From 1cc01f0816f62f7e774a41db861b6f9a59ed6d22 Mon Sep 17 00:00:00 2001
From: Walmes Zeviani <walmes@ufpr.br>
Date: Sun, 15 May 2016 16:00:25 -0300
Subject: [PATCH] Termina a vinheta da Gamma COunt.
---
inst/doc/v06_gamma_count.R | 1286 ++++++++++++++++++
inst/doc/v06_gamma_count.html | 2361 +++++++++++++++++++++++++++++++++
vignettes/v06_gamma_count.Rmd | 269 +++-
3 files changed, 3914 insertions(+), 2 deletions(-)
create mode 100644 inst/doc/v06_gamma_count.R
create mode 100644 inst/doc/v06_gamma_count.html
diff --git a/inst/doc/v06_gamma_count.R b/inst/doc/v06_gamma_count.R
new file mode 100644
index 0000000..92c5e7e
--- /dev/null
+++ b/inst/doc/v06_gamma_count.R
@@ -0,0 +1,1286 @@
+## ----setup, include=FALSE-----------------------------------------
+source("_setup.R")
+
+## ---- message=FALSE, error=FALSE, warning=FALSE-------------------
+# Definições da sessão.
+library(lattice)
+library(latticeExtra)
+library(grid)
+library(rpanel)
+library(bbmle)
+library(corrplot)
+library(plyr)
+library(car)
+library(doBy)
+library(multcomp)
+library(MRDCr)
+
+## -----------------------------------------------------------------
+# Função densidade na parametrização original.
+dgcnt
+
+# Caso Poisson (gamma == 0).
+grid <- expand.grid(lambda = c(2, 8, 15),
+ alpha = c(0.5, 1, 2.5))
+y <- 0:30
+py <- mapply(FUN = dgcnt,
+ lambda = grid$lambda,
+ alpha = grid$alpha,
+ MoreArgs = list(y = y), SIMPLIFY = FALSE)
+grid <- cbind(grid[rep(1:nrow(grid), each = length(y)), ],
+ y = y,
+ py = unlist(py))
+
+useOuterStrips(xyplot(py ~ y | factor(lambda) + factor(alpha),
+ data = grid, type = "h",
+ panel = function(x, y, ...) {
+ m <- sum(x * y)
+ panel.xyplot(x, y, ...)
+ panel.abline(v = m, lty = 2)
+ # grid.text(label = sprintf("%0.1f", m),
+ # x = unit(0.95, "npc"),
+ # y = unit(0.9, "npc"),
+ # hjust = 1)
+ }),
+ strip = strip.custom(
+ strip.names = TRUE,
+ var.name = expression(lambda == ""),
+ sep = ""),
+ strip.left = strip.custom(
+ strip.names = TRUE,
+ var.name = expression(alpha == ""),
+ sep = ""))
+
+## ---- eval=FALSE--------------------------------------------------
+# # Função densidade na parametrização de modelo de regressão.
+# MRDCr::dgcnt
+#
+# react <- function(panel){
+# with(panel,
+# {
+# m <- LAMBDA
+# s <- sqrt(LAMBDA/exp(ALPHA))
+# y <- 0:max(c(YMAX, ceiling(m + 5 * s)))
+# py <- dgcnt(y = y, lambda = LAMBDA, alpha = exp(ALPHA))
+# if (POIS) {
+# pz <- dpois(y, lambda = m)
+# } else {
+# pz <- 0
+# }
+# py[!is.finite(py)] <- 0
+# plot(py ~ y, type = "h",
+# ylim = c(0, max(c(py, pz))),
+# xlab = expression(y),
+# ylab = expression(f(y)))
+# mtext(side = 3,
+# text = substitute(sum(f(y)) == s,
+# list(s = round(sum(py), 5))))
+# if (EX) {
+# m <- sum(y * py)
+# # v <- sum((y - m)^2 * py)
+# legend("topright", bty = "n",
+# legend = substitute(E(Y) == mu,
+# list(mu = m)))
+# abline(v = m, col = 2)
+# }
+# if (POIS) {
+# lines(y + 0.3, pz, type = "h", col = 3)
+# }
+# })
+# panel
+# }
+#
+# panel <- rp.control(title = "Gamma Count",
+# size = c(300, 100), YMAX = 50)
+# rp.slider(panel = panel, action = react,
+# variable = LAMBDA, title = "lambda",
+# from = 1, to = 0.75 * panel$YMAX,
+# initval = 5, resolution = 0.1,
+# showvalue = TRUE)
+# rp.slider(panel = panel, action = react,
+# variable = ALPHA, title = "alpha",
+# from = -5, to = 5,
+# initval = 0, resolution = 0.02,
+# showvalue = TRUE)
+# rp.checkbox(panel = panel,
+# variable = EX, action = react, title = "E(Y)",
+# labels = "Mostrar o valor esperado?")
+# rp.checkbox(panel = panel,
+# variable = POIS, action = react, title = "Poisson",
+# labels = "Adicionar a distribução Poisson?")
+# rp.do(panel = panel, action = react)
+
+## -----------------------------------------------------------------
+#-----------------------------------------------------------------------
+# Função de log-Verossimilhança da Poisson Generalizada na
+# parametrização de modelo de regressão.
+
+MRDCr::llgcnt
+
+#-----------------------------------------------------------------------
+# Gerando uma amostra aleatória da Poisson, para teste.
+
+# Offset = 2, lambda = 3.
+y <- rpois(100, lambda = 2 * 3)
+
+L <- list(y = y,
+ offset = rep(2, length(y)),
+ X = cbind(rep(1, length(y))))
+
+start <- c(alpha = 0, lambda = 1)
+parnames(llgcnt) <- names(start)
+
+# Como \alpha foi fixado em 1, essa ll corresponde à Poisson.
+n0 <- mle2(minuslogl = llgcnt,
+ start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+# Para conferir.
+c(coef(n0)["lambda"],
+ coef(glm(y ~ offset(log(L$offset)), family = poisson)))
+
+# Estimando o \alpha.
+n1 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+coef(n1)
+
+# Perfil de verossimilhança dos parâmetros.
+plot(profile(n1))
+
+# Covariância.
+V <- cov2cor(vcov(n1))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+dev.off()
+
+# TODO documentar no pacote.
+fitted.gcnt <- function(lambda, alpha, offset = NULL, ymax = 40) {
+ if (is.null(offset)) {
+ offset <- 1
+ }
+ pars <- cbind(lambda, alpha, offset)
+ y <- 1:ymax
+ py <- apply(pars, MARGIN = 1,
+ FUN = function(p) {
+ sum(pgamma(p[3],
+ shape = p[2] * y,
+ rate = p[2] * p[1]))
+ # sum(y * dgcnt(y = y, lambda = p[1], alpha = p[2]))
+ })
+ names(py) <- NULL
+ return(py)
+}
+
+mean(y)
+fitted.gcnt(lambda = exp(coef(n1)[2]),
+ alpha = exp(coef(n1)[1]),
+ offset = 2)
+
+#-----------------------------------------------------------------------
+# A média da Gamma-Count.
+
+y <- rpois(100, lambda = 5)
+L <- list(y = y, X = cbind(rep(1, length(y))))
+start <- c(alpha = 0, lambda = 1)
+parnames(llgcnt) <- names(start)
+n1 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+c(mean(y),
+ exp(coef(n1)[2]),
+ fitted.gcnt(lambda = exp(coef(n1)[2]), alpha = exp(coef(n1)[1])))
+
+y <- rpois(500, lambda = 50)
+L <- list(y = y, X = cbind(rep(1, length(y))))
+start <- c(alpha = 0, lambda = 1)
+parnames(llgcnt) <- names(start)
+n1 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+c(mean(y),
+ exp(coef(n1)[2]),
+ fitted.gcnt(lambda = exp(coef(n1)[2]),
+ alpha = exp(coef(n1)[1]), ymax = 100))
+
+## -----------------------------------------------------------------
+#-----------------------------------------------------------------------
+# Carregando e explorando os dados.
+
+data(soja, package = "MRDCr")
+str(soja)
+
+# help(soja, package = "MRDCr", help_type = "html")
+
+# A observação 74 é um outlier.
+soja <- soja[-74, ]
+
+xyplot(nvag ~ K | umid, data = soja, layout = c(NA, 1),
+ type = c("p", "smooth"),
+ ylab = "Número de vagens por parcela",
+ xlab = expression("Dose de potássio aplicada"~(mg ~ dm^{3})),
+ strip = strip.custom(strip.names = TRUE, var.name = "Umidade"))
+
+soja <- transform(soja, K = factor(K))
+
+#-----------------------------------------------------------------------
+# Modelo Poisson.
+
+m0 <- glm(nvag ~ bloc + umid * K, data = soja, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+# Diagnóstico.
+par(mfrow = c(2, 2))
+plot(m0); layout(1)
+
+# Medidas de decisão.
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")
+summary(m1)
+
+#-----------------------------------------------------------------------
+# Modelo Poisson Generalizado.
+
+L <- with(soja,
+ list(y = nvag, offset = 1, X = model.matrix(m0)))
+
+# Usa as estimativas do Poisson como valores iniciais para a PGen.
+start <- c(alpha = 0, coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Com alpha fixo em 0 corresponde à Poisson.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+# Mesma medida de ajuste e estimativas.
+c(logLik(m2), logLik(m0))
+cbind(coef(m2)[-1], coef(m0))
+
+# Gamma-Count estimando o alpha.
+m3 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+# Teste para nulinidade do parâmetro de dispersão (H_0: alpha == 0).
+anova(m3, m2)
+
+# Estimaitvas dos parâmetros.
+c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0
+
+splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))
+
+# Perfil para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))
+abline(v = 0, lty = 2)
+
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+dev.off()
+
+## -----------------------------------------------------------------
+# Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))
+
+#-----------------------------------------------------------------------
+# Testes de hipótese.
+
+# Teste de Wald para a interação.
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a == max(a)
+L <- t(replicate(sum(ai), rbind(coef(m3) * 0), simplify = "matrix"))
+L[, ai] <- diag(sum(ai))
+
+# Cáclculo da estatística Chi-quadrado.
+crossprod(L %*% coef(m3),
+ solve(L %*% vcov(m3) %*% t(L),
+ L %*% coef(m3)))
+
+# Teste de Wald para interação (poderia ser LRT, claro).
+# É necessário passar um objeto glm mesmo fornecendo o restante a parte.
+linearHypothesis(model = m0,
+ hypothesis.matrix = L,
+ vcov. = vcov(m3),
+ coef. = coef(m3))
+
+#-----------------------------------------------------------------------
+# Predição com bandas de confiança.
+
+X <- LSmatrix(m0, effect = c("umid", "K"))
+pred <- attr(X, "grid")
+pred <- transform(pred,
+ K = as.integer(K),
+ umid = factor(umid))
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# Matrix de covariância completa e sem o alpha (marginal).
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ # exp(pred$gcnt$eta + x)
+ fitted.gcnt(
+ lambda = exp(pred$gcnt$eta + x),
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 300)
+ }))
+pred$gcnt$eta <- NULL
+
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, umid, K, modelo)
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(pred$modelo),
+ lty = 1, col = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+
+xyplot(fit ~ K | umid, data = pred,
+ layout = c(NA, 1), as.table = TRUE,
+ xlim = extendrange(range(pred$K), f = 0.1),
+ key = key, pch = pred$modelo,
+ xlab = expression("Dose de potássio"~(mg~dm^{-3})),
+ ylab = "Número de vagens por parcela",
+ ly = pred$lwr, uy = pred$upr, cty = "bars", length = 0,
+ prepanel = prepanel.cbH,
+ desloc = 8 * scale(as.integer(pred$modelo), scale = FALSE),
+ panel = panel.cbH)
+
+## -----------------------------------------------------------------
+#-----------------------------------------------------------------------
+
+xyplot(ngra ~ K | umid, data = soja, layout = c(NA, 1),
+ type = c("p", "smooth"),
+ ylab = "Número de grãos por parcela",
+ xlab = expression("Dose de potássio aplicada"~(mg ~ dm^{3})),
+ strip = strip.custom(strip.names = TRUE, var.name = "Umidade"))
+
+# NOTE: Essa contagem é alta e uma análise preliminar não retornou
+# Hessiana para o modelo Gamma-Count ajustado com a mle2. A suspeita que
+# é seja pela ordem de magnitude dos dados. Sendo assim, vamos
+# considerar um offset artifical de 10 apenas para correr as análises.
+#
+# Warning message:
+# In mle2(llgcnt, start = start, data = L, fixed = list(alpha = 0), :
+# couldn't invert Hessian
+#
+# Warning message:
+# In mle2(llgcnt, start = start, data = L, vecpar = TRUE) :
+# couldn't invert Hessian
+
+soja$off <- 10
+fivenum(with(soja, ngra/off))
+
+#-----------------------------------------------------------------------
+# Modelo Poisson.
+
+m0 <- glm(ngra ~ offset(log(off)) + bloc + umid * K,
+ data = soja, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+# Diagnóstico.
+par(mfrow = c(2, 2))
+plot(m0); layout(1)
+
+# Medidas de decisão.
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")
+summary(m1)
+
+#-----------------------------------------------------------------------
+# Modelo Poisson Generalizado.
+
+L <- with(soja,
+ list(y = ngra, offset = off, X = model.matrix(m0)))
+
+# Usa as estimativas do Poisson como valores iniciais.
+start <- c(alpha = 0, coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Com alpha fixo em 0 corresponde à Poisson.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+# Mesma medida de ajuste e estimativas.
+c(logLik(m2), logLik(m0))
+
+# Poisson Generalizada.
+m3 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+# Teste para nulinidade do parâmetro de dispersão (H_0: alpha == 0).
+anova(m3, m2)
+
+# Estimaitvas dos parâmetros.
+c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0
+
+splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))
+
+# Perfil para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))
+abline(v = 0, lty = 2)
+
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+dev.off()
+
+## -----------------------------------------------------------------
+# Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))
+
+# Teste de Wald para a interação.
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a == max(a)
+L <- t(replicate(sum(ai), rbind(coef(m3) * 0), simplify = "matrix"))
+L[, ai] <- diag(sum(ai))
+
+# Cáclculo da estatística Chi-quadrado.
+crossprod(L %*% coef(m3),
+ solve(L %*% vcov(m3) %*% t(L),
+ L %*% coef(m3)))
+
+linearHypothesis(model = m0,
+ hypothesis.matrix = L,
+ vcov. = vcov(m3),
+ coef. = coef(m3))
+
+#-----------------------------------------------------------------------
+# Predição com bandas de confiança.
+
+# Por causa do offset, não tem como usar a LSmatrix.
+pred <- unique(subset(soja, select = c("umid", "K")))
+X <- model.matrix(formula(m0)[-2],
+ data = cbind(off = 1, bloc = soja$bloc[1], pred))
+i <- grep(x = colnames(X), pattern = "^bloc")
+X[, i] <- X[, i] * 0 + 1/(length(i) + 1)
+
+pred <- transform(pred,
+ K = as.numeric(as.character(K)),
+ umid = factor(umid))
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m1, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# Matrix de covariância completa e sem o alpha (marginal).
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ exp(pred$gcnt$eta + x)
+ # fitted.gcnt(
+ # lambda = exp(pred$gcnt$eta + x),
+ # alpha = exp(coef(m3)["alpha"]),
+ # ymax = 100)
+ }))
+pred$gcnt$eta <- NULL
+
+# Junta o resultado dos 3 modelos.
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, umid, K, modelo)
+str(pred)
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(pred$modelo),
+ lty = 1, col = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+
+xyplot(fit ~ K | umid, data = pred,
+ layout = c(NA, 1), as.table = TRUE,
+ xlim = extendrange(range(pred$K), f = 0.1),
+ key = key, pch = pred$modelo,
+ xlab = expression("Dose de potássio"~(mg~dm^{-3})),
+ ylab = "Número de grãos por parcela",
+ ly = pred$lwr, uy = pred$upr, cty = "bars", length = 0,
+ prepanel = prepanel.cbH,
+ desloc = 8 * scale(as.integer(pred$modelo), scale = FALSE),
+ panel = panel.cbH)
+
+## -----------------------------------------------------------------
+#-----------------------------------------------------------------------
+# Número de grãos por vagem (offset).
+
+xyplot(ngra/nvag ~ K | umid, data = soja, layout = c(NA, 1),
+ type = c("p", "smooth"),
+ xlab = expression("Dose de potássio"~(mg~dm^{-3})),
+ ylab = "Número de grãos por vagem",
+ strip = strip.custom(strip.names = TRUE, var.name = "Umidade"))
+
+#-----------------------------------------------------------------------
+# Modelo Poisson.
+
+m0 <- glm(ngra ~ offset(log(nvag)) + bloc + umid * K,
+ data = soja, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+# Diagnóstico.
+par(mfrow = c(2, 2))
+plot(m0); layout(1)
+
+# Medidas de decisão.
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")
+summary(m1)
+
+# Declara um modelo aditivo.
+m0 <- glm(ngra ~ offset(log(nvag)) + bloc + umid + K,
+ data = soja, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+anova(m1, test = "F")
+
+#-----------------------------------------------------------------------
+# Modelo Poisson Generalizado.
+
+L <- with(soja,
+ list(y = ngra, offset = nvag, X = model.matrix(m0)))
+
+start <- c(alpha = 0, coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Com alpha fixo em 0 corresponde à Poisson.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+# Mesma medida de ajuste e estimativas.
+c(logLik(m2), logLik(m0))
+
+# Poisson Generalizada.
+m3 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+# Teste para nulinidade do parâmetro de dispersão (H_0: alpha == 0).
+anova(m3, m2)
+
+c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0
+
+splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))
+
+# Perfil para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))
+
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+dev.off()
+
+## -----------------------------------------------------------------
+# Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))
+
+# Teste de Wald para a interação.
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a == max(a)
+L <- t(replicate(sum(ai), rbind(coef(m3) * 0), simplify = "matrix"))
+L[, ai] <- diag(sum(ai))
+
+# Cáclculo da estatística Chi-quadrado.
+crossprod(L %*% coef(m3),
+ solve(L %*% vcov(m3) %*% t(L),
+ L %*% coef(m3)))
+
+linearHypothesis(model = m0,
+ hypothesis.matrix = L,
+ vcov. = vcov(m3),
+ coef. = coef(m3))
+
+#-----------------------------------------------------------------------
+
+# X <- model.matrix(m0)
+# soja$nvag
+#
+# cbind(y = soja$ngra,
+# Pois = soja$nvag * exp(X %*% coef(m0)),
+# Quas = soja$nvag * exp(X %*% coef(m1)),
+# Gcnt = exp(X %*% coef(m3)[-1]))
+#
+# cbind(y = soja$ngra/soja$nvag,
+# Pois = exp(X %*% coef(m0)),
+# Quas = exp(X %*% coef(m1)),
+# Gcnt = exp(X %*% coef(m3)[-1]))
+#
+# fitted.gcnt(lambda = 1, alpha = 1)
+# fitted.gcnt(lambda = 2, alpha = 1)
+# fitted.gcnt(lambda = 2, alpha = 0.4)
+# fitted.gcnt(lambda = 2, alpha = 3.1)
+
+#-----------------------------------------------------------------------
+# Predição com bandas de confiança.
+
+# Por causa do offset, não tem como usar a LSmatrix.
+pred <- unique(subset(soja, select = c("umid", "K")))
+
+X <- model.matrix(formula(m0)[-2],
+ data = cbind(nvag = 1, bloc = soja$bloc[1], pred))
+
+i <- grep(x = colnames(X), pattern = "^bloc")
+X[, i] <- X[, i] * 0 + 1/(length(i) + 1)
+head(X)
+
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m1, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# # TODO
+# m3 <- m2
+
+# Matrix de covariância completa e sem o alpha (marginal).
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+
+# Comparando as estimativas de média para contagem.
+c(Pois = pred$pois$fit[1],
+ Gcnt1 = exp(pred$gcnt$eta)[1],
+ GCnt2 = fitted.gcnt(
+ lambda = exp(pred$gcnt$eta)[1],
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 80))
+
+pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ exp(pred$gcnt$eta + x)
+ # fitted.gcnt(
+ # lambda = exp(pred$gcnt$eta + x),
+ # alpha = exp(coef(m3)["alpha"]),
+ # ymax = 50)
+ }))
+pred$gcnt$eta <- NULL
+
+# Junta o resultado dos 3 modelos.
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, umid, K, modelo)
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(pred$modelo),
+ lty = 1, col = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+
+xyplot(ngra/nvag ~ K | umid, data = soja, layout = c(NA, 1),
+ type = c("p", "smooth"),
+ xlim = extendrange(range(as.numeric(pred$K)), f = 0.2),
+ key = key,
+ xlab = expression("Dose de potássio"~(mg~dm^{-3})),
+ ylab = "Número de grãos por vagem",
+ strip = strip.custom(strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ xyplot(fit ~ K | umid, data = pred,
+ layout = c(NA, 1), as.table = TRUE,
+ pch = pred$modelo,
+ ly = pred$lwr, uy = pred$upr, cty = "bars", length = 0,
+ prepanel = prepanel.cbH,
+ desloc = 0.15 * scale(as.integer(pred$modelo),
+ scale = FALSE),
+ panel = panel.cbH))
+
+## -----------------------------------------------------------------
+#-----------------------------------------------------------------------
+# Número de capulhos em função do nível de desfolha artificial e fase
+# fenológica do algodoeiro.
+
+data(capdesfo, package = "MRDCr")
+str(capdesfo)
+
+# help(capdesfo, package = "MRDCr", help_type = "html")
+
+p1 <- xyplot(ncap ~ des | est, data = capdesfo,
+ col = 1, type = c("p", "smooth"), col.line = "gray50",
+ layout = c(2, 3), as.table = TRUE,
+ xlim = extendrange(capdesfo$des, f = 0.15),
+ xlab = "Nível de desfolhas artificial",
+ ylab = "Número de capulho produzidos",
+ spread = 0.035, panel = panel.beeswarm)
+p1
+
+#-----------------------------------------------------------------------
+# Modelo Poisson.
+
+m0 <- glm(ncap ~ est * (des + I(des^2)),
+ data = capdesfo, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+par(mfrow = c(2, 2))
+plot(m0); layout(1)
+
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")
+summary(m1)
+
+#-----------------------------------------------------------------------
+# Modelo Poisson Generalizada.
+
+L <- with(capdesfo,
+ list(y = ncap, offset = 1, X = model.matrix(m0)))
+
+start <- c(alpha = log(1), coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Modelo Poisson também.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+c(logLik(m2), logLik(m0))
+
+# Modelo Poisson Generalizado.
+m3 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+logLik(m3)
+
+anova(m3, m2)
+
+summary(m3)
+
+c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0
+splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))
+
+# Perfil para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))
+
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+dev.off()
+
+## -----------------------------------------------------------------
+# Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))
+
+# Teste de Wald para a interação.
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a == max(a)
+L <- t(replicate(sum(ai), rbind(coef(m3) * 0), simplify = "matrix"))
+L[, ai] <- diag(sum(ai))
+
+# Teste de Wald explicito.
+crossprod(L %*% coef(m3),
+ solve(L %*% vcov(m3) %*% t(L),
+ L %*% coef(m3)))
+
+# Teste de Wald para interação (poderia ser LRT, claro).
+# É necessário um objeto glm, mas necesse caso ele não usado para nada.
+linearHypothesis(model = m0,
+ hypothesis.matrix = L,
+ vcov. = vcov(m3),
+ coef. = coef(m3))
+
+#-----------------------------------------------------------------------
+# Predição com bandas de confiança.
+
+pred <- with(capdesfo, expand.grid(est = levels(est),
+ des = seq(0, 1, by = 0.025)))
+X <- model.matrix(formula(m0)[-2], data = pred)
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m1, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# Preditos pela Poisson Generalizada.
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+
+# Comparando as estimativas de média para contagem.
+c(Pois = pred$pois$fit[1],
+ Gcnt1 = exp(pred$gcnt$eta)[1],
+ GCnt2 = fitted.gcnt(
+ lambda = exp(pred$gcnt$eta)[1],
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 30))
+
+pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ # exp(pred$gcnt$eta + x)
+ fitted.gcnt(
+ lambda = exp(pred$gcnt$eta + x),
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 50)
+ }))
+
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, est, des, modelo)
+
+key <- list(lines = list(lty = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+key$lines$col <-
+ trellis.par.get("superpose.line")$col[1:nlevels(pred$modelo)]
+
+p2 <- xyplot(fit ~ des | est, data = pred, groups = modelo,
+ layout = c(NA, 1), as.table = TRUE,
+ xlim = extendrange(range(pred$des), f = 0.1),
+ type = "l", key = key,
+ ly = pred$lwr, uy = pred$upr,
+ cty = "bands", alpha = 0.35,
+ prepanel = prepanel.cbH,
+ panel.groups = panel.cbH,
+ panel = panel.superpose)
+# p2
+
+## ---- fig.width=7, fig.height=3.5---------------------------------
+update(p1, type = "p", layout = c(NA, 1),
+ key = key, spread = 0.07) +
+ as.layer(p2, under = TRUE)
+
+## -----------------------------------------------------------------
+#-----------------------------------------------------------------------
+
+data(nematoide, package = "MRDCr")
+str(nematoide)
+
+# help(nematoide, package = "MRDCr", help_type = "html")
+
+# Número de nematóides por grama de raíz.
+plot(nema ~ off, data = nematoide)
+
+xyplot(nema/off ~ cult, data = nematoide,
+ xlab = "Linhagens de feijão",
+ ylab = "Número de nematoides por grama de raíz")
+
+#-----------------------------------------------------------------------
+# Ajuste do Poisson.
+
+m0 <- glm(nema ~ offset(log(off)) + cult,
+ data = nematoide,
+ family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+# Diagnóstico.
+par(mfrow = c(2, 2))
+plot(m0); layout(1)
+
+# Estimativas dos parâmetros.
+summary(m1)
+
+# Quadro de deviance.
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")
+
+#-----------------------------------------------------------------------
+# Ajuste da Poisson Generalizada.
+
+L <- with(nematoide,
+ list(y = nema, offset = off, X = model.matrix(m0)))
+
+start <- c(alpha = log(1), coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Modelo Poisson também.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+c(logLik(m2), logLik(m0))
+
+# Poisson Generalizada.
+m3 <- gcnt(formula(m0), data = nematoide)
+
+# Diferença de deviance.
+# 2 * diff(c(logLik(m0), logLik(m3)))
+anova(m3, m2)
+
+c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0
+splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))
+
+# Perfil de log-verossimilhança para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))
+
+# Covariância.
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+dev.off()
+
+## -----------------------------------------------------------------
+# Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))
+
+# Gráfico das estimativas.
+pars <- data.frame(Pois = c(0, coef(m0)), Gcnt = coef(m3))
+xyplot(Gcnt ~ Pois, data = pars, aspect = "iso", grid = TRUE) +
+ layer(panel.abline(a = 0, b = 1, lty = 2))
+
+#-----------------------------------------------------------------------
+# Predição com intervalos de confiança.
+
+pred <- unique(subset(nematoide, select = cult))
+X <- model.matrix(~cult, data = pred)
+
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m1, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# Preditos pela Poisson Generalizada.
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+
+# Comparando as estimativas de média para contagem.
+c(Pois = pred$pois$fit[1],
+ Gcnt1 = exp(pred$gcnt$eta)[1],
+ GCnt2 = fitted.gcnt(
+ lambda = exp(pred$gcnt$eta)[1],
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 500))
+
+pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ # exp(pred$gcnt$eta + x)
+ fitted.gcnt(
+ lambda = exp(pred$gcnt$eta + x),
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 500)
+ }))
+
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, cult, modelo)
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(pred$modelo),
+ lty = 1, col = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+
+xyplot(nema/off ~ cult, data = nematoide,
+ key = key,
+ xlab = "Cultivar de feijão",
+ ylab = "Número de nematóides por grama de raíz") +
+ as.layer(
+ xyplot(fit ~ cult, data = pred,
+ pch = pred$modelo,
+ ly = pred$lwr, uy = pred$upr,
+ cty = "bars", length = 0,
+ prepanel = prepanel.cbH,
+ desloc = 0.25 * scale(as.integer(pred$modelo),
+ scale = FALSE),
+ panel = panel.cbH))
+
+## -----------------------------------------------------------------
+#-----------------------------------------------------------------------
+# Log-verossimilhança para o número de gols dos times em uma partida.
+
+llgols <- function(theta, gh, ga, Xh, Xa){
+ # theta: Vetor de parâmetros.
+ # gh, ga: Gols do mandante e do visitante.
+ # Xh, Xa: Matrizes de incidência das partidas.
+ gamma <- 1:20 # Parâmetros de ataque.
+ delta <- 21:40 # Parâmetros de defesa.
+ omega <- 41 # Vantagem do mando de campo.
+ alpha <- 42 # Dispersão da Gamma-Count. Se 0 então Poisson.
+ #----------------------------------------
+ # Preditor dos times mandantes e desafiante.
+ eta.h <- (Xh %*% theta[gamma] - Xa %*% theta[delta]) + theta[omega]
+ eta.a <- (Xa %*% theta[gamma] - Xh %*% theta[delta])
+ # Parâmetro de dispersão.
+ alpha <- exp(theta[alpha])
+ #----------------------------------------
+ # Quantidades auxiliares.
+ alpha.gh <- alpha * gh
+ alpha.eXb.h <- alpha * exp(eta.h)
+ alpha.ga <- alpha * ga
+ alpha.eXb.a <- alpha * exp(eta.a)
+ offset <- 1
+ #-------------------------------------------------------------------
+ # Verossimilhanças.
+ ll.h <- sum(log(pgamma(offset,
+ shape = alpha.gh,
+ rate = alpha.eXb.h) -
+ pgamma(offset,
+ shape = alpha.gh + alpha,
+ rate = alpha.eXb.h)))
+ ll.a <- sum(log(pgamma(offset,
+ shape = alpha.ga,
+ rate = alpha.eXb.a) -
+ pgamma(offset,
+ shape = alpha.ga + alpha,
+ rate = alpha.eXb.a)))
+ # Verossimilhança total.
+ ll <- sum(ll.h + ll.a)
+ return(-ll)
+}
+
+#-----------------------------------------------------------------------
+# Análise dos jogos do Campeonado Brasileiro.
+
+# Tomando as primeiras rodadas do campeonato.
+db <- subset(cambras, rod <= 10)
+
+# Quantos jogos cada time fez em casa e fora de casa.
+addmargins(cbind(home = xtabs(~home, db),
+ away = xtabs(~away, db)), margin = 2)
+
+subset(db, home == "Fluminense")
+
+# Níveis na mesma ordem?
+all(levels(db$home) == levels(db$away))
+
+# Matrizes de delineamento.
+Xh <- model.matrix(~ -1 + home, db) # h: home.
+Xa <- model.matrix(~ -1 + away, db) # a: away.
+
+# Verificação.
+Xha <- Xh - Xa
+db[1:5, c("home", "away")]
+print.table(t(Xha[1:5, ]), zero.print = ".")
+
+#-----------------------------------------------------------------------
+# Ajuste do modelos.
+
+# Valores iniciais para o modelo Poisson.
+start <- c(rep(1, 40), 0.5, 0)
+names(start) <- c(paste0("att", 1:20),
+ paste0("def", 1:20),
+ "hfa", "alpha")
+parnames(llgols) <- names(start)
+
+m0 <- mle2(minuslogl = llgols,
+ start = start,
+ data = list(gh = db$h, ga = db$a, Xh = Xh, Xa = Xa),
+ fixed = list(alpha = 0),
+ vecpar = TRUE)
+
+# Valores iniciais para o modelo Gamma-Count.
+start <- coef(m0)
+parnames(llgols) <- names(start)
+
+m2 <- mle2(minuslogl = llgols,
+ start = start,
+ data = list(gh = db$h, ga = db$a, Xh = Xh, Xa = Xa),
+ vecpar = TRUE)
+
+#-----------------------------------------------------------------------
+# Comparando resultados.
+
+# Estimativas dos parâmetros.
+c0 <- data.frame(Pois = coef(m0),
+ GCnt = coef(m2))
+c0
+
+xyplot(GCnt ~ Pois, data = c0, aspect = "iso",
+ groups = gsub(x = rownames(c0), "\\d", ""),
+ auto.key = TRUE, grid = TRUE) +
+ layer(panel.abline(a = 0, b = 1))
+
+# Teste para o parâmetro de dispersão.
+anova(m0, m2)
+
+# plot(profile(m1, which = "alpha"))
+# plot(profile(m2, which = "alpha"))
+
+# Função de risco.
+al <- exp(coef(m2)[42])
+curve(dgamma(x, al, 1)/(1 - pgamma(x, al, 1)),
+ from = 0, to = 2,
+ xlab = "t",
+ ylab = expression(h(t) == f(t)/(1 - F(t))))
+
+ci <- rbind(cbind(1, coef(m0)[-42], confint(m0, method = "quad")),
+ cbind(2, coef(m2), confint(m2, method = "quad")))
+ci <- as.data.frame(ci)
+names(ci) <- c("model", "est", "lwr", "upr")
+ci$model <- factor(ci$model, labels = c("Pois", "GCnt"))
+ci$par <- factor(sub(pattern = "\\d+",
+ replacement = "",
+ x = rownames(ci)))
+ci$team <- factor(levels(db$home)[
+ as.numeric(sub(pattern = "\\D+",
+ replacement = "",
+ x = rownames(ci)))])
+
+sb <- subset(ci, par == "att" & model == "GCnt")
+ci$team <- factor(ci$team, levels = sb$team[order(sb$est)])
+
+segplot(team ~ lwr + upr | model,
+ centers = est, data = ci,
+ draw = FALSE, groups = par, gap = 0.2,
+ pch = as.integer(ci$par),
+ key = list(title = "Parâmetro", cex.title = 1.1,
+ type = "o", divide = 1,
+ text = list(c("Ataque", "Defesa")),
+ lines = list(pch = 2:3)),
+ ylab = "Times (ordenados pelo ataque)",
+ xlab = "Estimativa do parâmetro",
+ panel = panel.groups.segplot)
+
+#-----------------------------------------------------------------------
+# Gols observados e preditos dos times mandantes e desafiantes nestas
+# rodadas.
+
+gg <-
+rbind(
+ cbind(x = 1,
+ y = db$h,
+ Pois = c(exp(cbind(Xh, -Xa) %*%
+ coef(m0)[1:40] + coef(m0)["hfa"])),
+ GCnt1 = c(exp(cbind(Xh, -Xa) %*%
+ coef(m2)[1:40] + coef(m2)["hfa"])),
+ GCnt2 = fitted.gcnt(lambda = exp(cbind(Xh, -Xa) %*%
+ coef(m2)[1:40] +
+ coef(m2)["hfa"]),
+ alpha = exp(coef(m2)["alpha"]))),
+ cbind(x = 2,
+ y = db$a,
+ Pois = c(exp(cbind(Xa, -Xh) %*% coef(m0)[1:40])),
+ GCnt1 = c(exp(cbind(Xa, -Xh) %*% coef(m2)[1:40])),
+ GCnt2 = fitted.gcnt(lambda = exp(cbind(Xa, -Xh) %*%
+ coef(m2)[1:40]),
+ alpha = exp(coef(m2)["alpha"]))))
+
+# Comparação de observado com predito.
+splom(gg[, -1], groups = gg[, 1]) +
+ layer(panel.abline(a = 0, b = 1))
+
+#-----------------------------------------------------------------------
+# Fazendo previsão dos resultados da rodada a seguir.
+
+levels(db$home)
+
+# # Na rodada 11 deu Cruzeiro 2x2 Grêmio.
+# i <- which(levels(db$home) %in% c("Cruzeiro", "Grêmio"))
+# levels(db$home)[i]
+
+# Na rodada 11 dei Ceará 0x0 Palmeiras.
+i <- which(levels(db$home) %in% c("Ceará", "Palmeiras"))
+levels(db$home)[i]
+
+# Dois times jogando em território neutro.
+# HomeAttack - AwayDefense
+# AwayAttack - HomeDefense
+alp <- exp(coef(m2)[42])
+beta <- exp(coef(m2)[i] - rev(coef(m2)[20 + i]))
+beta
+
+exp(-beta)
+
+# Probabilidade dos placares de 0x0, 0x1, ..., 6x6.
+y <- 0:6
+dnn <- lapply(substr(levels(db$home)[i], 0, 3), FUN = paste, y)
+plapois <- outer(dgcnt(y = y, lambda = beta[1], alpha = 1),
+ dgcnt(y = y, lambda = beta[2], alpha = 1),
+ FUN = "*")
+plagcnt <- outer(dgcnt(y = y, lambda = beta[1], alpha = alp),
+ dgcnt(y = y, lambda = beta[2], alpha = alp),
+ FUN = "*")
+dimnames(plapois) <- dnn
+dimnames(plagcnt) <- dnn
+
+print.table(round(plapois, 2), zero.print = ".")
+print.table(round(plagcnt, 2), zero.print = ".")
+
+# Olhando só para os empates.
+round(cbind(Pois = diag(plapois),
+ GCnt = diag(plagcnt)), 3)
+
+# Draw - Win - Lose.
+dwl <- rbind(Pois = c(sum(diag(plapois)),
+ sum(plapois[lower.tri(plapois)]),
+ sum(plapois[upper.tri(plapois)])),
+ GCnt = c(sum(diag(plagcnt)),
+ sum(plagcnt[lower.tri(plagcnt)]),
+ sum(plagcnt[upper.tri(plagcnt)])))
+colnames(dwl) <- sprintf(paste(levels(db$home)[i], collapse = " %s "),
+ c("=", ">", "<"))
+t(dwl)
+
+## ---- eval=FALSE, include=FALSE-----------------------------------
+# opts_chunk$set(eval = FALSE)
+
diff --git a/inst/doc/v06_gamma_count.html b/inst/doc/v06_gamma_count.html
new file mode 100644
index 0000000..8c5265e
--- /dev/null
+++ b/inst/doc/v06_gamma_count.html
@@ -0,0 +1,2361 @@
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+
+<head>
+
+<meta charset="utf-8">
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="generator" content="pandoc" />
+
+
+
+<title>Análise de Contagens com Modelo Gamma Gount</title>
+
+<script 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oPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BMXOiTOoRKF0Q7mbNRYGPZDp5eIdPOZHboa4CTvwnlZb0zCOW6kZJh6klDDvYghmQ2FCDKB5DD%2B0nImiNcfSzaGT8aSPzEZjMQ2GPpA1Ws4Xeysyv0zSSMVVsiOoiowo2SfYFdapUBsWIoRXMAKYdguyVcwqX%2BzVWYLiNddi8p%2BxMV4dQIoUs6SQ4C1%2FBjtBw0ocOzLmMkEv5D8N4%2FZu4gYA4ryDb5Y3gkIxdb37qMCWYmDGgsyEE00y3BZ4FgyT%2FdJLHxMQwx0gViQjWL0QyBfcufCgRYYGiCHrxez874MrcqldLCEQLkCCK6pWCnULCh%2BVK6FW%2B1nm%2BN668e16QTKWprvRw3mkwitjPefHt5QKrVumkXsvsVrHdAJrodfWckxhhzknXZ8cMVIvKphJVfhvWbhoZbbgo3fygOr8PlKcVEYLTmUbjp8rTFlPRtPrdA8tljZ0REfnhwApCZ65Igtn1gBROJdPCCb9ZIqlQUq3W89ZjSgSnUz8nEBW03JCcQ%2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFsYABEAAAAAoUAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABgAAAABwAAAAcalXC8EdERUYAAAGcAAAAHgAAACABCAAET1MvMgAAAbwAAABDAAAAYGenS4RjbWFwAAACAAAAARsAAAJySvAJmmN2dCAAAAMcAAAACAAAAAgAKAOHZnBnbQAAAyQAAAGxAAACZVO0L6dnYXNwAAAE2AAAAAgAAAAIAAAAEGdseWYAAATgAABODAAAiTweHjMhaGVhZAAAUuwAAAA0AAAANgJiWP5oaGVhAABTIAAAABwAAAAkCjIED2htdHgAAFM8AAABFAAAAvTBwRGObG9jYQAAVFAAAAGrAAABuDSPVk5tYXhwAABV%2FAAAACAAAAAgAgQBoG5hbWUAAFYcAAABggAAA3zUr5ntcG9zdAAAV6AAAANAAAAIhLlGpmlwcmVwAABa4AAAAC4AAAAusPIrFHdlYmYAAFsQAAAABgAAAAZYr1LmAAAAAQAAAADMPaLPAAAAAM8MFvIAAAAAzwwJLnjaY2BkYGDgA2IJBhBgYmAEwltAzALmMQAADagBDQAAeNpjYGZpZJzAwMrAwszDdIGBgSEKQjMuYTBi2gHkA6Wwg1DvcD8GBwbeRwzMB%2F4LANVJMNQAhRmRlCgwMAIAC2EJ1gB42s2RP0vDYBDG723aSIrSUESsiHcIWqqDXbvFRe0gBJw6tTgUCx2Kk926dusixc0P4OiXaQZzjx2cnNRFhPiagENdHBx84P693P0O7iUihzLbJGM9mb6tTFrnTWhjSAEVyLfZCgnt060U5UDacrdd3vnYNVWvWlJHPa1oTRva1JZ2tKdDHesUHiqooYEjNNFCD0OMcY2bR0qSr10pcc8S6QfRaEF9Fa1roKElnutARzqBgQ9BHQFOEKKDAUaYYJoSTfKWzJMo6epSPI%2Fv44sHJ9qI1malWVEqsi5lWRZXiN%2F5lV%2F4mZ8YfMWX3Ocud7jNLT7jUz7mQw62ouwafyvj0jfW5KzLLTZkX5EpX6B%2FLXfxYfU3U5%2BPg2iWAAAAAI8AKAL4eNpdUbtOW0EQ3Q0PA4HE2CA52hSzmZDGe6EFCcTVjWJkO4XlCGk3cpGLcQEfQIFEDdqvGaChpEibBiEXSHxCPiESM2uIojQ7O7NzzpkzS8qRqnfpa89T5ySQwt0GzTb9Tki1swD3pOvrjYy0gwdabGb0ynX7%2FgsGm9GUO2oA5T1vKQ8ZTTuBWrSn%2FtH8Cob7%2FB%2FzOxi0NNP01DoJ6SEE5ptxS4PvGc26yw%2F6gtXhYjAwpJim4i4%2FplL%2BtzTnasuwtZHRvIMzEfnJNEBTa20Emv7UIdXzcRRLkMumsTaYmLL%2BJBPBhcl0VVO1zPjawV2ys%2BhggyrNgQfYw1Z5DB4ODyYU0rckyiwNEfZiq8QIEZMcCjnl3Mn%2BpED5SBLGvElKO%2BOGtQbGkdfAoDZPs%2F88m01tbx3C%2BFkcwXe%2FGUs6%2BMiG2hgRYjtiKYAJREJGVfmGGs%2B9LAbkUvvPQJSA5fGPf50ItO7YRDyXtXUOMVYIen7b3PLLirtWuc6LQndvqmqo0inN%2B17OvscDnh4Lw0FjwZvP%2B%2F5Kgfo8LK40aA4EQ3o3ev%2BiteqIq7wXPrIn07%2BxWgAAAAABAAH%2F%2FwAPeNq9vQlgG%2BWVADzfzEijWxpJo5FkS7IkS%2FIpxZJlxfGR4Nx3yM2dgIBCOMIVrhAghXK0CYZCKA0tKSyQco6UUNpu2G3pwoq26hnSQrcsvVhajm0hu90m8fC%2F981Ilu0Eyu7%2F%2F3EkzSXNe%2B973%2FvePQzLtDEM%2BQzXwnCMwKRLhMkMlgWefS9bMhr%2BbbDMsbDJlDg8bMDDZcHIHRssEzyeE6NiIifG28gs9e0%2F%2F5lrOfZmG%2FsThjBFpsgv4ZcwMtPKKExGsecUUlWsWaL4M4rnkGLIKu6qImRLAdLJTOvx5KOpgizmxIIsRKWoLKTEuCikCkXCPb%2Fj%2BQq8CKeO1TYPTzqgjtHLAA0G%2FtH7WplFTNnCMJ14c4He3JAtE8bSuW8W4cydRLFlFMshhc0q5qrCZ8tmC54yC%2BbOssWMmxbG3FmyU%2BgCJCrW%2Fsgo6SKj6mb14PiWupmMUpwN%2FBf4Z5gCs4VRshmlrVpuy%2BJPtaXNFI4ohSOSVQwZpTmnGKtKMKtIGcVaLUtWvFByIWTTM0qBQharlkKRLHy6St2kU3FllXRVcWZL%2FaSzFCuIbkXoV7rFsrUl29%2Ffj1Qs5HoL8UKur9CXy8o%2BOd6bZuMxBytEhahRgrcwn8sOs%2FmcUTDGY6k0SRWLlxleL96WWHzV%2Fg82Dxqfyy1ZFPb3z5npIdcX1YNGsgvezdP6Z%2Bek0KIluWciGzc9Xr26dcRGDhcz%2BeLjp%2B544fwLC%2BunBbxdpw4X033FRVeOdDqD09bln7rwqq%2Bmn7yGwTGpkFF%2BCXsA%2BMtNeYGrEoXPlAzayANRK9wtx7YiORlGH8Pavx7Y%2F%2BgD0sW%2FyJ%2FESEyEUbiM4qjCmBHFlynJ8BMlMye6S1axv39aD%2Bf15aLZvt5kPCakSTxmlLyygzguW86%2Bf80TT1yT7up67pIv%2FZIdWUPeX3H50x885dh49S8eCNgcm5Bt4FXkFeAdHuaBhbEzTJ7IBZIQzQYY9QpgcXQF6VIPsuvZ9TD6XUU8qG6u0L3DY4%2Byp6k20jW2F36H%2B%2BjDjz7kX%2BBfYFjGyLgYRkgAexN4Ffp6MyQZE%2Bxk6b%2Bfeog979DaQ%2BfY7Q84W532zf9%2BsnbgdHvK8YDdXqMFwKQwZibHlI3Iz0JV4WAaWTKK6RCQssyZkHM4AzCuicNNkxEY10qJK0aJCNMpHxV5BYE79iaQUhl7fez1YpFN4u87GBPMl2eZFoZJhklhmOTFhJgUHETW93qTgsFBJDhm5FtvX34SID9r0fJ1bvfty%2BetcljGXBYH7H%2F%2BkvagtKGDPXP32F9dcvDyvkJ7QD65wF1msXLf5TyWseWiP8AANeSP3uX%2FhX%2BA8TBNzClM2YEYuTOKXFWaNMZozijkkCJVFcmFskExwBwAdg9Ionsfx7rcrXK%2FYhCB85mS2wFTwNyvyKLi6lea3PsIIxjg%2FLQetwsQkrwC8XmdxBhLEWB31uVr6XMlW2TSDKzWvIx0CcLFJq9JPXj1zspnXyTu735XfZ%2B8h%2BfU31d2Xq0ehJMXCwLpWsZepP75xe%2FCFRp%2FFpn1%2FLP8HCYAHEmUYEZhDiFPOqqlJo2le4fZMJHhjZW8Dk5I88Xpp1599bVd066%2F5qr1fbOvvWXv8PDjt1w7m3PN2rKqm184Z%2B4CvnvVlln91950Y3nNmvKNN10LtProm8x8%2Fj4YewtjA5aKenKeKPGYiYcrLCD%2Ffg97D%2Fmluv1u9SZ1%2Bz33slwLFUV%2FUmcSj%2Foe%2BWf4pHzY%2BBs%2Bxs8odhC%2FVAzxwERypuSnIE%2F4dY8sFORUIZ4Spt5n9r8s%2FM73Fn33naXLjnNH9sqdv%2F3Cjj984ec%2Fn8C7HpjHeZKPJYdIb1%2FWFyJeY1wiEhlNzFT%2BR5mZIKN3EVK8L1fZqihbK7n7iupHdzE4%2F%2Bj3l9B1yco44Xdk4JoIE2dSTCeTgRmhMGUGOYivlvwtICiFjBLLKaaq0ppVrBklmVNsVaUtqzgzSkdOcVWVrqziySjpnOKtKtOyiH84m0NyEKWXjiNf3WeyubytclbhXSii9pntooS7%2FqrSDO8aV4aySkt1X2tb1zQ81eIqReHKRHt3D%2B5y1VIeBZPNCoIp2NTfrzjFUnMIBVQPXS%2Fz8fykF0pBmKVRcpxzvHJ0f7H%2BD8TN2F76OjB%2BkF%2FSeAnKUhBOx7bWjzC6fNPWRifQMMPMZEaYsh2p15UDtJFkoYwySEnTC7wxi9LDRddHP7y7Si2AOBCtvapMz5ZOonwD8qEPJK5PEmFMo7FkgEzcJ59wPgRcIIVCkroZ38e32fUnOpNtOMxe3LAz9sKJzjAgPSfjvpw5i7mUuZG5C9ZqSoXS4EU5pEOpt5hFSpSWbM0hLUpzroT97kzp9C%2FAfmu1tPqWLFBnFKlTciHTmYH52rKUQtNAUs1aAdv91dKC9fjpKm2AY5tvgu0LqqVrbs9mS3dTyuFcGCDabOgksaSY%2F%2Fh9kv%2F%2F9vqQVEGCneCNjP7fzmfre%2BTR420e%2B6%2F%2F6wWwztbkReMYr9V5fJDyeC%2Bd%2FktySnNVmYOjqpyOY6qshhHdMGFE5ROMaGnj8UfP64PdPjichF2jNPk8jgbyPZV9UY36H7f%2FydRmD%2BDO2Bx8P%2F52I83Hv%2F0pKIoyPMTE%2BA%2F4DsbAMLA4pEgqRB7hsgfHvvYj8rJ6OtcLWz%2FG6y5kLuTn8fNATuN1BTORzUQwkwtJUH3rIAmS4EH1LfoGH8MT9w%2FiNbBWTdANUszzE7QDUAviOSVUVaLZcnMI1ZzmJGg8oWbcDEVAv9b1h7YG%2FSEJAiucVRJVpSVbTiTx0kQcvpVM4GayGb6VqGsZ7TDSSdAyyqwPRHa%2FkhAVd78SAK1DdgUbtA7ZDVqHq78UAu1jH2OQ%2FHiuSSx7A6S%2F%2FxN0Dw7keU7KSXEpnv9YPWResQKi%2FhO0EfUUvAile412X6a0izBnHE%2BzapmqWUV1zeo51KyaQx%2BjWz2HulVz%2BBO1Kw6WsY%2FHDLUG8r6O2I5r1VcFH1xlqiH2InG9CIhRXZGR%2BQdAf2iC1X4ug4ajBdDoouuSUC0L1JgTwJhTBFfJBhh5qmWbBw%2FawI5Ck6lkE2CQZH9zHACnmpm7IIE26wVg873JVN7nBg2NjaVZok1g1HfpBJZ%2F9vj5W4%2BQs49sPf%2Fxn522%2B9V3X919Gvl1SCri7CjiAvU8aRt%2BrFC5pnTkSOmaSuGxYfWXz2%2BBq%2BBiYhtfs2DdLTIE5FKprsdMY8o8rjgmWy5HFFdG4REfRMIESFjBTNbQcVZLIpU2BbCwCRjHtb8iGCNdFRj6CkGDhBxWbWh5g6KwAukWZJr4XfwuZj5zMnM2g0ywoqoszih9QL2VlHoLqsoCV2kp3AMWtFVApwUM2lBDwPZLxX1OKdePrNDqLgUyYFiWVgDLlwRQYJTF4j4umpqLZ%2Fvcpc6TkOE93gjrixDBJxdkH2zmsjPZvplE7iukCn2wme%2FNsMkMKSRTQioJm%2FGYkzU6ScooyIIRNg2oFEpeYywZNN7POvzciu7BWw3dPYZkW6wpkzSmM4bPTZ%2B2gvM7yZcMhi8Rl8yt6Br8nKF7mlG7wpDtMtw6kF7BBezs%2FUZy%2FrbyNvjPnhJtTxp7ugyfG0ifzAXhlMFwP2sPcid3DX3O0NWDX27uThpzHYbPzciczAUc2s87AtzJmRmfM2TSxuS0wPpt29afsm0byEKBKX70Ea8YvKD3j2ugBeYOphzFudYK1v603iwsFalMuSPblwN1oakKKiYqFY4uOJ7JULsVzPvgIVx1Wl2lBM7DrNKGmmk50UYlFAMM3eZCeaRMAy3VVeqBre6s0ltV7Nlybw9e1OuBi3pdqGeCUESHAHWi4CJSX0kalhMPqJ3aFrKSB16obnr07aLTQjwD7aSrfYB4LE6H9ehbVkeRu2WgfWxO%2B0CRyhjkM03a8CRrcRbbBwba4XtZq8Nx7BJkvvbBwXb2wNgc9gBYxkf3a5uavQR%2FBon%2FNdggXUzZTPV14HvQz82HUFc3UT0bqQRMXzKYQPAQOlnNJF5zurCj7C0V9SD%2Bsaewt4xtHduLcoRdj%2FyOAvBtkBMORmRiTBmMpU6CXA%2FSzlgtGwkSzGgCieDRZhPVSesUISIpOqzkV2TUYT32jNXBriddAX6b1aHaxs4A9Dg34o4ylmd4%2Fin%2BKZjDHuCB7Qza4M6q4kUhW5a9eBtZgnHx4JBTwxAgsMOouUpeQHD8ogBcJLtwcsO8R6Ox5LWDnLJwDg%2FMrJIow46Zd6Kty5S8TtgTGLsLT3nwlJGINl0Qu1tbeLeL5Vta3boA9qCEkPg9xE3mEPeePer76gH1fd%2BHZO2HH6pPzAeR8Y3GE3v2sGepT3yIp8dUIOlBaiuwHz3IMAYv0BTlVVq3soQcYgwWlTNDHQ9O6nggZmRhlGO6tIqTHAd%2FJMrFOU%2BOixfJsz%2BVHvb%2BhDw79lb7B209bzY9wSvoQDm6gq4FhzW%2FD6vr6No9FzFlK95TuxuYICQ7LirLvIC35hlN9NuBjhYqK0sCD5KKNYOksosgX6lXDL0g6KcEiKjtRf6kvoHyU30Dtn7z7LPUjwciFP14lSKMM%2FAr2PfPAhQyE2bO0TVID53LBhjYCB1YsaqI2kIKymSzqyTBFiiOLbikiqJ7v513y1Q3aBaVcL8iuffbDB5fiI6p7IE1l5jMTFBfUXuH2WyYpUsRqY0kR4U9R87a88bhN%2FacpX2c%2FgFZ%2FcEH6lMrdlV2HSENJ%2BCDZdWnPsDzKp2uwLQTeTbIbKzxrM6iTQ0sipiAjeuv82UzYgJ8uR%2F50ouY%2BEVF6lfgCDKnj2LicSImRoGhetDxWZJrgokcF0%2FEk8uPHNl1Yq5Uz9ZwoUzC1n0KiE%2B7Lk2AR1xUsWcBJW8GRwKMbzOocjxxUJ0sL3qiTTVZmJOjhRwXrXAt%2F0pA1m23OiqVLOnKVjaOPRwgv0LJpSZg4pO3YJk9PIGGEuNn5jXMe6RhgNIQYLDVKRcEyok2IAxvtnA%2Bf30aU0L55CmE8uj6SAvMbMOJyPQhmUHaJ5OJ7IcRf%2BpJOH8nubsCnFvTmZqZVQy6mWFsxYwSADhDFE6A2%2BkqWTReDQOcFoTLwHu8cgCH2CyWJB%2Bu%2BSKOPGHMXgkPB0SFAu0Ns%2BhAjnuNLUkXOpmFqCjAiu4gsq4k7TqifhU0otsvuYeM3v2Vl0EjYn%2F0rqYWbQFVCTSqk%2FHMdaftZjQdj6Hwupgocx1TFnE8YX75qmVfBOe4Lwhz3I7zrmw34AE7gy7ymOacgIHXGDdYLcUBGReqMaK7HwF%2BXjBYLaCbRBH%2BoLtkNiFavggsL1EqHsx4nQGd6JrLDrApiNFCEt3GnBgVQJHpy%2BdgTsZjKcRuy8tfuVvd%2FMXNt5WOLCSj9HOXdphdj4rfdXh2xZESLk34SY8xsOoVdZ49nh9rBaOYMoo%2FhyIumMWgRHMOBy2URWnXkkMxE80ir7XmUHdPZKmJYzpUtrm8qGxYq2WH2wdbqDCAtMOVDZf7BBgaqYaXBxb8IRKVEnntpfmMuFuOvVlzEqEMHH%2Bh1wnd8tryr%2F0f21us7zbIa9SHQF7LOHYtmo7TCiN2CEalbAjioBlQUgdduNQpDgC4CQ86QIdBBYgpteCqxjsMQToz0Kc0MG4w5xq8SaDcaOo5KB9bVpKulVuoInJsK2guIMWp3Vpk17cPVFZu2bKyAgrMXjjP%2FmEX1cR1XYH6gTiYy7K2rmEkAbmJq9J4ApAQ5K5nmITZYVIQHSTNGQVAe%2FC2a7ZefmGxve36W0Zvu%2FJUL9KPjA5Os0ebDMtPJodPnmtpa7PMPRnJwuly6n7g6h7mJOZ8ppxB6gznlGRV6aPjHAIyjei2DK5iMaBNZ1XpdJWysDVQVQZcJRdVG0qzgbWznUAjmzXUTKVJMgOzU3B5vBxytw3WOifKObFuxQyTljCRxvfTbMzBSh5Rc0sgQdEtkZi077CCQrfj98T4%2Bx1085xH3nj7jUfOqdhMe0w2%2BsauH98mHpCSVtJ1408vv%2FynN6oHtb0r4QvwvSvHXiU%2FxAvVXnxv2NbleIVfz73NGEBnY8SoQTRESQHjIzJYBSkwczWpzyo7dsyv%2FSejILMr6pMNh2q%2FxW2mv%2BVk3AxVExyHUL6JehAEfz1RABtDSIGYrf%2F2gbmXXjh7rfar%2Ffnbnv36rX2X3HlPbfy%2BzZ%2FN%2FZX%2BZogZpHEr9BKH9d9G35BHEzwRGB0PrDb7XD5ZW94Jgwqcw6Pxc4BEE2KC1O8PVpIEhrNcQMuIaNCQeygsZwrXXy2cbNw5aiR3A1zH3qyQVwCwJ24tXHLn3VXT%2Fd99YZdpxFT%2B3VtlU90%2FroBUEYGbAwBnlNokM5nZYPstZpYTonF4adocMEbc1XJ7z1yUGcFMOdW5RDNQyonupXgslimxRjgSB4U8C2iWHAtgL1ot9S5Ef%2BcKNFpKhjD6RqslDqOSIc07ZkfTJldV8vDuKqWtnUoHdbnMypbT1M%2BSjpk7y8TqxLskXKUCfGfOAtgeqJaSi%2FDTVVoClBzJKsur5f6heSjLToaLpoVgZfJK%2FkDvTFR9CwlY0Nvap2OosxRrAgp7vNOpnRoXy%2FyMAfTZhN2zzAZfoK8wODRrNiV%2BT1SM59HdkstH0ZmuCUcCLw6EIofqYB5UQ%2BqRwYu0oyAAorirXc2BuCQoQuFFDqPdTUaLRdVGtSw0xFF4dmkWueajh%2B3K2F78wEuobNVlbBcIDYwhHsB3lKfsAfwlelGxAltF7m1kzgqK4814EQpo7hYQvnM0P765Pu5T15PNmvVT5r3NOLr2akkKZbP0GNVcW2nQUPMwoGyxZVGtRX0QTBQryhq0S%2FywBZZrk%2Bbxj1dRSJdcGMwQjP39pSaQ1jScgf5%2FNCGBPCmgmIwrDXxK8JnXP3Gfol2pryKVCvf20RWwxb19zF857bTjfk7Q9QRN1xN0jxZPtTxUZmCKU13PLQBrMEYr1fVED64cZsJ4ZV%2B20NebSsYEAhbu6%2BwBsOh%2BGQqvCofwDYbgVxYn6Ho27nerQ%2BFwCN%2Fo3Cdg%2B%2Fxav28A5Ld2Zzmn3VzxZmu2nVmL%2BNH774f7%2BwKU55rIVAgSOfSeElA4dUB%2Bod0Q3lhrEY9kyYsIktUxCSQF9%2BFkLfao0cQCs1y3yjS910qXEktVsUwwpy0MejQFE501Au4Q3kDplBMLoLuBnhMVi89yXymOuYvs%2Bzx59pgfWLBIhwBj93S9LMH9GMBA7E3COmyUKuRF8mJIOvamFCIH1Ln8Nm847G1Y91A%2Fl0G7OYUpJxBGsJAs1Ga0cLXUCkXIljnLBAuyjaIA3MlmkUFNmm9E0FyzJiuuf85UTPPkAYOhGg%2BTOyp5YItLE4RM4ArDBPWGCPFRlaEC6gCw3LE3823siuEzWZdFHba42JEk67GQwxYPm2StlrG9FhwDmLNzKhX2ta1byam4lh29%2BUsWh8OCbxPyA0JMgukGvriUZiOAqGvPKN2gpmVgMhFM%2FAAsItVyhPonIxnALuIqpejyXsoBKhEYBiXQX%2BpMAUrR1kQLXTS622EvEoujRahExVK6BwSax73fGghmpmmKkZbdoPko0zws2A7WSbMcGHSheY0x1uvD7IcYKn8D7dzbqBzt4p25wqqOSvvKGWmrbRdoSsXRyuhoxTi8fnh4PQHq4FWoNJma5uY7YUfyDrSDKQzXjJIWvGj4TKrv5enYPgs2cQxeGvfZc0q4WmZtKN2JEs%2BUWnUtNA%2BW7EwSlWEYpGg%2BmUoTWOviYAA5iJMQj%2BzJk4vbh1s9p5PbVro68%2BRrsTZ32GhUbzxDvczfbOtwOsmmcvrKEV9f15%2Fe6F43MkI6PGmHnXvrmHtaky0oCORfyStfUL8HPIf%2Bn%2B8Bz7WAlOhhzmXKLQhZtKp9Ejo%2BHVWlJ6NZusBhdJT4Q3ANLlZRWLYwvQa065ZDIjArHaVEGkbJBwPTHoWN5n6lQ4RdpQed%2F4BgniZHpLlU3oDeSxyJMA%2BfJJ5CuwGHKK9txEFHZc2%2B1gj5xTXflqMxqw0I3du55bHlla%2BdctMNZz70%2BSUX7d19ipBr4waa5ZDdKcwnyhcKZxTaTAJny520Zd7qu5dWNq4%2B9ebi9UtXbqzPS%2B5Sqnu36CNBaJgWxIADo94oovR0BAS14OnDIUjlo7KDcxLO6JOlytIrTE9b2uYbzQbydTY6IxYwGG6yTJvfL8zOcCdPb%2FUQjvT3m%2BKphM127F97B439DPvRc7pfyAxzYBtTbtLstTJr8OGCYwOut1GudwHXW4AjklRQahouWp0wW0AHCFFfQ9lPAzn%2BIAZy%2FDSQ0wRf82trk7OKc6ZkAdlaMlDbLdKkxSRsosLDEKRg9hfkuJgTPGIuCjswGp1ElIHdCiKYpJy0ePHiG26A15Fd7IFdWZeUjsYqRXVzsRKLZrwiqH2PP37szce5c3CZDaUkM3vsmWyxmOVWsmYpFaJrUPSjb%2FB3gfxDfO9gQO0CfNkqNVEb0bUA3E4NXcuhT49kCHSbfazJTFDRcfnRGgJRRsUCawL8GRDZSkQE2R2ksnsmASRlAWQfdwLUo49r2BU11L2ZcdTTkit3g0YZ7sd11Me2IOrsnTXU9XyBxngqowsgjHLSZeDT7ockfglaYkf34zvXgu%2B4hsD223TbTyOY62kEcy%2BoLris0IhL5WO3%2Fh5YxUn7nk84PxHW8e3KCcOtdXDI4fqmuvl4R48Db1L3MoJ%2B0Z3B4EAog4kYQxmlt4q5GHq%2BxRCZGCf25D%2FdfiMmxUayVxrHozJhELSQFwDPXlTfVN8%2B3tGPx0vDSMPuk%2FASP3W8%2FPijdaLtcaTIrE%2FYRJRMx80twPyRlTp%2BS2h%2BwRyaQ3M6zaFZTfMLLqL5BcUsYrw1hzGcK0FM3IQ6QtnVMi1Lsw3K%2FrbpaPXc%2FL%2FKDDle5sf%2FjZa1IOfHv6G%2FZcIc%2FsTtT0H1Y6OfZoSMH%2B3Wx8cImmqQ6WBmMItgZUSrPUmz3dJA9cUZNDQ185yuIBiOBylK42CfXrRNSPg495XHHkPzBmcOznOcOTDnu3BbPTg%2B%2F1VbDWoUBWAWohxWbfySo2%2F9vcIO%2FhmpjSI18ONswFdmyrOoP2txRpl1SJldpehO6yn8H3HD0LNHpulo5NPhx7UUo49XKn%2BvHD%2F6FjrV2OQNi4uLdR%2BRwr1NvTrdNHMRphhafx6qYoP15YW108zQfAymxNt15y%2B6XCammYHl0hVh3490dUXG3JEu7hYw1z3snXR%2FC7yTopa4yzXMcxkoe4o%2Bu2G5r4VyaR7FBN9zqIquED38gxkVoQBAJPYrkljyuKniApCVXR4JXRRNouLtn5o4N5MYUsQjRt26Jh908%2Bs9gYDn6F53sPhX0rGIJN495r9o2eZlyzZ3cYfdwaD7mA3e3%2FvGZx8kw%2Bqb5LD6Izy3DOh270cf8s38C4wXtPQhHYOQBnuEwq7lgKAz1qQFrJokIJ2dR1hDCKvA%2BKme4ekFayobJl6qtaf5VBJ5iZoYxnuv%2Fel11%2F%2Fk2oUL%2F7G%2F3xI754wrOme%2BeP%2BFm%2B6%2F%2F9Au9o9bf3Hztlf%2F%2B77L%2F3tkxBzbdOmexZ%2FfRc%2FcjzrVeHxNYhaOR9e8WnTN1xBd82hEldHDJuogYojCgJG9ktcDihJG0Y4bQ8uJsYmhs6VHFWVyxMysfvUItxZguorhuX83OBkf6HkMoM0VwkbU6oU0WwgTuZBmU8m%2BmcRBrppz8RVXhKWFy9ctnZlYtu3Lyy%2F%2F3k3bHKed5hJ8aYuTNZtPL5BdZ37za195acP8u7ZcfcVVn5t7ygPFAd545je3rbwoeLbRt6ht4Y7e3CW76vbyS%2FxnmGYmCmvlOqYcRGo4qxgVwAFL0QHToktIDV%2B11IbUsGEcOBRG01HxiaVIDAliwlCxFNJCHry4ryUWT%2BguSOA2XhYmKDoFSWO9RIGkzIBihrzzKLkk8m31FTQIyeH2gco7j6oHH32H7P8aefBydRP522WXSaejo%2F3Rd4ymb4ORaMMrb6j85tF33rkwSx68DK75n8suW9M8Hs%2B9D%2BZSM5NmFuiYwbSJZZRUVTFrs9mlGAHLDMXSXkWHIlOKuYAFpVArsGDJHIS5lOgv8Ub4TNantmwU4uO45GuokGEuQiQzkWIOAyBjYG9dc%2FdkZB4Pn3%2F%2BWeEQ%2BYz6gOBfMHvt7H4NoxUt62sYPZAHhEg02esxE%2FJTMocM%2F5J1yLnZF4%2FjtZf6AeK4%2FjfpeJm1EWvVcRkP%2B1P%2FGY3wC%2BEI%2Bi8wqyoK42UGRPf5wObXxqvUEm0QXicYLTObIinArWtopKw%2BMhm5taSJLdyhrrxHw0ku1VCaW%2Fk64rRD%2FT2eP%2FmLWn62lpckM3OZshux8FHrEewbs1ao4z2kcFnEzUQLdUouL0xCI5VpPswJssswH1mxxNio541IsEaYSRw%2BzCQPH2bMZ5bQGwoCN%2FU96g2tfE99Dd4r7Gmk7WXtyMvqL9WDL1eoM%2FXlcfv2FqCxB6isRQWtOer202gL8Ej1ZA4tgkHgT1OAKpp6cli10Y2spuWqi8l%2FHN1P3lYX1XIba7IeJX1ZQj%2B53YkZWX56F7GGNVMLSdXuMn4n%2FUY0e2DKzdSAfkN%2F%2FaaEub2up3j1eg7MhREy6O3CnBft129ne%2FE32SSbHP%2BVBn%2FcEuRCoC4tnMGrKF9WmCJ3C10vIwxTmJTQNjnBrXL85N1dx9fe9HsX%2BSX095nCuCtKcwg2fmkXLugN30M6t9Vwpr4KQyPOwDciLNDkMNs79kN%2BCSKMFSrk7SljRGMZINlzNebksyg0AvWfIZPiWXk8BsMzrrSiqoV3gNdz4yYn%2BQYOEtwPswy4t2t8R2F1aHznphVZ1qrOd9Hj3aur8U70PhPuocUfQafh26hO49Z1GlRoUFQgO0%2FWzaNkgpnGLxl7%2FUhdCydOthdo9C1G4P7Gf53m6GLqbepb7Io%2Fqw%2BRjX9m140pfyYbYQtxc330M34lfyVaMwkzKRBZkOAg2ag%2B9Bd2UCJjyov00rGXfISMlTRZxzEc%2FzT%2FNPXnjtDMB0cVS9YQav%2FUzIeAnvmwDzMfqP9CwjRZzHuYmvWQAzmBSmVcinN7iAfkrGfPHvU99YD63h0V%2Bo%2BmO9QP7tlDTqaHJ8DlBB1iPC8J4XI1wGXX4MLcIPsEuGwWjGcwsMTwsGqWiLF%2FMnjRfHQKWFh4cRygptIqS2HS9VV%2F3QmmUUggcEebC8Uoj2DYpSk3lwtyIVVICSlBngzEqld37Hh15054P7hjCixttTPwPhEmcSJM7gaYPHWYHOMwOafABJwlpCZDs4l4ye5n3z1vCiS3qO%2BQ3c%2B8e54WTx2HYzozyFxEIemvKoNUF4hS9bpXG70hOtfCVSWsuWUBvmGAL4zrTbQX1pu0uN%2FMt80YoMOYGtSHUYmKSgdmKpdtzjQq2r1iyUim4JDLood82DCD5hV4jYKDl3PDfL43zWGlpAf4cTKGr9zFOwUja2DNvIP3cB6fSTY4UyE%2FqRjc3bHmeM%2BcnqbsyXOTt0%2FlVzbAGm0WwcCxxOvy2VyElyNDSc7Snl2fzS1p8xv9%2BQ1qujiBPhjJHahxtEQXZDdN4vFVMdeIH3ftltxSjYd9qB1PRbcQxYgnJpwfD7H3yKgWeJwK%2BB1gEBUrcL4xDucHS%2FMCpuzV43ARWhDFZMqOQDRHi6jKtng3jQNMQ%2BlcNjS3o3%2FDUy0L4RT6N3pQcwUVYl8sns7Q4XPDniL1lxhMywn1K0Qsh9vatThePjdMCvmcFGZlQMBBBCmeT5NUDtRxONpXiOdzsAsH4VRO%2Bl7kts9X%2BrZscv%2FgB4HnT6l84fbwBv%2Bliyv39b5SCZy7qLL4Ev9PyeHKDfcFKxXvis%2FOrZy3N%2FrSS03337DwYv%2BPfjTtq5VFF%2Fp%2F%2BAP5ogUVjV8b8%2BYi4zlfnroJWM%2Bb0yUfGn6YM0VzvrzBiclxNC%2FgBMlxDVkPJ0r9WnjbbRfX%2Fp84ffNXDVcxU%2FNVJ%2BMQnIpD0wQc%2FJNwCHwMDoABORH0m3as%2B%2BFO9bETZ%2FjFd6yr7lQfnwJzkw6zj7I%2FXy8O1SR7QIOZFofWcu2cXgqz6NNhdjQdJ9dOJpji5aHpXb2pKVAPs9OLVz75YXXj5ic%2FHJiab3dFkS0Mfzj2wcCHT27eWKtXPof6KYxMkObcYThW125KrAEYm6HKMc1kxuLhsb1snLxEs5l%2FPuX7ep5J7ft1XxXWoIOWpH2fpqx2qQPqLNKtwfBDmKOLYI4aUU8yUC%2BQQHOw%2BCr%2BUIk3NKRVIyA%2FJC%2BSA%2BohrZx5bC%2FWFOLvfAYG4a3a7xhrv0PGfweWCcXYrxdug3ryGdIGsHSoM2u%2FU6PJv1K9DauowZhG0B2ccd4d%2F%2FEgXnWW8g%2FbK7e8%2BvT5JuLUsGBb51zVKGuM8E2xlp%2FlyJScuo4nE%2FjzwEuMyjeT5E719Zvf2UmSN6ubbyaj%2BgHOjEdgF34vxsT5nfxO%2BnsMGLpREWxd7VdiJIUXqa%2BRvTeT1E71tZsVOKJu3q6%2Bxubxx1I71Ne2Y20Nzal8gOrVcWY51dpaqkqc%2BrNDmVpmBWl0Cpk1qy%2FgwuxKm52PxrUs0DjIaTMuVyER6Nk%2F2W9BPGGCajrG61BNR7Fdy6zUPsjaGXzc2%2BeN8zN4v%2FfHkn8aSO%2Ffjp%2BHD3ae%2BjNvKOQlaXgfewlkuKFO1yTTwUxjemGF6WXKKZTkPTkMjqLUhsW4h3Zm6KWdGYYA%2Ft4e0b3favPkZ2hhdzEnRWlyDMDV15vMEKyyd8JUg02cVU7iIF6JlrN6YlgEQrNtCmHMAh%2FF9eRSwrEx61CqJfSfPrdHej8aSg1Z4ix7aRFzwYtczON%2B9Vewedf3DY4WN8u1aBZikVg9pqdS08RRu89vG3WnkyWT10Jo14DDG6Zl%2Fhm31M3cLS%2FZ2tf1Ix999Cf%2BWVo7lB3P88uBtoEpsKVeyk1SvpDGHL9hQ8HLOvg0Gxf6fIW%2BxDAmEaSSMS1WzQu%2FNJs4aXo6c8G5X77j7c90LfrMZZ%2B95vrTVznPcadmF8j0eRs3ndbu402CNyrGvzI0pN51iu%2Bu7%2BYHbzp7%2B8Dgmlx3uD%2F8gvrDn%2BxekzMbPc7CjfZVI3uTM8%2B6aXXWazaEArkrWlpe%2BiHOmUsZGz%2BH%2Fw9mAXAZURZSjppbVea6SoMwFIvgNTgX2GdGH029cXtlWAl9GrBhArCCLhMmiA9f6GNTPtmXSqbSbAE0nDDn4AUjbpNLDeZ58yIjM6a3OVsc3uVrRUPEZzE7Oc7kCLT6%2B%2Bdsmj3LmXz0H3xSar7TvXyVIWfvOH9R2snaeBMhVlfQnZwhC47emeRbI%2BHpN3ZLlsTwUHjkvdSKvcXowi6Pt8Upm6yEN3qbh2ZfMvspsurirjUPGVgh%2BrnX7jNFzrv48VW2gabepjY54OIt6aVrW9KXYJ3695gb%2BPf4HBNlZjLzmdkMLk%2FtVWWGlk66IKMMHlIK1dJCIEIBVL5ZFnMgaGpvyw%2FTPC%2BmZJ4hup9nxNZ0fnhkPhX6QBdjNmyIAFmMsbQhVQgbskCZNJ%2FSio3yvQWj7JMLmJgwFDQ2z1t%2BxZYvjn5xyxXL5zUbg5MP7BZmd5%2B2%2Brqbrl55StcCKymEZvSHe5T%2FUdLn3dpzwQWJJR4vu77N0rZu9Yb5mcz8DavXtWE26MR9y4ahM6d3tuVOH%2FiMgyxMzJ0RWHQKlryvWbjuiq2zL%2FBvaG3FaQq0YIAWCuOjGQ0nMV9jys6aJTqSwWxQpS%2F47aH%2F%2FM9fM1KnRXGmHYrtO4aSg%2FzNodi%2Fozhd%2B6xOm6dzn4u%2BB%2Bh7kL630vcEvpfhbMudLXfGjWCg9SuBfiXYr7T2K4l%2BxdrPPG%2B12V2BYGsirf8jsyxwyOGccDCdVmYFCaPRGtOncySOBC64kaw6gWcSmvoBVxSSMAgsDghfJ%2FiCocHEverL9yZWPnb5BSnL7p89n9h0FyVqRg7PcDpIW9LXnYlN82TIxs7U7JvT9mBQSJx67hfHyS3uPLriLunc86%2Bd7mxT3%2Brb4X78Eo2imXXNK5uCY4%2Ff7UxmkzP9s9gbp93Td9csb1ubrXfT2efR%2FghfBeHopvqGG3PRk9StkQKQBbSkQX2WxCaSj1%2FalDA4Ek3S2DbvdO%2FYtv8iL5AX1Mcx4DNnzvwWviVmaDl6qMj%2BfKy7iIIMu4PU8rUkKnfbYVZj8ihyc0dGSVA568OOOGUfzZL0%2Bc2d5YSvVqNa6gRO9yVguofCaJOZw7DpS1CnfL63r4DeB%2BqPChP0FaQSIvUZZEhcMGKfhYJoMCaLPifZtH7rerLJ6fOL6gPFoOfMN870BIvqA6KfGNu9PQ4yl6waXr9%2BWH1a%2FUdHj7fda7f9Tf3bab5ZXtG8bJlZ9M7ynUaEv9lwNa7le5sndWEowGpSzzllVjHr6tH3PJaZabkwmAUEhj5G3huz0j%2FltuYLObqfXxKSdmHi5C4pVPzYfzT2xL5fuzAkHVtUS2GH9ebv2tL89JzhGv4ZxsK4QJc%2BieppfhpZ9NCkGxNtL8Flx40zQmsRfLDUW8V9gt1N6yhcYKU5cBCHCPZ6QC8pcBmY%2BlFSkLV9WCDX%2FwUXvYfG9qpPEu66Hc%2BpT7KP7bjuITz4l0qFXf8yelBfQpXtup37x%2B7beb12oNFf5gZdUqsBdoEhmZvoZZoYHiNiPJasZYuNPaX%2BpIjZ9JgQpuXPIzcPMFqeFR3%2FBHBzN7OBKUfw983VspmWapgxj0%2FKYg5MRw7N%2Bk6gRpr6UpPYFAMbcXCukpvQDGEZSx5LGeByDlVckDxusRSOALlkTI7TekJJXhAgoKgPG1O9WLzgdRhAlNfaMYGNahTXpPKJgfaIaAUbG%2Fb9qaXnfuU7Xzl3acpvxPZMpItdXzlyWcvpAavV2xxv60r7RdORSsfKbRdetiKXW3HZhdtWkrVaIi9W%2BWG%2Fod8y3%2BQ%2Fw72BWhMno6Ms%2FDuygWz87dg%2Fkd2%2FQ3fZ79jZSOt5zOv8D3mmVhtvJvPYOezIb9WH1D1caOwFdvbv0Amn1dPNYIqGLaDjm2AetTGoU%2BtOGIGq1uiB4QVNRdc2HLiE0QpIGTQoeKFjXXyZdJKuH5Cbf3HsTXLvL8gNuN9ZYQ%2BQJvUPtBUR1rVtVv9AmlCdBxjdMGZPwJhlAdpyDMcrkFO6gPYuJallB2Pwha8im6BsAhWpFbMXMWWxWYtegLJUkpsBpG46KskC8A7oHOj7RM8n52A7CV1R6QjRzzgur3hZNJZMuQ1OR4C7KWloEs%2FEydj3CmsKuyOhjpB6EN6yNI1GnjZ2W0u3gXvS7%2FY8LEpw%2FNhM3u6jszervYe9UqjS4WMacoOxjsPZmAHHozau2LMUl3pFInZdIfmczvRRCQulK3rB62EsXuVu0Qpatd%2FW8n%2Fxt10wVvXfdtL8QYP222IGGbnBPsuRKBgW4%2FeIEmy1pB5suNMxP9aW1aYWOhoISQOPbacyNapVs9HOTtQzhz2cNLccb6YaH8lpTJCDr738MukgHS%2B%2FrB5CDteSyXX%2Bhf8ZsCe3w2820%2BoitEctGdoSajydjIZroihxotL4T8An%2FVH1Fy%2B91JADpgCVtfqChVqGuRKsYmeFEC1RMlDu8VZpWVZTzXcXoVZQOUKbqUWwmRpWaJkjoj69J6f8NBEtc1f2YNAIhGG8JpOO%2BdsHIk8ZWr3sHk%2FC8JR6V1FLtKdDBm9kDfs7X6pbHmul3iy6ru%2FWc3WtIKsKYPXQsmsGC4IVo6vUAbBladl0qcOIfs8gJTAHTDuTSGlezg9yw4YBkhATcY%2FPAfyMHv4US9vZ6HIzljw3GwjwjljQ9wphWd4g8BX2kbEzkhnWYnMauFXeEF%2Fg3g5JyLzYMCDrz9rtR1hB8kXXHAF92sILnIElR449U1HftVlJs0ROVn%2FLraS%2B%2FmdoXgvLLAL6nwf074R1Nq9XEeVoRmskhzLVny2305zq9gTWxfVmtNZD7TnAqqtHi%2BH3DZCCB%2ByCVJIGLASjFEYbuu4ABVTQkDOE0fA0xhY1ed1XzXRet8ptdHvP9ML7quucM7eI3qag2xQuXvjQ8hv%2BMmOGO0get02fN9067SJyphR6msxfus3b4glKnlbiuXGp%2Bq2nAfM2gbOGJHe71yu0%2F1vP0FCPEflTAp3oQf5B1Ldoqyn8S6G3uyCgwzslC7L0x2Vvdu%2Fe3f3msj%2Ft3%2F%2Bn2vYf95EX6Mc%2BevrBrt8s%2B%2BP%2B%2FX9c9puuB7U1uqjXRcSYNKx%2FNK7cdghj5lio4msD1vPWqhaId4BgRAwsbS3xpZ7v4mRBRxFnkpwkRCUunsLgZXFoq%2FNIOvF%2BaCilfrN5KJVtmubYcLe3uKsIhvOLRw7djm2ZPlxc7CfrI53FrpO3CLu6Tm5rfvlfggn1DnL1qwef%2Fc0N6h3FxtqwJTqcm5lyM45qgnp7mRw2A4BVU8CSZ2x2YanHx2G4Yf3kaU2GEtfam2gVu9grQNSwTMZFd9nU1oUucK1et92tdMKqkkYR3kE9STmxIPYOEOQG2aNPwHr6WIZNFiIwBVPRPBcX4jDTPgn3Ioq0sb03kFEggLp3MgEOvgrIk6vpvIT1r2iQ%2BDUU95OYaxl0pbbSFiXtNEPbi2iXe2idfA8t9Rw5Lu7dWnJtN82o7R4E6YJFct2A%2FH6b2OSdSY3CplZAOQ4UEBV%2Ff8nbA5SRB0%2Bi3uWCSIkA0z0BMzpCaElWtLaiEdoqQY566DJHk7ijHSzmv%2BTB8k0ZTJVis8NBLnRYRdvFDusakl6z6eLVm7YLTU71SeExsAESnzU2OX%2FgcrtdaoFYeTMn8DxrsHxxrfo07eC1mLWLCYv5LaNts8Prdly7ZHSZ%2BrQv9XDTKWSV1BaWvCFCWM7A2UwO%2B%2FOr3tVl2rnAN2uZMI2hXEs7omiZorBeT8f6CmVGtjydioPp%2FUi7IbqUYC0CbYIQ6dJqEZBxgNBeF0pAZVALsCQjWFJoa%2BbbKe1CrTThQomICtNf4qZj5Uiqi9KOBSFo0EiBJcCGMFvLYkpx8VgqhzI8WhATAha6CQ5DB0ElMyeeexESyuq42O6yOsjFgjf6lEl90tVk3L5pteUNZ5PxsySxSf36urstBmIAgpl5K1FbuT9W2NmjS8i1Lpdkv8xmfIu3p8SxD%2Bxfa5PIqmK7V336FPLf7636ptVpNXMYaSGqDSmszbWNqLMaHGCx9DEzwEIpF3CuTYc5NZBRpENKAfuZldslKkJnAHlycMCFein280O%2FSzsGWdx9%2Ff0lR4bmdTFY4RNma%2FHvVCKP6VCSmEoancSITVAKw4ZBrA7ow0nlkw2iEMUaso0UdNZuf7hNUp9eNrrkWmfCsdl32qrnfQEN8mwWkTpFNZvY9eyP1fuMnshjAlmLpLlw9SWb1qg%2FW20j9kt81rX3uO11GpEKutK%2Bj4RUXwe7paLHMFjGwr1n8MO63QscM5dR8loPmH6apJ7PKp3VcictwemcDphHs1h8mtKy0mcA5p0YB7SBSl5ypgBzO1X%2FjBEwOWeCrJCw1mSIJLQmkZgF4CScJyqLBgc1SZN5cRBWlVTSSVCTZ12%2Bzfak81qydHQZWeVtf9g%2B9iHMAMuX3yV%2FPUV9ytuWzXKC0e%2F75j2A%2BsKI7xI7sa7JVdOrL7pk9YU4mcha4bFmh1PdDqOuvr7d2Oz8vs%2Ft9pGKVXCZOLv7HvYyijiL%2BjjMkycZB6w0M3R9xUX1Nz2%2FjKbvac1DXTZ0yLq1Hn2Mh1aEl0ze%2FnpNuB42YEEFF8xEMpy159fXPVwPlb27hyRYUJ%2FIPeol7Jrrfr3nrD3qu3oA1EMsr7xIkqTjJV1ffRJgcsGqN123zGAK%2BjSYtGwGi5bKUPJi7yU35nWVLYzYr1Wpo0tLpBBhV0kKErqzC9E8QHRt450r5B4EST2oAUQB1gB6VH39xVdemkKjYZ1GYp06Wvadezz7TkRj1ubsp1aaQcIsPHfJ6tW6zk6gU4J2rSBT6QTraKUGUwORHkXLi4xOhmmpDpO3cdC0vMUGsKQJYLl0sESaHGjDdZBx9U8dyoSZ9qM4Doi0irNyHBg3oyWp6dd8HU4XczvzJebLzFZ9PDuqyvKM8oUMUXZTcDURu17rTvIg5oAx2sCuF2c5HAZPNN46uGjNNbfcese96BuwuGdZ7LHktIFTz9%2FywJepEF7eIbqf903rG5y3YM06vOYL4iyzhfGuv%2BjWHTvvpW5Oz0Se8Bh9gtcnZNE1LIfZgg9dcF4HQaHEFmA6wn%2FsCGwEZRCjqX1pgtuFvkKYlcMkAko5nCkMc4VkAUPlhTSX6kvhjIcrU8aUAyYptocV4D4OnPwFXxbevD4pzRVylKTXUuJpJP2bqckYIzaf3%2BRf7RvuD5nSXEe3kRg%2Bc1U4Fuccabtjnmgeakm7si6eGNt51hQIyh6P1egytjUZbW0Oh4fnE7zBIvh9Rpcp4pbNlvb4TJvVHOmzWYXMSqfH7ewMDpucQ05pmOM8hOshHBfkLKLVLcTMXc2tD5Mp84CcEr262TwvYPXwtrApE%2Bbdi7zzzUaPxcZdEWodjpiJILishLVa4zKbYe0mzpd0hwKh5rDLSIhg8STMJm6hJHdaHB3egNnt4cxWOSW1CCmDnTPwrXGfjeNsbqOFALWElNMqC7HLLrO1ChabyPvXENbI286qxclY%2Fln%2BVsbLMIOkQID0fbJBLoCSniLGWIY42fXRZRv%2BYac6dvdR%2Bz9cv33sKWen89K7Ol3sunNf6Tv93Dvf3vbs6fMyY0%2B5XJcwtAfiBuDNp%2FS8cM03t4LBfgO9VaVArePmDPaVAkMfphPol9OruBQmqjT%2Bkz9U6ukf72lZzlPrLY%2FWG3ZGxJjQ%2F6Jag2CzKdpwaqJRd6JtsEIPqzatdrpS%2BZdxQ%2B9bx9tUH0BHIHugON7fAW0ArNjS6rX0kKrWMVmzq5kSY9INd1ycDKCfCGKRe%2FvYIu4W9eEKv6SIBd7qQWwAwzTaFminJ5gN1INDaFVrKIeagj%2BG1e1aBWgyozgPKTHaddAZQwKCagJg0Ebeca0nIRaGxWlhGHYhZLO47jIlB6y4SkRzD0qNHVPrJR7Ua0fd0rQzbI12pGugvdI%2BgH4GIBz9Rw1jMto%2BoBEKSzppHTozwa7HuKgXtKNaZp47h1F2jKpr4VbMTCA0Fwk9lNgfhStgEFW4ubKzglFX7YN9Td%2BrYEi1gi84wLXQj2MPaCfZt7RrGL1X515%2BL813iYCNPsIsYX6md2x3VtFTviinBKrK3CyWBffTvgS92XIbpVnbSebOWvudpQ0pAbAk6IXrUWsndtpIaqb%2BcFUZdtG4yYLqvsKC2aZOpYdaGwXaB0%2FPfliGSjD2FbA4aFuN0jBI31L3IOg%2FBTAdnjM7PXxGyzoKaz25bKLWG2dfR%2FfgMG62aUk4SlwsZQZw4fGT43X58ekd7%2BKxPupPwC0ZbBGWes20%2FZSghakSWkEA2Ogn6gt0cSTd0iL7lsKrpcUnr2yPXEfM2o7DCXbOghwJt6QjcKqFlE%2FQPug27fzvu6It6ZZvt%2FQYthGHw4c7lrt9odZcbqWvBW9D%2FaO%2FZAb4bwPvLAftCvMdUlW04kCa9MGoVbFXBPZvYEopzDmY2a%2B0iPutzmBTD1JIcpeyOWpEGGG5yWVxVeorEIy3pjCALBDgN71%2FvYCNJeGwfgk26AnDwgNqZoTgN1C5jMdAwpKm4LT4lnkzp0dntafaRHJn3O9sOtVrTp8UV68X5pJrvR65Kel0tY79undh4VSzwTmtNen3ktN7hzb1BeSztpiE046NCXNZw%2Bzpouu85XNXbTq1bb7KkEP%2FtKx%2FVrOrp6OzC3%2F17Mw6kY3G1SuF2eQqn0tuTeEvjsyMD89qbZXw9wp5Xtx99rmn%2Fe0jRhgkH83ef8a6z7VGC374Mc23uILp47%2FHr4cZl2eGGJTC3dSPI2QJkg%2B0Bq2bWIemNWCzjI5mbH0uOLV8HC4HRDVofh0gCHVHYZ0CdlRMsylYhb24jPtkMG2HWbRcY05KJ%2BOKl2656%2Bzz77r5xfi62fNf2iC6Oi%2BfNzJ%2F9rr4E0PDs3xnbFx5mW3W7OEN%2FYtmbLk8t2DwHM712Zduvvmlz6ZPvWj%2BvH%2F%2BrCzPuHneSfPmX3RqumntScO%2BUy89%2FVLb8Lz1zfM3rnrymRXnaPj1f%2FQBfzX%2FT4wf1h7G4wVAYIwJbXqfErADPoyzYKQnQKgQkC7wCSZEL80fgBHvH9kx57QzRkjTyMgOk%2FWCg%2Br1fz3LnQ4VRg6O7BBsFxwkt8J%2BJhyKF0Z2jJxx1iz1DyNk41mzdo7gV749ssNswu%2F8z1nu7umFEcKfAd%2By0G9tEHtyofiFnXBkZET9wyxNrlf03oHYQSWEefA00hqgVrWbemSMWtcXGBnYd2tVGLSDBhU1Gdr%2BpckNyqbR4NMew1AQtZSOmlVciIpRt16ZXxk878