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#20794d; } code span.va { color: #111111; } code span.vs { color: #20794d; } code span.wa { color: #5e5e5e; font-style: italic; } /style>script>// remove everything from pandoc code styles _except_ for code span colors(function() {  var sheets  document.styleSheets;  for (var i  0; i  sheets.length; i++) {    if (sheetsi.ownerNode.datasetorigin ! pandoc) continue;    try { var rules  sheetsi.cssRules; } catch (e) { continue; }    var j  0;    while (j  rules.length) {      var rule  rulesj;      if (/^code span/.test(rule.selectorText)) {        j++;        continue;      }      sheetsi.deleteRule(j);    }  }})();/script>style>code, pre { overflow: auto; }pre code, pre code:not(class) { white-space: unset; }/style>/head>body>main>header>h1 idtitle classtoc-ignore>CASE 3 - eLAB Business Case/h1>p iddate>08 June 2023/p>/header>h3 idauthors>Authors:/h3>ul>li>Cornelius Kötting/li>li>Jakub Czubaszek/li>li>Tshiamo Kgosidiile/li>li>Ajay Rayudu/li>/ul>h3 idtutor-hugo-schyns>Tutor: Hugo Schyns/h3>h2 idintroduction>1. Introduction/h2>p>Amidst the contemporary financial vista, modest interest yields onsavings accounts have driven an upsurge of investors to venture beyondconventional avenues in the quest for enhanced capital growth. Thisdrift has triggered a substantial wave of both individual andinstitutional investors navigating towards the stock market’s shores.While these turbulent waters offer the tantalizing promise of elevatedreturns, they inherently harbor greater risks attributed to theirvolatile disposition. Hence, it becomes critically essential to craft afinely balanced and optimized investment portfolio, a bulwark againstthese uncertainties, designed to boost potential returns. The conceptualframeworks of Mean-Variance, Capital Asset Pricing Model (CAPM), andShrinkage Optimization emerge as quintessential instruments in thisendeavor. Our main quest in this assignment is to delve deeper intothese financial paradigms and their practical utility in the realm ofportfolio optimization. We shall unfurl these techniques using R, apowerhouse language for statistical computation and graphicalvisualization. R’s flexible and robust environment for datamanipulation, simulation execution, and crafting intricatevisualizations has made it a cherished tool in the financial sphere.Taking center stage in modern portfolio theory is the Mean-Varianceportfolio theory, a brainchild of Harry Markowitz. This theory is ourguide in delineating the delicate balance between the expected returnand the inherent risk (denoted in terms of variance) in investmentdecisions. The Capital Asset Pricing Model (CAPM), another cornerstonein financial theory, amplifies the Mean-Variance doctrine by injectingthe correlation between expected return and systematic risk (beta). Thismodel sheds light on the process of pricing an asset in tandem with itsrisk concerning the overarching market. Lastly, we encounter ShrinkageOptimization, a relatively newer entrant, which sets its sights onenhancing the estimation of the portfolio covariance matrix. Bymaneuvering the sample covariance matrix towards a structured estimator– a process quaintly termed “shrinking” – this technique aims to yieldmore steadfast and precise portfolio optimizations. Upon the conclusionof this assignment, we shall be equipped with a deeper understanding ofthese methodologies, coupled with hands-on experience in deploying themin R. This acquired knowledge will serve as an invaluable compass in thecrafting, optimizing, and management of better portfolios, enabling usto skillfully traverse the tempestuous waters of the stock market./p>h3 iddata-import>1.1 Data import/h3>p>Before any analysis can be conducted, we need to import stock data tolater construct and optimize the portfolios. We received a list of 20stock tickers listed either on NYSE or NASDAQ, as well as the ticker’SPY, which is an ETF that tracks the S&P500 index, which we willuse for market return and volatility. The data was imported in dailyformat from 31/12/2002 until now. For improved efficiency, the data wasdownloaded once from Yahoo Finance and stored on our local machines forlater usage. The code can be seen below:/p>div classsourceCode idcb1>pre classsourceCode r>code classsourceCode r>span idcb1-1>a href#cb1-1 aria-hiddentrue tabindex-1>/a>tickers span classot><-/span> span classfu>read.csv/span>(span classst>"/Users/cornelius/Downloads/teamticker.csv"/span>)/span>span idcb1-2>a href#cb1-2 aria-hiddentrue tabindex-1>/a>/span>span idcb1-3>a href#cb1-3 aria-hiddentrue tabindex-1>/a>team span classot><-/span> span classst>"2B"/span>/span>span idcb1-4>a href#cb1-4 aria-hiddentrue tabindex-1>/a>ticker_pick span classot><-/span> span classfu>paste0/span>(span classst>"X"/span>, span classst>"2B"/span>)/span>span idcb1-5>a href#cb1-5 aria-hiddentrue tabindex-1>/a>tickers_used span classot><-/span> span classfu>c/span>(tickersticker_pick)/span>span idcb1-6>a href#cb1-6 aria-hiddentrue tabindex-1>/a>/span>span idcb1-7>a href#cb1-7 aria-hiddentrue tabindex-1>/a>datafile span classot><-/span> span classfu>paste0/span>(span classst>"returns_"/span>, ticker_pick, span classst>".csv"/span>)/span>span idcb1-8>a href#cb1-8 aria-hiddentrue tabindex-1>/a>/span>span idcb1-9>a href#cb1-9 aria-hiddentrue tabindex-1>/a>span classcf>if/span>(span classsc>!/span>span classfu>file.exists/span>(datafile)) {/span>span idcb1-10>a href#cb1-10 aria-hiddentrue tabindex-1>/a>  span classfu>getSymbols/span>(tickers_usedspan classdv>1/span>, span classat>from /span> span classst>"2002-12-31"/span>)/span>span idcb1-11>a href#cb1-11 aria-hiddentrue tabindex-1>/a>  returns_stocks span classot><-/span> (span classfu>do.call/span>(merge, span classfu>lapply/span>(tickers_usedspan classdv>1/span>, span classcf>function/span>(x) span classfu>Delt/span>(span classfu>Ad/span>(span classfu>get/span>(x))))))/span>span idcb1-12>a href#cb1-12 aria-hiddentrue tabindex-1>/a>  span classfu>colnames/span>(returns_stocks) span classot><-/span> tickers_usedspan classdv>1/span>/span>span idcb1-13>a href#cb1-13 aria-hiddentrue tabindex-1>/a>  returns_stocks span classot><-/span> span classdv>100/span>span classsc>*/span>returns_stocksspan classst>"2003/"/span>/span>span idcb1-14>a href#cb1-14 aria-hiddentrue tabindex-1>/a>  span classfu>write.csv/span>(span classfu>as.matrix/span>(returns_stocks), span classat>file /span> datafile)/span>span idcb1-15>a href#cb1-15 aria-hiddentrue tabindex-1>/a>  /span>span idcb1-16>a href#cb1-16 aria-hiddentrue tabindex-1>/a>} span classcf>else/span>{/span>span idcb1-17>a href#cb1-17 aria-hiddentrue tabindex-1>/a>  returns_stocks span classot><-/span> span classfu>read.csv/span>(datafile, span classat>header /span> span classcn>TRUE/span>)/span>span idcb1-18>a href#cb1-18 aria-hiddentrue tabindex-1>/a>}/span>span idcb1-19>a href#cb1-19 aria-hiddentrue tabindex-1>/a>returns_stocks span classot><-/span> returns_stocks, span classfu>colSums/span>(span classfu>is.na/span>(returns_stocks)) span classsc>/span> span classdv>0/span>/span>/code>/pre>/div>h3 iddata-preparation>2.Data preparation/h3>p>After successfully importing the data, we had to prepare it for lateranalysis and modelling. This includes setting a risk aversion parameter,annualizing the data under the assumption that a year has 252 tradingdays on average. We also calculated the volatility of the individualstocks./p>div classsourceCode idcb2>pre classsourceCode r>code classsourceCode r>span idcb2-1>a href#cb2-1 aria-hiddentrue tabindex-1>/a>span classco># Setting risk aversion parameter/span>/span>span idcb2-2>a href#cb2-2 aria-hiddentrue tabindex-1>/a>gamma span classot><-/span> span classdv>3/span>/span>span idcb2-3>a href#cb2-3 aria-hiddentrue tabindex-1>/a>/span>span idcb2-4>a href#cb2-4 aria-hiddentrue tabindex-1>/a>span classco># Split the data into two sub-samples: odd and even observations/span>/span>span idcb2-5>a href#cb2-5 aria-hiddentrue tabindex-1>/a>/span>span idcb2-6>a href#cb2-6 aria-hiddentrue tabindex-1>/a>even span classot><-/span> span classdv>2/span>span classsc>*/span>span classfu>seq/span>(span classfu>nrow/span>(returns_stocks)span classsc>//span>span classdv>2/span>)/span>span idcb2-7>a href#cb2-7 aria-hiddentrue tabindex-1>/a>odd span classot><-/span> even span classsc>-/span>span classdv>1/span>/span>span idcb2-8>a href#cb2-8 aria-hiddentrue tabindex-1>/a>returns_stocks_odd span classot><-/span> returns_stocksodd,span classsc>-/span>span classdv>1/span>/span>span idcb2-9>a href#cb2-9 aria-hiddentrue tabindex-1>/a>returns_stocks_even span classot><-/span> returns_stockseven,span classsc>-/span>span classdv>1/span>/span>span idcb2-10>a href#cb2-10 aria-hiddentrue tabindex-1>/a>/span>span idcb2-11>a href#cb2-11 aria-hiddentrue tabindex-1>/a>span classco># Calculate means and variances/span>/span>span idcb2-12>a href#cb2-12 aria-hiddentrue tabindex-1>/a>mu_odd span classot><-/span> span classdv>252/span>span classsc>*/span>span classfu>colMeans/span>(returns_stocks_odd, span classat>na.rm /span> span classcn>TRUE/span>)/span>span idcb2-13>a href#cb2-13 aria-hiddentrue tabindex-1>/a>mu_even span classot><-/span> span classdv>252/span>span classsc>*/span>span classfu>colMeans/span>(returns_stocks_even, span classat>na.rm /span> span classcn>TRUE/span>)/span>span idcb2-14>a href#cb2-14 aria-hiddentrue tabindex-1>/a>/span>span idcb2-15>a href#cb2-15 aria-hiddentrue tabindex-1>/a>sigma_odd span classot><-/span> span classdv>252/span>span classsc>*/span>span classfu>cov/span>(returns_stocks_odd)/span>span idcb2-16>a href#cb2-16 aria-hiddentrue tabindex-1>/a>sigma_even span classot><-/span> span classdv>252/span>span classsc>*/span>span classfu>cov/span>(returns_stocks_even)/span>span idcb2-17>a href#cb2-17 aria-hiddentrue tabindex-1>/a>/span>span idcb2-18>a href#cb2-18 aria-hiddentrue tabindex-1>/a>span classco>#Standard deviation/span>/span>span idcb2-19>a href#cb2-19 aria-hiddentrue tabindex-1>/a>sd_odd span classot><-/span> span classfu>sqrt/span>(span classdv>252/span>)span classsc>*/span>span classfu>apply/span>(returns_stocks_odd,span classdv>2/span>,sd)  /span>span idcb2-20>a href#cb2-20 aria-hiddentrue tabindex-1>/a>sd_even span classot><-/span> span classfu>sqrt/span>(span classdv>252/span>)span classsc>*/span>span classfu>apply/span>(returns_stocks_even,span classdv>2/span>,sd)  /span>/code>/pre>/div>h3 idportfolio-construction>3. Portfolio construction/h3>h4 idvisualizations>3.1 Visualizations/h4>p>Before we constructed portfolios, we wanted investigate possibledifferences between odd and even samples. To accomplish this, we createdtwo graphs, one comparing means of the odd sample against the mean ofthe even sample. The second graph does the same, but instead of means wecompare the standard deviation (volatility)./p>h5 idodd-means-vs.