From 203f6706c7024824c6f3e309459cd0364df1eb6a Mon Sep 17 00:00:00 2001 From: Moran79 Date: Mon, 16 Sep 2024 02:10:07 -0500 Subject: [PATCH] Major updates before release --- DESCRIPTION | 7 +- NAMESPACE | 15 - R/LDATree-package.R | 9 - R/Treee.R | 232 +++++----- R/archivedFuns.R | 166 ++++---- R/ldaGSVD.R | 365 ---------------- R/new_SingleTreee.R | 51 ++- R/new_TreeeNode.R | 92 ++-- R/plot.R | 206 ++++----- R/predict.R | 93 ++-- R/print.R | 11 +- R/prune.R | 153 ++++--- R/split.R | 45 +- R/utils.R | 489 ++-------------------- README.Rmd | 9 +- README.md | 31 +- man/Treee.Rd | 167 ++++---- man/figures/README-plot1-1.png | Bin 235526 -> 397067 bytes man/figures/README-plot2-1.png | Bin 38200 -> 97194 bytes man/figures/README-plot2-2.png | Bin 29556 -> 48105 bytes man/figures/lifecycle-archived.svg | 21 - man/figures/lifecycle-defunct.svg | 21 - man/figures/lifecycle-deprecated.svg | 21 - man/figures/lifecycle-experimental.svg | 21 - man/figures/lifecycle-maturing.svg | 21 - man/figures/lifecycle-questioning.svg | 21 - man/figures/lifecycle-soft-deprecated.svg | 21 - man/figures/lifecycle-stable.svg | 29 -- man/figures/lifecycle-superseded.svg | 21 - man/ldaGSVD.Rd | 62 --- man/plot.Treee.Rd | 69 ++- man/predict.Treee.Rd | 55 ++- man/predict.ldaGSVD.Rd | 60 --- tests/testthat/test-Treee.R | 8 +- tests/testthat/test-utils.R | 32 ++ vignettes/LDATree.Rmd | 58 +-- 36 files changed, 806 insertions(+), 1876 deletions(-) delete mode 100644 R/ldaGSVD.R delete mode 100644 man/figures/lifecycle-archived.svg delete mode 100644 man/figures/lifecycle-defunct.svg delete mode 100644 man/figures/lifecycle-deprecated.svg delete mode 100644 man/figures/lifecycle-experimental.svg delete mode 100644 man/figures/lifecycle-maturing.svg delete mode 100644 man/figures/lifecycle-questioning.svg delete mode 100644 man/figures/lifecycle-soft-deprecated.svg delete mode 100644 man/figures/lifecycle-stable.svg delete mode 100644 man/figures/lifecycle-superseded.svg delete mode 100644 man/ldaGSVD.Rd delete mode 100644 man/predict.ldaGSVD.Rd create mode 100644 tests/testthat/test-utils.R diff --git a/DESCRIPTION b/DESCRIPTION index c587213..6eef2bd 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: LDATree Title: Classification Trees with Linear Discriminant Analysis at Terminal Nodes -Version: 0.1.2 +Version: 0.1.2.9001 Authors@R: person("Siyu", "Wang", , "swang739@wisc.edu", role = c("cre", "aut", "cph"), comment = c(ORCID = "0009-0005-2098-7089")) @@ -13,11 +13,12 @@ License: MIT + file LICENSE URL: https://github.com/Moran79/LDATree, http://iamwangsiyu.com/LDATree/ BugReports: https://github.com/Moran79/LDATree/issues Imports: + folda, ggplot2, - lifecycle, + grDevices, magrittr, - scales, stats, + utils, visNetwork Encoding: UTF-8 LazyData: true diff --git a/NAMESPACE b/NAMESPACE index 3505cf0..75ad3e7 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,24 +1,9 @@ # Generated by roxygen2: do not edit by hand -S3method(plot,SingleTreee) S3method(plot,Treee) -S3method(predict,SingleTreee) S3method(predict,Treee) -S3method(predict,ldaGSVD) -S3method(print,Treee) S3method(print,TreeeNode) -S3method(print,ldaGSVD) S3method(summary,TreeeNode) export(Treee) -export(ldaGSVD) -importFrom(lifecycle,deprecated) importFrom(magrittr,"%>%") -importFrom(stats,.getXlevels) -importFrom(stats,delete.response) -importFrom(stats,model.frame) -importFrom(stats,model.matrix) -importFrom(stats,model.matrix.lm) importFrom(stats,predict) -importFrom(stats,quantile) -importFrom(stats,sd) -importFrom(stats,terms) diff --git a/R/LDATree-package.R b/R/LDATree-package.R index 9576403..2cfbe57 100644 --- a/R/LDATree-package.R +++ b/R/LDATree-package.R @@ -2,16 +2,7 @@ "_PACKAGE" ## usethis namespace: start -#' @importFrom lifecycle deprecated #' @importFrom magrittr %>% -#' @importFrom stats .getXlevels -#' @importFrom stats delete.response -#' @importFrom stats model.frame -#' @importFrom stats model.matrix -#' @importFrom stats model.matrix.lm #' @importFrom stats predict -#' @importFrom stats quantile -#' @importFrom stats sd -#' @importFrom stats terms ## usethis namespace: end NULL diff --git a/R/Treee.R b/R/Treee.R index 4732ecb..5d79e48 100644 --- a/R/Treee.R +++ b/R/Treee.R @@ -1,105 +1,119 @@ -#' Classification trees with Linear Discriminant Analysis terminal nodes +#' Classification Trees with Uncorrelated Linear Discriminant Analysis Terminal +#' Nodes #' -#' @description `r lifecycle::badge('experimental')` Fit an LDATree model. +#' This function fits a classification tree where each node has a Uncorrelated +#' Linear Discriminant Analysis (ULDA) model. It can also handle missing values +#' and perform downsampling. The resulting tree can be pruned either through +#' pre-pruning or post-pruning methods. #' -#' @details +#' @param datX A data frame of predictor variables. +#' @param response A vector of response values corresponding to `datX`. +#' @param ldaType A character string specifying the type of LDA to use. Options +#' are `"forward"` for forward ULDA or `"all"` for full ULDA. Default is +#' `"forward"`. +#' @param nodeModel A character string specifying the type of model used in each +#' node. Options are `"ULDA"` for Uncorrelated LDA, or `"mode"` for predicting +#' based on the most frequent class. Default is `"ULDA"`. +#' @param pruneMethod A character string specifying the pruning method. `"pre"` +#' performs pre-pruning based on p-value thresholds, and `"post"` performs +#' cross-validation-based post-pruning. Default is `"pre"`. +#' @param numberOfPruning An integer specifying the number of folds for +#' cross-validation during post-pruning. Default is `10`. +#' @param maxTreeLevel An integer controlling the maximum depth of the tree. +#' Increasing this value allows for deeper trees with more nodes. Default is +#' `20`. +#' @param minNodeSize An integer controlling the minimum number of samples +#' required in a node. Setting a higher value may lead to earlier stopping and +#' smaller trees. If not specified, it defaults to one plus the number of +#' response classes. +#' @param pThreshold A numeric value used as a threshold for pre-pruning based +#' on p-values. Lower values result in more conservative trees. If not +#' specified, defaults to `0.01` for pre-pruning and `0.51` for post-pruning. +#' @param prior A numeric vector of prior probabilities for each class. If +#' `NULL`, the prior is automatically calculated from the data. +#' @param misClassCost A square matrix \eqn{C}, where each element \eqn{C_{ij}} +#' represents the cost of classifying an observation into class \eqn{i} given +#' that it truly belongs to class \eqn{j}. If `NULL`, a default matrix with +#' equal misclassification costs for all class pairs is used. Default is +#' `NULL`. +#' @param missingMethod A character string specifying how missing values should +#' be handled. Options include `'mean'`, `'median'`, `'meanFlag'`, +#' `'medianFlag'` for numerical variables, and `'mode'`, `'modeFlag'`, +#' `'newLevel'` for factor variables. `'Flag'` options indicate whether a +#' missing flag is added, while `'newLevel'` replaces missing values with a +#' new factor level. +#' @param kSample An integer specifying the number of samples to use for +#' downsampling during tree construction. Set to `-1` to disable downsampling. +#' @param verbose A logical value. If `TRUE`, progress messages and detailed +#' output are printed during tree construction and pruning. Default is +#' `FALSE`. #' -#' Unlike other classification trees, LDATree integrates LDA throughout the -#' entire tree-growing process. Here is a breakdown of its distinctive features: -#' * The tree searches for the best binary split based on sample quantiles of the first linear discriminant score. +#' @returns An object of class `Treee` containing the fitted tree, which is a +#' list of nodes, each an object of class `TreeeNode`. Each `TreeeNode` +#' contains: +#' * `currentIndex`: The node index in the tree. +#' * `currentLevel`: The depth of the current node in the tree. +#' * `idxRow`, `idxCol`: Row and column indices indicating which part of the original data was used for this node. +#' * `currentLoss`: The training error for this node. +#' * `accuracy`: The training accuracy for this node. +#' * `stopInfo`: Information on why the node stopped growing. +#' * `proportions`: The observed frequency of each class in this node. +#' * `prior`: The (adjusted) class prior probabilities used for ULDA or mode prediction. +#' * `misClassCost`: The misclassification cost matrix used in this node. +#' * `parent`: The index of the parent node. +#' * `children`: A vector of indices of this node’s direct children. +#' * `splitFun`: The splitting function used for this node. +#' * `nodeModel`: Indicates the model fitted at the node (`'ULDA'` or `'mode'`). +#' * `nodePredict`: The fitted model at the node, either a ULDA object or the plurality class. +#' * `alpha`: The p-value from a two-sample t-test used to evaluate the strength of the split. +#' * `childrenTerminal`: A vector of indices representing the terminal nodes that are descendants of this node. +#' * `childrenTerminalLoss`: The total training error accumulated from all nodes listed in `childrenTerminal`. #' -#' * An LDA/GSVD model is fitted for each terminal node (For more details, refer to [ldaGSVD()]). -#' -#' * Missing values can be imputed using the mean, median, or mode, with optional missing flags available. -#' -#' * By default, the tree employs a direct-stopping rule. However, cross-validation using the alpha-pruning from CART is also provided. -#' -#' @param formula an object of class [formula], which has the form `class ~ x1 + -#' x2 + ...` -#' @param data a data frame that contains both predictors and the response. -#' Missing values are allowed in predictors but not in the response. -#' @param missingMethod Missing value solutions for numerical variables and -#' factor variables. `'mean'`, `'median'`, `'meanFlag'`, `'medianFlag'` are -#' available for numerical variables. `'mode'`, `'modeFlag'`, `'newLevel'` are -#' available for factor variables. The word `'Flag'` in the methods indicates -#' whether a missing flag is added or not. The `'newLevel'` method means that -#' all missing values are replaced with a new level rather than imputing them -#' to another existing value. -#' @param maxTreeLevel controls the largest tree size possible for either a -#' direct-stopping tree or a CV-pruned tree. Adding one extra level (depth) -#' introduces an additional layer of nodes at the bottom of the current tree. -#' e.g., when the maximum level is 1 (or 2), the maximum tree size is 3 (or -#' 7). -#' @param minNodeSize controls the minimum node size. Think carefully before -#' changing this value. Setting a large number might result in early stopping -#' and reduced accuracy. By default, it's set to one plus the number of -#' classes in the response variable. -#' @param verbose a logical. If TRUE, the function provides additional -#' diagnostic messages or detailed output about its progress or internal -#' workings. Default is FALSE, where the function runs silently without -#' additional output. -#' -#' @returns An object of class `Treee` containing the following components: -#' * `formula`: the formula passed to the [Treee()] -#' * `treee`: a list of all the tree nodes, and each node is an object of class `TreeeNode`. -#' * `missingMethod`: the missingMethod passed to the [Treee()] -#' -#' An object of class `TreeeNode` containing the following components: -#' * `currentIndex`: the node index of the current node -#' * `currentLevel`: the level of the current node in the tree -#' * `idxRow`, `idxCol`: the row and column indices showing which portion of data is used in the current node -#' * `currentLoss`: ? -#' * `accuracy`: the training accuracy of the current node -#' * `stopFlag`: ? -#' * `proportions`: shows the observed frequency for each class -#' * `parent`: the node index of its parent -#' * `children`: the node indices of its direct children (not including its children's children) -#' * `misReference`: a data frame, serves as the reference for missing value imputation -#' * `splitFun`: ? -#' * `nodeModel`: one of `'mode'` or `'LDA'`. It shows the type of predictive model fitted in the current node -#' * `nodePredict`: the fitted predictive model in the current node. It is an object of class `ldaGSVD` if LDA is fitted. If `nodeModel = 'mode'`, then it is a vector of length one, showing the plurality class. #' @export #' +#' @references Wang, S. (2024). A New Forward Discriminant Analysis Framework +#' Based On Pillai's Trace and ULDA. \emph{arXiv preprint arXiv:2409.03136}. +#' Available at \url{https://arxiv.org/abs/2409.03136}. +#' #' @examples -#' fit <- Treee(Species~., data = iris) +#' fit <- Treee(datX = iris[, -5], response = iris[, 5], verbose = FALSE) #' # Use cross-validation to prune the tree -#' fitCV <- Treee(Species~., data = iris) -#' # prediction -#' predict(fit,iris) -#' # plot the overall tree -#' plot(fit) -#' # plot a certain node -#' plot(fit, iris, node = 1) +#' fitCV <- Treee(datX = iris[, -5], response = iris[, 5], pruneMethod = "post", verbose = FALSE) +#' head(predict(fit, iris)) # prediction +#' plot(fit) # plot the overall tree +#' plot(fit, datX = iris[, -5], response = iris[, 5], node = 1) # plot a certain node Treee <- function(datX, response, - ldaType = c("step", "all"), - nodeModel = c("LDA", "mode"), - missingMethod = c("medianFlag", "newLevel"), - prior = NULL, - misClassCost = NULL, - pruneMethod = c("post", "pre", "pre-post"), - numberOfPruning = 10, + ldaType = c("forward", "all"), + nodeModel = c("ULDA", "mode"), + pruneMethod = c("pre", "post"), + numberOfPruning = 10L, maxTreeLevel = 20L, minNodeSize = NULL, - pThreshold = 0.1, - verbose = TRUE, - kSample = 1e7){ + pThreshold = NULL, + prior = NULL, + misClassCost = NULL, + missingMethod = c("medianFlag", "newLevel"), + kSample = -1, + verbose = TRUE){ # Change verbose to FALSE before CRAN submission # Standardize the Arguments ----------------------------------------------- - response <- as.factor(response) # make it a factor - ldaType <- match.arg(ldaType, c("step", "all")) - nodeModel <- match.arg(nodeModel, c("LDA", "mode")) - missingMethod <- c(match.arg(missingMethod[1], c("mean", "median", "meanFlag", "medianFlag")), - match.arg(missingMethod[2], c("mode", "modeFlag", "newLevel"))) - prior <- checkPriorAndMisClassCost(prior = prior, misClassCost = misClassCost, response = response, internal = TRUE) - pruneMethod <- match.arg(pruneMethod, c("post", "pre", "pre-post")) - if(is.null(minNodeSize)) minNodeSize <- nlevels(response) + 1 # minNodeSize: If not specified, set to J+1 - - #> Does not support ordered factors - for(i in seq_along(datX)){ - if("ordered" %in% class(datX[,i])) class(datX[,i]) <- "factor" + datX <- data.frame(datX) # change to data.frame, remove the potential tibble attribute + for(i in seq_along(datX)){ # remove ordered factors + if(inherits(datX[,i], c("ordered"))) class(datX[,i]) <- "factor" } + # Remove NAs in the response + idxNonNA <- which(!is.na(response)); response <- droplevels(factor(response[idxNonNA], ordered = FALSE)) + datX <- datX[idxNonNA, , drop = FALSE] + + ldaType <- match.arg(ldaType, c("forward", "all")) + nodeModel <- match.arg(nodeModel, c("ULDA", "mode")) + pruneMethod <- match.arg(pruneMethod, c("pre", "post")) + if(is.null(minNodeSize)) minNodeSize <- nlevels(response) + 1 # minNodeSize: If not specified, set to J+1 + if(is.null(pThreshold)) pThreshold <- ifelse(pruneMethod == "pre", 0.01, 0.51) + priorAndMisClassCost <- updatePriorAndMisClassCost(prior = prior, misClassCost = misClassCost, response = response, insideNode = FALSE) + prior <- priorAndMisClassCost$prior; misClassCost <- priorAndMisClassCost$misClassCost # Build Different Trees --------------------------------------------------- @@ -107,51 +121,39 @@ Treee <- function(datX, response = response, ldaType = ldaType, nodeModel = nodeModel, - missingMethod = missingMethod, - prior = prior, maxTreeLevel = maxTreeLevel, minNodeSize = minNodeSize, - pThreshold = ifelse(pruneMethod == "pre", pThreshold, 0.51), - verbose = verbose, - kSample = kSample) - - if(pruneMethod == "pre-post"){ - #> Step Ahead and prune back, 0.51 as a looser bound - #> Discard due to unnecessary - treeeNow <- updateAlphaInTree(treeeNow) - treeeNow <- pruneTreee(treeeNow, pThreshold) - treeeNow <- dropNodes(treeeNow) - } + pThreshold = pThreshold, + prior = prior, + misClassCost = misClassCost, + missingMethod = missingMethod, + kSample = kSample, + verbose = verbose) if(verbose) cat(paste('\nThe pre-pruned LDA tree is completed. It has', length(treeeNow), 'nodes.\n')) - finalTreee <- structure(list(treee = treeeNow, - missingMethod = missingMethod), class = "Treee") - - # Pruning ----------------------------------------------------------------- if(pruneMethod == "post" & length(treeeNow) > 1){ pruningOutput <- prune(oldTreee = treeeNow, - numberOfPruning = numberOfPruning, datX = datX, response = response, ldaType = ldaType, nodeModel = nodeModel, - missingMethod = missingMethod, - prior = prior, + numberOfPruning = numberOfPruning, maxTreeLevel = maxTreeLevel, minNodeSize = minNodeSize, - pThreshold = 0.51, - verbose = verbose, - kSample = kSample) - - # Add something to the finalTreee - finalTreee$treee <- pruningOutput$treeeNew - finalTreee$CV_Table <- pruningOutput$CV_Table + pThreshold = pThreshold, + prior = prior, + misClassCost = misClassCost, + missingMethod = missingMethod, + kSample = kSample, + verbose = verbose) - if(verbose) cat(paste('\nThe post-pruned tree is completed. It has', length(finalTreee$treee), 'nodes.\n')) + treeeNow <- pruningOutput$treeeNew + attr(treeeNow, "CV_Table") <- pruningOutput$CV_Table + if(verbose) cat(paste('\nThe post-pruned tree is completed. It has', length(treeeNow), 'nodes.\n')) } - return(finalTreee) + return(treeeNow) } diff --git a/R/archivedFuns.R b/R/archivedFuns.R index bc93301..63cdb19 100644 --- a/R/archivedFuns.R +++ b/R/archivedFuns.R @@ -1,42 +1,3 @@ - -# Check for input prior --------------------------------------------------- - -checkPrior <- function(prior, response){ - ## Modified from randomForest.default Line 114 - if (is.null(prior)) { - prior <- table(response) / length(response) # Default: Estimated Prior - } else { - if (length(prior) != nlevels(response)) - stop("length of prior not equal to number of classes") - if (!is.null(names(prior))){ - prior <- prior[findTargetIndex(names(prior), levels(response))] - } - if (any(prior < 0)) stop("prior must be non-negative") - } - return(prior / sum(prior)) -} - - -# Check for input misclassification cost --------------------------------------------------- - -checkMisClassCost <- function(misClassCost, response){ - if (is.null(misClassCost)) { - misClassCost <- (1 - diag(nlevels(response))) # Default: 1-identity - colnames(misClassCost) <- rownames(misClassCost) <- levels(response) - } else { - if (dim(misClassCost)[1] != dim(misClassCost)[2] | dim(misClassCost)[1] != nlevels(response)) - stop("misclassification costs matrix has wrong dimension") - if(!all.equal(colnames(misClassCost), rownames(misClassCost))) - stop("misClassCost: colnames should be the same as rownames") - if (!is.null(colnames(misClassCost))){ - misClassCost <- misClassCost[findTargetIndex(colnames(misClassCost), levels(response)), - findTargetIndex(colnames(misClassCost), levels(response))] - } - } - return(misClassCost) -} - - # constant In Group fix --------------------------------------------------------- fixConstantGroup <- function(data, response, tol = 1e-8){ @@ -230,6 +191,22 @@ dropNodes <- function(treeeList){ return(treeeList) } +# Get tree depth ---------------------------------------------------------- + +getDepth <- function(treee){ + if(class(treee) == "Treee") treee = treee$treee + depthAll <- numeric(length(treee)) + updateList <- seq_along(treee)[-1] + if(length(updateList) != 0){ + for(i in updateList){ + currentNode <- treee[[i]] + depthAll[i] <- depthAll[currentNode$parent] + 1 + } + } + return(depthAll) +} + + # New Pruning (previous prune.R) --------------------------------------------------- #> Usage @@ -266,12 +243,6 @@ makeAlphaMono <- function(treeeList, - - - - - - # Splitting --------------------------------------------------------------- ### Sum of Pillai's trace ### @@ -622,45 +593,6 @@ getSplitFunRandom <- function(datX, response, modelLDA){ } - - - -# fixNewLevel ------------------------------------------------------------- - - -fixNewLevel <- function(datTest, datTrain){ - #> change the shape of test data to the training data - #> and make sure that the dimension of the data is the same as missingRefernce - - nameVarIdx <- match(colnames(datTrain), colnames(datTest)) - if(anyNA(nameVarIdx)){ - #> New columns fix (or Flags): If there are less columns than it should be, - #> add columns with NA - datTest[,colnames(datTrain)[which(is.na(nameVarIdx))]] <- NA - nameVarIdx <- match(colnames(datTrain), colnames(datTest)) - } - datTest <- datTest[,nameVarIdx, drop = FALSE] - #> The columns are the same, now fix new levels - - #> change all characters to factors - idxC <- which(sapply(datTrain, class) == "character") - if(length(idxC) != 0){ - for(i in idxC){ - datTrain[,i] <- as.factor(datTrain[,i]) - } - } - - #> New levels fix - levelReference <- sapply(datTrain, levels, simplify = FALSE) - for(i in which(!sapply(levelReference,is.null))){ - # sapply would lose factor property but left character, why? - datTest[,i] <- factor(datTest[,i], levels = levelReference[[i]]) - } - - return(datTest) -} - - # Get x and response from formula and data -------------------------------- extractXnResponse <- function(formula, data){ @@ -863,5 +795,71 @@ predict.ForestTreee <- function(object, newdata, type = "response", ...){ } +# Variable Selection ------------------------------------------------------ + +getChiSqStat <- function(datX, y){ + sapply(datX, function(x) getChiSqStatHelper(x, y)) +} + +getChiSqStatHelper <- function(x,y){ + if(getNumFlag(x)){ # numerical variable: first change to factor + m = mean(x,na.rm = T); s = sd(x,na.rm = T) + if(sum(!is.na(x)) >= 30 * nlevels(y)){ + splitNow = c(m - s *sqrt(3)/2, m, m + s *sqrt(3)/2) + }else splitNow = c(m - s *sqrt(3)/3, m + s *sqrt(3)/3) + + if(length(unique(splitNow)) == 1) return(0) # No possible split + x = cut(x, breaks = c(-Inf, splitNow, Inf), right = TRUE) + } + if(anyNA(x)){ + levels(x) = c(levels(x), 'newLevel') + x[is.na(x)] <- 'newLevel' + } + if(length(unique(x)) == 1) return(0) # No possible split + + fit <- suppressWarnings(chisq.test(x, y)) + + #> Change to 1-df wilson_hilferty chi-squared stat unless + #> the original df = 1 and p-value is larger than 10^(-16) + ans = unname(ifelse(fit$parameter > 1L, ifelse(fit$p.value > 10^(-16), + qchisq(1-fit$p.value, df = 1), + wilson_hilferty(fit$statistic,fit$parameter)), fit$statistic)) + return(ans) +} + +wilson_hilferty = function(chi, df){ # change df = K to df = 1 + ans = max(0, (7/9 + sqrt(df) * ( (chi / df) ^ (1/3) - 1 + 2 / (9 * df) ))^3) + return(ans) +} + + +# svd helper --------------------------------------------------------------- + + +saferSVD <- function(x, ...){ + #> Target for error code 1 from Lapack routine 'dgesdd' non-convergence error + #> Current solution: Round the design matrix to make approximations, + #> hopefully this will solve the problem + #> + #> The code is a little lengthy, since the variable assignment in tryCatch is tricky + parList <- list(svdObject = NULL, + svdSuccess = FALSE, + errorDigits = 16, + x = x) + while (!parList$svdSuccess) { + parList <- tryCatch({ + parList$svdObject <- svd(parList$x, ...) + parList$svdSuccess <- TRUE + parList + }, error = function(e) { + if (grepl("error code 1 from Lapack routine 'dgesdd'", e$message)) { + parList$x <- round(x, digits = parList$errorDigits) + parList$errorDigits <- parList$errorDigits - 1 + return(parList) + } else stop(e) + }) + } + return(parList$svdObject) +} diff --git a/R/ldaGSVD.R b/R/ldaGSVD.R deleted file mode 100644 index 8cdb699..0000000 --- a/R/ldaGSVD.R +++ /dev/null @@ -1,365 +0,0 @@ -#' Linear Discriminant Analysis using the Generalized Singular Value -#' Decomposition -#' -#' @description `r lifecycle::badge('experimental')` Fit an LDA/GSVD model. -#' -#' @details -#' -#' Traditional Fisher's Linear Discriminant Analysis (LDA) ceases to work when -#' the within-class scatter matrix is singular. The Generalized Singular Value -#' Decomposition (GSVD) is used to address this issue. GSVD simultaneously -#' diagonalizes both the within-class and between-class scatter matrices without -#' the need to invert a singular matrix. This method is believed to be more -#' accurate than PCA-LDA (as in `MASS::lda`) because it also considers the -#' information in the between-class scatter matrix. -#' -#' @param data a data frame that contains both predictors and the response. -#' Missing values are NOT allowed. -#' @param method default to be all -#' -#' @returns An object of class `ldaGSVD` containing the following components: -#' * `scaling`: a matrix which transforms the training data to LD scores, normalized so that the within-group scatter matrix is proportional to the identity matrix. -#' * `formula`: the formula passed to the [ldaGSVD()] -#' * `terms`: a object of class `terms` derived using the input `formula` and the training data -#' * `prior`: a `table` of the estimated prior probabilities. -#' * `groupMeans`: a matrix that records the group means of the training data on the transformed LD scores. -#' * `xlevels`: a list records the levels of the factor predictors, derived using the input `formula` and the training data -#' -#' @export -#' -#' @references Ye, J., Janardan, R., Park, C. H., & Park, H. (2004). \emph{An -#' optimization criterion for generalized discriminant analysis on -#' undersampled problems}. IEEE Transactions on Pattern Analysis and Machine -#' Intelligence -#' -#' Howland, P., Jeon, M., & Park, H. (2003). \emph{Structure preserving dimension -#' reduction for clustered text data based on the generalized singular value -#' decomposition}. SIAM Journal on Matrix Analysis and Applications -#' -#' @examples -#' fit <- ldaGSVD(Species~., data = iris) -#' # prediction -#' predict(fit,iris) -ldaGSVD <- function(datX, - response, - method = c("all", "step"), - fixNA = TRUE, - missingMethod = c("medianFlag", "newLevel"), - prior = NULL, - misClassCost = NULL, - insideTree = FALSE){ - - - # Pre-processing: Arguments and response ---------------------------------- - - method <- match.arg(method, c("all", "step")) - missingMethod <- c(match.arg(missingMethod[1], c("mean", "median", "meanFlag", "medianFlag")), - match.arg(missingMethod[2], c("mode", "modeFlag", "newLevel"))) - stopifnot(!anyNA(response)) # No NAs in the response variable - response <- droplevels(as.factor(response)) # some levels are branched out - - #> Get the prior - if(insideTree){ - prior <- getFinalPrior(prior = prior, response = response) - }else prior <- checkPriorAndMisClassCost(prior = prior, misClassCost = misClassCost, response = response, internal = FALSE) - - - # Pre-processing: Variables ----------------------------------------------- - - #> Variable Selection Step: for stepwise LDA only - if(method == "step"){ - chiStat <- getChiSqStat(datX = datX, y = response) - idxKeep <- which(chiStat >= qchisq(1 - 0.05/length(chiStat), 1)) # Bonferroni - if(length(idxKeep) == 0) idxKeep <- seq_len(length(chiStat)) - datX <- datX[, idxKeep, drop = FALSE] - } - - if(fixNA){ - imputedSummary <- missingFix(data = datX, missingMethod = missingMethod) - if(anyNA(datX)) datX <- imputedSummary$data - } - - modelFrame <- model.frame(formula = ~.-1, datX, na.action = "na.fail") - Terms <- terms(modelFrame) - m <- scale(model.matrix(Terms, modelFrame)) # constant cols would be changed to NaN in this step - cnames <- colnames(m) - currentVarList <- as.vector(which(apply(m, 2, function(x) !any(is.nan(x))))) # remove constant columns and intercept - - - if(length(currentVarList) == 0) stop("All variables are constant.") - - if(method == "step"){ - #> Output: currentVarList, which contains indices of the selected variables - #> RESPECTIVELY in the design matrix, some columns of m might be removed - - stepRes <- stepVarSelByF(m = m, response = response, currentCandidates = currentVarList) - - #> When no variable is selected, use the full model - #> it might be more time-consuming, but it is better for future LDA split - - if(length(stepRes$currentVarList) != 0){ - currentVarList <- stepRes$currentVarList - - #> modify the design matrix to make it more compact - #> so that only the selected variables are included in the design matrix, - #> and eventually make the prediction faster - selectedVarRawIdx <- unique(sort(attributes(m)$assign[currentVarList])) # MUST be from the modelFrame where the factors are not dummied - modelFrame <- model.frame(formula = ~.-1, datX[, selectedVarRawIdx, drop = FALSE], na.action = "na.fail") - Terms <- terms(modelFrame) - m <- scale(model.matrix(Terms, modelFrame)) - - #> select CERTAIN levels of the factor variables, not ALL - currentVarList <- which(colnames(m) %in% stepRes$stepInfo$var) - } - } - - varSD <- attr(m,"scaled:scale")[currentVarList] - varCenter <- attr(m,"scaled:center")[currentVarList] - m <- m[,currentVarList, drop = FALSE] - - # Step 1: SVD on the combined matrix H - groupMeans <- tapply(c(m), list(rep(response, dim(m)[2]), col(m)), function(x) mean(x, na.rm = TRUE)) - Hb <- sqrt(tabulate(response)) * groupMeans # grandMean = 0 if scaled - - Hw <- m - groupMeans[response, , drop = FALSE] - # if(diff(dim(m)) < 0){ # More rows than columns - # qrRes <- qrEigen(Hw) - # fitSVD <- svdEigen(rbind(Hb, qrRes$R)) - # }else fitSVD <- svdEigen(rbind(Hb, Hw)) - - fitSVD <- saferSVD(rbind(Hb, m - groupMeans[response, , drop = FALSE])) - rankT <- sum(fitSVD$d >= max(dim(fitSVD$u),dim(fitSVD$v)) * .Machine$double.eps * fitSVD$d[1]) - - # Step 2: SVD on the P matrix - #> The code below can be changed to saferSVD if necessary - fitSVDp <- saferSVD(fitSVD$u[seq_len(nlevels(response)), seq_len(rankT), drop = FALSE], nu = 0L) - # fitSVDp <- svdEigen(fitSVD$u[seq_len(nlevels(response)), seq_len(rankT), drop = FALSE]) - rankAll <- min(nlevels(response)-1, rankT) # This is not optimal, but rank(Hb) takes time - - # Fix the variance part - unitSD <- diag(sqrt((length(response) - nlevels(response)) / abs(1 - fitSVDp$d^2 + 1e-15)), nrow = rankAll) # Scale to unit var - scalingFinal <- (fitSVD$v[,seq_len(rankT), drop = FALSE] %*% diag(1 / fitSVD$d[seq_len(rankT)], nrow = rankT) %*% fitSVDp$v[,seq_len(rankAll), drop = FALSE]) %*% unitSD - rownames(scalingFinal) <- cnames[currentVarList] - - groupMeans <- groupMeans %*% scalingFinal - rownames(groupMeans) <- levels(response) - colnames(groupMeans) <- colnames(scalingFinal) <- paste("LD", seq_len(ncol(groupMeans)), sep = "") - - # Get the test statistics and related p-value - statPillai <- sum(fitSVDp$d[seq_len(rankAll)]^2) - #> s & p are changed here, since sometimes design matrix is not of full rank p - p <- rankT; J <- nlevels(response); N <- nrow(m) - s <- rankAll; numF <- N-J-p+s; denF <- abs(p-J+1)+s - - #> When numF is non-positive, Pillai = s & training accuracy = 100% - #> since there always exist a dimension where we can separate every class perfectly - # pValue <- pf(numF / denF * statPillai / (s - statPillai), df1 = s*denF, df2 = s*numF, lower.tail = F) # the same answer - pValue <- ifelse(numF > 0, pbeta(1 - statPillai / s, shape1 = numF * s / 2, shape2 = denF * s / 2), 0) - if(method == "step") pValue <- pValue * length(cnames) # Bonferroni correction - - res <- list(scaling = scalingFinal, terms = Terms, prior = prior, - groupMeans = groupMeans, xlevels = .getXlevels(Terms, modelFrame), - varIdx = currentVarList, varSD = varSD, varCenter = varCenter, statPillai = statPillai, - pValue = pValue) - if(fixNA) res$misReference <- imputedSummary$ref - if(method == "step"){ - res$stepInfo = stepRes$stepInfo - res$stopFlag <- stepRes$stopFlag - } - class(res) <- "ldaGSVD" - - # for LDA splitting - currentP <- unname(table(predict(res, datX)) / dim(datX)[1]) - res$predGini <- 1 - sum(currentP^2) - return(res) -} - - - -#' Predictions from a fitted ldaGSVD object -#' -#' Prediction of test data using a fitted ldaGSVD object -#' -#' Unlike the original paper, which uses the k-nearest neighbor (k-NN) as the -#' classifier, we use a faster and more straightforward likelihood-based method. -#' One limitation of the traditional likelihood-based method for LDA is that it -#' ceases to work when there are Linear Discriminant (LD) directions with zero -#' variance in the within-class scatter matrix. However, when using LDA/GSVD, -#' all chosen LD directions possess non-zero variance in the between-class -#' scatter matrix. This implies that LD directions with zero variance in the -#' within-class scatter matrix will yield the highest Fisher's ratio. Therefore, -#' to get these directions higher weights, we manually adjust the zero variance -#' to `1e-15` for computational reasons. -#' -#' @param object a fitted model object of class `ldaGSVD`, which is assumed to -#' be the result of the [ldaGSVD()] function. -#' @param newdata data frame containing the values at which predictions are -#' required. Missing values are NOT allowed. -#' @param type character string denoting the type of predicted value returned. -#' The default is to return the predicted class (`type` = 'response'). The -#' predicted posterior probabilities for each class will be returned if `type` -#' = 'prob'. -#' @param ... further arguments passed to or from other methods. -#' -#' @return The function returns different values based on the `type`, if -#' * `type = 'response'`: vector of predicted responses. -#' * `type = 'prob'`: a data frame of the posterior probabilities. Each class takes a column. -#' @export -#' -#' @references Ye, J., Janardan, R., Park, C. H., & Park, H. (2004). \emph{An -#' optimization criterion for generalized discriminant analysis on -#' undersampled problems}. IEEE Transactions on Pattern Analysis and Machine -#' Intelligence -#' -#' Howland, P., Jeon, M., & Park, H. (2003). \emph{Structure preserving dimension -#' reduction for clustered text data based on the generalized singular value -#' decomposition}. SIAM Journal on Matrix Analysis and Applications -#' -#' @examples -#' fit <- ldaGSVD(Species~., data = iris) -#' predict(fit,iris) -#' # output prosterior probabilities -#' predict(fit,iris,type = "prob") -predict.ldaGSVD <- function(object, newdata, type = c("response", "prob"), ...){ - type <- match.arg(type, c("response", "prob")) - # add one extra check for levels of the predictors - LDscores <- getLDscores(modelLDA = object, data = newdata) - loglikelihood <- LDscores %*% t(object$groupMeans) + matrix(log(object$prior) - 0.5 * rowSums(object$groupMeans^2), nrow(LDscores), length(object$prior), byrow = TRUE) - # Computation Optimization 2: Prevent a very large likelihood due to exponential - likelihood <- exp(loglikelihood - apply(loglikelihood, 1, max)) - posterior <- likelihood / apply(likelihood, 1, sum) - if(type == "prob") return(posterior) - return(rownames(object$groupMeans)[max.col(posterior, ties.method = "first")]) -} - - -#' @export -print.ldaGSVD <- function(x, ...){ - cat("\nObserved proportions of groups:\n") - print(x$prior) - cat("\n\nGroup means of LD scores:\n") - print(x$groupMeans) - cat("\n\nScaling (coefficients) of LD scores:\n") - print(x$scaling) - invisible(x) -} - - -# helper functions -------------------------------------------------------- - -getPillai <- function(Sw, St){ - #> return -1 if the St is not full rank - #> sometimes diag has negative value due to instability of R - #> We ignore those for now - tryCatch({ - sum(diag(solve(St, St - Sw))) - }, error = function(e) {-1}) -} - -selectVar <- function(currentVar, newVar, Sw, St, direction = "forward"){ - #> return the column index - #> return 0 if all var makes St = 0 - if(direction == "forward"){ - lambdaAll <- sapply(newVar, function(i) getPillai(Sw[c(i,currentVar),c(i,currentVar), drop = FALSE], St[c(i,currentVar),c(i,currentVar), drop = FALSE])) - }else{ - lambdaAll <- sapply(currentVar, function(i) getPillai(Sw[setdiff(currentVar, i),setdiff(currentVar, i), drop = FALSE], St[setdiff(currentVar, i),setdiff(currentVar, i), drop = FALSE])) - } - maxVarIdx <- which(lambdaAll == max(lambdaAll)) # all variables that achieve maximum - currentVarIdx <- maxVarIdx[1] - - return(list(stopflag = (lambdaAll[currentVarIdx] == -1), - varIdx = newVar[currentVarIdx], - statistics = lambdaAll[currentVarIdx], - maxVarIdx = newVar[maxVarIdx])) -} - - -stepVarSelByF <- function(m, response, currentCandidates){ - idxOriginal <- currentCandidates - m <- m[,currentCandidates, drop = FALSE] # all columns should be useful - - groupMeans <- tapply(c(m), list(rep(response, dim(m)[2]), col(m)), function(x) mean(x, na.rm = TRUE)) - mW <- m - groupMeans[response, , drop = FALSE] - - # Initialize - n = nrow(m); g = nlevels(response); p = 0; currentVarList = c() - previousPillai <- previousDiff <- previousDiffDiff <- numeric(ncol(m)+1); - previousDiff[1] <- Inf; diffChecker <- 0 - kRes <- 1; currentCandidates <- seq_len(ncol(m)) - Sw <- St <- matrix(NA, nrow = ncol(m), ncol = ncol(m)) - diag(Sw) <- apply(mW^2,2,sum); diag(St) <- apply(m^2,2,sum) - stopFlag <- 0 - - # Empirical: Calculate the threshold for pillaiToEnter - pillaiThreshold <- 1 / (1 + (n-g) / (abs(g-2)+1) / qf(1 - 0.1 / (ncol(m)+1), abs(g-2)+1, n-g)) / currentCandidates^(0.25) - - stepInfo <- data.frame(var = character(2*ncol(m)), - pillaiToEnter = 0, - threhold = pillaiThreshold, - pillaiToRemove = 0, - pillai = 0) - - #> If n <= g, which means there are too few observations, - #> we output all columns, and leave that problem to outside function - if(anyNA(pillaiThreshold)){ - currentVarList <- currentCandidates; currentCandidates <- c() - stepInfo$var[seq_along(currentVarList)] <- colnames(m)[currentVarList] - stopFlag <- 4 - } - - # Stepwise selection starts! - while(length(currentCandidates) != 0){ - - nCandidates <- length(currentCandidates) - p = p + 1 - selectVarInfo <- selectVar(currentVar = currentVarList, - newVar = currentCandidates, - Sw = Sw, - St = St) - bestVar <- selectVarInfo$varIdx - if(selectVarInfo$stopflag){ # If St = 0, stop. [Might never happens, since there are other variables to choose] - stopFlag <- 1 - break - } - - # get the difference in Pillai's trace - previousDiff[p+1] <- selectVarInfo$statistics - previousPillai[p] - previousDiffDiff[p+1] <- previousDiff[p+1] - previousDiff[p] - diffChecker <- ifelse(abs(previousDiffDiff[p+1]) < 0.001, diffChecker + 1, 0) - - if(previousDiff[p+1] > 10 * previousDiff[p]){ # Correlated variable(s) is included - currentCandidates <- setdiff(currentCandidates, selectVarInfo$maxVarIdx) - p <- p - 1; next - } - - # Check the stopping rule - if(previousDiff[p+1] < pillaiThreshold[p]){ # If no significant variable selected, stop - stopFlag <- 2 - break - } - if(diffChecker == 10){ # converge - stopFlag <- 3 - break - } - - # Add the variable into the model - previousPillai[p+1] <- selectVarInfo$statistics - currentVarList <- c(currentVarList, bestVar) - currentCandidates <- setdiff(currentCandidates, bestVar) - stepInfo$var[kRes] <- colnames(m)[bestVar] - stepInfo$pillaiToEnter[kRes] <- previousDiff[p+1] - stepInfo$pillai[kRes] <- previousPillai[p+1] - kRes <- kRes + 1 - - # Update the Sw and St on the new added column - Sw[currentCandidates, bestVar] <- Sw[bestVar, currentCandidates] <- as.vector(t(mW[, currentCandidates, drop = FALSE]) %*% mW[,bestVar, drop = FALSE]) - St[currentCandidates, bestVar] <- St[bestVar, currentCandidates] <- as.vector(t(m[, currentCandidates, drop = FALSE]) %*% m[,bestVar, drop = FALSE]) - } - - # Remove the empty rows in the stepInfo if stepLDA does not select all variables - stepInfo <- stepInfo[seq_along(currentVarList),] - - return(list(currentVarList = idxOriginal[currentVarList], stepInfo = stepInfo, stopFlag = stopFlag)) -} - - diff --git a/R/new_SingleTreee.R b/R/new_SingleTreee.R index c2e4526..ccd914c 100644 --- a/R/new_SingleTreee.R +++ b/R/new_SingleTreee.R @@ -1,16 +1,25 @@ +#' Create a New Decision Tree +#' +#' This function builds a new decision tree based on input data and a variety of +#' parameters, including LDA type, node model, and thresholds for splitting. The +#' tree is grown recursively by splitting nodes, and child nodes are added until +#' a stopping condition is met. +#' +#' @noRd new_SingleTreee <- function(datX, response, ldaType, nodeModel, - missingMethod, - prior, maxTreeLevel, minNodeSize, pThreshold, - verbose, - kSample){ + prior, + misClassCost, + missingMethod, + kSample, + verbose){ - treeeList = structure(list(), class = "SingleTreee") # save the tree + treeeList = structure(list(), class = "Treee") # save the tree ### Initialize the first Node ### @@ -21,19 +30,21 @@ new_SingleTreee <- function(datX, idxRow = seq_len(nrow(datX)), ldaType = ldaType, nodeModel = nodeModel, - missingMethod = missingMethod, - prior = prior, maxTreeLevel = maxTreeLevel, minNodeSize = minNodeSize, + prior = prior, + misClassCost = misClassCost, + missingMethod = missingMethod, + kSample = kSample, currentLevel = 0, - parentIndex = 0, - kSample = kSample) + parentIndex = 0) + while(length(nodeStack) != 0){ currentIdx <- nodeStack[1]; nodeStack <- nodeStack[-1] # pop the first element if(verbose) cat("The current index is:", currentIdx, "\n") - if(treeeList[[currentIdx]]$stopFlag == 0){ # if it has (potential) child nodes + if(treeeList[[currentIdx]]$stopInfo == "Normal"){ # if it has (potential) child nodes trainIndex <- attr(treeeList[[currentIdx]]$splitFun, "splitRes") # distribute the training set @@ -46,31 +57,31 @@ new_SingleTreee <- function(datX, idxRow = treeeList[[currentIdx]]$idxRow[trainIndex[[i]]], ldaType = ldaType, nodeModel = nodeModel, - missingMethod = missingMethod, - prior = prior, maxTreeLevel = maxTreeLevel, minNodeSize = minNodeSize, + prior = prior, + misClassCost = misClassCost, + missingMethod = missingMethod, + kSample = kSample, currentLevel = treeeList[[currentIdx]]$currentLevel + 1, - parentIndex = currentIdx, - kSample = kSample)) + parentIndex = currentIdx)) + ### Stopping check ### - ### Stopping & pruning ### #> 1. update the p-value for loss drop lossBefore <- treeeList[[currentIdx]]$currentLoss - lossAfter <- do.call(sum,lapply(childNodes, function(node) node$currentLoss)) + lossAfter <- do.call(sum, lapply(childNodes, function(node) node$currentLoss)) treeeList[[currentIdx]]$alpha <- getOneSidedPvalue(N = length(treeeList[[currentIdx]]$idxRow), lossBefore = lossBefore, lossAfter = lossAfter) #> 2. pre-stopping if(treeeList[[currentIdx]]$alpha >= pThreshold){ - treeeList[[currentIdx]]$stopFlag = 6 + treeeList[[currentIdx]]$stopInfo = "Split is not significant" next } - ### Put child nodes in the tree ### - + #> 3. Put child nodes in the tree childIdx <- seq_along(childNodes) + length(treeeList) treeeList[[currentIdx]]$children <- childIdx nodeStack <- c(nodeStack, childIdx) @@ -79,6 +90,6 @@ new_SingleTreee <- function(datX, } for(i in seq_along(treeeList)) treeeList[[i]]$currentIndex <- i # assign the currentIndex - + treeeList <- updateAlphaInTree(treeeList) return(treeeList) } diff --git a/R/new_TreeeNode.R b/R/new_TreeeNode.R index 2c8e628..4b35931 100644 --- a/R/new_TreeeNode.R +++ b/R/new_TreeeNode.R @@ -1,107 +1,97 @@ +#' Create a New Tree Node in the Decision Tree +#' +#' This function creates a new node for the decision tree by fitting a model +#' (such as ULDA or a mode model) based on the data at the current node. It +#' checks for stopping conditions, fits the model, and generates splits if +#' necessary. +#' +#' @noRd new_TreeeNode <- function(datX, response, idxCol, idxRow, ldaType, nodeModel, - missingMethod, - prior, maxTreeLevel, minNodeSize, + prior, + misClassCost, + missingMethod, + kSample, currentLevel, - parentIndex, - kSample) { - + parentIndex) { # Data Cleaning ----------------------------------------------------------- #> Remove empty levels due to partition xCurrent <- droplevels(datX[idxRow, idxCol, drop = FALSE]) responseCurrent <- droplevels(response[idxRow]) - - #> Fix the missing values - imputedSummary <- missingFix(data = xCurrent, missingMethod = missingMethod) - xCurrent <- imputedSummary$data - - #> NOTICE: The missingRef should not be subset after constant check, since there - #> are cases when the original X are constant after imputation, but its flag is important - idxCurrColKeep <- constantColCheck(data = xCurrent) - xCurrent <- xCurrent[, idxCurrColKeep, drop = FALSE] - + priorAndMisClassCost <- updatePriorAndMisClassCost(prior = prior, misClassCost = misClassCost, response = responseCurrent, insideNode = TRUE) + prior <- priorAndMisClassCost$prior; misClassCost <- priorAndMisClassCost$misClassCost # Model Fitting ----------------------------------------------------------- - #> check stopping - stopFlag <- stopCheck(responseCurrent = responseCurrent, + stopInfo <- stopCheck(responseCurrent = responseCurrent, numCol = ncol(xCurrent), maxTreeLevel = maxTreeLevel, minNodeSize = minNodeSize, - currentLevel = currentLevel) # # 0/1/2: Normal/Stop+Mode/Stop+LDA + currentLevel = currentLevel) # Normal/Stop+Mode/Stop+ULDA - #> Based on the node model, decide whether we should fit LDA - if(nodeModel == "LDA" | stopFlag == 0){ # LDA model, or mode model with LDA splits - if(stopFlag == 1){ # when LDA can not be fitted + #> Based on the node model, decide whether we should fit ULDA + if(nodeModel == "ULDA" | stopInfo == "Normal"){ # ULDA model, or mode model with ULDA splits + if(stopInfo == "Insufficient data"){ # when LDA can not be fitted nodeModel <- "mode" } else{ - #> Empty response level can not be dropped if prior exists - # splitLDA <- nodePredict <- ldaGSVD(datX = xCurrent, response = responseCurrent, method = ldaType, fixNA = FALSE, prior = prior, insideTree = TRUE) - samplingRows <- sampleForLDA(response = responseCurrent, prior = prior, K = kSample) - splitLDA <- nodePredict <- ldaGSVD(datX = xCurrent[samplingRows$idxFinal,, drop = FALSE], - response = responseCurrent[samplingRows$idxFinal], - method = ldaType, - fixNA = FALSE, - prior = samplingRows$prior, - insideTree = TRUE) + splitLDA <- nodePredict <- folda::folda(datX = xCurrent, + response = responseCurrent, + subsetMethod = ldaType, + prior = prior, + misClassCost = misClassCost, + missingMethod = missingMethod, + downSampling = (kSample != -1), + kSample = kSample) resubPredict <- predict(object = nodePredict, newdata = xCurrent) + currentLoss = sum(resubPredict != responseCurrent) # save the currentLoss for future accuracy calculation + #> if not as good as mode, change it to mode, + #> but the splitting goes on, since the next split might be better. + if(currentLoss >= length(responseCurrent) - max(table(responseCurrent))) nodeModel <- "mode" } } if(nodeModel == "mode"){ nodePredict <- getMode(responseCurrent, prior = prior) resubPredict <- rep(nodePredict, length(responseCurrent)) - } - currentLoss = sum(resubPredict != responseCurrent) # save the currentLoss for future accuracy calculation - - #> if not as good as mode, change it to mode, - #> but the splitting goes on, since the next split might be better. - #> The code is subjective to change if prior will be added - if(currentLoss >= length(responseCurrent) - max(unname(table(responseCurrent)))){ - nodeModel <- "mode" - nodePredict <- getMode(responseCurrent, prior = prior) - resubPredict <- rep(nodePredict, length(responseCurrent)) currentLoss = sum(resubPredict != responseCurrent) } - # Splits Generating ----------------------------------------------------------- - #> Generate the splits - if(stopFlag == 0){ # if splitting goes on, find the splits + if(stopInfo == "Normal"){ # if splitting goes on, find the splits splitFun <- getSplitFunLDA(datX = xCurrent, - response = responseCurrent, - modelLDA = splitLDA) - if(is.null(splitFun)) stopFlag <- 4 # no splits + modelULDA = splitLDA) + if(is.null(splitFun)) stopInfo <- "No feasible splits" } else splitFun <- NULL - # Final Results ----------------------------------------------------------- currentTreeeNode <- list( - # currentIndex = currentIndex, # will be updated in new_SingleTreee() currentLevel = currentLevel, idxCol = idxCol, idxRow = idxRow, currentLoss = currentLoss, # this loss should account for sample size accuracy = 1 - currentLoss / length(responseCurrent), - stopFlag = stopFlag, + stopInfo = stopInfo, proportions = table(responseCurrent, dnn = NULL), # remove the name of the table + prior = prior, + misClassCost = misClassCost, parent = parentIndex, children = c(), # is.null to check terminal nodes - misReference = imputedSummary$ref, splitFun = splitFun, # save the splitting rules - # alpha = NA, # p-value from t-test, to measure the split's strength for model selection nodeModel = nodeModel, nodePredict = nodePredict # predict Function + # currentIndex = currentIndex, # will be updated in new_SingleTreee() + # alpha = NA, # p-value from t-test, to measure the split's strength for model selection + # pruned = NULL # generated during pruning ) class(currentTreeeNode) <- "TreeeNode" # Set the name for the class return(currentTreeeNode) diff --git a/R/plot.R b/R/plot.R index 3d8e8f6..a87a49d 100644 --- a/R/plot.R +++ b/R/plot.R @@ -1,106 +1,104 @@ -#' Plot a Treee object +#' Plot a Treee Object #' -#' Provide a diagram of the whole tree structure or a scatter/density plot for a -#' specific tree node. +#' This function visualizes either the entire decision tree or a specific node +#' within the tree. The tree is displayed as an interactive network of nodes and +#' edges, while individual nodes are scatter/density plots using `ggplot2`. #' -#' @section Overall tree structure: +#' @section Overall Tree Structure: #' -#' A full tree diagram (via the R package [visNetwork]) is shown if `node` is -#' not provided (default is `-1`). The color shows the most common (plurality) -#' class inside each node. The size of each terminal node is based on its -#' relative sample size. Under every node, you see the plurality class, the -#' fraction of the correctly predicted training sample vs. the node's sample -#' size, and the node index, respectively. When you click on the node, an -#' information panel with more details will appear. +#' A full tree diagram is displayed using [visNetwork] when `node` is not +#' specified (the default is `-1`). The color represents the most common +#' (plurality) class within each node, and the size of each terminal node +#' reflects its relative sample size. Below each node, the fraction of +#' correctly predicted training samples and the total sample size for that +#' node are shown, along with the node index. Clicking on a node opens an +#' information panel with additional details. #' -#' @section Individual plot for each node: +#' @section Individual Node Plot: #' -#' The node index and the original training data are required to return a more -#' detailed plot within a specific node. The density plot will be provided -#' when only two levels are left for the response variable in a node (like in -#' a binary classification problem). Samples are projected down to their first -#' linear discriminant scores (LD1). A scatter plot will be provided if a node -#' contains more than two classes. Samples are projected down to their first -#' and second linear discriminant scores. +#' To plot a specific node, you must provide the node index along with the +#' original training predictors (`datX`) and responses (`response`). A scatter +#' plot is generated if more than one discriminant score is available, +#' otherwise, a density plot is created. Samples are projected onto their +#' linear discriminant score(s). #' -#' @param x a fitted model object of class `Treee`, which is assumed to be the -#' result of the [Treee()] function. -#' @param data the original data you used to fit the `Treee` object if you want -#' the individual plot for each node. Otherwise, you can leave this parameter -#' blank if you only need the overall tree structure diagram. -#' @param node the node index that you are interested in. By default, it is set -#' to `-1` and the overall tree structure is drawn. -#' @param ... further arguments passed to or from other methods. -#' -#' @returns For overall tree structure (`node = -1`), A figure of class -#' `visNetwork` is drawn. Otherwise, a figure of class `ggplot` is drawn. +#' @param x A fitted model object of class `Treee`, typically the result of the +#' [Treee()] function. +#' @param datX A data frame of predictor variables. Required for plotting +#' individual nodes. +#' @param response A vector of response values. Required for plotting individual +#' nodes. +#' @param node An integer specifying the node to plot. If `node = -1`, the +#' entire tree is plotted. Default is `-1`. +#' @param ... Additional arguments passed to the plotting functions. #' +#' @return A `visNetwork` interactive plot of the decision tree if `node = -1`, +#' or a `ggplot2` object if a specific node is plotted. #' @export #' #' @examples -#' fit <- Treee(Species~., data = iris) -#' # plot the overall tree -#' plot(fit) -#' # plot a certain node -#' plot(fit, iris, node = 1) -plot.Treee <- function(tree, datX, response, node = -1, ...){ - treeeOutput <- tree - if(node>0){ - if(missing(datX) | missing(response)) stop("Please input the orginal training data for nodewise LDA plots") - if(treeeOutput$treee[[node]]$nodeModel == "mode") return(paste("Every observation in this node is predicted to be", treeeOutput$treee[[node]]$nodePredict)) - # Get the data ready, impute the NAs (if any) - response <- as.factor(response) - newX <- getDataInShape(data = datX[treeeOutput$treee[[node]]$idxRow,,drop = FALSE], missingReference = treeeOutput$treee[[node]]$misReference) - colorIdx <- match(names(treeeOutput$treee[[node]]$proportions), levels(response)) - - plotLDA2d(ldaModel = treeeOutput$treee[[node]]$nodePredict, - data = cbind.data.frame(response = response[treeeOutput$treee[[node]]$idxRow], newX), - node = node, - colorManual = scales::hue_pal()(nlevels(response))[colorIdx]) - }else{ # default overall plot - plot(treeeOutput$treee) - } -} +#' fit <- Treee(datX = iris[, -5], response = iris[, 5], verbose = FALSE) +#' plot(fit) # plot the overall tree +#' plot(fit, datX = iris, response = iris[, 5], node = 1) # plot a specific node +plot.Treee <- function(x, datX, response, node = -1, ...){ + # Save the color manual, since some classes might be empty during branching + colorManual = grDevices::hcl.colors(length(x[[1]]$proportions)) + names(colorManual) <- responseLevels <- names(x[[1]]$proportions) + if(node < 0){ # Overall tree plot + idTransVec <- seq_along(x) + nodes <- do.call(rbind, lapply(x, function(treeeNode) nodesHelper(treeeNode = treeeNode, idTransVec = idTransVec))) + edges <- do.call(rbind, lapply(x, edgesHelper)) + p <- visNetwork::visNetwork(nodes, edges, width = "100%", height = "600px")%>% + visNetwork::visNodes(shape = 'dot')%>% + visNetwork::visHierarchicalLayout(levelSeparation = 100)%>% + visNetwork::visInteraction(dragNodes = FALSE, + dragView = TRUE, + zoomView = TRUE) -#' @export -plot.SingleTreee <- function(x, ...){ - idTransVec <- seq_along(x) - nodes <- do.call(rbind, sapply(x, function(treeeNode) nodesHelper(treeeNode = treeeNode, idTransVec = idTransVec),simplify = FALSE)) - edges <- do.call(rbind, sapply(x, edgesHelper,simplify = FALSE)) - p <- visNetwork::visNetwork(nodes, edges, width = "100%", height = "600px")%>% - visNetwork::visNodes(shape = 'dot')%>% - visNetwork::visHierarchicalLayout(levelSeparation = 100)%>% - visNetwork::visLegend(width = 0.1, position = "right", main = "Group")%>% - visNetwork::visInteraction(dragNodes = FALSE, - dragView = TRUE, - zoomView = TRUE) + for (i in seq_along(responseLevels)) { + p <- p %>% visNetwork::visGroups(groupname = responseLevels[i], color = unname(colorManual[i])) + } - # Change the color manual - colorManual = scales::hue_pal()(length(x[[1]]$proportions)) - for(i in seq_along(colorManual)){ - p <- p %>% visNetwork::visGroups(groupname = names(x[[1]]$proportions)[i], color = colorManual[i]) + legend_nodes <- lapply(seq_along(responseLevels), function(i) { # add legends + list(label = responseLevels[i], + shape = "dot", + color = unname(colorManual[i])) + }) + p <- p %>% visNetwork::visLegend(addNodes = legend_nodes, width = 0.1, useGroups = FALSE, position = "right", main = "Class") + } else{ # individual node plot + if(x[[node]]$nodeModel == "mode") return(paste("Every observation in node", node, "is predicted to be", x[[node]]$nodePredict)) + if(missing(datX) || missing(response)) stop("Please input the training X and Y for the nodewise plot") + colorIdx <- match(names(x[[node]]$proportions), levels(response)) + p <- plot(x = x[[node]]$nodePredict, + datX = datX[x[[node]]$idxRow,,drop = FALSE], + response = response[x[[node]]$idxRow]) + p$scales$scales <- list() # remove old color palette + p <- p + + ggplot2::scale_color_manual(values = colorManual[colorIdx])+ + ggplot2::scale_fill_manual(values = colorManual[colorIdx])+ + ggplot2::labs(caption = paste("Node", node)) } - return(p) } + infoClickSingle <- function(treeeNode, idTransVec){ - line1 = '#### Information Panel ####' - line2 = paste('
Current Node Index:', idTransVec[treeeNode$currentIndex]) - line3 = paste('
There are', length(treeeNode$idxRow), 'data in this node') - # line4 = paste('
The proportion of', paste(names(treeeNode$proportions), collapse = ', '),'are', - # paste(sprintf("%.1f%%", treeeNode$proportions / length(treeeNode$idxRow) * 100), collapse = ', ')) - # line4 = paste('
', length(treeeNode$idxRow) - treeeNode$currentLoss, 'of them are correctly classified') - line5 = paste('
The resubstitution acc is ', round(treeeNode$accuracy,3)) - line5.5 = paste('
Plurality class (', round(max(treeeNode$proportions) / sum(treeeNode$proportions),4)*100, '%) is ', names(sort(treeeNode$proportions, decreasing = TRUE))[1], sep = "") - line6 = paste('
The model in this node is ', treeeNode$nodeModel) - line6.3 = paste("
Pillai's trace is ", tryCatch({treeeNode$nodePredict$statPillai}, error = function(e) {NULL})) - line6.5 = paste('
p value is ', tryCatch({treeeNode$nodePredict$pValue}, error = function(e) {NULL})) - line6.6 = paste('
predGini is ', tryCatch({treeeNode$nodePredict$predGini}, error = function(e) {NULL})) - line6.7 = paste('
alpha is ', tryCatch({treeeNode$alpha}, error = function(e) {NULL})) - line7 = paste('
stopFlag is ', treeeNode$stopFlag) - return(paste(line1,line2,line3,line5,line5.5,line6,line6.3,line6.5,line6.6,line6.7,line7)) + line1 = paste('#### Information Panel: Node', idTransVec[treeeNode$currentIndex], '####') + line2 = paste('
There are', length(treeeNode$idxRow), 'data in this node') + line3 = paste('
The resubstitution acc is ', round(treeeNode$accuracy,3)) + line4 = paste('
Plurality class (', round(max(treeeNode$proportions) / sum(treeeNode$proportions),4)*100, '%) is ', names(sort(treeeNode$proportions, decreasing = TRUE))[1], sep = "") + line5 = paste('
The model in this node is ', treeeNode$nodeModel) + line6 = paste('
stopInfo:', treeeNode$stopInfo) + + if (treeeNode$nodeModel != "mode") { + line7 = paste("
Pillai's trace is ", round(treeeNode$nodePredict$statPillai, 3)) + line8 = paste('
MANOVA p value is ', format(treeeNode$nodePredict$pValue, scientific= TRUE, digits = 4)) + line9 = paste('
Gini Index is ', format(treeeNode$nodePredict$predGini, scientific= TRUE, digits = 4)) + line10 = paste('
Splitting p value is ', format(treeeNode$alpha, scientific= TRUE, digits = 4)) + } else line7 = line8 = line9 = line10 = "" + + return(paste(line1,line2,line3,line4,line5,line6,line7,line8,line9,line10)) } @@ -111,13 +109,8 @@ nodesHelper <- function(treeeNode, idTransVec){ value = ifelse(terminalFlag, log(length(treeeNode$idxRow)), 2) # node size level = treeeNode$currentLevel group = names(sort(treeeNode$proportions, decreasing = TRUE))[1] - label = paste(# group, # paste(treeeNode$proportions, collapse = ' / '), - paste(length(treeeNode$idxRow) - treeeNode$currentLoss, length(treeeNode$idxRow), sep = ' / '), - # treeeNode$currentLoss, + label = paste(paste(length(treeeNode$idxRow) - treeeNode$currentLoss, length(treeeNode$idxRow), sep = ' / '), paste('Node', idTransVec[id]),sep = "\n") - # paste('alpha:', treeeNode$alpha) - # paste('Tnodes:', paste(treeeNode$offsprings, collapse = "/")), - # paste('Pruned:', treeeNode$pruned) return(data.frame(id, title, value, level, group, label, shadow = TRUE)) } @@ -128,34 +121,3 @@ edgesHelper <- function(treeeNode){ return(data.frame(from = treeeNode$currentIndex, to = treeeNode$children)) } } - -plotLDA2d <- function(ldaModel, data, node, colorManual){ - LD1 <- LD2 <- response <- NULL # walk around the binding error in R CMD check - # browser() - if(dim(ldaModel$scaling)[2] == 1){ - # Only one LD is available, draw the histogram - datCombined <- cbind.data.frame(response = data$response, LD1 = getLDscores(modelLDA = ldaModel, data = data, nScores = 1)) - estimatedPrior <- table(datCombined$response) / length(datCombined$response) - estimatedPrior <- estimatedPrior[which(estimatedPrior != 0)] # some classes are not available - datPlot <- do.call(rbind, lapply(seq_along(estimatedPrior), function(i) cbind(with(density(datCombined$LD1[datCombined$response == names(estimatedPrior)[i]]), data.frame(LD1 = x, density = y * estimatedPrior[i])), response = names(estimatedPrior)[i]))) - datPlot$response <- factor(datPlot$response, levels = names(estimatedPrior)) - p <- ggplot2::ggplot(data = datPlot)+ - ggplot2::geom_line(ggplot2::aes(x = LD1, y = density, color = response))+ - ggplot2::geom_ribbon(ggplot2::aes(x = LD1, ymin = 0, ymax = density, fill = response), alpha = 0.5)+ - ggplot2::scale_fill_manual(values = colorManual)+ - ggplot2::theme_bw()+ - ggplot2::labs(title = "Density plot of LD1", subtitle = paste("Node:",node)) - }else{ - LDscores <- getLDscores(modelLDA = ldaModel, data = data, nScores = 2) - datPlot <- cbind.data.frame(response = data$response, LDscores) - p <- ggplot2::ggplot(data = datPlot)+ - ggplot2::geom_point(ggplot2::aes(x = LD1, y = LD2, color = response), alpha = 0.7)+ - ggplot2::scale_color_manual(values = colorManual)+ - ggplot2::theme_bw()+ - ggplot2::labs(title = "Scatter plot by first two LDscores", subtitle = paste("Node:",node)) - } - return(p) -} - - - diff --git a/R/predict.R b/R/predict.R index 557d6e2..2b935d0 100644 --- a/R/predict.R +++ b/R/predict.R @@ -1,50 +1,47 @@ -#'Predictions from a fitted Treee object +#' Predictions From a Fitted Treee Object #' -#'Prediction of test data using a fitted Treee object +#' Generate predictions on new data using a fitted `Treee` model. #' -#'@param object a fitted model object of class `Treee`, which is assumed to be -#' the result of the [Treee()] function. -#'@param newdata data frame containing the values at which predictions are -#' required. Missing values are allowed. -#'@param type character string denoting the type of predicted value returned. -#' The default is to return the predicted class (`type = 'response'`). The -#' predicted posterior probabilities for each class will be returned if `type = -#' 'prob'`. `'all'` returns a data frame with predicted classes, posterior -#' probabilities, and the predicted node indices. -#' @param ... further arguments passed to or from other methods. +#' @param object A fitted model object of class `Treee`, typically the result of +#' the [Treee()] function. +#' @param newdata A data frame containing the predictor variables. Missing +#' values are allowed and will be handled according to the fitted tree's +#' method for handling missing data. +#' @param type A character string specifying the type of prediction to return. +#' Options are: +#' * `'response'`: returns the predicted class for each observation (default). +#' * `'prob'`: returns a data frame of posterior probabilities for each class. +#' * `'all'`: returns a data frame containing predicted classes, posterior probabilities, and the predicted node indices. +#' @param ... Additional arguments passed to or from other methods. #' -#'@returns The function returns different values based on the `type`, if -#' * `type = 'response'`: vector of predicted responses. -#' * `type = 'prob'`: a data frame of the posterior probabilities. Each class takes a column. -#' * `type = 'all'`: a data frame contains the predicted responses, posterior probabilities, and the predicted node indices. +#' @return Depending on the value of `type`, the function returns: +#' * If `type = 'response'`: A character vector of predicted class labels. +#' * If `type = 'prob'`: A data frame of posterior probabilities, where each class has its own column. +#' * If `type = 'all'`: A data frame containing predicted class labels, posterior probabilities, and the predicted node indices. #' -#'Note: for factor predictors, if it contains a level which is not used to -#' grow the tree, it will be converted to missing and will be imputed according -#' to the `missingMethod` in the fitted tree. -#'@export +#' Note: For factor predictors, if a level not present in the training data is +#' found in `newdata`, it will be treated as missing and handled according to +#' the `missingMethod` specified in the fitted tree. +#' +#' @export #' #' @examples -#' fit <- Treee(Species~., data = iris) -#' predict(fit,iris) -#' # output prosterior probabilities -#' predict(fit,iris,type = "prob") -predict.Treee <- function(object, newdata, type = c("response", "prob", "all"), insideCV = FALSE, newY = NULL, ...){ - # input type: data.frame / matrix / vector - # if(!inherits(object, "Treee")) stop("object not of class \"Treee\"") - stopifnot(is.data.frame(newdata)) - - type <- match.arg(type, c("response", "prob", "all")) - - return(predict(object$treee, newdata = newdata, type = type, insideCV = insideCV, newY = newY)) -} +#' fit <- Treee(datX = iris[, -5], response = iris[, 5], verbose = FALSE) +#' head(predict(fit, iris)) # Predicted classes +#' head(predict(fit, iris[, -5], type = "prob")) # Posterior probabilities +#' head(predict(fit, iris[, -5], type = "all")) # Full details +predict.Treee <- function(object, newdata, type = c("response", "prob", "all"), ...){ + if (!is.data.frame(newdata)) stop("datX must be a data.frame") + dots <- list(...) + insideCV <- if (!is.null(dots$insideCV)) dots$insideCV else FALSE + obsY <- if (!is.null(dots$obsY)) dots$obsY else NULL -#' @export -predict.SingleTreee <- function(object, newdata, type = "response", insideCV = FALSE, newY = NULL, ...){ + type <- match.arg(type, c("response", "prob", "all")) cname <- names(object[[1]]$proportions) # find the class names res <- data.frame(response = character(nrow(newdata)), node = numeric(nrow(newdata)), - newCols = matrix(0,nrow = nrow(newdata), ncol = length(cname))) + newCols = matrix(0, nrow = nrow(newdata), ncol = length(cname))) colnames(res)[2+seq_along(cname)] <- cname # posertior probs' name nodeList <- vector(mode = "list", length = length(object)) # keep the testing obs index nodeList[[1]] <- seq_len(nrow(newdata)) @@ -58,22 +55,20 @@ predict.SingleTreee <- function(object, newdata, type = "response", insideCV = F if(length(currentObs) == 0) next if(insideCV){ - object[[currentIdx]]$CVerror <- sum(predNode(data = newdata[currentObs,,drop = FALSE], + object[[currentIdx]]$CVerror <- sum(predNode(datX = newdata[currentObs,,drop = FALSE], treeeNode = currentNode, - missingReference = currentNode$misReference, - type = "response") != newY[currentObs]) + type = "response") != obsY[currentObs]) } if(is.null(currentNode$children)){ # terminal nodes res$node[currentObs] <- currentIdx - posteriorProbs <- predNode(data = newdata[currentObs,,drop = FALSE], + posteriorProbs <- predNode(datX = newdata[currentObs,,drop = FALSE], treeeNode = currentNode, - missingReference = currentNode$misReference, type = "prob") - res$response[currentObs] <- colnames(posteriorProbs)[max.col(posteriorProbs, ties.method = "first")] + res$response[currentObs] <- colnames(posteriorProbs)[max.col(-posteriorProbs %*% t(currentNode$misClassCost), ties.method = "first")] res[currentObs, match(colnames(posteriorProbs), colnames(res))] <- posteriorProbs }else{ # internal nodes - trainIndex <- currentNode$splitFun(datX = newdata[currentObs,,drop = FALSE], missingReference = currentNode$misReference) + trainIndex <- currentNode$splitFun(datX = newdata[currentObs,,drop = FALSE]) nodeStack <- c(nodeStack, currentNode$children) for(i in seq_along(currentNode$children)) nodeList[[currentNode$children[i]]] <- currentObs[trainIndex[[i]]] } @@ -86,6 +81,18 @@ predict.SingleTreee <- function(object, newdata, type = "response", insideCV = F } +predNode <- function(datX, treeeNode, type){ + if(treeeNode$nodeModel != "ULDA"){ + if(type == "response"){ + pred <- rep(treeeNode$nodePredict, nrow(datX)) + } else{ # if type = "all", the extra response column will be added later + pred <- matrix(0,nrow = nrow(datX), ncol = length(treeeNode$proportions), dimnames = list(c(), names(treeeNode$proportions))) + pred[,which(treeeNode$nodePredict == colnames(pred))] <- 1 + } + } else pred <- predict(object = treeeNode$nodePredict, newdata = datX, type = type) + return(pred) +} + diff --git a/R/print.R b/R/print.R index eeff490..fd15e1a 100644 --- a/R/print.R +++ b/R/print.R @@ -1,10 +1,3 @@ -#' @export -print.Treee <- function(x, ...){ - print(x$treee) - invisible(x) -} - - #' @export print.TreeeNode <- function(x, ...){ cat(paste0("Node ",x$currentIndex,":\n")) @@ -22,8 +15,6 @@ print.TreeeNode <- function(x, ...){ #' @export summary.TreeeNode <- function(object, ...){ # just print out everything besides some super long info - object$idxRow <- object$idxCol <- object$nodePredict <- object$misReference <- NULL - # class(object) <- "summary.TreeeNode" - # return(object) + object$idxRow <- object$idxCol <- object$nodePredict <- object$splitFun <- NULL return(unclass(object)) } diff --git a/R/prune.R b/R/prune.R index cdd67c2..a34b5e5 100644 --- a/R/prune.R +++ b/R/prune.R @@ -1,28 +1,26 @@ - -# pruning ----------------------------------------------------------------- - +#' Prune a Decision Tree +#' +#' This function performs pruning on an existing decision tree by using +#' cross-validation to assess the best level of tree complexity, balancing the +#' trade-off between tree size and predictive performance. +#' +#' @noRd prune <- function(oldTreee, - numberOfPruning, datX, response, ldaType, nodeModel, - missingMethod, - prior, + numberOfPruning, maxTreeLevel, minNodeSize, pThreshold, - verbose, - kSample){ - - - # Parameter Clean Up ------------------------------------------------------ - - oldTreee <- updateAlphaInTree(oldTreee) # make the alpha monotone - treeeSaved = oldTreee - - # pruning and error estimate ---------------------------------------------- + prior, + misClassCost, + missingMethod, + kSample, + verbose){ + treeeSaved = oldTreee # saved a copy for cutting idxCV <- sample(seq_len(numberOfPruning), length(response), replace = TRUE) treeeForPruning <- vector(mode = "list", length = numberOfPruning) @@ -32,51 +30,46 @@ prune <- function(oldTreee, } for(i in seq_len(numberOfPruning)){ - treeeForPruning[[i]] <- predict(new_SingleTreee(datX = datX[idxCV!=i, , drop = FALSE], - response = response[idxCV!=i], + treeeForPruning[[i]] <- predict(new_SingleTreee(datX = datX[idxCV != i, , drop = FALSE], + response = response[idxCV != i], ldaType = ldaType, nodeModel = nodeModel, - missingMethod = missingMethod, - prior = prior, maxTreeLevel = maxTreeLevel, minNodeSize = minNodeSize, pThreshold = 0.51, - verbose = FALSE, - kSample = kSample), - newdata = datX[idxCV ==i, , drop = FALSE], + prior = prior, + misClassCost = misClassCost, + missingMethod = missingMethod, + kSample = kSample, + verbose = FALSE), + newdata = datX[idxCV == i, , drop = FALSE], insideCV = TRUE, - newY = response[idxCV==i]) + obsY = response[idxCV == i]) if(verbose) utils::setTxtProgressBar(pbGrowTree, i) } - treeeForPruning <- lapply(treeeForPruning, updateAlphaInTree) - - CV_Table <- data.frame() - numOfPruning <- 0 if(verbose){ cat('\nPruning: Prune the trees...\n') pbPruneTree <- utils::txtProgressBar(min = 0, max = length(treeeSaved), style = 3) } + CV_Table <- data.frame(); pruningCounter <- 0 + while(TRUE){ nodesCount <- sum(sapply(oldTreee, function(treeeNode) is.null(treeeNode$pruned))) if(verbose) utils::setTxtProgressBar(pbPruneTree, length(treeeSaved) - nodesCount) meanAndSE <- getMeanAndSE(treeeListList = treeeForPruning) - currentCutAlpha = getCutAlpha(treeeList = oldTreee) - - # summary output - CV_Table <- rbind(CV_Table, c(numOfPruning, nodesCount, meanAndSE, currentCutAlpha)) + CV_Table <- rbind(CV_Table, c(pruningCounter, nodesCount, meanAndSE, currentCutAlpha)) if (nodesCount == 1) { if(verbose) utils::setTxtProgressBar(pbPruneTree, length(treeeSaved)) break } - # Cut the treee oldTreee <- pruneTreee(treeeList = oldTreee, alpha = currentCutAlpha) treeeForPruning <- lapply(treeeForPruning, function(treeeList) pruneTreee(treeeList = treeeList, alpha = currentCutAlpha)) - numOfPruning <- numOfPruning + 1 + pruningCounter <- pruningCounter + 1 } colnames(CV_Table) <- c("treeeNo", "nodeCount", "meanMSE", "seMSE", "alpha") @@ -86,45 +79,51 @@ prune <- function(oldTreee, kSE = 0.25 pruneThreshold <- (CV_Table$meanMSE + kSE * CV_Table$seMSE)[which.min(CV_Table$meanMSE)] idxFinal <- dim(CV_Table)[1] + 1 - which.max(rev(CV_Table$meanMSE <= pruneThreshold)) - for(i in seq_len(idxFinal-1)){ - treeeSaved <- pruneTreee(treeeList = treeeSaved, alpha = CV_Table$alpha[i]) - } - treeeNew <- dropNodes(treeeSaved) + for(i in seq_len(idxFinal-1)) treeeSaved <- pruneTreee(treeeList = treeeSaved, alpha = CV_Table$alpha[i]) - return(list(treeeNew = treeeNew, - CV_Table = CV_Table)) + return(list(treeeNew = dropNodes(treeeSaved), CV_Table = CV_Table)) } + +#' Update Alpha Values in a Tree +#' +#' This function calculates and updates the alpha values for each node in the +#' decision tree. Alpha is a measure (p-value) of the improvement in loss after +#' pruning a subtree. +#' +#' @noRd updateAlphaInTree <- function(treeeList){ - #> Purpose: Calculate alpha, and make it monotonic #> assumption: the index of the children must be larger than its parent's - for(i in rev(seq_along(treeeList))){ if(is.null(treeeList[[i]]$pruned)){ # Only loop over the unpruned nodes ## Get all terminal nodes - treeeList[[i]]$offsprings <- getTerminalNodes(currentIdx = i, treeeList = treeeList) + treeeList[[i]]$childrenTerminal <- getTerminalNodes(currentIdx = i, treeeList = treeeList) + ## Get re-substitution error - treeeList[[i]]$offspringLoss <- sum(sapply(treeeList[[i]]$offsprings, function(idx) treeeList[[idx]]$currentLoss)) - # treeeList[[i]]$alpha <- (treeeList[[i]]$currentLoss - treeeList[[i]]$offspringLoss) / (length(treeeList[[i]]$offsprings) - 1) + treeeList[[i]]$childrenTerminalLoss <- sum(sapply(treeeList[[i]]$childrenTerminal, function(idx) treeeList[[idx]]$currentLoss)) treeeList[[i]]$alpha <- getOneSidedPvalue(N = length(treeeList[[i]]$idxRow), lossBefore = treeeList[[i]]$currentLoss, - lossAfter = treeeList[[i]]$offspringLoss) - ## Update alpha to be monotonic - # childrenAlpha <- sapply(treeeList[[i]]$children, function(idx) treeeList[[idx]]$alpha) - #> In case that the tree is not root, but all alpha are the same - #> we add one to the root node alpha to separate them - # treeeList[[i]]$alpha <- min(c(Inf, treeeList[[i]]$alpha, unlist(childrenAlpha)), na.rm = TRUE) + lossAfter = treeeList[[i]]$childrenTerminalLoss) } } - return(treeeList) } +#' Calculate Mean and Standard Error of Tree Errors +#' +#' This function computes the mean and standard error of the errors from a list +#' of decision trees. +#' +#' @noRd +#' +#' @param treeeListList A list of decision tree objects, where each tree +#' contains information about its error. +#' getMeanAndSE <- function(treeeListList){ error <- sapply(treeeListList, getMeanAndSEhelper) - return(c(mean(error), sd(error) / sqrt(length(treeeListList)))) + return(c(mean(error), stats::sd(error) / sqrt(length(treeeListList)))) } getMeanAndSEhelper <- function(treeeList){ @@ -133,28 +132,39 @@ getMeanAndSEhelper <- function(treeeList){ } +#' Calculate the Cut-off Alpha for Pruning +#' +#' This function calculates the cut-off alpha value for pruning the decision +#' tree. The alpha value is computed from the internal (non-terminal) nodes of +#' the tree, representing the improvement in loss after pruning. The geometric +#' mean of the two largest alpha values is returned as the cut-off. +#' +#' @noRd getCutAlpha <- function(treeeList){ - # get alpha for all non-terminal nodes, NA for terminal nodes - # alphaList <- unique(sapply(treeeList, function(treeeNode) ifelse(is.null(treeeNode$children), NA, treeeNode$alpha))) - - #> only count alpha from internal nodes internalIdx <- setdiff(getTerminalNodes(1, treeeList, keepNonTerminal = T), getTerminalNodes(1, treeeList, keepNonTerminal = F)) alphaList <- unique(do.call(c, lapply(internalIdx, function(i) treeeList[[i]]$alpha))) + alphaCandidates <- stats::na.omit(sort(alphaList, decreasing = TRUE)[1:2]) - #> Geometry average - #> When no alpha is available, use .Machine$double.eps instead - alphaCandidates <- na.omit(sort(alphaList, decreasing = TRUE)[1:2]) if(length(alphaCandidates) == 0) alphaCandidates <- 1 return(exp(mean(log(alphaCandidates)))) } +#' Prune a Decision Tree Based on Alpha +#' +#' This function prunes the decision tree by removing branches whose alpha +#' values are greater than or equal to the given threshold. Pruning is performed +#' on non-terminal nodes that meet the alpha condition, and their child nodes +#' are marked as pruned. After pruning, the alpha values of the remaining nodes +#' are updated. +#' +#' @noRd pruneTreee <- function(treeeList, alpha){ for(i in rev(seq_along(treeeList))){ treeeNode <- treeeList[[i]] # not yet pruned + non-terminal node + alpha below threshold - currentFlag <- is.null(treeeNode$pruned) & !is.null(treeeNode$children) & treeeNode$alpha >= alpha - 1e-10 # R rounding error, 1e-10 needed + currentFlag <- is.null(treeeNode$pruned) && !is.null(treeeNode$children) && treeeNode$alpha >= alpha - 1e-10 # R rounding error, 1e-10 needed if(currentFlag){ allChildren <- getTerminalNodes(currentIdx = i, treeeList = treeeList, keepNonTerminal = TRUE) @@ -167,16 +177,24 @@ pruneTreee <- function(treeeList, alpha){ } +#' Drop Pruned Nodes from a Decision Tree +#' +#' This function removes pruned nodes from the decision tree, keeping only +#' terminal and relevant internal nodes. It reassigns the indices of the +#' remaining nodes and updates their children and parent node references +#' accordingly. +#' +#' @noRd dropNodes <- function(treeeList){ finalNodeIdx <- sort(getTerminalNodes(treeeList = treeeList, currentIdx = 1, keepNonTerminal = TRUE)) treeeList <- treeeList[finalNodeIdx] - class(treeeList) <- "SingleTreee" + class(treeeList) <- "Treee" for(i in seq_along(treeeList)){ treeeList[[i]]$currentIndex <- i # re-assign the currentIndex if(!is.null(treeeList[[i]]$children)) { treeeList[[i]]$children <- sapply(treeeList[[i]]$children, function(x) which(finalNodeIdx == x)) }else{ - if(treeeList[[i]]$stopFlag == 0) treeeList[[i]]$stopFlag = 3 # due to pruning + if(treeeList[[i]]$stopInfo == "Normal") treeeList[[i]]$stopInfo = "Pruned" } treeeList[[i]]$parent <- which(finalNodeIdx == treeeList[[i]]$parent) } @@ -184,6 +202,13 @@ dropNodes <- function(treeeList){ } +#' Retrieve Terminal Nodes in a Decision Tree +#' +#' This function retrieves all terminal (leaf) nodes that are descendants of a +#' specified node in the decision tree. Optionally, intermediate nodes can also +#' be included in the result. +#' +#' @noRd getTerminalNodes <- function(currentIdx, treeeList, keepNonTerminal = FALSE){ #> Get all terminal nodes that are offsprings from currentIdx treeeNode <- treeeList[[currentIdx]] @@ -191,7 +216,7 @@ getTerminalNodes <- function(currentIdx, treeeList, keepNonTerminal = FALSE){ return(currentIdx) }else{ nonTerminalNodes <- if(keepNonTerminal) currentIdx - terminalNodes <- do.call(c, sapply(treeeNode$children,function(x) getTerminalNodes(currentIdx = x, treeeList = treeeList, keepNonTerminal = keepNonTerminal), simplify = FALSE)) + terminalNodes <- do.call(c, lapply(treeeNode$children,function(x) getTerminalNodes(currentIdx = x, treeeList = treeeList, keepNonTerminal = keepNonTerminal))) return(c(nonTerminalNodes, terminalNodes)) } } diff --git a/R/split.R b/R/split.R index 8fac2f0..42eb9a7 100644 --- a/R/split.R +++ b/R/split.R @@ -1,30 +1,27 @@ -# mixed ------------------------------------------------------------------- - - -getSplitFunLDA <- function(datX, response, modelLDA){ - if(modelLDA$predGini <= 0.1) modelLDA$prior[] <- 1 / length(modelLDA$prior) # change to equal prior - return(getSplitFunLDAhelper(datX = datX, - response = response, - modelLDA = modelLDA)) +getSplitFunLDA <- function(datX, modelULDA){ + if(modelULDA$predGini <= 0.1) modelULDA$prior[] <- 1 / length(modelULDA$prior) # change to equal prior + return(getSplitFunLDAhelper(datX = datX, modelULDA = modelULDA)) } -# LDA -------------------------------------------------------------------- - - -getSplitFunLDAhelper <- function(datX, response, modelLDA){ - #> This function is called only when building the tree - - #> If there are some classes not being predicted - #> we will assign them to the class with the second largest posterior prob - predictedOutcome <- predict(modelLDA, datX) - # if(length(unique(predictedOutcome)) == 1) return(NULL) # This will never happens, delete before next release - idxPred <- which(names(modelLDA$prior) %in% predictedOutcome) - splitRes <- lapply(idxPred, function(i) which(names(modelLDA$prior)[i] == predictedOutcome)) - res <- function(datX, missingReference){ - fixedData <- getDataInShape(data = datX, missingReference = missingReference) - predictedProb <- predict(modelLDA, fixedData,type = "prob")[,idxPred, drop = FALSE] - predictedOutcome <- max.col(predictedProb, ties.method = "first") +#' Helper Function for LDA-based Splitting in Tree Construction +#' +#' This function generates a splitting function based on a fitted ULDA model. It +#' assigns observations to the class with the minimal classification cost, and +#' returns the corresponding split results. +#' +#' @noRd +getSplitFunLDAhelper <- function(datX, modelULDA){ + predictedOutcome <- predict(modelULDA, datX) + #> This will never happens, delete before next release + #> unless the Gini trick is abandoned + # if(length(unique(predictedOutcome)) == 1) return(NULL) + idxPred <- which(names(modelULDA$prior) %in% predictedOutcome) # in case some classes are not predicted + splitRes <- lapply(idxPred, function(i) which(names(modelULDA$prior)[i] == predictedOutcome)) + + res <- function(datX){ + predictedProb <- predict(modelULDA, datX, type = "prob")[, idxPred, drop = FALSE] + predictedOutcome <- max.col(-predictedProb %*% t(modelULDA$misClassCost[idxPred, idxPred, drop = FALSE]), ties.method = "first") return(lapply(seq_along(idxPred), function(i) which(i == predictedOutcome))) } diff --git a/R/utils.R b/R/utils.R index 6b3f107..222a7b4 100644 --- a/R/utils.R +++ b/R/utils.R @@ -1,458 +1,55 @@ - -# Check for input prior and misClassCost ---------------------------------- - -checkPriorAndMisClassCost <- function(prior, misClassCost, response, internal = FALSE){ - #> Modified from randomForest.default Line 114 - #> if internal == TRUE, the prior is actually prior / Nj - #> And it should have a name attributes. - - freqObs <- table(response, dnn = NULL) / length(response) # Default: Estimated Prior / - - #> prior fix - if (is.null(prior)) { - prior <- freqObs - } else { - if (length(prior) != nlevels(response)) - stop("length of prior not equal to number of classes") - if (!is.null(names(prior))){ - prior <- prior[findTargetIndex(names(prior), levels(response))] - } - if (any(prior < 0)) stop("prior must be non-negative") - } - - #> misClassCost fix - if (!is.null(misClassCost)) { # change the prior - if (dim(misClassCost)[1] != dim(misClassCost)[2] | dim(misClassCost)[1] != nlevels(response)) - stop("misclassification costs matrix has wrong dimension") - if(!all.equal(colnames(misClassCost), rownames(misClassCost))) - stop("misClassCost: colnames should be the same as rownames") - if (!is.null(colnames(misClassCost))){ - misClassCost <- misClassCost[findTargetIndex(colnames(misClassCost), levels(response)), - findTargetIndex(colnames(misClassCost), levels(response))] - } - prior <- prior * apply(misClassCost, 2, sum) - } - if(internal) prior <- prior / freqObs # - if(is.null(names(prior))) names(prior) <- levels(response) - return(prior / sum(prior)) -} - - -findTargetIndex <- function(nameObj, nameTarget){ - #> Assume nameObj and nameTarget are of the same length - #> check if nameObj are all in nameTarget - #> If yes, return the corresponding index - #> so that nameObj[idx] == nameTarget - targetIndex <- match(nameTarget, nameObj) - if (anyNA(targetIndex)) { - stop("The names do not match with the response") - } - return(targetIndex) -} - -getFinalPrior <- function(prior, response){ - priorObs <- table(response, dnn = NULL) / length(response) - levelLeftIdx <- match(names(priorObs), names(prior)) - stopifnot(!anyNA(levelLeftIdx)) # all levels should be in the prior - - prior <- prior[levelLeftIdx] * priorObs - return(prior / sum(prior)) -} - -sampleForLDA <- function(response, prior, K = 1000){ - idxFinal <- seq_along(response) - obsFreq <- table(response, dnn = NULL) - idxSubGroup <- which(obsFreq > K) - for(i in idxSubGroup){ - idxDelete <- sample(which(response == names(obsFreq)[i]), obsFreq[i] - K) - idxFinal <- setdiff(idxFinal, idxDelete) - } - - levelLeftIdx <- match(names(obsFreq), names(prior)) - prior <- prior[levelLeftIdx] * table(response[idxFinal], dnn = NULL) / obsFreq - return(list(idxFinal = idxFinal, prior = prior)) -} - -# Missing Value Imputation ------------------------------------------------ - - -missingFix <- function(data, missingMethod = c("medianFlag", "newLevel")){ - - #> data: a data.frame - #> missingMethod: for numerical / categorical variables, respectively - - misMethod <- misMethodHelper(missingMethod = missingMethod) - data <- createFlagColumns(data = data, misMethod = misMethod) # create flag columns - - numOrNot <- getNumFlag(data) # num or cat - NAcolumns <- sapply(data, anyNA) - dataNRef <- rbind(data, NA) # add ref to the last row of data, initialize using NAs - - for(i in seq_len(ncol(dataNRef))){ - - if(numOrNot[i]){ - # numerical / logical vars - #> The function below output NaN when all entries are NA, - #> so we add an if to prevent a vector of only NA and NaN (not constant) - targetValue <- do.call(misMethod$numMethod, list(dataNRef[,i], na.rm = TRUE)) - missingOrNot <- is.na(dataNRef[,i]) - if(!all(missingOrNot)) dataNRef[which(missingOrNot), i] <- targetValue - }else{ - # categorical vars - if(NAcolumns[i]){ # any NA - dataNRef[,i] <- as.character(dataNRef[,i]) # for new level addition - dataNRef[is.na(dataNRef[,i]),i] <- ifelse(misMethod$catMethod == "newLevel", "new0_0Level", as.character(getMode(dataNRef[,i]))) - dataNRef[,i] <- as.factor(dataNRef[,i]) # level information will be used in prediction - }else{ - dataNRef[,i] <- as.factor(dataNRef[,i]) - dataNRef[nrow(dataNRef),i] <- factor(getMode(dataNRef[,i]), levels = levels(dataNRef[,i])) - } - } - } - - checkColwithAllNA <- sapply(dataNRef, anyNA) # remove columns with all NAs - if(any(checkColwithAllNA)) dataNRef <- dataNRef[, !checkColwithAllNA] - - return(list(data = dataNRef[-nrow(dataNRef),,drop = FALSE], - ref = dataNRef[nrow(dataNRef),,drop = FALSE])) -} - -createFlagColumns <- function(data, misMethod){ - #> given a data and numOrNot (from getNumFlag) - #> output a data with added flag columns with correct 0/1 - #> We only add _FLAG to vars where NAs exist, not all columns - #> since even we add NAflags, they will not be trained - #> Notes: num flags are before cat flags, - #> regardless of their relative column positions - - numOrNot <- getNumFlag(data) # num or cat - NAcolumns <- sapply(data, anyNA) - - if(misMethod$numFlagOrNot & sum(numOrNot) > 0){ - NAcol <- which(numOrNot & NAcolumns) - if(length(NAcol) > 0){ - #> The line below will treat missing flags as numerical variables - #> as.factor() can be applied if we want them to be factors - numFlagCols <- do.call(cbind, sapply(NAcol, function(colIdx) is.na(data[, colIdx])+0, simplify = FALSE)) - colnames(numFlagCols) <- paste(colnames(data)[NAcol], "FLAG", sep = "_") - data <- cbind(data, numFlagCols) - } - } - - if(misMethod$catFlagOrNot & sum(!numOrNot) > 0){ - NAcol <- which((!numOrNot) & NAcolumns) - if(length(NAcol) > 0){ - catFlagCols <- do.call(cbind, sapply(NAcol, function(colIdx) is.na(data[, colIdx])+0, simplify = FALSE)) - colnames(catFlagCols) <- paste(colnames(data)[NAcol], "FLAG", sep = "_") - data <- cbind(data, catFlagCols) - } - } - return(data) -} - -misMethodHelper <- function(missingMethod){ - #> Aim: classify the missing imputation methods based on their methods and flags - numMethod <- missingMethod[1]; catMethod <- missingMethod[2] - numFlagOrNot <- grepl("Flag", numMethod) - catFlagOrNot <- grepl("Flag", catMethod) - numMethod <- ifelse(grepl("mean", numMethod), "mean", "median") - catMethod <- ifelse(grepl("mode", catMethod), "mode", "newLevel") - return(list(numMethod = numMethod, - catMethod = catMethod, - numFlagOrNot = numFlagOrNot, - catFlagOrNot = catFlagOrNot)) -} - - -# constant check --------------------------------------------------------- - -constantColCheck <- function(data, idx, tol = 1e-8, naAction = "keep"){ - if(missing(idx)) idx <- seq_len(ncol(data)) # default output columns - #> constant columns fix: the data in this step should not contains NA - - constantColCheckHelper <- function(x, tol = 1e-8){ - if(getNumFlag(x)) x <- round(x, digits = -log(tol,base = 10)) - if(naAction != "keep") return(length(unique(na.omit(x))) > 1) - return(length(unique(x)) > 1) - } - - idxNotConst <- which(sapply(data, function(x) constantColCheckHelper(x, tol))) - - return(idx[idxNotConst]) -} - - -# Get column Types -------------------------------------------------------- - -getNumFlag <- function(x, index = FALSE){ - #> index decides return type. e.g. return c(1,0,0,1,1,0) (FALSE) or c(1,4,5) (YES) - #> logical has to be included, a column with all NAs has to be viewed as numeric - if(is.null(dim(x))){return(any(class(x) %in% c('numeric', 'integer', 'logical')))} - - stopifnot(is.data.frame(x)) - - numOrNot <- sapply(x, class) %in% c('numeric', 'integer', 'logical') - - if(index){numOrNot <- which(numOrNot)} - - return(numOrNot) -} - -# Get mode -------------------------------------------------------------------- - -getMode <- function(v, prior, posterior = FALSE){ - #> posterior: return posterior probs (TRUE) or mode (FALSE) - #> NA will be ignored - v <- as.factor(v) - if(missing(prior)){ - prior = rep(1,nlevels(v)) # equal prior - }else{ - if (is.null(names(prior))){ - stopifnot(length(prior) == nlevels(v)) - names(prior) <- levels(v) - } else prior <- prior[match(levels(v), names(prior))] - } - - summary_table <- table(v) * prior - if(length(summary_table) == 0) return(NA) - if(posterior){return(summary_table / sum(summary_table))} - return(names(which.max(summary_table))) -} - - - -# Stop check -------------------------------------------------------------- - +#' Check if tree construction should stop +#' +#' @noRd +#' +#' @param responseCurrent A vector of the current response values at the node. +#' @param numCol The number of covariate columns remaining. +#' @param maxTreeLevel The maximum allowed level of the tree. +#' @param minNodeSize The minimum number of observations required at a node. +#' @param currentLevel The current level of the tree being constructed. stopCheck <- function(responseCurrent, numCol, maxTreeLevel, minNodeSize, currentLevel){ - # 0: Normal - # 1: Stop and return posterior majority - # 2: stop and fit LDA - - flagNodeSize <- length(responseCurrent) <= minNodeSize # 数据量不够了,LDA is unstable - flagTreeLevel <- currentLevel >= maxTreeLevel # 层数到了 + flagNodeSize <- length(responseCurrent) <= minNodeSize # Data size too small + flagTreeLevel <- currentLevel >= maxTreeLevel flagCol <- numCol == 0 # no covs left - flagResponse <- length(unique(responseCurrent)) == 1 # 只有一种y - - if (flagResponse | flagCol | flagNodeSize) {return(1)} - if (flagTreeLevel) {return(2)} - return(0) -} - - - -# Get LD scores ----------------------------------------------------------- - -getDesignMatrix <- function(modelLDA, data, scale = FALSE){ - # Output: the design matrix - Terms <- delete.response(modelLDA$terms) - modelX <- model.matrix(Terms, data = data, xlev = modelLDA$xlevels) - - if(scale){ # reserved for the scaling in getLDscores - modelX <- sweep(modelX[,modelLDA$varIdx,drop = FALSE], 2, modelLDA$varCenter, "-") - modelX <- sweep(modelX, 2, modelLDA$varSD, "/") - } - return(modelX) -} - -getLDscores <- function(modelLDA, data, nScores = -1){ - if(anyNA(data)) data <- getDataInShape(data = data, missingReference = modelLDA$misReference) - modelX <- getDesignMatrix(modelLDA = modelLDA, data = data, scale = TRUE) - if(nScores > 0) modelLDA$scaling <- modelLDA$scaling[, seq_len(nScores), drop = FALSE] - LDscores <- modelX %*% modelLDA$scaling - - return(LDscores) -} - - -# New level fix + Missing ----------------------------------------------------------- - -getDataInShape <- function(data, missingReference){ - #> change the shape of test data to the training data - #> and make sure that the dimension of the data is the same as missingRefernce - - cname <- colnames(missingReference) - nameVarIdx <- match(cname, colnames(data)) - if(anyNA(nameVarIdx)){ - #> New columns fix (or Flags): If there are less columns than it should be, - #> add columns with NA - data[,cname[which(is.na(nameVarIdx))]] <- NA - nameVarIdx <- match(cname, colnames(data)) - } - - for(currentIdx in seq_len(ncol(missingReference))){ # Main program starts - #> The tricky part is the iterator is based on the missingReference, NOT the data. - newIdx <- nameVarIdx[currentIdx] - numOrNot <- getNumFlag(missingReference[, currentIdx]) - - ### New-level Fix for Categorical Variable ### - if(!numOrNot) data[, newIdx] <- factor(data[, newIdx], levels = levels(missingReference[, currentIdx])) # may generate NAs - - missingOrNot <- is.na(data[, newIdx]) - if(!any(missingOrNot)) next - - ### Flag Variable Detection ### - #> This part is actually more complicated than expected - #> Four combinations could happen: Ori / Flag both can have NA or complete - currentVarName <- cname[currentIdx] - - ## Scenario 1: It has a related flag variable in the data ## - #> Only modify those flags where the original variable is missing - #> Keep other parts still, since there could already be imputed values - #> in the original variable that have been taken care of - currentFlagIdx <- which(cname == paste(currentVarName,"FLAG",sep = "_")) - if(length(currentFlagIdx) == 1) data[which(missingOrNot), nameVarIdx[currentFlagIdx]] <- 1 - - ## Scenario 2: It is a flag and it has an original variable in (or not in) the data ## - #> Only impute those NAs in the flag, but keep the values that are already in the flag - if(grepl("_FLAG$", currentVarName)){ - orginalVarName <- sub("_FLAG$", "", currentVarName) - orginalVarIdx <- which(cname == orginalVarName) - if(length(orginalVarIdx) == 1){ - data[which(missingOrNot), newIdx] <- is.na(data[which(missingOrNot), nameVarIdx[orginalVarIdx]]) + 0 - } else data[, newIdx] <- 1 # The original data is NOT found - next - } - - ### For numerical & categorical variables ### - data[which(missingOrNot), newIdx] <- missingReference[1, currentIdx] - } - - return(data[,nameVarIdx, drop = FALSE]) -} - - - - -# Prediction in terminal Nodes -------------------------------------------- - -predNode <- function(data, treeeNode, missingReference, type){ - #> data is a data.frame - if(treeeNode$nodeModel == "LDA"){ - data <- getDataInShape(data = data, missingReference = missingReference) - return(predict(object = treeeNode$nodePredict, newdata = data, type = type)) - } else{ - if(type == "response"){ - return(rep(treeeNode$nodePredict, nrow(data))) - } else{ # if type = "all", the extra response column will be added later - pred <- matrix(0,nrow = nrow(data), ncol = length(treeeNode$proportions), dimnames = list(c(), names(treeeNode$proportions))) - pred[,which(treeeNode$nodePredict == colnames(pred))] <- 1 - return(pred) - } + flagResponse <- length(unique(responseCurrent)) == 1 # only one class left + + if (flagResponse | flagCol | flagNodeSize) {return("Insufficient data")} + if (flagTreeLevel) {return("Maximum level reached")} + return("Normal") +} + + +#' Update Prior and Misclassification Cost +#' +#' This function updates the class prior probabilities and misclassification +#' cost matrix based on the observed response distribution. It adjusts the prior +#' and misclassification costs either inside or outside a node, depending on the +#' `insideNode` parameter. +#' +#' @noRd +updatePriorAndMisClassCost <- function(prior, misClassCost, response, insideNode = TRUE){ + if(!insideNode){ # Calculate the relative prior + res <- checkPriorAndMisClassCost(prior = prior, misClassCost = misClassCost, response = response) + priorObs <- as.vector(table(response, dnn = NULL)) / length(response) + res$prior <- res$prior / priorObs + }else{ + priorObs <- table(response, dnn = NULL) / length(response) + levelLeftIdx <- match(names(priorObs), names(prior)) + prior <- prior[levelLeftIdx] * priorObs + res <- list(prior = prior / sum(prior), + misClassCost = misClassCost[levelLeftIdx, levelLeftIdx, drop = FALSE]) } + return(res) } - -# Get the p-value for testing the current nodes' performance -------------- - getOneSidedPvalue <- function(N, lossBefore, lossAfter){ + #> Get the p-value for testing the current split's performance #> H1: lossBefore > lossAfter. loss stands for the prediction error zStat <- (lossBefore - lossAfter) / sqrt((lossBefore * (N - lossBefore) + lossAfter * (N - lossAfter)) / N + 1e-16) - pnorm(zStat, lower.tail = FALSE) -} - - -# Variable Selection ------------------------------------------------------ - -getChiSqStat <- function(datX, y){ - sapply(datX, function(x) getChiSqStatHelper(x, y)) + stats::pnorm(zStat, lower.tail = FALSE) } -getChiSqStatHelper <- function(x,y){ - if(getNumFlag(x)){ # numerical variable: first change to factor - m = mean(x,na.rm = T); s = sd(x,na.rm = T) - if(sum(!is.na(x)) >= 30 * nlevels(y)){ - splitNow = c(m - s *sqrt(3)/2, m, m + s *sqrt(3)/2) - }else splitNow = c(m - s *sqrt(3)/3, m + s *sqrt(3)/3) - - if(length(unique(splitNow)) == 1) return(0) # No possible split - x = cut(x, breaks = c(-Inf, splitNow, Inf), right = TRUE) - } - - if(anyNA(x)){ - levels(x) = c(levels(x), 'newLevel') - x[is.na(x)] <- 'newLevel' - } - if(length(unique(x)) == 1) return(0) # No possible split - - fit <- suppressWarnings(chisq.test(x, y)) +checkPriorAndMisClassCost <- utils::getFromNamespace("checkPriorAndMisClassCost", "folda") +getMode <- utils::getFromNamespace("getMode", "folda") - #> Change to 1-df wilson_hilferty chi-squared stat unless - #> the original df = 1 and p-value is larger than 10^(-16) - ans = unname(ifelse(fit$parameter > 1L, ifelse(fit$p.value > 10^(-16), - qchisq(1-fit$p.value, df = 1), - wilson_hilferty(fit$statistic,fit$parameter)), fit$statistic)) - return(ans) -} - - -wilson_hilferty = function(chi, df){ # change df = K to df = 1 - ans = max(0, (7/9 + sqrt(df) * ( (chi / df) ^ (1/3) - 1 + 2 / (9 * df) ))^3) - return(ans) -} - - -# Get tree depth ---------------------------------------------------------- - -getDepth <- function(treee){ - if(class(treee) == "Treee") treee = treee$treee - depthAll <- numeric(length(treee)) - updateList <- seq_along(treee)[-1] - if(length(updateList) != 0){ - for(i in updateList){ - currentNode <- treee[[i]] - depthAll[i] <- depthAll[currentNode$parent] + 1 - } - } - return(depthAll) -} - - -# RcppEigen --------------------------------------------------------------- - -# library(Rcpp) -# library(RcppEigen) -# Rcpp::cppFunction(' -# Rcpp::List qrEigen(const Eigen::MatrixXd &A) { -# Eigen::HouseholderQR qr(A); -# Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(A.rows(), A.cols()); -# Eigen::MatrixXd R = qr.matrixQR().topRows(A.cols()).template triangularView(); -# return Rcpp::List::create(Rcpp::Named("Q") = Q, Rcpp::Named("R") = R); -# } -# ', depends = "RcppEigen") -# -# Rcpp::cppFunction(' -# Rcpp::List svdEigen(const Eigen::MatrixXd &A) { -# Eigen::BDCSVD svd(A, Eigen::ComputeThinU | Eigen::ComputeThinV); -# Eigen::MatrixXd U = svd.matrixU(); -# Eigen::VectorXd S = svd.singularValues(); -# Eigen::MatrixXd V = svd.matrixV(); -# return Rcpp::List::create(Rcpp::Named("u") = U, Rcpp::Named("d") = S, Rcpp::Named("v") = V); -# } -# ', depends = "RcppEigen") - -saferSVD <- function(x, ...){ - #> Target for error code 1 from Lapack routine 'dgesdd' non-convergence error - #> Current solution: Round the design matrix to make approximations, - #> hopefully this will solve the problem - #> - #> The code is a little lengthy, since the variable assignment in tryCatch is tricky - parList <- list(svdObject = NULL, - svdSuccess = FALSE, - errorDigits = 16, - x = x) - while (!parList$svdSuccess) { - parList <- tryCatch({ - parList$svdObject <- svd(parList$x, ...) - parList$svdSuccess <- TRUE - parList - }, error = function(e) { - if (grepl("error code 1 from Lapack routine 'dgesdd'", e$message)) { - parList$x <- round(x, digits = parList$errorDigits) - parList$errorDigits <- parList$errorDigits - 1 - return(parList) - } else stop(e) - }) - } - return(parList$svdObject) -} diff --git a/README.Rmd b/README.Rmd index 9b6fcc0..cc86be3 100644 --- a/README.Rmd +++ b/README.Rmd @@ -18,6 +18,7 @@ knitr::opts_chunk$set( [![CRAN status](https://www.r-pkg.org/badges/version/LDATree)](https://CRAN.R-project.org/package=LDATree) [![R-CMD-check](https://github.com/Moran79/LDATree/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/Moran79/LDATree/actions/workflows/R-CMD-check.yaml) +![CRAN Downloads](https://cranlogs.r-pkg.org/badges/grand-total/LDATree) `LDATree` is an R modeling package for fitting classification trees. If you are unfamiliar with classification trees, here is a [tutorial](http://www.sthda.com/english/articles/35-statistical-machine-learning-essentials/141-cart-model-decision-tree-essentials/) about the traditional CART and its R implementation `rpart`. @@ -40,7 +41,7 @@ Compared to other similar trees, `LDATree` sets itself apart in the following wa install.packages("LDATree") ``` -The CRAN version is an outdated one from 08/2023. As of 06/2024, please use the command below for the current version, and the official updated CRAN release will be coming soon! +The CRAN version is an outdated one from 08/2023. Please stay tune for the latest version, which will be released around 10/2024. Meanwhile, feel free to try the undocumented version bellow. ```{r,fig.asp=0.618,out.width = "80%",fig.align = "center", eval=FALSE} library(devtools) @@ -54,9 +55,9 @@ To build an LDATree: ```{r,fig.asp=0.618,out.width = "100%",fig.align = "center"} library(LDATree) set.seed(443) -mpg <- as.data.frame(ggplot2::mpg) -datX <- mpg[, -5] # All predictors without Y -response <- mpg[, 5] # we try to predict "cyl" (number of cylinders) +diamonds <- as.data.frame(ggplot2::diamonds)[sample(53940, 2000),] +datX <- diamonds[, -2] +response <- diamonds[, 2] # we try to predict "cut" fit <- Treee(datX = datX, response = response, verbose = FALSE) ``` diff --git a/README.md b/README.md index 395514d..a0e9cab 100644 --- a/README.md +++ b/README.md @@ -8,6 +8,7 @@ [![CRAN status](https://www.r-pkg.org/badges/version/LDATree)](https://CRAN.R-project.org/package=LDATree) [![R-CMD-check](https://github.com/Moran79/LDATree/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/Moran79/LDATree/actions/workflows/R-CMD-check.yaml) +![CRAN Downloads](https://cranlogs.r-pkg.org/badges/grand-total/LDATree) `LDATree` is an R modeling package for fitting classification trees. If @@ -41,9 +42,9 @@ following ways: install.packages("LDATree") ``` -The CRAN version is an outdated one from 08/2023. As of 06/2024, please -use the command below for the current version, and the official updated -CRAN release will be coming soon! +The CRAN version is an outdated one from 08/2023. Please stay tune for +the latest version, which will be released around 10/2024. Meanwhile, +feel free to try the undocumented version bellow. ``` r library(devtools) @@ -57,9 +58,9 @@ To build an LDATree: ``` r library(LDATree) set.seed(443) -mpg <- as.data.frame(ggplot2::mpg) -datX <- mpg[, -5] # All predictors without Y -response <- mpg[, 5] # we try to predict "cyl" (number of cylinders) +diamonds <- as.data.frame(ggplot2::diamonds)[sample(53940, 2000),] +datX <- diamonds[, -2] +response <- diamonds[, 2] # we try to predict "cut" fit <- Treee(datX = datX, response = response, verbose = FALSE) ``` @@ -92,7 +93,7 @@ plot(fit, datX = datX, response = response, node = 3) # 3. A message plot(fit, datX = datX, response = response, node = 2) -#> [1] "Every observation in this node is predicted to be 4" +#> [1] "Every observation in node 2 is predicted to be Fair" ``` To make predictions: @@ -101,20 +102,20 @@ To make predictions: # Prediction only. predictions <- predict(fit, datX) head(predictions) -#> [1] "4" "4" "4" "4" "6" "6" +#> [1] "Ideal" "Ideal" "Ideal" "Ideal" "Ideal" "Ideal" ``` ``` r # A more informative prediction predictions <- predict(fit, datX, type = "all") head(predictions) -#> response node 4 5 6 8 -#> 1 4 14 1 0 0 0 -#> 2 4 6 1 0 0 0 -#> 3 4 6 1 0 0 0 -#> 4 4 6 1 0 0 0 -#> 5 6 18 0 0 1 0 -#> 6 6 15 0 0 1 0 +#> response node Fair Good Very Good Premium Ideal +#> 1 Ideal 6 4.362048e-03 0.062196349 0.2601145 0.056664046 0.6166630 +#> 2 Ideal 6 1.082022e-04 0.006308281 0.1290079 0.079961227 0.7846144 +#> 3 Ideal 6 7.226446e-03 0.077434549 0.2036148 0.023888946 0.6878352 +#> 4 Ideal 6 1.695119e-02 0.115233616 0.1551836 0.008302145 0.7043295 +#> 5 Ideal 6 4.923729e-05 0.004157352 0.1498265 0.187391975 0.6585749 +#> 6 Ideal 6 4.827312e-03 0.061274797 0.1978061 0.027410359 0.7086815 ``` ## Getting help diff --git a/man/Treee.Rd b/man/Treee.Rd index 6532cbe..fa020d7 100644 --- a/man/Treee.Rd +++ b/man/Treee.Rd @@ -2,99 +2,122 @@ % Please edit documentation in R/Treee.R \name{Treee} \alias{Treee} -\title{Classification trees with Linear Discriminant Analysis terminal nodes} +\title{Classification Trees with Uncorrelated Linear Discriminant Analysis Terminal +Nodes} \usage{ Treee( datX, response, - ldaType = c("step", "all"), - nodeModel = c("LDA", "mode"), - missingMethod = c("medianFlag", "newLevel"), - prior = NULL, - misClassCost = NULL, - pruneMethod = c("post", "pre", "pre-post"), - numberOfPruning = 10, + ldaType = c("forward", "all"), + nodeModel = c("ULDA", "mode"), + pruneMethod = c("pre", "post"), + numberOfPruning = 10L, maxTreeLevel = 20L, minNodeSize = NULL, - pThreshold = 0.1, - verbose = TRUE, - kSample = 1e+07 + pThreshold = NULL, + prior = NULL, + misClassCost = NULL, + missingMethod = c("medianFlag", "newLevel"), + kSample = -1, + verbose = TRUE ) } \arguments{ -\item{missingMethod}{Missing value solutions for numerical variables and -factor variables. \code{'mean'}, \code{'median'}, \code{'meanFlag'}, \code{'medianFlag'} are -available for numerical variables. \code{'mode'}, \code{'modeFlag'}, \code{'newLevel'} are -available for factor variables. The word \code{'Flag'} in the methods indicates -whether a missing flag is added or not. The \code{'newLevel'} method means that -all missing values are replaced with a new level rather than imputing them -to another existing value.} +\item{datX}{A data frame of predictor variables.} + +\item{response}{A vector of response values corresponding to \code{datX}.} + +\item{ldaType}{A character string specifying the type of LDA to use. Options +are \code{"forward"} for forward ULDA or \code{"all"} for full ULDA. Default is +\code{"forward"}.} + +\item{nodeModel}{A character string specifying the type of model used in each +node. Options are \code{"ULDA"} for Uncorrelated LDA, or \code{"mode"} for predicting +based on the most frequent class. Default is \code{"ULDA"}.} + +\item{pruneMethod}{A character string specifying the pruning method. \code{"pre"} +performs pre-pruning based on p-value thresholds, and \code{"post"} performs +cross-validation-based post-pruning. Default is \code{"pre"}.} -\item{maxTreeLevel}{controls the largest tree size possible for either a -direct-stopping tree or a CV-pruned tree. Adding one extra level (depth) -introduces an additional layer of nodes at the bottom of the current tree. -e.g., when the maximum level is 1 (or 2), the maximum tree size is 3 (or -7).} +\item{numberOfPruning}{An integer specifying the number of folds for +cross-validation during post-pruning. Default is \code{10}.} -\item{minNodeSize}{controls the minimum node size. Think carefully before -changing this value. Setting a large number might result in early stopping -and reduced accuracy. By default, it's set to one plus the number of -classes in the response variable.} +\item{maxTreeLevel}{An integer controlling the maximum depth of the tree. +Increasing this value allows for deeper trees with more nodes. Default is +\code{20}.} -\item{verbose}{a logical. If TRUE, the function provides additional -diagnostic messages or detailed output about its progress or internal -workings. Default is FALSE, where the function runs silently without -additional output.} +\item{minNodeSize}{An integer controlling the minimum number of samples +required in a node. Setting a higher value may lead to earlier stopping and +smaller trees. If not specified, it defaults to one plus the number of +response classes.} -\item{formula}{an object of class \link{formula}, which has the form \code{class ~ x1 + x2 + ...}} +\item{pThreshold}{A numeric value used as a threshold for pre-pruning based +on p-values. Lower values result in more conservative trees. If not +specified, defaults to \code{0.01} for pre-pruning and \code{0.51} for post-pruning.} -\item{data}{a data frame that contains both predictors and the response. -Missing values are allowed in predictors but not in the response.} +\item{prior}{A numeric vector of prior probabilities for each class. If +\code{NULL}, the prior is automatically calculated from the data.} + +\item{misClassCost}{A square matrix \eqn{C}, where each element \eqn{C_{ij}} +represents the cost of classifying an observation into class \eqn{i} given +that it truly belongs to class \eqn{j}. If \code{NULL}, a default matrix with +equal misclassification costs for all class pairs is used. Default is +\code{NULL}.} + +\item{missingMethod}{A character string specifying how missing values should +be handled. Options include \code{'mean'}, \code{'median'}, \code{'meanFlag'}, +\code{'medianFlag'} for numerical variables, and \code{'mode'}, \code{'modeFlag'}, +\code{'newLevel'} for factor variables. \code{'Flag'} options indicate whether a +missing flag is added, while \code{'newLevel'} replaces missing values with a +new factor level.} + +\item{kSample}{An integer specifying the number of samples to use for +downsampling during tree construction. Set to \code{-1} to disable downsampling.} + +\item{verbose}{A logical value. If \code{TRUE}, progress messages and detailed +output are printed during tree construction and pruning. Default is +\code{FALSE}.} } \value{ -An object of class \code{Treee} containing the following components: +An object of class \code{Treee} containing the fitted tree, which is a +list of nodes, each an object of class \code{TreeeNode}. Each \code{TreeeNode} +contains: \itemize{ -\item \code{formula}: the formula passed to the \code{\link[=Treee]{Treee()}} -\item \code{treee}: a list of all the tree nodes, and each node is an object of class \code{TreeeNode}. -\item \code{missingMethod}: the missingMethod passed to the \code{\link[=Treee]{Treee()}} - -An object of class \code{TreeeNode} containing the following components: -\item \code{currentIndex}: the node index of the current node -\item \code{currentLevel}: the level of the current node in the tree -\item \code{idxRow}, \code{idxCol}: the row and column indices showing which portion of data is used in the current node -\item \code{currentLoss}: ? -\item \code{accuracy}: the training accuracy of the current node -\item \code{stopFlag}: ? -\item \code{proportions}: shows the observed frequency for each class -\item \code{parent}: the node index of its parent -\item \code{children}: the node indices of its direct children (not including its children's children) -\item \code{misReference}: a data frame, serves as the reference for missing value imputation -\item \code{splitFun}: ? -\item \code{nodeModel}: one of \code{'mode'} or \code{'LDA'}. It shows the type of predictive model fitted in the current node -\item \code{nodePredict}: the fitted predictive model in the current node. It is an object of class \code{ldaGSVD} if LDA is fitted. If \code{nodeModel = 'mode'}, then it is a vector of length one, showing the plurality class. +\item \code{currentIndex}: The node index in the tree. +\item \code{currentLevel}: The depth of the current node in the tree. +\item \code{idxRow}, \code{idxCol}: Row and column indices indicating which part of the original data was used for this node. +\item \code{currentLoss}: The training error for this node. +\item \code{accuracy}: The training accuracy for this node. +\item \code{stopInfo}: Information on why the node stopped growing. +\item \code{proportions}: The observed frequency of each class in this node. +\item \code{prior}: The (adjusted) class prior probabilities used for ULDA or mode prediction. +\item \code{misClassCost}: The misclassification cost matrix used in this node. +\item \code{parent}: The index of the parent node. +\item \code{children}: A vector of indices of this node’s direct children. +\item \code{splitFun}: The splitting function used for this node. +\item \code{nodeModel}: Indicates the model fitted at the node (\code{'ULDA'} or \code{'mode'}). +\item \code{nodePredict}: The fitted model at the node, either a ULDA object or the plurality class. +\item \code{alpha}: The p-value from a two-sample t-test used to evaluate the strength of the split. +\item \code{childrenTerminal}: A vector of indices representing the terminal nodes that are descendants of this node. +\item \code{childrenTerminalLoss}: The total training error accumulated from all nodes listed in \code{childrenTerminal}. } } \description{ -\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}} Fit an LDATree model. -} -\details{ -Unlike other classification trees, LDATree integrates LDA throughout the -entire tree-growing process. Here is a breakdown of its distinctive features: -\itemize{ -\item The tree searches for the best binary split based on sample quantiles of the first linear discriminant score. -\item An LDA/GSVD model is fitted for each terminal node (For more details, refer to \code{\link[=ldaGSVD]{ldaGSVD()}}). -\item Missing values can be imputed using the mean, median, or mode, with optional missing flags available. -\item By default, the tree employs a direct-stopping rule. However, cross-validation using the alpha-pruning from CART is also provided. -} +This function fits a classification tree where each node has a Uncorrelated +Linear Discriminant Analysis (ULDA) model. It can also handle missing values +and perform downsampling. The resulting tree can be pruned either through +pre-pruning or post-pruning methods. } \examples{ -fit <- Treee(Species~., data = iris) +fit <- Treee(datX = iris[, -5], response = iris[, 5], verbose = FALSE) # Use cross-validation to prune the tree -fitCV <- Treee(Species~., data = iris) -# prediction -predict(fit,iris) -# plot the overall tree -plot(fit) -# plot a certain node -plot(fit, iris, node = 1) +fitCV <- Treee(datX = iris[, -5], response = iris[, 5], pruneMethod = "post", verbose = FALSE) +head(predict(fit, iris)) # prediction +plot(fit) # plot the overall tree +plot(fit, datX = iris[, -5], response = iris[, 5], node = 1) # plot a certain node +} +\references{ +Wang, S. (2024). A New Forward Discriminant Analysis Framework +Based On Pillai's Trace and ULDA. \emph{arXiv preprint arXiv:2409.03136}. +Available at \url{https://arxiv.org/abs/2409.03136}. } diff --git a/man/figures/README-plot1-1.png b/man/figures/README-plot1-1.png index e38f4c0807d95065925e9779e1c88112d078689c..8b1748ecfb77a79d32609fffedefaaae4286dcc2 100644 GIT binary patch literal 397067 zcmeFaby!qe*glMaNIMdOAUH@WHAqS$N+XEU5`%O~H#m|?C@CQ#N=OggEh16^(xsqu zNH_e}c#fWfuby|_|Gw+`sK{1fqw{mYQE&w>q1 zAO^ViAo28dwI6FD5r{7*ue2sVLBJ8jSXhU*d}HG1uzc=`Vl`A>Zce#oqSs4$L$tz+OLdW`zVw$w2e46JY8V`5+g zm|c3>Zd#7#+AS@8Gf z9XlfMrU!7{V@sVAIOT0SDaxoTv8$Ik4ogPDyr6m?y=fsLbs$occA8~ynCtDHtIX8+vD z+WzlqfeLb>_Hc4>z&L+g8=NYP`c_cc%*Du3^QxH@uo<|AC>Qr-9^r2%{EuD#-11+i zYW#ERB_3|Rf1moVT|b|yYHwsGX=4R$>LB`0gZ+K-zjyw9qA(|_?*FpIUxxnnEwHpG zzA)#HRujcHx=*zN8uF~!Ri#_tFMt{92eSuj#v}a2q72DSR zBlb?49yPmyLe1OT!c(rgiA#w~uI+_B&8PV=v2h_#@p~A@{+A6?SA-cRoLx_n6rH2N zG2%>6$YcN-S4LeA!FLLRYY}lJ4(ER>$KQ9yuHVB!ui()4OqiH(D;1e;Gz)%DJZ9{F zHOJrA8oVkF%~HfSqe9b)5ZqO2G>ah~kBjSDBul60gJxkc;a*s17Q>YE7y`+6A=wPA zriY4)LtAbBcZmE|F{|@XNH3Eg57GYusPAUL_1z{yvl!16v9aq1lOLx_pjj9MtOiXy z;TAr)C$14s*2RM+ssOn8|A6~Q8~*|KcTE4l^B-{kFva(c|1U5%0uQn^qvTB$&umkm@Z8~6Q-J3iMa%$F2(Hl6 zPOdkD!?zO_+OL$f*RZqvPi30Ks-eb(=ucs~nLSPl&~g{@#^Ku+pWld&BSDiZgXRPfV3r=JxJTS%;pPgLGaR6_^O-HrU-**iPA+ zjPVG5==UkAD=bZLHO0M_*obC3PC;Zj~zPv1FZ?QokYFw`t(ebWY z>iVV6)dXKEdGB=R8MnoqQd%54SQr~mSn@F0*mLaDp-|UxRDHQ{cS#eeFR=$8Z!O$6 z|ItKjS94?FUE;x7+Va-KqoxQY(O40uz2&ARJm#kmlSEIa+b*B{xZF49joVI^72jzJ zEnO%c8t;@o7m|3mH?`c#-C?-j8q3YByIJ1X=svpo%;j^K^!T7fZb%fX`kSSL#UduQ;d0@jw7EDTOZ*=(LCv#nwx)otIk$V!H*Y-Fu79HPq+!KAwmlrCuCQPkTmn zQe;i}bgEXK!L^CJJnZ_e=l%IcE#q}3&RMS6m-@(aR`K)#?x3NeQ9S4V$&bQdeYPje zzelQ^NN0x4N?lcqp2la2m=g+dayjRW_nl||!_ujbYcHfdB|%Y#;Dq~9760gZjx%o+ z|8S$wQYE)`+uV2%r*+opXi=d-@qQxyVMyZEYi69P$&n>5=V7U?>84c0c;d1| z(Wk|lCDtR)oo1SIbSlOH%LK7&7Za9mmUVb?jBZwMHfCuSj7y8{+}Qhc?f^bNT2-;! zN>Q`bxHWGgHYAXnkth{FECz zZH))njz3@~#y3v6BO@lg-Ei&z$@O&YW@yQnm-~dUn9F=#)A)L>x2IR!LT=e)-2CdJ z#vlR;j^MU2i7~h4_3p9+e$Kans*C0foau7l~1BWU{=tt zDC{*eCkoFiJo7%-c3IEV6Pe%d9Hvx+vgxE-ltwiZ(+c;yEa>eu>Je&HvDS3X-+Yqm z+Gb(U6iTyAKXCB!+`g&Doc0)%1G@-{XbkG^A76e=s`Q#!Y`b~uoqBbbOKOG}6^$SZ zJ1AG2@(FaxwE+DZk+{b&2`W2(OV@2CWqN-8?8bqqbubfz4+eu2m~@CT)UHRDR5Bh+ zh#kCK9$cU6Yf5>dJ1Ed`GN*cHc57AaaCMJoV{wF9n#S?gM5W7PFOn5N&H|qg-h@!o z69w-dEFF4T_9N*mR8++pH-$LW!CB3LPYxe9~<9O#D zD=AN&OtuG|O^lL4*9Fd|Rmh@E&Q8=Y;?S*VJDZ+noavX+q1K~xpu1}hf{P5>4+Q9- zFo-~S{lm=xx!Vnj6QHewBd!aYl@7fu7abJW7~Os*;-0Vi&bT!uOvepHA)!KxflD4! zLbiwdn^TX7208Vrg%4IZ5AEI;t#*jjoZ_H%c-h=M-WWu`Fj3;YTXM2YTU9K;VZJ^F z<;N7#=+G&W5Z>D6rnIy3Ch}%EaPkv6OKyG0O=5vASu=L)rXv$wf{Gob7>M9J*8c2 zX(rg_5S8tal6A4T6Q{nbgWC&uopwx3NlAT_^6AM`Z@TkH|%e+bnW|%M3tfg=gxiKu%JoLhGoHcAkdD+zN$LM(35$rBxcaOT>h=Uez zwb%CmbnUy{11h!(68G8M+}y?;bKP|&@=(}{Y7t#aI%$-7pI2~ey)KT|VjOf6!?U)p zPvu#Ul&2z!I=nUtG#^`<4y_6AfA|b|*Vq|KVYYU69e$tFOfm!@@9_X%e|G{*q^ zym_5^3a!S%PtLTgS`M)}>twE7VjaTWE^w!RSJGyFxQu&rr?&(pe@=NHZhD_Pw^e&0 zUs{S3mzpDaBkYj}gLU~#>KoQ>^47R)$Og0b3iANI!M2asR^7>Q&^;b1d5n{CnY2HZ z!7?#>ztF2~6H>E3RO8urw_opYU9XAp$!!wV^@v9;)l|Uao1b03f{w>$!qnRx>>Gc_ znrkT--xx&E1bTe@sD%@krznwf%8=wq5i%RE)%b!5lu6&KQL#{$ryR=(;wXP*yS+1) z`zSM~Jj3?cIgd{SdVykqU)q%>;w*9=0Jm!VDbFFN(Mn$*>b3UrTw@6TC?)@xhyAkJ zguqfRisgh}p;9a)QVD4IHQd6WS_IY!gU%P%Y?rDw`4Uvh%X{6&c1Ke;SAtNKkfo7# z9;ILBRj6vUip*8Lgrul&hbo+H&N_a$5#rS7h5{61BCKCYF%Mx1qN;PC>tK zX;@9JezxN9V0QwjgjO4(!CajRK8~8b6^XvC2x{w6I*zKfu2&g}lDZ$STmXhu@t{H{ zPgeM{_T?i{s+x7}8s7O2)gWkSN)ugAPu)!P+L@UjWiJ^HAMtL{9wjmRI{TLXk)?1A z(7&io)(Kd7bS;&?k^Yfzc;cHN&T7i4s;ZFH@w%n`(Iulqm#2JITJ!yR^j=fWUd&xe zTErt=stqgpT5h?en1dFeHQAn`q|r&M(~rasT%LNYGzZ-75R2CYyi-~0rvf@#$`%h3 z8bOb#I>LLe$vb#0;*nW@#=r&;H$p%WknKd`!Av5m z^EGOROvG}VyxFWd+;Tz+!~02-vGYeHkKI+8&Pi6YQj=0r_rv#N7fqKQP(LW z&y=aTzTDj8#7dk06VFrQC(~te0^Hgz6!nF=IiY%^!Ni*olmg-()U|KpT?VR@nbvJO z=}nRGiL^v7w_%rw5Zhi&lSZqOk<%1<9<~KdI6Cs`m=)WT@c~50l#^+RQ3?$fX78=0 zqjLnDHU>{e1!>+E=ME5OMNJbk;81v+B$ z0u*UAR6Ni9_z-xQm4^jYU+W19$ZNYWdfqSWt#&*D@VA)$k~)QwMW~>uW6^VhdMvQR zW0KnkQ_J$%n` zvpZU3p7Y9cIweJdyx;}V5Oj1kklf1WK(%*1)XV&b z{QmbYWjVlZWQlLk(Qx3HSC2qxJk8+@XdchP2!QiY=?)seLAk9D(x5b=MKBUHkB=mQ z;IcNRaiQVzP=0%s9+W0gixLmbe~6Yp3C!PTdjE)=fBB}L`_~_l^GD?TWr6?yBrp-pq%I$yS^4OSdVd<0 zn7W?&3`~~&kXd#Ht#SRp+8tHuf-vj-z7vP;Vhk8grDmwX9H(^-i8K-N=$J!A>M2wTrLQSLa;(C+K9XKHOlYD+|}St=&fLa z^t$nK8=zOrw_?XH--cwdy5*lqMdY^Y1=PJ$aQ)bqgnVM4*Q;3YSmWS<>?h=K9a2 z7+d@4zP?VU$V>qZ$Jt5y@Ce$P%?rO+8bRJKR(;1;jzoeR$1w6qB3A-dngh22Z}@v#rj*<#KO!tyvTDZ7CT zMxUI^=}*8IZ`CZE=Z6LUV}qRoHk_fKO@_l7{akEA+Ix+cV>{T;=S4J_2wlV$B!QM~ z;>0VC*F8LF6J?CWY3Q}mz3I_vO9X}^&6Tkw(XcJV)C!RVN2=`#f0kJf@RI5>hto&J zmrh~VGqn%K|DrMevFhJfA5_-Q@U458LcMdQxu{tVz8XQ^U>O1C5AtpE!Z6Xo9(k!{ z=fi%tj^a1dCRc47n7nVosj2X_%k6C0w2KTcDpd8_li_AMx)P!_PdgOzBm*6iD3hPJ zUY|x5H;Wn1N3lqeCCiJP0yk4nF*xw|`uvB+c>V^{jMCCI|B^^P65f21ib+%1gpI8S{`>&7vc|^>IRquT>Gq z2g)17=-8+jQp%=z#?m7HiblEOdQ@E;c_F9f1qGI@*w)uNq`2_{7B=WS=3oj3B?%+9 zQJS|DHcdg|H2Tuu`YKWuQJ{sj3=}ioX_!?U_?k`Vv~@8x@zL;;EV5`D3;x^(+XPdS zX&Vz@t~g(NZ81$vAo_R z^n*-)zadUQfa?=d<Lq``fYW{Znkwc|=k_1CLCM+{_U< zo5@M0RyFgU_ISPjLjiO^78Cx>kl{tZnC^0d!JEmeO41xUWdhOJT9-z1Q`}P4$$YQLX~ebS}siTasiEj@78mT0}6?j??*>rC}^TCL(>_X zb+T8;h@Ht`Tn&#}%m{$JpobfsVg%u4=@oJDWsOFLI7yM<%qbjLPB4Sw%vbw3KN<^4 z)$hQB-$YKQqT}3P8qmYr$vt&A6~TR)T#)a0cd0Uex6TUT`yyvu{~s>w$F6IL@u~CK z#A=ae#_lABoIR%pYGd2Oie7C#XZoZxEQDyXUz+VbXKWht^(VTto!}!17 zcz*nNdz_OspLt@?)2(q$#w<5`1aek!UFP@Q>jyi%KaVL&akfHf;fZpeMMOu}lm2@qLRlB@_eDFpa(; z=A61!FmS&{CpX_@h4HT3`hvNi2Ogo}oZAHWR3AOOHKz=<%upTnKxbawB}7YjPhBxn zrmrIdtIs+EtM34l^m9sF?f5JRpP1%_Rz4@-Ch~^NWPh~I?>FApW11)m@l#ic_kX6a z1s21}`^!u{>gA@IWc;EtOny1bSMTiZ31{3F0O*kQH2`SIe!GhM+j|lhT#+7TV`JMQ_ zie8;N21;iG5iuoqt+R$IjaN>5sHX?d=YJYMBZx+CtnEk5grDTo%?2=vAji#YS5f-W z$^T=69XvU%mU{)yS5^Ha=zMJJSJ9|B=zNXh8aA!wVK+*aV7qs`*QE9M>UN1oN2*B^ z?#1HyDq`fT{}1s0!YCi)_4hME^5E;Kmdcp$2t8_01anXzv`q-wO4pABH#3J8eb%{# zn)Ijos=A-_gaMQ~Qb{U0GelhDvRF1cu+~!k(Q08Gfuqxa!Xua;pQxW?e@Z>amm6D& zD6ES=UO)IeF!djx{NAK6LC^_0T|+jzLHY3r0D#h&(Sh-4)U-?WB+%BG0pc2t(Qaso zNIFD8YC?QSF{|4P)^csr&kOt?MDn=fQ6|XE7T0i<6hWua3ZJ9q!#<2YQ4d1vvn^`u z=^eFNcNxG!6&gH}=uBT{`Sy?!@*ypb0d%ABSypCIeBbLmKl{vSr*|845I!S$oALjE z?BBZ(>Fjq0UXbUlKeOsQmC!6r@1Dl@hM`>-nx*9dp0W^Gm-@Zge>4q1@^{vI`IjTx zpf=Xa7wktEMj;(4fM#0Yufuy5Cf<+ja8GHNHZpJkCmTXO?S76jDr8bvg& z&1vWR7!!jFqrjubtW#;cX!L3zkDu}`3|p@0fcjOusPHrCDwiAsin0zs<)$S150l)- ze8R};Yo(}$KL<)TC#!~6pqN!FzLNgdvl&b}x3U6N-ZPAXXE4WWdj7D8+U*nNs!GD+xZ;dh2hek#X zZ?)|0Z0qs*jDioOXk0~{0RNlCKKyO5<0kLpBssh|RG?YqRQTxkFEW-KlF5QFQuSJ( zkNT{2NmnV_6H1?yEXRY@FiJ~P(E-=jcYr2iRO@vIGBcPxIPxzx*X`r_5^dZ?=VaLN z<0~CfPFGDwA1#(Z)q;;6&)1R3yLg%Ot@;W1vAbh+ z6-`UmZX!(($O{?{H__>^0=J-gjIAd0CyUZo9nx z_y55qDv0rm@G35XcLI28O$XDDsM>MM(Z5%KN^n@VPh_#5fAMeBpUd z-J7POejvSWG@vsRzBckSi+{cGwJvJtJpFgyx?^kY zMR?BvSr)Nc_SD@fJYOQ_3A9{vB&s=>$kaxZo|g*tgJ3x)=Z**wn9fiA`V(67=f$s9 z%W0T*QWrdqB%6M;-+9hclT%)uBh)A}I&%KT>L=jX{3C1=&{2Eu@HH5-%DZ+!d>BnX zBMY@;kb8#CEch5ZOc1LF8zvyzKX>rCp#sFedk2jtvsSPM$nL$qMT?HAjxon4mHP6h8 zqY_8#e}}z$4U4xxxTuw+na(i#fLy46DJ1gX=Ol zzu9(E?dbV;H4xybS=x<*yZmX2@qEMVeZQ*aD`hB=pOr?{g<_^%hq=J^=?A0uWACYS z*1vJe8-2ezDzXSCV0g1N-Jc@q^HNlM<{QH@4SMvR*F}ECS(H_^M$J?7K}pCNF8T-l zj-k~rPg~Lvs&%};^X)0%kh*q6R9LaSXB&=Ea-ObAn%cH+^em`VFR(C+|CB?qYyZ=& zzul~M8oM`lFedwSbV*!T7Fq9N5)veF|CT@Yn7guI*^c0?L ztbH>e;-Y`$%7jN^F)QuVK2JsTSi!H*slSFPDG8rpW*D+9LMBNdU1f1Cbx3dudVcw| zk*Opi36V4I>LuLe`7T0Co6zA)Q={jyfEE9ma86ixZ6@>EmAvvdHoj|3@?A93J?vEsDD@6w_YDK=-8 z+f7PdFHV)bsjgCzI;=J^I2>ip_Z;OIb6#%^%{jwtm{yf5%I#*-7P7de)$u^HpY^0; z%C7NYm;d(qp1|CE-{F^qpuV%ek}WVkM9b;yK-3TbkM(*_y?+jV^mPTwtQ(_)AcxwM z!+>)%s%=JWD1BE3~I%B3|dFqK<)eO*$ z!v?rn?OY&zsHt!53QWT`vD(EHVmZAXbK+NzkRvW|d=)3b9YVU@lt0mcU8l7w%?9a> zbL2kSlU^l>)9$MBAK45&LJ7~?FzRigA`d z623s-^Cb!Cp-1TV1%XVWLnci{5o$31!u6!S5-;eGnIvA&o;JWV(^El3v{ zyWhz`xiKo^qo0tF;8PDbW69d$JbCZSt^;A?L}zI8>MzQI%R?b>TY$|f4Cl3=f!o0b_(7@;(OJ(Kv5b*mV{%OH%-9s5$nc#Nz#HyV}h4%VaE;z}Q`dmz2^G4vk=d zb-^^sFKXD>bR-Ac_2pD8f9Mvv)A8(JeqWjf;oE5p z-4G2fTs7fmk$A2bj`<&|DU| zZgE6M&Q!Qp`ySR`O>yqg;cn1UV`$T%`r48^Q+b8pc=ABOc>f*a>$RrDhYyp0Z;-C$ z)pe|AwEd7((zrI$O^*fRxHuI_>o@?Fg?ddjN==)deaj z=wh(hn{FP0sG_QV^5{}PQTT*JJ}FZjdx=Bi4;J{1;m9@8u!ypY8U@X%iH|*2(x)c2 zr*`v)%vk29`#cyxcN=CSQ`T0UXBAim$#H%X;i&$y`8H25o~=I=^vCp zQpSsy>->?uuhPY7apgB>Y7#mQ+=UO`miO;xCSIjc$Dw{Fz(dA25p#H|s!4~;49a%+ z#J_IEyD_T1>+UyO((ces9Vy%oIR|qEV;K=9OKnGXzrTXn2-6Up=ONq(3g`nyTg(X+ zFx$uy*ocWOO6<%Tai2&}b9(bkWS=X0qI6nx@`b=`&(u}0V(V#qd9ib`{tYY28bD`P zbK=xJY${4DJ@(7cZQ$B5tajeGo_Zf)E*RFPSOkFS`Kf;@AxxXWFy#DlXV zhe11B)k%HK#CSilD$&lH_6+52lVclL;{tB~`5Lz(Hbflb*pFX`W`a^!jIKn9yWpmb z>X$>=hJ&<)Yx431DWxpVEBrB^xT}(oSM~goW0f`BdTo=GH4F)4ZBk%Fh%#u5cE{HV zd!ZlK`sb?Owh)rIV39OzVm-Qh7?`-we||m3h6?VFp7;Jsph%GsF3M*O%2~Zn?9Xn5?ho0NKyZ}Q70%gTlwe-C7+}10=b46 zhJdNlu)&cMa`O3%oScwrN`7w7r}!!N=kxTn~T z+WmXGi0ca;2V=}>9DP#%f*aTysEK$BizyM*@T%66duXq)o)sCBkhoc=6NRkv6%Jc- z94C0nI5RT?pk{8K0cbls+yDz6mISLhZAD-8!t!^u0y-9IxiMeH{gb`O2(IGP-*!Y+ zFKTHj$FX0#R(4}=jntjTCJK3MtTBB0kb)YQnw@Mi!`D??dUgbqx%Fx1KgK$;RqKEU z6gG!uPS8)5>jsuX#*KJKc@Eh`_$FDvppS2x$3t)i8)2W}Hfb zC3cvw`kAq`QsbgP;M8Xna`bBdG#hLc6T9Ac^r_JKf4)O)y}ox3r+zrC;-ywb$$=V` z#j`LM3vfq23+e$*Y1#MAVabMBg$QJDaIo^O3hJFS z+}ppG++GUI#(L`7qd@ipBHw_aUx~7vi#5fJLOmwjE+6|QXXJ-9KR&X_`*13Jc|}E{ zq7VlJ%!Z{^=MnGGw*AL!wex^$;%S^0AO7j2&6bvRZh;1;c+aj`l@4uEdn`OcdaYl0l|=#jZ5I0l9m=QC}ln;lMRWE zj5HjQBEhwPn04yM<&P5d06B<7D-MQfj+zbn4x0x%HHg56h?rOo5H~At>Xq+Zs^xVg zi~DT4>sboiIXsT=XTJ7~X2Iey#i3`}A*nreuONK9OZPMX#mL{==o{E0P&d@P+%9>v z_JQ(Ah;i*vJ6-V#C8p zdilb|`_~RE?HrF9|A%$-g+ZTr^YS(2(fx?a^pG>S_T=?(=7~|qQwCISMN*fX&bbnU zQ$Of4B?p`N%!LI{PfsT~gDbC~P{>yp5~-aou2((oH>LCZmhzt*?=(d-D~j$s>X)&fpEdp1%Z#^PRl;H^@zYmJAkl9J3I zjTt*ruou~Fzw5b6m6BSlQ@%qXr+s+lQe-6?8SbhYZudnvc75s;&0W=_=Ks+=A7y}B zph<^L{lw$1qd+acipP}bBxjPOlGm?IXi2HivE_IXz|Q>oQh~O>^K%_wx_TVlk4Ogq z?&Zi9VNDTnDQ8HD3?x95;lp!`7!b(x{jv%3Bb5G+QEP9Z$o-;h&d+X<0`ukZ`q>QH z$8ibXj}Jx#|8^s`T|eX&Ib+3aEU4UT1*$K9@+JNJ>SZWZ)7u9p2P&L%E5X`BNu+(*+9nm4zQo8= z1pw6s8$HV(f4W*X-A5wd87CNJdtwN%sa%gc|flHexG$;yUeU+PZ#v{>NW{2fx|q=vgWqUj><>8m5@WaSlw zw`5_*@+_MZO0L>Xsmtgd;5Tz6w$9s;60XV{7`)h@CL|#tF}68BeC7wr{zY8~mQzs3 zX+};1Vo@9f^72+!?4_d}t+pTZ+3st7ijKLmRy`A4w`w$Tc4iqEFVk^g!AG6K+H_h{ z@+?va2?^gSf4%p%_ShM!erDM&w)6`U%dz(~GB_nvR7e=u+2t`W%QLV#ml=M^M$Q$s z+R0wuctq67|5JPY^>6DbK&JhM88+E^HM$(tTjOS@US8=hL`pSY!}Gn?Xz`Kmr!M*8 zn)r}pueumV+X+5dCG`+O;)mEL0wfKnaOLIX0xOEcKtb0R(q!$I%u?A6%lEhTy>8N3 zij&|_E5a;muy->IpPQr+ZuH6BU(%TM3M zuuuSlf8h*l`pJXDcpan099k_ci_m!uhy$ID&yUTU=0!PgZ>{ zz*e2HwJ2zQ;iQaYUwRk$ZJN`#EpOjKHankd*s0Xu`S-}^^%2j^Y+WrMERnNOFCxUL zP^fs@F{*B$5|_N&LX7iTL8cYE@e-!AY(D31frRBRH3=jQvy&D#=%!Pu5#Yh)JKwqe z?*@ZSVFQ&d6O@k8J6L*|40H8-vJqS4{2uQm?@vbK9lDHl`tOUChfDTL?4IxF3OPua z6_b&FaZ?IvUMSw+7^tbaCMdX*oL*3W>x8z&J5TaK@fZSxYaeJZMa81SG<`X_hh`^Z z*(7~Nm>|W{ffx)+nnTo=wOH z`9BfVUj@GhVE*P&oh6FI*j*QYQmC+(m>k$@+Ut)C`D?_+M=!4`J;|z^U@ZAah!?Z| z_`<2wM2T+hE|6d$uB0ofuzs>w{AfH?4kgn)r!I62)W~&pDHw5*?yca|4HtWX6^^NJ z0Prp?oF`q7Zh1Fn0_&%r9U0AU#D48Brn4ZVAfCnBDndu6snQ*!Fl{XWJ^eNvHbg!y z-*S?=iTG&$`!K z=&`L%b)1V*>Tm@Mu`M|7OnLO_I4A5Ei1E9CW#00whWIMn-<&ad%hhz29xT)Qc-pqA z53Cr>4%U?ny=~XbIKH_%VwUw1tjDB5R*6k}>?mpIyJ0htV7A0LUzw)6P1%~w3+dI^ zEuSCTFLmIlVZEfmDfSg zSOhG*7yjf4#o%F2t`|9e@CaDkj?ZIbGTz3&+L;=xwd#Xfsn)LI_ZFB1z|T|^dfR5# zFQ@Nk67x_$(XX~r>A3_<$6=&Lm$7ZqZP!`EvbQ0sQNjAw!=2(QQigLNyLyBjNh%7(2YCR9(Bqlru_;%t{3mqu}-vLhH8bTr*Me!^tK}!M4 z(niAyGv0x*p^s;HD`UgsZ0^Hbt`5l$K1ydwRc$08iI5Kda@3oA@2#B-Fd781xR`Hy zR=wt;qM{;c+$?Gp&Xxg_L>i~|tC(;&v()_Fc87N~SOru1tdTPx5Fl--qMJX3IWZ&% z;6anKmqpBSy!YQPKu?~+Tonx@@SRzAQn!BGi?t+sSGm>X?XCA(^oU{duI_`-H75_Y z?QO3M9PMGZ^d4@K+^89O|DI{rLMtVglch+pG2h-MKQHr=W9gvcdhXTccX6DIU#4W5 zU#v0+nS^Cio*v*(Vf8H&kFfw#5g(kC)pM>Q3N(vvzD`Qqjnv4!Z2T_IPv_FW6V`*Q zJB%MO4U7}wZkRu7px_IoIjVU6#)`4Fz91%ibHq7u4=fu`q^PJZiCV-p8Z1B=dx+qL zwzahtw@rXG4w(j3y4YFOb0UXqYDN|Y*A21YDJdx%x?ow;qRpz+cAvqw-hRi%V1u-JKtNaDK*6RmXUVN14%zh*KU}BByebl(7xF zVI?RuqLIAs-QJ4`$)37Gqhufo34B7*1p8g!JMPqqEUnlLJZFus80>Ur7)VND!Jo)n zZ;lSGy^*L2;Xanede0!Yd|uYKh@6J!Idsw`#)R(T$@FrRyulf$7|dKW%T zYk4&QDA;M2lfuW3@>{I{cHEq9RB`I2A|tX-fj9G{)YCBTF~8b&9yoGB+QYjPix0Qh z(Wj8V$|S&i>h1hqx8bKe{-@^-d9G^tpcqXKtugBZtFXm(^D~6R9c>BmF_CmL zv0sw#4F=6GiP%42NW1Fo($R+aRn9`(5?{d)s&E+46BkF7o}C?4UM^S$7Ezr~oC`@= zoz2XBhgwMgeczz<3Wy2t7nDGLC7Z5@mr;HV^va+E=hvi1rMms~k9X;i!}qz9_3NH6 zx*urCDssjZc4$Z->;2{wjF7zJ+UnBD1frPED*^=|I&irUR3$tjb%GfNr4v&#K} zFpXUmvuWWQ_fItFYtgm()m6^{S%@)IjSHg0j~YVC1E8iY)Ug7dUD@_-3Bg zIE*Fq3E8Ok!J=V;7PEfPRT)xra-P4`F?@zkn69(6yD+kqrw+E;%t!t@KQx+5@A~gB zBmh!O;{D|6x49POQS#CbESVqbUP=66BV>1Tsl@91nD?P4N@^xoSBpA?fc5XyLq&I{ z-ydAXf`g?;vkXm40@_XJ-2k&+TdMffd<3Y7%Z#ubNdFa5%oeeHNX!fKmgeF&o5=%( zo(>Ci-3l@+?xR!}F4kPhpG?qS(1EmO>qNn9=46Qcc-6+37EaI>PF=mTD`OKc7b4&>Kim*Vp*X`mHCj7cJ&87>N(?&WV0+NGX4l9cQjtAT2t4 zA?ybK#zr+e}3Emn3c$tN6Y1~vO+Gx737 zKh}SjoOiV8zDFwlwGP|b}=5k`T#nnT~94>OYMF)hJaX9}(|cydTE_Ol;8M5mYn5(!20AX+ z*BZpXGEJ)vBAwW`YWWTI%F^M%68yQ|Rz1b%Vf&6KM)_zNGqd#l0wMm7Af$*yEqQIN zzF56$eR-q*j^u8K*kR?~%99$x1+jnYX+{*=j4(q^8$5VG1hP-daV|1P(X;_xw~3vq zB@IS+#zDGcO~a5y0gNk{2#{?QJMbQ;;<$_1K8X$E3lEckRk_}b*P9)@9x1A6OkPZjm`K)ihsDt!NxIG6@}AZ3G8z7CcU zp}pfqZD}D(^q}k!4po5ved|D-v@JUZ`Z>yO-LArzLMx^x@qBRv3|tp@Ezb)5DjQ)h zub+VhKisW3WIZYTRUCI2yp|;v6)7d{za_F_-;N*KV{*{Y7B!!fE`i|MlPs4oK~8%w zMV>htRu?e6H@t}G=}=*W@z12=-!Ge+aVu1gv7k<`gRxgF4oa6RYbco%ITTegU?t=R zV#i;3LV&GeG%8$!jX86(SI({w8Z(Mq6tA%y>7;*fCQaUJc{>S+WAd5%dN~(khR(4Q zPHJ5<$56n6TX%YvytaU~w&m88G#5q>o3jR#$r)&!u`+!%MwB=AIg+gzmkrOaVQ+vu z{Fx?)Z1WlTM8Cwp=;Ax*18qcABN0U0372}M&B3~VhDDXHF8S&i0!js}q>lxFfu#FAfo3U(_ z2CD8#>GM_^=XW=}46qb5%Ysr~&0oQb;S11OZaH4lAD=3?WJLHrNLR3s zLAoy*%)|yUUS{O}4XTzIVLb>WYfkBvjRoq1RX(eQt3x zpq2n)Y6L-q{_E@WVF#h=j7dxEvS-aVbO)^~?!_!_5&Jh*`s}!!u>6|2`EhVJVW=0X z;n^hH)uYZtH9osEV1{YODW8a!Vl+j=ni5pQqFKgj$tpvEvFhJ&I|$|VZ76}4AKrh1 z?_0K{O~ohc_yxzzYIvSl*6Bd&f?n}xR-bQZW6K+H?+S+^Z*w1bLUzNkyv5Lq-MWRW zmJc7u&ZMS%zJh1!-t5E9#GM~{=~&)8(suq=Z1uXh_ST7dujL@Ux2U%RT^H!Y9MYRSb2Xk8_z$zCQ@mG}w`iDr^$L43VWeLIxn6uJ z#(DmhrF(;Zj$BMm6TV-We#`+~FhSt@=6qE3Gr_O}t8n41PzKqS ztK}!;lEq?79^ws^+PJqwH8@s_a*e|!HW2X_)u-Uql2YLB)R08VZV66YIownt(?l0ckkht zaJq-3Lm-rJ&W*%7%27AzA=z}W1ReX4OqHVbNo5Nek!Wr`*87S|5WurR1iobpVEO?L z4$f=P=7WCq4hx|~L>~ePJub@n2r<^(BJQ?eVlI}EGl;KB+fA{7YVVxD>Y`{3N7S*+ zEcQV)V%hO>qsj~2p6r4VQk;sNiW2#oZT6{-6KPByMJlIhJ^emU<`VnW7gEJ!5>DRN zFW>O5TiaQD*kAZ)=k(B5CoW<& zNFa$O2Sjm4%$e@%C&kBxJn*l-4QoAKTWK-U`zUnT>vkhoUwGH?j>?XtA&%q}3nCxX z43dg_>Uw=@X8oJVc=T4>ARbQM>$hOY{dlz#L@T9vi?=B_R!18~xK}PSYVKCQ32q65P?f%gg9S7LLfTcrdl&D?)>3dSq4r{CGeiS z^Wg1M7KR6V+xhSY9Kc-eS2jHXgE6qOwk+BVm)-zxoJsVnb_WSbMj;`g!X=_a8dMn5 z!d~KAeTTjr6_;%8ewsPTYi1Ot8SVqVwW7jTap&1cF|`?8{SqU@M{T-9E6609=f~h}RL=Ze90H(z(fEg47elvrr({^xnBAc0F0{gNe0#~!?Iq`Kp z5TTt~KJhTwV}?KF?x$;fgp+TkwL0u2V9tupC;7ddZA!!jcV$qC!g4fRDKqMqbZGVsW|arg6TxA-rnAK2m8Az zWo4QVgMy5}dtBg%oKk81`*-lclL-<2oJZ@tMULxNTXz8r=%ju_ZO!G{|sC;hlnUEIVRiF{L4OHf~T@s99!|oWYWU1bueCZ0DgD`b> z6dJSnj3Xw+f@0JT!J*^sqgy^Qa*+2yeZ)qK%*!&YTL;9H%m1@f>vS=MDK|X$d|K!|?Q8h^S-I)Cta|5^54;cjXvddo{ zg6w;@ft{ZfcWi9I?XF9wWv&>={VtjnhaP|iZ#)z-_CKN!?vV#ZL1Nr>UaB7NhH1p& z;kOw>T166bs*Yv9{TS_Ez7|8^>)OXbI0+_KS@E~~)ek!kuUBn4BiLW!gN_B3H;w3nECkW^)!Bl-v;1Vhw13pO7>V8R4A_;G&d@cp7enX&@amhTU*U(Os4(FlDy| zh(-3_xOFh6!W#@ljxQx#qCcv98Q$Nr7?j}iW>HKf(P*NKs>MHj5JWV*)kPpV)ix=` zhFw=F8i4ON<23h7zo`XLz`~Gi{D=8Uc{_sMcQ1^_ zBA#wD2V4v;1N1n!=ryVzBg98zF(`BWc2P~PCKxV>9UEg}KxNm-xg5_@%@b5;sMw_% zVn-8}#J2W4jsfYbXnB=U*R^G{RLX@i4PpJHPMxol38`_r^)45Gj!p^)h6s4z&fBXXzmC7kz@B6})gl4oKcVB^pk*y| zsWoMH^!XED=R08*|BtWtj;H$l|Hn&+q)^BvD|>`ORqKUDA}Se?9Wu_5 zy^doZvI|+qp2_N%WoG}b)BF8?y?XsVy}thy-EKXf*L6J~<31kO4cU$TwR*vV`6kmT z`9v?1X3MFgeVM3^DeZ@`^=b6Rs6!Q`$6Ult%$m>ZVXuSh7_KXxb6*>SF5n!d?}G=F zfyhlV)oQYqUSIk8;ze%Eg2fdB1&E0j*MaN5KXe~ZwDIpxQ)>THH1UeJSMT6r?({)6 zAO=Mn)Amb5?2lb99Yfhi_Z(NH@P#vr>k8}0MNU5F3NO1Zr&`uTUsz@F^2eyq2Jp=U zRj*?X9=fA*l`omU6;!eB5DzEOh6|{6#bv z2%C`?WN-G~=L_{nrioppr??L1svY<2_#kgGqDe*N9}|C1l#!w{m!biL!5&!yzue9L z$D84|V}FWNJLDfE#Va1+Gzz1>%zOx0mA6mcoo&{VkW*QPR|zDi%Z#PN z?Mf_sYIc305CioG;}W=a_^ZcTgt`L!fj6(jm)}BZX$pzXh6Zx6Yr+1M@1wfMWu|5)R|Jbog-Dq|kd4G-vd_VgoL$9T{pb35Bs`08b zO&W-jLs9Hni5Qec2A$@3?HWeLBjZUT{JK5wi|t*Id!uXsv>{T>fB8bEn1TpgIw?B( zmKFcme`L_VY8lu*V68RN1q}bmW3>rZ37_x6%U@59yB| z&!%@Ol&F%?9&a#5-C6*j$+&O*!&>=7>9w6nAC$zh&!f{?UD{WS_=#92hIqnY`ppSvB$L)uL@0pebeBI3{^K=+9+9;;l0Z%?UwoQsZ?b=XzL2@{ zUfqSQP|VfEn`2&COq*$o}Nl4hmgeoI}j0hDtRlXk~H_4Nh#ZS?n5erY<7`$bvwycLpov8sVkd<>Z($$h&#{y@26ljQG0E_=W2aj(OH7mhCTJ`R4e# z8@(!VWyrqClBqDRA6unwlKfX)YN~w-Q&FnO_ma@Xr&tIJdnkhcA`PQ8?z?FP{ayS^8JMZ zVd~a+)iNRJe@(wGc3}6zc4kce`9e z1>0K=44<~Bc=&7e&UMj480ny#ZXXLO z&3hUrV4_XIKV-hpxCl-}c*5O8tq7Qr`-wd9*&0oaPY&bIvMi6Pmqv!;IikJO^gCZj zNqJ(D@41&e9dYfGh&^6GaIwa-{2LFvPy>j_>f=iv4u98_etAx~040Hxl00SVi-HWK z*VS&E*z}-HR@~YYmsN#sHVPLjZ#}$tVMkqiSQcj|F(b@Ck^iO$z1lxLeECPO+EM2j%=8DBj){&Kl z;G}@3)fDG+u|uJsbt*i9jh)X?KKLwc+@U#+eY=+v5?M-V20W1pxMfKgbkjk&!1Xa4 zec-dCe9Nv(Xqd1i9!SBS*$YWd*oq2d=}}SXD*u~e;m1`_ESOILv(ImUWDpN+Vket$ zD+h_hyqu1RMq;*iW4rdppX+|O@N)5ivo&hs*@Og1LzE8QIuC>3Wp;$=@ z@Q^dSR>&B@eQYIunC^uIj)=v?T<2sjnS+IYqDIFU`7B&jQ|}=8Gd2WDVGgjI@l!NC z|B!xTufAg|0en*#d=^EXDPVLH*=IW_F!hH+)nr*05ogR>s(*dZK7R0^$t&M;tGY*jBlU%|Qz0=GR0(a{t;kgV171(t=G6Wt~}Li%G(uOMIGsAzINDL z=U1fMuyW0#ZOF3e8k>9sL;PS ze$Ev$d7w$Lq!RPiz zYDV4Kc#c=mMg<;PSMM+7Uu1YYR{kLB*7px*HUK9FyjPD&nq|J+Q(@v9Hg$`5>((uK z>D*P^p3f1u0$a)4?}rkD?Edj?gIq>Q9C38O$-#7I@I~2cM@L7Qixys!9$~2ozB@k( zyw)b{*MESkW+y|x)q`7Q0UN5hB4baoo)N|z15k72rSLgGk0JfJ>CG7&`zS{7+C}{7n+Jpuv&YB_?zC$TIm_(EP7I%9qSVX=+53UY z#++9ibLU*Aph$Wr#Icb`#nrnz!YU}EQFgQ2u?Y(CLgu`!9YKPX{VC)F^GyiJ%B=(1&FdR??|H@|#}W{jJw^K> zU(Nw$(aJCXK^~RTQ_#YR237l=7ROe6rq#mzj|nVOB;YYXBW5Oh_`Ug&8W0%HZ$voz zDV`%EYZtFCExm{5oV_e^T^84i<{P;V>=S`;f<1f?FMqR1jjHN9cZ8P+Y`q}NvDkC!q z_|W$^3HoLMGC{dAcu9QmE2jd3V$f|&r^SXZC3)3>x zJJWKEKIZ@VW6p%;li^LyFwKdm7N5&dZzAO|c#Yf|vpr;j z9-IZ&V6P;;dUbve+{es^zi0h@V@B_@E@gjz4F2}zjR9S4Anl4ea=02KoI2cmQO+s& z;o7m!YaB_4{a`-0BUl4+9)X0I<;xG@hOem~f|WsJ&9NXrRF4-ZHradL9%n3)L(VYXtNrt2pI za^Ny}eXETBjVYyZNrx*v2d2>K<;-xwvfYz!Sy3ysgNwsT<1)YWh8lv^ExvTMg#vQo zH-C0ZuaEc_-u3L@$@yrXlgb4ITbV)EQ>{%*QjP+)mj=-~Bj5^mWm8Advm~LK$^u$F zbo6hg(uf%VBt2?11hBm!%w)4%`;;;FL0M~hg&qo%ZE$h(flwt|Q%lS143%~7KU)HY z%|XhTjk99>9lGwSk+=S=u_H8+;&3AC!&!0_OWdz#kz{zwi!aFAqTh+Aaf=T9aFQ3? zYRuxqsxp4ZC!v|BN$j!vwEwP}ib|NwDxbyPOL%KydOAzZD}&H}Kt6`{pL#7wzteYj z1b-hf{o-Wr;^WQFH{c~WpwZb05MPUbJ&uN#FE#)jVFv6?Z7(4CP?^bSlpnawdp^-R z@-?`PT%lWPncu6nxv0V?35u?)94}2U_sK1cMx5rWe4m9j)>DDkzVF1#H|&N zJQC+-@6v^_@aHOgg_M(n(rG3Drg6l))1(@b--Gi2lm@f3a?c6Si##k&h>y38vX5RZ zZD)=JimMx!)dxfzB%!S$zWp2leK4bK^fd5GC}xyb#Mz9NF(BR_cJzu!EX3nwg-2e% zZ7;@(R44_?1yQlf=Yv(%NuSHPpvc2UX<|V^3Rw9UYG7L}gGc|w%ge(U0pipa)I#xl zUzjL!nwG$^VDeh(g3tha!mZn|*Bqig6f17Xt0NbYh2q)1B;+hIKq0;HCHUe?gQxUx zNj=sA1VZUy4UTJXeEQf{d+^j7gD@!CY4o{K#Ad8W+Z)o|0x4AvsAk{0dk0ag}52&Y6@|um>y!VktSjB zJ+t+K(Nt_y)QC1n1e+TKzD>_HsPS^4a?)v5p< zcxWeV*>7Tu`NjO-)zzcSX<)ymw1bW43$W*)SrryrvQb_piv^aVhK0-f%f*$2tQa^eX12mAIdb@% zLk(UVU&i7w0qT+?yhNdV+6?FpU8n3<`@O%M)@5=kBoC?PwRFfG?)#o9NNeg6L~dc9 zuWcp)AG1+3-JjZGvV%bu#i0ycX0@K9r9$;TGi7!`A&CwW8h*L~YzP(8j?y}qdh_Kb zG9i>Tdtje8&JA}<{5z6)jK)oh1~4084u0lt?;6Z%#ymrSRFJcDt(%wbyl0r^O%a|+ zgY%tYam|Owb4YY@*GDP!7~Q7kC`;}?@&v*;pa=ep8}6C=t!jSGeEK#lHjoy0P@?k+ zZ=~d1Z!WyFtzJz8rF61=3S0YB;W`vb&M*hq_OdY1>(@b0cj%NaEZFYgD;}8zJ7j-X zH9s7$Mvy2#u;q6O)^<%=wLr%&JB%!Y-i{6+yzoOFD`VeOLD*@b6k2QBhsk`p`dw5hZovf7iEEN@UAvZ|~2|NR(0>GsL zOnE>2KYx+Waj#e}6L?*5)mCMb2DdcA*%%aA@`9TSsh%9z=t3lNiK??JH~Q5Fk(iid zhCerCLDj%H=d@PuYx|pX?n43DD{exAk}nz(E?+fLp6zDJ{K&g<))T_Q+Uj5_+c+z1am5u zI2d&`zGpF(<@kG;M94z@a0OWi*gHN|d%hOX4dH97mFijY5ICT>wPd#S#t9w`=INtd z<3sz9>=ekJytp3o$1_BdAl$-7)P`e?+h*SnVh8R8+d!)|nsw-tu}UWQ9XeYvzPr%M z^?==4^oAj*e|0M0!FJzs{YIm*okn+8AA`zyzdt(3APn1^5IVXgDVDf++ceC<+Fr;e zpzlMPd474hu0gRmycnTyi~J34(;;8OY-`_#1v71@0TOa*F!74}-r=I0bAE(?X_X6V zM%Tw_3uaVmU+Mi~&-7uijINKOAk7T|C=c)zOAT0+W$B->l2$U&_DR4iZvkb{SVDbv z9AcnqyQ2dp;p|?p{zn!4-$(`nBhyGy6opc9e-mC)kb}xE@=(CtOK+6I==0iH$lWjL z8D!nc`X#-eKPx*r<`*_0s0&d#v5w8a z@?k3ck&&q>qeOA;Sf50cR8+&^ywFYzeY{(Skj%SwP_wNY2D{MLNzK2}&CYR5*VCWk z01y%x@YoJcinSmd&9

YR&bmcC%|5pxv3Mh(!gn2jGkPRY`GianH9?CgXSWF!j>p zT{zdz;=>~ckNKLtg%FlvslihgwB%X13bB%#x@3(dNimVr2j>BP=)5Rvf1{97oDrZR zwPR?Fz-gCp=#9;g5RM-R>cpLx=D}uEYc@I=qABFAX!JYQ^gs5jr5e=PHv=0X7yoW( zg6t^l3cULcTRji}kGc#Grmmi&PUXgfQHc#L%$O$aIY~EeoovSy zwORse2rS2%?&WLR-&Ca~zhV}6v|VQNDdv&P6mXkcn>k6H`DK~Gm)QMNQxEe!{AU@a zqqDQKOPS}NM>@`5Cs+3ec)^YoP<<4UJJ@TenBmJL2ISJ(8k)LaOtr#wUj4wVGpG`> z{E^(Uklm4?+=)|odr+y}@w-N_2b2wBV!V{8kJ);xpb#|4vPxT6kL*EPw_o7l;VB*7 z?@y?=$&bQ48vd#?ZsMR{t|%aNv9JcYdQ)2p$Kfjge;|d`aGaI?#p%;eou8EATfZ~@ zRs6xReTKCYtIJK$HwNHvMX$9s*9~bYmhC3FjxgkuIb6?$Jkko87XSwXxdiy6<$7vP%M1Hko2% zX4;A$m;nnwFxVL~aUMN)k0sz|1}4Iwq6X+~m6{>5W|`pl#Z{rKel;ukR`$KPy3KBe zbrhG_8bDA=gYxmgIxR=waz$nWTF*T^^gXI3UJ$hCNOB!}qMMa^`o{)&l}Fuc4$B|w z=g3yY&G-R^==okX-IC60l@)ybxv;XcJoD$(oq7pwtpfuQ&uYQ zBRtTG0(i${YB=#4(9Fxmq9fmaMpWi2FF`s#*W`t1l67Nt?g2|D;@t`r4{t4`|B&p# z=8r0`F0%7U@}61tB7iiJ;E-UXz#qC5BysnFZ z80+Bp5coCiw;qwhk<)&=?>2wJTp&78fLx|Bd< z(%%-rFb`n3td)^c_N^8R5QLmy>LyHD?l0Qpjle8{>7z9-*LBS97_Zs%$?>idpOxld zW~7ue{B$n-%4DX%)e6xOfPGD5^h%Z8&o-FNdw+%QyL%z~vPs!|wV~feV>@PtUdlY! zG$JA*)`2d!u>wAhR(tfQ6cb5&3M0V2%{7|~=E=}`e|^C{=7^I@rg>`Fw%NN&6MdkF)=Z{ zr7xWBShGSFy_O3rJIZ@x`Jk=ptua36}Qkf`Uw%ilVKZrtvPiSx>QBV-~ZNmM?*Ai5>*)Pj(AdDndCd#r1sP*6UI zN_LvOYPMQ?UwDLCV!9<;Y+Oh53-9wJkDAce6Mo`&d#-AOtM12K+GWWCo!x>BZZ_rY!XXNJg?;KD{;DV-Gn)ip!RykX-ec#Kgl04)HryW?9WA4&OBte0G{Nrn%;Qc6>s*eHBoa% z{E@sXnO0OL_x!!D`m8s5If4Ep%mk9`Vx*#huv7Jey_0e3AblYVjA0@tGQtz)qF6nO z%?C_;Jh|TgqDx4m1M7W#w#)3d*84dr==H82B!875SrFr9AOR69UV6O_3r4sv(HCg} zQi7cxRx=l)!EyaMcG5~`*$%|PpXz+BxQPn-p&Ru-$QdS*2M8~wWh)3479oR#7ZX!c z;b%MmIQfi_Anf7Z4rpRO;sIVf=~7lE%8=d9Yi2E=eakg=BA}fmyQq;H7>hj*Y3sie zNt;gRn0M+kU?m+mQKj(!uk0jla6bf?nUiLu-0|b(tl_?Q?*yT6NU{FiyTVHdsENs{ z|DYi)Tsrr3S!QPDy>=CBqsX|bpeeV~d;*x4(6?20OT&-sJh3mRY@^)8oL_q~P+SKR z4yDqd<9N_~aUfM4pcy|k!_@%nq`jl_0}*lTE4E_uM&R9V;QulRJGcF2&Wa5bXfLzk-iDOONOoo6o1c825*aoX8-0SD(w-|Nvo{`2 z*fk6m~!Gz73KMKD?f`k40$16@?L?T$LvisqC&M&pI8;V8FbF;Cj z`Q`3?9d*eDn>7niiY^{tXT>uGXO!p(U8xJ> z1_W%H(`ZBhWTu4pdE+^C;ki@ zJ_oCn@G1!3y9j-v!m_gdNdI4rt_8q6;omx+jih-m(D@eoAMA`qCxQZKlo8&?I)eAi z@0Z_np1O5#2oQ%oJH@Qy5f|Z=N4fbvBL)urXNT@;o~CZjJf8gg>?|WaWAs#7&CHWT z@~|YJKuz7<9#DbEDd_lBr!84hOYq0X-*ad}{+o0m@jb|1FJ6i;|9udHu28cQO85#r zM6nu~&y4DzoiK#1hTT)apLj(R_m??u-0%|BEnlnyMf%VW;HSu$v_Ly0kq@RmYNNa4%1BRNrr(B& zLm1Fu)#3E@{Swhryp~dHfF`TlEy&A@nagIA+#Qgp_M3znmwgS3No`O@StSvdo94I2 zYDs;P#gcNrrI6^Enlj(pOh0j2&yNF1pmX)6bG|xx?|HyNrq za%@s)VmoiM0gXCWe0-@q>WJe{3iS^yc!^wB`0wNVTHc&uD;f1S1Nx$borOU4U-`Z{ zOi_}au(QjU4U`34FN728gI*9eiPgDbHE+By2z2cP)?_xk_oQ9FFR!HJ?#AY3^HcRT zsn^SP01!)557rr*x;K7h3O{P&@&dW3lI%&wPKD0!dfaMN1&{itGG z>`8a#ds2N6_`UJ0gkJ?H{e3aOjX0uiy_gCHB5-kaeEIT@+!mm?!O)rls5vX`+fhzV z?*q*%PK9q$PGyHSZB05vJFZV*JSV`=C5L8n!FLFO+brI5l+_??+zDiM-vh=)r}l3L z9^nS^waZ1db8EHh@xa9DYqXdH=QO(p>W%enA1P%MbB9`0@^PH!Eq-{!y87S{dB5wI zh+g-y4Xu(O?8H;7V*7|ZE0mCUKN(>bY`KQ5Q34}zlG+*0`?h4yJ+U|Tf3@dj+u9gC za!zeGLCs1B`Y+YJGTsYd-$eOaL1qPo)v=Wv#*jI2Mkb~?U6!i@cH!*4zKuuUcoua4 zfRg>W4Giy~pXiH@Li4=s%7hb%e~(Q~^&i1z@lY5T8gk>Y_FKT53AlMnJ|p|_kDmks z!MF=2{eq)|UF{_*Xa>YYV_|M?WHY$&9Y93_OV^e2{ctgHah#nALJ9bEwYCp>Avlrn zk=9WK_1suog--dVr;H5{3yZNKSX2Q=McyC-=;@uRBBs!k)p-Ag1tQ2!BL zg$aT~m=f-sD*1PB-ttVo`FIfl#`1^_)m=-4k1KcCoBtp}N_Eka21P_CrJW&cZ1bGN z_*PE%ZGJ{0-bL>JhzfK%qgce0Azh9@w4%cYmJDLexTr{c@r_`#DxXPQLPFG)bkw?2+bmaWP|Vh zi#|VR!q}a!uO0OfSo)M1obv@3xKpCWq-nmg*9;he^rAjkS4)y}>rj9^<#t9%Q(31| zTnXxx4sK~F24GZL$6GmaY5=XS4KZ_+Rw;}|4)^ogSU+o=P+LN74t_{RcWw#NJJbRe zT4^zRuxp_yv$14+w&|*;;kPphykb~1tVOXtO+z;RB51@`_dV8boq?Yl!Lte$hNWPy4jL$=#P2ZtEYY~gv@xrGJLR_?n1(-V0m z^OY+Ug|bMtJLLJ)G&Jg<3xzw=(aF0nwrnQDjBYhdR!dhl!YbXp48jPkR*|hXh6g$L z*$j&K30%pfxA)y3zG{~!u&s6M4tD!XnB>ySEyTKHJ6P9uDliE(y&H{BQOn#wh|v$jFINhj4t zOhEGdaem1CltA;ilxc3@g?N|57KCo|LUbH%=FNX#$dI<3PlcU$$CPZ2f>%4Nl4Gc-UzdOs%F{K_A{6IN!BG+UcZ zY%csQa(KjzH!^(sTAbYQ(UjiHEoz6YK8)Fl!4-90i zH@@^fKcFQf=3)F)kw2K2qc|?*I>c-nIrSI?Gx`9A_q+puTjcTGmKoI9vjHV0j73R2 z7ho$G7kY*aVmmoy++K5VBK|ztBM}aIiSi@jD!IRM8t@%b5QJk4CyZ+EBWAAG0+y z4+gh^$4JWK#uxQi8aqcnZD8OL7KpI8XvQAxTlXeK-sxc@9UkHrP9Ow+>Hg6jT;r2O z1Iqk2YmsJDfDabo;6kV++w;)fymFzl%S@0iD2qdq^ZzHcKRj8%c)Obprmi34_ZQ^# z!^q=rsctyY3A+n(spZ6mW-FejGpD-Uf0}^lc34};_-&2B_sT?4Zhrg92HdVwRO zHb|bB^%7fRbV!K1SO3ju!Z4#W_@{V*@v{5m2xCO$uHgDcuCBh08gJZ^o_{yAb<{WA zf9H6$Cw?`!yRu%6ME(>3#gkKnG%2T^mb7wp{lx!;_0(zn&xsV@RUS}pmwkV?m9{_H zg=00$bC1@~4(>v*oEIRJ_S)dYtxvMgW-UVOpd?6L1p&wUpsna?lyOVU4ML}-kD{D} zSbO#g;aBWlByX3e1lo6xyyjoJU!~D&?qKRi&$GmRx$jXBK|px!^@oAE5~>iU8w8~p z_5N)NPB!1(+s!0yen05UE^vKDsOj^GZ(uWo>Ur+K7tZ^gZzr!Q{^zm(`=tMQ=%81Z zte|juzux0I(^c$3w7Fx@mKg|ez`2WoKZ9RIMylVt z_u3RtPp$wte$lfSzMYi&9gO7bU^)4zl9ZSj4G4`yzma#U zrg{#4{eekG44?GhxwUVtql zn7K=woIk%^(1>H!$x$L3G8M@w{q|OxFzxYIQg1+|MYyP|Yy**-N&WX{LLb58qW*Im z>BqSAUrI{KH^80lu`mS+NvT3#+H&k>kDQPX9D~8cXguOHaRaEFAD*BCZMboAO3M6{ z?|K}tYfBm%K6=^YKBl^Qx$U(tVVkng8{w5_mzzqo6EAyL(~46nz;GmYkZt#!s!WIv zvT&TuON`7nIWAc*&IWH#s~H<(9&rp7W$#~lKUQ$Z`ty&Y_X>a7en~2M3JDdMd)VJ^ zehos9pad&^?;ag?iFH8SgmOf4NoguHWLa$PLeOSTAdlIBSCW{v1aB%c6})rt|FV@^+nWsGw6H{YK?zJiPR z#@<#v2YZPQV!fpblM?0G@9BxAd~Qbdf}HWLeO^zE!E9_y|Jco-M4A_IhDEO1S?B&f zr2qNc@H=SB^@P>QR@U^{Z?6C&z&-y!Z{V-$uv8oyQ&vO3H6MXsC){k46%gyNc`BT` z@uU7=Ef(}RUCB~Z3L}SJUnZ*EHoC6&e2fa%VyB~{6FGxmCvmF@VLO*1cj7c9=`wS% zf3#FXFzrCoY3%N*xU!MS_|Jq=iE|WBEWcxra`#KNjbOx(bDQ*aIRxJ*$_Ip z>I_DaOq{}zG;NU&aY7Q*m~wd@&ptobT%Q+WdBRL~#nR|J5fMpO&<7Oc)h?ao2v~ai z*CVoYOtQIciIEIB?>Vw3>~8Q{8u<>WK}cJ8pB8=<;tgL`A^QCZ|MLbxO<)fSN_Nu+ ze~U5K2%dk~*lcHwqbRW47U&p+*S?9rF}K)6=BJ-aXi47*hVmH4N|ga5oRgE#lBbUY zSLQvGGI-}#Z7EQQ0fvGX2)IH=aK-? z)^01zet(TMF2jSWK%YQ_^8(p>?fZ5Sm#GcgwzCNS?}?GO1S@S|bnw}M?e9Y*NSUZc zh_uMl&ligxR2RD=rMiCf(T;7Tw^gq5S(-(X9>j-;x>2G${WH9h?gsgK;mhY(PT^Qq zNKPaewA5gyqq2W=oUPccLLng|BXH)-nSLzRT1Q7hTwLwis}u)B!y!6$zn@mDTO0nUZWi66_h)bK#a-Hm5BUxho^y$=rcCSgBTz zFpD*nxHPy@=w2;-ouTyt646%JWTD4K9b~{sQQLHDGvrOI(K8>kfI+tvN`Bsn{FH<(n)9v(W_Dj~ZUmqJ$8f_-`sbib@)_!eLiM(Rrv3$u@n{yX58ySe>H7mY*+5N` z1}3K%6IntD@iSpN$b{-x@ye_Dre~dj!}b|NfDE3SWjU#;Ta;OU{qp5G>A|{gA3p&S z>;wM-Xhla=iTzo$v;VS5=z%GrrO$aC6^CU_yIdrMKOy35>%TfJXbiKt`< zT|+($*cgSLjY=MfQG~K08C#TzqdpA`xR{0n1SY-FFN(Rl8gKOSll&ktkD%siJl%~` z)c-3Ne#^VJ)J`e<+NR%5U_U1Xbr6RC2-6Vz;zwr_iND;{5_g`30J#uYb%V<2%U&K5 z-*)LKHatp%ABP$TGHrV)h5OP+JOlE))hZ(49QfFkRaEZpu1zX$xqodT-KBW6E$%p! zSdF^LpL9xN`lO=RUo+r%GrfIsv7o@H^fo{;BhHL||L&q5Rstpw?g2A`v+Nih|6qn$ zo#)DkW&Z;Q%3;5Yd?eDYbI&IL8W>tZ(|`e}tMWDEv&U}KAv07G(~}=D2Pol{md4^v zob~hzqMT=z`8THc_=XPQ_)3K}nvOtMmtCD=h^I{k@}e1~3L$HAUs79~*-TLPRw}0q zBXV#`{uH4DHCSI!ru*xl{kO^j%N7M{l!YJU9DaWE}#|HDbNgW15oFK76+9m=7^MLPxW|Fo!VFS zmPs@rql!@oA}DkVp{wbzE0Q|a&kVi10|thg_Y)L_aw{ib@ zXFy@aN=1)V!o|p6Ayeq#)%0Q`^-hMYHA`_5j(0i`;`|#L#;qGw0eZikvH$(?I}P}R zr^bXbf6I@mw_!$@iGBit)!U-C9^cGRIeMA$iovM42g1pW#Q$n!?ISn~s0B%eB4eboXiL@msjgMQ#m{8ah74 z3!N7OzMsKIbL*xOz?IY8ON>-vff^yLeE<|@jpM55T~6~|dkxB>vFG`yOG%y*SRAc( zx-5JRd!oigg0<&6*-Jk$2DfZM8t`Jvdpk$G3r_2$G^Dy(a|H+(x*?;cYH1 zt~)u|1Dp04$*a~zf9_MY#;DO zzY&YksAlgndro-u^`pK(8V?7x13Kng*JiUYf{Xz?Jo&NFRAEHc>7JYvCNoPa)c^Nn z2AP7q$DiO8HuAsK260n|s*0cB08JIdr1mY0g#Wafx!7B|qdeE-y}U=&C1lW0_C%#d zV@g%KiY#{cgL{D=$*MxI=Zv zPD+1%(rX$XVl-w3k@mrW2)ZC4Fwrk)1^qaGYwKo@%wqhYE>cfwqeS&G3VK zl1#R*`0&dh4|<>8T#d(boQWFiKEt)IuB`w*%H1o~OXkv3;T(-CnI+!NO5Ky7C|ewZ zP=)+&763Zr$+^T2TU*&w!KvXdnu+7?@=r8aRHQz-_e1TGeT6G|__>yXy9ISR2*#Z~ zGymM%|F_bN<^vV>e1{gr*}rR_4+Wsl`26ykv$P#sqG$Qd=}nF8va;p^puKy_TX@fG zGa@^zYdkgmph<_cX-gHBgeiJFhc^@d>509o#Fn%l6EED}2z0ekaNo7`qu+yMQcJ6Ad4zt~-(&waS3HG#M zK2ldfnf}==o+iwgwzTxME@`-sAgS6rhjO1|9UP})k#LVC^-@n^4~tNwR@H0bzoXt? z#Y~y^FAkv7&0r27k;Z{~Col>U-h zPtsghZg>a!oDg~6s!opgysp)u%ZV)A%6LwHecD~&tB>SgzC5GOie_85N^|#iX~!4( zAGC4pe=hcRNLWcanH_DP{@op@#(tGMO9#=2@}4WWMDOYuj>JxrG3k9f_734D*+5x-}5SzZlWjc zL0I6=v$KM>?OL8gYp^j4Ugrz?xrpz}iY)ulls5P=_L z)-7q^HLs>q;5zdiOWcQDyYwKkK(Vh4_2nnbCJOI&9PB6SbR7~JxQCQMLtz9Zh`ki7 zeg!SZMTHf#VxQ4UioA0oQ`)x|&O1meKGZ^J)tD@hS8srFd3ELwQEr6-U<6FvUB4C6 z!epoKz{*eYzUw4uJZD!}SS7Mz($1L-kO-d?t(K=zUTk&<@*AiMZWZOs*hV`)}9m4T3|}7=q9;^?*f0 zMwLnO%==qaVlFcRoacS-P=wAm+LnbpWfc~uGqCu2lY^@@+m+%vL22VG)r(hch12Uo z2^+9*%ID7fGNS*BOrWObR2AT=w0S(O4ad9q`&A{1_DjSnCwb?CXnKlY6Unn$kU}&s zbbjv@A+=bEW)q;$<>3koi|iPfyE_qcbS%34z#BoBH*PIxB{gpY=GXqYut<~xg~jHB z_SE0{hE3KdBu>n|8;3L@Fz@z}MdBED(|Y{X_?uq>|M&wGTE^7~ox z4fRUu{+v^{VR7BY%j(6SKW24IOdQwxB2C9KoCJB;EqrjC*SkS?FiU6&v^{NXkep8g zVKndkK?R#Y&LENKBX#m)&kyIWQLBw4vh=aax#k2ab~TNIGdku;bf-rNI9rO zEKNke9=4>cNbFq zT;KUk|3=%N-(EExfPY)YeV2Ya0BMA_v_bx=^afKLgWJP1=Y_S~%Z-Hf0*# zl=vvTkGijU<2~(@Rh?nKEH&=ARu9U}ekxT%3S`yk2|9Xb512wtzH` zCR8%D$~_EEwrv1zGNs(}U<}+L@@*^XIum|&?<4A3mzk#p<`^hmg4c0Y_WNmXAm_f5 zlQXb728UEmyEK#Ygza~G)myjq-Ink&m1;#WJ3fAFgz8Mx>U#`Gz8pr!QX&3OR!F;( zu1Y))o6+*Z!F}(}c3NMaSLtAgSm^u*E(!ud(L1bEbP0Vk4`&&XOf5}IlEQejt*xj1 z^OsHP+!JoQ=)0O?7@NDPX9iOu?D&h=|J3;C0Jtfhik$Yha*5{lmkG7F3$EXvzg-S6 zmOR6#c_lC48FdicP{_~WQV}+~flyhGHzRy;=Ob>mr!55LQ_-3HQ0(f(qyDHf1e=_~ zv>>N3?H#QLTBP}Hs7dk5W-64sFYvc0ZtC zxKrzkvj#RsF7Y|>VN>>Qy_o$m0My-=1r>8Z>Sz7Mkq|1|xnvEB8}@l#l@3`LsKn6OSF~51ZwfHhHRR z9_<6UIlPa}%8Y4^9MV+~0fV?|WJ23<#d&8!-@($bXO~M6zEJmGI$OVnw!C z?uQf11f3C;_35r4Y1lg)AD3@>^!^Ve7L1gYq@3gCZwL&3;;E}8MC@G$ zr(<%$25y(6F3p?!P8FvU3CadllQg-DjgdQndmuJILC8V4NMj!H>eWa5)mYvDm52y7 z0)qu6yr%s(N~8QCF$goiAFZ?zZV5CFxLMuw{WlZ-yOTOVwICxSqil-y-F@h`nwMWB z+HF2w$$joEzU-uH90qr6K`gvXfqWSKND9v=f8O@0n`KgdjO zgbTbR*zy`(l`++crhFTJ!y;22eBm_Vj@4{S)!3zDVWAcH+Mml9#UfXfk`1hT+0PDp z!(?ri#!?~Sz3z26+A0?Aj%WWPp$$%?NmRN@+4q%q^%$XKvE$N?IPl-Cofg-6Ace@5 z-7><9bv_$Okt1c@)j#3OhRjwNz>txvGV9(^lu_`hy3v8_Khj$-hv4+Ar99@6idaYl zEt5tBoFgeU+4nNH++~HbW(3Qh_ixPiSM9U+4|wL=-6H|zc=TCt>=sUhh%4MilsKt$ z?YXue{C{j+bx@Sw*B4x536Ty7m+nSVLb{P&IwV9w8WD-5rMttRL0v*x=`N*H1nE>M z1%dZ2==WFejKeVg!|r{~J@JY22t4JpaFOe{o2=)WsKifEq{n5c%%Vr&K;*A!CvA4~ z->&bUUqhroLrS~FXCM4eiKJixfX3;l@Vh)h#B2D8K{4*@fp7h|tKj_+EsfRpKgW7W z1R`~c>E~M6)f6J%=J*}k?NN}E^E4|fE2FHduHf|uH)$up7q=Aw=)(gcF5k6HuUVHc z)G~ZR+-qu?XR)5lKEQCW947hOqU?2bwO*CcWCRI23KZIhd(zCX8W}Gv3c$y$4sln}*l6P8iDKfJd1a zWESJY8<-8)6uF83Gcy9ikBlsgYIip$$*1MRq`^>(-YL55HT}y0N+xvA=qQbzr9_4 zqg&*W=I6Np9**7WB#gT-M|AB(8D(P6d!fgN&pZi7@GR+Nx~xU{XoNyZ1MRwy&j~|A zs)Eu)H@V*uCkHPcYyK~#vILfESp2F;Ec;hKX_eOet(ms2XjtkYGwG?4GkWQ?`LM?V zB*o$z%`L8Ed=B_~gAKjL`MlllKMAoUyRcAND0$-i4sB7#MU>z+QIIzqIaf@tjrDdP zKCKIE{Ju=5i@-lanHcj)L_tn21pJo?Y6CZF8ApDVfJZOe_7z}Ke@lT#A8ApEtpNtk zuNm>VEkrJl>YH;p$&_UpOedH*Jqx+X3jIy0oViq(vW3gn^%_I z4OBcXi4ode{=h?!k(5C}@p~AC#buGXo0<{2$uEL&-#e~(vYSH0d(B0}V?Q0fpO+Bz z;`tQ>s@W9bXp>Qhl5$u}kaBqZElsu{^y~QUQ7S6}9;wVf^(IGy8>>C(6YGYo_~=(V&9tFa6```MZ8C1` z879t5FFNeLskvS!^Q&Z^wYXdx@^-hHI+*aroNi0f_obZcUIKyV5IO(^!aQg5(s4^| z$L=n}1n)S@7BFFcCEdLM1Kk8bOMU}~B_1y2i&jw8DDmdj|F#hU`e3Hp>s2RU{--gA zGXOY{6w3kay1j9WsAsXexF&6y>2XB?W&S%~W@#k)v50vwJ{%ie(8J1L8QX5IN;{>- z?@ijSef1h z!Qoi#tw9P_u8rJyfkXOb?dH+E2zYmRyI^tkvdd}Fzi`XH56m?g^oquF6pQ~FLL(Jn zWy5z5OWosy5u9{O=;SwP;b;zgD#21QM9qvGT|z9Ft$^{oq(3EY5rxW)DEh%O3?Ipn zr(E@sh2q1N(MRI3D5yoO+bzHxL;9@vTt9<+Ga9FFl|3P$LUhkM>^WgrdaSZgF-Fh- zLi-3~29S-&yh76c$>q&-_`*Iv7%3?3u&vg6CE~df{3IQY0|8@KW55n^%?;2d9MHqwu3r?<*NWU_wSX6<-?D&@*C4QHH^a5k2ykE7`18>RZXy8gV{-+28j3Gc(T{>NfQc zEQPW5T|B`SpXW98t{^%XdBnx@XIr_tzvS;H$dHL8Wx~UvqTQKQjdiG^u-XE9#Z?=^ z*Y~SLPZ|CVr}|UTU^4*1vd$FV`&a&!V{$%R(nunjEKgE5zs~+hkDF;a50G726vma^ zpLm{1;ID}vxUEm0>n2Os`a6h##x_<3(zkDkT2`uAH)M`F}-Y9~rddG`IRmN;=*$-(_+@P;7u#JeJ4 z7@{OPby%fDAn~0cY@Er@-{AjCB!~_eAWC_Q_?Z4V^lm;xA01CJsq5O~)-8ai$9;^u zhQ$MJ+e@6g?Eo0Hz?-f}rQ zR#ghIxUCQ7E_H+I-|tP$XugBTX8_|7;mylQ2W`cNwLStyS`>z4 z%=o3aZ<1dw_Wr*ERyz2w97Mzv|EeDxXaI6hx$-`sAgVraI|8d^fA}4F*}LrhIE?-K z&04fySkY^Py&pEXvcZQHS4KVYaUpj!%pdY`v|SBT&FGrCV&gRdcdGzR|X5a4?J56$d@Kzya z9C?y1#YYP_**j6g=G?~ZL<1oTOT~g=_bt!$oKAv4>Wqef7SgC_{?Jtxa7eNy?Oa&x z;Fk!}7?B&fO**|-OBwPoES0H9b?C}_ORj4fR`*Xu^ZoO<{@f8M7$-Uu4EM6ke-jK0 z=?#U0ix!w90()c3p4e*99-D|^YBVX1}H{u0lUGQX;k_Ww)3Qs9NNtqGbhuKzRp za`2*_O(PnHfH+9D(+(-v2z1&26*$7doiwF5#DW>`G%-u`*xjKTw4W6Z+g7cY>&5P0 z1~o^p6aydE{e?tj*f@b2f3cS8Mp7ctSF**>gI^KRMf;G}m-!$2?}n`nqQF=_X0NqOl<>GFNCPpBA~? zfWW?xpsQ=bzXI66{zRSit?_d5w`craP~5}qD znze1CiLS9?V&ICf2&q{uBmZ-j2r9Y&C`Xv!D=Fzu(n#lXKN0_9GD2__^-Lyy`(f!g zCe)MMy2qU)NCw49!9s&BiJ@hRRsg|Il|#K55XZ#ts@V8ODh3E7L_$+v&|X1MU;&D} z=jWQpR~k~mMI_$d9Z5mgX^&iu2$d2`R;D0BhJtp>Jsnr4SoZgrknS`2=X~N;6l# z*8=s>&ufGd5Eu_Lx_T+K{)5Ng?wtFyOYB|Y(4*m33heV1#U^^a!@nS zA<=*G!iO0P2m{x3^wFqVQrsVCsK`h)1Pm};VQ1swZ~4WY z?U*OWm|y*1P@Cv$`4cNwj%m+zs)jFY4-jdd_%c*0=wCmv1@go?QCa*gig7cj25|qA ztrf#;I=(|&uTdV|BwKW;WZ9r2)`VSv6cZE%>4V61f{f9qYVPne$$e*@(YD?X1~Q~K zvzyRiQY%uoMp1jFuz$~VM_$7U9N`DTv<%$Ls)Qg=sYg`t4($<>F6l9TL^1l4=AI%q=PtcCfViI4hAX%V49e zN{5$uV_~)q^Dca63nTt-oAkv6eZg-TGTxw|712Bz*%EPujwkj}C3C9+bmf^Nog&Dg zDwhSa0`mS!A;s27qPyo-!iUPHnAZ|;w|pht`m%N3i%#tdBqb1~iVMcXV~vN0;jYI5 zDbWp@LV__6Ok7>xDQz?hOK~(0H+FNpjqKGFz>{!Mx}2#|D0?OrSgfpj8rI-VQb1xGS!T#yscq4-J`)4p$d zUj{-Geg*O7YAjp%png9zFUI(aqEmMAl~$wy!6yLBccY=l7i%&?#Q@xMVpXK!8x=IE znVuCc3Yo}F zVZE^{jQ95*UVK1v8}y!F^YQB(WWnY;YXqTn&mO;xf%W_N$hZH!Xl}AKGOJrU=pYgbh#by+VLOo0uVDB+F~iof(kSIgQMl$ zJhyYMy(6Y#`d`nwub~B7Og--hZE>?Dez+_U(f!oncyFZx^W-^PCK4+g($AZ1-AHzW zHz;val+{URCrhc;MY#M8*~>%KLq9ayS zV6t}Dj|zV01NT=LRVq6Vh$^lA*~ZP7KbESkdXu@_lU3g=XYp?@aq)3z2^E*IR~UKI z+~%3&uUT8V!^UNA_K-(paRBnH$B~xh@8e1Vw-cF9H`KUJC)+HLvR2!Te5Z-}V{w}hutX`!C{2yKSk7|c?38WW3cQnA zuA?PQibID;?Y05I1ETN0h>nLZkN5J)Bc9U6J(A{G{lK8Y2>J+(JHHtLxFUi=oA4aa zY5zVEWEEtX05SIVCuMPQlX`@TeTpF5h8qr$CT!1517YyjE&gQjymzN9xI@j(_-X0j z8m9kp2DJV+7-HQnJ*}491CO7}vR4U+Ewl=^U%pgMoR)Yn+Xk96Y5VqF?t?F_SpOkU zc?Oxabcp6TlA=I(pjirJ$Wd zsN#y~Cqfp}mu^&3com>91W7Dt|j>y$;NQ+ooSU6$Gs7!!Q>b3v~-Lq{wuXL zN4^{oWX;!)55pVI^cK#w#WQ5@8I1+Ee z$%;M;oVV1WxDF`^Wz(*=n(^O>47U)Rmirro^uH>Sm`(HCk_ic19$$b)U-`y8*`0|S<-^o%t zHhvj9N49!?{vbnBdtX6Aj{x5LTWSd#9YFb}I1 z$2wcmJCjGup8`8R@HfSDP?gnbiBoPR{ac!N3m}BAe41PjcG-9YX?W?dCnt9%`m};$&*s`ogeP23aXzLt88Eri=Wk zh4|gVXxUo3FJ1RPa=U652I;UKj?W>8;GOII<^@ooYqV29MyF?lx?Gl~Yv?AJG|B48 zqFT2~h31$Yw{Hx7%v8be<^ob^v*i2!XZ}(4G1+x**5wV{mi=j?^DtULj$ncQL1#D@ zBB@iU+pppEf)0G*_*6@)S~Wjy)>788djkl&GaN zS8N&Llql81X#hXO-sb-cKOm*h^&p-b-6I>Bt;~e-_V5D&#xq0CXwF-5kQAw~P-8j( zY>_ZZOft3wg;`pR-L_ZY2{z}2T_6co&#rJ;7@!Xb>@nd3dVpws{V5j{E<5KVfKOcX zh4`TZnH)lZW-?_0pov|(ITH$GV#O@~){I7>{j&UL8#7QhYr3S#FzC@dAjlmen@_%o z#=oUvm?40iL;PNw?_7C|a7f2JtJh#surEsg+dmL}^0^ov^T#BsDX-q9xi0FvROE_X*_C)hl4YjmO^xngr0SKslXO>Y9{>GjE9x*4g2^8#u@ti%n}q``{n0$Gnbxm9%M1iwzg zN1T0!{RE`Vi^2F~v_Wm|2k1W{P#~>cEv52Pqw2%tFf323tiIKT_mTIT>AX10bx4Gi z&WtGlj$w{2x#c#{Vjs0@VG;iAM#10kfn-@CUoP^o;*8loa*Z7n;N@c>dUdsYP0Z6@ zM6Uo@3-BvWE;ISRT7Q@tIv5EUUM =69O76etPn*%KjM7bu5Hg1@t%p^aoY&wnK z1?Y@Hxsqo7IDZlf<_K%!R{Ri>V~rr8ammS}YWL#YDI8nVNDOe7TcI~oZ=YWHQ&6`@ z7RU@j@1vI^)%mBIG<+>q)7JJA2ipMj(p&OQ(`Ay88EAJzS=q3J8#F^N2F{BkX5m2( zZ&_(tP}iJ1FcRt}y5Vnk7UW_(4L*K;bVSTQg({=D41iY^N`>~)kQBQgQK{EKz5jdD ztx}q&h`77I$0(>iDIUw*NvuA^4E_Y8ifJxnAlNzf!HiN-LA;MW(QXI-d$zDV&zju$TxXZf}=dkub~{76e?F3mt$= zzTS@30v$_?n7rF(##+@J{{iqIe$zT1$(Y4Y9MSOMNaG5g`^pgu`g`uxf${kgF1c*Z z+yF@7pkBMSr3sGwPQ6R;br9suasi|9TreGRxhocFh1HSf0DYih#(x&o^PrZU37=BO zjwuWiuV+ct-*`#FtUO6qKc_Qbpl646iHYz;d zY`#A{MWA+7YC~~%`xZeY4EJl{MbEo}B}+%tyWVKjIxSw-M85$W_rHgdGpMcXk+9Yv zpL|+pygGfiti&W+h+V&&h z$V^$;{^g*BAx!VJ#O-Y@8u<2q=vHA9&^tf&ou&@@orp+_>G*5JfHNd^vRv#qzrR0v zP%#C7?<#@(e+&8^>M5H}*7kgbXf*_G%R*Pazh}GqC`l$kmQyMR*$K-EoV&pOrX zt{oI}_h9HgQR2h}^R_3}m?N|LH%P~=xE-P7O=j(sqN z4%&xjYx9SITp~g6n@A>o`UYemix|mV3s$YuH}(BhH!|mAiQwoIHyhPqY!Dw=kwEGg zPPvA_ch&TeNVFHIn1;ndCr9J0N!XK|S8nAMA0&ELiKb{hfGE-%JP;dv0zx?-6hi8F z04SF4CrqPGo$9(5WAF-hiOwQ&pi`W~9BkJCuCv!aPZ_a%?f!%(DxSOX&}>T-XIuD& zs5Id#>GcY-_$y4()PFKJA`emp-TJ+5rU+zPRsc?Vqw)MnrOt#2^X-EPTJ%VI8AdY{ znvgm>~f%b~~_VwMY8Q6ZPR1AS47p{F=C@9`;GmfcL4_!GPw4zQW zjto*TwyPZq@LXkbQbF``-whmvuCWa|7xsO!WXhxUqM*qO2plDM)6pULkD;M?5#PB! zC^<=ANlEU33lrNnO(3eyuGx*l+?mw;BEZ)K=<0Oa-tfzmjA*2di-9@-WHO!t4$*UviTj$wt>y3o0*;_Sk_ONxnbThJ zEz2-hd=Luv`KT#kjiTnwm`GmSPSsMC2SR%U+y#r9>8sSgan2NUU)(WE%S_T=Xi{{l zfzvr$YP->U_l6MM{EDQ3XtcQp`wj$k_%@Rhsa+Bj_+Q3CcjKkhCIl5$Sj4xsK%=M8O zE$CNGE9&QjpJ9{;D%**0bN|OPu=`gdWm`uW^edSq>i&1Aut}?^r@!}iCbs5yf?$#_ z1(jBp&mn*W;c@Gr6J?{^JO55m3y zLdTZ8^x$W(3m(pqSNC&Id`jSs{Oap+_vC4ZGVb{EU<>`CSi*3M7n4k^r4J(h;{n0q z1JuZ#iNWbIJ07@T{~bWPELFAR?$bfpyB%#mU4;C-aL6!F{LO~9V8;{KbE%?Flav9N zDcC%u?zHRzKAVOB{~9F;^ohwR^4Gjvjwxolz}9 zi4mXjmKa%+bFNu_qOna@n>15L9$|#;qZGaaYpF}f3_m?5Cx`4>?vT*ilUjfXbeo_L zy2sZBSwG5Eq^uJzBM9ci)0h8a^;m*{+9*VAzJ9ft%i{5d`nhS@M z7HY(Dcjr$7x|Fc{9ikQVCQg809!(7n&%3srGaS#BAiSeT<3N(Xh zV7XKO%y9SoeWOwouvzO&m1PhB!vn?=mAsoN!O+N-y@ZiyI4l~z&V3^WFIP3ZsYuvd z7DbMegoliW59$9^g_+XE;aKwYVQZ!_wostgsXh1Y3SyEPmb3BCb;jzu3Ihvn>w~Tguf}`wX|4omBVLNj{%|fX_kv*BlU(bO%J`?Z<%WRMONGBs#Zo%{I~DH z0e~DOESqL%nJxl&d%Xz|7d@Ld%lM;bQ&BVj(E9e*=T*~PaNv9Ihr}hpI0NH{D3Ya9 z#OzUHq#}PMsQBIrM2k}U+R~R&pFmUYc?>OLxNlmD*79r+*ahdqY zpu%z%(WMe}ueZ$-el)Xj2dhWncS8Y^K+)0-Lxs943Rrj6As>G`tg<1Hh#JZt>$o2S z6BpQ%Wc}cM+C@$DWs}*=E27pvZ4ThCmQcx`lb6$$`<;2 zo0v4IWlTKPL)YDOKx<|IT5G;U2JsbPSo&_f8f*iq4xn-(i_#DY(S=L{+;5su$1TJa z--sK`x_>&rZeoNx#JJ};ZzQEmL)3+t=n-e$fQW5{OV$J{;AhgA%`q(UBKz;mxXVYW z#`LV2zg_#=p34!!ofI*Xj#h?HmXloTu zKQ@r)s^}9ebFAEX`hjpct=X^9*pyJYMMh&)&^WWF6>O zQ@5y2%udV^G=vxyZxl}-Jl?S{p5B`6Ii9i40v%94!Grnl&ne3C8kLpV9?z$URIJAe z%uYCp(nD2pr&PrWf(K;7?Ef?ajHu@ESu_9ZRV-iy{Y_eN1$E{*bk1Pb%&+{)j)Hjf z9{qk<<@ie@CnDFJHckm$(_&J^_4sEcw2cpIyzRb-S(S||MI-(IgIZ@`^DLHZlJ;cx z7niS8q#q_Nvf8V}j+WY`X3Z~W2|4QaBq@&P!Imu>YG5iNziea>=}-or9Os&;dhyNg z4kBYyQ?>;aA5ylQC1M%aXR38<#S7jGYEOyOR5n#+gVO+B#ml+wxPqeWjt=+PVnsi0 zKZ_e3PXSeH0r>lWCsOsJVUc*yTgWn1{dqnq!BQHlM}SI50s@JPToG;oWYqa@e#vJw z6Ly0{74J63tuk?DvSQSiqHu~$)xv=@cyU@tVaR@^(F8&vzi`hdP-SwF$3|zDK#F|j zy|__S_;%k!2f0yf56-6!y1rWcG%>__cQ8TM4U<{spbes(-8e8)q?0$`OQyY5RPNj0 z2KdrTa5_PgHjFpzV|En)P0#WGonKr=`0dmWRa+l590SauCe|Qde*uR=Fh#5_ekQjy zxncH{U2g(|^Wp2V&lw*{%YNZ7I?u8B`73SJ`*JCHdRFJN%_wC}yyE@2l^2o_$&)yDsXffbj%}vK+Z9kFPg*GPH34 zikm+Js@ut5BX5;K$D6e1%fpo+<d3Xdp0;qH-z$qINXC z?@jXfArSa{8)S?KwWEy_gH-W6*Ty>J-v7-Bf(&PlGt1;_^=tM(N1`z6t&%xq9<+?M2)hSEy0ZB``$PDpBj zK=Hs~!NDulW3D>Ag0Sc?*Iy>T=Jb`UjyG~wjd8!8<9DyHF6YhCdgW(b5lPLrO<4+Z zos<5JPRrnnP%YW z{R73T5Gm&LN5D8V1QV<;0xG}@r7$t7+i}w}t!ovFq|<_0r2~YF{`;=(Mz?=fxg;4a*x$jm-^ipefA*+cAmPb&UrLkyxamQh4rGFu5PRtD z*azoqN80tnOvkLLH-#tY0&{+q16`nynERn9nk1u1Z${jaMWjmZ*{Ra(cV8`ILcUfW zPS`kld7Lt!X%^=re#NhHK_3T6m8@Q~ZQ$IjtfWf6DTIz}!FkjjKnS2PTQdLk)j)Hk zz%>P3M)GhCoWfOd?AWg3wLm+{h)0o|U&>fsz@OV>3RFE+$LgqNB0>B*J%cxV(Cu12 zoAg|rG8y;q{nkjd-0V+_#7Ey2qYbVxo~^Qk#{L^XQBi>`ujq^n<_VowPo}|$CcVjZWQy+lYXBq zAml+|TX$f9!J=`XQ-SNCD~%|o2r0JpX6AbjI6~VE!B)-o7Fu%$bBkb(pdrf9lYQYIq)7;|_42lI zcQB~izI;>!=3n85!T0MOS(4%Xc{z=G8~UfOj~hzcq3v0gJhld1TVX za^T^RK>HP8`Rr-R10nbh^6thLnr;LK{>PWdH>YOFk?+rGL9<#Lr-7$g=BDV{4TLlkDA~(wCV6K0(Mxbq)ERZr{M#83 zgI5wnQV-8JDAdQ^$#>Y*VEzdI{KExI4JifV8edRg`!#4D6UbP%Dc@Y&T`4C5VV7^4 zu21Lv^@pCa=UMOhZq)6L&tk_tfW^_HEH&NowXH~QQ!5nH^a6A`hf5GS_q?dXQi|UX5>gwXyrWr#9gCnbtC2 zo!|yt0mSkcCk+9FV>(pf7XwWxPK| zw-}V*ih&tvyK7Om`GPw$63D^$du=u+&EN7(lP7N0IK?s3oM{Ob4mQ*Q+wWXT1?*z( z>t;eb?JJH{hIlIb%Gf#NFPbbV(@1Vhxu3}66-UOO8-$#{McsFXhQH$bi*)6_ zree`XFaOAfRkC+n&sp(X%b;e8Ed6+kOKkHA-VC!r!~2~(n-wR>qxzX*(Ad`91^%zZ z1;i`9JS`PN%<=_9Td$HO3zrmFM$pTyFOOkqh%$zi2q}X#su#Rm^CAIqh+vSyA=5YK z;{+2kXhXRoX;hVBxGvOVMu&1?(qkg;pe!B$KZx8dUJSO2Y1vH2m$^{W=kj)qIY8*2d6EH z$P-8Hgb^WPM*L~eZ0OCk6~NvhO4c_rU-%GKb_^=LH}hP^27oYLFqzO{V0kcUMXmWm zfCt_ehf3?!sT53kuHKeP&F>S%XI#I&_RNch8C1DG7qDu#=nG?3wWTeK`4pfE17Jj0n~CTyI{+!nAWbp!JA1W%;Lc|s#qW^ zkY}jwsp{~^1G5@OT7a*gGoIB<)@t`??SAfgw(*^#OkvtI{ki6>&Ft4y&t#YO*Cm!| z1epet5%6E{w+>RlgV?IUNjqrXTj%C}dg=GF3rskARk0jN!GLn|?O7M2+|No?mLV zu=m3PtcNlK2tqxY7z$&>*@2U!Ul`i963y@V%J=(C`+FF+nV^9mK?qB>*KrE!oTpxf|17GT?PMi(M=QCH>A zW3U$mNZRf=OP$WSN^srd#AjzMo-K@^$ zhhV2S(`)Rem<(+RLIHtss(~Je?B7NMKgz8bE|cR`)WRflB7?v}z`esK&fWsEqv&JK zYxa&^B>mcyO2~_J5GU1KAH0r}7o*xNa}{F47-vXcEt4@L!AU|()n*g&xH!lc&He=R z7G*<+i7`-6{dEF$Y5A>`in%bizfp+TznH8gj9A}W`-Y4PR!E3wFB2}~t))|^T6s#F zQQ}}0x=~qKMrOV_*uh}$W{OINOI$!6bKupxX0Qw+B?(J+JNFy&>?El&1FRUM&MPey zy?5-0Ns?Z*G7~oROH2r%1KFw!*{k>M{ODL;7Glnf=lAYQh`G9a%0PfJvv+;r`~tZi zgY^shJiYvcvaDSSmD2WdABo5jKWnFgIda$^D>#n;OgIhjg~xK>anL@Z13k^7A?Kl2k&eD5H;puG%k&tz}rm;vYk)K zIU}kr6$*6yi$(qy~)uNJz_?mxd(Jh2UN6IBehO{j6}3#S&N6f znTdVfP#_Ooyasp@Q|9LwmPA*Tsj7#<+p2=#kIkEuO`hJdus(a~nr!J>iCXg)r^H(f zv3%jNv73~D>aw55LE+z1O)7oIKYEyqTOx@tb)Iy8ov$((&82KN=OtId29||0*J861 ze?a!V<^{pWt2&WABy?COpL<|2vK~u8A(H#v zw)+lQ!A|{l7Z9X;lRy;rAlW;XBmiMia%PzpW0W;-RuD|F87;*D;IH1h96+;t_A&yc zRf-z|tv2P8*N1iVe7CuLZT%QA{m;!Tq4s)g|m z#vYXdHNN$*5Q{;wa?6}_5{EJZ2T-po@}zG}o+^?Rg~vn(%`uGAY zgTE<6^z-Sm*2uAcr>w;^W4~w!qfe)c#K>d?zgCWImH-RcO~fJfjSR+A6a$GNy^}wC zj*X!W;HK%-$O{P z08**TR0l}56`JyAZ#rZ2-La6rbSu9lL_x#|l93AY0(e*&DNTM0cq zh}sT7PHE{)QF-8NH&qJI@iO8AN!GR3tOZuA!&w=UMIUb`;;|99pG6Uc_ex9g+J+>jZr>w*OP+1g6lL;)T;16r!JSny zFJIbnS8hn7Ea;ziwo*ufw;O%K?l^bF%wqKi#RGfgmjVI+hk{{D_CkVKcg6+gU33c2 zK4G92kH|=vXSGz|qig?ZtzA4IQur#=0~;Kk>*(pH`weCp z^_!l404N2E8!rg6Z%P!6MePrRJ{nD8hV!VdKf>|C%7{2a?v`IYn zwW-_&T09XsaByqS9i}9FzF?=ke?8nk$I76BKB4H?cg_ViF}k$!)O-^ktBmG@3WX)aRMN;OU0Pbz%-mZE{Hh4>;gsRE#<-V0=STX&cm9~MrIwASS{M)lK@r0UI zq*YU4Ik)BZ)Hb%BVvITe={+VDMg#piWfdx(XslL+TpWG!#KjiI28^Zl#L zrDbK~O02l&dwA7cUIs*tjXyp}T`A13?l!wYwq$$+(N`CEDU1PfZzvud+mk;OAX+YQbL<2zp<{1eoI3wCa4YO9H8N`U%;=;lK(LUXWL7t zcw%>v)#m{9|1KwZ;Y>URbq|3HvF7zNCkwPGV=@mMd+gWB={7y04~5O1Z%`cUHqJI3 zxlW8kMwxWm9F#lOmcK@M;9zxID8diuDAat*V^4g@-2hUn{u}w zckU}Wb3xE!@4Pqi6tA4&cy~E&F;55=%(fIHsia8&_FIJc{=U{dXlrAYQ9Cxs>9xMB!qynJkI@w=FS$P2OlL}DZj^)0! z%l3aBqDY-Sf6})BS~akowXK9&nf%aBBVW+#oCd&1eefD`TzzD^KTTp?2xsYoq$We( zNC(Gh8fNTDZVhdbhimg*Q}fmZMK;)g7dns1|l_Pv>)ON%6?ZCUH50Bp52zA?j zbpLCXKZGl?Ip-c7vJwkN7LpPWd<|-qEu}>}2^MA}7lX7+n&$EZx}V%r{j=g4sQrmB zn`psiZGR?LErln}SFxrNA&p$PZs#$b;|F#Ac^aSBe(QU0e{@=>5VknP7XZ*bh6i1M!cv~9$3O?OBy_49_+JCyW_{P@9u^$uRaKXu?mt1gi(o-2J z-c*p#lX|u5chj!+qDO!tc_r3}7ML%#WR6u`3N{i;d<)9A-s#*3EuP-?JiB<$ zeyL00w5d~jE2~pIxl^r^t?UZqKXNz%Zr`2HW8^0sGf9I^e>BG~=Sxc3ODjMHo2cCz zLUf5Smohq=l8)Z_P39R?aI0+_Gzn+-aH=XSoKdGXNHi(d;Q-Fc3g~M-^)2!+5>tXL zO$!Km>>eE|QXpXjyf0%>RvWtRcIqG{;G6kS8pb@CW(l{o4~G=8xpRZ&;Vr{2>VEpt zJ$$6@VHTIeulb_kXRmBztHZG(C-#Vw#bNq2&B?`GEdIxl&2u+=BO+m6pw7G{LNA^@#O#4?ueAs0FXaXM z35?(WmGYZz3q)RM*bojx&JnF(b2WT=`c~49<`RdnmZ$hEaCDi|6V#qilpB=y8rt%k z;g>mXoBB^-j@T$0M>eA>YvT+^^5X>~VV(NCU)t0P{=>KDogX)`my1rLAr$5A%f6 z#g_|n011!|WG0D+gAETyuZF$rc{H%jU2I01g>3PMIn`ME=8)ftQXzUq-mm6lx7j0W zfmk{32yZQe^{Fv*2UZe;jxfVSU)|bTpE5_bbv3p#`uu$fI*G5&-hUx8#Cq1)XGzQRXz1_n_Vx{ zO2^}@lDVlc*Bv4$2w)*(gYlh-!m(RCJM!rOHc%k@M{I}Wx$scQRRXiDM#i+nJ0w~i zB|3f@5z5;(=XyNpb>A%Dqm#vTHWPEVnZnfHIQWC}Lu(=H^{2oM5&6iUl6Nx8^UnLh z9pVJ`K>MYF+ck_NA$I!L3$@`DWJNpkj&+;sa&p|LX1tOJWh|2wX`B&ATsXsHBo$-0 zFp2nnumrw7Ry2U6lmNkWM-@wbo&(CTAEMU$i^{U^IEuWVQj!cDVY1r!SYB+^OP+1w z6?dGX?jsg-9rYNpY~F4$sczH6=i6m~7s zMU3C|6DM}5uKJ39-4CX^itnQ3+?tLhjD@A4ehBc|XB|qarp=0r9aWJ^fR&}CUl^(Ia zkzUcm0aoxhb})pTP)2s1;VIL7@o{P@4YMtV#Dp>n#R3o9N=niO}g#rtB@0zn$qg2`XbJwS$w!b66 z0u|AY4uC0>4&fiUfY6O&O@6sAJ@j_zcQqs2J*6Qe-;{3i$<0**$C-d ziM{n2?XnhnYfjm%Wgq8QT_>!4g>%iatZ#g!b%!!AenBa|th8h!hu2iee*KYSl3C|S zQvy8T#kTO~01o;Nrt5na5S=I#O>$`WxE$A*oR}VRG9lUXvxqd1^Y^6t_LI7eIisbG zBV$^lu|i|4_N=C#8O3F`UZyo3l)4p|eO8XulB-*&ElMVz`>!EX0TP&E_c99eLf?a* zMu{k27#a5XqPdrkZQQ!j8S@z*&Vg=7K0fo_NWD&5$)<<5|4c&R?GX5pn{CPC?-H*w zHr`!vZP$62MotW z?f>8CTM)n4aZ<9MAUbAM>)-Um*17X`HVP%xebS?{W3fS1G|fTMqNgue@=FRf=GOgl z5@YJT0h95m%UjsBy>azI!VtSu9!_Yc8nMls#z9H;?n;*RBLZ4ODC(^zSmwt1-iPN8 zDD0|YJbMy24XT%Xdp6=iwy+GKM$!RH4vvP{h>z00u$MRW4cCrtOPz2l5h;V0qlq74aJq z8Sss`O?=NJ3^#^2Vu-_iW1O;<#@V=v~$ZeL}@0x0W6JL86q|h(_B{G})V7bX!sHm=WvxUZF z-O=<*ge=NPk#@{~enL5IloM`@eEyhsW8hKM%frR)^2avrP6}^|y_Mu}54$@Xkbd)f z&&fG*+BKfOzAtBSz4r0v+eO|A#04)>bpDU1ua1hk`@WWOgdwFty1QGtbLbWXhLmmr z>28qj76e2}QhI191*Ah-x=ZT);N$oAt~Ja5z~SC|_SyTKeeNa1ANmqD>OHu)_mWM> ze>L$44VwZ1JKYFGP2CMauM;Bcxm}bcnQDFk*mpQhTBBtAxw2m_7p>6Bg_>q7MU^DS zc-wf(&(c<9u_6u)4~s8mn`%ub)0yE-Gz^=LRrvcZ3!RVg<-$dOd7|K`r=xWDq`s&U zDWb3*Vn8k_lNIllwY11umRFZ4*JfYYF$<6W;8A_W_xu^`cw_KWLT4Rzb*yu9!ohqQ z(eKNLeks`}Q_(lEgcXgSF4J8iXPAeu{4F|zNvJ`ZFJ?GD#(9Z{z%1oW)=i(P2&Sq* zdtkc$D@@sMe<%zvAIbKZFrm196jUfF!xfKJRIXP$@D&;5xd*>`o8|Og0tdro?2eG+ zjnF0{FS;z4uRo%bi2)>pi1GZrcn}sQ=Zw*p>S9R_#@vW5qG32b{ULTmjULJ4Vo?Ov zQC2(N_?wMwK8%$eE^HEiZ@N{o*7VRx24m-RLXo@O{Ny~}7>ys?t5hsrK*$!|@`9sa zR95$q&f)QPJg~{7>8nArR+|_rte+xj8%ufDbH{OyJI{fSzA>%oFT4hFPJQLjN`g4f@#&0I-ILCR7JDpz zjI?9fzsN#7EtBlLz~1Bys)kadty%qnlzMP9cc=C{WV90(ucRQFXlKkt?~T$6Oc>OIKpDHmvm~|f^%xhUx>9|qfU5t^Rx&)gIQ1gs&F{Lim-@K zVm)h8!Cdm#4dx6r;id!;N0-ZYOG1de^xOs%UOq&r8pp)@UQ02Qoyjb*VM?SErquxT z6KMOVzTy%Ws3`CpVbSfOG;#!_qR5@}>%5Vy07=B3udTBi%wnXjSz@6ij@pyUO;RA5 z_f23^;0<1*fUEqrInA zt$fH&3FQBCz33zVir*KbkFGs-f3E1r!lkUORK8XR&M0?Pmp8s zI;*kJ&WY6Z@~wtS={eVAD#kh{DvSp*JAbIkmh=xxusVTFRZ118v4<{Mxr`!E;&Xcz zDzK{UvF0(5FX~P1k`A4}rR3y9mV~A-uncF_yPWiC(qpos49UuN-TY#`6PLy7Av9?6riVM07Q^;c+Y|Duy$yl=)udq) zjxkOe_e7{BFB>mjkp@3w-u!^uVgDD5GM~?>iFVSJaX`lQ9&?yK5kqwlWCE61!T# z4;`c`XUX3wi7q|xV$10m*V-}PvTBKI6?^<2p{bomM--sNdF3|>I7S*FrgS~#`Bq3_ z-CdRVriEg=1 z_td>!R7*Dv>L2JCZcR_I-{RX(d3J%3=^YydKlvsKshTFnYF4@$sF8-5e)(MzT1;9* zlU{<2V1Oyh4x5;$J;UG=G2H*8foVBmk_*O;5NDw_qzCi1J?P+&jbjJX7Ge&^o_WHn zHQ8V7L%Piqq5QsU;+ni%7RI7q9hbwyJ}R5-3Coz6eOWP`uwYj?hP0^=@(1%X`=40igxWoB%Jjf?uO5xgfL3%BkUXx>sTn1g#@bH@Z^R}Yi!6T}corVYsXdCbx z0L-+1U@oU}$hzFU@PCVmyUAKEZu!=MN!xL1m+P09sa+7lN0P_29g&cjIdj_3RxnWn z+ff^y+C(T34Kb&OgbgcD#GBBAFyZ;v#+cNEaoK-zRShHJ{kESTY2(U)VHY78QE*e` z+-7v;OTTqG>+J1)ADq{6MzS6)v%is9V)MW{A}Pobm=((%#P&#Ju@PO;kW^g(@|4p` zbI$=S2cN0fzY9-M3~_7h*o5EtT-l#KO!d*gu^Vgy7Hq>at#d-;u#EW@zg*fxdjo zGp$Ri@?q!gg;chDn{wV?KB~va?!&Ad381d?Z)7^;Y=E@c)A+ByE2aGaF39^Yh_eT}emrxR5l+JN% zhKmvGix+97nYt?xa4pP|GJCr@#E(RoncsT%T3wHMZsVgmFMxM(TI=7f6M}frrv)AL zN33rl-4bL{;YjinUXY00yMu-_C#OqxDuAJgv<1CBhw<=?c! z=wUZB?>oVCM6%-|NHjN85O3!(!G-JFj+eZwM|cHa}-CtumOv)JvrmVK`b-iS@E;BviyOU0#?2*s=iX`ed(%rizo zrz~?MD`kMvjoAfjhQeILc*W0`w%_<@fJ;7)C4OlSCWI7HbSh~nz(W&^`Qh7%SGA5hy_eohvJzpD5^Zh5O z*M96;Qp{@#6Peb!WgJs9EDT1c`S|t8iSJ{+G}wRd5FBT=jy*(q@?Lu zbgOG-n!DxwHaAsQhnZEmDMwGJ!b0JNHh=HaOU%9bvF{1=LA@PG;vj5+c8)#j&1Z4X64DUN zLZi-7Qu6D93aD_Zt&5_}!{aL0^+J?v#fa+Pmlsg?x4dT}Pz`UcV2D_teB|PskeC>> zET_brIPqa*cE;SEuMGkh&S$z@?^ANZgI0eWCCbRs==|a~a87#3O8rOc;3e2iSy8h_ z26#!i`g|iRTP@)XBbDrV6e~(_1iV$3s{gW`!Jv;7<%>vec{k$x+nUpDiG+G666g#Y zzeC5ebl|FnWGsaNLj0UIR|+%%6-Reyj$L;b%jq$Rnqft0xl$eNT#eVGd!uZD- zJ|G5eUtsfLc`HVgBr2y6sX}ZMSiq7`_utGv5dM!c)QB{1l$N%kxo-M{jn-y$HvX1YYrGtdWo{~9i_GQAF9U`(uu@;dRQ{N?b-nnSt+6(v4ge=D2nY}Zt-#^E1+DU> zn4i5Ec-Ki;j_^!vs-;bD zt#hA*Jm{zYdcv>(c|UV{WEpTrCP9b!t8Adlp@IRU7eE{DdbIu0I9ojNg!jW z$;2`EDDxjEzP|#m(xMb8r(D^OV3&vnieK`zww?2lyu3oeJS!hEDG9g1#_YZ8EtqAes_zhKEr6SmGwR0Mr|chP%(*b)ZE#V{jX?#j8%P#|D~pEp)vb*gxH}DH@HTO1^*yH{~v>j zHM3bc91%Y_=oE}Cj{`ap+7-MNe(P}CVOjGo?bI6$&1yBaz^4^2v2plIr&_|`H3#?> zq3%HFH?E(NA2(ZuS!;(^TY@s26(Gi=wq?_tIis5SU6H_ zsWtQM>nsYY8lx}g=X)HxY{BaER_5kHr#4g=%ux|NG2$#O3_Gn_^Xgg4D)xsa85u81 zKb;qR{Yvw*eDn`Vc)&a4Bu&|0y-tH2GIoUZRy|<}Blw}SyDoKRaZl6z6<>gW_+we4 zWSRCvS+nv1GawR^fAq|gk?C$U9S!_G!8>s3$- zpG!fIX$1v6(M_W>+p(r>a7 zNJF3RTksnFW=7BJXQKf64LTzJ)Eg03WX z2!T@}Wjtc&-;caC$blVpt|V&JCu7xH;mXo7Aj+p>#Af-R%@vJW&MY?NaW0?< zy!ipTaJ2j0dgZPMmp^DHF!*}0lG258_IztxNDo_#1o%DJf-dTVI|HWW5V#g@iR-I_ zW|nQ;{dR4qrpqKktmwbV@Qb90xq!K_z(JiP)Pe72o|EJto+%#E)B5bRf+J~F#*S0? zWwH7e?P;8Sw7e1jImXm<8x|T~#xSe!b!|&q2)Y+r@W(5r{tS}(`*}a&L z`*AM77&yn4snV`>ONUHDhhTuad5qtklr|^1>RAUr`u-&7o;pFv-fJ&aJ~v~VRvci@ zCmTN%DCiIxf3VV*t=w&*8XVQzwnxTIscf}eGpHDFro&M?9oJ1@R=UzK@;|K+aGy8| zmQ)Vtvb@?;tr(TYmF=Zz?-5HuGAuo>5w9cd3QkAHjWJ7gFGuVMW`q{iWYqba%tlS2 zs%JmUzOt9y2~D?tc)6)MWdSXBTD+*5F)vblG z8-B%y-!*oWH|d+S^`{4iJIlD?_Ndl=tz|}18h3HNF<#j6a=@-YPfj#U3@*uT9ZnZL zEicLc(~b)vUznhB!i?%x2Dp6uRmcR>hQwGQ&E2fqlI8E((%Q$Da3MEpv|WEeY*os{ z+!JyaC{hHfsT}D`N)Jh2h$~Q2okZv2s(qiO%S~id>&b|sq+F`7jEz%V#I)0DKBsQb z^B5+xv;QdG8A?$G)LtORBK871HM(HcKNbR?R7#JS|2bba$Muy?PRLTwAbeVd2ZS3M z+aa@HTAjDxgELiOL-g>>b2IrdCD8iZav?+G0_^RE@XU?*8VOkz;nHz36QrUi6Ax$V z70tJ}xcCIpZL#^ea5pN}7cpv4oqaa$WU5G@IRcy4?#n8)4+C?$H60s}hQpT;xl4XY z4f!pNsvTi6=&ovZ${L1m4;0dMHRCot;&#`YMJQt3p=@u+;}<#w9muodTB*VFHX$aK z8j50PkP@2o#J@rwP}XmL4=l94OmDp6PUn7@i|AC^o@q!X5nA{e$^Z5cUNEXcExheA zPA#%XxBtB=zi=ibgz?3>kD9t+%*OfYh#xZ3$Z_WQk2M>m!8D$#GGFNFTPCmT($BnK z`yUd;-(h`UE}49FQX5HO=Q{Lm;d0J@O>N9?E%XEAr#tWVGrC?ITU2;dt&+3GU`tVJ zNSPJ-d1ZmC{wfSGA=yD|O3d7WJT#u(IWT}36nF=4a;)(4OxEvTMx+k}Y}n&h2YF1Z zQRrLE1II!#ctAC`tF%X(({#_;^co^aG!IPx!M{m+%Ti&)%g(sdE!meR&cY7U57m_v z4jC+2eS7Y?(_m(2Agk2RnV)Eq83h(SZ){xcMHk90|DicE!zyed92^=O&T+lqxwvt4 zd!82W%k_Zm0m2RGC1qrn2ldkfq&-K`sKLMK-uP&^o85#%01}Ukn-Of7?(sC zZq-eu!@Tbkc1KTCcE^QC-K7QV9^)Se^XK05idnn1Bn2}TheoldV|p0IuzSwvwDIRn zNab&hR}SbGZs?i1Js(skXFL^-h5v_zj*sxYTAQTau`ZjemAfsjZlE}>?0DGq=d~m3 zbgA+9Pi0P0n2wQFjKw*+o@mulL=TagnY5V=vx3dM`h|0S#zGmsbo{O;0G3FgKg20t z6^(jK7VmOAUFNAheNOKH$|?C=qLW;Fw>?-Twnu3uRC}6ajTTCv(fcJ#Bp&Y*dkSjJ zGPD3GL>oY8c~77`4?{a6j{>BwnK9P#HC8F5F-lz%&~cRIM*HM*NW)p|Oh<%^ai_r-}A+W}{p4-f~-DO_;@~S@Fhub^7C7$VRq&j1#kK^n!Sw71L%zLdy-nG_tlrt%B z^xjdQplqpL)ZYHD2KQbZ1xHO?Zwrv-joYf6z~g?|b5Y8)lGVl)-Y!rqJ>ZSJA-dc* z(DJ+$C&F$isnLU@_v=!BK9<%sH(*R>dtvB|ImToj>3S>f(Fj$&P5O{Ijr#TSZ$8up z2_7V9@x4P*`k9KjUVL9H7{LO9WzOwH@o1%4H+TxUV1qKDXn4sIo0}s3&Hb{_4(?k{vR1njvfztE ztUwuW0S&B~g-tOT6^HAP${~P@zCeD{@zG-1SD_y}DDsGzS!kL?Cvzmp%&$=ncn~Q^ zuPg#?LT3|(c!R~471evTpfvU>Qq}*rFnz^`Gt?TsZGyVx_lMixJoIgZ z*C@PoAeCqAQ@Cn+lmH7ZN$2-~S*Q(a&o`84r;BlmCX;I>`s{VRhUB=8$+$!<(af)> zqvY4**zz#Y1)=;&(NY&#pIO!czgaHJ)i*`8SL&&7@c1Vi04xL#B@NZQ+-W8gSxRgM zXkW`~OQa8*&EAzI3YQfa40@84KXHB@QA}mn1;xhL z+u@1jv+=RWVa5Fng^w&k_N|;RJDOcs-=TXQbyXO`Ps7p zzMxy--io)HN-P2!|BHcB*66D1KdFH`M;N>sLzm{0VfE1>U`65) z2I^Vr9B^*+od(!P54iW@zd*UJah$(&els>U(jk%Y#-?1lphn?}65$wo$|e6P>u0|h ziaDk9IiOxNP70bQLoH{e=CSTR%1}fCQK7Wl5yY?bq8G96M1BcgD2#F|eWyj*%dE#R zgY#0BQxDu*VZi{&;yr717Q_N}eW$`pq4#%#l*}d(r(VM`mh8)!?{S7k!^$D(j1`lY-$PyX}A$C4|O+#WZQy8g8KO< zg!H%?_ancN4FSBf%Z*aI%@$D9<`}lZzMGK;BOOV93EePT;L1^FDMy7ST*-mYw1(Ak z9yY}TSARA%Fu+IFow#sAPre<|}{DQdfzjzDYi=zgK1n8S7L8xDeTA$I&qsJJjnWDw{#z zhgI<=S+7atY$a|8tz}EK7Ne{QOYr;!#wKTbmrKm}QY&|kX?w3083Q!tWd?3v32mH!qxdR0O%WS2o?2?w9)!(^K8o1Id1H z5zeYfsW_EU|482RR2r}Fu_|(P%hQK;T$#i z3Ud7>+g4RBQd~Bto>_kPq0Df8bhj-%QM?xC`*QV%ul5f5@!rOF>?Aw0&mCc+Oy$f# zEoqimQ1;rM9k!ACQcu%`u^e?b4l86kI+hFn=W*$x?woH?PQ0@c8P$JERSiVl4K$$a zxXF5YqGx{N|6X#i3+^h#juvOBs_r@_0Sa2E!#ckWV(jACcUmL&N?ECv)eX$wFho4| zayEkdW&UY^}t>|zHVl2@%?uyO2BdTBb?wfX(l2U^_E@xEt@E#GAnpe%MHPiB_e{_+)HQ^#^Mve4Y&C z(yq^a4IhA%;n4RbzBQoh7sZLXoutgD&%%}YCQ(4sCsN;{%}-(v!kcX6?n`QF)RTVP z67)aKC0VCF%tfN9M|CD%E5K&0f&(tRT^#ps7AUFYLQQ)6sP(4oaIsbb{rcVakB;8E zKA=vs^!6`%@NND~7D_r2#BzLY-oGQY4m$9oDZ#X>Jccx^%Z7zzr{HfX1C1*n4arkn zLz?WFF!Dt3|TLOAodG+~%ITzHu53%&ZD$xRBpf8I5j zn#hyNO3RmQFE@LwUxw?b2y&+Rb&o#OK8zGevDZF*PaJ;p>K8M!gtd%5$>BF8T5N=K zY@KxNAiPkk!ZJ?_bF7~jq>Ry}T=B(gYL^Qsi~Muf(&fxUl79~uhaZUAQna?}@^gg1 zu%omokUlVw3fU7Ao;muFN|U5I!jwf=X&?(_ZU9%Nd z1Ryj~JGKl4#>V13k#W@ZD(ai`)k#2J0uD{$QWxDsyE;H8oQNu~qLtK)M2G~rQYmdz z%eQ+n7j$FQlF(z2rCdLfUo>$JSN&@I_lkJ@2U-Tr3MU< zLVH~m-kh3M^mmX@6UE^F%2EIpb!t6s3LtYoc0&7Z6yI+Q=6q)JlzG&L|zF(7*LvQ{lf*jP-Cui4K--f^jjUHAC5JIGa<0hVc z9*UiQ9XDp|-+aKOj0xyOT6w8z!ZHOD7Bd4$8Nc&P$HFi56Ib9NK9_1x5|`Gxc`nER z_aY_FXVeopYmM-OU_nV(X&dGWzDp?<({|Tuj|_#c7+Cs-`i(*9wNw`EwCFu1eU}|oDg(s}vnDSrJ0qvmZ8nJVEalFO@?|HyrRn3ZHzcrZlg1CO2DFutT6}z^^|J3dGK~n3wUeLaoWEl1{j)e~L~fgV6s%@BWRy44IRCY zoakXe{?|I8d4^E`@k4cDqe!qt7G}bdJ{p#nZ~zr8H`wogcLAV0l0*v3PA7(t>lE## zlMk9Trbcb2eNA!wTIN-74t<*My`biHlrA2TC6Q}>YWT1y6cflyTk$>3@k*dbqGb^L2*#2wpj)Y0j0#i*Xn#ijPwINm%5 zR*GA}(MA{O5%93IB>=WB2W$MezqtueNofId8i{kJ9R1wsW1fi2P?9kdhbRYC*r(mC zweloYDSQ1{&Wq$IQn#9bAS8a}19~BZn?@F|*{?T(N8q+#TJH&!rdxFwwJVXc%HU05 ztL;o7hxhQ{y)(S@`q^LHBY!0AT)RZrMqDO*^t?trLB2(&)p8O8Lj+!N0xTV#$mT=G zI?b&{3+A zu%q9?XGl1v7Z_+4haP{h*Iq9kBl0a{1@Q_jZ~VIOOa_kmf4u;TKt1qeN#dE4F2RA{ zj)L(0&QKAI3dazwE{Ju3J{edvmRVYE6BPr7+40UBO-=J?^Ew zW7KHtPa#JRo4iu%)^7v5|EYVLmk4IIA(A3-0u_x`sPBY&fjfWC&iDETgtT$Idv2HQ zUeINJD;59vp(i>NwLGcygyr51+bKMjWYkx+M=2cz-jkY8lRLxtNa=8FW8{c|!gKVr z3LWTxBk|RRG$0ZoP|*UDczo7GE@5-9jD|S_L@CPBlrkwcK;@4@GcP-ie}hN$_fCMm z#XwKR{7O_Po^-sJ332}8tqL#B6MSv~bW(2jRjHVZp1%(Fvn47b&b9NRrhBT7*z%zs zRW!=bF=GvxrQdrJhcI@$tP#2Dy%D&sia1A)u*<{mpMaW}58uo7@oeoK;8?*=TEQXv z?GdxEvO@W>$@uQf+iC9PdNjXbYhdDy_s!NOdh64H(ZqXjX;}yMX__DYwG2>Kwp_QT zzvjA0G=Jlqn()6!3J#dl)X1CyYSM@Xwml~7FGGhI8Jr|#EWK)RimK@uLRnF=baeui z(yDq+nomi*zX7^}WB3A>t|6&y(Eg2T&J(_e>}v2C|7SCr44gT)Bi@C6rv&7A%L#oB zkC}mIp+i7|!wXShLM{86UVc}!$PR4Ywp(h(G~Itx-4bM3Z(d4%KdP*fuHc`B6{(Ou zSV`K~8HTl&{yh;u(P4C9GYbOZw>NQ8M>kT0gw~SZUAs8}4CM@Nzb(pDac^H}c)fQU zqaDIe6$qxmWRCfO512S=^D;!Z6FkDg5iv2);}}6nwLbTMhGDI? zoUFmk9Jks+a4urY zj?Aku9*GQxFL;tHVX{UJ9{gMIga~7=_33>a!3YU`w~Pw;-DIcs7T&q14zt{6g=sqm#vQ+0(( zGXU{)y=&?eBs=-)iU$ObJ(hveBEYCo0}q}6D9|4Jf^VrS2tvpX>rVIYqpT3ELh5Zt z^K^|RWTAh0ir-GI?K&#kn>_(kmsS}X>uugEMowb>Hzhd~5eCStU;|t_zGR1!*K=Bu zfqCXs`5o2@7D-+OfVUfm?F8%AfxBCVPSc?8Q-#XR0QJ75%J+C1)u*E@tz5O~HtZkD zDWJecwuV?|%)Ar%=W4icD9q(TJ&hVV!(hKCyhRtAwRyb@Rz=# z%{wAoWf#$vHaRKa=b%koV0;D}T=Zk{4SKBnq1!81oE(x@cDxu9z6HUbb_3QybbA76 z@-R#;U9zs?y!klVkA^Yja}$6&R%?ADO~8?{RHEE@m{uDBiGZY}K;3gNnf}+oA(`I^ z-okx!e@#a{>HlbT>pEI2(3sj`UWOx$R!B%G)9w(lNjPtVtT;87-_9Si;CVd} zP{=zGd#dyPA3&8rI~&S!eauAsF4oCOV0yKoQEtK2Z6PD9jNPG1X=YxFhE{fTLDe;I zxt$rPW;2^T6aVW2df>t`{?D$Gi@v0?m>0yi4nt2F9?fi(bP1n2YkM=qlPOqQ5Ug+w z4?<#+WwfwD04qR?<76{4sWAXgcLgQRY)tHbT`)B7LEuUJgmQVK{R9(#;)aet)3_nU z;>2TGcZ9J=c~ZXMpWx)fzSvvJ-}nRH%weyr-q03wyLcDvBB2G*e23mMY11uLtb&cUc1 zTkn!e?JJ$}iQHV2mul;lB^&9d_6B)bN$IDO!J62FSpgSbiQnFKPdftXeNWsnmABhpKw|N#07+^#^icfV8MAiG#GF58c+zS5X-{L6P zfTw%#lQQ<6Z5Qz_8$bIO%lw9^@XVb=+zOFTxQ-y$+L7tqpSC!P3VI(hc&-va2WMDq z`UeEFD?0`ao8$J~Dh>NRH2CH?jvXkC*mEGjF|S)%!;6YMQWB-QPkjE&1S2f@0hk(L zT<)p(1;wdGw{LEQ-VWBpjyd)LR=~WG9@R%Y(=3{SQLDC?;<5edX;HUC>Q{c_>ZhsS?xd2ZkLR8igZYJNo>L zaOe6lsTBziYUQDX+o*&F%zT;mAPHI~mvr)^e8(+{r|;^D3g08}J9}nRqrZ2~KgXeI zjqaBQj#CwHiyG8FyKwi>**?)lfsYp#>yN#l#vJ;NZ>G>K6NZSG5O10uV9Kpi;`UYj zi60IJSBxf`K_se}AKy1yMYDIv6TOJO^NBdN+h@tumB&;7P-u(@rMuL&g)CmJd~rHi zRcD7$@zgIbO(A>dRHXU!lKtK}|Nm|E_W{b{_Du6adJV`Qf1h9f8a$o*NN2wUl;BHX z2y6xoaD8#7c}+o;F9aCoHR1$lJj$;ySv==3-!IoYF#WZ)K4!)6{w%W|lMMzIHYhP! z#czf{6Jtz!*3X?Lh&x}>Ol7(<5_+|KGk)NQDCCtc@qRF#yjQ!CR31$Gher!ww;0$w zH5Fu6pe{9tgP-Lf?|o-=jlBVeTYmA+_>~01y3me;8IEVbrAW6;QSire>VA;+aYGg` zXT5`G0mh}r=nG`T%BQeXyt=Z$7DyFmkurD&8xuXD0xS=`A^dRI4g&6ii^4FBJjkR@T_L5l&O#J8Fh^B#JzjfV5>>?5UC}6zKe>ySkWx+u^hH|J7nD(l6FwIT?3a7Z=w! zf69B_4G0=W$ak*~q=61%<+VFCbPrtpQt51kJ6GdI(3In1kv?GYSE`M*{`%>GvZNiT zW-sA!h{^s&6yvZB^*`M;c8_vO!$BAL26#2`m6X4Sp+tJyeF?kjC-kC*=n}J~WdHy0 zE&>$+1-=@TKtLI&4ze*H$_2{=$>lgEv3ov zzq+dl5u{X^HYkC9*^^Yv;KsY|`c4*2CuRXYc|!I90F5Xg0V@fd)XCvUpmR)NS8+sT zDp$r@yv@Ud#I69+qyxxD^ZQ5Y&l)36KLB8~- z2|5U_F z?0s>5>il)~te8~69wEd#+j3rmB(L~7p04W?dxyoHywO(Zg~vgkBi~{$|3yat$QY}9 z*XE3;#9CV1h;V;ebCf?48QP+}dDp#9%BAVfkS zwHhe1iAMv+11=_vx5Bi1fz@7-)CAm4VjPmHVQ`wJzP7iVT%U%;AS}`lwrxTsuK%5>A(sJ zbsjGsa_;IMll5{}SZ96a?V^mP;axyEWq_g~r&394qx8k_3m{$u6dDia9N{ucyCKoT zql4l71~F*V5sJm}tdN$~Vasga6G^R961*(nBHk!C;9%J6a$s_XJx;Fv_n}i2?|+|I z;?g8fYaSje-29e}&F&QmuL_PgQ)(KAzOb5sqGlT%;CA5w{b@;cQ7|Gf;U_hWzcKE3 z`dQ=#m>aB<&FVUt3F62D(%W*Zi=+Fx1@&vFc3{O>Bol;qH?DX*)o7jMX{wI-`UluS$I608|v>|~tjPDr?3(B3SE-|yCl)BQoI~oI+(iq&? zd48|Is%XUh(8&X}`Y`L6L_?K-mviCXK*2&k7GAO7bK0UHvhpb`R=BJgF)gR92bs7G z=VH9-&2pisCh2dRWh&+2dzwfxH~f_U(b|lFIV~>BNvDL*IXOo_fw+q29N)@LLeCw> zIcoE!$CTOb!;A)1kXn_%$w}OdW^E*TaTX7%eYv%tfY-GG&?u`n6z?@jba3!m#0sfD zukX~=2^x>8Rag!-hB^R4GEY9=U{Hw_5h~|ua)>!9Kqb;ILN83q4JeptX2|I-PdmpS zyPM*z$TJNQql=16h3ok>QVfu2{^PUeTvo^~kqV&$o@za`yP9WrAR>WvyzF>zO5=y->t5QuK))TeH+RZ;{{le@sI8 zAJ3`=B*YT@5lyWc118)q)%>4_A%aTTM!IIF_Y9^TyK(hv*$|%=qUk8= zP^3jb)B~xH)o7+dpUAKmTVg#17K^^@%ze3ejZ*k3JncI%iKL1jBi9#^NaIL_jvA*tr_)7pLxsxH5ktjI8kFZot(w#P{NY1T1${vtV`KshBbUQSW#8yWMqr-I*F zmH|)~i$si*qSeAo4X0um7Muly6(O`gr3MV+aXfuOTQw>0F&>%S0FW5D1lZQO1`63Q6=F^9dP5UnPlWFs3=R zBCSfL?#YrNVPujV=y!!sHvk=x{$Qb85MnK0iaK92RT!$_Y-_r$8vV)8a}>8;hTn&D zQ2d`-qRnqejv+tvwIucX({re4gvmEE9e!Wwu=Y~u>Bq^*)em#cqr@A6DmVs;p_qa? zUzQmN3>5h{27sCG&;Sv3^M`f-<&yCgV_c+B;VP1C9?s^5Wv4oG&v#}tHY?mXwf~5d z8Y{*M^g(0ZS};Ch6oon@#v&dK{k*8ng7vNARpvE6EsnA>F#9^7lx+HiL_u8KZf;)) zqwDZ_fmrL49I5G-d@(3+J0V#+!r49`*ZbYdUQIZpE&GHFZYMEweyAUa7yA>4!V6}=w1b*1Xw8muaq+>|w4Oof|M$g+!9aJ| zdChlBbOV5QXcPJ|W-8FWjHOb(5dp5i!umx6Jg-s~4WV2pG*}0fC zuD(BY@AvHArD_tnZt7Wlc56jJPgudcS%Fe7LoNzG2c@Xc-09OuDt_8hxu z%gjY|j@an_HT{1aT>%^5=!w6sc(JRId$?*h0Fy|M{GWkD;_qKCIfOSwev_D1Y$dPI5dV(jYHUv9klN5t{|%F;MNs`|qwF?p0fxU`VyD zCnF#^PA+JAkJjx>Q1vdGe%wZ^oD|7+r|zE@vmcBTlQw**o)K_4rfa_fZ8VB2?wJw+F$6J+O@QxS3B-Q&=UPFDp}afD?1 zTm*9`uAMKHL|@U(aVQ4;?O#KmKhlo!$I{$AiBIhj!HMk5gr}%lqN&wE+XCb`h2g?kqHn+A;O#?VB_Yd<{4)0ejNrwbkJNyc$N2!KL7SjQO_86JqdS^UWJF@jjuM zu6C(Bim9Ts+*vrJd7n{V{QU@i$Sf*k9HXvm^_=HK@R%y!jJ7#<9hiS7n4SC@#|rs0 z1Q7a`thZy&R?lf5(*&EL{JKWGC#ffA)JqG`qqG%LJQC91XtGPuHFCD5iiX+~@(`wK!HB z9nK+SzAndR7-NB+f<>9mW@__L=o^jp4nWvTWAt6se+-}>8`I!h!^Z>f3&z{MK{1MX zXr{NXsOL#*zaQhXI3Vg$s36=hY8kz%hUBO{?f*yBS4L&kbzKXBT%>e&gEZ15-QCSa zcXvxS(%r2{hje#|bT>$Mhu^{bexB!h|KJ$@IO96|tiAS}bIr9jaxr1n3Opzvz^D%0 zomia-qXclh^B2Q$O0#UI#ku>+{={k2enb~1Ob0$Gx$ z`4uisd=+-TFFUEZ3YhN=Xk%voDtP6`f~+>95%R&d8I6n*A}9> zz4D_bTArN2YqN!am_u=jzfEiyVm^B~V3Gp{#@Kv+&o)CbrH!q}R|NV24L%O^+ni@Q zz>x_)Za_2=|Ct+FmFS7Dfdi}$xkz?|4WViRBIrUF_+K^b*tQs^;713vYHqbcE!qygeT zzY6$UEYwNJ5y9v3r&fN;%u0DpSfgqn_GMgd8%Lhw!|=cja`8=KYij}H+5AmnRmmNg zR-U+nhXBgCoP2KfJbn~@s5qdC>^T&0JTd22)$CJ4R;EEgQIdiZu%eBXD{l^bv>pUj z>V}WdlK#r|N)|#YAfQi6j2-J!_ALG>fc?fxj|E;1XJB7L zuGauPNH&J8L-aM=&&h$c;I+8WvXJg%uc5HRTL6;ElM&GQKgzmCFck`@6aaT7x;;Z< z+=97%fq+4B>-?t_F9pdJM=Y}zPy^G3fRh#<3;E&i1A%8MQyRqL^<`_dY#=UQPbZik zUT1uX>l>t(8MAk!1$~$p>!Af2K7A!E5i-!Q(S08W1Ep zY6H?hcL$CmoX$9A(Ab1Vum{(ekte8tm<}2@Q}wSJhC^wvL`KO`nmsc8`^V0E% z{2P{-sE^Xv*fd|ArfdYupNI@p@U=RVge;+%Li0|9{6DdPch*S8i!M?$;T09igoslX zsHfSR2vNykut-S%!#yobo_*v$q8O|6-&m-3n6O>G9Ob6E{)e-5HzK@8B$=NI1jZ8V zVxn(sf8{ErrVgV4DSvL8SE>nj!(YmdpUszLtDT@bbv1+p5(=wJD-fdLO+`yMz!Kup z3~WZZ<Wywm73W{rKjYN;|BUf4=v5i z_;BF3O7s%7SxzIC>H=#(9<*!@%Z2nhN2VlY!U(WPKhn{7nI-{_p|ZG`6cyx#Mk6f3 z6>mm%LT^~;c2bqOnL@cf%>)OuFXvA3W*pq_8;y7asx+Q+!;I<~>mCJp1Wq8&MgBo+ ziDZ9cs7U8>+%gzg5!I(wuD^mwI&j(~hz&5l7A66b@8Pv6Pw92iaZU2H{bwceliQmn z>QC&vgPad8yPFck*1UnxC`^RiAr2ck+2MU=^dgFqd1OD4<3i{@mJ-XX%*I^LHu0sI z?rmx4=tV%q#{m1vRe&m>YQk3-3d|Fiwj=lt1Cvy5+``c45sisL*b3aE>)dQAifiu$ zbmc#!8FI^!9Po&C#`4QVr+QC#|FWQV_9t99r#~XJ^Od}v+3{mFT7v)2NOFQGE zSQXNh_gm{qom3y<bZ|zL^GB5zoK#(XyP>zR{z-O9A)V((aR&N$tDeszpc`AE zzd5*UFNxCxm!*rAbVAilp2+pYy5~%S9qGmwnM^a1>~gDtpnyH9yrT?pi*RDWH8M-S z%CeU8H9Wqc0wvOU<1{QagBI`faVJh{_31*p#f!7YFu!dMaBYytJJDM zkl1Zx@jel1Kq{`2^Do)8{?#!Ax!WV( z9>8e!?u|3wC@ zf`B$~O-Oz--5hNPl$j6h$$wfwfq~pcml>WvI>>iqABPhtOwGErA)2IWUiwWqsgk@n zl&QW%#Xw$gKI$We9Sij9c9xdV^IMBQVI}PLm3|La&dtEpC%^~gT}rfgfTv??;tRIo)}*4evg3OM`259Ktu)J8do@WC-a5zBaj3Q-<$l{uHDPexBaMN43LyYMO-UK z*$>0vY=9AV<)39<9N>HE9l1Mog94Xfvj0ND@)*CcEZ5Np{?%O&sDpE4nM$^AWt<@C zwcre)EDFAOsuGaA)kpa+^eQk!sV@6Q1qC_4cj5A^h<>CAp{g%hqpX~8eFop{Lo7$MPokscd4_Jf@ zv(lYUFj`vA{lXeZs|T$^)vCRwijShlI9$b6b}RxFhD?vpL`$~Sms=q64`&v9R?mx zP=kx%ITO?^MXKlBi|o=-w2o=>lRE38r!R9f$ef6(jKN@-bT|6X6axd1=={@C-FQH!ZMOU4@mC?V>QPz+o}@KImV$nfS8Fbs{`o*#;@=JD9kQ_qhY^gXb`TKtn?wF&`nT>4>z6@W`CXiZEZHnuuSAk#wmSZ$-$d_s5#Qn2rTU*h0RGvf^)}_fb&I|8Pu~dE zNcD(kH8Yt|-#7dU*L@{Qb_`$irljiNgp69Am%m8Iw~I^Qft?j`>zN=U0NC366gsoN{zCu@bUERtcdw8VlMGsBy4u zY!{n;oEsC4t8TG|fEqA6_k{Dva!38LR_E(HTG(NihPAj{L)fusPZa~Dy#c^Yz$bX+ zTx=mkYyeda2*KSvN?{Kh7^P!+$jZpY@MQkP-&_h#aIRo4kCS}k!=fzms3jPY9b-O}BYsrS~yY3`wYN?ZVr3$J4| zaa4SjJ3lQTo;=BSi~zT&-@}oGlmVfw5~b8gJPH&!IcMG@D!n$Ii^2Zh3@NVpK?0u& zqrG%~?bm^Y=XNBGBba(ja8z!hs?h}8|BGb-FS8P;cdTvvOE0+i#y@2OJ+oLShsIJhLT&dyg zB4al8`Ehpbu02NA-Fn1le*S_5&Rev!;@jj@S}_C!4#%ytYr&;GPlVX;B(Ed4_ri|R zxaPv8+RePug8+d(9Q#eE#o1X^#NV}qfE=h5H*TFI;`FEYdjil5n!&L0=PJ!hoetkh zoE}rofU2J7Ik7e-de_K`js^B8ZlkKX)m~R1Qz^6jW3x-;2LQ7yk+vSt&-nwDkf$u-(S>eZ=(!__PwMK4v4a_2eM#9dAJZ(>}~GzapT$u1aAk z4R|hu8I7jdNw5BuOHqLe4XKjYP|I=L%j(S0nY589FSjr95EBd#$2I{zT}TI<3rYBP zOv!olX#CBR^Mm@{k12pH%p1K&0?M>GmBvc|@HdDG<1jogH&Jsi#P;1yk7XMuH$IXs z|Ky;zDVSy#JN6!iH13lyfP|{+fWLw{U;d_jUWyXH_h(VaWoPi`Jx1+RmBaR zP{_0eN*)MI!%cJ&Cy(XCCXGe@RM6aM6=iTuTvRcX9!fR|(j$GhRA;+%%YAu-NeI`OpwRr_fj=!Y?;)h!m)N|h+y1rn_AGss1 zc6+O+sFPB0m^DO>K29J5UJQXnEhIAIhpu07TpF1CR0k$x$1p|m)9nfa$qzMgQOqVW zQXDkgd*!C35FU81=dA=PWCOinEZa08Fd-5=hvye)aB7;E=w59v=n_92)t5;Rd4azW zQ1#4rN~DZT=^9nu26RFjGGR0v!cRT?s+$f58r$osPkC0LJUuMko%_q5<`Nbc}3yl0n z6gwx&HIl%H9!yo_4GNYq?~}Fbh}LgE!)HHT%c#q*%3Jq`#aIZ;GY}AqLe8H9b$dSf z8WHX0Hq@Y&&}#+EL}C_H0rksmmxSt&dGfbi z4EXc+Z=Lafya$XSWD=<r9gLVwWANL4QBF96Q2!Zhill2?~ zQ+acpLLophne^DSMLmjyLG#^twuZJmRsVB* z_he(nk+0|@=Bk- zNunqkCocsZUE4U`c6a5XOdnZU^&GaiZAR<1R6Te4I>SWCK8%-)+G}xjpnSs(AZfx%0zlw@ryEjP@E-GPn;JagOJdwbGv!J4$NtvO<^Q zqVa(nvax}ZjYE+wcZ15r4edLp+fZ)xqWz=UFK+*|2m`6!GFIYiMij^P8W~Cuf%jp@ z&-OohA<;60V$$n1gSE9j10;9PBzG_e4%GItfUI&e623dQ;u@ur!Y%{J!5zs?0(pUV zzc23>@#kscPv+0tE8}x)*Ae>0++VGnDZ@m7m{{oo^vd(yv^qtgD3ED?E%L~ko(mW7 zz*B(&cifFL5(uWkP}X5P%Fe?hddC?mn3i(8{up%gdvd1ZEg*yzoz(L(7LtutLJ3;X z^Iq;oq-n5;TD-^kifSheOgCPS{_b@)KXrKiyII|#aLSH1Alg9Eh=76L3S;&1WTx~R zJ3NkQykMJ_^+G+-TKg8q{L2kV3B$h@+cmY#(BXPv(d?!|$dPF5a?Z7@`Qpoe0B{o|?KlVpC~A4bIGD)84HS7Q*ArW7KaOdt+=93JT7lpf9|B z*OD5mKY%#}7o>T>XfXSqcD(kd7JSA*U^|@8^V;(k75k^Bk##1)6MLW@5&VW>9XC0g zU=9?{*X)_~J|6GYW<#E|cJm6IyqBKcYj-fv?;;d*)md#!HiFSY{Q<8IK8^V0nFaMY zZKOMBs!xSLyFb0rvBSF1Nj05P&PEgUA4N!nICl$yCUTMN;xula?D=!x{7p9uppOKF zNCmJ2MH966KI<7RndZ7xbph><_)YFG39XAP@hP%tEtcI07k2m1U-Ld&9aNwiL^vul0IM1nbw-n(eFgY5S z8+F7+4h^my$aa$xgsi4~*-oVgB{a4PxLnAZ8_f^?;Db0I7?o+<6#iq+MZ0?+gJS!; zFde)2A-SmCr9!L>JC}C#XZK&9*;G>JZr0=30&YPRrUKPWHX3eiQH|Qa;kM@s)^_s$^Za+)Lsfv2pJa z@;QQ?rhWFw7(nP^-5{;4Zakz#$fJ>(X1Iy68R&KFCuV&3ohoO8C7Tcll9q;?gzEh; zAM5wDRT?NOD|^?^(GDSL%_ba6x-Gwg66<|bdvxUUg zH}jX{G*Uq4!_0g#>?e%ip~4qNyGO*67xj?nr~xtqFPLxU)R8z0N|e8PiIZe6EWZqE z!?Bc6W<1JD)8HZga<4d(Ydiep-!A971gU=cDQ(^ub(zOfcgTu~!iNR0+ z_x7%PrYO?>VO>W;yBsw5*Bal=DBj&Y*#wTFhFf>!f51cj7_tb0>tei=N;*>ULB3PC{P}oGG1oK@DOV4}S`vDJp zWlH6H-oFNf_7@ma-3Uusa|4TB=q-O-L?oI6T9F(DhFC8^)*Z-bqL?E=$Mv-=qht!rM4ua zh)~0@Af9DMu8$nz$Ki)G_IKLkw@$7bGg3@yfOybbM|O{udzT>7H0 zS8kkH=2LX6*+Xaql%v$roYemg5G97P-ka@4M|ZuG2Ig{S8@WO5<|dwsOL<#awEd{7X3$yUk*dz+4_!o=0J_-kv6e`U@X93E*d^3##0wWxwMVr33vVR5L0+^3bff z%Ya7bV&xAc9kP%^q6Vj3WbPNi(J|sx$6iQ=224R;S%}8@d~hl_PtnWuxQXspbxM>@ zUdC7Eh71S%HMhN<77*|H?6L>)Zh)DORE@}KTzX{9GMQ&_K+0&PhS{sA=vw|Y*(VL; z%EHzgs`N#`TbXu1tR7qp8Tl;f_>82X^*8SVTTBwNS)#y5yt?e8bzwwz_EIx&TauoL zSEb)aZ{uoMBF#k34YCz5sVain76IZnA6_roDbT_D^s~4LyERK8ffKRNG9%w?tP#B3 zEmATBo_Y%usa4n{F2#(mC6(`&-XFQOh5!S#<*h!v6AF~OG&M89>(b`%b(OF$tu@Z~))>M@O|QCMuaeV+N`nj?!Wr8?7AsUtk*7&RDnL=aMH{o$~Z zWA)PYfT5!O!P0x@gMRo?EY)Rg&ND*eimUeaG@e~63elgt0kX%kM4&i)qm>X)wO};C zQ$h`~^fQ_EpfIQKCS$du`ML4O-kNVT|CVi1e$@~k0-z^Roa*@}RBFX+UUX9jsvsy} z*bZ)M(VZGJxC=|=1EG=dfdD8K4vDTSXk%r2dY};kiG$sCE%N2F;2qqh!?=Ys&`zc7 z@Gwk?zUx&$YjW!rpE7oGXk0Cf$t;R~6Zkl{dF!_vwECiWitr!Iv2+yC9nwSDYLYv0 zHBkT`*nllVxxTX6b;K`v;hK|As!XsgH=Q90blUujJ^?0-2(eWB>%1U_U?$sg|95At zHv7gs!4heHRb~L>;Hxc2RSlRiv4v3%Bi!X%f**rj{xkHzt=FK2nAkPJmYaVH`fYvV zyKZ5CZ3tv9)}h$7x54=Ie^a-}J6~LE1z}}*e?8xw@z*iRk-eEB0CBF)iuFjH^scg> z2k>m`FbwFp*?JUhvB|WC(x>rEG~F7X_MOK0zf|mS91~Ijq`YL!6TxcDGZjoWwXVp8 z%isw0N5Jb8BB#&c`+I?plDP~)aF8VA5cv_SE%p#m$G!A@^sYy}FWzWWa*n66_kH1Z zj!p!7yM9}}uFH4~)zLOgeW|Nm#N-gP#N;I8d8;kdYngEqo^`E^LK2W|zi@oNvGTO= z@H`&1^whFWWV4orcZkNCB z$@+dJrhmwS1gR(A7576)uXl0F7S$XuIFpzJ8@8Jh8VYLt`F1U|v5^ByH@WC64jzl4 z?uLNR^P`^EF`Ly&cAl^I;p}$_85t2Vv3Kza2^&THxsl=FU8RZzOt#CMqp8e2zNu5! zPfy=9)7a6Fscs)?JH|Xf;W#_Q4vBS!gOANb% zV4Jf8Vcu_sQ)O3ueYo3-MZv|j{4QO5iHr=GDZwAuZWW+X&8K!UL^6ih{q|)GA0MZD z^V@4j$-22Zr3pkBi9awgH*J?1Gw3mkHX5a-efyq-n(d1fMV;@jtTwE{~qG7UmTF z#Ph2r+=#lo4&UeI)+q@u&e`~FkKf0L8W&Is4$tJJRR|3)#8Nw9{2@;= z^7cxnU!ON_2TMm8xqpu08J3Jh4H+2<3PSJ`@XrxQCqkaN#4wJ}V^Ryv54nhKrWu!G z0^;oKy2UiVY6K;4@)664iYI3i_U)z;T?M1^+|5q-)_i(mZmZYM=2P$`2o^i6$*3Q! zXib+d+;fE7;L%pzj61YYLN@^}iHuMIB|0?|x?vo!@KQ@e_E6GJfXPA;KA*msV9yao z`n>>3onVWGIq#mh>YCy?*XzCnT3a9l5|TGaC6U?3(lpB`SmDVJlNn>@-MQG)7 zFCHnD2;UUw#< zG9*%l{wa^`kJxfB<|f0ak@<2aR}>9stJ-mwIVi(E_2lJn|7GsB8=i6fdQQKQ;cBkq zh0V5kpVF$09tYJwDJ8||;c7oj)rgS%%rQ~o>3UD#4-O3tO$@uXiGzc~qHf#Ah@&udGw7IVe<2#gPBp#o1`i@+TR znCMyAD1sU#!gN%>!$F*6OIJx8Ky#kTA&woNH^Sf4f31hlFDZ}P> z0ljnQK$F9?t^!5T%d<1#?0jas*(3|Pg0l_6->dg>yFAQ8=Utv(4rj|r(OQ-WJTPE-WgFyf*UnZ zHXO$o*jhR3{DCk#$Ft~xX`4!y6e$c!diL6n7(=dqW9V-vF>ztQix0A-1qX+m>$Q17+7CW;+cpbiUUsCrKPF&7}J+g;Ij<*qHwN3puDR#Q$DKIXlM+7cGD9-dU59U21-C*1-Ax z*tuiOJ}%Czqz;57xuv>GPTS#h(NbLN@WFS$`0(P>5Ht{0uL;hX6LM6v)Nq)U=-$)! z>pK(ZrMQ%v!l39Q`>Pi5U^>vZua-h4&k6(#@v9peP_ya8qxg(e|rjGB(Fj##77cE!Z&R}GS-u<7Y)+ue}7uj7LF&&&H|rwNM*@J*n3=KiEOk*JbV zyidZEOY^G!%S8&7O-VCwD?okacS$I)jp)(vEtcSXk`a|S9HbnILCsh)%*!C^#xBIC zi`2_~fw?XHKX&y%e|!p4$(M$CgOCV(?338w_hUhRRgG*5osdkV#irSVU%3`KgAxa+ zU^%IoQB0OLduvER&TpZp>BdjoDWH}xV+r&r3-X)Q^f7{ibh!OkY*RTp`992O>+lw|e5JEgSqU%-6M8#A_ zw1K5dnCZsuF(ky)5S4O86&0lMzo@Yfd2>m#XzS-k&MyiN+YNj^@cTK6Ub4oT<*)HU zU_yR=`&(PQlv>&!QBhA$g$3mK>i=e=+{C)W_s6i+xq%R^Pn%6Ix zzLf7X(2$J$wBRCWhbPxo-WG(0d;rgr%Y+k_3GuitUt_AP5le!l?BCXZlum@YjTU+k3G~v`QPl?8S};og|_h$B|GQq_i@pOl*UNnQKanh z!?h^j8Q+|nkg$e$LwYG)1+k;EYD-t1<_Ekxj83}MaxtNFP(C+=cvzpZVba9zx~;fi zSz2Z6U6i(mqfu?PKb{CXJJ%6XNy*C2KvwDOm}H^Zcx^>krX|P$J(jvuuxIQ5@JgYU`qs5~@<& z3I50OirPLoOHp8HMY!#Bp}<+8-=~)YQOu*Q(ST5UE_hTryAt*j_fUj>5JaK;A&lsA zYjCC2;moR1c!R_)>j9%oa;#AGqcar5?n=a+mQ27QsYYKszRaw@6f1MPJ&EW{bl*{p7e`6<&+@FwW z++?@Gaw6^iC7Vx^^FY3kaf9c>|9ARn33rZ{X?*GqVDb$eRnM;F7jS>Glz{4>*2dF} z_&c_iww$ztKceHux6h632W_SD9ql^H42KdRF^n6v&6nR0t6{MCKz`If?q3eSPqd(! z(1}=^&_FPi!?rK5O2n!uEJvV600wfk0*zW5d;7sdlVnxKo5oQDm=N!G;>ru+A4VZW zcQB-|T~VFe$u!fbsXx?zy;V8QAXE80JU>X?CK3`vYiCH{=6fg-@1O~F=TQuwYnC=U zbiot9LveH`Ex$MQ$78Xd{$pSM_-2$j2?XkdA@a@*)>F|aYW=?E zI6|MS5dH90TyMzI((>$^{xjU;&2jBPKF~I$)j3)A0l*R}?nM{b5pU3Jntdr3jmNqK zNLNLg_u=iPfSHTk4A0+~g+=>EBYS%>jMk4&%c#)Y&!V6Wc5@etDDlI*FS^aJgoXjg zh6KWw8}EG}IM+f@Q_?G9q@iR%n42IWnKwp&B`j@6HTR`yi9c*p$q|1hls8n$5g+N- z4Lv`A(I@8U08JT*ZwgiVN=(p*%K8{ZPBn_-yH@0>T{jKq7?3SgiW)cv#DV!!k#}OJ z6H30g(+T^LR2!(#6~}}JRL;Fw$x+DZg1@F;4y`Im(YowQ?la*1JcLE+^M8Td-%t({ zKkxSbD%d7)A}`q=%A@L@vPmifTozDRYM#l!DD3TuIh>>rf#!iwP{bHsnfR&v`zDha zDbv@EwWiC`aYhkEL5Psh5X0Rc=h&M>x%VitkUzV1hT~j5DjMAS_wYv0XQlAE6G%w+ zQSLC)T|2Xn)3jrikMp>Va?-_Qg_&dgsxClV3G@!O%SR1~<2=&1p`pP1P%F2^*NIlp z9YXBN8Qw$c5+>=^hd}`gB-n(aU|;DNDDV(;=+B8B#Fx)+H+H5R2v4_>bhM%7c{G%T z$-F0m4UBsbRv3RhQpBn+P$^pA-R6;lwqj#Ti9TXAv((zPHmK8@Vf}+=e}4tdH-Rou zHpzMAwDmJW6JSo!8Ns^OlzM@#lczy#fx16_N{2>{et!zNp8N>kojUPlrwO=^(}=Lg zXm`};&M|0!3Dr;+<#SLF)Dr;E>eA)1n+ZL(QLI)JDFpI?4?CC z)zm@&C048D7yHGs30B}a5^$BcMuRm@rDcoF68m%1ui-z>Yk%s`o~|F){t(XT`}ssZ zk0tHp`007!Y_Y(xd7QT09;jZBnuf%A|IQ0NTMvAHQ9*C5r$^X+KW5iJjV7o8&&llq zB;zc&N|n_Fly#()I^NWYxBgGT9M4o|9kKkeff=Zi(?7|xyEC8cWtdZen@gT?&JZtZ zC~;GrSx|Odvi*r!hV?b#*@mdI;w7oIsm8t-3U-iF($pPRPtaEpL!W6>Fd)HsFX`6l4$= z=!4Au6D|A1XS!DpvEf)CLYXTVn~*RB)F9xtt9U?*EpWP7t2MtX~{Q~_ZV3=G?i_NDxIGO*gUJmE!J zZt*byxnhmcV|3Wo0%7Ec%7ZlNLHq;{mh=Q|!If-&Tj}4t&W#O`5UDV8;|9M;8jZL! zIN=VB0Zr8PU7tuMm8mXJn`EX57jkcg$6Qa3=Hl|3{fm(Pe2*w<|N0+r{t)Y#!J0)fry~ zaWLMoixQ^<9Q@FJmfNae;e&hhF93N&UtKu^9qQhkY85&b;S`tEAcBK+T8@$Bb}&9uR)mBg z^ycGiIh#vdAnl&ap6kK?SYxHX_NbG4CXn@Py+2oLtu<|Vz|BWlYqvnclpzXyv8?(W zRK3l7ZfuJ}`_0l}-JCuC*QMe&k(y&kW?}D*!~KxBo+p%_9hxAiw+D3!`u2AsNDW7F zLXx8OsKb4R`}zAIg5PEy^-NSBX(kMrDtZ{+ZM_8Acr7vv{HwdXlHLiC&TXYcGZaZh zQLb5n`B+3+ox+Sw77n@eh_nL3pW4U5yb&peI}IHY;fXa#_WS0(gtT}EOVGyt88Gjf zZU;VHS702S|GXKS2^C0fwBFp7%ZV{rBio4 zESDxnb)oh7Y9o4HaNOQE{ijW=l-8gR7(t4levUQosjpsJ{n2OVO;?-)lLg}1py`)A zzZV#IOu9GWEi!fnfj9bubACq8rzImozb&y@Apk zw=?-Ec>t4G{^fU2H#d#R6~1;U3q-^*)I@)KXi&@y_*L zzcPTzU|eB%m*I4aj*!Cw_1u=OyFcZhM)QUh8qAw2_STL!*OaQj8Iv;4+Kcx$q`x%j zm!e)3?Hd9`!Y(9|=V_deAG1WyKIv05<3^gm7aMe!f`3;E#W|a@Jn{`+3O%o$2oJgM z?#Mf^@DR<7;lw_6R3isIwUwVW@rFyP`Q;TKm32EFac71b?uD|irWo>zW`31{1!k9nHC#Q)Dk`;-R5{o~X{#E)cWiQJ`#ggEFW#^Z8ohy> z8DQ6I)AkfGk(-fr$VHe*UZELKDCm8jG7>Xtzxat!`i@HTO+SEV!vG4 zc9ds^@fIh`WhfAMqIzfxjZ|%-ABa1pLw}Kj=kLNceplY#0E?1A+~6oMl9}JHiORZ{Ks_0*7Nq*Ue$Al-z$*I{TSx?d*rwdD&fAWW6FoI*cjv$Jz9@p*Twh8EJjd5@%#I<-sL=5OaM*Ka7 zOq(oM?c(_T{4i#YSgdPriIb#{LO|%~=`8KW5x(Jl2kwWB$Ip3JY;C<`e32HRF%-t z^8*ohc;7M>D|n^=lQtDHFHG^0l=-}P^6Uc7z=z8sqHB~FMS)Pk=o}`JO9lc4O`!o8 zboycLBpsAVL)SO^cEH(uaQkXXifIPqN5nXq!L8*5mBGybm;Jm_Io!u}cnc>reBRBI zW7HGV1A@Kk>v5y+DrD}NESZBo=8Ag!)UqRqT2p7=A<14@j=4(syq=e@=SXCwN6t4@ zcXlbqSdh5q>rdBKSiFa6G!xP`s1ndzwk5vazLY|2DG|0RmXOj)^nTEZPX%kv=7z|0 z)jD?je;DNx@(&%Tqs#*l+X~FUW7W-XsU*Sf|ybJg_fmcdd#| zq85kCq`uOg@0@=;W~S2&o-I5?1Z+7+lScIeRdHajj!Vg+=e446GMrJ`m$c917+M!U zP(xK|6bVZ{^S6f)5SHOxUX}v{3tf4B(iHgS{WD+n~rB%B+=_Oqjx+X+r91w9kvRWC7VXg3=w2g!O49blpq)G zUdMp!m^Wy)Q;RTf!o8>bh_5g>f@L3%b{Nmj*XF{hWuD!S46EjM$lqBZp$!Ev)`;-R zLJlvfI5_o%^P}A?XI*`F7QfyP;x6MMc%nrKFT9yH!qY5A{o{b5%5gp6jZe z%hbJ{*8fk9Lxx%meB<<0iNaaS?@YR!uj;)|B6cKiAbm_$X}4{QCb%h$kvTTsWxRIB z2mhRASIN3;vh9~AikyMX0^IL<*a9ELqVGu2)U5*zU)!Np~wsS0Q z@QZuF`yL*piiBg-lWa&zgsT$R?252G{h|osVSb-l#;IW3_@M5%cFiK`ItEgW1kamV z`lL1HT6}D5QC5_1kY@LU1fbXu#qaK`Jp&R4zPq!`;P>R)@Wxr*q%8k&6c|FZlqVW; z3B&l8LgIj!u=2jK-Ge&N&b)+mWf@quI*Pcy=H$TSlLmUd`{bB}33>H+x5%SGgsvhd zs`)H4!h?N|p^VV46SB8C>Lx(QW5&=!g@V*05$56o)qdM{NoVG=K1G0n2miI1hL-ucf%T> z{$vmhql&3-+^4sebxbHbT^}iPt-X+29m^P^KB>wQxDv>8Egl0P&>erK{`z+b<(w%E z#C%O~Lbd$^C&9&;mR>&Bygm6b`pa!STbO_=DyyORW;l!*F{!lzyaSfJ!Ub`V#h4AR zhG6oeA~)6!jbe6=neX_06V(XXmtAtoYnna`wmX9r!Xqwk{JgHW=Vy(!oz63A6EB1h z*!;L@bqtdKIU#{^*5@12Ps_XO;al!jBUpo+PGTM{xPd&o*FwjV%etfK1O z6RGz{zgQ(FN`VUkUYM1Dlq#E*;@?)pzzTiRRswqzdjpJ~JKR;pR)y zN6MK(rvVYdsH9T^rBhx%LWFT_-le@_oK45$FSWUU+&sZf{?orntggKMbLJrV9r$T?<+vD<0dfV z`b_+j_xAwj*&AX_LjOGoj~B-bQLvT%LeR{FokDhZdIzy5$Zps7W43_nmf4gHG;jTBfJ^@|RSX_QLC^hD^l2orqL`4ix>#;rHLTa> zRF&%z$&pGx)o}XmPge38Ep|WDiVPk_uayJZxlhkJ!dsfHSCx!sFU`7Ab+cHp-g}-p z98_wdRokCoPTmf^rd=oIM#WX$*(3FPz&~j=GSSXOGW7O%SsY(UZ&uIS53NS!_aNS$ zeE<7IYHJORFEe)b1Ue-PcBvk=f&Vw-M!pG8SF>G-(jADQW>)5GZ!u>s7K@$kM%@)Q zP9x&lQZnT_9(k-a;TJtF;-%Q-FiwMsW4lM+370m(!UB(_JUWnnKtn4KU)P4mvO32& z9T`y6jluL0+RAKQ)srSIFDR+0;$kKYotdjjs%JaHSq~2%{-B-aHYt7U0FV;aL zK`xWDdG8CfLQE=&-x64@E76Fu)E{UCWlb>t)hXWTVt=JlvREEQ4?O4AbV7(+lPxW1A|Jl(clU^+FBiBj4juZ7REs zR%FeHW>X@u^;kOFtH59Y4C41XB_Sp4)^bZEImZnD!5Md3eOS>VSE-aycAQu`dL>f~ zZ{t^L_XGG(x(#&=4QvSn@gW2=$>$y{eeb-1NNZJ%Z#ReNfEpqDUo`^ib0y3)EIj3! zvFtC|-i*HY+aysv;uU^2((sBJ0@MLTt-)pBD_hv_aG7NC7JcMgj-eT1CWKa%CF5Eiywb%NSaWqa_Xj3$i1+m-FEflffdUZ0}y z3YPVXKkKNh5HqzUvF!jSqiX7g{uF$fB`+>$|MDQL=YA1Cx8V3kGWoD-&G@n?A=@uI z%y{HE@H+qNyA^@uD)sQWo80Ps{F4rPq(+9cm^T8ak?*#~_mK>K29l}FQh!$%gxm51lPAZ95}mw6BOi+IRwXu?J;{KrZqO^wH+3zs@`3Q zq~BmCm$w_(a4!}1u#MyLsd*vbu^CH5Hq_mE+ir-E$Dk7@q{Y}2RHkuhd7`RVY5tIMa0igB+`R6=nbY3*mc3AeC)H6f0Bt!