EnvlycoYVWimio%2FsvQ2qGhtUXuW1I2HQ6ns9Kx%2BSCx%2F8IeOPYanhia0EvdP54VE8hgozEU0wTjR6lkb6EvKxOfV0DFgYCMJpkf%2FwxUWmvc6XR0OEgT%2FWhV%2F3jwJ2TrTw4SuRV2nU71LSd%2BxNX%2FUg%2F%2B7McMR1KMG%2BzK3zA9wKGzmfsZrGPsoPWNw9lyN089LuhJGKBOSHe17B7AY24Puhzm0AY5sNZlq7hAZl2lLtJZ5t0zMBUQDE5vZJhuuUqzgJAgOpqx5r6pWpqLTY4wu4jtV7pExYyBkG7Ybe9XBsRvMI6m1Awa61fcmDGI3nDQccU0iaf5fK%2BeKcjLcRAKooyV%2BEbMF8Sid483zAGXiQ7ioU1fSerzhnWLjB42PbIsE12%2FfXkxOXflYCf3kKlv0azY4IpCW3l38Utr2gJ7XWKHt1nghxb%2B6Yn1K0lp6TlOspwYHYFM%2F%2FrC6bfNFpYt5z1dMy8YWbDYrlYdgqdr8Nzhzz9hXbpMXNe2iQ2HuvySUQCz3m0aGOt03zprfkCPCZ%2FH3cs%2FDbTdweAqBHYDqChhGk1spo3srNWyhz4QxOPQaSocUvppD%2FrWbNlPux%2F6w%2BbOskD9XwKjVZQ7Na8FUtKPjW%2FZ6SOUYk7xOWukpaMnhzsOt9IFtO3owcUNjUtGLHUNaoHlHNILaEmlSryXPkJDAEsfKJ2T4j7YFoZJrg%2FntIx90ZI0QyY1bMAclOJjfq%2FFzGW6Nz528%2FcfmLOiNbHa2x6Vw395ySRJ7TPiZ0vRL0SXDGbbl6c65J9lU2tlf8EoWUSbaJ5ma2XXF3sKwYG1Z7atL1%2Fdu7g5JHX1N6%2FqyBWz20MDfVYHiYW%2FGJC5EZ4P2qx38w6j3SpaCnfNB5kD1jX%2FjK7LRGr9Px0ZxYbNRJAoJSsYg4qp3lQ0LppZfGdpDAXsZf2TRgFpSQUNhxzbyt2C0T1WlxFG%2BgwF7H7xmN4TxpgDIa1tmmhipbdaYnhgbzvNk6eeuXKIRkdDMrZAwz5LOIosbZah5dXhgwYwtc4uwxct%2BiNfLLSisNSE7chdoLIGstl9bpdkopVyHpRN2Gmjlo6nmERYE8DoNdFaSMUuKiIOqGaLR2nPaQz0aI2QOFFrilQAFZJ9uYIxpNEirb45p3gOOruLBFv2ICFo01c8q7U4OowNiiqVCTRx0DrDGLNHyxcsCRbsPER9koCrifpdQHK6qJO3mYpU31QCCICMUwJkgX9FJIDDReNfoRaNKB4gzr6gxWrSNLwMNt5qJICgESAWwWoD3oDVBqVmF5zzYx2mEmigho49N5kqDdRAGhTrJDlnnBoaBdgD41Q5thVLcigPLtF5xA1csqnWvxRNAnRfACEoU5TtDtrGUMSJLWcUEX1R%2Bzwu0UQf7SLQRyV5aB4hdmSyUuzxIR20A85%2BhuWMtEuEA6tdDTydt7o%2FgyLGYXBDREtL527kZRgzbUxrDA4aOiDCvQ1GDj4oosJ8HA4Chd6NmJTdtL%2B2G9t7YLFYleJgRd%2FVPg8dHTvFU6A4WDQcRMrCFAfPRBx8k3FIUOg1Bk014kBbEBfPacShSIHHP8qVuERSvtTtGgtwJmKxktERsNZqRFz6VKWwOw%2BVBasHlyRgUmw7Sbva%2BixmfAfpq8FtNaE45YxaFUuN4LQvWO2Vk2rihNaD0da2mLrYQHTatrv%2B%2Bt%2FBawV4nRReEDAgfCx0nbC4EV6L7xPgzUlcA8x1eCsakHoz3hODW%2B%2F5qNWdd4zX7jZPLY2W6wXRzNSC7Mn1Y1jQ%2BPD77z2CRYwVraRRq1zU6hi1E%2B%2BcVCt3HGivxdFqsMTQizkJmvhUaFBkyCAWaKklU2r24GbseCXjkyH0dJP3H0ZYsNLykfcmAFkhS9V9COkj72l1mI2QqrYjR8bjfv9reGPj8Eb%2FHnjlJiznrUM0Ad7ikSMatO8%2FPBnaIiCy9P932kY5hLU2zhNhJYePaEyAiACPzGwg7WaAlfKkwUvrC4PMIFNfjqnbBysH3FqnY1AHZNrVGESpQI2oWvaGIooKp%2BXYY0KEJ18HLl%2BDWnvUW6UGFxlFeBCuivqw%2BjA%2BBmxCIS7V814DQXeI%2FyoTxYwfh%2BYbgiWxmUakMRnC16wlQ5Q86PF34kwFwoAtF0HLuI%2FJ9YHhZuhzF%2FoyoImBrsUIxtdMMknvNhjMZrPDZmWdxGE2yerPyZdZVjCbnRb%2BgPrhYhcreNRFXslqctrZCzyiSHjyrM1pM7uMP1d%2FutZTn8uUbn4Y45lMmdPpZsKabCw1CtK8DhCL3vrUtmoTuhTk9MxExSUqzVrnURjSQj6KhZDUY4VZn7R5BKUpjm8mr9Uik8OOyhlnPPoOrkxU6AAxnd%2FS6PctXmDZd2hQQKNsQ01AiGllVutwOumiGgTAEg22mVXz5CRR5QOT7Dl%2FIBxpaUWtF%2FSDOFYtYzWLyRyOxenRoEi9bfUi65Sge920gt9CCvMVE7RqQJ9Ny66rVVQ%2FuGVR8dF3yJ%2FJxvvI4fvUJzSWOHvh9ffWGPS6Ze88aiZr71Nt96kPTaltObVWj9NEH9Lhaaxw0apysKUEWKKBuoeq9iC053mzxeF0e7RKRrkJjhCjYLO7ROaENTqs3ljiRFU68uV7Lr98z4mLdNx4%2BvIGOYa%2BUBfofmm9C7eod3CgD3mUaBGfCfQF%2BnQ6NzqQfbpPsSYLzCxt7Q%2BrvMPK%2B62uY37yAnkRMxmxWyY2l3Va1Pe4FuxGjGwytiXLHOf%2BnZPu%2F%2FfdXEshNE%2B4excWqauzyZnjd2cP0PDU4aNvTbj3jXBv7LtZw11boQ1aY0rQ6GxZvL1Iby%2Fi7aUpuIMZOuHmPezqL6vzdrG3Ntz8u%2BqP2dW71Xn3j83I1p%2FfhXijz9Zfx1yqYgDRoPUi91HMffTWPrx1cDLmciHFJTxYWdoIwMaDGzez3%2BKO3HfwPvKjBvL%2F29mvbjz2JmH%2F8T%2FhjGo%2FHhzpE8Dhyf4doHhkQS7I1gZQth48%2B1UO7%2FY3ck4DMYoHNx4k7wB8977HfuvoH7OaDJPxmRz8s6BJmbDOg6e2n5lWPhmr2HFOK6rHmh8zkfkH1IT6%2FeXsnrEN5CHOdfQV4lKvJnuq3BNj02sysUhxwyrMpQyuHkYYSCMdSHzmhiNbNor0gRI87Jmytef%2FgfwxUhHkpO4hWkrnNIrustkna14hTaTgcwhkWjGOOm4siXiHpCPA8ZWwd9fYnF2YKVYs7uLe9oapEDz2DBboq5tD3PkVyn%2FDtP%2Beh%2BbjzWJQPwQInRRCJxgVZaNzAnjh2kJtpJ2KmZIRRGDZKvv1xvh1oCSQfhSkRAHLo7hxwNR3r9mmfg4hm3v9NWTj9WriN40Qvq6%2Bd82NAGAJTm64Xm3lnqjU5orR4KCwykycPiuxtQGYRENnBY0qQorUaeJpKIvUwTj%2FCfWQ%2BrxOoOITT9xY%2Bz8OivohvYgS6%2Bir9ORNX8f3Cb1J3ZR2F9E1GWjnoLRzoEljdKHKHcRy5BJvytbJ5wQKM%2BOBHLpAOl3Iz9j9x5alTsAgtijxYGk5rOYlJLB2yDKRzvhATkpmTSnnaFa7RufNqo2ip4WhKw00BjsCsHqSCiPaPrhSYY6D02nHwel42EyAvxF4JSRinkcJi0LKVlsA%2FUOwSE5GQR8oLdZvJuMoVID6l1AcaLRfPdiIwyUVOjY6Fvj01BoOFZoPZ6acMrl2QNMQwVzR%2BrcdXcErev86MnqE5g4ni7RrxZib%2FiDGls6D33tGt6m0ztg3Y6Si5AvmsL1JSW6mD4ssWZ05fFxkyebSqSPUWuhaqSsNvRA%2BugpTIlktaFUZNOPVh40NeM7p0mNAbq8kah0btZJPUDlKxAv0MyFhtXRb%2BKNuB%2FqiehHuDmDWv6Zf0h7Ro3rTaLoJBtrL7LdpRA%2Fzcg%2B9TON79V72tbrsGVpdNi29ZmpOFdmKS9M%2Bs0s2Yf9njNWYqcZusVJHYY8mHkX9ycvam1DvZ5HwYrXOeA957UmwxWxW%2F08bhtBGgVYL3W4Nqu8GEuwB2h4ba2Bq75t%2FoJ5Ee2D8czGUj%2FqNBvUK2o9vZcQjXinOjTT2Nl7C5DBDhkYjbTklVy2zVgfau22Zsr85gZXmKXxWwniyaxsmuxpbaFPjaB4hp8%2F2kbAHLZenSX7APjRwiksPboc51OqdBCi8OEAOBxaTUZrJmw0E1M2LA6otsFjdXDsy3ZYkd6pbkrbp04nBLDm4a3wBwk6Hw%2BoWcmf98LHb8bAe29RsJz%2FTzLSAnZxmskzZr2sKvgz1mdNSH7cX3UCZjNb4yO2iLBVoplqcOMVKKuQS2K%2B5bsNHZSkB6KSiJJ%2BQtCxz0E4PotE0WrkAdJl1RfWOYq24AQswUxfQY6hQaVdrBs3YnMrZ6qFi3dwfrZx9dqU4Nu%2BRWx%2BBcXExLv4h%2FiF8RrA7zMlhLjeT9GHBJxAwTVKFYYLpw07iIpHhe847%2F6f3Xx%2BJPCIKnu94el1bdh47d4todHze0e1%2BmPt95x13HTzv%2FHuGouRhd9pxu4MXt5x7bOcWscf7oscoPjwxtx%2FXt4zeXwmf45qheXsnZUoj9AEvTWhfZmCCtYn7ku3ZWZRomJpQIPneYS6LzCvp9VE0K8Hrm0mGyRDpa5ElL3aIBo0%2FzcdjDt5JJAe5mPUlV25emfQRQi52SChkvOGQ9%2Fve0A4yvINuGIPFra9vO%2F2xq4ozu8zm7EFvzkEyWd7eEpC8Tc0WS1b9qSPnxXZ47JNSgI%2FyMekev%2F8eKQabAaliCpzU0y5F29qiVkt9%2FmIecKAefycTO%2FdGpUQ0hT1dJa2LPX2JMn16x0fcN26gj%2BPQus5Xdh2hT6TGf%2Brmou5zqN3DTDvatOoRdm%2BOSjvLIepN1vpUaQuB9gSReuO%2FWoubXH2riKkGtEKIfhT1Hc0cr6VwsAc0rqImJj5LSu%2Bph70UsGpsge5PcNXtnq4Gf4Ko%2BRPw%2BX2iiz4DoCXe1qF1I6D7wZZkW7tW5DmpjR6G2jzoPMxpXf0NOXQogjqBfeiVrewBrLccm7NVoZ2TKMNjLyqgm%2F6UM3IYr1Bt8I7VGns1IUa930XNoff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AxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%2FnAVHR0VAZAVHR0V%2FnAVHQJYHRUBkBUdHRX%2BcBUdHRUBkBUdHRX%2BcBUdMgGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHf29AZAVHR0V%2FnAVHR0CbQGQFR0dFf5wFR0dAAAJAAAAAARMBEwADwAfAC8APwBPAF8AbwB%2FAI8AdgCyDQAAK7E8bDMzsATNsTRkMjKwHS%2BxTHwzM7AUzbFEdDIysC0vsVyMMzOwJM2xVIQyMgGwkC%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%2BwTDOwHM2wRDKwLS%2BwXDOwJM2wVDIBsGAvsADWsRAgMjKwCc2xFygyMrAJELEwASuxQFAyMrA5zbFIWDIysWEBKwAwMT0BNDY7ATIWHQEUBisBIiYRFBY7ATI2PQE0JisBIgYVPQE0NjsBMhYdARQGKwEiJgE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdMsgVHR0VyBUdHQGlFR0dFcgVHR0VyMgVHR0VyBUdHfz1yBUdHRXIFR0dAaXIFR0dFcgVHR0BpcgVHR0VyBUdHQAAAAEAHQAiBPIEKgAFAAATCQEnAScdAaMDMtT9oc4Bxv5cAzTU%2FaHPAAABAGoAagRGBEYACwAAEwkBNwkBFwkBBwkBagEa%2FubUARoBGtT%2B5gEa1P7m%2FuYBPgEaARrU%2FuYBGtT%2B5v7m1AEa%2FuYAAAMAF%2F%2FsBMQEmQATABsAJwC3ALIOAAArsBIvsBfNsBwvsCMzsB3NsCEyshwdCiuzQBwmCSuyHRwKK7NAHR8JK7AbL7ADzQGwKC%2BwAdawFc2wFRCxJgErsB4ysCXNsCAysiUmCiuzQCUjCSuyJiUKK7NAJhwJK7AlELEZASuwBc2xKQErsSYVERKyAhYbOTk5sCURsBI5sBkSswMXEBokFzmwBRGwBzkAsRcSERKwEDmxHQ4RErMABRUYJBc5sBsRshQZATk5OTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIAM1MzUzFTMVIxUjNRcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uRmTIZGTIAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwf5ZyGRkyGRkAAADABf%2F7ATEBJoAEwAbAB8AXQCyDgAAK7ASL7AXzbAbL7ADzQGwIC%2BwAdawFc2wFRCxGQErsAXNsSEBK7EZFREStQMCEBIcHSQXObAFEbAHOQCxEg4RErAJObAXEbAQObAbErUBAAcFHB4kFzkwMRIQACAAFRQHARYUDwEGIicBBiMiAhAWIDYQJiADITUhFwEcAZABHE4BLAcHbQgUCP7Ud47Ig8IBEsHB%2Fu5GAZD%2BcAHuAZABHP7kyI15%2FtUHFgdtCAgBLE4CbP7wwsIBEML%2BWcgAAAIAFwAXBJkEsAAbACsARQCwGC%2BwCs0BsCwvsADWsAfNsgcACiuzQAcDCSuwBxCxDAErsBPNsgwTCiuzQAwQCSuxLQErsQwHERKzFxgcIyQXOQAwMRM0EjcVDgEVFBYgNjU0Jic1FhIVFA4CIi4CARQWOwEyNjURNCYrASIGFRfSp2d8%2BgFi%2Bnxnp9Jbm9Xs1ZtbAd0dFWQVHR0VZBUdAli3ASg%2BpjfIeLH6%2BrF4yDemPv7Yt3bVm1tbm9UBDBUdHRUBkBUdHRUABABkAAEEsASxAAMABwALAA8AMACyBAAAK7EIDDMzAbAQL7AE1rAHzbAHELEIASuwC82wCxCxDAErsA%2FNsREBKwAwMTczESMBETMRMxEzETMRMxFkyMgBLMhkyGTIAQEs%2FtQB9P4MAyD84ASw%2B1AAAAIAGgAbBJYElgBHAFEAYgCwEi%2BwUM2wSy%2BwNs0BsFIvsADWsEjNsEgQsU0BK7AkzbFTASuxSAARErELPTk5sE0Rsw8VMzkkFzmwJBKxGS85OQCxUBIRErEHHTk5sEsRswMhJ0UkFzmwNhKxK0E5OTAxExQfAhYfAQcWFzcXFh8CFjMyPwI2PwEXNjcnNzY%2FAjY1NC8CJi8BNyYnBycmLwImIyIPAgYPAScGBxcHBg8CBgU0NjIWFRQGIiYaBpcCDhgDUC08hQUtMQUmKCIbLyYGLi8FhjgwUAMYDwGYBQWYARAXA1AsPIYFLTAGJigiGy8mBTIsBYU7LlADGQ0ClwYBZ36yfn6yfgJZISkmBjEsBYY7LlEDGg0ClwUFlwINGgNRLD2GBSwxBiYoIhwtJgYzKgWGOi9RAxkOAZgFBZgBDhkDUS86hgUvLgYmMBlYfn5YWX5%2BAAAABwBk%2F%2F8EsAUUABkAIwAnACsALwAzADcAiQCyIQAAK7AkzbIoMDQyMjKwJy%2ByKjI2MzMzsBvNsBcvsATNsQ4sMjKwLy%2BwCc0BsDgvsBrWsCTNsCQQsSUBK7AFMrAozbAsMrIlKAors0AlAAkrsCgQsSkBK7AwzbAwELExASuwLTKwNM2wDTKyNDEKK7NANBMJK7A0ELE1ASuwHc2xOQErADAxEzU0NjMhNTQ2MyEyFh0BITIWHQEUBiMhIiYTESERFAYjISImNzMRIxMzESMRITUhEzMRIxMzESNkDwoBEzspASwpOwETCg8OC%2FvmCw5kA4Q7Kf1EKTtkZGTIZGQBLP7UyGRkyGRkBAEyCg9kKTs7KWQPCjILDg78bgMg%2FOApPDwpArz9RAK8ASxk%2B7QCvP1EArwAAAAAAQABAAEFFQTdAAoALACyCQAAK7AEMwGwCy%2BwCdawCM2wCBCxBQErsATNsQwBK7EFCBESsAE5ADAxEwkBIxEhESERIREBApAChMj%2B1P7U%2FtQCWQKE%2FXz9qAGQ%2FnACWAAAAgBkAAAD6ASwAA4AEQAiALIMAAArAbASL7AB1rAGzbIGAQors0AGCAkrsRMBKwAwMTcRNDYzIREhERQGIyEiJgERAWQOCwHbAZAOC%2FyuCw4CWAEsGQR%2BCw7%2BDP1dCw4OAxIBLP7UAAADAAQABASsBKwACwATABkAggCwCi%2BwD82wFC%2BwF82yFxQKK7NAFxUJK7ATL7AEzQGwGi%2BwAdawDc2wDRCxFAErsBfNshcUCiuzQBcZCSuwFxCxEQErsAfNsRsBK7EUDRESswoDDhMkFzmxERcRErMJBA8SJBc5ALEUDxESswcADRAkFzmxExcRErMGAREMJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIBMRMxEzFQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqkdkyAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9%2FgGQ%2FtRkAAAAAAL%2FnAAABRQEsAALAA8ALgCyAAAAK7AHM7AKL7AMzbAPL7ADzbIDDwors0ADAQkrsAUyAbAQL7ERASsAMDEjATMDMwMzASEDIwMTMwMjZAGv0RWiFNABr%2F3mKfIoMeAbqgSw%2FtQBLPtQAZD%2BcAH0ASwAAAAAAgAAAAAETASwAAsADwBKALILAAArsAzNsA8vsAnNsAEyAbAQL7AE1rAHzbIEBwors0AEAAkrsAcQsQ0BK7AKzbERASuxBwQRErECCTk5sA0RsQgMOTkAMDExESEBMxEhETMBIRElMzUjAer%2B3sgBLMj%2B3gHq%2FuGvrwGQASwB9P4M%2FtT%2BcMhkAAMAAQABBK8ErwAPABcAHgBjALINAAArsBPNsBcvsAXNAbAfL7AB1rARzbARELEZASuwHM2wHBCxFQErsAnNsSABK7EZEREStA0EEhcYJBc5sBwRsB45sBUStAwFExYdJBc5ALEXExEStQEICQAaHiQXOTAxEjQ%2BAjIeAhQOAiIuARIQFiA2ECYgAzMRMxEzAwFfoN703qBfX6De9N6gXPIBVPLy%2FqxQlsiW%2BgHe9N6gX1%2Bg3vTeoF9foAIC%2Fqzy8gFU8v5kASz%2B1P7UAAMABAAEBKwErAALABMAGgBhALAKL7APzbATL7AEzQGwGy%2BwAdawDc2wDRCxGQErsBjNsBgQsREBK7AHzbEcASuxGQ0RErQKAw4TFCQXObAYEbAVObARErQJBA8SFiQXOQCxEw8RErUBBgcAFRgkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAxsBIxEjEQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2Bqk%2F6%2BpbIAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F5iASz%2B1P7UASwAAAACAAAAAASwBLAACwATACkAsgkAACuwDM2wEDKwEy%2BwAs0BsBQvsRUBKwCxDAkRErIEAQ45OTkwMTUREyEbARQGIyEiJhMzFyE3MwMhyAMgxwEOC%2FuCCw7IyDIBLDLIYf2iGQHbArz9RP4lCw4OAebIyAH0AAMABAAEBKwErAALABUAGABGALAKL7APzbAUL7AEzQGwGS%2BwAdawDM2wDBCxEQErsAfNsRoBK7ERDBEStQQJCgMWGCQXOQCxFA8RErUBBgcAFhckFzkwMRIQEiQgBBIQAgQgJBMUFiA2NTQmIAYBEQUEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzAToBKQG2AUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FP%2BigGRyAABABcAFwSZBLAAHABTALAFL7ANzbARL7AZzQGwHS%2BwAdawD82wDxCxCgErsAnNsR4BK7EKDxEStQUEExQXGSQXObAJEbEVFjk5ALERDREStAEACRQVJBc5sBkRsBc5MDESFB4CMj4CNSMUBiAmEDYzMhcHIREHJiMiDgEXW5vV7NWbW5b6%2Fp76%2BrGIbpIBkJGdxnbVmwLO7NWbW1ub1Xax%2BvoBYvpRkgGQkXpbmwAAAAIAFwAABJkEsAAQACEAegCyEQAAK7AfL7AWzbIWHwors0AWGgkrsA0vsAXNsg0FCiuzQA0ACSsBsCIvsADWsBDNsBAQsRkBK7AazbEjASuxEAARErEREjk5sBkRtwcFCwoTFB8hJBc5sBoSsQkIOTkAsRYfERKwITmwDRGxCRI5ObAFErAHOTAxEzQ%2BAjMyFzcRITcmIyIGFQMRIQcWMzI2NTMUDgIjIicXW5vVdsadkf5wk3CHsfpJAZCTcIex%2BpZbm9V2xp0CWHbVm1t6kf5wk1D6sf2oAZCTUPqxdtWbW3oAAAoAZAAABLAEsAADAAcACwAPABMAFwAbAB8AIwAnAFAAsAgvsBgzsAnNsBoysAwvsBwzsA3NsB0ysBAvsCAzsBHNsCEysBQvsCQzsBXNsCUyAbAoL7AI1rIMEBQyMjKwC82yDhIWMjIysSkBKwAwMTMhESETESERJTUzFSc1MxUnNTMVJzUzFRMhNSE9ASEVJTUhFSU1IRVkBEz7tGQDhPzgZGRkZGRkZGQB9P4MAfT%2BDAH0%2FgwB9ASw%2B7QDhPx8ZGRkyGRkyGRkyGRk%2FahkZGRkyGRkyGRkAAIAAAAABEwEsAAZACMASgCyFwAAK7AgL7AJzQGwJC%2BwBdawGs2yBRoKK7NABQAJK7AaELEbASuwDs2yDhsKK7NADhMJK7ElASsAsSAXERKzBA4FGiQXOTAxNRE0NjsBNTQ2MyEyFh0BMzIWFREUBiMhIiYBITU0JisBIgYVOylkdlIBLFJ2ZCk7Oyn8fCk7AZABLB0VyBUdZAJYKTvIUnZ2Usg7Kf2oKTs7AuWWFR0dFQAAAAIAZAAABEwETAADABUAFwCyAAAAKwGwFi%2BwANawA82xFwErADAxMxEzERM%2BAR4CPgE3EQ4BLgMGB2RkZDyHeHxyamQpKHuEkId0WhQETPu0AZA8MA0hGwVPUQH0UUUKKCgKRVEAAAAAAwAAAAAEsASXACEAMQBBAGcAsi8AACuwPjOwJs2wNjKwDC%2BwHc0BsEIvsADWsAfNsAcQsSIBK7ArzbArELEyASuwO82wOxCxEAErsBfNsUMBK7EyKxESswwLHRwkFzkAsSYvERK0BxATFAMkFzmwDBGxCA85OTAxERQWOwEyNjURND4BIB4BFREUFjsBMjY1ETQuAiIOAhUTETQ2OwEyFhURFAYrASImJRE0NjsBMhYVERQGKwEiJg4LMgsOjeQBBuSNDgsyCw5jo97o3qNjyAwIoAgMDAigCAwCWAwIoAgMDAigCAwBEwsODgsBLH%2FRcnLRf%2F7UCw4OCwEsdN6jY2Oj3nT91QHMCAwMCP40CAwMCAHMCAwMCP40CAwMAAAAAgAAAMgEWAPoAAUAEQAAESEFEQUhATcnNxc3FwcXBycHASwBLP7U%2FtQCsI2NR42NR42NR42NAZDIAyDI%2FquNjUeNjUeNjUeNjQAAAAIAAADIA3AD6AAFAA8AEgABsBAvsA7WsAnNsREBKwAwMREhBREFISU3FhUUByc2NTQBLAEs%2FtT%2B1AK8RW9qQ1YBkMgDIMg5NYevqYU2boqSAAAAAAMAAAC6BGID9wAFAA8AHQA8ALAAL7ABzQGwHi%2BwDtawCc2wCRCxEwErsBrNsR8BK7ETCRESsxAWFx0kFzkAsQEAERKzCQ4TGiQXOTAxGQEhJRElATcWFRQHJzY1NDcXFhUUDwEXNzY1NC8BASwBLP7UAZJFb2pDVl4He3cHUQaOkAYBkQGQyPzgyAHJNYevqoU3boqRzQiXwb2WCEIIsuPmsggADQAAAAAEsASwAAcAEQAVABkAHQAhAC8AMwA%2FAEMARwBLAE8BAQCyAAAAK7EwRDMzsBLNsikxRTIyMrAaL7InK0wzMzOwG82yJS1NMjIysCIvsQIGMzOwI82wCDKwHi%2BxDkgzM7AhzbE0STIyAbBQL7Aa1rEFHjIysB3NsQMfMjKwHRCxMAErsQ0sMjKwM82wNTKwMxCxLgsrsCoysCXNsEAysi4lCiuzQC4iCSuyAQsPMjIysCUQsTcBK7FESDIysDvNsSZKMjKwOxCxTAErsEIysE%2FNsjk9RjIyMrFRASuxMB0RErUUFRgZND8kFzmxNyURErIoKTg5OTkAsSIbERKzExQ4OSQXObAjEbIEOjs5OTmwHhJACQUWGTY3PD1AQyQXOTAxMSERIzUjFSM1MzUhNTM1IxEhExEhEQERIREDNTMVAzM1IwE1IREzFSMVIzUjNTM1AzUzFQMzETMRITUjNTMRIRMRIREDNSEVATUzFRM1MxUB9MhkyGQBkGRk%2FgxkASz%2B1AEsyGRkZGQBLAEsyGTIZGRkZGRkyAEsyMj9qMgBLMgBLP7UZGRkAfRkZGRkZGQBLPu0ASz%2B1AK8ASz%2B1P2oZGQCvGT%2BDGT%2B1GRkZGTI%2FgxkZAPo%2FtT%2B1MhkAfT%2BcAEs%2FtT84GRkA4RkZP1EZGQAAAAACQAAAAAEsASwAAMABwALAA8AEwAXABsAHwAjAHAAsgwAACuyBBQcMzMzsA3NsRUdMjKyDAAAK7AFzQGwJC%2BwCNawC82wCxCxEAErsAwysBPNsA%2FNsBMQsRQLK7AXzbAXELEYCyuwG82wGxCxIAErsCPNsSUBK7EQCxESsQcGOTmxGxcRErEcHTk5ADAxNTMRIxM1IRUnETMRFzUzFScRMxEVNTMVNREzERU1MxUnETMRZGRkASzIZMhkZMhkZMhkyMgD6PtQZGTIA%2Bj8GMhbW8gD6PwYyFtbyAPo%2FBjIW1vIA%2Bj8GAAAAAIAAAAABLAEsAAHABMAKQCyBwAAK7ASL7AEzQGwFC%2BwAdawCc2xFQErALESBxESsgAGCzk5OTAxERM0NjMhCQEAFBcWMjc2NCcmIgcBDwoB2gK8%2Fgz92B0eUx4dHR5THgK8AdsKD%2F1E%2FgwD41QdHh4dVB0eHgAAAAMAAQAABd0EsAAHABMAGQAxALIHAAArsBczsBIvsATNsBQyAbAaL7AB1rAJzbEbASsAsRIHERK0AAYLFhkkFzkwMRsBNDYzIQkBABQXFjI3NjQnJiIHJTMJAScBAQEOCwHaArz%2BDP3XHh1UHR4eHVQdAgtkArz%2BDDIBwgK8AdsLDv1E%2FgwD41QdHh4dVB0eHrD9RP4MMgHCAAAAAAEAZAAABLAEsAAKAD8AsgAAACuwBy%2BwAs0BsAsvsADWsArNsAoQsQUBK7AEzbEMASuxCgARErICBwg5OTkAsQcAERKyAQQFOTk5MDEzETchEQcRIQchEWSvA51k%2FRJkAu4EAa%2F8GGQD6GT8GAAAAAABAMgAAARMBLEACgAAMwkBETQmIyEiBhXIAcIBwh0V%2FOAVHQG8%2FkUEfhQeHhQAAAADAAAAAASwBLAACwAXACcAWQCyJQAAK7AczbAKL7ADzbIKAwors0AKAAkrsAcysgMKCiuzQAMBCSuwBTIBsCgvsADWsAvNsAIysAsQsQgBK7AFMrAHzbEpASuxCAsRErMMDyciJBc5ADAxNREzFyE3MxEjNSEVExchNwMuASMhIgYHAzc%2BATMhMhYfARYGIyEiJshkAlhkyMj84DUoAlA%2BXgIQCv4%2BChACQiYCEwoB9AoTAiYCCwr9qAoLZAK8yMj9RMjIAtl8fAFaCw4OC%2FuBmAoODgqYCg4OAAAABAAAAGQEsARMAB0AJQAtADEAbwCwAy%2BwJc2wKS%2BwLc2wIS%2BwE80BsDIvsADWsB%2FNsh8ACiuzQB8vCSuwHxCxJwErsCvNsTMBK7EfABESsBk5sSsnERKzISQlICQXOQCxLSkRErMfIiMeJBc5sCERsS4xOTmwExK0CxkaLzAkFzkwMTUUFjMhMjY1ETQmKwEuBCsBIg4CDwEjIgYVADQ2MhYUBiICFBYyNjQmIiU1MxU7KQPoKTs7KZYEDzM3UyrIKVI6LgsMlik7AWSQyJCQyAY%2BWD4%2BWAFYZMgpOzspAlgpOwgbRTUrKTs7FRQ7Kf5wyJCQyJABIFg%2BPlg%2BXmRkAAIANQAABLAErwAeACIAHgCyAAAAK7ANM7AezbICDA8yMjIBsCMvsSQBKwAwMTMhNSIuAT8BIRcWBiMVITUmJy4BLwEBIwEGBw4BDwEBExcTNQFtKT4kE1wBh1IQKzUBoSIoEh4GBv5%2FXf5xGBwMKg8PAWuyLnRCFjYs6t4tV0JCASoTLg4NA%2Bb8EjAbDBoHBwHHAcmM%2FsMAAwBkAAADwwSwACAAKQAxAGUAsiAAACuwIc2yIAAAK7ABzbApL7AqzbAxL7ANzbANELALzQGwMi%2BwBNawIc2wKjKwIRCxLgErsBDNsCUg1hGwHM2xMwErsSUuERKwFjkAsSkhERKwHDmwKhGwFjmwMRKwEDkwMTM1PgE1ETQuAyc1BTIWFRQOAg8BHgQVFA4BIyczMjY1NCYrATUzMjY1NCYjZCk7AgkWJB8B13i6FyEiCwwIG0U0K3amT8ihWYB9Xp%2BLTGyom1kHMygDOxwXHQ0PB0cBsIw3XTcoCAcDDDNBdkZUkU3IYVRagWR7TVJhAAAAAAEAyAAAA28EsAAZACAAsgAAACuwAc2wGDKwCy%2BwDjOwDM0BsBovsRsBKwAwMTM1PgE3EzYmJy4BJzUhFw4DDwEDBhYXFchNcwitCihHBgkFAakCIToiGQUFgAowRzkHQy8DUTgkEwEDATk5CCMnJQwM%2FMc0PAY5AAL%2FtQAABRQEsAAJACUAfgCyGwAAK7AfL7ICBRYzMzOwDM2yHwwKK7NAHxAJK7AKMgGwJi%2BwAdawB82wBxCxCgErsCXNsCUQsR0BK7AYzbIYHQors0AYGgkrsh0YCiuzQB0bCSuwGBCxEAErsA%2FNsScBK7EKBxESsQUIOTkAsR8bERKwCTmwDBGwBDkwMSczESM3FyMRMwcTETMhMxEjNC4DKwERFxUhNTcRIyIOAxVLS0t9fUtLffqWAryWMhAVLiEiyGT%2BcGTIIiEvFBHIAyCnp%2FzgpwNjASz%2B1B0nFQkC%2FK4yZGQyA1ICCRUnHQAAAAIAIf%2B2BI8EsQAJACUAiQCyCAAAK7ACzbAfL7AWM7AMzbIfDAors0AfCgkrsA8yAbAmL7AK1rAlzbAlELEdASuwGM2yGB0KK7NAGBoJK7IdGAors0AdGwkrsBgQsRABK7APzbEnASuxHSURErMCCAkBJBc5sRAYERKzBAYHAyQXOQCxAggRErEABTk5sB8RsgEEGjk5OTAxPwEVITUXBzUhFQMRMyEzESM0LgMrAREXFSE1NxEjIg4DFSGnAyCnp%2FzgZJYCvJYyEBQvISLIZP5wZMgiIS4VEDN9S0t9fUtLA88BLP7UHScVCQL9djJkZDICigIJFScdAAAAAAQAAAAABLAETAAPAB8ALwA%2FAAA1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVHRUETBUdHRX7tBUdHRUDIBUdHRX84BUdHRUD6BUdHRX8GBUdHRUCWBUdHRX9qBUdMhQeHhRkFR0dFcgUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFQAEAAAAAASwBEwADwAfAC8APwAANRQWMyEyNj0BNCYjISIGFREUFjMhMjY9ATQmIyEiBhUTFBYzITI2PQE0JiMhIgYVERQWMyEyNj0BNCYjISIGFR0VBEwVHR0V%2B7QVHR0VBEwVHR0V%2B7QVHcgdFQK8FR0dFf1EFR0dFQK8FR0dFf1EFR0yFB4eFGQVHR0VAfQUHh4UZBUdHRX%2BcBQeHhRkFR0dFQH0FB4eFGQVHR0VAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wLS%2BwJM2wHS%2BwFM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYTNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJhM1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR1kHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHcgdFQJYFR0dFf2oFR0yZBUdHRVkFB4eAmxkFR0dFWQUHh7%2B6GQVHR0VZBQeHgJsZBUdHRVkFB4eAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wHS%2BwFM2wLS%2BwJM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0yZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAAAAAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AUgCyDQAAK7BMM7AEzbBEMrAdL7BcM7AUzbBUMrAtL7BsM7AkzbBkMrA9L7B8M7A0zbB0MgGwgC%2BwANayECAwMjIysAnNshgoODIyMrGBASsAMDE9ATQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYRNTQ2OwEyFh0BFAYrASImATU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0BLB0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHTJkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh78kGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgAABv%2BbAAAEsARMAAYACgAaACoAOgBKACAAsAAvsCYzsAHNsC4yAbBLL7FMASsAsQEAERKwBDkwMQM1MzUXBzUTMxEjExQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWOwEyNj0BNCYrASIGFWXJpqbIZGTIHRUCWBQeHhT9qBUdHRUBLBQeHhT%2B1BUdHRUB9BQeHhT%2BDBUdHRVkFB4eFGQVHQH0ZEt9fUv%2BDARM%2B%2BYUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRUAAAAABgABAAAFFQRMAA8AHwAvAD8AQwBKABcAskAAACsBsEsvsEDWsEPNsUwBKwAwMTcUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjsBMjY9ATQmKwEiBhUBETMRExc1MzUjNQEdFQJYFB4eFP2oFR0dFQEsFB4eFP7UFR0dFQH0FB4eFP4MFR0dFWQUHh4UZBUdAyBkIafIyDIUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRX75gRM%2B7QCJn1LZEsAAgAAAMgEsAPoAA8AEgAtALANL7AEzbAEzQGwEy%2BwANawCc2xFAErsQkAERKwEDkAsQQNERKxERI5OTAxGQE0NjMhMhYVERQGIyEiJgkBESwfAu4fLCwf%2FRIfLAOEASwBEwKKHywsH%2F12HywsAWQBLP2oAAADAAAAAASwBEwADwAXAB8AWQCyDQAAK7AfL7AbzbAXL7AEzQGwIC%2BwANawEM2wEBCxGQErsB3NsB0QsRUBK7AJzbEhASuxHRkRErARObAVEbETEjk5ALEfDRESshATFTk5ObAbEbAUOTAxNRE0NjMhMhYVERQGIyEiJj8BBScBExEhEjQ2MhYUBiIaEgRYExkZE%2FuoEhpk9wEqSgEl7PwYbE5wTk5wLAP0EhoaEvwMEhoa7baDnAE%2B%2FuAB9P7OcE5OcE4AAgCU%2F%2FMEHAS9ABQAHgA9ALINAAArsB0vsATNAbAfL7AA1rAVzbAVELEbASuwCM2xIAErsRsVERKxDQQ5OQCxHQ0RErIHABg5OTkwMRM0PgEzMh4BFAcOAQ8BLgQnJjcUFjMyNjQmIgaUedF6e9B5SUm7OTkKImNdcys%2Fwpdqa5eX1pYC6XzXgX7V9pVy9kJCCSJrb6BLi5Zrl5fWlpcAAAIAAQABBK8ErwAPABUASQCyDQAAK7ATzbAUL7AFzQGwFi%2BwAdawEc2wERCxEwErsAnNsRcBK7ETERESsQ0EOTmwCRGxBQw5OQCxFBMRErMBCAkAJBc5MDESND4CMh4CFA4CIi4BEhAWMxEiAV%2Bg3vTeoF9foN703qBN%2B7CwAd703qBfX6De9N6gX1%2BgAgn%2BnvoDVgACAHUABAPfBQ8AFgAlAAATND4DNx4GFRQOAgcuAjceARc3LgInJjY%2FAQ4BdURtc3MeFUlPV00%2FJU5%2Bmk9yw4B%2BDltbEAcWLgoPAgkJXDcBll64oZ3FYEePdndzdYZFWZlkOwQGXrh%2BUmwaYgYWSihJjTQzbpYAAAADAAAAAATFBGgAHAAhACYAVwCyGgAAK7APzbAIL7AEzQGwJy%2BwANawDM2wDBCxEwErsBbNsSgBK7ETDBESswYdHiAkFzmwFhGxHyI5OQCxCA8RErMVHR8hJBc5sAQRsyAiIyUkFzkwMRkBNDYzBBcHISIGFREUFjMhMjY9ATcVFAYjISImJTcBJwkBFzcvAeulAW4fuv7JKTs7KQH0KTvI66X%2B1KXrAbShAZxy%2FmsB%2BXFxFVwBkAEspesGCLo7Kf4MKTs7KX3I4aXr62oyAZxx%2FmsB%2BHFxVRwAAAAAAgAAAAAElQRMABwALgBIALIaAAArsBDNsCIvsCfNsAkvsATNsAQQsAbNAbAvL7AA1rANzbEwASsAsSIQERKyFR0kOTk5sQkaERKwJTmxBAYRErAmOTAxGQE0NjMhFwYHIyIGFREUFjMhMjY1NxUUBiMhIiYBPgMfARUJARUiDgXrpQEFAoVVkSk7OykB9Ck7yOul%2FtSl6wGnHmdnXx4dAWj%2BmQcYSENWQzkBkAEspetQIFg7Kf4MKTs7KZk1pevrASEmNBMJAQHRAUQBPtgCDhczQ20AAAAAAgAAAAAEqARMAB0AIwBSALIbAAArsBDNsAkvsATNAbAkL7AA1rANzbANELEUASuwF82xJQErsRQNERKzBx4fIiQXObAXEbAhOQCxCRARErMWHyIjJBc5sAQRsSAhOTkwMRkBNDYzITIXByEiBhURFBYzITI2PQE3FRQGIyEiJgkCJwEn66UBLD1Csv6jKTs7KQH0KTvI66X%2B1KXrAVYBGwI3if5SkgGQASyl6xexOyn%2BDCk7OylFyKml6%2BsBjf7kAjeJ%2FlGTAAABAAAAAQSwBLEAFwBFALISAAArsBYvsA4zsALNsAkyAbAYL7AU1rADMrAQzbAIMrEZASuxEBQRErEGEjk5ALEWEhESsQ0XOTmwAhGxAAw5OTAxEQEVMzUjCQEjFTM1CQE1IxUzCQEzNSMVASzIyAEsASfDyAEs%2FtTIw%2F7Z%2FtTIyAJbASjGyAEs%2FtTIxv7Y%2FtTGyP7UASzIxgAAAAABAMgAAAOEBEwAEwAdALIRAAArsAszAbAUL7AA1rANzbAIMrEVASsAMDE3ETQ2OwEyFhURAREBERQGKwEiJsgdFWQVHQH0%2FgwdFWQVHTID6BUdHRX%2BSwHn%2B7QB6P5KFR0dAAAAAQAAAAAEsARMABcAHwCyFQAAK7ENDzMzAbAYL7AA1rARzbAIMrEZASsAMDE1ETQ2OwEyFhURAREBEQERAREUBisBIiYdFWQVHQH0AfT%2BDP4MHRVkFR0yA%2BgVHR0V%2FksB5%2F4ZAef7tAHo%2FhgB6P5KFR0dAAABAIgAAASwBEwABgAUALIGAAArsAQzAbAHL7EIASsAMDETAREBEQERiAI0AfT%2BDAImAib%2BGQHn%2B7QB6P4YAAAAAQDIAAAETARMAAIAADMJAcgDhPx8AiYCJgAAAAIAyABkA4QD6AAPAB8AADcUFjsBMjY1ETQmKwEiBhUBFBY7ATI2NRE0JisBIgYVyB0VyBUdHRXIFR0BkB0VyBUdHRXIFR2WFR0dFQMgFR0dFfzgFR0dFQMgFR0dFQAAAAEAyABkBEwD6AAPAAA3FBYzITI2NRE0JiMhIgYVyB0VAyAVHR0V%2FOAVHZYUHh4UAyAVHR0VAAAAAQAAAAAEKARMAAYAFACyAAAAK7AFMwGwBy%2BxCAErADAxMREBEQkBEQH0AjT9zARM%2FhkB5%2F3a%2FdoB6AAAAQAAAAAEsARMABcAHwCyAAAAK7EQFjMzAbAYL7AU1rAEMrANzbEZASsAMDExEQERARE0NjsBMhYVERQGKwEiJjURAREB9AH0HRVkFR0dFWQVHf4MBEz%2BGQHn%2FhkBtRUdHRX8GBUdHRUBtv4YAegAAAEBLAAAA%2BgETAATAB0AsgAAACuwDjMBsBQvsBLWsAIysAvNsRUBKwAwMSERARE0NjsBMhYVERQGKwEiJjURASwB9B0VZBUdHRVkFR0ETP4ZAbUVHR0V%2FBgVHR0VAbYAAAIAZADIBLAEKAAPABIAEgCwDS%2BwBM0BsBMvsRQBKwAwMTc1NDYzITIWHQEUBiMhIiYRIQFkHRUD6BUdHRX8GBUdBEz92vpkFR0dFWQVHR0BDwI0AAEAuQAHA%2FkEqQAFAAATATcJASe5AlDw%2Fp8BYfACV%2F2w8AFhAWHwAAABARD%2F0gRSBHQACAAAJQkBNwEXBxUBARABYf6f8QI8FQH9sMIBYQFh8P3FFgEB%2FbEAAAAAAgADAAMErQStAAsAFwBCALAKL7AOzbAVL7AEzQGwGC%2BwAdawDM2wDBCxEQErsAfNsRkBK7ERDBESswQJCgMkFzkAsRUOERKzAQYHACQXOTAxEhASJCAEEhACBCAkEzMVMzUzNSM1IxUjA6ABEwFEAROgoP7t%2Frz%2B7YnIyMjIyMgBtgFEAROgoP7t%2Frz%2B7aCgAVHIyMjIyAACAAMAAwStBK0ACwAPAEkAsAovsAzNsA8vsATNAbAQL7AB1rAMzbAMELENASuwB82xEQErsQ0MERKzBAkKAyQXOQCxDAoRErEHADk5sQQPERKxAQY5OTAxEhASJCAEEhACBCAkEyE1IQOgARMBRAEToKD%2B7f68%2Fu2JAlj9qAG2AUQBE6Cg%2Fu3%2BvP7toKABUcgAAAAAAgADAAMErQStAAsAFwAyALAKL7AEzbAEzQGwGC%2BwAdawB82wB82xGQErsQcBERKxDBA5OQCxBAoRErENFTk5MDESEBIkIAQSEAIEICQTFzcXNyc3JwcnBxcDoAETAUQBE6Cg%2Fu3%2BvP7tU9WNjdWOjtWNjdSNAbYBRAEToKD%2B7f68%2Fu2goAEo1Y6O1Y2N1I2O1Y0AAAIAAwADBK0ErQALABEAMgCwCi%2BwBM2wBM0BsBIvsAHWsAfNsAfNsRMBK7EHARESsQwOOTkAsQQKERKxDQ85OTAxEhASJCAEEhACBCAkEwkBJwcnA6ABEwFEAROgoP7t%2Frz%2B7WsBFAGbr%2BxmAbYBRAEToKD%2B7f68%2Fu2goAGE%2FusBm67sZgAAAAADAAMAAwStBK0ACwA4ADwAbACwCi%2BwOc2wPC%2BwJ82wIS%2BwG82wNC%2BwBM0BsD0vsBLWsB7NsB4QsS4BK7AHzbE%2BASuxHhIRErEhNDk5sC4RtAkEKDo7JBc5ALEnPBESsQcAOTmwIRGwKjmwGxKyDA8uOTk5sDQRsQYBOTkwMRIQEiQgBBIQAgQgJBMzMhYyNjQ%2BBToBMzIWFRQGBw4EFzM%2BBDU0LgMjIg4CEzM1IwOgARMBRAEToKD%2B7f68%2Fu3JjwQPBwYCBQIJBA4EEwMTFggXBQ8nHRgByAUSLSIcIzFEMRsyUUUmiMjIAbYBRAEToKD%2B7f68%2Fu2goAIZAgYMCgcFAwIBFBAWDBABBBcfPSYDCikyWDIzTCgYBhg1YP4uZAADAAMAAwStBK0ACwAVABkAOwCwCi%2BwDM2wFS%2BwDjOwEs2wES%2BwFs2wGS%2BwBM0BsBovsRsBKwCxEhURErEHADk5sRYRERKxBgE5OTAxEhASJCAEEhACBCAkNyE1IxEhFTMVIxMzNSMDoAETAUQBE6Cg%2Fu3%2BvP7t7QGQZP7UZGRkyMgBtgFEAROgoP7t%2Frz%2B7aCgiWQBLGTIAZBkAAACAAAAAASwBLAAGAAvAGkAshQAACuwEi%2BwH82wHDKwAC%2ByDhkhMzMzsAHNsgwjLTIyMgGwMC%2BwFNayBRwpMjIysBPNsgceJzIyMrExASuxExQRErMiIy4vJBc5ALESFBESsBU5sQAfERKwHTmwARGyHigpOTk5MDERNTM%2BATc1MxUeAhczFSMOAQcVIzUuASczHgEXNTMVNjcjNTMuAScVIzUOAQczFcMfh4vINnZrEsvLGbdZyIyIHmAYb0vIlTTJyBllSshLbhjRAfTIfZUayMgUUINFyGaoIcXFG5d9SW0Yzs4wnshKahjMyxdsSMgAAAAAAwAEAAQErASsAAsAEwAfAEYAsAovsA%2FNsBMvsATNAbAgL7AB1rANzbANELERASuwB82xIQErsRENERK1BAkKAxQaJBc5ALETDxEStQEGBwAXHSQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiADNyc3FzcXBxcHJwcEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqpJh4dth4dth4dth4cBtgFEARKgoP7u%2Frz%2B7qCgAl%2F%2BqvPzAVbz%2FduHh22Hh22Hh22HhwAAAAMABAAEBKwErAALABMAGQBGALAKL7APzbATL7AEzQGwGi%2BwAdawDc2wDRCxEQErsAfNsRsBK7ERDREStQQJCgMUGCQXOQCxEw8RErUBBgcAFxkkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAzcXNxcBBKABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qa41XzI7%2BpgG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BI41XzY7%2BpwAAAAMABAAEBKwErAALABMAGwBGALAKL7AWzbARL7AEzQGwHC%2BwAdawDM2wDBCxGQErsAfNsR0BK7EZDBEStQQJCgMPFCQXOQCxERYRErUBBgcADhskFzkwMRIQEiQgBBIQAgQgJBMUFwEmIyIGExYzMjY1NCcEoAESAUQBEqCg%2Fu7%2BvP7uFj4COGR0q%2FPNYXCr8zsBtgFEARKgoP7u%2Frz%2B7qCgAbRzZAI3PvP98jvzq3BhAAAAAAEAAABjBLAD6AAGABoAsAUvsALNAbAHL7EIASsAsQIFERKwADkwMREBESERIRECWAJY%2FagCIwHF%2FtT%2B1P7TAAABAAAAYwSwA%2BgABgAaALAAL7ABzQGwBy%2BxCAErALEBABESsAQ5MDEZASERCQERAlgCWP2oAZABLAEs%2Fjv%2BQAEtAAAAAAEAzAAABEoEsAAGAB8AsgUAACsBsAcvsAXWsATNsQgBK7EEBRESsAE5ADAxEwkBIREhEcwBwgG8%2Ftb%2B1AJYAlj9qP2oAlgAAAEAaAAAA%2BYEsAAGAB8AsgYAACsBsAcvsAHWsATNsQgBK7EEARESsAY5ADAxEyERIREhAWgBKAEsASr%2BPwJYAlj9qP2oAAAAAAEAAADHBLAETAANAAA1PgM3EQkBEQ4DBkaJ55wCWP2oX7CkgsiE1a1nCAEP%2Fjv%2BQAEtAiREdQAAAgAAAAAEsASwAAYADQARALIAAAArAbAOL7EPASsAMDExERcBFwEXExcBFxEhF4EBJo7%2B2oHrjgEmgf5wgQGQgQEmjv7agQMJjgEmgQGQgQACACIAIwSOBI4ABgANAAA3ASchEScJAREXARcBFyIBJ4EBkIH%2B2QGogQEnjv7ZgbABJ4H%2BcIL%2B2QI1AZCBASeN%2FtmCAAMAFwAXBJkEmQAPAB8AIwBPALANL7AgzbAjL7AUzbAdL7AFzQGwJC%2BwAdawEM2wEBCxGQErsAnNsSUBK7EZEBEStQUMDQQhIyQXOQCxFCMRErEJADk5sB0RsQgBOTkwMRI0PgIyHgIUDgIiLgEBEx4BOwEyNjcTNiYrASIGEzM1Ixdbm9Xs1ZtbW5vV7NWbAVY6BCMUNhQjBDoEGBTPFRgwyMgB4uzVm1tbm9Xs1ZtbW5sCRv7SFB0dFAEuFB0d%2FcVkAAAFAAAAAASwBLAAJgAqADAANAA7ADQAsicAACuwMTOwKs2wMjIBsDwvsDHWsAUysDTNsAcysT0BK7E0MREStAsMEzU6JBc5ADAxETMVIREzESE1MzUjNjQmLwEuASMiDwEGByYvASYjIgYPAQ4BFBUjEyERIRMiNj8BFxMRIREBNx4DI2QBkMgBkGRvAQMCIgs9JyAd7xYSExXuIR0nPQojAgJvZAGQ%2FnBkAyITEtXbAZD%2Bj8oFDiASAgMgyAEs%2FtTIZAELEwisJzARkA0WGAyQEi4msQgUCgH8fAGQAfRgMC%2B%2F%2FHwBkP5wA4TFDClXOQACAAD%2F6gSvBLAAGwAyABcAsgAAACsBsDMvsCfWsA%2FNsTQBKwAwMRU1Ny4CPgE3PgU3FAIOBC4CIwc2Fjc2JT4DNz4BJyYiBgcOAQ8BBAfYCQgDFTguL2llmonoaCxKaHGDeHtcUw9jEidDNwE4RmFrWykWBAgHFCERI509Pf6PWRaPwTU8gGKCOzxVMy0eOR69%2FszQm1UzCQYTDzd%2FDVNCqCY%2FX4BUMhQJBR0ZM3MgIMXMAAABAG8ADAREBOcASAAjAAGwSS%2BwAdawRc2wRRCxPAErsUoBK7E8RRESsTo2OTkAMDESFBceARcWPgM3PgEnHgEHDgEHDgQeAT4BNz4ENzYCJxYXFicmJy4CNw4EFx4DDgQHBi4CNw4BbwUJRkYfQjo4KA8gDhRPVhEFHxYKCQ8DAwgOGSQYOURrQ0APJqWkFhUnRw8ST1MFMw0qZ0ouDwIMBAgBAQsQGhImOhcHDjQ%2FAblCHjh%2FLRUKJT49HkLtJ1CoZCFJLBMUIA8XCAsBBAYUHD1DbkOsAVNtLFWfBQIHIYbZlQgfZm2nUww7GzQbKBcZEAQKLk1WIC5uAAAD%2F8MAfQTtBDMAIQA%2FAEcAQwCwGi%2BwKc2wOi%2BwCc0BsEgvsDzWsDfNsUkBK7E3PBESQAoJGRoIKSg1PkBDJBc5ALEJOhEStwARJC41PkJHJBc5MDEDNz4GMh4FHwEHDgYiLgUnNx4FMj4ENy4EJxYVFAYiJjU0NwYXFhc3LgEvAT0aBhxGT3N2k5CTdnNPRhwGGhoGHEZPc3aTkJN2c09GHAabB0MtW1R6gHdSWSxICwE3HTo5HjGw%2BLAuZoUxaWklTBMUAlgoCihXVGBHLy9HYFRXKAooKAooV1RgRy8vR2BUVygKKApgPV44KygzXDtoDgFJJUU6GUpZfLCwfFVJV3N8Q2kYYCQkAAAABP%2FDAAAE7QSwABYAIAApAEEAoQCyDwAAK7AOMwGwQi%2BxQwErsDYauj3v790AFSsKsA8uDrAMwAWxDgH5DrANwLAPELMLDwwTK7MQDwwTK7MZDwwTK7MaDwwTK7MkDwwTK7MlDwwTK7IQDwwgiiCKIwYOERI5sBk5sBo5sCQ5sCU5sAs5ALcLDA0QGRokJS4uLi4uLi4uAUAKCwwNDg8QGRokJS4uLi4uLi4uLi6wQBoBADAxAzc%2BBjMyFzczASM3LgQnNxIXNy4BNTQ3BhcWFz8BLgEvAQE3PgY3Jic3HgIfAQcOBD0aBhxGT3N2k0g9PCWU%2FsaUJVKmcmknCpvStyVrjy5mhTFpLxceOg8OASgmFi0vIjATLwFhKydDgS4NGhoHJVplkwJYKAooV1RgRy8RjvtQjxVlZ3k4Dyj%2B5jaNEqduVUlXc3xDL1ccUhsa%2FaeRDyYyJj8YQAJ%2FMJI2j0AUKCgMNGtiZgAAAAP%2FngAABRIErAALABIAFwAAJhYzITI2JwEuAQcBNwkBITUjFREbATUjbxslBQ4lGxX9fhQ4FP1%2B9QG9Ab3%2Bp8hkZMhEREcgBCAiBSD71mQC0%2F0tZGQBkP7UASxkAAAAAAEAZAAVBLAEsAApAEgAsB4vsAnNAbAqL7Al1rAFMrAWzbALMrIWJQors0AWGAkrsiUWCiuzQCUjCSuxKwErsRYlERKxHR45OQCxCR4RErEWJTk5MDETNTQ2NwERNDYyFhURAR4BHQEUBiclERYdARQGLwEjBwYmPQE0NxEFBiZkFg8Ba1h8WAFrDxYYEf6ZZBoTXt5eExpk%2FpkRGAEGKRQxDgFFAVM%2BWFg%2B%2Fq3%2Buw4xFCkUDQz5%2FvlbFkAUEQlOTgkRFEAWWwEH%2BQwNABEAAAAABEwEsAAJABsAHwAjACcAKwAvADMANwA7AD8AQwBHAEsATwBTAFcAADUUFjMhMjY1ESE1ITU0JisBNSMVITUjFSMiBhUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUdFQPoFR37tARMHRWWZP4MZJYVHWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZDIUHh4UAu5klhUdZGRkZB0V%2FEpkZMhkZMhkZP5wZGTIZGTIZGT%2BcGRkyGRkyGRk%2FnBkZMhkZMhkZP5wZGTIZGTIZGQAAAMAAAADBXgErgAKABAAGQBBALAAL7AYM7ABzbATMrALL7AIM7AQzbADMgGwGi%2BxGwErALEBABESsREWOTmwCxGzBw0SFSQXObAQErEGDjk5MDE9ASEBMzUJATUjCQEhFzcnIQE3FzM1CQE1IwEDAljxASz%2B1J%2F9qP6rAQN6jbX%2BqwKmjXqfASz%2B1PHIyAJYxv7Z%2FtTF%2FagCWHqOtP2VjnvG%2Ftn%2B1MUAAAEAAAAABLAETAASABoAsg4AACuwEC%2BwDDOwBM0BsBMvsRQBKwAwMRkBNDYzITIWFREUBiMhAREjIiY7KQPoKTs7Kf2s%2FtBkKTsBkAJYKTs7Kf2oKTv%2B1AEsOwAAAwBkAAAETASwACUAKQAtAGAAsh8AACuwCc2yCR8KK7NACQEJK7AVMrAmL7AqM7AnzbArMgGwLi%2BwANawJjKwA82wKDKwAxCxEgErsCoysBfNsCwysS8BK7EDABESsCQ5sBIRsR4fOTmwFxKwGTkAMDETNSEVFBcWFxYzMj4GJzQ9ASEVFA4FIi4FGQEhESERIRFkASwGEVUnNSU7KR8RCwMCAQEsBhgnTWWdwJ1lTScYBgEsAZABLAJYyPpxIFwZCwsUHCMoLC4YEQj6yCpSfmpxUDMzUHFqflIBVgEs%2FtQBLP7UAAAAAAH%2F4gC4BGgD3gAFAAADFwkBNwEe4wFgAWHi%2Fb4Bm%2BMBYf6f4wJDAAABAEYA2gTMBAAABQAAEwkBJwkBRgJEAkLi%2Fp%2F%2BoAMd%2Fb0CQ%2BP%2BnwFhAAAAAAL%2FOgBkBXYD6AAIABEAKACwBy%2BwBM0BsBIvsAfWsATNsRMBK7EEBxESsAE5ALEEBxESsA45MDEDCQEjESEXIREBFyERIwkBIxHGASsBLMsBgdf84AGU1wF9xgErASvIArwBG%2F7l%2FnDIAlgBLMj%2BcP7lARsCWAAAAAEAEgAABKoEsAAyAEYAsiIAACuwGTOwLM2wLBCwJs2xFR0yMrAvL7AEzbAQL7AJzQGwMy%2BwJNawH82wHxCxHAErsBfNsTQBK7EXHBESsC05ADAxEyY3NjMhNz4BOwEyFhQGKwEDDgIrARUUBiImPQEhFRQGIiY9ASMiJjU0NjMhNyEiJicSBQ8OGQOAJgUbEV4UHh4UNskCCB4SHx0qHf7UHSodMhUdHRUCFzD9hyAtBQOrGBITohEVHSod%2FD8EDRYyFB4eFDIyFB4eFDIeFBUdyCoWAAAAAAIAAAAABLAETAADAA8AIACyAAAAK7ABzbAEL7AFzbANMrAJzQGwEC%2BxEQErADAxMREhEQE1MzQ2MyEyFhUhFQSw%2B1DIOykBLCk7AfQDIPzgA4RkKTs7KWQAAAAAAgABAAAF3QRMAAMAEAAoALIAAAArsAHNsA8vsA3NsAUysAnNAbARL7ESASsAsQEAERKwBDkwMTMBIQkBETM0NjMhMhYVIRUhAQEsBLD%2B1PtQyDspASwpOwH0%2FBgCvP1EAZACWCk7OynIAAAAAQEuAAADggSwAAkAIQCyCQAAKwGwCi%2BwAdawB82xCwErsQcBERKxBAk5OQAwMQEzESMJASMRMwEBLsbGASoBKsbG%2FtYBLAJYASz%2B1P2o%2FtQAAAAAAQAAAS8EsAOCAAkAHACwCC%2BwAs0BsAovsQsBKwCxAggRErEABTk5MDERARUhNQkBNSEVASwCWAEs%2FtT9qAJYASrGxv7W%2FtfFxQAAAAQAAAAABLAEsAAPABkAHQAhAEkAsgwAACuwGs2wHjKwHS%2BwIDOwBc2wEC%2BwFM0BsCIvsBvWsB7NsB4QsR8BK7AJzbIfCQors0AfAAkrsSMBK7EJHxESsBk5ADAxPQE0NjMhMhYdARQGIyEiJhsBPgEzITIWFxMBMzUjFzM1IzspA%2BgpOzsp%2FBgpOx%2BsBSQUAqATJQWs%2Fo9kZMhkZGRkKTs7KWQpOzsBVQLjFictF%2F0k%2FtRkZGQAAAAD%2F5sAZASwBEwACwApADcAJgABsDgvsADWsAbNsAYQsSoBK7AyzbE5ASuxKgYRErEMGjk5ADAxAzU0Nj8BFS4EFzU8Az4FOwElESUjExYOASMiKwEiJicCARE0NjMyFhURFAYjIiZlMhkZBA4iGhbJAQICBAUHBMgCo%2F1dJi8CCgwPBQNTFB0ENwPoHRUUHh4UFR0CWDIYMg0N%2BgIHFRYhVfoCDAQKBAcDBQIB%2BvyuyP7sDAsBHBUBUf7iA1IVHR0V%2FK4UHh4AAAIASgAABGYEsAArADMANQCyLwAAK7AzzbApL7AfM7ADzbAYMrIpAwors0ApJQkrAbA0L7E1ASsAsSkzERKxLDE5OTAxEzQ2OwE3Ez4BNycmNjsBMhYHBhUeARcTFzMyFhUUBgcOBCMiJi8BLgEFHgEyNjcGIkobFBJ1Pw96UxIGEhReFBIGElN6Dz92ERQbGhIIHmRqn0998To6EhoBpww4RjgLMGwBXhUdrQFHTX4UIBMaFRMkARN%2FTf65rR0VFCgHAwsdFRIpFBQHKdwxPT0xBgAAAQAVABUEnAScABcAABMXBzcXNxc3Fyc3JzcnNwcnBycHJxcHFxXpTuAtm5st4E7qtLTqTuAtm5st4E7pswG9LeBO6bOz6U7gLZucLOFO6bS06U7hLJwAAAMAAABkBLAEsAADACIALgAaAAGwLy%2BwKNawFs2xMAErsRYoERKwFDkAMDE1MxEjARQ7ARY7ATI3EzY9ATQmIyE2PQE0JisBIgYPAgYVExE%2FATMVByEVAyMnyMgBLGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiMgCWP3zS2Q5AVgfK2QsUXYHlixRKBzGxBol%2FokBd9XUr%2BF9%2FolkAAAAAAMAAAAABLAETAADACIALgBwALIcAAArsCXNsBUvsAAzsCjNsC4vsAfNsAEysCwvsArNAbAvL7AA1rADzbADELEEASuwI82wIxCxJgErsBjNsBgQsSkBK7ARzbEwASuxJiMRErIIKCw5OTmwGBGwFTmwKRKwKzkAsS4cERKwKjkwMRkBMxE3ETQ7ATY7ATIXExYdARQGIyEWHQEUBisBIiYvAiY3HwEzNSchNQMjByPIZGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiGQBkAJY%2Fah9AZBLZDn%2BqB8rZCxRdgeWLFEoHMbEGiXU1a%2FhfQF3ZAAAAAMACABkBRUEVQADACIAQQB5ALAgL7AkzbAbL7ApzbAxL7AUzbABMrIxFAors0AxAAkrAbBCL7AA1rADzbADELEEASuwI82wIxCxLQErsBjNsi0YCiuzQC08CSuxQwErsS0jERK0DBEbFD8kFzkAsRskERKwIzmwKRGwGDmxFDERErIXPEE5OTkwMTcRMxE3ETQ2PwElNjMyHwEWFRQPASEyFhQGKwEDDgEjISImNxchEz4BOwEyNjU0JiMhKgIuBCcmNTQ%2FAScFCMhkHA4OAWoOCxEMbQ4LVQEuVWttVGuCBxsP%2FqsHpmRkASWDBhsPyxASEhD%2BNwELBAkDBwQEAgUKk1b%2BrcgCWP2oSwINESUKCeYGDHAOFBIOeUyQTv6tFieiG1kBUxUoHhUUHQEBAgMFAwwIDg23U%2BwAAAAD%2F5sAZQSwBFYAHgA4ADwAeQCwGC%2BwJM2wHS%2BwH82wOC%2BwA82wOjKyOAMKK7NAODkJKwGwPS%2BwAdawH82yHwEKK7NAHywJK7AfELEmASuwFM2wFBCxOQErsDzNsT4BK7EmHxEStAcMHAQpJBc5ALEdJBESsCY5sB8RsAA5sQM4ERKyAScsOTk5MDECNDYzBScmNTQ%2FATYzMhcFHgIVERQGIyEiJicDIyInMzIWFxMhNxElBxcWFRQHDgUqASMhAREzEWVsVQEuVQsObQ0QCw4BbQcUIawI%2FqsQGwaCa1QK3g8bBoMBJWv%2BqVeRCgUBBQMHBAkECwH%2BJAPpyAJDkEwBeRAQFQ1xDAbmBA0nEf3yDaEoFQFTZCkU%2Fq1ZAfbtU7gLDwsJAwUDAgEB%2FgwCWP2oAAAAAAMAYQAABEwFDgAbADYAOgBHALI3AAArsDjNAbA7L7AV1rA3MrApzbIpFQors0ApOgkrsDMysCkQsS8BK7AOzbE8ASuxKRURErESNjk5sQ4vERKwETkAMDEbAR4CMyEyNjURNCYnJTU0JiIGFREnJgYPAQYXNxcWNz4FPAE1ETQ2Fh0BFBYXBREHIQM1IRVh5gQNJxECDQ2iKBX%2BrU6QTHkPJQ5wFltTtxYZAwUDAgEBMjIoFQFTWf4JCAJYAs%2F%2BlQYTH6YHAVYPGwaDalRua1X%2B0lQMAQ1uFgtWkhINAQUDBwQJBAsBAcgWEhMVyhAbBoL%2B2mT%2BcMjIAAAAAAMAAgAKA%2B0FGAAdADQAOABFALA1L7A2zQGwOS%2BwCtawNTKwK82yKwoKK7NAKzgJK7AhMrArELEnASuwD82xOgErsSsKERKxDB85ObEPJxESsA05ADAxEwYfAR4BPwEUBhUUFjI2PQElPgE1ETQmIyEiBg8BAxMhFxEFDgEdARQGJjURPAEuAScmDwETNSEVAhAWcA0mD3kBTZBOAVMUKaIN%2FfMRJQoKmuwB91n%2BrBQoMjIDBwYYFriSAlgCSR8Wbg0BC1UzzS5UbG5UaoMGGw8BVgemHA4P%2FoIBU2T%2B2oIGHA%2FKFhISFgHICwcQCAMNEpICccjIAAAAAgAFAAAEsASrAA4AFQA6ALIMAAArsBDNsA8vsAXNAbAWL7AA1rAQzbEXASsAsRAMERKxCRI5ObAPEbEAEzk5sAUSsQgUOTkwMRM0PgIzMgQSEAIEICQCARchBwkBFQVfoN16ogEToKD%2B7f68%2FuygASUCASwCAZL%2BbgJVet2gX6D%2B7P68%2Fu2goAETAQrJwgEmASrFAAIAAAAABKsEqwAQABcAOACyDgAAK7AUzbAWL7AFzQGwGC%2BwFNawCs2xGQErALEUDhESsBI5sBYRsgoAETk5ObAFErAXOTAxETQ%2BAjMyHgIVFAIEICQCNwEnITchNV%2Bg3Xl63aBfoP7s%2Frz%2B7aDIAZICASwC%2FtQCVXrdoF9foN16ov7toKABE6X%2B2sLJxQAAAAIABQAABLAEqwAOABUAPgCyDAAAK7ARzQGwFi%2BwANawEc2wERCxEgErsAnNsRcBK7ERABESsQwPOTmwEhGxBRU5ObAJErELFDk5ADAxEzQ%2BAjMyBBIQAgQgJAIlMxEzETMBBV%2Bg3XqiAROgoP7t%2Frz%2B7KABJ8jIyP7UAlV63aBfoP7s%2Frz%2B7aCgAROl%2FtQBLAGQAAACAAUAAASwBKsADgAVAE0AsgwAACuwFC%2BwBc0BsBYvsADWsBXNsBUQsRIBK7AJzbEXASuxFQARErEMDzk5sBIRsQUQOTmwCRKxCxE5OQCxFAwRErIIABA5OTkwMRM0PgIzMgQSEAIEICQCJQkBIxEjEQVfoN16ogEToKD%2B7f68%2FuygAScBLAEsyMgCVXrdoF%2Bg%2Fuz%2BvP7toKABE6X%2BcAGQASz%2B1AAAAAAEAAUAAASwBKsAEACIAJgAmgB8ALIOAAArsCrNsE8vsIwvAbCbL7AA1rAUzbAUELFYASuwCs2xnAErsRQAERKwEjmwWBFADg4FEyEjJDxKVXiEhYmUJBc5sAoSQAoNIiYwO1pndpmaJBc5ALFPKhEStxYwNjxGSFVXJBc5sIwRQAkKABRYbIWNjpQkFzkwMRM0PgIzMh4CFRQCBCAkAhMGFgcUFgcyHgEXFhceAjcWBhcWFxQOARcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQcGJyY3NjceAhceAR8BNDYnJjY3PgM3JjcyFjI2Ny4DJzYnHgE%2FATYuAScGJw4DBwYmBw4BBwYWBw4BJT4BNxYyPgE3FBYVLgM3MwVfoN16ed2gX6D%2B7f68%2Fuyg%2BQgbBiIBDBYYCBhUFj45HQguAyotBgEFaHUeIiMDDi4NDkYRCT0gLhAyEAQBBikEAggZGhcTEwsGEAYoGwYMKA4OEwQEJQQFCgcYFgYQCB8SFwkKKSM%2FDAsJHzYMCwcvUg8TEg8rGj4IDz0PFT4DAxMBAzEBAwMaAwoRCxIHIgksHCSiAQJVet2gX1%2Bg3Xqi%2Fu2goAETAVkhdxwJRhkLEwQMHggvHgQSShRHCQYTCgwDcx0kPh8JAQcHEAsBAgsLIxcCLwINCAMWJhIdGR0cHhAGAQEHChMlCQgDSRUXKwoOKhQZCRITAwkLFycVIAcnBQ0DBQQkIxYMAwMMEgYKAQMHBgcnDwsXByJxcQwkBwoMEQQYVQECBgQMXwAAAAABAAAAAgSvBIUAFAAAPAE3ASY2NzYXBRc3FgcGJwEGIi8BDwJYIU5gpI7%2B%2FZH7DaR7gv2sDysPb48rEAJXZck2XGWK6H6vXEYv%2FawQEG4AAAYAAABgBLAErAAPAB8ALwAzADcAOwBQALAML7A0zbA3L7AFzbAcL7AwzbAzL7AVzbAsL7A4zbA7L7AlzQGwPC%2BwNdaxMTkyMrAJzbEYKDIysjUJCiuzQDUACSuxECAyMrE9ASsAMDE9ATQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYBITUhEyE1IRMzNSM7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTsCWAH0%2FgzIASz%2B1GTIyMRkKTs7KWQpOzsBuWQpOzspZCk7OwG5ZCk7OylkKTs7%2Fplk%2FgxkArxkAAACAGQAAARMBLAAAwAJACUAsggAACuwAC%2BwAc0BsAovsAjWsAfNsQsBKwCxAAgRErAEOTAxEzUhFQUhAREHEWQD6PxKA4T%2BosgETGRkZP4M%2FtTIAfQAAAAAAwAAAGQEsASwAAkAIQAlAGAAsAcvsAHNsAovsB0zsA7NsRgiMjKwJS%2BwE80BsCYvsA%2FWsCLNsCAysg8iCiuzQA8LCSuwADKwIhCxIwErsB4ysBjNshgjCiuzQBgcCSuwAjKxJwErALEOChESsB85MDE9ASEVFAYjISImGQE0NjMhNTQ2OwEyFh0BITIWFREhNSMVETM1IwSwOyn8GCk7OykBLDspyCk7ASwpO%2F4MyMjIyMjIKTs7AVUBkCk7ZCk7OylkOyn%2BcGRkAfRkAAAAAAQAAAAABLAEsAAGAA0AFAAbABQAsgAAACuwEjMBsBwvsR0BKwAwMTERFzcXBxcBNxc3JzchATcXNxEhNwM3JyERJweByI7Igf5wgciOyIH%2BcALZjsiB%2FnCByMiBAZCByAGQgciOyIEDIIHIjsiB%2FJmOyIH%2BcIEC5siB%2FnCByAAABgAAAAAEqASoAAsAFQAfACkAQgBMANIAsgoAACuwD82wHi%2BwSjOwGc2wRTKwKC%2BwOTOwI82wNDKyKCMKK7NAKEEJK7AUL7AEzQGwTS%2BwAdawDM2wDBCxFwErsBvNsBsQsSELK7AmzbAmELEqASuwPs2wPhCxQwErsEjNszdIQwgrsDHNsDEvsDfNsEgQsREBK7AHzbFOASuxJhsRErMKDhQDJBc5sT4qERKxLTw5ObE3MREStQkPEwQvOyQXOQCxHg8RErMHAAwRJBc5sBkRsyotPD4kFzmwKBKxBgE5ObAjEbEvOzk5MDEYARIkIAQSEAIEICQTFBYgNjU0JiAGFjQ2MhYVFAYjIjY0NjMyFhQGIyIXNDY%2FAiY1NDYzMhYUBiMiJwcWFRQGIiYlNDYyFhQGIyImoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzbR8uICAXFk0gFxYgIBYXUikfegEJIBcWICAWDg83ETNIMwEeIC4fIBYXIAGyAUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FOHLh8gFhcg5CwhIC4guiAxBX4BDg4WISAuIAqRFh0kMzNSFiAfLiAgAAAAAf%2FYADsEugSwAE8AOgCwBS%2BwJ82wIC%2BwFc2wNi%2BwSs0BsFAvsVEBKwCxJwURErA%2FObAgEbQLDxobMSQXObAVErEyMzk5MDECBhceATMyNz4CNzY3AT4BJyYnJiMiBgcBBxcBNjc2MzIXFgcBBiMiJicmPgI3NjcBPgIzMhceAQcGDwEDHwEBPgEnLgEnJiMiBwYHARsaMCN2Rj84IUApJygRAYojGA8bWhQJLkEj%2FnsHRQF5FBMXGyYPECT93TRJN1oJBQ8wJCYYFAFcND1rNhkXX3YIB1v8%2FQdFAgVDOBEQZk9FU2taKEf%2BAAHWvk45QBwQMSorLBEBiiNiL1cRAiEj%2FnQHQwF1FhAXJCck%2Fd00Qj8jPkAkJBUUAVw0NzUEEZtiZVv5%2FwAHPAH%2FQ7RdV4YkITcYR%2F4AAAAAAAIAUAA2BMMEWAAbADUAPQCwMy%2BwLTOwA82wBzIBsDYvsADWsBzNsBwQsSoBK7AKzbE3ASuxKhwRErMDBw8YJBc5ALEDMxESsAU5MDETNDYzMhc2MzIWFRQOAgcGDwEnLgInLgM3FB4BHwEWFzY%2FAT4CNTQmIyIPAScmIyIGUMWEj2Jnj4HCI1dDR8VgERArckZCR0NXI6o9PkAWXWFScQxAQz5gOUo6dnIzSDxjAxCDxYGBxYMuWmxHRr%2BDFxc6gUZBRkdsWi4bVkE%2BFlpvXG8MPkZYHEdhU6uuUGMAAAAAAgA5%2F%2FIEdwS%2BABgAMwAAExQfARYzMjcBNjQvASYnBxcBJzcnJicHBhMUHwEWFzcnARcHFxYXNz4BNTQvASYjIgcBBjlCjURbXUIBG0JCjQgLadT%2Be%2FdfEi4dN0LUQo0HDGnUAYX3XxIvHh0jN0KNQl1fQP7lQgFhX0COQkIBG0K6Qo0JCGnU%2Fnv4XxItODdCAQRdQo0HCmnUAYX3YBExMx0jaitdQo1CQv7lQAAAAAADAMgAAAPoBLAAEQAVAB0ARQCyDwAAK7AZzbAdL7ASzbAVL7AGzQGwHi%2BwANawEs2wEhCxEwErsAvNsAsQsBvNsBsvsR8BK7EbEhESsgYFFjk5OQAwMTcRND4CMh4CFREUBiMhIiY3IREhEhQWMjY0JiLIPGacqppkOjsp%2FagpO2QCWP2oxD1WPT1WZAO5FTIuHh4uMhX8Ryk7O%2FECvPzZVj09Vj0AAAABAAAAAASwBLAAGAARALIAAAArAbAZL7EaASsAMDExATcnIQEnJjQ3NjIXARYUBwYiLwEBEScHAS%2FP0gEsAQsjDw8OKg4BGw8PDioOJP7p1NABfNDUARckDioODw%2F%2B5g8qDg8PI%2F71%2FtTSzwADAScAEgQJBOEAMQA9AEMAlwCwLS%2BwKjOwBM2wPjKyLQQKK7NALSwJK7A7L7AfM7ASzbISOwors0ASEwkrAbBEL7AO1rAAMrAyzbABzbAyELEsASuyBBI6MjIysCvNshQfPjIyMrArELFAASuwJ82wHCDWEbAbzbFFASuxMgERErACObAsEbAJOQCxBC0RErApObA7EbYADhsnOkBDJBc5sBISsBU5MDEBMx4BFxEuASMuBDU0PgE3NTMVHgQXIy4BJxEXHgQVFAYHFSM1JicuARMUHgMXFhcRDgETNjU0JicBJ4sFV0oGEwIuQk4vIViCT2QmRVI8KwOfCDZKQCI8UDcosptkmFUoGagQESoUHAcEPUnqqlhSAbFNYw8BTwEGDhkvOVg3XIdDB05PBBMsP2lCSEsN%2Fs0OBxMsPGU%2Bi6oLTU4RVyhrAh4dLBgVBgcCAQESCDv9KxKFQEcZAAAAAQBkAGYDlAStAEMAjQCwMS%2BwKs2wAC%2BwHjOwAc2wHDKwEy%2BwC82yEwsKK7NAEw4JKwGwRC%2BwB9awOTKwGM2wJDKyGAcKK7NAGB4JK7IHGAors0AHAAkrsBgQsQ8BK7AOzbFFASuxGAcRErMCOEJDJBc5sA8RtQsfICoxMyQXObAOErAsOQCxKjERErEtOTk5sAARsSw8OTkwMRM1MyYnLgE%2BATc2MzIWFSM0LgEjIgYHBhUUHgEXMxUjFgYHBgc%2BATM2FjMyNxcOAiMiJgcOAQ8BJz4FNz4BJ2SmGBQKCQMvLWGmgcqZRFAkJVQUKSEXHvHFCBUVKTojYhUhjCFMPDIpTycqF9IyJ1YXGDcGFQoRDBEJMAwkAlhkMTcaO1ZeKFiydzRLHB0VLDkcUyozZDKCHTs2Cw4BIh6TGRcDQgQEGgwLkQQOBg0LEQo3j0cAAgACAAAErgSwAAYADQAfALIMAAArAbAOL7AM1rALzbEPASuxCwwRErAIOQAwMRMJASMRIxEJAiMRIxECASoBKsbIAZIBKgEqxsgBLP7UASwDhPx8AlgBLP7U%2FHwDhAAABQACAAAD6ASwAAYADAAWAB4AIgCmALIHAAArsAYzsArNsgcAACuwCM2wEy%2BwFM2xAAQyMrANL7AOzbAdL7AfzbIdHwors0AdFwkrsBoysCIvsBjNsAIyAbAjL7AB1rAEzbAEELEIASuxDRcyMrAKzbEdHzIysAoQsRUBK7EbIDIysBDNsQsZMjKzEhAVCCuwE82wEy%2BwEs2xJAErsQQBERKwBjmwCBGwBTkAsRQIERKwEDmwDRGwETkwMRMzETMRMwEhNTMVMxUBNSEVIxUjNTM1AxEhESM1IxU3MzUjAsbIxv7WAZBkyP7UASxjZGPIASxkZAFkZAEsA4T8fP7UyGRkAZBkyGRkZAEsAfT%2BDGRkyMgABQACAAAD6ASwAAYADgAUAB4AIgCgALIGAAArsQcKMzOwDS%2BwH82wIi%2BwCM2wDy%2BwEs2wEM2wGy%2BwHM2wFS%2BwFs2wAjIBsCMvsAHWsATNsAQQsQcBK7EPFTIysA7NsREfMjKwDhCxCwErsR0gMjKwCs2xExcyMrMaCgsIK7AbzbAbL7AazbEkASuxBAERErAGObAHEbAFOQCxIh8RErMBBAUAJBc5sRwQERKwGDmwFRGwGTkwMRMzETMRMwEhESERIzUjFQM1MxUzFQE1IRUjFSM1MzUDMzUjAsbIxv7WAZABLGRkZGTI%2FtQBLGNkY2NkZAEsA4T8fP7UAfT%2BDGRkArzIZGQBkGTIZGRk%2FHzIAAAEAAIAAARMBLAABgAMABIAFgBrALILAAArsAwvsBPNsBYvsAjNsA0vsA7Nsg0OCiuzQA0RCSsBsBcvsBHWsBDNsxMQEQgrsAfNsAcvsA0zsBPNsBAQsRQLK7ALMrAKzbEYASsAsQgLERK0AAIDBgEkFzmxDg0RErEFBDk5MDETCQEjESMRBREhESM1AzUzESMREzM1IwIBKgEqxsgCWAEsZMjIZAFkZAEs%2FtQBLAOE%2FHzIAZD%2BDGQD6GT%2BDAGQ%2FHzIAAAABAACAAAETASwAAYADAASABYAawCyCwAAK7AHL7AIzbASL7ATzbISEwors0ASEAkrsBYvsA7NAbAXL7AL1rAKzbMTCgsIK7ANzbANL7AHM7ATzbAKELEUCyuwETKwEM2xGAErALETCxEStAACAwYBJBc5sQ4WERKxBQQ5OTAxEwkBIxEjESU1MxEjEQMRIREjNSczNSMCASoBKsbIAljIZGQBLGRjZGQBLP7UASwDhPx8ZGT%2BDAGQAZABkP4MZGTIAAAAAAUAAgAABLAEsAAGAAoADgASABYAUgCwBy%2BwCM2wCy%2BwDM2wDy%2BwEM2wEy%2BwFM0BsBcvsA%2FWsgcLEzIyMrASzbAWzbIWDwors0AWCgkrs0AWDgkrsRgBKwCxCwgRErMCAwYAJBc5MDETCQEjESMRBTUhFQE1IRUBNSEVATUzFQIBKgEqxsgB9AH0%2FgwBkP5wASz%2B1MgBLP7UASwDhPx8yMjIASzIyAEsyMgBLMjIAAAABQACAAAEsASwAAYACgAOABIAFgBSALAHL7AIzbALL7AMzbAPL7AQzbATL7AUzQGwFy%2BwC9ayBw8TMjIysA7NsArNsgoLCiuzQAoSCSuzQAoWCSuxGAErALELCBESswIDBgAkFzkwMRMJASMRIxEFNTMVAzUhFQE1IRUBNSEVAgEqASrGyAH0yMgBLP7UAZD%2BcAH0ASz%2B1AEsA4T8fMjIyAEsyMgBLMjIASzIyAAAAAACAAAAAARMBEwADwAfACoAsg0AACuwE82wHC%2BwBM0BsCAvsADWsBDNsBAQsRcBK7AJzbEhASsAMDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFeulASyi7u2j%2FtSl68g7KQH0KTs7Kf4MKTsBkAEspevto%2F7UpevrQSk7OykB9Ck7OykAAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMtAe6iASyl6%2Bul%2FtSj7cg7KQH0KTs7Kf4MKTvIAU3%2BswGQASyj7eul%2FtSl6%2BtBKTs7KQH0KTs7Kf4M%2BvoAAAAAAwAAAAAETARMAA8AHwAiAD4Asg0AACuwE82wHC%2BwBM0BsCMvsADWsBDNsBAQsRcBK7AJzbEkASuxFxARErEgIjk5ALEcExESsSAhOTkwMRkBNDYzITIWFREUBiMhIiY3FBYzITI2NRE0JiMhIgYVFxsB66UBLKPt66X%2B1KXryDspAfQpOzsp%2FgwpO2T6%2BgGQASyj7e6i%2FtSl6%2BtBKTs7KQH0KTs7KWT%2BswFNAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMhA%2BulASyl6%2B2j%2FtSl68g7KQH0KTs7Kf4MKTtkAfT6AZABLKXr66X%2B1KLu7T8pOzspAfQpOzsp%2FnABTQACAAAAAAUUBEwABgAaADwAsgcAACuwCM2wAC%2BwAc2wES%2BwEs0BsBsvsAzWsBfNsRwBKwCxCAcRErAFObEBABESsAQ5sBERsAM5MDEZASE1CQE1EzUhMjY1ETQmIyE1ITIWFREUBiMBLAGQ%2FnDIAfQpOzsp%2FgwBkKXr66UBkAEsyP6i%2FqLI%2FnDIOykB9Ck7yOul%2FtSl6wAAAAEA2QACA9YEngAhACgAsA4vsBPNAbAiL7Ac1rAWzbEjASuxFhwRErAZOQCxEw4RErAPOTAxExYzIQIHBh8BMzI3NgAzNicmIwU2Ejc2LwEjIgcOAQAHBtkIFwEumwUFCQkJDgwLAg8BDgkIF%2F7TAZoCAgcJCQ8KBLz%2B80sQAgcT%2FkoUFQsIDw0CaRMREQEEAa8MDwwJEAbT%2FtFWEwAAAAACAAAAAAUUBEwAGAAfAD8AsgMAACuwCM2wCBCwBs2wGS%2BwGs2wEC%2BwEs2wFM0BsCAvsADWsAvNsSEBKwCxGgMRErEdHjk5sBARsBw5MDERFBYzITI3NSEiJjURNDYzITUuAS8BIgYVAREhNQkBNeulASwvNf4MKTs7KQH0DshdXaXrAlgBLAGQ%2FnABkKXrD7k7KQH0KTu5BAcCAuul%2FtQBLMj%2Bov6iyAACAAAAAASwBLAAHQAkAFQAsgMAACuwD82wFi%2BwGs0BsCUvsADWsBLNsBIQsQsBK7AHzbEmASuxCxIRErUYGR4fICQkFzmwBxGwIzkAsRYPERK1CAkeIiMkJBc5sBoRsB85MDERFBYzITI2PQEnBxUUBiMhIiY1ETQ2OwE3JyMiBhUlASchEScB66UBLKPtTno7Kf4MKTs7KZx2SmSl6wHwAWGVAfSV%2FqoBkKXr66ViSXuUKTs7KQH0KTt6TuulCQFWlf4Mlf6fAAMABAAEBKwErAALABMAGwBaALAKL7APzbAbL7AXzbATL7AEzQGwHC%2BwAdawDc2wDRCxFQErsBnNsBkQsREBK7AHzbEdASuxGRURErcECQoODxITAyQXOQCxFxsRErcBBgcMDRARACQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiACNDYyFhQGIgSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqhdyoHJyoAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BEqBycqByAAAAAwAAAAAETASwAAkAEAAUAC4AsgkAACuwEc2wFC%2BwBc2wCzIBsBUvsBLWsAjNshIICiuzQBIACSuxFgErADAxMRE0NjMhMhYVEQkCIREhEQEzNSMOCwQYCxD8GAG9AcL%2B2f7UAfRkZAETCw4PCv7tAyD%2BDAH0AZD%2BcP12MgAAAAADAAAAAARMBLAACQAQABQAKwCyCQAAK7ARzbAUL7AFzQGwFS%2BwEtawCM2yEggKK7NAEgAJK7EWASsAMDExETQ2MyEyFhURASERIREhCQEzNSMOCwQYCxD8GAEsASwBJ%2F5DAV5kZAETCw4PCv7tArz%2B1AEsAfT75jIAAAAAAwAAAAAETAR%2FAAkADwATAC4AsgkAACuwEM2wEy%2BwBc0BsBQvsBHWsAwysAjNshEICiuzQBEACSuxFQErADAxMRE0NjMhMhYVEQkCJwEnATM1Iw4LBBgLEPwYATECVJr%2BRpYChWRkARMLDg8K%2Fu0Cwf7PAlSb%2FkaX%2FToyAAQAAAAABEwEsAAJAA0AFAAYACsAsgkAACuwFc2wGC%2BwBc0BsBkvsBbWsAjNshYICiuzQBYACSuxGgErADAxMRE0NjMhMhYVEQEXNycDJRMHJwcXATM1Iw4LBBgLEPwYYdRhcAK5A%2FqV1JUBzmRkARMLDg8K%2Fu0D3GLVYfzgAQK775XUlf4NMgAEAAAAAARMBLAACQANABQAGAAuALIJAAArsBXNsBgvsAXNAbAZL7AW1rATMrAIzbIWCAors0AWAAkrsRoBKwAwMTERNDYzITIWFREBFzcnExcHFzcXCwEzNSMOCwQYCxD8fNRi1QPvldSV%2BQFjZGQBEwsODwr%2B7QJk1GHUAev6ldSU7QK5%2B%2BkyAAAAAAIAF%2F%2F%2FBLAErwAFAAgAFwCyBAAAKwGwCS%2BwBdawBs2xCgErADAxEwERCQERFwkBFwSZ%2FiX%2Byk8CoP1gAZ8DEPvJARD%2BdwGgzQOq%2FTgAAAAAAgAAAGQETASwABUAGQBNALARL7AGzbIRBgors0AREwkrsA4ysgYRCiuzQAYECSuwCDIBsBovsADWsBLNsAbNsBIQsQ8BK7ALzbEbASuxDwYRErIJFhc5OTkAMDE1ETQ2OwERIREzFxEUBisBESERIyImATM1Ix0V%2BgH0ZMgeFJb9RJYVHQJYZGSWA%2BgUHv7UASzI%2FK4VHQGQ%2FnAdA2fIAAMAAAA%2BBRQEsAATABkAHQBAALAPL7AGzbIPBgors0APEQkrsgYPCiuzQAYECSuwCDIBsB4vsADWsBDNsAbNsR8BKwCxBg8RErILFxg5OTkwMTURNDY7AREhETMXFQEnByERIyImJTcXARcBAzM1Ix0V%2BgH0ZMj%2B7Hh%2B%2FoaWFR0CRXt4AWF7%2FiXhZGSWA%2BgUHv7UASzI2v7teH%2F%2BcB2xe3gBYHv%2BJAOqyAAAAAADAAAABgUOBLAAEwAXACMAFQABsCQvsADWsBDNsAbNsSUBKwAwMTURNDY7AREhETMXEQcnASERIyImATM1IxM3JzcXNxcHFwcnBx0V%2BgH0ZMhnqv7W%2FreWFR0CWGRkZKqqf6qqf6qqf6qqlgPoFB7%2B1AEsyP7zZ6r%2B1v5wHQNnyPvVqqp%2FqqqAqap%2FqqoAAAADAAAAAASwBLAAEgAZAB0AbACwDi%2BwBs2yDgYKK7NADhAJK7AGELAMzbAaL7AbzbEECDIyAbAeL7AA1rAPzbIPAAors0APCwkrsAAQsAbNsA8QsRoBK7AdzbAMMrEfASuxGgYRErATOQCxDA4RErEXGDk5sRoGERKwCjkwMTURNDY7AREhETMXESEVIREjIiYlCQEjESMRAzUzFR0V%2BgH0ZMj%2BcP4MlhUdAlgBLAEsyMjIZJYD6BQe%2FtQBLMj%2B1Mj%2BcB2r%2FtQBLAEs%2FtQCvMjIAAAAAAMAAAAABLAEsAASABkAHQBbALAOL7AGzbIOBgors0AOEAkrsBovsBvNsQQIMjIBsB4vsADWsA%2FNsAbNsA8QsRoBK7AdzbEfASuxGgYRErATObAdEbANOQCxBg4RErILDBk5OTmwGhGwCjkwMTURNDY7AREhETMXEScBIREjIiYlMxEzETMJATUzFR0V%2BgH0ZMjI%2Ftb%2BbpYVHQJYyMjI%2FtT%2B1GSWA%2BgUHv7UASzI%2Fm7I%2Ftb%2BcB2r%2FtQBLAEsAZDIyAAAAAADAAAAyASwBEwACQATABcAADUUFjMhMjY1ESE1ITU0JiMhIgYVEzUhFR0VBEwVHftQBLAdFfu0FR1kAZD6FR0dFQImZJYVHR0V%2FRLIyAAAAAYAAABmBLAErgAGAAoADgAVABkAHQCBALAFL7EWGjMzsALNsRccMjKwBy%2BxCw8zM7AIzbEMEDIyAbAeL7AH1rAKzbAKELELASuwDs2wDhCxFgErsBnNsR8BK7ELChESswIFBgEkFzmxFg4RErMEAw8QJBc5sBkRsxIUFREkFzkAsQIFERKwADmwBxGxARQ5ObAIErATOTAxEQEVIRUhFQM1MxUzNTMVMzUhNQkBNQM1MxU7ATUjASwBkP5wyGRkZGQBkAEs%2FtRkZGRkZAGQASrGyMYCusjIyMjIxv7W%2FtbG%2FgzIyMgAAAACAGQAAASwBLAAGAAvADoAshQAACsBsDAvsADWsATNsAQQsRcLK7AQzbMJEBcIK7AFzbAFL7AJzbAQELEKCyuwDs2xMQErADAxExE3FxEzETcXETMRNxcRBxEUBisBIiY1ESUUHgIfAREUFjsBMjY1ETQmBwUOARVkMjJkMjJkMjJkHRXIFR0CWBUdHQsKHRXIFR0kGv7sGSUCvAGQZGT%2B1AEsZGT%2B1AEsZGT%2BcMv%2BQRUdHRUBv2QdNSEYBgX%2BcxUdHRUEUh8TEXQRRR8AAAAAAQBkAAAEsARMADMAOACyAAAAK7AMM7AzzbICCw4yMjKwKC%2ByGBwlMzMzsCfNsBoyAbA0L7E1ASsAsSgzERKxBiA5OTAxMyE1IiY1ESERFAYjFSE1Ii4DNRE0Nj8BNSEVMhYVESERNDYzNSEVMh4DFREUBg8BZAGQSxkB9BlLAZAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGTgMJgGK%2FnYmDDg4AQUJFQ4DeBYZAQI4OAwm%2FnYBiiYMODgBBQkVDvyIFhkBAgAGAAAAAARMBEwADwAYABwAIAAqAC4AMgCyGAAAK7AQzbAWL7ASzbISFgors0ASFAkrAbAvL7EwASsAsRIQERKzBAMZHCQXOTAxERQWMyEyNjURNCYjISIGFRMhNzMlESEHIQM1IRUBNSEVASEXFSUzNSEnIQE1JRU7KQEsKTs7Kf7UKTtkAZDIaQEn%2Fldk%2FolkASz%2B1AEs%2FtQBkMgBJ2n%2BV2T%2BiQH0AZABLCk7OykB9Ck7Oyn9RMhi%2FtZkASzIyAEsyMgBkMhiYshk%2FUajhaMAAQAQABAEnwSfACAAABIeAxceAzM%2FATYmLwEmBg8BLgEnNz4BLwEuAQ8BEAEfPpJmZ9GXex8foxEHE8ATNBB2jvxldhEGDosOLRKiA%2BQriY%2FUZmeSPSEBohIuDogOBBF2ZfyOdhExFMITBhGiAAAAAAIAAAAABLAETAAdAEAALwCyGwAAK7AMzbAoL7A4zQGwQS%2BxQgErALEMGxESsSAvOTmwKBGzJikyQCQXOTAxPQE0NjcBNTQ%2BAzIeAh8BFQEeAR0BFAYjISImERQWPwE%2BAT0BNiAXFRQWHwEWNj0BLgQjIg4EDwEVDgFtAhYmUnBSJhYBAQFtDhUdFfu0FB4dFMoUHY0BPo0dFMoUHQYaZHzaflymdWQ%2FLAkJMtQUMw4BLzIEDSAZFRQbHAoKMv7RDjMU1BUdHQKrFRkEIQQiFZIYGJIVIgQhBBkVyAgZQTEpFSEoKCELCgACAGQAAASwBEwAAwAZABQAsgAAACuwAc0BsBovsRsBKwAwMTM1IRUlISc1NxEjFSM1IxUjNSMVIzUjERcVZARM%2B%2F8Dtn1kZGTIZMhkZGRkZMiW%2BmQBkMjIyMjIyP5wZPoAAAAAAwBkAAAEsARMAAkAEwAdACQAsgoAACuwFDMBsB4vsArWsBPNsBMQsRQBK7AdzbEfASsAMDEzIRE0JisBIgYVARE0NjsBMhYVETMRNDY7ATIWFRFkASw7KWQpOwGQOylkKTtkOylkKTsBkCk7Oyn%2BcAPoKTs7KfwYArwpOzsp%2FUQAAAAABf%2BcAAAEsARMAA8AEwAfACcAKwBIALINAAArsBDNsBMvsATNAbAsL7AA1rAQzbAQELERASuwCc2xLQErsREQERK1FBUgIygqJBc5ALETEBEStRQaICYoKSQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUzESM1IxMRMxFksHwCvHywsHz9RHywyAOE%2FHxkASzIyP7UyMgBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qAEsZGT%2B1GRkZAEsZP5wASz%2B1AAAAAAF%2F5wAAASwBEwADwATAB8AJwArAEgAsg0AACuwEM2wEy%2BwBM0BsCwvsADWsBDNsBAQsREBK7AJzbEtASuxERARErUUGSAjKCokFzkAsRMQERK1FBogJigpJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMzNTMVMxEjFSM1IwEzNTMRIzUjExEzEWSwfAK8fLCwfP1EfLDIA4T8fGRkZGRkZGQBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qMjIAfTIyP4MZAEsZP5wASz%2B1AAABP%2BcAAAEsARMAA8AEwAbACMARACyDQAAK7AQzbATL7AEzQGwJC%2BwANawEM2wEBCxEQErsAnNsSUBK7EREBESsxQVHB0kFzkAsRMQERKzFBocIiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETITUjETM1IQEhNSMRMzUhZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1AGQASzIyP7UASwB9HywsHz%2BDHywsBgCvP2oZAEsZP4MZAEsZAAAAAAE%2F5wAAASwBEwADwATABYAGQBEALINAAArsBDNsBMvsATNAbAaL7AA1rAQzbAQELERASuwCc2xGwErsREQERKzFBUXGCQXOQCxExARErMVFhcZJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMFERMtAWSwfAK8fLCwfP1EfLDIA4T8fGQBLGQBLP7UASwB9HywsHz%2BDHywsBgCvP6ilgEs%2FtSWlgAAAAAF%2F5wAAASwBEwADwATABcAHwAnAFoAsg0AACuwEM2wFC%2BwGM2wIzKwHy%2BwJTOwFc2wEy%2BwBM0BsCgvsADWsBDNsBAQsRQBK7AYzbAYELEcASuwIc2wIRCxJAErsBfNsBcQsREBK7AJzbEpASsAMDEDETQ2MyEyFhURFAYjISImNyERIRMRIRElMzI2NCYrAQQUFjsBESMiZLB8Arx8sLB8%2FUR8sMgDhPx8ZAK8%2FaiCKTY5JoIBEzYpgoImASwB9HywsHz%2BDHywsBgCvP2oAfT%2BDGRUglZWglQBLAAABf%2BcAAAEsARMAA8AEwAfACMAKQBIALINAAArsBDNsBMvsATNAbAqL7AA1rAQzbAQELERASuwCc2xKwErsREQERK1FBUgISQnJBc5ALETEBEStRQaICImKCQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUjEzMRMxEjZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1MjIAZFkZGNkZMgBLAH0fLCwfP4MfLCwGAK8%2FagBLGRk%2FtRkZGQBLP5wAfQABv%2BcAAAEsARMAA8AEwAZAB0AIQAnAEwAsg0AACuwEM2wEy%2BwBM0BsCgvsADWsBDNsBAQsREBK7AJzbEpASuxERARErcUFRocHh8iJSQXOQCxExARErcUGBobHiAkJiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNSMTNTMVFzM1IxMzETMRI2SwfAK8fLCwfP1EfLDIA4T8fGQBLMhkZWTIZGRjZGTIASwB9HywsHz%2BDHywsBgCvP2oAZBk%2FnDIyGRkASz%2BcAH0AAAAAAb%2FnAAABLAETAAPABMAHQAhACUAKwCbALINAAArsBDNsB4vsSIpMzOwH82wIzKwGi%2BwG82wFC%2BwJjOwFc2wJzKwEy%2BwBM0BsCwvsADWsBDNsBAQsR4BK7AUMrAhzbAhELEcASuwF82zGRccCCuwGs2wGi%2BwGc2wFxCxIgErsCXNsCUQsSoBK7ApzbApELAmzbAmL7ApELERASuwCc2xLQErALEbHxESsBc5sBQRsBg5MDEDETQ2MyEyFhURFAYjISImNyERIRc1IREjFSM1MzUDNTMVITUzFQM1MxEjEWSwfAK8fLCwfP1EfLDIA4T8fGQBLGNkY8dkASxkAchkASwB9HywsHz%2BDHywsBgCvMhk%2FtRkZMj%2BcGRkZGQBkGT%2BDAGQAAADAAQABASsBKwACwATAB0AeQCwCi%2BwD82wHS%2BwGs2wGS%2BwFs2wEy%2BwBM0BsB4vsAHWsA3NsA0QsRQBK7AazbAaELERASuwB82xHwErsRoUERK1Cg4TAxYdJBc5sBERtQkPBBIXGyQXOQCxGh0RErQHDRAAFCQXObAZEbAVObAWErMGDBEBJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIAM1NyEVIRUhFSEEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqodZAEs%2FtQBLP7UAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F3%2ByGRkyGQAAAQAAAAEBKgErAALABMAIAAkAKAAsAovsA%2FNsCEvsBQzsCLNsBsvsBXNsBMvsATNAbAlL7AB1rANzbANELEUASuwIM2wGzKyIBQKK7NAIB4JK7AgELEhASuwGTKwJM2wFzKwJBCxEQErsAfNsSYBK7EgFBESswoOEwMkFzmwIRGwFjmwJBKzCQ8SBCQXOQCxIiERErQHDRAAHiQXObAbEbIXGB85OTmwFRKzBgwRASQXOTAxGAESJCAEEhACBCAkEhAWIDYQJiADESEXFSM1IxUzFSMVMzUzFaABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qGQEsZGTIyMjIZAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9mgGQZGRkZGRkZGQA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%2F4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWFmwFCsAAAABUuZYrgAA%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIC8%2BCjxnbHlwaCAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZDsiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDQiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzNCIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI2IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTciIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYzIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU5OyIgZD0iTTAgMjc1djY1MHEwIDMxIDIyIDUzdDUzIDIyaDc1MHEzMSAwIDUzIC0yMnQyMiAtNTN2LTY1MHEwIC0zMSAtMjIgLTUzdC01MyAtMjJoLTc1MHEtMzEgMCAtNTMgMjJ0LTIyIDUzek05MDAgNjAwbDMwMCAzMDB2LTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDYwOyIgZD0iTTAgNDR2MTAxMnEwIDE4IDEzIDMxdDMxIDEzaDExMTJxMTkgMCAzMS41IC0xM3QxMi41IC0zMXYtMTAxMnEwIC0xOCAtMTIuNSAtMzF0LTMxLjUgLTEzaC0xMTEycS0xOCAwIC0zMSAxM3QtMTMgMzF6TTEwMCAyNjNsMjQ3IDE4MmwyOTggLTEzMWwtNzQgMTU2bDI5MyAzMThsMjM2IC0yODh2NTAwaC0xMDAwdi03Mzd6TTIwOCA3NTBxMCA1NiAzOSA5NXQ5NSAzOXQ5NSAtMzl0MzkgLTk1dC0zOSAtOTV0LTk1IC0zOXQtOTUgMzl0LTM5IDk1eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEzNiA1NTBsNTY0IDU1MHYtNDg3bDUwMCA0ODd2LTExMDBsLTUwMCA0ODh2LTQ4OHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDg1OyIgZD0iTTMgNjAwcTAgMTYyIDgwIDI5OS41dDIxNy41IDIxNy41dDI5OS41IDgwdDI5OS41IC04MHQyMTcuNSAtMjE3LjV0ODAgLTI5OS41dC04MCAtMjk5LjV0LTIxNy41IC0yMTcuNXQtMjk5LjUgLTgwdC0yOTkuNSA4MHQtMjE3LjUgMjE3LjV0LTgwIDI5OS41ek0zNjQgNzAwaDE0M3E0IDAgMTEuNSAtMXQxMSAtMXQ2LjUgM3QzIDl0MSAxMXQzLjUgOC41dDMuNSA2dDUuNSA0dDYuNSAyLjV0OSAxLjV0OSAwLjVoMTEuNWgxMi41IHExOSAwIDMwIC0xMHQxMSAtMjZxMCAtMjIgLTQgLTI4dC0yNyAtMjJxLTUgLTEgLTEyLjUgLTN0LTI3IC0xMy41dC0zNCAtMjd0LTI2LjUgLTQ2dC0xMSAtNjguNWgyMDBxNSAzIDE0IDh0MzEuNSAyNS41dDM5LjUgNDUuNXQzMSA2OXQxNCA5NHEwIDUxIC0xNy41IDg5dC00MiA1OHQtNTguNSAzMnQtNTguNSAxNXQtNTEuNSAzcS01MCAwIC05MC41IC0xMnQtNzUgLTM4LjV0LTUzLjUgLTc0LjV0LTE5IC0xMTR6TTUwMCAzMDBoMjAwdjEwMGgtMjAwIHYtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODY7IiBkPSJNMyA2MDBxMCAxNjIgODAgMjk5LjV0MjE3LjUgMjE3LjV0Mjk5LjUgODB0Mjk5LjUgLTgwdDIxNy41IC0yMTcuNXQ4MCAtMjk5LjV0LTgwIC0yOTkuNXQtMjE3LjUgLTIxNy41dC0yOTkuNSAtODB0LTI5OS41IDgwdC0yMTcuNSAyMTcuNXQtODAgMjk5LjV6TTQwMCAzMDBoNDAwdjEwMGgtMTAwdjMwMGgtMzAwdi0xMDBoMTAwdi0yMDBoLTEwMHYtMTAwek01MDAgODAwaDIwMHYxMDBoLTIwMHYtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODc7IiBkPSJNMCA1MDB2MjAwaDE5NXEzMSAxMjUgOTguNSAxOTkuNXQyMDYuNSAxMDAuNXYyMDBoMjAwdi0yMDBxNTQgLTIwIDExMyAtNjB0MTEyLjUgLTEwNS41dDcxLjUgLTEzNC41aDIwM3YtMjAwaC0yMDNxLTI1IC0xMDIgLTExNi41IC0xODZ0LTE4MC41IC0xMTd2LTE5N2gtMjAwdjE5N3EtMTQwIDI3IC0yMDggMTAyLjV0LTk4IDIwMC41aC0xOTR6TTI5MCA1MDBxMjQgLTczIDc5LjUgLTEyNy41dDEzMC41IC03OC41djIwNmgyMDB2LTIwNiBxMTQ5IDQ4IDIwMSAyMDZoLTIwMXYyMDBoMjAwcS0yNSA3NCAtNzUuNSAxMjd0LTEyNC41IDc3di0yMDRoLTIwMHYyMDNxLTc1IC0yMyAtMTMwIC03N3QtNzkgLTEyNmgyMDl2LTIwMGgtMjEweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODg7IiBkPSJNNCA2MDBxMCAxNjIgODAgMjk5dDIxNyAyMTd0Mjk5IDgwdDI5OSAtODB0MjE3IC0yMTd0ODAgLTI5OXQtODAgLTI5OXQtMjE3IC0yMTd0LTI5OSAtODB0LTI5OSA4MHQtMjE3IDIxN3QtODAgMjk5ek0xODYgNjAwcTAgLTE3MSAxMjEuNSAtMjkyLjV0MjkyLjUgLTEyMS41dDI5Mi41IDEyMS41dDEyMS41IDI5Mi41dC0xMjEuNSAyOTIuNXQtMjkyLjUgMTIxLjV0LTI5Mi41IC0xMjEuNXQtMTIxLjUgLTI5Mi41ek0zNTYgNDY1bDEzNSAxMzUgbC0xMzUgMTM1bDEwOSAxMDlsMTM1IC0xMzVsMTM1IDEzNWwxMDkgLTEwOWwtMTM1IC0xMzVsMTM1IC0xMzVsLTEwOSAtMTA5bC0xMzUgMTM1bC0xMzUgLTEzNXoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%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%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%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%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" width="100%" />
+ </td>
+ <td align="left" valign="top">
+ <div class="header">
+ <h4 style="font-size: 20px; margin: 10px">
+ Modelos de Regressão para Dados de Contagem com o R
+ </h4>
+ <h5 style="margin: 0px 0px 10px 10px">
+ <a href="https://github.com/leg-ufpr/MRDCr">
+ <code>github.com/leg-ufpr/MRDCr</code>
+ </a>
+ </h5>
+ </div>
+ </td>
+ </tr>
+</table>
+
+<div id="header">
+<h1 class="title">Análise de Contagens com Modelo Gamma Gount</h1>
+<h4 class="author"><em><p>Walmes M. Zeviani, Eduardo E. Ribeiro Jr & Cesar A. Taconeli</p></em></h4>
+</div>
+
+<div id="TOC">
+<ul>
+<li><a href="#funcao-densidade">Função Densidade</a></li>
+<li><a href="#recursos-interativos-com-o-rpanel">Recursos interativos com o <code>rpanel</code></a></li>
+<li><a href="#verossimilhanca-e-estimacao">Verossimilhança e Estimação</a></li>
+<li><a href="#numero-de-vagens-produzidas-em-soja">Número de Vagens Produzidas em Soja</a></li>
+<li><a href="#numero-de-graos-produzidas-em-soja">Número de Grãos Produzidas em Soja</a></li>
+<li><a href="#numero-de-graos-por-vagem">Número de Grãos por Vagem</a></li>
+<li><a href="#numero-de-capulhos-produzidos-em-algodao">Número de Capulhos Produzidos em Algodão</a></li>
+<li><a href="#numero-de-nematoides-em-linhagens-de-feijao">Número de Nematoides em Linhagens de Feijão</a></li>
+<li><a href="#numero-de-gols-por-partida-de-futebol">Número de Gols por Partida de Futebol</a></li>
+</ul>
+</div>
+
+<div id="funcao-densidade" class="section level2">
+<h2>Função Densidade</h2>
+<p>Se uma variável aleatória <span class="math">\(Y\)</span> tem distribuição de probabilidades Gamma Count, então sua função de probabilidade é <span class="math">\[
+p(y,\lambda,\alpha) =
+ \left(\int_{0}^{1}
+ \frac{(\alpha\lambda)^{y\alpha}}{\Gamma(y\alpha)}\,
+ u^{y\alpha-1}
+ \exp\{-\alpha\lambda u\}\, \textrm{d}u \right)
+ - \left(\int_{0}^{1}
+ \frac{(\alpha\lambda)^{y\alpha}}{\Gamma((y+1)\alpha)}\,
+ u^{(y+1)\alpha-1}
+ \exp\{-\alpha\lambda u\}\, \textrm{d}u \right),
+\]</span> em que <span class="math">\(\lambda\)</span> é o parâmetro de locação e <span class="math">\(\alpha\)</span> o parâmetro de dispersão.</p>
+<p>Essa função de probabilidade resulta da relação que existe entre intervalo de tempo entre eventos e do número de eventos dentro de um intervalo.</p>
+<p>Considere que <span class="math">\(\tau\)</span> seja a variável aleatória tempo entre eventos que acontecem ao longo de um domínio com distribuição <span class="math">\(\tau \sim \text{Gama}(\alpha, \beta)\)</span>. Sendo assim, a função desidade de <span class="math">\(\tau\)</span> é</p>
+<p><span class="math">\[
+f(\tau, \alpha, \beta) =
+ \frac{\beta^\alpha}{\Gamma(\alpha)}
+ \cdot \tau^{\alpha-1}\cdot \exp\{-\beta\tau\},
+\]</span> cuja média é <span class="math">\(\text{E}(\tau) = \frac{\alpha}{\beta}\)</span> e a variância é <span class="math">\(\text{V}(\tau) = \frac{\alpha}{\beta^2}.\)</span></p>
+<!--
+Se fizermos $\text{E}(\tau) = \frac{\alpha}{\beta} = \lambda$, então
+podemos usar $\alpha/\lambda$ no lugar de $\beta$ para ter uma
+parametrização com um parâmetro que represente a média da variável
+aleatória. Sendo assim, a densidade na parametrição com $\lambda$ é
+
+$$
+f(\tau, \alpha, \lambda) =
+ \frac{(\alpha\lambda)^\alpha}{\Gamma(\alpha)}
+ \cdot \tau^{\alpha-1}\cdot \exp\{-\alpha\lambda\tau\},
+$$
+cuja média é $\text{E}(\tau) = \lambda$ e a variância é
+$\text{V}(\tau) = \frac{\alpha}{(\alpha\lambda)^2} =
+\frac{1}{\alpha\lambda^2}.$
+-->
+<p>Ainda, o tempo decorrido até a ocorrência o <em>n</em>-ésimo evento é portanto,</p>
+<p><span class="math">\[
+\vartheta_n = \tau_1+\cdots+\tau_n ~ \sim \text{Gama}(n\alpha, \beta),
+\]</span> pois a soma de variáveis aleatórias Gama tem distribuição Gama, cuja média é <span class="math">\(\text{E}(\vartheta) = \frac{n\alpha}{\beta}\)</span> e a variância é, <span class="math">\(\text{V}(\vartheta) = \frac{n\alpha}{\beta^2}\)</span>. A função densidade de <span class="math">\(\vartheta_n\)</span> então é</p>
+<p><span class="math">\[
+f_n(\vartheta, \alpha, \beta) =
+ \frac{\beta^{n\alpha}}{\Gamma(n\alpha)}\cdot
+ \vartheta^{n\alpha-1}\cdot \exp\{-\beta\vartheta\},
+\]</span> e a função acumulada é</p>
+<p><span class="math">\[
+F_n(T) = \Pr(\vartheta_n \leq T) =
+ \int_{0}^{T} \frac{\beta^{n\alpha}}{\Gamma(n\alpha)}\cdot
+ t^{n\alpha-1}\cdot
+ \exp\{-\beta t\}\,\text{d}t.