-even-means>3.1.1 Odd Means vs. Even Means/h5>div classsourceCode idcb3>pre classsourceCode r>code classsourceCode r>span idcb3-1>a href#cb3-1 aria-hiddentrue tabindex-1>/a>span classco>#Creating new dataframe for ggplot graph/span>/span>span idcb3-2>a href#cb3-2 aria-hiddentrue tabindex-1>/a>ggplot_data_1 span classot><-/span> span classfu>data.frame/span>(mu_odd, mu_even)/span>span idcb3-3>a href#cb3-3 aria-hiddentrue tabindex-1>/a>span classfu>ggplot/span>(ggplot_data_1, span classfu>aes/span>(span classat>x /span> mu_odd, span classat>y /span> mu_even)) span classsc>+/span> /span>span idcb3-4>a href#cb3-4 aria-hiddentrue tabindex-1>/a>  span classfu>geom_point/span>() span classsc>+/span>/span>span idcb3-5>a href#cb3-5 aria-hiddentrue tabindex-1>/a>  span classfu>geom_abline/span>(span classat>intercept /span> span classdv>0/span>, span classat>slope /span> span classdv>1/span>, span classat>color /span> span classst>"red"/span>, span classat>linetype /span> span classst>"dashed"/span>) span classsc>+/span>/span>span idcb3-6>a href#cb3-6 aria-hiddentrue tabindex-1>/a>  span classfu>labs/span>(span classat>x /span> span classst>"Mean - Odd Observations"/span>, span classat>y /span> span classst>"Mean - Even Observations"/span>, span classat>title /span> span classst>"Comparison of Means"/span>) span classsc>+/span>/span>span idcb3-7>a href#cb3-7 aria-hiddentrue tabindex-1>/a>  span classfu>theme_minimal/span>()/span>/code>/pre>/div>p>img srcdata:image/png;base64,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 width960 />As stated before, the graph above compares means between the twosamples. One can observe, that while some observations are close to thered line (yx), most are scattered in the plot without a distinctpattern, suggesting that there are differences in the means between oddand even samples. Furthermore, the vast majority of observations arelocated below the red line, suggesting that the mean returns aregenerally higher in the even sample opposed to the odd sample. We cannotinfer a specific reason for this difference, without further analysisthat would go beyond the scope of this assignment. A possibleexplanation could be that since our data spans two decades, that the oddand even samples are capturing different parts of the year and thereforeexhibiting seasonal effects./p>h5 idodd-standard-deviations-vs.-even-standard-deviations>3.1.2 OddStandard deviations vs. Even Standard deviations/h5>div classsourceCode idcb4>pre classsourceCode r>code classsourceCode r>span idcb4-1>a href#cb4-1 aria-hiddentrue tabindex-1>/a>span classco>#Creating new dataframe for ggplot graph/span>/span>span idcb4-2>a href#cb4-2 aria-hiddentrue tabindex-1>/a>ggplot_data_2 span classot><-/span> span classfu>data.frame/span>(sd_odd, sd_even)/span>span idcb4-3>a href#cb4-3 aria-hiddentrue tabindex-1>/a>span classfu>ggplot/span>(ggplot_data_2, span classfu>aes/span>(span classat>x /span> sd_odd, span classat>y /span> sd_even)) span classsc>+/span> /span>span idcb4-4>a href#cb4-4 aria-hiddentrue tabindex-1>/a>  span classfu>geom_point/span>() span classsc>+/span>/span>span idcb4-5>a href#cb4-5 aria-hiddentrue tabindex-1>/a>  span classfu>geom_abline/span>(span classat>intercept /span> span classdv>0/span>, span classat>slope /span> span classdv>1/span>, span classat>color /span> span classst>"red"/span>, span classat>linetype /span> span classst>"dashed"/span>) span classsc>+/span>/span>span idcb4-6>a href#cb4-6 aria-hiddentrue tabindex-1>/a>  span classfu>labs/span>(span classat>x /span> span classst>"Std Dev - Odd Observations"/span>, span classat>y /span> span classst>"Std Dev - Even Observations"/span>, span classat>title /span> span classst>"Comparison of Standard Deviations"/span>) span classsc>+/span>/span>span idcb4-7>a href#cb4-7 aria-hiddentrue tabindex-1>/a>  span classfu>theme_minimal/span>()/span>/code>/pre>/div>p>img 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 width960 />The second graph above visualizes the relationship between the standarddeviations between the two samples. All observations are on the line orvery close to it. This suggests that the risk or volatility of thestocks, measured in standard deviation is not significantly differentbetween odd and even observations. If a large difference existed thiscould point to potential volatility clustering, which is not the casehere./p>h4 idportfolio-construction-1>3.2 Portfolio construction/h4>p>Here we stand, ready to dive into the upcoming exploration ofportfolio creation, a task based on a bedrock of previously curatedstock data. And the tool at our disposal? None other than the process ofquadratic programming. In the realm of mathematical optimization, thismethod emerges as a key player. It essentially deals with an objectivefunction, quadratic in nature, that is subject to amplification orreduction within certain linear constraints. Why exactly quadraticprogramming, you ask? It’s all down to its natural alignment with thetenets of Modern Portfolio Theory (MPT), as proposed by Markowitz. It’sa principle where an investor’s goal is to strike a balance—minimizerisk for a specific level of expected return, or alternatively, maximizereturn for a specific degree of risk. In our case, quadratic programmingsteps in to tame the variance, a marker of risk in our portfolio, andkeep it under control, subject to specific conditions. One suchcondition is where the magical solve.QP() function, a part of thequadprog package, steps in. We employ this function to minimizeportfolio variance. The constraints it operates within are that thecombined weight of all stocks in the portfolio equals one, and none ofthe weights are negative—thus, prohibiting short selling. When callingthe solve.QP() function, it’s done as follows: solve.QP(Dmat, dvec,Amat, bvec) Here, Dmat is a symmetric matrix, doubling up the covariancematrix of the stock returns. It presents the variances of stock returnsdiagonally, while showcasing the covariances between each pair of stocksoff-diagonally. The dvec is a vector reflecting expected returns. TheAmat, on the other hand, is a matrix personifying the constraints of ouroptimization dilemma. Every row in Amat carries a linear inequalityconstraint with its values reflecting the coefficients of thisinequality. The bvec is a vector demarcating the far side of the linearinequality constraints. The requirements, which state that the portfolioweights’ sum equals one and that no weight is negative, are personifiedin Amat and bvec components. After working out the weights for eachstock in the portfolio, we aim to minimize the risk for a certain levelof expected return. Following this, we calculate both the portfolio’sreturn and its volatility, in the context of both in-sample andout-of-sample scenarios. We further explore the performance of theportfolio, allowing for short sales. The final step of our journeyinvolves an evaluation of the portfolio’s performance. We do this bycalculating the Sharpe Ratio, a risk-adjusted return measure. This ratiorepresents the average return over the risk-free rate per unit of totalrisk, which, in this case, is volatility. A higher Sharpe Ratio ispreferable, signifying a higher return for the same level of risk. Theresults can be seen in the tables below the code:/p>div classsourceCode idcb5>pre classsourceCode r>code classsourceCode r>span idcb5-1>a href#cb5-1 aria-hiddentrue tabindex-1>/a>span classco># Number of stocks/span>/span>span idcb5-2>a href#cb5-2 aria-hiddentrue tabindex-1>/a>N span classot><-/span> span classfu>ncol/span>(returns_stocks_odd)/span>span idcb5-3>a href#cb5-3 aria-hiddentrue tabindex-1>/a>/span>span idcb5-4>a href#cb5-4 aria-hiddentrue tabindex-1>/a>span classco># Vector of ones/span>/span>span idcb5-5>a href#cb5-5 aria-hiddentrue tabindex-1>/a>iota span classot><-/span> span classfu>rep/span>(span classdv>1/span>, N)/span>span idcb5-6>a href#cb5-6 aria-hiddentrue tabindex-1>/a>/span>span idcb5-7>a href#cb5-7 aria-hiddentrue tabindex-1>/a>span classco># Identity matrix of size N/span>/span>span idcb5-8>a href#cb5-8 aria-hiddentrue tabindex-1>/a>Imat span classot><-/span> span classfu>diag/span>(N)/span>span idcb5-9>a href#cb5-9 aria-hiddentrue tabindex-1>/a>w0 span classot><-/span> span classdv>1/span>/span>span idcb5-10>a href#cb5-10 aria-hiddentrue tabindex-1>/a>span classco># Vector of zeros/span>/span>span idcb5-11>a href#cb5-11 aria-hiddentrue tabindex-1>/a>nulvec span classot><-/span> span classfu>rep/span>(span classdv>0/span>, N)/span>span idcb5-12>a href#cb5-12 aria-hiddentrue tabindex-1>/a>/span>span idcb5-13>a href#cb5-13 aria-hiddentrue tabindex-1>/a>A span classot>/span> span classfu>as.matrix/span>(span classfu>cbind/span>(iota, Imat))/span>span idcb5-14>a href#cb5-14 aria-hiddentrue tabindex-1>/a>b span classot>/span> span classfu>as.matrix/span>(span classfu>c/span>(w0, nulvec))/span>span idcb5-15>a href#cb5-15 aria-hiddentrue tabindex-1>/a>/span>span idcb5-16>a href#cb5-16 aria-hiddentrue tabindex-1>/a>span classco># Solve the model/span>/span>span idcb5-17>a href#cb5-17 aria-hiddentrue tabindex-1>/a>noshort_odd span classot>/span> span classfu>solve.QP/span>(sigma_oddspan classsc>*/span>gamma, mu_odd, span classat>Amat/span>A, span classat>bvec/span>b, span classat>meq/span>span classdv>1/span>)/span>span idcb5-18>a href#cb5-18 aria-hiddentrue tabindex-1>/a>w_odd span classot><-/span> noshort_oddspan classsc>$/span>solution/span>span idcb5-19>a href#cb5-19 aria-hiddentrue tabindex-1>/a>span classco># Solve the model/span>/span>span idcb5-20>a href#cb5-20 aria-hiddentrue tabindex-1>/a>noshort_even span classot>/span> span classfu>solve.QP/span>(sigma_evenspan classsc>*/span>gamma, mu_even, span classat>Amat/span>A, span classat>bvec/span>b, span classat>meq/span>span classdv>1/span>)/span>span idcb5-21>a href#cb5-21 aria-hiddentrue tabindex-1>/a>/span>span idcb5-22>a href#cb5-22 aria-hiddentrue tabindex-1>/a>w_even span classot><-/span> noshort_evenspan classsc>$/span>solution/span>span idcb5-23>a href#cb5-23 aria-hiddentrue tabindex-1>/a>/span>span idcb5-24>a href#cb5-24 aria-hiddentrue tabindex-1>/a>span classco>#In-sample/span>/span>span idcb5-25>a href#cb5-25 aria-hiddentrue tabindex-1>/a>/span>span idcb5-26>a href#cb5-26 