjzuG+=bn|>?-;Kp~#Vv_>mbZF0_S9=Vzw} zbKccUy>UzHP}g*>qahp}WqG6RSc%b$UOmL~Yme`Xv93-J0AMPdy}+lHDsv56Rvm>R z0z8CXnf}7}?{j_w#fbzjmk3Yqn(W&lu5uXSCOI*5b9(cTfsR!}~h4P}LS#E!=SD zn9bV!j%o&+vam6P9*tm}Yd|%>cQa?KRIhd_vEOppA}A$=bk_93e_-$Zx<`arzI)4x zH3zO80jGjTEq1QYjoTiRrUHB>^}5hB|43gqcQ31CeSLk||JqUepSA43cb|cf`r)2{ z&vb$81=cm1`0uzlINe^saIHCFjfumQ7d>U^;anP)nmo5|)XTtucc+2Z(K{^ZqbH%2 z4p8CAPEA#~a_pVh@rVX>L-MhpNobd4U=TL)Ca!?rp|iva?3OO&5@M7Xpt@$<;|~Tr zsYyS=0CJX)kly>Vl4`20n=V03;KY`cZ%u&h=I&l**vLbg!UrUXiO@Z#O#-Bl-52{$ z`B7bWuluwIo*X7Tk-E#2*zSMKbH9#_fguDtGRe3ZFoB$~UYg9FS_cw0qv>Vh~FY9DVvnJ0E zAf)bUFP=ryqoBXr7_Y2^Gpeqx?rOeOTw66mlEVOQsmZ?dr?LkTfgQ-P--ffkFWe$|489YUKHSPL#%LO z)XR5aR#LS5S4B=qb$vP`D7yJzReCT<@8B+k1vcs67LoMxun8FMLZlq7uS%4wIChN*I8l#0$hPk&5PIEMIQM#I%$SdIlNdG^- z?lss9g=$z9Av4Jm#|T6aDbN$oS}wiA+_;?E=T-}mau^ZXdI&@oJ~>~I(NEZWkbnJB zg9vVjxfh9vmj)1Qz>2=*jW|DAqb=zd5VgFp->p|`Jv1?)@7XKB&)<}b#osRTd;Lx} ztGAM>D)SVzudi=XN0&CPsc@62)_q)3WOgMmiQS4>jNxaD&E+u`?h zwTa@+P~5pVYH{5Ker*CJYUpA{x$#I*=8@S!+cPaoJo%=d3J9~4b@HAUfU0w3@K$?(U(b&L>D}PPdu8v4p>yIU~ z2M?T=-r?aXn~hf(cMq~{lDx#doSW?G;$qfI^D=%=CF9mTp46qYwnL1roBIF^_y@AD z8UQZ)ukU>xXe6K`Pcs_eaBXe`K>T6Gf(~^^aEwTFk-t7F`zZBe}wH)_C z%sR^N|WFA(S!^Sb3FnXdNN(dC!An}-&q_6lCTO2m=y*^_r(!KAew#ZF2} zYQ}kkS%@4c$=}nSfh3+aTVti{`BH_2@%VVY-8;pHuDDF}#m{doJMDSVgO>bz`&{kj z+M`18M-rUGnk2k*Q(1ne`{ShT95wYfkVVkJLV`hO)B~ACo0?o7f(@Y3z42h9lU7~H z?8QUg%luIhwfp+Z z4p6KmsOV_G4Ww(V`hk zyEB3LB1Qt200~))WlhTOunOx!M+r%**1(xqm+swm4SB@9Ngt@h{c{PBM&=DpWZBIA zwsKK_NO7)SrC(wn#WRe+r|zp6b)altCv8YKA4Op!6`6=OZUbFJPoeMP;n7ojnKoLR zU<2AbZ3DByD{;^PF4eOSe$ua?OD-&2GYvfL8QSm0LoOU+!zS`PN=zi0b}<9W5!Z!%E1~u6 zOJIz^r9ie_Wl49y<_tsA!I(D$ALY~}l3&i%o;PXlZw4f68EO4`Q(qdmBkv2pjYZA{ z=-I`^kAaxDUu&%j;JwM_cb{5=P9aweD`I7JHT)rat5;!`O7bbf<=Bx;PKvu|d3{~+ z*-&5K1T><+0;AOf;S$#DYyAn2`!bqN`j&!i@jCf%kJ7Yd2%`T)F&dLrr&8WB(w&eXC0mF zG9E8R`O~G8t}astb$NbRE_L!ddE|9#lN4aHt z%K`$!w;rWoy=O1}SrK%+vDoqjQOtqN{Q{|kqeRhv zC^X%IB!IM<=H%O-ul74~m5AB&?{+vJUtcJMeFV)1ZfkN~OG8~J{4@cU#f zt0)<(E}3q08LQM8G<7<8!)|4h1Oc1MUXn{p$s|C!FwD zqq9%<^rR?VLWsRMBWa)a7CbyW8{} z^MQDs>OQ@^!?#!*6gO@-PE=hu_X7EJ^in<&ooutyg&mZv?CB%w+r4&7{QM-&cvIdS z!lvhFynS6kDZuga5{tC%Z)N(_LEx%)1N%L{kc%c0u|qQkwc#8TLG3+JkZl(i&08_{ zXNz>p?`u0TqT=)NfE1$yeJ%)6=smKCrluyV!DnG8)WqbZ$NDELkP${{mAf++iCU30 zsyPMjNYMLw!cBmwu9pJyR*VI}gSr*LZWI9cXL z=M~N*el&i&HwRc4S~Je1{zEb#De=zUd%CgAv6Tu4^1Z68qy^Y%@$N||*0px;9}J9) zOB2-=kkc7L{ehn=2tO=i=ozzo^yuyxRs2?z{_Wehm$_ex#j!3o&o3-g+m3N$M1G#0 zJ^`4{vZM+CG%dM{iRh}-Cp5Hi3(gL?XHhBu?aG@sZ-7XiKd|S2!NtR)woon|KK#0_ zt}d0=bn#&q^ucU6DpiV_yMg|GennU65cI%-5;EQa`F#F&tc!~abSTg|-DfY|qcEgU zR#wiae7bSFhoN^ze&xwUHu=@|l)FsR{@P8=a2-!61i~}M$_#3+bKk#=g=MI(@4odl z#qi7f_rPvvpQ@}bAMX(T9*g1zlGOeH#kx3b-y2(E;6vlwxxhZ?)=B7G!hrg7uoE}+ zK3mky8rI#CphP`e>af-uD={c7JuPj|)Uxl#QWf?zW|X}7!-o+&cKvSk2i5vGCM zv>d=r^;&uI`6EkTeGlj(G_*kC7xVpXzvmy|?cD@khGyNt?%CP1y_G@WG*-@TV`F1~ z$N~XybCO-_RUK$%Vq$63HN>)$%0eC@`3PI;oYwOhlmUunKc=`6BdGmQp)S zIZztKseBg$xg)gOmMs(uK7rBVw_ER1>f)Qp)YQ~%t*yIswN7*GWBDXHA}94wL1br` zv^Kc3X9R6Ny@ife!4GILrC4+2AN%`4A|em7i7QOnqL+qs#d)A+SqD)F^7JL~Qi3tg^Qogko?{xxJemL1er8Y6is(N$X z$eHBXO7lG8mJT5j_&7e$m8Yb$C4GgZrO$Ud&aEE`Iebl?&iEU8$_1K!3WMz_%r|l6 zjHL}oTX4{{FWGB!@fn}76-6mN4OWWS^D10`q34P z1ZXDd|Hu8_JwoI+sPiXrnvfgvUhRsIPd7Tvg<#@LV10xJE~ysm32m1BL|MUOF)=ay zJWL3Bj#8I`>Z+WoaYyk&_!ud-6z#I(uDj{VA&D@|nY=K|0D zf3B+j78qt{O}N`9+=kX&@r7_BXbd*5)#?s#%n}R5&vip!G*yxaJA6e+LkMeyKF6Nl z+KLtT=fnL8s3GO{-p`-?-_H`6mHRR-HdS8@^ILzsJ1@JjZ}0A2*Tbrv`jtcZjh^1s zqW5nRxu6#$ojZ(`kbb(e(*M1t#xb9x6H~#=pvRZtm$ub-l;IFKK`Kl;Xc{TD$17=@ z^Y4P*la{p53_6n5RtAu^cUNqzbvAk8XCy4l&HD^^P1~84b~p?Z5c*@VmM^7q%}*hL zA71$Y-YqMH3h^>;YSHPLdtzxRr|1X9fc1eMKHNz%b!reBi`cR8@XEM_2HHJ;>-Kz{?>p+{PkCX-)2#IRN`_cc(!-}p&6z7*?VJKRJYVFJRJ zrB}MTx^~xKr98H$MTLc*Nt^+6gK7ZQs_;TVr`e3QCZMPJENfDxr>D`@0;j9c`>Q== z{R+U&49`yS*|TTMcT4S`%AA;no3W^8Z65T)nGmvu$jm;3UiJaNNNf@LSC`d*h}1d- zYX{upTj#|5)mAzz^QEPip?!J~A!B|HiPd1Q)N!(gd5W!Vk5j#!dDW+E5sNIt)z}%8 zS;ECny%$Z&x%;q&mxgFdhDg_~rd&fwY2fh3l9ha3Gl=h;TsqY)GG7(|0e9^P18D0D z_68pq$|(_m`8ct2r0Sazz=1Sp{mcDHE>Qgl~Vn5xBJ?18Fc;J1~sUuXVH?&Ag9QwWk?4G_=p$>_nqYf@xBHu zQD3ubvyp+=0#ucx(^QwcYSjEM><@Prnn*ET94`$^pXb*Y;b<8dNn|;%43G*xCjt{9 z=zUpPXP?!j69#K#-Bdl5=sP(r=Ul6ybtuwf`ODl7?Wcp=vc}GefY5?996}H;Qi3hq!<0-R#=r*C@lr!2p{71ekjlQ3_CLNgkJ~bpP+H@ zGm>%X=Qvk`69!xwi|02eDQnRdyO0D)^2DU1;$_q2cvH~oH-2HV^lC{3oZL$3UI5i` zIrAYfw?gb;XtCoUZ{-*{I&4-!+1FXpww%iq35D%{k* zrLP0b;el)^07!azdLW8mZ!P>Tl5kl>fwy9wf;!HOyu{xZ%mp3bQ~gdo*T^UI{4 znXxK3*xBiO&*Tsu;FSR90ca?6rkMu!?Vo2yASI^JLgI zCl-2kQerfdob(_$yt(0?)%EemUCZ!WM51D|z$N|7ecBD8d(<_+h^Vl1*EV$;03#0M z&~!(jw5aG2H0kLgPAq}825={J10Rl2QOEgKB~((4tmQ3bin@ho=)ifvTWV^d=8u5? zsHAK8NDUw78<-dHtWx6RN19xg9%si(rvb0YI!-}KI#yvUeqxG)gR{MF24v%@^b0|o z#DN_ppeN(h!616rn3Vz$!P6(5-zqx%KdjoVO1x4~l@6=8I5`>94|9hjp1!=(oA=I^ zL>Juzq!gJ}gEi2VM=1Xd7%BRj2j1lq|K%;F;tRo8=pFwBJWg7fJ{?D^l&xx=5e(;J zGP}T^`Bg%q)ejrgNKo4L4&>VCLwi~Jo2Nhi0QsGpyXS&9Rd-EeW3Ncjz@6SDYbJ8R zMGXW$R**MwWe*x_eI zwtyBO1Nhn4zCj4up8}3nopk~rBXRPwN|Ss$KA2$RV_rm;g(5v<(L2`XFRv6c$6Y;9 zf%K!`dZM;BVwoKGoQ9H8*~I7&0wuOA99+NMw5Z3&zsmL1+g+68 z@YHW~!6shC6aUla&zxLbZwt=Oj-57)FOVIDzSTaWOAe}3+oU5=zZ3zy={?iCKAe^P zW(S+hW4YwjC@+_%ok|Vn(z4aXJnMljNY zZ8K2#37lxLHA_cdUw<|iX;^QoQ*q&A4+06k0~b^NmZqk|qa*g#A-drMwAwLMUsp#3 z8x3;*!}re#uV24&rHoS8K61DcGEQyx<0@e8E%_<-Td0VLka(7ACd2U4q7UN$4cS~X zKYaKw=l64{&gS!-IGPzK&HzMQw?SkTnq<%FcsfrSjzYx?2?_|{;N#QqJ-|pQD1b)v z&@A2TIc&}(H*nlglaWQldH%zdDLxsAtC}gxpd%R^8XB6KN`GC*FDwidXyl}Cq2mT0 zQXP*5bOmoyKR-Vbo;+)U=m8=E8XC0^I^-yG@^IgToiF9-UA(B1o7@o5$Hivg?}Ly5 z9FbdN#fSpr3VMwZX>@9G^0e+0P*HuA2`X2ION?8D_su_nF_4=(maE5&@Ri9j9m@7g zS-+~m;BVfKRV3fR7V{Rz{%f7$LUld?+P^T>^17+X(#mSVV3{`5@8v63v-m((t6>yw zx5VRLk@nw8G!>0mWE6Byk4uhSY3vtqCInj^EQ5@XdnczXK z;l6KRfVN*5NeKuf*?xHoUDV6%e$TD1x35bCp0(E8%-!7DDmGPE?H~Y4i5{ybfi3I- z?eDB#z-j{!x|lb=HD!F4ubVLqR>+0(5*gLdpzBpB9g1*K=XngBX!|f(q9qw3qo1&) zwh2TX9FY_&(SfYf=i6L_v= z;DZ;c0pi(VL)K$TT)q^vY6Gp_JAdtWYji0r_8`$nr03DZPh7sE4^&K};|vLnfD!b9 zKoD_`e~2c8yR^FgxlqEuxR{lA!;dxla&m%F0ld#V6$ta(JE+L0D6@xnHv}Uy+Fh3J zxXN7&(SX)VN1zl8!UU5=<*nicduTxbY=gR@vq{kOjmg|GTSFWC?EcYb%~1iUEo zxrYMdCnrCLM^hO$;|ll@%!i}%!QIJ3QB16?5iLP!vTPd|uWmH6;UE`UXC?rmkOa_= zQf7k1#N!i9^{@SX$Ze(`(KyetvMOp)?!ZifPV^c>Ms~J(EYaW?g!+a)k#6+uc9wjk z{RthSfINjP$nUq7aOUgr4iE~ndVZ?(@jWr(fiJ#7RRE4wEAI{-F)=Y%MPQfk@>bHz zg>TNZh)7GD8c5dbJX5wJh@M%5y#vk0{Yn!_Nak{Ka;&U{kb9jbs)B8U20rnLy?GsY zeg-58rI0PC{bpd}Sy(`8{$R#rpEd{e_vGm3>B$Kf7Z>y&V6BF~uA{5Vk~#>cwCjHq zLA@*rL2m+B^HkG-^>5!EJ$m$Qaq$xz0&cz4!-sB-n&7rrIo;rB#Ru8tDl;gD(_j*V z`2?tg;o;%1^AR{WV6x;oAAf1RA|&y?@7XXUi^A0|H205=xu1J`efg{>s@&v+_)MKb zaqx9?l(V{rUORBz)S6-tQ8=ae*15694XLxugf;Ql;nwoCm>WwS8Un))GVtRXeQX0L5 za@7dH*arke&hP@=DCF?|^%GMM@ILzNI9gc930Z-B3~DoWM0GFNLu)~tE-8o;lSgZ| zZXg7OFp#KIe~Q<=I#n4R8v)5p|J7= zGdi$A(;nEII@;Q(sqf9NUzbd}hUsjf2az;_VJf7hMcnrk4+rP7r-w|v9R60L)!=mp zJq3{kuS>bPxnC=k#|o?oIA9yyxSWRPyu7lKAo2xZwvLau@|_0>FUK)(yCG<(#69g{ zSVl@p3MdQvx1W1^*QT60BwZFSH}+Pfy~Tm0M$h7agawALuV23cplxYsfpH2cQPE~F z!w@f^#o1^6;Ee#)2YkcaDM|nz!DsCFgcw|BE0!Gg3Nx+zB{{{g+AD=hCq3}>E44Kye zEgWqg+1MybdVqQGvA6g9%~fdli|)|{twQhPyfZF+b{I-ULKyQ zl?I#7EDm~D-;zg1M{Tm7PzYE9e+?nLS+=~qEam@a9+9lgfrpR(#YENPI?cncb8~11 z!PjzJ44tj28_tD=i*iaBrtyhwz8T_$ffMSDES)L7H2A@GC?pt1}3Lk zFaXS|#O7RKMu7at7zn0R9tqlwe68%QU%&;&_BpV~61?&)b zZJfdABfx_0q0q+;NR+ErL;>+Ai`PMSkQLmTWa2mOZbUz$$HNT@2d4flJ{1hO1wzw)!7KNFh9QeqVQ>oO z-oV$CQALZPfe9AZpr9ZCuyiP(b+PCzH12)+^a;uWNU+RA{V@3eW+3_p%>Q!)^bq08 z(2W0Y&RSADYPpz#GJ6gQ4(6jEA@^JIgNy<31BFG2iO4|@WV8RgWDeH72{r&P0mFR^ zUOl*Xe-^s2Y%9XT!XUk%zx#XZ`_fWg%8mb>MAgQE;n+H3tb48AKg_|E2R(mF+Tg*r zk4pfI-QC=X>vjJIIV^yk=*!%$|d0_Wr#}Lnw{O z9gdVNQMXsnvwSV$|DWFv;`!W3r>(2|EHzb6NeLU-H#6f8SQQ9!AT+g}pRr3xok9Bs z_x?#tj2vRD-0%Rd28NJsd|7}d5N7qpoSD%_(}>8;H3O~_h6o!tFA8FMp>MuS!N&pW zWc*ds*Vi7Ll)*P{InM)1KkOI*qrni&ZveduqkE<`mWr;fdqCcy$A-+PiHL|y+WkZ! z{IaZ|q7oqaU#N6DT(E+U0tl;R*X9P!m*`O#C1qs~-gsjVa!N`V_pxia{u;O4>>h~x za&p~3+$c@x%FD}pdJ138bq^Bzdp;ON1oxXmKXuZLI(3|e6F@8S8xRI$@GjGI1k4&U zO)eGyARYAN9~!s&HN!rIR_JR*q$39pPdf}jYG}lx-&s>z3mgUDMGiAVm_16VBGnMp zo|Q#UE9W2|t>7zRg=zrSK_b9gpfiLZQD#W^wJ`>X{WlC+5tiF#1A52yMTA5z!i|Qp zh^_nI`1SPk9(mDmfG0juCaSluuL!7uuN7fDwN+I`T7^#=?BM9yA91MC(8ykb!kS|}pAaYMmPNFN57)Ao*?Ln3OS`qRzNvQz+ zU#UUutA^5?K_((a5XI_@ag412%sM$$Zr#VgcoPV7r{f?*p>1LgdY3VB{K2MPU0WMU zr>z5Z1GGPPKo)z~En{wpi^piNWA5$k!Q5bTv(Jis#f^avAA|)2IQ2qrY4AY9z#u1=^*l9-_$0uE;1n_`v?>|9@uFqwzg^ad2_LlJ^I= z0O%;;T+u2XATe+%f=3HrIlQ9e69L$uk#B+vkbh8UA=fl)zJDPAsLVigAC;kD4r$gr zl&xeUhc~N;jx~9Lj`g3x`J8VL&|^N}k$^%9-A47t0?>;9BE)t?1_yV7>*e84nhrau zJOWPa+J8>+|9YZw2u0&EEzy6y08ELHLztPEU~}CP6WinEN>KudYH4W+u3_l+QYlqD zv6B6NeQ5vlIaE7%X}H%ilMK$xoPx?c3;i!3f-C@6fH^^#gGt$NGXV8v<>i1Eb|4hM z(U|gzO0&3*-@;@pzP7d&)&hOQ{<+ZP|JMb(5=0jOTe*gQ6>de3{O4V;B+37m<+1i^ zJx2lI0)N$E9GMD`|36uTOHz_rEGCLWNJwW&XT%D(JHMd72C_>T&|lDRKuEmaiQ#RJ z_j3h;T1Xk%3@6~afpIJ|ZfSsx4R(yw)Nz<`t2Aov;(Jm=dIc`LL;!)b!COWVQU2El z=|7)eOrc|EUk8Qo-8mera)1FSJSWHmP){0Q1Om2hoBwe`UEMEGyr4^rijD>+wgY(6 zX50Nat;=-)+)OpQJ%s&;o(_+VH8wWJ!n@%Py7Prn*fqdyn#jlm!D+$#LrV$ten}nL zFgp#ynxMDBVpCI5fgJ=!SojY=!UF(uL}zxM7QX80LY{Orz?Mp>y4`n`S@^#`IR5z@ zlj8!ZhZtzCfZ!k>CvykF?gGIYm>PN%81;ZN{=U9$*Cqww4W$E-3pJzOVG6Cp zKv!u#Zkh{K)O}|*(|!!C&SqpllW_*LMWuc<@|3aKPe{ zH$*Q0EH!u-yp{eL>eJR9h5iFFTi7-QI?}jvr9j;({uz~a8yNc?4zNGs2nf^y|BNE& z<^vsndKjh!aJzSTFJ%iI*+YA8Z*SzWk>{HY%K^ZqRL$RgM<89jaAQ=VS4x?Q2zula zE!vr50EhNgRyv|n09uhbf6U0yBmM|_3yUQ*eUDB^=H}+f+}SYNd*jByogA$PIk0BJoP)GajJjHT>dB{GKJ z0urlewFH(|5CkLPi~D1GrVw-XKUaqUu5Ff}%}YQ8I~GF-#Zd^nDk|!G|K1*&4oVS6 zc+7$#Ozk4s*x8Fg(E-kiw7wPt@fm{VsscPdL0p87k08+6AJle+gbYdF>-3|A>a;b< zVPUs5G)6#I+3kXrhQ9>BM&iSN33D8>)6%dipp>!Jv>qOZm=?k&$t# z&ZawH8|D#bqqDNI($lA4vrlAmW0Z&@kXJ<@77)x|DvZA`EOa)k@UXE(#>K4#eCX@* z{_~6doPXCKX&7!E*e7)grCuK#L6U_vE*0DV*ftE($o_*y5HfWw6d;H*lG z)OB^QA7{dyMyD|lF@a77f9f>I?zEDRmv?sJ2*6<93uoG|3DcJ&(jXD=O-X98tH(HXV1{} zu?CV6m=0|r9dZc^>#`(4ViYSaD*6Uq5H#)pfCijdz>59gQxvSRDT~GpeCt9{gDR#uag%VJMuVABi25aISTKygq2 zFVO#j=3@R#7Hs-(@`zl>J6Kp)TDRdg;KT4WY!%QFI=^+xq*kr9gobv*Ht^bseUG3)h0Twitsz80=?2->y8?hl0;9rTFK{@tBG{3a9Wbj+yfV|*r?GM+v zxwzo2aXvI0OM(IgrUi6)2Ly$>E3X57R|h@WR7IvlkfeY~OZ+Ner59X66;x87UIsxRk+2MD+!s=<;$0 z;NJ<5aL;upsC~h}jRe9<$>6aEOgNz6$rvWk35lWK*J^HdjNk6 zCeSyw2r$h1KYR!{5pAe-Xy(IBN=T@7UO=1QAa>E3gxPboOtE`0%`Gh=pxyBB;L{7j z??Pt)*nS^G1be{}o6oPn7=A(tI;?2m*$Eg-kVxc!p(2L+wadA6EWEtDKvqxHk61yv z-hHK}4Qpy;Wrf~k7PMD_?vjVoYsH3O!=nW@~R1B{+H8)oq;G<=K=uNMakl<1ZzyJ90CLJ9enAGkiCOgBP+YEma8!PVq zZ3L7$~5B7NBt5@&dzJ>8=#Eb=oI~J_LmHz_e{|(H4P(eC&P?NHs;H$AB z4!|yW*9U3WTsrdOZ9!Jnwa^=*Hs=*Em9I5cgp1tYno2$813Jxdt_@rP(h!@cPeL`C z))%3AfIX!nKcA_l58yVO!W_6&8dNDTbe=&k4?~KgVX>Um{fC4|uvrCULs)T{wx2*{ zV`gTCO#+z$u3{8>^5zf>=ECL!)0ydS6bx#ApKkt%=7QnzM8Nfj2|**+O&NlVf$@L< z_36fc;Yc*5{1;2U4Lx2&KL{pc_LVASLwy&NOqkA$DkLK%t)`vWyhn<5M>N>xl#~!S zGFEPKrxg@1AIn;uH$mdA?N5YUHwl#i(s}-?S1|8y47@O8XZZT9^5Q#H7y{pnfJ4Hh zGi(ePJ#B&SK!JzxPI1a}F?fa*R9o$B#0WKR-n{A9>iW9R=^u|8?jv|05g`(;7CY6; z-5sQRWnkR^LIE5B{H+xJ1ZKve>cbQ^+QTg_-U8XT>gp;VJc+{dks3x&8g89&@CGMr zD~1FaDkTZn%V2(mzE&L`OOu&N{WkY)Qd%0e3)>GclAWFUM#@DM0>FaWNDy(6ln0*X z0P|A+?zaM}Th8_hsLd0v^$P;~-V_BJv#Q~JleOEU(m)59XAh`d& zl)e`gAM)zvQW1_C6MA6x|D+vmbz(8tQl${eBA zKn4VJ9(1o^rREB~z=^@cYA0~upp3!35e8)#5+o>s3b$|1Krw<}gy&7c3)T!CGBXc^ z5R8095x~<22H>}T%%@{uc*rQTl?VUZ=Kk~l%aDKmmtg{5(u2y_R376*=PE)r)Ch!v z3nguX4?NHYT-%vw=>V1w*i`Wis&1H9elY3`50*$N?b=~+IhV!WzFEj8e;Xb}_5~U% z*zv0SnNBmW_aRJRKMbFdDMbIc^%!nNFCkkQq;v4}-bRpKzn&%Ke}Co61p-o$o1!#Y zU{3f6`v6ii2)qb9yi*u4TpiBtFzdczRf?|cH8tp|LjokAJ^%;bX4{UzZW(u z^Xx4ZsWQ4QFa|(T19ri?xbn_^P@RtETNbx)Um36Pw@teL$p-Q9@j!!9qclL%>3@4C zAI_=9VhtLBI6Nd&RoK43QEoukLZ8q?7|#!UlbQ5>oeUd|_%fug9Q1uS0n z|4{ZOU^%D%_xRJk@2gf7m7;~DeSH#%iYTO#P)*XN(oXv>iqN8xB5gwZLMlZRg_L#` z(ngEc-+7q%%*^*Q^Zow+uB+=BgJ*f)_x)PVIj?iCIKavYLJCNAbX`Te5}SZrgLz8X z3%8fqpnK7#^PX1ylSk1r2CBHr(S{thU^t+h`BG<(WRdotKPJEb_gd<1Mh8%BSZ(7{ zL*VQ0*0w`qgei{nf&$t29VndOWT6mx6s!OWE0NSUqnIZ@i@ru@hg2dp71iy#7ty1u zd{{+InSM`SsHYqCBcP?6GLRM!`f1UkIfbTps^BwrB4`dG?E}Zoi(TSV_$^2;eG)#% zwHjOe!<|*fc0}wI9?d(J)~Dcc0q3m{c{0-kz>RW)>UHI|LFD{A&qwczplCrx6 zSk*?==T=DI`|}ONFCoc5a9oWY^zlUu>h<0-WHr%gvVdHCB~W)a&{rK*;e*uX?08oKMtmI z^hrZ8`TW|}T`7l_Q9pcE$k?`d^WKxEaJmH*?2O^K1>-+NjH&Q50Gk}=bO9R3A8WXv zhjt%D2&)c`N`8L+7!h7^0RgMfox*S{6Iv+SccaJzcr$(4t;j}bl)TDQQ+r_ifiT?- zp))!-Z!k!ukNjbr2IYY4k@8?te>pQXWpdJrgjvW4GU}ji200J{S~4^gE5k3MfPW2~ z(5}K#;V-H4p%kzB+x5RgYo@9WQ<&6h*mQ|LZGefj2dhjyI-l5MAqsFWh_ZU>WLSY3Bf-q^8?cpfiFV5vGj$Qihw~ zlPjk`q5kuSNcHQ#OCjEY6%YdAC*V226MB=rgP8zjNh<;&VDla8M2Ny%aT0?sfKYGd zS3_lOWb_gX;t$y=uvA3bvG2fS@Z~(QLr@$5P=kvTeq}WS$w#qJ0_C2~Scn1i@yJ!5 zV0(jF3WWrgM%i^7uK~oP!vZy59t`)u>KryUF2s;g_a!zFQ#=hgU3#58YoZ4~3DCFI z3!ihrDWZys*Yy(#Ml2#(a%|31CD@>Ha)UqFRu>qxw6i^vMO%-p2t}u7$N?t8jccG% z9+!K3J=CQB;~CXImxuA#r-z|f%~co)3_(0N=BP~96Wl!x=SKvosE zVMD+dIypGFQbE@ph+si6lZraDJBfoTQKh6ay?`Wn~4m&+P0hU@Hrp zVMY8g7F{qqNqgr0SL zmqmgXjqg)LjSzCjDSErx_U)^2RjP4Oce+;zD_4(R(xY@YZfn2WZo$4K;P^EICv&I7 zTV*#lneFRx+wkl|dD+dkKGIkAZh4k}SSE4t+F^(B-%8KXGe;|(586nP+$*d0s?&Zui%^wOm3=}+cA{zEcw!MRJM>U;zOd>%S z*dON1+CLaFqxVenoo+&zjTL);;R5TyPPHA#v5_-N1L#k{qI}Lz+sqe(lZIb1k;C37 zGYhI_-~U!nbs*u=B2WYD(eoNU@ZjX~q)3U2d&z&gGQQw!q(OFte{n`r(31%ffaR0% zc5pbYw`m(I5Sj77X2zl&wdXVG|6a*XU+eZ#{VnE#=N$9t;AUm1mae0#TgGD~Ig{OZ zZ{O&exdFQRpI;zrFJ~5l*k{USj2GU{PUTbcBGJ(3X9!DEjl%eZ9u-GC3`Ip#i^2<_&|4fT0EYx5;!4CH^pUwN z@rHZ$_peSWuXuf;@`$(BQ-YU|4>}WU!C63?IAzs{6~MzG5sA(Y8mDcKm>Q`5nMl_LRs9GUx#6%pDe!h8;sEEi>#1zk}J|s~Tlzyn5 z0UYE+v9bs#P0kO-0jPQlRbq2X%U9$Ilv;RiMa)cGy!Z+!t??zxbdO9yLG^+IjE~T7 zzXP>^>YJn{R!<30Y}HXH8q-P z-z4`Sj9j@Mk?Eo1BA=k-Ai>F_yUC)|Sl#@-T^s7Kajzr249|faE_HD_#ouTuxl{^A|71yGjZch~xxR0Dvoh9Fctoi3PBHiqW?P zy)fbV=H~&HDU3yUkAcD7n(-q*p0Tc1x19V8wdkD34@N!(Ngx1g*WN(1B(%rY@K|~s zMG9a4!&73~UB!y-;|oLaOFrWq?J?ou;i4KASCi}hcEaGZcZ5J%B%r3gX^^*(3}FeV z^rM9}Ef*b$M4>xa*XCYjabp5$xLOFCsb;Rn2hb9fx1%2_=0H7Jwo+lm^Mtx*qPlR( zU^`=$W1Rl0T$R6Sh%ODQ*Wy{>E71Gp$Kv9Mx=c@vRQ$N}`UC|FP0>Skb~$6TDvcZN z*o_6VN2VBO6mb}2jpuI4(JBE(Ng@aVL;*719?jc7FSDZ;0NBNXTOS}{Uk{>iP>pzV zOYBJw(8ifSgb*iQs?S-Vmip3>JBN~_cV-h@DMKve;F*jgqM=be*~MmJ;!L|frsc$- zhg$mG1HWl$5h|MMO@zrGXQ>P%wVZg7{=|fH{e}$@Zjvt8;0_K_BgTlIEx^Er;+kJ- zERNw@KkWL7HMXquD!SZh`(w5XVwqBxw?;q*PeB^QHzFch^&UDKWKRxu_VzWeaR8Gm z_Fx}?kw@j{jI&1p2&kJz*jEmn=Zc{I5G8Z^&7%?tq~{Rx>p4jNiisV%Eb8t6CQ&qS zyXydq>Gl4ShX9W85Ls_nDImdXoO?sg1ZTcq!TGPN<-hMfteG@dmx^z=0ogyCcW5gCY5M-5y!RnuqSJ=h)lQS1SeWjV z><3OCym71xDyN%QmwQ)9EjczJi`rx@Iw|^^((-P)TG(=^p$GBoIZIO;u)5fbB#9=v z44DW-(cOF?gTcqW=AL#&UT(8yYJYE?l=*#)<|vY3937?ggdew^IV)JmYSH^gR1Es zY`i+P!*^7ZW^QGzNHva3<*kH*8>Q?9eAinb{SsFVNj;c{8Ct{64d0*J6oH_Bx+neQ zlA@uco(Vimk7u`TsrZnZoV-yr#23A)FPa)XCIxBHJ6dNfK%Mvn`I!9y(XpsQD{$^#s~E|F4DhE6iADeU`pE{{+HvND7F8h zp!Q2fY6{^P3C=Wu1T*ko0LIk-5RnGkl9J9>QzHRRR4%crzB*qe5L-`Je|q-dfaEOh9Mn??Lh)CIygA&6?A!iV#|o} zfMn#wgoG!`2}<}T7$$dv(^Gchro*!#JeC(y&WAru#4}|2GmIeE=^*IivtZfTOf)S1 z*FXLH^B6=G_SY40YP{5Nq8NJDCOpUkxm%$z@Ss;OHs9F2Q9Pm3@iI2#e-$sJ)f(DP zI?^a{Y+Tb3p$*0Np-&rITh7JL|7Bw0g)aKyNFInaFx4qCED}h7}`12CZB62l& z0ED;`Mdqak4JC^^H>#db-4J;(DM=D1tMltDCg3|akk01Q7^L|BWsl)?|K(51hzMLT zSwRzgEisz9An)b$m-T(T}+9aY3Qq(j(#P9=bMOMzXJ@W#>P$;nAbog#PY z-`qfo0p=S8bm%b2XTA9_m^k!SO9*L*fxDpnMT# z-69ELh|+LIvk{R_$N#&BMhJa4l$C>2DI7vVmL*O{^wieT>0eKongl&Hzf-Uyj_tojFFxy7G@Z4p;zbWB*^9E(U4Zd?V>RpdT|Z zh$N+Fe*WvJsWRB2xUj?dxkT)Hy7l3uRPf(SNI>MW<LIo_1vO_b zT#c}-s@3Zu5_Rwo|2c%j>%S}P4``Gy8VF(;(o26O1^1ZjH2-p!!BB*WLw*0cnsc7R zj4#q?2#xQ@uWl*we(;3od9=6_02I!Olqzk+W>DK`C6~WgtzHxi-ofy%No8n7z-LOu zgZMJFB-YA@iH`0b`v*M>i*CS~0Olm{QW^Q@?sYoe3u3kZ_b1$)c8s>8TK&We;>>4) z^NiHOoW4{36AL1-{NpB7txv~`J5k#qYncBm%t+D1d?O$eB$R)PGVxu_&5s|RDv9lS zpu2;XTZU-L>FQeOB6iE@q$Vd|TE`;RI5D4^>S{^;5ApwY?P{r?PwZ z++6d&grHUUD5Ex%78ehF*75{-NGX_IAIX|EGQ1mnjq#kO`uy7VD&UsqHCvaR+*U<=o{%;6W*Q19A+G_G({5#JOu5)&>~p(H$bs!<_DsD zYVj~*1aurq0p~K<(Xd8<2 z4#zX>|5&%hUsnPX55BXV=7RFOuSfOc@@W{UgO>A3gucF&h4krjY=Oh$$0}L3V#(xA zGAo{1klg6F4|;t7Gm;|eZ1L5j&a`LDA~U{!dHYiS9EtJA;0ZdFHNwIHXqCWf5_mQJ z(XxDmL&m97qQC0JzXOJxZ1!Rj5+{L?LT)898jKMX6hw2eR~E^s36b}tWyY1JCr+pk z+Q}`+omZA7zm4#usLT|g5z(sq8YC;?lY!Cgaq!?fPiF5Vl(8d1KaFO zHM1m}(NV&b(igo2nnGwTtI$L85q|~b|IxRLzG?s*1mMwfX-;{zFHg2FSX*n~4Qf{U zjfT5?$|ogALRkhro&Em_uutkE!W9l23N?n5-;4zbQxQs+%CybAjHup?IZ45{`RUUn zumo5th43dcVkEfae-uvfibz!iQ>t5BKQ_@bQnV^k5#;E;?A8)>ZhX0Z@1D#FbH`^P zJgphqG)B)ic~-qotF>JVAMUcHIZk$V*Qo(Lj52D!l@NWk*M5!8ZT=}C@6mMFLoeq` zU>6L6FIV?pnn!c`V9oEP+J7y>2HsK2p-U_oCiIWVlC0N6iZzfMb=xX}Rq z?DGTN%^e7IgWENB!H}t?+J+gp@Mg)MxUl;{Ntst{F+NlON!FfRv}$Ao<3OL58-zac z$>FbqZv%xgT+uy~XC0@7*^E8`;0#Ii_k|9P0Q9J2#+bZ4CEDo-!Lq`s@%<`)g&K19 z-&hy^uPu$I15=J>wi=_whWCfL$u)a4QmHr}R-6wHr%&$^X(!P}o)a2?MsO1dkmgZz zhEQ0$`uZ;6x{GnOgC+?uIB9Hbq_FFHs3d)MS1qZi;U;|qP{B8E-XsALf2;f(eFt(# z^~~s1QgK7Y)|T?VSHs*Y*^`M(hCt8>3<>mzdUQ(hFbF{mwQj8tV~bZR{~8QQHA#No zW7ghy4VtJT^y~;EE|nyx1xTACz$t>1X^tFZx~JIh{R2yY@G3nLYP>Bc{ba2xb6?Jh}3ih7+;0e+Qzewb(C)>GWVm%Po2+F3adgcR; z`CRnK8q%WB6LAXzTk46hZb%f=9zldBA(VS0|L8P#>^i6QS~U4`?4oBs8NqVLZxQPC z-CXx3)HKxNiU^FntGo{{*9j9g&UtI~Kz6LLFe;X9wk?<8CFuUucgNzCJ*fytAOM;6 zmAQUQt|n)T--Y4lBacen$CTIhJ2ON>QlA^BCUrtZd{}#ry zr}9I1cgScLtNvYD^|)&j)(yUut}i`rYt9PMsZBiDL`K-Db+Gmmd$4xxikhaMgy_W` zFLiS&=ouNGtIk2O)_^E|bKO6;ZLZrq<{fpVXG;C1=+jq5G%T*goRhVo3!G@J5mcn? z%g(4Q;%j|ZcKEXS!JTvKMawTarNxe{;KG|yMuQxZD`h=LWRyGcFUZ5w4`U6NZqrg5 zQxviEN56jiDK^Wm$XHz{y5N#=-TJBUa07~8=n42-(h2EsXnDSI_CSD?N>u%Td%ZYU z$iE)r)nc-*?Ll^TrTeq08?4VnpAi&!UBucK_c1&?GFUg~FcdSgy|-EfH<94MwqeVx zeShsbay9ZpC?V?TPcp(2MnkT?kJO#76dm3L#&{yx%L~Kl=0d!)1~5VXd@*+wNr+J{aP0JinYN zzcQY+=gp}aAB9&WYVtjL%zKfJb{>C z{Qzp~qUdNhz7h(hUYeUr>IqD~^niVQLGEoHHxh!|hCKx}qvYWOUD-U6Hzgx8?gFVP ztr3UTP2DUI^bhzd302j@>RZ&+mtPD5G=h+e$DcWFm#Z&e{^)2%(zhH$i+;UjSmW$> zPXXLHs2&s>=jP_ta-w)~sI7MjBpJr5?w6T?&J|p(xuCx|bje8Sz+FjIs#eXuOMFVZyc z5LfN`ovVJQ$qBfb?)d8F3nQ3LXkC$(JiS}O(&;X;1!(XMZw@!3#A&By>WCT1m^cINAS)Y};klz?@9#9Omkn;tm6Bn3 z6u8rz+PYtdsGn&j%VU`uzT>n~a5+$|u?UIO*6CQNG_2+9&NjXhM~}RAtroUEK({|h z3$z4{CTgx!iDag=9r`Y<4|q;TeysJ>3Lpg0WI}uKnxD-?+uTs*@2#QdTfZMeqT-h# z#MslN_TO0t^l1%aDCA%y*cJl=RCzq&qOXz$%e+n%wS`-dd3tS;lqAzKpkJ8P^LQAj z%F6bM+)Rgr3jhD^oD}z-%c2VK=>IBW%KL`L^_trXW#IjWn3{LRBT;uZj=c{t(yULC z&#y*HD}#C}Awv>e4`vh0d=j9O;TI6FK#>{2KLFU0IsM7b9XpH>3H|_Y{@yt?H8fsPN+7P-*s5i`!h+oF`Q(!6iOIjt>(z-cZ;|MlYAe@sKiYcsS1#ko-4q4eXs zlSC0e_=rYW z02exfVxU*)Z%)+r9RE&XoZnsV@%387)4q|Bxd#5z3a27>UoSk);Of>^A{#59ZI=^X zVd4)VDqK+`GdSIKFo*lddU9%N!zd-tsWJx6a08YP%;`|Te8cN6VVE%_84CgBCrNGv z*_a3XWuYdX`|X|RQ`FTV(*=Hy+QTg4mHvVq+1J@A_%D3Q4oRMz?Rr^->#T+got@mLZ9vvw6Zi!97;>RX~SwVvH(;lzT-gu!2E zd9sg7xr$VLa4PPkS0<^hChKWH_Ab5Y+D)paFc5?ZWP;bHtSiGWQVx5a+?}FwMq_ER z4&z7|>LT6WguQ|l5>j+bqE_zwCu$Q4RaB(#gzA2VI+5YfT95w6A>G{;G2bp!D__=r z;1F`YT5rF8mCRDrwqw*D<4>#t9-Yvg=n0P=>K!J&*vFX#7!^Q<*-jbUC_%bDM`AQOtrphEFZv`Q%uhzx$NBe0VlU*_ z$3X%M10R42tiy~?(b2qlbz%iun&D8KGni6j5Yi|7;3k_&d+wb1ecIjEMWq=Q=fosN z*7W`M)ye3lEch`9TA|RRO1Xf!*vpp>%pb}I*Z|HNj75EBok%-&1;HJ2DdxwusDt{k zfl(AzoXA!9$0zmi%NN{E^cL_E)JK@9S|%XJUqTbz^kV&M$P4HfFg}-wW#r#fccJ?D z$z#thA8tIvoK8?%kQ6tp4QC@DyKm9rEZqN^lBjYI?6!_Z1^Ruw0?vv(R1MekM6*8u zC4j*wVNbO3vqWi{wVO7z%v>G+M>1<#>hQxcxa`cIKXky5c<9F<%gvjFTEDq;k5hRQ z8t#&cj!1jPoD`FOe0=2H$-CTn5IoS*?5R}`;_V(IGXoAg^CL@r(*{T z@bmisju@ym@!Lft1_v5@KKd2B{?5()z+-Fc>VjL+VGq`fy-$jG3Uq1cJh$-`S(Ay1 zxy(of-qEyvu_)P*yEcM;Gm~u!jh+Ro)B)Wi2BUAG zDl3tlF7E;$0ozj}zlvJtv(C%me+UNt`FD$&dv;SEeqaKm(!d}`$vqY)+VScqa z0fN9|hTimm0AC3S`iK&W3)A&3x1z6?zd>(7W=fsB_`^f-0&N0C@(T5$=!N9uyKl;r ze3+!9@a>^OEVX__u4e)P#%4$dpws19aktIw!0%thp~rz(mpbSu^a$^VY=7UgzdHA1 zGzS>RfIcD<3kqy)diG6!Z|JKcj?a4_3P^6U9iU9x!Qa%R=`H;LSjl9ryC`01jD$a2=OnG>tk8vK+^*hb={lD~O4t;_g9H)8AHG3Fc8|`~(cT#cV%@;9@KBO2k9w zLsQv=b;MI;{%xY$cnCsXwfEdcWareZ1ogOJ9@F`0H6+c~_0#Qr;y3p2k^3BNb5i>h zwQ)p7@5RA#_uFH%ME58}Uc$2aZ+R>Y@&BRjZ$?~7Q(7H+G$DEFApfBu4x?2@-1~bH>7g7ENoZ$jCQ$)>5z!<;M`NAYQM~)ko06;iIuB0A0lnN2L(yl< z<69}PkIe9KxW~Iz`Yv02QBPLN@6^;}Oy?47-R^y3rOSRPl5ht?ZzLs%ItxIZdSJat zLn!!_m9-&~os-iv-=YkPnLuVWlfjRO?PR$Mj?@Yg9&+v+UKrTJ?a1 zyjlsmBeKT|XPgAPMR=FZr^1ZOYA+8|hwTtrW=Zen{#%9|g62_=$iCh-1qKOg2|J0} zrplqlU%Pg-OnD}{d^}v)!zInddpW(!qH>mRxS4tXx*wl8Q&^$!{643FZQb z>ye3@1pDUHhO|jU(O=We)YHr&j>vG^okoo>Qh?Y$Oyv8>oKm#F^!!?cHlgQH^zgfb z`~gkOXIKDmI^m9|mJ`xVdbr%uA4L?-qS90k_ADBhi``X2cMp)11PsDDT(%O|R{2jC z5Y1G51!Vc+7a8AF2Cc~}>Lh$*AKw>X7X7GnfH^%}jp2XtN_s+&2@uykoBg`Oh$hf` zrY}@_b9Vo7ik&|r(<|0@3{kT;Zp+g9x~8du@`Qm1F6`Sd8jQ$;P0zg&;)(Mevpv&| ztX)66k}BG5e0lw>P~naF2?Oo2`q8P=m44(i)76%A!~W)SyjEs)dW})S{b}DO9mJPB z2AlH0mAzrl7I)qEKPeZ^vn1I<{KoMzo|oy2o4M29t{$~gSz;MzYvWy2)<_V%BL^$0 z0L;0INHAhB2jwR;a>9U

        nI4t5DdE^hf6NB!|>oHT;T zjfERE>vqg|(TASe{#)7Er|a+am2iIO!Ub~zNkL?>bf$89X{=w!E4+&s{!sM&1zm!} zI*omApM2FR{%Uvoh?D54U&I*e6>U1)Y& z8Aao}eQyiZgni03(RUIm&lXf|&E>hXzb;HzRPoJ}tIXt=Ij>>SJ2Ca<9LZJ=a_nih zvrMkHU7H!wa~Im$`zU(=L+>Ga?bOe?`i#U%O~>xln`ZRe9fg z&Dmnh*c+KMm=nN3R#iC4qL%LTRCL=ukHy(?EB}aNjVrSbUP_jJT)lp8pF6IIHFND! za~SXyUXl|oAn=CC^S3>Ga^*X(S>U(&05j&w^1hLMcJo`QPwBT9l#V^gD^BrZQ6_Qx zj*8bGSzB)_Q-VBa?b^T(Lj&d;FBcZd$#k$aIx4y`>!m((D!~M&E3+Q)(DaQeFXrPH zrZ_Ae&M&W#bfb;gK2Us{S4!1%3gX)V814Or&@;AHM?il$g_rXCk^4E0J#VjXt?PT_ z)lW75qd!bId5tgU&@ta~R=?u@D!NlR&JsmkAv~TZtCD@KG;fFmI?gNT^7pCoY!_ww zFE0I85WGJUp({z4aq-<8n%nq#a)nP#Y@3nG3~tp%)d2DNMZqVD_xdVG$7@hb$(uds z++mKK&Bt3yWSIpY!+)%ULDauznebw!A?~yM_4M(2VczQ_bq6lm7|Z|5R^Tf>R1}~| z@H(4*=C@A!$WOa{JLzf&#@1e3-`Gt|JThKMld)Zr8z4*eVcVsc9z!0q;9VcNAuS+w z-phAYT~w_81aAmk&r|9`p|76lSKnPf`>NqA z=iI=r6ld@FT0Dm#{JMg+dD56dy=~z1Cd&fKErCQ+fk5ThP8xeLo`xB_UM}g}{(-Rh zrOkKl6fD+Sa_kDsnHuDY<4tcnok!z5zJBSZkkJ!~L*1{$_BX7~=1UO*7Xz=o8Zd7A zB~A_}NLzOU^_cv$?cMqCo%3B^`e8AkcI2pj#`$0FFrajD0kV>)JzbNazlBvQ* z@hc5BMTJQgIk>>$QWK|;kPI}2^$iURi;Lfs<4AHZ=dv|tWdKY^rHAj>!oRIYWwKR- zGtlGRq~eM?#RS1i`1Q48Cn*FfMk=1#)3kaqQ!fQ-Y-77HH*@0M4D$)KFs`0yq3g42 zU(D7H2)FUqdPT2r2_9eHW_bL@=x$*THQzPMiHA=MT#g8R+bX1W@c!nb{w}Be;#r=) zW<~OY)-32;lp__yF0{0?rE_P8HvTI0ex2M+DQXc>JY;LvQ3@?5Jlx4!B)AEc4aITq zqiy~Q8-f@+)4z*z_~U6&_cWQ6m@;orFPuNMR3WtIY4hc`ywQuY-ov$Dwy9MJ@4jYT zGe)%8B(}Kqj*)_|8-&2|4>{I&z=w8KkF{belS)D^Pa6`Gl!A*EfG{iMqV7)_w8<+ied!x^MKG z*4d-Kq(Zx;%O3h?}!SoH@mF8tde;Hs>p8bbOxW zU@Q?eShO~EC#@$5a0?A>j=kX~ercx%WeQ4dQe_pNonu}!fL0SGp!-_s;1v1=#(D*@ayVY8bavN<~pSgzU#-srgvdrl-US~zJsr;>CUJxFpbA=f@Mb!_zB8fBW zMWJ5$J4yTby(haER52YBLuJ5!p^)6MIxq-7TSCGH6jH~tT^<-s6_qbbQ5;tpFq@Oz z;K?CjT)?Dw(3+g}{1^VVH*OM`|LA-7ZGKH)Ij@0-fc^Gkl}y?Mp+{~0=FTH@v4UsE z#63@vin#yOr8@M)+e5$Pe81<=qN5a?RD^5W!d5Yo@e(W(3HqA@DTz;RT)y=q=P4SeUy@@|9S+qc=0r%NQCJG<>-F&QtAL~($3F#= z?j{Crb&ozjQH(DCMe!d6ZTyRm!!{%|%v(^0EGINdb<)&NfaU^4ftlRuE{NgUS5fI? z7$i#VzNQc_NO^M7nDe3dT5_$mul%*M8;i_5B(JQAnLU#Lkuz8I-#rQz(44Amc49Q5+3YG`z9dMq)9SRZ9@%Dx1C#Hdik(+!d0y7z&d8n z1_uH?W7@#6PM73W+`|sV`N7_uiP(x>+ zKktp1Jvce>;(FMzweCFSpqljkS`TwRydxZ2|BhvoIkwYAJ`hmn+~M>y39!4!DeZvq%xF=|hh^_9KX1m?Wz%9r>|+NFzk>v%Kd}nZ%ze z=G{Sia`wii82{=yGETjxoS7<%;mwwP0((F+(5>vVZypfhjUeJDhQER)>i=2n5bA+By&Q*lz;e#b>g zTP;iA_a_`qls@G%H9f66%wGA9=~+9=h_#m0#^<3W-KKnKl`;zVr)d2U^V_PT8MA55 z_X=}#9q$?WcAM`?F)H^4X}{Bn_h=m?;Am=YlpLrK&_xR;)e=Sdf&1s0-dRfmZE$&Q zS=stZW&kX&Z*bg6`28uf#oO_p{<=dt24%cP;VO^%;-KnGo!)2%zvlb?OuvhOKNlAl zCpwGupIyJhk@GEwu9oHMuC}VJiodPV%4kqxjX6Vb?aLZ$97=gyht|(qjjFEFxP6(7 z$=NV3#6YLCI?P>&)JVRgJ7We`0VJt1+{A!+fUhuc-S8ij?spiY-728}F%^N9xnVHw z*&eY79#{0S+orM>`q?Yz1rFHWh;ERF;J|0U<(P)ZOEwvm5m4QGc{ga=t>d$9$lOLoF=HrfnJj^z{ zDyqt`Y-BGJ+}ubw&ey}T{j*XuSs_!NiuKpiUW&Z8?`4)*ib`q3Y|5ULBUssP(wo~e zuje7D++Z{2eV=C1>N~XtmBII*G~6Sp<3DR((zRvFmZ0wp7ii9GkQ<@gm54VprZmb8Y;Gj>)&`?j;4s*hsP=DTwV zovCbX*=aQ=@{@trv^s67<*AMl&d_(6ncPx7<3<3DIUB^HVg59SWOI*{8&Yt_0oCJc zvT1{`RrBcmabY$N$1Pk2L>)G@Z+54^vMB|-N;@e8V`P^!PBu5zdFkraPTau)QS&Ds z*~EIAepZ8j=*Qf4rzt@Y4(D z>Gc^PPF75iYi-{?_iaSo|EM+l0DC z{Y{epvCV@76UWjee8#JMhTRxgkMAnC`xn?q^YBl69TH#gz9R$&b=Od zCEwZo>51>rz|qy1x62)qZrzSb^+;7@XR#HfVQCe0^9RfdV=$!azRQZ)Jlxp`fP}}N z=)J%H=+6FkH<$7C`!-(u3#fENl$=RXYnz8IJx*!Ku5-FDJeIX3gs ztD12$!S)7U;oxH`lNxhaIOSkw0rQ#`{>O8<+S=rqUtF5gGx|!nsibRv81AFBm-U$!6(-92(62VT+SH4?kZM!{I=h`q_4gBojj|Nt)F9wTUEU^-N&YeLP!| z8Zpz!G{=~XP;#X_qT9l;$M;K;ZjO&b$f@7j9`WBMICW3jzh(BBefq*w;WOpumzrd? zcBX-5p9g3<(}^ZEvNAgvVluy;Sn++*P%e6j(!{5Yj8x(tE8Uf!9kN|1!@S=|3hS34MLq>(-NL)kk^_v31(3X}gU%24|nM zCA=-jJayQyQ&jbJ)yJ^4N#!+mVjm?{a(e){@n34Hne*yJB(4V9ytkgoSG0sMc+zCQD{Az{#Z=7nU%gz!qNHB0SS}6dt37bXTMSqg2=1_Vj5zMo-(gL zfYtW@@$pKdkk8$9JZsb!-aP6q3y*TszEcU$i8X?PM~ZCpc&z3gK6zr-XF|{}jAOau<{Q$9S@}4O>_LGoT9~psXn)4P^H%80eDpH?M*KEQrCm{On?+SeXH^pY8 zDJr_N+XgV(uWOT(fv>?9(U+9!ENdyBlB6|Rrv1zfeJhxIGg$>c*eGI?Dnuem)C57^Dgx$@(?b%vqF?7Wi{|p~4_tjHtt*(dn zUVB}0=x`eEj<~j!Y^^kdY<0MB_g&kaN3tGx$`W`P=RZqVPKAyc3LS6HIZWd=GBADo zwn^l%&!)B~LMbHUg40X3eJnFTw?R{rN%dQLcW_C=oX=p)HaG;?6nAE1Wb{CJ2#y+7 zIXqf05)ks8)Fwn`V6CU&6IugwDG*aehX#YM(G74Mr}|yItfa>U;_O$gFH>@yVa$VI z*G>zAi`QN^__h|Fkw##?y5;GM?W-$=T~p1{Nf^|#JTp6(0Fl90Xn!#EvFG&LX}A=} z`XBw=p3@sZL)sVq5!yk?drS=;oQfK5DRPt8yaoKn$~WQ8bCGK|(Cs_@GR3lfRI9YK z;FjV_q?Qi3Xuimpq)^0@qi-$Kl5fng;>!3taBhXNNzG#{Y4D&I0plz;gr37sPIE6uT-^ubbbXT5!U5pfSi{z-C)ArG~e^1b_56|eCI{lnUcmG+a)<0YgzCwU-m^r=s+#B=}(g*I6d^*4Y2o_W>&vv25-ybLVfCuBUAgvkc z=-M>W6=5q9W~>7^Cdu%Y^GcFo(qD%qp?_ZYG7GLEw0bJ6JUnnW%|YzZcpO&L)Sx4I zCC8kttEAU^DLJEWc`hb$I(1w1d~+wmEwaXQjf9bE+X&s-lk*)Xd>8{C1+Lj5XB%E@ zqIRi#%_ukzMZR6-R(Jh;6n+amQh}MZrb|$@?;?+M{mePs;^wRHoL1yWPF`V)e6Tmq zD!U7V6gQo24%9#EcU{JQazzn@dJcF4#1avM#gOiqn3zCuI^J6ofSq?gE_=05+-4&V>y5iH)u4##e3xhkV7X*mBh#&x@JYeN_()*FM|zJSQr0 z&tq14%<$ZWp$Qx=CYDS|bJO2HW%{lA>hf0&jnGfr(J6;TYSWJs>!m~*VTLU^zhDrP z!5|{?u9WRax%Iabgr|?f+2jl#({9>wv#y52zccFaCSWG9{dEs2YbuPpE%KA%U|=5?n&|Rn1$j6dg>vyfcxR8iZjne5*Vl` zt$(=sI8UCg{YE%pW2{(tvY)BVEyr;FOyjHFc5aIyal3DIXdTtfnK-veXA9THJ+J&y zX2*){UQt5PCPrc9dv3U8PFM}YOwS;j+BH23nH>Za4BT3~hbH3WkF}PZj;Q03nqd9x zXUO5RrJP4uHwP0`Bu6_qa+sP4kw5+EA@rK>jJA**RFfDPaY7@5F~Gg-4*#Su;dx($ z$VI4Ko*O(zW1HQ^V`W8<^*-v)yg)ury;^$i9z)w({?7B`NmRW~=Ck~%`!$yWX2;d4 zBUF|t<|TH%RM_2h|I==UEKYjbk9OLuJIXkzv@JNfxMYnz-|p8MGG-;RX-}DJTaa;m z=p~QLiAvUCaMeAW|M0%RM?3rLJ-fXnzAYXzcz)}Yo!fKUizCa^AAfu0yX9N!&aR=R zxy7qBgDo#7g<1_vql!dtJl#X3oLSQIIEaP3_S)9b&et5ZRkeJ(=H3t#2;2eFmCWEkH0)#@`16)m_|O?Cf%!1m%{-gI8jVS5=4U{`q6KNr+9MIaoCK-G!r@dP-d?-}K*ick&vxS8%E=CaeVAJ~Z!G z&uP@&wY0;L=5r12%N}2v)4Ly6q;)RI$((*1tSO1A zlt#%)E-)@3Q^J%J!m3jKg)MwB+jBdnkA!T2iEKeZ$+GYsn;QpmJMSK_k$Bjgy)KxC zWK)-w%z`Sdpw}LU~)-%KA~z#T3jtS&Ee>v@&wal()qj^8*(2vI_{c?;}6v- z<;_bA&mMc5FB6zaOyJ}>)^TU}t7mUWfvkR`U~JG>!?~_2HtT%*y~W$1nC<*63Tns` zFtZxtLDN_ahb}dk%|NkFNxJ8IJCSH=YU+zh3zP9BE2WHexVZO#si~d9wOhBuG51hr zAp|wXpn`OB@V#w+{)nF6e$_ab^{`2<%P=FMv|`ZXCS#F0TT=;$#_ zf`u_J^ab%Mv1ac{ukK+=Vseu8dw02{M`u45;rm!bcG~cGsnkv1Fnhw@8`pyNdkPqh zg?$lkCy5GSR6T~N#m&AhB!}vTEicvToOWcrqT>+9m_)?#x%+L?xu0}7z93C8+~`W2qK1vHqdSbOE$k(hlP z=MIJ_8{~}i`w?#Q$}_8a_K|6t9x5BzUaA?{qIpcz$4y4VJbL|`%hIfHhJ=|OmV7wu z6zTqy;g(Y$q`9L25s?~!mBC0N+B@96RFdnhrqF0uLG8~*VlYL`H#m)roD1aoVc`Iwh^;*yw< zU{P^moZJRBr|>U2Au~QcIC$*DWtzPD!FT-TBIMtw4-k~1)5VGcwv99CMAWOcYfp1l ze~8^V)}n0wAY-uDHI>}5sFeImC5>b8KtFwm4Q`VR-R1h=W`_ed0EXm-PHj8LMXv{G zq&|zfJ^RA!aS8SXi^sp!F2#;NdN}-CdmjfOTA*nr&W$mjIQV`m(M&rvbR|Nm=~I6M zTmE(9-Me=~%vs53b(D7)Hw6$vnFSrxwuCQB@2`K+@#O}#w^5Q@dSzwzBp3EH`ZD|? zxm+5;uGQXtLxonH;3VR+u(GQyyz?+mQ#fk%<|toG=;guA{b$dXnM%!k|2|Z~nw@nZ zmy4cicSlhgZdv)P%hvAzkl|)s@RuCwZ4ve7-4eO;_5&BmC54#>_WAOo?e(f9)CBhTzQF^G80dJ2tj}1^O))vlhfPdeaK{Zy zSb+pR+}hCCn4NcK`?JHW6;;q}x5=8J~k1tOLgC<^g%%KYDC7oJ8c*seZa)A>nE=T)f8Svp^kFUOoctRC^ma(s3L%~)H zW%~U?n@)bCIl^>Y=T{6-dY3!kNbYsj;ts_)_`+hKdNEghNG|)Z1Bv04x50!u_gJ^r zrqrY_(moaC_VX{8b{q9~Z7;PV&iPC>PVjbceLeN*^V+j~y-WOY#oMgv8y$y~`!DVY zu31{YSjR#`_Wvk*?|7`+|9|+D%xn@eA}f__vO8%BiHwA@N=C?DQOU?k%9c?QvMM7h zWhIKJh-4*^Ei>hQo?X}H^ZR}8`}epX_wBFiaaGRudAyI~c&+DHVJoT*`S9`4qo*$o zu3u*+RM*Tc_4#x2>G5ChR|vL@a`9^B(XR|kbLkKEoon0%-VqB5<|BZ6D4n=c+dZz(&GQBzowLo6?J!3nzhaD=oKf$hrq>I}6EV;an z=)VDibTaBa4Gj&Qoc0Rc?jtW~+)0WT4e#hEDq8=@bT%{}NTZ=3&N+zv86ltA*`rTY z?+^+WKAv_i z*>xghwFPf<23&oF0m7@%`RBiSABFwuFOMA&JwN(?K{f4PmWFiaelCWwm;qh z_6q1`j8)N&-R~N2`z%;y^?7oqrVGqiv4>U*uQCZZn(mF}r69yo-#d)Rke?iMrrh$e zygk`xV$YFDwFo6M6Emt7>7Esy2PN|72U}w#TBonyk_*!$e6cN8Yus(C=VDfOpp7hx z5FC6~t|)GZE-q6)WB3U}caz4gR?_`n~UKP8(Z_A9waUS<5kunFcWJb@_}k0CZkjUzT&6>S`;Ku-4>Sv}4RG?{^d zzhG~#1p{AgZJE!z<65xwsGtOm(g;oYQ^gy_#UvwjIG04L-V6w%Fs^+{_fI5d&P0s* z8=I(0?n)OlDsAQ-uA+3HYkn~xIiWf!b}fsW%(`Su{mChzcS_7jc)z<0B8D^(L!!)%A9Pqh;i!4AP%c+AUQ)GPn;5$}Knf5bn(WVk>fS>u~&O5;N8_ zb>iM1hd;M^TY_G_-8eWz>9RG5Qi_pI!e1r*+6=|BH#9{Ol28fu40(qu7unWZ%G8t- z78ZY?X#WM$vL8Nt5Qw#FisVeaeKbkW^Dr*$@2R_3wQ{=BRQ#ZP|G2Pl8VzHpOb=EG zSa~5SptcNev?8!SB2@TpO%NvwieU_4DD^RKVEG;E$y8r|f}p-7eQsrDpZCq0h%4WV zR@S#vzxv|OzP+}APBL}1^5#o{tCv;dpY-L=nNldG`dMGuZ}Q=N^_qQPg7|(XdV}1P z+`1dbpVh=Vu73bXE?d9FkY4=Fm1I5N8j{v4uH|_=_AnA*bAofV&{BGdfY};!p0}=`NX<+%q-?>9Z>N}y$?6_KF zpJED5>4(qUt+HEz_%|||H>co_htZ&Ga)(#cp{|~lvEZ@!OVQ_oSb0m5^hnA2&;SMv z&5@i74XnrAe_pBbly!c1GUL-!^iJMWza*tt` zn?(l0?R!3KDSkV)s|&5G)(=btRFEI}a)pWzmeD+A^3Z6nMRi4PZg|Oih+q;1(O9|I zKImNQ6GCbb&Tt08skk40eP0GxH(5w!64oIDileXMF>%{6`Ibddx`gFR3~QRcd@i=E z2MP$I3f8S#ZD0Js%ZCjLJTe93zO6&v_HcBfxUt;Ow{K-OEw?~BI_;v+s`od1;ifqM zI#}vdU`}^ezWx|CMKDvmey&ZCfB%UPs{IFc+>RTMjzFf%^{X)J7`ZZUyDGeNC-Jdt#3dX^-W=6B?$G=$?$JqxX@tVE3l>x?Ark7x~OB}y?vwZMxe*rc&VDl;rU zQ(IJ;BV^a!y#)^+cG$@vaRiI+(lce?c~sK`8Zt_lf2FVnrwKAm(418`9%|tfvE^%0 z*o!;YI8qze%-mx3g7J8pBVX2if=d z2z++U!vzMOirUQ{6TyY%uB%c{O;eS_`88I=Uo9g3f_iTH*oLO6Ku?tJ4C!Jg!_|GU z_vtR|<#$;JkzFYMQ%Z&~md|#3Xlu7^JL69xcBW&72+anh_h8bQ7Q|a}Bx!$x&CT}h zeaQE5C(TQBtKWMUrYYc{co?Aety{NF7LpVwZr`@4nn*qHH=E6Nyd+?TlH`4;z{?Nl z5*ivF3=p-3bnb5~FLn+_r7eFb$X>x6tAct?R7`WP^2NNK=DQ#*wO4Lk@`XB<+8)T1kVii4>i17d%+7 zW;c{XZ z$JNS~Qb-*85yWCulA6k$t$$RlTQj3aThyLd0^b$V*9QAOne*N|yML;ra47KVpk4wm z3%#nLM?@lb)KI1OQ}*`Q>sb;Mc~r$C3Y03>o#h8l(WDB#?F?6m4t##CT%5m*?ndCS z^Oo7WZy4v8&-H5x21$JO<=L%PzDoA!p1$R8U&4{2aPagu9`UWXNW@jkUWe0a;X5u= zzYTrR){Dvu+HOY@Pl~1CG((XGPq!bfgpcQmNj8r}ysNVl?@}Ctv-K6% zrK}pDSD(9&>*IGIrlNNEG~Q=lx<=|T-(A!Wa{(E(afK__>!kkGr!oW=xB6GHOL;eX zZgBWcsMEB@^}MHlM$lrepxoEzITlfJpR1NI9NSn{$*rTg*~*$M;{m0J?yPy#4|GS^ z{GKVoPN3eHBV@n-ibN24HeBs=Snm3bLWL*!y}iBgoAgwYlDc(m=NC!VyvL9A3yl1{ zy&=10qP(40)ICt?k&h;cghYozaI1;6we{u8wYoW&gE-|w6gC;eRJfl(&9F?|{1lq> z`uf9DQ#` z1mTA%eR+Pn_3?7JR^wlv&Vh4H#pB1F-QDug*7)KbB1Rxngq8K z5`L|$Kq~i?Tjj#S0vwzA+$s^V`s}ZvbI!hPo1c$Ql3G8W6bc+(%KfCzZJh0!a37e< zNwG}K$`T-bWbZTc`-(dCg|y9;KHeMqA5j&v6g`iWElZ}m6UF;uj=SnN^SNi4Ey7i$&%WB2 zRceTbu7HX(peE$de4z)Z&C;y)kZ%7rHT8a&0%r38(^t@-H(5fs>~8vqNK2 zPX0%4+j-)hgoO0{ZXpGl1xE1f8hBhT1Ql#pdy=`J_=2WKJnL?E#eVdm92^`zNump3 z=kuu+n+c(C++C4?Z-d;~akZ(aqGAOhVA2yZCTN_UW_JVO3`NcMr334HmD`54+ETyVFQUO4N1{ zurWx~^T%gLy8022;?q>qbQ9v^&nfi({bagFxw-oT)}9WziwFsw`bb^_3=)PtJ>(zW zzb|&%t^-WMgU63q)GuHDWA4>&`{{l-5@-lgEmaxAD0X7}ZF_rrON(XsZZR=a71H1c zQB1T?OxS>4-b!~93^l^Z5iLMxIaZ&sFrjX30Uf;B@ zHu{d-rz!47_E)zD#r6d9d494<_qu)aW(RgVgrrJ0_{FyVS=>j8Eh)~u`4XLCXo&$B zh>13I(%sPD`W50f()5j!0I30wlFZ9dw!9_0OPzfXPh};N5#p(VJGzfcAwsqr7FMb$a8O_= zb9!;BbyO;;%|`pgiCD{^BZBkG%kuAAqI2`};pieA$sEy$l2+JShAV1rUBS!CD@psD z)Pw5k)Tt+=g0Z@$MyH8w+qNgpJf|i-envLKv!#SbG+t9+?&nV#&YiJGdLG0Ksauuw z*hK2)NQ?JCB{ZiiDH6A&?SSHAHrj*c=4ma7d3j>>UM7MpyY6U#Vy)Z+tEqt2=K0xK zT(c5Bs>rC8bYvsUS?#3`6?Jdl#>&JrI5cD_^`N%)%ZmH%J6a_sj^9>yu}5fVXz1K! z#2#s)y5!|$EOtlO8r~eAmLG=96caNgI1Nlq?fu1UrIO6VQFH{IRcHrj@UTl;Ryq*B1=GENeEt4YnhKvfOQ)2J;MSJ!{e z&Px2bf(ON-OLOjI36BiS=n0dFlSI3@iQ?Dls;rz`a^ySv(x&tLqM{GsSLhuX8hY5) zHhXRyX|!-V)slST>X-;&~HDmP}=mZ`QnY|xHDH2 zwxq14qO6RTc$=D9wtnvO=g%pgZ->`vRA5rM|K+kVFMKK4KlB|FGfhauM`ns)({NHu zmeW9A-)cQ(erf4kdRCKl&+%}&M!cyc<@50MdT(Dkccte{W|Q?#UzO9ds8e8NFu$;n zlALV%r@(P+$>6xkXz`0M$52;No5qx1oF!cN_}$dxWZ$Hk%Q0?}8?*@0oi0;cr!6;3 z_H8yz@3K2T>Ficx;k*!-pjVtja>be2U~ug3t&WYS6j>>Q5*>BjvO3psisFQ()0i}) z$9eio>z_3HO)G1vIMUr&CW~Ae^q{4U zTawi~v~(I5+Uso%Ot8b1o*MNEBO$DT;3gF6(5?qS2%tZhfPO=GBl|h=A>#LBf@LDa z1TfDjnb|n3I4kBN%_@%-!q2B&%OPHQ!hJX-xTc+=EC<*zsD3m<#Oa7`0=f& z&C7dTAuq@tfpmp4M3T2&JXhl6==3x%6#Z2{N`#n`TX8@MiItP{f|RhD+Q3Rc1Tj;O zw14O4=Ofc=u?w(0ym5xA8gzZC_bMv(&N^E*BYoNaTx@ZE9(IM2e|PtK%q^{Kt?W)4 z?E?p{%=MXLcSA})PEz>OW(0j`7vb%*T5=42`^JtNVI7V`^H#<`I0Bb#q>@^Y{aBlf zhxg4S=`=n3U_UbBf}{)Eu_Y0mS`IHE1l_!Mc9G3tjaDOtNl0r>p1j@ShLh7$!Qr_p zswFWwnQLT*w@*Tr(|VoPLXZVI$oRYXbd_d|!sEv1s?NS%afjPsO5kP4ly9b@N{J-R zqg{_5&OIr{MjI!Il3DK0^ua@i)>c*$eWt@3hv9RDeTq<|U0aXrMc5iOXw=3Dsieq& zUXB=C>>+dG4Aj)H|548KTE9=S_YRAPFf zY;9d;wVwlA{+StPsc)cUG|}J2pC8TEA0gcpA>lWxTxt9Ng9UI>S;oB;wLKR)5RkJJ zwuTUb?Pu16*3rqXChs;higkMZCyQk3IT#rkM`)fnw!izj|6ccxsB{+nTx^PNn@FR4 z+rXqJfk!z*E-X6RDwRh)SBnk_Xeuks>Z0?UPn&aVyO0=2aVIX$dO=|c5FJBf<7Gv8o?A5~dMAzC3;K1aopSgoi#F@l*uE zJIf`IN050rog2fTk1qR_ui*=qxBOr+oK?kuf9EC%DUgb}f>cMjy!a_ogE(U@u*!xdiAjrCu zmY0%p8o(9PLi%cKY**=gB%pf}NI>})D{o97&1Cu@9{Nk~y_4(vy#}ThpYJ|^bhGEF zRD5VCa4{M>o}jf~g2P(K)SFzh*3!3hBq9v&wt;hj6{S8BW5=WE;$f^V7Gf;#J^s7ZTsv&gPpEjA)}Rj=Q^mHSM$WsAeAX@d)`39@QzIC)Nk zQ>T0Y2`#&8bo`1%5y0oNpV=ZBVeg0#i#+1)-HR3D*y#QjHq~E-bm6D+H~P8mkc`=z zaP_WQ;1}<=2Qei+T}!KW>1&wlcH37s`GpNwCVu>g;ofgm0Wr$`Hm{iC(jI=80M2v! zMX@`tu?12hU0-(vz(slFlRmOwVYS4m{rv>sPCtoToL1{csw{u^C-c^=AKkT zU&3@i>~Al*e?CgbPq%!I#hQTh3TBH^oN;)>&ut`atX4I9ME)j~X2|?LHPg3OK<+XQ z_)cr-m8N5nWWk}K7!vo}L=LePW8X4Eicsns`npZ#F(6aLJvUHHn?_SIB!wm123n@V zO1t*$Yk&1h;xn9H&&HKSaqg3(Wa8oBVPz#h2K|1Zt{#s*>1IaiEd-}n9E81R))SYZ zgK`-nH2}Zs?&r+gJLN-Rdj;b_NX}Z2?V;IJY|1*w0Bh(|>lYSKeGK@u_c}ZrKvQgTirf^st>uq{qP=-m2!vU_LCK|Kjv{F(%M^0UumvfE;{TRE54fT>EsX*+q z`y_p@&nAz(Gb0T?gW?(Zf=xyFQ3U{710x@jL$Q2r)0s`EMN%ZKDG_dMkwha|p0ycl zX7>sR=aepCP-oIA%!-gTe*B9PZtvZM>Jxs<{YpdaG53rJ3qi2T7y(wX+YAzOa){*h7F&}4a#3PGyx9tq2vj6Z{r0RI%Yhrl=H|a4^O}_8cAne+-HFM` zZ-3N(Y*Tp_cWB2JYUgF`r!t>gFSGQqR(+B`6i7gMgv4}{6Onni`0k6Q(Zux7w?fow zxPR#L_x2q}bIx*CmC80g4zCREc&!hggSC#j_6xJ^^R^?duB<@5NJv_G0m&IU4%q(q z3GuU)I(6yNd=MG=gX8I6@{RXRw~j>W=RRFwIYQ}pJ5p!DmHX#Bkx5xag;W-PlwEN= zvWNY2wSSNTSLoWfktiDqm8;*?OCZAk=vkQHP%HAZ=TPnnu_OT%z(BxqmZt`tdsJQR zkKKT?c>db@=Cxd>7}F+m7NdiQ=m4*<_QyYnPrGQ(KK;FP`854~TA4F>_VP<5 z3+qbc-MyEo`5UaJ?fl7iTf8(S@SUC3eiWDWEjq@2T%)ZvT9oiY^llWRlUa7a!;?(m zbrK4`Y#ts=Z;ugQjAYVW?`!2V6?Y;?IAQg>9=M)iSx!AS&Ek6M++z`HSAT)nhoeFi zG$qe)X_MR~K>@+Gz(B&J`0NY#4MCKT87NZ@($6akjUXLmxCh(8u))%31z-@_UfWka%jnFYH>X z9@xG#IsO&%kQK*+ii*TFyaO$*N;~q-V3`?Ppd*tMT&&Q^VMe1Yp_PiB z>nCQmq#nbsUepJ!)rCQ`JVeQCtqDK8BR&*r*CCZ@6X_CK+d{y zsJZ8(PKH}?8AmC4 z)4UGv(wnLyCp2_yx60fssKBA(3o!fQqJk$~ON;-uuUsgKY|ovG-Y)<4X2mC7o*IJx zsZ*aoV(Vczi4_Ef4T6|o@li%OJdn4Cwq^iYY3O_W(=}H0TY6+BKGVUxcV~vSXzY>q zBy+g_N(?gNmL(eQoIo>OW?Ne@tbE_Jx1TSXpB^7?dGTQ{4gcq}XYTHQ5g}t5ahUpy z@(HzVe8st6XRLm|+RqoWSchS%OWKaz>maclLiqm83-o7n&BZYq8!K zg*C1hO+(4o(NXB4Zn4wl<8Q+3BEg>6V)Gbk1?WV>P+9ZPA;lNJ42jeZxO*`6A*m>D zv)aldNY$~U!w@4Y@2l}$jL>{G(WUeFG*c6*8 zY8Ag={Ti)+#EF>d4t(YdkwZvkmOmkH1bSm~!1=9sykK0*W*Pb$H{)+>2?2uga`Y-` zoH_i8&S9>}Qsns^rs2mH4cmr92`=Pma>Ja`JJnu3`VqE?DblJwOPOC^?A;R)f{e^y zk0g4%^yu{>KEc2?d&yDa)A9`yaz(R}bZS=t~6;!Kfy3Jl&gH6Kz zwzF&VcLXzawsiz^MX0PB5yM*NiT#fLuP#0hrJ%P{iOJ@8!FN`?s)lrzC*NC})X28~ za^&bx3GKF*i|`>`o@`1dt)kstdu8U$1kQ|Th9?)@O=`o+yZvui5SoG zGvsrVIaWk&u8i$z_u3zJ zI+M0^VP>=xNG}|6URnFwwv5KPv#VnSm%*Ux6f&~17@|KZEPNxnjLH`au(IMUtwhR8 z&CF7-Z>6T~)_F(*%!9E6Z&Z?w-lRMA9j!%R4q+GVjDZ$Hva=E&G7iWCQZ5a7inVRV zZSfD7qcDl|)X^6hny*+2nz^^OH*V9{g#iQ^ zXFlzdKy@l{e`gUS(6-V(d*V{*N;rH~bW?+jwrn{U?vH^I?yTxYiegB@FU-$B`W(Ik zqt?oeKflhP?++NZx34b@0IOhVET`7+e@HY!uU}8%JY!)|i&O;x#n{+5LNg2Utv%KE zjoz&@3%F}#-iTM7EAH&SUgpZqw$X}?l&9a@9 z3a}ZSl6y&}aPaEsvpakjUp{lQv#Wb|k3*%h-Vc}EPb3o)Kl<8Sj~_jHBL4$wjJE9$ zNmd^#buSz0N0ZckO+JCG0G=EG)?Ba&keq*e5~ZYg-X2mjB&`Q9p#lPa!?F~)h6Ge? z@sH8aprR!G+|bMdk^`QA7<}NOd2s(eUTL}W81y{tI(D>fIPqk@v$NX|Aa$uJ=Fp-k zsnl%s66oe*EF7$Gg`{VSz>V(2%isQX`VrF zA`zM}Jb54+-;Qwemeo;KF-1jRfHux87isC}1c3Z$p3`MR*{vfQVhPQ~(!h<&1ays| zzz!Hk#%icZv5Pa>?dV=%8(CEyBdKK~1z8P6wL!8S{jY^($wKtyZzeAfIK&dCUUj#uX0Ok!afex>U5nu`b z)}For5zNbwj|ULTz}2-R>4jGIrOx|DovY_4n}>D)9upi5bU_9p3V*Nyb-l;jA?x(b z?nCBQVxpqdbq5EtJbvwx^>e=X>$MA~=~>xgZbC8B3cKB=2V~>~LTO!}GW&Tqu{)(D zdiQ_h(+kY2*n`Z(1F>>5XgETZ3BBbUYc#U_0ozLlW{@=J!b~59`l(a7AM80pVq0vm zevp)fkmzJz`M!NW!tMT0Gb>)X{8@`SLMjuv?*Wcvy{GIkPhsbC7fMgSvO7AcLzEXJ z`6Lze{t*_Xi_8(%A*c)0nO?38Jy8<&@9kBdt{rDR4>xs>Jb7+qwDq=nTWg}+=9Dvy zNp%IyMTYLn|F^Zfs_4!0Qo_@ZZrVH7YxssBON+?_t;ya^iJc{f?TSW5u6u8* zyI9Q``JF|RjQY@=ufOQbtLQ@a$qF8lS~4z8(n&C@=on5D6d9R3ML439EqpuRlLNc{ zX_WRgH8mpIiFI?XJU9R1et_o*8%1-|-ob%{;@k2s#D~97eCtm8A^Hpvse3MIGnc6O z1J{&P4KnEJY~9Uo9Gu)X@Z$8PlXIpCxj38{&|y;M;F+Z_>&&fiHsD|bH^wiZFrxXN zvqzACE5k_oF9fvvtIYGdUC2X;+++wz4VJ4}YqF2dl`k?uQ}E-HH~gb-&#kx=A2=X# zJgc&|N$GrdbO$X9dw1(!R~%qpcI@1FFL2`zH(&3&zd(SAtV(KUXJ<_5pvYr&{P^+9 zKT5VXw*+5GuI1%#kUDtqAUZb%Wy3nh4;&y1f|h9q#<7o85Vs-9O3$bId6;WY8P%H~ z7EM-+%ZEjR6PIaKe^Wns{Vp}Wl-BKYM}zZG&n&$R=QHiGLF>#a(uP`K5;{H zGmNo2;+3}U!FPrD^(wraNrK%#T34-b(*of}1bj%GWORkwACqZ;SWy`Ey@~pv#_c(* zkfet(H3^wgrY-zrU{MiqfCLTRRaPOkg020?X9a+-mjSF3!UFp;wh{Kdk5U(F#shwi zWmfyHGztt%)GQd@0YGH8~yw*44ZocS9qXkunq1Mt8dxMNzUy><*C13y4v{4s`Vd4hDalao&k5z8M<(Uo_Q{tCsyNF_L=JxIOyX zmyC>~MDBNc{N2fFw3wbUNUs())}9o5WI<0TTQLiI8V;NbI*ep+P=1h|t%3KRNz^{@lf5N@rn#}QDSf%Rqw`Gu>nID%N3U+f*s>7YchFx zJIX6ckGFwIP-@-G5Ld+UaYqFgRgxMy!+enMH#4JC7rO&~$gDXtGacS$bhy)Ayhvo6 zkg6;T!AG)1C?cOSzIW}bSEN;WE@HW)MoyQZVX4ni)dHg}8R(K@GFKpp7wy${dv^Ko zK<$xZ4$;@M7Tr8wda#0ic!Hbnoh5$LNpuw9y8QnA`>!)I$7ik{`GsrLRhuPTP+WXE zx}IBvbYjf9jta&fAltENRVB6s=?xQAqeL4f#CRy%%RLYl$kP+;t?cgVk`@voiQ#|q z%F^fGOHa_(e@J7y5BVFqDa~`tJn&5+p4-oUF@;vwrRoJ*RO|1Y40<EjM*Yh3* z6-b>p-X9!r&CzpTw zipTs&l;NUJ$v70Ij==H%%vTd+*Or=xa)R{lI`9YI?7J10BCl`YQ&8{Ys>u3!Hpxv_ zmm#6qL!03azAgpnxwuG=MO`#qQ*)rZ(T!TCPWvu{c~h4w&4oK!*A4Rtz;@LhbJb6k z%LH^hM^6;Uw`g9KysmMx^(@o>dHc`WPfpR>6ZdaUE0BIp&HQkve&}1s1L6BQeNyZ< zI9w{Z_wCq0n!qj0&Q?H4O02Bv`%4=sPMvE4S09`dGq1j*y*Y{$>Vnng)Y%9bvCUND`OVJ@%Cr>-WFl&HOx4 z+#F8#%$+KDs2BGvX2`8ABT`>ryhFR&coW+eTR!Y&_$_>%kHFj=KitMImHxeO zH9IgPcsFyNNL>==>&^Q&kS@(*Uk5*xapd^i|E?!2lJ0iG&K-5VJdYg?+fmR&;4VS} zyI(b{{_jphwKO2aWVL@GNe@GuHXR~0Kf6-ckm(BHdvt`k%bl4^N2KKk-SCPDdxpk4 zf}g&|;{F<0as9ri;7-k`YB$9&)|SM|$EW5psDApSh&LYgPljDl-+!|=>2w;QJ6b?7 z!q!eU#PaJUAM_ELN3pe^^t%13^j_}tnBxxLocN+EvmN)e0`DE#<`{BytsC^odXOW> z9iO^rxStAfrvd$luntlc|5WK5(F5IVSd^BO#9ltZN(`f)s^y_Rs3S@YtJlvhwxS^1 zzdvghzK|)*=KQ}uiY>T4Yp+yb<;%)Y!eWZoH;3Jmk4YyRoflfWvW8 za>}$_F^bGylq@)FRy=j2iknC+Id<2t?$EWnDiOC>@;zm7QJ{uMRq^{Me4U0zHq%=p zNpD?>VLN-c=JfQmGW$+FoY{YmnRS!HoaWh;y&+7*wm2k^eP4joK3GO-0u;}n$sxRynenwyZUKJGSkbFOpT%O@HO95wU}Eh zny3i9uteT1vZuWz9;Esld# zm9LM_+?vyl;0o?sw(xL5ox~BHQQT7pq%*w%N!1i!Ud#-0!DW4&cpyMjKo6T{+cpC} z1jR?q652@ePA}Wba1k0C13sl_gq%!BkWY$?)yifg9;S9x2Qp}d98qv~wjNg!+e4bh z?WLwu+B%|f+1ITkbsoE2Mq2^j`sw{xYPJ*_(t)8au|Nd?x>p-Rcz!Mo1>vOHton`) zyGy_jj-lZcO2=uHLra4MQ*3MeUUJct&z_`T3$6n!(Ljc?DzB-ow&Mxi{kJ)RwV>uN z%hD5t{8n$JaZ$IiVSlr**0U-;$Hfs)WA`QFFSx2}gvc}#%`1Yk1WcCZgsMD)jcykI z{jDi#EId2~-9J9qLxsc(Y&+@2?jxuFb4}si0}++1qz&VgUhOl+wPnV~Q z{ouXaZSHldoSZm0I$bq1dc9K7#`YBNmVy#B4ZxGXDeZ^{a*R>YHy^CJqld-g!Z zq`)7*qLEK>h2)l4i6~~gy%7p97G$4ImwJ%J{6Y-?mRw=EgQH^`Zn2mcdFgk%06A9F z^XCMx8pt1P`bIx*s8OK*h6c}$gx0-%*R+LGy0S;?s4e(^XC~krS3x> z3>}-23QAynN_ytE+yk;RiBICwpzlRJ)ef+T=>dOXuwT z{-c1>b_xn=#+jb_|CtA?Qqa$GC-yanfNpF{h4|5E>4exV# z{D3-pHnb6({6DX2YX18gT3WMx&JgwgwX9LJ0TV42I^M`#2D1&U)U?C7s>HDV&#=ew zPpDJ7llP3~&aKWNVKzws>c6-nr(mCEruy%C5_|7GWmEDz`@;x!X%8N3JZtUn^IdnX zn5Cm3h8-&=<+FOMH{>ym)6Vilp)`4hnV-j6m{m)Vh4V~adotZ7;$-mOwoT;H&%3;S zbT3{ge>hCd|CvjfLw}dOy~~`y`~oxc3$FuLac6%?OebBF=0-+M7M{RmB@d^ElS@6> zV(&zaYvV#SXKj>Irs_VGSDdv`3v6$_6k4`50BE&P%4j% zFl(uFnh!O8Uf@ciY*JHu{_vq_w8PG?(O4TM<1R**ukv#NS3K~^8iO30q@<~I6VDbd z|NMTBntn7_vm3_szhVN{N20rPb_VyPXyI#Z&p-|{ok%0Z9`XD8V}XV%N$tV6jtJtG z=1%zfNObF4-oL-vpv8-f;UPEKbE}t>+GI`BpT{lz6Ec^7zS>E>Wh7sH69Ii%zQA?K z0YfGrk>icb%(UmewzRz2?nvBULWgZ;t;%}Cq+XC1!BRTepe@W+a_gj6L1E#!zk!Uh zRt3!#{svpax{Ynh6sDyu7&e|lHb-x6&~_Q~6AaIOOiY028T@MWQtj?by614y-x(er26?}` zqXVe8k66XpR#)A>Z%bD8=5!tTz;JGSjR+i~55gx>%84s`iiM~R(2oRNJtce91Gu7M zf=eD2&Uty-j5=uR?r6sCo;7KVd@^=7tEzrsS^^x6{V6hl%b=orDVlfFf4=rLo%etl zK8T4quBXQ|FsiT@nSTSDZj(jPGF1~n=!oS)hRqS)WEcafM z%ADLQF0LEal@Z)I^8nY4nT{gUn`YOPptB5&=fA7`4i1%(_?;0prJ{0WriwqIJ}ayg zBkk=hEJVIkrkD5Z&Ti=lVnE{gZIY3DM-Ndkbx5FcP++VJh5cDO7k2(%l2@JWu6n;-q zngHhFvq!hNu$Qci%p;4MHRu5#YB!zXlXL7*nyHqyYM`FZ`zppN29gV~# ze&fgT6zJnL-7%Tnu4sgB)$b90PbO%<`g)UYPjDrsKxCjE50bEOXNvOjdVCuJ0nMecD?p^6TfzV0flJ(^6n#Iz;eLB2n$Bw#zf#+FS zn}UF-4)*AN&I~T)^XD4?#+e%$qR>69l8N4@oZJ!$0J?fiH1@xG`rVv^q!=UZhPGf+Ig_c7(ZLDH&(e^q%Bjuy0_mow&*1_|0aDiGeBhr1t3IN6phyN?P!miH4_V0Oei0QJh*GMLHo6ub!X z483X4HqMWPo*3q`RluEY z>F!}?f`CN&@Ex#({kI*YX3m2L-NKX9uyE!hwkdkK90znBMzeHw(l``vnS<2C67*lo z6$jrP=9}uTk|&Xi+zf63=G$^uq|6ZPtW&32ytcmGgYa8c7C$4#9nr#ddUrw&=^}Ag z{2?abWF?)sf++`4agr-5bcm_%3fQ{L?Rr$C0_Aoj`D7Ei3C=>quVT`fq%`p?_KQ=E z2wS)&2E=3S>0suu$P4|ebWuaIoAt(ajGWG0^t?SNl^J{;+gBcRvx3j$Z^8tdE-}e- z{koXJN??@nj}iHEm2XA-hRJRtJ3>=3m+@7 z_X0t;^@JhCs)r^d9nOE9GmpJlp~b2to&ZiKKy%X8Xclh<#nr_C-GIMZJt+&e#8W^< zH#9Y&o5!jS4VS*kpd(7}l#W+n!C%t8nstP5UtN~x%)&p9gY$$w zPQvZmiJbMd&Nin{aO3U%tD=MM1RPh5o*zPMK`8F4x5Kw#?7^WBVy5Ws-6K`B!*reR zocAo<-a#G2Cfg@@fo^HuoUJ4(!NRviTadb50%sGrL(pcNqL9m?=k?^cNAOLfhc}5j zqODj8doUnE8Tq~dV+yWG{=!M56H7A#j2RdRf4+U+2t~WC@xNDq<^IQITuccqd$CGZ~ zK6&cY`1JHeTk_kaEvBrj3<+Bq(){4wp)_S5mO6N~t|mNRzdlnLc9Xkdc5cO4)}L&1 zhQCM?{Y%%{2s8*1^C=y z^DnNFD0CoWm8+yDC9S?ynmMvR5QrTR+AkfyZld-wxlJnbq?qB+qv22CXfs3egvN$g z5>m=iik2Ate4xBkW?dTiHxMCq1w3z-Iz76UmP5EC*SAB$z0JF zWrJjgTc0CZWw2|l9IHtdzW2`L#EBPGHz>O*JsfroK-L2Q?QpOCnwnR4zzgJyp$x`o zsvr0iD`KO5$bZ;GrFo*Qy?xA_LWUoDwu?*gQ~Nf8V)x4YJh5h!tbWj7y4{@*^34R^ zm!1bLD6{7t-7AS53e61s{o_pMAzRx~K#PE0fI@2eqR4o%()K={^I2J0@cz69U_y_R zhXCsh*(6&c_IdV$2VW{ZS_cNsg(CJNi{^s7HBi?)j}D(DOVWGPvIh=^x3#hl{|>)NW2gq`B|0W( zmmpDz4!zHSbh6gZ`<2;a*Vt3SxBI&Ze*)&TVP*QzD8I3^4P?(1#CC^%Lko*&XS-YN zcI#*CoVNO~o)AduJ4&A1W%%VF8KG{YJ3LyeM9(;P^`QOr0ak^hZ#5p8QczMFo$>0x zmHit3+@YM$+@2sq3?*j z;&lQ@Z?)=Ioe@hHGcz@xMyy#N_5oKE z78LBeejqHS_h|Fl#M6w<%#ciW@F=CGX^Dwp{A}J*s2)2MSKy9S82vo3`ssx5k*cp_jZWV@>E>;HUcbCRBYX(cYj zi{eLhzb4QK{ibWLq9wSrSS71oV?Wy0|9v(_Mj`UXO8jO5!DIYz)%~dSan;&8G6E(v zi=lu8%ioz_D&2q{e=hTkc3DsQvSqbcNr z>HT-8*MZD?_H0JK`NXNZ8-$O^y=)(TbK4NF{J;uPM44iM&x{?7fw~zX@4h*YpU}=A5V$B#?>YJR zbk5Z=-PnGBY4d?W^XsW_qDO!3i{Yyzi=ut|nh)EA;H*k~vp)Pfc-WkRAmhQlrDo%@ zNLEgEsP%Y+vt0$>P`Mp}5cS`)^{#HzJMeo~PCIBQpI4(z3qI0&g*m)-S4`8&9>xb? z)0AQpHLfWMLhK}{>a`Y^QoQGsy|_y1k$mIMEn1J~3up<1)CBG3m$}6^U%KsD;}#O` z-2Y{(k0M>>A0~G8_~hh?w_c8b{ap;v7X5gWrqR@(HTZGLg~z$nr)onABW19LFX8U5$oCEI05SD(rmKg?MkZHS|VaK6NZYr^3;+d;;S zUT_N?fQd~IH%ANxp%QKLuH}M9kE&gUuI?@}041u%4^t1>n37+7H~PCpie@gn^*4Vu z&x6`92FpM^>PE)?I~RS@KZpKV3Iq%M4lG5xed)(vKf2QT5T1mDgf4pTJ9B1$ zeXnW7yrL&uRO)QJBKtS=gyX`kolp56HxOkjS2@Ji=o=WI_zVp8-zav@QH$-!`oZQC&Ek_VGR`*tr^6E|8q|1TXE_B8 zz_MTA31RQ;J@AbIYA59`pn%B@{=(bxg2sr>ls?xo=zl8!PG(=ZPR#t?Tbdu5;{Zf6 zlrcUnNdN~?ST+4vNmyFC%TA`37f3!Ax~Ga>)2T1c7OOx_>;1U%LeS7fv0WAlZvz0qJew<~ zicZHvKp_!~Jii{O2w|Cec-%<7&>L&+6YqBk3O490mROdU003|8_kDEq0}N)XtRoLu zpF8(p%F@n`L~7_K5h&ljeOsnd{iCo7jjaiDL!h;X>O;5B7|%pfOCsoPx`@F1eAb8j@qK|85{-3rbUYU5Jqd)2N}1O;L-eY0 zov$%w+8ny8L4xeVdHT^>=PhVg!G9M&2-7Fnpi_WK3qMZJGyVXajqXkQ-Me41k8N9K z+eN)8L~juc?7pWL-1_S2D6bjiM@2@uYaG>yvnV1pUY50<1_cG7IlGIq7a>hfuIxa5 z+_guK_7oVMo{{8JFaoa*JV4_RJx}A>K_UmiMV)PCqC4jPVj$*(o_nMC+N*>K1iKx- z?Gm1rM68A1*SndzPr)sgE>sWGNMuI0gh}!Pq+vZM2G|h96UT@>2yxHRb-@?1Id_is zs)SWT7&2gBRjV>lNu72$+M)N~+rQNDlN35DcZ}@-BZWpSeyxcK$K{}+T;wH*>LnvT ze)Q!T?l!i_1Ra|4+JPHBopv%vpy^L?5ndg?)%e&TS$%b_GlU*J;OgC*2tgrTcXbcx z9Uwbsmh(#b{e!(}-^^pjZdppK0v86pZus|-W?m&w2~IoLd_Xt1vPlK!0oDD=RQUiX zB^sL8(SLve{cMn9TF@jV`hcjR;kuXCpm1L&N;S|r6w?@3ADRxCDnIzYD*Fz2EZg_} zr;U)+plqRx%1ZWlWMx!B$|x#Z!!Dx;DIuhY?2?hnC@Uo)*(+Pi-lL)9f86x0@9+JM z|MPi2@2BEpI7A9_Mi~QC+^;`TP0u-`P2sTb5&ky=?3nG$5l zyU0lg>iepRSf(QA(yQX^BkeVDVwpLvQp}#me?f~r;65T)C~7#Jz3q1(m0&i*l4z1m zJ!aQ;%>6?B+PXWDg(alkGP}TmMNCkUF3H!`Y~}9VW*ST?gVwqR=v9N59tPc}+h)*q zk+QxA<#*~xU&$sX={NROi&@f*N0CV07qQ_acKV*(=cjxh^*s7|FhRyG*I!eL-z0ZI zlHRz`HT2Ml1x-5Np}d((t55CRWZk`L3rh&$@^|#ZNh26O_O|>wgnbIA+^Dd%8i3 zy(cd2340Scx$-i!8?1A#+4HPph|%Vok6F&0c}nS`IUMkt*?s)?ucF|H)FgQnTNs_C zS8eu?E?DTc`^+d)s;eiq78TAtDe&q-Mh_{W9iI`Ok~WSG=rMg}3{_}9*mT`xPpqcj zi%+n3?nS=*@&&dFbpqeZbO^f1JUB_MjdSFoX}^*6mfm*F}rl=EqXpyj39hLF&iW}zv*gp=Wssw>t9J{jrOe#5RnwTwhkrDFI|7aJrN7$Cx*Ash3_ zIMn~f`~H{cVdiQFvk|4qJMzOQLZcq>Xw-2x@)Dchu>~TY)YX-~%h$kb!Hw;_c!