+\]</span></p>
+<p>Decorre que, se <span class="math">\([0, T)\)</span> é um intervalo e <span class="math">\(N\)</span> é o número de eventos ocorridos dentro desse intervalo, então <span class="math">\(N < n\)</span> se e somente se <span class="math">\(\vartheta_n \geq T\)</span>, ou seja <span class="math">\[
+\Pr(N < n) = \Pr(\vartheta_n \geq T) = 1-F_n(T).
+\]</span></p>
+<p>Como <span class="math">\[
+F_n(T) = G(n\alpha, \beta T) =
+ \frac{1}{\Gamma(n\alpha)}
+ \int_{0}^{T} t^{n\alpha-1}\cdot\exp\{-\beta t\}\, \text{d}t,
+\]</span> podemos escrever <span class="math">\(\Pr(N = n)\)</span> como sendo a diferença de acumuladas da Gama, <span class="math">\[
+\Pr(N = n) = G(n\alpha, \beta T) - G((n+1)\alpha, \beta T).
+\]</span></p>
+<p>Em resumo, a distribuição para o número de eventos, quando se assume a distribuição do intervalo entre eventos é Gamma, é resultado da diferença de duas acumuladas da distribuição Gamma.</p>
+<p>A média da variável de contagem é resultado de <span class="math">\[
+\begin{align*}
+ E(N) &= \sum_{i=0}^{\infty} i\cdot \Pr(i) \\
+ &= \sum_{i=1}^{\infty} i\cdot \Pr(i)\\
+ &= \sum_{i=1}^{\infty} G(i\alpha, \beta T).\\
+\end{align*}
+\]</span></p>
+<p>Para um <span class="math">\(T\)</span> cada vez maior, tem-se que <span class="math">\[
+ N(T)\; \dot{\sim}\; \text{Normal}\left(
+ \frac{\beta}{\alpha},
+ \frac{\beta}{\alpha^2}\right).
+\]</span></p>
+<p>Considere que <span class="math">\[
+ \frac{\beta}{\alpha} = \exp\{x^{\top}\theta\} \Rightarrow
+ \beta = \alpha \exp\{x^{\top}\theta\}.
+\]</span></p>
+<p>Essa parametrização produz um modelo de regressão para a média do tempo entre eventos definida por <span class="math">\[
+ \text{E}(\tau|x) = \frac{\alpha}{\beta} = \exp\{-x^{\top}\theta\}.
+\]</span></p>
+<p>O modelo de regressão é para o tempo entre eventos (<span class="math">\(\tau\)</span>) e não diretamente para contagem porque, a menos que <span class="math">\(\alpha = 1\)</span>, não certo que <span class="math">\(\text{E}(N_i|x_i) = [\text{E}(\tau_i|x_i)]^{-1}\)</span>. Dessa maneira, <span class="math">\(-\theta\)</span> mede a variação percentual do tempo médio entre eventos para uma unidade de <span class="math">\(x\)</span>.</p>
+<pre class="r"><code># Definições da sessão.
+library(lattice)
+library(latticeExtra)
+library(grid)
+library(rpanel)
+library(bbmle)
+library(corrplot)
+library(plyr)
+library(car)
+library(doBy)
+library(multcomp)
+library(MRDCr)</code></pre>
+<pre class="r"><code># Função densidade na parametrização original.
+dgcnt</code></pre>
+<pre><code>## function(y, lambda, alpha) {
+## p <- pgamma(q = 1,
+## shape = y * alpha,
+## rate = alpha * lambda) -
+## pgamma(q = 1,
+## shape = (y + 1) * alpha,
+## rate = alpha * lambda)
+## return(p)
+## }
+## <environment: namespace:MRDCr></code></pre>
+<pre class="r"><code># Caso Poisson (gamma == 0).
+grid <- expand.grid(lambda = c(2, 8, 15),
+ alpha = c(0.5, 1, 2.5))
+y <- 0:30
+py <- mapply(FUN = dgcnt,
+ lambda = grid$lambda,
+ alpha = grid$alpha,
+ MoreArgs = list(y = y), SIMPLIFY = FALSE)
+grid <- cbind(grid[rep(1:nrow(grid), each = length(y)), ],
+ y = y,
+ py = unlist(py))
+
+useOuterStrips(xyplot(py ~ y | factor(lambda) + factor(alpha),
+ data = grid, type = "h",
+ panel = function(x, y, ...) {
+ m <- sum(x * y)
+ panel.xyplot(x, y, ...)
+ panel.abline(v = m, lty = 2)
+ # grid.text(label = sprintf("%0.1f", m),
+ # x = unit(0.95, "npc"),
+ # y = unit(0.9, "npc"),
+ # hjust = 1)
+ }),
+ strip = strip.custom(
+ strip.names = TRUE,
+ var.name = expression(lambda == ""),
+ sep = ""),
+ strip.left = strip.custom(
+ strip.names = TRUE,
+ var.name = expression(alpha == ""),
+ sep = ""))</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+</div>
+<div id="recursos-interativos-com-o-rpanel" class="section level2">
+<h2>Recursos interativos com o <code>rpanel</code></h2>
+<pre class="r"><code># Função densidade na parametrização de modelo de regressão.
+MRDCr::dgcnt
+
+react <- function(panel){
+ with(panel,
+ {
+ m <- LAMBDA
+ s <- sqrt(LAMBDA/exp(ALPHA))
+ y <- 0:max(c(YMAX, ceiling(m + 5 * s)))
+ py <- dgcnt(y = y, lambda = LAMBDA, alpha = exp(ALPHA))
+ if (POIS) {
+ pz <- dpois(y, lambda = m)
+ } else {
+ pz <- 0
+ }
+ py[!is.finite(py)] <- 0
+ plot(py ~ y, type = "h",
+ ylim = c(0, max(c(py, pz))),
+ xlab = expression(y),
+ ylab = expression(f(y)))
+ mtext(side = 3,
+ text = substitute(sum(f(y)) == s,
+ list(s = round(sum(py), 5))))
+ if (EX) {
+ m <- sum(y * py)
+ # v <- sum((y - m)^2 * py)
+ legend("topright", bty = "n",
+ legend = substitute(E(Y) == mu,
+ list(mu = m)))
+ abline(v = m, col = 2)
+ }
+ if (POIS) {
+ lines(y + 0.3, pz, type = "h", col = 3)
+ }
+ })
+ panel
+}
+
+panel <- rp.control(title = "Gamma Count",
+ size = c(300, 100), YMAX = 50)
+rp.slider(panel = panel, action = react,
+ variable = LAMBDA, title = "lambda",
+ from = 1, to = 0.75 * panel$YMAX,
+ initval = 5, resolution = 0.1,
+ showvalue = TRUE)
+rp.slider(panel = panel, action = react,
+ variable = ALPHA, title = "alpha",
+ from = -5, to = 5,
+ initval = 0, resolution = 0.02,
+ showvalue = TRUE)
+rp.checkbox(panel = panel,
+ variable = EX, action = react, title = "E(Y)",
+ labels = "Mostrar o valor esperado?")
+rp.checkbox(panel = panel,
+ variable = POIS, action = react, title = "Poisson",
+ labels = "Adicionar a distribução Poisson?")
+rp.do(panel = panel, action = react)</code></pre>
+</div>
+<div id="verossimilhanca-e-estimacao" class="section level2">
+<h2>Verossimilhança e Estimação</h2>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Função de log-Verossimilhança da Poisson Generalizada na
+# parametrização de modelo de regressão.
+
+MRDCr::llgcnt</code></pre>
+<pre><code>## function(params, y, X, offset = NULL) {
+## # params: vetor de parâmetros;
+## # params[1]: parâmetro de dispersão (alpha);
+## # params[-1]: parâmetro de locação (lambda);
+## # y: variável resposta (contagem);
+## # X: matriz do modelo linear;
+## # offset: tamanho do domínio onde y foi medido (exposição);
+## #----------------------------------------
+## if (is.null(offset)) {
+## offset <- 1L
+## }
+## alpha <- exp(params[1])
+## eXb <- exp(X %*% params[-1])
+## alpha.eXb <- alpha * eXb
+## alpha.y <- alpha * y
+## # returns the log-likelihood.
+## ll <- -sum(log(pgamma(offset,
+## shape = alpha.y,
+## rate = alpha.eXb) -
+## pgamma(offset,
+## shape = alpha.y + alpha,
+## rate = alpha.eXb)))
+## # Negativo da log-likelihood.
+## return(ll)
+## }
+## <environment: namespace:MRDCr></code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Gerando uma amostra aleatória da Poisson, para teste.
+
+# Offset = 2, lambda = 3.
+y <- rpois(100, lambda = 2 * 3)
+
+L <- list(y = y,
+ offset = rep(2, length(y)),
+ X = cbind(rep(1, length(y))))
+
+start <- c(alpha = 0, lambda = 1)
+parnames(llgcnt) <- names(start)
+
+# Como \alpha foi fixado em 1, essa ll corresponde à Poisson.
+n0 <- mle2(minuslogl = llgcnt,
+ start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+# Para conferir.
+c(coef(n0)["lambda"],
+ coef(glm(y ~ offset(log(L$offset)), family = poisson)))</code></pre>
+<pre><code>## lambda (Intercept)
+## 1.05779 1.05779</code></pre>
+<pre class="r"><code># Estimando o \alpha.
+n1 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+coef(n1)</code></pre>
+<pre><code>## alpha lambda
+## -0.07677751 1.05083459</code></pre>
+<pre class="r"><code># Perfil de verossimilhança dos parâmetros.
+plot(profile(n1))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Covariância.
+V <- cov2cor(vcov(n1))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>dev.off()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+<pre class="r"><code># TODO documentar no pacote.
+fitted.gcnt <- function(lambda, alpha, offset = NULL, ymax = 40) {
+ if (is.null(offset)) {
+ offset <- 1
+ }
+ pars <- cbind(lambda, alpha, offset)
+ y <- 1:ymax
+ py <- apply(pars, MARGIN = 1,
+ FUN = function(p) {
+ sum(pgamma(p[3],
+ shape = p[2] * y,
+ rate = p[2] * p[1]))
+ # sum(y * dgcnt(y = y, lambda = p[1], alpha = p[2]))
+ })
+ names(py) <- NULL
+ return(py)
+}
+
+mean(y)</code></pre>
+<pre><code>## [1] 5.76</code></pre>
+<pre class="r"><code>fitted.gcnt(lambda = exp(coef(n1)[2]),
+ alpha = exp(coef(n1)[1]),
+ offset = 2)</code></pre>
+<pre><code>## [1] 5.759969</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# A média da Gamma-Count.
+
+y <- rpois(100, lambda = 5)
+L <- list(y = y, X = cbind(rep(1, length(y))))
+start <- c(alpha = 0, lambda = 1)
+parnames(llgcnt) <- names(start)
+n1 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+c(mean(y),
+ exp(coef(n1)[2]),
+ fitted.gcnt(lambda = exp(coef(n1)[2]), alpha = exp(coef(n1)[1])))</code></pre>
+<pre><code>## lambda
+## 4.880000 4.940317 4.880021</code></pre>
+<pre class="r"><code>y <- rpois(500, lambda = 50)
+L <- list(y = y, X = cbind(rep(1, length(y))))
+start <- c(alpha = 0, lambda = 1)
+parnames(llgcnt) <- names(start)
+n1 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+c(mean(y),
+ exp(coef(n1)[2]),
+ fitted.gcnt(lambda = exp(coef(n1)[2]),
+ alpha = exp(coef(n1)[1]), ymax = 100))</code></pre>
+<pre><code>## lambda
+## 49.98200 49.97672 49.98202</code></pre>
+</div>
+<div id="numero-de-vagens-produzidas-em-soja" class="section level2">
+<h2>Número de Vagens Produzidas em Soja</h2>
+<p>Resultados de um experimento fatorial (3 x 5), em delineamento de blocos casualizados, que estudou a influência de níveis de potássio na adubação de soja em combinação com irrigação em casa de vegetação. As variáveis de contagem registradas nesse experimento foram o número de vagens viáveis (e não viáveis) e o número total de sementes por parcela com duas plantas de soja.</p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Carregando e explorando os dados.
+
+data(soja, package = "MRDCr")
+str(soja)</code></pre>
+<pre><code>## 'data.frame': 75 obs. of 5 variables:
+## $ K : int 0 30 60 120 180 0 30 60 120 180 ...
+## $ umid: Factor w/ 3 levels "37,5","50","62,5": 1 1 1 1 1 2 2 2 2 2 ...
+## $ bloc: Factor w/ 5 levels "I","II","III",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ ngra: int 136 159 156 171 190 140 193 200 208 237 ...
+## $ nvag: int 56 62 66 68 82 63 86 94 86 97 ...</code></pre>
+<pre class="r"><code># help(soja, package = "MRDCr", help_type = "html")
+
+# A observação 74 é um outlier.
+soja <- soja[-74, ]
+
+xyplot(nvag ~ K | umid, data = soja, layout = c(NA, 1),
+ type = c("p", "smooth"),
+ ylab = "Número de vagens por parcela",
+ xlab = expression("Dose de potássio aplicada"~(mg ~ dm^{3})),
+ strip = strip.custom(strip.names = TRUE, var.name = "Umidade"))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>soja <- transform(soja, K = factor(K))
+
+#-----------------------------------------------------------------------
+# Modelo Poisson.
+
+m0 <- glm(nvag ~ bloc + umid * K, data = soja, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+# Diagnóstico.
+par(mfrow = c(2, 2))
+plot(m0); layout(1)</code></pre>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAJYCAIAAAAxBA+LAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nOzdeTxU6/8A8GfGGPueJfuWJUuiiJRQElpEaVUqlBKuSguprhZJe1Iq1a1QtO+rSCmDlDX7vmdfZsbM+f1x7nd+c22JYWSe9+u+7ss5c85zPuc0Zz7nPOc5z4NBEARAEARBEKvCMjsACIIgCGImmAghCIIglgYTIQRBEMTSYCKEIAiCWBpMhBAEQRBLg4kQgiAIYmkwEUIQBEEsDSZCCIIgiKXBRAhBEASxNJgIIQiCIJYGEyEEQRDE0mAihCAIglgaTIQQBEEQS4OJEIIgCGJpMBFCEARBLA0mQgiCIIilwUQIQRAEsTSYCCEIgiCWBhMhBEEQxNJgIoQgCIJYGkyEEARBEEuDiRCCIAhiaTARQhAEQSwNJkIIgiCIpcFECEEQBLE0mAghCIIglgYTIQRBEMTSYCKEIAiCWBpMhBAEQRBLg4kQgiAIYmkwEUIQBEEsDSZCCIIgiKXBRAhBEASxNJgIIQiCIJYGEyEEQRDE0mAihCAIglgaTIQQBEEQS4OJEIIgCGJpMBFCEARBLA0mQgiCIIilwUQIQRAEsTSYCCEIgiCWBhMhBEEQxNJgIoQgCIJYGkyEEARBEEuDiRCCIAhiaTARQhAEQSwNJsJRh0QiJSYmHj16NCcnZ9CFtLe3x8bGHjhwoK6ujoGxjQYMOT4QCyKTyRQKpauri0KhMDuWXozhc3b0g4lwQF6/fm1jY4PBYERFRW1tbTds2GBgYKCiohIUFIQgCGO3lZiYGBIS4uPjU1paOuhCXr9+fezYMX9//8bGRgbG1qvIyEg7OzsMBiMiImJsbDxnzhxtbW1BQUEZGZlel+/s7CSTyX1N/hJDjg/Egv7555/Zs2ezs7O7uLh0+yg5OdnZ2RmHw9nb2z958oQp4f3ynEUQ5MWLF2vWrLG1tZ07d+7UqVOtra1DQ0O7urr6L3nQK7IQBBqY5uZmAICrqys6SaVS//rrLwBARETEIEp7//69hIREfn5+r5/m5+cDAF69ejX4cBHkxYsXAIDc3NyhFDJALS0t9AcHQRASiWRubo702NP379+Li4t//fq118kBYsjxgVhQSkoKBoMBAISFhfX8VFlZuaOjY+SjounnnCUSiStWrDAwMMjJyUHnUKnU2NhYKSkpLS2tgoKCvsoc9IosBd4RDhQfHx8W+/+HC4PBbNq0CQDw+fPnQZQmIyNjY2MjIiLS66f0Gxo0hhQyQLy8vN02x87OvmjRItBjT8vKyqqrq0VFRXudHKCR3DVoLBEUFFy0aJGWltaWLVuSk5O7fSomJsbJycmUwFD9fLG9vb1fv3796tUrFRUVdA4GgzExMfn06VNubq6jo2Nf9b2DXpGlwB+U34BeS9K0trYCALS0tAZRlIKCwoULF/j5+Qe4/M+fP6lUKm2SRCI1NTUNYrvDp9vBAQBs2bIF9NhTPB4PABAUFOx1EoKGFQaD4ebmjomJ4eDgsLOzq6+v7/YpswLrX15eXkhIiKenJx8fX7ePZGRkNm3a9OHDh7t37zJwRVYDE+Egkcnkv//+e+bMmStWrKDNOXbs2KZNm1xdXU1NTT9+/IjOj4qKWr169caNGy0tLV1dXQEAr169Wr58OVphSCuwqKjIw8PD1NRUT0/P39+fNj80NFRPT2/cuHHt7e0AgNTUVCsrKyEhoTt37qALFBcXu7i4TJgwQVBQcOnSpWgVbk89w6AXHBzMwcEhJiZ25MgRAEBDQ8O2bdtwONzu3bt/uW6vNm7cSKVSu+3pw4cP9+zZAwBQUFCQkJDYtWsX/eSnT5/6Oob9HB8I+l0TJky4evVqcXHxqlWr6K8v6SEIcunSJQ8PDzc3NxMTk507d6In4IcPH1xdXRUUFLKyshwdHQUEBNLT0589e7ZmzRppaemioiILCwseHp4ZM2ZkZWXV1dXNmzePm5t7ypQpqamptMIHeM7S3L9/n0qlamtr9/qppaUlAKDnDe5QVmQ5zK6b/ZOwsbG5urrGxMRs3bp13rx5586da2trQz/q6uqaO3fu/v370cnQ0FB+fv6Kiorv378rKSl1dXUhCEImk1esWIEgSG1t7d69ewHdw4CrV6+am5v//PkTQZD6+vo1a9aA/z0Do1Kp+/fvBwC0tLSgC2dkZAC6hxxz5swpLS1FECQhIYGTkxNtv4MgyKtXr2ib6DWMbpycnISFhUkkEjqZmJjo7Ow8wHXRgyMqKmpgYGBgYKCsrMzOzt7rnv7zzz8AANqTGPrJvo5h/8cHggausLBw5cqV6N87duwAAPj7+9M+nT59Ou1vb29vR0dHKpWKIEhVVZWysrKpqSmFQikrK/Px8QEALFu2zNfXV01NLT8/v7CwEG2As3bt2pSUlJycHGVlZVVV1XXr1iUnJ+fm5qqqqmpqatIKH8g5Sw8tPCUlpdedys3NBQAsWLCg50eDXpHVwET4G9BEmJSUhMfjp02bRssZCILcv38fAJCXl4dOVlZWAgCuXbsWExPDz8//8eNH9IwqLCxEF3j+/DntG9/U1ITH4z98+EArrbCwkP6H/tatW/SJkEQi0SdCWpkIgtja2i5btgz9m/6k6isMel++fAEAREdHo5N79+5Fn64PZF3awUH/plKp9vb2PfcU6TcR9nUMf3l8IGiA6BMhmUw2MTHBYDBPnz5F59AS4Y8fPzAYTGJiIm1F9Iv6+PFj5H9f6ZCQEARBqquriUQigiA3btwAABQXF6PLnzhxAgBAayN25swZAEBTUxMtDFrJfZ2z9Dw8PAAADx486HWn0DNl3bp1XV1dHXQoFMoAV/zlcRvzcMN2qzlmTZkyJTAw0MvLy8/PD61IBAAQCAQAwJ49e7i5uTk5OXl5eW1tbUVERIyMjOTl5Y2MjGRkZMzNzVesWCEvLw8AYGNjoxX45csXEomkrq7e1xa7PbroNiklJRUZGfnu3Ts2NraCgoJeG56Ympr2Gka3/dLV1b148aKdnR2FQqmtrUWfrg9k3Z4BT5s2jUqlYrFY+j3tX1/H8JfHB4IGAYfDRUZG6urqrly5Mjk5WUFBgfbR58+fEQSRkpKizTE1NQUAEAgEa2tr9Cs9a9YsAICYmBi6ADpTWFgYnUTX7TbZ3t6OPiwfyDlLT0NDAwCQnZ29YMGCnp8WFxcDAPT09AIDA9FnDQAAXl7esrKyAa7Y/9ZZAUyEg7F169YXL14EBgaamZlZWFgAABAEAQCEhob2bPeRlJQUFxf37NmzmJiYq1ev3r9/f+HChfQLoNdl9fX1tNOm1/fqkN5eWGxubp4xY4aFhUVwcDAvL+/GjRvz8vJ6LiYkJPTLMNB2sM7OzoWFhZmZmYsXLx74uj15e3v3v0BfO9jzGKIX4788PhD0uyQkJKKiokxNTe3t7RMSEmjz0XZwtbW10tLS6Bw0V9G+gQAAdnb2fkru5+J1gOcsPUNDQwwGEx4e7u3t3fPKkkAg8PDwrFy5sra2Fv05AgDw8fEJCAgMcMX+t84KYGOZ34DeRAMAsFhseHi4qKjo6tWrq6qqwP8u2Z49e9ZtlYSEhPLy8tmzZwcHB+fl5U2YMKGgoKDbMmi70wcPHtDmoE8BadCmlbRmopmZmbSPoqOjv3375ufnx8vLC/53Avc0kDAAAMuXL+fn57906dK7d+/Mzc1/a13awRmIbi220cm+juEvjw8EDVDPb+mMGTOCgoJSUlLQRs6oSZMmAQBiY2Npc4qLi9G3DoYewwDPWXqampqbNm3Kzs4ODw/v9hHavuzcuXMCAgLKyspT/kdVVXXgKw59p/50MBEOVEtLC5VKpWUjCQmJ8PDwmpqa1atXU6nUxYsXq6mpubi4PHjwoLOzk0gkhoWFVVRUpKWlofX+aAlsbGzovRSRSKT9X1tbe/bs2fv3779//357e/vTp09v375N+xQAgF6WBgUFVVRUxMfHh4WF0T5FrzRv3bpVXV0dFBSUmppKyzGdnZ20xfoKoxseHp41a9aEhIQoKCjQrmEHsi56cBoaGnqWSb+nAAD05L979+7r1687OzvpJ62srHo9hr88PhA0QA0NDT2baHp6etrZ2V2+fPn79+/onGnTps2dOzcoKKioqAgAgCDIqVOntm/fjja/7PaVRnWb2c8yAzxnuzl8+PC8efNcXV2PHDlCW6C6unrBggXu7u5o87FeDXpF1jLiTyX/SDdv3kR//YWEhNzc3GgNOtzd3QEAFhYWNTU1DQ0Nzs7OioqKUlJS9vb29+7dQxDk4cOH06dPnzZt2saNG11dXdEuVG7evIleWi5YsOD58+cIglRXV69atUpMTIyXl3fv3r1oYxATE5ObN28iCEKlUt3d3UVERMaNG+fl5VVdXQ0AmDRp0o0bN9ra2mxsbLi5uS0tLYuLi5cuXSokJHT8+PGbN2/OnDmTtolew+hVRkYGDoerrq6mzfnlurSDM27cOE9PT9rB6XVPm5ubDQ0Nubm53d3dqVRqt8lej+Evjw8EDcTFixdnzJjBz8+/cePGoqIi+o+amppUVFTQps6olpaWrVu36urqbtq0ydfXNzIyEm0sRvtK29jYnD17Fl04LCxs6tSpAIAVK1akpKRcvnzZwMAAAODg4PD+/XsEQe7duwcAsLe3f/PmzQDP2Z7xU6nUmzdvzp8/X1VVVV9ff968eY6Ojn21CGXIiqwDgzC6q0yWQqVSqVQqBoPBYrGj9m1cCIJ+qb29/du3bwYGBsNxIqNvKzKkRyQqlYp2SWpoaLh48WIHB4cBdsw06BVZAUyEEARBf4wbN27w8/MTicR3797du3evrq7O3NxcQ0NDU1PTyclpOFZkBTARQhAE/ZGoVGpiYuLr169bWlr8/f3RJ+7DuuJYBRMhBEEQxNJgq1EIgiCIpcFECEEQBLG0sdOzTG5uLhxPBGKg6dOnGxsbMzuKPwk8ByHGGrFzcOwkwnv37t2+fXvOnDnMDgQaC75//56amgoT4W+B5yDEQCN5Do6dRAgAMDIyovWCDUFDER4e/uLFC2ZH8eeB5yDEKCN5DsJnhBAEQRBLg4kQgiAIYmkwEUIQq0tPT4+MjPzlYEAQNFbBRAhBLKewsHDJkiUbNmwoLS19+PDhpEmTXFxctLW1AwMDmR0aBDEBTIQQxHI2bNhQVFQ0efLkgICAI0eOxMTENDU1NTc3CwoK3r9/n9nRQdBIG1OtRiEIGojExMSEhAQdHZ2Ojo7FixcvWrQIAIDD4dBR6365+p49e3ptzldUVCQmJsb4cCFomMFECEEsZ9y4cYKCggAALi4uMTGxrq4uHO7fn4L09PRfru7k5GRqatpzvq+vb0tLC2NDhaARABMhBLEcDw8PHx+f8+fPCwsLX7t2jTb/zZs3JSUlv1xdWVlZWVm55/wTJ050dHQwMlAIGhHwGSH0275+/Tp9+vTx48fb2Ni0trZ2m2R2dNCveXl5/f3334WFhfQzIyMjHz16FBAQwKyooLHnT/mtgHeE0G+Li4t7+vQpOzv7nDlzIiIiOjo66CednZ1JJNKlS5cSExM5ODgsLCzs7e2HY9RvaNAwGIyKikq3mcuWLVu2bBlT4oHGql/+ViAIcv/+/Q8fPvDz8y9evFhLS4spccJECP02Z2dnLi4uAICuru748ePNzc3pJ8lksomJCScn56pVqzo6Ovz9/V++fBkWFsbsqCEIGmm//K2YN29ec3Pz/Pnz29razM3N9+zZ4+HhMfJxwkQI/Tb0q9zY2Ih+j9nY2Ognw8LCeHh4Xr16hd4FrlmzRltb+/379yYmJkyOG4KgkdX/b8XJkyepVOqnT5/Q+c7Ozvr6+nPnzlVTUxvhOOEzQmgwKBTKiRMnAgMD0W8w/WRCQoKDgwOtLpSPj2/x4sWxsbHMDBeCICbp57ciLi7O2dkZnQ8AUFJSsrKyevv27cgHCRMh9NuoVOr58+c9PT0FBAR6TnJycra3t9MvTyQS2dnZmRPrGJKcnHznzh1mRwFBv6H/3woqlUp7bweFxWIRBBn5OGEi/GOUlZUtXLhQT09v3rx5bW1t3SbRZdra2r5//15UVDSsXyYvLy9/f38tLS1paWkTE5Nuk2ZmZhcvXqS9T1ZQUBAZGWllZTV88bCIa9eu7du3j9lRQNBv6P+3YubMmVevXqX9WJWXlz979szc3Hzk44TPCP8YcXFxV65cERYWnj9//ocPH+rr6+kn586dGxoaumvXLj4+vtbW1okTJ/7zzz8KCgrDEcmpU6dOnTrVbQ795Nu3b7W1tRctWkQikW7fvu3r66ujozMckbCUU6dOUSgUZkcBsbSysrLNmzeXlZWJiYlFR0c3NDTQT/Lw8HRbvv/fChKJFB0dbWxsbGdn19jYGBYW5unpOfIPCAG8I/yDrFixQkREBAAgKipqYGDQbfLx48dHjx799OlTSUlJbW2tjY2Nra0tkUhkSqhhYWERERGioqJKSkofPnzw9PRkShhjDAaDgS/5QcyFXo4TCAQ2NrYPHz50mwQAtLW1+fr6qqioiIuLm5ubJyQk9FMaHo9PSEhwdnYuKioikUh37tzZvXv3SO3Kf7DoHWFzc/O1a9fc3d3Ryezs7BcvXqxevVpYWJi5gfXv8+fP169fr6+vLysrExQUpJ+8cuXKvn370IspNja2nTt33r179+3bt/PmzWNKqNOmTZs2bRpTNv1Hmz59enV1da8fdXV1VVZWwtpRiIlWrFgBAEAQBL3+Rjvqo00CAJydnevr62/duiUpKfnkyZOFCxe+efNm0qRJfRWIw+HWrl27du3akdqDPsJg7ubplZSU3L59e9u2bSOwrUuXLoWHh6OJMDExMTY21sfHZ/S/9G1gYGBgYHDjxg0vL69Xr17RTzY0NCgqKtIvrKioWFlZyaxQocGRkpLavHkzPz8/AODkyZMTJ060sLDo6uoqKip69OjRyZMnmR0gxOr6uRyvra19+/Ztfn4+Wkfq7OxMJBJ9fX0fPXrE7Kh/gQlVo5WVlfb29uPHjzc1NaVvBVdQULB9+3ZGbYVCoZw+fXrixIliYmLGxsbv37+nfZSVlSUrK4u2Y2xqajp58uQfkQVjYmLQP4SEhKZMmdJtcuLEiUlJSbSFyWRySkpKz95DoFFux44dK1assLGxsbGx6erqOn78uI2NzaJFizw9Pa9cuTL6f1CgMc/AwODcuXNLly718vLqNvn9+/fJkyfTPyk0MTHJzMwcxFZqamqoVCrDgv4VJiRCNze3jx8/+vn5rVy5MjIy0t3dnUQiMXwrvr6+ERER58+fR+ug7e3t0VyIIEhCQoKxsTHabPfhw4c8PDzbtm1buHDhjx8/GB4GAxUWFm7YsOH69et1dXUBAQHdJr29vY8cORIZGVlTU5Obm7tmzRo1NbXp06czO2ro90yZMoX2t7KyMn3jchkZmefPnzMjKAj6V/+X4zIyMqWlpfTLFxUViYqK/u5WkpOTr127NpJNw5hQNfr27dtr166hQ6Bt2LDh2bNnTk5OFy5cGODq4eHhiYmJPed//PiRj48P/bulpeX06dO0f4MJEyZwcXF5e3sTCIQXL15YWloCALBYLACAQCCIiYkdPnz44sWL3t7eo/mKu1ulcbfJSZMmxcTE/PXXX2vWrBEXF1+xYoWvr+/ov82F+qGnp5eUlDR16lQAAJlMDggIQKtMIYhZ0OvvmTNnIgiyZMkSPz+/gwcPmpuba2pqBgQEoKnr8OHDO3fuxGAwRUVF3t7ee/bs+d2tKCkpqaqqjuRbs0xIhHx8fOLi4rTJefPmaWpqbtu2bfbs2QNZffz48d0ehqHi4uLq6urQvzMyMiZMmEB/JWJmZoY+j71y5QqJROrs7MzJyVm9ejUOhzMyMgIAWFlZhYSEDGG3mM/Y2PjLly/MjgJimHXr1i1btqyyspKPjy89Pb2lpSUyMpLZQUEsjXb9ffbsWUtLS3t7exUVlUePHlVVVTk6OrKxsd29e3fNmjWhoaGCgoLl5eXopflASkYQ5OnTp+3t7UuWLEHb4IwoZMT5+vpaW1uXlpbSz2xsbFy4cOFQ4rGystLW1kb/Li4uFhUVpVAotE9TU1NlZWVpk+Xl5fr6+giChISE7N69G0GQ9+/fb9myZdBbZ7jGxkZmh8DSrly54uDgwOwoEDKZ/OrVq8DAwCtXrpSUlDA7nF+gPwehMSw7O1tMTIz2hSQSiQYGBpcuXUInqVRqTk5OfHx8U1PTwMvs6uqKi4trbW2lzRnJc5AJzwj9/f3d3d27Pe0QEBCIiorasGEDQzYhKyuroqLi5+eH3qr//PnT09PTxcUF/bS4uDgsLCw3N/fu3btr165tamoKDw9PSEjYv38/Q7Y+FGQy2dfXV0BAQEpKSlBQ0N/fv6uri9lBQUyDw+Fmz569Y8cOJycnGRmZmzdvMjsiCAJxcXEWFhYyMjLoJB6P37x5M+25EjrIl7Gx8UBq8olE4osXL2pqatjY2GbMmNHzlfyRwYSqURwON3fu3J7zOTg4GDhYz40bNxwcHK5fv66oqPj161d7e3sfHx/0Izk5OX9/f39/f3Ty7NmzjNro0Pn5+cXFxX358kVVVTU7O9vJyamrq+vgwYODKKqjoyMxMbGpqUlTU7PX8cSh0YlIJG7evNnPzy8hISEuLo42n0KhxMbGrly5komxQRAAoLOzk5OTk34OHo8nk8mDKCotLa2trQ3tepSJRtF7hIwlLy+fmJiYkZFRV1enpKREu3gZzRAECQ0NTUlJQR+CqqmpRUREaGho7N27l4OD47eKQnM/Dw+PkJBQenq6o6NjcHAwbDvzR8BgMJycnFgstrOzMykpafr06WjDLgqF0q2HYggaMXfu3Ll27VpdXZ2Kisr8+fOPHj3a2NhIe6H+2rVrZmZmAy+ts7OzqqpKXl5eX19fX19/2KIeqLF8XmEwGE1NTWZH8Rtqa2spFAp9UyB5eXk8Hl9XVyclJTXwcjo6Ouzs7Pbt27d69WoAQENDg6Wl5YULFzZu3Mj4oJmnra2Ng4Nj7OUGPB6P1lJYWFioqqrSvwMDR5+ARkxra+vZs2c/ffokIiLCxsYWGxvr5+c3YcKE169fu7q6LliwYNq0aRs2bODg4Hjw4AGZTB74gLoIgoSEhKirq8vLyw/nHvwG2NfoKCIqKsrOzl5QUECbU1RURCaTf/dFnK9fv/Lz86NZEAAgJCQUEBBw5coVRsbKVE+fPlVWVhYVFeXj43NwcBirHehIS0ujWbC+vv7GjRvZ2dlLliwZ1i2WlJQcO3ZsWDcB/RF+/vypra2dlJS0ePFiJSWly5cv29jYODo6Ghoa+vn5HTp0qKSk5OjRoz9+/ECXefPmzUCGWuvq6kIQBIPBuLq6Mqv3x17BRDiKYDAYd3f3VatW5eTkAACysrKWL1/u4eGBx+N/q5zKykoJCQn6OWJiYg0NDYyMlXk+fvy4fv36c+fOtba2VlRUCAkJOTg4jMlhGRwdHQ8fPgwAsLW13bdvn6en55MnTxhS8sj07gT9cRAEuXPnjpeXl4WFxYQJE2JiYtasWWNubq6mpnbt2jX0dwkAsGjRIgKBsGDBgosXL16/ft3NzW0gFTMlJSWnTp0qKioCADCrUUxfxlq10p8Obek6depUKpWKxWK9vLz8/Px+txAdHZ3k5OSmpibaI+gXL1700+/tn+X06dN79+5F21sJCQmFhIRoaWnFxcWZmpoyOzQG4+Tk3LVrV3l5eXx8fFpampaWlpubm7W19dBLdnNz+/z5s5+fHx6Pj4yMjIuLCw4OHvj11ufPn9PS0nrOLykpGVyLCWg0QBBk0aJFhYWFq1atqq2tLS8vd3NzCwkJGTduXEtLy6xZsxITE1VVVQEADQ0NtN5LBo6Dg8Pe3l5OTm4YYh8qmAhHFxwOFxAQsH///srKyvHjx7OxsQ2iEEVFRQcHB2tra39/f0lJycePH584caL/8VD+ID9+/Ni6dSttEovFamtrFxYWjr1EiPY78fDhQyUlJS0tLQwGw6jmTkPs3enjx4+fPn3qOb++vv53W3VBo0dUVFRZWRmBQMDj8a9fv163bt3u3bvfvn07a9Ysfn7+7OxsBwcHAEBHR8eOHTsG3nr5+/fvP378sLOzo+9HZbSBiXA0YmNjk5aW7n8ZEomUk5MjIyPTay8Mp06dOnfunK+vb1NTk5aWVnx8vJKS0vAEO9KUlZUzMzPR/oAAAAiCZGVlrVu3jrlRDQcymezq6vrw4UMXFxcMBlNdXZ2dnc2QkofYu5OXlxfa4XI31tbWZWVlDIkQGnlxcXErV65EKwbmzp176dKlZcuWvXz50szMbM+ePY6OjkFBQbdv305OTtbT0/v7778HWGxOTg46QtNoBhPhH+nQoUPHjh3j5+dHW4SePXu2W4MaLBbr7u5OG3BxLHF1dV21apWampqxsTF6ccrFxTX2bgcBAAEBAZGRkUZGRitWrMjJyYmMjERHgxs6JyengwcPhoaG0q63ZGRkAgMDB9gbFjQmYbFY2oAPHh4eb968CQ0NRauXXr58eevWLRERkdLS0n379mlpafVfFHp5Ki4uLiIiYm9vP/yxDxVsLPPnOX/+fEREBIFAKCoqqqqq4ufnZ6mXrM3NzU+fPr169Wo+Pj5hYeHq6uq7d++OvZcoAAA4HG7hwoVmZmbs7Oyqqqp79+5lVNdLI9C7E/THmTlzZkREBDoWEA6Hu379Ohsbm4GBwZw5c75//7506VJzc/O1a9f+MgsCANLS0mJjYxEEGf6oGWMM/nz8EZ48eXLixIni4mIZGZnNmzfb2dkNfN3w8PDTp0+jrxtycXGdP39eXl4+PT39z3ppciiWLFmyZMmSyspKQUFBLi4uZoczXO7du7d8+fKFCxdGRUUBAKKjo/n4+NCxU4ZoZHp3gv4UCILExcU1Nzfz8/Pr6enZ29tTKJTw8PB169YFBgb+VjkNDQ3CwsI6Ojo6OjrDFzDDwTtCJoiOjnZxcXF0dHz06JGLiz6tNNMAACAASURBVMu2bdsuX7488NULCwvpH/jhcDg5Obmx+i5dP8aPHz+GsyAA4NKlS58/f6b9oNjb20dHRzM3JGjsaWlpmTFjxoYNGxISEjo7O2tra4uLiykUyu3bt38rCwIAIiMjHzx4MExxDit4R8gEu3fvvnHjBvpYS01NTU1Nzdzc3NHRcSBvpAIAJk6cSCAQZGVl0cnm5uasrKwJEyYMY8QQM5iYmEyaNOnevXvoJJlMfvnyJXNDgsaeXbt2ycnJxcbGos8Xzp07d/Hixa9fvw6iibKBgcHofDvil+Ad4UhrbW0tLi6eMWMGbY6Ojg4ejy8pKRlgCTt27Ni6devTp09JJFJGRsaSJUvs7OxGT2dFEKPw8vJSKBQikQgAIJPJnp6e3fpJgKChiIiImDhx4rlz516+fOnn59fe3g4A2Lx5c0NDQ0ZGxgALaWpqunLlSnp6OgBAUVFxcG98MR1MhCONh4eHi4urpqaGNqe9vb25uXngY1FaW1sHBwdv376dh4dn9uzZkydPPnXq1PAECzHTzJkzDQwMoqOjDQ0NBQUFL1y4EBAQwOygoDHi0aNH27dvP3bsmICAQHR0dHJyMu2VGEFBwZaWlgGW09LSoqampq6uPmyRjgRYNTrSMBiMra2tp6fn9evXOTk5yWSyu7u7hYWFiIjIwAtxcHBAX26FxjBeXt7z589/+vQpPT195syZS5cu1dPTY3ZQ0BgRFBR0+vRpKysrPT293NzcO3fuyMvL79mzp7GxsaioSENDo//Va2pqvn//bm5uLi0t/cuXnkc/mAiZ4PTp06tWrZowYYKqqmpubq6amtqtW7eYHRQ06ujo6FhbW8PBeKHhkJmZOXXqVADAsWPHzMzMKioqxo8ff/LkyaioqODg4F+OqfvixQsVFZURiXQk/DoR1tfXP3v2bMqUKWpqaiMQECvg4+N78OBBTk5Odna2srLyLy++INa0c+dOYWFh+jmBgYG08aUhaCgUFBTy8/NlZGQmT55MIBACAwPz8vJycnJu3bplYmLS11q1tbXs7OyCgoK0wW3Ghj4ToaOjo7q6+q5du2xtbSsqKpSVld3d3RnS4S+EUlVVRXuwhaBeVVVVXb16NTo6Gn1ntKurKzY2FiZCiCGcnJy2bt364MEDBQUFSUlJMplsZmbW//AmRUVFUVFR9vb2A2/Q8KfoMxEOX8/3EAQNREZGhrq6uqysLNqQvaura0x2oAMxhZubW2Njo66uroCAwM+fP+fNm3fjxo3+V5GUlHRzcxvEuBOjX5/n1fD1fA9BNC9evNixY0dmZqawsPD69ev37t3LycnZz/JtbW0HDx6Mjo5GOxM/cOAArfftscfZ2XnhwoX04znAEeohBtq9e/e2bdv66bsfFR8fTyAQvLy88Hj8746N+qfo8/UJtOf7AwcOrFy5krE930MQKi4uzsnJ6cCBAxUVFe/evfv+/fvGjRv7WR5BkFWrVqWmpkZERKSmpi5ZsmT+/PnJyckjFvAIW7p0abdRjYZ7hHqI1eDxeC0trf6rOgUEBMbk6C70+rwjHL6e7/sRHh7u5OQ03FuBRonAwMAjR44sXLgQACAqKhoVFaWoqJiVldXXO0mZmZmfP3/Oy8vj5uYGALi6unZ2du7du5dR47ZDEOvo7OzEYDB9jR9JoVBiY2MlJCQ0NDS0tbVHOLaR12cixOFwq1atQv9WVVX19/dnSDNuEolUUFDQ60dkMjkmJuaXibC0tDQnJ6fn/Lq6OgqFMvQIoRFDa8CN4ubm1tLS+vHjRz+JUFdXF82CKBMTk3Pnzg17oBA0JkRGRgYGBhYWFpLJZDKZzMbGpq+vf+bMmZ6prqKior6+Xl9fnylxjrz/JEJvb++2trZel0NbrA19uB8ikaivrz/wbgt6OnPmzNu3b3vOz8vLG5NPcccwWVnZgoICWtqjUqmFhYXjx4/va3k5ObnCwkL6OQUFBf0s301zc/ObN28aGxvV1dWnTZs26LBHUktLS2Njo4yMDAAAQRD4nB4atEuXLgUFBe3Zs8fLy2v16tXPnj3bvXt3Y2OjjY1NWlqakJAQAIBEIn379k1PT09GRgb91rGI/zwjTEtLI5PJnH1gSIs1Pj6+tWvX5uXlIT2QSKSBjAt69OhRQm+mT5/e7aUraJRbv369j48PmttIJNKuXbskJSWnTJnS1/KTJ0/G4XABAQHorX9OTo6Pj88ABx+Oi4tTUVE5ffp0bGzs0qVL58+fj467Nprdu3dPVFR027Zt6GR0dHS3EQQhaOD8/PyioqIqKyvt7e3PnDlz+/ZtHx8fDw8PIyOjq1evosvcvn27qKiImVEyyX9ym5OTUz/3fIxqsbZ58+b4+Hj6gYRQ7OzsNjY2DNkE9EdwdHSsqqqaNGmSnJxceXn5lClToqKisNg+G3Cxs7Pfvn3b0dHx1KlTYmJiZWVlu3fvHsj4152dncuXLz99+vTSpUvRyUWLFu3fv//gwYOM3B9GQ4dhevr0KTppb2/v7OzMkPEIIVZTW1vb0tLCwcGRk5ODdtSnq6tLIpFqa2t1dHQKCwtJJBIej3dwcBjgGDhjzH8SYf81n1JSUgzZpKqqal/VWQP5UYPGkh07dmzcuLGwsFBYWHggVTGqqqqJiYklJSVNTU2Kioq8vLwD2cq3b9+EhITQLAgA4OTk3Ldv35o1a0Z5IoTDMEEM8ePHD2dn5/b29tmzZ7e0tBQVFaFDTJBIJAEBgaysLCUlpdTUVAMDA9bMgqCfxjJNTU23bt3Kzc1Fx+ZAEOTjx4/fv39nyFZ/2ZEdxDr4+fknTZoEACgrK9u2bdvz58+JRKKBgcHRo0d7fVaPwWB+d8yzpqYmAQEB+jkCAgIdHR1DCXsEwGGYoKFrb29fuHDhihUrFBQUKBTKokWLli5d6u3tXVFR4ejoePny5bi4uL/++gs9B1lWn9VQ9vb2ISEhP378oFKp48aNS05ONjMzG8nIIJZCIpHmz58vJiaWnZ1dXV29fPlya2vr4uJihhSuo6Pz/ft3+ocfUVFRo79FHFOGYQoPDx/uTUAj6dOnT9zc3H5+fmfPnm1vb3dxcRETEztx4gSBQMBisdHR0Q8ePGDxLAj6uSPMyMjIzc0tLCxMSkpycnKys7ODL9QPEYIg8fHxubm5YmJis2fP5uLiYnZETPbz589z585lZ2cLCQnJyclxcnKeOnUKbRjp6upaUFBw7NixM2fODH1DoqKiO3bsMDU13b59u6ys7LNnz+7cufP58+ehlzysNDU179y58+jRI8YOwzT0V5igP0hRURE6XgIvL29MTExubu7Tp08vXbp07NgxcXFxHR0dZgc4KvSZCI2MjHh4eNTV1YODg9euXTtx4kR7e/vly5ePZHBjSUtLi7W1dUVFxYwZM3JycrZs2fLgwQNW/haWl5dPnTrV1NTU0tKypKTkwIEDurq69K8HTJs27cKFC0PZRFtbW1xcXH19vYGBga+vr46OztWrVysrK/X19b9+/SopKTnknRheQUFBpaWl3t7eW7duBQDU19dHR0cP/Tn60F9hcnFxiY6O7jm/tbVVVFR0CKFBjCcpKRkfH//48eOpU6eKi4tTqdSOjg5NTc25c+cyO7RRpM9EuHTp0o0bN54/f15CQsLIyKitrW2s9jI3Mnbs2CElJfXmzRv0cXRoaKiDg0NmZiYbG9vACyESiQiC9N8b5x+hvb1906ZN8+fPP3/+PNpMlJube8eOHdXV1WgntwCAnJycgb8j2FNcXNzKlSsnTJggICCwY8cOW1vbs2fP/lnNkoODgwkEAm3UU2Fh4dDQ0KEnQvQVJg8Pj54tt8lksrOz8y9LOH36dGBgYM/5Dg4OVVVVQwwPYqA7d+64ubmRSKQNGzYQicSAgIDGxsbIyMiIiAhmhzbK9HyfrxsymRwaGurr65uZmfnLhZnIyspKW1t7uLfS0tJy+/btEydOxMfH/9aKCgoK6enp9HPk5eWTk5MHuDqBQDA0NERf6DQ0NExKSvqtrY8qJ06cEBQUxOPxwsLCurq63759QxDk58+fHBwcmzZtolKpCILExsYKCwsPejebmpokJCTu3LmDTjY0NEyePPnMmTMDL+HKlSsODg6D2zqjzJ07l36SSqXKy8szpOTs7Ozw8PBeP6IdtEEYmXMQGqDs7GxRUdGUlJSamhpXV1dBQUEMBqOpqfnu3TtmhzYgI3kO9tlYhgaHw7m6uv79999wpOxPnz6pqKicPXv269evq1atsrS07OzsHOC6Q2m4WFFRYWVltWLFisbGxqamptWrV1tbW5eVldEWSElJiYmJSUxMRBBk4LvDFPfv3z9+/PiHDx80NDTu37+/cuXKRYsWtba2CgkJqaqqvnnzRlxcXFpaGm3P1s/L9f1LSkqSl5en3TwJCgoeOHDg1q1bjNuPkWBoaJiXl4f+TaVSDx48yKiKR1VV1cWLF/f6EXyFaWyoqKjw8PDg4ODw8fG5dOmSmppaVVXV/v37TU1NZ82axezoRp3eq0YRBJGTk/v58ydtTldXF3pnPVKBjTpkMtnBweHo0aNoF6wkEsnOzm7Xrl2CgoIPHz7s6OiYNm3awYMH+6rN09PTu3fvHq0blPT09Pz8fC0tLXTy1atX4eHhjY2NGhoaPj4+48aNo183Ojp6zpw5W7ZsQSc3bdqUnJwcFha2f//+tra2ZcuWpaamqqmpFRQUSElJRUdH02oXR6GIiIi9e/dqaGiYmZmdOnUqKirq3r17r1694ubmrqqqysvLa2pqam9vV1ZW7ufN+l+qq6vrljNERUWH8lSMKby8vFasWMHDw8PBwUEgEPLz8xnYswx8hWlMKisrO3/+PPosHADAy8trZmb2+fPnxsbGLVu2iIuL//jxg9kxjka9J0IMBmNoaLh8+XIpKSkMBlNbWxseHj6Q/s/GsMzMTA4ODlpH5Hg8fv/+/cbGxubm5kFBQZycnI8fP542bVpKSoqIiEjP1Y8dOzZr1qySkhJTU9OcnJygoKCgoCD0x+j06dPHjx+fNGlSTk5OYmJiSEjIu3fv6Bv35+XldesVV0dHJyUlBQDg7e0tICBQUFCAx+OpVOrOnTudnJxofZGMQiUlJeh46/v377ewsEBr0gIDA/Py8m7evMnHx8eQDmP19PTc3d0bGhrQHhQBAA8ePBj0/SWz8PPz37lzJyoqKikpacmSJStXrlRRUWF2UNDohT4R7OzslJeX7+jocHBwaGpqOnHiRFxcnIuLS3h4+PPnz8fw+J1D0ledaVZWFv1kXV3d6tWrh7medkiG+/lEXFycnp4e/Zxbt27hcDgSiUSb4+bm9tdff/VVQn5+/qZNmwwNDR0cHGjV9PX19YKCgra2tmZmZi9fvvz06ZOpqSkXF1dZWRltxTNnzqxcuZK+qPXr1x84cABBEBERkdLSUtp8EonEz89fUVExpF3tW35+voODg5qa2tSpU48fP15ZWZmRkUEmkwdewrp16/bv34/+TaVS7927JyIi4uXlVV1dzdhQ3dzcdHV1o6Oj4+LivL290S7ZPnz4YGZmJiYmNmHChD179rS2tva1+mh4RthTYGAghUJhdhR9gs8ImaKwsHD79u0qKiro8Ok8PDxmZmb79+93cnKSk5PT1NR0cHD466+/1NXVNTU129vbmR3vQI3kOfjrxjKojo4OERGRYQ1liIb7JGxububn58/NzaXNsbGx6dZ44eHDh+bm5r9V7Js3b7S1tWVkZNra2tA5mZmZ/Pz8Tk5OtGVqamrGjx9/5syZzs7Ozs7Oc+fOSUhIVFVVEYlEdnb2jo4O+gLl5OQyMjJ+e/cGoKioSFxc/ODBg58+fbp27ZqQkBAej5eRkRETE7tw4cIAC0lPTxcSEjpz5kxpaWlubq6dnd3cuXOH48e9q6vrwoULFhYWhoaGrq6uRUVFSUlJwsLCFy5cKC8vJxAIlpaWixcv7mv10ZAIs7Ozly9frqOjo6GhoaGhoaqqysnJiTYmGp1gIhxhWVlZenp6GAwGi8WysbGJiYlJS0uvXbtWWlra3Nz8zZs3kydPnjdvnoCAgJiYmI6Ozs+fP5kd8m8YyXOwz2eEvr6+tOH9Wlpa4uLiRvOTpxHAx8e3f/9+MzOzHTt2KCgovHjx4v379wYGBvTLVFdX0+riBoibm7uxsXHatGm0Yfba2tr4+fnT0tJoy4iKij5+/HjLli3bt28HAOjo6Dx69Aj951BTU4uNjaV1xJyZmdnY2IjWPQ5dQUHB3bt3m5qatLS07OzsDh065Orqunv3bhKJ5Obmtm7dusjIyPv376O9pYuLi6ND7PZPQ0PjxYsXe/bs8fHxERYWXrZsmZ+fX7fHgW1tbTdu3EhPT1dUVFy9enW3J6b9S0tLS01NlZWVnTlzpouLi4uLC+0jHx+fPXv2oHMkJSVjYmJUVVU/f/7c7R9x9Fi5ciUfH5+Hh8cAu1SFWASRSPz27VtUVBTaEFpCQqKhocHFxSU0NHT79u2JiYleXl7bt293dXWlUqnq6urS0tKPHj0KDQ393V8n1tHnM8K3b9/y8/NLSEigt9sWFhbr168f4eBGG09PT3V19evXrz958kRNTS0uLs7S0vLt27do53Pl5eWHDx/+3Z5QJk2a1NbWRuu1h0KhHD58WF9fv7GxkX4xXV3djx8/9nyPMCgoyMnJKSAgQFtbOy8vz9fXNzg4mCEvGt6/f3/Dhg2LFy+WlJQMCgo6duwYgiDHjh0DAHz9+pVIJB47dqysrCwtLc3JySk4OPjkyZO/TITZ2dkVFRUKCgr9dB5dVFRkYmJiaGg4adKkjIwMdXX10NDQmJiY+Ph4DAYza9asQ4cO0V6to9fZ2bls2bJv375Nnjy5rKyspaXl7t27aJ8aqMzMTC8vL9okNze3vr7+jx8/Rm0iLC0tLSoqgj0QQTTp6enu7u5xcXHofQw7OzuCIAYGBh8+fJCUlGRjY/vx40diYqKoqCgGg1m1apWQkFBISAg7O7u/v/+o/Z6PCn3dKl64cKGrq2sE7kkZhSnVMm/fvpWTk5s6deqMGTNERUWPHz8+iEKePn2KxWL19fXXrVunrq5uZmamoaFx8+bNAa4eFxc3Z84cFRUVKyurFy9eDCKAnhoaGkRFRQkEAjpJpVLt7e2VlZVv376NIEhUVNT8+fMRBJk1a9bdu3cRBElJSVFVVe2nwMrKylmzZklISMycOVNISGjJkiW0quBurKysgoKCaJPXrl3D4XDbt2/Pz8/Pzc318PBQVlZuamrquaK3t7e1tTWtovjo0aOampr0la7W1tYRERH0q+jo6Lx8+bLXMEZD1aiLi0tOTg79nDdv3jArmIGAVaPDpKKi4vz58xoaGlgslpOTE4/HY7HYadOmSUpKSkhISEpK7tixw9jYeNmyZZycnLKysmjbdQwGo6amdujQofz8fGbvwWCMxmeECIL4+/sPWxgMwKyTsKOjIy4u7tmzZ3V1dYMu5NmzZ8LCwtLS0pqamsLCwn5+fgyMcBBevnxpbGxMP+fDhw/S0tI6Ojp1dXXfvn2TlZW9deuWnJxcc3MzgiAhISE2Njb9FGhpablx40b0jra5uXn+/PmbNm3quRiVSuXn56+pqaHNOXXqFCcnJ33Trfnz5584caLnuioqKikpKfRFycvL08+5ffu2srIymlrIZPKBAwcmTpzY7QkrzWhIhBcvXrS0tAwLCwsPDw8PDw8LC+v2jzLawETIcEQi0cnJiZ2dHX0KCAAQExPj5uZmZ2cXFBScMmUKHo+Xk5PT19fH4/HOzs7Tp0/n5OQcN27crFmzhvKLNBow7Rnh9OnTq6ure71x7Orqqqys3Ldv3/Dfo/5hODk5Z8yYMcRCLC0ti4uLP3/+3Nraqq2traCgwJDYBq2rqwuH+893A4/H8/HxzZ07V1VVVVNTs7Gx0dnZ+ebNm2xsbFFRUXv37u3nnY3W1tbY2NiGhga0lz4+Pr6QkBA1NbWzZ892ezqIfikxGExbW9utW7cKCwvj4+PxeDxC11HArFmzcnJyem6lvr6e/t1BDAYjIiJC/+7gkiVL8vPzp06dKi0tXVNTo6SkdPfu3dHcX11YWFhtbW1YWBjaBWtXV1evOw6NVa2trQYGBrm5uaKiolxcXOXl5dzc3EQicfr06W/evFm3bh0ejy8sLMRgMDk5OWQyOSwsDM2Xa9asOXLkSLdTGOrHf46UlJTU5s2b0ZfbTp48OXHiRAsLi66urqKiokePHp08eZJJQbIEXl5ec3PzfhZob28/ceLEo0ePSCTSnDlz0MYmwxSMnp7et2/fCgsLaSn56tWrpqamR44ccXZ2Tk9PBwA8fvx4w4YNaFOaGzduTJ06ta/S0DZE9ClHUlKyo6Ojs7OT1kQIhcVijY2NT5w4ce3aNS0tLSMjo9LS0paWloaGBtoyhYWFvbbb0tPTe/r0Ka11DFqVSuuyALVz584tW7YUFBQICAjIysrS9/E9Ctna2tLOR9QoH0kYGjoEQWJjY0+dOpWcnFxVVUWhULBYbFVVlYWFxaJFi44fP25pafn161c8Hp+UlIRe6jU0NCAIwsXF5ebmNm/ePENDQ/hc+bfR3x7Sd+1oYmJC/35YUVHRunXrRuAWddBGYbUMkUhEKwOHrqury8TEZP78+bGxsR8+fHB2dlZVVW1paWFI4b0KCQmRlpb++++/z549u2TJEnV1dfR8GwQKhcLLy0vfV+3z588VFRV7XTg3NxePx2tpaZ05c8bV1ZWPj4+Tk1NSUhJ9beDRo0fCwsL0L7GgmpubCQSCkJBQQEDAx48fDx06JCIiMmfOnIcPHw4u5tFQNdpTQkICs0Pozyg8B/8sz549k5aWxmAwOBwOi8WiTwTHjRuHwWD4+fl1dHSUlJSsra0tLS3xeDwXFxcWi+Xl5WVnZ589e/agT89Ri2lVo/RdbygrK9PfWcvIyDCwe6eR09YGDhwAAgJAQgKIigJRUSAjA8TEADv7sG42Kytr27Ztr1+/BgDMnj07ODiYvvniIDx+/Li9vf3Nmzfoc4Lp06c7ODicPHnS19eXMRH3sGnTJgMDg1u3buXm5s6aNev69euDrkXEYrEHDhxYsGDB4cOHNTU1P378uHv37tDQ0F4XVlRUxOPxoqKifn5+ZDJ54sSJNjY2+/fvl5OTY2Njo1KpN2/eVFZWpi0fEhLy999/t7S0UKnU+fPnf/v27cqVK2VlZSYmJpqamnv27Ll8+XJMTMxvjfIxSjQ1NaHHv729HQCAIMjHjx+/f//O7LigYbF3796jR4/y8fGpqamVlJSg9SW6urrx8fHCwsIKCgpZWVnCwsI8PDyxsbEkEgmLxYqKipqYmOzevRuOrDtEfVYi6+npJSUlofVdZDI5ICDgj+ycEIcD48eD4mLw/TsoKwNVVaCyErS3A3FxMH48kJIC48cDSUkgJQUkJYGcHJCSAkN+1aa2tnbOnDlbt25Fx2w7d+7c7NmzU1NTh9Jj8tevX01NTel/za2trR89ejTEUPunq6urq6vLkKI8PT3Hjx9//PjxgoICDQ2Nf/75Z86cOb0uiSBIZ2dne3v7kydPFBUVX7165e3tLSwsfOLECQUFBS0tLXa6i5irV68GBwffvXvX0NCwoqJiy5YtnZ2dzc3N379/R3sjo1AolpaWJ0+e9Pb2ZsiOjCR7e/uqqio5OTlJSUkxMbHnz5+jL+pAYw+BQAgNDeXg4BAQEJg2bZqRkdHNmzcnTZr05csX9I6Qk5MTi8WWl5fHxMTgcLhdu3bt27cPDo3HKH0mwnXr1i1btqyyspKPjy89Pb2lpSUyMpJRW6VSqV++fCkqKkI7GBMVFZ06deqwvOzJwQE8PbvPbGsDFRWguhpUV4PKSlBTAz59AhUVoLQUlJYCCgXIygIpKSAtDWRkgJQUkJUF8vJAXh7894FWX6KiooyMjHbs2IFObtu2LS0t7eLFi3v27Bn0foiKiiYlJdHPqa6uFhQUHHSBqPb29oiIiPz8fElJSQcHh+EbVRWDwSxbtmzZsmW/XLK+vh5BEBsbG7RTxNWrV6elpZ05c2bRokU97+rOnz9/5swZQ0NDAICkpOSNGzfExcUNDAxofXKysbFt3bo1ODjY29ubSqWmp6f//PlTRUVl9I/KCwDIyMjIzc0tLCxMSkpycnKys7OjvW8KjTHv37+XlZUtKChobW1tbW3l5eXFYrFCQkKdnZ3s7Ozm5uYCAgIEAkFFRcXZ2Xn9+vXdhrKBhqjPRMjBwXHnzp3Y2NiUlJQVK1bMnj1bRkaGIZtMTU21tbWtra1VVFTk4+NjZ2dvaWmprq42MTEJCwvj4eFhyFb6w8MDJkwAEyb0/mlzMygrA6WloLwclJaC5GRw7x4oLgbFxYCPD8jJATk5ICPzb45UUgJKSt1uInNycrr174wOiT6UkC0tLffu3UvrBqWgoODEiRNRUVH9r/Xt27eUlBReXl5TU9OeXYGXlZUZGRmpq6sbGxt/+PDB39//yZMn06ZNG0qcQ5eZmamhoXHy5MmMjAwjI6P09PSIiAg8Ht9r3Wa37si5ubklJCRIJBL9Mng8Hm3whV7YycnJpaWlrV69+vTp00MZ4GIEGBkZ8fDwqKurBwcHr127duLEifb29suXL2d2XBCDJSQk7N27l0wmd3V1qaioPHjwgIODQ0xM7OvXr6qqqpWVlc+fPxcQENi0adPx48eZHezY1F/7WhwON3v27NmzZ6OTN2/eXLly5dA36ePjExISMmfOHPo6LgRBEhMT/f390b5LmImfH0ycCCZO7OWjysp/M2JREcjOBk+egJISUFoKeHiAoiKQlwcKCkBe3pxIJHz+DDo6wP/abmVlZQ3xMkJRUfHMmTNWVlZaWlocHByfP3/esGEDlUqtqqqSkJDodRUPD4/bt28bGBi0tbVt2bKlZ22kh4fH2rVrDxw4gE5GRUWtWbMmKyuLuelBRkampqYmDxAC5QAAIABJREFUIyPj8uXLiYmJyvLyN06ePBsQAAgEUFMDmptBczNobATNzaCh4TIOx7ZiBZCQACQSaGujEIl3CgsxRUXkSZPY2dlBczOgUCbX1DzE4TrU1J5xcwsJCYHycoqoaO7Vq3UPH4qJif271dBQMPrGpli6dOnGjRvPnz8vISFhZGTU1tYGq8LGnrt3765cuVJAQIBIJOrp6cXGxsrIyJSUlBCJRGdn5+Li4h8/fnBxcS1btiwoKIjZwY5Z3RMhkUjcvHmzn59fQkJCXFwcbT6FQomNjWVIIpw8ebKVlVW3mejATwN56OXh4fH48eOe86uqqkJCQkpLS9EOrL9//y4sLKyiokKhUAgEAgcHh46ODgDg69evJBJJT0+PjY0tJyenoaFBW1ubm5u7pKSkoqJCWVl53LhxdXV1eXl5UlJS3YsSEyOUlHCoquo4OPx/Ubq6bLW1Obm5DSSSdno699ev2iIiIrNm1VpYiObl1VlZZVtbz2xutpSSanv69Dsvr7CwsIqm5iCiQttAdnR0ZGdnk0gkfX39xMTEBQsWbNq0ydbWtltRWVlZHz58ePnyZVtbm7a2NoFAuH79Ojc3t6qqKm0HeXl5N23aRNtBBweHPXv2JCQk8PHxMeBY/dYOioqOa2ioq63NY2OTKikJo1JrFi829fCwa2lROXy4k4trXEjI1+RknehogMV+dXQkiYnpffzINn68mL9/qrBwU1GRmpJSNgZTiMUWT5zIS6Veq66e5+LSWVLyNiKCoqCwZOfO5HfvPGxtKRgMobWVA4MBublbDh3afeIECUH0uLnZNDS6RSUtLS0nJzfU7/rQLF26dOnSpQCAv//++/Lly2VlZY6OjswNCWKIt2/fBgYGEgiElpYWMpmMdmNJJpM/ffpkaGj46dMnBEEwGExnZ6eVldWGDRtmzJgxfO9KQQAADPLfMc1JJNJff/3l4+Pz6tWrc+fOTZ8+Hb0/oFAor1+/zsrKGvomvb29d+3a1bMn5ezs7F27dt27d6//1X/+/NmtH07U+vXrqVTq27dv2djY0AYXOBwOvens7OzEYrHo1TSJRKJSqWgDSLQugpOTE4PBdHV1kclkDg4OLBZLpVKJRCJaHTe4ohISEjzc3cnFxYo4nK6s7BojI0UKBSkp6Wxtxf34wd7eDmRkOidOxMrJ4cXEgJQUSVaWKiHBKScH8Pj+o0IQZNKkSZs3b3ZxcWFnZ6+rq5s3b56bm9vatWvpo1q1atX8+fMFBQXLyspUVFTMzc0dHBxsbW2XLVuGFtXR0aGoqJiRkSEiIkLbQXl5+QcPHqirqw/XseLgACUl5Pz8ruJizpwcTH5+V1kZub6eo7wcKyZGVVQkqqnhxcWb2NhORUXltrd38fF9+vFj1dat7u7u165dS0hIkJSUdHJymjx5Mi2qq1ev+vv7Nzc3c3BwrFy58sCBA4KCgh8/fnz8+HFdXZ2BgcHq1avj4+OPHDny6tUrWlQVFRX6+vplZWV97WBERMTz589v3rw5hG864zGqVmaYWFtbo93PMjuQUe3mzZseHh4dHR04HK6jowM9laSlpdETSlpaWklJKSMjY/Xq1evWrWN2sMwUHh7+4sULBrZN6Uf3REhTVlZWXFw8ffp02pw7d+4sWbJk6JssLS21t7fn5+eXlpbm4eEhkUjNzc2ZmZmlpaWPHj0yNjYeXLGj8CSsqakBAPx//RtNdTUoLAQFBaC2FpSUgPJyUFYGSkpAZSXg4gKSkkBCAsjK/qdFq4ICGD8eAPDlyxcnJ6eMjAxaYS9evNi9e3dycjL9FtBfeVVVVWVl5dTUVCwWq6SkZGxsvHnzZtoyFhYWVlZWnv9rTPTkyRNnZ+eSkhKGdUhBoYDCQpCRAbKyQGYmyMoCWVmAlxeoqABlZaCkBGRlgZzcv42SerzQUlBQUFZWpq2t3dLSMnXqVFtb25kzZ1ZXVx89enTv3r0bN26kLXnp0iUfHx88Ht/U1GRsbHzx4kV5efn/Hu9qVVXVgoIC2mV1eHj4tWvXYmNj+4p9JE/CbvqvlcnNzR35kAZoFJ6Do9D48ePV1NRwOFxnZyc6jgQejycSicbGxhMnTszLy6utrS0sLCQQCEzvYYq5RvIc7PMnT1paGu3jv76+/tmzZ1OmTGFIFgQAyMjIJCYmxsfHJyUlVVdX43A4eXn5xYsXW1tbj0RLmSFrbW09ePBgTExMc3OzlpbWgQMH0FaLPfWSAlHi4kBcHPRslkImg9JSUFX1b4IsKQEEArh3D1RUgOJigMUCBQVZPr5dnZ3g3j2gowMUFAAAUlJS9B2voEpKSpSUlN69ewcAoFKp69evv337Nv3YCwCAs2fPGhsbZ2Rk6Onp5efnX758OSoqajBZsKUFlJSA4uJ/n5iWloKion9bG3FxAU1NoKkJ9PWBkxPQ1gY92uz0RVFRER1PavPmzevWrTt06BA6f86cOUZGRnZ2dmgb15cvX+7bt+/Zs2f6+vpEInHv3r1Lly79+PEj/Y6Ii4uvWbNm3rx5x44dExcXf//+/c6dO0fte7G0tvKdnZ1JSUn0tTIM7DRr5FpuQ//T0NDg6upaXV1dVVWFw+HY2NjQF+QfPnyooaHBxcUVFxeXm5tLoVCOHDnC4llwhPV5Xjk6Oqqrq+/atcvW1hZ9IOTu7m5tbc2QrWIwmJkzZ86cOZMhpY0kBEFWrVpFIpEiIyPFxcUfPXpkY2Pz+vXryZMnM6B0dnagqAh6HU2QSgXl5aCoiO3Ll59+fl3nzuEyMkBHB9DS6qJSvXl5QXIymDQJ4HAAgPr6+paWlrKyMk9Pz8WLF9fX13/79q2zs1NPT4++SBUVlezs7IsXL3748EFBQSE1NbX3p2JEIvjxA+Tn//uqSU0NqKgAzc2gqQk0NoL6etDYCCQkgIwMkJUFMjJATw8sWvTvJCPGsPz8+bOPjw9tUkNDQ1tbOzk5GR2FMSws7MCBA/r6+gAADg6OI0eO6OjoxMbG0hp5oYKDgy9cuODp6VlRUTFlypTnz5/30yccc+Hx+LNnzwIALCwsVFVVu9XKMGQTzG+5zXri4+PnzZuHdvIuLi7Ow8PT0NCQnZ29Zs2aBw8eGBoafvnyBW2qdufOnQULFjA7XtbSZyLk5OTctWtXeXl5fHx8WlqalpaWm5sboxLhnys9PZ1AIOTm5qK9+W3cuLG9vd3f3//hw4fDu2EsFn1nQ3TGjK8ZGTOzs/dduybHyZn2zz8Zt255mZmBVatAaSlQUQHy8lhZ2QXs7HsuXbrw8OHOnTt5eXnXr1/v7u7e1dXV7SUEYWHhnTt3/mdDbW0gNRUkJYGkJPD1K/j5E9TVAWFhoKoKJCT+/U9HBwgJAUFBICAAhISAjAzg4GD4HlOp1Hv37qWlpbW3t2dnZ9O/JtHW1kbr5iY/P19VVZX2EQaDUVdXLy0t7VYaDofbvHkzfc3w6FdbW0ufBQEAjKqVGWLL7ejoaAKB0HN+dnb2KO++lVlu3Lixbt06dnZ2Pj4+BQWFwsLCrq6u1tbWKVOmBAQESEtL//PPPyQSiZubOy0tjemttFhQn4kQ7df44cOHSkpKWlpaaLumEQxslMrMzNTV1aXv0xa9iB7JGEJDQ8+ePevj41NdXW1gYLDv40dBtIOlhgaQl5caE0MIDXVrapKcOzcQg8EoKHCJiWU9fHhUWprj4UPQ3v7vGwhNTf/e0qEPiRsbQUUFqKoCzc3/1mSamwMPD8DPD8TFwYi3WOvs7Jw9e3ZbW9uCBQvExcVXrVrV2NiIdqj9+PHj2tpa2iijqqqqBAKBljDIZHJKSgr9E8Q/1/r168+ePWtoaMjwU2+ILbfxeHyvlajs7OwUCoUxIY4hd+/eXb9+vZSUlIKCQlVVVUFBgYSERG5u7v+xd+fxUK3x48CfsQ1jkH0LKUKRQhtSKi03hdKm0q0UCu17StIt4sbt1m1R2rNrE91UEiIqbUrWEAlZxjLMmPP743y/85uv7SKzMJ/3H15znjlzns+M88xnzjnPeR4TExNzc/PCwsKSkhIhIaEFCxacPn260wHlAbt1mQhpNJqzs/Pdu3c3bNhAIBAqKir4bVSLqqoqf3//1NRUGRmZ5cuXL1myhEAgaGhoFBYWsq5WUFDA4X1XRERk27Zt27Zta/+EtPQHMTGr4OCb4eHltbWL3Nzmm5lVPnmyoqHhW0rK7xYWKCQECQkhSUkkKYmkpNDw4UhKCgkIIBERpKiIhg5FCgr9cjLz1/n5+UlJSSUlJQkICOzatcvMzGzjxo0vX76sqqp6/vx5ZGQk87eIh4fH/Pnzhw8fPmfOnNra2q1bt6qrqw/Es+4dmZiYvHr1KiYmRk9Pb+nSpf14xpJOp1dVVXXac7snPcMXLFjQ6bm7pKSk0tLS/glxUHj9+rWfn19ERASGYV+/fsXvBD1//vzhw4cnTpxIoVDu37+vpKR09+5dY2NjYTYPgAy60WUi9PHxCQ0NNTU1dXBwyMnJCQ0NdXBw4GRk3FVRUWFkZGRnZ7d37976+nofH58XL14EBgbiY28ePXp0z549goKCnz9/3rNnD9cnx8Ew7OHDh9nZ2U+fPnVwcJg1axZCSE1N7fz586/I5Orm5ktZWbIs5w95X1JSkoeHB95JRFxc/PXr12ZmZk1NTTY2NsHBwazf4JMnT7558+aePXtsbW3JZPLy5cvDw8N5fMiYHvLz88NH0SspKblw4UJTU5OlpWVXPbN6ZcuWLfPmzeuq5/avbx+0tLRYW1s/ffpUQEAAwzAhISF5efnKykqEUHJy8qRJk54+fVpZWSksLBwXF8f14ZxAdzPU19fXFxcX44/xSXB4Wf9OAePh4cE6hfqPHz/k5eXfvHmDYdinT5/Gjx8vLy+vp6cnKSnp5+fXX5X2TVNTk4WFhZ6e3ubNm9XU1Egk0v3795nPenl57dixg4vh9c20adNiY2NZS+zt7S9fvtzNS5qamtra2vDHKSkpM2bMUFRU1NbW3rt3b0NDQ28D4IVpmPLz8zEMw++a+P333/Hh1vpr4wwG49mzZ/7+/jt37ty8efPRo0fDwsL68EGxgmmYcBUVFZqamkJCQiQSCZ8p197enkgkKisri4iITJo0iUgkIoSGDx/+77//cjtY3sW1aZhYxcTELF++3MbGBh/QMjIyUkJCAu+nxw9evXp16NAh5qK8vPyMGTNevXo1duxYXV3d9PT0L1++VFVVjRkzRkJCgotxIoS8vb2lpaUfP34sJCQkJyeXnp7++++/f/nyBb+Kk5aWtnDhQu5G2AempqaXL19mXscqKCh4/Pjx8ePHu3kJ82Tphw8f5s+ff/To0atXr37//v3AgQNr1679z3FZeZCnp+fIkSPxd7F06dJ///23Xw4HcQO35zbvW716dUNDw+zZs6WlpRsaGp49e1ZbWzt//vysrKzm5uaXL1+Ki4snJyeb8N6ofnyry0QYHBycnp7+4MEDfNHe3n79+vX8kwiHDBlSV1fHWlJbW0smk/HHBAJBR0dHhzdONuLDNeF3mK1bt+7UqVMSEhL//vuvpaVlQEBAUVFRD8cioVKpN27cyMrK0tDQWLlyZVdDmHLG3r17zczMpk2bZmtr++PHj+Dg4AMHDowYMYJ1naampoyMDCqVOmHCBNa+G76+vnv27MH7y6ioqERFReEdagbc987NmzcnTJiwe/fuZcuWDchJ0PhSZWVlYmKisLDwt2/f6HR6dXV1ZGSku7s7kUhsa2uj0WgkEunLly/cbV+gnS4vpUydOtXQ0LClpQVfpNFo//77L6ei4j5ra+sTJ040NDTgiwkJCW/evOlqCj3uam5uZh4MKSsrx8fH19XVOTo6amtr5+XlPXjwgNSD2aPKy8tHjx794MEDFRWVvLy80aNHP3nyhM2Bd4dMJmdkZDg4OGRlZVGp1Pv377frHBQfH6+jo7N79+6jR4/q6OicOXOG+dSHDx9YxycSExObOHFidnY256LvJ8eOHUtPT9+wYQNkwYHi6tWrGhoaVCq1oaEhPz8/IyNDUFAwLS3t8+fPjx8/Li8vJxKJ4eHhkAV5TZdHhGQyua2tDU+ENBpty5YtfPXP27BhQ0pKira29syZM3/8+PHq1atr165xftzbu3fv/vPPP0VFRXp6euLi4unp6TQabdasWYcOHWLOqGdmZhYaGsq8nYBMJtPp9IKCAlVV1e433tzcfPr06eTkZAEBAfzAkTkTha2t7apVqwoLC7k43YGIiMiGDRvwWybaKSkpcXR0vH79uqmp6bVr11JSUvbt26eqqmpjY4MQwgfvZz2LWFRUxL6pFtlnz549FAqltrYWn7oEwzC4hYmXBQcHu7m5MRgMISGh06dPb968ef369W/fvj18+DA+JK+YmJifn9/cuXO5HSlor8tEaGFhMXHixLq6usTERHxckri4OE5GxjH4aMustwYihAQEBK5du/bmzZu3b99KSEhMmzat43x+7BYUFBQUFOTr66uiouLg4FBRUXHu3Lnx48eHhISYm5u/fv0a71Lo7e1tZGT0/fv33377raSk5NSpU15eXv+ZBel0+owZMyQlJdetW9fW1rZ69WoJCQnmV+2cOXPIZPK7d+9483RiQkLCjBkzRowYoaenN2XKlDFjxuTl5S1dujQpKWnChAnLly/39PQcP3788OHDMQzz9fVtaGiYNm0at6PuNT6/Tj+wPHr0aNOmTaqqqioqKmQyeevWrVu2bDl37hyVSqXT6VZWVtu3b58yZUpPTs8ALuimI01BQUFQUND69et37dqVmZlZWFjIy31H+9BjLTc3d/bs2aKioqKiogYGBgkJCWyKrQ9aW1vFxcVzc3MxDAsNDbWwsAgLCzM0NMSfdXR0PHToEHPlmpoaHx8fBweHjRs3JiUl9WT7ly9fnjJlCrObpYKCgr6+flhYGHMFHR2djIyM/no7/WvVqlX4fFIzZ86sqanBMCw0NNTY2FhbWxvfRX19fWVlZceMGaOurj5hwoRPnz71tgpe6DX622+/ZWVl/fHHH/giPmYsd0PqHt/2Gk1KShIWFhYREVFUVNTS0jp06NCWLVtERERERUXl5eUnT57M7QAHJE62we5ut9LU1PTw8Dh//ryvr+/IkSMXLVqEdTFVxUDU3Ny8YMGC8ePHV1VVUSgUT0/PpUuX8s6gATk5OXijQgi9f//e3Nx83rx5Hz58YDAYCKHp06ezXvQaMmTI/v37b9y4cfr06SlTpnTc2p07dwwNDfGGunXr1vr6+vT0dBsbG+b9dlOnTlVUVExJScEXnz59Wl9fzzqqGe/w8fF58uRJY2MjhUJRVlY2MjKqqqqKj4+fO3dufX19fn4+QmjXrl2FhYVnzpz5999/09LSdHV1u9padXX18+fPX716xbwczjv4/Dr9QHHz5k1LS0sajdbW1kYikWg0WkxMjJmZGZFIHDZsmKKiYn8NjAfYp30iTE1NHTVq1LBhw/DfoXjh69evjYyM8vLy8G/hweHRo0dycnJHjhwRFxcXEhJavHixu7v7yZMnuR3X/1BQUKiursY/cFVV1W/fvv348UNSUhJPXSUlJT2/6PXs2TNnZ2cvL6/6+vrnz58XFhauX79eSkqKtVtsQEBAenr6w4cP//77bzc3t4ULF168eJEH50MvKSkJDAx8+fLl8OHD6XT6qlWrzM3Np0+f/uTJk+3btyOEmDuthISEmZmZjo5ON9fVjh8/PmLEiF27dq1cuVJPT4/5O4BH8Pl1+gEBH89PV1d38uTJAQEB5eXltbW1375927NnT2Nj47dv3+Tl5d3d3bkdJvgP7ROhu7u7jo7Ohg0b4uLiQkJCMAw7derU5MmTlZSU3r5924+zwHBdTk5OuyOesWPHFhQUcKb25OTkS5cu3blzp7GxsdMVFBQUDAwMjhw5gmHYvHnz7t+/7+jouHr1aoRQVlbWX3/91fNJO/39/Y8dO2ZnZycqKjpy5Mhbt24lJydraWnhk57j67S2thKJxDlz5mRnZ8vJyWVmZvLmJf1Xr16ZmJioqKjcvXtXTU1t7dq1ycnJJSUlycnJT58+JZPJ+DF0T8TGxp49e/b169cvXrz49OnT0aNHly5d2umcz9yCX6ePjIycPHnykCFDzp075+Pjw+2gwP9HpVIdHR2bmpo+fvxIIpGSk5Pv379Pp9NramoKCgpERUV9fX0TEhIG09fmYNX+P6SkpITPEb979+4NGzbcuXMnNjbWy8tr79697SYuGOi0tbXbjSb17t07dXV1dtdLpVLnz5+fl5c3bdq0/Pz8TZs2xcTEdDol0JUrV2xtbW/duqWrq8tgMDIyMurq6saPH5+fn+/v799uTqVuZGdnz5kzx9LSsrS0VFNTc//+/WPGjBkyZIirq6uBgYGVlZWIiMjDhw8PHjzo4eHRr++1/5FIpKamJoSQlJRUXFycubm5rq5uTk7OkSNHIiIi7t692/N+lWFhYXv37h3+v5NeLV++/Pr16/fv31+5ciW7ou8lfX39iIiIe/fuffjwwcLCYsmSJT3/pwP2KS4uTktLCw8Pj42NNTQ01NHRycnJMTExCQwMfP369dChQ79//y4gIPD+/fv/7LMGeEW7a4Z79+5lPv7jjz+GDx+elpaGL757944TVy37qrcX6ikUira29uHDh2k0GoZhd+/elZGRefv2LdsC/B979uyxsbFpaWnBF69cuaKtrd3a2trpynQ6PTk5OSoqKisrq6GhIS0tLSUlpba2lrnCz58/jx8/vmLFigMHDhQWFna6kVGjRikqKm7fvt3IyEhBQYFIJMrJyaWkpGAYlpube/bs2QsXLhQVFfXz+2SPmpoaRUXF5ORkfLGsrGzkyJETJ048cuQIczjAHpoxY8a9e/dYS5ydnf/880/8MS90lumItYcUDxrEnWXodPq5c+f09PTwwzv895aurq6Tk9PQoUMNDAyEhYUPHjwoLi4uKSlJIpEKCgq4HfKAx80h1srLy5mPbWxsXFxc8DE7Wltbz5w5888//3AwR7MXmUx+8OCBm5ubhISEgICApqZmWFgYB7qH3L9//9KlS8zLb46Ojr6+vpmZmZ2OniUoKMg6Ix3zZkFcXl6emZmZtbU1PpmLkZHRrVu3Zs+e3W4jpaWlQkJC4eHhAQEBurq6a9asef369Y8fPxBCWlpaPT+XyAuGDBly5coVOzu7KVOmSElJJScnGxgYhIeH9+F0hb6+/vPnz62trfHFlpaWp0+f2tnZ9XfIvWNmZlZRUdHpU3Q6vby83MvLi7MRAdTQ0DBr1qwPHz7QaDQikaitrU2j0RobG/Pz8wUEBKqqqtra2iZPnnzq1KnGxkYpKan09HSYX35gaZ8IL1++fO3atY7r4dOMDaZEiBDS0tKKj4+nUChUKpVjN1zX1tZKSUmxlgwZMoRCofRhU+7u7rt27cI7iSCEZs+evWLFiuLiYtb5XPAsSKVSGQzGjh076urqLCws3r59u3XrVltb2195I9wye/bst2/fPnjwoL6+fsWKFTNmzOjbdrZt2zZ+/HhpaWlbW9vGxsZDhw5paWnhE3dwkaqq6qZNm/ChZAIDA0eNGjVr1iw6nV5UVHTv3r3AwEDuhsdvsrKyAgMDQ0NDaTSanJycnp7emzdvzMzMhIWFExMTv3//bm9vHxkZmZeXV11dTafThYWFs7Kyhg0bxu3AQe+0T4Smpqaurq7M6b+ZqFQqB7JgSEjImjVr2F1LOxISEpwcONvY2DgmJmb37t344pcvX96/fz927NjebgfDsBcvXly+fJlZMn36dBKJlJ2dbYjP04sQQkhGRgb/lVpaWpqTk6OsrCwgIKCsrFxaWkqhULg+YnjfKCsrr1u37hc3oq6unpycfOjQoTNnzkhKSi5evHjnzp1cH7pl165dzEEM/P39//zzT2ZXCzs7O29v7wH682XAqaioWL58OT6WE0JISkqqqampuLh44sSJMTExDg4OX79+1dTUDA0NFRERGTNmDJFILCoq2rhxI2TBgah9IvTy8upqRM1+6fvU2traVc9MGo0WFRXF+UTIYcePHzczM6NQKFOmTCkrKzt8+LCXl5eCgkJvt0MgEISEhPBWykSj0dr9m0gk0syZMx8+fEin0/X19VtbWzds2LBo0aLo6Oh2g+nwIW1t7Zs3b3I7iv+DdSgfLS0t1v+mmppafHw8N4LiO/fv31+xYkVDQwOBQBAXF/fy8jp16tT8+fPz8/OfPXsmJCSUk5NDIBCqqqqkpaXxUS8IBMK2bdv27NnD7dhBX7TPbd2MK71s2bJfr6+lpWXChAl9OxM4OOjq6r5588bf3//w4cNDhw49f/58n0/HTZ8+/Z9//mFOCxwZGUkkEvX09NqtFhISoqurq6ysbGxsnJOTo6+vLyYm5ujoOMh6dTMYjLKyMklJyUEzRLWxsXFGRgbeo5hGo/n4+Ayat8bLAgMD9+/f39LS4ujoiGFYdHR0RESEqKhoYmJicXGxpKRkdXV1QkICfoxYUlIiICAwevToW7dujRo1ituxg77iTJ8cVu7u7nl5eR3LW1tbV69e3efNDuIea1359u2burq6lZWVt7f3smXLZGRk8L6gHZWXlxsbGysoKEyYMEFFRWXRokW/OAUrrzl37pyMjIyysrKoqOisWbN+vRMsL/QapVKptra2EydOnDlzppKSkri4eLturuxw6dKlPr92QLdBOp0eHBysra0tKCiooaFBIpGkpKQsLCx2795NJpPxC0MyMjL4iBYEAkFMTExDQ2Px4sU9HNQQ9BZPTMzLPps2bXr+/Hm7ueUQQsLCwswufN2IjIzMzMzsWP7582euX+DhMBUVlU+fPt26daugoMDU1DQoKKirU6xKSkqZmZnv378vKCgYNWqUtrY2h0Nlq/j4+CNHjsTHx48fP55KpR48eHDx4sWpqakD/ZCXSCRGREQkJia+fv3awcFh5syZ+DQUvwguT7BHihf8AAAgAElEQVQqKCh49OhRSkpKXFxcY2OjoKCgvLy8lpZWSUnJ2bNnY2JiFBQUCATC0aNHhwwZ0tzcLCwsHBAQ4OLiMsjuq+ZzXPim0NHRUVZW7vQpe3v7/3y5iIgI6yysTMLCwnjXVr5CIpF63m3EwMDAwMCArfFwxYULF44cOYKfQsSH8zA0NHz27FmfO5TyDiEhoZkzZ86cObMftwmXJ5iCg4N37NihqKj4/fv3hoYGRUVFJSWlz58/29ra0mi0zZs3Dx8+fO/evQQCAb9H3tzc/PLly/3ycwTwFO78ZG53qSM3N7fnxygLFixYsGBBx/KkpCTmgGGAr+Tn5+vo6DAXCQSCnp5eSUkJF0PiZRISEr///vvmzZs7npWh0Wjr16/nSlScV1hYuGvXrpCQEBcXl927d+OzWKurqw8fPrykpGTOnDl1dXVVVVUIIQEBAScnJzc3t25GbwcDGk+cOxo3blx2djYHhjcDg5KOjg7riAQ0Gu3NmzcbN27kblS87BcvTzQ2NnZ6139TUxM2cCaoSUlJsbS0pFAoFhYWKioqb9++Xb58eUhISHh4uKur6/fv3/HZdI2MjGJiYuAocHDjiUSIEBpM81oMCDU1Nc+ePaNSqebm5kOHDuViJI2Njenp6RQKxcDAgDnyZ1eoVKqwsHC7yzMeHh62traampqzZ8+uqanZunWrhoZGp9NRDWivXr0qKCjolzl9fvHyhIeHBz4icTsNDQ0cG5ji1zU3N4uJiQ0ZMgQfZSIsLGz06NFEIhEfcVdcXFxYWNjCwuLWrVvcjhSwXXfzEYLBKiIiQltb++TJk5cvXzYwMDh27Bi3Inn58qW+vv6OHTtOnjw5YcKEffv2dbVmWlqaubm5hISEpKSkg4PDt2/fmE+ZmZldv37d09NTVFRUW1tbUlIyLCyMOdXioHHlypV+HF+t4+WJnr/24sWLPztjZWUlJyfXXxGy24QJExISEnR1dd++fVtcXGxnZ3fy5EkJCYlv374VFxcrKSmdP38esiC/4Ezn1O5t3769vLz8FzcyoLtuc1J+fr60tPTz58/xxaKioqFDh8bGxnI+EgqFoq6uHhERgS9WVVUZGhpeuXKl45qfP3+WkZG5evUqlUqtra3dvHmzoaFhc3Nzu9UaGxvb2tr6JTZeuH2iHQaDgQ8Qzw7i4uJfv379xY0MuDa4YcOGFStWbNmyhUwmKyoq4jehTp48mccnGOATvDJDPcf4+/vDjKMIIQzDrl69OmnSJAUFBTMzsydPnnS1Zm1tbXJyckZGRnNzc29refLkyZw5c8zNzfFFDQ2NnTt3cmWAlbS0tKFDhzLPxcnKyh4+fPjixYsd1zx//ryTk9OqVauIRKKUlNTJkyfJZHJ0dHS71Ugk0uA7EGQiEAhsnY+Qry5PZGRk6Ovr379/v6am5ubNm2PGjJkzZ86JEyeSkpJSU1MHZedq0A1euUYIEEJ//PHH5cuXSSRSa2vr58+fraystm3bduLEiXarXblyZfv27SNGjGhubv758+fFixc7zjjRjaqqqnYXcuTl5evr6/vhDfRSZWVluxsfFRQUOp0aNycnB5+UGEcgEMaPH19YWMj2EDkOZp/ggIKCAi8vrz179qxYsQIhFBoaun379vDwcJg+kG8N2p/PA05ra+vRo0cxDFuyZMnPnz+rq6sDAgICAwMTEhJYV3vx4sXevXufPXuWnp7+7t278+fPOzo6sk6e9Z9MTEwSEhJaW1uZJXfu3Ol0ZmB2MzQ0fPnyZWNjI7Pk4cOHrCOGM40YMSInJ4e15NOnT4OyI5+qqqq3t3dgYGBgYOCwYcN+++23wMBAf39/Nze3ESNGhIWFsaleFxeXjkPtD1ahoaF6enoODg4EAoFAICxfvtzGxiY4OJjbcQHu4cwZWA4YcNcn2nn//r2KisrEiROZJU1NTQQCwdramnW1zZs3//HHH6wlK1euDAoK6nlFDAZj7ty5M2bMiI2NffLkyZo1a7S0tCgUyi/G3zdr166dOnXqw4cPX7x4ceTIESUlpU7n1339+rWcnFxCQgKGYTQazd/ff8SIEWyNmVvXCDMyMpiPp06dynpRsKioaO3atZwPqed4vA02NDT8/PkTwzA3Nzc/Pz/Wp4KCgtatW8eluEDn+O4aIUAIqaioVFdXs94/UFpaKiEh8f37d9bVvn371u4EjpqaWmVlZc8rIhAI0dHRVlZWAQEBnp6eMjIyaWlpZDL5F+Pvm3Pnzs2fP//AgQPr168vLi5OT0/v9Dhv3Lhx586dW716tYKCgrS0dERExO3bt7kVM1vB7BNsUlNT888//+CdY0eOHPnu3TvWZ7OysmAqXX4GiZBXyMjIGBoaxsfHU6lUhFBdXZ27u7uxsXG7MXcMDAxSUlKYiwwGIzExsbfD3ouKiu7evfvx48fJycn+/v6ysrL98hb6QEhIaPv27S9fvnz//v358+e7GVRh4cKFpaWlb968+fr1a1pamr6+Pifj5Ap89gn8MY1GO3z4MMw+0WcSEhKLFy9uaGi4c+eOoqJifHz8li1bamtrm5ubT58+nZCQsGHDBm7HCLgGOsvwkMjISAMDAxkZmTFjxnz+/HnUqFFfvnw5deoU6zqurq5GRkY+Pj6LFi1qbW09duyYgIBAv9xkPSDwVXeGtWvXLlu2rLy8XEJC4sOHDxQKJTQ0lNtBDTCfPn26ffv206dPX7161dTUpKKiQqVSy8vLVVRUgoODg4KCBAQETE1N4+PjB9BQAKDfwREhD1FTU8vJyZkzZ052dnZTUxODwYiMjBw9ejTrOvLy8ikpKfn5+XPnzl26dOmwYcNiY2MH+jQLoFP47BM+Pj5WVlZ//PHHp0+fejL+GWD1+PHjiIiI33//XUxMbPPmzbW1tSQSqaCgQEFBITAw8O+//9bQ0EhISICpBPkcX3yBNjY2/vHHHxEREXV1dQYGBocPHzYzM+N2UJ1TVFTseHtcO+rq6iEhIWwNIzIy8vTp06WlpcOGDduyZcuwYcN+/PihpaU1KDtq8qxHjx5ZWVkxZ59oamqiUCgSEhLcjosXvXv3rrCw0MDAQFlZOS0trbCwsKio6MyZM9XV1WJiYnFxcaqqqsePH4+Li8vLy1NSUvL29j5+/HhycvK5c+fS0tKmTp3K7XcAuIkvEqGTkxN+26yKisr9+/dtbGweP37caTd9gBC6ePGij4/PsWPHxo4d++DBg4ULF5LJZH19/bdv39rZ2V24cAEOQDnD09PTysqKudja2jpv3jzWK8QAIfTt27fly5eXlZVpaGi8e/eOSqUaGhqOHTv29u3bU6ZMiY2NzcrKWrRoET70RENDA5lMLikpYd6xqqioWFdXx+03Abhs8H+jffnyJTExMT8/n0QiIYQ2bNjQ0tLi6el59+5dbofGo/bt2xcXF2dkZIQQcnZ2XrRo0fPnzxMTE2tra+3t7Y8ePXro0CFuxziYhYSEpKenS0tLl5SUHDhwgFmem5v78eNHLgbGmxwdHcePH+/n50elUufNm9fY2GhiYvLgwYPLly/v3btXRESERCIFBwdPnjz569evBgYGDx48kJWVvXHjhqGhYVlZWUZGBvwmBoP/GuH79+/HjRuHZ0Hc1KlTs7OzuRgSLysrK2ttbcWzYFlZ2fv3769fv47f4C8tLR0UFHT+/HluxzjIGRoa1tfXl5WVIYSKWJBIpOvXr3M7Ot5SU1OTnp7u5+cnKCgYGho6bty4mzdvXrp0qaCgwNzc/MiRI2QyecuWLfr6+hISEr/99hs+v6CdnV1QUND06dNnz57t4uKioaHB7fcBuGzwHxGqqam1G4urqKgIeoh1RVZWlkqlNjU1kUiksrIyZWXl2tratrY2/Ka9oUOH4l8lgH2MjIzwoV+jo6MXLlzI7XB42vfv3+Xk5DAMQwhJSEjk5uaqq6s3NDRoaGjk5OQoKChISkrS6XR1dfXGxsbi4uLy8nI1NbXy8nI5Oblbt27t2bPHwcGB228CcN/gPyI0NDQUEBDARy9DCBUVFe3YscPV1ZXbcfEoIpE4d+7cLVu20Gg0PT29goKC1atXL1u2DB9/6+HDh+16sYJ+9+nTpwcPHpSUlCxcuJDBYKxbt05JSWn69OlwdbAjNTW1WbNm4SPPGRkZZWRkxMTEjBo1atOmTc7Ozjdv3hw3blxwcLCRkdHcuXNfvXr18+fP/Pz8L1++5ObmJiQkrFixgkAgcPtNAO4b/ImQSCRGR0ffu3dv2LBhhoaGJiYma9ascXR05HZcvOv8+fNFRUXa2to2NjbCwsJJSUn29va5ublXr151c3Pz9/fndoCD3J49e169eoUPwXrnzp2QkJC9e/fu3r3b19f39evX3I6OtxCJxBEjRvj4+ERHR9PpdD09PUdHRwcHBzMzMxKJ9Oeff8bFxSkpKeno6ISHh48cOZLb8QIexUOnRouLi8PDw3fs2NHvW9bR0Xnx4kVubm5lZaWBgQEMz9E9OTm5f//99+PHj3l5eSNHjkxNTfX29i4uLh43blx0dPTgm/md19TU1Hh6euKPnz9/bmNjs3nzZoTQlClTtm3bdvbsWa5GxxOqqqri4+PnzZsnLS29a9cuVVXVwMDA79+/a2pqenh4PHr06ObNm5MmTTp//ryQkJCSkhL/jCcO+oYLibC8vNzd3T0lJUVXV3fjxo3MUVEKCgp27tzJjkSIECIQCCNHjoSfhD03evRo/Cyonp7eunXr+nHLGIZ9+/aNTCYPGTKkHzc7aLAOqpeamsqcr5FEIuGn9/lQaWlpcnIyjUabNGmStrb2ixcvnj17tnPnThKJZG1t7eXltXLlSm7HCAYwLpwa3bhxY2pqqqen54oVK0JDQ93d3VmnBAKDW1RUlLKysq6uroKCwuzZs0tKSrgdEc+h0Wj4edGysrL09HTWGbJevXrF1qqLi4u5e+r75cuXx44dCwgI+PTpE7Pw5s2bhoaGV69ejY2NdXR03Ldv34YNG/T09F6+fHnnzp3v37/b29vz1azCoN9xIRE+efLkzJkzGzdudHJyioqK+u2339asWdPQ0MD5SACHJScnu7u7R0dHNzQ0NDQ0GBgY2NjYtLS0cDsu3uLs7GxhYbFjxw5ra2tVVdUJEyYghDAMe/ToUX9VUV5ebm9vr6ysbGlpGRERwSzHz8r0Vy29hZ8fqqioKCwsnDZtmp+fH0Loy5cvW7ZsSUpKio6ONjY2PnHixOnTpy0sLLZt26ampqavr3/jxo3KysqHDx9yK2wwCHAhEUpISCgqKjIX586de/z48R07dkC//EHvwoUL+/btMzU1RQiJiIicOHFCREQEvsLaMTMzu3TpEoZhxsbGDx48EBMTQwjFxsYmJSUxrx3+Ih48KxMVFfX48eN3797hQ4BmZGT4+/u/fPkyISHBzs5OV1dXVFR0586d5ubmSkpK1dXVzBcKCQmZm5vDncHgV3DhGuGaNWuOHj169uzZoUOH4iVqamq+vr6rV6/uycvLy8vxe43bqaura2tr689AQX/Ly8tj7a9LIBD09PTg7GhHhoaGAQEBrCXW1tb9OOL2kydPrly5YmtrixBycnKKi4tbs2bNuXPn+mv7fQvJyclJSkoKX1RXV1+1alVsbKyAgICSklJNTY2cnBz+lKKiImsiRAiVlJRMmjSJ0xGDQYQLifDQoUOPHz+Oj493cnJiFkpJSYWFhbm5uf3ny48fP37//v2O5ZWVlcrKyv0ZKOhv+ISoM2bMwBcxDHv37h3/zCHFOzqeldHX19+xYwc+ujdXUKlU1uGfEEJEIpFGo40fP/748eOsh8IMBqOoqCg/P3/EiBEIoYsXL759+/bq1aucjhgMIlxIhEJCQrNnz2Ytyc3N1dbWJhKJFy5c+M+XBwUFBQUFdSz38/ODYwse5+bmNm/evJEjR86ZM6ehoeHgwYNiYmKzZs3idlx85xfPyuD353Usz8rKwkcg6gMzM7MrV664uroKCAhgGBYbG/v9+/dly5ZZWVldunTJ2traxcVFSEgoPDy8oaHB29vb1NRUUVGxsbFRXFw8JiZGWlq6b/UCgHjkPsJx48ZlZ2d3Mzs5GByMjY2vX7/u5ua2ePFiDMMWLFgQHR0Nc1lw3i+elZkyZUqnE3KFhob2+fLE6tWrr1y5Mm3aNEdHRyqVmpqaSiQS8R9J0dHRJ0+e/Ouvv2g0mrm5+enTpyUkJNauXfv+/XsJCQldXV1BQcG+VQoAjle+g6D3M5+YOXPm58+fGxsbiUQipEBu+cWzMuPHj2e9qYOpsLCwJ2dlGAxGW1ubkJAQg8HAMAzfDQQFBWNjY8+ePfvixQsCgbBgwYKlS5fi6wsLC+/atWvXrl2sGxEXF4frgqC/wDcR4AJxcXFuhwD+D06elfnw4YOFhQU+2ouHh4ejo+OmTZtKS0tFRETc3d03bdqEd5QFgGN4IhG6uLjAGEgAcBc7zspkZmZevHixuLjYyMjIw8MDn/VFUFAwLCyMeUh65coVb2/vMWPGzJ8/X1ZWFrIg4DyeGHTb399fSUmJ21EAAPrTlStXfvvtNy0trVWrVtXV1Y0ePTovLw8h1NLScuHCBUtLSyMjo0+fPtXW1paXlyOE5OXlJ06cyO2oAT/iiSNCAAB39ftZmZaWls2bNyclJY0ZMwYhtGzZMnV1dTc3t/j4eHV19dOnT8vKygYEBHh7e//99995eXlubm7V1dWlpaUwAi3gPJ44IgQAcFe/n5X5+PGjiooKngVxK1euxKdUlJOTa2lpCQwMNDIyotFosrKyEydOPH369JIlS7Zu3dqPMQDQQ5AIAQD9j0QiNTU1sZY0Njbi1//u378vKCi4aNGiurq6NWvWREVF4StIS0ubmJhwIVbA9yARAgD638iRIwUFBZkjejMYjKNHjzo4OMTGxtbU1Pz1119xcXFiYmLz5s0rLCx0cnK6evVqVVWVj48Pd8MG/AmuEQIA+p+AgMC1a9dsbGyuXr2qra395MkTQUHB7du3jx49etiwYaxrsmkKUgB6DhIhAIAtTE1Nc3Jy7t279/379/379y9cuBCGgAG8aVAlwtLS0vPnz7cbupfzamtrud7zDcMwCoUiKSnJ3TDq6+vJZLKAAJfPwLe1tenr6/fqJV+/fmVTMIPbjx8/2s0eLCkpWVlZqaCgkJWV1fPtfPnyhU6nEwiE/g6wcxxus4O7OhqNxtpJqs842QYHTyLU0tI6ceLE/fv3RUREuBtJc3OzqKgox9pwp9ra2uh0OpFI5GIMCKGWlhYhISHuHgdgGNbS0jJu3LjevtDOzo4d8QxiWlpa4eHhzs7O+CKRSGxpacEbQmhoaK829e7dO0FBQY79hKJSqUQikWNtlsNfEU1NTZw8PGhqajI2Nu6XTXGuDWKDiJ+f36ZNm7gdBTZs2LCPHz9yN4bY2Nhp06ZxNwYMw6ytrcPCwrgbQ1FRkby8PHdj4EN1dXU5OTl9frmxsXFSUlI/xtM9LS2tt2/fcqw6eXn5oqIijlUnLCxcW1vLmboaGxsHYloZPEeEAADeISkpyfUz8wD0ENw+AQAAgK9BIgQAAMDXIBECAADga5AIAQAA8DVIhAAAAPjaoEqEwsLCwsLC3I6CJ8LghRh4JAxeiAH0Fof/a4O7OhERESEhDt0gICgoyPXbl/uAgGEYt2PoN1QqlU6nk8lk7oZRVVUlJyfH3RgYDEZtba2MjAx3w6itrSWTyRxrhF3hhf8I6JXq6moZGRmO3XLO4T0EquM1gyoRAgAAAL01qE6NAgAAAL0FiRAAAABfg0QIAACAr0EiBAAAwNcgEQIAAOBrkAgBAADwNUiEAAAA+BokQgAAAHwNEmE/aGpqOnLkSHV1NYTRfQwci/A/K8IwrLm5md1hgAGHQqG0trZyO4p+NijfVP8aqIkQw7CTJ09qaGiQyWQrK6uioqJ2K7x48WLbtm0HDx60s7NLSEhgazB//vnnwYMHW1pa2pWXlpZu3759z549c+bMefv2LVtj6CoMOp3u6emppqY2ZMiQRYsWff/+nfMx9PBZzoSBYdiNGzdWrlzJ7r0C/AoO77cIoS9fvmzevFlVVbWgoIB9tXD4O4EzbwrH+X9Zf8IGppycnMWLFxcUFLx588bExMTe3p712fr6+jFjxrS0tGAY9u3bNxUVFQaDwaZISkpKtm3bhhD68eMHazmDwZgwYUJlZSWGYbGxsRoaGm1tbWyKoZsw4uPj582bl5KSEhUVpaSktGjRIs7H0JNnORMGg8FwdXXduXMnW/8X4Ndxcr/FMKyuru7SpUu5ubkIoU+fPrGpFg5/J3DmTTFx+F/WvwZqIszMzKyursYf//333+vWrWN9Nj09XUFBgUajYRjW3Nyso6PDvkR46NChT58+IYRqa2tZy5OSkmbOnIk/bm1tFRMTe/HiBZti6CaMCxculJSU4I9Pnz6tpKTE+Rh68ixnwggKCrK2tmZr7aBfcHK/ZcXWnMHh7wQmziRCbv3L+sVAPTVqbGyMT61ApVLfv39/6NAh1mf19fWbm5uXLFlSVVX1999/+/r6smkY+8zMTAMDA1FRUYRQu3lVXr58OXToUPyxsLDwiBEjOp6/5UAYTk5OzDBERER0dXU5H8N/PsuZMBoaGjw9PQ8ePMi+2kF/4dh+y0mc/E7gvAH9LxuoiRDn6Ohoa2v77t27rKws1nISiZSYmPjs2TNVVdXk5ORZs2axo3YMw6KjoxcuXIgvCgj8nw+zoqJCXFycuSghIcGmTiLdh8EqLi7O1dWV8zH0PEK2hhEXF9fW1lZYWGhsbDx8+PC//vqLTWGA/sW+/ZbDOPadwHUD7l/G5YniftGlS5eEhIRiYmJsbW3fvn2rr6+Pl2MYdvXq1cDAQAKBsHPnznHjxqWmpvb75HwxMTF2dnasx5oMBoP55dva2sraU0tYWHjIkCH9G0BPwmCKj49XUVFZsmQJ52PoYYTsDiM7O1tAQIBEIr148eLWrVu///67qampiYlJv4cB+hFb91sO49h3AncNyH8ZN8/L9hMGg0Emk2/dusUsCQ0NZV41LC8vFxcXv3z5cr/Xa2hoSCQSiUSiiIgIQkhAQGD37t3MZ48ePbp06VLm4rhx4x4+fNjvMfxnGLji4mIHBwe89xDnY+hJhBwIY+/evebm5szFUaNGnTp1ih1hgD7Yvn27+P/68uULXsi+/bbT6jA2X07j2HdCO2x9U+2w+6uGTQZqImRNezQaTUxMLDc3l1mye/fukydPMhenT5/O1h2usLAQIdTU1IR3z8GFhYWNGTMGf8xgMFRVVX/+/Mm+GLoKA8Owuro6FxcXCoXC1tq7j6Enz7I7jAsXLkycOJG5aGpqGhUVxdYwQM+Vl5cXFhYWFhZ+/foVL2HrftuxOhxbcwbnvxNwHEuEnPyq6V8D9RphWlrakydP8MeXLl06ePCglpYWhmEeHh6vXr2aNGnS48ePMQxDCP348aOtrW3q1KnsC6ahoQEh1NTUJCQkxIxh3rx5xcXFnz9/xqOdMmWKtLQ0+2LoKoyWlhZHR8cZM2ZkZmYmJiYmJiYWFxdzOIZOn2VfDF2FYWdnl5eXV15ejhCqrq6uq6ubPXs2W8MAPaekpDRs2LBhw4apq6sjhNi937arDkej0Zh/2YHz3wmI/W+KicNfNf2Mm1n4FyQmJk6ZMmXFihXHjh2Ljo7GC2k0mp6eXnh4OIPBOH78+OrVq318fPbs2VNWVsa+SM6fPz937lyE0NKlSx8/fsyMAcOwpKQkW1vbffv2bdu2jd2/kroKw8nJqd1//MSJExyOodNn2RRD92EkJiYuXrzY29t7y5YtOTk57IsB/CJO7re4iIiI1atXI4Ssra0vXbrEplo4+Z2AcepN4Tj/L+tHBAzD2JFfAQAAgAFhoJ4aBQAAAPoFJEIAAAB8DRIhAAAAvgaJEAAAAF+DRAgAAICvQSIEAADA1yARAgAA4GuQCAEAAPA1SIQAAAD4GiRCAAAAfA0SIQAAAL4GiRAAAABfg0QIAACAr0EiBAAAwNcgEQIAAOBrkAgBAADwNUiEAAAA+BokQgAAAHwNEiEAAAC+BokQAAAAX4NECAAAgK9BIhwAMjMzly5damZmxoNbvnnzppWV1fbt2/sxKgD6wNvbe8KECTdu3OB2IP+NN1sNb0bFGZAI2ej27dumpqYEAsHFxcXb23vlypWTJ09OTk7u7XZMTExsbGwqKirwxdbW1paWlq5WfvPmTUhISN+23AcODg7q6uqNjY193gIAvTJnzpzZs2dbW1vr6uoKCQlZW1tbW1sPHz581qxZTU1NNBqNAzG0a2XdN8mOumk1hYWFrq6uLi4uq1atWrBgwfLly7Ozs/shYhZdBc/PbVmI2wEMZra2thQK5eXLl2fPnsVLXF1dly1bVlJSQiAQerUpSUlJ5uNt27ZRqdTg4OBO1zxx4oSkpOSaNWv6sOW+kZCQoFKpv7gRAHpo/PjxR44cQQj9+eefx44du3//PkLo1q1bUlJSZDKZMzG0a2XdN8lOddpq7ty5c/To0Rs3bmhra+MlV65cmTBhwoULF5YvX94vkaNug+fbtgyJkL3ExMRYF/X19e/evfuL29y9ezeDwejqWWFhYWlp6V+s4ldgGMZM86yPAegXjo6O+ANhYWERERH88bRp0379J13PtWtl3TfJHqqoqFi3bt3t27eZWRAhtHr16rdv37q6ulpaWiopKaH+aF/sCH6gg0TIOQ0NDdevX9+/f39ERERwcPCoUaOUlJR8fX3fvHnT0NCQlJSE/3VycrK1tUUItbS0XLp0KTMzMz8/X0jof/5TpaWlCQkJoqKiGhoaCKH6+vrAwMDU1NSsrKzt27draWklJCQghJ4+fXrkyBErK6sPHz70cMtMx48f37t3r4ODw5EjR2RkZHbt2pWZmRkcHGxkZBQeHh4eHp6amqqvrx8RESElJcX6wvPnz1++fNnS0vLo0Rl+CrkAACAASURBVKOfP3/28vJKTU0tLi5GCHUMg06ne3p6CgkJVVRUUKnUq1evsv8/AAYDZp4gEAjMNKCsrIw/oFKpzs7Od+7cUVNTu3HjxsiRI1Fnux9CqKio6O+//5aRkcnMzNTT0zt48CCRSAwPD//PthkTE8PayvT09Lppkjt37uy+1TCFhYUxGAxzc/N25c7OzidPnnz69CmFQumqfXWs4tixY7dv316/fn1GRgbrp9F98Kz4q81igJ0iIiIEBQXLysp8fHz27Nnz5MkTDMOoVKqtra2Ojs7Zs2cdHBxevnxpbGxMp9MxDMvKyiISifX19TQazdbWNj09HcMwGo3m7u4+YsQIDMOeP39uZGTk7OyMYVhTU9O8efNyc3MxDCsuLnZ3d8cwbMWKFfv378drLygo6PmWWU2YMMHLywt//Ndff6WkpOCP8XopFIq+vv6ZM2fwws2bN+PldDrdyspq9+7deHlMTIy4uHhXYVy7dm3Dhg34mkePHu3vDx4MfqdOnVJVVWUtmThx4qxZsz5//tzY2Dh16tTly5djXex+DQ0N2trapaWlGIY1NzePHTt227ZtWM/aJvZ/W9l/NsnuWw3T2rVrx4wZ0/FttrS0CAgI7N+/v6v21WkVtbW1Ghoas2fPbvdpdBM8a1T81mbhiJATlJWV9+/fz1wkEon4RWlnZ2dnZ+e//vqrrq7O09NTRESESCTa2NjU1tamp6eXl5dPmDABISQkJDRr1qwHDx4ghMzNzc3MzFpbWxFC4eHhJBJJS0sLIaSmptaxu9e9e/d6vmVW69at8/X1PXjwIIFAKC4udnNzw8v/+ecfBoNRVFSkoaGRm5vb7lWCgoLMH+YIIVVV1W7CaGtru3v37rhx4xYsWLBv375f/YgBQAghtHjxYh0dHYTQ77//HhQUhLrY/Z48eSIpKYnvoqKiom5ublu2bDlx4kRP2qaEhARrjf/ZJLtvNUxtbW1lZWUdy4WFhfGTmV21r06rkJKSUlRUtLe3b/dptMMaPCt+a7OQCLmDQCAMHz4cf/zhwwc5Obk//viDdYVbt26xtjc6nc58LCDwP319X758KSoqyizv9ORGr7bMtGzZsq1btz5//lxTU1NPTw8/AUWn0w8ePFhRUWFmZqasrNzU1NTp++r4uNMwHBwc8vPzT5w44erqamFhER0dLSsr23GDAPQK81Q/mUzGe5B2uvvl5OSwXhQYNWpUQ0MDhUKRkpL6z7bZUTdNsietBjd69OgrV64UFxerq6uzlldUVLS0tFhYWKAu2ldXVRAIhI6fRjfBs+K3Ngu3T3CftLT0u3fv2u2m8vLyHz58YGapoqKiji+Uk5PLzMzs5kJ3n7csKSm5dOnSkJCQqKiopUuX4oWXLl16+vRpcHDw2rVrFRUVO62RQCBQKBT8cWVlZTdhFBQUeHt75+XlZWVlffv2reNRKQD9otPdT1lZOT8/n9kKqFTq0KFDO1696/S13ejYJHvSanD29vZiYmK+vr7tyqOiombOnDl+/HjURfvqeRU9x29tFhIhe1Gp1La2to5nHuh0OrMRLlmyhEqlbtmypbW1FcOwyMhIDMNmzJhBoVB8fHwwDPv69eu9e/eY67e1tbW1taH//YF2/Phx/DR3dXU1QkhYWDg3N7eurq6pqam3W2bl5OQUERHR1NQkLi6Ol5SUlDQ2Nra2tmZlZT18+BDDsI7vRUZGJikpiUqlVldXh4SE4OWdhhEaGvrjxw8CgTBmzBhtbW0TE5P+/eTBoEelUtv19WfdFdH/nu3odPdbtGhRc3Pz9evX8TXv3r3r5eXVcSOdvhb931aGum2SPWk1OE1NzYCAgODg4FOnTjFXy8jIiIyMvHbtGr7YafvqYRXMx10Fz/oSvmuznLoYyY9u3bqFD9ri4uLy7t07Znl4eLiuru6IESOYDSY+Pt7ExERNTW3t2rVxcXF44b1793R0dFRUVNatWxcTEyMiIuLl5YW/VktL6/r16xiGPX782NjYWFNTc/r06eHh4firJCUlJ0+eXFdX16sttwuewWDo6emlpqYyS758+aKjozN8+PCbN296eHjo6+unpKS0i+fjx496enqysrKrVq3Cb/Dav38/jUbrGMaFCxcsLS3xe4fv3bvHnv8AGLQuXrxoaGiIENq+fXtBQQGGYT4+PmQy2dzc/PHjxxiGRUREiIqK+vn5YV20gqSkpEmTJrm5uZ08efLGjRsMBgPrTdtktrLum2RPWg2rFy9ezJ8/f+rUqYsXL169erWXlxeFQmE+22n7ys7O7liFj4+PhIREp59GV8G3i4qv2iwB+9+fDwAAMGjg5ycxDBMUFOR2LL2DYVhgYODBgwcXLVrk4uIyadKkX9/mwP00OAMSIQAA8JC0tLS2tjZhYeGIiIgrV65oamqamprOmDHD2tqa26ENWpAIAQCAR7W2tj5+/LiwsHDDhg0dx74A/QUSIQAAAL4GvUYBAADwNUiEAAAA+BokQgAAAHwNEiEAAAC+BokQAAAAX4NECAAAgK9BIgQAAMDXIBECAADga5AIAQAA8DVIhAAAAPgaJEIAAAB8DRIhAAAAvgaJEAAAAF+DRAgAAICvQSIEAADA1yARAgAA4GuQCAEAAPA1SIQAAAD4GiRCAAAAfA0SIQAAAL4GiRAAAABfg0QIAACAr0EiBAAAwNcgEQIAAOBrkAgBAADwNUiEAAAA+BokQgAAAHwNEiEAAAC+BokQAAAAX4NECAAAgK9BIgQAAMDXIBECAADga5AIAQAA8DVIhAAAAPgaJEIAAAB8DRIhAAAAvgaJEAAAAF+DRAgAAICvQSIEAADA1yARAgAA4GuQCAEAAPA1SIQAAAD4GiRCAAAAfA0SIQAAAL4GiRAAAABfg0QIAACAr0EiBAAAwNcgEQIAAOBrkAgBAADwNUiEAAAA+BokQgAAAHwNEiEAAAC+BokQAAAAX4NECAAAgK9BIgQAAMDXIBECAADga5AIAQAA8DVIhAAAAPgaJEIAAAB8DRIhAAAAvgaJEAAAAF+DRAgAAICvQSIEAADA1yARAgAA4GuQCAEAAPA1SIQAAAD4GiRCntbU1JSYmOjt7V1VVcXtWAAYDFpbW9PS0vz8/HJycvq8EWiYgwwkQnahUql+fn62trYzZswYPny4ra3to0ePeruRhIQEf3//Q4cO1dbW9uqFoaGh9vb2BAJBVlbWw8OjoKCgt1X3HJVKpdFo7Ns+GPQSEhKsra0JBIK8vLydnZ2Tk9PEiRNHjhx54sQJDMP6t660tLQzZ87s3r27pKSkzxvpc8PsA062Zf6FATag0+lWVlaHDx9ua2vDMKy1tXXXrl1OTk592NTDhw8RQrm5ub19IYVCQQgtW7asD5X23LNnzxQVFbOyspiLSkpK+fn5bK0UDD719fUIIWdnZ3yRwWBs27YNIXTr1q0+bK37/TA/Px8h9OjRo76H+wsNsw8405b5GRwRskV0dHRWVtaBAwcEBAQQQsLCwk5OTioqKn3YFL6FPiCTyQICApKSkn17eQ+VlpZWVFTIy8vji2pqatbW1rKysmytFAw+EhISrLs6gUBwdXVFCKWnp/dha93vh31uU/2+kR7iTFvmZ0LcDmBwysjIEBcXJxAIzBItLS1PT08Oh0EgEFhjYAcRERGE0JAhQ/BFTU3Nc+fOsbtSMCi1220aGhoQQgYGBn3YVG/3w58/fw4ZMoSZ21pbW5ubm6WkpPpQNZtwoC3zMzgiZAt5efmioqL9+/fX1NTgJQQCQUjo///sSE9PX7p0qZaWlry8/K5duxBCX79+3bBhg7a29pAhQ5YsWYKfKeqIRqP5+/u7uro6OztbWlqmpqb2LUIMw4KDgzdv3rxx48apU6fu2bOnqampt+HdvXt3//79CCFNTU0lJSVvb+/ly5fjp6S6r+XSpUsLFy40MjIqLi42MzMTExMzNDR88uRJ394LGHxoNNqRI0csLCwcHByYJZ3u+WFhYatWrXJxcZkzZ46zszNC6NGjR+32Q4RQUVHR5s2bLS0tjY2NDx06xCw/e/assbGxnJwcvme+efPmt99+k5aWjoiIwFfoYcPsGAargIAAIpGooKBw/PhxhFBNTc2OHTuEhIT27dv3n6/tyWfV8ZPppsZO109OTnZ2dtbU1Pz06ZOjo6OUlNSHDx+6f/vXr1/39PS0t7c3NzfPy8vrPh5ex+1zs4NTbW2tubk5/glraWktXrw4ICCgvr4ef9bPz2/p0qUUCoXBYCQmJk6dOhXDMCsrq5KSEgzDUlJSREVF8W4CGIbhXWzwSxF0On327NmHDx/Gnzp79qykpGRZWVlXYQgKCjIvurSzfft2R0dHBoOBYdj379+1tLQsLS3xK5q9Cu/atWsIoebmZgzDKisrDx48iFgunHRVy4cPHywtLSUlJXfu3JmXl/fp0ycjIyN5eXl8O4A/4btrVFSUh4fH3LlzT58+3djYiD/V1Z7//v37ESNG0Ol0DMNoNJqDgwPW2X54+fLlGTNm/Pz5E8Ow6urq1atXo/+9RshgMA4fPowQolAo+MofP35ECF24cAFf7EnD7DSMdtasWSMjI9Pa2oovpqWlrV+/voevxbpuy918J3RaY1frl5aW7t69GyG0bNmyAwcO6Orq4ldYu3r7f/7555o1a/DHW7duFRYWHjp06OTJk1taWnr1HcUjIBGyC4PByMzM/Oeff9auXautrY0QGjZsWE1NTVZWFoFAqKioYK4ZGRmJYVhhYSGzxM7OjnlhnLW93b59GyGUl5eHP1VeXo4QunLlCp1Ob2aB5zOs68bz5csXAoGQlpbGLMHz2f3793sbHmsixDAsPj6eGW03tWAYtmPHjiFDhuDtH8Owe/fuIYTev3/f4w8YDDb47pqRkSEiIjJp0iTmNzjW9Z4fFRUlKSmZmpqK/9hi7qWs+2FdXZ2IiEhycjJza4WFhYils8zNmzdZE2FraytrIuxJw+wqDFYvX75ECOGtCcOwgwcP5uTk9PC1WNdtuatPpqsau1kf/9DOnDmDYVhFRUVLS0tXb5/BYCgrK1+/fh0vf/36NUIoJSWl+3h4GVwjZBcCgWBsbGxsbOzi4sJgMI4cOeLl5fX48ePPnz9LSEgoKCgw11y0aBFCSFVVNTQ09OnTp4KCggUFBczuJ6wyMzMRQvv37yeRSKKiomQy2c7OTlZW1tfXFz9FiRAik8mlpaXdX95IT0/HMExVVZVZYmlpiW8/Kyurz+EhhAQFBXtSy7x58wQFBaWkpJjra2hoIIQ40Bkd8DgTExNfX9+tW7d6enrip/VQ13u+qanpsGHDTE1N1dTUZsyY4eDgMGzYMPR/98OXL1+2trbq6el1VWO7a2/tFnuy51taWnYaRrv3ZWRkdP78+UWLFrW1tVVWVo4cObKHr+1GV59MVzXiP0Y7XR//0KZNm4YQYn4DdPr2qVRqeXk58zQpiURCCOFPdRMPL4NEyBa1tbViYmJEIhFfFBAQcHNz8/LykpGRaWlpqa+vb2hoIJPJzPXr6+unTJkya9asgIAAMpns4uLCes6dCcMwhNDZs2eZnVNwOjo6s2bNwh9LSEj850V+vBtCZWXl0KFD8RJ8J5aRkamsrOxzeD2vpePK0BEAMHl4eDx8+NDX13f69On4jt3Vno8QysjISEpKiouLi4qKunz58u3bt21sbFhXwA9KqqurmTtep7e9Yp3dsNjDPV9aWvo/w8D7wa5fv76wsDA7O3vhwoU9f203uvlkOq2xm/VxwsLC//n2xcTEzMzMzp07t2LFCgkJiUuXLq1Zs0ZLS6sn2+dN0FmGLWJiYjIyMlhL8vPzZWVlJ0yYMHbsWIRQeHg467ORkZHv3r3z9PTE0w+eQjoaPXo0QiguLq5duZaWlsn/0tHR6SYwDMPc3d0NDQ0RQomJiczyr1+/EgiEqVOn9i28tra2jnV1U0s3EQK+hZ+kQggJCAiEhITIy8uvWrXq+/fvqOs9PyUl5du3bzNnzgwICMjLy9PW1u54vzne7/TOnTvMEvwqIBPe87murg5fzM7OZj7Vw4bZkzAQQsuXL5eUlAwODn769OmMGTN69dqO8Lbc1SfTVY3dr99ON28/Ojp65MiRc+fO3bdvn7GxcXBwMP5btlfb5x2QCNmirq7O39+/oqICX8zPz/fw8AgLCxMXF1+wYMHEiRO3b98eExNDo9Hq6+tTU1PxfejmzZsVFRUnTpx48+YNM7VQqVSEUEtLC0Jo4cKFurq6GzZsuHPnDpVKbWlpuXDhQllZWacxUKnUjvkpOzubRqNNmjRp9uzZJ06cKCoqQghhGBYUFLRz584xY8b0Njy8hURHRyckJOAhMaPtphY8PHw1Vh1LAJ/AO2cxs5GSklJISMiPHz9WrVrFYDC62vPfvn3LHLCJQqEICgrix1Ks++GYMWNmzpx5+PDh27dvNzU1PXjwAP+dx9zZ8DMWJ06cKCsre/78+YULF5jP9rBhdhVGO+Li4qtXrz5z5oympibzFEhPXttNW+7+O6Fjjd2sz/qh4bp5+y9evEhPT/fx8Vm6dOnIkSM/fPjQ3Nzc/fZ5GucvS/KDFy9ezJ8/X0lJSV9ff/HixS4uLqzXnGtra93c3DQ1NWVkZExMTG7evNnY2GhtbU0ikebMmfP169clS5ZIS0v/+eefN27csLCwQAgtWLAgPj4ew7Campr169cPHz5cVVXV3t4+JiamqxjWrFmDEJKWlrawsJg9e/a0adOMjIxIJJKPjw+GYRQKxcPDw8jIyNXV9cCBA6Ghofi1+l6Fh2FYfX395MmTSSSSu7v79evX8aM9ZrRd1bJ//341NTUCgbBu3Tq8c9r79+8RQhYWFnFxcez7vwDedOPGDfzbX1paeuPGjcyuFu7u7gihWbNm/fjxo9M9/+7du2ZmZpMmTXJxcXF2dsZHOLpx40a7/bCiomLlypUKCgpkMvngwYN4Z5mpU6feuHEDwzAGg+Hu7i4rKysnJ7d161b896uhoeH169d72DA7DaNTHz9+FBISYu2M1pPXdt+Wu/9O6Fhjp+szPzRra+u///4bX7Obhh8ZGSknJ8eaShQUFPDuPz3/juIdBKy/h/IDoA8wDGMwGPgvUE6O2QF4GYPBwPcKAQEBuIrMO1pbW3fu3Ilh2NatW5WUlFpbWxMTE5cvX+7q6hoQEMDt6PoCOssAnkAgEFh7+gGAEBIQEIBfRTwoKioqJCTk58+f+CAhYmJiNjY2kydPZh0zZGCBnQwAAEAvNDU1ycrKsqY9BoORn58/c+ZMLkb1KyARAgAA6IW5c+c2NjbiN+AjhDAM8/HxmTNnjpWVFXcD6zO4RggAAKB3Pn786OXlpaCgICUlRaFQTE1Nly1bNnCv40IiBAAAwNcG6rXNjnJzc6Ojo7kdBRg8zMzMmCOng56ANgj6UX19vaqq6saNGzlQ1+A5IvTz8wsLCxu4J6kBT3n//r2EhERoaCi3AxlIOm2DYmJi48aNGxhz8QBeEhcXV1tb+/XrVw7UNXiOCBFCpqamzFF6AftkZWVt2rSpoKDA2Ng4NDQ0Ly+PdZE5SGlzc7OgoCA+ftWAExIS8vDhQ25HMfB0bINUKvX9+/fQMEFvVVZWJiQkcKYu6DUKei0pKenBgwf5+fk1NTW3bt1qt4gQSkxMHDt2rIyMjJSUlJWVVU5ODrdDBlwjKio6fvx4bkcBQHcgEYJeW79+vZSUFIlEMjIyUlZWbreYn59vb2+/a9cuCoVSXV1tYWExf/78rkYrBgAAroNECHpNTEwMIVRbW0uj0ebOndtuEZ+TxcHBQUhIiEQieXp6amlphYWFcTtqwB2tra34QLIA8CxIhKAv2traTp486evri4+Lxrr45csXfOIbprFjx+LDHAM+1NbW1tjYyO0oAOgOJELQawwG459//tmyZQs+A3C7RS0trXZHAO/evVNTU+NOrIDbxMTEjI2NuR0FAN0ZVL1GAWds3br1+vXreD/AESNGjB07lnXx7Nmz5ubmkydPXrhwYVtb24kTJ7Kzs2/cuMHtqEGXPnz48OHDBxMTE3yS8X7HOuk5ADwIEuGgkpubm56eLisrO3XqVBKJhBAqLS3dtGlTaWmpgoJCZGRkTU0N66K4uHgfagkKCgoKCmpXwroYFRW1efNmfEpVc3PzuLg4/GAR8IjCwsJdu3ZJSUkdOnTozZs3dnZ24uLidDr90KFDu3fv7t+6aDTa169f2ZRiAfh/7J15XEzf/8fPTNO072na932naEGbFKJNkmxZik9SQiqifBCpD8oSspQlSRGyhGSJNqJ9U9oXlTbTNDUz9/fH/fzmM9+EllmSeT48PDpn7j3nfZvmvuee836/3lSB3kujEARRVlvu6upKS0vLzs6GqxszGTcQBHl6epqamiYnJx89elRVVfX169cAgFevXl26dOndu3csLCyZmZnDmjQyxszMrKCgoK6urq2t7enTpyoqKjSaiMn42LhxY21t7fTp0w8ePHjkyJHk5OSenp7e3l5+fv6UlBTqzjU0NNTe3k7dMZkwoS7/PhEWFRU9fPjw54ciEAhnZ2dZWdmJzIfD4bi4uDIyMszMzF6+fOng4NDX1ycpKQkAOH78uL29/UQG/5OJjo7OysoqLS3l5+cHACQlJS1fvry0tNTV1RUAAEHQtGnTDAwM4FfJTZqaNKyANZPJQ3Z29ps3b3R1dXE4nKOjI/y5Q6FQmzZtGk3me3R0dEZGxvf9+fn537/pHBwcampqVDGbCVUYpSDGH8W/jrCxsbGmpuYXh6JQ7e3tE3SElCWstm7damxsHBsbKywsTCQSIyMjMzMzmeqO4yM1NXXPnj2wnwMAODk5nTlzJj09fenSpTk5OVeuXOns7GxsbOTn5x/WpK4ZJBKJSCSiUCgSiQRB0O9bqHNqIywsDL/1HBwcIiIiBAKB/E4VFxf/8nR1dfURqyiXl5d3d3cP60QgEFT/M2MyEWAFDFZW1vnz59+4cQOHw1E23d3dAQC5ublXr17t7OxUUVHZsmXLlP9S++9f/8KFCxcuXPijg96/f19TU7Ns2TIqzEdxZ6ypqblz5w78K2ZhYfH19fX19WU6wvHR2dk5bdo0yh5hYeG+vj4AgIGBgYGBwbVr13x9fZ8+fTqsSV0ziouLTUxM2NnZAQDe3t5r1qyZ+JYkE6rj4+Pj7+8fHR0tKCgYFxdH7k9PT6+vr//l6aampqampt/33717t7GxcVgnkUj88uWLmJjYBG1mQi3c3d3h3F9YAWPevHmUTQBAbGysn5+fl5eXoaHh06dPNTQ03r17N7UDv0e1RxgXFxcSEkKV+QgEAvlnExMTyiYCgfj+U8RklOjp6VEubnd1db169UpfXz85ORnuERAQ+L5JdTNYWFhu3rzZ2tra2tq6e/fu77ckh4aGLl68uHXr1sDAwOzsbKobwGQ0+Pr6HjhwYFhyZ0JCwv379w8ePEjdufB4fG1tLXXHZDIRfi6IgcPhtm/f/uzZs+Dg4JUrV8bGxnp6evr6+jLaatoyqpWryMhIcnjLBCESiWJiYpGRkYmJiUgk0s/P7969e/BL1dXV36+rTITq6uorV650dHQoKSlt2LCBh4eHioNPNvbs2TNjxgwSiWRra9vW1nb48GEnJydNTc3Hjx9v3LjRxMQEriJ9/PhxyibVzcDj8TExMUeOHOnp6blx48awHUosFjtnzhweHh4HB4fOzk47O7vt27dTPUyRyS9BIBDKysrDOl1cXFxcXKg+Fxsbm7y8PNWHZTIRfiKIUVRUJCkpqaOjQz7Yzc1txowZjDOWHozKESIQiIMHD1LloZCDg6O5ufn7/tzc3MePH0dFRU18CpjHjx+vXr3a1dVVTU0tPT09IiIiNzdXXFycWuNPNiQkJHJzc0NDQ/39/Xl4eDZt2rRhwwYAwM6dOykPG9akOtLS0qdPn8ZgMEePHg0JCblx4wblluStW7fk5OTIJevc3d1nzJhhZ2enqqpKU6uYMBAWFhYMBsNoK5j8x88FMdjZ2YfF8OPx+CmfCfqfI5w9e3ZbW9uIBxEIhJaWFmqtjo7IrFmzWFhYSkpK1NXVJz4agUBwc3O7c+cOvOPo5eUVFBTk6+s7tRUvZWRkzp07x1gbyJvqNjY2ubm54H93KAEAW7duJR8sIyMzf/78V69eMR3hFAaCoO7ubgEBAUYbwuRffi6I8ezZMywWm5KSAscSw0tHtra2DDaaxvznCCUkJLZs2cLLywsAOHHihLq6upWVFYFAqK2tvX///okTJ2htSlxcXHp6+i9Dcvz9/ZOSkr7vb29vh9MwAAAlJSW8vLyUcTebNm0aJoDJhBakpqYuXrwYAFBWVrZu3brk5OSlS5eC/9+S/PDhA+WuMAAADjFljK1M6AIOhysvLzcyMmK0IUz+hSyI0dHR8e7dOyKRGBgYKCoqCgBobGx0cnLi5uZevny5vb29gIBAYmIiHo83NjbGYrFTONjtv3vQrl27yNETERERx44dI9+hHBwc/v77b1on+Y1yJ9LLy8vZ2fn7fh8fn66uLvhnFhYWEok07AAEAjFxI5n8nK6uLn9/fxkZGRkZGRsbm4iICMotybCwsPPnz9vb2yORSABAeXl5enp6WFgYo61mQkPQaDRzaXQSEhcX5+vrq6uri0Kh8vLyQkJCfHx84Og2QUFBa2trMTGx+vr6qKioFStW2NnZZWZmWltbM9pqWvGfI6SMIVRUVKT8ni4lJfX48WNam4JAIEbzcCAlJTViIC8fHx+cLQAAUFVV/fbtW3p6+rx58+CeqKio3+VdhCAoKyursrJSRUXF0NDw9/Lfq1evpmwO25LcsWNHWlrajBkzbG1tOzs74+PjQ0NDmZEUo4SKWUz0BIVCMd/iyUZxcbGvr++zZ8/gKJiqqqq5c+dOnz6dHN0mISEREhJCT/0NxjKy49HT08vLy4PrSg8NDR08eBBeMqU1ly9ffQviCAAAIABJREFUXrdu3cTHQaFQcXFxzs7OLi4uEhISb968qaqqop2iGBVpa2uzt7dva2vT1tYuKCiQkJC4c+fOsATB0UMkEnE43OSRimBjY8vIyLh9+/bbt28xGMybN2+osiX8hzDKvYNJCB6PZ2NjY7QVTP7jyZMnzs7O5FhQJSWlrVu33rx508TEhJ76G5OHkR3h+vXrXVxcWlpaeHh4iouL+/r6EhISqDLf4ODgjyRshoaGkpOTqeIIAQDW1taFhYXx8fH19fVOTk6urq6/xUfRw8Nj+vTpUVFRKBSKQCB4eXm5u7uPQ/6xra1t27ZtKSkpSCQSg8GEhobSIjJ+HCCRSCcnJycnJ0Yb8vtBxSwmetLf319YWGhoaMhoQ5j8R0dHx7Cv1xgMprS0FNBXf2PyMLIjZGNju3Xr1osXL/Lz811dXS0tLaklK4DH42fNmkVew6QpEhISfn5+dJiIWgwNDT158qStrQ1eIkahUBEREUJCQr29vWN6IicSiU5OTsrKyo2NjQICAs+fP1+9ejU/P/+CBQtoZjsTmkPFLCZ6gkKh6LOexIQMBEEZGRk1NTUSEhKWlpbfJz/o6upGRESEhISQpfJSUlLMzMyGRbcNa9L5KujJD/fkUCiUpaWlpaUl3Lx+/frKlSsnPh8PD4+bm5uPj4+CgsKwl4aGhmCZuz+Wvr4+FhYWypVMbm5udnZ2LBY7pltJcXFxY2NjRkYG7FAtLS2PHj0aFhY2PkeYkZFx+fLlL1++KCkpbd++XU5ObhyDUBccDnfy5MnCwkJeXt6lS5eSd4KnAIzNYqIFaDSauQBOT3p6epYsWdLe3q6pqVldXe3v75+amiotLU15jKOjY2RkpJ2d3datW7m5uWNiYmpraz09Pc+cOUNP/Y3Jw/84Qjwev2XLlr1797558+bVq1fkfiKR+OLFC6o4QgDAli1bXr9+/b0jZGVlhSPvacRk2zD7HkFBQRERkZcvX5qbm8M9z58/5+LiGmvQXVVVlbq6OmXkka6ubkNDw+hHqKysPH369KdPnwgEwsePHwMDA5WVlTMyMvT09F6/fq2hoTEme6hLb2+vkZGRqqoqrKHj5ubm6ekZGBjIQJOoCMOzmGgBBEG/V8zXb822bdvU1NRevHgBx2YfPnx41apVlPdzAAAKhXry5Mk///yzd+9eIpFoZWWVmZnJyclJZ/2NSQREAewI6+vrL168OGPGjK1bt/r4+Pj4+Hh5eamqqkLUo6enh4qjwSxatEhbW3vEl75+/bp27Vo0Gg0AkJeXv3fvHtVnpxa3b98WERE5derU27dvo6Kipk2blpSUNNZBCgsLZWVlh4aGyD1XrlyxtLQc5elPnjzh5+ffuXNnbGwsGo3m4eHJysqCXzp16pSFhcVY7aEuO3fu3LhxI7lZX18vJCRUU1ND3VkuXbq0fPly6o45GvLy8sg/m5qaUr6JtbW169evp79Jo2fEzyAOh8vJyWGIPX8mwsLCDQ0N5CaRSBQQEKirq2OgSeNj/fr10tLS9JkLjNjb0NCQmZlJ2ZOYmEgXe8bPjxwhkUi0trZev359W1vb4ODg06dPxcXFX758SX8LR8mLFy8cHR1nzpy5dOnS8dlJJBItLCw2bNjQ0dFBJBKfPn0qJiaWnp4+ytPl5eXv3r0LQdCHDx9UVFSuXr2qpqYGv9Te3s7Ozj4Ok6iIkZHRsGuxt7e/cuUKdWdhlCOkZMOGDZRNIpEoLi7OKGNGw48cYW5uLkPs+QMZHBxEo9FYLJayU1ZWtri4mFEmjRt6OsKR9wglJSVhlZbOzs5Hjx7p6+v/jkHbMKWlpeXl5ampqeQNsyNHjhw4cGDSRkD9qMbN6EEikTdu3PDx8ZGUlEQikSIiIseOHbOwsBjNuR0dHV++fIHXqHl5ebu7u1esWLFx48avX78KCgr29fXBWvUMhIODY2BggLJncHBwSmohMiqLibqws7PDl8CEDrCysmppaT169AgOcgEAfPjwobe3V1FRsbKyMicnZ9q0aSYmJpycnIy1c7IxsiNcs2aNmppaYGCgg4NDc3OzoqLi1q1bbWxs6GwcVSgvL9fQ0Bi2YbZ//34GmkQHREREbty4MY5tUXZ2diKRSCAQ0Gi0nJwcHx/fmTNnIAhiY2MjEol79uxheOaDhYXF6dOnrays4Pc0Nzc3Nzf34sWLjLWKFtAui4nJFCYyMtLBwaGurs7IyKioqOjAgQOnTp3y9vZOTU2dNWtWd3f3pk2b4uPjZ8+ePeLpeDy+srJSWloa1uD+QxjZEbKzswcGBjY1Nb1+/bqgoEBLS8vT0/M3dYQKCgqVlZUkEgneOgYAlJWVTe0ik2SGxaCOBm5ubn19/ZMnT+7YsQOBQNy8edPMzIyXl9fHxycvL4+Pj+/Bgwc0snaU+Pn52dra6unpWVpadnd3p6SknDt3DlZKnGLQLouJngwODlZUVDCVfunG7Nmznz17FhoampCQICEhce3atcLCwoKCgpKSEjgjPikpafny5SUlJcNcHQRB+/fvDw8PFxQU/PLly7Jly6KiogQFBRl0HXRlZEcIhyneu3dPQUFBS0sLgUD8vkFf2traYmJifn5+hw4dYmdnf//+/a5du86ePctouyYKgUBobm4WEhKiuhLuhQsX5s2b9+DBA11d3dzcXEFBQX9///7+/lWrVpmamjL8LwGNRj9+/PjJkydZWVny8vJ///23hIQEY02iHTTKYqInRCIRi8Uy2oo/C21tbcrFg9DQ0N27d5N1YZycnE6fPp2RkTFMPvr48eMpKSkfP35UUlLq7u729PRct27d3bt36Wo6gxjZEQ4NDW3atOnevXseHh4IBKKtra28vJzOllELFhaWW7dueXh4CAgICAgIDA4Onjhx4ndPLQ8NDQ0NDRUQEPjy5Yu9vf2pU6fGLcP2PcrKyhUVFXfv3m1sbPT29razs5uEojxWVlZWVlaMtoIm0CeLaUTq6+sTExOpGzTPwcGhp6dHxQGZjJXOzs5hD3bwfv+wwy5fvhwdHa2kpAQA4Ofnv3jxooSERGBg4PPnz3t6erS0tPbu3autrU0/u+kIcsTegwcPzp0798iRI0FBQRUVFWfPnoXFWH9TMBjM3bt329racnJyvnz5smrVKkZbNCGio6OvXbv27t27hoaGjo4OTk5Oqt8cOTk5V6xY4efn5+zsPAm94NQGgUCws7MjkciBgYG8vDw0Gs3+/1CrZFVLS4uTk5OYmJi5ufmtW7fI/TU1NbQQY5qSoUy/EXp6eg8fPiQ3Ozs7MzMzv1eK+fz5s4qKCrnJwcGBRCJTU1MPHjyYnJysr69vYWFRUVFBJ6Ppy8ifKxQKZWdn193dzcrKqqKism/fPoYviE0cXl7eSRV0RyKRmpubxcTEyCpHo+Ty5cuRkZFwMVseHp5z587JyMiUlZWpqanRxlImdAWNRp86dQoAYGVlpaKiQhnUQOm0JoKnp2dOTs7evXvRaHRCQsKrV6/++ecfONF2NDQ0NIx4Q4TTdYZ1Dg0N1dXVKSoqTtRoJuMlKChoxowZBALB1ta2paUFVh7+/nahrq6el5e3aNEiuJmfn//169e3b98qKysDADQ0NBAIxJ49e0YsB/vbM2JSxe3bt9nY2JydneFmYmLio0eP6JPPMW5+klA/2SAQCPv37+fl5eXn5+fm5g4MDMTj8fBLWCzW399fQUEBg8EsWrSopKTk+9MFBQWdnZ3V1dWnT58eEBDQ09NjbGz85MkT+l7EFGcy5BGS6ejouHr1allZGbUG5OXlvXPnDrn58OFDV1fXvr6+jIyMH90TKPHz89MbCT4+PklJyWEHY7HYt2/fUstyJuPj8+fP7u7uRkZG1tbWMTExRCLx+2Nu3bolIyOTlpaGx+MLCgo0NDRkZGQoD/j48aOioiKdLJ4MeYQXLlzIyckhP007OTm5u7v/7vtqk4eDBw+mpqYWFhbKyMi0tLS4uLgEBAQcO3ZsaGjI0NCwrq4OiURKS0uLi4tbWFhkZWVRynt2dXVhsVgcDnf9+nUcDhcREWFjY1NWVsb8xj31oF0WEw8PD6Vu38KFCzU1NXfu3EmOyvk5R48eHbHfxsamsbFxWCcHBwdzrYLhyMrKnj9//ufHODk54XA4b2/vT58+iYiIWFtb5+fnUx7Q0tIiICBASzMZx4juMSwsDIKg4OBguInH46WkpOjjmcfNb/REiMFgKIUempubOTk5+/r6Nm7cyMbG9vTp09bW1sTERHFxcVdX1zVr1lCee+jQITMzMwkJiQcPHuDxeFh4GlbFZUJFJsMTobu7OwRBsGspKCggkUibN2+myshBQUE2NjaUQlwQBHV3d9vZ2f3onjAafqPP4B/L0NDQt2/fRnNkf3+/goLC2bNn4WZra6uWllZ0dDQtrfsfGP9EyM3NTSQS8Xg8AGBoaGjbtm1TMk+LIfT19X39+pXyO7KYmBg/P399ff2VK1cWLlwIfytftmwZDw/Ppk2bREREKE//+PHjunXr0Gj0jh07ysvLBQUF1dXVjYyM6H0ZjODt27e5ubkcHBzz5s37E56AaZfFFBwcnJ6e/vjx440bN5I7+fj4bt686eXlRZUpyBCJxC9fvoiJiVF3WCZjpbGx0cfH5+HDhwgEQlJSMiwszMHB4SfHc3BwJCcnu7q6njlzRkBAoLS01M3NbdOmTXQzmJ6MHDVqYmJiYGCQlJRkZGTEz89/7ty5qV2Dg57w8PAICwuXlZWRe5qbm3t6erBYrJCQ0NevX8n9pqamDQ0NwsLClKeLioo2NTW5uLiUlZV9+/ats7NTWVl5rOUpenp6AgICVFVVZWVl169fP6bCFNRlYGAgKChISUlJVFR04cKFRUVFIx4GQdCqVauWL19eVVX19u3bmTNnToFM0F8CZzH9/fffK1eupG4WEwqFsra2pvSCMGxsbDExMVSZggwej6+traXumEzGyuDgoIODg6ioaEtLS19fX2Rk5KZNm16+fPnzs3R0dAoKCs6fP79z586CgoKjR49OgajJEfnhE+H58+czMzOLi4tNTEycnZ2ZmUBUxMfHx83NLTY2VkNDo6qqasOGDd7e3oqKij09PQ0NDXFxcWvXrgUAZGdnI5FIT09PynMdHBxWrFhhZ2enrq7OxcWVlpb24MGDAwcOjH52AoFgY2MjKSl58+ZNNBp97do1Y2PjDx8+DPO49GHt2rX9/f3x8fG8vLzp6emWlpaZmZlwJhMlly9fLikpKS8vh9UDysvLZ8+ebWpqOrU3nw4ePJiQkGBsbOzq6lpRUZGQkPA7ZjGxsbHJy8sz2oo/nXfv3mGx2GPHjkVHRz948KC/v19TU/PgwYO/lDVGoVAGBgb0MZKBjOwIdXV1bWxsrl+/Tmdr/hD8/PzwePycOXOGhoaQSKSXl1dISAgajTYzM+Pg4Dh8+PDhw4d5eXk/fPgwb968JUuWUJ5rbm6+b9++2bNnKysrIxCIpqama9euDau6+XMePXqExWKvX78Op20cOnSopaUlPDw8LCyMytf5KwoLC7OzsysqKtjZ2QEAKioqfX19e/fu/V5RMyMj46+//iJr6MDFCB8/fjy1HeHUyGJiYWEZ64oFE6pTVVWlqam5du3axsbGXbt28fHxnTx58t69e7CYPqOtYzwjL40GBAQM+6ZA/7vkFAaJRO7bt6+rq6upqam3tzc0NBRO4YqNjcXj8fDqaEVFxdq1a0cU9vT09Kyurv7777/DwsIqKyvHGs1bVFRkZmZGmbxobW1dWlo6sWsaD0VFRXp6erAXhDE1NR3REhwON0wvn4ODY2hoiOYmMpQ7d+5MmzaNrPOSlJT0+PFjxpo0DiAI6urqYrQVfzoqKip5eXk5OTlPnjyxtbU1NTW1tLSUkJA4dOgQo02bFIz8RNja2hobG5uUlASvaRAIhBcvXvj7+9PXtqnPMNHbadOm3b9/v76+vra2Vl1d/SdrlYKCgtbW1uObVEJC4uPHj5Q9jY2NVFRoGz3i4uJNTU2jsWT27NkJCQnwVhkAoKur6969ezdv3qSToQxiamQx4XC48vLyPySea9Kir6+PRCJZWVkHBwfZ2NiePHkSHBzs7++fkpLCaNMmBSM/EZaUlKipqampqVFd24nJL5GWljYxMaHdjp2VldWLFy/Iz5olJSUREREbNmyg0XQ/wcDAoKurixydUV9fHxQU9Ndff31/pKenZ3Nzs7W19aVLlyIjIw0NDW1tbX9UR2bKYGpqqqOjAwdvAwCGhoaePHnCWJPGARqNZi6NMhwUCrVr167e3l4xMTEeHh5vb++zZ8+KiopOKrEtBjKye3N3dx8mtUwtbScmDEdMTOzq1avr168XEhLi4OCorKwMDQ1liFPh5OS8c+eOi4tLaGgoLy9vfX397t27R6x3yMbG9vbt23PnzqWmpnJxcR05cuTnkd9Tg6mRxYRCoZjBMpMBOzu7vXv33rt3z9jYmIuL68uXL2ZmZkFBQYy2a1IwsiN0dnYe1vP7Vqhn8j3W1tZVVVUlJSV4PF5TU5Ncn4X+aGho5Ofnw1VnVVVVhyVNUsLOzu7j4+Pj40NP8xgLnMXU09Pz4sWLwsLCgYGBR48eMdqo8YDH45nS7QxHVFQ0NjZ2zZo1WlpanJycWVlZ69ev/x3jkGkBc8HzD4WTk3PmzJmMtgIAAFhZWadPnz7BQWpra0NDQ4uLi3l5eZ2cnNavX0+uw/z7ws3NHR0dnZWV9VtnMfX39xcWFhoaGjLaECZg0aJFFRUVL1++7OvrO3HihKysLKMtmiwwHSETBkMkEpuamgQFBbm5uUdzfH9//6tXr9rb2w0MDGBd/IaGhpkzZ65bt+7o0aOtra2hoaGFhYVRUVE0NpzmTI0sJhQKxdyImjzw8vIOy8hiAn4ULAMA6OvrIwuOQBBEL3uY/FkcP35cUFDQ2NhYSEjI3t6+tbX158e/efNGTU0tLCzs9u3b5ubmmzZtIpFIBw8edHd3P3r06Jw5c5ycnJ49e3bz5k2GJIRQl6mRxYRGo9XV1RltBZOJgsViCQQCo62gFSM7wqmRwMRkknPz5s3Tp09nZmY2NjZ+/fpVTExs1apVP/nW9e3bNxcXlzNnzmRkZNy5c6e0tLSoqCgyMvL9+/fkImoAAEFBwblz5757944uF0FDWltbjx07ZmVltXnz5s2bN2/cuJHq+mf0gflN+veisbFxxYoVkpKSsrKyHh4ed+7cUVNT4+bm5uTkXL58eVtbG6MNpD4jO0I4gUlXVxduOjk5Tc1ijEwYyvnz5yMiIrS0tAAAXFxcJ0+e/PTp04cPH350fH5+vri4OLkOER8f34EDB+Lj44dptAIAvn79ysPDQ1Pj6cDUyGIaGBjIy8tjtBVMRkt3d7eJiYmiouKTJ0/u37/f1dXl7Ox8+PBhPB7f2trKx8fn4OAw9bQsRv5cwQlMd+7cgZtUT2AikUi5ubm1tbWdnZ38/PzTpk2bOXPmlK10xeQHVFdXq6iokJsoFEpZWbmhoWHGjBkjHt/R0TFMDkpAQKCvr2/NmjXh4eHz5s2DNdiSk5MrKystLCxoajwdmDJZTL+jMtwfy8WLF42NjcnyxXx8fHJycp2dnWg0WlBQ8OzZs7NmzUpLS1u8eDFj7aQuDCjD9OHDBwcHh/b2dnl5eR4eHlZW1r6+vra2NlNT05iYGLKeJJMpj4qKyrt378h6of39/cXFxT+przRjxoy8vLzOzk4hISG45+7du/r6+lu2bCkuLlZVVdXX1+/q6qqpqUlISBim2vM7MjWymNjZ2SdJfDKT0VBUVESZVVxRUTF79mzyjjsSidTR0fn8+TMVZ2xvb3/37h0vL6++vj6j0mxGdoQ0TWDy9/c/c+bM/PnzWVlZyZ0QBGVnZwcHB0dERFBrIiaTHF9fXzc3N15e3gULFnR2dnp6ehobG2toaPzoeFlZ2VWrVllaWu7evVtMTOz+/fuXLl16//49Eok8d+5cZWVlTk6OsLCwqanpMGFSGDwe//Lly5aWllmzZk1ttW4mTMaNhIQEpfChgoJCZWUlZaBpWVkZFeNODx8+HBYWpqam1t3djcfjr1y5MmfOHGoNPgZ+VLG3pqYmMjLS3d19165d7969o2It4F27dv3opcDAwHEPy6yO/Tty+/ZtDQ0NBALBz8/v6+vb29v78+OJRGJMTIy1tbWhoaG7u3tNTc0oJ8rLy5OTk5szZ46Dg4OUlNTq1asJBMJPjp8MFep/O0b8DOLx+MLCQobYw2QcfPjwAYPBfPjwAW4eP34ciUQmJSVBEITH44ODgzU1NXE4HFXmun37trS0dHV1NdyMj48XFRVtb2+Hm/SsUD+yIzx69OjWrVtra2vhZkdHx61bt6g15fbt28mXSklZWZm9vf24h2U6wt+Xb9++kUgk2o0/MDAgJycXExMDN/v6+ubOnXvgwIGfnDI5HWFYWBiRSKTpFJcuXRr3uSN+Bvv7+7OysiZmFBO6cvPmTWFhYQ0NDVVVVQkJiYCAABEREQwGw8nJaWpqWlFRQa2JVq5cefbsWcqeRYsWxcbGwj/T0xGOvDT6zz//vHv3TlJSEm7Ce6QjikCOg23bttnY2PDy8kpKSnJxcQ0ODvb29paWljY0NNy/f58qU/w53L59OzQ0tKioSE5ObsuWLZ6enpT1lSjp6uqKj49vamqSl5dfuXIlBwcHnU39CbTeGC4pKUGj0eSC7Nzc3EeOHNm4ceMkF1qsqKjYv39/WVkZHKRHIBDq6ur8/PwmOOzg4GBNTc2ILw0NDSUnJ69bt26CU1DCwcHxOwriTAVaWoCY2DjOc3Z2XrBgQXFxMQsLi6amJhcXV2hoaFNTEzc3N3XlGFtbW8XFxSl7JCUlh0WA04cfFuYle0GY6upqak0pJSWVnZ39+vXrvLy8trY2FAolKyvr6OhoY2PDjJQZE4mJidu3b79w4cLMmTM/f/68efPm1tbWEQuMFRUVWVtbGxkZKSoqJicnHzly5OXLlxISEvS3mSF0dHQMq+4kJCTU19fHKHtGycqVK3l4eHx8fEapuTNK8Hj8rFmzJnL5/v7+I+ZTtba2jljllTIagAn9mDMHpKQALa1xnIrFYm/fvl1aWsrPz+/i4mJrazvMI1AFXV3d58+fk3cc8Xh8RkbG8uXLqT7RLxnZERoZGX369AmO3yORSKGhodStV4dAIExMTExMTCg7379/X1NT88u4uPT09BFzpeGFZioaOfkJDQ29fPny/PnzAQBCQkIPHjxQUFDYsWPH9zcje3t7Pj6+wsLC3t7eHTt25Ofnu7u7kwvdTXl0dXWLiopaWlrE/v8LckpKir6+PmOt+iUNDQ21tbVUf3bn4eFxc3Pz8fFRUFAY9tLQ0JC7u/svR/Dy8vo+ohUA4OPj830N3qGhobq6up8EAzOhFY6O4PJlcOzYWM9ramqaMWPG0qVLPT09GxsbfX19CwsLabF8sn379unTp/Pw8Dg5OXV3d4eGhqqrqzMk8WlkR+jr6+vq6srFxcXGxvbu3bvq6mo6KMvExcWlp6f/0hHW1NSMuLCDw+F+tCo42RgcHExISKisrBQSElq2bNn4vmpBEFRWVmZgYEDuwWAw0tLSNTU1wxzhmTNnamtr4+PjdXR0cnJy1q9f/88//+zbt+/PqQkgIiKyZcsWS0vLoKAgaWnpR48eRUdHZ2dnM9quX2Bvb9/Q0ADrqcI8f/6cKreJLVu2vH79+ntHyMrKOpr8MCkpKSkpqe/7+fj4vn/QHBoaam9vZzpCBuDmBiwsQFgYGOMTeXBwsKOjo7W1NRcX15o1a2xsbHR0dNasWSMtLU1dA8XFxTMzM/fv3+/i4sLJyblkyZKJr/yPD8SPnqJwONzNmzfz8vKEhYVXrlxJ+WmkERAEEYnEcWtn2NjYNDY2FhQU/E8vkQgePgTi4kBZGUwOqZGuri5jY2NhYWErK6vq6uq7d+/Gx8cvXLhwHEMpKiomJSWRBYAGBgZERUVLSkoo1zwhCBIWFiYSid3d3XBPRkaGm5tbU1NTb2/viGkGUxIIgq5duxYfH9/d3a2mphYYGKikpPST4y9fvpyWlpaQkEA3C78nJibm9u3bS5cuhT8UBAIhLi7u9evXVBm8t7eX6lrYI34GIQjq6elhYKmvPxpdXXDo0G08/sKFC1+/flVXV9+3b9/Pi07AdwwCgTB37ty2trbW1tYbN24cOnRow4YNTk5OnZ2deDx+2MYejdiwYcOzZ8/q6uroMNcPvQ4HB4ebm5ubmxvcPHr06M6dO2la2gaBQFBfQaqvD5w+DaqqQH09wGCAsjJQUAAKCkBe/t//6S5ns3v3blNT07Nnz8LN58+fr1q1qrq6ehwrYGvXrvX29r516xYGg8FisV5eXvPmzRu289fY2IhAIAQFBdPS0qytrQEAZmZmzc3N06dPn4ReEIfDFRcX06JKIgKBWL169erVq6k4Jq2JiYlpb2+PiYmBlVkIBEJFRQW1BqdbRQg4N4Y+czEZzurVZbt378bjd+/ejcFgsrKyDAwMMjMzf/It8OLFi3g8/tq1a/b29gCAxMREV1dXCQmJ5uZmfX39yspKNjY2WBBxSlWxGDGWtLy8fMWKFbq6uhoaGhoaGioqKuzs7DQNcIeheuj2fwwOQlVVUFoadOYMtHMn5OAAaWtD3NyQoCCkrw85O0O7dkGnT0MPHkAlJRAWO24zfomSktLHjx8pe6ZPn/7ixYtxDDU0NOTp6cnFxaWlpcXDw7NkyZLv81JwOBw7O/vjx4+FhYX9/f2vXbu2YcMGBAIxzIbJQGZmpqysrJKSkqamppCQ0ET+GEZJfn7+okWLREVF5eXlt23b1tXVRX5pMqRPhIaG9vT0UPYcPHiQUcaMhhE/gwQCobm5mSH2MOkpL8ciEE0lJRAEEQiEu3fv2tra6ujofP36lfIwIpF46dIlJycnGxsbJSUlR0fHBQsWDAwMwK9cvAjVAAAgAElEQVRqaGjw8fFJSkpGRUXB2TuPHj0SEhIqLi6mqfGMT5+gUbgaoHvo9n+wsgJFRfD9RkVbG6ip+fffu3cgMRF8/gyamoCgIJCVBTIyQFYWyMkBeXkgLw9kZQEaPUFDCATCsAdfVlbW8dU3QaFQp0+fPnjwYF1dnaio6IgyeOzs7FZWVikpKZmZmefPn09JSSkpKVm+fLmOjs44L4A2tLe3L1u2LDo62s7ODgBQXl4+b948RUXFuXPn0mjGqqoqeNfw7Nmz3d3dBw4csLe3T09Pnzw7zYGBgQAAEonU19cHK8bt2bOH0UaNGTweX1tbKzauOH4mE+RDaysbL6/hmzfd4uIWFhYkEklPTy8tLU1FReX27duKiop79+59+vTply9f2NjY4P2CjRs3Zmdn6+joaGtrz5kzp6Ojo7q62srKikAgbN26FR52wYIF3t7eJ0+eJK9s/e6M7AhpFK4GqBG6TWUwGIDBACOj/+kcHAR1deDzZ/D5M6ipARkZ4OJF8Pkz6OkBEhL/OkXYraqoAGVlMJZflLGxcWxsbHh4ONzMycmprKycSASjgIDAz/XKL1y4sHz5ciMjIzY2tr6+Pn19/UlYzefZs2ezZs2CvSAAQFVV1d/f//z587RzhJGRkR4eHr6+vgAAKSmp+Ph4XV3dtLQ0yopOjAWPx+/evfvcuXNYLFZKSiokJGTdunW/nYA1GxubvLw8o634QxEQELjGzm4YH++Xm6umprZixYr29vbnz58fPXrUzs6OQCCws7PDSjEbN26MjIwsKChwdHR8+/atpqbm3r17c3Nzubm5s7OzpaWlh+XAqKmp5eTkMOq6qM7IjpB24WoTD92mB2g0UFIC3y+jd3X99/j46RN49gxUV4OmJiAlBZSVgYoKUFUFyspAWRn8OLwqPDzcwMCgqalp7ty5zc3N0dHR0dHRNFWIRiAQdXV1RkZGUlJSbGxsSUlJt27dotWT93hpaGgYFogoJSU1YoIHvIyTnJzc29urpaW1e/duGRmZccxYWlq6Y8cOchOFQs2ZM6eiomLyOML9+/c/f/48KipKTU1tYGDg7t27iYmJDMmymggsLCwYDIbRVvyhqKurp3FxHcrOzszOrsDjExISIAhiZWVNTEzs7e0VExM7d+5cVFRUX1+flZVVdna2p6dnSEhIYmLizZs3lyxZoqKism/fPnt7e1NT06ioKMqRc3Nzp9L3m5Edob6+vo+Pz7BwNWqld0wwdJu6EInE2tragYEBRUXFX+cSCAgAPT0wTCYDjwefP4PKSlBWBvLyQFwcKC8HROK/HlFNDWhoAC0toKAAUCgAgJiYWGlp6YULF968eSMpKZmZmamqqkqz6wMAgD179jg4OJDVzGFtaxsbGxEREZrO+0v6+/svXLiQl5cnLi4uJyf39u1bEolEDsh68eLFiJXNt2zZkpubC2/+379/X19fPzc3V05ObqyzS0lJDVulr6mpGZbbyljKysqysrLY2dnhprm5eWRkJGNNGgcQBHV3dzOLrDEEFAp1+datW7NmLSMSU6dP//r1q6KiYkFBQXJysoCAwJw5cxYuXNjV1ZWXl7dgwQINDY2ioqL58+evXLnywYMHcDCBgYHBrl27REVF9+3b5+/vHxQUhEaj9+/ff+rUKSsrqyNHjmzdunUKCKGM7AhpGq6moqLyow0Daqm4jZKCgoLVq1e3tLSwsbERCIRTp06NxwA2NqCqClRVga3tf52NjaCsDJSVgZIS8PQpKC4GAwNATe3LtGn1vLwkdfXNrq7s27ZR8VoAiQQ+fwbt7aC7+99/PT2guxtgsQZ37ixcuBAEBAAAQH+/Ch5/G4UiLV4M+PhAdzeAIIDHg/7+f/+HIIBAADY2QI4pJZH+XUCGN02lpYGMDBASAuzsgIMDcHOPNUsJpr293cDAQF9f38zM7MuXL3v37hUWFnZzcwsMDOTk5IyPj09OTs7Pzx92VlVVVVJSUmVlJZwrOXfuXDY2tj179sTHx4/VgBUrVqxfv97ExERHR4dEIp09e7a8vHzyPA4CAGbOnEn2gjCfPn1ilDHjBofDlZeXGw3bfWBCLzg5OW+ws5/G4UpkZU+fPm1kZBQUFBQeHt7b24vD4QAAX7586e7u5ufnFxQU7O7uVlRUPH/+/IIFC96/fz9//nwIggwNDXfv3v3o0SM/Pz8MBoPH41Eo1Lp167S1tV+9ejVjxozs7Ozf/YvOyI7QwcFhy5YtlAHWIwp3jRu6hW7/hO7ubjs7u+DgYDc3NwQCkZeXZ2trKy0tPWvWLCqMLikJJCXB/Pnkjm9lZSHOzsL5+XMEBQWePMEfOsTKycmirg7U1ICKyr//lJRGFYzT2wvKy0FJCWhoAJ8/g+pqUFMDOjsBBwcQFwfi4kBQEPDx/ZsZIiqKQCBIJBIAAHByAnFxwM6elZHBa2kpOn064OMDSCQQEAAIBODn/9erkUigpwf09gIkErCyAiQSNDaCujrQ2AgqK0FGBmhs/M/RsrAAKSmgoAAUFf9NTYH//epL4u7du+3s7I4fPw43ly5dampqysbGtmjRIjweb2Rk9OrVq++fWQsKCgwMDCgVA+zs7NasWTPiFCQSqaqqqrOzE46qHfbqggUL9u3bZ25uLiIi0tPTIyIikpKSMqkC/Ts7O5uamuB8GAKBcPXq1ffv3zPaqDGDRqOZS6MMpKqqqkxEhLu9fTAjI4afv6amprKycnBwUEdH582bNwkJCZmZmQsXLkxNTU1PT9fQ0MjMzIQg6MWLF7DWqISERH19vbGxsaGhYWJiYmtrq7q6em5uLqyQ4Onp6ePjExAQcO7cOUZf6IQY2RHC4WqUmJub094YuvL06VN1dXXyVtnMmTP9/PxOnTp15coVWkznFxXVral5OD8f3nM+e/bs1fDw13v2IMvLQWUlePAAlJeD7m4gLf3vIxc////E4PT1ga9fQUcHqK4GtbVARgaoqgLYjy5e/K/v+YFiQGlXV0ZbW9zhw/DzfVZW1one3r/8/QEfX3V1dXZ2NrK9ffbs2f8jG/H/lW//haKO/HA6Ov6LKqqqAk+egJoaUF8PhISAggLQ0AD6+kBfH2hqDntwfPv2LeWvWktLS1tb287O7ueBPMLCwu3t7eRmWlrarl27Pn36NHv2bG9vb2dnZ3IsSWlp6dq1a+vq6oSFhZubm/fu3Uu5IwizefPm1atXFxUV8fLyqqioTJ54URgvLy9zc3NeXl4UCvXp0yc8Hk/FsqB0A4VCTaXNpN8OFRWVr93dDwQEEs3MQiUk4uPj8Xg8EolUUlKKjIzcuHFjQ0MDgUBgZWXduHEjkUjs7OzEYrFYLFZeXh6NRkMQxM/P39fX5+joeOLECX5+fi0tLUqdIDc3txH19n4vRnaEPT098fHxVVVV/f39AAAIgt6+fVtUVERf22hLXV3dsI0lBQUF2inJpaWl3b9/nxx5tXnz5rCwsI+SkjMoF1T7+kBrK6ivBw0NoKEBYLGNjY0fPnzo6enhlpTkUlQsRSI7tLQUtm9ftXnz6MUH9u/fb2lpaWxsPHv27I6OjtTU1KtXr/Lx8UVGRv7999+zZ88mkUheXl4RERHjiaARFgbCwmBYCXIiETQ0gJoaUFgIXr4EERGgoQFoawN9fTBzJjAxAXJyKBQKLqpAZmho6JcXpaen19TUlJCQ4OLikpyc/Ndff3Fxcfn5+enq6gYGBra2tvr4+AAAcDicvb39+vXr/fz8WFhY4DVPSUnJ7yNNuLi4DA0Nx3zVdEFOTu7Dhw9JSUkVFRUrV650cnL6TZMQ/hwxv0mIkpLSzJkzz+XmOiYmLnv9WkFBwdvbm5+fPysrq62tTVNTs6WlhUQipaWlIRCIlStXRkdHOzo6olAoEonEzs5OJBLb29tZWFiGhoa8vb3Xr18/MDBAOf7g4OBUEFUfMbvQ0tJSU1PTxsbG3d19z549enp63t7e9ElsHDdjrUf44MGDWbNmUaoEBAQEeHp60sA0CIIgQUHBhoYGyh4dHR14FeJHXLx4UVRU9Ny5c2lpafr6+iwsLHBGwZw5c8zMzH5eV3YYBAIhPj4+KCgoIiKirq4OgqA3b95ISEiQTaqqqsJgMDTMsu/uhtLTobAwyN4eEhQkSEo+l5M7OmMGvqkJfj0zMxNeovzlSK9fv5aUlNTX1+fm5ubm5l61ahX8JpaUlHBxcWGxWAiCXr16paOjQ3lWQkKCqanp6O2dDAn1ZDo6Oq5evVpWVsZoQ37BiJ9BLBbLrEfIWNrb252dnbMQCGcEgoWFxcDAoL6+vre39/bt25cuXXr06BErK6ujo+OcOXO8vLy0tLTY2NgQCMSJEycQCISAgIC7uzsSiTQ3N5eQkODj4xMREcnJyYFHJpFILi4u/v7+tDCb8YV5xcTEvn37VlRUBKt75Ofnx8fH08egcTNWRzg4OGhgYODl5VVbW9vS0nL27FlRUVHYSdCC+fPnR0VFkZtFRUXc3Nw/ue8PDQ3x8vK+f/8egqD09HQlJSUPDw8REREPD4/bt2/PmTPn/PnzE7Fnz549QUFBlD1+fn579uyZyJijZH9w8GwurkgpqWdIJBaA2mnTUrW1l3Bx3U1MHOUIWCz29OnTCAQCjUZzcnLKy8unp6dDECQjI1NSUgJB0PXr14cVec7NzVVXVx+9kZPBEa5evTo0NBSCoLlz5yooKFhbW6empjLWpJ/zowr18JvChLEQT54csrUd8aWtW7fKyspycHAYGBi4u7vLysoikUhDQ0MEAmFraztz5kw0Gr1w4UJ4UfDq1atCQkJubm47duyYOXOmmZkZtQrWD4OejnBk7VBjY2MuLi41NbVXr15BEKSurj7JS5iOA1ZW1vv37/f09Ojq6iorKz948ODZs2e/lFf/9u1bSkrKpUuX3r59O6bpwsPD9+3b5+fn9/Dhw+PHj1tZWYWHh/8kaAgOjJwxYwYA4M2bNywsLM+fP+/o6JCVlQ0MDBwYGMjIyBiTAcPo6OgYVqSCn5+/rKzs4sWLqampcDgZLUhOTr56/fr1khLv+nqTgYFd69fvwOGEeXmTpKVt160DixaBEydAefnPBxkaGoqIiODm5i4tLcVisadOnVqxYsXHjx87OzuFhIQAAFpaWu/fv6dcw3n58uWIyRiTGXZ29sDAwKamptevX9++ffvRo0epqamMNmrMoNHo3+43PyVBurigMjJAZ+ewfiKR6OjoyMXFBavC1tbW1tXViYuL5+fnQxD06NEjIpGopKREIBD4+PgQCMT06dPfvXunqanJzc0Np7oOi23+LRnRPd68eXPTpk0kEikgIMDQ0FBLS0tVVZU+nnncjPWJcBy8fftWTEzMxMRk7dq1MjIy1tbWY/oqVF1d/ddffxkZGS1fvjwjI+PnBzc1NQkICMCLfm5ubgICAhUVFby8vBAE9ff3i4qKmpiYTOBSoJiYmPnz55NXhnt6enh4eDAYjJubm5GRkYyMTFFR0UTG/xFOTk5xcXGUPebm5klJSRAEQa2t0NWr0OrVkIgIpKAAeXtDqanQt2/fD5KQkLBw4UJvb287O7u+vj4Igvbu3auurr5w4ULyMQ4ODjY2Nvn5+Y2NjadPnxYSEhrTc8lkeCKEH9nPnDmjoKAAv1N//fUXY036OT/6DNJBppjJqHB0hCIjKTs+f/6sra2trKxsZ2fHw8ODQqF27NiBwWCQSKSjoyMCgdDR0WFlZZWXl9+3b5+lpSUajW5ubsZisYODg7Q2lvFLo2SGhobOnj0bFBRUWVlJH4PGDa0d4eDgoJSU1NWrV+EmHo9fvHjxzp07aTejnp7eiRMnIAhas2YNXLvSw8MDgqDu7m4RERE4xWfcwFp3zs7OT58+ffz4sZyc3LRp08gyu6dOndLW1qbF/cvY2PjZs2eUPWvWrImOjv6fg4hEKCsLCgqCDAwgDg5o3jzon3+gigry6wcOHNi+fTsWi126dKmgoKCJiQkfH5+QkFBrayv5mN7e3l27dikqKmIwmPnz5491m2oyOEJ/f38PDw84lxmCoNbWVnNzc8aa9HNG/AzicDjylhITBpOS0i0nt2/fvrCwMPibrpmZWVBQECyljcPhZs2aBT/ekaOvWVhYkEgkAoHg5OTk5+cXFRVVVFRkZ2dnZ2dftGgRXA59GPfu3du3b9+RI0cmuCQ+iRwhmWvXrtHUjolDa0f48eNHRUVFyp78/Hw5OTnazVhSUiInJ2dgYKCtrc3BwcHKyurh4eHj4yMlJWVkZESO68nOznZ0dFRVVbWxsUlLSxv9+Fgsdu/evSYmJmZmZvz8/PB+JBkpKSlaPBR6eHgEBwdT2iArK/vy5csfntDZCcXHQytXQkJCkIYGtGcPlJV16+ZNS0tL+PWampr09HQPD4+tW7dS0c7J4AirqqqOHz8eGxs7ODhYXl4eEhISExPDWJN+zo8cYW5uLkPsYUIJgUBwtLVtQ6FOb9zo5eUlKCgYFhbGzc1NGXbX0NDAyckpLi7e09OTnJy8evVqCQkJuPQCJyenjIwMOzs7Dw/PlStX+vr6AgMDVVVVv1Gs2RCJRHt7e01NTV9f302bNgkLC0+khgzDHOHAwMCGDRtqa2uvX7++iYKNGzcO8wGTEFo7wpcvX+rp6VH2fP78WUREJD8/f9++fTt27Lh3795EHqHq6uoKCgp6e3spO3E43P3793fu3CkmJpaVlRUeHh4aGvrixQsFBYVHjx5B/18P5dy5c3l5edevX5eUlLxw4cI4Zufn5x9WK0dLS+vt27fjvpwf8enTJyEhoYiIiPLy8tzc3Pnz5zs6Oo7qTAIBSkuDtm6F5ORIGMxNfv7ra9b0trcPDAxcv34dg8HU1NQMO+Pbt29jiq2lZDI4Qj4+PldXV8baMCbosD3BZNxERUVZWFiQAgKgzZshCKqqqhIQEBAXF4cgCI/H9/f3wz8gEAh2dvaOjg7yibB+U1FRkZeXV3BwcG5uLj8/P1zIycTEhDKO8uTJk+bm5uQPXVVV1bRp0z59+jQ+gxkWLAP/CpBI5MDAQF5eHhqNZv9/qF8y93dDR0envLycUuPqxo0bQkJCCxcuhCM8g4ODlyxZQiQSxzry58+fTUxMpk+fDhfADAkJIb/Ezs6+ePHi8PDwpUuXOjk5tbe3d3d3r1y50traesGCBQCAXbt2xcXFeXh46Ovru7q6Pnz4cMeOHcMSfUaDnp4eZSBGYWFhbW2thobGWMf5JQoKCq9fv87NzZ03b96GDRvMzMyuXbs2qjNZWICVFYiKAjU1iLQ0azc3g5QUwrRpN9jZ8/btS711izIr9MGDB4qKitzc3JycnGvXrv369SvVL4QOBAQEmJqaUvaEhYVRa3ASiZSdnZ2QkHD69Onr168/efKkq6uLWoMzmYQ8e/bM3d0d4e4ObtwAvb2KiooLFizo6OiYPXs2Hx+foKCgjo7OwYMH1dTU1qxZ4+LiUltbCwD49OlTZU7OcXt7zbQ0q5SUmfHxucuXGw8N7dyxY3BwUFdXFz6McgqyMIWioqKVldWTJ08Ycblj43/cGxqNPnXqFADAyspKRUVl9uzZ5Jdu3bpFb9MmGXx8fMHBwRYWFrt27VJSUnr58mV0dDQA4OPHj3D1g8DAQDMzs1OnTsE53aOERCKtWLHC3Nw8NjY2PT29rq4uNjZWTk5u7dq1lIedPHly2bJlcBDv9evX4fsjvGI2b9488mFaWlr8/Pw1NTVjjdOLiIiwsLBoaWkxNDSsq6sLCQn5559/aKSEp6amdvPmzQkNoaPDd/w43/HjQ3V1K+/edbt7FyxaBCwsgIMDsLV9U1bm7u4eGxtrbm7e3d29Z88eFxeXx48fk+W8fxdaW1tjY2OTkpJgZRYCgfDixQt/f/+Jj/zhwwcHB4f29nZ5eXkeHh5WVta+vr62tjZTU9OYmBjqaigPDg5WVFRoaWlRcUwm4wCWj3nd1IRCoR5ISt4SE2NjY0Oj0SUlJefOnVNWVo6JiTl48GBcXJyTk1NQUJCeunoIkWhHINSTSITCQhIra2F3N+fQkMOsWdZpaeiEhPNZWYXTphn+9dewKSgnHXexVToz8nNee3s7pRcEACxbtowu9kxq/Pz8tLS0Ll26FB8fP3PmzN27d5O9IACAlZXV29s7Li5uTI6wvLy8tbVVS0trxowZixYtEhISGhwc3LZt26pVq4YpfpmYmAyrjYBGo3l5eTs6OiQlJVtaWiorK7m5ubu6usYhgKurq/vu3buIiIiQkBAZGZn4+PhhzyKTE1YZGeDtDby9QXMzSE0F8fHA05OHlzdh/nwTPT3Ayjpt2rTo6GhYQXFSVZYYDSUlJWpqatLS0mTte2otzPj7+585c2b+/PmUty0IgrKzs4ODg8mFSn5EZmZmaWnp9/319fX6+vrfvn2Dd56+fPnCycnJxsaGxWJbW1tRKJSwsDAAoL29nUgkYjAYBALR3d3d39+PwWBYWFi+ffvW29srJCTExsY2MDDw9etXXl5eyqH4+fkhCGpra2MONY6hFi9enJmZefXq1aurVvmWlXGbmh4MDR0YGFi2bNnHjx/Pnj0rKSm5devWtrY2IpH4T3j4kcrKZmVlnmXLdsXF9ROJFhYWNWh0SkrKt5kzcyHouLv7bGfnxZ8+8cyd25ySgtHXZ5GUtLS0LCoqWrJkCWxVXV1daWmpr6/vCFbh8cLc3KCnp72zkzgwgMHjEbNnd+PxlBfIzs5ON9XDkT9XGzZsOHXqlJGR0W9XBZTWLFiwAF6TBACcP39+2PuEQCAgCBrTgHV1dRISEj4+Ps+ePYPL83p6eurq6p48eXLbKMpTODg4BAQECAgIXLlyRVtbu6ioiEQidXZ2jkOLS15e/syZM788jEAgVFVVCQkJMbyK0/8gLg48PICHB/j6NUlXd3t1NZCWBqamwMmJxdZWW1sbXn9ua2sLDw/PycmZNm3a6tWrHRwcGG33z3B3d7ezs6MUJ6PWwsz06dO/r7OBQCCMjIzu37//y9NLSkq+LwwCAIBL3OFwOPiODGe28PPz6+rq1tfXk+/IfX19BAJBREQEgUB8+/YNi8UKCgqysLDgcLi+vj5ubm42NjY8Ht/X18fKyjpsKBKJ1NvbyxxqHEPNmzevtrZWSkqqWkEB09ws2NVlYGCQlZWloqJCIBCuXbsmLy9/9+7dmpoaHA7HnZhIxOFw69e3YbHzFy8OCAgQFhZWVFTU09MLCQlxd3c/8+LFcyWlZTIyaxUVsXV1gjt2sCCRK1xd0xGIfe7uUrNmIRCI3vb2nQsXar9+PRAX14fBQEVF/A8ekPD4Xg8PFA4nfOsW4OfvW7qUwMcn8vAhIjLym6go5QWiUCj6ibeNuHPo7u4eFRW1c+fOixcvfhspkWsSQv+N+pKSEgwGQw7ZJxKJ8+bNO378+JgGqa2t5eXlJcdAQhAUFxenqak5Z86c0Zze09OjpKTEysq6YMEC+M903759ysrK5EQI6nLhwgUMBiMlJSUgIGBpafl9fMpkwNHR8fLly1BHB3T9OmRrC3FwvOHhKfXzayopwWAw27Zte/jw4fXr11VVVQMCAn40yGQIlvmeN2/eUGWc7du3t7e3f99fVlY2TJFnTDCDZSY5ampqe/fuXbx48XJOzn5xcZ9Nm+Cv8hwcHDNnzhwYGAgODnZ3d4e6uyEMpunGjZkzZ0pKSuro6PDx8SkpKc2dO9fV1dXZ2XnFihUxMTE7duzYu3fvv0MTCNC7d9CxY8TFi3GcnB1cXN1cXEQ0Gpo+HXJ1hQ4dgpKTodJSqK4O+voVGl0IGz2DZUZ+Ijx69Chcj6ahoSEmJqa/v9/c3JxZUWwY6urqmzZtmjFjhru7Ow8PT2JiIjs7u5eX15gGkZGR0dbWLiwsLC0tnTZtWkZGxo4dO4KDg+Pi4kZzOi8vr7i4+JYtWyQlJSUkJGbNmoVEIlNSUt6+fUv1giEPHjwICQlJS0vT0dEhEon79+9ftGjRtWvXVFVVJ1Vlzs2bN2/YsEFTU1Pf1XXA0THUzw/9+PGe0lK8rm66tLSGnh4wMgL8/GZmZlpaWmvXrqV1YeRxQzvt+23bttnY2PDy8kpKSnJxcQ0ODvb29paWljY0NIzmiXBMDA0N1dXVUdYrYEI3Pn78GBsb29bWpqiouGXLFmlpaS0tLUlJyUwBga/5+fI3byKRyNWrV5uamsKV2LOysl6+fAmOHYPmzl0SHr5s2bJdu3Yhkci2tjYzM7OcnJyenp7169cDAKKioqqqqrKzs/+diYUFLlqO9PVlJ5HYKyoAGg3k5MBvsjE/spVwlB2JRKqpqSkoKAgNDd2wYQN9DWM89fX1f/31l7GxsbW19dmzZ0cMB92/f//169dxOFxdXd3WrVufP38+jl2cM2fOfPv2bcGCBVJSUqdOnbp161ZeXt6wPdqf0NraamJisnTpUkNDQzgeREpKqqOjY6xm/JLY2NgDBw7o6OgAAKqqqtLS0j59+uTo6CguLh4eHk716cbN/Pnzjxw5snDhQh4eHh4eng+1tRtevUKkplqpqbG6uoLERCApCZYsEU9PtzYyGnGJb5Lg5OR05syZyspKEokkLCz8/v17CwsLqowsJSWVnZ29d+9eTU1NTk5OTk5ObW3toKCgxsbGOXPmUGUKMkNDQ5SVs5jQjVu3bs2bN4+Xl3fx4sWtra2ampoWFhawXFFra6v74ODG/n4TCYnGxkYPDw8sFvvo0aPz589riouDkyer3dy6uroCAgLgWwoGg1m1ahUEQS0tLenp6U+ePGltbcVgMOUjqiEikUBNDSgo/C5eEIAfLI26urqGhITIy8tzcnKuW7fuzZs3k18kibrLMs3NzSIiItu3b3/16lVycrK+vv6mTZuoNfj37N69W0FBITo6+tq1ay4uLkpKSt3d3aM8d+nSpREREeTm169fhYWFS0tLqW6knp4eHLaKx+O1tLQOHDiwfPnyCxculMILgZ8AACAASURBVJeXy8vLJycnU33GiUAkEhsaGihlzc3NzR88eABBEPTlC3TmDGRqikMimw0NoYQEaGho2OmTYWn0t9O+H/EzSCKRurq6GGLPnwyBQBAWFqYUVIqIiLC2tj548CA3Nzf8fT1WTKzH3r6urk5WVvbSpUuampo5OTm969Z12tklJycPE3HcuHEjNzd3c3PzzZs3k5KS2tvbw8PDaXpXZLyyDABg1qxZ586dG01ZnEkCdR3h1q1bt2/fTm52dXWJiYl9+PCBWuN/z6NHj9auXWtraxsWFjamfdmPHz8KCgqGh4eXlJQ8fvwY1o+nhYWrVq06duwYBEHZ2dkaGhqDg4NKSkqwa7x165aZmRktJqUi//zzj4mJCVynCYKg1NTU6RgM7sgRyNwc+k6AbTI4wqVLl0IQRCAQ3NzcSCTSwMCAvLw8Y036Ocw9wslDcXHxMN2rjo4ONjY2EonU09Nz+vRpFAplqKT0DYXSEBT09/d3cXFBIpHmnJydCIS+hAQ3NzcHBwfl/X/x4sWysrKUAx46dMjLy4t2l8D4PcLDhw8HBATQ9cl0kvH+/fu///6b3OTn5zczM3v37p2uri6NZqSMRx0TOjo6z549279//7FjxzAYzNq1a7ds2dLS0sLKygpHi1ELX19fKysrMTGxoaEheCJ5eXl4JU1BQaGlpYWKc9ECHx+frKwsZWVlCwuL5ubmwsLCGzdusM+bB6iRmUcLnJ2dN2/eHB0dLSoqamxsjMVi0Wg0o40aM0Qi8cuXL79pSeHfFw4OjmHCGng8npWVFYFAcHNzCwkJGRkZlZWVVWtrPzcy0omLExQUFODnPw/ANWlpRV3dpCNH9PT0DAwMYmNjpaWlHz9+/ObNG05Ozp6eHj4+PgBAb2/vpUuXRhNn/lswsiMMCAjo6+vr7u6WkpICAEAQ9KflUQgJCQ3b2Ojo6ODh4WGUPT9n+vTpKSkp8M8vX75UU1Nrbm4mkUhaWlqXL1/W1NQc37AZGRnXrl1rb283NDT08vKaMWPGjRs3du/eXVBQQCQS161bd/LkSfgPIysrS0lJiVqX8+DBg/3799fU1IiLi3t6em7YsGH0UdSvX7+urKyERcmHVYdhYWGB91+Li4v5+PjMzc3HkXBJT5ydnZ2dnQEABw4cuHjxYmNj45o1a/6vvTuPh2r9HwB+hjHGvu8kUpZG1oqUbotKVKSLLK1uqltytWmhbilcbUrafCmVpMWN9lL2rJEWoWQXkmUwM2Y5vz/O/c2dy5CYjXner/u6rznP2T6Nec5n5pxn4XZQP41EIlVVVYFEyGFaWlpYLDYpKWnp0qUQBMEwfPjw4SVLlhAIhLlz5/b29trZ2XV3d28pKrpWVPQNhZoyZcrs6motNbUNBQVnjI2rqqri4+M9PDxWr17d1tZmYGDw6NGjpKQkQ0NDpNNRYmKih4fHggULuP0PZRGmvxPv3r0rLCzs7OyMLCYkJCAjW/Iy1t6WuXDhgqGhITKeHgzDiYmJSkpKra2trDo+m5SXlysoKCQlJcEwTKVST5w4MW7cuOGFHRwcjDTeuX79+po1a8aNG9fc3IysotFoDg4OS5Ys+fjxY1NTU2xsrJycHDJ72cj9/fffGhoat2/fPnv2rKqqqoCAABqNdnJyqqysHLxPCIFAWLx4sba29vLly6dPnz5x4sSRPCjlhVujMAx3dnbW1NQgr0fpc3oKhcI4KwjAMa9evVJRUXF1dd25c+esWbMMDQ2/ffsWEBCwdOlSZLoJGIYLCwreoFA71NXnSEl9R6HmS0pu3759/fr14eHhNTU1cnJyfY5ZXFwcEhISEhJSXFw8wvAaGhqY9uGh4/4zwsWLFxcXFyOzY8MwTKPR1q9fz5mAho21iZBGo23ZskVFRcXBwWHOnDlqamo/nEGQFyDDfzOWODs7h/93BrKhQGZDrK6uppf88ccf69atoy92dXXt2bNn3LhxIiIic+bMYeHw3FOmTHny5El2draCgsLDhw8rKyuxWKyioqKAgAAWi7Wyshoo4/r5+Tk7O9OnSbtw4QIOh6NX+J/FC4lw1H0fBc8IeU1bW1tUVFRAQMCdO3fIZDIMw7Nnz/6nydj/my8k1IZGU+XkNoiKVlZWWlhY6OnpXblyJSEhwcLCgh1RvXjxAmmJKSwsPG3atIFma+L+DPWzZ882MjIikUjIIplMHhUDp7IQCoU6c+ZMenq6k5PTjh07ysrKfvnlF24H9WOfPn3S19dnLDEwMKitrf3Z47x+/drU1HTcuHH0End396ysLPqimJjY0aNHq6ure3p6Xrx4McQ+phQKpa6ujkajDbJBaWnpzJkzIyMj9+/fb2tri0ajyWTyhg0bDAwM7ty54+zsvHjx4q9fv/bfNykpaf/+/fSbqBs2bOjp6Xnz5s1Q/828JyoqKjc3l/5YesWKFbdv3+ZuSMMAwzAYzptbpKWl169ff+jQoeXLlyMtRWk0GmMXr/r6+lQY9pSSwoeGUleu/P333+fOnVtRUVFdXb1x48Y+Ix6zRFlZmYuLy+nTp7u7u3t6elavXm1nZ8f1TwjzRCguLk6lUpFESCaTfX19lZWVWXI+GIaJRCK9T15bW9uTJ09ycnIIBAJLjs9aOjo6Hh4eixcv5qkO44OYNGlSSUkJY0lxcTHjtAxDJCoqinTipuvu7u7zyO2nEAiEHTt2SElJGRoaysvLh4aGwszGokOj0YqKinV1deXl5VOmTIEgKC4uTkBAYNOmTcbGxnV1dT4+PjY2NpcvX+6/b3t7OzIKBJ20tDQejx92zFw3Nr6PEggE5r3NAG6YPXs2Y/VB7uXorlmjvWtXXV1dSUlJSEgIlUo9fPjwuHHjgoODbWxsOjo6RnjS2trakydP7t+//+rVq5cvX167dq2dnR0EQQICAps3bzYzM7tx48YITzFCzBOhtbX19OnTb9++bWlpKS0tfeHChaCgIJacj0AgiIiIZGRkQBCUlpY2YcIEe3v7lStXGhgY0Jt7AMO2du3amzdvxsbGkslkAoGATBLt4eHxs8cxNzevrKxMT09HFslkcmhoqJOT07AD8/PzKykp+fLlS1tbW35+fnx8/EAjO7u7u/v5+WlqapaUlPT29sbGxurp6SkrK799+xZpumVsbFxdXd1/xz4zSZWXl3/69GlUT3rAvu+jnITBYJSUlLgdBfAPf3//wsJCGRkZZEhrV1dXFAq1ffv2169fb968+fLly9OnT5eSktq7d++KFSuuX7+uqKi4fPnysrKyYZ/x4cOHhoaGb968wWAwFy9ejIyMpE9UgNDX1x/GXSsWG+ieaWVlZXh4+G+//bZr166CggJW3YpFajXyvM3Q0NDOzg55XkqhUI4fP56RkTHsI4PnE4iCggJzc3NkFkkbG5vPnz8P7zhJSUnS0tIrVqzw8fGZNGnS/PnzSSTS8A5FIpGwWCy95REMwx8+fJCVlWXa+oNEIq1Zswbp8ystLa2rq+vi4uLj4zN16lTk+Z+np2dwcHD/HUtKSmRkZA4cOPD48eNLly6pq6ufPXt2eAHD3H5GSKPRaDTa27dvzczMdHR0LCwsREVFBQQEnjx5wq2QhgLUQZ7V1dWVk5OTlZWVn58vLS0tJCRkbGy8aNEiTU1NMTExZWXljIyMr1+/xsbGQhCkqKjo7+/v4+ODxWKFhYUFBASUlJTmzJnT2Nj4s+clkUjKysopKSn0ElNTU0NDQ8Zt7O3tL1y40H9f7jeW6e/AgQMsOR9yUxRJhGJiYoyTF9NotG3btg37yKASMurp6Rl23qKrr6+Pioo6fvz4kydPRtJksby8XE1NjbGERqMJCAgMMm7Aly9f/vzzTw0NDTExMRQKZWJi8uXLFyKRGB4erqysPFCFrKys3Lx5s6WlpYuLy4sXL4YdMMzVRJiRkaGmpqaqqhoZGcmm76NsMlAdZNMQ8MAQIY3ejYyMzM3NMRiMiopKREQEsur79+/Ir8MJEyYg80ugUChk/orNmzcvXLhQVVVVTEwsLS1t/vz5U6ZMqaqq+qlTFxYW6uvrM5Y8f/5cQEDg6tWrRCIRj8cHBQXp6uoiZ+yDO4lwxowZEwagqamJwWBYcj7GX4S2trYfP35kXIsMpTE8IBHyLBKJJCIiQu99AcNwcXGxoqLiUPZtbGxMT0+fPn06BoPBYDCDtBplLS4mQgsLi40bN0ZERFhYWKSmpnIlhuFhWge7u7tf9Ru4B+CYiooKGRkZ+m+y8ePHCwgIxMfHwzBcWFg4depUCIJQKJSxsfGnT5+2bNkiLS2NPDhUVlauqKjw9PTEYDDS0tJOTk5oNFpSUvLUqVNDP3tubi4Oh2Ms+fTpk6ysrJmZGQqFEhQUXLBgwUCT2HBnZBk1NbXff/8dmZT81KlTBgYGCxYsoFAoVVVVycnJp06dYsmdWCqVqqKiEh4enpCQICAgsHPnzqSkJGTV58+f29vbWXIWtvr+/fvevXvv3LnT2dlpaGh49OjRsdOrlD0wGIy3t7erq2tUVJSWltabN29WrVq1b9++oeyrrKysrKyck5PT1taGQqH6NIcZk5BRZyEIWr169ZEjR0bFDMmDQK6e3I6Cfz169MjBwYE+XLuGhkZ3d3dcXNyMGTMWL14cEhISHh7e0tIyY8aMRYsWzZ49e8mSJa6urn/++WdLS0tqauqdO3cEBARKSko0NDQmTJhw5syZNWvWmJqapqSkJCcnE4lES0vLoKCggZ5eGxoa1tXV5ebmTp8+HSk5d+6cjY1NfHw8gUAQFBTkkcGS/k2Eu3btQiaGhSDo2LFjJ06coLeydXR0PHTokIODw8jPJyIi0tDQ0L88Ly/v8ePHp0+fHvkp2AqGYQ8PD0lJyby8PCUlpeTkZHd390ePHtHfOoCp4ODggIAApOmKsLDwzp07t27d+lNH4PFRYFhIV1cXeSEuLi4uLs646u3bt6Ou+Q8GgzEwMOB2FPyrsbFRTU2NvrhixYqgoKDMzMzIyEg7O7vk5OSPHz9KSkru3r3769evZDL5/fv3586dO378uKCgYHh4OAqFcnR01NDQKCsrQyZjWrt27dq1aw0MDI4dOyYsLJyUlGRhYfH69WtZWdn+ZxcREUFOtHnzZhUVlfT09Ozs7NzcXGQV596FH/k3ETJeynV0dBj7mmhoaDx+/JitcUybNk1QUPD9+/c/rDMkEqlPy34E0l2UPdH96+3btx8+fCgvL0e+yLi4uLS2th46dIj+uxZgCovFhoWFhYWF0ccqBAbC+E0RmfsN0dvbGxkZifxYHF1g/hujkXcYGhoircaQP8HWrVtPnz5dXV0dGhoKQRAKhVJQUJg1a5aRkZGzszMaje7s7HRycpKSktLQ0CgtLVVSUlJXV799+/aePXsOHTokKir6/fv3tra2O3fuIH12Z8yY0dHRERwcPNBcbCtXrjQ2Nr5y5UpWVtb06dOjoqJ4sTca0xumkZGReXl5yOve3t7AwEA9PT1236XdunWrgYHBDzcbqDMACoVSUVFhd5Dx8fFLly5lLCksLOTAmwMMrqmpKS0traioiD6yzAhx8RkhBEGCzAxSYXkE02eEBAIhNzeXK/EAMAwTiURTU1M3N7ecnJzCwsLNmzdra2vn5+fLyspOmjQpPz8fGX1p9+7dyNSDAgIC8vLyFhYWyMT0kyZNEhISsrS0jIuLo9Fovb296urqc+fOZTxFYmKijY0NyyPn/uwT69atc3V1bWxslJCQePfuHR6Pj4+PZ08i/ld4eDjTyW/7uHr16tWrV/uX29nZ1dXVsSGu/xg/fnxZWRnM8A23rKyM8c4DwBI0Gu3ly5dfvnxRU1ObN2/e4A8S9u3bFxERgcPhmpub0Wh0XFyciYkJx0JluRkzZmzcuLH/jSMikTgafw5CEAR+DnKRsLDws2fPgoKCPD09KRSKjY1NZmamjIxMd3e3gIBAfX29ubn5y5cvIyMjaTSarKxsSEjI2bNn3759GxgYWFpaqqiomJ6eLiEhgUajb968ef78eSkpqT43dZqbm0f9w/uBMiSZTH727FloaGh0dDR92F9WoVKpr169unHjRkRExLVr1548ecLYyWx4ONNqlEQiGRsb79y5k0AgwDD85s0bNTW1e/fusfu8w/DixYtly5ZNnTrV1dW1pKSE2+H8hNbWVnNzc319/TVr1pibm0+cOLG8vHygja9fv66np1dbW4ssnjt3TkdHp6enZ4QxcPEXYWJi4kCrbty4wclIfhZouT1aIF17Hz9+rKOjIyIiIiAgICYmJigoiExl2tXVJScnJyYmdu7cOWTCirCwsHnz5i1YsCA8PLy6ulpJSYk+9nJtba2WlhY7RsHlxX6ELPT69WtNTU1RUVEcDmdpaWltbW1iYqKqqrpy5cqfmpC2D45Vwi9fviBT/GhoaCgqKl68eJEDJ/1Z169fV1dXP3/+/JMnT4KDg+lNokeFVatWbdiwgT5ednBw8JQpU+zt7ZWVlU1NTc+ePUtmmFB+yZIlfdKDpaVlcnLyCGPghUG3Rx2QCEeRWbNmHT9+HIbhhoYGNTU1aWlpRUVF+gjv8+bNmzx58m+//bZmzZr++z579kxFRWXmzJkLFy6UkZFBjsNyYzwR2tjYPHjwoM+zHBqNlp2d3WfmhJ/C4UrY1NT0/v17xisyB7S2tj5+/Dg5ObmhoWGQzWg0mpycXFFREb0kPj5+FF2h5OTk6urq6IuvXr1CoVAhISFlZWXp6elTp05lHHjBzMysz4BEzs7OMTExI4wBJMJBDDJoX//n9CQSaXTdkOATHz9+VFZWXrlyZXBwsJKSkqCg4IkTJ2RlZR88eEClUpHu4zIyMgMNTNHe3v706dN79+7Rb8awHPdnn2ArExOTxYsX95lqFYVCWVpa8kifkqFQVFQ0MDBgbFvLbklJSXp6egcPHgwNDcXhcBcvXhxoyy9fviBDKNFLHB0d3717Rx++mZdRKJSuri7GhxCHDx+WlZW1s7ObNGnSrFmz7t+/f+XKlcrKSmQtDodDhq5F4PH4rKws0F6fra5evcr0arJ48WIFBYU+G1Op1O7ubq7ECQxCV1e3rKzMysqqvr5+3rx5UlJSycnJly9f9vLyUlRUbGhoqKurO3jw4Jw5c5juLiUlZWNjs3TpUnV1dQ5Hzg5Duo4XFhZWVlb++uuvLDklhUL59u2bvLx8n/KPHz+Wlpay5BRjz5cvX7y8vJKTk5F+qZWVlbNmzZo8ebKVlVX/jaWlpbu6uqhUKr2pYUdHBwaDGfo871yERqOnTJny4MEDFxcXpKSwsJBMJk+cOBFZVFRUNDExKS0t1dbWhiBoz549VlZWoqKiixYtam9v37Nnz+zZs6dNm8a1fwDbsLYacoyIiIiZmRm3owCYkJSU/P3335HXoaGhAQEBGRkZKBRKREQE6SA4f/58xu0bGxt37dr14MGDnp4ec3PzkJCQmTNnciNw1htSIrxy5UpKSgqraqCvr6+dnZ2kpKS6urqYmFhvb29nZ+eHDx9qa2uTk5NZcoqx59GjR3Z2dvTRGbS1tX19fS9fvsw0EcrKypqYmISFhfn7+0MQRKVS9+3b5+zsjDSP5n2nTp2yt7f/8uWLmZlZeXn59+/fd+7cKSwsjKyFYbiuro7+RUpXVzctLe3AgQN//fWXvLy8u7v7tm3buBc7G7G2GnLSqPgGxud2797t5+d38+bNtrY2DQ2N+fPn9xnMobe3d+nSpSYmJm/fvpWSkrp169ayZcvS0tJwOBy3YmahISXCIXZsGCINDY2cnJyMjIz8/PympiY0Gj1+/Pjly5fb2dnxYkdL3tDS0qKoqMhYoqSklJeXN9D2sbGx9vb2d+/enTx5ck5OjoSExJMnT9gfJmvMmDEjOzv7+PHjSUlJ2trav//+e0pKiq+vr4KCAo1GO3r0qISEBOP4D5MnTx6NM9b+LNZWQ44hk8nV1dU6OjrcDgT4ASEhoUGe/qanp5PJ5PPnzyPfp9euXVtXVxcaGsq0M9uoM6REiEKhgoKCDh48yKqzolAoa2tra2trVh1wzDM2Nj569CgyaQNS8vjxYyMjo4G2Hz9+fFFR0bNnzxoaGjw9PX/55ZfR8nMQoaend+nSJeQ1jUbbunWrjo6OkZFRdXW1nJxcfHw8/a4v/2B5NeQMMpnc0tICEuFoV1ZWZmZmxngZsbCwGEVfrwf3byK0srJqampiuhGFQmlsbBx1NXAssbe3P3ny5MqVKzdv3oxGo69fv56Zmbl06dLy8vJJkyYx3UVISGjx4sUcjpMdBAQEzp49u3fv3oqKCllZWRwO98Okjsfj09LSOjo6LC0tkUeJo8XYq4YiIiL6+vrcjgIYEiqVSiAQ+twURWhra8fFxTGWlJaWjpmxRDg9+wQwPIKCgg8ePDh8+LCvry+BQGhsbBw/fvz169e3bNni4OBw8eLF0fWDbxjU1NSGWOuePn26Zs2ayZMni4mJ7dixw93d/dixY+wOj1XGXjXkkzlDRrvMzMyVK1fW19fDMIzFYm1tbT08PBwcHOgXltmzZ//xxx/BwcE7d+5Eo9FpaWlBQUFj55EEvelzfn4+/fXs2bMZe8hVVVWtW7eOXT04WIRPOvMSCARtbe3Lly8ji21tbRYWFuHh4dyNinc0NzfLy8s/fPgQWWxpadHX1x9Gt0Ju9SMc1dWQaR2kUCiDd3sFOI9KpdbU1HR2diKLnz9/FhISmjZt2r59+yQkJNTU1AQFBSdMmDBr1izGSZU/fPhgZWUlJiamqKiooqLC7nGOuNOPkLuzT4w9eDw+JycnJyenq6uLhYctLi4WFxdfvXo1sigtLX3kyJErV66w8BS8gEajvX37NjU1tb6+fvAts7Oz7e3tdXV1raysoqKiMjMzjY2NbW1tkbXy8vIHDx7sc0uHl429akgikaqqqrgdBfCvoKAgcXFxXV1dGRkZIyOjt2/fHjp0SEREJCEh4ezZszk5OdXV1erq6sgsYEePHqXvqK+vn5mZWVtb+/r16/r6eldXVy7+K1iL+f00MzOz/Px85DWZTP7zzz/B1Jo/JTk5eeLEievXr1+/fv3EiRNZ2C2kf/NRRUXFtrY2Vh2fF9TU1MycOXPRokV//PHH5MmTd+zYAQ8wwdarV6+WLl26aNGie/fu+fv7nzlzJiYmpk+fbjk5OTwez5HAWWxsVENhYeHR9Zh2bNu+ffuBAwcwGIyoqKiYmNinT59MTU2zsrImTpxYUFBgaWlpYGAgKCg4c+bMurq6bdu29W8OIyMjo6amNsYGUueh2SfGjLKysvXr19+7d8/S0hKCoJycHKTDjZ6e3sgPbmRkVFRU9P37d/o0mA8fPhyk+eioA8Owi4vLokWLAgICBAQEvn37tmzZslOnTv3xxx/9Nw4MDDx27NiaNWsgCNLT0zMzM5s0aZKUlFRXVxf9gf+9e/dG6bTJY6MaCgoKKikpcTsKAIIg6OvXr2fOnJk6daq2tva1a9eQySiKi4tramokJSUpFAq9MTYy74SgoOBA30HHGOaJUFhY+NatW6mpqa9fv3Zzc5s/f76GhgaHIxu97t275+LigmRBCIIsLCxWr1595cqV4ODgkR983LhxHh4e8+fPDwoKkpOTe/bs2alTp169ejXyI/OIysrKmpqawMBA5CunvLz8iRMnPD09mSbC4uLi//3vf/RFVVVVHA6HDP60e/duGRmZu3fv3r59+82bN5z7B7DO2KiGMAy3t7fLyMhwOxAAysnJwWAwLS0tERERAgICGAxm165dq1atkpGRaW1tvXnzZmZmZmVlZUxMzJs3b27cuHHhwoWBhlgbY5gnwmfPntnY2MyfPx8ZYqenpwePx0tISHA2ttGqrq6uzwVLQ0ODhdfiEydOXLly5dixY01NTdOnT8/NzZ0wYQLTMIKDg4uKisTFxZctW+bt7c3JkVGHrba2Vl1dnfHGi7q6ektLC9ONlZWVm5qaxo0bhyzCMNzc3HzmzJmcnJzIyMju7m4TE5P8/Pz+A2COCmOjGhIIhI8fP9K/FwJcRCQSJSQkOjo66LNdotHorq4uXV1dR0fH6Ojo3t7eCRMmoFCohQsXRkREdHZ2Xr58mashcwjzZ4QBAQGMi729vYsWLeJIPGMBDofLzMxkLElNTWXhMNACAgJr16598eLF+/fvo6OjmWbBhoYGc3NzISGhkJCQzZs3X716Fbl/yPtwOFxpaen379/pJWlpaQO9e05OTv7+/h0dHRAEwTCMDM9tZma2devWp0+fZmVlRUREjN6uTmOjGmIwGHBrlEdMnz6dQCDg8fgjR45QKJSvX796e3srKChUV1cfOXKkra0tJSXl9OnTPj4+SkpKHh4eeXl5fDLa139+IsTExOTm5srIyNTW1u7fv59eXlFR8f79e47HNlq5u7uHh4dv37593bp1EATFxMSUlpbGxsZyMoa//vrr119/pXc7Q2YXy8zM5P1BcuXl5b28vJYtWxYaGqqtrf306dNdu3YlJiYy3Xj//v3e3t66uroGBgYNDQ2SkpIJCQmjvUvlGKuGaDQaNJbhourq6qysLBiGZ8yYoaWl5evrGxERcfPmzRs3bggKCgoJCYmJiYWFhSFtDubOnTt37lxuh8wF/0mERkZGz549IxAIEAQxtngWFRW9du0ahyMbvcTExF68eLFr1y6kEf+cOXNevnzJ4S9WxcXFu3fvpi9KSEjMnTv3zZs3vJ8IIQj666+/Tp8+vX79+tbWVj09vdu3bw90Yw2NRv/vf/+rrq4uLi7W0NAwMTEZA43Zxl41JJFI9DHTAU66dOmSv7+/paUlCoXy8fE5ePDgwYMHLSws4uPjc3Jy2tvblZWV7e3tPT09uR0pl/0nEZqamiI9ru7evbt8+XIuhTQWKCkpcbdvn4KCQp/nai0tLYyT/PEyNBrt5+fn5+c3xO01NTU1NTXZGhInjbFq2NPTU1JSYmFhwe1A+M6bN28CAgLy67xbPQAAIABJREFU8vKQpye1tbWWlpZmZmaLFi0SFxdPSkpatGiRvr5+enq6np6eo6NjRUWFuLi4g4ODq6vrGPhC+VP+cxOptLT04cOHtbW1y5cvp9Fo69evV1ZWnjt3blZWFrfiA4Zn+fLlISEhzc3NyGJycnJ+fv7ChQu5GxUwFFyshjU1NSwfjg6NRo/G7o9jwOPHj11dXeltCDQ0NDZu3Ij0wFmzZk1UVFRcXFxAQEBCQkJ7e/vff/+9YcOGhQsXHjlyxNfXl6uBc8F/EqG/v39hYSEynfS9e/diYmL27Nmze/fu0NDQ169fcylCYDhWrlxpa2urp6dnZ2dnYWGxYcOGuLi4Udp4kt9woBo2NjauWLFCRUVlzpw5t27dopdXVlbu3LmTJaegw2AwLGwpBgzdt2/f6L2NETIyMp2dnVVVVV1dXfSbDX/99deSJUuam5uXLl26bt269PT0hISEUdrjaNj+kwjb2toCAgKQft8ZGRnLli3btm3bwoUL4+PjL168yKUIgWE6fvx4fn6+m5tbQEBAeXl5n8mm+dCjR4/c3d1tbW39/Pzq6uq4Hc6AOFANN2/enJ2dHRAQ4O7uHh8fv3Xr1t7eXpYcmSk+6ZTNa8zNzZ88eUKj0ZBFGIbv3bs3depUCoXC2JMqNzd36dKlFAoFWZSVlbWxscnOzuZCxNzzn0Q4ceJE+uvs7Gz67OeioqLgozwaTZgwwd3d3c7ObtR1PmO50NDQjRs3WlpabtmyhUKhGBsbf/r0idtBMceBavjixYvIyMjNmzd7eXnduXNn8eLFa9euZe2guHREIpE+UNzYEBcXZ2Njs3379hEep6CgwMXFhf73ZbkVK1YICws7OjomJSUlJye7uLjg8fgNGzZoa2tTKJTU1FRkM0lJyXv37v3yyy/054KdnZ2ioqJsioo3/aexDJlM7u7uFhMTa2hoyM3NDQ0Npa8qLCzkeGwAwBptbW1BQUHFxcXI8xI7OzslJaXt27ffu3eP26ExwYFqKCEhwdi3z9bWFofD7dixg023DXik5UVjY+OFCxfevn0rISHR1NTU3t5uamqK9D39qeO4ubmlpKQg964ZNTc3z5gxo6KiYoj/XnNz82XLlgUGBiKLvb29MAwP1Ly2qKiouLh47dq1Q49TUFDw4cOHx44dO3HiBAzDv/zyy+XLl4WEhCAIiomJWb58+YYNG8aPH9/U1FRYWEj/aGVkZGRkZERGRg79RGPAfxKht7e3tbX1nDlzXrx4oaamNm3aNAiCYBh+/vw5l8ID2AuG4dTU1M+fP6uqqs6bN2+stnF/8+aNvr4+48gDLi4uERERXAxpEByohmvXrj1y5Mj58+fV1dWREg0NjdDQUPqsJoOLiYnJycnpX/7u3Tv6YJV0WCx26tSpIwx45DIyMlavXh0SEkKf2ZhIJDo7Ow/vR7aEhASRSOxTKC4uTiaTfyrrMzYj8vPzIxKJUVFRTLcMCwuTlJT8qUQIQRAWi92/fz9jb1SEra1tQUFBdHR0Zmamg4ODtrY2MoYRkUhMS0uLjo5WVVX9qRONdv9JhFZWVtHR0bGxscjYHMgwPA8ePMjNze0zyAUwBnz//t3W1haZxv39+/c+Pj73799nycjgvEZKSgoZfYYOj8fz7JAZHKiGBw4cSElJefz4sZeXF71QSkrq5s2bW7Zs+eHumpqaZDK5f3l1dTWP/Pjro6WlxdHR8fDhw87OzvRCLBa7evXqn/05OAhRUVEbG5th7757927687z+hISEWDteq7a2dlBQEH3x9evXT548kZKSOnfuHB+2qvsnEYaFhe3atYtxBdMvJvHx8S4uLpyIC2C/bdu24XC4ixcvIt/iw8LCVq5c+fr1a968lo3E5MmTCQRCXFycm5sbBEEkEikgIMDJyYnbcQ3IyMjo+PHjjCX29vb29vasOj4aje7Tl6aiomLixInCwsKXLl364e4DjT/S3t5eW1vbp7C3t7esrMzQ0HAkAY/QlStXOjs7GbM+gv4ZqKqqioiIkJWVLSgo0NfXDwwMRO6ODFRO19XVZW9vr6Wlde7cOSwW+9tvv0EQRKFQAgIC0Gh0U1MTkUjsM6oUiUSKjo4uKCj4/PkzvdFKXV3d8+fPsVispqZm/90TExOR+wEvX748fPiwjY1NQkJCQkJCdnY2Doe7deuWlJRUcHDw33///dtvv+Xn59+7d09DQ+P69euTJk2CIKizs/PUqVPZ2dnFxcXbt2/fuXPnu3fv0tPTu7q60tPTvby8lJWV161b9+XLFwiCLly4EBMTY2pqyo4/BO/izPy/HMAnM9SzkIKCQlVVFX2RRqPJy8uXl5dzMST2ycrKUlFRsba2Xr169bhx4xYtWkQgEAbZnlsz1HOLmJhYdXX1CA8SGhq6ZcuWPoU9PT2vXr36T9HChbCZ2T//TZ8Of/36T/lff/1bbmYGx8f/U15U9J9yL6+fDczNzU1fX3+gtV1dXRMnTqyrq4NhmEAgGBsb+/n5DVIOw/C2bdu8vb27urqWLVv27NmzPge8evXqhg0bkNdHjhxhXEUmkx0cHHJzc5HXW7dunTBhAgzDGRkZpqam3t7eA+3u7u6+b98++nGQLfF4PA6Hi4yMhGG4vb1dU1Nz4cKFHz9+7O7unj179sqVK2EY7unpsbOzq6iogGG4pqZm69atlZWVZmZmFAoFhuHi4mIMBqOoqHjz5k0Yhmk02vnz51VUVBoaGqhUam9vL41Go1AoZDL5Z9/zkePkDPVoPz8/AwODKVOmGBgY0KdwA8Y8KpXa1dXFONYMCoWSlJRERvYae2bMmFFeXv7w4cOGhgYvL69RMdQchw1yX24kREREzMzM/lN04gRE/5ihUBD9RpyHB8T4Q1NL658XenrQhQv/lktL/2wMwsLCra2tA629ffu2pKQkMjg7FovdsmWLr69vWFjYQOXIYLbfv39fsWLFiRMn9PX1+xyQSqUmJSWZmJgsXbp07969jKtSU1MbGxuR575oNHrBggUPHz6EIGjmzJlWVlZIJ5ZBdqc7d+4cjUarqqrS1NSsqKiAIEhKSkpJSWnFihW6uroQBK1ZsyY8PByCoISEBFFRUR0dHQiCNDQ0kDZiHR0dAQEBGAxGWFhYX19/8uTJyE1jFArl7e2dn58fHR29ZMkSa2trLBYLQZCPj8+qVat+//33uro6RUXF27dv8+yTheFBCwkJJSYmHj58uLa2VktLy9DQcPLkyVOmTMHhcJMmTUKaGAFjj6CgoLGxcWJiIv3xe15e3vfv35FaNCaJi4szPiICOKbvZWSg/vUqKpCKCpNyLBbqk0p/komJSUxMTFVV1fjx4/uvLSsrY+xXZ2Bg0NXVhcfjBypHvj6WlZV9/Pjx77//7p8I3dzcPn/+HBYWtmnTJmtr67t378rJySGrXr9+zdiXid57D4Ig+mDxg+xO3yswMLCpqcnKykpFRaWnpwcpR6FQ9ICRljsQBOXl5SHJDKGpqfnu3Tt5efmjR48iJdXV1X1aBhgYGJSXlwsKCt68eZN+Cz0uLi46OlpWVnbJkiWZmZljbJgqgdDQ0AcPHlRXV7e1tcXGxiKtJ86dO2dtbS0uLm5kZOTm5hYSEnL//n3kNhpLzkqj0XJycuLj48+ePXv9+vWnT5+2tbWx5MjA0J08edLPz2/v3r0PHz4MCwtbsmTJmTNnxmrDUWBwGzduZLxcshCZTOZ6l01nZ2d5eXkfHx+mVzAVFZXPnz/TcxKRSFRXV5eSkhqoHFm0tLS8devWgQMHYmJi+hywsrLy0KFDnz59Ki4urq+vR37zIRQUFN69e0c/JuOg6kPZHREdHf3y5cuoqKh169b9cIoreXn5goICxp/7MjIyJSUl9OZOkyZNKikpYdyluLhYS0uLRCJdunRpzpw5pqamZWVlbm5uSD5WUFCYPn364Ccddf7tUC8lJWVlZeXt7R0REZGamtra2vrly5ewsDBjY+PLly8vWbJES0srISFh5KcsKirS1taeN2/ekSNHrl+/fvHiRX9/fxwO5+bm1r9rDsA+yKS+3759Q/rYJSYmenh4cDsogDuOHTumrKzMjiOTyeSB5lXmGCUlpdjY2JcvXy5ZsgR5Cg5BEJVKvXv3blNTk5OTE4FAoM/skZSUhHSxGKgcgiAKhUKhUJYuXXr9+vWNGzfeuXOH8XTx8fHNzc0oFGrKlCkTJ040Nzenr5o3bx4ejw8KCoJhuLq6Ojk5mZ4UqVQqlUodaHchIaGKioqOjo6enp7a2tru7u7e3t7i4uInT57QszsSFf1cyGvk92VISAjyMKy1tdXZ2ZlIJPr6+iI9F6WkpJ4+fXrhwoXe3l4SiXT69Om0tDQvL69x48adPXv25cuXrq6uyD88Nzd3y5Ytra2tvDww0zAN9PCQTCY/e/Zs06ZNKioqWlpa27dvz8rKolKpI38saWNj8+DBA+RvQEej0bKzs7dv3z7sw4LGMgAL8VtjGZZg2liGRqO1tbVxJZ4+6uvrN27caGJioqGhMWvWLFtb2//97380Gg2G4fT0dAsLiy1btpw8efL69etI4UDlCQkJenp6Ojo68fHxMAzHxsYKCwvfvn2bfiLkh9SmTZs2btyYnJzcJ4zk5GRdXV1VVdX169cnJiZiMJiDBw/Sj3nt2jWmuycnJ0tKSlpaWnZ0dJSXl+vq6mpra8fFxfn4+OBwuKysrKCgIAkJiZkzZ6akpMAwfOvWLSwW+9dff8EwnJKSYmZmpqWlNXfu3ISEBBiGHz9+bG5urqGhsW7dukePHr19+3bGjBlYLBaLxVpbW5eWljIG/O7dOycnJ/ri1atX58+fz+K/DTOcbCwzYCI8fPiwnJzcvn37CgsLWXvKXbt2DbRqz549wz4sSIQAC4FEOAxMEyE/6Orq4nYIfSG/L5GmoUNEIBCIRCJ9kZ6Db926df/+fXqmv3//vr+/PwtDHQgnE+GAc3l7enqSyeTNmzezvEMJhUL59u1b//KPHz+Wlpay9lwAAHAXlUptbGzkdhTsxYNNKAUEBAQEBPoP9DMILBbL2ESgra1t9+7dkZGRIiIidnZ2X7588fLyio2NRR6msCFkbkIPtEJTU9Pd3T09Pd3V1ZW1p/T19bWzs5OUlFRXVxcTE+vt7e3s7Pzw4UNtbW1ycjJrzwUAAHeRSKSqqioVps1BAR7WZ9r6HTt2cCsSDhgwEUIQxKZxVzU0NHJycjIyMvLz85uamtBo9Pjx45cvX25nZ8eDX6wAABgJYWFhbW1tbkcBAIMZLBGyDwqFsra2tra2ZiwsLCysrKz89ddfuRISAADsICgo+MMm/gDAXdxJhExduXIlJSXlh4nw9OnTmZmZ/cuLiopAHzgA4DUwDLe3t7N2wGgAYC0eSoTh4eFIN5rBmZqaMu35293dzTgMBAAAvIBAIHz8+NHS0pLbgQDAgLiTOWg0Wl5eXlVVVWtrq7S0tIKCwtSpU2VkZIaSyWbOnMl0oEimI98DAMBdGAwG3BoFeBwXEmFRUZGjo2NLS4u2traEhISQkBAej29qapo9e/alS5dAexkAGEvQaDRoLAPwOC4kQqRvio2NDeNQvDAM5+TkHDhw4NixY5wPCQAA9iGRSOD5PcDLuJAITUxMFi9e3KcQhUJZWlqOsB9hXV3dxYsXRUVFR3KQkWtvb5f++ZliWAuGYTweLykpyd0wOjs7xcXF6cPqcwuVSsXhcD+1S3V1NZuCGduam5sLCwsZS5Ah1pqbm1l7InbUMnBM1h6TQqGMZELmQWbOYjkuJEJkZBl5efk+5SMcWUZHRycsLOz+/fsYDGZkAY4UgUDAYrHcnecdGV2J61/DSSQSGo3+qeEtWA6GYRKJZGJi8rM7Ojo6siOeMUxHRychIcHb25uxUFBQ0MbG5uTJkyw8EQzDRCJRREQEHJPHjzmSgcnwePykSZNYGNIgUDCLZlYautra2hUrVgw0ssxIZkwNCwurrq6OiIhgYbTDoKWl9eDBA4OBJl3jCGRmpZcvX3IxBgiClixZ4unpyd1ZAKurq6dOncryXyTAEJWWltra2jKdb2jYysvL582bx9rGcZ8/f541a1ZDQwMLj1lVVTV9+vSmpiYWHrO2ttbExITpKJXD1tDQMHnyZNbOhff161ddXd2Ojg4WHpN9uPCLEIwsAwAAAPAOHhpZBgAAAAA4j8utGAAAAACAu0AiBAAAAPgaSIQAAAAAXwOJEAAAAOBrYyoRCgkJMY5Ww89h8EIMPBIGL8TAz9jx/oNj8ucx2YcL/QjZh0gkUigUcXFx7obBdLgADqPRaO3t7bKystwNo729XVxcnOuzgvDCX4SfseP9B8fkz2OyyZhKhAAAAADws8bUrVEAAAAA+FkgEQIAAAB8DSRCAAAAgK+BRAgAAADwNZAIAQAAAL4GEiEAAADA10AiBAAAAPgaSIQAAAAAXwOJkAV6enoOHz7c2toKwhg8Bo5F+MMTwTBMIBDYHQYw6uDx+N7eXm5HAXDaaE2EMAyfPHlSU1NTXFzcxsamqqqqzwavXr3y8/MLDAx0dHR8/vw5W4M5ceJEYGAgiUTqU15XV7d9+3Z/f/9Fixa9efOGrTEMFAaFQgkICNDQ0JCWlnZycvr69SvnYxjiWs6EAcPw9evXPTw82P2p4B+Df86ZruVw1RjKScvLy7dt26amplZZWTnEXTgf50DVmdfiHOj6zJU4hwQencrKyn799dfKysqioiJzc/MVK1Ywru3s7JwyZQqJRIJhuL6+XlVVlUajsSmS2tpaPz8/CIKam5sZy2k02rRp01paWmAYfvDggaamJpVKZVMMg4Tx+PFjOzu7rKysO3fuKCsrOzk5cT6GoazlTBg0Gm3Tpk07d+5k69+Crwz+OWe6lsNVYyhxdnR0REdHV1RUQBBUWlo6lF24EifT6syDcTK9PnMlziEarYmwoKCgtbUVeR0REbF+/XrGtbm5uYqKimQyGYZhAoGgq6vLvkR44MCB0tJSCILa29sZy9PT0+fPn4+87u3tFRERefXqFZtiGCSMS5cu1dbWIq/Pnj2rrKzM+RiGspYzYYSHh9vb27P17Pxm8M8507UcrhpDiZOOMRHyYJxMqzMPxsn0+syVOIdotN4aNTMzQ6ZWIBKJb9++PXDgAONaHA5HIBCcnZ2/ffsWERERGhqKQqHYEUZBQYGhoSEWi4UgqM+cI3l5eerq6shrISGhCRMm9L9/y4EwvLy86GFgMBg9PT3Ox/DDtZwJo6urKyAgIDAwkH1n50ODf86ZruVk1RhinKzaZeQGPynT6syDcTK9PnMlziEarYkQsWrVKgcHh5KSkuLiYsZyUVHR1NTUtLQ0NTW1zMzMBQsWsOPsMAzfvXt3+fLlyKKAwH/ezKamJjExMfqihIQEmxqJDB4Go0ePHm3atInzMQw9QraG8ejRIyqV+uXLFzMzM21t7dOnT7MpDL4y+Oec6VqOVY2hx8mqXUZu6CelV2eejbPP9ZkrcQ4RlyeKG6Ho6Gg0Gp2YmOjg4PDmzRscDoeUwzAcGxt76tQpFAq1c+dOExOT7Oxslk/Ol5iY6OjoyPhbk0aj0S++vb29jM3PhISEpKWlWRvAUMKge/z4saqqqrOzM+djGGKE7A7jw4cPAgICoqKir169unHjxpo1a2bMmGFubs7yMPjK4J9zpmsrKio4UzWGHierdhm5IZ6UsTrzbJx9rs9ciXOIRvcvQmTGVwcHB1FR0Xfv3tHLExISurq6PD09PTw8ioqK6urqkpOTWX72Q4cOzZo1C4vF6urqQhAkJia2d+9e+lpFRcXOzk76Ih6PV1BQYHkMPwwDUVtbe/Xq1ePHj7MjgB/GMJQIORAGiUQyMjKyt7fHYDCrV682MDDIyclhRxh8ZfDPOdO1HKsaQ4+TVbuM3FBO2qc682ycfa7PXIlziEZrIoyPj6e/plKpVCqV8at9UVER/dehsrLy9OnTVVRUWB5DcXExkUgkEollZWUQBHV1dQUFBdHX6ujoIE02IAiCYbi5uXnq1Kksj+GHYUAQ1NnZefTo0QsXLmAwGHYE8MMYfhghZ8LQ1tYmk8n0RWlpaVVVVXaEwVcG/5wzXcuxqjH0OFm1y8j98KT9qzMPxsn0+syVOIdotCbCnJycFy9eIK+jo6MDAwN1dHRgGPbx8SksLLSwsEhJSYFhGIKg5uZmKpU6e/Zs9gXT1dUFQVBPTw8ajabHYGdnV1NT8/HjRyTaWbNmycjIsC+GgcIgkUirVq2aN29eQUFBampqampqTU0Nh2NgupZ9MQwUhqOj46dPnxobGyEIam1t7ejoWLhwIVvD4AdMP+eD1wLOV40fxolsg3xPon9b4sE4mVZnHoyT6fWZK3EOFaeap7JYamrqrFmz3N3dg4OD7969ixSSyWR9ff2EhAQajRYSErJ69eqgoCB/f/+Ghgb2RXLx4kVbW1sIglxcXFJSUugxwDCcnp7u4OCwd+9ePz8/PB7PvhgGCcPLy6vPXzwsLIzDMTBdy6YYBg8jNTX1119/PXTokK+vb1lZGfti4Cv9P+c/rAWcrBpDjPPWrVurV6+GIMje3j46Opo34xyoOvNanEyvz9yKcyhQMAyzP9sCAAAAAI8arbdGAQAAAIAlQCIEAAAA+BpIhAAAAABfA4kQAAAA4GsgEQIAAAB8DSRCAAAAgK+BRAgAAADwNZAIAQAAAL4GEiEAAADA10AiBAAAAPgaSIQAAAAAXwOJEAAAAOBrIBECAAAAfA0kQgAAAICvgUQIAAAA8DWQCAEAAAC+BhIhAAAAwNdAIgQAAAD4GkiEAAAAAF8DiRAAAADgayARAgAAAHwNJMJRoKCgwMXFxcrKigePHBcXZ2Njs337dhZGBQAAwEkgEbLR33//PWPGDBQKtXHjxkOHDnl4eFhaWmZmZv7scczNzZctW9bU1IQs9vb2kkikgTYuKiqKiYkZ3pGHwc3Nbdy4cd3d3cM+AgDwuLt37/7yyy8oFMrX1/fDhw/cDgdgPTS3AxjLHBwc8Hh8Xl7e+fPnkZJNmza5urrW1taiUKifOpSkpCT9tZ+fH5FIjIqKYrplWFiYpKTk2rVrh3Hk4ZGQkCASiSM8CADwrOXLl/f09KSlpYWFhQkJCXE7HID1QCJkLxEREcZFHA6XlJQ0wmPu3r2bRqMNtFZISEhGRmaEpxgJGIbpaZ7xNQCMXlgsVlBQEGTBsQokQs7p6uq6du3avn37bt26FRUVZWBgoKysHBoaWlRU1NXVlZ6ejvzfy8vLwcEBgiASiRQdHV1QUPD582c0+p+/VF1d3fPnz7FYrKamJgRBnZ2dp06dys7OLi4u3r59u46OzvPnzyEIevny5eHDh21sbN69ezfEI9OFhITs2bPHzc3t8OHDsrKyu3btKigoiIqKMjU1TUhISEhIyM7OxuFwt27dkpKSYtzx4sWLly9fnjNnzpEjRz5+/Hjw4MHs7OyamhoIgvqHQaFQAgIC0Gh0U1MTkUiMjY1l/18AAFis/wd7oOqDwWD6bJmQkNDnOpCXl9e/flVVVcXGxvb29sbExAgJCY0fP97f33/RokVMqzYwTDDATrdu3RIUFGxoaAgKCvL393/x4gUMw0Qi0cHBQVdX9/z5825ubnl5eWZmZhQKBYbh4uJiYWHhzs5OMpns4OCQm5sLwzCZTN66deuECRNgGM7IyDA1NfX29oZhuKenx87OrqKiAobhmpqarVu3wjDs7u6+b98+5OyVlZVDPzKjadOmHTx4EHl9+vTprKws5DVyXjwej8PhIiMjkcJt27Yh5RQKxcbGZvfu3Uh5YmKimJjYQGFcvXp1w4YNyJZHjhxh9RsPAKyEVOQ+hUw/2DCz6sN0yz7XgZaWlv71i0KhaGtrl5eXwzB89epVQUFBEok0yKmB4QG/CDlBRUVl37599EVhYWGkgYm3t7e3t/fp06c7OjoCAgIwGIywsPCyZcva29tzc3MbGxunTZsGQRAajV6wYMHDhw8hCJo5c6aVlVVvby8EQQkJCaKiojo6OhAEaWho9G+6mZycPPQjM1q/fn1oaGhgYCAKhaqpqdmyZQtSfu7cORqNVlVVpampWVFR0WcvQUFBFRUV+qKamtogYVCp1KSkJBMTk6VLl+7du3ekbzEAcBzTD7aEhET/6nPmzJn+W2poaDBeByBm9evDhw/19fVIHTc1NZWWlkZuzw50au6+IaMXSITcgUKhtLW1kdfv3r2Tl5c/evQo4wY3btxg/FhTKBT6awGBf9r65uXlYbFYejlys5TRzx6ZztXV9Y8//sjIyNDS0tLX10ee81EolMDAwKamJisrKxUVlZ6eHqb/rv6vmYbh5ub2+fPnsLCwTZs2WVtb3717V05Orv8BAYBnMf1gQ8yqz0BbMl4HmNYvZWVlCIJevHgxb96858+f79mzB6lWAx0QGB6QCLlPRkampKSETCYzPopXUFB49+4dhUJBnuFVVVX131FeXv7ly5c0Go2eGll1ZElJSRcXl5iYGCMjo99++w0pjI6OfvnyZXZ2NgqFqqys/PbtW/8dUSgUHo9HXre0tAwSRmVl5aFDh/7888+SkhInJ6eHDx96enoO/CYBAG9JS0sTEhLq/8GGmFUfplWgD6b1S0FB4f79+zt27HBycsLhcMuWLUM2HsoBgaED/QjZi0gkUqlU5E4mIwqFQv8p5uzsTCQSfX19e3t7YRi+ffs2DMPz5s3D4/FBQUEwDFdXVycnJ9O3p1KpVCoV+v8fVSEhIcht7tbWVgiChISEKioqOjo6enp6fvbIjLy8vG7dutXT0yMmJoaU1NbWdnd39/b2FhcXP3nyBIbh/v8WWVnZ9PR0IpHY2toaExODlDMNIz4+vrm5GYVCTZkyZeLEiebm5qx95wGAhfrf/7hx48aaNWv6f7CRtX2qD9MqAP237gxUv5KTk5ctW+bj4zN//nx6B+KBDggME2cfSfKXGzduIIMzZA5OAAACDUlEQVS2bNy4saSkhF6ekJCgp6c3YcIEeg57/Pixubm5hobGunXrHj16hBQmJyfr6uqqqqquX78+MTERg8EcPHgQ2VdHR+fatWswDKekpJiZmWlpac2dOzchIQHZS1JS0tLSsqOj46eO3Cd4Go2mr6+fnZ1NLykvL9fV1dXW1o6Li/Px8cHhcFlZWX3ief/+vb6+vpycnKen5/379yEI2rdvH5lM7h/GpUuX5syZs2nTpo0bNyYnJ7PnLwAALNDT0zN16lQIghwdHd3d3W1sbIyMjHR1deEB6hfMrPr037LPdYBp/YJheMeOHYxXbE9PTxqNNsipgWFAweB7BAAAAE+qra319vYODAycPHlyV1fXy5cv3d3d6+vrVVVVuR3amAISIQAAAI8KCQmpr68/c+YMskihUOTl5ZuamoSFhbkb2BgDnhECAADwKC0trQ8fPtB/rsTHx2/ZsgVkQZYDvwgBAAB4FAzDx44d+/Tpk46ODplMVlBQWLdunaCgILfjGmtAIgQAAAD4Grg1CgAAAPA1kAgBAAAAvgYSIQAAAMDXQCIEAAAA+BpIhAAAAABfA4kQAAAA4GsgEQIAAAB8DSRCAAAAgK+BRAgAAADwNZAIAQAAAL4GEiEAAADA10AiBAAAAPgaSIQAAAAAXwOJEAAAAOBrIBECAAAAfA0kQgAAAICvgUQIAAAA8LX/A6awbe0bv2WXAAAAAElFTkSuQmCC" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Medidas de decisão.
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: nvag
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 73 322.68
+## bloc 4 14.284 69 308.40 2.9785 0.02684 *
+## umid 2 92.911 67 215.49 38.7485 3.157e-11 ***
+## K 4 136.060 63 79.43 28.3719 8.316e-13 ***
+## umid:K 8 14.150 55 65.28 1.4754 0.18750
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>summary(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = nvag ~ bloc + umid * K, family = quasipoisson,
+## data = soja)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.9681 -0.6393 -0.0195 0.4854 2.3306
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 3.95369 0.07547 52.389 < 2e-16 ***
+## blocII -0.02928 0.04479 -0.654 0.516036
+## blocIII -0.07265 0.04529 -1.604 0.114420
+## blocIV -0.12544 0.04592 -2.732 0.008457 **
+## blocV -0.10795 0.04705 -2.294 0.025606 *
+## umid50 0.13404 0.09597 1.397 0.168117
+## umid62,5 0.21656 0.09418 2.299 0.025303 *
+## K30 0.27427 0.09300 2.949 0.004670 **
+## K60 0.30797 0.09233 3.336 0.001530 **
+## K120 0.32883 0.09192 3.577 0.000734 ***
+## K180 0.25540 0.09338 2.735 0.008376 **
+## umid50:K30 0.06322 0.12654 0.500 0.619324
+## umid62,5:K30 -0.10747 0.12631 -0.851 0.398532
+## umid50:K60 0.16561 0.12449 1.330 0.188897
+## umid62,5:K60 0.10735 0.12286 0.874 0.386028
+## umid50:K120 0.14920 0.12414 1.202 0.234563
+## umid62,5:K120 0.11839 0.12487 0.948 0.347229
+## umid50:K180 0.30370 0.12439 2.441 0.017873 *
+## umid62,5:K180 0.19838 0.12325 1.610 0.113208
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 1.198902)
+##
+## Null deviance: 322.684 on 73 degrees of freedom
+## Residual deviance: 65.278 on 55 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Modelo Poisson Generalizado.
+
+L <- with(soja,
+ list(y = nvag, offset = 1, X = model.matrix(m0)))
+
+# Usa as estimativas do Poisson como valores iniciais para a PGen.
+start <- c(alpha = 0, coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Com alpha fixo em 0 corresponde à Poisson.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+# Mesma medida de ajuste e estimativas.
+c(logLik(m2), logLik(m0))</code></pre>
+<pre><code>## [1] -259.6165 -259.6165</code></pre>
+<pre class="r"><code>cbind(coef(m2)[-1], coef(m0))</code></pre>
+<pre><code>## [,1] [,2]
+## (Intercept) 3.95368723 3.95368724
+## blocII -0.02927855 -0.02927854
+## blocIII -0.07265048 -0.07265048
+## blocIV -0.12543798 -0.12543798
+## blocV -0.10794857 -0.10794857
+## umid50 0.13404356 0.13404356
+## umid62,5 0.21656458 0.21656458
+## K30 0.27427290 0.27427290
+## K60 0.30796674 0.30796674
+## K120 0.32883188 0.32883188
+## K180 0.25540441 0.25540441
+## umid50:K30 0.06322288 0.06322288
+## umid62,5:K30 -0.10747272 -0.10747272
+## umid50:K60 0.16561471 0.16561471
+## umid62,5:K60 0.10735066 0.10735066
+## umid50:K120 0.14920392 0.14920392
+## umid62,5:K120 0.11838578 0.11838578
+## umid50:K180 0.30369921 0.30369921
+## umid62,5:K180 0.19837927 0.19837927</code></pre>
+<pre class="r"><code># Gamma-Count estimando o alpha.
+m3 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+# Teste para nulinidade do parâmetro de dispersão (H_0: alpha == 0).
+anova(m3, m2)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m3, [llgcnt]: alpha+(Intercept)+blocII+blocIII+blocIV+
+## blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Model 2: m2, [llgcnt]: (Intercept)+blocII+blocIII+blocIV+blocV+
+## umid50+umid62,5+K30+K60+K120+K180+umid50:K30+
+## umid62,5:K30+umid50:K60+umid62,5:K60+umid50:K120+
+## umid62,5:K120+umid50:K180+umid62,5:K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 20 518.65
+## 2 19 519.23 0.5802 1 0.4462</code></pre>
+<pre class="r"><code># Estimaitvas dos parâmetros.
+c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0</code></pre>
+<pre><code>## PoissonGLM PoissonML GCount
+## NA 0.00000000 0.12875777
+## (Intercept) 3.95368724 3.95368723 3.95487435
+## blocII -0.02927854 -0.02927855 -0.02925363
+## blocIII -0.07265048 -0.07265048 -0.07259276
+## blocIV -0.12543798 -0.12543798 -0.12534177
+## blocV -0.10794857 -0.10794857 -0.10785674
+## umid50 0.13404356 0.13404356 0.13388357
+## umid62,5 0.21656458 0.21656458 0.21632039
+## K30 0.27427290 0.27427290 0.27397250
+## K60 0.30796674 0.30796674 0.30763762
+## K120 0.32883188 0.32883188 0.32848139
+## K180 0.25540441 0.25540441 0.25512492
+## umid50:K30 0.06322288 0.06322288 0.06321988
+## umid62,5:K30 -0.10747272 -0.10747272 -0.10732539
+## umid50:K60 0.16561471 0.16561471 0.16553912
+## umid62,5:K60 0.10735066 0.10735066 0.10734196
+## umid50:K120 0.14920392 0.14920392 0.14914452
+## umid62,5:K120 0.11838578 0.11838578 0.11838048
+## umid50:K180 0.30369921 0.30369921 0.30351780
+## umid62,5:K180 0.19837927 0.19837927 0.19829595</code></pre>
+<pre class="r"><code>splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Perfil para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))
+abline(v = 0, lty = 2)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>dev.off()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+<pre class="r"><code># Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))</code></pre>
+<pre><code>## sum mean max
+## 0.061875318 0.003256596 0.022121891</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Testes de hipótese.
+
+# Teste de Wald para a interação.
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a == max(a)
+L <- t(replicate(sum(ai), rbind(coef(m3) * 0), simplify = "matrix"))
+L[, ai] <- diag(sum(ai))
+
+# Cáclculo da estatística Chi-quadrado.
+crossprod(L %*% coef(m3),
+ solve(L %*% vcov(m3) %*% t(L),
+ L %*% coef(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 15.96558</code></pre>
+<pre class="r"><code># Teste de Wald para interação (poderia ser LRT, claro).
+# É necessário passar um objeto glm mesmo fornecendo o restante a parte.
+linearHypothesis(model = m0,
+ hypothesis.matrix = L,
+ vcov. = vcov(m3),
+ coef. = coef(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## umid50:K30 = 0
+## umid62,5:K30 = 0
+## umid50:K60 = 0
+## umid62,5:K60 = 0
+## umid50:K120 = 0
+## umid62,5:K120 = 0
+## umid50:K180 = 0
+## umid62,5:K180 = 0
+##
+## Model 1: restricted model
+## Model 2: nvag ~ bloc + umid * K
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 63
+## 2 55 8 15.966 0.04288 *
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Predição com bandas de confiança.
+
+X <- LSmatrix(m0, effect = c("umid", "K"))
+pred <- attr(X, "grid")
+pred <- transform(pred,
+ K = as.integer(K),
+ umid = factor(umid))
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# Matrix de covariância completa e sem o alpha (marginal).