{o4ZlJPqpHC!LV{6 z?pS275(=OCC8l;%xzHFC0vVP9`IU23Th7p0y@%VE$Ri6yYV&5MzwQAnoBCSQMj=sk zUNg=2yBX&r`Y*q@OZbG1c(<=Vu(8c7)&T|rC}`;YYjGkU^z-xc*@pK3P>4TXskg#< z73VY`*Ibuu?(Qf2D&_>9&V+d{M_FeZUW+UotL_E$wiDie9@k#gjPHj3hoyZ&HW%x} z+24h5Ke)00UyKEQ-lms{?AE)}35_jWZ2m?)nua|(QrU5HwIhMtUzk9LB2SuogcH>k zc%G6JLrDyhC&>>AD6EL+%qyU(1`mMCmr!DVMOdzkGEWLS1YW!o6RPSGeDRF`{-NQI ziXKX~j}t)y0cXT-aNgbit(t+MOi=pABO_VPi#JfW!PZUkg)Uy%x8M<%)MvU4!3lQ8 zT@mt~CVc~D?EgpASH?x%bzKY6-Hb?gGayKJcXtjcT@oWDCEbm5BVE!Uof6V1-8l#d zD87HL+v|Sr_tSg>e#|*%uf6tKYuDtCvJ6K3Sq|w8o58{7L5Ta_3}5%@>+k#PrhBx8 zN${2NCAr+kza%K|@x=o-ToelL?DPoFkjzl7&uMXS8XAT30`C(?I22odOUfaGB7qKT zU>-NOfJ-Enm4n`VymNq^3)WwbgKc6a-mh#NPn0BnoL{?rMZy{}hZ zZy%LxQ9Vh8gB)e?v{5F6jDN>}5nnc3?5NuYYlUugq?UI8LYPw3!}vth3GPUor zcKD$kMK{V?yYBIewmYrT5yEN2ZgFgP ztmZ2d!T*wE6B;WatrDWkA!?sBngNO)s{a`*10?D^C?jpzU8nep)crlGYsheWG!Dw_ z66c5~b;(i?=_Tj9wgU?ua^@$JjpNH*N|vq>4@V8b-JSN)?>Y`H#kBlKhY&gx8gj|3 z0fNx!wh;?&_6c7b+V$Sm(5fq)VIuJ_*EnSr6@7lUYc|lyEta3xH32cebkDFmfW3J| zG7KwFLL!rzX&JD{PRmMqefRTv>91ZQ_}yl`kSnNY-jjyGA#KuX)Ub!Kl`DBAIi zvV`37fEni%lhO`|j6N~cj9YB5fa3;9CN;eDjt(BZcRY}rzCcN62`}B+B$y=tA&~w3 zmxM;mpT4?5Ff^jLpe?klZWnTzUP)YDpCF53m4_fNQ*<#o$pyUq6{)mDP~my9eEpP?_-<3ulvI4yY* z{PFe)MkCV?UvbI`4Lfhcl9Yh2dUqFjC)C0IKl5sYz*q^&3QCG|r|+Kz6sPlpU2nJe z#z8#GTdHr#w}c%suyIujgs$j5$F>jvK%jnCAmbREYu+VwoZNg>X7VXo%3=1bAQG)# zIWyXMA}5SeR5VJ~)wpfb^!Mgfx>a_DXeoG9>!*`S_|ST?WxQN;zYY!1H?}Owr@!Ws z34Qb9aGc&qXKiQhfe^${3eJ3&usm z)4;kd<);obzp?m$c=&h7?t>QLW9jG7y%x(*_Z^osv5lXX+by^2J{)!|5rt3cuJKGB zMW21x^|f@<{j-ztj8}`@0ivIs)|Pvth;_yCiRHBjNtSDmU0joz`eq&Go{ zqKBduHXddRde#*8K?qIbT#?ZwE0%7%kQQuXLuXXsL>+4HbF3*S{aj0_z3 z+efF=W)7mDx?=HH?vOfAg32RF4{e^56!apR4erg}-8#_gR@1@TWL&@d zE03^yC7;)M?|HMDawF2vAoVFjD~^s1#lE5bx+_+VcjMBHTJ(o?e#F5gvQ#!#fB5Pj z54#DymuZN5o4ju^eh+%-f7obvH87h~>UaDy^WuJJ<)Y_aSRrItH?*~boOj|Q21U)I zQPU4HBD_T0f8~e3ftGnMf#RgV7ovJ|HZ75`J7Z(EH2dP>>fS)lIVb5S4&9#gc*aTU zcfqf2SD=ZH9#;=|S4{pj_3n)93{;Cp&wVZjHoZeIG5WoT*ajU4Q>QD#j`z7tx|cue z_?>2EWf#|qRE9bb+PS1k7^!GcSF}VVaZ*v^vzav!sAeif%|#lT!ja63r|0 zpRWpoji9lGo76C#VBfPDxtw1zQMA>qZ+{QJ%^oHlt+ ziP^8={0kSaW0DxhV#3`N9`DW0$;-nMj?MG!(13QE@~&98-)q+i)}nHV9TR@}uN3`? z8XT>KllS*m8dtH?If}KcO-t)77*w|ZtQ$oIGh6OAUQYiUxOMJ9p&Q)3KOjx~KLjC$ zbAW+>m8&#lX!x2+Iut9bxH{gsJgwtX*BqZRU7%{d-x5hPA zn$4vromwe`dF1#76g)OD@fy3GF#zztZd5g|*N;m7FC_~vzG03)it8+RXRV&jPdQuw zt{=j-GTZ*R65sZxXbiRQ#2gHiZ#-d??P?0!&~RFDV)UM$iqGqnxR+qB*K+RGLV;1!H6fI7du+Kxp&(c-&Q!|hKp!1#+^-FZ zPFh~khd^8BWMH1Jxg5fY!V>nuFzUVan%pL1E?o+^tGliJI7Eo0Eope?z)TBvMDJ&- zs-DYlw78+hzgOmtUMO>>KR{K}^QmnsBL__Pc9_yG(}`3IV0x(yoUC>jw*ytLl|28e zK+mH5OI*3LD|CeL!_~bcobj_cH`||R-+Z%vYv|2S*R>^wA>%ukmG%l6Jz@o7-ULU7 zEatoy6Bmbj?X+4J3Q5D01AGH-;1(0<6v2+mjbk6^MMO-(Lb)aRGm(b|25jSu>+0&P z>-vNu7EOFFr7KN3Ns^mO^YSQH{U1)><#%mplxskFN~aPC&c2xt&s`1E#F-5O>sI}j zxGG5SCNW94hYiw{_Ngd=y4Oc`{n@}PC9gg`oW5B<^R;}DO(Kjcg-EYV{t%QxLJ4p`NvzC2RXd|R%bZzyh5BZ9aG;YMEI$* zJvr@DgPwq+fK%pce7N=Xs+`^(@s3w%8S~>a{x=>C(J*@6tq$9-9j$*NI*ck;+gt)V$7zV ze)nor6NK8w*l1aQ&(&O1-)mPg`AoGR19O3jZp3}DHqY#bCIv*k?TJB^wJ8x&{ZdaE zJ@j4A&1~UdAsH6dcN)Cf)8I1OPGE_gQ zklWhowg?j0BPRdID1BZv>wkD5Ig6t{?;N zvx(`ftc!GeSJ~YxKxM{t4W}zFj~W>n*;tG%%}7ccYDHUPc)Iy>R(5}9=O8}%?P*U> zPo7IGLCK{8UZ`);MeMAO9nGAqW06<#=c4=jca~OGwv!gKs`0n4aQ&JPdnT52fw60F z#Vj*QBOrQoT26pL0JtViX2g&RyV< zj&WA53DQ~IA`LQd0=?1Cf#+u2AZzxLXVF)UYqVL7XW`zk04)iz7an!SaDkDZ3{Hg7 zqdiu(FRe5LJ{=!z&ew2Qt46BlQ!!LbMOtiZd)PMl>9%0WI`Y-rSL=!_MmLKrl|0l^ z`0vY9>Twfxtyh_1-v(NDS}*PHe6=`*(l0pJwl@e-D6ZTxkPn%f7*|QkvFGr>#eMg} zFX(Mg^+Iu~`5)@k#SsDT)hn&CVGb970G*ME?iE&$;!%Kl+bMGK<5SqA@{fMB@{OiB zjuv#~Hx&3R-r11YTy^W|Af1iZ#F{ID&QdZNqRL{LA|PiG(p9TdaF|U1!Uu#NW$5>$ zw~jdA0W&}L7Kqw5ID}_FkAm%+H(^xwn{QzQ5F_hYM}CsAg09&U)kEgf$+ zku21UtD6%AWhZw-Pv4B_Qqy}7gDUYxYRjSb$yqT7kE{0Ub-G_6w6=4#%jwL1a>Z2S z^thwD5auPi5|NfNRaIF)^1a=Wv&(PB2;u(Wg6e-Xg8;?F3(r3w{nKm#%Rzk;Eer{( z*Nb=nGLc?)`f1^XZhhLy0*8l&pl*H5Rh?Fju~xWOv*SQ&QD68AyjUM1j-FXu8YppE zEkK8ctBM9HkGij@U#HkhYSJLx|1`HAe?y1yF?w3^!{@uGr3&aK?Reose3@{V6{T`S zAM-4aE9@3F*b=@;Sp#XrQ12F&&yIV4H?E#TL=p@6)f8uQiNJiF-Qn^w>$;)C`0wcbJ>`@RLV8sC z{0=p%$^yCK@tAtz6}?@g==2}iyC+AUhDfR-%bu}SK-)fH3XhyBhYo2YG4pX4b;S<7 z;-V9AFm3=urH?dh|739_meCizB|cpeLt-(?X8|J}gPn%vmtR z55;9F4ebKanNMtiKkLh?SUmVV#FOXls*%d9_ulsy|8~q3Q}TON@W|ss*ANz5WM9DT zk}fI%Se|}i(s;a)qYnSI`z%R@9D`;oslUiEY=z4`*Gfvye}4J% zHw)OW7p0}WiGu+1Hlm8>%d~%*pv(HQ|B_AQWk=g*WuGLlgA0zo?{~NHaI$>i_NICE zCH8+u62MguvqzbIJ!@gFK`pY}iO+NG(c(JFU75~_9;o0wt3HCOTfcDXkUQUkx3K-D zJDB0y#b8OyusQ^fNHslNaPKQHntn#H#r0V%^c`iKjbRdAe048GgG3076Gh)|{@8*F z*p&`p3mT<^SSsZ%=>!^y5{fy)W8&J5SM8`gB41WyeMCO;38CSCko|OQ{}4uIOdi7i zP3%g)P>5rK-rRPTp@#aUV0{W>B{yp4!%bjZHw8RW>w3eiv{MfuPjLUc6e~hT7S`z@ zpPVaMsck9m-UX7Otq6@wK7d)d!H_vVQ4St#`ME8VA=O#1LWTUdC2f2jIJQZ>m!)a( zJfe49!uarLZz>^Q1O@fdSr&a~%0BSfnio;<^c}yJx;SM|2|O*Sa7%@#)2oi<3aC3-_yXWygV%c8;xt$H$K^7k#T)zc^ z$L-#a#v^mSDzdz4)Bo1t)$sE;$b^b1J+Y3*+2z7(TmptfWCwjtqcKc7-N+5>jfKP# z&AbF*r!Nhd?QOi+Wx`!*#8-J}3#M00pq$D_@rBZo9ea@uA~hvzzYd5Hb&}$%&c%<~ zjVhs}oigo~@;Z>OQMaOSSPUj!UkmR|L=*D%AwBD|@-Kx>b3KfIHaSbVdA@Q(p_xx3 zD*et=#K}YmGtU23h7JoK8_jXR^ydGtdSDc89!>%Qb7BXdGGH*0l#V4Q@xP2EGjikM z(}qa%i>$RHA7h=##@BSid_U``QkRKM8?YILYs2XNWz zD5G=uA0$ehE3HETNt4-x7 zs&n}g;*O4F*pLMEeQESCWQ0NoPFSDOVD&+XqAp3vuR!ijv3D3WR7M{Xa9IAM*_0MT zfGiLN@V8T%QGMzEh{ia1EY-{8oam}aV7-@-x59=#R3EonkpCGDd7i$Y`V+a$H*^jd zxi!xL8kYqzle1XP849_GTGW?Sq5H#&7fNW#xS)Og)d6#k_Gi&!P|+E;PRj_R#9~W^ z9A72?qM+7g$B3ERrQRerIXzGjr04|E$H_=zAOYH5fdI4*p@;>}xgyzX(G@zP#^Lsyokn4~+UBbZx{d=YxlXb(OYYtW6UQ!NiH8@ruBYH!-BVd= zhW~-dVJN`2Xg_HNIM3{-zj_g|4|ce2PaAfAf14(iPb7Z<&`WT5%4_&uWYm%p#y7Cx z8J(j;hbdti>^D|(+80Nn&$em)ajCHt!F1LGjp*iP7wl_nPys`uxy%Q=$lZJu)Ir8+ zLC@OUZoCiDG&)eMmoG)et)!f*-;2gQ)bb4ZF{*A0@BPGz>h;{K#8+R`?&$ISrwzk! ziWc9vqXH_3ki5ct7M~R-DCHx58DM&hgVgORCINhd#J}n-8>%m)Ayp&N-s=&qD3|f~ z%SHqxex|&o&fnL=V@VJ=I2JZLvqKA6W)-jSq0r*t$r=rJLce%ZPDJTB%_bW#Q82D4 z1Q(=llD-d4qf)%`xw+%-4ZK4))cqo}%=mN?#JpsIld$$1YwWre17M9>dm1OKr23)R z$cRgci%}!|=-uf>SGuGQUw<>^eoTz}a4)k%J}G-sC&Y%e?Y?J2ux(`F&M4=Ezm&JB zFuXO-YKf}RThql%y1LkcdvW15)1I-#O6}J;vBmLfGT4;$!hAFBm7>Q5r?uZ(ED>y; z_X{2tUH6h!i3ouefnuX0q`q~6@}XfuA*;Xeva~0ir1WrzCP`}~C1b-;PCX$=_Qxa_ zTisn>kdJTky4znqcDJW(3GBjswSPY}_x{(XoNaGw@+S(wbEq^(sPp%aKthnHTl&#< z=0KTl6Q>*3|2Q3?2y%Lj+j7(*i%ri7d3ajbRXG(c>=T z9o5V`edCHSAbaq<<}Ro#Bj8EVe#a8gBk@v3-yEDN)&#Wgmdu9h zVMFcS4p9v1UtL+ryUmaDRYui#YQk;Rn;;RLyZh(azs0g<+@Y&TpEc9GB(@n>Tc zc-zQ-$SGkGppsl4tZ)#2C&YD;>MhTvr{YCM)(6QTWFtbd_QfTc_qirsk8q=3s)DNY~Q(`-1z_Zgwc`80PS7Ows9SpYYP`RFVHR8w(Tj|~3e;D0;ny?(O zB5i=7yO~4!L#}ySTJ3QT2}>>*N7G}7@=Vw?Nz<``<%9`5q@1a@eGf$ z^fsq{?dkI}j+>$kuxW4i934cG!5@jpKGC#?etye>tc z#Zu|TO{%hj)?3n~0+~0H`a6N;g7j$eEpEs3C-VFyh|;&r9FXk~nCC=k25KfB)|f*E zC}02lHw$2gh)@9*f~TqegeK4jhdx=se?Sgv+40bspQo0FO3*;`3Si`(pK8Ur_ooKb z%EqYzg8}Wm9vjw6v;Yq0w2le;wKorX=y5|AKQZFgE`DM`_svux?e4rAmILa3sN^}n zaY1+pyw?e_MX}-=Zh+lPULmPOC{Q7lnB;gXbg1=>L)1{M(imIX<^R4NG+&HD*e1~v zJo+U`k{K(7oav56=MVmjNfFF1d6oHH11<5V!&N9R>4@Ld7Cn6&grk%d!Gc|KKC7LE zyzlBQFr@Jc*m?8Mjj2Y02Npn*Fplvf1iq&JvhxvZTS(u1vqzkM&q04vea$}oe(JMRPeKZq-G;OQh^L8vmOLTtSMmJOw50!%%6_YEVXxj^JrqS=fwW8 z^mg~8K!Qxh%?qZ!LqL3ZYl0Tj3K&PnqhC}>amF=%a#|iY$Zh!mWr24=$g# zkvIE0p-^zkg^fnXME94~Qe9l1kl$Y0t#LefKYiQYnEE7rt#Sl988O1GxlxRj_)c2( zz~v^`Mb&bzPnL#g$*kDA(jqm)*^YSYFsw?IYy1ZlY}DhJkxK|_<`8dDj7y&gg-AgN zZPvy8?rf;h+F6rpzN)2l_4YMII^{R9tHmDp!8LD7hi*uA4Nw>>V0 zny-Xo`hOMDqyU!&mMxRZpqxU)0Y~uhghlY}MucAp;JefBJIHSg6mUEy_UXTf>KWGP zG-Al@Ykcef3b&_$gBAW28+uzhxE?g#rLy~$H0{dOh&VTDp6Rl!Q+cm#2N4)4<<%C! zuV9n*8SLV+GMy3}X@OAB;eK;EAH88UTF=lC)nL34S9?A!ySWqNvB8vl!vp6JUklqp$+_E@rk2f@$z zMW66o6~I4YmfUfUzIS%U?hz1gn+i5VG$n)zB#^grq!qQi2S8z z!TZ8Hv#UFY{C5g(BZ@~ZgRQEI$aAEYquoQ#G;Q5r3CqLd3V{iGqRmpFTrmLrBt5xvY;-=!r740v*9(1RuYaPYqQ70Q4`s?85YfY69J z9?S-WV|r&-T9j7gyyW1j=Cb+gy z((hVE#5eHB3*dWDA5Rdi4>cz5-z$ynH$5LkhzqAo5}Qb}3K~vDG%48_%h}&nQuLS+ z$PJzxOI@)t-FJJs+mve6U1e0xdQYP2ok ze=1RB&dQnsWD-@aD@fv4R?nmhQ1jv!?MZ#g;2kha-go67-`}cZvn%C~wc4xsL9)a5 zFFwhuLP<9Yx!M!Lo#eugG%7 z@@(sf6*4F?4SS!2*PejosX18o>g`+pUJHTC5{0>cTENEVK-q43F2t{e(?Ws*hTC_) zY_rYC(tLqUl$nYmSS8r7*OgV;)*^Ccw2Jjv2{z1y%gu)ES;vD20mgItzZW$+t=Ha~ zTxG3dHLS8Gbx=;>q5wj9^MxLQN+6fL9lJPR0TZvnl-^pIq+BRSS$ehd^5Xi8-?S@D zM{E1eOJpdM4H*#3#ZY{2Cv`84mI=Uaj(xvEcf`oZJ`{ECtYxyb#mV@EIBuN=G**vjJ=KYXyOUS(KCMU^f?rIB_ z!TPjV*s?}H@kwufK~-Diy5GYa4v5I3zl)|xAFVM7T)QrS!7-gc#Q0g`UK!4hRsExP3&!)mJyJsCaVuC<5x* zZ-`02$ag76vt_3)*Gb@gcXuZ_KO$Yr`OBz_FF-mV_tXMiO|fvyx(^@bWCx5%L*=!P z{KKW+7}z%)!@Ch#lmEZ!nu7@x?rg!RwUMEV^_wb2R*s>9#fTQi8zT(z#ot1f#z!Lb zEZDZr&Uf%($<4L4G%}lAbPEa%HRN_4*qU8K7%c`|Ji=`od%x6mNz38-r;u|z^S(8-b%gcV?@Xzs|+>fhAQ9}2=ObVGN>@LGHe^rlO+D-DO#3MaL&O=Ba)1h6G)`4@gLsNp$YzGFnXi3aK-K4 zr9ePLXHi6-qe~OeY7XAxVtr;|4G-bFx24QpF!QU0?A_BLx8GW4tQk9Tu#)tsD^{de%`0QxrqyvkZUC%gjzxyQ zCW;V204?x$1VgRAkC4dsl=rYtB*v#9>U}Q3XmKqLJp>4d_XW*V8Yg8}p4aa*RQ5J% zY63nymuCP2gIE8{sVdM5Tsz@H)z2w0}nGCkZK;t(+D>4OKMke8r$o1>b(BDT0u*( zW=VcGtYs!!Q&JN@c7N}EuN*mFP9)y0dQ>lSEE!RLC?u&+=F38ZkDr5^4zxi)Q|De= zZX}74)2t4bIXGhTp27UX2McN_R#dcvl$u;KO7X~o7u`Im&!*7Q7;b1nGZ^i=mRfey z^U#m+`Y8n;Dc5^RzeiY8>7m*&S5%P!;%SJ>_JTP$2LpHqx%Ef!%dK;y0XtuzM~;vO z_qtWKmX-JT|969%aLvxd_lrAP!NgRMbQ*O%3&|Is(EfxrXdhqyu@@0JL&3ZZP1F5T z;rBuq=8H98mNKKJ@oElcq(B-fZR&{&O2Z$5JoXt4zR2YaBx1KHpo0EW7utvb6n<=Q zD``LjOq1Trk3wzOUscJ^^G{NP0fGO%-)ZWEwAD?&RNP51k^9A%{<=`kMBj0im#33Y zYb84TsW>GS9sWyC(m??_Bo_9Hpm)~;Wt)%|f0atSAmzcSDKVb1m3HA$7a(7dInI{j z&oO$XQKzP8?vvi05Kw>kcDz$*QF{0~Hp)Rd;R-9QA2Xe0VQV4{7a_^2=VBQKi&rWZ=yM>R$+aDrb?Dw5dCt397W z)5HxovTIsUAm0(X6d>Zs3GzX_az>k5?^FWZFwylW;|V+rDu;SGV#Svn?ikU7t&DX| z``0peH2)rABT0mGA2obNXZCT)6Vi~DFcYA`YCCuiywck~w`ZX}|4_80+Va^U?~O4$ z|3Yx%8L;B2^si8UjEEl6-SY7XTY#%u9oXUCD^BkiWKH{90>l=?07}MqTSSfpXtt=# z65T|mSht0eJeI?*CRh`ovJb8qw%4(yzajND27qkJHGgOY`v9mz8X$NwZ_n)Y*-7vU8_GwdAwgHDYDt$o~N6+9By`&`ni!qct6rF z3HwVf10Pd(a9b%48k)6k$JT7&`d|?vukq}-{9vS})jH%VTzVhP#LLgHbR7--h?gZw z162)s)Kf#HLwRDs&k`KYTVUDTeYdU)tc;v!YozL!^12 zKkL0&ROX6~j^4F3KSg4RU8(-W*Cc_Fk&!1^d_rbsjh&ICVVz9}Am`_;U>K7sA}1#&h|eXD&V|R>?#ZsxWyi9v z-|&2Y;`P>ii+sAM6@jmip;v?oJ^}=2mQJiU1C@MfIsUy-EqL&!VD3D671|ppZa?#P!ZtSL+4)z2iyRLaGY$nK(w^EB}>*_8PoTez8SUC$S z3#kcc8bo4yoqrkp8H}R4p4ZjRh}9q)hv+&~P(Ur*`j&q|P7eVIskaouXm3HXY})`kLaqy ziD6hb-!{R%NxjXVy5NV#lHxU>I4R0>ZKFB#81A$Pg%|Ppm^8R9p0)lr`s330`5hNK zWv|APN*rvrW~X}#5>&orAwO7RV8%hIO1lr2;LF}?dB|MxUS1N&t7rAxrFE%;Jd{m2H|5K3! z(1DJ^gQ#AkhSDVkU;@8=rN8ieQnrwd?cQ|gbL=W_4c#f~+pM&hte-h#j}4$b6`_ad zOz$N{iCS;cNulTW3V!k3*hCYcQVB^F35Ri)AGZgK5ua}wZ|x`);j4*Fyv0=yrdvxn z?&xDJwez+7Jbp}(DPEisUV*13+vlv+MPWd?$-#kL({;}*@^JEs zaGn+cuz%$35$eA4+|uOe{DD_rU+*Fwk@`U;BgE&t4PB95x#xY2l)CjACMG7|+XI~S zcgJj`BEE~Omb*TClMfmv(M4ROO+P&Ju5P4<4SG?zQ6}(7y z_jc+aC|03bVg6{LftSi&I)*Vr)yF75iPR7XH`Q1#_+~L*lCRvRvFru|E5$+5(=ij# z(2Mv3KVH!EK$324PYfpt-)$2pnn6X`hlvVwIz(Ns2>q6KrEcnYUUPcfm`nTLCb@#r z42Cn2MEBT}8hYsYD83rJ?wCoUsHS_NyKy4#r|Bd()vPd>}%z6?-h z%R2>h;5-xFIM^Aq+kp2(#_dTXRx+9w9d-LFyt3X~?_@{!fw#q*%#5L=M(;5h78a3nD3u zRv~QD_7vG@n_NE~)esHiY$}w8-{%1}!tv8$&m$_VCvzOHMOPmcmyFvz59Nmd9kAkQ zN%NZbcFa4s^yyz>nu8jhs0}#(2Sn zaQi(#G?l}2oqpY-CTxC$g&DQ=$-#e07=6?USf$8Lk7}crAA#^VyFfxHuRUAc`=|+Z z6U`V8WNfqRF5#yco7aT#``%=&U)$#a&Q&D#f(u@)LEw8i$nI#$eP(N-J+NKQQ>z>s zKQTG2QW-VOgHIYy@(v1xDEyFPRVVKo#Eg3XF>~<{wOr8B40S!(OO8WmXj>%C>` zXY?5DMpPhWZ`cll>W4&>@o^x0VbuF2g@wVrv0J#@=Mc6S$EBg>lmGt=QaznPKv6cY zjI||4P$GSZxm(6!j5zB!o3_yI#eso!txmD=R`qN?<2JrlG|99?h?$p><6F$V*8aq; zr1eNlnLWvT&!|1bn%4}kVV z?}0O!1hB(|Jxg+z#cXi4KW-}&XdPF9f4U#~)_bj3pVO8H9{^v$a*&v<1KAE4PF z6G#nQz6aR!cF212^eD}u<+%F%%1j}fw&$4Nq4e+WKS1h?$Fa`T4tXha4KB({l9-`0 zlMeu1+~m*ms2r|%jye`g%HKQpwuLgf7j>E+4tE7kl{+z@Rotql*l>UXzmUR9pAx&=88-Cm++ z4`*vSFKiC79cD_Dmp_6+t4gGVf;((+Ir4=<*Gv4A&J8t7lzJqwg+qY2PB(2`OD4hjBa2=+vuN@a z6lPhpmo>No#FLM0mxBmNKCB~3FE(GIuQzEcZt=lzWK7Hr6}fGj{C~d_`t$3Gk;xV- zTXyIzp*X0yyQLof2^#C8_Gzft*gL(b?0|gLG?{%uxj#0*>rJwYc67;tIUfrp6%uc2 zqkUl)t3s&r&8ns$jO*lrfbc|HZjN)b!XPisxw&^>x&<@kQX(lB2$fMZ>0Q(WDNn&9 z&V5+1Sju(t1;)InOCLi*iBbE6{5m#vx2qTs*JcG9Drnzz9orqLY3diJ9ua;0?1Qk4 zs+#$0M_x_y!fNm9h{pN?L6EvJz!EU1K#iiA!?cB$wazGW+ETOVPTMY%z~pC|wdq z^_E2w1HUBLIC91%Ds&8p_WNh};DU)Dg|kO;D{sJrVgz^>zHxZe7W$E<7=OZ&UCBz2 zu-P?|wO@gX0#?mkYBf#WxNKz2M%mgS zzu+S321l3{FSi7%5k)4{`mUb^`Ur&OQfyC_s8m+{g6`QpvWkj|%g2ZF?bGJ(pF6_+ zu0DS6FN_oU)LU%?**CgcEaC9@b4YaF zJW8=?+pQTu&~G-$*1TSM@BpWnt+@yUXs2qo4{)=XhZp!TUJ^tDicGN2xE|p6*)jHs zuF^6&&~UF$;j84Yv`p)ke50Ed26l5fc^nA)x zpr|%)uGvO_DskSnXd(a1ol0k3TYdjSuKnNMD(auZiVXokLEjF=_$xh-=jU>yrj#(( zYCE=f*<(}61%E`PL7s>0l0P#gz{?-|&F)fWzEDwTk@uq5XR0yCgV3u-xc(cwMp zejJt+|2)6dPd%H_^@MyoVjzpyd(?+r(&bdY)9WVb**V~IKfyzMLj&L~g~QguG*V=1 zB^RrOg0(+!gfc1Tg5d#%v^VC8zGrgiN<;fcizCoY{M@GagOZ8SSXx%Tu)QC*9(P$t zJ*#N${IC}_zff%)rE3C3ghHWgpFJ8WPX>rh`#)({h?!S@|Fy>(9u*ZFCVRX-)}pQ| za!32wVX2^7hlYc6=Qj&8b0n`}s*wED^$wt0t}o5?CjmUsj-34RKh^p56+F5)TlOcM zH*yS#slCl^VH$ZHYLEYgwLq!}1d@;C{`0UjH%RE+(o70kubhiiKDDx{iPo(cod%Wo zB5)X;Lmwa*|<;wtNN^eG5z#}JYIO}j-3 zM)X;f4KZ}r>cYhxIU;*Y3p7$bO|$V`SxWWh;oI`Nfj^V$9?!HqEKeeoL+2SL=P%sRM5l)b`=f4CVAiG^zC*I z`4AuqF+j&xTY-NrATzh#^SvS?JbU|)L#vDxr2(N!n(Lu-nJFJ0`%3g3_Uq*B9 z@CSSxf?K*L_}y&LJIte*Vl6Cp8F6qIxeoQW&Ge$s#oP(P_N;4oqI>79VOXje!A>#v$;dPLMg+2u0jFNC>qfsI5$AH+wuK`bvYhW7ZokhWhs zg$;4bRauanWk*|qQ04!5)XVfxP^c=+{Y<|ZisxzJZuIz+zc!Gv;CjOfPswl0j8dts zVCJ6cT!P3_c;KxQ>-4HoGM+jxwEQA|tvo?>O(LqH*lina6@`GoM0=+U$l*D}p*~${ zX5b@z#l`hQQ#tDwcunYx#7?hUB|-HC1w{>E)5dH_ljDj`82{+_IO|+|f}Yw_&-4Z$ z1eZtd2VXk35OSeX<>&a{+xiLLqavRIZ6GR^S;gsUYtkctu2+UlP?Y)YW*K3yHZf)? zMp~R%V4X#|0UO8Y1&YSRlIM?Fw1%Y`A0M)U+2v|d^#8a9pW46y*=H7nIGy5XHhl$r zkJZ7X2~~3R15_d65JJl;(Z`>Xygo#<*UU!&#d^olIIsQg-;(v>SR}>A=3>pPx0sCxua&JmA1QEIp7Fy6Gi!` zuOXN}8!RT(r-zAVrJTtg2fmZEC7|w%Cg0Q}H92X?1G#-Ydf-d`Ae~EvbN9BvtX|g_=t3mqF!8mawJ*&qp|| zX3qhwh|ksA7n~Zt={VLUmGeDJ>trQ`L_^ju!XdI(SQ_shsT78z@+)5QBU1)u>s)mUrA+EVD*_Sr3WrT|Y|uUhW>|tf-({+( zP0;X&>QIAn;%a!wN=y2ZuMR$XoQ}P7IPLzwuV0?WMvLib@e zS4gFl%SK}kKguzVy}#C7ZILcGTNhCI@wa!X8*6s)h7KHeK|mRO&>iokI(|vPT-9ia*KWIZnT8k}m9Vg};B&!{>yjp1 z#Y3|re(B0TkGI{k&CaI6n{RJuT`apE?~e@*;oG}_c3=7N@sZnRf>c3Xo=IB*lsumI z21y!?j~#cN5e%NvzeUUHljsMwR_4pQ@VU-u>)P&O{aCOw)B+U(kUC5ZBUl*7qIe6? zAc>`=rB%#XpJomO)O#q=e{sKU~DJkE#XJgG?g zd^18KA{hYR)X+=vOAOP-2liv*5hwRXS^xy1!8FE4_$j1b8yd@E79{wQUw2nP4f6lC zIVgS+WS~D3OGajbr9p%Op|pa`Ji8b1zA!WX^PVKk|99W*kNr4N@iV!kttkqeJ_S29 z$iq&OY9k(dZ&VzJGYAHQapPh+>LN&hEL><`1<#+aiboYtrwHiO(?8>>{{H^n<3vi5 zfU`0?yN=b=r?p6SPA2)F-+MW+tXJWa>gXo=rlGJsRE?zxj<(UtUKz)JWjwcIRSm?B z4Ki48{Rv_caiMmL6w0d4GRNvyF`y6B&u+4YPL#7MObSX3sgRWvC9Rw!_JQzqaA(Rj z_-1K2rHNiCr8ylDy2_|BFj6$@kn+P zzB2Gp(X4dOp!o5%?Z!%Y?@^KYU-nds8^L=#(BGZB{El;oY%e`{i1_EjWbRBU;h~^C zdiF?$H9xoz}m$@qMuRVq-mj)|0Q^>W!GQRZU|UOP+h%wkz{KA->r!l~UXT&zZD*y57!iPDSu3pU1~d3&~YO`Fcq(~e_@=VC_9O?LwDTLo~> zkqF9e0VIyA)mvNU3Q!r}Y|o!bt3~TD+aD6FcVfn%o=ay-29=8kBT3^O|6EV}ukIj7 z?2zV5NNr0CpEC2%cgK)unRMCsohV5Z!&bNAE~1^w28Eb1onuP7VuFt|Agq+bEN29HYC{|YqQBt{ur|Npr93Wlh*wrxR#0g0gm>F$(}PD#ljr4;FI zkgfrgMnEK`ySqVJS{OnQ5b0JL1bi3g9M5yU?;pVIwb#Dxt8QHX#yGoq^a*cbUwx?$0amD+%5;HonG31pI7Tl|z#RBEXH$>+oO>bi0+N-Jih^$2M zsZ#ap>i$m;??CX6!H$^E(`D8ZWxLVB`A%QwJ!794!H&#~0fn**O+^O)*`4-tZs z5(zCwqr!Cn32X)ePYZHQzPp$So;QIic-l5)C`)){%vxk5a{ zXRwm#z@CR=CMG(1`aI|r8mXW&ohT?stZxrq#i=HJtykH6GcwR(B&w*YG_fLT`056& zPeaX38sZS!L-w#MJJ_@jrFpT)|BH0VR5@(%0({_%tEUzv{x(|g8W$InyJFz8|F1zze=Yl>`qOP-2l6>+gLJ) z>(;YctJDsEt-C1gSdBk@mC+bUUgP-afefYz?0w>$zW(VWf%UOBJc6!lznQ2-of#4* z#>kim-x5Qfw_6|=qE2OdS&(X!O&ZNHV;0aaelZ`6RvNw+XCcQ}K;=p8kiSd7H>C84 z_<2Oa{D$}Un{~AFqb1xMj?#Vuj-o%GNVSL1Z$D8pLXJdEza{ijiI{);i4s2^_lP=j za>`R9rUp9O1Q$!?;PsB?pG9PcjC{F`x&|SA=C7)CtNsw3$>;EeJB2Y>>R2nZ(-OI-}$)1 zA@y(E87VX4t;Y>UluP10ZDC3vS$`;0R_!pLhS-`ww>E$pj@P9`lZMYQVOxk+$IUS9)Ko)&tpryH zlGgZl8iAs4h$7!2<|&L^me~H~0fEU%BtD$`c{^b^j2$Et$1Nl#nT9$9UExx9Rw$wQ zT<(FM-rkd-zUcV<5Lptz6!wS5i8TV6^a-$`u4qbe`)>5ToCB~yF?BJr(-%}Iw=fh0 zRvv_Z{20iU1nQ80u{6n1mR+y*wb20{A-%+}UePD`2u`3ovrXyY{$|C5yZSgCAjE*gGT^Hq3PuUd=mv1HmF=uTo=- z!Frl#MFz7f{7I#s93Q!1H{V2!*PVvVqG9&kwyD1Y9=S*BY3z$69aZK2(dZ@2o&@xh zUfKHCMhnMoa3jY&eB~3^gukKO%OzR>%c4_Vvv-llw3*1|(9)vgc5qN__YIK`3~8&3 z-MmWXnc9+&#SuzdSm1ZBiZ*@^2}NAJH|65k;KnJi93q?l@jkR)VESjoNu$&qwseBO zGwYQR0no19E}D>k{)9E$Kt%9Xt?PnzN{tV`-F#irp~||(wU7~SrG*?x8No*{cWdQ3 z(caI?+a8ZWeUCCCh(ww^kLC$YGL@4!xj0JZ8#Ftjgg*2WJE~S0(^KW;- z9?cHTS3Q^**x1u3Wk5*Yu^9@2qSBWGtf^WO2iCYpGpMA=D<|gU3xwX#4o@a9Ye1sa zAB4vr}-!R#ui{%1C zS8q4<{qreNj0|Xjb45}^Lu20@Scr-i$_`PHJQ7G_z$8}@48ykJtC*mI2fhL;V0kY= zJCUvRGqu?uA>xG5aFY_9ifP}NsHiDLeW0fJCr2ubpDp?QQZ8|&#t9B*BhX3ZvoYTh z>eKk(bBMk-S2v^`8ks~BQ)l}H7Ih@b_iTyo=Zc8@DUSFR*Twnyw{i2^7TWWQXEmWB znwAog4{?nqHR?3JK#Z@(<#>3ke7|Cs5!d^w;su@~3XOaTrK;m;Lfy15bde0SCXOJh ztj-#Paos|trU@|Y`K$qBIi9hRK(%{4&9R*lc_h=aC1LmY?6cFY*03a6W0Y1*a?`@_ z@jMyql9`3A_VSeOtRRfY6O#9m&%TSjXTBV~{+{q_3|rn^Et|~K-JqH$e#miHMa4bM zIXUq-@9m>*5Ka;XBB z@4h77h|AFKshsqjFZ8;}Mh-XbB=UD@YqKf-DM?tzU=XvNpy5oMK}uK2V=)Sw3miuN z%{!V=rkLzG!X(@wNd9R*t6yln5h$R05TfDlqRi75Ud~ z#Ugf#5zd#gL<0Z1))OfLbNU}yeYv#b)n^W}Tg;GeVpM_I$<#g^=h4OgczU5 zB8r`N5kMt&yY#Epq#t{Mt?T3!pS{9|-_?SEc*jR`l#eVDB42m-TU-=e~J_!@HWy zY6KJ%D)Ee}(<%xs&XMg@Wa@f)DdkJK3i#yF5W4EzYq`y~1M|tt!t~XhIOz*Hysamr zP5176JGnXZiZ|xxZdd15K2#^zcAOxLO>Qc9E8Q_WBK??)mc+ftPeA zTjOz1nx7Gz?Mzitvp`3&1iP0GI$_erS9hj=~MJ)L)$F(GpC z(MWSIo5?%?4+A0Kw3M}vk*En@=EusSsrq!sn8Mhi&06E+!40BJ4yW0qClQfj=k06% zG3cJx*Lx?=h!HcHN)gbvU;QI-v*!A&t*2v`5)+~MNb2IS7>c|#?$4L;j#OGJc$r;6 z*!TBjucf34n<{=$%Qo!|re&x__qT=Nd`akb&)>~6+4wE`y=jNl`Q-)`z`Dlt`t|t_ zdLdJK@6MOc=By3CMW#z$yPGRB=s9V%!!~wup~ti4ogI0!NqcBsj1x(D)e?!gs>H`H zx(Mth=r^}^E1VPNui&0v@y;HeBXW%&isYDQ=NWry^ygYAjD-AHa`odETkrSY0I zeWx#7)TLgCd~jFRqC|7%3D?ef$fq5pT`6n4cCxi5vAGrg;h$JBHUTjg%YM`{P4E9k z9};U)5)k9WonHwBf7NsJcA;CU4+mIezK>2wiK%78Ok7eyX_a9#XX!>`BG)hB+iy@Dn z`(N{2gQ>8&+k*50CZTIVLMjIDJKk2t+Ci`rN)ZpJcl^E)HXiPRvp~lr1Df}ncWh0t zJk+IsOIC($6ZcV3Sz_rJb3C0K_lRwU!s35nYiSndECNC0-X(TFI>8Hd|FI0w)wMMl z_7;zvgvpCqRa{rpu+Yy@*Jy7)s7fo-Au(f`@-wUi6NmlO1dDR(CM~B+pMmi&i)Fsn zD(8d4KrD5Af5|SKON0sW5pNP!r#G8IKED-kIchUissMaS#9i{IwlhY*h3f)ol93^+ z%pu{c!B#0`4-(%?I5Gc9*mkHdQ@MK}q{vrVcSA*I5#T^O-}E&3 zNrj<)`Q^&G{N0|qcSmjl4i$#&lrUmS7bBu#N|BDPs;$CR5#dK=qsnA8Jc&m>k%-|V zPj9;)zPov+mz$-LV+#M{8r)IN4}`@TDUX)CRXkfenPXTvV%t@|KwcGZ} zsWfzz&Ep$m%Sq9~i0>Z9xnd6sB0g7MbQ2kvFL}qo%AQS}f!)uV2#or+aV$4 zEdh6RpqBC1Cpl0ttn<^AMy+!^O%QuTE+J`sNywSOb!1yhtw#8Z1xwT4T*W#C?s?w( z5hoIA)j@h)%iUq0W@eIZcNvE-Bq=<j)?V z`U3)j+-|HBu=yZBk4TF2qcMhC1X#XgNW?;-mSvfn@W7xdr@vfbt_FQriVkq7T)Az_ZA_L;{17OCl^B zWf@f)7Q&_7bP1+3yB=3)@q0{EGzq5>&BvhR^Mkg;n&VQh-DE2^oF{fRGdp~olPfaS zzU@T2&9gHRoC?$O7*={da{c|-EL{o(Q{XJ*u--T zxH*`TQY6E>1+Z1sYcj}lY$y<#AE++wtg`yKe$`ZufLtN2#Y0`zy&gN5IDf!}Dl~+p zmsPcnS!$RYxyc$|If!OPrsT(u&*(pEZTvCJHqujbw2NSgAk_ENSPe@9rD{}?ozLmB zlMT@Zrtr&=7N_K7niw3inzZWpX|`_fm?6P2<|KU$n|Yr|v1dn2HA2*1)UA~F1Rpm= zzIiU-p0Lp@|CzsF`q#JFT_VaIDdFoi=fBm7+Y*f-LZmC-$0L_#i)8vg8j)7ek5*oj znOBgRQN7j@tqT^hOeA@pmaV6CmSV`1(7)sY?VbIxu{bn;p-Vg#=bNz`(#rFlr~#D! zKV!UNW)u%_K1zk{7lE0ro2=kH3dgFla}u9J%$+{BM)DfF)x9W}ak+;xKOWQnJtZdo zb#iYGbTiccq98CrI*SL$6>-_#KB!of>aTHjU21W&m7zt0TWM8>p6n2$RB9HYwf3Zk zn1CAi3!L8m{+$ewi`Dp5((!jI{oNFo?)Z8SNl^;YEr5n$s>Wh=9|Fll$7dMd{G4N# z)pU{8vegxGzb@zj!U#0f%L(~3($pu0?k#mZ4{Jb41_rDeb0M}hz8QlR?WG2K#?J`) z`^DrMIxTjsydS8%+3U!S3`@V;>AC-<-n(PlWz!RvE>#Se&({csgd zMk!+PS6NSl<*e0as3UdLn-R>sOa z^H{@vMrrRP`11=idYBxgyM1-eq*1s{dZMs3=^B^K;5E-!ve}<#$nCkjzk=C^?El+% zUEq%APGc8ch|?l2`mo;U37_DuYml|@hvE;)`6POxyS$#7^Zg6V@dT?CyYW{gFvD zu~FbqZNYXq&v1PHqt8bxNae(uyu2zPvV3c)I` zx2T|SH}VG#%Y?YNECpyVD%J!Ys<+!-BDE&kW!T3i*3ge&lgkUFM2a0ZbZd|O{e>3h zXM65_qdqTYvSscgQ|AThxh4jd5>_4hwsJFMtjpNue;MNcTs7>HB_K7&Td;gBWu^4W z!+N?gFk?L7pn&Ojn>X0dxLMJ0lRZ4FwD84C(Qdh?h$kV{<885KSvI0XpOR0q7p zko{xd%dc9B%(l4XUny1jTuxzi8XF1sjC@bDNQ7Jq^|4_K=oi#~n0g3uUTA>AvGrUn z^8#S{Tu-KSh%6~b?+>@#8c6j$3G)zZ%UcR{Qv!u4dao?Hb?;H~!<$b}Pp897`lF{- zIlN66;l-hsw+qY9Vb(L{>Do;gI5?a?MbM7=588i4i~YWG5q0RA#U3=wGX{%Xvw=A^ zoXh^D^gtgV?r^2}ySSG@*l>L!dn9$UK?|2;-su{3JaNHWt&D{4L^NM1Ir}j>LJLD# zO{Lohnnj1}j<;UaP84ZUhKl)P;Ri9{iUGW+rxE)|A$BO`v4eeEDU6I#&1Hj7zhS(Z zU7eufwemJ4!Nud_soY8=>hvO+oW8{Gf}DNQrp$?z0y2w{+C5x_Vf1A3dH5F_1V4*Q z{GTe5o~PXhmBMk|h|5ri1uvo;efNWpqq;|Qw{Oxk&UCq2U$p+Hi*?4vquf!kO|(&A zo?%f>!>}WHWi-Z(5romASNfNXWI2CF+x*LKS2$u8?-c%p;!qR}nitokWBq9_ckl4@ zKhO>Ct4gNvSGl)qpr=W3Que`RB_TeX>Rm1>CF7@(IXz#8{ilR5c-1y@^YCXJXuI>_ zn4O~FQ!VDPcW4(S$*|u-ayO6q3D#esti89$j1(706MF^!(*?jU&hQX(jp5<22pA8J z)~^M|u0OgYdmag@b1?jU1k{>vp;EeQH-2kdgM!HZHy4b?NThVEvxp*%qB@NE0Hjpm zTdJV!-Q6Ix2ZsmEI~*+$i~F@!W%sk608W-7fR-2Sa%=R(XS#%E^X{&Z8_3MV)~zc( zpR;9BDqo7mto+(#hBW>ggD9cV@>8D zw>+xfeb&gULeC0)M6@pULK30cX&E7Dbc&Y3>q)rzW5gtC_D>oop zKR&LuASUHZG$WyRX}tAPug;g%P22clpIAsLYz-Xiqb)FdAP3^~@E7)_fPeBUzRBdT zgO2B8o)Ip-GL7rC&h_+pr z2@32JaAr1qOH8X4N?3z+j98H6Tm$e4$>w#7_sSy7~V?$r5E9#MQn<8W~uUi*&_ z72u1qdmRN{gY~d}Jo$_69u6{>40L0G^;W*M=5@EP`N`jJ1o(d$kIeg5yX1+Kcj9gc zuKh%Vc~iy@n5`!hggyeV(X=$hp7Y>Y<>H55=J^BNYC8Y0u-^_Pz~GqFf5xWz3>!C~ zYZzE2bEiHwdf)Q03#i5mnX&g+?@JLA4DYv{8MTdLTcC91QX8ZQqtd6}yZ^v)idv_l zMh+58GHVheDoYhYXy#b`)pH{q$4^_Sf4V!HIz!(Z6<+rtLD0+=G zzqJq}mM1DqTa@yatN#}PhH>87YMr+R^FL(e?Z=k}w-Ev8Jo?Nzv$r25h(CyUJ_4SS z`hlAkJtX+6uZ#=~vL)?7SMb$<+$2VRRUwV2ri z6fHhDzX5qml%H-r81%=oS-p>Qt9&m%Ph8xGnCL^Vop5X;gV3oJJpO zjp=BuCie|pMTDO+qt4{3wRH(K~QAMGRfM*YKv}D!0j>{-ygX=q6{_ z`gE|=ZB_SgdL;9Z3aH3~M}~v(np7w%g)%c>nRrm8Wi&aa?LJ=DJ9d3pwHZkP{`zVv z__CN(GFBx?*X+2fOgdcv)IHdf%6&wU;eEpD zO4*A|Tl(Ezz`7j^-|e97;M9|=d1tF>+REd)lIY9SssouiIYg*N#g;pF6=3AKMi`_RN_)46a8yHp&6q0xWN$vnS&JzLL;$Aq z`9pui1Ddx|TI)?@q>`7yg3WbvovU^mez0Cc&c+At&}LWX=Uc<-&-4D$GymSp{8g@# zP)aw0hLT;kBic`|HXsw?DiapX+vvi?2Q#592~-j@>BE$Q$ivxN*HdgPR|n#}FyYWM zVxlU^Hw4Bsv@|rX>R2))A4SmU7y)Q5*Jjx|==fc(ph0}s*gh;u(NTG+&ObAcV!ov?Sk;x7NgB zuFdZ*SV`eton)0eH@&EdHWV+)_P-G^e(ZC73V6G z?WL|hL#J9MYaTmg6-~NUAM3&{(o^((d1>hunB$R)u_FhOh~kl84D(wAS6f4Arh!^VhM<_Di)Uw#b=TB^D;B&++BX)CP?tB;P9kXI7MlKTxp2`IsQ z&_ub(c*`}8{{H4-p8RKPCClSm3i|6(g@~b`%pJP>&?M;PFs}}}F_pRR)zAJ~$K@`m zaD6jL$S+{s7jM%i%?$(l6#e17?j8^NB_#s8h)cXAKVupTSWgw3iTTBO3UJ)QOj0Cl zx|*LW{WdQ#o~I=x6-W=1={Kkx5XfDCol27A!tRJ*vvS6*UO6iIJtlTTQt6r`8JO*r zm{8mYRk4#+E448wAxSl<+W{g)MAX{oD%vpL!=Q=#-OcqEOvTw$Ssk2xNgP!&Wh7-z zCcTeUVM|&9T*hjB$QMNdqg|dy>sB;cii#L~4vPjQ#)OQ+v<%-l+s|prbgQI(i{+?N zg*@<}iSQT%DqX=FyH~fc)e5gj)Qq#$!^wfkqf^4td%tPJcA2GY&}K~JDAN7AmsbYu z>{i6+?{mO-pl5kV76$X}j0b0Ut@>?0BvG0wX(D=b?i2s^Ux#au1T)n)3~F0_XFO%Y z>es;OmR(*pKLO9`X3mva<~rL{adoZDh{!aI}1jHnWw3 zL6=*2JcYQQL5x2aWp5*q^sfFFGuWO*0X_IJLEBidff z`UEuX0m0HXt2YPFeX=3q0iKln#AlNP{FeA?U}?N?TIt*3iaG5wI^FmD@lCSp>K9l| z@wuR)?NqPq$=*KMl+iq46WgAyP?_4G)6mOo%d;DTYo-yB%L%9q2I+VaK9Fbh;wTT^ zo{5UGYJ??3!itT#-=NnX{GitVATo6+|5U~uQ_EPrThsDW{m9j)p`6{RFI@f3<~|u3 zh&2(|sEZ(_uwoMhjCe-a!*#hpu)ih=Kn-&Wb^)P!kNqz4v9)u(|BZ~`*Od4Ktvq|Y z#3sGC*su8Q(Hp}7eTC;fwiz`>!6sjaQVy?w=9({Fu8J5*SYLA)-(OSuR-N=RihOMv z!B*oz-e9vxbiHD-&l;^7c0Sl0e9?ml_dHZyqKAPpCGJo>`br8ncf#ffopAM zI1Eu_IFA<+p-I#2CL$-F7(dL;VPIk+iVf8i@2c;}o1=~xw1wx7T*XfiJ}gyKDQ~y1 zv@Fy{b78!yhjyKlvZZBcV^;(Enk918oV?hj17;!pzMJ1~gqM3a9Qz}pFoVgFNOtrD zuXK$}+f)`F4|gUe=mCOH6`z{^2<6=QMF|kp$@05A>a|z7#!`qZjuP737+i*sA@vQcE=68)lk;+V&~4>dnl1}CGV z7Y1KKo}<1cC^ZjMzuT{5}Va{FJTKWekxcMU#aYN5isZ^;@ zNFmgf05hl_ls6Eu?B`;v1f{Qn=yP+qC_T5YlwSff^229>wJ*EfWl$n=PxRf@-51e| z)!Rr;4k$_qKcW`>fV+)`F|tiY%ddn$&)sfFE?4_661=$5_uH+Am0R7R7yL}b>xCkC zUC;?M6)AWXT<9Cfihh50_=K8D^J5C14ezISZww0W(qjue(66J&fXdI!`#rfLCvHE*kt=Z6nz0Huf)WbtV5hM*elAi|8?oP}u5m4JA zI?FX@=1-t0_1N;Vf21=g3Q*K}q=>uH{%lsE}7-(Ug;`l}vR_ zC@gTRaGycc;rRUdnCqLZA=&oPsGX-Qr(6{=BmL-ZSb&ldnqJbpRscK zm3?D}?w_5vw}VKvWar}hfLrM8P08StT*T)fDl2TB+~(edsT$Qv+dUi9Pn0G%NXNke zl=$h^8WV3jr_{~(b-Eq7 zY9Ty=Hq&g%rldlyOp;YYnoG-GqcF_&Kn<{QoSuOJR$jXa}Jz)h{!&>j^$eEOmClvk*gG-{KG1)h{` z%vM99@6IqO{QRb9YA$p1ba>UK$V?($>g@JMy@5x=@jdfdo(d$idpkxsWRiJsale)C%g8+E}oM;LvqwiWFnCnT2{TEI^;2ExDeB zz6Ae*u_%iM_f%WaxLc}4y%Hl?Pm4??#F16yBeRT`Nanzc&u`H61ThcDV|!<}nVfaQ z*4Z`XKTU^IP3wicx7}9DimhN)*d9i=uD2<(5Ovp{5!qmK7%Q@>z_b%!X{bN27Ts}k zX8R9U861$qeK#q!h%d(EW|r1dkhR;*Cu3d$W5r|?s43#F$O3B%V-&8wH%~tjTR)11 zx!&8D9d508B*yrU6|QqF3>bhoIt~mn&he-N(r2mQwjA(^^#}aO4RLv;ut_nn; z9`*wHu1Gyc76D`4dtuSshGeV0r$089CK#WYk7|LuTQ_4g*@Fvzh|4OBGMXm%w1mck ziDs5TubLtBQT14e;}*q4N;%oMR{TewZO$!y-qk7t6$G&O z=cz3HXqTvYuP3T&Yk5H@C8g!f)kXbT?H6}oWIpyL%GI`DA<^ZPc>k5N;|j(aROLn6 zaPOolL)6`y`xz|HIoe%53x*%xqx?Vky6x;uixeIl;gh$3FVXd2pm zZFJJZYROH-N?WMO{vcdP&_P?@J3hg#Udy`nb)8lGL#R;XYJf_5ky(5`;Wh4%*6*XK zgO7f|@v9h;@Wk>HxnkMg>#D8XavI4{6jZAq>-Vr|9NVw8!*4uynb|^oM0i$)#)h6tW9+Ccjz_?kh&))UC$;94>P&A|t zNZxazV8-0jA2CX!m zhSR_U3&(-=Mmd*@sCXzGih4+r_5d;ix(?7T$NX=kf&XmU*X=~k-MxO%bJW@p@)S86 zU7mp|IT_U%MatS8SR!LYkk)3D^HU-BmT?5)ohO{L$EeM$ojtR#qB zCyT~7eZD>uH{2FQt1`bGi{NM854t>8Z|X9_kj^fx&&Q)WJbXVl^VNN~+Vy4MK3@r! z6hW@SP?5W`|8;q}ef9!qf#F`J4P)I%Z#?)QB@itXWTLdhlkF+iTnMP?OHNL{ynf@s z)J1-4HAgPxOZ%L4jCtuZCzVoXO3PRJJdC38S`kBsTFb^8<4qk?vQsM^7cj$6DZ&9p|zs2JqKOuoYl;NW}Wu((!$w%&BF%vd7 z(8N)k#n1afWJ)dS-s8PR8I2^iZ0U#nR!?U3dCQ;sAC~F+eaLHlxoh7sT6kbO_AwYl zlwj9JwmAviVTGX>Q(xvPlCf#OwD@xI6+P!(C)yYLl~?Ky8wojO!839FZl6c?PD1!} zZ;D!^N%f?)wdkoDs|>aVWggjd*N7Xbeg6VMN6y-p9%j9a4)U$ke|@~fNOC6kYtoL) ztw&bgi#OiiC@bYnj8}uj5^~OPpDiwB~WjNVqT{n z#ZIPTL%{Mn}#W+4R$j|By$Bk*Vob9h~|(&wgj<> ziR?eW(KiZYDkCb*)zC)r+lUxRg_KNavF7dsO{~{3({(*d(7K#`?z*Cr*VVTy#AAWg z3HR+s&E6SvUqhCnde!4Q@3X6ZqddTNVx|k6eQlV zoM|wdp@C0g9<*ziwwaokk{HsK`msI81c8SzVzP3g?j9sBZnbyb|IR=}L`W7ZkR!5< zy*%^e9FYu+jp3uKTm#_#Mvw(NE`ldTnAk5mEaamK@RJI8;*saS#sDNhPjX#&fSZFG zd9pxt#+bLV<{?S};NN2PiVRa{2?Myo*OH<9U_`sTK3hU(c@FXTQlLuNkk|rc!45Yh zYmZwF)l(_NI6z9Q1RxV%N=HKAfMv%C<6s5hTBu^!P=Pjt#F@Ajk3}R zI4F!hKnwgD&&Z^1_cj6;IGG5woo8+c21iGxl(mXrT1D$qQ$1YJ9wBD8HglGqf`6=R ze^+!9q9e)mu+@AuT735KLrs2X$dEzrfa2hH6CI7O{d!3UBWpgk(|kjJ_ya14fHcrC zM#tk^f+Wy!K}tHOpTc|iLHiF-1(lyA9R@4Y+vo~Nv;Z>(r%IZDdYA`_rw#Z@5kR5e z_-O!7%Y17X6GEVI$dcX$t3md3M3!Sn>;5}S%2h$=#*0Qqh#|N|v#qDdSc!p(>mh_N zmz51|AH70?&EDoWXyu}F=jzNns^2I(9ie;U0L%e`B~QO5$zCWTja8`MEwkiRWDW|c zwNk0Go@TN?ayEQO4K8_(%drjr@n|>!$s%V0MXGC^wgYR7q#-& z(f2NYP0-@^sa1^E9|~(JiLCwGYM)65c_CJ7F2{CVX9CWY%z=SSXBo5#g0)EbJoW-}?sp3Zp~WzD=^JbRjh#+CV4 zK1>E7y5xwa`*qga8+y{Pl3B=Vp|bnWqF-aoVa(36_Jr1aXHPQhE3Bui5xRD2DBNsH zc50aDm~Y23dS&%E{-dl!L`kUAvF~^uHPU(NWK7c8C3_m!P_(>lFfwWD_!4@O_UC&G zL5_w(rQXw;<{Chms6krz8gQBgK!m~Vl8q+eQ;hE(j*S2>;JZTiGvMCO5kjnFN(OHx zTVzmEQc^akCj(PqnL*QAJUl$tMg_PdCQMjE(7yQ#mAvseSCh@~d+y_LX&iN6R~WXw zci8C&(gDrbnqAWs&sABqOEc5b$n@Jlmjb*mn*6Dekx~7lPmN)niwN3UQ#;HNLy97K znO}&}0}Vu_5jn=efv^llZ%kzFuUYDP!heZd<{vTcuV(os3 z6A@kg)hw_S;O+6O-7giJyopsXv7F*-@LwO(Lx)`>TA2QSN8meMmA)OWxMdo-m9d@g zc#Q|R2vIAPZ{J--qQJ(4HeR<+FZDWjw0*_xwxW$`nHoJKCfeTAuHzv)*6#`Xyneu3 zSE&_FR)01wS!`6+OcTtfWo^8$2{@J%x^G zkH4gVU)P71FQphnHC-h`#Rp5>`rr2qFyFViaTHGPYv7mAGY2E->ELdnFs)hg#<0lQ zhm)xVZBIpM|En_mH?-N_%QmWd2Q4no7Em zjK`8dWI6eC1PQ{0Lad=xEav#>pXXKh8bYSN-CgszG)IthCQdFY#no`hkC&~qMLVnb z^_WKTue1`)xOWZ+US~!koTCn~d+T(>xMBjL-?zF*w(;|CdK~h2;-s#evym zd$uZPay%;UPOAO)ZXEI4hdkzL0OVqmUI2mt_Tok6{0Qj68N2n0&$b5x@;0`-Wnbv< z^Z_h{^##SyaQ@m({pU2oxLRNUaz0c6Hk7F%|Cne!Tucm&#c*N|0yj6*=zgsS3pDhu3xL2H*WIzx@)dwVuSru$m8|=s2?8o}i8`)+*B*_2yXk zH&eiZ2Ds$ZV#LR{IQgGDRnoWek(LQ&8x_`GH7cGHcwk;H1)^4%;v>9R;e@2Ut*&Xv!w|O>uO!?yvaNdM+* zm~2qo4^*=bz%;-oTwkJQEy-&X5>DW({w&9+`jmTrp^`PaUB5K|FvMBZ#)ey=e!+!r zQl3W`dZA#mPW{xXnzyWiVa_)le7$N_xJyZb5KQP2_Q;y{8{zO}XH#A{&(^>R@!FyetibekEUtk#|AtM#w>p;I%^F>zSlRkZ0 zJKY%d%s*LSgN(mM#jC}&q9I}=R_aoL25*4*tw4xFkG`aE=V>am-f2bF3)sH4ek^yp z-lmX2v)WU)9iy~LBmg!GZkd3v;vN^^UyMOin?2Pplw*2lW^Rr*;4-E4>aNA@0_X`~ z2tJ9{iQTy!46G4_aWzjl=3S^TWo#p-o>bqg@C#m zb(gx8cKrtX=8madCR$U|wF#XLj{N5v71S|$e7AGyIAByX`}HBoA$Q&(|It%36QJ^A zgV~;`{Ntr=Hnq;5>wGUKew2$AMsI|4bey+DU%=)(51;%x-7B&f%ixG9;G*a}d2eHk zuNp%k3b8Y=?$$K}la-gq+QC7^ueFU0kD`{fA2*JJJ$-!>fW3A-ZwW=ZaeX~He#?p! z#o#PF5PMS8;^y?KEv>N;lBU)0RM1C0zDwJFNzpsuk^=EDD1~>*+SpeJCH_N1TKKm`j*12|@jpJB4Fv@7f#4X$ejHat{Dt}ZpBKsT2vZ(-klC4)~-4rzo z*!4|tN^)KiGQ9kKbA1f_HJ^c1_S2+ep)Tq5((fC&+h9D4nWF?1oQ@37W~O}VqNnGH zknbh$Exj}61e=nC@DB+20syot70+l)7y zL$f~ov?;kzWi^aJ1ZL{-Zr4& z!i4lg(~6UV!;? zeXoBE9;hT?JA`iLHrVtzM{du34Y(@vf$Bd}j$xu{`xfIuFoLFmah%Y2Z}U@2-*)T= zcha{~e-4ZUl!+UeH0x2FDRpnbe!&g7@aM8%RGY5wFI?;N?>PZvR3MSXTm?)0t5k-;NG5i3ZldhEGm&?H!DUPo0m69^Zr%+C z!B|MM^6(LCE+#3Qrc;tjGc6Rmrz+X3LavBydv?NQ`O+&YN2#Ke0~m`>L=KJB^(eWk zz>2_B`I;oT*7-nImSG*qbJ03asoe>xI~H5Gbx52nehoBX^yAa3Pv-nrE6aG!%k@gI zBq7WX^AX?(xji0xSxWeYB;h}W8xZ8RJAo54k?6}MWIo9g_x}C?0;O)T6_gGJMpZJT z-3MVXW%auX0!YBb`BI}BnL9@&;z5c5(iC~&K;xs=Y<3}BaJ{e1ZY2yx*WimRWSh%+ zT}gu`^(9v!-V%V|OT>7V^wt~33`hAvWb@m;UwY8~rNs$V&P+hn;ygy9!&!WTKAIvIdcr zCysSMsc1rgi@Cg2tkqKcSisHy==*?X#)3XfC z96i2r1}i~HDxSw-*;B3laWtVatY*b&_@0_e^Qm67cBEkt)CqK&-B3NeEODEuLUpU3v1tFom;X)dx8Ft< znp!pd>&RZ1)oFvaj0n%*s-_z+`b7%13eIgv#6+jI3uX z&$CEx_if(>yx?ANNhC~Tb?ez@Og$=|&~XX6;9FxS3SM$p7@Fiy8<6#e$GTN^c1qkb zm^tXK+SPjPb8c6|JY(Ykd_X*B0d%P7u4&2+%H=HV5wG8yD@n{*FQ0w#3nw4{ftUV0 z-mEO&md)|lGJRgHh=cFEMTNgnvI#yP>~UI5ydziO&6ML3bvvjdSY6T;$L?a$15QRH zJf<{DNbmOWE$B(Vzv1lcya{f&$L#v`N*yhZ`Jib_2$SozhuZyAZj(^$2g@FafjHVa zJTxhVly~l{#J*y7)FVa@6ry~#CvKVhP73l*lR5d%l>Y~)sML^AqAe^YuLh!cT^6ii z-gKMWi@uwRGIZ4inx-+(Q2nLbB2}feGI{nN>g?Crqj5N*;aYiU5|`hq00NM8)GWMA+y^TdmB&D zF7+a5EIKJur>Ut)?-Ln|hpzue?yiLfn;Dg{hne4Zi;dIo+0d!6^@I{!`PEuY%9hYe zw~Z&B#3{l3*4j${0=RE%2V~W>r|ucs6@mLtv&G%6rcr_du3;+= zFFw7szmYY8A}NxY?De60Brvr1JH~eG92_dF8#x`bSLj+caEx;OhVm0U!3Tfxy8rLt zRJ9!Zh$E5+NAG_*BiU&Gu-0#4C;P z;lpR&Xc*vH>eesRJcH--wT&pE_P<2*o$lKtebvcC5^T(c?CLxbgU3bAl1P6-n=I6u zvL=|-wbR4cQS=R#E_{a0Ut~Ce#$zAth64pla!&R2YRsdY)}{ZQh%f=AnDxLUnCSxia58opo8Qiw2CfN;IqfkE*YXin3e(o*BBkyBk3o zqyz+{kw#+Z4(aX`DM1jV1nC%BKx!zZMY_AY+xO<2^PKa4*ZqOD_yG6J+IwI7`qh=S zH3)!h=aEw72vBpz+t{YWvdA{`#S0*Ur^z>l*$kRx-w_Oss08ym-JEXt=38lMYUZ6~ zXJEs}lc2ZaMu~j8v?x{6{4B|1UnokX3p> zUAjuoGKB{D7A)n%82$tn_-b&eab+`nv9z(Vp?eo9mJlEDniYR2OKj@ZDEtBe1$$h~ zG=WA^Rc}yDRh5}DqZ7FQ7X2~>GBG%E86zd6Z!j+OwNX5N6DvSbahiND>{{PYUPS9nFxRd+#OB2HgdH97Gbz@ z=ey#tknM&(QuX_+lgpoFlEbmN&w`AU0U3z<)`iRy z3G_?%f%<>BI!}r%1x-64NiLJucyngO9)GMvwJeS<<7Fg8>BI9#fHr@kAQAvuqO$N` zrpwsGz5svAda{)S0%h=}$7ft*q}+fgqTjLsMen}~?j?GzMPcR}d%}Z=?PSrp*&r-x z8-JX>Y1QimIPa}`j^>%~*nL#u`u2jTI0h;{TlWXb^vss!y^mYDhm<&J?2dZYJF96z zFM!tA!*Tw~w*uw5XTr?ChoqhtdhX0(Bi19>?mfL*|M z81dzovdH>^Cw+}Gs`~|b;`%-icZ8fN;>H|s+=-%^S*l;le6jOK-dWgTcKi{Us#xyX zli!Cl^n7#B-`{^blEP`U-{!K7#(Jt>V z==dY-fE>o=C0O()84 z0YJi9bNM=Qew;g12#EMsR0UUUSt@uGjc=lK9?!?c%}d_2ND-ChmmZ*7hx2H`;g8>4 z*C-?7Il1XLWgkw_^>54YnqAa36V`jW{!)oZHI zr66l$`F?^}>}-xEbWJ9@wd*_vxEi;wN=rO{UV*AF0H0_B8{+gE z{IzDq*Aqu;G+V!u1$f6xeF$#vsB|?FhAZSI62Qq?|KMq?$WPXaIu|#_hiWULEX~~} z-HTn7eBbjzWL3C?C_{K2hRY!XWn(_f8L%cm=OJ)NuQVwEv@-Go?_qoqt}6E0^Eh3e zDfsueiQGJV#BY}K2zJ9j^e7I%at^SS+Tg75#g*`I%d|`VWXI@wf!|G33=4G$@q_L+ zcpVuBh{Zwip5w2{>RJ5IR5PfPDpQFl8x0e}LM^hAz`78*(P+c_sg=oYmW)>|p z)IU6+jqbcS-l}3qPCTiC7iXX`v`ZvEL*Cx5-heQ}Dk!KEmT=WYr295+V(_FT>;lVy z6&e9`!0mj6m)KO^zIAePat@Fa_#9z$_fX&O7fRf0E6_<{C88p=Z3{L!M9OLfYTsgRr69a^47?*tg21ssYAtNtS*?& zGFZUKv>9#GHTLN#VJC0wVuQa00L@gZ!Sqf!xx(r4vkn9tn^SIG37^w~UVM9-e%V))C@Gp^9OB7^Y;wfC4Pfp%~$FG;O4J@B4ZD`6TI%fsXynMeYqJ}kN{CsmghXY5!Ebth#t!%rs zYdHYI62j;w0fX8l#+|E0EGE1ao#Go1vqUZ2tj*$x!>gS#}(JRFlYCXz?P5z61!d@ov~t zw#^d!HL6%a+eiJq$6_M~z&P$F1bq;>AJ~m?vO20uspF|ELK4 z?v5cCV(;nSDwSZQRuHeEM1H3i%Y2!~JNU3Wd78^EpP+HNTkm@q_8~@H&aLms_`qit zAM3@tsp);yY@cqvy3pu-Viv%L>YVW6G@9Af)zJH|S=$Y8X719nR?&5TOSM3m;4AKs zlb7G~O*fGMS~DcT6CWA^LtzTIKj>%&Cw9V4s_iB)GMoOt_`!eEp#MRPnWO=7lSx{w zk_eHV3_|M|Oc;s8o=6J&X_-K%Io9_|55gJ%)xZkp!WAaxw^_biCHaE4%@<9gXVC*; z{>e10GJsLWbYL&nEWvVx$h8DB0~7+)?)UG0euU zU9gqhM*N{;wpiGA?~IHvE&a7F_V()pRdSi32Y(DB8>a9FAmrm)csSxguBkP(=QByb zl%COT;Rv`-NWYM|ybT1BdInwW__eNM7MnQA%=^I@NY6|H}c(C~Wao23fu7bvTxaQ5B zXYcb{*G+WMe3!PZLa6&tVz$=O%lkhce&PJDHoL@vQXC59IE#pQe~-WXpopsjQ$yK8 z&$k(Ujf&s{al>J~G|fgpXri(hD<5Kz;}Y=@wKu!Y7@fOd}r|i~5D$N3GD%P)cpLCQ3%X7hR!9 z80P|{Wg#yh$&v*8y+DY2_;XY}Q(m~M^$ z&Xj`Bn{6Lb4FDhd9B(+pf8YukEs=+Jv+phX9!FOc&J=rRx#ysi+1kJt5w~+>s+1Kk zluVOct)9p$@S=dSF*%PZ=qYVG1GmQ`F_bV;#of8};uH5PQbSgAAdBKpdEs5S=#OgT z{^08czI+2 z9Z{*Vo*_hMyCpSOTT6zr|BUAEbyT)J71nNHm(1h^ck99p5nARzUX^@; zx zCxi4M<@_NU$MFm2ncoBWuJL$+x`EzZBiigv4FnWc3gT;N9gg>MK8gA(%Dt5V;r<~Z z{*f?-Yl$!VfV<{)xkaRo*^b3y2Uk{Y-s1y0)@*30PRZ*2bAbB!Z#6}R=-a)3G1~Dx zw26kEjtiT+Cm8b=>N}pos+?rZ^^Oj=-nx!V1-SpU5!B7adH zdz{5c!$EP#EUP9pRvuLz{7Y6=1rZ{Pa=O%$F=C<8tSthI_qw(Fh&81}E*GSmU*8m%JgBq^N<4i|?X zlxE~HbYG4B*lE{{_m$7G-InnXLwci$%#*BViN5<5db;;Y<;k{J)JXY}d3NuKl zx-ixULom(sBiim-SQAEq*xM$SDCcGEGXI;@9W@)2vLrI!@Ve&ae&>3N@%lza;;>A5)Cmv!RSykOE+IB;#7DilY>E3o zY(UTSt)-IY<;PyE-%Bm6nbQp6(wz_j$NkF1di%6COah1S@(z(dC3=9{N400l*zW_b zFJh$UGNatJPB92BwH*4Igt@+)GbDx$K4GSjMS>1+Q{Pf)g$L1?E7eEgW+KGXydsff zJx}V%4mvvk%!8%7MCJzZ)bRq;Wovo|0rY(1Nq9iuxqlc5ZG4EvW7y|j-9vY}4`$cb z(n>KN1;x|WNk1S&_F#o?BP~{PItAYgZQM1bq`ymaB3n@7h`155-G1d2#k zd>C-ENUKuvi8U^a3=Tmc!B2{^(pt)9kP8POkp##AJa{mAgIo{DW{aPPe|rR?4BgS) ztM%etamUNO{liYbqC#DYrNF2K-lSjHfe&559C+-F-d_Y@o!VP4f3;Ob{=) zU)E)~LwyTiR|<_=eRm|FoRH^|#i;HcI){d*DHoSLm17kU>gZ+BTOl zF+j3{b4DY)dE62<#5SF>st`kZMx5A}>mTQZN*O#|j1cybu>Fs+0{kAe)P$CIhHub0 z@bSi4{0Q!Yo01*$=ri{NGZXqG1rbMq-#k9t*+18MxV===D}F;Bxdp<*I(wx8*&|g} z5sfNdnm};hJ!cDePu_pCzx5~arC})LWUQzlPC?|Z(NAO)-p%&_Zc)h%(I8ys2$X-< z`c-of=cKL25BZ2Sd=gP{z~4I4Q7RSlnxU>zTLm)+;do(1JbJWKJ)yhB@V{I1dkU(l z_$iP^J++>@dXA8($&(X&`px#*Fm8y4R_08!)Q37#4>lZA|8}q5N_?GHu*2Z_xYYfXlK}R8UdH6rhA|e%=dCFEc%8F=-DJOjWa1%>^Ckk?U$z!0OF_%y#D+bD!>bxp5F>aw){*D0_0BEV&tE|U*(-+2N*x=%BM;_zMu#&ErYT!o3+(v7&(zQa^ z;;~mKBOhAc^JK@vI7L-~w+v_dY?4*nM^NqPgq^KqI=5Ae@UHB49C{YVbc);n0ra@U z^H7(^CuRZ2xF~u#A_$m{#eZAM7Xd9*o2fK7pf8-bC2bisgy4^z%cyAx4Yr!Fla#t2 zU^r8vyHeFhgIUndJs&iL*$|m^+z^haXgzpxO>rbr`$@vITSVX+zMy|QJ@ zljnxLgeIL$sr+8c7nss(pv&K zxNF3--P+tF$Rtc#N6xaKIjvL1cj8O>cT|r@e~~UB26XkoJf@uH)k~}MlIPJda}vvscDnMJdygaX6n`sGXi(oUm`}qkmEKhU}-Pl)}%`#3sD8Z3mSSV4cIH9MQp;_*||#y@8Nm0OOG zv+?)sukSTO2q&fOn-HBCG!&RbMC~WbyRX5=?=NIdNz!r71Uk<>0QGcR-&WmZv)Xv& z#)o0;1`;g7|2*YbSmhW}>33YFSHNg6(J%B;DW3fwMCn=S!GyZ$^GU}ag5l)66`t&6kxgCt`%YhWlu z;E5Wk&pCXdH_+WhgkgC(Ze@O>46XGCUpA=~yo(uXO(pG|L;^-l(u7MCjxNAW@sRo$}OwM~L zT4MGF7K&Dg5vP;_NmTSV?ZxFB^^8_12wWw|(c?>~J6S-HMh)@Onl2#5W!@m&SRD1xpKM%Me1(H1#-=e+OvG7EUFn)Iv6d{7c zslxSgMEtIMv|a7NLY)K1T!=;f=MhA~`f=O42fh8#w6erNi&;C`osw@0loN6R}c#EJ`(7kfLob>^#XUU%) z1C+j+#9Ilg3yx<|K1oPUPKc2=h7IrJ9$6dw4v2k^n(e3S?{uKQjJ%>ywuV*glbZ}P z-zrt;@eNYl=^o7Ad?oEHUohYWhk<#1$>9OIOik6A8;Ao` zfHP}F*7ezmY&v;p;C`^Z7J}JZbZh0%Q&G&MBo@qrS#35wL&ER$a2cc!Rv8$j`s5=$)wXhPmFwG>!*YH7dR zn0#e>oPn~BTRMm|Z4ZVHcd`i(_l=8?*K6~Z^D^o@?}#HP=h9H^9{BzVP_G_E|Weqy+Pqn`&NYW7d@8`!uUF zwj84W9)Ip0ST+Jze+yMqX~U8pki+@)GJxPA+V0!Nsd{ljn z_R%Vs$5EPcV3VFyi^+w&dTv@?iu!vfRxJSjF)bs|qPgf=J&YChP{vC>dPn_GW8?{* zX7miceEKjee4ZGFN~flP@ZgAo#d(w*2c{AlQT(#+>z{qm)9UOH*6A=Q%Z|UKAHMwY zu(U2ubOWpdQi{RWV7?#jGnLDd6{PtW*4^P@m zyx9W>!OYOJ1Ez7(xHv(&!Z?489Jq(BTTapBSk_H(`Hah(@vO!skCASmoz7s+e9Pvt zB}35BU={_T_5!??&d9NnV4ADz_-Do%Q{?`YaE;L-LEXXzjj3K#j(qG~L7#=a!FdJ2_W-9ROlK!8aCWk;_ zfS~uX$CFQ(GCih3!xG6V?7a~rvRWDxe@!{z_j!cS1Ga&tP5{Cm)gyk4x+^s!4ved= zqeiS8b|}2mu5*z196^vCqxNxW>tr^-DvC9|vlxAJebG39w=C5aTyt$KdB1|QG$m0> zBt_cd0$3ABBddOIx<9U+ zkY<3#OC6>zEp;KeF?|G{^Fu&0{A#4Y@)1X`}{qgGl1M?NDO`4D>NxjJgT zmW)X^>tSQg__OlVh$xe>)Ks>WIAJIEI@c(9y@c^K7p?NKG}Gr?>UhXR~Qco_SM5_gjYR`l?XHZqQ1+qtQD6<<`(TYQbwp!v8UD ztt*KEC6aofr6OV`mF}OS7K<#%g=HFZn?TmcH2Sj=FFJ5G-4%Kcl#1F~cSK;aC&&S& zqVS0p4lmqKZ}c-wlS zby^me1}cWY8FA}U|1fi5y!yjlOz%80QaZ=v`TS2(>AU4mR)TsGlV=NFzzCGw(|KO^ z<>u0g$yuau@xQCPE(Z%<5he>Fd=4Z8v_&7NNP2NNDpX2+m!?hHDG7XMu~k3wi47Xx zyLj`?p3%(sX7ZRVJ<#(w$l3`_Gce<|gkFCD;hyB!MLeU0valHt?LmU^mZB0o=3V=k zkgInk>Z>YnK)Sh17_Ea7-h;gGbfMe5faG=;P1ujq&6{e2a&Y=eDCTst;yYff9lREuHW*GV)50Q z;_Pi35#vNnA-`y$!!vT$|2%pm;|+vf+$T<1Qqg-> z1eR7>Q}CQYPqJmIzaJ`e)Vhae!e*Tj&Z_gDOO-D^S{nZ6%GeS4bY*nZdq}JO_dRxe z0+icVC$<%}S2%)=K@-UNgPK5O&bh^d)a`hAn*5ywsepSsOgo_xZ?Mu2Y`G>n(UIET zCjR#FeJ1>@-G}Y|N{xy@RSfDr?RvLVk8kU_3N#N8P-y{^n7yIAS<~wJ=H+|H4P-MJ z338WC`%Xz#u`3K)w0OoHpW!p8*)@hXwA4+Nv(Nb31>n`uoJiA2{(u-DY)U2=Yao>_ zm@Wi3jx)k7@_ES}(~dh7zzPlAvi5ks192b-mma@CMRU9PW!TEszkVuu=i3A;)4v(u zB*QNx&JQjY*MB#sdy&=tbD-FmnvZqZ|Nb%anFMC9x z6cF3u`Ks3~!90E3zWzQI(V6&%KHHrx%fPrYeF6z`{Q_U@D6T3YFjl$mP7lvso*deJ zlj+RZcy{2{K?9CFCOKs<76mo(;RH3uac%V8=giLL{$N^aCd5fB@tYSp2lc^WuU&B9(ezU0g{zEAy48<{HyPFo$OYuo(jmG zU@LHAOZ#N3A4B^qd6d;a7SAtogSuX5JvIL6)ky+c(k|k>k`n0;MBjvSrai3Rd(BAS zV+Db<%=(5%U+xW|6)W2-?3ZbSFRk2SG@kAy4HMRqcQXQUZ!b}9bqTY?bb(VAVGuIf zb-$t4_HnO-rA;#8SFm@RZUYV#On^^@Z}ZLS53{omvr@B5Uhj!MfVu#N^a2cO|6gbJ z=czMmJt`P12G*Y`-y|q_WGL9QT3|ikN|M|-;Nb&I+u}}SH&=S)x|)IDZe-H%fm^tR ztjxBy?R*A<25sq~$Q~XVMU7$3Aa#5%`Jgx5Vr|bQ24oFtIOR_!eKC-#@(tzzgB80m z9qf>B3tuZ^^kJgj^$NA&F=8?)GEocn0^%iQXeqA|BZJy}4ZL?!r@CfxC`lxI_My98&oMr)hdnR~VT-IMYAs*~YozL$;jeG{xWTpY zNUtZwoTCz`d}Y)5cN1Y3Ez4=UZ5tQ8RUt&r%F+L94PiA7=1_ckabcnC>4`SV;UaE7oDesh93YdzoXO$~vQW)Tr<0e<3baF3T81pdL$8_eWJs z+iT~z9>ToG9`t*@MNS8X#~X8R*C>g3^~{7=r)>b!F}I>&pSZyr>f!xv^Jw;XHZln# zQ5EtX9Tg$EE8G=OAk9@&f?UDj8yBN`$*Yr!bEUMV_N_Wv>4K%0%=em##s{KqHQvC) zfD%-6T-bk?;qQ*yNl?dGTKoNmzyaby<_%JP59R(LAftE0lG(XT@|X#rqHwLS>5H4d z08uSRJAc%NbwB5|&+^?Z+2P4$@RZ{dT$??S{OJdBoEkWC#RA=C&n01McGbvT(>gQ) zLH2vUDhG1Qfj#6fHnB>R%U;1VgXDlZhDST-6w^#gvFdDhQMh=jvBo(`pX_w}PAdp&97$6=7DJ-3Lf6<&+yM_^G9PDFQkmS(RQPr@uX?Or zOK<$o!e-sUx9gzO_P-as#{-#%m^6!p^4D-{<_Oo5AoEOO>Cg%Yd^?4&TwJ~KEwzNd zcj>3qpHm3oima%R_1uQ=5MuJ7NeQ%Ay8#8&f^~>>UDl^0$PFnEB7q$k8j6EY^(7$A z(&T=XL`E#+@@>-6;or}+G0Rc1GLq_z5>0WmI@0x^&K9%i6VJT90y<7Z`DvPn4zc)E7Ej-Qx zBTBk2s2)9T>k#qD$6M5{2d~XFl{)Wzd=~5Yk9F>;ZikBoo1V=#Z9g85pN&Ku;xUd( zK3Dia6KG005hOKz!!YL&^M12RpfUYI>J+=+cj`Qd_O}B5*NZ3CN846plh| zNS$r?ka@hxQ5Bg+V?_P9TvGIBB>?3d=Pv`KJzmsCD>vr_%5CQ>)b$AkJHuC}M(t-= zM+L-9lWzkZi0zpQKl)bC0_NM#WV4Kk)wSR~BDVis26M<_v7L%A}foN^9sys}!pD!y(M^7dN|DO1ibdMpSjr``s@0vnv|Jd)+$~?NllkiPN zc4O*PZ>r=NI$nn{rOy6$qhC`lok%2%JY+P=dy3`|qk06?uAh;-27RcQHt0w|IXDs8 zpzleFxhLsuc*Scu#qAUX;NwLP0YOU-hhBRPJMICM-;%DKwhwm8s#Jp|m-4Rt$|Owk zT?a1zSu-B_0JdQ$hVv>5bKaz>pMpw zk~*pEm^4^HjQa`UEc9yjIa)tLqW}T+yL>kRv0>}aSd0i^^)|nEzv1yB zDwrPDj!5hTl;OOw9)ACqVk)v{AP1d=#!cb6_6>UG?RB=H}X73QvJ{Y^COWY z)M-C`H!aveOu6W_go;U#l-;;H84$(+8bJ8V#HW69V8_JT8I6Tum~$zPNW1U+_tH7D z5(hu|Qe!&GN8hYrf%wBP(Y~6&>}x;a46n=iOaFuH!RRsVlhP2# z?OtaI{P*MW0^v*jy=t>)Kp1Hs++-jvh%c8mUBhI>TMhcViRhPa-v8e<`Zc7!1nhYN zjKv~g)u+_ke|NmxSt5p*s43nV%hpgzf$$4dqZWAj5lzZM`AV=U|K@C~C?Gh0h9US+ zcHq@xgs@A!N8VjYsJ?PWuxiJt107}|Y1G+?ZKA3~bXPw^6EdKrslZIMvsRcw)3eH! zI_#zIbtb}nwRIY;2Y;9S;qN#*EvC&t{W|e#8%DXYwyDv9Ky@Fk9`4c!5M-UUKREl4 z(JCbGY0LfgG^i`Ezd|;X%20yiKgYu~4>@Zv3@iWY-K2^h0>HW4)akqou z8Ma%kIkrMk`Y5OcL>iWK9fj}OIDS&q(nQCZUPb(B9Km|lTdMtTIkyeEy1fD&OHYFK z9Z1gef1e|&%o~J0*qWZy6v1&SzYEUu`e~5PSLt5o1l^wS*hub&8P>gs@dUb>p10u9 z6hqO;>|%7(wSux(NHjgAG!Za-mj?1VuNYZ)jnf{wD&7zifk9H(AuUm5XKQaGZpyW# zt1jKqkq*2ump06(*p8(`mvZS2|U)*?bOARi+elL{GDO2zz3O1WZXWifUyE z*hSDQgpzTgC=Ls+#c4%MapPW3Of4!nG6V%KP$d~1^Ky|N<^(QC+ts{s}bH-p+=8G;K6m*O{B4e z)25iFIofl%-w>7pOl2SqO`aV%z(1v#?Q~~McMCQH>1D(OXyqw=$5o_%%)V)Q)$GXM zUZg8d^SBm2*M)VpNOc(tYWEQ7LO^|DR6m;v3kr@opB7{(e?vvtBi>T9aY; zCB<5S<%WWm%k8Qh(R~;r!fc0m!xPNWCd2&>%j?O5!I?m<5N*#_!n!Ui4!1d$WYg)W+a|5tbyC{1qU+uTt)^nKr>NvQYHQLe;QGT;SLm!`lZsb8EW3hel=)9 zS=sKP`dzRlv?6e4<9N<{c^P&8W;+Q$7(Fef&C?Fvcqo^xr9KGaVBMch{J~$|`mnwK zFk{=tOkC{QDRBUS+vr3zubVni=}&kP;aas^0ot*LjHP*@_M4%UFJ)JL1hOdOnksUP zY}KawZFh%gw3oo0LF6Gaz$&v^D||w<-he}2$PM=^F>ayRuOkVB%5t3G0(|;3uHt#Az`;3Fmzu+y4t*XUGjO^5@-HVyC4q_)wB5i z?l2UFwDfG(x99;SoVQOIwd?kfBJ!|R4S2tnQpkSn5TYB}CDtDHa@rA*Ocb1c>@|kM zBZtl_M-B|y^3sjd=Kp|JrU5p=j`Yj}uSWJw{Xyj&L;HkoZk#4v;u>^L3}7CFQ+$F7 zbczUZ1m%TzPy(C(?@d^~h#81Ynj3w8 zrMSu=L|W{yk|VVf%uQ?BzdAh^Z1*cw_)WtM2``=#@s+EXJi{`k{s)ns%s@t`b*Lz* z!PMeE7Q^C)gxAlC)_~v!cWMxrIn11i-db++8PQ7pzDemASn>ILQkk6i-&j@7pBrs# zzn?UStTY3lcj`z5_R;-i)~NH5IGi^M2cxg&GBMzCmdT%${I^^zvYmj-T`NvFMv%XX zUd{c^^lNvE>s4!(h*r-aXP4&7bl)Q}1k{h|h{dH1@q^}55ID@>x)plFz&@+(1h)HH z!5oVGxt=4elMzDM7c!`fT{^>r4{na`UL$EcjtIV?N3cg)9g_C&_yiz}2YP&UM*7ue zaybXSM#t`$w+UjV-q!#C86|GMaf_1b3GiG|JMv=tn8y8X#Q=?5xh$6`-UtQ9k<{tp z<&de)a7iITPRP2E5SjB3audT&N*lnfHR3(U5cH1<)i^D2;v4?^-JC$JRt8Ofziys! zs!l)*^;{C6>vH-5OfSU8<(iX5>1l8XX1FxTJe3ARpUJumT_n-%OIk1DH5~pH_xC-Y zo|bsGo?)+_>BeR5p@OBy@~Pr&(lp$v_hR+eRu0BO!~FB}y(Vij46*NjJ8WJb{x;7yFP#I+5n)3m5DMUrm|C-B-~zY> z{iONfG&n?>BBsf({auSv;J4NMfV&F}zO7+2$=1~(Xwt<<#`nEpXbT;>NMrQU!(~b8 zHZ0&0E9~l!z%${j;W229Vo3o>UCN|VdQTN@qJz3_P-a^F>TH#d1N)RSe#7rFfcXEk zbTs6q`7oqu*6!Ay0p$!ZA-{FN1Fv8T+ppr!a7JcpQq$GvTgVJ)o>tI?=1=38r_N*1 z^gpEHK02GxxvR8! zA<5s%@On2pO+2bk59SOBrn-UZIgrP=TmFmV{7>lNz%U`jAeBCVXDV~G6gS!Mv1xYoFD|I(^9-y)q4A-gcki2@rhez?eZR96+TnI2 z?uosIBSuRpc?l5JY9ltmLB(e*tnyA{n-tiL&lWCdD^)r=EA8LUTI_eke6$?Avk_;gE z*~Q^^w7mx0H5IXgST7X-98#@WN05#y$PiJn)}}i`5Z*jL2eN-&bDC3L-HQ}H3yJoe zX=Vf?URCFA?D2d3BL77bGY;fNh$)P%-zcD(qm(gg|B;>b_dbju>5?=O5V+q;(JwJt z&v`iM=6M{=gJxFv)rn}%wEhqJUz_Oo+DD^QL0=y!M$3FQLP|nra=Fu@!(Gf5%)?^U z2x`$al%E99o0{TJB-100?@a@8rb97NyXzEF7r5JtzqHSLp2JQ zAXyNf!ltRl(AKXzVVt{ibbfG0^9#u6^Y7hl9qj3S({H4pvsyZa-QOklt^AiU;Uinu zxg#`$xSRJl;wRqMX_-ZlEyN2s2C>-!P_u1xE(FP9r~Z=z+vQZ77D-$T!@}V#szaaa zyyMI?6ZAQ!dJo~;qc-S03=b;HIXT_zx8-2lAi;z0iCF`TvSwMf%GY`CPn-KX5O?JY zV7O zJV1MXk&owkKYa^?935E5Z#r%?{j-|v?VgzF%_~i-dOZ7FK&0hJG&p65 z>D1yoXYciDqLnAKrRAV*;V9TNX~S0G?_!=`BLs0T&Pk}q{Bf;Ntm|9S$XMk%Z(9Xf0>~0A*)JtkV%eIvF!omq?rn{5rMy_7o0djRvl=utz>o?!B(7516 zG-f8jgf2hL-!L&ib)qqE?l$Kjb%pWl2M-Ze5!k@rWwFYCg9FWUgc-NxQ?RPC5mH$03MlS@^K~ST=V(fhLKl#;> z!qGO1bqHS!fDrcu*=cu?{=T&n3x*YC`?81BksgDfq5As4O{5m=HCbhXpwz3gK~iGI zkF2jpvr7;To>OOZO9R?fj@$SM-lRC`M#1`N5XdZ*sr4?~S`?72YU zIB|CuyDP8J#I~e`61S-~!A;%XX>Wema^A*@pX7~pdh2nL%l7f(3di4vb-<>(#g<-= zh>xkOts*>|47vDnV8G?t29WGP+1gmEqf06WMfdNSJPy{zx?rq(C_!k8q44T!OBS{E6<7!4IQF1-SXFOFRjDB}a`GA>Oce8`aIzbyg!6rr;7eHh-b12_T z1Vxb0{548i5u0f@c1}|lL^|o!emy0GIbEyk&3~J}8qh?V6#uxc_Q+`DmYpU{ zJ^6~(h@N}nuQZ;ywMQ~C`+vzcIRq{{kPJy~;~nG5pXe3Ae%+Zq@h>VL!P5=|5(ph$ z4R7|-B8KR5+yO$OK;`u1YR5jgtJyMl`A=E@@rR~ao#z4SJ|ND44v#Cwk;4f_4qRqdr~0AdKAQ=2T4k8Jnbasd$`N^q z!neld++3r2O@<>J&Tr(hJyzK!kDQWa>9}tZJMh&Vx^b!md3Ve71HX%Vb~(#YS1ugW&W#o}f2wLWclH z6DHGsOTI){tKwnkZdCNS&A{rw&tIAoBKH0Fh`ku&yaX-6Y}Z~ldnt=z#7wr2)rZbk zOEj}npIyHfBm`09-(fyXP zT|D5JnVVs}a6XJ`4p%+D8X+=eMf9?W43w{-o)r|A;ivDwhiWzia6> z9=l0SYCQI8Y_bM18-y1-?-Ex8PxoYzLmo-SY28?s9cMa=j)~u7{O%0H{awS~h>!u~ zj}Nz1k6es}TmPpo1b3o2zvmU;`!$~<;4>Rb4e7FSQ}DA9kTqt(*$!B9Iv>pk1=p}1 zwJE`|>qv3d-SVym zZ`<~Lx@fr7k?GfZsEkI12&+epH6rfw7w>-w;DR*a=v6XK*XlJnj`4SV&$)^BRRA^z5H89Wh9xc?` zT_35ty1Q?HW%&M342m=0Ax6r~JT*NAyys9+Q9u3M9!|Tq+XTiHJz(Q43T(dRm`xS_ z0@hFRjn*p`L%_yWyb3H)P#J4{%4$r1BzwX-G?b`|14!{Bocm-W}w#fOU(R)|Ok#9_q8&*j_Aw_jVx zQd1Mas8~n!P`n=#-H3Hu=BvgaZmxa5d^kf*;GZOq4e$Gs+wgp03wGXvQuv|owiO-U}`u(Vb|{3 z0)Oi5lG_8Iqw@LQUs=rbYxBD2Y3jwaJFDJ0J%>+kbw%?)A?Ys-u|49cMxl@~=@nmL zhW~jfavCF7_wzhZF@gH`b;ykpFzko|3O7=EdiwF7%1T}t+%EmV`X0r`#-_|DE-vnT zO7=Zi-21H(O~CE;@EnEb6If5gYpryXmX_`VOEYIrtH!mfi)mn8bN}uiw|i%fIWKs4 z_+Q|~)&QRq7&y2M;1eSv_xv?gkH#_z)6tIWjnFUku$T zEj3t8-7L(nF6Sx~NbF74(-14&OnjF4_?qc~G#8nuXZ_N!P?7qFBgT+PR(Hut4M$dj z)uN4+|IL|>>pHC0yYWT41qzsePfyP=yBJ=p#ZkN}uI=`qti`+%>dE-Hc?>J!`dumK z1aJ*K1IO+_TWcKey?2`q1=EmP2YB6ZS~Qz3PR;h)m-uLnzuQ}Z@k4vZSBLpv6uw{2 za&mGKm6LxsR2=366AOY+Bo5V<L+fezS^~% z_1kVnb_I#(2fbT^^^#-bBmUdhr>oHb4?qLXy|>?`&AofCSnM5KT-e{yFa2|7UadWY z844vGfvWuMIFSQU!w8W7-j`+x9N+qYlJCk@qroy1;0&j_2JZ|FQqxEy;usOCn3$Lx zc`b|M#VZaB6p5C8uA#7JR|qPiNqYJQnrNxUf} z5}Nx&8gVfDTw3e#_tL-#7cJ2j8fXx-nA~9wYk-cDBQ&*xJ5`3#b~tPhtgW4oel$Ym zq)X0o@=QfIi0r2v4}Iw!UcJTihhXE;37RG>=rq@Zz_C9qVrWw!oQu)s2M_Lz`N;VB z&!0UYM*Aw4woeoo_b3)sTP`sD0ZTr5?K|@A?oM>n1kA=rf9~%`QSL3$!oL77gJd=< z{MTe;k4|kMNMvuS2t_1{F!Zf->YqbbZ*J$4+wGfkhW))$H(=G9pBV7?u9h@y!l z4b+c4KMzsqe6PSXIn$eR(2?FU?o9s*ep@!ZXQuPi2hZu;`^iuAO6W5P2WNL4F8jA= z`5I7w$nd$yCY8Qo)vC-Ng|<{xYZ}OXQm#mdx@VvFnn&i67v>m)-MPd5r>`y{(Laj!W}aRPk?bA`1YNHNOQ9|#FO1c;Y=Udt3k5pHIQ377pG>Z_8Yzj zEMPvM9L`nE<-W@ldci0&SPoxGxwRq9D-hS#PYNm(E zf<2ECf0G1Wgg4QTL8f@01-r`n(|HhXpNVH_uZA{eOAU!5$>vs;talqQxw(x-xz3~X z?_qB7$72`$9gL8rrT<9j+M21>X^4_YDaz2ok-_JpqdN2UyJ&dV9>R{ol=yv)125fR zvr$Ud2<+kc{ZRr(f)_SQ^g;O23l|Y96SVXA?eP!#1H?(Ln7ZR?NMR~zZtOj^n?a=c zfsOWzZ5^w=fydG5|0|Omkgp{#WR1(!L+NT-Cwh7@Txb|&i>q|)Sje3c6`<9J);;oji&2^JIE>f%MA2!?B zT7F!tOI*NC`CP46l?`$v1VYG>!$YEbPx3zy@@9s1Dy`C&c!+Gj(-z6&azZWt5TKpl zVH9JZl$TcU)XO}T0$&30PcoWXy19C3hh$n9seE4U9olQD12UG7#OGKzwq~Ju~qoWEW-|GeKkJGd?B_FSNP5e5GhzWzt$sUI>UR(2^Bdka(IL3Sl5=HL{`#;J#&J;=$l)Yvp z)~z?kO759l>$-$0zi=1UC|`o`edE{EZ263L4oaCJkoU|%&LRvOI+)0}CSSJJ(WqVT zJN%No$JyHT_0|?-C>EtWm~*0vAas_GwojmyH#6I59@$;i|+&;wCKQ-_k6=<@udb(13agMT!( zHIV00n|=s(v%>CaVHh;v4eP-XRN_6QhTo#Du#x}^@3`!U*Vi_k_bS{)U!FxP^7Pje z3};tI9C85%fm=C{DOA5yT7j&qrFaLLHKzk%gat}k=H-6crIsHz>>8;3*L%()QxLeh z>tut^2JbGiDWfVaS)BA@h~}t(Tabz(qYiT+NSya*_#w)OyV5_{K{XOHN67&F z8q%s?T#)lcko27ZF5dUCEbPmmC2R*^r!_35pPWP*QK^B+iTAoP`uzhgXx|2vUHh*0 zP(_Lu8bn{=_NjW_#z*P$80Y(KeHicU^)FI;Df4D`JS)2P;G3DG0Pdl_S9v(S79mO2 zpAouWZ)hp9g47PdZ!))!^iwi4M$;?tZofyQhTyS_(J#(Z1LXoGsOQ7h4;WhQEHap3 zj#$_qFxNMZ<7j?PHWjekTAx0nLeB}2N`@kJ-n&sfs5NUhk0=i)x}XT&I71by)bG)i zR~2R1R~n*mcwO@pK6K#M;@GIjIwuSW4LL=bS!GxZ3N{;Ri|<$bJxXe1)tg;>8PrTC zVhAmDkgpjl9t%g4h827Zs?P9Qa){Jv30=FpPGzwb4<|(Pg&EkmEgYeWHVgMkTYNt+ z%qJ|f?BO->Y7n_+PIERF)U&?_?~_p>_=;Uq?dCRS`;iLn`6hzwZU&%LDnY9G^>#P>YMHKe2w8 z>2dOHv)l(+UhN97-hLJeNMQjy$`ZyM?7D~s%~&)lrm^UOCPA*28(%{USs4)GuTNIO z!7&@3<{wREt(Q~-j{8@9_=Mj-t%1Vu6{z#B_z*Iadwzq6dxngpRk*pnJ*ft_3*&a@ zEAV=Dn~@WBz1)a8C;S+gHt^?x2|WB4;~2CQyvp*A(v2zzClQC;^Oqa}LyT3SuOEMjNlCF3v~Nv8 zo-Bra0=8y5D(-+iW0|5ZelBO`0M7w9*G<@87c`>f>96&eK=DzE($g2?bSCtioT}C5 zy*$B<=%!}PuR;%0R)R)^ec;cqO`ovTvbC+l4=BDTk$szq63w=#~_PT*UB_bsnALG@;k;S4&SjFQ8l z*Zx3Pgl}5J$LDY~JFgy%sZ17x}IuT8?VVIFLM#qfwNYm_HBZNxZ_E#>oWNvEex~Fd&*nv8DXr9<^dBfO|K@DuQrj%B2sZ?sPOS zUq!^Ey#tbnBZL--p7KA1fK#mWoh#iQO#gITAbi+>DgMNV&}H(!(_hyEB!qP2p)&Mx zup54B7u<`C8S9F&yhai!gI;xm1qp{>GcAvzN9oYPPqI~2NbVYZ0j4)}y))q$#u^tp zSW+*)wVjE$i!Ai=3sbyFLR%!v&=NGPuTM@;?{3e`ucdk;!zumuwMis*QIYqk5jS8UHdsMDV&hI$K8LF_ zLrgl@*iq_9>R(S=E%?f-s7f!CtHEehz=tStP#q?=|JSImgi|r(;`(O~V zO_-QZ;83Paz^fUQ?V%^>+S-a^^CI6l_%*+1&(}J`5T1B4T*CAO3&bh$ zAWD6;nA=_X@tK@{iVUoO`YWhAGX9D2&*YM4AT0G@j4=+OPmP7Jn)R29s=0Zo4#i@V zonc4OMBoU+^JVCH;e+4llSvUdQ_@&dgvT+u>Y?>wDeOpN-f&p>xoo9VviT zE$BU6aot@7&6BcS*aEmza?5>}k%=W_`)hsQ(pW*g(JNoIh13e8ViOZrPEp{4UjC<$ zkkHkZ8>pNbsMv&rti z|CTC5JnpU8tBmeAtQr}Fo^*tm4gWEzGB!~v(Q4bHNLi??wen4^=e*o7dNC3&7pS`k zl&O_zmELc^c@=}>OR`h`wa(3AX7@J&F#+$hUiZep+PM77;qVlYQs;ZQslK*rxqd)Y ze0-G8XYzbPNZ~U!Qf@r<-v{6N3KhFiwKw=DAzI4e`BZp#YFK!cefq&uQ%XbE2xkg1vhDtw z`>V=V31U)$kYo(K+X4>}Qd9mZsmkvY~o_Ft)xmh0aRBR#dc3)4Ew0r>bySD8;uJVf7z>kNea~GpzKtI3I^4>3TQw@8faSyt6#}mIyE;vG?LVR%E6gz!ph2?J+w? z&fqH1lval%YOo!?$@UyQy;ND?rUBD0FxRlGuvnwuvwV9Sg70hcYVQGJPlj`sH~IPc zrd18D2btZbdv6h8g%Q-Lr(haH`_`wvU7*#zhi~VCS>LY_T3h;{5IZ;^^tX5rhV%E- zYCdqLAKC8ha!bS`3i;>K3(x0if6`k?b|_6){rs-!*t(HXIoTL| zf$$$7bI0n!Jca4=?~at=CCW$OUX%meeT&r?T?R@)E}ChpN-w7cfHmC}WEdBK()%hP z!)iQ}S98~d{Z{|C#PD1Sv&q3vFiAzFTmg_#M0PUe`g7b>n;*v1A(~%}HNtnwn7pZ! zS8$t(IGDu%9Fvj#d2#SO+9-oBm~|;0)zXT?`NP2aa$tCIapv0bj|Nz{E69vrwYf6Q zu4*J94s_t#m_#=O-TOM+VYUz1`uB^jCqHsb=O$4S`a&zeOKpE`ga6ZFnrDxo8Ms*_ zW4K(w%V=(E(lkr&IrO7VGY-V5{C)djiTn-jLmu0ewts4j@?;MAnzTKT%)tg^F{YKI zf~NXgTMe%<72%Vf<;cVCfh6mbX@6Q;(zfVf)S3PM*WQ6JbA)C~X!Fh?vDgU<|_@YL( zd7Y2ctO$nfg@TZ}0m4{PVKO?-+(7j?_a$xM$2#w;o13}B8ekVLq^5=oB;+q~OWvf2 zdVS9pP|1o}i^F?r{Jc~BW@{7us=*Sw@=RpD!6{KRL3Vkk~|RW9`1v>S;L!IObraehr5Q-)`tI zeMOp~UZdRQA$mDc&(Bh!D0tsoQU;T6#-4WrX)vIA40H(kYVsj{$6Svv`}1Z_jT^%&J@Ig!NzoT z+{qm5oJZSrhfyR7`x?fT+Q4R09-?Hnc(T7D8~U#8xMh5j^X^SdNx3!Qc~2UUQfC0|BuJ`ui}H_6^{!#{sdfiv!*(9%3{(8gR0G)INIxt%ha;U8e612{M&!46fd>+Fw2-|vo z$fDJr9LDtKO+G(c4`$s{%2gqo8PN#gnWNe;O<*C@+umEE)*4eQTos$h?i2@3v$spI zzYRX2`!Vw7JG>NM$$pprhte5Z{to@@TQnjnUfL&_9O?5Rp+<9GnHqN5m+@}Um|vr^ zzM$TrN9l=0v$>vW)0-A|J-{4+!yYF^Lp}9Tk7jM;FZI zfXG?aIN6kAlV);cM0)2~*@oLAlqm`k|DZ(vQP3{al25{!S+d;YT;kX`Atu3H7|0{7 zwNj_4R z>)2eH-uhuwe-QnM1;)T9xsinq)p3I`7m@nS0`PzdMoZ{!y=`oQB#sRP?{C z*(<#ym@zGm=otyI^QFQ_j;hJZmzGP&LW|D)M0Nr-!-vWmTnVKxJPt~WgGTGz>m>o) zuLWu8R2#PX?F8VXHWU;c@xNI~>?PP8yeU9;0bWd*Oz=g~j}-2=EX%M(FB*PemaXhExk645w|JDhUHq$NnW)FT{zKtXy&wNy<$ zv}h&XK}|;En{gz5o^ibopJt)omw!?B|1Ow+rn7>?PmmsoCBf45^nLBrXrMR>a|ZQgda+XzG;q#cAT- zRh}Y$j&$miag>b5{?~y0-`f`uZ?7RVD|4zMs?ab9G*7KB6ChCf zl!4n0B3S3Qi~K~}xXwhr4GM4-nm?Wq2;Qkwe8&V!b{C_01~&)NExXe~!8gux3NkWr z0qsg}l3zDc!57w@{IfUisN{!>b0z)6a{_7?~S)PaQ&rR2NO9D){ z5fuZ|$zUqO`2{8LJJLIFrIvP27oNT2V<4nU(9G~8u0kwJ*MdMx&Ye!?R{IA>Z!|y= zov$5xP0Y7jzcT-<_!k`DhhUQUZbdkbDAP+@mJg<$lXV{1BmfVqJyNN#+*(#yY^O0czj-4=i>o?@-g*BTk;`(< zU2M{GoIvHaZVrbXsVC*cJEx05h>MHM{WR5h5h@KC8JVg8?s(1}&J^1Bb6QT$g)KPa z>47=mIlAY~s>GfVF&)1%aIs|EGWZ9^(rxA(WR2(nw5}L<>g)7vC8JWZK~FuZ1(WQS zf8DR$J>Sc?XH0Yh^v4 z2DcChcUsoPl@iZtV&O$yF;0l_I4d<@C#vp0XiX@G>N3ZB+`Wr)P@qYj%5J^87=K^Y zr@wPI+6dl+4B4p_pJy|mW7_~x-a@)^r0aF1?CR>e<&{fBQsD37u97H0QKBG0Z8vXC z&h?R6i!8Y^-dewVC^o8u+>3za!?vf^ZiK`3fAHD=z4?x^K+QXP#1}^i1#G9U8y?^ea06P zufCFuud*Xaw-aECul!G!;(JJrnt@ss$e}f2OkK~|ew*!PIG~;0sY7h<{SB3)Z1Q(S zWLVG9OA9-7UKrMLAyFjjC8(L1)dtYl6hpMyJmFs`M(Y(wkTqMa>f~qf03|=on!P(* zRIunn8Qu>QJRa9-?~tm`67Z&UA5e`W!>+s>zdzkfZ)G#f5gqp@VS$E-@2BLjSv%X^ z((tOb8HKF5zS;**p6fT{#WxgEL=}bJS?71G^TWF~c52V*q*$sronKd+(?WwH57F6 zhDUU~@|~F+Ra>$$5`TXLemiuI&ncm+>^9RS(^?rBb|yDEd+4Yk2;1bx9(MLgEfpAI zQrtlR44#d00-g0*<_|BlgH4n6>LV=ZIf1o0d!YyggL!2MTx7`NJ39B44XZcN8J=ehiud&IO9I3k%}jW= zXHIQT@_v~Q#S`w<67#yR0r$9>fuF@Pt(zp=&PeJ*S79hZv&vMgh?_h%6_FqfcqI!g zHD|kD9RTeb<(`}_zW+uw*$@@20(|ctA$D4PNW@<{qeh<}LzWIXkAFne2!%501-JD7 zNG33>7-yxt_vv`3+$9ClE88Wj#_hWdYoz2|(0>wm7C>5o$_s*o#DbhOPs99^R-+D* z?(&@{2MAhBCvt^DuLd-Fk2b-sxGm5$5GqA|NylKdUdH|L<43B#{Ag@>J>A{EP_W$- z6l_5Qg-KRm|%h@+pXd(?}}BTwfzm3)EROcP=XJ-{ThakoHIEe3D#JH^xUlHXCWQ%Ja+ zk_7edd84F)_8c_Sc8nsM`o>%|(Wq>Jbow0+NVTX-=*3%&(w`|-S*dQM@0Y2PO2Zqu zHzM>6j%ky7nc+QZVeXzqo0u3HN?|_yx{y6muNPt8-Z}`wue^%suz62kwi*`!^l%%2 zI6Bp-TwlQa8`cG4y#2wZG8Pa}^#Zkz)BPX$W_u%7H@6&MN{-9)5n?_&a(_DC`EV=Q zI{yfyS=mk0WMsWcDB62~0}8iZY0(FOJsW(_7p!2ARjd!NjF9l~=fcJ!95gky;IHgJ zjzpf(aAN<7V7vWMmd^ucZahJDD>{E99y1)7NCc&lc9bLf%9Y|YYc2z=V6)u`Ahj@x zYNds2OEq40o9m~Tk!!lU_m*|E?k8LR_Z?>U?s(m-1cT%sb6ia2_qTg_xSaO+(zdP- z+Q6b7)(FV^rku{XoAUiHqMwvvcQ>bVxxYZxJSzAn^!wKP*PJGrt2y-iAwnrW-OyKq<+b;j%>d0tR2Ysa*0*gx9dK< zQX@$Ss&bzhD$p-x3R3u>XXA;$m-Yp9DGxc@=@Yw-`6{RcDRZX?qp)2y*vlai+3^kKL5Un5g35bSXL&whnN6D^6czv zu+a%EU^{#-6&jGk0|0sn$@0G4PraZ0VJq{MGo_s~P5rR!2m@&O_8_*zHpHIQLb;Y0 z0H|B&cwlmWwI&Di>%(;mkw>+uH14crc=y5ur)*$@&3>@21ca^F!(zHvr!S}fO$HqS zOr_4fWb3=pKlcdhWXyAoPz= zEFoNGV26%DB(x{BsbxWEE+3^J=2HP_c~}~a7If<7*OEAnM%@Cqp)tF2gM&ekt!x0m zr#ZQ5VN{V95pEYdPgeVk8JZ;uI#vLy;p5hNMY-(BfF(evg?Wq{U9B$;k)y2TTK&w(9#)oDr%m?Uc(}}9U6oJA~ zz4;6^9mG%*(_0=18ymY2R$t`K(}=s>{i+9~3gzLYkkCjk?Y`6g;Aii#?uVYydtF2b zHD|J)xl_eju1vCc;)VZ3p6126Qb{9Le_Jiqbr)rMr`jBdp#>~J zG_W?)cL9Rd2OaaYu->`l%%0*~S-WXGmflyMSCz#-v4^39s= zjf*Jm4Ahk$+Mk;>E!jB{iP)bJwF%Q3AyshK6-HHYud0ZUg2Yopr}f<~9(i3dQ+atu~8fgH*>qefuR#=>r9V5hw@%j@?7xFl_cT>Vc9(kGoK z3keCyGROnW7CS8Ld_Mwm^_qc7X|B#xDi(h!w+z;Qzo^CKwDPVmP#R8H3k?m;UElG> zx=#Q$&;+0bZ=Ud!)umg11NH_J`mo_sEm>Jv1~1G$eORpQZPmthqW3Q6uaSv4bEhPj z>bJbF+&Elb?fxKqPv&I7m6qNMo$A`%p16Ek-Dp91kM@LgVB$c5v)RyhYRwh)!+FWd zjg8K)n&&(j*?vsKWG0xzTkUl7=G`uDme)1jlLmX6!zG=~Dizz;j$+FD{o|htTsF(( zl8C2EV~qpmmu=9iKdCkD!Zl9mf;EXl;t`J@NL4J8CCd%|;)`nFlGlU;^bvlYe2J!3 z=S(4EoYALy(230#`Mpt+0q({$?*nW7R(~rUX@OKI8b_)(y6!_AgoaJHr?;Irv(<)j zk=j?99Bn>+o;5b;;%&9D1q)x+EyXoOp@A!)Q?@Fh&Mej5oyKhy|2_N=-`B5EJvh)j z7a5Pbyc0eTsRA(1pMRSNKtxBOUA|;gTm}2H?H=)v9-PhFOCdyYGjrLb;_1si1=QJ6 zWg4D~5oTMf`DZkZHj2>Y&0>pKIRhRTQ=HDG(GTExIbxJ%mP!sS~L!FR)??R7KY^db7Ea$s87(Ofnxg zbL71k-A&o2oxi#HE&jNpzo$uqq1S2)FuR!D*bO{PSm@GqU2EXOU2LT@pDEX2^BpYy z=k^d>3qlj)c0&hjeE*lTjAHeAd~3xqNnVYhYzbj;EVo{IKbDUeP=yLhs2GvzL*Jq{ zLb{I^4b|>siq$JprFSJ?J&`NRF#4FU85=BDqoVnK!<2}Nb1JJ;1--3EsNGoW-XlZ} z;hHHm1lXPiLmza`knmCSZl-@#RTX`w;Q%t-hJ?cI)PzMf*C~L^SUH`xm2St!&(3T! z9zf1(dfgjLT{}B~v=1lJO)b$Ludn+8p6#9{us|MTir*VZ1q&S`cKjIV4Ze(nq?Q8u zu^PVfuNc(;N1Ya)SjrU+ckFC>M@cCb?OQ@_^|J8m9}vD)qkaBSN%8Srt*qm-Jkkhc zJ=J)BBTLJ2?C(|!UxbtLo|S@SkYB(vzmq8?Y(GLnY%$G~V}MhtAR(V4LM98T5HU|t zt-3K99RSL1hA78x3Q>ko{_U+$}9 zwI%h=_DiBUGx7j^hb4kQd_Is{NlICgV(13JN>tiLYniipn>7bl_h z?XFN_kE>!gw58lLS%LQTpTZN|D|07p7cyn_PpbroD<)&cQmzJ>~R_t7nwIN`E!t9=QXJtd0EqZ$q$58Ss9}N42(wK8E>ei|JfnrX4%`k26 zKkAElEMFQa%?1;8Z=F^IQCULK@x%&-FAl0K<(hMqw^SKu&~U!J`(|AA`(Ry!MOiS| zV|uFA>W}>gE)hI8Fl|bbg6b3fPW{V=BE*dzvQ2Y3oN0J-U;g@Eb0uaD`6t|;_E&wX zqSX<4X3N$6AA#YV9`D1$gS%Y~7}Z+J>q!#n^)ZF+!D2knjkPFAW$|fe%~oo2A5YF? z3p}@&F>R!C5T$nzNG|YK3q~e70~r~6u+n7-B^hb#HnT>QZw-ee=|4LIzM^sCaWN}B zy|NWv*HJzYZhfIwma6A3oM9nZyeV%-OqH5Tx+6`Eq zstn)VMmCo8QV;>x*WK%wGy*kw#4bxbR$&9oknOj~82ZU{n8#HS07E)W6^jnwPk9sL z`ex+~Ot_>(U%{}dT$PIS<%1?fM8Ge9o+gguWiZjDx>4`#@%ZrB(j;B6P6a|{n+K}9 z3)18gGB@SEYs%|tS8a~BBWixXwhWsLV_NKT(tGe{9vfe}rTD$}|Et^aH6Y^;j>Q{7 z_ZfI-N42;$=%vNNVe~y~dY=5n08fF5IX+FB!CJM_`6_`dDgc#|8XCyv=aE+!n;@Jn zC(G%^!%3o?F6s`Q- zGx$7s#(Cf!mSPsQgY3%hI z%1Cg0&{x-~Byl_!6BpOF)4m4E$ZinSSiXvLg~AnRwcLdE2v#GyVD(I{^7)nwN~J>y zp%-??UU9u5jvZp91-({2UUQFNgXcncaQg6YOl5by7EZ=QOQRXBS4IQ$7 zE>l?9-bsq4oR&zDe1kZnr!}&EI>ymTE6x+51tMqd%Vgf`4NpfsDTgYfikdUak!{CB zChkFKdiJgm=D8xK3GoqPpf%RaP5BcxA0+3^#;MhlBVZDLB^2xFlT2DaQhLd|^nzNnde(Gl5=WVO_)SBItt2aZ zOcxMopMkwJ4o?;gmzVot!6$n!8o9{dhqn4c@~K`>*uFkQdONNi={DThQ=(zS<7wiP z(J)uyE@SQff+W*X_b)bm6v7`QFsZbL$hfFNX^(f3l3 zg3;&Dn0B$_WhFg*Q<R?Cq9%Wj6R{_hYv6vzcvt$2fJ@(rh6<#3%xmt zh-HRkWV&bWIjM+8Vf87LQ-7@bJQ4wJYJj6<�+Oi@fA08I1E@*ACjh?iGE$`_ zc9))>YihftqXLn=9>23oBxbgi3QG5z{=+%$F{&{G08kVq6%d7 zwel3gM_}C$u5W86N*^qR$tRV-P*Z-PMAHFUtkj!Ifpys!5G@Bw+rctHFGE5MN=Y>8Gj$RKp z^D*chQ>#0(iohYkje6GEU!0ve4gRO751%@-24vMkLU`f#mRs;L+g&JA-PL99HpDhR zcl=X_!D0jIFG(jOizDI@wOaIG=1IV=;5It#2lZcR9T&w-V!VoZ;ma!?3TEzRbS^@{ z*1}O+*;Br=%6At9JTc#Lpi!%V7|UMD?Gki6`bF1in zTn>AfpsPLDU5Nw)TF9m#wXkjwX*n3eUBO=J)ds~%hf29x&eAto)cyyinQZ_(We-1X zFJ(*CU-{=gcijl3KyYZ0-nE5F+$`XT>aI)FDlSM%32=gTbm6qyag4G6 z(m43wnB0z=$YO;OCeIau_f@rfruQ$IQlh1o=;*GW^e{yqVwnp;0ZQPbi67TC~S_xpGc5H zcQKm){t^n?on^Q3g%(Xtzd(J9uiojcwrJbaJ}XQ0-=p-TN>nRKm(QrKNCFi2x=K2$ zJ_b?FA~MlclvI*=l!0NYeWBw)Q!nm}&75CM0h zfCjF?Iy{VeCL#c}Ne8+Cp=W*!u;S-{D>4K)Yl}L)j`P7JY-VO=@}EYbff)_@VxoCM zs3G}0hgxj0C6eG0AMOCgdompH3rW0Yy>94Zk$#Y8Y*{iT#blLhG&K0sA{Fbb+^%*@ zo&N%`rYQx(tRX!}Pyd>rb-4{qjl+9)br=ksCxNsGvu}U4PuS!-R)#2oK8#t>#y(c# zwGXsb)A-;RQ$c)$I8VUzh}2Z5a)M^DPp^ms;ZB8u7$Mx1DW!hjQ4n$Y`<@B4FDL&rCm?{V)km;Vccw&o_O<50Q8B-kniV> zasURKu`3a8^6Ud;#cVEP2Rlk(L*cVwvFBz~5JPRS9X9~HF$!fj&!5;%!+|K)DiNEw z=Y2+)-V84;!PB$NS=WdNGkF^)U6e7>*{-EMR@%0La z$AcfS;Q*=+(h+v)SG}C#N(DSI2$U#Awb2}(CxaRB2D&06zgI&R5j#xe!JOTtzWC!X zgD;sG#o7H4mRhdD-E5UAqHF}-C!oqIbL`mIPz!pG&E)trX7I@|OyL@R{Ak+! zBp-D0dIHiU-?hWEc*}(tAK5H5(CN5sW3gDy%O%zRiOtN6dII~IjYqx*kHG3D_A~%$ z-G76L%V!%)i-kTymX-(UKQ91C1Y+q^AMMvrSI5%S+IrZx_36_mt+c#a$dtB-u<$hTolS4Q{Fcg3f z3t0JqGj)XDY3TEN8%NRIyf7;NS;lJ4vhfx-4M!(fS&jC#`Ry-A z=UwDr-Lv*5K#&$;Xg&!vJ8%v=BNGE0?{i~1WHNkK8%XMo-N#*v?q-w8=cU12W=CvHjOi&KGTZ86 z0|cJ?(<$LN?`B6L?LT%+r+ns{Bz;{axYmzOX(h?2aI?0{T4r}}gok7~h0X4A zgp_pfnQsi4K3d2nC)=+Y{C)@1u>dtMp>oRSeAbCQI$`*WfsiA!MB%!R>`sk~zW+ps zbNh#NzQ$IMnRO2}!WiGiTf1I4EVUX5QMrGr$b{E z>Kkc#Vuy(xDPo@AXNTe1o6QE%H=SD=}9y;*T#-2{}OK2QnF<>xce(5JzYb_I(o z$`a0v>7z*y_Q$uSs6TR`C{-z7K}qwVm1Cz0#(N}3OE9J^nbbcUm5_h>EI*+(Aw#>t z_o&gWG=ON~-&%^IJLHhOkZ{2=07>l=E3^q0O|}toaz?vu#ftI|$QMd~9QweOZER$; z{~JcTGr6+HX0^k0Gm_n&i1W^CH^XIP>s#F7OgOSO;FM;!_Z^2EJ7ux>o=5 z|ET)vs4BbdYds$HAWC}RjJ=9+V^ynBRm^9ZkW;Rko*V&X(ZN&GU)Gx?_nG0?4&*`RNU#0L`dwu>A& z97hCWXpZJn4t?bk1%W{s1nt}R~TfyM_>3NxW2}%=*z@jtcwY^&4Hbm?BhHoModz8e(h~xUp7R5L#Gy|- zlh~gtFT@{&dQolT`hyryErncU}Vg5K-dq zNtU{{-$0$W|5}#!ooapLTUfV)^oy|Wx=~j!tG&w@)_G9AudLZwHn`^VvB>lEcK~)t zctx}wgMhg%Msjry|Y#?Flau!xdy2RIf2^f!EcSkdcQRSQ}`!-^>+g` z)Z~Ug=m|QgFmtaKVZ$o7llU~X#Qqx_M)6tUq#oP_whYG7YTN-pmv{}B+37WK)Lg)< zwcKin+cSl_X%}D2H|?R};|LN|NAdqSQ6)om4cfvY*M?eGlsN{H2T2ym$#^j`)eto2 zf?^BSJ{?4M=Ym;!?}*_gyEvu_-wr76z*jG|rd~FuO0hz4G;zqwD36%<)0-aYGoL>6 zf!}yt5SsWFH%zBkuGFbYgrfvJUi|p36;{1qu(H1!^}Yx3O{yS~qkW!-DM3Yq^gq2` zSZJH1W4xE-tP`-0&|1+rqXjwdM0jPFyj9Api~%5DhM1HeQAw3<#I_k>z_!_3t+ytS zP@J&#y!i@-E{5E*EFvamMi~McE3FAGVPvsW)TI>EsILwMXIuJn2V8Yu7iqB_l|S`n z=UR1!+&_6MpQmJCWMZ-gR={_D|HvvkY$$Vm4iL*nOu>520TvnQt}J`FKph!jQ&>@5 zmLz34Fx~h?=oZ@; z7U2xJGRCr4lHA^kqr(p2LH5+!R1P8pTy{pKDsS85wv`(EJ|T2)5^=hmWJw}tn!~x` zuQUZ2z6brLpJ(?@k$Vz% zs%YM>Apr$~D6BWNMdiWliGoO;zqZAHc+!`Cm)KXE(Rr@RP4jT?13LbVUhlonz?K(;NhH0xwe-pZMg}ruy#NI7l>+)jg93eyv>K0`5Q2D`@J1C7IAUm+}Y8m^Rg4@ zR(CjFTeEU=<5qh`LD9`AS`h95R$ikZBkRq-AACv>yZea6>(=GYENvYm9x-S)>`cmm z$efU{u<C{|r*g<`$D;wrZOozi z)A%E$Tw_5T8(?cY(XMh7JNmPmj_a3je_l}j(iVR|xmW?_yPd8GN;)i59}LYbhHJ^e zmj)d0vB7KAXe}g9i?Z&26lHhm8PkiPn|P~gLG>@3Wj~7xwXMR)$qV$a^Ci-8S@?IU z7z!zowaj^FNz|k_Vbi$2_k>@R%l$edrMc;#78DPeFZ^k*kt7Rou;*IIfFn+@K&1MY z2avbn2e!@GV=-ASYkb$Jdb{L66%4Etx!xl@GhdFVgk!w^Ar=JT(Lz+MUbhx&M#{Q7 zb$)vzeD_%ouQi`yk=9fPhECwy930Q&`RjQAEoC;l*FE+^BjYVDJ59sW&-pB(S!I4q zLKWZ~fpNDn_190#hEHDv(;W@c^CtG0q@ntc<#lScb^ml20{K;A2<2K$L-acz+P#Bp zzJDSFu>oyS$&L}X$Cb^}%do~2?oVfae$b^sitU-7>c)-Oy_T+vlv=RIx9?_!j15stij&gouyJ>1}S|lc-r}v3yuP$`N_o z%>C5VnLHo0NUP9b7rQt@2(}?aeEs27i*l4?QEg9KQ7mmnt2L+4lO_@9M+C;X!z-v0 z5oa;~S$H|UUF&^utIZ!9Ktvr}J&8y8SAtiLrsq}wg!Scm`$uqy0&_zstd@JOxmG;T+lopWQH;cBz&0=uocyJ^kU!$V8g+4GF> z7@5rn3PA64t(#jk-ZtilP%DLi%`8Cy?c)RkHikBhr`k<*RD-V- zX7(qI>3*_QqfhACy`AH&%i23Wjs_DCgOxU4H{1E!I*Vld$Isg@3dqTX=zBzId}n>h z_W1KqF<7WzHjYlrd5JGRtif|o2!S&FcOJV>saHfCLC>7N4kpTB$1OK<9N&M8yj1yW z*5LIM2)wtb$?C0tpYNuy7>7CC7^rt%)7EB8sDM3@gcGJ2wC{>TfP%~vOL6ed0Wa75 zomKl!2PSDLsRmHxfAaRcPEN~JNa%Kbx$vElbA&1c`TLh>QrDyGD4I&V^cg>4XUnko+tq(YF23w+t+k@|ww;BLNZG4|qop!MCjL z?ja~@^i84C*`tV~IXwQOmlj+q1F*-zq-_o+0^hVFe~ravodB)o9rD`Yx`JWMaFRAe ztC+V$i@8JPQ=hRWyJ79`^mNB-(y!DU&wunpj%nt-IUFtK($Y5Dgb)2Ss=W?`@ow!2 z;mQ2`{8@Ms`hMZ5T0WZ{bXb|YQEywlJSPE4Q4Nmhs4`6JtV%`C8sm#B{FIVk0ie!G z&es4>G|r+f{qj9~Y5f$;;Jo|~?{P00gsz`|(QU*OYVxQSEDn_NmZD^a|ED9M!hfJC zW+6)A57U;J&mY(|YS6)4HRVVz$R`ak{lUj3H)oM%crR5uQdY*qdv`wJ#?e{{g2{9M z@Z!_3xd2Vl2Yn1AZraO?2alt}LL5NjH#11<^TFMxb$ z{Nv!iEF%Rpd`yUmyECoT1%7jIDd6bvNfnveH^etzG(-dR5WTaFAF-ps7Cez32CWV< zd)fB_E~mb!tE)OQTW5J$$TrFl^r!L}jnBP{7ZKkVn7M2W-|v(xk`$>Ht$h)W^ZF;j zL68|uLILtoeSb!8-D>lz#t-d+FpKRU#VMMJdx3)e$aNl@&uflU`64sBtx%}k-PX%a~dU2-uebJcT1pwlj1?d}a9)6aY1GnMQi)l8wJdp1Ao#iS$ zJ}u1xHIF%uIbCPht;bT+pY(ND8*uJq$&=7>myFd<^3D>bYf$UtcH(jYt1cXfy~%cE zo&$R9tPofT_ILIeO4N86xNhq20c$~)A;bqk*-1eGKI^D;4%g48Eh2j!1iT?&i(|6mmf@7VYgDAbmq zgdf*7oZ^oyU`#@K`6^3u0n^3g0Qt&2bTC|4M`pJQoGziP6nLW|yfIqmz*V69vyp^1 z297Sh1*b2E|K8zGUV6+CD@vhbjM8w&20&n6gqbZDExG z;V&(e;sE{jWhwmWFU)C)xncj7^$ppFR(!hW^%T0Y=gnd5jItFqjCEl66Wd^dNt`J$ zkJCYjs*WpMwfVLYZ5AxdloDWlrTCB{Kh!&?ozXW1OYGyX$4$>cj_dd?x;h6zS4vLY z8ntkm=qg5f_0AXLfCuB;uEPbe;FxbKwiHlBFc_eJEVm3IdFl>~E9KsQyqcpO-zKnI z%rf0APZOb6m1xzY{<-5BqUfCj4e3ZpDqAa_|nc%Wg>7R7(CKI zQo(1pI7O;E_T4yi)&Vj^t{Pl{IH!O6+1lFEcRJx8!GItPr%agNMG6EZ|kD|te8#_v@Ru$V4=N4=no zk;QUe16nM4h=fKxp&u^>!c=15k51F8mZ z;D{uQ#AO@Lq06`Cb^ZBymvcgD;?3aDknHg~5_i;t)2El&kdmM(rK22>_gQB%(8f7(hLWJ`5|n_JC~?{TuKLFoG*bpdz!Jj}952hI@}z)$OV19` ze7+3jD-9O*zu$2mi2@KSDT$AFhm~rGZGhy=MgO(0Kz9iRIgettMc>4vdcbP4C!qfS zp)vd%^;sf}8lwbm-$uo|QBfHafFv;0JOeFb0LVx&1VZ3f%%7@%*F|@f0Q}AuggX

D(Jvd-;h}-T^_Q9HYb2q>t7p~*N%6iytFm+6)qKA>Si#;r01@v`l!x`nOu)( zWbQm)0tH+|uNYDraJRP4N#2(YJo$)E(+y=0>RzktM?k^LjCey6c(QKzw4?DkPK zTK3@R-)>%rmC%xf6O7DZkbAAN^Es`Zh9;N^egQruyrbuQFT7C&^Ks}J1@Ks}ZPHdFJPsy7c4t!OX`)k% z(i0z#S`Yh#&S9#6;9pQ_0&$pM ziH{%K3sTqoWAgiz{DfF!c)bdE|7Wothmp+mis(-_usxLVAg7&>Y$Q& znTY$0CzzDWZUq})QN*ZhfV$z z(MU%CPI$S?9YftrQQ-CwK^P**eH`I8sud{$MA;QVA)1zt_2~P~M{ihuhIQd)LgfKXS#E|Z4zi?f#7*(XT7#0hFXrT#6s zIX^77Gesf}o91rQVrp!1881X7V{+cbq<51X;`Dt;&M2=vN5=Y$+K4+|){K%> zcU80-Zc9v!LH66RP1yN-!ZhfxBy*hT-=pdU*;d9aXM2lsWx4KVl*to(pKV!18&`z- z6!iBM5mCL7rpH)gX~OGapdNB;-Ex-pPD2shP~)MTV!e>7Y%LAl?#0<-fCi+;Q2JD_ka^ z*r$V!S7AG`J0E4t<*^I{hREpIMJmFlTginQS9c|TFTF{0AAxz06VyXILXGN{-Lfimc{ z6pKcq2LaYX&B6|~VmPfIC(I7E{+?GPFWzEz*PmFP(WRlDYmF&yCD_hVv=?7yGt5E_L)(si85ZcuF(oP9F}q9k*q z1+zY*FdSm(^t?y&P3eLjqV_l#5`3y|!=`wC=5XVEvHYYV>|o&XJ~xf*ITfV{^7D|i zH?R*`_Kgb!J5CFSwhOEor{oLAo`d_%zdQ%co8P;~@v+JgEY=@7?Z^y&v{HB^q97ze zjGPr>x3id_-fg%t|ln6Ppx*>{V1gm|C+srM~Wm zYxnXp;-dQqHINK)?@#I1-y$Wa|A(&s=j&lYgx@J8UFuV*^A5lcE1NP!rPZ$?bv?Ed zL3Xm{uTX)>xIhTfmuBq`&}$9`dwtj6k4}%7o}134;i$Ee;_W9Hw+GV&^pk=CT^n?^ zd2dAL4wk5DwNm&?`Xv4R42fMuoik2KiiNESB=g`mYO9+!9!-(;%3N^L>b`ujkaAsJ zpzYR=fb$0$XPabHl2Q0Foj(-m;+S=jvV=r6Hkv^rA|y+1+n1OR19C|`Dv@MZvrW*e zi%3L1xJc*{wjVc*G)8JXtWcov8Wh_ z*aV3>u*amM%Tu8hv{RmIWk2oGTD3$+40&F#gM@w9FQnH2`gF*t7?~l|BzCQI0{H(N zlfSQfges(=NTM9k3I|j4DmP@GG_nZK|vk9daB(qOZ z{jYC+`_QEfK0FydSQ+eK+uAG0vo|aTRRHeK?RaNjTC7A;ht{!ef(0sMSbD`x8%^hC zUCyK8hEoV~_u}#9SGdZRb^0~K?K>5T5ipms!Gu`c?GUi!X6nB4J4h%rx}(A}J%t}0 z_uMT&#zyxY-y3v!KO%?E<^B{WwBLoRd{C z$_R0=2=(h?wO$*($`KNxbmPdo6Urj;tr?a>*KIK>$M3Pl96ejx+Y7Tn6}wPJlxElZ z8Wz$*#Q(pkF?uraJJan=kSD7I=$!e7wvz*i`+c%p<|iID}^l{a|U{OaGO|Uc*oSWkjH!ezva-3dQVB`XlPOY*^FTDSy+?cDdJV zwQCC_#hprcNyMCOGugkXfD*puRT~4@pI^VCZ5!%Pi!k%o-5D*qCIhHzO2r0%5Angf zVk@#@=1IWM?E&NIqgM-Q6=-SjfJ-VcZtGm~#IIKTL<;T65abDcf{2;kb93XITiyHw zZ=12L69JQ~t@r%_9wj|8#EH1A^q15(tydgz*PKrGbXKp~I~FD;kUNWq(<18&Cy;l@ zE*G6RF%$#S!OK}zsgg)Vo*WmrAyxgk0e6XSNsM+;YY7<#->-PX$S96>>Z9#x3O+F- z{-HfPaLCc%Sp;?`AIUIsN1tAigUGX z&F?oWac$sw-Y@+!N^r%WKKOL+8IQuuXap9aW@rHigD59_obg{180>K`+33=Q{}WNl z)BBd@p76WHxysYooV*Q)%3j=F!1 z2~)BHgHLC1X%U$KS1hSBuCLmN#iXl;Y<6ViFAt9!-&q< zx$K^FNrCgCjS>(^s7b93n~fBFD~VAE8&QaZ#&9h7tL5iU16@QtA`X;$M~zaQbb~zg2umI-u}K^ zC_5XK>=Kpj`N7}%7@<;eb(bW`KrFLmlKA2NEMxSoRKYrBuMgvWt0=?Bp!DMGs1g*diKAuV@Y3$)-EnKW;M(Bvjsa3!_ z(oQ~0Cldq|-X&wbhUDt@q$GMRxxXU*N!MeQQ?;s4-_Rwrlm zlb_28JClGXj0v@sw~^%;tt9putV-7f5BuBnlz*JthT z2LEtFFNA+9wHLowIhQU^5M#V z%XArzuTF)GM@Vr)Q|)_>ulr`P@mzSi>J2hF^9vDW=o>rG;dd%)CE5!wYh4dm;(@01gLbRQZVe^;u~NPWUa88Q-Rx^SfdhI24+Nsnzo+b<=cY#v zb#RU~Ag~}O4|Xc9i^RwM)_w%cqwR5VcL8mj#5N^0C_G4+#f3DLqHs7=4uP;<%bulxApVqU?i|8I3zj`&- zfJ-e816dX|(8@|;B5&?0BCGS${&ndj{kz5M6PtLXCj5)f(!Ebbvql1!;SRo!2epr%Ndk_;=;IL4&r4K2O>_)DE%~-Z>J(Pzfx|&5 zf&2HwV?Xu9lZ^~2YNV%Z2|!Y}b~Wf%>=a6gE|_7GiWd&>IYXtQoN+lmTncbqN{{_Q0o515vl2)r^!9(ue01Du@)? zSsLGXM=-z>d@;bgrs#27e9i|y^Wx_)-`L9 ztq1LyH3ZDi?~LA#^wSJOsDtigoiyTq=S4jUZL6%J08ue$HP{l+vap;?j$?$pL?D`A zm)sQ6BSqC4{6Xj9>O3O%IPW=>~ zi7q(yS6SiPF|+u9|8t<8AR{}+KJh76s!@Zl#bKLW}(v!+#! z4!Fh)eJN6l#YsES^UP3#&0NeDT&JnwUEsU?~314{T9bW zha^6d{y4mAR%N*=1sgSJsONTam;Cd2tz)%f2675Av_S&D$BO)hE;w=3!kA*uid}vF zXnk|)JzIp9RK;f5=RWErOVob>%s-#2PFQeJbXlJnllkGXG{8D6MwF${A!MX&No}Bi zVV#~{5GtEvMLli%IY<6p(v1XiL`O{wFqn z!Bpqa%V>I?u*JFa_ORsIJ3KPB=b%|=(uP8e$Nd!)S%6E5mRRHx0T~{|AURfpzgA{e(Ihdlz1wX-7sHxaUXj5ciOF1YKVru zv-Mx4Ue~<7{NGPh(q&RxrlF0dZxK5t;b(;B8yE+GVj=%8VYmk;}?1#Hii*@qI(ht}rn) zl6ISzh8G)jOzcJS&p}$^3ZgHfUGMLr%bHbyF<&}6d0%#j6|1K`)+PGJ!y_pJP&o?P zm-;au)jxG;nTK4yWh;+vf8{@Gvx@1yI}I6=di?izH==O59nsZ?Eruensg`@Zdzzus zf_l38lXT3AQjo?@4N@&DdleColu5`JL2QS0{XGo7b1$~jNsapzR7@f(yBg`=KAh{w@^yJ17ZbPDg_=U@=aP_1k^j zyc|C%BPC?EUmvY?V*JTJN9muo&!??{=x&sAo|XxD`He3bl_VkogYWO~#GY(`3K-h& zdqatf1&}1+A2*_LYAb^EW(%popXSBRm-j^NEIyM!4a4<9nNe&UF-TID z)z;c{U#?%hvl}UWdiZ{tl=O99A-2T(Kp&9lLQnO|+=D3hOVxApB%`(Cj2}J;F1D)r zjQ5Js58opwx>Dbi*O&MjU#MzN7_Pmjb+T6k+I|VHcc6ogY`d0LaWTI{OrxR}W7pPX z+$t3|tE!uwMwV2DEsCzV8Rn8aU+``~Ha>R_6UdJs-FK^3pHt(u$28~^S+T=<-ESiW zA<)+DVe7!8Mi`Km#D5ofF^uRBr^}Ijf4?Ee(v2K46egdwPc=!+B?-jM|2bM<=knQS zqNWSHCqB9&oQwU3HFOu0Ht}=;j`4YAFYKJ}E0bG{|2*YXiv-DDWoR@@A3336v|r2b z0G5hJF8(>-cz%9C`igYYg{viFQFvG)$~QH2ziT(9N*N}j0KrK9w*JsR-|1$wS9MW& z{7H=_$znV8JI++ZjfFZ!AU`Hmu`}<<1B?vyL z$DMb(mG=1E{kATqF)MVJv_+4bL)|Q$n9wx|8KPeOhWA{DBc#m zPi=6pB~6TCfR8`w4k?za1)S;oHyI=vEgHJdq=rveq_i|W8shZ(Bskep;J#mtty6yw<4sCun$&Ke2#HPkZ*C`iI^vla zSE_m!j3qw46nu0at%|q`+inXZIeDMP#s!hxs4Arg2FKc~4(r>UDW!%6_euKp^eQb9 zols2calmo1gCH#8{loLcvC?oR;tK4VwYgnFKr(nE7Iu4wH$o{p{|dn53AC%6D||lm zh0yUmGdkH+(W8TRB+QC*yxez4!jERt1iPz?T&$0+4tUf&=>Nj~E+<#+%BKj_ z86uDpf@dQ?gESBy6fic+oQ-}iHx2Qhr14{V#uYmrc`CoM7y0ynckw;SfrBK5r{h%QBVFqa zx&bCY-LNXHk_eTZdXwe_B8vKG&)jV!BE40#4P2};Sf_)UB~$N{zC*@%B}Iw$b7Nlk9^PM>2!idAC+4<=(<$+BiG4hmFL0r4rh|-1N8hZ zAvd}BXJsH0=Id_*eWc~aO=aNTZF}xp6NQMX@-Akoj76BZXN{>E*lI{VElS`fb@o+n zM9gwFl-^F6!2kc(l!R#&zW8PgDUv^g*y2Fm_^w+j7bSHEXXA{k-tb2j{2~M;Kz1db zQZ^GCiu*}J0_GG)=a=3Vnq%kS6$nzeTo(y^D@quM@-acTLjwd}Nd z7$P!)=lW%_$Zl_C5PB+U-S-72(wXHF7ag1qAE#p!|oj>i5??lrhf?RNLq5yH6fh*Tr+vG0@?Etfdbg z3JDj^ie4O~KZGmY;BiKKRAm5_In-9h7*5xqRS&E8I2aybf)%4&gW!us(e2_s zB9}&?Dir?yvpyQUQe1&ZWb&3IPk>J+DyNF=W9y^&s5NPop6W|FZTH)so>j?X=>CN@ zgIe;jF{6ag*}dg%bG9J7{?7N|HhHB1eK}3tn*NT z9SR1w3~@6MEa^3&eECw?PIPhH?wd0q5fRdLR%FjC;P~6cJikgD#!2q`d&|Uv z>mH7u+b%?>*nPEVP}Sh@pq?FVctQAzZ4!-4s5~1r{w`R^M|(BBupuNJ?wV7_gHX1F zKIlUrJ^rSNiJ{YgvWt7)Swl8cqGx*aqd$iqKA5u81z{v4ucOx+H9M>~zy&-Dr!SBx zS3^uC#FL&$EHG{q`FrjEbB{6Uz?T_MJ`~VgR{$(-Djh1fa2pmDVq;SxGMmp!%B@GC zR=%)~S10}P`OyN9XDz(`^fzbazXbW``!FyW?M+^-`);a}LsR`%1a(vSnh3m`lfgdQ z&^JCrI(J)_3#Y@qH(%Q0PnKl&%WbFduWklr!qL`WNYN5R3VIr{dR->-T@7C3p5!H` zGYT|61=wSNZTADE#&0sfUk8wl$|MmxZEWKhBn%%hSfsTg<82L#hqV3)*bjfL29r^S zP)sGC4j-ih2=}5{OTK+(rnoa=woc!9+l#d9#&SFCxOPNOM7w7G{Vef@V8N@=*>OKc z>0vy~&gX-JqZ14MdIH{bBv^4pER{^O{OyI;65D}odhjRWW7Qm~68K_P6#aIyyWv<0 z+M4EEi}BE;!ZGH)oMaaZJ_`*8y4g=D|632Rqk&?Ay=6EI964uxAfDh!Qj9}GyZWh2 z4SE2|B0b8{$;BYeb4Gd!L@>a>6)L0Fe`Dm@*BuHkITP4+MN)RDhH^h*eIGGE%W-lw zA9%GOi-#;Z^X2c|PvCpYigj`fA_x(ajpRFjv|b_SQ;J4w`+qk12RI56*26teaOm2_ zZ5_L;<&Wt5L=K2){tpg-`a+zkyUqkf`2dmIuo7?)_)>I+u%(Koyb z_suRZ$Zso>tm)+$Z@diW#NP#h}o%YaHICI z7&#kQa|IA9LAWZ~h&7Dl%lA1Enpe%^{&P=xEzK^t{u0(2^P6Hu{29i{u(HU=!Z z!~@%>R08zm?pb4xqRD{zU}_!9+B1qESe}%G`^7`g-EVBf;+eg}9;HDoivk&z^q~*9 zyFlUr3@u-Vy9?Jt&l$?*pNUKVRc4(16ex6+{cTW8_B zW6C9)b#fIl_H*B(48jw(o|&0!R#Bs+ogn>oDlV3=0R1`gkc_A@!D}B2Dj8#4lD3&C z6;%InIDW740V1rjM@sa|85t7c(t?=v=Elh-x9z?Whhb6wzZ-8;Lm7qBZ$Is<{m%F9 z(7DQO0T*{{d6px15zwui8kYz2M4%1Ds8!yg`g@aI_`{Jy2RrkMs*QA7u*zfO%agRU z%8}{Vn4epfmPUce`D?fM@Dh!>OWLVZIsP)@U|7 zl|8Z)5_6A>whQa7^I9_A+1mH@F4M{n^S2{A3iC!+?o^}(0XHe@#c zMv=o(HMqWgeS7kaQ1~EWG!~1F;-M2@g#@1suj_hW!Vf3Bi>)4_^8g}^&t3B6>eq@f z|1>;{nU7kF-Gd4J(!WymHcjptMN-Y!?A!k#Ge!b;fLOSotnd?1PLNYud4u|56nJax z*pf!1j#ZZgMV1gHNSvnXCYNktnESP8*e+*2{qUP-1XL?)+|V%R{s%D{1@B z1G=&?sc!&RhWI`)$My8{`epj!n*w*CyWUTmg#Uh@3SZ2ts1Wtu!~2!43a! zA2*x$5C9Q&(~=lUe9#i|wAmll@ifxR!C4vUhgc=1s{*@6gGIGbZ?=#H$xO_9DMsH` ztLHy2+rhYLw#)!=D?fa&esv;|EU;|{?SuJo7vqnGFab+Gh%S-5$8q4Z*h(sbmgS#; z$2$|rxB+b|@aGrH9qyR~ZFt_xkx4a99*3v+9>zRT$I$!RwUPHURIb<4x;?MI!nNhZb&9IHc-S(UM~2PdN!PV_c&Auxt7NnD+ZKkJXBCzL2C!m_I#KUat2tG<%ktdG~2pViG z%`DsO$E^qWu%hme+p38UVW21cs!!x~E<^>Rv8Q1Gfl9a>h=VcLi+%mw)6gIU`}Z5< zo|v;l^s0{@2|kh(d7}*Z=Q;*!uOD_GUl{VGe6pI>66SDaSP|6{Lkya2y8)SN%sNNM6fVJ}A06lN+IwV=k618MLBqT;P5vyIlAl)zc)Zn`qg1xS( z(i6Xjzui1}<5E|@+HX724*LQ0j$7Fn-rmH0+jg17j;9Bz3?BKT&b?(81IA>=t@ZmgbsBqcjK+KK}F zUl5bU>iO=I1}g$H?TS`p8;pWMP9dO&B zwz`cc)m+&DZs%(jDRT=DV9NLIOp)iyDNQliX@3DYTxqTSteM z4%6LJ7z{^NNp(f;e~?z)`pw*sn%h(d>7|^jowJhpbJi`J=h>@~f_*p4>`>G>G}ALg z8P9LDWPV=db?MVgo^gVunEvb2LS$zb-eyF6@@qnRbx<{?p?4ilm|LsiXWOHri!X@W zxVjh)XCpV#5|pn726I-|64wI+1t4^YJl^$TUHY3rf)VTKwSV&K8tOR0X@ z>xwAYw60V9&z=(BRj^Ze)}}vl*p?JlNuUZUY}BR?#mg;{KY}+e5(M;&t5$W8T8^q^ z6S-16CtIR0ot!WAF5lL`l7c;T(X*Q?j~{Qx9RT@?2RnP|_n_p0;9N&dfOGLbwH^2U zTHLRyadueymg)H@`kQu$pxrgi!_i+)7DRxr{Bi$*(d*Ckn@=-!E2;7&`K|5tecF}B zSC&;(faZKm!XyIeteF&8D#{}#jb;715b zh?(>q?l->|&A(;x{3zSNT3I(l@j0DU^!P~U8w*#aSOYWZMomHWE8=qks(y8_$AFA(`*2}Il#cq{4ptPRx{FjsF;6$yo z7N{6)vK1MwIaLAo@3u%X7Z)8Jon!mPkizpv$o19OSy0h}H9j8zF&R**ocw44gYB2L zYHwU|!ipHPgYR2T)}*{!XCcNWiWTMg-4uFuf^B?K@v{H9uE1fd;{eR@QfhQ_EhyAZ zU0_=SPm*(@!?$O*(={K@zMHD}a(QP3Yi-@$3`ZiNAvGd(mYipR zrUgBW{_oEYhxDY=D<@D-M}D|;mHpg){pfQp_{K34N_yDn zF@i~gzU74$Z^MUBHLbGk(71+xHc!~jI;^qm=B|Y==%x=0;vb6kR;-G^a&U=nbFK3w zpQs+))3cM^N~lw&nPtsKID>Thk{#kfDHB_@tY}6|ne?DEbsS86?A9Gs2$ME`{!bSR zrS()UE32ycku*kA5+*IkZLQs(U8N0^dLOL?72NK!DN@Wp`pm?r4eGa@^cqn>!=m>H zVwq0B=~@fK{3jEG4 zANz->esWBuDV8pH*WKbyZ;QiaHwl_bu1+tC9i-jgmRSL=sZvETmqb)n%RQ!^%mORp z6aJz0>c71%X*7Rq!EC+8njF1b^f8L-s|hyL9`6>Os@2jBBFBixAo>kjCPSk}b$9(A z1WArBIV5E&;4;BDJY-bxwsVH4V{LAte?ZsUnR2*8_%}8573pJ4vp+wVN~l_u{ok`Q zbaS*+;4;T%qm|Q+KlDp!AwFL6916A1Dn|r+5fcPP@6uXYt39ta=NB5Cv$BfO=ctt) zIw%X{H<;j`_dI)i=F-0F_fzrKs+V0^yEVwzboU&>3m3R?^b1{kWU3mh_)<-3>k)#Q zm;$TL2Ytr zwZ;J{N8Gb;IlP%1o=`MHOUbh+eUi{SuUXBeq&-#SNYODAcA zl_crkI_t`8gz0*jM4E&F}0E{-ljipC5_nru>Bu%J%Ix?s(k1B z_rD~}k@n6Brku>PxuT<$T(|0U^23UrX>G;Srk*{O+Q0c~_iSLIR=&%neeSshUyQXH zoZ+ejBcHNtWTv0vV5KCC9j{#JRcE3WW*_*aZC&Ii$%o=E_k~ogU$3O<_IHOze-rvp z=0U>AJd$5EuMR&s{o}P(i&xcIihkkQX2FcXueBFoGS5Yex?B5j)5Z9Bjj$`66(1VX z%M(~zrZxmC-RxvnTTcJ{-m6vety5eaQUARcq2Jxz>0||l(GvNSj3d&l8Ffi5SOmu7 zGqtSo89cm`-SXV4gYeuSbJZ4;ZyanIpZXz8_c?RRNo{m5v5h`A=As=&%I=V=dYI|! z&+?)cY<>P!i_IRx8PUsqHemd*SI}N#iZUA+8y*aof;BwqpY!x@{>0iI!AWBGnv_BvG6Ls44_Pt0Re!2oX$mL{?zF zEI&!yAL|e&{qN<~wgkFgCyw~?zFjkGar+^*+`Y_}bC%G%_?{dbM5O}2A=uDNJ>hDm z;*;+#2~6uXzn??kv~9rGUgAqKcs`<%RZuV!_pbN7On7jSd8Pujxf|~y2+MM{N+=Lm zQAFyhdxW97P?9(0_4T1+O0C_$Mx*wsIY9lZS88_s((*1iL$f&~`g!Mko&|~pyW(2z zizKu{`SEw)y#Gd{qABTUZTijpbNK%e^_5{&HeI-aDBa!NwGru(lJ0IcDJ|XIUDA!x z-QC?H-QC@d=fU?o=ltQ9cy0E~thv`6YknAdxxu~eHDrA;kap={ss4)^2e82Ut!Tif zLHK*yBG)B!ig{(a`DTi%{k4CwsBM-6tf#EVmz6BUY2zy=K0bMm?COuh9BVa2wQx6E zqpp@K+g~PWdv2ENf%TE&iPfV(?*T9+jgC2OB{!ruI`}1r#MP2H2(#uo*K-2bz~|$@i)7?bZ$h zElb3YP8qbk?f5*IdYnWxO+Q(*un)kKKwa0kK#$0-aUn%yhH2LdeAqjZPH$p-Elv3^ zi9ND$JD_@!e$~%2n}Xd3KWHa|KoNR0veA+L9H9lqwn&iXuSO%Q!|C0LpYz@(Y6bwz z&H2lmm&GXMa%<~4F)F_o-mVcNs$jB}Tq8{P*UqU$5yc55TcnxcnG63G4*um}r$@AE zpFn+4?B6T)VleFKRK~yh<3ffoC-_=1bcs%bzKmuB7?>LjlU6+YL|`Yd2b-r6rEaC~ z21aLyOS!5b0(TdP!B0iIImntDIW|XdP$%w9AJv~#HV_{*0+eZe1N8Nzv<@#Dp4BIZ z4${n*r9BPH{&RP;^-j{ zbtkktGHn>kFGq89qZae`4s2ieM>Vx~iejScumsdpLL2Umdqd+4dR7S1^s*9S3e_lW z-%6#Ak1K+_8Imhwy9eyq=}P1lg~3ffw%SzLKabInH=ZK{xxkqSvqr*@hQ z&Ys*^zZn#fWnYx=b_#d)4YTWNffu((L5h%$95!+ALrU}Z)$dH{nDP2#s4P4g;IuL` zCH#IA#;TGIytSOfkjEbaD*C$Z0EZv&7zfj}eZld;sqb_$PWVox8B5i9b_ZiMClv%+ zbhYEzs6D(^67$Y~Pl$HTqqw-=$+p(G2P?RK_gJ3)EM(p%Q;jq$quTAV0MIEgv8Zpj z4+N1)9p{$1MOU`@V9K=4snO`Nd^V&?2hVwvv&Jcd7*y-ka&|g1ehX z?cWD}oQrcyr>>wI3p_-gP}W4|Do+drT^Q5rFCk+Ah~0iC3GqVbyAQG5(9U!a=0Y-S zNp$q#Ki`G4C1gufdas<<6KQez?B)GiQB#*p{E< zeith;_?4XQ+^xKQc`47lzzS9}LpWxcma9yt**Y>8-l~{+^4PR!D+SYUZ>Cz4F*>_W zZgllOi=J4tpDCJIZ0KK>bFkx;10pqHa7P1jrgk#{{U6r-EwbpA0QBOQHz5M_2sO<% z!IrX>&K}-HAPSQof0Bnx#iOM;Ik{|!8q^mc+b_Iu1xgbsdAsQ-k+!OANWeHr75!gT zlDNt)DFHhKWhXJD+T2WBT_vP2fvRg+|NRP8fLILM_=5UpK13xUp|6^e1aEkd1m;}q zC&#zdk#0~ukyC0fm@U;K_Jx5*E~`$SPRGqmNmF~fr8PPxKE4rQGG9iF|02O z>G$<}jpqUUtWAU_FWnAaeDAB}_u^6E1o8Fad2e8o8p5%o;7)f!>CUHBr%%NtbeHBB zGD!d!G}la^rtywFAn=310xNoK##j14)EwWJ)1^ili#yw0580~%(clTJ4bN(jvW{AC z`X~c$l@XT#mE7)FqH*i$o(3KbD(U(csOzeLmb^c7+er)F{2nNPN@jFWM;_M2kns}+ zzGpGbI`?PM&>#}Y#UX(kPOF^>9^mYT#t14xCQ>N`7Qddq{=l|QM+g{K4+&&lByNn4 z=>~hMu1poAI*b8p;IF=c_`XWZQK<}*kZLQHtRHXGe;X_y%*UkdxK$IVTEp~)F{!S* zZDnvZB?VLek#HGhqGYuR?>W`UwIoD_n$|whwZa|e_fH{Tw#j<3>QGBFPJ7!1fMQDc z51uMCVQW0zAi)u|1aaDq-C)y4t^(2-y8s|NBKrPx-7Ng$Hh3{74mCTu5V-c@I-xV$ zx!m?#)GtBt?g-rvQRSUe$L=9y)oMAC+x*&E+j#;&Smg zfeiR~u`Kz9OanUiQRVO4-4N;Ifa>x`3|_KRHJ4eZ&38*w7~AK-Q6pR|_6tLt2-x0) z68usv-IJQE@tl3Srd(K`)uAkUy6dzdVg~yOEv_+7wPgA-Zj95#Hu3`YRiGC|xcm^_bR0N_|q_o*f? zb`~`OmtHyLLZ8LT7(c|Pq~6UjX*ALrP{ap=q0LjrZ$2lL4XMl;CBuvLUAr3eHrXti z6LVX_v^|UManx^@77C=H)cRA!3l{ZIb0NM4^c6KdxOzV63wBeOB~?-^z-QzoMK&dS zYOTA}g_2mt>?vn~fLm3SKD^6Im??79np6YEB&16`*=PbdF*+w42VEN8wm9%TfawZ$ zH=hz$wfY*`L=q!k7pE|Wy3TxuUp;MGbEHPiyG8uI?&zG>ay2O!u!>Zr`|sGB8oY!p zxcHQYy10f|(7I4~fRGgdYI#d^|Bq5_5sh>$@W4V;eEKycwVJogV>F9Iw0&@=VrPh;X_oFk(^vyKdz5bzW zZLr}0IA9JsdxsMJ_oydS5Hjw<=*^3okvh5l!d0a7_zTx@x}n|5h1%kmjRUqsJ)`v4 zxzSc`9@*^T?I<|35U==!_?{{ah~R znHviuuF?o7gPkDG(yGALs&gT4;peutr_vzG{NG|2q2eJZQahgC`%k^u^!{k+k52*3 z+RDLR-%_dElnMH%pGM{Z*EOdSXPG z@#b_1jlXttXrcA16g;nE2X6!X_eP2LvMBOvLp)5;l45T4$KBH%(`8wMu;79Vw#$it?sI94Z3Ym~5r<(P z_>O#Vwr6EwXnDJzI1SKCog}cI8|t@`&aAui>WPJYvXEbWMabx}e&JdhKx+gX12&jW zDAG>vqrXQdV>DE@^IH~Jn_6-ef*#8AP-bnPl>nPtC;+w3Y}3YUWlL_v1zGr)?7P3i zy7q0uDZ+MYuRJk`XrX%{2ExMk+#6vY*b5xQWTIo)pfWn#n{V`SpT48vHmce`6~Xjo-N=Knj9` zx_<lxCY##E?xD#uqizNp(DYt6i4X=B=ZOQ=?W3R%U*x&tP&WuGB%`c3 zWVfDuOZ=4wRebhk-dr6^134`rCZrKmh4%@jlzmAwi=#;Bh8MF#Z*ZX4voxW{b=TDw zkdFA2ZLg}_+KWe8qcfS`FzQ=ra|f(CqtOfjO;ch&s^_Btrs^N)>(%*nk_?1%`5A6P zbHeNkXMF?o4Z(=V{5n;Zr`9(46?AEjP4OOfCmy_i2hkosEl=J1DS9dt3Gi-V!}9v7 zb)z0qy+~H*cIbk=E_r##Ngupi6vy{K3WNtLrn$9-tpD42j?zTVJmB79i61 zK)p}b?tNW4;}^ZD<8D14l=QeN(hiusVSeKPqr}!tr0`cCzccgC+a>EhHf>hyyXncP zetG}mNl;PqhaC8e`U8BL&y*5M03`DaS_yxCd^w@vRLgN<6H?=l>w!xy;Rz;ssbApk zf~-1?!n$^-U!_DE$&B@>;A=)mnc9qSZw<3xyI)`D-%dz0F!A8c)M&yx&XsXI3cC{9VBH$e^HRNE|Lxf4E3->Y9NxY?qE3VFenw_r} z>+Bb@8PhZtzNo{kL-wZA^2*Hni!LQb(Uz7*a{g^uO{?_>-&FGb4gF0wT)J{0$JRFu z@!y@X75vX?`7J_CpQP0vaKZNwv{E*=hy(oYsS&Udh!}2$$j|Z%+}+(L_lPc|R6tn1 zMZtg3y9iWF?FrqQ7a6-NQzR5z+a9<*Z zsAjh*WSyP~GD}3Mgz#1BOStdT%G!dr8)Hvm@Oz!&AnG3dp^pE9K@{ME*GHkIUos7{ z-yjY7L*M<((^4s1*K*r|{|^P=liwa}06i`lHT0%0<$-!kLO|{ac4bNBJ4@WhuE6lh zu+l@Q`}=G30NR`YFK^TK3f6)fC-Ju=dl&le0WAKosaCJsK80uVtAekBIM<5jT)xoO^oKCll));h(^Zi9Ud)GgK)5G z9%aycZx-Nw6Gusu>aHyPh0(a`b;~WA$}k3y2NFJ_>2FT&?#gZ;F4>|SDm%Q@7pUD8 zJUOyi`isJjF$GXmL_|J9^H5T2Ictt3T-)97vN>;_(5+6cL~W){(KLDC_07p{8R&$1 z-DhtyV5AXc2IhqxtqWc>u49ZmF|(QeUJEaJ_<%jWG*eul(s$^Rp!&3L7W&VHAJ93E z{<|z7bV>Xv19?SfTTahy0eFkFW0A0d3N=83t6^7y@+|j~)8ocJ&&tR%2d}Hs#m{)wNEKs8cC!ea({8Ncg`Il(q>7bnLEZVk! zGU$1-d06eXRdJz8U5c;4_(GM46i`x8ktC#AS>jeSJHzb&kd@Ykta!DhUcDb7a&Wv^ zZ<(kVATQa&wI-*wj{da+`~!rb&VrWcc;if~Ms-g@IUDV;3V~Sv{g9Y00=lPv)-8Z6 zJH4C!m@q5+N)xgoe5l&>LrR=O4ox-E7e%^G4Y^DM@#^ZvN9_yq@^f?5XYw}}dC)yf zyR#h|6dK+36UU8^|JGyi9Qf#ox6Kmxo=i!yqZya=WUm(2J|$DPN+9eq8GuRzV0AEd z2NJshlqUkVB#j6JH|K#+12sfxQno_A2-~wFWiWPIqgiK_({N~FZ4!UkJYlfANcS~k zxx5(Rg8pe)GH$05kUf7-O&Q8>aIuAVslP$QsZBJ5s^oZbe7n0D zUI_vDor9b(4(HF{rG<{{04V+8$0V;~@h$7}(`2H=P?aI%6-p%5HJ+5I!*+=kwW9jM zXWu_`dP4uZ2i`23(xm|lX9OXDKOM~I2SQh43*ENFR3q(p2Wkm1LY)`E@Jnfy$*p{~ zrXU^}>IZxgegb?h+t8+m8@OxJg$dLRcd6^e+@tYY2?9SVYcJvIiD`O)#A#up2O^&X zQ+`08{z)7{C5okqB*Jo`)tm2kT^kB1lQaD9QyQ}Eh9V-7HXFA0-#Ta(O6~S;`*Jsbw0?Fx%-3-9GXIVbPXm@j%BPbrS-bs#{>&KwUDc?5D=oiH$k?)*$beO$^VY$f`Z zgl?q_eu()cZP$}>*xt{=Op4QJxTnF`M7m*Y@Sjeb2e#Z>o?v^Fxd;|F`Q?}ay{uCM zrjRA*siYqVNfd$oTF*xVqnSU&&L0R~rQ;HUL5O}A z{T|4e0RBB7sIwt7hPicScf1XWSv4GSAsp!osz~_*C&Cx=uGPW3j%l`hpm34C1F34cMp`4 z$|}~JGAWk&FWmkD3O~CXTamJhilz*R%R!kX`LJd|bN;$l{JG+c*N;SicqA#|`CJ-1 zxG1!oze)vN4b$$yO?!qT`TWm}rX`O&ASj{JlsEcWKQ2;H{6@CGGL1uFz^^f->ROQr z(Dw(^KEe1_QDyhfbk%QpZG8+E1jM9?Ax}$)TydydWIb;fAo_{OA?{x$eEWtF3;-LM z5$)^Ejoh0#YMUWFu)`fpu897V%BkSj4e({pXZY}oDF7tn;{Xu2g@cu^Sp5cCWM2)` zH}P2^EW3t~M{hgcuhB-q#S4+SzK}cZuJt1Rd+tfJHit-&EN{<>X~*ZbtX=U7xPu$h zeDDli!o%=qp(irCj(F;Go6E6|sT3LfSH`Tf33M>nDM2_E5-5qd*f#30_~ID-TLjU1 zk2MTTdc;%L_g@^P0HBWunX$4$(_t65EWW$3-^ALuI{%It4?BOLAJ3X%FZP^eaL(p) zF_D^aF^gSgWSoUlq$f}g8 z3z+MhI?E(+VhD>lzP%z3B%68;O-#Q7ND%fV2|5nJXR=aBnpvr{pLiDdr)VKnAWQRa z+^SU8wJ<%`&c<}snKs`wBh}orZAur*_W<$WUvWH^`_h26E9M7sMhhDH(sm{+am|7f&~yqp5+=UoLo`pN=ipA>Y_M8MsD$%yCJu(=oowZAZFb z-56t}Ft0W{`u2d{y^E`+F3x@~=nDS5Cs~P{?#=y+x=w{fZrPB=gB^2(`Nge5kx-Uz_Cbog96I}j^i&FA;m%M{*xKmS=vuB>kk2vNt740zLU z<7wwflY(MlJt}u%HpW}Zt3FH!R71)MG-9AqIN^*Nlw3#=mjq2Aas7Ke4E1+~JLX=@ zTruD++=w!~cR+3`p=OzPaX{u$S2W>>L(PGpfJu`eUK|xtR3}x1`bWHb(Gy zVs?MeJcp=IX9oIs?Xqg-zyMqZzM6lp-Rl^#q9#xVEj?@Yhpx}EKH8thEeb_APP#kVy=ctp@^Qck@UdR64!6EHo;#eBEubNpo?WUJG9c-2Qvt|2{b@ z6Tt?}_+a=NpMu*BpZ3c z+kiqU$b^}>i!=etfhd1!RJpBAXAY}uTk!Yp3*UYkmA;qyk{8Zec2z{p9G5N97R3NU5g<>~tj#S%A+(TwCWvOL%vER^$VIY+_j+r354I?4sL zCn?fLi#-nCBoENoFD_#NQ#Rf}0^lkGu;7OQxmMS^ee`M>L@UI|Zv}hgtsyPqOQ0Dk zR6(3c`FN?1KdI8_ru+0ybzhB;ey?rx=^sKHUODMxJxjGFcAjix=btJ*XYJ%$r zl5=Ys_p9_30h{wq3C}>{E@8mJ4#agb7C*ZQw}BZg0p|iuhbE#Lwwg#_5SgF%mZtWuT9CCo4ZhKdVt$qJ`y^Mdtqh~meUCdeRp1>0R9764ZGc4a0-PiH<_W|2 zmV*ODo+`MHoH?7b-5J4hv5u9|-<$HWF&Umlhkx{MLA{Rs{>`1<~yj$q|`^Via zSp=Ot#AoD3xqSDJ=v*!iV;%uetG478ME1#H!%7=3m!+}O0|b~H!5-ktec}1v$kRP&22`3fW&w7MSVyIcV!!Nh8R&=h*%&gq>shk!K4bGPbYSa*^ zAo3!pSHEMa3UkJ>Zj+YMbw3&^O32KVDH%CC5d(}8a8K4ST-h^N zzl%10bjcqOoBqP34igdc&RwzbOZlD?;K8GbBxR#OyUI1KEt;$vq%3i{Dv%MbB=#KT zjl%LoP##ls^+$Z*tgE0C?qE{UM!spRGdxWwsFwgJi107SZSKvJ)8Bw8Gn#*~zXn$irRU!E9lG@a~xLcDZJID=bL`}7TsQIEZnZDQ$%RO9I-m^p|U zqSrzKSxOksMyH=x+YA2e5zVgtEV_`Iv63zE_+R7+I7AK#$$+5`7a45}qn^SW2vr;? zEJpsD^f0taJ5uxkY#uknIV}>u#qiPnCc5SP=&s>symjqE_;&zRc#-v{Wmr#&f{QLT z?l+{4hCVl)g@}N8L-|}b3F=QLdiE$j9_{Z#d7rSmn~)Kye-#2%pQ1{3v!)z#uT02r z^G3n$8&Yv7$sHN)_bn=>cQ~P)=vWn&GP4S;W^EDvz{XF9lH;%$|FlUPKeaAuHohmX zb4O5|aJO^6lgjXXz!~Azs=O(l6-P(5elXc19+tFxWHd z&s!POE`~%kr8`GYcPiiaToMxH0eS%#7gFw7F4)JlJ;U(P{_Z*uUn3+_1dEfvwrOTb zI5(8a!MPr9B~3K9vVb@_IAU6Tq>U)NYuen)HU}8c(q-PtIuPjxaEt4`P}7`0Q3@}1 zpY!NiTb$p>YHYPwxTr`W9Skg76cHemKsH4Ir$o$k=%+@sHLWch=oWu%D?0(~Zyfl4 znL!l=L9Cw3Zv?borQGqKTRlP4#&oLjAci!C?WX7|V^WJP;u^&V0^JtZ4+C_!IId+G zV~x}D5J=2QgW(Oq%(?H;BO0TFiSuPMLun+R8kM}{_1c@+XB;gU%l2%+bXFLal>hY5 zTar$|neL1gGXrvB)KGRs<-mJlkhOiuqaXX~t3}L9U=a)rlD7m1q|ww*10iWPL2E$jK=<#J^&1QR zmO6+BGNSUGgcpT)7Rqh^**JhPK@^oI`Vg;A8H_;a^n;#81I(HS9k#6!6@JFd0K@qD z^{sFqO(8&#vO+vYvrl9oS3jh>CPL5bhQ`G^OWvZ$urQA5asZrs>ilwiWpoZTBz!@+`%^) zTsd0FBA3|O#h~Co_*&a}d!#IjW9ib6&&BP~G`qwuOS7*q*`l@b@x{c(7^x$UkQ{+& z6%@z|t&WjYwtUSY3S5m#^s~}Eu%9H^@zbdMP^52sg=^|SYSRZ`4){WKXtZzvL&T1^Se`$1O#Qi%Xuu7A0wuBTU*JQV9R18Uu$qF@5k zsz1)JcQ%t>u}WMnkiwdeb}NYmsU;CaG5X^*GkfX4IC84tlEo3&3|fO^^L5Q%uhGu7 z=f%O?(}Ybz?GycCo@&xe!aj) zCg&!*E)VwdXnpv&kgn<|{&rCsqJC>#2;&e~4hOOX(t4B4TNUCc^-gA3kk74*%wT5% z?$8qof+rx|WuAapiE1Dofz)GYu}hlNPvxXk6s`dsW}jegshE?=(M>h90kr7qq}daO zF02Kv0FOnm@+lcN5@1`*b?Gv-d9W40T`wZ&%{0;-6H^0RfM#A^#0%UeHK_82QHLA_ z3uG_gF_m8}4IHih{_B$6QW}sZhtojVs7f#j1c@#sZ0ttn#W#E@gBZd5cAS00J9%;yJ;@7iV5VZ-7G zw_&0PyQ0=)I?MYXl_OL%ynur3xKCQsCW2@p1%AX%d{jf)QJF&+!MDULjcac;B~^ED zp=rw=`^?}sMslQI-VjKZ81^=}sWTZJ6rHe4GTxGeGAfW}uqw?w8RoL>MOULLG;lBEJ1kv@ySf%UE)=iob zU-|Ic6$mjv)@e9BWRHDu)xggIr3cSiu<5S11e0lDDWD#r*WNHwObOy}wo^Mglw~Gf z9%R$ba&e3cZ=v)mDM;(@AbPLL+~?lH^NnBRwA^NoHVjrF{zCnfw^aA@hymN^v%FlS z2A#5DJe-Qg|Ej9*1}bR6g0pN^z?v&U?X?jeaBg>dLO2lbv$Td$?JKnD5MIaK zP`Q2cfQP^BiMOb(vOE18P9og^Q?_Y)X-SY)Zz}3SV#cMxj@e!y}@c4=}1#LWyAzqnb?@`ylDCtgMF!Z$8@7T zz~r08w*d#v$kLHfq~Li=hIDp9Qi>RYvOeBjTRuxfOA^v#e9ulpULG>RQt#})*{OYG z;j)jFl_fRsk&ZXcu)Ths-7#sGIJ^A}H6Fi8Pg_dIG^W|gh1yW<+KxU`@XtauH@Dd4 z>=yUg&8G}Y+F>s3-FgDkIG`RMZ<~HlG{hYk2{JG(^OOC~v6~!#n;+WM^!tNI?PIcL4d8LgB1hIm}g0hX`oe%rWuLDXj$d??t80Tt@BWwJE6JgbdiLZaj#o8Q6XQ(gE!;Yn|N0_!wDD zL~O>hL@|4kDE4pgu}u zCqOBg($QA}slb8oi7gW?`sYDBu&N@QT}^dt#;1e;gZdiD!hY@Nxe>4+^89y5_tbinD*OkJ7e0td8g##B|Pf z@5Pts0P~?1>Ra$?A;BEuN37OR*r)W8Vv6_Bo{87@&V<11O?9LZU`8V_p%3827gSZE z3kfU?KkPZiT==3V1fTa$dUFgr=OIUu8{~H$)#r7hs&My1r-_0gGD+`uOaBfub{GgI zGr=icp?J3b8KA~Z>%TXWe4~3|e3$;$W0*-iGAzMm=b--95q$+5E{Nc#-;yzH!9tw} zAHci^+X-d|ZTW9{Q6Ayt2%2kRAtLGoiq(?DY=o-&b9a`BejI zc4mT5M%RGnci~wp!N%-ZCNkut>TB3Z#dMxRC6{m8z4I07V>6d2%RIHws-83AkWl4% zWsIN}B)+-LN3@_aDKEUM&BU&`sfkPdGcP@b1H%X+V)Ha3@3(zM4eYZ`7etMRhlVxJ zFrZicvs^y%=Noo4*IjHbGJ~LIfK$xvg`7vf-y%)O&Crx2)5PlYnA*zA?9yqRa6fUH zY6eEal24yvv9ds$OvwY>OusAPoZ^;+bsM*c;sW)%z&ZZ)Q0&t|h!hBEXehx0rtJay zo%ddI4PFBMbG5EWKY_=zJql0aUIIJ60j>I>(8Z1vV1!B6mP*|8P{HJGdCK%XKjUTq z!K6qG4U&z3J;ua721hu>mnK$3W4698aCJ0dNrub`@7C5?j=_itf{tg`;BQ7%NG79v zv-1e)Z=(Fx5euWS+~1RN#!L}}ynRdh=U|hGA%yxU!FFGV7Nj~9%QqnH5@O7pi7v;4 za1V`}D9ocbEd*)hJ=b7=Ul(DK#Z-$!0pj9z1I3~gP+Ba|BfDb(K%{8~+B^c7uaL1l zK)yoI01yBa96zo`4Js$G{8At^(1XS@tEcZ5SqEF>V)6wVIRxgnszl3*EpcrC(kHO9 zms+2wh0|(`k3tK|-jL&aPwhu`bwvh*BTFmLa(R(q=29a}^zJw%hoxsC;!JWM@;Bhe zR@^I@5OKkEBc0NlruR{-a}lS@Rb_kl72C$Df7btl!$}jaHQ9neHUr5>aM`}K4H<+K za^~PruOXL4VzhT@X!kT{zhN?e6m8e?j zi{7&VV8PY+D!L6)qqTahe7(I#g0CI3D%zNgb8Td#8!l9xo0T<2jHTJ>48fCbuXdPj zg9!}G&swG|I9iA!6t*~8NNEHp-x^K}S^Vg?8#OJo$~QQm|1vYpCUyoQz?=sU_;v|8 zStPa5{SgHdmFudb#D;UBjxZ9h0AfW{NmZyYk$35eq3x2fW%V5H54V3#i5J*?)$Zke za&qr#462cJ;5{D8@9CCpNlI|t(@;Nzy=d+Zp#dgi&8DD&x_M&@Q*vl-ZJwu_oqJ9*w%ICE< zYzz%7r={eV$Z+k#u&c5A+Zy8B^GodOK2?0)!E|pI2MS*Cc`ht?_?~i|_OS9O*`JT4 zgMHWXXJDv@08IwvbDWy^h}{!Z{*G`nqP|hlyG8q z^P&yjDTV7&+=9|YcaKyI8n&6OgppNi9LtEb;vXR(ep(udYF>J;KLQRf5qFl;Yjl0U zzXSDDjM+xDiV9Vh*T2yd25uglL^=r)s@=K46mW)kkJ?hvJV>+$p(vFAMb1a}Sqs|! z?$(z>L(8cyXN3KTF;<)E_k?8fF1I3fAZ=C2f@JdO$Tr6|4OFuPhTX*?8-UZ_5Rsx9 zJTjiYV!ntWTT`qyr{~8|VaSgwI&AG15Ck>{jS|G@);(EQ-ljh`HV+~HX1@#g8i3d= zt#vvts+xOLF_+U+HAKTcNRL6kN!)u}NcoaUOlymycQl)+add^vXFXCcsR59sFtyH( zn+~EMG?3_7wWYA)Ii(q`ua7^6EsIxkGSJiFvJTm)hh$|fT3*Q$GdF$*RR8H&AGsm? zzV^5=B*u?QU&eAPA2v!@IP3!Z6mcd5{{;gNT~VXu-j9hjTH>Z*fd8Y%fJQOA```3t zBY~VcPj~Z{#pcDONp1Tv#r1mPzrAQlgZpUTH3gGXT@K61bXEp;NMXCbVX-w&6aI2o zk;EBr-w*8iCBZZ(Db;n@r=c!o0P?n@ETXF64OKx`XA3pPF#l651l>ix0!+;b^6@e( z-+Yp)zqUs;vjH57U94L0;pdTEKd0KG27Pcwg!yj1$gOaeR0R*<)D>SEFDtxZI`n8C zyo$yhbKSd{#Ion(Ep{Fzr_kNV}ubwcI8L zR}^e&e+Fpz__1DMxdS^z$n~w#*LhdCfy67q_UVZnGim?VbAH{F!*X&BjDFQ_b&UMw zl7mfH&(pkqmK6KQIac};JS)iAenPAO&o`Tm+lXnhNTOsP_x!i4z?Km;Ae12W_ydPG zJ<}}0bXElX7_RQgpC4`UiMl1NYFirNUx-i16}1KK^1}Fnt5QoskJ+XtPuqIeax^6s zjv0+|*@7k7e$HCAtAKi~t}�T6l?hd0C15F-mqn!v}K2VY+h^a31d2(xyt?DnmeL( zTb;S4eYtn<_1_`5LBn9h=wnJKV1yU0S}w%7H`~WA_cD7;RM}XkZ}0B3J0vykteW!F z8*9ZG55-vx#aUu1=88)kWAst6S7D=2z{Kpgt+pXu6Q6Ps_=sdxkKYlVvihgk-@e|Z zWLcEGWYtly&PUgKyvI)a2nn@8_OS-Fs7>BKG2i4m?VX;NBrLz;g%}OOk7hYV*tPj| z^kLWChab)%0rg>Dwn@IU#}SQOT-40m|GCTT8-E$d5R_I`t(1oeqbV(@nK3H(#^HI= zr%Vp_bZoN{ns-&elTN9PNjJZz6S3ZuQ1kY`bpD2MaTU_F|Jz5ebv{^wFYj3d5&DV{ zPiXm^8A99~euB*N?tilYk~Ut{hR~=|kc^-1GdR|NIy1p(7>w!46OQgGp2D3q&8|ig zLh7DQ9_t$hpL`oPGKC$Hf?uyssi~^`HBC!Mn+u}FANmv9ZB{$hdYe3Ee0%ZjF@H@3 zit0TCs^1B(TkjA~{a&vv_1DbU)F7=r=H8XBI8-~^AD0I0{{)rbM0nmM#$YJS=e8y^ z+U!#MZ;CySg%hF=Csui%-Lh2tEF(jKg}F|Xt*>vux1E;|Be^X{4asPB={jki=%vcX z#^BcIp>UsXtu_;9HLm>HvXD-?hqg4xgo%45^+nJOHBKfl<=a}TMt7pgnlJv9wIgwJ zl@%&ay^OnvrX7k_*C>CK6M~~hm=9StOaMNl_thXWVOQO?6l)+NKhGEyt9tYh3e{4< zSv#_~%UzqlxBA~tyD+`KNTeg=7fz1#`IX3elPnbtE$k}6D@IO zKkCp_5?bI@)_0i`BbSgrf1JWP8e)d<1T;asCfRl5%J*H`2W0Dlw6$7c-v5~)dOk+Eg1=Pt_&@oAL@kr9*Y zn$XY`HccsU52hPyoDS*WXn`HODg2eFB6nGoqBc?$%JP)-Y%q7Pz9;y6{-|P8$nd8L zbXxC_X=0@|xtj*xijg2K(V*KP1K8=Kh!%km(@#DV`xH;!P~j;ldPwrG+2u{RHmxnt zHtj9QVkP6aS>#9`G*TK(FBF&C&p(P07-XgMQkOMI8|4bXx{7`fmz1sUK*Jhvf*rd4 zWm(GfK!Sx`>QJJ2PD*HYGGF)7(g5rRTXh6^U}gaVI>ZBFILP5_2tA7PO)BKnvY+G& zXYTs(gOSN;L~=Y$(`oG3_cW>OeH!bw)m}4;D%~Hy9eE2R`*%XWcKqGYRTl*_VVwGgb!pR3osa-&_s?G_NvH>$oGO2e z8pQsQTNDww4736~9|C`~VF{qpMImAH5$|ZF*mTJsWPi7d;X!VT95fJ&y!J+&ZJw~& zq)e}zzzmG)>qY>-Pe&?k%VI^Lev6ji|r)Au(_z$V-x_nOPeG?dT{u(YBm&k4u=Bx#66Joj3{p-W9&OuaQFh*aKRMPq5 z>dL&^JxMXs4B4d7aGHjCgnJT0-*D4aOj7JdZ-fixMoWBB)OrC=dt~wB6xEjbeOTB0 z-uSKTw00r;t2*`{nWB1?KH|=}Zk2Kx>1WWw!xA#4z@|+m<3t&7;D=zYQ`YR;P=ild zcPQ>sOTo~xSt2t#zKSKEm^S>ms7iJ>Q)<#LtFQ8911ElTw$JX?g>O5SCWc)b7$-$Z zUm0&Y7kGEo2{&d^d2H8-1tbM{AM1>lrEiO>>(N8L9g8X$@!PQu&u#EsE*%`ckI=A) z(`R-w6VTmwa;twKc0k}K-W@*J(Ur@Vzf-@4PDDKXBoMO_fBIFTt_IhW9G@ER><(S@ zSto)%PWQ&-p;`!-?dYukU@C;*=??u}K?~XQg#?4cnztQ``SdR?-qInt5JLaP;tn~q z2$)zzRkEC1yzaf5@Q0i2w-c@moNy0R5@!ker;@b0jVHM>N6D}KeQEkBv@ckD@Ez2D ztVB+v!Sq<;ooBq?Sxu5Kb?Z{(o#P|xC= z&X+87`H|vZCosa4B&UW)FIS$E>G`Xca{bOixembNUT`NQ~hN^R;uA zD3nV9<+h|O?P7CjDFTM=!)qx*Z`ud`6)GYKEtGx+@Kt!2jslL9*kbxu_XrOv0+Xv` zPu>giKlF5vhT&ht)Uc7%G98D-+da4WKG)Zi^@UJkPb420A!xC;bPu6WXq$$2p`m#W z4vz?ukb~+8@q%mW8tON?Q|R_aF#=hXaI8|~b3y$TJK@hOHH5*|hqRc!62hHTI;nVs z;AEIyq;#&p!)ERV0WzdC8%YUCi6KhX5tasr;wzGnCx{~-r`Q!;^Y)P7hG(AfWZ(&R zW#HWRaUl$&VI>7nYBU&1oF2yHf|#jc?`Wu9QD^4<6@6)bNIE$9%=f7Nb;+M%musad zVw2O^O@Q%%8?-?u<^I$cz?<38B;(fAsQ!JF$#^@dB$mC-V0Ym<4a){TLM&ZJ_XK_bXMg6Jb}1ep&c+Ln!Y&a*XTNwlPBHDF>)a?_uU!DbEN5>>>0X zS8L{7*P+Nn5&D~s&CA5()Y7glx15=~g3r_=o=Y8)YAjjkABOAGT!?lU-s&1kgwGhZ z-RKK;g=H7{g!LC0op2Lq_#n$cwUrYYStsF#-@*-J98Z4P3}7;ZE2iAInnrcOb_1U6 z4>!?aUjp7rL@1wG)8Kikbc3alB%W%b%s^{*E{PxxvH34z3BlyrZoOM3awS>#iieri z2t>%SlM|P{dDPOi7U&i^0^y1wl0>j%+3F`7{!`6bsD}lK@ty!4*|tz|G=ErbvhHu} zJMKrt(AC5V`3YO-J6X2$+9AYW)B2-G7j7efx*t98(UUKn422)&8jok!!1LuPrAKys zJ!PuU%JMr;^0rhj;*@D}DVUYecbZ#1{v*=#5W1{|<)|tn ziTazyzJAZ&j}IGfi`sG~jXqj9ROA?du)`#HLd*qmB4q`W!r%Rols{#Dy&0Hq-lLJm zgB?R+|Jaa~L3ykv;NBrYnYsIM21mZ8CLmNvW^2Z&IFH`EF{&$IpBBTH6y@A*%j`;d z7J!O`Y%+TppZ`Ae#ZrEZ&v9}}p8l&sb>nS{y=#;l_c8E}D~~+T`J;U{ZFTm0#yy2s zR160tsBUBkW}BfS=2zf7pG4w=GG;D9ScxL4LL6+b4CG1Rk+NUU56oVBNXu20QRvTG zkQDx2x@nZy2^wo+&|ot9ByE?XF* zeDVSko9Y(s(j%#&`o~4?+T=?%-(KnE^fzR*dTg?bD~-`VkE+#FxcIrpPgj7T3r5^* z;mR?o>TDa99EIl~q~|a-ZIyTugCZ?Bj500T2r0g;wQ!KIY+l>|TgSQx0I*DS?;&R% z7e~GoTlh>E!D^-3(qkD{*jb{w^NnE@1)&8F(GH1PmW}M^{DT8wofIVJ9MR7pag0QU zs(0i_;ej%J`Wsv$EYvXQTS_(lkrQJ$bW+JU6{8qm6@uEtLGwz9e}vie2TU`sOT*q_ z)Bj3%2_;4R zTqh#@#tc1l|HHl8HL=d7D$FOT;aD*?mg?gc!D4Qu@zuzA(UWy|Y0*P@NP>`CS`AG( zN+y|F)sAbO3X}mML>e;`yelI=NsYgXp85CT5h{v;K5pe6JON;B>BhQ(RVVuVQr>Gg z_O4wqsmp&69M6rJ*`4riTQF`Hb;xXOOGxonLF&aHcrbY8$yoYiDWvKD9Le zDyD>PM=3R5i<>MUk_f8mv5YPGp42u{_+z5m(7FzL%iqTchTFMlb_lEfVcl!GHeFD4 zgDYO49bMv;VjBySWXLEbx|Z<=&2docj&(jLl$a%GyUt<|f}qCkUF>gmRTLCkbz`eY za)c!dD1+efOee`v?k$eLa`{v#iZ%J^zhHW?QVjAB4?? zKJqI(YYa40&rRXrqsbcZrg>pK4DOOX-5=5)^8BmwG?3_lo#<3b^YQqzO-WL$Dc!k1 zY5~*V^F{9Oauu{T%C-IDM6L{0t>x;qvv@;?P4|39zu_K zKv)d?Qcae2=Ln6JPAht^at-M=h6As<@gQ%X??xU%-$gr z`yM~9(arBLLg2BV*i>F&8s2@}r&RS;))jD=%l^T8ET}<&KXJ})i#yIV^7T=ssDx6K zQr%btOiN3vW}7-@dQE)5QJsKFmle3jYf;hv5yDQ(U5y$klP{_cTDS9Hml0Ks?h^*y zNtspS_k1|B|HITG-a6M&!v89kc$|*+yycS_=VHXVs+n0ui{5}~k6X*wQav>Rmm93tSbH|0p~O@XVu(qOreXslIfz4*A?+SL z$3MpFpnMH4UOJz+bAfeCmJ`Ox4*@#{i{|;-ujIyN7h}&c4K;cB)IOClDU8cmF`^@8 z`s8j85>1~N#MS*E=cwASWKH?@5X0GmRe$y5(qmGO3%yh!v_skpR%eI9!VWZdGhyAP z1|HV>nS!{#BS|AuL$)5({=0bOVf{+q2F;fOocV%pk0^gUu2;7Bpe_&x{GB)6nupZ^ zl(xoBw?_CR#poexd=l?~2$}`amxHDQnW(=nN_e+XE?sQ%`2GZG1ifv6D|&s)$WBZ) z%2s{kW)2oL%@i~r8h}4s?8dXQ@QYV>q$LEU1laL<4Mme!&o*HYSNdrTszlAO&e^kU zZczNfsKvpoAdmE0HL;Q{CA`OIbk93~?s1}*Du!OO@Ahk{9Zb+KsT$ololiW`e`+lJ z(Od5{YnK@?{t4rwqVC|`-CE_U-AC=5Dxx4pDt*CUcn3D z=r2A9$$A4t7*3o6gP3e~KZH_UDOh9K?xo01#UOwtK;|i5N%4gT3UN=SH4zzmz!n`dExh0X*mYlR>!H(Aw)MI|n03X^@%}i{u?SCO%<I!`W8FFd)xGed6qJ-lKrUhnS;<&0gLXc>Dg!I&=zp#i^aDl`GL~HGFmx28ykAGXhD`i|1zfgVO!8>5^p z&ebr%5z;o&yOGnwomB%LUA-cZHZyv0BEuY?02&jf=`-WQlN@P527|q=LX-pDhgxN=HsY-_^JK`-X zTe}tM_52vjD10>PjHm*OMdh>cvdPjDZ`_(p^&VAx(6CTP$i86td_e3|U?mZ&?pO|h z)HwO`f7KGap99aCXO=O~7URiI(CW6yTR3njwF0ZMWav5WN%}s)g0A{9J^=%}C53C% z1#w<)e_$ds^(<53gU|MqKde|4H}LOOCla7j^<)Yl^UK5+J^?LT{A1l$;#4i!*kqv9?*^G8=+mS5`x zexKKwd-sy6YLP)6>u_nCYnkfuollbFOA{kUvJdRMUj<1cT7QUe-7~>i0Z1P@h3Uy* z-|gL9Zcy$y7tK)|a5aq_3`Hb!a#B|Hx{p5CXPfAglQ*xRf1+>3V*{}ySJNM%F4a^Z zC?EoSvo#T(+&jF`nOH2-{3}Qtx}l|Pk)^FS+N#=7^QLR-IadAO0_yc?MRz+#8tv?ln@h$Oz9~?Nd9icIwaw9KvKyR-8(zV_*aj( zADj$!fTrzP?lwbO$u4M|_R!HVoa;q~LvwhY{i#IPhn!omSIaBO!^R*sQtPN_Ypbg) zadRJ(-L!_Hf(A)o?AURaBmgH41iHp|r1EM~YfQP~Gs%&-RJb^)(Ot2WBTV~M^n@Fi zmiL4gJ-VoS|6#~2oG|$C$oNqmLRAGJSklQ0jekzD(lJL>)WSMyi3E?NVS$!;Nlg3r zMJH^+YJ&%S#7@nPU*?Bi$rUIcC+b1>rW$ScsM8=h6(g2+6`bafb8 zN_YF-1CzqGoG=7voVW)U(Jd@(lbK35hv_Gk%Zdy3tXSyk{UbR)WPf)@kZi%7ROZ$P z`$T8v-1rOPBrdRYcjC}ZdMc5FiifWcsC*=9kIV$yF1aPakOtg$^x}6!Z8tq~xxB-k zpzI@239P0uA$1WvF|F+Wp<2$M#~XHwTRk;2N~8=$0_?%r^l~fvg|0sylwufQs)j!B zix5q%%gPa0i8gPKsy*rbVzCCv{%X(ijuloBBC+vqY3I_cPJ^0uB|>bCIY1{-x(ksq zxIOn@(2|}Y|6Vw4xj^VXvVju`M@K>|AhJy(1PRi0E`T8Bn5jP_;gLbEf#Q4X29hc) z=-oc!LX{R_t%vrLr z{iz>ML5_?KQlX7^)sFZWk&K54zlH8N{aIE@f_(Z~P14^pm1fy+pitD@is5>4qW&9) z^7W35SXL%hcSWDm;`FQY#J@DJMo|v3UpQ=&Lx){-oBCGYTC6P=Li(lkvrV3ccCD3F zw{NlLSJ#%3J>D!28{x{{D@%MnG0dt{WF-m*L)_J)*Gv)B z@grh+-R%_@_+4yWEIeYgG&8TE6Pq5}>d9Qye$_|PU#0x@GXybsL>N4FNM~6@sr z{C0>O*>F+0CP4U3|s(h__W(TdaGL5N!fIA^8BEXXoZ2 zcZ}a>7jX;CKq=kIK)KW2|K3)>|DxVP)b}jRo<#(ms}oVStz1h#q5Hd^Jd9d7R9Axj zsL<_>2vHD(pT9uQ`PwY1j1zC8|1W@B*_?cGIHajqevNwMJCQ^gkc*ni>s@eQ12bl8 zRrld_5!>xPEA*$};MRF~!%2zc;}+iO`H9GY0M)$(`$z+e?}+Co^JF_nvwSooCNO{2nK{e$nfr|I_2)Z5=uJ zt5*c8+RJwa&2T#_7}wsw<&VerLA~DFmAO_cmwAfWLyUHWZN8kGRDsx$Y^IS5x|)kQ zV=F4E1NGmo9sW^97Bn?95TAU>8hbhwn$h@RPwVc5Iz!qtScGzxSghQVw3w`N!T27N zeuIENCa{JT3u;?k4c(!URloFkQPe9fD3lG-242|lS&|~L9CJxvLO0+8)g}VrU6SxX zFTBcPq*bb;?Pr%VwFtjBd=G&WxW5ZC{37<0R>4%jcuC)RAm(XkxFGfDB~+ ztt73-?8q3BUuV|Ygp_W8E*U^rX8 zqeL?HN$gudBI;tXInJcJ+e`iKdvE6b-$y8py<}ZwG7ti=+)Ht}fEFx3Iyi8pEbsDzpU|Y(nf)QO7%s(lE7GIo1tI8p|+IW+IY7jfAJdadSjBbAR`@2gGkq#f|SF-j@>CWF@1VCzaWs2e@oyNx`D639H zdb%)Dgn6ibL-g!=rJ~h}r@qRKz_kARO84V`Bt*>1TAh!(#LNO;9Q#5UYE9I&_Mo&Q z-sM4tm?acwxeaUQm2H<~pXM(4S5|^_GYiG7|7LKdO4JRi-ge+n+ODIVl(6sMVUZpb zXO69mFD&A|>4U!CrH`gaDL)XnYG4Q;(Yy9%SsCt>mu=@t%}){k@!_xg6z~{$^8^X< zQMu$@8}gwRaSJea}g6pLQHe~)mYF3dmcthsvnn3|8NtE0gWW8_0Jv$ z_HHGpt1(tTAs5uss8KHvK(?F(kBDtQHzNt_e>?LnM%}K#fCE&z%rya{Erf-Bgur2L z#&{^r~<~G7j_{^Zq_U_)-LJ*)&~o18P82R)A(A>k8?|oAplqJ z`Z@5pi_A}H1*&fujay_L-q&Pf*tjUSoTPxv;TM$L$kINOA=2j#W4}tcf@Ee*;T$FV z{)8$vpGY8^eSZB?C>d@LtxH+&ZJ-H0>Me_0%HC17$3vf<3QiDN``Cu?5%pa4{^tS% zl5A7VK39|jRqn{@8w@>Y?+3Bc8VlCcFN3NZmzo}GJsgThXjssdct2NKiLC#I4dSD& z)%?D`>7m^0<;(Ywomn4cJv{+_W8>n6QpVaKErV1q+Z2d)ARo}Yi9)qw5V5YgeLpjj zD-xT66#>9Y9;PlY-vzCaX>#P9HEIBs$AoSEky`G;SYgN zJFVL)Xiz;D3~wQySOq8wMQQl6nY0s(v41$WjHkW@N5toht33P+?`@j%_g8^9lT^`r z;cn%NI(=oFxzzdbs8FqcNSM{k`Op!)gA(~!_ktSF5Sz*bL^XpJyiC70hKx;8A&DW! zgfFJ8+P)iI9hCFs|A+;>X_eV>b_umx09K(tny;^;!!p};dvNfqLvH<(dQA?&ryl8;C_cY>dL_97KL5%P!?v}2Cy3gtYk%EglL<4Ce>3X>4H(kuWCu8ex51>_6c1`KG0RoX(y5sT~W8lt@>@ z37$fYB|V;B_mX zv*pILPk($c6vq7VE|yDSdh>3V1pXg<%LPz2CGQL7`yX29sm0f-+hp1vbT665wj}&0 zdiQY$OJ|=s?1mL1(YQYSF+*zwGk6>HohHke?x-Q@vyh&zY~tI~%lDMXmpM=0KQ{Wg zwYP)1?lRXesDFTV_evNdN)_o}6F1)}I=+vw+s+KuxYt^GT}1afhzo)N^drE`^_ccB z_E!Dj$jg(Tl*omqGJS6EcLydfjdLwKz~TuK#;w6a{)c-%9}DNFSd182t2* z1djU5p-Lm$I#U)g+<=lNk08dXK#!0|Qzn*(XpNDdTScGk-?lEock>_R& zO%f!5j_vc#8aMw_Un(9)>uUODhTpHr!(x@bZ7}xam&thT<>8^&-5#n2vf-hG)2~gR z=_BL7G^i~ByexwUiVE3$=&8D#g^9l0f8(K14|chhMetDkj|x>FA{apL2c4X&-qv+@ zXUw6cH82Un4Qqt+YP8{BaCIl?*y5v*WYmM~9Mcv>(t@JL#SXE&nDBs@Yo^a0AS~!% z8zy-MCDTkHomoWgw?#bSpHo(9#-DB`Y7r!;3UV6X{;J*ss`U`CBvGZgJ{p@#(-d)EmRW5VKW7d7| zs&>FdOj4as^^;J8O$ldrVtP~R|H8!4$(5{1xQdbs2dU26c5&+`)MvqKmfl!Udx^$? z3vD&9Y8%WYo);VcHn9cgQbz@H1paS?LXsdm{a;KSG*$6@SXtj4md+-jqjAy9EQ}>= zN76L@dApr$p1GMRLQ=7!h;<{wpY4AmgHUkgV=i_rV*+kRS7D>OOdvSf-8A}l51?n@ zi_L_`o{2ZL4MPL{E{SZ z_>I+zx_^vT+gSz(Ro|TefxDTB?g^Xuyrr^hI!$jC-?l`id@H2C#!oi;VFhR!5upcI zV!2XXcXKsYAcoru$(De>33w>bICWhGPn&4N_z$hrgpLiXWnH`7+JJrPod1ngt)N+ApgM<`}nrsdNwC+grLEjnD#%4rQ@la7>OZ5=m z89Pw(@R`OGL-ndcJwzMx4}dHfMlPNH9cbWOLnuk~6-;?YF2$2)fMeXS^ek%rZx{iT z;GTyZKPI7f20#Y_wyEz!PYx=fV-iF&i+>7t)1Oh z;P?)z&aU7|j-zDeOHVhxhj9Ut)&oDSXUlvXO4B)?9pSriu>?@>x6hlx1*>!W%<77x zo+0&{xwPG#cPAT}AkrO)^BpSM6iAZS)vjD1^Ctz-bD6qI2FAa*6|#Mb!%Kjba2bK! z2zbB;2SZ?pCakzoO$3=Ja0=|bsD!|c5eEQeVq0Sf?rEgBNN8g=Kh=^*1Q`2RP|BR6 zR`*B9P84!3<&OXXjU1^}mF-MmQA&GIeX97~tb>XTU@H_`Yp$1j3p_eiyiI{z$T^5* z!h(`gk z;pkO%0<&zX899mP${|k^CZs@_2^OtIpg}5K6)RO|umd4GsFsT9hucxf$I4QAv}Ihk zH6ngkfrNF$z9bvVS!Y&;v!*JxARB)H;}ilD^!MyU5fge3ge(f;=iFMJf!QtC+6rzS zfOmN)kckgo+-RCI3zDC;n3%=B6Kjo?;YecQvcXKBF@s7(neP9fP%stFT%&>tDo}Sb zk~TjavaZ_|xDuZfnmklvKwlG`eZosaV@QKaiNwNfU>0iT)X-$aPHY@m)jkhUHL3 zQO-{Np(gMeVv*_}bqB@vcOU}smGB7hHG(Zy>9!saDwxDDyvpomFp3=M*^$;EO<}TC zsYa45jY+L-2QdhbsdSr-XUwi~AL9l6+22(#F~{%^kYoz4%B9L6;s%wzw-O(uG@Cx1 zSQ{>~GW&<$X}pY%uw5B|FM4A^zz$09HmGb@yNYARn>AUC#5+0b2`>1Xu$uhMW}XEx z7_iBGc&y|80Rq2%2YqS+B1NuKz%sdLB&f55O6%}Ys#s0I66gSLI+pp-?Gs81r$E$f zLkv}z8D3J82BPjhXy#N**yvIHVPvhyj#p(jAfqtTkzH*jj`|aiEAXAzR_dBzON>0M zPbIX4iKXgBhyqFIt{dR*?^#`gXSuu3w_Er-qk_;rt1n>a;l8Ee@uk@~#>tl`G2;Js zD?xj=t@Z!2g%uLkPmJE^bbZ-`m}CT!qv6-d_6pTOaQo(0?T@yidL z6%4<=OZqFWlU5-599(3`&v$X~+1BM?fTkI9IUI3`Ky~k`2;C|UfS`SHxe}gh)F8YNb zAHnx@i&;f`QIkZ@QQ&O4rIZGR3h@VcI^ukt;Vnn!a6I7mZFSLP(GQyVCNZJ;^!e{4 ztP}T=Dxml%$0dEbkBH%}g-ZW72lBxAY%P{ybxqb7fUvQ&*X#*=v0HnoZNv#Y(`zdf z#kU_@2)vHagX~jU#BpD%8PJ$QYYSHXzwhdG|6SL~q-i=06{hWqDyE)dDzeDG%Oh$s z0aNx3$Q!#6kp>w!D=C#~Kq#N!@aHBSh+5AgMA4jCz!VvfE;$RNN~0CHCO&J@rS{<})tp9fZQqzI62 zQ}0H8P87CuyDPrc%t<{-$=h%4ffc@n8)g9iE{_FW7NMF=KTr&vr_=;zrfex0TM?nt zgdP0;OZ_)0ys9lJnEdasyvnt(Sg@U3k+L_GBq^8~1o2JLLcjoL=B;`i{gDnE&7B zWxy=40<-tLCkvGy;iEq48kN+xVsHh$ z&X%)(EKKH2$6r#V_)IFhH?$xtJ|lv8J87y-6$4PdW)SmB!K)fAZLaMk;TI`eqw;wI zTo0rEBo&u`VE`&yA1>>1fxZ2E&VGdWzy@!1X_WuNr@QP_x-tN2@1qg6lgP}E&jxbA z6>V`t?Jx-v>)Nw%Hwwo4+UVD;;op<8FI3!5fhSduivWO$iM`6OOizK-xxKb1$0^2y z`Z=LRkHYzDclo_uXC|~ze!V$@`WGtZTm!Jv~a_VMxhL`v9LIuJ{OIhV1II30buI?7CUY*Wi;{EMLNT2c_cNJj6 zWe0TukhDOv@hbV2@H0DMoq)uz3_2i|+4E|98khcGzt4EhP~QceZ~dmpmU@iyfh$-I z$)qcS;j&niBR*Dt=nOPD)SZzg#N=Vnf0suB3rd?@*)iKWTJ)h54X}r%WYAfn@HV$c zxYPIAYw;(Vvx=t0$Uek|K@_rw)tIr<^E-mf^FGo&+L_aBF9IbzL|f+FLz%-mTfaI9 z1pgiK&yzNZDEk5L;co|op$H$=|=MLVRTV(c>;2TYTo;yem|kqd;GGk`K2)bop4K3FrbG~*9&ulAMI|@^Y3S;B9C;M*y3{r}pla1+Y<(l0X_}!mEDwaI1Z_ z5K0hF%KD(U?KEuZJ4b0E%W2{{EWsfiXPU@g=q7?090`COJI8vt4GLuUfBiV^8skOg zz^kgbs4ZI!Euxwm0OIIiK^3Zg$+>hJn9pbu41(MH6s`5SgliVb$DP4$e#z~MWwwZ#N@jGIA{`@;% z@y&3RvaCv3hHVPOCkWP@OkapX85_1o6bW z-Tgn0S7O;Ya+e7wYO9?+x$qXLD#v?EmwE}H5x6L1L*s|f_X82Em{BVLLW;c8M&xRb z0}A88>jXM);o53WpKsO~k;X^Veu-@*2e0qThufFvQl)>lj4Joz!BIyc%QGyfTT|bu z?Aobz=g=)%g?t8$AKY47T;W>i5_Z}t5#BcYxU?DPWG*!tsL%dxSGF~j9HL_vQMKo@ zQ35&6GKYNw!>X!?=WB#sc>%oQmY<}PD^A_)&R*GA-EniQdT}-@FV@;Bk|PNz2aRm);yTpfP`o?KW+bZA3=Vl^Xwq@SB?1hszrC#vZQ#v`3r`5+_}Q;FKA;;S0HhT-&?69H z_}(~9Gt1u|dL>Wus*M<}WSNUXNBdXR@v^nMfj&Vh$#lomL5pXW-&*xapkfNZ9jWT3 zn^JZ&CRlnd8#N9s#+F_t-}lSF$x}7ge70N{L4{ad{%jpPP?P#!``h7LeRHeP7a6N@ z5beg$+w22035D~}HtJQi>)qPKu8S#IU?fHXsBKGMT$w9+KLC{XdxX!+(xY=H!y(QQ z66A0%Uj!ZsE~n)Skll68Sr)V|H^~2GNpL(!8DJaPzl+LuJH473k3-|WDjjVr4zKcT zncxEP0AQA^VOaI~vzq22C!9%m=PTVu^p0k9MTgv$Mr!_a9NK#HWB?`FaG{UxueX0G zi!gD0j6Rd}o}1PwE1vg{1v316Tm9q>&=I@K3p@=iT)}Hn$cTWgIFv*Xh};v~w#&RT zQ?7nfc9%1uhDKwCqT~Ejuj$oMmRedu&72}zA6`@v+T)|JYYS0u%`Z}M-+)G%u48zE z=rWW!{O**@<)AjJ9zX`l&USo*DyJtWza}G9Ok2NY1PYl6??i|A!mk2~DYdykhEgte z-o;CJ#DG6>4Jc(^$w0qT?N+tvoCJc=bE=#Ys>m@`j3MFST(n6g9S}bg6p?C6MfPDg6E-wSpu}J*qj(%kNye0 zcQ@s7D$xcDS7{i}^~8+F9(#@xTX3N768`Kt*zc~1lb-ii!bRumz{e~mFv0$bZT|gf z>4{{=R5BNO1Vr9penZ)_?+tuy_N+j~TTSVyJ+3W6kc {g}v3yPwdjATs(K$pPfq zt(o{&D77_)`iO7k?m#a1CJqqInRLhf<5OkuwX5(d$9~eD9UGWjkc}BGWrn>}o;}VD zknZr^Q)|y3ZP|piduBhBdBY4wfIw;(5<ZML0C-@)bd1KNykGdv(nR5Vy7ksj_@iIq8k*+f9jeu1NR|^UT|+`8BRxdmEF)EdN6W~h>5Y^MWWs>MwW8w zXP?R%Q$1Ap>2B2jf(bbENYU?&RTvrgu{98n{lY++&-D2KI$O=HsCx61uB3c)(7Bc9dCHGl!UWF+W{4 zFhsw8YQ&fJq?YB`G}HlyM*z>};#x7|`8&xL*823;2MV;BT{b}Xvx4VjKM}gby42!- zfvXl8$VA2Npw5Fx_K4mwKcnkNPRxFBSFOo*a{eOJS7{)hF zHRkiDCIw;$4Y3;kc%cUOH?~>diI|8FAK&mULvo|HTr_;T*bSQPGRR7;P5#HNmw>{6 z!LL{}O`J^ZE!)x7SheBBg^74Ty0137~2^ zf6_iB>wJaHb1y)N3AffTgJ(eBg@9~Jsm28g*v$r^N?5eA^XcJkSFXAU!DZUq2u07- z7#>dSV_74LncB)$6HI0@K=kditXowEpT=;Z@dNGpC?L<`G>13|ZDiRug~@rnS{M&5 zfh6Fk)!&f67O7}8##BwZmk=Sn^V=BX8y6$#E{8t`&A-6cK*i7Rb3&7cKc#UF{5#e* zMsR_v!wfz};JF$lch|@YGr+QM$6flfW8Gv@kqxtZBwLX+P^czHJl_LO}B zaAtr1Sr$Pp&up7DGI5MjtWNAPXKC;tvgn(c3sVRCY~i~u+ttkAdu9`^`{(x_s(+Tn zH~4NPF|Lwes$|8`Kh{#=Cd zUs_Ecvxg!qn-pkPL#d0HK>=$f?&9Hse6$jXGpa!qN{6e%YI6rBkzJrP6PP@#T9Niv zNY{M?_#F=i3O#PbYh-cX@%+_613cUe5HBj3Ere`KkGALnB0)3y&%6 zgO2leY*1pNI2t|lQrT)8v%pnA16HF|ECJ$7*ch|?$k9<|j2TcRsgh;xD0K_l$*av! zJ3BTa_!HWQD)bCH%YGu&=6<4Ezg-SIQ$WR*2~qRAIy7PSAhOqYw_0_ZC28Pk^X1`II;OJPZN=OB>J^fgoO-|kt-XVq8p z#?r@o#E-SIu|7}7r_p~ZZzYSp;W8cfZ2x2Hw>nd&)grCj+(k?EM7Ab$Qt5v!1*C@r zn8wJaF0?}Hx(PYmcbuq6wMAUbtur%Pm_@~<@s?#jJ9zZ8m8g!o4x#V*o`A}^C28i- zb}Wn%t=cnLw=45ix^HMJx_OVc;t@x+JY92-3_71QkJ2hA5b?^^BCcWk!%Jo6ow znWf&Vxsh@_L-0SH)ve1@yHLBIjmoC`hkdX~*=*QhlOfk5wZ7h)(5~()I!`s=k!3GQ z$?)=7nBc`%JDgmx$H&|wHBIp_L8qn%3L~TyE3)BxTPEaT@8v`Dm?Elo>Aj)>C&oHaFP9x#|toEug>Y5+@Yps6nNUdFEp*CTe~ES?K| zP3xW3-2enB-TDd8OAr!bps1N#{cq|j~p`1Jv<^6$lYj$R~9(VrI;0ROGvAt{UL34hvf8 zzK~qlQZ?33O6l~5W%o%c0wIXIGgF^Ve|_wg*$UC{jP#o9T6*W-eW37dkmhJMm{T2I zuz$N_Bz-d=3UnggvpZg?4cYLh@(l`1zNay+>+3w1{^ZE9o|1MBOZ}0D8_HX~okVCy zNiVdM`lSH3>u}BUGbvyAjSHZU`D$D1H}%Q0Z#b-r%a%@?)sF%%w9_`jt~JjG7wumR zI4ukH&c=_ie4m*JGt5eY&Gn!7p3ToWI(}Ay1qwg68|~J4Q@(um=GQuloSKf7k#Zc$ zl)I+6^v}l~8!P^zM3((@;+A^CCixT-2I`xecMdTYn2uC_uFSGUs~L&XM+EhSW|d~B zp-1ugeLFU7w|0j7Ua!pgpPWb4gZ$L3(xbbkN_1dXW?pA0(bKAX^lxPTudtGbRVzZc zv7qQggnAO0HgrBhb&V8G@18b#*mTc*$x-8jk zjSo$Z*DR}El~wQ$;4zG|71)FyT#8xAZK{h zL{`#r77nATrFo+F+xe2fGW%>VO=Gh{CVnBVkeY6rewpp;v1;-UhT}@u$5AUxb7334 zKRpXFxPHcSqw}L%EtbfrdA56)I5@mZXWQu(J1r`HBeSCdt*7SY`5A3aMFCT_%IP!% zqB*Ny->7)&HmAE-1Werp{Mk|fMAJBtH5n3n{cPYlRYHc_Zh!c+r+O{Yax)0#fRpZ( z%0o#hwa(n6uF!$G`$-?4f?R+4w!p&5?~f#hf*j>32sAYBr!|wkMDB&b zgEM-Q3_^Dr7-qK?pYlA#+_=pX(-O8TWY`W%-_~RAh+kn(=AXav)(Lrr7dN1(8h8_X z4)ZY)`|a}Q`}j1b8o{JN*!t}aJQpP`FQs<-{0dg*y0auF0cGwfnF0(aBxskm z<6;t&0qV~#VK6F<%qo*)>3I5Av@l7nY#UEDDN|DJuh=yau?tXd5?iG;<~jbuo|;$5 zs6&(Dp#SGv!MKNLGuT_95O}G%=y(=gsDQ+Rr*EgNGjk~wP#a1DHOV6py^Ho5z_Q?2`{olF0W8C=N&AY0TYhyw1uSPZj>?K^f`SZ8IU|rmPua z(`UmVq5jOX?RiIO$KLLQqKhpsWLqty0(9_1<<~O`av=_*k&11_dOYA;I-K>ff_D;O`$&WEz!^f+MUp>pW6QY%LmSy zcZ}>aU6X~r3|9heiH+ytn8FjOhAC8;eKWAC##_vE%V2IzsZEKt?CTyHo)SwX{$E!