_sF zlVzUYLqIFeNLPFHEbmYL<)pfm92?#+i~O|w1~f=>KNHas36i!$fk>OBSf)`92H==L z-A<363EBCbBX7vOOy~akf^7&`Pm0{eM4Oiggk65zc`d6w{Fcao8k4CtY*aS7Zd^qo zjp=$&oQU|Cm8@7Xakdb=JaoJf;&cfK$05%ST>=d8IfbwS>H;X+;sxnmpcQCQP*i+@ zcuqtFV|pJXokK|va?b0%Hi5fvW`QH+&*M#G1QtrWE+Z_1R|KBo7-%K z1qDADukwx-Od0e__R?g$pXq3^hUOLWg*eK`#-Vx9b7zHKovS>zH5>#;dkncjWk(*` z&9FBM6A&_6ia~}3UF2HY+I?qVT;-sky8Lo%ji;poOk!Gdw=>lsCA3jk zWgMRXH%qMN_wdMt44|as(@bvYJ}D@WT4o-FMMNYwTMy6EAZ#r!FE`D1#6Y9HFu1C! zyKUWqV!|mem+6kM4Y3&h!39vet!qfVO6$dDu>~!6}g+4Zz_-vwagCEn{WFCPYcbSko{<;kCmr#%j z4`=GW{7xB%B8Z=HJ1=iaT$}=v3Kxv~1%q_hG(^#e7q>@flz-ew#%1sqhR>mQk`uGt|1jCJ)6Y7)tMNclYQ2y(ch)h4CpCbGXSl07oIf1u%1p0+xy z(zj~zmIzDG_K3ibrjx9cw6xBr-$$QfAR-THP1|?SII?+Xd-lFIQyJ=S=Coy)$|k&R z+lwt!pWY~$)Ye5U)E#Un-Ie|Rp!-Yzw}Rbi*su?azOY<1SWWU?9l4h|m$S*j=yk!C z;6}2Sawd2OMs`RF%UM<;(8b%4h{wO z`>wu-r+Bm$W)FvhMI>G!b9;pYlikm#y=v=B<02N4`HE5l9S*@~a54-Yr8eeH;G&Y= zTUl5&DY;4M48k133xjJM^x3Fz@0*Ctc^5@b<6o9c9*1T!lVo@yBB>3l)H5=AQ$V!`n*GQf3e!SF73oet+H??3yihYlbUzdL z*2KM^eDW+SE5v0zi6-@yn2+TT?K$rE=cR;xtCP2b9YE_DlC; zxU?^hQ!VXHi`Q!Lc%$dgHrWedCZ=T3MeHHAQo^@g%R|W5M)lVkKiy7_Mf(U-vY56q ziNq71QlT!VlDz*l=a4p;iXpNg{MpQg@dRvN<*jvY+crG7B^Ge`u@5KH?%&oPsVaZ+ zlvnXFD4Mj42khfd`Tc+;&TgBNoBJ;5#KX1Y@lSTyt4Hitki5-v%XACwv$rbAXfv`Z zp`uI7D*^7m#pbt*%1Aw-WF^Lec7qP(-9H_J{`P@;>ss%n3ekTL`7X+`Am;J5fD2E; zk%$g2Vj@*{o;>+F@`zUjD;ZWQ#_O8xVv=68PmrjY5+>))5SGZ>D5K9fAlmi(c|Jt< zr%vIN?^RVTIClF0a@2!I?EAD2@G@;se#Cu3>DVr&3WZ%(0Tsd9abkk&Tnej}k-Ybo zEL`fTuy`AjNQrXvKdg7QN|Y}K}c}}5CCNH(8wH?mYS8Q?gN}cnh4jN zeY(|pbv+|_#zBL7qo1w__gxj{AfSqd(;@r#p;Vh|cO=J%m5He-(^z^B4STc^Z}<=R z*==7f2#6G24BQY!!+<3;upgUuW-B|x8~*U21EG?Ko^MF?p_qV-)}>`NLZ%Xv*LOEt z{j{EtG^8w}A-?0zKIEtThkxC8j&1OaT_pb2*(1E+h{YTo#fDub74oWmq1ok9x;_+d zC*865`K;c*BKm%y`L@^<0`X6wJ@qu|%C;Eod-ayCI7nCk;Hy`!-o2rqrM=ns ziT<|kzGr-l54N4V1EL}c;Ss(%^!3BlwU??UpJEOu5S(p^_4f~??({#dO6QA+c;~BN|9tO`vWf^{-*V;gk5? z#v3za3$EGmfXiH5)bWx^zaz)1j)vz-b6hn(FZ>j!OZuf0x@bo69#X@vYnR(q=AUl( zux+RB2aL@Fl0TKHRD)z)MP=3a_D}ohR$eVbAh@Rr3VHJz5K!Dq_zcxa%>0;RmG$Qj z1lmX#!zXP=4Gk+0Fya+ES1)Y!kt2C378l)RHl0o*{ z>H1Q(>{EuivEi##H)ao?Q|8q>xMWLL#r8cUAAKpQ!sdW?#&QQvB~omo^CFPVu*xJ| z{t&I2>x-Fv1@EcF-IB$-{>13X|88@{atI2J;LyrXWL_NpflfZxmDKT1=~pgO=1=(} z@&05SU^_TF=j}~OA2jC^5LlbXVF8pBwt{sVBNYa|uk697H3YB29{J7IvS&V!ff9LK zxG?mU3RHuwTa&wqJy@~&pKgITG8Ri=^u_*wD_5Ast@Vm@7CwdPbQ8liyWMSS?(Cs4 zT#u*2=nJQSngE>Z;_iC7A(%)5@IXR>pt;F~sG@K!wx{Jxc;Q;h{C&I!L6^ZozO@v? zEEr;KS1M*13SuKXDJ+!f-db^+*cfU778SM+th&wlzbN^2Jv;H0W@{op z{@0&AVDE38An;whMzBNwI8;k+aUUn+15Xrb!1El9_pvz}x@a{>&Nv{L*7L!dmq=3f zCca-npqG-A`|dU<868OF;c{>oN2NNSmhi@YGZ~wDLh#&<`tSSG*_Sd!{PCWvOQ=57 zi-GFrxx}#Zgix+}yz9cZ2^e9Fxjgv$p=U7!{+Ig?7eL_@yks9rCTwvF9fh4_?_ z-m^0Q9>OgC^xqyVk<(qYH59xFbP=KiS6w*qt3hno7nV6jN2_0jYu^KUNf?x+_5L#; zkwYjBsf2~1uiYPw5uYg}{@WuZcEPI05S<{C_a=t^{&4;Oaew@;H<)ddp%hQlGf>j` z%g+46^#1!MBJPzi>E5h=v)g}evA=$b^2=Vjm6w(1q5D!m*Cw)w8iWl{d|fynC$|ox z%Qh<|IA#%gyDBiXDO4mrYty1#xElWe*gZ~i4}d;Ug~y;9AzhrXM?fGgJ^fk$XqTOb z%o?3Q*+N>=n)4L{Kgr=}vj^ywe;tdDVv?XW43dtndbn}VIhBMX;a zUfMIb1;PsaUWNw(!or^5)#yJo5vq;|P)n>Y{L*fNxk#zQt^0N4zJEfGod!99KmTDJ z?>3a@K*Y*3?kIp#Hk8dIC3^v;+}gC9RME`Lb>Xxv9dU4HxnZG+XYseMv4vtGWLhBV=u<*CQ96$-gcn$7|pedmEO608ODCMH0TAiYRY#o?d*gE#=XYxKYq0SQ1PQ?J}`bxmI~YM);?aW&Yw_i;o49kMLKl$W$F3H zz?8j>e@Cw}36?b+zqv%TriR8&e+CsoUb0~&=xS-WLuf=|R+2T;U)yZuFxCgnOu6rS2V1i1Fu6crvln2x^y&kzbux`)I~D0us^2^8sw$Y-@r zJQR0`{HJvoZkNa^U?KuMPc2r?F5kg4hQhR72lxPVNbw{fZbmn^13JgB&d@O!hu~Ws zLN%^A)Cv~9*LqC}Gh!PWhHg;ctR!E8rH5#Uf#|N}#zD|2VRxzjVIL|nv~#=N1>hIZ z9>|jINl>|psYTo5Lu;$UolG!9TD++&VWkj>;RD5aF; zxbA!Z+Af`dI+x5cPs8$G;Gcrs)oO2W`t$^v>XgWY!X8k|E>kqwlb$LbIMC3jBOmnR zhWdXSiX0Vu9WF5GfBHxQe_wyq$o0I~vfmEolKi08r+oV;XFToe%%Xk)XtY?kBkfX? z5kZ{6r>y_ug^?QvVWPcr~H;2d>AW9c6yCtjf`=l&lVj+}UL;ZBI>`NPJSYUpLAsjlN?w{TiR_O@CfJS&8K0f)W3T~AD z&YrsbuipbyhJyaE;7xF8=D~iyOAJrwTHOza8vAfVb9IS;Ae<6Ra&#-UY}GuALX3vm+r zOf0c?DpW$bUY?L*z(wk(8-_+lYmy1UbI?AwEQH(%4;KS(3earP(wy-D86EmYx;1Qd=inyMEA- z#`K`wpZTb}YTEl=?PH;|L{`6)tG#hUu8r4I-!1qA3mw!|{%^?t@A$3X3Q8>c(Xp{L z1$4wUvu<|w{@4tnx^dYs zkEmL;;}Qoy6ICZiFssjtxMphy>C3+Ejl;7TS8v!@u8olg_KFpNM+y9V2{R|YN8&7- zk~$C`gm8GdZd_#J{Fg9^_|1~*KmB#t)()%wfgyr{g8YRDsP;Gjog+g6zU22lS@Npy z&&s4++ncD7j35h++m`YYcrbp+QX|j~I|fXcKM-1@WxWX+VB$!4nK$Pc1~YMUU#WC_N#T&zo+^C2?G-s--c6e;`TWL z<@HJ7SKMY>o7hqO`hps&MhBwE_pD1m#UJMbP>$l?BuPeFOWbtBi2OB`U>A4{c`{_ijceE$^k@)^W}#0-+m z6%e1jVu^9`2%()=8=-IqMuSLdZK*5Fbg&Ce&>_fc#Jcs}{+@%XT`kZGpG%hzNo(;o zB4EJi=&mnd6@iIjFzsf$yU7{EBaLJRm3rl&(4H@qVSGDG3J3PgRyY*I#c_Zt0P%kO zq%9X+=71`kopb%0xSx-jdd<(mcLLV5cYO#tg%}Q-q~xuysw++t#USK%zo1b%DGZ)n z$zkX!Rbq2|Y0gMW@(sY;jQ72_KxW4jhUV&s1%!4N#-8@w2x7J*DIoyk77_|l_i*|+MM?Ef7@>6K-?C{-DqIL!4PF)m?p3ZV z@J>Nr&7Uw@qK}o>Q|-TjXdjI)-MNx*>+W694EKmeSA+dom`3av(mEnECr(ib@smx| z=%ghQ;UW`=jn&|vFy7_mt>75ACm3J?qysYrh6p7U;@xayzsQfzik(YjBTJA=uQBkw z1O6z~ZDFpU<)41tMjHwp`y6ux`0 z41o~Jxj2Fa9U9iw#28vaMEBIGX%t^@XbE@rGo-Qxs+v&T4Nzz2-X1}87^LZEe83{2 z4vet6LpDqs~(M-3W8$9 zt$<%daD{4hZfP9^+Q>n{_T!F}bU!(@4l69?KC^r6{P#b& z00T%IgIL4^T{v@K)ezoca2*TrYj~VNdqvG(Q+Ho(sw|bC%|NdpGP&47&q74yNOy+o z;#Z6-S^KY3X%??H&C<+!tEr>YPr!eRFNLr=6v2Q0h19FPX%TK){QJ58-#>R3uI)Ad zBVc+&w5g-gb$wMu?DOaHQg4~0-bSJJHZ=v>u`Mbdt5&WgK<^2m<)3&k-mARa-(|hi z)X#-3nL?#?JA!43l~BT1x4_pt?KL$uq2s~!YrPtqX}o`A|4Hmlx7Io`y4<%hQR)0L zX?%A`PY-kbP=f8gT%nJRefKUq0m`tRq#^!W-8M0?<78U1(V;`1hli^QLZsYWS5$r! znE8oJyj!7mp|YxUbAW?L=JZdhuGPx?e>@H|S`d$aze=|F>5hE?t|2%5Ry4yX2lXd3 zSdO=3bbuBFqM&PQvmt!2pTEBVQy}8b4z_E3(v`;_UBIYCh(g+9RF;{UnSz4C(W9M= zIx^6raxS;wt3Sp^c?rVJmyrJUXzpm&P)N|#4Q8Q=^(m^HGG(MC2Q*S$(YgBWAoRNC2jbd7)f z_nLyUpEb}YG&Fa87xD^RWYnqn(i#vL51u}KI%AZEifXQ0{@1Y_Bb(UEw5>;A=%EAB zl!n}{$(_0#W5wAoWMz)8lRyt`mh@UyqJ&A>&lF1eSq_4dQ2+q4yCA@XV;Q|K1&J>P z&Ibh`e)B|<4vno$aS0K?Cxy_#LBOv<#>_!rUunZ?Vm<2U_&`rAXtOAm?|2A1gc!Ev z_#;d|a70egu#14Y^BnGWZCb_Z+<+gWU&=-z`pN*Br^hg2m=Gw#+$qRqfRLnCE_nFy zr*W@^g03qAr{@hbT8@?a%}?9r3SxCWlhb^v5{f4?V|nmUF>s$6uHYh>G@TB;FRG_wkcCjqVn-St7S4Xz$Je#jT?Sea*Y!jA9MF$MLD$`1(U&BN8@qIdNW zu#e1a&Ex|Z?WQMB&zcFrnvMDkd=Fb9ba9!O+n01?E!edU-=8d9T8J6NXI==EUz*wT z18pOZI4B^;l+c<2fuTlMpDZXsDIXF&4a=ZO-0TuxI{O4ebp{0_KuE?%jXHHB zxJ|Zyiw^ofFNfn+Co3R7Ko;C~82|pl-a$d31a%Z)yAE2P{1Ge`)U-XVg9-MDc)8VWj5QSBgpb0H6rh7RcrkJLyZB)-))18@q+%ggIBxvW(G&{Q4+fqT62 zWP@p2bug|B5WLU^P0-@*x(}tIMs$8$O<(_J_WNEV8R>zY#M-^X1EPh+kFpyMlx~0$l`srqss1+@t9earu z6#zzjM~*SHPdFj;o&f+1Ceqp{*9^3XqErVv(>lG%kl%In6QgBNrQ8_@3SVKbtt?(Gd0cB3zCqaLERJo?Cs(bgg zxO*$b*IDNfM-+Ml2u;ak-_2=Zd&GL&@HCzn)9R-|o(6=<&;T(OEx49sm@iC=(?bn% zbI@zh0v{fJ(g$Nj7PD$d8q)k(_g*>&P6*!cY5?eivqs~W4OrXHt0ocQrvq`n=g!#? z5fWYt{qhUUau*0Sg0vo4#wFXb`RMh2S}3c8NFb3KmU{i=QHS$RF$%Hg@tuWk=g{wf zo(l2|05OQHsMRKxW(ELc3=G7by3Y;X`#Rczy6Knh^Wz>+lx+@H^dGOlg0gx2JhPvP z(0c_>wEK%|_Sfrb%J-2Gz)Hqwe?=3P4s>4tw1D&1u&f81V3>tu2POu`O~mH11&`Ms zP1{zbFH}!=2qRd#9u-9`_FNJ5gNN8IXc*;9KsZ2*56?9oIK2YXn(%tGRaw36SpV(n zKD1y_U7}mRKF7XGYOuxidVEohfRIqcn6UyG?!Oql;)n@0ARUB}K`@eG_=s!g&X52I zD@P)M)R))9{#?vfkgE9b2R8Wm++W+V3wC7eerlz{v~hS0l>EPp>?r=GaGVS96u)}KiXw5;{-x>6lc}|&?x{h80d3- zOxdk&2>Bom#+QH-)R7#$E#eI^N+-bN!lVk9I}rF3?U?N}%NBhRDeDE@8&-sd*#wBy zx+~Wheq`y|hN~?^kS&iB-SyGcWN_|?%?7@u{_``N<4ZG{p*d%F9+4fh z(S)LHIQDr=Hq0uNOW4U`cpEtGwUtlmOn~LJ1Ge8I+54DoK$5I!db!M0ni_OY-Heo#rpE*L z19ue7+z`76?%@w0NA~Ca&pWjszKsm{`-8H$0to`zA=GbP#4`;kqD( zuz`0=ZbI)4x_BhO^2oi1XFS}VGmJa{&GAks-@pzx%amZGFlKrNfM;v>tbHI$6nH_> z+YzIA6l)raSTQHO@$m^wt|62^ve&{*0r-G=fEpPU1zd^vIy#kIqM`@e_bzRR4O~yl z06Zr9d7(VuTp+kX6BuMt5q|mT8=FF;Zl0-52v3|?efp$R@hEwD{Q|H+!2G895=ym= zpmWs}i2B>(mKEJz3m${sK-Ld=v9UVW!__5k7=8CBvCkyCRXx|L9`)J`eVghP(Cy%0 ztpjW{1VcqUB@P@DE$nU%V-H3)Hcw1g>X^p92-@8pBIiYnGuaW0Gqmd%H^9+|ed_Hg`yU1qi`H?5Jglc{f4vq3GWBsv>d)SoXi?koyzn^7n zfl2MzQ&VRezAsqX1G#g0EN> zpF`_7k2nN`9+i)xfS5V=442*Q@zuCP-WbLZ{_`8q2Eu_8_Jj~L?za&ZRrEK0?@F;X zp-B4&S~F}-?_=9}K}Gvy%^l=TI+*HL|K%q@XPejnTAv?#e!Y*+hoLp&G|^hT)Q#~M zGnLmF`>qyApj#+hE1AU`_yOO7LwWR^0m?Ci&_KqK-Cqrw-_fwixT5q+4v&tusj5q* ztakCsxLqT;G%IG5Q)+}~KND(;3%HDyxgyv?uzb!z@<80Y3NEh@H5kpCf}9CNU>ubb z{6)$EJ2i|?=jPa{Q{_E9Ug+w_-#|xnE~q-~u2rL70D4*2-3Q`_3J~ys>552v zd)J{bG_1`c6#OwWSQ@XZb9r?>1&t#;%Yf7jR)9mG^R=l~GtO-+o)!G~-1qMUO?tH5 z3Eu(F*lTQH{`r#zKV{VTtx@fv#apO0Kmg+iD~fsI)GT8B!ooG><*Gx?I1<=yz2C@= zPd)7m7&I<@k%E+x1wII_+oAbE1e`Kz4yY)@1fGLvXgT(JuXb*a8MvaY?%r*-I8_Ig zlrA~m0)=gO)?T9Of>i>cqs9EoSQjMFY9Sw;ruP7a6r={vu~rzV`JxI~Zo1*4 z1mIopY13c7>L5rMi1(Mn;8skR==EAzT&IBRAa2K>4Qo&+TKI4ca8wj!&GM?J?vKG< zG`xVEfO7$21>iXb!}lzc4}5>U*`cZMF3J{2UeX1u9w7t(AVD+jZ$Y`Zj<`vufq0yx zy`a?)A9wbn#Z7-QQyGS-1B)PLtOG!ch|Mz;BpwsQ8_4AD?rua}!-#a<+`gloZymdw zAnP=yd!aVv-)t%*EnNVD1{?yJiIuerHU;|!(kci((QX$OfO67p^wfX+*jVD#xB5SK z)Rr}7#AT2KJL?^?RQ40;SkgyG;P37T1C*6rRDl5H0sC_lJS!^Htj3Xu+14J((C-k+ zR}EspG*#OIR6Xp*AER|Fav{L>KX-uNV#ds|+hwk_6cd?}KDvx`Zj;3!TKn`q6t9}1ZLnKuh?XnoEk?uepMr|` zU~&<9^}I&=Z`)-z{qreCiub0}}Y>nc^D< zS)P(>{r+Jw;--;?67P)4M(}u8a03^j;m2JD9nP|4K=+Y+jD1_5v;xg@8p$w2PgKr} z(f`LquUi5@EE}+^`0NNFzFfY<#KdHp#oiGnK2vO2_*qTBTDzjFflP?6%QDJ15S|_x zX;A&DZ7`0x^G?nUsoq6+k;q}qJAdRkh6ZQGtb$Lrf2t@z^!nWg&Bt5qwe!?k)eMEcL%i3BUKsh6A=P;iHQfa48>tjX@q9Ej6 z%xr99{r#;lo#@+7Ka!Vuvc&(?lArv;hlS7|y}pJ-^V)e2!lJIP)3x&F-Q1w|01iO@ z^&YrtY%yEuSQKB0vqSQ}u#NDKB0MxVpgCt?>hZZZ3mv|6`!TZ@a_XIWhs`m0JP4%v z9me@HNPHH%DDcM9lrYG36DWZj<=JbIp_!#(T#oXALwoj>08AYj9336~whEPpe|Mb4 zEk0loVn9h!;Wz!vxs8>aW9Y< zFq;|a1OD#yr41WYcKE65;)5W?x|*(|AWa>s@|6OE2zacpUH_*~P3{v2?}S*hu(JvF zMu)g4!9iJc(|J4oaMS$xaQ|d6jPC(W2qIuyRJ632p3?yclt8Cd593u|$IZoM>yilV z_--_g%^IY|Qi@|ijRfEhwK4|1XZe2tPuQ9OoqwcJ<(RtVT$r&vtPyVgeAU}r6TQt)IEod!}#h(cx!ML^G#kIe?+}mVg#$sN06Nn-x16;Y$U{y z++1nRD0TdVOjT;jIgD2V(=wsi8Zm$^U>Dv-;yypeVVNC44M8jYdtXXMG@5czyhONc zdVW-#3r(T!kbWf6j*T#>vq-_Ike!bBT5~gsM?shdR6Kln zqY1^@wcH5=Hs7*w>GFEl!s(ioNtoTpEKJjO=arC<5EswMY((xaY}|{PZlAy)X_AS< z{)L1QM*_F%btu|5%fvxN&$(8Oem}Vh>j7z>f+FmKND0_#o8l<_G>`X}H(JZ}VACO_ z3JG|7@`+>oQ6DCGoY5#9{X>V;H>2L4(~+#V9V!PZ`^7d126LlfD+Z)x7i)*85p=Ss2|jP0m<|1k(gMQGKC=J;7m=hwK~<2@3x>I3l=3JOl(Cgb03cuuI>%#h8LrvWm!N zlu^7vCP$tDVDm0Ed@K@&r4hOR6y>llogf!tds2g2F*DY69`=q9 zH^j6tCMp%&nd9?k#3mI#6}ocOD)r3>;&PM4n?L8Sd0MkU%7h>=Bn6=t&Z@NR1FPfS zc-?EnT(62yWUxIr(TibM&yLR^emD&g7#T_ym}@cetwCw&yT6vwQIX!U;M`(x252rY zHJ$L+V3WWk+}P5+QRny(H&B}*ZrpfTSl98)b@I4zfoVa>s z&W}A)ZO=;fXw8Nw18yq6pCy~<-_N}IOYX;rs8u4CsbO{E2SVqXSi8edQry{|LB^#a zxeE1^apX>V?tLW}S7;Y=EZ&)ShZzz@TL6Th;4s#MMhlidj+8bTL5$M{AvSsd0fzaT zyC5S8##Qx-8Ta`BdTyYaWq_(`XbkQm#KWOZ@0*4<17N_Nu+ZAwrK+-j_6+GchaiVF zh44_q4UQN|wVOAhF0nmfSVgTaR3FYAUb3HCOP~9KV(@B1Ce{X-;^d1b-FSAr4bM)O zIl=V((yj0~3QDRs!^;b#YuUfL^^KGkXCbMRUeQx)T3XZD)^lOq&hz6nos%;&Nvaxx z`aiKSs8<2m)6mq+X?8PZy_R%GootfF@DlRULbZ~5BglBIj=3FoX zLsU{)&Y6^&Y6S=bAa0ZmECwr5v9Fk;Dsr_c;{<58h=wor9Z~~W2h^C$*yPE{AZWU) zTwO;+m9Q3{m*OJ+*yzZS-L~%(BGHI%*>GkVDWD3t?Z~fF=xlr~M!9xvVuw6H8ja+J zhV@iimWwei{>LtYKV)x3?=v4_z!~-`G^&f6I#^nUsPT+EkAWzvFb#MSdksJ*R-2w} zX=%YeuRDa1M4$}dY=bKa0C0pBE#;Z|Y2ruft3vUEYype$dsl;knoTqvHu3mwk#@f3 z5vrZ2O>rB*x$(r;ufbQZ0@QK^bo9;#8hje3PTl)nrV}f3o9@Hs&&i_i;TsyyZ>HoF zxh;qp1u*w$Q8ayQK`G6bk5)@f&8szin6|fCdb$gn$;QTp#^J)xZ)fr!#l&D}y5Sa0{0(3gantd>Kz;qunEQzd70jJ4-`9KhC0_S1Xc&X^y{au*@j#uI$P>apXvJaPYdWvzRS-VZH9bgNbg| zjZM$J7SL~F?tFIS-LCdmb1`c|SG%HswQR-e0h@@>(E875tX1?@-XpuMR~w$9({Nly zbsGO?K7cds@pH1=DVGI%*V9wZ^s`e{-?Ax&%QUszcaFhOxtg2NZQrpYc>bX~B3@w| z8fv9o)M!xGxg$CGM&KdX<1Z^K)wf4zM~Q6%09jag^c3??S|y}4m7mW(J8EKT`cOX& z*c%HAi05wxnEf@fgw9ql{`t|DwVL|T!s&2l+d#f)H z{gMf7md%^dk7WDKjn3Fxe&Oen#6)gmls_wQH14IO6r&jk3?ADwWU#@JR6(5iBxXN! z9YPqrx!LKCCm}JGTw#Ajpk!pkc18UDk%KpKo}bR4J9DC9=f1;-Z%0ROHXa@uV_Uy| z7AYKV4#xaW*CB|i>{!oI>PI}t>RRqjGd#%N=a9a%vl~TK2|(GYVaPniZN`WL8JRnt z-vF#Ss;c^bk$?ph78Z7lh8vukZ9&wQ@PnF~8UbR;Np&RHNjlvF9eLwO5*;PR2L`~Q zVVC!m>G=Lgy@ehhYmH5 z{&@WL#6aOm9yH}-Cf7c$3kMoUM^|D}V?JHu6R_NZU0m9IWrwFmT;LitFquw%{ zODYcF$92CePeOZx^N$TJoS7t=#9IF|=gvKuLfw`S1PUo0fY@S7OG+0(G;{O;)xv&l z?^UhkVtiEbF{+X!zc2IF_QA-XP>7b2=D}7=DQJk5vOo+)-niMB?G-~W4D!I$@xtlrHC@Qb8fl2q zggNb<9mgp{>Tez1vwL@BRlJd3z;dzPa(1umyga@I`DCBwfUU~T7S^bzOSzoKq^$fG zfV!_q+IJhuE1XN9>vemj_eE;mqB~Xi26a0hA0J9iAt52?HjNBps|)C-$5o+@!@TRb zZ?Wthc`rE;ktw*_y~XBW{|>bF1qB6BT~<2plbAlu?#v9&PE)4Pw%Su!0^X)8;$NKz^3LgAN(fpXsB zh@qjH>D!8mxQEwRrS*S|3H5pPm|RZEug$ zAZGjnWy{Uowa`@?xS2b@`bgoj$0)c17Pd;m*5N)fsUo;c_(<-xViN;{uZXc$uUT^* z+8)x<=zb>{DX_#_f_rR_Q|hv_q(h;-xsSV%H;|f7D~fDdc;Wlw;;zSG1wBRQTkmuC zUx`@pX&14l_gzw4q$APgA+B%Kc@MZPBO?PF7yvQGH*|C?;FwEA*VU{5;G-YIO6>tu zZ*ax6k4v%hP&{Z5U~rWKGb0$&ChP)C8wjwAap*3e3| zhH?K&NxOD2r2sM)Gv-a#Z{5B<@FAbqZ4IVnLyn){tas<`22~0%($$AR=%5VVi?NWP=h z*|SqvAOO;3#cT`=$8*+%Suv=1OI6?56Gn&GiVh7F*SAv0mx2u%FfZQ7JbuKXsBG-T zx3!$#kN@Yzk;joyC%1A-N=nx0d_puNdfJ7$!|fYZP_nQK;5#S)S}{dCkf)=l!}5et z(TR<`(JWGtpPl_K5{lsqFY}!!WJ>z_PCENQSf@IaH$nrv2U<)u&X0Z$~1+Hu6~#%00N1l51Oo6TJ)U{oj*@(m6(w`L(cXNnpsBPGJ84iPX~k& zjvO!97tjb4JFf`Z+-ixF((5qjGo^Sx#xP*8rX4}~21|gb?suXF>gbpq7RKn|fx;?R zK5H<8fj2xjayT3TsC~4cs9==_d4}q-I}wz7O4{3vo*fmAtip`o`{(W=4v(Y3{D1?g zVmUk}6nhlx(Bl9NK@RlR`EEM*F%~ykik8mYTvR3CTtH-WCJdZ`v$M0v?Q5Au(7UW$ zQ@bW@RfPeQl63H<6$ni6s$&$}y*qfzo*SN9#=lVZWKZ{^Ny~ct(X(f_J@y_rdGciB z`P109ZT9L$Mp5sLDKn-y@=1r`i+1e_&BbhE@l-apE4yKJF&q-qK07qcsf1~KxcYQC zh9AU54@S3?^I}87?8L;xTtT~QB)~=OyK*tVT(N11-*j4@A2oxlFKQmC5;D8sdS)?XJ7yQmO`rleiY#x`t;j zkTVbNeh0&gdfG`nzUBIBv(PC3op0pDbIu4+_T8ldVbavV;FR^DT(0{)3h18AuWN6& z#$S)8kyZwQ)V>68%3 z0{k<>`(JV@=&!r_QjIoOn7BHUf*2&G29|f2x4xFMPtVV9XA!?bl}Cco3ovdZx}8l; zuWFb(FB@f~ti>f4MhM7sE(i5QcY6eOO14)Tu!nBPT3kp3$n*NY#r= zmYHP!D6DMk-6Nl4n?`9s*M11G2f}_HJJr8xLmp|6gNc)en_Icx9_YKdJL6$BHHw%m z5AJ=~(2IC~@FkE8r`$PU9|IhEU}4s>m5DCs5Y=&_aQG0A`_AiE3#r^Gq03%=k2E9@-il10rg!9!oK*G^SmXzm%xmaHc zpUJ!}7b=0&j8rxOBLd?Sh|tKTT#WVsU?s{E%^Xr|jtg`yM>xP+7opTj!(dSAWud~IXys`0gH^BxAv~Q z&hE9;)aXD@v(sG9Yrl+^S%e3zCA2#;AhCrc6wEmGUB}6o3jr7&Y0bb%w7VzP3J$+` zx(ZhVWij<1Mabe&*aML%veJU6OQKSQVGCV?OFell^87X;(>k|~-Fo>_Nl6Xi3(!)_ z=7v>1=lt+aBz-7Y&Vi=wg@g+xR7a;4^_feTmb)wJVtkJ@Tl>QU$@&gFOo(e#j?5OeL{r2z??oTh9WNn2`;5)7=ft+~g-u!j8yZpg#+{ zasjwEEQwUKq_p&@6DJ_;XFofk(z{HAx>Vaq?AXhd_6~Md%WJbxN$eT<2KGD7S!dw; z(B|czwo)yNRn5OF5WjdC`$SP0A{Z8E3@2ny)YU6ti%^|MPzrS>^W(>Pbz*I6lnc(U zpk3D9)@Fy%&Y(IVmleiG?%44hOl6c9fW3k#)<%#hO3wATv)Mnth;lLJS2}BJ*8ogL zQScoJN`#>yAsk_q>0TVUFTd;DGFh$SK3U`{XwQre(Jw%}u(qJufPdyO(R*tIHHtjP U+eYm>YKY%eSJ5VCDw$pSfAUjWod5s; diff --git a/vignettes/RMSSSplot.png b/vignettes/RMSSSplot.png deleted file mode 100644 index d43554801d0098524d90c49aab88081c84815caa..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 82409 zcmeFZcRbdA|2D2AB_XR6QrRonBO-ewR3al}WtFV5Dl!vgg^Y}3MMkn)qCpuELPYl7 zr*$7^*XMIz-~0Yv_vhdH@%ugQ^YOSI7k!-P`F_7%&v87D<9NM;PM=by*vYt)goK1b zRYgIEgk;+~3CU(#vd#DxnHahR{NIi%D*D$*NOr#^{%=#Q0C%Kl9S7$^QK_J$X9I-#>@kX`=k==bJV1!+(FyE3?OQTmJg@ zi_cFJ{{FK3^Z(!ecu_UCzwf-;?DoNTH8qu<%Q~rzODiiLH*Of{)0rg)6=YYFPdO3) ztRm{RukYDMCf>`6CZDRjR%ZCj&CGV$i3$ofzJKrUC~Nt7Z?i{Ke7r}0-TlT?<+g0S zJdN06uCA^YpQ3a1^15GM{dJG|cwBt^g+Qx1o3F{6Mzz|W8P#{Hn5JiB%;vqF8Tb@3 zcvX(0f~kX9*86ic`-K;F+GWboPn-rmjt#60rG^C$%FWKsj<#f`RwfDP7bsY4R#vX% zKAUxyNlH{w(!k@_z{jX&V~e-`6p|jt%-`=CfB*XR>lDj<`}WQLuIDkS@;q_kgfA%t zqsZm{U%$+)tOk2~sSg~Gw*H!2A1`KQX*uFi_3@c8ZES38yr})<&KLGI!E{Uq4pdZB zjC{*pTpmnPR#c3wtoQTtyF6uZvFr%hvlHD3%zFn!zd06NBxB6MaylvHNkJqBnv^4*aU&+bNROPUxwoAAxwZ*!o zGg)VXDk}~v-Q`T&Zo%@#*w`3%Y`5H36GGuxcDeBRbNzDHT)3bg ztTS8*ojK=n$37D65fVFt1p)Iaf*&U(=`mIPMxxJGR0O=Ki_UsfyZ@9#%cX+09xrt%ZBaw$Zp9upRxYeH$$kD~3Xu{CQf>}SX+gQUd>6#M2y@tyxRY6P7esyaLX~QPVhDThC^t80JMb5)bK|z7^@#8yKks1+w!*9wJBj?}R^;8+PG`-6~J))ta zdKLFAM?b>E7Lg>`R(4}P>**GRS7QU|$NKsNQTw>3Y-@F1=B$RlLvNRy++X0`f9|us z>{!OZC^b3;297el$a(Xh;}dOpEIl)*4P*Q=qqX(*p-i)$$n=!ZU3-t->>lXteQm-Q z@`Zr)UVkea-f%ME(W6Jvd>3Zw9lFZq*>fCTu=uRr@A)}9_+{B+S>OjgD8AtJ+?=zr zvhs`8^|h5{4K)b?M)cYD7`j#?wMgMKZ}s%F8dEj z+%)pcGM*|iR#sNCR)%9|+P{1W;~#FxY$nW)`mD{jUH$dGQIHprqnBqKl^R=z5-?=& z>wT!Ys_Ok|m&i?OvQLszO;4UYIh+(-iEQX7wpAv3UR-R1dKD{V)$Oz4MF<}DxO(?R z(os|SQm26>F{3jCi5qjAtZ7Q2jM?ks#8Sm_pZTRQGO%M#&YfY1XKjfeR^uTbIf11QS~{R8oSp!w>PQt4T6m8lDBDr(Q|AjI>O% z6pgvek9hucPyT ztJweZ=g-7ChDbtRK$FIwxQw)JQG9zTl#mO%Z1yfZc*t@&CMMXu^ z)uOVDD+y1vQ_=q~&mI0W<`OdFYV9#Ua#pzk%Z$&&9>fdV^x-u&W>{!ROsb40Pns5{ zr>AK+PUYyN2mAV-j6G%{fAVCEfJtIZOvbfe>{Tl>^9tp25lKnafC%qH_m`KJN=Qky zJ=HdUe|Mi&qO{=D9=Z{IvfHo1IAf*Uo*g9Hv113K>gt`HbXexMC1r)4Dw-D<7W>@DB*sKNMzaIi{z$9Qbwl!)&`%(zL(|;ao=tAeNFO0=DQlNmu6uY^)HhlgpoWB2#5wZI3 zk~(W#e3`EL5u2lkWA`I|ggaK(Z{=mhmEO&)@4C7YTBC+DkHxz&qL%m^Dhx_MJ$q0Q zE4pz1wQM+9nk#ZrjOYWm6pL3w$OmoJZ?7OO||a%Jt*y?_7y zagT+Z^UqVVvu!^`^Z5{lIjS7zl5_D1z!nIkC>}j#F^5M(Za1+R_x1@rIhSjI4vzRj zz-X$enJpGHX{o7w%r||zy1FVYElrpkreR^poBgo!_Ec{GODj+g&_G+B2_*%E%hjuy zK!9!dNzp8Wp& z@Uocpuodv&yYKA+lV}HXfg@w>h3wBZpO{W(xp3jaI^+4~46VTnapwt-g^amOOnPqL zz8yrvQNV@_AOeNlnZ6ow8Lh`?5Gh#^b)#*0!&K@YKYmo}Ir~9jSERQBM~ZE0j_DSc z>-HT*y?Ie@rEknV#iezOV-Hpqdwgcqi)<-+dwX-X3Ygj2N_i~UtvB1Cq!u8+@1OPji;x|>Pzh=G`t)XJ|g+21}R3^pxK zsaKT3uXLqUFiB2dKj0UR65ul2r0B7NwZ9h@CVPD*Ej~Vep%PWKsau^)%gC83HrWQnGXzt<@v$*9 ztn-EM-YK-&HKr&M)MQg6-e7aSwI@YJM&^mz(LO-8&PCT4lMC3*#9g+C0_B-^>XEpq zvu^~4mgP8lf`ysb&T+;lsT$%KqFJUhqnt$Vg||zkh#YG39sPxa6^9lLGj-Cf<@|P#lhYjk+M0Vo)ANv}T|~4uvPPjga$&SB%)WK#SKJK$*K005 zK0XV#&rhxM?(NJxl_aAXlb;|VE1P62^k6N{s{50Jv(>%OP&%fYu0vmMbzk2w!P z+x?2wZ*}IAfOC*i>Qy&4jvr(Kg`LeM53QrThm!q)acqU-fH;O$1b#J|tZ1^VlMn;i z!^1-+=5<2@;Iv0hI#+tq*qGh=NIp;i^;S9Of=bJJ#zupbr9my3<#*O4im|DL1{FmO z-nAm@MtP}@h{s%%6@y=rMx`d%`~oNTd}GAb+6ya(DG6vZhWdLw(cUj=m;6al@3iQ& zh#)TyPe>kVF!JI~wNv=hxrm4e8b-#;OPSR2=wL-(xZ!-agmpr_e8bvW@kym67bcrM&{@XwSdA^0>Etk35#M zXi#`qH*zhDlZBcfa~&|DCOU>w`;e4WyooyPgl(UXGeEkvN0eF(sn0a-#aftA=I8t7 z=7_xEKs8x}mYL6ttlW4{brN4#VBl9hLeRZ?zeBFFva$mA9UJ&iwIe$|H1Y9i^w`*; zZq)W^N1FO}!MnR9G6;*4Nl{V77hm5-rIC`5Xgu%*eeZHoHLWXOr1yzq9T^`PLzQyR z6&|i2qE>#ZjE^YBtUo>+p=fw0>m%cn#Y-mN{6y1c1qC73q}sUWsf11ZG%)d}C(BFA z%ir=$On!PZj<**M;&V|%m3*d8XP&V$BRk%Y>?tTLM7(_+O!DDp9FI*%FarLUSHZ9h zWV|@kc=(0Bq>+$-K-fB`9uhtGLdiO2T|2`y$LcjDv8F;Rt+GqMKgUv2Q=9m#iL6D` ztE8l}$g7}Rdaq8`irBV(wWF4=>+#vho#iT=EdBcRt7g3D^sPAO9s7q=YB%H@Z^v}tA+ots;l{>3iytkF%5$`2y~mAuUQlKG2ww->EarOtYL%kZ%m48GxC zJXz}!zgST1x!g3=Anmzyr7TS=Nd`j^lgMS-PF3sS+Q@+4&o`akPRV?U+@|pbah|lx z%bPpt7KD1x_+={w6`-!#_wO0qb%(y3d-m+vla?Toz1qXdRDQ&9i;YRr`68bt*V<2g5m2tiR_9&MwN&pMaO{n3T{W0_?&6KUX1{zz;c zcC9#~ixUZ&u*lBA(QF^LIPs~G#%tIKAHMpO=HsVNAxYHc-Gx-^Yb>=HzW05CH(xG} zn=Hh85ka+>8!y#SHP+}LCLKSJ1K4!mfI$%_ae6`(^b&;If@^eY&zZZj4`>^+34dyf6 z__VjDqHG>iL`Bi@*)``Sp{<6TiUQZ9@b;{ymlu#jmFu{{LOsWIA?ilIyt{XI5r%;o zH5V$*D{Nj7@n7qB-(aVB{;?O>C1+J*W99_0mJ~&DIjThI>rEg|n2+Dc=ga3@8Tb@K z{v$Gp7$~HuN{PG9!i^u6Ky3BEl!0lfbIJ6QG$UQ(!!QYKdhLt0?Dg^C* zsmLttej?te%vsfBKZ$)udJ<~uY(UzWXLn>1rBCP^P+Oy--3Ed4@uSzhfk%W+a}{45#c0|V*Dvm16{a$YTU!`|Z4RLUQp z%Pt<=H=UlewB$}NE>Fg#o$?Oz`u9pKO$yB}QH_GYQTl=LqbJIL9=rBi!+=rc)G5I3 z%Asx$N8Dm!dQ^U>42>rKdtZ3O|B2`ECavX}f%fTc0Ca^Iu|6%``tAV5jjJzSyg-$f zyz=uEkwQz76(DjoT=a-mJ zV!6z#37bUodDzIoxmv!&-@%xAZLY`^Q9(a&1XX_X;@PIsYgVmem5be}^CSB z(~}Tm-UUa$eEgUNsI`T3*V1rC5;)47Syir=Hyj)$L?WKwD!P9C`f4gKXvre|P^Gt% z`w4vv?sKPGIl;7m)p%I>2YzhH_=x$m+Ka0J8pH=cK z{Z>|4*^RvF^*B*`10pHmYrw+7vOcQNVJWRW9H2Q(S99m<^F6%V{1XKwB_&7551Fz( zj1#dHUEj{sH##s-69))*Cm=uojAUIn>sZnw=IO5|_Q}_U$*$LRaImp;Rr_pUfS$YB z?kBL&==1Z{rn2aUBc8oUlcmYY2e+tO8~J+^;%5|gmTN9##K-U7*xaPHo#M0Dz}3(y z^5@T=J0D&xcLdJ9cm>gIIE#w1bK`C>Mm)*N5>A2gTeTJvYO7(V>`3Xm^fXsvOsh85 zJvtHv2GD|TQuR$vn!H<(RF@qiWIlfUSWr+gB(MqUNu<4|6`lDaHXKk}$&~r);6IRL zi^8^;uU}8EhXi@epHA7)l5&~WV_&_;;=oYQ)45cgOa(mw0Q^3!`7N6_e>bw6e4C=S zb0btW$ki9kGNF1Az}!gu$vXo&i|ReWQ`D?`SNoTL`ci&3LMb2X!pzp6SAI#YCFCF( z$VrRr)wyOZ$xhm=Io-+|^RgSOx+_C^<#TVuLzLE!uZ{o= zII|)uuUmIx@rR8($EcaMu1U0PYVZfXjEuj3+(sD-TqP$0k;<2mV{Rrh ziPi#>9mUxTJo$F*$Eqlp;teCc9&Uu$c9j(`91iw>K`jr?LkP?WF>)e<%u`Sx<*8*3 zZS_r(-Y@3RuXm~Uwdc3bot+nY26`3PH6FfdZHk@drS)zh$~54exH|$}hpm7i>~^e8 z4a%n5l)keb4)_QfEimwW{zbXT?#kt1m5NPUNCQa^aTS+cPfz;s!_d2QA($ZlvTzgJRL&PY#J?fg7+ z?NU^WpWjw*i8bBG=T-+b?%6BP(NLUCQ3x6u8UpZxCX=O;uEujN=cV^r+0gmW(D@_90kyh>M@iy{~6>K!{2JVrXYnsr*mZ{5{C zJwxWx*)$U&8hbhfO9)lI!i*H^6C8eDSsWFXKE0eWGc&`#tXzZWlI3&F+4=K_52h3# zTG&U@tk3LbeFt1vFTp3d9{TibcJ#vh-Sf#gFJ8VBca;(sKTn$`KmF|$c55NlW}!^+ zy421)HB50=11S~T5Z#f^wN1Z7e<5ZgiW)ka6LrAsVjW$VggI`o-72+ns&o3eG*ky{_(X_%59>h{r$Uu-8*(X-X1t+d+gY;8Ax@0RNm+P+Q*CS zyUM=R5?=x7u?X^D=AWe7w~t;>Pi;&~OQX6LHor+hX6fe^`qaeO*kzEK`y4<>c>Mmn zZ($H6%5L2rRGp`XOr38-;3Xhqiz1H{(Fc#d2$AkwJA~0?H8Zb4{qS&k2kqMVqf91^ zPoSp0t2+Jk{$b^&(H&~HCm%PE91{~0OK988;g|O038S%|hlGcCq4bsg9e;ZP+W0

        &Hg|sG4c_8oawT?bZKO-_Rgxe!2LFZzujGP+H4b(~tB;BH|Ktj`88JGcl^}v$}uIDwzjqsT!CLWXjR*m zr`muEXhAaoo=c*4ysY)~+Q3mJQ58T?MbbKSS6qh(CS6OjtvkVNv+Ko8c?^EzgWrpfh0nVv+T(7|JsK3^{=s@WD~GAAuQ3$F%EI z7fSi`uiC}Q9;@02aDaP^Lf(>iZ?rvQe<+`>13$prSo<~bovTi%=`2LDX+2PB?JJ82 z#Sqw=fQ^d`+nUckH&a{}=VoQS6oW-N&9*!HICs z@=!_+iyYM+8XA{VhY|$MNiT%l%b%a07nv#>?<&{xIB1Ow@${@XNCuviUh~(b54*=0 zDM}oBTA3L}CMUm`%?7iM)(+7KI>yg^*~6w5_~HOP{re}wj9!Mi-FNcykD873O++G& zo{XJoQD*Ua*RcxTe$~jbV(f|Z1j?m?{r5uim8`}9`eh_Xu|S9v2-wz}76~%fXWm6F z+^x!C87GHY2MIh=z}k>%>y5tgzCJUvLnI{WLZbnV`rp!*h(aY$u!|Spd~cpo?X$zG z`&5J(w#o@_RgJW;y&0r0iv*y{T1`IUXH#oI?P3>}@; zKMkWp&e2-i<|m=ID1+sDeLTo^?P}@HdCFL4wKm1og2a%NjagE$G+^K)5NR0ype&V? z!z|jR_Hdc3R!Y*ie)e8un+#fTO3;^G-F15A%e-+&0p!)Lm5Fi?T-H8s z<7Q;&Evk=om~LUAzWrK@`BwR7&SJBgovwB#UWO~^PT~FYpWKxMCQcbuxZihVmn>^; zKy|B(m|A&{PHMfyOJ8==rcHLG;MS{XndPXWdG+5cj(}nc&T}ws4FiHaGDI}d$XryE zRT_~h@26mrj4ZZ_3I088m0-ufH)gPReoKKl&E4fNd1f9VTgv;%AhKCxJYRyC1a-Dd zAau01Z`-=H=<>JAp!lKBSe>P`iQk8L(gjNBJ|RnCyYKl5L3_}a;9BWIm=D&+TlLXD zg<@s$@=7l_3|_rwk0K&;!6QP~-$zX?CmRDw!3PBZBB+Ff#J26*zr+d+!X^S*Ek`@` zJw_H)^Y?JeQ19C(fsY3nO4TJSJ7@ZOmwYW+X*Jvx!6lGPlW8Kn=mL+%CWEQ?-H^Z|xxNmXdgsd5J$)Qbpc4#*9nYjT4w0YDJ(tUvH2;d9 z;bJhDAR(tNJXhJjUPEJlsK9Z2YC2Mr5tnNod2qn@mGe6VGL?CdS zdgMO#{W$mOE2us{h%(gFWh^+IcF8wHabE>v^f^H+D;nv8Z)gfl@ z071!-fUp5Ib@k@Oh?5{gAQ`kL!Gj~VH)ME?2+4N&i~$B|E)j;vuwJu4a6_C z#ckck{FT?pZcp`Wtm_SGv&)WHHKnPp8d0*yv@Bj({h18;ynk@8uzcu

        cww3(*RI zV6A!o-niV=9+B%w#v^jMg|j&+=Rm5rg6S;&DRs-Ct#T@=s*Qy zd&=3_8G+2bW)6vXj9)Y>(xBXx&&S|Gioy=UHDO1rs@J-pP16xwWB!F+Rg8|$wI0Hv z;C-5-CX5gi8aklGWMpW#Bv1>=`uUI;(O~r;2aV+|iNyPkhl>*oZ=Zrl2f+dKDK`n_ zbdTnT1EO|&JD;?#_d?syY#)3vVfI$oN6F5I;v)fU^QV(MXLk7HHE7G?`f_ONj4!+9y2))k zWpT|leF7o~9xF2wDv%v8LBv?gjb~yU(Gpz#*3>nVb2jrDCP+U%D1u;)e95o;`S_?bNXOr=)^$!e8 zZ`uU2gW%Mal>9*mdIjZZ=DQ39)iT1v!{v>B>)&hAl9SuCvK%?RxR|G#aj${Z-7~ir zeR}m5N~9B}O7L%wBwa2eQJ1N=18>`Tf5bYq$Fi~>fq_p}*2KAZ1w>9`(YAGI2~N(s z$QS@-YuVzPH*bO}8mf@o1L1!C_@Wg?Y={ckwMKvyOcQ;L*+E} zQ%<+LHf1cLAlh4)F|>hPj@P*2d*oov5e|;R#cW8W*v|6=YRy472aaGjo5H5F2%B)X zr^bxE(vvX!tZz2G3&U4+b#+ow(!%z8xw+%G#~#0L*REX?h`npPkoZ_XyaEhE&~Kr# zva+U8S|L)I&x*2dspLI9J&U$fE3TY<+)6aPo}k*=TNA=Cr<@fp=E&U@8g{{ z&K)~UtMvk(WL|gxHBfRy93=m6)vL~0YoeNh@^U#zw6N*RbMxAz0soCQg$x=NuQ_U; zNr))=-($5g)v9Z03A98+rOq8Ddjp1Q&S)rjl_v00;AIMe<@yXvN&4pu92}kv9qWXL zE7dKCf6E*?$`s`#CE_>K)v0V@;De*>m(}B7HCdRxB(0hiEO|iNu>6w9cVj0xJ@3WE5gybY1l}v3efuo!?JK=j z7XG*q-KXUTx6Qlras>%anI?kBRnz-QPfyQI@ZoAPsDowrpdS?_C1qUm9K?6xqPC?d zhP-g>S%*mwz7?ZVr<&KV9|INxSFb~_jhcuvbe;GS8yP7Ky~ev+{H7n|Ak?y?k#aZa zQ>#h%TakRCvu;MY3~U^Vrm0Ufr?wet)o5$3(1GILgM%gLX`t!$K2@X5Kx0i1zk1vF z>!V^-GQb!vyb9;CQLkV zG%N{j+>MX##K@=coFMJtu>yzAT}F|QCsbe%spmJTIzUT%q?gDd1nZmjtn~>xc1tH@ zyoQVd=BaQYo!jCDJ+dG)Fz~0<=@hN0Ie=ZK;2N)7X zZzi%_gEs|;WKBIlk>cB)UDuqP2;(I^OA6QSqoFa2UpX-+OkNUwL{Wg~*yXf*a+g58 zl~qLKtaH1bWx6Ab@o% zaIQ1P9jHUIi8&gn-cNy@fKSo@H&ERRN=ow1Kkq~ThDTILNT}1v`S)u!Hn#c%sS>Oi zN+x6tEQ$S(m(z9k4+|K+d{v!@efbq&qOY%y#0lxSH`HN;?qOa%5hpehpr)$2{5#%p zq%Cg}$k@tC@3~oxmh9Rb^f#|q{Ons&I4d~iZ3}NEpTeoe~OqAA_I`MJLik0^F zP7}lPaPrytv_GQHOb&&%gR394FJgC?9r|IDwBS5H~kSy@e?`y7Y$#jvy>J3Bin zDhg;4UQmb`64z(?0|Uw4ZY+I#=8%YXLX@L!_n12*-AvG$W>`;J`-!XU7ha6Py(2``2g!vP;$zJGO)@An3$p_$Y|+y6A##EJg$39sU}+xc<-J!DrHNiE=AGRD_80o8u(xE zSCZ%C=H}+)AiW|d0u`SZ7JmBjrOjGc&F!7j(=*&sQss{x9Y~il)5hGfRSs(4>9WK0 zHOTJ0t}PgJIXE~{=gc>0NGuVL;3)3)K25l7ovC!Yqpu7B5Rnxw@!7fe*u^*$z&C_&pOn)sv_U&kQAqzrm)o1_!9V{s$>B z&%Sp-1r9915skjYXg=NlbGys-8W52w6NmXgaY{)^rF)p#KxxFN_}E#1H#jxb9M00n zi96|Vf4=9)>W2fc|Je#L6ix`fx>aC?h7~n&JNnV!}z!xDot-Lx8)@euB}^zw@~7~fz-h{88O7=hfTw)iH+`j3B$vx{6k zB04%cHZ~KNqA4$byUB?7c9IdCKJU#s> zS-imyn2l~J@IEs5`}esg8vBSh6Fz@f;?i2(>(0({xVvz%O$SGbIsEEaMM!$U)YKG+ zkw^g(Z;a!}H`L0^%uE<%V70o8;sBE+7)*m*T_;+@`tecQFRiKU)|Yj{uLr{CiRZB{ z?(42;`f_)lP)CVlwQU=JV{*L2wcn86Zh*x`h2ZyhKp>{brT2i8&L-F1Zf2VjxEnZqJ+ za5O+oQxhO8B_qQM%05!(928SbMV~=u96o%qhue2MP+#hoDQ zV?1aC&we&U&uQl^`mzsB{#l4WOT6jNx=^wn5fpq5Ed{#PPXX4LxHw5r!8jyxkd008 zbrmsZ9u67t9@lty)bw2-HHPYOBo$74goJzoN>7r$?u4zFA8m8QaSq%;yYc`29k1*J zn_695s*XlkN79W_@aZn1A7N8@)wDb?yqlOcSXQB4a@UO>-c`i+X zfx~@equPQC2G5p*gE~MtV1Hj?hy=|+t0e|nGGy>pHxrm509sVP z(COBerp*=07GHS4r;HZUo540R1QEHvB>>(+*`hU?5^2i5~-Fxvq*dmGFZZVJvhjqRj}h<$&BAKP!lNdTL5C% z-NWM-%~_{9LQr7fK|e5sFbG+ul;hHg9xrh5AeTV!SwYoMbDkP!&zc|Wu3P~@CpLB5 z8%PBcuR%ZP_{+E#{EAabzxw)!oYCxWP5C;E7Y0Sv)XdDr02ZYydAfili1}q|4fsy* z0{Y(Q3lX5_J)f+Tsqv$QXmz}I;6s?zrFcg1D?cHRXvW$Q=}gQdv!J{SaMog>{Ti zr-F6u`Q1)9EN&mXXc9H`LM`3N*;#mX`DW*x%JHG0r|vAglP^k2+yqxAV|ev-J_PKxQ5IcMhO2~-zD6G9I6!Y&Nfi}(&CfrdbV ziehTx+{m|(RxdzAVU#3C$4RW1V@DC!@#9`t@b2zz5GbM+y3kV?k6t9H>_WN1o|TuC zp=e>09fvLtq>T<`g40{Qp-`n3J_%Iw_C?%KKElSPnII{0a>HT;*e?QO@?;)9sZ%f5*f?d~qzAr$2e}!n(1qo|mMN+yhEq z4st+pe@nKWBg|O%Hn`a!MVoyBho+ptq~EQ54loB+$;C{56e656TOKR?qS4-fjj3K+ zxFD~BsX*!O-skq6qVjaSXLF$?-AK>WNM93&%bpr^|3r;KV`QnWGB00h~ugxd5(X(3X^v+TY!P ziuLBr8*46mDCe-nd83%Yee)gDIi^$4*|I+CtN2I=aPzaX%_Y>u224<9vgnXzLeonN zT}5CaQEhq}C&BL65G*V$fB*iC(?=aA;z2qveqV>BPGhxa6A3viBn8^3N_4ZY!_-bN zC+>ncP>k8b_tbVM(=s0`mb zABodIQj(IM72>)5pP#Uata#BjiyPEv+6z z5e|U{&ziH!$gE>3^9x5Yu#I`_F*hU#dkbLWmhHRu@~wRx{YWhjl=sYwm@seOyxGkn zvr4pfmA>t;$Dt@t!qwp8?7J%@goRrk4bGm*I-w%)EBD9~De285CoWIUu_hG!jeei# z-J}283s6#0D_GJG4)3ZGAK(9if>BxiAn89qc;_fi;IO7)G=m_7f$&@V6O8*HAP)Hv zPZpzl3g0E&C3St~5;$qrG_cx5PK_mwCO2XhT&i#g<5YsABH51JyIb{cn&X3^wX9;A zgXx3zS}SGl3YGj23EO?3LvSR)RH#IBsSNJvznsz3=GG1xW}oAeS3&t{Adg=M$qmSJ zm^gH5nCQ^qpttR5g7&WCLz{MBECpN310bGyE<2PtP5v=X5bPR>J`iefnuzt^#Y)lV zAO(@*NBpF{S6`yu;=B!$pxHa*uVOvQ_=&-pM<@hHH=slLO?5{Zr!aA z3}N90{pBorafi&8#2^k4Y_+dqBbj4kz5CJy=M1 zG+Fx*f*2aKG&PYw*-r;Bl41O7&C!P?R~F}d*d$k4>+0&he7Ka4~r-)e(_lMS~$)X)g?#~|p7!$x*>sy-JNJ-JZj8Yqcjnj#E z#6yIUqTF3tlg4VR++Hj&7=X3aRqy42n7-=w`><=zyKBl$dV8MZ6z4-ckW zwl%s0x&Jh6oFto`oh=73hI9cL&n8*_8>@h0^jWxO90+P<4%}1$mrt|0HRQyHd75+M zokU*7FC57TUo_F(yq}=Pt$05!?y?$f35MXtPfq*z)=&fj4Mv(#+Hs%M@=r8kofgLQ z8v{B)#yWPDDLRHMe84%)VWKs)xOg63XH+KpC2bOtp9wSk%$(p|&^^aMlS`w3UAdC4 z^JiQF9CT@&N#^VqZ}F}rP9Z5g$9<24&!3Fq)b5kTA!iIt&}=~#9ryZnB}z>M7Gx;m z?r3|c@VEtcC=!Bh^SQ4qJsQ=o3KHd3-6x*`d$HylQ@wAo4ow3{`8odv>0gI%B0@S| z+TsMNQ4t3rDBs2q!yI;qCuU#5Ob^`ExNa8Eakwd*l!y~^G{zu+lU;`nANE=54ZwvI zMtgRRpm_nFu={TWcd#dMdqR6+9Z@$bK2Y-yZ1rlkeR!11MWCcyGuEo}y5|^q=SM2j+#9yF&2z1n;#Q*u_6; zvvV&HzlOfs>)YE9o@~VGh^DRjd!gtnddLvPxjt%BHde0~I|eX84?!V6lDG!*54InP z;Opy)*-L?}J>PVTJ<-%5ucD#x849^ii*I&_o#HroNa2tZfzn- zUg|xeFZl22`tM;Iee;9?&K+QV*!_s~b-bviRXpbErcoaxV`#KD_qiNA0pSk%NP@&Q zc6N4u3irlA@a}V@<(}uKlh5vzS3$oAdMMtnpsd`yA1zPFs}Lu{p&a71`UXISM*dMk zg3X~lOe%_G?U>_%AY2?c4iR6ssdOMT6CXCyEyuaW$u1~J{f)&2-2w6eMx7??4zgpf z7AtG05;}$U+Wm6|263UGp?$0l^dP`DePaoy+CL+Ni5cj8#7-B_=`bL)!$64#K!83w z%l!?HQjytMy(UNXL@TKZD*?#2v-YEoy!*jVLUNRv)QN}mKXMEzDpXrV z52j;wC&Y=s(SPsKb(|n^cNaGjM+K5py^JR+pnElyIJmlsW^+=o$W%P^DVmy{MU7)- z?Z*t3?*P>F_=E~kQGnxPKGD@!0faQ+h53g-{# z4Ixv!n@E1z-)RanBa%zFMS9X5I)9gJoXK|GcQAY>B0wJFUh3INq^otX94|2#z!Bqb!X_dj!cBaQzz$<)3I@=cZWyMN$6Guf!c&iW znM6gzo4_EkO+4TfZtpPJ`NmG*?|A*29J=^|K_#$$0b|+C-e^FBHGrxetPu8=aqenZ zY-Kx(XFlQ#mQjr780l;fbGYt2xOqcD)IB{{v0_k;PGs}pC^innIlH)sr0X?#*Uk?& zTOmmQN;zk>JLl-d9L_e4i=2o=sN z+d9A3#gjWoMi!BJ3k(!TyCN!)9vKMrt9=SIVsv}<6o56u9BgT68T=+5-5vlIPxs-q zXxl{cs>$?V$)AV;9SLUUZ(0ky&CN6S4oJvvoFvZ4&dH$-5++1_SOA7*Tp;Y|M9T_Z z9UUF@^|?SKK>6axOiY4NSu3X@?nz=WM*#p78yFt8`9q$x;eZXGHI64$pZ?{HLrDkd z=tO{M@ODH^X?Z!^#_o6m2@0Vw+iOO!6agkPbiN=AOG``9RJnj5iN6sWH%9g)g(w8c z32t1|;}7rH;VuAvDs=9)u(0@sC4_HMwMAqYZ7qxlbpolM2t(ThFSTX9YZMYNzBR@9 zJ+A(Ao-_%`dF}(8Jfww{fA7=(95vdF5t}5@o2q|vp=4=;mW~4#KmI9Go;veCP;i*k z|MadSM>xB-5#Je3q9z;scP9S3SN~6{_GqvAf3DWVH}h`U9rk{_CE`N^Z)y*I ziBOHGOIN?t2k~t);qgDD`o)JzC)qU)-abLb8WeOy#&~%5E#`kJN_#;P^?!`o*qD7! zF;KRd^dCR_gwrwNQ<94Ne{0?;+x$LxF8QyUKyNT6UN79JM0Jp;k%8~TkGG(YO^KrL ze*;_qYvt0-L-q!TTrectUv!ZVyk%Af%z*Lr40lw62S`~dmk~b$=~q&Hqj@_*1y5(L ziw%yp@>zIny@4wus*h)U(qP1hh>Znc2aeD&|&ld67c zQd3bmF~9w1F7c!p8WrdFTacK5?hIb<#*-ypUJJ-En6K_k@;OD%cW7&>clSl{1l`ZX z32FQYQI>?-6X~6X$4KcB=|nLxkc$%5t)(dwkL^03-o8gCiRyxp+wp__{jy9XBq3rpdp>+ROypWW#F)Sb z5vX)BB~{f`^y-zc;IWzmAt31uYD1BwS0Wsb_FFbfuS$W)l zRb{t%^PesQ$@OAgSpU&ZqQF~ZVR2ueYN=;jONLd%c8|Quc*n+t+Y%;@IAcf~@$lhO zX9iwPAUY?f0;2eJxmXf*MQl24sM73h(!N{Hptm4Z5;b8}6_wL}MB}OV`uR7dy*0>K zjg2q0=4|k#Z98~7ZBUHP`?KDEZVH8a&*dy6g=IwRtQr(7tReI8B8{H7y-aCIa z9e9KB`YZc*y0#HhRRW6wAVKbz!%|pUR>u7YQw%3at1gTm_M?gl&M{P7G70292ZzQH zzR(JHxji&HPPz67|L+5q*_)UmJemMcuX?YmqLSK(cp`>wbhM?px$h2>e}!kQG#A%K zZFfSg;@L_cl8s#}DMvTozWMa!ugwk*`*aNAqRu^`f4Dwl%WprSZj%`m6=eB@?{bJo zT&%(6XmyjArajvFhBuFG(rsRQNh7fM^~5Y zcnn{tQba-mU)j!5n4<)Ed1;OA~vYe1EG>)eqt^L>p2 zJ)O`AKrSAi{VaqTnof@qpQ@AIX6#!OC&9bx?6|p2?0iJ{#q=zddhJo=y-{jxWm`)d zN9O@|aW6lxB?hr|(T&!hKYgOX@7Bcz2}PY-O`*OkJMSoX5Fft+ivfW^XvjapMuKzj zgzUVkI9M+4-v_+EC+AD*1*LIw$PwJj1T9Ng=>Ga&bUZ)D43|xNdrxzc{A^;2jMC2( z)j8Qhp!Waw?fK;*!jf@haCnpk4r zUc9w__etPn+2Or12TuB*xt>-c7ALZWq>`D7>l}Aj3steV-{TyX-;rt-7t^y(sWP2z zrM!mc>79hAjMX;{ed3fMO+W3PMvDo`*Mrz>derWFSyG)AnggPL{EZ%I!PKN zI@_byQ5KSo4OaP}{v#YYawH4{Vqij5@B{(`zR^J4#zJ}~utP-cj{l}x=tIvmC@35s zX{k5kJQWyZJ#FrLJMj!HuJS~d-uqQc_57|0S7|j5JM}yRSdhGU+b1#8zOV}_^>KeH1yhzxDsD2Sw=keCN6-HKehvLcWmEGLqncy zkRvqMQ|2Z@(9&u>|N4x0a+|}97FjU1F1^!;#+-`T>QYJ#W5;;W87en7!ZUC7ZQft$ zXUC#7w_|tQN4UxRY1Puz72|Q&`CoUAHgF^oqH@1IhWpNGAngQ@5GMaWQr)8En+W1wD@fPLLi6VICt4Gb6yPgYG;$*ZFh~_X5pQk+ zJ1DT6)6PN7Q(sp{c=`G@K#O~fvk$a+iLRfI4R%opT(dN&8Z);j#S*0a$hDtIM^va@vz zTCy&EzW|*IJ-LPlNOw*1esxO%Az6FqL8RlmXS4Il+A#XmHVvyP}%0_Mm zLKyoE?^VYu9L96Deq*YYqKI>B2tA4?6@H%<_>l}hT8PI1>MDj@8Qy zva@A}_-A+;TuwVZi#=Mm_?hA2lMKtlAWbaK`3K!Q5U8bA^YWInnQT) zCjD#AayS$-6T7oZ?FmVt>Qn}{|YF*^@L8 z;2^rgiL*X3jxxIP$wuqC=p&Scj~CoM7t^n-d<=SM9jdbYb7Y@s#pb+{N5%Bq-wNmV zS=RWYQKL2t5*HfpdNBzo=OQk8)&9Y%()_TUoIPGlNTVtd=z#CbW?I*#bA_a33NefR9XM z^vkcz)S_Ro4#X75A?SFsU~%PYliRL}9>wJ1 za9gtb9-V!#m4)Dw(y`+Q-AP`qI({Y*6$2*11`6vBvUZv2Y4#@8g3Ah!_5Lv9`>0#6XWBsCh zgNfM7#_oWZ4chffP+n{pLQj;~-~h4yl4CM*Xkr%dcYu^dI15a?I`tgu(+AuTEaLRk z(B(nIM^5hrlIne}vepCR!MVqtG{}?6m#%K3u-II{SkNz+AXtAfXm<2tUt~Xd7#UsU znERWJQ)g&R<4aVI$%&s~`Qbqrdq>gMCfLfx=-&{2D<;U~>G^s7vFDlRe|9hRK#321 zE!_Nk@H`J?zC&wKV`&X%77G3!M5c2l^?yu?Kr|kACx2a44V0ZI<;N4j=?-#d`P{Ul zhsV-8ErkR)LoqS!hcZvvJf`~zHWLeVV4u#$(9o6PPv);)Pwe!{(jKcQH;{0CMlMQv zT!7=Gkr8FxVCkh=iy5-(EC)EI#+RTc%2#H{yjSQ6 zZ0xg5Jl}XmT&KcLd6W3o9dTR@wvXf-1^Md4?CaaNx1KJ*K?C~)qe)d|N5^ci zv0zanMTd2oY;Po?&40HwQ zapdkV$C>wTP&~~y@XN)QNi z-Emg>``G>S6h@#!%|V;9aQ>^^;n3!m*RQWalqn#Wo1CoJd+CQ}wD4^sSQk{eJotY6 zCUj@#{62m#AgBNE_=(u*tv@IC`F#ECfAUFzyV(7N>F*7(+b>Sok80)`U-~ut?c8 zsbrw1Z$pXNDY+jbDZYk7wui&;<_|9`PBW# zi9LH_tI#u2SPL$+K5=K$6c-n2u#FqvetlbZz$Qu78>~lc))dy6XB{GWWYHv`T7d#q zyi^~u`s&RQR|z$B61aDrUtcwSWF=uWAWab6KJ!YzRQQAzTqms14>zb>JkkB~@E+De z^lSil0QX7drpW0a(p=O|8AHVN$4Qj_#Tx1`IM6%|N4EX+>92&rOqaYy}h}oemOMf+(%_>qJsFs5}tEF##cz%J{9uXK85|p+n9ZxF z21Z2K*>E|*;q`K70>$iUqD3ft*OwKX`(IWbyZ0SrV@;&KSCUndNMcJ#B*<~_2@2UM z z!L!~trTV5?Iy&Vb?$VhB=R&iEOurjl*3$DImCy&oh86%399tQYzG68gjW{2m6Q+_M zoGShMSNn+uBdUk46`x)0CUacv4qjarbJ_LyN%N_|K&x8vAJaaqqf%Fy2Fl13YXh~j zhNfB`A2T_e$7yBgy}V_0>5wBCo7^j>SCMIlDNIW@5HhuPi{Bm&7-!}>pm4b&kW&%4 zA)vyOC*$Ttj$(=UeVKAw=y`r z`$h6LkF}fM%xHTLw zI0Dcu-~~wfkp478awb`vq;2M${MLdp)M}TkFMVwXOj)qOn6hsLWq~FO*w2-#&qe5=RU`~S9S_fbDe+b@}^G=mP+ZBR3)bH}(QlhsGGB`6MqbaDvAP%8{FO3pkPw(!wS1_Ob2Um;*qG!HyY1Dnf39frI7?6gA?wZqBL@}hJ$c2)f7G*C^R-0M zTUC`p-s0`@xfYpJ^_^*3Gc`XxAH5lEx7I$$>D2Y9iKpj&xz|W{@U%t(H3q#!qxt-fjQ#Lj>5HH-;R<2Ck zJ@lUfIW1R7ZrXruN5$w$Ystsp;wG(|tIDJ`yKnn{I<%%qaJwqc4NGJYBW!jcFh7_=NSGZk}!+N~V^8 zZ$akyRTx=8tT^)wVq#)YaT^?K}>b^lv$5&Tk)zzDRkB(K(JR)74e#heUct{YZ z$^~)mxX#x8Gz!(7E2P5V2NojVD0qbAGaMNPQSK~`Jf4xj?q8FaTj+Dxp^a(=&X zXB)b@41pN^D|$i4>N3yY5bkG7VSL~~`69PnYv6+il8>gQBPlq57m2bIS_eg4-nh%Z z0CLQQnZtALix-U6Blu+5XlO)PTo%QDc)V?tJn`-6{OcJ=gZ;?l zmmZdy7JxK^TDbDz!(c70GT)Dcz%5tVyY;@(!+z6eef7X4pM{j=KfYVK&W`Qdd4cQ^ z(Pfl8LB75OxWEFJ0^0lD49r!uIWdd`j=p$D;dw8l(Mn267(esOe*z7JCw zM%D)G2qi@pm{X8-RQ>FA0=pJ4=2I|zMjR3}n5|g9f1jzL>Mnl0lI}+YrV0zMlZjhd zp~5BHhmR?JuoJn2y!}NIu^MMooJdUfB*hc?c&{-&)Q~;og zLOfpLEQn*GtreGfCo(&4-@cuQY74@7Fhvn=!oV=E_9f}iN`WWw7*VMf!Oo)*YaziB z$u3g@BoBnWmUzjDd+-HijpoY}xO#gC%qe>)WcTxA6o*q(TJw z7Hy+o^_ZJ?H!Lk5J2v^|zSJBje5N9^VBeDv;t8+QrpM;<&-VT(lt2!hD1C{)iD0B~5^{rYI6hWx1fC*UO z$q^Z+FebwTQ&$>>5$bgtqVVi-l(s7S#ht8F)VV(OT@zc_b$*>dISkj>31cFKhnr zF(C-}NsOo$41YRqqNClO*G5v6QC-r{`p%%0XC$^CLwJl6iX@FB$lbiiSY_vqv5f>u3K}Ybx`;NR1W{sN3^;N8_gc2* zl&#PRSAh74!flbEDsrdfjLEx4z5^&BxxkVUN8jKW3(FI9D0+<+Wu`lYJef=g%F^ zD=~*P!k*91H6JjlWGk9y<0={9W)Z5kIxWjNE!kMiQdx+NfZ0_R(1UX%3mA&=zu?uUqO@USJ^k2RxsTUf$s`F5z zeM5YR$zP2Pkai%T2ChYBf(ozmW zLO0#QY&J~-`S8%4?%k#L`vTVQOy7?+nso7}#fJlzR!e%=)9xSvVj(iCdl*nxQ=^1~ zB=qk5ZelAbOOJRS;5Qhj5_+|XL23N#;)RtZ0m4C<;i~oeG}ZZYH-3DmXe*Z@JnT5= zuI(zhe~7?wGHm1WYBFS9O+)dR(`vJ#mz>^u+I$A^O;OZNsNx zzE-I4p|e;h6exw-_P#%MGVWvSe+8Vnsh4nUWg?=yiqx5DQ3%TY-?#G5#0ZbQB_V`{&J0JU=FmIxnddEhIsJoCe^a5o;oA#RZ*-3jHadOar8Cje z?=AK#lOfpHDCRMlg|8CZg?|H&zgP48u8C1}xoy{NQZq6$C+0m0=li!IT-Jk(O&om& zMbbeT8TCO`P0h8khB_v#SQ!^mDCHUj43f{7q;wR_{CGEVO>TPb(ng_QLrtNBxDyYp zg5~Z7(5elQC(C?Vr@eP1MtASgqy7PLjZID1RO&@T>i-t7f;?``WA?#?zL@=$Dp9!j zspq4KsLQ$`5h9U*CcyiCZ{~Hxl!e#8v+F9M?XDZ^4Y9Vg((x&O}gm9-r>{NfyGw;>Q~zY~9|6UiLL6Sfq7+YK$GIm5`eq-u?eAa)wJ5d^nd9Z@=Ar^yWQ*QkDt+>!bGWCsHR?|u1IHbOuRBU6dZ_Nt^4 zC^*Av?s>vhvQvj9Gb&a%9H+!?YJ$hwokAs`LPBzYy6k1ico|NUe;I%!Ry1IKg*Kya>H-??lN zTZ4q6)V@qjX#zDtcNnfG0X`*r>c}B1pi-oqIcA&B^09~v{To8{Hs-^HGbPXEJdz1B z8`*Lyk6ca89%ML0kWOf^5T#rneBxqF%@*uOVJZHx@0{4xlI{z+pUK|bCeI(Tc4Jhx zK5*An>ARGx)`jKhert>aH&ngRx?!b~+8adPDRdKcVXh;$M(z+~XG((!7y?A_|g^@1$w7Q)id z)3}=hCFX83-)nAijm-X>R8s#aLPB3&#|FSVz6s`gJY^@^^Fg$QrW(+C)h#;{ zG!I}3?VYAQ$qqX9L833eOL%X~C}~KtnkbA!nV6lFQ{9?kHp}n|a^rzTKDMm7!(!*agQ(V+EzRC|3S09l($1g}?7bJ({*C z54|U}UyU%r%~@aW0R;e&9C9BL;)IVwe3CKm1rD^0DHw?y-*jc`)iuBQRDs7Fw6wBo z&#nj#hbRb$J|X6wA8)4DUt|qk<}$_oJ3S*V|25d7+#nR2;kvQH@9p`=hyK-%M{88q z2~qAAIhv-AKDz3Gb_e~bQM?_Rxxx|k^z!C4nQ@flbc7CRjjd)8#V0#Gz2>&qNI6ZC zuT<8!pO$4V)Mp18RMUFW^^V=0=MUVuJ}@DxHnLmYv$tuEC-BUFI2-@EaP%q(L>$Ct zeNEEG(A|9j3?YgkBtzx=yFER_+xqB*!mFzN8w$$S)@o@F8@IX7^LwwGxk|Emh8eof z5a_P?Q@EsM*9xk(X13|Zld4b(L??dd^_=iq@@i#ZqgGHL@bXp{JK=<5{cjw^B;zs+ z0rD*a$I>k6I+UvMKEdwLNjIz8Zp{OqEORP}oF3Z&BcZoC22X6M1|I8Parwu3Z|1^E8 z`(*R2&9NRsVG{D;iJiO=-9hjnIRz>$-f4a!4G z0BhHD9llb!#hZ`49l%w?v}?>u1$`~*_HE1~(sHVF^ zS?Kzgrks+P4vPZ`6Wt1$(dR|+EC%(Tj#{aMT$s={8r+f`>_~x7$|(_ zqP(gY4^s3qJ&6elc6X&1^8a+IVDFBH+&5k@JDAj~^A+br(ZnGARp}M>FGu5&y8s5*D zW}OnHXFqdx)$OSr344!x3wJFOpZxH_ zCL*4{F=BdxZN_=`FZBfJ7j5+9WbN(A@2+utIC<^(O3+g+JhtC>vh0+&^QJr*3u590 zkYlUab?UbMJH}VxMM@m_A-bLD4gx2ufK(OM)p8(q?a_{)sBIV}-NbN?Y3Ej7fgh~1 z_o>vByLOxBn>!4!_^fRTC#Rsb>K1L=*wJGtyQjHi#&^orQ|Hc8}ZQtq&)-edsB)KB~{^06SH4blR=DuQz>;OOP{`?jQ8gQVofLA3B5}`lE*YQ60|W z;PI}4veZ@Sak+n>tyEG+$3k@Ilk$%-uF{<{ig}z6gZ_he6T#$J_(yN*%;!a4+3n#f zV1FT%!|975ltK$um|`DPs!;q6VG$?={PEoY_X!ynx&In)%b8vSml7#9NH7}}ZEQaK zJwD05`&5iD-?gr^S)Fn<&S@c)@S59ukzC$mGgf#ldX!~_VuJNShLqQ>;MaL2t7BQnrtxiQ4H{o?;s^j}IKJ$@D>TAdDS)eDAj z)40u{jQM3YkPd=oCl<#~I|9!dR_OMTkN^#k$u}+z?d<7!mbxp~h@R#ksXN_KL76fJ zz3$P8<>?cH=Qy|0dsF%m4%UdW3plN*$b>8d(Flo*tU6f?s)lYcLC?pxC_r6b*z}q9 z@nO~dovTmoEZ-2>oaaZT=20TGAbVRJk~H_40K;``)C4yFtVgtR8Uf9{Y0mPi|pJ+eY(<4{AsET@XBH#<; zjqDD@*rbClq>3Qd;H8faEd{u0x1v3IDwBK~Mw9L}vd`-5OQRBMWKuqA{el#kX9dSo zZ*jWEWFyD!?pT;f{Ln{c&t@S}!?h{l#>c4$E1HeHn<}Iv?2PCSQkeQ$@qyRjh91H8yr$xYn5AHLUctJblOwZfsz?kU zT)D^_MMyT-EuiiydD++QH&Qh|F`+KNxE){>*l*CT|H(L3Q;6L}1^UkM6-)JW9q4Cu z-|YJb;W#G(%~W{P$a^lF&odx8jlm892JkU=?;?`{1p5N*b-t$TLfgHAJ4^`C@ z!HDkgJb)pjibmUEIBi&aP3f9u0k{K2GdmR;XMw;ZFXe?eC*|CFM)Si$Q&;x4ygVp(%xSmn-2@7kwUi$pObA}{>V@&8c-K*f$TzY?A(s9AuDYfMf$A|w40pQ` zk?j8%L5neVh-faZI&7chbs24__0?$~965Y)NxXb~ad4z;(z{2Xx3cw+OY~yeyO;2` zLT03u*-U%&<7iM22PxssCK<=)j%vQNqUtQ=VOlK7nokn>rh?wb%WaS~G3xZ(%e^_T zmWBw1{Jrx3K{9yk?FhEynf9Ig_g{t_0?u$AL)R!km1XyWTBFqVQP+7PPlly|sKDc;0eNKI!&zb(ad^c;JMX7ntM_r+1xsX5J5uY#ROIoel z-9dg@qve>3!e{d{1ED5Q3CS1je@qFLvg9C7OH3r(ObG8c#Uf|i&1#jsqci zi)&Y%yDd2KPx@sXS7y@9-@?B6+&RKA)fdk%rsibzHs4G1eSTb$inBmk=*)NJsVLjx zm;{YQlA$5r2=->{(B+Sz|E*Fy{7u)KgIjBVWMf4AzE;Y-jKqr=cwsjbtIO2ar(W&y;f2|AY zmLXC6$!SuhDTy!!;XW4&Fk`X82WA-jETjQ|zO9Uf&v-8e1z zLoS6>guTLY*U6lhg{b)#HPzO%K=?YA`P$zIro4F9`-1qGHHE_e|9Xk& z@6}P%n(cE59SqOVZ2Rvpc-eGxA4@n`c^!LnzKo2(0PtbF!z6f4%ZrPv7x$OXD3zH! zWg$59JcgeOe1e__1O#-Xcv>;BhZj4MSTxe)nr^yRx;Rj@X?=sTT?y%OC*xkZJ1k2p z7w4)!WULUh`P+*4#Kn`lb_;F!aWRI$WU0-`9;cI3y3W^6pLYE#Sz;;V6=<>VPXLF( zYtlTuGm@CtZrZe|v$S`jT87~JSio>;{_92ZY5)%lFLy^8bn`4tI3syp0V((P~$* zw|k0-^gp;IBN@NxR^UVc?l|oK`qe8^Iuh6XZ%LOG$*LcW`>>I8Inp|;v}V=3)xQ?d zuIyL%P^M);pV#;OEkCkE?_SxGw7Bl;a#zoP-AZ^?7DIAs=GhVJ&yt6w3GA}M$-`!m zJU^SZ&aknc$)vZAe#WWhF%l%-MijI>T&|5a&+q!`N+jC-Mxu3p1#v+PYmfsDUbI2Z zr3)8`x})EcqO1gXr3MQhGN2(b^|2cN$PyCH{frP?(=;4>X#+Rm)c5j-6(JG(Tk{vE zWIUJn`umSCZy*>|_RG2tUAsX+!+5?_P3ykq(R~D$;4t3~yTV%@4+`i8J*_$VK01no z*xnKO{k>X#rz!s-IL}Y^fvEJEqdYWSb&R^2L77#wg`T`^Ta$Jx22YZoKK<5l_MMjd zch$CyBs`k2ZfqAX)%($!%T~KP<@+e_I?JO%8hrTk2KkFOj#U_l4Lvs$Y3ra=Li$27 z(E9r`|MzA^x8H8}^O70IhNEIXke{}ixFu#{GFR*zcSZEF;9a$dt49D?W+m<&g0*1E zCCZLR30K4|Jfs~O?KJ}Qkyc{2pMbji5^hwhZ7lraa zx(k2lXS3Ab#2e=ci)0S)8vUz4$;H#oDJi?htp z#+pw-tWK7VwEcOz1gR6GNqjXSfuS?ia25c0=uqslqMbpMds0?z!aZ2XNZ!bBWKa6aH1 z_+7saimVU%dsiJ(cZ4^98HllV^1Qrbc~3uVrlPtL898d0=k-eI?Vi}A5`{>SqgI*S z9^b&`X536z_{#IJqvjQkgS*kBii4HGp^qE30rTg#-Q-R~`*aYefBbyyy}Tk0K-3`i zyoDPNjDavl*#geY;^f+YQMa6Xz6?PHTUB9J;zqN(=`T1j8iJ9VGhzb$z3BW`$ zOeuoQ00|;UwGdrQpraxNZR5j-55bjsditFTm)A;OwT(Dz=ZHipV3w#VFzAz?0LoE! zcQ?G=-agq?qM@x(&Fr{9N?AV$g!b~NYGACg)w~ElWVW{56|4;0ln)Q( zth$ASU&>fPKT&mCd%f&2wd-w^9zW~u=k=>7}Rah(|=_7{d?F+voAsM`*2y;iP(~}Z{0bE8wRK z44c-XqUn_hL2Cn5IFV-T;o;%n0JlL#vtUn%{Gm(vv%&=}8HRxvU1vO}&kW`bh|Nh* zk`XH}%#VaO6$tjwFW^PAQEnNA2RMA$7e3$7ioh%$(Epb<_W3Ead2mD@LvN~rv$3wz zS^qjm}VFQNJ9iCzNwP!&Ri85Ut?>3uivqaP#JQAOL@Wxrc z^Dotyx%a;jUl!zU_<(|=rq*SQj^P4AbZ!nvh5VjaTf(ml zX$B0g#>d8ZOUk|FG5U7Q5JXYPbsM5!BeKLP&fM%Y;$C;D1fx zxRd>%V@u>FUef;TwI8VjPu~&!au1GYB%X8O>MG=f4I7NECMxgwl$Mqr;B5h>pNR@wL%`LTz3AV@*FA^uqfebdj;btUiPNY zGrJkD{w%s%d0&j|?Agxek9Q#L2}QLz=$16*=p4BBYux_DPcIA-M<6)+hUE*!$aDCI z!Ofl`8PFlfQ<%SfZLHlLTpmbNSu4za;HFNjkBO&+2%>T>p3{|cr+EGUB3R$M&(=E; z|58o1v?^$^eZj1pgQizmCG5mP=f-q`_tE?+%jVMshx5&x2+(V2lz1o}AbuzL^?q3} zU6oB#?s>Y{3Ow-!g#kRs3-B@n2n=^kG9yT(P+mebbp$u)@32f<1b+%Jk7&BixHFl& z9->Yb@lJ?{x};#wqj-$_i~9VPJ0gVe^B3u8CL67}c`IM+%m3)*WY$xj(nTdwz4S}c z^4aH&c}(U#ly8ol7ZuMlBO&g@;eJ#yiPLmUjMCoTvM7N+of`qwQu_ z=xfW$%F5k}|JMEgvzYN^6Puv=AsNC4-tOyS5rXkNT)sEMA`Hi`Oi(CFluS2T6H2%m zr1Lnpc#y6F1U>vxSe!=ma%~R?Pl{~2vgWN@@uc3p>j*V9YkS0g`;Mi=E~yhP3&VIFMuP3$=6Fh!R8*|et`1l|@Vx)?{)~=~tLdU^_$ToUmKzdZhyq8h$1aq9 z^0hbG-M3}zZgB+hd()$ zi}R&Pw_F=sKRLI}@7U|OKBJGcTF#p`${I#?dd^x4(g4LKg}kJ#KZ@?3BqNM< zx3R2>SW)dim*G1)?mFenq20dkV##;Wby!}jM+@$dbi9jEPOz(l7obV8qa+&Ve4chT zi7>^+B()E4dB(`NCL5jK`mjj(r7>{*u`Jz9XEpx}JpU?Cr@P`#;`HbNAHnDIqm9bh zy`c`y>r4*_X!}7ip8CpcV24pe5BEVraM+v4?zZ(7vZbGsIc*M@j+7&P7{$#z?RL0_ zNG`vTK6ntu0O^@Bu3t$B=H|3(t8SG_v(qGKKbJ3a`n{}SJ{3#BIAh9(93e9A2Rjt? zMUvD19xC@$bwXnakHCI_>`=fIJG9mG^_3+j6Nedq9X;8R(*;#nYHDiisUQF4igt8| z70S#=5H@O@vMg7)plo>L4M%S_$s@zvC1a5aZ%A4>IPmSC|5m?llSxa9_+LY!35^0H zj;M7MQoy-}OIkNUo&OX02`0qC%U*1Rxq<=V0L$IDd5%d(1}$)6sDhIBkcYcscWQ2u zTAT(qj`=nRq-C#Pzh>RFN17_b#(|{X#0dxKEu5;u%mpK2-T*le$>!Enic#^%)7_lk}xmqpndbp<(dUCeSfcK>NkD*}XC+A@!?nx}%3 zK_X~e#49G|g7GA8^1;{6fmf&gQac=ikyJIWghpZZOuE*4_<6)b#Xux^Ao;MgOc~?1 zQGT^Vq-Z|W%Uva*K@<+)pP9?%Wn>U+nkn{#)l%a>k^7+HL$jbWX=1Jg~g_Jo|6k15uuP zxk-4E7}Y_5auLa)Y-*3=A4EFhY$#}QRlSnn;~&8xw}c+!INIRp;VmHiW6;1TiZ&^q zHBWQ%55e@ivC4&f_CfXBk2?*S=o@&PX7B$3YhIq?@fd+f;_b7mOq^Xnge&)erchm9 zsuP!f=!^YX^G_IdgOtKx)DnzYhOQE1bOe1}XAL{|@m|ON?Lx*wV8+wa3 z8|B^-#TH>Z?!avb0)(Wb>EU4paILm(wQA1nj*Y-O$jGS`uvx?8fZuSi&2sVX*boe1DtZ z9=9Pd!MOo{+I^y;1?@hQc(lJW=v~D3HjjeG7A{Iy7^PB!3?fgkZ5Pyb;DI1-Il9Yu1KEgec#qL+d_sD5W^&> z$qyqr=O19MwGq$K%f>E%(qehpurjj&wnFd|d@{HG#BFf)c+@gywSsDVnqSFj^|gj4zG(IC{+l^t3+ z+1cnKV!ju=*UP;6BstGUHr|CSzLGXZD#K&$UyKD6LLZKrz7t9Ii z6j3|gS9{zVeI5Mw6NE48y-xWR7z>I|hR)0f?CRK~xCxl5aq8-1F;R<&*l;+I+ET$V z&j5{Q7YxqZvSkaw+1g^~=u}Sc8^69VTHy#y-Q{mkyG(huj3FrO+3c?wt&BoO zr^pA*!6qERVbrEoG=#XgyGw<;sM7djnu|R zA-_e&)&Yg$=L?J2swHO!STN)r9#(tRqhlQ+WjRDJc=U6=a&2F4ue6Lz^S%mY{wU&b z$>j&->FIj~1fa$u7iqUoVg5%$YM-P8xAMBWJqgIAPvkogEEDMqOj$gq;SzfB@Cz&9RrU zu2Z=WcM1wdFa+?C__9 zT+hUW^~o)ax*OQ=0)udnqP%dm*m}{J9UBHRhu5CZu-HKSHRgPTuX}Ms(052IO$->GC!C|qq#DN32bxsjkh+G3UM}g#cdCAR1U>wMJVkx2@c*7Y&F|SeO z6iJIV-W{nujt3~0fs@tA(UE{J2Z`K(pbhS*x3~N|L?Q4*jM=g5F%nC%Q4bGeO6=0? zC*={(V%#rmx`PLeat`C-;eaz&0vHYLe$$CF_VT6~($G|>5}yk*Z0PJhXsJBiW{I!a zdS9wmKBGv7|BYBjclXP0wgBWxuf##=jj^GklYxQcc?@<0Odp6Bd4qjTybh5!{r#rR z%yyV7cQ*8SYU-z&0IK){JX~Cda>y=foURl_n7wpS0|XR&@3-p#Jr7!1G@HfhJ)f<< zTytR8MHDJM6${M3HX;i#nt0#R?u}4AfmdHvmg>{Z<}hN#YP%+)(FbDPAc1o8=B4qR zd=IJYyRD;Dvkk1Mn`Ph7PA`MH!4ZTyo>6vaF zOU-Z6LKJ?cR&sy_UHtX%^sPG#yLNL$DPuYC z6G*QmYuVCMoP{W*4p}kk>KSE7f`l|$7wu~xu!UTVN{<#*G=i_>(>kK z#&D1~{rO)X=<&x1lGk>0=x6CYUZxCC8qtX5+8QD&D=X1wzXU&6(NQI8=wdk{8>e&) z4IB6D+#V4TfvEZobS0U%JA26^8}A(3W1OE}QW7o2-0oZlLefA`<8YxsIs6A^-DUH- zOirE3my-E1>kj3%alUevo_OXvYDAnA?Uz%!r%tuf9Nx2a3x>L|XX<3-K6+%AM5exH zE0+J|B&?##9X7X)eg5>RCPH`5)&feC@9%%(Z3t|(zrDR?ip;m7mws+E zW!|HQeFNz=oK&4o0Msp$`Y`$%V%^|@%;(SJR+)D(Zl>76k~ZHX_F&I;Px-;Nwi6S@ zyo{SK?}69I=78%1L9L@t2F38<*aP^G&dvt!KFs|qGFLxyMrfH<|5vP|lauxOCKq=N zILSTvB|c*v+BypOgLWp?YAfBhgUY*Z83^45j&%NlMn_lIzLV6=Dn$`|xK{7O9v3xm zmcw+H_H!%*t248+Vk^d`W@d2;w?A;|S{24tj59?xE-ws69{17^d(e%u6NBiew`_s) zgCopaD%Yo}pCaobQ?LJg7kb^!%$_<~j_JzfDJ<)U+)kUSF@y+b5ENHK5U#4LtFN#9 zs`5elcFJ@1_x$QepB2Bw@!%UbmLZ3Q-1_tnW~(ECJ}d9Lx*+E44lc8fsINSin9>dT_f_OBcyZ zoSE{@a~o~mIOhW=z@TFF1PTB>Jiyv_xQn@R#~!y9Pg6k%F0BqvsN6@x0jk;zBGabhJ(YH$+-&n{5zaF zH5eEe2$KE1=kAd5GI%I_&g^p`2}4w9Z`T>oDTi+#g!*UuT3hq8v$Ol;-|Th5?23^u z`zBsy>t$nE9VNaRu_M5nYo3a2V#KQcCXYhTc3lo@vAe!LU?4LqD11hl;j}aWUtH_sVZAIp@JaAih>sW@Ua+iZVDMNg7BL%ka6K;H-DQ8~I~E!V z-a3ZGs;nH)+4ljfcM49B-B&F~CJKjbGQQ&74jzPwl4C_QGMFdp{+?c5d$(>X(=sz- zUk>ZVA<@_v#GYv+Xve9o(QtgC_v7QS|w@l|^>yj3L$nD>wEDGPZyJ<{{_h zB;3Et96hgJI{}0nQOH>El*cX+WD4^4cc@^>d!vcu5I$CO8K;+smu|@XX>JiSz>V_* z;@Gpkz8e;+w~;QAFT+zi9-ZAc9aPDoi^J~!k@X+oT(AEhIR3UpLMVGBBq@bthoq7b zSy4h($fn4MLUxi7NkTFrvZ9n(_NE9aGE-)R|Kr{HeE-+)cm3Yib*^*HbvnG>ulv5A z_j5c3c=dOpvXPWSFG_(+7c9NI5?q{IT&Pc9T|5JVA--In#offrtjYFSard!$I*;f3 z4;^x9e|(%Wavx4F7CX;k3Z2}fqd_0I?W%SqYSg#R{NUErFpuAeoa9CfJU?@=IU#}d zmGRK5c%4bfisHDr; zTau;V>NZ%R_F23y)@!KJRatyzD}eTsSA#1pd-<09pLrpJV! z;NYug>untz6B*uAGq%g_|2m5?n@$f9(_--d~z2DN6z`tCnY6P zP+D?DlA!B(xD{B>0ikGA;vGr9UH|;PGJcLv#q+Qx5=1Mj%<=KZ#{=E=r@-_v>82WL z)HKPi=MaTR(Wa%NiwFrZ^VAk*hSyvBAaht9x*xrtnxOYMFj0ZSY8>kfD-?LzJ}YNq zV0bLahO3%O{)V1wY}-T>$5G9z2hoMY<>V$bre|OPvo7l^YS?Z=JPt@8IK2HkG537F zbma!JD-Ukh#%Mm!q-J&?%bgie^t*am;2v|zpB0R)EK^IPFi86KqU#5ISw3otLpwO= z&SpllDzd`$sX~Yl-D&;w2r27KvnCR@UfT)iWr$sRlUvTl$(f5cT2%#`TScmpFjf8` z9Trr;GsoqLdEV_{;@YhK`2+7oJBO#0m49&=0Poo_M#m+iSIVyeRf+Z7i=MY0Y6v!6 zIX}Pf`}gTi(J3cgU*9)^9ABrVp1)Q?mLA`4`x>UqsL4Ho5rL3zx17b@HN;d7I7eU# zEr+;yP_M@R<)_L7>~rHD!y5~?2m1TH<_3?A>nR>Oq`mTq()(Q68-=8U=eeUGTJu8o zI&hj%DFYoTjLnbqsH+d0tRyF?V-!LxREAp1;tZ z<2824i=tX|=F4p=$~P~J`m3l`$P$8E9?nzyzxLs1 zM#}fE7Xdy+MDHW-tz1l*ec;`flyx;bH#b@G>aN(8%lUNAdZutJP)!af=hriu`??lH z*v>R8Qf^;tUKQbgbE1!}R`J&tLa7x^(zHTu*v(q2LRvZ9FIn*t@uWuaLm!lkPES!0 zq8gBw=j7!b5G8&z)YV6RdCj~#sOE;bBwC9ozC%^{A+%j+I5RP^0tw~s3BRKD3ks?Y z|IUXxE(^W^iuJWBhV$2`Z@)+H7s4O#ft2+q&41v2d9$md^rPWH@vs!Oiw<{L>#)@m zf2FMqy0)P~+fSBKao)h76x0H=t6-e?