aria-hiddentrue tabindex-1>/a>portfolio_volatility_odd span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(w_odd)span classsc>%*%/span>sigma_oddspan classsc>%*%/span>w_odd)/span>span idcb5-27>a href#cb5-27 aria-hiddentrue tabindex-1>/a>portfolio_returns_odd span classot><-/span> w_oddspan classsc>%*%/span>mu_odd/span>span idcb5-28>a href#cb5-28 aria-hiddentrue tabindex-1>/a>/span>span idcb5-29>a href#cb5-29 aria-hiddentrue tabindex-1>/a>portfolio_volatility_even span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(w_even)span classsc>%*%/span>sigma_evenspan classsc>%*%/span>w_even)/span>span idcb5-30>a href#cb5-30 aria-hiddentrue tabindex-1>/a>portfolio_returns_even span classot><-/span> w_evenspan classsc>%*%/span>mu_even/span>span idcb5-31>a href#cb5-31 aria-hiddentrue tabindex-1>/a>/span>span idcb5-32>a href#cb5-32 aria-hiddentrue tabindex-1>/a>span classco>#Out-of sample/span>/span>span idcb5-33>a href#cb5-33 aria-hiddentrue tabindex-1>/a>/span>span idcb5-34>a href#cb5-34 aria-hiddentrue tabindex-1>/a>portfolio_volatility_odd_oos span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(w_odd)span classsc>%*%/span>sigma_evenspan classsc>%*%/span>w_odd)/span>span idcb5-35>a href#cb5-35 aria-hiddentrue tabindex-1>/a>portfolio_returns_odd_oos span classot><-/span> w_oddspan classsc>%*%/span>mu_even/span>span idcb5-36>a href#cb5-36 aria-hiddentrue tabindex-1>/a>/span>span idcb5-37>a href#cb5-37 aria-hiddentrue tabindex-1>/a>portfolio_volatility_even_oos span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(w_even)span classsc>%*%/span>sigma_oddspan classsc>%*%/span>w_even)/span>span idcb5-38>a href#cb5-38 aria-hiddentrue tabindex-1>/a>portfolio_returns_even_oos span classot><-/span> w_evenspan classsc>%*%/span>mu_odd/span>span idcb5-39>a href#cb5-39 aria-hiddentrue tabindex-1>/a>/span>span idcb5-40>a href#cb5-40 aria-hiddentrue tabindex-1>/a>span classco>#risk_free_rate  1 /span>/span>span idcb5-41>a href#cb5-41 aria-hiddentrue tabindex-1>/a>span classco>#for no short selling costraints, remove Imat and nulvec from A and B/span>/span>span idcb5-42>a href#cb5-42 aria-hiddentrue tabindex-1>/a>/span>span idcb5-43>a href#cb5-43 aria-hiddentrue tabindex-1>/a>A_short span classot>/span> span classfu>as.matrix/span>(span classfu>cbind/span>(iota))/span>span idcb5-44>a href#cb5-44 aria-hiddentrue tabindex-1>/a>b_short span classot>/span> span classfu>as.matrix/span>(span classfu>c/span>(w0))/span>span idcb5-45>a href#cb5-45 aria-hiddentrue tabindex-1>/a>/span>span idcb5-46>a href#cb5-46 aria-hiddentrue tabindex-1>/a>span classco># Solve the model without short-sell constraints/span>/span>span idcb5-47>a href#cb5-47 aria-hiddentrue tabindex-1>/a>short_odd span classot>/span> span classfu>solve.QP/span>(sigma_oddspan classsc>*/span>gamma, mu_odd, span classat>Amat/span>A_short, span classat>bvec/span>b_short, span classat>meq/span>span classdv>1/span>)/span>span idcb5-48>a href#cb5-48 aria-hiddentrue tabindex-1>/a>w_odd_short span classot><-/span> short_oddspan classsc>$/span>solution/span>span idcb5-49>a href#cb5-49 aria-hiddentrue tabindex-1>/a>/span>span idcb5-50>a href#cb5-50 aria-hiddentrue tabindex-1>/a>short_even span classot>/span> span classfu>solve.QP/span>(sigma_evenspan classsc>*/span>gamma, mu_even, span classat>Amat/span>A_short, span classat>bvec/span>b_short, span classat>meq/span>span classdv>1/span>)/span>span idcb5-51>a href#cb5-51 aria-hiddentrue tabindex-1>/a>w_even_short span classot><-/span> short_evenspan classsc>$/span>solution/span>span idcb5-52>a href#cb5-52 aria-hiddentrue tabindex-1>/a>/span>span idcb5-53>a href#cb5-53 aria-hiddentrue tabindex-1>/a>span classco># In-sample w/ short-selling/span>/span>span idcb5-54>a href#cb5-54 aria-hiddentrue tabindex-1>/a>/span>span idcb5-55>a href#cb5-55 aria-hiddentrue tabindex-1>/a>portfolio_volatility_odd_short span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(w_odd_short) span classsc>%*%/span> sigma_odd span classsc>%*%/span> w_odd_short)/span>span idcb5-56>a href#cb5-56 aria-hiddentrue tabindex-1>/a>portfolio_returns_odd_short span classot><-/span> w_odd_short span classsc>%*%/span>mu_odd/span>span idcb5-57>a href#cb5-57 aria-hiddentrue tabindex-1>/a>/span>span idcb5-58>a href#cb5-58 aria-hiddentrue tabindex-1>/a>portfolio_volatility_even_short span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(w_even_short) span classsc>%*%/span> sigma_even span classsc>%*%/span> w_even_short)/span>span idcb5-59>a href#cb5-59 aria-hiddentrue tabindex-1>/a>portfolio_returns_even_short span classot><-/span> w_even_short span classsc>%*%/span>mu_even/span>span idcb5-60>a href#cb5-60 aria-hiddentrue tabindex-1>/a>/span>span idcb5-61>a href#cb5-61 aria-hiddentrue tabindex-1>/a>span classco># Out-of-sample w/ short-selling/span>/span>span idcb5-62>a href#cb5-62 aria-hiddentrue tabindex-1>/a>/span>span idcb5-63>a href#cb5-63 aria-hiddentrue tabindex-1>/a>portfolio_volatility_odd_oos_short span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(w_odd_short) span classsc>%*%/span> sigma_even span classsc>%*%/span> w_odd_short)/span>span idcb5-64>a href#cb5-64 aria-hiddentrue tabindex-1>/a>portfolio_returns_odd_oos_short span classot><-/span> w_odd_short span classsc>%*%/span>mu_even/span>span idcb5-65>a href#cb5-65 aria-hiddentrue tabindex-1>/a>/span>span idcb5-66>a href#cb5-66 aria-hiddentrue tabindex-1>/a>portfolio_volatility_even_oos_short span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(w_even_short) span classsc>%*%/span> sigma_odd span classsc>%*%/span> w_even_short)/span>span idcb5-67>a href#cb5-67 aria-hiddentrue tabindex-1>/a>portfolio_returns_even_oos_short span classot><-/span> w_even_short span classsc>%*%/span>mu_odd/span>span idcb5-68>a href#cb5-68 aria-hiddentrue tabindex-1>/a>/span>span idcb5-69>a href#cb5-69 aria-hiddentrue tabindex-1>/a>/span>span idcb5-70>a href#cb5-70 aria-hiddentrue tabindex-1>/a>risk_free_rate span classot><-/span> span classdv>1/span>/span>span idcb5-71>a href#cb5-71 aria-hiddentrue tabindex-1>/a>/span>span idcb5-72>a href#cb5-72 aria-hiddentrue tabindex-1>/a>span classco># Sharpe ratios/span>/span>span idcb5-73>a href#cb5-73 aria-hiddentrue tabindex-1>/a>sharpe_odd span classot><-/span> span classfu>as.numeric/span>((portfolio_returns_odd span classsc>-/span> risk_free_rate)) span classsc>//span> span classfu>as.numeric/span>(portfolio_volatility_odd)/span>span idcb5-74>a href#cb5-74 aria-hiddentrue tabindex-1>/a>sharpe_even span classot><-/span> span classfu>as.numeric/span>((portfolio_returns_even span classsc>-/span> risk_free_rate)) span classsc>//span> span classfu>as.numeric/span>(portfolio_volatility_even)/span>span idcb5-75>a href#cb5-75 aria-hiddentrue tabindex-1>/a>sharpe_odd_oos span classot><-/span> span classfu>as.numeric/span>((portfolio_returns_odd_oos span classsc>-/span> risk_free_rate)) span classsc>//span> span classfu>as.numeric/span>(portfolio_volatility_odd_oos)/span>span idcb5-76>a href#cb5-76 aria-hiddentrue tabindex-1>/a>sharpe_even_oos span classot><-/span> span classfu>as.numeric/span>((portfolio_returns_even_oos span classsc>-/span> risk_free_rate)) span classsc>//span> span classfu>as.numeric/span>(portfolio_volatility_even_oos)/span>span idcb5-77>a href#cb5-77 aria-hiddentrue tabindex-1>/a>/span>span idcb5-78>a href#cb5-78 aria-hiddentrue tabindex-1>/a>span classco># Sharpe ratios for no short selling constraints portfolios/span>/span>span idcb5-79>a href#cb5-79 aria-hiddentrue tabindex-1>/a>sharpe_odd_short span classot><-/span> (span classfu>as.numeric/span>(portfolio_returns_odd_short) span classsc>-/span> risk_free_rate) span classsc>//span> span classfu>as.numeric/span>(portfolio_volatility_odd_short)/span>span idcb5-80>a href#cb5-80 aria-hiddentrue tabindex-1>/a>sharpe_even_short span classot><-/span> (span classfu>as.numeric/span>(portfolio_returns_even_short) span classsc>-/span> risk_free_rate) span classsc>//span> span classfu>as.numeric/span>(portfolio_volatility_even_short)/span>span idcb5-81>a href#cb5-81 aria-hiddentrue tabindex-1>/a>sharpe_odd_oos_short span classot><-/span> (span classfu>as.numeric/span>(portfolio_returns_odd_oos_short) span classsc>-/span> risk_free_rate) span classsc>//span> span classfu>as.numeric/span>(portfolio_volatility_odd_oos_short)/span>span idcb5-82>a href#cb5-82 aria-hiddentrue tabindex-1>/a>sharpe_even_oos_short span classot><-/span> (span classfu>as.numeric/span>(portfolio_returns_even_oos_short) span classsc>-/span> risk_free_rate) span classsc>//span> span classfu>as.numeric/span>(portfolio_volatility_even_oos_short)/span>/code>/pre>/div>h4 idinterpreting-results>3.3 Interpreting results/h4>p>To interpret the results of the mean-variance portfolio constructedabove, we will display tables showcasing returns, volatility and Sharperatios for even and odd portfolios, in sample and out of sample as wellas with short selling constraints and without. Addtionally we willanalyze the weight of em>SPY/em> (S&P500) in our portfolios. Forincreased readability, the code chunk will be omitted./p>h5 idsummary-tables>3.3.1 Summary tables/h5>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Returns wo/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>17.099985/td>td styletext-align:right;>17.725750/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>9.450403/td>td styletext-align:right;>9.449684/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Volatility wo/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>15.20512/td>td styletext-align:right;>15.36627/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>15.44244/td>td styletext-align:right;>15.28011/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Returns w/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>16.746290/td>td styletext-align:right;>16.85749/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>8.655346/td>td styletext-align:right;>9.06258/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Volatility w/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>14.75848/td>td styletext-align:right;>15.08762/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>15.15502/td>td styletext-align:right;>14.87950/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Sharpe ratio wo/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>1.0588531/td>td styletext-align:right;>0.552986/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>0.5472192/td>td styletext-align:right;>1.088472/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Sharpe ratio w/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>1.0669320/td>td