| zG?lJOM8ANE6;t%0d>})D(B|0FY-eaXi!FalKTDoUy1|nwUrf+2Fs-as`t2f6`k?~t z@SwQSn<(z`xrA)yG+UiQpHd)SpfW$qLVY(4_iOcu@PDUQfDHmHV3BY^A=%xcJn_n! zT6o!zEuh9Kdol-Va@1b|p(n1)j+=RFQMObDqQWprFq-ptbI2XVmuMpN%&GA=*(#Zo zkN=lxrEh;S=JGgoo21vdW)O(Hh0sI?YgH|ibc`qBaVWS@_KTV_S2Qmnihj@FXlv>^ zvc+m2KWp(AX*+xrz-8@=6|)e9V79b$+c0Cq!3J^NU8jS=dM%9<4&?$;5qJ$psrA&_ zl8tbLs9Sbw{LqiENGz!>A3k6@x&S7~FI`1=XZDkU8+|q6zUAWYo$p?(rV@-4YdiZZ zc@5hoVtKC}I$G#fb9&zU&X6S7SW0U8x<;E^w%wIX z%~EqC$bc{Ry&^SJ+NL+T52v({LI#ir0E$L5m2U1@K_S~CIwR?N&%yiYmix%z(NG>)Q>U>B2wM7#8Z&@rp}Gp|Fk)MOc=v`uiZ~DagdQ2j|RI( zc$T7G5G_-A;7VQ8R@Fut-cU<60RrfPP+LVN6&47j0vPbA03u^wAgdNcpE zjr;bJ8A8XITQ|QOiMI?u8bm<=SuVG=rwTOe6M^0O^IR`D?v&q`!>eo)g8MekFkq7z z*Ti9#iFhoG9Y@0@zJpVn4VYDHH`sa&Ow;}HC#h=E64$Z<>^t2clE{2<^Thp|d0t1l zN-te{K;kP%dj7(vE+_a*@}`8Ex6^Kpgr77wrbEVy(s}|>vS245uMcMDFdFeH`WZrw z7R`u>Ju3lkmHk!UszxuTUyCFRp7{IH=i#2Ss=FSCruUPod7yVlW%TGKTjQx;<2%X$ zCb!LM(kqeWeI{_6{jgiWS`2g{<|;|uR)?2nm3uRhy-OCA;Z+(r#?S9-jr|9-c{nB% zWwOTK^SRGyoT$eEfd0a)>vbAArmZ_wz{Z|GJ%Eg$t6H`2YEFOd1zH&B{8Vo)C+A0Ijp_<}bbwFyW>Y#ob$P*>xiB^ybCdSKHBUi%dZpDJ>QDzZ_6R zFJ75mzbBjss0?1I2dM|Ib`tP~GF>an4=D|sk^dbYy&QEJ^9 zr;#MG_3xw=U{OX-{7k>W^^!$haGhl}=oVLiX=ceqSfKu~I1I0Yo#!V`W^BfTf@wv7 zjO9HdZ_=_l7Wo%rxMyUZ`G2=?oZev)FXPWmR`2HT%iKr?U;HM*saFocCQX|lSHut7 zJ7re`v%g_B85-`q{=h!hdzGhhH{#|h72n1{#nY(H#3#0X@0NT7kvCWAVa`+9BN<6; zOy5ak+cBA||Ft0U?kTxwN4lE>j@B6)ELc@^0DZfH@P1zxuf_9Y8mx-Hw5|-b$sE4E z{t_y`zLGdPHYd2geY7?*LF>734XpvCh7X(RS(Auesm$s|AinlcVZC!_|ZiCl~q zKsoj}KjPn{!;O_a)`uo>u{gnY(yKHy>NlcPe^|DxS>)R@Ye{ZM!temEj{l9|GTQ9p zH8en5ZjQ2mQ0Wt8BQ++qqSyde$95jw1Uo5F^)B;ra@3?`I`m-5ck|j@$Usu~>4!el zqLu<8nz#f_^QNkA6>JzUiJArXY z?1>!}ojKDl$(3XDH?_d=1X%hPL)#g1NlgdLDp2N6DXlfj%?s+7Rl| z{38zH$Zd^1bmReGjVAb8y}lG#+hvewM zRMkP`Z)p;ISoi+UE-svJo6`b*gN}5D40>KR!okH+qUXJpI|R^rK2_P;RTGr;ygesS zoTQ8Wo1iS;=f`4#HWA|MOiSg9n}Ko*g|YS%Zk=&7J}~3OYlTq>@`hN;?#8cmiJu9l z4O?k)KUyJ107*T%pOa~O7%y{rQw^$yRnx2$9w>Baemy)V#JY@gA?4GP+*QB4UkErS zBf{T@0QH0bEmzEL%OW{F)5R-c`Kefb=NaO*HbTGUgQmg1l@c|_k~z24-8Sqw5kq^5 zLpyYw6cW@_sp-^WFu1yJ-)U{1MwizAM%hziLa!N*{#f75UfhM>+@1Hz?Hw>!6Te%i zbs*Nw6JHKqzrEU5^Y{OHC235|&BIgexvH8c7s5a#V5R)><>T48xzzOZ)gAB6k?uGO z9(@CYuw>r7=#j@wWB1R&Z_h?B1!DQiruNkE{d$G{s7`vQ;R>aJKR^a7g zAL2t_$tOGMMlVV9+pronSdl*!4t(`hQXO?w{jzhs&@|y=tJwQJkJEr3cEfAuC2%nD z#hzFkqQ-hX-kyLi7X|!84N!uWVC|GXM*(3r=FMEvR4$+$VtwBWX`k|&v{{^9H1ro$ zv1uVWI06vz3K2F%zuCCkVi3XTr@2V)$AoTYJ7)A`fS(;=sIaVU1j zmDZV#4SPH2M=lzTxxoz)hKXcy*-}nx@kCFaWr00mg7sS59PQSjDiX(ix6ZNnt3)td z=Cp7rGO0qejP(sPcsWtmxavYhE7g}C=9{|&cVlUvDXDr}uS)lEAyMXWuKtwY*!Hn9 zZfA?4U{hmEN1WtlBS7itOiZO^iV~Q6MO+ULqFD)1hg`vi*$E`pp>+P#0=ftpma;8gh&rVceiv5rL=T6yodYw{;uo&3(m0FD?YK- z#-sT%aEw|T*}(DT3r6DjU4joF4I1JUSneI|$=fPp+Kg!lo7E`GCd3YicF7uf%RI`7 z0V5WBHc)vmRZVOGstjcWkWG3B5py2TiyiN;9oIy#*3B73>PdcItF~Jf61iG(o^N)qj2wKAW?^A*y|gVB4!3U?Wx8Ks*N3e|8sFz* z4xWvR$L8nLUAZz)_hizj*m>yV%B_DO!V$j=eOd*U3KFD)YeIlEX2p2#H0HIg>J8s$ z)&wUL7tss8p8s0(=M8(XHSFXkCbCZFPkX>!9u{y+!|y~F>@_*`In;qZ*lXrO%fn)o zM_|E&1S8Nd(Ry2{G3Nw7j2CzU<580m;9=&qiXkO7vTAqlMtBfLBtClqbPt*E`8}a*ML3BIcJamAtHd+A~Q%pSQ?ttNEcotx@(W$5Ef#0bYl$K9Xj_al*5aQ|P zyap}6*&+4b(WhN6QpQGQO-*Q6Nl@^yuB#cpRBzrHjR9vH8Sg~9$wq7^`X1QsA$5Wx z7#zfP8hYH*-M$p?Wv+GI$GAqe->Im|FA-0rM&jx_irE4ns(ii)Dyt3lB!07V_wyer^A)`#Cev=19&hqf7>4{@&EDYP)R)PbyGL4oY&O+JnWRt zQrTqicz%p#mPRPr zV-4hyN-6Z+z~g-DoBVyT;O1{)-=Uw4XZUo?^e=1$W(DHnRhTSWLQIjQs)nts!EW2_ z#ogv~O%&nQyUy>0estZif57Tn<$vI`xAnK<0>E2#xwk3s*ApW2}=z)g%H#k$O?h_oI@;jv* z;{kJ$n2N0AjS&!;;G!&m#tZx|FM+IV{B%2KNFjC_AG>z+^mw#9H|OoJ)`4)pkn@ms zcLMUi?!FH9zec-qWut_Wn4api-)j9bZugVvZaZqbJC1$2jvae4q!*G5@lixE#e1uf z*JLeRe(Fw^1DhIR?#c1ds0o3{x~o^F#9*Nmd5&|uYJ`fQ4UZD6TR$RnC*iz9vc{@V z^k!cNAR^f>FxqZVTRG4%ngI(=qn%Xjpv3G0(R-lQkc)658C!i!yDUd>pVub>(=7xC zqU@5Qq~!uCGA5#7{u$(CmB0f-Y54J}YP^5I2d^1!@T`y-%?)o>|#zHV*00Z;lZdxQT+q$5C(@;8K53 z2*VF%&qzH=`9`>cpPe8&{W-MteP{2>mt6yfh$W}mD$Cm3yz}puq*uSWeRCMoICD95 z76$5y%o2sDWqe~n-XOXmJT7&kKmV73d29Qz%^9hg?grlF?dFa+H>rL_JbjHW*?3K;d@trEL9<+~r*fAg~0YZAi!J?Y#1@i%J)by8g@ z;d)XSYp}Hsd$|A{CVk*qv}yBBcfn{G$@dvK_q`0Xb)+X|$H|5VZ@Y=doVg}{Pi!W+ z8od!nD7wyK76b9N1p8uVOstTzVI_)v6HuY}Sj;Qwf^p1UtNX<}9D@eO{Po`c4p(4{ z+j&NSQ3-o-Gu97L=RbSOa%MV|ZduFUh9NU7!&zU2xBOl#1d1>)8ez=Cad?7#CKm%m z{!lN3+BOW=C3{Pa2DBBUhky|CJR)I~vQ!39RS;plsI|m@#heCxVH9=Th-DmF`_M^<*Zj*SeT{D#fI?y1Pxco(<{%D>EwtTmiYy?T4j z?4?4zuD&y>DgdXFN~)9q`mR}&F+lqrO^6X>M77a3M#28uXYCQAI9`s96)N#T9?30d z`EyNBYoHl1NQin=VX*IX*InRlWJyrk_aWW?%!#7cWJ5q7JWe9)TSa7MOi{KP8ysz4 zkk@?q(^i9K3%bS6(q7MSc3ce}v%m4}Or;3N4>$<{sFOml=-+Ht7) zOYglA<$3+uUO|l(P6U)6vUsmw68y38J+OE;!;2Nw8_`+l12I+SB90FRuYQA}Hx9w% z2Na>o8yg#RurZVi>i^VNI*LI5n^gbKbY9yf4WCU`ft*so|ld?}>!t`!iqkjI&@)kqOzTh+=)a^H!CGGzN%2m`pM8!z-`Wa>{1c}j!{ zq1>u#CCR?@@G$Q2T@Vo;sYSkZUjGQ}l{CHSn6iHN1LzNjov?*DKbcqn=Z}dOCW>;Z3?fWI`h= zp^DkkWAgnATNHQmaAx1gYWQExX`XzW7nCdvao$0Uc;+Qf&n< z`K`Mw4M|{UgVaiKz;v@iqw|yEc4w|GVJOPiPAAPOuu(QWDuG(QICDAs_qBYK#wg6< zjrRAKDT|*vuS(m#i6OTvne}H|WkeW0t4{vjtN#O9CgDI_Z*MA>|9*k>39VxBfq7Z zZjLl_w_9QSEs9c|{os@dT^e+TQTLHF&!O2KfaP43Uy%uOu3N$F-d!4yy#k*+h!tLJ z(G+lkb{}pOb}i^yPiqMVz5IV3JV1qmb{Nz z550pa2cBkP#co-sJU8&J=x=UrJpP0dQ)Iw>dA{KQBNu-XNr$cryWf;kelMuKRbTa{ z@?I4VH#)o0B@Vr~aLKFPtl?fldwcC;Qwxt& zvAf$7mvmQvkh>&1_St)Ma0&!?qk&ana!s858x*HFfF>77Q7#lt>~`4E>HI~Dkgx9y zlKM?WU7=^`TqUWT0GHhs$tdFE-JCXBu#&9d1*eejIAe1$@F-nyRx)A4p^9fMN!rj2!nahg(b zy|ZAt+e1C5P10B9|64izh{bSKOj}$$ePg)j7JmJ{#{I(G#D7M3-rtnDX3E*|E)(=w zau8n!w{KMlLQ?I$6S>g-@cuH&<-Px1uv+4yBp$j{#}?L2w+Rf-Q_`oV=n@tD)2H`U zsOr~@AO(P6c@;G1;rpP-a-+p7&GpqlFcoEg!=RPF%sR2)<1_{@5= zTLk2`ZxZilXkeTDVwc?0(+01F+uRO5nOhp=NL&NhlTK!-``|~ak(8YshjE{bzP^5B zIF%QR)i2FcjhbNWFL%T3_sZbaw&jPRSpR!7HiL%WzLctHZ_p!;7YhFjn*Kgc(x%Wl zd?(VY_-g&k{pr#a+M2^or!8x0#66G1p9;WoZlzv{ADwT?*-;bcT&f`bi*D1sx^>vv zci+!`JTLH%qDJHsAL70us5|N(?`~dIc#&SR`=OexOjq~Vd(@NII8o|W=$+yS- z61mW5-_(iaIcp-*yLcf+BuCMcvAX^Ec+dczn=RVb&vdo*(e=vj#Y&u}8VjS>9bM`) z{GzL_zaVXPI&BM#E;xE`%(N|)U{Fw)Sz?v3EpLrb`MmnmQDLO=acwciIk z5-LRBht`I97b>_K#6d~M$f`s}$_G)YrpRRUt8{J~&h|eAmA^Lrft-zuA|KFj}5Pli(t{FbcGU)sseH^@hkX0_= zwEJSE@fy`e_-7_TxHF8al0@Y#36YyNP5bc2b`N6*rS`9vsJ?8#Vdo?sp`0ww1jvab2bF zs4s+?Lfnr+*loXKqCnp9`q*^9eS0h`((`P~bSzU)ElsH!4-KB}@fQOMg9-URZZM1Q z&UcQBKZ(p%8pmE#nrNV&Yf3PuxH1r!?Et zV@!;1+iyngn~WPTX7z)On*AI4Iv*eIPSVDG`W~jKpH8TSEm)TMMbI>h&XRSE9Jxf@ z_DO&rupV);HJ%d-fE3f2pIW$B74E_gYcKd9iyJ1iXVa6Dh=Qpjv1_b9WHz5h_7;%G zx3j%*o?$eI=-?`lORZsp^zGTrK{8ltMlgRq!QLv^Wg$VJ6jdF8!iSvCcJ2NrNHZ$yf|ZH1WgTPG;tx*CbpI^%hR6 zk@SqLU*?FcUPTjbC3bq%l`*63>lowz)N$rar7D>WlpAy=>G&JLSK7x(g;t)l`ItIE z^&6MP0{!|Dk5yG(#b3wI;5hkXIR$gE3$V+NPgLTk_D`a(B?DiDAWV!|9s|yr>f~kO zVaM4?9#0o}lwQA0rO$zRH{Bc81yGH14yBXI_J`mD`dD-^^VuP-{+xGHX=vBh_AJT^ zu{}*@=p=|JG!pPYn`v4{D}8BU8MusM28yCL>fo&vQj=Ze)r4Wea{g#g;lTtSrchQu z+^2p)BcxLJ=ew5T1vWZUVEr^ULRtvIRyi=){NTgu+EY<=Q_%1qRz@!!Ft!|l@zZ_~eMU1o1$Vu*ABh|KN=3Zxt^&JZ3 zSGUN?SBw5(5`uC8m#DGmqUoc7t%@t(IgC}(*a|Gi9U^)d85O0Lg*HjDmY=K^GI%VM zmA*AkRFu>0DIS>Ut3k$1h8w=e<8NEf38<|%M6Gixy|d$kTs^TJ;CSNAH}GmPu|04L z^dU!HZK1SB{3SZPz=VbE!*3m|_4qGAte*O@tqkJA{Wk=Cx{m_NOY_2UH20RilS*8sXqVEHSg-cKGb-5R7oGoh1)sFUpO?ow(dSg zt+9nSTBTSe%P?pH<&VoW({S?Xaztm?v-RGBGeRPvM#t(sHYA8)0krSkaCPhLvNFB? zmB!-)L(hg-D`ie6l4zyF2By@-DFq*8}Ymq_f=o!4q+@L z!zbWpB}H1%tnb|ZjrVtqab2+H;&PV4ssp`@ zW%-~E-`(sC^Q!9xLnIyl-$SuT_qrXDZ2vmB9A4N4>!1}sd_hkVLbjrws5VZ0q@h+J zV=GM~-x$DQ9>T~PPa&JJ*{n%+nLRIwY_R^j7wq%+z8#jGhZ0?Cl5=jXD#clUU7_A_;0$q6NVBfxBrX^7 zsk}scEfkdG({D|FZJKb_G3cB!^t+OI@LpWOG`S3U?B+UM^Yy&nFE-{@S%&OjxC{(S z!Sr4sP>^EVJ9Aazv;bw>6AEdg`dcf(Xy7wY1@?T;Ncgu~m#ELPOE$j7f-zZhkc{r>K+bE8R?? zFFCp5NY&>^#Nd0lh@)A&;o3wA8}~kW2%bJ;-tqDabr+-;R+VEXd5syQAYG1_GchPS z27=8jalTcT_MKj@0~2VjhF@1lc_uzzeJ;d_{ZJSw6d}&bD6D!ih3332q(@A3mhqY zlAosH|9D{c5!Ej_MMhDJXUlRc(}(n8Y3=?bfgG1Ir&0J!3d(EFKXCeUEWq93yWXHt zBmA{N_8vt|>^}Yek}lX(VyN>?p<8ZsCN{1b$7vznW>rOWg zLwktKX2VSfo0&$bijhJPB+#lDUOyF>Dbq#7il0`aPh|YVirud4$?Tc?`C5zM?=Uq>^T}5j8g*3d zBoCtIJW(m>_5NiUXJ)K~sdeu1qrU!{B31!JJ$QYSg2_5@ zY(iQY(@@c`Xnbn0*>awSj$i}Ce|HI5-=m{CZ_6?iT3lho+lPx)+qSbsz8z0e;{8H24g7Ya8@~|3u;wG{&)?g58SqR#R>{E^ zWwsQ)vzi*@ZR_4!_Bmpl#Zd&W2`#>bHQgDzou zJI9}@6iJhq4$R2JBsY{RLmxu>jVR(vnRdBTe3iu5Byu^>imDv~yqf`J7b}}|JZ8Ge zRQhHkQGH2QXKqkEN5C=P!2jVQ{tXi5{1&%nb;L{9GV-8W@syhIsH~vva#J1roAbZv zQjVbX3Z(qZm3+KyE~3WOk%$kQTyiE`%!4a$5Ku!);7ur&Ixt@ELH`f-I zhB-G7V+)1z!UGJT3`BNp^MnuZJB#By?%1V%Xf|efSfo0jh^k6k)YdFcR1-cH z2n^rwR5B=Lek6N6k3i+sg-ISHLg@v4-F{U2p)KpG`o0DXb>7NrZ~a8chS3RAD;bAb z8M8R5m+y&vw*xYk1qdN#citIdRx)KNIY~7k7piC|p1wTE7bXNrhUr7~+NRyc>h%`o zth2_go@>izc?mfBzc`(buQJzfoW;h@XcSR{&ksl!=U~cv0$&DkOVH7+yo0xA z%rNK4sE+ynknnmJVNr^YNtzW_bv=Yxz121NF*M1?ttiAW<3z1(Jx`Wm-bC%YkW$KE+_~;rSsOH` zWllKfy4ZV4RP4>Cq&&8|thfLHz(RreC>$jMT2*t1+DPo;GFl`9d$u$9W~->*DQY^+ z$_OER)-^aT|EZa*q}gm_SW0Cq>QvF7r2CEwhC!!0l^J8_tuRlX&?r!mJAGEdmF3Jj zT})X3nR3GrN}SdEucTuIo`$^ux336QTMVZ(4j4S1iJgt`G}4*+o=?b6LanD1>SQB{ z2A}my1u8i9<5l}p@~1i**`bnvkc$EOSgySYOPa#n4T3HSZKsSX=B{vztY@hXLe&mU+?<+oMs-7pk#A&Z&_kD`27%Eikq%=M8mqIujgrxrE zF7qsb!6Fv>MacKtQ>g6eZj`&Z^*^75c58LP%A@4TD$5V0g##9C(I;n3pdxahonMfB z0So==hU&R`Y304ScmJZ(Nx@eX9$v_vcQASRO{iZYiER#lj=mDU?yK9^@|<2-$Pi60 z1Kom-1hxaNU;Od+dGQ)N&FO5hG%cHuP~GdA&xYIWw@T{saXEz@9t>g@hJ9)FGm9Kp zk^ESd;<~V_=g<{wk2rzAg;n!@hv`^htYm$?%5y>&Kio{pOe&$GNO&spXlDoH5VC&A zVv)6e(Z#%%bsbjVJf6a80$n?D&kqdc{(%~7%w>u^NlmkQUh^aEaHX@wax;4{Xy*KY z(r(x>1?K%}yCw3GKI@ApEboUOLrY|)yd#^GVh-ME&G=Cb!!c=e=1oPRc}1#NIVe7{ z`H44z%Xs|HUi;oHM#y z?ytd1&nR($tIvkB+a$=EaDm0w%b;3yGVCdA1nFE6`Zasm9fFAK{cG~T0eyxi3YXuK zr$AeF22FeB-80|g~FUj;V0zt*jgZAwY z+J{Yh6$%TYS4;HFnGRA6>L?5h(C&}{bM{YA6Fw%4C?l`k9}3F=6|Z!Au}3_3_wtd6 zM=Is%YOyl1-8$WTTiy{#aQ_l+f5jQOA=z{bUwtGRyc1_`-DG~VS+B}+`wiUz@MuLt z(Smg6Dhv(%rb{$VEBzl>oesaTR>Tc+G_xhl4gH%b+l=BF`z;H^TBsc9@OAsZz}Ycc zw%6~kl1z%G)Mz1GsxMjhCc5rROlX3!1#&~DOWJI0`9vLlbgKx@xR7EYpw)PBjbI3& z{cK}1YnPifl+InEeNj9w|6$dkOr4yOH?h{s_zfkQOZ=PUvZgOTvSd(&_8EW7?)FSw zCJF7`K_;kjAv;jwPg2{3Bu!#|pU%sD#Jo$uOX+k-P1&sdE<##1eRGn|6{5u+Lc=O# zKrr1%y|@eoSdEyJMLVEyCI2BysTGB(!%+si>-874Z?-+K85cvx3SCpu-T|m8pFVfh z6au==UN_v9R}_dBAf7(!NZy;;=(aB&sH{zq719)pATi{niZ3XW9a0L$CwleE^Fd}8 z^R2GL%XN9Qu?w09Ps+3V0EDl59w7??&jCcnRV_w>=#7uCy0y0AHG<%cBwPSdJ?%RW zAmmf+8_76mvMH>(_y25aUd7@1Px0VqGXRV9s?4IS)TKyroV18z!-jZX!IeTgKE-VsbXC=Kh$Hep2_teOP)k7bdTChkDn)GH+B;3Zb$)imf~M zP=7&hTU;BseRn*3aPC>T*{Hwu3_F-uE-+>Ee|ep#0A4I#$81hzrfpKS{R>` ziWuUe_WSMTii1FLwZ9%;d$>j>O1?nG6OuEChcZVA7=8Pj5QPE{-!V)$-a4m z0w;Q0eR?o1M4ssJx;msBybGxUoI4j8oJTEZYJeHp_xAkjhA)c$2axbSSG$0Xk^E$rTO`dax9{z4 z@nnexy`?lG*Jesw#3IUHBK-VlO7H#Zc-t;mQdH)>blO{sZ@~NQyzzha?OS=J_Pqeo z!eV0}KHeF4!b~e$!7M&8FsQ`Fs|rxBb9OW#huEL9R$CnhCOw=K(m+<@zcwYnGEY_GoM@!UPLq?Gya5+I7Y2`nzKv<^ za(NE}?@((ES^eUM&7WmFPUf&LW@Wm&yO-H=ww!;57hjfW_=D z!wD!}9wr0zyjs>HpwSNPOcWU6Dag@0nXL3DB_z->XM51qa-@G}N|#k*LD9!Cdd5Qd zOX~oO7rnttiv?G=!PhQK(4_LecO*XfChHM{iv76sl1l$gw)bJ9$N}BAT`_qz!rXvd zlzbwB2(^9+XRKOJb4PSjBs82P0Q)rZnRUK+wd!{Vsn=o_?i#Qae>hL1`9?nF|9D0% zc>Y^D4LkX`i~^uD;+?m%+>ICzNe6;4i8)-hKkt&~chbJ0NW|-kkReT>0RP1kSPMA> z3GL>tzerRQQV1#bJ&*Gr>Bd5h&Vx9w;wUumW3SJM8x?2YwG$4t<;Moh;~; zbTY~*D>VAtt}YqLN16%z@B3jcY5%n% zPUy#ma*;mUrOr!1H`E|Mj}C)4YAOM0gS1QzGv@JBV@r<2>8SE}wL|RBxqGQb?v zsn>Tyw(XTU?3lf+YzUe=EkN5R>o;HQ!$YtABGY9qD^D|WXw{wwl!dIw3%~_@3flQsXhH_!d6@^?Yj!wJxPaIe5%}OpS!&8 zl{bOMQ0S$>WB}QKaZ3A;2|5><40rr31h`}YnFQ7B z|F;W3=iM7s^u5*gb{aY@KkLi=g+>@#&+JzkF78%<8wd)pFwBV%cn@_3oVzwGjX zBR_2w_c4r!QHtczZLh>OVjye)jKY}X(F>vS%_l*3qj7qbG$wMUqE}~=Tvk+{OTlFl zP*_ydblMFPH=qJ)i%&*6w^^8h=Vo%ekQ{oXga+&t4&Mpk?~6{!;zyDWNk#??(>UkU zU-5XIFHby`xl5Mny7J!PcS|64^Vp3qGIUPK`FTXVbd$h+_3M^eqmzqdlO|b)Q)rl` z4hj3>eV?sBK2l3k7)!Ms>>!HyXUi)^>QSa@Hn zz=dZ)wU8>aHukf#CSw4oRnxs7k4tD=!RusVC*K1&^Pm&Sg7ncsV_dvnI>W&~6w8UK z`E+ddZeSov3(~^M+NgvJSJ5Za8#NmYL+S>(?L_|ac=e)odV-I&flF+;T zzv-63kG^d7&-Ekr#VQ0gA_95A(68)e)W@BeLL$yx=^9h*A$t0Ip`tCdP5f5IJNE!> zTOx@>+$1|hgyD?D*x|9TpN!3Hx#|RM@vo?>xX=GMJrneg49IVJcu+!EnPf%*MA7`+ zRihr)H`00_j&`!i)z&iW{&uf&6Ug?1TH5nb>bH|2Tsdq+vwV*$G>G%3o5Rc2lyxut zbJT9{CAk#;XeYH!)QdIAd0aO>3yd3h77arNiWJ91L(-QD7xl#}&-c{Rsj zg?q!9iN@bg&o+Hc&h)pww=RwUewNV{Q+w^uBBam+n0hNS$>ErZrS}l!Co-uz73;&m zue-yrorMNWRh~glptyhBkOYU>TPc!wmh}WAQL!*_^yy$3tT!i-(UOdy3Y_B1dY5t$ zVe?FLd-xbr))IV!OPq{Ec&^N_)x>+?Rwusd}5Otl+UH{xgJ#A;r>42aoM812@G(S^poiDi93@}O6X$IDK;Odx`Pl$A~ca;U-biexZITZ(yB*MfLL#C=Ni%co9=_J09 zbld9wMc%geV`l7`_}GO<^rKZLh^ET*cf8e=&vF*@2@64*=Cj!g6i5t=zl!Hpn#ors zhLF!YEGk2MJg-50)8s6_2l;DRJjs0g&sQ%OvJm9-NHZ9O>FH0GCI(E-_2bdyK9l%< zTAZDblj=&jL9;J9pm>H{p|Ujetg1y7B%JMRRP1K}l^Jith#cvnPyHtbc5%fDPW;g( z*00-Cz=oM8W_*wM9!C@&UpNa*XLiW{1c>bZD-%`q+Zb%Z-P<(76b)tTn7qmD`$#3j`ccC z&k3Ejq(G!kCB$=itg|eh6HW(ii50rY=>YxdAajlk6**kGufM3dU6z{Y^m!^xzI-h4i(>@1u5nbPZfb@!tZ#iV)w_=oqX{s-Ql2A%h7aha;<;mw9PKN_+M*^?%b9f`v-lmmWk`I zGhe(u1VBy9G`Ey4^0%7G>tIn)^o?BHU^&sX9<&!&?`U`Li@R}7hjX?EmjWnY4xUO3 zpGo5AxYxpu~5cUu6Zaxi%Nhs1(y|W1P;o9WYYw)YspKBwSGmaN$bo zs`TXJcd+-B!xiA0U17mBUzPo_vaPG&c7FyQ)RGdLvN`Jr{#Ac_j*XHvfXgk+`weKe zl;V|@1r?BlS;v)ec~&$1|LVdxO^3U_^3Lt?cHqEXW3D=unIB})QXWem`i5~{?Ja8( zg|?>pLX9N0wYI;`yDB1A0y=7<>-eC_oIP4~O=QL`cb4MmGZ8;%hY!e2mHHNVYb#sK zzKQm|23~G?=h@WQ4k)pT^FCM6nBZP{VPWB|@6FpApW7swpT8~9jAh|cld&(gd1$5& zQ$H%Fe~gV~(+*hi%>DY)-qIkCAdHq$R0t>jUbtKtmP2yeA~}lHzIuI{o4XNO z{h*W?TT~2LpfMhOeBYMCPZu#V`*CdFwe;N1Gh(%H^SM}pXx7@-N2E{J_=RFJxGX2p z`qU}ptxNYLwy#8C-IsM6^izHkr@vQQ6}Iv>S}+oX`iMVmH+0*FAAHCM{Z509y?s_U zfl45Q3|ukBRAWESjfrYedOA0DqZVC`hP5CC!TbPPvZNd$4g(e%9PVXunGvatUw;ep zak~-{6H$6zGl4bG-!2fSi_lX090#)6%~$2oxBs!1)0m=kU!t8)kH;`)iOc_%a7rJ7 zP4-SBeizPTJk76KYdwZyATT*fZa^w8`ZRV}RENNRI};-x#BY%n1mV z-}O#5&(PxAmx=P4|3~o#Ncdf{v^(Df79VKnwg!!b8=6@>R|9X{<5lMkJycRY(Da$) z$iunM`#q8Hn!4Q#MqU9T{6R^&A+)Vbz$K8cW$jQ`FO(@ z!xx?KJ>8HVpD8lv#XZ5WCJ`!J+K+QeM-82>wisD#!NYnkHxW)%V_PdG8FKka*1Ac> zxB!yp7gu#!_0|{L^~vz!tci-QoI@>*vzw{?P1$6MQY_KKMpQPja%+#=um2>COD@F6 z=9m`$of}dY)ziNMZ^Qvx?2py9LnH_~18D4PT)zm0Cwt!BNoclmH5EKSMmQ-T<7(n} z!GGik;9}|EKsG79aEn}OI{}<2#uX7JLQdcN##Y_%8EVMw8YFcF3)b!XYAl8e<)XVW~4H^O;?+{`m3ApNZ0yJHMkEd9eDe**m0TX23E$?n>>q_j~AN%W;?K7h?*Ewp$# zSV>@arzCi4ReYyKzsf0i#5jcwQwJQ^TQ+$b*NslE_<7)HQHtR<0Mt_%aKT6ujM8dO z;Awtzc~NMAi~Y;9Ri^Zl;1x|W(nke>UTC3obb=bsthAv~C0Y$dk5iS>V9bqY%75rg zG_s@6V%>bFP=|q+M=xfFOG547QK$5kas7N&?gLv%p4G+YYCMz~y-X2Khy7NjNd9}K zJN|=Rx*XmLJqO*1pj+_vGYjrRk2}ioYP%G(MyJ;rUcn1sg1@wD?PnvlrQ3nO9~x;+ z)9+=o63%3mjB;A6%L*Y&bi&-LSc|Iigw-Q#{M*wXniqM0DnAyD!yXfW81 z9k2?h%=0dOyaz)?r-a4;Q1e;RWcx_i;-P2;0S}y{VkD+ETUd!MCh{@9sP5BHC*)2T zQM0>{srsGP;off|qVwE|f4!$MVKWO!brbAy_uyIFQoUAKB!_=bn@;WVf4e~o^4 zz*9C4Xs|mc=f;dBs^C2l(?nRsxJdSkrW7c7-0fP6f^rNqbh@b`5_aAY3|U|K?Rt84 zoB7;A0?GU%au^mVox1pg%f^Z1W79^0GMz^5Gs0}#Owp&?_O<8;K){=Pg)TK8R0E`a zzd8lK{rT#~#qN}t2I>zQ7^eTH%twz3;7=O5FTWb3*VK(9VyC;wXE|mz@g8PWPLbj0 zCrSb={Ur>~>ibL0s)vne{uPq1h+(&0!wNZZ?)C`rb9~_WwE_DUPFM(oAXXbl=K6D& zVBGv#ZB$BC-InlC3xVLn|EYlor+^BAa)FJvgZnjR5ZzQJKT{Fs{#bXK)^i7eKI_J1 zTH`Ou87R|iq00mw2Z6(eK_5~EU?+O|B}L&v3+!@sl=g9q>-o0%)A z${AjiK?o?!G49}O`1pu&+f1jlKMdAPi%PvUFrtr@;ckhM~jt1B;-n%OuQ-fptkAo2zwyoNx z&l>Jsd?~l%ntT^Ul$JUF!@xBD$k%oSM60d}5D=6-j}rqwzH5yptI?^^hu1cYJ~S`u zR0a#4okg!l&SMUrW%qcOde2U0-M?0gxPX~pUd2U6vX`4}zil#Zwe7$IS%tQhF<-Vn zo0xX>KL9IH0o&#-D5%#)!4-dRSP~MG)K(5k)pmswFDal@<{g-u=CO=;W3G}A5sZBj z)w_iJ)*CzYO@mg{+nd^3Up)Vf$au%A{#&#U(&H270z-3xM_m^p+x4M7x^wAS#O2vlE4Mq5doY=5y3&dYAXIr{MD7iDH~M88^&R6js(FdOuyRUvDtJk;AF7 zvZ_WfM~6=ggYPfa*|w@b5l= z{vH1zA|x!rN@a&UKZ-kW4K3eT_fwEy9*>ZhmKti+G5J9($=+kcX zx=L94=^0Q@l_r5z7NXyKTXq5nzxJ9#W} zVMrQywR%q)>9GFugJu0^5iG;Fwl`XfyjEZ$Fp}PD5(z$RbQAVHX4H@vakNqju%=Bv zv5U|IjpAeemgEVU6drTCe9ThAs0XFF#buGybs~7T2`d3kuNO zZMeVjC0fG6gvEb7%pHiNH$*5UpBnEy0vN*>~yB>Yh_)XJH}Bji!e+@VsBgI;KGZ1N-q>M+89-q5tHou?Tkq}(RaX9p@s^zXYK9O) zz{0H)RKd8d&NjF0k;UoAnRN5|*GQ$ACy*@wX7??k`;udL!1+2eZk1b-Yu`6`DTR3BXxaz z5M7NIb&wY@3s>>cn*|%tqCo|v#`Xmj{xR|`A-Ti!|GTgME9x12hneBt9JZ*MKNx$-cXncyw(%YZzwa^KHzn`eU7)#PT4TG8&yVD z{>iTTvw!>lBkL=}s@m3YX%@XeN~K#$K8G9G9#z@*5;$V9Oh-a&C%+C#C*QyM z)i9Fpip5_!q&ZUXW`FLztj#nyY9`{oE42E_<}s~dfT)) z4sdA&!y@;ZX# z#dQO-Gesw>tz>9py)uPOo5cegGY%9K2|DMG+z z*Vwl`Ue0pyaLJyXCTp|Dt{5UgRbLrsFIM#P6K_BNdU|}3Jvy0#@7QO}{<<26B?&Ki zDPA~*aa4K{Am-!SgGf(@%eT$6c`^~FEHrlPB5?Iyc&1Z0=XgHhkqb6+>Wv@c(N*?J z79~=xMuY(URy9TCsNJT=JEL&#jl00LsaNpb7PgKrHxoxgsp9cW8Yst$GgR*fg!ivh9u6|_WcYN{@*YTU*uJ>%&fC~qXtKj$i zYbgXL_KXuU>?TpsmDv|V=xSa3nMte@aTC{e+agvO$82(gy?iPiUvZj}()-n}*4^3Y z*Ij#PH?KdQN+zemRlq80sD-5i{Vu{Tk{#*}6vL!nLu0l3#hwKJL^C4%(lX^%)Pp-*L8t?`~^&SRShn0)l;!ye^J+}x08(;&=u4d zNxy2!w_s>47goWb*<{qLeBJlKdX5u?nF8tVJqBchYhys;X~fuW6*;AO6b6-7hPlob ze*(K~^Vj)_jw2=@$o_php-~8bx*4-P9Vz_r$s|Z0NlLN2kddgZ23jKHke5O(g03Lk#Ls0jUM9hdJ~Eyy9^hz~yvYj? z>Ld4yrC=v%&ExHj8%aFjRftPdguoqpG%06$9Ux&>se{RuA@)@7KhmGs&hFiJ-I8K(pePb!|rbmZD$ zh2C9CaZIvb6;a6}1ki0NDsJ)py=}$pj%&RF{&l^0qKwqr#uz5wP{EZ5+l8j@w=JEy zg0?tQ&A*LDzPj4n6Z9vWpo}yW_VBhzv{zdC(BZ^A>VG55?%D}cpEci3qgKs`Bfe65!QZ7UJ|fNkmYqY zC3n}jo*CcjbuDw$EGcfrWjk{L6o()Y-u)?t$-P5Z2krwQQ!tWVr&k8vBhh{4UGUTx zue^7vdh`^juqfRzY=)p3q`_FDm;pPrOY;$oN%mUhWOn`8q4i1AXcxVtVFe#T3p2AX z<+KZcdKDU)1AgMhtF6*CxZQWC-&H1xY%{lu(=Z8ywZs@3k{ek?f4<#l#=|>~xmyz4 zNnu=K5tV18tjy^Y&fdNb5@tZpi*ayNv+foZ#T}+j%F53hNWKyoj%9NB*4}sG4u3jE zLo_g>Tib^Mmzu9Lt5utLwprHCTbM%#&emH8JnDHp&fY#qj!eX3#3QyvJxInyUd^Xc z*Ukw1;8Fj;mG|$%1M{)X3sl&Q%7?p-}I-x zuH=;nb6gV;(pV!%WoSqX-r}99&NOidc2}DSRqN{v;!h^jsacezQLQ9LB)QuZqMQ0< zs6T71Ke2uXBO{DyJF}Z?Os7>9p~T~Hlb$wt$hArIx_XIsbEGUfeab2OdBxOMPZ5}K zBDHD|{-SnhboTKW7E8ypM5-vek%;JKmgx*@bkaX&6}aK3B|yy4v6@x4UJ0zMRHs|N zrP`Gff5wEs*0UiS>R6`JmK>*wf_01Z`<#fT%!$i20lbV|>p7y& z_wSX7Qmw(&Kp*Jqy-*^#>>D|Z?kSf>NE}Hj6Q}(_tUay8B5^>cS!YDpgtQsYUwiFy zn_oF;xE#Ug>eC_*UGXD>7%IQIl2|&Na=UU#(F^w^dC0KE4-<%0KUf_CSj1l3n1Ga)Y{JMM{3$HUOi`D zlV3>BpcX|Hsfm5IfaNKD=;*m#v$hdclvE^JYsrbyhl51MvWb4w@0=+>UorYYJJarZ z1vvw-^ESDgAZYW~<^(@EVZjK0jzVnf=(UGGzD$6a65(-sEa%b~1;R*UkI_TFM3~12 zsVWz>CQbXv>c_Wf%Y>d~*XS$MMh6NJpr^*%wM8Q^72%d-m^A5af9cI?2Qi|*bjD|S?}jf!zPbOD~^o@W@JR#Kq3N7pYJ_ilZI~tq68C;krDc9 z$JR^o!fm4k@+qX$gIC47Md|R;^OSqJ?gjo(pWddpeKZjLCoiXfj?}L~(u=Nf$9O#P z6TANDq~Rb=i0V)4h9rgSm(1kkvjHs^@7i8*nRGSBB{hmGZ#dSIHQzrZiXv@5U#iyy zLCt?KNADZ z?Pp4or`!P{rgXk-nZxL7iZ512=$oP-97c~Q~IVRC(^+{dG4FxoNK7Rj?*Q3t1X<3-&GN8NSE-;%k zm%GZ}yxkrMRqU3_2t;$V81iG+A=SEoXDR=|B;Y?(#3+1>qb@+llq=5@>Ca7+wb4l4 zz9ez!0h}GK-KG1Sh|9R~UuJ9PAqaXp@NP}JiUkir(DMc*;|OH{kC}#2=rX=i7xM{8 zUHd9Ysdu3F9e$@nCEJXnnW^$w79QRV@#-@2$Sd{V);>vjWeS>a2&E89@%b8!CEr_# z5;{}R*~iYVDT0?R#HfkF*=xh&@NPO&delic#GLs#(!$W9>VStlZ2MIm>gAwc90)XYp&tsgkR~mxgkARG)A7Tb{;Kuw5mdch|2!L+L|B zBIEsW#qqJEvKtSz&M>73way$)*Z+-a;UWF&=KClz3>aJ5-I)eFVatzj1sKdYliXtT zC}V*>ZDsv_j-zCe%1ZNBue*fMQ*|Vs4*JzkWmX2Ssae2p5(N?@h|~RDXEF+IdB>SB zJ5`{*-crM}l$H-+*cm5bW%FP3uIfef2DiB3OFy%|DBt$~jxcMKo6D3v)}c!Rmm4lo z%JC@nJPIBa)7Q^KZEl@xqvO_7|6v%=5vS2+Gn$f4Xn!bRBjbY?Bd+~9e#AO=Z-m`S ztI&JHxk`>eBgLBlIu17OSjG6Sq`O$^vdE(@Cv{d2+-KthIlO$%@XeKUEK_^KBEKi4 z|7=V8{A~6t#tG@0xE7R}nUh_<>G>|X6e`ef)0~r;6F+O&#xQ>$-JfjKCuSImHI7FI zH;GhU~kKoS&mx9OPYn7<9O_K6B`u&!jJM z{w9WNA}T>5{)9|%nwZnUWPRmk@-bM`@dVaMgGoQ;8U7Eh2{6>ZGMSbXX=;^ z(<)rI9(&>*IcSryPMw#yEdXZ>zh_E+Z@>WJHI;byDqGCgY@2El;6ucs4Ll^ve~Wd# zB>Y~5tpl1P?6;aDZ={1Bisc^H{2U+KeBgThlzaFcrNVqXfmdKfeAdLeQssNd>P}CR z`4g;w5TiWg``$|U&|UuAC3r6nyo&M@gLgZ(e=`J(xbAKy$+T^m`2lfmWAX2}} z1GEnYHTbCr5V*dH(+;UEyN=aG6xMhM4SA-F1!!ymbM?fwkW2mcx{KF1C!7W= zK=*qyTG$KxxaMFT;j$X0N{v0M@#Mcoo=U5cR^Ii_xhd#CkT2Gvt?h8Qsnn@cAZFEG zjM~|;eKS@ZTl;oSr^$7fIW#mhXM(7XWE`d;(ub9jZXKNHeN(-cDM3kvI zw{oS!%`T7D;t~_->ue^H!2T^4O(9J8s6W_Px3n;`e1DKFIp!(fw!zY^sN{x60?sIqj9n4US%c|}!=>2SxPO&W zkxyI(a@7CyxZ--m1>?U$c+D~`UQIF>9Q*y|xM#cGfpYcqcKGRPo%2J@!LPkx;ok=r z+!P#PF>h~{)wtX*`CezV&R(LVjaxstohGLj4zNRd%)reyiqIxo?YgV8&JwyNF4o=| z{De&IAe@eoQBg-nhc$Vr{>*9?9`L$@JAC>?;5C@Zp=q=l^9q-XmaX>hDWrSp#V%wn(;d*(zJk(v(uU zq{WPmALJt5-tPM(!yT>5D=W97TyLhdFOB+)reJR}$nay<;NC9w2(cT`q{N4zB7FL? zai_XJo%WfEq!yfbYbNp=5rcHdLZHoEQRLf@B4DhIrwt=MS(JgWK&XLenxKNhmmGfP zjGEEyg8IAH-aBc5f38S-d(%eg@825WYyTi6cnlpwFXoEsS9m^0`msyW=5}^)9Uh@G zWeDajX18zL~n7}g2%!dH55zN2sTJLAE29A`C?dj&F* zE)vD$pQj@Yzwt+!46Yp!2O}Onn-xOC+Axt1@%8L_XxRg-0ZX4v{bqrKm`N14x!~t# zwD85_Mv!J)18q5jPVD1ICt$ZUaG2TlHFBBIcjG_ODx1io@U#H7`SP!qe?C=v-(CqN z`$NWCJlte?I&!7yY^lQ*qE(8%k;f>r^jBSHv3KwLXl2@{A$SP9Tb7z=fafAnlfbR* zd{;4yRW=M>pZ`J{_?-^yy&=B%?XI+w&M}t_2mLMv+g}EUYS z`PZ+g524b*>CvQOHacZgzc0m$Ik9FTZ`&L&2*`IDHBc{i)T@ZbGJj^u^V@pQH<;!MDZnh~@&R_-&LSKDDK8(mS_R=To(SS%C6HNHz78H{wtL4cM zY4esz07L2OxUPL7c(flg>bcZ$f&DeH5WwQq@;6*#V#yh@W`1Rs$riF+-ryw+Epi0OM7ympGnuN~4^8cTPmOyYC&Y%a*NtX>Q zw)_qk*BJ={+^bxM$){4! zBojFJ4q+oT07h^M>Vt}SR=0WgA~7y&JXwUtYbI0;4_-g>SEV#=VhsXQG z;}zXK)y5a<=06?W_DE#SteZ6s8!lIpfdKCjj^9Wm0z`XA=s3dj_H<&9!2~M?{G)#H zpLEcmc3nN66d`s+#YeXPvV=y$4a;vBLCqn_uK`D9_LRJItSarU^MOi2U|^tjv-K(b zqD!F7UVqozT*^~9^B1#y&ji_uAefTk2A|m85j}>XPBm_SN^peh;^w=& z3A^&=MAXP!RQCu0mh|0HG=~E((k&tLk3TQlZeFK4~yo*oa>C;;Q9j_ zN@wAL*w*_ykA|Ku#?s9Xznll~@E`8v1XF~)Y$HxOIHV#Vr4i`Z|9AtPpg;u8ZYz-F4+&{vKgv!vtfA)V>kN=1tZ^XbV z=CM%({lgUQy4^k&IgZwkwQ|F(q+f3jXARD9kwourYJ{$LYS_bw$j$})psuPz-j3c2 z_whmUFKBQb#}TJ6N~Hj&x)lb)JOW)jiGvw}&A%s^0?Ds{hZXL&ja^+ed$qqD{xs=$ z2(MlXyB?p(8fa9B&Abr($smGTtMRhe13&!|&@9Qx+~l;Mgh5QxII4h1K%!~c=8syT zJX3F%fsBtUEE=hQp$S9%-drt0KgqM$&{SEM(H^oFrxY9xmehHwAe4;GYZHPo-19E z`ethYiM8}JjQ(oTX?VL!yiRCwEze5Y`Aj91>&Iyh=w)XAZ~_J+<>muVMXEt+1t9|B zJ2D_}4;BS_PA3t9bs_j@ZdN7V_-EnY4Y^5ZaBX$92UNgq05{MOP>kW_T>tMxQ9wqL zfy^k1qVoMdv*22voR?bIvx5+lBL?>RfNTvJzh6Gnx4O*a+Su@@7QGJ*0@}-;JFkn# zd$$2RNQj8QcEhDU$N#W^*Ni9lk&WEvYLl^da4_lZTvKCW9MBGjMlH%vsWfjuUx7=k zEBm(_$A+s~&=kO_pP8AtmwS5yu7rxaH$@o?a9`eYfUk#6L#mOv9;e62sfb+W&u|U; zbVcf_uYK#tOxhQH#F*Nvi^QOpSvb3;HjB<8&jv5i+LT%Z>Zl7o`Wwot^ZlnVPP^&a zCtAT(F03NBO6h#RrebU=8f9Q3Ep!j2;VQj3sFbUiqKy_BITeoR)QLNd)D6d_JN7+cM>^cw;Puon z^gR4XYnbCDWiJXuSX8H?WvP@bQJ>au2OgVo*7azK{K|ILls4D+5LGlof{Nxvf2`Rh zQ`m=7>tLb~V>w}uvjl+b2QPbE?^-pI3Rq)u;tdnmO2YF!#At-_*6GzntE!ClF5$kd z_K#Rj+;0M5dJfuM|KBM%FWcGFvEo+MRi+=7QR>rqt59_NsiBm(kf==MD6exo;eWqFQ!LoezZkl*V}gt5+Pw_l5*3 z)_tM+gR#nWSA2$3MOofko;oSrZFk?3Q6xxjY_&VB{zo$S&*ArLiG-tzGnMaqaA#wX zSOmoAlse?aBKIw%HO{GgQip#`-rXgexyK_e2SWj1L9>5KC9zpD>6?;8(rBWGz+g&^pR%l$oz> zvBmKW#W`QKg5NhTAN8*$KP~FZKa5B9;*m&^8E^*NB(<-d{Jht>{_AGf@@+Djs|?`% z`Y}D9q;d&Jm|j^*uT>gmlkn*W%6#IVwaWWOeLUQc&Yei`?+%H9g+ ze}!C0U$aUW`U=0o81)j15+2KOr8#*IOiG=YeoM@9e&Seg$Vo@y{K3pwKbzq@z@FAi z6VnaF9)`>Gmi>;W10a#E^LGq@gMu{L>xIISw8hD<0>ug?oLN~hXMs4rX76+T>11!N zxs#FvKM_B42b3E**>!XWc$@-WPWv25-UcMi+0{wvv%X#|hr{a`LK>@2J#0#mSvHh*d1yN{68qe|-8GL==^^VgE#-tlZXLyz+Owm*{{80B z?<7uNz)jI)Wefn8^*@1`{~h?*&*41a$bkk7lo|lQ07XWk3k2V5YEBGt;A;~9?cg8R#{k6YD5+I0S))iwcuPm!QgA?{T1d%pUOH4@ zEUy8L71GJF-bCwNh`H;_dz*6>QWA_V%t~3qi z6!`4TWA}yd5%!9<7156^XZBQM%Dyz2Ht)#|VFMyK_rkF(k*=q5H`_evMVXmyifj^J*KGM$+L zUg9sPfs=NovLI^cApqagWFfwtA2l;UL&G~<2Bokf zbljn2QFmpF2yL2~XRb{}Kck^RiJvIFFLFL5v_Ay@>yU4{wwf;=zY6-oh-0W0NjvGB zz%DUZwI(~xj9E6BhOhg)u&@v_gs7X+=PNKX6Bm>ePuNaX|0wU1>ZF=Q$2h{$7pQFcrQSjV`UYgas}$-9esks0<7s<^m|9C!JVAIq(iN%^NF1 zC)xOp!af}!BCe{-mC?zra!z)|DZqJ=n(ocb%?f!b&rbA&xD5~a(_hmdcl)pM09w4n zNZ<889lf*?fcEU`kxHbM6}XK3zO-sGj6NSeeQi;_OcRrqN(OCfO%Cnvg6Gzw_=Y)3 zO2Q%IrEAn9wOTur3;hqmygOM2j2C6EK#Y?%{LjVLkS1@?V9^iwOWh4N3h`{DSWGj_ zd@xT0)d?YLKVGB+%mEUD9rHQOCt&~{+-X`#obfJ(p^*<`n`2<*v^3uhL2>&a9tsVl zhq$u!>hpKrK$Ig)h(QS7Zc)O|ZS%=!`+jtLA6DHYTen+rx(`xE=aH zf)MI$KH7Z&><4)x*4aA9hqA;#lfW0jh_8gfo*Fwx@f?JqO%BO!xL}s_iDCvF%Wqhp zqm-NiqcFDD{c$s8k1oKqPW34DRIF`7PM`*=4<5e&rZ!0Fa$mjO41-3Y624R^dgFi! z)qy`Lnui8K{kZ+Y(SJ7?RS|p+3GK_9#%T>W%tIAJ7%W~IHAt>n>F!&$S2yo2^v5v9 z6FTtqyuUs7$Jm!=%vi0rMNz}j<&;q*(R1*-Ij!`GY!WuD-M(?OeZ}E@^S%vyQmPg- z+6nX1X4#VeIvx-qj}Xl-#CblDir5nJy#%a}1+jW}NmzRc?X`gFXv zP@2EmX+{~ejw;0mi9L}-_=QI4vBN2AAw7XBbRgFFC(ULS^C)iP^Zei;Xuoo$R9K{9 z4Gk>!S#kj0Qhys<-Oq~@AN5ZS2)wFz{&RZ3+ImBi9jbSy5tI>LH(+0y?MWKTGR{>` zu9dZ}q{WKDRbSX>1+NiIy4<#C3a(64eRWkY@DlVGAM4;z|H5Q4dmC}`Gy&RAfNQ!4Sxyi39$sJtDCR=hl9m7)Le8E zMo&gEp!(XT2D#+O_4_U z{^pnq;46|-r3TQcBq)p4afVbC$k1J<$TQ%k)-Kb+tH#4V%lys$ehx5QF9Fk~9*FSD z!*q>zMD*?uuYsIRVv~e-X$28dt1TUkN9SNg;WDO1FJU6R0F((Yx9>bO)H<|UrO8qY z`T_roK1q=<{Wx-y1$M`7wpQH+?YoE8Wmo(5$!0rSu1QYNoeCaXSF|LbIW=738W!btoP>igH`*sG{Vt)D79bpC_ z&;6G+ zJX-baJD~jrcKShdLPZZ4s_5NCUbsci)g%V88MiGh7CC+g)Gwl*;BFI`yI$RaeL;YL zxiY}s8?Xw4=TXwLau^sGjvyu6yb(T$kKFtr;t_XWM#m(?+eL~X;6=l~KFEI%gExef znpM^U^0e9 zz27A>ovRnX0ZAyefT6oovaL?pd|>0g7n*GTV}KjrHzq)ksRtp*8C@(QbW_8*j#ZHR zXQ_hd!ZhJo9vezZnPDESpUG0~=uyFx-rC^0V4TpCZ!jeAs{P*q<4LQk?f=Sn`$0=? zOku&{=Pt!&H1f4~jW<3T~ZDHFyM^qDT>ndbv-Q1?=xrAb?p#HJd0>~c2@7iFV~VRpF2e(y7U8S*1C zh0=tj|MTxsxw$C$k=0@Akw*8Y{59)TQ(xKp>myh}YnI_#{7FDihLb`(kY;khfr0^T zil2*gS9N!~ZmvG;O4w|b^Fj?Mp=(#s zJS5JCfmTBff>eApoT?vdz#0AEO*i3R`TgIS-VOzK7Adoq#orC;i42@h_7u8hyEH#! zlE+NX%=mm3k7scEGHzloEH0js8vB7JAI$kB3>58TISz1kf9b9Cwk>0j4kWYX^$jFa z>M@mmV>}9~N!N4V8~ca}9DI7mHhW8M+3T7c_9rL&wK$K1 zIcEUr^GBvIz)Aa>4oM0*V=(?gZw9vF7#M`l1PRhG$633K< zl>+4*YJLrXS_&K%67B8M&~>=$74igog^D$0HOay5%#N+d(B*4{?rG!8astL~HxWf0 z&1v|k^oD8~yv6tR0tH(;vm7p4W5eqM03Ev>z?a5-K6bPxSikC^;&Un~0c{4x&2n@x zx|Ls+G5NR4YHmJrt{={?v;dY8Zgr6U{WTt5w@ zK9l|YvSfLO!9kK{2?vE!3LP02COKi?VV7ArY$=8MSj6*7joQKQ09&-{zdn%vpcFqV z_=J4Kr3JUd1MDM>fL{iRHj->-vlK!OoPxA1NGXefQnK6Rfo4kmI=&45ddr1;;_ zf5KPhXe_E{ml(LNP~jm^)ktGk$q5`zvg7UO7`Em}-Ch6%+|CfPMB_bxN8o6yjj>&T zV)X?Ny^1HSxMZa}+Rc>Owu&H$BeNN3p{v;exP9leEM0!EP%@2=bp`#fx(8PgKhToE z6V3LdQ6*j0R+A%Jd%*4Sxt%7am0Por^;+KhHJ1)C{g6xYgnZdk^!mGSvf)1tZ#3N& z+IilbN-Q!J&l6VMq3VUhIm`tL0+a*S=-32b*`s3r9XInrfs&lh|QVIdEl zc%ds|Wzy}(9Sn$qqJBbX_X2XIav^lC;3rEc79IFj^q*`E{4wv)s^&n9Q&x?AgIk&p za}eA;LuP<0q`-10Q@zgmcZyH$;BO zYIxNK_NN=2MQ8>s`D3@_<14)&lqMPyje(g{)qyik~ zW>#mVRv+1E%~^}+fq_n@rIPqEKf_AYLn#J-5Z=4v!t>x1^FiuP>-F9PsYAaPWux@s z6<>E8`3ooH)oCj%YISuQ0Xp8HMu8?#>Y_Rn@QP>|=@I^6Wl=~zm|p;avm;5E3%f0m zh^sG$8o`^nCYM2;ThLx#!9OW=LOw&T4X=D!ru8M7cnT=`PLb6K8j%qkGCr89DS;G@ z)OCn*Sgjz$_yQV+M^4ocp!ad3;`aJ{XkX1SqeF;@^6|X;I=L)UzspGfVgRFvcJ3`q zbB$ERm=i&Cn?a;zsi(gC+$AIsUII~`#uQnq z=<@o$#*M;3>*WNcC=Hb+^bL(B;U+l>iWD>yHHIcPoAZ(G4tg8U*EbY z#Hx&tQCO*{)C)oti11@*^u>;|_PH&eVLvaUO12tfJ; zYJA za+<4^REoyjHsj7VYJ?apW+CYfll|GQ@6Vot`7sNxaB_oe2QtT3?TN{B1e@*$Mx&{*TT@Es;3~W+7R$XDNFy&~Am%3VSokl` z6Gnj~9Rx*74f{#+SQu$WJTDic8|Lox6sF250`o;-PgID>Ywv1r%s=O=9=ElqF{eW- zCZp=P2Rg(T6e*rAOXPt+8E1+w-4-2!PmPM&GZjAcn5L3Ge#z4(&%(yl7?fcOA+$g_ zyZIt(@aZ`HYs1BhCkADKC-$d`Z(bFZvR*jn#7`*aLeZXBgDgBhT?rpICoCUzWi8oo zZ(Pt@<}M9kvJIV)QRZ;giJWX4oH-CX?~z0_cfup#u>jg${BT}x*ra; z)5*rKir*pLnYd3P>JS|h2m~I|K7|-VHyZ~5{h9HBirIkfRUD}|xn1<6+na4h%xvv` zRW-U2gw!M#XMl3w$}u0RAzl7>>RmNNU)*lVUK~iz9VZfzj2p_fIqCZEk}S3)y?8Aw zXujEy1-e|NKK&HrQP_+F)ux|c=y~)Ma!<=m1yqkxv>xQ9Ol7DYC@GOqqGrLP5B!)$ zZTQq5pz(#8j{r&*Jbz{_JjL-xLI|{Sug1W8!f6ddwPHGbnS$t)qen>ZWglKkK@OVM zfAOU3q`nl6bZS%~bm!1X+na3Bcio$(zQ1g{c3=0Iz4px6h|@!UKVp!sot8?ingUgo zApO`uI3ivqu$dpPSFr;?nX(jQr7<7^^Dxd5)dz($kSXBh$I9*xAH_fWzlVp+iZy5! zEbk(?Z6`Sn7f( zugh*hp#hCiF^gETKw?ueP;3I8A(o@w0rbne#McTtfhoS9jS2CSnCX#Tl?js)$$>MZ z2#CqVH307y$Li(A2(-hS3<$=G+f9U@8n$|}ZW7aw`k~SrEY3<=(=#Ra`3J(bb`^Rt zG9|S4|5(Zwa9wL96h0affy0^|>P7o??K*2s5~ltnf0CL&4tRZaKgjH_^%xrHv2ca!7A#P8Bqf~e2rj7iP3 zZhiqVcx|UePFqZQ?NPC%QH-@35=g8DUBCXOitxh#|A!QIE=jkvW@&T4PWXR*lNdB4 z(VL3^&zegXS(Hz8N3@rJnk(}!{OI$w3O{u?+!cTXKT`M(w|Z6 z@P}Mx`x8B1{>3!NVvOt){PC15)nuqD8iFb3Q@NF%Bb5a+Gl5us#oi{FzgsjL$UK?}zB{wb*8>cBzNcd}Pya8nc^C;QMh1Ze+JmAvr_7&=bt_2SYI} z1v<MBLEnigXLy#svF;_@ffYePZCTqWwngzFL8DY57|H{XF{4U(uR3##ssoiAkp=}hHaM+_oepbvMMB#l>GD|a8;@VWvA zCjUo{5VMj26^P(bN|U2%{H}V{NZZH+?NVLojHW^|2Y1#>(&_aeF#{?whb$w3#A#Bt zZ?8=ula~GeNT-(jJ&%yo=y>V0GDw^NedM!0O?^O7u40w*>6N%_OGV2gBxyuMIbDHE^8JcZ$($7Vd zAhj;F_z!z6#si)Fa;ux#x`UirzvK1#tXx)IL~M1KOS51Ff3Bc>-EBgEZhB#;>lAB+ zl2YCL-gO_oau5jm!<@OHJxANldIqRi-_p(-pfwrAY!3FuTnicBj|0 zTCTGK3*Q-eabkhZ&e9jgu@uf8g4!OLRQ^8IS!2pe5QA)#oRnO40*ae<1>uyq!-e@e-ij;Mreq7Uu7@cbhtDsz2_ z?{}+~aS*+0=`n!amTSA4V@LWnXfP|$D|~rmyMsj_jH$3G8;yHF#Z)EcoqArJ%-pfXO3()9nGFT z(WowK{s|t%%g1W;C3H{ZGEus6bs7oe%y35QC1Uh|HRlH={C{_8>|1KUv(Wo4}?&;U})E|blEwu&p8ec|3Zw@B7GQk6ZdDXC))VJ zzRdoe_0Zn;?<9^M5JA;!*+J%t7jGBGYJH@P5VNq_AIjw5ew+eLb~aI4TsAC?BG}ZZ zM=qUBxe?cvov?a~sl! zzFWuy$U2vi$4dR!K7!Z@Kd7SB-bkr9zjX5dJ+2olCgkU&iJ3=l%F*`y-6p9rhdc&P zS%ix3f{L}GC981K_`3lO-d|VVZ!wG)C97QrQaJfZsf43;>`Bi)=zG9xw;WLZRHU)r zXWrqxZeFwDFPuMg{IGqTZ<2an7x4l-1|rqs9L*S!Yo^6v1*Q$YzidenWqS^bM@=Myu;1-2Rws(}c9Gd(OJ--& zi23_sI(c$K3@;Q2a|0iuvh1iZsATSl$cSSdX{-JqO@!RA(x`soi+tL0y*v9+N{%2=(g-(A=E1a6rV5M%n0bzBia$h*JQ6 zll~eWVla>d-RzT}jA~%!XSn2ouFidXwQN|A4v8?2Uz#WSHv`&~& zBF~9>95*M>T~#Um&5p;9Fd}7PbXJbDr=20HDY%agJrX=Zc#R1O#Wwt{;yPV-<{4Is zA`{W~Zo_x9&s)R>vkwS-Mh2iv){uNjNJntMR}2hI)3F%F*YP)YRQ$M<(f%tSaIh|h z>4&ZUstL2}Lex1Y8;V}X4$)36#{Z*4xBU3t4 zsNH!u%Y|~9V|}q{`S5#Wt#ygIC-p{f<+?{~7`*5ahPsH~ybZydm2Grfi_4_=K-Mcq zrn`rgxBO|9Ik0AypuM<|hU$AE32iSDel%4e{5Q!D{@%5_Z9Z1!(;Gn)pRaJaMe%UQ zlZ2J+-Qqox`zArV#X!oE+^1q;qnHA!&|mXf$e^1{4fz^u{*L2ZJ+E3k&XvF3Ey7mD z9aS?XiaGLWE1X?V6xerF1a{zSAGCHAL7|qO` zndMC#5_J;yQ(e=VOfI(`I?`(nNYT`z1srQbFeIpm5#u6j1tjJq&c%1|Csj~1BNCx# z#+jCNfOledP;ud1Uq_{m7^jRGX0rA7403#}ji|o!g5d%h_c)(VvkgL9zr^T>-AjPI zkc`9`aafV${#AJu0W@8uLVfc)yf!z(< zjqij4*}~ANBQiXXdZVm}h1lb>sAE;NvD*+e-8EB&%vcAhiKUFWtH`;R=PsgSZhnW% zY0!yLh@A&P*Qm$n*_h1AF0s~oaT;c+7Aka}65*9o{U5f@JRSA$#^UM3H?jBD=Cn)-2h#_nPPTd!Fb1yzl#0pSwT0Yg}_( z=XspR@jb5(Zt_qOH=}thE5l?GWDyK<)Yk2^2ci4wRyt@ai4u^Dt7m zn|JNM?%mnAx@{T-8e^I*%0@54>guZuj~1KE&PsWVT+9i104aye4FdBr-Q%~~_}(|A zV>PI$Q34f7Grs1d2b+HXJ=bi=(kN_#qa8{tS0{sHLTbTqvPmw7OuQX24j;S?g!)@nM9p_zD>*4f)9m z{h35Hrvo1KJu&ruhFalb_Q!J6R4i@EBV@V7Ajx--?{{|S%JR?k2n;*lh|5z`Y@7a}~t5Z1DTG2TKQ00wU zF3eMiua>iF?7zF&Jt~YMcD&#$Hm-Ovd2dS+d^EjGkmO$3R$}=ec;f|cO~6Opz(7s? zW3Zr^p)u&76vUv`Zr<{iz!68I^hz!Dnsq|o#55|Kj7k9ySr9#BXCINGW1M#eon~E_ z2rX9BlDWP{Bt2Lu_u2r%OP+|b1{;^x$jOf#j*xu@RI*w9m*L*|qO(;0U ztRJ{8bvLqSkIF7wyCZt{sq7I2+gjM^jw3aeLk0eSbeD` znr+Be{NR#zO{?-{ZShYPd%ZGUkG8%%@xs@!^-<4$dKzf>rXCA!QAM10Xze*?!FqKQ0?3G z``GJA^#ft8`l}*ae7I{1A&I@5QGgDD+pREWg~Njs_X#@^LO zqpt9a?;6g-n_@2<|K}~kK52?nL2~L)wNr=Coz`DuGA;QQ|Q39jn#Ts%J(hL@y4neU2U|@pAj`27>y1u?V>snJpq6r+d zd%i!|1N0xab&9nwlF=|Fv!_4W4OX^Jn5=s$wr3gFw&;Mw@>VITBg+0L7 z9NnTpTX2vO6BpsO057%ifw$OaeG{_w9f2v~1?3tc86{_&c^*8rihiEy%ri8|c7v;;+;S(~j1rTnCyk$2OLrY31QAX3& z@aTu&&c(06Oir-aC^o8^jLtGc)^}ju!q~Q$tHJ@P7)nUXrru5 zTQ$Ocz@^*A6y%wDQ<r5&>8Z$TLo<`rmJCz$1#d){#)J06P(?+O+EwL@ zq28U|;f+=uK)YT}-n3JT2&PgspRx@I`_tvGq_4g7i?9)5&3{SC)YX+a(1fh5nvke6 z=CgZl{J8P=CQ*UkPiNP{DI4&wmPg!@qedX^$~1LW7OmWP+46P$PO&|o165;{QV{$Dcsn$dB-Za_H)Gw;3((CU&5upeE~4*Wx@8z>8_pJM*A;n3)9d-p z1xm}hLhp09#I4Kg*qwzEQGMjNkGtOn!Ef_6LXp80#>IYm-Y7f=C6(vREi45~uc=1A z{4e2ZYg>m z|FI&}#*Zi7&#d~3%Ez_Aud!HtuSxbAGh$r9(3BK9egm%PY1)J;OorIgd6^GK2=DkudCY|VxAm80m&7(-O|Ig_ zNYd};1kbvlY#!c0PVduD?D$*Gp=($SMOLJ{KMO+$>2TR(zST%g_Oq?|jZi`b!{-G^ zafruc2q`~h%}-x|Apr~ucnv54P}V5^vqDe&c;|jttvhiLZiLJ`46k#lFYP6s;*0aIg)mqy%LcJ(XQ#E@ zevxYEvB##tj(Q^Pu9aI*XA(`i1kHw-bBrgk9NVt9*b}qPVdN+lL{-r%wodCXQQ_H$ z_I)sJ?Ur<0qOByA)J&4k>&s6_v+Mo!U$5Z*y0*jRveAI!q=_I69_vA2=Xow-?gRHk`wStg zQ&#*vfJu3;aGii)3smD;uw4Cgi;xnUu{Uc)d%yi=N|9QlWUtRxKJD$56)u0;qFe6l zzF1y_oyJ)H!- zz$QHN)O_5&{w5=zCtO)vOg2);je6fDcFcv`iw`1d94W<#TaVuF{`cRBcm{(j?}g7t~=TH>Fq`o>*QwYn@p@m)#*)rJ6s%Mr)>CN%mR< zF(b>yLuW!VPhVe-w{}L8dlIBH{0czx&c9=Gu1X&Z;gVuZy^AF7A{j?VidN@ic+m(r zt8Bfxy%JO{a&)$5>(cyH+2nD-{fGRrzsfRLY9l3z6xfTO{T?2v_9wM_kXNq9*8Ge$ ztXa7#YmX4;kS0DCVX(tRHpem>V(%){m!CFxXOWg8DqhC02P|i#QhVF`)pK$Jc4jdr zr+v+e1kF5UD4jMj{zrHqpQpQj!#(R2KXZSdiuw(exUgn{%$iIaC|m^MCJ$Bfd>^g; zif+%6dWa{|LRR}_gX{A{WPTEr6-no6pVNSkn|TqRJj=x5wQ(x95ZItjajZ`AagX$+ zw$$lwrVo^v&le-y06J267T?~!C?0vpfEpQY?R+c#9rSN zPOd@tcBzan<=e+O>l5zB<;;;%^S0vcC3t_0Av?DWQP$G9b$!jz?O^&#`Z@;(|5QHt zaiN&(>Z?a`)RDA~@AMg>uhFjC=?P;0FETHnWjjU+u^GDoas$12C4vcUPCUu96zk~f z>yZV*@eG-)(9ILq4^4bWifIkU>V?GPAG);cObbhs@7irVetXS1g?USr*aV2ti&2@#ye5VNP0a&=nEsZdcb<1XK0@W_f?7?iI>~t=5B!ti(g?iCz zZkDH{4bSJ*zkzf;2U$CDL9*DwR)UOU3G`n3P`)BT3EhtyO61pdsQaD>$Y--5WPad> z@;ddr*_O-#sVl-2(k$LLR@r`Mn*^ zz#;eVcnv=qHYo=*f{IWty{J5te2r2(iljapC^}&l_=L*-1s&kn^}b-E)kY_eM#EC! z#aXd{cmJ`x6!d)Ekt#LzOKwA&Qd%VjMa&Evp06I%iK}?(qE$)t#6QX~RgLSW2H5>d zs<5_i?pGej7HUa7)u*NS?Nif7hpR${eg*5EgN46|&**(PR{ltMPiONzLPPd23_4cl zU~uHVOb|rci^ur;Dew$i$Dq41z&<$L#@%i@#i;n#bcFAklppo$g|$M?^1+vLcx$OO z(9cXSN8qdzEP&`S?>;_$ym|fqbCua%gkl7OinEb?M0sxsf6u>*T1qfoxk9y}jGlgb zp~G1eGNHOBV8uIqJ$qJOkh$&jzEK4-=5pLQ4=?3Mz8k z-jnrXmF=-utRWwE9M>eaDwa7u}i4zpD>R5O9vZsOPp#s*P%H#*ife}Uf+|3|iDPa0P- z5r*GJXt{(Aj8SzAR#SypE`>=*;jl>OtN~-pOzC4(&#+L4s(Q&lLUv)W?jwFT5^^F( z`?`^&qeNP|pO+VBpLQqn`Mt!p?*A35rA73~&ZtCxT>+_q+KG4fgfUeqoCY5w-O7Uz zhTh-Rg{?h?#B4xY8p(kxU~oT`>YX$T-3LF;$4y?C3!}G|P854<(qSs5u}KrZBsl5n zE0Rpq@zIst*EgS~Xa*PvasOM4kRfYb^#S3>%<1TolXDRDNd~?*ac#V3Ca`w&eJu|K zqFcY*wi{P}ee{f&bs6Q9qAy3)F)$F^NbW=2x3YkJVI!1_h-qi)4!&=JHI-h;2fil5 zi~`@#M6(JPfv41!`wdq@eJEPb5cDMUG{lNNEeV(m5!YPK^E?uI6zeGC>EYIfG*|hb zhj$|4h9e0CWx{jgzl;c~PrFsZ=G(a_ki-T2i+ZsB+MRFG8su`+4ic7ZsV&D{JjO)t z&c87Z1@PeQo;l6AB!EiHM}b$uXz zKJ6gU0bWXvu%|%+B@DI%a$2!(7adtbN~}RoG3>x_4!yKwOQ>`H`67$N!RXe95RxFq z@M|@DJVU-fDtL4Er9s(JU%x3rSkIkeWe1ECckF0xtGp_7~FBuA}qBQk;d zmHiGNnTQyqth2kcKD#!7>8t~3xG_AuQ#FLn2Gj%@(R`{#c|;MKd=aiag4|#M|1|!gZ`f-&tbxl6O%F>mFrv zD-}oXgrb<1*`aTX;5By-*T*=Y>Yc~I#t=<8j%|{q`W41gUmbuuaJyVYj+&drE-&gu zE-hXr+*&T9D-qU?n6JJ&%<^hcRqy=a>KA_Hd7rrBI>!r(iQ8`52H#i2HIc-E`%I-m zsjIlA~JosEL{GhJ%yZ&jt#3POu)lA@x=4Fb% zi6o{69D*e`eJtpwYCi5_O*6plrw^R9*DU@+ZG3_6$(}Q5mlQKYh@-|X$t6|3Z=~f2 zv-8?PFIcUY==X}&hhg+%B5X($-_x*J%86+zKz6&m7e_8yzF6Nqa`QW)%g!7}L`F&= zOD*8~A(o^0ze8YcV4K}+>6J;f2obdGCRWZ^bb?yc!h&}2ilZ<%J?45VB{=SH8ZFhMxu%mg& zZt7%o*UA14=k-Tftor@>bCvE@QU9&>z$wsb>bQb@TOzbWbI7#IdE?9XMS4XXY)o9) zWxuWjBN*A(RvY;>R=RS^;#$_6z!rlF<3_)8sjKpY`>oRXV+0CBdIeZNh%{>V2&O|# zROfhZ>Z>sN{0pf0WsHrXI^jB=@y|zNZb*P`PG}i z^mEsDkXFv33N()9FAIJDfJ@VT%QV7|!Tk$gMT$-cK8eoTRp~%#>J6OGM0=28a&y47 z`T>&WL)%*-a+BCdFnPr zKKvH+-uS-YX4_aY0t!;mdjBEDsFy#V56d8czU!0Lm&E$XSs)T7dQX9*M8A|JE8wz` z$)p&4U7w@QubO7@j^(|Hdy;p2## zvdT=vp1knZ22g}%)&08lAeqHkNB&_!&HJd(&l_5$9;b;+}P?m8^?sLwS2o6{HgIYlXCb!Ux z)P2fT>=Yokoc<(G6|Y>PSM=Lim^xSAb-^oF6kGf-NxC=zF$Y&MN6(=_)UC`y;Is(E z3pz0!N)GVp%pFTNc##tFI74g_X?>HM>w`hjA4{O=EpMIh^u<1&Sss02)9*^6QB(3; z?t<<^Iv9*&b>ChWDC|d}*-J(Wy=TzvqfMI3ry;hx02?7$`0*o{J;gc(wxsmes6(;S zANmABMkSyn{*c(A`!47!mF%}e$F8;h^V0{W#;)SG!?O@_s%1jG=ADh#*CBl821d;b ztU8`I&2NqvCJ*l=R-+%>bDADakOq6qV4e*??t!yI!qa!6n?Ph``?Ge2vSOuWPpr>^ z%>6JMYESMmP^HHfsW9^P&w>TXg_LdXq$-g%2MtTHQDPE@eijx10Hf#sx5`pPwjeirM1=^9dYvsH&?59<4Pd>?sPDq9cfjlDB1e1y4NOB7a zTX6h+<~71uSeGF-i$UWhe)twU9-Hg`YkjA;XJGbK!Q5T1*Lr)s+zcBGJWkD%id(A1 zeWUpKNG&}w!;7D)-ma&XHP5#s?DU!o3>1zz&)SU_{Z2D$JJ?2yGM@ui%iM~q`SVpupi~Osm&`zl z+ccgdycXH zdr^ntVkv*3`srAW_~+2cY8DRwuEd~t7fN$F%gR->o=E{O9An&3NHTa}RY%U_DpfwA zec9oHRgnXqi8QMuAXUaw)s<_U2-rjMEqPP zoSj-x|9A{Uiaexes6Y$J)cPKuY#qS1Jh>yoH!?tmYnx`6QYMmgoeFEtBaoX7;XO>B zJMXT8k5~p*7J28eDOr$r9fI3%rmH%*r{FZrLaEmlWRj}XlHYp&N^@pV_cYmYPt1oI zr;+As83|fM%9DrkLOnWH4dokH>ww{oyq?`^(1h&j+{|#x{!K#a#q&aJPI8 z)IL(btL~;b(=*^cYZPL-_OjCt;Em|RY8`&mJEfo9KD;V;WkRb4WnvGCd`(^e-8(xA z{uE^K8TR|*#o^4)lOktXxhP!}5uJSitQ~CbU}60LmdA`xM_iwY4!aQAl$1x%1|3NS zsF|c+WFS}rRNo6MEAWWufodhQ9U<#DO2C(Vitc6hG<^7e_W2UYD%wqIb;OzJ_4E1n z7k0Jexz_#f)YE?$7ac2ch__Iu*g@_T^HZ^;|-67NZWi8`}sQGS{vbpKpa8^@`AW2|&FlB~#IPyj+Gj$726eJtqw zL*!X0d@oHH+Oj7@G<^BOtM&yY~_nq^sb%=WS%qs^qHIJd?o^Y~VQ6qfd7{ z0jxt2PYDNZV5`y7gVM^+i8fh&@UxKSO&|S^dd;AP0fa~I>XtABPno&1JWZBUT!5MMyGtW3?~7V>={$)m(y_4BvX>C zC~CU>0*bqx$*6j-{fWKBmshNJ2A`X%`kR`pzXDl>egn_`m+{t<*I6zevoyYC0M>Ua z2;vdgnKf8$AmMO~Wb@9=rvEEH(x~a?QFLd&|Fvw&xJUQ2X-_a-hq3rSQvGa#3jOJ$&xt@ z2F*hSZr3lc;HYq_lhaVEK$g8addWqpYFxm3ZpH(F*51t8#c=H#@!TsOHX3w%R;|Z= zq#O0%Eq5ZGM322hx`cxYxg%tv0z8fx`^A{tmF}U7=-k;|AWaVI$GDr8rJ$Vi#-B7F zHTg5=sLZhZlGhiLz7d1Mv8RJ*UO-++N^d6!OZ#cF_#eJAIPl8;>%^xwJ+WmUw1)^h zbk9)^ynvjsCz4S24LVddKQOAbP53=)`eKc_&{_T)QSJ$e@Q?XJnFx)+ju1qeOpTc& zi)~z_BXIrg??m>6v9QZpb8<+<{|?6YE_a#xTrsBO&p3;}Y9~#H+o*W01ygs!lM6~g z9ifB1Unc*tXFg4K;TYgQzKGsrwvFBYuo0fFDMVnt8L?xavd3?#*RUffAjmPhYlHML zFT;s%N6anFn45JSAXJLvXgjqDjx=|pbJYft28MR=F!2zA|XX+B8pfa~1G zC!_Y{J@k44rmxC@3b)tI*q)O)EQr#Bteelc=i@y~%vBGqB9Sq14bCO~kX!Os0B0#i zV-tS>QL?O8p@qIbL4Cu5dxLyPv@5YQtj79Bz({I>_Qd^{FnrfAPmL5J&-)gSP^sXr z6P$Og*QIt1gUayuvo8H1JK!p0^?Sv1t+A95zsZxzjCBg}@>KFJHC2X6W~-MkB=Z%& z9zOW{SKuO%T|?FyrbC7A4NVlPj;N|biKs^^-3Aep!q2*&eZ8p$tes98NfL9*yBk{zIW1taIdoFf9>x3 zzaV!X|7G$BDjT@_iK}OU5vGBwd41Bq3T;e&PgjwL122BSpj&d?Lc~S2;^Tqzut@8_ zSpegYGV^_@wIda->+F}XDIwN)0#4Mpg1$&op`j20g8QZ>DVDn93sHGF^2)+cAQ2sZ01Ja&B8h}6;|gOay5kQ$lgJxEZ{9)Ozn1?+>uu|d%r zm2$8-^_|S5NJ$(M+0MLF?790q!i6eS0*-lzjx zm}tD%7!{cCySs-!x^#HAe}OfFBt$J&(gKHsq1{+8<0KXw26d$u0BAO4=>Ay-iW@n( z+j3e5R|ulHS`wC%L8_EX@#jzGUs}xuV zeWS+W;*|+&@AZ89laBnPLg@Ir!RoiBj|$^|*tIpqAdu0Y5MEKihz(T^kl*0IEK0K) zv|g?Q%Au!d7|`95R{=(QTj7$Huyj+I9ap_DTf+a>Vex0U}Y#-CnS_vV@VCLKQMsD`yn)SC#s@fRUJ6wDcs2%6i48ZMVU< zu?6LE5EW#5Is$W#L;3R#fX080{ts(Rr$I~d_GPmzqvDQbO8kI@y zFd3u_A{y51G^~_f$C>gmhpavEf+_oW9-BpUlJ0uQ_A&Q2&Ta_dA^78ZihXUFU;LSE zeoXfvp99_Z#6p<{_k;+C*);pO7*$Y2lWT_O9no^&A8>d5xu5hS3~xBJwxW~N(iBGp zLayW-bEbszwQ`(Vkfo%WO-dd?z_bNOm>-S=&?aq%0VDeRqplO|#)+ z$U}tHkpy#`LD0HoBvZ8)>QJVNZX2)$NEX9=x-#E1s&T*}U7VZm+*Ht>9dF_g2s6 zEcp=|X*7ML298SdoQLthZBhTkcp+|LT|Z0RNL#YroZyEsLi7w`9#8qdfW^S0*`8t3 zSPTyNE7`Os!78Y^d)3{$kU={JrBGzzUp->79|lZCn%8(lQvGiqin%SLWfP(|i~}wX zO&{&$_CRMSmln z$@r6O^D8zv>MSgtD>jgZ^4s`+4D21cvn8=Ch^x#g2w4WxTls?t*kXqEPM2{f*z$#z zgo8dlHFM4zQ?=T>zE0rwbWJ`#V8B%Md&kVLqR(AJol=4jLMdErOjUk46X4*U&Ruh$ zg!?XK)gA+EOb4-BaTMh7w8rXdG?0j0s zv+QhCKfe==iZQ+-*Z95Bbvugm*c=P_D8q50aR{^|t<1r7;>R4Os-Y1gZJ9|2KwT0$ zt=D5E@Nr1@Zg)1c+lza-xI?PgO?-M!N^SZM|9nuL(pf2RJ$NuO%oHqGGApNgY0%hI zWuX1YY^ja#4a=Gv_Z)Y)HADJil`#<(v~3s1LoXgc|O&CD&kGKmO?yKbQEQT$Kw1skcJ znK(-gU|?bAQu_HI5xPP^fP?+q&@rvQ8+m#gLM!{@Oz@mrQdiN1r;_;|5j8%U)XGq% zGy++QL`68kcfhZ0qdB=QLiSXin>_Dg3j~!uYnGZ^;(x11GDGP9f|(`klh&I(YIso} z{rUt`_M<^>dQ|EGe!Y}tNpk6JZ@)7DA-fM%AZu^v!47{8e+b%-hBsL=VHD+(_Hj^g zSg}xU03D6l!X`(j7gy;2&biobsHc+?Qu4w({lP9q@x{pi(rVC&d;@0nJ9U|0L?k8+ z8w&;NYsCYYW3Sb_)S1UbAy zX*$Q|84KlJ7nb6$hd2mTCN2ove&uaCv;#k;RlA~G?HA6fe74LNIW=Vf!d9aRIw2Ev zS^u74{PUDSf*56?*Qqo3Q1eLc6N)DIJ=`5IY$zxlk7hLZUCkDhL%t7GlC1)+cUkf` z&A2!?zmvr34#!H|3z8wHgy1gWhQ0Xud6|MbZZJVml^#I^)`X;DDi2+v=S2?x zYj(B^{c>qv(j;=hcjC1{yJp-{_}9hL+4fNz7)u!Z9xHuCbgo$Z$VwGz$$*$r<|RDf zEYbM>cmSbU9qR`?63&_V2T-R7w8TjLb-cUeH>n*2oYHlenUM#HUr;zIH6asvs|`f? z$8w4I?GOiXrGfdSSno2ucxgWSzrKdN?E7?k>JQf9cvj)$X1_16(vYW- z=yqf3w1HIXPzgBeVqx816AeRnhxX~7q`}$^T?~01x@cKh|KtG7wCRoORyW3J!f%#& z!&nSI@WOqcA8Nl1y(XJ`FC~$5-{Pw8MVs$y1F^_z^W&Xa@XgMU zT^*FQ1&&$GuV z3O~OrnE*#}^IX^h&32W8|7O%yAZne>z2G&OHJ6_9d#963;C07OxyL-5^|YP94Gd9N zHu2ua^bGOM0^7n$9#78zkS`!zdlp?clhlSvV7h&vG<>8)&e- z;|Xcx?cpQ~mSm+*81kSZKdFhOC?TA_T;p`-WZW4_6j8@S)yVM5q5?V97=iAYkDjGv zCe70n%5JwmKd2|Zit(hj))VxVuV~u8!r z`go7)@;j{DD>lh_M{Mu@nO?sj0xtb@uD(hZjK?^kTJOWiMB1SoWX6O{xIn&OYQ2%L z1hnO6OJ@=9U(&mUKZb}|itBq|t_f$RLCM>*Qhn9d+?6H3H3)3LlBRe|Ch=V)H<07OflpLW- zSJvbE76ZdyI{>UqcgsXxElY_=eEggAY#NG5Q(f=CY zI6bPL`%1%$bt!~5Byvq2-a@`ybT@}f$?JsVhe|_#88gMg!v3fkkXTq8r^W{%H%iLq z>K~Y7oi*J*^(~7c@+$GFiN3R&6IBpI`k6s7`5!)*|BXz6tKoVOqcU^=-&W{<67y+{ zyv}W$d%v0%YMdr0*Jdn=JfuHV|biILmwiY7{g^`sC{&q4b{->ee&H0TL9*VQ1BP11^y&%uyodtgT zQMQL4oF6|8Z}xWvX-qZ8n(cTlDD4K9!#W@^ZRqKQWbF$?kfN{3is|nZ!0@Z1&seo( z8IgmC%*%Cy7B|aKW~ar$0;5a^nMB1L3VoySXWB}*;ev1Lh%6Zjx$j!>|0B}fD}{SZ z0V70YSb_kP*QF9UMLMa}aVuFP5?*B>1_lioR}?~O=eG_Oj&%)J2QxE+@A;(U4WZA|GLs@(RH+uv1yTp#C}{F za%1%RyazACUw#uyJVt-RPU-K;&NIG~msQDFP|ntp07PyrT*`d@bH?sSezbn4@lJYp zp8`8(!BX4f7^IIybqq(J!*zw7e@vFwH9fIcg?32iqv={GOo_;8kCHI3UoApbLYGI+ zm~uQfas}O23TQO@@#E+pxEiRZiQ5;Koji%zA7(>{0UF~)$K=uf&T9Voi&Zq3c=Cr0 zYTU!#1PDn8WqBGCHYhpqHb=i)!|lnZsO5P66s8*lOc?D@bSoCn>rr!-K|dzOPkW~;Jx*FIi ztaUN}+9P_Ig(JGw#oSNPbqkQEBj|(sJ;*a^d%Cpjmjkwkzx+4QT@%-eMK#a#V0pk^ z!?ot;UtRo@e#^lJWmrO}!}tXhPO)yUFa#q+ZQD>d5|LmSE{huI7S*g z$s(R5y3->y*VT9XQ5z3~Aymj_tY`1%Au!-r*@@QJTdo;azPz^!HD4hWYe38zC1kqC!@`0YNQk=S=`j0ZgZo3pZxLqI z+g_AC^K(;xc`gNaCy?v|fCVgm~6kntn! z@`!%U+yDIK?H9JW4!b{ep=ignW}+cv{#e$Gp*(g*I(qt=YC|dG~HY3YiqKP*uv^!?<+!?v^405>D9YC zi!fn3`oNTx(MnY=3XPSQYDM$Ptv%yE1}EgD(KB6JKIf@0j*}e8(SrWe6UWbO>raY;?0$E@3p&Xveiw2OUg= zB(s_4pV^=6p*gS|Au!{5_0;-n8=_tAuhr)=r?Sc~bc%O_?d^e}6I}Qu3UxP(pGN;D zThbaWG$_V1YJ)}G2g=n0Ut)#0~t)JD}WyQ*l28>4NRYghCZ0NM`1O- zFrLu3_Iq4u$Xp zS6}W*U^&#eQj|Tg(go^Y3f0K`P;i>jwqqrfO3;o~CXKvE>rPW@qTI;t+?^vt;G%=v zyVj%NqOiF9p5KCQ`)|NV-LU*emEP@u3$nDGbNGq*M!=81J522Fbbh!C*oaTS(2>`w z3E!$%P*6Ku>*|T;yl_w%eV(D2@%or=$jsl)N7ekcEA8Q(FHz0csyEJUJF^V;4O=3- z-}5j@rAFoteN^U3pZwUpd~u|l5l&5clxas+7a(zlUB3M90+IzwE`Qx3oL&bcUN|pA z>inDmIPsz#XREa}>|cC5&+U_8f0fH290}$n*T|`Y_?Ydqt5vLpG5E}QKye|v$Mn32 zLtIZi3oItc!EoSu=~>&$WX>a;C{kcp&hj5cw`^5?6^ct!igGmYD5eVB%sL@3hjdX# z1+riWdTk&b0GaiW1!oTcz{PQ)kh{EgvrXPN@h=?;Pj53)mxzn}@VBm+_eR~&vd^=) z8=($TNx<&>aH`5P^RMHNp^I(K)QaR~JrK)hdx{l3pyx@+c@$-dIp_!R4XEQvN}#O} zxXw6zAi%IiV{YK62ES-S&_q5iHb)Mi;ynLjKM+Bp8iV^q5gO>;E)N#C@3YafGJ6z_IYr&szs-! z*Y}{-H?3SjkM&Qbll6EemgnX4&2E1X^9wLtkqSRqG@#C#e2GGFkL!%jOcVQJ_3J z$6ENaK$vtyBFFM4KyUhZ#O5fcLebKIn8JE!SO=t&?XVu24SxMYEJb0YLW8RK zak0PbM}~BVYe7KAyb43wk(KU#h|T|5oTWgk47DT%)}m5g{mb0nT11aL#5x^pIaR(q znF@%qHxy`)TJM1Wf@PUsw1-n^KMg<4p7WsBn@wp2@ApCn*?Y!cA$*h$?A5Qc7xw2( z$w=F6eFk2ns;87UAu!y=wOZQ^8#fAg|6p>E#0U$>n+0G?Rad9W+d9$2ZTu-T zNG=Mw-K_UF-&59X+apbZHMg@GtP%i=$znbcmitFku8v9ZY)}95%0EBHx(-*b7$%9q z;m(d{ssctz8onih6Stpoc81NN#D_+T4|oC^l*QO6eO6sDyc!q}#i(me=9BMjG$%9^ zW&(k@L*^UO8hE`=wDyL~xOmBF)I6=M5VN~hkV=Of-`MVfBWUh@!7=1P3zvMal#r zk|9bKAqR<`L`3B6*gcSi9610Jv;mpoRy~M1iJwH^L?rm;gpzG(CK^)rMddT^PaI^q zqA9&zqm}k9Jw^CId@@LCMj@qA9fhL^2 zWWGNGktvgGo`v6spW94%UDiKHCYXor9g4E4@O($$^RM$U0qYXri3L;^EXhW+;V*Ke zW}NR|I4rF?yZnHxJHK4q(P04D5dHokPrH$FE`HwDEcl>g$*BnWoA6x;@Q!dDcW4;pgm^||tX<6Xtcz0KbJA#0_z=NJ#`&S1}PGY!edFFpiYn&R{> zEEs&irstpTnmDlC>U8Ii?9Zp70|tTdhm&iP>Rn&`(ZZMW|v6KWyr>H=>I zGi{+(!7|jyXxHbTBOd3UrrTnw?rUAG(f68_nRaIU*2qbXgegss9=djRj!n+Ms4QC0 z)r@D^R3^`5rM;>>nL<}u&FB6zZBrz~?gB41{qVC4T-2K`{{sokyeMnBI(ekC*qS)f zvcgl~^z*Jx$@8^jT@^*>(!SXSx>pafPk=qwk3EJJHD26Vy~U5CD(MO-#M+8(=hwdl)L@7#8(jBat`LNcgFKv0`NZBFu^`7mCQMSg%oAv!#$J$X|q| zCa`4|5I#8W3H}ylKLz$y&<6z%p=)Jy?8eK|O6ghGOJwULoJ6o2Hm4(hOBC5F+i}`+q4n9Ix&6?DNKruQGLdn5cZVLGN%=i9*CFznz>}+cKUS$y>UmD-xT1CxSe=1yS!7r?=xkXUq^q z=r^u1{ox<^FBvbgR)gFFS`0ySGoh8Mk@7oB>_#)I2w*_xD@3qv`s&w;Ekz3)YTqXj zH<@G776I+FaswjhIapvJuE=m9F;jV#4(mQwNzL_D5Jw;I4QAEc--ST@;8*rbXL5Np3DnA&NBZ!9 zA?2b==d17tGRuyeB0JaEALn7{{d5G^rq=b=exBc_l8#P~^Lqldx&>Yk!;$d>CFsEB z2iYK@(7xKbWuF#s=&Cg_#Q4<=A=il6DXonJ7njQf;F^|jB)Me^7&jfj{xReWVhjc? zZDcRcv@@2V<$oI@WpetNI17|`wSFNU;-_$|;6iU)Vv*Yi$__s0n2d!;9vQ>pTt{7%`ZMewI9V4@MEitt;mYFSGT_W*m}Ka4viHpnrWA zy#H_ohz=-C&|piK{2tirDe5V^T@Cy-vDpgbK=xL0qp+ZCQ%WppIs5sCk#mAVJP{YA z^H3L|TJ4-bzhinspSz?-+-tL_aBCmCLDisn@C^+LBMCU=8eJjY=4H~gRWbbJRb^8s zsVY5H8}p@jnVgZNv;AB89kDB)p_Kg3c32mP(gc5YdQ47&8FKt9D6HvM06J!q9jztg z^u~A%b3w4Ia`|&#IMZgXGWXRh_c+>g6awXCdoy$+T@f1*yjYoth!#Mh0V+ZvxSfHausoXhjwBJod30J(k+DBcdH*z8* zl2^4`2&QFwwZhl`NogN_YUcq zH)R>Pw1_S4gtibB&(2ZuJXiOBQXX0h0`rNtyJY+=FRZ!zHGfDq{IWS~;}khN{X~IF z<_MBpHNbbKllxqy*bnWu_M5Ej%>;nMq?W(Qa%uaOii2AWHQ(f!JksLLtA-Q0u!V^p zPFh+Ln6r&!;}6X_yuG29vYWO@9P0H}@z4&&rY+8Ls8EJ^O{UrvPos5LK~%KAwgKiz z547Ob)C+RU5C+UJ{IL2v7Ex(H9YD?Pr7|Ex- z_fOQ5YzQN^-*>Rn=bRRfX>SFRF25oIOrD;@+iK!u@p${AVU(fwkI#-3H#fqw@)jwc zfE#h#cYGT-wTCiQxvqkV?!qFk2X}v71&eC?kpqjQw>ne{5qu)={t3#!BgH-&O>=2q zC&9Oh5Q;nJc&Vy1crKlGb#R|Y#wVZH*(YdJ^eC@ConU4jzQNJt1nO1IR|ARs9vASodo zLkkiHt)z@Jh;;o9-uL~!&v&g^{DH#a6X%?L?Y*yk@y9WCBF3`q5vT<^F2iJYEzj@j zs;Zsi3c>83pkGK?^n~7k$gB^cg^;71D5QzeBl#(1OBOc1_T#0j2`90+gjRUJ)~&BK z>B7qn@~?uRsZSvMy3;efX1?~w(SgmXVwKovk7wrZ_d!tWHQD~mY3Wg{b1tZHv4TM< zwhC>6vC0N6#1!5v^V0+U*Uz#U7PKULK|4X?(@>sI$0SDH2*wZj(d4!PtO5hLU(wzeM}kD*2CnAd`T3bELYH(sjEiVSe8$N*)i?9YHAoiGS-B91`jVP z63(rv5!ZrU#rraN5H(9Mnq~dfWzD89K&Z@}0U-ynPpy*2Rt!~UJYy*oN)&b-zkG;g z@GiU0T(y(vkL!S^@EFCi21XZUI^(@zN$VoDybBKr1oH!R(LDiCzG3P#EM_i38yrWm zLRJCnW`(VWlAR<|#L!*Q+zaAxaS&MS3c)=m{>JcyHDt~Gx!mX4Xqf>q4%MDg#SL$q z6Y_khqAZEzG2Ly(!si=*&I6n`K31g0r?u@|n$`T&9hQZQj5EvjW1|4j(j2nM7}@sBo#Iq=}V{^0AIA}@Oj;|Y*G4fXM4xebU+vaaGG&S2+5M5j$oKNo&`yPSX#&Da*gtvB?d(fB;*Qjcbm#=kV6skJ6~sH0SvKJ7dwdNgW;>Lo>UL>K?!bE*;4gGCV_ zHOCq$za2WaY>6C^`buBYY2P;gH>Kh~t~y2BV0jg&)w05u7!6j$?i&`fthxFteWK~$ z*EU(BHYf$7fD&_?T4n7V??r>7&1vBRjSp9*!WVQ(ugwcBv$n;W2S@L{%-BBIeEDzz zBfId~yW4s=B+Yu1xaC(J1x7iISZUC zVFI+8GwNK7C@xoJ96kHxmq0o|nu)dRrCNf!Jiq*Hsm|7t1YkFzSH5Eq+ z`F9So8o9oJ5hzoS)9%2{c~^au?t19uZ|L+&p$Yy}{Ae|j@V%ltt%F;V&qXEFhT`L6 z0~^kqn%;(T5;lifI4L^E?~ls6O~r)x8!{WFT(14;f>y@&S$rSLFy79`QzbkXDO-HR-|$eJes4!(5y0II@1ma72ZZfTk4*udL*r_5lk0v@?-7aiI@ zYdnX>y5MJcS(?3md#zp3EC$QGC^~mJS>}e_h7(dO}NWrpnGo!VidGP}S9$t?|Bt3GpXYzZa*~FuPOjuoz+KbyE6W7_v z(D$f^FHq?)F30ky=54S9#Nv^5qeJ2(AvzL-!n;MhMO=0A>7jFJdI#c;>c0P{#TcIs zJ3NV`__2Z`N`Tf#&(?e>!pSJKLnP}S*?B^a09U#B=+zv8Ddo)El;v0(CuC~R4UQGS zMNnrc^Fv%a5xG(Ev9IBsnwPpHSk79|;S2lb*5g5|f11=n{R{Zi>4Q=OiMHr`;4j?v z1@gzi8AI8an5 z`$DtS9LV%;CRgGOOJ(2Z-Zm|eW=YGuU7V*xebST{QTyH*eZ z;!6Grl%0X3Q#HPs*PcAmE{gIT*4g%XCTn6Y{#YW1wMcXDl@XVm-{~be*7cR;8!7$q zO2=LXe6iKTPfW!M51`*|mZXsgB)uTRIRR_*LT1sdP}0S%aPE>6z|PI#UZ$1h$#pVZ zhS8_R70qxL3qJuVFn$V_$|S$PF{H`Ig*8An4FCnj0 ztN)N;^m@5Vcy9iNW|!kMJ4YxhFq)*Vn_VX|diMlH(ezUF2v~CU)I1NQxwoWJPE!K4 z&zxHj?2#P6Boeb6(iD;O`E>7pmiT?-AF{kBJi6^1uunrtpvCoolvWAPVx>2o21lsJ z)}U%Y1?-hL{jsN1!-I>Z@-m9z3BS)Bw7xa{KRsG>|9Z5{C`b4ojjM=Af-I8@;yI{A zso)3ZXg+M3kAd9$qo--Z#)8uhi`pi)>YHS#^&Hq(iPW_YB|y`*-NQ<_l#e@+&K)N5 z)J!ARU+iIvyZO6CPJJ%2qY@kC2G-@`ZmVK{U~xj8z%A2auNCr=V?{e7Y%$?$@$C7@61y1pa9UXVKWt_TEc>7E^KS-8$KKgAP|X=HcxkA1QlYZ?I;8$o7VsCG2D; zBZxVS+i14e@WljgA8TY}64Q~QIR&;;%83e6FPQ9`hG+)a{RYr2xWbAJM1jhP)4OVn-R@+0n5O>1%$8ah7FtL830 z%19yUyNIZdl^@VECNd`7A!8|<-#f*R=?#~QCFxf1j|k>>g%Wd zav~uj-Z*i&7J<;QMQ4IFuwcGD9D77AMC%x7&yf>OHMuHXa>%4DI~H<)6QV%&5Sh5n zH`1@I-2##bi@;>q#CKPqTRjPQtCf`Be5oY*g9}M?cl?vKyizYd+O!}o*A7xAiYpk> zMh-R&06J$}U{~5xm#6(c5pCi266g*lPw%AM45eTR+spbuL^{{~>NXWqC@%3&c6jMB z$yC9`Aee5k`7@+MRXzk?cc5CYKH09*z!n~J!+)$q+J7M!H*1N|K{J6w6zyua>Fv;k@Ma>ckvus#^IKuydp;t? zuON9YC{Q2l&t?JaN5BT4JpkrDZis4nPo2zjK^Rwmb7gMnE0*xot1F*&={Xu*VG1b>cdy(9z9A^adrWoanSRC~`FexERC|BTRwzAI zebu$0M%*DSsqsa}g{K!0MxM-C^Y{)tjBANA!MJ{-7a*n|f+Qy2-FYTR?=P`}G)wuB z(|&^y&nE$$w}rNy2Xe(mhPQf!Qm+UdqrrzrEn5^MjUh3 zdPCZg_Wy4J2Fn4)DG#S<3iK}HV>!!*F&y6qqD0G;!F15luD$iGwgsIFl{d%3+m4R+ z9x^zS<`s4CQeCBx)4W!Wd9(Ga+>=tR=))P=?WAEQ&=hZV>#5Rd)g6|w@c_c`TeQ}< zA5oHLS+Lx~P9VvxyI@feh@^wm34{bgenN@XM>%{+8~14-gtP&Dy8A$1FwJ1!y6w_j z`YB{g&YB|CO0K(!eXNvhkp+fJ^mpK~DY^b5W(GO)kQ+FY%eG~f-L%g@;;CXvt32zb zHzu1>l_{!4`k9<^sP1dcgiy7|DFM8JoS%uDH|o!!`j2C1hNOidf9_y|MgDRmw1W8{ z0BmT=zgb{*oGOo5&!9%hvJk@ANjXQjpryhHHSS5WEyaD_0iqHrE}iH$#+5JCH3<_D zH`KHVfy%%jSFKrdX*rz9g70ANVhRyg(L2U?Tnn?W8I7pcZ$+J;B~(bX?(jl*bo`!~ z1}qx^nzH$N+@5$e3Zl}*uvUM*Jbm;JDFHL6FhMX4(?=Pq#at^;Bu!9|6|mf&x+6<6 zy5hYkZXMWb8fWjZI+PPxAHjl)Zwwz@2BkNRngT|w&#J0hB65b}>K&KsQfpyxnThH) z=D~!)1nCdx_hG4x`*4kxgsfL3nurv!yFOJAV?0qP0g*t6B;IP$X0S= z(TwDd#eAr%P{5NZIs$C*_V`mookw>SlL$t8Ma1@Jw zpvF9MRM;%?+WFb_)_5~glY)Z^N!;VgP%K#M`G4DJFg;EEROgIeSz++~K#ey|x#V%4mHCf&+J za&?7fZfqKlBLpD<(hx9Jhp)g!hL_&|q*50`1FDL6m?z3%Ctd3j=_UX3L#%4OaS2sm9&ALyB8(cP3plm_N{6A5 zoD5ld$$?!S(TB(+_47i30doisR66M9<*j*bEp@~FjSJIa)0v4S%UR%GvTa9Hhb10TzLmNxZE;~!$hn3Tm3)WRUUfz-1=;wTw zm83iv-!=rMwQXHa;=A@)ntcOFY9GBqhBH7PmnAkf&jx`59r>m`OroZJEQvHJ;Kcl&1CbxRxW{ADSBKSfxcJ`9J16sk~|+xi0?I zI?0t)!sgUR`5-Op&9wlY8l_dIH%!YE?d!dfWkW$vI+8p+YQ6YNSIu)Nr6BoG3kEsA z-m2|hUlLi)H$a1o0XzjyEuCGaywTJnlzNwG`eG)j6`M%tXy^VzQW6}$W2Kd?NP3H7 zgP#07-H^UF;XBH=Az;sq%(yz6zw#7hl#b|B9l`(gLBL9**X$cbb;3;K$1w885!t!x zZGeeBmI})3%RHZC=?kA%Zq2O!_J5ph(G=K7G;foq=H#L5ser0A;o6i5+ZpF-9&;?^??nN7Be_3yb__ zQ7p0V2X>FuGTuWB?b51kE*18)LXb!h$gEIppKaICbeuEOd?7J_<0jmOC=RPGnMef7 zc0b=fa$Pg6>mF0_FO@h|Libdjak@RR|BfdDC#QS=UJN!9pO#~)i8}Xtw^RM8P}lNL(B_?GT^@vWk{>1Pl8?)DA|^TllJRA`y^7 z$0i(ya*_Db8*+Zi_hgfn#C5NR18)~TsVuFqyU1NT+Kf^*<|4hX%805@I8%}v(#oGi z{!O(#LkW+#*i$u4$8!KhJD8$w^FVnw;cq9d1~9@QyG^6Ttx5-cXdfoQu&I2x1;R-v zUJoxC{AV)<;kYe_e*8nCe%q1eZu%N&v9k}XKP44`tdTxC(#@C8jS4DG!o#=Ha$?Q~ z!$|smG2m2-GB)HFv+$*aevj;u{S)F>)Z=?7(c?E2DyN_{9wUb8b3e}Nm@RRAyHIee z6e}0%A#~qQAli9%a>^OWYYFnZ$k4|qhZ?1~vPy*XG5HLB^p;B;=g0m`=i&plFmii~ zxSY()Nx(H7Ds1BE+{2D>CzLms^>kWUpXEzi%zd!!L4Pd&hW@AKsc&I**%R4xzAR5a zdB|>*_6vH^7g@e9v^689O8eZ@HV;$vO_9!t`%De85jdBhU8VQ%^df-LVD(5ghP2=< zJpKTu;CEWSan3TwvQG)u{(0>LNx`c~#o^cbP8KS|&`0`u$lI#@bGTt5tKpyE-g3iL z41M=^zwT<}qozOzF_QeY86MiH0pI9@9F&>j-gPd{K4YJPdT#67hpWD6hF>2hq=Nq4pZjTxMfds`2ZKrm%X2a)gKkdbppJ z3bHga60tCb$p1yJ6@AeKhT*=M&Qrx9rHbZn%iX3;(p;91TcI25BZ4XqBOlK&i8$WI zzDXjI;zth5KSYCaTzZUYzmXPJYrZUY*Tc}UQ%_ALs*H)zyc;faa~|qRRpnbvPW~;P zL-wE;7Zy5uU%EX{z-6KI#EGXjX6uK&Zj}R=xDcSkpevuARC``w+YPn28vW@Vq~wvk zc7+q%945=4qp*XmM`G@R>xgoS*68memu&FT70GmLoj(7X>_4H2Tw*_3L#Xe#Wl}^h1+~zNx%miwC&UeHsAgxK_*F}5$h3#KD z#H7VNYRS|LNj@;OP`Ff)tfvaTXs*n z@gxS7{+9(ni2XvlnofU|TR%i#WLZqa@|3MbK*9*bOAU)fgy{3FOGYnci2MrRJ}CUS z^r$5OvA=*I61C?Ps*QOUBJjuRYHPqY%XTDNa#BIRcEdHG2%dHnIr>#o-F2XqdTj3G`B6TtaU1?z5u&yu@rBIaoyZ2V{!|M3O`imT zB*WZ}D`hspL)(!}4tsBdUUCP8CmtCpg3#W1syt=V|&}H zna-8EBz;Y=j*hu~%S8#|$+(Rf?q#oRP01{?YVFpZjV2o_g4V`&itNv#Gv~-Fhg{mb znzL{$U>!ou@a!9g$LeKjg@{{zIf*w3Fg|l`?m3iih&T4SDMJJ>HqV7~-}+U$Rm6qU zHcGD!xu=b6t$SVH!+)PE<}n_K#oPks)?KqLWxOl~A&1sZGQZzi(5+vokT+OiM+lcDH z@$v~nj?WuTEq=P?9G8eEYWurX@d>N}Sv@M{LNA6$+GIsX*#5FaVkL(eLFH%ua(Pi|P=%aY-3ApC)&<0eL4IB?JwSC`@Qe$F3 z4{3H3hXQGMHujfPMn6rRmtEhiVNO$4iaA4ynh1t`C@Np4m>0eHuo=jJwe@eS($W=B~Y{DiId-q6uOx91Gf7*9S`PZcrS?ga{}hGfp}ealcx8Acl1cKDx2P z*i;%R%Rssy9I{LyIU|(I3{!c@b-4O6YHfp)3o{k&Mu@RB)ZI0osRyaIa5 z{iAt7>33E0hk3$iJZ8$rPRhpv9+c5dhZsG+JScrK87Z3$;REkM@A=O?s=vv(=YJOA?+4B{!I}eZ?TMoJ|raL1|{2xUv)>7pY-n8r_W^0?Nxpw zE;qwQdGR+nEiu@J{<%;6;>P%1(2Wrxge?8*hSElPrSF`y7KdWZT3JZK433*C%rCtP z+fV4R^h2uu{&i2bkE9{q0gP|OI4nX~m7<^5vs8_wZ-@13tUwVdfv9Lxo)%-N+adyc zwpLVdvo|n0M@%Fi9_EC+>_^*`!9tO9%LWF-qHa#(Fc~+BFdaC$xpA-yO*nturtO#e z87qQ5i~Wx=BHa3|OYYVLE84YjuHa)1KDu#G_UZ4)PIN3OKKi%#PNnvPAqQ7i*Wvxd z5P=t!W!Eb)1iX?h=ZMffqI>3wrj=9n>N&gdN35nx|izm#F zf^eDQ($B8b(wIuvlCC>id;PN)C)e-|l8w@l?jR zXfA&~3bo|J=M&RkHi%qit|b2M71z5{DrLLuJJW5;zqP;8zn(^X^ng@qf@&`jU~6udC0=d~%-G9dlP@ zN>>hkg!wHnfUYOp?nZ7a%2D@gIA-QQ!ta?Q-)yS40h*7ldLUz-Dx4At__##*96EptX) z0rQy=%p)rN{0{qq-sabWIq3*Y6Is}J%SBB;-TT<>Zafj)dykB52*kxsY);i*1Wb8e zEa1urSn|%^$vH4nc}o)a(=v;tdW?uKN$68XG!#OE<+It=_KVd~vK7x{=CE@Z6){$O zafADp*?aSiveU0YkaX9-Tf=Dyx{aS5p~LV~lBDuLE#5l8v7m2{>!FcB;3IR#g&kV( z8D=&%-KTkXu<4E{6Wrp{&%(l~NH-3?AY!0(zYKa;SeVYItI#{jS!Ve*C^SSUy3Lq; zgxR~D_jJKHLQ~2yO@{%lh#C=XxC?V_;`&>LIgclW7y`UAXAXSdBVW^V{yd#OeXW*A zUG?ih;+7B&0j4NxU#G6C{j}^Q7u3rA?#zfC6Hg8l4fl^!9}LMPtMdmPRP9102a&P` zBrX(TH9E!oOZx-K%4TF?Ceu#&3^|+$$LEVa86QIg@E^meP?^J?DWYchXpYqZsrDhV zkP7r6bEfta4>HoXIyUX1pHzu6=EU#nycN{HC8r+~1clrW{_@GP_2ZTXNHAe$>GSL= zUyL`fd^8_>5JH_Jff2+4C#5^W3Z}EoI^OjvJkWP7>tO^10La^l*HNJ76~9jA*q0tu zRc=zwJ+&0LHF9LY!Sd_=`O_VZPs(w3#OPPD2En#|LQr5Mc*+necHPw zv9NyNJrnj%GK1PHVV=)95lPWjjou4);WBpAOH9jc6$lKt@7HggtTxHQdDuQZpR2IP zeO;d^)8VW$mys^-*Dc=?J@C-d=erMuuPnY1ARgJc3ycu_AeVq4bNXWOD2mx@n7zd5 zY{LW*eU_>Q`r$;vS&}n}b+iCkdmxFdKMHzo8t78$jx}*}>sQ_zd3biTBdSBl$*}Cv z&IPtnxME~0m34$Q=#%R^Y|ht~1mB{H3K2kv>yie`GA*c*AkH{7e-&p+CYJtC!b3Zf z{p=80g60;@t^BePju8zJke=kcwQM8IOgY_48B)DZIkG%Z8v4Y3Aa$TF{|uITS8n6U z+ut)Is+{(CU5}D0<^A+ReiWK2f^)i)H~7syrW!Nl$uo0~9nFm|nBPxmvn9wj*LK|P zWPK_NnIqW+<;l>=(f&qNM?1@7=A-W%GfP=vJ3tumIR{P6A{Ent&Q$)%;p6Q&KI@#q zUV^yB=Po(I$iSFsyHB4!srOhTE-Y)}C3pO%9}AhV3NO3FE%87Lgo%&v^vew_uphXz z56Tjyac4!GT3!t|-E{_qgxa%}wd;at^QKVr`@0&Sn@lf9E)?RtH|^}_2%br39vc2X zo1rH-a5%=!GGiuaJ8RC*F*5y)$YuKiyYH;fWro)=zK0=Sc|Xos-s+4C5$X?=pv@as z3%TjgAPRDpgk=lNW7ZToUVjMJg%u;Q=HrA`4T!rPg#Whj(t+df*Xk-YvFl-ccuc&p zwii2kDTET7qNf3SF=puv8#Etg8&Yqo&ph8R8bF!udK3}VRDFLBg-{1?DK#uq#E#}w zZ&ufHxJlXE_Jt!!x3DW{K1^ys^|Cm-Tb|Aflqy)FXBI~O`f7j~P)`;EEZ+|Qx1tK} zW7bY%Ks|8@&ebuY)m0kFk(wPofM+!F$-%>)p?Z3oNGQ>qh~~KvF~ys$aYXk~=w63( zqt`Kehs6*~l=|!xAi2}>ey1pmQ-;6bi3<@ZmdQ6jS>C4@8A`vb;giGbb;)A?u=@ai z7M?w%->WNU;Qt8WsvDA6ogtJ&+A^5DCh}N;Apr`IuJ;>>MhDcENt(6Xxap{C&-oejohX zh0KTtXOfkL4T}wf>&L4;fA#IrX*X@xW#g$IC#E!21ph_0vXJu}*;;_(<6OpL$Llz@ zEs>gc4Z+iTuGkLj@e{={E4Oao25dhdHINY{-b{)2G$MV~`wLqPH|G!=hFj<1ts~6B zCq>+lGZ=-D)%nL1Y*qw})7NBq9O=re{ymb>~ zTTWetn?jx-UW$Hh-6O?zR4i`0Y)c7I`ir7twe6Hw6O3arPDU7GC_=BS(cX+g#nkBmB{^LRZ>cfEDy{I=@u%_=M{c9^PKT6js+O( zdw;)=zvKMNkD@fG5vYY@N2U0JH8)bM3t*vM@6AccomQ*LoCn??qCk`mo>%zK zp&?vfg`RYt%8kP?&cn^! zV2@i4m;(hM%H$9O%elCYqYzKCj8;L24~>k79O#^nO3CQ^3$VXD=>~O@(-lxX?F;Gz zf3Y&(6Si)0d&>~N_JH1ZQ*fUY6P4BNDqY5e&BXBUGv)`qrzQt?-l4xbR^l;jow8mZ zXogtODu222gCbe*V&&H(Ue~U5uZ}a5t^4QM1dqYg8-R#$yrZ|Fl0@R zCvtZH{f&thHc5_t9qK}aZ}>Y_V~+wiLH|*}aX0;&u6u3soOMsD&4Wj8_32xtRgzh?4vZ&z)7@|>7eVnV{ zo&*JgYjK9W;NFLq+|c(DPovs;B~c`fm~nMIy)?#8MwIX|L2~^gI;*x~#@5GSR>?m6 z*N@%wPRWC(7E-p--5)kZQOxVdE2Z$X2fZ6U?!nMTriBUyl!sVM(xwj}C$mNg@$dvk z#I89g0R`C}^B!=tMNrd5z#|8@r)W7MbKa8?Q*vM;k)Hw|BpN}rW`jt|qi?1h#xip#FZ zixW_`CnqPzM(5fGM88Y-3`?vR+jZAZmkz^J)7i>R~DIte1j`19S$;}5VGKl-j-_fuloc1)1h725f+ELN@LQ^ z1(Pwm!QX7BXI?_0x#KLKPds==QT`CqSegFj@Wv_IZTa^J6S1~oMr8jXLW9}Z7NQtX zY_7{e1b=thj!Y|h)#v5d-~1X%qluszsfUwJ$9?N=22l1hHe&B>0+*Cj+o6xXGp#Pd zb-U-(=V;qs<&*M@+X6G`Eh&k{t+rv$8$K^_KntdV={9o%PD@Wv{^oW3zQSnQ)?s32 z9LBU#BJkoH5Mu`CvKITg!F-O`&KS2RUcGyMk~p^Z_GK+!J&YmeNkIh+sPUgCsKqz8 zaY}h$4ua9WAc4$yguIP33@M!CAP-Xz{Pot#;!`dNWu^dC6Nr`Vk8j`0aj*cfAo`M@ zaI}`#xO&a}`1TCZpY;)cua^$#6zI5!t^EabRQq1*@_2`*b3H}-jH3Em8b$$6a^)is zl|?$`eQ0IWb)@MUKl3ZWPf8{s0@2=17W`H347U1cobQot8M4b*?dg$tZl8<8vIcsa z=TZlx>*)GHlHv^4ZK1*mZ9dc-wYKMs;bDl$?yd*fsh1w>VD`B+U< zJHItUo6~x1$t&PuG^{28zBe4G^n z{uXC?zCn)s(WuPT9CX}(RL0h55ag(Qik#C*ijAAcn zB-~5HdtkGN=_$AanMCUImxmv>)c$h)|8{hB=)I?M@Ev~2`7FRASY>*DzB=o;nk`~L z5orA7s0-HzWoVeK`G-YL=%h>h#Y(=# zRGzxinj0FPda4tMoq^*}<5Ek0zhDzux#lL!_HIPZFXgOG?Z8<@Kl(ofQ&1ooC=C!B zoc88nTq8RM9C3L{;!*>g+Dog~Z(9gHVlDsOJzX1t?@YQ%&D^jwWaTs8e787ZuWjSy z@$HvcA-Cx;@~!XDvA4k4{~gtOFo83$IPFI4)OcoDdO2~vh`6@gg_{&V8 zq|BROYDZmZzc{c>1h`@4ht+Mbr59RkpssbkLE(P<7 zUs$bnLj+ZBl05x)>{iR%?l%)T5R7XdniD2|xd5(1lmvX4q?CfiN($&=U9 zt<^ZTpes~pQroY~J1tu^$t_oj&bvn;3wi&et0uu32h@t5gXwK38A13RSlRbf#2y%m zE5t-9v7$ZI$Dxol1Xv(x40ZUm%yE=PqyAQdhFdkJS9?<_oVqAz z?7U)&_VHiPjGKW;^+(N%M{Az&aC30DG?A{WlJwaUg;&68X2LxH0Zvm0i`hH*RATID zAu+$>hml-0w5H!*O(p#TVoa?jTI`Z9P`~zj?f~nr{1>+NKhE-Yb|ueqGQWbeL-R>0 z(@^wME1xs#A>AyV!O=S>J>O^UEfo5OZuO>HXTD!qfyDL?e~2NQdyKe^f>K-NA4b5{ zAX$QwKDWMSf0^7sxXaZt%gRleUH+kD=3AO~8)0v}`lVtq28nyj@zZkgV9xC9pek_d zkL%OlBTYfeQ+?7IXNFl{1=cwW0-CsKnUO#H7YN-CkuU`vl=RD8bK$g4pei_Xt&7<& zGXvO}@BOoH&*Ofi+b3x%j)Z$61G-USKNVa&EBk-!tf2jsGHLp4vSI{J4NbyzM&N?6 zR*W`Mu6(ovLe2NTnm4-{xwa!Z{!8=#nvFi#h99~tPa%4v@whjbg+NM_>dEV$x30@% zJ`q8gk5U6G<}o+beeznkX%}4G&~aP{epMpc?0DVr(R(+y@hN8;wR?R)amoFpT;Mrh zQ)4f>OF*i2OHoMQ<3ops|MohyS3d{#a$n>Y&d}I}@uu6y(xpneyOdagY%a$uSlsqs z_oqx6zw;alJ%09RHpgx{e|s=P=18UCgg^Ku>sgK1hV=@}>0vI>V7mCG1xxQ<)Ar>~ z?A0OS^}oFXY#&~bR?@H<8~sw|EsARr`5tEOlj*&WqPIcnv4z>AvrkQwy5d4_$T1I$ z^#V6*`a6|nvu+AK#>IH}StBW@W8BmZqeA#+bq2t$>%h6YB;N4uEDZ0CdWwL=9dSy; z&Rdh#SK$Qb0Ei8U|HFBWNOV(8w$Q7e$1rc?O*A+iLcwiaFwU}s<#>Uv63Lw6BPJ3O zh%p{|yJbiEjz^9T!PY$~JUl!$rtc^!VLrpqYe7+`22OPy3h+wF-TmGR(DGPKh}g4S z+z$h;AkV4iuW#Lko44zui~wm)U#z%dQKB!SIwgG=%r6m9jUu{Ba7?XMN`N{d)s{QK zssgKg(8Qtw=h@r!&F4K~AG`8K9twU@C7zZ+LggQ_*m?9D^aF0pPif&ie1Cv@uq#Ak zbUCsfk@3?Bwyj=!$;Of2y2J3k7{SSqc5_{Z|Av%RFc6gVGkpDn{IGf|&=?PbMo(5>ry1(L$*| zIDO~+A0k+|g1l*CKz)piIr=-XvQ+o}8U-#ync~yheQ=T6@SQ))nGNQm#QfeH4i_gH zhQG-nur`b!zgrpBYeLFOtMKUSPr1ZMT7Vme1X%`k3Q}2<7t2Y<~XJVmlG&~zjGU}(C zP{g`3YP;wc?<8bIgmL6S-Rg0VHx9F16jzUxXM~A9*aStkn^qL-^0A z9wxF*TEm+X=0&9gk7d;6+x)m)$0s*_DL75v5DJY}~cLS#YV7t-O9KKSR|ThxqG2_sam z1$ajEO?0HLPv-^F;6LlS2C4hfKW9bgotS2fNPq313H_Z9ej8=8{O|qwFH>+1RVFzc z_1(^r__CK90$^GHb%KK>h&!$)?OFYtX^Z~Z65Y^C7SV+P2-U8pUzfx3Ep)H;V&m)Q5@8IYSbJAdRl;7)=OTn2*9WIfw?ga&rlrPL!{a zWAsk}{RQ-|te2_5J$j$r&`eSgHKqHozFwCfG_$bY^DQi#%1CEq%x_q7Df5jHN zHoY7iBUkxIshKQHr=-)HS{F4Hp0k2_^RUWQV#Z~}HYW3>W(3h)RC=(RSU+^!J#KLh z@GR{g-V6Plg2gH-Dh7{8qW)TqwrwVZ?fijeFccG}-epJWQzRTsCACV07wb8GHp}N2 zf#yE^n$`<2dWH}eSye4T#<+BGV}VO3ts^OoB4=GoWnH?bln*&pAPabj5KlAs5;yof zsSW4~4F1kvZq3^>cTciH3nF7CXVC9asM~i;Vn(s`dkz2g-e*P-t~B3fUf6GGdhtWT zZS8n(d9R!Pa?JYgZ3O+Z7SB2vfMA?#e4a{AHg5O)-bLj*6Fkp$D!9ou`i{_eBmZUU zysug6E0VB_j;o_9ZDa3m&@K`Bb800mItAq+68E@`IDkJHK1UBE!}mWA#I~;|uV1go z;2}~DE=kl!5t)c=C82Rq3zA~u?3nF6e?G4aY0CfH;{ScMdj(;Eo?$d>l^-L9UDfYC zzw!n87qTnYG{f^5KcDN>5@m-#PR=0{T#9>*b(`bXvL%(Sl91ke-Y-k?G?c5Gzn}e0 zSy{T%JvM_G`y)A#f}7IMPjdB9p^7xpP5h^vu2;rEXp| z{Q)m52r1mVjk{5x)cPahbmIMnLMJ_x_G7+qTk?s}2mFb*x|x;fiF+icEGz|&hbAt~ za~z?r*y4&$EA)!^7tGfJ3Rz>(e^I!Jd4!P+9UJR8|IvE@+f%s85}Hd5i^B$|SyaN1CMl*YpH9jL-p?>1&Pn73l!XULOvxZ> zr$&UZ=za61m8X3pP_X+jZv4(T7IjhMp<@01fCAvl=$JX2sZtLe^n{_ z7ZKR^&YF}H%Uk5%DOQG#M%QL!gxV7D>5Z!>pqmuODHmDrQ-UBC zM53>9Vy-TCt}Y2joxqdkU$msA9B|sPp<71Wq+Drg91ZW9n=?-SnV4Ji&lo}jjnk=x zv!a$hWMyT|xMi${uH9c+UhYzqo#=JPit7ayIsz}$-`-wC|30VCG7}vECGFav_vQJ? z%zD6KZEl8Ms(un~Hi3_E2@A1L;MbVcDlR6H+YssLCOEyLS()|xx82~Z$KX}Z{!^O`py3d11 zsrh=(v=RZh%Wa57dBi>&;xJzTwa?Oja#!YEQ0VjT=`+=!J;oy%o?aH~rgZ82?y1$? zEL&D~_RPqUlamt!ZI_+VwXZTad_0^Z&pcWYe=>_em*=PFtP{dm4*B?DN^cA$jhw2A zN|ef8U!4mlCuf>dG?6NpGa$G+n(NGDAZaQ~0jmNN#M#I~#lMW7$uhfuS^_8MobMdq zYn%=xp0%|#8^Xv^<_)s23d7nyg^8Jtz>X*m5#K{c=H0TGaX{9fbeSd-8*_So|2?nN z$vbJ8zZg*{-TC@1UWH!``Mw2Rf49zXBhIKbZGWw?>Ytg6Y#;=~hv?yFb7n4c5qRIdS3K)k&t7{~W&NGZ7!fW@pnZ43H*V)35V<>8Ia=&-Y#h>A_4d+^Nd56z|ErtN&swUXCv zZ|oo5gZIC$uV#QZKYhR$qi#VlT&EjdS9mMwL)VEYo1O~-qW_nO*XpU4{N-rHlAYYL zDclEe3{1`Xl6lAp=LNPuL<`W9+i*xP=)Py)h`j$cCG=4r$f6Fq9&!t4ro! zV+z~pEKm8s7%&$kMvvJd+SN%v;^XAkL_A)J&Or5M{>VzJlrE~P`!c*)3PHiMTMe;= zFtzc!9SVFhcF+)l&uu#13?4h(BH5_vkE8M6h;|#tfS}QM0Ei!E?OHhYWnNdOtFYN# zeeZ)FHf#a*G4W+t6&5~V7sa1$T7ba@Im8hH^iaU^$rdlz&vob+XlhE;nR$bU{Ie)9 zo&hp2C&gvxNc0WQ8zZES+AT63I1;x-xTWsikFGFbLmgTU!e>K*hQXS}P3>>8!dByq z*u_m?W_ds9#FZ^eVFQ?zZ`!h8n?}p}@hiH|&P~dla+Ujl$C<(%PCEeS?b^V=4wi5P zQ(q+(*BrsMnd%Z{yrngFIXhQ&{j)%D9WjoAWF7^)ze3iY0w11PLx6Kl!C=Q88W@Pk zjNsZWYA&Nr<| zahQa_fb0bsfFT261U6{cP~x+f6HI8(LDM+QVldstBzs{M`97$?-W_boxwuqe=9l?` z&4|#!2gLl@m#yg@Vp6`RRIsjMwpxj9vcTBufprFGo&9dT!`)$vOAq8Q~xHV@x*ZnCHMx>KRvwj@~!qF33mIAga5s>u^thxNrZAh<|fCcaD5 ztE0Mbke=|uyvL8@#yXH{>1Q!ABxvs+r zVw1!FXy_#TH5EfeYB;Z?xZGh$3VSMY&F)1)e1EvY;dh%)UC!&{ci0FiQ}_U_i22gO z+83NZBH~Cn+5?)VeY)p`ujd-IBlBZHzjmB^#n&J8w4iKN6fJ_Iz`=4xerAxxg-6SoYi~)v1DvHkwMR{eAfe}TLa&o?<%b@bkWa72qSjG zFigVqkwg#P7Ucs3E(~X-|K!!wFxYCOuHJK|8p#a_4t`ZyiqTI`2`2so0u+K-pjLt~ zBBGSW-SpM;^-6trZ_qt0le)#Ci=rKkYC}d*GWs&|DMWRgv9m1I?_Z z+af3a;S{P`Eg}oNxxr50(1^--u});u#WD+^SGf$Uz$vFCfrV2vO>ksO`}t|cYQw>> zy#8p}n>SRmZcEWA>?TNtM&8)&GuUG4V>NOc0#(>n`>KYW@l5aDF^fM|M>(U-$#Olw zF!pUkmY=`6ZHCyYJugL!1Bbce2>)?ey3D*szKc;k^5y2a;R@(;xSsp_*jDyp|2Daw zk`Z$hnBgIqRFZ=j^Z+uxTGSEHH}H9M?NQVnR?Ni0Q7^X74sc_)?-12P?)5+W+)%V% z#(m6@*m@9C;TfOG*^0#|1+mK=6A~)pUKi z&Fgu@nEm=S8@RAk5DX1u9=THt;Km#GH#Z_pKm|;bO+Xp&JSmB=Y_i^czt^n6V0U=mu-i?o7xdZTbL6ybCS| zOB0rml1l9|R^V7GFgF05R7>Xc_mA?Hwf1vxyZ9^6I(s6c+SFoC8VRPXP#)EybWZK< zy8%wB3|vxcR0q1tv-dAS_Z))^l5dqC_oNgpvM6j1(C=)u3lN2hadvUd5Qq%AanAn$ z5OK^nvcgwg`MRK3@}sh^D7;~3=YuE^V=H#-;vJ<%tXCO^6<5t+9z73K2gud+et^1* zOX9>D;aH&{&v6_)QX~HFCizmr+O$U;3HY~UqOO+JLCJYx4Z7VlwRkGL#XQi*qxHR9tZFE?7HH} z-42GND=XcZ4y!-=(1>0U3Sz}2Zk_5ieDG|%%)=}J7D4`ci zVc81$4h+uR5}sCxwDWvsWobWsSte{VN<;No>FAq+)M>`bAMNVDZa&x!ibtz2L|H2U zB3wi^-=3Lo?G(TdoNsr{nG3Z#j}n(ym$_ztG#=(Bsc+Knsov;K4wLt82AUc=UC-cl zD_yhyn-(Op;-RC`7*Zp2hS@t24;wbVfU_LZI7SgtQm2L%WBItXE}Ib*6`Vn#p_H_= zofmo<8XD((ueH6wAbcq>!>*U@YH>9xK+-=+$I#F)EBkFpYwR1Ie}JCr;Uf~xwf4yAYiK%YVYJ3 zooPL6QPs4da3y%9HS_LB3c_7JVSZq_aGmg-8d?Vl^#O%9R3DxT-%`P2HaJaB^x>%i z%C=8NWwATUv_u8+qHed-fBX-_pMjc8Z1OqQ=pk58F>(F%SEz1|OB`7|yJHOzb}yy4toZ)JaUi3!zrH-CWMkVU%6;^>%Kr0x$`wO? zX*FsJ3iu3uXLy_5fq`qOAl7q2q%J%r%^)ysl(6iD_w1OJwKXHSGfF8jCxL=n4^LW5 z-PoF{7R4%*n;x(F{qrz1yFjswVKyLvof2XD_$JcHRx5zjjN(iO0#s*+&z@wqo7E+M z4lJ^JrSljbv>(gv>NLF|;f*_|oB5x5vmOkWNO7%qssbfL9G1TMp=(urRNpPDIE*<& zju4@!E5tzRV#MKdV#c{oAXXsr2*qZXQ+~)9P&6%L5&oW*CekvjcPRd!^l=d^3VKB0 zA1Xl;m-1UJ7%!jzVN~95{LzgwoseWBp!8z%HgWZBW^i6O zMON=cYHCDW9ER@7NV(A}n&9~?$7HE3<^62UY#U3uT2#AGU19|N#{+Bx!_+s+K5u2z zM?^-l`CfTZCcHL?Dn1&?ysF?ne5)M�k6gHQ-k51K*a@xhzB?YY5S+%IePi%n{AK{2o?58#G%&);sa9hN5jl331@; zpxPhYNP4Q7+9T3k75Sfq)4OVs?7Tj-n;;4UXB__ZRQMoKMMcyYQjr)i+9vgzfz3>n zB)B*ynyd%_c#`9QFH8}y(1`hi99R2a0q4sh$?+^y&MPkN0M~Ii07VJ5P88;+6Oq?} zmF7d)!cTOM2y-N~>U?kgptqDrDkQYYzs=^Pagh>6zM7K)F}KHLeGn1$Y8ciKrOcw{ z+WIHzNkZsMS{1EK-72g;gBAMgIcJprB}o^_;SgH|A#Y*WGa$M7rP0jpc*p7kdkXwK zSxWnfu+Bl|a`7D(bs^+?@E5M<0I*H!q(lo7Cn!4A6(=2=MdH1*gWkf$aF+Vd%S(`% zBeK@Inzm>b_UVKJVkIYYcLeY0=RaBq^}K=E#nDw7sZ0JSARY9NrOHBY5-O!_!+%+K#7bO+hn zWTvsvo1nF7NuN}IF8?ofm1tfC&%Mw0=m{Oz8yQIB^fmo_8J^6ie5Ef*Vk!&0Zq0U({@x(7>4Dp-Wl^SlE%@hYe|`a<-25Wd@+`BxQWT@UJC)*@Sp(~Ch_x>m=xgy zF_d*5otu?8mj4q{E}jDl>&nB-I2rt4AU3ahEh#d$NUV3KOP1ajj9$VcD1YTzM3P+P z#Nx)7-!|d~{j}+&rw`n1`D2Yd<&yI3xjsol1^fk`H-!K5nt~>0IC4*6+%Kc6?&TX^5ZLPcNuxYaQe05 z^_n{=)heog`k6lnx&}lU3{^X)+6N$jmLh7mV=;W3|1`I)0Y(TY^ts)j^q9>Glk@jh zNozQ~IIah^7m$#$4{b>uXZlU-*cboeiMMt>$Qgz~5z z-i`jO8kF{?O6X=TNBLuzEu@CsP}wY=e}A{9s?lIPga+kBG|~CoxWxE7jeoM4e+OBd zO2uJnth_)EAeb{7IlFPT50UfO;nwm6pKeeHV(PI=MI z1T)E`uPrH{QYLCMAaCs$Xnim$&=65i8uM=cPb6zm%ql#isv@0=a;{-$fp&p&JL1~L z^|+`T;1;FqfWx)8D3GWiJdnd5Ch8@#sDAp8A@#x$2uQI#s!79M+(CaOeeNS{E%xMh zvlWI5IcfY&rb^OQo)+?P$SZw*3(x8}*cW?6e64(!oA1!pF$rR1tAA_A0I@aTn`u4+ zc&e9}ysAEsNbaUE8)@!W1%U?BbAST|?XSVzS9*2V^d}xX=g|lp zDfi2+!o>?~c=WE7Imh);^S?*|;GzEdi>eWLl`GN3HsZ*g&qtEHDk{Gt1@ z8!-b+@Cw^@_wIvQPyF~qn1(`KF8Q-L{#c82Q63>|4a{FcOR;>poF=?Kajj=2KH{fU0V9*uQwTE1cO`2coJxIN+{(|hq zkTsX`R6!0cvv^z&D$z^Mc$w|o$0nhL4k)v#+L;#hz+T#*tJkYEv<#we`G9BR1 zJu)hKcB2|CHKZzj^K$6%)c-aT6`<*b_dbq`6BWMGXDBOiqh;3SjjejP$yPDLl_X=p z=~218pdj-u4d#u5ZjcW&XWjkOG)DKmoZz<<>d;>oKC8d?ucs=?H|ub+>LE7^u2D-G z;)K;;hsqMHAWB{fNCP^cj<#Gz6)Il%dlmp#F@I>`^gbL21LE$7^a`cJ-=gIkN911P zkBAoKX=0jd!siaCE`p+V_wY(tv9_z*;+Txdf~r;Pnlj3IL^F5%ueJQ>Rit9W^(!CU zoiPp47l<|eeDDHEBD9kNWDHDdR$NK-f}NEh32(5982(a}_Pbvs?+Ux$*yj-n1bJL$ zOAu!yR5&cAOg7pyknmpu=tKnG8EjRR-C3{dR=a^5?WylE>w|e&3_LnlITygUX=D0( z|InE_@;)fX53ECJ(`h3Wug9e>ltgA=2?ht~=>3H{tBi(L@Z>hc z-+ZnUP}*E)R;~{GMIIj3tp37O@}=jJl#-njX=IpG!eing)CPCOM3G+y0w3F)pMJdC za&(KXKsbB`p|3dw4jYq*1mBG~{^P$!0KSHk1o0OW8`FBkpT*(pSFsA~I|2O;bFBHR z1RS)=QJYu~F5}B!KZEfN5~GImWs`};XuqXoutONz;}wKK)_BkWKf1Wn2?VHcTL&+QP{)RmR>!uJ*7V-_3FkMHJaFZ-1wDQ zA>+Rm0L$8Lu-aI9rKM6mt$O$kjZx^A*VwG}oreTNO9)QY63}0c5UsqZpvYB@Uex)e zSM7oG7H9FcXF;XEE01R7DB;7U1=LCamcX0CJW3n-Arc8s#*nqs^NFT*MB+#4%Ft(0 z<#@q*jqzl?EOwDm;30N!{l#hbnAj%wrJU#L+C+OvuAsH;&eA=2=g*(|`3Et0VI+}(nn6-HQq|0!hp=NYQW>TL!K^!h z)FGjf;#e~=_go7}1$vV=VHZ;03F1m=lvOKVGb z4IXLy!{PXM&@3_{AXgm3z1(}MM44x9@G`-wejlJ1!EsAiT< z`Bu+VkYPY&4MP#mq2B9nqXt1i7568qgxH3$0^T|khocP<-^^ELSN#FOZvIe(#P2iD zFYuE(#P6m&ds_Wm_^FrUx7xFRHWyVXt0t`Ft{8uA{KXKHa+a@Q#1g&7f&>hTQS4ZP z-<4&62rEZsv~=NBmYpp}a5*?gq_%^MD=eq-4Tw}XDHb~+?u;Ep7Xykiqb#flhLHtB12)1RxselqQVt~T%N=du>pUODVH$#V& z?7YU`oNZ?ELI8!P88EMVWmU@fmqG*Q26n#E#!}|mTNS;{@Sq~6D0eq5eu@{YDAz!g zsIod*KA4t64p7U8y;=cq8&rkGCF1QA9Cui1=&$f}F#6H_wOmwv(f~c-f%74qe_t=s zG=H6U=pEJp@FvI@Z-(EU9or;2{|zX>Ar^TcpYoMqj4kkJc+ZHcCG9>9hFS%IH#9mX z!^6jGafNj4K91GKVK8(0K>NVC3X5n@%}93K3KXulY)Ra5mw9>HE^nPl{DT<4;mh>w zBK4$8sUiZ#SuB6&s&@UpA{m?&Usvs4IS_QzkPtyd7GBLQWc5f5Cd+&uDiXkrxmjGQ zs>2N5BIcLI9a&W$c9GBklgPh`Q2-(HZiWiW|5y`Ykmy*=$fRCiZC(h_6Z(sKZJ3U>Wh} z$6udXlx;GRR77{Cp$c)=e5UbqOI|IbxOM14yiyQ{z7S6`u|A%xP`0$-A;_X36c5~U zP_~U54Tn|RCEJb825Sgrsc#mE-zUnK9bXwFroed`HXe^U{PI6wRY~WzJPAk9P>otjL*H#u4T>z6!B_4ggSgkA<3Gw6H-Eh$aI~D}PZ_R3XW>W-@Wt&&lrTS`}qRkd|rvoKtr+nIY#otY2p#A)W#0&t>Sj=xR*W8^Kk8lgMxqd^TUY@Lyh{% zLoS7VS{83HdhP@6;TI0%QX>e2RYZI)67Th2DZzTBqK*{JtC#ra!mZ^S6PUP!fit1K z?O-NE8aDjlpSdTZka~({hmpD|yA&&&JB7AR3Z(9%5jdvFq;q>gm5p(R*ZC6&G$2Ub zyr~M~bfd-fy{}f?td<<<3i$oYZqgb&`ZNc~5S#RlF#reY`~$Gv)e{cyxsdd6>Vk1I zB=@Ub8ivXxdv0vT_x_J->?AeU?5`HSV?9@tDBTbzdZ6i!Vo=mJ^xoT-5<&!W_ZNz3 zcderSpM7{J8T?0F=`#BfWN_YQUhvus%~Ktd{N}f-?#F+eyn}L)4gonfN_3S(HhRL% zuj=tH^fBJ#wjElzeVAhac!%*)uP1e2eJC+_HC6TT7+o~7leTs*S*=d02a9a%f+|of zg2u;!pb&2VL-zv4hm%%x%q*OSpR{f(O3!p1`Ond7{7=sSh#ZZUrAzx$v0(%RS|+bw z5|dW8N}8<{v;!xe*r?9!ajeo$+y%9UA6w0j(JyS7>t=9rVjiLe#^ z^;r~$#|j)H&3R2%=-Y{NVLpp}SfZfjp#X@_*oSKp;FW!;cdn{VPux}w)2oN2lw|8j zCyr|Fd@iEA9MhhnhWC;5voM%nIKpe3KBlL*PYIYQA(?IdPiJWKxKVm@ba(#C)d^GC ze>re4#x3MnBR|I9Mksu?2l&6PZ!S#5-`y!a+K&$ntn%f4LLyVYXDp&+|+ej1bVDYXc2p^@?RlhJ=fUpv55ss=$GZ3}}*YKIz|I{Xh?1 z*=O$qSM0ncb233;BMw}6>-T|TVKq4nRZ`1ZK&UpeKnJZh0qQsCY2gCwPt=_|=&$v@ z=mRt|&9ae*31bsgm%aSZt5`%ep3nn+^QO_cas}SSG{PhNpYZOFyNCG^!JAp-Gu@7B zP`5&CsUn^aOU#v52wDVOE))5rI?DI-n3Pg(+v0J9pOJUvK8#Beo&l%Tt+o7IhKLJg z_Kv@#&hv03Zxv+zeT~HgKO?8opII=YXWwa%1HMM!I2HRj|1gKH+S4S6f!clL39yx% z^l;2d^=5A)3*Rxf0l=ZZ;nxl1XqJ!CMn6Cy_W)L+NW{|z_014@4t7q?LhMyIeFPfD zJD$fb|6%+5z{Imdz0Y~@pm2)h8fOu7hLV#P#oVRf&hMy6W678 zhpt9f9cIm8dp8AgG~>UL-e2XOgUI~NNvTY5o!|5u63)4`&>Fvg$PPM<_`19vPqwia zy5BiMaiN zWUtip8i{d+f8bL)M#OGl&X=UGc}JZO3=XuF-&jk90CGe)LwpKQs^}2EVo+-ghBXg zL4GO^tokdw)udMTo)x=c`ndDpmE(|5V@ajKXt{gf!yf{zKRV6k0mR1>j}3fxnL&5L z0AgS=p3cY4NO*~bkaiFUY(&d()m&sd_?OB64ABCPQ?|K7Q*Tq$qWY4))7jg$A0khiv@aY_RM8rec0W-sqXV zJeV!)$m3tsryf?=;zn$3o)M7$WDcJXGOE8z{OOvFl=gd0h)H&OVYqb*lAa99J5f=g zaYLJg3tU;Le;ygAP7ryeZd;{c#8z$2oR(GkTcu|3KYjFlE+w6x)?VOCZW0i-> z-Ke__hA>dfdX#|g{}Waz7Dd3RVx+PmIWPy#mkUYGG1>sJEF&7jTD{t8h_ATrnt(z6 z=X1hG+_=?wO8o=5@j6i~Xc7?y=dGcuQyB4~B8)~q`$3WX_|=CLiv+}lYEKtD#$H7- zD>t*rO~%@~w<19kpPoiKg>=IDFa*z)fVu?q@IkLXoQL~@7>Km&#hYgA&88c|00%j0 zn&*uPmHUw&Kpl90e)ld)83mHUK#EoN?ky9uG5X&Q_`?&Stnj({a%E$3%a#40yf~gz zN^g1)2*|-c)5~`+jRp(a{BEqr_x{|;9cg%6vrnb>R=w-%4iziH!`j-(U0*nB_*OjO z{>Q~ipkPma0guLf&BG65S#$=>StsA(AO^zld6r;V2$Pz@EIjoOr?-G6>5k6KQERUO z`fD>Uk)R6eu~O6m7fkaGi15PuS)eO19XSyjVXL~Pvf3@N;h@Pb{!cg+9l_G))Z@2< zHR>{gU%V@1mUePu1cI%~?11P>L5onja=Vdvib`hK_K8WuItIN9Cnx}tNn{2YC-Ns) zgg^OfPh{$dj6FWY+onwhwG-V~fs*Rktj|Lz7YV30K6;8+e+Wr6=mQ?zmR8IR?svz6 z$sL5J%b;eK{rcYr&mD9!cWIvMkR3^KM*^8REMOwkr=j}<9}N-1#Cz|DM)|2YAJmcw z{DuC&tI6n~quRWoKv7oaaxG^}sv8R?9YL*#V@Q%-kG|720&P6jcFB(0l6qr^KR551 z0>(L|)EGFd6ac~n-j^}R5%p_Ep&RUr|38^PIHfiI5%VP>W$3?%Q{=wjqQzE|4mcdB0m}FQq@{ ziJQK*csecgO+UQtKl~7ELql&+nwIovnb>sr2Dj1ffs#ZX9AB{PSOpb@s^xJ<4XWjj zxj(5t=48RfIh7pyT3&65?H;CQ(DXH^0c{fufsD6*>eEUbt}ZPN@W4f&j} z3BKM9%Sik%{}1PXWu7Os}{Sj;_d7nK$4=l?t}>?&1jGm;arW$sRx_hg!_-N{svJ zh}IkVq!3l6WfmSLll8hXK1l?t4miu_`;EK81@D;O2hq72XzyhJG-2zP^!P2_$s zfjn4^ZR*z?e%CP=>9(aieo}VPQbHJ(En1(S|UBX zogEOdfMkstR5ds()Jgv3p`w@2L5Jg|jL6-gnCfUzce%4m0t=wp_{RxSpuOIksw2d2 zBdss$^63m3&6vefwqN8+0qY~hoK&mFwzKg-yDfiYV4wV1pKkBu8yYw+oeLu5;0K^y z^Npc?QS$1;1s$wGIfF0&n{pFv6{Pu}wf85Zv9DS|*^@s4&D1K&H2ds5-d1tS!8-AB z+_$bM2+o8NDLWs?XtIibKKBWSKe*daZY7xa6&1R6UvONc`(#7RX#x7L?itLmQs z)CqaUJZ$tB^=UT1LL>zc@B;a;ZmyT;;>Ib5n^_OTiRD6P7)m5JX83S|)F4Kd3*V+ZGjX((u&iu>Z;G z;PJ#n*C@Qj%C4M2JJ{D{tN0mNFYz64@)Xnj5xiAl@Qx%<9chfo&RV|>PiHm8%WgAF z8>Qi5hVRR0o;MOG1zN)-d~>uAb=@pjt=T#GW+g`Q^1s4u4{Q*XLV5$Zk_fDE_lnFJ z7-5{RTPzW4>sgc4%*(@KE&N}g2I&0(>Inlo3An?zdzYCFmx!l}$*mDBa04J&u6U!hsrp?Vtf%5;Ah>E%& z%5LzchJ!|N+3F;BI-e_o4aE%k+a7yB#B`)0(}Lqfs)~kbgugI|e=RgUFHcIfg}*-I zl)Ybb+it^^2zF>+vf6sKNeiEay~FfUE)tLFyX&jsKTQFsCA_0v-Pi$3vAE#0vpN2# z_u)i8;5Muj63KdbTx9}S7wjK1fy5$ARmy2aB0ST8lAf%r=zD{*2nQ6O6kd}7`QVqm zWAPsz`3TrT1a8t3tj(gXTPlyX+nSXu%!#oy7w$P{{EgXQWjTp{6vdui)w1X{mtCgV zxB~2qNS9cl`p>8#OOyQfICG|U9!UQTmhg$q;Um;;zB6ejf@U@0*0Q1VoD3fw#Gf%> z`ixDGAa;D0SNb`$0K}X{tY1~=tW%asER}?WrClxk)(R%Wef3IQ`roCsqQU(KmGolj z59XABECxRFhKfmj+3q&)L-)HAhmE&XLWTWOcDVf)*baf_CJaU)m4VqSbb?RxC0Pif z1%|iE@UHo9JwzY-PtO{2hshrqe_&~+`(_e`^;_98=fVw`z)cEJA`Z?aWiqma{wMDs z3*7nBzakN68;)wfYq|Q8p_&wm|G?=xMu>A08ccV{%P{?xMP4PW#k>jlc70_2@30FW z*bL~M-C|q}|F-}}HM8K}Px-Z^t(Jn?8WT_hBd{yn%nHVsTon&Dh| z_vAlF3iO*l;s#F|OHS%!9`nHf;oI=C42S2-+AXLD%noyxlO8W~*buN*B!(Vv zQgZb*IJ7?-?}1*t$*~8>SDRCW-Ikb>HzlN=@ExNe+LXh{z;-Uv=(*gXB0sV z?kS2lKg2kCt@Tp$y8T%W893y(nfNqEFo_>&bNwS>~ZgYIwY$H3Pns$sjf6NX^w4`}||usT2V#`MpkEG552 zmd81|m$GFFl&CMtAmL#|I> zy-(?xSsI`6&T?Zcrmc;+qFfCT=z10P z6?OQPaR0k);GAw>Fd>-B!*##3FyIiJ@4jzdz_e{a={R9aoo*wvQMF-Y?9Q#B|P%8Ii6QytnV! zbvhn498)urZD89Zp;@QT4D;5e8O(YRCJdz-|@ww_c|CXtAWY#5_2l-I`9J zdB^m}BVb>cKZWo76szw&zdGr*h})yf7tSO$s641Cv)}0THYHnX)vXMQnfbwu0)Mw0=BDaKiyPwW zijPZYm+Blox84G1mH>0I>*ebq%0@fy{4uUyRV+AXp!DRq;pvg&iS@*z^=+~IjK@l4D@kn_xdkXZmg(h?t4bGC0x;?AzR`43vVX& zUCY{dj2H7cMtAAbmM`dSxmGQ?#Vl>da8IuCl8ku%*{o~8ou~NDkpe4l6#=y@vHTe5 z3M^8CL8e@)yt`_mY>2eqM?(80Lzemao)N(xtN&xhI%;-7MVXH)}&3& zh?~bilbn`Xq?gNS!_$H93yIo#_5qbU_E=zO zP{T~jAr~b`{M7L-$iJ5D#;y_g$G<)@4)FX;<7@JnsZshf%Y&!rZ)*0lPdILtmm1et zzwiw$EYxOc5vBV`zq=>v2a)lEJc<{U{-EeW;wz~uc#;ynyV8@ac3C`I^>s@oiM8Ez z)X=8U>!Hu#kjmas_=J=MH-nI(S7Qr)Smg$~Hn#SF97pD}6A(&kB5b4&*u`3JpV_Ce5^p)T(XPt<`;ZYAPco|2#c9 zCcv`Ds;nc&3Ja+@9W)je^08<@$+BgtxGxZ&{UMgG;LM+_o^Q!)!}s;4Bdr6$46HhiP0pNMXuTA=~Ro$|S_hZA`(}?BDoi4akxfw_b|H@@h`P9oeYe zm&^0cRHw8r@4Ud)jGM&o8c)1|7zaMhIMB)67xs3^8$$b4g4Nfw*$xW=Nj{QWx~FwY zQmlOlM|+{lXxRQAHE(c_zkMfKIAe^xzP_0_F5f2(F}#P8Mylz-X4z#&{6c5u8-1h|HAME{`E0)SE3(`QIar^_F=qb@OuAqF4$QIGW(rb&%O5Z zYYKeD2bVd)nH<^iBF_YU#qRdE-vb_ylh%CBB@j)wkvlx7N?Xm;pw(EhXZ7fr3Ss3P zm*zol(Taf$Zx@ZG^?8?x+?lPc8Hwsm{<(!p5u+D>S4D=54_e_`{VBfovi~41bCfh` zYrgcW8UCmIPto9iM9QnlNO_n()n+US`1M0HV$H;{LpHcR79r6*B6IhsYjF2I;_5w5 zT~Q7J#VZE~RTCXfBBOqydF?(fZm4sWD;jplS}6bKGBNVj^S<|XiQxJIS`LCBecJ*D z3LWPr=1HlkDfdHkBROu=q@SKG(@X@RgYI{Di!xYR^~+8gyNv~_NCkZQ3YI5vslzV* z2BJcOXd)t1uR>5)k#rGYR^7Ru{ z+VusYf+qU))p;ua-VO3ir`srp;>W_)ZMCs?EUx3QYq&SEv?`ufcxwhXkUo)`2^}#1 z^)$eWn&lzZO&0l^a<@p|)v++r5{bC52Y9R3scEwC$X2m*M(L=1LPg$+TVA%J<>ESf zJhgxRJA~rG4|ySPtZ%NzD-)viaCnl$?-y~28{SJrRmk=4?eBT6FE+@Kyi`F+fo8?7 z(Nb^u#^%ABGCE)e3B0 zRbLsB=`%ma`H1gRF-`27(Tj+b5HhHiW~1iTb!%Y!C8I+6javrTW*v6GycPVLt)yQj zC!>kbXUuIrU8uF|F-x8^3Zmdsc^9uo4TrTu=#L#Oy}Wu(;y{wEqgErQ<795a)?jdkf>A0qk2!pL7{R!sim*QG>%-f`gQ2| zT2@K-VzLH@1-WIm@CkuS&1)4+Cw^II+pu@}B(%*|)j++)OB!bdFH{U8N7bA9IDggQ z{K1xutJVj_-_FJ=1dJ+;q<={W`If;FH5ZsW78KnVCJh#(J*=5+-*hr@`?A@c!+JBF z=&M%R_2a#p!EE^%W8nL4;mv88jT9_t3I=`2EZrHVmVN_FO=^3WugDc8njg4kM>Ufl z8F+Sn4t)BmW{R&k=W~FQQ*cJDCE@qC9D*s_F1E6HU(as#`&@FAR6H(D<4}Hj6YhnX za1VznK4brGmFf6`a$fv1Xwxbkq>CuWY*d#ZWzD@A0vL_eA+a5Y_}KVKEgksr_YYyEv>3% zlhk`qn5Wve4dSX>oSzc<`InZ?KJiK&CA{GC@hbt1hh-fXX~&Z7dehbrl+E(38HaCK zqg*`UNG;!^qd&6eevsJGYHZ@fP1ANGA6jUxKM(5oT0ptxam2uDjX5)xGacr? znUGZnvcu}~WOt&j55Hse_(yx5yde7|E517!9JQZ@EnbLOek)#hAN^83EP*6$Ly0X6Q&hez`J zALWPVXTN*BDJznE_5A6`EK65>}|kuS=N02I2$Q^@iugH%`T(!y=sl$rdbPd|0V--$lPMr!SlkLZL&xbWuUC9P!*O6WSYx*K2Z zs>;h^d4h_T!A{P3uLr#GJdORNpt`5WK-(iT_<&T6&+}Xh2??`ExkFIA?+Bk}(23({ zUAI_YG)v+8y)`rGW~5w{8|Zanq&ql1`h>fGM3ZzyGPl*a!dd`dCNN5**q=6eyde=-J*yy#`_5Z>|XmW`L|o6ECPnZ_v3CQl;gwwOb{ zm^9m&u^IYILbwzqboV#5O&qFyyQ|&hTXJ6;seQjGkmnh)LR&{I1!dKYQB{0p)aG)L zt2XyN$IQxSy4Zi&Clv=AQfs}VD><~ztdA$dEOOpL<4a{wKxuoOnKc_C)m{G)#m?nC zbRRleW|HS7%LU6sMAw1OZWWv)Ik(Qqa;HE#ly8W&sKpA>YV}ReEKs_ZT-3UMIMV1o zyhTaDDrCz^uCA&S^Ty)rvQVM>;6;?~8g@_r;KB$cVa57dJ>yMpZ!ATsoYqp7LJit9 zJXEAMj4bgTv>Dq1PN&Rb^$m96PP2b78wN7`&ih&Csq@Wp5;MCQlVh`Yj*OWdS6*-S zWSkAI6{fEIh53xwlQ)EGbkNd0m6@yb;tEkRALFyQc#S=IPDK4oM^L42$^EyvIzqBf z(I#EQR_|#+Xf)nmBEf0-s$ zzzr`%PSxr%ZfEXK@}Ze=u1bwtUg;Z#tgHmgNIi*Z`CAF7xYa0_!Q@s1Uu3JEWOnI3 zte$>xl)O<@`n!P2lURJEMjB^?j}|T>K=ynr3cYuMK1ol1X`73Z80_qIC5j zZSMr&JR2RRr!&KK%Z-%_F6B3C(3WTb?#03g!=oDQIa@qncK5kfe%n~2nv^_yZ?jKw z@1bIbQ%D_!8Y+2;CMuayXZDxUdHZUoYS)wvg9dS>8k27J8oPZwdKM_3ons6&n&a)= z*%pE0qqszez+Z0(wy}e3@#y`5y(cM2uc3%=+f~Q7YF-^b)3Kz=7RQKX@*NTB-jn;T3^qy(mTVI(q zFAta_ACrt+a`zbjorDo(Z(KnL(VOlUX`v*o^&|}EKixg`<`v8E6KnrZ$WSw~%@)`S(+z56oFo{)ph_1t4YM$)m(M7~$I_UeeP z+Yu{rbKiQFlv!f}BYFmn!l4?KtMg#)DM1rqD%tYY`_BAT#@9~utMU(UX;8+e zhH7FT4Gbtz-oFodf{WKp>a~KVp{|RG87xMC5P5^7khm)nuRgMBU<}9huYrmN`OS0= zqnEOzj(JP>rzc&~D$5vIMS8i_N`2Q#r96y&LiY*zQ_)1xvnTs2^5K{fVw@{S4%s$V zb4NbbGpar6Ic+Rpb|sJ9F-elEvQ2U<%iU)^bHp^**8bXRWlB{5NF@wE@70Yax-b6= z2H?S++?jkkqdt&ky(8jteExJ?p+yjs!R3yQZ?fo~u>)IvI5RWCaJahuCbvNAF-{d{ zh0>PhPF)P0!Yu=Ju9!EitkI<8ImYLTbTiJ%p(Vzdu_nLEb!Yg_@95p)TBP=@k5f<# z;1cPhdJeGt$gC|+Eo-ik(Up8}CTv9E1W`|+E-%OVB||U1x8*MLkP0yfdC!@qe(+_f zW^Poucrm4GNilODo(kh8JmoFKO3TZQufhE8mJ{pc$0OKS-2Uu3^%M|CLZi!Y8k9P_ z5xmphi04?n{Uj79;y087-H#&3NZ?&dd80jv&Mp2#F_~r>jK0p+RX4JNBTC8}0{V!} z%-VgB5F=WvCwEm-^~mJ!6?{EL~ER_E$wov5N?6yQ*AOzW~0cUFK-Gor}ao1Dy` zA*IdL18J_Wb#ir*`%uZm{@mE)-2vYF@X zShj4=--jo$RAeO1<+^l{aM-x(^l0RIKe;v5KN<&u3)x%u=h#IFoxkdJQ8~=gON?h@ z(}t{lC`m-Ui3t(I&kQ++KOWuj&9B)_sNkuNh-fWlIiJONNWdO!!6>VCqFgmr`&r<# zVA(;Bs&7E|BXY(%kM zMhBEq)#ueyVWn8W7wPov?Ki}B&2!kv%Iem5*|d>%vnP(TQ8GE^q;>3r=WLI=5fJe1 zQT3+t3>+nb=YA?dZ-GY3pilLfwLykr-|)iRrq`S7(wQVZS|U8=gn)GIRU4(S*2gFa zVkyME?{B(qk-hYs@%FL(_0BgC-;ns5Up;?R>dlB7Ahg@z!sqtA9YYkuFAw^EbbWPH zlE{^l0yjy!hp1Zs7Ol;DUu=*(v5<2BOwwJ%FrPagEZ12B_Pt>9rr=S z?|0X_cP-ca;}XW_J>|ASycPNt zciLs%wqmL71Ps*qz_Ah6lfDIh@?Zq1A%wQ28R#T8?VTzFC8l#j(yj|}2>oeIBdyh9TQ8Stwmc~J4@f=c z!9f(wdduY`{4X!W;NqtdJVffqp?DGNsP2!tWF$Tf#Kld>azv(C!H9MRe0rR|`*InO zTY9UpW-)ez4>C_>7FJiHj+Y|}^2X*>h^yY42AF1Byw2gIzbNH6RO@#UoxFRF6- z+iDL6QW-?u1w3>f=xXpv*1@w}70Z$VpG0WJ*wTDdcemO=KncTflbunZnT^dPT9lGn<6SK*RtDi(4kIy1v z(Ql0TkzSkNi7S#~I(b9Quv8+;G3 zoSfnaKTHr!4bMb&eLeYCowcc5l8iOT{Zug8`^9L3(zhyCfh;f}bkeJ1D$60iEkoA; z>fjC=rSet7_Nh6P?A1Ja^lK-)`Uvf?In}bc+P1QZTrsfxJjQ~t#nd;|xAbO#QR`s= z(4BieCSBwum=6hL=ro8vW3>7Kp)e+j#EF=YP*Fke)1v|#`!I+(MLX4;yG-6@ev^gl zaVx308sp1Kl7bbkpF-eQ+28sP2d44d=XyWAfm6khD zu9IRo*ZEv}J7P-V=Tql~-?sCOV0yKT_S*e~luZUSANHp8Ie!?miGRxbKVioR!tQ!w z%PThQeh$Wyr=6e&ckmdEx|}t`=C{bEbHjNYpxPJYFOtCFIl8Y1f$*HH@|jYQxXu#6 zOG7^lz7dp}4WtyKX&CIPHF))`V|h`V?LuOp_PgW`l^`@Ln@h5qZdvm*>=I6M%zj6d zi2JSq6aS+^8wLTdhkCS%$&6NhsV=9-9S2sUZdC7i9^tB4Vc-mq|C$Tto# z&)PkOK6=~d*)NYb^XwGE;P8>}RiIXcN#hN91jH4weWE6;uu8aYJ??(cH?s49gfp~e z#u9gH*_+-UIgdb=*?tOr*87igu^=!i?6R~7&)Ru#k}Vk%j%>FRIU=id^|IjCoFqA0 z+ai~!cq8@V3hmvQcl-w64?-wTBXoDXmNmGFJea_bGF+~Nxpmj9sOUYP?ZdNh)xqhpmZ}|YuvQ_rBM9dF~HsASDK>S=_4gI<%+s4P!3CBlA(@pct)4P z%WIhm>4w--e)1~CSu!b9YuMf&0+;oJ4i!njf?lfaeQJN?h#k{=i@momc=vV{=jJ^B zq1`kn3_fhglbEkGGyTTGTPo+e6*AsbmJ!*F* zJ?iY*h(meXI!GDQi5V5k)U2Db9S0mU4$d;ZSc0eU=ixD~*C#bmac3cnozanB%NQ#M8ZZ z+!#Pr=nh^4l-^%ncWYm8*mIfHBI0m#>Fi#4XPv$~&1viRr`Dj10KkPOcgZ6_Shr(H z^Jv}9GX+rQF`N zwG}r;i8!|odbqs_*~^1=dRX9;1e7IOBlWu!IPpKZ{lL+=Y4MRcCdklV1<8CMe`q$U zfWN07_e=iL?&`}GhiSB@<=T_y#rKvbWJ`cNERsP!+d$*#zZZ>zT4o6yUrNXgiUCEPU#hi$T2s|$T zt=$g)a=Xmu0#2Fam4CCdlsn##4w^F*#%<(}d^DwSX}DpVFx>qpc0c9%Wvgr$_hmaV z_{{@6BWO5RQ@IT>ojA|WRfC%aTJs$EFK~vKm)PWxrcJV$L2gF*4*JG(2HFFWKt78aUiFE z-&>3R&1K`VGrI``mx5MS=VR=xk_oqW+82kP&2+`)XVt)_vA3F;@%txJd7bJW$3LaN zh%lJXH1nmi_VSmUIE_Dgt&u;=g%@ns?42~?W0JV@mgw$NVQ^c zZ(^L)RwA%0oI9F!38E4sS+_#sS}B>a_4Lb>ZnMcyQ~kRxxg;nLk`GE1;-AE)KPS=M zbwX`-65_>@E1`_|2F1%tvc@ZdO!1VvBcBJPMQX@>7x(3(@LR~^XZaE-zZn^G%~&3l zs}QYqAszH9U(!K~+L*dmjSe@&B~hK7>-ZZI$XDM$#(wp~-oVy@to{THH=6KGRpAdmSedc<C~+t96w`8uFJjZnyCX z$HqO*K)t$$WJw6}rq5RH3rca4C)^IQO}<0u`r&V;k9dMTsW&X#+hkN3)F_K=%5sQL z)IAc5R-#CRk7e*x*bNLlmEKJqW?lPUV=0TgA<*&AAQjPKiv3Anxbw3Pr%EE|`2Ass z^#geIRJ}>1p*w(_9E^Tvn0y$iuCP4d&5f+SKhG8ImS0QTMrs~{p5(G5v}EbMmEMOqGs2W@S)?1D&abANBQONFm{Ji=*6 zwDU=PBsQXo$e=#29ZA0P6hzsLKPwrt*SJ=`G8D487&({e2IJoQaN<$*e1nR0G@h0u zbYYSl>!J3*%3rc*MYK12^(t}3h8bM*@7 z=Y3-n|DT8*BJnmf9#y8hvf1~OeL5w&kRaz(=oKq*<%9`SJiTPEl1EyVt`F}g=<$VH z=RGDdQGiKbC<`0RMg-^tR&L2RiFDkOk5+U!ASISS_QF%VgykfpUs1GX0k7dexHv5F zF=}U%Skrt9%(O7QqZ_EUrTS}$M7-y_NxN2N;V1QvgoFtky)QZkV_WCAC^g%8L^NC5 zQomjZZ?u1OEM$Rg(%R!)0(KXtd*{JXVZ zSSEM#w>fb-wXIs-Vr`bt6^5AODLe90uZHT8J9R|OZ0aqE$QQpKq2YVc*&)ZC9M+cF zZ`WQF*yvDIA>-@g4mucJB)&Yn`W&a7-s(3zSfCf}8=qVf`yr<|Jy@~X;b-}u9c*&Z1=q4vkz@X=F^v1L*9rBHj~v7O9nwG!Wx4zfBLCTu@Y z2F45K5=wGHmX=nj*@!yY>bR5bmZA$M_T7qWj9;6Y9R{id;oPU@#>qpCm;+w^2q**+Vuj)P zx63Dt1xL5W{?SUsN1*MQ-*_Wu`lU#DM}sOZT7-rMEh_@*kXPct{D0BA&@}Ir z==loh+Rg8en19P##tU1)Q4TWHLu_0oXBe32YKfiIoyz8{PN%~KH4}eh9atd8;ZhRz0M$}$sB&{ zo?KJ5XM(r4Eq3KTqjn&|?g0}j@?$1^jN|i9VKQ#&;A;*O79#C+M<4W9$U8|=c4cti zujckTdM_H>$G|N-zdqxP-nC8Tx~D(wJXs4FhTti)KMgq5K-{Y9f91(QqqxjpytA_& zW8&h>zb2hvj#nZWV98*q7H*2Ww_JN3yG{QSyG)n7?&y6m)4#zyq;9tw@!@DUq4O)v zR5!7hx;^_~?CbH7NLi%K=dYW+0iPW*k!eCsN%4dNeP&L`GHV@|jov1za<`W;v> zdPK)=y!?NK>oPZzJfJD8B!zAn_+Lmrz0&E20++*;hK4JoiiDV}(x1w8bAn1se6uV} zZ}v-@Q%esO`myz4)ZTclL9NHySCab)_-N~=33}V!(%d6W7~G0I zQT3f<_IrZWAM#V^xVhL{ZdG>1Z+C_!+M#fDjnwF>GHM>IYF9Hwv2rI}@8n7PCfT=& zyHbqH8?O4#X_Ua?6M4+(me*>!n~%0x=`;IcS6xuR9oICI7)HH(drn8tJcX6DK|n`j z4X4WUr$uJ9X>UYmKeZrwin2!y6YqjeB#8Pvu2srOq`93F;{IZdIFZhJO0i|oEF zb-=J1yP4sxKxl4(E@~o%%r|Cu5*bVT#$lU>T{@(+!DxSii-R-$^Fv*jDQ*W3SFFkw z4s*N}_Hr(BU9D$y;+;L+I50h~hP?wzdXBqSD!&`_y|P&LZ$!LQxdb>YmU|wt+INpI5i0EuZ4v{I1Ddb>RBofq_^pzUzQLc+s5V$pdNgmt*?Ex0DmaJKTlp zT6Y7MH~p_R`u)>&n^nDa(9N%(bYk7qm`(^begRAk{7r4`im=na$K!r8fK4x)YTiGMr8?gf)_g6;}!FCvU`$iz!D_EW>!-(nL4 zC3Rcj3-j-H4;IR`qMh;-MGk6LZ5N(cMoS9LxX6!~uUJb2W ziNEDoYZvKk7@hR>Ldsf_t5W})GHU;&4BROdKjH8Bdt7)&3e6Q%{S>d@OK~@}@Uq|SaK3ZGBsYs0b_lHDQ$C=~~s$~3$ zp#j4U9(1jXz71U5i&-F!6AUott*n>2h$tZx!Eg~z^}f4n6fL{f<=2;;2dyK_C}JbG z&!7Q}Cx}B?oLyr#Vr|;L(ct29$(^HAuHsuxafx46R4cu@0_7a`^q?Fl5Xa;qb0a62 zrOC4;NoA2@l3yCt%q+vHRs=-$sJN%-|z5CYcO^+{QX^;+x=oXA1zq zXP+#1@cVo%*>BD9)|@G>vIs`*Z^|6kVGrEf);g9|W92TnF@|4B1JlPJ`$!!5Iv=D5A=sqJW5N5QtxU8v7^CwKrH~5}Lytn>zek zQ(uXSP05!tn8xRfNooG^dV)_rCXClgXbJJ9mIaeq(&^C^=z z#wT6v#DW>VGzfi`62;TLs>ohR;RC{`~Jn zgzf01|Kg9qIYoO&s5vplt+w()#^6TrbPQSDf@y%J0G;^Pcg)A;5_wa?$z z!;L<>oDBn)>TiK-{VI@vGDcH=Isw-ok*oQ{IY=kjf`($hC39g%qI(>lP@*IWNGpHJ z4XIWD9kmQsOK;x6Ha zrA8r+#=}!`nfe8bJN^7`C&tFnM?Y)IAaz@8?KZ4a@tg~x%@RexqZUW*I@?&__xo^Z z+Th|A7gf?0_+hijUpjfM>vqx|ewutu?D+$5Htx4pxRD}S@R%LY2)xd25qzD{?nRy) z4&mNtswnM|%zr853*-6GK+AviV7M;7w&@!h=RG}67rg8|^{971?}-K8sHjD%yXOLa z3*t5#p>rHxC>5YNi_1D#f3IPs2icF>fnFG#&J!JsE`JFhg=>6!26=K7GSn~6yJZ(= z*02+qa32Px7WhzJ`)H+$G>}?sN)FZEBX8 zvi-vi*?bllC+Q178H?HA5ZyH@Zp;UL$%fCx!AE?{y_RtpE#DsM_d+z`GDxh!2#oC; zFW7iYB*54@=%C}sLYo9!N_WIa#57BzC+y92wLA1PbWnpC@_HgTYAH!;Vd#GIT&9kjA zL`+J`inbm%u{5|^V{p?;eD43oM*CShZUz^)yEDAE`agC`4(S4I8o794Kq zGj{l>t>v4`Jf}t3ezxgWp=|b4dY~d16xDP!#+L|am&%JI0T}(nUOtsae6zVil=|Ke zRuI-NN7N!bMGrw!QpL5Z5>VbrOuVWzvH2yhLBbTTgu#WWvZdBuw)FVIFMCU^em9>l zZq&2K6nAu^dZ0om1VQb1%-Lt>;BPWzpo;vVurCeg>=9^Ml}EJO;>30*W#@3@ zk9)}a>HR%{PV%5f&1^<$vTxLp2!>GwroZTL(YAm-_@<72NIQBokyR4Tg-eTC*+HM$z^1SD%-bFN}kB#>xmD)Dfpg)^uEF()o?A)dR;H7IdANbpeAIi z{z0=E@gt`kyz7)f7*21YWT{cLe_U&2Xv|@YZ7r?sq3o{P}1aLs;18xSvH)H!OXb$pe#0W*U_>y)Fgz_@luF1 z_p*usZnr9Cu2lVxx%qO*n&Ue9lcH;RH#rt&--40wUuUeKsl>x})Rc7d8EZ@mv*KBy zoqKhO|La{;w8zi=;Vs3#7@VMlxt?2kWjzOMU7yJnxv9^xN|61UyW>jx>u&_6mcx^! zk&Cp9$_a6dkPu!s?i_2(ajk&HiV4MZBwzl24l_5UHGpCjsS)hZV6ICW1H~sOs zv3xLXEvZV|LiJ>s;>md zy|{O_(rr2_9+dT|LhBrv+QmH{?Q~8{JH?^S=EB!vTxSCAdV6JJe84$ek^WGg!W5iX z<9EwB4=UvaUJzfO{;DDD`(Qib^LEXfn)(GM_AR~o(#R0}keNVNg3Mc9_9Keom2*VP za&DvQ-Ct|%1)RPAIRzHjFV(g0<^omXqsTPqptEwZD;zhoD|UA#oHn~ohknOKx)z(= zE#u~;OH!gBMtoC4H>yGA7_t4nDQBcjN78nf|Ix=>;-rMmrZ1qXDo%Z>V^>*Y=UR6; zf`(QYWCjCDv%;rSv%xe!)sD20W@G8r9K4qPK=k%eU?KD^WP=WRk@WvksV}elwGPmHOSBN%a*`M=5&2e!0Ql zU=$A!@1sV+{;B35YWBQ<>x4RJ7^H;36OHiQ8Pq7g@%O?^(qWc+ zWo*#@2!t)WA6d42?T(Jxe6S`YdRf<4jh03Q9@Ra4?8K6POBT5v1dGzD3x<YimJcBm*f1?8)T8rOIZ$kwa}GGDQtF&*n!!8sc^TPgI4y4No^ zC2Ty>nyl3w`^irKrYzJvgmHaVL>75&hLP zSQsmWq=07Q{M;H~;k$}KIKZ#?eSxW>?g)8XmFneENs0eSQ(c|@Y+N9dpWe||yUfq! zSSOIh#*Dk?9D9faT)i7lX!0d%++CIm%|;teNQGy9lkA0sDxe4PKt5UZ3g~D*T&`Jp zS)cle*q@J*SPc18emCGhraaDiY2wa@L-lIO&sI5Y(A{d&1P&;uN;{>Vge>D89Qr)88w~faB*ETHKw?RfOvx>t88tocVgDZ?;U@+k?T^t$O7TSXr6fTf3?kcj2)M!JgD=Nb4(l^tTP@YI9~F7}xO> z8@Z53V_!I>=2Wu%}NmW{Nwk!EVa)(^%kpFAW#^Ovq4Ob3r?(A#(k!^h`y3W&E;)9_8;dybFuVQE|=6kxP}p>^lRj&#$aYCa;{2tNkf$LH|$cdk}>9 z_=m~eKol^nU)kPKRI`XCDc|Y%zN*bg8`m9sT=Ry}Pmj=gBaTcK30Z#z6JKUW)3HDW zF?)UeM%L!h0;yn-2P_*o*!S2F*bPIHU)%73SM&(S5 zaTL;}!#Zb)rL~ou!mRV&FcX9*Gx@qg=J@aWhfjAwUc?H6rJLUz6=ufE|QjB6<) zjNQv#+W(9lb}pC4$V4!)u(UE8A=B`|!4Q1(p!qm2t53UP=Qa3)d_-pcp-lCYv1>GF z>-*GK+lT%uV!TBlx3(9t9G1~<6-`Jb^b*9m5)7!Dj3P&usxU7jQ$Mjf=&!cj)V%r644#+H#vd?S6n_}++V1$0US?C7tv*!^~ z?vP49KThm^kHhkLL&;sTn~$D7;Y*g2uFXvLN_*6-mR^^mAeNkzRrg6xI8LkW)vG&r zmvKt`hIP=TXC+5c!41$!nKNARQ_A%Vh5++fV4B>`b<{h_BT$uxnrDY*!mQ_0f+1+k zo5gP(oJ^nCn5s7ojJRBS6(2Ooo@?l@VU?XG6a%mL7a*b2X&^Uk)e%>~tW{@i9!xQi z`^#+w3EBD=pr7ZXE~;q0Y+p|??Aj(Nb8Uc%n%4|g#z z#k5cn=q%;v%~oj~y-WQC zon5~&#|mV4l3+?|*)tgsI(B|M5IsXp4z6~ttezxZhtg%L)ydTIz>~>=H9V_}2@e;* z2sOmQ`ZaRS|JR~BsU7iI`B@sT1d2^%{l#0B`$K> zt{ONrFf(9&T7e`$7n>iLArHlLCJk?bTAwF^VL|Tpj*m5>mACs?qxkaQeol1?sW#mie?x87in75A@&OEN9Bs%zMA*nxkvc|5zf>LXwNADH9t#sPe}FPJAAh3^K%~822(v&G$9P9r zp!~whV$}02iZB>AIYjo#DkCZ=CdHTgZY;*f$ua49$MZyf3qORL_n!>tXm0iPw2C_JpDy z=W2aHa$@#pWo?iqQ5LaQ>1EIwguuRIDrGrTzwk)STWc;W}M z?(cIrSe}(*#z(_~0THC`S(J+N8-92cU%!+>ggI}w{Yba@Rc(+jD)+}_ahU{Wh#;{z zK?Vf9jkM6z)HMB8Pw(qCk6XsNjGNBa~T7 z0)#R7(w3LyY2-F<6um4RSC3as#an%^+TS*bP#9wDIfB z=MjQ0QFoz3_umCY=|Fs+P1$qR_~}G_@tGaJBUa@WiGu^SrDx5h72Q_sgcW7V@ric@ z#hKLs`E4)Q1+*E>cXz;=x;6MGJ^P4>+^6L-D|5HMxM5Tc{26%eWIJkNjVr~YrVzK? zdge~3@DGuh#e-!IW({aL=L(pcz+r%RMjqZ?4-zuR_JSDmiQ8ss^iw6hrER}ZB*DOF zC>v4#6AjpGcUzp)U6?s0zbOWRvq2n+#7|By;R^TF*e@gCg;>Tv;N`+{5To>ue$Vuy zm7q@DuL)O#bs5c8vADhkg9fvA0gmOO|Gl{pqx?GbmZD?8 z^`cJChb_ZTPoEBNjFT*U66k;kzA}wd!b`axlES#mCDO^j2I==k$dc@Wp?b)bc@xzb zD|2xr*nLQPUGFX+h`R_*h}(48L~B?hE~|BUNeDh`BSaWbL@8&5oJ4^NRh+{YGv&iu znPLcX*UFdm^z<$nXMWcQiIy#Os3a$^A>96P>waLs1X_r?6#-fxv{FgX-wfxt|HrNF z6uV$przvi}urJ>z;)IS3lwYZaz zPr|c$mNRZ1Lmoh-+XPxZrke5`Cu!l`gU)^vZ*)oEU{y;~ zNdsxX(i09tjAK?{osj!yZ6mM@j)l(2bWXp3=86|^$q%vdnp2p3gPQc++Q z`?rD`OocI8h}ORQLDK%@VD!`U%aqXoUzGGA)@+lXyHt-1# z6iq1-OC>UL8`K#O{;>;0SYunC$#$&Y2fyb)+=c+{kSQhHt}j!Z$z&@Tg^&dyH6c@e zp*>|Md#6Yf&e0d%QwcDve!s6wg8$S9WG^C!sAT`z(wNWw``8RR${QyJ2_$D{Y z0GX^K10NRXi$n}1J})lK_OAnY^xOTixV*F!KihmhAjkJ@?j@b3?fxvY z&RvR>2TxYAVBBS^B89@z01|A8d!9#luBAz`%+V&X_Q(I`WC_B3sl1yZ$>trKu1%yu z&uC<@an9SK$MTOe^0Pk=#?qikr*S*X*@Q5*MP88THs_rXUq-6emFcs+|Nf(w(RG2w zL1xA}x08U#ZS+|t2lI`sfL9I6183li{lA`b*vvSex;^4xme!%Dq)~;2hTPEBwk9bO zy0iP-Sy@Xtc{|{fsikzJHD|tkvoAG6o|nHsPN+(-Uc3As1=c0TdnN5LjU@g#$8VG; z^>4s^5Rwqt+_^%POCspd@_IXuT0H5%t%LHf#|LN--dYe4#j)ZIP7&U6m$06@d4KfV zK078>Ywy|%SDc6yYHR1XBPuTxoF(hO_$0@i1mojT7yttI$`IXQ6%=1EC5W+ zLg2JMtGtZ#x#zRB?hr@9@sx(a=Pv;<$_7`KTi2fWB#kFn&WR6u%c#ZKiC*q+5zWGv z^7r|Q#T~6XzP@Es{L$0pFlOIR9%g%-_t4-4uOVpPX>QP*J(GK{tw|m$>dWUb|8lu^ zm%7*UDcF6GZ)jRLspN(C&%FVhUsyzo`Sl9-|A;ipeqK={VS-V~Y3!^sS)wscS0UTG z+jmY5#1@to4){1~H$fMfKtTBH(X-u;_Z_w~* zQpB|yZ>5*i*YsLi)YK=Z&Yu+*7t3nhng^WKy6e_OFQDf3Z?N=J)A;VF~O() zgj)vLW|pDGDSweHny@n&9;R>Ewf$B7d#{zkT%XEpZvpz-L+eB zz-{|FhRXj6HRT_JV#M%G*W&C-l~)BEk)Zqu2saHUvq30%Fjsg@kEiBNV0B;kvJ8M{ zSIv>OXtryW$aM{LyjIu40g$j}Y0OM*9o6(KXWIE4zNE9Eb0{h|IF4fOz_E?GC*Kwk z5BW&|$oDA}8+lb+p$0kBwZ!l4c=B;5~g-qp0Y0 zoz;`G=3iY4I^_R#!S+eKVKO}9BM;mr=Q$3x))1`mx+7nc_0D@c(K=d})iitO-%ghu#$Fex6Kw?`SN|5Xl%TDWmTGR7SJ4T;uD7D z^^&Lmt&vb61BIxq^iWWa)pTNobDM(2lLunT)Y&21Imru51o&n;$fvSUoC(Nj)S+T) z;9E)3=9iqQT6K{8akoPy!4tUm9Q&W9D-%YASH>t5m=xw7slUEezUFmDzlG+n;tDsA z?<>o#$kAHt{;p)Gl}5hP9od9M`>y%x4Ra!C>M8m4pz9Fj>a@%7;Quhs_%7&=B`})> zus~@sp{A9%3!i6s7J=VY&-3{BZZs?Rvd(?&%Cd26s>95JdbqP~DsxlS>HEZ|V?Lf& zHko@6ed)r&{yOKj(sT9VDz)syyJ7Cqi37XtTS$6?)NB}GPc!O2>!5?abR@R`vDlU> zrRM~46dW_xeWjGv%*Q~XMN z-r~*F&vB+thHgk}*O3! zoBDf<{t~FBbV|!Y4Z^qi66rHigIvz>D~j^xP&ZOqz$Kvjc;ekj7jUzE#pj{crP#&5^i^>n#BsRi-^jShe)0qooai6QlS2fl`Xg_zbT*{!RhyBhZ18(w#@BqjiKbw@acBoIW7-=vCuzvhN6Phl$ZfdQy zs(Bq`gW!^2?l4{95K>p@s=3~o%GuXNlr8O!y+bk`REApy^~?R%kdM#g_)|()vyOXE z2D1?lR3U1BV`4odksfNmn*BMG4h!vMu=b zPGGWgZJEHPkNdBt=)DIS@}$7tUC-rov6MH@#`OM-0r!sZ1-<5>rl90_!Gu8J)G`MJm;uB`Kg2#ws z|8P_A;f1|aHi0#IF?(kKGiq_0dzn^5xS% zJ0kYvSfdx^{qfm@?Su12)BP=#Y*d5Kq$87KNCPn7%EcaZJ&fesy&b{ebJ9C*?+a7G zEu^kT-<`X$@rWgY6T8%_VTuUKB>KKzepS?6F?IB$T+k*H1TA91)s1{2i;kt|Pa24d zkK~|z)se|9-m-vI#vm(2Oz9)x(eo0dlAf27^oIy-hkr%Nx-dAw^?d6{32bD7uz*a< zo#vc&LY9i2abWdo-|Tqhdpox}Nt)smddwV3!yh)lomagmO5z!HD5t&iT?)}Qdd4;+ z_E(W(2b2VAp_$(=e>yua7zPW~K~K3A4!}#n;~aDQJe@-!XFRtaWb~6=E`&DstdR=u zms_2-_=R=>+LK}c+elA{icgeO>*?Q*+QltN={L~;SM%y>T%G4WtLxq*-U5FHDltK_ zj|b;yY{WrC%EID zA2_#kdU|^_kvNC*zf#8KmG_F;uw*Px>342q_ll=NSSli!R9zu(bR;XkYPd>GOn*8r z92yEfNznSlrEG)?j^L|3JN0`X9NH5R5 zx~C(pq7#CqxJwI*am!o>#RBf1$QYcDZVx#f$p)v4!b#A?zOT1fQ7``9h4Vz?gAJx< zwK0Ei3*Xp*$kKuXjL#R9xs0qn{mKmQSoO=vY$2R{o)~70%px_ziDab#;v>485ez*zHw@=cxnuCI7s`kbs zLu@_(zeW|AOtD`gZVIbU18&m%9<;~r+X>X4e@l)$ee9y-0^ht4a$KX?9||Ci`X$7E&NjG9`%qwQB($N1K#FMpEihV|X{!5?(1ap!YTNtuAsSahII zuYk(IB@&A1x-Z+xNu1W|`4U?6Y$zt6gWwOB`ID%r3tuy7EqW&;B(qvb?IB^d-$RO< zMm>2x9z2b=3C)Sk`P1c$82q${5)3YJF=LQY%h#{kL9cyjRMsQk{oZ}@C@fW+d0}?K z)#?6QQ);kXzKf{*Rv|2kj?m-nt`}taEquVUH-(kN&XuVWw|tr4-0%Ar_Eo{LmOtpA zZfPh4fKlQvadv8ZAo{Yze^_1a@M{P{IW)XfRC{tCv51S*0E8}5Hnc{6!C$C%-Uo#EeH1X5cYjrd=-SZYxILMz{7E> z=GNY!!OiV9*Jz%C328EAWP%!bLS)C2TjcFu}dV_IE5(4stj;DH}(4D z^Y~6m2`75}s1YtCvELJ!cLvrcEPru?*z&C!(>RosGit*0VBY#koM&_qKb%>8(8`JL zEFDVe!GP(8s%8M=3&a}{>O61Lf7h}?Y`N#NjHT%B&;+99(@3`{<8{00xL!YMY^)jgOBD)+Xd|0~%u$h_?`(yD(+ zT;02WmRYpoTXVPoH=Q`B0P{0q%^WLDj*%Yv9uJ1Z^(ePLgw))-a;`A{kRO9cMjpxm zT(n_m1WqyKg?;^5V%_3`jD z<~#t(>O=C~&06AXMW5-DW22c*kKNe?gKXJ1jnyc07P=!T-rnYDy}IqS%+GYpq8-Zm z4RN(i;Q=r3dXgnlj9w7Aen56!>h80<;N3eROA&ThDzZqiWbOwW2_HUUX}D)EmK3)= zH!ldc6%jFr0@KVJSEgIhsj5+FnnJSBSxUbK!`ox6fMs~VK-ek~M^XJTe*89Au<$X0 zuvLXn5wrOup1TXi_OtR|H*P*F;-AS0E6sUTfIr>p5PiTjO}o4Yt!Ye7f%<`09i>6; z^L#OSvSO5~pE}5JS?$6)!@|db*?Y_xjJB@3(_#-u_e)c}{^$cgX$5;kE}7f3vd2&0 zQMZY%wU74~@F?a+uu%9cw`!9}l5)GVx{bXzQKsV>$#4y&vYBY*b(`KCCcL0nEExOj zt1iUuWE24@Rv#mCh)<<>9p9M6p{U23Y=6$r(ENT{<5h=GbtF(ka7cW&<$(Xm;;Y9FHpnyEj*B<#WQ^dsUt~7JcT)E!I)- zPX)&C=WmTUgw^FTCS;)9M5~PHIW6fEr3{V$w)cFTT$xsW75&wOr7#5*faFz5!TkCs z4ByRi4cDPywZ>J4z0nkpK#WG);^R&zk)5QJ$rF(5SIY~FV2FdD zi}P9(T_>H0Z=q>RA4zz{FZuNVBa?pPL9j{ZPsD=H2yWmWQH~RDTT*<1x$CVD*JNOu zm!vCDAbT<|bGZN-ggkOtVZG^jnDIu`OX-Db_2RQDEAlMDP^7j_49|jPNoEG0f1z_7%L1yDMfo&V15A8{lxSWEtz$YqKXp6GmOo)I;04Lp_dt6nZ516iSVu_;Jm2hc z_V;)WX|N%YvFl%%8QMCI_FA*ZDFU7gQAgTn#Xk#=!<7-3Fs*C7LHzWc#Qc}WyAX7b z#cgUJyC2@(_Cxg_%1pNXBhc9@up~pX5YQ=6@N_?YQ&Vae?(U#Lp53pom`7|vX7-W| zM=ydlGi+<@RQK&d!Dh>S~r}()f zhBpMx_xIc*J-fH`C*6WwtjmPs8t>m?xj^b+W2lO!ggA$X`U3&gPbHf&{O;)UuR9W; zp(rha4Jw=h6m?A)t7rYeEl=^GTcnD2Fn8_32IL zEmxbr(ExfdW1g`F49$<$^ZDo-wO8h=N;dPcj;8ww%7}<4{13La$ZnGl_PY+NkPUNU zncsTVX~c=szmawbV)Z8@`!S34(%fz(sma}=x9rVX`yc*y5Q>@spn+2-F27k>Fh^R= ze$nycwF%MK!{1V^g**G?eHln-96(lvFCj*NUD)~B$wnSS!49QAH~;r1H9KJW&3LbZ zB7uY3sQ#l(5$=l1dn4j;n+7U>+9xX%#0;=?DTya5&lV1#EuAgZQ{rG^fYP13}QI2)Q`;mY4V)0Y#E0%aGneo z*Q6`re>7JB4@KyGkaw!?$+Z)f!+YBwmdTL4dDFfe7Q3G@R!=%>mFW%5LK6CYn zJAwfxx^l>!=S0PXTc~?-$V3dgLoFvwJ{x->et>i?C_D@Rbjv|rnI?*%G(VYoYM4FfWmRLR;q~3-ZEsY}51-P0gq+dyQ4>#t3HNVE_-L>x)=ChCg6y#A)o7iI| zl(P!FPN8XvCyZcK-hS`nB4!B+cjlOPZ&J_K@cs8k>N@0CxHmRws8p%+r_~Y$PNQ{O z#3NLP*!vdY0#C!bpcmvJ9=wDCBoQroN>JB^5llWF6U6!7_S!Y^h@E_MODEod1sQQB90cc8Ex zOL{heQ~2i;j1KXJJb~O%ZkSPv=N`4ilQTo5Kp%M+Ruc7Z)m;C?Joc@30(1fzrfRVd z_X=Ltu)Lpw@AzfBY;Z&zv+v|UgA^Vac)&)9i#zawU#b2pi9sL)GlK}7g2Zb?OVxln zs&bT=Vp;kYJ?{|lRg@afZhq4ql(1*lipEc+jN0Y)P!`q$LX~gwdL*4KlN38fsKxS) zspb~|-<#Ep3OsR6Ai%=$d|HozAy$iMH6$4A?phTUo5Is3pK(%n6T(jlOPBA_VU-AI>$Gy_O?N!Rzz^E{~U&-(q=Lf8DmFmvxc=j^lh zzUQ?Q7>&A{G%4`?LXgCy$MTZEn^7!7KkA-8+I9CBz>BHU#$62Vn|)0cc2ud0y%C~H zJYN6Mk?Ec+S)n)qs&N=ov*DvFr3;WKH{38y&^R4bO@P0-8UHA(aOkurm1Lhf6kGhz(~i7h&YNYD>(6g2q#d zI*5@|uKA1fo2;=N&6$>gP?_Odm5)67C>bcbi%ZPGfRHEUCwjBkQ0NdO^R_d46Li) z{eMJClcn!V-5lTIdZ~(c=h>81J5hfInM9rGeRhA(i9Yn1p1meX@Uh&N?aT(~Px-@} zv16a!tvl>QPZhiTYuWllZ)I@zx)%Y}rfCIX1x>@3U_w?S3gdV0XhkbOyn$Z1(^DU5 zvMW|^U+as*PY|OSj(j`tu;|bNxQ&F3Y^o^h{+a4v2Q4~7;+$kZg^Je6@?-m0p7gVH zEC__+%Ysu_9}DC;FuJ?W!I;Q8IE`4PQD=1^F`M~JPHL$fDUE8lG|0<+xrMD!PYKM6CdE zwRxdvBLOoqGheel7I*=ct!F15D6145%@f?DpQGD$GaoHoqrzPVaJxG|EzmuhY8_nd zq~PQ3nrlB|#iE$27<6_xWLoK)JG*(o>CkNvwDoAJ1ceytphp+I`W4ZmC0s>Y zCHr)UP;rm)ul18M%+NT)M#bD6Bz)8IE5i&3R~zTYVct)?3|i{N`pcQ_R}}dUUG{%8 zUlkx9D0+hC*aiZJmWtXw%9NmY$Yi&O2u0^tnkU|`=psSx-&&>Q9@O8?O!xSy?F`oC z>(i$d(bxMOLgr? zi#%VP$`(*Gss8(R2`oE@lXlAb`qRmj_b%U~*ysl}zvnP)nDQ9+>*fA9h>U?p88hDz zEuyKXu1@>zY-;(@%3A#PquUVW2Cr`R`wvmbn&$V4^Ifx^Vtirn3GuYH!WYg&Tg%*R zoxMqNP+eL44v<7(5bDOItggiog=-8HpL5eF1082Z!b7@(>O%c3x0^8Or}35&gk?&L zo9kOiASd5rIw+le+_w@^xovjdkK1Exn?(?ks=8ynWu>jkw7 z%7&+LdT!G$M3=sIeCIMk0oju7)n8p!?X=u|cR(~gBI(VYQCTUi?x`0BmS4aCi9OH0 zvG(`WXGJ!;-sZZTCe4zM^SyqUZ1{{-GCG)3cq(Q7zJT#Ja#nzf73Miq~7kF(Eq(r4MvvIMtr zWxHd99%nK>k7JaJ?^c&>;g+-f0KK1+CCe(ia6YxK2$R)zP#bI)$FoeD*n!C zbi%5z{186#xMO15bL8x82M^IthR|c*#gY6H&kk4ZTCYzV;>n`Dnfly1>6}WlF6N2W zaSV^myOJ1@dfqXjJE7_FzvF$Flrl-#g=#G5+G80mOcXe-#oti>_$T%Bk$ffP=A}pa zb=IL3L{3Q>^F|fx>o;lPNeOLgC|z!{J@L4(epB)y&w#N$yv6&g5eC<5$~YEA^j5u2 z;=pFtn@Tt#Cvkm|F$~pCj3OgMf2P#ENBv0*t3DQX+v32zbU=^!q zP!q?+WJUIhb#u^4Gu+CTk;rxG;9;mU+|pb=lpCLLU-tlmnqq1&-TmTquGcLDu z6SEZdYN39QWw|++k*n$ybXhT@F!&nk37Vs}^eNSS;7PG-YA?0$19^q<;aJ&^t8F3r z`d2M=&x#_hOk<@(?<-$2FvY!Wu0!Dwk+-d2bSqfsueY`}-KRefolT4$_amcB{%^w` z+(9vr(t_7{w2C(eFj90i_?&qUG@h>IKB{&!n{isr2BQ?q4pe`yHzUJr!{8)lC70s( zDV>`ke^5ex;pE6#GLS@5^-!l~u&0EgrlUFa-tzR4FzN@sXsDUW#O*h{RwP{se7UK6 zh2iJ!&o5p(*SBKebxSB=zxSo*fra$OE)eHgM(K6Ij4GO*w+jgfv{E|`>qeCvl**}% z#)RI9JEK@locEDG{C(gBPatEdSZ=mXYzeAmi~WV_{258?=UAGq!A7i;TKpCI1N9hs z6qrs#XJex1)tJ>hqf+BbqH~T`CQkJ0(ZxIsi>|5yM~M!-fA-WJWlOKAo8QoWnTUUx zXA%!)OyQaztCTArDr@{{v6HKMpp!v6ZbRrfAC}CuqY$na0-m#yR z{H&fKy^@SZDEJ0=bY1WGdDXcQhQ<5Wk9CZTSqn78gvhlLF~*ofsv2oD7Fa5dT~aW_?e#Sa|b$tQZ+`%Hz4Q zZg}2TIrZ*yJHGBU8PXG$W^g$W!h_1 zB=c&0j8XZLb*~=JxIaBW6eefZD0`u|^{dP?o>Ee&UyH=BH_+bxH~C#l5BNv1 z1k_sOrmN%NsDD~4)&O@jfV;v@=VL@;X#SueLhz*vZWtttHN(-M;_@$tButrvra3WRti zE6;_P6yit=p9wiB_2XPs&sPTD*PSX0RvndGe%09989FubmSCX$4nz7PTux1t(oc=( zlGsV|IzU$u$z-aoub89qtCj%BCEy?F+BbMgt%=S!+ETyfRIpN|wG)-yR)6py^)hEi z73<`2;$*qQ2J?2YSCrX*??W5VM%a|v6!+RD-Dn>(#mT6^xPr?1S1ZPcA|Z+f$jcU} z^c_wQY-|?v9=|NvPG(bAdZIw>EwKF+Or2dXyFRq|iWrn?WIpGJ`jfLz{la@2b8+ zzsM*c)n!E6@o?NiIr0`?nNLo}+w5p?wGxzp3vGE2`NgOt$6nJ)nK(Ucm0#KAGs{S z*rXL(CB7G)Z$#V*#OKdX_FW8I;U3GF6F(bxx9@Mi3@rL}X^8ah-G7n(jL|4WYTX=N znlckdCS%e3URkh`%B5awhAzJe{n|$9^8tWIT5A{wjL*!hzPAZe2WS;%@x(wdo}=)P zeY58Mj$^y^>?8U76iBLYN*ndiOV&w2ka9XAJPdB6AB`p7`7Jvu`hkL6Y+V47AWw&* zM1`c46L%q`*T!motco_Wgem16ZDn8kq9;}WVKxmuoSmm$C6@VX4K2;9N6>@ zai(%L3lq_CZ^6(DbjrWf?X+NLn1odvG70fWg5^&7wLZ$N9j0U@Xw-yMef%?gQ@!DI zjeT{z)FQ`j1@^czMW9ghVE8ctAACA&{OL3x#zMsMU>FNl0ZYzRPU5=a+ev_~?H!C7 zjvjo8Wl*?(b$KDic`4H7^vt_gX$odRBVe1VA(h2v-b;2==Da!a)Vw!2!-be#V|bm( zYL;^2z9Wjm#ldLki*)b3E>n~erFiD9AvKBoW%j3EvIfu{;2%{}qUoFKaH3R+B) z402r6oyA+w{Ec*(ahxbtliqwKcCQCGt_p32oF=COHu z?~*Xd2I^>Z$I8Ac_wb&$Nbn5LjXBzpcT}uAua4ZT|F|ptAShiq=yzH`h8CS97>uF#N=!jF5sIaXg`nC6xK`waq2 zl#%vtC~xT@oAomE%9|WgO-?O`#7q_YrFd69|8ibo)qu+c2K#m?O7p z>|eA#A1yH=gtDYMAaPZvlFZXQ#CC2B5&;^Gog)CIABdq&)0N{^K={+B?H}@_M z_U8WkG_zv__K~ovS5yp@(VW6>zYRJP`BbCJ<~livY~P~f4LLFyb=q!CpR!VKE#|bH zpl5cxyQIB!YvsIq1h1NWCvU?|^~g7`_jjQO(-BdvADA7uTJKW{bfiK$Y`6O3>z1b) zG}>L%D;BtfCsMo8B*yDH);7i_bhZR&N{Ts;YCrzq{T1L7^IKlX5xxJo4Av!x_78$ZGhS2EF0;<}D!YtL7wUyh$+(^{T{le~13#ZE} zUAt;qF&CZucr}2uK`{px(kl4P4FfMatrdNpSdLPT`ctNyuC0VfnCB9RikVy~i4-yz zoH+X<*SznoYmPD1h3tK^o{Cid-D#Fey?|o*;^K>h1GcH*rjY8BDb~MV( z`)<7v^QvgdOil^GqxzD;I4!IRT^eCowkaBYi8+2M7=zEuXxEnXtU*m300$>V|d4-@wKP9=icNK2t ziPv_05{HUeN&M<8@Z31>Fzplk7iY6t1Uq+c{?svNEt}HMa>fnSI3x9FkeqI6;9qCGe6Izqca|1&(oW+0rqljuw9%#BxSOE3SbsN^FJ0wWC;|wP$X5Y zP&Yi<&DXR8?z&YxbMSDv--2hL*d#^mWYLzQ(t5sHs9VwUuO`70Vw671><0HQ88_|K zn4fUg1Jl=^K|?rac5^u<_%thMF1dfHy&wvef>ikQRK!4f(`Rt;S0}=a*aK;M#S3;q(E`7&0>sc#Oe| z_x{^o5b1Hveh0jvGAQ!#KV+awuQuyY8cidInvv0rS7()%82-KV6Vp`8IBUV$c2I{d zBhucIWhL5H{O%arrjDkPyZhKkZ()n?p=+f1R$vzSgx-A0%i5_a@C3*-UDq?+@%pGE z>hq|-+Av8JU(`A$jxvXJYg-U&5mQTwwrQ`Y4>jbsm{Sz0t3?Jdb=s4+$hP>VoZz0+ zzd>!P7D}=}Ro4y-ApGEo@6+MAerDpR15|1N!dIuWr9$8}A6_+{DR65F8ITe=&XNRm0eTw!xyFaor69g8Sd4FV4Abrvf;8PUj z#B5SS?}uV0A_u~uTs6iLJ0zVYFI?8z83E260u~m9zVW3#dZnB;Qggqh(If+ef!nd zg((2FE<_r~#>JdNc8lx52WuK4Ux4`&Yh6a*eKvZvAN5H)%tiNaje!k$ZJaDKPVA#S zzBWy1qGPyyyjA{CzQpU~isACFrx6;VPE|)9*srTsm^7CBsJ7vWqVno+UgpqnbxPO_ zYS3_<)T&R(wCEIK-$t!hsq5425TEKcN0>VK5-5t34FLF*8RPr(JR%!9a|M zS`WQv-;pM#!Nyqa%g@K`(n}%i-lFUl5!j<cpuo;6! z@!JQvP3MxS`hk{U>>dD|eWZU!%Y5x`T-;AHFJoY>jM=wEMvF{5xs^xZY3PN>pk#oD%`v3v_>`c8zs zAb&s-IZ@yH6-_&r&ium2RRbckyYD?Btp)jclLQ2elSkE;Z7fX2#^CF7V}uht|IYD2 zd}YZxRG!gYWeq!_2`%z!-NW>Kih;uZCEi%aZJ`Jg7dUV053kAHYl=p3wvDK$8aDm1 zkDEi_EYfC8hFX;j-C-<%;mmXs{(6nqdMJahWWTV_^`$yqfEGaKj4~f1;@AgPGd#yE zT3&v&m%z9p_Pn?ly-K>eJSzk&*JUQE5&!I!*A4cR1>C&kiC5N6?-yg+jF_?R8Yg?) zaQbS*A2t4(hg6!px-XogL#*1YR$=KkjT?)Z1@4&4X@J1`5q|S>`jA=E(q*f98B1C+ zL>WSQvi#0(?Ri*<=fN6r!SkF3nNYlpqS*2mKjNsxJYoG{Q%fxd@I*B23vnGLL6xDr z)xl{EuhU)|$*1_@d3my&{dWH0x-3=;^i?V7X)?T=u%YWxP>b7fJcXd^DRJG@vGMGn za_bDj7q^`Lt`BCd*PL~qH2wGa?5#16$*~>eas@Io77dI^qv~nO_=?H8;o|&>UR0z0 zAtf^%IQHfV*h!g%X{9BRp;jL@mON*NC;x;4;Pfz&dp*wMbhkARbN4A&^wRoV?BR&0 zgx`tctlrFz`VHMB*H~uz8SENo$Me2B0K8mgv z^-MeofKQ5B$YyuaDo&b_{B&Qw>qJu=ffE?*j6N}W++e3JIWZz2JEU1)M!kz~Xi%KQ zj$T?aIdYmJ*5%myawF)>X<5;Bd>gKO>ICcYl9LLBY<5WPR?T|Lt2!Rin!RrJ)+nL{)GZ6pgk^jzpv8d~%@VWg0d!Xh z_skVNUCC@vt+XDG>&4c5K?tLRnP*4`dv8w?!@jlz0*AacoRpjWzx)LRWI*|D|7sDd zxZ`+aLeD*{J>CZ(wcA-HCD$9NJ{;S`RtWRx%u!f}IGqPRMCVb_?374YGfp_T2yl?#43Edsc5&OrAeLD+sDAc|P