+pDr+%eYw=_4)7{c?AVulw}092zGa*-O!yy zcGlO^BmcW`5Ax}w9c|poqJ!GZf_tcxI5^+d43Q0flJ(NxM&iFuT6+6LI74coZN01R zRKvJVz{KV@+Ue7=J>8G9P@G@G7r%@t6ke;PR;C$@ec9x>T+z0Nkcd1aV({B=WT36K zw6uiI7aUxP=6%?nxv~p&%-eHkG>O8%tr48ZenVRFQjt}JavBuwV70NIIM#I>l*Uq{ zJjW-Kw?acOCp()sz=7ELbG9~OYKOM1a#1!qUqppKjG@SQcZO~*z3?MS%A;!{BeMpz zGa@VtLZn2xA>JxXW3Rzp&RF-}w!-U0g?p$z5IoG5P3$LEJf4pfF)k!7yLx>VE`;*v zQkN;6v$<}G{iMiz@_q6YqfOO=-1MQLW;Cqd#-F@({rKS$u{lw<`x16iFMiRh-a@H5 ztyCE8X~0bccaCwO;}@^72yg|_=u9?Esdd}l{hxIHUc*;*aj##mLmTqrH#dmYy%W3N zdjK*iF!hG7^!FKAa1j!xY$0DWTx`qq`pvzls5YE=ATpu+=v(pTjW13(refy3H-u_^ zo8OhN7-m!c6dDu@jNff3ub3svGxjsji8T67?zYtzIu;U1-z=qNp5)OPyigVlloZv; zFrY1X7`E}zd(NCuBJBD`+m;i1Fw5!FYe$w`8@NnPS}=+3UFz!WBnt8+S(EB%YPOu82LE9JO}O93@HFG!jCL7Yb+ZWn*8RM2BD0nL=!XFI6h z);Bj4rcF%zunAa@k$YF1+HgUQu00`0SzzzzqV2Pu#*Z)Ox<1*lri+zE$hgxq^Ye>| zL3SuVy-+GN)HI?}PIIh)@4-D!qMsFxxVypO!+4TLfIhx}>0LpeBJHevHIK6^%~%oN zBIJBXNXY8S+pUccLaE;%i8wKF2|OW8n99qI^7QH1B^rl@K=(x>6n4%=!^U|)0m1{* z&n9*WDvwyWSPBUHUkjH1t^X_bCd$LqyOIcL# z@E4I;gS7{6hgdYx(jw|ywYMjV-ogEqD8~<(w2x)4yMnE}8DTu2ugc4?okJ?uk9M2& zl`EljU%$+Jg{)>3W-jZ6w92_dWc^E8m03X}M+c4XRx2&$O_lGw^~&&LacZ3`sqk5b z^bYL|>xTxHqD)^`e9{{!=ec*UdhB>!{cT#CYr*QZ?n=FF=gukOHgdpGFO4q`f73f@ z5hX9kOhcSv0X;8caQ*0eE*K3KuSWw2Ns?L z)G-p@cQEbTSr&SaLGw?Vxt#9?Tddy5&-&aetB>I|957(ONK#Gv^5id`u38%jy~%-b zgyV--titk~-A@>@=9{W`%Zgq6>$IYpd9V(3C#!*Iq%>0E1ItgeNq~n;D<=+&@u^e&rSt?B*KExa zJlND_fMyUl$DpKJwxia^reycORl9%sJC-t`lBkjT@=6n&H_>g%nJfT|1cHyPC|D#y_hr(y>un!^TT5xZm9dOU+cTuc2uCPCdBp3k${ayC0wa-!_6? zcYI0;of(b<*sn}9w_W~R$~PopnIILOEai}-CxUY2^?(TdPIIe|k9tX8yx(Ca<1d-u zo$r~=bL?J}*-irY{rG~C&$Fqsu1^I|#yxUiVeyjMW&EwF3^8y4tu<0O8bE3J`|iA8 zd&wo0SH8q+OZFG;EV7XBaFf>_dD_A=C2e?Ba~0G1Fv|GZUl@2!u~t9Ze@NbKfJ%Z) zj4os-f_%j1V96SPHQD3(*1$6JAmJ9}*tHKIZ=I$%(p$xw`Rcl>LBPZ}OObgw-i{6@ z=i{zNK7Q0TrMq?w9RrtLF~npZ-zx`QACL^2gLI3@8g%9PIv3K)O}J%aH7 zo!dhI(hv=xK5Us^mRn;f=3B5U@n+PwOsf&XJTJjaYTiX_qb6YeTFJ2FWs~|{J4yZg z?#HLU;Xb$T&W`UgyygOzd^&noQ@2JXc1$-+>=DbqYG?xNyyiC<-u>2$*{K*L*4NcR zZqF8=CX)tp1+v81y}QD$%RRCh@J7pF55)=MI~s$Z69rMMyk-RMd#D#L6@=} z{s}|N53^H){S64O-nDL3URQHvmA3fZ9xif#4mKl7R)QJ6XtBkbQaqxfdqUc#7Ja`v zZtVjOO`DQYZR30Rnc~iL27@)p5o!3I*nJU={O1%2(0{v5ID7Ui@p>ude%XUBZntp=IU+u58*bw?Pw$``H@bPB zgCDEEHW5I@4LeCE3|IHRsC)@CX~(TILr}#-WiyBHH>fpu3XSGLvzGJ+|b^gr`+5mbhRs{_-(2iK|BhEt(GS3X&_u7JIVS1urzg?_<~}56=38Zd66Tke zFIIYqXT95LuIyu`f3RXG_>zLkmAyXGBR|6~)Q=eqDWsYmC#xh08eNm^cUaA}N$+W zy49a&WV!5@<#!&SzbqTOHV|QSwNNj}V>#X1Y3qtA$-L?;sZZV6koxFH7#a*0mvEul>pa{2xdkq|)S=NLc3jV#|M@>GKthY= z2Ci>EGjhVoV)+2~9JqRefR`R%Z^SZ?Y6BVF7`l z=YNsIrJ>$I@Rxai@rj{ECr-BEF!%wCU< z1Y=pqTmBrTIlbX@$8ICqH!LIs{>-?8p%xk%8Y;-OWbtRZotTBz>f4U{Z1`s{IUPLS zt|`|zxS&Y{AojsN(FOe=c6=az%v>%kjxg;F8uk%pkF zr)TN%OqBlL-c1*3zFl*dw$|e3u-T`O30)D{Ky{6T_=K7o4f!n$=3omxj&g;7ze)ip zg?5$eNsW*U_FG~5q`i0Tb8s3A_HO0RAX6qV{c58A`_A31J|=-$NT|5v>nBM)gPP9| zr~TD070}9MA$&wcJke29J3gV99CJED;?XU`H<87lrvWK4^Rz|jIHhR&rj(>z-d3`kdLA&fh3G zC#1=Hkp3}go8b5a6%P-=#=f>E2OId6@KQBf((H-cTP@q8ouQZ<5;7t~qa2d*30~~} zujeYRqJ^}!rU7Mlm{$N>aE%z@tI6mS#AQ0Qg#0Ds>Ej3yYpKu3Wk?v!Mmk^djHFHQ zd0*g_Vm+!hR_h$zF}NW2#r)oJsX!6=3;S?@q)wfZb|FW)%EK@vq=tw=vn z*_V1$AD-du)OWKWX6=N>aj`7Yw(%OxjY02&eI15EvTKSpo!ZdyVzEyr zRx(a!#Nx@!L?YQ9!!k}nLLy<0;9&x~y%0Ig&&%uS!|WujxL9vE9U@5;6`z6=tJ}HI zCS+l`GGbs3$o{Fmm12paf^{CRw@f<-o1rT~KSpHu_k@K8sFId*_VfsgDBB44k;Gi= zuPo20cC{11xjuHboX6@8*Cf?PS>nO_Z_#lu~rco4rux8tdkBVar{c--iZ<~2U9 zT(_&{PkgUh^*Cxp@nrGZYVL%PAqO{ocJ}HYYeHl5)9xtu_U7d$e2P{|VLo)68Qjt; zMO8Dgy^=CbZ!N8l{L6V&AUr#S>lwZWPMCx2yV3jenA?wb=poUMJhvdB7te<}W;pJHD}^rK|yfQ1Q?>Yg~n4d^~k{g6J$ARrP~x!+)Z{ik(G zvfj)NJUx0vYmdHQz%?*1nfaDI7N_OeX3+kqhBF!(%rv(*Xur5y$EhKqKPkcY6wcb=`)VB0-Fy0IsU!1%Ez8K z$SmWnY}3iGo_^_j)4-yYv#i2}{Vtaw#*m1ER_qH62m|I+Voh;)s;QAArF}Vfso|SHMHFLbS7n+%{j$m>iU5Vfk~ge za(6_mjfU%q%+5$05{g+Q*)W$%K}^pS{A_YMkU_cZ{lo$!v60+80{DWJRedXrQ5m|J zZj!>+%$Q#g?3n&~lbc>GKUl9X$^MGFWpr8cvjqL%{H^W&ocDH;J99-YrFGL=KkJQR z46QRKJNiKh@dB4%5W^AmGi0$;3Z6S?C~zR=8udxA<8YpT{ z1ssw1+!O+U1LpoFy1HaYp{Xcz*!yjuv0H`=MA<&TIPVKQc~A!dr}$V;gwFF~xyyH0 zSUEnb#`XBVizz0i%!h4uwy|ZywdJ7sF{#m*UD9OgD!oq0qcWVYV}l0MS*dt;pYj~_ z&aWvve1C0pd(WD9eo#;lWP33$#!!-7^NQ+!CrdL=zYQ2w)YnxriolG<*24`=V{+0= zf2)ZYIrgq?$Lr{d=Ft@3kFx#77xP&?ml5YgO(d@K(>l@5uG0(x@vu`7&Wb!eo?TX~?(W&WUyn(x70c`lfJ=*>0ob2TI^s1puRpDkKq z_7W6~t9`!M>>$t^qIvHa>hN$)%%xGFq!&p3F9r}vU!X|6hL!}jNPZ1pkfHGNMf(p@ zgQD|)50z9riTP|cqf6SlkajNM;0X;5POgr6ch%mYbM(X=ttPZ940%Y04spHM%Fwq( zJ^_$}_LtyjnGO06bP9!ZP7?i>qc>eSx(+NlnC#p4FJ}}pQL@-$Vp_hV(egLrTRK;@ zuiea?ZvHH}H%zFah7#(EZA*3=n6z_-?vG~}+7?V3a`v53{+^eD|9kB+kl*j@{5m@N z&Yf54HUheGWAz8im*`YNaVnpTFUW$+U#L&q@UXQtB>RM@L|9<8<15!klBh-%r0XeY{+NJS zAprrj6T_!V)2x%GTBYPBrmr?z{#GD}jI8W<6mfD>J=r*_&c)E?=BXC@gY3U+4&bgb z9Mb#htp!YR$!4mJiFw8U?pveh37(EiL&iC`UMs6*4KO zMc?e=-s}t+x`6?>z|Idq(cVA3x37>vSv097YVBCysL&yHf7ZMEL*&9gEEEi|9cWI^ zbNY1WSgf-&dEG(tr7Nn=?Dp|XhRqV(^}WX*kItKP=KjP=qfx&< zJ6SSu?>jMaLzFvkEXgs0+9YuI6X$(&MjZ2AOwt@dV!_|Ae4qSktW9noXJss#xl{bDCHwht8?vPpOdWycTSYx;gTF`ROf)c^%1;2x^xX$$!gO9D<*;Tl0fq3O`|dsxw(~4L64RFQx3wfz&hYwia&R}?A+2?Izvt5B<19W2!7pPf zSf}Gh18t?}rKL0grg_%Fw%|8!Lz_(UbWbdeoNFYNyWDRrbl*(`{-oWS4#~YUJHaLT zAO*}wo3qo07@sd$(0HI4ayr4wKu$s7%ys*0$J(2WYbR(6VXL>?g0KAK2|wA!z9p3q z`KHE#f$laLxem&c1PdoQt|1NEFqL<9m8*VUlW!9WNTPn$h3}vyDSmHz)M~aqmsOqT z{j!HWdHzG8@wWM+na3#}9Z)^&0yN&|Urczjbl#`r4S8k3`O-8m?C&NEn*pg~cOM^v zIYsfgKcoTvIqHDzp%b2P>o5RYN&DP`E)?g=@;zO#e>JE@6_h0Lai@>v<1E6*&raW@ zIJ5nSHRV=WcG=LpR%cw0xkz@A#P^s}^$|hJ)>gsrKc3-NXyoXXy8`=d-^<5b?7F}H zL506G#&9>vw#=6=@4Zy4&(Ib&Ha50-AMgCZ@-W&N>uhOi>RW)x!Gh)a!}Dy?xfdkh z5D3lFq$Kt z=x9uymm%f&a{->R**Jswxz})9YEbIW@m9B)xWIp{+B zb*#`TB8JvNH^92-evnD#7hRICpN=zq_73x9cB#)ti#1r4Uwo3rd^r@6x$}&V0*3yF zWMq;uPwm7dLCsBH6YTj)D|K9gdF+GQ)V^?X-aF=u3O|R{I6I_hU$0o);8YIS9e9g5 zDVT<4{%aUDHSC)j+oH(AwQb$@jN{kRe!Fu=o0-HWSp6<5E@O7$tw0P^g@*Q>0~d|! zWM{s)RHWppoFt|Y=En{nu3(osGI6FTb6ur>F6<+T<<{DStEf3Ux;dTg$uE3~1vVmZ`Vsd$9snJHJ$mq9*LY@XYHFy5 zrOv;;`eNYt)dh@6a4q8^o$czfy?s!5COIN*y`wa9y*eY)eB%a;l$Ph}##>N7JbSJ0 zyCNHrQBxqnGO$o^U980GcyHDLo|*$10oDc*=K`$HAmRAwbo5!L>!tQdPV1-V_C;hJ z5-T?mi~XPxzc%{I3y2he!)9k^0iN_YrwD$vw49s?e~c3szO*5eRg5G=vr3mIC-1NE z)wbHIZCF~XWRrVNtFbp^d7UE>_b*(Pr!!I;e)Eun`#O1)9BDT5=aSJH`swd3p5tlu zPp$SWoydI@xq+t>@nul5^}4zpRpbYWFrSWRsbA77$%yG%$0>oGF^$Ey->CBI0Ec+W z^Rn%~*Rh@Rz?=fZLqgx&+%=L`QjrZUQA$cO%HEsHWQ!YF7yE+=+r$<8{KzSv6f>Va zD=ez&gS(kd2?sS%_fDT1Pgw%%-=ABz+O~eY>WdT{jX6{HmPM2BX{3y!$iqUP;WRFc zx1&YsCgKHL#{`B)6f%c?epIb>lVEy7DV^1p|G$LrN3A(!5ZETgQ)!yxxFm+eQ2ykBK zIurFZpvFsp$08y4G($1v!Q6MW9gS~jIRwogGF2FTTz>eF;!*Hdw*#%5lS}z8*e6(` zxmCyRp#?l*a<`g&J9juc(ihVIOJ8*R)(W-$C17ipfsZx`HlqbJGZ2oEM#JfV1YtHl z_3*ZQF*+i^NW*^?AfCz35W}~w+|-@IzYl@Xc9SN7Vb5u;hA&lw=)_P8+OkM1g2dGd z#oJnI6`AWw_9P`rJM0Nk1n25K)uh$I*B5u5Q>Q%zIc=}`tzv>q1eap}&tg%@G=@u5Or=1_q#ThBje0JZqrVu^V#?VOm0w6{qg==W3u4cO692#9&s z2W`K%1N|6L^;*nQrW#!>n0gQxs4_ggvzTl>V8dVW5WOK`d)1$Ih7rk;DFM_F?)xdG6?Q%LR_|)EQpc&tb35do>*s(kfa}Uj?$MhA z09_I>blwuYyu8xVWvLzMoL;nEw5$}O1a3kC*EavxhC@<|p6j*WB(iyozvaXeJDeJM^xtStnOdl`i!Y8;$ttrh!j)3m+$S-efUXT>_k zmo+?za6gXkF-2=Uqa^w6^2o+coi72zZp04+kbVDG=xG|B$gsZYF{gThfc{~=jP&P7BU7bL9#cti^!gcmivRr6a7KxH*J*e6zRqUD1-4?>~S)O2WYaAtOviTW(8Rjp#+4mC+&zGnE zcJbM8H}L+jQ&WXc%0Zas1ds(kWZtunjNhTe(Y3jMW8~lRA^PnKBUUV+OFMIs63Z3% z-u@?)@;EQ=>`Di?i9n&WC5Q*MWfk@ZF*x)ZPF^39DJ~_eE^}7Te9};B8T2Eh?lz}D z&bua+udJLCGW=m`iiiK5$w*xFq&;heGJtN%aYx;Ztudo6bj1rGg1n85KY>qC(Xvhe zJ17b5Ww6TkC%kgPo7tjZT-8?hjw)N!K?wqBOTj?}tMJLA0n4|9EC}U?~n^xS*%<*8x)A)m!q^gs!pv5 z$;f>=gT0C(DtJ5F&fU8k z+@))G5uFvYG*d{U0nB~)a2?P(_X`n`4P$4~ZU*`hl@bNGiUls;PrEjprY^KkI`KyI z?O?5$LKPIW+aCue=~`b`Q2ZCOrx~NV^QTK_7N$Vd2P7Bql5N&?Wuc-%o7@y`QSTR<7>urbSkC{=L1u zK>8(0DFD_K8uH_GdUr2o8~N!SFLGzvB!{*(J#pHWRdwftsEQvY^Znmd9;(_o7I&U3 zp-@QUg22v>LGe4;S2qsXoU%|3IdIHrgg}%B!tP((Gy-&R<<~C~Oa~PcL=G#5uzdX$ z{h+r8P~m5+Rp*W-tquF(&55Kr&*2t#iP}f)&r&a9*z<2Q9<7Eg%mt(iU3)@Rzk*RzoOnA& zdb^cB+8~0XO=G_jT;-HQW_5&_2^FTDO^3$!fq7RSg?2`ZMBJmIqRWXw48;25#@${w zA*(q5g&jZ0o!E3*oX~%3I)QCQ9986HIF*^QS^Fa!2<`o&rl_eX(X2b&K){!WaUgmV zct_v9Szdkdj+uk_nI0QEf-ygU*u>UW0(tDW*#>3PW?dWYLwu@XsXUN6f1E+FTg-_o zB68U8BwW%Vy5WHr zc&HT>haKSY8t}K!2&N@5>df$@?`-FD)$*(}vW1nLF9pX+{tSrxfyQ ze5ShhEndxJ<*OaXq|eAK!@4DDZehG5X)cINVj|}#@t*&j@PTL7uJNBg5B{Sk-A_np zoRv8XnV$Uo$QpuZuo5q;f{z!dhgc=VTP2sHXf#*}vd5p!c%Gk+#8)|F+mLeu7XeZ+ zztLRACIr$5AA;lSSt;EUYSe|syDrRSh9|I*pS| z%n;3$K{Vp&@n&+a|9jZa2YYH8tvkm=P5tz`A96-2gNMacg^-vgVoAIhwimPVPq1_l;}$|jKR~= z&hh2v<>n6`_Q}a5PYbIL8|s-JG5=$3VKLF1NH$U%%A_T~1Vj6&U;BvcD1clEgYJE% zsHFtyV;IaGIy-7CSD8zv%n0GZ>y2A+c0D%CQd}q3;4^}gwRO_E*CS8%CcP6)Hck=^n*?N zG*$%pD)jS=CD9-zVCIl2kji1F{b*fL zqy^z-h%wFbO>lwCnnwHJ5sX8y6O*ieqD`{1SM%jwmvR%q*vT^+K#ikyn>jl&qO>4+ zBl}+kovi5=5dwWMhpC39CcG1IhcxYHM)a+MsKBn@xPePT*?OmWD%7nzpPuLx0!L&M z`V@fU7=gh5<;xqOO2NiBOiv^@ZW~7@5@Ucj6OX*5sqZtG@9pd=yne(?{JU=?7Zz`5 zfGtYC-d#czpbUa9i7#8VnhTx6TGhLgb>_ba%NlEYwv}UKt@pRuUHU;|{=yC*HIQln z7>;)5mAMa1O-C-|nG=hFouR4%J14y*q@`Cu|I~Qc+cH}f0Oa)0%OGP#@JzV4xIk>; zj}bn6_?($--(>g!(0u-R^AIz`i_wn^WA5G!xcCOSo4n`TAoQ(DVU)hMcB5rurjkCj zEfv&LaNJ?xBwjtlsBC{hP0gT2`J5u|WqJ8ybl+d>5;N%s4YjlL$qN@Ij+e8?@vVdLdWOnIa>$?phdsDyn}`Ysp5P18=Ue>1zJR1^NxDZvWI#` zbkn=pgqhBBGed}mzfXzn>G(c5`3HDL@bks@KVKZ&gBUOaWe$u4F|KZHYrAG^d+f%d zu>_;L$)P?^p|rBx=u1c$F=#QLq~m2d9t*w|PUz1G%3uCWXJ zqQt^WG!29Jr$;|FHTeNS4D@w22>azi5P@UPn1(~WuftXl6JXfl!hH7d87dq+xAJ3u6-vJ!vKjFE~r_Ie8go9W!oT_WNvrq#;KaHqi z4GabVEA^j5`D*WEWQ`4PQI?6V6kVZx{+z&zAeiaQwvCVdRAW`RFri!>=s>a4@_*}) zS7SS8zxr_}wB7#27o`7(opfuQ@_6=t1%?`gQ4pfH)p=%P!H74vvieWxxkJ<;%vj|P z)sLy39O9}#Mv$*a`^XveRI&CEWe1TU#x{L7YCddCAjH`*9NJm^^X-1PiDl~NK)^;a ztbYo(@2;>q3?bHJ%3i-dsirpNt;fp%!)kqDX1k%cj;00{A9jXa=t}9&Q~h=`a9!!U z@8aX`woAZ!yt60ceAcV=^L9`WO48n5eFA8at*xy?9@B-rQ7q{EJ&0Z*!Qzr&+8ff7 zDCNNJE#mkV#~WG*SMj`{kagb>#(9FtBT#Od8c#D$QSen#luleCNcW@U7zyK>>^iV)8YGkxB zTmsR9kf^9@j*cGA&N?D-uU@^v^BK=#`1icW4wvxty%jt-JnO;@K;s^{k8&U#F=B~for?5NEGZ#$WoVP0JZy(@A>sIa>-(s#w zJp*cLrUrMq-O1wR-GiSys z^A-7ONqf4x3F;J%7eDJ=8MEhdq=*ieFz^wg*#0!*0)fQLOs|sZ5cvr32jaX{Y=npC z=AYzwl`At$9<88RK|U1fpgFajMvS$3%h7kKG~DD;cU%E}Ot326CZu`6Z) zs7lo6b>PYCreC1FFzm7T>eY|WyC)p-j$X>s_x${}qQW@i+%Z{Mj(#i1Pq=>kI6B=a z<9gM`rXYHye0UbAa*TR6{&%JXeE0mX-5Y^N>)sT1cXzYSf&Bk^C{l@+A*>Fs(cAc0 z&&mBuHQ~RcmZl*Gu+bkmXOOe+Yxmg=!^Xm{sFLfE*$*B(;8xtd-0uspfkNtw^_w{? zc5lbnP|xMQt6KRY3&{(Gh(2(whu`{bsnE-Ro1T^he+>7St%A9q-xe~c!?WNc$;!(Q z8UI!wii~y>4QM*nZt(}PHodMMeYnM~Vvv|Rsjf(=M|yZ;%Q!$Vkn6O6su73v*7WiX zFXvyW=zabQO1!ARSH&2*Ki`I2o9^f7_CwOekVP#_KiVAyzV%a<^8oc=I7pgl-A(#Ri z>CE!UkrAh+1Eo%^Z3JkKCd&`qfE~S*_I2Y_5Ug+->>Me{$(`J3R=|QNY)b^sM_*SX zUiSKLfps@esQo1I{|W~#94^_mjvy@t-MO>ueh|FQh=_=!hY+nIl^-Gq z=;-L&96A$4q|*SxP(C>^v73YAb6*57xPbrJIRamvX#QXtuMz+liKEa9fd+5*o81e- z2VfzXk@OH|=SZN{hRSE0NmYWa)SP$(!W;7NPYY10e(L=O!WzKvxiZ-d zzbY>Nv4hhh7b=wt<1HJTzf`Cvdr|y=r?$5L(A>DZ?5`2~8G@6n?;4|Lf@9xLk~YHD z-w8#e`lc-@P4N~>c7y~uHpLCgiWH{bSwg8kF2E|JlFAEmoE-gzsnI->V`_K}+3*sd z8I2S2S|WLK}70NF-?KsS-<2c^(r zw)cx<%q;bS7mK)q-i`HHSLuRQFf5XFbgW?nO5}^>vA{ z1bq5H;oLCKMiFRx`*bsBKD~kzSs%x>%0fh0DyHZ8ka}foTY) zcSkw1?A{Gv8Z@=8G#UBN5nTGYxf;9-LAP&rc)n0TRfB9K);RCYSfs3*!AZd&OkPxak86-bhq}3D z`a%mg=Qzs1ru*TX#E#qK%Lc|zplMfxJ;$tD`tsf9Y(r1}L!C^1Eb1_->z7y-CBxWn z)Kv=#185`aziVr2t4>D?3MnU0g}8&QXg?6cGCnqOZ`ou$M7zKX0q!jcwiIS&Bf!I^ z#Km1nmE5(BuRhMVsMA%jv!$f#lHUo<9grQZxj}QEas6J9i4~0{$yXUA1C!17Pqd;n zEFm@g6OA;~H*dh5L0=U`V9GI9D-=LsyAIqKy}esvzheUX>$QF2G`E#?ppoLvT%v}; zL#)HW_DOnrVnwTu!lmKA%uVk^*IM0~gBHW5mX_}T1b~nJQUh965TKidU=62?o3JYg z%S*W6ky1k32UR0*LCq%$f*3de!c11XGvM*usO#pYk8xLup|EFn@MBhgQuBS`Z}sn- zFKXy+1Hr5W3Uz=(p=4FW#fp?$QqsLXoQ-Hf2tyFi3v?EO_~K44rRZFZNX`matP+5f z#r{@?bYU^ElD~B~=F}a z!sIi33C$0W9)zgdvu8h`V>t|lAljl~cke)oT%y;uEZjuHrPx~*GuZKgDBr*iHst5DA)_t$M5z@~Nk7hy*Kjb?cclqBo^s6v-HVJrT@D10c>4)O9< zLocsnL4oiOh%XT9IkxZz`jH!7n2C+-9HQ!>uTWTaFMZ)Iq~*+rc-+3LqY#AHRP^@b z-hEDbk#N&FP=%t zw6VL?l2iGMT#kfA-z1VEfWl*CrNQUnK}E4+RvsSKm)e4(hOa^BWVyv>wR6tf`eG`8 zd%4E1aJSvPIR&71vck=Z;NS+@gO$8yw+Uvu!V?!O-KYH~+~}#RljqE)oN5fts(#Tw zbmf)hh9NuPjUZuw9O;2Y756OVn+~S8idnMYL}Z+K330u^Yho(B^ra$0(KfqQgpz12 zH|9@+M~HKa%L|sP7t5UZym@Slj0U)+bjS#gDeEe;0B{V(QMWC()=f~Fi5t)iFqlIw2J8`G<*qImud z<)GhTz4w;L=+GGF7?8X5Jo<3!%hFP?B0CcvjPD7W&T8Bz`D5GwXoT({a+Z9F^Kt~G^R0Re z8Xx+y&mJ2P(D5>msq3OOt?W-RN|28E=JMzwx&N8jAHT2P6?oFrJ!d2%=mv$qJRbfh z(AQ_%IsxUF3dO-ryH|iQsNWcW06)y8?`6snJ*(rlF1|3x>G`qgl=JjyZGAmuUTQ_O zx&Z1M3-ijs!9lxYw#brxY|8bZr`bG90?DfAB{G70M?mYvEGbpDJ2Jm}*KD2FJudLy zQ@2^R_q|Bse^vcP{w{^qZHRg-u0qbxu+z%ZPhYBmOQjnIY=f#be1g+dc|4BUdLqbS z!N^Oa6{knlf@Rbi5``@5&=A*(4+$Y5bBEiqcar*FLHRZ**4z-AY68u+(b*G(DKn0a zj0%T8BdJd(bo9{Zt+xY*MKrP|d;-*WDAh6;)|C3JC-d*1q?YFc{Md~iB|^*qP+GPG0Ow7|G`UaqoVy@x3oklqAc`W0F3P zrDpw7byQ_$RS%?e_O>Tnlo$Lc@LRw|fJWdnO9gkV|Fs2jn3x2K9k(wwc0e1a{d@== z6E(jZ%abR4(?vx^xAT?lCD_mE=)~Z^oQ0%X`(6S;DPrbXF_)JTFrwf* zed<)lv~z@;3Ui+>TH27M=pO>akwTQ4&`j;!*2gy0I2#kCJ*;7OQq{xbQ@^2O6rCBl z{j`uqqlm^f$JL$NU;0W1=kh4v;JMi6S=JLedxHFE zQG<8yjTFg8pNjDH-KD{{zQtj;)DnlbkKc#N<)sN*`G1T2b9^^xuid8z%;jlKRPK$6 zh&YS!V-fU}a`Wn3hc-X|;h^AD0p)3`presL24t@Jq>A~e<9KHeos976xT<>d99$K<`{9N41^Xel0ULLZ#pW&;Inxk=>oKIx}@(>->Q#6M{x0d9E0V9JGmXJlSA zt1Hj+^)iuV{QKKBMko{kSV#q;Cgo;7sZv!?I~|*?gg}!(8&!AZG5L{i1;g!}T;kWv z>B}kRWyT(?Rrl4n@b1al@Vj{f9v4o0$&ZJ+(f5Rjp3~StT(Si#Gqq^#DDE2|Hcuw z0Hg7#M=$tY1{d3s=TtAbx@Zvg6s32XohI(C{BzIRzb9a8lM|O>A2SV6DlUg83|n2T zL{Co-wGg)hoX_@7XPu)Ck@mf~2djZ|mVwDAaU)}27#JH@zZ}$@cKyw;k z&e?ZmMnJqQB_-wU+qWRH##}w3d!tH0R`$XVky^F%4v5Qa!=Jajas`n*V~i8!!BNxEz*Yv=#oEpeN# zc0VGH9f_cMv;sjFV=EM1u-av$Xyv)i{qIomXmY}11*#=PVH(MMc%?+=6bze#@@WaG z@1y3*yY}#Z6#8?P#_n53|FNMo(+4>mhk+-ig5|67jzmXz8UMRhU z#;lPd@O698rNnh46yJ1PjEqeUZ(sZAs2=O1YPi^Vuo9#)<@NGDaI z?p=6gy@B4?`%g)UnsG@-uZijT#AygF{Q7nI!FQK(Ga+k8Et-A9y#bP6yvz z-_1W0(b3Vs;xfcUM6{r9@$mlr?jmcgv@>J`#;?zp79^`aHcu*q?7W~$Lwu0C5$o^d zF9ju7li+%B^DE2fu|qoBzA^gWt%sXV{Y4*ook;S>2-8w}dOK^1#L=*X^P8iXQ;z4A!h$K)AYDm2!@xH< z+hc}uld*!Fzz{c)x?DKBErsv*o+oqN$Bnmowb+&pKGo*Gr~Quq)60aAkkjni!v6bg z&-CS<%Gxu1f!R0|uO)6t5y;_0iD@SPw zkAKlTdh@~PiMXnsD%af~pV!{LM^1XQ-Shg>?5#OMW@EtJz#mqJDW)6O*k4`IEfi%E z`?l-_A(TvvF#*DnIkyNJBy)ev z)0Xxivvkr-)AqV?gBTC~cdJ2)+zt9w6?g0HI-j0`$qmX+IHjP+J32QfW-s5kMnX8m zGZE^hs@i?$*_*!VH>WMns;Y*nW^?vY@CuhKxjrNf%2Rc+k*6lUU!)<#t80Q7ygDp5 zFcZROn`xcjsN+EbVL?azzDDzs9c z-?d{|?|O&d?-}mre(q;xm-xapGP(xX#ZP_8_w4sjQ1?$cTmM5N>^9SLdfMi0Pnb2&V8fR-6IgXFNNK zSs6!O-n}~hn(g+IwDt1j22J5Ok5q?G_YUj}T1L|FlX!M{|F647Eb>rY*$A1yw_#ET z#B^o3m+Q)sNM_q&uZ^bN_8I+j>u(ezJwBDit%wK8RjBz`+02CFsZ^lL@Kh0xa40n+jGd_YmQRyQ zyb^v{)5YK?WejwV4yTZ;ESsZ|Q(__`wM|XCpf4a8S!a^B+oqFeeIPZvk}~nc7p^(- z>io8SH?s~jk4uOhQq?Alg?m`}O1)n4aJ7Wn%0EvLW(j~ybaeFEfQNN;8OgnmAD@|n zgk_&XnbJQ;TRs19PP$-HS?=Xqz-Jc>a`PnG!Pa`(NnXO-Ba&siaL*5%no8d{9dn{q9>_ZSNxG=BTn^WJr`!G4?p_n#=@XMlYXJ8Q$@i0y+%og%3C zVl;Lv%v@vL0|_@0^O7u@>VJaJ-!UnSDxTzC)uS#I2QSf>b1>?LdN5~+8{+DC{>RlV z-c7>!;pqN0bFsI0+#PRDRwV0mNWG>SEL01kBK0LKT8Q6wXXBg$HV!Too zx`5>xdRxe58?o+=um9!fe+6g1%-+JSnBMI?rmyITg6{F&1IYH!FedHsBPwLi^CRoy zPBW+Xj5D<=b^8700;uK)+m{w4j<^p|?(!|1567QR=#TR;T87C|m`R>MjvBheQySF$1J_;HcsTF6*{-^r=60k+ zRY}ApM=1G@F%%(7K`w&YP@^v;@OS=rz@^+UOZ$ZUx0L1_`kcyxmtT~`A*dSy+s)EiDR0g+y~SXF^PV@*>hkw=nZT}Rhn5q4`WbX z^Xy38y=92b{-Ekw-^goQ?#IWqxUaHtNZRpWJq>ATwZ!)YQwDG%F794=&lY)&AK4fa@BgAjX8Tyy}RtLt(B8MS$6mrm+57lW5 z!`sHq-2fC1j07~J0>(noeG{0Mt>rQp4owVXm-Unp5Xb`lg3`m4prEdza}aK8iHFw3 z#c{J}Oum{NzBoQW$Zi2xJ*uo6D`ugtsQ45Ghm4A|cf5(JBoKj>8h7mi;SN z%5V5GpGL3^)GbU;o$AMol4w%^;V3bPc40OJq*JX?Bp|Qfvc(;oQ(UQL*9-`7cyN0d zA<%CL@;^Xo^1Fow(u9^Fh=Z)6rIiI&8w!X5hGkI{JVte-EoiYSoYeT@$T#%*{x{GC z0?fg1C8Q>mm6btd4H!i2ssoj31qFo+?TC~%k-V!81FH+RCFQ@oWHFa(UwWt|{<_1V zS6@k0)BoWp{Oz%bPb)7P->T6cUub4zRPS1CuqZH5?+w>t9pB8zSS^UE*U9s*@?^r(4lJdfjo)yI?aGCka&u+I~ zB|dHz?>;y-rb14(&9J7~GrKN$JI>IUI;$pjjN}z!e_8S9QAZ3J-eI{Kgjn3!dmhCR z@$qAyKII74(mp)O6gKG%AP1oE=bfEv_nkCSP`G;grbkj;q;GbOrqrJ1 z@SVx6-xBvcl-4ODeTVoXRQM`w`{ZE&P|UNu*#7OMgbzmY-J0*+dJ5ts=x9^R+8_hU zO8eKw^_og9J>)R4ZCpva9m*x<4n28BlH(ZM`-iWtk*dR78}7yA#K`G}_^n%qdBhGxD<}Zqcm9}Tb(M3dj6NbV?75@mt*yG7 z=e`LRwh!{v53M$euAdgVQBnhhCrs&1@jHL};@!da%n_5P#YCd%B7fMfc6MFjr6}b( zWsTi{q2g_Kj%?uL%Rr?HLkpG0ZPFf-IJbq>#{RiOKB-7I)+m2LX`Zi2#uZ5^yMYhXe$m z=kojDtq_Mjuc1MYl1|6HxRkttf^uwGWQ?fo4bT)kHNJhQo<$cH2&CYQSXnHb_QKtrMH^2f-Z~w{|dT`2n*vvd>?l08h}FI z?4=~qrc~BA6K2DdR^s_S=<^f$ud$HTr{=&N?_P$p)i#?YS}h@6>I=^MFN=W`B`%>} zt9JSWKNY%~iZ1@QrHkNXwfWqC?AFDVwcwpeBri!KhN#H**tS+tfZ?Fxe@m}c-9>y) z`fP)$!nI+3%s1-bK-~;&I?aY4??)Wo27aX(8>;cS&0|V;zWQ!3M7dt!&K8uoiSjd8 z)96#j-(ctp`hj%1IWXl2ZUAl?TIP^BK^YkXwAf}xAtZwiYDhZNrI*G*oOZ1ue z4nXupAN&h^%#|JIlLD4f+$?{laM)!ydK)FFiEnnJRh6Y9t-y}C+_!h+kYHqfk?gCk zt`qVrR{zRl{{i1fRVy&plW1bHFl}{G{fKO_@LX>LKSGjT%+etJb`j}oZBAk?5?O|L__nKY);`&g= z02xr*T@4tHz=@w-Y-$;;7z_+nmmR2~D1DB&uC=WGK{IClcD4Gf>D`@=x+HS?o%_EZ-5A&M+ti=K_ zvVhq$Mqt*KgD1%ga;pyDSOiN`3JM(WcrRPFtPDgzob4uIBN8LVLc2oPgB@kA%gbqB zjcn|N>}<6+4P=uMfiypRW;xV+2Yd-gT9}z#0q=PbY}|IJN1#OjQAOr3bgDYE+?vo@ z3jqMM_1bsM=mP%2=C^XuPH8bHyKootIg;tY1cCQsT6OR!E9hKcleJA`MntqihJ4si zfE2~=7Q0RvLsTGz?|C!T#@gEQ`(8mMWZ$?j6eI4Wq|DCFwtv04WH{*Q%zo68cq5)w zS1%#nx_ukevbXUqkvPgBf+0@8W_W0k~2* z=Cf&Pu5bBfOg?zc6BDqO4g#zos$K8WSw>PLU=g=7bH}lc z)xK1=RjvG=*|L{zXHiJDAyerJjrW6x5BMFcyDr~uOb5J?D+y8zoTc_3Q~=`xbl0Ec zoyPqGn1zBfJ5I$05FX;7QlN`4)49FdA$?MKHRrgdCIKh{%Np}oK_WH0fi;+Jn7J#r z7@;iYQ2|~I#a*=ZFDl%{98wz(Minyg@o;%(X8C5n^@MUp>s95&U~I%=O`J+?vdoA> zDdNiR_woBnsttplB}{Hr!3}YWihG_}Bbz+pX${^hHjG<=i>NQ4=mFSqRY)(H(XZrs_pd5Jwdv zEH2SEbgV^}{nWv%%uMXUE!fXCylY5aZ$6(_S$tCen+x^&zH#4;uj4~gHi;v`TH4xT zrkWG^hSt5ToFCanWcrfibIu zn%~^)IyE!10fM9nj&2$1<_H8cOK<55=15NNC3)>Uuvqf?4W|8LgsOfV-X`Xl-guA{ ziS`q0@M@#f3mQ>GEe3R0OXtwT+aU6QMKObO2@DF_vUxLPz|d=7Xx;Jk0j-c`=QM7L zilQP&M=FSP<>accXQMY(Q=VYJ2@)WJas986fPlhKB5yZr`CBk2{xYm^&@pF9#fOf*X-Ey-@F}Hqh*2hagig5 z$0mkbgD8g3NQDs4!9#~o4Jn6hL34rY)F|d`!Bz=bF-)InzKDWZv|%M-xM2 zw{4pkX@Bwj`9~1Llqst6@=NVIE`XehXk!oTGgQ7Y$cq^9jEXYc6u4O|sh3s zQI@unId{@xki{69mGu$4g-TFiQO<#Vldx#M4H_<#T0Mt>@-wbp59(|)-(mVWhfCiCE z1$r95jw-rtp4@bDhSbE7bcu=vuG;Rx@%=qNi0f|r)`u`E%c4`oTo^t4fR2IueNLRJ z`#9|2ivXMkQp)G0B0*2$?5l_ZQ1-^t6nwsh6q z>i4YpAgSLAbvnq#eF?a60t*4y7!hBgO$JXB|Ke3{3n4zHbm!UAr;PX*GCqW1@;Xb1 z4+r}Kl59!W;(M23i)A6aPK@M_=_?SVCF-sqhP*-h4{;)zyk9m%*aMMKcr1#~d95HU zATsAGKQOo}G&9rZNO zFK#O$qPuoQ8%5OL_|+dZRWyDCUS*f9fUN|E0;AX|p>p(SISOnz*cA=p*2sP2|KgW} zxQ2m6H~~)=Vl9{wgTZmKvVh#glN913xMi|4(5a-Xq?dIxSN3ShW zvqeOP5UO=d#Q1?v<^0bWWToC;RxQU@re4}!p=OwCR1Fu47)))*{s9rCsNVdES|8h9 zr}`D9|BA|O<&02j%{f^Ka)Y*h^v#<{79T*Q8;ufbiN{uGEnLkO-TtDBczR$_YE`lq z=H&$j2a9*U@A#u~@Q<;>yhdeZx|VNu3k%1ZZq*`)Lga&vw}3$yxJ{C_2^{Ay5x0Nx zR6y2E1QDp8>CA$Tnu72rScCdsZ#iHcHW{}l3Kj?6aXx-(GBiiumjB}vP zW2TdDqbXu=lCgAa{4HBvt{P1CiasY7|jz$6J!ZC`}#L8+G zI^bt}E6V$4kk$Z@BHGYX=>9qKLY-mJPl2qyEy=Ll1x7HdSwke+8rvIblF-hbx~SB` z-TLsX!NC($_$Ru`fEt~wa04y;BPO%Kxa~z>6M_qHCWG6)ZN&jef7CG+k6*tL#opAZ z4g?wHuw~>4+#e|KvJ{Bms9rNz`3#KEu)y3Xq^k^U(#6Oy5uSth0p^MMUG9HDRCc$Ywb?RwqjwJ_I%j5WU&tR4{W@^)=1Mt6Vzfg zX9t>?DcL704O^&jqueH2bpp&0sbK)eEP7nJ?n@>a^^Jvg;Sjl1M_9{xigsJV6@;+wAd0fq#8usJ3n8j8l=oz&xZ3n)idD zHwcX~Mq#3Kz1lTEfycVbTeBQItW%``*;_ zmc12oxQ`34Mm{!#YTTX(3aDeu%*<0*w1LG-9MBF?BVO$KE!)@s01PyHvPxWflewMc z^@s?^6m4YgneTPEMe?{|+i}9{W;WZ(of2k=uV8xFg71(3JrbagULi7>;txS5^s)+5 zQ&)U*JAWigyY9VR_xPi&<%T)h8RuVYC=%NQqBs56_kMsX*BQsYTlSQFM@U#+RyOUC z=!e;6ERYaF=h`cA?Asqu#5S-HEjN_4YRiN_*3lEHaMr~@1JL5M3shfMddf;jY}gQl zQ+}!PmxS!JW41)(mFN3JVL7ctCbB^L#pCA5&?MjP3>PFdb1XS`h#; zW2PQc`W57{iJxi&eC6Q`cfj|)9T_>%qSM_djP5%GsDyW4#KGHvxK3bRGKoa4lJDig zz>CA5h5XMKZTMy4epjm4ZHsgah%yQVw&M#s2R zk3~Tz#$ghrNlXznG!*=I_7#1yWqJ^z9uPhG;i3lRiIcE2Nd&(RYu+a}Q5a(mr^(N= zK>0;W6%H3OF){Jrfjs`j#65C|V2#{SfB){?3RIP0>;@-Y5;KTncsWSD zp`j<&1CP_-Sr57qaoNA@Ap{gLUv9A!MuiV?tiEvM5P1SqKv?ESPQh%TVt>j-sKJ)!17OPUPc%VfgRgX9v#6f1Vu? zDiM`75@`)hnHo3eFxqRsEL;mfRrNGYT>j(d&yRv@gW9IsUr$ZIE0BLOlNJQxtv>~z zrH|k;d^kY?FcR)l;%tooYD$`#KDW=D1uFfooGXwRv3ZzFWmPAU;nErqE38W6&D+f< z;e94?Z(io@2cf$y=Oh%6E$>|;3qkXRgX0a~i-ei)RyXbsAf--8a`oo9-n*>5Jb{z8PS>OOwj1QF1EOprxOK%=i_a?21% zR+#p*(_w3Cqq&$#dZapa0pu`(xyE|ctH?g z9GF^pcJ9R7pa2WQ??0!%oJJhKuB@rrNLbo!x>1bgUT!Yds=~p8D-E8^ulPD}=)t!W zd+Khhr=k0UFHS|L4qC&CmIa;5=0{8`CS1zFThh*8!X=)!v%|o=S}obls3<{qL4b#6 z4StQNa3>!hxK#2RIC({)fde?X%{wDl9s+Ca5&K5Q)VdgUuCC(qASa4d3n~EjM$$pJ z7hECq48vuw0C8D`cMvbWg)G30qD|oIb3;vU*@5=} z3XpfhbS#A;o5RWX4)`s+oe&00tih##9kR{ZsAxqFQZdyDvSjlh5T^E}2< zQXLEo0zxEGNq8!F5t)p4{xhjqbs2QH#A-D_K97&j?cg%AdXxDcY)x=)6EjldE#i0i zVc8Jm$3V-d(Q})kooqnnMq{bGjvBp&j0N|J7%X=b9vZbYU-b0!h|N2&L_ahVUSZ(v z3r_Jg(>uVJJfJ-1=dZ&Os}|yAx7C(H)4Lg#|BX)^&o_9eRd+{!{gnH(P212=g}i%r z^7Lfx(|9qFzE1Q*f!ldBKjd8Aj^{?g;n%OKi@D1n`H4tVb((xfAN*%yI=;1AH2*H|2WS7uRjkV^}l_~#l`jB?tA_V z8Q1=YD--K>og-Q&B+eP$iIA+J2cAmEs6(?BYaDD4H;nE3a1n;4JnR<`yOmQ_a1&R>KMzNIW*9Me< zy7j}tR$FaWGtejzG3e(S?MJ(jiOD-)LpZHkXO4Bzz-zvxL5l89*YoCKlCT^14GTYV=HB%E4;F6}m zs_PH1vc?$K_(2-y+yiaXtEhlG0u9rUpA9$Abjq(U{#(FUTXF+gm(DsO!VLmY^Pb_N?Ij z-)GY}vnw5d_gXcSo?nS0QRj_Fhe$wiQvEdyokaIN)YpNb6cY~&oebB)!cg02kml#* zg=+l)IXSPQB8dje8n7u)_=}d(0blbtvN-eup1k;;>4A{tTl0cW+;@QNL`ARPCARf( zF)}{@O(0$%AwW!V=n6|{T-;H~g;*pBz=|47$eK`n!87eo-rIRsS7rJ?uGu*7(3f_D z%hc#aaJP{(96xd5ZRT!uoD)z5pob$kqVwph(9c1glEjGaf`Ul^dFmGX8Z5md!ov}W z6$6ZblLD<3mmmX#Y~A>k{8e}+981mTSRyhq_!ybiug|qYj1Fl-p7jryw)0BX5F}Jw zN(2U+u(RL9b8-0C8G$8ggXTDNFXMJ)W&$ca@1xPV0!oksrQz;rfApW+Nx@&$Lmr~I zcpA?R_@PMjD9T00K|DntAtK(z1xqGDW)eSfCSfkR(@|85@85TAeIeW^j4uy`lqfT^ z6JSn)T#R*#CsdDn=+}X5g~CGzk2{bv^e2yXFywe@8&FcDRw*j8%7aYKGV0ySF<9|VI1 zDHl>XV|YoQlP?v}qa$v=f7JoONLLq^sgd@OiL@aOQ_qRXvC9L;_+! z_Ze0kWc+(aCS9gjW%coD=%@>dipbDslc49~$IS`p+6TcxrlwKM~iG6R z4x^CAN1qynDBfShCxC2goOpywKl)PR7)3Bt|`S5GXo z&A$Q*QB>(gL2)qqj^61krx=tJF(Puiuy7;pC$!d(#sMk9-Zd2PZ?!By#)>67`T28h zQ4z!H)zDMvLFv@2sE_scw=+>Cev({p*}^QtYoyhh@SviC;V}$`(vp&rQ2NlCZEJt_ zY#6sMC(7(mDJH9<>$$)c-ASmz*^eL4TT7Sv#7OQSHI=0r!H>X;JMn7uIy&!aOtKK$ zM9&CI1=^b--BZh5|3XF=*!8I+zxMU(xQkOTIiq03y=XWtji?k!;M7jE+f+P5-p@M6 zrN{iwh5fqyVaIx3Yz5F`TnJSy;rs!#UxIs0Mn@>dq@<78LH)oi5^-rRAIMy)W^iF9 zt*q{>DZfolW|bZR zVP$r5b|7+_3%+dpSf>Guf-`{84_UnxE!y_Ud z@k{RAD@qHuW5n$8ZOov>5WEvkPB;y-6S2}4ujv|9wq(B}L@+S%`smSuyazF7*o=uM zO6XWKCIF9@Q}&>>-u#Ca{cIoZk?5melR!-C-8hz zDO8F`BqI+X6JSEU;0G6P7j6BhsN=)#d?R6&D28n)@NbS>F?s3l&uqzFjGe~`wnWPi zQSpn4Gm9#xH-({1KgEb&#~g~iyixQvE$<~Um~=yp2j*ZE-oUp zh>OwB=_nnpo>m5`rJr!w7q;8d#>PNAe7)o!CvkRqVH=B%V{O1i`sv0) zNaTJ6qO5GKc{j4T(%J7{U$Tt|#;~ZFf^Ev0=-?%H3g^oJWinuUR0_veq&fvs{HUe6FlmZ2Q zq!`$FptwKJM3L+%)-fUz-60M{1eh?UsHDWnxp(jVB~;X?ia{|Hb=K3c1PHgu1Zxo_ zr1Voh4{^`&DS}G)q_#E%Hv!(c;n}lJVBw-^N1>wyB{bhO%EM5p6JQq`(#N)<=ZTZa)Y6eSWV=fmOfO zWLTBQasz=9{jt8jCKPc{m|4vx{pwkI;hUx2)w!PYKXF#^aLsqrF>N6sApzjJM6a7D z2S-A3x!9)X;EQ+wP6QN-a2O>G^vE!BDU?k#ABi$eUh?-kIk^9iOmfXQ-NKzk=%x4n zmH-*aBLWAF1{_4bEcB0}4Gs|jY+SHs1Qwv;wrg13;y;fqejWE}q_)CR$SgAN5fzly zA&1NB7jrtJ1*6gewZ0iRNjUC6K7f_DBp=?iwcgcG&CG1I^j!dmNTfGI#HMUPey~AR z^#z7r`Wl4Yyy*!f9BuMi-TZ$Lcg196;tf81_)r9>8$j>u%na(+KnzHr{}mSDM$&RP>)pu>;kEdB7Ep5 z(aX;!V)6to3;7E)^IA|5L&hSDz!EMAcrHfyn(cN)z)@CSF0mMpVJhJp6mzrds^Nt! z&zva&Q2`q15IxJjecJ?=$L>DSgd`31#Rs3#7ENrbY(TZqno??#*L)y_G6>~#W#xM0 zUbA4a+)-B~*B3|;s+Opm!B0ak4h1imp!-Eg_M*6BOO*Z@B=Mbl93&Xl@L5|{@8ht3@ZhZ z&nlF~I?m)^bWco77w%Z?{2;imU<5+wIf|YbV6i;e{-KP6v-1v4xMAtdqGoii^u7TK<%xnW*~rB819__bE?({L!t$rK>(_B_%LQsZ@_ANl>)3;fec&fH!sA) zlWHi0CXlCs(DS)T!PB|vV#}8?Ki2_u;dVT05Jr&qrnd}%RO13SqVS`UL^|d4`OW^P zvK7d0OGmNF)|k!0fCL)8Ok!i%AG?-7bR%3^TT+$TuAphB<7TZ>V42>s(!BClOj&)GyG z@z)|MlYoeo*+t}QU_lm~tAv-sV_L^JUh?SiW4{a~knTh9T##m4j#*D9j)js`D~52P1xEfXO-*bL+8K=sp)2PEP`Pc zKV!vl%4}Z(SyNxX3@JVuC4pJ)m6XJ~oPvY{Qc}rZ2f?jFa3ljwVGs|1dA)vJj%XKa zJOAChuU!?Q4G{$EC}=nEXZ<-bZf{-O`8<8AQ1oQ!{w> zlP>#om~Lzk-Ez#k+IFaU`|hs0*O1aiUcYXqm3VPi%aU@Zk9tRM4fXfuA?nF~mM;bm z;xz2eNA8%dz?xUhHD~!1i5M%7;(D!e(sUlt|L46`A2`w&0@LRawm}8x5nJMQZyoD77CJxA`Pp9JM|kQ`Dx;#Nle8b8t2~3Yp&wdh{a+zh zk!g_+cPY|^&N<9LxBuDa&eV zU;sK<0pw9WyqOW&b6|glg{^uX+Ce{vT?9r_^chUs+o2qVF>Fcrjh~NCt}6lN#%h{h ztv@SAPhEqE7$^M9`VAztFkhHB9v-^&{V9|R-rbhBH*uo60grWz=T&7km%^3fphm#t zAj^DpV2hNUPuMB}`bBKgXd6=c!N$b;z0;`MTUG{Rcf^BcpMMk-BORf+Y8rOoTFg(s zk9+;-8kmzb0~(+-oJIuts2rJ0jl(K1rf@$yCc!Ebs+i`quYv`Q&)|H1^&)+$VGf2o zb9JpoX~Fm=uaMBm61(l=;aE%xxBAjm#!neiJ(KQA)7W8F3&03-vG1xH6x&umdgOZ% zj4KWORtv*=D>?8&O-#1sw?h{oFF(H{1zFYnWRB-9RWKSX3iPsv?`>WTBD}ubPD#O1 z6aDn2V?>M(HL+z~>S=RrF+jk91G-~9gA(pJJd#%=iXm?$!};KA8^r?;*D4r+wxgj% zBzSh7p7VNFEwY%L1+ZmQmA_I{fOCL3@B&o<67R1F=!zxWV||x1kXEJMJ_4Z` z)qwCt|Xdq=7bJpY7gS-6GqwEt~hS2U8 zJqZXVv$P$9+oR7!^6RSC-ZTiWH1j&_B2YK;2CmlL_rY(TMifdIfUnh_ zNA0?Wx5yKys)P5RH*)025wzrJnOy`+A4CfAEqy?yzzsv)*3s=Cw!?tyxnKnikmVey zoMu={^c%9v+`fy5CMqL%0Em$>_Q>NzgNIw5@_K8O&G6qG^4@VmJZ%EwGG^m=ON35;`8yb+n8Hz^*%M3eB4?Tgd8u?Y5!! zTSVSjP%LW&r4sg8r2uMB! zZY&o!9(%u2NN652IeGU@;<{lKMeAS{jM`6Ddc^4xy%GhrS11%CnI8R0kJqT06;R(5 ziChvK5Ksb07jOI1vuaOz>18>=fY*z#s#+13gme(eL_jJI(%Mi>LubFSvA_S6Sv80z zou{EeIG{QPBGs-Y*YcI_9UxecNXL@^ng4ZhFDyzOFbr_>z|!-ffOm{oM(3ko{cD;l zAjjwgTcsV;)7vC^=n5_y<{gjs__1T30k97`L^HWQfI_QQH;z zQY8APm$sI=dXjn?kY2=k51B>5J(!t$$7wo41={W&vpM*VNtZcP)TtTRMu&zhz=eT) z3Ip2@peXGb)aOO#mcYhr%l`>GkUbS8B_(CO54`cz_7H|&+mwVJzT?MP#<@M3k`7vX zd_W{<)#*F8S;VNyi@NL-hAhFGX3XtI3xvnlr#tq@p=AFqp98sr^BN8-ber4N|{wf6>T&%~gMMeGeYJ2as%J=foA9rnW zk}y&A1Q+ew$F4(UWQNfYjmpTWKppcW+WI+hbaj9rphR?gxsV@E&`f}754}*b16oR8 z)q~3CgD6-b&`@iE%PH%>K^<=L)Y?aoIAapOCd>nRZe|fopo%GKg=RQbC$@gQm+P16 z5zTe@RtW)tUJWe6-9uzxUWhXhaQf%uoCBc?ehwlk z+tvm|Mz&*OcmSp31pV;-!Mdx&g;v=yF*DE1&We6Ia&yl~q4AQ2>gvQPQl#Zc-?%a} zuy-QX^5N63RIec0Gi}e8aI<+`T9C|ze{A2eqdjBWU6J=ovf>PLZi-tm=eMH`Xjm(R z68+UH&;C+ZM~4C73yg(MR@CdyqVBDOIS4t|9zF}F3BQZ92C;d1FfG~|&^V9?<5FJ( zx?o$zwkrCQ#JO>>ppfq57l}ZpbQFY0_1+FQ{0F#LfH|sIKrBzo(B~mqCg9KEVI?xy z#Vhw-+Qqs|qb~gMDEM!ghT8)ob~2cML>`Mh)1W_!X3kCC%T+tHLw7RpxV|PNv8s|^ zX`(BtEk%``lUG1spX0D*xzbub4Yp&CQ6N4CtQu;4Akd?1j~Ur84v0n#;BC3N{Yu{X zQ=;fBQui(vZL4C%jF>+l$q=Chr?K_y8#J@JMgM?N1OG#m59Ie~U%kunQ49irg8|1( zX02jTU~MGm@jd0U5Qh}s($>=>BPJG3v9q&-5gs|gBz$Fe0@xz;@)%8X^bi1Yf&8jM zx`Yb+Iuns3#NYd|2>=RVB0PWyn3R<(R&XT2YOEm&PmMM?LPSS8yvq|)Gcys|QTR?XJdT4C8yRWWYFfWe zacemg;-B36OxWTULl6W_n87QN+{rYYWK0Ek@->=di4HMD_N`-IVQzNOB0PJOsU37_ z(MwS_$Ixv;+mMal5lhQqU@?>@4GmYHvlkQ=f&?nb7!euyskF35s;uc@4ZG*AuRl{n&fi3+m6KrPeSEAA>F$omRIn$oF#=L zy*e=|_0F2j!{&ea1xhd7A85X2%%f)ZfKOf@N6^S@$IEZ6-}?HNe|qoU>z~ViBKw)7 z8;$)+Q(Y(MjW{}LU4P&FY)o@^%+YOYeb&T0A8@)~d47V~_s#r?*xCvi^E?#y z?Cj(#k>`J>k)P?R-+u4To$Z@~n@!`6@!TscG%M=byJrvf5`^m~C&g{J6)_Yi-R+oX z^w7p(hdor6ypnisB$w!CgX$LlVWXd7O3Q~2AMOR$z75@$*1UDjCV5?Haq$JH2YGr{ z;!FT^N=m-!?v8zGGWG4-kPOHEHJ7X3F!-1(kv)E#jo1YV)0)g7wUuWTUo6k%w;JYi)O`9U+mH za4C}aYiem7va^W%(QqV$X2?rvz%n~0>P zTgu!#XJdmi0X$Y-ULFzhK!oLO{s}_LWZ_k{)V6~t?GrCAQ{$oEjG3yu+=<_W5hLAs Y(sTfa{|&9fQpDdW9#kP`%Nt$(Uq_+VjsO4v diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index abcc3576..750d2828 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -242,7 +242,7 @@ Reliability = 0.015, Resolution = 0.127, Uncertainty = 0.248. -As expected, the selected-members ensemble presents a better Brier Score (lower value). The uncertainty is obviously the same for the two cases, since the observations to compare with are the same. As expected from the RMSSS results, the reliability is much better (lower) for the second case since the prediction probabilities are much closer to the NAO ocurrence distribution than for the all-members ensemble prediction (see right plot in the figure above). However, the resolution scores are not that different. This is due to the fact than although the selected-members ensemble has a lower RMSSS/reliability, it does not always correctly predict the ocurrence or not of the NAO event. The all-members ensemble instead, although with a higher RMSSS/reliability tends to predict better the occurrence of positive/negative NAO events (left plot). +As expected, the selected-members ensemble presents a better Brier Score (lower value). The uncertainty is obviously the same for the two cases, since the observations to compare with are the same. As expected from the RMSSS results, the reliability is much better (lower) for the second case since the prediction probabilities are much closer to the NAO ocurrence distribution than for the all-members ensemble prediction (see right plot in the figure above). However, the resolution scores are not that different. This is due to the fact that although the selected-members ensemble has a lower RMSSS/reliability, it does not always correctly predict the ocurrence or not of the NAO event. The all-members ensemble instead, although with a higher RMSSS/reliability tends to predict better the occurrence of positive/negative NAO events (left plot). ### 6-Appendix: Forecast scores ranges -- GitLab From 43e35340a97efbb41516538852db52e46f5b7ac7 Mon Sep 17 00:00:00 2001 From: jpena Date: Thu, 14 Mar 2019 17:10:29 +0100 Subject: [PATCH 13/48] More edits 5 --- vignettes/ScoringForecast.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index 750d2828..ddb7723e 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -151,9 +151,9 @@ legend(x = 4.95, y = 2.4, c('EUROSIP', 'EraInterim'), -The above figure shows very different RMSSS for different members (left plot). Most of them have RMSSS close to 0, thus the prediction error is close to the system variability. The general RMSSS for the whole ensemble is 0.015, what means a not very useful ensemble prediction. +The above figure shows very different RMSSS for different members (left plot). Most of them have RMSSS close to 0, thus the prediction error is close to the system variability. **The general RMSSS for the whole ensemble is 0.015**, what means a not very useful ensemble prediction. -However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 8, 23, 40 and 45 are used. Now most marked NAO events are correctly predicted giving a RMSSS of 0.66 for this selected-members ensemble. +However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 8, 23, 40 and 45 are used. Now most marked NAO events are correctly predicted giving a **RMSSS of 0.66 for this selected-members ensemble**. ### 5-Quantifying the skillfulness of the prediction. The Brier Score @@ -231,13 +231,13 @@ title('Predictions for selected-members ensemble') Following the analysis of the RMSSS, we compute the BS for the whole ensemble and for the ensemble with the selected members. For the whole ensemble, the results are: -Total BS = 0.213, +**Total BS = 0.213,** Reliability = 0.138, Resolution = 0.172, Uncertainty = 0.248. For the ensemble with the selected members, the results are: -Total BS = 0.136, +**Total BS = 0.136,** Reliability = 0.015, Resolution = 0.127, Uncertainty = 0.248. @@ -249,5 +249,5 @@ As expected, the selected-members ensemble presents a better Brier Score (lower | SCORE | RMSSS | BS (total) | Reliability | Resolution | Uncertainty | |:-----:|:-----:|:----------:|:-----------:|:----------:|:--------------:| -| Best | 0 | 0 | 0 | 1 | Obs. dependant | +| Best | 1 | 0 | 0 | 1 | Obs. dependant | | Worst | -Inf | 1 | 1 | 0 | Obs. dependant | -- GitLab From 44a79e45a6a783d08c7eaaef1ef0affa2208c414 Mon Sep 17 00:00:00 2001 From: jpena Date: Fri, 15 Mar 2019 10:24:40 +0100 Subject: [PATCH 14/48] More edits 6 --- vignettes/NAOpredictions.png | Bin 38181 -> 33781 bytes vignettes/ScoringForecast.md | 17 ++++++++--------- 2 files changed, 8 insertions(+), 9 deletions(-) diff --git a/vignettes/NAOpredictions.png b/vignettes/NAOpredictions.png index e4c18e715085fc16835ef74d86981bad752ee1da..ec96e8651f8ccf72933be25b53213ac1afa36d8f 100644 GIT binary patch literal 33781 zcmeFZWmuGJ8#am^C+YTRR5#zt98tO8e_klgLzMN)b)Qc@@6`!=n8}>8 z=&q68oBEh9e0VA-=gsl^_w6T!Vzx^R#ljmnT?})Id$Y7Q`n0{1%y*E`hw*o0!5QZ>@-7l+(dCmIb5 zEywFZc388@c2didbqg$a(D!gAtybT3O&Y>g@}6~8R8&0cOpU-=CM(5I5y?D#I;G*U zrmc~xZY@Z)KHIIO??b~@<2J?Bd}@ox=GzDL@q1;it0ATKuu*v7%`;%t^P&V4syMkn*dTu=7PW2Y8y<+yPh{SrqNJ0XH! zd}H^9dsxX`H&h5pm><|3Vg4dR$j*~=CZ>K-L>In57fu*kpvKWRxSCVa8oUxzkj5aczf>ZE$6i< zL-%b)R#rJle#?RI&`>5i6a}A+Ak}3yO%az33tXAo_wV2RX~a3{`U|WU2a6qCU0qXD z6LktK_lH~-%_2irO*R*C9*6szVO)k{Vq)%FOT$;MUd49lV{OJqsy>8q=uY$^SH@~T zOL%vsX=OPsj|dFfwj242+K>ErH>-}`B;(XCTH9M~7BKH(7ZEA38Lx{Gb~solUbHy~ z@}_qF;=aFg?Y6C;^@wDwnA^z6NL?sLe}-;B`N0m`WM?R+zVl>^L-mgz!OSXgmV-s{ z(x@UO#_8$l9qGX$J9;|0vkz-sQSE=ztW9?Dj|} zbcialo9!BOnv6-53n`kBH;*C^)>0dP`mGsXA^kHS!^PH;T_ZX;Iv9 z=~I%~c}o6E0cS6>+RpcB;5iU#yFQOmhBE$7P!-c;Bu%XDKyE$3TIlCtkkjX z*xk0DW2U2}rQPv&*<3)qdsk~0m7Sf_x}Fm0W~!>q>OT7C5;>N{gXQ5?aJbvhq7h*xNEqYKR`_RabXAp^IOiB0l)_npkY>*XwRWk5cQ=>Yb+Ig(CU#$jO4rRq=M%kB-fT7-213 zP(%c18wXv6PF@@D^JcUtnsV8;O~1&t)xm(TLRD3DO}^M+G1G9yzSz7wlY_1^Rik~g zWOK-6#}4#55-fvW;V;|UQVF2foMH0iuO{O&_jfm&?F2pc*Tc$8o1%q;JiMD@#j_53 zVEIOW`p@(aL}-=X2;gmkXA9eJX;r83H@ zEMk+oX4lAICr$b3(=XJac)LL(FX93Vsg6O&lB9s4y-PiNZy+gj^zwZ1Vp;p>i$Td&f^3k@!Wlxs;@QmNwRteGvy@z*{~iacG;X_< zUW9ZQ|iA-E}39lAIi2ND>Hi1>KOXGo4p7-J3A}u%vf#EY*$9w zgU^-o1-PL^`7jXo0o!)PZmv%+LdHsrkSPzdM@pPlF&K!{m6eplJPt}G z+vj(7=bQ>wSN4KxYVJ2TVPG*hbn`t!4DD1%-l0&U?t5F{d2JTXojto^;c}~bb#$&b z=hV3?FSeE*ht;pIHj5vEb5e%b0hUJ$eANCmT`tYQRlmkrFlpDgpGZD?mU>|1=;&CM z=CTLI;BbG@LsZ;;uBSEV?8}!}57E_y*74nkE+?N6x<^sBwzdlS>z5aU;*Z%E6P8&v z2`@?06u-(+4Zh)$tLch#k#CqRo{&VV0?BUvPw{p8+`dtH!`_^4t3-A1AZ|YRg$^QK3c}EotG_nlzJzj3D)N_e;8}8CXJ$KPg0bZlhgV7=;c9j3b^>v>jl3u9W9G z`jF7ibf!5-;I1z(dK?N*X1NWQ32@+k7BPdzD|Owraof!*Kd9RtV;Lv{g?AdCTG3bU zbPNCR*_dGLmA|@8eEIaYLHPy$S6b+El2=GVgOnv74*8uG8`nu*Z>T~_-)lz8hjC6@ zz0=Gx*!LGd5Cm^>Bi1!8_H`D-ZjnjY!37Y@838ePU+M$ddAwWrQP|aMwMHW~)@vH8 z51}ZCTgIW_qY8rkv*26G%1mcEQnX4>G@EIF_5TK22S!(bpI=jwis)yo$AMGEckLV# z)IpYk>#~$$J3Kh!u&2yzm&Rkyda@}7Z>A4RZ0k7+^wv4+)@fVsX$98jnzgS{PWR=_ zLWB%UnCKDm#zz4yvVD8=aoG*xFZ#tBb{kVP)9ssh85rTuql%?q*UB7#%fR4{3K6Ed zbJn~{kJ=Q%s1UXuH|MBy)Sr{ z%eN~aMuV+f^;2SEV4xCneOO)zV-1)+Mhix%X+1K8%{||8FcSGjOA8{}v}(3b zMfqJ5o+$N7NJuF8PD*zRLX}x6rA)(>^z?La8{?%UBoSh6I~t2|B}X(1zrS>GE=y0_Bm+)V0Kwl}@_e-OhxWu>Ua9^3gcE{6+<2 z+F5K&7jNJHnD_X<%=^l3^X_$;ho|z2R1St()Oim?8T=er&L{9NNFWkphlY5V2MVo6 z@ex1RZLkB@*48`kX2A357u(P4;cCZK;PrWbz9{G-Z1-943DZeY)E;}wkZ8DMLPWDW z{M}ndN=hh3Y2Shx8_cF<38HOO?TdxjQw{=Pc$QMkZ8xyeT%~KO--tP`Uw;HnaP;4*%=q zn*X;+G#BJ@UAZ6wV4+eoj}m0kF*8qnCl)_PNT{ZN`u+R#BfoNj5$91TT6;)KtZ-$f zXeVhqS}hV%(m*siv*@hEi>C+7yu7>|9Ex_A-!ApaJcpPT^3%BNYyyn*8KOp-0KN&e zKt5i6Y4C6mQxwdw+7!bM=RfbK5U@-yy0BPmJKYAEP9*>HRQO9?S=q3_QXleR4e}8; zh@;E*H~PWdWx{93;z1CK!cjkAb#j}_@7}#jmG|ua$j3x)zDJ@R|0Xbfn1_FZl!8Jh z@0muY#uYjSh6MOEHSMM(MB%QkB{Qt&NG@CevH1i87mR6&vMiFdyX;AUK#9}gZxKX@ zLX{prems~%R}*IQ;&u!q0~5$_L1+Prjo0MOpKS- zJX6xhh>J69_Q$)6@VGbq^GZrens6a6-rB3eFYK;Q>1_74tpBGMnwgnFSPUz3E&z=# zv%-nt2TxBw3U(fUtsZCh!eFt6*5lI!{iWvJoShoKAMTUBEQ3(wuqi)al@G1Se@;qDmuFt@wkbQ`C!Jxp5UmhP{nZJ1&#};TCxzFN z-EHUoi?1s65!00?wzrHXt5E_W>?}E^^55UCEPW@XNG)Qo5J8~GKk^ye?dn0DJjVX; z>nAX0scB!mQ`GXlFe{F|KeWV3>6Z5GnqL$7GU#HpkoW3UZUB9rd{{~Oz)u?U@w#z? zg^8#;r7n{OY&RcJis=b^4DHr8qBBCcVqLIrjz90cwU}j$;VSPK8L^=O z0qYB7Ol2!(=jY$337}6+^Mp}MMBL`1XEjL`*&*I8eC;ZrFtmNQFMv;=VJ+P{B+jUhTU9Gk~#(Ku7B2M<(dyTUw5Kah8K zWvou7mE1` z`lIR_!#@jA^?Fadpn|YwMd#bMzGiV3Bu7wVOqx&(`nyo*YRl1Mc~<2b`iA@zl=aum z6>d4Lkfo@}=TAD@%`q9qavAugvoN>kOmNBUWnehFZ_kf;2Yus4pw574h|SI>mv0oM z5o0&1c668HQk!_%of*be`r_`}bITJpTxHBI8+xm4POD>4RwenGHW-oh;K^iPA0PU` zV#6|C4#ktiWQwbOHd&=i{rUQ3q=G)lHU8fGgOm)dBL)s}o;?`3c+ zD~5fRarNjAMmqV#)xN=D1d6eDdF+Vt_}1_lglrB!tgyrUN2Sjr51y3=9m5m(O0| z#|I8wEE^C%*+WW9r(t$3tUe?%@>xKMkcZgetmCXo&9VT;_ij?0a4vFEvi-;KQl*Uv zb!4rAdtk+60AFZrWDaSj75d{GeO+M1quQ2&=KIIBgT&i&s#m`_@$+I`>xW!B6r{WK z!md$9K}jjcZFd8rBJCnuGl&?@x(VZx);vz<1?(igns5(?v0lTPet4s}y|Qh1gTJdJ zk5zrCN#}%Kldd<}MS3C`F}05D>>*hS?#&hj&5xMFlQ%^0OVfZe7(z>htgWDncCm;WArN z(b*I1e47KA`eItA&jsf{FU`?Z@EzMdWSsAJG38*X_$(B&ZJ6vyM>m$=zk>CP@SYeP zZ$J!7NIVYU(`?DqC*GFB4RD-656UoVO45xr#Jnv3$hXZSYF<>|y)*e~}WI5UZXx0b1G-=au`+u9VGo zI`HriQ=tR9Kh+v9QF$=5Ql-J=DuHGfT5`uE-Dzlylt#t8M$EvQD(DZ`tjpR)icGNv zeN5GU*C?-D%P4xE_O;J}(4yy42&>&X&j`*w%6=nVpxdT6Pll#+M@K1{ADJZ34ON|f z{tShPG%l?ywEawQSQsVu$c(uVRbMcRfr0s^B?r^QO#Ps1PH5oB_;^FEN4aM9NGEZI zv)w#+<#ppx7Yp{+>D;w%&zmL28Gf8R#@N0pe2tOC@IDu2qB=Z^FM|8>joO+=vYY8@ zs!d8^?g*677B%ISCRH5Ab-MN0`i=ROiep-Hwt|QO!R>V|7VWkuc=|27RQ8A08Rhh{ z%b#gz=gIACtWW6B*{n8V%)`!I`B?ncdUUJ+m!QtV#kJX`i+S|&jkjSo52uo5X7JtD zB_*0D3XEIv*zNipAKxpq<%bK6;;xZdHpaaesTDM#`H$1u1xj)88Xd=(AC;z`=`9=H zK4tG>(k3~^_w$Rv=(8X`f$D+uGXrH#W4~69jnOxkWv?u{(^u9~u<>96FlP?lo1~Vy zWNjg(I#a7TyR&eY>)p0KzcjxlWK*RxUQbyVnq(&7ZIC_CZ$()MCRr=}GRfm#I!yBN z#Um~E?x~XpQ!e&AJgIF2ciF8|XtvsDz$jA`Q)!Q0PF7;9Lo}-fNyuC+46Ut+OdGyN z>5|J7r}#9zeAyu1Xob$M?M{g7!ZObf}0fD z$L^e=pmce>aFyT@@1G}C4)73EJpJDf`kyYHWX0Ci`Kl396P7yP<6KV>$e;o=VT>w zea`r=FMhR*F~ydfciz@0ExK#2ub_Co&ibkL%a^+} zj(4_^wQT*A-I*CT-FC)hIIdSL4dl;qp91;&oQmstw~y~#*nhw`-pq)pzC&^DCKS;C^gx)H%!nJ5 zIJU~<=U^~_K|yZG)L9m$^L>f$^bWYhhI;IFH_M-3{l#v*$e@?We8|S%)w7H2`5Iks ztbn%orIV~Qu2+AJWSFp-anZui>8Z|rAL35?KSmy^`=|>18db6{y3cmOSh3s^zSin)yE(`B`eHHHCX9nOEFpV^`$hH~ZDloF) zuhUiZPZ0EH8yT&(%FxUYVAXKcyiZ%88px!KE`gc>3B5EREKN}Y%FmtNJ^>@$aJTDA z=26f2iUE=>T11%e8yd`pW|^%T-8R~(@X-;9Pjlcc01GkfjRfA66v z(+U-lGrm;0^CF9$${zZB{h5Mrw8$Gi*&7uNofkKhrLFh4(3IQju{ zg7Lr;?UzTY0Q{E1;h?^F+is?0Z>9cOJlq!_~JGb<$eAn&z9OoF zcGr2VBK9o_9t*485YBD1y)q8)2U1T@4^{yX_t~Hu%Bh+45AnMY0XsRA=U%E1i!L2} zcu*oA%KP#Bj=xnYqss;}TLXDdL3S(O^FCWB=ZNnuz5YHt1>jc1En`dUI9aFERUiD! zX<*@W$v7`5UL=`j#yt<}lOM};Q_ToLCi)cWVH~qZRyr`F(`Y0Bs{r{!J=f00W~Bh< zUW}*>JbLimWwF!&uq&<7sg4viU>yvlwVLCXn-PX)V7>NqL;5R1@8bxajWnHHt(n{8 z@b}c2l{38jVSrOD40{8pFzij}xNp{;6eEP3NF^^_uBJ3}UH00PTcs$|B_QaaGbgwt zg+Odb2THowQ-?fsi?=mfWm}j~&6TLHQPz0ZLyNKw>{pX&?L4 zLPfN_B0t^nEynz?bh9p9TaFdR>iToyHo(P3!{Ydg6Tz=zusTvI`RVNXAGhyJ?KO|P zyERvMPSZ4aNIusn^K`Jtyy>{~i&%W`f!*bkBj9@O2w_g%Y1IgF3oE#`SN*P~2Vrc? zc;kktiAgHw4+gv}Y~!{1r6Oe%ic)}xO7JEV6O*8z;O*PDA=hMLO7b{7h~j^)svnvC zAKK_%ZBq6AGB7Z{=wWT3+KktC5)x|w625yAbLka+g>9)1i@G&5mCt7oY z@CH9rBgp1$hXoObg@K9+HX@J8H)jBrhQj+AAVzVi{PD|!NAXIG7xP=fesRzHa#NIJ z#jt_Wl0XlDhXL8;O9CqrA9Mb-+7%FM^!)hw6OYbol|BWKzcWos0Q;XC0$&k)&+odm zbmZ7cDj}N$K>dLSbcUE%9EJfUb%3h{;X%{w$!VM|cks(1R6_wFY%SawP&IL8=BGe; z0a&yaTMk8b9@D0|_GJImN`;F5nj7f+e18Fq7SOrd&TCJfJ$p9YmS|*TG&(W@VZ}__ zU#1$SM!?gXn@vLE{app{5V;W66wV*&e{1GV)HP-5N2Y(5M+pcXUi}kVw@#upw2lyb zz4bqdu6;?VsG`wmPP)h>AmKF0FMdaW31MSQoBe=c)I1}<$2b! z>+J+~Dv`Ci{Z5MtxRm)+f4)6(ZKFPZZHca}KKmizc86zbA^1Wx3oMnYYM_rEB>$TW zgJPI@8>}Cd(8%vQ154xgorR1|Od|6k|9P7k0zXJBl;uXd;7Rq^(Ej-iugO5I{LQ&u zdb$Ww+xsIJh6nx{H1N=7wku}Ob_CyFVdT`*(@qV& zD)3H+TcgBK>gyjWjjS0z92rIFXL=m6h3-z#AM3ttGxk33iP3pI`S#q$-!mUB#5kPO zo9#$p>tfZYtH^7}8}?rlHrD={@Zl+KpnU-n>aD5fMXG;Ak)X0%P{+%2uriF8c502( zwoJ&b58yMfo>7le*kI=qvdDdD9>LD>Jhx;{C^zg_teXAx8jbONRQovlHv zdBt>hV-6LGStT~3qbrw7+woJxa-LxK|2H?ga^w1Smr-9yM|0Y(Ekc%WjY{Tf7$;3h*^%Ob>Tt+Hqg~i`9 z!%!8NzF@)6Ty1jXf@o0;cIkTBPWH+Z-o8)5^ z&)&Z$f^7C|t^4`Zp_a7Se^ZcrS@={j7>wVkER5p+`@C~F9@Pj06EZG?hBukrcvDV| zK;6ZUZcEMx2_Ow<^f?+aJxQRq=m2K|XeMAF0kW31GYiFAI6x90pdxrssYMY5p%zdX z5;f8^=~mk0x$v$O0vDkD0n#?95oW>yQ~Jt-siwj&p=)CHHZY2S~bUH?u##9GP`w-SN61<0$#P>GYR?OJb+srdF-(3>~MI}^3vi)}X0 zv=Q`N)HWi*o0hV+o)U-{pt@+$8YlJeVGr;?q!Ivk6n0pM7Iw(|p9~1BF0c%7Kp0~K zbCIbhL~>QYQV+bOIUuM-yz)>L@Qi^>3NKp2Y_ZuS0Z*#l^8xEoM8p-=hORBgR5`GE z7M#o@Bvi_OFZ=_eRUj%>RaJR;d3AnKk&s*fUKU^>W|2unobq@z>7mj#I{IhC3Q_#? z**~dg2e7NrLdZ4I#z;Pwi3n3*P`TxKX`ci4Ip>?seG0E+hTFc4KtMUzZuTgHa1)4i zJLnr|#}Noc@DvcR-l_TgZ2vvv#hy7_c{y^j32UGKwDk!<9G7nMam{|_sRLVX{;ub@B$Spz_Z8;dwYpsqoL zJcUD_)M)E?aFMF}m>tU$ara}(^UO0cJFdYK?z*IE{ zexasjS6=4F@bIT5qFvP>@Az9tg1p~zGva}A^y*~uq^Kh5)Z_P@UB;jaiosjRF7EH5Z12&oT-{4MbI7&Wvn zgPp@I=j6KItv>(J-yooMR)1YR?AQm;x!+^h7v_fmvt3|keU_YpB62kj;?*z~HEAi8 zPzbtRzrDM7>(}rI;rNYaboS)H{>d8Q#rqG#D~lc(BTx}|S^HvT0Vw=ut4mx4B6D?z zDX<*1z@Q<%ETv6`Y<|!*AG$DT+?o1`&Hg>IkGHlVID$u`^Ta>Thcy6t5ecxi7D0yM z`-c<&*pwhHi z-7r+hT*YhcbN}t}Q^L2_Vpv#GXI@nW@R>ju%>2158zdFDl;;VKwPK76ng2bOJ^` zdP#sEcrfl|-B)iRe9naQyjh<>tEr7I2aJn_oZm_2lT7&W?SqkFP;xApx5RU^!X)h+ z#9GkwVGPCC0nXw0DcOmf(bv^}8oK1{AJVxa)?oz=9}M*Pa#S4FT;MlAWMfSWbQiEP zni;GS$Vn%MY?XKhdI_|Pl7@bb%<{;}p+T{&}u3 zC-C@Om@PYe>HY+!XJ9qV(8PoOz1qM$Li;O%Dl9y&?Y^Xev+Ub*BxzJ%_(B5PA+k2T zqX8z#pUol5AL0%!zj7V?Zz@y?Bug_$g3t0QbcQmWq>eA+Ot@ zomUYYt82P_B z5IR=fP07`_BnpzZGnO~&tRkp^h5el;yr+x;f}G)G8@O{QgD`V*x8^#t`(r2RfDTJq z?lGdfegBaA0p@Mf(EdG#cfRVnhb`wGGB$x@Q{7&8LW6@yyvipFmlEPxBbl_{ySG(0jZRjMJs1m8wuIamw)8v&?-r0f{egfFRGRjk!~2!;Tb3{H$t#8!*Go#i ziq3?hgPa-Gz;d2GXH9;xNkf~`^XR`WFe+Zgf5tG<9=Z_@fCXw;B6j zllOgl9p|6f;VXEMXG=~}Ah_;eA&J0=c_kiUX8t#hV}Yt1lpte0)Q|K zv7prNC=vPjG8eiuz&0g;iO6l&S8|GyQI47AYz2z;A9oxDfu#btW5}h6yyL+ET9s{2 z0Cx-@to8Ifyr?M-m3a^kJ z3W4Rhe`6E4E1nZ==&_&YQ?fIY1|Hl0!-rkqg98D~DJzTb#jgtB9%|#ntVe!`ZVp_$ zdNl$VV@0;p4mdZhcHXS4DPh=i-ek3d^{fG59)^dKM~`OO1dv|~S}{*-HDfXUMd2w5 zT#mm&JX5I;K0c7^zbzXCnFguP(9U5J6DtD(h=Jj3yua8p2r8fgB!y`CbQc2ZND(I+ z2-$$S9}*t^5P}w{^trgH(0m&}s)#JVnZt1{9%v!WiJF^6XtfthXnG2>Y1!OY^{3P@ zrdbG&6EgL|;yAq<=P4;LWRFh$Eh}?hh zw^t`1z`h&+IXzY{6GBUEK?|7U*<`gLcir1_uDfVs`ZdvE8~c8FdA5yWoX@y{f{s@(jR=j2NMH@=>+m%VPRpn zflFhH!0fs}U4O3GXm2|Znt?NTwII%>L6ls-w9Q+jKXJ^qs)kTH9rHY@Wb4U>eQ6Vre>#2Cv4l_ZVBnZH4QSgI z3tp;GT7^|u<LgePUmqy$oX!+jsDqRZ+}bE`>8cE*}c(kFN7$$JVL^Z#>aa+Jkmo#5{uZa1Ra#n z27?@WO`1V&m&fksGAJHo8<-@`U`mE7PdII8zw`N+s*(6a3SvPfrC{H4oyNVskUoKD z*$GP;x5e9c?oX330#-vo%3|8k_XHaPO+d)2z>Fx|$;#56G;X1KBQzU(!S!$?R2 zOReSTM1_^H^5aF9D$f5_+)Gv2Ms1&7mgHp&o~S)Inm0-ctn;Wrr2p1#N~Lo2$G7Ll z*U!&4$#0zM4@?{gGR&Lns9mJ=R7-}C+iBZa$c5jfxi)B}fu}7$BO#F`qrt>=eC!Cg zV4X78ZP3IZ=Jr(lqGzI^Cxv-|gotokNegp)r z0q5H)a#sC)b=Of$is$rp0^gkQVSBhIf>`M*7I z!?thEIZ3i=Y3iet>CI~>Z~`_7bGX=2eZ`HKFw$C8CCHRRh{c1yy+-M1UHmD;a+T9` zwfxy*6g7v-2Es}!U_Xq3T{cc?>?h55`C-Tn^i50S@1ln#j$#5@EPJ*|!oPa91L-i& zLQ0n3`d*F4@MkT1r>hL~So}YE)q}10R=ziH-_B4%_9+k0J5VZGO>3|g<8`JBTW*0a z3UB5jZYLgQh?g))OAj6#x@^#t6N|Fz7rB-^U7_rc-lTAPmcgMrG`BrloJq?#KH!mj z?pe_sj+DxxL&uvaCJYhawxe8|$+NpL&-08UAfCL*v8ygHepe~_!m-feefxL5!D`84 zB|i5tWojN-Wp|IU=yv(=Nj0HknD%efwciaC(ndcG3w+XWtJgdxAPDWUl3?H0BBMw| zgC4Z5{$O@^HaJ}i=d`mxBO`}E92};;xOGcOK6SE1HBYUYT1U05#C}oS!#dcfWNiaE z7$(XzUZ;O(Sg4oT(V>nk3v845$miS@95|?^P#fu9PAnwZb*ava@Rk+Y$44U9@|MTT z0X03pAx30ajXvEi&A2PCDRd47g-v2X1@wgPrv{Xu&3ZInI?Ea`h*xvu4<`hlMF=9tI zMLunwg%KXQ6)T!13h%zf(?~(8?(%!k0i&6zXQsqW2NV!uSEz}cC{Z?W8V}h=i>K0<)avzn6Ulxc`|M4WcTtE-RhL2b(3??SF5*^X|Gd2*l~S@=dr6Ml zOmOt=kmCEvYIR{@6?eiMy4wo$Ym&lR?7LAQyD>C***QVa^5A^xp;w6rHP7$ZlwUas-h9&j*UeL;)4_oaP$KaaQ3 zdasaY(Fd9RM8`H);>T{YtYUl9g0g6evAAs9F||t8Q2r6Ih9M9&` z6yMIqcFx_%OWiq4l5Ixy#^8@C%FTFdGA-FIpJgm{r!hek`cs{`5I~Tegyq|B zxyK-?e^2tq@JCjSJwEdR%b%Ymlt`>^^LkI%%X<18mzREfeAb(c+@Z7^LDNj(*6%dY zfJ^2&C6ia9rjw%DeOT}eBfZKEn9J_wV!7jT+|0fA2xzDTK7Kd$UKnR&P3Ph61SJ=F z&g0h;wgzq)x|Xd2mRwxP{np(_NKXR>! zVEgOaIrqNpBJ&|FX$~k~C&ehcb|EFJ#!L9E<386XmhTQ<__@o6aEM#YNY|DY-TvuU zIuXB7N!Y#X4Go<#epK9FSUnyGrMG5S?Z27Cw%+M7U!A0U*gnxHYK%6;I)$KbzTjXp zQFJaMBMESm+`O#&P$r)@R9r{KvSZVB2Js^@GRf>Uh1JqPklI@-?kDfk*)uG9=NO&I z40Yg(fqV|3I%$h$opnBZe2u~B*2Q`6FXs?v6uW9D^AEAk-mWXyLHAqoJW*8SVKcYQ zoUC?2(<)hyU*w5QVyUB`d1g@tfugP@wraWj&!-bULYg#FxEQzNiSu=(6bf{ z%vF1~Yu26m*!>$(rU0g9dr z;-lt;iom_Dy;;NVy{M`u@drhT=P7KRLRi#%b&LlJ&8hpy4X@;VF_G(nu$Yhd`Gmq~ zC?CB!hI}Qcx*8H75s!mCz^Bwx)u%_H{|EX*@WD7VRzVof`S5Fn&p1F*P;aY%?C#gE zUsF?4A3rWUDi8ge3jjs4@PqwbeCwUhxJ@rsZNQQwplJA%h;aO&04m?DI4o>+;L$6+ zgN>l-$GYq1>s`0)9(*7h{{B`rQO<;&jGA*3#}y+i|LN-Y=(~zhZ;2_H-ny~;_$*9F4Au(?DW>bEYlZXd#Bk+xHq9&{zjBCRcc*GesCb z`}lmPrI(S*GB}xOey_`yiUk@-LiS;Rv0~L6=8j!k*9?UQSLL}%c^_4H0{qyL0~wl_ zzu3+cyl1OCWcVsh8~WU!unG+;1JF0cs*wsfHPmS*zyw1-lLdfpkWQln7fqF#4)cPP zyoDcN040)qGPXsO60)jlwH&>dl$+pee^U4sQh#OVYup`fg6Z5eNQvpzYx)jJ6Yp)Yad3r-z+mNL;)w;8PIRAq^%9kd$kPK+Va(qED& z)I_#C&@NJ+Xb50YL(FQj80gJ(hjAMvn5jvG@kzY+>bi;oJZ76eZyu4WPX z0-WVs5fei3(I?jftVpoX=zJENWuWujKy79Iee;%x{KWyQsiG$@@M~jc0T3lOG%V=} zL$JIJO<_)M8QezIwhIGJ3j^4fS_fFSe{j&;N%M|#s>y!G!Jmd&2 zABvKlr_kG^!4*2Mj}_8V7Gr&xRMtu%UBp5#b=53Llkve^i$crzUv8;mtq zowc=UQEoy~U2D9};r_~GEOZ$-8r(SV_V$X~(`VPj-3JOw&Jc$^>x66;`|;|4O4l2? zNQqn>jFE@tWfJT(6N_fUr;z=q49rRCn>WmDn-f z9T~IZ?XP`xSSt@-n;Zt~QVVy4#zt7|Pi=wAy1-ox#o- zW)9fpwqY|d^y@*+ceUuvWZnqdbhcLNVgLp1{zmtmD?4Ad`E-rX`#u^@&%TMN76W9) zY3bXkpFmY<5?