styletext-align:right;>0.5418581/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>0.5051359/td>td styletext-align:right;>1.0510271/td>/tr>/tbody>/table>p>We can observe a number of interesting differences between theportfolios. Firstly, the returns are slightly higher for all portfolioswithout short selling when compared to those with short selling. Apossible reason for this difference could be that long-only portfoliosare able to capture more upside potential of the stocks. Interestingly,the volatility is lower in portfolios that do not have a short sellingconstraint. This suggests, that these portfolios allow for improved riskmanagement, as it provides more flexibility in adjusting the weights ofthe stocks within the portfolio, which could help to reduce overallvolatility. The Sharpe ratios are higher for the portfolios withoutshort selling, with the exception of the in-sample odd portfolio withshort selling. This exception could indicate that shorting can improverisk-adjusted returns, however as this is in-sample and the out ofsample Sharpe ratio for this portfolio is higher long-only, this doesnot seem to be the case here. These ratios insinuate that long-onlyperformance generally provide better risk-adjusted returns compared toportfolios that allow for short-selling. When interpreting and analyzingthese results, it is crucial to consider that these metrics werecalculated using historical data, which might not predict futureperformance. Furthermore, these portfolios does not consider transactioncosts and taxes, which can significantly impact portfolioperformance./p>h5 idweight-of-spy>3.3.2 Weight of em>SPY/em>/h5>p>After analyzing returns, volatility and Sharpe ratios, we now want toanalyze the weight of em>SPY/em>, which is an ETF that tracks theS&P500 index in our portfolios. The results can be seen in the graphbelow:/p>div classsourceCode idcb6>pre classsourceCode r>code classsourceCode r>span idcb6-1>a href#cb6-1 aria-hiddentrue tabindex-1>/a>span classco>#Weight of SPY/span>/span>span idcb6-2>a href#cb6-2 aria-hiddentrue tabindex-1>/a>spy_index span classot><-/span> span classfu>which/span>(tickers_usedspan classdv>1/span> span classsc>/span> span classst>"SPY"/span>)/span>span idcb6-3>a href#cb6-3 aria-hiddentrue tabindex-1>/a>spy_weight span classot><-/span> span classfu>data.frame/span>(/span>span idcb6-4>a href#cb6-4 aria-hiddentrue tabindex-1>/a>  span classat>Estimation /span> span classfu>c/span>(span classst>"Odd"/span>, span classst>"Even"/span>, span classst>"Odd Short"/span>, span classst>"Even Short"/span>),/span>span idcb6-5>a href#cb6-5 aria-hiddentrue tabindex-1>/a>  span classat>Weight /span> span classfu>c/span>(/span>span idcb6-6>a href#cb6-6 aria-hiddentrue tabindex-1>/a>    w_oddspy_index, /span>span idcb6-7>a href#cb6-7 aria-hiddentrue tabindex-1>/a>    w_evenspy_index, /span>span idcb6-8>a href#cb6-8 aria-hiddentrue tabindex-1>/a>    w_odd_shortspy_index, /span>span idcb6-9>a href#cb6-9 aria-hiddentrue tabindex-1>/a>    w_even_shortspy_index/span>span idcb6-10>a href#cb6-10 aria-hiddentrue tabindex-1>/a>  )/span>span idcb6-11>a href#cb6-11 aria-hiddentrue tabindex-1>/a>)/span>span idcb6-12>a href#cb6-12 aria-hiddentrue tabindex-1>/a>/span>span idcb6-13>a href#cb6-13 aria-hiddentrue tabindex-1>/a>span classco># Display SPY weight as a bar chart for better visualisation/span>/span>span idcb6-14>a href#cb6-14 aria-hiddentrue tabindex-1>/a>spy_weight span classsc>%>%/span>/span>span idcb6-15>a href#cb6-15 aria-hiddentrue tabindex-1>/a>  span classfu>ggplot/span>(span classfu>aes/span>(span classat>x/span>Estimation, span classat>y/span>Weight, span classat>fill/span>Estimation)) span classsc>+/span>/span>span idcb6-16>a href#cb6-16 aria-hiddentrue tabindex-1>/a>  span classfu>geom_bar/span>(span classat>stat/span>span classst>"identity"/span>, span classat>width/span>span classfl>0.5/span>) span classsc>+/span>/span>span idcb6-17>a href#cb6-17 aria-hiddentrue tabindex-1>/a>  span classfu>theme_minimal/span>() span classsc>+/span>/span>span idcb6-18>a href#cb6-18 aria-hiddentrue tabindex-1>/a>  span classfu>labs/span>(span classat>x /span> span classst>"Estimation"/span>, span classat>y /span> span classst>"Weight"/span>, span classat>title /span> span classst>"Weight of SPY in the Portfolios"/span>, span classat>fill /span> span classst>"Estimation"/span>) span classsc>+/span>/span>span idcb6-19>a href#cb6-19 aria-hiddentrue tabindex-1>/a>  span classfu>theme/span>(span classat>plot.title /span> span classfu>element_text/span>(span classat>hjust /span> span classfl>0.5/span>))/span>/code>/pre>/div>p>img srcdata:image/png;base64,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 width960 />As can be observed above, the proportion of em>SPY/em> differs greatlyacross portfolios. It ranges from essentially 0 for the long-only evenportfolio to 0.4 for the odd portfolio that allows for short selling.These differences can be attributed to a variety of reasons. Firstly,the portfolios are constructed using different subsets (odd & evenobservations) that could contain different market conditions, resultingin contrasting risk-return profiles for em>SPY/em>. Furthermore,portfolios with a short selling constraints will evaluate risk-returntrade-offs differently that those that allow for short selling, as thereis greater flexibility when shorting is allowed./p>h3 idcapm-portfolios>4. CAPM Portfolios/h3>p>Behold, the advent of section 4, aptly titled ‘CAPM Portfolios’. Thispart signifies the beginning of a new epoch in the construction of ourportfolios. As hinted by its name, we will be weaving in the principlesof the Capital Asset Pricing Model (CAPM) into our portfolio buildingstrategy this time around. This model, which enjoys widespread adoption,sketches out the intricate ties between expected returns and the risktied to investing in a given security. It brings into play the conceptof systematic risk, symbolized by Beta (β), to project expected returns.The birthing process of these portfolios echoes the methodology we’veutilized before, with one significant enhancement—the inclusion of CAPMimplied expected returns. We calculate these returns with the formula:risk_free_rate + betas * market premium, where ‘betas’ stand for thesystematic risk associated with each security, and ‘market premium’refers to the market’s expected return minus the risk-free rate. Theinaugural phase of our CAPM portfolio generation involves thecomputation of the lambda values (market premiums) for both even and oddportfolios. We base these calculations on the first expected returnvalue (mu) of each respective portfolio. Thereafter, we figure out theBeta values for each portfolio by dividing each column of our covariancematrices by their initial elements. After that, we compute our CAPMimplied expected returns with the aid of the aforementioned formula.Upon determining our CAPM implied expected returns, we employ thefunction solve.QP() to streamline our portfolios once again. We pursue aminimization of portfolio variance, bound by the constraints that thetotal weight of all stocks equals one, and that no weight plunges intothe negative zone, thereby prohibiting short selling. The optimizedweights for each security in the portfolios are then computed, resultingin the “no short selling” variants of the CAPM portfolios.Post-optimization, we calculate the expected return and volatility foreach of these portfolios under their respective training (in-sample) andvalidation (out-of-sample) scenarios. These statistics provide us with aglimpse into the performance and risk exposure of each portfolio. Next,we loosen the reins on short selling and re-adjust the portfolios. Wecompute the weights for each security in the portfolios, leading to the“short selling permitted” iterations of the CAPM portfolios. Once again,we determine the expected return and volatility for each of theseportfolios under their in-sample and out-of-sample scenarios. Distinctfrom our preceding portfolios, the CAPM portfolios account forsystematic risk, which causes the weight allocations across thesecurities in the portfolios to diverge. This innovative approach couldpotentially amp up the risk-adjusted returns of the portfolios,contingent on the actual returns fetched by the stocks. Yet, one mustbear in mind that, akin to our prior portfolios, these CAPM portfoliosare founded on historical data and overlook factors like transactioncosts or taxes. Given that these elements can markedly sway theperformance of real-world portfolios, they warrant serious considerationwhen evaluating these strategies. Moreover, the CAPM model makes anumber of underlying assumptions about the market and its participantsthat are not necessarily realistic, such as that we do not have to payfees or taxes./p>h4 idportfolio-construction-2>4.1 Portfolio construction/h4>div classsourceCode idcb7>pre classsourceCode r>code classsourceCode r>span idcb7-1>a href#cb7-1 aria-hiddentrue tabindex-1>/a>span classco># CAPM/span>/span>span idcb7-2>a href#cb7-2 aria-hiddentrue tabindex-1>/a>/span>span idcb7-3>a href#cb7-3 aria-hiddentrue tabindex-1>/a>lambda_even span classot><-/span> mu_evenspan classdv>1/span> span classsc>-/span> risk_free_rate/span>span idcb7-4>a href#cb7-4 aria-hiddentrue tabindex-1>/a>lambda_odd span classot><-/span> mu_oddspan classdv>1/span> span classsc>-/span> risk_free_rate/span>span idcb7-5>a href#cb7-5 aria-hiddentrue tabindex-1>/a>/span>span idcb7-6>a href#cb7-6 aria-hiddentrue tabindex-1>/a>betas_odd span classot><-/span> sigma_odd, span classdv>1/span>span classsc>//span>sigma_oddspan classdv>1/span>, span classdv>1/span>/span>span idcb7-7>a href#cb7-7 aria-hiddentrue tabindex-1>/a>betas_even span classot><-/span> sigma_even, span classdv>1/span>span classsc>//span>sigma_evenspan classdv>1/span>, span classdv>1/span>/span>span idcb7-8>a href#cb7-8 aria-hiddentrue tabindex-1>/a>/span>span idcb7-9>a href#cb7-9 aria-hiddentrue tabindex-1>/a>span classco># Compute CAPM implied means/span>/span>span idcb7-10>a href#cb7-10 aria-hiddentrue tabindex-1>/a>capm_mu_odd span classot><-/span> risk_free_rate span classsc>+/span> betas_odd span classsc>*/span> lambda_odd/span>span idcb7-11>a href#cb7-11 aria-hiddentrue tabindex-1>/a>capm_mu_even span classot><-/span> risk_free_rate span classsc>+/span> betas_even span classsc>*/span> lambda_even/span>span idcb7-12>a href#cb7-12 aria-hiddentrue tabindex-1>/a>/span>span idcb7-13>a href#cb7-13 aria-hiddentrue tabindex-1>/a>span classco># Re-optimize