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ # exp(pred$gcnt$eta + x)
+ fitted.gcnt(
+ lambda = exp(pred$gcnt$eta + x),
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 300)
+ }))
+pred$gcnt$eta <- NULL
+
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, umid, K, modelo)
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(pred$modelo),
+ lty = 1, col = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+
+xyplot(fit ~ K | umid, data = pred,
+ layout = c(NA, 1), as.table = TRUE,
+ xlim = extendrange(range(pred$K), f = 0.1),
+ key = key, pch = pred$modelo,
+ xlab = expression("Dose de potássio"~(mg~dm^{-3})),
+ ylab = "Número de vagens por parcela",
+ ly = pred$lwr, uy = pred$upr, cty = "bars", length = 0,
+ prepanel = prepanel.cbH,
+ desloc = 8 * scale(as.integer(pred$modelo), scale = FALSE),
+ panel = panel.cbH)</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+</div>
+<div id="numero-de-graos-produzidas-em-soja" class="section level2">
+<h2>Número de Grãos Produzidas em Soja</h2>
+<p>Análise do número de grãos por pacela do experimento com soja.</p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+
+xyplot(ngra ~ K | umid, data = soja, layout = c(NA, 1),
+ type = c("p", "smooth"),
+ ylab = "Número de grãos por parcela",
+ xlab = expression("Dose de potássio aplicada"~(mg ~ dm^{3})),
+ strip = strip.custom(strip.names = TRUE, var.name = "Umidade"))</code></pre>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAJYCAMAAACJuGjuAAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nO2dB5wNxx/AF9HPue5O770kCEH0Gi16DaI7guglcogSooYEKSTReydB/nr3tARRwkU9nHrHufrmv7vvXXk722be7L537vf9fOy+25mdndv72rc7O/MbDgGAAXCurgDwdgJiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBiAYYAYgGGAGIBhgBi0WI9dEkxSWNP1lVxR9K0WOcnT2sZKpuSMLl4QKdXajn+7r47Xj796axCcQhF9vP36RYhk8OWjLaNnNnxvNoBUjlpWayoKnFoaQPZpPPjYp6UnKGS4+8mkQolhLbYyvHmrA+JsOQejeewJ9+tZkUnG6lVIZWTlsVa1ROh+1yEXNLZKIQGf6ecI6HyGeUS7grm/BGL0PiP5XKIySd9n6IDn6lVIZWTlsUKGcXf76S/rpD6svtL5RyHA5c2rnVEIV00R6DdHLkcYnJczXwLx0RpVCE1k5bFCh7PLzwvy6YlDG338RHlHFN9zlun+72WT08U61bDaLkSbMmnGhQsfkC1CqmbtCzW2CH8IvMTpeTlWSIVcwxvgVB0hvPy6XaxIluFyR5DTD7fPC52eOYnGlVIxaRlsRa1QigiMEEuKZz/F8o9Vcwxpwn/FZb9gXy6TazYwf/JH0NMHrMIoRiPeypVSOWkZbHCckWgzWNlkwY/ROinUco5bgW8RucaW+XTb3MxCMUPOhEeHh4rk0NMXjIUoZsN1aqQyknLYqGNPeaHxMimbG807vsNajk29/puXLh8+rZe3LCDaAgncALPYUuOHzF+yZSnalVI5aRpsQDjALEAQwCxAEMAsQBDALEAQwCxAEMAsQBDMFKsNetUky1TVZPD+6iX3iFWNXn4LfXdRY7OVk2+P0g12dpWvcvewPuqybOPqibbuDVcNTm2g/rufcJVk6dYVJPXrVEvXQ0jxRo/QTV5bQvV5CsF1EvP+EI1ufIh9d1FlnZSTbaUUk2O5dTdLqX+Z+u0VDXZxqHKqskvMqrvXuCKanKLtarJE8arl64GiKUCiKVeuhoglgoglnrpaoBYKoBY6qWrAWKpAGKpl64GiKUCiKVeuhoglgoglnrpajAT66qvl5Ts2bFNKcmRVTXZM7NqslemnKrJWTylW3JmwTJ5OFkF9eTMWBUcyOqBbSroiZED38QwWT1dJtnrotliHS2yzc1ZkNnVNdAk22+uroEWhfeZLlYpi5uzLoura6BJtr2uroEWJUAsDBCLAalQrBO/DNmktUWN48dPnzl57LRyBlZikVRUs1KOOC2W4SfRvcQaVZHL/ckRi2VTuyzVpypl+rEpt0hrSyKbqnt6N9ljWcLZ+E3YVkf8qLCDgA6xmFc0qVLjP6lXZaPm8dXEYl43nsNfDrZYfnk3W652+yX1VcK9xLL8yvW3fXh3B3YqfLfZP23DfiF8i40zuYN/+yJzdcvSwkOGDx/evPIZYWO9vvzn4Vj5yei5YjGuaFKlxrSxWAb6HNU6vOoVi3XdLJYZJaacsOzN2n1SU66WY30VcTOxNnLDbR8+PCBN2t7qYOIn7AzgW2xsG8Qvevpbfhov/FRFvGBZ6v9PpQICesRiXNHESp0OWG6xHEw3XevwqmKxrptldMk/+OUvvfhFE+5Ayvoqk3rEspw+Q3xOjgr/9fu1sqxbw69/qGfbWPu4xjlxUiyaiiZW6sd0p/hl4fZah6cVi6puS9/ZIKzWCtenydzmlPVVxn3FWtAsYHvVLO9u+LN65lKrLJbvG3lvEX77TpVKNhPOwI7W+TwaHEq55eTQtm0qLbPt3qLKmaQiGx0R12cqbbAXPapg1vI/q1SCUCwmFbVXanI24YcqDbQOr1csJnUr/VFy2cO9TqSsrzLuK9b2NlyLVZvzFWi5ckuBIhbLn305/pxMqrLfsr+5cAaq7rYsyzQ0xZbT1fg7i/HZ/xB3/7iaXayvquZ5b4b4aVZL+zGq9lo6OSDTFuVKEIrFpKL2Sg3xEX6oU0Xr8HrFYlG3zdzoPoWLjxY/nykdYklZX+VKuK9YlincTv5/CMffbY7m+P9VC/lzcijjUov9mr2d/1C3UYotc7itFssebrJjgQdOnxnIfc1/OJY/8U5T+Jus4PoqV4L0q5BFRe2VCs4h/NCwodbhdX8VMqjbV1yVBWtacFOEz5+3cKyvciXcVawapy3TucP884hwsziL22OxLOLPySJuf+I5OTm9TbviVVJs6c01atmue935WJmnsgiX8n6tHTbmbqNcCSKxGFaUr9T4DMKFoXoHrcPrE4tN3YZzK/mTGFSb/7jsXYfnVbWT6GZi7eE+tX2oarGdk5nCOZmdeE6+Em8dN/Nn4FCxboctbaqk2NKLw29VbVsCOvJnLdt2h5SiXyhXQo9YjCuaWKm5nGBMuRFah1cVi3Hdpop1qscX9ntVx2dBtZPoZmKd8SgptuYuayJ7TlZz/A0B/+MiS4hwYf+oSoot07hpWHEd+BIs/8uwmn+KaWbfdHKI8Nx1IM8+5UroEYtxRRMrtT/TXIvlRNbdWodXFYtx3daL7crv97Ic/HCXfZOOk+hmYlkGcfWW/b5hfJBwj8nx/z+mCP9dZnP8/dF8br3ldJVss49+25ibz5+TcXuHFK6UYsvxgtnmHD/+xe9iMW0+FO81xzU8YjnRdJxwb2F70llVbMhXfc9YDrdYolIHXa902FY0qVItKp+2fNlc8+jqr3TY1s1St/kZy/pc+49Xai00ik7TdxLdTawzU8r7ZsrfiD8lE0pzTVaFlOUa/cifk/qLp1bkai207G3qk63vdq7i1KM1s1Tf2dBzePIWy4HWeQLqz7YV0+x98Zxsr1eiVmteqdP5C9nOUXD2g4drFq7dfqdaHXSJxbaiSZU63rFGx+4nNY+uLhbbulmOtm3Uvc1uSzvba7Gy+k6iu4kly2ndL2eVOGH7W50pN1xHZvqX0M5XVCcUL6GZ1U3fSUwVYjFjUUU9Zxe6zaii7ySmLbGma94VC4BYqug7ieaLtTG9evdq15PN7WvomdPD1TXQIv0Gs8U6WnG/m7PM09U10MT7N1fXQIv39UQyYSvWe6xKMoq/07m6Bpqk+9vVNdDiPRALA8RiAIiFA2IxAMTCAbEYAGLhgFgMALFwQCwGgFg4IBYDQCwcEIsBIBYOiMUAEAsHxGIAiIUDYjEAxMIBsRgAYuGAWAwAsXBALAaAWDggFgNALBwQiwEgFg6IxQAQCwfEYgCIhQNiMQDEwgGxGABi4YBYDACxcEAsjKh40j1ALBwQS8LuCumzd7xLtg+IhQNiObInz9bXLycWjyTaCcTCAbEcKbtDWHaYSbQTiIUDYjkQnz5KWP3QlWgvEAsHxHLE456w/Hog0U4gFg6I5UjPYH7xtMB+op1ALBwQy5EXlRpMGZ93EtlOIBYOiCUhfvXnE88S7gNi4YBYDACxcEAsBoBYOCAWA0AsHBCLASAWDojFABALB8RiAIiFA2IxAMTCAbEYAGLhgFgMALFwQCwGgFg4IBYDQCwcEIuQPZMn75VuA7FwQCwirB0Kjx1bqKPVcSuIheNmYu0NHnddus2dxFr0fhRCUZWXOG4FsXDcSqy4sun8c6YLlmx1J7E+3CUsd3zouBXEwnErsZrm/A+hLelXOW51J7HKnhKWJ8s5bgWxcNxKrHdEpRqUcdzqTmK1my4sp3V03Api4biVWNy/wnJQkONWdxLrb+/fYmN/9b7kuBXEwnErsTJ9Kyw/qOS41Z3EQoffy5y54hHJRhALx63E6pP5GEIz0kuGyLiVWAi9eYNtArFw3Eos1CJ9lkwZ50o2uplYMoBYOO4lFnrw4ybsggBi4YBYDACxcEAsBoBYOCAWA0AsHBCLASAWDojFABALB8RiAIiFA2IxAMTCAbEYAGLhgFgMALFwQCwGgFg4IBYDQCwcEIsBIBYOiMUAEAsHxGJAmhUrJt4aHyOfBGIxIM2JFdnP36dbBEI5OI6rgND5ydNahkqygFgMSHNirQ+JsOQejdCn4eHhz1BUlTi0tIEkC4jFgDQn1h+xCI3/GKHB4k+reiJ0n4twzAJiMSDNiSXQbg5CtRp4Vz2LQkYhZE2fOD78yD6R+aWJK2kyIBYDSs23/bk1/dIt1q2G0QjNjo/qXNAaPJ7/2fOybXtUjUoiJQKoK2sSzMV6ePYR4xLdS6zoK1eipdv8S9j+3HWjNHbWK1ZkqzDbh1vc07FD+HXmJ44Z0txXYXibbIWztnuinZEAtxJrTa7cuQPXSjay/iqMHfwfvxRuqx7nR4ta8R8DExxzpDmxmvd4hSK7fcy0THcS64T/EYQO+Z1y3MpYrPhBJ/jnwdiQVwjN34nCckWgzWMlWdKaWGfzCQ160bkvsCzUncRquUhYfif5n8NYrCGcwIkTLYdNP8T/uLHH/BBpO2laE2tDU3HVZCPLQt1JLFu0mVNlHbfCKx0ctmIdFM+4tbQ0uIFTuJNYdTYIy/X1HbeCWDhsxYopNZtfziwTy7JQdxJrRVH+cS2siCSCF4iFw/jm/VKxyj0rFb/MtEx3EguN9unQwUd6Kw1i4bBux4reOmerwht5WtxKLPTPkiVXpdtALBxoeWcAiIUDYjEAxMIBsRgAYuGAWAwAsXBALAaAWDggFgNALBwQiwEgFg6IxQAQCwfEYgCIheNeYv3TsdR7o15KNpor1t9tS1YcF0m2D4iF41ZiXfWZcvxg+0qSV9imivWX94wT+z+uEU+0E4iFQyzW/t5Nxz80pCoINZ7DL6wNvnXcaqpYNRfzi4QPfyLaCcTCIRVrUtCMlb19LhpTGY8HCQ33oqXtHLeaKVbCOy+E1cLuRHuBWDiEYln87/HLpeWNqUzOu5PqJKAfOzluNVMsa6anwmp+L6K9QCwcQrGmDxKWCTnvGVKZ1l387qLYypLvIVO/Cht/xS/elF2lmTElIBYOoVgTR4mrgFtG1AX9k+H98WMqNZYMdWIt1tlNh7CRgUnc8u+3bXnFVlbFDHKAWDiEYu0uLfxNDgeRPTXppVuRLD4+2ZdLtrIV62nDvK3KFz2tmP5oRM3mPyUoJssCYuGQ3ry3+OjMwzVB9KNwnl1QHs26wu/9xwid8jvruJmtWG168v81luV/zrJMEAuHVKzX097N1WgP7dFiB2cr4FUf69prI9Q3t6jUFMk09kzFCvMUvwabSS+LTgFi4ZjbQDq+9gMUN6WUbIiDhLrjsoiPZKskw0GZinW+uLgaPINhmSCWDKaK9Sq7+DRZ7ze5xKnV4koeFD6MGeqYwFSsJ9nFhqra0vALTgFi4Zgq1rW84mrMlzJpJ31uop/L/IfQXt/rjils77H6tI5ACd/IXzRpAbFwTBXrSTZxXt5O3+FJUaWX8MtJvuVKFNwpSWIrVuQnPu/l/YDtyEcQC8fce6zW/eIQ2uV3H08Z1FJcRRz/K06axLod6/HBm2TNVJqAWDjmivWkRrFP6wX8gSesV3n+h/5YOCCWBOv/5q6VUehBwD7lfdxKrDc/lf4B2whi4bhFfyxri89UUt1IrEcTA+qsxyOegFg4biHWd2XVHtLcRqyzvXL2+ksuAcTCcQexznlfUUs29SW0ItErq+X5SqGHI4iF4wZiRRbF71pSYu5LaHkefBFQbT32vJoIiIXjBmINbq7+9M/4JXR38pfQF3p4dDqukg5i4bherA35nqlnYPsSOsdrYUXwEtq6s36uSWGqWZwSa67umqQAxNJEtaVBhO1L6BLiSvdL6KglJcsu1boloxPr5axODerXr+Otc18HQCxNWg7SysH2JbSHxkvo3e9l8up41/7Di2m5Gu3RbqanE6ttltYV+nct3UHnvg6AWFosKqP5OtjUl9B7/Ne/fjC0uDhiNWy0V4dzesqkE8vzGApGaOYdnfs6AGJpcF69pUGE9Uto39oFlF9ClxXjbbebyWv1mWfva1j6/T5lK46QzhZEJ1ZRhPq9QmFNdO7rAIilzutS6i0NIma+hI5PL17Kfuj6dEzOfnfx9Cd5hh49OjjvU8etdGL1vYdWj3y5OJvOfR0AsdT5TKOlQcTUlnePB8Jy0vvenW/IJQ8Su033H+y4lU6s0IahseU5rgVxHRGIpcGqgnqak0wVqwdvTtysDB8ojPV+V5xz49C7jlvpmxte/PzLa6L62QGx1LglnUVLHlPFelqqwQC/TB2VkiseEJb7KztudaodS6YTkTYglgrxNUN05TP3JfTdGtlaKfs+qouwbDPGcSuxWOE3krjUkqKSIJYaIbX0DXs1Vayd/gPVvp5flWm+YUOzsq8ctxKLNYlLAUUtQSwV9uTWGQ3JRLHih/nvUM/xelr9+tOljWDEYu1vtmefnR21COsoAmIp8iCX3psL88SKbF6HKtoJsVivtyVvI4s/YgfEUiLho6HamWyYJtZ/ZQbQxaSgvHl/8NsuhGQGlugAxFIipIZi7yYpZokVmn8c5egdOrGOenJtEPphC80RQSwJvxZ/x3/QM4R+D5Bp1lbAJLH+zTufdlc6sWr+EDYaoej2NEcEsRxZXHhvzI32deLvB27Sv5M5Yt0rOpl6Xzqx+iHhJfSbPDRHBLEciMkpdBaILb++1jCCvUwR62X58fQ704k1AKFPEdpSlOaIIJYD123/O0d90IgkspkZYkXX6ufE3nRifTP53w7PV3tQHRjEcuC+p/jU1dDzAcleZog1sPobJ/amEyu2kdA8WvIFzRFBLEdqCIHc96Una7oxQazVhcKd2Z2yuSF+64QvVlOMREMglpTrudotHJJB8RWvPMaLdd5HdhyqbujEGlVbiLh5bA3NEUEsCc9nBxcnfetquFivynzvXAF0YvmKYeZeVpbPqg6IhTGzDOEMSMaL1YeqKSkFdGIVEZtjY31ojghiSdkZ+B/pLkaLtTE/1f1zCujE6iB28dtYmOaIaVCsiItqV6QbAUeISzRYrIeaAxs1oRPrZKdHKPLnnENojpjmxHrR26Nw9r7SGQeTiHp3NnmZBovViWzeHDkonwpnpvPkuA8UT5YaaU6s1j1eochu7ZSSO3ajKNNYsXYWjHC6DNquyRemfrmJrj9FWhPrQr4YfhmdW+HpfX7pV/IJqhgqVmQ+6tkQkqET66+bMdRHTGtibWgqrprIv2I+5XWBplBDxRpBNcJdAuVI6JLSga/6SWtiHbRNZFhW9g79WUGyeUsTYSzWmbYlGqxM7Hh1yYdwhPuzURUrjpL2iqcTq9sEcSUTm1ybtCZWTCnBnSVl8DCdQp/RnnSFshVre9DPp3dUTuy+2vBrsr2fFxZGQheRtE/QiXWl86IrN25cak5WAxtpTSx0qViVnu8Xl42MMK9EJEJhX3QeeICwTKZixQRsHtvpsz15bCO8thfDbnNeTu/aV3lys88YjoQuCKN0CIjeOmer7D2pxfOiEAOk78rpgVPIimQq1t+BXgNXTQn4QHgbjuJKbJCm38/b/tdvi/VQ2p3lSOi+Y/7Yt2/fzto693Ug7YmlxMvCwpdk2R/5xR0/XbGBkmAq1qV3VvLLfzOL3foW18TSPx7NLyKLKXVwtY2EPsBkJPQR24ggGKXjFJ905Rd3vcUOfsFkc7oxFetKht388n6WcfzydW5MCGuWx8Jqdh+F3W0joTs5OxI6JRAq0hnW5xcCjd4IEn8YSda7nKlYf+X2+mL3d/krC28Apn2MJSdkEFvalig15DIaCS0CoSKd5z8/8d4kLuAYv3xTkiwOBlOx3nhv7vNB+00F+fo8l+uFVUWYS9HaULENgM1IaBEIFek0sZWn2z6sy73u4enGrcj2Ztvc8Ev+zY9O1BW+mCfJvXk65fPDvcvdK5K1iUOoSBxTxJr0YeIbsW1V/YtPIIwIxbiBdH1lv5JfvUHoqfclueRj9XIVGkDYURlCReKYIdYxX+I+WCkx6JXOZMVX5cRAqEgcxmLFTMubLt/Xjl8kT/NudqpMY8SKcLKfe0ogVCQOY7EGVj8Xa/nAsWG63afOlWmMWLObsSsLQkXisBXrmo9wd/LYK2VgWLXJU3VhiFgxeU6wK4xWrKeXSQbupiStibXpI3HVOMV3312/Q04WaohYy/BGd3roxIruzXF+k3UH3XEgrYn1+wfiqurepC3xNSY6W6gRYlnLbtPOpBs6sULSBe/cGtyFKnRSWhPrVW6hP+bveZLvG6ZVo/svmQIjxPqjJMuJ7OnEKjxKWC5fR3PEtCYW+sOr/3f9vJKHvZz0uemQHrfxy8VEgRuQMWI1XkK756mvv8Zm0aQTK6v4NiK+Ok0t0pxY6L+v+k9JbkuOKLLMIfVBufojewYod3eSxQCx/vGlehbjv0L7Fhk6tHB/yVbKVzrinWh0DmGpPaOQI2lPLEf6SsI0NJ7ILy74k7WXGiDWZyMpd/zh/SiEoir/6LiV8iV0T+ERekFF4bNUVS3SuFi7gh47/PzYQ+yz3IMsJiN7sV540b4KqCVG694mCaFNJ1ZJj4y+vr7pM/OL7KTdSNO2WI8DdztuuGYLvDZmIlEx7MVaSNXPXKCs2KX5ZDnHrZRD7JtOmmJnQjHCeqRpsawNh0u2vPEQbuWtNRSnN5WFuVjWUru1M8nTTuzSPFvyDU8n1tqryZ9nEtYjTYu1oAIWVGxW5fPo6dCqcoN4lGEu1p/FqNsa/vZfHxu7zl/SLwJmsccxTqyr3uexbdZ5vtkzdlGfEh6DuVjtSa8PKTj8bqZM70mHTYJYOIaJ9absAtntd4ljI7IW676HU3Ehnz7FNqV6sazL65doZ2FapGFijWzGqm2btVhTu7At7y0Qa3CVnad/DNzFskijxDrsr3/qCQ0YixWfz9m34hipPSjIqXzC0O7DgU6/fUuBQWI9zY8NBaWGsVhsXxOKpPagIHNs7bP5SNv/1TBGLOtHg7Uz6YWxWC3l7/2cIbUHBZlrG0aZ+6pGPhKMEWvOe3Thy2VhK9Z/ns5GHMVJ7UFBzgcJjzO/56ftdiiHIWKd95EdAEMJW7FCerMszUaqDwryRYlFuyf4H2RZpBFiRRRfyrI4pmLFBmGdXpwn9QcF2d7ug77XmJZohFht2V4UmIq1qRLDwhJhHBQksp+/T7cI/sI/eVrL0KSVA2mwgTTi4sKSpFMEqMNUrI8WMSwsEcp2rIQdkxZclMm1PiTCkns0iqoSh5Y2SFw5kubEetHbI2+6tlQRphVhKdZVH8oefqrQifWqDn+DlW4s3vjxRyxC4z9Gq3oidJ+LsK8cs6Q5sVr3uJP/V+Vw3FSwFGsYVbh+LejEGl1sxb2Y64PWy+ZsNweFjELImv66feWY/PaJ9SzY/50SvymlXsgX3ay3cjhuOhiK9cr7H2ZlpYBOrFoPhaX1C7mMtxpGo2AhOJznZfvKtv11fm+RHFTBj8yEUKz4Wh1vxvxR6EeF5A1N5ws3WArhuClhKNbP9ZkVlRL+7yySX+t71kGsYNtqgEy+yFZhCI0Vrq6Zn9hX9pS7N0XWV3CyyoZDKNaG94T3SRYvhR5VB4t6Ci1Y8uG4aWEo1ruE4zh0Un697c+t+YrGQazB4t3VLZnH1NjBQtfpRa34R6HABPvKMcdb91UYYguSGPivfPLzzJ2RUjhuatiJdSaIacWSoPsq/LH7ybvn5gZ9juWKH3QiPDw8NixXBNo8FtlXjrx1Ys0QL9xxOR7KJ4+oXqyqUjhuatiJ1ZUwXrNe6MSyDk/HPxY2wWeBGSI2yJ9AG3vMD4lBiSsH3jqx/vETrlXf1JJPPe33QDEcNz3MxArzfKydiQba/ljXVyw+TtfV4q0TC33rO3phG4VvwqgSyxnUCIOZWJM/YVSQFIg2g0PcjmX5YuAchf4BY0hne9YHK7Fig06xKQgDos3gMGwgPZ/zpnYmCliJtbYKm3JwINoMDjuxEqqw70Enwkqs2su089AB0WZw2Im1sBrLfmIpYCSWJRfjh4pkINoMDjOxHnifZVSSFEZi9ZZ9d8IEiDaDw0ysXv0YFYTBRqwnnvdZFCMLRJvBYfUS+pTvE3wjG9iINZNtlwsHINoMDqOX0AkVv2dWJSlMxIovwLRHtyMQbQaH0Uvo5eXi5bIzgYlYO8swH02YDESbwWHzEvpVnj9ZVQiHiVj1lXr6sCDVD7E3ADYvoac1YlYhHBZiXfSTTgXHEhALh+4ldFXHrQ+9DOmYaYeFWP3HaOehJ62LFb8l5Hvp7Hh0L6ElQ9A+1z1bjovCcT/JcdvpMlRI42KFV6w9so//SseNLF5C38x5T+fOrgrH/U1bp4tQg16srXPp3q+6lVithXdTV/wdrzYsGkg/1R3c2kXhuBOKGPhsgWjF6tc19A+ueAm5kYWauJNYEVnErv7B0x22MhDrmpfe/nOuCse9xeChB3RiNY5H3QvGPSNtdBdxJ7Hu2kYMTR7lsJWBWB0m6s3pqnDc9X5ytgR16MTqj6z5RsiP0tHEncSK8xa7ojdw7DzivFgXfHXHBXJROG5j2xoQrVifxB/j+K/oqkqZ1XAnsdD35a+i6C8qvHHY6LxYrQlGKMyq/C+KGmF2OG5j2xoQdct7Ec8KMbeWfEhzRLcSC30f4JmlneQBzmmxTgcQhACxzvP1zGJ2OG6D2xoQ9VPhXxufoaPfb6c5onuJhdC9N9ItTovVlnBIlfnhuOd97Nz+2jCONqMDdxMLx1mx/vKN0M6km7v9ylWbLpXfSbHiCxxwan8dMI42o4O3X6yuE1nUws6/uaYcP9i+hmTgipNibSvv1O56MCDajAbEYm3o2/VrlpcATZwU67oXPk8DPU2FKZCsDRY6bnVSrIbUk6nqhn20GS1IxfqkxIJf2+ajD/9NjpNi9RvNqB4iOcTXiEvbO251TqwrtJOpEkAnlkq0GU0IxVpfQhjIPyd+mLQAACAASURBVKIzzaEocU6sMC+mHclzirNZ/NTJcatzYn0mndvOAOjEUo42ow2hWL3nCcuwbDSHosQ5sUZT/XdTpPVX/CL+Q0k7uVNiRXqxDQYsC+NoMzogFKvrD8Iy8h2DBujJ4ZRYz72ua2ci4F6eYbu2NGos+fWdEmthM6dqpA/G0WZ0QCjW7MbC1fGX92kORYlTYs1szaweNp6MrtV0sbT3vDNiOTGZKgFuH20mqtynV+4t9jlOdSw6nBErJvcxdhVRxhmx/ixu4BiKJJzq6DeX5oikT4WP+xfKVd9Mr5wSaxnV6HBinBGr9Rx29VCGQqzhFvRyVqcG9evXoQpT+3Y3kFagimdBjBNihXo+Z1gRRSjEelIStc3SukL/rqU70BzxrRbrz8LGjSVMiRNihejujO8UFGKtqow8jwlNWTOloxB08VaL1cKUrxlnxIr2v8CyIopQiFXmW1QUoX6vUFgTmiO+zWJd8zLp3RO9WKursayHMhRi1fkf6nsPrR75cjFVq+XbLNZQQ2YPkYFerA8NiYmKQyHWyyUotGFobHmOa0FzxLdYrEhvlhO9qkEt1rkAub5fd8d2+oxxMwl9c8OLn3+hepX5Fov1/UdM66ECtVgD5Lokn/YauGpKANk4IS1S+yz2RkArlrXY72wrogypWC+WTlguXAYivG7gidZSwojdf/1kkuhJ7bPYGwGtWPtMadIWIRTrSGCzUS0L8vt8J3dNvRYkrrotlEmjJrXPYm8EtGK1onoTQQWZWBH5dvHLX0vFo9LbZJIvFhFXwbMYVCyJ1D6LvRFQimVSk7YImVjbbdOxlDh1tIBc+22U5zl++argfgYVSyLVz2KvyauLpLPmUoo1oRfVblSQifWbLdZord+7TZZN/7HA5kcn6raXTaMl9c9ir05kcKZ8GbuTdUKnEys28AzNbnSQiXWqgNDG8MLrnIdCuKQNlf1KfoUNg3MKylnsbcMd8VnsdWCuWF06hKMXvZsS3VXTibXOsNlDZCC8eW/T5TkK+2jgfGMm9pGFsh3L9l7g2vDRe4mPaKpY1wOEEAVxRU6Q7EQnVoOlNHtRQihWxOCs3h5fRJfeZVB1ZKAUK++x61b0OiBrvQIDSB+xTRVrVx1x1ZboPQaVWNd9DI6y4QBxA2ncnXh0uIhpzSG0Yt3IyHE9Ey5y21DCJLIwKSaLdbqouKr6B8lOVGKNHUSxEzVULe/dpjKvhzJ0YtUYfv7qqHXnOf55K+EzwiOaKlb8u0Kr36qiRFcTGrFic/1FvhM9NGI98ySMPOIUdGIJj6/Wsec54e81jvCI5t68XytVu1/DIueJ9qERa6uZt+50Yi1sxb4eytCJ9SX/70W1/dwtlDR4VTcmt2PFbp+zmfBBmkaspj+T7+MENGKVM/HWnVasFT1Xfl++Qz7/wXFoN2m72lvZ8n7HiyAiFgMoxDqb15xe03YonwrnBnE1Hm/dODhHQf9LhEd8K8WaamKruwCFWAMmsq+GCrT9sazi7XDM6p+JAxWYLJb15IZjhP9VycWyFtJ7GhlBLtZrb7KA387ytk8gcKdqkVYlypPFKiAX60Ap0j2chFys5Q2MqIcyb7lY1joj45F1akWi0LHkYn06XTU54iLrOzByseqsZlwFDd5ysc6L/USs5YlmYSAW66Wn2vwmL3pnzJexL2kXC3WIxbrhy/YdsyZvuVi76oqrdjIT6ypDLNZi1Y5prds+QeGt2c6SSyxWCGmrkLNQivXgt10I0QUYM1Wsi3lm5E+XZ2KpAyQ7EYtVRW2KpQv5hD4rb3IzbZknFSs+n4l9ekToxDrqybVB6IctNEc09x6rkP/RWEvegDjtrMmQinXRX21oyYam4qrJJrJC1SEVa0dFlkfXA51YNX8IG41QNFWfQ1PFuudZJ6B27mq+RI1tpGKNUB2metAWobjsEbJC1SEVqxXV8ARnoJz9S3yT8yYPzRFNFev3Wujan1esrVeQ7EQoVmyA6qvImFJCR60fy5DNaaIBoVj3PXXP7cMKOrEG8E/YCG0pSnNEU8U6ZJs8rR7RlzahWNvLqadfKlavX93il4nK1IJQrK8/+rzDSKbDBjWhE+ubyf92eL7aox/NEU0VKypoK7886EfU6Z1QrDZaEWait87ZSj/AVxYysawBOSasGuFF1CnNWejEim0kjNEpSXV9NbflfX/O2k3q5iR7yiAT62H2J0SlM4FMrB3phWfCvbnNbMqibG6I3zrhi9XEUwuJmCvWxTyFyxf1Jwt4QSbWvDZEhbOBTKyatnuWCocMqYs8TjWQuv8onbgSi/nl2vxEr1TIxHqXag40JyES62kWW4tHjT3GVEYWYrGu7ksiFYwrPGF7O1xjJ8lORGJdCCJqI2MEkVgL6viF86tbHmbOG0Ms1gwuBTRHNFWs3bXFlYGjdIbpnq6eJURilds26P1dB7aUIpxF0TmIxTre7WZoaPceoaHXt3QOpTmiqWLd8hFiN77JbyHZiUSsuEDKaRudg0Ssk3niHlZOlz5dXVOnUCMWK0a4A6z4TPi4I4TmiObevPdv9gg960T2ioBErC1mTpmRDIlY/ccmNO76HIU162ZcfXDobt5tfQZe5aA5orlivRmX3TvrULLuUCRifWz6uxIRArFe5bxxrJjQ7P/K71/jKoRBJ9YQMWDPpkCaI5rd5z3+DundNYFYYdlZTnqpHwKxljRCv9qu2LVMCziIaMW6Vf/o0+uzPKiurW/VYIo5bGP/6IZArEob0C5bqI0iZ42qjgyU7Vi/ZOKfCRtSPb6+VWKVIWrHYId+sSxBceh1wTX8p/kVTJyaj7qB9OW+5efp6vk2iXXGJY1YiESs/mP5xbE8jfrVLEI6UM8p3vKuyVToF2voMCProYJusSI8bwqr15vn7GDab0cTEAtHt1jRPqZeBFKgW6xldQythzIgFo5usTZVNrQeKugW6931htZDmVQg1rO9W9WmWX7+7SjpkLmXF7YtnTlmYPf27fv0+2ziwrVHbil/Dfy9eb90BmLdYrVkGhmdBL1inc7toptAWrESdkxaQPkug1Ss9X5Va/v0VXxQWJYxi3cGv6Th4w83jmqYi8tdo+PnX8+Y98MPM2dMHtWvbfV87xSoP+yXy3hAu6jWueq+l1cSh1qvWA9d1IiF9IvV+wtj66EMnViv6nAcl24sVeRBQrGu+vI1fFLtG4Xke+/04i9ahQoJnxNOjCmZtfrQX87hHdpen1sxqqG3b8tvjjt25Rzckr9cbQ50bDfRK9Z8tmMFSdAp1jOP2wZXRBE6sUYXW3Ev5vogqu9vQrFGiLMKncutkNzPT1g+5C6jU8PyFh92SPXKf315/9IeTWadTbr8RWUVleriOKWEXrEq7tCXzwB0irWgmcH1UIZOrFoPhaWV6jpLKFYnMRhxVDqF78LGttESGQdUzDVS15DQsFW9Cvh2+EX8BdAdH3H11QiHLDrFuuxv7gN8SnSKVYFq5CcT6MSyj9ceQHNEQrFG9u3glanignwKyQMENV5/ydXYSPBXvvFd0+yVvzwRj95kE4MutF/gkKxTrJHD9R+RNfrEOlLQzLZ2R+jEGizeXd2qRHNEQrEuZGh1+9Gid5RiEj/I2DL6O//MeUlrEfX74CJ+XVYNqP8EoaVBjx3S9IkVl8ucyZVl0SdWl2lG10MZOrF+7H7y7rm5QZ/THJFQrG+q5Slb3bOl4hDxjRn454jAhzQ1uTavUTb/zOWLljjpuF2fWLsr0ByTEbrEeuSRdFq2NSnR4oBx1ZGBTizr8HT8n7OJtAFIF4Ridf3p9eGdD15lULiohxfP2Kh7f2/auK2vdnxSeKN0zJ8+sTqaN4kcji6xZnRM/DSt4LIT3weaOXUGdQPp9RWLj9PNc0AoVh9xFr17Cn0KD/lnF5qw9geybAfUJdbzHGYOTZCiR6yEQgftn275Cq0Of3mZN+1dKpi6d0dBoRt0v65yafGT/Hr1Fz/lu0JdHxxdYi01bf5nOfSItadE4v/8VbbJmaoShZ9zEvefundw3snz6pWUG20c2aJy6Nw+4sfc/1DWJn5LyPd3JNt0iVVrDeURmaBHrFbzEj+taSbOCV35f0ZWSUIqmLr3z8E9FskNur5a7NMYdD5QGDL3ez7KGObhFd/9vKPXSseNesS66m1y6EVHdIgVmhxh5q6n30fD6wTlZBuuUp3UO3WvJXCScKkfVnrFnpk+tGN8Ww/iHwosfo5RlfWI9WV/yiOyQYdY4/smfYzI6f/TvgWeuc2cQSDVTt17xGeZuLZubPdBX5q5sAQisrwWVsGOQY91iJVQwOTA7hK0xYpJ0cy2vdbezh90P1HilKF1ciS1Tt37h89WnTnV5oS+a3ulM9lxNLMOsQ4U13l0g9AWa23V5M+/pZpROkds4addFxRkp88BfRnV54SO8xafJhs4zrCkQ6xPJ+k7vFFoi1U/xe90qpBtTuhbBtZISuqMmrzaT++Y+S4tHqFnnRXnhJ5X/iqK/qK043SG2mJF5VTremgCmmL94/M6xU8txDmh+yrmNgD2UZPFv2FMvDVeoamLgVgHfQ7rzHk9QDi/sYpzQlu/8ffM8vFNx43aYq2urvP4RqEp1iCHb/en/bJ6Zx9O9aKEFtZRk5/OKiQ0gufg7+wrIHR+8rSWoZIczot1RH8gNR1zQt/D2g20xWpo7uyEOFpivcwpGU4vzAltKoyjJoe22MoJYn0aHh7+DEVViUNLpZMDOS3WeT/9HewS54TeTXIATbHueDg8DyT8XLdkJ3ODzkjFil9cu1TXFG8fFrn0vYAA86jJd0WxBoufV/Xkb8Q4SfQcZ8W6l5/gchFfTpwTujDbOaFndHH4sVeF9cenee1XyGwIUrE6Vd50bLLX8cQfraVdEWbQAeZRk21i1WrgXfUsChnF/47pJfe5Tor1uCjRXOx/F67dr2FepVsshX20xCrt0B67P/+OgV2/WVOQ7p08HRKxdhYV4umsL5n48+FCruvhZ4d51GSbWLPjozoXtAaP5z962iOcx04cI9K1gBPVRdF1PyH7A8Zsn7OZ6HqlLZYln8Of7avqQVMX9fb1MnOiSYlYY8VO4gnZEzssdjU1eJ8sBbra/tyTtHr26o2abBOL5xb3dKwwF0hm+/vjuNkzRIILOVPfHrUZR0yXQUus4Y7tqYPE/s2L3jFzQIxErHGiWPFZw20/3vMIN7Eu8hQKtv25Z2t1aJJ7fSP3tlwUS7itepwfLWrFfwyUXJWd+iqcUtaEF6kaYsUFOo7aGOAhXLk3pFebs5A1ErH2iV+FK8rbf5zU3cSqKEAdbSYsLOw/uXF1tzn+khLyCqH5O1FYrgi0eawkgzNi7fAjm4RXB39vPknYg3S7pKt/SIUKq/+Y5uVzUz67IUhv3j+pGDJpuNdp2w+xQWa+FFSATqyzZWwvofFbxG29uGEH0YmWw6YLsUo39pgfIv2zOSHWFR/Wj17iSOjCBxw3aojVfr7jz1tLr2hTbcBKPzMbiqRi7fP2ypmtub1Fbp1r4qI6QifWeyUWbt7CQ/PsQS7W07u244QXXERxPFUoRkI/z+E4pgdZP/rozMM1QaZ2/JOIFZZrK0KRze2DW2r9amZVFKATK4sTM0mRinWuskegzxL+Q3zDPvRHlYdmJPQPLaRbXo0vkKmKuQ1HErHmiEE7w7KKl6zLPoRPwYZAJ1bjc+KKam4WQrEeBC5MQKcLreIf6yu91s5OBs1I6A9dFRgoJRKxhtuaF7zF54f+Y8yvDw6dWI973Xr+/PnDjkqZ1SAU68tewvJgMbQpD9XgQVXeZBPLJBkJHerlDtcDiVhzPxGWd7IL97PPcrgsEEhKKLsmlzCtB2lnW+yG9Nf8DmplpWBYQ9KR0BNd2yfZjkSsh0G/8begdcX2tfktXVIjKXRi1Sg2b/2GDSurKmVWg1CsweJV/rpPpYk0B9MiulfOmkQjoa0FXdsn2Y70qfB4sWI1c/YRLlgJRc2c40sZOrGy2d7/UQ2tJRTrdMBNhGJavtfQoLdf/20jasc64uI+yXawbjMxJ7bZvgGTRxO6FjqxGto66p+jOSLpU+F83849i5cXh62ahJpY/VzcJ9mOcn8szYmETYJOrNCedyIjI590UcqsBnE71t1fF2zyM/MLSEWsKK9Q8+qhgqJYt8yfr14eOrHymDv8K7riLJoj0aIi1rqaJtZDBUWxxrjFswWiHgndb+WaNWt+pXp1QCFW31am3jeoiNVysYn1UEFJrDd+roo8L4VOrF2h4uonmiOSi7W8gIk3WEhNrLAcZo5SV0FJrF9rmVsPZZyK875SZpsmxGLd9zUzSgpSE2seVZOwASiJ9f46c+uhDJVYl38SWVheMbcKpGLFf0g1kasTyIj15J74ZVzRRZN9YeBivbwdh9DZXMZ3g9QJuViXreh/Zk42/lUNsydXwMQ6WSFHgP8vCP3FNL6bM0jFul4vS57s0609JrqkNnKQi1V+Noqu/CQ2Lvb04MdqOyhB2kDq40RPCjqkYt32+9GKjuXdgkZTBV01AolYEcW+jEFXyk/0eOCi+uCQi3Ux37/INlXngZGKuVUgE+tV8V/UM7wcGpCx4nKmT41SsUZ8Jix3V4jPbeYUpapIxFosDiO8lqWtSyojC8U91t+JParv+dEckUys3p3U063NW1158mdxpj0ApWJ9LPbhe5L1f6VYHsUpZLvNxKd3m1t3upv327GRPBG3Bxkv1ob8GgFZ95QQxgpdysmyL4tUrN7iW5IL+T6ZyfAgziER62txRofV6UyNzqAO1VPhGvu9+wjF3CqQiBUepBVne6ZtZoFCuqY70YlUrENBdxB602icJ114HSOQiHXTl/+STshPNaGDQVCJ9ch/8eo1azZbDJ/9q4Nm5J2FYqfcBH+WoZ+wp8IZvj0HFf7450YMj+Ek0qfCVb6dPi+ZQRql15WQiyU05ThzS0Mg1m/FNTsj3/AT4iV/V86JCmHg7Vj/LfvuDKq3guVBnANrx3q8al7nYJdURQFysdqlCPtDc8nCxTq9YMEZuZy3fY7LbXZkifeI7zr60wYhlUW+5f12TuZd7umRaXl/7XPZBRVRhFysDEWr17DhmfGk2h4KSMWy9gnq3z+X3ERizXU1G10c3eVrtu8S5cWa9inTgziHjFgum1ZcHnKxEsdgvenNaX9TySAVa0m5Fwg9r4C/0F5aWjY4hPHIi1Vmn9n1UEFGrPc2uKAeypCLZY/+easi147qVb9UrJrbhOXW2tJ8d7zJgg+xQ1asU4Xco8uvDVysa0Gum5ZTDtreDbu9M8xlM0lTGTHiwAns9rupy96fyIo10GXTdsuBixVvZhQlHdCJFT8xXdARyiNKxWorhkKYJY1nuq5IJOUBnEZOrGgfF8dJdkTvLPaug0qsJ024OmG0R5SKdcF3B/9N6Ctp4XwUQPNgwAY5sTZSDXUzjLdTrDMFuNH0/Uew5oadBX18Ckujz3Yemvjpcf/AbHV1tDuwAxPrYvH0XHaVwMvm81aK9VNmT3uAd6qvdZkG0jDs8re1cOIDZ1S5Ybcfrc1lpllSsR5m+mBX1p7pV5tYBS3eQrHie3HlE283DJvFPrJAUlfNOa2E5ZrKNIeiRCpW/YJoexvUM6eJVdACD8fduGo3lpOBOg2xWHFcutZdRbo0V5hPVx09Yg1Ibozs+qOwjHjHxDDAUrFyB8ttdSka4bjdAHKx6py7FSpy6yzVIDsdYv0ZmDyrUp/ZwvI+lcOUSBUq2GnHoJ5Ldqc3sQpayIbjXllSPrNLIBYrJkXAhh9pjqgtVnSpFNOK7SghdDIaITsntEFIxfo8Q8k5C1tmKmZiFbTQCMftBjg1/IsKbbEmNE350+BCk+c1kZ0T2iikYq3JnLF+S58MnU2sghayYiWF43YH3FCss96O/YqU5oQ2DKlYnRdPKVes219U/WUNQiLWHsdw3O6A+4kVX3m+egbDkYrVWuyI9cjDFXVRAAvHLd68n3ZNZWRxP7EWVnD14D2pWF+J459/qu2CqiiBNTcsSvXNDU6jIdY9H9lOf4YRdxvroyEVK7L4gKt3FvhQRQMzCIWR0G6E24n10QRWB9JDwtTsebLUlwyJxVqswnoFeDQ013cNFEZCu6YysribWBtLmHqfPkOcE7qEY0cKt2oKlUd2JHQ5U6OIaeBmYj0POsDqOHqI9RTvSxr94LA19YllGwl9KacbfRu6mVifd2B1GF3ctU0gMNkxVkDqE8s+gYCXmROQaeBeYh0NMLeJLyKL+CXYd4bD1tQn1jTxbeaLzKl9JLRTqIgVXdLs2eE79U9A6Iyv43DX1CfWv+JI6D5mvvfSwg3Esq7p23ed+EDzVT2zn2ueVKzweUcvSU+r1CcWWunV6fPylcyNqKmO68WKbVDz229rNObvO//1ZBmBQR/x22b/LB2ZngrFQrd/nr3d5ROMp8T1Yk1ryl+mrI1nImsts2NCKoCLdXnxPNZTcDrHW9iD1GmkYlUVB4L+Xh39UtJFA1SlYGJN9e45qHAztwnviUAsOaRilRPHpR5797Eh03vRIBVrX6AYxkg6ubUrAbFwpGJ1/1JYju/dVyN2n3lIxeopTsB6Ma8r6qIAiIUjFetO4Mxbt6YHrQ0wsy+fKlioSPGp8Uk2V9RFARALB2tuuN7Gy6vdpWLuE31KKtYoMbjtVvKpWowDxMKRbyCd2JhV+c4jFetBLiEcdx7pmFpXAmLhyIp13duNQiNgT4Wn7BMIuA8gFo6cWAkfzGZVPAOUpzxxG0AsHEysZ6NqFg10mzt3lDpb3t0O14v1rFD3NZ7NirjJxKACIBYDXC/W4E/RklHoE7eZpgbEYoLrxXpXjOB2sCKr8p0HxGKAG4h1WFgeNDOcjAYgFgNcL9ZwMbLMJ6NZle88IBYDXC/Wy8Ld//yza1GXRRzFAbEY4HqxhOaGmmM0JvkyFRCLAW4gltsBYjEAxMIBsRgAYuGAWAwAsXBALAaAWDggFgNALBwQiwEgFg6IxQAQCwfEYgCIhQNiMQDEwgGxGABi4YBYDACxcEAsBoBYOCAWA0AsHBCLASAWDojFABALB8RiAIiFA2IxAMTCAbEYAGLhgFgMALFwQCwGgFg4IBYDQCwcEIsB7iDW6QUL3GrONhCLAa4Xy9onqH//XANYFc8AEIsBrhdrSbkXCD0v/ROr8p0HxGKA68WquU1YbqrDqnznAbEY4Hqxyohzr58sx6p85wGxGOB6sVrPF5Zz2rIq33lALAa4XqwLvjsQ2upjYVW+84BYDHC9WGhnQR+fwu4URB3EYoAbiIVQWBirwpkAYjHALcRyM0AsBoBYOCAWA0AsHBCLAezF0pobBMRiQNoT6+msQnH86vzkaS1Dk1YOgFgMSHNihbbYyvFiRVWJQ0sbJK4cAbEYkObEQuiuINaqngjd5yLsK8cMIBYD0qpYIaP4e6301+0re8oli8jSshTVNBUQiwFll9r+3Je1MhKJFTye/+R52b6yJURVrSRSwp+6siYBYjHAv4Ttz101SiMjkVhjh/CfMj+xrxwzwFchA9xfLGO+Che1QigiMMG+cswAYjEgDYp1m4tBKCxXBNo8NnHlCIjFgLQn1rZe3LCDCG3sMT8kJmnlAIjFgLQnljYgFgNALBwQiwEgFg6IxQAQCwfEYgCIhQNiMQDEwgGxGABi4YBYDACxcEAsBoBYODBKhwEgFg6MK2QAiIUjPxLa9y9W5TsPiMUA14tli90wuz2r8p0HxGKA68UqI0bzg2gzRIBYOFKxPhTjY22G+FgkgFg4ChH9fmZVvvOAWAxwvVjWPoEQg5QUEAsHb8c6BVGTSQGxcKDlnQEgFg6IxQAQCwfEYgCIhQNiMQDEwgGxGABi4YBYDACxcEAsBoBYOCAWA0AsHBCLASAWDojFABALB8RiAIiFA2IxAMTCAbEYAGLhgFgMALFwQCwGgFg4IBYDQCwcEIsBIBYOiMUAEAsHxGIAiIUDYjEAxMIBsRgAYuGAWAwAsXCO5WggpUIFbFNKPiiumly7gGpygzz1VZMLfyjdUo3DMlUpqVpGrYIaVVBPLlhLNblkFWwTV0265cPCqmXU16hCgdqqycU/UE2W+QPmOG62WDGb1ktp3RbblJLPK6kmz/NXTV6f4VfV5CKTsU3fYFuCa6iWMSOPavIabo1qep4Zqsk1grFNs7Atk4uolvFrBtXk9f7zVJMrfa6a3LY1tmm7dOIIw8WSYfwE1eS1LVSTrxRQLz3jC9XkyofUdxdZ2kk12VJKNTmWi1VNL2VRTe60VDXZxqHKqskvMqrvXuCKanKLtarJE8arl64GiKUCiKVeuhoglgoglnrpaoBYKoBY6qWrAWKpAGKpl64GiKUCiKVeuhpGivXlRNXkja1Uk68VVi89a6RqctVj6ruL/NZVNfmC+gTqce/EqaaXvaCa3PU31WQbx6qqJkdmVd+98DXV5FYbVZMnfqleuhpGihWp/qePeaqabH2oXrpGEPlH8erpIm+eqSYnOFeFhwmqyc+i1XcXiX/kXBWsqslP1VulNP6AqhgpFpCGAbEAQwCxAEMAsQBDALEAQwCxAENwU7Gshy4pp2nsyrgqqReVk6h1kpw/icaJdX7ytJah8kkJk4sHdHqlkuXv7rvjFZKfzioUh1BkP3+fbhEyWWzJaNvImR3Pq9YhdaD8C2ieQ5WTqHEOmZxEw8SKqhKHljaQTzs/LuZJyRnKWf5uEqlUQmiLrRz/S68PibDkHo1nsSffrWZFJxup1iFVoPILaJ1DlZOocQ7ZnETDxFrVE6H7XIRs2tkohAZ/p5glofIZlRLuCr/0H7EIjf9YLouYfNL3KTrwmWodUgUqv4DGOVQ/iRrnkMVJNEyskFH8N3X660rJL7u/VMxyOHBp41pHlJLFX1qg3Ry5LGJyXM18C8dEadXB/VH/BdTOofpJ1DiHLE6iYWIFC2/GPS/LJyYMbffxEcUsU33OZPgsZQAAB8RJREFUW6f7vVZITjwptxpGy5VgSz7VoGDxA+p1SA2o/QLq51D9JGqcQxYn0TCxxg7hF5mfKKYvzxKplGV4C4SiM5xXSLaflMhWYbIHEZPPN4+LHZ75iVYd3B6NX0DlHKqfRI1zyOIkGibWolYIRQTKv98P5/+Fck+Vssxpwl98sz9QSLadlNjB/8kfREweswihGI97anVIFaj8AhrnUP0kapxDFifRMLHCckWgzWPl0wY/ROinUYpZbgW8RucaWxWSb3MxCMUPOhEeHh4rk0VMXjIUoZsNVeuQKlD5BTTOofpJ1DiHLE6ice1YG3vMD1Ho7rO90bjvN6hk2dzru3HhCsnbenHDDqIhnMAJPIstOX7E+CVTnqrWIXWg/AtonUO1k6hxDpmcRDdteQdSOyAWYAggFmAIIBZgCCAWYAggFmAIIBZgCCAWYAggFmAIIBZgCCAWYAggFmAIIBZgCCAWYAggFmAIIBZgCCBWKuRN7zwl9c4Q4SpArFTI7hUJIdVcXQkNQCxXEkM30OOMFd2oR7uzSYBYLuT8QPXIzyr8cBCFtnXnucLSiFgxJ2ZeNfgQrw9MDierwJ4qr7WLla35P4MqL7Si26XOEdXQVFKtWOs+5Ap16Ne8+UfL9HwjHOrG7dPO9cYWtz2s5kGKCm1rxt0gqsC/OfVEDFeoeWTQnwgtK0J9xTOcVCsWush9Layuvv++elhvGzd1iHUolxiY/VWlj7Ew1IcCb2ruvkcQSzEjXoHO6nMDKO+IhCDiDbbxV7OcX+gqwhWkXrHu2MRCt7N00BEmLFSHWKu4+/wyvuP3eHm3+mhfG/YJYilmxCpwK91EzSJld0RoeAyKrC9Eie+a04lI7MaSesW6axcLBXPK0f+S0CPWBk6453nyr1xagra8oliKGbEKLOTWaRYpuyNCy1t9Pe+l8GEut1NXGS7gLRDrO245sv40JLjWGN6LtZ/0b9wPodhZA/rVSbyFCR1Sp2J34c+TYuvajiVfts1WZCL//z5x323FuYBcx//rWzRn+5dJBdlWezv530jOKGLPl6IcQSxbRnSyQxG/UYlZUlQgaQtPG+4Iv9zdPU9ow2wfXglvkrWSeCu+YkLbGkn3aok7Yrns/MGNNO4EO8dbINZWbgoa0d2KHhatm/B3kXgU1wXFN56M0BLPB2L6r/Wfoac9+D9Pyq1Xm3r03HR4RLo+KGlftIJ7g1DDu+hYllnIXpB9FR4iXI2SMgrY86UoRxDLlvGbjpHWg7UTsyRXIGmLwPuccGkM7cd9eu5a0RK9zt4oIczcM7cnQsMy5q0W71Bzaa5ETnMdTDnXFLwFYi3hfr6e7iT/YQW3c5PncSsK5V3j/2hhnDgL0stMwsTrwhdKyq1oUkahcSCYe5q0r02sUP6H1p2QvSD7ir803EDJGQXs+ZLLsX0VChkvpBMmwNmYmCW5Akk7CRTiXgmrldxthOZxN4XvxpfIGrQSoXOc7aqaYkfHXElc4eoacGaZ8BaINZS7voK7y3+4x016Vp7L9+leNIHr2DN4VGtRgX2c8NQo/HlSbkVTfIXlTu5K0r42sWLX9Auu0ADZC7KvRGmSMwrY8yWXYxNLWEz1RCmzJFcgaSeBMpx4m7+G4++/13PPEdrMhaEobhF/NeVs8fNS7OiYK4njXEuDzq7TpH6xrOVrocWccOcRwy1AMfuGF+C2fiH8CewsF/9M1/k/T8qtdiG2+iUk7yuI9bL8yEjUvz6yF5S4EnxJzsiTlC+pnGSxvuQiU2ZJrkDSTgJ1uTvCSlRmg1CzLYIyNSq8tI7uaZXUXJorkY1cX+bnlRGpX6yFmSz8/9y5/Kfr6S4evYVQXLG5q7nVSfnOc8JNzRb+z5Nyq12IgZOT9+XFeoWWCt80Xesje0H2lehLckaexHzJ5SSLtYlbmjJLcgWSdhIYJd68S5V51L762HUJ0poribWAW8L6tLIi9Yp1VRTrUXCOzfxVq3FQKLIOGo2+/wGhZyVvRpf02Pom+kehWQolNPDY8npXZ/7WKOVWNCX9gpj4lV3ikvfl/2bL9y3iFj/8pnSdxILsK/6r7lKKjDzL7PmSy0E7hGYPIWNcVa/NsS+PJWZJrkDSTgJ7ue+E1a/cE+EW6qFw+P/4S1/+/efPX4xCjjWX5kpkJBdq0tkmJtWKFduQ86lYpeR7I28LP0UOqRg8Ya0Vba/xwYD+FxB63rdwnnZbbDkffRLgERLK1V7lsHVK5vdyVF9nTbEviqiWbfCr5tma3O7gPddekH21qjbX8o/kjDyv7fmSy1lVi89jy/jis0I+lVcnZUmqQNIWgfjiwgyzP73PdTm3tCrX8RCvTLv/oY1+QjS0gGuONZfmSuS9RuacbApSrVjOYvsKc2U5ayURYxP4b8CYIYNvRb3YmnW44l4JKV6NXhafU90TEMt15fQZhG1anUMMZ1xvtJ79ra2nUR/bcEAs15UT++lM6aafCwrLhAJ7dexunTLRjSekSrNiTcjuBuXsknbMuO//O2/M5P56dv73rBNHNpy0KtbMYlz/K25UTiKX2g0c99lqN74S6SWtigUYDIgFGAKIBRgCiAUYAogFGAKIBRgCiAUYAogFGAKIBRgCiAUYAogFGAKIBRgCiAUYAogFGAKIBRgCiAUYAogFGML/AWtkoIYLqv2tAAAAAElFTkSuQmCC" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># NOTE: Essa contagem é alta e uma análise preliminar não retornou
+# Hessiana para o modelo Gamma-Count ajustado com a mle2. A suspeita que
+# é seja pela ordem de magnitude dos dados. Sendo assim, vamos
+# considerar um offset artifical de 10 apenas para correr as análises.
+#
+# Warning message:
+# In mle2(llgcnt, start = start, data = L, fixed = list(alpha = 0), :
+# couldn't invert Hessian
+#
+# Warning message:
+# In mle2(llgcnt, start = start, data = L, vecpar = TRUE) :
+# couldn't invert Hessian
+
+soja$off <- 10
+fivenum(with(soja, ngra/off))</code></pre>
+<pre><code>## [1] 9.20 14.70 17.05 21.60 27.10</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Modelo Poisson.
+
+m0 <- glm(ngra ~ offset(log(off)) + bloc + umid * K,
+ data = soja, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+# Diagnóstico.
+par(mfrow = c(2, 2))
+plot(m0); layout(1)</code></pre>
+<p><img src="data:image/png;base64,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title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Medidas de decisão.
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ngra
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 73 761.43
+## bloc 4 28.34 69 733.09 3.0962 0.02273 *
+## umid 2 185.06 67 548.03 40.4318 1.584e-11 ***
+## K 4 380.32 63 167.71 41.5466 5.186e-16 ***
+## umid:K 8 42.99 55 124.72 2.3480 0.03004 *
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>summary(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = ngra ~ offset(log(off)) + bloc + umid * K, family = quasipoisson,
+## data = soja)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -2.6297 -1.0707 -0.0873 0.7428 3.2810
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 2.49937 0.06773 36.902 < 2e-16 ***
+## blocII -0.01939 0.04017 -0.483 0.631230
+## blocIII -0.03663 0.04035 -0.908 0.367964
+## blocIV -0.10559 0.04107 -2.571 0.012884 *
+## blocV -0.09313 0.04218 -2.208 0.031433 *
+## umid50 0.13245 0.08611 1.538 0.129739
+## umid62,5 0.18548 0.08506 2.180 0.033517 *
+## K30 0.29799 0.08299 3.591 0.000703 ***
+## K60 0.34434 0.08218 4.190 0.000102 ***
+## K120 0.36493 0.08183 4.459 4.1e-05 ***
+## K180 0.29542 0.08303 3.558 0.000778 ***
+## umid50:K30 0.04344 0.11318 0.384 0.702600
+## umid62,5:K30 -0.13669 0.11386 -1.201 0.235081
+## umid50:K60 0.11559 0.11136 1.038 0.303817
+## umid62,5:K60 0.09174 0.11027 0.832 0.409039
+## umid50:K120 0.11860 0.11088 1.070 0.289461
+## umid62,5:K120 0.16266 0.11145 1.460 0.150096
+## umid50:K180 0.28832 0.11085 2.601 0.011917 *
+## umid62,5:K180 0.21569 0.11021 1.957 0.055430 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 2.28854)
+##
+## Null deviance: 761.43 on 73 degrees of freedom
+## Residual deviance: 124.72 on 55 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Modelo Poisson Generalizado.
+
+L <- with(soja,
+ list(y = ngra, offset = off, X = model.matrix(m0)))
+
+# Usa as estimativas do Poisson como valores iniciais.
+start <- c(alpha = 0, coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Com alpha fixo em 0 corresponde à Poisson.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+# Mesma medida de ajuste e estimativas.
+c(logLik(m2), logLik(m0))</code></pre>
+<pre><code>## [1] -321.6692 -321.6692</code></pre>
+<pre class="r"><code># Poisson Generalizada.
+m3 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+# Teste para nulinidade do parâmetro de dispersão (H_0: alpha == 0).
+anova(m3, m2)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m3, [llgcnt]: alpha+(Intercept)+blocII+blocIII+blocIV+
+## blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Model 2: m2, [llgcnt]: (Intercept)+blocII+blocIII+blocIV+blocV+
+## umid50+umid62,5+K30+K60+K120+K180+umid50:K30+
+## umid62,5:K30+umid50:K60+umid62,5:K60+umid50:K120+
+## umid62,5:K120+umid50:K180+umid62,5:K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 20 631.29
+## 2 19 643.34 12.051 1 0.0005176 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code># Estimaitvas dos parâmetros.
+c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0</code></pre>
+<pre><code>## PoissonGLM PoissonML GCount
+## NA 0.00000000 -0.52305059
+## (Intercept) 2.49937463 2.49937463 2.49649191
+## blocII -0.01939070 -0.01939070 -0.01943043
+## blocIII -0.03662632 -0.03662632 -0.03669577
+## blocIV -0.10559332 -0.10559332 -0.10578690
+## blocV -0.09313375 -0.09313375 -0.09331619
+## umid50 0.13245136 0.13245136 0.13282522
+## umid62,5 0.18548293 0.18548293 0.18598885
+## K30 0.29799144 0.29799144 0.29876306
+## K60 0.34433662 0.34433662 0.34520871
+## K120 0.36493092 0.36493092 0.36585027
+## K180 0.29542405 0.29542405 0.29619069
+## umid50:K30 0.04343930 0.04343930 0.04341282
+## umid62,5:K30 -0.13669277 -0.13669277 -0.13709575
+## umid50:K60 0.11559375 0.11559375 0.11568092
+## umid62,5:K60 0.09174072 0.09174072 0.09174645
+## umid50:K120 0.11859658 0.11859658 0.11867938
+## umid62,5:K120 0.16266223 0.16266223 0.16275434
+## umid50:K180 0.28832017 0.28832017 0.28870557
+## umid62,5:K180 0.21568848 0.21568848 0.21591249</code></pre>
+<pre class="r"><code>splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Perfil para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))
+abline(v = 0, lty = 2)</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>dev.off()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+<pre class="r"><code># Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))</code></pre>
+<pre><code>## sum mean max
+## 0.054983277 0.002893857 0.020065055</code></pre>
+<pre class="r"><code># Teste de Wald para a interação.
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a == max(a)
+L <- t(replicate(sum(ai), rbind(coef(m3) * 0), simplify = "matrix"))
+L[, ai] <- diag(sum(ai))
+
+# Cáclculo da estatística Chi-quadrado.
+crossprod(L %*% coef(m3),
+ solve(L %*% vcov(m3) %*% t(L),
+ L %*% coef(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 25.28744</code></pre>
+<pre class="r"><code>linearHypothesis(model = m0,
+ hypothesis.matrix = L,
+ vcov. = vcov(m3),
+ coef. = coef(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## umid50:K30 = 0
+## umid62,5:K30 = 0
+## umid50:K60 = 0
+## umid62,5:K60 = 0
+## umid50:K120 = 0
+## umid62,5:K120 = 0
+## umid50:K180 = 0
+## umid62,5:K180 = 0
+##
+## Model 1: restricted model
+## Model 2: ngra ~ offset(log(off)) + bloc + umid * K
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 63
+## 2 55 8 25.287 0.001389 **
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Predição com bandas de confiança.
+
+# Por causa do offset, não tem como usar a LSmatrix.
+pred <- unique(subset(soja, select = c("umid", "K")))
+X <- model.matrix(formula(m0)[-2],
+ data = cbind(off = 1, bloc = soja$bloc[1], pred))
+i <- grep(x = colnames(X), pattern = "^bloc")
+X[, i] <- X[, i] * 0 + 1/(length(i) + 1)
+
+pred <- transform(pred,
+ K = as.numeric(as.character(K)),
+ umid = factor(umid))
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m1, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# Matrix de covariância completa e sem o alpha (marginal).
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ exp(pred$gcnt$eta + x)
+ # fitted.gcnt(
+ # lambda = exp(pred$gcnt$eta + x),
+ # alpha = exp(coef(m3)["alpha"]),
+ # ymax = 100)
+ }))
+pred$gcnt$eta <- NULL
+
+# Junta o resultado dos 3 modelos.
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, umid, K, modelo)
+str(pred)</code></pre>
+<pre><code>## 'data.frame': 45 obs. of 6 variables:
+## $ modelo: Factor w/ 3 levels "pois","quasi",..: 1 2 3 1 2 3 1 2 3 1 ...
+## $ umid : Factor w/ 3 levels "37,5","50","62,5": 1 1 1 1 1 1 1 1 1 1 ...
+## $ K : num 0 0 0 30 30 30 60 60 60 120 ...
+## $ fit : num 11.6 11.6 11.5 15.6 15.6 ...
+## $ lwr : num 10.7 10.2 10.4 14.5 14 ...
+## $ upr : num 12.6 13.1 12.8 16.7 17.3 ...</code></pre>
+<pre class="r"><code>key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(pred$modelo),
+ lty = 1, col = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+
+xyplot(fit ~ K | umid, data = pred,
+ layout = c(NA, 1), as.table = TRUE,
+ xlim = extendrange(range(pred$K), f = 0.1),
+ key = key, pch = pred$modelo,
+ xlab = expression("Dose de potássio"~(mg~dm^{-3})),
+ ylab = "Número de grãos por parcela",
+ ly = pred$lwr, uy = pred$upr, cty = "bars", length = 0,
+ prepanel = prepanel.cbH,
+ desloc = 8 * scale(as.integer(pred$modelo), scale = FALSE),
+ panel = panel.cbH)</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+</div>
+<div id="numero-de-graos-por-vagem" class="section level2">
+<h2>Número de Grãos por Vagem</h2>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Número de grãos por vagem (offset).
+
+xyplot(ngra/nvag ~ K | umid, data = soja, layout = c(NA, 1),
+ type = c("p", "smooth"),
+ xlab = expression("Dose de potássio"~(mg~dm^{-3})),
+ ylab = "Número de grãos por vagem",
+ strip = strip.custom(strip.names = TRUE, var.name = "Umidade"))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Modelo Poisson.
+
+m0 <- glm(ngra ~ offset(log(nvag)) + bloc + umid * K,
+ data = soja, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+# Diagnóstico.
+par(mfrow = c(2, 2))
+plot(m0); layout(1)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Medidas de decisão.
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ngra
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 73 34.238
+## bloc 4 2.0264 69 32.212 1.1637 0.33686
+## umid 2 1.7457 67 30.466 2.0050 0.14439
+## K 4 3.8324 63 26.634 2.2009 0.08082 .
+## umid:K 8 2.6490 55 23.984 0.7606 0.63838
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>summary(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = ngra ~ offset(log(nvag)) + bloc + umid * K, family = quasipoisson,
+## data = soja)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.52741 -0.46025 0.06782 0.45274 1.05490
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 0.848160 0.029477 28.774 <2e-16 ***
+## blocII 0.011313 0.017535 0.645 0.5215
+## blocIII 0.036250 0.017615 2.058 0.0444 *
+## blocIV 0.019384 0.017940 1.080 0.2846
+## blocV 0.016100 0.018448 0.873 0.3866
+## umid50 -0.001908 0.037574 -0.051 0.9597
+## umid62,5 -0.031173 0.037124 -0.840 0.4047
+## K30 0.022867 0.036200 0.632 0.5302
+## K60 0.034499 0.035862 0.962 0.3403
+## K120 0.035322 0.035703 0.989 0.3268
+## K180 0.040586 0.036221 1.121 0.2674
+## umid50:K30 -0.018692 0.049385 -0.378 0.7065
+## umid62,5:K30 -0.028459 0.049680 -0.573 0.5691
+## umid50:K60 -0.048182 0.048583 -0.992 0.3257
+## umid62,5:K60 -0.014035 0.048103 -0.292 0.7716
+## umid50:K120 -0.030438 0.048367 -0.629 0.5317
+## umid62,5:K120 0.045524 0.048714 0.935 0.3541
+## umid50:K180 -0.016302 0.048354 -0.337 0.7373
+## umid62,5:K180 0.016911 0.048076 0.352 0.7264
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 0.4353299)
+##
+## Null deviance: 34.238 on 73 degrees of freedom
+## Residual deviance: 23.984 on 55 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 3</code></pre>
+<pre class="r"><code># Declara um modelo aditivo.
+m0 <- glm(ngra ~ offset(log(nvag)) + bloc + umid + K,
+ data = soja, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+anova(m1, test = "F")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ngra
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 73 34.238
+## bloc 4 2.0264 69 32.212 1.2021 0.31880
+## umid 2 1.7457 67 30.466 2.0711 0.13455
+## K 4 3.8324 63 26.634 2.2734 0.07114 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Modelo Poisson Generalizado.
+
+L <- with(soja,
+ list(y = ngra, offset = nvag, X = model.matrix(m0)))
+
+start <- c(alpha = 0, coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Com alpha fixo em 0 corresponde à Poisson.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+# Mesma medida de ajuste e estimativas.
+c(logLik(m2), logLik(m0))</code></pre>
+<pre><code>## [1] -272.6263 -272.6263</code></pre>
+<pre class="r"><code># Poisson Generalizada.
+m3 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+
+# Teste para nulinidade do parâmetro de dispersão (H_0: alpha == 0).
+anova(m3, m2)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m3, [llgcnt]: alpha+(Intercept)+blocII+blocIII+blocIV+
+## blocV+umid50+umid62,5+K30+K60+K120+K180
+## Model 2: m2, [llgcnt]: (Intercept)+blocII+blocIII+blocIV+blocV+
+## umid50+umid62,5+K30+K60+K120+K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 12 517.26
+## 2 11 545.25 27.989 1 1.22e-07 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0</code></pre>
+<pre><code>## PoissonGLM PoissonML GCount
+## NA 0.000000000 1.01872022
+## (Intercept) 0.855552235 0.855552234 0.85824271
+## blocII 0.011126118 0.011126118 0.01116767
+## blocIII 0.036245340 0.036245340 0.03631263
+## blocIV 0.018895822 0.018895822 0.01904826
+## blocV 0.012659290 0.012659290 0.01284491
+## umid50 -0.026631767 -0.026631767 -0.02708107
+## umid62,5 -0.026250165 -0.026250165 -0.02670737
+## K30 0.007448488 0.007448488 0.00687900
+## K60 0.012551823 0.012551823 0.01172824
+## K120 0.039757260 0.039757260 0.03886651
+## K180 0.041632187 0.041632187 0.04072724</code></pre>
+<pre class="r"><code>splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Perfil para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>dev.off()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+<pre class="r"><code># Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))</code></pre>
+<pre><code>## sum mean max
+## 0.038796736 0.003526976 0.013298824</code></pre>
+<pre class="r"><code># Teste de Wald para a interação.
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a == max(a)
+L <- t(replicate(sum(ai), rbind(coef(m3) * 0), simplify = "matrix"))
+L[, ai] <- diag(sum(ai))
+
+# Cáclculo da estatística Chi-quadrado.
+crossprod(L %*% coef(m3),
+ solve(L %*% vcov(m3) %*% t(L),
+ L %*% coef(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 10.33342</code></pre>
+<pre class="r"><code>linearHypothesis(model = m0,
+ hypothesis.matrix = L,
+ vcov. = vcov(m3),
+ coef. = coef(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## K30 = 0
+## K60 = 0
+## K120 = 0
+## K180 = 0
+##
+## Model 1: restricted model
+## Model 2: ngra ~ offset(log(nvag)) + bloc + umid + K
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 67
+## 2 63 4 10.333 0.03517 *
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+
+# X <- model.matrix(m0)
+# soja$nvag
+#
+# cbind(y = soja$ngra,
+# Pois = soja$nvag * exp(X %*% coef(m0)),
+# Quas = soja$nvag * exp(X %*% coef(m1)),
+# Gcnt = exp(X %*% coef(m3)[-1]))
+#
+# cbind(y = soja$ngra/soja$nvag,
+# Pois = exp(X %*% coef(m0)),
+# Quas = exp(X %*% coef(m1)),
+# Gcnt = exp(X %*% coef(m3)[-1]))
+#
+# fitted.gcnt(lambda = 1, alpha = 1)
+# fitted.gcnt(lambda = 2, alpha = 1)
+# fitted.gcnt(lambda = 2, alpha = 0.4)
+# fitted.gcnt(lambda = 2, alpha = 3.1)
+
+#-----------------------------------------------------------------------
+# Predição com bandas de confiança.
+
+# Por causa do offset, não tem como usar a LSmatrix.
+pred <- unique(subset(soja, select = c("umid", "K")))
+
+X <- model.matrix(formula(m0)[-2],
+ data = cbind(nvag = 1, bloc = soja$bloc[1], pred))
+
+i <- grep(x = colnames(X), pattern = "^bloc")
+X[, i] <- X[, i] * 0 + 1/(length(i) + 1)
+head(X)</code></pre>
+<pre><code>## (Intercept) blocII blocIII blocIV blocV umid50 umid62,5 K30 K60
+## 1 1 0.2 0.2 0.2 0.2 0 0 0 0
+## 2 1 0.2 0.2 0.2 0.2 0 0 1 0
+## 3 1 0.2 0.2 0.2 0.2 0 0 0 1
+## 4 1 0.2 0.2 0.2 0.2 0 0 0 0
+## 5 1 0.2 0.2 0.2 0.2 0 0 0 0
+## 6 1 0.2 0.2 0.2 0.2 1 0 0 0
+## K120 K180
+## 1 0 0
+## 2 0 0
+## 3 0 0
+## 4 1 0
+## 5 0 1
+## 6 0 0</code></pre>
+<pre class="r"><code>pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m1, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# # TODO
+# m3 <- m2
+
+# Matrix de covariância completa e sem o alpha (marginal).
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+
+# Comparando as estimativas de média para contagem.
+c(Pois = pred$pois$fit[1],
+ Gcnt1 = exp(pred$gcnt$eta)[1],
+ GCnt2 = fitted.gcnt(
+ lambda = exp(pred$gcnt$eta)[1],
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 80))</code></pre>
+<pre><code>## Pois Gcnt1 GCnt2
+## 2.390106 2.396759 2.077286</code></pre>
+<pre class="r"><code>pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ exp(pred$gcnt$eta + x)
+ # fitted.gcnt(
+ # lambda = exp(pred$gcnt$eta + x),
+ # alpha = exp(coef(m3)["alpha"]),
+ # ymax = 50)
+ }))
+pred$gcnt$eta <- NULL
+
+# Junta o resultado dos 3 modelos.
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, umid, K, modelo)
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(pred$modelo),
+ lty = 1, col = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+
+xyplot(ngra/nvag ~ K | umid, data = soja, layout = c(NA, 1),
+ type = c("p", "smooth"),
+ xlim = extendrange(range(as.numeric(pred$K)), f = 0.2),
+ key = key,
+ xlab = expression("Dose de potássio"~(mg~dm^{-3})),
+ ylab = "Número de grãos por vagem",
+ strip = strip.custom(strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ xyplot(fit ~ K | umid, data = pred,
+ layout = c(NA, 1), as.table = TRUE,
+ pch = pred$modelo,
+ ly = pred$lwr, uy = pred$upr, cty = "bars", length = 0,
+ prepanel = prepanel.cbH,
+ desloc = 0.15 * scale(as.integer(pred$modelo),
+ scale = FALSE),
+ panel = panel.cbH))</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+</div>
+<div id="numero-de-capulhos-produzidos-em-algodao" class="section level2">
+<h2>Número de Capulhos Produzidos em Algodão</h2>
+<p>Experimento conduzido em casa de vegetação para avaliar o efeito da desfolha, em diferentes fases de desenvolvimento do algodão, sobre a produção da cultura. As parcelas foram vasos com duas plantas que tiveram a área das folhas removida com uma tesoura, simulando o ataque de insetos desfolhadores, nos níveis de 0, 25, 50, 75 e 100% de remoção de área foliar. Em cada fase de desenvolvimento (de 5), 5 parcelas sofreram desfolha nos níveis mencionados. Trata-se então de um experimento em arranjo fatorial 5 desfolhas <span class="math">\(\times\)</span> 5 fases com 5 repetições por cela. O número de capulhos ao final do experimento foi contado.</p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Número de capulhos em função do nível de desfolha artificial e fase
+# fenológica do algodoeiro.
+
+data(capdesfo, package = "MRDCr")
+str(capdesfo)</code></pre>
+<pre><code>## 'data.frame': 125 obs. of 4 variables:
+## $ est : Factor w/ 5 levels "vegetativo","botão floral",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ des : num 0 0 0 0 0 0.25 0.25 0.25 0.25 0.25 ...
+## $ rept: int 1 2 3 4 5 1 2 3 4 5 ...
+## $ ncap: int 10 9 8 8 10 11 9 10 10 10 ...</code></pre>
+<pre class="r"><code># help(capdesfo, package = "MRDCr", help_type = "html")
+
+p1 <- xyplot(ncap ~ des | est, data = capdesfo,
+ col = 1, type = c("p", "smooth"), col.line = "gray50",
+ layout = c(2, 3), as.table = TRUE,
+ xlim = extendrange(capdesfo$des, f = 0.15),
+ xlab = "Nível de desfolhas artificial",
+ ylab = "Número de capulho produzidos",
+ spread = 0.035, panel = panel.beeswarm)
+p1</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Modelo Poisson.
+
+m0 <- glm(ncap ~ est * (des + I(des^2)),
+ data = capdesfo, family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+par(mfrow = c(2, 2))
+plot(m0); layout(1)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># anova(m0, test = "Chisq")
+anova(m1, test = "F")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ncap
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 124 75.514
+## est 4 19.9582 120 55.556 21.5543 3.775e-13 ***
+## des 1 15.8643 119 39.692 68.5317 3.269e-13 ***
+## I(des^2) 1 1.2926 118 38.399 5.5839 0.01988 *
+## est:des 4 6.7085 114 31.691 7.2450 3.236e-05 ***
+## est:I(des^2) 4 6.3592 110 25.331 6.8677 5.674e-05 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>summary(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = ncap ~ est * (des + I(des^2)), family = quasipoisson,
+## data = capdesfo)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.07706 -0.30981 -0.02283 0.27044 1.16650
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 2.21424 0.06706 33.018 < 2e-16 ***
+## estbotão floral -0.08003 0.09655 -0.829 0.40898
+## estflorecimento -0.02723 0.09626 -0.283 0.77781
+## estmaça -0.14861 0.09867 -1.506 0.13489
+## estcapulho 0.11291 0.09247 1.221 0.22465
+## des 0.34859 0.32741 1.065 0.28935
+## I(des^2) -0.73843 0.32397 -2.279 0.02458 *
+## estbotão floral:des 0.13638 0.46401 0.294 0.76937
+## estflorecimento:des -1.58189 0.49140 -3.219 0.00169 **
+## estmaça:des 0.47548 0.49046 0.969 0.33444
+## estcapulho:des -0.82100 0.45204 -1.816 0.07206 .
+## estbotão floral:I(des^2) 0.10435 0.45451 0.230 0.81884
+## estflorecimento:I(des^2) 1.40435 0.49033 2.864 0.00501 **
+## estmaça:I(des^2) -0.92938 0.49667 -1.871 0.06397 .
+## estcapulho:I(des^2) 1.07565 0.44314 2.427 0.01683 *
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 0.2314882)
+##
+## Null deviance: 75.514 on 124 degrees of freedom
+## Residual deviance: 25.331 on 110 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Modelo Poisson Generalizada.
+
+L <- with(capdesfo,
+ list(y = ncap, offset = 1, X = model.matrix(m0)))
+
+start <- c(alpha = log(1), coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Modelo Poisson também.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+c(logLik(m2), logLik(m0))</code></pre>
+<pre><code>## [1] -254.8414 -254.8414</code></pre>
+<pre class="r"><code># Modelo Poisson Generalizado.
+m3 <- mle2(llgcnt, start = start, data = L, vecpar = TRUE)
+logLik(m3)</code></pre>
+<pre><code>## 'log Lik.' -203.7501 (df=16)</code></pre>
+<pre class="r"><code>anova(m3, m2)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m3, [llgcnt]: alpha+(Intercept)+estbotão floral+
+## estflorecimento+estmaça+estcapulho+des+I(des^2)+
+## estbotão floral:des+estflorecimento:des+estmaça:des+
+## estcapulho:des+estbotão floral:I(des^2)+
+## estflorecimento:I(des^2)+estmaça:I(des^2)+
+## estcapulho:I(des^2)
+## Model 2: m2, [llgcnt]: (Intercept)+estbotão floral+
+## estflorecimento+estmaça+estcapulho+des+I(des^2)+
+## estbotão floral:des+estflorecimento:des+estmaça:des+
+## estcapulho:des+estbotão floral:I(des^2)+
+## estflorecimento:I(des^2)+estmaça:I(des^2)+
+## estcapulho:I(des^2)
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 16 407.50
+## 2 15 509.68 102.18 1 < 2.2e-16 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>summary(m3)</code></pre>
+<pre><code>## Maximum likelihood estimation
+##
+## Call:
+## mle2(minuslogl = llgcnt, start = start, data = L, vecpar = TRUE)
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(z)
+## alpha 1.710979 0.135195 12.6556 < 2.2e-16 ***
+## (Intercept) 2.258038 0.059339 38.0532 < 2.2e-16 ***
+## estbotão floral -0.076524 0.085405 -0.8960 0.3702456
+## estflorecimento -0.025313 0.085113 -0.2974 0.7661593
+## estmaça -0.139845 0.087219 -1.6034 0.1088485
+## estcapulho 0.108438 0.081763 1.3263 0.1847562
+## des 0.329398 0.289643 1.1373 0.2554329
+## I(des^2) -0.699663 0.286619 -2.4411 0.0146430 *
+## estbotão floral:des 0.133744 0.410476 0.3258 0.7445554
+## estflorecimento:des -1.501986 0.434453 -3.4572 0.0005459 ***
+## estmaça:des 0.421813 0.433578 0.9729 0.3306201
+## estcapulho:des -0.782023 0.399797 -1.9561 0.0504593 .
+## estbotão floral:I(des^2) 0.094333 0.402116 0.2346 0.8145248
+## estflorecimento:I(des^2) 1.338205 0.433533 3.0867 0.0020236 **
+## estmaça:I(des^2) -0.833309 0.439023 -1.8981 0.0576829 .
+## estcapulho:I(des^2) 1.022210 0.391972 2.6079 0.0091108 **
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## -2 log L: 407.5003</code></pre>
+<pre class="r"><code>c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0</code></pre>
+<pre><code>## PoissonGLM PoissonML GCount
+## NA 0.00000000 1.71097890
+## (Intercept) 2.21424242 2.21424242 2.25803759
+## estbotão floral -0.08002756 -0.08002756 -0.07652439
+## estflorecimento -0.02722855 -0.02722855 -0.02531284
+## estmaça -0.14861263 -0.14861263 -0.13984549
+## estcapulho 0.11291268 0.11291268 0.10843781
+## des 0.34858564 0.34858564 0.32939763
+## I(des^2) -0.73843427 -0.73843427 -0.69966320
+## estbotão floral:des 0.13638395 0.13638395 0.13374406
+## estflorecimento:des -1.58188650 -1.58188650 -1.50198575
+## estmaça:des 0.47548300 0.47548300 0.42181332
+## estcapulho:des -0.82100307 -0.82100307 -0.78202287
+## estbotão floral:I(des^2) 0.10435096 0.10435096 0.09433350
+## estflorecimento:I(des^2) 1.40435178 1.40435178 1.33820484
+## estmaça:I(des^2) -0.92937720 -0.92937720 -0.83330941
+## estcapulho:I(des^2) 1.07565430 1.07565430 1.02220995</code></pre>
+<pre class="r"><code>splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Perfil para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>dev.off()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+<pre class="r"><code># Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))</code></pre>
+<pre><code>## sum mean max
+## 0.070733515 0.004715568 0.022155377</code></pre>
+<pre class="r"><code># Teste de Wald para a interação.
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a == max(a)
+L <- t(replicate(sum(ai), rbind(coef(m3) * 0), simplify = "matrix"))
+L[, ai] <- diag(sum(ai))
+
+# Teste de Wald explicito.
+crossprod(L %*% coef(m3),
+ solve(L %*% vcov(m3) %*% t(L),
+ L %*% coef(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 30.51573</code></pre>
+<pre class="r"><code># Teste de Wald para interação (poderia ser LRT, claro).
+# É necessário um objeto glm, mas necesse caso ele não usado para nada.
+linearHypothesis(model = m0,
+ hypothesis.matrix = L,
+ vcov. = vcov(m3),
+ coef. = coef(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## estbotão floral:I(des^2) = 0
+## estflorecimento:I(des^2) = 0
+## estmaça:I(des^2) = 0
+## estcapulho:I(des^2) = 0
+##
+## Model 1: restricted model
+## Model 2: ncap ~ est * (des + I(des^2))
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 114
+## 2 110 4 30.516 3.843e-06 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Predição com bandas de confiança.
+
+pred <- with(capdesfo, expand.grid(est = levels(est),
+ des = seq(0, 1, by = 0.025)))
+X <- model.matrix(formula(m0)[-2], data = pred)
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m1, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# Preditos pela Poisson Generalizada.
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+
+# Comparando as estimativas de média para contagem.