*9rWQ0q{#>OBW-o#F#ix1rw%e}~HXbvHj(O-`P&{-?XU~ragV*T(S zwj(RHG$WSm0d({^4WGb{5^-f|#J?@sL?1u#3>%uJKE1Lj>!hU_+A!d;?Kb{eb$W9C zZFvCn=|ky_FJ4Q94nTM@v7r`5w1>e$36D$vcu|Q*%XOne#FgJIIgfrFrGt*)mFbOo zD-r#`uiO3S4%PkJr%Ryk?3_Lww@Q&i^HA51&$1gej~0h+S%iOP+vP4cK3~#QscrOl z0)ZlBLZCdB0gr&<&IYv1gJpyBAHH8Bf)hrRlJR`_X0hG$?rsV(*DcQ@#{lpJh^86z z_KmkU^aL+JCmQH&H2?FywdwZKvL^w^SmSGS<11Y_Vb9r4NJ5rdE&z;@_sQpSp$#3 z-Fl~`t5I>M34<2P!>;m-4LTV2^PeFKbzVnwFi#Kkwiq`G=C0XdC#km&cF|~2OKbbs z*7-vWVnV@4+~>)f#U0Si^^k`7{i-o1Yu!XYpN)EXtcEMPUCcEu z8^j6U`wQK+GXB)1Kw*HgP$-vS8JsQw29MYOZ{i_pP8&M>Fs;G4rO22N4{?Xm8P@2l(N6^XnyJ&v3}FBUt^ zy4l1Y*rOzPvD+u&wbl$b8YmpYymG25w?vZNwj_;mpydo&;~{X00PK*D`H{^upmK2d z2B4R=z(s<>CO~;VtE;Q4s)T%n_uKP~9r!{YF6=o)@Ud++1%gKjz7()I#Pc;9xCR_o z`FBh$6kMeES0$Zx26C(+P=oGptb?gc(KkB^f@CWe-l)%?j7c zVupII>@=PyL%Z-pYg+0R(aq>+_MiSAe1eHe!y`l8BEMdc?T$XeSzuI8b_|Dx9N*PcOi8SY&>o9fcp>DXSt*qe%|H`aM@OW1v7o=g z;mg*=$Shj(2exEQ6off1e9vkl8DpPXNRCYdN)Z6nwB~Sb`fjN=C>q)OA3t3Oj3~o& zggQ{U{Ns>{4aPTNDvZMUnb|)N`rsG(g;~f+HIOTGiaw_-z~wbV&gb;qetiweXI;Uc zuD{kKd%Vzl1LjAEpP#m%v{yPd5Na1t%hA+7TJlMqWx7>D>`-qY(kOI|h3!Vu{U3DG zafY`adA^j_bzJBjYwiiJox)Cf5=?h1!;u6e0orZJxd|q+zeH-q%)&n_-=9FcUDSR} zhk4QU@Cx)L5rdzy1;0H6&5giDhHCx;C|~*bobJ3l{I+yEDP8x5%jSEZ=#LomKCw7^ zsS9Ocrq?8T+gDM=mxc=()6Bbkd=li$nh*T08E?Hf)@{7d8wTU&{bzqdxTb822SKg; zP^jlnsRE=MUyy^2_DQr$(|kmLcdXC502HP1S|ctvLvC z73zUo1WNmug9mW#c4v{-(Z~amE2=omWZ_E9Zv81xz2<6 z7WVP~v}L|=jnP7@5IQb&aqP~{02c>puy)?xxxp8z#7n1SocBs9H!~sv(OA7oX~n{k zGQkeitX)>jNht*06#?IvrfkKp5zcSW&9{g!H-&B4Dn5O-rV`ogT3ro&jB`;n6qf?< z%2z|NyA)EL1Z6C|MCKs@T6Vg4x{&pc+(EA*+!^`+{<<^X$r)b)pu!r+r+PUiicqnG zLwZ~ws{+Uw&hS{uX%^E33W9qKG~=gmkd`%6;y4}+UtH4NYI(Crw)D?hBT#NYlu(0K zRFd9OmrX!Hkqdz97n|y~^XAmQI{dmcz!RIjECWvmyz}3u1Ni}t4$ufAI5dIX6*C(3 zhaFV>dk6pAHBs(zCu2pqHb`~l_ixZa`k$H+z_&5Xc7vDz_WVDGMv(qn2H*}YJr#7n z;kYaJ4t=33>)hvN(X`CU3t+rvSP2{>{w&+4?3Ypx9Ty^+d$#BS)|daS7TQKMVqjVd z`bB{#hHt+IlLF+i3@D@n=mTduwf_3`s59}K6XIBMT3D^oQyil7LArvd=gAAbbY%*-zVc9Bhszq?Q8jB5UvQ`k{}HuXvzv!U-8 zsukdMMIhOL1CPWZF~J|W1Q`j`c;P@B;MGOO}GV@U=qcK*_fuU^D>{bT&^iy%3|*QgC<+n^E-THo8? z{Hy%GrYa9p{qScOV5)Gw$^#GIWzpu^s%i zL6(8&YT7Gt%)b(M33GDj$)BJOpl4uT;7h$=6ru&J#P*iH!&yw05b(&IeT~ar8p!eT zehodp&?U@8YyOJ^Z|>>M=Oh4}14acXEb5x@hM(}l7XIKXAPoW~1h{FNQ>{iVpAKa^W=V8@jmDtYk5U}TK44Y1-c9`!_vzKVRt8x% z^FzsiYj@eY+%F@}oW=NjV%EIw*^7`r-D|S2=>LuO;`KY>QNpoE!)9*}1xu5ORUz)N z7#<;qg&Lq44LFXXniei3JrLPUcNBbRZB{ve6r?r3!1_K%8v2t(n>*L zu0ros6zbLKy1WUQXzfG==kBxn4psWWl z8l!&jKvOT$2Z2C*6nN~D{tf#en(uu8-@>q~k&$*65TYgP> zo2s3Y)L#6W`%<$g(hv16+=WQsKbGP9;(LCG5aD=@JUBK3=zufMrvC6hc7f{PLnFv?nnv12pLrJk2roz$9PD{+M*in~&uG7Xpz>#!ONJJ32v~S* z?BS&Np%Wlv5POROi#%udCH9h`?ww`IB{ojQ!u&h`x!F{f7Mke~f18OQCg5WNWIjI$ zkY0?#5DT3_R(CJzn;`6MvcqG-Lm_^p#Y(cj{~E|?FRtK*nM(cH@b5q**L(5p1pcfj zI4R8?PREg=aSDTC!jJ?yIY?%xu&|uv0fTsWNLQq6z<8`?#ZL z%Si+cAiO9X;e+?m?QLz+epJ(IeveL8A)DWOzrGv>p3GYSbMkWh9~qgWh$8U+*$x1# zmVr~%G^*m<`$@FW&uYmA(WqDH-?aZ(+kR0vc^g*E{m)x<>qKL6XjBwENrS|WZjI{?xBCnK{9u~pJpLCxP<1X+9oWv3 z;)XS~A!sPYy7V_sJUTrOKnG9Iek8nGv+u^gmmWSPQ3B2ncC7(|Q|!xAwh-R!S)eA- z99UHP*XGBEk?(B!zWDb;sV8J*WnJGn9|9`yGd(3A@eBx;E^n0){rN%EO<8NgzOSu| zgu6rV#a+IPO!#GjHVE&!Q9r}pLw8fi&yu=~ayInGg|at!h+BZlABgUH!EpEv1_F#; za(p2V4bI&7>mG^zyk%VtM_@~U?1TDs?*uX+QmYjc|s#>&}K6o@eDeWA=>dd48dP?&9y- zs~`zJsBaov`k_^w*dmM&1+ z@Yi1c{zBy+Jpb%<|KEG{?{~$mpE78l{-Mr4*J9_|@8Y>tN_+QUvt(Dp74(wq6#NH2 zefZ)1(PxQhg7Dk>-JYDVzV82%P|o?W;fnI;rqmqRbpu^fa-ib_tp(_?YO1OX;NLnp z3xcYkeyOubI&jArpgT z?Z#m~GeeidZS<>rJ(-LdFag=9ss?J*4z%@UWMn{3pj}61-zdkEw@OM%0Qx`)Wxca9 ztBK`e_GO=<->xL7#jSu?_ zYiI>VcIM_u@9xVy=^8dOHI*q`YM^Ii$)>PsgjLqvQII+TBdzyDgdVQ7AX3U_+LB)f zjw0;z!6)>i*^ryu(~&05?|f^AEH|X&?JZA(h&d^Jsk6Y&jVZ+&|w<20QKG zD_t!^fSU1?#mqJ$);VPCor&nFrk|DT)(=xB=}&$6UFDo7)jo(pP(#pKAOZ!BWO{lU zwEuWW^>!P9a&Ho*t^BwC5)S^Si)q`kn7?20SAT z9i5jrCZM9j;^Uj)zCr~&N+$9Ph;U?cr1h@+d1{NUQ76Rm545@DZEcR>I%KK-*2eu{ z(4)R(vcAfDo%0Xr#gG@WRpvRDDNIj035&bfN=vP_YQ}q1qi`}(O0ttfsR@$M8*(^AsA=` z4u17q*@Tm5dJ1&R7aOXGRpsQ zXk`zDB(#z=L_IfY4k?xNL>@A_n}KIMb|Zc~I_93Eo}!n$d$%Ad`d}0pd`T`@0ViR1qR@8Px?p-5W6~XfezOMj>-|RkTTeS!g2xv2!YVF^{_c$S^#ux?@lh7>dyxn z!s*?Hnm-T^)i1T2!*H_JD{A_9&GR57*0(=qWnJ_0LFz;&X|R~X;Nj;fpYr>@)`u<^ z8SYnn&Pe#0Kd?^vkm7BJ%y>iPnqhu9<1Ic>LdTsfD``SsGEctKKbW%3W$N>Nv#%%F z!z79$T0NW|5}`?HX(z(U-xPejjEq`XrJIqTTF5@pW6W#r1MxP#K)LlL-C~cn}wQ8hQ#$)7p_OC8;6JKAdVcjaV z*zr+oLxX-Sjk?%NkYmLq{(bx8T%LZiyIe=OLg*cabJ^9=F*Cqq44j$2l;|&EzYFd_ z)aIr}x*r0`DCv6@IJtz+x`1`XxqSGArT4aVf9}>FQJZ1yAa!v8AFW$E+`z12MJ`!$ zh@>_d?U)(x+l*Dqxs_^){^MS>4((e-AnzCnjy#hz)V?5hx3#zig?_|q@B!&OoBGTo z&F)%;?Z#Fg&)(}VTh}Fi+Z`wC~9NV9JbBbEwxUy)2q9S+1m$Zu%h74^hn!xii#J!!}wLw z=(NGPjgra>CKar#a8l+kRtEr zJA+Y1UgtWLV6bxIw$W{cxv}JM-l6Q7yl3fWX}Mi>oZmyC(z^%D>02!YmZo{Uf3dJC zTQ$f{_SHV0fX_ROZ%W*ae{J(R{l@d$(MZeuv{s>w_tcFpSf|x_CY5B-oOL28l1Kf} z{1bJjsCY@!A3 z2%mpj(G)dg!*%zf^xD_4WWJDf>kX=7&F)RlT*F3XOG_a=fi~R&^2526ombV{SCKe2 zk6nbslgoKH2-&JDHAiU@$Z#24tXsEkfglyKR)cE>04|ZT>Q1?FW~6$@Li=wy0l*S@ zfW-c$Qo0(bM{;Q>7@>VuQ$s^TQ}a?thytiUVJ^`s)&xh;Zv2ky4=ez4s+gINBtSyT z+M3wPTnmLi?@b6*Cy=^141O|oaVJy(fXKz~{~&eNB#^kKYlLg%hMyCA(qIyja`?fM zyM;HNc*z^%-6{(nh=JKcy@So{Sz@5d-n|Rl+s#db)l7o}IipdZ-Xx74TIAZxL)Yl6 zFW@&t+5P0n&j3QLYUHYcUxBdwcVtFHemqccwbDw%h^Q!+IxQe}J3jb$CP zn+Vhzzn1evV$X%eHOga;+FDzKKK39`xkzlINj-mL5JajdtvO+>nl{V2&g5DUe|p99 zo6V+`Dk3jL6S_hoA8Y-)+}7QPPQp4i;SC!$Fd1ErMAV-6 zW@y4|GzIPH2f$$8x%7CeKI3haSzv%S5y$uT_M%Vbe67!Jx9tiF3c|v7SI{eKYb9ph z9oEy+TTBL@SMrLYKajNI8qZ!pej;Zztq@bev(`48+~pHT6?V!WdfCvBh_oDFPAkH| zD}h%GZyEJ1TR6_#5kce_yisJRvvMyqnxa?M)W{F=`*~YU*sbK`L=L&EsLOTK#ls`7 z-7~#?^zqq+l9H05$5OT&YiB;I>34>bHCSxC$9JQ}lpX6ye|P%0u_8Loay96oU7K}J(*#OLS(K;7vnm5d z=4VxvljTP!wIc>BF9LoTy}eLj|LNxi_-j9%|Ejy4i~nmo{y*A|Qk~q~T}UD{*1L}x8bnQf%#lJKf{!Nq9a%80mw77f(v(tEo{*wlW>krYG-ti+UEebW}yZ z9h;7-wfNfYR9UxRd4^Y!?v9LE&5`L~Cv#ezW}cm_<2vEmt#nW2C zQ8?BThfY8YD<}f70?5JPTbH(U1YM|PB+@QkUg6#z9J&!GL&tG@ch|!iDx-Z%tM!cr zEM5ACD|*t-o2PIP-q2h1xGfz=2JDyjCV0AJY>i)>ZC3sKX|_!`x4;VFmMz!3b}=lN zH@QqTuFNj&Vz@=ny2+ASPPOOZL;D)cGz6vhzrVic{BopY#qr_P-1GI)Z<}u-``cBd z=$>{n#n?AC%c$h!yUFG;`+c%cMNTt2YuT#x-)1HFq(nr#pgPYrQj!cSOyrgKnzSqb z{JKy79sSTt5T6GG)JJf0nMFp#kG!0ImgJbT(Q2|nj``3?C~mIk5ix~HJF$qC*@dY% z(>aw&6jdJta0v^RF@;2oLdK_kGlT;#EWVH3Gq#qpYmqZ85505e&XzKaf!eRDi#q$M zKWgid5UCXg55gJ+1?ES#x5dm6t(l%Qi=6ZI_n&u&_D)X1Q1U(uT3A#0EG z8$8oC+JCt|?vcJ+)<@; zzUSkBybQn?@)J*i6&=yyeWKuWt-{gyvtEmS*3A5CR!gsxw^%Jju+LX(*{}OBsid^& zK~CWtZWWc#^78uT_1pA6wD&c!)cC!n38`Kx?9nrrxUfxo7?@+X8YABK!1M*qkdoH9n)#~Ut_GQu>&D_Uw`?m$!x2qp| z|I~)!^mIC;t9&PWjKqvbB~4|pKYWsum>HlKzBXa)A+__4wG*=7_}DSKW z^H*rd2R5vWZWU19I7p3jiE>lCoh%lVlj`ke7QBPQ_Ps4IjYt8D4JV#xq;+f`DB!r< zWsExI#_VRtO08(7i}=fzbT$QlQxfibG2`UxR9?5C%U7;YFY%s@BFV{^T2Z3N4j(N4 zU=&XXMN~xs-Vtam(RYn0SKT~Z%(Q9!Fj}NrUErQ9Y%};l7yg>HNbr4HQjW`h62-SJ z(J114dF&Tux?cQeYU8@-1Ci4lR`-P5TPp?MN0G&Cti`IJObBcldXPTd3aP8B!zJ(7 z{?)+YT1vftb=X>rV@RIv_wCEnwrRieEGVU1g&E$3^msJjnqDbM8Yxt&cIpA`qt2gC zRn`e@HON6rjQ5l!3!P3lP^86*f{wUt#5`Fxu% z1TLPW+cmwK{IbVDDk91})5a>25u~B$PjI!L_d+X2v@|)7sgjzIOkuOc9RlyVE=KAnEjJlw5R~*7I*rq zyHRfpYT8d&zgkpFrL4CxzU0w%datBKxQs@vjP-B|17JxL$PogllxysfN2OqHnwnQZ#!111ZK@-xEy8kJz2ql8 zEJdgF7D+)trKZgAB#l0Ob;Z%X@B{Zv-%8y*s3D%eZ<|X-cZO`+#p%iW)Wd7=5|JW6 zlb`C{K(^XenEb1(ecNG6zS;+MCtr&&+0j;h7095I%vPJ_lIv+8r5B6rIwc~mp}1wsmfk{JeWjNTcXrYBw2Pxt2qfhW9xJojn&t}8 z#+v3{B0lYOga42CJ%B2FwzSj`(3%4^3l<^O5dNXAgpN|z`(VPg<}d%2HTf+#INz(;J)+P#sb22@zL#~0GRrJ^tcQG7Np zKt%1*|MHfz2?rv9WD9B{IP&Zi-354`Z-M)F6wiCqzymp%JAv`|mJDeIlM#pTcg)AK zm3X~B--;V`tyfI|pMt6(zD0?`7t(cRsrVJLRa8A`aUrJEfr-r*StU)obtCXR{#edC zi2{jCVc3hHOPBaCRLLr>uybVZZiy{h9D#Lag0&){rCjx6M~7_TeE($>-HLC)!zKH5 zR&r5h2N?H010%!ev-2G$Dt)(cYE+;gKX!I*!%K<+?5U#iLSG-{Jha~@w5WV?FKj`U z3D#2OB6>b(m6MMDl!)CLRK_@=9+ zTZy$!0WO>hK1S5Ih;NC^8HyRXt^-EN(knc`gl7%v8MHjc;~lxUxl7B+5Fg4EvOk*h z&FMwH(#-x6D=~JZ{bd93WfNcUKl?UE-J1BI;gHi7^3nsF?aPbz=iJRD(jASjKN5I$Mda zrL*%#kIK!?9sPgwZT1E+G2rfx19XW>k$%RB&F(`VZ{8G0mgYK+h#WaUelW>EP7+Zy z{My?nxn|7`lqtY@nI%@$&3kSy3ja>EJKkX25uP*C_8t1D8#ML3O%c7kuFVfHk_B9X7fI6nCB9rq znATZ_(r^2S_-;!eoRIxg-M0@lOKCK@jKLffVXUL3oyb;jv`;;ktiAZ#=Htk7V%5a7 zmX#7ly(38?HC@BrfLS3CE$ZZj7kl~#EBNc`Fa9nGY85~Vim*6kmqmKZzak6vSo}boeo#>XE~>TG#Hx z=;b_H%bCZ}%cG`7xU#F7gpO{fm1>&?vzNz8J~p;KatyRsNQ4)GjB}ncSS*lcxeP_q zmb&{BfN02%C&+typh_CwqF(-;_zDoE=(6@fexlHoXa9b;g)5f`NCfayr`f=q2(&bB zb8YS?K>pAQjH@J`({`q=tiHZJ+q$tX%~*kX9uQH0{ojHU^iv7n>B^noRMC8jlMuj< zEFycbk2vG0N9QLdCa}5rpKb%@`T z;;{r!rRSHyCp!uqZ7V2h_cRyz5qkrg3Lq?aZk-SxLd#T(^BY5y5p5dM-{V123rF>n zT{-72O zOx!Oh6+vyP{OkDBzmB18oJK%Fy}s0ZqI05&hV9EpuLenMA3`NcOKP{GJFeEcGR zF(f1n^BXQLZbGm`05oxrjncA#HwWs;8;$j7j#r(Z_85(Z6Bk5NKY>aP<^7isD69au zUBBIWS7ElaiwQ zx(}T>GdEe}{cXE?FvkxvQAT znlLVhv@8GC6WWCAf@ccOFXqTj0&*hNPa?Q+7u?yzLuwP_T)DCpppz)GNZ)K+SE3LJ zb{&FPt$Vvc)YlRYEesuYMjQyb6Ieo9ICfvyku%1^h-MlX@cinIsS+i`uRhPX4wXE6X6RTU z2t@iAe*s45iDTO2BX2;{;H}R{3?zJB6Jn1qGnthFWbP=mIpLh8+2hQx2Y8zzS&mFa{~Yg08_)=j3MEmt^Eif*P0rnFie>pBLE;Mu#8kQf0fn|OQ zZg{#_55Nt8`ll6+#xlp@KoHX$=`85g$ z(46xf@fH0A&j2m;S zXaudZY5A`qWx6$crfVC4Onx*BAk|EXY7YRG&q_-#0g(%uhO)av8S}C1T=ad7BCwO(Xu1Ca?mVF8 zbSB49OoEvpc=5a#af>;GdJ$v5*$0{x4G45h8rJg4g5q`r+KKS^y3b<16nogn$jBC7 zbM$814H##}GU1F6GvUCQ58%E+-<}$6KvprLH9RbAGpH`p-gv^hjlRpyq75?2HYyYc z*H*m!0#=@8obu_lj7C4gQy42|dUv&6bOFUh|Nr6hpGD$D=~kYQ)UQvfeq8WnGLvpU`B&4x)9FEmtudHrt|TE07)9d zVL(TurkYwF%p<&^?ynvRh0r}YAkB`?-H+!+gQy(n9kY@Ec4P0auQ4CG@aW?+=y7?SYB)u-)4~?Ex3{kpJNzpzui@lrh;$)5 zN`8+|H*gi<${?9*j{Xq?41v_x1 zNWd=u-&JTdKxDG``F&p>ICQS9XFiLJrzxvFcg@##3t8SQD$v!iM7KmlYs=lvT3>+B ztgVsAiNKX~ zdUp4$z(|(8ii+SPo>|6Uhkl@FBM)KwT9}>r;>usZOaOLx;)>w1!z>l|(yGv_77Nt~ zm}DB*K*WkQS^O@ngcJnM92;>Ds7|tu_5Wg{H?~L_f1ZAfru6}il;XNv2 z>8~`Zy1PfxckZolMtaaV}6ZfmR7 zO)OEjK&vI;EiefPgd#N77C9^M>HY}6d-LU| z7ZiH)g#uRqe)A<+6%TrIy}Om>|1B3u_t5M25`GXiDyue|s`k8(UhRBZ{AX4ok)u;k zsoLiC%--30!Ty^e*S=*plyA8z75U(@;o;%KwV^ONvj*2oIm(E-I+qxX#cYWLHp+hly>P2es6Rl~`RwlYNvE51wE-rCw~I#XX~ zyFN@V5&tnEs49X=Vb7=4<@~6qH~ov?*XM!6++1(pN)(JNFD(^Ipg?$RR%pHpN?&@J zaNmRMDwaqca~sO}X-{XO+!U8aodNF=yIPC|@>QDm|&E-&fn=>-Gv7w6{oPIk3n)vlLkzrOLUj}&Y#Ee+Q>9d9>WC(g4B zR0R6_6EK-5<|&u0jTCU3j+Ztyy)UUGmrR@l7d3jK1is16&X&y(GaM^UPfgWM6$qSm zIi6ZrSg@j_xqSTT(F}5Zvy-I$q5S!3xmn1#oA!@?(XiQNto3mLY6{sh|S*U{(gRIV6ISMq)%oTQ<<8Rce2S3tA zbE&va>YLV4x>#TfK#j~b%g}R5iy;x8uilqm^6S!Nukj`~jVK(-W_3HsSJH=jPv?D~ zcvcsOV97Gn>r3o$vun6I%Q18U8*y@Ue!Oi>IFcbw0Q;_1bM)i$ozo*AAe+;5H3yG+ znP;2_KGN=(TOF=_kd%}h&?jIp_(9`*G^T%He0H=c3b(VfyJ#LARn*YXC^4L`h|LsA zCUNP#WHKFZxfb>!wqcy6r=UO}I5;^2_3zZqHv16Fls8rCnjtqT;_F_#6Iza`K{>r# z^nD)IUmDT%0*RNc`^5g=9e-uDWxnX>mBM#qreB%DJ2JzA4sqxnS+KIQUNm;}_DW<9 zSYBW1r^@G;nwkPRJ-j;KCMP2UGmk>xGZY*B)$4AI z7ByU7or4n%s97y>tbEDmy+fl|_^~ltHWTNKatn7n$0xdWOCYZgA3XS@0!G?7nlO)Y zMbXCR^M1tYe6q9D6K6d1ogYpau{PK0e_?zwG&`fS_%nk0>V)LFuaDvM#}6LZ-rn9g z5dRo@{Qv?Zux07Y^Wm>$1KQW!-QB_7$i2oKKsUBCprWL-vaxxU(iTWyK3=-o5kg{K zyL4FWQHI@Yaz|}L7H!y1!n?># zUdxn)YCO+oMI=J@U)ona-kc z_?K1gy^Rf%D@~x7&$(T@^`GM4FxjpR9RgoTVO?6#Ayyi3gK>yB6ksj!^Ckn=M z4u`_sdu^YvG+YiptiF*t`}XW=RL9)B&p!R$y?Yn-v~7{KwH*5T`Y_ao53{>b)B=we z#DeVIE)Q{MtoE10uWm~f)b5Fp&PPr=ez^Se9V>nOUvf%@?rxRb@JB^wLgRrI_4nVr zsrX4AQtW(&D^p_M?6oIqW`CkGjv_rnp0e)v+{y~x^XF#cbASHq>~+!XcfEV}?xKl2 z$+=jo71foMoZJTiOf@fjq(EbtV8(I%&3w9q&tsx$`V$&SEdwe`oZW#aw zRu$uz5L3s~!{dZ6G%qhNGgDtcz`Lk*dV0FKnS_eU-|ZTed&Q_WGbAo9Zr6VQ&!0c# zrW05DecZsrfac_x?;#8pIakMM_$8|9Ywj$5rui#Cp!A0Ro0n? zAs@oX#4{uke$u4c=PcMUz27FgAAq3#l9Z$Yb^&RHFLaZZx3xw?X^>*kRJt7dK!8P=;`Sxr|ZSZbe&U1AQKZ)o31vw zj&mh2cb4;QoDMrY1tY{juU7g~t(Ur2f2Vf={W~QNxz`Q$B(mIaAY*kPGc!GX7eh@| zl`=s6rLpn8TVA?~1Gek0wwT5UH%Ss=V&Vbp<%$o^&b5snvz-5H(LH;)&iIfBpR4y= zmtOAeF!e?5%Aani9vhFAdlSxqJqg4(KiV`VgnqNnSsVXmk9jAbQNc5&7fn(~=;ZQv zrl*=2MmNQHd3ky2MWv7*epU4g*lb0knDB6&i=3907AvbiZga0v1_uY%^1R+rl~C>M zU;vp>JFP%PM+bIiYip`z=F>9Ke9={lFQ#^T5H?4cl{X)=`Ly%-X2rno-@sL0AC71U z3JBn5stBbvVVr%M=6Lt6|A76a>%4=LQ_j%Z&vwQM#}8+Jz9`r1c@~d*>lI)zqDx^N z;Ogo8){u)9{(x~CyS^SsKOQ^ZVX}SBqXV-cPiTk-p6KFRwQ3!cS`aXdmFV{+aZAG6 zh(A=AO&K{inm1g^_d4O958gp}yn{yA9*Fl2_UcudeqW+0DVZ;$!7q1ij|;FtZ6irs zF0t2F$>6{ul$lf9u1@tEJ?{DAyfGRroEB+5-xzIlTeUsf82ef4DHTJ=ZYNeS zg4wU1C`P$91lxWNNfxZom7heTf z_!A97;Cn5$CaX?PPS6RMcA~fl>GdA9Ti*BlX1&~d5hoc#rwdL6IFolTPLq%*~ihih~*jSkYWz(*#rSZb{g=efGN!qa53uYhOM z&+FyBzG%K40=A>cauUersSj8r(jNs9FxzcScDh*(rSSXHF^4Fno0QSNE3w;Dz7oIx zn9u=4JK&PNimMkXzL_*L`=j81k1H`cDtC^SAX|<4yhkpVm(kF1IgN<1^2)RWajA#fi?q!g2y) zzza0sFZAUP=4NL#?WE|}lk(N;jM#``aPjb>Y%pdNta75WsQEEiqx)!COAe zdFCJO_5y9$NH{-O)vg_s@j@=c$k}2DArttoWr*ELCS0L$DBh&G%Zl^iFj+cKk~cWv z8^eK_-mjW>8&kB#5=zq!^MOEoALG&fn3>T??FatwO9Rno%iq>Ocl+X5=?#9pASO-% zVd+)d?VcM~88g;15&*sdds}8d{V7v8jO_8_$AS2avG26oTK#bY3$_O``$`Q5N|p1J z^Og#{wAv;n*eNNEz-qxQ)>c+~$H&_v1v6Kd=TX#3GN&I(ii`aah!Y?I>~+8na z+Oi-x`1R|TT8&-cGy05BbC?hrFE1~<{gw$xF9cE_K76QD>#z%+HUUl(cyAKHAh0>p zeFaSz)%YN!i(@p#!N)%Xfwb+`#J7_^Iy5AOZ2~5`dKi}$?S zoS(m__ckOMICT@(lUWq-dF`nMf8`ekjCGZ@J}@r1n6KkN+Ue@bwNBlVB9m=mYKn%6 zsz?sQp`xNHQ&y9cYhi;HDXOSg6K0OAD}motR8$fq^l9-F$z{Be;Si@I7746tr=8gC z5fNJ{2*ALQo)HldBI&L2N8j%M*em{+Mw`$1Ckhx}!eZfsO{#r#*G5Ub_ z&3-)IPh3JmlkDb~u;P-Eux0y{_mmUn9B(2EuGnApuHj=4b+Y7f?l>$f>^2^qVa;C{rF*>Ojk9 z%!K>;`sT_$32FQ&BqE{(#z#d({XH=F$OA2n`LTJ{KYaW-B3~hYbx9DI+WU<~%3I2ZLDoNI}7Vd%Elo8peuEb#ycy z^6BjC>|9)66ZSlmtVO=CrQoC6!WoIy5D+Orxq)v%Sps}S(uR@F>#!9rMZ+?96 zV-EZ!qh!N1lKN8Yp)EXJb2$E~($R+EAauwki{y5pLl(*RRWL#-xQ-zJ5&i%Siob?1 zVjG0sN(Q%rK?A+nQhoy~>`Pr9M8O#0de-@ttvWFb({xfOfvsP~JR~AQah4^h+&pu> zeYFjJZznnU2|j16(FhI|A#|#m9||=)-WnSl4faPnT;+2)L*V5nyAKy+qT#Oe5}~4| zM7~)~ukXL_Ps($N$7`GMS4AmD|xIXo_yXMJQKg6d%5A)}d?TFvkEf-n(M zd6v4wa+7cL`fJKcWBU5C0~rUs>TIjYOOOSAFum3>_E2adDNi_6y5%U0#(OHhqZ zUjF`=T!ihG=SP<4_|ZN&YH<_QAHpqseJ6Kj<3&Ee;v=w`by1@tNJZejYE?~j2Qtst zyML$0H~wI&$^_{RqvafYSjnAsywuS8>f+O|5{0lT;qgx@h3v8O(hc45OR~%2@FlLI z{n@47MO4%;7?~s1NiJ=ytTDujZ1zj}>e$Gq>-So`QHk{#Fam%W|HG)5PVvNUC8dZ5 znKG6n0v5u;De%c+{_W+4M1jCm;(xhEX;4_0hb1$vc;f2laiwM3U0}mAFKL*MLeM@7i?T)D*MEp2qU`r`6COvs;t1 zwYA+}U$pd(c=qgB zZpjlltKx5FbycN8D^rdRKu8Iu!6W4bZLYao4nlUNKSzx;-@22?6_+3`oAH3qa+q2~ z!gZ;HN?uAQEqL~5D;@D*KDE0oFs#Pr)7eG>d#OQ4@T{Mo!JZB!CFQwNQ0nnCiKb|Z zLT+*v#e8b%W1_@Tqr-!-J17R1jxTR!AtL;aOJrk;ot$=OwPbeI=9JDe7cyG(gDu4i z?RtCbN1tJSz7FSmx=-lo8mY``X)fnq9@(!xbva$6PZF2N7%TC5BnaQG7iDE_6a0Gr zarg0_&~0#mLTJ_s4vokwpt&1gYmGD&WF-`GUNDYB>$3nTTqx{xij z(5d&Z9WE%S(-vf<$3EaxsUXPd8Ss*m&xAT>> zB->=vm1Bh6VCDo|j>oQR<<94?+T7P-iyCX2eca*=h)?PY1;4ATGtl2GclW<~#o-bk zB^bwyh7&|-If`rNbalFXH278_ixp}}VgJB%T^z;d7ZcTQ%zjr?PTZVy?e;GL6h)!z z0TYW|;!)JEcRe;II#UV^U9=K{Ei=%=<>GA1VZ-YAUn(wvPX zZjD{zx2nl{JzpN;J`;9yX`Q_*H(R5t^D9rqBkv<=#d4N((-%?k^vX(9b=jD3o%P@8 zs1m9|D@6B=Zu2^(G&MElC=^%`DlC;))u(++pZdBooEH~U7TOVqxLBD*H@XPEK&s*R#+^z+Z6~Mx}4YgQw6Q+2i|LGrSPNsQ4Xx5omlGV3ghR8LaFxgZ#4_o za_;YEXCX{X?xInWuG-^eJ-oZ>+Y4g-^Rcj0fNdQD+^WJ*n+r|ov6Z#8EnC9kWDqMA zRhZvMYg{NS+hN-L(Y<}NXA3`*HL|LRG^C*)mdqq#Vmty7VqA^XR!g`nGL~}AP^MXK zUf*xz-w{s*;Yf%I#ObSe5I0%@onmI;E(g{)OkS^6j^qB;(~0V@KYUglcnW;X#dAE z@io`RX3x79p9-Dqzweat{&4+FS>&Ns9bD&fuOM5blJ~&Jj|EoEj~>`#Dd&UO$ohjl zu2zCEh;1gB7pd;R8!D$G@{I&mrd+4l>^&}WsXm;N(GBeneu+h>I*mpqfwkdd3o9Hv8YNp$G-8&V38EmcybQ17G#!)K{VMd~=@TCA3m$oSU2b;0M|GFw!CC&%1hlAfv8tScKxbgSf9$EoQU&{rd38RvEk%oo7?Z75%0aj5^LB^r!Ttu41PdV zT~w+-uv=1k4uwju4`UID7c{7+NatmEp{jUN7i!`N!e;jD3#DT#}SeaiRhs>Xv@(dY}8 z%gQ(-NT}c>4b3Jq`8&jj2P81v;!-x4dY*EriIQ(*wXI=4>~ljIolK75fx+5n5nS7W zh0zcu!U8jzj9%(})4w-v%-~qM)BG|~fX^Q%BvsqDZ78SnAkw*MZK&(QZ<=0TX1Q0( zD-5rp*=9v5W!Il3%W_`-;+8wuc{W(;=Q~4niLULMd~9bcBt~O0xnRO^Zni_&m_5(ut}p)7Ub4a&jmZO2k-Sv+1NJ@1i}Y$8;DY)VbN3Mbr3w{MIESmJ+Gm05ZVEV0&BJPjcdK zkt8G};@lo7DX@ogu|NCza2e%+r!=e#563F1$ZPyat0MTiLSIw!8{rYvt*HI|ebVW~ zzLLvt8P@jpeO+Bt)YPw12$;>{Ii2LWy88S3K~}!kDfnX%;1kiVs22-7yK|9=&J;&% zd)Lf<0RdRHPSZ8^eGKvH1yLV~(kBz2(r7fePT6dpsH>AzMO0m;H-CPBL#-$U06#FN zD@`-A{M^XxnT9?Nly{N)Z#9+>0oTv)8J=*0TsH$+MIzXu)-E0=*1YPCj_EXEB_Tm7 zPfH~_xyfoQ?`uIN-=W#?)MD&cx~MNUhn*N#)ovFkQpK`Z!ccG;J39?8&kirFG&MEV z)f1f~>FMY~!@?HBzPfky7kqhk?aQ2oXErZjIscqhW-jY@UCrpafx+l62Cb{bt`xJr zls+!1A`j~&L=7iBonF6RW?k^5bIgXq`!~27Qz}}Zxb!+{GN20p+5n!6FO?E}g#!Sp zTF1|xo}NW&kGlXq)NTDldki2hVp(#OhI6r@bdeDe*urIBV~W!hWoWMLlNd;&CV$M~ zJ-R=y`Kt~25#Z{2`}S=c$6_#;rM$enoZqNrdO$kmCqjVoU^2dquzg7Z9Vr?#$I>#F z^o{BqmjAt}l&4Gf-M!MQZN61RYL9p zNTvQKC71Az_z#Qm|JjEA)1ds{VmAq)(vFU2pvr#W$hi)G<$<*4Rnl^je>on~AVk|& zVz+}8X;%O-oDL~y*xK7;Jbrw%vvUHdKP*Aou?bj6&+;R($q8w%-E%1{;Ri^pztYlE zBay{&4v-$|FZQ}X#ZV%Ni<6q#1W<@f2Eri7%^sC;kOZh`U0t1${w;`|N*j`aqX9}5 zY64GrfnRhNqbMQ2agcr~f^bmH2PmuS&Y#akfJi}=pP&CoHuU~~4u{2NY&P5E1;`st z78VwDj)x%M1PlQ|IKa0rmg39-^P!!My&vgl+*wJF;g!U|`}#eV^sg|Tz#%|>oIr_X za&i(>Lw7gt+<)}o;lopawvAN$LN73K-?P&L0J{x=ZZ>7 zMM5Gn0I|ixx&@(4+exHgW>&}?sH&_il(-9V7mBfkgRS}M?@!NFT2Zl#>v+6nx|{F> z1L-wQUf2G;R*>%jXxpeir4^JX70H_(A=il9=r8BcTZK=>#hHG06d1PMS_{jm&`tsKUw7QS~S|fhoec2_*tH^M8DwpwiKz?8fy5_+LicNE? zt>qav{e(yk3LE$!D6DmK2$d-l5fWbX3lf9Ec(koR=#9yXmbJQhv`}uc`+Gjad0vem zxwf|R(`i2MU*-+(x<%h&u>l&Cg2D*ktpW1T3MiQaTMcRoS3ryac&xNcdJnmK9iO#s zL`=w}2j9;R1}lcS(6AlQZ9YsphqqWVXy0Ew3>eUs01>-7s1isfa(w#p<5q+SBZw&_ zCHp}Au24b*i48-7G4359J$UeF5K$`{iNXHMwK5-dyNq1razl7{Fb^(Gakuzm3uQ4t zzXNq{AYYOqBI7_P6FHqIPkjpNj>d;_6hNvE*lk{3UQLS>v^Vn;Idn|n^LZ>D&$6r3 zx3svJo|%ajl^Tq+@V=bRinUKf(NDaL2Xkw*2UFi;z#Mnn$IG-MVyQpE55g-dj={Qt z6svWP6sXlOk&vWzXV#z0`2#N6hswdb-r(>c9kLOQDL_&PSuFl2^?85!Qdw2?Fe>)1 zCsfto(&z-|6uo;}aANYSneQxMf!~)T1r)&<%qCAxX9RPGjLOF8lC13Q0oy~DixdSA zMU?Y!Fqa_^MQ9qiOwJG>Avz70SZ#TOT?geKP)7?E`}*8w?-jKFjgf&#K-V!TOkdw< zCh>#1)wdS56u^BrKR=H;l><)K&aS-WROp|w=-!ecNlrrpOMw-?b6RW0=xqGVD^i@& z0+nWM3wSoavC++j*01@K5aMp~`Wrb?R$eWw3ZEZI4?ceVWf8RaAA#N zBERVHe2ubIsjXStKl4C8#H$l7& zvYA2t{-Pl4ady4{QwKDI^8rcjA_=J*HM*GwFfPChv%v7#?Q#PHdx~|tfG&$o0Niu9 zK!e+AK}g9offR;oSL9k@EK(530j~wel;1wupPI!3ShRw0O zrJ@p*@4^rC{`6RjdU;_X+7-}ig`bR2r+}aoKR+u=Xv0*+vAw)-^Yw0Vu0?D7^`UN4$*vgESAYGhyz@`t{Qt$uL5uT8pTLc`j z)r#eP6SvNf@K-p@%*^$wKxb&k$OPoOzoUN=FASY!7Gbpfgy zts4846I;xJ{L)d>V-y(RGJgL06=R(`arI<(9+2}u;el7|k>J5WgEu<=*U>sBUxZ)~ zg1~Gb8yP26Xy8R(9p_q4_o10&E@*z^yJH`Q zg=198jD`TA2m}O8zYG`v?e}8>|Jc?{gWLM>8&EHVEe(xHI=%FpWirEJo(>@)eH=Gc z<4+JYU-{?HQvicuF;DI-k~a0kkeF2l1Splx8Pe!*YfM`FX1B?rBBIa#Q-s^3NG^Au zo4eu5m%F~6DbaAG^1Ub`V9qjD5RrKPgPS4vjIPY#kS{huj7q*x9Niu1yg@1ra!jQC zcuK&X7#ijuWi0FAZFRaxQ=gnFs6=}2M}R=8rKP3jzohQLy*m(@>Q7-32{4$I6mG4s z3UOEg2I*0T=S2zkWeXiMgzT@_A1R^tfnEno+1Tv9cUoS_JIF}P-I7tm#?~mC8)ww> zy;bM|%)fhX^51hMrOKJ}A_Qs8yNFV~zS|TiH(L02UK%XZ6`3XjZSQa0@NR2km;0*W zFndqH@K#~!-@1Z@gbTnOX;^qd1-0+tI)4(MTMcvuB64#Le!r6cbc@#W26Xs4`G2ZX z7mLr#WL_#`t>Mg@r(7iT!2R`K8}e6-91M8bSkHv#o$U!!I9@Ma#EK4N(u<+GKg*L} z-`qr&fZetJj^xwy^#w_4G4P4Yle_Zpb?CcM++Y5c5d9b6@%OX;1w2TJrTm?8|2tg* zD*zzJztgGz*VsXa&G00Mf9cmxFJ zbN)207rX7bvL!soK!n!QOh`mIZ+K!N&K3s(X$4PW1C&C*vGRUQ6q}gn3JAs^dmyGt$z7BJtG4L z3+sL8W7C@Gg>KA?=#Z*e7rvu9RAm7 zRmI~}n2hZqJxGBD#-m3IId5>^s*VEQ5Se&vp+wJZq^JGy2t4Soj1O^Kf7$`SY z!NrXNEOQt>hXd`|%aCMnT{43WUnnxX@9+x{fX}#HyYTS1dwTK#vbe9oXrbop>?~n> zQE%66%_kco9MEDG8WIDIpqF90x~1mWiW?PA`>z;jOJy2MS7z&9lCIEmZ^aC70W2V&p!ls?ZRA=>0+$23!V^_*%s< zf(LJlCvuF9k5>b>I~Evl zcc7j_rGc9RD9!bHm9pBL(I2*iw}8?7K?~>6e+_g@Vg)`RZL_zhaWVD~jd}~h3EIw| z#Xt^TNUq*{Ol7zycVJf`_(^G1^_Y5@cAqAB{F_QvL>coN{Z z>>eEGgoJy6d2~p@@AfFN)5OFFytzK(u(mZuMc0kSqPSiCa`h%i^tv=G3X|P^7z`?4 z0Bu^81zY0)#6;@ecW)koje<^%aWaA0^)37+5z=NiYLmL9*W3kV0UhkSJZQBt;q-P z9f37c5*8&1B7uEhj6Ss2bE@AZv@Im8Jv?|ZF*K^kW9Q{a1=~Alv3StpWhR6i7ow!e4VyE+t0~`&ngSH1 z!!Hcec3r>+BdmAlz!g#@=iJ2b5t3TU^A3nVGJkkMwIK*^^S^M{p{@*~2vtr<55njy zfKF|sH>`KD5oe|Kac90&qu{KFv55FND{gfO>!o0kRwl+Q#fkD#b7FD)aOZvBsG=gZAM-=( z&g+AkQ8*Nk>X&4Ht@otV0g&sk>+h?D{Gm4g8Luu`P%n}x$sWg~N5DYr%)`&m;Kr3x zn~Yj*n=0GfuzO+l?plhkN?#wIrP8AlhpotA!zYF`Upij9NWztu>Fu97pFloe-oH8k zhs&pJi=&uktw4vWc}x*2VUoZRH@y)sx=T>+^SF=#YiS|8>TRUg9w%j%=^r#v~3e&b&tbgIilG za*d3v|DmK%v%4=jyK+cS(bIe4d=V*GUPZflnrfiN`RzHU;^I9BBiPD+=?bFbK;Q`o zF#&olEG+!_^Jm~r8#!Tctxv}!`0qUGPdwggklj&=;bgQXQyN~ufZX*4NBbAnqMDzZ zJg^F28KaT>DZo7itu>|QGh8oT`~kfI%PguUA`W1AI@)|rM^ZCyt1<%R(~{_YxGuv# z$UvmRk_kdX<#P^?j`VJVG~lLjXw)wNN4+ol-8^su0DFp}(Rj{mHd*^=zy5TIU^rXp z1zH?kJK!xHT}J=%fBZ}(($SknLqdLu8~+w0{1)(W4EX4-FK$ClgS#;90YW9f2#!D& zbmFtMwFP_;ycCeGLB>Td-g8??ohT%PhLh>-NU?-o^h3xX^}i#A3xV*+$YIdmQql%E z0Hm*8(RQ{MD@`LY<3!AVd&Xx_+s*Mqz%$ni1c3La-B#R~1?@5F0w7s`Sb?v5x`y-x zcu6>bb-#xun<+uW}_o?kGfHIPWTe}B*1a`(nb zHaWltt8I-3e2~o0?iu-|1~Rc|i@gP5!?0p!995wDQlu;1(ZDVN+dL2L2Vv7sx6c5+ zV~C;fTb%lezz&kL&$_ZTS`&WVvx0wS=Z=pu^#t=TQ!{TpcOM-;eBZ>z<^aS+;1FMR z3BCk4J)+?{!w|ROJPv;!gE9QPu{sTd?TMK)hLmSAf!6z+p}E`KkQc;OtZ$ZB%(^1q z07fPq-lMj*flNtUZ0v7TPYE-+IU7g>voyFVsR6~cle8x#X+7RWtj0b}`E3;SE%%@A z|KWWPI?0o$l}ocgrv{Kfa7us+3Qn9B?-8hh{N-5tt>;)`Ibu-Jd=aV?CD{BKA?+Vf zU#7U6uS97WoLICyyUp|Ae{J@{-iISe?n?&H#*~$n1%M&Yg>VKM7bS#*0Q@H`DTxf) zfR9d;)p^z0@&x)xQNJuLYkrV168}-U#;JaVnQjaLL=NMhhm7n*X<$?by@w!Z0wmk` zgai=%U7s!|mE43&E3B=p*fgaU)h-^@Po%lV$Ypl>%9Ia6&bS}-E|MD+1fOiZOrsgg2dK_(_R zyuXUKtxaVxSYu@}Mpy>2qdIEGmsW@bHJRz@!~PZUqGDhm+327_lNS!0_Ef!#6A#Z1 zKyc@}I?-;_1|6$c0Qp3Ce#_a6wl>Lk)A-My*ikGP08aM%8%pQXM zj?V}}qSd-%_#@L7ho;|&h4c0v9t+)i5*j}BUMpx zF9}Lh>q9x@4!K|^MWz$wAQL7}0sP}cKtS%IX)u|r+y$XH5Zc<>S`eL6I!GyjC-0+S zWVU}@t(XyEaID5L9o53bqY!CndVl7q5Jnmv$(s+?;Xez}mvlPpu-42uQ&?pE9Z{D~|)*88n}~v-raU1C2CE>IE1W7!@0?fNS^au9MSv zd0-^7;$h>au(K$UUrpugXD4oH&}U==O5Qd*AC0yB6LW{BR*MT56Il6d*ZrWFJif2C zyoIv=2997+O4cBhqNdJ8_HEVJ5z*-gftG_iw{LS@Usy})KL(ApQ3%k!q-nA`S+x%= zZHqqzW){g)5%y(*wna9qs=`vGO*!g z|JrZ?I0#8Wd{v;|9c>A+qSDgRt|*$XppH3R`w4{CfeyUugW1}qrk8&j?`U^{u4QmQ ztv3(+Zpmaut&S(qkQUO;XmmtoS|-2hYp|^@A`Z01UH9W}^bi>&D*TWtkVA_?k-Ws0 z`?g5(IH2VKTJ<|T3Z}>%439U!(leP)a{!YG`gFYjZdy|V3>*h2D}c@(z$n8ZnFKU( zK0ZE>mnZ_QD=eg~-~H3*i46S#Zq|aJpaOhiOQd4oX6z;-50Y#6RrsU=1)erCusK0( zeW&ozQ+vL&jYLq?dwRFMKeBoHaJ4*AhM-@Z{O5C`OVDqVJMdIO^QDVxS{-@%$$)3I z%}4|tPW(nxSToz3*|hZj!R&Fge2kL(ZBrAZ* zd9;Jp=?RcIf!qz)(8#zrCmQc## z(8fewkW(`rOQQ%hs$9(cOqsl0VL1PqMe)Gm{+&FHB+D&t4WTYeLQQW4EWrM5=l7Bj$~CVvXOr9++vlYxmD%C6hS6Ao21*mfI@S2qJ7qI zjY(4s*Xw?9b&eC^w^o&*hh-#VMTA)S%55+&0I21bj_=27n62BTmxEsnec6?4n2UJU zhQyzRTs1+96>!>;!ottkY_bXpwn41`AgvMrYd+c0EV3@Fps6nq1=s|j4D9diy{fE~ zD)R71rRm0ZHve>ASK{>OJZ569g-f^d{HT3bgMnRCQ+!ykV1~YRe!nWkI~4_k=~(Sp z`09K(P30^JL!Ff)ZgPtM5iW6(xG>!QL{RuF0Hn$Yyr30nP49QA&pE625km0@^LpWl z3e0wCv+PX3QMasbB7^;891YAITF&B=t*%cLsA+EviB>@T>=k1+lf0ulBP@<>=!D<; z^>n76oNO}l>QZ6r(sArVPNOFrUBAAWqx7l$z5RX3!?TmRb~LLF%khdC$%*N(Sf)4E zG%_+WboBIxj&+0j3mYBZ2w)kUA)1$M71QPC5nPYbvJM++F$=e5=GsIhXGV-q&sT}D zLwW>_BfpLxbHDoi1})$gH!5*m`ZZ(hsODl7u|)5{mx$_w_~be3q$_%wloNJgVb~@8 z_0hzf*Otuz8)Kcg`nS@x=xV|G#-nbq?LxU-!E64H23Besvdo`MsR){*w6uq@?C-dp zd~=v(JllsH_Jkfxi8ZP!kNh>-*k0QwF6_#W{ zJaY;zWIY_W%qHX)yN5Vm58uqB2f->043AL`CWH9siYg-p5&k82F>StVJE7R14P~>gGb?AC?!Qlh#4oRGE<_6I0*C1n9Z}@2*(9;DPV0duLH{hJe;*P;*H<+yMQ-n;RR0 zMvPDpeu0*&rM)l{CzyRo8=O@ld~?%Ww7mSj=jVAASIH+1tnBP>hsJhh=$6>t8ZOL| z$x~BN%~h7xJX^iq#O07P?ERdt)jAg?n>5+C_eY2yj{oy8FCB)0@=lBNmBqb#tn36JaYZg8>4q>MvAZV<}R5r!NRhUE>lhJ%R_A~^0 zl{I4gM>e8kM#J2gs%be(UcW6p-J+GV=BurrXM+#kxiIgo=vbC5n9PND<#F~qe2S*_*3jhHezK*{eCCgQ$H!s)r~^cjVCoZj3+FHhZnCm0Z#z< zWg)HjZcs-7Z!}p%zNuuPidwPoM|*o_Jg&)fH#FjMrckqKIV_^}^emF7w?9Nw=m{5$ zhJ7P7^D{-9O1W6B&~?N+`%c>Nr((=eqtpwJiE-Eoak0yk=~Ex7xy9IVbsvbdOqIH}kkkDPp~pCqKoN>zEB_qswO87*Puz-!6e`t&q~ ze~u++J|%S~<-z=S{uAHphXMlmgWV?YM>M{veHHA*q3Nx*?c->==(`R-_W6tbl;Yq! z^dPby-I6e~-+;+vRBE=Xd@%8_^iIl~$;0)zjKfyk{BW~?=&LQCIq$As*QCg2&2LIB zg(g9}$W+61T>HtAO%*#))tKq+%n^Sq{oiSG5k~XRM!bTUQwW+(-9F^7!X)x=c6sUy z8*S&02%%3&Gc=kxEwdZ=TX16rsWovE0qjPdI9qCE>A!;%HZC%|kVfc^1zaEB+QCP|TUU zpETA+r1#47kJ;4s9m$J}i>EE@%r5tiWS10pd0j|u(!ZMgGE125<<;$0gtC|(- zP8&8gV8W$C24(NLUKBYr1}3W0^5@MVR*q-98W2AdIS)?WK|^ZRR#lv2P@#(pzi1jB z5C*-BO5YzLI-a=P%{VR6?pz4+(K77UYMMG7VOAY=8SJ;$u3VWNT=Pb0xPAk(?AvR& zKcggZ>lUnatjzzU<|H=K<&)!6sII<$RdZ#{arNocmbt{XqSL(Be$Ja6nByB2iE4K9 z?FP4*VwJ@b*D43g071L~QLP=uUkz6xN=kG5`D4*Gd@cFpx25mit+ga~29I$4>Oknc z;#o~cmVDU@7juC~lLb!M=hZ;`F$*1wsIj_3agtt<0 zU4wId8;Qd+ao6v0)V7|a>PDBx0!*6 zfv^=cMT6H|@C8_egoMnue?2}tEGsKJ+}$lIDcL_fBx1KSk&_F@n-%d7daM4&hqSh> z_aR(P4*u@lZ6A7dL`lLBzqYn0rMePY4RdvmC{2}E0;OH{mMmbOTfMSfC!3oc3y+A< z`}HDocV4)gfCb+kK)p#!_%vP=TaQ7pN#N`7BLcFCu6_<0bMtoLunj&w{wYncyY`M+ zCMFAe(Fjzu>=Z*SR8mW3INgdb4|RUN#C*H)ee|c9M-7VpI0u^*I@;RP)76YF#|aLa z>GX~ab?0W!HbKxqukS}NzUGBHnIWDEN{)fWHm_~B&8D;DEw8Vb4>w-xeT?{7Z?2Kq z8P?e)+D*$CpqgJ_r_&hIgSNiOll+xz~#d&qug z@Zu#v4+8yEpz;acA)yc0Bp5_&uYQ-wi$80i|IYtaEBh7{*u+(RFD(u-W4TXl0`pPr zIP!GK@;PtL+uVRNvx8kbXibt55`q2LCW0M3*50*$4G?84_Ak45bAlMB1a%X#TncMS zw4}Ps@IA124$yr06duFi3lK!NOMie6%gAO6V*)@dLkzk)ZVvvnGGT7m@kF^iASFd8 zGZn<%b;m1*Bk72@jR^!qM5{ZR$}_9y#C=|>-*P548y(>BG(N$7kqLp=F>HPXCL+u5_%Pw+24MY4fv9`5SB`XXE7&&@@;w0J<-vDtnO4ap=&C!#d65CI=?act)MvfyPhpg%svoA$ZpW2qzxqZppDKtWK2 z=xF2}{KFXWuN8ARpU|r9#C{C+lgRXk*1GdbfQIAw`FYUDOJns63Yxv00dej6w9gG- zFdz_-k@rY2JO(P}CjYRHq)DyFL=NGPfjtBCDz*T$&Zlrgsj~KIDw%7mLDyy;~!!Wc$>c{;Ev`UeuNuAb=g44#KDsb?5yt zeZ#pH74Asq1$Mi%D(jf??stqeFTWFULJLzz)`wzPP^ej0Spn5RWStW4yKLs;RBg_S z?{7+$fc68#b_l$>zy$=&YzY$5SSTny(y0RC32Z}KrT~v}UFZl=$X9*FV)4zwbbv(~rHI$vwmYSrs` zpJzXN-}~OzeO=dmZS?gdg9o#};w2^5-vOK*Q{)4oO5?pT_TBUaaf`N}d_GocqpFQ*HyL;x>><5z`Qh!?C91z;dP#+pWv-QnoiW9GLNG*dcIV*vQljDA=J%(X5 z-4^8#p)N$r%&r;`H(S!pG`5t(QRQt@lM5UrQcZi>JUu)TbyGQbdA;Rhn7p%P&atlF z!$Bu55$K^Ot*TNz7&<;3SJ~Pg%_=Sy#u@$O!nO<%r{VIga^eZv>SSu4ZSUewadc7! zxp!U%^iL@k|q$@LgO>deUxiztp#WXdbBSW^me-^@`Y?(t9Vz-X>eTm$B0>{KYJR;qwbbJ139aU&qLGQJ3}W>Xy(Za%bn+NsgF+ zdHcrZ-D~XmeIvN|NY$%0s@>TzsK-^qp-3%q!-{5*Mw}yQm*VcIW+5;d zx6*?PpnT%QdRp3Cn7yF}l95C+T;n!Uz2lmi>`IdQG23uTg!9c0eivGVZOQo>yA&si zR!w}rGtr>`l*fdtM>99)_5Ccd#M7ly{i7J2Ay0h8%D=zj73v=5;X=+DEEpz-9^n}m0fSeaDq-aabg@SKgUBwgB z0p(%VH9PnO9is~>Ot?4%g&D#^d1)ZH(6AamDS{WH^*kO#hp$yE`~K= zq}#A~iy!dL9gv%2KlJkYJzcn%XlZ%bZ>~2twEWL>i50(pO7(evy6G(p?(Khmf406n ze0&M0Hgt)?iimPGWrwc+F2$!hJ*Pbtz?vvt2vzWnca#;Qc6|C}z^3jN=J2t2jEU>i zU=EzSY*}Fy)zdP|ef1jCFarc6^JDtC+azm}YSvJg7Uc=`aHkKiEkyW;8QcsgG%)_mGO|Fb3fE{i1xv zU(_W0Xh5^A>1rysH?Ek>mQoyvXQeo(zT>iO_}v5-*yz+QN_x`GUANx&hrZ~a5$8Rw zs>(bYCb4JF9zj9X0bZ)>QFV2isT&Qv%7Zy;a%nv+#5ocZ;tk9{y%eW%JAyD$0;bFe z9*M=4yy*o~-gfN-R68@kd6#h+1Jje9jt*slT9kv}nU*fF{?{#xwm;{}Nj&*15r#@g zr3$mB?BY}-VQDiiv+&ao1?z+aA zj3vI~Os>5dz%ta7YWwW>wCr#jOpUy@0My0}H^vgY_D~?E+n0fiq?=K2a!jr4=2X;7 z!1Uh&5e8SqPdagqb!Lw_n{(`X0LOt#YgL$l3dcnYEd3M8QCct?MAe;Ca}cv{MBlzQr}RfPXXj3vddYh_5e&PMv; z&l%_spjzjQizx`E;7R2ah|Qo<=>EIwA#U94{8>?xCP8p01Hl@MFYWf4KHQ`)j5(97@-z*O9@_M>eDowWJm3|cZHFDq~ z6>&ySOxWw_=-f~wqizQTbmihkTU59k4b0776c!d1<<%Ldby27nM)2o;4&D>9Bm^i{ zm?EZCO3xyv3_ob|)FM4r~R6ofzYu0#QU7!|^ zZeD{cho4D?_28FW+U(;?3wzM~E3=gUK(oiH^q(cJ31I{qGU z8AY4KJ=sVNOUpfj7B6YV0Lf-O zG4-$bUPN6kA|k@@%Fkjj>24cPr_f=_anD)t*pin&`)*g;x+^y+{+ur;A9^S#g<#>H zfxBju+#Trlx_f#q>2IVdGS7Gx7k9~EwH(*|(zE+7;x7s@U_>8A(qH!Z^F9HA1`I4Q zi_h-gs?2r2L93|s`0?YlxzwJY&)eaRH)z!fASl56&IKNhpbW&u#ukjerCZM;?A#ao z5ZP+#Mg6U#pOym}W(np2CO7<(1g69sa4LY(5f?qt>v`SdKMa1t?2wjYLL{=66=ycjI^<#CeX;H?H(6!a3DO6HKHLz?#jluE=`BJwvGo9;YrH`z^Yt^Z}fPD+Z#A< z>aA>L_$u-e(c`7!?p;2LWRM1ur~ZN%>15O<1{m9Nq;j95#^jcIPA?v%Ntc;^%YUM2(>g5*>JKubVadT?+M+X&nQ^;&3eNG|Woe?l+z(RZ%cs|?oeC5rX% zS%oJfSeron%pTpMb6T++R#}Kt;>L2ERI|*PaXf#%8=Qi#sNoeA6~W64Syo2^^{_9- z=tkUUtcjIAL^8CTlSK$AA}1pwltlADva@T~F0gZmgAKm28f=}!yDNSFY{P2XkN`{K z72x-7R=ffbtneVLe;L0&PbYc>xLa)7q#Qvj@pSK;9kkr;V?(g|Aj#zq))oRM-EW+~0TZp{!XR zJ}T^WOKHu~&eje7jLRDul{5F~`}4k)yKun|&-{&X!p8=IforP!U} zu@e~?X+6s>4dNQ;P<;6YRv%j}M0MtWx#e4?>Xy})CMDWlWgzYKew&^c*a9bbxN+&k z@dsHOzP^&vITCXJevFIMJ}bn?Lwolg3(o|{MyXI90>S69dB}K?+MOI4Ii&}N(RQgb zQndT`V^ZV5qqCR|>zQc%#fWPWE~ag5rh39#8%4!jY(u)cD=)M>j^^<;PSvfcsnNW6 zln){p;COmEZ`6<#xVyh*;SWD_s(XGL%L|1V@4$cnBhj$>i)LMALW28wUo>CXcj}c1 z#9_P-*6@ywj>4VQG-IRwcHy7eg5-ptr@J#vua0?%ZL^w`U3~mDGbca4RCrNauu~|= z((W2TmgeO>iRVkya~L?@<-weuv+q;2$`@Uw3byuOOaa(7SBJ3!9_@={{LS)QFc4-f9z z@pbzInS(@}H;J6@9%nQ*z@f&}caD;roE;$-B7ROzTGqb^ii~UrDThhEI$a`LXLl=-v=QD{ro*LuLfKk>nGP_8TGlZVp~MjZ-_3+6o<3 z-7WfOxj&7_vBCes4$`tM|94+pBv&-fxVrm-iBdO&Zw(y#yaz6SE2@#%!o<{MHHV@dD)g7_?dzg>Qdo&YqaOuSw{(FU ziPx`FB_5|5isIfB_IF4>cA=c4Ze;WwqyqjecVW_Pc^sg+GFL55x9R-!!=&Y?+j%46 zDDah~c~k<&B$Qt+!P^M5J2-m7U={+vz&t!|p67a2bKp#WhNk36@C11a-F!rQROd&| z3ANxO@wFN*zjLMPaymbT2MhGy(;%0VPVJkR9m#T6R^Gjatl~`JxAO{+x z8q0&S0R8S&_;_KD%nSH;XD(_@N!REJdk9*CS*-Z4*n7+BPg=gV3@h_UvF&B>kRE*f zP$J0UcWDjxzIzqn=i1WGBr{w8IIYJbHN(TN?|A9>$xRvN@`dxy3{F^JquaGj5g_be zVBJDw;sj;mYh>j}>crZdIR9D$>bw0z~ zBjuI5ltC_l%OhE@RZsV>A;^1ELl*kXf{ONY2b)ybgJ1XGiQ|T_NUi&Qz}BUu`f)Ef zd+>w)&K=?WcIq6``n!U!4}$L@IpmEwsB!9X2i)HqJF2}2ywr>XP(V=7o>8;Ek4>tK zu}_}@cV9OrLnC7JFaqYEvsq<`hWoZ0?~0REYBuX}zjDopwPk2+U!!!t+RPdER@WQ$ zqZ_?bTHQbY{3dXmn*;SB4$f_v5uu^|BO`(}E}nsfJu!YYudj+(XPL=mQa`4$epF*2 z&JnOMTLwhpa%j9T-isi#)UzXnkq;k!fsh;K;SANVs%3-C|JkDJn2Di_5n!f7%3MSB z0@(29^J!PhJS2Am6v!{#8jC3Bf5X5v8rdC@3chl?d-ra_!Pc4SuGgjQKO4j^7?x$W z^6YzQv@S!Zlx`wsU=Qn62QkBa1I#>auH>wR2=^?}nVGiyT}7H19t{CZ#We_p7b-@aEmLZTt&-jBj*TD{Ca_m!`-KCJrpc->2pJ>jXM zS(YXRd3;-kR4a|%>1I`a z{r0AFP??+_$^I!uVyO2U6Rm{l`du7?g03@WnTdBFa`rd)+`LJloYd(1WnvYz-j9c z8+*J|G)7z|auZ|t@nDksyu-{a@2;Cg$nXQ5$eK~Ty}i8MTdA0_j`0Q%MX9wk61iP} ztZUBllgMk&UFjs3n|np2KQ8h`RW=K_i|)D_b&sw1WhS1y^J>2q$82cQmhL}5njAU~ zm3y52CrR~po)hI_V5B$Kzh8qBP~cyRnjY9(&Z>I+Id1ts4wb6r^s5^F7Ju)4NF0x* z>htp6{C9RAk8xN0_3%Q(t3z`90w-&a*F6;vug&XG+bB{|-DK{R@TTq`C zM1+cPu066bkrTQ2JxbYDNYL>DiBp$Xy*Y%^o1N86gur&ElOMA3D!C{ufdzVHa_G-_ zDLHQKwCsFDJiBQf=l9^oeX)BDER>kNC?y)gj$pOjdLvic~{dn++cC7zZ;Ya$d(vQK6nUEcC`vQChHkOUPqD}Imn+*J}N;b$Y( zMIQx692*GaaKOH7WAogw@HN`y;0UR3Z>vpb2`TaTEjN$l(01$z_ohew;?YD0k?!v9 zXAVp+mtt_7qr?>@f1@Kv6gnu1$<4z^*a*l<>K2Zp2)d+t^d>+()qLM0W@ z_?~?ODWGwFANIx_h!-RI<0|d1uR?;YZ^ga{>=lWwq-og$AQ$FZ|JbOOeiB)ax~qgO znN7~O*YWM^poGh)r9cbN;-tvN#ugnDgGK@(&uIr&|NBhDgpDNfZ;GZt11tW3ng43P z-WF$h?|)r;Oc!7nUbnpWnp}@KYGJ(b4)ULhU5fUScqmSVdzT#@BV?|*LnhHT1S2Ls z?Uxj9@0u6;m+%#2B}-%RcUF>qoE`EJ_#yzvFgNc+5URnKvLW_O!7G4W z>_p1<^5s5&V#_r#;ALO{z{#3=VaIJ2S=HSsfId)Ay5aO3of-@wN>MM2x5QC*aTam< z9!2Rs;VcMD0bcgd0#)ZSq#Qs3vT}#h?&u|WG;*gR^&aFdO37a^-3T~m2?2?2@yc&m zVY{5%06D%bvu>ZG3}CWS#m03{cJe2nuo;o$z(gOS%#|wGZ@yHA074xF65fv=#)%1V zMMH_A)Pw+|;ff8tK7ri?2S0OIM;}stK2;|tn{F%VUmq-O)(?=5(WG@B7GBP4kp0>& zqv;$Yj@KXm)5&tF3bp^z2J#=AnCj1w+vFCB^sf$<1Y-Z+SN!jB{Qq$F98`SootNhZ z7bK+f!4ne`wAQRXA8J%nPdt78WCvXJNetyl)9w2Z8Xy2!P z{(LSq**Nd0t{yNH9wV#YCB30PU%}9@9nfP!t+p8|7u6j%obXZXKbflct1o^oDTyC- z%-JZL;g|JksHV>1xccU2mO)=}slP&$`_p4fhd}=j2X`^TbQ2I z>Zs4FYfA5%wnauonG3(*!O5qhqCz_+Hi++2eo=h9c_eW-L3@&THJ13Ickj-DR9-JL zyfFJIUo|kWF?h0+yUirKo^IZbwxxS)tSnzbRW-AGeh4lgL}!~g{u6^OS%NY$h6B91 ze}$DJ^Sq(BF$$y0WQ+EFzZMjGJ_nXLnU-9n(@c*~tcxzSHvo&4a zLe{BYPj7FC%l}lsq2+rQ&YO~xwq!&&^X(&=f{ITU#OO!kQ&K+ry^OOD9-tW;ZxYo> z3QN;%6rCop`nWT`@n6O4aw<7lUvyJGcMHk9nB11H0b@y$eAJ_@t{px?tXWpE>lk^s z?;N|!t$NbLI2?a&BsnHVib8s|AfBoISz(>M5w8&mHI29krb zW=1(+y9CFLS)l6riZ4ld4=j$x%uGzwreBpDe>U=XkTd$nj~}Sb+U5LApamzG#96k{ z{iXKI;DP?uyt#l@H>U|6he6#V+)lj=^5iPt?T%Iz#!)L)fkMlBaE*)&hY!1DPj?xS zN}6|48eT?mM?A6XDYG^#g#I)7_`^q{NeaHbLs@1My<@j_Bm_zSzCAOc-m`Ug-D6Ry z>f*a~QILrly3gj=O}uAJw+f%vXOo(_W^J*7Pnl<@U!djp;#skZLn^D*HZPX^^xa;U z!MFX8t~&q;fJOEb@!?^7sQD*758&kGc~Ww8W-x8+R^($gkbm2*J~ZpVEiKG^s)-uc zZ+ChuYj-@;GN#16lrCw?-AmNUq-7=?3G{Ki(k76o^bfM5$xUs9lqC} z%wxgPf4!FL#}Ac#s=bOb5wTlh#SCNC$Xy(&;9s3?|6D4Jk2jjc8UHFxI5S)&IPM^r zXpM|L{+ziwc0DI$Wn-r+LNwl-ZF8?HA2B5K{NaqAiIl$sVK#3l7%)Trl{os4Rg`*LTIL2wW2qtykb^dAW#?IeT zSQuJa??DGwMn`BBwg}{ZS^ISr0e3p3qr(t8J3Dr!q^r{gB8Km6Y?M_Q;Ubb!VE;Z^ zzW#HzZaT%qli@{-jjDa$NfEImQR7-Hyzxtfn!AO6#-p>V5qe*MGw~5jzb43N#T+Yb0>Q*Ot|Kh zXI3s4xtg5N7St;UHCo}M@_~;pf4o8xO?;u#waf_*M8i*_v6OME^~MRQ;iy zQsII3_X=yqc3b#uJ6I)M-qo!w!y3i4rDV}Ja3=lhfR=E^Vi2@_uo>!RgFHm(X59`>3Vd@dcIa=}lk^5JmP zIA8166=P3s9?EqIt@E(@y7S@Hx?R(a9=YP;okNz9-R441zoy-ha7YmLw3wQGGs@?Gv2BJXdE2)7L!Mm`flU^oEIzmwx2ZWl*T#ws9yQN3?CtJkuHSy* zX(oAsZ<0N;M~6ksR|_N2m}Sf4%O<{wiOFGhm;%oqdwYBEZP#B@1tq~g=n?wOX;qI7 zd`Vawa(tYmc7Ht3(ISZ}SwPUQ)uDhmn2oaqlL*^pWCem4LBZK>YT@r+>Z@TP)606$5c zna`o8-LlRUumr111%-`IbB8B|esp#rrTzYhQ>Cwq@6j&R_m+=(DCzDu)EFK6yf`>H z(VM}PfPxOypml?HwEPq2Ruz4i-^I1Du7e* z3`$bpif+7l^9HLTCnpDV7nqxY(*(Ai(U~J;YLvI?S53H@H`Q2`I}GW~pUZVf)3DR9c6^=Sz-q=7@ zU!Bd}-yCG0YtB`nWpjE&fJ~n7X?f-CNvam;Z}xNF9sO>CGNkmCG@%%-sHfhV>v$>Y zk`B5YnzO%q#l6YxAlNRw>=_ov*0XB6nlZ8lkEnKwM^h*t9jtSCxfpZUqerLgcly^@ z`+r)KyRFLE+dX>t>b5PHnRz8McV~iDblbxtXjTJ%CZ5iz5h%QdMzQd8u#a`xA@$;* z1TQ&gA?(0M0n@K08N3F$4;JRXaBwn(4>tsBCvLu98o}>AenKnR_vr6Q9XC;(;9}!r z$B&}> zc+K5Z)!>y$DFgsp8`i|8412wO_YNu)-M&^iPt8fLb@ZC_Yw{l0z#6Nx?(JP$E9L-SryKlw>iOJ6bHQ?<&=~jeFgW;psxFbP<5-Ytd3I{>MO&nb zN?CQxAWNZ5hXR^@<+UgCc-Isz(z_s<@x`U?hkBACYgmOkh z*+6tP1@H^ug3SDc2Am;L1M*{+Vqs#6RT$qWeKhTYj;pmFyRccHR9I~vN_58~qou~1 zFBR`ebx>8+%LzokQ}^N4ZPJfD>7P%ueK`|TaulPs1^fQF2+pyoXOFhN7<{{Cx>a#; zUhrLmRtZUJZhyg|d+hX7zdR$?ev9qq${i8CX_dTETD^nHpB}ahajX?BaLsTYDs7L~ z(dT6hFjwjM(c3pAceAgUd8p}e+JQvfBM}iy?fS{={QBDS)FW=hlBm=5yIAw|Ma9bU z5V?)gB}q0S4V*J`a??B8^`U)q61&}PJ{)!++b%f`y8TVWW=QU z7DWtAJLFdnChSe?;>Rv*ZpqS_8o6-Nzy8HO!!uuZ_Hw)0KC8T=u}XS2B7$#hgXWff zYF1y**8C{FuY`1N6*{2uG7IcCOWORHh<x<>y3^R5{~!A#`|upjX%z8-so>>s_0h(*~`KqG&I>Lqde4-W+}jT z*KznMBX>zt$lJF(95;0p$yDYQ=CQ4LeZA_rjy`%B(Hpi?CIheV^6kt2y!?mVeO5Ev`rrXMA_9EL&7?QO zH5$za9s0Y)l+~)rtsnKPR6-F3FP``-q`ljcU#i{B&QXt)u8Z??<(;JC$fMA7uMaA|A{D)9c(^W0a5B-fPb=P1R+eWsxu82g zzqc=rj{RDGcJ`y+rkWP)Zui*Tlzlvvmgu$Cs>hO(c`p{N8K0ym(XG#DSsAu(-K@4J z?_+VhXJAX?AWR%PKiiS@ux3`qPriEf3VSU0q`R;^Jwr~eft=C#mK|9L&3uAbKE{b~ z;O72DRByCLJ_SpMDkFm6EUxXQ9Q_wyl{ndc{=)ggza($F+O{AS>PyrFH96KxxY_76 zJLzy@+=q1C6YCD8HYuR_9=Tlu(VTP#cJ~T@2;24MOm0G+r6!y3XZ6K>JUmqZSE0Tt zmX_F{mI!y%nCf^0#BKCz?w3BrUtp4~pQsITz|ldeJ!wt*rUobSu9E`pVZZ*va$PR2 z6BT%?JE!b~kfQ@IB}&Rvc*JE^Pj2|q?WSJ%$g#v~qPmTLA9+7~;n;-KoL|cZON*`O?5W;JJg@#)TG+gcmOg2Z?k>vGRAf zfHVmLaae;#3euD~l*hr~GB=>%gUK?0r7Eqgi&G{-#1F!51a2r?+}xM&gP`;h7KSP+z6~DxzYh)`0)=dGVY*O{`7OcxM?cC$sVgs! z)oI7^c+Vu#3i9(06)w&v7aLdS`g?B|x82Rhhb|E61G0~J0EbOZ!uYm6mqGibb^?I% zBE=osw{O2Rbm61GAt@<%{#M1Sb0*R~Cwjf-+V@2}Fr8hCyHQbAuEV2)rj3@@bXQ*0 z;pC8#QuXFYV+a;Q9g?`{^U|pDgM|~{A;lpSRt|nR5~q6Hf{UxGN{EnrmlLxBS!nF% z&m8BU(P$8khY0|cu}(vE-Ibt6BdGAlMY`){mpV;51@R1^w_cAo%dDK1#SnSh5}>p4XmQd1G2hsKS4uY#>uf&pm2gnfGR^KtiRyt zf)O+rkToY6`JGwn086F$cT-q@+}6@R?G*gGJM5XQAerOW_58ov#JU)fsh2)9_Lg!~ z0jyKxR3P$rCnOMqh>Acb%1cWHCVEstz2{eYEbgF=hxJMrK7s$;e3}bdn(^yr0@A&L+A-uz8A&A(a1$HFx(IIBijo*R`|!|EE9&X6TDo*{>-DnT zeO^`TZIr%6(6p-6@8<|Cxwq|r^sjHX;FXQ{?E{bc5YTjnBG>-~O`0iq&w4sW*Dx)R zkc^Ix&-N!ITm#1pMre{9mY=nQr|E-0#0NE_C zOa83+7VE<8e;JcOOTlphVs>QPOC>vo!zThK$i1Ei_n4^Owu)ES>@R0ylNuJ*@?fuq zQf5B*@Hj}VUcH({yZ9}>3Vmfmh0TO48uuq&N=@sDa7#iJ5+2Y~9Y8V>NRlm&O&MqC zty;B;TjjCtD>Tyc1uOie=bolw(6tB$q}f;D!e%E+9TVzjuqfcLSvM8aWU*o0x@{un z4-`yS#*+gvI1F*O2QgChpj(x4h=?F&JyVtbZBmNnV4+OR%&_FTq#M*4E^|#MkrJq`}mK7D$y^LDZ+L-42+Ol*_ZH8Do9zSyOHJcOmrBor_Ucm86AMWnf@li z*Or?Dz0Cvp+uGW^qfZyQOYPsUmX}La$4Sf_iqjY|jmqA<6wiTxumJ5akiT4lr5M^= zz+ddCgS=xJTE#UsHiAEuo1J~pfQ~UUMiMr&E+Ylg5w88u(dzpGNX6JWDk>|#U|{x# zDB~LAKYxm&MXI~|0=V@EhYNG#m3+nq#qqZzBX^MCoe^yD7mJTXc*Vz$ih0pgnjGd! zw{voG>2@ebIWAN@c7eQzanmLkj!n-`w<9=RG6;~uwfRu&fI27+5|&(Oj*|5Rlm^3@URNEHWAl*rt1w7qCPDwfnz96a1z`inazaK1LqiZ}%nVo< zT?-;8N{j6v0TDd#T+Y>Mvczg<7c(L&mw*2Sx2%}v2GC0Y7g?ipjnJZ# zsHf#RODCBB?fdsAEiK2*n}}a0$6~UwoIop+4_z4O?1Yrh8r>eMjZ^J=tBf!!@t6el ztN7sKS}Y(%b{7-y*#Yrc);ul6(FwONW&EB-pI!5iMELL!+SfxvFbrJ{@Eifd*K?p5 zpdeqBD?pX`ei#GtQ{@G*s$BHW%&=;vgX~4yPNkE42J3>0-EHu%pIdIKZ8n7h0GsjT z=qL>xojzKr61f3K9vzBTUW&J?(;4?zPz*KipwfE?xVdH{bvA3uPb2 zw70XdIR-v+!CwasXvEbff`Rh&R-VJav)Vqw(|dNL32PPzhkm9-Uq?qR5HknHFc9jDr!9tR*pELu{pN?j=}3IE?6zdERbyp%%7E4hseAcgiV~R$%=~L zL=>X0I3eCgP;i==F#C|9vxk?rKc^?6HU*;;zYbS*yg^(QVw!rwpzzA?u@^fsu?C<` zhgZWWGFWI5FO*Ip0G0zF#Igf8_!zMTP(tv&Q?{6g@GgY)e?om(rYjZIH@4heRCz@d zns37nP%dDj80#!W@lflK1tdOToO${BIyyNSrk(e(j43vD>F^QDbsWO=G}qqIk9-ft z9JVeCOnI!pf_a_d_wR4tx#Q;Q3NbkT-Y7aX(!K~GoPf){dUHr*XL@87PZeuWuoWwy zT{~7U=tkpHQ|!VQ)wH#@kQ}gnpc5jZx=P%Et@Mh%Y*4lMB_}5r7A{_2u?mZFc+77# z71b0}vPIIHsj~UtN(l$@lc=3WMjG1Nr(2#=P*_7E=y{z+rKP20K(p<8y@f#U!`7^q zs4cIKj6{x%Z_iphpHSbNZPNkk$A>Ko;Qxa01bP1?7=d#ToXL~vm<2R9cOfm<6OD-5 z%$|uA!htuY%A~5kc@GZ{gmH7|gu&0tD*-(&xVDBaT}<-oIOeRS-#Yr9QT23ztB9Cb zmizn+mKf2|05ToeIJP6c}&TVNm@uLNtKOrfbhNUMi{-nWf2m%8qKfAN%BRbH)H)a=x)pNLgzvPZ?k=JnOfo7pS<{i|sguRX1Z~YZi*IO}s*@{Tz zzw(8vWFayVkr&eSu3^Zeb>V&ik~=6$Dsc($O;lGWoZo?;B8~Nme|7ga)&(!DFDHWW zo*C4^mmZiO+Oha+Evf0e=0>)Iqt_N^4OLVs5V2vTz8~yN^GI1TQe3UVbm(=E)uO~g zzfI^pnt*d~7~`r=zj_cLGpp9G_{xcQI*6{H4RBP4AVc+e6mVoXxlQBA+TCXpi;eq`gyeid3=NeNqrNPN(@lyWGDD=N1&~PX(YLT; zA`%JA@%-6#H1!(!@#7T&2>LEzPe9X`pLp>nl@d4D{2uGV!XRc9DCv9WXW<|Z|JiFZ zeQ|;OaG31#-z8^JIXON)P#yCTv4^mNZ3)ORk37i;*2Og>6Fv&(h$Z3t-2=!fPB)g! z&#`yV60hu%iXJo7P8uhtX(UurSmGw1;8#S9G8)*{Y=mi2JdVEo_;GT^3pOB(T*}VltBHO8 z#i}Rh-ownyOn^t8s?YDCM=_)x@V|kuRwd$)IKgLrcSnC;FvtR~Zf>9lw{5s4i22Wl z`R_DxMzEY}XF}lJxd&57u4>zvf4j_2erf&s6|3)))CWiPC)j?Qh_((pBCk$0f!L1u z3c=uSylvDrm@+S>>PiEu20s_a$vd8&3+;>ZkwdgEM1h!qod|O#kt<4SYE@7#D6xwp zp0vE}@s37pl{$DZ8(u_fZV^(3jZzc-_<6)SWG9%Um+xHTMjKCP?yeW~K46K=UOp%? n(A)m!PQ3r+o9_QC4VYYfs{BG}rv6AF@rh&dD&!>Dvp4?-yiB7D diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index ddb7723e..ea82b44e 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -80,7 +80,7 @@ exp <- data$mod As a first step we will compare the predicted intensity of the NAO index for observations and for the forecast system. -In s2dverification the NAO index is computed using a common alternative definition; The NAO is defined as the first mode of variability for the sea level pressure in the North Atlantic region [20N-80N, 80W-40E]. The `NAO()` function requires as input anomalies that are previously computed using `Ano_CrossValid()` function. +In s2dverification the NAO index is computed using a common alternative definition; The NAO is defined as the first mode of variability (computed using Single Value Decomposition method) for the sea level pressure in the North Atlantic region [20N-80N, 80W-40E]. The `NAO()` function requires as input anomalies that are previously computed using `Ano_CrossValid()` function. ```r #Computing anomalies along sdates dimension @@ -105,7 +105,7 @@ legend(x = 3.8, y = 2.6, c('EUROSIP', 'EraInterim'), col = c(2, 4), pch = 15) -The figure above does not represent a good agreement between observations (blue line) and forecast (whisker boxes) due to the large dispersion through the 51 model members. The NAO signal is too noisy within the model ensemble thus almost disappearing (close to 0). +The figure above does not represent a good agreement between observations (blue line) and forecast (whisker boxes) due to the large dispersion through the 51 model members. The NAO signal is too weak due to the large dispersion among ensemble members thus almost disappearing (close to 0). ### 4-Quantifying the skillfulness of the prediction. The RMSSS @@ -153,14 +153,14 @@ legend(x = 4.95, y = 2.4, c('EUROSIP', 'EraInterim'), The above figure shows very different RMSSS for different members (left plot). Most of them have RMSSS close to 0, thus the prediction error is close to the system variability. **The general RMSSS for the whole ensemble is 0.015**, what means a not very useful ensemble prediction. -However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 8, 23, 40 and 45 are used. Now most marked NAO events are correctly predicted giving a **RMSSS of 0.66 for this selected-members ensemble**. +However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 8th, 23rd, 40th and 45th are used. Now most marked NAO events are correctly predicted giving a **RMSSS of 0.66 for this selected-members ensemble**. ### 5-Quantifying the skillfulness of the prediction. The Brier Score -Another option to quantify the goodness of this prediction is using the `BrierScore()` function. The BS measures the accuracy of a probabilistic categorical prediction. BS scores perfect prediction when BS equals 0 and worst score corresponds to 1 value. +Another option to quantify the goodness of this prediction is using the `BrierScore()` function. The BS measures the accuracy of a probabilistic categorical prediction calculating the mean squared difference between the predicted probability and the actual observation. BS scores perfect prediction when BS equals 0 (no difference between prediction and observation) and worst score corresponds to value of 1. -Moreover, the BS can be descomposed in 3 terms: reliability, resolution (negative contribution) and uncertainty. Reliability refers to how close the predicted probabilities are to the true probabilities (i.e. the lower the reliability, the lower the difference between prediction and observation and the better the score). Resolution relates with the difference between the predicted observation and the climatology (i.e. the higher the resolution, the greater the ability of the forecast to predict events different from the climatology). Uncertainty represents the inherent uncertainty of ocurring the event (i.e. the higher the uncertainty, the more difficult to correctly predict the event). +Moreover, the BS can be descomposed in 3 terms: BS = Reliability - Resolution + Uncertainty. Reliability refers to how close the predicted probabilities are to the true probabilities (i.e. the lower the reliability, the lower the difference between prediction and observation and the better the score). Resolution relates with the difference between the predicted observation and the climatology (i.e. the higher the resolution, the greater the ability of the forecast to predict events different from the climatology). Uncertainty represents the inherent uncertainty of ocurring the event (i.e. the higher the uncertainty, the more difficult to correctly predict the event). In the case of the NAO index, we can define a NAO event always that the index is greater than 0. Therefore, we can convert the NAO index prediction of all ensemble members in to a NAO prediction probability computing the proportion of members with a positive NAO prediction. For comparison we do the same for the good scored selected-members ensemble of previous section. @@ -211,7 +211,7 @@ lines(BS$pred - 0.5, type = 'h', lwd = 4, col = 'blue', yaxt = 'n') lines(BS$pred - 0.5, type = 'p', lwd = 3, col = 'blue', yaxt = 'n') axis(2, at = seq(-0.5, 0.5, 0.25), labels = seq(0, 1, 0.25), mgp = c(3,1,0)) lines(rep(0, Lmember), lwd=2, col = 'black') -title('Predictions for all members ensemble') +title('Predictions for all-members ensemble') #For selected-member ensemble only plot(BS_sel$obs - 0.5, type = 'p', lwd = 5, col = 'red', @@ -228,15 +228,14 @@ title('Predictions for selected-members ensemble') -Following the analysis of the RMSSS, we compute the BS for the whole ensemble and for the ensemble with the selected members. -For the whole ensemble, the results are: +For the all-members ensemble, the results are: **Total BS = 0.213,** Reliability = 0.138, Resolution = 0.172, Uncertainty = 0.248. -For the ensemble with the selected members, the results are: +For the selected-members ensemble, the results are: **Total BS = 0.136,** Reliability = 0.015, Resolution = 0.127, -- GitLab From 4f6a0218a9c0bdde00f91272d51efcf6c2d09f7d Mon Sep 17 00:00:00 2001 From: jpena Date: Fri, 15 Mar 2019 10:29:35 +0100 Subject: [PATCH 15/48] More edits 7 --- vignettes/ScoringForecast.