iP~rpl^fiTD9j`N&9lY*QgZIgxLyR<7($DcXrO^jm4opfCMb| zB=wY-^_YVCT4K_H_w*|XyM_vzW0b?&>FsQ9}r z$$VBINtVdY-m24iB>L=pKA6-T3?mIFQ*E-k*ER$?knTjU_02KvN^#q$62m*0H2vD+ zj*T_;%huMZN6d}Fb`*c`3;}Wr>-l1i6gR5Rimhs^V`bAsxTVI=9OQHhVtTp@I(xd|Q#Rqd z_8U>*R&Qx>j?9mYj-I=0@gklo`|nRNks@v&Pp?El)z4RheKX$seSv&O35=sMS}$(G z^xfxz@3`;G7DZQi9=v!y_+Dy76wR3KW=B4lI_MzNhaD?vjXF}G&n^>!^RO}oNR~UB zQ=cEReAX;XZ}KtyKqzaWE>Ngj`JnqXJ4+aa_tF~+X47L(ja8=~+fG$I?2y^`sZ;(! zE}|zj2HOb=R_}=vQoM1a>49&x?s6h8UQ~X6)J1!xFxhm>x#KA9a=Kd&++hQB0QrAE z+x!6|vRk@y-d5|<{f-yjQP)>w8Dmbt872d$QXFcVvGJ-}FE;6AM#6?&ADVlEEJ?h%!Yb6+&5b}VQ z57J^^$*EHo^EI4wJyL|W|i$vm|Bp7nCd=V%&q#{D@q zLHGPEc+TfhNTXC!_=(%3AGD1@%U!mnw0$p6ELk8>@RqQ4@Z1ClsQ0b-#9358f=Tt6eS}Y?(mj4iw5fMI&b`nSwbZ%~#qQbLb7+`nNZy+_Ld!M$=%G@|}| zuP0-Em=z)urU3Jl4IFxV`|-yWQ8wqH2gm~w&MSlJeMD-au^f5KGV&pVl%-&@RR<0y z26MnMWCLEWyVZE*t6k&#x#6bCO;~82er*MUO33ZEHHsIf2l=(a4sQS& zrB>J%94RuEIRQO-IcIy5mhW@G(l`#O3Iso()6oJ@O1gu)ZYS^sn)<^$Enf1w<|-?c zSQlqUNuZetSu2A3t>;&UMCH$#1$bh$MD*|W+=htw=6Ns?LS$zFY8uq4g@({ImowJ+ zn+>Fk4f_F#?t8wjz#E`PQHpzOt%u^%a4n~~8EB!|<~YGn48F_}SfA`I#_?Hc1nlG~ z#?ljbqKX`VMz;${=?uph?W#9ni2gX>mlADUF`jJQa(#z9r(S&;zJ=v}?on>3LyUsR zc7@qr-QMS&OJ*^ni?B7T4#zDUf=NpoTGRpV62WV;A@yOYG6U~8huAtjOB+?cGs ztt~xI?mo3{{Xu2%CfSjHNy>V2qu)lV?q3g?>V{;INRg$ZSREtyz?FdRL{9ddFHb@8 zSEr)4st1Jh9^7j?cuifBRbG>57ONfXi}lu2_1aW>{jO9Hx)S)JF1EoIL1evZF<@|o z^5$^@SU&Mo4`M=y%6pTJsEndl2x3d}bqcp(L*^;NC6BM7s_Bn%E6wV;5Q-GtD ziJ^gFzXoMW9OmVpqDbs@GQX%iD@6 zmL|t(_|L+yzqi|2kNjyDen&l`b?~H}ov_KVn?(N4=S8u_6Hb!U|lCL1( zhgiZ$BT(sxFPkOL_3Z#Z6*J|~K^5rtBxY7A&tbkj4!}~op{5QRpI@=GW%K=MB2URe zlE03Zm|;)NOhT_{fi9}saK5J;aElD360lv*$!);MPQrOGq1m6npLbi9(Ov#j)*&!7;H>t1nrIK|m4sz~-C-@!p z*r{53dT>qeT_i86O-%z2 zxeB|Pf|imb15YK-!;Ra3vK^uW&#+G7IE$4$1P-W9wW6+YX)Mqtw@&m9BrMxLs6) zPovbl?|VS8hPcf{8B8A)g?WGJM}>{3#Be&8kAqh#n+mz&Zb58d+$0Tq=dIEpK;UWba{i$2K70?NS)s4~t4K=;n1omM4 z+`eZj;2)@?3%uG9Ph{6DsN$gpWueApotca%gA?dS1-1+sEA_x<1!jeZvx)qF=c<46 zR#TS@ZK`6=8fOQQHhHzr`C2_dvE6fVnoWz;wPrvL(X}uWSzcnT?Xp=PDg904{eyBl zQou-)jugQ{@LU6^R-2PEM$^Id9zGo{dhv1O^B)hn(#i16} zg8Njbt&&R*wp=|$~sq`Fye7i;F2b<8>bI!bq1{}8z?Hehnir2X@Yf^guw z6oI#Sh!KVbHCep#VGawoqHeYh12UF=t9&A8&wGQ*)54iLl<$fLa)MSw&Isy6%&Bwl zR|`dtRyYagqiv%Uew**MJHi_II(%JmOyNyVWZ==#gQmLw^OtA?;$I@cLqDp$c9uRW6xf{p_Yf%ns6GUjf*GiG30TBz zir^0|d{^c^;153`qX=lYy7W2$@sS055#1ReK6s-|s4A?->GzlV;w3JRWn}Q55o+*l@XO5vl56bCY2EiF45DD>Nw1M(q5GtVo}chUYvHi+a706K)5eHtYUtw(kI!3(ZH| ztxJ04S!XdoT@Bc*r&=L${*$(~s(^o@?n)D>JOsnK*rfS?$JW0u1eGu)je^}Oqa`l2 zux_%_A{x~cy9S}HPjC2b-ZsVWgEj{(JxRCBk`5HUFfUO%1@{bJfT9)vnKg3M1(JWR zf6pY>hzVp2!2lzqXg$zk)tux!%D!KWm$`{gCCms2vB!94hnw-BC%vDmk-zXIx8RkP zsOxVvLy-zBQ}ucO$&WdumLCe9-S$5@5&j+uk?%rQt$!(402G1N2&?4*qmMxfDheS` zH3KBe&|*hM@^#HX5(^xR9pklKMc5iaRNe>slgDO{hi?j5uL6BAg0ddY)l@41i&WLf z*G5LftfD@r1LT2hyP1YZS&FfP57+@Py!o5@`1iaAl*t-_k6-f=R2beha-r@-1Su0kE9Q5iZv+CQd`7AKudb4t- z`@K|<>FW1vVQMtv+ozsm*Wm9FQvmIU0!178w0&`VMgq+&C;kU9{|m@LSxU78mpRi` z?EFVr0t7Lec;KZLYRxS-2!VO*NKo3M?ey6x$XI~odi=zQA4t{HU#Zrmn??=&I1#cX z)`-0XH0Wu8p7tHHZkP;!r{tJ_ktqKpm*>Gq{F@QC`0k5oZ_YFt(y%iH@<7U<-2^5& z_seLlft~b@_pv>3F^J12_0c~*Kkncn)r^XX+KD;*N@@r@{RBwR0n1sVpLcNXOKCwk z5sxB8{KPP0w$X3xp@aCPcgr9p~F)#v(1NiP_2_gNc6yZD)0Ny9Ey%i-2EJMexCdpTnu8sO&Z0+dCA65D3* z@`L1@<_ASb%D+-mz_2us28Z`lcf=KG@lbZ~M(RAA#;Y7M4{ZnE2b4V@k_Xxtv3uD& z-%}-OzjFrw55iw{A+$|+I|_cxuszUXZnc{%_oq$Z!n^NS^m`|KDghq>GGR1_dfRFw z4*@ELfDa)XBuF;;@I|-_6fx}Jf8su1Ud3qWqv{>k4Xrmk#(^7S#q&A29qf?SGx9bg ziSr$q5?&%sNRYqPY*PRVx8B&3n*(07w)UU_STnO;8~*GF7RU4`BFG)pSZgO3!)j^< zxb)&9m87)pP>TNdmjaySX0=|mu%at#Uftd`{)13yrxDk`r@eo84}u(B=SrsniMaeG zEdU3?`Lp!ug6gGP9>2aRAb7$68d78FqIe2}c3^o>ss=u4`+sT#s-xmdLZ$@}7>Nkp7Y_-a zWU|7B2qH1B6pTguh?foZ!|q4GdnmsX_W`M$DR3qMNWoa`k$hBw_LAgA0XHc(j>zad z285O=sfa#k+M!5r=zQ=ImA@}4BF!(w+VjV;=ZPtaingr-mC^<=7;id|u0Kmm4$nsj zqoyG-;Rvjc7tXsQ9(E!JWU;aLH|&OX@FG1hL`CO`tlon3*?_^NQ^q<>eDsFbM83I{ z_A3MA446jDI%DYWSdDN@%ffIKpee>OH$gi;%<(r+{h!y8vLH{$wYA1G+IwR*%}zJ^ z`61e7vZ zAy|)M1w)}IfV+}~J0M#*=|xp0pn@SSm&e)RTs4Y->|!Ejd!o+mZ<_)tx(2CS>w(MU z>1!IV4c^aS2eg{s7}D5L)e$$GZPk_-x1v{XH=JbwWUmlhaB%1ly;~a|+z04&<)+p; z@){fU5PK3h`L5UMD_6R_&5`^R@2iU=I9EUvUAqt9S{8v01{qF|{M{u#zzKNgcd1?P zKHhi&eJ}80SaEN8fE(CfNK&JpLPOkY@g>gHgVmu4#_*?~A2Cs_*KRi`=g{IfWgEAK zbRF-`KQ%%lxcH%INOf0b|0f!<*du`avOw#{7DWRb9G)3b;9YRh$BIy+6oF!v1R#|a znJQ$S74n$lj~)Bp1ozkf4}octgqVN=;b1~CCTT+j#L$m$*VXTGwspJm)5M!@q+>!C zoea@A8C1(Oo-1_3lCb^Rd8!+=72sgz{(KqE-JpeNRzS?{^M`xl*a`07-FzTwe8Z?x zRF;P1CxUIS+3_EY1$uYl-F`uaH&rdC2&aZ%1uCN0z^On*BwdmAeU>{6(xe?33GF}5_TJH0X}4wvUAY?i=ZmyT5cQUVJI zspylQJ5pru8@upVYR!RYi{K0<0m_QOT#8Jz&v&njMVKW>fJanZLI+{+E49wDNH9KiIXX{`BEmIKH zh-XPRj30L1gl9c!qMF4Lj7;+ZlWY>~Lw@ZA2w|K)S~500 zdKsLo4@6oO)^A=(6~BLuNljl+w|DISSWI?B z*WI$rxfNHS6PO+f0-r)GSstY3gqIz2$_QVb@1wQobEweIjqlcm$W6KvN;`>P9?!1@ zaHd~wTyvTrtRa%Jji8Z9W3Q%8oa5!7mLh9;B6EBIitx&fDbMwM#{sdU6)&Q8urV75 z?~;A&PCHuk5I~Wytndy2<(8|6o!&f4(D$egRQO>YnxOZ1`>O8xwIEW>+9SvTIMDmQ z;NVX=g(Ai(B1;vMV^VUXj44GzBbdKPhT*u+2Lw#Z8uLtLP6Gm95x{LvE2xIp@oW&A z9>lW{LCTP>Y+Vfs#eeBX;r6mDzeY31n0ptO4e&~=ZI(6=XsRx#hOv0=B^8vjMa1*o;OB5mjW-frhNpwed^Kx1^A^7|j4IgBeU54RTQLTx)0#43p@W z!H#cuHS>~_`*wC{5zJSPGUD2q_&1+}&=jc<#godr%eyT;97z_86Kp!ROK*H2ap8PLSFk`i9+j{nD7cyMOgzM8X);)^hvosy{{W>J ztA&TfUz4ZT1ZZUp$@o(5gFPVpH>j{d9!Zg!#oNvq0|P*PK{+SH64j6*;}@z2ZBWe# zl0hkV%?f>eVGmcW%651lSYEOJ|K&|XEN`0kH}77syd*c$eNUfj*SQyC;n7cvxkk0# zC2MikTB%Un+?)c|U^e|)*B?AqV?MaZviIxu$Eso-fvov$PKXc~I-BbinHDjhRHRZYOz2M(~Hs zctG?Bq)A)2+}EU!yR=C76+qbrb!}uu24X$Ohl?FMM=1Kjd#4$LZAseF(4Casu)(`( zN#TdgFg7Y%=(Xc)U1Itg*-E>u+CyPlg#ds`qbzgve*9iHpP9R1ExVF=sr4(X#2jsGvVwfz4 zWs5GkY#BJkL&1GNzlJN+W)FItQ~QG7XB!OcBtaPm-dzD_xUN42Hq3RR?0G!b`@@a# z#|W;#?(WQdnur@#It6ySBDAPEQyY|16zp|x40ERIwP?a*friuKP`@LPr=XUJ<@prY zq3(tkX9?J2ljIK=w{Km~0yvUPj_Q*IiQ+W?o9KsksBYSGfJD47SB&$4n=xz{xTq3( zt=Q0vrMgO~uHXHyHU76Uo+BQ=ccoP%i}E?H$j=($=7Npg|O@KC~yYx4bK5F3BW@RHau)L zSfIcim|5F4-uFlWcn&qsY%F{BDx#F2J%tU|gNuU;6_d8g6=7sO#|WC`PFP!p+BB?Y%zDT`cnD<{nZHpoWoSklwG!h2?xX0WO**%vh7XZ{Q zBt{)*g;@_tz^BL75dR$yg_a?r^%%tptraLDhXBd(aU22)<=4kKaw-$! zt@ss1;;}LT_Z_2?g?P1Jx5ny7+ca)W_JaudAioMxxF{QX5D&}^r|Ipfc0iTd15k!N z6fmBw9iV5!6z#_tH(C|p`O5)5WjXP$EokSv&r_i4|~9aTaKB#IXA? zV|+}ykXw8&vfx;mVq7F>bI2x}6Xg>(+gm5?8ui79_77EPESK^NF5m~)&GkGcVCc<=dlSm(s|GzI!*}3yi zU<^hH9O(n#6kbKz@kFcbE*~|>h0hi9LJhUu2tcKMaim%1=bE!YI2-X3_$~%!qV^y3YW7vnF#eX}-ht-&*7;FDYmmB-jeYh#U1cdBkhR$uLW1{w(a2{T5ZzZ<;c%Z5@4ZVV zZQEipjw>+ro`PYH?-Jxr^#F0<#l93xoqw5ENMtk0|5O0RR{(v#r0;V0uM?)lB|JV| zFI+@mU7)T6r{e_{SQS(=$0)o)Ty+A5BZ4*jW)jgyO?i{tPKsRrd(ps+NfXo5T50-J`%X|ql5k-)RiO0QRO=Ei6X1tA}Gq~AjZlA*9Zr=+&+-sM-%~bgX+ZV&b2;SSvX5g^u~T0@O-&V={KmM{ZcEz>(a*| zr~%}%c2vU7gC=9%O+=ItEE60Cbz12@huY0cQjFFlFbf}dsXu@TL1YEUf=B*w#NHDk z`ET{J=upOxg@J)cJx4)Q2lVRM05sqFz%r59qJ{9soB$Msx^*@eiGt3}A^p*G`IA2B zd}|JRCWEXIf`Hw6RKEYR(|8yrfV;6V1*$Y2CIhuJKDb3D7NdzrhV{;K?KZB}OXQ+s zPoS7}c`T9)sYHTlV8m z4|LF^$hFXSUznTl{C4;Kvs<)4U&5AtX>%PER0RHmYZpf|Ne?sSKlk`~IlIT@01l*N zI?c78JG2-|hZ@5`$MFzwp+ptOVQJvPNQLD$`e~0>F-X4c@{L~Dk1BzTNX}#AU$Zw; zY7y-kK(-NpK|MH#DdlD>treP<&QnG&r4nKvZ)=Gr)-3URn^^b)-Uk-F$FDYOMoE*Q zm36(}f@z#_6FWY6R5EL(%E5&Aq_y;Gv7!{Jaj~8opi~ilzcpqwjwh8be%!COX}g0y z`QPOPFhiIHX>tH4G-QNKbi+Tzj;1m*aN{e_uNYu3O5SHMPl~T067EPrROpz`ZbN#& z{g`ZuOxeBheP2__7&Q&fZ zw@%vQ0f8Gaw1!AAib`0ULO<7HQfn7G5FCD?6mskY)Jz@)$~3=5`%*KwRoMd$!Ds4Y zpn-CLmR{PZxH0no=rr`;ne-flRO#16*;#&ewmE1IoU^VD8b1yZw=EnopIX;V1cZzS zNJ8uhX+F|Ja%s+%&S2Pd21sJKH(%VD7!!<+QGn{u-ID}XpQrXAU%$&Tx^KDzA$z!% z+%=EB85_gZ`X~7_%mWAm3*a3drF$&Bx%Fx;PMJ%o&BpP1=p*pq$%rb1l*ML1&=5`S~^;SGEZ#n`$axmq?pD2Qz+`kelH$lEa4-@P+|l|e3RqKIJl3ts@-k->);5%3pFdmAx3{}q9w ze;F8+B5^fLD!7m3wELBGz5l~|dZfBxU*M6bVZib!Vh7$?Jr>Fzpj){2iyTJ%d9|S> zp!ou@74r2ro9{jZobj_elI|VAL}iD#QhbYf@hzAvis&PmjYHi;spBPe=>4x|XaifM zmoj8Re|-Zibs?CUfb9SO*n9JED%bvfIAhCDRwN`-h-4niOe)(Du@+M1%wuI1!b&PM znH8y!WzIZLC54EVc}!+9llk|#wRij3&-eNM-sk=EJ&yOkwfC`)?Y^)3x<14CInVRD zE*ym$RAQu!=D+;1AK_X6KSHNyBR7;TOF+dG{fwiW$o-Q1!aF*htg9t1%_N<>05{rA zfcRxsMl?8qU!de=f9u3y|t$NGfeWT(O=OaVt=f-GQ@K_H%;Vm9x5aRzWl~XV8x=jDzM0s7X}(Omeg_ zAMl@|BAi@;tlt99N5vTEWOo9!BV*#P`fsm@oDEzP#68DJc{rG7K-ld|;@K8F_?Tfv z8qmmR3BjJTutqdqL^n5wN=|6Rumg@#s+S0zpY$$e(TROujyYHX9@4rxPaQm7E%rAX z32Al}U&2jGQM^x%@n{~pT{e{<=M!9;Jo@?h6)2$D0c)n=BERjyfQDpQ}` z_(U-(4rM*PW_6^bj$Mh60&iD9aKB!Asulxk2|;(1&LrYp!b<&(uhwBAqG~OLN#|5al;JF!%CV)_y9zHbqn!dqxWA>lfqO`l=rL9YYSZO^n|9uEE{({V;xGPC;u{;KR;#kl=)OVq(R zAwb(nJX&hL5@M;!fjg?;R}O*b?2WOeH04wLs1tlOif8P;@&?4r0%<_!k^wX!-&k3x zLeWX)!vtF8BOop17ktH4e>-Uj#EeIB&fyJmU;bFdU3&CeJq|4Y{Y1DQ_2!&ML`C## zWl1^i#rz&nwMhjaT!9MP%*%P_-y1moJ#Q6oPSx{-%y!@@4I`IM0IxZC}h3)012QPs)gG5})*Qb}u*XsQKH9Y_Qdmr%w2BD4v?r6~x z3in4a-)g|>8*z6r9=Npr?j9Y%%6xW+K=nl=F!&*k<%2S&Ru6{*_3tM{$@Xs4k=kO2 zsi(*}oB0@m1h4QO&2~hMlu)qF4QsNonu38ot(hQ4$dWqRt)_An^rF+Yo&$I9=BV02 zFH(Bl1q72k&I&JqFh%Ul?eXK5guK)a$v&zL<>N7kWjwyvC?1c|WVCBH7i)ej^zI z%EPtoxX!NNoP2;^sJwddP`v&4No~iQzfdeoPsn?8a zO!o&=keQ#5GJ7hZVg`^$r(KsK%(b`y!gY&ZkIJQ>NvO#=GzW#;S4o)Q97YwR---@| zd4`}wfHYBIf_ooqohj+q^K;;AM&$epnk$DSrH+#^`2+Xz=z=*MzyLX1NuY4oeRNM5 zB#GPs!QQ_~{79rX07&N!Sj&ZN{Yxpno!DF-EpN6(A}HjV`P03ob`EPPNO2t(IG$o z`D4P%HSw1-C|Eg7Jcr5Bu9hrbGCE|qkCoDF=fFXAo%q| zN40vIgWr%>wae6Ww|Y$KH9&_SZxfM_GLP0KBRmdhLN}HV;V!5Ehp(1O=<9*|zaPRp^HNf9m0jGTe?8S!j#SK0E0~87AZ9E(77Wo z^Vp5O`{qami@^@%q>DtDs4-?ZkeT(?SW9BIP_Jj&xsAcyoz(G)0pGp_?RqMKAE$g) zXQs~Z7&d4)g99eoPAUJ6PtfD)HZq2*FO&smR+aC=H2wO*%N-c1H9!|ZHlp-8Q1n;G zZWAF2N&EpIVC#=2Pi;k2H*ivzbPnxh+f`TtZtHI1S-H>~PvReO1{m~GyE?|<=5vy?mf{c?mAt8o~Nuu@Hr;YYax`G z)%%Fk5xPX(z4eN(?~kME8kYeid|~X(e$++ovYB-&EG<9K_%OqIz)!37BSU+@bW`{J ze$OP2_gI&jerP@eT!@T)0O}q3#H<_)WR3=a9Whs}7=(0FLVxJhQsGTv#O)clJ}lLi z(YVK6wi~RhC}sJeJ`Xl11=3LS<4jS6;C}P@dJ+pVQgcb*v7L|i^5))WajaI_Jk_fF zaJguI`(opWHBs27IPk^;YlT_3{1C zc;oHZ?pubsIObkrwkMfi3@1&}Ll7Q-RfbD#wxQhoT1mr9M_UWpxv_ZKi?4&Ne?r_% z2EeOlCnN8(j!!2LNiskD8!rT5bQ&Dzy%8#Y0mR(MkoeZdWa=W+es^RwhDWK*QB|#v zVG;toX`Q4eUQ3kwX@#1gIDZ6s>`7iN*@++q0>WJf2<({m$5rNZpnPt;bufOrC5uxs zAa9Wo-e+p9`x+PR7*aUY+@!_Gke2=YCY1Wg9k2hOJ2U?5=JFYU5f9P2Alv1$q$f*| zzSwI}8%+Pe`}`=mfH3Uc4&zRe?{EOCcOUg5;M3{m^3}xLqcZLp18PW%-p)ySF=`wY%TkO_&RML23IRuHf?q39|vATV8b+z@tpxm%KgJ9VVM6}<|lntlnKIojrO z;CKdXtYf2*R6@}pzEnFw9>gG2?)lAcSh;tF(Q0I!qL!S7HRDI-a7hzweQnkW)VrLU zA6FR37mk$g0!6Vk?n6Wnw{eaT%nnxqqoCoPeQ1PTK-IDzsW~WEu08VpXwvr~O;l|K znD^+QkF*!n)&J*}-dl3puzfhKdAsniR@Iz^S_?*Hr44Qe;o#0}gn6Y^rx&`43bUb5 z&b&v*gKuq`V($vnECim@jZY_24czYE=xX912Uc?&qJypoiiFwRISWH;m1sp?wXSN8 z@G=lUCwt5dxJx_iKs#*1hP$m&Ye?*{D`EF_ewJkTn8UZOh%nL}^vfDLIl6yTLBHYX zw!_FuyOV4Kn1GD4)7U9#s9TKC+QWC6S02%8qRGFsfzs;DNUZiWpy?4X=HOX6y$X{k zyuBkTXU3a^oVxY7vb$XIhu~Dv@^_qOMQu;D`TIQd#1s1BY2a^Kr}^79BiE)0fI(7va9D=7C` znmQ=RD9WAz#qE0&s{Q}qM*fp3dHN&8F<<~%eSVhaeoa;_fS8Q*3w_Rdw~%A^+jGF1 z7i7CNACOQ_ZjQT$tU~o;1o*!P zyK8hsX~X@02jg(Q9+I$iAV0edM?u*~_c^05(avcH*(>(2-8{x&g#GrG!Ya z_=wMP9gKeN%%k@k8{BJ)Ljm@DaELKJm4W<{uLOJGt!0!#+`Pv85T?XhfrJtixN6NidraQIdH)q5~Z!`E8AO7$; zM`d>TKJdeyUqR29MKjX6-wembmbsu%DS2(YI8-D3v4qTmO(iBo{Rl$2JI zunKaBSEq|J7n}tgzM`d+RHJ}HTLLN^w>q(&nyk=V)6~LT;oa)<7F%Tr4X!X3JkX3{ z7FNDA0NP?cY4vv!!jdXCavpP<$p?h6AYK{bvM=qymE$~Q;Fq(x-A7po?1nd=>WAK) zb_Jt1c6N*3tc-sQ8T8^f(4e@|z7I1>^&`@Yk1w!(VK|F=_~<1?EzsFhgtAb!sE5Y$ z8+XnHxtQ~z;z8fQO6#liD40PlBn7}DT3SUy<`sPtR!8fo%{xQyk0sIN^4@+=$)ykd zoLh0O_=-LJ3E~#h6P1BVFM!H3CDB~rR6Yu1kDtb@o{6ve<}z(fULf`eLa^-NWM!{+(^cC;0a z0(4tCFDgI0JtR3teeAS0bOf*0?pO!%@=Kg3*R36CxWMN7dN>j^4JiYsU-q9GxXu7> zd&7~H+pAXw$55PZU}vEU{13NGa=whD$m4S-f>#NRA9Udt9TKYWj>@CQ4EaSeKG z5sFS-AL*GIFcZ{#ly#|Bv6ZY$W-M5>m?xw!@H18Jy`%ADh$ff*vsviNa}V&m8LpFU zr@wk<$SLxYn=vM^F~7~F=)J zAU_9n+X&-%@4*SwS%o)6_R@j51wWVghUkc*JnqDGu%IByK{KCpwoFjJX&`CX| zE~qZEs8GPJ;az}!LKS8`%Ex5@PhQA$`3;W$f|;*?&4aLPzhhBflSmey~6@Xb>4a}QnpDMGOKh{_YuDo=2EFsG|=#zr;KBN%M7-8 zluMa3l2tUo>>yIV;iGzQgJt1zR@JR~)HUKN}N4(0G6 zoTbMZH1HcQ!x?O=a1557JiWlxPjDwQLu~&ToEg7AX2%ES%0BB9%?}u63HE#qU&7dA zD~LbN<}RkKf&h^2c(g7aTTswL(S*X zSh*-uQ~qjY8*;6-#{<_n2Sr-`Oe2atT(|wT%=CkcKC4nN2OQ#~eax+KEzG~J3dEqccntbUJ@CoJx63yhX0inocUffX>4sXN`m0H?bQwWeZ<-YhNqUB8t&+FO!zHuB>L8L;jRKX|YOSJjS8^r47{X1;d zydBhkrPKRm!XLf#T2W>W`HW1eE?4=<9b73z$P&oh-iedS8PPGEyjq-7xUd-{{16=# z`=zf!2&!BTR@TCAe{@N#0)g>;z6D>KTOehvr1LkAF~y{$f|% zh83q?fvP*rTP64ds0RXbR9&}PYU;#g@0kXyKql4d;Dv)QHw2^VNZ^Rrn&9rdOF89` z|Ca2^RSO{h9bNn=8!~(=_2P5d)z5J=^#g8TTCjPcd+&kbXHGryKyzUY-I)ploB6;MJ z#5w$h${0_35_LA_BdqAe+P+H+%Eq@4k}duQP&EzNpkO<6wDwxpX>h~&kXap*X7F`2^EQ|XW9qB8;mS=9T{oI z-}aT<7KWZc z1$hXUlhpd`m$a>kzXG-R_i&jXs)eV+L~?T}hj~Hwn-N`IYY+Vzc4pl8>F+lW*hLKu z8g^Ok0{bn@g(%x}KL4I(!-?{p?3D!pv${E8cOhadL|ya|VXfSIdyXxgr-t0B>j#JS zT}OFfReqvdzc=QUkq|rbuVvS3q`62=m<#lHavw!Xj~kB4ZTxWHI*~pBhA#wf1*I-1 z=`j&xEqbbOf;wFuJXSuR1sJfLPm)j@_|qa&l#YHifNExPf=^Am2t93#7SeY%lng(G z@&Swx5quCkTcELK8G&R}Q!9Zx3-@yZSC{M=FzDd-q>Mi`(PL72`O?MGcN-2qpwQrQ zc}u6*V7OIv@X$3t#zupgowU#Dw(cq%^4l+?WR}ARW=MiDO0r%r>12g!>%M`ID*0;3 z4Ps}OwBgFy>or-1IKIFl<*oW^&!Z8W@N*>e41Bl-s!G4?9nS}QDE%G_fyo-NO0y>7grmkl2> zES4M~dPPy|;tbM}Ebrqr?9h<3dX%`_6j-7SCNpT_STHgM`exE}-d~68fA&zekuW*1 zU5OvPnH-`BG|L&aAD{-@1AgAs-!Ze<0h$0A)s|}3JY}#GV^Xs^gFA0sfkf!gFs%xi zmh1w~0UD2ZM3Ik-I)N){@`O-#iiy-#7{8hP=j92n${xE6R0uJCIyBanwE&auNx@V6 z{5W-kh7h+e$NLNhz;&Wr#Z!a01~pVfysL2b^c~U`i0S#LatqqPc3^~2xEm>Z-XDD9 zLgi5NgI6ST=q(#nJc>p;^&$&>$9c-f@iFQ3Qj|M#6YZ%F`GGc!7#7nn7`xPv9oiq% zb)ae(NH6y9+<$xo3cnT@hn?!m{9BuZW+Q?+aP73iec)}IP592jjQo-a{f(-_Kv(@X zhs^TE#d*snVXFEy>>N`4fnMR0oEwJ8T(qe(M+9V~iu@1H>>rRC_NAJ0{Q|AVYXO5C z#R{iwAa4-U7)Q;A-=Ei(8oZUqE{l2Xp*Kx;@8R33Q&bKwZ9_zzQ@8b`{QdHmHYY-$Xr=0u=X^ zHEutV;(zU9f)pwxNJtI4-zLyRFy%*7(2^GQ)Ckk1 z^6pD#pjsq@uq$cWV&_hnx@VD$UVOANgT+5D#`@Q z9L2oK_aYm!&IjByd?+gE6QpJUClc>Sygrk+Ic!0bO{>B0QdkA zlcQN^V9w7f?AGT>KtL9OI+}J@A{1c_CJ7x$m@SfTFp{0GCfRVlaC+G3kx18HH(a;L z5CII4M9-0OL+VlOlV!dh^6;Zx7l+WJHw=h&iL z(l2zK4XKd_p=G*GjXzX5WUTe<{JT&FpB>K_;sJhh9722rJ6Y>ySAGYBzzM4O=Q*~h zgnE7@PXZ9B`@ddu%l(f2%$a|N)INr@yWACoR{>;ZaJx?D0c_W?JFO3k*>Z3()Pc9Y zqnkOFuK@=F!%r^M<5~4je%rsI9RbV8C~JAyap^J%UC0IW7=v`1-~?s1c9H+CpTt$p z3@&9?b|r1MUdJMCF-)EC4sc2EO3YLgs)*Z%_XfPj16GS@H<$^ZJx2~L6JIzl8>l~i z2MdQ_UD*+YXt7+84gJm&9xc|)x-u?h3oz&q<)SVFPw*9Qz|GnuJ!ud#J2&0%e!8A& zdxoANIqLXZLzj;#3wd1p#)FCnI5fNf#91s=x7HV>_21?7j=hA0PpL9(8nAv)Wnw;` zIw`K;%jc6@bdb)&)b|9M72lAt=1+NGAiqp1-FD&xJ?{-*zfJW~#&i8WQvTP2x7XBE zAgYy$TkW?#$DrPEqUy+M?}RT?X1A_F$Dy|nSvGRCmWXjWm-Cpp$c&S`>jXN^K2UWC z+NYl@TKVs_Qt_0jqTf$wP6G!fTVZ@8S@7fzBof;n#gKM`LIQS2miqz1SKS8k3 zupQKRz_|l!mF!2;fr=+85)b@@RCa#j8#B=Z6gWCufI1Y8$-v=1v}*#M1BJVR?8V?o znge~{mG_kc15ov&DLke-G!cbN|L`O+E5o7BQNM@jLtV(}95$j%cr;8nV>r>E8khrf zu{Wm20^uI}EwYyPg~Rm;2bu4%QwH(mhA~UoNsw;Oe+xZB1ZOnp*bQyywG|?eRE|x^}*|(+kyM&A4GkTwK0?B zPcT=Kf&%yG#RgfP6W1*JP~*etN3*~je6Eo_P&nk%5QhV3H>II4kbRZF zPwSQK?%(uV{`Q0p#e+I~D%&F)kkwBRJq6&5`!t-@gNGbDkB%IcJ3zsjIe$^V)YVpQ zbw|kuRiLpiKWvI z34no^{o+lRm?a(Fm`lc+oM6WN6%GDpo%pC8!D{L&wdF6GqpF9(&=1gu*b&fJErR!u zp5m}ELCE!W;{2x#(@x3IY1GZ(@%L223Z^p`CJs{3+4}Y$lc_OV_5-eogg6%t9fc_J zN=CwEUIPoL4QA@vj89b85NEKoB$fy4D4K7YU1nj=XXlT(^HWa=ukM=otPu<7V+Uz& zr60EYe!|}(^h7?I%xRxJLMO9E#?gkH>X4W85C3rK0t=S5Tvc5nfuUmJ+$%jbyx#Ku03te@gE&j? zXPCs&m5wXvw{>q-&uPs_q#8|X0d9#y4;ri&pdAC zNO0s~svG>NXzyPc+;vAzAC~?hkd5_HBjU@_end`2-pCWBKUzkC8=ZTG^Y-5wVT;~c zlh!4J?%+qJhCCg+;_ZDz#LSAO`HBY0b8dtz@3{JoG|mfDIPRI}^KBkgoBjB43Z2m+ zWxS!Aoyqo;e)`=|+QOE(5ZsXe?wWtqMrH(<_Lof-`EM4b58f2=omB7rabo+km*w`> z5xWDpQN}dU=TjzNui{vcEi3yqjT;kbdSxe3VzwaL*AZLdoiV(7adS=*T?qLeQGsG~ z%{w;LB6Bc$nuNC+w%vU?{n8wzK+4ZGe1^BX>KC?=>zv^+!)-maWuyDl;3q9N+h6KCJ&vn+ zn@!3pI-~$3Rs2RvYpb?CQAx-4y2kD5VEVo9*??iV3XK4E_@(@!jqU|^I+Xg)Q^V~T zT8D(y!U6xKX*kb#=0pnf0xDCa+#Cf6>J8sTap%r0c_}{KNe-;oV$Vr*6mvnW)yejO zj!1O;nr@X=v1C%QMqR#qyJ$y14(`XnGv6OQvGq;dSx(g#jBQKnRWwN1YHn^`R*;Gv zTrDh$9Nfqp#MhR=(J|=;KwTYQCZVs9-tztw(cXIG_z}M%t9?5T>U({&H>6clQMb3_ z2e-!X#FI7wIiPV!i7OS^eYo~DRlcBn_<-{pJch7oySCBn?3dSbLTO>EN}u(~$GH;O z*RG&m*Q1%{>PmRg1<9}9iGlDoJ*yN?346O?Owpj$e7*m%uy_CB?z1y`sYilHzfA4F zvsgBcqq}Hu>Ndf4(@g-rX_QMZh*(a)RPF)`Zhfqpy%ha5*2Ai9g~g+5_I&kYNtj+DwM=Ix-5pB&OoeC!cx;~UkAN__Sqa-vysXj+HELRgq}IQ&WF@MWOxm&vlLK&7uiWYT2`XBw^Mjg&cdE9QH}f zGh$-1r%R>Mr;z39QXw-WK~7U-`3+9~;g|Wi2Nz{#^PlihWJa=d(4!iw_3)b4_+FLX zH(!laqi5o3YA(baamZqfQYr;j^fq@ps|1bm*q9Ao#A>^g+rdzub*qNPPxu?-iu5e8 z8B=~!Nh+;M|J!U9_pYSU^=OOa(sMVt>osa3m@}9(j%huxC+8lCVGeau*LLC$$N}TH zGW^D&yuKVwf1OKQSedvhIO~DV5u^&iXRW z3DTmyso!oAe_QvFRm#M8T~v3=y%nwPxtIbqMg?p|+hROl zBQ4k5S7@j)WQ|9JjAf6bqgrpRuG|s2mDHXxebsL$V80$m2He<^eY4+5ZvwvMeiEHK z5>@Bgby)ay^;v-r$3k-x>RT+)Tg)}hM&~qz^`{D#r=?szu>1^!m_mx8ex&G^_YBN< zxodLrq3Fc=Yh_KZUGTl%z4Q9%MLe-3#e;DVP1clYYjqUAg&g>3yeZ9Xmh8n?{J}IA z8zO);)=gS&G}*aJ304S1Lu zDUhg8y^k`V3TL@*euQn;QzFcqP*N$b)yj8U&cUUO;pJLz9hOmTmJ6S3KPf19-1H9k46h?Q4t+ixt` z`K#{GqSSf)joM{9`qkkd{b`>}9Y(36`K!_s*2>2T@tG@ewtRVsq%-lSaHAfEwWbt$ zVMWPp=lmXg4|WhTEDFf!Lti{sc=Pj_RA~o%>Iq?wiKM&kGw1n?c-|yVM@LOLIr~mu z@zLwg7zyxI+FR8P_SU1|VK)YxVXW2Mi3S05p&x@l`xPEk)Lqeb(H~s!&nbl`{yJL* z3Pb@pD@%D2dmki5n;4D&g;}!bdysESzdYJ0Gr0cw2_=n|-{Mo|abZJt{`OWY>AJpr zb@kEgwTd}k>tywB(OC)64da2f8ubWk?pzUW^z6 z4vA4I6Qg6lerk&a1mPaEE8>&2qfhh&m6`mQz~sKF7Cl=!fx5m`N~Wj1Lu0GWE4OtE|h7SBZ& zp-fG$wOMERats8dLjIRE%`p1iJ&=^r2Q|}#MWQ+kE#3Kh3$uD1+4*~o0G1ooP29k& z>{HedBZDrSwY#*jejEVwD$457wabPnKQFTLM_!ZI+wsEPq&;M{qGL}*qC<%YG)->O z&H*_WMW>Au2Jc5-z46D2OqQ_^?DkMi?rRDOh3}7C!O&Ry4Uw=hwv7E95xZ1KNoyq^ zQ_YGa2gkG>J#iS-*gal9WU@1ABAF7dq0LYK)^FUyFIB|xGvp9lv1n^V8g2Uxk{=kY^1QUX76un4%!6xSIRW zH{;r;SNRMT};jwWH8*J31i?{J}#j~6+x~};(ZFEgl*(5fw^b9&`rD{1@2pf4y=c5GC@{B!T z&~y3e^^034CN0q!0}BSQ_q#{Srv~rbWpOuHsaBq@qgbiTGtTOks#=|HNQ zU44hBRS{foHs#R-Ts#x`jV}+QFdBrv>mgTKG-{g5;>_MjWK;}*nz7_wwB40vY?)zd z_%Q)=6rYj*l9a!$jxC2k`^pT|g0BV`HAb_t{kNw_Vc(tfnJv&iGx_@ICoucKE2S@U zHj1qbpGy+4JR?t*tO0e#ZULkMy7Fr! zE!fD5dF;9ZDfewt2TxKIbtsB0=9kOWAlha@Notvubic@r<)+;zg$o9bT1TaEiMf3TQ#<^eP8eTJ`d)_t72eGe z@+*88Blm7g!eKckMGb7Wo2F1i{EIZW|Ko7UdhE_@@ksb6at-pQs_ot?Y&-kd*aY}M zm=q3pPoGaT9DIFWkIw>bE3#5y=a;gg6DSjmd*5(!zkk{U@m=B~9 ze3Qc8ejI@w1H|N3IwBesOi$o9}gaOBV=G6Xg(4kTJMNDSqF6Xmwcg7H&szHZ(fDt zKfls9+d%ShVppfGvDMTE%(nOTw28@`-nh-glkK`pl2GZyk+?Tcdui>h^N9!55dOTU z8bXQO@EKf9HjeqA#w$lOpYK@M zokDqbw5Zi4^G7F)Z}Fd|({iMH48GWG+N~M+Sw90k&nWZY&+{YGq_etV0=n+0D^QFr zq;IW$oU6{CY){pvVLW!DfrDV}|98j3s0qD}ILqL#;+crfK%bpI^=S=0;%yb!J*4N^ zLrF*y^qkl%?P4UJk!hmwK!Hd32#X~oI2PZsZBrO#OUY^25N zS$z?75TEj-DPQ%uVM1Y(_`|ekU#@b@K#9XYd6Rtqhu(q3s3MH6$mj`2p`KuB9QV)F zG%a8J^`Ny`XMZ2JyyEDfxC-GMnqMi3m)HV2z;YdtQ-so~G|uUpjt6j-UQQX3T4J&B zI8Y>C^CF}hWA7~FU35w~@hpRvP!B6C^PDnNJ5T+|Iqt zc*>lZ#vV07h{A+4{bxsTu$GzhPqo9=1k*8 zg&pMk(U{8$2fZ{OVEO#FhuL<_IENDNvfpr|BUeAyldn+`yPv`v+nv#qrmz=At4V30 z?Q4z^c_q8M-ja=g|5u+=CxZVXby}?o!ge-IK0mCxU~(sB%|=t z-$KG8FWDD{ii}EOcLqMY_PVJT^Nn0!68q%YOu_R^+gAcApKUc0TC0{WJ-Hu|2XrYU zl5%7tVg}8pWym9ZQ|)}3+7dRtrbcyE{BR>Ur+HK^J;!o)tiZxaf7%-OSd2CNYzDsD z>G&TW_!+~@iC;^-mqm7Y*wJGqWWUz_9%(65Ik)-SxlZ)0z|2YCI+5~l?30P7iCfn` zD0YE@M!oi;m${hbBpnL6^V#!+#*MU>BJg-p;{)@-QsR7%3wnovA#oMk)$sIXb3hK# zmJ;^$!TnclPI*~TEYJcFnmZO`YkGd{V-`h6O@@meu=cG?6TJZ!#p!E3FPwg0`Kzq0 zo**89Pf&y@OXKV%tEH{nSd6Z^swuYKdX@(J{NsUgjil$=1gm&QJ+dZfMy`r(yBSt$ z6`wTA9*d7mi|`&8Ny?=XD$g+#^4Ex$%zRy|&-dEOa8Bc_5nHNpnglv(wB&M}Z?ZFV zQg$#n!LGnnjkJ7?5d=4%jrK(2or#A#Z?2VoS}xOf%z#Sx7;@)8y5beqgKw_zJ(+bM{rTL@CGo0tjZBRFUS@{2wDlOOaj=&{epI3+xzuv10mH0y8eiZB0D!41 z{ov9IGZr1^ey!~@A1)5b>S`8I33FFJ$0s*eU6^v5?hGZ!j-P2stH;01&}HYxsw@o+ z1Ibud)X^g~s@jm%Nfzu=I!_H5@2}PAULkv^@APm5N$D&yo1YiqlaH?Te2`zwtv`$E z*PEVm{SoyiUPFp<@PaS%SgaJQo#} zV$)680VVbuC+W&L-?{V@|6^fdQb*~=)K>1v-rESEx%Hyd_Dsh~PF=EZaO1s>TTtE^ zG#D5>j8xceR}k1sLr&NB3DO@Io#=8*Pj_-H+bQkneH4(RvAz8G;jP!#`xkKz+xau4 z8>4^1GNz6J3#8y8?yh^G5c;rw%o{bg?5f?(s%)o&R+m$wPNM0eTIOOgt2U172cm6x zm&$mnI(rHUq|2#ab`e{tV&dl4&K+w;e=y;8fPax zO1)KX7y|c_f>3kP3`Rh!Rc`YlH$kJ_pa|DV=c*-KR$}>#x5{>L^Nmv)|L%;nLfPxU zEu?LkO57;hD1ffd;_U85_O9Vdy0OskO6XZ6Z*sR^I`KW>F6DHT;??@rMHyRJ0ivyA zVrCm-Q|lD3kbu6QO!R#8_5A#;^BTNWgzK`tMF;+DU2j*XaI&KdC$HLDt0B22{J!#4_@xf&`W_Fmgtq}>y;A(UNAY)8mLInG3@n|;ZckiLFsxiH$i_-B zd32fG<-nDdL?% zJ9N5Vbt>g-ctXkCc2`5n4QiQajC`+Uv=KgyIbkKknowpqEfEyvMY;AtVdwga(dTWN zogtbYdE2s%`Xhg4C3}jiFdiZ-2Z3ub-s#$j(-F3GWwx0BmQmsen`$m6i88jx8<$m^ z1vt{Tj+~y!sXL0zimP(=OQg(>B|q72E2TgGNqSu_dPond=fzYVJt&zvv?Ri|DjS-+ zo@v=P@DIPOSnWygu@1y)dAB`%ds(X&!C~-$hIsGq~rImVFgREFD=E*INpI z-aDDNQ>t8s=;OnM@lX+kp(=?SY8hpKh<1U6i-O!(hYkmdk_+CrjGOWKsE8G%uA<$r*Wx2b> zukb2T8LxrSlABj&*+79_LDtN8+2FPlmZ{QkVL<`P%1M3v^8~nEhQQ~>$dCPKctzRj zdPAL?E#jF4^1fSMlj$DG} zQN7~XWqAmI67UC~FiZweJ(?_++w;k5bSC4nNv!AmcQ@1Rj%Eh=cVDPg zXX;b;JSo7v1TQC13I@DzwN+{~wPXrVNBjVRpq?ox)R2k&M56$OOL{g^45J>Wa^)vsJ3rxe>47w{3I)c7>=%w0FEw0(bzP2vYyR2gs}@qA`(k%byGD{-CW zDYFsL6yJTn(IvjYdwlL$GaoKXDrz|F176;3|*?cU*z<6=@1VxEqz?>wS_=PI-;;OOcM!JBO z0&_qFw!La?{l{Je4yiUEF*955D5}J2vc%puZq9^*HK${AisZW6ZChwrg`B+_ui&5T zte9R&xK=(CNcAbYayc2UJpW`D&GfU8-9k=I5pQH!`iYvWLl^bk)A`m2b2{FLiBu!` z0o+$uj+~EdKI~Ut`vW-ct`#JWiX>m_Xl#G(bwe~M$6HY(pb&7PBE#&gkSHF@htgAT z!bxIQL_RD^!$u)LE;etVW&dd87*d1j7BWh?)V(k^Tz*maLiiC>W6ULDQ>H{!w^jX$DJ;QLJ2mgKfo6vswEuXl zPLdpboeupr1PUjI_{o>R?s{hzH}1Zv=9UMpLRcE!u}uJT@Ll6X??SV$9UFy8Gdtyh zLs2$=+yL(!DaM2*rh*p4>Z6$WWNO4f)SvSH&#O9sTQL z>gl@4ekLs)Dy|?c0snk5QF|ij9>LVo_nCJxJaLq@@X}ef4Q&hW zPyFgD*)Yw;Y9*eajJZ8eIM0=xdQeI)M1BF&ckyR}7s!1FF$o z;b#pE-W0ovz5AtSR;bYmOup~bh(=aJvEN}^a9w~6y11bDw3H~kUF;Fl{KCN@xN3haK38uz z#fP27Phn?&E-2_!oT|x2uFC>40hZ9Zm&zi05hTX0KsFPOk7FdYObB5RLZ6O)y_dhzry&Tf95ZD*JbPm~M) z7l*aP-Sxy#;3=l9M!R75swMr(#Yh7CcQJrv6ZFW_H+|pJ>toul4uC!vOUTD?q^Ew$ z=(JsnQ>vo=WM%jnBW~}Mma+P5TsE~SQK1TdEJ{f!?B4E1k6`Hk-ROE~8#ABg(oorC(KA4yCDpzL6Vtz2Snqj^k61t6x6j zo*IRp_h01k*9l{i*k5ay`gA6L+on-BU>b}g)ABTJ6jRkfI-AC! zYqIgFz0Vr9JEi`v!+yo35h_3e@JRE#k%O?gIEB|;YQjx; zx69W-W;t7&?QRlkIfL(CZEoz~K^H=LSwxbhcdN)|6G>F!)_0!tg^V!^&tDi7vN|uW z06OTDobd}C{CmCrhK^!xBhYx;iUx}pSPVvCEVLTW+IUq9H7*UAEJZwC_xm`~E^lS` z0ZGJ!<%gh{b~yu-$t7%W)c!t@*`_Q)S}fR*rD=ElWfT z*4R6+T4<*L4F|t!LEbS=r2+)S0&LacioW{jrZIWV)Clr%X$(^gFB7|@QCER?iUeO8 zVRLP-0s6JP{LtZAe0eMQJ1zYC57R)3P;PWomNj2Jcw$vhVha+~?Aeh^<}ATW25}Wi z)9W|8%krt)I?)KhR0^F8!5F{A-xxV)H@=)>z$VgtSL>QQ)8cip1lplS7*!c+a>ue8 z@_EBVYR>)&hrCj@kl(_CQ3wq7Gd#YZ7utb~Y3LaLq6a}Mut#O!dMFva%UbkV%hPZH zPA1=5@Nmm6pVV~5*IpwW>|A=dLV*KrtI_DhtA|tZ90BVy1PG!^J;yGJDQF z$ajt}83t^B_xFE)u3z!w=~+`iE;Lw55G$uFj|zK%+Z~EsbuiX;kEe^!mst zQ$VbDjdzx{cJuL)tM7Q^b7$bmM?rv)rhFw$IqG&Ncl1>q7OD302_ST}1Rep~mxq{z zPx(({$!~xNl;Dv`Uki|Xavqgn@rw<4U0v3jO(Kq|c@DFk&Rg})5dgF2-CBOdHhZ}s zX8~YafxQWIyY-lgRa49*tf>!_amLT1f1zl5q2u2U>VMdg8t8yr*pRcBMYR`G2zS-EX4$tc{^V;HtK1-D3sUGOBj$>P!w=I~-Ql($y+%=b1U;>PVtb;U zwy6}v=8YeD60efgzvWNL!5n}VIU)KXK{_pFW#OTJd0fg{!=FFdAYtO_MIFB*5i=TW z`mpJQ4?d%(OfDxZzvjUB8I4> zYG=ACt5gK2`uLZIfv*2jzbqj2i~eW#U%CI^BPdevQ?LsIgk0MHE4|_>bl&sTWR`NH zqJ%qv>96Al)0sR=XNokQOBYav!LV`=UnMx%NoDf0 zb}`(e{FMX9^utD{H?839G%VNQkW?b!-GXojDhdoe;RegUSR<+3bJ#mVfSB zIz?0XAN_)VMi0|fZq!RvUXq7=8I6qNUL~wVU2(c>y!a$K0xH2m>H`Nd3!Id-(=_z7 z)`~kQ9||?d2j9J$-fCED2HkVFAblYS2|g{xw%ke)skm0QZP|U~io>Ny!tDy)|FtX@+1U$H(JT~ zGgZ$(_kxvRxyEP6eQfoC$(H#$5gp%C^mPZ}rp85>dREB}Q)n?R_%7WgZ9>Quke+vv zxLWm!NR!&`1|5`s({lm;#8M4O`wr1*ya)~J3Eo1g&!x_ATaAzdO*kq*4;BFbRytE&ipq5;ODeVfN-Ju5l);0k2>3m+mQ ztv&G#`-SJ<(&t~n@ArTC=a0~{kl2seNd6}6{4S{e>IHz~s?c92~;MH9BP;ag?V|~Sbfi{}@_-eejqeVv4{_*dLYz5-D--IQA|T>HrDp|I^-;heN&gecAVv zN+qRJX(1eij;(1`gi`jsniQi+vNT8&EvK5C7A7g_bSMlnMw?ygP$pY4)@YlO!Gy*> zJl|V%>N+RS?|J`uulIVN{+P>^nen^t`@7%Y&*xj)rS_Wf=NY@R_F4Q!F?_6w)tvNa zCx2a}s-TyicCzW8ZR7VMB>Mn&E7?7Knz(nKC@VTugB4BRuc1TP9lmpI-W18$->4gI zVX<-I7Vb>3hgSp*5V^b8=7g4cyOs`0LGrCPN%NQ{rU$u)^PWklNIcnQo9{n+b9G@> zR6`I~D#FLe+Z2n{zZ@YPYc`YC|NO4yf*3OosgwHzO3;BbqFaIGgvgVoKfqTGFC(`LeYTo zYajFq-Pf&ix|I1SL(N)A-^?wdP*1x1viwg9dTN^LKg>415llj>uvB=0j{VC$RcTsn@_*%S-|NA*hp2r@xX`_w?zq;2MWrwE zW*a%Cs!n4!?c1d>U9w?j$+<7Bhu?nU@1{X}si^fVFf4a0a&_#pWk@w|IBPxH-Syt+ zkQtOy?OVTj`hVOU^mO6ss@+QxLE81Vr5pjJ%$&Y2)8_=Ij4x7r-{Z%?~Pt97xhULEGn% z3}l!=yG$og^sm2yjxn3bja&CStjw?Me*HQI-&%30$dkxkUNJ|yfz)w~S$b}9TJQpI z8WjqLq|Um_SQf~XUML&A)&7chZ6BSvwYIOlC?f$^8}x#(?#IIN*K(4?uB3#Q#_8S# zWK^j2b>0b+Ol6{@wMyZO^U97{)5r`tVw)tEa~Dyoa8@DQcljV|&s*#oXd~4SRI^@{ z@Yca_>cqx;R4fXFBpdyT3z?tO{8HksEMvla@3g7W#vQ?*+H)JyjVUNHd-z%e%Qq!z zR2bR3tEiZP@AyQsh`D*|LzT=9ndKtT@^5u18DZ-cy%@i??7np9;(POoQ6}*=76g zpT-+2>`j}hN4(x$a%WcXXLowQHjusQsjiq@rUUtX>$o21Ih>*RzDbVoS%rrK_Vg~t zbikt#4eNP!St`lU$S7lr$`u_|<9W~a>)A;)^uB74=w7I{mo8SQ)^faZIR^hprYzoS zrIch)Tl6zgKElU1a82EwVnzKjvOf7HsFbi$-O|5GzF$@7Z$BKGu{TcB+MiKonLAu` z=X~xA0e=`8Z_lRWV)?Y}DV&Rn#>V z4X^?rmdScT3G3V;#m&vc+4C&g&tp+uoah#%x@H;Zu;K~C3Q0t-NNh*pp7mtdbqSf# zG$<3nZ+bBoiwKCXkC%^#(PXYxB0vOI^5#$VP81= z_=;VDn_z`#GmrW{NXUzbp5|DDf6|Nx!^~^RO>lf8KQ#qaT}W0O4@rgt_Z|&~Age&h zss_us7HMsjCaf*FAnvJSmfcTB#rdy#6i~Y{We5ML&7RM9CLDL4&8fW^maw+fXy0czA>qTjH?xL zGjbV2+)VgnGp~aW>}%9}0X-|Z7pF^duO%3d_GJE>r;$AcpL?9O6+V?c7hW>%V5yIg zCryF2#P)mKtCK$R-?hJI;?-G9PD+YmBS^_&-mm*3RzNeK#W$IJu!vLSK8k@< zZPLs6ScG!`Vl}qg2>Yf?#NE?pM<6}wYbT7h0{oke(2j@nSdm*O6~XTy!QaDbjW>O< z#)jVP7tHFmk0LL+pVm~PkmlN@r3-3C>ZK!6^KTgcFns;ysbu4kBxUaPS0!*WWlHo6 z<5u|^=p8klBB@+(CXw~cJAe3XTrG%Hhfn0zK5EsCyaY+zj_fP<%MUNIDZJAON=j)i zi^lRbA{qxku~3?L>Bf!aC5^8gL_*ZUVZ9vDyeC3*IVfqQ0kr@ zvvk2-zM_Jp)9TeuSn?rRMggDNzJq@RXqxaTbyX65Tg2~k^_%Ye(VBy^C#KzimpSdn zv3OM>G4Li)<5pVk)hyWn>Ud^l@aql<^CerHz5`YLEvoqLL<@vuz6Pf&YEh^FyI;p2 z_axVv$D$v56#dkSRjOcd0F=eh|2np7bwLt=e;gchcqt|BNeYRn`5=4)%JrB+ULhIh zusTZ{p68eoI9k4&k=116vODqgG)ZnLUr~}vxtaUjntrg2vbS-g5zzjeGeIL=QTTqQ zo0U?Gw*6X<`T^usu&NFN=cl?Qia`mSZ=sawK@-Csko|@;_8E`fC$;vw2i!fJwW<0c zDOe8TBkn#TCVg2_;k=0OC7QqsmG3-|BKIDAW-DlIU&XFV39S|D6%Qy9?TUnX?@>En(80n09$!?Lxz zw$f!cj~<0RR1`vi2E^=_Wo{ePp78Z)O2OG@oan`}AF+3EeoMyp<6=(>|7r8xpu-Ls z?<>9TCx`PLdus;4yJ@HOU@A1k3)i^a+g|NwQ%DM)1W8h==dE0+2>%P|mcVp6E3(NRlri}+pPiK986A^ps^i?qL`1-TPq;#jj@A_1} zrrbaHp>(^c^l^%y`6OhXilXMKTN)VP0F~J_O<3HlxP5%4S?yTTJIN%L(%|pGpm1I0 zS*X&YKVdmmTs#E{$(ZqNpy9V=6pT5ol{3&WQF@yQ_Hd&j$Mxo65xR>w+!EU0ncCUn ztd-|uG_4y}q4gBkZJRLc8?(gX&aa|3bhDBr_TMgBo4_bj>Q4KU1)~)rZPmxm*^u5A z8wWOtfAxhtmMv0CLH^~%DnNyZZ+J`5wh#ZENQCHYBd-9CVqllDlOW~+aL;by-3 z$`cODE=ksQG-bbujOK2`bJSUZ8ObJvj?caX}rRvH=kJwI9K_{hDx=NCF$o|rx= zh#i)KgDP)2kLjR(#d$B$*uKfK$jc*j4I`pps(6*!xzSi`25IdCk1_r$sL`d~U|cPs zIc#UyX55i#3bJ?s$@oRhf!dBxW_T~@P6VAT&=sSelC_0(@Y_9 zK-DJ8&!^#&BA>L_OI+YeMy%Klixi8J=2sX{cITG=I#nLH0et$I)&4cJ>4_%^TV)?B zlNsa(TMRHo=PknRiRWqMN%AK+-7jt|<-d^|$Rd?4z?VMCZ<#5~dUzjd>vHuHhP+&0 z55QOrIa+XA_~!9POb_9mPA0?U718;18At71#M)l#Mn>yKj#Q;3iL)*7jA*F{IX3^f z6Bg^fdEsyFwd+=A-=M)o%OalPUD3y_(ed^#r_M}qN)FY%FPi_{;COzkzoM}Db~)ON zS#6-r5A%+Y{_6W0m#V+pZSBpXt+-m_z&NLC+XR_4xAaktR9_XKKEnGLnQt=e8tV+A zb&*RlP{#JC70zpDCaL?wcly_=zoxI8#Be-tFkd>tqJztA!y;8`={UbtH2I?zZ>s#g zTqFU~K;Ata!=FZiFMA9$Ox1Z&=)%7*^q>9*rvz(rQFXu)kfSXONB2gOcAMv6F#)jH zisK+SN}Fu4l#ozzqYBHFE3|oTigCS%pf8;*cEJYAzQTL7C1JVY2ckY>DeIy2{&)K) zv`7El{t45u{~hW7)2muRNJvp<^ZGSAevlykAJ+t2MgeN=M5sR98GOTWEd>JtPwFU)LQGF0oc#&_U zVaJ0Dew70NU}Vn=H2uP6F`-H+%yftF{JfHtD&Y^))vKX!w!JwWi?tO;^j`1qijvA7 zE6c5fJp?ZT2^g#>nG6kL%7^Pj3pbKJcSHO6YQ9SB55?v$AL6bGb@Gj_dho1s1w#uJ z*jAy%nBtyIXn9nN|9p9UdEIOo*ZW10hm;;Y#29pNhPo`U3T(hyTPj~JS~gcV}WBu z>&Q0Ln}|A@5q}C5kygAL0wzss1kd1i_a5Q(mLSHixK9y_R}$-kv=rF!ErSqv<+%x~ zOk9Qfva>T+l7U=de=eUr+FeR>&Sbvb7Z*^!j{{RnI+iK)AYP-PKi!5lOs{W!@TfR{ z6(Sp%VmfDAT;Jox0nY7!$ySF!Jpm5sJ2w>jw`%o(+@sMvmwkFg_7yb$|3vRtNw%#3h6vb>R^sjeC}O#vR^+Xw_=!-vb%N z5*Z~;XYc;KGS*MqfWOo&#riU^vUn-?8bX@^w|(!#QvPL^F5=>2akXKBny{#KlZ_9p z$1^?{^A01`S~}WHiC!*9yFk}zljBd&>N*N30o;Jm&X=QbJ>lq&^H<1mV9bOq%m}?Y zr8opScO6{^>ub){YF4e!Yr|`)M;di)+SNbW11%^8evBc&Ok4Fwj`T$y1hh^x!p)~! zHibYZvqsEXW~NkxuJ`BOT%3KFKm}84f)K)%FKXf2h4Jku8KVu}md5-S%(^|Xy3w3c z81hkaT~K$OV$ar8=z-Ss6f}U4!td&jqKDw$`U%w5WWZFS%%26jqi->5tKxd@kfOTa zcL^aa>*jfd903^fcGrRDR6P^@{HH(r(Xv#4ftce%40aNvlcvLkdS%UIVUJKw-~lY! zzGhmBnnC~&5Kw^zQO}acbsHhY82Ed=_3MtE9M<=U!(?fCYXC9fOAv4yd^+hkVjbeZ zv?)bU@na3w&8y9`%hP?-W%X_~qM+d%GJjAxt!V2rPCv*H5^ zY`N5h1R!iN8Sadv0xR%?bb+Tycg)?yI6_E&7?Ei?a9$5zatTrK4ma!H%pU>_&@y#f z+7iTBXtSZMNSUYsOkjbtmD}@2hB*u7^>2FX_dk5N0HBtqP7Zk`LfJl8sFb%AsLC4p z8apf!59I(gO)>(%5`!BWHbyY(ee%=rs5^Yt?AeaqcdxQw7MjoR;%1^el zvB|FYscB~-T_j|;-=kE+2y1JAp;|=|!v-5D_?M`>vN0))i@p9JzQY~Zz05T;|9~=2 zmdl~a4S1M}!Y{r@M|fe@bUWv5p*6E54S}$o^*q5`xna>IU3S3p&5NUe)Xy$}NC9O^8l!qkkc&P;wO0tAh6$#6_p4{YPx0Gz_q)hUIVFi<=HHydigfe`^X| zGpti7tg^4;CGSY@snZ@5t+`=-fc%L@$dPTC8qEOr*pC2Tr72Pol!_J}n7H8qLjx=( zPDmQCj81tW{f<%h5rYF2qV62uB4kt%6B(GPyej)>eXz$G=0a^i>HMrA8GpK1G}}5o zWk1sJl2I10K^m3Arw_N%OMq+HdAV16aN?z*#t$ZTfQhQi+5D802v%eQI^&U?w6%RJ9YhxVm*;sX2T3oX+4ct+#Ko z9eIpL^6Cg2%(}41+$@nnkULgA`0UQbBptSqAOUBeS~UU{r(rh{V@%PXHhI5@$1kZn zs=Ti4Oy?g`Y&F|TfI+3zb`aw9zX3SpGUVE(Kk<5Lnq96H*3V*PH}TWD0I%lzxJD`z z1po`8{Re(y)SzK`zZ*D|E#7X*MwbLFBXFNILMP9iFfSd8;$<%vAX+$t$=*munTk%> z@KDhQwmza(=m%yOCmT_3fu={w7C|3EJUN3At*$||Ain@FkCUBGNFIz)Drp`nZKm09 zQe5X(t;+*s-!fz$bN8m!Akb9^5DaO;Ftk#~X8c1$0&KSPV>3$LTtEM=q{|LQpm2oM zE&4DTG?;lh#PRM9LluZ${Bj$Xv`23ZnmkVxO+NyZ0aQR^T>_hR53qPcMGqDs8dfF@ zSi5kvUJ-(I9l)Y>Ata6wxR!R(^~olE?wj+w$`Mxa9>i;1K#I_?ATgqiqBWN*Y}PRhA;=|-e(uMedJMb5)&t$UlXnhWyqVFR@KX3P+XK`3}`~i z*=rszg2mXwds-;4UW`}ss4^CcTDUQ07o+Rl24~r(}p-Umb)D{e>=xA-1 zgi>sb&1#^exMoOS2aZS`8vQVaGsv9+>&1Bgj>Lfn;t-lIYVh>{C;oxlgk-*`(iOv_ zpcAbK1aZKcZld)P!S|Ei?$yF74*&1OzhFc{eQ{^1beW8$5d7P`!E$}tTK8lB0`a-Q A5dZ)H literal 235526 zcmeFaby!qg_XZ3|Nh1vs0)mR9Fmx$`h=79R&>b@%-5{W#q(Mnr^pG<{hmsP45(6`Y z(%qfk;d#UH{k=TzcYS|-f9Q3=9Oum0XYYHhb+3EvIeYW`zJ>}p2{Q=}4i35M9VIOs z96~e>4n8L_A@I&+o~tJ~IAk*Rw{G26y>*M@zN@p1J;WLZ=g#wZJtBSWFZAi)S1%Oo zaPdDp8O6uFiu>V7&&?HL(9H`Raf~z}5v;}!A1ztnvQ%ArXGYKzGiZSCXL|k0l?97W zg*B?U#yjyVY5s0289`qUXF4n0I&d;wUU6NRdYgwh(aDK7Zkkl25Ar ziLK;u`P7Umk)?iPRsugoWMUW7z>@Cr2Vy4O&F%+N%Jo>j$SsBBl%|LC^?exK?_|e<@~$^wv4LeSPyR32u`)(_}%WR6(R9xFJS&{D@%axp~CC z8NX4COppXaL7Jcy5BdD+WlK(?na>kM1bovm9ve?p&)-d>d>7K--K?L=*&eC0KQVn+ zbDznXq9o;mkfJ2LrodxTt+%nZ5hNBgbUx#^B~w@RZ_Dk9P@UK3AnpmKMUn}fpTtoF zJKqvK%$_}udy#|C;4$UJ_|6~CXnkU-*k}}}cWF4~UXVqT#_g;tUYe|@D2aH_)fTry z->xzll1()eO8kQ8L~ZK*lUv_jeWGb2KBi7P$HFk3LX=W)GPV)A=oNPU&7I3!tWkGR zjGNqqG@;MTo2cHgIz2o1Dd){CL)b7KapO_ZCm;VEUYX18RBY6RG*aiwc}XIg<*k_r zq}~QTE2U?WAHXXQOJ4ToSSIa%D^eKFf~PV}-eNv}EL19OWzb$@t@HNe!%;cY;UlrQ zKr363yKKr79GGJntr3%vfIGK!7uXlxw~1Nij2662&zL9+%#ou^=L+0zqPHL_b{o99 zi04V`h~vJ9Kky7;(Q4&w=OO#DsPL2B+Pc5%+n68hYlKAw1+Om5Fwd~f2u9T59X}kp z!CcJqJnK1u!4QEvk3ZMy9OM$p9)F~NsGl5X=-~F+t}hL5kTZubY^>5J2ZGK8Zk;qECdi5>tis(5ryz7toQ)Bs7apX8~ z@IxO_ox7lTEeWTrJ8Z#-EbB3onZOlXYcnQ&@_|rwGrqy|+mDYjaW4{NHyAuR4-Z}V zAz&nH{DWZj+)9HjzTzEXy0@1IpIx(`|Va^L>em^jKCoWjz8?h)gYpl)N*WWnZ z<*M+FBX!?afAig>^*vu3l6FNw`2OwxiZ>S?o?y*>|5i;ek5eM#M?{TAx0 zQl`yPB_@kp8cp^RtX@y}B*-*BSMFN*)7LSY#;!CitkEA{JEmG`tf$Vw=L$LZDW!oY z>XH?87S&zisV7TMZaulNYBJAR!*$`guM*2U-Wmq&=aNlxP0dZ@O;Y2k7DQ{pB^gSb zOfN3psr$fqA^f4jwM#IrC7v`6<4Ybd<#KZJlJY9@p5%PUCDw`1Y1i@0y{K3DZvEcW z4TIN^+uJ;?FMKBLCqGU?CwbPbT^aUn+>W%kwf2!)%k_%eRmZD{xEpbPapHM-dDD3& zc`kW){gQc(Iy-skdI35657fb3Cea^38tQpSC1^NW6@hVZ&Uu(8CiXa4nLktDt**AF zHv4_~oZh~)zM*-Ut)Y3k`K@`qK2wJmVg;f}%rv4AqU~Z7c18oU{oIa*j-{fK$z`H^ zqLhxKeT%4f_LX+cc2kc01L%()iuvG_4^S9uL04~jQLWAaeA|*)xh%89&Im1o2BDb@ z6Dc0FDu=^fzt_$xQ^{7(*3<)|)Wr?F@|>P73y)~X-s?7ug(YT}KXk4iC9lu{o zWLwewXnFPf&x7zW;hWKm(c{rsEKo5Av3YTjFohUBQ_&4M=&<8E+Y4r|EKA!bD^z2z zcJ*~XG^=Xgd@|=&C6K1t{l4g9dCx&-ROjc;4>sUVbf;VjCW-eALkjB6Sb3(t&~*`h zT?0|@ra`iyvccElf|44`+eiz2YcQ-t%64lM-6GZO8|)G4Q661Kj>&4vYMD;w?;jZR zEQQ7|iAld>Z4^K`g&J4OI;=QlKuyhqhHyPrA5lp_9?dc;GX501De=ysNnJ%uCCl=y zW%R@?UfJwB*%sM^*@;~IDp}D+a_hrw&R>_m`h3Ntu2k7oKdGjz7OkxDM0ibA=~kGq z+-9W{aoEmjc~CTbad_8>WyGnncliAL#=^)!`lznTb`LazNnL7n75gUnr_qt7&RT|mnkei`*L(w6K(AOa- zB6(tA$}c3j=jTX0DAU+{MWU$asgW{^JeZ^|YrV3A&$5lSVdY9Wx4D%HV!dhY*{{Yx zB5uC_{9adiBoY}xuPom5n9;MdJ?WqXRPx#~wuySeV&d9(dP{Xv_cQrK1+}E4V!ofo z7G~q$o2pfjs^33MTSZU0eChwPq8*~8`@ubiNz!IINi8=lH>9scRLjs6y$wGu`DCdV zyTm*rS7vVKdjt6`TYFnLzn#y* z>?arY)zqK+KChUZ#>*f` zp&utDAjQx}8^WEwm1~*IHH*xYu9pf%Rz?aQ&#y0_O^Fh$1nj}{CGHa<<03yxSvrmq zSB%~w-q|%z#6RF$(EFwrU+7!yJ3dc3@Cj;XBQ!w5b(6;5^l$kwxQmcq#2FW9oeAG zke#QE3``6x0zO80&K}OPo7D#^;Q-~$3;LNjL3SLR=NU&_4kJ$Dwe>;^(`#GmJm-8j zw_;dS#hpejdX;U^ujuY9)nJO2X-D_`y}rtRuKj+HywkzXD4Vn2xEx!h5&PAWGL#J| zch}o}M|fu~lJ^y_Y1Op+M>+l=oBe_+4C25}^N!}hMoD+I$ukrGW&S1A1mWt!8!NW`*=7w;r2NA|NM*w@Ot|11@Lov%|Bkxy$Zu20{(Xa`0>uf``4!l z(V6G|b&SsmoWoJnzNM-PylPvzT3b80**Uv^TunO7S8l(#JBU!RZyj!)kf zd1-@IP5jJ9qa-Qi6hB zUS0xTHw2trZ3TrTB_#!gLLGyZJb|n|t#+xpDoYk$<(LWbJ0@YX8XH-r0%c zv|V!xXAgH-PR`RC{rlfP`f2TL|LaapZvPw>FhIf6GlIebLW2Kp8@N>F^j)d@_TJVI z10{PXfEjQPIbk6&37Nkx_&=w9-4g3keXL8x#YC|$#X9w$m+H7#yWVn!0ylM+`(?0y zUW|S6pBKsqo{k+0i+=$9*Si4HawIZ>|F)VO38A(S0x;x7dnL_>z$@Tpr~mM%fnQht z@p^ik>?#^<&4z=cfTOCU_|O}7al|LiSSL+zm7Pk2*Gj{>fcuH+3(;pB9M7(-D+Px+ zO%uV}&M7T#Mko@be zLjV2zUzY}JDfCQ-pVptRmpJS&B%;}W(_Jbm z_#XM+ogXB@RmA9KN8khbCHV(TDma|Pm#ZgR$7lMQ-xRLxFY>Fvke=}B`U>JZIlptCA@4SE*eMtCs z=OIrYXF~aUQg8kZY=Dc1|IJwc|KcKm%Bc1AxNcM-L@#J^u_IA1_ERWPYlX{%#bB{{ z6tO#imIsIMnFHD64z6^YX;~^CW9!Y6D4;u_LGc&Idn%DN)~F%&f7fodN0TN$zGRPF{4-HMX)yL%Qj zWO6?0mfeZFF_dTSzm;zaV=5J6KiTZnY$aeY>Zvg}K0>4F=ns~wol}HaWN#_-4BXgX zyn6m$arnF2D#S9_IXFaUYs!k5_^&ln&>yVS2l-F&na&BBKr@e`DjW+dd9u_~beHa1 zN>>0*P2^nM%5|2tP3SA;^YX{PO0N{OKPW(XHc_iQ96<%HeoQoppwW=Hq+4iYuzao1 z??*5ZQohrZ@^qw+dHj^l7->&0L4-%YhRj-19@)|U7T>vwG_TRh`D2Grm@UHCrJ2s9 z?NT`WA`)&G-HFl0df@6Pk zuJ^dl&UkFTKOa1Ah;YzR3((Hih%T=`TAHeSI`a7`DR^6q9d&rUxs26sv1Bb7Rg)zX zxVJu4V)iKn)IEB5*fm4{c6z~Nr%J!nN_9Bsv z>UYd(%I#Uz%*d|T4;5~IBpx~quH7~jIW59_OR-l!BfEidFNJs9hvgvj`Ih_T&JmJb zDH^*t3%F9Bwr2Bf2IIaOgDq$3@5TXJ{Zn<0MYW*7_175>Wea_ZD@N_J({!Bz7r+3j=^Y7YvwF6ZTvj%sbF#q=kR%ArL!zP}f$SPqv+1 zR%&;2Yg^Y^+1c6md&2XUF?~Py%ZIfHO=r@)OrluC3#WQoT3RaB+xa>S4EqN{`6!0n zx@F%JFGRdCMabQ5K#T<*#8-SmEEiTUM})KaUU7J80SiSEv3YaU zZKSQlZPB9gwy(|?dcX!+S4uks)|v$ag@^RqNYI8}9bRX+v4UARt;9y>4a?CQADs*s zar;-fgT=f9q;)az@bO&6@zn^_je-5Bi;|@_gWJKB{+UxAiMMmS8p*}oD>}2~kLJ8L zQpScwjsaF`GO$hSFC97jm?XQsRTNa~Q+5chxv&nPz;8M>Xrp5N-lJ!rrYJY}>Q{-0 zs61SQg-qDq?s$9>gNe6!mrxNgORV&A#q3yp(B6FK*wM0AS2l7F+}T-uw2gVMS7ZWh z(H;aG@b7JPA72WAR}>q#`JR8_rH3c=?FtVJv|Oil@oIMJ1qM@pmsH>RT%AT_(D6)A z%xev)+*GlhWv}|`Mll|ZR7UX;ckS@CQ(8fH`}0xwo*aygtygtSzmC|59I{=K?+-za zC&dOVT0ZF1cRb0ZhtswCPv6LR?tqI9CSudCqc7c(az{8^E!3`wD0_5wiOWt6#x;MY zYLGI{+$t#AW~c`ke&QKdjGg@ORSbZsW(P_XSwE;q#QLz#q?A$c=7(`a?2>#l8FIvH zOm=ju(5tz?pbWhtaI1_{#_^NIw)eI#YY*%$Nb&Y0$}ySz6-DidU_~dyXqhYICO{p%9%Q5)*+bl4!F|Qx*wD3 z_EmDKpu|Div39>0UD9RAe)xlE;t7q$6>)K1J3a~^zc5Sy!5zzV!$zqj9UXYEq?dlm zHacm0I*T>?^Z6Z!zV>tABiqI>a+glwRygzCO3@PPy&AvWL5Jz_g%!WCgX8KSx?_bk z>+M%;@Uk|k{})+4+8(lP-RPD#-9q0c*6Vc0-@a-SPKP@PBm_MVSjoT)Ey|}iWt7%$ z38B}qz$7ki=NOPSFy=^L-Yh(}+aliXhmfn=^Mf(@18iVt6u39l6@DAG;9R7q@-;s&k(17l6o|PPtkqtBQCwsd9+vseKhF^5OV+5oyogD<*VI%u7 z75m9u8D9jn*n>kDU?e!*4UEZ>wquq)Y@=Mv4qWlbJk_=Rs!m7MslsSDN4Z$+yfxqN zGVIdo!6-EL1UUDj>-V~xTl#Xf^OrFuq5lg55{QH6APZpc-9=mZ zgS;(wuO3}m_r;P{U2@{cH}=hBi0ur6GMnaVfETtKr#uf(>Z3q1ahZzO^OW!e#8}iq zQGH#bx4HYyh?f^*{p`EQad@xBf>7WR0@b1kBukAWz!@qHC)kN0hmMx+DG*Td&mO#2hL&a-Dq^M*P1#P}GTg1)LmBMy z$#9{A)uoBrW$t65XN4^_gbr8lpgZoW_B&#41%7EEhOO(;L=Lq8#$`PXv zYNX1NpxaF}ns7FOdT09{&-vW!7QfMrbPCiSD(DE6Bp2WtzBaCtgfMwK^z(<)ML_Ly zA;D+LX^dW`H*9<^JAmNqsEVy+P(Y7d zU9e}}=QpjB(U6+^;0;g_#wg3Xj{Rs><&@4r6IUVs!$X~Dyw|_*PM97~nda5Sln_6T zKy*jc!{l#scyx)O9;QKcF6!~yVT#Rf(Y{5Q9X{0pr0^3 zaDT4iM+m9Z;?9&WtWk6qk0Fl3&?0TS*ZxbGH9z3VEc*3=P0gF4n6GAy(nb={X>$3 zi-pYLYNK@~YQO3>qd|?p`f4MkvutXgmm*ke=|0)tjEYir^S(bYq{6CYeT06;>>iH3uR@Qz`4@N&AM#fv^k6kJU&{ZA_Qj5-PSLUyq zGkz0en7>}nxhl0Y>^2c~%Pu-x2SBTAU}k-6|h0kI#?y`=kJAF;>>`j_{^b6Mz${I8qXN;(b{tea9B(jhe7 zh+GEBRLkAfpD9wc^L2E5x=L$?T^2S*F16HL%5g%N*A0hC8DeXhbi zx|ceF`b-6M@H9`fy*06ZpJ@%UR6nSYcyk*N$F5 z60|_o?7KxeeCSYl&$%;2KK^%FKw1tl=$wfHJ~6kzeLg$ssW|QN@kl|9nteUN?kJ?5 zxa*l7{nzA^|2R#?GoWy-Z+zpoTxn|*bhO3V;>JP+pBfO}IOq0mbp?}5wF;ad zS57D}D=Y8Da;nz->R-NpXF8IUuF?OoThMMn%Y=a!%O8I+_^IZBR5yH9VUM`1d3>4v zXzr)}VN-_qK}di~OpN(~dSrh~#|4f|@pB0rLRM&qV}PXs|u-Hz=y^ne~%)x4P9=@l78s ziFd|IiNxi%OgXR~+21PhcG13W2+vXffyAUAH1+j%KL?(lF0D*- z{f^Tg_piMGjHH2QP^GC-ejgE*&JJF>RQ%(U{6m|Pk&9{>fu&R1p?tXDk)*o~13?|< zkO`4B>mLn&40!FfCAojk6`p$%WEWJi)CD|E3MG7X>ue(!U+vL9KV&m%=%X_kmEDdZ zV>3EG7{LTdqbf!eRTB>49&Om~Vpkh!gf6?P9~ zc7{{eUr-aVT|7t)av@`schSz?91I9SvSEBFHL!gDw}^MoR#^w0Ny>k%q4DuVV*=1%!S-%|!y!W#V+D>7lN$kEU< z31Z}Oaq0TC7NDbs*Znu&ey}Y=Z0q;IuS|FP?9sil9P_`oc=9Q>e00h0Hn3ZQ?U{^A zHER+4CVmLwW@uB^uV+(6zA!HBbTEbKbVz~w-IJY2Wek|5#svOkoh1Rb707wRcIIvu zcQnnW+{z}NJL?YE9B2!tK<`B5=0^seFYMA)cY2_$ZLN!0oW0?$f6sqLwdCNct&Vg- zYs`7HFJwVh;x`ju>9rnKycMo5UOU; z^WkdA!Q70}h`9=AWqB=#04jUTi*uHRsb;SQ(=|hoLG>Vd+3h=Ixt%uo3!jG|g3T>S zCGNLnYOQ>xz)h2%&RMKn3bjlGR(WK#I_3d*7{BQU)+x4Kv0JdScye~2Uj@3nI+C=p zVFAL7=M)tI&DVsK{Ud{^GrNOw@vd&p4Vq*H#yU*MVgZpyNMfeij#v_VdT#k^Ox$p9p7|d8N3{vmy zWYV!E&1VO$H@|gVznEjX+xeN|Ry;~2{pZ%puC@@Q&H13Sc_r=2{W{S4e!C+Vdl0vB zY+>X}E|r!-U^k0#R+GBEuxOSE+p_5v=#81C^(_{|!Z8CyU=dwbGtm6k!WucPo`G?& zKQ$cjvsm$LGh7T_CPA|q^*sD)S>Mu zdmZ$B^>aFl3o_LRB2da-3k$lD8_8nvDCL-iS14tW3*cY@27O^$U759&=6y(P z%WPHqK7>okD*zcC&s$;ZWa%H&vgmEzKhFqvEb>0eF)w*ns*GW0Nok*1Sj>b1+as(U z4p**ejnzFkiK&kr(Uh+4VAZY<&g9>s$c;VAHQO{Yf7XpPN3D!qWH1DrODibYn;Jty7_2>A;B_@6&}9;7kfBh4=&|yx%j{! zd+EXg{5)D}%XZ1)Ec|eSuiQdPdW}#oBwSzK%!JNWZMkfWrAM2}q3&y)jI3UAX<^$E z&eSV%tpzE9caHD~pd+?R8fP`9KuLYYri@Mz^VM;nX?JbHqNhPIZG935+6uRAQWs3; zjKvz-L%7sAL&DM_pvL3#Y*LxOP9h<6K^*dofRv%>u)P5J^MIY|z-aZDQNl$lTSl*t zff_!Amh?E2WWSKO>-225eQtJfv^GZa(hKrs95ty9rQL6*?}Qlb>o6lLekMa&;|1-HfBd$ZQ6CL#zoBGoY`nREaZXuAECb8* z!f#ABv6juW%##bY?BX6xbhcMPRHB%eq-$NR6)_-c=l(Ciu0IxT7tU&4Arq-!O9b8d z>KL`67lM@J(`_!4Ub&ck?+q2NCKG#r*U-n0#EM|j+vNe&a1Ry)%b6?GWEIVtQw`Qo z3-!$ECtKOBAj~uBQw30q-2awgP{&yZ1|&vkwEC3TsEpIYN&!s8G1T^phe{99zj+;4 zTUhzc(LGI1MYrmb9cDfQL337U;o`9pNZqglZvnwNl5Nv`lCp6VGFTx@xHBpilOn-0 zD&(sa&LVI6W@$TeX1X~eB_ZKpR9{?V)Ic7zzm2}UuXjwo(3>rC&S{2X2Kq(8t!EpE zGvT!gnvP2rw2uqK0e zv5{>SBnD)x(ld~t*)uTENPi~wW+?8wk4FaRY5~!yRJ-gf4p9;D6tn&kpnIX1Z~m$Z6UV4mke2 z4xiv#C`+qGO#*&Y4f$g2z*ZgD7^YwRNU_t|?iqG?bxrtv23G!Q&X(G8|3}~ct>db6 z%vyGwV@^pzy2yZLqBS;B@f?xI-jQwX1^CFx-5$@IM->v;WN6RjI6qRfln4o0Dw*-j z{VIqduYp~5Qg%xv4SEvP^J(v%m3k&QdmfFgyd%cwb_RlY`ZXf}iSOw%HzN5S+DWa_ z3RjaGn(B_*C&!28dff>)%g(@rfwV;r(zk2gE(gdwz|w0fc_ZmC}Y^C;&kvbPQ$UVp2Ug=g7gk|o z?Uh^qqN|B^t0zJGI<3e`o)r{5Px1KDQ&=^Pf}q!Z4_`8tg00h#!p8L)U_Dul4M(m6 zGA3pkSogr^>voQBSI-oy96gnIu>rZI8kpL653~pc8eIc&HJn1cWblSsZ4@c>3|#*y zcvc@2GG7xgFV~CPjQYA=&p5g_S*3viHaL3!_U)yF>&6!v382uxOCdzJ?)6`9VAWU>_Y_4Uz~&2+}d-3n`N@;U}=J%6$oRz2-Pst9Ha(7Jq9 ze_rG&Fd+l#0sW{8=*K3&Mi70FrdFp-ir$+pBwQo~+BC*WdvI8^)AIQI)==MA|5Fll zmEqvlSsWV7#t-xk0|PX6Qj`sXKM!b1yVHinu+v8Rs;B%^0ozE&Hl?7Qqo75~S!#o$ z=L=q}>Cv9|&+>YKBB>Ifcix0$Xx(_nvabA28!$5$MGny1NdQoM&`2BbtaO}5uP9wX&h4YTi!Egd_<^| zPQvdF>ek#Wy$s3E2VR1-`UQ=V*Ma?qoPZ5=c$6=CKe7g4nt?)X7AQCgqs-3|#E%v9 zh!0VEb&PI78b`$sj))n&h?zPoLp zd8$j8tU%Ear25?8nX>{^vv|QRM9X|AM=)q(E)nI(V(jzO>SSq$ZJ6*Wdf+QuDmSyzk?x|Rl^L}Yz4Dd5$QZ@nPD^^$Tn9Ex zRKv0r2UBntc|XWwcpBd^#qFNR6%wpGWEM{Ey`3!|W#BbT@0da#Z;n}Q=i?5iU}diL zT1pqg=+YNOLg-4P^PWKb&JTeOfIWRMkZVL(SohH3A#Rp!Pb`(2!VeLDyFG=0 zldRMGK+&ER&-SZaRglB$zgae5nX+-zpN^DNa6ATIG+pr9Kp3t#vu*r#x6`?$AM6&> zF!AQ^Oq%iKEHd7Y`uh8uA0MBqn%q`P5O~gDlEmPMDtunosM3_gHFkj}CO~DAUAj(f zx%|D!!ye>&&jGhzg7D7$OpnI{MkX8ji25$e$df~FAMcIr7XhX$U1KRly;9tc$0ke8 z2PNZ&(*X)dT$2Xe?Zqx|k5pz7o`PVNYG@g1mWjoQyPKN8`5^5=Te0-d{(f#t9 zm+8V5{ZM2C>~mDB?wE0Nf|OTXuEjyzz2mmM_W^$9Lvo5>eK}nx5?p*L1)RTr1@~Ma zCTp%)@ffOYACQG4=6gB4X5L`#j5CC{ErT`^`rqNEY6wX5`uymCdM%9jtr#VGxGuTZ zPw@V$H-Gg@XdjOm8DGCz@UUjT6rL(EE&sMVk#orKXM*S^NqJa{a&A#kqO$Y~#UT7= zU*%I|{+*j3`HdG0#OSblEx5l8juzKBC#$vceiwgYVL)49?+Yk*R@~>OuS9}^efZ=0 z-aWm*#5BYQAw_C*FNKJSd!cA{M`5-x|3>GuKT!z^+Rc|F?eNMQi|V-fTjj}yE!5+| zuCArKoqRkXU5hS00Ul(lbt=R$J}ivTUUtX|>y7ch?w0I^S;*bP z4MCcJc45RG?WQ2rb+cYB_gYevI~!zu&wm=6{N-3(ZY;dR$vPk))R^p$UAf$NMvkUJ z-L&qm774>(Ll*%=%BzFE_Yj;3LL$ZktZ=$@Yqg}d(oQ9|9ZW9k14Ngx72d9t@3>#rK1pF|z zOut+MIAVn2vQ*S=rk)=*iA%8jbgtYCMJ4Z(XLa3(v$wE9nTKDNcTk`}nj8SBw_)P` zzr6~$be8`|h}g(@f^max=`>1~qURB`;*())7~ZJeY!;n!d_0{jlKagXQK@rH7opRG z2M^u}GQfRim~#l~YRIW8e8lvX|KXwk0H=h?4s=rA3&AU&=AzR=SmqnZah})CO4du@ zwyQweJ?Fl+bbNC{-)Kxpl2;L<vvw@V%7(5k@m*Fl|iXX)SHztjJ*fx&)XJ{B9fZwJyO|gM))?!6}5$<$gVD7W0&hmju7HZ1$O$3a*}{(iP45%eX?Wct5F1C8HaP zq0_N!#fo6F!Rc!lynIXzZi?3sqWj`6d!HV0_@DM}XUNqSyLZWtNzq1^!E@;F4^~}8 zOM5N1E`vFu%2~c7rTV{FecI#CNL6=gxXI_UKhCHYb`z8@A4pFOEWd2gIJprQx^ zWvz!RgASSxg=}MXU%gT}{$N|t%)bI%%Mjj>mM>9E(M43YgTy^kSjxJdLLVabhV*~; zVxA}*Ma&bQzTqoa!IRBP#aL=DhN%t;DuTMpcrh{Mj4$03Ssv$W_UiWlL3-PP_#nuK zxGARO+qi8sZ2SC&=TgZ5o&LFTy^;pI(>feNcBHKiAfj2A!^X%C<*OGjdfu0+pA!d& zAy3`3Fi(9(z|74J#p8x`6%f0@t27*Tr1iG#tXQleG>#X1DWyD_pN|h*T2`ujm})tc zS)RwgAJTDo?tRChIoQma#rRIl)a&tKENgQ-ZWtt?f=9#TZB>35(#(h$pAb6gfCTKs z%CIBU7rCj6xIDaJ9MqH54;>Z8z)ShBU2Cs1vi@tpZ_`tbutM?_(Ux!k$6ap?qsv%0 zT3-7>j@E$qb<2am61ruQcFsEBNuR{K<8-LOV*X;_PcWFIgh59$yPiUvmeJO~r&*5w z4&vRj3ukH8nMv#6wF;N<3>odi_~$FGlC>EAHG!TZUj&_gfR{YqL93x$XHHHu(c+ibh?mtxZ8&;J<{lD0Xb^Du|V-SGgB zm794=IjO3%P6{a+UZu_(g1qmOY(#`LW`MTV0poKy-;Kn&<&$_Ighj1-Q61$bjw^zx z)zR*hJuGm09q{61c7zU801_D+TRwrP%tHbh<3t~DRmt1G_gP^Vu-ns>vZ=4wbPmO3 zD4jDhm6F3`)E{_YoIa&Wj;r03TXK8id#>=HZTsVlTIX%O-RjuBV)av2_sK`sSR&?* z9`w`CYra{y^=tINQ5dg64@gEl=H{<=&2AEVhk~5TU;1wRl#@&GYZ%Q#Zg&TEnSPsw zIrJ8*=cD28x^xis70Np=HC{^o1_V|5X%y@kRq|o^v$7Hpy3D0>>uP)nL!P{!cY!VH zSm21msYGZ`LR{Qr5rp(&K9CleODmVTa_!ubJAd=E;MEI2EELUr8Nt@9@9>xlD^W@; z8C{A4;-I!sS-(Y0f}?XnMUA9lJ{nN4hdNL|1$Y*KLO|JVzjH3JCLl0Y{R@ZbusYAh z`Qs)i&CA`rjj!C;7Sq+jv2p=Ic$hutI< zF&}_Tv2W@y88$M!KY)vDdVy~kRsv4s{6bD!<=4NKHe)o%XSd(n2nq`+ZdFHe?RblkrW2ms=I}p-^fI zlh^Glw{6yR%Y3S1-6!C4j8JCyT*p($LwNM)##?Kw)~FQB3V<}%ayNYgD-TnR;|W;x zRuV#6%bi}rPF7O3^LQO@gDt-qe6QO)WV3|Zi=`~ceJ6kxzKhP}ZwmTSDf3&KKSWP0 zN%Nu+%NvRHaGiSwzI`*Vj!B(W1Rot<{_f&ArU>@;uW4#&iO_}5skPenCgwYkqQ>Z! zNq@sODF*<8X6uXF7#2&AaZoYB?FYB#m&6C(mzI`ZmgaMOO#j)^Ex7-wU&s> z+}y;982n?RMi|#Gx$?N-2`z_R%8S^v6fA{oW(GKd6ITc_I7n~scON-x9M|nI>$L|T zoKO^Nd;VH4OobFkf0p<-e=z}SwQ_N{-D&CDd?142DQ;&w~LI7d_6d*ZytrD zJkrOaF@VrM8vsfrHA7%0?3YV6*aPf_Os-{bdp^#pwHGe_G1ofp_YHAV9)`}BO&>l0?lQLv85Ksqd-sl8MC5xNCnu+p={>COo|@z5Wgx|v zbib~~PBBXOhWYs)_Cqal(FkpaF~J0ym6aD?V9PS|yX}*@YGznzzb zn6|7H>+aU6Spnnzk5~~jYowDUcSx4AP{%;>1~@jg{2K0eRMAQvajY;|DzG+pCYpSRQ%PD06C8m?f`2l?0VHHg*+VX>PIYPE$yitoQOm z(&Mf~aTPer7Yglf1EZq?2LmU{?d)L76@gSBgN-Q9??PGy>kKbkxUk6g#hqnHN1H#5 z=aHkl|9!)|+jnfC@k%LXBE3&uzTt825c&z;KO}f%RW;c6|CZ$fNZma=lkXxdg8B`& zVxZp*^|&6Cl)SRRd)ue|Gdb**@YP(9QSX4L)q-fNLr+!_5()BIC z2~u+4vRqfkD?`w~3b+I=x`At#gJQ_VdZ&{k6lrQM+h~?8{HHt@k^^|LWyWnH51SaT z^;qY1<#p{kh-IF@?!T;U;^3b>M!>q0j zVsCvw{nF)cJosDW4Zf2yq~-C58moU5d__#tCyb?-PgyRC9q_}oje-g-EJq9>5oML@ zGnV|Q<5(T}@oN-A)@x_anDYY>i~5eaSt0G>(&DpgM=*Dte~1#qJM~cHITrT#2ww5Q z#>U({{^DfV`XL|W*>v8}soJbExdjRU@=2XhPu2wRM53G1b$K(q^0etUZxs5TIBy-? zUCN59!Bb5GTeW!bm3H&n?~{2E|EK7uq637^H=;&stReIyDztu~*DgVJggN$Sxx%Wv ztKs5ecj39nyEo{xq$rZe2k)8Dq`er_yAf)*5&}xA&g_cr9YCY6tsM6+9eaNM_*Z8G z=0$^0F9eK$d3n))e*pA@^Z1@?Ky9;xkC^ z=kyXt>lU&hQ{82s1dW%WGx5pwAQgdzq47`gTokBFtyykYqDi0Mb^3C{mWZw056i%( zHIy(FhaJl~ca7)2dfuRbXZSX2gk)g8!X!(rZGN29vp`U~Q16=sO;u{1;f;-Nh3?;r zyJ~9`fhvVpGd=EBY|-oY-H_69(ey@;bK=Wr`!}w;!yS;eEaRJ1_q$k-bEQCdos%RV z!mEycnDhxKsm3BTEc3ffs?WiMKY{zd!oH8%U1R9->Ai;lSLJ%L5Olmv`q!*f=}AD2pm(eFL1y6thZ%vmMK{4!BB+4A8y&PTSv`Mblg=_d z7N~oHyldJFN_9X6*GNTIhn0-b#Y$<6f$Z~(60h_&TcZ!3PFq(ciM|C_#q^5Dq&F(; zbb0>f6C8cO2yQMteld`wCvT_Pppi za0O@pu5-M{dez7Ez35V)>8tmgiypkZ2i$zpjz&+Qqc30<>+VAylR5BfXEB^VCqrXq&;^Hf70AKb4a`-%!cbMS8#QL?Mt%f&npUtgn<_}ceE00{WpL>N= z0FL=$Ma?3Gbnd^EA^@gCO3)Ow`=xO*b&AaSnr)l0W1L!GzJ5WOsru;qMUag!h?5br zFpDsEq|$i4E6Gl~>qfH27rIvlLfNen&`|-dZg;U1_VQSQqodMbOs)V=eq_0tBQ#p6 zxkc6R=S`aFuj27e%r$hXQGy?1b@iivh1*|5!3gm0rz<7cQV+T*ke8-)RJQ# zKAThNVRx#?LwIXn6*J*+?#b$4hA##AzFssrdDf(n%-t*RS@uCd66{`s$Iwe;@c%W5fDiCo%*aneL&>H`i+DS-APx=iYk<|Qb@#| zFQ+Wq?nKA1^*VsOCjJ$si`#WqK3JC^h6gWhDJ`TOym(9ItN%QK63^#5aq zrw5qt0J94fV1=$(F&;l}Owb^7EcgFm>not5-o9{^5=2BnL1_?BK|oq*K|~s97zU88 z0qF)2g{#ut&5%Pg#E>c=T~afoNSEZ$yu>A~*G4VuQdTzkESmh2IvRzZII~9H}Fk{r*W*d=YN?*P*;p3rT z0HSwyXzRX>&$pKk7B{j3nq2fG$ZIv$My(1aoUTY<>a%=ps_@B-TQ8gZ7Z6`t1PU&~ zmmc{CP3nU*z2%&E(!xnyqLC<<9y2SWI1>6ILcii`$h&L}NvfijZ1Wv4pQNIG&?M%0 zc9g9y`=u0bNx1h8RlNHkEaD+7U@;CRq@UQpXECS++q|0RzI59Xc&?2{H(FuDSH?mX zdMGK&EGfgN(rUuGyCI#}_RsUB? zC@W-B6Bg5L=tY*w-TpS${GiQ6zCD$?qpG>`kMIa0yfG_~FwAz6ZvA5&h9X4!s3~5* zw*l9Sj_SXxE+OTgkIl$<%Vv3{2I_)CkzVT6)S@r?k zX=^aqfsBcvczkGZwoHoId24*V8lS+%gLcl`-~l4C+(tS<&}8s65U`30zJ`#u{TSUa zh#|LYVC5~UmfNzc)fjNthQ)@5!xLq(TLIRSrlM1BaXVODe`At}f-1Y{NPZ2n>!vs+ zw3u#n6RROeEm4^9=X(-#q`mK~{}fvN`p(h7g!$*_e_uB!T_Tn!IA2-gz(ULOu8VCn zvR3!~hu}y)av_UK-GsbzEa-ycRO;&0DXfaLN96gS8QlxkBgSu5$;aMy?Fk-%8zXDd zx;2nBw#=2ah{Jd0SqE6IJ+};VrdPxiC6+f6L)zwRy`2~nSFWml=BKQv=~G;ILA$29 z`Mq3q6O&^y@TMig`V;d0LXtV4B}3!#b`Bx|HllPP?v7>4ZyOy3HS6PF>!4DCG9<&< zpKbiW5ri(t%k9}x4VML23u$O-?mU{rw|N1V?4&Mp2P#*|Jk*6TX&rKaqWsYW-(__Q zj(HQE8WlgHH+9EkFfu@@Zy2|?E^lJHfp!Xk)g~P~n2LHQoSD5?qqBT$RD~%q%s8d8!Q!%q~>JKQkM7V_K7$YoSU*pBO z*e5YU{sDs(-HnSX^42CR&lzJw=27Zfedc#XOr~*YkIn|Nn+s4Cm_0r)7Hw-haa?E)gHygV=-#vn%;nRKf5vHhNUbtK4yI zUyUk1JMk5R<@~B&!sV5w2X;aoy?da9ln)e$T~suD!b$1@TqrTlvuv6t8RO#{WKhKAqb#X01iEKc z_d9za|7?y{B-ajzI!w0*s~(^?Oop8W6G~vw%u0!LtE!)TpwRY|bt^$NBHhXfbyPg} zn$v)s;7E&AtxiZP-{Vz|>L>r~P~ctSw9gfs6?ey~-|yM9kmdBoS@7Xb7KeP!X2gUG`r5Hq zR77wH@N+EMa~ci?*RFcIe-_xN1{qBtu6q{yC32!vl-leE1(?`L$K1b#e@1$Xj z36)2tlsgaHpe|gxOwzbBNAjgE+Get^>m7_!-O;g1f5Fxl_89{g4()M9+p%Ff6m|{9 zvt$Kq5?xw`Ttvm6E_dvKhR*pgNY=sVi_QoktutDyX|qllCrzS?IA2&xcxe3qI{Z(%n0XT7C-6 z_#ur)GWRhR!y)w=C5LJe=8{N1wh)5Lm^#1201M9Nj*h^W)EdlQjK;VLn4^5x1uGSk;HUXHV)~h~nd-X?NT-_ij8oMo}t!MJn-CJgA;k ztn&+q$!h(&_2$G+F^`>hD8|xA{D}=-#u~`Qe*%Rz6zP6#9tmONy zG*3e{{#^o)5&VBOWWS5}$FpKfamqsT37VfO;_XuvssfgzKduID6 z(yWJ{5MWl6-~G;9h|~)|zAgpHEP!0Tk%^Bp2Qs z4Qryv96ZsK=o8{|%0Fgooo({@4$oZDHp_^UYn*;X$(jG*7+PzT;#RfgYq(#$;B%0> zE!yTpdFwU79VyFdYV;$B>zvjDT_-JD69+qx zWo>lPKjLd596ROWJ!Y~eq1tp3X{BC`ORW{7K~=dkhk?c%@E^V5>b!7B0MWS3&~n8R zZp9a~Kb@n5;SPub&w6A2s2T{k_o}S6!zWkYm~D8+f0vDSI6>A#AxvN>z{-+UPhR|H z5lN{fXzK^fq_FxmG&dy%5L2jy$n zH(xJF(l9RnnFl(2p&Q?P@?kf^b!A*^vc_6|L8!)kx@=;!EmVq2oXc}Wj5*nirtCO6 zHB5)TF*{ULXChU?(=n1{qCk-{@(`QedJOAx?td?9W>eL&x8YBX;o#wHXoQdcAs7P= z6O;?s`CkqL|5oiZso-0=CUSmP!nZ!W=&>Ds`Tax2_W@Q&_UCGq8QaxCUFibdr{09$ zZf$$RBM@8NQNS8dF2^a%RziG15SmjF3O;DG#VeMnIlA7J6UPU{#6>__L&83|;-AqBw z$^cdFa}7s`HS?5i#G)mUXbJ>ebf(v1_X%I&osHIUN!bK$>uZQo;{R;MhhBi2&0y@A z|9J{HenKdH`H+=M62Dp{{3aW#U-;WXOI8*33aI3=NVehRL*0ciKRn>>F5RD~ezv^l z!*Ecrfou+yjUW)R(ZP(MQXVsVrj(9td36BsDVErPATb3iAwo;Z@*J(RpxDY&dNnsSJbhTl>P~mKmC*FG-77+n?IQn_4nBGr`Hv|(1RalS6 zPljaI%N9(Ku^{?_rree{KDh8x1LaFu-sZnFCx8<$0w>;(fAjvg-T>hIyn_08 z-Zn*C2Qr$cJt(-1uk5_Y&e>JeI)B2-l~NwsPUnd;wW=o!hhT4oN=NYFK(j+uqX((} zS&H+GCv&b{?tiQP$I=+S;3tHrqe*MmwB=Y$2G<##<&wk(LrUQjl2%R6q}Y@F@i8`Y)8;+ zjAq5xx5pFEL3n&k2)6aVap#H#P%d(f{wVY5lTRzCuh$xZ!FHYJKd(L-bjCaK#uJ_+ zA+B`5l_Q%TcB4Wu>#)pXXTPH>*ppJ%$rx|t!YW3UNkmoW>Kyyh@T=-LsYgY5-(Q7Z z#^?^d%U2>&D`Pg^)Irv2HsVbuCJVmR9J~2XYy@C{wd_2*>T@_Q{Ch!OQQ-s!lJ4c| zI!=_c^d`VspYmuhQ5AL%krp~C&px2>5W-Qs8K}^N)V$j8v!bhd-WY_Op$I%S*n1%3H* z=VH{}7Xo2h$ozm~cQvd)!E|V#|Itm@RfayV3REY?iWdn9UfbI9_Ix^?)y`wtK9In4`W;>j|H2`eJIZbiD%SK|_Fp*k&PL)JDCuJZ zdswvxUk9@#F@6f!T1Rud9D`S?7Cwx?UbsNTD*N<_dSmg^E!(54HBN^p<;P6jq&Lz? zDnv)6cPP_#t2neFnKiakk)g6<0aMSTi1LUvr&tEXYHj$GWiYseAQ`l`XjEo(q^Y*1 zdFREsG^D-)PmDcX8!VkLQdPZV5#0SBh|&YFBsw>Z_v|uV`16Kr z4_#Gr_Pg36N*6zuPN;4zB+anTI{i7?hr?jB#wU1>#DCBH!&aQ#Bl)#Q(&(WypV#BB z3>)j2PMWk)ehPx=2_aQ6aiZQq#ZiN#%qmFBc<6DjmP>NO_2g`&P^n<%c+ zlDj?HkW!II%?oMM+#98e_c(01knAYtp6Xs(M z->XT+SEtm}mf*eys9GTwPSL@jD)amah3Ocp(-e45JbkTT^B>|15Wq`7<|{z4&F}YA zHtk=}WuKVM)5Wj^2X?HrOs1E^#VR~h}D z+|#FvdXKbtm@i_w)0Q~5zS8RpLZv5PvW;oVDmZkcVRG~HBS3#`iSyQ&`fU#k8uS`= zvbkiftgMP*w(kfWL7U|q3*obqsWT4wm=2|)cutCkTv^%S)j(kd?QGatoA0qq=s$p+LWBWzJ4f-isp1y{4|qEUQ-N?sM?AIEa#LX z&Z0TCl#OA})q=?%@$>PG z&VnL}HFyIkE)hEd?PlrR+(NO9r@O`3C9hsRk@EJg*K?nX=CK}rFjj4E9O{BIb-WeZ zSaC6}$e`9K@4TV2DipdV&dJUFLI8&TQLH)G^fN?wy`(vv&avgD)~KBDLVEKU=o9NZ zmM=a*X9N01SN#C3n#(5m$ett$I2mCm#<2Syk53oG6FQI@5yq{skMbK((Oat?+LXFD z&MYWY!9*7&V?GkdZyIgVjjL(Vwz_j>;31E1j?_wxJ^ycu1o2}Bl(Y?}Ud8;@F#N7j zJkoK_kQqwQEP21Q#re_-Niw82L^X@^?xz&Zd^WAeK~)(x{89_Eq3Wx)37(S<>%j2= z&<&bv>U6Ja&0cqNH$2qq%Tz1qZqI6PgdSNvI`6{lFr=Y%P_^{N1+#y$;X6hDe5n>p zAhg&oHb7JSpk3K%L|?6hp?E|oNAtXCwFBrk+X0$}!`Rmk(Zv}VlD4%=tf&LW)T5;1 zA%l}>U#&GsRoqHAoK>gNDq5WIo5~CJX`n{&k#sl-dFatEtjM2Hj}On-BW*WEQc z4X~cGFVv*t(*8j@HK5Q!9o;s&!{|8n@8pq70?U;YF|#H6WxAiF(}un7K}^NMhTIW( zy4GSYUxH4^S(e@rpUj?SQF4ZjR_wg0F4w;2BMk#rN^1o5bS2;tDsi!+R zYYjQuQlD!{s0F?@o?sf=-4~Ka%+){#<)mX^;q?|nX!hbdCQ#ldx(EJ#Vt~m8*@C@3 zDbg_*6@2Mr+-tjg%hea_D!O+DTFSHciX9c|IrU3#ZKs~qwFzLKv12RV^eW!DU16CB zLNu~W(f5+-LQm}Y9J}e3`)AM7b*lKlkk_sc6cI)?kA1rIlU&&2i!|CnW+?uyLOhia zWq0(S)mN{tRcy+iLzllFz6GJUG*dKxxZ?0h&Ux}7k$YrF+p2l|S_3gBj2TaN#VWfC z1O(*fi*vHgYJ!?Ly?Uhzw#Ksw+N_sE+fX6#m2~;xL&jB;9tB?8iBmgv4aZxZFqTo! zP1>BjS+5de@B~viqHoP!=k%bOn6tWRs^=A@o+s60OIsUutP5;U8S0-);7A-Wxe04= zS}Dag)$M?ny5UH>DY1BN<7dU|jJ}|8JldAE@}nZ{XO34MplR_O{pk$7O>B(sCZ+F7 z_R~7prFCDS4N^eLq6)pWYlVcF&-PH~xKuoO{*eG4K6-g&m69!gTsslvA}0e1TV!RU zgYZA1&Q3Awti&u#3{S5%V`d_L+acIdgx0{pmH5<+)BKvNAVEJ)UR%xJJoQ1&FMR3+ zoRggBdTn)^@x0Puu|k_ZQoVTA0ExkLhx^_(!8Bf*kE!!5zQSLwSSa%I^Ot!YI8f(W zn#O9n)hwl+E~WkeJ*1=Dx97(+ghCRPn%@YlNxtysPF_cCh`G-O3z}fpCo*PYL)zgJ zf)qDyjIQ|~ywKD%LwVHwh>-sQT6&KeUL~qk*3ydgn&(XoM?k7R5Cl+#?eZ^ayA(H` z)~*$)V*9;!Z*8dS>vOVe7M2t^)jeKIQ2pHAe;K{=v~BXlA7NX-eNmz3GHn$s`wKIR zC)dZhhh(`^TFYm4Qqg%XgH~qAs+Z@JmyOE$P6e4>T4~;z;IDe~d*=Xzv438(K;Qem z;8!Zh?;(XnQDF%HIwfPAj94GT4FSv6LOKoW`!xqI3!4zTEGp&Jfl;=4ciK*OkUu7C z(duOgx*-W^soV|k4Nqj^(|Xo5PW!DN?cUIo9gqbWiA3X@`l=a*jZ8JH3?m{zLtF#U zdfM)5M>P8prg92abg1BZxZrzgUb8bG@3}TLI(kpH1zZkf~U&aI&gBI6O z^`6*{#^cV$ui(7A4Ldma7hP9Z=hK@>-MAH9{58?8;r_}9w_%sMBL5)+9Q!xx9C_LhILDwnY z0ihCMJ{L6l*wVs_*g`Peb429c_3(b4g%Fe}I=b`OZh(-mFl>K!F*6jsJ?_xSv4ybn zmIoz|hoW}APcTRr=4qSUpn%xPk}@_IZ_t)ymqwRk*kF22X>wq|h`krC5YN;rvK<5w z%{urekaBM?^iq=C^oC!)H>$3sWsa&*P*Avm=sIfQ@_Fexcr-NYgl_Og9nTq@W^&-2AWXouSd? ziYmTDQejk^Zh^o|g3H;+!+SZ$ZGV%IqcQam#ReEhv~ zv+jssYQfr}CkvnfInrxM-XH>Fi|P)+QaI)KXfC_!X@g4^$S|fRa&mIwGCSitXzSwk zk%m2fl&Vx^SC;~06RzP-^}LoF?G#u_h~BA-wyS47qBr2$J?docJ)T^whJ}}w*1op{ zg>Eq$u~y{OL(9H_3iy>FyYNV^y9NWqDE5f~g`Y7%oxr>K9r;HB^N~03(Sw3n|D1Gc zx;#qC*L^8o$R#AC5>D^35*49k$WAygPkEW%LYK^EhY_Td?wC@K$N~Dzvzq}15Yz^a ziu%xdhIU!eepHaEbe-}Z5y*Wx4DgTWVyiMZ5?o;!Nqb3A8LnY`q9}fL&^tF1NFQ?^ z`W--5_T4J$P?*sCI4-FO1L)Zv2KAkb)rxEq|=3#1X-dT^G zv?d+Q7u@*K>NMzViy`K!W3V?*dy_l-md%varohX)ysLJ`teyWQL{bxp-O^4;!=W{! z5j@$5^j`8U099Fu2RP3wd@g3aN^T)IVfWspKH2fj|6!r#5 zcpCeII>$rrLFrh{;&@VyUH`7dA13V&bZt;?zu7VlDr!NU`df;-Bygy{#lUp$UNZ1d zGShd>BpG`q%#epbM05EbbgJs<*>G*hh#!XQdG8M4LajpAPC&8LUV^3<2eejQ?65y{ z?~&3}^=9{cSNt8J6o~I2qH2=u(p8!;Eq(Xw-gP?M(2@0rzQ?ol9|=5!CIC`Gvh@hJ zCJ4hD8uU-M#n05P(ur8G&x6|Xan>`vHk-jx%zEt#r%s()>3Pq0tR1z*47TyCo|!o* zetBqqw#~*A({NYt>o;P~@G(}KPVEwlGHiq0!LU@ zd^u~}m8y?_gs}hX80o`i{0a=m8d=%V=XN7YkZ1akMbTB>oDg6|RRrow6Q@Fb^IfH+pX=WZd`@;p z=1z|`s<0;o1}7aMFLG|aGIv^D=8J|=E4=%W8S#)Ga-KZbiQT&@+`GtcUlw+A5fJ(# z;yXw-&m8p)P)kWdg0!C9$pEQl;gsAwH|n)UMaGX`-udC5k z2F7{dV0El~&7p)|S!DC=F+lGnLl*vP!>a7P6*!7H;Ihf~1u-m0u*-vzT!qA8+92Pv zqp2#twDnxSNgeZKQ>n82d^YO}(@qL%IkAHukr4?AR28Do$C}0!_^7lGS_Vj{ERsf; zt)^~$aI?_sc~>G1L&wTcC_eE z7P(pul{PcruCS%PB=Uq_*n&SXL}Q*-zAzLD(~3Z6n;5A1K1objU^h7Ua6CimTM}qJ zm$cq!J;EtG9A9+YD%iltu2r;J;Ep=rq125ac%ioJzUGc zduTleYH9T-XSQUC&->7+y|c4?cH}WT;@C0T&LxLIT=KrfU}pikwA+cLMk(ZYQ<1y^ z5kaFiK@l5%`$vb)I|)0#qCJ7U;q`Du!S+h}IaBjP($K`#}%Z67*=hE4P!cVww z=by!baTWjtkgvUWZ2U#(fZARO5^#UzPN9q48@2OY)~+qBhP`c9J4x3?=W#OLVPXQB z`(?ZUP`=%Ib&w5NZ%r5Fw0+Te{lgH?(yC)1x~l}s1>~cf?3!1W-Dt~U51(Mpj(g8W z?K^R(hhEF!^3aBM3wI~*cZR$h)?!JJ@1?TTtU&zfEmh-Ao_n zK5~iE(_di11xQ}*(|(tJ)GVZ|loq%YQ(~n*%v~@ zjf33rgR`~B2=B4zi1K3r*<{}8zO5jG2Y0Vn`pw^oh7TY{oziXCCMwXd-lIK_*}KZ& zvLAbq8k3gWAHSHldKmwqE*dhO*D}1#=@R`_%OJr84oPfa7s<*FEZ#kR`V8GC)s}9r zVZ9k2=|S6h8Ba+jtrCt7urY;yx(BkoieFuh-V%y9U8(r+;j-n!S+VXoZYi&ZW{n05 zjqzawWbM>(zUwjVAtPJgm6 z!SU+|j|3r61&z3w_?1;U^KLKlGyh~JC^RCDAA!OYsLfE_q+{Ia`}9+l>gsA_nWFVv zUuSP;VJJr|4S5-hQupQ0!gDc_I@8ngy|V2Ifzl|vF37HIyz|MHN`qbzjD~1Y`}Gj= zqwL^N7RmI7wV^iUga`2-m4esI*uJQ3_2^lMh3r?W|AX26?Ad@}D$&!#{vPlNI8@<` zwjZuwe}2+eeE6+u^-e}cmZw7edVZx7c}WXA8#{Fia{boDi-?_jnCfRrHtsSGT0W8v zb~Vrpax$4T(*y~_MVz+ojdT|loyu9!BUGH@Hq6Y6gDoV0v;DgF8tu4VV9un^O=Z2Q>HS-2{=tcVR0 zVo^-BtSw@zn9#C}4fBfh>C0MuB#9$4>7gj6_;pxM=Ox=;>rqLG1cG8{!sHaQYlLhn zjg8*|V1fFl2!+OFq5hI?!9@GYH%6sf75F&po&0YHxmv!MD?|jfz|q|rF_c}xYmWW@ zM#~F0=BlsL))cH9Ie$&#trr*9_6otNol3N5be`Vehjiqj(EFg^=$#Dd(^rb(b;dSv z*Ryj<8407r&w^IHcb>eLSB$1nYY|xcP!RZv55@Gb_FOL)u)&zOUQsY8`4RvFl~uyE zce9=Gf+V_a*YwMd8fP>xlaZhlF+*cvX`6C%b7EXO&wlB)+aD3>+5m7Sj3;i@kA97e z@CGQ+GeNxtmkXkm^4Q0WU1bvaOgy0&dmWq~B=LAM)zYsh*S0K3i^38eb!X245YTH=T8-aeoXn~bX6Z3-)WbD5bm(| z=|WjFa#~#mxq2-$YEMam<$I%oq~)2NZC_x0XBT=ls%QoNDPaO97$|Vg=r3G2I}6(6 z{Pg?w=+*j5ZhCFbSnobh9j7pc{$@Y{^0AyRGDb~0%V_WRPzxJu%{wc8A1yT&wx?@5 z70Y?-zV=1aH1eKYnaNFgP38h^BV6IIi>H)yAlbdu(#9VoRg5F29G&%}CL#)Vwx zT`3*S=fxKkzUJx@5);0@@awaG-!J@B%u3Yx4O*F2YlX;4%q1?M7IpuDPy!9RW~6aD zkDP9qUh(x(d!GbiX7*9SD-}qU7DwSct0~)#+I3boH#cDxiWs~H0e0Rike#hgu9clL zpkd#c0BV@+HV+@)Q)&U5zJ+sL+n*D)%2PGcy)&)Vuyylr&CXZeVE+^4VmUwo3Ym#J zr^J+;eVL(RavU5SJK$l^aG?(GlBl0s^8u-Ej!(H~Zhc+QWqO~tTLQN5zT8ELuFC^7 z(|G9Kq=Bj9;mEe!wXZLiVU|pniL#@zdp5iy4)^YIL7(*JSzb(0W2VQGxbXYabQMpM zp<--?pNW*=0?zrzkPBy`(mW5bidUH|QZ#J*O-Cc0H!dtzxm{jUC1TmaG3r5PwRFv1 z$0G-0Vw~imX!V2ftNFew&bm&$&)7h@pAioau8{BjB;vL{sLCzv#{Mj28u4N?vkL|_?sm8N&c&^oAj>Vvar^` zwN3JeRVy`p$K;ajW=7C@G?5V7wi|!K=w%c2Uc7ki!oQ!$3vUG?36M{Izuf%0CKbC- zilI>}grW|jl7=gLW>WvM7KPRQ4l54#E+Y>2c2(1M3SKVDFH%pMsBt(twlW+xl&pmI zuivye$U>SBm-|VF-LK#d1l%zA6lfQxWXvw)=t<8F(Zju}Mg+$gbGZv8`cdi$N4J~} zMlrf~BcrRJD1H1=m1;-F(3=a4gk9_xk<})|uKJJ=nv6;KwvecvR^Lk85JbVFwGK{B zdgjHjJA*gdg3#ay? z*3vU0i6(Nt)~R~LQzZ18XOZ6rr1uAkDQsAdJnnk6hQ;iarX zKNA%djf#$zPESvt{r;+IaAZWri`1a^qhQgUF)~DbeR5fOdA&!#Zp{>c5SHMs@55Km zo)ILAZ>)Ba5~M3?tCx);7jA#hd?S7854m^Ly14-yqzHZl;xJ;U+kW0_gQmfymg-v$RP4^QACA)* z7rlJ4f1PS+Bj>NTc&3#|O_cZdtK1Z$l6RPJSPh=vBYfyr-sls~<|6VWyuCfDSWnt) z>eWX?(_eiqQ{LGAcwY0xAMKG}IGKUyD1ZO{{i3=ANsO}Zp;|4Fa-j>_4?LIiauz`b zX@n^;sd_%adJ!ZyD{|IJ8q=DU2*FEsNZH_eal33%cYbuHEt+@Js`eR2wC^TH4yrWkP7|Q)rHk z-f?;Pi5-pgE{jr(o#zJoQ5y{fSV~U4+*JGhpD#y5&t(S7U8@Z}hEu@rvVicJ8uLIW zW214agWdU-jU=^s?cC_~{K=}s9`B!=bD||WH4)>I+?GoTmrh^5ZX~<4ygsm9(|#dU zlfTJaoAjrwQ*Aa~xszkA$MffI)s1GjOE`ZT(*9knB|6YUEel^28oR+ z-cDc?q4^yOfZJ@cBb2b%PSo;y`)iv?7?N3tJ6a_T>Dn3B_dMSkxM`&ybyH3q0>?*M zXp7^`6Fyn-ggbh+t~uksA=E1Xv}Md{I@K09|j=HtyPG^iovI+PRxUn-f2 zt=HDpI17Z3VUSXzce@ma<>E)Y9ACUQKN@`7u7f%>Ghbq;fa0lR=L^(}=9y_Ux7Tml zdaA$gCe;^t&vA`V0taedkca4c9B6}SH~ungSI10oBd=MKedoCJL0t<+7g5tVWBV_| z`5P9LD_)Sq*pNRv{`Jrh7YAO_iUZj=c$U$p;_v|SxW|g4BizV;oQarWI$mOSV-o(s z+*QSQ(4B4k^cF{hdFH}Lm{V(VU+dTr2&8t0RlY}p$%7j}zi`^_7DUbK94#sP%EcP^ zJg(ntrACV~8|(m0GC$*vx`Ey4L9Fiq+l^%T084ikxoOC43Rx5NF9hQ{Aw?%Bz>Mt8|QbH`msMIKHrOn2cE7CJbV75wGr! z%612_(|r8hdu;sgwxVxB_DFi%TkBB5CB<9J6*|!8>*F>SNk^dq&@YR=%ktcxS8dr4@e=BiOcKBl-+ClPQzsbrM!95xn0!3aIDO9 z=j)x&uSFw_Z;|pZoJZ8vvJWF#0~6FH3xTUb{ixi=A+ zWqJ#&+>H{wYcUn--5agLwvRvJK8k%V^v7E_DF6?VNF+K={L3l?7$4@(tMDL(bwgqX zBxI=H<+;m7jNbeaSJJwTkY@d4)XZ8;JN7f;La)3=-n=pU)Gl*&poqbm?bw@?l!^UECe)INoWgj1_gch8dYG@0_Rh3!H*S6!b^v8Jw}ofDfk!jaCpr9*8#FgENf@;djq#(!P?GaM--1H@8YD!r| z90Nj&b;E>de=BC*%U*oHnY4mfR;&jL@{d#LBl@1fu9ey2P7fv-DlEOoPiuZ2VS%66 zD~r^P>hT4-eMv&tEhY5(rp4(rq>HuMIF8)nKY!uQ^O3!rJ{Sd2cU2c(R*pw$dxF#w#c5rVE1N}?koJz?<%7%u9mbSsA z*6BZfn1BcpS`pWJX^hRb<-^UQBT`zSr@lKfzFAluFGz#e;ibdJX0fOv^&nYN~Zcu4P3>TcuE+CxJ_>1w!o3E>R7hR z9viTVW49?vZBApJCi4>z?wEjmC z6s6ZT`XLzq0Y#H$k=~LJCpFOFuZnJW@#=;}8n5E;FfqMJ@mRjU#uTv;{jLRhuD$D4 zL>kk;v$FcmWqE)$$ltwv8<$fzNs+z=o;*hA*P~aC-fVt49j4&7!_eh>_)um;U7{&4 zsv~;G9C&xge>|=x3c5mKS&U<|)VfD)ociYM|&^NC`5T(1i7V7FvbEHHBfCN3vc#uA-VbYS4 zbKi7GNVM^WtBVmJ_HnoWX0;D6E^1m6IxPC)k_V)=+1I$f48@DyboG~*zIKb2wtu&F zn42;ZAtRsHSRXAJJy#^9gNk=VNwczEQfduT{Z}3!WI89;i>7x9{x@Vl`7|k=yvwn?-{+|6amw5I^6;_O3?b4h@G2g`fyM zL{h(5B%2@<|Kibg!%kWX4As;TeMkM-%Q-m*-WC%RG*{-=>xBESFZf1&X)!4{oO-D> zomJ?RsW$L!+;+vun=8-cHp|WE{b|d;aQ=XtO_X>H6$fvazW>%V=*e%buJ&ygmga&h zGm;<4ea1bx5g+$7WUc_3nK)*}!7MV~rYz&ca7_eHh)qc?n{15gbV0F04M(EEf%0~A z1eM5zFtuxOcW~+#sPa_1F)o@!==hOwi392?m94Uyjyp~w1b8^H7l>gnV}C?~JZb;y zG8f|ll{VFdaa)nT4=esJLZX_wnN_d;v18BI`E{ejFBPdt3=iGed8MF|{F|CV0dHGo z4DI-P9{{ZW#GZtqEfHVCHasB`c6Ya`LZ$ysXnzK3Jr#pDZOL%$3*PdSM{v)o+nWGS&wIX| zccb~2;0$oTLjR^6qKZ_pJZV9SDcw*yxERY9`($qE-nCZSmLWq9jo7!@dpoyhmHrrE z0MMrF?#)pBdi3+U-(DFx`h=9&T7;@*K@a!c+koZkU%wyT)p7poX%75g@%>)}fRD*d zuNJ4|Y$YqJIC-$%yr&hu+Ikg4nWk|v3r^A81(>zaPtOiti$tXDM|E7q62RINLM42y zKc@65qG-hP2wo*SU7h}*dZvX&D-LmuwV0GqeSP;Q&1tGS-*Yi{jd1_Ro&D_3vC20+ zYb8qYp2q?q)|BGh@nc0jSF87L2VN0ocxa6maO9Eau))c8j^v8!C0*BZiu8r8d!@dB z$tNdYED|k%$`02Zl5tco33NSH_rZ6toJk^ zUv?$3ZG8Wyg^|mwfB2DF+ecvu!&*F#-qcLFIkv6U&fdXKi5qEkijez^Rfe_wGh*O> zqrZMjb^T5Ob`9QP?rJ6I>JALzFk0*Ap375Q9EK)50wJ^>Cu=f=U7LlQ;cF)HNZ^^M zI2s;*(`(X`(I}$0K=Oy#8h!v%sCfMr=WlStesR5tvVfnX;R@1BT!5p~D(YD$m{SVTAZwE0Sd7cD(^ zElr%>en9%jbtk%|R#kl$x^}_uKH%FTnePOP8q26h8sNl20a+2*`RmI`^l{MmHWL#i zZZo|<47OPo80@PC*B?}WkJ*sm-0XHltVK3OLND8j>gPYZT&1RM5>=+_=%VzfLO$i@ zjqtEX{�I!FR=zS%~d$Ylxuy(aJQL$AHhiQN-M57V(1jfA<0ZuEWq*aVC}TwIH#wWE9vBl7=M(Ql7?P2mX){`t<9twV1!X7bmOx&sz?w#FIa5|g=!O38@p zda%aEvywpVbwYSf7$3^xxrybmnU1w`8Vrs=W!*cr{$KA>A_|Ze(zoR+!`~x*U4`edY?W); zMQeg-p9T7Tk)7gKc9l<55Cli&kBGS&jgLk!_v~qbAE6M^s+ivYLcL;5t>Wjfu=jP2^9U8k>Q_{*;lV%!L6s6a zPcE>OmS_(}Yc2X&=oy5lZQn5dSDg1V1X2n|+@!$P<-Y^T!;o`f-kND&(}gJS+0qs_ zQpM4tpmNSb|APs?oZtgCkMa6Z@asRtaaJeuzmFxWZ+D34x^>cegyihExSz(VWD$bV zS>r5B`pTdpRz)Crr#bZf!?5&{q|F3+PCUOcrY2`Iy13R1YLuqk3r7l4?4IgVnvqN` z;Y+z3&~&{*u1uA0ndU3}4Ep~}qd4P*^loK+yoihc8>Ap!t#y9XP(r!dYhePRf`T1? zcV^p&GR@hZ3od@-RoCv=FU$u|-)ESn##u90dNBkf!gWo;rvW^3hR#he23HQ#$H$%{y4qg6D6HZW+{0P3lyIz>zw?Mv4 z>^zacF+tO@%)x2iUwu>p{L;e?;hn;uua9jqq_MZ$#bqXLc& z?=dm@sqR=nT!`M+u!!J%A-YC*0Y~wYScV)+8A$5Ly~EI{tus}TzY8Fc=m>ubX26bU zhacK!1Q{asytlo)QfZoKd?06M*X9hq&hh!{iARq0C@5mpC}P2ddU*-{GfrD{q*TiN zp>? z?a^!zLi8g(#0pXG8f#jY>Wp2C;bo>gk9cXPh!GH9l&Dr$vod7pGLwYYEA`)agFz+& z#CN;j2+~sCt75Z<(}AgeS619O##$pKAkox-SG!^ba(X5H4^Lkm7UlbVEg>l_ppuf(DAL^x(y^3CvrBg) zp@4LQlypiiT`JujO9?KB2nYyB$$PJ#@9(`XFZgF!pF3ve%$YOuSb;xp(9AC_FoU!= zRS2i}N+{H9oscFc%9lIN#}Z^fG@v(;cQLOMLs&yc)%N5T)I7%Dy<(VxesCv!Be*cw zg!5n7q6BsHvzcEB{~1`QFFo(%vP^Zw(W<~ajEbs`kOvyD=sag(v1AAA6HIQ0t^i;?xlScc@J9S&h1Zk&)1I%42u z^(+yzFl3hD3z=3Tr;^drg-hw-1k8UicB8G^J%Oef*Dyr1pzxhOEr+(jN1aayyg3#_ zg(%+$zQFqj*rCd};I(kySoVb7*H^aptj%SjJ|kXWKEu6`a7VN`i`xc{TkTXYy!x-W z+k=V-2dx`V{<|<@#NQp;@~Nh{EBTpgBg#C!*zkCaFXUIvwLFcT`f>8h?Uxd9hAnUr zL7L+&tR$j)c!f9_HiN##0WD?dTcOO z=+-bH;!@d1;9Sec{OAYB?Y9!N80hY*`RAW}xjO0=@SPNE`>1%P%69=+CK}&D^NV11 z&*l{y)5jFUwEz!2{@i(_%d`E=?oEv9{t@>A96A_?pVmM8n15!Sn2b7(Z7pK`L)IDZ!L1s4_!aNJctc0}UA)w!=UuD#qBr>n2j$zCCQJGRN@Irf`I{lZ5RQoOH)In#ps+|YEUI8t|4Je`$`<<$ z8cF90v)*`SfoJx)c?&51}*UQ|5At^e*n-sY$G`SXYtY&RxU4a9a;NLI;jiOwg8j9RL;up&1qh|+96au zpOT&a=Zn1alP;x4)zgs%?$nby)2BplS>+U6Ng%R+-_AS zs&|QC1pu6=c~Ol63tbGCGIvkTLW~Iy@Dcrb)%?4#knw&_l0uxGT5ovA;u{Ii)5Y*g|Q();p1_q9v*z5Jv5cvA@`9Ii7^R(RbQ$N5-L6W4LXb4viE z^9mW7bWaa3(I8~s?aLNw7#z(4qbSzAD9NE<8u)4Szjc+!%K{dX?~{@!M*`^RD$a zt}E)}%ibD48V#lzFje|RfQ%UP7uJ@f`_9mI!Z;Yve8q{*PHx;k5Sf$G(^Q>LdSHAd z6-}`!XLWMFjciTGOy|W(YX z<}|Mc1Mx!DW2p(^A0B!K^%E�+WO@OqzMgL_tN%k2-G)0+?&TVika?!-pB40l32J zjR^|5HD1h1TCNJ|Y!?m(@X4~WR@FPXm;mA$U|vEXzeA)JR-A^9|E1_jI`8M5R9xJD ztvETnpikSNr$^7qgb1^Ic$Ak6qga&Ct!!uZmxfD>ep;4$oz?EoD%#IrQfk~T(mt5; zE6s>h-SNQtMOwYjtAeq%`Vf`@7P1w!I`wJfLB@NaPC&Vkd@QaqqP{0m;Qpch_2`1) zhptZc4`OH0-A3a*0KBxAwkbuxO)X2SdQ?^`lgVymLWJI{y76g%?nxqy(o^?+$tSM7 z*#m~KbSyWpc^e$)VsudCNqhNGPP5(7Dizyd@7Vq9&PjtQMq03$cUUGt=3=T^A2XCT zEjzm~T~xig*jY3~Ht=jemQjRDJj6Y!$e+PtpENa)@7w-zA&stk)l79y|K>6j$1!)B zbHK>wRZMe~oS+vM+h$g~3q$W%PVM$VMiKVE)Cp4*#j*aym->q`!5&p~XhA>0q*oKX z!k2K-A(m_D)7It_>$?-4`3gbD0od&KVx!NV>6>7ownGEm)45Bo=ZkpIslmmYks%eqmsow1Eqag@Vl7Y87 z*>P$rB`K+n9uP1lgr)o}?zoBa&qKmv>bDsz53KTJ-92r4S-2lJG*ArgpFHv-UDaR9 zE~;Ju6lLQEOM#xpE40}7s9*h=BwFe+L;0TOag6^EngvJ*xfX-b1|?CCq$ZW$&?bZH z2(8<`zW~VH^r8<*u8d+&*#pqu3f%>_jSUU{oNfJviTT?%2M&P)%mKhL0VE@xuaYWA zJ|Q9dbT@Oj9)@qd?lJ-u!*T^Ol*N!cki{5qGK|B^)w{39$=g#s-r+h?E0o$U(l_@e z-zAwHr5<^zW8oicyUI)fJ+bbzDe?RO^L`CcaJ^sM!K&4sVpX87Pcbj&^Xf?Li{P4o zK~S!qNyC9=3d?(dvhIXh0F=pPxc2-Q7xge^#DLFpiCfeC^eFxtRNOU10SgOYb*=c# z`<48JvY#0{-jbxFZYE$pKpY#^`$kw1;Dv2%(kdMT9jf?@_piV($`TrR>#GB4K7H?) z|N0HxQm-@KEB`oWz)H^J89S?{e^L#& zP<3K_4bq>=#`4}xX&)7r_oO(`Bz&qN6pmtTIk(XE}#9ZB?x%#WwRekVZzka!X$i@N7nzV_uu_8vO zJwnB2953MPU*AxMT!R3ENfR0h*LRq6ug;k~sctH3omY7C#?+liNYV26+q%Q^l1F_2 z{{mPZpq{_~?Wy$;JO=o=I5^7?qA`_$EGgjT!GASjGExu=4ANljyFW*+p6s<{KQSLe z^yhp7@52FUA3G*iyGVKG&kyZ4Ue@~pU)+sYnO^*eZfXPXd2=FU?uzK)7}TA-{Ao-w z$0V~v85;Xpd|m9}q&_rB(EID|jP>l2@05)55KWy5RF#2ZSq_?pF#a|O|Dh=rB>`+ zfp_2fC&1z?;J7A#zGLijC+&oAE*_U1EavXpG62R0071DBQ>%u>er_n)G2Rn{*2K|{ zOA*cVEunvBr~<5Xnz@6YPJiBMC|7!0#yf0GkA>OFL^{vEVJ3#THV>$WU}8nkPg49zH+1f&*R~v zJl=6h;zT|RJ-IRmrfztZ+|P#fg_WWmQnw4gBrTex)@Hy6brvi&??X8md z<;q8CQu_6%Y{(R>0iAMoc6(s{XL$0i2L!9JT3+Jf*xjGtxSoj)*&~s z|9)>a<5QB)uoBg%9hMZ?@d3uc=1gsZeCRR!LVTYLIrBgI?v+Ed<7 zG-~M1YkD|+c&@2Cj`}U+3b-!|2h7Mzzb60S{m^gW^?o|;?F45YIzCWp=E~kA&K7%T zreQ{9L*3uA3`ED3)z*xMBTos#jI5ILBK4pgU0hjd>*Si8@F8~8x}~9He*d!K4Q=3O zxUF9^(r+|l7FpV<=libAz)xx2*OxN{&d2tn4xUcD^!LJfM@T@@PW3hNL3=n9$dIu_ zm)SUwBa7x+7>W>wJLa+40FtMI><)2iNDE> z%Uea+MliZjjjkbv#OLCm1H9V;yu@A>Y_FWgu#Xb99&a9HSYvt)yvj2Y6pO5D)Hz# zad{cG0~Rd9?J+7co3MY=Rx*6zj$T zH@YkM*Q}?0EP{Xv#76pjAgB2Z#v`JKgy`NID;lmFlIc>cd3u-*vwxvUaeV3)yRx^N z;Y*9)17eF8A0znFd%XIEmEBFoEx9V{^l;iKzxGr9yA!M%H63ZMk|W;xxAxQEvV9hh z2#7y@|1kbNU%Yzb*h!);ptHFHes{U`!gG%4)-*_5kH}VEyQ3Zgz*2{x8-~M2%W*GWcT^-EbA7iKi-9zuxGN9CsVYmt&I8fp%8E`{LCD^V|CDo+$}CKmU(X?xU`y$@Dl{}u|qTz7Z+F8#Kba; zdV&*QzpnaMnv$`XEw#LYLK`RIOYt|kG}ydzxM#3U`Ipsyk9Uiz*4&E9;Du#`=;GZC z{R#P;#`xxxxqA4MGDTO({vQ(4Of|DE6*>*=WUi5c?z5$Y$b;&4j@4 z8O9z0_H@9(>5dJk+P|gJ9oEC?9=LDa)bCzhr>f*(s2TtC038?$J+iGx{jB<{$M6-C zb?js7#)lfZ{Ue_5X+gr-RkU<(;`XmNlG}~db5>XDYnmb(VE(u5|8Xc%J;WQm=wbs_ z1DVgnogp>s6Q2rS1!M)W?TslRGaep$*#{PO{dAEH+dF0?*zw2-w$_i7fIs5{?W3t8 zHfdW2!$HE%;sc3;!Uo~AahW?PI$*;e)B`-1E0tqN*A_o3D_+>&BxH<2RZJT+nn_x# zA2dIiI42^?e^5O7jcG*SO~*X7eX01m8=*MNfgx7HDS7^a!j7U=_yv-<_{lZD-l!WXJ{mG64 zr@yBq#2;C%deio;N8$K*kR)Y)q*D8tzFzQ!zXd1rEyH*y5KShynQHS~**vgA2JTaR zd~v}SpM1WOz}KU(`sz}0pl!S7?i(Z@Y{q-<8y zkv<5Z^HPu{m{>*#Qfy@1}9h9+75J$I;$6<}CS}kS*93k3m`i*M? zr={|N8_PE#Z#bMz62l|!7xZa~e<=jg3wVQOt$%X*w2zEKAk!-n;a)k2P*dOG3 z-+Ks3+Ay z_R@F*RTauZil=|oKFhZ5Xyy7@g%od(u39-sakGUKnaDd8{^qDjQzbzO%cZ2q9@xPO zh6DXmJP{hhFRURoS7Qu~@p3DwMYcCHvL-&1&nb#{{G47m9E zWl1z!Bi$?=1=$X(3sNp@1_g~r0{6NGu(vP)daWY)F211jvmSwbi2SX5QsO~t5F zV+=XQ&9X1K8j@1@-j_|4`8t^H?_eJtLpFXNGnIbbezfG3c>;XcuMR*lB# zS&OD={rw7VtUY~|iO%@6iy!U^mUCu4Hc0XT85Yu~n*7OLmzd~-&!8w{tm_^pBBlX) zGakuWN+;$nE*B_J9S_Qy$HoyV^bhjkVB(>Prk%^?(C8MJ$m>fqhdmQC(Y)&*0cYa( z#sNMQjkuO7w1P6XxI$c0$I9UmlB13b$U;iq%b$qSBec)+lq_PDmFFg+-^S`;G_vF- z+t-#Vnj;V^MY7%uEA@@K%N>@PsxHYQk_%tQU=8Cur~bIYZtf7td%&v_oXUmWWCJAoTN!s|5Ppwg|+jWQJvu85?UA{>U@xs`2wmgF+ zKdbIG9Qh!=*hj-!1;bw)Rcq9#uP8-(0!;tRnJO5+=;Pa$gU!-1h&wV0|F#$dz(v}g z4PKm4X0&qRV?Gd-ywRy36@6^dV^lB4vc+ouY-@PD>gBrnJGNZSWbnSIjtgPK91Sjm zZ5BD3J0kn{A~LJDMq|If&~r2gThJx)>gtJ@M6Pz)M_MYq!Oi7oczQJtPy{w6HX7TO zaC5!*0#aNOL2XA;iush*qSqGxy5!JEcgTk8Km|m2 zGl)=o?oVoWy^8Q#gC9g1v+Fu7p3HW@9#?dUEioXwOa`vp-ra?>p3^1ih}?h4B`{_m zA#m{RzPH-fG4{5)jk90J#b2D5#RIWhI-0%mkDt2N9c1s+0>8;CiK>OqxVPDBvU7F; z4G(UVhN^*n>)vk*O^S6={OBFlPzj%kltSuMsOrV#TAcBvi$P})o}9qp%RC9wZ3mv( zMSZty_b!1ts5>iMxjnS|Zhe;K7r{?Op)l~&qCg61Gte9@cK1G7IgZ3KcM>EJjm>jPOkS%p@MWh2Fj>V*O?f479UaU8Zn z1w~C;#RNyL;AD#B4u{-rzmBj$;>@_5#AVXj+xL$I@M7&jngaps{>s(ii-Vi&-yN{2 z-G{Udup6vj5dovgJ=^%MV>*_G9vZJ`6IeqKl9gIcBR~s8h4{<52PpL**f|A zNuXfUC>fgGc4LkQT(5O(ct*Rn31TM~o;3lB$eoGptorpRGet}@>izPovHH}*Z-GW* zzDqtmZmzCF|9~P9_2MCe%V+a9_LNCeQ&U^puve7=My;{*9KrZjsY<^BiAhmF@u$ii znQYT_&ST^`rkEbiY813#^{Yb!Qp07W<^1t*ki|($WV4<}a&*c=l@+flUDv{J);x;J zCNF*&7rT6OK^2hm3sZ5l71WPbYK?!w1DR7uC(dGV2jx`ki2GXCuc<2)D}=iEDL+bP zn9}Up5ajB`dANTXBj*IHCO|&_Jb)1drZ*MlesT3Rom%N(D@HKW(Zdj^`=3-w^MdI} zg#{$ES0Ecbdr$fm)d6NRGaI3wi*lV8E1PE^ZZU?QO!JXwnA zEv}>+})!j?9SPhyU$2Z>eX+&ZQBw? zTfI{7oa5*zmKP(KAdOKR$|TEG>v$IwhM&v97oyk_DGL-8@!$}*yzwELqjf^Vz(5rP z!UP|xKdRr$by^dfQmpV3*z#K1xPfC~Hixcu`DV))Y_9>`x*PP-Eonh8n9Od|w?42E9N(Vy@Dyp(tlpdQsnxGcwI2F}ETXV8x* z=*YW3DBc5~>y-ioctXY5zLvYLgsiJ@>p#ND%sq@_@1P6g&EBK$96X(yZT;!o45o=1 zFF)sOoTZ)`w3sNn1+HIX{Srt&F*)CvG(pz=A;iHArzaM|T&%XLe5ABof|UTL6;``} zaryO>$xiHVzd!5gop*}6-#wI)QfD)GQeVf9Xb6Us%;2Uc&IFs5EW!h>aIDiz-hWib zY{s!B8LDh@##xWtbss>jClnG?$0c7>7=)fxjF{78Bu<>+zV41X8p!1})MCMBCb*FuCvTt|~>>_e6s z3zx6lKdMztYS_m;d*tdkCtj!0ZSJ!weagAXxcioocYTG%+;X~k{xFCv(ODCPE}*}r z`zr4Sd8^l7Asn$($`2 z4P}|+L)w~HLUg5{A_I;_+8Fv$*&2?xYOIUgkcT-Re`e<@evfLIuYl`uaRgev26o)Asz=~<~lPduMYFpUb`XE+5AME&QT}D zcG&6b4c>SPoSBVGe*0M!1;PPUky-H&MLGp!Y@Xop)LE&H8p)B=)$#exR;@aEGW&Y3 zG5FOM4eA|I){Wg?86DRxzfwh?DrW~P3K0kGzD*9ju@Qnh)Xu}pFgqoqcHzM~x7b{S zdU*5Fa9vZ)*i}dU$e{STNHHD0qrmzUWu-uz>rMKb#>sw$Y++lf2?WbJ_5s=PtVEAs zulM2Ir+^myLkZx?-&2W%M^t3B`j{BiGkRvROBY!#BdaN1=NNtrCL{=3$0Zqr@4|l z^~SHfDaEGvcaa#XiCYNFR;~NF2TPE1@R0YzVG1j5U7xSI-?FQ|54No?D({ z!gpTzyS@9cq#*;z={yqMx>O=NbLFpA3Fr9xA=1!frTWD*x1GS6D3>vqpM$Ff&E;X?_5Z|1OAK*6~5E8y2TWMKFnjv9rK`TyIx4(UVb#X@Rt(*9Fr$o23 z31y>^$M~>`iq@q?7}K_myW+Uuz?TZHn`jB+0Gika2fiIgK2v-Mwt2=nx;sLUO^y@g z767Y3-#A9+FD8tGW5^M@-2n~du0Pu2GgUec+HSs8#)qwZPm65Utp!c2coc$Nt5?)EqsfrW1#1Std3mO z9B_*SE(`mFuBSD1?9`i8W!e^Y5M7(&xPgZN%CKXagkMMTM3c!^M7vPz`azb%vHJ+8 zq49kG6L-^je3L`UJ)4JCJLRuD+fIX&u>m!Vc18TXs>Wq3do94ws6EGb-5G|f<&k>EsX-(* zIKR=yz|XqlP{rd(pe_YozAz6&%k?Sqmp*K<`#R8=uD=2*ZTn8E-*c6q$<my5#7QUmk~dpqI{NkIBzJH1J zww>3#C*p!;!_9m+2$z*Lngi_Y>nM~$VrDqDdUbY|sM_Jjo0t5x0{lhlGUAXR-!@qdJa|i?L zfDyjj((09$dW3lIxaPzyE_c;^VNK9WI1k-MJU3Nhxt%-rl#huJaHX+`vmsT*-m_!T zj6En=qb(IxqL?3^wHh9XpM2rWBmbo@QC6=dSyvvhiwG2sP>|0a`Xqodmr>kM3+}_# z_vxurv$>Dv>|RU^X_643nmSm)UD!xiU_GPrFlxBF*#XVv1%3Gh56eByH>no{r8_|E8u!sj5Rke};HZnyK3HwG)cfP_caZlsT2tU{8CMh&VN~I0Bvr zUHUlj8TRext=E@8Cdna(IhK>A%(U@iao(#CkhipoUzHD#fo+wtI74+Xio@Ru58@h9 zt#~!sBpX1Do8+M_QKU|tBXi#c6kF;y`empL8dvn{i(dDo+QId=@c7?=#+=i_7VWVQ zkK!%2rl6p|lNt9vN4bWR-{Bn%(^s{z*DXx;Tnozb;YEpSQ4s@bb~MK95V9Ngrj7!%iY->v%*ICw|wg4XaVNLWL9IzWyt@bS-)OFL;ozrap>^FDNp<#4jmA?Egnx5r)808iDOO5OS@ zOT-IrR?n0i-PG+@<9NRpiv|;;qS6hkBf=F28UK664lJFDJMI6YvY zSZcYo{UAaAmk{{53qmEKhWlTEA_`orU{G1vzNMkRE5JlgE@kh6Sjtj2%d?-Ofd9pc zZoi0AWjEebi4-;WcdRVm`pw2%Tb^j|uwPv{r^TEqWGWp!XRM}BB8Ea3z}wTHrJPfa z_`73rcsCAj;MGC56dJ3p8K%n4+Vl8GfqaFR0DarL=U^WCdf+~ytFFq}CQ*sd1_2tI^KAJ28Vo3=Q-RQ}9yU{uV%iy_PXUCNy zs=!Y8*7e+%*gD&L6P3K*88rdruvJAMjh77>G}LI>4X{ zfy0k?aBHd18qfz3oQ*Vp<_$aqVxnW%9&@ib8F?XX-|Hc6Ptu=H2ZUl#?b+9MMPkia z^~;W_-!IsHby6+tQ`7YO-o8u-qYU#%1R1Kz6r^zn85kBMTM&HdxzK}m zU`0M6aA1+Dp+8d*OSRCE-?8xE7l3P^EjnWz?cn##aLmWa#C~_Hf!3v}kL88ioCIfQ z+8Vk{;%Vu8<5|6p4kxp{!$)65EsCR2B!?#E=y6)JFVgKCYEQL)GyX7;YTNciZsL4E zy`cJg!wxse@@TKOH8CX z8>TNhUJTo{?`dBi9=x91reQU?i*827%MoI7^r|@#HlT8Pvo~LJB9bfBQQOcSGyYzp zIyvaESoEWD^L!=i_i1I}jlVaUQ-El#(VF9lX_Vu$Ha&KTNnO%#YIx}29eb4YffoJA zVGi=}j(J13XGTtSOls8Tjiup1$F&0_inBUdP4BqZ*A#=QI#6)HMb`mkcPn8%G{uCgzz8ylZK1j_Ry_q)C-thNZ4_PbzLqE_4~dHW$z07RQ| z(u8p{!muG2ll!Bey9IH}k79pTd=YBn=XmvAKI|>bpwMaIc@9vww+wK>-rrhq82Kb-W$nnZ;&gH`kh;W>)Wfiac=AQ{V1MrQW+^cYQivkYwY83 zFQPnDz2N$`7!zLmG*P{VO5YLydq!DVzx-JX=LsP+ZgCBQ40bl%*9dK6oL==>b&l{! z0WN3@F6Iibhv1bBLa-w;U+yns9r|W`z*jZNsj;zEt)iB*+Zs;uX#0@F{2b*0|8Rgj z*}U!qcQci;ePV#^@C)Z5_QBdW_CtBQWDR|9{n00f5ez74f)q3TI$F)i2^^?RHUzZS zGIu48gL#JC5JSVBL6v$S4{JG?!2fY0gWBv6*8i@2dS}PqlX;9wI24J;CF&Sj`otxG z0%uSRru8te@z=q;>y5<0WsuM0U7~scY~v9@sZT~qEFUmKLs(uQ)-*m+OUic(2S#SK z`J4E@4CP|sSD(QDDe@iJUrV|ITGGlj`(VZ$Tw_Y5nx?J~t0zpqS*x{-qNw6joHJ?A z*oCqMCz53!4?V4yQ}-+hs~~-W-!_&j`&-G9#|_>&5mcQ=&4OJpQIQ(tX()qnPHw++hn4a?6cY2V2}Zhvq*@whqN zdbGMd$Wjg+Dr2d0c(qn$=X+K8*%Ms(6KSbOH_x&tkT=ChaqrsWVVbHAx6jKCeWQnj z$eV!c*GFpL_%lg)_ilc6{mjjitSM9jM3LCA&;tthT=-SeW;v6v*22|R3O)n(ZSfip zP@>%8j0vMT_8pFmdG9{QtdxhWSByl}bj&k1Di=c7O%B*0 z+hrxf!J$6%C|Kj8+{1Zj1jY9%h#k3_;;4Ddz0>+iZ$4_+-`=oLYaba;n2w^P2+(%_ zAQQULP<*u`Pj|%(Wt9v<9JfyQeM=DqItKi_n|^U-pO<$$qRoL*SET}p}mo(=k;f!+)m z9UV1meO+_-FC*e5wQ=yKlP_y{SpIFNUkQ9;cH;%B-YnY4WPuSL2&NF1N0=otJ;q05 z1za34Hxah#%oQPBXKEJ@#n}!l6aumqh|2P)gAsVgMt zn4TSkibi@tIB8}6suk2QgX(NHj_ELdLQkDTM?py#7EiyFFFw!e?q!~?Oa;C zn0NVQU#yx~w9AeO`6y#35Lu~<^ZWM^(K9-`Pr<~2$c~j(pMV}o3>ipIw~SSfIgZlZ z7mrp?lv}xLe@GXBp8e=hro-Zb;j}3XX zm1i<6>Ztwr38`z{8m(dShZvWAtk%mj%WHr8cY%M;Udye%eZ+MX2jhW zG0r1^2Y9-EMD{B%)hu<=n;Kgj@;3 z3ch6HdL~{z{xRK{NjN*hY~kd#Q%KJ2MRiWqj2e~`2B@F2p|Lp&`%f=?0uy*Hg1?qb zrupgI6v(!AoYDEwlBVkoiS#o!Px4aHu{dS z1E+Vof`&WEDs6{9N%_X=iVn5buxyT??p42d4ZB+7#?w-3?TLM&cY8jmQ|cv?EQMKL zB0@l~%kS>y*!!pxN{kv4A)H#`Yb9loTf{s%L3l;BwcWZt`$q{s(lx+D6-B z`Wh0SX$jHFnu++vf8p|2c*>bf1|jF+LWo%+CB+`1eH1o1ue@@!9Ei9{H*7TGFwqx$ zrrnz4g7*Zh_xqKWO`1u2#&G-GX=<8Hb^%PL#j-6Y-0pS zmS4|#f~uiuPW}pYd7PdZl8XK`=)i(}#0EfD&p;!L^M#NUR8f}&t=#*B&j)e|0fZTg z=i#P61U!Xm?`?#@1(wnh&;FeYtlCLHzoy?Zz=z1Du$jP(B@3m&CYo_CRxB?rP5(f{ zc7Mxdbm=`b*%clQ%WJcwG0n~sT!Kma)5<_5yZo$H7El42ToMPSQBb`%e`S)&f$+7;R1!A#aPnHpU&fcKO4S_HH0a7@szX%bTRuCeE+ zVZk>)s6=FYnHmWINuUUe9Y3#5e3?S$?dn8ZbAB?ses|aIv>#@;@s~Zp4P4+QdiqnR zxa=!qpcdiwcZ_SC={nT^K9H7@@**JM6O;+f)sKEd!*1(%jUBGs9pCO8vUK}7UYafe zdr=4qL7$)&QuB`&l856U*`EpUr+z9dykYMS+~1!K92chBPK|NkY{RB`a6IBd|Nu=vm7UlB_*!hf9q*Tv5 z<{we|oKBPTHB){trjklydtk<)?wCX;e2{nL&xP zIIy6jM+rEh#4ZLPa1qdaq+A^s9Ms?SiHHcJ3A!1?z`>+MaSiLutRN`+fK-ZV5hz66 z{#|4XvV_Bsd$m;BG{i*L$M!kp87aEadNjg(`B-=bGpaVtuQcdKB=UwnuZBp9t%oo zWeP7#r=F}nq&Xm61~8DO`k03JycaqJ#L!QI7zUYeMl(QCIp#(wgLqeW$@KbviPa~a zb~a?mB}l9sFL(~ZUQTV3{eJre3$x#-!J5qxE_d5xLk8XrJzt4sL;(1iKoz4VQ=&?N z-a=U%*p`b0HfD(?@UA73{ft#>H(xMBrY$l{_W^)1UHYM}T$;9bIGM@?Z0t>CxJ?*D z0siR&?6O;O1$3@}F!f?h)F>Mnc;eX{?`WcGG!YABJN(M-a}ZSMLkb-7Pf}jd0C_uq z?bh3+@|D|Pq?|Gkz!l}J7e7}^S5$1nT4)8QlMILglb!Tdk(W~?B%7dy0-Ef!54UGJ zU}w!P7gvXQPv*QoeHg>&F%pB~!O8^%TP}m-tQz1LKD802R2F{EH;X=f@})3;@ZpRK zeeTsf6dQdoOMTuWsL1suUw+dJqI41f-7*tEri^*+1KA_+)>uArsD@^ebLrLx{N9p#4)Bo#^G10G&rN&xhd44twg)5r4-Fp^IC{%u zr<{u=kz;TKTqes|fzP?Cg>+-oM^Ady0&47{A0oos%d43!EQvT(u^WkvI)2g^wa0s4 z(d1PxW0$=}$3u&aj;0{>WA#0BE$uG_VQV+?^D2Rd#mAYfKVYafQSHiIC%6CMMO*r> zS?tjep{i1>M0m(s=ynK*su^Kiqkrk*?gdJPUS&%Sce4JP{TufCI&o{fbqW1Tmb#m* zaTBss=zATENqO@pQ@whCXTH$m@KckKCA-}2XV zM=4Npy5YiXN-K5SMiZ;`DWBcDm&$2=BSL~Y7anl4S+mMI(y;{6uU1;pu;9;YwAQYU z7v8p@>^baCFt!zP+^puDh>&nvR`XzX2p3ESUQuw1jG@{qvy!Gj78SkA&Nk}8e#XNW zjIGxElA*p}T#~NaQj81}Jq+A#;ie84`EpQqY2ulrx0x*#a9y1`-ZE4R7sV^-5_I<1 zO6&3WTKKS6GuQ99`yaT4v4-}nkd!&Wii3T30!0iBG!u^;oZz$1@#3S8jnIKszZ~@O z{wV)g3JMj`Z#DD3|GpQk?P*z$pI7UX<#;8>T|aWG zw}$=M_KFMkYdQv2#7=&1^}PbhtpFJiE~dY7VEoJ#@yYO_6EDbn>3yEKDd1My8T%+c zO}pcfNgb1DOd8i{0eK9?^k(Dp)vv?rcPb}YXsWKcHty0?KEn75lC>6~b>PZN>Y^Yl z?nVMOvGe!&+@(fKya$F$8etSdDQ@kk=g1X?MzX~8&G`;dV=W<^*iqnw%ED#u3U;tmQcvt2D7r)f4?<=%;?F%HZ`crd zAY#~>oJuuaKmIFq!|NY^uY)QKT}n7-%OJRscyB31Ax)W1j0D>#ZN8HUK(N#7=CZ(bs(*OPhU-POgN-m2or;YZJ9E4!v)zYQfwS3)HQnOS=?IZ`VF^YrWb$XD|P1 z6`#x6+S2lc6vN9ltS1!X%Cqrn`KqzqmPmKiH0{QV%fQ9##HI5s`$?KE?1m#aacMU( z@2Wz7nY7YW+Boo7DSjfa;P0u>5Er1Bq&4QKhImL z+JYBO+KkVAo`>$#bS=$oYy-xxMI|DJ1JZF^hBD|Hj0gAG4f!tFHf_Mx8nJAs`%Wm= zZmqm8;RoK`q(t?hbL2HaZQ6OQRR)rd^#f{>hbL-l<$qjjAMOyYmlCB;=e}Y+^%XU4 z%AAK%MPff;Wf+C+IJCP#beGnYZFL7G65Z8j1w~{YMkzNI(5KIH8cI33QzS9Y@3!Hb z2Hm*#(t&F(2ntbp!Rv0il8F9vg>zxWU3IXh1ygA+nd>r&Hie-^;eXW_jkEA&g#V3-FO1A^rk8Flbf(asG$F2lE{3ro$ zxYyo6bQdJxQ@&pyzpu3nR8iW}UmII94;Y=f+4H-*Zqn=rtV^jLH!khM7yrQtergP@2FKQopQ3wwja~??mK<{zG)IBAH!k#Y*=~QmTy%7gtYTKUQ)m& zY%qsL4PP~Y#@f@X_Y?$P9Ea+T0ziX=Y+q{GhEXgPb?k(auareHhowtCLp2<4fb{2c zx~z`fmfvl2(1}2fox}WYbG9D%ue=xucAuI3IG=Y8xd#_2-F__WS`ZaiNti2px>Kh3 zbXfm@d0~f*qd5ZKF4mar1H;W_Afqda%9EA)v2yLvu);5nlPN>BqB#E7pR_sgx~S+X zuI+|!&^uJt9v{S!#=9-IZzvx^9~Vfxm87?jMb``nNI0VrSI}rq%p8VU{cLm>uIRv< z?K;CF=s1DrCc|_eK9gJb-~h0ysrK!WXGLOxw1dwT*N<1{Nfq&ay1rCz+re`Jm(y_8QvA~ZTC`kG;kPd$7t ztJ?KOy^Vo+p1`DzG)ABt3fzGGm`$AB=JSFi{u#lrD-cd>l0$&F0MS=5 z#(4b*8A;05u-b-~7TL7aLV?O3*mjsb&_4fDtYF>&L{1Bp#ehC+BIn6W zYi+U~L{ld@EB-SZegA^~Ok0YTag_<3E5NQlTGpHoMg&8|jeZH{w^irFJWx?`l$C0(OaIweFpM|a17(IquNy4(gsxwR9!T?sblHU@E#ko|U7LMr(Vr{^b+JZ2 zJoPHfu<~W)oV`>!fx$C&8>f*iEmA~t&uE44E>8W4JHy=nMtq+r(ET2{4xx}B{5+eK zSs%fpT~!pOZ6tFvM3gE+lX|{TyD^&xHc2`^xg;2H9nq3VWDX4gI{FYI0h^bbArhCuCUHedM zdM2N3VP{JXg!QVjq6CAfHMy{4(v}HYrQfU;=?JIb54n``jd$!rXJ;<79^by6^cR}c z@=~$oda{0VYeIBWJTM`FY^7&Z$5*x6jpjvLXJ&pqjsfbsd0dz;R-s5Y8Y3XgC$hYF z$%25AOC`^_g98IdN*!#90{qWKgg(uSf5dyQryDS8?hhsSMx-&QU!w_Yk)>X@d3n(M z4N}uGW@h>A`ns&9F+Kbmm(@UbN~WBLN4XI$^%2E=iC<0Q@xF(Xo-GMbZ6JYGJr>sl z;5Se3K!AWA7;1t1PgG8&!4Y{~Oc(%aEByBx(lGMf1FKq>5>TU>4%5-R)7a60Xb@Pl z<)5Zshv2zG}vbq(787RXAi!Z^l?9+=mIxb6jv=OwB75l>bO~xi(y5)fFoE zQ1Z1N?M*TBt0D!sRB0rv!8WWjPlzF31*E45ZgZcs0ItuHGl2mUVTBy-ei^$R{+Z{#p6xYSBs^6~% z2{r$8dtsAuzFq} z)p>|augxp|z<2#HbmqD$WcOF={rxz~y<7XU`Jog`s7m0cuTS!@NhC;$%nlE#TcL(N z68(+40gIpKQFW<}H68g4YL77_gs>CTFv|+nH0bi~#s!u?G7B6saS|RU@OCX(Y>Z{4 z3!nQeD_?G8uHI~~^6(IDL*FsQthx#Px;Vq%vxh-3dMdXmsig_M_j4sk)v$MnG0)nO zDJ{@Tm{{jXA-|@_3pE@#C}ElOAd8j|y*&$zK^Xbo=7|lJ$5k9Hi%V z@Jr9GjnxsU^-fu}fDu>6r;1QNYq>=;x|_~+xY)gdmvvH$8pwoDG|Lx^5>F;^62NF+ z2|!=W>by^Y6yKSkR-^9_dq8bpX&yU3#E`slA=eOuMbE`iwITDY#UelK%q`(D1s^MB zlsH=5q4CbS>eWuV968_6+(~F394LF4-EDfM=0W+a(irHY#Zf@Hms7I4bu^RwicKm+ z>c$zN_mp9isd~Sw@k|xHG!z(~c)wQzNkD1mA=bU0`z*h98g&H~+aqktuNmN$iT3+M zuL`GQUvjOz*tmhTWb`hz0^WmDiY#koL&RdDf2_TaYW3LqLyg6C-ZY5uXl3+yEr7kZ zXd7pWFwa=cq^?-siL1ZXTY)etkU{O7w050+s#&@M$QLQmP<3Zhf+5w2D8F}y;m23Ee6BP|WV!<$U;+;U33t=}IXDQd70n_hkv z@Vt=v=*#?B$hV1uQ#+e`2-8e%ZZ1WzoDg>0eZ+LxYHnf~>G*OvW8hz`I^6pXu5%IR zKBt}GJH(EwT7H%2{ngbze{f(Mer{Sq9o3?Zn7@?ZbO4{s4;XO>)UjYiZ4&F zfMJ+1U>4q5@#iMun#Yz1*gvBqJN@0IYvo)f5%IwT6R1?H@`YZ zWhV5xADZ+>trx4O#n=me94Z>!aJa`c!#eZlGWtUX0(hEXP*-hvsoffvu)o9Pj}~_) z16}|2^&I$ayamhn+@E#uOhS(6buNxVKW^Jczadgo2#D|Rn49|IO78!$?`H`1w~tf70M?NGKQbUAqwH;0ttNQ{ z`Q#wK_fPB*lvi?ClQJaK9BXo8%=anvEPhIm*1bA<&(cbCXSIJ@NKI_)e0PY^~0b$>oiI*LS&P@F+=Wn}T%9Wk-v58D@ggewQ|V%q&h$d9dwVw4m#ol6{yVsqUzg8US?VI%*>?^eE)18C4>zKPgU?hxAOW3`@eN)|uvQ>%_-p}afU?ifz2DX0&Mx5>0Z}}TeW6MSM~HuxBDI@eKcO#ms2uW`{S(9ov5GARY)_vi zTc2#_s0tgSJyeBUSImg8ChNwbja{gAPTtQ^{0&XpdR=ZL3yn}TaDH)l(sJqzxcVRh zF!bIrAq?Oi{J%^T$Vso3(mt3^3qd8e6R#2WXx*{fEp7^pVj+)>8lEqJYK7Ks^F-R- zx-NfI1dC)5t?%dkQ72~&#cw+EyDDq1aqnvNkVj{uchP}u&W~LE;TOryf56Q#|4ugE z%-h-W!Z#w#>xuQnH%7wC`(TOg5=6A`4B{GMEc+abC0`Sdn`mffaJTRQ1-o0Ju2Xgb|H>ywutpW z@Lr?%hQG@y<@|YB4S<;pJa=?M%)Wwt!u%kXyBli#=JGi)m%|?y&k4N&jL7$k z5>=&m7mqMw$1{N^0w?!bDeObBqaOep_q54`kM{yVgTKn8X;u{ZoZnQwZ=@0VfsmC| zmlC~+ata)kx8yKX4(npi#kuTPB$t!yEnRHpE%p247I~H2qMl#%##XT*xlihlBFI)s zoH>~1vR+jmAC6N6Fc_*4k(1FUGdw(a_S&cdU_8PAuibt}VC&PvZu3zJAv(17Z<3Du zeWandwd8*(o>n}U&D${%G-3VM-J4Sy%$B=9`gu)aqu?nAH)-Pds{TNY>s!Brr?xZg zkHdf;q9xPZ>`2LWu)3-})E_<|2tryr_^8n0fYY32+UxU10^F*1(3(FD9!C%`aR_a1_EsglG`ElIjtZDoU)J=bD_QmS{SFVG2NS%IQ z{r=}Zb{%Hln-`s`U70u9(q9rK0bMqCB|mfaV8FVm+aDP!#=1UBcj#t8mf;c@BJdcN zEc`i-jZI%L7G{3OfYe>>ro4#){+3p1VwqORqqkRqP{mjgHf22VIj1!t6qs`{TOmA3 z$;_Jhu7DmrB}KSR*}JAc9$0?OQdV|n*Y@z=P-Db5dIj@w2u|1^){CR6Z@9nBsgCl; zNJ~qTRN~r{e!zqR^jEXDXFf92_hmdX3-lA5e|+|uWB_aL62{aq=|?9ax!M{fJ~d{@ z=iS5L`W%mvFr&$CbLvCIFM-3+g&t9aPQfV8D|qPqY>(N1MgcQ$5s=>GM`JOXtw7P$ z^U)F3i3lG1@GYYev3A`bPD*XcU7@1j{}SZINrN7WHPAXW1BNrt73|uOxY}sQM^qw}hcl%S zX*oIOUQs$d)axa|6@&>70OO!PLJiyZ8OG-GKp(I@xg8|{e#RS7lH@kek|Y0fw5)$_ z*M#&`)OUhE0F9*d&yY4rb%Pk5mOqcvZ!%uwh>KN47w|Dtvq*a%O-x{7 zjVkEyef4`SHi6_XJdn#cV6{8O8v4ay*MrA!A90s0Odkn6$US4-&`bbDkWiGkJ2~jX z^T+x7=)#Xv#|T2I+d-+PohM9U@eVdyR0lG3gqpp+IH$u zqVL?%LZG``ZI9S^wNVG5dN@#9Iqf5Rb6qz&CT~|WO}_9HA?%s_O*{Sr0}n9R5lq~> z9JN5W8^e6kv#)Px9FV_$i}Juoa+$(gmBWA_v)ZWyIcX}JYf9UfQj-;IT&*;o2s?8i zIuiMjQH@B%`S#&Y$%iVPi+4eWIp*9w2kCA%h5=v!f^HZPke01%_5P|~_vojmc&=Z}l~%V=>4jZ9_(12yM{Uq|oN zM_kIo;K^c^nhOoSCt6I%cSQaVSfO5v3sYGZu=~k+M-NKfNe`fx?cA~fH=weePjX|i0NoTSSD8w4G!q2We|e+Niv=u3wnCja}_hWpY5Ks zZE?;tn^_^qg_EC9jd4uoWc(Mn<#qUCfwiZX8-4;IIkT?XNO;Ao5#G%;MHTKZJWN!m zyu|mp|1mS)R~Ye^D&DbSU75A+2_S{~lIgLxOX}h$3Cyo;^-xq4Yi+*lcn3E7LX)UO zxuk^ixb?VQmm!>r1s?|Znz)SavA^nytfIv}ly4wUy?%p&XW9O236OnL;RR9YR51JR z(EXsonsif^zFi9b?jZJnV#*jPkttG;9}7wXJ%R?wa*KCEIUGQ z_dAp=v8DajzJ=>&)6EZbr_x};W8(qL%MU)NdpVc#Nhfgc9g;y9=ecGA7YqK%u2*Q5 z{ektYIm;Gf+OFQMt9*xP#g!Sij~v;_v!%xGGS($SCN2Jbg$R<-&Uv0 zh87Y;xsXGL#=;uS766+)ei1uiPyy(n=Iyl5x_PFyFRBSM0y1$W@ zs?dVuyaMPiQ**ZdICfD>|7fr?uACg$pc4s`x{hWAjj;)F)p+Gx%Ex9?aG|UEbU|v# zJEQfASZD&*+es}l;toyh@>fB}%)!?eZ|<+oQMtc9kCa^}&ufD3undW&V+MLz4kwn^ z3N>!ae*ksj?C@T^82mK{i-z)pB<#?4-0W|3XGD1r?$ip*KuE0zmC_5ro=};lOcMx; z&M`-p0Y2G(1&@zcT z$KN0tiny3tGcKF>cxZWE9vc93WKhUx>$Nsf20q?2IU7GP zVDx&v$Af(c)Zx&t2lBD6O+4n~;9B~ouuLe}X038Xq=?eiS#kZML6-Nc z_jCHy;5hpT`g;pbnC$PxW)rdb1_m{4l2Vm?!nDHC9Hr}x@jM(Kf~V4>zunCL zZaKdm+RYbfgS)M<3H`gyHT?F0N;zv(FERI%cip)sUaREC%e_Y`aMV) z`uN9l3#nY2|Bk#ZKPJOH=}1_e_yERc9zptHbP9TUW83yTdg>Gho6B_;9g6z8k!yUx zrY%UVzPB?=@T}_nE9Z+q1v%~>Kul!yOXiEQT`J(B*MZ~sC8*`_B|%|ko3r@F&6&ZH zN}G@iUwnFwBVJR^yyKgTPhb*w^r(WYnwtrW)g*P-H)4UKZ73QzEh>jX9hV0S^`C=N zpYj#zm!#bBqlo>2&^4x6PJE3m8{wjLrknYVTI)7RipGj!M3$d^`?aR905^A!#by4G z!cn++NMT-05+S|(`M)I!iEz@$cWcm(*<+lj|Y>oO-eQ}_f|pSa%UpQLDISj)yE(ImbH zNd(d9f8G8$e{|6}XX7mnTS|s#nMJa`So(SQ5=$ zKQn8%#OhEkr0Kxl&@ii~nbX5U6<5m7jCcQskHI8PEQc1$u`ya~cb>I4^E>lKxlk;e z`kO9P(GZ&pEziC9l%=RMG*@;_L>W^`c4Xz8Bxg-Ehd-H`3qHFVET+DjYeF@|%!7J+ zVqrGBDB1e%*x%TL65MEV58@5T`FC?sLa~qD{T=y%gQW^ujL5;@K%9&*NaC z)5W!24Lyc!6W)6;qm2{vwi6zFv?g&kqC;o)1ko4f-6=BPG;MMEfrBy86ka~?JqCZ^ z`)Z3{ewrIWiHaOCMat(U=Io;NjXLk4PiCer-iq(`zew_QFWr|G>(|0{Y{!{J`O(R) z`$(!gD^n&LrkCy*ea2yy6Y;_O+|8X5&P`lbnAyL+S(>G`sjbBmXj#Swxp_X(u;&n#i2_HHTkGIwkpAYXBwg~7%b34Ky)xRP z;}w9^*pYr$h-HflqZ95E_0=f3laJZLJ8k{<#CBG&mI59w1EBn!O^LKtV*W%{P#|yj zK-pz-IT-#Voi{g8-E-B{o;6b0SgqhhwR)2^nzU^(AVGqTCGX!K5(vBH|2)eoEtQgc z_hf5NZ*O?xohe%|eTAz)WkHg0XGz?&tY&OIr_+!J%u|1E1c%LZCQ*hD;lfdTbgiX@ zGRsuX5s22X0+xg?e2Y8U>x$uDxRGj`=@+B9WqttFQh3cYxaL^DU%|tqIRi5Scvf0p2R_~j(U zCfrRQDw6&r?GYM}gG#t0B1KpDJdp*(qN<;0PdlQ-{lvRd>Mo2n4Ultm;UAOj?$%xo z!(ArC3o}4P_Zm~YQ>|>8sH&s5g z>gt2{NnjEu6rx>IDB@~b*7L)(NnB1xxatxuu1-%Zb1>9ckH1FLnY?~w(3+<6oDz#> zF;ys5Eb+!mJ$mE+&jPq~0(}lfYk`xR|EC4cJjdjr4-E)y_GH!^_<1>VT`YXj*Q0~J z=bTM~FbA{MT1>K^N32V;nU)cQ1lkD*ys-=GdfwTj&%i?EDEoLwCBGAp7aHyfbDXBq zmJ%Qj_B{q#m?#&|EGyU=MlwDP`AiZEgM^Cj|HBAs-$+QjV^t;fIAH5lnw zM;PI?1RU-|&M-IqG353Rnu}jE?8=}RQFpi6pKAHz^L0n6r9RO%@hrVP%mP>NKw;y$ zpS^QVac`RH6o!m9)pm{I!|g*-z*mmsq5N8CkpvMD_#Mk*?+sFV_h)QgO;bd*PkdlghjOd? z2Kh>f8==KX0zDrcUxZ#APQ-uQ?*+E>K%RSiK!nU#RAuO1C|m#IQ7G-n_)14CX&-HlaAEA<=c&V;$lT?WdP^qvm%dT-3z)jsDk1*~ z&W)rG{9lwob*-_F=i9mE({3F)@ZedyF(QGx+g|`>H)8byiv$UI3Ar64q_O#;!L#_m z_c`G{s%Yjpnh6+=JE*R8^&LC(ea1(o&jbq&l{p`|#mzHsO3O`M!0>jAlx_m;hu}kn z`qXx9MbpP?pWdx;R|sFX(!k7V(0n9L{Mc&L{y#GYJyQ&#vX%pr>SN%f7Y?&miWw>C zcie0d$~UJ;W`Ji9sc;<|H>8V@f)Y5_xqkfK#onZr5N{g98=BT3E#1YN!JfqVMO5!Q zqSqLF9FV0%2;mtCJ(3rfvmGjCl7R59-Pe33#J&9cvoq5kG47A%r0-=lBcbJYpKbhP za)a^qblL;wx{k;i52thT9Wv#CNT_R8w~NXX3k-Gw$G)*qt?TrpCS*@2`8nR1^o)@c zBYQL`vMw+sa_XS5!kU0Qgx{Xy8%b z!2m{sT^H41!{$1Go0-QDAe(q{ye)M`KNY5sk5r*i@%JU89v812LWu9sr2s!gt{X;> zmiwT(&~kt!^P7pvQ1slQ)@NDsB~6n~c8l$2)<2jamp~E+I+Rv%u_kHF(oZbRr*HsW znqO-ej^>H&?}c}=I`^NkcLXq@mE>@iI+&b(@e?@I!Ip!m@4z)kJ7)->pGX*pPV)%o zoRRXdIGg+q=DIaTDDjt(=k#VV-^DOJ++zu*st5kF5}6ShkR{zNB8-`4YW^kHCQwmk zKf$(>{bRjDsEq6l8uU^GU4;h1 zmcGk$O|_=xaBl?rEcuq$)z79}#w}%=cfkDLGSF&8s zmzcYP1|AeoVUk)4NFnJe*(GNk%sn1mq7v#POlKtYb{JAT)eS2}-#(sR3}FmU3`?5w|g zBY95x`jne~&l~!NqX&HfLRhH(^xDmC*pB1BQ|paw?`<_A9v{QNORp4WEtLt)3ry+s zwC8OVO#nqk;wPa6;YD26cse-Ui9}{(3UvfuoE@2xUIZY?wPgQ0cX#I+RrOGv1S+qN zK~103i@}3v6xk4F8*H8EDEbRhZGFyxNKIGxM*KRLxk{f#qsE3mtvtz7-XICAbopX? zCWif~fruAL7OKAOV|h~@8R+z^WS&?Ih1b3J>;_WQr&6>9J}9i^9p{h!vi(iuZBm1X zpfq)&^mT$va~6yH8(DpMMmqMM?0(B7Ku$=eN3qiWi&6x^IRVXuMZ1^J$cN*lWt~HRiv?1)DJj!1ux=z zqnW;_q>YqF>q{GoC;^&&0>87+gb#;sB&yPn1xH{TpJ`}hSk&ZF-&6j5!7r%(e= zmR(Rfr;Cy4pXdgdai5FedWYtm)CTR!tXEQjmV>= z0cr<9J1wQ;ule%PKwYsvEl8X6!)v^V z_TDyWBE_e0*5m0{aGaln86W_hl7d2-T^}m++EDD^&?zGdduXmfJ3QK)90VY-r<)Gd zNz^%(NgSQCOgzG_gK&5 zoHQ~};~%jMkGuoMxKWmad7yug-sx69!rn8^7#%70EOIG2268E3502uIwx(T0a4=Na zg=95BAwCNoxR3AUQL@f89pdc2gDmgc4oa9SzwTv9E3}QB!#e)&XbNC^u-NDFkBjtJ z61Gv-_W%(M?h+;=Ho}J4zD+p=uMdhuspa&7VHSN1t4x%a9Ch}P75_oU6P?6M?;Zc1 z9MX3sipK6n{@b(+=q@S6rx;zq4%`J`)zm`|3olfxlxGJOH zG+EgP3B3D@`CGeVs0)_LsYzg6&jqhJ5`6-NT0C8IRM_$EAc70w#=Knn!zvgb43)A_?V;RM+()a4oue+gqgqG zGA7bmu@N||2~Q*aZ!!RWSH^S0ZON@!p7FXSBcTeW?LSrYYi0`n!=9%^L8p%GzcvW1 z)VkVU=XPt#rO@>}3TH2ghjQwp7`xb79Gh0LU+};eAHRt8EvZbsIjs>k~Cw~E_4Vd9fR_ClIpO8NKQ?%nEBAaQv-@`$V-ESXmvGToabflsAt&Gdf+ z+lOd@4d{Na1zYO>tn_1o0n!pG2@oKaV8ZA8mYVT^A!cT}Fl%xR!VG(lZ0q)*By!s9 zGYOFwc7KUp(7ch&#*xYGWc*8eHVtSBzipW18$egU{GW@qfT>qwiVZDNGAC#sUfQI$ zt!5hfc1dG~u!)!3-MNK*q)_e2u*eF8BVD}peF(Jhl?_#$vX?oJ`5q-tt+M|AzXLj~3XcZ72S=-F=y_Z0p;{^*WQLHu^QLZs0SmEMQU^ks$ts z0rlxQ(4Oiz?J3KPtieUkc!j`Zkx0fgAVMf?XLg)vW*44Em0562!42+mp z#{Hhf0J379zQnLb1^o0!Ko1sV*!^ZykrJY5wXs!0d*kEU_x3-!te6ll1GlOe)UxpG zbI!>7JJ7JFJ=ZjyAT z-yWP&mCjpeYu1d^NTlGi7CbZ$K2+l87_MAF3eb-2GQL3mpL*wP`v!(WYrarb!#lXH?Kjr2L#NB1Ky42Otj7*VmU7}Cies7IVUhs zup*V}+R-gSMut z07ppX43K0qDBUwIfhq-iJoT4CN=ZL6wT)yZe!L|)D1n80SW$!o-6jPVP9WU6{HddU ztUZS|3N1-%BLT+zw7Px%3n#ohrCB+&;F#~lUFC53dD<8<5C~32mu;>dWtMoR#aq_{`(*!2JbThnG{CVsfhiC zkBJ{!#?b_UFCAQ~d2yHcy3lgpPm1x;E!vtTM}UT={fj%&x5K%fe)(DD7tqMW`TW1{ zV4=kDgy($)BA$%NwTq*<}}{=8Yz0P%Kv+qf_d>bf6u!g0-I}Uyv&O@Vc64w6DCpkPx6gK z^Bc8SdjH9imdavh9uuFRJ%#`q5cZl0xEJ^6hnM0S6q?-c3&;?lEnCp66IM%jTy~0s z=_Rfu1Ndy1t1pejA|mSzn8a2RI@FPr*s791xEky?a=z^>0maGv=0MqC0AkSa8e!xHLN}zX>8%kX%XR}r$tme-UgpR7k zhBR~PImm41e;M}Mr!p@=ab*cd~T$F0lA?O|ouS^$7rslI%&RZQbog%zLwq7nYS$}&V z{0x#8{aIDQNIm)Y>#t+RuSV@B~)p+0$B^95?fzmhUm$X)yFv zR+O9_jo0HrbPM(ncApar#mg#;^%B543z;?Ac zId=IDldHaQ9ejTjzDC$i@9o{_AMQHE8q+r7naZ-BRo5{wz`NODXp~(Qa4Vx|mS}+W z`hv>+rNLC@cSED;|FI?k>^Y$S4<5>~lDo=Nq>c4Dk-k^L^1<=qy7x~5^XA(H!`InL zcR}q2dbcZ@pOQL4t`<*okGw7C&l}y&qAbw32!vv@C4D)}oITEYwlpWJx_XIlEW1Uk z4m@ZhyN!3r+xRsz1F|Ud1eJcj6TD=-6OMhgc~QsL?$cl8ChyZokIL+rPD{+}4!;>*wiq7w38zyN9`VJBK34dMOkJ=#ASJr>|@OPV*|7Q%KglqH=ppA#GpKjTu19h zIKsY`=kZ>yDr9dVBgK z?|1dCi`06zdtGIQT|pElvESOyBsR-(GHU*#G=}1IpfP2=-cERHRscRYroBi{w2V#A zp)0r2CEL8kkk&?ZeJUWU7u^Lsv%e7icIQezYu5MR4i?{=B^E=RQ=zSon=cKGkok-)uvP>4Z!@LZ_u*H2_c&iNVTIRW_@^7Mfawbkd%TI)D zF-4LW9zb(5A>+Q&XRfb0=MqgPhWd22Uh8@&dbXJ|)~8P$=nyWPmo-|=zjJjs>2tw{GjrcG207Ia0Te>46Z!C(+LOYQ#^+K0rg*RlX(UO& zt}@m`8}k)p4@@+cGt`%P>O?1G*3kOr20b|Jkn2qv@H;(wXgaU~e~4KcEF26}0C>vV zWk0MirM*JF>Ya{+zKcgfjdkO*{Vz-Q!cl(pWdQJX7X}kzVKu)cO1y~VcgGiz{*IG( z{I-biUzhme_0I8XJ_&y=dqWN@Z&-E++Ar$}Rn_r1+`U)7M?>5{+~gmhP5b_rf_5Hb zUi0u;vnSf)o*!6@)?Al2xu6y=Aqh03?blqT_B-r zM`Zj!@f(&}4b`b}v?&=0Sn7mB=k$6_?q#IlS-uE^1tt@%p)N)WBtK0Iz2t zt+_D}t?+EI0UrKbEQKYUjpo526OFe~*c7__9P#nU?9QafCU6q;@Xv4gE{YJC~e+@N3 z@IKH_6%yg`W2+WsBw@AS=o0PoTc<}3q?3T?hWADkid)*6MwEo}`-?N|gWJ(U-z=$D zMkB&9QcK@z&el%Tr*SuL6q@Q+|H@>^KBQN2Yfkes7;ORvl7SA?CO^vLlHqk%YAqmZ zG|rBf-d@cqP`Dw|6dP82J|8!+Oj6G|StE+GxZ~$OjXGSSVoOE-TNx>nlTBK62ICIL z){xe0*DsBY`ufyD#X}zhO_@c+38_;>`}Os&^d|k+92U*_77~`bs=hEjc@+R4cQCU{ zVym*IZEXJ^f_)NHCG0twSm(;xy_EAhn=4!o(o)w-=CQU(0|5=U5+;r7y|glz|wG**co&qUM=?4Oi5cN?X? zkfZ+@`drGM+%kdEl<@ok_(c?Pn1b7}@;2M;4c@zW^;VbIptB1@ZCoQlRJ42+C+C12 z)3&4r+RJu-hVD5D^A&IOBM@sXH8yVbRa5r6g%962Fd>FRit~+nbc9$ITE~6>cb42}EKQ0LGZ%Cs4UF|n5!Eyw+ zRRxPy{5d<~&$IoBXAIjs*t7hvwr4v1d{q0D{a4T~$pb12(q0r7+!t22wq`{?jFzH1 znEKkX#z1y^uZ=yqaX}9|jN%$i9LK=7{&EW4zG#kMx(td@$K{^8kw1HW|LWYt)x z$tdJIe9i%8fo+h^G^*72p*tj*4bHWrU2lf*=IQn*GgEIFW9*3g+rkq)*UyU7RfgMc-( zSOM))aTf2`4h^CM)ubM!hfjnag54IhgSW_B(DK_rrg=IrUr>R+g~|oEqo_XxMR!>y z*pB&3+n}$ts9_Jw{AsFEhO+BRfZ?Hq^hmGq#yYd{#syj1=5GHvQzST9=Gz6=)R2AD zRf?vn`jY)?E^YLf4K8$-;3sU1i>gSU6Q;96o}_%;=sblAv%=rwV)x4TcjsM7{GR)b z^Hc0i3#KY~LsH6Ho!1A#UpLaN-i$n3^4`pHTTj+*J?H?opQC*Kogp2k$yGl}SY@YO0FJtPaHR%6J|uC?v9|GW!+g;wGz$A`sPij|HU${V|fzm zYD_z)`tlZ#QZ<9SQ@pq!CM^x3TJo&$&2)KccHySBLvB(#X6ssl(pC`eYp3~!!;K?L z0vMFy!cqSc_wm!Zm$ zx2j*WHGJ|>c5GiLHub20l}Lv+wl66L%W}BSW|+u}7V$KC!b_I5^f()fehtdH2Ku^& zm~%=?KK?`86uL>0Og{?D5d}AV49h{f!99Y)^rlopV$jO#Lutg1Nx5zEDZH`k6@y!C z^uB4A`2!a`v0(;7WUW!vBA1PJa)j@lCWevcpNcbqkkcny;@X6-oZs`5DwC0#(ibe0s}A0kHpV0x*vEJQ)?3cAq!= zR)~)dqiDzJoIZ05dC>$L?ANbCo9W{8b_fizLaBJ~Gs-`&W?=9Vm?OGqJ($cP(O^DA zCKc7IZy~C_8{w`boj38WFA4vr>Fq&SeCypL92ylJ(UuuA_W%(WtSuV#6rT?!x z8VxGn)@j--u5Fg>_6OwU)Vpj~)O7OX?6OZny^c&ATSF5%t)smCw zvy)InZ1`P^8&+nW3rsPS{|XUm{G|p6`(+d!$_iLnaMrI&M(o0aEP}; z!8RqCaurzMeZgbDLcAG&>`dtt63~|56y47^lp4x-yuy_Egx(L8$3wTUh#mbH9IVax zkRuT0Vg%@6?n~=~YGt6y|JWP$aVE+H;LfU{Jd%3~k4#A{>pY>R4qaKjV!O`_+qSD@ zl&rVUC^XS`$uvjpg7}j|Dvvq^aQ)#=@ZKP2LvSbm9vF7q*M8N}h=hKB4U|@bv3iyqt2fz>;sG3N=@tR(%ar1Ya2%BN%;mIrV-6KCLPSG#mWk zKHq@uUVDJYEF`S*z%L-E)!PCS&f7SB>0JPY8WNgO>fVGmio#f9Jv%!f1)zrDZludW~vBlOFo!*$+rX$Lbqa~bu=-lGh znXvI`$A_yi?-=dOp}6zu zyxgFvhYgfzr1>~snTG(7v0``fn>hiU^vjCvzj}f8_G}{mCZy1#W9O%V0*h;TpWtxG zCz8EHET8+u!2bqCk1|@^NUOeHEm80suzmG2#0;YQXIW?LLHw`mKcv}66BMe7DsU9N zitAj`{8V0mPAU`DftDem!z7?*$>$8cM=BRHp=W%O-qJLD%;HZJy=PvKKa&{uJ${kk zE^1!?V#p1^f`1S4N4M9X?h&x2;Wrh7cF)4?vhKf}Vm%9@mh7JXNL|x*eb8pp6a3id z73^=Z50^;nY2R*5mx@&Q(<7b7qU*BXpMS{~yZPITtr<^dBI~jSi!aI+8D?fIQOUAZ zCNRrPORkN~&K8N~prw!sf~Wth3Al}}4eycosQX?X?9OD=v+>M~Jc@te=jA5>WrY>n zeq83=ufLO$%^DVR_n{2@F;Qu5y+a=80=9?~iXCs9$n5?K=eAQQJTOl8Sl1=?w>KKy zBz_>D8rA&Xs!>udO%uUR-?OI^!4nB015S-uq5C&E+WhDzGwc2^UAp|2O+LNCNUOXH zy=`RTfzOrNklT_@L}myndu!jauQ!?4LGu2o0a*M_{^n5(-1+h+#h|%`#cF}-GmKa~ zbB@cHxsE%A#@)r#2R@f^VuK}|={hE8$vAapV=3lYY(ejjuqkO#NkCZi&C@8?n~?4T z1B)?tg8tETQ(HYFgfhQU`F}ipWmHsc+qQHlE!|zxFmwq>cc*j@DBT?b64KpW(nyzp zbl1?`os!?i`+dHjuEmmJ&$Z7u>T0<;^*y@kzFqZIJU>6@bUQOl8Uxjl-tI8Qchf!> z)gcv9+sw^a#TjGwst&!L+GQ~^&t7(&9!TqIjV@fWhaWr}r|){lWE#qJmd||{iSOfA zlY>Kh--omb*0OgK8p`g`k!rTZA64?_Am>HZ4UTw?*tZr)V~+t3d>1biELoeofRO6>AVQO;}3EFTMBQ5W}>KV ziVN~EV!%9YUk@Rav83y<*j=#50yjgyfb%4yK~~yxoussn4kSB~d$blK1t|RN`%y+> zdpASR#)DmhaI^5vT!xp#RFsd!<)+<8KEs9z4yI!#&ew6W-kKlHL2-5^bqrjAY*Ga< zp{T0j{cpq?@U!f?{HMzk?-J-|+((pPi4YN+Xcipo`=vH(20&@7VmjaIE{v@t4`dfH z^GKx@MG={PJNV;?=^(Q6!&iqqTo_vrPBswdk^XXpcXc0S_jtuQ62#UH)ou3EW^Cv~ z=MKmgQ|s-9G!Hj-YF}L`m5x(qs>!A{s!eF67WMzX0+7XYcoX)vaV*@~?DLxa{2(va zHzC8X-y_xR2l-buf#CMvrc^l7TEJz$F7{fI5t%;enR4@eMZ{=7F7wN|!It>{##JvU z|DF$vb5#R>^ldaJcAmxP9rjrHuBTN;Hf9Os;TBC0h0A783_ZOgE6OJ7G z`6C6x|B=8D5iQ$4La5`KtJXtS`*`=q3J`nw{Ja%Uw?zxz0~AbLYMJHD-?-XmsNHeK@v~!H+-5MDt5)s-n7n<+@OwDG!mz z9ya|q&I*gW%XiM5rEkZa7e}%H6Fa7`=uFLY`n!z-vBV6^Q0lERjn&c+HC5VDOGH6t zt$r)1yNj(|)HCJSk%0W`8+c7|#)So5WnG7_LCN9ORXpG1)$Jh=`eQ5wx{>uXwD)&s zL7mj&aw9`IoSj)Z6yB!H7T5iYXN4q@4GS&lMuB~MV=9xv7MyF}9@jl8@bkCh(tL!) z2ZL%qmk^_#5d4bJ21#}M>H%aFMBA!ve_k3%7xYN(Eu-36{g#>$HPOYRLB^k)3KJ8d z;UQx}58n-Z{+g+x6dLon9PO!NB@-z$-^<*CO+E%6dR#*@<^O~7n1I+A*(KedN@GKn zxqvcJBUf`91AMmmW!ZU78JK{Vy)H*+1U+w#WH7+$3AcN{Y|}j`ATCGqMxd|N>-VoK zR<>xMR9`{$)5BzOIe2=vp@shFyQA!y5~&@aY5`W^h>XE!&nTt&U$rRfv(27k_h*0a zBY|;d4c`A^XQH7YE$x7&j3RXA%N`W_Utpih6MouP%uIFK?s>;LsF(&C+4BF=a}Nha zLw0U==l-dxeo5%*N;MXS!0l$^5ss752a79RDAuI~6PxsN2yh@4bDe(TA( z#VX`gMFf03wRbj26q0;tZ z>p0-8LIj$&R-%Hn#PBV2F7n%dUkLtc43xKB$jAG`(Uepdr_|#(0HFMCq0?eIkXTM* zB)7s>Vl9dVTJ}z4s^7OfJE+|Da)XBHae#%)FLgR*wE>W&*CjC#67hZUgMQQ<-#g26 zQaGhUR+n!;emVmLDTvHW<%sCi@_(a1?GFUb{4Xlu&CeQ*F`Z33>EC5L1FlbfU-;qR z;R!}ScRFI7&^N*_f1{;;8ni*~RC-XnN|)U>BP-*?4`(YVli$br#TAN*iaH#Ep10x@ z_hvLdSHyq9r*XyAcfu&B;YD9WNL$3^W&b*P9f&5x+T?qTCED1^nUY#>b4pjx2z)(& zDi8z>Hy~ZNvu#m=Ve{p>ZPUOSLraAQXchkB&_>wA#PTmsr@kZW;lTEy{^Rz75vU?Y zforq6_65LVlyufYFTMy@9wun?LNcYc3P6`QqSuZbOcvM3GHLv^^S-*fWCsqjfBSsX zqWmv33jytxF#4G}$y3M6(^!E!eC;_|e|LAcB`{&{WE1YJAp$Ed_4VFFp5EF?>!pH8 z*9I_U6xuB}C+L#o6AX6;W;=%X!ysVFt-9`wcL~(g|1{zg;^drGhZAafw!fEy@S6}E zFElsF_~htE-WwWE%z{I{=>DP(yN81Vat|^&{pDpqUy0JMx)jTR92nQ?RIX)>>cYj; zt9MhMeEZDa#DUpbLn4i`><9o|bhuyKUaTj-OJT67SUa~>yrV%tXdTlnXn@)@xkXEg z1E7&qbq+R(rDQ)?#eKaZb#=dS{8uGL$YW|e(b`%}>7V*8-vxcLT`0%b6}Fshman&J zB%W`KzS-XTRX0z;@0?$z9RaqSW9GUwa{gro?7C;sWmy_eh@H4&%>!eqLw166_kCd` z+*q2GdixiyZ(>oR2EdW59|G2I->m0F3$YVcNWHASJdpxxEU~mnHymLWK0bcmSn7bl zeKa=#cs!=FkWQ-2P)I`ShvDr@hU*IXhhIZ)la)TgoLr6xb4&E25Q!97*cKLdEXysk z+&j9@TsQrjEQNwQ`(D~5q=mgCo=%#xKK7+6m!6tofLSTO_uwL~df#R&=t(r!i0i6v z39dva;Y`4zglHPL2RFN(DoAl}t3Duptm|q$`;2f?aDCKRH@7{PJoLV}=mqZu3@8Xa zdsPlP&8fsBBe@CeTH}-zF($?UQxGon%5dIXxwe>W5;GTJ`ka9$7)cg~tn14f3c>HQ zB>2ko(we76hpA9aqjuc%_t^s9@%i5cxQG4|n-s{{mLp;eVaH}Qa zhvvfDWB$c>SD6o{NyL=;z`r2ih1&~-u!8g@n^(%WAJ;!#(9=>!Phdo0NqoV!Qs*O9 zX4zk7z_l(cJaEAW-{j&qVo3U7>#o>cMlH%X_PDewFxm9&Wiu0#7A8O@{IkOONy6Tk z=TE`k3?(+2VO^)(p&huXRHK1hvH!P`xjXd}yN;`C>Z|AC;r!YNTDmcd$;z?^F&mXm zpt912Nt_AZE}7J<_ltt~jvZn@@t=*&7Rch7gs5D!MUr}7DSsrbDhZFP+m^4a>O_#{ zv0o9mM80!LbL(-gJ1MZRe96?Gwg;}-EVXg9|NL|NA5&U9gJ{a6D_8c}EfzX7%dT!= z$$1uQA|z7PQb0_%EAhoLj~zHD+ih3NSQF+pmSQlJ0s?xa@nn#bG$-5&_kF9uZ8pqy z2;}DEkU^6a>*4mu{J232B6Lg(Ny{93UJM^-@bjmgljONd!}j+G7LnMUIO%i;V8US| z0sEZ`*~AYyVOX@O^`ZQZ*P}OJS$u`2D6Viz)-2DHrXc%;{xr6tET3kpJ}W-VlrU}H z*4d_5)NRwL<8p0Rl(fp9W8}_?%yD3(tD*bIx|cI@zB2B#IABv1ggIyojt+cmtVd3@ zJBr3R4>NBv5;KRC7VZ z79hab&VTc>jg%5#qH^-{mjxSvfv%2uY-{E3(kNh$%tlP-fo1JTZZM)8QJ9z0mW!3P z{G($h|EPohjr;CPk09sj(HqAYgxli+u?MtdTiUMK7DvG8mmh&?3$ja)W&{Sk={kir zal_3AdzH!P&#GI19Q^iexHPAtNGH^Nv2xzT>1?@lny*%D1n0$-#fz0;e`5H)uZ#ii$1E73%2S-P%qxtH>KVoQt zrV7)E>LlKe{ld>i3LUvbIQN>Lz3WS2K^8P=8lI^hdLD2Rdfvbl=7nU$-N?FG7wi%I6U1^`?L ztHOvN^N#fxeZJYBh-4mI7VR<_%NA->h&8_E8(nQrke43K1yI#Z6wS>J@D-2sa+_vb zpMifYi~BnA|xsGKy^C!OjDPV2$GUAOo5W_G$Y=mQeEWbUik`orMtmS zzFWsptkvpaVtm0{H@_W@0n0TLZ=Bz-#@S|mblO#Lx*iC${G#!kOa~ zi9M*J><(y`ZHtZe-1%B%8WmKFCLan91pgXEMMoDgMq3wjy{DE_>DGahli&D4JgfjA z=jUJ4IuJ4FIJC>({n;K1X)OMQPuVik9G{s{6=r^3|A99cJ`^BKiV+F0R%)5OjT73< zR{aCz8VcCX`-GNxR^l_nMhLibMQtbG+Lz!R^j7Pk%3!NBDm7pQei+BHRJW>~WUyt* zX4aN3@tdT<)=tsU-j2@u?8t2z1Wd>MQ`u$TP`>E~-}k|0noy|}B6N=|YdTr)D?Vwb zd3lMm@JS2*+jr>J zygJGNxBo8spXJy;7e}kp6s+Iwm)(WAEYkKe188$mE{J@-ECmBFYib~7%nPa4nZGtC zLN$Fs&BxbsPzn451fK_XgIS~&%15GF`z_eqa)oPfz%;VMqS#Cd@7fG2R$k|>rA){E za&mX9aN4~(zAgQ!5rro#Kr+gN)OXW8bZed{XC)wyv=VU|3br*vax)vU(Hk-1^#T;a zLYl;|tU#}OywEF=OnrbAy81&I?IunWIdYcs4v~L&wGHVEEwUb|k6^b&nY6ti%Y6r* zqoaQv-L|v+ypPaa&!JHWeRWDcmAh!iw<*?+7mW8r-`CdA$o*6nVdiovI{50k2gLJ` zt~5YLZpuVT1xc`kG#etta zTTdWP5BcPMJ`--7toPPh|JlDB^4Gb2ijf-Pwc9wEnfV4b++_!^!w@zJmcpog(>9J+L)Q^9&M@n3FdVa24wo?s?|E$?Zs!&yi0Ma%?~9Menm>Y^ zJGu@qs57b#$vyUn#-VI!O2Bx*kEC)%{ALL(x?lBqU=n<~n%ZHz=QjO=-YD_(^hCdT zI7a8*_nzR(s&L6AJ>^p3l-$3zV9gIrxZ<7Bp!n1kW80PY;aH!W7$^=+^aq2b#nBC= zgPwB{yz60>wL?5px$+2LWFSwk!Rs2I+Us73RG}%bIo&bG)W+*Q6j1nAKFDO=U}5JM zoQcMN^@=R=6FumVf023*^;xoW(Y-E4`_7;oBU=>yWhnVpEDmoB1Ksr)GLygjbh#NV zJPELe%H2*aEexZNqxZ&g);-3%<^UfRJP z`Z{o$Nie4w`k(ENJazh`vB-g~RUpy^MeL=pH-FL35X3g%v)sJ5n*3a!E&|(1J|K{A z9v?mSRfsVH@$za|wH+mi+wABf_1_ByL^F^ABjI4blUG1gBHw?$kwv*9{#zPdlFNivUnOqv0N(<_sik47|d1oDW6WT!qC^hR(RD zu3tS(fQSu59#g%isq-*774m-HQTH#TsXx%NthBZ9yh0%t{29llzU}HgzbxoqEvp87%x)xh#6!wb04Y~;QfNa;qi7vO$zUZ?%y%e>gTuSk<_6o@W?3}saW7qn<|SL+sLA9I>_P~+D1)`0$eE0xW2pwnA$o~fDD7U!-T z#TwP0rMAU1_LGBzq+JxN9r=`tmAtWkVrhUY|0ELDP;)*}bdBdf&C5Y|GNMVh2l&;U zdyc2)e@YaL`@s|76q3zRy(8v}w`<;~2@odaCld0SPmYBZwLn0(i=&axg@S>fU$C2^ zL%1|Kdoql3vwO?WUcD#09j_|Ke9!82_eC;nV{vQCwE1o$Vp+)1Jp3heB+FMk%%E+s4V0o+pW+?aNd3VqUPOhP}b0*eMd%R(@v_xP+lj1 z(2evlfOvfG)cd z&Rj|E)K1gIvy)6Nyo!TsP)g5>z4#P(zu|qiHz7!uFIk%VmB}nGtUfsYEO~r?mP#?x z`Xoa=+bSV5^dCv*jR*j&-dfhO&WQek=U?9gpq_Q7xmvD$s#JyNC$+zaYji~Bny;Ji zh&!8-hTj6-o!)$Z(JeGIbg_x#DQ*c5lCGAPrBoAyvk8)xC{yFK*|Sd z#aC5ZYyZFT*_yz=V%1yvoU~mYV{S=AkeMFTs6KUiRrmy9IGwodK|mWPn0>QU?}FXC zbW2x%TK4QQ_#i*!n_+_3c(mQ28k!vU-9`7$9@0^}{8M8>Xoe8L>*GV+naV0Ea+`07 ziHXT#=w-H}{9XZYTlv3VZf?~Vs%++%2mkzGO$ECN%grTWe_>_i;+nZ?vbMVrSpyHLcCM;0ygNe`MZrwLSD##g`G);HSUVa8bz-d%REa(r*2QG_x< z8SH+ceGJ%8LKxJ%iU}#Y;ra|fcEDNldor$x5zZBPO{8FhMa9|T7`S0D1ELJQ?V2J2 zK1B)MD5EEn(-XPZY{g9(R_PF>RP@;4cDR`;M`~C)Ws$vZVBN@_7X;>&O<93H` zv7W-kT+5{3f1k~NknC(}=`W}6l!nLA@Hr>lhkSPV=@!1jN!O|nUFfvcC2=5kaH8pK zwJ%85&#b+6#b3oAO<`<=qmWv&pm3t*n7%F)Ez{-9BCgyhN3OYAk-HuG&LEIt4b?wA zohTrBB!N*g(d`|@L3KX~qgg60LU9hpyF+XjKl4+{Xn~JCAt<%AvIQB7RXm1*4qH+I z>Jfl+qFv41qVN9t5UKK`ZJ9J(Ac(~0&d7SMa?1nmnfshrx6zJiVj8%ZLH=)zmw#e$ zHupa~kq+970zkY|&h~olzjf}g2WZPrUj6!m4@Pt;TsC)T|uopE|=F5f6Z z!;#>0Nixx_kC~6}H5FJFK!fi!(P)(AOV*lQ0$-t@JaRmqGoQ~rd}9D~miM^07Jg9L zaNq`jjvIhelXx;`HfT*g`L&7Kd{i^^&VR@HkG%2zWP#HnxG{y6?4}RU!?~B^KLAi% zn!qo5_v;x={Z#Am7852(5zdH z0RwW<_~eWpaa|SyQVh|+kAdFDstRttji->2R6DCWcCHMK{Hg)fKAat@P$&OF!Uty) zthlrD!klM{GlIN_*qj32|4xF03=SC{&d39gXIjOjf2QKBkOB+M@Ax7zFw%bw<7d!Urc42kH>% zMvakF^+KzP%{;`dogIQmR;L$$&@GtAlT5n9M7L5cQs6R$0D!Y~W*Z;{xEkd@#glIY z^i)lp{by%ww<~##t3Hb{E(*1=)C4X|dT#5%eYeyH@!MJ8g&H%b!-~dKcCsBqYZYj( z27vnU%{@A@P35%0%#nw+TBlCHS9KXynS!z z-@NlBv~%aDP{D7-7g^=GWtnB>U(@;+BbS&^F^M(?9^t54yZ9BLmnu7h*=b`CG;2pX zAD~|!0c;zv0rU!%jm`pA#rkspXG|b~71C=+7kVpuM_@4o34IkJb1WfW24=|v0JAgZeg}u_6KRfVB7&wY0v=h<5|2DWiTkjbd8yhq6 z{L=7t3R=+Pii`(R5f+o4E{AlaMcB}5B-~mEO=B%BEgckQ?BmnUt3Okr%Wb_3X-lb! zJZ)E4EPNJWyA{awiMBqFoN#${yr>`^h3iU|WqGDUf+Uq!`A-XIo=?1SI=}wSm53PT zH*BY-qx-Y@u;%3jh=;itBFH^`U!GhYYi8Xk=1lq-{=TUpS%rP)aeE@4lasSk*H*Nn zVll>Q&f|H;L#W*Qb#{vXK-Nd}!bK*7JMQ}n=msmGM|Av)YQ@m~1#b4Lb{cwTI;rD} zc{!YFViU`7-0n!4%+NfLR=4JHYq$N_62RsQM7|A@AYPWm)nAv zv;j?bY*^z{C@TI(EK}WgHq9ueaT)UJflIqSn)ZC};=)-g+ybfcB z^$!31pwus>>?7!F^ifq6q(Q{pPb^<10*#!1YQlC42 zKzjBv4iG$6UcCwGcxGhw$|UXctf!K`7`eH*mXCMm1)LkkCMNqip(N~P&j723iVDva?+HK_{-_8khsKvs$99;N-7>trxqY-EOCAG#1ol>mY7aw4uO`@EqyP+XQ0ORUYkyjpGinS*rI7oBE9 z!-&&odk3`m*I4_3j-d#^iM6%S1@3`gj)xRg`(lG_L3dvd&^h+zIpo!m{WEMdfymPo zTNMYIF@3&jmM+Ker$+U!B&sE&mej8j7_wC8J1r)BS$asjNmH!yW-tZ4wxdUQq_&hN*(5%0?0%(K~nXK!cWsN zR)2!5WcImF)-O>^K8bOizUBEZwNi=twGU!?=`74)&`B*Qd_9#bY_lqv-o5dpGZdM@ zZ39ifdkyNy&B5iO&^9x-U8!(r_vE7#wXl}_reRT-p>U(XvG0o_IbJvn5TgNU-YcAkW1Hz4VaRUsrEBP z^0zKA-^j3*gO3t?s}|OLm3NIOi&yp0elg~{Cy0=lbm@WU@nv6!anvUSmGNT00V5F8 zp5PX&@fw?lhBz-yxYIQ*XE|4?Uoz>OU|Bl{b!X`+t_#8vQ|ue%()l=U{r1N2IQP9} zsxl2UVG4S<*$a4zn+C7Lc=yH#j6<``*XZ;!__Mjm{Wuf!AqRWP7g@6nra+Ct{7DSp z_OP>;g%;Gi;_zed{6=&cvW(0aXz4fAxzn&EIJRRKN5>0FAN-E@FVVu0jU~J_j+Tp5 zF!Slck)<%Dq{!>k$m-tY$UN_+@f>cMb1%p*+m1f^v~alIKbS8ry&{nQfWJ@!9!vkZystW}5-0=`70?L@(QV)B1(Zz~cLVRhEaaPA2Il?A$*|p9% zMIq@|iB=v_NHj73CyOj^;3^aQ8)VV8{CzTITzveJKiuW~T}HJq(}oSk(#AZ)tD+mC z4r2!*=t6*^NQOU{OFjy?=|lt_9ac|L92i0F6??sEOvLoJJ z(7WHfv+ka>dpb?|RM9f1AQu^V7vM*xbc;x|qMa?(fYr)h|FVVfr_A#wGQSZuBxYg4 zP7U~FVZoa5y;^u^ciasmfk z2oW1|<@XD27L&gmI+PYeIbg^PFeCm7@_W5WP0hjReC9ylhh<>=@2!EjAt}FkN{CX*&WwnV#*Cl}pXr2$kz^B97_cnHwv)gZCdvhm{h zs3ODuN8O*^PII`P=p`VeMduV&v)}fU`WDL%ysAfQur-x^(9H`yB+)H&R0y`^MsVCf zpWU|;O8G3g0}?5DhUaonFL}yH`ad-RqqAPGSUuIz?=UP_*w^o^m<0M`ojRH@{jwj% z{PVJ=OlrkLko0?>sa34fgUr|jOEK@L?=yU2bzLh^PC*a%_lec+YsFc2d%+cm!otD@ zl@s_gKeVWpt4%^7Pq2homA}4j_LU6mPM4@A*g4jgujB;t$jKcqRQ@qI6P8K26$l0r zIIo-Yo!BjB$&LOUoC9S4^5~TUxo3$b4{m2dPoIJj2qh%@V*6D}yEBrOM1T5jA|zN# zpo1J`VswCb9}W&qCLFItV+74svXt^XN(6uU^iPO+N)#c&e9prN_bMG>I-ngf!^h?* zG;%|Cn7y2vA)0Sa;no_?PbB77o)%OskqEtrCFT2hS4sIs+B*i^g!Fb#(Wen1il|~* z+T(Wr(8EmSBXFo0Bsyj4aynmKB$Sd-A5>?xbHRX!K;|RfrJKdH8!@j#kP`gg^*X0d z5~Y;YZmj@1Zl*b%0vb&J_Vo;y!srsZ3JKUH#TShXri0aVnafBsg&cUU_a_&Mr2}Rp z-rRM&=z87L$e5@YYGoO`@5kINaz-n)n^9Q_cms<2*v<3<+`QhHV;DNfM#k!w3;k&M zrtIX9)>?q6xass&^HGXOdvyjJ1Lnq++}%dE(F(2Vj~U+@;>_($;QoLFeAihuQBhGf zj3j->Vb6Ec>`PGyihr^r#JbJaI-&FJMGT?QMXR&zu(DB8#Xl~+V_5kiseG$YbkoK#D{GgSP(?-td~&Yf&XXALl%64z>oYEoHP1AwO%qv_PHOi!y7jKYEV>wEZN$JCGV>zRX$ z{ofzh8sgF>sS|XGCJa+2=^59?nNUL<930}oT=Vhcs9?ie=INKrji3Wc+sAo8>{uga zQBPhCm_6#TaNlC=CDo5L%irm?KYyQG^+>okaAmx1JyYS3?&b>W%tRT;KW?l)*vdO< zgp2x?r(xVt5rUp*4ePH0dzHI$cfOh6O*&k1PV@+@qto35eFIdGat0UCMDMdM1ev!% z8a)vXT2gHQeSO3{-Hl3!=k_jWiG#o~Vvd?NE)_0j1*pduG_ z3;6lh-6-e%P>`;DmIBvOtQrFB^OpV1Zz7td`9fXHMJL(i>bPtf%=|PJ79hFrm;Loo z$J@#Jh&P#^lT~kz7N%&f%^DC@@c=hUTloEYDCsm2o+&O-X3_fkI)m*qx$t0@3-!(p zHm_8V5ix>|@aVi#pdgnQclHvXP*JTs_*anuAn zO&B1Ss7vUQ;UI3syJA8ZdDGuexUQA;woRB%-hg zi1E*s=O)vm{TLJ3#d#y2i}E&8DT$Dj^k*})dUGMUgQR#`i4Q#7`C}iynDAJ&HWaJ@ zK(48`DG|b`ppg!JaT8wC{)xnm4Hzu?>;8WD4`Msa6}m3`MN^&Qwo-LTrV%L>5rw% zHtJ~RLQ`y^r^_vkBg{3-CYWHdg;#T$N1g;3%X402em+%(zOdavIGMKB*th5ZOC$F*7knPy;^45K;l?RX9h#cbdr{wGLU+SePDGcg61Y7 zTRDe(I>&iC?OW-J^(M3X_gxFJMUiHIFWFV~;%QgZcgXpciB1tl7ZvuJY{`z@WBBM9V#CO%Ozq=_eaETTUVucQkov*vpw;6aKJe`u zVgX8zvJl5JFbAs2kX7DgOnBAyw zQp0elN#@M)%tchRkcbq_g~q z#FvIeyW09LOr!=kkdJOa^ZGbWoP7hQhLJhrru7A9{0U5*C7~VYH)m-nuO-gOed# zV@lZ(*E_=u-H%2>w{UZuL@m7PnMSZ1R+~w;@b{q<0#>ueg(X0OE_aa=d~x$v$zUsc zQ!A*c{jnEW04b)0ACK|I?*Q->b|wnew268OIk~bWWSjlfwt{2*yflE7vaJl!H7!1C9!mfZg|iO5gm-$PDZu^AxW8x zyzY;uaO0_fY<(i68PLJ;F2aV)a6wXQCF`n@-z4B#X@m}7ohGX9xAMzSr@d_}|CB9< z;l-Nvww&*L_2s#-6oz!mgH5AoT}u&lp)xhfWuPAx>uq!L_9*DzqPH6%KJHuTJ~qATI`pFU$OCX1|JrZs;jLNr0Ib+ zp@g_+QA`7=LM+4OJ3pEo(|7!;fdx)3I@~R43)X1WbZR!Jnpwp!PMi6g*o3^p5477W zPna~y^3e}H473#k+fnDlfkHXn8o(Xn`s5I$wZGVmvY*C0Yqye^D%%`~oIg>de>CKd ztIH~vWoUAE?x+6x{h@Y9Bfe@YLDh^}^%{fc4`HT;IhfwveVc`v+vhQuV!4lP|7NfI zE|w*BHpvwGxecoHzCs#BUG&W%gIndg_CV<@SiM}Qe(>g9U#(_KD5=jpPKVtxAF+M_ zSIjHO*T6aJWh7gR>jwA>)eIar)7!kvi9qA~7JRc2SDtTHk?wV2cA=p$Q1|EGMDf@L z^j+%k+b)ftGUoHPEPPDD{rp-TphU9;pmX_ZFvEnUZ-`)T00;AZQ*ANVA}vzKw!+21 zN|}bjs2VZSHT{<=o1Tbd5O%Cm-h2aCx27~I$U14gCzO%PFiQNk-XjpuXiwmN_R3Mi z6A^@(?iAtjn>h~!bqS@H@TnXE?n{>Wooc@MkiZdy;tzogoSJ$VguI~y_?b?n#;s>I zsABj@X{)?Fj6=-(|CL-q|L=bRTYi>zu^JLWG|8@tcj1AQz{Aty zqni8k7aF|xp;HW0$0bp}YcU&~h)NRub(kwcY}dPk2Tv9NExCGI>)XU;C;GAg#IfZx z`*!UDo0%W2SegsZKp*HQ@suk_@pYTsOhH4q=FyQTNa;67E{Y#K32bcSKJOREAuetS z${?F}+goa?Z8J98FvMlCn)NNd^b>vWJ;u3#^&yTKp+4}mBAD|?aG(-OKPnM%HP}W-y05f!y;S`qjhjl=x^6AHqAF~vL&m5Vn zRkiR5F;PT2cS_M=t%^c_srGM`jf`@@m8W|G!+hLZr`f(NGTF)5Z#;Nhf>Nl~b;QZy z)bVLdZF428@TY66R0(h=k~Zc;bVVL+>gP+6!+o(~&rAz#a8XM z;LqE#!OhO6^Iab(*7-!<9FVd3_SK@;jc1Dv&NakUTsqCJWZTjmJ|>&Eo~~qQ#r>#2 zE&eXfD;dT88)F6S3!v$C_IQqbY%LixkHhbOm6>(nTqZKG1~&BZ zsHQii!ci6CX|q$2k7R!g%lZ#|{%+%%y+t_Jdhh*k+&Du~LaFjDqPBH$_EVkzu$X}b z5ssX8?{^Mub&?f#S=Xhn2EGZdg+ z?~F~l=4Q}+15-B7H1`w;TrM?&EA>XX9~0yEWH&>Wpvt?kH9*B&>Lg#+rPSOol!wW1 z_Wat7 zt}#YBd#l!()!7o#MSGJ)u&8a%@q66UK%JvpH73Mgg3veLKu!dgj$lIfzVG-4+CYkj z9AUmoX*=NMV9)6(zeYnbAO@hBPl1Vg6TzY-@71$U!iK#z@=*QVp zOF+0*7dRqUZnoxbz5FetN$6;~Ha~5&(#tlakLKHyLfQO^ql`>A1i*qb6HCeiU_g`~ z=f}TC5<`N6gXy8a0N6L*;7(5_yY0mO$T%O=DYfkeA}Z>v^2YxT7tHJ7g35dk=0P-V zeW3wAU%?CRXXmbVRZLy!vi^6RvogQ^>1c1tQX-udQ z(u5!U*mpXlF&bCom-{k5OWR4~{Hw{|^jdVi{gSKgePR)sSoyPtvIT05( zL>Ja20-pN`y+-~4V99YM1bE1Cf^d9WM(plzeqn2E!^>8Q%)yd@P*@o;tipTJd)a0t zf33)T$hY@A6j9CZm=jt{GBgS_L^~bPzlhfvwWEZw3v80}zTzG8ATrA^kZnMxIU>)~ za05kN7)UU>{~-u`QY?@Ay83bPS0jI(Nu+@cNBYEMS^|7v6FVOTU;waM8}BcSme`)3 z*V27II^Z;K3RSd8zWqItI%;WWxwW{>6yF&<7ex|IT!{!T=}z6ggTd1`$%(X&|30fd zOa<9xys6D|vN%S_Nkg%JHJEGlZHY2v)q_$s#nSBd&cwm-g4&<{l?vVJeBEsMNv79)Wz$x)uldqQz0?{h&GE>_HWp|lA_GqAC!`bha`)ZN(`1~fPztSF+0d;!2^voXl4yt}yL`Rtjm+aIlwn>LymGTbGAv%{$_W!z7<=s`z0 zQCI*|C&Ow(TlMhXI&?i7ghzU6nANK5Lxs5^wl#|*VRB0 zpGsiE1uz`ylb%XBFxNjuo58C-5`?R6KR*6!|KXwU5M0|!^%;diDLqZBX=sz4)`$Gb zJwF-xQ@W&okI4W(XF0s?k5X8uF|kgJi4YF1taZRWUM-DllZ#^Q`kHJ2hs>#TcXt;L zBh^7mrVb^K;W3pt8)d|lt&VAvJ2IW<}a?hXOJSb zM)7~bw~D{Nk0^acY#7=hR(W{)2^#~v_f1_Av>}%(f2!7tz$;WJkC4Wr#1gVxJ>HAL zk5X6)xVCh_EPMCBPxuCjaZ%^5r{cMM9q$7WW_4lFdr@jp2~^UvyLp5Gcx)@Og>sib z1_pZ;CeL%%_=^i$oas|iVl>hQAU(kN@>?F9Ax8(kkk1}j zMV4S3D)!bZwmQ(F_?bhy+xc5(X8g5GHxqC<;LZv$9gm&BqJ2cctiJbQ74Bp_+4vXq z;%}Bc+J<&fP1XCH6Yxlg0*dP=?GJWoZJ>;~c$Id*8!*G6Q5MvAyW)q!)h4Zo1uh(P zoBtd*C_S}*`+nnWM5C&QXprL`S)-=D4UDqA64H|(;bin z-*X2vpTUcNy$*bHw9{*0I=)dScd>rRO3p4<5_dFR==|g)rK67MhbTWfl;>P->>%%g zdd%+?#CM*4R(B%$ends7%8~9i@*U3qz3HNz-sr%)?p+ytl^=r9*{u&bWKr(=DXhE& zj-xl!vPEe$>}UoafBa;NvNHME z%9kFLI-e(x00X<ej@BnYUM$+~vG^MBo9t?;#jCmtRt-196__S6Ra<)8sd0032>h`E^+fZSgf%{08# zz@G>?5xKxiBdp^H1F25FnM6htyo!+z9s=|h#Vb&Bp(r>?EJ&en5Ww`JieXIlr;bVS zvMI_d)v~9X@u7XjWMx^xcDP1P+tR2moXu6t?k5@ou`Kg|g2p;R1+TR2jp$ z1~wtMRP_15T#TXZZi>Ze6F+eO0&0R!=h5S%p~NgsxZ+Uus+RY9XXhILAj|c+o+h@M z6(Nh>bv$&qpbJAfC##eN|4B$`ZIjs7VbOpfP8MyjArV}&T^Hf>?Agj*GnX=^Zl$>cKvD6B_QQ(tY zn^eD7LHt4kJmCsdJR@7FZ{gu8V;2AxEJ()doz^n4EAJ#C0VT!7 z#ep5&;@QGL=+;%ZNhv8|RP}6VgqtE8Ru+m7`6Bfl%}`7JPVYdqMLVH6tGp1^F@=Oh zywY;vSOY=W@F*hn1F8=B1u6Fr%3KU}+`YjelW!6;F?UH2O>0MfizhnBnp$zk*oC_F zU>y->PEaQ2YE7cd4eHw3H}&_%8vG+n$PhUhV1q1e)RJ1x(?3Y1qWr8f)x07@?)a-< zJ&|)F1i6axl>|*)sr!*Tevs-G&6ShIUc-w>d38N^wfjH+`6Pg2$7&=jiwY(;O^_9Z{~Y|hlpu+1NqDW zbJ+{}TOs&VI;=~Hfo)}or;gJklf1cfr7`KO8|E9K8r&0B$r;W{Swf12xm zWXpT-ag@ol#S!SJB_D zVSPgHZDhj}!<4{0@7BjWY;3Z{BnL-F<&&QS0&Q%bd${h4oUh){vMx`As68x=dH8Qj zl7th^o^K~79QPG0S|;eUedhJ`U}b*~>{)&6IyRJTc)?0A@X)BixP zJ$usth1A^V_E&bJyzANi?8 z<7RVPI3XrhUXic1$bN=L32|h~(LiYPxFpEPzglJAf^;W`*@sqg9>$Gy79B7k^nmYt zwPDe(H@}5+HtSFhUxSY)e;CE)f7W@-%zt|S(X+3n$$Ja0+r66R??*;{j}fWBzqkEj zlyI!Y)qWFL9%1}aZk8t9nM^ZbEDWM9Wi85^QRfVM|JW#gE%XX6(p5Q!k^9H3_HrB@ zk#o3iybWsvewHvATfwYX5NgcvW%mq-?-}nmCHIe)AyH5vn&eDepdc7BsMQI_Pm3K1 z)$bjwD^n0?ln#sAO-XDhabUz`DrEA-r}Ep%0P}-Fc?)jns-0Qhk7POy-!p=`K-dqL zh(D^gyH~*%$!^nyr~UIkH6ItF13D+8%FI=;N94T`#gLnc;G~$gcodVP_z4=Wy8QK( zig?CUo+ybO1Ao45^gL8&vjPhvrNyPzrvG)4%U~hA$=w-T`Z>xY{_tB6@)n^zbfTPP zq@J>NqQuw#OPPKxx(m-`rE~4stni0GnR`VhmH79D2*S-?LK+XHCVI@Z{RN*R1(_nyJt{1uQ^&g9H*ON$QJ#%s@+ba&$THGnEQd8gar zZck--l5mB1SG9}?IxZ++zkuEDHq*zr+Umjim|l-Q_o)2WlWy|!KVOS^JjCB2)7n1I z4@i|YVM9Jtk{ijl*BmeU$nr!sBv^w>u|fJ2UVhe--$VKG)_AV`8P`TnK9Y`0;9|X> z7}sp$RSazGc0sR@+!fGZ{u71m_w~z>NTc^-q)nQ_k~h;rb=o+a zOtw(gc7wlz*#)fk0Zo2qEEKc|3N~3hdk(&kPHoKWot@a=J!hAZ9e(()r@G;a*CMaz z>rL3W`@iRZ1D6xFYb#Qc6Mbf0Xs&@hb=--(Rbj+9saRvw@G42=dA|)2)0J0>!-3gP zZnao@wo!u-eX&Zi@ zDF2^O5lINfC(0G+ldqaQ!$azvOayDtyldAb)eJK%_n+2~c_$H##_%}Hk?eS=Z-oTX z#+Hh{1}8Z~)h+a?iVFXE#v&eXC8rHqLcJ{AY`F$z)+P`HJ36_y z(sR6^H_n~vt?Htai@$z8si`{F7yE8VTS&3)%Z|6BBk$SSnee*{;;-Zb^b+ZOB}@c0 zS{z$U-NQAd#{yvXl0!52+J+sM`*;HOJjdq`Dfa){w(%M1Um4;DaA;4_VH8((yg~w7 zE+fdNG)J~%UyCqu&ro6rk>TBG*?3`@0Ve}iAn%9N)Ma^4@vSOgSG~yt zp$hqLIpt{c)O3ZBBFHbYTjp&uBjqlE#Y~Gz)ODwB>W-%k{W`|!xzH-QHZ~v<0fb%; zKxt-hF#hi(e*FrpO7h$BTRS1QpiTKz+{rtuJm$IEDkrGy!y*|%A@@UemTE1ke2v^f zC2*nmU&>-#P9ng}jYylk>5)*FfaZP^OZpu1)*U-uR>g6?eUBh8H!XkIfCBwF)CBxdN z9U4eb&xepHuR9uM<@7Oa_7dL;Ek^?;`9;1!I(wuK3ueLoSF71;V6DnoPJ;<-7dEd+ z=8_DF6?sAU^y%ZV_~M^z&-sO%c0 zh@9DH>uq)S_x5rC;zxdS2VJs%zVnUL(SW8Q10w5>w~A-LQE1TN)5cBX?|X%M;|#i@ ziiKjJnxB<&K$-|Ni0kZzLgM1$CV8)yybhGZ!oq53L~%Qh=RsiO70_f0fFMM4j`5R+ ziz{MSX!U-u6lm3?CQbgo1L8ItdYHzEVGh4wRQuGJq@g!ZtZY(MvpfYUx{P8t*={@h zu8moxDW0ModN(qYKEI^&hrACUw-{sg2M$_)bbLBj%~bHQB!C5B^IvKXpPz~iT>hoe zp%YFC=v9KAvQ2&*&K8o0-cMpv8~(Yw;kGBmiZtnfJ%nS2LtnA?6{8R1QtV$f26c~c z28-bb7KdsJ*qgHk5dFq5Q}4BV@^`wp#l_+=<{Jt_uevyRxDw_Yp!!*hafnjC&OM16 zt$agbX!9Oi8QBz`P3CN3Qfwd}V`tiKRH9bv`H(jhu`y9NVQAkbUDa3(dIakg-TDMM_%#>GYNiSZ0yE*Z_k#%%*EQ!p`W%K|6P3x%=?SbieP~uSxQW=~> zW6S6qg>APntz7d^hG?>gb4+CD@!wdXe+P8B6j%b5YH`o)LOWNCM6FkCpNw8d@Q1ao z8gF{c>)Xw#ZfFgGN4*b4+#ylDQz)h)9;i||H&6fpKmL~j6S!X#Q0wADh}<4L-etc^ zo4qIu0|`sk#J^EXMV_BEsBSv3ydaUas0+yFgn4_j@fLl3oHZi%_nEuqCUY$jYD%_^63e zl?(dFDQXN^)pRv;q)3vpqJ@0JeI1hdTzyT-PIE&g!bwFe4Y}lDff*B;NpqHY$s(z^ z?@(Znkck?g0D%5BF?ce>-uCK=VKeFrQ#%Z z1QnT(E{E@*cuS(+;ST!$JI4e3CeS7&eyzB%MM62>b@=@L@7~FiX2at3;N)h*lYEK# zf2Od6)5DHpr$foGW>=96#vX(%j&-pPp;aT$yK2+q5&Bx`S&Cx>;tES`FR6C={ku{cuDo24 zl*SP4SW;%D3h?idhK-^p%t@J&JF5i5wm=CiP<+y+HK#FALd7ukfxq-l>}PGo06pZ$ zc$-1V1LF6wvA+c{7C?`4*vA&oF_@SkXq$0PVZ+0qpWHhhx}M=m8yu1>(7lI_i22@J zyh*$QF8@N%sE*40pQzL52M8G+KNkJPd;aM`!CXU-?ZRGt7XK!fcKywk5>fwZ571=3`I{%%Ak%83 zhzc_prJKJ*KG6*}x;W?~8h8hfJA-yB&)JIxZZ|}JWLf6>prxlmj6O~G7^>L012c`l zRaV}cx0)^fX7}9lyO-hEGyFoKuP;BCYN8n5w;?+Eex7=ccY=*Pfyj`IJEyd4R85ef zc)3~Eb^~lq%i)J#bI+YbF~KA-&&bN2)J<4MTXjo&0ZDTsQP)^~#t8^{{2&9KmQnA1 zur>zz`mFlnSQNyVpP?HX2cj}KO)lFG#}y9&cgHFJEXcn7%)+3-jz*aATc+2({5g;r zp^$kK)OMU18sctp@!D{Ol)~NI9W-CX0D*vAW zUWhD;k?}CRKc`=EH7;OEjiFbF58g%vCjpYmjJLGmXux9VvRkmh6r#C|1;s02b+qn- zm(Mq6;56Jn=e2z-eSXFXFpnK~nt*LzA&d77p8r*AiiMF1EzA1)M5R}`EA8`FuoOM9 zdPDlsBy-Yuu5Gd{nd1&%hSMR9L)Shlr}j!2VK$8A_oH>5#X|d$3In&axL2k zx)+$7G$5*yiT6S7KmlL*eUa&dbEBMnIxQ^8nF9 zH%!6!|7NBRa3m^!coF#G$LzIt!hp*hZv3=H2NFo!4BeDkHwCo=nKI40fEy`5akjQL zDCG}%NKE`zXIFz_orI1~HRg5NbNBbc;}1$$M#NhVTZ*4~+Vco-rGUjKNoZvbw&LkN z9=Degi{A;BKbJ+XYyQ!m(X3QdgufL$bc(yy#rMziJYg?JkbDc7)j{&xP)(NGkp43g zp%1>Ko(Yd6w;kR+a9zMvIjxiNd&UCntq~fXfp&>*GJR9?#n*4#;QFi9;K|TvJi!|K@4> zMNEn~Nd`GU!3Bpv1&=>DA%6n!c-Z6dnW=xSv|pdw;@-cHcEdBkkQ09t9A^}thi+Qt=@5}o9@1Kfuz z2qCdRulc$HH0ndxv%_tesJKh+mbrc`R{UQVKpNQx{D%Av=0zR84Ma4~BrBv@y`7oRyV{o#(3FZ`3_h!6 z2hdx`a(%S;i$6ane~_*;;c&@9&0XB^M0OB;Zm8P;0h z1818HXxCvQ^tPR;&{kJd76wtB&GCZpVaE3VLw(_B)W>KN*S151);b_HMu>nc-~2u# zYw6wO=H1}BKNZ+pr`whasYjT1qbLVgSM6N4KOZWB{oIDgf3Y9Mem2KeY-avYu~tk@ z*$`3kZ90GRT!ucRAVsi>->FiuB73ydzHE0#?g9YF_CqZMV8Y%fclsC_zU#mbGNkfV zx71RMQLGQ}Lo&t~RK;6dS1A>fripZ0}*Glzda;sz#Ha0x=;74~!m zD$iI)J2n#)`my{akK3=58h>-N*p)U|PUM*N7UL-*GRE4dq-#CoBm5tf+v*Gu#TkM+ zP#Wb_{?N}V8JmP`n!&%&^5aH}AiN?Utt+S-og{wbYHzz~w09a}MlNZ-)7^+4&qJje}a$lC+5G~ z1Wf`7`G$<8pI)cMD}GaIKJ#$r-ROZV>eYiLZmsqPaSFf