the portfolios using the CAPM implied means/span>/span>span idcb7-14>a href#cb7-14 aria-hiddentrue tabindex-1>/a>capm_noshort_odd span classot>/span> span classfu>solve.QP/span>(sigma_odd span classsc>*/span> gamma, capm_mu_odd, span classat>Amat /span> A, span classat>bvec /span> b, span classat>meq /span> span classdv>1/span>)/span>span idcb7-15>a href#cb7-15 aria-hiddentrue tabindex-1>/a>capm_w_odd span classot><-/span> capm_noshort_oddspan classsc>$/span>solution/span>span idcb7-16>a href#cb7-16 aria-hiddentrue tabindex-1>/a>/span>span idcb7-17>a href#cb7-17 aria-hiddentrue tabindex-1>/a>capm_noshort_even span classot>/span> span classfu>solve.QP/span>(sigma_even span classsc>*/span> gamma, capm_mu_even, span classat>Amat /span> A, span classat>bvec /span> b,/span>span idcb7-18>a href#cb7-18 aria-hiddentrue tabindex-1>/a>    span classat>meq /span> span classdv>1/span>)/span>span idcb7-19>a href#cb7-19 aria-hiddentrue tabindex-1>/a>capm_w_even span classot><-/span> capm_noshort_evenspan classsc>$/span>solution/span>span idcb7-20>a href#cb7-20 aria-hiddentrue tabindex-1>/a>/span>span idcb7-21>a href#cb7-21 aria-hiddentrue tabindex-1>/a>span classco># Compute the expected return and standard deviation for the optimized/span>/span>span idcb7-22>a href#cb7-22 aria-hiddentrue tabindex-1>/a>span classco># portfolios in their training samples/span>/span>span idcb7-23>a href#cb7-23 aria-hiddentrue tabindex-1>/a>capm_portfolio_returns_odd span classot><-/span> capm_w_odd span classsc>%*%/span> mu_odd/span>span idcb7-24>a href#cb7-24 aria-hiddentrue tabindex-1>/a>capm_portfolio_volatility_odd span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(capm_w_odd) span classsc>%*%/span> sigma_odd span classsc>%*%/span> capm_w_odd)/span>span idcb7-25>a href#cb7-25 aria-hiddentrue tabindex-1>/a>/span>span idcb7-26>a href#cb7-26 aria-hiddentrue tabindex-1>/a>capm_portfolio_returns_even span classot><-/span> capm_w_even span classsc>%*%/span> mu_even/span>span idcb7-27>a href#cb7-27 aria-hiddentrue tabindex-1>/a>capm_portfolio_volatility_even span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(capm_w_even) span classsc>%*%/span> sigma_even span classsc>%*%/span> capm_w_even)/span>span idcb7-28>a href#cb7-28 aria-hiddentrue tabindex-1>/a>/span>span idcb7-29>a href#cb7-29 aria-hiddentrue tabindex-1>/a>span classco># Compute the expected return and standard deviation for the optimized/span>/span>span idcb7-30>a href#cb7-30 aria-hiddentrue tabindex-1>/a>span classco># portfolios in their validation samples/span>/span>span idcb7-31>a href#cb7-31 aria-hiddentrue tabindex-1>/a>capm_portfolio_returns_odd_oos span classot><-/span> capm_w_odd span classsc>%*%/span> mu_even/span>span idcb7-32>a href#cb7-32 aria-hiddentrue tabindex-1>/a>capm_portfolio_volatility_odd_oos span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(capm_w_odd) span classsc>%*%/span> sigma_even span classsc>%*%/span> capm_w_odd)/span>span idcb7-33>a href#cb7-33 aria-hiddentrue tabindex-1>/a>/span>span idcb7-34>a href#cb7-34 aria-hiddentrue tabindex-1>/a>capm_portfolio_returns_even_oos span classot><-/span> capm_w_even span classsc>%*%/span> mu_odd/span>span idcb7-35>a href#cb7-35 aria-hiddentrue tabindex-1>/a>capm_portfolio_volatility_even_oos span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(capm_w_even) span classsc>%*%/span> sigma_odd span classsc>%*%/span> capm_w_even)/span>span idcb7-36>a href#cb7-36 aria-hiddentrue tabindex-1>/a>/span>span idcb7-37>a href#cb7-37 aria-hiddentrue tabindex-1>/a>span classco># With short selling/span>/span>span idcb7-38>a href#cb7-38 aria-hiddentrue tabindex-1>/a>/span>span idcb7-39>a href#cb7-39 aria-hiddentrue tabindex-1>/a>span classco># Re-optimize the portfolios using the CAPM implied means/span>/span>span idcb7-40>a href#cb7-40 aria-hiddentrue tabindex-1>/a>capm_short_odd span classot>/span> span classfu>solve.QP/span>(sigma_odd span classsc>*/span> gamma, capm_mu_odd, span classat>Amat /span> A_short, span classat>bvec /span> b_short,/span>span idcb7-41>a href#cb7-41 aria-hiddentrue tabindex-1>/a>    span classat>meq /span> span classdv>1/span>)/span>span idcb7-42>a href#cb7-42 aria-hiddentrue tabindex-1>/a>capm_w_odd_short span classot><-/span> capm_short_oddspan classsc>$/span>solution/span>span idcb7-43>a href#cb7-43 aria-hiddentrue tabindex-1>/a>/span>span idcb7-44>a href#cb7-44 aria-hiddentrue tabindex-1>/a>capm_short_even span classot>/span> span classfu>solve.QP/span>(sigma_even span classsc>*/span> gamma, capm_mu_even, span classat>Amat /span> A_short, span classat>bvec /span> b_short,/span>span idcb7-45>a href#cb7-45 aria-hiddentrue tabindex-1>/a>    span classat>meq /span> span classdv>1/span>)/span>span idcb7-46>a href#cb7-46 aria-hiddentrue tabindex-1>/a>capm_w_even_short span classot><-/span> capm_short_evenspan classsc>$/span>solution/span>span idcb7-47>a href#cb7-47 aria-hiddentrue tabindex-1>/a>/span>span idcb7-48>a href#cb7-48 aria-hiddentrue tabindex-1>/a>span classco># Compute the expected return and standard deviation for the optimized/span>/span>span idcb7-49>a href#cb7-49 aria-hiddentrue tabindex-1>/a>span classco># portfolios in their training samples/span>/span>span idcb7-50>a href#cb7-50 aria-hiddentrue tabindex-1>/a>capm_portfolio_returns_odd_short span classot><-/span> capm_w_odd_short span classsc>%*%/span> mu_odd/span>span idcb7-51>a href#cb7-51 aria-hiddentrue tabindex-1>/a>capm_portfolio_volatility_odd_short span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(capm_w_odd_short) span classsc>%*%/span> sigma_odd span classsc>%*%/span>/span>span idcb7-52>a href#cb7-52 aria-hiddentrue tabindex-1>/a>    capm_w_odd_short)/span>span idcb7-53>a href#cb7-53 aria-hiddentrue tabindex-1>/a>/span>span idcb7-54>a href#cb7-54 aria-hiddentrue tabindex-1>/a>capm_portfolio_returns_even_short span classot><-/span> capm_w_even_short span classsc>%*%/span> mu_even/span>span idcb7-55>a href#cb7-55 aria-hiddentrue tabindex-1>/a>capm_portfolio_volatility_even_short span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(capm_w_even_short) span classsc>%*%/span> sigma_even span classsc>%*%/span>/span>span idcb7-56>a href#cb7-56 aria-hiddentrue tabindex-1>/a>    capm_w_even_short)/span>span idcb7-57>a href#cb7-57 aria-hiddentrue tabindex-1>/a>/span>span idcb7-58>a href#cb7-58 aria-hiddentrue tabindex-1>/a>span classco># Compute the expected return and standard deviation for the optimized/span>/span>span idcb7-59>a href#cb7-59 aria-hiddentrue tabindex-1>/a>span classco># portfolios in their validation samples/span>/span>span idcb7-60>a href#cb7-60 aria-hiddentrue tabindex-1>/a>capm_portfolio_returns_odd_oos_short span classot><-/span> capm_w_odd_short span classsc>%*%/span> mu_even/span>span idcb7-61>a href#cb7-61 aria-hiddentrue tabindex-1>/a>capm_portfolio_volatility_odd_oos_short span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(capm_w_odd_short) span classsc>%*%/span> sigma_even span classsc>%*%/span>/span>span idcb7-62>a href#cb7-62 aria-hiddentrue tabindex-1>/a>    capm_w_odd_short)/span>span idcb7-63>a href#cb7-63 aria-hiddentrue tabindex-1>/a>/span>span idcb7-64>a href#cb7-64 aria-hiddentrue tabindex-1>/a>capm_portfolio_returns_even_oos_short span classot><-/span> capm_w_even_short span classsc>%*%/span> mu_odd/span>span idcb7-65>a href#cb7-65 aria-hiddentrue tabindex-1>/a>capm_portfolio_volatility_even_oos_short span classot><-/span> span classfu>sqrt/span>(span classfu>t/span>(capm_w_even_short) span classsc>%*%/span> sigma_odd span classsc>%*%/span>/span>span idcb7-66>a href#cb7-66 aria-hiddentrue tabindex-1>/a>    capm_w_even_short)/span>span idcb7-67>a href#cb7-67 aria-hiddentrue tabindex-1>/a>/span>span idcb7-68>a href#cb7-68 aria-hiddentrue tabindex-1>/a>/span>span idcb7-69>a href#cb7-69 aria-hiddentrue tabindex-1>/a>/span>span idcb7-70>a href#cb7-70 aria-hiddentrue tabindex-1>/a>span classco># Sharpe ratios/span>/span>span idcb7-71>a href#cb7-71 aria-hiddentrue tabindex-1>/a>capm_sharpe_odd span classot><-/span> span classfu>as.numeric/span>((capm_portfolio_returns_odd span classsc>-/span> risk_free_rate))span classsc>//span>span classfu>as.numeric/span>(capm_portfolio_volatility_odd)/span>span idcb7-72>a href#cb7-72 aria-hiddentrue tabindex-1>/a>capm_sharpe_even span classot><-/span> span classfu>as.numeric/span>((capm_portfolio_returns_even span classsc>-/span> risk_free_rate))span classsc>//span>span classfu>as.numeric/span>(capm_portfolio_volatility_even)/span>span idcb7-73>a href#cb7-73 aria-hiddentrue tabindex-1>/a>capm_sharpe_odd_oos span classot><-/span> span classfu>as.numeric/span>((capm_portfolio_returns_odd_oos span classsc>-/span> risk_free_rate))span classsc>//span>span classfu>as.numeric/span>(capm_portfolio_volatility_odd_oos)/span>span idcb7-74>a href#cb7-74 aria-hiddentrue tabindex-1>/a>capm_sharpe_even_oos span classot><-/span> span classfu>as.numeric/span>((capm_portfolio_returns_even_oos span classsc>-/span> risk_free_rate))span classsc>//span>span classfu>as.numeric/span>(capm_portfolio_volatility_even_oos)/span>span idcb7-75>a href#cb7-75 aria-hiddentrue tabindex-1>/a>/span>span idcb7-76>a href#cb7-76 aria-hiddentrue tabindex-1>/a>span classco># Sharpe ratios for no short selling constraints portfolios/span>/span>span idcb7-77>a href#cb7-77 aria-hiddentrue tabindex-1>/a>capm_sharpe_odd_short span classot><-/span> (span classfu>as.numeric/span>(capm_portfolio_returns_odd_short) span classsc>-/span> risk_free_rate)span classsc>//span>span classfu>as.numeric/span>(capm_portfolio_volatility_odd_short)/span>span idcb7-78>a href#cb7-78 aria-hiddentrue tabindex-1>/a>capm_sharpe_even_short span classot><-/span> (span classfu>as.numeric/span>(capm_portfolio_returns_even_short) span classsc>-/span> risk_free_rate)span classsc>//span>span classfu>as.numeric/span>(capm_portfolio_volatility_even_short)/span>span idcb7-79>a href#cb7-79 aria-hiddentrue tabindex-1>/a>capm_sharpe_odd_oos_short span classot><-/span> (span classfu>as.numeric/span>(capm_portfolio_returns_odd_oos_short) span classsc>-/span>/span>span idcb7-80>a href#cb7-80 aria-hiddentrue tabindex-1>/a>    risk_free_rate)span classsc>//span>span classfu>as.numeric/span>(capm_portfolio_volatility_odd_oos_short)/span>span idcb7-81>a href#cb7-81 aria-hiddentrue tabindex-1>/a>capm_sharpe_even_oos_short span classot><-/span> (span classfu>as.numeric/span>(capm_portfolio_returns_even_oos_short) span classsc>-/span>/span>span idcb7-82>a href#cb7-82 aria-hiddentrue tabindex-1>/a>    risk_free_rate)span classsc>//span>span