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index ea82b44e..9a3ed3d1 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -241,7 +241,7 @@ Reliability = 0.015, Resolution = 0.127, Uncertainty = 0.248. -As expected, the selected-members ensemble presents a better Brier Score (lower value). The uncertainty is obviously the same for the two cases, since the observations to compare with are the same. As expected from the RMSSS results, the reliability is much better (lower) for the second case since the prediction probabilities are much closer to the NAO ocurrence distribution than for the all-members ensemble prediction (see right plot in the figure above). However, the resolution scores are not that different. This is due to the fact that although the selected-members ensemble has a lower RMSSS/reliability, it does not always correctly predict the ocurrence or not of the NAO event. The all-members ensemble instead, although with a higher RMSSS/reliability tends to predict better the occurrence of positive/negative NAO events (left plot). +As expected, the selected-members ensemble presents a better Brier Score (lower value). The uncertainty is obviously the same for the two cases, since the observations to compare with are the same. In agreement with the shown RMSSS results, the reliability is much better (lower) for the second case since the prediction probabilities are much closer to the NAO ocurrence distribution than for the all-members ensemble prediction (see right plot in the figure above). However, the resolution scores are not that different. This is due to the fact that although the selected-members ensemble has a lower RMSSS/reliability, it does not always correctly predict the ocurrence of the NAO event. The all-members ensemble instead, although with a higher RMSSS/reliability tends to predict better the occurrence of positive/negative NAO events (left plot). ### 6-Appendix: Forecast scores ranges -- GitLab From a11e2e289cac36c58fb6ddd425b83cdac9dfe715 Mon Sep 17 00:00:00 2001 From: jpena Date: Fri, 15 Mar 2019 10:56:46 +0100 Subject: [PATCH 16/48] More edits 8 --- vignettes/ScoringForecast.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index 9a3ed3d1..28eb5959 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -151,7 +151,7 @@ legend(x = 4.95, y = 2.4, c('EUROSIP', 'EraInterim'), -The above figure shows very different RMSSS for different members (left plot). Most of them have RMSSS close to 0, thus the prediction error is close to the system variability. **The general RMSSS for the whole ensemble is 0.015**, what means a not very useful ensemble prediction. +The above figure shows very different RMSSS for different members (left plot). Most of them have RMSSS close to 0, thus the prediction error is close to the system variability. **The RMSSS for the whole ensemble is 0.091**, what means a not very useful ensemble prediction. However, we can select the members that present a better RMSSS, i.e. those closer to 1, and recompute the ensemble RMSSS. This is shown in the right plot where only members 8th, 23rd, 40th and 45th are used. Now most marked NAO events are correctly predicted giving a **RMSSS of 0.66 for this selected-members ensemble**. -- GitLab From cf879cf84a0eabb9450435f7e5265a294a3344a1 Mon Sep 17 00:00:00 2001 From: jpena Date: Fri, 15 Mar 2019 12:32:03 +0100 Subject: [PATCH 17/48] More edits 9 --- vignettes/ScoringForecast.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index 28eb5959..c5a35062 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -135,7 +135,7 @@ plot(rmsss, type = 'h', lwd = 5, col = 'grey', xlab = 'Members', mgp = c(3,1,0), grid(col ='grey') lines(rep(0, Lmember), lwd = 1, col = 'black') -#Plotting boxplot for good members +#Plotting boxplot for selected members with higher rmsss isel = which(rmsss > 0.1) rmsss_m_sel = RMSSS(var_exp = array(apply(nao_exp_n[isel, ], MARGIN = 2, FUN = mean), dim = c(1,11)), var_obs = nao_obs_n, pval = F) @@ -162,7 +162,7 @@ Another option to quantify the goodness of this prediction is using the `BrierSc Moreover, the BS can be descomposed in 3 terms: BS = Reliability - Resolution + Uncertainty. Reliability refers to how close the predicted probabilities are to the true probabilities (i.e. the lower the reliability, the lower the difference between prediction and observation and the better the score). Resolution relates with the difference between the predicted observation and the climatology (i.e. the higher the resolution, the greater the ability of the forecast to predict events different from the climatology). Uncertainty represents the inherent uncertainty of ocurring the event (i.e. the higher the uncertainty, the more difficult to correctly predict the event). -In the case of the NAO index, we can define a NAO event always that the index is greater than 0. Therefore, we can convert the NAO index prediction of all ensemble members in to a NAO prediction probability computing the proportion of members with a positive NAO prediction. For comparison we do the same for the good scored selected-members ensemble of previous section. +In the case of the NAO index, we can discretize it in to a categorical variable defining a NAO event always that the index is greater than 0 and asociating the event with the value 1. Negative NAO index values then correspond to the non-ocurrance of a NAO event and thus they are assigned the value 0. For the forecast, we can convert the NAO index prediction of all ensemble members in to a NAO prediction probability computing the proportion of members with a positive NAO prediction. For comparison we do the same for the good scored selected-members ensemble of previous section. ```r @@ -241,7 +241,9 @@ Reliability = 0.015, Resolution = 0.127, Uncertainty = 0.248. -As expected, the selected-members ensemble presents a better Brier Score (lower value). The uncertainty is obviously the same for the two cases, since the observations to compare with are the same. In agreement with the shown RMSSS results, the reliability is much better (lower) for the second case since the prediction probabilities are much closer to the NAO ocurrence distribution than for the all-members ensemble prediction (see right plot in the figure above). However, the resolution scores are not that different. This is due to the fact that although the selected-members ensemble has a lower RMSSS/reliability, it does not always correctly predict the ocurrence of the NAO event. The all-members ensemble instead, although with a higher RMSSS/reliability tends to predict better the occurrence of positive/negative NAO events (left plot). +To put the total Brier Score values in to context, note that the BS definition is such that in general a forecast that always gives a 50% probability prediction for all cases would have a BS of 0.25. + +Taking this into account, the all-member ensemble prediction with a BS of 0.213 seems only a bit better than flipping a coin in terms of Brier Scoring. The selected-members ensemble instead presents a clear improvement in the total Brier Score (lower value). This is due to the better scoring (lower value) achieved by the reliability term, in agreement with the previous RMSSS results and also shown in the right plot of the figure above; The prediction probabilities are much closer to the NAO ocurrence distribution. However, the resolution scores are not that different between the all-members and the selected-members ensemble. This is due to the fact that although the selected-members ensemble has a lower RMSSS/reliability, it does not always correctly predict the ocurrence of the NAO event. The all-members ensemble instead, even with a higher RMSSS/reliability, tends to predict better the occurrence of positive/negative NAO events (left plot). Finally, the uncertainty is obviously the same for the two cases, since the observations to compare with are the same. ### 6-Appendix: Forecast scores ranges -- GitLab From f8379b7569a6e27d22511304115b3dfc80dc260a Mon Sep 17 00:00:00 2001 From: jpena Date: Fri, 15 Mar 2019 12:41:18 +0100 Subject: [PATCH 18/48] More edits 10 --- vignettes/ScoringForecast.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index c5a35062..069009ea 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -162,7 +162,7 @@ Another option to quantify the goodness of this prediction is using the `BrierSc Moreover, the BS can be descomposed in 3 terms: BS = Reliability - Resolution + Uncertainty. Reliability refers to how close the predicted probabilities are to the true probabilities (i.e. the lower the reliability, the lower the difference between prediction and observation and the better the score). Resolution relates with the difference between the predicted observation and the climatology (i.e. the higher the resolution, the greater the ability of the forecast to predict events different from the climatology). Uncertainty represents the inherent uncertainty of ocurring the event (i.e. the higher the uncertainty, the more difficult to correctly predict the event). -In the case of the NAO index, we can discretize it in to a categorical variable defining a NAO event always that the index is greater than 0 and asociating the event with the value 1. Negative NAO index values then correspond to the non-ocurrance of a NAO event and thus they are assigned the value 0. For the forecast, we can convert the NAO index prediction of all ensemble members in to a NAO prediction probability computing the proportion of members with a positive NAO prediction. For comparison we do the same for the good scored selected-members ensemble of previous section. +In the case of the NAO index, we can discretize it in to a categorical variable defining a NAO event always that the index is greater than 0 and asociating the event with the value 1. Negative NAO index values then correspond to the non-ocurrence of a NAO event and thus they are assigned the value 0. For the forecast, we can convert the NAO index prediction of all ensemble members in to a NAO prediction probability computing the proportion of members with a positive NAO prediction. For comparison we do the same for the good scored selected-members ensemble of previous section. ```r @@ -243,7 +243,7 @@ Uncertainty = 0.248. To put the total Brier Score values in to context, note that the BS definition is such that in general a forecast that always gives a 50% probability prediction for all cases would have a BS of 0.25. -Taking this into account, the all-member ensemble prediction with a BS of 0.213 seems only a bit better than flipping a coin in terms of Brier Scoring. The selected-members ensemble instead presents a clear improvement in the total Brier Score (lower value). This is due to the better scoring (lower value) achieved by the reliability term, in agreement with the previous RMSSS results and also shown in the right plot of the figure above; The prediction probabilities are much closer to the NAO ocurrence distribution. However, the resolution scores are not that different between the all-members and the selected-members ensemble. This is due to the fact that although the selected-members ensemble has a lower RMSSS/reliability, it does not always correctly predict the ocurrence of the NAO event. The all-members ensemble instead, even with a higher RMSSS/reliability, tends to predict better the occurrence of positive/negative NAO events (left plot). Finally, the uncertainty is obviously the same for the two cases, since the observations to compare with are the same. +Taking this into account, the all-members ensemble prediction with a BS of 0.213 seems only a bit better than flipping a coin in terms of Brier Scoring. The selected-members ensemble instead presents a clear improvement in the total Brier Score (lower value). This is due to the better scoring (lower value) achieved by the reliability term in this ensemble, in agreement with the previous RMSSS results and also shown in the right plot of the figure above; The prediction probabilities are much closer to the NAO ocurrence distribution. However, the resolution scores are not that different between the all-members and the selected-members ensemble. This is due to the fact that even with a notable difference in RMSSS and reliability, the two ensembles mostly predict equally the correct occurrence of positive/negative NAO events (left plot). Finally, the uncertainty is obviously the same for the two cases, since the observations to compare with are the same. ### 6-Appendix: Forecast scores ranges -- GitLab From 027a13bb1cde296f1c891d9d962f33b062e4e1e1 Mon Sep 17 00:00:00 2001 From: jpena Date: Tue, 26 Mar 2019 17:18:33 +0100 Subject: [PATCH 19/48] Minor edits 11 --- vignettes/ScoringForecast.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/ScoringForecast.md b/vignettes/ScoringForecast.md index 069009ea..2f3679f7 100644 --- a/vignettes/ScoringForecast.md +++ b/vignettes/ScoringForecast.md @@ -59,7 +59,7 @@ latNA <- c(20, 80) #Selected time periods: startDates <- paste(1981:1991, '1101', sep = '') -Loading sea level pressure maps for the whole North Atlantic and for the specific period +#Loading sea level pressure maps for the whole North Atlantic and for the specific period data <- Load(var = 'psl', exp = list(path_exp_EUROSIP), obs = list(path_obs_eraI), -- GitLab From ffe52eaf4f6989c952050f2d8e8280e0e3caed1b Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 3 Sep 2019 12:17:30 +0200 Subject: [PATCH 20/48] Modify PlotMatrix(). Update branch to master. --- NAMESPACE | 1 + R/PlotMatrix.R | 238 +++++++++++++++++++++++++++++++--------------- man/PlotMatrix.Rd | 89 +++++++++++++++++ 3 files changed, 252 insertions(+), 76 deletions(-) create mode 100644 man/PlotMatrix.Rd diff --git a/NAMESPACE b/NAMESPACE index 3e35710e..4e855789 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -56,6 +56,7 @@ export(PlotBoxWhisker) export(PlotClim) export(PlotEquiMap) export(PlotLayout) +export(PlotMatrix) export(PlotSection) export(PlotStereoMap) export(PlotVsLTime) diff --git a/R/PlotMatrix.R b/R/PlotMatrix.R index 3fb79bae..32a40c99 100644 --- a/R/PlotMatrix.R +++ b/R/PlotMatrix.R @@ -1,115 +1,201 @@ #'Function to convert any numerical table to a grid of coloured squares. #' -#'@description This function converts a numerical data matrix in a coloured grid. Useful in a slide or article, to present tabular results as colors instead of numbers. +#'This function converts a numerical data matrix into a coloured +#'grid. It is useful for a slide or article to present tabular results as +#'colors instead of numbers. #' -#'@param table numerical matrix containing the values to be displayed in a colored image. -#'@param colors A vector with the color sequence to use in the grid. -#'@param brks A vector with the intervals to split the data into. There must be one \code{brks} more than the number of \code{colors}. -#'@param title The title of the grid. Default is NULL (no title). -#'@param title.color Color to use for the title (default is dark blue). -#'@param xtitle Title of the x-axis (default is NULL) -#'@param ytitle Title of the y-axis (default is NULL) -#'@param xlabels Vector of length ncol(\code{table}) with the labels of the x-axis (default is a sequence from 1 to the number of columns). -#'@param xvert If x-axis labels are too long, it is possible to place them vertically by setting \code{xvert} to TRUE (default is FALSE). -#'@param ylabels Vector of length nrow(\code{table}) with the labels of the y-axis (default is a sequence from 1 to the number of rows). -#'@param line Distance of the title of the x-axis from the x-axis (default is 3 lines). Adjust as necessary if your x-axis labels are long. -#'@param figure.width If the form of the grid cells is not perfectly squared, it is possible adjust it by multiplying the grid width for this factor (default is 1). -#'@param legend Set it to FALSE not to draw the grid color legend (default is TRUE). -#'@param legend.width If the width of the color legend is too small or too large, it can be adjusted by increasing or decreasing the legend width (default is 0.15) -#'@param file Set the path and the filename where the .png image of the grid will be saved (default is 'PlotMatrix.png' in the working directory). -#'@param ... Set additional parameters to pass to draw the color legend with function ColorBar() of package s2dverification. -#' -#'@return No data is returned. Only the grid image is saved in a .png file specified by the user. +#'@param var A numerical matrix containing the values to be displayed in a +#' colored image. +#'@param brks A vector of the color bar intervals. The length must be one more +#' than the parameter 'cols'. Use ColorBar() to generate default values. +#'@param cols A vector of valid color identifiers for color bar. The length +#' must be one less than the parameter 'brks'. Use ColorBar() to generate +#' default values. +#'@param toptitle A string of the title of the grid. Set NULL as default. +#'@param title.color A string of valid color identifier to decide the title +#' color. Set "royalblue4" as default. +#'@param xtitle A string of title of the x-axis. Set NULL as default. +#'@param ytitle A string of title of the y-axis. Set NULL as default. +#'@param xlabels A vector of labels of the x-axis. The length must be +#' length of the column of parameter 'var'. Set the sequence from 1 to the +#' length of the column of parameter 'var' as default. +#'@param xvert A logical value to decide whether to place x-axis labels +#' vertically. Set FALSE as default, which keeps the labels horizontally. +#'@param ylabels A vector of labels of the y-axis The length must be +#' length of the row of parameter 'var'. Set the sequence from 1 to the +#' length of the row of parameter 'var' as default. +#'@param line An integer specifying the distance between the title of the +#' x-axis and the x-axis. Set 3 as default. Adjust if the x-axis labels +#' are long. +#'@param figure.width A positive number as a ratio adjusting the width of the +#' grids. Set 1 as default. +#'@param legend A logical value to decide to draw the grid color legend or not. +#' Set TRUE as default. +#'@param legend.width A number between 0 and 0.5 to adjust the legend width. +#' Set 0.15 as default. +#'@param fileout A string of full directory path and file name indicating where +#' to save the plot. If not specified (default), a graphics device will pop up. +#'@param size_units A string indicating the units of the size of the device +#' (file or window) to plot in. Set 'px' as default. See ?Devices and the +#' creator function of the corresponding device. +#'@param res A positive number indicating resolution of the device (file or window) +#' to plot in. See ?Devices and the creator function of the corresponding device. +#'@param ... The additional parameters to be passed to function ColorBar() in +#' s2dverification for color legend creation. +#'@return A figure in popup window by default, or saved to the specified path. #' #'@examples -#'#Example with random data (by default it is saved in the working directory, but the user can specify a different one): -#' -#' PlotMatrix(table = matrix(rnorm(n = 120, mean = 0.3), 10, 12), -#' colors = c('white','#fef0d9','#fdd49e','#fdbb84','#fc8d59','#e34a33','#b30000', '#7f0000'), -#' brks = c(-1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 1), -#' title = "Mean Absolute Error", xtitle = "Forecast time (month)", ytitle = "Start date", -#' xlabels = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec")) -#' +#'#Example with random data +#' PlotMatrix(var = matrix(rnorm(n = 120, mean = 0.3), 10, 12), +#' cols = c('white','#fef0d9','#fdd49e','#fdbb84','#fc8d59', +#' '#e34a33','#b30000', '#7f0000'), +#' brks = c(-1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 1), +#' toptitle = "Mean Absolute Error", +#' xtitle = "Forecast time (month)", ytitle = "Start date", +#' xlabels = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", +#' "Aug", "Sep", "Oct", "Nov", "Dec")) +#'@importFrom grDevices dev.new dev.off dev.cur #'@export - -PlotMatrix <- function(table, colors, brks, title = NULL, title.color = "royalblue4", xtitle = NULL, ytitle = NULL, xlabels = NULL, - xvert = FALSE, ylabels = NULL, line = 3, figure.width = 1, legend = TRUE, legend.width = 0.15, file = NULL, ...){ +PlotMatrix <- function(var, brks = NULL, cols = NULL, + toptitle = NULL, title.color = "royalblue4", + xtitle = NULL, ytitle = NULL, xlabels = NULL, xvert = FALSE, + ylabels = NULL, line = 3, figure.width = 1, legend = TRUE, + legend.width = 0.15, fileout = NULL, + size_units = 'px', res = 100, ...) { # Check variables: - if (!is.matrix(table)) + if (!is.matrix(var)) stop("Input values are not a matrix") - if (!is.numeric(table)) + if (!is.numeric(var)) stop("Input values are not always numbers") - if (is.null(colors) || length(colors) < 2) - stop("You have to specify a color palette of at least 2 colors") - if (is.null(brks) || length(brks) < 2) - stop("You have to specify 2 or more intervals") - n.colors <- length(colors) ## number of colours + + # Build: brks, cols + colorbar <- ColorBar(brks = brks, cols = cols, vertical = FALSE, + plot = FALSE, ...) + brks <- colorbar$brks + cols <- colorbar$cols + + n.cols <- length(cols) ## number of colours n.brks <- length(brks) ## number of intervals - if (n.brks != n.colors + 1) + + if (n.brks != n.cols + 1) stop("There must be one break more than the number of colors") - n.cols <- ncol(table) ## number of columns of the image - n.rows <- nrow(table) ## number of rows of the image - if (n.cols < 2) + ncols <- ncol(var) ## number of columns of the image + nrows <- nrow(var) ## number of rows of the image + if (ncols < 2) stop("Matrix must have at least two columns") - if (n.rows < 2) + if (nrows < 2) stop("Matrix must have at least two rows") - if (!is.null(xlabels) && length(xlabels) != n.cols) - stop("The number of x labels must be equal to the number of columns of the data matrix") - if (!is.null(ylabels) && length(ylabels) != n.rows) - stop("The number of y labels must be equal to the number of rows of the data matrix") + if (!is.null(xlabels) && length(xlabels) != ncols) + stop(paste0("The number of x labels must be equal to the number of ", + "columns of the data matrix")) + if (!is.null(ylabels) && length(ylabels) != nrows) + stop(paste0("The number of y labels must be equal to the number of ", + "rows of the data matrix")) if (!is.numeric(figure.width) || figure.width < 0) stop("figure.width must be a positive number") if (!is.numeric(legend.width) || legend.width < 0 || legend.width > 0.5) stop("legend.width must be a number from 0 to 0.5") - - # Print output file: - if (is.null(file)) file.output <- paste0(getwd(), "/PlotMatrix.png") else file.output <- file - print(paste0("Saving grid image in: ", file.output)) - # Generate image: - png(file = file.output, width = 55 * n.cols * figure.width, height = 50 * n.rows) - plot.new() + # If there is any filenames to store the graphics, process them + # to select the right device + if (!is.null(fileout)) { + deviceInfo <- .SelectDevice(fileout = fileout, + width = 80 * ncols * figure.width, + height = 80 * nrows, + units = size_units, res = res) + saveToFile <- deviceInfo$fun + fileout <- deviceInfo$files + } + + # Open connection to graphical device + if (!is.null(fileout)) { + saveToFile(fileout) + } else if (names(dev.cur()) == 'null device') { + dev.new(units = size_units, res = res, + width = 8 * figure.width, height = 5) + } + + if (!is.null(fileout)) { + # Draw empty plot: - par(mar = c(4, 4, 1, 0), fig = c(0.1, 1 - legend.width, 0.1, 0.9), new = TRUE) - plot(1, 1, type = "n", xaxt = "n", yaxt = "n", ylim = c(0.5, n.rows + 0.5), xlim = c(-0.5, n.cols - 1 + 0.5), ann = F, bty = "n") + par(mar = c(4, 4, 1, 0), fig = c(0.1, 1 - legend.width, 0.1, 0.9)) + plot(1, 1, type = "n", xaxt = "n", yaxt = "n", ylim = c(0.5, nrows + 0.5), + xlim = c(-0.5, ncols - 1 + 0.5), ann = F, bty = "n") # Add axes titles: - label.size <- 1.2 * (max(n.cols, n.rows) / 10) ^ 0.5 - mtext(side = 1, text = xtitle, line = line, cex = label.size, font = 3) - mtext(side = 2, text = ytitle, line = 3, cex = label.size, font = 3) + label.size <- 1.2 * (max(ncols, nrows) / 10) ^ 0.5 + mtext(side = 1, text = xtitle, line = line, cex = label.size, font = 3) + mtext(side = 2, text = ytitle, line = 3, cex = label.size, font = 3) # Add plot title: - if (is.null(title.color)) title.color <- "royalblue4" - mtext(side = 3, text = title, cex = 1.75 * (n.rows / 10) ^ 0.7, col = title.color) + if (is.null(title.color)) title.color <- "royalblue4" + mtext(side = 3, text = toptitle, cex = 1.75 * (nrows / 10) ^ 0.7, + col = title.color) # Add axis labels: - axis.size <- (max(n.cols, n.rows) / 10) ^ 0.3 - if (is.null(xlabels)) xlabels = 1:n.cols - if (is.null(ylabels)) ylabels = 1:n.rows - axis(1, at = seq(0, n.cols-1), las = ifelse(xvert, 2, 1), labels = xlabels, cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (n.rows / 10 - 1)) ## Add x-axis labels - axis(2, at = seq(1, n.rows), las = 1, labels = rev(ylabels), cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - n.cols / 10) ## Add y-axis labels + axis.size <- (max(ncols, nrows) / 10) ^ 0.3 + if (is.null(xlabels)) xlabels = 1:ncols + if (is.null(ylabels)) ylabels = 1:nrows + axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, + cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (nrows / 10 - 1)) ## Add x-axis labels + axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), + cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - ncols / 10) ## Add y-axis labels + + } else { + + # Draw empty plot: + par(mar = c(4, 4, 1, 0), fig = c(0.1, 1 - legend.width, 0.1, 0.9)) + plot(1, 1, type = "n", xaxt = "n", yaxt = "n", ylim = c(0.5, nrows + 0.5), + xlim = c(-0.5, ncols - 1 + 0.5), ann = F, bty = "n") + + # Add axes titles: + label.size <- 1.2 # * (max(ncols, nrows) / 10) ^ 0.5 + mtext(side = 1, text = xtitle, line = line, cex = label.size, font = 3) + mtext(side = 2, text = ytitle, line = 3, cex = label.size, font = 3) + + # Add plot title: + if (is.null(title.color)) title.color <- "royalblue4" + mtext(side = 3, text = toptitle, cex = 1.5, #* (nrows / 10) ^ 0.7, + col = title.color) + + # Add axis labels: + axis.size <- 1 #(max(ncols, nrows) / 10) ^ 0.3 + if (is.null(xlabels)) xlabels = 1:ncols + if (is.null(ylabels)) ylabels = 1:nrows + axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, + cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (nrows / 10 - 1)) ## Add x-axis labels + axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), + cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - ncols / 10) ## Add y-axis labels + + } # Create an array of colors instead of numbers (it starts all gray): - array.colors <- array("gray", c(n.rows, n.cols)) - for (int in n.colors:1) array.colors[table <= brks[int + 1]] <- colors[int] + array.colors <- array("gray", c(nrows, ncols)) + for (int in n.cols:1) array.colors[var <= brks[int + 1]] <- cols[int] # fill with colors the cells in the figure: - for (p in 1:n.rows){ - for (l in 0:(n.cols - 1)){ + for (p in 1:nrows) { + for (l in 0:(ncols - 1)) { polygon(c(0.5 + l - 1, 0.5 + l - 1, 1.5 + l - 1, 1.5 + l - 1), - c(-0.5 + n.rows + 1 - p, 0.5 + n.rows + 1 - p, 0.5 + n.rows + 1 - p, -0.5 + n.rows + 1 - p), col = array.colors[p, 1 + l], border = "black") + c(-0.5 + nrows + 1 - p, 0.5 + nrows + 1 - p, + 0.5 + nrows + 1 - p, -0.5 + nrows + 1 - p), + col = array.colors[p, 1 + l], border = "black") } } # Draw color legend: - if (legend){ - par(fig = c(1 - legend.width - 0.01, 1 - legend.width + legend.width * min(1, 10 / n.cols), 0.3, 0.8), new=TRUE) - legend.label.size <- (max(n.cols, n.rows) / 10) ^ 0.4 - ColorBar(brks, cols = colors, vert = TRUE, label_scale = legend.label.size, subsample = 1, ...) + if (legend) { + par(fig = c(1 - legend.width - 0.01, + 1 - legend.width + legend.width * min(1, 10 / ncols), + 0.3, 0.8), new = TRUE) + #legend.label.size <- (max(ncols, nrows) / 10) ^ 0.4 + ColorBar(brks = brks, cols = cols, vertical = TRUE, ...) } - dev.off() + # If the graphic was saved to file, close the connection with the device + if (!is.null(fileout)) dev.off() + invisible(list(brks = brks, cols = cols)) + } - diff --git a/man/PlotMatrix.Rd b/man/PlotMatrix.Rd new file mode 100644 index 00000000..18d15c11 --- /dev/null +++ b/man/PlotMatrix.Rd @@ -0,0 +1,89 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/PlotMatrix.R +\name{PlotMatrix} +\alias{PlotMatrix} +\title{Function to convert any numerical table to a grid of coloured squares.} +\usage{ +PlotMatrix(var, brks = NULL, cols = NULL, toptitle = NULL, + title.color = "royalblue4", xtitle = NULL, ytitle = NULL, + xlabels = NULL, xvert = FALSE, ylabels = NULL, line = 3, + figure.width = 1, legend = TRUE, legend.width = 0.15, fileout = NULL, + size_units = "px", res = 100, ...) +} +\arguments{ +\item{var}{A numerical matrix containing the values to be displayed in a +colored image.} + +\item{brks}{A vector of the color bar intervals. The length must be one more +than the parameter 'cols'. Use ColorBar() to generate default values.} + +\item{cols}{A vector of valid color identifiers for color bar. The length +must be one less than the parameter 'brks'. Use ColorBar() to generate +default values.} + +\item{toptitle}{A string of the title of the grid. Set NULL as default.} + +\item{title.color}{A string of valid color identifier to decide the title +color. Set "royalblue4" as default.} + +\item{xtitle}{A string of title of the x-axis. Set NULL as default.} + +\item{ytitle}{A string of title of the y-axis. Set NULL as default.} + +\item{xlabels}{A vector of labels of the x-axis. The length must be +length of the column of parameter 'var'. Set the sequence from 1 to the +length of the column of parameter 'var' as default.} + +\item{xvert}{A logical value to decide whether to place x-axis labels +vertically. Set FALSE as default, which keeps the labels horizontally.} + +\item{ylabels}{A vector of labels of the y-axis The length must be +length of the row of parameter 'var'. Set the sequence from 1 to the +length of the row of parameter 'var' as default.} + +\item{line}{An integer specifying the distance between the title of the +x-axis and the x-axis. Set 3 as default. Adjust if the x-axis labels +are long.} + +\item{figure.width}{A positive number as a ratio adjusting the width of the +grids. Set 1 as default.} + +\item{legend}{A logical value to decide to draw the grid color legend or not. +Set TRUE as default.} + +\item{legend.width}{A number between 0 and 0.5 to adjust the legend width. +Set 0.15 as default.} + +\item{fileout}{A string of full directory path and file name indicating where +to save the plot. If not specified (default), a graphics device will pop up.} + +\item{size_units}{A string indicating the units of the size of the device +(file or window) to plot in. Set 'px' as default. See ?Devices and the +creator function of the corresponding device.} + +\item{res}{A positive number indicating resolution of the device (file or window) +to plot in. See ?Devices and the creator function of the corresponding device.} + +\item{...}{The additional parameters to be passed to function ColorBar() in +s2dverification for color legend creation.} +} +\value{ +A figure in popup window by default, or saved to the specified path. +} +\description{ +This function converts a numerical data matrix into a coloured +grid. It is useful for a slide or article to present tabular results as +colors instead of numbers. +} +\examples{ +#Example with random data +PlotMatrix(var = matrix(rnorm(n = 120, mean = 0.3), 10, 12), + cols = c('white','#fef0d9','#fdd49e','#fdbb84','#fc8d59', + '#e34a33','#b30000', '#7f0000'), + brks = c(-1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 1), + toptitle = "Mean Absolute Error", + xtitle = "Forecast time (month)", ytitle = "Start date", + xlabels = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", + "Aug", "Sep", "Oct", "Nov", "Dec")) +} + -- GitLab From 58a7ee8b7de334b6aa5d3a04a5804ae7800e7b2e Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 3 Sep 2019 15:15:54 +0200 Subject: [PATCH 21/48] Correct bad documentation in Trend() --- R/Trend.R | 46 +++++++++++++++++++++++++--------------------- man/Trend.Rd | 46 +++++++++++++++++++++++++--------------------- 2 files changed, 50 insertions(+), 42 deletions(-) diff --git a/R/Trend.R b/R/Trend.R index 15ec7ebe..56819bb7 100644 --- a/R/Trend.R +++ b/R/Trend.R @@ -1,37 +1,41 @@ #'Computes the Trend of the Ensemble Mean #' #'Computes the trend along the forecast time of the ensemble mean by least -#'square fitting, and the associated error interval.\cr -#'Trend() also provides the time series of the detrended ensemble mean -#'forecasts.\cr -#'The confidence interval relies on a student-T distribution.\cr\cr -#'.Trend provides the same functionality but taking a matrix ensemble members +#'square fitting, and the associated error interval. The trend would be +#'provided in number of units per month or year. This function also returns the +#'time series of the detrended ensemble mean forecasts. The confidence interval +#'relies on a student-T distribution.\cr +#'.Trend() provides the same functionality but taking a matrix ensemble members #'as input (exp). #' -#'@param var Array of any number of dimensions up to 10. -#'@param exp M by N matrix of M forecasts from N ensemble members. -#'@param interval Number of months/years between 2 points along posTR -#' dimension.\cr -#' Default = 1.\cr -#' The trend would be provided in number of units per month or year. -#'@param siglev Confidence level for the computation of confidence interval. -#' 0.95 by default. -#'@param conf Whether to compute the confidence levels or not. TRUE by default. -#'@param posTR Position along which to compute the trend. +#'@param var An array of any number of dimensions up to 10. +#'@param exp An M by N matrix representing M forecasts from N ensemble members. +#'@param interval A number of months/years between 2 points along posTR +#' dimension. Set 1 as default. +#'@param siglev A numeric value indicating the confidence level for the +#' computation of confidence interval. Set 0.95 as default. +#'@param conf A logical value indicating whether to compute the confidence +#' levels or not. Set TRUE as default. +#'@param posTR An integer indicating the position along which to compute the +#' trend. #' #'@return #'\item{$trend}{ -#' The intercept and slope coefficients for the least squares fitting of the -#' trend. +#' An array with same dimensions as parameter 'var' except along the posTR +#' dimension, which is replaced by a length 4 (or length 2 if conf = FALSE) +#' dimension, corresponding to the lower limit of the confidence interval +#' (only present if conf = TRUE), the slope, the upper limit of the confidence +#' interval (only present if conf = TRUE), and the intercept. #'} -#'\item{$conf.int}{ -#' Corresponding to the limits of the \code{siglev}\% confidence interval -#' (only present if \code{conf = TRUE}) for the slope coefficient. -#'} #'\item{$detrended}{ #' Same dimensions as var with linearly detrended var along the posTR #' dimension. #'} +#'Only in .Trend: +#'\item{$conf.int}{ +#' Corresponding to the limits of the \code{siglev}\% confidence interval +#' (only present if \code{conf = TRUE}) for the slope coefficient. +#'} #' #'@keywords datagen #'@author History:\cr diff --git a/man/Trend.Rd b/man/Trend.Rd index da1fe956..e7035e3d 100644 --- a/man/Trend.Rd +++ b/man/Trend.Rd @@ -10,43 +10,47 @@ Trend(var, posTR = 2, interval = 1, siglev = 0.95, conf = TRUE) .Trend(exp, interval = 1, siglev = 0.95, conf = TRUE) } \arguments{ -\item{var}{Array of any number of dimensions up to 10.} +\item{var}{An array of any number of dimensions up to 10.} -\item{posTR}{Position along which to compute the trend.} +\item{posTR}{An integer indicating the position along which to compute the +trend.} -\item{interval}{Number of months/years between 2 points along posTR -dimension.\cr -Default = 1.\cr -The trend would be provided in number of units per month or year.} +\item{interval}{A number of months/years between 2 points along posTR +dimension. Set 1 as default.} -\item{siglev}{Confidence level for the computation of confidence interval. -0.95 by default.} +\item{siglev}{A numeric value indicating the confidence level for the +computation of confidence interval. Set 0.95 as default.} -\item{conf}{Whether to compute the confidence levels or not. TRUE by default.} +\item{conf}{A logical value indicating whether to compute the confidence +levels or not. Set TRUE as default.} -\item{exp}{M by N matrix of M forecasts from N ensemble members.} +\item{exp}{An M by N matrix representing M forecasts from N ensemble members.} } \value{ \item{$trend}{ - The intercept and slope coefficients for the least squares fitting of the - trend. + An array with same dimensions as parameter 'var' except along the posTR + dimension, which is replaced by a length 4 (or length 2 if conf = FALSE) + dimension, corresponding to the lower limit of the confidence interval + (only present if conf = TRUE), the slope, the upper limit of the confidence + interval (only present if conf = TRUE), and the intercept. } -\item{$conf.int}{ - Corresponding to the limits of the \code{siglev}\% confidence interval - (only present if \code{conf = TRUE}) for the slope coefficient. -} \item{$detrended}{ Same dimensions as var with linearly detrended var along the posTR dimension. } +Only in .Trend: +\item{$conf.int}{ + Corresponding to the limits of the \code{siglev}\% confidence interval + (only present if \code{conf = TRUE}) for the slope coefficient. +} } \description{ Computes the trend along the forecast time of the ensemble mean by least -square fitting, and the associated error interval.\cr -Trend() also provides the time series of the detrended ensemble mean -forecasts.\cr -The confidence interval relies on a student-T distribution.\cr\cr -.Trend provides the same functionality but taking a matrix ensemble members +square fitting, and the associated error interval. The trend would be +provided in number of units per month or year. This function also returns the +time series of the detrended ensemble mean forecasts. The confidence interval +relies on a student-T distribution.