  • tGLS2lL5znLg7iDHVM}t90yN%v{;{PsA0)*scQ4jWtWc3LF{78ize* z=9fA4Hhkl6Vph-qk7}l0u&Y+AzoqFwhbyP`9khd+CB0Q?Wwzw3fT4@47f`(ZXiJR^U1|$q zS=>)?8_cVRR_$L`O)7w0H!pA})h{Yy ztf#g$lw%$5Az(R?l^t@jvsPSWVmB`>WJCv8(Hg)HDQxP2 zp_~MAi!u47r^N7+JCm$WX9I^-R0^J9jxTv7BD^o|O7CIe-8ji=B^iy2-SY3Q0^Kdh zW9jAby{n5vkv+c^M<9Z=+OQG`842G7yI~dmU+cHe+S)f=o4xx|oK0^!wrTZi`g86v zI0Uc+6OZ#*$;%`$z8>D0%b1e?@UdK+pt)x_bKtX43kT6Ai_^XpO}xEqiZdQybpA+6 zgyEQ^*(o*G$Kf{&cX6Ek-|laNcCgso)^aVa;gN@U?@X~ERcIwtfP*KLzL?MvWsXZL zrlQN;PH#f)|8fq=ZVi%{OT&uX&4{hpemn8dhiD2+ir(zn*ZRPcPUF|M<}a}o;pC|e zKH;i&B&9K+9L(i72R;6WAJe4sJbpw40aw>SYMiNn3$cC-kYYL62R#};s)TGv=#P<< z$BBtcco?KiRj3~fsZHjOXe{@C=ghAB>fQYHRp0@p3-xn3KsFwVmBv5s)ELg|e(`XH zYzJBIc#GarAItwRqa`7MDu40Xu@fl?vXYMfralf))w* zyGwAgMaf))^_*BL-76{xtt);_!Jud7dq-%+<(9m%f`{8wUD%#bs`Rot>rti$1+-C^WH^ZDKK7+|wYUiSr{Z1VN z*pRJ&7M;r6g@U~SpEOr1ArSFmx-rcwa!*6xUwq9!L4QGn{<|82;|IVrh*F_?rTc*L z$I~okH&%?|yP_N*3`175tND1-2kN}gUIIzY_)?$5H?LbJ5^Z0NB#XQ*SlDbhPYy=IOrmt?9jZ6gI!?Uh~et zxNG@Y;`a7)*(L8699wIm#gUa+Je=+HY77{?$Ge&uu-@?FTIX(lo0)Ri;4>C=^mxIF zQ8iPSsV%dkpCzZRNt-)7c86*$RIai#va`Ak+Om39s2BM|d~-wtX1wUB-J(*QZOY)V zKU>`ardPS#io%R<$H8gtSLmfhg2mWu{*Db5G41LCKr$YYAM>Yk-4dxM^ zS|8}JtRQTVF07iDb3TS285dF^L@&PO@zjO0)iU_rD>obG7OwQWdam7^m9@JJrV1ae zIgf;JWd$^@_@}gXqPI5)JEd_pWA69VwascK{<3&t-RSZogF*83bq!ABJJG)5IZ#YV zcXpow%FWn|4pRKOuKF}R;++b-Y zc)>LA?J;Sb*pue;b7N1Z$f?Jq0$c#AE=ZjXCaWF)wBPvC-o~{ENyYf^O{2H(8Xxs4 zzX7}>H4Y4*WImj8ne$_B-iVms9D4HTIf;LuY;?7=AuG~hFh9a5nEzRwU}^mQ0?k0_ z$SO-?$C+VHdHKfQM3=uVF|>tJ<>#zek#8~XaD;g~{=e6*jFu0SbM^1R^>O%Ww8dQxWm)$Yg6&!yC0zWmmNm9P$)>5c?Dgmc%Iy zld~{{dB)ACe-FG#x(g{(i&qMe?3Vifxy|Cvs|WfZKG*n#2jde4FX`QfmFCY-Bm5@w ztCPYOYUTAzq%9H{(ka#ngU87CK6-LP28hquV`dyCR$TS?xGp!tiUeRU?zG0FpF%)H zlWD2M6v)13$PDrE*&$n^lb)_1Ow2?|@wsxUS8}*k$P~mx;fLQzl4{@M+@>W~Lj0~a zkiX{LNYbc!SuP<({0wW8CB-@Xki^iJ$Di}RL5~n~3p|W8BfSN|apt~JMcH1FrNg1B z`ZAT;o>dAJ5>pGkUhQ8f{@Qeb2(!km;G4Wit|2n#CCsqa-zs)>^40;sdCtRFWqVYK z=H(JMi+}_NudXvE2fLuF4EhRJ<&ebamC(JIS-s3atmtC6n|A5 z!@o`kpTV>4&mio4O`lvqgQvp-)P$$F=J2=yA48BV3oWhu(O-Qjagx==|7tz8iCxy+kDBekt_3T138xeDTf&EO122 ztQ)WuM@xbm|3Y_k{!J1U`O?-Yhk6TgB6+e6o4V`*ZkQNqERRMcX8(xfc?u#Hr$as* z5m8mpIy&0^Wsb@e%3)rJyN+`XJRc()O06D}C`!7Yeftt`#);@myqv&h8jX-)eZOrL)($UpDMJq|QTVnh+ue3{J-_w4S zT*-NOP^|a*s|jG_1l;)^jlmt6~VpU zd$la7IB2qFbE3cro))|Re@}__-&6AN7YMa*QSD7>XPrH^ll$yl++X*5;$(>NcbBoT zF`^OSqP0#f;yjuZ1@eja2B-}QBwOz)wZ4kA1G7OjkrjPEr>KlkU$XFxGMWN^cs`O= zG?PDAu8h5+^MEMSfy^IJGC5_@%XvOP7?!FwOXp@qgBLKc&w{+5ji$_hR88gkZd!%p zh1;MS(MtuSFkg6AwxxI&Yx$_GJn&8spQOW(P8&yCidgUxGkUWd9Unf0K1AA+$bUL- z;T*4_R};fr(mN9Mj{BrEA&XxKNPtq^l!Rj;%yHMP+@SAD26dnv83C1AWz1H27IYZ_ zCyExe7S6F@K<8o*8%dSW<|_nu$bNWO5x)IA4feS592}4E!guP09`3(H!H*{N==Whp zhs3(s_I&nG;0xAUm_2Sh^s;vS^72x8a&1fXs~`96;$#UO1Tn)PwdYxdw1tpM6%+s~lLLj}EpYYoRaR{3$MdTF zPMNuR!J>)fh~u^w3;CAg_^vNZW>VkicX9jg`x?kBF;p#+8QOG|FD_G!FBEr-lcR_B z2uYn4+SF?EMZ7^$Km$oOWUb~vSekTb`IFnP8NQ|FE*taP^Ja`Ig4}p;V``` z-GRZ{;sV!uz;X9r|Js&UDc*593UAIr`c+hhlnJuoP4&a?;gctnNp@9Cyca=9)*`R$EfSuhed^ui%-pL>N6WqwNe_)mdG!_ZIYZ;N$iNTFoIZsQb9(WTka&rlOV>wzUuT;E$Zp9)*BV=un%F;_t9 zz6!5$9fMauXtT0?hfE8}jM`Uj*Vr53?!lsr$^6t~c-piX&69TeAK3n@_rd_*d0zxk z7<0bJmoa}r_;NO?D$Y%+lZI$^50IEIa5fhi?K@^@TG+kczr+Nm!F|%II*r4?X!T^N z!WL740>zzxP9g+pdINuE4SDSqVzGtY;g{7u9i?K%g=~u=c>x_7{or7nN#C<#Rje0y z2jiSD3(-tQz#elj^hZAOU$~Nfn3XAor!ledC(C#I(_ghPd>kUG*OBgOjcz-^Az`E| zSUCS8lfe1JLwEdeWS-`7Qn`g@jzS zJ`SQe&e(~JQ8vghxtcuY$u8%;FQ0vp?dJ&yz{`k3Eel5qbmu1(1LP)bSjKpwwqtFN zf2MC2{<8JLHfiwKPfy_*J0?hiwiNH(rnlt6o}|ZE^DJR4DgWc{Q)We1?(0KFvw#SG zOY0WYsxMtFB-Qx{^SDekH{UWdTSfg&0`o5p=%{fzy&4gQwEiQdMi#Xlg76|71?^<%J^4ZChM+ zrmQz2!T*3B5z4_jGc51i^eR{jD0t94BS8q&p@P!SZYp{V&G8Ld*2mqwd-krzwdFvn zK&2*T`z_St1imR^@-+C3@8f#tE-c=yJD?OWo6{0n=0*|qw8_>=4=``zVN^{aoQ^mt zg|6f`nOi2g|Mcb1|DeV=7yJF%Zrw@PBh&tDpG3iTT>$r8Kr1=PZ{U^ECG7iz4qa{C z*>s(`ddP1R@mQM0o=GO#VcR|d?*b;l!?G*x&0*q3eIuiB;F9~Ggopr7_z25SlIV%u zh+a+l@k8>7L-p=r*}^FN?3r%`DjxZT7D71V>HIJDo3D(V}~e-k5^#9q`*t-=M!x!`&v(7!bD)lH)PpBd`e zR;C$?L}`BY_w=(Wb6n1+6_F^iS#bywLa}Xgl`mc(tY3Yre1Oq1eXSy|dXsiJOar=1 z8!JV$<@Ke&&X&EbSdm#)pUy;Fp6j7*A%WaeNni#BKA8;&>Wap)Mk-=~7^WSO+8N>KUY`@`Tju=} zin^nTfp7mbPpH6`qZCFK9{78Q5Y&qFE1g5$F_BgU5%(d4lI+4QNd10d`j^nh)cQ)W z{H{?JOmZ=7;|_U1D=H&iHhp{_fkQ!~#G^1 z%ermp+Om!dn2{bcg!!}3jC#y1B0E^fH+8`z6|0_-^uH74X~$AEAXReVQLS^){0LPY z1yaXVj8%JJ@VE%5%RD(~l^L3vIWypXYY)PO}n?EDy$lL{F%PV)^FUuyLo zsi^1;=Xvt}$>;0%!nozRmv8}~@bWNJU0qai9MzMv|0+Qh3zn9Wv0*m`_|+`;jKcuB zUQxlNCepR(;O6W}v|+9U-~1#IhVQ=X5xVXqA|n_mGF_FniG~$WV@>^U$7_(p#Mr}g zS^83k2F3-lf&xvaCCukM0aNnNHpqT$8{K4-2GVL-E)0Hh_3}sTB4tB`|2YH=lAJ}I zw;DBcJ(__s+hVsp*YiK*?f)SXAj>0%tMC1IUFQ_y(6GzB*(-#xfO)`>3$gFrvQ1{u zuaSin(2jDT*t*~dDkFfIx@$g#M3}E^;u|?;8MfpLR_kM>{kJ$NMV^J4nn~{+dNw@k zYFeZAg+;|PhII8Mn2iV>?%tMNC4B?3YmUy)gEMSUlj?9!?5nMJc9Y~!? zq6aAI_J7#ZXNT_lps68@AkNjQF)*E&8(T;woBgq-e8X=peL3aS2H=_FefX3=iN)@l zPny{zvov859j4DxO=RZB8~<%s@C41vVdoMO@X(HNMF!TlF2Bxs9nU8L(iX8k z8cV{~*U?6<2yS(!U|pc!p00Qo-g7HBJ@4OkMH>R1CEQDXC=|Er{1gPHerrj45chvJ zMa03D@_N*htJjkmkY&VnsSe%DL+2AmUCHw4p&x>17-Ek0JQL1VL?60eJOupKusQ_U zW<8X>t50JuHobT3421#n*sYTG7pC$kd;_}v8{L04_OR#oG#I|;|nBvJ0-_w3k0(UL249hy7i zZtptE#U#?`SI7VW6*wWjfDPxd3*Yshm;KT7TVnhfs~l}Om2_as-8tCk*yT6l);6J* z#P|8|sJCL%zp1~WocB<4{;Op&6y}C6=2;C!Ab&y*H@|E$zuYLxT-@w%(%$mVtA<84 z(CSX6!?_Hj;rgydOffZ~{T9=N zdcBxVm11oxkm`WTEDeeVH-FCarwOu@hp9ai272AoJ)o*Q3u5Q@P6GWSkh z5KhDHtPj-|G!kcbkk~F~vY}M<3O*2=v>o||Z`gP?qO^=d%%?v3GODYYhtH^2z=e*} zp5)*?2XBL9tbOmzbNL)2uZMGFBouwW(&*}c3Ecl5FS8Sl{&<~X-_aj$V|6T)(ynw7 zK_+&g)(Jb|tWhqFn{2mkQ0{|7W}i+;nOp<_)p6-HZri!cCcK{%aWPh=xts^SRLABr zm5JUp*`NpAg57<#JsW05A#G-S%3T3|kFoW7*#}Y`u~B9;)4iU8%%yc#R5M6$$)!Mr5fn{V|5C`(k7>njPQo@~DGPPr-duBxIbqZh0D2~GhRw`7Nq?#0dDTM+{{xPSO< zTdDCdSTQ`^(^*H{6(Y;o5f?N01+!nC?!{K2uqDqSq;dBG_r_f`nx&OF`kUl{IfDk#9!yCifok@%wLBHO&`$EOt%l`dD9TQ5p|-??fz{4 zLA}SL48=R~T?nUz0E24ZmAwn*=z#@?E*ccGMQ&3mh{KSLs%(*&pH|7n)~eBex`nuH zYlT6yDK)A}Y}q)y;^l=%v^ZJEL;uNuj532~S=vfn6^7zh{b^p=T@Q)vfN?v{Zs>k3 zXF%G2(8tdc4Si@{-xHIP(iFMBtWe|b?jBp2Mdw}*)4kXBKAIKs4wif8-h-myIw~Jp zIHj0zER5Trj-74Ag4pg;jK1%Agn7;9Si)r@j9&ecXJ<{1oXvG_A9Yw#y7P{eX1GVE zt_)>;*VRA%%>3AQ`As{|z2&q}tckmC+?qtT2=yuLqx6|S^;+l^rigbrJZo2UjJYXc z$nLGCdrxB9jMYs}H~1u_ ziFX~$RA^=xjhN#uoCj#Up`q}-a;r9MQM`~XF-hpC+&?;?Y0sm3w#iSU6C5dF6ivh; zCHOB`XAqYuUy6VgQXmRR$;n;-2CFH2!p!hQmM*QmjW_!8xTj5cjmf)3&3vX}a=FsB z$+4`rej`r>AdJt^PtzmLG^n?(0)HrfAJp7rk!oI<2R5E0h330eAk&C$ly$y;A;*TM1YWd^6hBrXPjx>KvC2Ce1E`(Im)ZTlVg4v85y4%_+xb{Qq#$D7Ga0@A-O` zM#!xBSkK5Cwz;DtZ&SforpJmizd5PW5(`isUtR4nac}g7i0z;qux|vD?XK8&??0(u zp3ZFp2CUZ}Y}h~xb(0Bv?rDES=e#@0;B2hNK@{M235*Wxp)4{#kWA#S{aFI0T2}OZ zY1XRjlTlw0+Cn~(IOZA+tl{xohL_D>A5{$49x z*I`s_W?3gMnuxTh5u}W>yDn%iG^1btFG(rN1Xd>Z8yY8#z|Rg5%b7>=hrMPeNP}Gx z;_)KpIVjt;Zf642mXCi}29Xj(^%3G}o|f5~!|C+i;zRj%zvHU3&#jF$iIum~ zjWmmG;p5A0DJrzW-^XR*i@i^b-|gU`+Om7wkF}Y6ujaz}CRi34iTaEWxzPgai;Bh% z9&dbYX*3qKgNBx91pV~#;l2DWaOt(V+qP%a+NcIFr%#{2& z0qF(I&gXZ&C+!D6AC>hjq$;0&Nx6WptV%SM)KVFQ;#K!OUuNOwt7~P%gcbU>7n`?K zsd*5IVm_x;+)ymZR)4=+XD0TUm8*Zh3;GsypVL;+rfthLUK7nWyJi9CoBz4gRuJ+$ zLB4@-bFA1b!$l?9eUUv1PTg~PVM_wn5bj{@^^!<(ZnkFj%X7ME z@^firq}Axz%EcAS-j5L*BO^FH)dOlFIr<-4MEKWS%H$5$ESqMSCF(~ZA899a=(f#X z8}=fOW~Y1nx^chzBl zF5!uk^@>NW99BOl?d!PymHBimrYf{EOE#*i9FgK|g0cu}w&aAHgqjI?+y7|=hm`Gd z>T<-)@0GMwwUF|5fh?ZNgAKDiDl#Cj?c@MqFrn>_DCbg&s?@xX;bG?oIODjXRJK2Z zi8t-)Y51=r{@wNEKa)S`4bswdcOoR8`DxiMeLmFXd3l$pH(XJ^p}PgIpLT<6XCj4F zI%p1CP^@rFJo5;7AT3T`u#{L#lwkV*s&Q!RjHlqR-=kDAv>WD6Pa7A+B0MA9g;0$%W=qTqPkZ*t!yTbf-j5D=UfMTw;vklj zu;m4Hp5XYdMrBMU@P-&n+y?R^DAvG?zy4p^$p&2)YJ+1Y_C@LlJFTNWdda>P9vJ++ zgzLwQMgywefa|M;g~j~&kE;>GVxwgT=^F5kwOEQnam1`^RVLM9y%J`BKo4)D#Bd}D zPc9}~tbILf9(mcsnLK^mLlF`booMwp?P;iFvndx?sF#G*K0$fLPF`uIwaPex#+cuE z2_7DL%7s*KnAt062p<*IUm3r5rb{264rjD@uB!L9#+B~R#TSn!e=IwW6b8ji0Vybe zA?jl!FJF88(m$_9?JLX`W%V0%(UaN1VOifC9mD(B68{L7+FW#p#?26>P4Z0dPeCrsFa-43R)atuJ+0F<*UH*dn`O5M(MCD_=q?Xu8FT*~XAQL#Mwfzk5PT;eTQG(oYE8&(Db0ym3)X(;dsTtHurmoJ{X4A^m1p78 zyv3dtCw5ARU{G^nyPi_n+a&Hyy}JIaH>V8Mux|Ff)Um_THN`yQEWGO?j`qM~ z!7PFaO0z38Em6z(=!BIrF(f)u=u42{Z4$et0oCQE@KnB~I~e){k+7z3Rmu&c6&3NN zi49!B|FD!nYiPje=jo?DvjAS#G~l!EnrtXM zfHl50jQ8YFOZJ2*-_3+=%(-6q=^q4Ge6SZ?efF2k@4APmXRyt@P;@=Dw7W$k)XNrn z4J6e zX)pz|8kqWvE88T6_m(v$6GHk(Y4QyUmj+N+YUH)8N6UNt5y}2Fcha!FY@o#OE zsyB2*mdWG0%^N`|`lki&W8%(~>ufR~Bt6N2+?IOiwS);c0!0uKv!Y<@Y@0j@uBA!h zMR94wRk9L3?Ja!pvYZn89;{cc;Z98sr^fTe}J6~kn+H+}GV6*y7KY_-CPWhB5#xDblW1E2iqr6(( z!QB<|mrPiTaxrcbtEBC;wex}#ho7d}cl?g@dc&6`34b`=L&BN{=X|J2D~=yIQ{KH# zBYhjJGrQq)+T!Bteu@eX<^o!h+fJ>UO)B1T_!i56gd%zAF(z%AgJ=?8XQghy>b}>r;z;D3C?em{0j1TgU!UfU_8@e5p_PG#vdX#d|tLW1(xL zHB0wse)eeUvSuEMWqYH%v&nORbZ>Zel^O2fkVN)SA(rUU#ND%=Nw|e~**Ar2i2fRV z!8*4kysP4i)U_TfDIOTFffxH8{>?%#_C{UG%bw0gOoT3a=UJb2Qb9HBJce_JkXDj4tCj+BuIBGsgbtJSpMYXebDCDwRUCx z0Y<9W$xU?XJ_wO+EMI6Y)DOgywh*NV|R>$!%&IXwyAnIQf6cHQw08YXoOk@7ShWR zSFT;EGa#rfmuka26ip;1HSwqKs}j@7S$mr&5pjWjR;w(S)j4jpwzd|j?uy&p!OHhg zq6#ke2+=rcq2)TbZFfb%OK$b9wPmQFtRd>tDs4t*^%dy zub!0xkY!UG%#6NFKb=!g10@P~e~|1E)$e?JmXgd7)GsZ)I%J zBf1jh91HRi7T?7r<>0d8IvRTix`oIo#q$dixdwXs-BfEO8+48n#0b$00KT!gCkfrx z6i%i^m}3W)YDZ7$vjQqfL_HO6D*u>8{oH2>g~PAk)6+Mi`t$$2wRZCQXitYBCQT@t z@p8#Nl%^W9jPpm2(_$j4ebre=dj2b4G?Cr5fSmSJWGmT}M>k!$#J`H9p; zteO6RQ^2%H$)c8Zrh{(kPhe;h21ckBKp>so0JZ$6`! z^cX5#T_%RUBQAAw@WW}i@{CI4@K%|e;^#m25HLQ{`%u|ibIfZul%*dUVNDYGfr{sK z!`hPz7|vvmL=1>R=69|@JBC_ZT;suc%2XJ=eI~*K%v0wV7fB3@&hDokN}IeW_TdOw z3YBDTu{dDqc#C=X=@n1V9^cfOfc;{sf$MS38f;$cwYpfoL1>6$Tl3?eQX>bvm1E0@ z>63tV)iNKk^bh>{(wH?T+l4HTQVzXsC~0mER4GY@Hv5U6k9A?yhV}M>zVu zm$R9Re=w3Z`8w>68hbBgqdl*9#@Z`XqkX-(e1_<&(pcJ~-q(^D0A&@>tH3%qfP)xD4E5c`U+1 zdpu@KF4k1=&ZWkC^lk(xyV)O}ULOT7B-Dq3(IWc+5??|!76!(q28wsYB8|rO* zG`;aF9N{J-~c zaKaE6sVEInO6TZCx)dd(rG{*jq||6o8U>^q1CSU40S8ElG$^nQ93?%v^EY0f_xJJp z@BaJT=XuU`u5+Dpl5PJ>9Z0^pm{^s+bph9sZ9j>fB?+2CtmYFUdUq-OK+p}}b%*iZ zc_D47rUMfBcODn(%h+d+tQr0oeY(*}+*5LCk?h;bR&Q$i?9hx=PLLqjq$XB0O^p!^ z)3CWO_DkDycX0L9INtj07bJ~Cn^&3t0{#j^sraxKw3_A$$<<&{9iV8x|_rpX2C zvyVoE*x7J+o(H5RkTDmJnpJnJ)YnY~!x{BQi9_|9NiLOxaKz49UQQu*j9LCkmPC20 zX=`)bq)StYqXhF#*#&(E524!<#cV39zv6v={FMs$ZWHUs$=85QqaS3s`P($ zQ~KqM^6pFzSU~qiGs0c)W=Nkk^me>Qa!u&$P$1E|+gY zJwTpL3p#GnDwbIiv1H*pHxW}pPh8Y}>7@FmOhXc+ZF=R#JmR(FAg(MmizPh_NfW}} z%=v0j;JJ=_RjJQJeSupRtIEO0RFv&FgC%*&YJh11#asQ0B zFTexP&LiyWd|y9J_pZiU+`k;SCo`Z`oKs9WbBy1E`Vt*_WyU~RjvVd}19O}Hp@x#L zRvj3mLB@bCLGB1%7E!`#R(QCAR7DvtHioob10^#zaMRZI>K(LgV=s6>sX0l0Q0@Qb`LR>B_Smxba1J6`tiZ{5VJhf7P|X#eAy{gtVXxjXgK zG_Og|P7tF@;=V>Pllrb>V`8916lnsazg=SNz39T@dNgmY6er-@9UHoAPsq_f559qy z;}Y1}!Vbpq$ST5(tU_70*+8tmWRTHgO;_$mX1SR{6B0QsA;%I=B)xrvOPG8cVTzWb2xXQVdorWc8eo?g#t;T8CIZ7YzBIja?1(+M8!W<&4KC26mZZf#P^i^M zS4um6aIpfkFbq0381&P(qcOJUaP`iRE|H&9M!4loYa=(o^?>grwe-6-0HvgZO1A0X zX)>Uar~z_t&1~Z*_|Ri@y~F^HZ=VeRUc*`l;uNaC`%)6+jZez!@J=h+^{L5q#7(&SqYYNnz*H7wCvTKjf@rNLb>%7&$c{mY_^P( z=!;?A)`?NN@{8rdr1`d&kk;hhk6?eb^fCTCwF{L2iCnS@vj|8(8M$1!D~z%Bto5OC z_8%eT5F@(tNS|o$ah~^s-VM$u?Z1x@iX7EC;1o9ww71hYUodZ8chB3KJmIGK^j~3miM8t3)k9oOy|*IlR-= ztg`ym)MV1LX28?cckN%P1Y_s2vmZbiqa6%ny52i3n9Q^})sMIr{{+vljU?GILn*S7 z&=gX%9w(+&lHS-4*5EQ?pa+dq7si*1wKD{b>WUpX$KO34OvnVI)u@5AuMIO+hJ@W*NzOMfA z^1<005oC`YM_4L%A!=u&HB)dK%v7Z{FC9UH0OZ1(+7|C6xj59AQWxG&PMvA#o2)RT za#Rq11?-YKjg}MWs3b&U!k2tAxtOCsuSN~O6sFlEXUDIJie1~ zdxXxF0R&;zU_thxp(ncHJ{OtnQLL%WKf!j>a`y*s^jEs*PIGZ}G45XQP$K~qd0|C9 zl%yX!~n!y94f$qK=1_rl&vN9JI7fiUj(}#Se^><_2 zpe@G34=~;?z2-Nu)h<@6zslp$5?C7k+2A-73w>B{@h(@v_sOX(3*p}_@r(tIj6}8U z<2(4!bq0pV^;k`xb^gXYf5RW%cA?gJl#@+joqj(Sgqm3A8R<|%|JqI>$5l}@R85Qq zasw;lCe;cd@I9}U_4EMv%!pqltEcGCe)bok>zDk2et%wmlg=9SJ9ivBa#>J{G*K3% z8yF8dN)aGEq`r7PpMRO$)7qmrR(GiCCfPXehTNh=Et}5S>|5MRapy>h1@@anLYdhI zeB=eP2ujb7}~-k+iIsNy6=?0!gn=rk^(R?|St7xi$Zl*9s4}s`%}}R>6&6`ZJ|IqH{MO zHNoFP276xFF0lExBY`;HY0s;f&GOwH9_ksYV?UzvS2S-V;Ko;Ob%`+If@U;;@NS=A zN#_0kUeP`j3L2lW%G`vNnlyrCLrUcNsrpjY`K%cEC_|I=*$ysm)`9L#0xI`Ce0o{$ zGFQJk6?3WdY+(=ySU!V&e~UW_wQSs+gVTyf3Q0=!m3ur%2X?mjrCJW>-4iBkL;O?u zwPCAxr*c7#`t5Qf>3Q>ok%v%9o1poIyIcVoaGFL3*wrQ19|>2WOXuxos?yzU}R!^F+7k(MJ%2f6b|4v%#k$k`hIZNz_ZZt9K|ek&01!JT+6 zW~(`mtj9p>VDnCjdq^Z>4v!%+G$%nt{0=IAN861V>j{{n;-`<&A_jc(d%UwozYX(mF!Ook(+<18&ZZ7A~v?Vu$FzC@DKnz{|4fUlnC|HSe=%t%fU^AjXOki%%%%=xUx}y33 z3D5={SAdMgVd*=6i0~0lL>L)?X^Gh)mS*Ge%CFj`yoa`rWQz^j^dFnC8Y!5F8>F99 zg}=G$qSrl*u6uRK?9SMSQvE)4RIGP%k8MhG#lu3Xm!pbJ`}_I+o0< zG&kK0W(ZEEA)FwTo;lU+@498{nwjqx9d!>^=TpFiMhart%Z*-Cl{R?<2=YI%w&t;n z1O&tH(`527PB0!21?0;`-x%1Zty2#wPt><;x z3>Vl*t6wKFB^;plWg!oN=E+7`f>px>b1XGf9kJLFIgY+KFxcvy>)l^;5HM)ukb_nx zN2tIhZH!b~oal_{>R!|zK&{UT-2X*>9hxoIDK~>uax<0YaP)GK@Vod8=!dF?b2wRr zTT6$~c@PRa;L73%6#}#(vnR@^41%<%SPeV(cW>44jMvzxr8(wYiAPs2paYL;VNHhR zbLR@7K4IGz$mN3cx(fDmz#XSC>0>`;0t5^>N6YRB2^er#fop7q>JlSA?&D;MNa7Q- z$_Iw|T>byKwSUD*x#oJ*qXV|MSx4WC7yZ9o05w;53C*Zb6fc{d2!iqS6v1fa;&(%+ z>(!oE!EinLILhZtw8};L8&su@=4d-y1<`TDxzw<=&`7I4?iegtQ(7#ZwQ5RB<6$|I zApMR7$IZenC}5%9{Ju0q0wKU1B@?0iwyKnX%lXNjzmgP*S>B!lAAS~2@&uUD`h@-d zTL0KqLe%z4=cilg1VrI_jVSUN1>8)3r`+2>IB|^|zf{azBc50&IIc@^Ushr~d~hZQdM|0Fu9V1MqHSJW@kuJ_&3^a&P}g) z+@V5P=Re`HVBYLc{B%QO9)*auRW8oao*@~$N+V!pk?2g0L$MzCQVNykrxnKRq$g$q?kk`m06#>ojF%PC z)+hQL7e78dxcp;--GF0S%;||t0J(m;%Apr*N|ffC2~FcBB}GLlOhKq`u`Q6MnM`dBm!z$v==CJaOALId(V`4){1=$~H|PZCTtg=b}RjG{}`uaL0C0wA>~ zjOeW8aVQmr7{5>mb>>3{tD*HQ7f{AOoggNS)Q!~aw^90UE~|PJ&YHRuypkm;_eRu0 zp?ncL&wii0jVxp2G`orOcVj&M#xXNQZliP$*Z4Kz;pR+XPMN`+V^^)!;sx$GqfO4O zw8Z!m0-Uj)Q0=in^As7a9T^;$gT^?M9)3XTTq6Uv>*&?J-1RG)&X8sv33Yr!4x4p) z2K-#+gC|g)we>^qO_vRfJbxg#dWPhHg)31-9WP2Aq1!j`2$nG-7&YCY^jWi>^(uMz zEbpjaU1=NQ+m8AzFg%G2_~L*ADh?EmW&3oejF@Spsdu$q>4wXb1#=YrV3XDi!%tb0 zGCbk~C+!^l5Q??%uS*adQDb3gToT)KIVNmJ;Z-o$;K1qY6Mp6i{Nw4dmu`+w11=@$G0-Cfb?+kbn{VAyZWSg5teReO7cX!*oF#3@n+8i}eP>SrS@k_SJI(gt*iktv91wZBcr*hUsAm(o?R_%U z5n0y;eH+xi?2G5FkNBY1rEtN1^@wYxjpy&fJ?4kezW#*$YczsI&1C(0q@~z3R{1ht zQ2_MCRVeYCDGQB9h?C=%O{#8@!JJVSZRlZs;M_MZ%>>B)lhnCxUkwJqEcVNw!Q>Xc zR_!j-!wZ)AsiTEd_?+z1l1KW0+EF+y?4c6B=~QJU=O{7JDDt?avE?a+y{YP(HNAE5 zG)k?WJT4(VBR$Xd*(lDH#usRK(O!7W8{+7i7=bFS(aO7S*vJ{7;~_KaK=O{weQ3T( z!R6=r@MgLD+&SU?GM-bEXNI8KGo6XU6o|mh;t$k`u#Win8Hox?l+8)VMbaV}r+qWnl*=PM`ao%nzW@~+Xc*jL+q*wL% z63)0}Cq-$ABHpTpeqMh_Cr|F@fYNuh0l--(bB7ok9?J#lR6wM(VF^uPdgtbQHV;L%?92uMf!X6vD`NfDs>{mKk{eD;IBG%d9yp?e_%7qmHV@R-@a|0#D$g z6Bj0@+u0DVq=y&#Fr1_v(@*PbR$#tAQmc_SK!iI& zf;t9n))};|>he)hS-snvSfm~n*S8=5FFF+#;$sm)TKc2{1M(^Ry4|4dxGOA5);*N4 z*#)swc|E~k{ADK{L4g5eBwCqWW*}fVT>`no-p2g8rAvz{FNO6^?DXHbznQ<9#&PLz zFDjWwbIbv}4tN)^IXuMq&xp=A7aUM&|Za%9;2kN?*5>=X2uTE zb*N#NO`IkC?t@~mUA9k?=sg)y^lUmTcg~>{(7@o)_nPHWaXwl@c%g3{n(8$P$xFZWBjFZtb^3Pzhshcu4~S9p71uiM!d(+m7A*f z+Zok3MoqQr$)7y6|CPDg@dt2qj;`rUty~Bv9bl?{_a`s??#r{tnN)}Xcgq4ae}SG? zZ+*{&8y`0kJ`PrKNfhT}ue z^L|96F@j{)77I_3pickxl^8>^VL!MOxZ4j@UL&6=3u0dVU1hL|Q(@&<+)Y&vvJ!Lv zwqoaUP*gg%m>sLs!%6n<;)&=uCv|QqX2~^ZnSGNy{!6|FMTz!?Kb^IloT+TIur*;A zDG|=H{F9}5VFQr}+AeI!J8ui;xrI`~L^z6AwF`@yza4~jec}WwS9UHKC%dSBV%pnU zMH^`Pt*60*@MqhPC~;q<2V55V7DKb2X(io6QDxfA%c5l_g{Rd(;nk8D<-2nq|Qrp?daHfii%8-uf1DF*blln&0?-=fOG>F|we@(pYS zn0G$QM84Wn#;|j5xDOpdP=;70xd3?AfKEt5&f+_ zITq<6xIJ@$=aPz0+2+p?DtH)aX$h8y)rF1sl^FnKKsa1cj~4wRG?ZhbwEIh9lPn%= zJ)EAxftp)4S7cwV$bXJ*5Q03JN5EUx6zuF?#yg+z4^7N92AF%i;&?xG2rPtqO#FFg zA^e#KN68e&RW4D*YanOEOf#lLNIxP#x7GE|-lDv$M90%ljv|Wedtv!)#+P+=wf&;F zHl2?RzmRje#fQZ%-f317HzmZ3aIpauzgM5PdP>$Djc{66(Gr{+xQetunz5%)1b!th*tL;}JAKJ=4bNd86mfL?7=W=Kg@9>NFVU5!ZLOoYnb&Z0Ii~J&J zv^dbt8kXebutlE#muvroTTK3Rjf{~?BhCYbZRlnQf@^phuqmMo8=!;GfksF66T#E19K22UE#VADV0~FAoVoMqIz5DX2tOnhpOscJ#d>ThOi5a7JFj6v2Ya@*G9Rp8yUnN>#ECEe%8el$)1OXiUs1Y5TCG&j>W zey$qmp6dJ0;~NiGt&gJ;^xP1;YF*yHf|~rzgzYr3 zllj3t)+zlG7|D3J)6PCLuX)Ymc(+|r-Ft9K*=vGm-TzpY%;rmhG;?AjCEpW-&chxT}D&U(3Z^{ygQ``J`)3V=@PP^)UH?Uj~=Hu zt{MP=X61VSp=Z@fm{J2vz-By@3bh^cv-C^?Gj^*~a&O?I14u#*1J-V_48s*Tbzb*6SXY>4tl5qC(zV*yUO&ig{u+o$Y8E2)v-LYM;6bXswj}LV0_KSrX6%Cj2 z&QTWQfBxIj30VE%K{3Kv!Ma^WfdmF8I8zhcxD*MT`jL6%)+!M2KbCH%DgL#tPBF}G z*;Tym_;XF@zy7_2QGuOxrhoHkSpR6bLg8*`Oa1w5pAptjJpd z!$YZlIfBy?`O;4$LkgDM2xQZU1m<-klyhs4(HQ;SU~eOB1abdk6qPMy*;j`w_px554=?5u-V{01njr!RQSa|Pl?9r2&l`si1TMfoxUfrj~ zuyR9(j5*gMGNJ)V~1X5x*T5(?;8`o4EI0Jbcp5X2&ol=$fvJ5jHH@` z;+QJ`sf*?m@_O6WDHgJ43~ONFhIfB%|25;TT0Y^e+|0F9EI7M2q;U(aIYK2val>_4 zd^Bb^RinKwpbynu67NV=?!A4>)jSU*v^c4$uYO}v6A_=_Hm+OVYM^hUS0wlZUki4N}}=+T+GdfsYpyVon0=l(1z{24YZ~Iy1KOp_iFX zCSe7j52j{jec4iOR+ksmQ(THM2)|2(UZIj6=*kw&@Y1@>0Xo^0gMm;wR;4D#8`20n zbc3|w0Qm&(eNyx=zd9Z~08w9vig^>Bcn9Y*&m6kqBg)}MaN2-3-F5xhDgcDM_7rOz zGLibc`=6Dz1je%y0ic0#=a$Ib-w4JMLFtJkDJ;0%{6`LNpX$FfK;X~X`8tts*bVFr zzaBJ03gqottGQ(g35^S<4u*vLqUP)QykMq@(jWx;*h_o63VHd+#L4_?KUX|>HusQrE`xh>f{C zht@cw!L=~;KXZ~hlo2B9OAT_d60S00r<*UxqosP{1%Km5I1QyB*BL?&kcr-a`?_~2 z0}CWaP2+HoaSd#Kjxrk^>@kdZ1J0V+OjHgyy?J46r^Ub}l9%Qq$ z7C5oPwA|h(RP+v;HE6mzB|O4VdTMpYub7+E>Bb4Dk$AC(6-6ZXC4`MRsAKl+i#`U3cAkVZDYq(a|;73!;y|mPF{w(D|-pBiY6y6igTkzkx;DP zL&W9LCvx-smj67U=dkr?P*LNIu&+> zcc??XK>e=*F2G8Uz{l+Sv;|q?VUCkWI$sS-)S$0wZrxkv5cugh%go7$Vos^bqmuv~ z&J7h$-2F9^O2ol(oz6!dph~kaap(9~W z=}{I9?8Gl}^z+&V-m9Z(>X5+W?fqpP1W%CI?Yqq7dF1$B$&|hS3zu;ObC&E4tFm1q z)`8nbN4H`eHJEYUZ(ddw%PmiMmL02PAB#`rA-`MeG4#!E{oT}ktgVq_BmQ-_nL650 zB2P+N2Fe0|#24ie!8|(ARcIg~-!{W}sVc}Zm4M7X@ zodIa(Q{k{--LTl@NW7&MmBPvK(p$Qv-qMJ7$5!h4>SL1+HHr;HzP^4eS_1Rz&AuCd z4u+$Y&RT1zPi0Zb^z659o9cx7LNOI$#rStt&wdL-nI$*F1CtI$wm6p(Ap(Nf_-5>b zpw|z~&^l{R6U;G^7;KZtPjb+EVYYQl53zYukS|# z1o0k}SzCCIhZ5x&HJ_zi&=E^lUrKPygEN7}L7>1)p5(tu@I?r+cu!jU@m0Eg*t29b zME~sK+39Y~Y8LV68_SyibIknz*-{>f^l{|6ll@~gkrN~Hwj*r(;pf`A7=h^6QOeBr zO$0uCHgvW8i?t59YoBRo&YEZP-#Y)Ee+?{P8Fv;qPlp}g=^)V*rQ>R&{B^zoD{bFJ z?~Z&IuDIo5@KYseM_a9tM80Aujp4$G8V}FLU`v@Os*(lEEANnSQ;DP&)whndUK z>1p=_cGjhGVC4`S0wv8M99`1#OYhpH#SFt@BMtWb=PQ8%K{Nle@J#^XNW^+hc%Ym3 zxuOZMKT;|RGJYT(ck=~yZKHXIwl^%^Rr^%VHf-%%gr%ktHl7z_el$KAI}ETbD2=3r z?Wil(BpIAZMiU0^25j#&c~&%fFr%X87T7|m#XK}D&qWIc>9o-FJqe))mpsDQa&C-F z4v5kJyYsibNwiTkclF5_OD~La9IX*o24nj9Uzt=IYT>#d-Ze+5T1*fB71Y;urPnbe z2)PcOgrrW_o)+j?H$u2s^A_}8dAo~;USA0^boDiFgth|J*+MM~G4T zNP~6)mv4Mct0bs?CM)*ePYnt@I8D*~3y z#?D-R(W#!bZf;C9oWU#}8vHhCuJe`BoA!bJ5eX+01+ThR_h@h**VE@(@&)l*_g->* zwm$Cv(d~^(`?u-t?RBC}Aho`C_eFI)P4uv1R;5;;#XUv^Q?eJ_kyQf_VrfW73RRbn za9S^IW9lL2(CLQPTB+4UbwfSL6yQ7Gb$kc$f2KFmHi=>)4w*zJ1yy#hPaf3ay5l zo^r*m{bU|a&z&bisUTHaEAAp#)jQ^RxAQL~Xd^fhGIieA)+~PeM*^FHC{%vyerhN{ zz3v06hxQan1jty5QK3GKc6&&O{Axv}_0VX`tK#-r<Ji<+yz8qBa6cFfrE--bp;g zZqJAYckKu!x}KhLu%Z;tqI0`_!21I{`;w#OuqZq{v?wm*ucMM7_?N3|`B!2)Hsf3{WQ-5oD5+tbooCo$i1_r1#jQ0z7Q0!9Bxpk`WuHjWJ*GV-ohQ1W} zAB($iRogccYC@2q)}t{6mi&0VB%b5lkHd^{t_jw=-Lex4DN~f=hM+?Srk{ZXN`2y| zR+lbwCTF#Phm1zFTzz5cOZ{~p#dH^3v{{r#bfMQ6=siyC2x#`0Y{q;w;5iB6ZT)BB z>w=2PelqP*-NqTt^Mv8Xs7f89bnEKpqd(|dJ9rg;HF#iWi0NE*YF9V`(zfAfZBM^@ zX#e^AkK`Z^Jj1Z@A=H9!aS?Nah86-`WBw?W!-4U(924g7a) zo5s--j(3dw1m1q<%KgvqbtNvuwjxCv2;&=HjG}~2_WU{E#z45Hj^e?mr!};D2d{vW zzVD;5Toern2WJC>MF3Wlie zfYTtM5&MzmKi_{?Q0=k{RSql9U6be7@FCDJLz$tSIeLTJgEY94-6Ip>QtPZ|ppi`u z9YlxgX)o|EepiUQ7;k)J6X9X9O3d%4GK=V-qS?=R+`I>hX56eNpG@GUs(i(DdC|c) zP%a!+>U^liIke_zIok+ef$w5(U)jLriOE}uRxk=Zn{t^3bp@Vi z3p1lpkK!q}f=$c|0OQU1llQcGTb1t19u-u+uc>9SYbk_FZr)h)RNRhg#>63e?(--u*M}a3u>Kc*QhU)OmB@7F=PX|v|0BnULa8p8 z_h5B9QQ|qgV(ib7(;@w3uNCV3ZPT*}rkC+m2)8;6VNW_pfdKwCcqHEj9iansceKYF z`4BwYZ)uX)6#0!VJ?o*Cucl`7!9S5}Yy1}V&WU<$PL2Eo&d?cP`q*e4#qXIILV9Q> z=KiTyINs@3fC7m?nQNivwMLGsKv4i@6(f_!NwsVDiQyXX{npGyHPk)f7jXMaiS`~G zbk}KhOuWM+-d6jfB9c&oy15}f#!qJ=ug#eG}xY7NKBAsw5Q^Fl-`G(3?3YfDh*R!mNRV#67i9kPVPn{KbZBfL+ zKWS4AMjwYVdA0`$QqNr#(|Fsmz$@51Ud-+XNFhjN=Y6_J4&&k_R-gaNq6 zS-oC(Ec3(EzKT?K*U=1)QLPa$2@Z1EDes7;Kl_n0coV&p4mB6An~B3$Q(DqboV@GzaeH!D`0$n>jqadvHv?Yq+vLN71! z5io(9nVU%fY|av()*G2eHDhj3^8RG`-QaE4NQ~=z4mRiN(CkwHVyUVvIQLJvOFf=R z{P}0CWIfL*cnB*5m~A%#hA%rF5A!~k$N^(nN_C49S%H)vU!E^ZpetR#=}^)Mv_%of zu7IEi0bMgnzRS@@zc#|N<6=t3bt`pivDaA-O!WG) zybz9tzN0(t)s(kuQ5ie=%hSI&_snfZc2JfpLc+&5WzUG^{bfait}enAdUnuQ-BLB= zmnXP?y4#>&@uf{q8JLEgryltMwiB2dFswU4h-ZSu zhMTP%^7YD>1eScyRJ<9LT6^Rcx(NITq56~+TvFGq;etZcX(ksMI50E>@tR0~!L&%r z1iSyT-`Z~-U0vOqB2{2#K!>UIGa*9%dd`U(J#uyPS}k=)X2Se%C*kt*pM@ehp%+YX z@Bbt97he2F>W}0-rwl;t%rO%rYzk9o?LTE9&Ag1FO>aDQYih@m?#{~$ks44}{~#VW zyhrYomyBRHNas~yj@p;UWiJkCVF}7xVI`eBrtL=CAZGEmY`25;7TP)YmJ<1SrmGV}u!kaH)ak+IUB9OYA<-mo1hl7s6MJ1v*W@<)=Q@u2gl1#- zVIqX$p7!Zw|JS~3#h^T;>@?_}4zgCrFuMOihn9VaL4rd8z_=X@{JhdRlH8GKo|o6Q zO`60AcRQ5>Qn9BN41`!Pz;NhAb9ZvsIvSd2Ve_mFS_Fg)YG%)Wa^j^XfKsMC4$^IL z)=XmeU#IdC{-*x?&57+$my~`e^U9ua-S?3N1=LpLH06=+dMnN4pF@qDF~4pLSV}B4 zd&V6jv;Jz|UdOF+rih_Q+Bj+G>xt~JAy?v#3BP0TQHWH6@>ndf4ebhcWO&Xi9~jnq z-I>%?Ho{6@>lus)@viJxznI^h>Np*;K<9TNGxebu^8}@zPMOtR^J=ZKrszd)?h|P% zC?Xh03A)29@ar9g%U$p{QoArpjD0aab#aIfJFc;Z(fhlQD<$L7E-%mi4ndqo>A9~B z25has9V9lSWqrnfjd=LiY+Z93+Y8dMCyN5;;2KLKbm-;4^E`$&!sN{g5)Lp%v1Tbo z)x;YR=I3y1BY~HlCIy*7@)^xRzntm}L>SQ}e>7Id-CxFe{9bLYURK&p^i!dy-S)4{ zPXT04ruf1&TG|_tVaIFCb$%X$(mIBK>eu`4#&6I`Gw0-gh};)T$5YBOqR!h@ z`Q|^Q0UjT-`!*ih8+!n7m0us$KMvKa50okt8*ILK@5}6X`1#MS?&@pTv%^9@-47xX z!H7Y9B|jN%7CZX=orewIM|z9Ce#Lh|O9Q>8v!+7^=#M^j((a45pF{+Pfw9p-hTO+W zT`gO<^}`N6-ojU%Ar2{-ZOfYI+Z%5rN<->Es3-r{)ay?Enbd{py(N8EZlF?0?7=Z* zd~_pu-*UE~B$U)%vc(x{DoD>42%_URS;Ej*+MM-O}HOVUgUg#XuIjZo!zRD8dh>0A)x${}9YSn3;i8R?O;3`dQ8M)^TPSb(g_& zYI|<%lf&aC_KLXt!N5W{YT^zRzC>0JO2b;NV&G@Q-cmZnQcd?Q5-BI1&DvNQwcD4Y zV&-S#VVRL`X5T3G5}|*k9DSO6_@Tspg}|2$pxH1#A0K%;m@24zcP`WKai(Hx&35B% zvQyYC59!RGV1v4b^cS+c`qJ@i&br2>Q$jQ`3}3~Y#U*h zQ~$bZqf&_@GvOY;1Sxe|(M)r*>c|%A_)X>C@4XK>HyxQX6S@ZBo-1L`zobA)l1oBD zFd(3py#Rv#R7Sgh<0e63((|8Y>|@)BIP2Q>S%z??mT6`)^BegksXm4Syy2oIe&)yb zOO6)0h-rY7YR5Y?DHHFqih`{mAE(S8ms@M=73vTsl5OAN?M;Ud`Plsa@$;{7cgBL; z#>AcPOC*MrHag8emHk`cF|`u|S}`P(pWlcgy26mc{nw)$=ldjWnUoG|jn3-0zbV;8hPLBcuE-mEi;U=661#D(knBV#u4@T@K7OW>434xEMUmZtC$m z70Fhpc`dK{J@C89oq-1d!W@%Jl@H%P!}|Z+=Zth*swwi`gojpt9Sna=8FjgbDsY`Z zwV>_8Fx!^D@9$ST=7c_UFjoM=|ubN)jF0SgP-vpew?Hy~GdX0;vV*FM#5(Rq-hw8x{# zTzb)AUktd3Ro5y#PX#(o5@x+Eleo}TwQYevZp%)zaC6_An&Y^9C~N#k%aHns1t0h2 z%4AdT4AD_D-d>BC^=4vNE^{yVCtptg@Q0<0gqtYBwb{a3hblRdv*)!O9v{jWg2hDnD(o0Q&yJmA z^9WzCyuIxm2CFDPIJ1^jBQ-|3IQeFdiaE+5^ZXL8YH91rG1JuGZo4NWo$_)j_(kHf zuX3Q;YZ49OpEu^yeZ|(@PuKP>9!OPt2}NvmaK#%A*aoEN$#biLttqrwCV$5W37{+FVbj6Q|TulC! zJ#7xzx|jCE0@L31R`?lv>+b90?}JULFs8j3LzYZezGOMuyijT{qtp;fpS z{F$`fgs0O+?V^SnLRC(GBlwkQJZtJ3E%tYc!%9oPSP0t-xUos9TuxitVsk`-o8himdZR5cgh+#c45^eT-8q0Lk|Lsj3@Hsm4Be@Obc3W)D&5^3 z0#XAEFi3ZI%)IOGy|?&tShLo>^L^*+v(MT4;4sRH+qg_Wab7mjdju}VUS^^tzln9Z zeKgAzK+;W(dDq|hl8BBv7WNf(F11=sWJj>ORL+`<#I^%TGFe!~&HSe#$dTty7*XMz;XZ8 zb!~tzO7%$wl%Ml=(w*|16(kMR}&&;}QfavFyMj3gAT0AM%xPlwf zNUh4YsFO6(aom0KfSxCqPzZ?+!}UvPG6X+AV_x|0L;YNW8xfN3f1G{(QMay1Rs843 z?cr_q-DTmi><}A4r=M8^0c)MLneLjKpDJ=Sb^3xyz*0;uoi4%oD|B4d?BjXhvD#4a zOlENf2Hl>eKLtj&N~C4bl|dQ;`pCz#;!2;R@qe{r1~3r6j&kzdsRafuG?# zaS7bgD1Tx(JEG(_3pcReeG@B{kx#cVc1cNZ-@jk8r$w0~Wu0J`z0ded_X6NbbJzs1 z**Fs@Aaw+MEVif3nuV8;pKA&H9q)@)v@Y|c(GJ6k=AkEy3iEcgmUV%~U9}GGQ7;(S zpk<;Poa7YUWxc|_OlY0|L~@Urk@r7WMAvt) zS(P7O5*GF^@<8iNTWst3UX>qbo4uhR$e1?}fb+0+ z!L&a;+f~YaD5J)9tzxZ+p|liYnmByFwM4pDhs-?&JPICSxMcfqTbER{7JimKFA`;d zu9isLN`TR3h*QpC!*J}dcKr4ZZv05?@XnwA6WNLO-F?XVX)9;S1YgSX)jxL#ydlsj zzE5ben!F=~6kgX{bdF)VuPj=Pcj_&?Xbn2`_d#XdK|f|vZXqqeW8g8j&nwkDDsvCn zkq>uSM^<2=j*Jt)c~DCI1}PwWzz!$gcz!JT5s`Au#QmSxQQ^PCkfB?#t)eaU{738- zG0)W`L086dy^oIWB}b%Hr92;PK_)+?-EO26XJn?Us7LHf@sUkuXzE(A4-nt~2#kZ2 z(hqJc7(TR3C*3nsfGbzHZ0jbjQHt^cB-V<`uo+Sa=28+Zc2vr~hr>wi^4#YZbP;mb zD-)wH16^S=0{f2<79!WOHbg@zP-L`JCgKU0(KDbE>S?l->|bJpT_7DYIpwCwbBn!YK)I` zOrst)mg2l5OVD#z8LC}E*eX@e-Yl(Sd9~?K`K>%-3e;q55YuQxMGBBE zcEoO-*w8rw^B=?!-HIT{dIi~hE~%pLup~X7Qh>3aQ`h?8qEphp^87DnbmKu~1tZpe zIGp*Sns7nes*UM#!=k>BL+u)zWAIn}zn`9t{f_BcBT+mXdkfp0_%wKP$ZDYR>&6ne zI~=M~Kxm!*&yhj)pZ20xNMUU-in_!Ntw}LK@zj6SZ}w=Fb^la+_{U#gk(9|#!LsS< zQYK%my5Qm;fhdr>F7~mWZy{C$;j7oWWeto#-UR2F=1DyU%HcOPyD73sx%4VsYN2=z z!|V3}Vv>ihA`Z5I=oPp2|*|fYL3GAT5?jEJ}X5pQ;N|Xsy*YME>DFeAruw59GLvVJ%N}8%K)~{vX zFz4R5ub0+`)OWlTWavuIO9-`PWe2G-eIvRsTVvq7-GRVZXbvBKV)5(|?nk;msg`%Y zB~$A+)K=M{bpx3ZDW5OWY=;W3+2}1Q&qyrf0cqT+Crh|H6KEfvW&dmwL3L5@+2wN& zJA&;G*4}-8A<}^yByI23g(GwP#ttm(N+!jM+(urQ+(2li-x@9C`d!O^WhIi4k!@*8Oc=U@JGx!Ur4zO zWYoVQqzTUiG$EQEyHq!^n-4BQg$-Z)pQ7qOytD(@dXszIl6k$d%e%!pqFBHU&tcqb zH0t|63TU7MYKgk7Y0*m$UakX~7ovZs3l^lh>FBnl*Y&Quq~y8IAQp6KAUf)$;=U} z;QC~EY(R)iIl9n4myiHmhzxp?-k}bqCx=|mD1PT3y{4Thj42bqtcIvpw*H!1a4t1Q zUw#XA+8ukO!$CO&BdSIz4Bt@JbFQ1Pf={fTl~Wuf?&sX4;>TMB)b_NwHg$@_NZ{A1 zk+$JG6){mW!Fgo4`Ozy3vh^<((I$G=sXhOEKRo_Z>1NYD(*b-xo*79#-_7eJ{N-^P z=%@|VZ%s%j@Os;*PgeUer^aS7ZKUHP0niJGhsEB;L_d_;vzmPP<{_Y==As_s9pnOr z_qn#nw@B+{f84L!YmXTHbn!=DRoSMviXY1HIw`m1OIIM5+w-v_tPxj&PdCz`!P<>f z&tH*l(eM9UyHs6fbPo~-9g&5fzp9hB3YB~Eu0-#VH~J9ujq)oIhFdO?(YV2Q2Alsk zRx@a)yCwNHW}}iMfM;`r7&DYq^*gVWDmZPL#4= zbrqp<(h7=a@NmyddCk;92aRH_5IVhX;Wwf9R#55BH?e*>Z7a-uHOo7xu4Lt$Gq(;q+3l@i?EVJNj8>&OfleFnYVN_LWG;8W;zUG%6*~ zuP`%PTP4bL?!o31H~4C`;x}phKx(%Ut`Jy)J#=YmdyZ=zI)`uKU9PY|(b4`C|1HJz z?SX-l)8759vF%LPh4e3uW8#I!wbW#Zca~Xtad>cu;4KN`1`w&I%S4j?>mM^R???KRji)g3Uxh^Y9FHZ4vqO~P5|EN zmSsB{CG}2Zd@+kNXnfwz8D}Io$Xl&G#&<$su~lgOp~1buRzbym*iE$dpua#eX{zGA zESHVJiSIYaUV&t!wb3U~E*pdHsDe!-)o84AD1wEgfRI=y$2eq5l37C@O=nI9nPs3n{+Q=?+epBl4wD5VrtB(_96I%zU8nc%;vmue`L5>lRXJRirJJf39b9S(y z#tWm8MmJ)o7d2&F=k0Zjb0p(p&_J4FQ`U93SQzL4VA0!U?r1)ukIv}LU-#7FvI|rH zrTKhQdUM|Y`Q_e0sK4p|djTj6+s-3GJ+I}vrSt5cc_f5*+jN?l3g_4nBTTaU9+ue} zZM-C|gp}GcBaZxKODC%9{{aDw|E!rddIxEh|6q3th|A9uu8hi~2m6@f|5b5LqLq7@ z1UYR(A-VY}hO};So1fxzCn(`=ZJ!O0=^wh; z+wqgi+Jd-+am0>Lv9v85(S-I3f%C)-rA$7=>&%J1de zcA5BJT&rh)D5B~lbxVxwl#yZqoT1)0FYc4y=uzGb9Foz?Su!|bb_-VzpE*;WD%@J$ zzab1KkYbrBzp5?w-h4PKwoGgZVxztt5#PnCN1V667T>{K&tau_9_C7kOIrxa3g_%$ zyW>KQo0iDlbcmTQ8B>Q_Gg;nr*t#?8(--JWUY~w?Epa^IN8n4LMEU?8kQD!L+Ep?J z=#r&{l%hlcFZ#9e-@;fVV@wbGAi)mwFtIS#eOqPdN3U2{ldO7nbOYHyzzzjx2v?eD zp54)(_Kw^>oFKar)>&;Bl9!fPLWX4~guv;|pjaGnU;ER;pT5463#ZO#3T~~dn>re$ zn8lVg;|O=dQU!TIb;uGu?4DPH^di4SMdl+;Dj$aFlexO^$1@&GcMR9ptqUxCc2dJg zGanJT`Kl3%yCMOy-3kA1F&NpC#YFQPGV#crrcvSbIJZe+QHBHm)tp3LDAOf`XYE)> zQ59bJ`tJl$8nR^$txc#@$I#vOy@ zjAx`ju2;XdnXxg562I7rZg%U^bS5E==v_GVs2MH2VBi%>#ecC zIWn8#a8(9{>p<}h_#F8}E-u=IMLU=6Fw*%dyOngU3nIq2A&}5e64`TF_6iHLuGYFk7SGha| zbl*A+ee0_E@*D@pKV$lvLJ1~;QAtto@RouzMj|NcOnm3e3{7(9qjD)Oo`QIk88Soq zAGUr0oZbro4Gg+OJ$A#BM6GzcryXKDr?RKIv{j8M4UQa^~P6#{ncKQjj0B zC62zh@MYNcWwe~r?7PhV&ktb{7>4BmjcVvrhV8VIKF#!#l=DvEOZsB8K(P+t_88)W zRuOcnIf=h*EPeOu*Drm-p^;V=w%JX`K(mPZF2hT)6;z$k#9%(g*m@Bw3F08)2T`>@ z?B2Myn}imjZ@p*9ho3SYcf=^ga0zv~?kNW`lPZ-_nbX@+*f)Bxv3L~!_@VSGm>pjJ zUI($1in*f1MgHAyVeC*WW+Js{064+0_IU)6 ztkHml;OWrEn8^(rX7Ix=q%P{Nni`&andWlJwZ~I;Mu1yWp z!y1R)!aA!*<-{ zk@$P8D$5TEYBrGqj0GA|HuG?~MAzzG2}f1bOVc#BCDXaSnvobd;KgDFKD5KxplH&w z(Z7NFGL?mzwW#b;73pn@kDjoPFZT*JI0)8>l-K(d4I4tAj+PoeWA7MF`oJ105l>R3 zE7(BMm)QPfIo8h?y%}$Q>|fUM2ob}`lS0hMa4l7Iv73+rI<_17%j!x)@&Z?koHF%i z@7~O}xo$j6FoWl|2Tn)9j^Fe}tAm0+Gv&sTe=WtSv+=8H_Bpa+A#WhNIkQf~-NS%V zEPE^4IAcqR9KG{7#q20q@anQ*qkpV4bAc$o{Z>DAII3Ivm~Ef_i|0}TS~a4b)BouY zs_ET%9Fd@931e;((j&$UjVfrgfHgHHE z250>VF`YrYrXwiWoc~5)niF4QlFMOa`s6^z`gPzM-0(DP;? z#sbx0+u|J$J+Y6p8+rIX^SQBp^m&9hGO7gi8$>MC*u%AoP}k!qoxGPl$&rgfFl>(( zG8)5_UBDQyBkAzXcpV^sdnKtxH4b}}8^fC%epM^q6p-iN+ws9aAQ_}{x=^nHT|Sdk zFJW7bNo9jP3U>uUjS_?9(piXgi9tl+FKjz1rQjQIpCoCo&edcY?D*c?ZkK?$Uwk%MVfujjF8ulcbwrpEDM#LYpxeRr$7k zq;Yrp%UOs=Bn8Uzxy9X*=D*hJcGN&;)&XuhD9^Jy2i+14h4VIRmNsEv_5(k=urzGz z_KlMM!AN*OLB<&lYLj|!XPMZ@_~OYpHKcdOT9xq zULI)N=EDajw|(U9kE_MWxGdicrkK;s6?E6gpR5+VzCbBAa+cY@1usIES37LDh%Dx6 z?uEs~iTNru5=+Z;*Y!$NjF3k5N*|jnDToYfQC;!mI>tz?vv9E?A1TEXbh``AuV7X> z#Bia!9t(dP-v`|F!a}`qMagGAIS_U8*adim@RaAOE8l7z*YAg|coh)-+>-+w8pPHi zyYs;HsUw*ujJ8G|?giH_C)i4loVZF#GB3warm_K)l{2%4g?@I~(eUY|F!AW*r-5D@ zxfN=J6LWlEU&BH6%7(JEjq>o@WiWs~|JDHYC@>P~9hAShjw>`{QO1=tp4nu!9`-HT zSjycPQ%swx`$7?%{Ue>u?_^He)8k0+YCds5ko^hO9i!5v^r`ph(b*J1X4yNM(?8Fm znaCy-A;@5JPVbiA1Q(=@soWrbZ;Nsb{oD}?<4jWJ?9UKlc3*lGrqESa7*%YjJ=Ggt zn1z^#SO104$7o93R~e}&8ge~%X<40LWX$oSY7!b>q^ik`3Rw4RUg(=LZING$<@ZXT z%m0GYBepXkoN(m~$_wxbUonbhwA6qPq5hClCz6hFwr}m~G}P)95V$y|xjr!c^KJ|P zfHvTFLj4bFcW}xV5-2|&k=y8Fp8pg~R%zFl5HpCD&MXbqaBOow`GH&n5_?Vm z=lq);?n6t)gFbjxYxI_u4e{gGu;-Lz;I`{j2ttG4X5J;EPwgu{I2U{Qy-}B`W_+Jx zYxK@e_)y5;58E?=h>a|K{u3gUae9kI<}ly0l&YHxXVn*m(jQZ+-?_f4RV@_=t0z4H z8gX}hyR@s#fp@DXTBBuWP84_aJb!nLv(XgnJKiems^K@di*zoGBVJ692-4lQx1D`| z&?KX4XKD$aW38#~wXSws8zK0@>kkpF{VhZ^gP7mxe9W1`nxzaP-!hMMn}02kKb1anynQ{?a`+5N%#VNFrfH7svFF< za;qU_*{Y?u5kcv>C4M5B)&|ZYStfNK$>vn`L$hv)`UORzS84NK$}NvGSto4j^N&F) zMqi6zR<4?}&Kai&>6WD(C@cF&v|{cdi|D(#y57A2^pQUVrRwBVvhM_cHt|sX4N7G^sCx z%Ide1o;#c_;>On(cj?!+4Cv7v7dXa#S{w+>l8bi3wEJhu!9PWuW&p4~Kc zQvTm)^XHo@@+0M10|mvQ#lNPVVqfLH$0@B8i%kPu!+n#3LjNQMl&irkIsyFQY^$LZNkV`%xUjlbVOjcDH;YhP6|v##AiA( zW4fD@)k3YcwmGq-1<9Kdi`!-grZe|{h>!Ha=P2053)s%NK9Krn_o>q);|FN8z_aV~ z&3sFb_WC>llgF0~^hfvua*@wDB2M&qT)lv7TAPM1_!Il%jE2xG93$<|tQ$QS&ln?# zh!$zXpN65f?$vVYlqT28OZoI{#yP>|%1QPYOJ<1*E5a{VhIIP z-ZEbEwfe6doJgy*q5IT#d_Gw2G-jen@((u3nTujh^z(wn$IZVE2j3T?|ITq=!)8|i zjly`SGZ|Fs+oww?6p%nzQdDC_gg zzU<~S``h{Xc*ZnF8Ga=7tbQ`3H{GF?EBk8La^Cu6{kOA6*#Y?GpM6$X;lC36&^foN z%WNxAZrtP>2t*KSMxPwZ_P6%L-MztKnS~_QuBT)2`ZZ%jsu?U_qcSO5=(lg%eMS=e zY`~3CQThAtgN(69xu4=U!!&!f;o67Q!sY0Ww!yEmcZwmtOEh#&D>q%yIChkjqJ%ej zz*;RxZXP65G_#m0CdFE6N* zarS_gy5Tyl^*)>LLnTz--&V*gqoN&u1LA39?5W0PnH6&=S}oB(7;{>qX@`3v30F&+~zgb9rkVw)aJ;J&lM+QHzO$W5}ozfMrKWM*a$DC}_ zkAE|OUUf!VkGI*T;Lfx1FuG)k+oxNzyeE;q*{wQ`a`5Rg$a?xmn|jH8eK<|faY^n9 zi9$~=eTU7I%R_Gek_~kP6D)`TVmn<|x9`?0$^Qywq8N24NTkBJW?t9s8KPkaLJ|+6oE+La>Vc>jax14R~6N?NC911RsyvcOfXI^O0 z(#9NQI&E(X&|Nf?Dg9}m=z4u`+-%JA626Pnt_QQ=|HNKqyosc0)4SHys4Xj#XRv-Q z=u7K)6Y7!AhJGYb{^>g7rWk2WCLKz-@rXyIAYzvsk=|B@sq!$fWf@e=pT zi}5MZ{5aajc~R5tI&Ufcl*e}%2(9aY2jb%o==Msxqv`gz9RK@HBqm$aDiWB}zz*VC z6Q{rBk0iWJ+t-+b&9~6E)6cKQPk%a1rD}d_3&!}g;h{;Q*-xA=+W-_IM_3J7&U6*` zp<=A&Tj_%{`O+)p$)oTo=_g#J91eu+E6YW&h_mi>lA#Qro~5S@Ckm-vv-QYS7}D-v zF~eh|U2=NERhg^6qmac0%;_(Y;~h_jfg6saFsN22QGe(FY>0QUAIOz?$%vA6cm7N6lCV6zN1F zqBbTpbA?id1%wKT_4tPOy8m`n?v`c`j(m0)s5c(y&)QHUrT%93)}5)^S8ya+l-(`` zv*OjAMk;7>-OZf0FU~q5N369hzWk44d**kREqFOcZ@wA|VREY$neL*$|9BX9c;Gh+ z5YMBj*C>8V*{1n$L%@g60vlm#$nh zWRePyMN#D@c9$o2OR%FA7*?13TaIn`smj#Q=F=|)J;&PlWeR>5+N1(a_=4|&NzZf! zQ(8~iXIs4Mnwk|tN$s^i{Ca_m@jGSpJnSG?OKH2!&+y)FaHS!{W$v%1ex}W~8pX&u zxBV{j&Kexn@-L<@vrdkL9psG#25JQZ(u-kHN_%@ZWVRpAKl)r196Dm#;n&nP48Cg3j@}wnwOh?{)xTx)?pqIuiGcUyyC^Y_kL1Bya06E)!NIxOx((NITP~> zbta-laK%ri;!6xis)0zRu=sZzt{<)>itF^<*){-sJ)~a`oNy&DZeRcm2z>0=2wzd; zdiE?~+nB4}@9ugaM?N^ud1Hh`{qf&sSs)0$)ztipU&e3s9#w0H6rHWMPS~BPQ1Ck2 zUOV1jXma;WnZ>9V2j){J339T`WRWI++0_Deix{U<1G*1~jo0e>@spLn&=%jo(9ZOb z7;l5_2;+>b+NU$&JknF&>g-_58DvG8G(1Xhm@O=4#9|B*ajVq?oC}nHxk{dgWJFWdHZ8((%FH179(DzG%hV9jIRHFDz8X9R~ZMPqGVdqiTnE zn}*}u_}XqOt8EdbBae+6`Y&29TJ|$E{I4ejt;g9K){>#~trT{yzedo)B;Ef+Ugk#> zodSQ--QI1s8!yGnC)lN~_2#oZB1=rpgo_oQQ>zz9~_-!u4=Z$h)S`yj7~W+y8T*B9A?!*aqwRU zx)nb_-G4=3SzDEPWyZ4I6OFmn>&_L8^6wQ{r?|L)GsPT%dE&^<|39}|h2h7WJVab$ zu5L89UYQ7PKP**ulYVL-WdR00nl3eX<^l3PTJEWNjajB`dm@JNsX7_8y-Qnd|E3UX zc73`PUEGDGZ9u=s(snW;wRY6UT;@90gu1i8C~!~VHL$s}B>1Wgf}ZauZQwZV{YJ|yOP`z;lIObud6LF>G;e4%nvJX zZ>zOB#o2H&=t9iQpgf&+`!EUg^}Jrb{p<1H*)6@D@H8cIQ?`L8%2{!0Kp8*~kLWO& zctM{jvKlV_Ut0q2dtiHQInWq>#y2>_H_y?dW%*)Jd@s)5$w;-Ep6a$bOo4~OLG8)i z4zt;Uulo>PHaecT{uZ2qH(}}r+-`tftDoLDN==3=Cb%}jv(RK)+b%AUFxz3%>`VtH z#6L_}(|tDMsOErfMUMh0{+)=NKEl1l-%#ObX6$5p2!$3SxdgWpSJK9O0(24 z^aSjZ=cY&wxeXd8GtmPYes6)<@R+LSRG8#n9^~F<4k>y3B~L$`aud40dowxgrcoWt6_g-o=TK?8^GEUE(A4fIh#7l-ppW zNwE3!;a?}e@4CmmIPo6f40!3cFznmki_cbE*4J9vMd1J& zv)-&eg?HNtkyw!w&($iR_hx4Wi(ip7_)dSeSA2-!RJ`+DX6yqx2@shW`D1+^3Qlcc zv}eUn(8w^mZfEJyl{G(=E20DBwDVcW%W3*lKgCQEF!ZsB27_4%90J=gjwbd<7ud& zl>1nppqiR-4_u$d0|f#ldT8?XRG`gIU`@inRTaX~@nTG%(*5$`tFXWaC*h)$RxAi| z1RMQ@Cn=#Q;Dy6ByVU(BP$A3Z{8s$j?in{pqRh!BZlYv;hTE)*f&Lhu%Ek0T_2U;U z8d5#}ktdiRz6BKQvq$azkyLe>H_``h_!V4c`TV#!gFck5w4RD=&Bz*pSTq~UO@9|+ zFYBZP^i@w@Mt@oHs)o*7%C79^Tqs1Y@B=r+{|BPtc7C39b|qiWU{yAP{FPJrUN&JcdR_d4{;IM=u^&=(*z9&9a_i8P}eCO z^xmULYW93sXtZCf?MnUPqRj8?nZ!nhbEj6t>Nt?A&Fe5-%;-0~t(VJ(vJt{j_*rBY z0VXuabm-t}@lv`4ErHMsFP((GUfTk`m^znW!ca>`aVn}6UEt%jZPwtYzg+xqo&3GS zNosN!q9*3_Qg&iG-c_0ngtpYjjIQWCj*i-x+MO-4&Z))UzuyW!@BT7%d=|l%xTQdV zfIJdkHch(GyN3HS6Q1b4k$@CRnB3@}J;aOA*HTX+6&@dwJSMjb3pP`j z=R}G(sSlabBL>1f`4EriJ)kU$<=3wc1{B!H#r6h*m~L)9mE1+<6-F(T!%EIBC)o}tzElXV$xX3KE%CIj$M z!h3Ix+D*@t^}C!;&j5%OE`H$~ZtD?=NE!8$tS`&%kELJaV}(o}ij8`<0G+{Uxd+;3 z0=diwDVsnwuKN0sbGm`sN3?e*0Gut}5+<-_4%W-5G-O z2R7fHdZwPx55nVO-f=Y}4!lP5`-fZu+W#@-|;;3|LaPrhLVM>v7$UNGn6IIzx_kN`K{;Ki= z*L3hyXq4u>@PbASN%9WUjxPJQ=&qjF?*nfVToHcjEhkUoZYxl%SYo;q6P0x4p6*Rm zmSc>o?38vH39?`UAySsyC6M#?Rn^9z9fvmk0V|&&$TL4M1IMlneO<)hJS_0sXI4Y@ zPWaXD6FF$~@yCMgXXDtxu&3h#?Y;KfhG>TDQ5x|J zI%ShK@%Gf8h%8ia3-C_h%@vwNM5SE!dPVP5{?q|ufp6~T;RT9ZG!vCql&uLpJYj*( z@co?_YtQhTzgHCFU8W@7RGiUT)IGy~e-M{+-?vxLLS1eeWur)>I_+swZ#<`wFxD zB(2?~x7L5BTguF0A%n)7+#RrsL0Gu=PUGvqy48Nc*fTVPoE8G~5)}>MT^3f4=^5W} zIXoL#8J{ZJa06Aksx3_={2<)deR)!E9eyt2P+1}cQLa8PJXnWM+_fU)-hkTZf_MFT zL9prVn&XR=Mx`OysGq@CozV-Bl8s>N{feftD=NDM$nJiEtOtYI${p@!Gl?#@$tG2T zpS1_P3P&$ouUyIkGi+E2<&dib33mD)HtTOrw-R!(D*G04bux(3!F~g@-p?<$jhNE*8R*yA zNRZ+EATE{yxpW*@qidir9#Vfv{iJ~u3Lb}H0`=f8^^T@rZ%6J83e^+9t5gJ@+eiu~`_R^T~K$YKef z2j_gn0VWnOr+QcLhO<;;SAhLwF7)EOhNtcQuWgQ@k-_(78`w=hIO(LhX7Xyln~WggQ4SR;5zOS)jD94a*3$0NAZ>)R8Y9wckOurK_rB6G@~u(JhAbE+Q{~u==P8fpz9RdVmGgkR$7|!wp3Xa0z2Z_y^Ikh8f^NII^tmM!MDs;WGs#dOV?1Kkc|?8-+)-sBj3R*kZg|A-_^E^qf>ba*(QjwkEnJ1XK28B6C z$*%sXSTX;26V$x zDp6{KvEFxIv9{#gwMy5We7g>8=%IM=9i+s=)_7laba0$(k(VFq%LeC{)!H(2<@T#I zi9-`69P8N?Q7)YcjpyGt7dC+Hmp`waf1PYi(yXP0#dBs#`WlvD3uBc4v#%*sIZ-p( zlGZWcl`oBeci&ST16S%MZRxRsuZPIy>2`;QVlrzdlk%K#dV6L-zc>;)lg+K(=EB zv-0ea?0VOUHF&3m6U1kc9yA z&aO2j7)-r*9UyAO`7N7mdJv*$9L3Z%>mzmO&?a4gQPcv3n zElQ|X-+b?j{WzNpLGv$XSmqV~AaJxxRC>5XUwa^EElO;$e4yK_X(d{!GHPeR_SVk} zoLXg(3FN2#4d?ZNR`VgH3y?a4D5!j@RQFL!(0$MSd|8J?G>78UVhBmTM%`;Cxdx}t z%{{H2hM)#SJB%u!Vp)b!rF&dE7f;xA8TYD2A#aPcd42+cB^kmn zNt(P6LCcq%ubQIL^MyJ;E*uIEs6hV?m%~Gr7aRq6JuWp)y+k&h;m*XE0i0H2*1N=*pq>N^!dQ z1J!m9)B^&j@`W=akOtiikTgpI)?rnpDrp< zP8y8cK22-J|8B*?DF@Al_;Q=C0`1hV=iVqg;128CT>^LyAU%LM8iW$7xBA(4-=_ge z%c7N|UMDa2TgJlZ#F{Q~s1@3}U!>=P{jN^!3pK8Dhrl`Zs7sOD*CyA|t(uHNX_@It zS5>JQG8J7t{uo(aG+38^mHorvw5?#>Y{zj(_!N1fsNGzDru!nDO2p{^XLi3V=4y0_ z-D!Y5rN0JYn4X+OK~%>G3~m5+-h%|pKCvZgVt+TX{gXMfect|%eWLs2U(@&Px98eB zrpx@4pJ=~u>I^2&Y3-wLWLNpDxsw|ZH@;=q?S^Q-t2Nr622Hhi=|eAaQkJ0<585qg zoE;js3Y3h6h)e?JVQFC?mm9pi9PK-Jfym)u7uk^aK?@MTUE=|6u{%g#0(;H_0UG&( z;;UZ@Qu@sR@u{B&$d2hB%fH1?588>ys$ag%98CnYtRE_0ls2q`O>P6_Q1|3AqBGnV zJuBNiRHGgWbb>ivwzvUY6V1CD^v%H@dnDY+l!B>dF+Mg%+?;iTkKaFHHMC}Dbrb(A z54xi02Gu{nAlII)b!eLAP5Du;?pWf_Lhd?=`0lOv>V(OQTaGY@ak4;o27 zmqlNi{?xY9xplhm`F;na6m0-*NqS3e4zvq(UOf4d0q>>j{9cw4pBp$otdnro^aH$l zb$!u>v6JyaAE&gjwQ&FOp^owIg~;dd&SqR`eOX z4Hpo{!O%H5y*HiXL7unpBSgCf>UA<5hv96u%+LU*^E#3~M5@W4$*mILy_;fH9tYn5 zoaGnWyLt=e?NIs**Qhgpp&&i4Ti(3YNbYNw5qzsO{4DNAYa+?7B%s^3D0O2>E+Z z0QBzqtSZrcU&Q16bD~~cHb!LvSnnW1^bJ6(u|ugnK2_%IpiXArtxyT(1QJql^z+os z$FDWzV2@0kSv8$aL-7vqi%sdp>@zA|bzv(5pdY`#PXYKE76|zVL^DTYiAaXi#YTHU zc_;x=u&`CEh>cRAQY$TIhGUSh!=m(QOXiQ_-|1q=iZ~o5iK7tJcW%lW%uSBrk%BD9 zJoBOa_cgybNTIAdJ=(ov=d?OkU6G+TQQ&8&)EQ^*NP4azlEa8qd@EDZfRyJC0?+GI zQ+VG3;N+5lbSK{(28COgRde(lSJx5_fWf^DVk5P`IBQXi2%8TNqQMkC}ngn?QaU-hC#tixAl1J??~U4X*T_d#E6 zz`Md;?3p!x76ai^d7Law1#gP=X}#hY&(Ii+!pG`A4EQ#RC^JF@!6d%*6~q8d5&t@Y zxl6Yf6f}jrO}m0OnH@`nLq|CX%|s`ktYUEL`HBsFsNH2V-rJ#aW*58pF&x>G z-j5!qS7grl2SsH=ObHx=4#?Wx1Abzwi3U6AgsKxDenAyj;|;y{M6Bnke>#gE@m7e3 z!#7*Is5WS9=f7OwnlkAG$xQJ~YX}m1#{`F2iw5Dh>0MvXZ$?&`Ex968 zls)?LuVrol1@eD?f#1LV%T|@B@NoGz!oL@`aXS~DI-9!3sb&L{g_M(#uAy@NWoW=qK{X2uId@XEP zdi%J4JwZx;)fK=;ieaNU&v!oo^ye&Z*7AFrDW@$U1QtbIbg^aN<-d5&Vt}(viNYP) z&nYJ-`W-42Zs`=nJ_XcWrduiVwjrnfO8BiOt?x?S7(&31$7>(Uyh~7g4PZxkgXX#N zF~uCd$NTpZys=E%!+uaw!#M1NgZfXcns`#;fKN}Sg^gLdLjXF=(Uiuh<L41?oVUWQ^c;0Cy;rzF=W5`Wqm-RDhc zHye`S8f$}pE9|i%6M9Cm%|I|yHGtYFQc@4hqRxG^dX98R=^~ZlK9$^dr6YJQboJtc z4Ndbau;X6ttn(TfXfR`@IgJ6C7bgs1xfSEFe+sQ~P1pB0;ism$5#o8{~_wFgQEQ2xM2`j8dMOLMv+pwr6r|P zx|dGrrAv?w=`Km>?q=!kM!LK6z4`v0=Y3{pcK8Ek?%}@9IoGGIOp}(}U6y5RTrO?-owwEK$byrF!jBO+6t_;tZ*> zP8}baSEXC2*H{fgHL;+IWA&-cV}P zsCo6hcl*Cu3D{LK+*-$$@TVFw>WNA<9KTkwlx771fkIMiPEcnMb($&lc48Kj2GEUa z*ZH4C)lv5$qDh&ioB;o4bhNk%Z^wq6LLAyNkE=P8xmUW+>8FJWry>G#T=q#-M;^7x z=FJ1+%xWb9SA;*0CT^c4bIz~8fchpd}Ws1~5(1*?aCCZBvwXfuBP$L0v) zKi=XAUhWWzY#^HYJ)sDP(X6~#)A+|1hG<3wFjGOgGx2Y7;bDXd5ahS#s3WyZ?I=QF z%pDj>zqPa5gw#l7qzs{dwx#Z_Ob~`cQ(EQ47}Y+a&)7tk$b=#%XBP5R$riuONm6Z1 z{vdZz_tlA&^tLCtuB%Kre@s?6Bdos66;HS`{8X6x6%i=l8~Af9y(Y(Q&gfNpu8-jJ zFflx~+{aI&V%p$<6XM(102N2dz4T#K=i^10C(piaJT18#Z|Mu3S}cP^9Exz4&aVM{ zlu>_@N&~d<9c8s1%Q|x|G7mSyOHy;R50msoZ`uCeyA;ZKd6$Lh6mAgQ2fGo|q(;mm zd*aK8ilzOfhD8sgX55cb&Qj{GVMi9X8ctadnd^n$#XiqRH=@RT?1G*gc*VumM-<3a zJiM7gI}L&#AXd4r90`GR{)Nazh*ymQ~!xS3Zf2N>Vz=+8 z#ly4(c`!)r#1J0M_A5uYHj}q~lYNi`FeG&tZnW&GM6KMQqR7@f0XO6iAto=sq7&@%W6 znOob~s=wcr!r5(u8weO{ep6Mdl*ZnRh5ja?;;>(_D2emas4Dw3dMd1(ff-Tu^mxBu zp}tZ2{WG^(0i2k!jaSp*vgtO${Dvnh6Jq+&lAm0mvww}RmO z9b4uvYj`&LJLmfxAfa*QElEM1dGk4#sXWd#kdLPCqc2-&&ZqL1M<pr-#m!8I>*L$8+rQd>vTZW=^4VyQS6d4fg`z_8PqE|&?# zuk`gbIm0|2C-xW5lVEsb_Ko3AkJwW7BlnNL|N7*RwS2bMb=M$Fbt`|A%0t)U%(ZG76JgP_hPxR{0`%hjF>57u(s%~5P|cOeo$ zv#{AX8(@rZi=X@X@p&96dFnn)lqIdb!EwL;1CD*9i8mNa8kR|OzQ!I&i&-bAS;(RU z+(YA;#A#!_zWL{qoY{A!&Gn|^dxffv^Nljb>1bPE7|)pQuu= zoUKr+&({LZ^4<0P=i|?eKiPRXtbH>=cp4q!DE6j;YMFpZi=EsCGWu$^z|ORwW^wBK z;b7G$0@+R$(wmE3_4P{uh>W4z`DgAOUAG{DwR=s7>(ZxZf|GAGjlnFsGPNu9vH7ZO zq(c|&hHo8PTstv2|F9WjCgXTDIMg>?Eh*Rk+o9MfEp~!G?3-U7c_)J@cs$&gR1Sh1 zh`f4@j*d2{o+^EC*QCKiEa2JndWM)P3yq4(+_M*;#VDYGX?FdzsDBXll?Is)rmaNKBMCcs^3=gQer!Q7j2BsYN zjEUm5(ys3*H4&0M6DTK;d1*GyXQJX}u76j=Vt>nj4KjbB;P|jJ;4YEY6rr|7%jm$l zSea(kB`2H^x}Fm!=|s2(%MR!6$FdI8?eJ!#_B9z4K-YS)kb+4Ahm6NhGA zznPOGO5=B@k{vW5ez!r16#yZpSHVXWK$9j8y%fZR{j68ak<4`Q$eQt<5d^5TCPx8v z?3xkJ1Ztz}MWqI^S&^4z?s|Wy+GNAqw-m-416-&}_&Kk}l3^xU)Jb(5ex6MXcV^ve zI^!!sZGOysnF^q?OmLa)z9Q}7{CSpe`UZp8E$L}BXTx;0dJM7|#9s@u;mSLoa=6!S z5~@50$d3Njr^`~VfnYa=Ix@!=$tKPn`DlsRlmu`X0xUGX81%FKZ}AwsXG)CpFVV}C z@$+#{j9eUoYtt0NGnphd+L7gmyD$mSR7oC|_tsENDD&29Al;992)gpy_BGlsM-T8n{FP%{oLpkG%Q5$5XuTGw z0%jZv!g} zjf-}t(lnj*f0igNs1rkWmFG84)li9{$CE%n#){!whISg8oY?|=OjkO7ldD>w=!v=8 zUP0a;hu!h31Pgdcv2bED_|ACOm5=CYUY~x~rqj1Qe;y+Q^EefSG3Kl${l$0{!#WrA z;R}2+d{esnnFP-lv}yRqPp8sV>BuAZ5J0@KAYTGod0Tp0HKk8v3ZYrl0?F#!cj;T~ z@)c}tAI^Gj(G6oVgS3piZ`U&d*#f>>na5dTcgO%5&hyy1(Jf2{$do%o!+g3OwGqRF zNF*LqdCBLiEvUO@rNuoTFI5ME6>=osp}XeT7jMZRpR~cDWn=$zS~ofbUa?*>^IFqp zPQ1}x$jCzS@Q^!uswe(r89ysHb2?vv0?IvL%YFWxrnVDyQ?S+5M0QV9cKBy&Xafcb zA5?4=pdlsv;lr_fT;%qXfO-E8-C0}9n`0-4v3}!s9lRxY6qfP`u*qRWu(hFIZ$K7b zQ8LBgkd~_H-8!Dn2~P-noq=^uzw$k;9!-0cPR;y8>m=bpVWR4QNsulfZjVb{-E|mP zEWU(lPq*SM+lfAk&lmQ8b}1XZEAΞd{U_@2%#m-q28Fb}8Ae3t#Sx31?_K_1+Wh=bk1@n3nmp(e^{6>?zN9@iTWGPr98|{bDzNRX>=<*HfT(2vB1IbY@^Sq=vB4|c+)+m zVjP~AAK;Os^yTU$DamrM((|CEdOL%2XE%B21L4=p6@WZ`YtH>RJVmN=!%MBO&Ys7r zi+N51;QU+~=zX1?_#x zUZZIn&Q%yKWf{JZZ))VHW8!3CnxPGeF{Gf^;e9eJ@EL79$oozC%u6&8PE4;m8t~vP zN6B|N{*8EzPL7fqPUb793kr|Jf!NhJG7Ku4CHtzLJaX<7QtA9Zx->xn_dtdRaRaxY zfvVPg@b!w9uK7&KVcKv_I>YS4yhW+HAm+di-f!?X%4L(Ce{n3V^FPaR?|$Ul1awxH zTzI7UEU@%o8sCCON&p|v7qeAwc!UE)9!~VSF9kEY>o4qC8DT;lv>>RnMt-&?UuCLG z-@^2Xa6l)3a4{s)_1UcXf`nhg{5uV!$6%IgcXLJf_LzclhSg}s*E68E*iHy|gYXf? z&{WFfuoIb`PEFG0H*48t8X^fv&j#Iwpyhy6Ea&O4i3%tAo^DE|T{rX>U;sflvFltS zL?xY|w_61$Q0}{Pm3eNT90ZnbKiN)v&l(Qu6R$BVWyRZfj0KB5%qUki>@%2lyccu!ELj$@V+b&kSzQ(&-&Nk#E zt8}SN)+C-Q7J63`2u4#ojDI#Un{!xl|&ZILOCZ+RlX0_Iwlo*P8#zoEno5 z@R>h-oy2*wQen8G8DLNuF?m23_QY6}3Mho;Z8;zBM!cRVkV&C>HAGV;t2GPO(X1o9 ztP3uj@3qSk6I3Shp5u97XO+3s*M0pTgM;x<&`e+Hgr~ngTRhSofSL)*7$Vf z_z?V^276oiU?evR79KW6z|Rn>dl$RjdZ4Qcqt~&^d3}-KPr3BF*d14BV6z6#6OxSN zWrZ6mob`}-;jY0-|z^x-iJ{h)c%xP`EK1t~Uv`Krs5XDyJzH?NXp+ptCQ{qA5;_4u{%V2nx2 zg9ZctgCrU+a*JWQ$5l{XWheJIpsHA_e_}f#*r)9xYdvb%w_FCQMT-!@#+x3Hp!%3zH$UC& zSAwIA3+R5pX@3kAL(#{9uCOADcX)Gn3$CTi02UOYGI4kN>5e9!fbZ!*97BHf#bo32 zjOa4sz36RPZxxF?ZTI)97a!q`?FCcfWvTd|;h?-eA5|T)Lfo0Kw69TEYC^2ZB0GeD z?2XQofNJN}h@%D4mY=13YjE-U@2__9)vvfdq~7qj6_hOYdIGdYMGtTb{iO1g3a9+di00n#4ZbE_AWLB5;GjPt{%Y30 z_O^;7NF+Vpq0M+LoQYNfaSa~K+Wrd*K?4JD5xsmUMG z#Cg%>z?2(P32qNJryX1yk-}JgoS#v2{&d!SlqV85Ntw*b4R*M~P`>63GAfY95TQ_oH|ff1m4_9d`&$qZgnX z8NrDv#Tws3-nNjT?J-{)${?-IzQZ?#9EFU5U_{?4jfW1L05^)06aiT8uWE{n^hv}e zNxpKXYZnCr^~mRuHxO|+myMSDqv-Vr0sgOH{B!@4N%h*mjQ+|9x}LX2gI(i6i4x8o zcuDaVgLEk{3`gxjx~d-Ol;oc-mp{uF1N|Qfq?%_Duz6pzk_+zKmRVFuud72A%%Q*8 zX&o%6cx&7t@NZf1XqeA^P=~g0nn5-6x_HU%3t{D@uG;tu6%GpdLR%y0WUT0dS0m7j z?l?wW(mNB7@aaB2gBG|I24}^b_P$GAwadEY*4S-W4WWCmjm}eMHXQ!Ia+!eD_-87X zjNA2+^SWbYdVVtzhh?DdGXO%nOPSj=c$YA!AjW4lBLr=XX~V-6ase=YfqHw(e?+B* z64%H&2*xbL$8s0#87JYn&*xhHsm|x;q}1t&-gSKv*I~5<%`iA<=Iyt#U1MkkUr^LU6IB-Q?cHSj;WAGG|-Hi(X+8z|ii(cqs`aL7N!51;AhrmOz3 zP${wuMB$|TKtX8d;j z=3V_(DbBiNZki1J`inmOcn0vUSX@{0SL=L?NbKqwxh46J%kx<)fv?`$;y;~6bzRzj zY@A+%waHv9+RO39jupFN)UO1Es;uG$bbmRAC!z2kqlzMtvc2#XoIu2!Jo(poctby^ zv1Ck_;g!9`$fje7zPa%3bB@)}UK~}$U!Z5oI~BQjTjCR8JQU?6b0f*XQuPBrC&Pc@ zDRD3xvy|y_P;N4>L$l)ZJ2^DiZI`#oh`-@2PHMys`p&+cQB`_=i<@Xg6inYGBo-CHnn}Tr_D9F>PLz z^a1>l&iXZaEyw}mr#R95U)9oZAliic`w0B4fMTgd7X0e0am^Eb+5KF`Y_=>j3>oW@ zf*B#m@fdCQnMo%nFx=-PfmMu;19PwU>TqGf<9V#fTpfs;G4G8$T5QbPVT)uJ63UTG+=tUe;V#vtZmLYE)1M-YX48ik8Y zMtYC`T51a9{3Gs@O_`P{Hkgg&cI^7qwMd(0n;2fa@7Y9cw4ugxi(<1dzM0E0@TF#L36rftCnjEQM!57xZiy{-<+8-4AODC(6!Z;#o;<$V(W$Xi zPbs9BeYO&N9s&0EHj9h|3qkzE3l5y-UrVC7Sy)x4^!j5VrwO0+L!{lQWBB{EH#Ay3 zn@Ji8A}H&3vO+9VbZUzpmY=NwXK}y0944pjETQte0O_w{#rkIgkxl31U?Gps99D6j z*)Yk1rRzxkCGI4!Q{VbD?dTPdOrN(EndSS$l#JC~9fv?dx^4+u0Jn*yD(zn$;c1kk zGd7J<`CnQM4Y((nBz*}OJ_js&cygGQ%wpEq5yYPdJeO&%NmpbD$>hHbgl+xTl-0ju z5&IR4CD~{wmItU20E3d0{H1)ldcH`TkHtI%%&1mB)n&J#y`N)hA=o2`R%Ods;*%Rd z^5f;_F*5k@+<+cxu2#0L_6m$ zFAr)(?UH9r%eZo{IQ~8K`izkz!)hRo-hj8}@EWyWpIvaR@mnbOe_adG-xqjR^i(-D zES_O9lI9dyOx@{S6T;Xs3v)48gA2_0DyVG{=Ad%|y>B~AK0=JeMw^yx;35K5*@k0N z+bz3n&xxuub5<{|Cw$cg68;x4D{=Ce4;4;fgPwZ|`fl>ajemrq5zduy=tkkJ*J)L1 zEa$#CzG-q9%M#@Xmjpz73hn41=_ayOL{2tTMZozIljbn}`DFe2kK@R~3lK;&^<~UX zFoi1%^Y4$~zoQu-(YN$Ly4L?i5=Y4gjl?NaAJF?C>&|6>+t6Wv=TlgY7rI8dr?dYb zac4LO+zRe+8zdHoDB2>7J;AK$ ze{tI(B4AtEcx4q(Hx!OD$+aTSJ710&Fc$dAsv#E&@ZN^W zx_jFC2XHr`ZxHt5p%w3gnzE)cG8CFIH*$jiCsKIx4-f2J^}P^f5u;aow0IL{`};-cdP%=N0zG-56L0!(=DZwKQ^ zcs=gxUMi1UwR%2w{V*B;vWtogWerG31@}Pj&o7G@35&)&DFvvs(+?<6&$B*i%?M&T z<_8g~lBBndtj|;UMyEW&e{QGvfOdcE&L-%)N-)t%gG2eCdscePyos*Vd-WQ-s_q)x z?z;)VYM^!izsynqVw*;qR<2DzElWI}0-m}!6BJVQ0Azx!3kt8crRqRT{XSWNPr>C1 zAK;}qY>DZ9j20;6@$PG?)twP1a$!ZKr;Aw0#$lbqfk=5vV?TYbxYlWLzcq}%u@{v_ zXz1;F^)_ZSP%8dU?K<#3?ftV2*HUI2P@?UBD+JI^#qSZ6LrP9ajTwAQ&IS`%4{0$X zz$-6lhbuK;-{Nj#!eEDM#sz0%+DA8V!Rl`9@MeXl>Yex3!x$ zNUZe$E&7V|@RzfnsK6Pt$FsXW5!P(z<3=v2_v<1h=0LQ5ASd{d>c)*} zjtpM`({#l+3KdQYqOxXG6ceAR1quywPICZqr=yC`YhY7MMXCCvtQE4ox7_FjkY-3`3Fcy|#5jM2ay zHjNR7AAW($hC*fpB}UuM0sgNxcPMg!+c|PQiJca;Hs#dqK_8%S@?E@?ne~ip0FSte zu~zr3N`_~rpCA$D5898J7e)tuJK#WD7K^Z;j@6UY_MPx@#PY!(V&B9_B<8q>N0~;{ za?LopnCaR@+WT5*>2!rG+~|SiM_^i}(N^12h2xxo@cTLOPo%Rf@sxK1{}UF`WD&UE zmK$Ia3D@a~D1hemUXhDY`{uoYP{EzrFhTth&LL;gP%&Q_hP{DH;FM zM;mC@5BTamH1QKN>LH}?tKDiTYLsCZR_{9!lIxL_kGdc#qj46AO5}8;sZR4|PU+pG zrU$WjI{1lPs3dQf?Lz-$K3mN@;CHXQxH;7?WDL9&bsK(LMxlDknI!<0n`&sYHA#bM zK<0;rUa4F2J{BpQFP>wHW-6O-yYpSpa&|Mi`#9Rv_$j=BieJLd9Ij0%j`E-D_X4%; zVFoVQPq|GXVoYh~a^hpMFB(|I+ERC5o0=uQY`^T(3#XM-exJ&XE{GAFyQjR$EG zyRlpL_%WbG=GXTna52m}`n<=%;XW~^A@=_zt4+r`hKz+L+phe}oL+K0^QWvAi~1HB z)-K#2K&8}KtUCl;5oOH0OOgPiVT>6C_Pab>;M6~mzb14R0BR+hw(0Wq5rX{CJ0nyI zdb+KY-o(mhMhzh}VAFO2ItJkRO^)0S_8Be6H9LpaYg7C6$}y@UJHHNbzX%0D|Mts! zutgnjTdUQLzAbJ3D8pEAW5vA=$fiFav(NpsRC=AVZrFe$EoJfcJ z8U~hnbT+uk4QJ7w-9OE@TggBmN*EYe-$nbQJt#W$SPHfOqXqb!AejV*yv=e|C#~{s#!a zfwU}4n`h0x=SK#uNof)6*I31ii$z2q!d5Rh5I80mMn;gNw5Vw^ITvj%)Do*4{1=UA zu(69P2LiKx7JitiZ60b8I5AHKJnf5S%M{2i^UGTMRpe+W;Xb}rKiWU?xfHaDEnZ7T7Ls%57w7*ZE*{d>tBcCb7{6+z48CIck5t#KlHQ{HI~w$Wi24#cFWOEEGwSC& ziIh*b-4(3#g#zQ7A2q5fVxqcm&ws094tjV-(mgulSJmHQ6)cxq7^7e3xBw3ZJX$o! z;lq(ik6M;kSkY;u7So3}qp&VwIRf6bjFONK|MA|AZ~sDAoIjA#{o;M8=< z1-^s4&YQKImEFEHSDR?j*pg)YTxL3s`XwHAsgpwR@JP+5ZN0`D9tR zn6&bI_l^UEHa&Em&iotLCAdI_jX<*KGUgHva*#a;S0+@ZvPTHd9M}E>1^y=_CA>Xc z@kewCg!~GALSIl*dNRV!Bi48sO@*1Xoppbd3l!rb()*NtjMct=c4#rH9|iWFQ#FP44>JqmAy^0$ z7sPG&wrLq{O8TL`J~-2bz$Byyss;L$h#6fkZLtVaE3=z#e@5O=$7k#X^1Rtjkl>2G z9^t>IY1IkfX-^aiHYr^YV1apb}cR?XytwKy0786uF+O;sX=@vf2-q#lGBq~l! zVV(ub5$*Ot;nDOghqL9Kz8!@ou-AS(u$qq0$df4y4kJG-~{7e^o(YCQNC1u+T=s&=po`=rs&$pOGLMDTqxf=ZZHUqw&vSS zp8fk)dXtq*zKw*7_el(4V|?zCi6W)S4@_a&t&++N0m3Igx7R*c7c2V=$opmG3z3;2c1(YqimeaE>OMIkO(YrSL%C&w2B)GTj%n|hnRJV@Y& zd<+_unlTeu&mN0R+h0(wo{NnA&PLJ?_QC3?Ao?nk% zVp5MyNG&K1!$Wfm(^G{o-8qPjcRQ<>^Y3E{I`}}ZfP{)6k3FOU$Y1L`ErM`CoR=W!|M`?vJqS5>z3f<&iJ zuW151@Kj<8b?!On@J4vgLz~6aIS;<}3J7ul_kMkps`+CmNR;UKBuvD#gA%+KVMF2V zWNmcN(T%5<++* z@%Z2uJGwk-k@3|#&$ij<1z>E}3o-u!szgGHl5|@oy1s7DT`M}Uom^EBoGt#b*%+Pm zGTKkEE-jiM1}YSy#JF&;mLL#*6o*U zk<3z`8Y{6C{Grz%cg?*J0Ln_>gy@ zdSjq|d^pB71{kIJW00!d@p5zVKRJLJEfS?G{((uNHu;iPw_Jxq(!*+#M^Rw%^+4)P za9|~!NT`Pzuxz#8-yT$sghv$AQAx*)2h<25V|}mvyw@$FA!}ezZ*=?UJLA1jJLlY; z6WKKy?ipmd0-L}TCc@L&`TVsVE#;K!ST6K!hQ72IN#A9=^BsV!4mzkH3>YE4%ZTmV z6MV8rRc3DLkz1Op!4?_4_V%kjU#^W`Jp2UurXS#a_7ZN!2!9>IwMK3h@~Ymi<1s{e zLSPct#xj5b$4Mc^{5enWjucLD)*$cRnvp?}D1g*G*}**;!*pGHgf$eJF;tk@`=D9% zWKw?}@K5}h>82*!NYLP#^q`ud*b{3s>VhIp zcDoLQDk+nmQ$^saN&Ph%-!WC1=iM$xscoNgwD5ILC;?7=@nU=;-K^aOsm#gcs9o4~ z1pN%%+n;IILETCSUI&W=$)`8MW<_ZEndS|;6(Fky6+GG`?4<%}dUTiR95dkEK)jFdhu z%O}Am92U29OnKSYwh54_qJc3A-RJzkd9J>E3<8Iyuk(-j#b*`!=&d*%2iP=bMh>1O zpEp{paKzZ3+QZIgnkSEl{C?iJq#<-cCFa=>zzdM;bj`FYD+KwTfg8XEvUK2-?q0P! zsU#OBlg`h#aI1`ZblwN0rg>?qHi;r8R|^u<%c{3S$MgoldWJk?l=@?LnB`tx>|dPD z&>4GVp+`Bh6S}g&L%Oy6{W<({goLwa`=#ZL{Er`;j=Xdt9?OiiA0!W-@0L0Kf!4Mc zNv@ZM!2+cs3z?4sjC;&5Z)O<1M!a?BU2D(?j+ZfeIy}u;mU_z|?|2)lu57rY+m?Sq zW_DOT1m06_%Wk382D>=19MdKAtK815^hZKrcFmrbTwu`J+c zO;2Y_leQYVZA?wUP-i}F<{}RDVOu7>!5g(}uU1^5)*liz_WbR@4)(tfc`5rU-~8FT z=|PReTU)Epf}(=Pa1P7a*Ae~!v21a7v6#O+cE@wpea6byZg18ja@=pvPCt~r?pVjP zu)<6t6(E@P*`AjUDE5C{#aw_m0zdzb3Xtw`>He0}u=r70Y!=3lT`$^4Bp{W`?~Clj zvIQV4JNMnxckW%9iK-$D2;9qW@!tQO6j;|Xb5*$ey02|RI@Qq$V<`isl)0MLD)7yp zFm?Z~(x^7i#H&(AV@H-p|ABcMMKc)%!maeNbm8bIaiWvEz$T81$*-G!DKkGsa$l(#Eioo$hp4H?OOoeuWirC$$)jwLkERz@C*mGOQ{ zGh+qkGRr4x-01zPhQV8Ncj8M^ijoLL!BbhRmVFoNzoV zGLWmcE=jFQ#L%ywY6n#NA1TDpPf2X{$H!VI0HaxQ&R8gCf*go4Se)p>5qc%0kH5Jz z!1_uF@m#HGGh1F&- z?(%Z)f)1)Mww7LS;Qqc(HW>){f7`0(i|zF`XP0f?mR3HryNYDg^bLkxf+=f3w|`m? zL&!dyGu`~EaRif|Bpy?IA3FMXj5Edt8dpm?t6z;WxY=R6A$at`N=f{ z_btPyG4HDb*6ht!ahL=wT@2j28*%n@DMIg68l9|$2v>ySMGjDM{$?MKmxlQl3ziaw zj=@B>0Ek}hSO(1zlGmY9YDYrkBQx5E*#}nW{WY>yXVW#t0>IKIGCi7)_uqDd(>iq= zm11fVp&+%7AMpGdO-JlS9!T(%{n$b;OhP{-TnJVFI!VoBv=}6JR){-KbOl{_!V|?v z2AthqeeLYY`ccS*zj3Wt#hwvT&M+!Qrbm~J`+Ia}tTxERmu56K099d4t^7pTi+d{p zVo7lEfLtiZ9bc)oX*oNN~(n zsBn(eVZ5$sE+~$AI~ixdZi5a|$^rh=SEFgd`rboI-fO7>ua%gfw#L1GLK=272d=dFz*lw%$)VD}(#W0DT<597<_<`Gl z2v#cE{!i)u2%|i+d-|O}d&V?2I!4u0n|JwegyLoV#l8ZuQU$JxDvbKr)-<9bn|}_D4jh0Ap=3G2(V2Swi7M>o;>-ZEkI+<6#I(_v25wd zDMsF$?=oeCaew*6tgEKQec}IA;zMUaZLVzmHnrF1crwqx6t|PFv6{)7nMLJZT>{2db23jR9__~5O9iyhpMwNG1Jt7=Kt0O#Kky6x zn-H{4hxer+LMyoudV^!1hW{9TQeylDZ(r?Q8%P^2Ti~3S$;`Q1J7#EuHRIGLAKly6 zB=zhxg=vzx232~#6Ay3k>h>|K7+yORGu*yxP(=>Uz(vbtGuHM*6(16Gd*1)KboQG2 z_?qdx4qb>u(*WS__oPpIjv>NbZl(KS)~fp1;tXDm8b`1u|1p;1w5KuM>GgG3w;Emp z6pQ)dV7h1M zW>)XafXXbFB?O-#4i@`aLKUIJ(PCWf(@|{FJ95ceez`hO+M{_z6DOqRf|-=>tDw@o zz_F93W>esst-mHIwqi|fB7&Npp=LYx?wZiy*Qo*%&Tn9%?vTle6)LKm9^j7i&|?fZ zXO@ga8?d8+X^1WT2%u5ErKx#Mg`Li+dlx}!1N0R{a>JdL=md?gI8KK<$j_V3hbvpl zNzX}DBmffn^!07;2v-_&eG3tMv36we(?A^=#OeK`+BFPTfzGacbKz7KP3m zgSs5Z1sLe28HAw)S1xFPAh<xA#KZ%^z_ZIi@SnOr# z&^2a3s0zElNDNVSm`N1d6A+%jEA`_-huwGNo?{UGpzvha3n!X*KgRPxU7d&1CfMV8 zgvVgLwDDt&*>VY#{y&;V4x!!!v}5nixRcyeJJiMN>DLr}sVyTd|IXmd)XNECPWXd6 zE&be@H(Ht>0l01Hl}Z!l9j|#ZMsHlyapH363Z5(=!c78C`WYBfMR-hR+%C{El7Q@T z+`?7TKu-$tUP!2%5=!Omn}GxTD_ORH?CEB9yuapQ-cLKV7%e zENyKu1x7I&oo|msykTW3e2vpH$|U9)!P3IAsugMj2g!WEZ9!htY;eTEIp{;xoxkDp zB6=`C0Jx#9xThv&fn*(n{iG%bmjhg!=aT20@=Wd@D~EvC_~!E7TCnPd-8z)Rqjq~H zVe2J6W|dV8(h8{!V#Z~zF)f7`Slit_7>&R5R2muzQ_UL+32(x+#w_BropJTLF#~*b zD-i_d^H2!87||n$8P4wEnsajM)cpY5Hkif=;yZPK?7SYaXmFb(l;zCsPL&1iv3l{5G3@ZWC6? zqf?u?FPm^V&^;jCG}K-W*j-?u$o3uXKzRQ@IA=T72AkqBU==G0lX3T`f4sL`^#yye zikF1ZrWw6;eSwNFzw^xfrH+rK^`K|KRttzJRYw~Sq!q;!#{aDQcDvh@mR>7eY z!EbL_@XPH?@d4QPJ^?^^DPIi3`gyclO;{B7SOBn{_UF0ZkO`F%w7%WwGa-c5#N%s^PVsIyPMlr78*Aj7DQ8+iKVLch z|F*eBTb|>sj2&JdjyzWC8M{TdQMW1k_G09DUqafZ9vkUIy#2e2b7q`mCMk;QR+>?m zgs?yO_&k(R8Ia783b^ob?;;3McX`JSTe(}t_QAUQP2<2EAT>}1`jtfZWg`1>tcJ3N zX7jIhGdQawt}qvgPcGKuGb+#NgHP|jt9UK{hpaMs&Gh=r`Ro}*hsAFdCK zR=W8;EIlpzlx-~I@C6$3!Ut3AGZ_1TzaaMqZSf0yi}O5d$qa4!Ztld#FM70*r#;`q zbKEpx9Ke9Ehl$wYwi7+L@m}^hpLzaeHedm3FMg=cH^QvRLc)Z3Xd7w_{^-mP2Aa`O z+UgC!aQF#kF{HQdpYxGgdmoo|3=zWE}7%;AhBiqcyQSIYGU z|4Wxl)^V1o&gK?t9^C$nNZ32X3a34m9l@W(RO16r_cA>@ju0TWB>|a$o;~zbr_4bX z*bpu8Fu{TgFpiH3v==Oo7*)L3y})lzI*DT~=;Td_n5{9N@yI9DIlXjm30P z`GtmcgQEC&sf$3eD3w&XhTgnK^wFo~X*Qya)_K%4+KTLlzky&4GLJS_krx8rRB(bShQC&E-`a5`n40pi9Xt zZnT3mfz)$9Uj8GgFRe>o?RNG5F{gGc9}*^q1`uJpNxdTzBS|EK5UziL?5>)juOM?; z6PpoXijtHIMUgKR%1ECw5;z*3D9Vu#On&>vt8+2|B8o0MdV06%gcDunKF4wzaQ3LW z_iZaHka+{Q)8TDiB%2tUVu{ulR7LRy$c2b<=ct0vsb-!m3G?zp+#Y^Xj|lTn%+-8O zxS{OOViMSz!Q<~TqVid&upQxNChfg%omdnvVZGusTf*{n{w%EMG3&T5a2)o*!t| zhq4_zcvtb)1S=OE(N5xg`V@vkYAPkH&i@zK_XLO8%Ul;}5-&Hh6|)Cy$JZK??R7@e zRRer5Qdm@MPsxY7ob{p<*NbRJjhh?~d}(iSy5Yyv__X28Tt>bTq zbUW?FR}z(cU-BA0D?51E?eXr?${iWc&;C>L_A@zPX41VXRMgg3a!8ITk!Q{mz1=@k zN0`Tki^H|dMO8?HM=FMLD0UZSjo=9X1aqO-&d*nwL9Um)sMDZXaQrl@a0yWbCUAN_ z30Nq$(7=#QG{;xm2s&UnYV^pu?MDF93CsrGri4;x*SjGDqt0$X7Z-}3$ew~?ORnfI7 zEeKh%XY?9xC-8v&j2 zzQG6pOEJ}qxmYm?fOufSbfno~wr^arQ6M;iWe$`ize{fow{i{1EY}3BsY)7(p6Wgts!E z6K68>WgwEo+>dIjE?FfJ(T3J2wDKr)G?qvw7LjpZYrK+zw1Y(f)1*OjNN+OjaVq6; zGwr#Ki)@mPYuKc~VG+&Hi3^$!$nG42CXyJ*G+Pd#ieO&ZZ6>IR2EG-8U55BaF90-_ zv)ITF5|JF*Ix*YFHTeSnKc>DiD#|wMni3HlLJ+09OKRwl?ha|BYv}Gl1VL$}yOEL_ zxW_YnQ z2kbyR;?Eq@cdqG-#D#sP3}g#5zxZUbY7(C9T}4i~dDUu6GVGIis5trw`uSaHUr!`S zYCe4+Kd#6ytA#mV%t~Mv>rG8qPXf*JKq6Al=OnHw39bPE0dD*swh70$XC;X9Ye^tK zAahtnu2+kffkk8B;N|wn7I540L^9u=`$NxH+y#A6GUg#5^=hx=Ex$(xImj9gD|;$} z+)IZlks#OX1*%bGJNrv50;$1BXydJZ-WWH)LtZpY>9x9R&a@7V$;}txvY3Nwy|#1IGYS8V8NKaE=n^v;?G&^kSH z0fj;P3+7wqtsjLt3AhZHIS7z%n+k%wUVvH&#Cot8v1%Ye(E;ZwhJDR!?-z};W!$#FVGOUImw(`W_CXxaO0U_oG7V5A0fR7F`@b{6{VvJyK6zBLzJUwUTmP6pE+xWO=tvM1JXs3tF z5>PnwLj8%((=oml&(Sf>Ub#P69Cx15uv^~540*}*!*geafiN#}-J5pvi}!`u34zKD z{f$7oWYU|$>CBgbm7p^~PU&G10pAZ;LaxRD*V@iR=Dor9Q}pF(+QQ4j#9#{S`th`D zCRYTA*n|Xmew=wWVO0{QV>a+7^|N;Ro2N(Y(b^c;gye93K)SvQ^+GaVe=(G*o6>8c zd0%}Z!m@Elnzeb4YG-AT+jz!qD3lL6hfo4FUW`!>!XBB|dJMj?sSy-*_jY3IN??vR z7`&kYgdp{y*R8t`wlB?YB1oCkwaa6lR8Ao_S|iiFW} zm(9y%kNG21pdyb#w!hV4WC_hMRG&{zyT5(iyhLU>1Jt@zyVT2SS!^a9sLF|EXYZLk zIe1NeBHpWXg?owbgI)eA$lp!@`$CdGm6Jl5mCoufCc^IMOQ#@grm zaDfFnf3@0s)$x-M!zy@2KF4^Z89DOn=DU-DY4p)D1t=I__B$$8#dFkya^oq)_KwU@M#EZ-ClvovLwFmM^d=a>| zwBG<3V;bIp3LfzocL#I{BOGfWFM2t?wwb*Ze>0WlwD+JTj0S*t8Mn6u-CV8pFKf1~gu* z3TR@hNRS%x5PBN=a;aV&tmEJkS^vuEa!y1fQoASZ3xs7QRxK4HK@Q$hR{$eiUrWJn zhIS3YoK z9W78``e^E$k@%IhvDX{Ux%}B;?EEFjN2*5fjg>l;S`ou>hzla?&KAJDh0tY@`3W1y zKC3A%WZXb{wbRVE=*{(*s$MvN5!d#eX`YO6vj&pe=f4Z^g@J%+#cli^#`Cfl=J=*p ztMykVshv;ZVMoFa?Q2K4arb!J!$k=KjC)r_XP(%yh}!nx`;K$K(im_rh|Sk8%UNU9 z*v`ZVkA!D2XWYo__dj6?^Cr334hl*0+!ll-}0$=7Xvj2yAuTA$Ci(R zC_*L97Vk>YbE_5Nj=U0$ViQxbm7$RH6U`D6x^YDCFxiGiWVcuqEdiK_E}+eidxt z1jsy3Z$Y&_a%0etXq6%~B0xN&an}BH6L~;?o^=9JKZ{E!PILD4e?oZkGmtV&XTAQ@ z0)V6qPI4mfVsg{C;moExWP9hV^7WXdTc*39L@iT=O*KPm02b=gxdSJ^&i!sY(Du%+ z&LqF4OlNI`*Dk^=YSDx3OhZkmO%OHvNCCL7}$=XZ2Nw_Ko%i?DvX zD{3^nQl+FBE|bnwBR$*5c2V{3A$fj)CmKe5}Sq?Qc01#Ej-8_X?#f|RGk9{6Oj6nmds1LJ1YWUtQ1opf>) zsfNAXG!V6iH;9Hj!_F}Xcjmbh6gze0@wGLG*>~;rpNehs8M*s5sngkT@6MY$fHX>P z`9unV#V2fEQ~)w4I?7<$E;Q)(WBe{g{CA)ix_1q@n6z__(`(k9D0*Gb<`E_lIFp#k z73>h6$M?t9$cr^E$|zG4K4%)lWgFvGo!}WsrQ&?~*{orQJAZ1(FK<%#58`fa!sh8l z8LIQ`%N5O`-#VW?Aqp8f5@I_u6%L3jmrW>JQl%)t4};X{9*x4Bc}=2vw3&#P*SVza zPOa(8;391466=YDp1{cyK+@^oX=K)s^$L7Lq@SJ>hBR305Ex;vNZ4PgNHp;9H+3a{ zh5M+QK>Cu1TS`4-IcAK|aVbTbo^7#^_H+3QeNq zddTKvRhFL80JH3jS5_H90K|ZLiq>^^dZ>GF%ybd|O;$u7_6ovDFI5y^cCuHEjbVVe zgceHXUoVQglD}nZd>`*%-o1wPq{@-kko}Fh)}!Iu5*{>K@%iZtTK1U62w0T1ZP1Qz1!R>I`NE}av?7XOc*E|v_3yX zXj1GuKKnXTQr_6_{Y;W%eJ#JRW2)22cHzXOv2A^k$80GeV+7Zcs}OQB^VyahcLX8M zshNdNF$J$8xV4WG$F*?p`LlPsK+_@I=jZX@JBn`gagGn zb_7BOH(Rxb*hcX$c-GX0yXK$AgnoMegiG#i;4|vYV~aZCl_VsC|OwkVDa8*1s%^@MVe#Q3{b9}v)A!&1D@Gi z7z@X3agW(rn$Gx5fG!rMoPxG+{*?aD=}e$6n*cKs>Bq@qQQE$HN1``xd3`RkLhw+bJ4az?6;MrR#Ffe@LNo9q%6W7ey6)4S&!Zo`(aHj0P?nxmnsqW-ZjEN^pzgAc{#9EZ zbH(R7&VddO)S3k);4o$Xe5THPbR?zH$Rdb;)DC^Xn7Jh%MMXoz;&HJH`!G%$S}`kR3*-tJ8!TF^*qmgl1Wi~7{5HR*w;jc|Ut494e% zUg9t6O#{CE%Ln-P^|K;iF7gi9TSgQ{P%F9hJo|JLy zdC2v8Las5uS7aTwSy^01-?OQG0jG=Yg?i}1_;FH@O-Kb#4ytfEr#2}WkLs{JT({gV z;KT0{UocR|0F_MhMEeMnM{m-b#QxPoo_V<}lyd#+z~+*7CVi~4TD9-__)Zq)$G495 zN~LkWGU3bt+IWE?)ku)~i%ejYc^p{r9=%UOlqf+4rS@5t_)#py11|A7-(ETg+Lt0$*@<|_R8P+M*>XYLbeoTjOi%r2mf zG<6}J-`c+Ulm!0or#Bk)OFk!1qb2|JEaob44tzG-n9OT;8?U6$laT$xkDYI_UE)*^ z5$tL^E@OY->53_ToahC@V*wdsk3JC@YQ4)ATsf;y#jh&i*oL z!)J+UYIKXC+MQw0K|k_%g2^gdTu0|VBK`4ES_7~MfwGx*ySLY`<5<3P_|F|%4#E^u zpZ(nb;$kDec0p<qWLF=vkK+N*2N?r5KPKoUH1u&^L-3{ctTls_qWB0W)O%FI4?;JCDyM2~s zakEHGcqM`xWjCFLSas0UH{Q6pueR}%DsKIv5WN}|Je1DDiFy&|XERfa7n|R|ubz~; z3;+8+K=q&G@sg|E=MZUDff$zZI%h2PHS%k`KD}A{m!ki;c!1of zjm1xGG{e{ZuB3cGc_mQg%{$}f+}3!EdB9tR*j=VE@%HXn-jjY!Z(!wGetCAo{^Ipp zaTh&UpzdnPKYPsEgjY9=LkLEj9Sg_5!Peoc++aQyH{p`=B5W?)co9Ei` z!`hRHa>9msMU8;9$B%?N*_TKV1RIoikeW;gA_Qnjgw{ALFM-bhb-BpreNzcd8WDhK zLet&8LqJ@V$is)5i+$Vob-+b753{Z|=|bnbKbzR!04gqMv2~*NFKdzmZh*HEjY-14 zRcxnMME8QY42k#omNu}aPtner;f@waMe1)DUVxeqz@hP1@G_4}a2Ltix8pI0`^`|( zahc)Sg>BVJZDL+>c2udyN%`fcneczQHvhZsSit>r{C6P0(pzu-T;+f3zU^ZaJLr9`J;q39aP}6o(5Ib-V$v#TDRDFrc+<+01(!y)#jp%Z_$* z+={+j5nnF}4034M{O{BC-F{~~Prrw}vOKf=cQ||^gG{9Lw!imHLT_wwYF^H>Ih&*p zsXm*k5I(jGK#__kJ8!xlAh$v&Sei6q4ups{n%hl$^Pj?L4+sguWe%-e5j<=@wJSMN z=~QQVX_d<3kO7!BmCtGert`)55igg}No{kbqY|FX5W3X>39_E`Cm#%iH=997(FK#S z2)3z1!P+f5N71$b3_p6cJ(e4~g5v@Bh{1Us<~Z(>SG;%sOkDu$hh4~9V#;2CdwXAR z3>6C+ugUK(R}B&y*Jr;9p+lzu(c4kNxRn!;|+jV;A-_@1i>x>^j&+ATKii4vn;ZF zz!LqvbW~hR1fqGSefl>#lRs6zSQQ#iAPk0tp65*rC;fHm>jjw7eSIvL%!WMLNCy^c zkt8QyygU$-mgXCBFMqQjwl%a#J_!j!`woFKS9bTRo+{JR2FOkNvng*KMj}btdUvKu z%;K`6OVyTt+X@sWa0%zA-8C=I{i9cFtc->{Z#4`kM{WQDATSmmKu$Iv7&9I7+5+5+ zQoyTpI7ltfs2AXHkjT}cC7nO*Y+PCH8M#eqf?0JbRrUZqoJ7E#?;X&?{@?(tomQ4n zO^FoI9|9D#;5qul6CBYxV?mhtK!OfJ^y$BTGAp0ba=+$KKXD;TdLlRi2O(tR&8bf7zE&ZEYP4%wbBhH8O_iSQgVQ49NQwd zpG-D&!_QF)eev}R3tzW?fc>_sLI|LB{x6$~dKzKLE;rMNQoiudkk*)*6uy)L_!3he zy$?SfD;n3{elO$VRtnhtVQROJMzg|DlR*+p_dV%@<)haqrtuy>&fQ}2mi(~2m$XE+ zpjS_V671l4XwvV)?qz*pWfJ}&#)i!`nnOGt zF+})X`{?yyZRlauL9$EXlJjuO?t}m4f!{pqvd(T=?L{4i-z|I@)?-68|I~vBYl1tp zEtYp)oL2;-+c%Zn)c6BB14T3qo@PW*R(h?z4K$m)xTFS8x>c!}a3jERV+&|UxeJ&_ z0U|O!u7I8o{0i{YWZ>rZOn*i?CLHIg2R@g{UY+f_1ovi|1NCrQs9EpOn zwe4?~FNL$(D)e*HpEaL|))0q_29Y0ie9f=f+u-2W^^a}zI8-7L@D6bOFjWLIu+Y%s zGj~-kQ03WFgGSn5#D1We4_f(hphTY&A+M^hPfT78w8#||N{_K5;K0CW8}Qt$>G6!H zK0Dj#l=u2gq};;`ndiDWjtWqC@&efgOj$sDZtH%Ri_(Cn4CXg0c#{X)P!fCR-;T@U zMjOz59|JoOovay|nP1BN7=H=xA#`ACK0*R?9jUgOfzcK;yeu^=EU9291M#Ieg3MrU=0&2{!H062oI#pLZe3l-mqCv!21HCr$b!VY!wE| zn}aD*oVVw&35mbvo^2l~bl+YxWODu`IJwb~2RYre^x;}t*;|UdHX8VW#`PBJ0Y0TK zlC(gv6!xB}nnZP=V9Av&OFI(Ge>qV`w$ZXRE~M{zr?U;U%C44|jG> z#%I;v;(uMxY`C`c-gxoQUlDF}`{ulDS9pixnBx#nLH?B%3i$qoE3TbUPe2_$*e70OJpO+K;WKcWJHqqUSP2H=h;`Q`vbqT&f+*%g9=`p@CMtNF}6YauGEm1d2nfc zV!GOKo2Rc&8^`nUvzo5(j8X1fpn0t-geO@Ql3O!De59HKlKD+u8et{i^7kcsM=fBG zExIjQa||^C>`%^s)THz4TcO^1E&NJbRrTWwZqjExzo&pITqZd=`8U;MdE0|GKj4Ki zl*Sk5`CAVdM{EPm5$^XjK%ib+!pe#8Sod~%GEGevi;X%J!V)^eexms{+e-IOfmio| z<%FEfyLGw?Z&HIEs`D#tU0pfA9ft0S8W)*$I~L_{7PXssi8I^am_af$ZGQ4{=kokV z@%t7d8)&Xa@uL;-{a~JmvxYiPv?i>`P8>$8$Pz>1@iX5#8?R5&oiAd}vA04UpM z-z$8(x|4l(;dN{P$vzyDnAh?|G8S+WEZaj`YKmz@w6SSTXZ;65NVM_~6b- zclquw&pyACZ)9QUU|$~v=}@d$B0uC1{?X zM@@`+tpDe`fcscLOKtRxYk!swZjY+o1cO1qKQSqo2zvQwBURl}HBdU_&S+;_t(i8f zOa^(Zn=>pB@43`qaxVGX$Mw#KGGf~c*BrKQxbN$S)vF5e>oy-9^r;nk`<8JGmD&XR zq_?cWWpf;GE|LZ?VLqNywG5PQU!Y*qAoLiu_ieHOj99+S?gnt1Ox;iLwV4Kkk?6``O&W0 z(tLm6W^QQv!DT{{H40gFseF%Wn}dI7%H;c{9Buv~hFCP>57psX!Y8IXqZJ~cdP_`h z+kBx3s<66(vi~CP6(TgfyCTV9+IY>Ha$u0_V#52)haiZkJDmug(ZB~R6jHr27)kNf zVjr$mo>GMt*7}*62vs}Eskp;%;ltl_u;r>JCyDm{K8t_3Lry~a44$9spI7rfXY`8# z{-q>~2}K{QT3#bclHZ~2E&Kb=_iBdHGcgUYo=!G2}ZSxalYPC9-Oq%PTr<$6jL{UI@%VjvQp3_meSlPMof0u!2J`KXYZ5fF>sb_d#VnmUge zkWs&2M*8m4Z*|T_TEJ&y-#chv!_>K>`AS~{<_Fmh>+%lJZ3McvO30L);F*L z(YFff`9_ePblkz#duxL@qBO(ig(3;PWJdE(OLvSG>}o1oq)}j$x^pY z9}$V{`V>hN9QyP}{xbH7(2M2+3&yK)ZOWuL+W)=#^hkzc#v73a-8yVJJUn=+o0A$T zzfttw3!CTHoU5_dGJlj>`TV+M%i}OW!s8pUQYOKmQ2u!#nglAMVHIUsTVpxhVZx>= zr_JR@@v7JRaAho|bcGfH^Lm4Vp4FGop`6mcertRPB3M8wbR5B+{{zJ#7BwH$!zU!g(cLb1l?jYOn2h^EKd4+V|;U?@LY zwWh)XodUH*9^QR#xdelfPs#I*Tq{q}7q$OG1$a2%lF6rK`rehg{Wo@xt=qud{cZaln_qGJv z$Gb~*ePm=|$Sx=w8I2yOwqB3mn>tadL6)nbna7>EVMGE+7@sa@?>3*4Y=5DWprh@c_2NL`0NXnkcbtQNYbjnM*#c z!50t#DIxE(ETHiO{vjhMw_khyC{Jd0Tc}tl--N^|w?8mRcRFsfeITM`Gp+G}%feJf zc%P6coK}#612GVIS>z7!!<^lw8gN&=?r`1_qD?PP(p1TWubt@9%&(qQ+T`Owk0{%N z`*$+$gXcHisI@g6R39?@mvepfuvqHDG&;1`Cs**EFl)P~re4g>Bt0T}pW^@c)QOUI_G`MSDM^i(QjCS}4i z(}jfGF*Y*NhNp#5!r7JyaJH;hI*6Pe2H`0R1>jmt}l7r3SyV$ zZYWt;{X-&&oFfC?c(lY8oIfzq)LB_x65SL^=((-OTa`qHkv^efXnQhlkM&RmY5qM^ z!gyelrF!>K%xb9=E(z4M$$g%IdL*6CbR$<$sq>AxqAPRl!~Yh5+Spf~KE(#1kcV!? z_{0o%e-fDBPITVxsrLqfWG-=!a%Mp&2pBQVklu8}hrufO2(N8Ok3We*@{-|Rb*7?u z1un7Fo#({Um%Pi>-ZS=`20MCOv##%wIGqG*t)}C#cG(bdJa^*E&k~~&$7a}Cg3F0! z>&M7mpk-?50Fiu{3L$5I@Axn9;1J8n%0jrnf`02nME=qP9?b+YOfw1?eDwonJCm^I zBm$c6ncQ0?i7tFaEr&CzX4Y#CA$`1cF%D3Pows~`H+cJV)rtLsMX+*Y_*kBRw~F`7 zI{y+$W+KBFe&&d#Z9ZBs2nu0qli2ltwB2!=ctihKT^GV)ph)kJO`m?5LSY&pCsgss z{Mz^U;;J}lTH?P%Bl8Xgd@yH;1~c*Am^hy-wN`Je%5>_+H~|tL=8KSEtwfxw%M|79 zM29wMBVytBR$jZJpd7Tx7toa6cbg420AD=qa`L-O+)N*D;r7Dg+^UDwaRJL2P))n0 z=%dm@1AL-L^QGS~XCwDS&Z$BgS*?*UK4}@?SfL=rkk8liK9Ahbqe;!IHG_vu^oS+= z)S1B7h<0L+I6U{-na<8^C_g5V0WJe(-7Clx`xq7QM(xuCDCbj<9!i7AK5Fm3^pU0bM zCW=y>i;u=@qRnN3aech@^Z=1 z-B;Mqd#1#({>%rud=RM|@?o;LV#@B_`3rhfUGsm?1s-B1h2t*;Ag*>(dfSS#m$AYX zshZqssb;%3&yREzYwG_wl_J;0h;_&B^R8&q?nK)D-UR4aZM59#2#rifD;B zls*cT&DW9_rIn@BvD?ZOjK8R+g;&Ofej47$$I4}RRtIzkkUvH8xJrk?jDhfh(Jg+7 z2TdYJ=%E--p6Owr_wr*cyU)y2jk2}R`=!@LxSeBt;}qE5UHBlHYUCSo<98|$?=v^Z zTNI=9{=cW=ixJAwT=SF?Zr{gDrDU##ti-vKV#R@kV?FCKopkIEhK+F#E=#_IDe$gx z<*9{lHWQhYE5I3v;P)(w35TqexF?MLsN!g9E3m^Vn``M|NhORr9~k_(>9Dmt6Ki`f zU_Oi8$`(3%CHC9=%NkG(i!1vc;rLyzesrA}?Eo9J4)4F&sfX8k4?d#d9WE+IvFeI3 zlE6hx+4`tj+ex82MhTyU|;tC@{a@ol-nX6 zEy~2lPaMY_CJPffO*Y;gFF*cTCEdW7Vt|4TY^i_bl$?JKmm9p%z#ZZew;7Q{uvn(s z{@d1X`o)F5&N88*=C)+Wr-&j?*C22=Rh1ik|Hj|%2adxY1`qdd_RwJnyu;bsZVV2q zMpRBrSt^Ja!hGNq(?P8>J!$S~Mx`mPD zUMt&W@0Vbyx@&>WlQ1cVi1;uj!_ytcgL3GsM`Frg3)dF+wSCuhDKR$4Kc;e5e+#D= zoxL%I-*;x%j+Jr)6?$C51HR3Co>%Seu1i+V>bvg=@oK3`imp2{$Z4-2=P{%$S~zIP zNRIqA@;}OF8uHc2J}vLh*S7hk$u0YSMqS|k%CDTXn(&!a9Yr69-mCLl@ZHcz(IzM} zH;B!5?wnAl=>LGum~`OGf=SSRts7C%>eY*srMl7b&gmI*LfBTKlFJ!7l7s!MOce76 zu}lKNz=OA5VcOyO8%Nkk_Wq2KebH;pA1CLl2ehX?e9eoTnsKv^N!#-tDK_odJD&Ki z`KP#FZf5t&IP;9FvE0GomkbX!WcX-=j4i({83(dVAd%PC3j`&3G;#n@Do-hx`1HYD|WC#SdFgXfPH z2rQQU@Po>pYo#PJKS*@l3Rhm9?Q?|`;QM!d8{VHQ3JpWG*`Gv&_zBe-dC)I<_@d3>FYv6MH}cEjM7?oM-ly<>1v)BPH% zi^J=2gI9Lb)manJ#X-omdm9h7vMRgWdiKA-fD)Sz1(Qs~-n-JCgIcc=Uylurtc>|>}^ zklJKe?2JWIFE-s}vNd9An5u&>=39bs1u715BX8_kG8wy#~&fu582+z!` z<9VDS-5GO=ZrB9xe4nl#Ymlo!{PRNv2$6!W$~b65NRHrzSFRZ)*2`YQEJ9uigm)an zGrfKUJ@-BC@v~zxmP#3U4<3v142wR0;zPnk({X0&?o4%$A0Iw(ur*97QOxD(RP!&F zykUH5xc}4J5xv4ra_HrzofDon6#FD#IkEoBcTHn6ro7>`@HeU$HNXAG#)OWchr~A$3ZR2ZLlxP3mO%Zle%2kb47cSk z#82{RmAD^liMZY-gmi2HNb6hZ0RvKm6ar=_C&i}I9@Y9Tjz`Ez8mGZhB5I2saSt~C zVaG$ah|qhzhijyB&fTgFg>;;FR-;@I$*giTJKvK>E1=ln4&G<(Pv&STuiJL}@6Z7J zjEYj!Z#xqi-O7+!THs&A z#zgrgTcer5Zzo;jr+-q#qB~MUVX@N-FOu$|p!n*2qL5E9pHX8*Wc1s%;h4Vu?(D1h zl6oS5Sf1tPN$9;JZ7f9NLPz8!;lS~F=~Sme8h0$7Szg(ff3Zy$2MQO6@LK9&Cur>A zqY!SrZK0{TNfgN+Hl~IqezSUDLL; z`JTjPQ?tUPgG}BGsmndX#MLeC7lDE5e?7^1umk$P1-nKXf4$hMZ4?ey$z4cE_4W%G zl({WO84FQ)Wgly|#{2joG)sEeIhg;TS?TgV6d~$uz-%-``)pU-BZ6R~4c#j2sipP< zEjZ4Kvy*G<9Hg9NO`ciEX{oFZ^w8W}YQH*rMu0DumvZ5Q%x?k;UJLx4!|=pgF#qhK zA_ccU;FZrZ3lf-bBYmB`c--VIWiY~BkV@Z-YiofEM@x#Gd!36s z7?K|fRMy)Tj6#ri2{N?q`u#+!#Qj5j;Sn!j_y-RSIN-sPWC;l59ZHZ+jJ(JO*GC!cuuuAk_$PfI033 zKSb=ggA@->-E8Jc|NKq@>WwT~n)x55InsDgekz1e@g?%8ju(GUzsQ?FcE67F>JhzG z-ZtP~W!c;zg77OecWhO#ES%jLS)G0zQCo%|=9P0+VDh4;MNjZK9`O7a^>)#xavUx_ zuiH5e-EQA`&2`jzs6O95+Bv&Mh*p;NAAZ87KvBvRl0OCG;arv)Rl2+Z@kHL@O~{mj z{Be+)ar)%QI+DMg>O*daZ^ico_TB65!*S`hVxGxc4M364J~6}GS4i|99G1Xk188pxINm`;&!rN$eTH_U6pTfn1G=l|m5*3i5lD zcm>iD7S@rb#gU!`I~QW{t>(z6N53h;n|&X$@qMb02}N;K3NNDm+aRSar3K2Bc0|ZpT@F52jy{w~6D*IsgpyA^F7FZTWaR6?Nh&sl4I`HZ@TSod6M^RI@ zTRexpqQLAfxRvWJr~XH(mK5;3{R(Xl@wmi|gWSSMase+76+jz-DE+FyFLSgxMjrfTQT+l2|Syvf9LoLJ1211k9bA}CmPM} zZs5@RbU8Ek!DFN#O?G0PA%f}uV1f|N(+DV?_T&lFLQ1qO<`a-ObD&jk&E)id+!WHD#&WfH{~=%TCz zAFv(!@hk*y%Cba%p8iHC#rdF}~aURdl0R-9iHnmlAOwM~Or=RR?Ma4-7Ml8a6W{WiFNlTscgi4~W%xHyl>b_c!!VA6LZkUmbEK!PEbRhp z#IG;1YT$7XGI_eQyU#AnN`gYLd6zZ}by+S`@Mf;W;nl5*(7Ip!Xk$T${Ct5kG?s%% ziJ1-@tLyV`QiMuK8TVv&THu_T2q>-}P)S?qeuNTqB`Dul3(#;dXO#LtgptufkI+jT zquT0kTFIEM91+~+K92I_dp`c*JrC(WG9Cj<6?`yZ4KLH3mNxf2$b4lUKeR+zD8Dr= z!0z{G5sA(YBPa1vSUZLW#`BcpTu>w``&WI-F!0ar@fG}Lf^oj?=?ecd9^1aXz38&t z-<&a-Bl#6!E+hs*zG!Btwe{xg8O1BtgSGmQ2g#MVSdz22I{a~!YSx|77p6lg(wge9 z>pCf2XW#>&@gT)o**X-^4}+1}Vq*zgg;SWxl(DXz`t)xc;cZ3DC%?Y9=ucGX*zUls zUq+XeDr#yF7mUZgvYEem32G2bm0C*r#Ec8p$YJ?N)}qziiq<|Cec5rm zVrn@=NN{Hw%Yu)RI<#=yla~sYsT&-q$kr0Vu)04CP$W6QC|=e+%+o5~N0!ioLEkEpb)Uu6`6thAh~4B~6Z_!hms+(>03*p5%zU-7P^R zQ#bExl~=}(LcPj#HzA!l$|@95r zFGt%QI>42XtEvalV218^dQ6-V$q&t+5PXp>!yJhpki?>Gor9xK4I4((&-elg8JW^U zf9!J}yBjPoQOokc_LYgq{%(F<&gQmAFMD2~kO!55)lt3pJ^#7eZI+tRI=#7h~=B|7KKm8F?O%^Bir1o5L7yzkxa=RMpVc|?oX)ELdh zNEjW9E8G(1l&jZn1oPfL7TbWHTKhl$2vsY=T{L%V+zyx0`BS)+?r%zTGa*qV3u6#t zffQG1EV*663>#CChh?=vg{4|3-!p+wZJ7G--vR_M z{Um|DwqT(q?Yj6ILb+oirKSM3MLFh*NmrY1T+Wg<4G&ChYk&63>FT8*$CrR?G%zW{ z@3!?bSEA{SDCwo63g<^*q9DAV0-KLFNvO-Vw|HugN(9s80TaE`4$F^U?1?$PwDR6j z+IGt4D0cI`n7u-afw_?NaGzlzMXR#1uSRQcy2cdqH8|Ch>KSClx-7zadLr`xaa%1a z_=>bVS&AD9(dP5?_aA0Bw%i^>SIQ!~&U$}!xtg~LyKZi&KG4@Br~#QWCqz^b2O)Eo3DBuY?oL#fiR1S%yTjJja~Jv8yP9ivkmd?15YS6l==U;*~pZ{RmWfTr>eB zwTCnykPh*klcJAdn}9Au&}okUQZITJy5%_;xNJoz>0Bp)0c=Q0%Df8Jix30Tj&Q|k+3rQDI=3Y6XKpE8ir8}@ z8D4wzGUFgj9%7W>-p+=oH9}f2(rY+ul#uhYS@k*?NU6kf{k;lyqBR%)b70(*D>Xef z&GndcEjF3NToVWO!eVsq+iyz+)B?o1VnRcfq(p(UiodL^ zTp0E`j}U$K%8gnNA@CGO7N&R*E6LgD0g8r@FU)#`JTjlZxcP)_Eid$o9dsYj9wKzR zHTGG)$kh4O5QmwbH&MFW(6X|Id<9zY8)!q6eV&{AAU{Nyc0Q;eg4h*Un$Y)~smufR z9Sr@(CRb6QDv{5%qc(qB3iQ#E#ksiZ-4=5WZNW;AFa(?UF!s29s*|VN7sjnDBzoBh zR^rTpFUe{SJlb;ZMi%8-?C-=(K4sVb&-Aw_Bya*V?#-mDk|Et1_Z&5MdYrWcqyIFQ z{Roe`;<2l`yu8P#BwzYISByHk+s${GkED^V>CRvLFe@7X*pJ`wS4&#<)yiF|e8}8+ z!7MB>b0) zHqXcuHCArWRMgy@*2pjxB5f=Fv`RWkBAL}c7R}oZq+5k5mis@l>}#PPbq=IXR+paK+ZN@j@dV$dZ?P`o}xt-y~m(>6r6ZV52@UJt()Rq8!ab< zUV>`JSash=?^aE8e>&lABy-pN#MHaZn~v#Mn*bprDa~~Xht8%^>oLCoTYjfeZQn%a zuPL0P3V9~=hgW*-=RH;s0>v&m0A31d)|x9s94HZzH^$#v;0$NndK;q@B(6`(%aF3p zDJ3O*?*o(0O#@ss@+wd;5t`k3YRef4l~F=2o$|aY#CG6f6gjSY0(&B?Kv<+W_q<_b zU)PVVDLbbJ4?0Uh9tLiUv}t+=F_S0c;QT7(PfO<>=*?_NGcR}{TEkl@ElSAk$Xl@~I!imj#pF?q9$VPMc3fp>6y)ZZPMBVCySh#n%`iHIF-*$yL8lM$3l0x{p?EmkQ*oYsLZRq z3KCLAx72q@uwOT>WOgGI67@%DmBi0CakaopHo`ZYDT+%3JxojcvLm1th%bLw6fHr$>6i4(RuYYWl- zVBb~V*{vb8u2xTq4Mj~BeA)O(OS{l7CmQSycv_R~_ zO5&mGcO0`sJ@d_b+5%X)QMmRPL8e2M0+*qyPN9xkV|;s{(O z`>Z*R^a)iU`ORjH40lh0+_2cH#lu*viv6uEMjM4)r+)2*5j12MWI^-efPdxUr zHk9^nyR-TRfoq6Y^c+Wiu;VPyVm=7urLyg@mnb7OE2Cp(+ShqQL6_gpis=xI2A*6T z$nO2aMo2oz!XDi|Fb*VUD_qGpn|^qdd1~g9}T{0q}LmRX;TRyiD2bwww;`; zM;qxC;Sfh6=y+KCq3Y%KVV8u_&H($^)#82Xk%%ujpuBNJMahomT)X&@VRn}K?ep^c zn-BX4rP~_LV&6h#UP<&pVV@WwybSwI;l)6cdXY&EcZ1dcl6f7ypDVv%IB#h4VedOw zgVj|P<;Kl>O-)|>M|+!kj`W8iwkVKi=3&QPH4*e2KW)*6r=GUdxR(I!f5y;Uk!|7N z@lNGBfLbKJ`%|zf7=&W_OsYfJR4Wc*knxJh4F4H_AI$QP!xqpyqE>@U{dY~VazTw4 zlw!T^53ehpx}6ZjR1Y*9wK(?oPNwUPC^?e}1#M@=GtBvLSK`;%{NWdc89R}m^vJ=g ze2gT9e{hM?`Ej2N8{Q{<`*`x8IzRlp* zV%=-P%zoYs8}mK({|l9u%-7P!P0hU%>~ zFcpfCK{%tlxD_E7%9KLlCBBDmDOup3rR#-l(8^pH)CYV8weqSfhhOejZ|-3 ziGIA*;G(KCc0MXInhtacN@KthC0I&6zHYl5aBYn^ZbD!9ts27&H}n++BQYLvq!Z?hG;Ukfu^=60K^Gi%7i9DCHKB69%mb6Ob2M zXK856k`&sm6|3z7@6xpvD}%?!Ag8`yb=&TI*X&}xjIt5j4v>ayV=T0k+(F{+|IQ|h z%_nUG`mz9vNhzB{sOkN6qMx>Bw<4EL7WH-0P07%vv!{&2Fae$6119`Hl`hLHO=Xdc zA%frMAsU@`q%A)uGFROFkgnOwKRS|_G?Dd8wQDLL+BhpsuyB-+ie`KYaI^K}VKo!& z_6=`zGj$~BzbnlJbuc}JGkI>x75amCH@V|*lewo&1#{Xa`#(saT*0mbT`i|f?xl2A znKW8$=S?cm8(>yiQ`j&oo-C0z5E{^1N@UC3>|Az~xf>4`x>;ul-9qDJc70PLqevUT$eQh{Vkd1Fqdz{C=^G@^CQ5d|qhrL(mL6GXsiu(LmQVS0bKV|>VypCJz*5zfftX}TwKiM<>jLkKS#=* zCZycCjAZ_)^*px`NZre2twzS}ICH0w=gZeN0Cf)$CMwwGKq9?UQa1_oqCR*)>oq=w z^5u;dg#K9=xNrhg=pV`V!s+cwOc)tdl&(r*i#)IG(E0wH9C6p*YJuErk^g!|{R0zE zfMh7LeT=T5e@pZw`&u{c&8wjp7ap{76%R7~nV&xy=V=Ou2{?CfW5J=XdWb;(11OiG z{EqcUv<|COeC((x^&E3%TzG*RP;MUkr!rT?_fppKnv6iBCOhr9bJ2pm8$1erpZW4m zaH|C|biOINJI(T(iDYde%%c!;OdT4h`5^ZE9u zJzuJ+5T$Lroku%__xVx1^+LtIYEmditP+VPe`n8jkKV&x%TZ3e-=j&)4}DBn1KC|wPgN?iP1O6$Dx2Za|6qu}_4j`EfN{>u7cj2Mu_8j^v7hEu(H z0wPaid=H!n5rLcc+bhQg*8G=V-AdIb9*DNEtUHx>xoggKqUn;_SMlEG z^x4O(KWr%2y>;EZx4U8Wu{JX&!-YGb<&bXLpqzAqUN-SJ`4L!;%LxC2e!e~&4;H-T zY7OfglVHWNVJ;btw#_eOy3~y+nI5F;;A6XOKZ2h4ddXI_2zg*-71ZHs)RIEy;4}95 z%EA)|gdB$}6Z7@OK!!$$@jx%j7gkUK-Z?p%LyT}g&uo#&~gQ0e~`+w8hC zD!_(jt%qfm%B>kk1EY}QSa{8?oBGG}Z_~87k%>%?Wn=k_2JSK;rM);xnmN(>c3Vt2 zkhi^$dA;xtb_2H`AojpX0p;LxR^{|;&pW;(`N3N2BP<6tBH?}Xq$q5sx52Gn366TI zH|9+*HJ>w*k!fK7`fuxKl8MwyPsmCJzjN;3pyEXLcI0U~J~b!9T-2+$GK~>1_fdgf zKlK;~r)Zbh4*=0`mzaFTO@aDC6dP{8;g+jHij>p@IC_Uk3@d@dYAe&U-9P=nxE>^- z-F}JNIG@&OBk%e!8pSEny5D}Go~Nuv#*o2dN**iun0?=-@zzy`FJTr0ke65;D@wmVv;BNxUBA9yIgPb9Ct~4* z*Yb#BRGBoVJ zOS{I|>*hU>KLa$1qI=jBFU#_SeP`vf)m zm|F9Xr&DyC^?s|wNPnY!x%szg9Yr*tBu@^A$u{EXex~>Zp&NRXTDJ_u0kMPa+9jE zN@%xDQP{f}spDw)L|*W@@cu4gCpx8~#AWkq$4ck=Hg!xh!6MGa2T8rLSoTHd4;BVj zTd;;K3>fnod>YqRl_q`!tP%XI1QT+B!eErTekoY?Q{rJT+Rbjnfe}fxFXdUX{C_BpP3hh>A-*)J9GiMq0E^$|T5d%8KLV%jVOo zh4uOK{84lw9J-M@LUcfoqv-7{%P;nAa;hn zck{O=xkE4Q0Oi7B#IrR5V}`?t+GqZfGHr3tk)-jzN;12ydB9%q5GQMDXYDmv@Nn}? zB_8)3?C+%7j9JO4&dae6tdbsLf^ z1^KIO%IINVRHM*m6e8cT3;pT+_UNjc&n}&ZFOCg?hh^2DH;0#$Xq5E%WJ`V~Sz4o) zolNJCY07%4Z;Ww}f7k!298om7C9g#RIau?Jmpq4cwfj1AA1qPm=;gKbB3>%u$zouQ zQtEizkS?GT|NIf^;bJiVE{Q2^|92PAXZ_f6r9lbar&s0++3NrmI2w3&PP2c2DZFm` zW;$1|jO6}ht^BS!()rO<0H!YYWVMa#ZOozeB(vHPE@O`aH@Qjd2i4@4F_Pai)eS$N z4%Xdq#sf&7sHQ@Of9q>!%;5Lls6-3+8T=&HaiB1{lr@v2^WBZ@vw7Nqzg6g)5mR%z$#!yuPY9R=YEFFZQ5~=ELk0H#5AQg=u)jJW*Jdkh zIcy=31#1GmiPCddyqgY*(s>v&j74E+9#;EK^P$hBi6yY}T=YE(yxv+${q`KQ zA{OEX9*0?S-EqpNxkwSfVO}#f9_Di{9=5tT&pv-11rYrY+M;`LA9asJTTw+hg~fUJ zHcXn0xpnE3>q6D|O~wUA6W+iREhJ0hdH?Bm?#b1%Q02z@~cz@m3 ztA8UYteV0lTc0SX<)8=_p21n#ikl1a(3lx6R=3rw9+#jJYb&+|;uA{r#OCev5~>TC zT=UNc6PBL!>$Jr`ZqW*S3HJFF4`4_T2`UpJ+0LXo(ifP<1zv?N42y@#L{sK)HZjc^ zr`dim&?R%$z&mZ!F6{Z~H@U154&(RBPwFB;Q>G6)ha+S1;7*9%(Gjo9FYEsCZ2Ol! z*-2CaAR3^yXp>Hxkd5z7iNGS7mYt_T@m`JLVULBNz>#kAe3jIv1B&>m;0a!6%2m62C!#RJrw^-BYJnAC-r9|Ui4eA&2!P^IO*WT>p=~2_B-+ZC z_fhVR252%+84G$GBq)5%KhNEi+A8sxkru(DA#Z$huOJSsKzGtfF)d zw5FuA0~|eC34imk46@9*rY-5|16wDPu07T;!T>QqRm(wl%Ol&ZK`ed$D4GaGxpz}` zv?xLkAAi-X{-$A}m4fG0kqO~-lRA||AH!maL*L6S6~eIBXlcU2vim|>;%2{PAkxKq z>U)h)XdFG4fUNta7^1<1nNq|)U48tc`aUq5W?{v=olOtlKF$7SQ9`2UVJ}F7LLat+ zCJ{y%{aqye*^8l#DT5h z(EZQzHftdZMmV@Z;ko`oUfNz6h*|sWES|G$*zROa&QTq3*Zqf^zi(LAG5h`;j^>$R zivGjFV;A41J~Hv|ywWaEK{uHflx<)YcYGvt4UlyNqLT#pTprbwa$+e1r*T z(xI%0MH+j?3B$d3#oXT=6Zeclqg;lO2S%*+FQJTE*y6tOUqs|V?jaP8y~6CKaBEn- zh-#TG3uDeQ#S~^W2;*HZX!@C#27!ak4_4<+!9*=S=g1jaUk~JCU4{xJuGeOc^2*?$ zUAT}aEa$enEU?%s+VQvM8xt1$R98A$J3ARhwz~oFtE(lyGMAkXWh`t$%^Grm3?s-T zMGX>)uNC=eV3;Rw7AOWXKkI{Ur>IdG5!=xz3(F=LMi}lcy&nJM{{2R%mm>)U_9S#(4Lc9sJZ(XyRGXi1A}SW`cN-n$qAY|8?{m}u{jz6nHKOy zG+#kMCiU{P-)TjPo`9ZxaugLG8O<#3&~Csn!<>|SH3t>wl4Wd~VDf}&5y(?PZdn<4 ze9-);&n35q{c6yYNca>5)(fj$-Zpo?RTOk3vd^3bo_{@psR{hb?R(RbJkR6=m!BS2 zW#N*WlE>1F?7FpGE_KuMgeLE6xPN~7uQv@3@H_S%0e@SRu36TRyDm5_rB-W#L7}U} zWRiyB;RB?{5q``|J$^nMq~Bm$4^8*&fh^X_G8RdV{^8KwAsYETM! z-SAV4Jg3RK=x*Z17@3zkpNT{ZBb)s+7)(MHU=x78y5D9j-KM|%V<8(KAD^tbsB%dw zMISREy!Ly!y`IbK)1%4K19xUqv(egeKGZCdeLFnkogk0sk}_f)`1s^ARAw|RSE|CP zW0#4-ujgvNTZsK9ZrCi-#uL>M1sJ=P09X2G*l}$Qn7LV#eU$OG#`$1GuG0C9B1hh= zLs5?^|M;dxE)72 z`iyEUMCoea2I^nV+sdNnFqO0=+}gN?DYR4Tu`iBSC6LM z%P4ee^~ZiWHZ2M~w+^%@CSekgU8jR9NT{&B5+e*^voph{hnYND*D> zAE1~?*mj+{(|eXcF|;v5ie_q_o9{`DJIkX8TNXeeYKL~=ndB^@NVgk`unbU`yKlq@ zJTXSdvPUb2Jx7d7H~#cY@{45H10Kti73f2vXE#5jo@Uy$6p3E0Fxb1M^O(5q<==B` z@A%M8PR!fqp-JN6;VfEj+GphY5qg&d#QTL1@cry$J~U}u`dqSh3bnqq?6v2L=a^! zvZe}P>XmTv+B*;hSlwLd#6O(QC-GI7t8b5A@n}lv8%eD{ zPc6a%R{b!GQ_1p-l4&E%yt(%eXi@Z6V=}HRTkmU>=2eu1D55!#lonRX=B$ejl7VTf z?G6!ZUt@v=XKG=Y%~L;8s^Xar4{)lIWbZLk%==R4p{$J1|7;7V|=DHlrGs zd;@95x&>b^f&9K1wIf3^)AXSmcv^ib{K0aVe%891&=pzJEG9zWpfmO1%OG+55$<@h z_d<%V2jX*buQf;-)Bap@Sp`?gM#^M@Uy~lO#`7rSBHc7(l91GOL@ipH7`52^Ax!g| z^+pk!aPp7W&OgauHtnI~fjbekk9FxEKV(T)jQ)WrjbPgOe%Gw*@w!mtK_+oRD*T5P z*V@M!)Z)o<4eRr?Q;S&w)m%1+s+G6_Kv0QOY(`Sz|MmX0BI5`-yhU8|Kc5|-T4ZkV z`dPBtHXO*nP|uT~Yw|S7kTO(T@OSST&h1K!XTXThx^r5rVLINM*VFHNp?|*EAmQ(d zVxKv%nav@eI+DGbhzNKfacMFMm(B(6jWm8a?`byeyXJy2!iSx~8Z6!$3jVez(tAc2 z0X2u=P>SYj!jGaSBgfdXIvc#E9>c7*qubSg_|aqq#bU5J5lmzCCsATosFcR!a&cqI z0ytOxstgrl(sVRtDe<3tlYXv$7eIR2Hk)aj$15$!@_zCVxCt-a7}^RMe5K!B1jb_= z!}RtqU-G1Lmh3k9$T2kUL;nKPi+#-kEP^Ci*rXpS8YtGU-n&j;k6T=)nVX$njx-}a z>Z`_fmn{19-}V3_1nN*|PQSzlZeV~~1|=5{xWg{|PTsH(p$nQ^DB|5@wT!{LYEU;R z1r~4_JjIIrrzYCC$m@@E0PBD^%Zq~>cEJWi>)6$g#*JoMg3_PVjQvHKKI{bkg z(&{_)*hFKfTJHMSYFw@T7I{qxoX3K~87zFrBWknUrZW+Shok+F9`>^NZS^EL3*sOmA^-%w ztx1jpw%DtclcWq&%o%ErfYFiUE(LgwHO0|+fVY8&OMeXK6_C}lqlhb=wWaG!)S6|> zrzIY!xkzB~P^`4}#5pe7_=^BBj9jG|bL&}?j!AiDEKp%VQZn+J;)tM2WmP+`N$!wk zdR3lZq@z|(j`2vFwX2+v$?efkEXA1eATagt0IuVY7|TTS1vjUH z@{#8T&DIJ^+x;_~2rMV5tHE)@#EkR$)y$gX%xwi|n9RN)FnrKDywqVKM@l&+99-Zu z{J3`g;F{tnJW8s1m3x35wnbaP_mALSf?_0C9G@MJjRzB=@>0G1GP@kJQ*-H^n)g=x z{bs&sZN>}U2#bsFsJWnF2_=x)F0X8-B4sFl=U?QL9775R^r;6rWBt?w{aJx0a=iMH z_nV(quRy(E0je$k$35s8mZGqRl~*&F&$ZYd^xfQOsFqq)N{@2c40c&&c>%sh9LOCt z;HVqS-fm_aHwUmVN9`5JBFInb@B_<0rHOVy*2hLY8I%S=tOn(|X9dRKR(<(4ER->( zQ}m2IQHr*^P#+qnK6(5pV$@#FMJBTp?}ckaZ;f!6#|nIQ;Cs1VCL-iWeGU_#R+tZ1 zthVb>DaB@I9gw$?5-1*+l%7Yx@bX~wH?W$>Rr8i!|Bj7ve?M;T%P?@FMxj^r;=mDh zisUS>>8Z^>kH3iqTWSN)|w@KO#_ z72SEJe*Evg!(CY128W_yqDIqohE61{3KRZ9t|p0t#*OUd~Wp zfa2Nj1AXRj7%*bfX}|*2Yh^rO7L^AIvlerL@Pur0ifWrnXN0U#;P7`iTk3>)lhflk zwHT)Yz=?8}t}@2|Ga^SK1VwZ+2@Hq);`7*BZ4z%>~-tLGXsolYl>7sL_G3Bu}KK_3961|fOqp1Wd?OOw3z1$ z*5CqgwoW+gDi?mS!#L)m<4{7A3u?jel}TSD+QhajrsrI^AhLQ45_@nN;QK;`zv~R8 zjYaApQ9Wf^M#c)zJ+UOoLvJ)1AYlwhp$7^f8mOC|N2|Qwc^U+yf8kzxh+;LR_OG}P z!cMKfgxN*1)Dg9yMlDz1lqKi-B3|=z?4|m}gL>NG=>0=))+r-V)9}!TAk;cC2giY4Fn+PTTViPjP!a^Qy@?RC1*rHmPbymuGgWM&fgcn5P zhMx^nc$^fSw;!9AEq?P5_QTeTvVC+iurJIW1`gRy)7iMSYmp!nPgHYCkJ)!*$$FJU zNWiW1AY1eb2kumh7v$sC70uFylOMKfZke#`ht>~ZamuTCtunO@Cn{6=r(v*E>04kl znbN$KBAlmCf(WXu)ei3kf($)4LrC=!UaWX66;PKB7++Nj!$>zLHe9Bb?LHcQcIL)_ z!1KMchS_WSpx2}J4|OkxFvBl2wG>YqXK7G$Hs)zZ4v3vFRJY6nio31o@n?ktBA)`W zSAd0k_>^xo!E7N^k;}eR5|9<)F4oZ?Fl#M7Mp~f5nOYfl6|#>r=YC3_GJ1^^&O`jmCduhIpy`8h^L{U%jGz<*xUn`3jdw5SW}AI4 zH&3SU0YdO&jc0VlUa~ALRxVqOC2?cHYA_+R@}7}!=&bbw)pYfBe<6%0#=>nY!K_fw z@G{99y5hr#P8OvI*$-lGmz?XJgo)j8@)tG6zSv6czv>X#!tR)zer4|%nkjdCBrwJ# zkTfhS2P`2wid$TEm>B*Z&U*aO5wKYiH5%ZM`0T$Bq1bINR&pIFqzMH^1#^|cVId-# zaa44BmCJ=n%BRuz zrkr9d5}q+Lu&_A?JELFuS5~c$Uz3NRoJ2@Wv)_HtyXz^0d^%h@R<=zuogoU!K(7Wl zd^vA$c>_(p*?L&#NO1oUP3}i{m#wi)!u*%&xxXY>Sf{%gMS_*r+mwDb@#8@fjFoM9 z=*0Q)(xdqCBLePyM!B|<07(*mt`ZScBmSfM2#kbGYuT#}X+&z?(}{HAU7zz+`Jhnx zAcPfl#xPP@&SE&Zbi})<^&VCkfb?}w=PaW~ zSoz4uSv39dK6ptfN7W|mu#L4#Urfzu;P}^L8idN@jydLXbz<4L-M6_51$D_%zk&5_03dNQMR$^cWL^yoHjCV)C@_v&iI2S``*c^f3ET{OSQh)^bel~(ml zX-FRk63zZVkXUfT`}hU>p%1O`6T^520XjPHgp6;`+T*$m$AKJ^?@E{XAzTjY#3LXc zL?=#Www2Q(o#I6Cg7)3$4GS}1krzCwLUm4jLah#wwuO3el5}L%8HB1ol}x)|_XhZd_a-VArr8P`malZ)G%EtoKG2 zW$GP%jyQPw(Wlt~6UaJPM}xEj++naf&$FxPsBng18hkhYW`zjvwGDKmE|Hy3pcwTc zdvDp)$K_?fh@gx1EuzR~Rjdsje>P3+B_sN&&CunFcv~w-oS(lZ$9$9x&%FUdWMqXd z9Hy)O5o=*HXP0vGT5m67t2cAwK}&HbDjE*<6=Y^JqbKm==#sP3Ba_;7YCeXuLbriS zLv6~FJ2W)*xd(MPu!ivQFuH@*CaUZOYfz?G55rjZJ2}>uCtAUZmft51gV&x zYcG6vER{^#r>c3b4H%!y52badiZ2}IR#liTNxneo#tc0{`seSle`!9Tkf87 z*q72H-WWYcChykrjKz!#Av7;Rqr_Vv{ymPq4?tM;UY8ZAOPvVK6#IGMX@6g0d*vad z5}~SG=;-7=w+(y>rBkL|Ts!bDUvqhU06vxI34lKm?Ep{`)EL)(oewWB43ONCF%!jE zlq9<~?CnK{yyPXYqY$mNM}I1PvlRyGUf%!S1em$XjUFMKH7WQu)!&R9R7MdRp->pO zPQg&k-(?V|$@cXDx<^O#nK40Usk-PMfQ}!E*S2@_WhTlAIy3C1sxJB=$YeVGn+gaG zFn~+)BgPz$c0#^3xSL#ZEpeLhZIL=fWJEo*qSv;=KYyQ^?CSt)j1{cZ@+R6%(;$-SxkF#of0zNi zy1yN5+r9^chH)j*A}}&fQnx<8+Y{O5vK%Lt$rq%^I<^5k7vrur1U3ii55 zMlqX-?++S10gxs%XRkRY2givB@Sdsv)tRC&)7y5 z#&*r}tzB?>QqVXhse^Zz1t{%09R`ta@i7bvB=6%Ed$ufF;EP zb+O~ytUVuy4*vMr*t=~{vNT>5|2Si4RT_F_cGA7ESsEb@mVgT=lfKVogK-u&Jm}wl z0`Sq0?udi}F)D@;uKoBp(vO%e{2wW6IRQrd9@ffG<$^N<*__I%7_-NoN_&5HfhoQ% z2#AS-N4fCCKGj4Wrk~DxCi?mS<@dzc;Vxl_ z-Im!QkVS6q?s@L01y8$G2Es(~ZnD^X3N|Qb{vya0CDe<;Gyp6(^@hiw2@NpJ0LuiV zvr^G_Kl1Vfx!}$JSXNMwZ|H?e8QW=~GX^lz27v7R^0hbw^aRfF<}s+RM+CPw+AqIC zhJC90=uzHJ#s!JAYaHoMH@b`Rh?N`o@ekl?Xo{0cDxsJ_KuGq+PcSJ)C z_xJT+wWLbt{8D*Rv$W7The{6ZS83&Rc~}qZO8W!Q)=uR{_kpCFU?yXA{AB>~?Hx&Z z)#$}9-%bsDff8N=J!YN8KkMX1iGc( zG0^Uls(pq zbjv2}0|G65#3*yL+SlTLRazPLfoG=gKZ^-^GlYR#T@1u!=*kV@jH^h9i?ZwkRCz(( zmgk&K@4^eZ#eDmC;Z`iMA&A1YpF0}uYOI41hQ|N+rJFbGaOkCIZTsI%0(&RPjxgV8 z{0N^V)$Nc7Ppyy5`kaNY1=dq;7xr5lL}e_bksR_w^iNs#3VF1}ECAeqIO zSKRW@ldDIRfj$|6?s3A$Gf9xo23bE1_pwsMW?{l4cHKUBVS9HWBhy~BIocu;x0~bNgA#Ssu{%(%6vwY^>mPBpcy~q zv(D!xJr|#2biyU#E&Z?VkVWAif|ZMzt92E#hJO1f-m#4V%AP=*{AbDb@qIQk_MX`7 zR~$5;xYMavI+njZx;hu{H*be)aMw#6kOdsLW^le*+_c*7lDy&80HW*xFVO$E-=JC^ zl0~DCi(WL4N3?&JoftJw223>}yI^QDnr=J_iFj!w3oF>xX_Z#~qLy zY>|-_ExFmzKU4X2GTs;omS7j4vJhPfF!0`}{|03aAB@6UBbOu}0NdJV&=u>2Y7KM0 z1AaD42+eKLG0YWMg)lIz;8Rna?_Fau`$8a9$p_ua%B{l!rb>Tiaz9y%VS_E2cuCPi zJ24*OZnJK6bzMllyBDsg+&e7$3yBMYPIVBCsmqAc9B?d%QcX%qmSn6krGNx5-9uh0 zxNo@Drazv-uTkX2ePlcTD2whX3kWUH8>g7{fO$!y(nppu*4}oK`%s=xzIAqUeLr}{ z+u-ueX4Lo9v~-*!_d}`*CF!xm)r7IGc09@=xVuNuID1-nx#&M(4^ z>mFbI7RiD?9nQXmGEBcQ-bCp_$K~2R=KHx&3W;gwUF9#DAo$8mx*!Ok$_||+ko*;3 z>H7Vip+D}gSye{Qv-Pw(I40Pd$U^j!dkBQy6rOk#DgB|hj-S%M=btt+OadccDfnE7 zXYJ_vZdKP7dvcaN50Rb+ck2?4$GFMt@iYv%z?7wHhrj&+Qxe4$B=_Izcod`Y_5#qXHZBn)OF_x=hsE$bBhjA#dICnU{BRv>&rUC8)p2k^K#eL^*^ z`!r$da(g38vr?Fx7^*OcV0Fhw>^L= z44XC`&+_TF<`coao0+d*vsUiMQ^X;adT+>cD_w8|ChSVhdhNme>5^$_tJ%sD+Eglv z#Qr|^*pw!PR8d&x2iHAUbh^?N?=<;5&mx6f`}^OJsehM<;3bQF8yw>FMW_3+&;e>Z z`k<}^%y^+69l3aU=T*tGgO8D$U zJ&I$)IIl;r>tyA@tMATe)KHeI@jQZ*ONT4UgokLYnU2ntIVs z6{KxDm2K#dmXnmKuC}`l2M??0cC(N;8j%tMr44K;{4BquYGg# zK{^{({AQ#Xv~E|jiori7WTd4z^IPUePa;l3mo=7j1NL#8e#_Oeuu!I$6Gv(0m@8AF zk97<0Z{Bn8#C+58UMNx4!juK~GB0eZ3ty&d2#-}^@7o6X%Ul23&*_gLB^nOH@IDCF zhVlerOQOU>n(gyc;RElVWbPEfw$YNNfD{@RL`gV9R@bpl zBAmajQuI^#?7H1-#+_RLOsTFJJ1^BZ=>`kE*@$p2I6dmB7p$e45#<&O0oF8UWAg$e zG}XSxtY&pi@zxmiL{;wT*@ucaXj6ZGQ7I&ejoy{+({;$+bDnEV7rfyq(?z?0D^O+S z)k^gG3(leH2qnbZWV{I01dBYxTM$*nCRefh0XFumw9QpJe?W2FIyUwernn(?IR0ZC z(v4j40@?u@#O(7{e~Y&zcwhVie* z`6MzJ0Q46+%5nKiyUK(_=;ltwzuBbB8c<28&R5kc92fX2OU0=5GA`_Rr7y0IFZe^M z1wTE})TIBH3K<@<2xC18gZk;RTieS|fnlq5{K*!pNcvmwlp1$d&hFtavn!B4mFnBB z^bk@3P;+}<;x8Sz=qfb@X3$t^^u{wEjQJDA?H2;)%z%=6&cK~3#=VpRzp%5NLHC|% zv$R>vubncPCcMM{eH0ZFSGHn-bLc#9?sr&%(&- zk=FwbL7#JDyK^d^%-F;IqYER~#kX9N$p zf5}uKHxk5Ynb3C;toLq11|!=Ld+ea!qnp2bu0O-8DqgeY8gbM)3Zg~3@q^L2NJm*`>9Oou%fn+5I2I~t&2-VcWq=-=N7P`a%yqCWiu zH4LVMn|2bnX(}(vBP>tTYhU3-e(BeS3m!q9ZdT z;Dud}Oo<;&G@WZ5?1k~b_OYMRsOQbiQ$(S0Jt9&e!QnGY0j)d9hN4HxI3zHoe<}~_ zcUrQydPoc_FZ>&u_u=I$QP0dA4ReopHZe!Tp23-*WN&bzO$Ab7pKV#twxU)-f$5Fj z&BLJ>dgl{z0=L?h2+_obg9ChmYEY-klbaxtnR2eYBc3@A>Bd0S*X;=!OOf34_f?tE zlY}v&7TLj3vI25MPzbdgxm>r2&WzgtIRNUcC3_plp&gvWhVwqNV#unSOxa0G$J=fO zHVQBx@@)x!tYSK07&8o1SkB=4t9pbCO9R>r%#Zr8Py=}LH!x*6wkZ)?7SBj&PdC@k z%7}I!|6RFj>F!HGgoDw}lK$|6e&a<^g7iPOQ`QdPiWKZnWox$uB59FsZ8R&GIf2$6 z#u5#0eg+pp=brYD3@C6Hp`Cuykfz#+Q8r78z~3JFBKM4en7KdH3f&ov_4!lB{TsymQNlhmc=nly@0M}P+k5`E#(Vtup$d%e>Cp-N+ZdP zpuXOW-Tn2i6L^bx#wOf+-*d!%gzvh>pyJoeL8*D!=H+f(=IyO;R$YtX6ASTA7hUUm z@eb6_yncB}U0$^IWIwy7%?^tjeq}|q23LQ(?Q@$jqe;ucdD^ork zwP$&$&VS-CB_BHK48e#H<)Izjb{|nFxX49bHr=xe`E1}Qxy4j%q_}3fcG>F6RrWEH zj~pF|h*slPVPo9#Z2czQ-1@F@L%p=|dWPF~g*JYacOyVJCjS}olhvty@*bB zKcqjoHN%MTBYcb2Cz*yNrbVmzSVE2F6^@?_`z_StC_2g1t6=)aPW!>CWPEJ&>sBid z@4uI+Xxhc5N$hz9Yxx!mmM;yZ?W3QMVs^6sX`RV#kS>jW>Q#oD6gTpO)%)&Zv=fQw z$=q`0h;>>u%AgB~8wgd6vrY&%lF(TqHmv+28y`UU4b;#3#!P$DN{=h#UDUIQtU%y< zq>bw7f%7nIu~^X=`C8C3BFORUY_y1p8(psc8wPoX@agjJiJGsk)vl?tNwPVneNn0m zw2{E!MB4P;qlRvPWL={xq^VLMl>Yg_ntOXN&ZWj*N+#eMOp`|HFUJ{z~|EZ2Gr| z56?m)2JK({$5{57xs159C{kH;e`I05lQfbeyo{@&%^rR1coC4&`;LWxXf*7*smwAi zY9vj&qWznbnM!fdVf%@HKa(!Yuxac0;qfIEE zldQtrzUKe$0?>2H08VH6$;6X;PuoVwq{JmvtjuS9qxN*FenZASruf)Y`oZ9r_pEFU z;T~Qw74nxN{qja@4V-rL-z%z0H#to%OOo^!nq!tFU+~y&Q_4ynpA4p4nkSdb8CXQg zYJDiZe>Oz2fy*z?z_mgVj&xm0oR><&t`(Sx@jqGgUl`c@TbL;~^X}$n4*hx3@PJJ} zANh>1ip1tRDTT8^HyLL{cV^}$M+HB>$`RhGiiyUko8n`f9_cph7ydti^Em@QS9Zoh zbMA;SxRd#fZoHNG=chH@ak!cAm?HkUq$TH3l}cIWGxH#J95cqg0uuGf*chheQca4W ztVi6m95*Wt-jgh+2bY=^YE;E7LF206TKuz4yqe zw2Hl8KUp5ULC%T6Ur|Z_$JASgMcIAd!-^;%1}PoVT>{eG-3@~?A`Q|Ff^>IxcXul> z(%mIBGzdfId!x_i_kI85x(1m0?0wc=YwdlX^ZXa%I>^Gk7w)ov6ucW`xQ<8s@a!~o z>k4!cCD-NUeUHR2gFLs2ZO(wXr}{A-4~ny72fAMW{?-`HpJz@Z+JZqv#6Q>$QM+T8 z{7Tx+&*dlKr*`QV&nWt&g9B!^@${U4-x_ntc{N;KFMH%>9#G{}=WtKZ>w-B{D#QG) z>K%kA1n$>Fw&atT>5|=}2`?c>1@30^^QUkdp9z%=g-vn^@vblRsqg@t_3!lGd0&y%_6h>-PcdEsC*4`9G*h;UKV_tQgKVVC5@LF7i)(;v(r#MbbEOfz;QF*= z%99l~TZjYdhsVH)P0?%zXP^dd_bg_nhKtnoz%nQ{+I$oLZ#>v&>eWuNzx~yZ-1SUm+p8L_=PH;f)20`3h z1rO%TckD2!cVELIEiTWZ_{11&h1k48)kjVqeqZ@<#B+o91H#=3_?t?H}2;!?tgf<^X^(ud2vp?>6|xAhWqFhRZuA+9DEo51A zhs+6)Usntcz}M%}|^{n#VA^&9F=I!&6tA+=p+Mtuv?v zxO;-a56^j4nA3UgrTr&S)YlW)!i@TeZ3uJd^;{nc?Kig@pnIioW~Dtv$I7P|L(4Xn zWOMA2?97pOviw5T9k39XW-9eB1z#HK9(#f93Qx&QGX`@)Oxf};3?KX(T5cIt+eJN$ zzjQpC%l^UTwDx9{OOb4h>Mm*BX4s^iMKh7$dbDm!CWOQgji@-;`ub?}!GD8vh<~Tm zsB~RI~W?MjR(8$V{p-^(MxKdeeH?l#r_`#cc~BOHKj7KFCPIzoV% zVE+^WLk>*nhl9f5`Xl1chwI#&@sh9vLElxm`Y=KcwzkVPU8;nQ1bLstSW{XQvbkL6 z9G2P=_HQ|U>`J)z!thXD%CZQUUXeS?QLf>(cszJW9-LO-IB6vo%SuHl94t!TLr#aU z%pLSHU_O^5>{Cybb-~|nu;ec^1veNm;jalgOO0SoklLGYheddjK9I;wkS<=T@o$0B zJPu)~)bCy#^Gz2VUR4;kf%}+)DKEA+)ovdOUD5lG_8+`gKg{p-vTou-l@&fMim2Us zZamv54j?f_V8wELA)fsW6-T>scE+7Fz7*6O#bUU;EnWr#CKX@-YgAGSuV@hP2V5O7 zpvKkdb)l;(OMpzObNFN4t)H0~s>k29Z2qZOiW3%g`ekS0`eE!rmfP5#HvNML_zyJM zTCWI32oGa_Aj-|_>V1ezoKDS^BS|Z1DyjFAavzp4rVMW`-M|au?Wt1Wen)vU8qu2t zK0ElkEesJ|$qcj0sELOi&=D|vu_WIE6K;q^w4)G3?tJO`*B?JbtMksKKWqoW-jL8f z@1{XL&VkUZsZ^uS=dx%??PUk4+m$366UN&LG5C3F!4+iuz_6@w*7$MZ(t5C<@{Zvv z8J9v8zFc=TT7takDSn$M@hg`wB7Ib z1Vu(X>tqFYQGX2>djUV=F>Cv2Rm&!6=-)YQdwtXL*rq=B`WA^RP}LjTo3N&0Fs9{a z0@)X-2N>lT725Zy*w50HHb2Pb5>b=i0vz^g{3$q{-C+;NdkMUcPi?_M=%ZZuFjT#f1oq0z=MF0%Oc60Y!uMA#hBCgFH3 zwRV62`wQ$6(BJwDAQAz9NNub((g~zWl!$Q%k%+{;#8H+Jsje2um%o37j(>f>pc7?* z3|6Vm@j;uQd37wVjx|k@EByqK3)NJgtuJ`Nf@6y-KcPT{Cece7MVY6UhT(ctVqX+e zrpCiAkf*i18F|7}t_9Jmnx8sw;Y0l&GcbU?MBZUPHtq!#;D25q-}!OO%<%(PE>~Q-nsJ^KMI!ejoG{2v_(agwb1Gonea$^;zxy_j zoa4%Dz zn1VMs?gKeq4A|g84doOW-Ipr<7UxQGpg31Ph_tr@N8um@gHf23FN696u(qKJg6-1v zHr^o&%_hl4`AJBpI!MLG(B3fF^l&tX@Yd)VqgG>FM5k}Q#raTDY1Ja~_`pvH5$mg|7!ibUU%WCNzsmh+_+%uBQ zM7N;3NGIHMWD`9bC!12%`!(muMnL9!tOk!k#_J;Z#}JLpj;!cWIGN-qgi}$YA7qJy z#Jo2=rzS#lhj50lVL`B$9zE*2HU7E7A_AZ5EZV7TQg{vy9OQG>zltMEG0%mXQ-p_QHZ>n~}X~5XG~^e@6Hc zVWGu-!9vrxK6Zf>4~)xtH5CU<`^tQ|1Ln};n`bN4b%nD~779XcmEnT;{mk`3Uc3mY003RE_#E5W&yv(K~Q2@+y zzEk@c{!Zl9Gq5z*c9UYMaclZYbX{On0~XZ2GzUHzp8l{aJ7NLmzi{b=Mg%^MLM2p9 zx_@iWR5hO)ak(F1dUoV|Nt$UhKtx-{S_))Ui6bQVt0<`P26#iNE+Sku2jrQD#Ilc- zyxMj<GO2f>c$qvMNL#l5x!JLVT58EA=!AG5W@#HTKR_7Or3?%G!WE@$74gRrQOf zVft@krV9wW@H;{mc%l4J3axj7L+^|qw!uU8AF0>$eljnZ#TX3OiQ9c|@@dyQQ%CICji#-)L1*5PY_k_nr6!JxMTy*R-fl{Z%P*tPhgS;b|D@z)O zV7IGhcDcql24roVGp+J9tTfNArGCVp2$e#*%dlRcSRnNIBu8!^YQbM)#ZrZnz_MW3 z!H?zHV?+m+d|PKJ+F|N|QKJEAT