classfu>as.numeric/span>(capm_portfolio_volatility_even_oos_short)/span>/code>/pre>/div>h4 idvisualizing-capm-sml>4.2 Visualizing CAPM & SML/h4>p>After birthing and optimizing the CAPM portfolios, in the nextsubsection, we will visualize these portfolios and the Security MarketLine (SML)./p>div classsourceCode idcb8>pre classsourceCode r>code classsourceCode r>span idcb8-1>a href#cb8-1 aria-hiddentrue tabindex-1>/a>span classco># Scatterplot for βi against the sample means mi for odd and even samples/span>/span>span idcb8-2>a href#cb8-2 aria-hiddentrue tabindex-1>/a>ggplot_data_sml span classot><-/span> span classfu>data.frame/span>(span classat>beta_odd /span> betas_odd, span classat>mean_odd /span> mu_odd, span classat>beta_even /span> betas_even, span classat>mean_even /span> mu_even)/span>span idcb8-3>a href#cb8-3 aria-hiddentrue tabindex-1>/a>/span>span idcb8-4>a href#cb8-4 aria-hiddentrue tabindex-1>/a>span classfu>ggplot/span>() span classsc>+/span>/span>span idcb8-5>a href#cb8-5 aria-hiddentrue tabindex-1>/a>  span classco># Add points for odd samples/span>/span>span idcb8-6>a href#cb8-6 aria-hiddentrue tabindex-1>/a>  span classfu>geom_point/span>(span classat>data /span> ggplot_data_sml, span classfu>aes/span>(span classat>x /span> beta_odd, span classat>y /span> mean_odd), span classat>color /span> span classst>'#E24A33'/span>, span classat>size /span> span classdv>2/span>, span classat>alpha /span> span classfl>0.7/span>) span classsc>+/span>/span>span idcb8-7>a href#cb8-7 aria-hiddentrue tabindex-1>/a>  span classco># Add points for even samples/span>/span>span idcb8-8>a href#cb8-8 aria-hiddentrue tabindex-1>/a>  span classfu>geom_point/span>(span classat>data /span> ggplot_data_sml, span classfu>aes/span>(span classat>x /span> beta_even, span classat>y /span> mean_even), span classat>color /span> span classst>'#348ABD'/span>, span classat>size /span> span classdv>2/span>, span classat>alpha /span> span classfl>0.7/span>) span classsc>+/span>/span>span idcb8-9>a href#cb8-9 aria-hiddentrue tabindex-1>/a>  span classco># Add SML line for odd samples/span>/span>span idcb8-10>a href#cb8-10 aria-hiddentrue tabindex-1>/a>  span classfu>geom_abline/span>(span classat>intercept /span> risk_free_rate, span classat>slope /span> lambda_odd, span classat>color /span> span classst>'#E24A33'/span>, span classat>linewidth /span> span classfl>1.2/span>, span classat>linetype /span> span classst>"dashed"/span>) span classsc>+/span>/span>span idcb8-11>a href#cb8-11 aria-hiddentrue tabindex-1>/a>  span classco># Add SML line for even samples/span>/span>span idcb8-12>a href#cb8-12 aria-hiddentrue tabindex-1>/a>  span classfu>geom_abline/span>(span classat>intercept /span> risk_free_rate, span classat>slope /span> lambda_even, span classat>color /span> span classst>'#348ABD'/span>, span classat>linewidth /span> span classfl>1.2/span>, span classat>linetype /span> span classst>"dashed"/span>) span classsc>+/span>/span>span idcb8-13>a href#cb8-13 aria-hiddentrue tabindex-1>/a>  span classfu>labs/span>(span classat>x /span> span classst>"Beta"/span>, span classat>y /span> span classst>"Sample means"/span>) span classsc>+/span>/span>span idcb8-14>a href#cb8-14 aria-hiddentrue tabindex-1>/a>  span classfu>theme_minimal/span>() span classsc>+/span>/span>span idcb8-15>a href#cb8-15 aria-hiddentrue tabindex-1>/a>  span classfu>ggtitle/span>(span classst>"Security Market Line (SML)"/span>) span classsc>+/span>/span>span idcb8-16>a href#cb8-16 aria-hiddentrue tabindex-1>/a>  span classfu>theme/span>(/span>span idcb8-17>a href#cb8-17 aria-hiddentrue tabindex-1>/a>    span classat>plot.title /span> span classfu>element_text/span>(span classat>hjust /span> span classfl>0.5/span>, span classat>face/span>span classst>"bold"/span>, span classat>size/span>span classdv>20/span>, span classat>color/span>span classst>"black"/span>),/span>span idcb8-18>a href#cb8-18 aria-hiddentrue tabindex-1>/a>    span classat>axis.title.x /span> span classfu>element_text/span>(span classat>face/span>span classst>"bold"/span>, span classat>size/span>span classdv>14/span>, span classat>color/span>span classst>"black"/span>),/span>span idcb8-19>a href#cb8-19 aria-hiddentrue tabindex-1>/a>    span classat>axis.title.y /span> span classfu>element_text/span>(span classat>face/span>span classst>"bold"/span>, span classat>size/span>span classdv>14/span>, span classat>color/span>span classst>"black"/span>),/span>span idcb8-20>a href#cb8-20 aria-hiddentrue tabindex-1>/a>    span classat>axis.text /span> span classfu>element_text/span>(span classat>size/span>span classdv>12/span>, span classat>color/span>span classst>"black"/span>),/span>span idcb8-21>a href#cb8-21 aria-hiddentrue tabindex-1>/a>    span classat>legend.position /span> span classst>"bottom"/span>,/span>span idcb8-22>a href#cb8-22 aria-hiddentrue tabindex-1>/a>    span classat>legend.title /span> span classfu>element_blank/span>(),/span>span idcb8-23>a href#cb8-23 aria-hiddentrue tabindex-1>/a>    span classat>panel.grid.major /span> span classfu>element_line/span>(span classat>color /span> span classst>"grey"/span>, span classat>linewidth /span> span classfl>0.1/span>),/span>span idcb8-24>a href#cb8-24 aria-hiddentrue tabindex-1>/a>    span classat>panel.grid.minor /span> span classfu>element_line/span>(span classat>color /span> span classst>"grey"/span>, span classat>linewidth /span> span classfl>0.05/span>)/span>span idcb8-25>a href#cb8-25 aria-hiddentrue tabindex-1>/a>  ) span classsc>+/span>/span>span idcb8-26>a href#cb8-26 aria-hiddentrue tabindex-1>/a>  span classfu>annotate/span>(span classst>"text"/span>, span classat>x /span> span classfu>max/span>(ggplot_data_smlspan classsc>$/span>beta_odd, span classat>na.rm /span> span classcn>TRUE/span>), span classat>y /span> span classfu>max/span>(ggplot_data_smlspan classsc>$/span>mean_odd, span classat>na.rm /span> span classcn>TRUE/span>), span classat>label /span> span classst>"Odd Samples"/span>, span classat>hjust /span> span classfl>1.5/span>, span classat>color /span> span classst>'#E24A33'/span>) span classsc>+/span>/span>span idcb8-27>a href#cb8-27 aria-hiddentrue tabindex-1>/a>  span classfu>annotate/span>(span classst>"text"/span>, span classat>x /span> span classfu>max/span>(ggplot_data_smlspan classsc>$/span>beta_even, span classat>na.rm /span> span classcn>TRUE/span>), span classat>y /span> span classfu>max/span>(ggplot_data_smlspan classsc>$/span>mean_even, span classat>na.rm /span> span classcn>TRUE/span>), span classat>label /span> span classst>"Even Samples"/span>, span classat>hjust /span> span classfl>1.5/span>, span classat>color /span> span classst>'#348ABD'/span>)/span>/code>/pre>/div>p>img 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wwQUXyMMPP+xs0JEimZmZTT7L6b1Ig8Q/+9nPnHrRLrzwwguiD7HoiBEtmiVGHx7U4+mPlVu3bjXr9f1tt90ml19+uXnP/yCAAAKxEFi5cqW5B82ePdtpbuDAgbJ27VrnfXsX9CG+888/X/R7sl109G9lZWWTdb/97W/ljjvusKvwigACCMREQAdnXHHFFU0+w91///3yq1/9Kibtz58/X4466ij5/vvvm7SnvwMG3vd049VXXy033XRTk3q8QQABBNwWYASw2+IcDwEEEkpAn562g7/6A96///1vk/5Z0/rpCLWbb75ZNPirP/TpD4b6pTuWRT9gnn322eaYsWyXthBAAAEV2LFjhxmBawd/L7roIlmxYoX5Ea+qqko+/vhj0cCvFv0x8ZJLLjHLbf2fa665xrmn7r777vLOO+84x9JMCkcccYRpWn+oPOecc9p6GPZDAAEEHIEHH3zQCf7qwyUvvvii+dFQP8tt27ZN7rrrLvNgn6ainzp1qkn15+wcxcKiRYuc4K+mstfPjzqCZM6cOWZ0sX5u/Ne//mWCwvqMtv54+e6770ZxBKoigAAC4QUeeeQRk7lFP6/l5OSIPtQS6/L555+LPlCj31H1IZq7777bPNii91N9OFofiLYf3rvzzjtl+vTpse4C7SGAQBcV2LBhg/z4xz+WCy+80Nxv4jEVm34nDgz+aoaY999/X/R7sX5OXLZsmfn8psFgLfp74Ouvv95FrwinjQACnhHQEcAUBBBAAIHoBaxRGn7raWbNouC35qb0W08Ahmxk2rRppo7Ws4LAIeu0deXf/vY307b1Q6LfmovTLFsjgNvaHPshgAACTQSuv/565/71u9/9rsk2+401osNvzc1r6lmj1vzWU9H2pqhereCI35pX2LRjzYPpt4LPzfa3Rhz79913X6dPX3zxRbM6rEAAAQQiFbCCEv6CggJzT+nevbvfyqAScteXX37Zue9YaUxD1mltpfXAntPG448/Hra6FYB26lkPvYStxwYEEEAgUgErzbxzX5k4caLfepjPn5uba9ZZI4AjbabVegcffLBzHCvoEbK+lb3K+Q5tTSPitzK8hKzHSgQQQCBSgU8//dRvzb9r7j/WAAy/NVDDf9999zn3I2sEcKRNtVjPeljZafO4447zW9mrQta/5ZZbnHrW1HAh67ASAQQQcEuAEcCeCcXTEQQQ6GwC+sSyneZZU7voXB+hiqb6GzdunNmkTz3b6f1C1Y1m3ddffy1WcMbsctVVV5n5hqPZn7oIIIBASwI6ekNHi2jRJ6jt+03wPpoOWp9u1mJ9gDVzogfXieT93//+d5NWWus++uijZnRK8H46WkXr6ZzDVkBG4jFvXfAxeY8AAokrMGPGDDPKV89Q05FaD9GFPFmd81zn6NXyxhtvyJo1a0LWa2mlzompRdM7n3baaWGr6nQhmj1G2TgGKAAAJZFJREFUS2Ca1rA7sAEBBBBoRUDnFbcespPrrrtO9F6kc/HGuixZskRmzZplmtVReDpKLlQZNmyYaEYZLZpClXkyQymxDgEEohHQLCs6OnfkyJEms8qVV15p5v6Npo1I6upUHnbRDDH2SF97nf2qWbF0WjgtmjErODW0XY9XBBBAwA0BAsBuKHMMBBBISIHAL6tnnHFGi+dob9f5MmORAkbTy2hgWefE1DSp+gFXf1CkIIAAArES+Oyzz5y5jU444QSTyi9c25qa2RpFZzZrCtNoi6bJ17SrWqwRvjJhwoSwTWjKaf0BUwMy9jHDVmYDAggg0IJA4P3K/qwWrrq9XR90efXVV8NVC7teU+pr0bSomgI6XElNTTUP3ej2iooKk1IwXF3WI4AAApEI6MMtGpzVB+jikfpZ+9CW78a6X+B9WN9TEEAAgbYInHfeefLll1/K+PHj27J7q/vo5z+dgkiDu5pmuqUHaTT4q/ddLZoe2v4MaFbwPwgggIDLAgSAXQbncAggkBgCVqoX0eCIFn2KuXfv3i2e2KRJk5ztH330kbPc1oW//vWv5sOt/kj49NNPOyNF2toe+yGAAALBAvq0sl3seX7t98Gv+vSzHbTV+ZesNKrBVVp8r/dT+4vxscce22JdNiKAAAKxErDvc7169ZIRI0a02GzgfbAtn+XseS81e4x9vwt1QP2Mac+7bqVHjVuwJtSxWYcAAokpoHNUBn4fjcdZfvLJJ06zgfdLZ2XAgmbHsh+Eacv9NKApFhFAAAH56U9/Kg8//HCLDyy3l0kHXPzhD3+Qe+65Rx544IFWm9OH+LRo9gVr6rhW61MBAQQQiJcAAeB4ydIuAggktMDatWvFmvfSnOOoUaNaPdfAOpoeqz1Fn2q88cYbTRPXXnutWHNvtqc59kUAAQRCCixdutRZH3gPc1YGLQTWifY+N3fuXKe1vffe21nWrAma0mvOnDnyzTffkD7LkWEBAQTaK1BUVCRbtmwxzQTev8K1qwFiO9tKtPc4bVNTO9vFznhgvw981UCNZnjRYs0vF7iJZQQQQKBNAnYq0jbtHOFO9ufG9PR0GTJkSIt76b3UfuhGU+rbgZIWd2IjAgggEEbAjXtcmEOHXK0PQ9vThehD0jpwg4IAAgh0lAAB4I6S57gIINCpBdavX+/0v1+/fs5yuIWePXs6H/oC9w1XP9x6/UHwF7/4hUkHqEESnXuYggACCMRDQEfy2kVHobVWAutEe59bvny507z+aLhx40b55S9/KXl5eTJ27FiZOHGimdNJ76WXXnqpaOCGggACCLRHINp7nM7La6edX7duXdSH1ntX//79zX6XXXaZvP32283aWLBggbn36YYePXrINddc06wOKxBAAAEvCtif/fr06eM8LNNSPwM/Nwbej1vah20IIIBAZxDQ6YrscvHFF9uLvCKAAAIdIuDrkKNyUAQQQKCTC2zfvt05g+7duzvLLS3k5ubKtm3bnLR+LdUNt00/SOpouIyMDJP6OV5zOIU7PusRQKDrCER7nwu8F9rpSyPV2rRpk1N18+bNcsghh4i9Tp/o1jmC7bSod999t7z88ssyc+ZMGTp0qLMfCwgggEA0AtHe47Rt/Sy3detWCdw30mPqAy3//e9/5dRTTzWf5Y488kjZfffdZfTo0aJp9FesWCGff/656BxzgwYNkhkzZkhhYWGkzVMPAQQQ6DABzdhij+LV+2QkpT2fGyNpnzoIIIBARwg8+eST8swzz5hDH3rooXL66ad3RDc4JgIIIOAIMALYoWABAQQQiFzATs2ne+iIkEiKXS9w30j2s+vovEq33367efuXv/xFdtttN3sTrwgggEDMBQLvVfb9q6WDBNYJ3LelfextgfNhTp06VcrKyuTWW28VHU2iPyhqyv13331X9t13X7OLpuE/8cQTRX9wpCCAAAJtEaiqqnJ205SlkRS7XkNDQ5vuP5pqWu9lxxxzjDncwoUL5R//+Ic8//zzonOha/BX5858/fXXnftdJP2iDgIIINCRAoGf++z7ZGv9CawXuH9r+7EdAQQQ8KqABn7PPfdc0z19mO+5556LKCOCV8+HfiGAQGIIMAI4Ma4jZ4EAAgkuoAGQs846y8x/qT8MaupACgIIIJAoAnV1dc6paHB31qxZsv/++zvrdN4kfYJa1x900EFmlNzXX38t06dPl3POOcepxwICCCAQqYA9n2+k9WNR75FHHjGf4crLyyU7O1uOPfZYk95e+6Lzxb322msye/ZsMzL4oosukjvvvFNSUlJicWjaQAABBDwloA+8UBBAAIFEEbjxxhvl2muvNQ/zDRw40GR96d27d6KcHueBAAKdWIAAcCe+eHQdAQQ6TkBTMNsl