\cr +.Trend() provides the same functionality but taking a matrix ensemble members as input (exp). } \examples{ -- GitLab From 5d2d550c85db8965e790971e9284156b347a1fb8 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 3 Sep 2019 15:43:26 +0200 Subject: [PATCH 22/48] Revert "Merge branch 'develop-trend-doc' into 'master'" This reverts merge request !183 --- NAMESPACE | 1 - R/PlotMatrix.R | 201 ---------------------------------------------- R/Trend.R | 46 +++++------ man/PlotMatrix.Rd | 89 -------------------- man/Trend.Rd | 46 +++++------ 5 files changed, 42 insertions(+), 341 deletions(-) delete mode 100644 R/PlotMatrix.R delete mode 100644 man/PlotMatrix.Rd diff --git a/NAMESPACE b/NAMESPACE index 4e855789..3e35710e 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -56,7 +56,6 @@ export(PlotBoxWhisker) export(PlotClim) export(PlotEquiMap) export(PlotLayout) -export(PlotMatrix) export(PlotSection) export(PlotStereoMap) export(PlotVsLTime) diff --git a/R/PlotMatrix.R b/R/PlotMatrix.R deleted file mode 100644 index 32a40c99..00000000 --- a/R/PlotMatrix.R +++ /dev/null @@ -1,201 +0,0 @@ -#'Function to convert any numerical table to a grid of coloured squares. -#' -#'This function converts a numerical data matrix into a coloured -#'grid. It is useful for a slide or article to present tabular results as -#'colors instead of numbers. -#' -#'@param var A numerical matrix containing the values to be displayed in a -#' colored image. -#'@param brks A vector of the color bar intervals. The length must be one more -#' than the parameter 'cols'. Use ColorBar() to generate default values. -#'@param cols A vector of valid color identifiers for color bar. The length -#' must be one less than the parameter 'brks'. Use ColorBar() to generate -#' default values. -#'@param toptitle A string of the title of the grid. Set NULL as default. -#'@param title.color A string of valid color identifier to decide the title -#' color. Set "royalblue4" as default. -#'@param xtitle A string of title of the x-axis. Set NULL as default. -#'@param ytitle A string of title of the y-axis. Set NULL as default. -#'@param xlabels A vector of labels of the x-axis. The length must be -#' length of the column of parameter 'var'. Set the sequence from 1 to the -#' length of the column of parameter 'var' as default. -#'@param xvert A logical value to decide whether to place x-axis labels -#' vertically. Set FALSE as default, which keeps the labels horizontally. -#'@param ylabels A vector of labels of the y-axis The length must be -#' length of the row of parameter 'var'. Set the sequence from 1 to the -#' length of the row of parameter 'var' as default. -#'@param line An integer specifying the distance between the title of the -#' x-axis and the x-axis. Set 3 as default. Adjust if the x-axis labels -#' are long. -#'@param figure.width A positive number as a ratio adjusting the width of the -#' grids. Set 1 as default. -#'@param legend A logical value to decide to draw the grid color legend or not. -#' Set TRUE as default. -#'@param legend.width A number between 0 and 0.5 to adjust the legend width. -#' Set 0.15 as default. -#'@param fileout A string of full directory path and file name indicating where -#' to save the plot. If not specified (default), a graphics device will pop up. -#'@param size_units A string indicating the units of the size of the device -#' (file or window) to plot in. Set 'px' as default. See ?Devices and the -#' creator function of the corresponding device. -#'@param res A positive number indicating resolution of the device (file or window) -#' to plot in. See ?Devices and the creator function of the corresponding device. -#'@param ... The additional parameters to be passed to function ColorBar() in -#' s2dverification for color legend creation. -#'@return A figure in popup window by default, or saved to the specified path. -#' -#'@examples -#'#Example with random data -#' PlotMatrix(var = matrix(rnorm(n = 120, mean = 0.3), 10, 12), -#' cols = c('white','#fef0d9','#fdd49e','#fdbb84','#fc8d59', -#' '#e34a33','#b30000', '#7f0000'), -#' brks = c(-1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 1), -#' toptitle = "Mean Absolute Error", -#' xtitle = "Forecast time (month)", ytitle = "Start date", -#' xlabels = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", -#' "Aug", "Sep", "Oct", "Nov", "Dec")) -#'@importFrom grDevices dev.new dev.off dev.cur -#'@export -PlotMatrix <- function(var, brks = NULL, cols = NULL, - toptitle = NULL, title.color = "royalblue4", - xtitle = NULL, ytitle = NULL, xlabels = NULL, xvert = FALSE, - ylabels = NULL, line = 3, figure.width = 1, legend = TRUE, - legend.width = 0.15, fileout = NULL, - size_units = 'px', res = 100, ...) { - - # Check variables: - if (!is.matrix(var)) - stop("Input values are not a matrix") - if (!is.numeric(var)) - stop("Input values are not always numbers") - - # Build: brks, cols - colorbar <- ColorBar(brks = brks, cols = cols, vertical = FALSE, - plot = FALSE, ...) - brks <- colorbar$brks - cols <- colorbar$cols - - n.cols <- length(cols) ## number of colours - n.brks <- length(brks) ## number of intervals - - if (n.brks != n.cols + 1) - stop("There must be one break more than the number of colors") - ncols <- ncol(var) ## number of columns of the image - nrows <- nrow(var) ## number of rows of the image - if (ncols < 2) - stop("Matrix must have at least two columns") - if (nrows < 2) - stop("Matrix must have at least two rows") - if (!is.null(xlabels) && length(xlabels) != ncols) - stop(paste0("The number of x labels must be equal to the number of ", - "columns of the data matrix")) - if (!is.null(ylabels) && length(ylabels) != nrows) - stop(paste0("The number of y labels must be equal to the number of ", - "rows of the data matrix")) - if (!is.numeric(figure.width) || figure.width < 0) - stop("figure.width must be a positive number") - if (!is.numeric(legend.width) || legend.width < 0 || legend.width > 0.5) - stop("legend.width must be a number from 0 to 0.5") - - - # If there is any filenames to store the graphics, process them - # to select the right device - if (!is.null(fileout)) { - deviceInfo <- .SelectDevice(fileout = fileout, - width = 80 * ncols * figure.width, - height = 80 * nrows, - units = size_units, res = res) - saveToFile <- deviceInfo$fun - fileout <- deviceInfo$files - } - - # Open connection to graphical device - if (!is.null(fileout)) { - saveToFile(fileout) - } else if (names(dev.cur()) == 'null device') { - dev.new(units = size_units, res = res, - width = 8 * figure.width, height = 5) - } - - if (!is.null(fileout)) { - - # Draw empty plot: - par(mar = c(4, 4, 1, 0), fig = c(0.1, 1 - legend.width, 0.1, 0.9)) - plot(1, 1, type = "n", xaxt = "n", yaxt = "n", ylim = c(0.5, nrows + 0.5), - xlim = c(-0.5, ncols - 1 + 0.5), ann = F, bty = "n") - - # Add axes titles: - label.size <- 1.2 * (max(ncols, nrows) / 10) ^ 0.5 - mtext(side = 1, text = xtitle, line = line, cex = label.size, font = 3) - mtext(side = 2, text = ytitle, line = 3, cex = label.size, font = 3) - - # Add plot title: - if (is.null(title.color)) title.color <- "royalblue4" - mtext(side = 3, text = toptitle, cex = 1.75 * (nrows / 10) ^ 0.7, - col = title.color) - - # Add axis labels: - axis.size <- (max(ncols, nrows) / 10) ^ 0.3 - if (is.null(xlabels)) xlabels = 1:ncols - if (is.null(ylabels)) ylabels = 1:nrows - axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, - cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (nrows / 10 - 1)) ## Add x-axis labels - axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), - cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - ncols / 10) ## Add y-axis labels - - } else { - - # Draw empty plot: - par(mar = c(4, 4, 1, 0), fig = c(0.1, 1 - legend.width, 0.1, 0.9)) - plot(1, 1, type = "n", xaxt = "n", yaxt = "n", ylim = c(0.5, nrows + 0.5), - xlim = c(-0.5, ncols - 1 + 0.5), ann = F, bty = "n") - - # Add axes titles: - label.size <- 1.2 # * (max(ncols, nrows) / 10) ^ 0.5 - mtext(side = 1, text = xtitle, line = line, cex = label.size, font = 3) - mtext(side = 2, text = ytitle, line = 3, cex = label.size, font = 3) - - # Add plot title: - if (is.null(title.color)) title.color <- "royalblue4" - mtext(side = 3, text = toptitle, cex = 1.5, #* (nrows / 10) ^ 0.7, - col = title.color) - - # Add axis labels: - axis.size <- 1 #(max(ncols, nrows) / 10) ^ 0.3 - if (is.null(xlabels)) xlabels = 1:ncols - if (is.null(ylabels)) ylabels = 1:nrows - axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, - cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (nrows / 10 - 1)) ## Add x-axis labels - axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), - cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - ncols / 10) ## Add y-axis labels - - } - - # Create an array of colors instead of numbers (it starts all gray): - array.colors <- array("gray", c(nrows, ncols)) - for (int in n.cols:1) array.colors[var <= brks[int + 1]] <- cols[int] - - # fill with colors the cells in the figure: - for (p in 1:nrows) { - for (l in 0:(ncols - 1)) { - polygon(c(0.5 + l - 1, 0.5 + l - 1, 1.5 + l - 1, 1.5 + l - 1), - c(-0.5 + nrows + 1 - p, 0.5 + nrows + 1 - p, - 0.5 + nrows + 1 - p, -0.5 + nrows + 1 - p), - col = array.colors[p, 1 + l], border = "black") - } - } - - # Draw color legend: - if (legend) { - par(fig = c(1 - legend.width - 0.01, - 1 - legend.width + legend.width * min(1, 10 / ncols), - 0.3, 0.8), new = TRUE) - #legend.label.size <- (max(ncols, nrows) / 10) ^ 0.4 - ColorBar(brks = brks, cols = cols, vertical = TRUE, ...) - } - - # If the graphic was saved to file, close the connection with the device - if (!is.null(fileout)) dev.off() - invisible(list(brks = brks, cols = cols)) - -} diff --git a/R/Trend.R b/R/Trend.R index 56819bb7..15ec7ebe 100644 --- a/R/Trend.R +++ b/R/Trend.R @@ -1,41 +1,37 @@ #'Computes the Trend of the Ensemble Mean #' #'Computes the trend along the forecast time of the ensemble mean by least -#'square fitting, and the associated error interval. The trend would be -#'provided in number of units per month or year. This function also returns the -#'time series of the detrended ensemble mean forecasts. The confidence interval -#'relies on a student-T distribution.\cr -#'.Trend() provides the same functionality but taking a matrix ensemble members +#'square fitting, and the associated error interval.\cr +#'Trend() also provides the time series of the detrended ensemble mean +#'forecasts.\cr +#'The confidence interval relies on a student-T distribution.\cr\cr +#'.Trend provides the same functionality but taking a matrix ensemble members #'as input (exp). #' -#'@param var An array of any number of dimensions up to 10. -#'@param exp An M by N matrix representing M forecasts from N ensemble members. -#'@param interval A number of months/years between 2 points along posTR -#' dimension. Set 1 as default. -#'@param siglev A numeric value indicating the confidence level for the -#' computation of confidence interval. Set 0.95 as default. -#'@param conf A logical value indicating whether to compute the confidence -#' levels or not. Set TRUE as default. -#'@param posTR An integer indicating the position along which to compute the -#' trend. +#'@param var Array of any number of dimensions up to 10. +#'@param exp M by N matrix of M forecasts from N ensemble members. +#'@param interval Number of months/years between 2 points along posTR +#' dimension.\cr +#' Default = 1.\cr +#' The trend would be provided in number of units per month or year. +#'@param siglev Confidence level for the computation of confidence interval. +#' 0.95 by default. +#'@param conf Whether to compute the confidence levels or not. TRUE by default. +#'@param posTR Position along which to compute the trend. #' #'@return #'\item{$trend}{ -#' An array with same dimensions as parameter 'var' except along the posTR -#' dimension, which is replaced by a length 4 (or length 2 if conf = FALSE) -#' dimension, corresponding to the lower limit of the confidence interval -#' (only present if conf = TRUE), the slope, the upper limit of the confidence -#' interval (only present if conf = TRUE), and the intercept. +#' The intercept and slope coefficients for the least squares fitting of the +#' trend. #'} -#'\item{$detrended}{ -#' Same dimensions as var with linearly detrended var along the posTR -#' dimension. -#'} -#'Only in .Trend: #'\item{$conf.int}{ #' Corresponding to the limits of the \code{siglev}\% confidence interval #' (only present if \code{conf = TRUE}) for the slope coefficient. #'} +#'\item{$detrended}{ +#' Same dimensions as var with linearly detrended var along the posTR +#' dimension. +#'} #' #'@keywords datagen #'@author History:\cr diff --git a/man/PlotMatrix.Rd b/man/PlotMatrix.Rd deleted file mode 100644 index 18d15c11..00000000 --- a/man/PlotMatrix.Rd +++ /dev/null @@ -1,89 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/PlotMatrix.R -\name{PlotMatrix} -\alias{PlotMatrix} -\title{Function to convert any numerical table to a grid of coloured squares.} -\usage{ -PlotMatrix(var, brks = NULL, cols = NULL, toptitle = NULL, - title.color = "royalblue4", xtitle = NULL, ytitle = NULL, - xlabels = NULL, xvert = FALSE, ylabels = NULL, line = 3, - figure.width = 1, legend = TRUE, legend.width = 0.15, fileout = NULL, - size_units = "px", res = 100, ...) -} -\arguments{ -\item{var}{A numerical matrix containing the values to be displayed in a -colored image.} - -\item{brks}{A vector of the color bar intervals. The length must be one more -than the parameter 'cols'. Use ColorBar() to generate default values.} - -\item{cols}{A vector of valid color identifiers for color bar. The length -must be one less than the parameter 'brks'. Use ColorBar() to generate -default values.} - -\item{toptitle}{A string of the title of the grid. Set NULL as default.} - -\item{title.color}{A string of valid color identifier to decide the title -color. Set "royalblue4" as default.} - -\item{xtitle}{A string of title of the x-axis. Set NULL as default.} - -\item{ytitle}{A string of title of the y-axis. Set NULL as default.} - -\item{xlabels}{A vector of labels of the x-axis. The length must be -length of the column of parameter 'var'. Set the sequence from 1 to the -length of the column of parameter 'var' as default.} - -\item{xvert}{A logical value to decide whether to place x-axis labels -vertically. Set FALSE as default, which keeps the labels horizontally.} - -\item{ylabels}{A vector of labels of the y-axis The length must be -length of the row of parameter 'var'. Set the sequence from 1 to the -length of the row of parameter 'var' as default.} - -\item{line}{An integer specifying the distance between the title of the -x-axis and the x-axis. Set 3 as default. Adjust if the x-axis labels -are long.} - -\item{figure.width}{A positive number as a ratio adjusting the width of the -grids. Set 1 as default.} - -\item{legend}{A logical value to decide to draw the grid color legend or not. -Set TRUE as default.} - -\item{legend.width}{A number between 0 and 0.5 to adjust the legend width. -Set 0.15 as default.} - -\item{fileout}{A string of full directory path and file name indicating where -to save the plot. If not specified (default), a graphics device will pop up.} - -\item{size_units}{A string indicating the units of the size of the device -(file or window) to plot in. Set 'px' as default. See ?Devices and the -creator function of the corresponding device.} - -\item{res}{A positive number indicating resolution of the device (file or window) -to plot in. See ?Devices and the creator function of the corresponding device.} - -\item{...}{The additional parameters to be passed to function ColorBar() in -s2dverification for color legend creation.} -} -\value{ -A figure in popup window by default, or saved to the specified path. -} -\description{ -This function converts a numerical data matrix into a coloured -grid. It is useful for a slide or article to present tabular results as -colors instead of numbers. -} -\examples{ -#Example with random data -PlotMatrix(var = matrix(rnorm(n = 120, mean = 0.3), 10, 12), - cols = c('white','#fef0d9','#fdd49e','#fdbb84','#fc8d59', - '#e34a33','#b30000', '#7f0000'), - brks = c(-1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 1), - toptitle = "Mean Absolute Error", - xtitle = "Forecast time (month)", ytitle = "Start date", - xlabels = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", - "Aug", "Sep", "Oct", "Nov", "Dec")) -} - diff --git a/man/Trend.Rd b/man/Trend.Rd index e7035e3d..da1fe956 100644 --- a/man/Trend.Rd +++ b/man/Trend.Rd @@ -10,47 +10,43 @@ Trend(var, posTR = 2, interval = 1, siglev = 0.95, conf = TRUE) .Trend(exp, interval = 1, siglev = 0.95, conf = TRUE) } \arguments{ -\item{var}{An array of any number of dimensions up to 10.} +\item{var}{Array of any number of dimensions up to 10.} -\item{posTR}{An integer indicating the position along which to compute the -trend.} +\item{posTR}{Position along which to compute the trend.} -\item{interval}{A number of months/years between 2 points along posTR -dimension. Set 1 as default.} +\item{interval}{Number of months/years between 2 points along posTR +dimension.\cr +Default = 1.\cr +The trend would be provided in number of units per month or year.} -\item{siglev}{A numeric value indicating the confidence level for the -computation of confidence interval. Set 0.95 as default.} +\item{siglev}{Confidence level for the computation of confidence interval. +0.95 by default.} -\item{conf}{A logical value indicating whether to compute the confidence -levels or not. Set TRUE as default.} +\item{conf}{Whether to compute the confidence levels or not. TRUE by default.} -\item{exp}{An M by N matrix representing M forecasts from N ensemble members.} +\item{exp}{M by N matrix of M forecasts from N ensemble members.} } \value{ \item{$trend}{ - An array with same dimensions as parameter 'var' except along the posTR - dimension, which is replaced by a length 4 (or length 2 if conf = FALSE) - dimension, corresponding to the lower limit of the confidence interval - (only present if conf = TRUE), the slope, the upper limit of the confidence - interval (only present if conf = TRUE), and the intercept. + The intercept and slope coefficients for the least squares fitting of the + trend. } -\item{$detrended}{ - Same dimensions as var with linearly detrended var along the posTR - dimension. -} -Only in .Trend: \item{$conf.int}{ Corresponding to the limits of the \code{siglev}\% confidence interval (only present if \code{conf = TRUE}) for the slope coefficient. +} +\item{$detrended}{ + Same dimensions as var with linearly detrended var along the posTR + dimension. } } \description{ Computes the trend along the forecast time of the ensemble mean by least -square fitting, and the associated error interval. The trend would be -provided in number of units per month or year. This function also returns the -time series of the detrended ensemble mean forecasts. The confidence interval -relies on a student-T distribution.\cr -.Trend() provides the same functionality but taking a matrix ensemble members +square fitting, and the associated error interval.\cr +Trend() also provides the time series of the detrended ensemble mean +forecasts.\cr +The confidence interval relies on a student-T distribution.\cr\cr +.Trend provides the same functionality but taking a matrix ensemble members as input (exp). } \examples{ -- GitLab From d658814d49415c1d0ccc4262bb4c816b52cb6f62 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 3 Sep 2019 16:22:53 +0200 Subject: [PATCH 23/48] Correct Trend() documentation --- R/Trend.R | 20 ++++++++++++++++++++ man/Trend.Rd | 26 ++++++++++++++++++++++++++ 2 files changed, 46 insertions(+) diff --git a/R/Trend.R b/R/Trend.R index 15ec7ebe..e66e135a 100644 --- a/R/Trend.R +++ b/R/Trend.R @@ -18,11 +18,26 @@ #' 0.95 by default. #'@param conf Whether to compute the confidence levels or not. TRUE by default. #'@param posTR Position along which to compute the trend. +#'@param var An array of any number of dimensions up to 10. +#'@param exp An M by N matrix representing M forecasts from N ensemble members. +#'@param interval A number of months/years between 2 points along posTR +#' dimension. Set 1 as default. +#'@param siglev A numeric value indicating the confidence level for the +#' computation of confidence interval. Set 0.95 as default. +#'@param conf A logical value indicating whether to compute the confidence +#' levels or not. Set TRUE as default. +#'@param posTR An integer indicating the position along which to compute the +#' trend. #' #'@return #'\item{$trend}{ #' The intercept and slope coefficients for the least squares fitting of the #' trend. +#' An array with same dimensions as parameter 'var' except along the posTR +#' dimension, which is replaced by a length 4 (or length 2 if conf = FALSE) +#' dimension, corresponding to the lower limit of the confidence interval +#' (only present if conf = TRUE), the slope, the upper limit of the confidence +#' interval (only present if conf = TRUE), and the intercept. #'} #'\item{$conf.int}{ #' Corresponding to the limits of the \code{siglev}\% confidence interval @@ -32,6 +47,11 @@ #' Same dimensions as var with linearly detrended var along the posTR #' dimension. #'} +#'Only in .Trend: +#'\item{$conf.int}{ +#' Corresponding to the limits of the \code{siglev}\% confidence interval +#' (only present if \code{conf = TRUE}) for the slope coefficient. +#'} #' #'@keywords datagen #'@author History:\cr diff --git a/man/Trend.Rd b/man/Trend.Rd index da1fe956..b8b1e5a2 100644 --- a/man/Trend.Rd +++ b/man/Trend.Rd @@ -25,11 +25,32 @@ The trend would be provided in number of units per month or year.} \item{conf}{Whether to compute the confidence levels or not. TRUE by default.} \item{exp}{M by N matrix of M forecasts from N ensemble members.} + +\item{var}{An array of any number of dimensions up to 10.} + +\item{exp}{An M by N matrix representing M forecasts from N ensemble members.} + +\item{interval}{A number of months/years between 2 points along posTR +dimension. Set 1 as default.} + +\item{siglev}{A numeric value indicating the confidence level for the +computation of confidence interval. Set 0.95 as default.} + +\item{conf}{A logical value indicating whether to compute the confidence +levels or not. Set TRUE as default.} + +\item{posTR}{An integer indicating the position along which to compute the +trend.} } \value{ \item{$trend}{ The intercept and slope coefficients for the least squares fitting of the trend. + An array with same dimensions as parameter 'var' except along the posTR + dimension, which is replaced by a length 4 (or length 2 if conf = FALSE) + dimension, corresponding to the lower limit of the confidence interval + (only present if conf = TRUE), the slope, the upper limit of the confidence + interval (only present if conf = TRUE), and the intercept. } \item{$conf.int}{ Corresponding to the limits of the \code{siglev}\% confidence interval @@ -39,6 +60,11 @@ The trend would be provided in number of units per month or year.} Same dimensions as var with linearly detrended var along the posTR dimension. } +Only in .Trend: +\item{$conf.int}{ + Corresponding to the limits of the \code{siglev}\% confidence interval + (only present if \code{conf = TRUE}) for the slope coefficient. +} } \description{ Computes the trend along the forecast time of the ensemble mean by least -- GitLab From 3a55dbec94a231c02a4131fb7173b0302be63957 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 3 Sep 2019 18:33:04 +0200 Subject: [PATCH 24/48] Correct Trend() documention --- R/Trend.R | 4 ---- man/Trend.Rd | 4 ---- 2 files changed, 8 deletions(-) diff --git a/R/Trend.R b/R/Trend.R index e66e135a..98a71bf3 100644 --- a/R/Trend.R +++ b/R/Trend.R @@ -39,10 +39,6 @@ #' (only present if conf = TRUE), the slope, the upper limit of the confidence #' interval (only present if conf = TRUE), and the intercept. #'} -#'\item{$conf.int}{ -#' Corresponding to the limits of the \code{siglev}\% confidence interval -#' (only present if \code{conf = TRUE}) for the slope coefficient. -#'} #'\item{$detrended}{ #' Same dimensions as var with linearly detrended var along the posTR #' dimension. diff --git a/man/Trend.Rd b/man/Trend.Rd index b8b1e5a2..4326a1e3 100644 --- a/man/Trend.Rd +++ b/man/Trend.Rd @@ -52,10 +52,6 @@ trend.} (only present if conf = TRUE), the slope, the upper limit of the confidence interval (only present if conf = TRUE), and the intercept. } -\item{$conf.int}{ - Corresponding to the limits of the \code{siglev}\% confidence interval - (only present if \code{conf = TRUE}) for the slope coefficient. -} \item{$detrended}{ Same dimensions as var with linearly detrended var along the posTR dimension. -- GitLab From e76c03c56b938f6b0b9f2147c099ccba2f744be0 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 12 Sep 2019 17:38:57 +0200 Subject: [PATCH 25/48] Correct Trend() parameter documentation. --- R/Trend.R | 16 +++------------- man/Trend.Rd | 22 +++------------------- 2 files changed, 6 insertions(+), 32 deletions(-) diff --git a/R/Trend.R b/R/Trend.R index 98a71bf3..d8bfc601 100644 --- a/R/Trend.R +++ b/R/Trend.R @@ -8,26 +8,16 @@ #'.Trend provides the same functionality but taking a matrix ensemble members #'as input (exp). #' -#'@param var Array of any number of dimensions up to 10. -#'@param exp M by N matrix of M forecasts from N ensemble members. -#'@param interval Number of months/years between 2 points along posTR -#' dimension.\cr -#' Default = 1.\cr -#' The trend would be provided in number of units per month or year. -#'@param siglev Confidence level for the computation of confidence interval. -#' 0.95 by default. -#'@param conf Whether to compute the confidence levels or not. TRUE by default. -#'@param posTR Position along which to compute the trend. #'@param var An array of any number of dimensions up to 10. -#'@param exp An M by N matrix representing M forecasts from N ensemble members. +#'@param posTR An integer indicating the position along which to compute the +#' trend. #'@param interval A number of months/years between 2 points along posTR #' dimension. Set 1 as default. #'@param siglev A numeric value indicating the confidence level for the #' computation of confidence interval. Set 0.95 as default. #'@param conf A logical value indicating whether to compute the confidence #' levels or not. Set TRUE as default. -#'@param posTR An integer indicating the position along which to compute the -#' trend. +#'@param exp An M by N matrix representing M forecasts from N ensemble members. #' #'@return #'\item{$trend}{ diff --git a/man/Trend.Rd b/man/Trend.Rd index 4326a1e3..71d2e1be 100644 --- a/man/Trend.Rd +++ b/man/Trend.Rd @@ -10,25 +10,10 @@ Trend(var, posTR = 2, interval = 1, siglev = 0.95, conf = TRUE) .Trend(exp, interval = 1, siglev = 0.95, conf = TRUE) } \arguments{ -\item{var}{Array of any number of dimensions up to 10.} - -\item{posTR}{Position along which to compute the trend.} - -\item{interval}{Number of months/years between 2 points along posTR -dimension.\cr -Default = 1.\cr -The trend would be provided in number of units per month or year.} - -\item{siglev}{Confidence level for the computation of confidence interval. -0.95 by default.} - -\item{conf}{Whether to compute the confidence levels or not. TRUE by default.} - -\item{exp}{M by N matrix of M forecasts from N ensemble members.} - \item{var}{An array of any number of dimensions up to 10.} -\item{exp}{An M by N matrix representing M forecasts from N ensemble members.} +\item{posTR}{An integer indicating the position along which to compute the +trend.} \item{interval}{A number of months/years between 2 points along posTR dimension. Set 1 as default.} @@ -39,8 +24,7 @@ computation of confidence interval. Set 0.95 as default.} \item{conf}{A logical value indicating whether to compute the confidence levels or not. Set TRUE as default.} -\item{posTR}{An integer indicating the position along which to compute the -trend.} +\item{exp}{An M by N matrix representing M forecasts from N ensemble members.} } \value{ \item{$trend}{ -- GitLab From 0857be04c1630373ed502a7cb8ff687d465a9232 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 26 Sep 2019 16:05:06 +0200 Subject: [PATCH 26/48] Modification for review --- R/PlotMatrix.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/PlotMatrix.R b/R/PlotMatrix.R index 32a40c99..748a06ae 100644 --- a/R/PlotMatrix.R +++ b/R/PlotMatrix.R @@ -101,7 +101,7 @@ PlotMatrix <- function(var, brks = NULL, cols = NULL, # If there is any filenames to store the graphics, process them # to select the right device if (!is.null(fileout)) { - deviceInfo <- .SelectDevice(fileout = fileout, + deviceInfo <- s2dverification:::.SelectDevice(fileout = fileout, width = 80 * ncols * figure.width, height = 80 * nrows, units = size_units, res = res) -- GitLab From 81ab4f0422b3e6c0c82286307bbe2b4df3899ece Mon Sep 17 00:00:00 2001 From: ncortesi Date: Fri, 27 Sep 2019 11:51:53 +0200 Subject: [PATCH 27/48] Added two new arguments: xlab_dist and ylab_dist --- man/PlotMatrix.Rd | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/man/PlotMatrix.Rd b/man/PlotMatrix.Rd index 18d15c11..3ab1a85d 100644 --- a/man/PlotMatrix.Rd +++ b/man/PlotMatrix.Rd @@ -8,7 +8,7 @@ PlotMatrix(var, brks = NULL, cols = NULL, toptitle = NULL, title.color = "royalblue4", xtitle = NULL, ytitle = NULL, xlabels = NULL, xvert = FALSE, ylabels = NULL, line = 3, figure.width = 1, legend = TRUE, legend.width = 0.15, fileout = NULL, - size_units = "px", res = 100, ...) + size_units = "px", res = 100, xlab_dist = NULL, ylab_dist = NULL, ...) } \arguments{ \item{var}{A numerical matrix containing the values to be displayed in a @@ -64,6 +64,10 @@ creator function of the corresponding device.} \item{res}{A positive number indicating resolution of the device (file or window) to plot in. See ?Devices and the creator function of the corresponding device.} +\item{xlab_dist}{A number specifying the distance between the x labels and the x axis.} + +\item{ylab_dist}{A number specifying the distance between the y labels and the y axis.} + \item{...}{The additional parameters to be passed to function ColorBar() in s2dverification for color legend creation.} } -- GitLab From 679aa5d1ca74b632adafdae8c31b46ea1875ce8c Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 30 Sep 2019 16:18:14 +0200 Subject: [PATCH 29/48] Add parameter 'xlab_dist' and 'ylab_dist' to PlotMatrix() --- R/PlotMatrix.R | 46 ++++++++++++++++++++++++++++++++++++---------- man/PlotMatrix.Rd | 15 +++++++++------ 2 files changed, 45 insertions(+), 16 deletions(-) diff --git a/R/PlotMatrix.R b/R/PlotMatrix.R index 748a06ae..c6395fc6 100644 --- a/R/PlotMatrix.R +++ b/R/PlotMatrix.R @@ -33,6 +33,10 @@ #' Set TRUE as default. #'@param legend.width A number between 0 and 0.5 to adjust the legend width. #' Set 0.15 as default. +#'@param xlab_dist A number specifying the distance between the x labels and +#' the x axis. If not specified, it equals to -1 - (nrow(var) / 10 - 1). +#'@param ylab_dist A number specifying the distance between the y labels and +#' the y axis. If not specified, it equals to 0.5 - ncol(var) / 10. #'@param fileout A string of full directory path and file name indicating where #' to save the plot. If not specified (default), a graphics device will pop up. #'@param size_units A string indicating the units of the size of the device @@ -60,8 +64,8 @@ PlotMatrix <- function(var, brks = NULL, cols = NULL, toptitle = NULL, title.color = "royalblue4", xtitle = NULL, ytitle = NULL, xlabels = NULL, xvert = FALSE, ylabels = NULL, line = 3, figure.width = 1, legend = TRUE, - legend.width = 0.15, fileout = NULL, - size_units = 'px', res = 100, ...) { + legend.width = 0.15, xlab_dist = NULL, ylab_dist = NULL, + fileout = NULL, size_units = 'px', res = 100, ...) { # Check variables: if (!is.matrix(var)) @@ -138,10 +142,21 @@ PlotMatrix <- function(var, brks = NULL, cols = NULL, axis.size <- (max(ncols, nrows) / 10) ^ 0.3 if (is.null(xlabels)) xlabels = 1:ncols if (is.null(ylabels)) ylabels = 1:nrows - axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, - cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (nrows / 10 - 1)) ## Add x-axis labels - axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), - cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - ncols / 10) ## Add y-axis labels + + if(is.null(xlab_dist)) { ## Add x axis labels + axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, + cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (nrows / 10 - 1)) + } else { + axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, + cex.axis = axis.size, tck = 0, lwd = 0, line = xlab_dist) + } + if(is.null(ylab_dist)) { ## Add y axis labels + axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), + cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - ncols / 10) + } else { + axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), + cex.axis = axis.size, tck = 0, lwd = 0, line = ylab_dist) + } } else { @@ -164,10 +179,21 @@ PlotMatrix <- function(var, brks = NULL, cols = NULL, axis.size <- 1 #(max(ncols, nrows) / 10) ^ 0.3 if (is.null(xlabels)) xlabels = 1:ncols if (is.null(ylabels)) ylabels = 1:nrows - axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, - cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (nrows / 10 - 1)) ## Add x-axis labels - axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), - cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - ncols / 10) ## Add y-axis labels + + if(is.null(xlab_dist)){ ## Add x axis labels + axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, + cex.axis = axis.size, tck = 0, lwd = 0, line = - 1 - (nrows / 10 - 1)) + } else { + axis(1, at = seq(0, ncols - 1), las = ifelse(xvert, 2, 1), labels = xlabels, + cex.axis = axis.size, tck = 0, lwd = 0, line = xlab_dist) + } + if(is.null(ylab_dist)){ ## Add y axis labels + axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), + cex.axis = axis.size, tck = 0, lwd = 0, line = 0.5 - ncols / 10) + } else { + axis(2, at = seq(1, nrows), las = 1, labels = rev(ylabels), + cex.axis = axis.size, tck = 0, lwd = 0, line = ylab_dist) + } } diff --git a/man/PlotMatrix.Rd b/man/PlotMatrix.Rd index 3ab1a85d..70c1211e 100644 --- a/man/PlotMatrix.Rd +++ b/man/PlotMatrix.Rd @@ -7,8 +7,9 @@ PlotMatrix(var, brks = NULL, cols = NULL, toptitle = NULL, title.color = "royalblue4", xtitle = NULL, ytitle = NULL, xlabels = NULL, xvert = FALSE, ylabels = NULL, line = 3, - figure.width = 1, legend = TRUE, legend.width = 0.15, fileout = NULL, - size_units = "px", res = 100, xlab_dist = NULL, ylab_dist = NULL, ...) + figure.width = 1, legend = TRUE, legend.width = 0.15, + xlab_dist = NULL, ylab_dist = NULL, fileout = NULL, size_units = "px", + res = 100, ...) } \arguments{ \item{var}{A numerical matrix containing the values to be displayed in a @@ -54,6 +55,12 @@ Set TRUE as default.} \item{legend.width}{A number between 0 and 0.5 to adjust the legend width. Set 0.15 as default.} +\item{xlab_dist}{A number specifying the distance between the x labels and +the x axis. If not specified, it equals to -1 - (nrow(var) / 10 - 1).} + +\item{ylab_dist}{A number specifying the distance between the y labels and +the y axis. If not specified, it equals to 0.5 - ncol(var) / 10.} + \item{fileout}{A string of full directory path and file name indicating where to save the plot. If not specified (default), a graphics device will pop up.} @@ -64,10 +71,6 @@ creator function of the corresponding device.} \item{res}{A positive number indicating resolution of the device (file or window) to plot in. See ?Devices and the creator function of the corresponding device.} -\item{xlab_dist}{A number specifying the distance between the x labels and the x axis.} - -\item{ylab_dist}{A number specifying the distance between the y labels and the y axis.} - \item{...}{The additional parameters to be passed to function ColorBar() in s2dverification for color legend creation.} } -- GitLab From ee1cbfb6649d5f2d44ddc776ee3f4da42f8495d8 Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 30 Sep 2019 16:37:08 +0200 Subject: [PATCH 30/48] Add PlotMatrix to NAMESPACE --- NAMESPACE | 1 + 1 file changed, 1 insertion(+) diff --git a/NAMESPACE b/NAMESPACE index 3e35710e..4e855789 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -56,6 +56,7 @@ export(PlotBoxWhisker) export(PlotClim) export(PlotEquiMap) export(PlotLayout) +export(PlotMatrix) export(PlotSection) export(PlotStereoMap) export(PlotVsLTime) -- GitLab From 85a7003c7e0489370d2305e71b3c43d77aa67ced Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 1 Oct 2019 11:01:40 +0200 Subject: [PATCH 31/48] Update NEWS.md --- NEWS.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/NEWS.md b/NEWS.md index 51b198b1..21dc20e7 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,7 @@ -# s2dverification 2.9.0 (Release date: ) -- Apply Roxygen2 to all the files. (2019.07.31) (An-Chi) +# s2dverification 2.8.6 (Release date: ) +- Apply Roxygen2 format to all the files. +- Bug fix in Composite(). +- Bug fix in Ano(). Recommend to assign the dimensions by name to avoid confusion when the dimensions have same length. +- Trend() documentation error fix. +- Introduce new function PlotMatrix(). -- GitLab From 03f069dbad25631911be61969db8720ab42e0d05 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 1 Oct 2019 12:45:58 +0200 Subject: [PATCH 32/48] Update NEWS.md --- NEWS.md | 133 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 133 insertions(+) diff --git a/NEWS.md b/NEWS.md index 21dc20e7..6d81252d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -5,3 +5,136 @@ - Trend() documentation error fix. - Introduce new function PlotMatrix(). +# s2dverification 2.8.0 (Release date: 2017-02-13) +- Change licence from GPL-3 to LGPL-3. +- New veriApply compatible score functions (.BrierScore, .Corr, .RMS, .RMSSS, .RatioRMS, .RatioSDRMS and .Trend). +- New function CDORemap to interpolate R arrays with CDO. +- New function ArrayToNetCDF to save R arrays with metadata in NetCDF files. +- Enhance plot_timeseries.R and plot_maps.R example scripts to work with file-per-chunk data, for auto-ecearth v3.2.1a. +- Add colour-blind colour bars for the map plots. +- Add warning in Load when extrapolating data. +- Bug fix in ProbBins when called with cross-validation. +- Enhance documentation. +- Adapt UltimateBrier to SpecsVerification 0.5-0. +- Enhancements to adjust size and resolution in plotting functions. +- Solve PlotEquiMap bug when values equal to the lower limit. +- Bug fix in Ano. +- Bug fix in PlotVsLTime. +- Small update in the configuration file. + +# s2dverification 2.7.0 (Release date: 2016-08-24) +Enhanced PlotEquiMap() and PlotStereoMap() with lots of new options and fixed issues: +- Colour bar with triangle ends and lots of new features. +- Margins, labels, ticks, colour bar, titles now arranged properly. +- Now possibile to adjust colour and border of continents, size, colour and type of contour lines, size of labels, ticks and margins, colour and width of boxes, etc. +- Draw multiple superimposed dot/symbol layers. +- Draw boxes in PlotStereoMap(). +- PlotStereoMap() with bounding circle. +- Add function PlotLayout() to automatically generate complex figure layouts and populate with plots from multi-dimensional arrays. +- Fix and updated corrupted example scripts (required for new auto-ecearth releases to work). +- Add function Subset() to easily take chunks of data arrays. +- Fix bug in Load() under some particular configurations. +- Enhance margins in PlotAno(). +- Update sample data to be together with metadata as provided by Load(). +- Update and fix in the BSC Load() configuration file. + +# s2dverification 2.6.0 (Release date: 2016-06-06) +- Update configuration file. +- Functions to compute variability modes and project data on EOF() and ProjectField(). +- Function to compute co·variability modes: SVD(), by Javi. +- Function to compute the NAO: NAO(), by Fabian, Virginie, Lauriane, Martin. +- Brier score/skill score accounting for small ensemble/start date sample size: UltimateBrier(). +- K-means spatial clustering: Cluster(). +- Synthetic data generator: ToyModel(). +- Tropical cyclone downscaling: StatSeasAtlHurr(). +- Function to composite fields: Composite(). +- Function to generate map animations: AnimateMap(). +- Function to plot time series with box-and-whisker plots: PlotBoxWhisker(). +- Possible to disable computation of confidence intervals or p-values in ACC(), Corr(), RatioRMS(), RatioSDRMS(), RMS(), RMSSS(), Spread() and Trend(). +- Possible to adjust confidence level in all functions that provide confidence intervals: ACC(), Corr(), RMS(), Spread() and Trend(). +- Possible to plot arrows in PlotEquiMap(). +- Possible to save plots in multiple formats, to file or onscreen from all plot functions. +- Objects returned by Load() are now closer to the format in downscaleR. The initial and end date of each time step is provided now. +- Enhancements in Smoothing(). +- Load() now stops if the tag $START_DATE$/$YEAR$+$MONTH$+$DAY$ is not in the path pattern of any of the experiments. + +# s2dverification 2.5.0 (Release date: 2016-01-04) +- Fix bugs when using masks in Load() +- Able to specify masks with paths to NetCDF files + +# s2dverification 2.4.7 (Release date: 2015-11-15) +- Update plot_timeseries.R to new paths and to 'ncdf4'. +- Improve performance when retrieving subsets of data (regions of earth or time periods). +- Add possibility to use Load() without a configuration file. See details on parameters 'exp' and 'obs' in ?Load + +Load() now returns plenty of metadata. Highlighted: +- Paths to all loaded files +- Paths to not found files +- Stamp with all the provided parameters to exactly reproduce any Load() call +- The name of the common grid (if any), following CDO's naming conventions + +Other enhancements in Load(): +- Enhance error handling and error messages +- Add “progress bar” +- Detect automatically grid of the files. No need to specify it +- Detect automatically if the requested variable is 2-dimensional or global mean. No need to specify it +- Possibility to load observations only, from a limited period of time only +- Possibility to load NetCDF files with disordered dimensions +- Remove system dependency of 's2dverification' to NCO and some GNU tools +- Simplify configuration file: removed lists of variables and reduced from 5 tables to 2, one for experimental datasets and one for observational datasets. You can convert old configuration files to the new format with the script in /shared/earth/software/scripts/convertConfig.R as follows: /shared/earth/software/scripts/convertConfig.R /path/to/configfile.conf +- Fix and updated the sample script plot_timeseries.R +- Fix wrong entries in BSC configuration file for some ice variables. + +# s2dverification 2.4.0 (Release date: 2015-07-27) +- Option to draw rectangles in PlotEquiMap() +- Motification of Corr() to accomodate ranked correlation +- Add the possibility to load the second set of HadCM3 decadal data (i3p1) +- Add functions to assist in manipulating the configuration file +- Improve examples that use extremely reduced experimental and observational datasets +- Uniformize documentation style +- Add possibility to configure dimension names to look for inside NetCDF files +- Add the possibility to load ESA observations from SMHI +- Fix bug that happened in some cases when a common grid is not specified + +# s2dverification 2.3.2 (Release date: 2015-04-23) +- New CRPS() function to compute the continuous ranked probability score for ensemble forecasts. +- New ProbBins() function to compute probabilistic information of a forecast relative to a threshold or a quantile. +- Load() stops and warns if the masks provided are not in the correct grid. +- Load() didn't apply, as expected, the same masks in observations as in experiments when possible. Now fixed. +- Enhancement in Clim() documentation. +- Enhancements in Load() and configuration file documentation. +- HadSLP dataset is now loadable + +# s2dverification 2.3.1 (Release date: 2015-03-09) +- Loading observations only fixed +- Loading only one leadtime fixed +- Loading a 2D variable when the first observation was not stored in file-per-dataset format fixed +- Parameter 'ncores' changed to 'nprocs' +- Improvements in configuration file mechanism and documentation + +# s2dverification 2.3.0 (Release date: 2015-03-02) +- Configuration file mechanism to specify new dataset or variable paths, grids, etc. +- New parameters in Load() to specify maximum and minimum values. +- New supported dataset formats. See '?Load' in R after loadings2dverificationfor more information. +- More efficient memory usage in Load() and usage of multiple parallel processes (faster). +- NetCDF4 + OPeNDAP support + +# s2dverification 2.2.0 (Release date: 2014-12-16) +- ACC provides confidence intervals obtained with bootstrap method +- Function to plot ACC score +- Function to plot variables on a polar stereographic projection +- Possibility of loading observations only +- Possibility to load more ice variables +- Adjustable significance level in the Corr function +- Adjustable number size in ColorBar + +# s2dverification 2.1.0 (Release date: 2014-01-23) +- Demo scripts 'plot_timeseries.R' and 'plot_maps.R' available in the 'inst/doc' directory in thes2dverificationrepository. +- Documentation on how to specify the grids and masks to the function Load() has been added to its help page, code and package manual. + +# s2dverification 2.0.0 (Release date: 2013-08-02) +- Use of the standard R package structure. +- Use of the google's R style guide. +- Functions that involved RClim set of funcions have been kept apartfrom the package (AnimVsLTime, BlueRed, PlotMap, ProjMap) as well as the authors. +- New functions have been added: Alpha, EnoNew, Filter, FitAcfCoef, FitAutocor, GenSeries, Spectrum. +- Extended help. -- GitLab From ef34ec752bab610d871a47f864250dbe4b0721e5 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 2 Oct 2019 10:58:01 +0200 Subject: [PATCH 33/48] Bumped version to v2.8.6 and fixes for CRAN. --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 78935b85..0045265c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: s2dverification Title: Set of Common Tools for Forecast Verification -Version: 2.8.5 +Version: 2.8.6 Authors@R: c( person("BSC-CNS", role = c("aut", "cph")), person("Virginie", "Guemas", , "virginie.guemas@bsc.es", role = "aut"), -- GitLab From 29964804a24d00d5c56ce3a35ddeb53200868930 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 2 Oct 2019 11:17:33 +0200 Subject: [PATCH 34/48] Hotfix for PlotMatrix.R --- R/PlotMatrix.