    3a2* z)LDu-c2F@gCoCMMn94gSI7Bd#^y79wajvfCs-PB@3CmjJq8_N--CjH?cJAH10_s2o zTNw{eL}I4aL4r#h?|*y23{kFDeSK}5N#w~Vap4_}m+UgNvBuzE^*9wRY;DJXzME0K zhAmlA_5nL#>z#ge5lfDcY*4%k>2u+#Sd^)_>aZsPEAt5t6N& zuL`+nH^d1y1^XFfk4!CjDoq}3D$}lyw6vM{a5^V(SPF+iMoHG*Kbz}?k0f7 zMx5D~gU`@2R$c2c;bS2~Y}2g6Q`}W)e=~o_*_pf(m%KaCo-iU*ISMHVqy zO}g9rrOS;8Q$V!4dA~>!b{^Tcvu~X!3)fPm4v}}|ANY{i1i1xHSEX_>V72vJ3gC&p znF@!+Y=w>zyI1uxX-e>TieX_Upvp2gS$}S}J)MQUb|}H?ld68&iv#ka+#47~+UeQu zqa1tZV7zO3Z*s_Dyyg}D?ffA$5|`M9`=OCO4jm54<}R|w+iP6INIJP9fX4SGf{Aio zrxn!B=Pmwt6aj{aJd&Max?71?p`ZMp{FHfxVGy{7WkNedwy2a2YK8T)ujZSBRZT1R zzkb&v7Xw+$_i#Qk@0TBfYhu3@vd5ZEMOBlE6Rk47{Hpvl#|zaW^S2Ti+E(T`E0z9P z6oQBwk3oGIYeChll^idRre*y9MS2=}JE>f!e{W8{)Yvt)t>0cd;(YRjDSyF$aoa{r zabhza^GJwgyy?lCCGRH?IbqYV7A^^KtxW1b3;H0`9kdI<2XJ%ICk@;E63i)k;OIbXiAgiS!vsHUS&CJ+3ncDL>?bz3y9m*fG=RCoRYM8kQ=h}`NJ-LRK`RNDA@MlckybUH-eO6@@98z0iDaN~j$u{)yps7~BL#xTRSp$$ z13=#VE%gjO44JgG8_h4NP)PPFu)hWi{a1a$Q3rLK?K;QK5bN6>SU&#hiyxexx0k(J zJ;XEQAPbe+JoX$!sjB$3Oul}fab@kuXnDPtHW-)NeEDvAp&ukNy@jR-5pmEgCxOEW0l$KfTXp?A?CDD!AK|Fy8fg&0^m-Xs2q%AcM>> zArUs@ey|X z%aKC>uVlNigXBu6*>x~y$h;f++ifc`CyAsy2oSxgVrJ_xukE6eQO85X3#(G(Kc|4F zJ~5dNOBkYXSPl6G%RE%N!cEv=tFRl;f=G_6X}Ane+0?1R)DQpL#Pg3ieWTR` zW04d>c-2tEZsXpBi5*E-EuXvKt9+5CY2D5wkI&nTWH!GlvC8maXmMT3%gDgJNVv3( zs~vjCQOD@>`UmkR5@C=}2cWGGgO#zk@>_Rz+-Vn)zc{>ncBlJwqT+WWHbSynRe1k( zu)~|P{^NXi{lO-le8=7XHJg7rN+R>&?Ypj4G)_LJ*elUHqqvzMwq#`ngEskS;X@$~;Ntg69R3{f zcom_bF!3<$C`%{)V>O<;L${O}fz-bG83Rx5HkNb72m8f8*#fOm z<2d5f{zqhcEukUhS1yK95TCltK}Ml#=QoWw(7RQ$d&z z5rPdlC_+i@Bam2~C6K3Qdd!;qIjCzvFJNz2Zc zS+Vync8p-MA-7&}Kz z)--TOi>im0Zc*7=(mCcyL85sefVUEvs)+1JCBxbguH{&7`W$xQcf zXzREGYulbyYxE_bW^+a3;jPwTE&3C0E?6uTjNC)G*=J44AW*3!xJc8}M3m$#$8!MW zYcniKfm>y8DEpQ){>>;|_}P^IXRkBWVfu1Oqs=;QK`vl9B~8I$tYO+=BZUiKiRcki zr=Y z4i21>!;Yz{;_KKte8sZxsk$xOe*kFm7SNXms~bA{zCyIWA~o@XkxXexmC@hLQ5jM6 zk}cA>t*;{0An*@aHstQ~wjF3S3zGV4iGKCbBM%qxP>at|Va$8qTZYUz92Z@d*iKPN z3-bgw3m%SG;yxYfxflAmUL&YvPwmy(EO^i~kKM>2PhlV0oSt2*HP|ijp6UrBxZ;56#!N_AQOrR72sjvijfulJJAa*yN2?21 zs#V4mrqmrncN1%RH`yc+R9>OZ>sj~Y-T$DU|WZ)r@`xvTgE z4^ZKFa|y&zY3Q8rxs2zPG828{B33onLMvIqh3>`c5w91%6-yH`?a3>xfSZKW&gXU{ zYCObpzv4$^SAfXzg!6_e+s|E&4Rfx!rMobt-Hav@KY8`#XIZde3^ON8Wb!+(b%@NP zv{dnICiC*VpiQ|=m|L=P7f(j<{_PVWE{4Azz4~8wpWA;sVLYWJ+Kp-L&;3IeFT!91 zye4l?FObW5S{fNpaeXWDnv9laA& zA`tyB06AWqB_@rDfTY{sO8FPanQpk{1r4+gZzYZgpLIoRKB{kG9%L4OWL7F7=zGYA z-6}LIG>grxWGJ!XM}aeoh!heAUxE$%)i~qyLmQ8pwkwHbyJYDdNLYkD2>lD$Tp)Rt zM!vctPu=_&-^8tQDe9j^bd0W#U&2H2Iq3LLev!L`GgfvY?2waONf9fiEpu2BIW5|l zp3fO8^6poP0@vFG+^DV`)`)8U-3GYcpR1(J`a zIW5oS?5fBz#)S)9ZgbeU8f98X3-iK6?rkyswhv zmuiQEb5q&8e)EW7f0GlSjfhYCc6cORzPf?@rR`X+OsugKU^giBTfiDr})$&%Dhm+Bo;p6#0(D zA_$Vr%bUiZA`wPv=sQdiZ+aNrUyXR>0}sn>*?Qc&)A{VJg?3xV*+G2TRpvi{VSgkf zzCTgOl_G$pol;8Y^2`mS3E#lmIUzp@yXMKa!=4b>nJp;)-iWnKISJMB#j6VBpnVGH z^aT64fRjy!Za|l3zVtRuccHQb)-NcrvKQZcgY{}l@PT{l{lGBKUMc%lsvXRo7u2w5 zD?9ITu{05{Yn24VI%8fn5#n~#=5)OWdPv?AD)u3{w4+!Xj7MPM}?p<8fJr^ssq`{SRJ zKak~U5u&FcyyKWOs?Buqr4@-htVAQqx>Y23XKM!4uA!6@^e`=e1s&|@(vUz&AyE;h>IYUOWQ$_0=n?Lp+?%gx3K_U7Z?70NM-8&=48ttz`u$sUj z6*KrJd?X@GcJc*`oI7W}@vI}YMNKKH*HypRqRfNEi{oste^9lxr0Q2`$Gq&8pe2*bQ-*D-s}k zwA6nf`EOScKYC+N0|1Rf48TxvRx3F6tq&GDEj0}Vohoqc-5`{QCxI<*Dgvw@5Np_j zu^V(2)k(5m47??+bs&SMWN?SMr^R45kF56o>q#GV0qAxO=L)T5M2QcXhH$Tp&{Zms<(=Ura-Szaw`B>d%IuLcr*-ZKHK)~1s6%;4#Gi%UixAytPCeH6ODc zlaJupErj_Hzr(8%Iz3;oRzziLG;IF!6Lq0|jIn-}tVN&^mTW#=S~INUwk)*0P?vV~ zUlBhQ0tDAvu2fcpGW5uCbn_y);6N~KpE7HaOo&AZPkud^@P>*}I4v;((GBG~Hb_lX z8_=cTI`!TvL470#!cd_WWT~B5lbo<|VI-o-_1Yt^hnudR{i}+l?5-{2|VT(x#X>FVR{=W+%dUo%-|*v+e*qoBY%V%Fqok8=^^Dny z@jM|#;!hx(q<2~G2GkpXV@YU2Y=(VpH;D*<>fsE4)`aL={#aOs*S!Jkz1L+INqz`( zJJ%6A1gg#Z2`J2S3U}0kSAF)oMFsVI&oMuphJjnRvqR1cL+~PwJTF?33Lyp0?7IH* zm##^k-XqP{F<}0T5v?72(GraVazC~|Y}%^#i24O`J8Uxc*;Zv4qoN>ui-_>+#7HR# z98ND!IB~2cSMtV)HI}XAWHKtW!d{(lK#IQGQ4QvN`CciUelzGw%tIqYJm~!tR*0c0 z!?--qc6IF}ST8Uq(iSuJ-Y_EehT_HC`3s&+s_y*${&sksY5A#!TKn}>1uT1j zsfA&P|6=j@s}a8TCX(Q#@Vrri{&@X@m9Dm=-(8t?iT?k3SsxLo=C6ByafAv{BB=1$ zv%vB~zsi}e6{Z%psweHDm6WB@v{Q_#mfB;T$1y>6i{-XxHFR02%7pll$VW+#Gd}~i zlf3DQ$HmZ4RgFcO!?bCM>7b%W|0fLFy|MjW!OE4Q$ZDVAq(odpZ5P{J4-^Nf0pc(pd~iSJw(a#qq1Iy$%<1tQfcc7!fj&i^iN7J=qgg*c( ze-%~yqk)DJ@fP2E8ZhTU91uLy%{VLU5PMakd9~z5CaK7X;GT_KQ_xlsb6r{M?qk(9 zv_*5?$xFa!nMJ!k`-!P)$a~akR}tssaIojcC@|lzZ|1O7m`e1u)i6$UR}sMOq*}L? zo8z-%OpFKk;`+Rkx1-f!%E{I*f>4!QFGy^E!Md00hEa`G9rV@&CwGkwq*~5il zt?saPRkfrd$W$TUfw*3GD@GP-Pth0aFGkMD#@I`z2{3H^Yl@1iZ1YhE^v7D(%!}Um zaDOwA&~dxz4&OKH0_lRhn~sx4+^IBM&Vl0gRhhO6G#a4f};L6KS^d5f7wsBE)5{|D&U({yFaFO}SCa{XOt+a}zwNjPQxZiO{ zB|qy9CK&NZ$ms@83EV|db>E+%nk-`Mk+X&JA!<|1$G+=(hf=3S1(vUxR|8n99e?h> zqPpbw#P)4SC`;OqmFI245Z8LBhtJooG^hN7`UNIk_bA0<0mW;OAMI4b!U6Q`U%CIy z2rQ)w1+KTJn2?O51zS9=J~p&EQA3wbwLLTk4Me%0U}WS`hciG+4=>)DedK1$t$#$C zkJ@k8s?H+3ZpqW!Px_kr9B<2%k3kRDnw)t4HKw;E4j74wr+tTYNW{*hX_mhP#^uE?j9D^U8qT&67tvMwi;j|MT18ClF)zy|gZ z3q*%TAlFFc*2(PYrQs|v-h}-!zs1|;T+-Zbx)b-_lZYlo zKvNHy5J_7d7c3hXyebRf1%h{`3)5PKZoPQMxj+%ArERGVS&rRZI5=N-{U<5@yaRBN z4$5b8Ei`SVr}VKo3ax9_RCHzs>pRX-GVfjvS$oF7(%lYE zCsh?WKpHNRx*+81OWv?=r{BDHKkhzzHWjcyWPltCQE^!-jzIp<6UBu&*2@|PWlPIR zJeN-JknrWm4?6S4B4@OftNK-g3uQlxo#E~_lRcoHc8H9~8iYa=oNy2tmR-#!^f*Fz zwDsnL2A(Ce>m(=OF2dChX#uC{LvRYiamwz6ha0++;>}6?he@j z7`HfYF83_4J@xr3@y}-=rV;$-K#NhIa?6fLQ{O>-d8lJthJMQN!>6CV7B;`5B#ET~ z4WRj`_|0yL0FLcXgpj9D>>dhCXxoN19+GF59dcO~5!Inq<_>fw&ICZB2t$0eRx;RI1X1|julb+IFDN4^&W75!s}fxZV4m=ahH~# zN^Xm-97fzP`adR0W(pdh6y-bWj~t3gmGY2daa7a`ic9$_)Z1k`E9gQjPaXKC9p;hk zgF692l=xV`*d6z0OTP|&7~yM6Mst}?u-m52aAzw6!W*=N-f`K(>{_R)-WftG7jCm$ zTv9$?(jP>fp6Gd20y--pn<&A=`HPi6-#-E5$$hN1<#*@Q4o}OE;3Q2X%(lF}Jf0II zU@l>5{qs{GDtAQi;cCQX=0i&cwp=X=3RKnSo1^S_@5;md#VuL8h4o~i@=hRm_^%f9 zwW_>$9XcY9(=noyV$aPu&2h7mviQ53O0Gh>$v*hJb})*1(jL=D$NlvlCTav}0i;vz zqX0H*&DLlevf54o9XZp)2Dvhoi2P&(71nO|D;lq()d5!Mvmxg+5x~a%g*(62oRz zK>6#hXd9y7!Ip=G*Mp3MWf;4G^$XS={0EKe;Z1Mg;Dfpug&fHU zg;-1tZKF8*{VL$lir^-nj^-EMDvDt)d4Quuc`QMMZdpvSR~VX@*@(!yTbnB$EkvFU z5a6|Y{$EGX59lr!L^cA`A8_PJ+E>qPC~024kuWrS-&ri6ae+R&R6ocz@Od*XL8&wr zX7q;H$@Af6#dt!(VFsn|#hiZyiH2VT=323coO2})fuHeOchKC*$a5UM$duLQ+v++Z zF@5MGEgi-82Dl3I&cez)aChA5_Un&}k<0M(3*YE;X~!q4#s|4E3T8};+uG{~ivX^t z1oJ)gM#AM`RYiMOTP?8+DB5Ebt-Cu1{2hQOZ2XZ=wnaLBM8iOtxLzM2_XL7^Ih9JS<@Lk++=w!NjlGtyQA+Sy!LvI`E*U^?Jqz&`3|w zI&Tkw981nPOI+dKj8&~(>7cV`A=hqDO}wf+Y~F+Q-~)BY&UL0`S$#^ZqWXTk!Hr`d z;lCAs9J=)o*?1`d5D6tU?KZ&ojL1(iPUjvHe7H5u@_T3Y@;9Xdvc$nPWLwrW({gb6 zY%}7$LDzbOV7g`&82q-NNpEk_ZiJ}hRBC}l6wuswq=@NW_gAekVF_}G8g^bAuPBiWW6=OZ*A~%UWf-k4Z|vnSvb|_m@yX zD)+ok&CN?fx`|+;2AaEumk&UNf)6Vm6i%FJpj&Q#WDp`F1SGu+lK;HK;m>`}gUXaQ zBEvtB#SmrmIbm_(tfn3&k~?hS&{!%fY_U{jNmFz%EAS?+Rgy+J*NZy5M~|Jf(}#2; z#SsCRRMod1>o0DV{dwzHaNl(!x>DXsii7{pf6sXIm@vsSfzdN1ChaiSdDDV3A26UB z6aY46NcD2<$NdTPTeWZ}$uop^xngO8FU}$`24CtN;Hz-6zGP=cUcP9*=vgZ*eGG_H zDxMG`sn;BLXLv1cqT;@p?&m0Ruua9OzSC0N5QoQkO@{o~mO@1^_Vdk0>x{^AHs+7QD|Z9-Nqml{im{(#DKomaY^VLTq350M=O>QKE?d4M zMCkSEVgxO8B(B?8ty~e})~uvXoA1d9|Qm7;yR%m03?4du5fOo5o{NLxbsMf!YdFvfcDQ zJvuK2I72ByO*$83ov1FU0hlb*0hSh6TY#~_l2FBiC5}fK|747#?v_>P8Wpri+8 zd`^ZH>K}=49|X@{|4kxe(m5IQ^4eqQIUgFU7(MO@9(!oAs2xyY~K5Z*7AdQb%=HU*TohK=Rz zOvgRP0MBJd&#PQH1t3`+!YXG0dNFLyr1Z1)Vx!-{!K2aL`8^s6%aS(Got8;p-O`Bb zv8@9|8?XX0YxuoBY%2b-i+W7>I0X32?};m$FCOpmmn5V3zTGdjX9s-%{loj0oor(; zVM9b6(rRFa%%U zZV6_jbh?9@7EEO3&zqLM3sH+L$TGLZ&i1_Mqq2)xu&9v-8|$@DRgQ7|ahvU*)S^G- zeLw$a%Ae_}c0ni8>vzZ8xZaNFXv!MX5u2>?Z5n_ap0kqn1sbAu2B521N9~WqfGhjI zCIbtCNT*mzOrb@gn`s(n5*yiGq_%HH z0r7=hIKy^KT#$3AoMI{$Ygy|_zYCJUwKVTmtR?UfQ>3DK!!1ErbArC3Ha4(cmgJ+s zq$NDlR@zg~C!@gXo9afj+L{Ja83X_Ocfezi0=f_&WfGYPe@*Wy%vTv-RxW!#x=wZG zp98s*;!$AAaSnv(8_EEnXFeW%{%%44?2Fmg^!Awxr+a?;Q&6B)W%&w+5p z&z{lp2Z*~ZShZLl_3DEWuZ1#$`AT^5mR!}h>gmiA_{vubv|)Nx##dJZhTXz%9#uVDm~ z64E?{z>nPIchQ8xo$bb6?^k*o z^8ndPcWAFh>+etS*2Sclx1rAob0sh;!vo0 z`^X6&F{b0&RX4T3*q*Z&Rw#*}z#UM9Mqts?dUiwiCe~da>WYbJ_m9-N*oJxKp6? zbr>x*e^(W${qz*_{Wa$=c?c6p&DEPFzs`;R7Da)p&-mQ7pTT3)&D~Ie^D6ec(}@cN z#cu72XIW23{QmZqoY%u{2)`@xpQ$ZJ;VFzrN16RPf9#pM5lS2yf7}B6C=661937La z+P{|U`rseY-$3@sK6>Bntfy@kty}zcA6;$^8mMnu*XYl?NbbK{w$XBT;(kVAr*cD* zsbH#zxC$$YMJJc2C4@7#UxL#~BKS_El0DAnFprSG08V5z_tsxuNk0UjkL7ne9_y+; zPr?T;=FKY>yIuFn65eocME1j8d>4Gd^eTq^QMSN2JRkkNd(vX2*?Zh#rJZFq-`huX z=vgN!cCS(#SkCWpiFQIi3`-3#Ht2z;&V&#Lv#r|BrkhOBt)7i3TBu%}?I?ORo5E;` zsfTVm_Nxc_*S>hhscT3>Nxa-Y9Qppgjl*(^ZX#ZL%yt3@GdTz}T>j>$!z&qR-?=VT z{;H_}Zbd998g~k z*rk#fAluU&fyMpOB0FxDj$EHSb?F38DSGUx^7rc+iT(T}fSvvQd4;;2jHOWiUv=yo z*x&E`*w6-D^=l^gTrwGdqC0?gw(fVWc`n_WYM zNO@L$F~=VrICqcI`c2)Dko_kz6uikRTP%#41Of8F!yYo2bz({-ru?2t`rVW+a zc9jLzKemIaaw?cA7vd6B{&tJKv%Y=PbS#)W?6>k9p-y)u8*tsX=)GM5hcLzibh$a} zkLnG60h+gl*aFaYOVhr@tXc>* zfqaB=E?C6e^oVU>$TEzr|1^#gwbE0gpUwD}vp3n26ZX9Qos*QL4|CW&_`wSYF|ya6tq^x`Y3(kUvPX7d`C zrrv}T1o!9qqfJ+rzkMT!h?|3d6im=VU?7{-*lL;1=F5uTCL9 zp!G+3Q3W67eXEAUKW~Xfag{XU!Qp6o!S(LL>zdCo`0cJKT00$v@S%?xlca`V^@0Fe zgx9vkS2vn{lwnJ(L+g*#DY+WJe8D9`-mrwY7<}d{U9!naiKqpjWq&_WZ2&?V0sQzy zg*dscM(aq_D`$xD&)i;c$rrm&WBaGQm%JQrQ_^@@Y0$RSmMvS|N7nsVC!D=k)`@dJ zxF3grQYW=0N7uDVDCQ0;WTu$~WbAGuRE(tAb5q+2JVZ$Q zZuU&-@;8!T;@vfA2DvU8ey*_HmM#-bJHD?FF$im2&{)P%wtjw0;^wu_drQCwq_ER+ z-N~D1Sw1U=y`kvk`2yS&w?3+m++DRC-Wu{8+fn#Ys}D|t$aF$??-hXVh`^8nc<8w~hQo>5+{$iAMf%p~?^1`XNQD8?eJ^Me6#;Wr_JogV#L3fy zT&bUb@ii}3$K8STMRS#-V=V{ryl+G&;MnpCin?*AU}bh>lSAIb8N2i5lLMy9$}6j#Y*OJL$V+&g#zek zb$UxkVrPy}6W;>tX=+mQubt5h^~<67+#55aVl zexlIqhUp`i0&qHTb>jC>MEyn{M>Et5cu}9_vx^ z8&syCoDj{H=czi`@pp*3b5bJHeYLv=Yel}*kXDqJIkn%8XQ%=GvuJ{|WLNNXRCMli ztOHQeu+?H51wy{7jTm?~Cd;bdAwXjiMpnh=0KiF{aM*%7|HaFY3S2p6qJ<+9 zrf62sEOJz>pzFAGfD7vFB8d{&8V{<^3dn%v!h-2xvSB*&!7_s4qGzAx0 z?UN2X(B3}K{2oTsZ)?>cstA7HT@FzF?xxFvb+6zib;_3C%x| zghgh`|N_S(dR*&EQ8d5d=*O%~>aF2si%2m))GyOy|I_ zIiYAElhud!bYr0|8tA)(SX2i1tGI0yopk!c3x?lcS7WTq>{{zc!iBJu3O(!8urgUKXuQvsNgf-N8s&}w+BcLhJB zJAz0rOgfW31wE;LWs8k^8Hw{H*)+fYFs4T`MVWTZ`!s3Cuff&>cP^-RZ*kSgdWag*!p>ip@*-y}eg%CB6QY<` z5@M0{1`ZYlB}bN$&1=nd07?LMOQRF@uHu-A8kFB6K}y62qM+Uv+>r;jXdLmEavR6G!L5#(K!L$B~pwwgjTU$ z7eK@V@PF(Vqv?2*?1b5~5JZB0p_@Liix2zZ0&#QOIqeB_`d*prp?NHsv9a`4Wdep**sD(ZGwRO>0U+O6$ z!_P^;ri<)BWi2x?a~K=D4ZUNn6)A3sh!Z0a;e`vI?<%7yQ6Q^}rAX1ikVHD9IJ4-o zQrBxks!OnQkZ*J?>*9)GiP-jNlZfb+HqVKe1;wj3Wx|+$aZB+83YQm5WV#iy5d}qy zH6ipr0PaId9L2So7tKD+;r|G*5P;3Qo)!D|t`QlpGwQTnb+Y5%f1T?aB%^bbcLyf_ zhIlD!FN>i;!++(yKPf^C`BAk=c#j>Tt+mO89aMLki4%cZ4%#JnoE(R zZ4!q`9;|KjD)668%DF}X@exx2d@kD^fRYvHd=LX`9~owc>nGE1riHuXN@UB2G*vDB z1Rrkq`U;GG)F!=)t8k~hA+R=F`)pbMIzf3JA9A0aHo6^`7^imeIl%jb2d zW2*r8y%7l_dp`m%!vLC7Xtf)r-_z`{C(1qj?YPcSL57NGV~#&jsB-~?V#YMJfu;<1 zAp*_i)TkO@$YsT~tW&kExenL+0+E=o>thXLC#EyS0CKeiW z8W2~HaRney_Sb`PdM;s)LVLMR`9AXUx*Nmi-{D1tK~ zcJfDu!~ehbzWOh!uI*Ps1d$S@hM`1Iq(u-%dMHH@kPt~}WI$Rvq+3EzLPS8NV^9eP zkWLvXX%U7TB&FkB8{@v8_nhY+IG^K>@KN_(d+lpo-@3Nw;_U}X3H6yIm{PWW%-C`t zv)h2Ql61my4ar+BUyWqEX;K>Dp$pIfo%&6`y1)JgN6FrQ)R;X|Kl%|+8t&NFDoUm8 zr}CuFW1Esc1&TzZEgbB!hYDSxSZR+IzPLv^3)}7wIEb9aw$9MYQm&OFHmNvz(j<2JL z*c)@zJB+Dwm4wb%s(hqIqD?S3NJ=yJ_BJUj?J*z$s1LK_3EIk(X`Z~jt#ud7uOldj zgiuQ$wYqe7(I^w`dSs0~EKM@>xVRM99bvxrg15AV!~Vr=0tC;E88~ipFJ&q+KlgbE*{84>vHE{$-2+C1+kQ-ukXdkD$MQ! zyMU~o&o=Jfj!XK;MqU?~ntpGM|2Us*xXaf;tZK6P)4Lwe$n9sY4=`4e_O@2>X4d1G z5e|^_W_H)x|2Uo1jv0SJ{vGyX?9G`NV0RS-kl02`>l%+~2-86tS!u^h62nImL0%uJ zA8he8b6#&~gs?c|K2d2XiS0Id#C{vh{Gi-sO+p;&cqyB+vKQhfed}boCnuhk>rayMUt(%TDA@ zn>-5gb>D)7nH;0xO`D_q;xRxTz&eq%r%4aU(jaY;}RIs(I?^Ua^VB zB;dk~dU~}J=UO0^72%shL4#6+yWA0N5A~J(vJcmzLFr3P3*9c>04m!054V~s#ZBrE z$j`*TP?SU@aqVH#QS)$&wD;q~)wUn+Yb_GR^E%12F1=q-3s6(9dFVl2^m3g~szl%E zlGJ4g<*we;o@d`xk=kG9+?804ORT-01y(+1d{_Y1FwTY)mT`PKzpQaqqa>}{2oWw+yx8yCk)d|h0;=(AMN6JygkTG!r85LF7lH5j^Cek_>U`=j zQNvRc`Ha~CNpTHAslekjM_;og&##D016Vh1k3&{}qC=cyDDzf;;W1^Jmywdw$)=QX zozlDOWq_%iPJE2JB66vp6FeSpx4w|T@#6FK*^I}foqJzTaWdnG@k_5%#E;HR5(Hs^ z;Z=8YH=7>~Z`Syn|5&yTI{*m0g}XUjCrMKIbB6;<(i*gPO#OE7gc5q?doujFa0<8h z%}rHtf%suE{J|iAwnJ~{ugM*Q9tNOPdu>_lL4Ery@NE+H9k%ztXjhM4wo5^whMnLB#Wi0m%An(z97~4WvI^^k`x1t)dX{(z3#M2K zr=k(yBeNjv5fc%Pgdv8%R@^O*_x_Tl>|R|)u7bSd9P+SBd?pJpt?O3z7OfRwCvdx7 zZ?m7aT|@2JXHq#^7RJx4zYJj+diBv&7#sl4?6cFX>=Lh6)v{-9$1q$t9qaQ8%gT}X zH^~kDwpBz*3lK9M^l@G3IEz!0W1n?N4QL9lwt&xzCd68N44%uME(s=!P>#}i*l7y+ zsn>K(&+3;|Pi%=NiK*19*j(7?Ty1LWwea3?pNtY)Eg=~c3#&}HqH;&oCfUg*y?(p$ zAo$xj?-Hj2&>(T5OgVKPY5jsBm*2kBotgv!*;p1}G~e8v0sN#5%LBZR)l-BC^!hU3 z0p45{dGP>OE^3&iVpF{imODSUYp#hS)Iv)l9!7rQxw#PbYhCK+mn;(?GtllnRB&?U zg|Cm~*z&~S_524`)kxISpO%>u_MDr8%U~GN-JPkLpoIZn_59wi6TR2RzV^{jiA%K5 zbo*ACg*5R8wq3GIrf9Db`WbtiglG0ztUn14xC9lO?wd~T(Xr|-a{$=KW2TnC~SEBGoBsS|+!-itw~{Ild(i&#RCt;Ojw0pe%3 zKBcOka>%}NX~8Tay)S1=vldN~S4OrT(Ye<;sNQd*2tz5ZU7osY9*Xj^-K5pcj<65o zxeNo2l_O&1@hO5Lyz1M&HZWp#YW&1_*4|75o3AX9`IoC3IOjtSYB%&-9FP)4I)P21 zZTdqR9F^SV39=b$(H~sRkE!&Q+$7L+C2p0*PZwQ=E3*c=?zSWzZU$LP?akick_*lq z#?pPh)PrBOrbbmTXnrH-L*KsJxXm6d{d$#u@&#NpS^Io(-l;s=xS1!NgRPe#-xt#2 zaDP)RIkJHlUNt#Hu~qYZJHHq>&v4tJMOO(C55N9=9Aiz`FD__u@e+K?+rsC~0q`=; zRp(JKj+<<;cPEY1!_|@n*-;g^r+1q4c2lG=&CK=}xWDmiUOH8mV(X|}%9tXuy= zT++aOLwK4A>Fm^jRUN@97*+`>mz{G8JO5M(pBXbr$C%}8DZP)8y;Kq61S5|*jnE?N zF!E|#F?w@&szb3YM!#_C&nzh5khE}dP`65yEKsKJ+^Xjrg6yHdElBJ8kVEJw2@(ekL_-po7dAoH+WklHT z@(}kbzEu#i!pA;HkNy-z;i+P()Y>Pr=f~D!s;UuA)J7brZ)$nBFvmU9i3!o-$eN4` zCE#Azg4M0;Oa(TbtiyZ38wrkQ@)&E(0RKu?^vlT=NSjXCuHCNs-Al7|cagugl8xI9 z7f98;P)82?B)N-^2Q835wsp=kE_QoqhGoJ8zl;24p-qm>w!ukB^3_V&`dR+zb-gi% z0@z5}91K$)X3dw(dpVPJoGY;PifQivIrqogm*^dlYd3gh2LVg6>az8~ij6HZY9&8u zy?PJH6=qS%fepSMIrrdrsKC6KYuB3#HAr(4n&~q@|CzQBCu`!3@L;1&CL%WD^crq6 z(o;sS+%GG6#Xj*_TR_}heHY@e+Lg10$)1QEakk0#b$ z*8F^PHL?QAxk#n_)Xz!XRJeX_o9Y6QDdhm^Z1u^#nPuJ?54K0o9d5Jw)3v6e^L>kl-iQV^?sMeo<&hESFj$G61Mi%SZ2TcPhi; zOy3_f<$8X`Tx^8J6aQoZ!f@^bM2w^Y9Y3tO!76{n)iRq~QX&@V@7b1k9e{L-)4f$|8`kOEj-OdUsvHauEXq-Y<_7WLBzoHy7IscfahaF-a?rR0;E6lOyt1LO-!c zx@M6<#*2<8YvlnS6TG8~>E>4)bze6PR_+a=H@uqC(6o1s>yFSfCL&yN2Un<7ga>)f zIUQY-phq{p*xfmKS7pNwqwUylscU4i8b#{25E9tTtgg{zsJV>v9rh%-^h&etTp;fqsaWkUQzNe zH&nE>1#gkJy7G80`q13Wj+AGw*RG_IZZMw{ac)qC{_&osI#(tnFt+$mU92ZIx6a%F zwuD<-%I8vnls`AgdiY57{cax_w#hpmvol{Yr%fj_v^e}b=kWLTZi87W!?zEQd+%!o z0&-Julw+pws!Yv+I{~^j$uyvN4wjU8 z@qY6I7+cJKNAi+R-1p)6uck3TB68L&d$3chLXpFKGo-8YhPYq!3)-)T9lcK)kti>M*#!!Z(=ZLAyCgr`g(lj8MzYLBay z%`-%K55et>dWmxlt>^vf{eE2z*%b|ck4)a&x zAr3Acj7sl|b0T=FBXD5C! z34!;E%!D46K`QwspXOz=uM|yoq8$R63344YnF1uM97Ajsf_y~cO@(4ZW@1e2JD$n< z+*6CxD11L+bHr(_Q0z-=sK)XwH15SGqyO9x4F1`w|jMV4co zVFL9*bb3~7m9u?Z{r6_+3H2*oi*7^_HXS~ul1!d-pGgzr17z5({hD0NKh`n-A2MJ8 zH~0E6Jtx6ijsk5;Yg_$$Ab;w6HpAUI^0ZsQYL1EoBw)O5m2STgMYrGhPtqFKG!fnD*6li92-eRy6WQ}FS`^|Tzed-k{g}@ zBlMcxHCj{}$KuX^EaBs`1g*2YHs|0(#6)x#fnEHm?g-})r+`!JahG!nk+bSlJxiX8 zmt#dE^{nnKWH=wBZ2Dh#YZtI-o0N2Ek<%hq@R;&CXzZ|`yo5kh~Ah!{Xi$D90 zO)>Jb>Z<5jwk0+e;U&#yY#5JN8=Qb|#dzydDeEsE($O(e2aWEl+uz-qCt(1!A&S3d z^W#!B;B|yI`Dx>TP1fQ}5zr?Bt&<=hz(C)98=99X4;#HooM)LL;M}PuE<`@I2 zn$f8(Ge0FcGM@SzfxzCAEX*d>I=4=6 z*H2(&>uk8Jy4s3HvFe!%iCqc|2EDOX93{=XGkHgIsfZ zHB&h#)aM!FX{&xzKEN>3Sg#DF`|Ql20d2f~HM;eb3cA?wta+tY2LH4Gf(-miW|K3L zn-vzC`F4>qCoyezaXPpbiS)^%HvOMdk0FvY)CvL3_5fFB;2xGurmUi@3RuU^O1z%w zdmRy>)-D01i_U&L<7&E}Yn`uiG7$_i!KVVq`CB}iz}Y`qe~Q!Mhu~63;b|h|DDaa? z4odcPTX&;KwLHRiGO2!0eNyv?iWX;iPMUy(xj6veuxRV~Q7upjJvb{lJm!E!DX-_j zB$!XZ+4Y2FIC@Tr4lQ}Ox8^=$h44;DGc7p&J=HJ0Q&mIuES9b_`+JN7;Fw!nwgVW( zfoa*1MU0$!{-1MP+6@}CjPP|E|9MCazK`tMQ=aoJd2LR&}V(i%s0)%U4F5xqCH}|yZ@x{+)z4bYo^QJ^-$$GK&_l> zZe=vYf&6O$-;ox7uv?$SS_26QzoLQZqc9yL{4^oQx^w&96meGb*AmknP%+}XFX%jZ zRIsxq1YEsHwD$zLkc%%pnv~uWl^+lJ1QdLns zXpw@|x&{*Gp0R^aG({BFDx|O00T44M{GXGSAM(=EAIxHK?`dWutV|P`IrT)iX~INZ z-Qb(Z5kX>`2*=E zx8!-W)}xb8tm>WHA)hK$3DXYaz&!Lbz z0Wisg)2UChki}1I`4#K_g8ibX?bjED;UkjQj#hs1Y2HAss zs=yUld=EdK!fQ7QR`dB3h%$rjtrV{o<@(B9#~BA%{RdZ1k*fil=?H$+-y6;tCPiRxz4?r zX%4`r=KOOfj}!RsLJ(oBB0=7}>9pF%og?fqnfy|lv_qEvPXP#KaQ^^-btTKET zZ)Wkd)dNF$zE8aS@}+gb6+H?z2AK{S_ArwPwDAQ!U5F*y1%ASYlHX6opC5voNe9cA z#rM>qvcSn;l-{X-$AtEl5=WqEiUf(0FtdWx-g15CeP(vk1-Q8!X9^_-%H#`?`Kz`cALr5GAfve#DErAyT*U)T`@tdsE}K|X z;X3pX{s*-FeFAmS>%G*%8U115w8ze4PLB*P#8=-}zbO zo90&Tkbi3SoiHC+NictO*G=P)kx-g*ZJJ*|5l{bV<7~ZG?ZO0_jxE`Sd@cew>&+{W zrN`r&|A{Y9;FNx_G$q==Z_CW>pRHL5CDBH=t9A=dkotqVCWJWu0%{F^yu(!1Q8B$6 zwFE2&zM;Bkhq-w|JdkAyPI#blxwE&+y3q7*%;I0qHRA*!XtK`w0LUXopM0Om0rUm7 zJ9q2hpB&rylJ;Zed}!K&GAoK#&ez}|tGAN}xH}av6UWogSWiCuXj~2$YSI~@%sy0n zrVPwxc~kLJDCYvy#+B!5x)h(qZsZy5^U&JxMgnJ`Z;IRZw-j_4vY$*yXqju4g9K({ zf6qAu_n6TRaa-n6AM6MIrW^jb^`nZ)c3Tmh$i)eXVL6OSG$;s?f^+qwa4hISN>4p* zq~CjIVyAx4G%4T!Y9;4R+?PikAhMffyVMG=aL%SmbU%fp)%+0^I@Xt|tw3zGC8E3HyjR5C!r#ZG=l<1|FdOkOA+SC(YqBsQJ zK+j&!ow?VS>l7x&JeSgx5u_CW3|&nz=G+IVx%ci}P_$(~RWk#Q0xG1%Cp;&CX8fvk zIysZk>TA{XQA;hePjFfZ*SUbYDFQo*wAZpm|dUeCRXie>LDgAoIcI{xs&FZT!F1 zyLZPbq8l172gwkfnM&v=5Lj6VEk4Kdq@^EKnGPh zmoo>-`JQBq#g;uvqdDUV$fGy&qM2$G4P zg$OR|U`7iiAo&`K(zI5bj734y4K7>17XA*JC_X4tZ5@A0RJljx@~!K=u6oE}(D$qgl_ybq Zc;eyCvb=#KyyqDBqb#qAER;14_#Y`<$VmVI diff --git a/man/figures/README-plot2-1.png b/man/figures/README-plot2-1.png index 731555de9dcdce5af204a5c3975c0a01d1dd8885..a03a3dd282edb67be930e50f564afdf4d045af16 100644 GIT binary patch literal 97194 zcmZ5{b9iLW^L4c0#>U3BHnwe>8{6L4wr$%sHpa%b?c|-^&sV?qk9nRu(|!B)?XGjG z>QqmtoQx|=5+NLf7U6EIP;6o)0oEy$?4WE;e9dTBtRXHb_9Iv8rhH=XUCc4+aJ}9DBW{VZEkl zsG<@n6G?%wcl)|m&M)zYHkKZmA3se_tK>w1L)HU-SFnu{?id4opbpk){{-WI9f4Xh zc!C<>w9LTYLF#V=QpL!Ezp9%`jb#kc6{aRHi})B=4S_f$de8uaaJX8H;`&}vNkKR+ zJjzm@CPOsW>Hq4}B)o1hu<9=xT~F_YvI*MqkW6Wxv>l9)t-QD97*b7ZRzHaFY20cC zbxj1M-QE#s4}HxuV5scTfpg?oTE;rlLsdMVYJ#xo@9NacH8yl1^w!9rn*r_Qt&s8c z03H`;Ylo7i#{H29w?^8GGGshb)s$uUCgiE*0PP2e*9DD<8OPEzd*P2Te(H*tf-Av1!rlEe=63sJ+ z(}~CVKj9F@@6lrt?l*nd9_&xP|%3>^W$y$fQ%UU(OT|_0jebM3Ak=O*woW^lvWj@n>>a$PxaH&T3 zkX7UB2ZT4M&*`d4^Y>Hc2^DCsHXF?W(OYgABc4JUWlR0~{5;;hN3^$S?RD*S?eHA3Ma}2kE}1PZs`G21 z56qI~*RlmPe$#M~8wGOr_4gS`${wKx1wiT3xjVC#BS)fZw}TJY*cg?2Rs2LRbvU!G zs9)UXRT4=8C-W@Yy<`HFvEB_J66eJv476%@4>-Rsa`u+wUa9sSa=5nS`eNXz>&eW6 z!rN!-kGUD%C4Y83Z+~1j4!09wmf6slb`sVcpUCl^|_I1A}hy1kds2yjf2(B^N zbRVe3gORPzM*QO)ebued*dZI7?Tw7{QKN|+eyaj>`qgxt<)_JR=Os`DPm$|`f-Bj8 z!6pdXf`5Onsw~!2Io|2LrmHo{2GDQMPMy!!cXzK_(D_ZEmYh$}PZC#{LBqvy070-B ztBL=RmIk5(Ttfl@2b%$b0j_`nA1uJ<50`-a`xlU$9MFGX184tfG+VFe0|Md$5*OlE zas@u?gz(f{a%1^G0Agr)Ob`lP8Ba?>9gQ;{=d4|43q@XCwyPJNBR)?iUB`5a`$+fx zX13B|<-Ef-dN|NzIb27xoMe2ie=aV+mJSpG`TaFc9O>JIOE-2M_l(oUYO`!(cTv%gk+)Db`Wh>r*Jht^pXX#BaiN*A zh$9~D@@dyw?ed5j9BejOI2^Vd+iu(KKGU#t#zU^>z4$V`ZCkZQv%J^D5;x|V^R7i8 znMIsVmGnCX!0O@OBZyIgyu95`8J@2+K25rG`BzoZ78Don)(+$LzivG8yv^XfBWB2$ z^of!qKyFQPUJg8Vf4+Cs8J?eVvi0i9Wb;IRzD<1!d3d~rn9DfgJ)AB3L*RKL+~8N1 zl?m9{*-bn^GH7?W+HEqp<;FZTH#FRxOWq}`S-mb)dk30ix&4?>9t=0^cph5IA%MnU zll{7uo}M1eM#Szs{(J0=0rE)bkxKs7G;j5rg(I0q)R1}nMloQ=3ur--j80ZWd0*s> ze*D-Oi6t7Dno^a1bnkpxZ0-u|{y6O(a_N56e%sgmFcxUvyLP==bC}{Ua2E+{oMKC& zUKM)Ozuf2y1LL|LKt3VSC&$t8el~V=c7}6u)p{5GV)J~WKbXqKyQC10wfXm=Mtx6Fv;s^m|DUPBfrt|Ub2}V-HA;OT!h06Odrr`= zSv`NM=Y3^LNKW28F3!efX7ujHtL}QCtZJP9{rfj0fyipJji{BCl`f|JMWJN!{AE-W zoK}Y`B2Tu>bl1`TryO~}?r`+(vPrh`^DA`wO<`3PoI=w0exD>=r=xUfwT}15-xlQ8?dwY95mULybUY!*p zrxBdZMvLT^ySuvqYQhaWjFS~c=uWf?k*uT22HAo$!C$ey?~Ie&PA3U%yd&QUgs4>F z?66LB7?e2k59OJIZVWmc4rMa9-0F0dXW?R3;G{rTt>(#|jbuh7Ya*uPD0DLR-_-U8 z)ADC-X;eB52j|HhT3Rjj5Kpr(FS#O$D@8o+Q~*Sff)C~zFCI34?H&+7P-nkCCZ?&m zn!|FN%V@fZ-u*Nf(!U*YML@MJLNuOC7j28#O^0_+O60QX)y(mOF?C+$rt|&WCR)tP zQ|>iv@p2PSy}>k=!+L&n{}mDs&dX^sot5sURMv~K&)77vx}bnq z0BP2R>m_{8?eldLul0Heo5+)|^yBd0K;+}{^S#?^`Qy>&Q#H}y?r5gVYj$|K-sI6@ zxUzWzi=b7-&ES6gNKltRwQJ-9-sh=5wxOYc2dBQio=EHAY~1{Au*Y<}FVJf^uX_zJ z*)nMno-Q^a@8@ydGOq+J(VLr_mnd{JG|IR9sc4AJqqiHck|rAMHfBOY!-CwQK*+LS()I)4?dFZj%--klVP-4GvI%5o$SaI#ruQeK@u%TQGT_4eis})pKNHt1V zEq#GO6WVyca4Fv$`p#UVOB{%p`Z|lZo0ec9_JW-m)UNt2Q$F7}Ke_F920~NLKZjVm z5MzVqyWdy4OM_W9e-ho`$6$BINQz&&4s#MFUaY!fDA zlx_N4qxtnK5lpr z@qRu}5%GRpM@I_!H-WpkZ}~zHCiImueolQp^PcdVBOLn<_$e3&r?6PBVZ`!``>Vf@ z2_?VOBT9TVc(9P$S9SKhaL88Nd*uDtV>D2D#(r_XODpNMOmB7;x6~r zW$)Y!it88|20SWc&_G@d`d~;xkenwyo?L>s?`E{B4FIen_&&dO`t9qbMkK%_d8AU9;<`e%qxac|Gd2NW&S;R8_y^ z7$3LX_|t7F-RH102gb`F!W?EKgpB_9TyJt;3LZJ7Lm7liz21u4628tB~Ey;$I<2E@R<6w?NCNTX`Z- z=qCFU(Ji8|oW8D+LeIG#+EbtHW(Hq3IO%=f*#O+2p1~hCNEripj7VrE#=Ml6a@%2nBjCj z&*Nopv0FH@ZnX!dx}teq#2|CAYnlf7cvD;nq{DNIB~{1Oe-I2t7^5U2*758YCwPx2 zh$d(g&+0A50VLtVM^QSP7`L0iHAdkTIy>s^o)?#_CP*zOY@>J=&_Y~#qo^_KqQj*t zL??YGFRZFK#u#_>Lma7}g0{ExlGx_`4t`;h;3M=p{wNhQ6rRZ#fn*52Hck)!J%hne zq`N->r*zZ6RiIS7+feX5rVElsN%1H-a1YOA%?^TGJLo7%K5zB%$<(_-qp@t$j2LZ8 z5OW79XjZfE5uL8<9U7}Q+ILq$*uq;Pjvu6KO=8_?NjoNbi)@#EQRo=W`=LIYpL%`} z<0uea=V!}(Ec@+FIGtad4cGm=B0i$Lp$rno#V&uTL$@{Nt=QcqG&J-MZg8xYCaB%z z(oZU0qm8&T*qbW+Te*mdAPKEJ2;D9|r2G!`5K)-aDbHT{;t(BUu1Dxm99d2hJlzSS ze5BDztZt{%#ryVyK}j(2`dKI3lb6^RF|EivKJgaDjQH9ZVh7s-Hr?`$uCSozI7lhu zs_4B9Mub<_%jW(@r03Ubrg}fL59FFiuaX2-d7H*(KwQ^ntnEXaK&p< zx1+C80$?p*sBi)hTN zD$yx0vXVdnd#$c+6h#D*8gPBRL=ws0Hx`@~8`dXYQUNg4OJpU&AiKi>2JdTAZB=xa z{~I9&%<}WF&ztBy5&>QLZ1Erd9pe4G!I)RQ|4=Wa9PBCi{LNCN{WBE2W z{?MVdg2ciGW^}VDrl%(u>ZtOOjl7FI1SFuy$<_2O7i-?Lh(uEpsZ53(h3M2Rj&N8l z80x|666$dUUB2Sfiu>EVF>G)X$t9aay)F$-Lxf)#lfbW0#9I;ix?jq>{lrxAxJe_5 zWNHOA>x{$eY|%nrE7a=~3S`8{@6!{9fw6+`TG7&>cM+%9Mlur7`(3Lm)mq>O6sy#G zee}YH&D!*+@p{#$=k{NUPGA=+)aM?N>?%D1eLc9&6CN<>WIbYQRo6&$E8ofo zQS5MfjX1^}L}RDg9Mp29TDk7+AZ#U{L99fZ1w`6>krLSgt*sbpkpYe*Vv0WOf;aCA{5gOjX^Yek zQN|)9Hm2kOM)opvHvVmVy7*FW9=%uOYu)y^?lD7W| zx7=!Gh$s#~2_awFCcfJNlsFhLhaj&=xi12(53#p9gLWmJ2HJG*3DK^=^l=lc%dECl z1Dv=b>_g65T$rYJjPq<5zeBMJ00E9*$5K)PI*iLQFMTL0XzCoJHRGibt@jRc_7Rf^ z&KP7Ul0{%XMtA6aYm0pRYsiF|;Rl>cbxhOWV3rvrXh)rItyGw--y%SN?K{BztweX( zU>t_|66mHaO#O9zg1_YRtqs%3rFJvNYij_eFX6FkRz5@5x$tM>(12sV5-TH7X}6|^ zg(JD~-BxNpZ=l>@WCn1J_zQ<5U;iu~kcnj@+Vpu}@)0)5w#yjzM3fLG61XA9WT>ME zcO}S;lchc;8U5w3#X~?Y5VXHd>J}I?Yu9C;Yk-1w`okOtyCu;(?2?ZlN}pf|phoj6N!i6R0S`;Vihs`HS)QkTF}8 zD=iV_-_SfeHclnM4}2h$iG%(&-6Go0h=8pa;ID)IPAkx2tb^eoG^Djc6EGrny+!U8 zJVtg=RNyJ097#yD^C0;Eo3V5qC92D>+VwSq3>0cgZdXsw1VN61Hp?#LaRm$d(f2%g zQ-Gs2W5wlse7vBgA1MP6J=$+%zl~xM!wfRj54TuqkI$JU=uC4G)u6s6uy*B z@)Ev`2@q}6XUm7#)mjeQPC5!5Wh5H4xXbOj6ui%+>rbQuk23HiZVNY*HV`7&4?&z1 zQ_Q>i20%JCwS1|Ol(+yyCKg@P^#Qh0@6T_cxY59a!}m;pWjI_3E3Ye&GH9foi3n=T z%CCFyN_;~C7CTszJH$-UIn|j_-9mYd6U*4m%n$9G@9}DQOmaQY=d#K)5G+g2M-+1d zi%a@h^fprCKLh5-ai{ty|6h^J_t=+j7K1=KdV9Ka{(oh!m={RmNbI6{ys%zw6qt9l zu2=BGd5?d|YX69F#PA^QP&{r!63t5g9S}H@PXa$Dc}vj%!-?$w@1FLPbV}_w=?}L9 zVv2wCH!&!Ha3>wAKcD$W-uq8O3>Ty+NE(-6p=Q}%-S1xw_#_C^V9X>z@-71Z=b3=~ z4aGVI!yfjlZz@-bPJW@tR%tFFvi9ygg^$<^sk}4>uG7efq+%CxKlAj_CjD~Ujcr-9 zE~TyqD{7Ua2Biq~Jn zaj%emDD+(v8N{_xEa{a^%C@>l9O;CUP~d73r5U_zEW<1rMso*wTz0A=Pb2=y+WVEk zta`K3Xi=-*AG9a@A~BvRLw4r;T4InRdp|iYtz=LHkP-xT%!&=-T(7=-`BM7(yD(3C zTbrDQMp_*FPd@w{gAqxtCnYIH)_p8$YHF#$3;v7D8+$6ctJ0(hkK&16N?yJpha1m# zbF#%N(w8{klt(^6dgUC(s&>Xidy&XFnQM%|3_A41`!YbNtz?h zYSh;IAJhC}ka5_+(tPnAZ;q$m|7)|;ki_3W0LHu?a}556N&a((nDrlHzPO&NT>3x8 z?D)r+9R-W9EB=o$w*u5@=GI}^W}W|I%(DbBDBgVWaLVg?|C(ZoEm)gI`aK^h298R<2tdeC=3W-3Agr4XF~Qqu6v{U{>>0~XlGMZsR`h8#W}GR_Zdu~w6~ z)jMR3TG>+&$-{v|7mEpB2PyPF-n@Ak2{GftZe5jW9Tcm2aU>^Ql^II+B?@TEH=)Cg zuR80ujX=FWKe_#H3im0)RC{py9&x?C+I+rx#OgBK6CI7VGNi zEy^oNYR!g74vae_=WML9g)t62qBL*97B6vkB}yqA3ruqH!*}TTNFYtik%K`Eo3Tot zL%f*=>mC#lCnwXjQlxZv(^2b7N`bgLPBEy3&27WgU+Oz&HOI!#1nk;m^=0^#QA7tJ zOke1+p7EetzNL?iCj97wHU;5G941#^DT<7VGcG6+ucURI zfK*Ec#&oH}pgnfbG@!w9h;0J`^Z>~IwtLHVx2o2DG{e4pvOtAY5`b?ueuHU#Wiq9# zo^7IYD8MwpnMI)4DC=+;9eLTO5FjR7FyX{XWPeSM9s^jk3sm#tZKxOG4)@PPCH_=N z5^&Jg$pe2L`BP@feL!ajsMhd-=Kt5U`Jn&006hdJ^#1_|05!;eP%~#Lz1lQO6Y7P` zI02WiDj{!8m)RtC6!jk@;iDoc_4_PkisZ_9%?M{Pe zc5bfbx{5MkG9yhNzj$>Ir>*;|lfhVj-I*}kHiy522POxIwkg9o;0VLFU;v{Q;JFU$2M;x!J@~&rF5HdSY@&JN0}H z7Y+8mrKUJwUo#qDCzr>qL9z$^52rx-)Y*Agbt^Qk*W3CM9R;9z0L%cKsJ(H$-{9V5awfji#E0Cw@09Bf@9MX{D}? z|4+dTz-+!f4Wv2jUzSH`Mub$czh&u)pa0S^+F#aVe3TH1e0S$mM%-dcy;){ERkF&l zPX3=;K@n0G!RF(vd)s+BQF(MBY3{8XnA>7g5PO&7b#q5nPL7Zm`fb$DAK`*6If+UT5YFr0w&1 zJ1Au1)m#{pFQ#JGV4LrMC^h8*Qpy8_61gW!zt;~naL$XC*ydC4SEp5UOU;;l+^pP( z)OeA0T)gh=aZT2y)9inFS8oiTzA|~Mc!K;Wh!_o65;dka(YVOL?Spi$_>iQ@Q#)ppS`nR28^heVp(dP{6B9ar3!Y3^yc{OS?R*1C4C?s zPrQp2gFt*Z;_{2&=YL4QXP%EwlCOA(?MUT+Vj4h2f(6nP>Zk$pl)y|T0&b|@VEXG;hyCM%AX&b^X)JyfKsPN1qv-=)N{{knxPFy!-4z<1l*sv-!z$hswU=8G^3VKV4 zGHf7OOXR?fj9kUoq8%*Euchc^@gjOi2q`|RTuK#XKc|lUiKgI0y{nD9km=$*vD4W}Rtm6l0dEw+3s}V{-l4W23SYjTd+~ThiAl(BSK$=dEaIIi*Q*{9 z+uinB#5U@{VMpcfvhdCXZ)?#~CP<%3@!AhS%js`}Fh^%x*ChZ3 zrzZs|^@8*UsQZBx&#@QD9L0YJArj$p6!@koCeV6kwi%+1`I5_O@bw-F%a;LP?skPF zW7Qj%Ju$&E$(YdP2QA#k9zq*-l@J5A;PQ*opAk=p=u7{`vrpySFH{Z9&9YtvjxdT} zf!j=PzU6^61jotaY4N*+-P1L;?_Psn-%v%m?u^3x?#jpQje(<$u_W4X?7$Shg?UY* zu`ZoZfoU^ugxN}xBH3}ZJ|e5TnDMcDk;NUQal=Q+wV9OXSihr)h67x|_P>DEKfWhK#osuI#=S04?w+D9@KEEfp7u!mt zJ&)cu-|K1w?{;$s@-^crH&6DR(I~$Mz*BHZF|;RreUwp5gOc8!;SLY>2olwuV*sAz zRD|~3zFdU5xCn$nud!NX@x1id#ID<0ThsD5-t8|j>#Go;%e6QnPFVeu3HLG2^{Sp=Y@ z%wSm7ry37g7)C}K$l$);ZG}hYockMp%yOtxF$+e~ z>rDuRBh93i>ok~?4mCTxltmSJIUA}wF3@spSnSe$sr@SR(i1{iS$T-|F9MiBmW1^B zVGGshdEsf3@s`z($*IMpOYgq(Pec4e#YjZ-+hEM0wX@Q)PGH0;9ibomf(aF=X1UmK zggKdW(Qfm?Z4P&?oN##OeB>CtH^$Fu_4a4Ea^cXHG0`&r4yimLrP8oTLCbXCPgFHt z%zoxJ$A|xH^^-YfjSooD^ZL-Jn9ycvJr|D!$THSL@v=*dE3nDIm1eH@_oQdMzvBoy z=hpv~&il^b=aA&&^Gj#Pr$K^E$-gY~4c~FQR=&fY_??U!R)C(v2iRSSVING5=N=2# zP}0;IZuYWB2*BtU-rD^WO9P1Og&-%pX3l29DY`lkXtcOM6DP8>bylc3M#LPEtf|!y zoAmz2{HGxS0-R`!HN$?jeqOr0*zzYh@g+zIi8;}spYoazjR^9^PGEJUfH9n7nE zzRoJV)#mT9W-?rykeXl6hIP`=JS}P`hS^K`_iE5{BTgetAG2SyEnO3CagMoOSN?3p z$rUpXc1H=_Yh{7=Jm=qIV*J%Nd*&TC?n;22VsrW{(bV!`TD}7w%>fIIdSp<$`4>it zRi96Di{}+Xg$YZjZ57dXFMk=fk~V?Au>}Gdz=sS$B}}qNBO-LliEqc5>?9&FjHAfub&IQABC(X|{* zhh2{-G4dlr7&tf~q%I%9w%fdeQiK6k&4(e&=75qdMjs3huf4kX63??#geK7T9m}`W z|EG>$Hiu!ZCgUJt3?zPO+GJD9^x2+Zdfb#{`WGf>#_4m|ov)8%grOTIJfSAuT~@PD zy@4#O&f2De{6&dzvM^!w=fB;$P=6(aoFsHWy0&||UZ-=;*f)Lq$ikQ5bwTs+sj(Sp zxfxwmT(^(pGsg!64dxN~7lW=uF-g8O!r1agbUhgn>S}SFwrl2=7LPk?f!6ci@34d- zHHGEBw7&rxEx(F_)z7+)9Out74k}ow!b8_r(Y7j50jbnO(Z~Q2b+?jeE^n0Md74S; zF}c+a^;T1!8NUaIZ=-88>&}sUV}yUCDQ8osVWe1V*7%fvc=XZi z!sA&Dm$#?s$;kSTWA+G~NOql1rtZ>yNBJh^gC8(af>8Snm-pr@-XYwS42suh6bkth zZE{MORM47~l6{s2GT=pX>$UXLe1=6n)X!C6?E3mk-^tM@lJQQsa8JBDoqRk767<2E>lN|*VU&unkuJ?I;qmJ_)%pM=|?Qd4r*E@m9r!l%Ch32%XQw8@=$MxE5 zPHj}%PO#LrGW?{J_UA2Y=fWnkd^E#TG!uOt1|mUeTS^|wk$4|()DL*3{n#Gq*Zz2! z0uJG1`ju)bN&b#yV2*BnS4>f!RLL9l6+b5ECdJjhwdI70<`@WLa#&RBQ1O?=jF7nm z;Vy;Z!D{D==(&O+k*Q#G(Pjz~#n?lJ>_1&AW|~^v6LNBXD_2F4*I;k6ZfbCg<YQOE!gLQlw{Dga zZzagueYk%-odtzE3q@7sF8TcgjwSD0ipr9mMX0amMRo&7)O+XfIKW9lwE$5}|Bo88 z-MgTT4FNXWGGLNgSg}KtYn{Q3F!aEEKSE4!dU3Nm9qa7*6K!+H+O%MF$oLVMs-M_{ zz=*{5*{y};R{;t$S+IP#LCuk>^Y@*RTIZBy)@IHS>?*pU$kXv4Dtn<}P~sdkjiOcZ zSS~k>kWN`~|IRK1!_j8sa7V4~Hdi6zp)u;0%G+6kPiOXr8r0e7-;Id?YQw=Pu^(6+Pm>&j4#2kgeh0y3L z64$Bi*8O3D#v_vwqQ=Ig?kyD_cfTIw7Zkb4Adrgc8h=4lvj#Z7{A$pUZt*_<4YgE) zh2k_Dh()Hez8=sA!U>fNn~0kFyS@8MqdeR}eqHoS`5o)}qNHtmDQJ4O4M3!m4^XRN zcWlw-Vvl71a`fr23X?3aU@2-Hg-U2fOWCkHn2fE4Cv3t&LIVe%mR(odP>*u{4#NRZeVgUVCyOv;^6{e~2rvGpwpPcCSU4(eC}|<2@Hdb+enEOlO^DZ(>3P9W z{U3d4`1+hS`MWRK+}^nS5`x^gb{}}Xvx8smMAL%sm2n45%&4Kx#jv&?gVnP_!9L6O zV-b<>qbaLjIhDs^5EB>a00J*KG&&#=wvyy5a zG6L3D2TEPN>&xLuI(_w9*@hkrY$!{m$T5}o|0K5IO}13LFuU5g=3pP5RM$xc3=Mu_gm3zvBb zXj_O^Z5=MdY*|(&EWyd_lJ;v_$%$ScP5Rg?;;8G3WqyJ3JgJrv3B3}IP_uFdkXUMb zrqIInGOw13%&TAm5FXp_uwcBD^0yKh=T*n|zpfk~@sBnFiQko7l^&I z1`5#fyvQcEba@&;+vK0ZF~BoWfSuU5Lgv7*Ps znu%b!?VQ>$Q+N$wYEjAxX><|eiHe7DaJ(mYrV)(q=0&#}$$Jxq;VA`Chx|4)^7g0O=1{-+S86g zTd|yBa;tV|z-?x2hTkJ`$IeV!PM}D0W0wn%Kf%&^p~`MA|8lfNyrk8~E9A{Krhr5C~g#l73b81a+)4 zu(LvB1Ziv>txe{jX44aq4=*fS9tjRuBLXDYU|E3hAPO8D)Zm8oX+q3VaPi)mCNo zHtj@l(Q0wvs!~4wrxXsT^@Z{I84)3`{LoJQlUIi*U3F(!4UUfM6pE(sH}m?uZrB?U z_v9Qr_zh~|{+K8JOxI%C5UO3bwsd$P^CeVwh{OLOU&o3xe7H!BZT)il%k@56$G?2^ zSIQEc*5}9%BZi0j%;w3SsZyBZ`=AB;+7?>(BVTi@GoV-aM#?2QgY`~Nb>J#plF1t~ z)hW9IP;wD=9op`x)WpytaC8k1Ey#FR@X=P#fK>@)RhYuSAL-e2s6201kB3(?F4P!i z-@Tp(VUrMkt#y=3-h3g>i)?s-zuq6rle-wtx}vN9VYKb9#9Pw2)?ZW6qt$j)2cMEn z>#iB|5P~JNP!SrfmUty|3IfOwe9Zy@6@xkR7AKQ0zBW7?KVKg3f1usRg)_nOyd5^N zcwThv)FRjSs4vyAIq2PZ*zwE9b1HF@w9Yt2vY3Q@SusY%{}Hoer~w+JXF)Mih)4v(sA@rle+h??(Tz zP{lGuJHeKkgVSrQ-dAl5yEFwclXku(!No7b5}C*x*19-W)#h(X+@r(?kakPyp%pt| zht0WuH)Vt4-GS8W%adBGyE%!wg|T|c-3~NPai7{>$0x6}g4ygdnt=sRdDv~faP6^4 zndUcMZ^IZI#RVxld?O#h-6x4l5`16{Z_62$*QXO~?~cFzC2cO=+`1r$grQR9q;+SP zDw>_V&P>kXR))MJFUlk@PTf(CQ7C3mCYd59ZpCa#Q9zp?Lq}kDj*CSVn}DWGARAi7 zsltBofOfWF2dVA2OPou`y3vTpA}Uf*!SHBR^yMQj@EKv@i=8BKE)$8@PSpJq-lcj5 z&r;#Y`&uHqT2l#7V`k)0Q>K3;V!p;PVh)WXl<>FP8UEe+G)dZyNABB&l!1z~F`4Up zjtn|wvgCCVXD`RN66xZ!%&WPSQbsb+TS+8z-3<{{tsA=+3mZOw zSV|y**V64C)4y zP(xy|BH>5a6`sXCEqrQ#%=58`wAMul<5cPGxvLsEzk0T?^G5OdvH&qIuZ^Y&f0_2q zs(53ZyHNLug7)K=U}iJ0cDTFkmKZiIlXqJQguA;yf>9xbSt6UWi?DjFZv7b|PRD(c z1as_Flgm>A?XD$O`C3;al8yv_Hirs4da?saM`0#Mw2dyu3#3f{_tDMWAsg>n>{R0C zouQIUV#n28y4@@Y8{g#>N#bBC!6?bI2Ve1#4bczNu9fq6>^M~4D;t=R^YGAU5Pa{M=-INaY((w1FH zL6?*dwjTmRds%s>!caZsm+QNQ#Z5c!u-(suAP$sGN|RF^E!xryZO$x)z)!|c{wU<8 zU`2#~booK~Q~@jZvuBkF^19fZJKCj5n))4hh>YJ2%ocaEy%f{kmF0B=c;dw;9j-T# z){xs3w2g%6#NuD$C$%27b490i^IcGP{hQG!W-(mm{144Y9AcOIYdo6tX`3Bx1zUFg zzdY?`r_~{XC{bLB4_mGIS(<9)~|z0xZ@adPVN|lX4uOYpChv~YMpM;(Qs)4?dh05$6N)i zNp5zG{@SjX6D@hy)Qk0`&0Vk9NL|d!Ey{mLtaCS2IMi6WUGrP@M5OMHMILw(u>9{=@q5VF2$J5B)h`t>uY#^SqoKFc5-S zW5cI))%8{UVc(^l^SWG>GuBwPe^i4GYZWx%LBqE6`_GQA^>qascJrY)K`ow#LsT0F zyB9>lfOO%zko|8dN{*SYw4s;ln_pSAk3+!hiFSvlNS`sIi493}X(IOsukYl)@Qoaj zEU`Z^nd?FQ-rDcEaO?t~BH?9GqG75dGde9EaLN(%gr{loaqfcXZ9^tE*4$|R!BPPg z!t8kahSbou1^}ZC2El&U$SL$34z=Gyl_&G#-88=s#y1lzIR%5^hx2>#oa`ybwq5sI z*Y+DG_i<@dyGPBIlWZ&P5W!^5>3;9UhE_z}9385YK^=pvkp^3D+PygesK@H;j^EWs z_|;QKViNCgCwPA&JUwW9dcVgvifN7Y04Pzt`;M=GGzAv;x0oR&j4D<*d9TC+vE+qp z$BOTlL>46!4f!~WTvP`PQHzc+Pw>_RO58*vDDOi=ba(P)ET=kJ2*wLix2fKhj>MMR zB6inJ|64ok%Cb$jO`JAE%2QRx6oqzGc-Gy~WQ*EUQ^{^a!*~5$#00S?PXb=g2M&#B zMN0H0e4K_JDMI&}Q+lWq<;#0y@r*{ltGsmRpUH3as zB&j$SUOOzu+!kfEv^Eq@Oz$BatpRQmdON7u9fPu}@dT`};ZJXH$bK zYHiY0E)uQNsWdWPF=>rlIu0+bPLbesSNfI|VR%Jpp z5Hw9d(=pLKg($?9r1X_HSdh#8hR$eVFZ>eKM zuhyv${B4~#ARCd7p}8*6ooZB+%gn1HeuJ^jo40)R!a#cxt-yXE4o*e)SMu3&XIWVtBq_Wdh3kN!Jp{tZ%riYW_f8tsk33w$3OWxegiQ8^679$LPC6-&A@mHm5 zP!RntCSX3;IZla0c;9IpE@tUplDq4Ejbw}M=J;{lS{(UIvgT`6&o0*JAGmq@}pth6TU0sv`Et+j@P<(PqUfbhxOGel}`ORdc&@p6vS^hAK8?e_(>*(tlc{pbWLKg*klCh!NB zttdfZmp(J6Il`z_Pqn7(&gLmxFLGDgJV#t@gEm2IL^IP-g9g^9(VVn=8VT5NhX&Rh z*l619%*Dgb^UIRl(m9Ufq^Wa7rg8*C8LPt0u`fktRj!m4dNK2z?}^8NGX&>U^VYD3 z`PHV4R!{jGk4kEZ*p~OLB@C9PbjidRA33)`vIH>mG}X`Ows<7rlJuEyEb-r2?8_n9 zcqPiS{WEt~TkL~wES4FXA!v(;xyQS5&+eyZ!Uuolc?|Rl4Bq5EJ zWSL!ZlY+!a)ScBrPHl85`9l5yvN1I}` zR> zxeCHP>(Kc-N&fopMY~cu54)~!{OXi6wq^GHz%X1qylo!TA&!q*2J3cfavboi6S(bQ zuTP1b%v)Q^@C6a4^0gEu0S5?Y9B{0VniY5Y>+||@ zwNQlJ2_cQ|P7K`JI>>)D7|7_8u9VhYN1dc&?ry;LK?F7%`5xzLM};CdceHY-Vm?(HKa%#Y+*xR0}*5fmc2 z$?&6N%{6S=?H}&#`*W;rJ4PlNgv4^+aH?^(Fftl`g4uJYlDR7RO5}2L7^R8Qxiq@LDj_)voBh;VwPJs5hjKSmkvq8E{R)fY zMC;(4~!iEKNKq9}$HyYXKis>ORrLNiE!$C}nJDZ=#&%ka}*okQ3| z!=#`aRr77Qee(?JIA7HP9cw)izMa{q{~4mn#-AEa@|QoV$9ek7EYD9zE|;yp^Xq0@Y#zDga3Wz4ZO&7kcI@u1 z#|d|@zU5fU7u~uKEXqMXeNpw0Ot|UZrjU}-&6MKF<2%g%mJvuld)q_tTkzbKujhMX z$450(e0ToC=hxzf#Z|~JVpzo)8JIOUi%Z9}BB!B=HJq)C!CFXW5}i(XPT^?xF?0vJ zQR}Hkv#&)}AtdyCM+Y8#^>zHi&fVB?=}P-Y&;SQjch87CNyf-K{YHHjnq55IRlBQe=A>y}nzEpNoD z9j~isRYuttFFEnzj(WVhy9qs>k$XQ7f24(sz*OJT(`#f!0xB&p%eEuUk%s05FPdFm zN?{o?l*|6216q(tpR7(FE_d>r1SW|Xl|{p(#>U9scZ~=At28x%4 zFLSsYQsn&`7NfzNkDZN&xfD&ybW+{yz&w~Kh4lt#VNGl1M5Y#h3+e++sLU)!X>OR2 zq0De*I+110!lAlOctZiq%P}hw_`>N%i2mxPS=A$I!VPPRX>lLH)304t1atm%c{EJQ z;PNyLp-9@C)Cm>!h9DX5%sdD8k@)-CamrhZ+SW8;ZJ~RmHL#h-W{BmCbmNlgG+!nP zl%Z3Ay1e^358%dv^*DCejTd(|C`a!BN@x!sYQn=0%t2m3{2^#X(tF2ZN?JQF;sV`F zr3D!7lmxSiOY$xnA9?6yVJ3~NBp5(+;%NvafMiFPX{O})9dz~ev&YY(jR6n5bknqC zQ9iBY6XO&=x-R`)BcKt`2*itkmVm~Kl+M?OK$s6m@dX;4KZ88%cGWkS>oI;i3h&N@#ip%s}H8ZJ=^x~Fp=o%i=AZX;|4iG3r>qxC)8 zBPrcPDP)?N(Tdve+8a$OB2o_fU!7l%GTS8_d-(;F2ltLh0xL`KAG&ca?%y&C1!)!( zvky*p0B*X~ddFL5V_snvqNUgp96($)6;T&7(aA=s@&_ND&uCj2O2_r$B^UnZr>Ak| zj5b6{G}gL2jetfVJ_NJ`G(Mbkt|$cN(;_|?N<*77gu-m`b4WKfbn5=GyCtr6;+KV^ zsvh!dd(evl63^(AK~m8k@J8<%^Y?l7Jgms99CJCUfHV>f6OBO9(ote7!c0dcm%Ztm zlYh}EgSwIrt(=d2we9Gn^lTwxk4tRvE8M9stHgH~r|zOFDKYLxnrvo{E1eTblGER^ zC=D$hH_FY$*mk0)pQ3>fx3JlXJ?;D14in~O&PKj9egh>TneV%PHtIS(svniq0kx;o z$cgwUidj)ZD|V>M)CZUG1|Po43#CBIDV=fR!Xf`tt>)G zksW1}WY>3laH`o!PXwZB0Nl5%QW<;2Q}#&n9HP-tZLLc=+m~|#G;VwD#mguzwj+;T z0(8;{XaqC@6N!K(pc9F9iqw_M5S4%ZP#GS5qKWQ{=r@uC?@vl6Y6xn)UD(&%z$iOrY|5@gp*6;GXM|XJUQkV1m_})$_bBejyeiq- z=Dw<8=Gcb4uy{>LTOBcOxsEY7b@yoUSxfkn47*%|JouB-%{z6Huf6xz*W_PjnIz ze;W;=R?)M7NIvr&)20;W0$g)pUF7#v*{&Zw5f(t&+P20hF0lREwOM6THAP? zXaYJ~SoL`t0gb>Y5zqv5l)z2*(?VrcXG*0cEXto4}Z7*0aipJ>HfZ&SAy z&m3<+C5fAfJ}#Xkhrc~jkK5sf7qAQ)0;Op<`vx7h=THTKFEzzEVLWu37!gq~mJam)`@#iP@&>xWT2z{IjauS6 zB)XwSYM?~)B0U78bNPM|$@y=N)~OW+QF+;0(~k93Mc7b1x;dSlosOm^4;&1xU?lOw zD(;}Bd+Mz1g0r3xu`(-W92-MDztj}B)xo?YCHyVhRyb=cu=W|Si*9F`mujA03Ps4?yd`tiMnL&zpM za!@LF$>T#8jd%X!hZ)KbItNhzGv8oEBYgp?}bA%0FmvfDxDc*VbWm2YaxO z1UEB>ss_|e?My#SnnaRFJoa=PKxeo`#hxFky|MO-F6zJsa8|k%U)p#B8hW}BhT`zi-JPfL7h4y{Dtg5G3T*{gk+U2p-KSM-rY3hA{qkqS zn$|1bbx=at6LRBtdp%Yb57wc*R)r$v6{Dl*bcC*^0<=}w`k z+8gj({bJte)bRI{4eH><+8Gd>p$eodkTfVXd;x|y-+ zr%Rq@2sB@?;l<}om{FL`@Q!JC;?+)C>_>3l`aGQMe2qRBPg0U)qHdoLt+o|dkVnFo zz~rQ(dZCvNlEKrA1@7T*E0=b~viYU1OYoi!;tLCgu$&J&0sk?oCW=Q)>LCszg%Lf- zy(F3RP>P^6fcErDlo>LNW;mBi%OT{MbJ5}NKnqYX-Iqn~_ER$xCgCbt5z*qXIMNb9H9$5BMI#cc#(rs*O>bg#1N_k@&NGrRD-& zyV%Gj^ent>;UbQ~=*UAW2}l9mC)ue-Tc5cSYYSgNIxXfyjNSfx^CGmG=g~sniEi6D zN@dfqzoP-&=F8Yvcms`?Mt?hXQ;p%(^R1|$<-ZtuNvfkerdGP8G6<;J$zvy)oD5;= zK`B)%N=Z=TO*uK~_|W?nV8<)zD$*NwwJKZ=66^oAgWvpgH^=Q?nH$3@J&WlmgW=u8>`jlk#- z82ue{boGtuELqwO1Oj{`POL$RY7E`=m{|5ir7#^-2dUF0+f+>~l|Ouu-! z4YP`A(X3V(Bm8d0^ZProa9$H4!Gnx-PHBpe7SMsa?-1%-r8H)VUvehncCEhI!zPj+ z6WST_(Gy}APm&Vx8X(3!rf?cwYQGHIWhXvVvJ9Dn^cFivK>3jrcmZ`$I-tEful^T< znFAe%;h-eYN*7pdPAByh>F3exWfY}e>+T%7F!E53^JMoKTrkz5z?z3D`_O%rag!wT zbGWoTa|wNO?p2QE75NO&>AE-jiYJ8L>vgy?;yq6P3RoI`mNDtWxQ=noe^26D!V$Da zy6CSo1D(_f4ZCtl`h(b8+lC9Rd+?#_RzUoYMkg7&;pS!*RY}AdzJp}jPZIk?(`Gbw zyKp1*Z;!d0$Z;?tmHiyY(ni8fU!^9OG8}uR@p-%@XC3maSEcRIbr1L5Nup^b0ZJp8 z7T>ax#6M^wm*m5tUcJu%`+usbn|?_Huv1#sLsGn@x(G|?&PkHoCyjfh+7aWQTo+rn zTqSd1su;w3E2^OZ)8)%OuyYB2#j*lMZyFuRkI}5YUE7|&ge*p@a@c!U35ttsICiof zi|DjJC)=dPFOjM~9d%u>P_J2h2uFDTkmR6&So4V{%-S@guU!-MWw`sxM785u^@ys@ zXr9G#?G1NcDnA#mh3RxXmJ|e321h35cudZ;D>vqLT=9s4TzVHfse6ZG#Pt2EZ5d zrwwlQln<}89BigB&_$mE$9ue#EK|LK((Q0hKFOLLPG_}c5u*mtN+IkfkZpdUQkj)&egr=LFQ2#buF zJxEtn7GfcU&`74V2z(reNEQ)F@cla7!SJ@kJi0zVU1iw|7--_keZpwRcy5il65YS? zXtQ87+Gp`_=NUMRN4s^IQxAcpAfWOvwApOP$cSM{JVs0-0Y0G8u3CnUvAAJRmkTgG zoi0~KU@$Rkp;IJ-+&ttB*TTT*Vl*<*NoriXAX_=aUr^brH+Qj_;Vc>XCd-kDAR{F2fjcD&7p!*$tMQMdw!0_Wg2``~8`cN;PBa+x}dbFIRjg+{Tu zre3Ax%5v*qtjxG2Zym*v7y0%@UyZhvc#)DlA0?WS%n=L8iJcN%N&@M|DU0h&yM*M1v2vjc_bw~PlV|qgwF@++NvAxIQnpj|d+^BWrC3xrv;{mdwSbs(Gqd zL&AHl@sm09{u`?CW<#fvgqBeMa&A!;JYI(FeABBe?}e9mh^;jkpdN7!XHk$wLsk;T zOw{;m8Pk5`zG3BZxn)5)o}%6-wHTBX)J8RcFKu0d%OsxuAZ7OT;$DkN7FP(W$alpt zzn4%~Ya!f`Jx<;x3IQ{>(vpG2jK<>e?^P>f5vxI(~X_y7YwScv;|?^p&iUqB`* z8TU?kE+l&V65R*64oCAWmS@9o=cVFvG12&^QhABHl2Zv4-It_A;Jr5&;`C)N{gRR> za*43AC>>wCzl>zB5NBFX!^HUO5!kq#>k;~ig}JK|+Sd!+L6lOe!sy=EU|xn-yr=0q z(xajXmC+T`*2-K2NCxFWE)p;KA3Je5+`EepT{jOipZ{bZ`IP)-J_MHKEWz%My_9SE z6=7-eHDON1Y|$`a-$JPGVYDLt5EX##kW&#jGt~o{Jk9uB!_!!qdmZLwRmZMAj=c?@ zMr6=xeCyIHl4YJFMo}lbFJd=c{$yoP?Lb+xvn&2I{OaT}{N=`x6HuDWpoLhLh7Q6D zF_?+q%|JW6>18OUKhg7yp`M=ZK~@3Dm@6BO!dB%}KEyirb{#|X<#oyk%kA^2IPVqIu@xESxsGNWIJci9(u8{!EnuXj z_}wN|6=dK&Yi23kPmzLF7i228ObbhTm)KiKjxMyiV9gYotY!s6!%|&fj2;Jidp-1j zS@O@~GIjJ!&7qEFdnYZ?5}ejwUxKseyU|EPBne3?n7-?eW-FBgFV$McBW?KfdQ_~c zK#29W1Yi8(7x^;RdmsGQfBjd?pFbaU zb#?gN?|uh6S90Y1TW`H}*!qnOKl;&+@YGXJDdEq}H{XoUeC9I=eMvLw8INu6TF-ct ztjp90OacOS8iqXj;Yxh@fiisl?Irli1LZV~F;S<_fdz#RP*0NjZzAzdpN$124|4fB zu~Lp4E+6`@DAkE{>XwWpC=XR)cAgbCmS<8gG=LU{(R^DWA95s-=XyHuB#H4;ZS=p% z{ryt7l`Mn%XmO3eseXs#M^1V+ZYsJF^Rwq+E{SKUtpwTWS;{wNt|eD}4{;gZ6BcLh zY3gB4c`TeE7n*#nG^%+K+gn~4RBpUGVp;RcVrG}$O(`r*y{?c?DbJS9{p8Y5bIJbs zi*Le9>ETFHvw1n{EbA!^v!f%NiB|gLbdZ2n<#PF*I*A^S4dx6FA{iv3BrPVtodUCT zWQ6nS*R+l52~8uZZctva$hJ~HRLFgnlXI$RE~V34$)F^9rlW$A$aEZTt;gBMAe}4c3)f@^75?`-{#Qg&g&Br?#I`ppFX5jq~%|mg~)fXJ2{zPwQ zZ=8j-A6bK?Z(jm?&Q-TqiLOVNH+cx0K7AVh^iThUuYBbz^n07fdxi&Yw;OBLtiiTz z+i>4~_bKA`*0;VDKmPHLRYQf`eg5;G$EHo2@a}iN8!x{2Vjnq_6_p?S;0L(vw%b%$ z_uhLigiwCq10U#9-}wFSf3ME%>gvKf-ti6y30}T@InJLyugZV!x##e)k9`dP`@jFI z$g7lj#~pXz*s){7)-M@8_qosE3t#wxBC#7bY*0k{o$q|7IyV{qX$fdDjFN8Sh!7C6 zRaG+h;b`ZQ^>u}JkEpDXW?olj$BVUYN*_Zch-nNZ8Ag?*7$2{mfnz-_%EEbNb{Wd) zvvhBFJ)Y^ffO0O~%A@_Uh9h`a$wJIww552HjqaYrsd|t)p|#X!4N&Cf@6Cyz3Ndn|ye9@y+p8*_Tfo*I%TLsl-v2GJ9B$Xzwk^ zoP}+s78=ixgmTGPl8b5xZg)CfJ=aVt`ZTYhNa>Vi6H6#wSU&BdE1I*~b(FD$Gy ztvwf^T1q(Yq?d(|pPmM~7-yZ5Z$^zuqx8~FB-~t@f9}jVe01&FQPep26p3*4zO_|U z@#us&sGph7@U4`Zj&~|7u;YexCD{H_9Ua+|jFO1va(m-jt{O8XvJGx_Sj>pJR!64*|B2>wrts=q@xc#^iUt6{rJZ}jyZGY;HzK# zDt`8}pQ&>)X;}I4%P;eV-Gonl>QjtV#%pc+b}U`G^qTdH#8n8dNOK>2@Ih6UkWZ1Q zO8qz8bd%aQmH%l1I+aI9w=L-qu#xn9bzLEzxk!s)cL-}r&A4M0mr^O&nUitVLRz9U zz0g^MDqFTP5|WOlQzH68M-BeCd;kHpP})Y9N^oDq((Hw(>A4ISeP2c=v9@27wGjI| z4^lU@*MLHZ;r(Uz;HdLBYCM+^W|&S{(i9RZk#`~yF358Yq$Sjbe>?aJ-m`EC7rWz^ z{zxqKb@^*>pz{#R3#xebOS2b2oV?#Ow;0bKZ=)InC1)g}F1Hn>`9AueWN=IBgt{oy z{odi7_~@#2*K`pTr0%06k&GG1ZekcqlHWRSJ#}AYi915KJ;3dBqW}E9%W&tlQY9gS z*4lJ`MM6%~BpUDZE{XZsZxhRu;$lf~jXDNy7tG7SnpK53e54JTbXG2s$op@fPhCYj zPB_odQ0Njo?hJ%&PGmDWlf;#`aS7R-)`}Nec2G~(iuDDnsdpPcz60AJza_-#+F4g4 zWW~xe9{bj;C`4I_9Sw~hl6n&sP**d0Ova;5U8Y7L(Flkw$;y>0`-)YL?e50~+t_q+#p-E|k{&6|h2@4g#vd)wRkmbeXzemQQWRjXF1W&8sN4yfh& zix)5A8{hbbaae7o43T^qNeHfSFOqF#WhGp$UgOhi)h{XoaxdSzcP|bfK5P`HmjC6L zCZK(g=r0<9>4Sho@wsO}*v07HpJ%kD-?g5>C5G#)_qnhzqY(KFC2FJOvUT7xyqqXv zJ`zVEUPabIG}5oEWz*qP!U#`bR>XJ&@ys->R7v~#? zNwya#sc{Qc3CtvW*JV@H!BGzDx+46?ovpd{q-cm6p5{W3g**9|o1Tkc z#${w=IjM6?1331%##4iP%I`uR)gzKIRZ@jSK00Xxk`)12dN;_P^r54pLm5Uz?-TvZ zFMs*VDxc_79y)YLNid&z<{2e%6zQo*C`DgWQdL!z+R8tX-b)=qAUiud)qWwA(W$hw zRJju~_K5^EIz<~|U8{a6UkvhuR7<@^5*<*Ho+d-m63}EACEdnJLEsV{VE^m{W1v(2 zFN2cJKV4lg0{LL!*aO}~wXML`^Mx6pl0DM?@$Ip)Et0|=Z|h21Qw zaNY*2qdp}S9aV~s7cV=qDG^+lJ-_#0)c-0ji{E9r6~AxT2A@bmg?pN*hsot|@!u(G zt6{Fm@9xP)(O@Si>ZgZIvSw<2zQsmD)#c@Eu9Kg!E8l>Xr#UaD7qJtZ=ZB)Q=(p)?rsxstr> z*N(HzxW1wa?H(u95~yPkp}K)L7bh4`{WnMI=&s0wOd1o3ug`zlahg`%(v`UaI89mp?qqKu(n4QP58^7Hk!y|}CN*61Sica4BX zV3H6J$>#IVKaa0{?Q4C+^xU~~YUx`Hl0;IOot=%ZfBoy~bMW9ntXsEE?H8RFT;xGPG8=Q6n%x2y{})_02sbNc2lsMk5!|d;5pIZS*JFyCgi? zW}NkOkR)2UBx}MV#;+&WQhq^eJl(Ky8U3Bb!x29@V|1z9R)&XXzKc@P96FmP2_ymb zcW3_p?7atkT<3Y_`%dpOD1#1=00H(YinK&EOS0l}T_am@VsE^OcQ?MdyU9B1yPMqW zjT8Si{g<0f)+rk&u@lEV?v8BPlGO_(_D+BR(R&$8?=$!R9&kvI0?7eLN)$aG3C!Tk zne(0RJ7?xR=Xu}fc^8cG8J`8qBn3-s%cnl|DMPfRDFMIxyT2>H`J2Bf ze*eOa`V}{R6TDbqKyQMB@J84LRc;@NO~PM^Y$jyfLhjEpL6W z#Q?kdTDfhtt4$_SlSa;`n*A54M70W*bTj$5k4+8I?*iki+fzV4H}8~!?kO<$ktsn3wkQ4r<%*PJahMpHnNOAid@`HMQAnEUYooZ z<-sgtGfS@e&EBZ&9ZLe5E+C+|bS&D$gf;~K><|F`d`m6}URNiOt5e>TD^xe+L}wbGNudos>Byn=Rk zx>xo_UmzT=Rh0m4u)BFGHRY)^R0PSHFmyLzF2CBkOCIjpzJeZJ{gw>l|Mu7qv4NUG z6on*8hrtp~nTt`;XJQ+3Z4#RgHvmgms$6#YK<6D& z=e+g{hFZ#KyELaPk<7~%zj_A1T@poqt z_m{pqHLp-}`flc?H;Zqte{k8mI5#(E_-9_}jhessXMgr*7v+OrY5nW@nu?DUATCu1 zKnuv|>#eP==dUw*KI*kjL-2RseYdF9lD>bbrmFer>1pHrOTB)zWlQzH_&wUUmQb#( ztzEqMrhi^xKyUg(^!o0gh8MqsV5Y{#7o(yDnhVRFr^Cat#$C^vtUYrQY(?bX4!%get zj;8WOC4P+CKT^M0zCL|gLV&Sk$|g;jPNS5f&aIa)ag-Y0$Em1vU&}%WTEo-NhezZX zxuRMI?;iiS?C?=-Cw&m`d1XMR+q_(hVwKeB#HuMfL;h)23T6-+jH>owLd0V<0O^^; z5&6u4Y57k(A2I;l<+fMOa%NK!W7{R`eGvn9iUOd-homHT$t>d|O?Y1_%UO_w)g~wX zGm@T3kr(Ted+w~eD)`j?JL`P%^MJa3HK!*Ozpma#NlmMGg5%QOl91sE43h9D&5(E6 zma&Mh$|h5pX-RvMRBM7!pa%HQtluHk_VQ`&fX#3Cv0ggQ~LuVvpW@2$+hYc&IxiiH;UtITJ~Jbv-=(sKo^mjj==j^0!#cwK3`TK{Sx z^+s&h=W6{%9C>A*%bEdYYjS|l68O|NY57PZnudVp^#P#7S(85je8wO@5qTK&9ln$4 z!(w*sDr;O*7}$U1H3h)UEmJa-4M~S1ASuB1 zH)p$LiqeyBsa|ccYfeC|mc?|Tl1~=!H!7p0DCwC2bT+x_5&n1pvICN^C;-Jj)1Kym zV+k$1ZwRkRWsMYV^;FHN!2^oxy z%gBp%>d2erXmrZ3k8)a^0Pw8rG>=PFvPY`ScgVc;f?Z2#Tg!d);S!*!1vR8g3}vF? z@KV>_nv`6;*07_}JlF)sVSo6LjHf5$u9`cI0tL(M=Su4*5L~&jjw&_%yjVD=6Ukf! zfR-ku@>rRHWzK*KAuq?6E^|{qwX2`Y!uqKl|1Cdo4gC#Z_tT#YpRdrf+(B!;=PbUJ zr52}}kA{pqFrlwYD`Em%%)rtu3OA?$czz7vq+!VGQzCG8qf7qio;vx>+iT z3;a`Crz%^Oc#3Y48CVVjY9<741sw4Qp&i26+;J!q`%h<{AZ6g>)i!_G*HeUvG$&JA zbMX#oOTAT0)7vE;aT}rcTvokFRScyptnNcrUL^GO)c8MNcAHmwLC2{1nR&qURK8!_ zu8h>J$w?|?GeDq%_B`|6P?(j?4PnwFvf|9_6L0EC-oqSRL+d3y!m!WsxTP_`u}-K} zKj508qB#tyI_e3>6QZ~ClgKA9_8+{4-j;rABb9{0^A{>lsZ~^xu)J0{s0Zjlzgl+jr@k<{yY+KAti7EM{6k?B3!SY4cSpap{ z(ys?0QV>J)O}<)V?7bm?w-F{LPz^|<7^7io{u08HVm?ft7cTVW^xK4&KV)bnnOP4w74J3lPHcKm{0QK#J|zG9UDHiK!ngbJ+#OyOv+A?np^}XO}WlBjFVCHckgMy;lRYjGAVO&Y1Fz&`I!e=Fs!Zs(CanFmF-k!pfUr?p8*T9{oh^w z+g{sus0vM0U02G%Sn(beFpGsbd##!#3adTCV&mHz(YIdMKRi<=2H zYci3Rv$OqjIwUd>Nu$c|g)O5`YQ3At(Jbc4dsAp-EsqggJeH-NS5wB*0t@)u=GR<)iNqi_PY<+u6wkK;VeuJixog}uQ97o<&7Y+($7;D`O3>}YD1)=ohvo1$*#4~7n`wPY5mG;Z|oVU z0MJ_$fU3dy%hVcQ3>4ki{%9zD3jkC><#L)<%?YCXuH(Xdsq#C7Vf+91(uC~qP0FFZ zr2OP?Tz0SXiVt9QBboxV-+mdv4%Kv;oDp*73K9XxcwHT02izD9RlMXW$!LYWrRkUE zwYF7GzpTPa<3~eO6UyKS0L0ZA?3;ZNtdkr7J*ym?&d6Bklsq#Llx={Aa+}%)X&Fz= zH~ry295eG200sVxI_5oN9trs4VzvWbpd+J6v(zKBNr5-I2WuoW=aK_cMfumEA$fOO zy=HG`~g8%%D`a zMNp*XU?TCX1bpUIxeiNf5SSd^{lh)dP~(%JvwYD`liwu@thAQ-*5)ed3aW#F$U|N2 zl5tW7FBXMW&Ld1>kE}WATE%{llY070yYw>Nr+TJkG!mBGZROuwSP{#$J6Fj}dX79< zE`;1r=&{S&GID>*n=q4)ORITGPUQlKo?L{*Nkaf0rmd}#HgcfV5Z{7zmaS|+sPpZm zT&XgkhU%Z~gkfQWRDNo5QVoUhzWyk%%^<=$e8wiLe0Ab;*!i)_U?@SVhgBMUeQ^vxQk1%Yl@g1f6j+L*11Y&@lNUB? z5%6QKHB3$I9S~u87uBWq?&S&C&qxN*NFDjDt7S6VEcLbt*gE@p>mnWNp@~Tum^mb) zvxi^^XQa{Be$DJj9c!yy2SNgk++%J1!pW8GtuFLg)p3S9s$-x(13+8MJv zvTk{Xz-qlzN67z~(KsTRtjs5@qWGY}?!&;nNNsgQN~pIrN3wgc8U_|u0!NNqR2b5v zU0w*Clr`Qt7(4}xYEgxEDeR~opUX8D;b|?~X)9XA3vl07vlY{Jm-Iy^VE`B2tEZ3! zP?*C?s0dgxPATSC1xkI9ela^T(&i~&<*A;Xepqt%C5E4yYg!4%=VV^aiq{vDhTt4y zEy%%R>+!I38erH4BRWS3)2ZaFY_D%F|K@@zXtT9Q#!M}Ggh?*a5bmsflXQ7I#9?12 zP3BpdL@1O-h-JruDr{Z@^X!rVgi1$ehULWEkQ|yhE9?0DIJglhx7ETbx4@t_IqMC8 zuXW@tu=sw$?ske2Xb9es3!;jzmB6|3e!6W3Hv-`#^IE4qrdq%L%6(o5fG*zGp^=#U z%eM!lZy+kiPRvPfUs$$msxd(7;`MH}=M?~Ya~zQh0KGYm!>zCv%a1AD3Zwoh7=sm7 z<-zJzfU~5iXh?qs(qVZ^RXgnG^*iiY#4~B~7i$Rbm0GpOBFc(tSiaPX>7!CeJi|ry zWhumeEXDNc(o4&J#Ju(*(2*(F39r@@l8&6)R#Enj^aEUCKo^)vz-}SaFGogxOd2D= z>>68pl~W#jc&ohdbKB$(?h3$Gi99z(&>Vp11E9LFE^78T43PZoUX=RFZ1*&~pwqw{wT&VoYq zKEhs|lYR4tuebHbtOB+>z&3Gh99wp)XQle?;MIJSLdw1;}@<_}3V0qsutKDr2ukv~6vAsuv z{`+N8>SV&yDJheOV>l}FX}oQj1qW^eY0IqqbN_ecY+`uPR8+5cwr@8JWnA$-cQm#yHQ!`$}(H@nbxZlkfiP5ak7JQeDNJ z4L24Cj?BtuK6_Ha+|(^@(=qZzBjl(qBmpmesq(xs1C<%5%)m9z!1Y5S*Sss04P5UT z*g(ai475sdZl~*W$K|X4?NV7 zEBT3zZE|me4}fnqDo@?!Z4g(^Ena^LCNz(*Bri_B@2N|P0z(snjle4Y!{|T5 zPLfxB4ebZ}M#Y?S%Gp=$meYsU%fw`zc{*WH2xBT*6S{@2=V@?NtGBI8$S|M-|;>i@<4gGSlXMVqNSt;|4W1}Zaf%`;E|pw~QwH}?iwoIcrirb_xosKp&| z%J(r>|Ky9)crmUFm|Qwq6_kABEj0k!jLd{{FrNiEGnSQKdZ^X_rpEgDDdM;O^Q@(j zj|sRbt`LB#Xy?D(UMoo$M^%nH303~)?s`JD_lU{X2JkCTStbd)HBD%K0px-W>7N*E zepCvPuTq6)c?{O2<1YRE7e}-5=RLPkU!5A{fWjY)HOucEyB+UG6QT17S>-w=nbdKK z#C|9zLq93Kt*l2a+xhR;bjZgxG*YJ1DKn{pbejg*u1Pj{YhdJxRP=#)X1qm0;Bk!2 zH#JU>yU21NqO+<+`U+cQK9w*;1NGz{mfPyxewbVj%=rR?t700L4JMK>Kha}@IrG<1 zK}nIQ{umK{4BipCeQoR;ax&UoZdb2bPj8SkXEDJ>lL@cb@CT)Pz%R0$yv@i5^#r2g z0(^rEjjnq#eewq{|3Jbpd{u7PJxNFx{hfjBvWGm~9f7T|v3E+9Js@MLF{x{skoKUu zD%eN~$RWC%#0Pd^96HGXTR=t3{+;IG6UCX1}?-+uhRxAo4L7WU_T`c$KpAJ zDGNe_02LdC2#-HYnaQ`V@?4jl-Mrc*fAY~*dGbgEaYI7x-BvA|RxjE%aaxmxz75)J zp-YotS5&&VE`K*#2>JiP-E~F@N3b6kZGea}t=ZFJMj=|$2MP$JRg0teC1SxJ{TtB^rT|)p{{9J zT}AEhbV5#&x0#HcmFGge^8SW*NYJyY>@MHm<(EBpl15>CzZEgbNXCwkhOj$;*RHa3 zK$wQex33zJI{ZM>j8g^M#iElyeOkWQ_g#R_PC~#1th8pz>Q|ZVhdb_+FZVqKm?jj? z%+)!9@_%l6m%KQ9+$b?=BHz~l^?G2>9a|IolLMeVKKYECm>rZy+TU7Me~VYzy|!Au z@M6ReyV==~EY+gynl}t6Q?yj1bf}#iR|*{g2624_3~Fi3f+ZnG=6Yn0eLX@dD`hTi z47rYmWi{2lV-_&)kdF+~1p1taELmFq>^35HVR@>j3K8AomI}p9P;m;Ur&hDYUJCw_8*t;yr)a5uVN2!zK@HZ6k#Dr z$s{NBz(h(m)lglBd{|8lSX-S!dF~~2IU~=fEZ8ZD1jyB_BW!$p?pv}Uvs)Ug%QrA? zKIhrEC0`?_6Vwrh_fvtHgGxzBSjSbh^W+ku+6Is*C>%`!S`tU)n;5EZz(D_ho%&UI zxPHC71JRAPAC^(V)8}x?N7uiV8<=@mWs|f5w6)#4daG<}YLl;wf19xPqP#)CC)_1T z01J%cc)nl$`pg&Qm)jqKJ-tww$k@mge%-mTUZ&?W^2449$&*@OhjQK3QG=_3Rr;xv zekg%LC?3JeUI;q9yR9QPM$+?oI)>KEIB)8WZ6!#YF zn@Bmx;z?>pn8baIL5# zujLG^?3?+u+`~#=*E9poFoh{)jTUWXAexiTbBySs#W(ON)-`UJFl&?Hk7**$&dlFn zCHaSmBk~ea6hnFaZ! z=QbMoeL-g)^)mtqt5pQK#7l?B%WyUZ* zCabN02uAymD1Q5@T&639OxGoi07Yk0cyJ1GjV$`vrGA}R1qA`r=?sC1L4!&8$y zS8^A7QXUC2xy|@!;+SOkm!^5`ABG0x!_Pl1XXY2e>g9B9!?Sj^zxF)%EWIaSuabY? z@{8n~GUui93lODjtnp9N9cVdoT>kd#m*i}Gy!6(x9^bvERX+KyO|qq}3O3yjKr+h| z-mmLDYvqBOUG&Lj0H7(-4)pAHIWzc+X2?e+Hx_U@?>;8SBRz6^TQ%U9{aQhro=r=X z&q^0*9l^d`V!`*-N?&;@amBPCL&OVkBqf0q2)mn#ReeY0cb@(sAa(g?aJzdI2K@=+ zrU;6aeA*a-rA9n_Yp9Zif&5fKYOS@>P`dy&Eu_BG1)Xw&JkFK0yYFa_|NN_)rMAY& z9Oey!`c9b9J-h4V4t!ZdiHwmytmzQL*g>tT@$gx?z>2P<&&qplt{Jd$W9PA4>{qN& zjyh6xbh)20vZbaD4(e4~X_Xnco-pvZ2g{NwvN zFMPRN&l5_`lx;TZ1Dz|kcz)Z&giTf~b6`CUb9lhYzSyMnBxa@A0RyAeX)w2+&87_R z(jei;Wj8Z1Dw+0IhWs88gQO{R;wE=F=yoI zmR`8bqbkaGR_{P`6vp2&MBl8a!1EmVR4__z0A(K?a&Q!@F2GDj0Hr`$zo7g&@_zCX zcdn{2wyP}W)}|`Cx3f;_G0L}KRHt;2002M$Nkl;bEvdhnCnC}pI9i~TO)45q96CBH!CER=!E7!*KTGQ_^{7ht%^Rzvxydb?H&n~c z9Sa32H00h~<&qJ^b(-R!ApYJpl)8N#2~ZVA9XU2D$4<^0LaC+(ExPbJ?$A;bdX39o zYa{wS+{iVVTP0X*5^EHlz=@26X0bqvC8f^XAnR~UnH#doPWKxi8?*ss;DG|?Mu1wC|uwnt0uaiV- zLcY=OMa+={d`4jr?I_m?sRGvC*)jl-I}2skOF71Ebg(pdxDE4 z0D`7H#Ns{jpEsVtxI806FlVdq>14-bK5CJ#{ULx6cGTf4$mrRkoH}q&+7MNFoeLrE zrAK%1(oKM{^{!gk8=f*;05rw1TKwWK2B~b6Hbg9b0I%j__RiK&S03|sfa{UyLHVz@ zeFz12j~om2OFPErrM6rEs_#=!H=daQ5L&Po(p*smpbJ}6t$dzb#+k`#i39RaauYO} znPje7$^y8$6%GBjRlB7Vv-)}r*-Id(*%gGrUL`LLkCS(7C+8E>egL4_G}*`%Rew@t zNR_F4W$G+x2x~}}z$0K808~Xe-DkowA5IghMs*Ln96Rfh`l>eU&En)0i@3e8$q3H! z+*s(q3jkuXJuNTwrDa<~4eaZMb9-S{F8^DtusYo2lDgXgpmkvP3+JGQ%8wiiNjy#k zEW++NSk?naX2grws<8nUnsyL7rPXa7sj4df=FN^MsVd+wY?&7CnIG}f=0-|~Qa)4* z2bAW0@j9>N^RN6%pPT@EW^#EM7>vttnBOg%s+R@wU(5YnNnh6kfNuA1hQX|TRj&7) z)wdg|F;STHQfuTK!==wC!P^oH$ccdoiQzjt6OPL)KUGv#tM|bu*>DL9V!%ot+BQ8sEp3Ji#Xw?YHue#nX{OQTcrkZQi6QGG$7?y z*L6#a8{IhKmSQ$4ru07E4-;w*ylSd01)!xBT40`b8?1~-yC*CkY@((ATl_QifohgjSPis$}5i-DMX<6y90zgYMQQo6|um1ht|GgYIaNwe!Xf!JA z?d_M{$lkqsWoCu~DvjlnFqhrfP5MFwfc}&K(AVnxTMhu#(w<|Oa`&b1c4Po(>?zDWgt6OdlMuAKEMXj72 z%o)k{h4c|g5ze;R0iuiATZcV~qo*ky_@3SJ>YLRxF?(l(LShW?qE9aM93?78_as%eZWQs~Uf-yd!V8Y|$l?cR2ys?u^o@Vb9m&T=d@X zAivg1t#$Q7h5v@_gitD!m2eNob2+xaUNXjXXdI?bi-CqcKv05=VMQd z$T(#~=jJKC5Oi^)LAnDWd6xmeFLo2SVLS60Y zpP#?tI_Fn@gFdMM&3;L&ZHA?h%h~2Y)Xx zsaFD^rM)tn-BLi2Z_430$~#pUWdq>mZPfqHq~(=o91;ksjvWi3v{@qaW?A$0qS!n| zIRS&!7ds{!snBD(L?BSw{-uu!)z|t7Qv-@lppXyeQ86_nn=a>N%9)D

    hbKm0eH$p0P@bqpnNS6K$~Z1=Zo5+sexGsl zq{V6{e>P#3SicQ5dqAv28Z5A~E;j9msf zIcIoysYQunmg=^w_+4&H?vv6T8KAUkt@v>>cq6u#_fN~d12YmJS9La&fl23B zVoepSbsBZ-Z%47O_3dw!rr(|SH{Z=?)@c+fD2+=6L7K0rpRqKyT&1Sz8ruS!_=cev zNWqKGb3#(MC1|L8Xfh=2jn$IIyGS(|?YdMd%Dgcd< zcJNpK_h(6`DM)o)K+=hn?0e#%Y`Qe#H7T+c# z>=z@yEQ)8S*W#1g>pEq7n_Gf)bK-PSPShWjy2cq8Wf)4#TrBk$LM!MGG;<@0^tkr&5Loqzwe zJW>0l4?f%uC`0j&Wz~FcPU@S?((FeypD9W&&I}{uu73N>VR^cD`l7CsSyX{ljC|6Y zxt%8TUW2un&u=$`Qig~!l$Oy^3M;@!D---iZq>Fb<1@N=3;~J~Xld4F91z^+{9m2i zw0Nx^a@YOFa%K0m`6=ycBPz58AbQWXHKKW(rIy6&_|cb6$+5E++$Z$=ZG0{&-+bn% zj7*11t5zP*&A{Pjju0ubA}U+}fWB%U9=UlrwXf%f&e3N-`&k2Me)5x_l-q8*O+NOq zj~V@a>QkSRKmYSTH=ZjHRp7dN_ilOq`R8xw{=AkOzYxE9Eqkr>RhfY$W}xV}ll;qL z08qXhxk$pF!Ib$>rlXuLXq|UJ#dT~3Q|b8#(DPp?6-vIThKkR%*{oCc&(z7|yV7hf_Hsny{x@wSn{!9$yUS6dDJH~ zi)9iF8abPKc_H0UteGbz6&@64;1{pjS7`;W)h7R`Wv6_1rdOVvACyK^{?%+S*c5^7 zRCT_U&@fg)h-F?G8JEtwJYo1@?4sB=n7;Ail$;&-ocz1ij~I8{rR`qnQA5jjRPQoa zxER8*gP|kLSw?2LVW{(4jOtj4Bn+ZQ*=?!{Q5M!oYJkI9q}q{Lo~L%ZFZYkqRr8P` zz`0UiOTE_QbIbnltkio^s}quJ&fYEknODT(h?0AngPo*oYrK|_SArXYqPVLg1{nYP z@Ds8#zCj*pzGJD)UUgY4hSDB!khWU2t>G4C1OT1`*I5y|3BWf;%0ZEwPzx+@juea+ zW)8?`Y+l~qc?V4GwcY;*YhChD&ZP)7+#{x0?6+XZ$ldFnj*AoPDU*u(u!lMtIU=Uf zdbzuK6Cx?I{D_dYmfqByzXn3u55KpA`B(roR~__gxPp~2lnmtBT0JQIEi!{O)W<=*WZh>$eOvq#R#%id|&x+%&aXQi6Y!1OZg)ym${pQ07B>UDdG8;J@5b6QvW zI<))mzyG5A^L_jF8Q%eqKmNGEj;>j=2B(Vw>Fn&3zxkWLc~y_^eeZkavBw@WzC&O2 z;v00qwS5D=K?hyg?VEE3%zDA}bNA;25MZ-YB;;;!ZUwjj;50;zHHfx+@~{+=+y!Qa zu6ZB|0?fV-O2Pi10sJ(CoB;@)2vy1PP&LAu1Y)8%YTJT5dip4!@C)Vj31BYfVV(+@ z?yFa(t&8V#fD)~wlaX~TVX4B}#)?TiS%WC$opL+xO^dAJksG+(qCAxw(R`(=*utZ{&nrah=|TrATjXT&sC=dO$ILrBvdq@eM*blHQ!iZF)TrGOCiL%8e^Qbz@LnxYWvH={ z{8YYal~qqL_oqU`@<%T`PbpbVO}MsZLwuxOo((XcDfXjpFe1?@JUruh$yiBEAl1Q% z?btwkM4p{_QU3XBJ#wZmf>PdL@~l>GXy|GIqSBOfuGIx?A8e>dEB z-+edbd4DZa!`EV^Rc7GknE?Y3x*njQ(fjz4^$>!`+DFAaZUCa$Df#d}h&k~C7{%wY z`TS=o#2&jYJ8$#fCq?H6@nEEyQPu|Y*{ayWs79l)`8s=2dcpxY0|T@F%->2h39!6O zD`rkfA@LM6=F8yE$1u6?C)7`_mIHB-iehL*gjUT|7g_J^lKz}W_NRTQ((U}%y+V1N+DRov(&`#HG!z2xGntg-k-?c(Sc=+ z^>Qoc;#L`W1|bS&_Ib*$&dp)jG=1v@aWq@cN{qG4&lHmuazDaU)NC(K1p zXX55+TQ=3m-FG%HmXyp9dRNcVUwEYBroISk1uG4gx4Bx3@VL&XhSD{RUUe>nuFJH< z>XS3i%f8dYgv5`@-cv)m_3PLdMA1EVTmXje<~JUIOK%*D86D z_Hz>ACLlaLPhNRe{_TJNu+%nPAGTe?=-an%KmVh9oItR-bLUPudi1Eg{q1j;FMs*V z#y~Vp=F;ZnJMC6$P)?OrnSt_Vz+fS>_;bSUnXo7_ldV_od25-hh;TfOe9;05 zs5WDU$;-taH-tTTAxB5WCFHu<3;X2Aq(yeGd5Couz+HJgym~FGdkvxK^;8z>hn>LI z28f21+E{Tk=`ohg=QOu6D+l_&AY0eG4@LFG0ve+ped-XvPOUT8A3(Dt_k(1~_aX;W zWCH*sA;rW`7#pG4!lZl{Hfj(vcQqidX4^rO+&O%kEU>Pbb0K*fVccT!TXJ&lxNKVW z3$Nb!%PeVh)JmY?=jFi6lhjFfNg66{GLMNj>!I&h3>`(H@SAh4g}?!9?QNWE@k2QDo=-^zawt->-ig_1qU&@5>DD{9--yU3Cjz(5F%Pj#8uD zMjouPusdp3Q*~+>Z$k$jnh17uPC0*!(w!V$RuPkHPX4j~EAqb9w;@a`uTSm#j@v0+ z2rKs;%36+2#HCP$V2M03Ctx~r(juBe^W3!1#UnVH%)ZWTJSe( z+l|oZHkAK*=a9ofOzoy_mZl1Hy}{Dk7*(Mwj~uQ(Wu!kmv}>c(q?_gGBYm>p5|%!1 zw=@S^Wo>Jnq(*$$9!;JfhKgP)?dF()jl0%M$7fbc0yBO$X$?-d}YH4=uh@r9Vfq&h9r zvrhT5W8cQ`e$g1N(z7z5ch~NbdxLwVnnD0IwpyGHsJh~)k`2vk<(>w@;i%zttSJDY z);3o*R7-0{BOXeOTI3I3d__);AG}IWuYS4H(+O;PEta-dHKMmEplgDEh4DA zxI9Vm`_(j`;{y=Y(5PzWwbu1_#~+m+O+ESQjb33%Ym3(iX?Lkb6aVy_v{05cKkpOE z=xs2&2+_#BG?RK@A}6=V^E@838GcfTmJZJJ$X5uh=C6T;Oj8xfiAsNJoOzrB0NY?; zJ)A&U%=nKvVe9M!G9jdFL*n_jigZw}rqn|$kKlXsmoo)fO9;(TZ-ERVi;(#WgT8>0l@ zRiiUugY7)pHwF+zl&CM1Gm&6aC)3l(@=fG!Ke1UcI{eu z_~D1;_Sp0)3sR%oo8wOZVBipu`EBv+JK^8N77}KvP8sp-g2LK`_(R@)rgMzayff*9_XQViL zLh|l=@q>Ku{QfNK3ES3fYI|E}Ga=(K>BoC8fnvK3^|%K?i?#wlDV;SFY9n(nbrL}S z$C7sZI)W6<%~G$+g`7ZRWqz5I#Wf&6X^BqDZLF6DeN7uycgHmuX5FcWHvQlHO0r=wOxemcqxJe$Ldx9at zMAD~%UK4(=AT=f&P{y(zSlfYEzkIZESi za%x@~;dNEB*KW_sH=a6bd=~V@Nd!SZ*n8SoZ}G3={S%@;H+AE?rv_WM4Xf(q(1VL`q6&2~dO@dGYyuJO49XM3Md=D&43f_8^Oc@(0g?XF zvounRe4S@Rn#svb5PDbOq%8{r>aymj(H#{ZWgiQOb!@rkC1u(mHb*mnbbv1$=0?G6 zF$$)owz_i{?_7AlZbKPDEfp&Ec0lI@^OZD!s1&IH1w&fMFO1DtmtV8w4t_aSZ&)>X z08fL6mX3taiZ6xI-M>LsE30kt2jre$9p?WtGKE)UwNNnysM`Qz=V!aWwfT2t7GcB2 znr7+5pR+GA!T8J=%DW_jpXN&=a~SkTWkc>ZdT&oD(TakpVT z)DI|KU+*_^;L`Y$PG@EerMe27Ox&Do^{&T?X^cunWGYb0U1vz|E!0LS3mcl#5|`dt z*%vx2TU;9f#=KZY)A_B&h`koz>84_mHoXY=VS{h0+9vw};v6~7O+BjISSa9S9peb` zUb1B6Q1~zwH>-HR+JIfT)d!tMJ$4(QvdZOs{LY5eDAcK^jauK# zjf>W>S78zwEza$nq~>d31~YP&`C3ESQBRrUEbW!nb3cA+4iF5x$#AlS)z^2_auXGh zIT-J(t6IWgubiHY$kdrQUYZWW%1EmU9j1|-G1*}=eR!Cj zo#7nfys+scl-V>aY2=9Oq}_m~pmV*aOH3)JtoBo>i~8ut4<%%LG9mq=Az4?m$^fD9 z38(a*%E>TH=h5yd=^dFt#g5>M^Z#1fN{r~QrN7I)*AM6%?;Vxhdp1kt)S!@vDsF^P zR#f@==q5b9e&^cDz5TMwE4AP+J2ggnlU46Vf67_~fK~u#d8fQ8q5)PK5-0Jw^Yr(q`%4#DP~#$5djd1%L{N99zcN!C}xh;m_Hc7r8UP^lnJb3qH{I@lxF zPGtsRnKT@(5JF2%<^ZA=fJ=8MFJJ0T$b;?54wm1iF*elqlBYjqF*!HPmTE4{T{0S) zg~7=KJ{LmaUDN;%*s_K?zSM&`b3l6MbEuNv0-yv)0*l20P;>2J>`Q;SsK=?vx{6g{ z0)@Ol-eZDAHA4YriNRYmL`(;d$E%I8Isr!Au$8lTX{unUpPJ;w$N^bXy|e78b%F5i z3bf)8nv@7^j@kne@FySDD%)Uy_D>JW&vx94FRMeI9qpF+5XS1TzfST+H7|8=HYt3Do&Bp>Op`3-5PWR0hZ*05*Bw^oU#=Y z?Ny%D;&7T}Ffz_Q&={+xA0%QPB_s{=e2+f~%bu5m*a-!sj&iaW{0_?=G%G3q)mrdl z*)g#pe9C6*lCyBLq#$sicU@^=C)f{tc078Tn+(5EU;9dZsZssb&3JH9NWeqc+c)oN zl!xwV=J=J)4v}@WLCJ<}({!)Mc>nuJ6%VKP6d~}(-@HRk=?wyM%;wx$7VQo9J5u3!gSBH4;^xmc~KC0BiezH z`HNUx{T|40eyk&BSM8$8ZC3-Jn+b<+4{VXMiNT9Dc^|1DdNVSSo;ttW&3Dv8b#KP7 zKaTa;f}l`uI!4YExBw+DXoj!;lB}1x05^r7=00lhc(q^(oy>zud(x!G+szkqB z(-NtwY}Zh{3%7>LeGk4C0Mv%6ezD-pMY#Rn{LJl!QN5beYg3S^{<3FC3rPYtFKueq zRso=w&PwI)mCQf|fK~u#S?7%jdmUx-3fW<<)|xlR7n5}j%+)&M{f1Q%;rKit=H+QB zzr=Dd9(EY0lzgqfk*Yiv=?JWZVL_mh9|H`k8Xhr{3QNq?#16w!vJW2A;wco}T7J<2 zo8`o8-AC@C&q_!G0ZqWuZoIFoL9&twv5?ppmu-~+R&ar%{}3f6$7Cj9rxJ-3@RXNk z4@>|osG<}FhzeGen5nXiNGP;VJT)JJ;amf_Y~uARUt~=RuI-(qE=<7il0(Y&Ot7#P zYmkdw8Z~WBPGnIr1AZq_%1`s-G>q0w(rC`e1R?X*^y5FD(pVt% zQ9a4bxJ+#Sx$&3f&~Qdh0tmm=a}Z#n3TnWlFAl>CYYQM&P&`kpdQzT&HSLg@DDw`G zn2lozLvEn~oS2XxU@8qQy$W!u;dpJ;h@4to&C-O?wi6H<&rzx})+1{J2!+DaRBEZl zu8DOSQvo3AtHJ`yiiMIfC%Ug(6bbKl_*#tZE$3GWfSyeaV3}l*M)F_%Hjm6{Zfhx* zSq~=v7n*TYsdYchdOk{9E`Y?+tCv1%g`zd>K3TUGm<%I&X^TcP^7s!Zk(q0hIoRL~ zB~s@mYQ&MR!JBmf46Y(iH_63+HIK_>L30?8t|AoQ+T_QMDF&kq$6Iff4P60IyC!Xg zEbar?Rn=JSoL372P2<^GXr7R1>!1v$#w5r%HROD~+9ZtlG@#dY4s0eEpPnbXR@HK| za(=R}+TGOvsM;T?IeR>xKye^2 zt+Pq)-qKD!>b#NvTN;DzV`paeVE1`QEQ3%;q$ul~Q;2`1~cvJym(o1+1bMHr34QG7Zlc6Qm-zm6a?n{Xj$hCi{A0 zzBGqcL1~e&yaiS?nYZ&;lvgr7Dh&Z<=|sn?eXg>q!MTVBAeoQ6Bn2l%>&mE>*}A;- z;-S>(>G&AdNO>8aZeagw0PqF**y;oF!OnIn=H#W-K8Lqvhm0gNN0s{X{yBNTKO^4! zQ8_$qA*|YHTvW%%_tRG6u~T-^jMrse_Ou6$(CbpWlz@Sn0RXCBXvl;qw<9Uxn9InI z4A#vXr7Vqe0GzTwP8MX6F#hO#zig`6wA3aqyQ~C2=MW{O3MoJ+=J?EWwH0=Zeb8fP zOs;|=14wgBc&-=R9C2+wDIjXGv(h#`k(7bKs8qoS*XL^`ogz&Ekq~%Vg4C$r(119F zzUE<#ceYkz)PLn0mrM6U%fxDHZuZMA)Z@E%*2!2BR*Nx|*i;3gBZQP)I2>rMX_mBr z`TA~YY_o~aLFxzRz(8_H8pwCFbF+6nS_@40$%zQx4H!gmK4f4F-@CP${>s}v@-5?B zzZ8Hv0Ll4t`PQmJ9~zG1ml={~SEID~aL@?(q~};#2FJs4b}%frukMt3idu~Ki42~} zO8+>iHAHH5wylv>u2wnlas=>sc_wqYbD`(kcb`8Y5pK+?eONKUent}+1L$>N?PHwR zi#EDa09sFDcQJvjl>a16-TBQ zZ)VBo6#%;Av{V+ZUw?F?)R45YtzxN#RRjdvHnMHNr>hN?44=bHkIW!o**_P=N3y}Vh`+gh zNc>cvfg43Z9+q76S+P)=h)eN>oxaL5Wql1und6G3A{79zHWL?S;GXeZzuT4pno7izZDbKy{C7vKXx%N8A?G7$&joD&(hq!@!Tpc|+) zZi6K>#~l*nwIm_=+0X=KCl5)mN^?%jYi*udDj9Xj003qXWBM#0caOhYwtHf-bM2qV zmd5QeleEb1-uoZr;AoG0?!ga>EB7scpyn|a?sFQ( z?Eh}pRzppHxjj+fJ%ZRHNjkthHRYXvB0sFBI}qZ1%(+sZ+7ulEd~N*M%8d;LFXhb4 zeyN2ybzO2U8tX6ds{}x+Tmc!R`jgQ(cxNzfpBaUv_l4<#bOb{nM9KuLx-hREo7c$w zOH&Y`-sUt?1ULzo=;6wX;sDFjcy780*XyXNIghMKz?IV^?G2=^FvfAx7~Zt1S~`Q= zY{204M0;f{HDTnPhJn^TXW57PYKK_niZG-wk*=^b zZ_G<$0Glw@)k;!YS6)3QRk(FMn&x?KX(k_+eNbliu8uk*C1dfnla&7IABf5vKD$ol z#}1pUO+QiZXm|@i6SMW?44-Y_C_inm=x-wJMEA4a9+Zi(v|-q;wa|yB<~jFB0|D$# zAqLVAx~7Dj9Gv2F;WcWbYh83*SB>1q@!Fi4=SFB5%;w^Kzua>Le8(w;se+zTQ-yg5 zhEeOWU&?~61c0upuabxF+eQxRf~c(2&%N6^WIIAit*}&TI^Gnyoin5oBrah&`%er= z{E}s*_g(r}0ic)8NagR9&Oil#RsiTq&z)Dl599cBwubPyU0#{3lF{sDm?oDDq6WSL zk;Jy3vVr7^=1`I13%QU_dJbT`dTSRgG3=MfH8p^*CheVTW?Q424A;r;9ITSwSe0R! z)E9NjU3F8ic=#T&p4NHSh*voFB4yt@Vdng$w_o+qWQBc2NF^|#1`nesfh}qtRRM6M z?l4@p&;1e^$vLE(TI5OcQI)0q@zjjeCXYy!U)j(yn*wdv&}6|cmdpvZV=-8=M!--f ziuG}r-yp&jE8sJQIB25+Q8ulLZXIt*^U*NE4+QQhvqQkG#VXsKLBLm5j!oO-Ep`1| z#0%0h{;V7u`d8UEH773)9|p*nRrdMSD+OW2njfVEx-ZR)ZhVbKWb2P!gC;7BLNc&+qR zgTTfDIIPCTX*PV6JmZLT)plLF=~w+-0-zqd2Nt_QLRrnzEz0zyU+P_T;>)j*e(J=V znNLmU$fkYq38m0zj*nzKG)Os)X*g94{9B^@I9x1 zS;O4hIvb61U~wNS0ib$JRh`}j5Y;g#=+>5|5ADCH7JpL2L#1W~oF}evtQ7!Sn$61N zwa&on20&+KX5_i&o2y(1cB=X5*b^;)^06=yB?9AIj0>i={D6`k@Xr+873VQ@fe!zuZuyq_s zN?Mu_KKJ80Z>(&YIwN?7ELSG zjLvIlxFEyxT)+v77gJv92QdE*WzQYhUd`j1Iw8$=GhukOR3R5NHXzxAg%XOI<9ksz zSNx-Ejb9vggjk$74cH&O8Xfsj-6p(AGzznGeO&Ig5 zUC>f(DFCYLsWsG=#(-?*XHye`G7gxAXYK5VojwK$xvOwYL8i`8U%cNqMoz0!5>!@F zJ0cBhU#{P!_NBCJspGA$XqTw{*)Xan2=L_b8>cU4)0C9nYg){hQ@8=y`DiKuPm^J_s3?VvS)L< zG@SDdUA)JO0jR!L(^3?$mRdu#PwwB*X_V!xCTw0(rkfB7Z6>#K{`i1c$XnIr1?D42 z*uSl@MyB_58_TYi+ga-8YL68FdbJsIan9LOc4ZQMPDj?HT`l&%AAXP%BwZK8Pq&GRVR1U)JVXzUz!18n(sQmyzVCl^++Tu>n*1x z6njb71;yRea(Bshr;f=}bNfk&Fv)P1sz9;hvb}1L0YJwyBgz>Y-K#j{&B412c1^`E zrM4xoQQqJDZh3s>8ABys0BmkS(fqTmKV#TLjl>3}jlQ(Y+X7*!hdP`i<={-DN*)_% z2jE-fn`egQ{&sA17N()J>GO|^0qFUKJn;a;j*f*Tj7nL-Ssv!ip}wz_Db@Y9!K6C? z^sC5`jId551?$Vcgi|4T;jAA}2UC5yP8WA{?s;Q_TQ;t*lFkn7sZgdb)do;jkjNo8&|_i?FqIRL8bYPeTH(4|vjBM-LPRxKllk8;ep3U?G3Hn{4!vC#L}xY1ZR zPFE9QEwxYe_F8Pe?lkgzHSf06w)!{9CjWYlU%%`>gu2|1qr>!!oID+pZ$5j>5XpoA zR-=f1EQA>}jNUsuDIT}e2$^SK`bx(ADx$erTQJ~39O#6dOmQPgsV1e3 zT!+UB0KE>ASlNUz1Fs7J{jJ~nE&1dpKPm5d&wJ#-2OpGAfBMt%fe(CuFPf#lj4J^2 zjdQl@m#B>|T0NFdzA(>++wc%A<^}+oUdh8Gn)0w`Muuiu(ur=FgAwxLxwzb>OwKby zBLDzc6_A+b6h<+QN6RV?G)%zs01}Pmy2LEwR5kj1-&*;>u$A1ugH$r9#*(MpkUW)o z@?DINe7)Q#ec@Y)Sjj>dI)TbofnOXoxtf`u1(emEGp^V0xU!-l0Mi}j=Vd14B7gOA z3@qFr;1lCeKn|ddvZrR0`C*jdPfWA`ED^)lQq)_=doWTf?d}Mna2+pf3H>-2ulkg( zaw~8w60+rZWRJ__%mJyczA^(_0-z2DB`e8$bUJrX`g2l7qBi*<2Ka;N03kk`oK2mT z4UQ59vpsCE43VBp`R01}7%ssHD z3Vc+NywSH#Hv2cjP&OG1*~!=`X@vQki@*e9pS00QIGh~Y(YQ|@@9*IF7R5`x=m0*K zPYj-wyV|^no?e}Ad^rH>hxKhFG<{+sYyix1(2&bp}HUX`f{6_^okbP)A>wTR=Z)j)7)Iq8VI+0=u4S! z7xO$Z7baIcCj$csi6m0;&8LqWOrMI1GY8?$WWG8#oWj zu#Ak1$hK|Uj9wZV8mQ0g7Ojce(a~Wn%VaY0(n~L$-wO@b>z8XPb>R;B{EOH6B!|Vz zIrZqZZmOL3YnW5#Kp$__ra-22F)WQyv6NZIu6~z=Ilv%d7nV&YR8*kZk}t}0-Gj2L z{bvCb3fanQR`{`>>k7(W9S=zrHMW(S(ke5b*c#_TY9eH<3T6$Hipl>QukI6;%f$Q%K7~e}tPz4E3ls*f6{B!7Ol%{$j|(|v zjE~ZiPP{D7#s>!sEXu_Nq@96*pepF=Bu1m!{|E zLW8mC{4bKU-X=T9!8;H-A}>rn4){yTqw#jYrvgC$KjUZMfH1%}B|H^~I~^H`W~}m$ zXTKo7kbWOIlM5C`KEUl}O8m`C0YVqKy?AT!3B|f-j5^t+c4wzw)_B`x@9ZnUYyNp^ zB&U_5s#l4>I4%3enh}~|slynZOt=NF&=97V|IqUzc~9$h6u%d%cHF~V_ z>vyk_uOAtexOrMqSQ_Q?W?7AeloP;N#5**Jb&@jddMlHLWuM}FDgwOKyY*mXpA1K$ z@`3g%gZ$FiuJ+jJz?O=!s!foFvGu&Z-M@nypCZS2>3muR*!pwnXYXo#m0owk-B%Nd z=wa-*q;fuS6RApbK4VoZ*X=4xngtAdv8A$dOcvinxVeegTD4J*hK|epX^ih-Fh?j# zal-ntk&D>AH7Iv^?vk(m7i+3egC;q zkP-YTpV;3c5A0|+&U+o>8?h;asotVGp2bbQI5pfJVPQ2nqnaX;?8lE2agh_2)89X~ zcy&2-{Om=4zt(@4`OL56TCCqMS9{;Bd|iC4kJB5WztN&k{Ki_c;TKS-{Yf&x${Rg898=H-Z~3PF-nTCJF~ z)AuZuZ{F$&k^c&|WM@pUO!28dLJ0E_si|HZ9xpIQD3%d{m^n8s#%0Nb>Ajk$!-}Ao zJ{@ksM{@|^m4h)v>5r#nt!vuI5zWw_rjLS*tCt$0 zu`H3e@OiLgr^W6b6ceI`w>92NnZo08YJMEhjjtn!x5<*i$lF7uBs@Jyd$8geY6Bn_ z*bf`V^(KJux8}YoyYXUNEf0up`^yJjc~#$s2{|7g9=vGzIJs;-3%-t-1St=s;BxHD zu#Asv_zdjz{{}AYgZ749#`fxL(oLSG7CZR=**gyax2`JvA890wG@9OfbC0{7#4SB> zDrrCh0YVFGXkmc`c3B8yfnD~$EG#8UsG&o8APK~d?bvaOd+#%z-usL+8qG+f(f@a@ zEYG-%J!3nGlbxH$(mXxg``&#|df)rb`Mx8tn09%(ajQ53d*%J5?>MGU{bLwlpYWF4 zIz3hPboNVaxJ=TSBR6@Uo#YuOSqot58pMO|stSXYWpBZeK*4AXmQ@UkA8VQX&knDA zv~;n_{X4Pu@hzDbI~!+!9**OXBv2p$jhFOTee|uPu^*gs?SqtU1(2m6taHIAY8!d{ z%z|OaiZgyhT9{}J##M4^IVq9Dbc zB$)`=7N*RT#LJRo+rb*yu%`kDD$>>Ckshy4iU}c)+`iSD_eoP}u9Vj_OJ0iG2&H;b z<0TX8rs(gaixi1Y6zX1|A2a>2-<*zPw_lf46>yF;sGnApEjKQmEkAj3tq}=D2fbq6 zY?ShD`TJ{oB!CT4^tbcX6&s_goLA3Q_UlZq#i#pRbl=ab9iG^j*KG#gZ~&^I*(lQz z-7CEyjI4p0mX;=~SFet~EzdmjjL8?x$QXYJ=x8USy+CF@2gBhu9RZu49OoIV}UC>-p!=hr)?wBLJ+Gur`>(zyUkX+CNq;beF0!_wop4e`|6 zqx%{TEfq`Ovs~cYSr6YyZjfx$iC>!8BF{I@l+B*GGTo9dAIM)xm>vF&d^lxDJN*vw zMC}p>D{9BQT{qnh&{vUEBwfrx4k_W}p(g>slO#X;mZM|p3%%egL!mc_s?v@$=5uJ5 zu@4`ySWqx;bA4mSyoNO~LO~g~uA1{Y}6|lSry~t6X z89##?0;~M&)&0_D!I(ay%`l{nSU^4dtD$5IpgUykl{GE3a>tBFgy&@ak7rpDwVwts z3SG6ffhZ9bYM{|CUYH@X=OxJYuH8UE?r1olYB|SeS!YU;Ex|;T#xq8A-NmUFQZ96W zs$zaA^%hAtO8hKRAGA%)m?S;qhgP@oT>_*AVY3t*m!?iN)v=m!I_Q-?srJIz54+5YVj302NhsjV7cR5P8dW~ z{iCF6X6&Jj#KBq>$PK|{ok2^HynT}xb*pagz8B2KXS4u z`aOAna+=n{d&JpKoj+{d%eecqx+AB#!j|>;V?N% z)&wpp04gm%*}n&{LP(Db>faj+$nm3uC1Kl7PT3*JvDnk#8*1^OhEDzryD^^A6f^DE zS%Ae&jDtrglw&*g)#8y?8MK&=#b0i3S2Pg^$*`B_qc}MdpQOyF3^I&zo>{|#>q~alPm>Ey^ zuan%&J)RUJiuzkajNIn?tt_7Mk;s_*8wK0?{foXn`X(>3oUm|1QzSjES|$a%2)~Q0 zZODkC^%IDqBEV*3 z|Hr@HRU44KmIH*_FO;d2;M_a79`;d-8;F!s&ayqhCQbFR(%+jPADFp7R@85jl+0$1 zJ8+P%bP8(vl=wvX$-bxM&iqTHFb$7YzU#x_`uGut|1NeHN1|5!;R0EcYaqs+5C00-~T%EKADMt%wHET z<@FuJ2U;11120WxxUtOj$nDbgFPc#xFYTx>IgmQLE!ZhtHmBIQIYfUyM}Fqbeyw?( z0YIkOIYpc1u3k*#p{u9n%a&E!qKjn^CO087Nz%z>jid6AY4~#P#uUG^oq`uft`A2) za2~$UV{|6hV%@jXeePtxJLlmPOl;CQnt?Z5grq0$fddD`>-EaanKNbm`t@?~;6Zus zd*3_iE=`D#MxC1T?v0Tmq+>RY`t2Yseqg!7g(bA&ui5MGk_Nw9HgsfDl_e-&o4E;r z$`D}6&V@D%)8eB7=LRfsrU5D<7usX`9OVy74Ectbxucy08X%?sjKuJFzME<+0V?f~ zyO&IOcyfXV(5cLwS%u!PYU0`%>+k^VV8*df5j(1CST`9&{m!RLCw3&VJ2KU5+VX{w#qd{i}*SH-pFr`maTTKlEj2Y`xS zYF0E#cvQm{^(YEq%~A0&$q2W%z{7%mH4Er7@3*tl>b?Fj~p7@fRz*0TSxZ&j{KYDzRCB< zAF7|19c_)Wuf`_}@^U1@MTyf9itN!wSKy{Op9+GsZLaMk9~5Q|*1om^ZaTBejHTlR z`w)!{rf@!VlY-DKt=MOkV`o&|SBs!(`e;L(c6ob8zw9QzIny{vusUfM&XRUuUZdC& z0-QIooJVA1vYmYhm$b|zTt3T5ci{%=!sNL|U{r&Z(#UpI`X%feb>jmaM;EIv>b7m2 z#`Z`<$Lb%cfLB|&r&?-4l~U(xkv-fz+J>BzOeMYIwH+|iVR>x*b{WKpK#ktdwrSO% zZ2T*=YEZ1hCQB|TM8uO}QYZBKp^x*a-Mn-r-$_Jq?V80IXbY4N2CKSU*YWid=^+2}bRbRFe>2;J2H!-|urZ*178EP5CB&>QkSRC!Tmh-uJ%u$k;X2LMCeAbO;QVIztCM*lR=Hq^v%gg`CIUgCLbVIP$RR0tCpL!T_t3PY)Wp2`Y3 z0EwC86(+;JCXwIQ-TG~er72rCu1-L>S2stX(f4Dh6vAol4h&lw! zA_c-{drG!@e|o}br&d8X`DDf3jE zZgAKB%L+sn-|t+hU~wbi$acZ50q z$oD2*pPw_(!cEtA|GZAV@ZhuZz^`AB?z1%QkM5=FS{5x@B>(>J|88!i>gwv`h8u2> z?|tuk(N)g+Sp{78-g_^<_ru@Yv+neD?qEEz&2zRXMMXvCE0Ct?rIR`Mgu;D`tDZe9Jy?YOY$-T@?6;t0M~x{)`~EZoGA^pD&$cR zH{^YSkn>@&B-}Q}0VAuKYD<7$>%b1vTL`3(=|mR6msG!}%JfCPt_*Ud>2+5#bQ5Dk z($o4M5{msOB7uuxW7h$4coTDZvxe)k=ts=+P_PAHu#NZGav0ko7^%qi8{QL^im@~$ zK!rN!jEydwb)%Jz;usV-gJsf#_!35>d9AWr{Y{zfK)6CW8=GZW$_*pC zC3henka?k577q2G7H^Sep9a%KX1eCew8Gi)?7%_t{s2N$QMxg6uaqVZNc#|0PBx!p zBf|P*cC}OlUGnRmOjAKf(+OG;EcIDDa-ilRd1ui*?Dw%?-VAV(f7JZ{^4L3N=inOY z9BgJE5w3KW%J!yK3H9Vi*tQ2ImicF&y9Oxj*stjT94+Qtg>U;>+o)Y%CvCVfn1gd< zj1+sa@gG$NG1@fOQA5?53#qxnON&$G2~_g^oC6S{GL+s$Nm6o8yR?Qn)ssjgv5~8& z47rbEuiKz!m*z@7UjLNbkaMl1+s#pr4sqJ&v{V>nN@q6I`y^u$Ub--#;&IEhGfJgg z_L*_CT9H~d-I%#tCb>)G<@PO7-c>J;mAxo?Hn?Ou!mUNHh?8=%CDfK6TMpLA?_@iE zy*9aWewr*unY7!LdS2IjdOmcf0=BEUCCrp_O+8-esYdAPt%=)ItqVOXChU! z?62{CX_M&#i`e(!@6_@AovXil2LsZ`apn+90qGHOnjSOG7VmNxv53U;n7RO9Nqw_%ngijTm>2*=Vcz`qQ*9;bYVmuvJL7M`Xc$ips@E53f zcd^~qQyy?8G5WdS%jE{-9UULPPU&AyZ{&??o~wNt`H=Z^jS`lG#6cK2RZN?q`3D~W z^U*jR3}!1CVBscAt)M#{YoXYI74k|YHczh0nKQ<6&ZXZ|UtIH0AG^~(BQ}i1tpHmq zmQXsrm7LNP!tT%37s(TK#ehX@r_!-df)#YbvN{=+%m>*y&?n#9z1HMtAKfpiR)zc4 zL0rGeBJ$i2@yyH0F$VLxj@I11ZR!lUqNtP`iJ&aV#wh@FmcmWM6epm}MpzytzKd~g zkMA&Ca=9l7hXATX!2|~g%m1?CH%85Ubj;Jd&=Bkb$8xzQ?rxc9xrNYWy!>+a2E<7< zGSogxJROM$ckHsN=74;0(?eK7k?Tm>#ULK0DVTdBwUS3F*2$_y-KR)fL|yS5N;-~g zYMQUYoTwLP8orEoUsx!Uv*IP-9g=i+kn)`rAqcu9p+8k}6I5Wq{xU~;-dgk|(#C5Q z_B`M8g47_=8Bfcm{N!ivSSrbY&>k;05#ZxXXH1bV&-=Jsoqm}S9jQ}*n$urFSpA}u z`Evh^&&#hD|Ci*&r^zm=jqUTa%BKCbvgJ^n)KV!Y+7xiTxc#uKJ>(0PSJ1J1Y#UUeEU3##~ON=va1zQguo4zvMJyaXXS6+EVzVxLp9rIBo z;`Z;~e-wPG*m~BiS;hfKLFPjbJ!IBzY;2V4uDi}KrpuNslbde3$wVOZ&AQ#M7{Yu2ohRjXDRh4b+%Z``<1)~;Q9{Njnf-)1wQCh~%M zT`Lx8E@W7(t9;J_NH_3WVbj^QbkwcR~^--X-~J5#I)?+0pWIGs)vUGl#g*GHKeg@^_-00_MwBMe=40*J1G0$-@j0i!6m9yW zeL-@GEX!OdUCe!T^_)A8d6+^h*3nytEua)@64Q$ zVhq=ZLN;um@I=LN!9Re&jAI>3YDNrfs)os5Y+ujg6>dm|*|SK`C;wOLpwCE}EI<9s zUGgt?E|;lzquLX>5rAP$vL(uwr+ikHq%ATzpHDVEBR?&FM83KA$MSg13Q|4VB`F*) z2Yelf1-eQp*|~V z03A-i|)HooY(?1LZtpgj2Cg9cCS*|SF;c;Er!O!CDqe$jk>+qP{|Sy^dtm|`+@ z^w7^}KdPk}XjK zd1Z9b#Pi#128M!lAd}a)o+IiRf?*h}Gri#5nyzvf29UCLgAq|Tz*s68zyUzK3b z?*S?ZYXB$%j1lW30IC2<0gH~pv%T+E;t!^YE9tXiAJLX0w&Z&yKu)R6(g!@zTFXQf z=}=2+>h_ylP{z_-F-urML9pgjPEPES!|gwnneKl&$(Rac^%KLblG@@H4C^1R|0r|T zKwjiJl>UBlJ((`xryby~K-EcFfR5n=l?^FS1;l86sQwhD$M(s_>R-w1qAO9K!@iE8 z8IeZZeCpmKis^fbeZwk<-qcY2mLga}_V0JzOz8pe4)M^&@Ir)ME+c=_kHDz0^`JDw zR?3{5o6P%>f5PO@0#>L1l#ywdi_&bevfe2zM?&)H)?D`L(^6#rj;Ity_rY!pAvDXu zw4Kz4#CExWDn@EX6~yHIFaWieQ2Zd<;II$K-kxS@+W(k*>ViAXaP`=>ly?J`+4||} znS}pO6u4+w!Bk*>bSe}q}tmqF@5=P;9eQDd!)B3Sr%u^kxomwbV)Vm88;a0S@%Gf9Q0O5k-G@S ze;CLspwy*mQ9WuW0=o180BA^Zi-};s68BoV zB$nz%uV>>Znv>Q^)u3pLMU2%;8VHFBrVhFTK~GB;=>a2}0^|;=3`IeOhRl6D0tplx z0Emwap@%&_2@+aQYG@bN2qDp#XY-EOkcpS)-3-j1k}FTXw3~D*7vjknQw~=1p=Xz7 zpVhXeQr1|*=h3FFKR^EQkIkQ3w{DehfBV}qZ{9ouP@^nnVPT<6ojTRnQ7Xx&xJ#P~ z)HIa;=Rf~hva_?XoO6l#q-%S}JKn)>p8k@*b=oO^lC(so?x3RaLx&E@ZMWSfH{X1- zJpcUjZ=F4y*wV9_fp7pO%)g$CHk1{jnsD$C&#K^5({JFK=7A!R2?v|cYMhZDwkO>! zA=^?eBQT%5p_V=h2Mtiv75P(_I|e%dlmB7v1a0I{<>|(&K4sF0M?5L?m1=*Xt>CnUn_bif@x2SN&XeHP*3`kj(UMar3v!>8I3dA7C_0I9@9@asKKV#x^Mf{O-U1k8EnGJf?dO@$Q%F zssW$Fki&;>a1X4ghSaBU0k}GE2|lv1a$VNdG(5{L`Lg+Q} z^6pAREkiQjf3?i$Uo45OrLtjHqgkFiFhv%2UMH>~6^qz6N84MmGlA25H_*nrNO6!qB0V*7k|C<#oI?EAG{c$zMQouO? zldR{CKKernJ+;6ujC@g+ESY)YHe5b;l35;0Im?kvb2?ke?Ht)W2vWAaxbqkl`^fhv zUcbF&pp+sBpT2#WG`4x94e^+MPriKD6_THEb~=@X3l|#Ja_`=~X2LYQ{@ioVnTHCK zv?;l#!oHD}ptN9vx{~DOLmAHU?-B z-c=!z7fX@mw&$d^=|K{=SDlkNvBodpqQV6RMo`&D6XlOwlesu+Q$WS0g|IvF{5xO7 zlY^6!Zw$6IssAi7iSMPJ_e?4ksWnub5eDgXKg5_O?^N?PL1#L?8B@U;|FJ}d0EG4R ze;DqbKCFnWRQ#jH@p$A&yX8vR*L`H8S@V#u1Y>maU&&$A{uKBrsEyh&DHw#4BxFme zN5E&97e&3U!$U*(2L|fpwfY|ok2!`{R;_rH^eGAeOkp2^HIW^W`2gwny8&wofa!Y% z^ElL{Y-A*7wab|FTV!XaUB0;H1-wO%gp5PnXb_4Q{~8{vRA;P5HRBGyyiorrET;-DAYLmnL7|AoQX>rODvuSKcD2T5md7~+5-SU!u zg<&zZUnh6{DVUINZK&tiD0Dx0%Zw?OCC=+5fG??!lAHn39W2bXT2eVka#eQOMlP)8 zgX%I(b_l^X4XBsZo+Dy!0|S>Gj1zAm|W$_%+Mb*B8K3_%MQ6c442Ji%UB zntG93p1usRn)~Rss3KiM=qi+mfx(R%N+gvd&Xjf3<=PSh8FE?AP2y@=j7UfsZgqLE zkQ)jRW7=NXT_w+8r2m&!_rdh+p>(RAeP`ZupX&hQGLXj2U@G55eh<7E(otW?T%UQr zWBH_tpB5$OkyiWI{ z(CO2s%d^iuYsOQsst*OPciwrY{PB-}G@sEzFHb)Cq%2voM5axfW?0iGA*jwm#~1lI z>y3Y%J2>_>@VLQBN=l4h=g7sM``qWGsi{eBx#gB)>a~wtXX5qSV+JhPw-`P_5dyq| z*r!l6suI?d3m(3jV#A6CgKI10E|V~!3~^yhw(S>BXRV}VeGX7z(9Ri6hSm2spcvv6 z*g6fvI|zk>S3oM}T58anZdC-r0o*)4lu*Kl5kwT4rDOTW;+PJwo+_5!M*%-Ij23Ci zv<3kyR(>cnq@j>AA|hh96)eG;>Bi(b%cZ61N0OCuBn<#tAd4#fkF;xw!m_2cL#jMM z4B25d`S3^Q;koH7K`irqHeLJI{fV$PZ2=h10H6af)`Xv?f+uB22N;jYs-z-PdV!qE zK-q(`sPtZOkuN)zW<{W4O}G4@)2Huqku!=*}ZnygJ1K`GnECk8U?_#C_qOia&Dl7SI8>F(WR7#x}7*G-7E+nkT zMi0U$E#01n>HKZ-`^vu)Ztn+B<17H%mFY~uuN1M2y+`cqXQT&R1VTI!BUlg81iocgR0%`i9&QNG7gem3e@p9DFdl z4rxe!e4-jP&A%mUDqgKUvZcF0IGnPwwNi$v2u=46nebwORFB&J9(iKlUb*3dsT^Z& zn#S4E26Ls+UcrqLIj)p~RWV--+wbb*n!!2Yq)~SY5Y=n2t17HA|YF920F~29BEnRlJ|A z>ixJbMRAixlRy6Pk4tTBt*JOyTwE;Q{qA?=uDk9stAFcT-;(#g|NTZOuO&-0%&x#x z?JA#s`e~UoX_5hM^tt7!V52$=$ePgWer1UApw_J3Fq2 zFe*`Fb#vVE*XvI$b*S@b%*>qqV!&p0+fH&4mS{q(lu={5)J+PVzIsgVl zVlkyAmr;=eXY4Qp0ltCa6r3tE=?fQ2LdJ(oA7lMzNEzMkAJ7NSN2pfCIeyAoYIt1D z({&8Z;8TA|6}D)LXxc?~ccsdL$)8|d$4Q4&0ICdDe!R`(VMbRP>iiD7=V!yCGAL4Q zK@6MQGfk*kL-Aq4(~0qF=MKu=|WoHQ8Hp~eKcV&<)qlQh2Y(4c>dSOE8Wa}e}uKFmc?p_uwwjx&H?%6!C4ZQj&V96b9bWGu#~29k`YFkLoMCRM{a0=IAB9> znKom@u^)ZJ!NCDJObOBIfpQG~xq(s8N-D!(cY!p8_Zgym!u3u(!i3JL- zjI<1~A)=~w_HZ)*s}5++&P*VEU=m)Sq|%I|!6(Z;*DKVFZ(`24QKGOwY$xXe9-$q< zKDjju@y;1oBAsdzY<$T-c*7!DwY5y@TDy-~b$(o|w35r&PtM+3vFSC{;xQTKgEw+@5T#H+$JBDOw=|&o3cWh@LE<@X6Rt8 zXmrONcf4-#{i+0F#e5<8-@)-vSLD}CO6Y` zqG9m}I8j8ZV3bpmmsC$e?lI8&vIMP*_z{bM+2hAO{%-?%$=Nhu5D|+uC2zHqWiOz` zM`%?I<5kgY*DJSKflUT1>bQQMw>9lYfB~4WpLhqF5*s6_PBhxO(IcA0bt&Mxj*gC4 z5L=r0F{ib*Aa8MiiaY?Ya^$iq7>#&lmxr~1j$^ocDt0_?T2kRI!h zilo>U2k$o%vc4{VKHjV+&hN=awF11-WAYGuWk^jAK9K=xr1ww4Zi?*9E9cN{Ot5_ z!^v|;pk3N}BB=@nWV3%wy(<3Yw=5(!zG!Navg8ed@yb8sO{AoGd?DA zL!@V2dy}Sxh;+F7@lMsU0eAugha@jGNgDb+GC3~QY=h}w4FBl2E^DwzT!B=nX^#=R zFU!nj(?GAxO~|79(wTwikwX_`CYuz4=(0X?fe%!-$h8+wGwuUjBTT}BFq(tGw>G1x zjx!ULke)Xp=eGty6FoD>_pCPzQcI*WPAgYK*SF1%T0}tfl^`r2)f)n)_pBk^6T9u;3jU4%Wla zz?>jBiZZRy&kB``Kqi0yF4|%8+UQ83rUFhkp=b?-YspS+x?I^w1s63TmsACv2CV*# z)Pp!nisZ(Pot3oWDXKt}L<7KJD)Wbssed=@5qY4bUADm}>BhL&4lntN)q@V1j+bdQ z3hN7!unr3B2gDta+?3h6X=7?y-qY%w8)16~8)b7_60B>Y$%S3hm?1m6)8()iUq|vm ztNe*ln9$2U`D9jdkKCMJD@&(+iPVJ*j?rY9nw}&3$pbxIQ^wUlv{32?3T0JYl01K~ znA~AN77VzxnYna_#Fg03-;wi3_gM|)6{u+rZemie9O~TzYnUMUiOQmmt+`_oq=+)9 z6>S0hIdx7$vLGi%ZY^0vn7Bup`#hXp5iU3_qf=biQw8u44Fv(`oCD>36_PkuAgQiX z148vfjoLUlyf&E=SAZeA2k+QUQdAO1Z?GYz!t#oIQ$26u;(N)#)MLw63ruQ+tYae~6!y8+ubd(S>^U&`nG@am<3=Fru z2$ec}{8HcDLrGi*-`laJc4*%z%x|tE6|obZuY~^>CX>q+pRRA6v}I7LbAYfohxusB zNlPF#AdcS>j{lLCm69OWV}X=JsNK7-TH-u?;^>4S8$l-}xQv0#;?%k}YgXcGWb zOkSjVUXBK|-VVokVjqTQ;FJI~x|$;Ik>E4BT%R@X;PnKbI>rP5)meBG8{ol!L=8ud zM0{+LD;9J4ft>&}KpHuUnycA?JyK?3A%L$DOt+g9haKh-c1+{r5w^~PP$!IH)>JAw zvTNo&4BaiPXPPY+R)rFsns2K4l?Z$s3VZ>>A;RXSR3+dD^6g zKso{$LfL>_8R`JgHnUxaSpg>S$hJg2j990CD?M>B)6k*%U(%0O5*iE>igzxPo?eX9 zV^AG3ABshrQTsLm2zwFiXn3#=(aR=JqwKBilcjku#A9qGR~C>TCQNHU=-@u^e3*0s zr@2rMFq+{8nR_QJ+2Q&OS(Mc#SLQZS&%Q@;TT3Zu5Nvq9L~Q|hH;OSA*|{L zs0PWm8%uNA(QVSk=9{}kD=ar0)Tu__I0*ND=cxX&m&vf8l^BU zQIefwXH+!QUL2Pqr94ixy?N${dod_P5{ui`Z+w_?H>~W-M4R_QNaJ?CqI!N z{_uw;_fx~~nwL2mT|C|mIo0|T0Q6L|^Jc!sMH`Ez7)o9G$R|?}62jp!S(zJ5e!`)8 zF5t@ID7e8x6iX*7s&fso>&3?~oF?b<$VFZKL|Ja34!SlC)mlP;*ciYe;DDNky3_zs zi(@jM*IZOCN-Q;uigu%Tl%_br!G+c~xF0V>m{iR#h4~B3*qtI}UJIPl#Mo8MEVh<>J&1 z1RyaI;4#29DEP1I+$}rX)1)+QbOy@o?1+EV#UMQ{M_y@c!!pWlEQxH&wgNQc2u*8l zS~vT7TS1L^Pyg=6a6HY?A+Div@?TTrowMH|2RquBqeuvSME56sskxl9a!GJi%MzMRL7=^qRNG@Y_AH%}U{it=?v@(}fyCWX?a02hgRZ;-Tu$o!~vP)?`_ zfMpRcq~CzgEuOYq_7ff)HI@Q71$C-;A7K0eL_LX+0H7xK zx)mg*bAH7E^keugvI||XmJKk#Nw@;U1A5igNRO|2uP(^UHNvmcjX9q8d&$pq5EWT6 zvzQ#tE_wXL-BO12(fVCgl;5?<@{6WQ1A>$&oFS?{y}^n2g?o>5u7{PN2tIl8#G*r>R)1eCs~_DmBD=-5vO{Snph!khIY zsu!4-8vOD|nMXD@^-Ep?%5`!S�+@M$2)+OvX~<+Ck~U7z9gJi-yRlUv9iYqZdwC zM9s4#=TJeP34sGl!+}E#t>XhemDR-1-eQ0si`3Fc^GnGM)$n^*EzDIYMEKV*l!!M5 zLivo-X2P_*P<(10%A9HbqDpOIl+}bu1?C(H>8sENFhHKE#dunhCZN_rgo7i@C$)M2 zgEqD`#adP~H6Frk`vs%)^0^P{UGk<$V*d*;^1P1MVW0ZW9_ z70g9ju#Ud!JEa5T^2XYp=;EW#E?fwvy3-Nn^^2B|RDhX;0eyHNUhKhC>F#C!0I^t$ zN)9&!Iq?Zn(bORa546Z(6yBT5>#=7F$n^PgN8{XnPNPE87EBp; zr|MsMx?DxI6q*RZk9%t0vL8@FVAQs5-8#`SQ2J2imU>t{`sky^eo3tav<#Hm2GrEl zjM~S<8|T*y{08C5ulDu8+zm-*e@MReTD!bh2S7WMhMi7WnMv|FO(Q3CkZL&Lm{LGC zIirT%9PT)*U~*tTxbN?j@O;gL!L4rUoZGWaeyLg*X$X2`v)HNQ?qa#UnELToiX_|# zF1?sE&gDE`hI$$WK8%$zfm~A~j3MAN$OTndK^qTU7$&dNg5$v;VRQZ4Fpe;t1^^qe z6LX*;dGmlNRbdoq0#?mObuEPjWjol{Sc^|mW7UkDa)U6GukQCSmK_IFEN*A6*^LHf>$pUd9*)8~Um z_gIfX$&C4O^)-tn#!p>%D|S^G)R9lh#5O4xF&U#!PDw>>AwMFXvUr3&q+;k{aw=bG zkq7_uiafVsPqfQ1Kj*~9!~EhGsz&YXtLAU2kj|p%7BJ_UhS0DhO?sQsnOj^Kl6apI zR(Y6Gf9tyCqNN&-Z?!EP-%*-c72Sws(7ePP!$^8j>8Bz#x+`a<{A2NANu`{nt(vrv z3ZHCvrAq1#c1beI?szO=Qj_CkYgwJ_Y-k##_meMHpr=3ZSx&bBpFIFzJ1nQ3JDL-! z2KD-%+FNy#a-l)-L3N$rzwzXOYX0Wbf@8t46OgW<^}LK@#YoC_mr;AZ0i*9EfO53$ zFKdt$>voHWoX?3iF#{7b@PA_lPRW3(x0EuTzx?Gd4QnuRN;EI@#v5-m2C2#@TzcuH zBi}x!uO~wA=Vm%v`v&E=2Rt$()xm`(EZbWB(%}!mnDya18Iq+rE-v~ZSXK=o8|D)h%~U6fYysQCmJovPhiY;- zr?XV+&XXztN2;Eu7RpDe2*`weRg`3#Ogg}1vqkZE4%YYfh=a5OHx+!;qcjeXS?n0Z z8i{S8Zzt;T6qr%X2UU}GC-3(GjPs>JtW<5X4Z-BkJE zARU{arj(%0pe>AAzK?})uR>C0G{x{};E(iiWQK0EeIKp}6yFE+y0exIG2iLkUC zPL<9k)aYulp!Yl6SLi8cjisb#FX3@=7cZYua?<{z3r8}b3Vw@I=+p0&`o2y;sB*1p zv88OJjj>(QanNb+>d)Cp&f_ z-OS=F*iN-jv*6Lm_lBmWF89|o%gsxv#zelRD%MAeh5WpKfQmCgsCz$AA>Hm)A2we( zDG0u}!#GKsU_ehYDR07}2?q2{nDn>lkf#KoKls59jQ!FTS6p$@-PbVktFOLlN<*n4 z{`G1T0QB6ayk_KJv<6YOzcr-%~AvYW(p=m{UNwe*hMASC8hcTByp? zLCAh60#XSld%b(5W56!CiKhpI3PANDpPP~{Q!^0ISSn;AIhXM;uU2wnJ41P><kRL~EY zwS@s>7~%H;uA3TDWRM(Oiza63wCM?}&l!NlOdA5MkgTdaELY?go^Z1q-GY$-RF~=5 zF$v2ni`^$xT|G*SWBtT&by6A1HJdpkZ?lD)jYN(qV-0#WCpnCQzf7v}4)p**LuzWN=Qo{(-tK}l41dS~Gb znVFF(snkZFP6)jfrjltn+Dda$B@N|#r*}AN65LxQ%6MiZxTI^x;iKVmRjl^{NZWXS zB>2?M^gFP!vPo(&mG5Hv>sWU>=KGhIjP7tS0YHx)hBx)a1ORK|XJM8s4>bN#*mml}wk?lt^xCQoK{97iJP&IQ9~uA@xE) zuIBJYn}*f*BNp2H!nWul^Q^xy_2hXTgJ5|_kJOWF`y{NEW@jZyG1g3_$!>0P_-^t& znP?L;FfjxFH)i12Uzd~YbM!9#ByX8Tr+a_2&rK|U<7Ytah(0|h1+_YY3YZ=RpQ(V) zg_%xrC?PV(0EWiD)c__dp;uPO&(ohb=#<*xt0Qv*u9AfO=*&-di zwUIdh1dpk)jd#zwjS#qxRDcBXJYmXUL*G-}AXzSp?0^A%z6BLFO8IDwqYO$>Y7Kea z|IfYDB6mF3AU&j9jJ;XqeY57v7Zzm8SW8sZpIJne zG*T`OdvE~&bc8v-hFUP2hh_h_U#^r*2kXW@Bx`2Jl*pCww}_>4wsf~dE)@ z2j%ulWXx7YKY_c9RF_k7VNUbdUk^Fy)mU>i5Uw9&UMJeb3{1?x+j|Cv zf6+$S&%gflucjK(C~q4!`-oL4CN7}=Z%NamG(T)wusTnc~qA4UXbAOlkz>H>fQ3Kghf z#45jkVXIMFUp}*RWEZD=9S=Kq`}CQzwz^vOwzf#3gVY6b&10veN}nenEfx5~MtcB& zYn304EdPb&mAV?(=AcZ&j%smUL3FLtKC4aBb(4l!M*YC%t+i5;O@V;Upv0@^D^_7@ zoFEwpziNWyY>LFY$W!Hb9;Q5`^FX~^jCbXDS|JsGuDNik>_CX4z)RW3e8TN9BUnZc z`H@~8iG=F4RW*0WmhxH{Lv;$U$OW*Kaj`aPSd-c^O4I&km*$|>2b{Nx+?G8ZraT~v zrWDB18O5?`UyZbF*njlX7L4C_5FU3{HHi(N8*S}42=uZY$JbbozJI!B{dPJzmH~24 z6rs#!Zdlj%qx33`T;9exo>`|%p7O_=XiI^8oNNk_Ng#}T*NhZ)LhAj zdkG_Al3+PRCC@S0u#4lkkOMm5HitVq@=8PML6r3|S~AoG<5fNFl;orjQ0u&2o@m`{ z*7Or9&$I8AyK=8LLX;Ca8f}4!tdueB!4H-FQ3Z8{KY{$kh!847NV?ez!%SXbMOUIU z_PeMQxA#1|p&+OVSjh$Y(S_(BjJHz>ssv?vTB^L#(g1S}->b~F(x2oRUtCm*Xv-q?_1*GZB?kMi*2;(9 zagn&=#>L(brT_py07*naR0gY94`ALJ0&v_ z;W0Gk1Crr($>D|$nN^wv7#!Pp(J}G~ZR1*=+NNT;hAaH*-;s>H9T>maAsEeodQ%Npve55mN1 z)4J-l*diU@x{j;Ee*F8V`&-%N%ZoGQsr~hmq^S+GUCmumKyGOojHtE_#(trqNp6K5 zj_$X4W8$BQ8JL)Xx6KTk5`eB)vEpsBqZ2!F>kXD+X>D0aTR`~Wh2%` zc0@Zi=|*+D-`6X@DBB=+l`g>|X6%4amHoLH%O%6P4P*9r*i=I9n2c*p^=yZqJUT={ zSCq@Z*`M z8>dc_WLWL>&sE5`?z~nWeD*bI=zyUlOit%mZVkymLr`9Au9D5WYvle9UnQyT;c)M% z_E}SW7Q?<4C8Z)VDu+397;w0&u2td@c=ZE1LyV!!ry8j%|M%LK8sk0bAV;*;>ydB# z&q}%O^2u`5lF`9gbQ`AP8gOxLzWi>_j_4xuyr;R@*cBC$elXw~lrAidw3<&ZHckq* z3-I*RTOeoo#$rjCQA;8$UmKzI zOkSTkQ>Ox{umyp`P#eq}`H_U#EzbGW%5IRueJzqe?q)p}I9-6USio6Ns9zr6lO$7M zyE5WVyqK%m_whD2I?=Y6IGLZFEt{L_spU<{Q0kb^NDj!HtXS%NTVcvzoB${qde>ag zLp{mT=6A!KVg8NKV-;SkYDh3U9iPjw9yvntVaGz*OgQzasszcyeyIz^_@3Hi`QzGr z!o?1h)I-wPW^pGO&#zcq8$aHTUrO?=^Y+<&+KHzh9LzAsM0u=N;;>_?GAgT zqN7}Xx_zsxKe$_d@zfr<=z>i7+Pkll7k3_(`t~lvN`^Jr7%&!-tf>(Y+=z(QZ?Be2 z#51|+9OE&z1Va8(38|~SkCU)%U0V-TjGWkBxg-T|P#56S4;T&f0%ov*auXK!aV`!3 z^h0Rh$}s4E8Gp?y7M6^vlGja9Fx2MvnOw{T*}3BF8K7d(pwuJCtoHQ)a@BJQ6I*kCvQujLKxrlxvUil$#!_I)=+~H$CfV@oVC9_N93-7sHHtnyKxuw}h&(B#U*^&aN>!6~LhRdVo z?tVhuJpgzs%x-j<3ln`imQHVEb8*5KAwJT_!S)_AuTi#BS=wH{YYTEy&2rtY2^IVs zd2~h}YeEG-`rMrCokt#d#8iw-IU?|juCsIJPT9YIzm$}eL>HaY=l1q?S+#1FJpTCO zCXF&TH&^2DK0a4X`_`74dgiHnC&nztxpkX2Z#DpQoFAK5ePRZVnE_R@TP(w2O9d-X zI4N2q~LJ>lP*jAl%2XP6^33f3^lt z7YSQOKRfc-gNUiBy9;J<2yslpQC0S2LjG!9q?LoBEr#@hsm>I@eE_>6uXymg)SBiR zVyrt`Iw9M)DCPxU0#M^(317QrCv z&BjEVn1MHH2HFuXKD2$a+`n$Md~f3` zOsRCOETz?_6fDl2J6E=C+jhcsoausx9(qW&Y}sH+Fl4Ygx6Uh+ z=_y(UbP$o36ZQI3NpmO3Lw^g(;ln7Mxu}9SWw13QMLDsOnq-r08@=>%_Re zG$BPwD3MuHM-B9LfFk>+ihK*l(rgIp4xqH&{%Wnvn^P#xBPD1H6O#cwl)_X5d!(sS zTkG5RcSHbZ9J#02v2NMhP0f4G%^(1Eaaw`AbM7qB8s|F?HxPbD97UdMqq2G2Y&a1G zsbahhc5w^rWMVwU1yaY(`bM{9D!YWkkXJg?S#P4=&%zFkzv^iS`-O7>MX@_mW$ z3iW`@B=S;&0M*`FX!7&8r303;u!2%g&{&w=D~dDmBR$p(e}Vx$KMvsAl>zm`xPSen z)zTB_=eN{JiC&+)QeP`e@(aYl_xVg)R#ujL^{Zc%&wu{&M@w+m)z!)U_untS`qi(F zMl6)EtVVRHOlh=KcSlEui70BdNiF`PAYPJbho6>zGeH z^^_^YK5N#jkslk^>l0&)H$>ki1aD7O;@DRRfru0|v<@G!O_t z`00mhWkLQVnU*>BkVy&oi+%C;Nk+~~vU*LdWK!`e6u{T9Hz1+j5 z@xL8*QY&I97*@pkqgB)$-{qBOABZ1w3I+N#`NE5yVoYSEu2mHOsj0KZIp|a z7Rf7HD#UXLrvR8wMS)g;xf;h?U}V)NvaQ!AKU=X;K6>Sagonm{qcOWE$J8ocxu?tk z$4iTf#OeDJOdWil+=vVtNm zHodZCcO3@sebGa9!t)eT0RAyyiL?`7@zOvxq9yWUHBzCh`ueOx z@M9flV!eqOIMobj-FS=pdeS`?6Sl=)({&9h_%r{~pK7e=d#akhE^C>*JM%`EtC{2s z#)^koso@y`23f5rRi{W!$ne}GXPZ;L~O@=rHkE!Qt71@Oj8OAq3Xbca0i^-1!F zoAV`;n(6~O799s*&q6$io|}tH&>xm{`}!p9{d;89?s1Hb71fN?-R#55a_^siE?%l4 zef{ohjJbN>VQR-SmR8wP0BQq(hRK^WRf!l|b13V3Jo4Kow@F*a_{`iV=cLQ0uU#si zy>6K-pF0I*x>Z)MKO~ci(`5E!E|Lsv1$Ykis^2VQGX3^m8+Y}Z@(`94s}I6fdgSki z4@w*%eUrO+nhAF?zXh-b3O=<}G(^gHY94O_AXG!;3NF3A001-~ZfC4ft80F(GOTN; zgRUX@Q>6h!H^B+WRa+&ua~PNhu|V3mVzV4TOr+bAo9Hsn0YGmPr7zVK{`l5}ujcO7 zE@>J^QGnz780+79Tr2lh%ZpFEENdQnNvii(kM*NtUe8N9!=9EdBVg(S*iW?AZw6j@ zW`mS*&bm0a9h{F_S8tP+^PEjT)7co{J9<3Rso&>*bBBJWy+%H#Or+{%qV2c8{jGfL zV;?hrDggZBAOC2=@h`vpvV84pUlV02qwUsPZ#6*izWeUOey`tvQGHKA?A>?YZGLZ} z>+18yjT;SUjV@Dws-X167hg0XbB!c?@rz$HU{^!(m6eqyimi;P57zgCAN-&^_~3)0 zsRMiV?2!i^c)&#dG-W`yMf=y!)z;QVhdASBsHV}|!w)}fc6{_T#B4}jUf!uznRstv z2F5r8T)b^>{JAtUJyyPdNv3>vTbH!;4-!6ipuQdAbx7_-prfstyWqC2HWRMCaONBX zDss~ta;O0tD*&rDz4&%et})&<3`)%#{4>8m!3nDOJ`A|=VpU)p>ckL=oXmcJnFXd! z>wm{4u@WKUp^#2! zi6S%~;>{rYiayE!Q813&{>@7H$PMZ8<9iBDHOw*ZT{f9I@!n?vt747bWK z0M886-4gEQHG3Wmm}A~cXkGuXx&J+q2LL--Tz+|Gc9 zbP_M6QZsVXO~)}5LWrkol>*YYW1E$cDNi5T$M3G&Sj7cN!|4I=%}5(Ae|x6;tw8ac z-~6TldVBZoH6iSaF1pBc_w>_GoA9_Yl-d*oZrZfzXx`{$mtA%gWPbR=A2wih;lhOm z&?;y=zNsik*~(~BosI(BA@)a8Cbe>{d-}s@cE=ba5tu5kFJ!J9xrtb-I9{*k}Q<=*CbAsoqHRk zw>`iQaE$!y^Y0dK|A4Hc-q3LdGac?&NbAo zwn%=^yKeW#ZoF8glgIe;ziyPB_*tqwQa{Yy4U4DCM{c}G?)iU@%VTS{a}G@gEN2^$ z((?I}W#h`N(gnL0Z96G%slJ?Pr$`Nmu6z9RuI6s}+aW4tAyQIs9LG7mvb>pcn~9`{ zoS5@<{O8B}x3aLcWp$EUl5_Nl5(`Z)!wQ74-| zgjxEYy1ys`8*S=#bG8j$Wb~#Jr8xqpdnizyXcIH=R-XX}%;RUN2KC>UX3G7G(g`ca z5~6LBQ2!oMCeu*K$IIr5IH_y(%4Z*3Ex&o8UH6j?GOUcUIwZ29mt5w_rD zbFrk2mGt1oIjlYtUTa~Kvj{_W!8Dgt{=XAJUmF#G>W+wF zPS*eFmL+4_-UrLNv(hiwi7~POwlbEBw)$79ZBPV!(u@8Xfum9nXq|cAKIsJ{j^6ly zvC7g=aU|E$hF#J88M*9VSo~D*QEULl!=xUSI%VmtZdhJ^eS+QCDv|c9jA4LngAkT| zWi9f%C$~y3pBrymbRmuh%wv0}Pr6Z|cajVG@eeJP_r7aBz|bP^`_><&i%_)IIp0^= zjNKB9HSC!_|LmEKvUZ&8jssTcGq+!Y4=iO!0nr(FcmBgW7D;J-np_E>ybuMu+A8$} zOts8r5^Sa&_U^U|-PB>F`kbY4p6*Q_asVl=$kQ z`TyH{55TypEC2s1je76Jl5ERzlZ|^X7-O30y@k*c0&J3ngoRDADZ5FQAIU!~>4A_? z5^8A1U@*nTU>n?fZ?aXa-g}?__gr~oHQSPABuzO7#xwKgz5DL{T+O`m&OJqxPZ7xh zE2)q6a5;V;M1tA6UX;Wgp^Rll-=)=Z`Jo)-Fd(bH(#VUVh)wyF*D^j)LWQl0V+n}0 zGl1WX>hjZ8`6|AS=Xb|lW%2M-JbvM&`1e`!@LvlSLsGFhN@N*ctc)Lg@B!|)dpK{`R-V+9@{?;(sbuQBf=?Up#dY!G#gLRz zqMS;*5@~O*biTc@w>3Rp3Ah=7YPtJs4W#uG*l~>Y=J{M+>yP2lHTa)b3TREU;)gfK z_xNMc6AH0}UOCB^*3xEd*;~WBoLq{gVzhX42-2k9`os`?{le&Ohu-_!Onkh(!kj;V zk?foQFb=US@!1!-<$@^u;?-PKF)_U4{j8)rz=CnX$S7S^>&`A1%g;==#4 z`1$<*IDmJ4JQ|~ib+_)qI}Bbymzl0un~O0fss=|&OAyO^nBTrkoJP8 z)F+38qq4l7iWQgTnI5T$!;ochKc=nn75`WMz)3jPsxJ=X>dPkbPW-I*$(;}cayk3f z>!#vFR;f|EMA2+yb*j%+9x|5IW2{v4jVInf8I?Nm?+OX@Lt$w(YN;T~()RmI4RwV3 z+;`--|!k<@sWwH!>Mc>V&uu}Z)v4`>9 zAAX-XXzLLd%xKd?FJNEJwYDZ4@+^v)1etXdQPcu@Ij)Y!_2#udSw_T1pfIZlk&Mb0 z$zX2OJSz7|Os!<)wlm|K0X+w`U0+5^L#AH{I0jGua?kPEjDmXH){9#L_9t`m&TS8HGZbUQU9M zWa&RGEzKyQ;@fGn!2a@=zcdQ6MCq56l^La3ETd06@q~${m*6P*jh;4bT94=N%SJDn ze>?v|_2uY6+E;uPL@Sqc0*)4I({Uybv@e%cU-~2_?EWNb@5?!cYG3(Ns;sOu{w+Nv zYagn9*>m1()*;V4u?krw0mx*~k@#-LhSp*0@hH6d)ktGi`{t$5`1#j|G4)R0E`r;S z*5VKE7n-F}VV4r?j~`H(?V6J4n@^p(Rp2! z2j0h8XcZAFD3h{(m2bt-vXZv8_-`GTX5agGKaOTHB0Gc@SDHC3WHok10=9mciAt7( z^=A8i^rhvBJS;r#{Ba{tMHhjqE@Rc6(6(ix_6B?TVqwY%#07<5Yu-tG{rfL7EvYEB z^tq)n+)R*?YDw};ic%()OxY&$D?f z)Gnn6^9EY^zdkj!&r9a=+gViCL_fV;T5{WN4x~itO%sMAG1T!2gX!=f{bT#>6y?DY z(Z!DJwnW0$R5DL9zq27>vQp!XtG{`9pHCs_e$JJ&T$Cosnc3Bn-sh9K-~nQdtYXxC z*M#+5ha#3s2`K9A%Cn?e5*Gm5l6uGX#2-|W)Aw|}mf)z^*w~J{o7ZwoSXfxEZ_v9n z&|!n!c|bd~HDE6_59olQb$G-5&jaf4t~jK@@Zb=Zm8@aqo8$EFqw{re1DB(H@VB*N zc^Aks@U&jW(62Ip3e=dSz9~wHROsf8XC;_8f6QTerW+Tsye1W(jId<&FKBD<)*UHg_C=qTQbPs8&}K>M<%VBRrLLoh3U~IBKKG{{- zZut~VOngJ5Xql982JoVvk>7|(BLfk`G*zdCJFzknTDi2_l7nWSbPQ*tcvfXwB)u<{ zyz|Ba5 z%FF5V_3l+kU9Cwff9a?(CNJ>H zd8}nnkT-4}UqYWop4X2S;iefpcmMsWBuA}??P4O!?K9Y?Lrjq+imsHpd~nuSR*>qO z<=i&L-aL!7I+gyI@#GXkU(n+`S5OCEF>wc|qz~bYMCLl=>%NFwpu;&A=fy>uN>Pa% z&tg`Iie-ehJBa*tiuFq#&Lm#^;SuY$pMTrmjl1Rn9ct#X;v)Gq&m`iT`S8OJn+W+o z{NWFXi|d^$gxrvxX*EY~czRMyr4P0n*{=POW6bJU*AM#f-nstL`!N7LLfgtiC&|OYTs4^dwKdlaJ>H*yiIvWaM!5fbrx05Y)5nf!mZW@RZ^V}t#wYGcG7@a_=6Y};Dul+t>Q8;VR#^t82P`RN^t@+1+c&pKkt6d-0DiB z6eT{&T(2`kCwo~0F%;6S_5l=xwA&}DK}`> z^VOVE$kt^Yhm^0ZqED$?Sy%7H9G?|ucIix#wgN=3PFU!9q32Z{OPaMIkZ4CV^Kl21tCSTs*(>am-a{$bF2PfVgD0F_vhSlaSEmX zU@$fPh{6iyDs5n{(l#Z&oUg-}puexmXUBeo(#=8?YZWEnNd!bul-!=;`)N<|cV}W| z->;i9jYRvR1O|}6=#-JnqsVGW`)kcIxGb5;lK6ZEA4%TNG+GHADZ4Ui@wbmkSVx?Z zhfFP0P$nv;2%jZVNB);3f4<$DS&Ik%n2qPZKca1yUj93-2aD|pT4f8KI}g8nJr~b^ zTuKXREB#zs5W|T2d9>CZVa2Dvtf=IJ%jr}!9%s6z%V|+H;w8(+EXm0VN9u2g?npJDpOurF)X|S)eS!Q-RIMA`_u*SWhqZt zz7}@I50*Co7hJyp0WNCc6D9MCF^PC>PbNyKcuKHa7!}d$#wR<>g3=RX-KGTGmB6>Y z^)0s=nq#k;ZiPk%qXbS9cxiPB{Q`rK&SmQNwp5{%`98T~i#OMmVfNS%+|B?WNfYzg zu4?Q)QHz*RAKY?&BvbQrw-BCg^~|r1<~Gv0*p@F;(#wc-vyoOh5eXJD79?5u=KEw; zV%kB4buaxo&*SpABjjhdCt?1Ca6I*PzVXSNJ2r^QTQgQNIet8?pNX{k*0W;NqtE3a zlF{{Z(`k_kx|AJauF2G9`i%PFlZ+#%FM{B4kpd$5D6y?z$$zZ@! z6M4i1r=y1ck<>9+aG`~Ycr|Li+)IA+*QE8ZlC|Xv8N~GNUsqt^H4BhD`gCfe{+xHH zj**H{cTXFILMrY=$|4M0@{>WUC;=tl@dWgjz~lb}6hLnXNF}2HKQCl4P$xXtf>bVB z%hI$2=7@`+sSE#l9z;U1r}ICf!x?A6C2t?raTi}m z2_vE3BAqiu9Sx`DHIxb6nYq(gEBkS(GahpBln}i3!&IEdB>Fie&DedMOXf`O9z)Bo zi1@t*avlElwdH(Af5?Vyd~8Re?>>Zj=itVa1Ni#*Ff1OCYWDB?PdMu>&rM39b*v7R zw2+nac`VCaj-m2dQB{u>AMeAm5BA{ocedep=INlOuI+SuFUoFZX+0)IC17euB3)AH zU&@C~E}1 zbuq?s+#Q39Z0+^+S%PqUL=&TUOZ6{4BuRW7{r_61tV`;fQu>hQ961SZ-gJnfyM4`e zWF5@z>#6#+e>D@2Z&)70x93YYqzyQsvWLn0mYta3cb$fV$CS z>QDxbz-$Hy9b+B!0#@@0p=C0N%4jqLaU^Y$1YWFW4fUg3o*qXFX$Yga<0E{jTrhF= z=023P?9lxSm?L!l#86fUV*W@fzg2Y%o?(0G!lWUua~_c5ON*f|16!EFh<%up z8b|}0mB%!gg=@z$!$rz)TsSh#D60+hgIxaMUeqz-St8&= zLm3>k<`4>s80gds*|0AYJE*|LMFivg$)h?QQA34F^uOnRaS!H>if6^9Rw}-YXkpa$ zTYviyOfZ6ROc9jAXx}I<7q4Ix`5liwi$q#b9U;l|A8nxNyiv^O6tU2jQxP5;9d7=P z>ZouQWEUauRPuQ7!;N4v_XFFGm?}z+=);-XXds8R?|z9IDxrZvfz01phjq(0utL|V z>-! zE-QDG5L!rOslLDR%y))k#;8F2>3#ZJQhcMR^wRoRKFtEg=+H_>|4g1YBGrPw-DNZ)VFNW&M$3wg6q1AhiYjc;UW*77R&QAxB{Bm(_f=2BeAhB}qsxRcKNtjxzUnpbr?d`%Dk3T{81QUtN z@}MF?d=^)Lyb}c&J}&u;$LR-3KnW;;{t)PV#q3WDdW;hA00PwIn4>cR(^Gx$>?f5B z4&u@~t)K_8>rHa@Ipad`;nphp5VGVXl~R$Cs#aV)%|4&ZZ(Sa1qU(R~!bt`j)uEVv zkwHvmpU$OssXHGYmqSI1o+63@od(IU%!4g{a-C8qRBLCX9i|pHUo(x z6U=e;{4<0ZH#M<)(sVkB#(XHhwA;*z|aTdeEV44m?#pN9|k z6$^Jg{V933fxsU6Zco1?6M!uHcNCcglcuWUMt!XWlzhhwgr|bCk_8eXJOQJ&gw}(dHsbvM&l2?yncDIIOpgw{HbOC6lQd+?>ma;US6n#3S zlcaYlV5!SO`lL!5{goKH6BJUxm3*MX=<|B-#ZfrG5}jY4;D`NG#zVtuFmA#Ll$V9F zVhVjlw=!sGM&DL*~IOQ**nFflx`K zhhffTGnpr~6+1rPg;H)4|KMQyR4%+`uH7}(ZGA`_5r-ozMHP*PNm?>+edK7DPCsl;O&vnVrt6)Ts!ZOW${E7nK} z^pXlc10j-w)Rrwk&LvCl(Nz4#P9KeVEb}S(K*c{Zhn8DWJj0k4N|e^U8xK0HJ5ljb zn6`KdgSc3Ko-P2QfX-!Z(-8X74z_IjY$tZD+e7ZYM#0|t*$(8>6+lG^C;|5&;1U*4 zxq#HNCbyJ%bhLQ2RKusGe<@Y^(-*1cA--H^s!Y(IHl5`d+l5}1Ic1E_DEGZpfD$U9 zu~g_}8M%^C>fd_jBp#X=hWjs$IH$Et#w8^I&m@PlYw_jYN~Fc{!bvOAQ3fvk>dlk* z&l_U8RXI9S8)w^o9hdaSkMzMawBS~da|wgbr_;K*AdXA9vx4#G4~vmRE2S)#AIxsV zMN>kV5{XvO+-mIIT+F(_El8ghjrf%AmRYH^AtK}JXf=%CuK(}OSbVg-+9=kyE(~EA z&$j9_H-9@F8&_^ZeOe<9?DD4HqCZm7Xl=FDn~FPytekZC^F3G-6^>lycZ+7t-T4YtSKMFGK?p<#QyZ7e??<`6Wst<0g21m zA@r*ZV?dFu(ud65x#rK-w?Ia1SC&<>ZThxS8X1Vw$Y3E+LeDn;w&VNy95pP`RD2TU z&!0={^^C&zr4MM@)KR9Ea|5lxq7+Jvb@>eukwo=5N3t=RWi6#VqKr+xgZA_iV|*5dwt~~``58R!AUCG(ZixR9{!H-{w{=W3x{Z(jT;`@KK}l+?X1Vx zemiAuZLgiRui_rlpKGy?W8Sj|Cvq@BLA7@ZbUTrf1sd$V$RTgvhc$Ng^7~c7c zOSCllJ#a-V6;Mg*Q;+BW-!5Lry^UhJZh01NduS3S%fvyO4rami8I#E5+hynJF25Y&ibE}tJ~UQUs-u`@fI`e#Y%Xr`U= z!TPKdbT4RA__L}iY293nu&6L3GjK=xD1kaHtZF3BMJG$l(sV6ruOHfxVak_!klkY6^=Ip-6B7v@^Hs5n(fZrna3AN1+A18&|>;3N_}%lTuz$aOT4v}!5pHsoD%9iMsYaXakhPX`y9>mNYO#v720W|Lm-ci z^6KyRaM_kMxx@UBeWU_;nN|4pch_O@H6wBFk7jV0vrVb7SwN+qT@}!d?R9+}M(Y&9 zFUQCU+tBn*26LhYA#KJ*7&dx5@-s`3$!Ka(9Gb<7Slb96)`0iv;72K}B-y^CM6yXn zc`2sH55wZrG?T18`&3hJ=UUlG~Rs0zA*S0>n@uv{^$?~Y$ZxU9#bP(waqY;}l0%N95#S$i* zfBEw-vH68HEJ4}AnGD9y9y8=a ztthTA?iivVyK0HlA&2N;9jL3T!%Hu{)IMri%}q^B#rfx--=`b>_6BK#LiU7u&Xc+>Cv$!!aRzBH$^!m3~Hh;Cw(5*E&mD= z=cYrV!OtWKBjU02&UiDf)o*-md?7`N5fRH$Gnb~l#i?`%q=pJq1C?L@K$aP$U#UGJ z)}cxB(#@l%b|hWWC)&o2;0DIF+_JL7Uuma+VhS#|?2@mha$W*UyezGdCQUObg|bGT1H) zXNqRqL9&lk;EUzQQB&1~@zY|k=<1Q(_UW*@-7l}Yb1a_uA4zb|;1%|%iB_~J^An7p zs`xf`l{cT>i(`AsxHQis`_)aj?i=Zty707BvFrX_-;2^Jk2aw{Xc=7_SkL_TPrZtF z{`LXx`u7_V$DpJ?JoYS3tl5X_Ui^-!-5$NQ(D-VK^4U@LZ9LHN?HON-D?vI-ZSJHW zWk@I^w~1ZKT28xQiV5hkxfq^er54Ifj|a?*l{7{Mg;10}C~z88ne zYcVX?-z?FuIYwoPiuc7chu(77pE1i#MA#`;ivAq$$YUfeR_37`M6xQCh*+Yxe!3kO z+_-SST{9dx4sGkq1R7c!@m%Ih{MqnAs81+z>T>a7_G`Fj`0eobwoeI_v;O(de>Sd2 z^18aZ8gX%P*tv5jCQX{es&941KV5E^V`AEFYKn`CQCL`rv17-!A6HURg6QaIWM*cv zLR=`KqN2=k@_zK_(bBY$7hZS)5fKsQJn|c0^SzZIFtNbOqql9@+8l^ywSW!;Rc+Jh z2}tUspMEU?S%r;M6lo2N@-wyG9o2D3o77VZ`jf{i@#3$xBRndA`6Mk^`~C?g8gIgt zUmxqJQ+I18lFRSk`^|j3{`=in|4}ApElNgkh%eJ6l_GI?XeaCE-i<}r^l1(z&Wbbb zG*gRypUd=#Bf}7%+`n`@2jAI@m3!YXR?M%CeT3sw%6g}BQ-iQU~RW3bc-K8Df1R{Uv2`HrO(@hd8!7fwr~B5MDQmEE0m;RfT|!nkqcFlEXVEL^w{ zd3kx*zI{7>`qQ79<$Y+7J_RC>KCXBFU>fU+2V(!00xpr)V|W@ZwYPS*j%DmG zN6MHsE06poNHo7Mm1$YR@3jKz&3vD}%;VXdPeozYW-0ycKfh;`u}@xJjT5Zb zzVxn3OmLQ@PFlZWBQCgpq20^W(&soPp_j){O3_IcBsi5nQ%YP~sf3DI@-Qu;)fLrP zaFyc{$jdle7{Dc^S38PW-kW(&75fQDN-9w{>CW6P&GZ?U%mga#L7<-L82!-M1_U_$_jEoE4zww-~H})@$}PA<6YbD?&1SA-{wwjhvRu^)#G&iwSCoP|ygo=asl!?fl@n3$j8K1s&6h*l;*zsi^ z{_w*MrazsI>Bk$%r+NK->A37`ZPwNb`hGtD#5Vlv&wI>yrOCRQM(o{`Z_b;a-Ik!g zzJ}?l=%UbT@ulCPPZHoytAX!GB#lbMwf9|tz|a6w%||Nw9Ncmke|q#;M#eL6h!N*v z4ahyth;ug)v1GK;y`hZB@ug~!AFCXRRWgK?j;hLQaFV`+j+ChIV8pSWeQ|x;-;uOk z%DVTlJg-_m?I%5E$|$q!E;&kDn4rI`u#8zH=pU^ajS)ePahut*XAgGo-ffn}@4N3l`< z`B~LQSz7wFF_^lb_x_LPqL)4+mdozPF>+j_*|myFAWPsNHnDAa`{4Fs6y??M^ENA_ zq)#fysm4Ywi!Y%i)Ltn(S&jE!JcwZ=TGPtY<-ZLFcL0lrj_ z5*RE~TUpm;CG71<`mtYOPO+)-BUOYPQPcfwT}T<1%&Y^fhaqrgRr4B``cF85hT0$RMQk2(|>7q7&D~Uyj58 z$GGtP@sEFO_vP%0ASC2;>O3(*h(G6p4?fs+H}k&ZzBb>^9(UwMvkJoOAT|--(~i=Y zwmKf?sMo51I*O#WMFx9QQ}s#Iq-;@9p3hUz>_U zJByJ+U(kR+A1-lQn2U2dgKyftiuH9&E`Mry-qvPdun&x)YTIDPbAEOW+h?uz4#8G2 zRDKV#PZ{(H9hMe~)bwZuA(c`=Y=$=jk?#J%)U#Y@xn$+bG)`9fZZgq5yrlY2GZV&t zW}?zNc2!DD-tzGEEYZ2cT*!mNLX34(63I*DpTyLJj=MYbwUl-g3#%xBja1O2%;mys z<~!UM)7EJ}`d==-;e34g-dFTT%|duwI3$-Stlr2z#PY03^;EiRO?98lgK?OD)ts|1 zwzYcp=OCW*`&Z6H6|JBaDx~pDPvyxXSrkf{JwYtM@x$Znjy4Wtg(_POoQ+#~9@$p=~d^z5F>#aVcmw=^x`}UdR zWT{{LM(@4%-afZ8PzR_2I#6V_U6&(}!@QVMcRY^Dr-%=O43cOm-1d2{!xT{Qsr=6W z&S4JD3R(qQkvJlhNz_k&4dvXj^e=%cV$~9ne4Q6wmu6nu`;Q;1KuHRwj#69Ih|q99 zV}bOc!YO@}=zNh(Ca(YF^`k~Xo_@hFle($nvGC#Yl;5~ho1|SYjGt*Wr4&U0=t*WS znTAo!U%6$~4leoE8$Zx_SIjZV$9vk}-fcy+e4aRvMZZv5dAa;AiQFY&{mG-b4zWI- zsee+&a`DXW1YCrG1P|M) z0-f%%SG(`c>23DEN?`y{Pa;7{7u`4tAH8;jK`j2p8asPQGNvqWjCFAAlxQl|VK{k$ zm1Uy*O$5Fy(=53m4VA2`zHduDm;c*RjvU)p%9`qBh+v*nDQUUklWg4n&}2-SdwNM~ z)w@-+^tIr?)`KX>Dk49NS)#0`VtF=+N{GTmw=Fi+kt9L9C<+55wbixsGwmF~AHblJ z{LFll(A}Sr<5BUBv2gb^hN&#;Ih^U2nphJ)5X=AoHrGi+K~&E@>qrhNPE~QT?JHHH z8tXczp0a(W&wVE#7Va&dY%_B%WlBXPfat*HLzu!W1S(2kFbO0iB%JjcB7s0#wruIt zr62w1M|kY9$4q230W@l&HHsk0~#uG5YJ~p;QjHb%3g!#VJY2>^@YTjDnL{h>yh~CL zOzWtKMD7U*T9L=X=~6tQ1`KLbck`$5TA#1FNU zfh48*r3~<5Mu7AbOlNwefs!bekra_&vx2NbxIh2%!a zrhLk{L+SThoLAy02y~ooKtOIxJ1U>{45_Q~X-`{@JXRG@N7B@`T$+GHdf)f6nRxE; zZM<038vn=ZzA>&nAZRcLm%#j`y=7QbYxpk=;~-(spmcYOq`;tbmk3CAhk$g6fHacQ z-6btZ3JTI)L#cFkgXbCC?*D$@^Wj|QI$!5nv(^)L{O(TKe}MMhWIEJ#vpI*nRcrC& z_kfxjL6y5w_87|;JXUc{^65I7_F+wOczIS$9DyJ^Ia{6ob>Uc-pfU%RjlJh&{d?%cq=Q;Y+5A`%Zs;*othB{8ZdE3FX4u5 zilYSamxJLCiry~EceI628hD?c&@Xc`1QN2`Msu4Mmu1Om?|ggkQ(o_jvO(`{rSDQ_ zwM!dv63(HOnwnYx{x30yEZ6O_W=xVFg)&ecB)U90u&>p;E;IOY+#2QkdP(e@4Vg~m z@%KDm9wmb_%dd356e#dxJCf*x->Q($k-cx0+Kpk@4DW?tJs`^I&KH7t@TtqBMI@yJ z&TgDgyy3midUz2xD(%RoH`qScAPwC6nN<4ouApa9XR*_0p3kBwv#lS$wgM`NhS?AHT##FWB*Pvb_IzKVz}l zAS^IKT=}&_-SqyE+HLVng7-Ol8=C&QIEz8zHJX{U=_}hu9-LQC3k^pJNXC0cjz7Kp ziKS+?UO{c!puGP&uo4Tlz31t8z!5UOt*_Pc91$HN1Hov40c~@|SYK6aw9v!OleEUW zHAjWom26^ihAc86*$%Fq%6S&u3n;qlvvof?tc(*JzB^uLF{0&+O-_m9{E}63H_^n; zzPK8cvZ`Z9r+%2oPSss7nq9}3UMX+sOPI>SX^T!^ilOA-4KeJi)vQi!shfUAyWj>@ zLq2NcpTK7J)5YDrBjf8cDwao^XdWSbx57}vl1jbhnxAP^wm!j)plMY#sf8Xl$RFZB z9OEb{Ge%BNV7Cm>aqWYUz`gF`e~m*^xF<2asJ!JyMa$8x!4I#LNqqnAD4|x_b|>Xa zcW_Xljw%F1A^9GIU|6cVd$prXh7S-f8=4OJLt4GH}STgn~=6ud* zgnf*_^elS!j8Bj`?TGvO%f7d_M;fmlT-Pw)BJ4}|<&06inAj5)kWn9!R9qu_N1LB; znX0n3OfhmSg+juZ&vpdQXG`kcMC!NuK}z%1od^VuXsNbwtKVtLJs#^GPL%IF?eeYp8hKQnUE$M1sd05x;HjnLNQF5b zNC$m1+~^nohi~nw(izpqEL|K#J67+cS%x1*$%x-95HU zFsfGbVbxw*^6)HqLrHI>wmMD0q~y)}-7~fRq=F@PPD4glISj3?A(^kLm$Z>v!V%cN zf-ueBocX2I#&SwW1^x3~zBD8w&?OoW93dnzs9XN0D`P$*6~BlH`gK>@9PJNK3E8FW zS)CLs8_ix7*fU^CszsFJs`?|v=c~20LnjXRVE5Wr{hZsksmHh<8{lPs%e`Np)BN82 z75>esg3SqGE8Q_yRC7wku~&w8U(d~2Ht~**M1Ox3)AW9PnTxH4963o*|A5|bD!#f01|@ZD&9O{~cr_wdz?~`sSR^ht4F5qsSdtL?99GPg9WotmyP%8j<0lmlHH zERzwfV;^&y$*<2T3Fggb?pU4eeCYEpCuO;J?;h5YGTvaBineyx)x`;MT|q=Tn7*z* zkS5gC*SGa)Dpzj!o3% ztX=Q-`HP?2uZJsC;OQtn|6H#j{#%?QRHSUkda(OVxD zr*luDXScei)dYc=<-V?P*IY0uweqps38h<>X$F(HKe``T_9i{P!`^&K#bZ6GpTx?< z^o6;+(J+4f>gs9_OpyGMXqMKdswfnoC~`GQ^2lu_DK#l+tgq#vAjC z;nT+&z33}FnxEA)Rf4aQ?^6g+770n^HGYC53(tk1yy$Ztw>>G>^KP^#zlzmd%W{3v zgj-s=YsqSs6{UP-RUVXmpMMuhWbe z1yH6Y;E6h&-SG}e6?93;^*|?bc2-6i9Wzt9C#+Xtz#_Z z=_8l2{0P2$>{9BW>rAnDkua^>^#w^;jmVmcz}^kdm|!qu>|N9@R>AM`@Cf1bV3_=K zRy%zQeB<~#$ssN{bO zIt^#ac=iO@-JMpS7uk+U{#w;99%JqkYE}^y+ETUl=BX!fvij12oaYj%Pv1)`Wxbb} zcM=G#K6E;b=BUZ(aIeV)ed;~-T|kOmN@!0HfLK#qXE;B0Mnk`swWE0lc(FtU`@ybXJ zHfRKy$hzo_WOPx3e36nB4MwBSp8AGF?0bgCN6 z(8VTZq(iMjAI9-4x+OH6+@>u$nH@$E_Z**g5Z7ercQ0Fa>`t{!sh(wS>k?t)Zu~sSLxRWqL>=s1xz!EXAVc#%Rp2$CMjN zwVKh#M<=4sY;KL0PQDYL=yy5g_vmSzyXt_r53z=Z|JD_93zQ6^Hl4IMff!g8)+v2w z&xZ)u6KZ>OW_Dryb5N1dR%f6>QK@Y9rB2V+x@GiCC2+pMjr&vh>7oj%tMQbT z^Jk409fRK_q+~vS{`_6o6C0EGuG95(OI$QMg3*XdhhN_!>~z*^m@?QN>r89X!XVdG z9R^(t$tVHe<*G*BkXkhh#HmIc%?`EXeCuyj_skw|scU0MudNo%qS-pLBsbNT;=P3` zgXT5$${ary&4H2LaRbFoXsWE3@_^a6h2R#vTIsTTuRQ;9dS%z-LHL>#C zim#^uucr&_Vquuj=;1)lt6`3V;8UF9NyQ9cJ6S2Sq?5)e!jGe{PKvqneWYur#>{9J zaG(!{*v1vyPUT@=c3o+bL;W|HWJoJQYs%u{6_fWF)5Y!A%K7p?b>{SuMs96vV6Rb! zMH-uE#(j@tync`Kjs~M(^#mtlku93XEwnBe3RYH9m6*uZr7*`3UdZ6nNiI!s&Dkg69 z$~b-uPejp0Sva6bMAkndF}nNhS&*V8RcS$KNqbmme&TRu1RXoZ0^gz-QC?~NIf#B3 z3}4CY1Im^^&gwm6JFP{n;zCz0fn@%5rIuh(fo-!dGRfQ+AjPxmNvz2w7kyv4In|hl ze?iMdPMEytli7z!M9K0$z4uT_tqYmTC7x?KUufiF{%}I)t31%~czV{h9h0VrfOvqR z)R0LTDyPeE>}imHPnB45zX_o))*IZncw64oB;xqVE{FQ_?0jut#a#81+p0927fN(y zgtE2J`_4FdnU=;sUH<^k&)BQ`Rx7scBYO7) zRy+WPOK@+TK8rN_Vi67wb{GX+a5+nqzG~3}ipPeYA;tHlFK+Vo_^ACTU%)0x zG>z7?0s{lnDq_z4aCZ41x^np)S{)qBo0myEEBXh7eO)5T3l0qZ+zVeysH`tt?_6qZ zNm8v~a=ETRmha%x_T!7o?DsW0-5zhgpe?E=VV5ozKTF}`oy8Bz_EJaK1SxT?QA`$LSD<&CVmY{hb)8N9b@0b%<~>387`{`_h91dK}0 zs~)9@c%hgJO-YBz(q5R0ON%}P=mZ;&;GNbuV|j6z%XKrR3MQ>vBXms);+6~zxSced zRC`i(&caJlNm8D5lhtSj$@ghOb%>1?SbouRj^BJSyYq9R<=VOK(ZuNJ2cm*n%#e@} z4#N&K)wJ%~KIH*j*2f>YG3NrB>g%VV;a%e2baD#|zq8&lGH%XMQS@r^|E=4&XeFhZ z|9oGkdqYJ-i&uYZpGq}ErC;#D@E4L;Du5UL9Rxo28yrO+s+Q83<+B<#HJ2gJY1aym zTz1Xe>$;qJjMGWVVuZ^-a!Trwmud0+7|uAb&BVoH#-7Q1J+8u3Sx#jH@+r2T)Ojr} zpTw}M&#St-E3#;mn>`njd{o6Vuw76H#=bC56dE1&r`$wHB z-r%)%sL3`+!uhPrYkg2Wkcxiy6U6=U)S*P9;!Db77M8o9sp=Qd+y)V3a@m#+av2&L zn*3<+?1BKU;^pb-dBG#u^pQuo(8fHJ&si5KugT+7HY}fkgRfpLt%s<0aoWlI0L&2LN^_t!)uLjyN3-OleEgR`py!Fe)d=!qq}FZ)4P z8WLGjz)-ZSL?&SU#}?jIgFGwqZ3Z7o>(=eu3WgHBHrOD%2ABA>RbIdNnBI?S zZ*L_(QvRSix?_3>JE6r&An9p|^e=fmX1Zl+U0|*$n%mxpr1$nNkg=e8)cpLyV4}^$*1qFqQ68pb3o5VMQ$+i}SK9$jfjh zB`0B%;fE~PKNt3BS2zJ%XuU!MP62PnB5ERTNQp5X2j=d6_I@JN71ikOtt9`aw<>Io zB1AU=(z6dlj6cMg8z#3+VB|U6i zHKiSlYxUb&dLYP3r04w+|Jv{HB4_oL#|xQr-9N6J*w%XB3vsuVXb6(T(GS0k&ccPh zeD-+nSW;8@q44QSXYa|{dzjPUA8OBll1Kmu5|lX_I1}P)C$PZl_sr5{%l1x*I`cAX zjp5Y%Tu@}4x6O=YnKQ?qzi_NV4`l>ayN=$L!4`_2gSdY#;eBhtko93p*9$GBm&&1m z4YyCB8x!B~mz6GVNLvZgFAFQr=@;aku4}lV|z`SNq$j|P!&44se zrwllh2D)ywuG|@PT8A2N`<^uUVNRMjSl~dC9jT2Xlm&ekL)$oh3QqEb_1k&<_0>J0 zty1{S3E7HMoVb!5+wvjBk1sGOQZqM%i%;h$+dh^c4LiVALK!_<7W3eqglfqoc2=R} zmJFpPTJjd_5Tg*_ zv{bstqCa2(x92|YxnUmQo4~?;#`UEsX=v+5B{H$_OxW-jE{&I^T>~spO=^D@rkFv~ z65F$VEpZmxCgc5U;Ufi}F<}v8{kTe``j#4sllj@k6lyY3@k7d0jI_8=`SEGhZU!u} zD)RkjB?t^)g~ed>9d6{oH8?Z*CZ}2qK)=`F5rUfRU)LFV=SXww3sIWAZR#TgZ6_vV zTHhnMjz-?5=M0^r+{{bFnw{>|RH3+4BBE5_o zZ%?mx(gnhp9fS3t`}zGi;154KX!~NdVnm-fu0BB}K#8;FIBbFZ{3v4r%em7Vd$8rB zx50?Nwm*{HFaP*j)~Y(L)M%FvYsb3|^^?a_3KI|B9IJo;ge_F-rAhDy-gwfEzQ&px#irPh~{iiyYme()hrC^n6Otw;=(?9)gG@w9%Lo-j0H` zD_Ebi%;cy=--$;!fXfv1zijRS11vBHtMYWPFOchZ5&!Pqm~7ITT!t4nLX5=~=ijd{#mjnl&b>57}tBZ96wzI>sYiD0oIxE@A0^+Yr)xsqE zpop=+o9ZX|{P6c-XWR)iEB<||)tvT5o01doLo}fcF5z;vE5r>tmuIe-$NEZQ?H<2V zUZ)TWh26Oo(fEmFg;bih`e7+>5AoN?t!Pp>RsWR$DKWlUuvACg>KDgYAJsYFDwKmM z1D(nxp3jHb3jt65BZB&$f~A-xqHjrxpxcx7+hLTZDy#84QdUotNdHK%sppKP!ib`@ zRF$rO#6ioU57kO~>F{=nL1wLeZD4UFW<}9_V2xj&ek?E!ILDbF4bUC6k<8RJL1dN{RFZ!Lh4B``j2TIoTX_7UEl9YNP9C{!OB;}WsB0x2j9pJl)s)cLeB}4eroIq zwPdy|e0$Dm&(TO6dRg*RE#Y~aNS9vRh^>>8KaRZ@*j>XlNy84BXQwhUsWde`Gcjj{ z=e{|GFztPQNrkKcbzFoh)J}j&X>cqKfr%^D^uWi|CeljoTw?gzxRbND$x>bM^EwaW zsaRj&1rcx{8`@fqQG*4I44#2(jT((3T_hTt&_ygYgvu5|$6JY~IMC;@<1y+(@^62m zq^s?h(q8|-c~0ttq&h+d-IW5sBq96ZRL3rsR7L{D;#0@kh1E<3?s4899oLWVYM2X; zEeWh_HXO?Ug%X5~6>6q01>DPpNQ8=lS!1;bE1a_G8;p zUq#vQcDRtLKUX{mJK#2X<#}m)c|3b|D=8`IocnINuX4#duDwyt(g#BItOCa!nR27C zm~)pY#Us&r)p_6C&K=9HkCz+)Brhy2-Rd!5t172~B?Nt5epeITGxl5fUhNjjIqu(D-`MCmq^>@#Pwe{IR9T60eSN)q5JQnE{O$#< zOI~i(9!GlRN89Hgf^F@}>?G`W7y1V3-B}1-%+?3$&*2FJOPwucW%q%n&erWcA&NZP z8)W3vQY$Zm#omi)JjEBkFYc1zhJER!GA8SKs-gBl6B#`+n4@QBAHMeM7fwQ{@Kqrw zLRoTA^%hCh6hqz`sL_ZWa3q~r*$8~(Kir%e<9p#1Gr(^=+s25du?k;Xf)o6(mF{TX z66Qp|Ql#P7__-D(b=Hj|(S~|KZF0z=C3aC;^fP$IsaK{o4gut3 zs+QQiOk`-Gy%xmxyo8$?uQ(mb;*cf6yM%jNsS$MeBn|fEohw1|JCQz7{J{~H!#EuK zTL>C%qiLAI(kgyn-Qk<1&i0vi(|1e|Pp_;pgJxh)xS6d}LhuGQBLYdc5T8Ph*|dJ< zxidx~QEw}zQ^Q)6>iy~8SXr!ZCl-JcMtSaNsOw)dB3o%UeG@7?bsZG>v@}uOH`Ym` zQhfgNv>CQ}kMl20qw%5pJjfEA?OFp>``(??mMSIOqmO2#JiG_mwxj-dX>KI#0~sLK zNM+8+9Bn0PC%h!C9^vaESAAU9BUiy3Q%NFwbS0n!HhY6Dbiit-QQkF^!XSN#EKYb? z-782`<9R^B-ULBEK>)Al7{qH=M9#gJtEqk$2kfZAGHjKB`rLXHtNH6;e93=&BR6uM zL<&d|)GwoX0$AoI(vR8iG_sb`P0vmYpvs4D>%6IMUp>nG^Jeh4Jpnk{G?WN$V@%|6 zSv!G1dFD`M^@8W&o0Nr}O#i42dtSu(!^7@>chxu%vgh0gLd{^ICl?(8lj^x;;lfje z-78VOL1}6T@Q2uxBkmx#T)&VA+pyrcdAxRd$(HS2O-4-(zWVjbR<@5W8<*d-{NL^S z%K$&3e+XPh@ms8nyrjNK*}y;osi?j_#pR_r{_`6%=FfY94-`Zmkwa_+P?1{_d)E?u z!@N+WNFENPHrcz5D5vl#*+<+uGWz>sAag$qbBBncAHMeuV2uB?NJfAUAs5j*_kLp$ z54o6p2T;(>1%L-#nUHII-Pe2JkGAvLeQ61Z)yYP4_K)pHjs9MPD+5AgIsNnyvQB^R zyW?uS$u8k!$ju^5ut?t1c`c9XKKpk2AD|3g$lw=&Sgh1DJr{bIEPdm%_Z(j!El57D z9v+ke!df%JZLt4XATad9L?BqbB$f?OITD{Vwtu{CA}uJl+5OnIVgGjp41RtH0|KVx zJjPRK{>AS0pjN<43KBE`npIRnB-lK;T0}kUeN#4mvn>S#A<(D9Qf@@M-1QG##18nh zsII|6AW?@(P0^)Sn*NN3(cKW7mNk@UgIHNx#c(b}v7sEyu(q~7)I|S8gnV_}FdcT! z*yrV|wF&U60fc$DSMl z0;xP+jrZo%gr9wR*4t`X7`1(B$h)k^iK=@y;zqaBAXr=LVCmDGJ8IS4Hv5seRcZO% zdl^q zfgacphDkya8|v%Y8j=FH^n11XW65p1dq>NdZpCMuE(@B~j5h=|3uO@&-px9y0!%mO zJ(t%+z?AlrbWvW<`9^z2`gSsB=o+FNN|RJ4T2-jGcg~aRHupPrdJmOGXf{{A;%~{w zKr%2eK*M;Y*iuqi$t5OHiC0K0V`Ib0#LSFMNZ9FFZbRtiLS(9{iVJiCHWAUfLc1k- z=%r1!3kMTZkyo-{lN1SQq=}EN!AyX0O5PMQX>}kk zcTM;JDZY{{uK$Zht-kqu!Txl_mj`uPJXZQ-CHD&qCYx;88yg!rmM*2GWQdmuRM*g3 zQf)bv1<-K$j#;j-~~~d1@8@Oe>6qlNd3!lfTsst zfM7XJO(e_w@2_Ce=X2PWZ+_5U`Ew%%4^t5gVwNZQkBs>v!X^>mPjF!^6Tx!-qFgU} zfXC(&*RcOTzrIFD{QIu%1^-GvAgf^Wz|fv{F?E0Y-(P)60rS?}N+T=!@525smn%E^ zCNeCnBmMf29+4dHMV=W$Iy60v!OqTpU|(4_HA`AN76PJ7P$;x@Vq#+ZIHkfbKAr$@ zsM%)Hte2&w=;+3vVHxAVTRpU*{|k3T~u2$}y}NY@@PC-eh=N-l*D8_~$t z0d7+_H5L!@g0usCJ(3{W0nH%C;eRfG3?X_jQ=CXE|8uH=(Y{MQ49}*Jh3Y)8clY+% zQurOQh>16JZyop!y|b(Ag>Oz(&5jR@rRFPpzU&MqHY3}9qToW3?0I5*y;%2%jjf+F zsK7`CGK*G#Y0gX2Ao`y#%IH&|ui{+7hR16Em6r&5Xu!4)=9ZgvFC|V1glTFf1}DX% z^>=i1kX?Yz(E&3vGsgp2+1Z??y&sNG&JB0bNd%nGfG_ofu$O?Lp`rUG3}8nv9NTg@ z3nUQq*r-|^@ww8^F|1Y6s3KGponqRI(KL~CP_4_(oI*C}Txpwsa&EederTfWen3ik ziM{$T&i5DEDo*1s4R>wXo&@&Jmv&77;-LhIcYdDk{n~5V@hT?{O267PV_;x_iHW^E zlVeMAnQ@S;yK-t@z&hQs^9e;{E+_kzH=kqpfbQ9xo~OGC^a)PF^QYf<in8%_I&Vg%hl0n%2o z&((%rUCTJ(vu7D~2gAubtAk;%fg&i0B)GiJio=3+om+i_hUF6wz1F@fU?CCZaAaf?Om5k^Pz~Kv7TA z)6)aDV;}=LGBX}KO-jsK^m6{!61D_y{Qdj-{8F@Sw`t5bL2kqPC?VrCCGS1p!*hgP0(C-pA6miu-4NE7wI48~bxwv({1r2J4~F48s|zQ(0|ihLghk)E ze^@ZyfkRD2yYCJ1qK(#ub7wEnBS{5s@6pDFW-#Peiv4awC3nT6HzTsv)g}AV-VXna zM?er59UXmqQcGAl%A7v6D0eX>Jh9S7Nnt`{V`3|EvH8gHnakNyf{S21g8(tFEw}n0 z7)g#1f|FX8xwYtm6$P2au5 z?!9-%$lwgrBFxxauC1+sbO+6g%Er?iArRI2wBODAd8?TCcABq7nV?o-E;IvL+MKYrw}(|++dYWAy484iEGXbaJ@kkf`3BK*lFT;aSES51Pv|T=wBO_X zuy=jp^SiFFVZWXH`lIR+$)0o!o(R>?>|-!jX8yELvsB$kylLUhoiLMcn;F0FG9gRn z)2z8wR#j1s4Q2 zU$Sk(_Yw-H%l=uAvEq9ABS>BXL-|$5fY$z7P}#J2Hx3C_FC9B7&-6@o!TNxzxe+n? z1W_61m_0Y*;$-eoZuSBaL5py{xmjA7QBcTk0UV5dnoi;Nk`h@Sy{UkZMd-P5d7Xzl#UZgnPH#2H$@)zyb}F zyLwET?&;@D=uD!o+HiDqR5Y6u)1ebSqX>hAzctmEK2QLZ^~|7*!3;jLr76=SV=)0{ z2^GN2{%V+%1Ye0Z!JQfNfmmNSR#d|hp^g(a7Z+DlQqr`Ib~L%ea&ICXV{=Ymw00#w zKR=y8Gag&i+cRL3r$)r6@kGP9C@5MNIkpZn|3qaNkn`y>WOo&Wgr@mv7c`+A7)){A z(?+xloX~g{O+%)~ zSAezJzQ@q_eF8Gp0ZjAwwf%WV;>Fidqt;c}%}KB!{7QuBu&rhsdlv`~xl*A4I}Qnn zb^Ly=bwO+z0#_r@(*!lR+>O4(V-0jyJmkV~R#EAo`=ngI2y!1$QnqD3Sk=FI+cqNB z;F7FN8i`~72r@P{W^Q32>gxI_Ib1F%8v&PgwGsEQJ+sjj=PQfF=enD*wz4{ut&`O< zE&b;X`FO$g4fIK!fXmcJLw~Z@f&1XGCEhX^=k&H|Q1u@Zh8o?R${kS`0N%;R?1vD> zmuaLfNqi257w|23T{du*fJ$|`^(#cXXAs_{9QcV^bQ5q_f@~vz;mHR{(g4s!15!8V zZdK%M0FQQQXirBCQs25&!$=fuWMZvsL{c=Fm<+(1W1MwBz4Zg0+330jK+a zUg%*c4A>rNUdNiTadFN9-oL(uPc}GP<=d>dJ8n*LdV<8qmFd#X0cIv9iY3?QPY|S+ z#=9bbuow}yY!AtD72a*Vg^(qJ?_Cf2c=v$XaGri$#*4_a1?8QNWwQ-lY%;qxb+dtp z>AADQBlory5%-dAM2ZMrAPy3E{XMzD%~Ova;2TK4Z@z#v(^Axrx};dXopxPy(4KNc)& zYsZGEh`!tg6b$;-O?k`W|rX+jx%Du<05;Lm|}mjTAmd0~rp>kEU#6z{>EGd2GIb#6k|2 zZEb)%TiW7TUs{ucL``#qQ74Gu_19Kxbwt11c4>JA@;3y1%e}U&=%R&KS?>WdZtqQe zB;PumB_0Zr&U}bhQeD!f=7u0lGQ|wV)RLeR+&1vBBI>r`@KHjUR*BZoHJp-K-aldY zf2cA7O7mPrNlEGRK>k)$VBl>dc+$fS4L=%P3j-hxPybx+*1wHwa0?JT1cwB7cXtWy3>sVqcZUQC?h@SHHMj*E+}&mHcXICMf9~@Q z-nDwx>Qysc-BrE!Z|{9oO@y+d6dDQ<3KSF+nvAr#Dijn<4ipr0HWC7)#UE@$4h02= z4iFPlwh@yObFg)AQu}6XYA$7NZ|(#zRh1Hjg5r*e(a^X0pn)rx-crZ#aUy80s3;Nr zmE%Xft?G2}^1-Wlo!tuKciVcA_}?e1nSf7h+s_36Ize0!%$|~s?;CHrJv0>7Wv5Y0 zdG*S9a6z=-sYj{Y83N?v7Ph*!@69$Hqbm=48Rx$HYtCnDsPWB=y2)$QFpNZ%OuMsN zbwhjo{k$$cz$rA~6ca;i5`EGqXyWbOuI1Bn^1-!*yQcd$%i~IADd_Okki~ND5y~xd zs8_s!T77>wk*8tg1rsoGKc8&|`4)Cx1C-YLER2iV$)5?V;f4~7w7;TX`$6G|`&4&d z;SilKK(YKBB^7j(qY}S4%hD97W;=qO{2C=zZTdk$N^y0cfw=3i&37sEPRW~LnAsXT zD=y(x%z(N9%s2BE0P-ajlzv-#h!e`CV85w`cl(C}m(pKc)7=ckb3ZLH*MmGZ7V1Q>#mH^&` zDV{=$ND;=fsO>8(&0@iRtY{M_{D9l3@d=Xk3eU4WfScxe<%BXswdcwmm2e1xF^{21n;vE zj(9vd2Ea$xD8Cqm=)fxXpwKE8{Ac52y_fFc6{<7mzR0l1BnE*$P=4R}Oh}PWo=Eds%`Dn%npYN`V$_J(Us%6mkY*FdG5eS%3b55dw_oa7K+#OFkV(VVxGq0W zhePubhHMlH*y7QKWQm~rymS9sDADHkeInT>zwNah!OaQhY^Q9;b^l@g4Q3}pCqqXv z=WHqKInQ%;o3pC?8k9Xiipom1=+{Liep<5-f!@AeGdZOLywG4|V-_zrt}>h$0{u3G zp=t-SGGMtsL8gR+EMhaXh3FtL)uYf-|wAm6O<}edi;00 z-8r!?E$_0x&?o>T!`c2khxc>z8^=K&(O_q@z-|BkUQ?EfS`g9n)J-v7VuVLrbp_+5v zVBe@cPzOxsM?DIf(`>f!9mWTAs-^h=dYH){J$2MoE+HycMhHX z_e;QPc`p={FqDkAh`I;#NhZ9%-k;mI$#S`s)m0pro~SlF26z;ax5czz(-q5JU(_X&ah6=9?S zb#Y<1e~+91qyqLSR~JGoOz3})Z*U)lU8%zTk^XzI(?TOpAq-SRMf^{rwEq$5|6XRL z41=A67O6{s^FMvXL;VpThoSuMF_i;1Lv&;9`mHA0?{&$*V-r4|*Y#J0Zqr04I*GOE zV06u_BHuVnfG~+(?iT%gxsIvbay?yLU7npex|KhHq2Eh`!1WlL+jb1s*J8y?YoCFm z$8IlBlY;|+zKcrCaqNDuMw#YPMbnz~y5C!e>%mk{W!o9A_essrNt#V%O_qT7pqfO| zkotnq`Hn~2b!^q>5F(k+)ZRpnGqL)QzZ)4TI~e5SA3phmmXlKj}( z*Ow=$yTge8o0X5O(1tp~kb3}$1-$B4f%mJ8j@y!QN=i+B&)Z~oZR;-+v3zITpmtB^ z%sOUz`r1BpzOe|(s;kIG&nKeCgx=lDAu@N9_D>73O&Ba)&$S)*Yu+5Ct&&4oz`Lcp zDKQM4*&>C^jU9q_cVWHtjk}N`)ds*KYU(Pq4{7L5qmy2owVe|Un7i(7#|gRFzCNwL zE%TkXoBH@{MbMo5Dyys&2|`#Rw9GK3rl$U*k^l04FQIxC87%9c<@frKoStqIh0jzQ zC-^ul2;P9DX}9luu*eT@KJR=w`e0>Xko9uz_r{>+AORZrun|NMF@yN^23_DrIUlL* zxU%hJBM76B%op4fibkwy6PfM%SZcReoxAL{B~ZB>Npt`ed1L7NFz`~Y-!`vVsRuwL z^~e!;d%m7XTM-_gGXFm-GzvooOZrcwb4?;oI#2KneQmTQJp87qnf$Ve;a43?!p9q> zY$kR1y|-61{j+f(lXf+^o7T>4BpyRFWpG|H*@?ksOB4Z%8_PnKp#v%bbA4c7pc5#M z;CmjtHN<=-tcSNvM`sGKe3xCv;zM>p zT2-RH&~$WWw>H|o-}SIZybab;-?Foj*tbsq$0Fm9HiA|OsD*@tetiFqL-fT&97!|V z$u1O3+k~d}J@@3~1hfBL3Nc!bA$u_3dDw9@nF*D|u^-FcP*yh5d&jZs^|nf^om5=G zjJW9>E;lp6}%NCmP+I{B*Gs|ZcX`= zpMCLOzAW@^&HEg41x@cQoy&nVu*zuXGuW@yiyWN_v^Yd6;PnGAB!WnS8~EO3NPUi_ z3L`;QHv8syfu(-Iz&qp)9|onSbuwM0-+~tO$2mRdB*@Ahc8crf&t;cEl*OLTH_AJ zAyRMK9S_nV7CL+Hld8yAko!7twF4V?;<=x>f8>4Iut1qk(Yo4Lob9`8R~GBN)1OMy zj%d6TxAgUu`Z;6umK<~RygzwT@M-KcOsN!PNJ3SWxKw8u#yvqQ*DTijgl<^WF1GSi z^vgREQPa&qtT}XJ_V|osO{hKYf|}}P#d%WVD6Xj@0p~{iKjPcH0B5ChrO<<0@pNH5 zQxJg@fy?=PQC>n`JpkNLX;#+jsl{Hl%m#{fc-=Z}CGKZ@>qVx}Ru;Q(bO{V~?V*_l zVhTN-)KO>?i&bZ|E+EAs_atgym|Iwc8a>cg*ge5Y z;Cea<=`pN0+n34vQ$jKJUv|E|K8eXCGa~n#_97e0ueMzVvy|f;;X0WOxEXxwfj@h1 z5C&76r#kI;@x{$_f`!)LvY()f-y`I7Q@i@rquG0ZKyW?@%Djt*nZUp!w@utN+GFZ! zcT{Y(%^l;k5oCYnyGg)X6Juf2+ zRlytghn)Jp54(!~UQZ0((E_n1$>qbz1Ku5wdFQ(`5WtP?di+zhGV0Ody)P;BcP2BR zoy0~z%kf8_b=(`=?`{r}`MK6ggC9P~%KnYZXy0Ap(4J$lr!R>sscjsjeR(ol&XFu9H8R5zpYxJYBoU z8`1FBhmEV*iJD&ah2A1;qkKh$6z*_LK6}-XcqdZ-WvY@G5+;ziZh{u+We@~#2O6Gat>UxMlZ4EeZ)Im9T zL!z*x$#hZux$U+ivEB*Pzu^y>^f3Ig7(ln+ zk9jjnILRLF*8I__6Yn%1o#-+)Ot4yf6dv)t9j*l=*7Y7s2N963TC(mQ!(!EKwr#; zG0)9+5(0EDR$cZbI0qlh?pNJe+&@a7GuBlaR-3dsZg8aLC&A#p0+~Ob#EYTRxu3<_ zhMP=Xc-XUE_I9?3D9T@v=q^5YoR{a+2TQ)`dG0196wQ4!_LX?}yqRv5y2dGQCwX*}<#M|G zr&*{m9{yn}O=nhBg`O%Fb^u|329*pzQed9kn>s%|t0W|VJ#H{-Ge~NP#Rez21PMN; ztnlCTFod4J1<8frbk*!H+;G6tQf=~N)z{CaDKd~gsQAZ{39W@ z{$@R@n4j@5wf1u3BbjldaLIAa+Rj?ba4d0?r)N+3vjE9ffZQpwSDB(fkVvfyOEsG`^#rD#Z$VcV9;1U8`vHFH2x`IUn@T~-i`I#Kl0DTwZ=Uw#Y$B~n& zQG(}Q5gU%7ESS(_&B~m9(I`$-ro47bu$o5c0ryuR9XHPay3k-aAL28^DzM*sw9dEo z%%er?PwetZzIMTGN?xj`hR&8TyY(FHeMktPJP#F~%Ex&%<=65Jnhr$R3M4Ut+*otIRf=ejec$j&%x5mKVdH~5KSBvK5$s;XJigckb0ft3;J1fKztH!k z`qP{Ux<)E2l>0C*X8}zj z&_n|V*!!Uv!CN64CYXUjwnz-9A*nnY;O#hftPB3CJi%|?w#Jy){nkh@EdA_inCHyH zA*HDs$3)&9NV9Lu=D0(&S=bJk*lJP|1lr`Qscin?rzT#EYh)j0SvtYJBqNR+K*u2x z_u%&)nmVN?+$>ZujOPhzH82Tf-)|+G=nT#hBJ;97BSioj7h@xR+l3j6na5%)s}IZT9j%F9TjoL!pyBo(9PaBG2ruEP>k0?7=LN z_T?L8$7c*ItD2B07cDCOryvld5k^g{8p(8DJETmY^9ScjI`*%mSF+F#%GX|cgEl;U_sZ$RG17M-Z)2dYCI`ejKK=`ZqMx=rb%jb)qw zLG7*dPw{tmQbMZ!tTfaiRL46QAtczxQs_~5IV%B&3Iwhvw^6;p31jkTc>455VmH2m z#ZZOsi;XTG2kHe3)csB_4N$092+U7j7Z>>Gg>@#)Q}po(3GN!yiWPGY_%o51Q5`?D z#I@)%FeH)O4-z{xJO7?wsD5p=VP#UYjY#o6@x;wp)7H2-Kn5!LOOo}m5C%E7Y%Wkq*>w6lEz5`}5AF_H{_)r@ zWVl5iA6jtb=aMiHf*U1MVQKS_*{b2)!@LPo*pKbb?`eAuy;-~#L8LFk2PTRFY*51t zcy`-@ir<|z-b-4E)q935fD?M;-qGfE)D1nv(|;Nx|jL(s6W$LSW?YM*?_lRQj(D+|4La| zKJ)!hU-*J)o9FsfR=$#hL}4RPOi|_DH^!Gt!jNXIQ8GJ!|DV_WO0}U2eIzu;;ow*g zRq?Qd=7%tV3{*Q5B0RocxTu)M`^OO>5eqxX-(lu6HN9}dsNR{3WEfjo8nnQL3NHS? zq@d)7Kb%#emD?-2a$kV~5Yq*#2ek zFGLXT#lBD=oeHKd3H`UxA89Te(rwJQL!*E1gc-1m9S>E(B=T>E5T>9^1wjrRy@f&l zeQ3yYTgwT<)HlMpcK% zhEyRSRF-ySd+&DQRNuo@rg~}M)D4^2>&%XBO_w22RCI5v#kP};)4F>2D3!%$?oI$$l z$fB(d`%DO>a2w}X(1v79b~gvpZcnF8AV>;fpQ}7f;&eGcz}Gbf8QCnYq!QmL`?>l( z7{WV1q~0f+KB7vzhaaCHGY!E7##mUg+0&3Bq(Ib9y(*6;+h=ACc&~pvQyA4G6ZbDS zB8MT5-{V5b|^^Lj>(rNwSP(>-hY(d)RPiFcH)c>Y06 z<8Z!0SEH>#>0eAn1hErjV)d8#d2=3_ESUoHT|L5ADnp5Z`yzd7N zixkq!flqf>m%oG1`A(|Cp_piCtN#)bUbmBj@)85;($Z45~>Y3=#ff6 z$Z$9z>02A5!Wg~r=?g`h&yzqM9UqUe#ejpEuhi$ucc8tW<@!E*xiXQM+(-foPk+w^ znCVwlZSCt&*LBtQf&$c88iu>UvcI@DfsEEZSvs!H{Fe5CT~mQ z&Ef3OLB7oBK{yuGO5^Tm3aB11d(wJb$(Ge*{fEBEZ)Z5c{!NMuh%GG zr_Y+V(beoHt*pJ6{~g*T)sqt)R|A*WF{RKA1@1pG)c(7f>0 z)z;cRgD;u$GN0aOxb$O5c@(z|5j(U`|1A;tAl6&~m@Sgb9Sy#U4!6vWqs>2oP^5E% zYF8uee#hRB@&gs!$){v!Hc75ha_4*eDW!zuRv z3YIrS?p!C;IsVlJej>~`NqNiv~}^v97{#qA~yC0Hj}SMa9^s(xOr14sVE+CMP5q z0|1?1aLJEdh^l9TcbrCjnL|QC&PLHva_^j%T3yTVaB;QEG%Joeh?N9xf2fE-A_LzM zJua#uA?e5Z!Tl{ z!5urdKdj|!Y!bjk!V9ICy~nsR?DT2TeOx#<#P0PWZgGpMTLyBCW_|rDTq0=58MVp)p6nMR_v*~A0I>hkH8ZzKGf4CAU z(f=D}Or-Eg@FY{ACu&{2dYy12{6)Lj1V3tp{%i?%NgZW18zjV^y*p|x`j7K=E7D+^ zp{l}uIYrVbY38;_H-I?J9LHZz`}FJa@3WFeAj64SkX0C%vb@#Kb?UWEEC`^zBQ@#4 zW1s{gRfze)K+6F@%(V)C%lD%&|G@a8urg~rh(`q!P+fe)qzxR zZ(5U;<9i&m%mCv{wSfvv)Z4CvRpfPbeNE*fCo3Bb%5RczdptmX>LKg858CeQ^@aP) zvHw>kRP>0%RUnB-PY!Cs#cBMo${l+kB**wzI({A<9DK;k3d+ zUH|J{+LrK(tVZ8_1-*{tP)@s}#?ynU#uA3Ag2goWCS7DMT)eMr>e?wU%hPv%cKAD4 z5;xg`{k*?#3T(ZMTZcb|w{zdo^QHK+z|mq|hHl1bd0b!6c%?T@D#fi4_ng06h@(Gk zx&9YF6Bh@jbXa&rE;=*@*GQiM50OIF=BC$eSg<&usy}3|-u;8EUesa!^C2_Pp z{UGu{01m+tJI%Z$w$-5Mr|}VqJD6INy{)RUXL{|(BePkJmFlB15~3A-S;M#s$PPoB zj;pU{U-whwc+S+k*SZOTs(7+5lZ1G~ptupxIAN8?Jxd`BslfcADtwuAIRj^CceIT` zbE%nZzq?h-q^;f>K;w2~h4Fe*=Q=!5i~BsFhl;xWXV!8V*cWDU#3%cZRP}4E$z@`s zaR78xA>*}3uM3B2^9k0*sBkq9aYzP!zdRWQT z=;{Rn<91VqJ$cGKoo$g*<_Ui`y69$&i&al{r(Tb$&qJ|f5ef97XI{kEg(Q7feUI?9 z&0$fQuhJPYz1pn;&$usDvx2dhS#*OqN2oOzQfF*akV7wf41N{B3y_rY|2-2WH$VeD z#hV(lP{piov4C-)75aNuNWRa-6{S4fxMc}$Ui_=l0xq8R{@lrM&5a~RFMLUBEp#R3 zd4)D$fV-Yc+{7-(-=u1xO$I03XUg{uJc)`0Pga}H=jN}Cj!1O6+Uk0;>BaOnWFU(P z!>}8NilSjbW0hdQy!#*Zk~bT@!}tD|?gZ&hUyVu78yo(N-S?C06rg z*eh_9g78mX2(Z%v4JM|SzP=i63(GQNxuFgidHA5Gt%PX2{E{pJOO>#{OHa4@4ewbz zNIA<+E-0XODl`nAsc{vve)hwuvJ4c=@q+H<;BE4JE{^=R4%$r4Mj$+XZ%V?CiA<)c zdK00YNFr>#=5CZM&k>l54m66}By$U$J3K8dmy*T^e-@;JsvMS3nHWfNw5S4O7Z1O2 z-WRr%G;67iq|%td+f}aQ0D^^}d*rm61LgIhJxN#^!K$Sn7|(NO>)zosG-y8zvVfly zG?%u)GGLu^iaDiyKKH1jij5XnUay+gvfLd=>G-i$eKI<7e12J;cZ;2)(LK!!@yH$W z?p<2L0a;;&E7WqjA{LNYvi|tcF?Eou1({RMi}NKmDAcGBcDb=(O~Gm9tlBF2P02!Q zXXu%5RI`z>!HrcoJmIi{wJ}Qdyw%HA8|EQS&?Mlzv(`uvz0-<3s5_Y{`K>C2sl&$I zvSEV%4Mv-`E!jr>vOl6)R8R!bsPBlDyC}+h-9t`~vh<+Coe@0CFBg!MN&O?uB7{ZI z;b)40K?OB?vvm?7;~_NMv?q0;xg5h!A%ZKOOE{}(%Z)Z>saP%lH z2K=eRp?Z6p44THi`{|y2v%3(2Mpk}{%k_e2V7xzEYY)uh$XWiW>&KeOAP!5Yd79-0 zeGr^2U>h(qFUQh5$CZr6jF;hq-A@2#YT{&s)N>`tU)w~uy{xOOg z>ez2nC_5G1EbAE~Wp+d<7%7yM0nIpx6(R&pf)H%sD}98jfb_gJx~b zYM)xmXbOwc#r$KNXOH=4`N6dk`DaunyB%6N63%v?Fe7tkWPLHrGzcGj>-!YmgV|W{ z*%hxmnxa_|?gBnfzO>uvv^=r;7s7I55EL5X7sp6};Km$qVIcBl#2cuVsJWrh}ZjObBu+k7fdslGD7Yn&>Ifl4=_t6ocHG_V3xGivD^7(l@~ zfVH%n+lf4$E#0BLYUj@3=SI5BtgM_3oKIUAJdD?kiLv zEu28kBZ@p-1WOHVvX#&<mQL>)X-{8ok<;AGRH7fTmpTDN#0l^e-cDaS5 zuF-|)B$`Rh%%$4iRhq8?ZtubC;q$clQE+}^C) zwCnFX=gZYB8L|ZNT+MWNCu9zn>Xxrv{DuCyg7eDU-?9j+#2F^q`N8UswJzFQuOg=7 zQ-ht_A;%Rty5C|mmKT*-pK-ugfOcsVD>8l$gI{U@UYTlifTK*Nk%F9$eE!{OH#kZ)y~Ww@ zbgfn7Wa})F9S0X{Z#gc?p5<8Tx5kkMd%H0EeX#Q0GRYW|vt3QH0@SKKdPU}SfS3IZ z@rPrgY@c^0kX$FjI9b+D(LTStXH0!oji15q^^v>vtu$zwy<40G=O;cx9Ok=U^dGVR zOiO%sR|;cYOZWo>h{ ztOc6|aw}R}SF=3#A{i9*>JNaunC<8aJyeyXUYj{Lb9(uG%M91bLMHvKqE%RV0d=B* zQ;unG`O`n6tSntKsnKf{7VO`Yd4y!o7ehV9+O|32taRs z-tQusj5c3(efpxwPIFcIqLJ@y)KI4FziyA<>ecy2sH=!pvl5Bp%#znALm@V^3Ugj5 zn3T%yEfj#q`1kn<%D2(2{SC*EiIijlbpbHBM#TVH(EsSp1^Au4vWB)-$Z0CqCg zeqm7e?`Dh+aMs@df1Uxt`UrSB9e#t4yoA~Aby1hEpA>aR+SAa$3ebk2u^RE4uYbA1 zQ9`#CQV!2cn@s9gbkvGscVa*o`6iHmSE0b=@kvQY*IQo5IjPVgf&O5kMQEu(Tl2;n zu1P+~sDPHg$P^KDyFF>k7HrJPs7@Rib<)l9X|W4ZnYT6C+H>`e3?E**prGR}6YbkC zn`BbprBMa;~v;c`zDYU@My)SxfeXpOG?pm962y^YF0!YMu%D*9om%^pp&kui9c+W(*!5l$Wt8`cU+z?B zD)s({V18-!m8Jz&Wi`w4q7{UxaHi#INJ*S>0Gig+@-i9}gBF3dC3$hfu2|uZky9>u=a6h(R|rg5TYyGt zOXt@zPVLXtjQqJn)=reI9icT2gR?(IqNCNZiYxf8*;_T|pgRKg^1sw{@!P4q0ryq2A zwfqKYbs?s-*3D^?0u;f?6A#l zbUj{JB!2z%3>a2@UggqcC4fPFW>w%Xp3vGXO}0B zIxRmiKo?PH%pO#QEgj-O-P!+x;bMW2Ye1o4WFwnf*82V|`FbP&4_O3n=0M#em1{6k zzXXIrFw65wLkKG&(pV_R`6WE69hDEBd*28nZWu;y;sSJM+#J9rf&Uq$oc($u-1s7n zQNzBFWc_7!(iV2Y28KczCg9uYn9hXIWi%-sVzzSg^cA80a)J3`tui-v5Qt}6X4hRf zL(U~@p)O1zBzs>JNmtQbEhlregV^WOzVNdxWUutDcQ54~Nzpza-|SZbsrJ%-0M;hm z5%jo|t#nk;-F8t$b#QMJ%ybQfkVYvO0?qr)(TLIqo&OD<;%-%rUW-QJa^nnjSQYH%^oJ^WV}3k2k_CMi zWj+g|cb&D6{VL1!bYlBRo}Mzk8*b#)RemG%7vOJTSH^)M{$lsc`OHE`t%AZ2>=PNw>$K|L;#R0+} zsP`0~^I4&nlSGJ&6*k2`mF1P3hG`h=i4H5v#{t`+fBbx+U~1^QQKn0e>_>3PN~TuWzW{2Kyd2>RJlSHp|k{)iiejs zjw-#YSwHKda=7y^Anld+8s~eFk82TvUSq`WK}n3lKe%2C$^6<2$pR0Z={r(c;7?R9 z=SnqU)@2ap#UD{FN&0zD>GW0+>9R^N0O{{EesGg^mYB;=akGYhyM*ZLz#m8a%28=x z{rg;aUXGU=Cz}1&jLrYRjzLB_ooi*k-##jSjg(9=uWi$4|6dx5LoybEbo9}yPB@>K{Vh&truB*^i5FT6VxEBQ(ho+ou zI4io^j0C2-fox7PW)@CDkrkAazGRAKwLQ}SyQPi%7d4{KFUp+#2f{l7(acX&3aYQuMK!6N{hGY9p1=`;pGAqn|FWC2tVvxm`|87-vuC^VW+@si@oM|Dum@USGp( zdyZ(DT7EcRb#JILrYPK4gST3gl+eCOcJY2-|oYEWk+ps zgtTt@tn?tW(=Kfnb}xK5qu0}IJ$4?J5jvm8h*oOG%%$$11LvVbXM|IB8|+5CY2J~X^zUshgX%9% z+9I>IXrR!#-72pBXp;NBNfdizd|we=|L9fGDd4=XEnJ3DfmhCTLN5H z2t@s0F>@shfdDsfLIP^xXxv)s?|!>4mg2{K?X=ayd4Kp=!mkT5-k zQ!%-w=#PHTg}Kzd+9lBbjZ7let;VT|Axqbgn!=;ZB2F#?v7S%Ag?|xK##_NfHVXTM z*1@+FQ6RP@8BHhon5FzaRqm?j$kD<`ueQi!8XXN|G3#d1^%SYfaWDqLQb z4y#>S)Eql=9cwFeBX91Dx2+K8kCiBM!8WN(k~b9&*;2&a!6rHgd_J zx+ntEWP;iD&(sFN zbc_C2BcH+kQq0HHywG7(Q6%4s=`godjCD}p9m#2hiua;~p|7(QmCZ2 zF4ah=7Qs72$|@h}BL-wOXopblRvZpHQuus(%z_^Qgv&PBZKZ)UYN^z`Y98!r)X|jG zBYJZ#KUj;NaNP95J!xV5TUL?#jS%b96cgT1rpw^S9Ev zB5gX!fVKf}jO+IL5NaMHh_G*N=$whC1cs5*>aC5?h@6p(juaG~l*pNelzVpdVpXvz z6i{L#zvxmkbt5qJe5~qutH%sF7NKDj+R|eBts~@w0u;OV{Xm-*OpoWn61;`)pe47m zBd7&YjU8< z)tG8VU4(S&)iQR53DY{HgoObu4|}r1MSbOdh_J2#CozvJ1ndptoA7qJGQNC!WMj9f zrdu0pf+zR0cbPxm+y>2d= zI`3!azJ0Re>p*2|^z4x4S39UPsL&8ZH`#zxr6B76>{DQb*hek@&94OP)GH_-oQ3Xt zGM<)eE=y48`M6sP(RVu)d-E7vg^Jekdby6cDh)io+nop9#-$-7i@fX|I(?kJG+wM^ zb~tHWzVOLg=|-gl=>RZM@<23Rj{C&V<9VBVO|v{BeV8cAs4ey#(@CTDX7g@-ef2c@ z64)7)mvC~2%9n{8;Izr=0kMa zlzFaEdw)Pn+e1p$%4TbwNJcTuczWnEF)5jQYLX zFUp0#?y~}^16}AvzDUCUm{`HXq;>-UJu!zxq#N=#?Hm)ZCw#Xx`>Cq2SW|9VQB7lFt2*I_Bid2CS26fTA7x%y-Wg=ct2P( ze2If_DLLlgYMs#lP6hQcQnvGGc73_;o(=JZQFJeW@?*q#5a6E`wRm{-d*OVV_%8I` zx|3ekK}G@3>hNFSD5&CMy3|ysQciO$%EBsfaz);LUCB~HADnr&uJ^M`kj)5$?tg|9 zQ?0&pRfK&&T>@yQKWzyvC8O9-g1C^&@K*zaA8`GSmG4QVDgB<}k5W25M1&t1Vj}g^ zIaMM~sz$@@T~mm+L|cJMTtR++8e3J09&62+p@m*#o+zoH zDl+6%T-A$XnR#9$!O^|15rwkO#^di=TNg}02;lfe%K}cwQeMV$MaN=k*?6CE*K;yE;^mUcL>(jjHXC7{h<)VW0*s2n z?w^xZ?~mkC2U!sE<1+;@D2ZN^c-&V_uh+e18@nZPkg@A9-q*F2)nO#V@5V*`U6vBZ zfsm@A-2IqD;dF{{02p7hq$PYRG@z*Y^FUhnYLz~d-X9|BVT6+#Q&fD=>V*SiAoo$s z55biCBU6kCLo1T_sKoi>hUz1I4!cksT>!3s(vK7ZmWFiW5XOLbQ+?Am_awId(Ym#{VZrNG+~u461ym;cz_8NtDrJbU?eZh`L3OT z+~}=k60Z@{84VmAvVa4_HMeayLea=dLQA`&7rMC#d|Pzty4AJygUd-SW2Ne(-ss)_ z2}@h#`u%)7So>s2^=|%KvBaE>8cQX~s7BmsK`4EaG<0>cGgk-of<&be- zwb)d7btpgVUVAfVXZV{1pmHvRwp8l>K7 z$I)yiseBuFsL9rf^~mh_S-vwz5{+-PY3SJZtM@22)^cZth=n`!D8kU~-(N-aNDE5~ z(XKxCSurWDaq!