0ieW7ZEmgfvabbT2etVVV8m3334rWVlZMm3aNJMqsLV92I4AAgi0RyDwXqX3OQ1WtFTse5zW0bTN0RQN8Nrlpz/9aZPgr71eX7VPt9xyiwkG63sdNUcAWCUoCCAQrUDgPS7w/tVSO3Y9DcoG3rda2sfe9tRTT8n5559v3k6ZMkVeeOEF0XnNA4tmO/j1r38tjz32mNx7773m895dd90VWIVlBBBAwHMCgffTaL8b68kE7u+5k6NDCCCAQAsC+lCfDtZ46aWXTC2d2uPNN98UDQJTEEAAAS8IkALaC1eBPiCAQKcTyM/Pd/ocyTxwmirQTnFaUFDg7BvJgs5zed9995mqt912W9g5L3mKOhJN6iCAQKQCOl+lXSK5zwXO+xt4j7TbaOk1cB64gw8+uKWqotv1YRgtc+fObbEuGxFAAIFwAoH3uJKSknDVmqwvKioy76P9LKeZXOzsLbqv/kgYHPzVhvXhmYcffljGjx9vjqNB4JUrV5pl/gcBBBDwqoDP55OcnBzTvUg+M2rFwM+N0d5TvepAvxBAoGsJ6HRFkyZNcoK/RxxxhHz88ccEf7vWPwPOFgHPCxAA9vwlooMIIOBFgQEDBjjd0g99rZUNGzZIfX29qaZzgURa9GlCHd2mwd299tpL9ttvP5k3b17IP62rpaamxtk+f/78SA9FPQQQQKCJQOBTy3oPa61o6ma7RHOf030C76l2cNduK/g1OTlZ+vfvb1brj4yB6aOD6/IeAQQQCCcQeI+L5LNcaWmp2IHiwsLCcM2GXP/ee++JHTzW+csDH3oJ3kHvcaeddppZrQ8Q/vvf/w6uwnsEEEDAcwL2PXXjxo1m2qLWOvjdd9+ZKppRwf5c19o+bEcAAQS8IrBkyRKZMGGC2L+5/eY3v5HXX3+9xc94Xuk7/UAAga4lQArornW9OVsEEIiRgAYrcnNzzajexYsXt9rqggULnDq77767s9zagn4xXrNmjan2xRdfmCBwa/tooOZHP/qRqabptDSdIAUBBBCIVmDMmDHOLosWLZIDDzzQeR9qYeHChc7qaO5zutNuu+3m7LtlyxZnOdyCBkW06LyZGiyhIIAAAtEK6Gg1DVjoZy39EU8ftmtpXuDAe9wee+wR1eECR/EOHTq01X0DH4qxPwe2uhMVEEAAgQ4U0LSn+r24trbWTF00cuTIsL3RdPo6vZEWrZeWlha2LhsQQAABrwksW7ZMDjnkENm8ebNoBoQHHnhAzj33XK91k/4ggAACRoBfzPiHgAACCLRBQH8gPOCAA8ye+sPc6tWrW2zl/fffd7brB0UKAggg4HWBwIBv4D0sVL81A8Hnn39uNmkwd5dddglVLew6TZ1ll08//dReDPmqPyzao0Z0xAgB4JBMrEQAgQgE7PucpiINfFgv1K46itcu0X6W0xFudrEzttjvQ70G1gncN1Rd1iGAAAJeEDjooIOcbrT2ufGjjz4ygWLdIdr7qXMQFhBAAIEOENi0aZMceeSRJvirD6/otB4EfzvgQnBIBBCIWIAAcMRUVEQAAQSaCpx66qnOiunTpzvLwQuakvm5554zqzXl3+GHHx5cJex7fSK6uro6or999tnHtKOpV+197FSFYQ/ABgQQQCCMgI7iHTFihNn6n//8p8lcbcG7/OMf/xAdzaHlJz/5SfDmVt9r0NgeBfyvf/1Ltm3bFnaft99+29zjtML+++8fth4bEEAAgdYETjnlFKfK008/7SwHL2jWAfuzXnp6uhx77LHBVVp8HzjqVzO6tFa++uorp4p9H3ZWsIAAAgh4UOCkk05yHspr6X6qXZ82bZpzBm353OjszAICCCDgooBmiznjjDNMlj4dFKKfDY8//ngXe8ChEEAAgegFCABHb8YeCCCAgBE4/fTTnVFut99+uwSm9wskuummm8SeW+68886Tbt26BW42yxogfvDBB81fYOBDP1TqU4WR/Nmj4IL3aXYwViCAAAIRClxyySWmpo5G+93vfhdyr61bt8r1119vtmna+fPPP79ZPb0/2vc4nRspVNF5k7TosX71q1+ZdKzB9SoqKuQPf/iDs/rMM890lllAAAEEohXQH+0GDx5sdtN71Ndffx2yiXvuuUc03Z+Ws846S/Ly8prVe/HFF5373Pfff99ku4401qlDtLzzzjsSGOBtUtF6o+kE9aEaLTr696ijjjLL/A8CCCDQkQLr1q1z7nEvv/xys65o6noNAmv5+OOP5dlnn21WR1fMnj1bnn/+ebNt3LhxjAAOqcRKBBDoCIF///vfzn0uVJa/J554QuyMMJdddpmcdtppHdFNjokAAghEJZBkPb3ij2oPKiOAAAIIOAL69PLUqVPNe01F+ve//12OOeYYyc7ONgHhe++9V+666y6zXb8U6/xxPXr0cPa3F4YNGyYrVqwwb/VHQf0yHG2ZMGGCaOpU/SFz1apV0e5OfQQQQKCZgKZb3muvvcy9SzdqwPXqq682o3U108DMmTPl8ssvl6VLl5p9//rXv8o111zTrB0NjNgjPDSYESoIXFdXZ0b02qmkdYTdzTffLGPHjpX6+nrzg+EVV1whc+fONe1rykA9vj70QkEAAQTaKqCBjJNPPtns3qtXL9GH+k488UQTsF27dq089NBDcsstt4iOAu7Zs6cJEvfu3bvZ4fRe+eWXX5r1s2bNksB0qLryb3/7m7l/6nKfPn3k/vvvlxNOOMEEeXWdFg2aXHDBBc49Vx+G0XoUBBBAoK0Cn332mSxatKjZ7np/0ewt+fn55r4XXOHoo4+WwHudPrxyxBFHmGoTJ04096vgfZYvXy577rmneZgvNTVVbrjhBjn77LOlX79+JpPMjBkz5Pe//71olip9wEUDKXYq/uC2eI8AAghEIqCfz5566qlmVfV74jPPPGPW63fYQw89tEkdnbJIf7sLLFOmTDHfL3WdZqUKHN2rmf123XVXM7hDv3/q73w5OTmBu4dd1nvmqFGjwm5nAwIIIBBPAQLA8dSlbQQQ6BICOirutttua3Ku+oVWAxZ20R8M9UuzfiEOVQgAh1JhHQIIeEFAHyiZPHmySXVl90fvcfplO/A5wp///OcmpZ+djcCuq6+RBIC1nmZLOOyww5yAsq7TrAkaiNYAsV00KPzuu+86WRjs9bwigAACbRG48cYb5Y9//GOTXYM/y+k0HvrwSrjU860FgPWeqcHdRx991DmO/nCoPybqsXRu8y1btjjb9CEYvXdqymkKAggg0FYBfVDvjjvuiHr34AdZIgkA60Fee+010amS7KlBdJ3P52vyOU4/K2rWBc2ORUEAAQTaI6DfEzVjXrQl1IMsLQWAlyxZIqNHj472MKa+PsynD91QEEAAgY4QIAV0R6hzTAQQSCiBW2+9Vf75z3+KzpdpFzv4q+lQNSgyb968sMFfex9eEUAAAS8KDBkyRHTOSg1cZGVlmS7qPc4O/g4fPlwee+wx0fneQgV/ozknzaSgI1X0x0o7XWplZaXzo6GOUtEU0JrtQJ/apiCAAAKxENDMBTrXuQZx7WJ/ltMfFTXFn47uDRf8tfdp6VXvj4888og5zsEHH2zul6WlpTJ//nzTth38HT9+vHmY5tVXXyX42xIo2xBAwJMCOqJOP8vpCGJ9uEWL/RCfjprT7Ajvv/8+wV9PXj06hQACCCCAAAKJJsAI4ES7opwPAgh0qMCaNWvMyDUNWGjKLE3lnJmZ2WqfNJBiB1PaGkCJRRutdpQKCCDQpQU07bMGK3R+Sw2KaPBXMxhEUnT0mxb98S+StM2aZmvBggWyYcMGEygZOHCgSQdt/5gYyTGpgwACCEQroPNcLl68WHTOcc3gotlbdGqP1kq0n8O2b99ujqPzqOu+Oq+wpgfk4ZbWpNmOAALRCATem6LZL9R30mg/yxUXF5vPjXq/04wH+sA097horgJ1EUAgEgH73hRJXbtOqO+kgffLlu6BdhuRvoZqK9J9qYcAAgi0V4AAcHsF2R8BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDwiAApoD1yIegGAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg0F4BAsDtFWR/BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwCMCBIA9ciHoBgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIINBeAQLA7RVkfwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQMAjAgSAPXIh6AYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDQXgECwO0VZH8EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDAIwIEgD1yIegGAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg0F4BAsDtFWR/BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwCMCBIA9ciHoBgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIINBeAQLA7RVkfwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQMAjAgSAPXIh6AYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDQXgFfextgfwQQQAABBBBAAAEEEEAAAQQ6s0BDQ4NUVlZGdQppaWmSmpoa1T5URgABBBBAAAEEEEAAAQQQQMANAQLAbihzDAQQQAABBBBAAAEEEEAAAc8KfPrpp7L//vtH3b/MzEwpLCyUcePGyeTJk+XUU0+VgoKCqNthBwQQQAABBBBAAAEEEEAAAQRiKZDkt0osG6QtBBBAAAEEEEAAAQQQQAABBDqTwJw5c2TixInt7nK3bt3kyiuvlGuvvVZ8Pveft9bz+POf/+ycx6uvvtoh/XA6wAICCCCAAAIIIIAAAggggECHCLj/jbRDTpODIoAAAggggAACCCCAAAIIIBBfAU0jrQHYhQsXyksvvSRJSUnxPWBQ60888YS88cYbzlpNbU1BAAEEEEAAAQQQQAABBBDoegLJXe+UOWMEEEAAAQQQQAABBBBAAAEEWhfIysqSnJycZn+6vqXg7ssvvywajHWz1NbWmqCzm8fkWAgggAACCCCAAAIIIIAAAt4UIADszetCrxBAAAEEEEAAAQQQQAABBFwSCDcz0ty5c2XHjh3N/srKykRH+3788cdyyimnhOzlAw88EHJ9vFa+/fbbUlRUFK/maRcBBBBAAAEEEEAAAQQQQKATCZACuhNdLLqKAAIIIIAAAggggAACCCAQe4GWRvOGO1p6erqZN/jFF1+UI488UjQAG1i++uor0VG5qampgatDLmuq5gULFsjixYtly5YtZnRxr169ZPz48TJq1KiQ++jK8vJyqaioMNunT5/erJ62lZaWZtZrP3r06NGsjr2ipKREvvjiC1m1apWUlpZKcnKyaB/22GMPGTNmjF2NVwQQQAABBBBAAAEEEEAAgU4gQAC4E1wkuogAAggggAACCCCAAAIIIOBdAR0FHBwA1qCuBmhbCrrqiN1bbrlFnnzySRP4DXWGGny97rrr5LTTTmu2WecbvvXWW5utt1cMGDDAXpQDDjhAPvzwQ+e9vaDrbrrpJvnvf/8rdXV19uomr4MHD5YrrrhCLrzwQhMYbrKRNwgggAACCCCAAAIIIIAAAp4TIAW05y4JHUIAAQQQQAABBBBAAAEEEOhMAhkZGc26qyOEc3Nzm623V2j6aA3uagBXR+qGK4sWLZLTTz9dzjrrLKmvrw9XrU3r//jHP8pBBx0kb775Ztjgrza8evVqufjii+W4446T6urqNh2LnRBAAAEEEEAAAQQQQAABBNwTIADsnjVHQgABBBBAAAEEEEAAAQQQSECBWbNmNTsrDaxqGuVQRdNDH3HEEbJx48YmmzVd85577mkCw8H7Pv3003LppZc2qd+eN/fff7/ceOONzZrQVNGFhYWSnZ3dbNvrr78ul19+ebP1rEAAAQQQQAABBBBAAAEEEPCWQJLfKt7qEr1BAAEEEEAAAQQQQAABBBBAwD2BOXPmmPl8g4+4ZMmSFufg1ZTJDz/8sPz6178WTfkcWDSl8pQpUwJXmWXdZ9y4cWa+38CNmuL5wQcflPz8fLN65cqVZuTv3LlzA6vJ7NmzZdKkSWadblu4cKHU1NTIBRdc0KSevnnkkUfE52uc+al3795y9NFHmzo6x+/AgQNF5/0NLD/72c/M+WjwV/t57733ymWXXRZYRVJSUmT58uWiaaEpCCCAAAIIIIAAAggggAAC3hQgAOzN60KvEEAAAQQQQAABBBBAAAEEXBIIFwA+9NBDJScnp1kv9Dnq4uJiE3zdvn17s+0333yzXHXVVc3W64rp06fLL37xiybbRo8eLToqWEffBpZNmzbJiBEjZMeOHc5qDeK+9tprzntdqKiokKysrCbr9I2ma9ZRxcElVB80jfXmzZubne/+++8vn3zySZMm7rjjDvntb3/bZB1vEEAAAQQQQAABBBBAAAEEvCPQ+Ciwd/pDTxBAAAEEEEAAAQQQQAABBBDwhMDMmTMj7oeOjD3kkENE59XV13DlySefbLZJR+8GB3+1ko7a1VG5Dz30kLPPW2+9Jdu2bZOCggJnXbQLw4YNk9tuu03KyspERwPra8+ePZsFf7XdyZMnNwsA66hjCgIIIIAAAggggAACCCCAgHcFCAB799rQMwQQQAABBBBAAAEEEEAAgU4iMGDAAOnfv7/oqF1NyRxq5K2u/+ijj5qd0cSJE5uts1cceOCBTQLA9fX18sEHH8hJJ51kV4n6VY/X0jEDG9TAcHAJNeo5uA7vEUAAAQQQQAABBBBAAAEEOk6AAHDH2XNkBBBAAAEEEEAAAQQQQACBBBFYs2aNPP300+Zv0KBB8vjjjzebA1jnztUgcHB55ZVXTFA3eL2+X7FiRbPV8+fPb1cAuFmD1or169fLhg0bTDppnf+3trbWzAO8aNGiZtU1BTYFAQQQQAABBBBAAAEEEEDAuwIEgL17begZAggggAACCCCAAAIIIICACwLhApqPPPKIDBw4MGQPNEiqo30///xzmTFjhpkT2K6oweCjjjpK/vOf/8gRRxxhr5aNGzc6y4ELN954Y+DbVpdXr17dap1IKujcx/fcc4+8/fbbJq10JPtQBwEEEEAAAQQQQAABBBBAwPsCBIC9f43oIQIIIIAAAggggAACCCCAQAcIaPrlUaNGtXjk//3f/5WbbrpJTjzxRPnwww+dujqCdurUqbJy5UpJT0836ysrK53t7VnQOYDbUzTgffnll8udd97ZnmbYFwEEEEAAAQQQQAABBBBAwKMCBIA9emHoFgIIIIAAAggggAACCCCAgDsCSUlJ7TpQfn6+PPPMMzJ48GAJHE2sKZXfeustOf744037Pl/or+D77befpKamRtyH4cOHR1w3VMWbb745ZPC3b9++sv/++0u/fv2kW7duov3VEc7vvPNOqGZYhwACCCCAAAIIIIAAAggg4FGB0N8+PdpZuoUAAggggAACCCCAAAIIIICAFwUKCwtF/zT9c2CZN2+eEwDOy8sL3OQs/9///Z8Jujor4riwfft2CZVyWkcyP/jgg80C0TpKmABwHC8ITSOAAAIIIIAAAggggAACcRBIjkObNIkAAggggAACCCCAAAIIIIBAlxPQeYGDS0VFhbNq1113dZYDF77//vvAt3FdnjlzpgT2SQ+mo4/vuuuuZsFf3RZu3mLdRkEAAQQQQAABBBBAAAEEEPCmAAFgb14XeoUAAggggAACCCCAAAIIINCJBL755htZv359sx737NnTWafLmiY6uMydOzd4VUzeB6ajthtcvXq1vei8aurn7Oxs533gwptvvhn4lmUEEEAAAQQQQAABBBBAAIFOIEAAuBNcJLqIAAIIIIAAAggggAACCCDgXYFt27bJWWedFbKDOr9vYLHnAw5c9+STTwa+bbKsaZlPOOEEOffcc+Waa66Ru+++W1asWNGkTrg3RUVFzTY1NDQ0W1dcXNxk7mK7wj//+U9ZsGCB/dZ5ra2tdZZZQAABBBBAAAEEEEAAAQQQ8J4AcwB775rQIwQQQAABBBBAAAEEEEAAARcFQo2U1cP/5z//kS+//DJkT3QfDbBqgPTFF18UnVs3uIwePVoOPPDAJqsvvPBCue+++yQwEPvpp5/Kn/70J7n++uub1F22bJn84Q9/aNJ2VlaWnHHGGU3qaQrnUGXGjBnym9/8psmmAQMGNHmvb0pLS+WFF15o0u7rr78uOi9wqLJq1apQq1mHAAIIIIAAAggggAACCCDgEYEk60ur3yN9oRsIIIAAAggggAACCCCAAAIIuC4wZ84cmThxYkyPm56eLu+//75MmDChWbsXX3yx3H///c3WT5o0SY4++mjJzMyUxYsXy/PPPy9lZWVN6t16661y5ZVXNlmnb/r06SObNm1qsj4lJUV0xLGmeF6zZo0JaOt8w4WFhRI8X7FdV9uZN2+eqImW3XbbTXJzc0WD1IHluuuuM+em8xqPHDkycBPLCCCAAAIIIIAAAggggAACHSxAALiDLwCHRwABBBBAAAEEEEAAAQQQ6FiBWAeACwoKTPD28MMPD3li1dXV8uMf/9gEiENWCLPy9NNPl+eee06Sk5vP5vTLX/5SHn/88TB7ivh8PrFTN5933nny6KOPhq1rb9B5gWfPni0vvfSS/OUvf7FXN3m988475dJLL22yjjcIIIAAAggggAACCCCAAAIdK9D8W2PH9oejI4AAAggggAACCCCAAAIIINApBTTwe/nll8uSJUskXPBXT0xHB7/55ptyySWXhAzmBp98RkaGSREdLvir9W+44QYz0jd431DvNWg7efLkUJucdf3795d33nlHxo0bJ7/61a+kZ8+ezjYWEEAAAQQQQAABBBBAAAEEvC3ACGBvXx96hwACCCCAAAIIIIAAAgggEGeB5cuXmwBqNIdJSkoSnXs3Pz9fhgwZIj/60Y9kn332MSNto2nn22+/lWnTpsl7770nOudvcXGxaNvarqZf1pHC55xzjknx3Fq7GzZsMCN133rrLdm4caPpS69evWTEiBFywAEHyDXXXOM0UV9fL0899ZT5mz9/vpSUlIjOL6zHPPnkk+Wiiy4yqZ/tHdTopptukrlz50pVVZVosHvMmDGm3vjx4+1qvCKAAAIIIIAAAggggAACCHhAgACwBy4CXUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRiIUAK6Fgo0gYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDgAQECwB64CHQBAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQiIUAAeBYKNIGAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg4AEBAsAeuAh0AQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIiFAAHgWCjSBgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIOABAQLAHrgIdAEBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCIhQAB4Fgo0gYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDgAQECwB64CHQBAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQiIUAAeBYKNIGAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg4AEBAsAeuAh0AQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIiFAAHgWCjSBgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIOABAQLAHrgIdAEBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCIhQAB4Fgo0gYCCCCAAAIIIIAAAv/fnh3TAAAAIAzz7xoTHDtqgJByQoAAAQIECBAgQIAAAQIECBAgQIBAQMABHBhBBQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDwEHMAPRRkECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAICDiAAyOoQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgYeAA/ihKIMAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIBAQdwYAQVCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8BBwAD8UZRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCAg4AAOjKACAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEHgIO4IeiDAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAQEBtLcHoO9rL0PAAAAAElFTkSuQmCC