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/PlotMatrix.R b/R/PlotMatrix.R index c6395fc6..8c830d74 100644 --- a/R/PlotMatrix.R +++ b/R/PlotMatrix.R @@ -105,7 +105,7 @@ PlotMatrix <- function(var, brks = NULL, cols = NULL, # If there is any filenames to store the graphics, process them # to select the right device if (!is.null(fileout)) { - deviceInfo <- s2dverification:::.SelectDevice(fileout = fileout, + deviceInfo <- .SelectDevice(fileout = fileout, width = 80 * ncols * figure.width, height = 80 * nrows, units = size_units, res = res) -- GitLab From e57ebdaa770e64f5d626b72d86ef496a6e1cf35a Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 2 Oct 2019 13:34:57 +0200 Subject: [PATCH 35/48] Hotfix .Rbuildignore for CRAN --- .Rbuildignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.Rbuildignore b/.Rbuildignore index aa8227b1..985172c4 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -9,3 +9,4 @@ README\.md$ \..*\.RData$ vignettes .gitlab-ci.yml +^inst$ -- GitLab From 790829ee297015b211407473486bb1f8f28c3d74 Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 7 Oct 2019 12:10:56 +0200 Subject: [PATCH 36/48] fix for Debian problem --- .Rbuildignore | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.Rbuildignore b/.Rbuildignore index 985172c4..7559a09b 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -9,4 +9,4 @@ README\.md$ \..*\.RData$ vignettes .gitlab-ci.yml -^inst$ +^inst/doc$ -- GitLab From 31ca281d5019e675e23304815ea80d92e9a7a57d Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 7 Oct 2019 13:29:17 +0200 Subject: [PATCH 37/48] Fix for CRAN --- .Rbuildignore | 1 - 1 file changed, 1 deletion(-) diff --git a/.Rbuildignore b/.Rbuildignore index 7559a09b..aa8227b1 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -9,4 +9,3 @@ README\.md$ \..*\.RData$ vignettes .gitlab-ci.yml -^inst/doc$ -- GitLab From 1c5a7b053f66ef53e6474fb473d6a885b2b81b12 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 16 Oct 2019 15:06:23 +0200 Subject: [PATCH 38/48] TRY to fix for CRAN Debian --- R/AnimateMap.R | 2 ++ R/Ano_CrossValid.R | 2 ++ R/Clim.R | 2 ++ R/Consist_Trend.R | 2 ++ R/Corr.R | 2 ++ R/Filter.R | 2 ++ R/Histo2Hindcast.R | 2 ++ R/Plot2VarsVsLTime.R | 2 ++ R/PlotACC.R | 2 ++ R/PlotAno.R | 2 ++ R/PlotBoxWhisker.R | 2 ++ R/PlotVsLTime.R | 2 ++ R/RMS.R | 2 ++ R/RMSSS.R | 2 ++ R/RatioSDRMS.R | 2 ++ R/Season.R | 2 ++ R/Smoothing.R | 2 ++ R/Spread.R | 2 ++ R/ToyModel.R | 4 +++- R/Trend.R | 2 ++ man/AnimateMap.Rd | 2 ++ man/Ano_CrossValid.Rd | 2 ++ man/Clim.Rd | 2 ++ man/Consist_Trend.Rd | 2 ++ man/Corr.Rd | 2 ++ man/Filter.Rd | 2 ++ man/Histo2Hindcast.Rd | 2 ++ man/Plot2VarsVsLTime.Rd | 2 ++ man/PlotACC.Rd | 2 ++ man/PlotAno.Rd | 2 ++ man/PlotBoxWhisker.Rd | 2 ++ man/PlotVsLTime.Rd | 2 ++ man/RMS.Rd | 2 ++ man/RMSSS.Rd | 2 ++ man/RatioSDRMS.Rd | 2 ++ man/Season.Rd | 2 ++ man/Smoothing.Rd | 2 ++ man/Spread.Rd | 2 ++ man/ToyModel.Rd | 4 +++- man/Trend.Rd | 2 ++ 40 files changed, 82 insertions(+), 2 deletions(-) diff --git a/R/AnimateMap.R b/R/AnimateMap.R index 0f4d4b38..83667d2a 100644 --- a/R/AnimateMap.R +++ b/R/AnimateMap.R @@ -148,11 +148,13 @@ #'dim_to_mean <- 2 # Mean along members #'rms <- RMS(Mean1Dim(season_means_mod, dim_to_mean), #' Mean1Dim(season_means_obs, dim_to_mean)) +#' \donttest{ #'AnimateMap(rms, sampleData$lon, sampleData$lat, toptitle = #' "RMSE decadal prediction", sizetit = 1, units = "degree", #' monini = 1, freq = 1, msk95lev = FALSE, brks = seq(0, 0.8, 0.08), #' intlon = 10, intlat = 10, filled.continents = TRUE, #' fileout = 'rmse_dec.gif') +#' } #'@importFrom grDevices postscript dev.off #'@export AnimateMap <- function(var, lon, lat, toptitle = rep("", 11), sizetit = 1, diff --git a/R/Ano_CrossValid.R b/R/Ano_CrossValid.R index e42941f2..954a0814 100644 --- a/R/Ano_CrossValid.R +++ b/R/Ano_CrossValid.R @@ -26,9 +26,11 @@ #'# Load sample data as in Load() example: #'example(Load) #'anomalies <- Ano_CrossValid(sampleData$mod, sampleData$obs) +#' \donttest{ #'PlotAno(anomalies$ano_exp, anomalies$ano_obs, startDates, #' toptitle = paste('anomalies'), ytitle = c('K', 'K', 'K'), #' legends = 'ERSST', biglab = FALSE, fileout = 'tos_ano_crossvalid.eps') +#' } #'@export Ano_CrossValid <- function(var_exp, var_obs, memb = TRUE) { # diff --git a/R/Clim.R b/R/Clim.R index 8a390ad4..8445e462 100644 --- a/R/Clim.R +++ b/R/Clim.R @@ -41,10 +41,12 @@ #'# Load sample data as in Load() example: #'example(Load) #'clim <- Clim(sampleData$mod, sampleData$obs) +#' \donttest{ #'PlotClim(clim$clim_exp, clim$clim_obs, #' toptitle = paste('sea surface temperature climatologies'), #' ytitle = 'K', monini = 11, listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, fileout = 'tos_clim.eps') +#' } #'@export Clim <- function(var_exp, var_obs, memb = TRUE, kharin = FALSE, NDV = FALSE) { # diff --git a/R/Consist_Trend.R b/R/Consist_Trend.R index 827440fc..2a82fd9c 100644 --- a/R/Consist_Trend.R +++ b/R/Consist_Trend.R @@ -57,6 +57,7 @@ #' Mean1Dim(smooth_ano_obs, dim_to_mean), #' years_between_startdates) #' +#' \donttest{ #'PlotVsLTime(trend$trend, toptitle = "trend", ytitle = "K/(5 years)", #' monini = 11, limits = c(-0.8, 0.8), listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, hlines = c(0), @@ -64,6 +65,7 @@ #'PlotAno(InsertDim(trend$detrendedmod,2,1), InsertDim(trend$detrendedobs,2,1), #' startDates, "Detrended tos anomalies", ytitle = 'K', #' legends = 'ERSST', biglab = FALSE, fileout = 'tos_detrended_ano.eps') +#' } #' #'@export Consist_Trend <- function(var_exp, var_obs, interval = 1) { diff --git a/R/Corr.R b/R/Corr.R index 18ae9b14..41900230 100644 --- a/R/Corr.R +++ b/R/Corr.R @@ -86,10 +86,12 @@ #' compROW = required_complete_row, #' limits = c(ceiling((runmean_months + 1) / 2), #' leadtimes_per_startdate - floor(runmean_months / 2))) +#' \donttest{ #'PlotVsLTime(corr, toptitle = "correlations", ytitle = "correlation", #' monini = 11, limits = c(-1, 2), listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, hlines = c(-1, 0, 1), #' fileout = 'tos_cor.eps') +#' } #' #'# The following example uses veriApply combined with .Corr instead of Corr #' \dontrun{ diff --git a/R/Filter.R b/R/Filter.R index 42c847f9..28a89dd2 100644 --- a/R/Filter.R +++ b/R/Filter.R @@ -30,9 +30,11 @@ #' } #' } #'} +#' \donttest{ #'PlotAno(InsertDim(ensmod, 2, 1), sdates = startDates, fileout = #' 'filtered_ensemble_mean.eps') #' +#' } #'@importFrom stats lm #'@export Filter <- function(xdata, freq) { diff --git a/R/Histo2Hindcast.R b/R/Histo2Hindcast.R index cb93ae86..7693319c 100644 --- a/R/Histo2Hindcast.R +++ b/R/Histo2Hindcast.R @@ -58,9 +58,11 @@ #' start_dates_out, leadtimes_per_startdate) #'observational_data <- Histo2Hindcast(sampleData$obs, startDates[1], #' start_dates_out, leadtimes_per_startdate) +#' \donttest{ #'PlotAno(experimental_data, observational_data, start_dates_out, #' toptitle = paste('anomalies reorganized into shorter chunks'), #' ytitle = 'K', fileout='tos_histo2hindcast.eps') +#' } #' #'@export Histo2Hindcast <- function(varin, sdatesin, sdatesout, nleadtimesout) { diff --git a/R/Plot2VarsVsLTime.R b/R/Plot2VarsVsLTime.R index c5d5abcf..1e2fc6d9 100644 --- a/R/Plot2VarsVsLTime.R +++ b/R/Plot2VarsVsLTime.R @@ -76,10 +76,12 @@ #'smooth_ano_exp_m_sub <- smooth_ano_exp - InsertDim(Mean1Dim(smooth_ano_exp, 2, #' narm = TRUE), 2, dim(smooth_ano_exp)[2]) #'spread <- Spread(smooth_ano_exp_m_sub, c(2, 3)) +#' \donttest{ #'Plot2VarsVsLTime(InsertDim(rms[, , , ], 1, 1), spread$sd, #' toptitle = 'RMSE and spread', monini = 11, freq = 12, #' listexp = c('CMIP5 IC3'), listvar = c('RMSE', 'spread'), #' fileout = 'plot2vars.eps') +#' } #' #'@importFrom grDevices png jpeg postscript pdf svg bmp tiff postscript dev.cur dev.new dev.off #'@importFrom stats ts diff --git a/R/PlotACC.R b/R/PlotACC.R index bff6511a..872327f1 100644 --- a/R/PlotACC.R +++ b/R/PlotACC.R @@ -85,8 +85,10 @@ #'ano_obs <- Ano(sampleData$obs, clim$clim_obs) #'acc <- ACC(Mean1Dim(sampleData$mod, 2), #' Mean1Dim(sampleData$obs, 2)) +#' \donttest{ #'PlotACC(acc$ACC, startDates, toptitle = "Anomaly Correlation Coefficient") #' +#' } #'@importFrom grDevices dev.cur dev.new dev.off #'@importFrom stats ts #'@export diff --git a/R/PlotAno.R b/R/PlotAno.R index cc897a92..922806aa 100644 --- a/R/PlotAno.R +++ b/R/PlotAno.R @@ -66,9 +66,11 @@ #'dim_to_smooth <- 4 # Smooth along lead-times #'smooth_ano_exp <- Smoothing(ano_exp, runmean_nb_months, dim_to_smooth) #'smooth_ano_obs <- Smoothing(ano_obs, runmean_nb_months, dim_to_smooth) +#' \donttest{ #'PlotAno(smooth_ano_exp, smooth_ano_obs, startDates, #' toptitle = paste('smoothed anomalies'), ytitle = c('K', 'K', 'K'), #' legends = 'ERSST', biglab = FALSE, fileout = 'tos_ano.eps') +#' } #' #'@importFrom grDevices dev.cur dev.new dev.off #'@importFrom stats ts diff --git a/R/PlotBoxWhisker.R b/R/PlotBoxWhisker.R index 1574522c..46c53355 100644 --- a/R/PlotBoxWhisker.R +++ b/R/PlotBoxWhisker.R @@ -95,8 +95,10 @@ #'ano <- Ano_CrossValid(sampleData$mod, sampleData$obs) #'nao <- NAO(ano$ano_exp, ano$ano_obs, sampleData$lon, sampleData$lat) #'# Finally plot the nao index +#' \donttest{ #'PlotBoxWhisker(nao$NAO_exp, nao$NAO_obs, "NAO index, DJF", "NAO index (PC1) TOS", #' monini = 12, yearini = 1985, freq = 1, "Exp. A", "Obs. X") +#' } #' #'@importFrom grDevices dev.cur dev.new dev.off #'@importFrom stats cor diff --git a/R/PlotVsLTime.R b/R/PlotVsLTime.R index e3f7b7f7..8920438c 100644 --- a/R/PlotVsLTime.R +++ b/R/PlotVsLTime.R @@ -90,10 +90,12 @@ #' compROW = required_complete_row, #' limits = c(ceiling((runmean_months + 1) / 2), #' leadtimes_per_startdate - floor(runmean_months / 2))) +#' \donttest{ #'PlotVsLTime(corr, toptitle = "correlations", ytitle = "correlation", #' monini = 11, limits = c(-1, 2), listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, hlines = c(-1, 0, 1), #' fileout = 'tos_cor.eps') +#' } #' #'@importFrom grDevices dev.cur dev.new dev.off #'@importFrom stats ts diff --git a/R/RMS.R b/R/RMS.R index bb3dd389..c83b4782 100644 --- a/R/RMS.R +++ b/R/RMS.R @@ -78,10 +78,12 @@ #' compROW = required_complete_row, #' limits = c(ceiling((runmean_months + 1) / 2), #' leadtimes_per_startdate - floor(runmean_months / 2))) +#' \donttest{ #'PlotVsLTime(rms, toptitle = "Root Mean Square Error", ytitle = "K", #' monini = 11, limits = NULL, listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, hlines = c(0), #' fileout = 'tos_rms.eps') +#' } #'# The following example uses veriApply combined with .RMS instead of RMS #' \dontrun{ #'require(easyVerification) diff --git a/R/RMSSS.R b/R/RMSSS.R index 16623b32..0ffe36f6 100644 --- a/R/RMSSS.R +++ b/R/RMSSS.R @@ -56,10 +56,12 @@ #'rmsss_plot <- array(dim = c(dim(rmsss)[1:2], 4, dim(rmsss)[4])) #'rmsss_plot[, , 2, ] <- rmsss[, , 1, ] #'rmsss_plot[, , 4, ] <- rmsss[, , 2, ] +#' \donttest{ #'PlotVsLTime(rmsss_plot, toptitle = "Root Mean Square Skill Score", ytitle = "", #' monini = 11, limits = c(-1, 1.3), listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, hlines = c(-1, 0, 1), #' fileout = 'tos_rmsss.eps') +#' } #'# The following example uses veriApply combined with .RMSSS instead of RMSSS #' \dontrun{ #'require(easyVerification) diff --git a/R/RatioSDRMS.R b/R/RatioSDRMS.R index ec16bc3b..62fe3ebc 100644 --- a/R/RatioSDRMS.R +++ b/R/RatioSDRMS.R @@ -50,10 +50,12 @@ #'rsdrms_plot <- array(dim = c(dim(rsdrms)[1:2], 4, dim(rsdrms)[4])) #'rsdrms_plot[, , 2, ] <- rsdrms[, , 1, ] #'rsdrms_plot[, , 4, ] <- rsdrms[, , 2, ] +#' \donttest{ #'PlotVsLTime(rsdrms_plot, toptitle = "Ratio ensemble spread / RMSE", ytitle = "", #' monini = 11, limits = c(-1, 1.3), listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, siglev = TRUE, #' fileout = 'tos_rsdrms.eps') +#' } #' #'# The following example uses veriApply combined with .RatioSDRMS instead of RatioSDRMS #' \dontrun{ diff --git a/R/Season.R b/R/Season.R index d9f95a51..baa19bbc 100644 --- a/R/Season.R +++ b/R/Season.R @@ -32,9 +32,11 @@ #' mean_start_month, mean_stop_month) #'season_means_obs <- Season(sampleData$obs, leadtimes_dimension, initial_month, #' mean_start_month, mean_stop_month) +#' \donttest{ #'PlotAno(season_means_mod, season_means_obs, startDates, #' toptitle = paste('winter (DJF) temperatures'), ytitle = c('K'), #' legends = 'ERSST', biglab = FALSE, fileout = 'tos_season_means.eps') +#' } #'@export Season <- function(var, posdim = 4, monini, moninf, monsup) { while (monsup < moninf) { diff --git a/R/Smoothing.R b/R/Smoothing.R index 65aac018..baf7edd2 100644 --- a/R/Smoothing.R +++ b/R/Smoothing.R @@ -28,9 +28,11 @@ #'dim_to_smooth <- 4 # Smooth along lead-times #'smooth_ano_exp <- Smoothing(ano_exp, runmean_months, dim_to_smooth) #'smooth_ano_obs <- Smoothing(ano_obs, runmean_months, dim_to_smooth) +#' \donttest{ #'PlotAno(smooth_ano_exp, smooth_ano_obs, startDates, #' toptitle = "Smoothed Mediterranean mean SST", ytitle = "K", #' fileout = "tos_smoothed_ano.eps") +#' } #'@import plyr #'@export Smoothing <- function(var, runmeanlen = 12, numdimt = 4) { diff --git a/R/Spread.R b/R/Spread.R index 5a8e0189..f69aa1b8 100644 --- a/R/Spread.R +++ b/R/Spread.R @@ -58,6 +58,7 @@ #'smooth_ano_exp_m_sub <- smooth_ano_exp - InsertDim(Mean1Dim(smooth_ano_exp, 2, #' narm = TRUE), 2, dim(smooth_ano_exp)[2]) #'spread <- Spread(smooth_ano_exp_m_sub, c(2, 3)) +#' \donttest{ #'PlotVsLTime(spread$iqr, #' toptitle = "Inter-Quartile Range between ensemble members", #' ytitle = "K", monini = 11, limits = NULL, @@ -75,6 +76,7 @@ #' ytitle = "K", monini = 11, limits = NULL, #' listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, #' hlines = c(0), fileout = 'tos_mad.eps') +#' } #' #'@importFrom stats IQR sd mad runif quantile #'@export diff --git a/R/ToyModel.R b/R/ToyModel.R index f0c9a22d..4b06facf 100644 --- a/R/ToyModel.R +++ b/R/ToyModel.R @@ -97,9 +97,11 @@ #' #'toyforecast <- ToyModel(alpha = a, beta = b, gamma = g, nmemb = nm, #' obsini = sampleData$obs, nstartd = 5, nleadt = 60) +#' \donttest{ #'PlotAno(toyforecast$mod, toyforecast$obs, startDates, #' toptitle = c("Synthetic decadal temperature prediction"), -#' fileout = "ex_toymodel.eps") +#' fileout = "ex_toymodel.eps") +#' } #' #'@importFrom stats rnorm #'@export diff --git a/R/Trend.R b/R/Trend.R index d8bfc601..a70c6db1 100644 --- a/R/Trend.R +++ b/R/Trend.R @@ -53,9 +53,11 @@ #' monini = 11, limits = c(-1,1), listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, hlines = 0, #' fileout = 'tos_obs_trend.eps') +#' \donttest{ #'PlotAno(trend$detrended, NULL, startDates, #' toptitle = 'detrended anomalies (along the startdates)', ytitle = 'K', #' legends = 'ERSST', biglab = FALSE, fileout = 'tos_detrended_obs.eps') +#' } #' #'@rdname Trend #'@export diff --git a/man/AnimateMap.Rd b/man/AnimateMap.Rd index 85eb04a9..96074b01 100644 --- a/man/AnimateMap.Rd +++ b/man/AnimateMap.Rd @@ -179,11 +179,13 @@ AnimateMap(Mean1Dim(season_means_mod, 2)[1, 1, , , ], sampleData$lon, dim_to_mean <- 2 # Mean along members rms <- RMS(Mean1Dim(season_means_mod, dim_to_mean), Mean1Dim(season_means_obs, dim_to_mean)) + \donttest{ AnimateMap(rms, sampleData$lon, sampleData$lat, toptitle = "RMSE decadal prediction", sizetit = 1, units = "degree", monini = 1, freq = 1, msk95lev = FALSE, brks = seq(0, 0.8, 0.08), intlon = 10, intlat = 10, filled.continents = TRUE, fileout = 'rmse_dec.gif') + } } \author{ History:\cr diff --git a/man/Ano_CrossValid.Rd b/man/Ano_CrossValid.Rd index bb2be436..85d1badb 100644 --- a/man/Ano_CrossValid.Rd +++ b/man/Ano_CrossValid.Rd @@ -31,9 +31,11 @@ with a cross-validation technique and a per-pair method. # Load sample data as in Load() example: example(Load) anomalies <- Ano_CrossValid(sampleData$mod, sampleData$obs) + \donttest{ PlotAno(anomalies$ano_exp, anomalies$ano_obs, startDates, toptitle = paste('anomalies'), ytitle = c('K', 'K', 'K'), legends = 'ERSST', biglab = FALSE, fileout = 'tos_ano_crossvalid.eps') + } } \author{ History:\cr diff --git a/man/Clim.Rd b/man/Clim.Rd index 3b11fe25..1ef5e3da 100644 --- a/man/Clim.Rd +++ b/man/Clim.Rd @@ -50,10 +50,12 @@ all the data (model and obs) are excluded when computing the climatologies. # Load sample data as in Load() example: example(Load) clim <- Clim(sampleData$mod, sampleData$obs) + \donttest{ PlotClim(clim$clim_exp, clim$clim_obs, toptitle = paste('sea surface temperature climatologies'), ytitle = 'K', monini = 11, listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, fileout = 'tos_clim.eps') + } } \author{ History:\cr diff --git a/man/Consist_Trend.Rd b/man/Consist_Trend.Rd index a2911c64..d067dcd7 100644 --- a/man/Consist_Trend.Rd +++ b/man/Consist_Trend.Rd @@ -63,6 +63,7 @@ trend <- Consist_Trend(Mean1Dim(smooth_ano_exp, dim_to_mean), Mean1Dim(smooth_ano_obs, dim_to_mean), years_between_startdates) + \donttest{ PlotVsLTime(trend$trend, toptitle = "trend", ytitle = "K/(5 years)", monini = 11, limits = c(-0.8, 0.8), listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, hlines = c(0), @@ -70,6 +71,7 @@ PlotVsLTime(trend$trend, toptitle = "trend", ytitle = "K/(5 years)", PlotAno(InsertDim(trend$detrendedmod,2,1), InsertDim(trend$detrendedobs,2,1), startDates, "Detrended tos anomalies", ytitle = 'K', legends = 'ERSST', biglab = FALSE, fileout = 'tos_detrended_ano.eps') + } } \author{ diff --git a/man/Corr.Rd b/man/Corr.Rd index fcaf149a..e311813d 100644 --- a/man/Corr.Rd +++ b/man/Corr.Rd @@ -104,10 +104,12 @@ corr <- Corr(Mean1Dim(smooth_ano_exp, dim_to_mean), compROW = required_complete_row, limits = c(ceiling((runmean_months + 1) / 2), leadtimes_per_startdate - floor(runmean_months / 2))) + \donttest{ PlotVsLTime(corr, toptitle = "correlations", ytitle = "correlation", monini = 11, limits = c(-1, 2), listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, hlines = c(-1, 0, 1), fileout = 'tos_cor.eps') + } # The following example uses veriApply combined with .Corr instead of Corr \dontrun{ diff --git a/man/Filter.Rd b/man/Filter.Rd index 3ee7df89..118e2840 100644 --- a/man/Filter.Rd +++ b/man/Filter.Rd @@ -36,9 +36,11 @@ for (jstartdate in 1:3) { } } } + \donttest{ PlotAno(InsertDim(ensmod, 2, 1), sdates = startDates, fileout = 'filtered_ensemble_mean.eps') + } } \author{ History:\cr diff --git a/man/Histo2Hindcast.Rd b/man/Histo2Hindcast.Rd index af494f1a..7000628a 100644 --- a/man/Histo2Hindcast.Rd +++ b/man/Histo2Hindcast.Rd @@ -66,9 +66,11 @@ experimental_data <- Histo2Hindcast(sampleData$mod, startDates[1], start_dates_out, leadtimes_per_startdate) observational_data <- Histo2Hindcast(sampleData$obs, startDates[1], start_dates_out, leadtimes_per_startdate) + \donttest{ PlotAno(experimental_data, observational_data, start_dates_out, toptitle = paste('anomalies reorganized into shorter chunks'), ytitle = 'K', fileout='tos_histo2hindcast.eps') + } } \author{ diff --git a/man/Plot2VarsVsLTime.Rd b/man/Plot2VarsVsLTime.Rd index e79fb34e..8ba44e4e 100644 --- a/man/Plot2VarsVsLTime.Rd +++ b/man/Plot2VarsVsLTime.Rd @@ -106,10 +106,12 @@ rms <- RMS(Mean1Dim(smooth_ano_exp, dim_to_mean), smooth_ano_exp_m_sub <- smooth_ano_exp - InsertDim(Mean1Dim(smooth_ano_exp, 2, narm = TRUE), 2, dim(smooth_ano_exp)[2]) spread <- Spread(smooth_ano_exp_m_sub, c(2, 3)) + \donttest{ Plot2VarsVsLTime(InsertDim(rms[, , , ], 1, 1), spread$sd, toptitle = 'RMSE and spread', monini = 11, freq = 12, listexp = c('CMIP5 IC3'), listvar = c('RMSE', 'spread'), fileout = 'plot2vars.eps') + } } \author{ diff --git a/man/PlotACC.Rd b/man/PlotACC.Rd index 3427f652..fc66200a 100644 --- a/man/PlotACC.Rd +++ b/man/PlotACC.Rd @@ -111,8 +111,10 @@ ano_exp <- Ano(sampleData$mod, clim$clim_exp) ano_obs <- Ano(sampleData$obs, clim$clim_obs) acc <- ACC(Mean1Dim(sampleData$mod, 2), Mean1Dim(sampleData$obs, 2)) + \donttest{ PlotACC(acc$ACC, startDates, toptitle = "Anomaly Correlation Coefficient") + } } \author{ History:\cr diff --git a/man/PlotAno.Rd b/man/PlotAno.Rd index 8a42d9fe..dd059310 100644 --- a/man/PlotAno.Rd +++ b/man/PlotAno.Rd @@ -96,9 +96,11 @@ runmean_nb_months <- 12 dim_to_smooth <- 4 # Smooth along lead-times smooth_ano_exp <- Smoothing(ano_exp, runmean_nb_months, dim_to_smooth) smooth_ano_obs <- Smoothing(ano_obs, runmean_nb_months, dim_to_smooth) + \donttest{ PlotAno(smooth_ano_exp, smooth_ano_obs, startDates, toptitle = paste('smoothed anomalies'), ytitle = c('K', 'K', 'K'), legends = 'ERSST', biglab = FALSE, fileout = 'tos_ano.eps') + } } \author{ diff --git a/man/PlotBoxWhisker.Rd b/man/PlotBoxWhisker.Rd index 31b7d4d4..a536686b 100644 --- a/man/PlotBoxWhisker.Rd +++ b/man/PlotBoxWhisker.Rd @@ -114,8 +114,10 @@ attr(sampleData$lat, 'last_lat') <- 80 ano <- Ano_CrossValid(sampleData$mod, sampleData$obs) nao <- NAO(ano$ano_exp, ano$ano_obs, sampleData$lon, sampleData$lat) # Finally plot the nao index + \donttest{ PlotBoxWhisker(nao$NAO_exp, nao$NAO_obs, "NAO index, DJF", "NAO index (PC1) TOS", monini = 12, yearini = 1985, freq = 1, "Exp. A", "Obs. X") + } } \author{ diff --git a/man/PlotVsLTime.Rd b/man/PlotVsLTime.Rd index e908e57b..2c71e9fa 100644 --- a/man/PlotVsLTime.Rd +++ b/man/PlotVsLTime.Rd @@ -117,10 +117,12 @@ corr <- Corr(Mean1Dim(smooth_ano_exp, dim_to_mean), compROW = required_complete_row, limits = c(ceiling((runmean_months + 1) / 2), leadtimes_per_startdate - floor(runmean_months / 2))) + \donttest{ PlotVsLTime(corr, toptitle = "correlations", ytitle = "correlation", monini = 11, limits = c(-1, 2), listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, hlines = c(-1, 0, 1), fileout = 'tos_cor.eps') + } } \author{ diff --git a/man/RMS.Rd b/man/RMS.Rd index cf26c75c..715f84d1 100644 --- a/man/RMS.Rd +++ b/man/RMS.Rd @@ -94,10 +94,12 @@ rms <- RMS(Mean1Dim(smooth_ano_exp, dim_to_mean), compROW = required_complete_row, limits = c(ceiling((runmean_months + 1) / 2), leadtimes_per_startdate - floor(runmean_months / 2))) + \donttest{ PlotVsLTime(rms, toptitle = "Root Mean Square Error", ytitle = "K", monini = 11, limits = NULL, listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, hlines = c(0), fileout = 'tos_rms.eps') + } # The following example uses veriApply combined with .RMS instead of RMS \dontrun{ require(easyVerification) diff --git a/man/RMSSS.Rd b/man/RMSSS.Rd index 234170b8..f602702b 100644 --- a/man/RMSSS.Rd +++ b/man/RMSSS.Rd @@ -70,10 +70,12 @@ rmsss <- RMSSS(Mean1Dim(ano_exp, 2), Mean1Dim(ano_obs, 2)) rmsss_plot <- array(dim = c(dim(rmsss)[1:2], 4, dim(rmsss)[4])) rmsss_plot[, , 2, ] <- rmsss[, , 1, ] rmsss_plot[, , 4, ] <- rmsss[, , 2, ] + \donttest{ PlotVsLTime(rmsss_plot, toptitle = "Root Mean Square Skill Score", ytitle = "", monini = 11, limits = c(-1, 1.3), listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, hlines = c(-1, 0, 1), fileout = 'tos_rmsss.eps') + } # The following example uses veriApply combined with .RMSSS instead of RMSSS \dontrun{ require(easyVerification) diff --git a/man/RatioSDRMS.Rd b/man/RatioSDRMS.Rd index bb5848a5..09484740 100644 --- a/man/RatioSDRMS.Rd +++ b/man/RatioSDRMS.Rd @@ -61,10 +61,12 @@ rsdrms <- RatioSDRMS(sampleData$mod, sampleData$obs) rsdrms_plot <- array(dim = c(dim(rsdrms)[1:2], 4, dim(rsdrms)[4])) rsdrms_plot[, , 2, ] <- rsdrms[, , 1, ] rsdrms_plot[, , 4, ] <- rsdrms[, , 2, ] + \donttest{ PlotVsLTime(rsdrms_plot, toptitle = "Ratio ensemble spread / RMSE", ytitle = "", monini = 11, limits = c(-1, 1.3), listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, siglev = TRUE, fileout = 'tos_rsdrms.eps') + } # The following example uses veriApply combined with .RatioSDRMS instead of RatioSDRMS \dontrun{ diff --git a/man/Season.Rd b/man/Season.Rd index 08487256..cc97941c 100644 --- a/man/Season.Rd +++ b/man/Season.Rd @@ -42,9 +42,11 @@ season_means_mod <- Season(sampleData$mod, leadtimes_dimension, initial_month, mean_start_month, mean_stop_month) season_means_obs <- Season(sampleData$obs, leadtimes_dimension, initial_month, mean_start_month, mean_stop_month) + \donttest{ PlotAno(season_means_mod, season_means_obs, startDates, toptitle = paste('winter (DJF) temperatures'), ytitle = c('K'), legends = 'ERSST', biglab = FALSE, fileout = 'tos_season_means.eps') + } } \author{ History:\cr diff --git a/man/Smoothing.Rd b/man/Smoothing.Rd index 77a23cc9..4fa9c596 100644 --- a/man/Smoothing.Rd +++ b/man/Smoothing.Rd @@ -32,9 +32,11 @@ runmean_months <- 12 dim_to_smooth <- 4 # Smooth along lead-times smooth_ano_exp <- Smoothing(ano_exp, runmean_months, dim_to_smooth) smooth_ano_obs <- Smoothing(ano_obs, runmean_months, dim_to_smooth) + \donttest{ PlotAno(smooth_ano_exp, smooth_ano_obs, startDates, toptitle = "Smoothed Mediterranean mean SST", ytitle = "K", fileout = "tos_smoothed_ano.eps") + } } \author{ History:\cr diff --git a/man/Spread.Rd b/man/Spread.Rd index bc14fa7a..f84cecf3 100644 --- a/man/Spread.Rd +++ b/man/Spread.Rd @@ -66,6 +66,7 @@ smooth_ano_exp <- Smoothing(ano_exp, runmean_months, dim_to_smooth) smooth_ano_exp_m_sub <- smooth_ano_exp - InsertDim(Mean1Dim(smooth_ano_exp, 2, narm = TRUE), 2, dim(smooth_ano_exp)[2]) spread <- Spread(smooth_ano_exp_m_sub, c(2, 3)) + \donttest{ PlotVsLTime(spread$iqr, toptitle = "Inter-Quartile Range between ensemble members", ytitle = "K", monini = 11, limits = NULL, @@ -83,6 +84,7 @@ PlotVsLTime(spread$mad, toptitle = "Median Absolute Deviation of the members", ytitle = "K", monini = 11, limits = NULL, listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, hlines = c(0), fileout = 'tos_mad.eps') + } } \author{ diff --git a/man/ToyModel.Rd b/man/ToyModel.Rd index da075960..ca47b449 100644 --- a/man/ToyModel.Rd +++ b/man/ToyModel.Rd @@ -112,9 +112,11 @@ nm <- 10 toyforecast <- ToyModel(alpha = a, beta = b, gamma = g, nmemb = nm, obsini = sampleData$obs, nstartd = 5, nleadt = 60) + \donttest{ PlotAno(toyforecast$mod, toyforecast$obs, startDates, toptitle = c("Synthetic decadal temperature prediction"), - fileout = "ex_toymodel.eps") + fileout = "ex_toymodel.eps") + } } \author{ diff --git a/man/Trend.Rd b/man/Trend.Rd index 71d2e1be..1f12a0dd 100644 --- a/man/Trend.Rd +++ b/man/Trend.Rd @@ -64,9 +64,11 @@ PlotVsLTime(trend$trend, toptitle = "trend", ytitle = "K / (5 year)", monini = 11, limits = c(-1,1), listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, hlines = 0, fileout = 'tos_obs_trend.eps') + \donttest{ PlotAno(trend$detrended, NULL, startDates, toptitle = 'detrended anomalies (along the startdates)', ytitle = 'K', legends = 'ERSST', biglab = FALSE, fileout = 'tos_detrended_obs.eps') + } } \author{ -- GitLab From 7e972a0e8fbd5d21f31501c2ffda1cff03071c73 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 16 Oct 2019 15:32:24 +0200 Subject: [PATCH 39/48] TRY to fix for CRAN Debian problem --- R/ACC.R | 2 ++ R/Ano.R | 2 ++ R/Filter.R | 2 +- R/NAO.R | 2 ++ man/ACC.Rd | 2 ++ man/Ano.Rd | 2 ++ man/Filter.Rd | 2 +- man/NAO.Rd | 2 ++ 8 files changed, 14 insertions(+), 2 deletions(-) diff --git a/R/ACC.R b/R/ACC.R index aeabc079..a00bacf7 100644 --- a/R/ACC.R +++ b/R/ACC.R @@ -77,7 +77,9 @@ #'ano_exp <- Ano(sampleData$mod, clim$clim_exp) #'ano_obs <- Ano(sampleData$obs, clim$clim_obs) #'acc <- ACC(Mean1Dim(ano_exp, 2), Mean1Dim(ano_obs, 2)) +#' \donttest{ #'PlotACC(acc$ACC, startDates) +#' } #'@references Joliffe and Stephenson (2012). Forecast Verification: A #' Practitioner's Guide in Atmospheric Science. Wiley-Blackwell. #'@keywords datagen diff --git a/R/Ano.R b/R/Ano.R index 657e7f9b..1c8ffee9 100644 --- a/R/Ano.R +++ b/R/Ano.R @@ -31,9 +31,11 @@ #'dim_to_smooth <- 4 # Smooth along lead-times #'smooth_ano_exp <- Smoothing(ano_exp, runmean_nb_months, dim_to_smooth) #'smooth_ano_obs <- Smoothing(ano_obs, runmean_nb_months, dim_to_smooth) +#' \donttest{ #'PlotAno(smooth_ano_exp, smooth_ano_obs, startDates, #' toptitle = paste('smoothed anomalies'), ytitle = c('K', 'K', 'K'), #' legends = 'ERSST', biglab = FALSE, fileout = 'tos_ano.eps') +#' } #'@export Ano <- function(var, clim) { # diff --git a/R/Filter.R b/R/Filter.R index 28a89dd2..474c9c59 100644 --- a/R/Filter.R +++ b/R/Filter.R @@ -33,8 +33,8 @@ #' \donttest{ #'PlotAno(InsertDim(ensmod, 2, 1), sdates = startDates, fileout = #' 'filtered_ensemble_mean.eps') -#' #' } +#' #'@importFrom stats lm #'@export Filter <- function(xdata, freq) { diff --git a/R/NAO.R b/R/NAO.R index c0d7c94d..bab4d3e0 100644 --- a/R/NAO.R +++ b/R/NAO.R @@ -111,8 +111,10 @@ #'# example data is not the full NAO area: NAO() will raise a warning. #'nao <- NAO(ano$ano_exp, ano$ano_obs, sampleData$lon, sampleData$lat) #'# Finally plot the NAO index +#' \donttest{ #'PlotBoxWhisker(nao$NAO_exp, nao$NAO_obs, "NAO index, DJF", "NAO index (PC1) TOS", #' monini = 12, yearini = 1985, freq = 1, "Exp. A", "Obs. X") +#' } #' #'@export NAO <- function(ano_exp = NULL, ano_obs = NULL, lon, lat, ftime_average = 2:4, obsproj = TRUE) { diff --git a/man/ACC.Rd b/man/ACC.Rd index 17e2d7cf..e3db377f 100644 --- a/man/ACC.Rd +++ b/man/ACC.Rd @@ -93,7 +93,9 @@ clim <- Clim(sampleData$mod, sampleData$obs) ano_exp <- Ano(sampleData$mod, clim$clim_exp) ano_obs <- Ano(sampleData$obs, clim$clim_obs) acc <- ACC(Mean1Dim(ano_exp, 2), Mean1Dim(ano_obs, 2)) + \donttest{ PlotACC(acc$ACC, startDates) + } } \author{ History:\cr diff --git a/man/Ano.Rd b/man/Ano.Rd index a2deb373..6143be88 100644 --- a/man/Ano.Rd +++ b/man/Ano.Rd @@ -37,9 +37,11 @@ runmean_nb_months <- 12 dim_to_smooth <- 4 # Smooth along lead-times smooth_ano_exp <- Smoothing(ano_exp, runmean_nb_months, dim_to_smooth) smooth_ano_obs <- Smoothing(ano_obs, runmean_nb_months, dim_to_smooth) + \donttest{ PlotAno(smooth_ano_exp, smooth_ano_obs, startDates, toptitle = paste('smoothed anomalies'), ytitle = c('K', 'K', 'K'), legends = 'ERSST', biglab = FALSE, fileout = 'tos_ano.eps') + } } \author{ History:\cr diff --git a/man/Filter.Rd b/man/Filter.Rd index 118e2840..3e40f105 100644 --- a/man/Filter.Rd +++ b/man/Filter.Rd @@ -39,8 +39,8 @@ for (jstartdate in 1:3) { \donttest{ PlotAno(InsertDim(ensmod, 2, 1), sdates = startDates, fileout = 'filtered_ensemble_mean.eps') - } + } \author{ History:\cr diff --git a/man/NAO.Rd b/man/NAO.Rd index 2767f7e8..24d58830 100644 --- a/man/NAO.Rd +++ b/man/NAO.Rd @@ -107,8 +107,10 @@ ano <- Ano_CrossValid(sampleData$mod, sampleData$obs) # example data is not the full NAO area: NAO() will raise a warning. nao <- NAO(ano$ano_exp, ano$ano_obs, sampleData$lon, sampleData$lat) # Finally plot the NAO index + \donttest{ PlotBoxWhisker(nao$NAO_exp, nao$NAO_obs, "NAO index, DJF", "NAO index (PC1) TOS", monini = 12, yearini = 1985, freq = 1, "Exp. A", "Obs. X") + } } \author{ -- GitLab From b4d0c378d66e570a44183d6da3ff07da9fcb7f61 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 16 Oct 2019 15:46:14 +0200 Subject: [PATCH 40/48] TRY to fix CRAN Debian problem --- R/PlotClim.R | 2 ++ R/Spectrum.R | 2 ++ R/Trend.R | 2 +- 3 files changed, 5 insertions(+), 1 deletion(-) diff --git a/R/PlotClim.R b/R/PlotClim.R index e7e6ac31..a002429f 100644 --- a/R/PlotClim.R +++ b/R/PlotClim.R @@ -49,9 +49,11 @@ #'# Load sample data as in Load() example: #'example(Load) #'clim <- Clim(sampleData$mod, sampleData$obs) +#' \donttest{ #'PlotClim(clim$clim_exp, clim$clim_obs, toptitle = paste('climatologies'), #' ytitle = 'K', monini = 11, listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, fileout = 'tos_clim.eps') +#' } #' #'@importFrom grDevices dev.cur dev.new dev.off #'@importFrom stats ts diff --git a/R/Spectrum.R b/R/Spectrum.R index bb9b2ca6..48f3823b 100644 --- a/R/Spectrum.R +++ b/R/Spectrum.R @@ -31,8 +31,10 @@ #' } #' } #'} +#' \donttest{ #'PlotAno(InsertDim(ensmod, 2, 1), sdates = startDates, fileout = #' 'filtered_ensemble_mean.eps') +#' } #' #'@importFrom stats spectrum cor rnorm sd quantile #'@export diff --git a/R/Trend.R b/R/Trend.R index a70c6db1..ba35b4d7 100644 --- a/R/Trend.R +++ b/R/Trend.R @@ -49,11 +49,11 @@ #'example(Load) #'months_between_startdates <- 60 #'trend <- Trend(sampleData$obs, 3, months_between_startdates) +#' \donttest{ #'PlotVsLTime(trend$trend, toptitle = "trend", ytitle = "K / (5 year)", #' monini = 11, limits = c(-1,1), listexp = c('CMIP5 IC3'), #' listobs = c('ERSST'), biglab = FALSE, hlines = 0, #' fileout = 'tos_obs_trend.eps') -#' \donttest{ #'PlotAno(trend$detrended, NULL, startDates, #' toptitle = 'detrended anomalies (along the startdates)', ytitle = 'K', #' legends = 'ERSST', biglab = FALSE, fileout = 'tos_detrended_obs.eps') -- GitLab From 520acf41414d62f30006997477682b01e1cfcacc Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 24 Oct 2019 09:20:47 +0200 Subject: [PATCH 41/48] hotfixes for v2.8.6 --- man/PlotClim.Rd | 2 ++ man/Spectrum.Rd | 2 ++ man/Trend.Rd | 2 +- 3 files changed, 5 insertions(+), 1 deletion(-) diff --git a/man/PlotClim.Rd b/man/PlotClim.Rd index 38c916cb..7ee001ee 100644 --- a/man/PlotClim.Rd +++ b/man/PlotClim.Rd @@ -74,9 +74,11 @@ c(nobs, nmemb, nltime) or c(nobs, nltime) for the observational data # Load sample data as in Load() example: example(Load) clim <- Clim(sampleData$mod, sampleData$obs) + \donttest{ PlotClim(clim$clim_exp, clim$clim_obs, toptitle = paste('climatologies'), ytitle = 'K', monini = 11, listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, fileout = 'tos_clim.eps') + } } \author{ diff --git a/man/Spectrum.Rd b/man/Spectrum.Rd index cd2dad7a..de5a2e5e 100644 --- a/man/Spectrum.Rd +++ b/man/Spectrum.Rd @@ -36,8 +36,10 @@ for (jstartdate in 1:3) { } } } + \donttest{ PlotAno(InsertDim(ensmod, 2, 1), sdates = startDates, fileout = 'filtered_ensemble_mean.eps') + } } \author{ diff --git a/man/Trend.Rd b/man/Trend.Rd index 1f12a0dd..3b7f7bfd 100644 --- a/man/Trend.Rd +++ b/man/Trend.Rd @@ -60,11 +60,11 @@ as input (exp). example(Load) months_between_startdates <- 60 trend <- Trend(sampleData$obs, 3, months_between_startdates) + \donttest{ PlotVsLTime(trend$trend, toptitle = "trend", ytitle = "K / (5 year)", monini = 11, limits = c(-1,1), listexp = c('CMIP5 IC3'), listobs = c('ERSST'), biglab = FALSE, hlines = 0, fileout = 'tos_obs_trend.eps') - \donttest{ PlotAno(trend$detrended, NULL, startDates, toptitle = 'detrended anomalies (along the startdates)', ytitle = 'K', legends = 'ERSST', biglab = FALSE, fileout = 'tos_detrended_obs.eps') -- GitLab From ead83854aaf42ae70966439afd2916c209dc9de8 Mon Sep 17 00:00:00 2001 From: nperez Date: Tue, 19 Nov 2019 17:47:18 +0100 Subject: [PATCH 42/48] ERA5 added to the BSC.config file --- inst/config/BSC.conf | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/inst/config/BSC.conf b/inst/config/BSC.conf index d9d617eb..aca91dbb 100644 --- a/inst/config/BSC.conf +++ b/inst/config/BSC.conf @@ -22,7 +22,7 @@ DEFAULT_DIM_NAME_MEMBERS = ensemble # Helper variables EXP_FILE = $VAR_NAME$_*$START_DATE$*.nc OBS_FILE = $VAR_NAME$_$YEAR$$MONTH$*.nc -RECON_LIST = (20thcr_v2|copernicus012|ds083.2|ecco|era40|era40-erainterim|eraclim|erainterim|erainterim-lores|eraland|gecco_v2|gfs|glorys2_v1|glorys2_v3|glosea5|ishii-kimoto|jra55|merra|merra_v2|ncep-reanalysis|oaflux|oi_v2|orap5|piomas|seaice-lim2|sst|tropflux|nemovar_system4) +RECON_LIST = (20thcr_v2|copernicus012|ds083.2|ecco|era40|era40-erainterim|eraclim|erainterim|erainterim-lores|eraland|gecco_v2|gfs|glorys2_v1|glorys2_v3|glosea5|ishii-kimoto|jra55|merra|merra_v2|ncep-reanalysis|oaflux|oi_v2|orap5|piomas|seaice-lim2|sst|tropflux|nemovar_system4|era5) # Defaults for extra variables from Load DEFAULT_FILE_GRID = -- GitLab From ff91b9ff7fdabb7de225205babf1ab6ec43c2139 Mon Sep 17 00:00:00 2001 From: aho Date: Fri, 29 Nov 2019 18:09:24 +0100 Subject: [PATCH 43/48] Fix daily data Dates attribute problem when daylight saving change --- R/Load.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/Load.R b/R/Load.R index e17f3cfa..cded9565 100644 --- a/R/Load.R +++ b/R/Load.R @@ -2209,7 +2209,7 @@ Load <- function(var, exp = NULL, obs = NULL, sdates, nmember = NULL, } else if (storefreq == 'hourly') { store_period <- 'hour' } else if (storefreq == 'daily') { - store_period <- 'day' + store_period <- 'DSTday' } else if (storefreq == 'monthly') { store_period <- 'month' } -- GitLab From b405ddab1add37fcb2798fb9fc7f929eb8ef8a09 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 19 Dec 2019 17:00:32 +0100 Subject: [PATCH 44/48] Modify InsertDim() with Apply --- DESCRIPTION | 3 +- R/InsertDim.R | 125 ++++++++++++++++++++++---------- man/InsertDim.Rd | 19 +++-- tests/testthat/test-InsertDim.R | 95 ++++++++++++++++++++++++ 4 files changed, 191 insertions(+), 51 deletions(-) create mode 100644 tests/testthat/test-InsertDim.R diff --git a/DESCRIPTION b/DESCRIPTION index 0045265c..6780c83d 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -50,7 +50,8 @@ Imports: ncdf4, parallel, plyr, - SpecsVerification (>= 0.5.0) + SpecsVerification (>= 0.5.0), + multiApply (>= 2.0.0) Suggests: easyVerification, testthat diff --git a/R/InsertDim.R b/R/InsertDim.R index 2e7a9b82..0ead01c8 100644 --- a/R/InsertDim.R +++ b/R/InsertDim.R @@ -1,59 +1,104 @@ -#'Adds A Dimension To An Array +#'Add A Dimension To An Array #' -#'Inserts an extra dimension into an array at position 'posdim' with length +#'Insert an extra dimension into an array at position 'posdim' with length #''lendim' and which correspond to 'lendim' repetitions of the 'var' array. #' -#'@param var Matrix to which a dimension should be added. -#'@param posdim Position of the new dimension. -#'@param lendim Length of the new dimension. +#'@param data An array to which the additional dimension to be added. +#'@param posdim An integer indicating the position of the new dimension. +#'@param lendim An integer indicating the length of the new dimension. #' -#'@return Matrix with the added dimension. +#'@return An array as parameter 'data' but with the added dimension. #' #'@keywords datagen #'@author History:\cr #'0.1 - 2011-03 (V. Guemas, \email{virginie.guemas@ic3.cat}) - Original code\cr #'1.0 - 2013-09 (N. Manubens, \email{nicolau.manubens@ic3.cat}) - Formatting to R CRAN\cr #'1.1 - 2015-03 (N. Manubens, \email{nicolau.manubens@ic3.cat}) - Improvements +#'3.0 - 2019-12 (A. Ho, \email{an.ho@bsc.es}) - Modify with multiApply +#' #'@examples #'a <- array(rnorm(15), dim = c(3, 1, 5, 1)) -#'print(dim(a)) -#'print(dim(a[, , , ])) -#'print(dim(InsertDim(InsertDim(a[, , , ], 2, 1), 4, 1))) +#'res <- InsertDim(InsertDim(a[, , , ], 2, 1), 4, 1) #' #'@export -InsertDim <- function(var, posdim, lendim) { - if (is.numeric(var) || is.logical(var)) { - dimsvar <- dim(var) - if (is.null(dimsvar)) { - dimsvar <- length(var) +InsertDim <- function(data, posdim, lendim, ncores = NULL) { + + # Check inputs + ## data + if (is.null(data)) { + stop("Parameter 'data' cannot be NULL.") + } + if (is.vector(data) & !is.list(data)) { #is vector + data <- as.array(data) + } + if (!is.array(data)) { + stop("Parameter 'data' must be an array.") + } + ## posdim + if (!is.numeric(posdim)) { + stop("Parameter 'posdim' must be a positive integer.") + } + if (posdim %% 1 != 0 | posdim <= 0 | length(posdim) > 1) { + stop("Parameter 'posdim' must be a positive integer.") + } + if (posdim > (length(dim(data)) + 1)) { + stop("Parameter 'posdim' cannot excess the number of dimensions of parameter 'data' plus 1") + } + ## lendim + if (!is.numeric(lendim)) { + stop("Parameter 'lendim' must be a positive integer.") + } + if (lendim %% 1 != 0 | lendim <= 0 | length(lendim) > 1) { + stop("Parameter 'lendim' must be a positive integer.") + } + ## ncores + if (!is.null(ncores)) { + if (!is.numeric(ncores)) { + stop("Parameter 'ncores' must be a positive integer.") } - outdim <- lendim - if (posdim <= (length(dimsvar) + 1)) { - if (posdim > 1) { - outdim <- c(dimsvar[1:(posdim - 1)], outdim) - } - if (posdim <= length(dimsvar)) { - outdim <- c(outdim, dimsvar[posdim:length(dimsvar)]) - } - outvar <- array(dim = c(outdim, rep(1, 10 - length(outdim)))) - # - # Duplicate the matrix along the required (posdim)th dimension - # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - # - u <- IniListDims(outdim, 10) - for (jindex in 1:lendim) { - u[[posdim]] <- jindex - outvar[u[[1]], u[[2]], u[[3]], u[[4]], u[[5]], u[[6]], u[[7]], u[[8]], u[[9]], u[[10]]] <- var - } - # - # Outputs - # ~~~~~~~~~ - dim(outvar) <- outdim - outvar - } else { - stop("'posdim' must be smaller or equal to the number of dimensions of 'var' plus 1") + if (ncores %% 1 != 0 | ncores < 0 | length(ncores) > 1) { + stop("Parameter 'ncores' must be a positive integer.") + } + } + + ############################### + # Calculate InsertDim + + ## create output dimension + outdim <- lendim + if (posdim > 1) { + outdim <- c(dim(data)[1:(posdim - 1)], outdim) + } + if (posdim <= length(dim(data))) { + outdim <- c(outdim, dim(data)[posdim:length(dim(data))]) + } + ## create output array + outvar <- array(dim = c(outdim)) + ## give temporary names for Apply(). The name will be replaced by data in the end + names(dim(outvar)) <- paste0('D', 1:length(outdim)) + names(dim(outvar))[posdim] <- 'new' + + res <- Apply(data = list(outvar), + margins = 'new', + fun = .InsertDim, + dat = data, + ncores = ncores)$output1 +#print(dim(res)) +#print(c(1:(posdim - 1), length(outdim), posdim:(length(outdim) - 1))) + if (posdim != 1) { + if (posdim < length(outdim)) { + res <- s2dverification:::.aperm2(res, c(1:(posdim - 1), length(outdim), posdim:(length(outdim) - 1))) + } else { #posdim = length(outdim) + res <- s2dverification:::.aperm2(res, c(1:(posdim - 1), length(outdim))) } } else { - stop("'var' must be a numeric object.") + res <- s2dverification:::.aperm2(res, c(length(outdim), 1:(length(outdim) - 1))) } + + return(res) +} + +.InsertDim <- function(x, dat) { + x <- data + return(x) } diff --git a/man/InsertDim.Rd b/man/InsertDim.Rd index 4cdc5377..a43cca71 100644 --- a/man/InsertDim.Rd +++ b/man/InsertDim.Rd @@ -2,29 +2,27 @@ % Please edit documentation in R/InsertDim.R \name{InsertDim} \alias{InsertDim} -\title{Adds A Dimension To An Array} +\title{Add A Dimension To An Array} \usage{ -InsertDim(var, posdim, lendim) +InsertDim(data, posdim, lendim, ncores = NULL) } \arguments{ -\item{var}{Matrix to which a dimension should be added.