+c(Pois = pred$pois$fit[1],
+ Gcnt1 = exp(pred$gcnt$eta)[1],
+ GCnt2 = fitted.gcnt(
+ lambda = exp(pred$gcnt$eta)[1],
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 30))</code></pre>
+<pre><code>## Pois Gcnt1 GCnt2
+## 9.154471 9.564302 9.154646</code></pre>
+<pre class="r"><code>pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ # exp(pred$gcnt$eta + x)
+ fitted.gcnt(
+ lambda = exp(pred$gcnt$eta + x),
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 50)
+ }))
+
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, est, des, modelo)
+
+key <- list(lines = list(lty = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+key$lines$col <-
+ trellis.par.get("superpose.line")$col[1:nlevels(pred$modelo)]
+
+p2 <- xyplot(fit ~ des | est, data = pred, groups = modelo,
+ layout = c(NA, 1), as.table = TRUE,
+ xlim = extendrange(range(pred$des), f = 0.1),
+ type = "l", key = key,
+ ly = pred$lwr, uy = pred$upr,
+ cty = "bands", alpha = 0.35,
+ prepanel = prepanel.cbH,
+ panel.groups = panel.cbH,
+ panel = panel.superpose)
+# p2</code></pre>
+<pre class="r"><code>update(p1, type = "p", layout = c(NA, 1),
+ key = key, spread = 0.07) +
+ as.layer(p2, under = TRUE)</code></pre>
+<p><img 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BERkeLi4sOHD586dUpcXNzW1vbHH380NTU9fvy4pKTknDlzli9fjk+kyNXGHe2xbWAZGRkIoVGjRnUe/65du8rLy//++28SiVRaWjplypQ3b96EhYWtXbu2rKwsMTER38zIyMjDwwNf/BMhNGnSpJs3b2ZnZ1+8eNHX15fFYi1dunTx4sUFBQUiIiL29vZ0Ot3Z2Tk/P19ERIToSQeg74NGAwC8MFGerCM7WtBRIISQjIgMD7kGDRqE/rvGY0e8vLzw5ScmT55sY2OTkJCAENLQ0DAzM/Py8jp8+LCamhpCaMOGDdu2bXv06NHw4cMRQhs3bty0aROdTpeUlORq44722NzczGKxOFEJCwvjDzs/hE+fPp09ezYmJgbv3zBkyJBDhw45Ozs/fvzY1tZWS0ur5cYtH+rp6Y0fPz4pKenkyZN4h8rDhw/b2dllZWWNGTOG0CkGoD+CRgMAvBhEGTRUfKigo+Advsbjx48fbWxsOIlsNvvo0aPZ2dk5OTnKyso+Pj4SEhIqKir+/v7h4eEUCiUnJ4fT9Q//KuUsJK2iotL2YX19Pd4O4Grjdvd46tQp/I4AQkhCQqKoqAj/jk9OTp49e3ZHhxkXF4dhGF4+zsLCAiEUHx9va2vbqqdkq4cUCkVKSoozBENdXR0hVF1d3eW5BaAfgz4NAAxE06ZNExYW9vX1bWpq4iSSyeRDhw55eHhERUWNGTNGQkKCTqdPmDAhISHhzJkznp6exsbGHXWd7vwLmPjGHe3R0dHx7Tfx8fFSUlI//vgjmUy+cuUKZ0nutvCnWl6NwJsgnPYKQohgZ3C+jsUAoK+ARgMAA5GmpubBgwffv39/5syZVk8JCwtz/hsYGJicnHzgwAF8PulOvp67S0d7HDly5IRvtLW10behoXl5eZs3b25556Il/ILKy5cvOSn5+fkkEglfGBM/Rs5K3DxMuoAvBQ7AwAGNBgAGqJ9//tnV1XXPnj3Ozs4lJSWc9JycHM7f+M9rPz+/0tLS06dPJyUlcb4mmUwm579tH7ZM5GrjTvbY1m+//bZ27dq//vpr/Pjx9+/f//z5M4ZhtbW1r169WrFiBYPBMDY2trKyOn36dF5eHkIIw7Dz58/v2rXLwMAAIYT3nDh9+vTnz58jIyO9vb1bRtXQ0NAqwpbP4m2au3fvhoWFNTQ0dBQhAP2NAJbjBgD0GjExMS4uLhoaGpqamnZ2dkuWLFm9evW1a9dKSkowDGMwGHPmzBETE7O2ts7Pz3d0dJSRkTl79qy3t/fEiRMRQk5OTomJideuXZs0aRJCaNGiRa9evcIw7N69ewihhQsXPn/+nKuNO9pjJ4fw+vVrV1dXY2NjaWlpJSUlfX39rVu3Jicn48/W1tZu3rx53Lhxbm5u+/fv9/f3Z7PZ+FNsNnvTpk1ycnLy8vLbtm0rLS1FCBkaGt68eXPfvn2qqqokEmn16tXZ2dkYhuGDO8zMzB4/foxhGJ1ONzExERMT27RpE6dAAPo9mNwJAND92Gw2QogzaVI3biwoGIax2Wz8QkgvDxUA/oFGAwAAAAAIgfYyAAAAAAiBRgMAAAAACIFGAwAAAAAIgUYDAAAAAAiBRgMAAAAACIFGAwAAAAAIgUYDAAAAAAiBRgMAAAAACIFGAwAAAAAIgUYDAAAAAAiBRgMAAAAACIFGAwAAAAAIgUYDAAAAAAiBRgMAAAAACIFGAwAAAAAIgUYDAAjDsIiIiA8fPnRXad1SDgBc6d5qjKAmg/ZQBR0A6MPevXt3//59KpUaFxd3/vx5DQ0NIs92kquurm7Hjh337t1rbm62tbW9dOnS4MGDCe4OV1xc7O3t/csvvxDPlZqaevr06cWLF5uamhLMdf/+/cjISAUFhcTExD179owdOxZPp9FoPj4+np6emZmZVGrrNxeR+IFA9GRN7slq3GVGqMmAaxgAPKmvr//hhx9YLBaGYdeuXZs5cyaRZzvPdfv27YMHD9Lp9Pj4eGVl5Z9//png7nBsNtvBwUFRUZF4rpSUFGtr69raWuKHVlhYaGJiwmazMQyLjY21tLTE03Nzc+3s7IKDgxFCeF7iZQIB6sma3JPVuMuMUJMBD6DRAHh069atlStX4n8XFxcjhOh0epfPdp4rNDS0sbER/9vd3X3u3LkEd4e7ffv2uXPnhg0bRjBXc3PzhAkT3r59y9WhxcbGysnJVVZWYhgWHh6+cePGlnkLCwvb/aglEj8QiJ6syT1ZjbvMCDUZ8AD6NAAeZWRkyMvL438rKSmRyeQvX750+WznuaysrISEhPC/MzMzzczMCO4OIVRZWVlaWjpmzBhhYWGCuaKiooqKipKTk62trc3NzV+/fk0k1/jx43V1dceOHXvx4sXQ0NDffvvt+08XEKCerMk9WY27zAg1GfCA60ZDSEjIuXPncnJy+BEN6EPKy8s5H4skEklCQoLFYnX5bOe5OHJzc2tqajZs2EBwdwihq1evrlmzBiHU8hZs57kiIiIaGxvHjRv3+PFja2vrH3/8sb6+vstcVCrVw8NDW1v7zJkz9+7di4uL+/7TBQSoJ2tyT1bjLjNCTQY8INRoWLt27bJly/Ly8p48eTJv3rzLly/Pnj07OTmZ38GB3kxKSqquro7zkMlkDhkypMtnO8+Fq6ur2759u6+v76BBgwjuLjw83NTUFN+eRCIRzEWj0UxNTceOHUsikbZv315VVZWZmdllrnfv3h09evTx48eZmZlz5syxtraurKzs/FwRPHAgED1Zk3uyGneZEWoy4AGhRkN+fv7169c1NDT8/Pw0NDQ+fPgQExPj6enJ7+BAb6amplZQUID/XVtbKyMjIyMj0+WznedCCLFYLHd3999//33o0KHEd3f06FFXV1cdHZ2VK1fm5OQMHz782bNnXeZSUVHh/EgSFhYWERHBP/46z+Xv7z979mwqlSokJHTy5EkhIaGGhobvPF1AgHqyJvdkNe4yI9RkwAsiHR/Wrl2LYRibzVZVVd2xYweeuG7dOj72tQC9XklJyZAhQ/A+UHfv3t2zZw+efvPmzYqKio6e7TxXU1PThg0bYmJiyr/h9CbrPCMnqidPnmhpaREMMicnR1FRkcFgYBiWmJhoZWWF9yTvPNfly5e3bNmCp2RnZ8+aNavlacnPz0cIMZlMTkrnJwQIXE/W5J6sxl1mhJoMeECo0bBs2bKmpqaoqCiEUFhYGJ44adIkfgYG+oDAwEAXF5fff//94MGD+IdLQ0ODurr6kydP2n22y1ybN29u1aiNiYkhuDsMw3x8fObMmUOlUo8fP56Tk0Mk1927d1etWnXx4sW9e/eWl5cT2VdTU9OOHTvc3d0vX7589OhRvPM5LiQkZNWqVQihbdu2vXz5kuAJAQLXkzW5J6tx5xmhJgMekDACc34FBATs27evvLxcU1PzzZs3xcXFT58+vXnzZmRkZHdc7AAAAABAH0Co0YAQSklJyczMnD59uoyMTFRU1Pv371VVVe3s7PgdHwAAAAB6CaKNBjab/ejRo4SEBFlZWXNzcwMDA35HBgAAAIBehdDaEwwGY86cOS9fvsQfkkik3bt3nzhxouWgIAAAAAD0b4SGXB45cqS4uPjGjRtFRUVMJjMjI6O2tjYwMJDfwQEAAACg9yB0e8Lc3Pz27dstZ/DAMOzAgQPHjh3jZ2wAAAAA6EUIXWnQ09NrNecXiUQiMncYAAAAAPoNQo0GKpXa6oJEbm7u27dv+RMSH/n5+fFwVyUjI2Pv3r3c5sIwbOHChQT7mbbk7u6enp7Oba6goKBbt25xmys3N3fHjh3c5uqcm5sbDwvYeHl5hYaGcpsrKSnp6NGj3OZiMplLlizhNhdCaMuWLZy58Ijz9fXFVxnuLuXl5T/99BMPGVesWFFTU8NtrnPnzvEwuDoyMvLcuXPc5qqpqVmxYgW3uRBCP/30U3l5OQ8ZOxIcHOzr68ttroKCgi1btvCwuyVLljCZTG5zHT16NCkpidtcoaGhXl5e3Ob68uXL+vXruc3VuR07duTm5nKb69atW0FBQdzmSk9Pd3d35zYXzx/je/fuzcjI4DZXYGCgn58ft7l6GKFGg76+/ooVK+Li4oqKipKSks6dO2dqajp16lR+B9ftkpOTU1NTuc2Vl5eHT2zFlaampqCgoKamJm4zRkVF5eXlcZsrJSWFh9VACgsLIyIiuM3VuRcvXvDQaEhKSkpLS+M2V1ZWFsFVdlqqq6sLCQnhNhdC6NWrV/hawFx5//49D7WuE2VlZWFhYTxkDA0NpdFo3OaKj4/n4eMvIyMjPj6e21w0Go2HtiNCKCwsrKysjIeMHUlNTX3//j23uYqLi1+9esXD7kJCQlou6EBQXFxcVlYWt7nS0tJ4aGp8+fLl+fPn3ObqXEREBL4AN1eSk5NTUlK4zdUnPsZTU1N7/6JOhEZPuLq6pqenm5iYcBpc1tbW0KEBAAAAGFAINRpIJNKZM2fWrVsXFxdXV1dnaGhobGwM4y0BAACAAYVQowGnpaWlpaXFeejn5+fk5MSHkAAAAADQG7XfaMjIyOj8VhOTyfTy8oJGAwAAADBwtN9oCA4O3rNnTw+HAgAAAIDerP3RE2ZmZs7OztnZ2bm5ubm5ucuXL3dxccH/zszMvHfv3pIlS3gYKgMAAACAvqv9GSEbGxtjY2PNzMzwh+PHjw8LC5ORkeFs8ODBg7dv3x4+fLiHwuxURkaGqalpc3Nzl1uyWCyEkJCQEFflNzc3s1gsERERbgOrr68XExPjNldDQ4OQkBCFQuEqF4vFwjBMWFiYq1zED01bWzstLY1I71cMw3joJIvXQ24z8pYLfUeQfD00FRUVgkM6e2f8358L8fnQ2Gx2U1MTkQrP2xuKzWY3Njby9lkhKirK7YEzmUwqldoznxVsNpvJZIqKina5ZWNjI4lEIvIx29DQICwsTCYTGvnPQ/kt9ZWPcUTsG4pMJkdEROjp6XEb2PcjNI309OnTX7x40TKFwWAoKSnR6XS+BcaFqKgoFxeXs2fPCjqQ/uyPP/4YMmTIokWLBB1If7Zu3bq9e/eqq6sLOpB+Kzo62sfH5+rVq4IOpD87cOCApqbmqlWrBB1If7Zt27YrV67MnDmz53dNaPSEvr5+dXW1tLQ0J+XJkyfi4uJ8i4prwsLCKioqgo6iP6NQKIMHD4aTzG+KiopwkvlHTk6OQqHAGeYrYWFh+KzgN24vtHQjQteFtm7dunDhwqioKBqN9unTJw8PDxcXl1mzZvE7OAAAAAD0HoSuNGhqai5btmz69OmNjY14yqxZszw8PPgZGOgP2Gx2Xl5eUlKSkpLS5MmTBR0OfzU0NHz48CExMdHBwaHlZTkAQJ/T6u1cVVX17t27wsLC5cuXCzo0ASM6udOKFSvmz5//5s2bkpISfX19AwMDbnuvAI7GxkYymUyldnHyCW7Wm3358uXRo0fXr19fs2YND42G7j0DGIYFBARcvXpVVFT0xx9/jI2NnTVrloODQ7cUjhB68+bN3bt3X79+bW1t3TONBn4fUa/SD94OoA9p9XZ+9OhRcHBwQ0MDNBq4+OKXlJScOXOms7Pz2LFjyWTykydP+BdWP5aYmDhnzpycnByuNktMTLSysuJhtSTBUlZW3rhxY8txN8S1OgMMBsPNzW3RokWhoaE1NTU8rKDo4+Pz5cuXP/74Y+XKlVOmTElMTGxoaOAhsI6YmZktXry4GwvsEr+PqCM9XxsJvmsA6C6t3s5Lly7ti2s08kNnzfacnBw5OTlJScns7OxWTzGZTE9PTysrK37G1j+VlZXRaLQuv0dbbTZ06NCpU6dKSUnxP8DeotUZePLkyapVq7Kzs/38/Ly8vI4fP85VaVVVVVeuXLl8+bKurq6uri5CiIfBV13qyctvPXNE7er52kjwXQNAN2r1dobllnCdNRomT55sZ2d35coVExOTioqKHoupf8N7vQ4ePJirzZSVld3d3QdUrW11BubPn48QmjhxIm+/5ouKithsdsvvub5+MgV4RD1fGwm+awDgFp1Ol5CQ4LQPWCwWk8mUkC1SdRcAACAASURBVJAQbFS9WWeNhoCAADU1NTKZPGPGDB0dHRMTE85UFUwm87fffuuRCHvOzZs3L126JCEhsXTp0hUrVtDpdB8fHz8/PxcXl7Vr1/7zzz9FRUUYhuXn52/YsMHAwADP9ejRo/z8/Nzc3MrKyl9++UVVVRVPb2pqapslIiLi0qVLCCF7e3uEkIeHh4KCgo+PT3x8fFVVlbGx8YEDB8TFxVtt5uDgkJub+/btWx8fH1VV1U7iXL9+fUhISFZWVlNTU05Ojr6+/po1a3rsB2jnoqOjL168WFhYqKOjs2vXrlGjRiGEMAxrN2CCJ6qTElruOjs7G7+dsWbNGiqVevTo0UmTJrXcoKNC3r179+jRo9jY2PPnz//111+vXr3y8fEZMWJESUlJu8H0mG4/onarK15UamrqrVu3Pn78WFdXZ29vP2nSpJCQEE5tjI6OfvLkydu3b69evXr8+PH379/r6Ojs27dPRkbm4MGDCQkJw4cP379/v7a2Nl5auzu6f/9+ZGTk58+fz5w54+7unp6erq6uvn379okTJyKE2lYGfX39XlvPO8Htueqkmn348OHGjRvp6en4i7J582aB18me1KpOdnT4T58+ffnyZWZm5vXr1w8fPhwdHS0vLz979uwVK1YICwsHBQXdu3cvIyPj1atXYmJiGRkZly5dSkxM3Llz57x58zra9ZcvX9pWUUTsg6h/6KzRYG5ujv+xevVqIyMjeXn5ls/W1NTwMS5BWLZsWU5OzsuXL5ctW4a+9eHAb6Vv2bLFwMBg7969CKG7d+9u2rQpKChIXl7ez88vKyvr4MGDCKGzZ886ODjIysoOHTr0ypUr27dvb5vFzMysrq7u4MGDDx48wGdk27Bhw6FDh/bt25ecnLxu3bq7d+86Ozu32qy6ujogIODp06edx7lhw4bff/+9qqrql19+IZFINBpt9erVHz588PT0FHiv1djYWPy7raio6NSpUxs3brx37564uPj58+fbDZjgiUIIdVRCy0MeMWLE5s2bXV1dvb29R4wY0Ta8jgpRVlYePHjw58+fvb29VVVVFRQU8E+BY8eOtRtMj+neI2Kz2du2bWu3hvv6+qanpx84cEBUVDQpKeny5cvLly9XV1fn1EYNDY1BgwaVlZV5e3tv3rxZVFR0y5YtO3fuNDQ0XL9+vbi4+NatWw8ePBgQEIAQ6mhHY8aMefToUVFR0e3bt48cOdLU1LR//353d/eHDx8KCwu3rQy9tp53jqtzhTquZviLcvDgQc6L0snG/U/bOok6OHxtbe2HDx+WlZWdOXPG2tp6yZIlr1698vb2Lisr279///z582k0Wnp6Ol6strb21q1bHR0dO9k1nU5vt4oiYh9E/QOh43n79q2kpCTnYVRU1Lp16968ecO3qARm4cKFdDo9IiICfxgVFeXs7BwZGRkTE2NjY4MnmpubMxiMuLg4DMN8fX05LU1bW9umpqZff/3Vx8cnOjq63Sxt97hv3z5FRUWEkIGBgamp6cePH9tuIy0tzfnZ10mcBQUFt27dcnBwwK8by8rKrlmzJj4+Pjo6+vvPzHdSU1NbtWrViBEjzM3Nd+/eTaPRYmNjuQq43RPVLYfcSSGKiooTJkxACI0bN87Nzc3LywuPgcirJkDcHlFHNTwzM/PChQs7d+4UExMjkUjjxo1bvHhxq9qorKxsZGSEEFq7dq22traampqDg0N+fv7q1at1dHRUVVUXLVqUnZ3NYDAQQh3taPjw4aNHjyaTyRs3bhw2bJiGhsbatWurqqraXWu3N9fzznF1rlAH1azdF6Wjjfsfrg5fXV1dT0+vsbFx8+bN06dPNzIy2rp164IFC4KDg+l0OolEUlNTa1l4q4dtdVRF+26d5AGh8Uv79u27f/9+QEAAPsGtqampsbFxq6+x/mH06NE6Ojp3796dPn06m82uqqpSU1N7+PAhQsjT01NERERYWFhMTMzCwkJKSqqxsbGiooLzDsd/g+Jj7dLS0trN0naPioqKT58+jY+PJ5PJxcXFHQ3VazWHebtxPnr0CMMw/J2Dw78e0tLSpkyZ0i3nh2fKysqcv/GoqqqqUlNTiQfc7oniqoSOdF4IfubHjx+PEJKVle0kmN6D2yPqqLq+fv1aTEyMc9QIoenTp6M2tRF/yPldge+X81BBQQEh1NDQIC4u3sn7gkwmt7y1rKSkhBCqra3l9uh4P2s9gvi5Qh1Us8jIyHZflF5eJ7tLR3Wyo8OnUCji4uItz8aUKVMCAwMrKyslJSVb9cvpsptOR1W0T9dJbhFqNEyYMKGkpMTIyOjGjRu2trYIIQqFwrnx1p+QSKSFCxceO3bs8+fPOTk5eHXEl+fYu3dv235YhoaGd+/etbGxERMTCwkJsbe3x/s0dJKlJQaD4erqamxsvHXrVjExsRMnThQVFfEc59evXxFCVVVVnLqL9zbvbWMu8JOjo6OTkZGBiAXc0YnqlkMmUkjL6QF4ftV6DLdH1FF1TU1NZTAY3C7Y08kHMcH3RdtCWuor9ZyITs5VR9WssbGx7YvS++tkd/n+w29ubpaWlv7+FV5avlj9qU52idDtCT09vffv38+YMWPOnDnu7u5NTU0Iof7av9TKykpcXDw4ODg+Ph6/9YDfM273QtPp06fV1NQ2bdp06dKl0aNH79+/H69JnWTB4WtyPn/+/NOnT66urvgbAK95bTcjGKeWlhZCKCEhgbNNSUkJfgWP+OHzA15hOJKSknR0dHR0dIgE3PmJ6pZD5raQLl81geP2iDqqrnhn1bCwsO4KrMv3RefwytBr63n36qiatfui9P462V2+//BjY2MXLVqEXzDAm851dXX4UzxPBDJA6iSOUKMBwzBpaenbt2+fOnXq1KlTM2bMKCkp6X/9O3CioqJz5sy5c+eOsrIy3gKwsLDQ0NA4fvz4q1evGhsbGxsb7927V15ejhBKSUlJTU1dv369paWlurp6dnY2k8nsPAtercPDw9+8eYNPyx0aGkqj0Xx9fTMyMjithFab4VviC6d2FKe+vr6JiYmvr+/nz58RQhiG+fv7Ozs74xVagBoaGqKjo/EO8wUFBXfu3Dlx4gSVSu08YCInivgh4yXgrw6+JYvFws9n54W0PfO4dl81vPy2G/NDNx5RR9XV3Nx8zJgx586dCw8Pb2pqYjAYycnJbUvo/GHLxE7eF5xK3jYX+m9l0NbW7p31nAji5wrXtppNmzZNV1e37YvS7sb9T0d1EnV8+LW1tQEBASwWi81mP378uLa2lrMC55AhQxBCvr6+5eXlSUlJ9+7dQy3Of6u3cydVtNd+9vID5ZdffulyI19f38WLF5NIJFNT0ylTpvz5559Xrlypr69ft24d/yPsWmFh4b///ouP4+8WSkpK/v7+eOdkhBCFQrGxsamsrAwMDPTz8/vw4YO+vj6+kHlOTk54eHhgYGDQN8HBwebm5rKysh1lUVRUTEhICA4OFhERWbZsWVZWVlBQUEZGxooVKzIzM5OTk4WEhPT19VtuxmAwAgICSkpKSktLJSUlOaM6W8VJIpGmTZtWWVl548aNzMzM1NRUXV3dJUuWdMt4+ufPn8vIyOA3wrnCZrPfvXsnIyNz4cKFJ0+eVFZWuru74yNxOg+YyIkyMDAgcsgvXry4devW58+fS0tL8acuX76clpZWWVnJZDINDQ07KiQ0NNTf37+kpOTLly90Oh1/BdXV1T99+tQ2mOLi4nZfJuL++ecfa2vrlvdrO9K9R9RRDSeTyTNnzqyurr59+/a1a9ciIyM1NTWzsrLwEvDDTEhICAwMLC8vLysrU1FRiY6ODgwMLCsrKy0tlZGRUVJSysvLe/r0aVlZmbS0tJqaWrs78vT0fPr0aUVFRWlp6ciRIyUlJauqqgIDA0tKSuTk5FRVVVtWhqlTp/Jcz3Nzc2NiYpycnLh9abpFcHAw8XM1efLkdquZoaGhlZVVdXW1n5+ft7f3y5cvR4wYMWPGjHY31tfX7/nDfPDggby8vLGxMT8Kb7dOdnL4SUlJ79+/Lysru3DhwuvXrw0NDV1dXTm/eBUUFOh0emhoaFBQkJCQ0KpVq27cuFFeXi4mJpadnd3y7fzvv/92UkXV1NT499nbrrt3786ePXv48OF8Kr8TJPwuY+e0tLQsLS137typqamJECooKJg/f35CQgKRvD0gKipqzZo1N27c6OH9slis8+fPYxi2dOlSOTk5FouVkJDg7u6+cOHCbdu29XAw/Obu7q6pqblmzRpBB9Kf2dnZnTt3buTIkYIOpDux2WzE/VyZGIZxPl668aLmixcvzp49++DBg+4qsHtxda5iYmK+fv2K92fqVdatW6ejo7N161ZBB4IQQteuXfPz83v+/Hm3l8ynKkrQ0qVLL168OHPmzB7eLyLYEfLTp08tH6qpqb1+/Xrfvn38CanPePHixf3798PDw/Ee0YMGDTI3NzcwMGjVtxyAgYy3z1MSidTXp+zkAVfnKjc39/79+2/fvt29ezf/QgIdGZhVFHG1YFVLIiIi/bKLB1caGhqkpaVbNhHYbHZRUVGrufkAAKDbOTk5rVy5kjPLFgA9o+vbEzU1NXfu3GmVyGQyvby83r9/z7fAuBAUFOTo6NjzoznYbDaDwRAVFeWMXmMymWw2G+9h0M+MGjUqJSVl0KBBgg6kP8NvlMKVKv5hsVgNDQ39YA2L5uZmvGefsLBwb1suvK6ujkql9pIZlJlMZmNjYz94xVupq6sLCAhYuHBhz++669omIiKyZcuW+vr6HoiGN0OHDh07dqyHh0fP7zovL+/vv/+WkZERFxf/+vWrnp6ehYVFv7xmtX37dlNT0/379ws6kP7MwcHhwIEDP/zwg6AD6beioqLOnz9/+/ZtQQfSn+3Zs4dMJp84cULQgSB/f398enIzM7MFCxZ8/9wMvcfu3bvx2aV6XteNhkGDBpmZmZ05c0ZLSwv/OkxLS/P29j5w4AD/wyMKwzALCwuB7HrlypUC2W8PExISEuBJHiDodLqWlhacZP6h0Wg1NTVwhvlKXFy8rq6uN5zk3hADn7Sa/KYnEerTcPz4cV1dXSEhISqVSqVSDQwMHB0df/31V34HBwAAAIDeg1CjoW2fxxEjRvT8EEcAAAAACFDXtyfYbHbLDg0YhtXU1Jw+fbqXTNIAAAAAgJ7RdaOhqqpKQUGhbRNh8+bN/AkJAABA/9cQ/nKQiTGJ13EWnz59unLlSmFhobKy8sqVK/vlwsu9UNeNBjk5ubFjx86bN4/TEVJYWHjYsGH4IkkAAAAADyhDFFnvk4Un8TJc6MGDB87Ozq6urnPnzk1LS5s2bdr58+ednZ27PUjQCqEBvmvWrFm3bl2/HEkIAABAIIR0dWkIdb3UShv19fWrVq26c+cOZx7lefPmWVpaWlpa4mtQAf4h1BHSzc2tbYvBz8+PD/EAAAAAnXn79q2qqmrLlRcmTJgwceLEiIgIAUY1QLR/pSEjI6OwsLCTbPiMkIJaLA4AAED/wLh5S3zZUq6yMJnMthPvioqKtl26GnS79hsNwcHBe/bs6eFQAAAADDT1MtLibDbiZrEuQ0PD1NTUvLw8DQ0NPKW8vDwqKuq3337jS4ighfZfJzMzM2dn5+zs7Nzc3Nzc3OXLl7u4uOB/Z2Zm3rt3b8mSJbm5uT0cKwAAgH6GYmvLVYsBITRkyJDdu3fb2to+efKkrKzs5cuXs2fPdnFxGTVqFJ+CBBztX2kYP368q6vr8OHD8YepqalhYWEyMjL4Qy0tLSqV+tdffx0+fLiHwgQAANBP8dAdcvfu3YqKirt378aHXLq6um7YsIEvwYH/ar99JywsbGZmxnkoJSXFaTHgLCwszp07x9/QAAAADAQMBv00dysOksnk1atXv3v3rrKyMiUlZcuWLb1ttc/+itBFIX19/erq6pYpT548ERcX509IAAAABhJxcZaVlaCDAIQQajRs3bp14cKFUVFRNBrt06dPHh4eLi4us2bN4ndwAAAABgKSgb6gQwCEELqeo6mpuWzZsunTp3MGtMyaNcvDg7urSa1gGAazRQEAAMDRGAypujoKzM7UuxHts7pixYry8vJnz575+vomJSWFhoYqKirytksajebh4TFixAjOiuB1dXVr165VVFSUk5Nbvnx5bW0tbyWDfqC5uTkmJiYwMDA2NpbNZgs6nF6noaHh1atXd+/efffunaBjAYB3qamp9+7dex0eXs9g/C+JSq274iXQoEDXiPYcYbPZERERCQkJsrKyZDKZzOUIGY68vLzNmzevXr265YjNx48fDx06NDs7OzMz097e/tixY6dOneKtfNCnZWVlOTo6MhgMXV3d1NRUGRmZ27dvc4Zig9jYWCcnJykpKQ0NjTdv3hgYGPzzzz/S0tKCjgsALtTX1y9btiw6OnrSpEmFJSWlJSWe169PnT4dDRrU5L5X0NGBLhBqNDAYjDlz5rx8+RJ/SCKRdu/efeLECR7uL2hoaNy/f7+oqKhloqSk5P79+4WEhMaPH79ixYoPHz5wWyzoB1gsloODg729/aFDh8hkcnNz8/79+x0dHWNiYigUiqCjEzwajbZw4cLjx4+7uLgghBoaGlavXr1u3Tp/f39BhwYAF7Zt29bc3JydnS0uLk5D6OG9e66LF796926osjKJSuVtNQrQYwhdMDhy5EhxcfGNGzeKioqYTGZGRkZtbW1gYGB3BWFlZSUkJIT/nZmZ2XK0Zyu1tbVVbdTW1hK8jo01NmIwz2hvFRsby2Qyf/nlF/w6FoVCOX78OI1Gi4+PF3RovUJISIiRkRHeYkAIiYiIXL58+cGDB+Xl5YINDADivn79euPGjatXr3LG39n++KOFpeVdTtuXzWb4/SOw+PoINpvd0bchv3dN6EpDbGxsZGQkZ/UwLS2tCxcuHDhwwMHBoXujyc3Nramp6WiOjq9fv2prazc0NLRKb2pqIjhCF6uh1164IHUE5qTqjUpKSkaMGNHy8hWZTB45cuTnz58FGFXvUVJSMnLkyJYpgwcPHjp06JcvXxQUFAQVFQBcqaioEBMTa1VjR2prf+G8zcnkr7Ky3E4sPdAUFBQ4Ojq2/eITERHJzs5uuzBHNyL0Xaunp9dqvVESiVRZWdm9odTV1W3fvt3X13fQoEHtbiAqKtru90dUVNSmTZuI7IKsIN986OB3RQn4RlVVNT09vbm5mXMzgsVipaenQ58GnJqaGucWIa6qqqq0tHTYsGECiggArikoKDQ0NBQXF6uoqHAS01JSJre4wEy2toKbFJ3T0NC4cOGCqalpz++aUFOOSqViGNYyJTc39+3bt90YB4vFcnd3//3334cOHdqNxbaDQqEhRKutay4s6npj0IMmTZo0bNiwHTt2sFgshBCTydyyZYu2tvbYsWMFHVqv8OOPP+bl5f3+++8YhjVlZ9fU1KxYscLZ2bnVbK0A9GYiIiKbNm1ycXHh/Oy85ePzNiZm4dLWC12y0jPQf793+j2MyUTNzYKOogtEZ4RcsWJFXFxcUVFRUlLSuXPnTE1Np06dyvNe8S4InI4Izc3N27Ztc3JyEhcXr6ioqKiowL82+AcTFam4fRtrc6cDCBCZTL5x48a7d+/U1dWnTZumrq7+6dOnv//+G+bzwImLiwcGBvr4+AwfPtx81iwNDQ1xcfHvnC4FgJ53+PBhdXX1ESNGmJmZTdDS+uO3364HBUm3afvWMJlfHzwQSISCUnvud3ZdnaCj6AKh2xOurq7p6ekmJiac6w3W1tbHjh3jbZf3798PCQlBCO3Zs2fu3Lnm5ubbt2+/dOnSpUuXONvExMQYGxvzVj4RJCpVaMf2KrgC1ssMGzYsPDw8IyOjuLh42LBh2trago6odzEwMEhMTExLS8srKjLQ1YUbN6AvEhYWvnbt2i+//JKdnU2SltbW1RUWFm67GdnQ4KuhAR9vzvc+rGVLyVJSgo6iC4QaDSQS6cyZM+vWrYuLi6urqzM0NDQ2Nub595+9vb29vf21a9c4KefPnz9//jxvpX0nGkJNnn9KGRkNMuFjGwUQRyKRdHR0dHR0BB1IL0WlUg0MDIYZGEB7F/RpqqqqmXShQYNF2m0xcNAQkswvoKqr9VhgAkTqC/2TCDUaUlJSxMXF1dXVtbS0+B1Qz6Oud6trbGQgJIsQxmSSOuiG2SXs61d2ZSWlL7zqoB9oys6mjhgh6CgA4J3S0EoWretObFWpKVKVFcLjxvVASILCjImtmzCe9G3qgd6MUJ+GKVOm2Nratlrosj8hCQsjhCqbmsouXGR9m1qKXVODvk103RLzVcTX+//if1dER5d5e9MQoiFUWVBY+fJVZWMjDaHKwqKa4yeay2AAPeCXynvBGJ+7/gDAV0PFlT43v+9yM4qtbV2/bjEghKoTE/tEiwERbDTMnTt34cKFrRabaNkFoX8gUalCO3fU6unREKKx2RX371ekpuINgjLvqxWvIvC/68bofZ01E/+bPHkydc0aPDtZexR12VK8/UFSHda8z71GUYGGUGVZ+Zd9+5tLSgR6cP0Tm07/32xdbHa9fwArPQNPx3p9Z6LvJ+S2jkRsehIAeidZEVnDYWOplVh4ctcfjzSEysPCGhMTeyCwnie0Yb2gQyCKUKNh79692dnZf/7558ePH7OysrKysj58+BAaGsrv4ASJTKY6O5O/DfajrnElm5s9ffhwmpGRsrLyCBWVn5ycSoqLiZREUlQQPn6sRkmJhlBzQWHj+2R+xi14/P35i2Gs5BQ2nY4Qqqyqqvj7Oq2ykoYQjUz+ampaO0wFb8yVP3la8fQZnoO35lpubu78+fOlpaVFREQmTZr04sWL7jyKbiEujmBcSb92/fp1HR0dISEhRUXFDRs2VFVVCTqi78JisU6dOqWmpkYmk1VVVY8ePcpkMt/ExM6wNV4yUVNdUtLJzi47M7OTEijTp9P7X51vbqYJOgSuEGo0zJ49+59//lm/fr2urq6WlpaWltaYMWMeDLDBMGGPH29atWrH/v251dVRqanSsrLzZ836//XZiKlRVqrJzcXau+vRbzCjohm+N/hUeGVZWXVmZjWFQkOIJCND3byJpKSEP0VSHYYkJPC/qQvmky1n4Q0I2rv35c+ecbWXqqqqadOmaWtrZ2ZmVlRUbNq0ydHRMSoqqpsP5rtV5uQgWAi0n7py5cqRI0cuXLjAYDBiYmIqKirmz5/f3OsH8Xfi559/vnv37t27d5lM5r///vv06VMnJ6eVi5YtcVl28vnJ6LiksRMm2E2bVl5a2mERZDLZyOh/V3wvX2Glp/dg+HzRXFBY9scFQUfBHUKXN2fNmiUrK2thYcGZqo/JZJ4+fZqfgfU6+7dvP3flyux58xBCQ0VFf7t4cbGt7d9Xrqzfvp2LUqhUyry5+O8F8eho4XHjSCIifAlXcESmmdMQYnbfcFZ2VVW591XqcmfS0KGkIUMoCxdwlZ1iY40QwtvyVI8zYg4LqerqnWc5d+7clClTTp48iT9ctmwZi8XauXNnTEwMD/HzDzsjs5FGE54wQdCBgG7W2Ni4e/fuFy9ejBs3DiE0YsSIW7duTZgwITg4eMEC7up/L5GXl/fXX39lZGTgkwuPHTs2JCRk6NChbls3LXb+37ROq5f/nJdXcP7UqWNnz3ZZYOMaV2YljYSQLEINz58LGxqS5eX5ewx8UC05mLKx/WUTei1CjYbly5dramq2nPUTIVRTU8OfkHojFouVlZExc/bslomzbG2TvmNazDpVNXb4SwUb6++OrpeiNTRQz/0usXEDefBgbvNiLBbj77+ZM2eSNDWRjIzQz7u6JaQmt3U1jHq5rjZLTU1duHBhy5Q5c+YQnKq8J1GsLIXgSkN/VFhYKC4uPq5F7z8qlWplZZWcnNxHGw2pqanjx49vuRyBrKwsmUxuuQiFpAhZTmPih9dBhEqkUEiKCgghGkLsYaqokkaWl5dFqM7bW0hbZ5AZ73MP9iRSH1zXnujoCRUVFRqNlpaWxpnG0cnJiZ+B9S4UCkVYWJj+33YSvbpa7NtCbTwgqQ6j2FjTEELNzf3zIrOICGu9WzU39yCb8vKav3xBCFWRyUxHR5KmZjeHJC5OwnunlpbSz5xtd3QMQkhUVLTVWKHq6mrx73it+YVMroK+kP2RmJhYbW1t03/rZ01NjcS3G3B9jpiYWNvfmSQSCUP/P1E0Q7S8hh3Nw4cqWXsUWXsUQoiGUOOqVYyJE/7XtynkfvntO/hVRubr1/V3733PIXQnDKu95En7+lXQcfCCUKOByWS6urrKycnhK1cdOXKkqV/flW+LTCbbL1zocfQoJ6WyosLnzz9t7O2/v/DKiopq9/39st1AkpJCEhI0hCozP5UePIThXUCamticj4/m5saEBHxsaiWLRXsVUU2m0BBCFAqJnzOjkYYMYTktqezgnDs4OJw/f56zyCyGYUePHp07dy7/4uFdfX1Tbq6ggwDdTElJydDQsOWUd58+fbpz587s/17s7ENMTEzKysoePnzISXnx4gWJRHr9MuL/FzZikROC4u1nzs0tra1r4PUrhkJB39Z4pMy1pzg6IIRoCDGmTGmwtsIbExVv3pae+g1f2KK5rIyVltbDi1xgTU3MmTMRP9ei5B9CP1NOnDjh4+Pj5uZma2vb1NT05MkTFxeXmzdvDqhFAY7//rv15MkLLC0tbW2rq6que3k5LF1qYWn5/SWThgxhHztCI5P78Rx/pFFaQkcO4505sLKy5uAQqoMDUpBHTCa7opKkqUlCiCQkRHVZ3nMhKSkhhGgIiT54MMjEhCz3/3ct5s2b9/jxY319fVdXVzExseDg4JqamsjIyB6LjQvCwvWBQZK7dgo6DtDNfHx8pk6dGhMTM23atMLCwqtXrx48eFBPT0/QcfFIVFT077//XrBggYODg6Gh4YcPH/75558bN24cO3nCfob1nHn2zMbGgBu3sxXP2wAAIABJREFUxo4fZ+diz6ZTnsdk21t09yzyYmL4/8k/TCT/MBG/AoFRKM3pGVQNDSQmJvX5MzM6WnTOHH53NasSEsIvjfRFhK403Lx5c+fOnZ6enra2tnPnzvX09LS2tr5z5w6/g+tV5OTlXycn2/74Y05WFrOhwdvP73A3dgWlUhFCNAxrjI/vtjJ7K5KyMnW9G1KQRwghMTGylSVJVpDtpfrJk2lpaa0Sr1y5cvnyZTqdnpeX5+LiEh8fLykpKZDwukClNm3fJuggQPfT0tLKyMgwMTH5+PGjkJBQWFjYli1bBB3Ud5k+fXpKSoqamlpKSoqSklJSUtKCBQtCwh4vX72yuKiouqrql1+PXfLxIpFILInqysGPKJU9MVSEJCdHnf8j3p6oGTq0fvToKgyjIcQur6i/fQer7c4ZX9h0evUe98o+PicboSsNJSUl9v+9Du/k5GRmZubo6MifqHqpQSIiq9zc+LgDEqkmN1dWRYXybRgh6AEkWVnS1Kk0hGTq6hCFQvp2zdDa2traui90U/02pgl0I3ZVVWNCwqBp03ibQYtdXc2urqZqaCCEvj58WFdWTlm5AiHEjo9nR0QqbtuKSCSMxSJRKIjc4S83KSmpHTt28HgAvdKwYcP279/fMoVKpTosXeywdHHLRBGKyBIdFwaqqcsVeVdTPXOscg/FRyaTv13LqVaQx0wnN1DICCHpysqGp89E5tjy0Ke7pSpRUdLhQ31l5seOEJ2nobz8PzMiNzU1paSktEz5+PFjd8Y1UFEcHGqgxSAgNBar7MzZvti5pPE7RvGAdpGlpevk5Gg1NQgh7OtXvH9u51jpGY3v3iF8UvmEhJraWvwO+ldbW7zFgBAiT5hA3b6NRiLREKLl55f9cQH15akX+E1CoaG6IbaJLZhTRFJRwa9AVMvJ1RsZVTU30xDCauu+PnzI1ZyzXx89rnj6jIYQSUgI8bq2Ue9BqNHg4+Pz77//VlRUcFK8vLxaLV4lqGUquVJa03A7MreG0fj9RbExjPeuOl2hIcS4caMvfnv1aSQZGaH9+2gd//LrtaozMtm0vjWtXK9HIpGNjEhycjSEaE1NlU+eVpaWIoQwBoP+6ynWt/tZdd5XmRGReOOgpqGhVlUVfxkoM2aQ9PW72MPIkdStW2gUCg2hxrg37D4+4SOfjNccVVNSIkxDHwqqera34n+QdbTx4ZFVgyXqR42iMZk0hDAms/b8H+32RG7KzW1MSkII0RCqN55EtpzV0xHzDaErb5MmTSoqKrp58ybntm5VVZWQkJD8t8k0GhoaGAzG5cuXie8Yw7Ce70cpJY5NVkPS9WQhJvra2HTzbc5MbSWVUYMRQv6vsvU1ZfXUZBBCD98WSohQzfWVEEJRaaUV9Ia5xurCNJReWvO+kOY4XpNEQkXV9S+z8uz0tKREhesaWP6JuZY6KkNHirMx7GVyiYGmrLzkd3Wl+Trxh0H5+dRuH3MICKAhJPTHBbHFiyj/XW+l16IuW9r3Wjp9B2nwYLyLLg0hJC6O9uyu5Ty3xpXzE4Q81pDnXdTqaLNfRSjY231PnP2SkrgyQoiOaDXlpUlNX8cN76lbFR0jffvBXDVoEOa2rvHbN1mT91WyoSH5h4kIIfaXL0hZBX9XCrbPVrcj1GgwMDAYPnz4Dz/8QOng7imTyQwICCC4SxqN5uPj4+npmZmZSf12v/Ddu3f379+nUqlxcXHnz5/X0NAgWFrnqqurL168+PHjx8GDB8+ePXu6zfSCpoyXD0PfvIpl1DOwoc1TRh4Vpo1BCElKxQs1aQvTZBBCsuIfyWRq6oti/4AbGcVpEooSupKHVNXUasipjx5deHgNiYuLTzT/QXKCRJ2o+OPQiBfPnmWVZX4y+GH/uuODB0s2Nad8rRgj3KTSKItCE4qMRsgNkf7/oTXFhYU+np4FeXmy8vILnZwmmpi0GzlZR5vefZMq9oySkpKLFy/m5OSIy8n9uGiRyVRe5ldJ//Dh5rVrJcXFysOGLV+zRktHh4dCIl+8+DcoqLqqSmPEiDUbNyq0mFKGoMbVq/yvX3+TlNTQ0GBoaOjm5tZL5mmIjIwMCAgoqaxUHz7cdcOGocr/+wyl9bXa0tvU1dVdunQpJSVFTExs1qxZDg4OCKHQf/999vBhXW2tlo6O68aN0jIyfNo7SUqKYm9HQ0i2qQljsUh9czAet/4K8tYzmjhMUY3IxprqQgmlL4xpyx4nhAf4/YM11HLeArTKSu8LF3I+fRosKWkzd+6MHumKxGKxbl67Fh8bixD6YfLkpatWUde4xsfG3tm0iVZRoaquvnrDBpWuCqml069dupT+4YOomNh0Kyu7BQsQQiEhIY8ePWIwGKNHj964caMUPwef84DQ75P58+efPXv20KFD+ztw9OhRV1dXIkXl5eWtWLFCS0srt8Ulna9fv65du9bd3d3d3X3u3Llrvq0b+Z2Kiop0dXXT0tKsrKy0tbW3bdu2Z9se30PX/zhxVkdPd9r06U35zfMsrXNqMunCtOkjZ6kpqtGFaXRhmpHahNSw5HkOVmLyovPnOyiKDrGcPO3R/QfLpi9uKmqeNmO6lo72uSMez8+8OLL94ImDh3VG6y61dynIKBw3WSerKl1LRYUkWUcXpgnTkBAl+WtZlTANIYRq6hsT4uKmGhjU1tZa2dkpKCoumzvX+0JnE4/TEKr783KfWKvi/fv3enp6lZWVdnZ2SsrKKx0c/vjtN24LuR8YaDt1qoioqM3cuVQq1crEJPT+/bab5ZfVFZb/b9WP5+8+P0kswv/+WFgdnlzicfToOmdnFTW1Wba2pSUlJrq66d+WOyfOddWqs56eo8aONdfVjXj+3NDQsDcsF+Th4eHg4KCsrKz9g0VVZaXpmDHJSUn4UxidzoyJFWx4fVd5ebment6bN29mzpypr69/4MCB5cuX79m82X3LlpHa2jOsrTM/fjTR1S0uLOR3JDQWq+zosYGwTCtCKLOq4GTy0VvRtzCs61uxMiKyM9Vnn/rz8IZli5qEmk1MpuFvgdB//zUZPTo/N3eGjY3GiBHbfvrpyJ49/I68sbFxjplZkJ/fJFPTSaamAb6+dubmXn/8sdTeXkFR0crOjsFgTDUweNvpxPPlpaWT9fSSk5KmzZo1esyYI3v3OjksdXNz27Fjx+jRoy0tLVNSUnR1dYuJrYzYczBBKCwsRAixWCz84a1bt1auXIn/jZ8gOp1OvLTXr18bGRm1Tbezszt06BDnYVVVlaKiorKKyqfSwuLaSvzf2s0b5jks4DzE/8Wnp8jIyoa/jeak+PjfFBUT27h9Cycl/XOe4pAhQ5SGZpTkcxI3bt9qO8++ZVEfKrLel6UV11bSK7DLT1PUR2h5//NPJYbh/+I/fZKVk0vIzuaktP1XkV/QVFTE+7nuJhMnTrSwsOhkA0NDw2vXruF/V2LYu7w8eQWFmLS0Tg6t1b/c6mp5BYXQ6GhOyr+vXikMGVJQW1uJYX9GZL/MraytxGorsVtxr56npuJ/P/wY9iDtKf53RGb86QBPRYUhGalFbz9UnwnJKGtmn/b0HPfDD8TDqMQw73/+0dXX//z1ayWGVdDppdd93dzcVq9eze+TLCQkFBQU1NGz6enp8vLyubm5GIadexxdwcYu/vWXrr5+BZuNh13n68vvCPu6wMBAISGhtulLly7dtm0b5yGDwVBTU5NXUMim0Ti1Ys/hw5a2tlxVpO/513dZWFhMnDiR4MYPEp8uurti6V3Xx+/DWn0Ot/33KiFWVk4u9kPSh4qs5/kRtZXYyd+uCIuIHfj1FOe8ZZSVDVVWfhITw9dXx/3o0VmzZ3PeehVs9mQzM1ExsTcZGZxtrgUEDNfSKm9u7qiQeY6Om3/+mfPwRUaxrIKCgqJCdXU15/zs379/3rx5bc+bkZHR69evu+cF41KvmIM2IyOD0z1CSUmJTCZ/+fJlcJvBLRiG3bhxo6GhoVV6dnZ2XZuGeVNT0+PHj2/dusVJkZaWVlVVpQ4SFvs2xQdCaN3mjZMNxrXK+/plhMmUyaN0/n9qkVk2Vg1fv5rPmM5JGTx48DC1YYhEajmx67otG4y09NhsNvlbZzrpQf+7nlk7iPaFEdzAoC+2XFzOaCyqZOipyWiOHDnD2vp5aOjq9R0upk5SU63p9Vee8/Pzi4qKVq5cyUlRVVe3mTv32aNHo0aPJlhI7OvXo0aP5tyvYbOxrCbl/2PvuuOiON7+7PXGAUfvvXcQUREUREREsCL2XmNNbIklJrEkJnaT2GsssSMqdlGpgvTe6x3luIPrdff94wyecMChWJL39/3cH3fPzczOzu7OPDvP83wfAwOzzAfJwUEjtaiZOJwVBwcAAPYWWtp4TQ6GBQDwNPUCAHAACwBgZWB2u+DqmAljKRbE5vZiimUegW23cNKi79et33vx5Yop/li0Wltr92/fXrB8OZ5AAAp79qyZC4b6j/LzO/rjj2jjz2ZSvX//fmRkpMJyB+lnADAoZvbsbevX11RVWVpbAwDEM2d+ERaUfyFu375drJQykUQiWVtbt7a1KdsjvvrmGystLbFYjP8kDvAsBKFkZ+O8vD7BsT4jvOx8XK3c/kq5cKTyd6tqhwUD52lTuk0O8+zRk1FjRpuZmwMAtPDaHMAaP2PUt+sFLj72OBYolfGyKlojfM2mzJwZf/v2gEGDPl6342/f/v7nnzvc8iAIcvPyKi4stLF/S9k0Ljp669q1JYWFTq6uKhu5HxeXU1PT8dNX19jIwoAEEZXtEWvXrtXV1ZXL5Z18A3g83u3btwu67KESicQZM2Z8VH/BL0JpaGlp0f7n4YQgiEKhSFXRX4jF4sePH3dVGphMpkAg6CSUSqUwDBN7Mw2SKWSpRKq8zAMARCIhiUxSLgbL5QiCgK4X4l1vXhKJLJfJYLkcpcoDf7De0HOUMxwci8DDFlRlWegFUIhYMoUi7nJGXcECALP7V42v17xf1PjHhkgkIhKJne5UNU/tbSNCIZFEPvukbJiJgb0+VQ7LqVrJBCqKLWdycexAm7camzHZVGULKBRGJpaTSGQAgLWmnbWmHRewAQAEEh5LfU5gD0ajUIUijkgqd7XoyTgtEomIpHduAAqFIhSJWIlJVFMT/JAh6p9UP0IoFHb4VUy0nYJnQxIaIJJIfRrk/0ElRCIR6d0r3hUKJVImlX4apQFAUHt2jo6FBeq/5UbXFVgMbm7A3JHNI07lntucunEIeVi0bzQWg+taUiQSdZqZJWIxBEH6mvocHMsQByBsSnVNOxVNqW1ruZ5UHT7AlIj/KBOmuMsUAQDoykXdwxwol8slYjGJRMooYwqZwmAHUw6OTcKQgfwdSw2JRIJhWCqVdlIa+Hx+enp6VZfADSqVGh0d/VFv0S/C51pTU1N5q0AsFhuo8lwjEAjnzp270gU//fSTfhcvdyKR6ODgcPPm2wwlMAyzWCw2i4UoXdq7t267erh1WuPdPD1ePHuunJ6quqoahULVVL69QgiCsFns9rY25dbu3Ip1cnXBdMPdYWNn19zYVJiXD5MlFuYwpl0grePdv3vPyV2tlwnp5EnIl5pZ1MrKis/np6WldUhEQuHDu3c9fHx6rSuTI3fT62pbeD5WXhkpKZD8IdCu4+BYfALHg+xdklPk6t5L6Joy3Dw9Ht9/IBGLOySpSckQAs0LWMwncDg4FkbUUNSQiOsxPtHdy+vOjRvKkthr1zx9fNDRk/lDhrAAQHg80YOHiKQfYnfVh7e3d3x8vEI/RqEwdKTp4o1HnPZ2K1vbjjLMly+lSm/M/4Oa8Pb2vn79neSKTCazva0NVgp7vnfrlqWNDfkTpoxCz53T9l/XGDpgqm++NWTzdONZmbzsdc/W3c+K71rGzcP9yYNHIuHbZbi2uhaCoNqqasXPMMdQXS2d2PhrA7ydqeTcqtocHAvw6sV/v6hk88RdG3xvuHl5xb17wzQxGGKxmMd9G1hTmJfXUFfX3VYrGo129fSMu37dDAtKMX+3opsQBGGzWWw2W/muu379urOzM6ELrbWBgcFPP/3UdTU8ceLEx1Zq1VUaYBi+c+fODz/8cOjQodzc3P7thLm5eW1treI7l8vV1tbW7g8v5cOHDy9duvTUqVN0Oj0vL2/69OmKZKxfL11RVlLaSGecP3n6h2+3/Lh7V6eKnj7ew0cEz5wYk56axmxhPr7/YPbkqbMXzNu+5YcLZ841MRpLiopXLlxKJpPxePzqxctKioob6Yy/Tp/duv67n37t3FoHiCTi5u3b5sXMfHAn3gSYvy5MHT8tzNnNRYRXi80JsrJq0+k1q/PnAQ6H279//6RJk65evdrc3Jz56tX0qCgHZ+fgUaNUlheIZeeelte18HEsALFEbPk9GVyp46A9dc6ME+uOVmSUM1uYL54mzJgQPXfJQmPTXn2Q3yI0PMzY1GT+9Nm5WTktzS2x124snbNg+28/d+jphvoGg+3tFW6qKamNT3PoXRtZumZNcUHBN0uWlJeUNNTVHT90aOfmzdv37esowKZQeFpaLCYTAIAIheLUNKTLXhcAgH/uPPPly/7iTxg5cqSbm1tUVFRaWhqzhfnozq2ty2bs2LcPh3v7TgYNGgSz23po5H9QiQMHDqxbt+7PP/+sr68vKiqaN28eDMM6enqLpk0rzMtrYjAunDr1zZIluw8f/vR9Y/H5spraT3/cz4IhzgG/hewO0Ai813pnw6NvU4uSlf8dNiLI0dlpzpRp2a8zmS3Mu7duL5o5Z96ShWuXr7p26UpzU3NBbt7yOYvIZErUpAkBtkPN9E05OBZGi29IKyqvT8GxgKxRduFuOYMlAAAgCGjjvafev2n79stnz+7+4YeaqqqaqqpdW7cmJiQMCwmZGhGRnpLCbG6Oj42dERX1/S+/qEzaKZMj8Rn1O7ft27R6TVzc+RGao6vLqlYv+QqLxWloaMycOTM/P59Op584cWL58uWHenSW/wxQx/GBx+MNHz68owoEQRs3boRh+L09KWpqagAAYrFY8ZPBYBgYGCicH2/cuLFx48Y+tdadIySCIAkJCQEBAUQi0djYeMWKFSwWK7eqZMa8OfoG+kQScUjg0NtP7qv0uKluZXz341YLKysMFuvk6nLoxJF6DvPmw7uDh/oTiAR9Q4PZC+cX1Jbn15TNWjBP39CASCIOHup/69G9Xn15jpw96eLuhsFiLSwtN2zdlMcovVpyg9uKMGGELpH17oMjk7Vt+wH+x4f0k6FXR0gEQW7cuOHj44PFYo3NLdZt3VrP5+cx+X+l1zEkslYEKWkX7r1dUlkj5LYiDYz2318dV7iIKn9q25p37NltY2eLwWLtHOx/Obi3rr2l1yHt9ClrqlvxzWpTczMsDufp43326sXuSsZV3L+ZF89tVTHORQzG9HnzdPX1yRTK8JEjn6Snd3dFmGJx8+PHTDq9FUFaYbjxl90taa/ez6mtZ0dIBEEEAsHWrVutrKwwWKy7l8eaPWv/Yz50HxvdOUIiCJKSkhIcHEwmkw0NDRctWtTc3FzBYi1audLIxARPIAwaOvT2s2efzAuy0yPftHPXJx6oD0GfHCG7ezYrWxt2xe+fcGPK3Btf3c58O0tXNDd8/e16cwsLxSNw4uK5Bm7rpdjrPgN9cXi8sanJ4pVfFdOre5gfrpfGXi6+xm1F2lrg409zUwobFeN8LYdeyBaof13SS0sjJkzQ1NLS1NKKnDQpo6yMLhJt2r7d0toai8W6eXqeuHy5u7p19eJzr+7Flt+NfRw/OMCfSCLqGxrMnD83r7q0tbX1q6++MjY2JhKJgYGBL168UDlun9EREkLUINnasGHDzZs3t27dGhQUpKenV1NTc+DAgWHDhilCmfuK27dvx8bGnjp1as2aNVFRUcOGDQMAXL9+PS4uzsvLi8Vibdq0SfnlqVckJSWtWLEiMzNTncJ03hdKnEcUaB1LzZ4c7KpF6eXckbp6mpYWpPHptkkBAAMHDqRQKE+fPu21ZG0rv75B7G5KAwDU8xi5rbkhZsE4FJYparrTdH2E+WhN/JcVdgwAoEpox5ILhniZ2pt8lL6pucWMw+EuX748YcKEXkt23MYEioq2tfl86MtglfjScP369alTp0rUsyv110whEMuwaBQW80G24H+RlSI4OJjH47169Uqdwj1PyCKB4HLG9dfiVAqkFWoYNNx1BKTCs+z9UcetrufVDTYKoEpoqfQcjpwZajYCAHC7qp5Kwg5x6jO/Sw+AEeTqyyo/fW17fW0OjiWDpRiUCkO2saonuiu8vb0PHTrk7+/fjz1UE2o5iaSmpr58+bLDz8DOzu7QoUNbtmx5P6UhMjIyMjLy5MmTysKJEydOnDjxPVr7SJDLZHWMmkpmTZOAyZNxuTKBDJbLIDkMZBBA4SEcAICCJtNwWoYUfWs9K2M9YxTmg/IGCYhsbctM0G4MKIY9l4TMTNlf8CTCkpcWo3ItcWMBACgNiQPRXEjgiACEw2EnUGN6rf5ZwMGxdKyy0GIYgD74T3wJyM5k4nQxzuZaysLWnBwyu404Jvxz9er/J6QyGI2GUBDUxpPEPquOcDUz0iTK5EhSYaOzsZaVDgUAcKGwysFE092qz48vCwAtLvcDEyb960AgkeYEzpwqmHAx49qNxhtxjDvDtIeN8R6LQfWPe6OZhqWZhiUAgINjOZgbNQogDo4FALAyai5ozIWY07Eo7P3CWjkMjwy0BADk1bAlUrmPra6a7SMISC5qMtAiOhOoAED2Bs0F8lRDXBgAQKXG8K+AWkPv4uLSyTMRgqDW1taP06XPBATJLc/JbSysEtexkVYR1AohAA80SIBCQpEpaBIFRyJhCHg0Xo7IBVKhQCZoh1sZgrpXfL6guQ0gEBHQtIGOKd7I08DF1cYNg+nbPQFBUIT1BAAAjgXu1TQMdNCnknpqgSWToX/8ifrdtx879Xtf4anvpU+yUHynYDUo2H/HNDfSIhwAIOKx2puxsaV1C0KdUKhPTXP+HtAwrq/hiJzBO9FlqCFDBK2t/y84Bb8YNLcJHybWT/KypBKxGnKZpkkqwJE5OCICELZWfCvBxQoMAQCY6VTQ0BY4Fg0A8HdJjaOpppOZVm9tvwErL49EZ5AmfUEvV58GeBJ5buDs6ZKYW5m3n7NfPnny2IswYJznOG2N/iToRKMwJpQ3YVkWVEsLqqUQcIUAuDjJkhkvmlnDTYGlKYTENd+2IY7WJxrl09mvGxqmezvCehgGS/Ags378EEtNEo4vkt1NqBlkrWWrq4MgQCwqyWdVm1pGAACcTOydgH2PvfgXQC2lAYPBIO+miqiqqkr/TyTWa29nPSl6ns8raAb1AAAdxNiMYBygPcDDylOb3Aevw1Zec151XgmrvFxS8qouAV1HMADmjmTbYKdhNC111VIFODgWmpyVX2I+xMu9p3IYjGztN+CT5+/470OzBaf3EMWyBbp9sJF9LhhTzMQ8FflyoC/VZ/a/hIZW/tNk+lRfKxIOQ5EIyZZJHCIW4KgAgDD7CEUZCECRNhPBP1QiDsZOMrmUg2NRJTRb3UZdmIRjAYl6+w6oIUNEfH4vgaH/XeBw+OhBk6PB5Jf5Lx4zEjalrTMBtiFmgQMdBvevzaITNPFaoy0jAQAcwCLSwHjNMWgI4qBYZhZIJbqgUCq05Nlo44C+8eviploPPW80AJaO1VVSgT7OHwAwxN4VANU8Df9SqKU0uLm5zZkzZ9myZSYmJi0tLQkJCb/++uuUKVM+duf6Fw0NDVlZWXxE6unjhcagHuQ9SudksiG6FmJkQ7QYbxLhZuXZayOV5RVlJaXaNG13T08C8e0rvg5Ff7jriOFgBAAARuD8mtyM+ozXvPQnGXe0gakfxTfEPZhMeuOFkJedW1dba2pm5uLuqjKdxyCjwXR+HY4F+JqwMh8Rj8vNSk/n8/lunp4mZmYQlcoGIDcrq7WwyMLB3tPTE/O5WRyys7MrKyuJulou7q596oxAIMjOyORyuS5urqbmZgphUX5BdVW1kbGxq7srX8BvZjexhKx2UbtIJoYBIpAKAQBEDIGMI1JwZB2KDgEQqkqrYRh29/LU1dMFAMAwnP06s5HRaG1j7ejirE5PNPFaMQ6zRIBHZdHu5NVZ2lI/kqPD+0EkEqWlpVUw6pxcnCysrCAAWRtat7SLdKmETgpka3U1VSjEqk2u9T+oAwZLcCu1Zr6nLYWAJYs4wCS+DR8lw2qgcGA0JVK5ZE1VVUlRCVWT6u7l2UECQUQTAZoIAODgWDQt7WZxhQnQg5rhkyllEcPM9bWIAAC5XJ756lUTg2Fjb9/BC1RTVVWUl6ehqek1YIDpf8JhJT8/v6ysDKdNcXV3w/bFiS3ANTDANbCWXnOnOP7g44OSq7s9zAbMDZ9tomfWa91GOiM/NxePJ3j6eGlQqQAAiVicmfG6jd3m6Oxkaf0mQWBZSWlFWbmevp6bhzvu3QhGLPrNBjAEQcPN3uauDDZ/Gynmrvs+lFzNjU35ObkGVNqAAQP6JX7wI0GtaX3BggXFxcWDBw/u8JoMCwvbvn37x+xYP2PHjh2//fabq6sri8eurKy0m2TrEeHnTfEa6bKaRlXrnUwmk61bvvrx/YcOTo5CoaCR0bhz76+jxozuWhIFodwtPd0tPQEAbC7zUeHjJE7ig6Q4U8h2qJbf7z8cKC8ts7GzbWlqhiBo/9E/3L06J8eDIMiEYs4BrJJ8QSlXPHmoDQDg2cOHX82ZY2hsTNHQKC0qCho58sfffls6a1ZRfr4tgcjGoGE0+syZMwMHDvzg0XofcDicmJiYnJwcR0dHelOjVCLZf/R3b98B6tRNeZm0YuESHV1dqia1vKTUz3/IkvVffbtmfWVxuYaJpoDLl0mknivdDRxM0QCPBVg0wKIhCAPwAAApIoYBIgOysqcFuWcyKSYUNBrLrW93D/EZMz7iws9nRXyhhZVlbVUQFPLCAAAgAElEQVSNrr7eoZNHLNTOhcbBsdDGGVWNBHsTFVf5syAtLW3q1KkUCoVK0yovLfPw8jx4/E8NKrWF3VDaQPJ3fid2FzI3Z1+6rP8/peGDwRFI4zPqIq1NNUk4spivaZTAJZJhLIWAw0/WnNG1PIIgm9duuHX1hqOzk0Qiqa+t3fbzjqhJnf1bdYi6OkRdDmAhOETLNJUi0geAWFVePi86msvhmFtZVVdUGBobH/nrryP79185f97J1VUikdRUVe0MDV1w7twnOfWPAqFQOH369OTkZGdn5xZWK7eds+ePg4MD+ubTh0Ww8dtvNjc1aeprXWw4fWn/6eGrwoY5Dg9zDaFSVK+4B3bvOXLwd0dnJwRBKsrKV29Y6zPQd9nchQQCXldfr6Ks3NXdfc8fB7au/y4x4YW9kwOfx2tltu4+uG94SLDKBvsRRw4cPvDrXkdnJxwaU1xcvG7duvXr13/sg74f1FIaIAjas2fPkiVL0tLSeDyeh4fHoEGDPn1i6/dGbGzsiRMnsrKyLiRcfK2ZHdASfH3L5e+iRgcOHq5+I7/vPVBbXZOY/UpTSwsAkPIyaeGMOY4JDy16zF6traEb7RcTDWIqGeW3i+PWbl6Jx5G/P7szwi8CBaH+On12yax5j1JfdJdBUd9EVFL1AgCbRjp9ycyZh06dCh0zBgDA43LnRUdHBQd7eHtfqKhQcNXFnj4dHR2dm5vbkcH8U2LVqlWampoVFRUEAoHOY127dGXxrHlP0xI1eutMK5O5bO6CHXt/tfG0flX7uqSt9P6+WzGTn9JMdecc+8qcamyqYVyaWnzk18PH0s51l2YwLzt32qVJt+MfGJjrVTRW5lcV/PHtgd+SdhkHmHhO89IGxoHY0JKbecvnLbr1KL67ZK1d4W80DBgBEY+F4VHvVjeM8TXHoD/bbd/e3h4dHf3jjz/Onj2bzmOJReJvvlq5ed3GA0f/IJNEDe25AIx/pwIKhZk+7TN19r8ANk9MxGGoPDQi4KAISQLyMAhLweHQEzR62WQ9deR4VsbrF5mpOrq6AICsjNczJ8Y4ODs5OqtW4CAABduOFCE8jRbq1MjJQ0eN2r1nJwqFksvlOzdvnhASQqFSUwoLFclac16/nhQS4vPqlddnej34cGzYsEEul1dUVDRKG7Nb8tsyOMvmLniU8lKxO6gOEARZuWip72C/TT9+j0ajEQTZvWPn9f1XSD+Tn6Xe00HMXCnOw+2GGeq+VaPv37l3+dyFR8nPFRuZleUVE0ePBQhYv/W7qbNmAAAkYvG6lWsmhUeZmJok5WYo8hg8ffh45cKlD5MSDI3VYtN5PyQ8fnriz6PxL55YWlsZU2hVVVVBQUFOTk5jx36JqdLVCrlUifv374eGhqrkS/7E6DXkMjg4eMmSJdHR0SKhsEXCRaMxl89fiL999+zVi+ofxc3S/vr9OOWEFNs2biIQCBu3bVGzhSZGY4C337a/d6SLM2AAD9Hwn+g9bvrEmJiZ08dHT+q57sEdf5bVlR3/60yHpCAnJ9DTs5LNVigxCsQM8J22YP6cJUvUPy810XPIJYvFMjMzYzAYCn1FEUY1e/K0sLHhigeyO0gk4u9+2PA667XrGjcYkusBU3uijSHQmxkW87qkwND4bSDJgmmzho0Imjl/rsp21i1fbW5lueKb1R2Ss8dPfb/xu8oWOp1Zn1GTWcqpqIerHiyPG7EiInxQWJBrEJnQh5hVOSz7O/dGhNl4fYv3icLql5DLM2fOXL169e7du+CfEebxeJ42jq8Kc2g6OlwJR49mqbKiJoOBNvqIU96/COqHXLYLpJdSs0c72GM15VK5FAZyPFpdj+Mhbj6HTx1V3mb7bcfPbBZrx55e8r6mJad8vWzFqZuPPNxsFBIYho0JhF8OH569aFFHsT3btzfU1Z05elTN/nxi9BxyKRQKdXR0qqur9fX1yxvbcmoYo+yc5i+ebuVsbR1pNdI2DI8myBE5hCCo7kMkCvPyZ02emlaQ3fECgCDIyCHDvt/5k4OH/ePihAJ+ERvUEwHNGmvjZ+TtbecbHTFuzsL5EeOjOhpZu3z1w7vxuVUlHRIeh+toanXv+RPl3d91y1ebWZivXPf1h45L95g5KSZy/LjJ02PAPyGXly5dOnny5OPHj7ur8qWHXAIARCJReXl5W9sbsjmxWLxr165R3fD9fWloaGiwt7cHABCIRLRcCACwsbNl0FVQAXYHiVjMam21trVRFtrY2WakqRWLrEBTY5OxifG0wBlTwfTHOY8eND9OevESoUIN9fW91qWzKnidrH4QhEKhpO9OfzZ+A8tfq8VX0b9obGzU09PrtMNh62DXSGeoLI8gcFJh0gtGcgNSXlxXamhqOMdinredNwShAABVFZUoFEomeyf/iK29HaOb1gAAjQzG8JEjlCU4PB6BERQKZapvbqpvrhBOsq/FtaMT2C/vvbypD1kN0vEJdhmBw/XOuopGYWLcJ8gRBMcC6e0sCgFjY/Spt3PodLq9/Tuu1xQKRd/AsLmxiaajo4GjFuexaWYEhV1cGa1Xr9Eix2LUtsv8DwAAFEZkYNYIKOYAYLFoLAB9CIZiMBg2drbKEhs727gbt3qt2MRotLW345PKcCwbroYcg0ahUSgYhjvx1tg6OKSnpEiys3FubkDtbbMvBEwmk0gkKoj/dTVI5uYmEhqwcXdsaGTqtg4lm+iTcBgGrzm+/l648wgSRvUWbCOj0dLKSnnLEIIgGzvbRjojIGjYtCFTAQBCkeBl8Yus1vyztedO150oKC/I5eUZVxi5W3ph0FgAABaL6ZQ9SCqTKppSFtra21X/Q1P9kdBIZ1jb2dQ312ZWZ7nhLP2HBjk4OHxxGbH/gVpKw9OnT2NiYlpaWjrJO4VUfLEwMzMrLi729Hzr51hcWGRqpjrpkUrg8HhdPd2KsnIHJ0flRkzMene96YChsRGjgS4UCIkk4kiP0JEg9HH2w7Xlq+V2cusM+/ABPUXVm5uZ07OT4BYhSu/NkiCTyRAE6eRAVFhSMm3uXBYA2jyevLUVY2Ghfvc+BMbGxi0tLe3t7cr52YoLCsd1CQ9rZDJiC+IKJXkwkNtjnJdbr04ZkpyR9srH/u1rGYIgMAxjse+cWlFB0aiIbn0LjIyNK8rKlSUioRBCoZRTkclkMnoN/butW719B9Q0Vj0sefKA+Sju+S1LtFOEXaiTmUvP54hCYVAAcNAsDK4spaLSxmhqz+X7HaampomJiQCAmpqKdVlbt/n9AMlRLU1NRiZvEm9qGrGTK5vGeQ/uVBGzcgXnCyb2+DKhgdPwM3rP1zhjE+Py0jKfgb4dkpLCog733h5gZGJcVV7ppe/LgVjCBuKVopp5ITYoFEr2bgK/ovx8MwsLDgDkh4+Io8Per5OfC3p6eiKRqKmpycDAQIuMsyHjAACFeXmDAwLmhdoDACQAkMg0I1YoQOtQJXgGv/FZ48MQu2AC5m3giLGJcXVVlUwm6/C2hmG4tKh49oJ5HWWIBFKoZ1goCAMAlNWV5BnkF1eUMIzo8qo/NRB9E4xpBb0chmEYgVHQmynizXL27ppWVFho5/BR4iS5vLb8moLi1go+XvDjze+NRuhTgZ4mBuMPQH5+vrm5+cc46IdDLePCqlWrzM3N4+LicnNz85Twr9AYAACrV69et25dfn6+4mdedu6vP+2av3Sx+i0UteaPnTvu66UrmhiNtZyaUnbx/Tv3Yq/djJk1Xf1G9A30R4aHrVm6XJGdC4bhkmdFFDE5ZsT0+233Nj7anFeR3V3dSTFTcl/m/B13Xt4oi8+oZ7a0bFq92snVdeX8+VwOBwCAIMgfe/fWVlWNjowEALDweNb9BzDrE9FfamlpTZs2bfbs2e3t7YrOnPzzWEVpedjYt5pQalHKtkc//Zi9hSljjTMcf2DE4RVBy50sXKImjU9NSv77rzemIjaL9e2atc6uLutWrG5va1O0dvb4ycL8/DFR3Vr4Zi+cd+zQHymJSYqfNdXVp44cMzU327Zxk2IzRiqR/PDtZn0DfQ9vLwCAhaHVwmEL9o3ct8ByMQLkh0r2ffvouwdZ8QgCd3eIDtho2oW7DhXxWDgWuJtex2AL33/g+oJx48YVFxcfPHjQ3NxaH5j/kvDb6sVfRU4c32Gf0iJo4gjV3VVnIQjyv3yYnwQLv1q6fuXX9bV1ip8vniacO3lmxrw5vVb09h2gpa3946atMqlURm3CazzcuGqluZXVn/v31/yTz/Dl06fHDx2as2QJytNT+G/TGAAABAJh8eLFM2fO7GD6uXDqVGpi4viYt8xvRDxmhKcxTQMvoQG8ro5cOBTN1aNKaI18RkZjKgIQB2cnW3u7Td9sEIvEAACZVLpz649EEnHgYD+VB7Uzc9jy3fdFf+csN1n5rev3AdpDGeWM1y8zhEAUtmr4Nw+/3v5k56H7h6ZPi7awtdyybgOzhamoePPKtWcPH0+K+dBQQblcVtdUm1yQeDn5731PD295tG3l4+XrU1dfpV9rkNSNnBRacblsic6q3SG/To2YmZeXt3HjxlWrVn3gQT8S1NppKCsry8nJcXBw6L3oF4mIiIjq6urAwEBbW1uxTFJbXbt5+zb/YQE917pX8MyAYBhk5g8AKCuljZ21niD9c9iAwcYWthwOCyOHz574G8bir5VdnmAzqQfzmzJ27f/tm2Ur/Zw9nVyca2tqtGm0k5fOOzg5RogjzqX+9WflIesal4W+czW7kJboGxoc++vM6sXL9+7aLSdCrdVNk6ZN27Jr19qlSz0tLV3c3WurqzW1tM7fukXR0AAAQFgsZvEihTGJkpOLcDn4oUP7PnJ9wIEDBxYsWGBpaenh4VFZVUXWoJy8dE6DSkUQ+EH2/cfMpyKI547zWeW9vBMli46u7smL51YtWnbw172GRkYFefnhkRHH/zqzee1GPxcvFzdXRgOdQCScuvSXsvdGJ7i4u/1ycO/S2fP1DAwIBEJZSeniFcumzpqxctHSgc4eNnZ2FWVltg72f5450ckL0svOx8vOhyfg3M6+e5/5IP7xA3+NIeO9ozA92iwUu6YcHAshJ1XWWRhpd365/xigUqm3bt2aMWPGvn379IwMsnOz3P08fv/teEcBCEDB5qNQLYhYG+lKWozIZM3bftT/4Xvo02R2/v8HWC5vrG8ua6rB2uppO5oEDBikY24gFUlEHP7E5XOYHB6xss7I1BCD69bSgUajj5w9uXLhUl9nDxtb27LSUjcnjyuXH52/fmK4l5e9k5NQIGhpbj548qSLe48kLl82du3atWzZMhsbG3d393oGA41Gn795U1dPT2VhChE7JdAaACABgNhmnfeKOZBMgTX4h04cXb142UBndzsHh8qKCgtLy6PnT3eXYRgAMHJ0WH1t/fjQMVY2VjAM19XU7fjlF08f7yVz5j2Kv6uhS2VU0w09jN23eOddfO3j6qptQZNwJEAOIr+ZeKcsnlRNJGNJVByFgidDkGqTEF/M40r4AilfIBMJ5EK+nM+HBXyEK4J4UsCDAJaIaGlCWjoYmq+Gl52eta2pw5sM4CHAnuwwPWqyuaU5Do2tqKjYvn17ePgXyuiqliOkv7//+fPnra2tlYWVlZWdJJ8LauaeYLFYGRkZbDG/I0K3KxLpCZoyPX/DALE2eJpD97Sm6VDf8X5qpNNzMjM1tbQ8fXwIRGJFI7eKwQnxMsGxQGZTcbbgeZTtuI5A3u5QVVFZUlRsbGLSiaeB3lp3POtMC9IQqjU60jeqa0WJWJyXk9vYTHdwdXJ1HfRPaxVFeXnGpqZuXl4q4wIQmQxJTkEFBtAAkNfVAzQKbWzccw+7Qs3cE5WVlbm5uXga1cXdFY1G3X199yk7AQYyfw3/CK8IIr5bZhqpRJKfm9fc1KzM01BbU1OUX2hgaOjq7trDdNABPp+fm5ktFAo7eBoAAMUFhdVV1ZZWlr3yNCAI/CD7wRPmUxHg+5L9YgbEqOPuoOCQJwq1DqcVhfuaWxmoYMDsx9wTMpksOzs7t7yYi+Il4B5t9tlmpP1OFlCRTP53atPiMBV8MohMBqHRtH/JBuHHQJ9yT6iZp0YiFKUX5iS35jRCDAloRCAxGaJqYrRkHFlzeROWgKNaU0UYERdhoxECDjEzQEwGazr7uLiQNLqlWyjKL6iprrG0tnJ0dhJKxLeyWyJcDHIyM4kkkteAAcqJE5HaOvyD+5SFC9Xp6qeBmrknampqcnJyiAYGbl5efUo2pEB6wasiUboH7FVVUWluYe7k6qLOzncbm52TmY1CoTpWAblcXpCbT29o6OBpgGE4Jz8zKTVRjkc0zLWEkJAnF/BhngRI5EAsAWKF/QIBAPrHJ0JxYAyCxQA8FuDwKDwJRSCjSZpYKo2sY0DRM9Yy0af1kh+A096ek5lNI1DU4Wn4jI6QaikNtbW1v//++86dO5XXpAULFpw4ceJj9k1dfHjCKqlcikVjqRLa+fzKAXa67+fjxmALcypbw3xMcSxQya1MZD8cYzW+VwWiK17kP7/eeE0D0V7svsDMoCez1smXtTOGOWuS+vC8IQwGnJSEnjgRQBC1tExw/brGyhXqJDdSP2EVAIDOY915fecJ6wkCkOHUYZG+UV9ClI36eJLz+EHzYxHEHUIZOsl3EkaNi4ggyO3KawHaIy0p1m1kGYsrNtV9O6ofKWHV/id/NCI1O4J3oN/d6LpYdHaa1xICphsiaRjWbKCj++LT859B/yoNZZVl96sSyuFiGOJZ4W18TQfYGzjpkwxVEhQiCNIkaMxjZGYxMmvElXjExBJxCLf0t7Xv5dVLBksvFZ+d47Mai1b9pMPFxbqOjir/+izoU8Kq9zagtvMlz/MYE+0sIAi8FiTrEvS1Cf8Fv50vP2GVaqVh9+7df/zxh7KEzWajUKgONzexWNzU1ATDvRuAPwE+UGkoZReV05sm+PU+U6uP0ob2ghr2FEdLAECptAABsBHZpLdKbyEUCY6knCiX5wVpjJzkF91dscc1D62wDi7278M+1gE1nzP1lYZ7j2Mvcu+IgCCYGvx+6oIclqEgNARBUrn0btVNb30/c6oFAOB+dZwZxcJF1x0AkMx4gUJQg4yHAgAYfLoMligSz/QjEvNe3G68KwK8EO2RY30iIUjdE5FxUHdLskdZ+2lZvFm2P5LSIJfKvkv43gxntHzYcuV/hTKBtky/WxpsBJHt268zfRraoD+T+P0r0F9KQ0ll0ZXyewxUoTFkHm472svct08OXgIZ/zU97WnFE6a8VQ92m2g6wsW591WfKydpU/AqmUK+qNXy0ygNykgqqa6ll4339emPxj4zvnylQbUl3tbWlkQiRUREdDfji0Si69evf8yOfSJQJTR+g429kVoEw+rD3kTT3kRTMTM1lmoW1Lxe4uPKxbHVrE4kkNYErXxVnHKx/lLOo/xVvl/paqmY30MsQgEAOBZoxkl6Taj9yRBb9czV3HnqwBgstg+2c4lcgoZQaBSGw5RdqbgeYz/BmGzQJpQIW4I1Lc0IFKIcRvjMoRraugSKJgCgrcXTmEaiSmgAgIcltUI5x8WDBgAoYBcWCF6NshoLAUgMixFYrux03ScMdQsc6hZ4P+ve/db7Lx4nTrGc7Gun2s2qEyANqbmlVEJh4FjWje3Ca1nVS8JstPqyIaQm0FjMEqe5vxX/mlj0fKjTsA45EUMSYXjPEnhBQ0wIuC4WKwjCfL2m/Qtbaf4taGltPpl5oRbk2+Gcv/febkB9HwIMEoYcYB4cYB5cy6m5nH3+j4a95vU+M53HGpv2ZDfkC5oe5wqmBqhgiGIBQEl7hfP7t9I9fSD8HSzdzEwIJCyOBe433MESIV/DT+Fm9P8TqpWGoUOHLliw4Ouve6KzoFD6wI3TK27fvv3y5Us9Pb3MzMyNGzcqh0d+JNypvDmMFkowpQ0e1Iup6QMxyN7Ux9pYioGoLNrzhnQmVDLSUi0Pl4GOg90sPQ4nH9mW8f0k/ejh7qqpTDk41p20bDcbVw9L/X7t+Hvi6ML9ahqDO9AiZMbmPpvjFEMw1hRDktH46TRDDQkESAA31+RNsBMaBU0f/pYnY8IQSwCAQi2LDPTs+M5vM0B4QUSKDo4FMuiVGczkOc4TJSQhV8Kp59baaTv0NSNtmFf4CFnIhZRLZ2pO3K95vNhnvr52LzcMGkJ76fkAADiAxac0a5kl4nGWfTqo+rAytR3VMPZy/QUrfWsTnXeC+vTN69NrWwJsu339YgGAP3OWMGLE/09TRZ+BIBeSLiULE4xRFt977zDo7TZQB+ZUi/WBm8tbS8/nnP65eNegshHRQ8d0575DJaJg/DMAVNNKtmVm6nl5Qn13DvhvQJETWEIDhCZfLkdKpdE4OFYuM9NG056M7c+l6n9QvZGgr6/fs8YAAAgI6CX6QH3U19f//PPPu3fvXr9+/Zo1azZs2NBfLT9//jwwMJBEIpmYmKxcuZLNZrcymRtWfeNp67R84PLZ02amp6T017G6or2t7bvVq11NTS00yGMCAp7mPNPSssu6xwv3D7GgGfq5eh7YvUcsEtdUVS2eNc/ZzMbJ1HrBtFmV5RUdLRAJpHXBX0fSJlxrurrv2QGZ5E180fHfjwR4DbSgGQYP9P/7r4tBbqYycXGf+sbjcretX+9ubk4gEIYMGfLgwYP3O0eZTHbw4EEHBwccDufi4nLy5EkYhrNfZ8VETrAzMPO0cVy3fHVLc2eGDwCAHJY9rLkj5kipEhoeZx7uMo1irAkA0CTjbIyoqL476zXS6cvnzp0yyGlVqOvksLCMmiwbG1PWK+aQYd6WNMMw39D9u6/K27FUCY0n5WY1Z0jkKvaoS4qKZ0+e5mhs6Wpht3z+4oa6eqFAuP/nPUeW7L8z+faNdReX/Dn/bOI5uVymTpfKSkrXz1mzPmStqYHp1KlTq6ur+3pSCjQ3Ny9cuNDQ0JBCoYSEhKSnp8MwfOncX8ED/S1ohr8u+ZFzV/Rb+m8i6TvBn876DkRMe88ti6Mns/m89+vVhyM5OTkoKIhMJhsbGy9dupTJZH6ungAA0tLSRowYQaFQjIyMFi9e3NLS0t7WtnX9tz4OrtZ6xuFBI+bun58uTJtjOW/TiE29agzqPAIdsNWx3xa8c5L5uDT5g++f7a6rq1XIH967P2Z4iKWO0SAXr19+3AEk0ETnGBwLiKXyro1gli75f6UxwDD818mT/q6uhjjcQAeHowcOyGQyAMAQJ4NR3qYSGiBQaDUVmplljYryUrm0x/bURVpyyqTRkTb6Jt72Lpu+Wd/GZrNZrG/XrPOyc7Y1MJ0UHpmemoYgyLVLV0YMCrCgGfp7DDhy4LC0G4tYRtqrSeGRtgamXnbOG1evZbW2slisFStWmJiYkEikYcOGvXz5sl+63Y9QrTQwmczyHlFQUNDJ6eFD0NDQUFpaymazAQBCobAT7d174+nTp1OnTl2zZk1NTU1iYqJUKh05cuT40WM08dqPX6VnVVUt/GrpzPHjP5LeIJVKo0ePFgoEd1++zK2t/eqbbxbPmHHut+/vnT7w04G9RQzGzM0/PU54smTO/HGhY3x8BySkJz/PSBkSGDBh1JiGunc4IkO9Q79139QsY258vqmivnzrhk0P78UfOXsyt7J496F9p48ev/D7ORcTVxGPlVbS0i7o3V4rl8unRUY2NzXFPntWX1+/adOmhQsXxsbGvsdprl279vr165cuXWpqajpx4sSRI0eWLl06e3LMlBnTkvMy7z1/oqWtPWn0WIFA0Kki3E6prXVGqNoSGtDXJFgbqgg6UB9cDiciMNDY1PRZZubr8vKJU6dODgv7dvnSx7eu/HnuXHFT04nLF5qzM/cf/kVCA0IZLT0XLefgqRKaSC6q59YqPHuqKiqjx0SFjgl7kfXqSepLeyfHcaHh86fNLCspvXDralZ54YE9v9ecr4m9f3390/XZFb340NRUV08aPTY4NORFZlpeXp6np+fQoUObm5v7emp8Pn/48OHa2trp6ekVFRXz5s2LiIj4bs26cydO/Xp4f25l8R+nT/CKWTmncw4lHlKuCAHIVdcTtMCvy7tfjEkklKMjCwA5gyH/tAx0ycnJEyZMWLZsWVVVVUpKCg6HCwkJEX0mJom0tLTIyMiFCxdWVlampaVRKJThw4dPjZokFolvPry77eIO/Ah88v6nkSDC125Qr63lZGar8wgoAwJQoP2IX4bv0SFidpf8EpsUf/PKtW0bNq3fsimzNP/CratVFZWLZ81DEISDY91NqK5q4nZt5BOxsnwZ2LN9++kjR/YfP17c1HTi0qW7N29u7vKiOynYd5CbF4FCo0pocXmJxXXVH3jQlMSkJbPmzV2yMK0gJ/ZxPABgSsT4yeFRWCwm7smD1PzsOQvnL5oxZ9M3G44cPLxr3685FUUnLpx9/vTZt2vWdW0tPTVtwbRZcxbOT83PjnvyAIfDRkeMDwkJgWE4KSmpurp65cqVU6ZMSUhI+MBu9zMQVdi2bdt7130PSKXSgIAAMzOzQ4cObdiwQSAQ9Kl6YmKil5dXV7mTk1NcXFzHTxiGbWxtTGwtmDDSirz5HL90yXPAgI6f/fg5ePLk0KAgJgx3SM7fuoVCoV6VlCh+Nsrk2Y1sDQ3q5InTrpfGVrY1NHBbG7itX3+7fmJMtOK78qe2rWlL3O7gAyGaNM3ihqoO+euSfA0NjZzKkgZu69Oa1D9e3Om1b8cvXRowaFCLXN76z+A8f/7c1NQUhuHuBtnX1zcoKKiTsLi4WE9Pj8VidUjodDoGg/nhlx3KPY+cOH7D95sV3+OrHj0rTu330V63dWvM7NnKks07d2IwmJLm5g5JaUuLNo32uqJCuVhOS/vWuOtFNfQGbuvosWO2bP9BuecjR4+i6dBqWI0dkodJCVraWltv/xx1c/z629+XM+u6XinFZ+yEcRu3bVF8VwzOmjVrvvrqqx7uZCwWe8dFfq4AACAASURBVP369U7Cn3/+efLkycqSgwcPotHozNKCjmMV1VfSdGghB8bsfXK4a0/2PL5Dl0h6GUOBoOnIUUQu76F7/QsfH5+///5bWTJ27Nh9+/Z91INeu3YNi8V2lfv5+V24cEFZ4u3tbWltVcGsX3ZrzYQbMddS485fu2xta9Pd5Vb+DBw8aP+R37t7BHr9XMq6Nu7aRIIGKe7x/Q5hDbvJydXlzJULDdzWhLqkqzl3VV7HpgMH5c0tH3UMe0VQUJCvr6+ahVWeRUt6etP+A4rvzIqKpus3mO/ewEUMhgaVWkind0gq2Wxdff3kgoLu7vBcJi+1ob0VQbityJ/JV+LzkhQDm91cVNlOV/PSOLo4n7x0Xlli52Dv6OykLNl/5DAKhUrKy6huezNv5NUXGxgbxr942qk1N0/3o+dOKUucXJwdHR2Vx+fWrVsuLi5dx83LyysxMbEfrlbfodqnITAwcMyYMStXruzBEfLXX399b02lEzAYzG+//bZp06Y9e/bgcLiwsLDhw4erPOjkyZO7vou0tbUxGJ2zEgiFwpKSkrCwt4xpEASRKZpYCKO88x06ZszSmTOVyYY7AWlrAygUpIjoffoU0tFFeahFq5KTmRkyerSyT7WJqSmCIPqGbzY2sWiUmYEWjoDXMNDOLdehSdvtzQkAgJCwUasWLe3aIBqNWTJ8PvNVXbFD0cnXp1YMW64ItDM0NnJwdirMyw8MHu5AsyNj8TgWkPTo5JabmTkiLEz5lAMDAzkcTlNTk6FhHyy1WVlZgwcPVg4pNjIyQhCkE0/LiFGhD+7cVXyvLNF3d+p/etTczMzomTOVJfoGBgCClHuio6vrPXBgXlaWpRK/iKkudVnYODQaQkFQ9usch0leXAlHA/cm5lZTSwuPxyvbmF3c3QhE4kiz4HDKyD/zTn774rsZ5lMHOKhwkMzLzln1bpKbMWPGbN68ua+nlpmZ2YnmxdjYGEEQA6O3V4qqqek3ZLAbz/MF56lhocEw53fcX4a7WtbUFdhb9+gnRCRiFi9SvKpqsdmo3sLEPxAwDGdnZ3c6rzFjxih4sj89srKyOnVGU1OTJ+JvfrEJB6hbvbbq6RrIHeW11TV8Pr+7nLQdyMvJsfDbUs2psKS+8cJRfgR6RaBtEFlIeoC+d5kTa8AwMjEyBQBgMJjhI4Jzs3JGjg6z03I01VDNQ4qZNxfhqtiE+PIhvxdPrK2lLFkMAAADBoABb3jlEWNjmUSCgSAIgNbKSjgzCxUVWZCb6+LubqCUhk1TS8vP3z8nM9PBWbVXu4nOm6smoYEBVmF8kZRAoeFYIK44i4BrmGg3goNjZTa94kk5gaYhAIBWIVMg45tpWAAApHIpR9qmgaKWFBYNCxlezCqwpFoRMCQ5Ipfj5HjcGy6f2+VxxpCtjYEjDMPZrfSU5vrFnlEAgBRGpa69TWlG2VCXoFxm8TN6wkLHOWIityCvAO0M8aW8Dq8LClUDedf2FB4ePmHCBJFIRCC8wxjEYDBWr16t1YXvjkgkXrlypVPh/oVqpcHPz2/RokWhoaE91ORwOP3Viezs7J9++ik+Ph5BkI0bN4aFhTU0NOjo6HQqhsfjFy1a1FVpKCkpuXDhQichFotFo9F8Pl85GwIWDZFJ77j087hcApGoQmMQiQCBQAOAd/UafshgrIsLAEBmbQ2h3lBVCG7e4kul6OjJ3Z0UkUjkvjtEKDQaQRDcu3x8EAAoCKwc/SZyhkdvSyh/RCR1E2EPgJe9d+azDLqscdOTzd/4fa1H1QcA8Hg8EvlNjICphjkHsFhl6DtVVYtCVa8ThC59E4vFEomEROpboAGRSOR2maEgqHOYOp/HFaIEBBEF6OJiRn0Un/2uZwTDcNcoOB6XS+oy43eQJ5I1KKb4IVQNMw0uulRawJW2IwgC3m0EhmEBX0AikQwNjXYY/ng55e/TdSeS6OlL/Bd0zB1vu/Tu4HA4nF7Xm64gEomdnjVEVc4XHo9nb+VgqWF7lX7ZVNvMxsiu4y9DshEgg7YaUTNGbG+iCXpD64uXGhoUQrBqx9t+AQqFIhAIXC5X2Z+ay+W+x/j0CxSdUZ6C27jsJmGTGcp++bAFaAwGACAUCgEE4bvxG5DC8PXi224Ul8GGfgQC6UU2f9xIJwKFBiPI/rgbFSWvO55QdWCqa4GWY/TR1F/yd8/nzPNw8AQA8Hg8Hb03syIRTeRymHez2mOGvZNFD1Ao7RT1gva+AEiLi2Xx9/XXrAYAgHDVmWUgAgH7DwuFjrW1VCLByOVvnncYBkpTN0/t+6fDGCqhgYiBwzhCqUQLEAAN3eAt44kVMVkF9Na0hqaVAz1RKKiQWXOnPGO2SwQWi+U2yp5XtVPssM76NAkNyGQkBIsnUGgAADuNCDIBw2h+BUHQuMGjIQiSYAEAIIg24ARVB69PltCACdFmMEZPRsOScXp4PL6uyATR0aZSNYQy/nXGBalcin2XbpLH42EwGGwX31hNTc2oqKiuNM1UKhX/kSlfVb9ek0ikyMjInmsi75tTuysuX74cHh6uGJpdu3ZhsViVpk0IgsaOHTu5C4KCgojEzqssBoMJDw/ft29fh6Stra2urq62ulrA53cI/9i7d3SXM5UdOkwpLlY8eJSFCxQaAwAAY2mJ/oeskDR+nF70ZBoANACIt+Pkly53aiQsMvLvc+fa2G/DLB/GxZEplLs3b3ZIqsrLhQJBfk5OB+NFGw5z61ji6FAVdJAKDBo6pLy4bJr2JE1I98e077MrXz9/8qy9rc3d00O5GNVARNFLkTar9nEbFRFx4/JlppJ9/ffffx88eDC1G6LM7hAQEFBQUJCent4hefLkCQ6HS32Z3CERCUWnjh3XcRwI6/SZ50p9jI6KOvXHH2KxuEOSmpiIwWBSld5cXyUnV5aXDxwypLtGxoyLSrp5Fo9FS2hAJDG5m9pQXljKbefQ698a+y+fv2BpbWlobAQAgAA0dXDMetfvGDL6xucbs8tfK7c2aszoE78f6fgpl8sPHDgQFdXtle0OUVFRR48eVbaIP3v2DI3DPHnyqEOSk5ldlF8wyH9wlF+kF2bogfy9zW2d994IOoIXhS/UeWzRUZGC4GAWAACGgVyFz12/IDIyUvnx5PF4x44de4/x6RdERUUpd0YgENTX1MNseI5PDPqflEjHD/8ZFDKiU2hDA682n5lNldAAVnOIyUQvx4ESGggfF8V9/cLVxAoAgIKgZSPDs++nREyMJlBox54lXs/t3enYwMjQ1t7WsMZgEHXAsbo/nuY8YzTQ78fdCQ4d2VEGi0JJyU95EhXPODM/H27vxQf2SwCKRtNbpmJXtQdgHR0hAmGEr29bU1PiwoXgn5kzOyOjIDd3cGBgX/tAxGMM/kkM6+egHz7ATEIDEhrw8bBbFh4m04UkNGBrb7E6fLq2heaosWPPXz6xamyEraOBhAa4HI6Y3dLa2MDjcgEAXjY69iaazx49IpJIzx/ex2PfLP9F+fnpycmBwcEAAA0i1tNaRxEIPToykp33WNdSQ0IDEk18S+UARk1jXV1du9K127t3b0RERFeqXxKJFBQU1HU1HDVq1MfOCdU7I2R7e/vVq1c7CcVi8bFjx3JycvqlE0ePHi0qKtq/fz8AoLKycsmSJQ8fPlS/enfkTo2Njf7+/i4uLiNGjGCxWKdPn54+fXorn//wzp2pc+ZoUKlPHzyora6+l5hIU+xq/LO78CFovn4D0tZGBwcBAHZu2XLpzJlpc+fq6Oo+f/KkKC9vz5EjS2fNCgoNHeDnV11ZeeX8+U07dty9ebO5qWlcdDQEQbevXaNoaFy9f5/MxWa3ZolxXCedznzAd2PjNq76ZtzkCSx0W1Zpeusr5pnLFwcPVc3yQZXQHtQzhrsZdbqR9u3ceeL336fOmWNlaJiQkJCenv7ixQvL7rMnd0fuFBsbu2DBgilTpjg5OeXm5t64ceP06dPrNqzXM9AfETqSz+dfv3DVL2j4j/sP0zQ+rv67bPbs12lpU2bOJBCJD+7c4bS1rd2yZc2iRZGTJjm5uhYXFMRevfrHuXMho7tNlSkWiaKCg1EoVPi4cTKp9NrFi7YODgEDAnf99kPo5FHudl6vUlJTEpOu3o21tbdTrogg8IXkiymC5z64IXMCZqFQaACARCyOiZwok8lGR44ho/GXLl2ytLS8efNmD2xX3ZE7LV269NGjR7Nnz6ZQKPHx8XQ6fdiUJRf3fT8mKsLZzbW8tDT22s1fD+8PiwhX9GbX471s0PjTsJ86bX408OpxYoKZhbqOxgiXK9uzT2/5MpSurppV1Edra6u/v7+1tXVoaGh7e/uZM2fGjRunvHJ/DHRH7sRisYYOHWpubj5q1Cgul3v27NnRo0ejibhrl69ET59K09F5+ex5SWFR7ON4fcO3jCkwjPz5OD06YIiZ3jvadntb25iAAAMjo5DRo/k83uVz5wKDg/cePapcBtWCxDXd9jCw1yWqptiqKCufFB45yH8I1YKaVpXcmNC0duPGBcveSbPHl/LQApyWSWeTItLcQnzyhDQ1BnwO9Inc6b3x7Nmz6Ojo8ePHe3h4ZL98eePRowMnT4aPG/dRD8psbg7z97dzcBg+cmQbm33x9OnxU6bIZLK7N29OnTOHqqn57OHDqoqKnfv3fzV79qixYz28vSvKyq5duPDzoUMTYjpfjlYmc7S/v5WNTVBoKKe9/dKZM+HjxlFxuMuXL8+dO1dbW/vRo0fFxcVJSUkGXXjYvjhGSGWIxWIajabS9be/NhvkcvmGDRvweLy5uXlLS8uyZctotD6s3T0wQgqFwhMnTmRkZGhra0+cODEgIIAFwIsnT+7FxnI5HB8/v+nz5ik2c+CkJEJ+AWXxon44mQY62tyMBQBSV59WXRV34wartdVrwICZCxYQSSRWa+vZo0eLCwpMzMyiZ850dHFBECT26tUXT54gCDI0KGj8lCmKdSW5qInRXDnGR0WesJqqqsvnLtTV1mE1cdxBPA8D7+WBy7tTMOPynjqY+bibWnWSv05Lu3XlCqe52dvbe+HChT0Tb/TACFlZWXnq1Kmqqio7O7uFCxeamJjUsBov/3XxZVKCAIi+mr82qEc7l0ogra1wSgoqIADS1AQ8nuxWLDowEFJs8zCZiJYWhFFhWXt0796ju3eFQqGfv3/M7NkYDKa+tvb8iRPVFRWWNjYzFyww7S3brFwuv3bhQvKLF1gsNnjUKMUcdPHmk3tXzhNgvrOby4y5s6maqnf4S2oLj5WcwgHiCvclxgYmAAAYhm9euZaamKxBIIWGho4fP77nl4AeGCEfPnwYFxfH4/EGDRo0d+7cegmorKp5+teFoqp8c0uLmFnTLZQUPqlEsu35LgyEbA3ejO6SSg1up6QymcEefcg/8pG2u0Ui0alTp169eqXYaw3+mAYRBXpghBSLxadPn05LS9PQ0IiMjAwJCaHzWGnJKfG377BZLHcvr2mzZyrshghA0htTRtDGSGndXk2JRHLx9OmM1FQyhRI2dqzKR+BhdrUOmuNi1S1JBpfD+ev02cK8AjlezvFoC3MZN8NfRVrdkjLYwUW7K4vX5zJSfBqlAQBAp9OPHTtWVlZmaWIyw9nFYM7sj31EAIBIKPzr5MnM9HQtbe0x48f7DxsGAEh89uzurVuc9nbvgQNnzJuHJxBamprOHjtWVlxsamExbc4cm25CAsUi0V+nTmW+ekXV1AyPigoIDqYB8Pz585s3b7LZbF9f3/nz53fdRwdfuNIAABg9evSePXvs7OwUU15hYeHx48e3bNmir/9FsAn1iUa6u6ikj/GAiRKeI1yOcGy3CZ3VBI4F7jFvDDL0V0lM1Mxs/DVrPw7CfDtkHYWkYj2TyqVMUbMD1q0FL6GScJ2WrX6nkQb/8O8Wl4ua5PAoH3WJg5C8POzDRxorV0BYLMLnyyoqMU6OEBYLEEReV4/S1YFIJAAA/68LWHt73EBfFgCyU6chfT10RISah/hA4FjgdtMVf+Nh3aUUkUnEh5OOlMuKo2gTRvq83UlWkxpWfRrpjts4Ie8elUp21nHrVEDE529L/pmMwm8O3tRVU7lZGj/SIUyX3NltqAfAL14Sysoo8+epX+ULRL/QSFew6l4VM+eGjuivXjVV8h6yLobbhPVAQ5RXlX204g8/YuBM/xmd/mrksdIb6ib7BHWt9Vn0hk+mNKhE84mTKBdn1OB/KyOkmpfsMyoNatHp79ixw9nZGYvFYjAYDAbj7u4eHR39888/f+zOfQIgHA784uVHerQIw4cRx45V+D3ITp2Wp6S+XztCLSSvTK+moU3lv/q6hluGfAch2G1JPzWxGrsWwKKxRmQTDo5VW1V/ITH7/frQJ7QIm6kSmqence8aA48n++NPbaGQBoCOmxv1m68hLBYAAJHJWHc3xXcAQWhzM+gfJ03yjOm4gb4AABoA+vPm6kVEKEaYdP8B8Vas4lLC6enyx4/7/bxEWkhplXEjQ7XjOgAAg8OvDlo1Xn9iLPv6vqeHJVK1FqcPAQS8eHSLrnICmbzeZyVb3r7v+R4EdH4xCLcNbuPUAQBgWN3NQlRggGT+vP9XTAAqQZXQqETbGcEqVuj3Bs2CpIMajhP15MTnZuW5zHZlmjDxXNL5Tn8ZUmh6VBUREwiHw/n1t37s578C+gvm05yc3kzpSk5O/0N/QS2lwdvbu5PExsbm/PnO9+6/EfInT2m9ZUzuF+jPm6vr4624lZGysj7VRaOgNWMCXJwcqBIaW8TqSm1GJVN/HLHZAmP90+ttndzxlGFqhv8/9s4zromsi8N30gslhBa6IB3pTekgKvaua++uZde2u/aur7v2rqvY3VXXLqJgQxFBEAUUkCYgvYWeQuq8H6IxUhOkWO7z4wNzc+/MmclkcnLvOeevpPaa0MkP/qcFkW/fl7We8ymFxuerjxqJNDf/piikoAHkEcMBAHQA1O3s1Hr0kDgTSi/iBdt3AMmMGpuNFhe3+xAYDLJokJeZZQ8VPr2yoUKMNi/Y1tc+cLXD2lJRwZona4rLCtp9OHnwtdXxdDdS4dOZDRWNnAM6XXO5w9ICQfG+J3savUTEEPWVDRtYVUduJpZUt+gDNUsVAGV/becnJnaA9d8UxayCp9mRfDow0KRKM246BDwWM8jJXFlHnaRETy5Pr+CWNdvNukevX8wWxXGj/41unCzWW8cLx0Rr2Z85qYiKimBE9wSWdi8YGg0AQAcAH3xCHNc9Ex7fMW3f+mKxmCVDfX19YWHh9u3bOzB7orugA6A1cgSmSW5nJyEp8koHgJKerpTUnl/8fDp4Wyq8lBjW9CUMBvur/wIXUp8TucefpT5tdjgZSw7qMbSOUIWvBH9fSylkspvt9oUI6y1N9dsQ3hRFRCi9iKcDgKHTsYpUhpAThEjEmZpK/ie4uWqvWE5HEDoAqvX1xPB7avUsAABaUiI8dx5tV5A5nw6Siri334W31EFXQ/9/ff9nSDDc9mZbxOvH7TsLOcFiED4dMEvRx/mNF48YWrq/9/otT1B0MPJA0/kGAECAuyApL1TRI+JXrmA5fpG26rfI+xyyCqnTZ4N5DUYx6dktvWppZL3YfMlzzrN/msw31BGrztyLbfRURszMfuTJIeVfFmq4u9EBoItEwn370fbWcYfI0nydBlmqq6s1NTWbugiLFi3qHJO6BA5HFB0N+vVru2cnQB46FABABwBtaCjfsRM3YwYin2JQ/PPnj69cKSwqBfY1o2ePoVAoNdXV/5w+m56apqOrO/qnsdO9pxknG10sOZ9XWzDJo5mYKQn1xCpti5f8OgzQ6MhZlurq6uDg4NevX2vo64+eOLGXvX1LPVUoVMkSQ1Py8vJOnDiRk5Njamo6Z84cff2O1FLCMhhKM2cAycIhgyH09cXi8QgA4vp6ZvAJ7JgxiOEnzadH4eH3QkO5HI5rnz4Tpk9vlCo9yM4hp6ynCl85Pjvm2sXLxUVFFtZWk2dMVaPTuRzuhbPn3yQmqtHpNrbW15BL7EtlJupmISEh0khGAoFQXFwcHBycmZlpbGw8c+ZME5mSU+2gZ8+e+a+bmbDR09H7HV284+2ufU/29Cg3inn6DIPB+AT4DRo+FEEQfpHw+aXoa39ephlYLFy00NiwDc1GXkPDPydPvnrxQhIF1qdHD/yJk698vG+FhtbW1rq5uc2cOVP+wjI8Hu/kyZNdGQgpDyiKXr9+/f79+ywet4+354ixozEYjAqf7u1Ow2M7coKhWbys9QDQAwA0sKoqqiuunrv0NjlVm8EYMXZUL3s7AIC5oeWshtkn8o6pJCgPc/qULIBBEBd7TkpFgq3WZxPDhfn5u1atzgNoz549Z8+ebdhWLHDXUF9fHxwcnJiYqK2tPW7cODe3TtbnxGI1F8wHfD4CQJVQKPz3QrQSNSwyUjYcvqyk5Fxw8LuMDIMePSbNmGH88VeHvPB4wkv/YdzdMJaWAADh/gMYZyeMlxcAQPjvBYy6OiZoQGecWdfT9mdAXV3dwcFh06ZNFy5cuHjx4sWLF69duxYXFyfJkPxGEcXGqjt0/08lhETSXrOarsOgAwC43NZ/9e7cvHnuxIma2trevl4J6Qn+rp4bTq/1c+lTmF/o7tGbQqVMGDHm/KkzvrZ+0/VnxXCigqNOtrK3gT2G6WoxOnCp4u3btzY2NtnZ2d7e3lQlpfGDBp1sok6CVlUBkYgOALF38xrTd+7ccXNzEwgEvr6+bDbbycnpwYMHzfbsABAEZ2QoCZXAKCtrLfqVrqtDB0CNxRKeOr14ypT1v//ew8TE3snpXmhoXxeXRsWjEAT0ZCifunFy/JBRTGG5u0fv4sIif1ePyEeP/V09kl4lOLm6aGprnfvztNYTjeiw2MWLFxsbGzs7O4eHhzs5OYWGhjo6OtbW1vr6+orF4j59+tyQKeDRDpTJ+GG9jUhK9IpKZj3/M1P1dY2Wmi06u+rUX/v+Z2ljZWZp8feBw9PGTvzn9NkJw0eTyCR3j94c5nt/R+uUVpOomeXlXnZ2z6OinN3cdPT0Fs+evfnw4dWs+jkLFxoYGLi6uj558sTe3l5O3anKykp7e/snT564uroaGBjMmzdv6dKl7Tv3hojHzLz89o1thEgkGjZs2K5du6ytrS1trC+cPT88KOjB2wd8OpDLY+BwhPsPSNcfhfsPiGLj2mdJdGKOl4NbWnqqa283ZRXlaeMmnjjyIWnT0dx5luHce1V37r25KzvEWdvNjNJDtuVReHhfF5d6Pt/b1q6hocHFxSUsrJl5yi4mJyfH2to6JSXFw8NDXV19zJgx27dv7+yDIgQCoqQEAKDjcJseR6xascLCyMjJ1fVJcLCvpeX9O3d8HBxqKisllR6CPD1Drl5tdj9oQaHwn38BhwMAUC2vwB86rFpWRgeATiBojBiuYWYmWRXVWrxIw8vrw/+TJqoH+Ev+F129Krx2vbNPtnORp9b0kSNHWlEl6HZa0p5oFkkd8q8QUW1t7V/bmWXlzRZOD4+J0dXXz6yokLas+/NPIoWyZ/9xad3y5ykJ6hoaz5Lii+or47ISx1+ftvDm7/k1pa2UUpfKIrRJs9oTsjg6Op48eVLyfyWKJr1/r6GlFZuWJjWYWVtbvWIVKhC0tIeamhptbe2YmBhpS2RkpI6ODovFktPIjuLSyZO2NjZcLpfJ51ey2ZUoOnP+/Klz5jR6UxJycjQ0Ne8lpKy6ESK5mIdPHadSqcvXrZZe3tT8d3QN9R49erDZbOn+Fy5cSKFQHjx4IG15+fKlpqYmDodrqj3RLK2oSMSXMQ9GXWv0Lv++ZqVPoP/4a9Pm31qSV1NaUFvh4u5GpVJj3ryU9tl8+H8WFlYlfGEOi9fsnoeNGbN09Wrp5vvaWm0dHYaubl5dXSWKll2/wb52fcWKFePHj5fnFCZMmPDHH39IN+vr683MzO7cuSP3u/SJ8suX5byPW9KekLJ3796AgACRSISiqOSyePgPGPPz0taVO8pDQirS0ls/dNnhIxVPn8ovp+Lo6rr1wOH6yg9mvExP1tTSjHgRLX2/Tj25MPzGyNtJ4Y3e68tPCzJquZUoml9fr8Vg3ImKkj70nj17xmAw6urq5Lta7aRN7QkfH599+/ZJN0tLS3V0dF69etWpVkkJCQmxsLD49FQRiRb/8guFQgkLC2OdPccJDUVRNDExUUNVNffQIUmXhmfPanftlvwvZrM7RN2jEkUrUlIqZcSJFPpu6kbtCblm2+bPn48gSFVV1du3b6W1C79RxC/iv84aqxgVFZUVy9W1NOkAiNPTRbdvy756LzR03OTJ6jI1dgYOG8bjcMbMnKDCpzO5ZQAAQyMj//59Hz94BADQZxiudllZLa7a9niHRFC7UykoKHj//v306dOlLQZGRgOGDHko87NGXUWF9tc20Fx9BQnR0dFmZmZ9ZHKlfHx8DAwMnnemfHmz3I6IWPDLLyQSSa2hAXfkKGAyFyxbdreJCmjEvXt+/fq5ONr8PmKopI7soGFD2Gx2YNCnpHyamhqDwTAxMZEt0e3n58fj8QIDA6Utzs7ODg4OaEfECZloqVswfFQ+j0S9fzds0bKlGzzW1wu56yLWc/gsa1sbMoViZPypesesqfOqqpnpKa8uPH5Wy218z6Aoei80dIGMkKCyioqBoaGBkZGSsjIAADdyBHfI4JnLloWEhMhzIiEhIctk9qakpNQ+qdUqALBjW6zmrighISGLFy+WFuBS4dN/X7syI661qBS6SEQzNdWwbKaeiixaC+ZreHt/CIV+k9x657KSkncZGXMX/MynAyyJ9jj/GZ1BHzBk8KN7n6reDXAeEEgdeir3RG7ZO9mxNlbC25kXAAAvYmIMe/To7eUlaUfZbM8+fUxMTKKjo1s/eqdSU1MTHx+/YMECaYu2tvb48eNvf/7E6zxCQkJ+/vnnTwWnMZi+/fs3NDQEBQVRp04hDx4MLwcSdAAAIABJREFUAHBwcHD18Ij7+Lwlenqq/PbhXkUoFIxmB9Q6owOgwuZQHj368l11MXI5DTweb/bs2erq6jY2Ntra2ps3b5Yol39ziIqLKd9CLIyGpSWtZ0+6jH/GYbOpnxdfEolECILweDw+HdyMT3td/gYAoKyszOV+KMOloaa11XeLEBWtidxQW18NOhMOh0OlUhvVOlRWUeFyOAAANDOLLkc1Yg6Ho6zcWCBbWVm5dU3hzoDD4UhKXWGUlVV+/42uoWGgosJlscDnlnA5HCUZg+tQ7JmkUwiCiBudbJMKQBgMpunXatNzbzfOphp8Oihnlr+vzfloKpdCpaoq0TZ5rSUAysaojQ18LmgSGqmkrCxsaOjvopGTHw8AEMsYKRQK+Txeo5uw0XiEQFBWUeHxeCXb/hRmtxjNBwAQi8UNDQ2N6ompqKhwuQqkcogrmMyXL+XvLw/St54v4l/NusinAzqd1vwdyGaL7tyhAwCwWLyVlfyHoANALStVarWuDIfDIVMokuLBWCxSUW6YX1qmrKzM5Xx2fUb1Ge6C89ubvLu05lNOEI2k4mfgBprcn1U5OaxTp7vlAyULh8MhEAiNIoQUfeu/0IBGNx6CICiKNvo93AUXiuDmSgoMpAMAeDyxfHWGvgbkchq2bdt26tSp+fPnh4aGnjhxorS0dNq0aR3yq6iLwerqUlqWmPqqwFtbAwyGDgDlwQPh2XP2Tk6PwsNlb+uSwkIEQcpLSwEAs/oOM1Rz5/N4UY8j7Rw+iVQRCaS1vsspiMqW2P9VVDefx9UhGBsbs9ls2bLifD7/8f379s7OoJ6FDwkBTWqnN8XR0fHFixeVlZXSlvLy8levXjl2eaC+o6Pj3bufrRaHhoY629sTL39WT93eySny0SPeR50UDaqKsMQOQZCSkk/VMlAUZdWzGilOFRcXIwhSLJP8WVtbGx0d3bFF4yl0oydvPsiL2DrYR9x/AAAgUSjrA1bpYHrE5MRwGxr4MonsWRmZzPKKnmZmekr6VnrWDayqmLjikBcflufxeLy1re3Dzy9LfV1do1CPe6GhveztSWtW1xo1Uz1CCgaDcXBwaHSR79y54+zsLP8JVj55jGlB0rDdSN96Np/HznMHANwPDXVozirq69d013aG75H69SM4OdEBoFVWipr7rWlgZCQUCN4kJAAAMAgy1c/Bqqdt1MNIO8fGwcXTfH/SRS33vNzDE37S69Gh6lZXVajomia9fMmsqJA0Ira2xYF94+Pjm6bQdyUMBoNKpcrOdohEorCwsC6zqumnu6ioCIPByH4e6+rqoqKiFLobvwQ6gUDJeoeWNlNl52tEnjUMExMT2dVHFEXPnTv333//dexKSbtRKKbhW0QsEAgEgt5eXuOmTIlMSsooL/83JERXX//nxYtNzMz+uXkzo6zs+du3g0aM8Bro866msGngwoY720dd/+lx6rPOi2k4e/Zsz549b9y4UVZWFpuWNmTUqIHDhzMVDIX5/fff+/Tp8/jxYyaTGRsb6+7uvmbNGoX20CHU19ebm5svW7YsPT29tLT0/PnzWlpaCQkJklcrUbRSIJAsQI4YN67foEH3Y2OzmMxbERFmlpZzFy3S1mEcCD6SmPU2JvnVxGlTHF2cLS0tFy9enJaWVlpa+u+//2ppaf38889OTk7379+vqKhISEjw8/P75Zdf8Hj8l8c0yP4lM9l1TLSovjIuNUlTS3Pd1k2xqYkJmanrtm5SoasyXHXsPBxDH99Pycu6HHqzp5npjoN7Ze+N3JqS/QmHikqrJXu7HRmpxWAcPnMmtagoMTd31sKFtg4ONvb2M+bNi0lNzSgrO3X5suwieiWKVrx/X7NuvZjPb3oKkor6p06dKiwsfP/+/aJFi+zt7blcrpzvUdOTlYc2YxpKSkp0dXW3bNmSkpYZ+y5vx6FDmtraibm57Vt4loeGJ5HM2tqmp3Ps33+NjI3PXruWXloal54uudN2Prh1L/dRo4/w+6qSmdeWzb65ML+uXLZ9452ri1Ysd3Z3vxURkVlR8fDFC9c+fRavWNGh5jdDmzEN165dMzQ0/O+//0pKSrKysiZPnty3b19JHEkXwOFwevXq9csvv7x9+7asrOzixYva2trz5893cHC4d+9eeXl5YmJiQEDAvHnzusae9tGNMQ1yOQ1kMjkqKkq2RSgUenh4dI5JCvPdOw0SampqfgkI0NXSIpJIbh4e1x88qETRM1ev2jk54fF4I2PjlZs2nYh5czzqXrMBj2tD/zfy+tjwN086yWlAUfTGjRsuLi4SY/5Yv76gsFBcV6/QOQqFwkOHDllYWODxeCsrq2PHjnXZo6QRJSUlM2fO1NLSUlJS6tevX3x8vOyrNes3MAsKKlG0mMtdvWVLDxMTPB5v5+h46vLlShQ9czvEwM6ISCIydHXmLJyXVphTVlY2Z84cbW1tKpXat2/fuLg4kUh08uRJGxsbPB5vbm6+b98+gUAgv9NQeuhwxZNIOV2HlLycq5m3nibEBQ0ZpKyiokqjDR01Iib51cmH/1pNsKYx1HB4fC97u+PnT7cULVtYx9x2LfkNk3UnKsrT15dEJjN0dWctXPiusjKLyZw5f762jg6ZQvH087v77FmzNqAoKqquRj93IqOjo/38/CgUio6Ozrx58yoq5Iov49y8VZH0upOcBhRFc3Jyxo8fr6ampqKqOnD4cNlg3koUrUhL59wKke9oilH+PJZZVSV7rH9v3XJ0dSUQCIY9eixbs6aAxXpRXBv1NrvpG5SSlzXu+qy1YZtkGxPKUmPLU3YdPWpmaYnH480sLXceOVIuFNYdPIR2ZmB7m04DiqJhYWG9e/eW6A0tX768s2MzG1FeXv7zzz8zGAyJVuTz58/FYvHp06d79eqFx+PNzMz27NnDb87T/XroRqdBLu2JMWPGTJo0aeTIkdIWHo+nqakpO+malpZmpcjCXgeikPbEd0DraZICkZhai6lrLpnyTNTZ+Ibo6YazXS0+TavKKYugkPaE5NiCTZu1lv/RIdUevzrEYiAWV7Uc1HnrRVZ/azryMZyhw7UnAABoQwNCIgEAKq5cwfr5g5aDszg84aHbTxb2d8RiGi9/ZORl/J1xnIyQlrkv1lBpTUomszqtqLJ4oEP7V/fESa/F8fFac2a3ew8SmOnpklT4RshziRXSnmj2g6acmoq3sgItS5W2G3EFkxcTwx0+rM2ehCpQjStvJEWWnZe9L2tPf82+Q+0/u38QoqpUo1kCmpmlpqGOUUQUUCG6V3viB+Fr1544derU7du3ZdOvjx8/bmb2mTrw/v37O9g0SAvQAVDJyxPu3Qeay2TBYzF8OojOSqhsqGj00nTvaX7KgacLjj9NftIFdmpvWP99egwAAAwG4HB0AMQv4pt9fbibGVlJXYyKRWjbEaDtA/lYQ4nu6alcUd5KTwoRt2iYP0W5mcqnFkYWWz03UhCVjS/Wx2a0FlRvrmblb9q3gVWVn1538n5qOyKaMA72uDmzqwCoAoB78xZfES9fXFnJvnBRMrZZj6FroAOAt7HpDI8BAIDR1CAPH0YHAIhEaEFhKz35dHDp+etH+Z+VMOlp1HMqY3p4RdjznCjZ9iepKe/KPotnQszNajrNY4B898h197u7u1+5ckVXV1fjI0uWLElNTZVuKikpHftcLR7SqeCMjDSmTKa3HDenrNQrPr2ZyMexvccNVht5qeyf+wn3Os88VCj8QZ5JyiKRuOUEtmK28Hzquc62Aauri7e2pgOgxmYLDxxsVqSHRMAiCKhBuRfSGssWUKnKawNX+FIDz+efORb1t1jchpejpS/U0X+TmZMIPk+vUAhu0IA6CuXDjFRqqqi8eacH/RhRX1VW1tC9BfV4PNGZs11zKDoGQwwLa91v+MnX34kxqFGjay9XT/yACznnmexP19PNWPN5bjPVhCpzcgQZmR1iMOSHou0y0gAAOzs7ExMTNzc3bAsx8Dwe77///vtya1AUjYqKkuR2fvnevm8wGhoAADoAFY8eYQMCwOcOhJsZA5gxCFWg6TrFYOfB1GTylbKL3DjecPe250IVhfc0ilJbA75YEPybgNinN7HlBSMTLW3tvK67DgiVqj52DMLn1xCJzXbQUtIVVPs0CEQkfOMP8tg+YxzybY9lBK94tPpn65mmeq1VHQgwHAAAaGBVvUzhVOPqhroonsJAIkkmDKoAEGOxaOpbrJYWAIASfk9YkK80Zw4AgBn3Qhwbi1v0K0CQDs+SUBQ0P58e2GFa2G2AIEpz5yi1uhBJJeGoJGUAQFVNAQX3SR5zos/oooflu2J3bvHbJhFwJ2NJY3uNb+YgRkbVFy5qWZh3uPmQ7xu5nIZRo0Y5ODhYWLT2HPnyLPOUlJSdO3f+9NNP3bJO8+2iqqZW9/o1RibTUgqfDh6/inHuYa1CpDErmG8Sk8hksr2zo59tABlPPpN7MuNUWkAPTwcHB2lF+pycnDdv3ujp6Tk6OuJaXrNvBZylJVZL84tO6VuDDkBFWDh2QP9GE9cYDDLSvUsfylgdHYk9zLgXGHs78LkMBAZBfu5vDwBAmQ3lSIkqUVX2VTNDiz91t52IPr0nbadbjvdUzymYVufha2tq6kpfJle8dFGZr2NuXFLN1VFTeDWqtLj4TXa2iqqqA5dLIpM5QQPAxy9LjLsbxr2TJQnkRv3z1dhGoCj65s2b3NxcMzMz6Q+e0tLShIQEJSUlFxcXSWkvHo+XkJDAZDIdHBwMDAxa2aEEOgCc6zfYOBx2WIuu5z9xmT30yp2VnN8kviYSifbOjku8Z62P2rHj8bZBakPKS8utbW0MDA1Ly0vyqnG6JE5KUpK2jo6toyMej8dNmcxiseLj43k8nrOzs6bmj/WxhbQPub4Vxo9vxlHdu3evbK345cuXf4kdKSkpf/zxx5UrVxqV3YC0CcHJSRIC1+zvEhKxV0JWaWJo8LGDR8wszBsaGpjl5f/bs1Obof3qj/gI/oObypdryqrHjh27c+fOhQsXhoWF2dnZ5efnKykpnTt3zqE5X6R1fjSPQYKqDqPu9WvMV6P9qGZowL//gNvCl41QDXPxcehst3E4zGc1dvA4wnzfn9/kuJ3N/vePR8unmU62M27+Bjh/8vRfm/5nZGwEADi54sSqTeu07X2J6kh/G3mvAIqim1asOHv8uKWNTV1tbX1d3b7g4IABX52ojzgvT41IBC1rsebl5U2ZMiU7O9vMzCwtLc3R0fHMmTOHDh06dOiQtbU1i8WqrKz8+++/aTTajBkzcDicpqZmcnLyxIkTDxw40KZfThk1klRbW9Nyh7n+fvu3b1+8e35PM1M+n19WUrJl51+Byu4LF827LL5gamyempwSNHTQ5u1/rv9tTMazFFt7h5KiIhwef/Tcufc5OSsXLdJTUyOpqmZkZi5fvnzVqlXtvU6QHwW5nIa6urrjx4+/evWKyWRKsi1EItHr16/bLTDTCLFYPGPGjKNHj0KP4UsgXbzEcXTEfF7O1r9Xj/MnHt4NCX0SH8PQ1QEAJL1KmDJ6PIJg/ty3y8TJJO7V0wVDFk6ePNnHx8fa2lriLqAoevbs2ZEjRyYlJamqqrZwQMgnCA4OGm0ltnQlWB0d8rCh5BZMwmMJvsYT2RUkVe1mAiDsTBx3GNmeiT7/97uDpnm95rjOUKbSZDs8fvDo4O59tyPumZj2BAC8y8yaMHz0jkN6ZF0qvtKBJxSH5hb2c9QjE1t7vBzZsycuOjo+M1NDSwsA8Ozx41njx4fHxCisLtjJEENuY+fPa+lVoVA4duzYoUOHPn78GIvF8vn8VatW+fn5KSsrp6Wl6ejoAACio6OHDx+OIMipU6eGDh0KAKiqqpowYcLGjRu3bt3apgEYVVU6AKLy8uqSUoy9XaNXb1+5dPPiP1Fv3hCUxCoEleSkN5NHjkUwyKz5P793eDfbYq4pzXLpzwtHBQ3RNzJ4kvGqh7YpAODaxYsThgxBUfRKeHgvMpma9a7CwX7QoEH6+vpTpkz5ousF+d6RKxBy5syZ69at4/F4FRUVpqamDAajvLy8X8fpSkdHRxcWFr558yYoKMjX1/fZs2ct9eRwONVNqK+vlydx9LuHMm5ss1/vf+/b99fBQymCVJFYCABwcHZydHFRVVUdPHyolYHN6slraDTanj17kpOTDx48KPHbEASZPn26ra3t9evfuCBb19JKPkV3oZKZJdzbjCCtY0917Z5UFT49tvgZ2qSeNBaLm+UzY5Xdhjoha1XMymtx11D0U6rOyaPHVm5YK/EYAACm5mYr1q05dfSEK6NPPbGaT61VoWVFvg1v3bCje/fuPHJE4jEAALz8/X+aNu38iRPtP9XOQfnXX1oXTGloaFi7dq0k3otAIOzYsSM7O3vx4sUSjwEA4Onp6eDgoK2tPfRjoA+dTg8ODj5w4ID89fixmprkhAS0Sf+/9+3bumePvqHh2cjE6OIoWwe73l4eRBLpj99X+OKHnEw/zgZ1W3b+mZaSum33DgaVnl5YAwAYPWECmULp7e1t5+SEsbLiDhtqaGi4Z8+evXv3Knp9IN0CiqL19fVNvw27oEa4XE7DgwcPHj16dP36dQ8Pj7///vuff/6ZNm3arl27OsqIp0+f8vl8JyensLCwoKCgkSNHNnvmXC6XwWDQmzBw4MDc3NyOMuYbBovFW1o0TVsoKigws7AoLdPPrP4gH4zBYBoJIohEIgwG0yh/3dLSMj+/YxSHfxzIqaloTSvTyV0NztxMfdKkll7l00FuqWpGRfOB+gbahhsD143TmfisNub3h8ujUp5K2osLi0w+nw/oaW5aXFgk3eyt7+Rp4trAqqov4B28HlPNaiwrIBaLS4uLzT4PkzK1sCgqKFDo7AAAfIGols3vQJH3T4hEbSYBFRQUmJmZydb/xmKxYrG40bpD0+gQQ0NDkUhUI/+tgiDUGdPVm7gvRQUFphYWAIC5Awb7KA8GAGA+hquP9R6qh9rvjdvTwOdhMBgBnw8AYNblRWQ9BwAgCCJrdhUApghSoPj1h3QLubm5AwcObPptyGAwOlvFQy6nQUtLy8PDAwAgEonYbDYAYOrUqXPnzu0oI6qqqiTOOIIgy5Ytq66uzsxsJheITCY3Wzjs2bNnJiYmHWXMdwDx/Hnxq1fSTT0Dg6yMjNkBHo5GLpIWkVjUaGpG8qQjfh51n56ebtSqggCkKdQZ09VptLb7dSFYLU06AKhA0Kw3M83bh0Ezb6SKKYtPL59dAdudqE7/lV5Y/XDtq4yXuvp62VlZsn2yM9/p6evLtkhC9/Fq7EB3XGJxOKEKFFSw7yUUCkUoAACDwTB0dbMyMmSHvMvI0P8YkCs/Z+5FX087VkuobLurIqAcDnZL22sH+vr6mZmZsjOdEv+70RRCU3Hg/Px8HA6npqamqGF0ALD/2ybVKdAzMHiXkQEAUKUQ8Do4FT6dL/zg+iMYzKI+01Cx6rmkk2KxGIfHAwBcDA0woAJ8FBCQ3XNCaqqBejPFPCBfISYmJs1WhKyrqyN3cnUcuZwGf3//oqIiAICfn9/GjRvr6upu3rz59OnTjjJCT09PIBBI/icQCCQSSVtbu6N2/gNCnTyZpvEpGnHekiWrFy+uKCsDAGApKpcjLia9fFVXW3vvzgfdahaL9dtvv9na2v76669SL/Wff/5JTk6WLQMKkR9abS3oKtU+OaGLxbg9ewGb3agdgyAMNTKfDp5kxCSUNS8aicXhJnlM3OG924RofCr/ONadvHnd+ryPgrF5ubnbt/xv9oKfmx1rrGrqoetbR6jSJPPYuOjXmTEAgPLahtEz5/2xYEF11YcpgudRUZfOnp08a5Y855KQXRme/FpcwW1gVU316zXBchLSVEv0CxGLlZcsbrOXl5cXmUzetm2bNNhr5cqVPXv23L9/f8VHpai4uLikpKSysrKwj0rxdXV1c+fO/fXXX1tKYm8dlT9+V/uotD5vyZK1y5aVfhRbevH+deSTpxwu5/b1mwAAqrLy7B4/3TlyR89Uf8Py1RKRzN46Xtf/u8zlcGKjolLfvJEMLC0uXnfixNw1a9phD+SHQq5AyNWrV8+YMeP48eNjxoz566+/JAsTQzsuEX/kyJHbt2/ncDgUCiUpKcnLy4vRcqwypG0QBGdkSP8YBDdl9uySoiIvOztzS0s+n5+Wmb5r3249Pb3Fcxfs+XOHJl09LS1tyJAh58+fX7hwoampqaWlpeR5d+PGDRgF2T5QHl945Chu1cruNuQTCJGounkTaDlas49l/zvx751adtcpROps71ks9pgrpOuVFSUBXl76hgZqVLXc7Ow/1q32CfBr04ZBJv0AAA2sKhIqMvG3KS1M7W1lZWJuUVvHZlUzj54/30oUZE5pvVAkMNWlkaoxeGwxwGWwCNoEQGjzoO0DUVKSxw3B4XBXrlyZMmXKmTNnevTo8e7dOwsLiydPnhw6dKhXr16WlpZ8Pr+wsPD06dOS7AkajSaJkRw1atTGjRvbaRuBgBAIdACYefljJ00qKijwdXAws7QUiUR5ubkbdh50NjJbsGjGgV17aWq0d5lZprZWar8qia6LPeydTc3NaqprGhoaRq3d6qqlMjYoyMjYGIvFZmVkzF+yZNyUKVUAUCOfEn28QYdqrkK+G+TSnpCltrb26tWrWCx23LhxlI/e7pdz48aN0NBQJyenoqKiZcuWaWi0WEi/KT+a9oT81B84yB83FmEwAADM8vKkV6/IZLKVvRMDVakjVAn4/OTXb8T1DfLUaVBIewIiQfr1LGd9TIW0J74EZvg9TMsFFquLi98L3lmp92plDw187sWnFx4k3RMjqI+V/wTPn9RU21MFtKyk9E3Sm0xurpWV+Yieo+u4glMJ0RYWmL7mPigKLkQnkjCFo8z7EzHE2JrXb2uiB/QYpExQaXZX8gh8KKQ9IT+dVKehTRruP6hHALZfP2ZFxetXr4hEoqOrK1USy1wmeJ4eWVZaJqnTcOThv5kger7xr+/T32sztHvZ2aZWp5GpSj2plonx8Twez97ZWeNjnQZxYqIym0308mqfVVB7ogvoRu0JuZyG5cuXv3jx4tdffx09erSkJSYmJj8//6effupk8+QCOg0tgTY0VDGZyOeLzRJqi8t4JK4KQaUzBKsgUiR+w9fmNDQ8fMi2sEQMmrkxAAAoCnbfujHZszeN3HxlSZme4ifJjx+VP6kExXrArK+OT2/rPsiX/UKt49fV8Wr0lQ0BADxRA0tQTydpyLP60I1OQ/fS7NTRu9K6O++OzrKbLinFIeQLNj/ZSyCw1/hulH2DSC1ftHZXgodOQxfwDQhWbdq0SeoxAAB69eq1e/fuTrMK0jEgJJJ6cx4DAKBAAG6kd6L8BEQC/vARtLyxcli3QwoMVG/BYwAAIAhYNmyEupq2Cp+eXZPZyu8KBMH42/XdGrhltd16dbzqxeJ/lzxcejDi75R3b0B7s6BVCCoSjwEAQMSS1EmaHR+v8H1BB0D8NAqwWLKNpgwVV63x0jcBR8DPs57MFLCuJl2U7fY87V157WcDpVQBUHHzlqikpHOshnyryOU00Gg0Hx8f2RYymZyTk9M5JkE6GLpQKDxxslFjLyPtYVZTu8WeHwqlmTMAv5kCSl8DdAAIwcFoc98KGAyCx2H4dFBUiwnLbk39UoKBltF83/n7Aw+O0xvFQquPvj+w5MFv+yOOvEp7CWuodAF0KytRxONGjR7mPZRVP4Wo6OrrjqOPf1IZ+aogTtporaPyX2pwS1qs2KABVe/zOsNgyLeLXIGQzs7OXC5XNoIhJCSE9pXllUFaBIdTtbJkCQQI/rOawTpqZAC+U+nqrwaETG5psudrgDp1KqmkpK7lDv1t3IorOSp8SgWupJ5Xo0FuLa0JQTCe1j6e1j4ikSA6/VlsWfzpouCzhWcZwNBS2czDxI2hpdvhpwABAGA0NTSHDQXNLVU8TcmjaJa6aLsDADyc3bIfF57OOGGobqxJ0QIAEHG4SdZjWpzLIZGwfXpXfcFSBeT7Q66ZhmXLls2aNau8vBwAwGKxTp48OWvWrCFDhnSybZAOg+jpqf65x8Cqr9+4fLmdoSGJRPLw8Lh3Dy5VfJ9ERkb6+PhQKBR9ff3FixdXV1dXVFTMmzdPR0eHSqX2HTjwZWmpGopeOHDQy9aWQSC4mpsf3btXmgINANBVp/DpgKqkeTUhNqfyg956bnbOnEnTrPRNrPRN5k6Z8T7ns+pqWCzex8Z/ecDyA32Pzug5TZOkGs+K2/RmzbIHf+x4uO9KzLWUd29EQtHLuBdjBg0z1dZ3NLNeueT3qso2ai3U19VtWr3OxdLWRFN3RL9Bz548BQDcuXU7yNvfiM7o2bPn5s2buVxubm7uTz/9RKfTaTTaiBEj0tPTO/qifr2Qw8LRoiLZFmtTc07lp9DRid7DNUXWB+L2iMUfKklQcFQeu/pJcmvLEMz4eNaRo51hMOSbQy6nwd3d3dHRkcFgqKqqKisrz54928rKasuWLZ1tHKRjUUpMRKurAQAikWjisGHvMjP/DQl5//79ggULpk2bduvWre42ENLBREREjBkzZvr06e/evQsLCysvL+/fv39AQACfz4+IiMjMzBw7duzgwYMXLlx4cO+edX0DUwoL9584ceO//1YtWtRoVzgM7td+07XVjFX49ITM+KGBA6x62dyLfnwv+rGZhfmIfgNLi5tb5kAwjiYuc7zn/hn45z6/oyP1B6sQiAns+CPv9086OnbsiBGUXrTfjq1dsXtdVRVz/JCRvIYWl3KEQuHUMROK8gvOXbkYm5w4afrUBTPmbFixetOqtYv++O1VRsq///4bGRk5btw4T09PExOTly9fJiUlubi4eHt7v/9YUuK7h+TnS/3cSdLXoPZ385QW78LisEtcZnCEuBPxx6V9EICwxSmvilqsgI5xdeXNmd1JNkO+LRRIuXz9+nVoaCiMfcFZAAAgAElEQVSPx3NwcBg+fHj7ypJ0BjB7Qk7ENTWV4fewP42/funS3/v2hUVHY7FYybPkyZMnU6ZMyc/Pbyn0HWZPdAEdnj1hbW39119/DRs2TLKJoqi5uTmFQnn9+rW0z7FjxxYuXJidnS2p/lkFQG1NTR9r6yvh4TZ2jeWRJMyfNjWfxzq+/7A69UN6xbb1myuZzN1HDshpGArQQA8f/7F9GS56JbzSarSGC2pe/C9Wx97Afoi7EqJCw6qo4KlKBKoqSVmJSFUmqTy68zDkvxsHz/2NwX74qfM8Mnrlgt/2XTpEN6DzhIKprmOFYlRXV7dv375Xr16VHmvz5s1paWkXL14E32n2RLM0WqcQi9GHGXe99N0xCAYAkJr+9mjBgTE9RvuZfZIQyq19Z6XXmha5nIsUMHuiC+jG7Am5Yhok2Nvb29vbd54pkM4GQ6Np/jS+CoA3CQmBAwfKun1+fn51dXVlZWWwrNZ3A5fLzcjIGDRokLQFQRBVVVUqlSrbzcDAQCwWS8sG0GprBSdO9vH0fP3qVUtOQ2rS6z3Hjulp6wAAktLj0zmZ/QYPWL10ufy2oWI0621GyNxwWWMOp+179izKmWZb1VBTy69nNpQ3NHD4tQ18wBMh/DdRr4lWxH2ZOwGCAagYAFDPbUBRNKIhklyiQgSkwUw/hp4BkUhU/7wW8rBhw/755x/5bfs+IN++ze3dB2h+KHiDwSDp+RQGNdOcbgkAsLG09iobeC3vsrWOrZbSh4+8sappaUUpmUJXpXZWySzId4ACTgPk+4AOAEmM1td9Fv3G4/F4PB6JROouqyAdDh6Px2KxbDa7UVnPRpOLYrEYQRCpohJGVVVjymTeg/uklivYk8hk6f1jZ+7CyTAsex9HJSqlMJNUCGqGKm3rlWAwGCKRyK5nyToNWBRnoG04ynVMs0P+erZFLEZX91svbclKz3iE3t3Zf5dkJwwlOgAAQZBGQg9dUI3/K4Tk749JTGRrektbFg3wJ1SBuo9zEOO9h+Y9LNkd99cWvx0E7AcvgYLHnom7Oc93OAHbRokOyA+LXDENkO+MoPr6a//+yywvl7YcPny4d+/eMCPmewKHww0cOFBW7LimpqagoOD9+/dsGQWKhw8fkkgkqSwCACC5pCQ+IWGov7/o0SPAZDbdc9DQoX/v2ydxPjAYpI+l1oXjR4JGD9dXc3qUVieuVQIA5NXlVnKbGSul36Cg44c+xdax2ex/Tp/tPziopf6BAwdc+++ybLDkvbthFCo1LOSOtCUnJ6e+vj4lJUXWb9i7d+/w4cNbseS7BFFSInp7N2rk0wGeTa3l1QCJnJXnVCCiH435tKhEwGHH27vk10LRYEiLwJmGH5GAw4cmqtMDXFxmzp+vQ6PFxcXdvXs3OrrtdHzIt8Xhw4fd3d0zMzO9vLxYLNbff/89fvz4+vp6Z2fnOXPmkEikiIiIV69enTt3btKkSVOnTrWyssrPzz927NiePXu0tbXFRCI/IZET4N9ot7/88cf9O3eG+PgMHzsWAHDz8mUEQRb+9hsej5/f1xcAAAAdy2X/E//yZ5uBJHVOVk26SIRaqlvJ7mTT9m2D/QLz8/I8vL0auNx/Tp/t7ekR2HJxaxd3t5FjxwR5B0ydPUNZWfnVi5dPIx4fPn18ydyFL+Ne2NjaNNSwjh49unnz5tDQUA8PjwkTJiAIcuPGDRaLJQlo+AGhA1Bx9Rp21EjwcSbpNavmUfatXz2mAQDIVMrMHj8dyj/wKP1eX8sPV16VSFMFoKSaq6P2w03PQORB3pmGkpKSc+fO3b17V7JZ/FFUDfJNgsPt2bYt+OLFSiYzJibGzs4uMzPTzMysu82CdDD6+voZGRnu7u5xcXElJSUnT548cODA6dOn9+3bl5eXFx8f37dv37S0tNGjR79+/VpNTU0iXfvs2bOpU6cCADA0GinAnw4AXSwWhYWDjz/fCQTCnaio6fPmpaWkpKWkzFq48HZkJP7znF5TTYMVg0bSjEgkJboOzfpZZkMFl6jCp+fWZp9NvsjiCTS1NCNfxnp4eyUlJBQXFf1v945dh/e3fjprt248EHyUWcFMiH9p62AflRTff2DQ04Q4PQP9uJhYLpcbFha2bNmyhw8fLl269O3bt8nJyTNnznz+/PmPvO5Gs7YSZ2ZKN516as/2WCDdtDA3DyKNulF4NZv5mUw5m8U89/wOgECaIFf2RHR09KBBg+rq6kaNGnXt2jUAwPHjx7W0tEaMGNH5FrYNzJ5oH/y4F7VslmZAgDydYfZEF9Bl2hPtgJ+YiFFVrTMx+fJdZRbV0pSIWqqkgrrcM09vBjHG2lpSanm18aWvXBmuqkTl9u32h9WekIemRZ8aWJ/aDj88l4XGbvX9S0lGDOxFaYyDgbcK8VNADMye+Hr42rUnVq1atXPnzpKSEtOPwrXTpk27cOFCZxoG6XQI7m5Q+RoiJwRHR5yJCR0A1ZIS4cFDgMtt967M9VS1VEkAAAMV43VDlrq66JOU6Nrqxup45/xqEkmJTuCST8Rdjcr9UG+glF0irUQEaR9qAoEoNk625WhUaBErX/L/HM9xZFTvUMw+FHz6DenG8CAIRNWsr7QIOqS7kMtpsLKymjt3LoPBqK+vl7SgKBoTE9OZhkG6AoKzc3ebAPnGwOroaE6fTsfjAQBodTX68Znw5fQxN3Y11QYAYDTJv/Sd623hTlKiE5XUovOzL0SnSMoTJZS9qOFVd9QRfxwQPJ6c/AYVfvK9BtsNw7E/zB0QyKRfrWeUCuouJzT+KRifkxbzLrXrDIV89cjlNEjTsbgff16Eh4f/gFlMEAgEAIAoKwEcjg4Ajc3GHzuOds5sP4mABQAgAJnkOmz2wAA+HZCU6CKR0d03TIkDEVvyrIQNg6vkRWnOHHXcp8h3cz2aUU9D6aauvu5kxsSnVU8T8j+rC+ltbFDEgb8PIZ+QK3vCxMRk8+bNkyZN4nA4NTU1YWFhc+fOnThxYodbU1RUFBwcvHHjxg7fMwQC6UBQFL18+XJsbCwAwOPWrTFjxghTUznXrotWrgBEouQXLYJr4/HC4/EunD6dnppKoVACBgzwliO8xtvcytsc8AEoya4O/ftpetbZfnZOI6ePKsUVaxC8z5w5k5ycTKFQ+vXrFxgY2CFn+p2BlpQADQ2pdl1+vbiEFe+u4w4AcLF1elsVeDbzVE9NU1WymqQDgiBDTUa/jH4SGnpfVFdrYmIya9YsmJv9IyPXTMOSJUuio6NNTU0vX76spqY2ceJEfX39HTt2dKwpKIouXbr06FEoiwKBfNUIhcIBAwb8+eefOjo6Ojo6W7ZsGThwIGJpqbphPZ1IpAOgWlSE37WbJikAxWSKrlyRiJ7IUlVZ6WNvf/vaNeOePckUyrwpU9YsXSqnAbevXevr4oLl80YOCHhXnO3v5lmZXO/o6Hjp0iUTExMqlTpjxoxffvmlY8/6+0C1oUF4PFi6yVBVTcn5VOdtivdohtj6r5g/heJPimWn/g4eP3RUZlGetpFhbGyspaXlD6UBBmkMKh9CofDmzZtr165ds2bNhQsXGhoa5BwoP5cvX967d6++vr6iA589e+bo6Njh9kBkcXV19ff3724rvnPwePy1a9e624q22bZtm6+vr0AgkGwKBAJvb+/t27c331so5KdniOvrURQV83h1+w/wX7+pRNHREyZM8/Utj3leiaKVKPquslLf0PDSnTuSzVb+Misq6Orqd6KipC1nrl6lUCgzZsyQHrO6utrY2PjWrVuNbLl69Soej++Ui/JN0eiS1leiRfWVkr+skvwJ1+auurtesvnk5XOamlpU4ovs6oLEsgQURXfv3u3i4tLKzv39/V1dXbvqVH5QHB0dnz171i2Hlre4ExaLHT58uGxhtQsXLnTgCkVlZWVZWVmvXr0IhBbLnqMoGhoa2tDQ0Kg9IyODw+F0lCUQCKR1QkJCNm3ahPu4+oDD4VatWrV169bly5uTn8Bi8Rbmkn8RAkF50a8AADoA4SEhGSkpGgyGRCGNFBExLzAw4tatfoMGiaOigJISxtGx2aNHP3li5+TU28tL2jJ09OiZ48cPHTpU2kKj0X799debN29KxbogstA/T8Lk00FJaZmOkjYAgKJEXWA+e++73eGpoUE2Qx7ffzho2BAT054AABOaIwBg8eLFmzdvLioq0tPT6x7rIQBwOJzHjx83LZhEJpMHDx7cku5gh9C805CRkVFQUNDKMB6Pd/z48Q50Gk6cOLFkyZKoqChcy+ugPB7v4sWLQmHj5Csmk1n3uZICBALpPNhstoqKimwLjUaTLU3dJmKxuKGhgaapiXwsu0QZM0azqio9KooOgNjKSlRcggegCgBx3AtApWB69ZKO5XI4Kk1ShVGxuNGDkkajwd8SrYD78y/hL78AZSXJ5tXEdC+LUkctewCASY+eE+unnC85qauix+FwlFU/e6+xWKyysrJCbzekw6mrq4uIiHjz5k2jdhwOFxgY2KnVzJr/hr558+bKlSs776iNePz4saenJ5FIBAC04iKRSKRmi0NIijt1on0QCEQGBweHu3fv9u7dW9oSGhrq2MLEQLNgMBhbW9u7d++OHTtW2njnzh1fX18AAEZDA6OhAQCgA4BaW/NTUogAVAGA1tQgNJqNvf3GFSvqamulrkNJUREGgykpKZE9xJ07d1xdXb/kNL9vlObPq0bF0qft4sBhxBqEC2okm31s+2RUvTuZEexv0ffgX/uEGwW4j7GTiYmJHA6nR48e3WA05CMMBmPLli1fkTS2j4/PlClTNm7cKEm23LBhA4IgkqQGgUCQmpp6+fLlbdu2dZQRW7ZskUyzsNnssrIyExOTY8eO9evXr82BEAik69myZYuLi4uGhoak2vTp06ePHz+uaEnWffv2STyGwYMH19bW/vXXX1lZWZcuXWrUDVFWIvbpDQCgA8BLSxPlF/QaP27AkCFTRo78c/9+M0vL169e/bFw4U/Tpq1fv15NTW3o0KH19fU7d+5MTk4+e/ZsB53xdwiGRlOXWaQg4LGoJgCsTx2m+0wufFj6kvpSS1tr4ayfV29ap2GhFBkZOW/evJ07d7ayjgz5zmk20oHH40VGRko3nZycqqqqZDvcvn17/fr1HR5hce/ePTMzM0VHwUDILgAGQnYB30ogJIqiiYmJAQEBFAqFQqEEBgYmJSW1YydhYWGOjo4EAoFGo40fP76goEDOgRwO57cxYxgMBoIgBkZGW/fsKRMI7t+/7+zsLNnb2LFj8/Lymg6EgZCN4KelV7x8KY2IjHhftCPusDQoMqescPK1hfMvLZo+d5a6hgYOhzM3Nz9z5kzr+4SBkF3AVxcISSAQfHx8pJuqqqpqamqyHfz9/SdOnLhp06YOdF9Onz59/fr13Nzcbdu2TZgwwdjYuAN3DoFAOhAHB4dHjx594U6CgoKCglrUwm4FMpm849SpP/Pz621spI39+vWD05OKgrcwp94K4X6sDGtvpFvB7iN9lUgh/2o7Z3vKdv+Jvv/bvUMedQ/Id49cdRpsbW1rampkW+7du0elUjvWlBkzZty+fVsgEKxevRp6DBAIpBUwysp4Gxs6AGpCoWDHTrSysrst+jZBEPKI4bINgdaOkoKbEvR1DKboTX1UfT82C9aFhAAgf3GnMWPGREdHV1VVZWVl7dq1a9q0adCph0Ag3Q6Cw2ktXqQGl9i/ADoA4vRP0th8OniQEy1CRZJNN2u3oWqjz+edfpkM/QaIfGWkjY2NJ0+eHBAQIJWU7dev365duzrTMAgEApELhEhEiMTutuLbhhwb20ChIIYGH7ZFBinl6fbaH1Z/gpyD3j8p2PHqxGVbj24zEfJ1IG9xp+nTp48aNerFixclJSW2trZ2dnZSFSsIBAKBfNNQp0+jfkymqK6q0mSzsDw8i8pSUlICAAiFQh/1PjZsg7y8PCMjI8mQgoKC7OxsGo1mbW0Nkyl+HOR1GgAAKioqUAMGAoFAvmMO7969e+vWnubmQoGgID9/+ZbVTnZOi+bM53K4PYyM5s1bOGTIkEOHDv32229Xr161s7MrKSnBYrFnz551d3fvbtshXYECTgMEAoFAvmPu7d17/M8/78fGmlpYAAAePno8deRgFbLykhW/T5szU09ZvaamZtKkST4+PhoaGtnZ2erq6gCAU6dOjRw58vXr15qamt19BpBOBy4xQCAQCAQAAA5eubJ3258SjwEAENjXP2jgUAwWM33uLEmtXhqNFhwc/ObNm8OHD0s8BgDAzJkzvby8Ll682G12Q7oQ6DRAIBAIBAAACgoK7Px8ZasxEIlEDAYr2wdF0aYBbba2tvn5+Z1vIKT7kddpEIvFoaGhmzZtOnjwYFORDAgEAoF86+jq6mZlZQEARJevABQFAIiEQgDA3y/uvK3IlvTB4XBisRiL/cyTyMzM1NfX73J7Id2AXDENbDZ7yJAhT548kWwiCLJixYpt27Z1qv4mBAKBQLqSJUuWLFu2zN7eXruXTV1eXgabHfnwIUAQRiEgWqoDALhc7qJFi2xsbH777beLFy9KSvzduHHj4cOHu3fv7m7zIV2BXE6DRD39/Pnz/v7+mpqaeXl5+/fvv3r1qqxCHQQCgUC+aSZMmJCammpra+vu7i4QCF4lJKzdtq2Xvf3ciRPV9tGNDQ1fvHjh5OQUERExb968nj17uru7l5SUlJSUXLhwQUtLq7vNh3QFcjkNsbGxUVFR2trakk0zM7ODBw+uW7cOOg0QCATyPbF169a5c+e+fv0ah8PZ6+sTtRmIlubzt28TXrwQVldv2rTJ3t4eAHD9+vXk5OR3797RaDQ3N7cOVxWAfLXI5TTY2NhIPQYJCIJUwmLvEAgE8t1haGhoaGgIAEA5nIpjx3FLl5ApFE8/v0ZyVba2tra2tt1iIaQbkSsQEofDoSgq25KbmxsfH985JkEgEAik+0EoFK2lS7rbCsjXhbwql9OnT4+LiyssLExMTNy7d6+np6e3t3dnGweBQCCQ7oUOAKhndbcVkK8FuZyG2bNna2ho9OnTx8DAwMnJSRJeu3Xr1o4ygsVi/fzzz1paWurq6lOnTq2vr++oPUMgEAjkCyHdvSuOgRKXEADkdBoQBNm9e3dGRsb58+ePHj0aExNz9+7dDox8CQsLYzAY2dnZ9+/ff/ToUQe6IxAIBAL5Ejgczp8pyZ7TpmlpafXu3TskJKS7LYJ0J3IFQiYnJ1OpVCMjIzMzs84wQkVFZe3atXg83tnZefr06ampqZ1xFAgEAoEoBIqi48ePFwgE/168aGBgEBkZuWDBgoaGhnHjxnW3aZDuQS6nwcvLS1dXNzIyspMycQcMGCD9PzMz08fHpzOOAoFAIBCFCAsLy8rKSkpKIpFIAIBx48bp6+uPHDly1KhROBzUO/wRketdHz58uJGRUSOP4fDhwwsXLuxYa3Jzc2tra1vaLY/HmzNnTkNDQ6N2JpNZVlbWsZZAIBAIJCEhYfDgwRKPQYKHhwcOh8vNze2kiWeIPJSVla1bt05DQ6NRO5lMPn78OJFI7LxDy+U0rFq1asuWLUePHvXz88Pj8QAAHo8XHh7esU4Di8VatmzZuXPnWjphPB4/cuRIoVDYqD0jI6OoqKgDLYFAIBAIAIBAILDZbNkWsVjM5XJl3QhI16OkpBQQEGDxUY9UCg6Hk3xHdx5yOQ2DBg16//59pyqfCgSC1atX79u3j8FgtNQHg8GMHDmyaXt0dPT169c7zzYIBAL5Menfv3+/fv3WrFljYGAgaTl58qSenp50E9ItUKlUf39/T0/Prj+0XE5Dv3796HS6v7+/VNmMx+Pt3Lmzo4wQiURLly6dPHkylUplMpkAAFVV1c52lyAQCATSOg4ODkuWLHFzc1u0aJGhoWFkZOTVq1cjIiK62y5ItyGX0zB16lRjY2M9PT3Zxtra2o4yYtmyZYcPHz58+LC05fnz57179+6o/UMgEAikfaxZs8bT0/PKlSvJyckmJiZv375tZT4Y8t0jb/ZESUnJuXPnNDQ0Bg0aBAAoLi6eOHFiRxmxf//+/fv3d9TeIBAIBNKB+Pn5+fn5dbcVkK8CuYo7RUdHW1paTps27eTJk5KW0NDQmzdvdqZhEAgEAoFAvi7kchpWrVq1c+fOkpISU1NTScu0adMuXLjQmYZBIBAIBAL5upBrecLKymru3LkAAKkqBIqiMbAUOQQCgUAgPxJyOQ0YzIcJCS6XK/knPDycTCZ3llGKw+FwXr161WY3Pp+PIEg78jLYbHY7tDa6cpRAIEBRlEAgdNLhJLna8lzk9tnP4/FwOJw0PUdOUBTlcrkUCkXRw3XlWyP/XYeiaHZ2dudd5PaN4nK5RCJR+hCQE7FYzOPx2vGU6NRTy8nJQVFUnivc2R+oDhnF4XDIZDKCIAqNEolEQqGwHfV/5DSSxWKx2ezOu43hYxwAwOFwFN15R4GgKNpmp507d3K53EmTJq1evfrYsWNhYWFz586dOHHisWPHusDENsnIyBg8eLA8J1JdXY0gCI1GU2j/XC63pqZGR0dHUcNyc3ONjY0VHVVSUkKj0RR92tbU1KAoqqamptAoHo9XWVmpq6vbZs+6ujoEQZSVldvsWVhYqK2trehHurKyEo/Hq6ioKDSKw+HU19dra2srNEosFhcUFBgZGSk0CgBQVFSkoaGh6NO2qqoKi8Wqqqq22bOsrExdXb3N6rwCgaC0tLQdifL5+fl6enqKemYVFRVkMllJSUmhUSwWi8vlampqKjRKKBQWFxcbGhoqNAoAUFBQwGAw2rzrhEJhZWWlPDdMbW2tSCSi0+kKmcHj8ZhMZqNEM3l4//69oaGhop5ZWVmZsrKyok5zXV2dQCBQV1dXaJRAICgrK9PX12+zZ319PYqi8nyWi4uL1dXVFf1AfSuPcTU1NUVLYMn/GEcQ5M6dO02LO3UFqBzw+fz+/fvLjrK0tJSc3rfFihUrNmzYoOio8PBwb29vRUfx+XwAAJ/PV3Sgj49PWFiYoqM2bNiwfPlyRUdFRka6uLgoOqp1zM3NExMTFR01b9683bt3Kzrq8uXLEn9RIZhMJplMVnQUiqL29vYxMTGKjlq2bNmWLVvacbiWSElJMTY2bsdAbW1tyU9thZg4cWJwcLCio4KDgydOnKjoqJycHG1tbUVHoShqbGyckpLSjoEtsWXLlmXLlik6KiYmxt7evh2HI5PJTCZT0VGDBw++fPmyoqN27949b948RUclJiaam5srOqp1XFxcIiMjFR21fPnydjzGw8LCfHx8FB3V7se4t7d3eHi4oqM2bNiwYsUKRUd1MXItT+Dx+Lt374aGhr58+RJFURsbm1GjRnVqdWsIBAKBQCBfG/LKlGGx2OHDhw8fPlzaEhERERAQ0DlWQSAQCAQC+epQQNu0rq5OGnzB4/GOHj0KnQYIBAKBQH4c5HIaEhISpk6dmpqa2qhdLBYrGrkDgUAgEAjkG0Uup2H27NlCofDgwYN6enqKpvdAIBAIBAL5PpDLaUhLS0tOTpaWg4RAIBAIBPIDIpfT4OvrK60FKeXp06c+Pj6dYFIn4ujo2I5qLT169GiHWAsOh5swYUKbOfdN8fPz69Gjh6Kj7O3teTyeoqMMDAz69u2r6KjWCQoKaocInqurqzwp4I0wNTX19vZWdJSSktKYMWMUHQUA6NevXztS8J2cnOSpbyE/WlpaEt04RRk2bJiihQcAAL1797a0tFR0lKWlZUNDg6Kj6HT6sGHDFB0FABg0aJCWllY7BraEnZ1d04dem+jp6fXr168dhxszZoyilTAAAF5eXu34LWdjY6NokQMAAIPBCAoKUnRU6/Tt27cd5UYcHR3bkbv3TTzG7ezsBAKBoqO6GLmKO1VUVKxcuXLt2rXSohM8Hm/x4sWXLl3qZPMgEAgEAoF8LcjlNKSlpY0cOTIjI6NRuzxjIRAIBAKBfB/INesyZ84csVi8d+9eaSAkj8c7ePBgJ9sGgUAgEAjkK0IupyExMTEpKcnMzEy2sR0r6BAIBAKBQL5d5Kqy4Onp2VRTy9HRsRPsgUAgEAgE8pUil9Nw/Pjx/fv3FxQUsD5SWVm5a9euzjYOAoFAIBDI14NcgZD6+vpFRUVN22EgZBeAomhUVJS6urqNjU1H7RBW6IJ0PR17J8PbGNItwAeyXDENAQEBZDLZx8cHi8VKWng83uHDhzvTsC8lKSkpJCQEh8PFxcXt37+/UcpsK6+28hKLxfrtt99u3LghEokGDx58+PBhaf5964eTUFRUFBwcvHHjRjmNBACkpKTs3Lnzp59+8vT0lP/sQkJCoqKiNDU1ExISVq5c6eDgIGmvqqo6derUkSNHMjMzm2Yey3MKkK6nfXdyV97G8gxs9k6Gt/GPQ1fexm0eTkJHPZDbdxuDb/dOlkc/+86dO7m5uY0ag4ODO0aduxPgcDhubm4CgQBF0ZMnTwYGBsr5ausDL1/+f3t3HtTE2QYA/I0kQinlUIhYvKLiUa1awPGIihQVqtQLL0RxQBGoKCoVLSoejNNWhOqMoyjYsSoWHRRQKyiO4IEiUGvBY6QcRqkaY0QDcuR6vz/e+fbLl2Q3a4AA8vz+YJLdfd593+SZ7EP23c3pmJgYmUxWXFz8+eefR0VFsYki1Gr1/Pnz+Xw+y31hjEtLS729vWtraz9odM+ePRs3bpxarcYYFxQUTJs2jSyvqqr69ttvMzIyEEIkln2boK0Yl8mmTGM2gXozGdK48zBlGhsMJFrqA9m4NMYdOZNZFQ16nThxogX70bJSUlICAwPJY3JiRSaTsVnLHJidnS2Xy8nj6OjoWbNmsYkiTp8+/csvv/Tq1YtlJ1UqlZubW1FR0YeOrqCgoHv37lKpFGOcm5sbHh6uGfvs2TO9OcpmCMD0jMtkU6axwUC6TIY07jxMmcYGA4mW+kBuThrjjpnJhk9PPHz48NatW7EvjNcAAA/xSURBVFoLGxsbk5KS/P39m/EdRyt6/Pixvb09edyzZ88uXbq8fPmS+vKKYS1zoJeXF7WLsrIy6i7azFEIIalUKhaLhw8frnkTa+ao/Pz86urqkpKSLVu2NDQ07Nq1a8KECWwCXV1dv/jii1GjRkVFRVVXV+/evbv5rxhoK8ZlsinT2GAgXSZDGncepkxjg7tDLfqB3BppzGYIbYj26omHDx9ijBFCL1++DNaxevXqkpISE/bzw0gkEh6PRx5zOBwrKyvNG3ozrGUOpFRVVb17927VqlUso5KTk4ODgxFCmieumKOuX78ul8tdXFyysrK8vb3nzJlDXfXKHMjlcvfs2TN48OD4+Pj09PQ7d+40/xUDbcW4TDZlGhsMpMtkSOPOw5RpzCawBT+QWyON2Y+9TdAWDX5+fgkJCQghoVDo5ub2+vVruVyuUCjkcnlhYeHq1atfvXplwn5+GBsbm7q6OuppU1NTjx492KxlDiTq6urWr19/7Ngx6kdTmKNyc3OFQiHZWHOWLHPUmzdvhELhqFGjOBzO+vXra2pqysrK2ATeu3cvNjY2KyurrKzMx8fH29tbKpUyvFbsBw5Mz7hMNmUaGwyky2RI487DlGlsMLBlP5BbI41Zjr2t0BYNx48f37dvX0VFhbm5+aFDh7p3787j8bhcLo/HGz169Ny5c9l/02J6ffr0efr0KXlcW1trZ2dH/dQW81rmQISQQqGIjo7eu3ev5g85MkfFxsauWLFiyJAhgYGBlZWV/fv3z8nJMRjl5ORElZZdu3a1sLCgkoY5MDU1dfr06eSd+vHHH3k8HpsfGzQ4cNAmjMtkU6axwUC6TIY07jxMmcYGA1v2A7k10pjN2NsSw3yH0tLSgIAAvauqq6vt7e1bZZZFS3jx4kWPHj3IzJGzZ89u2rSJLD9x4sTr16/p1hoMVCqVq1atun37tuS/yEwc5iiq8UuXLjk7O7PcV2VlJZ/Pf//+Pcb47t27Xl5eZAquwcDExMSIiAiypKKiYurUqZqvjEgkQgg1NTVRSwy+JqANGZfJpkxjg4F0mQxp3HmYMo0NBlK9apEP5OakMe6YmWzg6gmRSCSXy2s1yGQykUi0atWq9lw0YIzT0tKWLVu2d+/emJgY8pY0Njb27dv30qVLeteyCVyzZo1WyXX79m02u8MY//rrrz4+Plwud9euXZWVlWyizp49GxQUtH///h9++EEikbDspFKpjIyMjI6OTkxMjI2NJRN3iczMzKCgIITQunXr8vLy2L8moA0Zl8mmTGODgXSZDGnceZgyjQ3uDrfoB7JxaYw7bCYbviNkamqqn5+f7vLIyEi4kzQAAADQeRguGl69ejV8+PCdO3fa2NiQaSPm5uZ9+vRxcXHpWDe/BAAAAEBz0BYNf/zxx4wZM8jjgwcPhoWFmbBXAAAAAGh3aIuG+fPnHz9+3MLCgiEYd7Rf2gAAAACA0WiLBi6XKxAI+Hy+3rKgtLS0oaHhxo0bY8aMaeUeAgAAAKBdoL2NdGBgYFJSku7yxsbG8PDw/Pz8QYMGffnll63ZNwAAAAC0I7Q3dwoNDdVdWFVVJRQKjxw5Mm/evKKiIktLy9bsGwAAAADaEcNXT1CysrL8/f1lMllcXNzatWthNgMAAADQqdB+06BJpVJt3759xowZFhYWeXl569atg4oBAAAA6GwM/zS2VCpdsmRJdnb25MmTf//9d627fAMAAACgkzDwTUNxcbGrq2t2dnZUVFROTg5UDAAAAECnxVQ0JCcnT5gwoaamJj09/eeff9b86XGEEPmlDQAAAAB0EvqLBpVKtXz58uDg4MGDBxcXF8+ePVt3m59++qmV+wYAAACAdkT/1RNKpZLH43E4nNmzZ+teV4kxlslk165dk8lkJukkAAAAANoe7UTIyZMnJyQk2Nra6l4ogTGuqalZu3ZtK/cNAAAAAO2I2fbt23WXKpVKDoczffp0Ozs7Wx12dnY9e/ZUKpWurq4m7zAArU6hUCCE1Go1xrhLF1aXJRunvr4+Pz//2LFjw4YNY75VmlwuLyoqOnnypL29vb29vRH7an4LLGkNSiKRXL58+fz580KhsPV22j6xf38B6DAwAOD/HTlyZPLkyQihoKAgrVXFxcUrVqwwMzPz9fW9cOECWahUKtesWRMREfGhO8rMzCS/JfvPP/8wb3nt2rWlS5cihHJycj50Ly3Vglqt3rdvn4ODQ2BgIMNmWoOKj48fOnRo3759jdtpC2poaJDL5XRrWY7ug7B/fwHoKKBoAECPu3fvkhNzSUlJumsHDhzY0NBAHqvV6qCgoHHjxlVVVRmxo0uXLrE8qFRUVDTnkN/8FmJjY9evX19YWEhVS3S0BrVhw4Y2LxquXbvWo0ePe/fuUU8dHR0rKiqoDcjoysvLxWKxSqUaOnTo3r17mRvUakEv9u8vAB2C4Zs7AdAJ2drazp49u7y8PDw8/KuvvtI6E8fn88mvxmOMY2Jihg8ffvjwYTMzMyN2xP70R/NPlDSnBYlEsn379qtXr44ePfpDd9Sqp3hYqq6uFovFDg4O5Gnv3r19fHy6d+9OnlKjGzBgAFni4+PD/IN8Wi3QaQ9jB6AFQUIDoAeHw7G0tDxz5oy5ubmvr69UKtVaSz3eunWrp6dnU1OTyftoUhUVFSqVqlu3bm3dESN17doVIWRra0ueCgSCQ4cOWVtbk6dao1MoFAsWLOjTpw9Dg1otANBJQNEAAC1nZ+ejR4+KRKIlS5ao1WrdDVJSUgYMGDBy5Mjnz58jhOLj483Nzfl8PrmLSU1Nzffff8/lcqOjoxUKxZ49e8LCwkJCQjw8PG7dusWmA0+ePImIiPDw8HB1dd22bZvmKpYNGtHCqVOnli5dGhoa6u3tHRISghC6f/9+ZGQkQsjd3d3R0TEnJwchhDFOTk6OiIj47rvv3N3dN23aVF9fzzCWp0+fCoXCTz75ZOTIkVevXqWWi0SilStXOjs729raLliwgLqQW7cbWvQG3rx5MyQkRCAQPHr0KCAgwMbG5v79++fOndu8eTNCSCAQODo67ty508/Pj5xc0B1dQkLC1KlTR48efeXKFWpfd+7cWbhw4cCBAx0cHMjtcTVbYBgFAB+btj4/AkB7VFVV5e/vTx5HRUUhhLZt20atFQqF1ONjx44hjZPWgYGB3bp1oybcFRQUBAcHK5VKLy+vHTt2kIWJiYnW1tbPnz/HGJMDsN5z3kePHvX09Hzz5g3GWCqVLlu2DP13RgJDg81sobS0dMCAAUqlEmOsUCgWL15MNrhx4wZCqLS0lGo8MjIyICCAXGPy8uXLgQMHenh4qFQq3UFt3LjR2tp6w4YN5eXljx49cnFxcXBwoCaFTJ069dmzZxjj/Px8CwuLuLg4jDFdNzTpDayurt64cSNCaNGiRVu2bBkyZAiZdnD8+HGEENmpRCKJiYnR7KHW6N6+fYsQOnjwIHm6e/fuhQsX1tbWqtXqvLw8d3d33Rb0dob5/QWgI4KiAQA9NIsGhULh7u7O4XAuXrxIlmgWDZcvX9Y8KhQWFiKE0tLSyNOYmJjHjx9nZGQghMrLy8nCFy9eIIR+++03TH9QeffuXdeuXW/evKnZJeqQz9BgM1s4c+aMtbX1rVu3SDVAze7UOqyWlZVxOJyCggKqcXJUJnMkdYsGW1tbUgFgjM+fP6/ZlOYE0jlz5ixatAhjTNcNTXoDMcbZ2dkIoQMHDmCMxWJxU1MT/v+igdqGrmgg3yqRouHevXscDkcsFlP7Im+uVgt0nYGiAXxkYCIkAAZwudzU1FQXFxd/f/8///xTIBBortW6+5mbm5uLi8vhw4d9fX1VKpVEIhk0aBA5Ym3evNnS0tLCwsLKymrOnDnMc+gKCwvlcvnQoUP1ri0uLjbYoHEtjB8/vl+/fuPHj+/du7enp+fixYv79eunG37nzh2MsZOTE7XEw8ODNEsuMtRiY2NDTRTt27cvQoj8N48QcnJySk1Nzc3NNTMzq6ysJHMVPTw8DHZDbyBCiOyIXDTL5/P1Dp951qrme3rhwoXPPvtMsx1fX1/dFug6A8BHBooGAAxzdHQ8deqUh4fHvHnz8vPzGbbkcDhhYWHBwcFVVVUPHz6cO3cuQghjjBBKTEykJuIZRP71l0qlmrPzqLVsGjS6haKiouvXr2dlZZ05c+bo0aMZGRmzZs3S2qaurg4hJJFIevXqRZaQwySbmZKah2SZTDZx4sRp06bFx8dbWVmFhoaWl5cjhOzs7Ji7QRdI4fF4BnvCRlNTk0wmq6urs7KyotvGYGcA+GjAREgA9CBfxGkumThxYlxc3N27d8PDw5lj/fz8rK2tk5OTc3NzPT09EULDhg1DCGVlZbHvALneLzMzk1ry4MED6jGbBo1rIT8//99//50yZUp8fHx5ebmzs3NlZaVu4yNHjkQI5eXlUUtEIhGHw3F3d2cxuP9JS0srKSnZunUrOSSTWoRNN+gCmalUqg/qHkJo1KhRCKHTp08bMQoAPj5QNACgR01Nje4E+LVr1/r6+h45cqS0tJRa2NjYiBDSvOTy008/XbZs2YEDBwQCAfmveu7cuUOGDFm5cmVmZmZjY2NTU1NSUhK54EI3nBgxYsSUKVN27NiRkZFRX19/8eJFctwiWzI02MwW/v77b3IaHiFUW1trZmZG/r8n/SR/EUJjx4718vKKi4t78uQJQghjvG/fvg0bNowYMUJ3UKR9rQGSJeT1OXnypFgsjouL++uvv8hxna4bFLpAqmWtPZLD+dmzZ69cuUL1R7OHmqPT7P/MmTPHjBkTGRmZnp6uUChkMhm5zESzBYbO0L2/AHRUbTabAoD26vDhwxMnTrS2tg4NDX3y5Inmqnfv3g0aNIjH45GnKSkpkyZNQgjNnDkzOzub2uzBgwdcLldz9lxNTU1wcHD//v2dnJzmzZuXnp7OEE6IxeIlS5bw+XwrK6uYmBgyjdHd3T0lJYWuwea3cO7cOaFQOHbs2NDQ0JCQEHILxbS0tK+//hoh9M0331C3g6ytrV2zZo2Li0tYWNiWLVtSU1PJpEWtQW3evLl3794cDmf58uXkQgZSck2aNCkrK+v9+/c+Pj6Wlpbe3t4ikWjBggV2dnYJCQl6u6GJLjAlJYV82+Hj47N//35qe5lMNm7cOEtLy9WrV584cYJsQ3qoNbri4uKAgACE0IgRI0gLb9++DQ8PFwgE3bp1c3NzO3nyJLUX0gJDZxjeXwA6Iv0/jQ0AoFNfX19SUjJmzBjdH4AFbGCM1Wo1efXghokAdCxQNAAAAACAFSjzAQAAAMAKFA0AAAAAYAWKBgAAAACwAkUDAAAAAFiBogEAAAAArEDRAAAAAABWoGgAAAAAACtQNAAAAACAFSgaAAAAAMAKFA0AAAAAYAWKBgAAAACwAkUDAAAAAFiBogEAAAAArEDRAAAAAABWoGgAAAAAACv/AeloT/KbYkJjAAAAAElFTkSuQmCC" title alt style="display: block; margin: auto;" /></p>
+</div>
+<div id="numero-de-nematoides-em-linhagens-de-feijao" class="section level2">
+<h2>Número de Nematoides em Linhagens de Feijão</h2>
+<pre class="r"><code>#-----------------------------------------------------------------------
+
+data(nematoide, package = "MRDCr")
+str(nematoide)</code></pre>
+<pre><code>## 'data.frame': 94 obs. of 5 variables:
+## $ cult: Factor w/ 19 levels "A","B","C","D",..: 1 1 1 1 1 2 2 2 2 2 ...
+## $ mfr : num 10.52 11.03 6.42 8.16 4.48 ...
+## $ vol : int 40 40 40 40 40 40 40 40 40 40 ...
+## $ nema: int 4 5 3 4 3 2 2 2 2 2 ...
+## $ off : num 0.263 0.276 0.161 0.204 0.112 ...</code></pre>
+<pre class="r"><code># help(nematoide, package = "MRDCr", help_type = "html")
+
+# Número de nematóides por grama de raíz.
+plot(nema ~ off, data = nematoide)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>xyplot(nema/off ~ cult, data = nematoide,
+ xlab = "Linhagens de feijão",
+ ylab = "Número de nematoides por grama de raíz")</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Ajuste do Poisson.
+
+m0 <- glm(nema ~ offset(log(off)) + cult,
+ data = nematoide,
+ family = poisson)
+m1 <- update(m0, family = quasipoisson)
+
+# Diagnóstico.
+par(mfrow = c(2, 2))
+plot(m0); layout(1)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Estimativas dos parâmetros.
+summary(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = nema ~ offset(log(off)) + cult, family = quasipoisson,
+## data = nematoide)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -3.9455 -0.6693 0.1100 1.1519 4.7603
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 2.9293 0.4496 6.515 7.42e-09 ***
+## cultB 0.1662 0.7657 0.217 0.828703
+## cultC 0.3417 0.6769 0.505 0.615154
+## cultD 0.9128 0.6359 1.436 0.155278
+## cultE 0.9692 0.6076 1.595 0.114879
+## cultF 0.3973 0.6903 0.576 0.566621
+## cultG -0.4507 0.7931 -0.568 0.571522
+## cultH 0.3218 0.8665 0.371 0.711433
+## cultI 0.8808 0.6018 1.464 0.147507
+## cultJ 1.1982 0.6359 1.884 0.063390 .
+## cultK 1.4511 0.5965 2.433 0.017369 *
+## cultL 1.4299 0.5362 2.667 0.009381 **
+## cultM 1.6138 0.5507 2.931 0.004482 **
+## cultN 1.7743 0.4958 3.579 0.000610 ***
+## cultO 1.5776 0.5268 2.995 0.003718 **
+## cultP 1.6719 0.5103 3.277 0.001593 **
+## cultQ 2.2105 0.4913 4.499 2.45e-05 ***
+## cultR 2.2080 0.5103 4.327 4.60e-05 ***
+## cultS 1.9155 0.4958 3.863 0.000236 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 3.841169)
+##
+## Null deviance: 556.73 on 93 degrees of freedom
+## Residual deviance: 212.54 on 75 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 6</code></pre>
+<pre class="r"><code># Quadro de deviance.
+# anova(m0, test = "Chisq")
+anova(m1, test = "F")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: nema
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 93 556.73
+## cult 18 344.19 75 212.54 4.978 3.475e-07 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Ajuste da Poisson Generalizada.
+
+L <- with(nematoide,
+ list(y = nema, offset = off, X = model.matrix(m0)))
+
+start <- c(alpha = log(1), coef(m0))
+parnames(llgcnt) <- names(start)
+
+# Modelo Poisson também.
+m2 <- mle2(llgcnt, start = start, data = L,
+ fixed = list(alpha = 0), vecpar = TRUE)
+
+c(logLik(m2), logLik(m0))</code></pre>
+<pre><code>## [1] -274.5007 -274.5007</code></pre>
+<pre class="r"><code># Poisson Generalizada.
+m3 <- gcnt(formula(m0), data = nematoide)
+
+# Diferença de deviance.
+# 2 * diff(c(logLik(m0), logLik(m3)))
+anova(m3, m2)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m3, [llgcnt]: alpha+(Intercept)+cultB+cultC+cultD+
+## cultE+cultF+cultG+cultH+cultI+cultJ+cultK+cultL+
+## cultM+cultN+cultO+cultP+cultQ+cultR+cultS
+## Model 2: m2, [llgcnt]: (Intercept)+cultB+cultC+cultD+cultE+
+## cultF+cultG+cultH+cultI+cultJ+cultK+cultL+cultM+
+## cultN+cultO+cultP+cultQ+cultR+cultS
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 20 488.72
+## 2 19 549.00 60.278 1 8.236e-15 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>c0 <- cbind("PoissonGLM" = c(NA, coef(m0)),
+ "PoissonML" = coef(m2),
+ "GCount" = coef(m3))
+c0</code></pre>
+<pre><code>## PoissonGLM PoissonML GCount
+## NA 0.0000000 -1.14112640
+## (Intercept) 2.9293041 2.9293041 2.64609924
+## cultB 0.1662485 0.1662485 -0.04559607
+## cultC 0.3417426 0.3417426 0.35670405
+## cultD 0.9128492 0.9128492 0.91203676
+## cultE 0.9692234 0.9692234 1.01528664
+## cultF 0.3973326 0.3973326 0.31963344
+## cultG -0.4507108 -0.4507108 -0.63094615
+## cultH 0.3217814 0.3217814 -0.11142064
+## cultI 0.8808018 0.8808018 0.94473617
+## cultJ 1.1982163 1.1982163 1.19639146
+## cultK 1.4511238 1.4511238 1.51617919
+## cultL 1.4298744 1.4298744 1.59550343
+## cultM 1.6137977 1.6137977 1.75476839
+## cultN 1.7743062 1.7743062 1.99708212
+## cultO 1.5776191 1.5776191 1.75826104
+## cultP 1.6718841 1.6718841 1.87564022
+## cultQ 2.2104990 2.2104990 2.43923574
+## cultR 2.2080215 2.2080215 2.41168192
+## cultS 1.9154798 1.9154798 2.14065393</code></pre>
+<pre class="r"><code>splom(c0[-(1:2), ]) + layer(panel.abline(a = 0, b = 1, lty = 2))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Perfil de log-verossimilhança para o parâmetro de dispersão.
+plot(profile(m3, which = "alpha"))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Covariância.
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>dev.off()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+<pre class="r"><code># Tamanho das covariâncias com \alpha.
+each(sum, mean, max)(abs(V[1, -1]))</code></pre>
+<pre><code>## sum mean max
+## 1.5793846 0.0831255 0.1879248</code></pre>
+<pre class="r"><code># Gráfico das estimativas.
+pars <- data.frame(Pois = c(0, coef(m0)), Gcnt = coef(m3))
+xyplot(Gcnt ~ Pois, data = pars, aspect = "iso", grid = TRUE) +
+ layer(panel.abline(a = 0, b = 1, lty = 2))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Predição com intervalos de confiança.
+
+pred <- unique(subset(nematoide, select = cult))
+X <- model.matrix(~cult, data = pred)
+
+pred <- list(pois = pred, quasi = pred, gcnt = pred)
+
+# Quantil normal.
+qn <- qnorm(0.975) * c(lwr = -1, fit = 0, upr = 1)
+
+# Preditos pela Poisson.
+aux <- confint(glht(m0, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+# Preditos pela Quasi-Poisson.
+aux <- confint(glht(m1, linfct = X),
+ calpha = univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+# Preditos pela Poisson Generalizada.
+V <- vcov(m3)
+V <- V[-1, -1]
+U <- chol(V)
+aux <- sqrt(apply(X %*% t(U), MARGIN = 1,
+ FUN = function(x) { sum(x^2) }))
+pred$gcnt$eta <- c(X %*% coef(m3)[-1])
+
+# Comparando as estimativas de média para contagem.
+c(Pois = pred$pois$fit[1],
+ Gcnt1 = exp(pred$gcnt$eta)[1],
+ GCnt2 = fitted.gcnt(
+ lambda = exp(pred$gcnt$eta)[1],
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 500))</code></pre>
+<pre><code>## Pois Gcnt1 GCnt2
+## 18.71460 14.09893 15.16369</code></pre>
+<pre class="r"><code>pred$gcnt <- cbind(pred$gcnt,
+ apply(outer(aux, qn, FUN = "*"), MARGIN = 2,
+ FUN = function(x) {
+ # exp(pred$gcnt$eta + x)
+ fitted.gcnt(
+ lambda = exp(pred$gcnt$eta + x),
+ alpha = exp(coef(m3)["alpha"]),
+ ymax = 500)
+ }))
+
+pred <- ldply(pred, .id = "modelo")
+pred <- arrange(pred, cult, modelo)
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(pred$modelo),
+ lty = 1, col = 1),
+ text = list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count")))
+
+xyplot(nema/off ~ cult, data = nematoide,
+ key = key,
+ xlab = "Cultivar de feijão",
+ ylab = "Número de nematóides por grama de raíz") +
+ as.layer(
+ xyplot(fit ~ cult, data = pred,
+ pch = pred$modelo,
+ ly = pred$lwr, uy = pred$upr,
+ cty = "bars", length = 0,
+ prepanel = prepanel.cbH,
+ desloc = 0.25 * scale(as.integer(pred$modelo),
+ scale = FALSE),
+ panel = panel.cbH))</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+</div>
+<div id="numero-de-gols-por-partida-de-futebol" class="section level2">
+<h2>Número de Gols por Partida de Futebol</h2>
+<p>Análise do número de gols feitos pelos times mandantes e desafiantes no Campeonato Brasileiro de 2010.</p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Log-verossimilhança para o número de gols dos times em uma partida.
+
+llgols <- function(theta, gh, ga, Xh, Xa){
+ # theta: Vetor de parâmetros.
+ # gh, ga: Gols do mandante e do visitante.
+ # Xh, Xa: Matrizes de incidência das partidas.
+ gamma <- 1:20 # Parâmetros de ataque.
+ delta <- 21:40 # Parâmetros de defesa.
+ omega <- 41 # Vantagem do mando de campo.
+ alpha <- 42 # Dispersão da Gamma-Count. Se 0 então Poisson.
+ #----------------------------------------
+ # Preditor dos times mandantes e desafiante.
+ eta.h <- (Xh %*% theta[gamma] - Xa %*% theta[delta]) + theta[omega]
+ eta.a <- (Xa %*% theta[gamma] - Xh %*% theta[delta])
+ # Parâmetro de dispersão.
+ alpha <- exp(theta[alpha])
+ #----------------------------------------
+ # Quantidades auxiliares.
+ alpha.gh <- alpha * gh
+ alpha.eXb.h <- alpha * exp(eta.h)
+ alpha.ga <- alpha * ga
+ alpha.eXb.a <- alpha * exp(eta.a)
+ offset <- 1
+ #-------------------------------------------------------------------
+ # Verossimilhanças.
+ ll.h <- sum(log(pgamma(offset,
+ shape = alpha.gh,
+ rate = alpha.eXb.h) -
+ pgamma(offset,
+ shape = alpha.gh + alpha,
+ rate = alpha.eXb.h)))
+ ll.a <- sum(log(pgamma(offset,
+ shape = alpha.ga,
+ rate = alpha.eXb.a) -
+ pgamma(offset,
+ shape = alpha.ga + alpha,
+ rate = alpha.eXb.a)))
+ # Verossimilhança total.
+ ll <- sum(ll.h + ll.a)
+ return(-ll)
+}
+
+#-----------------------------------------------------------------------
+# Análise dos jogos do Campeonado Brasileiro.
+
+# Tomando as primeiras rodadas do campeonato.
+db <- subset(cambras, rod <= 10)
+
+# Quantos jogos cada time fez em casa e fora de casa.
+addmargins(cbind(home = xtabs(~home, db),
+ away = xtabs(~away, db)), margin = 2)</code></pre>
+<pre><code>## home away Sum
+## Atlético/GO 6 4 10
+## Atlético/MG 6 4 10
+## Atlético/PR 5 5 10
+## Avaí 5 5 10
+## Botafogo 5 5 10
+## Ceará 5 5 10
+## Corinthians 5 5 10
+## Cruzeiro 4 6 10
+## Flamengo 6 4 10
+## Fluminense 5 5 10
+## Goiás 4 6 10
+## Grêmio 5 5 10
+## Grêmio Prudente 4 6 10
+## Guarani 6 4 10
+## Internacional 5 5 10
+## Palmeiras 6 4 10
+## Santos 4 6 10
+## São Paulo 5 5 10
+## Vasco 4 6 10
+## Vitória 5 5 10</code></pre>
+<pre class="r"><code>subset(db, home == "Fluminense")</code></pre>
+<pre><code>## rod home away h a
+## 2545 2 Fluminense Atlético/GO 1 0
+## 2567 4 Fluminense Flamengo 2 1
+## 2586 6 Fluminense Vitória 2 1
+## 2614 8 Fluminense Grêmio Prudente 1 1
+## 2632 10 Fluminense Cruzeiro 1 0</code></pre>
+<pre class="r"><code># Níveis na mesma ordem?
+all(levels(db$home) == levels(db$away))</code></pre>
+<pre><code>## [1] TRUE</code></pre>
+<pre class="r"><code># Matrizes de delineamento.
+Xh <- model.matrix(~ -1 + home, db) # h: home.
+Xa <- model.matrix(~ -1 + away, db) # a: away.
+
+# Verificação.
+Xha <- Xh - Xa
+db[1:5, c("home", "away")]</code></pre>
+<pre><code>## home away
+## 2535 Botafogo Santos
+## 2536 Atlético/GO Grêmio
+## 2537 Palmeiras Vitória
+## 2538 Flamengo São Paulo
+## 2539 Atlético/MG Vasco</code></pre>
+<pre class="r"><code>print.table(t(Xha[1:5, ]), zero.print = ".")</code></pre>
+<pre><code>## 2535 2536 2537 2538 2539
+## homeAtlético/GO . 1 . . .
+## homeAtlético/MG . . . . 1
+## homeAtlético/PR . . . . .
+## homeAvaí . . . . .
+## homeBotafogo 1 . . . .
+## homeCeará . . . . .
+## homeCorinthians . . . . .
+## homeCruzeiro . . . . .
+## homeFlamengo . . . 1 .
+## homeFluminense . . . . .
+## homeGoiás . . . . .
+## homeGrêmio . -1 . . .
+## homeGrêmio Prudente . . . . .
+## homeGuarani . . . . .
+## homeInternacional . . . . .
+## homePalmeiras . . 1 . .
+## homeSantos -1 . . . .
+## homeSão Paulo . . . -1 .
+## homeVasco . . . . -1
+## homeVitória . . -1 . .</code></pre>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Ajuste do modelos.
+
+# Valores iniciais para o modelo Poisson.
+start <- c(rep(1, 40), 0.5, 0)
+names(start) <- c(paste0("att", 1:20),
+ paste0("def", 1:20),
+ "hfa", "alpha")
+parnames(llgols) <- names(start)
+
+m0 <- mle2(minuslogl = llgols,
+ start = start,
+ data = list(gh = db$h, ga = db$a, Xh = Xh, Xa = Xa),
+ fixed = list(alpha = 0),
+ vecpar = TRUE)
+
+# Valores iniciais para o modelo Gamma-Count.
+start <- coef(m0)
+parnames(llgols) <- names(start)
+
+m2 <- mle2(minuslogl = llgols,
+ start = start,
+ data = list(gh = db$h, ga = db$a, Xh = Xh, Xa = Xa),
+ vecpar = TRUE)
+
+#-----------------------------------------------------------------------
+# Comparando resultados.
+
+# Estimativas dos parâmetros.
+c0 <- data.frame(Pois = coef(m0),
+ GCnt = coef(m2))
+c0</code></pre>
+<pre><code>## Pois GCnt
+## att1 0.6710636 0.8244171
+## att2 1.0703186 1.1678205
+## att3 0.9069446 1.0196363
+## att4 1.4756837 1.5247910
+## att5 1.2437578 1.3125464
+## att6 0.6155143 0.7659650
+## att7 1.1242277 1.2117742
+## att8 0.7911912 0.9226561
+## att9 0.8124429 0.9307868
+## att10 1.0834016 1.1712463
+## att11 0.9826611 1.0995663
+## att12 0.8350496 0.9593742
+## att13 0.9779004 1.0863530
+## att14 0.7199051 0.8534658
+## att15 1.3924217 1.4436142
+## att16 0.7825880 0.9239658
+## att17 1.4342973 1.4774145
+## att18 0.9017386 1.0118619
+## att19 0.4626517 0.6565474
+## att20 0.9483498 1.0649704
+## def1 0.8168877 0.7481349
+## def2 0.4052244 0.3834436
+## def3 0.5907816 0.5442348
+## def4 0.6701880 0.6179746
+## def5 0.7496764 0.6905495
+## def6 2.3037163 1.9448599
+## def7 1.1783698 1.0498939
+## def8 1.4587919 1.2890421
+## def9 1.3024124 1.1641847
+## def10 1.8290198 1.5943779
+## def11 0.9215480 0.8342753
+## def12 0.7755247 0.7121922
+## def13 0.9382413 0.8345326
+## def14 1.0487214 0.9350166
+## def15 0.7085014 0.6570814
+## def16 1.1251003 1.0059033
+## def17 0.7740905 0.7047428
+## def18 1.1060328 0.9955662
+## def19 1.0976406 0.9876222
+## def20 0.9674217 0.8775978
+## hfa 0.4488197 0.3852512
+## alpha 0.0000000 0.5955447</code></pre>
+<pre class="r"><code>xyplot(GCnt ~ Pois, data = c0, aspect = "iso",
+ groups = gsub(x = rownames(c0), "\\d", ""),
+ auto.key = TRUE, grid = TRUE) +
+ layer(panel.abline(a = 0, b = 1))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code># Teste para o parâmetro de dispersão.
+anova(m0, m2)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m0, [llgols]: att1+att2+att3+att4+att5+att6+att7+
+## att8+att9+att10+att11+att12+att13+att14+att15+
+## att16+att17+att18+att19+att20+def1+def2+def3+
+## def4+def5+def6+def7+def8+def9+def10+def11+def12+
+## def13+def14+def15+def16+def17+def18+def19+def20+
+## hfa
+## Model 2: m2, [llgols]: att1+att2+att3+att4+att5+att6+att7+
+## att8+att9+att10+att11+att12+att13+att14+att15+
+## att16+att17+att18+att19+att20+def1+def2+def3+
+## def4+def5+def6+def7+def8+def9+def10+def11+def12+
+## def13+def14+def15+def16+def17+def18+def19+def20+
+## hfa+alpha
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 41 522.30
+## 2 42 509.64 12.654 1 0.0003748 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code># plot(profile(m1, which = "alpha"))
+# plot(profile(m2, which = "alpha"))
+
+# Função de risco.
+al <- exp(coef(m2)[42])
+curve(dgamma(x, al, 1)/(1 - pgamma(x, al, 1)),
+ from = 0, to = 2,
+ xlab = "t",
+ ylab = expression(h(t) == f(t)/(1 - F(t))))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>ci <- rbind(cbind(1, coef(m0)[-42], confint(m0, method = "quad")),
+ cbind(2, coef(m2), confint(m2, method = "quad")))
+ci <- as.data.frame(ci)
+names(ci) <- c("model", "est", "lwr", "upr")
+ci$model <- factor(ci$model, labels = c("Pois", "GCnt"))
+ci$par <- factor(sub(pattern = "\\d+",
+ replacement = "",
+ x = rownames(ci)))
+ci$team <- factor(levels(db$home)[
+ as.numeric(sub(pattern = "\\D+",
+ replacement = "",
+ x = rownames(ci)))])
+
+sb <- subset(ci, par == "att" & model == "GCnt")
+ci$team <- factor(ci$team, levels = sb$team[order(sb$est)])
+
+segplot(team ~ lwr + upr | model,
+ centers = est, data = ci,
+ draw = FALSE, groups = par, gap = 0.2,
+ pch = as.integer(ci$par),
+ key = list(title = "Parâmetro", cex.title = 1.1,
+ type = "o", divide = 1,
+ text = list(c("Ataque", "Defesa")),
+ lines = list(pch = 2:3)),
+ ylab = "Times (ordenados pelo ataque)",
+ xlab = "Estimativa do parâmetro",
+ panel = panel.groups.segplot)</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Gols observados e preditos dos times mandantes e desafiantes nestas
+# rodadas.
+
+gg <-
+rbind(
+ cbind(x = 1,
+ y = db$h,
+ Pois = c(exp(cbind(Xh, -Xa) %*%
+ coef(m0)[1:40] + coef(m0)["hfa"])),
+ GCnt1 = c(exp(cbind(Xh, -Xa) %*%
+ coef(m2)[1:40] + coef(m2)["hfa"])),
+ GCnt2 = fitted.gcnt(lambda = exp(cbind(Xh, -Xa) %*%
+ coef(m2)[1:40] +
+ coef(m2)["hfa"]),
+ alpha = exp(coef(m2)["alpha"]))),
+ cbind(x = 2,
+ y = db$a,
+ Pois = c(exp(cbind(Xa, -Xh) %*% coef(m0)[1:40])),
+ GCnt1 = c(exp(cbind(Xa, -Xh) %*% coef(m2)[1:40])),
+ GCnt2 = fitted.gcnt(lambda = exp(cbind(Xa, -Xh) %*%
+ coef(m2)[1:40]),
+ alpha = exp(coef(m2)["alpha"]))))
+
+# Comparação de observado com predito.
+splom(gg[, -1], groups = gg[, 1]) +
+ layer(panel.abline(a = 0, b = 1))</code></pre>
+<p><img 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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>#-----------------------------------------------------------------------
+# Fazendo previsão dos resultados da rodada a seguir.
+
+levels(db$home)</code></pre>
+<pre><code>## [1] "Atlético/GO" "Atlético/MG" "Atlético/PR"
+## [4] "Avaí" "Botafogo" "Ceará"
+## [7] "Corinthians" "Cruzeiro" "Flamengo"
+## [10] "Fluminense" "Goiás" "Grêmio"
+## [13] "Grêmio Prudente" "Guarani" "Internacional"
+## [16] "Palmeiras" "Santos" "São Paulo"
+## [19] "Vasco" "Vitória"</code></pre>
+<pre class="r"><code># # Na rodada 11 deu Cruzeiro 2x2 Grêmio.
+# i <- which(levels(db$home) %in% c("Cruzeiro", "Grêmio"))
+# levels(db$home)[i]
+
+# Na rodada 11 dei Ceará 0x0 Palmeiras.
+i <- which(levels(db$home) %in% c("Ceará", "Palmeiras"))
+levels(db$home)[i]</code></pre>
+<pre><code>## [1] "Ceará" "Palmeiras"</code></pre>
+<pre class="r"><code># Dois times jogando em território neutro.
+# HomeAttack - AwayDefense
+# AwayAttack - HomeDefense
+alp <- exp(coef(m2)[42])
+beta <- exp(coef(m2)[i] - rev(coef(m2)[20 + i]))
+beta</code></pre>
+<pre><code>## att6 att16
+## 0.7866764 0.3602727</code></pre>
+<pre class="r"><code>exp(-beta)</code></pre>
+<pre><code>## att6 att16
+## 0.4553557 0.6974861</code></pre>
+<pre class="r"><code># Probabilidade dos placares de 0x0, 0x1, ..., 6x6.
+y <- 0:6
+dnn <- lapply(substr(levels(db$home)[i], 0, 3), FUN = paste, y)
+plapois <- outer(dgcnt(y = y, lambda = beta[1], alpha = 1),
+ dgcnt(y = y, lambda = beta[2], alpha = 1),
+ FUN = "*")
+plagcnt <- outer(dgcnt(y = y, lambda = beta[1], alpha = alp),
+ dgcnt(y = y, lambda = beta[2], alpha = alp),
+ FUN = "*")
+dimnames(plapois) <- dnn
+dimnames(plagcnt) <- dnn
+
+print.table(round(plapois, 2), zero.print = ".")</code></pre>
+<pre><code>## Pal 0 Pal 1 Pal 2 Pal 3 Pal 4 Pal 5 Pal 6
+## Cea 0 0.32 0.11 0.02 . . . .
+## Cea 1 0.25 0.09 0.02 . . . .
+## Cea 2 0.10 0.04 0.01 . . . .
+## Cea 3 0.03 0.01 . . . . .
+## Cea 4 0.01 . . . . . .
+## Cea 5 . . . . . . .
+## Cea 6 . . . . . . .</code></pre>
+<pre class="r"><code>print.table(round(plagcnt, 2), zero.print = ".")</code></pre>
+<pre><code>## Pal 0 Pal 1 Pal 2 Pal 3 Pal 4 Pal 5 Pal 6
+## Cea 0 0.43 0.09 . . . . .
+## Cea 1 0.32 0.07 . . . . .
+## Cea 2 0.07 0.01 . . . . .
+## Cea 3 0.01 . . . . . .
+## Cea 4 . . . . . . .
+## Cea 5 . . . . . . .
+## Cea 6 . . . . . . .</code></pre>
+<pre class="r"><code># Olhando só para os empates.
+round(cbind(Pois = diag(plapois),
+ GCnt = diag(plagcnt)), 3)</code></pre>
+<pre><code>## Pois GCnt
+## [1,] 0.318 0.428
+## [2,] 0.090 0.067
+## [3,] 0.006 0.001
+## [4,] 0.000 0.000
+## [5,] 0.000 0.000
+## [6,] 0.000 0.000
+## [7,] 0.000 0.000</code></pre>
+<pre class="r"><code># Draw - Win - Lose.
+dwl <- rbind(Pois = c(sum(diag(plapois)),
+ sum(plapois[lower.tri(plapois)]),
+ sum(plapois[upper.tri(plapois)])),
+ GCnt = c(sum(diag(plagcnt)),
+ sum(plagcnt[lower.tri(plagcnt)]),
+ sum(plagcnt[upper.tri(plagcnt)])))
+colnames(dwl) <- sprintf(paste(levels(db$home)[i], collapse = " %s "),
+ c("=", ">", "<"))
+t(dwl)</code></pre>
+<pre><code>## Pois GCnt
+## Ceará = Palmeiras 0.4142014 0.49552479
+## Ceará > Palmeiras 0.4288175 0.40618126
+## Ceará < Palmeiras 0.1569623 0.09829394</code></pre>
+</div>
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+<hr class="footer" />
+<center>
+ <table class="footer" width="100%">
+ <tr>
+ <td colspan="2" align="none">
+ <h4><em>
+ Modelos de Regressão para Dados de Contagem com o R
+ </em></h4>
+ </td>
+ </tr>
+ <tr>
+ <td width="50%"><a href="http://rbras2016.ufba.br/">
+ 61 RBRAS
+ </a></td>
+ <td width="50%" align="right">
+ <a href="http://www.est.ufpr.br">
+ Departamento de Estatística - UFPR
+ </a></td>
+ </tr>
+ <tr>
+ <td width="50%">23 a 25 de Maio de 2016</td>
+ <td width="50%" align="right">
+ <a href="http://leg.ufpr.br/doku.php">LEG</a>,
+ <a href="http://www.pet.est.ufpr.br/">PET Estatística</a>
+ </td>
+ </tr>
+ <tr>
+ <td width="50%">Salvador - Bahia</td>
+ <td width="50%" align="right">
+ <a href="https://github.com/leg-ufpr/MRDCr">
+ github.com/leg-ufpr/MRDCr
+ </a></td>
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+
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diff --git a/vignettes/v06_gamma_count.Rmd b/vignettes/v06_gamma_count.Rmd
index 36d4f68..04b1b54 100644
--- a/vignettes/v06_gamma_count.Rmd
+++ b/vignettes/v06_gamma_count.Rmd
@@ -97,20 +97,54 @@ $$
Como
$$
-F_n(T) = G(n\alpha, \beta) =
+F_n(T) = G(n\alpha, \beta T) =
\frac{1}{\Gamma(n\alpha)}
\int_{0}^{T} t^{n\alpha-1}\cdot\exp\{-\beta t\}\, \text{d}t,
$$
podemos escrever $\Pr(N = n)$ como sendo a diferença de acumuladas da
Gama,
$$
-\Pr(N = n) = G(n\alpha, \beta) - G((n+1)\alpha, \beta).
+\Pr(N = n) = G(n\alpha, \beta T) - G((n+1)\alpha, \beta T).
$$
Em resumo, a distribuição para o número de eventos, quando se assume a
distribuição do intervalo entre eventos é Gamma, é resultado da
diferença de duas acumuladas da distribuição Gamma.
+A média da variável de contagem é resultado de
+$$
+\begin{align*}
+ E(N) &= \sum_{i=0}^{\infty} i\cdot \Pr(i) \\
+ &= \sum_{i=1}^{\infty} i\cdot \Pr(i)\\
+ &= \sum_{i=1}^{\infty} G(i\alpha, \beta T).\\
+\end{align*}
+$$
+
+Para um $T$ cada vez maior, tem-se que
+$$
+ N(T)\; \dot{\sim}\; \text{Normal}\left(
+ \frac{\beta}{\alpha},
+ \frac{\beta}{\alpha^2}\right).
+$$
+
+Considere que
+$$
+ \frac{\beta}{\alpha} = \exp\{x^{\top}\theta\} \Rightarrow
+ \beta = \alpha \exp\{x^{\top}\theta\}.
+$$
+
+Essa parametrização produz um modelo de regressão para a média do tempo
+entre eventos definida por
+$$
+ \text{E}(\tau|x) = \frac{\alpha}{\beta} = \exp\{-x^{\top}\theta\}.
+$$
+
+O modelo de regressão é para o tempo entre eventos ($\tau$) e não
+diretamente para contagem porque, a menos que $\alpha = 1$, não certo
+que $\text{E}(N_i|x_i) = [\text{E}(\tau_i|x_i)]^{-1}$. Dessa maneira,
+$-\theta$ mede a variação percentual do tempo médio entre eventos para
+uma unidade de $x$.
+
```{r, message=FALSE, error=FALSE, warning=FALSE}
# Definições da sessão.
library(lattice)
@@ -1215,6 +1249,237 @@ xyplot(nema/off ~ cult, data = nematoide,
## Número de Gols por Partida de Futebol ##
+Análise do número de gols feitos pelos times mandantes e desafiantes no
+Campeonato Brasileiro de 2010.
+
```{r}
+#-----------------------------------------------------------------------
+# Log-verossimilhança para o número de gols dos times em uma partida.
+
+llgols <- function(theta, gh, ga, Xh, Xa){
+ # theta: Vetor de parâmetros.
+ # gh, ga: Gols do mandante e do visitante.
+ # Xh, Xa: Matrizes de incidência das partidas.
+ gamma <- 1:20 # Parâmetros de ataque.
+ delta <- 21:40 # Parâmetros de defesa.
+ omega <- 41 # Vantagem do mando de campo.
+ alpha <- 42 # Dispersão da Gamma-Count. Se 0 então Poisson.
+ #----------------------------------------
+ # Preditor dos times mandantes e desafiante.
+ eta.h <- (Xh %*% theta[gamma] - Xa %*% theta[delta]) + theta[omega]
+ eta.a <- (Xa %*% theta[gamma] - Xh %*% theta[delta])
+ # Parâmetro de dispersão.
+ alpha <- exp(theta[alpha])
+ #----------------------------------------
+ # Quantidades auxiliares.
+ alpha.gh <- alpha * gh
+ alpha.eXb.h <- alpha * exp(eta.h)
+ alpha.ga <- alpha * ga
+ alpha.eXb.a <- alpha * exp(eta.a)
+ offset <- 1
+ #-------------------------------------------------------------------
+ # Verossimilhanças.
+ ll.h <- sum(log(pgamma(offset,
+ shape = alpha.gh,
+ rate = alpha.eXb.h) -
+ pgamma(offset,
+ shape = alpha.gh + alpha,
+ rate = alpha.eXb.h)))
+ ll.a <- sum(log(pgamma(offset,
+ shape = alpha.ga,
+ rate = alpha.eXb.a) -
+ pgamma(offset,
+ shape = alpha.ga + alpha,
+ rate = alpha.eXb.a)))
+ # Verossimilhança total.
+ ll <- sum(ll.h + ll.a)
+ return(-ll)
+}
+
+#-----------------------------------------------------------------------
+# Análise dos jogos do Campeonado Brasileiro.
+
+# Tomando as primeiras rodadas do campeonato.
+db <- subset(cambras, rod <= 10)
+
+# Quantos jogos cada time fez em casa e fora de casa.
+addmargins(cbind(home = xtabs(~home, db),
+ away = xtabs(~away, db)), margin = 2)
+
+subset(db, home == "Fluminense")
+
+# Níveis na mesma ordem?
+all(levels(db$home) == levels(db$away))
+
+# Matrizes de delineamento.
+Xh <- model.matrix(~ -1 + home, db) # h: home.
+Xa <- model.matrix(~ -1 + away, db) # a: away.
+
+# Verificação.
+Xha <- Xh - Xa
+db[1:5, c("home", "away")]
+print.table(t(Xha[1:5, ]), zero.print = ".")
+
+#-----------------------------------------------------------------------
+# Ajuste do modelos.
+
+# Valores iniciais para o modelo Poisson.
+start <- c(rep(1, 40), 0.5, 0)
+names(start) <- c(paste0("att", 1:20),
+ paste0("def", 1:20),
+ "hfa", "alpha")
+parnames(llgols) <- names(start)
+
+m0 <- mle2(minuslogl = llgols,
+ start = start,
+ data = list(gh = db$h, ga = db$a, Xh = Xh, Xa = Xa),
+ fixed = list(alpha = 0),
+ vecpar = TRUE)
+
+# Valores iniciais para o modelo Gamma-Count.
+start <- coef(m0)
+parnames(llgols) <- names(start)
+
+m2 <- mle2(minuslogl = llgols,
+ start = start,
+ data = list(gh = db$h, ga = db$a, Xh = Xh, Xa = Xa),
+ vecpar = TRUE)
+
+#-----------------------------------------------------------------------
+# Comparando resultados.
+
+# Estimativas dos parâmetros.
+c0 <- data.frame(Pois = coef(m0),
+ GCnt = coef(m2))
+c0
+
+xyplot(GCnt ~ Pois, data = c0, aspect = "iso",
+ groups = gsub(x = rownames(c0), "\\d", ""),
+ auto.key = TRUE, grid = TRUE) +
+ layer(panel.abline(a = 0, b = 1))
+
+# Teste para o parâmetro de dispersão.
+anova(m0, m2)
+
+# plot(profile(m1, which = "alpha"))
+# plot(profile(m2, which = "alpha"))
+
+# Função de risco.
+al <- exp(coef(m2)[42])
+curve(dgamma(x, al, 1)/(1 - pgamma(x, al, 1)),
+ from = 0, to = 2,
+ xlab = "t",
+ ylab = expression(h(t) == f(t)/(1 - F(t))))
+
+ci <- rbind(cbind(1, coef(m0)[-42], confint(m0, method = "quad")),
+ cbind(2, coef(m2), confint(m2, method = "quad")))
+ci <- as.data.frame(ci)
+names(ci) <- c("model", "est", "lwr", "upr")
+ci$model <- factor(ci$model, labels = c("Pois", "GCnt"))
+ci$par <- factor(sub(pattern = "\\d+",
+ replacement = "",
+ x = rownames(ci)))
+ci$team <- factor(levels(db$home)[
+ as.numeric(sub(pattern = "\\D+",
+ replacement = "",
+ x = rownames(ci)))])
+
+sb <- subset(ci, par == "att" & model == "GCnt")
+ci$team <- factor(ci$team, levels = sb$team[order(sb$est)])
+
+segplot(team ~ lwr + upr | model,
+ centers = est, data = ci,
+ draw = FALSE, groups = par, gap = 0.2,
+ pch = as.integer(ci$par),
+ key = list(title = "Parâmetro", cex.title = 1.1,
+ type = "o", divide = 1,
+ text = list(c("Ataque", "Defesa")),
+ lines = list(pch = 2:3)),
+ ylab = "Times (ordenados pelo ataque)",
+ xlab = "Estimativa do parâmetro",
+ panel = panel.groups.segplot)
+
+#-----------------------------------------------------------------------
+# Gols observados e preditos dos times mandantes e desafiantes nestas
+# rodadas.
+
+gg <-
+rbind(
+ cbind(x = 1,
+ y = db$h,
+ Pois = c(exp(cbind(Xh, -Xa) %*%
+ coef(m0)[1:40] + coef(m0)["hfa"])),
+ GCnt1 = c(exp(cbind(Xh, -Xa) %*%
+ coef(m2)[1:40] + coef(m2)["hfa"])),
+ GCnt2 = fitted.gcnt(lambda = exp(cbind(Xh, -Xa) %*%
+ coef(m2)[1:40] +
+ coef(m2)["hfa"]),
+ alpha = exp(coef(m2)["alpha"]))),
+ cbind(x = 2,
+ y = db$a,
+ Pois = c(exp(cbind(Xa, -Xh) %*% coef(m0)[1:40])),
+ GCnt1 = c(exp(cbind(Xa, -Xh) %*% coef(m2)[1:40])),
+ GCnt2 = fitted.gcnt(lambda = exp(cbind(Xa, -Xh) %*%
+ coef(m2)[1:40]),
+ alpha = exp(coef(m2)["alpha"]))))
+
+# Comparação de observado com predito.
+splom(gg[, -1], groups = gg[, 1]) +
+ layer(panel.abline(a = 0, b = 1))
+
+#-----------------------------------------------------------------------
+# Fazendo previsão dos resultados da rodada a seguir.
+
+levels(db$home)
+
+# # Na rodada 11 deu Cruzeiro 2x2 Grêmio.
+# i <- which(levels(db$home) %in% c("Cruzeiro", "Grêmio"))
+# levels(db$home)[i]
+
+# Na rodada 11 dei Ceará 0x0 Palmeiras.
+i <- which(levels(db$home) %in% c("Ceará", "Palmeiras"))
+levels(db$home)[i]
+
+# Dois times jogando em território neutro.
+# HomeAttack - AwayDefense
+# AwayAttack - HomeDefense
+alp <- exp(coef(m2)[42])
+beta <- exp(coef(m2)[i] - rev(coef(m2)[20 + i]))
+beta
+
+exp(-beta)
+
+# Probabilidade dos placares de 0x0, 0x1, ..., 6x6.
+y <- 0:6
+dnn <- lapply(substr(levels(db$home)[i], 0, 3), FUN = paste, y)
+plapois <- outer(dgcnt(y = y, lambda = beta[1], alpha = 1),
+ dgcnt(y = y, lambda = beta[2], alpha = 1),
+ FUN = "*")
+plagcnt <- outer(dgcnt(y = y, lambda = beta[1], alpha = alp),
+ dgcnt(y = y, lambda = beta[2], alpha = alp),
+ FUN = "*")
+dimnames(plapois) <- dnn
+dimnames(plagcnt) <- dnn
+
+print.table(round(plapois, 2), zero.print = ".")
+print.table(round(plagcnt, 2), zero.print = ".")
+
+# Olhando só para os empates.
+round(cbind(Pois = diag(plapois),
+ GCnt = diag(plagcnt)), 3)
+
+# Draw - Win - Lose.
+dwl <- rbind(Pois = c(sum(diag(plapois)),
+ sum(plapois[lower.tri(plapois)]),
+ sum(plapois[upper.tri(plapois)])),
+ GCnt = c(sum(diag(plagcnt)),
+ sum(plagcnt[lower.tri(plagcnt)]),
+ sum(plagcnt[upper.tri(plagcnt)])))
+colnames(dwl) <- sprintf(paste(levels(db$home)[i], collapse = " %s "),
+ c("=", ">", "<"))
+t(dwl)
+```
+
+```{r, eval=FALSE, include=FALSE}
opts_chunk$set(eval = FALSE)
```
--
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