%IAin5=Cs~ake8LzHv#uR3W_QRq8EcyM$&>Ig7Tn$_4nh2iana9^ zY8iC_V!6xgHy+xfq7!>WN$#IAkC7P<)V8GWN5Vi11fu@vu;MMn)MI`%Q)a!ra3xh99v)ZKD_7~@j7FwSTNO7>5aPZgu8uOpdo_xaDWGvl;io~>+wXBs z=StGCcXeD?X+k_eFudHqSBY%bW1ABu(NylNy3S$!cLylZljSi-HLbo zKKzq|<&el31}ZCP-5E zP5Ti>o}rN#xWvB3B73z#HfTz~fiX6rVk@C~jXzjd%_$pOsgF2BobgntUT#>20Y^r4 zr0DJaYHBKiwef>W0LXz^vldjF4pQ%l7IbbSkk(tFes?(z(ayH<=kdTgKb8N;jLYlT zoX>KJRHoxhYx=#Mx)-S!%~AiYsO=~7#L1P~-uJ3<7xsgW-@?}zNys+vVqj!KaXNMGKd0uI7Z6D`^64#ZMG@3mUnIj0 z$L>%=bcDz_c&$>?htn@|S1aeed4p&FirK858e_Fybd$*+B|7I>wTdkQw_kT0#(`S= zca;?A+DaF0_FPTJE9-SH;YZJTi#faVv$Dck(^_VaH_?~kp{YB(a8H(l8MV%mhrYii`UN^u|_WRnbh7~6K0;! zbQG6yk+}QpxneoAJg%rvRDRjpFn_vyPWNDmIjJv1nvw{q8VXel^T-FO?PbAd%2@ zNi?;}{_6U;g9~=iQT_`L3ODYlo9FT(rs>r;=DI4IF=sg$*HHtAaMkflu(mZ_r6=R7 ziVE2lH)gTrquYrWACZKRL>_KPeW@9@i@##Zobm_3^Ru6q_$OV{7gEaQi_aGe`j+i5 z`(eCfyY6}JQPw#Fkbe1_)24e{vR<$FHAmwUG&l5k}cV$Jn1x4fLtKWF=7__8^O zS?eO^ny9pw-p}Yxj>x#P=Ol8Jt1g@zojcQ7)X}KZqT3TON_JKG=?mtR%hKq2odtQxsRKH-!uiB?A!Wre}93%5!vealBv)Rk&=(&T}BBA)ZtCDa!X1eoviA zcCs24U&XahsiF%6&~{%R7@%?ISbwx{!AjPT&OA)SLO1RC0E=i=t6-OQ_&ffW1RcaD zrv@yyLPpx*hcnsqD zr~>aCQC-kKIy`l|#`1tyto{0myG&-@_q z>y|baF{?#*?Z=n|ju|vEr8Cy!s&k@_TRBSFf96}5~I8BGF)>RJu(Jo^&cz?SK zVydK7xlg2*B>u7aVYdMq2aa{*+`-IQ3lS?;6v-AO{&fs*ET6^cJ#GsAag<8jvNhBTi=jBh z-P5XwJf>3xd6zPry)>8Xq&$?8@MPy5ZvxhcgdZmU4&KJ!4?{Do4;|o&-&AhSQIyiF zcucC+mKVp7GF10{JDNSV3Fj*HGbfs=KF}M@wc6JVJQx;L$}S~MjSJ88I+UGGo9>DT zK0kZQ*_VDXxK1^6RAD&&_7TyZBWK7I@$6%zqw^S%mcXR$O!1Ee$a^7PPta?wMo%rf z`tz|eb}~q)QOD!QgjU3w+tAy4hT@&Bo7S;wyZWf5+$Y~LFseq_<@U=ni4T0Gerh$; zqL3n#=3~BH8ikbq;pY|Jv@*&BgAY=P&DBtU3&fB9D*E+~$(tjRMMyd?xv`p$!=tav z$4(>2(5E}ScKqBlLW=a`?nxI`ANQBEXS5#{zB3mZ?D*auYK#%JyclF}VW(U@&k8x@ z#Lyui{kq8436-SSpF%Vt!QKCfv~T|l)pWTAbkr%xU+H~=o3}SSrp7wrYelaBB7||$k#`iLV4a)>7deT;2MkVd+<#Z8& z<9oEUNYU6_5GHoWnLf`(}FBPmo(y73uS7HK?nPoM%vYu>A27 z^rXJZm!o~;7P3?Z*6|{WBU2Zu1f58=Rc^T)1y_d5vN{G8ue6cn0_^n+o5rT>e0t7jL?V+S%uqf zfeF9y@ewJXr!``}V%{M9iZxZe3y-jSZPr-79G5Kd@OfJe_SsuBXLXFqhmPOPp0u*I z*>hx2w%#%*XwWq!sKnXioztCajvE&Lq`d4qSiyCpN}%PESN=GMm_O)3#n=?Rveqq_SJ zk73)3a(N6~VO)_CE9!~&{5aT*zMNwvAwxM?EkfH{-sAWPU_$`50GCC*K_Zd!^tN3wnC3;*;(FLTx%d#tBEyRpbxDo-_F}$|AS->9ObEU=hzn0D zgWLmo1JyC2>$A=fbrQ}H@9bU|#`?**zDO)^Xo<3BG&P(Q45aZ~ykuLfi9LbJnkjAn zaOU@D|2n78%&+lgV=Hh7avw$ploqjjrR6?(5m1pBaZ{!-ZixfzU1_(j4vQ8EE*M(* zWq*3&Ye57vC-jG`uLk1}=ZqVg;q4Q>)hsZE0f!VK|rfNq<{?H()P2{4L(`?N!eH zh?%Xsxn$KMSUMJ z27XS2!AnaO@nI$r`|hV5-FOK3B;qqT^6#jdJJ=q;BW$>}1uXfDuY|M6z8=aI>P}X8 z_LHM|!#HmvWO%VVGhG>?7FaP;RM$w7Rly0pksxU~EVx1qf% zjJW!qwK{AQ!7J5A=~nOU)WuzbE|}e|UhFh3i2IyUW{f{C_%d$I%a$v1>5IlSZZyTG zxBliQ55aT*?|cy2**v?|nC#-^%utM;a{lNDyTtFrxdj#&b~)EeRC(u$Dm&#Sog4V! zISiHZ0o-O`w{fAn)@* z`yq+OE#;zF@QE!x=Z%k@f4C^g-Lvs!cP_=F?=*4qmk|z(i%@?kt|0>3$rs#&PJHUT zrq(fD6ujFLGwqf}%e)^Syd)BBth*@kc0Mr}LVHg%jI{2~{dC|tZF!*uk{x*~rnNMb zY;*ivrm2oOH2;e)>r<2alrvb5me=LvMeW!NvMklUxVB=`@CU>6;~#Fv5mq?KWD@kl39kCVdd);I zi*I1a-av_x7i}JsxGdV2724%z4V|$(;XYS#m`(SL>4#5{K7eCG?Jvm|a*}uQs{A+Y zmB#`jdx4yb?d@Yp#z=_Q2)m?LfpItW)1+mh&)bR|>tmxY<8VC{T29ACb)b+0p544! zrdLUF>~hxepYyPD?*8d`?9u!pB4VtViHs;O&YjV1FN@Yr96D+cg$zxD9?QKCc{eAY z7|BLyFEz_c6`#zfWkP?w-b9dI0&(e4?pN7i`b)m!)CBAXoD8}xrvaOn>r+rA!tbia zjWI$wgJW~(x8B7~dTIE4-X*+n9AR%FGKSami)%>c@XpX?ESqijOd22GyCD$>>?Qt8 z`ZIG%l6l*K$5~bUmJe)g$}EN>k*|eb5q63!}}SC>}O^P+(1%KRY*bKf~a+62|C0N}=cL z7jQ1lmj4iYf@<392DMx2A|Mz(`)1$DiL^;l+cV^7HYneysPa#?H3gYlIKR;czH(oP zzZL)2%2$t@V>@!zz38xmocpI9pSHDHvC_xRetxtf!hC?OM2aU)9HaX~R*94r%QZht zcCCd0sfeLrI4T z=gF@lg*SOni3iVqcKHP?)D1zTlpm{)w9@eNxXQwQ0z3sig|{X7@ioZe574l%Pc@j0Kyg;OAQdxcSbT)r)sJik}n^D%|X(;Dn~y2_h*p zE;`H_>U_x>#B1(Ti9UENk%3M~us8Tt;@+$G&yRs%vNW<(s%AsiMtnp?OZ8FTn$qmG z^naS-rykIA=D~9QG{W_}dFV$%^1$uX`L=ZHKMC~|_bgFZq9?EalZPG}0dD3?1M~ky zi~Tx|5Jf;7**p06y?-;{-Lxn{ra(S<9^@}AgvTA+q=^r>NtgZUEdNtQ5G+r%-I1&Q z&&hWG8Jr9v#j&hDjnMu7?)~2$J)T&Sw~vuLjkd=M03`K?kR>uQGW`>j$jQf(n`zWP z`OM8r_O6<_ip{>lxVZ+sPj-^^_w#e&Cax>`SZOq=0jL?P?3-!yoiB)qcdxIVXlZB; z)GiN0fO`NUDSS|MbvS1>I8DaxeEh`)_9A8F46?GiiZ?&<(|aE7S$pf=^5U$5(|meX*3|}) zbVCkyGK2*E)Zkyd02><{=uR2^PeG;`1?)jcV-*q-QaseE<7~g@QdrV9Xtd6Dd)v}) z*}Ri7YT{x&$+T)7QhTyHJIy)t#0+?WrT}xs)OfnGqC~TO$_<|Q30^6UY~}>uSlTMr z*_E7Zjdu63?{Q26=G@HfJ)PF!^rt?6iI&`xTD?&4mikCo%|5MM7d2dV0iw!FbLuX)2iZDk-`$*5-CZ@_m6exI33p5-5a}!3a4(YhZS*;?NFG;S znhM;gxH%slTwXeJq&=-yzq94JQ69l#u^{M_;|%}ob%vIM|XCjsot5MV+Q z?pc4Qtyq#1dyq4BAJXUR~>j=m+JKvTA%hH0lrX*MwVQrm}x;n$CYc1D$<8%QYFR6b2JMwAV z{Pm9-+dY$URojF(#fC*Mg0D-503cWeMr&@WTwfEQ;fiai`gJb=71tE-yHc@60p``3 z_p+>?tBhsNu4QL_P`%+%GW*oKgx@+f*m+Qe7r+aYPn*>Cs)h!Yza6@q1We#s&}4yn zBc!j(?s7A08d$3{D4k%|i~uack}PCQyg#@}gtg@y5P@nK@v#e>FON%P@KOO#=CrVEzMd3{Xgg zh~SB=r0{52g3{ouZZ1zM%@%p7-;={HcS;Kqt>yz*UyYvKQrI;3)it^jCrB4f);B|$ z5n@23-BmI5OGu63wOeZSJq2#@eKUpFSNcn^*2b{ejrARzm=1rjCT_5#81%$6n44GP zED!d)Z({&Tw!l&RrC^AND2;O)W6cH`i}h_MbrQeBaGGFHhb32v3zbJ1TU-D4ob!z# zK;U444k~F_H}cl~ylQnjk|UddkpMWuL^czjC9um(ZU^egnVFe~Y!XG?-rDUiY>1AX zSJNfGexHf;pYw(brkw7car(w&hLw8BZtVKvXm*6oyH?V4@b2`!&9{4$F?lg+1~v8gKCN=T$a%1B2eRfD5(RwE{nn9fL zO)J<}09~~Q6K2QtAhhr8Hr+a3SI+h47B9R9i4%cS;ZP$ctm>l12081NNe){yQGQL# zcZU|oqREQU$u}y|ydDt3uV0TWQ|6Jd5QYb9xMWpc!KPVnk41F4jA4xDZyWB{H)ji8 zlG@J~Z(ri0%BeGbg;yNhYSw4CbiAlGnyZ^EEiH9Qf(N+C3X`|x+TD>5Vl?U}tdvt2 z7tGsO*aZ+V1^)TAONM*Sktj`Tf1Vcu3RkL0&d)ujf*^XOaBnf=d($q%jp zlS%HJO?0uw;l$t`e`RYBKpf*8adLF+$JKs;C)ta+Gq03}+)7A?tcQY8{~r;!e2PIp zhwT`!#cwXR&Mc)T*hW45t~)ELj;m7DNp;+d>B3c>Uvc_B>lGSdfUIjWOpCVEm1^22 zm-~;JB+S<&`XcES(eoW2y5!C`sarvRcK{03d&Q09>FfWXu|fgRM6Wa;`;z=$Cj$5; zLwlUjgGm9Xul<0#k9rp}$QhZ6V~Xn^ zlda?4ZZCq;5nRIzqugHL9~atR5fM_{pDv!l!f#CCOCEPM-kWiZY%i zn90e<<=C{BYuidk2%fw)r<1zVv$pfb)z#G%g+&dtAj`${d#?IleV*s(2NgXUw-F{f z7@A-WI5_RfoeqBhXm7ea+13Rc_dsC$+`@VXe0g)ow)>ye5fH*7Qq=I64&Rift=K*D zox7*|^C^RH1kv1idkvD1TQ7hMN)w7<4#}gy+8-z0cpU1k3idZYJ}ei3I;+ z@Ge;iTFG@ah3j&I{0cDjjgT?3enbL-_m6v8{Y39*gIXh`-Wj0JE1fP54T46Y|MvDN zOebG**DEnvg~IX&Xsk^@cUpCr$&sbLznl39iUYX`rB2+)TsZ@5bbKrkaq$X(J0G(UReAf^yIAsu&})h99&$2 zDmahkjyDZDzH`4!1|t`vd8d(UA=!HK1&s|Ed_9%;vWi`;lfTsxuVSLx(kp@UXx z)AFmm#(BW+dtnIpW9hl0c?#29S3j}rIUSDmmXEnrVKhVqrZs{NTDI%zIJjSxO}zmZ zk-1Zv*JeDWGYXwdWx;gI@3=4hoHlRv6MamU0Z%YZ{qoYjbVj)(X%s>f?)4-H2sYc` zuEP7yq21?j&*&54y|T{Jgv2BzZEqTGPN$854D@k_KOWROc!KQJ{Vo7-hmB3f@?#S0 z*J5_rJmO5MS0CGAskq#nXiF@c+s@hRYTfIQ@oj*wwiaSs=ce}>)XmV>iX%yq`Vt1G zN_4G)gp3?O7OS~#i~NjRrJhk3LWI@8^2}-iP<@`yuOZI20eTtl+&A+yZEbBu9UYzT z%tg6w@fAzD(7I*UD(AOC!onr-@r2yAEq;D}@uLGkujl5Tzy^;%!TULY* z7oAq%ET010^qmn|$qJy8H!|q?Sj&9k0C+(-4rFq&pg~WI6&PSSy^Lbhr$xbd5ExHKY z$QQ#Hd*~3Fv#a%Rl6lLL`;{={V6j(!HWk1!_p#59ckp~dGw4_03{WD$zkubi2B6q? zqdOjQe0ILMI;#?8sHSizOZ=XAFz#yNvS;T7FKJ1yu80 z905irbb(jQZ}>Q2&WmR7}oC6(fVo3ZEi&JCXJ#Lx*d9W&>+#MBAb)!oi4VmS6_{rQ3V znb=u=Pg8M6ASQnrA{qb4w}nGYmai{=tn#P%4o2&~dRdokzfKV=BzEjO_+TCV2d*z- zD`6{#M|QF~vhU!tr%2C}-Razamc3AxWW2kg{aNXlshg==lUJL&=Gea(v%8h6db^c_yB50gPXh|ufvcJ4~zlarHDjW#63Z)PdhJ_;UE z^|wdBn2YL-W5G?|&&U3^B@8qFrdVT15#`q7Cz^qFm(Fc6#3Q1FX@`3OL0YPwK=zec zoacdUEU&(E&>&aVH<5`_gTk}kmq2?@4!u5%YAoM%5M%I|o8;2%BOGktwPuyTgh6=f z3U&X%vktSUmxp~JTLd}2f*HcUwc1bUi`u;;Lgk5KP&KgLwgcaybf7#gihVl!!P76;A%Kva&13Y+lGb6S5{WO zA<@<*`rTVsLpZb?d`9&Ir>IxuKO@(q>R(ljc1LmB=6z*f86G5Ylw~6t&;h_H`Td;k z?Iu`PJsW|9Nrn_CAE1*G71%%)(o-wnFxwTt_|x_QeXo z6Am`J>GZ|ZtjAjhzV-<|ReEK;HIjc+N$X+qV4%$(w;ODi?5d5YY#HNjp}$tcua6qs z4TZP-$02#?@DFtR6Y1ZUS92X>c6k#!WVbx!tyWTJINW4{8fAzY17%=1Ym_E|cVK>W zy3YI8JlubLN^80=hI1m5-V!xFGGgWUaQa88R=9N(^akLjGIf24`P&*2;|sHerti39 z9++14STYa0yWQcC`Mn1z{=VMRU|*gw=nWw0Q~*cQucg}K@uw+QS1lq}4WGY%=aGa( z;BicCtNT6FP%w(f7_K_vLJ$8w;e51l$Z!t!?@pk;)byCHc1190wE8ftFN*&o7Qgzp z1Ot}&lyA=IgDKUwAcCqk&hzZiAIZTeh6T&>UImN(`!*OIIZ)%SYvEx%f1lN0J%!ql z@cGX_wRp}06)P*j#P?eYF*YPzp~~4w=LG*e0bc~IC&AW<@>_hKeFZEiWvym+xKf9c zt?$^$@P?F7JJ65I$bPSbNraIq&sCSPM#g!i1FxCmHKj>hB<(O&jmgHln>~vu{Vc^< z-8sAE0E-q>7K%B`B`g>z>PjSS-hUhIM=TdevuN9tDlI>nUsM#uGVdfyC7DR)aygu&1&;kv;H{vcq3L|C&W=k3RUsQy_j`=p zBw=I89w9!)$*_aHf#fh}t(FM`$6#1jmq^STmGxi<0V6YNS$COP^ILbKan;#8uyeq^1y{5Y*@lfFR(ilQOp{0N1 zyu!q}-}Jx&lq%_(skYRFkUAlRrOsZoNI6$L`3*TOY~1a=4J>%pXhtTjf`~=@;=g0bq-^i)@=BWiIbQVc?a_432&#g zxK*=lR<53&4j7BbIy={&_dY^o$&z}ua(U`=#S%mCx}3{IV$tlQQtu0Qllj79%ffj% zle_%(M#l(S=C9a+OF{ise)IKr#SLW zIMCUU!Od@(uV24LESQ>78e|M!(f4IhJ?7`O0>USws=AXZV@sF2`*FJmH@MP!`hnCe zX|;3hQ2!5NOJjLCxd>Q~=0Mc7R2nrs^wqf%P4DoiD0T;}P_Z}uUS1Dr=;TrfmKvTWXfT0jAm#D*4ux<`2@NyQFfuiQ^ZS>~T%n+|AK<%@{d!Av4;^jd@R zV&OZ}Rl0EzJKb2WQxZMD*B6wV2TaK0kN{Esxmem#lLoxz5i8qYL^mrKb_HMl z-bVwN!#DZ;R$uV)Ulp~GO{+_=*!E`z5V6ZA+OOdmE+hh%RVT2r9V6c*u4j@AaCnrx z{UrnFNYQAE$|Nz2(##94(dz=B_)&9r!{_H)yCI7l6EbiGGOZ}s8E(23hahc^myH$1 z0hopzE1hB5x7Qc)f>*Ti(JlFC5<5=_Rb>3UejS6ZSg<_^HYxDyBIi3*1?Nm=W7U{y zSCOr;_-))~!O@?6DKukO%I$pdX=4pwJPQFd4fW2j8Ew)VC`o;~wvP$Hs-FhnyOsh3JMNUwLLB z5Mn>E2^FefTgnmSdVmA(F=S*63e7NpB2!@zvFB>r%^g3AV*ASf#yFm8*z6 z#%YwA_Y>wehcxnLC-^EU;W=u-6~$wJp%BKWRqFeJA0lIAXWnFNMD`9{*21^pA_%?0 z$C(fF&lve?zMJ>L*3T*Qx}bN7Q3CC?c(S6AO-4b%+QW3EgOfc|s_3|otu2cE)v_i3 z0}?lEw?k60%MR@t;Hq8$6`86>Vt1sf<^dC4SW!`tK_O(g4uQwAOIYXE*iRz!ul7;4 z3q6~mTWvO=t^FZYaNUTT*;%mO5bJ!pX)zGzLk#Jtfyj!8HAjCl_@&uaEWu3<qDR=+a@nkvFs6L{t(1DT zViudRy%`{=Gx)^}Z!PUT5xNxo8tiwaOH_wE2V2mFMFo)&ISOhzl0{A=9q@GJOj==( z?@<0{9a~YpC_a3_X0d@cglSUj-siKKQ%kABi1prCK*ZxTUg=m)L3Ckcm?BqGkA+1v zf6%IDVupfpzV5lRv}kvR-Jy9-v+gBZj2{$?J}fIt>_boCU*GGA^KEU!^Kjr$bhTdf zE?C1wD)6pn)nX9$Cy`R|d3eqe0msMhdGdaZ=^tRI6UZ7;_>hsCrylKRgRN1JAkyGo zso8-eTXQ;14dM!AIUVmLrF?hM-%m)TjmD|{^XzJMYWQ(Qk^4@Oe;|j*@jI|TJHjFG z?3_^Af;F4`3C476wA&FCKK;2AojN`ff1z55NM-DB_XC)B_AOSUhcmmJOn2XenFfwE zh41(FLmHr;N*a%Og8c+ceKR^scbYPHs78{c5}EWx5-N$%GyD*~?(PE2577;DXXRci zi|ADyE&(J_Su!Q}n$AKp6!bG?7@#mLymYhOBG9_^Ru(T-q~gMIHBizG{GwD9K|Na0 z1DjGSjv?}^MfxVy{fo!C&S1P;dts(~^iK_Th7ZFQWEEIC;&n_>1jX)R4*~=DD`Wdc zs8Lxb25Wl-$Q(gaPX%1blW7R+?)CB+#^h#Qib0RH=F9Tf;XUdRl;AUT!e9|galIbc zRIDq7PD*mYZ;jta!0)P1^FVFYP^C427J0^D+T(bRHXsp)L%a1%L-AhY3uSfLAJ>T4 z-*Fikg`(pV^acn+v*~{lAICdjxVLb^z|@ErYx#o_!j}28_NBj5mffanYw9hY#t(+Z z5yDNB*usDxaZMjcDDI~q7#xJ2Bf7KquNMHbj>^veYnEW+shY%vBn%&Q{jq55RDim- zj4F2W$AHK}#BhCEAn*+Rw??*L4h!F0m3 zbuu2Fa6IntI+3YLaMNfC_$HM`V|}7y z=E8Yp6NwsC`_Ck)JC6e1t2U}`o`x5l`c&1&RjD(E*FS~c0QX>2;36@U(PkXRFEWftp@md6F}W ze11lT!13Z~I=4|>@GFdiF5TH3?%3sNS+1!T+G*37o`O4LbRHJtDT@0lEvvF}a+Fz# z4!LxyH6OtB=5)?v@;i@}2n99ax;s#bMk#B{8wD>kT3%h<^aiFVCr4P!avAFe#>l`R z6moM}U2^Wrv>lZ+C-%l}|I;`L^e7`wl{$W^pup+gyy+9v9|z`LZvB>l)JdK|x_U#Ch)UYtpLOl}!eBqINlv%>l zEj!bZxKrc}ZuTh*O5UgQ?FX0Dn~h^F$U7;(x}sEvkBFG;x`!vf1jx$Oh91E{jHTvftNA6 zR?&{+w-oU-@xc&6pGaxS;QWyqR3J4bdX!y%oDguI|DK@`A&%6sGtJgr(vRbV=~Tospg+j;Pt?1pU@$2Xq`(v|_wHY}lt#9q%Z-}in{L~gmcQzUv_H1&$7UR%RD%an zRDY-#ROK7SjTlm4NKvCz((2daJMQ)HfW*2STivF*gZc`&z$4SiNxf|up4#!mv$UEF zYBV6Dx>^yRfB?&QXl#tCrkP4ov~Dw%`hXFwYMlHwBjv>GDo}WP>GagcC1!h_3LB|< z18cA(8=t?no^z>UsM74JPjWkXItsUvmhmUw@lnc&kIUNfbZpq|)#>h|yYJkh`86Wx z9bbqZ7*N#M6nwcoDQ%@9HpG!T+q|6YXxHUzV4%i3X)FB(`r?|In#!A-mxpEiL0Or$ z<`Lz;efiYBbE0QpP--KjgkA-oeCfFh4E+B0qN4sESAkDay*mrp_q&lo2f zK1wKjCij6#?Jylwvv57Ff0OmE#kwM%ys^>mYr62scXT|)pQAU&raqnlGoop7eXRf` zzr!BvJ$;5)B47UbMqAix0hz=4?F{gb{EN~*_`MGb4c)tIB80Zy)qXJ7Y-=K}Vvd?^ zdGYMGliP~+Q(+aVnw5D~*-O6pN5E6bZY(bTOVhsm#v|tV;l{8efnxc3?`^17IMgR5W~f$e0v7%Ycd_#FH_6_O9%G4 zH?aTgmzS&)7CQ z_+Lh$%ZI3tB-RRo-Idc=K=@ZDF*Yh(?*>}L&IEPN*CW^XiAx>?$XNYcX*EoI8q5d{ zGvFj#M*L6HNY56w6(}jkRj4ryuwK5?%Rg|1m1I}-3yS&JBvZ20@Vx2!xG_8w6o#)b z|GN*W`_2`sIV|^Y$diP%AM}JKqw2b<^>hb^h8C+)4PAsc843(O9FK0qKRY(INRxun z^M*xoqzZ>Ie^<&T8oS>weQ!6`0squmL|nvQ^~ek<(fFU;-;Efd)n+%mqt-O8;nj@{ z$i3d^DXlhJ49AANq9nVJLO_#Z6z+AX0Mv@au zUWbWy->b$G{l`!7fv1)#bS?9^!q7NkjGGZd-MZpD_mb$^^gSjLXM<2HiY3tX-Fo1F zol=cs`Rhor`|uP9ud$0F1@OQzx5#<5aa)v!J6*BstRzbY4fDt0_lEQ*3pH^pby{g- zPb(P03`EDUaD{;5bRYqWBx?7|KPP3AyjxWzL&#)*0_7Q}V`g3TMNws8URjT_4!Bqv z&1+SV)({6wu^C<#JAvSO#mC>dHigpsC*l)KW@x?6(Q%t6nw%kzB!T%*0F|{cT>9eC{UO_A;ug6N zZU6IR6Z08E7#Z6)cBEGK!gG4`POY-lp4`pSfoh)vP|XE_m@j~pI@bX;7}tSs0UMc_P)pMUO+#2@UYI1y~J8*^N>{a z>{p;D5sG_NzT2Y=^&DqyR-O-TnfuZHzi+g-J$Od)gt*7-y95OAOJL;Vn_ zAr7QXH0Nr`B?!M3<|#}@^Ya`!f~P4RS+)sP0?J}Pr14Z7vk-`j>jSvlp5FJvRJY&VDAR<%$V7o_ zlPOBkhTqx`u%Lkj^Lt|cF;5u4KJs6${QcxX>nS~^`lAmaOi=Pb8AQ=t{C$#+^At+F z`#b+{bqxx-7U)$wp_J->p173*LDpA{{-eO%cLzFKwRGkF-TpalgXNoWnQ3;|(PCLm z=QtEW6!6H%2!+TfkQb%nPcNdQ*M3kdc>^P)je+D=d^_1#MoDSwhmH_U*%&znLb{mc zH1cerlCp9^zxVv!?tBbTYG)xzN=o_t)zjSDi)IrjVQN}lqAbf9wXB}JqD>dv(* z_Yh5S;Zp~^*Yfvigi z`UVDDCx>(!T+rhx54O0JM85u=RS8$w{ml>2|2R(XAAgE-1)j|!)mnLce0&*y`7t4+7JVv;D2}Pq-mYB4^?Uo7epkpFrF~DX2rqPxSyEO>CNY3TMC%hc=&p zF_3+ib==l8JiGWo(*31ysr9z}psYWzmGniU^=mU!qkZuZLCk`ne4z@>{nhG*ep{bR z=8<(J$1pS2fJt3B=P~n3P${sS#f^y7jK_*QEdJP%zpI`nbN<~=b_>%zfDeF}gbpK( zHgHU}^@AHe)4XZQ9S33cZK4e7L_3YH{HdU5n*wPCg{WwSqUyIR!F)1n%L1n`_t62@ zM@e_#z{NdKD(`q>At}+@+j|Itla+x6w+iB*Bk#i>j^DEGT8PPa^&Wu|lij&;dHIP5 zyN!1cJZ7D*U!S~8SN8Ud4lZ%Mg&Hf2ygb`uYy=_B1rT%YtI2+wk6gnSZ|OR| z5Fb7!T$kl>m{Af6>C~6Z6o=lkmu_J0du*pQ3%%o>9_t8{Fz*VcNbA2^`$E9;Q zA=+~^y9Z%81wkMbYDW|-Fot9KzN+SJIKDk6^sBj0#~=Y9Y-`IP zhDlpQNtZ}XRM2&BTj1o5GD?NaApwV`3WmgK-_1Iq03yAef#J|~kdu|TRgB4b6LHP= zE@^MJwyMQRtV4pQw!u&RC?^YJy+4U@4MEvkjM=yf3?nHybVX5iwor8|e`C>cyOKqh zRl|z5-5fhKQ7#+TNG2QeryCwt5Tfu_D-(Jnuc*NQ^}z**bCxz~xL89wdO_;wCf4XN zVXI}j<3&hlk2M4?I|YI;^@g4@K~UGRBsoa$DK6~R_29xlfW%?sT^RAp(U&W|o1GF- zivhcEx2IK&isJ&C@ebHWpqh9Ta2jz8qHljQU)Gwdv$p_utr=RGnplRe_>xnZ2Rt-f z0e76Z6Cj4114IOlx#N#)TldFW)g%%PY?}s)V^@LcVvG7lIxfKqLg zMPlosiaxlCh#L)j-WfN&rjW48J;|Hfp>3O!_8E|u!icM4=7y8Mh4)%!_kR2h?(ja( zht$3?laUAnVIqR4OX#y0uQwAc9iDH4Sn@KptgEy=!vQ==5J?|N#BS57e%KfVgFnzd z&1aigQBhF}9A^9`TXmM}eXUaQ2Q1}T?kj2Bmrm#Viw9K~^PT>dYK=O%r50JTE-bP0v2+ZlW2LpF z+LbnMN^tb{B$kKXhO{i_MvCB~P&H1+@x6eW%qGOfkv|wPby_AEqv7Wa$REUC44=$Xim@dPeG~MZcw=QQ+>vG>;_E~xJBaRqP=sZF#}QWlvA3AE1mL;5Ac6( zRD4)-(An0T0Z9P`jQcC6tgGR&TA;}6*on{E8!*99gy2-Gr-SovgFDXt3VCz<*`%Ya z^6vh6%B1neX3$1RV(NX3h1q`b{AoqOfV{K+8T5C}*U-`-0MN84g4m;F9>>Jt=<|?%?s&Ce3^~fQ1S& znMv2-pAUPx@6GL_7M5q6n&qbZzXqIIbZ+CB_~hG#?{y!$<0JmQez{V&`1|6RnvX{# z*G_M><~lRe*!|z1=l08Esw0AfmFt0vxYpW5ya(RQ+sW=acWdD>H z=f&KA+ivFxzwM5g99LZd+)#7U@VHF!UyT;k-b`HcZ13}VJPv!W`&{9G4QYMoYfxU#_?1uJ6h06p zkf9H3^T)MZM`{%S`%bq`c|SvlyahH6Z+Cx?f|=uRAdE53d)w6MX9OJ=SmMC-r7gz@aH<@U(%a%pl;yKnQo85ch>&){t$D~9Yf7e{$JGNCmME379 z;D#fgNWa}TFaDD)by+W}9kyi8ac)r4vhfdR0he9n{6e3Sx%?i%}S;9&f07B$~lD$-^-8;Y(k2yPAnFQ{uU1~!rB zUgVp?#K=;l6A&M-UlncxcG&@>0f$JgBT0sl!1m;eyB|T591M)lK{FNWeKiD`I8rn> z09%-#D}YPYYo K=d#Wzp$P!XrF%30 diff --git a/man/figures/README-plot2-2.png b/man/figures/README-plot2-2.png index 99edc66868fb297363de1ed3f199aa32daec71a7..d19b33a2283615531c2025b49eb6c20369ecb586 100644 GIT binary patch literal 48105 zcmZ^~byQr<@&$?p27B5AIn(EKcXd_mUAsdS@DU&&Adn;_M3f*Ppt2w!AT#0Lfm{4Q2BZ)WFvu3d z!U|Tx;=*>;c8<#ShQ=o1CblMy7RE~ALJ$yNA|q9G%?VX8`BIx}=|7AI&K4BJAisW& ztFu;`0xloEn$+5?GQ?Wf3H}&9T}!v1V%>Spv!La}6h!SV+KkFHcPyC5A{U$}34cr!bxP!NX^OFk+(%wC!zM={eL_~hFlx@Oh45-1;C`_UV71G?!xk{;^wjcG)q}c*+MFFAP+7{%9aK+bWtop5u@X)!qgk!3UzHm0#40R*W-KCpnWZ+!n zxt>Ko4Z+1nDee6}3NggyHXUP?=K}?Cm8=C_$Y`XxIs4#s2&icv+Z4+CoYBmJYhjWz z-!x2+;XHij8cnT`uTQ-=BT?u@pRo~hfRgvSUfO%-p^q-lcaN^>>B;chF`PJv_z{%M zYV}t_L%!jZ0{CO~e-0AC0^VF;dB!yBY zM|fNKp_|~qtJ&A2&AN$xsZ0*k#filUtC9ExTRkpsTlMf(F}2Lrd8Z@i4`%q5jLt*L zv+0f#Z$0`43sw3D99r*R;e4QdPgc|#KcBGuQbX`=vD5Aozu}ep%9qcmYHe7Xo1^(z z?GcJ(6vDgNy%pZC~kgKSzofoFFGu0GPd%a#5E zPFL1Eutr|`UTl1r{5|%8cpKpzil2>uf$6>w0yE{e*m7nOa-|uy0 z(VVm#wh~SiAlE0F??F_3`}C#9PV)5yXT>Am#3}RLmuG732dxH9l+7~e$tUwsc0aS7 z_6vwIz5@4qC3osRqYbDpbAi3x>hky#r6ebJ+U~ZL>kx}x?RsxdFP`2v(6bv5O<8Zy zZ&_78K^kiaE<|^TUjQV`FFX%Mn`Z05WW< zE|??;3*S=GV&?=$}N0q*Yo|ED{FMY^m)`OJc+i_VSnyGdb`DW?fu@wcaq zHyVC^{-UgO)%(-hiRo__?PhLIzmi#95BzyNu7{~D1|snERJSHvGq_yBsAQ4^yr1s# z3GCXYEWSm!$fdGJuKT`u7aqMh^e#3qYBvlW91s1Zc%{jR@cxAT_^{zS`Y4z7h0N}E ztBNqj*5BMFT3rDNmc1sgt3k&kyLIH#uWIvbh3uadO1w8RHa35G9^cg}OF>QfW^ zZ>J1^->q_mSa`O$E8j^tRvPUR`HkL7^77pk$gAr(1Z^BYG<8G%LOu04db{^JQma}y zD=JreJhh+o=@JbHM1Ga*hFdiPBB!zfXTo^Hf#?D|ga{{K+@%dV7z6m20Rl(v5 zxJlX3v8K)Ebdg0fA=g>rM@EKRsakoA+CWoNlaYyPg-$Y^TA750hX=5Rl!jn$Z-0Np zjfO`|uvsFofh*?MFBuP#dCFb=25Y?RHPgM_;n)2O4HMNAc@7I^Y5PNth!k(-y#9YoH2~4_D007{T?lj6!RHxbqwp_b0 zN}-Y7VV?cjph&BpZc8(OW`0q{`d~c0&Ug^HTtj`wu0UQ(umxKEZYNo@)wSG<^CYwN zKwA}ygoHWXhljhmy85{0zTy@6)2B}#lyB$a{ZI-@Ic%0iU}0hVWALBy(N9+zqkVqw z;rxCtIOX`keL$^JPc~|mJgr{&-k({!Mh z!EE;A@Md7jEVvcv+{>f{x9KrW0N?D?VdB&&q>cf+_km=PSAtjxj+(Xw@biMcZ+n6s(W>i;O~ZF2 zg5^G(=9aGyuVWk=L)U$E4YFQ>%O$F%R1;vs@=Cpoo||U3TVHkUMdC0&5VEKar8Uz| z{$yfZ@@Ay9O0|kt$JYBDsn+VmIGVR$jg=TaX!1MPB#G+!UZTD&212Av$#OC7wl3%p zKfIc=6vLS8S^bzfT9F+Giol2(tj z6XuFQsb-qYY8J%pH_w|N^U;x76c)r}~;n@n%?_YJg za=cJk8NbwEqrD=_vG!qNZX=>vU+8D;mZsp+@lv-_#Ov|ilsHMfYLSAV^h~}q4nYPt z<@j>(>-`TomNX8#4B2PWIF}qf76L;IpZEr_d$3y2YOuDz;4e_Qa!mWF#*0$I;I?C! zP}@2|Af8DC;&%P;YGk?Z1a-%4Y`4$p{C6LMP_r(N!o1~w(PUvz%f;!_^%zmH3U8IF zmL`;2EmW|hks1b0lQWPth(+QrF}0q4Du?nS6A=}a%!hvnGMS+&xHZwdIhaU10_KbP z&T5}Cw?q^{2tY(xe^f; zqa<);yx)t$U)O#!&fO3QhtfjiYv%o_L6n!{98-ZNjXZ1YUH>}-+<^|KgK;ef(@eW( zQd<3vHYDSq>a|+4=x0SJ%9By%&e@SbM>HZLo7VeftG(#&OSNWJ54Ugzin(G)1U_C{ z!D&@-%OaPlU!y;z(`MnaKBo&V1#X8|_eUe~JkdatuUhS*Ake&l2zs5~<)caEC?%x- z#{&@FJwUy^o6vcR9;GdwM*bHSW2X z$oAksVXC&rL+Y2&NNei!tJLt|C@w$dSd*I%P!(L&Sv@ifvZylM$Yk>Awlb4v?R{>C zMOWjVrCf!na~^=cqofI_IJNC=32C#MFZ;Q0hd_ggqw&sgZW^&;bGhEitne4l^JT9R z=VT!(v9M&2QE^%NF&`#YognQ=QY4JjK`@aXGp)@eB zphcK*h2voR6#;RG&t3NS&?5P%Y!)%Q(Il*%M{BK(3^U14VI+LGB<=mg2vo1%fp66e z2qW3>bh9{C7_ZIK0j&-@VjgRn+;_g;jxY9taP%fedZIBk{H{(9pJ>z;e(+CsAsBfP zt7ujX^kR&g^4Sr3yP6YC5rG1WsWUO67E?WtU1ax#!MR0GoWLR+Stzq?A=Czahyv9f z_wx*JFBk|#;VrNydX*^!x53APMa_&D6w!whD4R@w&YbtTZ?ctR0=vL*`0s@=EWcxR_R+TXB zjNz2eR#I=$tP>AbmF-lS&?0WVIQY+-tcd=;d3u*_5G1DR0S?$BdesK}FzEowDGN0g zQTgpb1OTO21+qUD`K5IfE{o8zRnBAmibRtsW~nrYN~#}WB$=7K z!1S!<$?EwG!NtMIi|VROV3rkt42~}hqm*80k}~O|Bm_NBg)f&%CdH<>Ph}M+8`(5m zT3VwZ>*JeETm_|)_zw90GTcAmCIS>^QB+)r-j9W} zUR?rfs~Ki1eFw(s;4GfIRbF_LU(!C-a6A#FoM99igVV?q7^!k7gwlc}r9wXMM~PDE z?8=YhN0QT%7y42ppe<&80yi1A?zaR?%7QN+B< znvSg}A$9YC{FgEmQ7e$pcw2&}A75xRN^AmJ5*on15&x9N}O z;CT~csWpG}gM@}>*3d&sj$(&@fH>zIH^^1A~hWg<5C=+_f(j-GbIk$jMm4HFV47q)C8h}A8~Q0Kk||EatW_sLG~!m~kKk`)h)DzN*-)fwdHl8+ZE&lOKxGi44>ju=L{axr+6$@jf%guR078O{1V#5p6G) z8KC*lOp;%xihK;emF!PQG%&!FDGr6e)Z}2O0L9=ac21LjuNUc-2Xuh4y*geWPaJi{ zU3A}=plWu<#S9{fRqD24<@tW@h0H+`(se&R4;Zt$;NNT#w$gWBhra4KjeT}3R{*gI zT><&=3sPSg|IVTwcotpZ1N#wnVE7F+nlD$oJl~rvt!ZUOEyH$P?f^TPGxQ^%E3&=R z0~j@{zcalOv&eztw}Hr0UkTjxAo>6nf7E4ECrkA;WOioKQkO<>2`II;bOMWhG>Hf>w_rHS718LnHo{jZ)u%~xJX3gyk$RNS*%gjsna*wx z*;fsaFcn$P>061-kfsMEl zhDCo`f~j1>Zs;FlQN@?XDk#F0GcotYzye>y%s7<39hYM4?qRk%mn%IIb~)NJ&Olay zAsSd@Q3w0d@2W9JEmN{SnF{AvOM z`qg#u=&Tcs3Vb#_T;-8?8HR?cb)f=WockpVB43Odm01Hi#aZs?-`-78Ws@#f5#mLq zi+1PgTp3F~eG||s^QJEYX~pBJUr|VW)BE|(1}DLdF|yY6`0ajnBm5^>hI(0ZDNgq3 zh->K_Y{W!hZB4|Vq`1~>74)B+Xv3B8DX@5H0$_GJ#uGf?dcz6E&Re2c?^`JN>NMZO zd_)5HQfb&m@X377vz6cC4<>R~NJyD>jt3;jV>OpeZ{d3tehj)Fp|30&mD@lA0grq@ zwfCn>%8v~QCdw=AgBAn6c3mw1Ukwe1ekE?XSc)I;4_k@HQdKi(&+8v;j_KuVUAU}J z7^pgVZoJv{`YfBu(#6$iHm&aEP(CR4B{OGvC_g`_gDfhzOU`ufcG zct~-S2*=MwQ*$m->Bn{b;GCFw0lwj1o`+NcM#=`$E6eY(RY!xnngR291-0+1*za36 zf+n8--sJ}X#eylF*E~GG8r0AT3CC*gpAoAZ+OXKK1LU9{vvF%|xxxRVnf$X*H)%mx z2K!R~!#s7tVER|-f0uNL+erRj21zIo+;cVy@+!jrJT49&{Qe0k+51tS{^woU;K5WA z{!Ul;Wme{SEEikJG>)LP#2OQ)v*0@?S*Mje=}|N21j1@Z$8o>c`2R z{a}mu&wBy^{#B|1@?dHT$LQ^DLEmC;B>oo6)JU4->Ua7$FPS6`^M;H?89F+CayeU8 zJr|GU8E~rIJDf4}wP(P*kbn%z3I8Sq+24?IC{7B4KojR=hp9jje74ek=;)-ad8<<^#2x%frid*Ab2WPITd>P@78q+_?vBm<(!g^k zk^??LhVpzlXL_qWE6eY^{XuWJ)vdDaeLk3E%*>;&Y>TmNIihMtX&*D4G5a|v#uNr^ zYrEd2S<|+kVs&`dxItz7TG{a!CKg2~xuExrvHfmdy9TMB4)hR!XS>p16YDLIN)6^G zt9(vOzzOy35JmLRmzJGE%usBAqE4X8EjBR7eFWp@+u@_jtzO5|;P-gsW{9^FnCRPlpl!TPaHPy{ zg&lx{YDD`8eL`T{F(m#s;I=73ij9kVGYt3D)lq7BEaY+9Gh8> z0ZV4LI}vocRBQ4Zgz~M~xP;(a>yGr(eyZL4c{8_0i!*JxUb_|*xBaG{%5l~$o5eKn z532Fp4yDdh3WG6S&Z(>{Dw3c}mcr}YOVBp&55t=NwAkuqSNyg8`Fiw`;d*fhmXOro zi|4KRaHViCa*a)8+jUr5@LSd@cz68-8v%u87u?MNf!*vm0m`aFpeVr(K>a%!g_uM> z`Z>B3ASecqh)5$}#*G%+zu1;9lzQ6(jGT`>CxlK~z>J}e^kWa~vo zX-Ogz{$`l7`~62BFj?02JQXBTmE-$(RCwJ?t6o94C61aTq&SbLgQW4VtKCFoU=Y=S zH*BZ{oM=?P0$?Yx@$f9Z9i+SMw(pOnt^l`95|I~x!#&Q^#KSPB{~vuH5L82T@^&-9UvG8X^}dmq*K-kQR9rLUrh^ey z%JUA#B?1v#LTLCyTsD|Z5T{m|FI&!+(avPQ2^BX0@+C8jSAo}GSK7Zd@+?IAS9vX$ zs1zGPb5k~{)my4+gNa^Q2YYrgx@b=ve*6#6*GM)6 zA;q`_;It*iyyO`l@^XWX6-I)hhb&Ee0~ix81Gi}>uJlUP7|-kkG%jqm;S#*`OrWmx zGx@yh4y2x&YO=lQ_^08ms%4+;V~1yEW=sfzVi+c_NHU1Fwhg6aWWap~X}+$7lE7)< z^ZgUa{HG;JOW2M#s}j1QRLZqJ<0$|)QL>wsvi-0m_{%NbX6yrswKO2~J&!2QkQu_N zAPh^0l>3D6D6=8VA6Oy*(pelz*+Q@uhAJMZ>^3E`IIUKQWd#*5w(v<@L3h|QPxg3+ zv&FHc46Y9bf~V{4t*%H3LZ4lb8X>RDs0uC6s`Bz2_eQ4kH)Euk6ccw_xowl~MLCi1 z*?!Cm#%n$|{n*Q9it|4*pscrANKoTT>s1v9RcI(uEmfPY3AS+2z_DvRV@H=tk;-Ye zTdEP&Lfqmng~3*kVWihLR5#AM#@*=F29%}Em8vJ&VDclttBGnj#&7avaLRZXORYta zMuQ+pW4DRsy|7^5BT zjMz)uA%g3pEMkxZprEQ9Yc?NeHhaW%0o$8TeDHD@GlAW5p&~sk;B2+IHr?@nCi*p{ z3dTwbxgys_stfYv`=_9js&J*e?>MjWsz{bt}eZHLmAfxhU&Q-QN$y+_l@sl1_^vWl2+>(4r&;; z5c3NtG*o%bfZ5XQ_+hwz>U;{G0QX8*%_O|I_cS<{nZT}?`me+2#~YoU^Yj}0@s#qK zL9;k*SA<~aA2^qJo4jv9tx4F1=H3dV|(fbBal ze=k8Ipy8Lj+C70HC_e+dATCSwWO1C_aB_}l=vGIa7XtMNWhHt2-b?&Y5FT#ge>aQ8 zQH3?LK3iod%#FxC05yUUCq-jXCDqf37Qjaafgn|>cYm?LTpn8Wx(&OBouB}75kmXT zTS+gfnG7W6R2~;n}?5f_Br~`4{Sd9a0DY9o@GKt)> z~!UHm7c*pq4^b?(Fj4fe6@c{BLB&K z#*+(s;$RD;)yuUg3z1pMBaWnC5WA;?nU&grDEW2Mq(7j44#GnSeqasIB25wl8jN7i zGw*N)a9^542VEHY10DTHDHw=R_OO*RlLmawn-9Kn(I9IO)1hvIXYIJJjztYlpbC+} z$big?D!+cB$Sa4C0#4mzhZvJnL#ne-id8T*xaE^n{#%AAR;ioA8Fob)n3Psi04d0DksXJ_oGhk~4}MgjyPW_sTzBSC88O6TF6gf0Uesb;vg z4G1ZcFE`#)P-ETFe!P^fN73$Ks zzm9MIW6&ssj_!YR7(aoX` zWJXM>-Dq3C;sVRvS(NUsg70JYzd{RmZzw^4P{4J_8BTR$!=giQ)!vrNg06Z5a>Ge4 z`NiU^Jvh5{N|D4>Nv_c3$6&B>G=A+bo9%KJxY5$Geg#2_~nWY z1R?>#D~zqZHQ9IJi}9l?Mqe@$VT6vFA8HU2#=bKeUi}L0F^e)G z^IWp`!qGardACBZT|TCVEMGie&`38Ybz``3@V>P z1bVlVEwXy8w|O{{93>^;HusK!0h5tsSJtfcVwFF!56DpYNLo2ZLFw^Qr%bCptmEzV zsfrltl$IY1zR*`HV;1*kw>lmSkw{^BvF!(xt*Hqf6g*OywOHwXdy5m#R7&8LK{Ob4Tg zEcSmTFLO3n_TdMhR-@Fb2qZFSk{53E6EF0anJRo$D2M@9&6UBK(JXD}n>54@WH@k9 zzO65r=kYMt87%Dxe)(dUI+^M77~1!GtkUXwW;9_NiXuX54$)u~bf;;PtBue?_(`|V zjE~PwXp5ElYZgo~8EDHSACF4D0fdAuR6*qj16AP%7N|(QKF-N^s+6ilRu$IkLH08f z-y!087y#12HK)@@aM{*kqr-bTAnfd=s`0i=vvxPJ+2{t0{zomorR5Tyb_D4AGDHD3 z5u5X1pSpHb@dqTE!#CjsEDr4?`L&~tQG(3Y6|g8>?R6BGiXx~XZw^Id6y!KL_Am0_=u_iC*fifr;H(MQ`J zbvZ!6{GDe>PzgjZ4*MEAL=Dt@u^yun!*m4Uxx(q_Zks_v7uZY7YHGviKL-XR@DtcWsj-Fzj z;Guy2e0%xh06esW#Lbx+uiuXNU+lB^03_N!x~B7`kJ=yBYYj$utv>nqf#m^C(~*6( zX=y3{c+w;Rcl19)u?C~}+}}3`Ghn&T*DSQMG^wgxsAulZmwRm~Ny%(5eWCpJ`m$#Q z2Hc;PLeMDSM;8sWh!t;nzum_%tG?^hj_m@wbV_fJ@+Hrk@`30AFbWJtCgS?ahf(@kG@$8P9*U#QU71=#*dI)JGGCzR+Bf~w+BHV0-_{Rx!42(UM zym+sgfMMz%F4ZXJq(?1G1m{ZN1l)u~VIc|1alw)=3xy9v`iC5F9Io?&*b)*B6X^05 zxNE-?{Vl>t2QR5_YQec4*B0MUcs|`iphy)!C#IIw5U;KLV40q8l)Lu+vYVvvHShZ8 zUa?&{qRhhWR)LF3s}Uvs($v*HB#Dild}OIguGMk_hi*Y7fVCeb{*Kzn!dr)dNJ1)4 z?X#uQM#0!ojOjrF+)X{Q+3)V$Z|(1#6=O}uV?cMFt4AtYFB52w-xd@{hDP$`7>{S} zUbvKR-hF=2imtBO(?*`|SX934stS*21f~5AY%Km+GTn(r9X=)aM8zRXmrF~BhizSc3;)0 zczX6=u3QYVPXYHH-%GfQsz#?hkh!Kv8e4xi0w$VEl9k>;($n8kUm z(aGFA)isB=9C{9z6^|HxAUiRhop?bYv-3T(R>;U|B$R|H2X5o{&x+%woV!h@TwuXKpOiij7Z0cvh zlUR0TS3zW#vc-e}mA0QFVri;e*lD0-`~*7zKy#tF?le^imTs&VJ3iCJMEH|`%yn$B zZ#klcLAp;(87#F=wv^H1+lXi4H1Za96_*2Vq?Jdan4``1J1!cAy2j7#p$IlXxBJ~F z7AmHEo=^7eJz)&66SwlY(ElgJd1K8r)RZ%E}4{tZk?*f zahpCT;qm#-_hbTX!|R^*=xQqn8`NF<%PMjc`fu*z0mTDLaxJ{u;-A{*?EVw9Q03*# zf}}4oDp#4Oe%~pqnp-mDM3YHE_!?(Q^h8o$Hk;Y`uJ)uRJrh?Vn zY6Q8ZNsWYyJZ`DjNb9Y+y;AY6X0FIM-c=~{Im9*pEZ)O4xAl4dlX z`$6=S4o_H@Vr_jbvd+bhATe)#`2=-R%r3j2{@Yi5pFAxrI`r|AkaAsp&DIzt#~Ks- zXShT??&hcvE*Vrp+C2irJWZ#a0wLr(qKHzrMy%GdUomazLS{#(TC2;?Wz z2J=c;Qx`Yi{7Y8enG2{ALfs4|>&c`7hPTM5yblDWNJGEB^Hw`spbRFgTE>sen8k`) zjvVCFw;ml2@?l9CldXB0FfTi?3Chh}@VZJhFtRYlGT}cEm#_M0&}6I?I|iAz-1War zt=y;&Kba}9S`6(@nD=HFvq`N6e=0qP&2!TETZYg`fY26TWOKHFJ-Y3mYOd-3-2k;r zAJ^rL2PaCZMBk#IA#@WyZfiW>c`xd$UYlytvUs|4>-4PTSvDrz6R@Oi3vchUN6hAW zkqhji`fQ^w2!q8t_o`^IRYs&M{TQF~UPFlN4W2|rL%dau+w3fcL*_NOMcjozlHblZ zykyTgJKbb{stj?XZ~=i`S@9ZgByySQ2|Zq4T7!UNDuS%{=sR+{$x*L}fzm?qMd;B} zptE3Z!S(W`E0KleoAe$_Sq|1{LVnQG!=#Pww-Kw2(`B-M>%zfOn0y)EC{VS#OD%lL76myKEh$Ph%x>S)o0h zE+OU@CpaiSQYj;jr@}qGuR9p%f4mW)&kyC@G91sgW$1q1s92QqfDO{p=MMMFBeubx z>O;Yv9)esu3?HhCU$AQK}vc2ZFhTCr+swi;j1X-N_>`iLlVYBAo}qBOc=>Z zHUFUFIsLq)g~Pkb07c|2U0A2paa(3&Wbf?m^qrslUrYk_hm*n(V9Ddk z4+%8bjWQ#Q78RLreboo0;xGF%OU#}k1N59p4oTMA8^qaV#6vs`4Wf)$Hh57^Umqv6eRsw^vq62YG$@BuB&Ndn zC`jXAr^^E5lhu?3w)1=>P0LE(Zsse?Yc**pX1-{MlH^!=QvS9h-DyVg? zwJXzQDc~C`DerzRhgcI_lZrob_e?oQn6e8-o_xq*MAcBTN~om4noKW5-<^GUC1}hwTV@kJBxc@Cq}T%WqUZi)Yw!y9Y3x zEosqZ9>30cFVBoRsiT(VHEmQ{Nw;F*F>zNSF>2LnQy#eei@N^E&9OaEEkjB3aJcx6 z8v0dp$Iosu6o1fSNi!_LbawXSz|%$0 zluOZ1c%Ez3kpx<4&7cD>W<|X=cvD9zUIMnf$GIF@cCxVjFoE3cF)c~N92w@gqy!^I zIgpDUT|sjuYDbbgug?|bY@X$3j|t7@wZ4=TBCCb?nagmIA5-SpKe%G0QyX(s4CB3C zE^0f%2b`N*@^h+ql#N^y>N-lC3;X9&ss>!K`Lf5)FL=^P14~B2x@c((X^V?hNaL28 zzqu(nx;6~?j<=MKAoX!G#A!HM?5r;u_4lrkzHN|Z54e;7Mom93uDQ=Qs#6Z2%Ymg9 z_3VwdDya!!PVJk7{Fp6u<^pS?E&S{xlN$wCEA9`}+@xMT|KRjLR%G}}>Ri4Yimz@i zQ5!v$OOY&2TS*h$A*~^iIq)k1ap`H}yhAp;7?)!W zL-`laBy5>)5f%R)m*& z>~6yQ3HEyK79RLpJ-XT#ZnJZ*hJiz#8p738FA<_Ahn6fh`jRjo)|@TexX22gHqZnm zH90*TkA3czLE>QifBhu3O#SHI- z)Qb~M0hs@@M7=`brL{h5f|x+kCN=F&-21gc@RNc0ZXGANM#=lRVzp4cX5Wu%j{Qqr z6&<=-lfObargxJ&CvTTVi>%}9GY@C{P5C@?Po*yIWe;a0DGrC_ab{+6h<7{pMl$No z1njX_QQpZ{1pb3@o`p$^zI8tp4xdYJwQmx!j$poKX*MsZbgO01sq-CBAAhMgQ+Gme z>R0i?o{Om1(iFofp6O%bEKB~}?0^gKs$8Opo*QY1t_17f8eO} zlMAPePs{I~b1XX~;g6-G*uC><8$U)Ia9Ky>!;K?a=>FEty^kJI+J@ux zk;aK=9o+!2sBxDesZvRWGK?-F$15BDxAus50>)EsX1e3O`jYBsI%0sMDiu@^GGKI@ zTAN+z;(H{o5}zVdLt!6VE4M>kK@lIyxv~E@V_>^fpyy?P{1Gu4*2XY2rDpur$+!ON zDPST!Ee;W7{DiLfwnhKEuw&TkwVq8Kg92UZtjk!bqRjz9g&Hc!Ur9qTQ@vv*}X%Yh*q5FwWB67Lc|2Aw{#fzOFL;34(rmV9L?5nG7-W9aw+z zz-F_|*69q-O%`95Ha_Cq)Nh)tv2xp`?nJw@*qr|ZIb1g}1}JY)1jyOYM}?Fgxh}RN z$yq^s)5TEnO^^OpPU9~1hw=<{@a#l$2P-lUC$ld#sU2@52dCDjR7mHBav zcFL9k@TFp6elpHOuI<-IBC4G`dt}=EtI_!=41NLDxGzW;9|aA97dh53mOSXzV|O9t zpU$q&93ef`v0j`&c{%~Zs`wrM>V>+9z&z_3+V+!77YrmrIcDaT`|+~oeXh~jlyfyu zg$CY>A17qUjn!z?c1DKyzq%3udGND%k@%45{K10XBwH{!lQoZ5G*V?##5z3jD+eqB z5G;N=eUKasIRAz&&pnDgdm_z#np;;!sO<9Ee3w=1oEGx$I6n^~M`cqo2VQ{TA)2pLtG# z#+fB&NyUqtn zb>kwh`BX~3`v&8B`B~gspw&w78J$-gPi}tBQ_E_%!`s2JDkJ4qi%XW zklOqb_N@KbNzw%BAjVWz$(#AeGueAM5`zDRaxlZnRhHBmYjS94s498gg%_ByHijk0 z3=%*{EVi5QBuSdR!o!QBWUxX*tKij&+f&YDlGXS=9ga|Jn?K@jk(R3Dbc1NV7lqqs z!+~A%JsjjiEUJ8omJGp8fQ}TpwdL3Zk zC2T6B6o8n?;WSDlEgkj$@G!FwBy`otnVhqc8K+?cU)64EDwi>MN1bn?cv_4ZedF-% zUn?c;LZIP?qZHe$9wg2MA47`QczG?sU9oJ5X{%$?^0@Fl{Iy?>981I?2}M4k6P;0A&MUeZ}F1{>?4Z``@Xbqz*{fX1c6T` z?lxXaHkr0wRt#6)DO=LBvtz*lq&^2`heKyj;F>f zuEb+>#izN)4*Mh1+Mt%3IOfCC`fE?4jbZD)V0HXm*z-T$D++Z31=k;}ZB+uRk)YLl zJ|aX(%R6Z!xn|I5H-8cp;na5~Pg1@-aU-ET_1i@Wi~*{zfYZ3{)5m$i2a=K6tOYIdwLlXApYn#zI(h zVXF2UhM+_%UlLis59HRePq;o=t;XB5loTr_+&t~W|5?7jR`BO+u0SZ7gsf~n5D5Iw z|K-Cz3yg)77lk;A{!moZ>lob~oYuK0+Wk~JoNDDp{5g5rt44Ux17V$qQEvF3r6k?t zp$qu^(H{cC9W4C=+wjQndnW|*C8_wL1LbJ$wJ_y7ek%Czsme91+>)D>r=RWzC#jF+ z=uCgTX-^oK_~^C#(#+cZ!M-OC%CbRLT$aJou7N@P2wj==NFeR)<+C!Y<1=6RMbV2_ zLp+X!=J1^&6j(mI~a{&W9u$0zBVGvi@h2NU{7eldDaq z1#b$}%;YU?NMuJ6#4If5bd5Jw1#}FOwxC<+IXI@oe|ioO_rsdptlm#~4@3Ozl;wD_ zI(Mt&vs}0}JC}(PCgd%Sy9=Y;SIR>is}-`Nj&2xF+NsHqin2OoSgG zP6~<;s6rRa%f`hEu4h?-)qdt|1HEb=Li6JhM4VgkLK$#m8SUDl=-4d}**&r_CwW-_ zaS8D|4L)`lefFd=jfY=I{_NE(6?6mGIu+z^=FXm7evrUKEK0r^9T=WRY|RS7&qQAF zD>UwTyi^GV2te!0ne~hDWmh);!p-#Rt&_jPjx-4QZXB~7^&~%SC;;B;!<$IH|25@ToTTK7fz4O@ns?jkb)#F{Qe- zN0aFozE-O%<6gLTt!9#dB>Kmbw<8OJSf?6*w%4O_jpL2Q!cTW!Y|S!;)Jv8~UMx`1 zZMf<$oPUUut{9kr96#H&miTjUxoNr6m!ItNEBJ^SvLWyF5Cxm@!29C7b+E9%&an4g zGV%z`cy`iwGOKukKQj-u6-HO|PjCrCvj(HE=96q=Yf+XTy4z`9+bo;1$FmLWn$IN+ z7G}zg`sXd>h4Z3}m5bI_-MTplhwj3}fx_{f^YFLAgEA{OT5i+$Ry9P;o z8Nj0L@-_2|VwoERbANX|x3*XI{PX{Zt-lPbvirVh;(=NCMA@V?ojCx zL_(16?(S{`5s)rv5RmTfXKk&*ZiG} z5pM%G*HgdF_150Sy*4PaR~tzewz@o6bnQYSvYh$0Wc-Tn|78IXz88NbjfHL%)z4^F z_D$Up?qycD`9Lhw8Su>OI;Y|)z3d8?yHI(o2e7{M4P$V|V6+GUg%8M_x=1)FV3G-_zCMf?K}@UO*G(*&gBdWal=!jY?Z zs#q&0HqAE zpq|JE7r`G>jdlG-?5LX$Hs>2k-u9oGv!e3){sICzj)6pqN2og6p4e67EP26VoiJP? z$IQY~OM|9JhmR%ey#5m>S;)Qm?70@9is|#86|q`cPrQ_XM3`1JYwzLV_7G7zp*J1w zx3SPbNS?n=E6ukTS7sqZ>58gSy30qVgK??26x|OVA0GJ$B@cF7rU+FJ=yKm(mo27G z+R(F_%K>Zr?r~xgQ_4gmz27X0*V3s)gpG=SV;IHTS8%%0N4x_7xgfrQFViX^T#bb5 zu$@H4F3rFoAvBEj1n)J_YBrd{C-G&|I<6f)5R}L7<7hy&Gbdj7|0Ui*w{Rto>18C<^n$$73q8pKpyJ zH0ZD>83CP5Bxu}Uar!8K=OKE) zg-m@-z(@of|8RIH8W8vfzkvBhr?uLR1S9@rf%nCqPyLa}GZPGbbjy#EqN62%-+$&{ z3g5>?^x=vIrhYwn*c!{p|UywLvG z)NoY9h)yf4f|WKadE4T{7Bo9i*Y1>J?*RmK#{by>UcrAvgd8C3l*4;vpz3@T%SORP zt2IJfdOiD+C9{jL-tS2Y-^@R*R7nrcy)u6Lg&kblm2Lc1US;9@r1@tw>s%KuL7>FJys{Wlnt`LwG z9_>;sZ0($@gHYwO99HDDuSdS|oy)60U`aamkdO3k`=cwS*B`uzA}irrBgsgC;gJ7` zD&-z5G2}v$w3&>Q;~ffEu=4#wRHYN!AyT1l3-rFWF6A(~#ri5CQoEP<9SD&g%H!Q9 zUr3oSzsU5V8wmOrN75Y$PQl>iMCV9|93>M9&QbAomB^Lvm{BnWFO$jb|EjI!FxVK1xs1-}|NFPj z4LDICdchs&m*%MX+1(Nff~1nyNlE0~3_L?E`+SPyHzAnmN@wMZr51^oI)Zs-~zgwOo2kzTQJNWDM{SihE1PcOOxo&i5Sv zIny88|DI6ZSAd1`?0O^%JFrCWUfqMUifWSjQu){%O{7?zZs+4C z!~-NdyL;w8;2?%$grpg@a+!&z)9S`fh25|4X9(Xb>$m#p(H&Ck^N$N_9QPlR>k+WHW zVCVKBMYF{7b!1DZ_aklJ$43o#91XJ< zDf*pWoBBa~Xpv4HXM(i*#*28|;#>YPHoc^>?YUKP1#7@QhMP1i{HE*xBt zZi$HEd|8!zRTSX06NzLiC7GC&pd&|y!R2CmE~(PzfByBm*g~o8h5a2l zDP(1M@6&fZLv)v!iIp`dNRvUcOxJ0q=jX3wk;r;=B`p!v^+Gh`{#1x8(yfZVph1Cl zN8PY9J>LHeS%tKqnIP?uuEWkDT-EM0HYn+gok1n|*D~d^Kb%z50c{b#!qYk?-kF)n zKRmol7<5sF8)=JcM?U^{%!4!_VlpyiZkv;{jAON7f|e7p>(Vz()yISxEmYrhHRaUQ zmLB^VdnZyj#%Ttio&F8*|lh$`tq@^Q>s z(G@Gxzv}4d=z@MNXC{rUbf|L1b~9k4Aaq->u+GHv^hkw%{aUBg(uN^XjT+{1Q8W?A z%HI~p$J<`5gTOVpPV3P3+*-1G|6h_*;8U=aCCwQX3?*S2K7=PvE2a8edNkvC=N+?M zz62OvZs9A;RZZ-+H-`rHO+KvRr8}H%zc*DfS29AHq-9e1cVaVoBerI!vUry^_W95| zE_+{&0Ta>v8*8J`QyvI;SxB)?RI>`HDgiO?S+i65G~_Gb%fCN!f`2a@c7l#pWUKkE zko)WW|EynhN?_x_CHEVD;|;`5C~Pmju!W7vqI8VuEjC}_(+0}9SvWHymStGJs7De` zi!zYaUZ`ymxP}22zJ}Qq`JEz{bYSV8J5(>1sze2nh)sn=E zc4znK4fvmGsOR^5lZ<_lnp3KMy}b5VSC)QgNic37ntudeMCpz8ge2gCQsZ3~IADB=f$MWN*X z&q4>gmt+@m7k#DW7I%bS3lP6Om6$Oj$RaHrK#Uj7J z(bj#BF4#b#@n(F{*R>@&)AirR9D(YH-)j2OD-QKH&QUMK`t>&~h6utOtSJQSigGg=4wNBCW|CLE;u2-{V;2$ zr_phDqNrDC(S8KMK`QLt8mc#MP@{q)+sn(|2rL$%~Z?$0!u|AfAHrwg<7iD$I}zFeov)R;u&U~SF3 z==dE2k*-lO;iW6c=+b=vXN?TFJJF$JZbjw_#?#`G^6a-QADYT2P=7>HsKR1(6!xTv z-qI3mgOoD0zjfWdw(xb`j7}tqsbUJ{ml{V8)?Udd<_aT&dCX%QwbWP{PZ!~6xp2|f z3(Pjur$RU9O1aaq{vDH`oVPQ{RAhUx=RQrglb2wS4b+ngyB2lUQ(G`34YDK@UNEra zLZ6L*2po^~DA_`#Bo6hYJCJh5_`0F&Bvbs;R?Ub=Oq(A^7!ky_YLKEd$Mi?|82((9 zX`edq@@*9rq-O)`)qoJ#ld^#=G=`d*dQ0^28f&UdKOvq~Uj|r0oOMN6%Asz?LuA4p zwJhiZ3@pWkkH9O0O09cXY=Sf?XrDTWg(z~hf^dzT|A2iDeJ2*mh^t5`etoKa(p$0T zyX2FRj7g#}HQ#Vr|1613`!4!Gr=VP0rchsO465|K22zai999a0N+1HMuIysV#~JJ8 zN@Ij6n3eDgbC;`|gao9ww|A^iEoW<|q#_@8xqWp^FHVRWqtK_VJpKs*Gh*6gQM-kd#J_m0o~9v^>vC9wi75f0&p z60oCd7M5lDo#40f*m_~xLaro>Ky9M3(i|zdvuAq0P=o9DiR0th=#5J zdmZZZFv!+`Dh%*{ECjT~>gY%}QXo^TmNbCB-*H`R6P%^?Wi05qz?E~ z1wiR~7XuR46l$^cJ8?><$@^B{>kB^VXzl|1ay(l9= z(d^a~$=?TRZ7cq_SV4I4zitm&RBtSSwY7o+x(#90!6na z*yA`XQD4GO-9 z-`U=+=*UOKqaOu=cj|(gDnwXBAp=PWCAE$)8}P+8{ldv_Tz20id!CrSm8 zANJ?WL)nhG%mTF!+g$WRc$b|JPEJnV;ggW#6M90vEPa|Ke@LKX)p?SWnJK2?6zi)0 zW~#&J(B8vgZMi(Uu{BtfLCM=eUEY)re#R`!^@VrvJIVohzY zVI+NQFGQrVF$=_4#RZ3j#;Wkovh$gK+90t^rOVLkxYxOeZv7+e)snFHP3^D4t@ak1 zh@F|uE)LbJmvs_KLG6n|NEHQLed2USJ$R~#7eT1j-=D@^HzR7aLw&SGkFe?N7tI-G zPbXN8*Ti+-MFw8sDiwchB`l==hfxEW;StgK)kVe(bVP7c11V`_1H6V~RdZ!Cv14C5 z^uE2|{%yNiQg8!>oMBdsb)2#D-DsAKkt&G|%B*uFJBvLW zO6_v*Ty=|mkAr+d0%Qdv!phdr)JIs?Ru$(1qKFiA#8J!ibJiC{0>%tsU4H)~2DlP> z!g`D2bbx3)MKP5C3- zj)BDWgWATgc$kj%RPTQuGc5T4+gofTm0uEM_vHg)?_gcYo37=Sk8E*lh6eds+m-kM zK95=~wR$z?%I{N_S>@pLzx4k2F%HZI6ys%=+$cq_*fLbgmc_K@YV%L(yqB+0(JY(X zY*-Ea_xb*h{4+wttNbL~d-Sw!FAod)$UVaeS#&aY*e-lvH8?&e>iyXo*_Pl9Bzom! z+EXev107ud-Z{idWT7A2v3X)F9Z^*A=O@x=z4#AHs_mI)H0x0Yu9?kxwe9cC+f{jRxVN$72mA9DYHe3V*D_A- z#^^tq9eqeWKsok?H4w$Nsj-2xWLnYoeGtJ76=)LCl>Wv-HxDDc7#ufJn*m!=_>%YK z+m`eC$_D1?(eCu(#Lpctr11PE%L6p-H|lj8KTF$IUGWmGnpH9QA=w>wo7`tnd(4DF ztzxYEswVLtr7FVSzUq-=%22#hzM=;7DfTseMmBl?hySXgMqR5DsyyAzCCXp7;mUM! zQ1^UiZa&upMe0DxtC6u4Fv&aY67yx-*J+zL#FCh4PrElTw_>lwOs=~CU?WqY)3E%Nhnf*;6Aor;hm_a=kC zPv6wH-bpZjsaA8{;vTXpz*FZ#>1QHs??Qw~`E{W0ceM+zO5URT@ZEaFJPw{o*088a zfjX>Q)xD8%)_rnNr3~fIpQQ_6Ck!NFDZtj@Fv94S_^VJElz>}DzyQ)Bs5h6oUTW6= z5t=C;6=qgaKC#+W@*auZ!1ILMQX@$>Y2v^AobBxWqA!8REtyxa;v2Jexxz+{V*XGo zK|uk{-;T52p?ESVOQ93KN<;DQ>dN@i_NCs{ccc#MAwonbg7&k*C)loXEPq#KS*a(M z&!|rD*v-WrW&JR*gB)Fw@!G$U``Aq(l8L0Ndp06S0iElT^x3vaPYhuD!g8Xh+r_eu z&(@2twD5)qhRZ2)Q9(I3s1BIRMQR;aB~VTNuTYAF_-vyQ^-L@s$P9G;j^G;p9ZX;= z0O#R=%fm=B;;Vy7rJ(97NqB-KD$Q?k%F;*|obXE*f~v8fnA}QG4^bWJaMmvVDI_4W zFq=*?=8KuT>r<;=iR@f1f0dF!66bUdGP#@B%|~k@Qqu5e>;WJkbX{HLOZMSxO@SA` z+&}`06r8E3=f&PP`zp~7;>`L*)aQvOj9L!M)0^!QNpWa}NUWJ)qa67@@}FC+`?DC7 zv>Jr5$-tT(dAYezu(bDASPfc#ACNM@4%)>!5WqQ(&ekec>C;_+?^#*>%HIh4C>Uun zWB*q$ftFzq0&DKy^43um$k5?XU|e2 zP_Gm^XWoAEDqBtzRb^eJjUDweMyeZES89FM=EQXk93B3S41SchENoWzdw=&QTDh7(#4+)F`^DN;!Gq--oNDfRZ7aQgHcPK6cGeen&#?> z3bV6Et%N=!AyEXWBek!PZu61pQ2N^yL`)$Ts81x+&Z1blHBC@k>_9B&JxUBVNI z{qboYbn?X!)SH~mz7y%GJm4r?-1ZBJ;6#!F$gf%i{y;ngr}OmF+cF8Q=*7KJv-(A8pp^VIZ5NvmZOs$* z-4*1?5gO-EA6G|%R&AV2*!%$auPITDQk)Qg!>7iKVopU*6@7{iz3A1-2Xn(DE#RI}LW!6HR3OaIzP$ z$j|m$sK41=Sj^^oi)rN%Fl%OlKv8))kW5tYoYQ<1q~po}a+nWz9Z0HflQJ8O*XqAc zL*=9MV-(dHm(;o=2-MV8N_%tl_l2g+-ToD|3_9ZgbFB^~u0!AUAYP|CC_Yyb!*3}? zdTvlH@J+)%52kSh2D8kfX!N7a4g$pRLfh0N+)3p;6kHg3J2o>gsQ8SE?Y@5Fgk=0~lL zKC$b4bLKRc98B)<#jWE*f!o#RUX-gr$WEmFrsTCN_H!$4Brf3iKtl^-WFF7yC-S9S z=lHK&O&N%i_(1r(-COWIU=lhL7DLI>fJaBofG|<&hG^#aFKn;ikr4q_CV}nfp9Hg< z`VGP9Gs|ClIiVZtvtBqu=Cb}6(p^c>8kY-XBLy06#7hdMKkUq4dn#gppCbAe2;oL8 zIg`XrJ3kp@o4;nl4=qDmy+qA`64I|Q!SC6S6u%^KB)*)%Z!N3z8#j$mFIy58md?%l zhz}o`qFv*cJ(T#_0UE|z2Zs)8XavY++AI%um4w?kD|Y5V=0G+vtU|!Z%bRf0oBkWr zdC-fdZq+!l7jaM@0VHoM`-1lhp2lC6!aMc|O}hW*NDgGNT(Z3uNA0MsKy+^Jog8M?Kr0 zPq1&=AdD&cl)};!)W?+L-rm^^4&+ z7WwVG@Pq>3I^I!ir`GGY(x4lA$)yh+znwtls(!<7 z?R5XDc(O3-wcW@dn`2VNsENkWY|}N6wd_`_di}3e(VgNq$mHfdBMOq{ZUDC^0;$mU!>pS${uQ-5$oA(K>=Zi)P%cQ>qY4!^tcP3*D@csu5tP=1_gXx zD9%<5^B^FUQJ+Qi6g2d3 z@zv#EhaYIsqckmbD`$dgA=ONIv^{ov;Boc1vz|>157a~a$y+rGO6j}Z7*flKB;06WSBDpP zNv?-&m)2E+56ptljYM@Zo5@0|OE<$h>$uc_UC}mS6PyRA8Ch4=ni)+ntw9J#D zZ?AqmeVNrsPf!2(2p)jOQ?dY_0^0)jzLAGcrb>d*(VN#uW>R<012r`%KS&7RN{+p^ z#v{zT)J)wE$Yn#e@s}aev0#O=$WZ*UfKKHto$p=o9U*q6%_67QR6Y4?Ppi(c2?F58 z{boRp3rI4jFed5*8R~lWXP@X^-cu#cwt|y?JKgi3>eq5I69rVL=LkM%WXY~!QReX; zsHA=FZ(KqC+CV35YYhM;sI4FZjpN&pu1HFvn*n}@PD|U~F9n5u)u~|w_mv9om9ZZX z_WQ<->jWmV5s}E0H&B!W)Yo`N7Gbpplv+twNww^^R(avT*OXe10KtyKMCP>u3 z-ppXT4T8fZJ)Kl2#B#B$$C`IEY3@wgQTeSoQ%QLXwPat3ki7}|8W`e3v40L#VqM!(roC9keH(*C9 z>TaEBO(ukW!knAE%rDz?v3a(__*t>Wp*BeHoLd69Yd8kO?@UjoO&X@@9I~m-%h3wi zEY%}?8&<=yDe$$DdCzwcy5AzULNuRgHki9hbF%Wx z3U(aAf)pdmFzi1>;zJWX@NjWa4n4%h6hA$|I7*(y^X5MV2etwtNcpnj9g1iS25AO> z*Ne+f6sQ(}!4Zl`=b#P^j$zQ>wwtfd13HpVpf)TE##l79Mx6ge_%F%{*^y?G1jtu%oA#lT&iZRA1iBB8|ShB*$Ge1cIhX93o1 zL;d@XuYbqzp9jHB!DuX7di?pkTD$i)GU?m+nGXV$;R4EgyIMFkk8P)-+W(qTgGg=fWP(J`f}r<9g7f$Y!Oox~zv#h<8djC@(?W$Q z%*yXWGWD-MQYW^!pZ@))x<0alHz=IYTGb}OWWwro7^NR1kk&rYa=BuPBxINDk zyYeL;`e4Vpkl^&n2(7S#HFHd>cvRY$7G{iWQQfsO?AtCHl_omnPJ%wteOxl{X0f^E; za%uu{6@wRV>o2!CA3YCF%$I)+t9U#7ZEIN0`EJwTbFlX-$>os0A)0SpopyGjJ#v_g zgHAmJ#R=_4{1iwZ0Egn|r-EprEyjNrjoZLn%X)lZN0v-6Lzzhroz^XH zf9g5x`F%!Uw};E?Qd9bOAnF2F1QJ*Md4>Yf&|g$TB=kZKS3cOUh-J`Vp9WMdEW9c5 zbIzOup?-P?t3w8Qt>jdKf-NIJPZq<_neI>Y)>SPsV4xS@i>10Ehc^D5Q=U^O^x1y# zHzFsq1G=h~vNUbsBTwsv>aqmjgSg4#pkjY zSZ(cn;kPSAwKHiuTZ#Fhrt;`hWgfNt=Pkm{Fjo|M>z1)bN?NKt)`ofC9XmdeDD4w? zY&dvs{~8tIvi2VLWYnI!{*l|S&U;0#4cvpkY$VE*A$?IMwd+}NR0!l4yK$$ufBSd!Sd3|Ui$W~!HLZWXF-b)KecnXYrTgiw3l z3It)07?X$o?}_@^Bc?a4IWG>#bRFY;k%!;-atH8zmhasfMefB4v4|Jn@k==nR$6@a zEwaO79nRkfqIHqHLV{C{$+z?KpiaZb+$T`;SePReAzHu3Gwk((?%!%Z=SMeUax}|U zny+Wzd4^#Bo}P2@+>{zn+k8Ir=ypywyhe!~0~w%7a0@Glh)AD^0d)n=#S2xZBk^&3 zyh1|4QJr2@A7%nf#lA}t5}WwK?XyZhnKCY=0Jj<64+LFRV)wDzcsSe2)Kg!OtfQkO zIK?~f5X}?rluuP!9S1a$6J}qdh4-U|kbQmGeq~~{@dixodG}p=3xsY^l+p2!J(XCK-ifw!vhLtb+?7q!Z|HLfDBCf`_nF`9YCas#gEI2 zyp~xB$+#$+NQV1gRN-0cWU*%PRddcO{hE6p+H8DY)W4o5ZXps9+@z&G_;oe?m0mqK z-o1E7zm^5l%pa_KIF!UdF(r+o1)`-GSD@wvQ>vWjnp_H=cDRBWAGjTql;2R`mlphZ z*`Yn#F6uRcB0+%#D|N8~WGtDwCbzZ69ZiuZGEXC$ib9mT@REjbP&JO&JLtY)BZ|Qx zvPe^AL-Y&{m%qDw-1}YC!zRtgqG4b_Ewf zMmhbq)yVs1ub0HhoV2wbLly4#77i^D(j~uatHksL(dg<+2ps9zJ1gNDMt3E4%0J8#v%K-V{g z1@EG&9lKfhktQy^sDGKtZ9|ymeKCt8*fnvzJ5x~r{ADrf_72b8zA~xqy68!#sxW|2 zRVtWZ;zCU2eF5Z0PalkzrVD#of|RUkBJSa^mK139 zkbPB!KM%dM?S9KDJuGU~|^9(dZesxS&4GI*T$ijYzDyCgh@H_-|)cs*!{ZVhq| z5h?7ZpP%Y(fNIt%(Mp)*(4b6nR8` zwAt~1iy>?$p)?y^lCeF%_gzTjcUn z$ugLjE;;y|k`$dWznT4Z3D``ZR($m9NYfrBxA#G%Tn|UVqPdco{DCl4($v(Hv-cKY zj)d%(g|fCxI%;ZEtB&rr>}Emr)z#|dpP(~Q85yc~yDNaVVd;@{%?TrSzYg?2WkVom zk#;MA8YC2>uwg)L9tQ5)ebx;XW!_EfSy2@<>?Y_^o7OhuCElFBP@=V=R5f$qyzU`} zCK&4Qw+Z`FGNH~22vF8!I6uFP+WkUHioo@pB!B*IUieQfsbZ0h5rq;G*GK)0OJVem zOR6G<&bwpxRF4ChyV6Lht^wZ+QpL2mVW4Fi?G8fU26c}D(+GZ<9ad1fj!UVooQh`6 z0Q@7O*7?LkZ92q!B%L)ufTP7_m_OL(deBgzH`=ta<|U8o7F1xjw8j!NpPYAuaZS%T zSqIe2WbV62y)ETkPy{|>3UY}O?*q`R5)G`lsVba!`C21T=`3fYb9%1vc! zb4+RMmFg5$A zpFfU2}Dt=GyHK*eg5axLPfxpLPX zw30kR1;pes`Qf!iviz(gxbq=HXTpVd(C{Ktdc~d^@76s2T}c>G13D=7Q3M05fzQH( z2H8JbRGHgxT9E|w(sOa9X>3QHJ$5st2+C(zr$o}Sze@j#MQFD$V~MoXaT#i zVS6kjn@o2N>%QBpgi-K$FLRceqmO-{GvcI?|&?3r6bs8tjTPR+!s)02B6w7!0t*w%o(0LMs=wt`mCrii5;Rta3X z{pU$3;um8)Pm-P>>febJP*8R8fi z4y;_yJfTg5<77um>A2fqt2OCGgE^Usmg0WjsOEi)!(3gVIZJq||HpJ#MGmuyM1uuW zIkjB0mj~mJ@bGcy@sdd3ME3P~Ctk$sWYUYoaD-^}OkSEKRIj|)NizN|A4wYq3<^?` z5h=a=*3ILjZzyf+r;K+oY^ZcSlAX2-O>N$9%Rwal_F*??PwTrVNxmxIU!Yoy&r3Yr z5vy|`6!U9Xbr0JfU;b`h;0JkSU2wto&5;Z?m|M`{h9xVYF@M3b)<+O#Plv#TKm zU){ZXfJmN(XzwDP{BlU#?~yN-0{8u}{b7fc-XY;GPf6PGK21e=!P`5_)z=o`m@=() zmMo#nGsbudzDt$Hu~B&UGu|BRVsQ_RHPI>EuLtBes&GBK3vhXNAn@3)7~y#u7eVXA zxli8U@6U)Cp`4U2l`gmy=o@*_05Ipd(yQi@ww-L*!*6^(OSe^{|?H$M)*sJsdkPya7T^>8GNPbcekL$f5`ZYs5KL+~3 zT8z#h+Cc8Hv;sa9lc+N*){WhDEB)AZ_GujOdzBSN3ST6WJ~cSSw!(O8soThd?Ejgz zV5KR6E^Wj0Vx=GTeIfz$qC0Y`xIeCvfQt}`EB%R;3H%UO7E*0F9l4SmI_&!5={r3l zI5bjiWhLWA-VIJL`-1;1uPSSxz*%&fhV5OjPNZ0gETgYU#`(Lv+#0S`>f$-Q-ZRgc z`kE@jZqM&FOd=T>Ldk)sxK(1k0;5V9%7cHm^$7D<-uH%e{{wlBi0Z|D#O0TkP(9R2 zS#rUGy1&Stf9d855h4V#q&}#Nn>R@6m6~bQ)_+?hx;+z2ASoH&Bg%?f*z--HR;e?V?_<^LG_-=TEN_JPdt1jgBKT4Y{4Q{k`Pld zQS0uC44TtNN~I@}sAN&h)HYdI0)rX6emUsVBEnGo1fCzn`i6?j0r}z5 z_c7sbg?^zsvYXHC9_zcpl36b&vsqBs*dl zy;&xA14|QpTQqP;lg^UX>6id%sh4yppFVLB8r`>RF=f7-zxn#^BYlG@6ue=QXsUXx z8nd&9&HOxs=y9hSerhMi{QUYW9t7x3D9wL#rU~Wj;j3l2Pi7rGT_*Tz#9i^z`#Xb` zn*K{Z!zkK?1^9xye9H1{hnY z2S!F1vr!gz67XLkD3Rwho!X);eOdZQwyS%}+Pr0W z5ek^r_7i_qDdz;B9gz(`o^}Z5PsF7n)isDTD>sth=C62?C@&y`Gl#|>)~DwC6DC_X z@z&j)ACR$#^0tdPv4r0eP2j#WT>+0+Clovxcv@e*RUireB+INWcU|?*s%RTdk zrmUpKVkF=2@n+^M()aF@&+Yv3_@VFPt(do$y1u^RLcC)&7(qgQ?j+E@JUjdRrQ*V6 z?e)di7QJ_H@Yz-kDmkZ*u2J@ke54v*Yc|P&#B@BN?vW~Zkls*_i*j6Gbgvsi?E5Ip zWwcjiTrxfgvHqcxX@-m)F0z+`$P2b1CHa+b&f!cTg_-!%yC{CN?6J#Q!RewY;xT` z>+|$_HyhK&aa7!#RBu)cQmm=}jnV~?f$lOj)$Y+e4@A$D_?E}^Id*YnJCn3#0JIbXg{&5UtxUN z+7+gEz5YJAH1@Oqfk;mXiR(-3tr}P5eD@E1C_hflz zv;J%w?vgbh&Sfj-)_sujSC%=0&CHALgvo zv&{0?HJ@OSvy{aR+=B@}KZRP?zs>~m@bW6soq!P#vGUbYUtsOOWY}z@KdoREw<~No zgGG+a*KC;j1lW7!-weal(uY{jIRb|Tc3JX510$hgcrwA^{kVl6d7@R_{4Cz>*yMYb zcwss@-YkTZ-ZcBKM0dWruBn4~D4hO%sRF{rbbvWjA{tsbs^lkLT|L0s;c01Jx8B zWo9231_+7!o)aO!e5Ay`%JjZo?<7{BZw@v=5WI3%g^lQmucZ9ZZ%o20rQN)l^kuLF z_g*DM#%T=?cJB&bKY!70>#s#CD5%e`d}UegkRR9*5-vk~w0D@E)llK4e3^f2uwUx- zviz;W9-vpWsgVomD@9@Nh`T55mkfkf- zB*EUxKOlz*p)~66)ir~I;}wvX64!Kv2w{w9{{Rk}aaG@&2{D)1o1YqUKzWh{CS}Pn zP%P2Cn$+ofE)z+v%#i8`IZjrq|NI%xV5Hwhr72=($2uuDFE0pK45V%Me_@kkSDxZk zAe;3@7c9eSUl!@^`I=(0p0Jt192ELC*S&-@hu(*tJydx*{2R`*6C%3)kYpC|b=Abq z#=##G>xStmjt}oRw5J#zcUfzFRM{qul1vm#_i9N%$c^ki{;%bGc?+Y&WML|z_h)`c@oS$S z{t$I!0{wr|%eFK1A}(-dj`%)sYH4c^oNcDMU@9k$-cFAjlMw!;&tLg2)>Sr%{mk_Q zTi_rOPeUWAn6TbUd&;KaL4zq7VSLkkojJkZG(WNV*|p(vOa~7FFIGC=LWm$+P&~oG zTzCsroCG`uZ)_tt{)|i@w(cxUOsMk+^_JB!s`~o+-<*qeUQH$a=D3N;xRYXz-nrdz ziMa1~s@LV4#ASnr=1*Re8`fyxRv@!7GJc!b^~wlhO)Ismb^&uzzBk*4`p%kW2w(H7 zf+BGq9rw|zF1$fd5Pa~T;T8)(t?W-TlrhrSv>Y`<&RikCY@K_Z^kTZ{$lGqlz?lV_ zp8kb?hiebM!tO;!@-u_|isG5O`~IpkomeQ%_P+6QN!m5ZDrZ4O6z}|{ zk>SJb`nFS@8P{3cfGwy?lHY(527<AWC)FwO?w&d z09sFEO6y|E4F$@6+H+0qocl9Dm+%?9^flidVaz3^DuF2( zT566Y89l)?ldtv+7%T%bwL`!39F~%KeoF-Td*3|4JG?%tnyEIgH*$8PGq~+P7B8cW z*AjED{9XGLmA*6G(e|qxZwkFEI`=_YK}0jAz{wta*VoDIf$f3Jub!t;sq!g0D`nnv z231dD3v?xV8Qgen=ai6gWYx-bZgX;-+`V!oIRi?F2(AL#)AqM#%U1$_G#A^wA2$wu zI##M?EBte42qW2gywnjNKMGDztPkSsd4`Te|I16|y* zWzx`j**h)|OVw^f;x}Jw*9`Tyb{RaLgsL`<8gPWJ$ZD!3NWW-Uk6z5m80fq0s^Rr2 zbn8+7R>sziF|t>zCzRd$NS9N5|X&TYbY=f# ze8NfEoZwrgja{b&!?H(uB#&AWGw?A!OX!S^l6}_T4cDAX4n}DVF`;Sy zthEgpw9CP0aVctItqV=)JIuF5d#I@nvATX!^*bf41Aq0st_Qg0$t+S~UE#9o0nQw9 z(7!9B`Siix&mHxy4$#hMiD!@E;ea%EUCYYG5nNb&tHYw4;BUkajFNZr4e#P zj$-Op$?SxdP6RBO16Qm6?pqs%LPK+`14Oo)u2r_d;0ew+va@hvyk=4nMSXV3cw;(w|Sj@*U z{mhWyJD$k>CqKe}jRqCOaSP`0B1y*SE5zUMAsdq zzHkw5Y1jYm-aC^eN8_V%@1fRekhSl{m&>^fQDn?C4?}9Ms5Wq5VWfavr5L3$;`psy zTE0ro+!?N=qYcGcl;lf-*V|woXlt#T>Xn>{YSDR32_0yM5#tCUz~BJ395*~;W)XeF zP2o~e8$@qD)@QeXqjq)LpLyge5ff=L&90lttrT9X!_E;LLV%wDt~jaw-6~?3QR7Ij zzCL&E*|h3`1{YE-Ck7$(b^bN}D97%iMQyXD*98 za<_dPT8=*O(6@NPoyYh8_4bucL+##cO%^?NFyNKAuSHP+Fh# zattw3wQe}Pg75o{dj+}@cR1U9{L+U3Qmy1H7Fkgo)XgPhB5}$a7mpD%M&1u}x(#xu zCPr515e?T&G;9v_pS|$61zmrbg?42uQIwzi+TTi-n=f3?u@jslws8*Bv;f;~iUhbcZgDf+VKOR!nQ>V%L;7yEd_r zpexO(rA{%*BiwPOqAw|9cx`i^K+;n&?t`$L0+i}b}yHIU4KFn!-$n9nVV z(^Dd|FChJIF01sagl)f);S<~Yk6{c&ft9_P%3ghgu!YV+c964PNl`ehg-fAqQO6-P znW}3{MYUOYnDQfSsOaZ7F41EC?YJQw^O$K*T zYK6L)c=mp1d4U1hjbu<*xWqQ;P0^&U8waQ9XvSUA)+ekKnI#a5X>Ji`#sYz6l%3#s zI>CqdG6(a`-uwDtu`KQs3^~~!vey?MIW8!%v1leKkH7VDth9KJ1Gu2DFbm|4TLAa; z@3sIoTr?j=tD5Kb??c7N88vgG97jYH6BYrNdwW}d^n@+*%t}L|v<+(tJ_Y=Nz8f$I z4wN5CtzXXBX2NklE=QCpvSgDq53f3sXEVzBu{pC_YSW|OHJFgbL-|dJvr)Df_N1cc z`9Ft304K*s&m8}AUo5OKVb;re1kJK;=G!nIC+Vkc4B8nTWh#n!l@a7+oNc}V3a1K3 zQ*}!>;`;udPj(TZFIf(@*ffrZrzdxbZfiO;ChI14)+*Bi#6IEN+*}shWg$Y2YIiRu z5XP)JIC+Oe5pyPjNPE_t-Q@!poFmPn*H+pGv2$bPb?FoXY_z36CARY)KhY=2vM~N* zSJ0drLAdTMaDh#sa2njPyj3(2GWQZEPL~b<6BtKI4><@uscz?Mym&LY?q7I(-*`1X zb=Ri23A~zU1b?2P`7=O8F`Y@_2ejy&0vUU-hq5O{np0DpT^G;V zaOYB`ylKRq^|Z-A@CCbj`_UiSj49Y2vE}}Q;Pq!SA++(6R!fifPcA#7MmxPcsPR*@&kJfGpeXlKF~ciLgxjNw(d zbl|mj)gGHSL%k+b_+$UqIo2-uFo%0a(8}2(aU=dc)7N&q;dw_*=h1J14ZN=eVuhM_ zHaCM)kRBhu7@|nb_=_6r24{3h;=o2!@F;+ARD{nNk%gIAkqYfcmhKcyN>UR37-YyH zH4s-kamK1qx@F3)xBa)61zI!c&aScE*#l(sC`eu@%hac}EA$a7uuwsSsO8FKXK(LM zy6JIJX1O5$g}KQOVq-LPsV(gA$JU94200_I_HCFM;ecU{{Z-Sd4XSz0;fmyNW21K% zM2g$vfamSiUSD6P1$?(W+T>v&#iKNbe#|8j;pXlP0(Euu&J5=0F)R~H%Y=;g1-Jd; zmW&bVn)y?oq%Y=Kj8OeG6Vfb82hSHLR%mqK8fY^G1E0L8<@$^7a|qixG1!5QdWuBy z&f*zB;IR*R$uR48BD)Tti|$~SUB3X-^w25&!bH&Q;hl zuMIrlGWMp0E%(wDY1xCqPTE!?A3OLE$4yub=9F}?kI_v8)y^<~t7rN$5$u>_WXq+% zv4VZHW4CJ@SiXr;q&Z)28*fS$)}#$0q_|!3NBt8YtMTsxq)dFc22H;2^8icBjNuiM z77hlKE%DjA?5>0Skb2S?IwjHVm%YazNIYY$>X(p`_fpJDV@UoI^%j(tMov8rNsA}@ zN!b>*h`%$B`3}Z&_b?>G$)*_Vrkh|zKO6(;TIHy_Bp`!p_b=UPflevMrVEhezeUO-an<%WH`I+WGzWo zCP~XKB(;>02J0$-6i27;0+hNiGMK5MIFcpAR!xMjyr%tGDe*x959i^CDBl_Av`-2o$eu8- zrQ*LRN|0USA$3KgikD@@T*>fOZ<2i%YoLFMs25f?lcT_aW}&~+&%E&2VlL_zp6Aj& zvL^^a%6WX_X)-6eLr4lAy9AKisJn(Vt(~4cxmv;0RBA9Q#{Q6+Ae;VDB`CSlFtmj6 z6LV~1UWx}2>f4cIM!2=-KVC`PTXa;JNW`CAzO3Pe4yF(r zR=ez4VV3@Sc5wP`LMdcO5(?#bd1yS?6)2rimRX2DA6ZuvC{;$4;qe5k;v{$QMbo0L zhi|I;83MP&*(cfR0V^ij&50WuA&Ijqq?7vw03Jer6^vBayhint^hA%<{jjc5fs)D~ zf|q-%;~N6&w5dHOe+Ng4D1Xa586e!a`nC6FQTBz z>_uL_PovgfNAnzgW_Kkh95;NF0?C@>MOEM#N7MSA8*qC#Y9)~ca1QUpCo6rul2Y@Vc|lzD=C-V*5~AjuQw#vFow`^c}o&7^zasxW-w zb@ii%Bt!-TODhOQ@vFr+HwOcQ1szMFQ(wR9TIa2OITMx2>F!W|RFa|PWUctuZLCN+ z*<$Wv&`TAz+)CWU8u>OtOqCAE#;;XtD`vi}cjL(+|7&J|jtwj1y!mWgm9E=?)Ybv&{xALg%ZgrlVT0-$$tB@ElDX!rI9&GH*vkEDBBd8Tn05ZBIXH$ zyI*T_C4XsaKBqTLNxv$vh1plaUFJ*3n-D6ht#63Y;B?B$?(I>_uzrk2Pkg-I&iXcA_MP6BK5@>i#`qGk(f!jo^05Xx!OC&d#EkqIZL2aH znvp5OOMI)0mLi;O}{JI~j$PLV&QXxavYD54A#YCf=QWavJQA*Ls z+~VkNpJbV}70AGNv1%5T?w(feMZ*dE-Lshy^Vwkss_B@Zvk>DOMC#S}MmZk!@535Q zSGXg=ygWj#l&Rkwhf@+K#|HVGDmY^aK8}(U!?Sjifg#Eiq}vC+_+uH)Sq2_L}*MccF6d4?D~NBrCW4lrsd_ zhpzGU^K*ngKkNF8}zDZ)AtW8a{(dcq&&)%;okd}X2$aU#Ys zu}UxJGxq_pT>;Gpr=1Ntjf812FBJMUE0mFhC$rz8s_th0W^3LwD3~N)Hn!p!B7Qv! z32PFGI`buUJL#&xDN#?cT2owL&DcURM((oz8=TTB>j6n8N=FSUggAYzPT@#bA(P4%Nrx@^pB= z+r{2~*GS}EU3imoXMx9gV`7e|RfN*oxy|e86#?HsIqV9tdF}LmWM+n2ADg*mjktn= znAEO#=+BRzQz0fNr%c4|q1n(A6b9iK+Pr40Buwn<&7M$DUl3TZq8+bRJGtGD1Z%BT zF}X)3EBPhQ5?S^0yivttpZABc0XCNJx47L)zoZ1%D>N7mL^2I{ zi{&=Te!DNJT*5&QBGNT(+>`3udUx&I#DSYl^Ie>o-ddGH3`Sw1`AxjapNNtL%aHf+ zbPYt@`rpUS11ZbY-m2_;|Ricd~h?b z`G6CE8&XJKGpP8Kr_;W@;bKfqzd94TS0ER8M-YZseK(B_iO$f;539al+32FQ-hV+63y?l!Qzy7Z{GH{uH`D$jgkGmQ=;Ri*x z329C3Su6d#auoOsD!lAw>_pM?{jj4VC;IC%j^Y~?ElMERqOXGKIl~USNkx<4FJlJa zBE`(|be4!0#(0|*4`|=*tG<7{@o_LsxRQsEPQhsBS`1bl+T! zGn;IyvzyT8bR3bekCLULY?oA?p|gKjc!4VHuvS<|2I1wjshZ^_-0q$Gn$hJjJLPF_ z!d+zQa*#sc6b=l?I6y-#)_co*Z-%v@Yoju`<uR7^+81>E&f2XPcgLu+H4co-HQ8XY7t83~!gGzrvQzZS8 zV(Y!3M|?atX_a4JR)UK$We#n+SJD>_70c`nUVT!`;_?F~-G)bE;dRoR*7MmX68Q~^$u}sbt4FQ*evh>kJ8S#T*^By^x4tVPd~;s?ns04^ zrdz2OB|n_0{a|h{!1)je^R|7B3)3wmKk)=7BUn_Oxs(4FH%b&E|>#(N216{AE|jssLVOb4-5wpd&{t>;yx9}%7`s7pdDpkrn@%L+Ah*O4Hl2-Y3F3S(sHYdZ=Y)@ z)P+y5T4$Se!|HA9)C#pU8^+D+S`Dot95Fa(?SBN?WEW zjWLGpoiB59xLR)*MzN$G;$yNRf0tg%P`dX=$y-+>$an%T;ivaWYdZt18q8JD@7?#hQ~ zK9+b`c(D{8)>hcKpRwt16CovUUH6@vJCm03fBMFpnOHm3$)#1LYw#q>RGqaFE2Bb$qZc)gTrqC|e)BhG28W-7sC?5RxC9>W zN?Rbd`@Zg`_iJ!w?SK7Sz^i-@AUb@-$jUkt2mwONCQgfcMAdh<1KA{=+Ol0MKB3Ope zhSS6^l0u(RRF?#qAdFJ8pHi8!pUYRsqF*2{cF-Pd)*&?vAvXBBQ7b2KrfRGx?wE-D zPF9>cT`Nh6r;BGdF|4!HC;a4FG5m?z(R(u53`<0-t%dZmjJ9nyjC^VLN)&JvlaHB zLjtKjqa{<9JyS_}x4fn4EXyCgyFbcpAIfGQs6gz4_J#=bt025zLLJRRXlEpMo?)p3 z7_z)-&ChOo5fcw{q<7Ti%A9%#!S~(25m4VmZJ)8de9B;ne5@KCmeBQODJOD%-kHPM z!wN+ovNel{a}S10qyT3OOvlyF_VETJ4eK4o38z5RRfY*NBOEqFUr;~heo0Y)hb42d zYNvU7f;-OjRx^y|iFROJi9gN0d+5%BBjTJ&i7_3(rm+JRT<5Bj%1&U z!h8L_nL=T*EevncB6R3ji)Y>{Cux?Om^*d(5cAwhZ*6T?XY_?Ny$)loWlgPL272i? zZ0Mp_gX2;OHB>zQVA6GA)8ghMs`0ZW$Beg9ufpZOQly-Ce}MAQ;! z0oa!Z8u6qcU9jpU7hpzWxrrA|Ma{gbb$^0Ou+Qx4`3skvWyHZFsVaujC@ik1DR4*g zEa2U+-Q*5r;k(y!*A$KRQ)z}zPlAmvRwGW`-qH)_Lt(zsr^KCi8KB^q?@E^GTYLP(k(w zhfWA?SP0wc5^7@VJd|wP0=*oam!!dy{BFl1*JN4b_ikoF4y=rk!O+9Wr{b7kPq{6RsNLwFwsq1k%@iX% zyl8sbDrX`KL__ki<#v*Ty*HAA3d6gt!K{<+wA+gExc3_kf^=v~io>VDyN4Jy5`^w-u4=~~k!29p6Dr&N;U(h*3 z)5GS!nj;MLbEj-mk((!KTVC!xjhRiOMY~xgj`cdZrnHfefOl7V3@xIV0e>^j;=s0# zvy@2Uw!(b*u}g(mVxJ~9VNfH>qoE7moiBiVV6)d)RM%FZlCxmRnl#Sd+hMy-T1s~2 zu!I+PL1hyw(heeDD``e(x_;*=+#q z9HxMSaSYH-(KD8jjGLgixH*x(j`1jUQqn^oVfxT?P?_Bs+4?N}<%%ZHjngAn&6yJc zgH*d4p2K%_SV0D%!WQgSm0cC`d~}9{Z>8sZtL*h6)0ed;MbFlI(SyLwfSf4K!`4Eoa_woK6`)%DiuA zp@N+(W@A*9GrPw}8F#5bdPG!NS@{@rO-6v^tK`nCo=`!tbyh2*hG<5~bU{%a=l+on zGle))OFDHUZ5j|6rwiv}RIA63Rg-P|R15k&(&d2GW*L zX5=MMzgi8t14vO>z|291LK|6(e-lCbA#?VF+)OtB<7f(G(^w39fb0(qU1ai{`g}>V@#Y! z6wj5oeQbAoBHb^(EZT0ZD%!o0#Fmjtx3gFAY)G97Zk*IOr`SyIdl}}0Zjc#uh|$0Y zvbpQAuEakf5}F*QK2tx;1IiUhmk;Dx)aooL^ggM|OO1z`Iib^*s>i>;nJ(Svt&q$@ z8;GOEouga!C?*P8@9Ezv6cwLL$dlAl=|%a<{<*bkK!#oYdwg8lt3Kw!r8cRRh+01% zT;$DCAGgjRS7BkqG`n8v*hwHlP>`AFLqkgoRj7jv1iW-6G))pU3Yk=~hep`hUc!W; ztL@+E)7=?=oS{iw@3dO0T@B-8Aacr(^m*RgOrg@msTf~ZY0Z&-BqS@ZAdRL=X@0&} zq!2^&)L~L^=R&8VC?;bT(aJ9LW-hl&QLX!{eT>bU&`FHhD^**y75P;L$mrTHM~Z8f z-#4;)(QYF`NF~u;y zKul<{P4h_d8e8X4!dHy|tjXA9K~Cx*yH9YvD5hDHl=1Qz^{4XbE(bN3U41hP4dLHe zdMN8FMhN7%x}JR`uHLDHE20|oP%6EkN|^Bi!{l2Ye7U9NcA%)CzjWbcGZdi7-+vSyz!x5w)BwQn&|CQi#a{PT3zg@~A(NKD|5^nY zw(hf`t9Apsdal@KwOva+!J z>Ptx>Ts9XzPfgIMsjjZZnCxm#9B*pkT7GI+lKX}+ERvXA%|kvk327Ny*JR#b*9_%_ zaEx*!dRAwZ)%H=C&;D{kxJ~l4ZeWSzuxuXPYDARJG+OscGh;ZN0q9!29& z#*-a?UWqseiZ`BvbP=t$;XzU&b$kF(76$+Ft2PP5Dr54ev0Sh!#B0uiPmrEQO}!4d zKCtA=_E0Wrtx7mzs7b&*EhUBNIisjYSmR_oXDBU}0Byi{UIzhO{@Tz=zi)}414zNk zt4k4bEJeN2an;L&J+TLX7eL&TWnOX7m34o7 zlznluA*ls$!8w3L)`P$BVdGU$2Y(!ebgVgBUteEHNd_t&T_*GI&BJJ(vsrsnAPK@m z9AvyKCxuNRRSt98GWQ9Uq29-;ara%H;3DgwMa;$~`oF>+h>$AqxNtF`qq&wL6F^3z zr-qLxRy>Atuiii1<4_#(f)}W{LtYFjB8if?zJ@BDGfjWO*P$}-0rK=GOm{$M4Zqq; zi5m5u`f^__1Q%Vw77Kyv?R_1jU}j~N2c$5O8uCQZi6B?HP~uhmT~$@(?idXLqC)Yqi1CP#P21yOJQ>|k+%N6L z=nqYeNm#ir?990C5e4AG+t^|SaAuyVn|fRbQ?wpHV*cRcTSJZ7>ng)Lpyb7Bcr|PS zehvC}C zABqv!j`3QH8HlYk!7T|oy)A`6s5a=3_s*8)m zt$==9bvvv6npbPac|uIg?E(on(Z@zc1OR+QL?~DNi;FSi{C-P)z1m*LK!wGN0`kS9 zi(f`nJ*sBrB9_`M^vk46zr!0HBf1w%jHCelEUULmn4EfKkw*_zUg-a{sX>1R{XIH~Hi*Lr7}WGJI0g_5 z*~{%v&h_)Hhc$X#@(%?6@l$QrwFEG_x4OCp78jV&vm}@aA3|q~A*L{l zDImlwoyzuh=sC|qi>Lb{Atl)dVKDju4;ObBs_X_7zY{pi)hjYKv4LQTK3GgxMe7K&uz;$V|}x$EelPz^-X{1`PB5a~r^O zymAJ_Vb5C#i;?Chm?C$4ZHox$ zK&74_J--fvdyw~z3v4Z-+uILqFyFuY22y3z@TreTzR9?36o7FHgAN;M&Ld!?fwHU( z3N#@g`+xxV*YABhRVEtQP|)MQGV)Kk{`z=)>aYPC3o(NmIY7KM<=TrEDsu*4RA2Qk zemo)_N;XcPel^p4HZNIaG?2Z#tWU^nBo(z$4|{*fXdSrEezJ_-V*qi70q>h}dz^nf zuBtm6OD<^w#8vFRbYs2}8H#v6FSfh8>xjh z5D2tdPFIpgrz8vm3DaRPt`Yvs<{tu&3$FaXFaPYZ6wrKh+Mg#D8vx@Q?!9o^IrRSC z;X?q;=&OTVU0aLg-X-{OuYO^$Mc;qkS0C8Ke7KjLcmI$#ufQTcd{PU1GR3@UNCSM* z9|6io(=T%d{JsY__BjkDHM*Zw$AlhPEfzXh#1sJ2_&uKkahnKYPL+8B;kb;d@hX50 z0dyKsqD(Jv^nl?gUo$=GAC8+hJg^Aa?{A-FeIf%xz=#yU+nXgy>U~<3F%0%scA4+E zIFqK`oabU5xLF}!K~?b5Ae`i( z_~pZg0jt7g{5w^=^>Vz-Z_oRDDTu}U_Bzvjm;ofnf&gR`nMk*J0Tc)L?`{_EqycU( zi}dci8#+}2iM#vL36u_c`z$Bu-+4Xc&*$Xy&J$>_$m9NoM%Rpt`!RO_pQEI$J-5=b zuuoYV8ratna&ZB$M1s)yIZ%1jbnjbNAg`?wWoOgz2cfcfj{Eqb+6p#-3_68q+Rhcs zCLLwpNEHMFSJ5R@l$C|+X6;bNCnpuPwTaV!(4&I-K!5*NDDTYlEIa!pR8|pij}+Do z`=EnfB&_PbqQpAV}4u*fcRi3F?0clDDk zC+WYRs0}z5@w*eAIBX<&v1H9gQ9mC3LM)1L#u z{K{WfP$vS$H=6)~)I)aK>;>?aEPlWIT2T=LJv5df=e)NEQCp&H`|wa2G`xQ}!+&jz zHG&I@$85draSvq%0=Zt$YeP#T6%{;f&y(?EK=u*OJ;)AY$WBcqO7;Ry1(x!)j$p4H zkaFvLCA;7a5TFhd>c&0hC%hK6Yo;Ex(O^tgvYDCLxAJniG=vR2XmPmRKdkg$(fJ&V2@v5m~`b*VLtGc-Em6*`{jwLxOY}vJRlUa~(-R2c+h>w4)g)3>3XN%0Vsq$%I)~{kDZ+D{BQFxuzkU_gGewokVMSA1MR(->?zdG zM{@45aR52h+>Q|dc@%Y?ccn}NM9jmMKXAPgw6sMzqEUIE*r8};#h?uWcVDK9fRc2e zMFDpMk@b!>ydAu|jyeujB}(?gT4}FDuy{%2w@}$E*!|zV(#?RVq#__)ib&_sDF{e|(v5UTcfUId zet+w&_YXXmt~G1o^SPgU?>T3mz4tXpO+^;>8pSmf6ck)}Iq63zD3DYX6x0+f4Db&8 z@Ch{v3KY*uN=nT}N>=Kb?K21U=TA+{WXd{HH~kA4J*$O@a~#0{UtNyqg`obU=Zz354L z2pdH{`+VOF;`>5VlaNz`cQ3AYFFWho4=f)TP$_2{>qpl%s9Pq7_R9}0ELQW?WKjbr zUJd8oZ>OCxLpdjDE;fKeB~Dtghl~%gn}lr>sb`43m7-|hOvc|V?umQP9cU!O#*`g; z-ZU17xk$IK3&nKY9D6Immzl>*+ac4&pA)Y_*H`=U#J5al!lr5LrRqBbm-me+w2J*0 z7Ki9xZwOK}=f<4^3plJ0%>)-_l~&kWbSMVZHLo15ZHYCRXnNM%T5`(D7Wna%HKRYy zf?(>Un{$Imd&|1?Y3V(q#B0tzj}osh;NL-+o?&4x^f;iqQ>bjk64()@ZOQ+AJMge# zfz%x0z0Pi7B{bA4m~I{{!L}YUyG^K-A=adwl^i2^X2f28qlI4dwPE6Qr&ccK)4gLC z?W8!YnFv8L9EwnSPOZ`{$yQ(OQpV2&MrBUE?`FnZmB%96QB&$uDCX57sUp|(#hOTB z!`fgC0q(y^xSkM8hg0KQdFee#%eY3dWchI^-SXq%!1V8_M&_e)lyVL0^VZd+A6$}O zF6cIUvl}-oHR)=u`?y=?IQL?kKd0-zC(kJ#@$&E%ZR8vmIZYaM1Y?`JX{hNBAq70X z@6oi5raP5C`rT3K9;FC`)PyX#O0=9?n8r?*^fW7^2oMbS4ENZye;Bei6!Ny$4yk^i zl~O(Exa@S-g2I~JsdcnJ$)V?>(P(j~&}dOW_xd@e51Q}lm{vL8DsQLOHSeltdQGxB zqAI3h>Fk=ePZ4RKbojK6AygeG-j#0ESQZ$1r*j8w;t@7&2N6^ZzO$2aV!yf_QyfxW zOu<_Xra2sp9E@I2Ii|>3_q%WK+N>9(6?_^!ohQRHoIcrRrNhzTlO{Sk9vqdUD@yd?tT>MmFZ2ZswSRasQN2 z_&~Qz5Pv!st@p&TgCA}&Tf2dhEB3{0|B)MGlkpVf{=my`4ce*{JvmgXdwOp6^phyV zUbTi7CubhsJ81n=C>5y}XczQuIL#)59Uwv6H+w8^uB?p00$yXGpuVv}fr3}4;2#C} zhs-6At9Kx&sc2WPQB#l~T216OqM*P~j&+CILy!=m@B)|oa}pRq^$qDJ3!!g+hI zz}Mi5Qrt{%k?jaKxv-0^eDLmu?}eUy)iT3Tw`(0;B!hB0Yma2ij%)o%(zyF#QnAzW zBf*WDow>qqc#6zD)f;uJQy1q4^Xe(bQC`1Is1&gk>k3cm_wt_6d&--bq?uIBN9$Fc ztgf!AH}-M*?50t*J)pF^`~9}7z6Zh3)#z_T!t>B5Ob z1C_In(>e)C$s!{Nmy@CT^MM=@ghh{wndXaOR<@B@Fg?$=UgJ_mTOI@vGkPd1D|b(A zAC66(M|&x@SDrtAu~oPIq2TkOBkI-MZ(#>~!8uH$E^ysNOm{>G(pCp&$K$27pa3VuiO{kA2vx!=M#+F-*>SPJZmJY3;*3E zc(oVk?-Ed;#&_GE9&T+fieKp92`y1q&P6EBeb6?Pe@Dxzl^ZTg<*m`r%}mK}D~D}V z?^FBOweTE+fSBDn&#_?F?OfS$vD^8mD~?B2S5MFTnQKY@^sjGk6z%Nt*mR1e2Xl31 zPub5tuxbm{A5403&fmFclrD9CY2moD*yFla=%9Q1;;6?rSl0_7qq?=Rv_!zV@e*Hb zX(j$vY*u31uefey6tV4AI(xZ*Ekzft?t>}cDR*-GYL3@DEnr|JBD=j(Z&ybwQj%I* zM(r1qTwM%K`EN<)6$NprTy1V98owDzosfi=Q|JY>_e>tV6WxzpwLSy4O~%sxHJ^p@ zVxnP?K6mzkC`sVtGvAXj>070rDo@T2zl(becI7C~7z&m3BY3?tBs<1@FU|~NgQ;9^ z-7^lbI5^>`#5v#mhOheB%qrRU{AkiF#$e&p&|{hYg4ES(HLpDJf^SGaawf&AXsv9_ z18k|qT72KbZ^_q$3)0h@5vRWUh!pxyW-I=_hriy`b_q<4r*FiJt$g$!nuy6t41)Hl zXbihECOJjSE@hZ?=GUJeODnNv^z^{vuavB{Ke(IW5V|9O@Nzs#(wmWeZ-c^-!{M9!5M?YQ30EDU%YK0p+U&F z?=cg^sPA>rW0jG#P_;?M_L!Pwv?=$s(ecli(247@2`M1yK{IzyJ8pWm&+Z)Y4nZ!>s*HCn}mbckWl>$opPWq;i{zi~vFgF7VO zc`e1~c==OfyAGYFj21pZdh{;UZ2?yEN;?~y$okWH&QFlXZ|~1w4JjvQCC2^a7ANtu z&-_+8WXNhWlE^X`)lp4rXxwNQ-?_jd7*b#}$qZ@05f zT(>3;XzMn&9=k7rHlGuN4(`ZnoQU0SpL%!hT_Eoog}%0=?> z2W#_4HAk#-@|w)uEgTrW+CBE`dQk4h@OproN&Kiybq?(64|5Fxii&>QcEl#S7!|&?$MMbd;)<)iY0|Ad! zgVg*(WI{+Q^-s$(BOU*Ndv+`TEy82989OdozR) z0r4cmx!viyJG_5dS)CuVmdjX?IRKja}0e z=ktkwd4bdEy|-;IY&%y-^=#iSt*hdVIrS+wH})m58<_Dd*`<%q!e-g_bGYaXWE3}dDa3@mn{N}lw>iX9Au1|G}lDxJyU zQU}!&&mvQ8x8H5pR?;Ncn#?}p5zNWJ<#Ssr9eU*NU1YCF64#;CJ(r-A8}C+j`)x#$ zvMqN=VTzW+@d!JPS#=wf*Ee+*^D#b$H^t~+v$E8^E?{)?MmsmqAFBer888HJ)+cY zo;P-vd3C?Mc(jQ*;ny?b*XJ7-=bR6dZReF#`l=@D_e%@t8JtFbUkv1ESC^ccIGpPD z*gbxU-R5MWlp9)yC@S_5U6T#y+VlmJIk6SW)BW6ech(``5^tqSVnvx2Wzd?>6rg3_ zw^RG#xg2Wqta`0%N8_eDi=4-N{!EX0N2bNr?>i*<$tt5;8d3B!qe97~U#bu8p8l48 zmA^AI?@e^RnCSR6gJ&(Nej@E8&l408DxzO)tMK@Y_0c)2gNl%Xjyv=-BSFEB77H4= zn#IRnyzYx>avi}Kpzci zvhGLG(pCn>gsntp7>{uS@!yzGbAk|dNYppw436MQo0F8v3%`6(x7U@M#qZ8UW)bPl zR>z(+CrruxqcuGR+Ldi&mr;s} zH77;QYXaNJa!POJ%Sl&WC@RX~f4f&bb!MMV@_ze2gzZlVgCjc=;^L%uTN>A~q}D!?u6 zW?po3zkj11kU&Azy}hQyewC@=ux0`nTuVt^jo=?}SGx^x`M{6vexiTR@&CLO^(JKZ z*Bh#6Mb27{(a}+l(qZp|3C8kC4;#)4eNo$|hasGGj|cPgVpiGDT2_Dmj>5d-2J-=X zD0qEn@|hRyzoGgS5@NkVIomIonEZ*DmRdacDAh62N{HQ007R!KW82RpU4C{ypN22pAJ|DU_UN?kgI86tSwvLjWxi+so_gf3l`S z6QOMD(>J#lq;s5uPP+F^kqDCG4V6ztA^;ZL&n890nO=DPdPO$w5{G%~IXuy^Td?>^ zgTM4JNW!a)(VRxfn~GwB09DQ(uNJ7fDaUd(BK14~9+f@7+5_b{_Qu zw?QjY-|mr`GHyEOLzxKBYz zIiE&#W;yfym5v0XN+MH_$WG|vp(^Jf)dYTaLVK&D{MuRrjnBciyMkBhHKc=`YZqrb zw<{gy6_E944%y^U;>Y)#HNE;56cP*sEU4DFPfgfj*mP*8P8S5!N6iMZHMt$;A zKs>QUnw6i=LFn2Q&&Q$99`i|SuxZtV>Lhk}xZ5i!-EQKL zKYI6|{=&PioS5q0{(?rs-ZfscC3%EXx79+~0niXV|D+>G$&vDr43$^_`;btkSw(jz zxs0|QSq)Xy?EX~T4twS$^;?WMpEQ4Bh2s>o33{|!$X0ms*Ea(X{)7qFGQ6y=#-8T2 z`it}JAXP8PZn2Z!(z~E&bS(WyBOdxM9rzUzV0ObgR5IoYT;dMmha^PWwXVAAv)+oyHO z3$I1tsTVxccH>{1KaR!z*y$GTaZcB}MM-CEBE=p?NcZ5doc?V_vPbsVS*v-so_nW* zb%&Ua$NhhIS7V3L@~3C(vaAj{HV2a!&x*^2QOtX$--_WdVEOhMH}cDuFE@NI8VB)8 z*H4xCN16`WS1m~&>9O{+74rvS|Hp}B2f;M2^;%m$S-JL)0bvP)F@1+?QJA*>4^Pr7 zg@QWz&HsN$5kDf3Z=+GTb^c{PRIFX_)_&pi^?!Q>mI?(am>#Y~dPOgQZ;OJrMA`2D zSAqzbP(gynrjA7aR~q0jd_UMmz-|+RR3N(5=ZW>e#c{MdlXR{iVK2A4<>t zNK=s=?ASN&nWi9_SC+zLBQb$%Zv%)yyB~I)O6=ARg(qMJe~yl_n6!lY$tJ$ByJu5i z?P_3PP;5QGQqImPB5jK)=vi7)qH&V;Yvoz>uaW4^%|KDS^i#u15D;c-qor8A-1Wq0 z?69zjvN8MBvJy51*^^W*)OfqqZsP@mAgeL0FKM#x@|!+=s8Iq`1F1EC1K) zYf`mEMGrxPg%K<1X3tYp3do>?S?C?w+qZB3oSf{&KRTqVv;0BJ2vYU+RJxKgjc}?bHna`Rc_tSW(lo%>+%pSQ%+W|H(15}3ZS&U zL?P`Jc|us)3KbGECNFU%6{L%JbGbCBi6AECKdVkMLu*t>lC2?OF3qnj6`07b!Y1Gq z3WS%9o&2>&CdwXdHcYs>QH^rtA0tT$2}SLKU~F&`sQuD0VfAxyjiGTY{s*EppoQ@0 zVBVu$#jmTO&b6K_uv*KKsYB^MtSFc{>R5352HW!I(W3zwMhK3oU*0!vT@L&y9oRE^ zAsCfn{Mc=YS!&QssRpXQvkAKiCi~lPHfmnvqI5?sAz|sFca#M_v z15s3ZY-8`Ie$>CYCHy^@4?0qj4vDWDF6Dx9=k9{-63JJybt47^Qc~e1FG>X|yRL3$ z_ZyEb^(dT<9-|QMBp`{>U=eOzx7D zgku!rGV@;Em<-I1J`-WaT`27f9LuJ`r;_mK0KvG+4BC#ww0J9XadGgsC!vRt;WyFZ z;|S~iUfhoWA&3rCL3;Q-P*#8&J zWygbg%uc8;X4!BT!p>r-Be95bhOy>2GvWSyqSWVLDqoq%E4-xdC0X@%ZF}r0as>qa z)QG@{i*;V=Fmq;qLNM&hd9Z!E(fQzW|K*KuVNt^z;nGn=gn=$W`wicvGlL%9x?25@ zcfqzZLtr2t@pVHe-UkM$G0>nR2$}gVrxFuPjPFDr2=cXeLB@#Of8KqI4j zl0v!f!`yCRg+fEN=1Gqh(%r3cP?9$bl1sXQ{gq7JDydNtikW(@pc6@Ak=M|Hl;7_hQdwYB9nr}~8 znN?3D?duyElo5#gPf>^ze z)EMzEzn}xQLx+Eok|$v=hihbN5yxSmn^VJqWB}&nlCyy;Jhf_r4}DW~YDhqj;y8p0 zFg9PN&|P_uYZ&i96d%CIl7~dY6Vdy-?zBL3xpz&WmvO)c;vg$1(#RZg9;=G*;l|+Q zq4T=Tax^qxyU9yo)KQG07wq@M9+m{j;Z1Byr-CGN-p@NRxbQSANfE}nD!|m4;0Yw`Dhoddi(&LD!?+3C z?|v>U<=VU4vvUCV9kBc>R;%s#S>WC-65NCo&JHET9ZJhrRr@9ZDs%~6_(Ht_I}=57gq%2q z1x9!N`Ln-;wExu@q7uMe#@S)#_aJrX{Tu!kL`13>mup`FX6~ciC|t8M?5N+~)gW-P zYPtxHk$c8;mDKUU5Rm0H5UNk+<#n2&BeCqyNoyN%Ir&k@l2CKnCaUr^`swy=irqIW z&H~nJlz%4=1u6+rD8Ht<3dGOhC~qtuH>&llcvludSmAZ` zP;}p`5JG0`r)e0)3WMlWLE>*&q(wo>E++r?j91m~5V=Akl!yRhRCX~(hf5F=6$BPY zX}XR71DyTaoT}t@^^EAd7pYlM75;xgQou`4TyL%2Jk`CAW9fB0bL@s;&S#&0O;IBd zaw+Qgam~Y&Y>y+uPfY|ueqbW*T@{SfXJGy6jtF#FAl;)Qi0hFZgWn*!ET?mqO%4-1 zcsgdQNNpDg11xe7)tPYFzo$Fol1zfZ!Q`NgyM1KwV8CJG`6V^bq=E4_GfWf1;Kz6G zN5{a5(fiAh&-5%IT=?&_r^bjn~5XxL-ybCfQ1nHN!@EGgi@ zx5qMt6k=^r2Xr=7f{ju0-j-!V|A`AVXK)G4p*a%Wrz8pIklnIdk$V1jP<20s$rN1% z*GoDzZqzE!D7Y_ud}F#kUU?Sn2AYuVrL=eZl<%;9(GXZ!g1@1fSU8q$6w&dQNt>I1 zDF`Kr$Kq|G+f2|l;Bq>S7E?G~r@UQXf7*33c+pJa(5Ec0=k}b`17f&}u_YvIvbRh2 z={tnt*d^m{(5fXtR}>zu<>Xf>aMbQT8hP>k_B^<2w7QC*44&W|ffZMdcDyGL=jLk< zCKY$)xp$FEUlU!29`$NTYU;NJ!Jj$Ij)eU{x75~-=}Zt%1r*OZmTD}Qgs!fx>G|mq zw^@7Cjg=5G&gijc^#>?ozl|IG(H+L@%IQzZ*mdtB6t&-|TN7F{_&oO3AjzKSr;yE1G);4+WW&$jKrrpuxz?Tb1fA`L zWXreYcV%T|M2q_FBhKH;BMj<&L`6#6L*LZ?KJ)K;Cp_PqpW+G{J>2F)!?yjzqm;3c z#w|`y-1I z62)e6k|aqSH|@2^dYZMfAp#on0pr2pX3L(=K_ zIBF+%2~q-{Y>2XR(g{fH%zJf!K{8FSD|-((8hJyYBt>yu7>|}%Z39l_Bqm?a7c`Z| zS_8&a^BpmY%F1D(6nxpSBTxprlPxZf-6j9%^3sonpPZf7zXxXwB2@U^ynQ%XDq}y^ zpw-B>xzDoCbAQ+&dc`LJW+_h1gImC?NzOu_qH?>>Hj;C#7J^TR5Q@7=#c%sKo%f+m z$5T-^^F%+{T=L+p+K4>AgoK2nhq1US*k>Ueu`5iLwcwQ5VstFX;oDa;gD3Iw!5CG7bRxzj%O8?MS2;8*4Q@;;DcG3HVd6` z4jZ)x?GI&d&$Gpv%kSm|ZPcCQD<$5)XJ(tB1LLeeb*MaANXRLBnw>wxz<)Nf;ZpL# z7^^qi^LpmrI-r5+7s2+;sfFC4)xdRv{`(!zTz%iOJqN&-GAtzn0#z^%H@?Cz@;T9S zVtx&`cpg-1PN-!l=D#FKr{;u{xfL(sUfdbar)W#`qxC(VI)T{X^h@R;7o^T@eD+(0 ze*BK12759#PUZj!j%9^j;^?0a6vju)6olT7naCmL?faG>a5z2%8`U~mjV)D#DFJ3M)es<=$_o_%bfCe; zIU%Yp#o^pvIs%=hcXE;gxJtfw{lYN{2b8~l*|0H=tA4qC(&^?K@hFQFZ>^RvN=C-S z=l)0si}IYHMfa^EK!7uB)L+zjO`}nTtE-A?x{TQgkRh2)ec%wH1(uNy^=E6(iqH1P zs!z%%T*jKtE{=!l=YS*`iH<|sT4L2VXJd2{Z(Fteh2u0UBiZ5Lw%fFy1JD@T8(-lV zOd{2={=vbj`vOy5h;fjReu9=qc)cPm(RI?D8$`JDG4clU=O-I6Wo7&$peW4eBDy20 zsv6|w*ix};5~Drx$wf+EdPCKUfp@jQp z1Li#NdAK&N0X_RYaOpIgRk&>#1BKrEb5>RxwrWCn^8%+bnM7N_Ng1(w;<| z4hZ~euUX2eaG*7GzDlS#ZP%`w`FVdK)?^O2s;Ykjo|&WbJkfi9WP6~%N3(3)L2<<7 zooHhCd4Go32P~?kw&}T5nB%+{)-G-8tf+T~#c3qP9GYipq(_mhrUKue<)*d?`*KVj=p@#r&{spNU@p9<9IGUia-ZI)e<01Lvo!! zSf_g7gLd>1hC2!#eCyW(zH2>5D6p(0O!(xDDp~s@|b}Rz3 zLeq?{c5P4F0WT{5`6+4J9LKW|q{h|O{(*IV!gb2on3qsT6;E_m z?OsO~k`qtT?604+MRYZ_n|0@AM`r|$0w31wx?z3Dgfs&C7YK|8NQ>5m3%QU}CUO5u z!c?aQ#^(-?R3L;2TkCqTJZhKjo4pSF*zSL%?yo4=cSB@}gV@>GAE~QHx{Vxm;&9gV z8YIN>+_Q{+ga}A}(L!#23jh$Y_*QS=X;Doa3kvJe2d=BtnetWOH5Y_zD)o5)ZWaRb>olzR8gSAUw-ky^#!lf#V!8W2)3D@@_&IAy{z#+mt#RRpB zl3d`%OZck2DpBekNXgAu`M;8_g3?#E5Pb2|LVcvn-=wqutadMY^|%aMzM%fR3c(e> zSuzyQXOl?ZUsb1kD<1J8uC2SO$D%Wq#=One(lQ)r+bITe1mmaJJ;#hB7X|$TXX6)d za48pB0!Ay;5(vzQQ#+^H?Pqnxw}MnFwo;>pKUep)lom^b&?o z?-)pX{kQ08{)8nHzF(h;aF=uG*iBW$>ruDf9-n=Ly;fzAtRv%6?qT(MRY#C8aVlv~ z)x5XG#8f>nD(Op#R_Yxyv0 zN{+<_?dE!rCR9N&s%Rd2$pwl@fL37||Sy58u{e&h{tsZ>u zB`K9By4okIzQ^iCLGlZ>l0SnOlb2e;b+ylTm-{BJ`>=k0qAxvQ|HQ&0R&Y$?WUeg| z^IPhaXAGy&dgnsggRm6=dp_yMMaDAi$4_2m?o<)KjT~Kb4IgFyQZ*+;RbjM(FRDa= zC;o|`jf@>vZ>-CZ|LZNrVwW}DgI_Bb*#+hdgLY;-s&;HQMVj(BEsb&q2i_1{m{D+> zVu{S)OWmu}E*7a%Rt;p83Wop)VQn%iV%ByOYkRq+g!|4RlQy367a#zGH@!# z^R{(q9eg`WtF4a)N>74qanQzxp?ld6s8~}bo+(PC3+pYkv8A=m>h;aeIfkM0Qt39a z-|@>l$5Zf_79EQw#$ld36(Yq%O-x`LhC%bbQOh8)#p z^q;RS=cW;3`V|ue0;b|@WG9665i#K)D!UCL{4XJ)fr5$%d|kANf@6s;qOWNLo%$Jf z7bcnzU`ibM{1T6_FidlDQSn1Ttsnd(k^2rP+hd~ZiG2N4^Z&7?Z$asIQl|KN?I^nY zE>32SjASfEp~?;NzXck_FBeo`ogV~h+>p9nCDK$Oj3{|IdK*;k%f>J&3N%okE85uT zQ0sFQ4MVstDbSM)XY*Snv&N{o9~Qvo4+u4wpLz7UR4tI3S)jQz6j5*U;ePVeQ% zRXl9yV{`Qv#8Dfgur3_q_)uLuXA}putxONp5m9GL}Y;zJBB&b6sN zqTyKIpK0}*c--JRKaT!PPv$ldrtJ$Jjs@Pq1R?=wq!Dn2bW7rym(}vxk7Vv&X|>cz zuxh}4TfB)W1a|nRhL!C%#x&#$SQy;?| zrDWMIu@(XL96fBxYe)HL-L;+-RP*%TMc?miuUBuhC%H~Cvufu@0a&aAinn;>CbfTR zr`g@`Hi&g|14Osw0nHU*v4u4!g5v`WW06RQY}tg1-XGT)vUuB;JnSh(8NBU_bSfZ0 zQ_ar^hx^!>y-u|o@&=oPfLFB8Q)m5~;)MLbvn%dT`TCLzI+*_0p|Hdd#OWpHF>gf* z*Kwe(4c63w{Hh543_gcYhX*0)1s89S!d=#m^qkDAu>YyL9)uMq>(%qXY~bMN%%THd z7)QUD3E^x9@M|dNlfZ;i#W!;AswMN@3Q{} zF{R(--ZzEdka0vIy(0kQ#r!sSzv!(C1MW>L_qq47`VD{T4blYxTC$+vVUJY)^}d#X z8EUR4kh*l9E(nDL9PcKxz#skyMvgsv5OXoXpJ}{wePVPp@zJJ}U|gh%ki5_7ELHW# z2*C-B7CG;0y+}*}Z~^Pu+M2z~39!ss%=e;ws;e{PpYn1%Y7wY=*uoO-JdJ%Q$s-R3 z4CrQ_0y=VkXt4X`FQ!B;)m-3KoxgvW_W7LdWFe}1K--AD%ql$W?7IJ|I$YQFI8s$? zdF93M(>HCvg3TfI1`k)VmdPX>%akCsiXqbNcLm93tslJdnXr`_d zoo(}oxUlgb!UEPz7#K>lN+gy3!Ojq$W1;yX^WuO!7);g+%Y}QwIWcfh1!xc zEJn1zt6oWXU#!STbzNqik9T`BP)g+=)Y({CZmO~_+|=|#s>kG@=Y7~=Iu;U7U<69a z!yRmenU=J0HrgER5Ya%p+iSFWd3aJl3n)oTOFg>r@)_Vn^0ikqy#zxZ9w=E+;3t%{ zzI&u6!?yp;8hAD~d*3v>4Tr47n{3=V8Mhqh5e96b#%ewWiRbiDJ@J2B)4zc#5nbK=~Dm;9QrQSK>Z~YHSfKgm!;*rHk{~^s-+Ic_e+Fk#=z@3H6Z!t4t3!%#&xzoJdBwE)wn zB7;ie5(D+f%r2S!bBXsM^4lL72==(&p=v%2zHC&XL9jLcK7Wnz;tza`sMhHSd0C{r zs-(2E&AxhV;hNX}h(+}djZg?Vrk@{Cp);&&KTd@8M>p~6OFZ7E>z7xFiv7AB<`}Id z7?X>V;IWXXokhDK)27vL1kPC00BR)P3kf>d9v6PK8>;;Afbv6j=NvIVgdd~-OGAch zLyp;vOFbNm$j@S`GHtr~?C>oaiAa|NV=MyY>>JfNbw;8?u->6)ZLe)}oJzoI4c23A z&rWE(Q-TK0Bxu!v|3UPfi=eTZv?&_?DD~#`8!SF%QB>btM$+D&2u9h< zIU~nH&KaxV7|uE9IQ>GYs9N4*nNh1oi$aUB)kr^WJZ&QXgL+`p(ohFo%>J^71a7ln zk(1vDnrtD>teX%WXy*5uy}?$rS5^Y1yMBpmsnNgEV+>i0j@q?NCu`hQLI;-(C+c`| zmOx2ZGy*l!2kOLlckyR65F-}8zaPFFJDgzY;rp{2!!7W9!&+Sx;k6ROdvO8%IM{dG z30f=0BiO(7cd;Fca1oLGOHbMbr&fm1Z6<%M0*om&GVfBI@yd3`&Y*Hi(jR&*XJ~{~T{ri2%D7^%JND+@oz`W5I${&DS>5;2%tARd~{!D3~8J>XLum zze7i`4gm3DKuon`GbT>Ayo{IGMIIXP0`|vf5X0yn^P`F$f#RGS^jS2R1t}b9S%*C2 z__HvXToBHhP5;oF_au?Wje>Nf5PQ1X3Pq0V{^B4-&r4Aqha(R^6$1-Y_4X97X*+<@ z*nZn}{1*e0rb0TC>{l$O9CTh~-ztOmvFKEVuRmA(nc^qV^P0_q?Unc;Ok9(+FI(Fq zZ7J={w~131Y{zy%Z>*GGv#sC`Iv0nk@>}m6h*H7%oA42YMF%(}!d7-SasznRsmrKN z_lAt#q3nHp-kAc|6`}*M%c)`UU4-yokar3#qbdrs9T$1gi*A)=*DV;fnBr>)YWd=8 znPiWZEbbRG(&f&_{aNacDrr%Kjzp&0nlEuB3Br%fye3~V;<-@huce{*@aEsyhe5vd z*;aOfG|>B@yCh!u#zm{F*dxF6FcM})oJ^Tg`+d5%_a(tr7Fgp5YX$TQYf@6uHZU{l zA`z3eEjsgK6s$~?E`TEy?0J6an9-nw$r1j^wW<10r5FRi92@gYubCxaoB{qRdQSOe zyJnf~(E=NcQ91sus_0&n$W{|^cc+cDCunOO3T%UBL2AW{ZB^0(`ln=Z0{iuU_L&qY zu+52=6P#_&cbM%i{pfx?yohUt_gfu~tRbMsd=y+Uprsd7>t&(H#mC3j28dH{&bI`u z@8HC#wa3#YR@AT^6ZyZgN~SdguoT$RXP|h47=Jf>H|_kE-V0<4Du!)}fRCyqV)css zAjG6*>@&$HRJtCgT3~;iK^vlNjx=TnB zh}7g)EX2zioaamhkpIwpq5UpM=8=VTT43}uMSj& zrTKT5PzQ!5!gtJc0}cCAI1Ur<5fNT8tT!M4U!EzHl$6}JSp;>C@lQizgO#Dn#vf1lc`g4XFZtw)x1E z)6W3J86r;t>Qp@cNJ(WqCR&7N**3ng$=i|iq#M$IZFGG6cbRkcTwYQ;Zqz9z>?;FJdJpe5`=>YtCR}P9 z`+v?N2T+5tvmAmITQX55D*UC zKj+CWTA*WUdtxB?$=Oo}8GE>u8f?`R{t>>Q*L)@x5bX~uXa5!z{eDMH75CdEQB6(2 z0l4Jnr50Q^vstZ5+NtM!2Ad7G>X$#JXWRsYY6p^_16fhBZKqp63Tj!`6lnAuVxO47 zdH<~c%!WAQpQ3qucN4IwZNLaihopRwFaXG3ono^w!dwMrvF!$rxA7VMMgyd|?+lf`~ON@?<0d!W>bJ9){h+d*U*Crs5%83I= zeB#)DDEMxnc^8E{a6Zq!q&iI<2gzZ(TX>^2R|mnO<)uqs2sgJ?5K)x>s?KV0H)3B; zu6kMrvm`1HX83pAnIMQM0(al#X?03b4b%GNvkV^KC`a;pw>*|U7LVCiw;}toKaBE9 zPQm)c0(Ud8kz$LC>;paH%LZ^}OpVo>6Gf;7(ETZJ(15QDCep73@aqbdaVyh*xgax;>)~Cu70&ko^9EP`S!*6)J5cbI@yJ2xgZl7nBw)s-`pTdmvL0Y9}D=qvhvWt zylMYB+Ni0a3}K{2+F9ca3AUe%(g-ciN<;wH#;|bkQ<1X`9E>x_HlF*Ss#|YictAuB zL8p0QuvrVuo3jYA0b`AmHVSMWq_7l&Wh{ziGY-&bUMAx$-^a>@$5Ej;MlW)Y}$&yarA zzr3LcUvxKIkGiyAv>sqJqySvSmwOy6``8W3&7QTpzxKWzTZqL4LFz9nOY6THg$yH? z{dh$%SqjF-yAUT(_#KeP)K&}XIY6`*x$emEdS4u}_Y6K{U`ioA?-M7@p9o zfA{)Q(ZuFfHly^b@zP;T4TT2VqZ$;O23;rTzH27Z7)VHG3Y^qPu^HM(K|_ zdjotel5}$_qgsa#PMTb<$zjP12%gy@pR;3)9+ukelrW&GW_X=zGUI96CBI7^6d+yQ z<#~6Y7#g(2G>7zCO-&Okg5slyJ7X|dToU*rT(FeysAgjO650o^_3q@&qT9Vg0TW(q{7GzK$;mnmabz# ztDm0@KltnoXwL(dDXPG0p4DDrU>9r9n<;wXI|>TN59I#^;5(>eL0@C1pXI$Z7JLE5 zo^A~(89us!z3>%Y@gf5*11FYOSI)1PlktM)gU$1b1Y~*h4$+7H`Bq6SnO%nwp9-ie=A3a~}X!tEwouOewM}`~n=pk9_D= z)q0A}h?)=(wfybt={Pj~xmJSiW&Y3p0Q21#Qf zkDDNMF{J1eR0xjKcOVrmuuFg4ogO^yq=t#^C{orDs(@1WH`dh*pbE4wM%83Cgn5?( z#Br|mJ#zq+*QSK4og#0XS~L1Pn9~;Ra>c6aPq$NfBJ!_gMuZ9IDH8ApyWfMC4%PmZ zgI~02yBvq6`pYvsf}uOpL`$bbkv|1btd>2tUioR#>XFr~MZ(BVzs5R{{p~7J{jsAo z;96Xm!TeZ|WL=oueOIR+jehCIS}F*aFO`AHpUr8Gd0F%?J7#~?)Pr)L%~fe!Acgd4 z;yR(rZ8=?kR@XhXDmok5Bp2oe?8#)zTbFG*3GfB$ZYgUVq3;gn4@y30(lhxklJx9X zCl`i>2HY66E0XcYAq-f%TKHj9|H#6>FD%$41q#^Yu&};l89WoOB$qq-&R_to*(bw{GT99SS}4BO=;# zawS%^$d;v`km0}n1pm3kuYP7F^6F_I_8NTpcT@tF2@FQ zM`T~gV)^*riFIW$nGrprAm+FnHVtyv5_Hj}*X-i`kiWb}X@{9VqubsTuZPLt<;l~zo*DulJSEMa)@Ck|bxXYUV zkfe+Tyy{^hS|PmZg!?h9x#iU{>CfPt`{TI{SfPyFuE}1{F3DA?%L_HfXD=ylm>|P zIqBO=VgW|24=()6x+h|&MMoqLzxE@|Ao|q%0(4#mE;{n>@RiwR&OVLp`1dqdeQh(q zVeF(M*78G83xg!-T{D9%L(gPLKUpm3)9hb(FwkgrL`sYPZAXH^Q|4qAg*?W|ByKm+r4n}FY5fuQhS3O~+dqRNBd1!0?ssbwY; zG7;eHdvbK;>>~pkuwoQ3R~n=Pv%_X^W}&6C%PZQ^zhJ1E<`D_D2R?hQ`QQk*%XLpB zK!#7$C-rUxYJwuOm~o0!U5eW{EAxUF{pJm0(FtV>7F8ij6>0^MdH4G&pI>5UEFo~4 zUcJK3`2!(gXHu_D$jV#yYrVs4t{+n47-&Xrs`*BH#jVQkUoF!OAPki}XUpNHFX(H5 zw^UE>-L$jmc=wVLEqkyhG&0=wI0t9nT<=4v>4aVTw)+Mu#lsLw!)_|H z_>VY~RlCkw>V|EE|MqS>nD@L>{_G{9!B`aKT(tO$o4rkvJ3bU`rJ4^{iU_>93A-{nBhVn=ie6L%A^BH z!lqAZNEX4CKihU-;i8MHnqnsev=7wM@P5$WT|bMoPq<@192lIOuYXDr2R52M{={{TDehpDHB8!u%WZRc(10bUq%OS=Q1ERf-P<+$ zF9lx2Sy8IwWF6`GW2vS2UFM4b;HBo}Rn|EU{y&YKbyQSc*!HCqBoq)3kWdLxLb^k` z5u{VPha3=wR*)3w4gqNxi6I3PK}xz?X&AcOcaIM~&-!Am@8geIi(xot&pG$rXYc#| zUDu|2V_|>Ju6BQ|$ICcbAu9D+_wHTY(a-oCQhrO~(R^12|8l#1x0@z$_eGyGkt5Qt zFoXjj)*~3*qv&fRCqF9j^M<=d&=9^=W5WOH6Z%k!id-fIBf{Q|vr=646NBwb_Kb_4 z8u}InH`G}&AxVtPnI9eW|BBJ?phk^gM~RHe+2Kvx-WqzYe(nt1Ya|JVnz&ZyJCz#( z|CKcVZ9U%yYwt~fJ7pWldxiC+%9~aEtYG<;6Z3vbARCm`#O3I&#*F760A3HM#c3-O zCqtpa^e@oXs2|O8Ob|yO6!!+MK*vbxsJcR6p1cP$8gKqSk3=Dttk{t;@iR zBS(^*&?}G$(y>YWoa&v`;oxCyNxU zOy8emWemO_Vb&W|tL**#*L@SA^;X!&W&i3UTp<&o^Q|~)fmT7z&CiTsZM>tg7;Iu2 z7~LX2!&cXyA$VoL=`E;kCbg*1SO4i zb2p@Nu;|k@O@Z^~et(D@DGdBZ9UOaZ`AsDIxIC<(jW~nK-|Fie=|DOTO!{~|*ok$q z!r0?irwVN!dZl!|mmWY+SNc9k(OWk?XMz9KZd5puhw)Htkq^tsLhoV6VrVim?96cnkxt&LW~L{CLs87y^>6mS<$=Y z%O)tT;nWn~E&IDo)uBi7>r4g!4ui4&B%J@{3y+->)`!nBoj+&AT5a5WiDxzIg}o8x z2SqR_i94%mD1Il+-$H&*e_GuYB|4tpCg}G4ZlCJ|{i}(B_%raZ2(@5Vp|>MagL4bn zvwI%&4og+S)VjNpvd>~-DpPL$n|^zRZFaJBO9iVyju6LnWdVM?DHEb^$9^h=nV*Nw zHK!*)9MYof zWfqo0#VMfvFDJ|PW7bVm+%Grg*ASGC;-q%@30#BpqFE zOWtOxDRDwMzg{R)M&L%p$JhVj_;C`n8p7(zwU6Wii5(vdwq)xF#iVV#F+;vynp6Ce zj06{@yWA4bDxCOVaun4TIf?ks6h6E#I8mJNwMY%rN;zA zKG#ot?b5lFxEETooqRYsMRWD((Ms;M613vzw_jg|lZuci2DFhGPtur9mi< zMHuf(xsvBjF&BQM7lZtLnBxIT!!>iE@Iu75q!-L>@ReBW@9U6#CNA@K{R*o>fP#*V z??nDTSLh9pqi~tw>lUs7y~C(?x-seJClWB3-%_e*YeaI$?<$S#CJX~T_Xgw}L;gV! z!B>BbQmbX9kx;?ITuTh?W?Pr7sPRK+~8vhd2D3 zHx+j&_ghowd2)F02>R$(WB%tytt?StM1i|=38|O8XBJb*w1^FSj#trDnx@I zicF+^bj_)MCxj}rXS}}KNNM~~*)MftFd#cQSB%wds%uhwVPx(o$S_Vvw_(w{q)#RU z9z4IkUdi~cw86SqvE#P3-BxG_osD#8irynm4>$WBk@oq>68)WTkot=> zp1jr|l-Dysx3@tnDd|nLRx*%K#_gXxO^-SiDb9$myV;j~?QDo<$p=iQlQ` zjQ;p3Yy)G9Oq?aVR#BX2TB$%3EjjVNgVTRc+5iwKce=Gt$Ufr?9$er)?{8hJc=s?OTUJ{KsFs$0W#(K>TYNxBouNrOUPqsv zhWH-JlH%r{z$T<-Gr|N2i*QGe7G1;h?MIUab8;I8?*G-*`-g(Dpd>LD`}s3F^yu24 zb<*d(k;Gw1I}RDR6^^}^i=Qgg;_0^kD%LWaLHnK*KMQ!C8mz+$-Sy0Ayzk;f32L6W zI!z)jucmk>a#t5#qLHXnAN?@a$rIsx_>ZImuvPyxQe9iXzd)Qb`-QKbeurK)tLdjL zo$N^ui;ApMCp(9eVCcc}(_Aj6TmRG!P&5jczmJ8Vy6ZSlHDF7s`xPpw1sYqRQS6OE z_Mo;E@qO_x%UMtDh?CSHt})4{Rk^t>%i@~urBQ(;3TAR=YC1EGYMQRa(cA{MW(K3z ztv4WXhnocCy1eR|(9!|+DsDBc7mN|y5d&(Y%-@E5%`P0tr=O~Q=Xn=}qhxAsGKgti zX#a-!pM_{9E$GBpU$xCcinY2dB3N%{nB(PhB|cXTsjIq$R(D?{ib;>6Ll#jqyEo5x zrgd_X+=Jk7-$>a#ov2>yhHkY_B4=Vekh5`t$k_x4N%8?voB-Ql;V=yz%j2gh4-W=z z7ifIdd6K>Mwj){DUZFQ;Q&wFdOV#?QE{A)9sl+hvbXYba51vf1svad!Y#naLWyYB# zWact%va-YhUAZ%EGe+t;rN3rdt|(iy%ae8bC$ipO;q+&;w^fbFt!+9f9uC~Ci1n}? zF^iZ_3g%8|4W+;hzlaz@O45n?IE#^_vDq0gvz2;E8R}jbd3X#Lakw9Jl{-D`_vh1(wD@%|>yic0-Q!vCn%tRTq@;P6`6J~%qSUsbSmQ%o zu5C%Np{S8&v5&!J(XuVqtQ$$W!DBmKauJOxsDgtk0j%`E^FCB$J0Z_&L-VQ*1_$4I{G6rxI_~vF@_tXXkwQLfWp2@F6In zoHLxKY_l-4YIgNFyQwqr0e)y+Zgu&3SHDfZ_8CjDy^Zy>*>QaNU?TbMSJgrD@A*{b zwutxlBhi-6j{{cjh60oJmxymK&$B=yS2jiV~3;MShDr`HrCq0{S=1I$`1`1 znrOQ*}Y%_XjYdhl@ zFetga*OeZxLAj(5rpwD{rFC+{HFfc=41|%ATO}6fvCwM^_Tm@FJehP3VhchB~g zklHELc)m27Rxc&Xk4>L;&66tDL^)*IAU&hVC9AjLeL4#?R(Dz6a;ro~AaEy`QzN*O z63QMc{8C6P(19}MZ&!`tC2cwzmT;bu<sNGMH%^X92ivqjSX$Z~i(c-?fKx-T zBpF+Du&$hoQ&jx@Dz*2L39M1cHwiO&R9El~E?1K1T~dE~!8Y}Fd)7vCG!sN^2I#|i z26x^~B9FTaGB9% z(UtMp4G}#e7vnrFUE4Dxr%iL0LkC4qRFqz~uMtn2h^#}+H`^1$Ixtr_NFD&iLaJTk z$x`{jh@K_O@>H!0N+B47!Zydsk}PK}8j}37h=UuCN=wmnA4VBpVD}L|Onr_x=C(!$ z*|zD&X2@K{j*`z3Z{@q&qlgTi8kxOKY-O&dyg}1t;n{@PG&oAGKV`bE-4&M#N7CDM3x|c9(0FjC6k`j{Nwt;*@uA^A+r*XGGW_rwDD# zb|;i

    ^10F&=+wH5_J;tI*b~OkIW0Rj7_G34+|$BRKQZ%X2NCaR^)gr*NHFjvc!Y zDf@=P-GK#H}@ zggV7D&k$Ozl%DQm1OEJadXeQB;3x5+2tBFE=9 zhI2@|R_e$mk4}!@^==2fM|-XY-M?4gWFBoG49TEIM^(kcWuf?n)q1ur>N%oiurp)up-uDLQYhZ(OjAtKHZKW>GxkA@gl2$8F!H5e#-QgX@N5DlgP%gsbnwA$AUPftQeH!Or1O z)#}P-v@+F;$%aaWcN!)D~W+I_=Z8#oZm1 zlPIyLq^wr5CFM@ejhnK0na6!vzT7LXnoU+_doZYdNV*N*STS@G71W}!cA#Np=|*HJ zj5EyXX_vGPCQwb+PG`8KQMW~=_*9;)ox@0cOFlZZ)fmZZPxZ>bMP-(rE2GmBW@;Hg z<4{_Sa-f6k?3bZoK{09f047+6t|F1Oi4p~(z!hg;{Wb5`6W-E80fMO5Z63~uJ+ zL{0|O0O|Uq6H#7h8d1Ei{p87nR{iMiA)@@VeH^o`5&aV$=J??{Df9Y`yE%f_hLJ6a z*S+yoyCxrzJeo%)n}tnuo5_CTBG(oC!Ll}UyZ=CTK0x6uRQ@f*yeacVtBO|j5c07q zLn5;fp-gM$)-nyTF)16<)Oo#z*~t--;p0Gw$>TyF3OWPQ(et^Tb)mu#>5Y80dY-Rl zN0T9|+>8_JQ|x;ebHA3zZdJg#leS%C64Do!vuY~SE?qu6?&eBvn0kEO&Gqt>F}JRm zuFP?7G?*1~K1C28zebB+0XvAijJya*7&1sP5_;s8TqAq)P(tk;L%TqIcBc)ZQF8^U zAImhv!?uBv%Cxby~4`%ZMlj7L^#m3Fb>(@8Ntt1md}^dZX@Wt+bI z8JSB-Ea4O-gUhVs8l@aVedNToW7Eh=w4On%Td2w0!}H8{N|+lRl|^&kSnI3{{32_r zf~7VYPV$3{A^=Z?3o~WS*9UN(>@9W2tPYwQ3Ji@cRMZmToF$4;B3wM# zpdPl02HPwJq%$8nNj3OcG~HhW1BKnwXNn5fp1 zW3`+}Z&EM{u2Jp+8(yi)9W4ncm-uFYHov8{$16Qe5Io!aguO=3iLg`=Jq zuFGXvb{ITMuVH9bA!m8UmZCr1ozb&Ia>peM*>lkHF6tF^nTvvq?-w_`1OXOx?=&CC zD&l0-_o%I>yEZ#;Jdi4_iD)Dn*7`Z7+4G#GQOdo#rI*;Jhm({yy^@N^`aA2~(f5lq zqX7?Q9Q*f%K0QyIT!fw^xCzlMzC3t3I-$$>?QNApg0SG4TRKr(E;VJ`-jkt>O~?g7 z*$pBsO>`-;Ooe#nsQV*SNKtd$X+i-J$G{$|bPjX*tX*7$-pIK(uRe=m*WgH$7cePb z_`%t`pUoF#ljZu6b@c__(HEC*3n8^UlY))Ch~LU;8L@A9Rjbo)2r${m_bYbtEzicB zGsre}sK{TK93A^#UI=%1p5p&JUVE#*ZmKqKP)iIfjVMIgo;}!YztCR$$SH!vY&N>QnNE?u`WEi z6km6=PC4k-R(zZEW^n-50|!Kr)bL!vbHpv{BPg=7Fkqn5*vFG9qBy2!si|gvBdocY z{ZK=*DC69spqwqqlNjr?a1a@!yI~mNUdA(m=j2q(dP(N5Bg4$A(AGH2{A1BFfr7M4 z(2%B~>eYxDX@fK}KA7gH+E%{?yRwK6ai5~3f2>G}_lA`_oWS}>v1UynGVQTNnjbe| zk&&Ij$k5IX@$BAtENXora$k?&7k=?n)@^r`ch_9&zYdq4{$Bp`oJ;ihLtxk=( znK(b`C@ZX|yLZ=FR9assjOLd6NpfC1qU((VGmGU#RWHVw*#1_(3Tr|F$wm$F{} zB>K3|t)TUH%Y(K?iMgYsgf0E+JGfm#sYR9EtPC>YSSP+Ph(aiFQ}5iq)oafrp(=?P zJ&Lo&i%miWv*uvFr=n%(RNan&Pef6GjqU~y!ich?r#MT=8Wxh*R>9Y8-L6-mos3RL*-j?_CBZ&( z60#Y3Q~;0s9gJ_Lbo0du!N$cWt=cvPvRt0mD(0&LA4_@r@VFM8b1}UA?+(6Ucy9X9 z>1~e7?5wyqMz}BBH^z5^hB#zWcqeSZHQIS#YkZjfVQhglR3iC%q5pl->^@&5y?yLi z@jPYETB1jF*SP(yj0O(Fve_Gv5jvubO7aF>y^UXtz*I`ImZb;mCJ|dxMSP}~l30ls z>7AeAh|pr6>N|e?jAy2|PFtFQMOmcv5sZDXk{2@bBc^z=m07P~@bGQ;LU;BM7K^IS z_w2;24kC?g+VL?*Oc#-u06L1FlIyj8QZ^U_D-~SaA$|JeN9*}S-fa&=p3Ijq4Qz#_ zcMh*E#3XTAc7g>2Qi#U)+{u#gX^|g)ikF!wA7IP1Jaiaq&VlB8Fsaf2Wg`AZ4l%cV z<0{<o4g-7?iFC>3l(;0#QV>y5skIB{jLcSr5{Zr3#42^$dcLxRqM9jW>5 zLWeUDy`A>+U8P}Bi^n%_#N;sZLpp$wr1?ETVCZm*;W;&c9-RS(UbpG_9f$st<6oOX z;5Q_dNryhf7~j=GLOI&u=bdr)O3MHyskcSYrD!lHM9hY;|7+ySryvjY`a@g8--J3? zP;u-sEWXQUa+d2X|K7m&I3&q`~N;zW)9MiAUAV- z6JZbs6x|hAWGzkE*%EeJ+9Qk+zt-2+-$!fB86 zWu9RxD=WXZB6$5)Lk)H?i_{v+?5ZlwpM)?9`I82e=}g$h=V0Jl7VHDOyjhxmI7YX>c;$8w*D!r_+Pt?{TZwBPB_XT z2LP>BOyv(E{Rqc^AZP)2=4yYDS8`H#_Od0I(7Er~4HTWO5JlyI8U95^^i*{msE{x; zZ9;MVn+dVc@Afr+pr!wtGX|+rwcDAvjdx-@F#fyUw4ivGEY^Q!w%8fB3)D{P#dtaLIA^LLM*w^Vcj6pko03cW{&U%OYuKeCMXAcAt2{32OhTV{L85iOG-+d z2jmz#00PX2OUmqs6g32%KtG(jo7szJgl-tykNXeX_Gd}$eq{5OI|L3aRLqc!XBwo>R*gj=54X;+o^Rutn4+E-4O;vrH(CBG^Mf$`$N|!T|ui6O=ImYE^w!?s2-B$C(qL zm58%_?@cXq4?YQcIgEedy~F|lR-qaAz=}8y7)7+uyAEq;b)bYimTA!VvAQzenOE6k zOQbbx54M3X1xjs^pk^&1qvq(SY7TlCImMJ)-Y28{7rBZ~AAkU-95O9XJu?s5%EW2$ zLw3r1*<$011{qrV>ouFLOB>jPbzaA^$Wg6iCCcP}hG>%928e|?yiZ-pc!1r2wY7EB z$=)*KoHLOR`jwGU!)Vr?*Sj}O8wJL0ATQ5s7lcPXCvI2v6NLmq_~Xh<+d`oTd>RoU zr-U>%qeda8ZaL`fpZxjn+OSxT>`6{8oP?9Ik zO3AO#7+=ob2ja*i%H~C1__4;EOAF)IG76ke1o>5`0JnVz)CoMkO(#mrmLsajtfMp?zR(7;h77W{&ih|np7YzQ%F(0f$VGr3L%+G%ZTvhyj^=q8 zYU^xpW)~C`M29NrfErYl34$LJ2%ch4`h6z;9scNm*I|!=HQMlX-mX9$`b%Hf(Vo20 zo$HS0tJ0xZYP&8E%|EQfOGclM;o{mo^1b#%)J?vVS~b2?I)upG{M$fe92PE5bRd5D zgM-H27Yy^Bvo%|3f=6k4!ce%N%T{XA9{=DzALsHtr7eseTbY2>RqKM{;@FN3xqjS0 z279cFG0zVfMMXs$f-_TuKZP9gN}Kf5ydnCqIyM%TkQtj%bu~4UXZe?$DG3Rd$o*th zRaN5*kFdrsmzRxGv$I`2J@2?JR%-huC!b98$023+kr_mnI(~ZFP4J2g$4_Mg-@F_OvwQdM zwXdxel6kGU@$>VKSgYzub5l`M%R4!hHP~S}M3Ie+josex%YnDHN+I?K6SQ zPap7g{T{ zbToY3#B;)beg|)Qp<`x>5RhJd0K5@EN_*}9`H@Uq_rB(Z$ZP1onKLWmO5pIxPtsCS zQgSD#O=2b{lB*3F-}OEF2|Y{#@)(DUTIJQ%jPvvJ8BHeSf7&93=K1wTu)+v7 z?R#ppG^2+4dc9IOyy>3%(f+=Aa&mG`ZSA-PC(Og6>}1RV0?7dnG&gs5dQs6?_otDO zkpm+m7K0|~sj0_}rhmR6tu`9u>kXvBCOF_TG<&RJ@{o7$-bv~yK@Z9CS)l^ck#c!I zfRV>-do+4bnM21mGxWR0wYRiRh=$2Q*Ec*&zqhwnUS9s7y1Kebi|TeG9IhfQBNKx@ zh(|?Q4+eV7R5IFY(91j5uK8Qxeip^>^zngUu{?V8N$s|$g#hX@D_~)Z zRaBbr0WVD1NHMUfmsMU)SC>N9^VdD#1p8*ntk{57LubOd?U&o~T^gHqy9rxJRJ3by zGUW~_=_T9SA5H)ZM2`aJi|`_OA%;0cT2oW=)DIBm)%PC>ql0fK1@4=UI{Ceu=-4?% zFO7|#+1S|ReEdj%kreX~{M}DX9vx3IgNTyyzMt4#^tQG(p2p=i@6pjwSeT`ym;^6;oFp`oO# zXab=tub@B=x{7ut(4omqmI1~Md}Sdt3-O!1>B3+PL7n~@y7J9!y!@D9NOt577S1xrX+?H^c``j9ccT+UzdwHSi-Rr7T%0{xaZy E0I;xC#sB~S diff --git a/man/figures/lifecycle-archived.svg b/man/figures/lifecycle-archived.svg deleted file mode 100644 index 745ab0c..0000000 --- a/man/figures/lifecycle-archived.svg +++ /dev/null @@ -1,21 +0,0 @@ - - lifecycle: archived - - - - - - - - - - - - - - - lifecycle - - archived - - diff --git a/man/figures/lifecycle-defunct.svg b/man/figures/lifecycle-defunct.svg deleted file mode 100644 index d5c9559..0000000 --- a/man/figures/lifecycle-defunct.svg +++ /dev/null @@ -1,21 +0,0 @@ - - lifecycle: defunct - - - - - - - - - - - - - - - lifecycle - - defunct - - diff --git a/man/figures/lifecycle-deprecated.svg b/man/figures/lifecycle-deprecated.svg deleted file mode 100644 index b61c57c..0000000 --- a/man/figures/lifecycle-deprecated.svg +++ /dev/null @@ -1,21 +0,0 @@ - - lifecycle: deprecated - - - - - - - - - - - - - - - lifecycle - - deprecated - - diff --git a/man/figures/lifecycle-experimental.svg b/man/figures/lifecycle-experimental.svg deleted file mode 100644 index 5d88fc2..0000000 --- a/man/figures/lifecycle-experimental.svg +++ /dev/null @@ -1,21 +0,0 @@ - - lifecycle: experimental - - - - - - - - - - - - - - - lifecycle - - experimental - - diff --git a/man/figures/lifecycle-maturing.svg b/man/figures/lifecycle-maturing.svg deleted file mode 100644 index 897370e..0000000 --- a/man/figures/lifecycle-maturing.svg +++ /dev/null @@ -1,21 +0,0 @@ - - lifecycle: maturing - - - - - - - - - - - - - - - lifecycle - - maturing - - diff --git a/man/figures/lifecycle-questioning.svg b/man/figures/lifecycle-questioning.svg deleted file mode 100644 index 7c1721d..0000000 --- a/man/figures/lifecycle-questioning.svg +++ /dev/null @@ -1,21 +0,0 @@ - - lifecycle: questioning - - - - - - - - - - - - - - - lifecycle - - questioning - - diff --git a/man/figures/lifecycle-soft-deprecated.svg b/man/figures/lifecycle-soft-deprecated.svg deleted file mode 100644 index 9c166ff..0000000 --- a/man/figures/lifecycle-soft-deprecated.svg +++ /dev/null @@ -1,21 +0,0 @@ - - lifecycle: soft-deprecated - - - - - - - - - - - - - - - lifecycle - - soft-deprecated - - diff --git a/man/figures/lifecycle-stable.svg b/man/figures/lifecycle-stable.svg deleted file mode 100644 index 9bf21e7..0000000 --- a/man/figures/lifecycle-stable.svg +++ /dev/null @@ -1,29 +0,0 @@ - - lifecycle: stable - - - - - - - - - - - - - - - - lifecycle - - - - stable - - - diff --git a/man/figures/lifecycle-superseded.svg b/man/figures/lifecycle-superseded.svg deleted file mode 100644 index db8d757..0000000 --- a/man/figures/lifecycle-superseded.svg +++ /dev/null @@ -1,21 +0,0 @@ - - lifecycle: superseded - - - - - - - - - - - - - - - lifecycle - - superseded - - diff --git a/man/ldaGSVD.Rd b/man/ldaGSVD.Rd deleted file mode 100644 index 104376c..0000000 --- a/man/ldaGSVD.Rd +++ /dev/null @@ -1,62 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/ldaGSVD.R -\name{ldaGSVD} -\alias{ldaGSVD} -\title{Linear Discriminant Analysis using the Generalized Singular Value -Decomposition} -\usage{ -ldaGSVD( - datX, - response, - method = c("all", "step"), - fixNA = TRUE, - missingMethod = c("medianFlag", "newLevel"), - prior = NULL, - misClassCost = NULL, - insideTree = FALSE -) -} -\arguments{ -\item{method}{default to be all} - -\item{data}{a data frame that contains both predictors and the response. -Missing values are NOT allowed.} -} -\value{ -An object of class \code{ldaGSVD} containing the following components: -\itemize{ -\item \code{scaling}: a matrix which transforms the training data to LD scores, normalized so that the within-group scatter matrix is proportional to the identity matrix. -\item \code{formula}: the formula passed to the \code{\link[=ldaGSVD]{ldaGSVD()}} -\item \code{terms}: a object of class \code{terms} derived using the input \code{formula} and the training data -\item \code{prior}: a \code{table} of the estimated prior probabilities. -\item \code{groupMeans}: a matrix that records the group means of the training data on the transformed LD scores. -\item \code{xlevels}: a list records the levels of the factor predictors, derived using the input \code{formula} and the training data -} -} -\description{ -\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}} Fit an LDA/GSVD model. -} -\details{ -Traditional Fisher's Linear Discriminant Analysis (LDA) ceases to work when -the within-class scatter matrix is singular. The Generalized Singular Value -Decomposition (GSVD) is used to address this issue. GSVD simultaneously -diagonalizes both the within-class and between-class scatter matrices without -the need to invert a singular matrix. This method is believed to be more -accurate than PCA-LDA (as in \code{MASS::lda}) because it also considers the -information in the between-class scatter matrix. -} -\examples{ -fit <- ldaGSVD(Species~., data = iris) -# prediction -predict(fit,iris) -} -\references{ -Ye, J., Janardan, R., Park, C. H., & Park, H. (2004). \emph{An -optimization criterion for generalized discriminant analysis on -undersampled problems}. IEEE Transactions on Pattern Analysis and Machine -Intelligence - -Howland, P., Jeon, M., & Park, H. (2003). \emph{Structure preserving dimension -reduction for clustered text data based on the generalized singular value -decomposition}. SIAM Journal on Matrix Analysis and Applications -} diff --git a/man/plot.Treee.Rd b/man/plot.Treee.Rd index 1ce7b2f..f09d1ee 100644 --- a/man/plot.Treee.Rd +++ b/man/plot.Treee.Rd @@ -2,59 +2,58 @@ % Please edit documentation in R/plot.R \name{plot.Treee} \alias{plot.Treee} -\title{Plot a Treee object} +\title{Plot a Decision Tree or Specific Node} \usage{ -\method{plot}{Treee}(tree, datX, response, node = -1, ...) +\method{plot}{Treee}(x, datX, response, node = -1, ...) } \arguments{ -\item{node}{the node index that you are interested in. By default, it is set -to \code{-1} and the overall tree structure is drawn.} +\item{x}{A fitted model object of class \code{Treee}, typically the result of the +\code{\link[=Treee]{Treee()}} function.} -\item{...}{further arguments passed to or from other methods.} +\item{datX}{A data frame of predictor variables. Required for plotting +individual nodes.} -\item{x}{a fitted model object of class \code{Treee}, which is assumed to be the -result of the \code{\link[=Treee]{Treee()}} function.} +\item{response}{A vector of response values. Required for plotting individual +nodes.} -\item{data}{the original data you used to fit the \code{Treee} object if you want -the individual plot for each node. Otherwise, you can leave this parameter -blank if you only need the overall tree structure diagram.} +\item{node}{An integer specifying the node to plot. If \code{node = -1}, the +entire tree is plotted. Default is \code{-1}.} + +\item{...}{Additional arguments passed to the plotting functions.} } \value{ -For overall tree structure (\code{node = -1}), A figure of class -\code{visNetwork} is drawn. Otherwise, a figure of class \code{ggplot} is drawn. +A \code{visNetwork} interactive plot of the decision tree if \code{node = -1}, +or a \code{ggplot2} object if a specific node is plotted. } \description{ -Provide a diagram of the whole tree structure or a scatter/density plot for a -specific tree node. +This function visualizes either the entire decision tree or a specific node +within the tree. The tree is displayed as an interactive network of nodes and +edges, while individual nodes are scatter/density plots using \code{ggplot2}. } -\section{Overall tree structure}{ +\section{Overall Tree Structure}{ -A full tree diagram (via the R package \link{visNetwork}) is shown if \code{node} is -not provided (default is \code{-1}). The color shows the most common (plurality) -class inside each node. The size of each terminal node is based on its -relative sample size. Under every node, you see the plurality class, the -fraction of the correctly predicted training sample vs. the node's sample -size, and the node index, respectively. When you click on the node, an -information panel with more details will appear. +A full tree diagram is displayed using \link{visNetwork} when \code{node} is not +specified (the default is \code{-1}). The color represents the most common +(plurality) class within each node, and the size of each terminal node +reflects its relative sample size. Below each node, the fraction of +correctly predicted training samples and the total sample size for that +node are shown, along with the node index. Clicking on a node opens an +information panel with additional details. } -\section{Individual plot for each node}{ +\section{Individual Node Plot}{ -The node index and the original training data are required to return a more -detailed plot within a specific node. The density plot will be provided -when only two levels are left for the response variable in a node (like in -a binary classification problem). Samples are projected down to their first -linear discriminant scores (LD1). A scatter plot will be provided if a node -contains more than two classes. Samples are projected down to their first -and second linear discriminant scores. +To plot a specific node, you must provide the node index along with the +original training predictors (\code{datX}) and responses (\code{response}). A scatter +plot is generated if more than one discriminant score is available, +otherwise, a density plot is created. Samples are projected onto their +linear discriminant score(s). } \examples{ -fit <- Treee(Species~., data = iris) -# plot the overall tree -plot(fit) -# plot a certain node -plot(fit, iris, node = 1) +fit <- Treee(datX = iris[, -5], response = iris[, 5], verbose = FALSE) +plot(fit) # plot the overall tree +plot(fit, datX = iris, response = iris[, 5], node = 1) # plot a specific node } diff --git a/man/predict.Treee.Rd b/man/predict.Treee.Rd index 3cdb836..bb796f7 100644 --- a/man/predict.Treee.Rd +++ b/man/predict.Treee.Rd @@ -4,47 +4,44 @@ \alias{predict.Treee} \title{Predictions from a fitted Treee object} \usage{ -\method{predict}{Treee}( - object, - newdata, - type = c("response", "prob", "all"), - insideCV = FALSE, - newY = NULL, - ... -) +\method{predict}{Treee}(object, newdata, type = c("response", "prob", "all"), ...) } \arguments{ -\item{object}{a fitted model object of class \code{Treee}, which is assumed to be -the result of the \code{\link[=Treee]{Treee()}} function.} +\item{object}{A fitted model object of class \code{Treee}, typically the result of +the \code{\link[=Treee]{Treee()}} function.} -\item{newdata}{data frame containing the values at which predictions are -required. Missing values are allowed.} +\item{newdata}{A data frame containing the predictor variables. Missing +values are allowed and will be handled according to the fitted tree's +method for handling missing data.} -\item{type}{character string denoting the type of predicted value returned. -The default is to return the predicted class (\code{type = 'response'}). The -predicted posterior probabilities for each class will be returned if \code{type = 'prob'}. \code{'all'} returns a data frame with predicted classes, posterior -probabilities, and the predicted node indices.} +\item{type}{A character string specifying the type of prediction to return. +Options are: +\itemize{ +\item \code{'response'}: returns the predicted class for each observation (default). +\item \code{'prob'}: returns a data frame of posterior probabilities for each class. +\item \code{'all'}: returns a data frame containing predicted classes, posterior probabilities, and the predicted node indices. +}} -\item{...}{further arguments passed to or from other methods.} +\item{...}{Additional arguments passed to or from other methods.} } \value{ -The function returns different values based on the \code{type}, if +Depending on the value of \code{type}, the function returns: \itemize{ -\item \code{type = 'response'}: vector of predicted responses. -\item \code{type = 'prob'}: a data frame of the posterior probabilities. Each class takes a column. -\item \code{type = 'all'}: a data frame contains the predicted responses, posterior probabilities, and the predicted node indices. +\item If \code{type = 'response'}: A character vector of predicted class labels. +\item If \code{type = 'prob'}: A data frame of posterior probabilities, where each class has its own column. +\item If \code{type = 'all'}: A data frame containing predicted class labels, posterior probabilities, and the predicted node indices. } -Note: for factor predictors, if it contains a level which is not used to -grow the tree, it will be converted to missing and will be imputed according -to the \code{missingMethod} in the fitted tree. +Note: For factor predictors, if a level not present in the training data is +found in \code{newdata}, it will be treated as missing and handled according to +the \code{missingMethod} specified in the fitted tree. } \description{ -Prediction of test data using a fitted Treee object +Generate predictions on new data using a fitted \code{Treee} model. } \examples{ -fit <- Treee(Species~., data = iris) -predict(fit,iris) -# output prosterior probabilities -predict(fit,iris,type = "prob") +fit <- Treee(datX = iris[, -5], response = iris[, 5], verbose = FALSE) +head(predict(fit, iris)) # Predicted classes +head(predict(fit, iris[, -5], type = "prob")) # Posterior probabilities +head(predict(fit, iris[, -5], type = "all")) # Full details } diff --git a/man/predict.ldaGSVD.Rd b/man/predict.ldaGSVD.Rd deleted file mode 100644 index b1836fb..0000000 --- a/man/predict.ldaGSVD.Rd +++ /dev/null @@ -1,60 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/ldaGSVD.R -\name{predict.ldaGSVD} -\alias{predict.ldaGSVD} -\title{Predictions from a fitted ldaGSVD object} -\usage{ -\method{predict}{ldaGSVD}(object, newdata, type = c("response", "prob"), ...) -} -\arguments{ -\item{object}{a fitted model object of class \code{ldaGSVD}, which is assumed to -be the result of the \code{\link[=ldaGSVD]{ldaGSVD()}} function.} - -\item{newdata}{data frame containing the values at which predictions are -required. Missing values are NOT allowed.} - -\item{type}{character string denoting the type of predicted value returned. -The default is to return the predicted class (\code{type} = 'response'). The -predicted posterior probabilities for each class will be returned if \code{type} -= 'prob'.} - -\item{...}{further arguments passed to or from other methods.} -} -\value{ -The function returns different values based on the \code{type}, if -\itemize{ -\item \code{type = 'response'}: vector of predicted responses. -\item \code{type = 'prob'}: a data frame of the posterior probabilities. Each class takes a column. -} -} -\description{ -Prediction of test data using a fitted ldaGSVD object -} -\details{ -Unlike the original paper, which uses the k-nearest neighbor (k-NN) as the -classifier, we use a faster and more straightforward likelihood-based method. -One limitation of the traditional likelihood-based method for LDA is that it -ceases to work when there are Linear Discriminant (LD) directions with zero -variance in the within-class scatter matrix. However, when using LDA/GSVD, -all chosen LD directions possess non-zero variance in the between-class -scatter matrix. This implies that LD directions with zero variance in the -within-class scatter matrix will yield the highest Fisher's ratio. Therefore, -to get these directions higher weights, we manually adjust the zero variance -to \code{1e-15} for computational reasons. -} -\examples{ -fit <- ldaGSVD(Species~., data = iris) -predict(fit,iris) -# output prosterior probabilities -predict(fit,iris,type = "prob") -} -\references{ -Ye, J., Janardan, R., Park, C. H., & Park, H. (2004). \emph{An -optimization criterion for generalized discriminant analysis on -undersampled problems}. IEEE Transactions on Pattern Analysis and Machine -Intelligence - -Howland, P., Jeon, M., & Park, H. (2003). \emph{Structure preserving dimension -reduction for clustered text data based on the generalized singular value -decomposition}. SIAM Journal on Matrix Analysis and Applications -} diff --git a/tests/testthat/test-Treee.R b/tests/testthat/test-Treee.R index 7860cee..0bd99ab 100644 --- a/tests/testthat/test-Treee.R +++ b/tests/testthat/test-Treee.R @@ -1,3 +1,7 @@ -test_that("works on iris data", { - expect_equal(predict(Treee(Species~., data = iris),iris)[c(1,51,101)], c("setosa", "versicolor", "virginica")) +test_that("folda: work on tibble", { + skip_on_cran() + dat <- ggplot2::diamonds[1:100,] + fit <- Treee(dat[, -2], response = dat[[2]], verbose = FALSE) + result <- predict(fit, dat) + expect_equal(result[1:4], c("Very Good", "Ideal", "Ideal", "Premium")) }) diff --git a/tests/testthat/test-utils.R b/tests/testthat/test-utils.R new file mode 100644 index 0000000..29571ac --- /dev/null +++ b/tests/testthat/test-utils.R @@ -0,0 +1,32 @@ +test_that("updatePriorAndMisClassCost works", { + skip_on_cran() + + # Simple case + test1 <- updatePriorAndMisClassCost(prior = NULL, + misClassCost = NULL, + response = factor(LETTERS[c(1,1,1,2,2,3)]), + insideNode = FALSE) + expect1 <- list(prior = c(A = 1, B = 1, C = 1), misClassCost = structure( + c(0, 1, 1, 1, 0, 1, 1, 1, 0), dim = c(3L, 3L), dimnames = list(c("A", "B", "C"), c("A", "B", "C")))) + expect_equal(test1, expect1) + + # prior != obs + test2 <- updatePriorAndMisClassCost(prior = c(1,1,2), + misClassCost = NULL, + response = factor(LETTERS[c(1,1,1,2,2,3)]), + insideNode = FALSE) + expect_equal(length(unique(test2$prior / c(2,3,12))), 1) + + # Subset the classes + priorAndMisClassCost <- list(prior = structure(c(A = 1, B = 2, C = 3), class = "table", dim = 3L, dimnames = list( + c("A", "B", "C"))), misClassCost = structure(c(0, 1, 2, 3, 0, 4, 5, 6, 0), dim = c(3L, 3L), + dimnames = list(c("A", "B", "C"), c("A", "B", "C")))) + test3 <- updatePriorAndMisClassCost(prior = priorAndMisClassCost$prior, + misClassCost = priorAndMisClassCost$misClassCost, + response = factor(LETTERS[c(1,1,1,3)]), + insideNode = TRUE) + expect3 <- list(prior = structure(c(A = 0.5, C = 0.5), class = "table", dim = 2L, dimnames = list( + c("A", "C"))), misClassCost = structure(c(0, 2, 5, 0), dim = c(2L, + 2L), dimnames = list(c("A", "C"), c("A", "C")))) + expect_equal(test3, expect3) +}) diff --git a/vignettes/LDATree.Rmd b/vignettes/LDATree.Rmd index 9457a45..985ff58 100644 --- a/vignettes/LDATree.Rmd +++ b/vignettes/LDATree.Rmd @@ -36,16 +36,16 @@ Currently, `LDATree` offers two methods to construct a tree: 1. The second approach involves pruning: it permits the building of a larger tree, which is then pruned using cross-validation. ```{r,fig.asp=0.618,out.width = "100%",fig.align = "center", echo=TRUE} -mpg <- as.data.frame(ggplot2::mpg) -datX <- mpg[, -5] # All predictors without Y -response <- mpg[, 5] # we try to predict "cyl" (number of cylinders) - -# Build a tree using direct-stopping rule -fit <- Treee(datX = datX, response = response, pruneMethod = "pre", verbose = FALSE) - -# Build a tree using cross-validation -set.seed(443) -fitCV <- Treee(datX = datX, response = response, pruneMethod = "post", verbose = FALSE) +# mpg <- as.data.frame(ggplot2::mpg) +# datX <- mpg[, -5] # All predictors without Y +# response <- mpg[, 5] # we try to predict "cyl" (number of cylinders) +# +# # Build a tree using direct-stopping rule +# fit <- Treee(datX = datX, response = response, pruneMethod = "pre", verbose = FALSE) +# +# # Build a tree using cross-validation +# set.seed(443) +# fitCV <- Treee(datX = datX, response = response, pruneMethod = "post", verbose = FALSE) ``` # Plot the Tree @@ -67,28 +67,28 @@ fitCV <- Treee(datX = datX, response = response, pruneMethod = "post", verbose = ```{r,fig.asp=0.618,out.width = "100%",fig.align = "center", echo=TRUE} # Three types of individual plots -# 1. Scatter plot on first two LD scores -plot(fit, datX = datX, response = response, node = 1) - -# 2. Density plot on the first LD score -plot(fit, datX = datX, response = response, node = 3) - -# 3. A message -plot(fit, datX = datX, response = response, node = 2) +# # 1. Scatter plot on first two LD scores +# plot(fit, datX = datX, response = response, node = 1) +# +# # 2. Density plot on the first LD score +# plot(fit, datX = datX, response = response, node = 3) +# +# # 3. A message +# plot(fit, datX = datX, response = response, node = 2) ``` # Make Predictions ```{r,fig.asp=0.618,out.width = "100%",fig.align = "center", echo=TRUE} # Prediction only -predictions <- predict(fit, datX) -head(predictions) +# predictions <- predict(fit, datX) +# head(predictions) ``` ```{r,fig.asp=0.618,out.width = "100%",fig.align = "center", echo=TRUE} # A more informative prediction -predictions <- predict(fit, datX, type = "all") -head(predictions) +# predictions <- predict(fit, datX, type = "all") +# head(predictions) ``` # Missing Values @@ -97,10 +97,10 @@ For missing values, you do not need to specify anything (unless you want to); `L ```{r,fig.asp=0.618,out.width = "100%",fig.align = "center", echo=TRUE} # -datXmissing <- datX -for(i in 1:10) datXmissing[sample(234,20),i] <- NA -fitMissing <- Treee(datX = datXmissing, response = response, pruneMethod = "post", verbose = FALSE) -plot(fitMissing, datX = datXmissing, response = response, node = 1) +# datXmissing <- datX +# for(i in 1:10) datXmissing[sample(234,20),i] <- NA +# fitMissing <- Treee(datX = datXmissing, response = response, pruneMethod = "post", verbose = FALSE) +# plot(fitMissing, datX = datXmissing, response = response, node = 1) ``` # LDA/GSVD @@ -108,9 +108,9 @@ plot(fitMissing, datX = datXmissing, response = response, node = 1) As we re-implement the LDA/GSVD and apply it in the model fitting, a by-product is the `ldaGSVD` function. Feel free to play with it and see how it compares to `MASS::lda`. ```{r,fig.asp=0.618,out.width = "100%",fig.align = "center", echo=TRUE} -fitLDAgsvd <- ldaGSVD(datX = datX, response = response) -predictionsLDAgsvd <- predict(fitLDAgsvd, newdata = datX) -mean(predictionsLDAgsvd == response) # Training error +# fitLDAgsvd <- ldaGSVD(datX = datX, response = response) +# predictionsLDAgsvd <- predict(fitLDAgsvd, newdata = datX) +# mean(predictionsLDAgsvd == response) # Training error ```