} +\item{data}{An array to which the additional dimension to be added.} -\item{posdim}{Position of the new dimension.} +\item{posdim}{An integer indicating the position of the new dimension.} -\item{lendim}{Length of the new dimension.} +\item{lendim}{An integer indicating the length of the new dimension.} } \value{ -Matrix with the added dimension. +An array as parameter 'data' but with the added dimension. } \description{ -Inserts an extra dimension into an array at position 'posdim' with length +Insert an extra dimension into an array at position 'posdim' with length 'lendim' and which correspond to 'lendim' repetitions of the 'var' array. } \examples{ a <- array(rnorm(15), dim = c(3, 1, 5, 1)) -print(dim(a)) -print(dim(a[, , , ])) -print(dim(InsertDim(InsertDim(a[, , , ], 2, 1), 4, 1))) +res <- InsertDim(InsertDim(a[, , , ], 2, 1), 4, 1) } \author{ @@ -32,6 +30,7 @@ History:\cr 0.1 - 2011-03 (V. Guemas, \email{virginie.guemas@ic3.cat}) - Original code\cr 1.0 - 2013-09 (N. Manubens, \email{nicolau.manubens@ic3.cat}) - Formatting to R CRAN\cr 1.1 - 2015-03 (N. Manubens, \email{nicolau.manubens@ic3.cat}) - Improvements +3.0 - 2019-12 (A. Ho, \email{an.ho@bsc.es}) - Modify with multiApply } \keyword{datagen} diff --git a/tests/testthat/test-InsertDim.R b/tests/testthat/test-InsertDim.R new file mode 100644 index 00000000..95012c7d --- /dev/null +++ b/tests/testthat/test-InsertDim.R @@ -0,0 +1,95 @@ +context("s2dverification::InsertDim tests") + +############################################## + dat1 <- array(c(1:26), dim = c(dat = 1, sdate = 13, ftime = 2)) + dat2 <- array(c(1:24), dim = c(2, 3, c = 4)) +############################################## +test_that("1. Input checks", { + + expect_error( + InsertDim(c()), + "Parameter 'data' cannot be NULL." + ) + + expect_error( + InsertDim(list(1:10), posdim = 1, lendim = 1), + "Parameter 'data' must be an array." + ) + + expect_error( + InsertDim(1:10, posdim = 'a', lendim = 2), + "Parameter 'posdim' must be a positive integer." + ) + + expect_error( + InsertDim(1:10, posdim = 0, lendim = 2), + "Parameter 'posdim' must be a positive integer." + ) + + expect_error( + InsertDim(1:10, posdim = 5, lendim = 2), + "Parameter 'posdim' cannot excess the number of dimensions of parameter 'data' plus 1" + ) + + expect_error( + InsertDim(1:10, posdim = 1, lendim = 0.2), + InsertDim("Parameter 'lendim' must be a positive integer."), + ) + + expect_error( + InsertDim(1:10, posdim = 1, lendim = T), + InsertDim("Parameter 'lendim' must be a positive integer."), + ) + + expect_error( + InsertDim(1:10, posdim = 1, lendim = 1, ncores = 'a'), + "Parameter 'ncores' must be a positive integer." + ) + + expect_error( + InsertDim(1:10, posdim = 1, lendim = 1, ncores = 0), + "Parameter 'ncores' must be a positive integer." + ) + +}) + +############################################## +test_that("2. Output checks: dat1", { + + expect_equal( + dim(InsertDim(dat1, posdim = 1, lendim = 2)), + dim(array(dim = c(new = 2, dat = 1, sdate = 13, ftime = 2))) + ) + expect_equal( + as.vector(InsertDim(dat1, posdim = 1, lendim = 2)[1,,,]), + as.vector(dat1) + ) + expect_equal( + as.vector(InsertDim(dat1, posdim = 1, lendim = 2)[2,,,]), + as.vector(dat1) + ) + +}) + +############################################## +test_that("3. Output checks: dat2", { + + expect_equal( + dim(InsertDim(dat2, posdim = 4, lendim = 2)), + dim(array(dim = c(2, 3, c = 4, new = 2))) + ) + + expect_equal( + as.vector(InsertDim(dat2, posdim = 3, lendim = 1)[,,1,]), + as.vector(dat2) + ) + + expect_equal( + dim(InsertDim(InsertDim(dat2, posdim = 4, lendim = 2), posdim = 1, lendim = 4)), + dim(array(dim = c(new = 4, 2, 3, c = 4, new = 2))) + ) + +}) + +############################################## + -- GitLab From 359cbde584d5d64648c6aa4d67d3358769ed6a02 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 19 Dec 2019 17:13:45 +0100 Subject: [PATCH 45/48] Small fix --- R/InsertDim.R | 10 ++++------ tests/testthat/test-InsertDim.R | 4 ++-- 2 files changed, 6 insertions(+), 8 deletions(-) diff --git a/R/InsertDim.R b/R/InsertDim.R index 0ead01c8..e14988f5 100644 --- a/R/InsertDim.R +++ b/R/InsertDim.R @@ -20,6 +20,7 @@ #'a <- array(rnorm(15), dim = c(3, 1, 5, 1)) #'res <- InsertDim(InsertDim(a[, , , ], 2, 1), 4, 1) #' +#'@import multiApply #'@export InsertDim <- function(data, posdim, lendim, ncores = NULL) { @@ -37,8 +38,7 @@ InsertDim <- function(data, posdim, lendim, ncores = NULL) { ## posdim if (!is.numeric(posdim)) { stop("Parameter 'posdim' must be a positive integer.") - } - if (posdim %% 1 != 0 | posdim <= 0 | length(posdim) > 1) { + } else if (posdim %% 1 != 0 | posdim <= 0 | length(posdim) > 1) { stop("Parameter 'posdim' must be a positive integer.") } if (posdim > (length(dim(data)) + 1)) { @@ -47,16 +47,14 @@ InsertDim <- function(data, posdim, lendim, ncores = NULL) { ## lendim if (!is.numeric(lendim)) { stop("Parameter 'lendim' must be a positive integer.") - } - if (lendim %% 1 != 0 | lendim <= 0 | length(lendim) > 1) { + } else if (lendim %% 1 != 0 | lendim <= 0 | length(lendim) > 1) { stop("Parameter 'lendim' must be a positive integer.") } ## ncores if (!is.null(ncores)) { if (!is.numeric(ncores)) { stop("Parameter 'ncores' must be a positive integer.") - } - if (ncores %% 1 != 0 | ncores < 0 | length(ncores) > 1) { + } else if (ncores %% 1 != 0 | ncores <= 0 | length(ncores) > 1) { stop("Parameter 'ncores' must be a positive integer.") } } diff --git a/tests/testthat/test-InsertDim.R b/tests/testthat/test-InsertDim.R index 95012c7d..c3e802bf 100644 --- a/tests/testthat/test-InsertDim.R +++ b/tests/testthat/test-InsertDim.R @@ -33,12 +33,12 @@ test_that("1. Input checks", { expect_error( InsertDim(1:10, posdim = 1, lendim = 0.2), - InsertDim("Parameter 'lendim' must be a positive integer."), + "Parameter 'lendim' must be a positive integer." ) expect_error( InsertDim(1:10, posdim = 1, lendim = T), - InsertDim("Parameter 'lendim' must be a positive integer."), + "Parameter 'lendim' must be a positive integer." ) expect_error( -- GitLab From 696d16512773ef09925e5ecf7494e7401854f0a4 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 19 Dec 2019 17:30:01 +0100 Subject: [PATCH 46/48] Small fix --- R/InsertDim.R | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/R/InsertDim.R b/R/InsertDim.R index e14988f5..869f41ac 100644 --- a/R/InsertDim.R +++ b/R/InsertDim.R @@ -81,16 +81,15 @@ InsertDim <- function(data, posdim, lendim, ncores = NULL) { fun = .InsertDim, dat = data, ncores = ncores)$output1 -#print(dim(res)) -#print(c(1:(posdim - 1), length(outdim), posdim:(length(outdim) - 1))) + if (posdim != 1) { if (posdim < length(outdim)) { - res <- s2dverification:::.aperm2(res, c(1:(posdim - 1), length(outdim), posdim:(length(outdim) - 1))) + res <- .aperm2(res, c(1:(posdim - 1), length(outdim), posdim:(length(outdim) - 1))) } else { #posdim = length(outdim) - res <- s2dverification:::.aperm2(res, c(1:(posdim - 1), length(outdim))) + res <- .aperm2(res, c(1:(posdim - 1), length(outdim))) } } else { - res <- s2dverification:::.aperm2(res, c(length(outdim), 1:(length(outdim) - 1))) + res <- .aperm2(res, c(length(outdim), 1:(length(outdim) - 1))) } return(res) -- GitLab From f93c3ebc1e2edfc3bb3af2c6e9fdeb9bb87812e1 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 28 Jan 2020 18:03:32 +0100 Subject: [PATCH 47/48] Add new param 'name'. --- R/InsertDim.R | 15 ++++++++++----- tests/testthat/test-InsertDim.R | 13 ++++--------- 2 files changed, 14 insertions(+), 14 deletions(-) diff --git a/R/InsertDim.R b/R/InsertDim.R index 869f41ac..c2c128bd 100644 --- a/R/InsertDim.R +++ b/R/InsertDim.R @@ -1,11 +1,12 @@ -#'Add A Dimension To An Array +#'Add a dimension to an array #' #'Insert an extra dimension into an array at position 'posdim' with length -#''lendim' and which correspond to 'lendim' repetitions of the 'var' array. +#''lendim'. The array repeats along the new dimension. #' #'@param data An array to which the additional dimension to be added. #'@param posdim An integer indicating the position of the new dimension. #'@param lendim An integer indicating the length of the new dimension. +#'@param name A character string indicating the name for the new dimension. #' #'@return An array as parameter 'data' but with the added dimension. #' @@ -22,7 +23,7 @@ #' #'@import multiApply #'@export -InsertDim <- function(data, posdim, lendim, ncores = NULL) { +InsertDim <- function(data, posdim, lendim, name = 'new', ncores = NULL) { # Check inputs ## data @@ -50,6 +51,10 @@ InsertDim <- function(data, posdim, lendim, ncores = NULL) { } else if (lendim %% 1 != 0 | lendim <= 0 | length(lendim) > 1) { stop("Parameter 'lendim' must be a positive integer.") } + ## name + if (!is.character(name) | length(name) > 1) { + stop("Parameter 'name' must be a character string.") + } ## ncores if (!is.null(ncores)) { if (!is.numeric(ncores)) { @@ -74,10 +79,10 @@ InsertDim <- function(data, posdim, lendim, ncores = NULL) { outvar <- array(dim = c(outdim)) ## give temporary names for Apply(). The name will be replaced by data in the end names(dim(outvar)) <- paste0('D', 1:length(outdim)) - names(dim(outvar))[posdim] <- 'new' + names(dim(outvar))[posdim] <- name #'new' res <- Apply(data = list(outvar), - margins = 'new', + margins = name, #'new', fun = .InsertDim, dat = data, ncores = ncores)$output1 diff --git a/tests/testthat/test-InsertDim.R b/tests/testthat/test-InsertDim.R index c3e802bf..6a783876 100644 --- a/tests/testthat/test-InsertDim.R +++ b/tests/testthat/test-InsertDim.R @@ -10,47 +10,42 @@ test_that("1. Input checks", { InsertDim(c()), "Parameter 'data' cannot be NULL." ) - expect_error( InsertDim(list(1:10), posdim = 1, lendim = 1), "Parameter 'data' must be an array." ) - expect_error( InsertDim(1:10, posdim = 'a', lendim = 2), "Parameter 'posdim' must be a positive integer." ) - expect_error( InsertDim(1:10, posdim = 0, lendim = 2), "Parameter 'posdim' must be a positive integer." ) - expect_error( InsertDim(1:10, posdim = 5, lendim = 2), "Parameter 'posdim' cannot excess the number of dimensions of parameter 'data' plus 1" ) - expect_error( InsertDim(1:10, posdim = 1, lendim = 0.2), "Parameter 'lendim' must be a positive integer." ) - expect_error( InsertDim(1:10, posdim = 1, lendim = T), "Parameter 'lendim' must be a positive integer." ) - expect_error( InsertDim(1:10, posdim = 1, lendim = 1, ncores = 'a'), "Parameter 'ncores' must be a positive integer." ) - expect_error( InsertDim(1:10, posdim = 1, lendim = 1, ncores = 0), "Parameter 'ncores' must be a positive integer." ) - + expect_error( + InsertDim(1:10, posdim = 1, lendim = 1, name = 1), + "Parameter 'name' must be a character string." + ) }) ############################################## -- GitLab From f9a55f05f92180b1d3e028338f5bc41c90581555 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 28 Jan 2020 18:06:56 +0100 Subject: [PATCH 48/48] Update document --- NAMESPACE | 1 + man/InsertDim.Rd | 8 +++++--- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 4e855789..00c59bfa 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -90,6 +90,7 @@ import(graphics) import(mapproj) import(maps) import(methods) +import(multiApply) import(ncdf4) import(parallel) import(plyr) diff --git a/man/InsertDim.Rd b/man/InsertDim.Rd index a43cca71..734f4967 100644 --- a/man/InsertDim.Rd +++ b/man/InsertDim.Rd @@ -2,9 +2,9 @@ % Please edit documentation in R/InsertDim.R \name{InsertDim} \alias{InsertDim} -\title{Add A Dimension To An Array} +\title{Add a dimension to an array} \usage{ -InsertDim(data, posdim, lendim, ncores = NULL) +InsertDim(data, posdim, lendim, name = "new", ncores = NULL) } \arguments{ \item{data}{An array to which the additional dimension to be added.} @@ -12,13 +12,15 @@ InsertDim(data, posdim, lendim, ncores = NULL) \item{posdim}{An integer indicating the position of the new dimension.} \item{lendim}{An integer indicating the length of the new dimension.} + +\item{name}{A character string indicating the name for the new dimension.} } \value{ An array as parameter 'data' but with the added dimension. } \description{ Insert an extra dimension into an array at position 'posdim' with length -'lendim' and which correspond to 'lendim' repetitions of the 'var' array. +'lendim'. The array repeats along the new dimension. } \examples{ a <- array(rnorm(15), dim = c(3, 1, 5, 1)) -- GitLab

    9t;FVXd@y5gC`lrA#HkAX)5kkp~ z_0STON&ax*Gdudfkj#L#@}cM~*0o?V89@_3ip?TNlu@&L{`|QF(?OV6%+vFk{I1V$ zi0w*57>FGJ`JoPsos7v;J%|V_L_U>DEQck(pRfvwysy|z744&}m~jU0RE>UNK|w(Q zfd^@$Sj{ttB)dob2EB;AO(MPNCj6q-Hpy#x=H?3^PMK^$GRVULnl@tNQA0kfI73oien#|v0uDRU4XVFCks2^l#D4OiDu1P=c86=Cd%pquWF{HMb-?E8e$ z0vg}0duBHGBfw*!qrRq~W1?;Lb2rmFDX_pb$W|Gds!+@Usz&(K%{f0XtwjbjT;2}c&(IWl!1gi+506-V0U*-s*(YgDXHpoP9^W}4`Z^hz~ z{OKO!M%b1i&XUbkhDt_^|7B{7%qUrb%T>~z7>q6)HrIjy<$p(y` zAC`CvG3UnI+Lm<0|mNiS*)}c7H~qN5twJAXhXJryraQMnU6jUD(P2P`c1>kQi87RRuuF9ib>RGgLqx^Ih=q zxM-vnj*otZRF4Cb`Iymi4lK6QyI)Z96l9rTiFs>p5~&MV<&5U50q0Lx%_uhO zAH+6sKm{?%aeRE-**6|Rw!sq>6AWb6JEi`yn}F=71_XAavN)LmU5#l%9%R7wv~py4 z_}JaWIXl>^`ucj{YM}QWOnNf4Y|u7R!L^-FB&zMGTObUEGZ=(Rg_yOuIqS2|4v0Xf z-?X!uo1brefd%M(d_S$j^Za~Q-Dn^f3YAo-t+ZUYU1rjERXvGG6mTf}-b~YiNAO$# zS6HOo{JIa_h8Rthp*c~B!6#L~`Zm)*p3wg6dA%H@+HP(qkMVxi!{0d#~n&VCUY zd&9XL@(o@3Sc|QcCd1vikOjuWKnX>es;X-7^fyAq?>?6r0UhG=7qG(Fg&7F4ibr0q zmos0=14wagBgt;0PmZ`af%C`UiYA)P3t^=mJGH)>xfCitwOKZ-p@_c?_8ZS7Hivu= zbHP#_8ajbylv3d#y`++2Ai#zP2oX^)|8}|yq(d0x#hK<}f?_>Yfz;U9hiLM^E1B?m zBT4o4Sk-;XL~CAUW$W`ZyJ&(pi@cmMm*XI+8qb(NfYJ==daIlP$XVB0=rWG(};+{eo>T+#!(6?gE=<+D;*4rCNq0HC(~^jrSsrDEZy zkPmBw;cZ>*e6z0Wc3AtC4O$!)1^PEixGa{asu8qiW0wdENeuc@|UH4-RNh@an`PpPN zd|JC3!N+eQIBq!N9~qwhBU;{v#@MZ0ARgN)7=hq>Y#|>#d}Cwbz5}RBzx?u&`@r>V zU4*IPzJ&k|p)!3No{Vr{5PFcA9x9zy_yF%>Ix5gE zykD8HZFAd#w0RQv7l)uHh`6d#SDt-ecdEdAUkg-_&*Q^JIq#ys)wXek`9Z)xsD4qb2!$l{S%6ZVlG`*W=j0&KmXrpBihe#iU!_UTRIIM{+U z1`-t9YC4*ln#fW4=hqB>{)~y*CxF5qHhp=F_B(c^lbYeaRb-U;aKB}|4^&2h;c=-M zLv7xt|9K!F;<$#sw5NA)(-vy7z&k2|SqDCzh2*azj*W61^zP0Ee)&qih zsPA0qb>3;D_pRJDiz8Zlne*X;iNRo*GZ=j+u<*F_&<5wYxlI!Mv0@bZUzvJ;i_ntD zyz&-sJnASro`Wx8kD5iuj^QG|U3Kgk8-Jd;*GAO(sgByvI-s0AcBm0`FQZr#2D#P3 zE3E+_mZPo#_;h%1Fr(fcbz5=Z7pSlr7+*fh8xO9W_)<5tZP&MNQ2#;bJTcs zwM=g$4haC_+_CFF_5>9V6O98nlYrp{5Rc;PKqP?M$3!hz5JO?-qz9{ak3 zhc_&dV#I^54TqbKQfJ1#f4~YzsPA18Oyi>*aCE?tCpfMt+KC*ToZZPY=xJcli5FZg zNi6EZnS0*EqK;S)%=N>E;j1faY8cHBQg&Raw8lByc4qtot_M7|z@r#t92!c^oMThP zsQP>YAZ5$RJp1}Dh(W$_pG7fepoSTBWK126GB-Ci#sxIN_*b!=^YigaIlMtUM#HWA zqj!G>K$yy81dY4rM)rEVX>Q&HwvF~FW5XOKJ~bURHH!B43OMzu`bR>UnicyIMm&=q z16pLz_v7W>>hD(Yzc8>Z`na*C{>iaalu{An<>EPXO^aGyLYngg!}2?5iJwCE9-Cb$1N%+lH?>lq|zo z@Aa^?t%r*-_D|rtAa{2RcqT2do*m_jQMznO9@`2h-eL_gXf3^*SJ|3<>y8TeFGe7ZtB$>KxJ|5mKZ z8flW$x#Wq?_us-aKKL2`l z8;x0k+a;D8$@Ub67nzKrz`cP(zNK*=tvd7Q8hQATl00p@eB|Pqo1K zkJ=yQrusZb*4D6Y)13TRiE{04OG$-ZCukeb3kzFh+hL|3kwfKv)zp5XXgc&Ud|_t2 z2NK2BoC-Yt+HJTpe{RlexK-NL!HwgTQa@x22~@Zq&1i@%wjWafhd zHb*l?t3Ha&lIGof5=j>@=gKm)e{u#Htp_qqq~K_DL+}gp)QVmViDKVpjge#qmn0-X zZ9jI}nxWC3743Kd@?OX~((V{gdDgyt`?ycmb0hDrx(gXD*E%_=S1<9VMivJ@IPRx6 z+e$W)Sea(ee)Imbs4niX>=LDm9WVXfJl-Ti`EFx9AH%w!LO&xbE3Xxm!Uqc@@5fBO zsC%@Z(|@gKmHOaI17io9q;IE^KHUCMdSQ=S;|Es{PnEl!$@RCzX77?eX+3#Unq091 z2D5Mk%Y| zuEJ5Wilg)|3qpFSE@~0`blY+CEdeZ<2=YQHOE$^z$dNA^2U}`N5!*-=9`*FxHTdq3 z-LYdaQBg?-={<7(E;7_dC`az9CJhV@g1UGr;KN2`8dOk^{=jH4biJWt6T#E?$cUw{ zP;^yro^Y#P!dfjtQ%uP}Iy%~%Q|j`zIZ9LyD;8po1^+;fG(h8COcO5jnlh}M&+jBl zJqsD2CZM$wu+u8Ts@d7uah(-tNRX~-5OM0^y6i4QB9UKLQ{JQZ8Ha!C$03Zf!;Wfb zn{_*N%Gt^3efPHCzRUUVEb%2H5GEjCk2AB6Z(T|4;_e>#fn8A0`TPC|YSLc0#Riqucq0)FrA3of3w5?W7*sa-~EJYM!=^$guPweh5u-bY}L& zzkU1mp3e5Olkg1QcjefwGH$cbUOOn0u$~eL2!K5$Vf5^w3^;Sjr-q^ESkDVg-{}1K zwYQh=nF<1>8im?V?w+1GAHuI*z1m96{kZ00?@DWMR6t#9+X2Q#mbVwzN79zd5a$CJ z{n+Zjfgp44(S4>Xnwpy%KG@!DD(CXM`x&qR#w1sWH#IdyMMXgZX`*~;%Hz5Emmt@b z_q+m>?3-!KEH^HZ9~swr%x59=ZT)fYHaYHb*aTo>-4iLVk+>$7nVA{vJ_>e_f>5ft z*{!v5K+d1PB$bDU=RrmW1^d+06i=bxzQPrvl%<-#>FVkxp3wK9(LRr+Iu1W6DJhH) zKIPkI6df-Q#e#-myJv?+bAaYbJveFu& zSSK7EnORv4c0|D%2=MW_czW{sO-xPEDq&xNk#hfp{{5HiicKqnlvEk-|0;8cBa2hn z)xtXKKHzo~{qV0-)b#S#+_-*y>RUB4KY#kQYcw7;pM1ejekvj<`P!u5WvO6EX6DW) zb%56@vrmlcHH9$BzB1sh@tT0>P+{3i22M@_S&ab~FDz_va&~56W##evIWtp}rC4v$ zqWwv8nVxC(aDKd|rY2^pueUdjncv`nu*$)Nmx3k85^0no)w|KFm@A150>GEs4><*T zD#nen>s;0gOG~!`wJ9wn%7@0cgee=EnpB=(WMl;{O>8lA^Ugqkk4ca%DJyPwq!Od3IF)yz@o zJGpAU()+eZgNZx$nB59GMkd$MJfY;KrFfpzgU0~hs>^n3u&)mVHR`jZL9`=6v{yxT zQ-o2Mw&m}S6JQ{e$;9R4OcU$7dU}YCTqJl9@c~AA`}S>+Nbf%bYuFA2k32oAFN|?H zIVYj8!eR-Fi@M3w z+p$~`jJu04)EE6>02ASAoSmJ~`-3fj!;ULK$ZnG76jPh@!^0^fq-89XsG>V>7bCXsOVVn;sV4E?P2i0e?PJcv8|nt59rqt z3jsIQ^@IvP-w-J9#ctH7Llh&Ja6l_+Yw^wJ?Cg5#>caGPO#b+RR#@Ou>7%tT{TQ9; zZLj79yjof~;$L2V0hP;OGknD-;kAEI%*n3o`GcD+oWHo@UH& IWcl0w0d@Q7qyPW_ -- GitLab From b20b80c9fd22189e7a071f465ae1924a6b3ddcd5 Mon Sep 17 00:00:00 2001 From: jpena Date: Thu, 14 Mar 2019 17:03:07 +0100 Subject: [PATCH 11/48] More edits 3 --- vignettes/RMSSSforNAOprediction.png | Bin 0 -> 85982 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 vignettes/RMSSSforNAOprediction.png diff --git a/vignettes/RMSSSforNAOprediction.png b/vignettes/RMSSSforNAOprediction.png new file mode 100644 index 0000000000000000000000000000000000000000..6e394b353f118262080045fb28c7423945405514 GIT binary patch literal 85982 zcmd?RgF$t}h7F1|(nv`v-6aj17HLr$0qJfj0g)0x1p(<6q(l*r zI&=HH&-cB*bN&8;bM|$i#AdP9z2-gVm}88&qBPVL@UU-SV_;z5Dc+UW#K5@1g@JL= z4sj8_bCSUI4gS08eAmDY0|UPs{c)k!smKxogAPMcURK*XV{^vKh@|)U)~@K|orsX= zpy+5pLeh_sm+j0uXO#sbZ^Ta6ZMOC3=RJ7eYht0u^_J-41f{3OO9C7^)%Q{x{ok*GzR@B6>%H<=vTXnRLpm`8^1}aq`B9btefj@+MdF8O{QEfuhKxG_3cV8l zdA6;L=)}bOyBON+xZNkmI~^1h6t2zF zJw3NMQa098@;*NCjJdS0(^Bbia`=Nt2M&-X;w0s|+}9gN>o)$zc($`M*o=HT@!q|A z(_y_&DCBsO($iZWbcS5PyK(E*EkXNR!UaH>$DhFV(9|-im1$ z;9yMZZ?KAQyLq#-w|lboVZCu?$+vg0l*;e1=hy>0b|*?oN*^*ri3tf8c6N4_m*E7KH#awTcBCDr zn`$2pKTA$dwzzin!i5V>Qf6jmUAmekaKz<DEuYMire5lg|w zC$fTb=yS3j&XW9Ek?_ru|3!8-?ZI9BTI<-5^n3VPTAyK6o=}Sm)6)mH?0v1bbBo!W zZq_nWh2I!5o){dAxz8mn9k~9fz~lQD4-XGK1me-hm$!$~gkqmOp`xN{ZEX$5r+)2w zupJU|(dxK#W-*P8jcuadPOnfcb9!b*RYir0n)>wgv`{r2R*Ba;v$(jJQ?J5)tV9P6 z0zbYXWczD>+;nHMwy>;B<)N~%;rY@HDX$#ExA7uV9eVUuQP@+>> zB*bR42X|rG!T;xw$TTw}1HWSm>I9h2<&T(A>8UgF~Il48z2afwO zdbF08;sqXlc+?`M^Kt+Cc>g7K5fQy9Ax&AH)QIr#ntI~~dx|W4GAg{m5RR3V!Bn@k z4-Q}JinTd}goQob+`f+%f37fY!N$SiG}D1UaJJpDb3??@-p0np+-qyrQTYssl}d{vC6ebLdFTrg@uKU)RL?;K^tV&C_X;Efq?;b>gHUBbn|iy8LzkQ zpnr5jZ7nAckFEi2vr)je5qc33kt|O2w#WPU)M8AjgM%%#uvFcg>mTzJd}44Qnw53W zdT9g8GPcgvMoaas1uEy=iT$K2@#fGt-hc~j5OkF{t_vFM+ z!he5bOhWHA&!tPDMMZ43EA_Txi#(#P%Xh>V5$ z9j4y3J+f_e4!?5r6(@oVibJMOVf6k6~CJo?J zllm<$dQydGlo&TT2OEWUS-s55Yo4+lEh6+%JW*jw9h5^NN6X|iG&D?1XiRDw2KM@f zhJ*wK^P}}5lv^^2ZZ%Zg*-#E&(BwXFiYt<5Mcyq zd}bkC%!8yTYy@Kd>|@~hsn^*62`MQajl}bV$3M^UsKx4vii(WHab$~1a6>elf$@$Kzr-4WONQ`m5kLiQ8!hDo13X}Y<&ZFgxC*!IQK zZ;Y=&_9{dQeC6iRfBg7$QWEj`>X&juy$TN+G55QZr$nVLOYfHRqN_9^d~fpen?H1z zZ8dn)u6IC}ytCHY);2RUv%kOJZv~(B3$dMaJIi(ajh?r|s8I`HWZ%R@lh4o9nHH~W z*x0Vl&N-_ep5MGwX=G^S^R}lap3%8@a6%nUd#EJO2AOczZYYrQ^va+&3y9B?N zP&*&O_z4qByXN_G^0SsCxcej|B$3q|%|wt2%?~{P(iY>YV;aX()YK@f~nv9n_vkcc5d#iiE764n{w+TxpFo( z#ee?K#UyEeuT-G9v7Z%0M}lNyVnP{3b)i3#l*}yYZ}UAM;ZeMj3yF(_hcQJdGb4j! zR)Ff3b51nL_+`=)S6A1K**4z?59lVVx+f+MvjflWxrJ4lcCeW4QIL~gzI^%D`savN z4hGaK)$~_B?9)QCU%!e83DvhAo0NxY{Q2_-JJn}@LnrhKULSAflM{9cmFC>J&xPuo zMnuxYJo;5Z8M7^3PJ26g_wT=Unv=4#vuh11E@pRBE-tT;_>d_c5p$P`$Rlk)&k!A{ z9i*tQbvDF?>aeR0cIJ})UDQ_)3}j?vCnB!y?zq>knN~fJJ=mVRHAez$dJ-zC z_p#SXXi;h6UOZlz2zmhlfh^sm>17N&N@1fG&#hQW5h7w@C)kpXGq0gUX$`*5k~BQc zjD7mlvryFfFN4%yi+8>`>3DG8v+S#m33iiN=obvA?#sS4-e+=yk(<< zsk|;I$3MT;S7!VXNcQk-4ukPZ)85*?b;#De*~KF}*Q8J0s8wne;#0W48AdJ78FHj> z*khv;VSKu{@9#3t!9BWAje&N3NTM5~#S7gLaDcf_pAv_zeQkDIgTrvX$ApxD)Lnu^ z>e_tr?PFf~{d#^8kq-Cu#DV)aag#DKBrM+HN=r*aVq;{?6Z6>kwLNpZyU;B${!}@Y z2aoDj)$N$;PoF+zVPSz>YBydnlOgH`!B|*!*UW4I_IAgg4bF!TAHpv~E%o{~Vg^?P zHDWrfm`>ZkVDc%oct}Wy{omL9M#nbu9_;-*Z-4-q2uw`Ob4Z|#a{-2>y4-Mp`}MYX z6#PuE!p4WE#|K)kRBT3af}^4o;iSJdI(0l8rm->&`(tVxHXclgQo4Kha5de@cD!OJ zpbhe1Ol<7R(f!fN*6;{O85HgKzcwe6(s0PA5_oQLd8p~^Z7VP&IM02gzU3S=Ew=w! zG5?a{o7*g`tPi2Q&(6+TTU%=u3vzL7LJbBO_Up6y;pj2IiY81{#^R=E+3T4SZiMmR>3+O@GHLkCZr2tZ9v(eLTPQX4~ zdXu)d%^;rZ0?z|%6@@}I0N{;{k@Bu?ZK*zki_7lPoNnBPOI|q32gvh2Lp15WrddmQ z$)!ac+YmYuDkh^b$mK~WC8k73;Hhb){D?5PJ@H0+utB}AQ=n?9t2@22rXO71rr4UF zmw76va3vS=p`2r6dPua{^Tox*`S}N~)o>v?VT&R6M9$gS*_Vy>B5GjYY?Sfw^2XVZ zxSt%lxH_t-eIP+vTfbr{(7#1nQD5)j^Yb;5K&g5z;5b%-YkRgW=3&C;2t3Mg>1+v~ zL?gN5-&>RGaKrQtRmdqQqF4id^pIhf-qY2!wzBGxLblxl^th`#iVwhU#Sj+2SaXO6sA^DR$l5iwXn3Tb6?lo)^(g~ zS8bnSH83=Uy`J!Rg0a+n@of~Gy9yfc_xE*nu4-#*gUuEZ(K}kKHP;bXspglP zlk;Hk8F!|*m$m7|$*Cz3hp+B%d84T(fA;M*sNmi7WZ$M5c|}t@&h!583kZ<$7)=x? zlU=)ZjhHwIHhCc2UdB65n&4#B*@e8YwJ1;=JJ<%0U#6Sg0GHWLROP0mq%=1-cXXWR z$cDar`Ld|aotRZk+na|D6@HD@gg)itGTl8EPR{RkU2wH4u1CBbCq(4recP3djR##} zIBu@46DxDAKExCh{q0)ruCCZuuNrg&wAJVlu6$L!Y1@T|?6<5LN*8IgpZxUh-Mi`O zR>dS1=oa2N$Oz8igq!s}liyTVx3%5yn)6>at|D@bWMOjOA(2rN9~Hr$n`q@?6HiGn?`I>y>`<10sLyqIj!=&1HKF$vkedD7#e zJf1X;yi3|aF9y52L#OL&YHD(F=u%ShFXF|~NWT2@*ty)aBZ~`3b8TSz>&LaFv>!Pa zWd=Ab92~a3eJipzoN93Ryj)tkE2bgKmbIqnh!wr3Ytr3~+e@&uwWX}2RMh-WxNDth zk#-cxA|U&sj7Y~u&3mFrz5j`J6-~`Vh@md#*x1-hmoEJXEEW&i+YaHk#7S077ry7# z{~_P7!M=Dxr!C<0hWbq*p%tk{bbxpVpP%jodOwztk&z3Din?l|B16Cdi{B`kEoh_Z z6Qf7GJp3Xzm;Qy24FunEqV1L3J`6iZ^aBF}eK`%m!LoPmT+v|yeDr?K?BT=SxpZ+6 zk?{{7@Odi>3kz4j(`NBu?N2m2ObOR?V}7Z&PzW=QGi`f(+e64oR9rksQZC`8_!+ca z5cUy<&rV~wjGE#lLIaLg$XqYb($Y>7FRu=zFLNmPDCRlG&Ebv ze}G%RBGdc_R_^7pc(dnqb%J|^sKwRQJNQO90R&3=R)V5;y)`<_KYsiOK{D@H0KF&x z+Ggj4i%0kvKY#pK$dX@~fjC8C=0fz7oXM7#m%|+^**zxQ?R{Bsh1aC@O@cdB2%(=X zTkWHd3`V+U56$*NHMGaA_o#76QC-S6C@2zcPQqVqoq!H788f#}|B5F66~S&kS}DKh z>TkGf>kN&m0PiivJ|({yl6HLf!=gra?L($kb60;7>(a_pyFGz73G--;+g*Vj21@9(lR-JG}k0($<0R&Gx(uehgAb+7vs zJSr_i#$4xyO-)Z~VZL+xBW`ZoG*I;ew8qrXZf;K27C(!H9k$Gg*ieZ46T1+HuhFvp z{d)_fdASJuSZeWSt#ZtlBm>WmSewssa&iEf@R+vyjTYToF6lc6hB`Pr9LGg^hUK-BDoH9gcbBO5)ha=g*8&cvp*BSt1M+6|d6xp{B^X%>j90@0R-f`P~YRn>X*7)pKsh5IHB9k*}6kwlgS0=Vv#PBiq^8IekH~ ze+}EdQcq3_&^-=3sZZa_`&jt0owIK*{{H?O z>gX+1S$RGrGWSTILKUAVV6>8a*s$ArD9u1$pDkTEHk09jNKesKQk3SiPYC+_%F1Et zK&=VdnARKbv!%0DZb!)Rb*bUe9F8T+GjzuG+=bn|>?-;Kp~#Vv_>mbZF0_S9=Vzw} zbKccUy>UzHP}g*>qahp}WqG6RSc%b$UOmL~Yme`Xv93-J0AMPdy}+lHDsv56Rvm>R z0z8CXnf}7}?{j_w#fbzjmk3Yqn(W&lu5uXSCOI*5b9(cTfsR!}~h4P}LS#E!=SD zn9bV!j%o&+vam6P9*tm}Yd|%>cQa?KRIhd_vEOppA}A$=bk_93e_-$Zx<`arzI)4x zH3zO80jGjTEq1QYjoTiRrUHB>^}5hB|43gqcQ31CeSLk||JqUepSA43cb|cf`r)2{ z&vb$81=cm1`0uzlINe^saIHCFjfumQ7d>U^;anP)nmo5|)XTtucc+2Z(K{^ZqbH%2 z4p8CAPEA#~a_pVh@rVX>L-MhpNobd4U=TL)Ca!?rp|iva?3OO&5@M7Xpt@$<;|~Tr zsYyS=0CJX)kly>Vl4`20n=V03;KY`cZ%u&h=I&l**vLbg!UrUXiO@Z#O#-Bl-52{$ z`B7bWuluwIo*X7Tk-E#2*zSMKbH9#_fguDtGRe3ZFoB$~UYg9FS_cw0qv>Vh~FY9DVvnJ0E zAf)bUFP=ryqoBXr7_Y2^Gpeqx?rOeOTw66mlEVOQsmZ?dr?LkTfgQ-P--ffkFWe$|489YUKHSPL#%LO z)XR5aR#LS5S4B=qb$vP`D7yJzReCT<@8B+k1vcs67LoMxun8FMLZlq7uS%4wIChN*I8l#0$hPk&5PIEMIQM#I%$SdIlNdG^- z?lss9g=$z9Av4Jm#|T6aDbN$oS}wiA+_;?E=T-}mau^ZXdI&@oJ~>~I(NEZWkbnJB zg9vVjxfh9vmj)1Qz>2=*jW|DAqb=zd5VgFp->p|`Jv1?)@7XKB&)<}b#osRTd;Lx} ztGAM>D)SVzudi=XN0&CPsc@62)_q)3WOgMmiQS4>jNxaD&E+u`?h zwTa@+P~5pVYH{5Ker*CJYUpA{x$#I*=8@S!+cPaoJo%=d3J9~4b@HAUfU0w3@K$?(U(b&L>D}PPdu8v4p>yIU~ z2M?T=-r?aXn~hf(cMq~{lDx#doSW?G;$qfI^D=%=CF9mTp46qYwnL1roBIF^_y@AD z8UQZ)ukU>xXe6K`Pcs_eaBXe`K>T6Gf(~^^aEwTFk-t7F`zZBe}wH)_C z%sR^N|WFA(S!^Sb3FnXdNN(dC!An}-&q_6lCTO2m=y*^_r(!KAew#ZF2} zYQ}kkS%@4c$=}nSfh3+aTVti{`BH_2@%VVY-8;pHuDDF}#m{doJMDSVgO>bz`&{kj z+M`18M-rUGnk2k*Q(1ne`{ShT95wYfkVVkJLV`hO)B~ACo0?o7f(@Y3z42h9lU7~H z?8QUg%luIhwfp+Z z4p6KmsOV_G4Ww(V`hk zyEB3LB1Qt200~))WlhTOunOx!M+r%**1(xqm+swm4SB@9Ngt@h{c{PBM&=DpWZBIA zwsKK_NO7)SrC(wn#WRe+r|zp6b)altCv8YKA4Op!6`6=OZUbFJPoeMP;n7ojnKoLR zU<2AbZ3DByD{;^PF4eOSe$ua?OD-&2GYvfL8QSm0LoOU+!zS`PN=zi0b}<9W5!Z!%E1~u6 zOJIz^r9ie_Wl49y<_tsA!I(D$ALY~}l3&i%o;PXlZw4f68EO4`Q(qdmBkv2pjYZA{ z=-I`^kAaxDUu&%j;JwM_cb{5=P9aweD`I7JHT)rat5;!`O7bbf<=Bx;PKvu|d3{~+ z*-&5K1T><+0;AOf;S$#DYyAn2`!bqN`j&!i@jCf%kJ7Yd2%`T)F&dLrr&8WB(w&eXC0mF zG9E8R`O~G8t}astb$NbRE_L!ddE|9#lN4aHt z%K`$!w;rWoy=O1}SrK%+vDoqjQOtqN{Q{|kqeRhv zC^X%IB!IM<=H%O-ul74~m5AB&?{+vJUtcJMeFV)1ZfkN~OG8~J{4@cU#f zt0)<(E}3q08LQM8G<7<8!)|4h1Oc1MUXn{p$s|C!FwD zqq9%<^rR?VLWsRMBWa)a7CbyW8{} z^MQDs>OQ@^!?#!*6gO@-PE=hu_X7EJ^in<&ooutyg&mZv?CB%w+r4&7{QM-&cvIdS z!lvhFynS6kDZuga5{tC%Z)N(_LEx%)1N%L{kc%c0u|qQkwc#8TLG3+JkZl(i&08_{ zXNz>p?`u0TqT=)NfE1$yeJ%)6=smKCrluyV!DnG8)WqbZ$NDELkP${{mAf++iCU30 zsyPMjNYMLw!cBmwu9pJyR*VI}gSr*LZWI9cXL z=M~N*el&i&HwRc4S~Je1{zEb#De=zUd%CgAv6Tu4^1Z68qy^Y%@$N||*0px;9}J9) zOB2-=kkc7L{ehn=2tO=i=ozzo^yuyxRs2?z{_Wehm$_ex#j!3o&o3-g+m3N$M1G#0 zJ^`4{vZM+CG%dM{iRh}-Cp5Hi3(gL?XHhBu?aG@sZ-7XiKd|S2!NtR)woon|KK#0_ zt}d0=bn#&q^ucU6DpiV_yMg|GennU65cI%-5;EQa`F#F&tc!~abSTg|-DfY|qcEgU zR#wiae7bSFhoN^ze&xwUHu=@|l)FsR{@P8=a2-!61i~}M$_#3+bKk#=g=MI(@4odl z#qi7f_rPvvpQ@}bAMX(T9*g1zlGOeH#kx3b-y2(E;6vlwxxhZ?)=B7G!hrg7uoE}+ zK3mky8rI#CphP`e>af-uD={c7JuPj|)Uxl#QWf?zW|X}7!-o+&cKvSk2i5vGCM zv>d=r^;&uI`6EkTeGlj(G_*kC7xVpXzvmy|?cD@khGyNt?%CP1y_G@WG*-@TV`F1~ z$N~XybCO-_RUK$%Vq$63HN>)$%0eC@`3PI;oYwOhlmUunKc=`6BdGmQp)S zIZztKseBg$xg)gOmMs(uK7rBVw_ER1>f)Qp)YQ~%t*yIswN7*GWBDXHA}94wL1br` zv^Kc3X9R6Ny@ife!4GILrC4+2AN%`4A|em7i7QOnqL+qs#d)A+SqD)F^7JL~Qi3tg^Qogko?{xxJemL1er8Y6is(N$X z$eHBXO7lG8mJT5j_&7e$m8Yb$C4GgZrO$Ud&aEE`Iebl?&iEU8$_1K!3WMz_%r|l6 zjHL}oTX4{{FWGB!@fn}76-6mN4OWWS^D10`q34P z1ZXDd|Hu8_JwoI+sPiXrnvfgvUhRsIPd7Tvg<#@LV10xJE~ysm32m1BL|MUOF)=ay zJWL3Bj#8I`>Z+WoaYyk&_!ud-6z#I(uDj{VA&D@|nY=K|0D zf3B+j78qt{O}N`9+=kX&@r7_BXbd*5)#?s#%n}R5&vip!G*yxaJA6e+LkMeyKF6Nl z+KLtT=fnL8s3GO{-p`-?-_H`6mHRR-HdS8@^ILzsJ1@JjZ}0A2*Tbrv`jtcZjh^1s zqW5nRxu6#$ojZ(`kbb(e(*M1t#xb9x6H~#=pvRZtm$ub-l;IFKK`Kl;Xc{TD$17=@ z^Y4P*la{p53_6n5RtAu^cUNqzbvAk8XCy4l&HD^^P1~84b~p?Z5c*@VmM^7q%}*hL zA71$Y-YqMH3h^>;YSHPLdtzxRr|1X9fc1eMKHNz%b!reBi`cR8@XEM_2HHJ;>-Kz{?>p+{PkCX-)2#IRN`_cc(!-}p&6z7*?VJKRJYVFJRJ zrB}MTx^~xKr98H$MTLc*Nt^+6gK7ZQs_;TVr`e3QCZMPJENfDxr>D`@0;j9c`>Q== z{R+U&49`yS*|TTMcT4S`%AA;no3W^8Z65T)nGmvu$jm;3UiJaNNNf@LSC`d*h}1d- zYX{upTj#|5)mAzz^QEPip?!J~A!B|HiPd1Q)N!(gd5W!Vk5j#!dDW+E5sNIt)z}%8 zS;ECny%$Z&x%;q&mxgFdhDg_~rd&fwY2fh3l9ha3Gl=h;TsqY)GG7(|0e9^P18D0D z_68pq$|(_m`8ct2r0Sazz=1Sp{mcDHE>Qgl~Vn5xBJ?18Fc;J1~sUuXVH?&Ag9QwWk?4G_=p$>_nqYf@xBHu zQD3ubvyp+=0#ucx(^QwcYSjEM><@Prnn*ET94`$^pXb*Y;b<8dNn|;%43G*xCjt{9 z=zUpPXP?!j69#K#-Bdl5=sP(r=Ul6ybtuwf`ODl7?Wcp=vc}GefY5?996}H;Qi3hq!<0-R#=r*C@lr!2p{71ekjlQ3_CLNgkJ~bpP+H@ zGm>%X=Qvk`69!xwi|02eDQnRdyO0D)^2DU1;$_q2cvH~oH-2HV^lC{3oZL$3UI5i` zIrAYfw?gb;XtCoUZ{-*{I&4-!+1FXpww%iq35D%{k* zrLP0b;el)^07!azdLW8mZ!P>Tl5kl>fwy9wf;!HOyu{xZ%mp3bQ~gdo*T^UI{4 znXxK3*xBiO&*Tsu;FSR90ca?6rkMu!?Vo2yASI^JLgI zCl-2kQerfdob(_$yt(0?)%EemUCZ!WM51D|z$N|7ecBD8d(<_+h^Vl1*EV$;03#0M z&~!(jw5aG2H0kLgPAq}825={J10Rl2QOEgKB~((4tmQ3bin@ho=)ifvTWV^d=8u5? zsHAK8NDUw78<-dHtWx6RN19xg9%si(rvb0YI!-}KI#yvUeqxG)gR{MF24v%@^b0|o z#DN_ppeN(h!616rn3Vz$!P6(5-zqx%KdjoVO1x4~l@6=8I5`>94|9hjp1!=(oA=I^ zL>Juzq!gJ}gEi2VM=1Xd7%BRj2j1lq|K%;F;tRo8=pFwBJWg7fJ{?D^l&xx=5e(;J zGP}T^`Bg%q)ejrgNKo4L4&>VCLwi~Jo2Nhi0QsGpyXS&9Rd-EeW3Ncjz@6SDYbJ8R zMGXW$R**MwWe*x_eI zwtyBO1Nhn4zCj4up8}3nopk~rBXRPwN|Ss$KA2$RV_rm;g(5v<(L2`XFRv6c$6Y;9 zf%K!`dZM;BVwoKGoQ9H8*~I7&0wuOA99+NMw5Z3&zsmL1+g+68 z@YHW~!6shC6aUla&zxLbZwt=Oj-57)FOVIDzSTaWOAe}3+oU5=zZ3zy={?iCKAe^P zW(S+hW4YwjC@+_%ok|Vn(z4aXJnMljNY zZ8K2#37lxLHA_cdUw<|iX;^QoQ*q&A4+06k0~b^NmZqk|qa*g#A-drMwAwLMUsp#3 z8x3;*!}re#uV24&rHoS8K61DcGEQyx<0@e8E%_<-Td0VLka(7ACd2U4q7UN$4cS~X zKYaKw=l64{&gS!-IGPzK&HzMQw?SkTnq<%FcsfrSjzYx?2?_|{;N#QqJ-|pQD1b)v z&@A2TIc&}(H*nlglaWQldH%zdDLxsAtC}gxpd%R^8XB6KN`GC*FDwidXyl}Cq2mT0 zQXP*5bOmoyKR-Vbo;+)U=m8=E8XC0^I^-yG@^IgToiF9-UA(B1o7@o5$Hivg?}Ly5 z9FbdN#fSpr3VMwZX>@9G^0e+0P*HuA2`X2ION?8D_su_nF_4=(maE5&@Ri9j9m@7g zS-+~m;BVfKRV3fR7V{Rz{%f7$LUld?+P^T>^17+X(#mSVV3{`5@8v63v-m((t6>yw zx5VRLk@nw8G!>0mWE6Byk4uhSY3vtqCInj^EQ5@XdnczXK z;l6KRfVN*5NeKuf*?xHoUDV6%e$TD1x35bCp0(E8%-!7DDmGPE?H~Y4i5{ybfi3I- z?eDB#z-j{!x|lb=HD!F4ubVLqR>+0(5*gLdpzBpB9g1*K=XngBX!|f(q9qw3qo1&) zwh2TX9FY_&(SfYf=i6L_v= z;DZ;c0pi(VL)K$TT)q^vY6Gp_JAdtWYji0r_8`$nr03DZPh7sE4^&K};|vLnfD!b9 zKoD_`e~2c8yR^FgxlqEuxR{lA!;dxla&m%F0ld#V6$ta(JE+L0D6@xnHv}Uy+Fh3J zxXN7&(SX)VN1zl8!UU5=<*nicduTxbY=gR@vq{kOjmg|GTSFWC?EcYb%~1iUEo zxrYMdCnrCLM^hO$;|ll@%!i}%!QIJ3QB16?5iLP!vTPd|uWmH6;UE`UXC?rmkOa_= zQf7k1#N!i9^{@SX$Ze(`(KyetvMOp)?!ZifPV^c>Ms~J(EYaW?g!+a)k#6+uc9wjk z{RthSfINjP$nUq7aOUgr4iE~ndVZ?(@jWr(fiJ#7RRE4wEAI{-F)=Y%MPQfk@>bHz zg>TNZh)7GD8c5dbJX5wJh@M%5y#vk0{Yn!_Nak{Ka;&U{kb9jbs)B8U20rnLy?GsY zeg-58rI0PC{bpd}Sy(`8{$R#rpEd{e_vGm3>B$Kf7Z>y&V6BF~uA{5Vk~#>cwCjHq zLA@*rL2m+B^HkG-^>5!EJ$m$Qaq$xz0&cz4!-sB-n&7rrIo;rB#Ru8tDl;gD(_j*V z`2?tg;o;%1^AR{WV6x;oAAf1RA|&y?@7XXUi^A0|H205=xu1J`efg{>s@&v+_)MKb zaqx9?l(V{rUORBz)S6-tQ8=ae*15694XLxugf;Ql;nwoCm>WwS8Un))GVtRXeQX0L5 za@7dH*arke&hP@=DCF?|^%GMM@ILzNI9gc930Z-B3~DoWM0GFNLu)~tE-8o;lSgZ| zZXg7OFp#KIe~Q<=I#n4R8v)5p|J7= zGdi$A(;nEII@;Q(sqf9NUzbd}hUsjf2az;_VJf7hMcnrk4+rP7r-w|v9R60L)!=mp zJq3{kuS>bPxnC=k#|o?oIA9yyxSWRPyu7lKAo2xZwvLau@|_0>FUK)(yCG<(#69g{ zSVl@p3MdQvx1W1^*QT60BwZFSH}+Pfy~Tm0M$h7agawALuV23cplxYsfpH2cQPE~F z!w@f^#o1^6;Ee#)2YkcaDM|nz!DsCFgcw|BE0!Gg3Nx+zB{{{g+AD=hCq3}>E44Kye zEgWqg+1MybdVqQGvA6g9%~fdli|)|{twQhPyfZF+b{I-ULKyQ zl?I#7EDm~D-;zg1M{Tm7PzYE9e+?nLS+=~qEam@a9+9lgfrpR(#YENPI?cncb8~11 z!PjzJ44tj28_tD=i*iaBrtyhwz8T_$ffMSDES)L7H2A@GC?pt1}3Lk zFaXS|#O7RKMu7at7zn0R9tqlwe68%QU%&;&_BpV~61?&)b zZJfdABfx_0q0q+;NR+ErL;>+Ai`PMSkQLmTWa2mOZbUz$$HNT@2d4flJ{1hO1wzw)!7KNFh9QeqVQ>oO z-oV$CQALZPfe9AZpr9ZCuyiP(b+PCzH12)+^a;uWNU+RA{V@3eW+3_p%>Q!)^bq08 z(2W0Y&RSADYPpz#GJ6gQ4(6jEA@^JIgNy<31BFG2iO4|@WV8RgWDeH72{r&P0mFR^ zUOl*Xe-^s2Y%9XT!XUk%zx#XZ`_fWg%8mb>MAgQE;n+H3tb48AKg_|E2R(mF+Tg*r zk4pfI-QC=X>vjJIIV^yk=*!%$|d0_Wr#}Lnw{O z9gdVNQMXsnvwSV$|DWFv;`!W3r>(2|EHzb6NeLU-H#6f8SQQ9!AT+g}pRr3xok9Bs z_x?#tj2vRD-0%Rd28NJsd|7}d5N7qpoSD%_(}>8;H3O~_h6o!tFA8FMp>MuS!N&pW zWc*ds*Vi7Ll)*P{InM)1KkOI*qrni&ZveduqkE<`mWr;fdqCcy$A-+PiHL|y+WkZ! z{IaZ|q7oqaU#N6DT(E+U0tl;R*X9P!m*`O#C1qs~-gsjVa!N`V_pxia{u;O4>>h~x za&p~3+$c@x%FD}pdJ138bq^Bzdp;ON1oxXmKXuZLI(3|e6F@8S8xRI$@GjGI1k4&U zO)eGyARYAN9~!s&HN!rIR_JR*q$39pPdf}jYG}lx-&s>z3mgUDMGiAVm_16VBGnMp zo|Q#UE9W2|t>7zRg=zrSK_b9gpfiLZQD#W^wJ`>X{WlC+5tiF#1A52yMTA5z!i|Qp zh^_nI`1SPk9(mDmfG0juCaSluuL!7uuN7fDwN+I`T7^#=?BM9yA91MC(8ykb!kS|}pAaYMmPNFN57)Ao*?Ln3OS`qRzNvQz+ zU#UUutA^5?K_((a5XI_@ag412%sM$$Zr#VgcoPV7r{f?*p>1LgdY3VB{K2MPU0WMU zr>z5Z1GGPPKo)z~En{wpi^piNWA5$k!Q5bTv(Jis#f^avAA|)2IQ2qrY4AY9z#u1=^*l9-_$0uE;1n_`v?>|9@uFqwzg^ad2_LlJ^I= z0O%;;T+u2XATe+%f=3HrIlQ9e69L$uk#B+vkbh8UA=fl)zJDPAsLVigAC;kD4r$gr zl&xeUhc~N;jx~9Lj`g3x`J8VL&|^N}k$^%9-A47t0?>;9BE)t?1_yV7>*e84nhrau zJOWPa+J8>+|9YZw2u0&EEzy6y08ELHLztPEU~}CP6WinEN>KudYH4W+u3_l+QYlqD zv6B6NeQ5vlIaE7%X}H%ilMK$xoPx?c3;i!3f-C@6fH^^#gGt$NGXV8v<>i1Eb|4hM z(U|gzO0&3*-@;@pzP7d&)&hOQ{<+ZP|JMb(5=0jOTe*gQ6>de3{O4V;B+37m<+1i^ zJx2lI0)N$E9GMD`|36uTOHz_rEGCLWNJwW&XT%D(JHMd72C_>T&|lDRKuEmaiQ#RJ z_j3h;T1Xk%3@6~afpIJ|ZfSsx4R(yw)Nz<`t2Aov;(Jm=dIc`LL;!)b!COWVQU2El z=|7)eOrc|EUk8Qo-8mera)1FSJSWHmP){0Q1Om2hoBwe`UEMEGyr4^rijD>+wgY(6 zX50Nat;=-)+)OpQJ%s&;o(_+VH8wWJ!n@%Py7Prn*fqdyn#jlm!D+$#LrV$ten}nL zFgp#ynxMDBVpCI5fgJ=!SojY=!UF(uL}zxM7QX80LY{Orz?Mp>y4`n`S@^#`IR5z@ zlj8!ZhZtzCfZ!k>CvykF?gGIYm>PN%81;ZN{=U9$*Cqww4W$E-3pJzOVG6Cp zKv!u#Zkh{K)O}|*(|!!C&SqpllW_*LMWuc<@|3aKPe{ zH$*Q0EH!u-yp{eL>eJR9h5iFFTi7-QI?}jvr9j;({uz~a8yNc?4zNGs2nf^y|BNE& z<^vsndKjh!aJzSTFJ%iI*+YA8Z*SzWk>{HY%K^ZqRL$RgM<89jaAQ=VS4x?Q2zula zE!vr50EhNgRyv|n09uhbf6U0yBmM|_3yUQ*eUDB^=H}+f+}SYNd*jByogA$PIk0BJoP)GajJjHT>dB{GKJ z0urlewFH(|5CkLPi~D1GrVw-XKUaqUu5Ff}%}YQ8I~GF-#Zd^nDk|!G|K1*&4oVS6 zc+7$#Ozk4s*x8Fg(E-kiw7wPt@fm{VsscPdL0p87k08+6AJle+gbYdF>-3|A>a;b< zVPUs5G)6#I+3kXrhQ9>BM&iSN33D8>)6%dipp>!Jv>qOZm=?k&$t# z&ZawH8|D#bqqDNI($lA4vrlAmW0Z&@kXJ<@77)x|DvZA`EOa)k@UXE(#>K4#eCX@* z{_~6doPXCKX&7!E*e7)grCuK#L6U_vE*0DV*ftE($o_*y5HfWw6d;H*lG z)OB^QA7{dyMyD|lF@a77f9f>I?zEDRmv?sJ2*6<93uoG|3DcJ&(jXD=O-X98tH(HXV1{} zu?CV6m=0|r9dZc^>#`(4ViYSaD*6Uq5H#)pfCijdz>59gQxvSRDT~GpeCt9{gDR#uag%VJMuVABi25aISTKygq2 zFVO#j=3@R#7Hs-(@`zl>J6Kp)TDRdg;KT4WY!%QFI=^+xq*kr9gobv*Ht^bseUG3)h0Twitsz80=?2->y8?hl0;9rTFK{@tBG{3a9Wbj+yfV|*r?GM+v zxwzo2aXvI0OM(IgrUi6)2Ly$>E3X57R|h@WR7IvlkfeY~OZ+Ner59X66;x87UIsxRk+2MD+!s=<;$0 z;NJ<5aL;upsC~h}jRe9<$>6aEOgNz6$rvWk35lWK*J^HdjNk6 zCeSyw2r$h1KYR!{5pAe-Xy(IBN=T@7UO=1QAa>E3gxPboOtE`0%`Gh=pxyBB;L{7j z??Pt)*nS^G1be{}o6oPn7=A(tI;?2m*$Eg-kVxc!p(2L+wadA6EWEtDKvqxHk61yv z-hHK}4Qpy;Wrf~k7PMD_?vjVoYsH3O!=nW@~R1B{+H8)oq;G<=K=uNMakl<1ZzyJ90CLJ9enAGkiCOgBP+YEma8!PVq zZ3L7$~5B7NBt5@&dzJ>8=#Eb=oI~J_LmHz_e{|(H4P(eC&P?NHs;H$AB z4!|yW*9U3WTsrdOZ9!Jnwa^=*Hs=*Em9I5cgp1tYno2$813Jxdt_@rP(h!@cPeL`C z))%3AfIX!nKcA_l58yVO!W_6&8dNDTbe=&k4?~KgVX>Um{fC4|uvrCULs)T{wx2*{ zV`gTCO#+z$u3{8>^5zf>=ECL!)0ydS6bx#ApKkt%=7QnzM8Nfj2|**+O&NlVf$@L< z_36fc;Yc*5{1;2U4Lx2&KL{pc_LVASLwy&NOqkA$DkLK%t)`vWyhn<5M>N>xl#~!S zGFEPKrxg@1AIn;uH$mdA?N5YUHwl#i(s}-?S1|8y47@O8XZZT9^5Q#H7y{pnfJ4Hh zGi(ePJ#B&SK!JzxPI1a}F?fa*R9o$B#0WKR-n{A9>iW9R=^u|8?jv|05g`(;7CY6; z-5sQRWnkR^LIE5B{H+xJ1ZKve>cbQ^+QTg_-U8XT>gp;VJc+{dks3x&8g89&@CGMr zD~1FaDkTZn%V2(mzE&L`OOu&N{WkY)Qd%0e3)>GclAWFUM#@DM0>FaWNDy(6ln0*X z0P|A+?zaM}Th8_hsLd0v^$P;~-V_BJv#Q~JleOEU(m)59XAh`d& zl)e`gAM)zvQW1_C6MA6x|D+vmbz(8tQl${eBA zKn4VJ9(1o^rREB~z=^@cYA0~upp3!35e8)#5+o>s3b$|1Krw<}gy&7c3)T!CGBXc^ z5R8095x~<22H>}T%%@{uc*rQTl?VUZ=Kk~l%aDKmmtg{5(u2y_R376*=PE)r)Ch!v z3nguX4?NHYT-%vw=>V1w*i`Wis&1H9elY3`50*$N?b=~+IhV!WzFEj8e;Xb}_5~U% z*zv0SnNBmW_aRJRKMbFdDMbIc^%!nNFCkkQq;v4}-bRpKzn&%Ke}Co61p-o$o1!#Y zU{3f6`v6ii2)qb9yi*u4TpiBtFzdczRf?|cH8tp|LjokAJ^%;bX4{UzZW(u z^Xx4ZsWQ4QFa|(T19ri?xbn_^P@RtETNbx)Um36Pw@teL$p-Q9@j!!9qclL%>3@4C zAI_=9VhtLBI6Nd&RoK43QEoukLZ8q?7|#!UlbQ5>oeUd|_%fug9Q1uS0n z|4{ZOU^%D%_xRJk@2gf7m7;~DeSH#%iYTO#P)*XN(oXv>iqN8xB5gwZLMlZRg_L#` z(ngEc-+7q%%*^*Q^Zow+uB+=BgJ*f)_x)PVIj?iCIKavYLJCNAbX`Te5}SZrgLz8X z3%8fqpnK7#^PX1ylSk1r2CBHr(S{thU^t+h`BG<(WRdotKPJEb_gd<1Mh8%BSZ(7{ zL*VQ0*0w`qgei{nf&$t29VndOWT6mx6s!OWE0NSUqnIZ@i@ru@hg2dp71iy#7ty1u zd{{+InSM`SsHYqCBcP?6GLRM!`f1UkIfbTps^BwrB4`dG?E}Zoi(TSV_$^2;eG)#% zwHjOe!<|*fc0}wI9?d(J)~Dcc0q3m{c{0-kz>RW)>UHI|LFD{A&qwczplCrx6 zSk*?==T=DI`|}ONFCoc5a9oWY^zlUu>h<0-WHr%gvVdHCB~W)a&{rK*;e*uX?08oKMtmI z^hrZ8`TW|}T`7l_Q9pcE$k?`d^WKxEaJmH*?2O^K1>-+NjH&Q50Gk}=bO9R3A8WXv zhjt%D2&)c`N`8L+7!h7^0RgMfox*S{6Iv+SccaJzcr$(4t;j}bl)TDQQ+r_ifiT?- zp))!-Z!k!ukNjbr2IYY4k@8?te>pQXWpdJrgjvW4GU}ji200J{S~4^gE5k3MfPW2~ z(5}K#;V-H4p%kzB+x5RgYo@9WQ<&6h*mQ|LZGefj2dhjyI-l5MAqsFWh_ZU>WLSY3Bf-q^8?cpfiFV5vGj$Qihw~ zlPjk`q5kuSNcHQ#OCjEY6%YdAC*V226MB=rgP8zjNh<;&VDla8M2Ny%aT0?sfKYGd zS3_lOWb_gX;t$y=uvA3bvG2fS@Z~(QLr@$5P=kvTeq}WS$w#qJ0_C2~Scn1i@yJ!5 zV0(jF3WWrgM%i^7uK~oP!vZy59t`)u>KryUF2s;g_a!zFQ#=hgU3#58YoZ4~3DCFI z3!ihrDWZys*Yy(#Ml2#(a%|31CD@>Ha)UqFRu>qxw6i^vMO%-p2t}u7$N?t8jccG% z9+!K3J=CQB;~CXImxuA#r-z|f%~co)3_(0N=BP~96Wl!x=SKvosE zVMD+dIypGFQbE@ph+si6lZraDJBfoTQKh6ay?`Wn~4m&+P0hU@Hrp zVMY8g7F{qqNqgr0SL zmqmgXjqg)LjSzCjDSErx_U)^2RjP4Oce+;zD_4(R(xY@YZfn2WZo$4K;P^EICv&I7 zTV*#lneFRx+wkl|dD+dkKGIkAZh4k}SSE4t+F^(B-%8KXGe;|(586nP+$*d0s?&Zui%^wOm3=}+cA{zEcw!MRJM>U;zOd>%S z*dON1+CLaFqxVenoo+&zjTL);;R5TyPPHA#v5_-N1L#k{qI}Lz+sqe(lZIb1k;C37 zGYhI_-~U!nbs*u=B2WYD(eoNU@ZjX~q)3U2d&z&gGQQw!q(OFte{n`r(31%ffaR0% zc5pbYw`m(I5Sj77X2zl&wdXVG|6a*XU+eZ#{VnE#=N$9t;AUm1mae0#TgGD~Ig{OZ zZ{O&exdFQRpI;zrFJ~5l*k{USj2GU{PUTbcBGJ(3X9!DEjl%eZ9u-GC3`Ip#i^2<_&|4fT0EYx5;!4CH^pUwN z@rHZ$_peSWuXuf;@`$(BQ-YU|4>}WU!C63?IAzs{6~MzG5sA(Y8mDcKm>Q`5nMl_LRs9GUx#6%pDe!h8;sEEi>#1zk}J|s~Tlzyn5 z0UYE+v9bs#P0kO-0jPQlRbq2X%U9$Ilv;RiMa)cGy!Z+!t??zxbdO9yLG^+IjE~T7 zzXP>^>YJn{R!<30Y}HXH8q-P z-z4`Sj9j@Mk?Eo1BA=k-Ai>F_yUC)|Sl#@-T^s7Kajzr249|faE_HD_#ouTuxl{^A|71yGjZch~xxR0Dvoh9Fctoi3PBHiqW?P zy)fbV=H~&HDU3yUkAcD7n(-q*p0Tc1x19V8wdkD34@N!(Ngx1g*WN(1B(%rY@K|~s zMG9a4!&73~UB!y-;|oLaOFrWq?J?ou;i4KASCi}hcEaGZcZ5J%B%r3gX^^*(3}FeV z^rM9}Ef*b$M4>xa*XCYjabp5$xLOFCsb;Rn2hb9fx1%2_=0H7Jwo+lm^Mtx*qPlR( zU^`=$W1Rl0T$R6Sh%ODQ*Wy{>E71Gp$Kv9Mx=c@vRQ$N}`UC|FP0>Skb~$6TDvcZN z*o_6VN2VBO6mb}2jpuI4(JBE(Ng@aVL;*719?jc7FSDZ;0NBNXTOS}{Uk{>iP>pzV zOYBJw(8ifSgb*iQs?S-Vmip3>JBN~_cV-h@DMKve;F*jgqM=be*~MmJ;!L|frsc$- zhg$mG1HWl$5h|MMO@zrGXQ>P%wVZg7{=|fH{e}$@Zjvt8;0_K_BgTlIEx^Er;+kJ- zERNw@KkWL7HMXquD!SZh`(w5XVwqBxw?;q*PeB^QHzFch^&UDKWKRxu_VzWeaR8Gm z_Fx}?kw@j{jI&1p2&kJz*jEmn=Zc{I5G8Z^&7%?tq~{Rx>p4jNiisV%Eb8t6CQ&qS zyXydq>Gl4ShX9W85Ls_nDImdXoO?sg1ZTcq!TGPN<-hMfteG@dmx^z=0ogyCcW5gCY5M-5y!RnuqSJ=h)lQS1SeWjV z><3OCym71xDyN%QmwQ)9EjczJi`rx@Iw|^^((-P)TG(=^p$GBoIZIO;u)5fbB#9=v z44DW-(cOF?gTcqW=AL#&UT(8yYJYE?l=*#)<|vY3937?ggdew^IV)JmYSH^gR1Es zY`i+P!*^7ZW^QGzNHva3<*kH*8>Q?9eAinb{SsFVNj;c{8Ct{64d0*J6oH_Bx+neQ zlA@uco(Vimk7u`TsrZnZoV-yr#23A)FPa)XCIxBHJ6dNfK%Mvn`I!9y(XpsQD{$^#s~E|F4DhE6iADeU`pE{{+HvND7F8h zp!Q2fY6{^P3C=Wu1T*ko0LIk-5RnGkl9J9>QzHRRR4%crzB*qe5L-`Je|q-dfaEOh9Mn??Lh)CIygA&6?A!iV#|o} zfMn#wgoG!`2}<}T7$$dv(^Gchro*!#JeC(y&WAru#4}|2GmIeE=^*IivtZfTOf)S1 z*FXLH^B6=G_SY40YP{5Nq8NJDCOpUkxm%$z@Ss;OHs9F2Q9Pm3@iI2#e-$sJ)f(DP zI?^a{Y+Tb3p$*0Np-&rITh7JL|7Bw0g)aKyNFInaFx4qCED}h7}`12CZB62l& z0ED;`Mdqak4JC^^H>#db-4J;(DM=D1tMltDCg3|akk01Q7^L|BWsl)?|K(51hzMLT zSwRzgEisz9An)b$m-T(T}+9aY3Qq(j(#P9=bMOMzXJ@W#>P$;nAbog#PY z-`qfo0p=S8bm%b2XTA9_m^k!SO9*L*fxDpnMT# z-69ELh|+LIvk{R_$N#&BMhJa4l$C>2DI7vVmL*O{^wieT>0eKongl&Hzf-Uyj_tojFFxy7G@Z4p;zbWB*^9E(U4Zd?V>RpdT|Z zh$N+Fe*WvJsWRB2xUj?dxkT)Hy7l3uRPf(SNI>MW<LIo_1vO_b zT#c}-s@3Zu5_Rwo|2c%j>%S}P4``Gy8VF(;(o26O1^1ZjH2-p!!BB*WLw*0cnsc7R zj4#q?2#xQ@uWl*we(;3od9=6_02I!Olqzk+W>DK`C6~WgtzHxi-ofy%No8n7z-LOu zgZMJFB-YA@iH`0b`v*M>i*CS~0Olm{QW^Q@?sYoe3u3kZ_b1$)c8s>8TK&We;>>4) z^NiHOoW4{36AL1-{NpB7txv~`J5k#qYncBm%t+D1d?O$eB$R)PGVxu_&5s|RDv9lS zpu2;XTZU-L>FQeOB6iE@q$Vd|TE`;RI5D4^>S{^;5ApwY?P{r?PwZ z++6d&grHUUD5Ex%78ehF*75{-NGX_IAIX|EGQ1mnjq#kO`uy7VD&UsqHCvaR+*U<=o{%;6W*Q19A+G_G({5#JOu5)&>~p(H$bs!<_DsD zYVj~*1aurq0p~K<(Xd8<2 z4#zX>|5&%hUsnPX55BXV=7RFOuSfOc@@W{UgO>A3gucF&h4krjY=Oh$$0}L3V#(xA zGAo{1klg6F4|;t7Gm;|eZ1L5j&a`LDA~U{!dHYiS9EtJA;0ZdFHNwIHXqCWf5_mQJ z(XxDmL&m97qQC0JzXOJxZ1!Rj5+{L?LT)898jKMX6hw2eR~E^s36b}tWyY1JCr+pk z+Q}`+omZA7zm4#usLT|g5z(sq8YC;?lY!Cgaq!?fPiF5Vl(8d1KaFO zHM1m}(NV&b(igo2nnGwTtI$L85q|~b|IxRLzG?s*1mMwfX-;{zFHg2FSX*n~4Qf{U zjfT5?$|ogALRkhro&Em_uutkE!W9l23N?n5-;4zbQxQs+%CybAjHup?IZ45{`RUUn zumo5th43dcVkEfae-uvfibz!iQ>t5BKQ_@bQnV^k5#;E;?A8)>ZhX0Z@1D#FbH`^P zJgphqG)B)ic~-qotF>JVAMUcHIZk$V*Qo(Lj52D!l@NWk*M5!8ZT=}C@6mMFLoeq` zU>6L6FIV?pnn!c`V9oEP+J7y>2HsK2p-U_oCiIWVlC0N6iZzfMb=xX}Rq z?DGTN%^e7IgWENB!H}t?+J+gp@Mg)MxUl;{Ntst{F+NlON!FfRv}$Ao<3OL58-zac z$>FbqZv%xgT+uy~XC0@7*^E8`;0#Ii_k|9P0Q9J2#+bZ4CEDo-!Lq`s@%<`)g&K19 z-&hy^uPu$I15=J>wi=_whWCfL$u)a4QmHr}R-6wHr%&$^X(!P}o)a2?MsO1dkmgZz zhEQ0$`uZ;6x{GnOgC+?uIB9Hbq_FFHs3d)MS1qZi;U;|qP{B8E-XsALf2;f(eFt(# z^~~s1QgK7Y)|T?VSHs*Y*^`M(hCt8>3<>mzdUQ(hFbF{mwQj8tV~bZR{~8QQHA#No zW7ghy4VtJT^y~;EE|nyx1xTACz$t>1X^tFZx~JIh{R2yY@G3nLYP>Bc{ba2xb6?Jh}3ih7+;0e+Qzewb(C)>GWVm%Po2+F3adgcR; z`CRnK8q%WB6LAXzTk46hZb%f=9zldBA(VS0|L8P#>^i6QS~U4`?4oBs8NqVLZxQPC z-CXx3)HKxNiU^FntGo{{*9j9g&UtI~Kz6LLFe;X9wk?<8CFuUucgNzCJ*fytAOM;6 zmAQUQt|n)T--Y4lBacen$CTIhJ2ON>QlA^BCUrtZd{}#ry zr}9I1cgScLtNvYD^|)&j)(yUut}i`rYt9PMsZBiDL`K-Db+Gmmd$4xxikhaMgy_W` zFLiS&=ouNGtIk2O)_^E|bKO6;ZLZrq<{fpVXG;C1=+jq5G%T*goRhVo3!G@J5mcn? z%g(4Q;%j|ZcKEXS!JTvKMawTarNxe{;KG|yMuQxZD`h=LWRyGcFUZ5w4`U6NZqrg5 zQxviEN56jiDK^Wm$XHz{y5N#=-TJBUa07~8=n42-(h2EsXnDSI_CSD?N>u%Td%ZYU z$iE)r)nc-*?Ll^TrTeq08?4VnpAi&!UBucK_c1&?GFUg~FcdSgy|-EfH<94MwqeVx zeShsbay9ZpC?V?TPcp(2MnkT?kJO#76dm3L#&{yx%L~Kl=0d!)1~5VXd@*+wNr+J{aP0JinYN zzcQY+=gp}aAB9&WYVtjL%zKfJb{>C z{Qzp~qUdNhz7h(hUYeUr>IqD~^niVQLGEoHHxh!|hCKx}qvYWOUD-U6Hzgx8?gFVP ztr3UTP2DUI^bhzd302j@>RZ&+mtPD5G=h+e$DcWFm#Z&e{^)2%(zhH$i+;UjSmW$> zPXXLHs2&s>=jP_ta-w)~sI7MjBpJr5?w6T?&J|p(xuCx|bje8Sz+FjIs#eXuOMFVZyc z5LfN`ovVJQ$qBfb?)d8F3nQ3LXkC$(JiS}O(&;X;1!(XMZw@!3#A&By>WCT1m^cINAS)Y};klz?@9#9Omkn;tm6Bn3 z6u8rz+PYtdsGn&j%VU`uzT>n~a5+$|u?UIO*6CQNG_2+9&NjXhM~}RAtroUEK({|h z3$z4{CTgx!iDag=9r`Y<4|q;TeysJ>3Lpg0WI}uKnxD-?+uTs*@2#QdTfZMeqT-h# z#MslN_TO0t^l1%aDCA%y*cJl=RCzq&qOXz$%e+n%wS`-dd3tS;lqAzKpkJ8P^LQAj z%F6bM+)Rgr3jhD^oD}z-%c2VK=>IBW%KL`L^_trXW#IjWn3{LRBT;uZj=c{t(yULC z&#y*HD}#C}Awv>e4`vh0d=j9O;TI6FK#>{2KLFU0IsM7b9XpH>3H|_Y{@yt?H8fsPN+7P-*s5i`!h+oF`Q(!6iOIjt>(z-cZ;|MlYAe@sKiYcsS1#ko-4q4eXs zlSC0e_=rYW z02exfVxU*)Z%)+r9RE&XoZnsV@%387)4q|Bxd#5z3a27>UoSk);Of>^A{#59ZI=^X zVd4)VDqK+`GdSIKFo*lddU9%N!zd-tsWJx6a08YP%;`|Te8cN6VVE%_84CgBCrNGv z*_a3XWuYdX`|X|RQ`FTV(*=Hy+QTg4mHvVq+1J@A_%D3Q4oRMz?Rr^->#T+got@mLZ9vvw6Zi!97;>RX~SwVvH(;lzT-gu!2E zd9sg7xr$VLa4PPkS0<^hChKWH_Ab5Y+D)paFc5?ZWP;bHtSiGWQVx5a+?}FwMq_ER z4&z7|>LT6WguQ|l5>j+bqE_zwCu$Q4RaB(#gzA2VI+5YfT95w6A>G{;G2bp!D__=r z;1F`YT5rF8mCRDrwqw*D<4>#t9-Yvg=n0P=>K!J&*vFX#7!^Q<*-jbUC_%bDM`AQOtrphEFZv`Q%uhzx$NBe0VlU*_ z$3X%M10R42tiy~?(b2qlbz%iun&D8KGni6j5Yi|7;3k_&d+wb1ecIjEMWq=Q=fosN z*7W`M)ye3lEch`9TA|RRO1Xf!*vpp>%pb}I*Z|HNj75EBok%-&1;HJ2DdxwusDt{k zfl(AzoXA!9$0zmi%NN{E^cL_E)JK@9S|%XJUqTbz^kV&M$P4HfFg}-wW#r#fccJ?D z$z#thA8tIvoK8?%kQ6tp4QC@DyKm9rEZqN^lBjYI?6!_Z1^Ruw0?vv(R1MekM6*8u zC4j*wVNbO3vqWi{wVO7z%v>G+M>1<#>hQxcxa`cIKXky5c<9F<%gvjFTEDq;k5hRQ z8t#&cj!1jPoD`FOe0=2H$-CTn5IoS*?5R}`;_V(IGXoAg^CL@r(*{T z@bmisju@ym@!Lft1_v5@KKd2B{?5()z+-Fc>VjL+VGq`fy-$jG3Uq1cJh$-`S(Ay1 zxy(of-qEyvu_)P*yEcM;Gm~u!jh+Ro)B)Wi2BUAG zDl3tlF7E;$0ozj}zlvJtv(C%me+UNt`FD$&dv;SEeqaKm(!d}`$vqY)+VScqa z0fN9|hTimm0AC3S`iK&W3)A&3x1z6?zd>(7W=fsB_`^f-0&N0C@(T5$=!N9uyKl;r ze3+!9@a>^OEVX__u4e)P#%4$dpws19aktIw!0%thp~rz(mpbSu^a$^VY=7UgzdHA1 zGzS>RfIcD<3kqy)diG6!Z|JKcj?a4_3P^6U9iU9x!Qa%R=`H;LSjl9ryC`01jD$a2=OnG>tk8vK+^*hb={lD~O4t;_g9H)8AHG3Fc8|`~(cT#cV%@;9@KBO2k9w zLsQv=b;MI;{%xY$cnCsXwfEdcWareZ1ogOJ9@F`0H6+c~_0#Qr;y3p2k^3BNb5i>h zwQ)p7@5RA#_uFH%ME58}Uc$2aZ+R>Y@&BRjZ$?~7Q(7H+G$DEFApfBu4x?2@-1~bH>7g7ENoZ$jCQ$)>5z!<;M`NAYQM~)ko06;iIuB0A0lnN2L(yl< z<69}PkIe9KxW~Iz`Yv02QBPLN@6^;}Oy?47-R^y3rOSRPl5ht?ZzLs%ItxIZdSJat zLn!!_m9-&~os-iv-=YkPnLuVWlfjRO?PR$Mj?@Yg9&+v+UKrTJ?a1 zyjlsmBeKT|XPgAPMR=FZr^1ZOYA+8|hwTtrW=Zen{#%9|g62_=$iCh-1qKOg2|J0} zrplqlU%Pg-OnD}{d^}v)!zInddpW(!qH>mRxS4tXx*wl8Q&^$!{643FZQb z>ye3@1pDUHhO|jU(O=We)YHr&j>vG^okoo>Qh?Y$Oyv8>oKm#F^!!?cHlgQH^zgfb z`~gkOXIKDmI^m9|mJ`xVdbr%uA4L?-qS90k_ADBhi``X2cMp)11PsDDT(%O|R{2jC z5Y1G51!Vc+7a8AF2Cc~}>Lh$*AKw>X7X7GnfH^%}jp2XtN_s+&2@uykoBg`Oh$hf` zrY}@_b9Vo7ik&|r(<|0@3{kT;Zp+g9x~8du@`Qm1F6`Sd8jQ$;P0zg&;)(Mevpv&| ztX)66k}BG5e0lw>P~naF2?Oo2`q8P=m44(i)76%A!~W)SyjEs)dW})S{b}DO9mJPB z2AlH0mAzrl7I)qEKPeZ^vn1I<{KoMzo|oy2o4M29t{$~gSz;MzYvWy2)<_V%BL^$0 z0L;0INHAhB2jwR;a>9U