width960 />Each point on the graph above represents an individual stock. Thex-coordinate of a point is a measure of the asset’s market risk (beta).The y-coordinate represents the asset’s expected return. The two SMLlines describe the relationship between expected return and beta(systemic risk) for an assets. If a point lies above its respective SMLline, this suggests that the assets provides a higher return thanexpected for the level of risk. Conversely, if a point lies below theline, its expected return is lower than expected of the asset’s riskprofile. As can be observed in the graph, the assets in the odd samplegenerally exhibit a higher expected return for their level of risk whencompared to the even sample. Furthermore, very few individual stocks aresituated below their SML lines, indicating that the portfolios aregenerally well optimized for their given risk tolerance./p>h4 idinterpreting-results-1>4.3 Interpreting results/h4>p>To compare the CAPM optimized portfolios, we will construct the sametables showcasing returns, volatility and Sharpe ratios. Once again thecode chunk will be omitted for increased visibility./p>h5 idsummary-tables-1>4.3.1 Summary tables/h5>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Returns wo/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>16.746171/td>td styletext-align:right;>17.682685/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>9.366497/td>td styletext-align:right;>9.239863/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Volatility wo/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>15.20207/td>td styletext-align:right;>15.36136/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>15.48812/td>td styletext-align:right;>15.27800/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Returns w/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>16.277822/td>td styletext-align:right;>16.855742/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>8.630352/td>td styletext-align:right;>8.587221/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Volatility w/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>14.75410/td>td styletext-align:right;>15.07132/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>15.19281/td>td styletext-align:right;>14.87441/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Sharpe ratio wo/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>1.0357909/td>td styletext-align:right;>0.5393286/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>0.5401879/td>td styletext-align:right;>1.0860164/td>/tr>/tbody>/table>table class lightable-material lightable-striped lightable-hover stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto;>caption>Sharpe ratio w/ short selling/caption>thead>tr>th styletext-align:left;>Estimation/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>/tr>/thead>tbody>tr>td styletext-align:left;>Odd/td>td styletext-align:right;>1.0669320/td>td styletext-align:right;>0.5418581/td>/tr>tr>td styletext-align:left;>Even/td>td styletext-align:right;>0.5051359/td>td styletext-align:right;>1.0510271/td>/tr>/tbody>/table>p>We can observe the same relationships in the CAPM optimizedportfolios when compared to those that were not optimized using CAPM.Returns and volatility are higher for the portfolios that are long-only,while the lower volatility in portfolios with short selling highlightsthe possibility for greater risk management using short selling. Onceagain, the Sharpe ratios are higher for portfolios that are long-onlywith the exception of the in sample odd portfolio with short selling,however these differences are marginal. More interestingly though,returns are lower for both long and long/short portfolios optimizedusing CAPM compared to those that were not. Volatility is also higher inthe CAPM portfolios. The Sharpe ratios are lower in CAPM portfolioswithout short selling, while they are identical in those with shortselling. The observed results point to some criticisms of the CapitalAssets Pricing Model. Firstly, the model assumes that return is solelydetermined by its beta, which is not applicable to real world scenarios.Furthermore, mean-variance optimized portfolios seek to identify theportfolio that maximizes the level of returns for a given risk level. Asthis approach is consistently outperforming CAPM optimized portfolios,it is reasonable to conclude that it is beneficial to utilize a morenuanced understanding of risk and return rather than relying on betaalone. This does not mean that the CAPM model is without value, as ithas been influential in financial theory and practice, however when itcomes to constructing actual portfolios there are more effectivestrategies available./p>h5 idweight-of-spy-in-capm-portfolios>4.3.2 Weight of SPY in CAPMportfolios/h5>div classsourceCode idcb9>pre classsourceCode r>code classsourceCode r>span idcb9-1>a href#cb9-1 aria-hiddentrue tabindex-1>/a>span classco>#Weight of SPY in CAPM/span>/span>span idcb9-2>a href#cb9-2 aria-hiddentrue tabindex-1>/a>capm_spy_weight span classot><-/span> span classfu>data.frame/span>(/span>span idcb9-3>a href#cb9-3 aria-hiddentrue tabindex-1>/a>  span classat>Estimation /span> span classfu>c/span>(span classst>"Odd"/span>, span classst>"Even"/span>, span classst>"Odd Short"/span>, span classst>"Even Short"/span>),/span>span idcb9-4>a href#cb9-4 aria-hiddentrue tabindex-1>/a>  span classat>Weight /span> span classfu>c/span>(/span>span idcb9-5>a href#cb9-5 aria-hiddentrue tabindex-1>/a>    capm_w_oddspy_index, /span>span idcb9-6>a href#cb9-6 aria-hiddentrue tabindex-1>/a>    capm_w_evenspy_index, /span>span idcb9-7>a href#cb9-7 aria-hiddentrue tabindex-1>/a>    capm_w_odd_shortspy_index, /span>span idcb9-8>a href#cb9-8 aria-hiddentrue tabindex-1>/a>    capm_w_even_shortspy_index/span>span idcb9-9>a href#cb9-9 aria-hiddentrue tabindex-1>/a>  )/span>span idcb9-10>a href#cb9-10 aria-hiddentrue tabindex-1>/a>)/span>span idcb9-11>a href#cb9-11 aria-hiddentrue tabindex-1>/a>/span>span idcb9-12>a href#cb9-12 aria-hiddentrue tabindex-1>/a>span classco># Display SPY weight as a bar chart for better visualisation/span>/span>span idcb9-13>a href#cb9-13 aria-hiddentrue tabindex-1>/a>capm_spy_weight span classsc>%>%/span>/span>span idcb9-14>a href#cb9-14 aria-hiddentrue tabindex-1>/a>  span classfu>ggplot/span>(span classfu>aes/span>(span classat>x/span>Estimation, span classat>y/span>Weight, span classat>fill/span>Estimation)) span classsc>+/span>/span>span idcb9-15>a href#cb9-15 aria-hiddentrue tabindex-1>/a>  span classfu>geom_bar/span>(span classat>stat/span>span classst>"identity"/span>, span classat>width/span>span classfl>0.5/span>) span classsc>+/span>/span>span idcb9-16>a href#cb9-16 aria-hiddentrue tabindex-1>/a>  span classfu>theme_minimal/span>() span classsc>+/span>/span>span idcb9-17>a href#cb9-17 aria-hiddentrue tabindex-1>/a>  span classfu>labs/span>(span classat>x /span> span classst>"Estimation"/span>, span classat>y /span> span classst>"Weight"/span>, span classat>title /span> span classst>"Weight of SPY in CAPM Portfolios"/span>, span classat>fill /span> span classst>"Estimation"/span>) span classsc>+/span>/span>span idcb9-18>a href#cb9-18 aria-hiddentrue tabindex-1>/a>  span classfu>theme/span>(span classat>plot.title /span> span classfu>element_text/span>(span classat>hjust /span> span classfl>0.5/span>))/span>/code>/pre>/div>p>img 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nnkvd3rAbKIOVzfGWGZpL1XyZadu0VQ6ZO1XO+9tXex/+8Ieb7XL9nnzyyUtsVwb8ptXpt69l0G5q3XXXbbb9t3/7t6kyQLdE+2U24VQZ/G7qnXjiiUvU6VxQBkOn2t+bMoDeWWVBfC4zoqfKYH5jk3tGGayc9dji/O53v3uaa5nlPVUGG2fdNhXKLPRmn2Xm5lQ5RHjzeZ999umrjVQqA/TNdrlX9VtyDZTDVjfbPuc5z+m6aTnXdFUndR/1qEdV78t5hAe6J+Y+UT7AU21bBtabfZYPVHTdZ78LH/vYxzZt7bfffn1tlr4873nPa7bLd7IMuve17bKs9KxnPavqY67NmUoZUG+O5aKLLpqp6lDWlcHyZn/lQx1DaVMjBAgQIECAAAECBAgQWJYCc08NGNuQto4RIECAAAECBCZboD0Mc4bwnC2L7Pvf/34152mOOtnC9TC7nVnB3VTaWXTJDEzW2mwlWWaZLzVD7M73sKLJRk3W57BL2vzzn/9cZZ7103bmH81xz2dJxmEy4ZKpuDTHXJ//ufY181DX5cUvfnHXbMl6ffs1mcfJJk1JH77yla+0VzfLl1jYx4KHPvShxbHHHtvUzBC7ue47Sxm4K8oAfbN4jz32qLKBmwVd3hx44IHNkNWZX7gMdnaptWwWJVs236t8v3I9DLNkDt9kh6Yk2zLZse15w3vtK9nkb3jDG6os77pOvg+f/OQn648zvmbo7ro8//nPr+YCrj+njfm+hzzzmc+sMtjrfZ500knFVVddVX9c4jX9ybDJKamX+v2WZJzX2dXbbLNNv5vNWm8u3+lksH/6058uysB20/7RRx/dvJ/tzQ033FBdi5kLvHP47tm27bb+2muvLZKRXP6xY9rqjFYxaBnUIxnhua/m/tq5/0H3vbT18zstDvkuLu13PG3lepvv301Le8y2J0CAAAECBAgQIEBgNAICwKNxt1cCBAgQIECAQE+BpzzlKU0QN4HAH/zgBz3rZkU70Jtt6yFV28Hdbg3kj/rf/OY3m1XtwHOz8F9vMpz0O9/5zuJhD3tYNTRumY1Z3P3udy8yFGv2lwBRAqozlcxN++hHP7r6mWkuzrPPPruas3Kttdaq9lVm+xV3vetdix133LHIELQpcanb6tbv9h/562BB/lh+yCGHVP1NmxmKtszwq4alTaCzzHRdovtvetObqv1kzsm6lJnVzb7Th/a+6jr9vmbO2bZr+rPeeusV6V98c8y9zv8RRxzR9CPDJdelzPprlicAOmiph43Ndu3gUT/tZK7XM888s0iwpx3462fb2epk+N72nLoZOrZbOfTQQ4vM4ZuSoM8b3/jGbtWqZRkS+UMf+lCz/uMf/3hl3yyYw5snPelJjX/nHLsJ7NbX7c4779y0nsBhmeVZrLbaatV5z/crAbzHPe5xRXvu02aDAd/ke1MPcZ1NY5IHPgYpmSO57mOGA+82jHJne7/+9a+L733ve9XiHFOCouuvv341f3QWXnnllcUJJ5xQrZ/P/7S/vwm65bzPVP7jP/6jWZ1hoPst9fDPOXexGnXJAz077bRT041e35m6wre//e0iQfrce+prMUPA53jycMfhhx/eBLjrbdqvGdq7vr7rudIz5HZ+b5SjCVRzhmcu6TITuaqXaQHqubpzL6y3zWseRHnve9/bLMvDEXUps7ib5bkuO0vuyblPJ5Cfe2qmVch9tX6f4c7zXZ/t4arOdtufc9+o+1uOftBetcT7zAud3zH3ute9KsvMnb7OOutUvz8zr3Z+LyU4PVtJMD51t9pqq+qYcl7WWGON6sGt/D577nOfW5QZ70v1O2m2PlhPgAABAgQIECBAgMAECZT/OFIIECBAgAABAgTGTCBDrJb/S1n9zDZM6sYbb1zVy3C9ZXBjqszqa7YtAz89j6wMgjT1yiDpVBks61q3nIN1qgzGNnXrfnW+ZljWck7Xrm1k4SabbNK0kTa7lTKoOW2o2c59rLTSStWwteXcsE1b5R++l2iqPQR0GcyZKv9wPvWQhzyk2aaz3XyO3znnnDOtrfIP6jNuk+1iPpdSBuj7cs0+ck7LYMW03ZSBj1n7VgYopm3Tz4dybt2m3b322qufTfquU2buNm3nuPodArreQbtv5Ry/9eIlXsvM+alc09lHXsts4SXqxLN9Tb785S9fos5cFuQ6yn7zUwZApzWR67Bel2Gsy4cwprLfelmv1/e85z3T2hn0Q85j3XY5j/NUhr2eS8k9oswM7XvTMuu42W/5kEizXXvo+X6HaJ/rEND1TsuHSJq+lJmw9eLmtR4COk7lHNLNtZEhxctAflOv15vck+prLsNMl8HUZn9LOwR0jOrz1+8Q0HU/2/fC293udvXiaa/lAzVT/dzr0ocyeDlVBjSnbV9/KB/safpZPmBQ/U4p531ulmX7vffee+oLX/jCtGX1sbVf//u//3uqHNFi1nrlQxL17qvX8iGLqdz32m31ev/ABz5wKsPSdyuzDQGd46jbbV/b7bZyj3nZy17W1Kvrd3stg9NT5cNc7c2nvS9HVKh+R3XbtnNZTMqA+rTtfSBAgAABAgQIECBAYPEJrFj+Y0EhQIAAAQIECBAYM4HtttuuyDCrKV/96leLMgDUtYeXXHJJkxWb4W8zXGsyz+rhWZMFvNFGG3Xdtp05vNlmm1XZWZ0Vk72XvtSZUptuummx++67F6mffV1wwQVFst6SrZVhNl/0ohdVmWP1EKqd7c30OZmOGaa2Lg960IOKDCu84YYbVm2feuqp1b6SzZfs17qUQY36bfNa/m998z6ZbMkYO/fcc4tk9m2//fZVNlgZ5Kky0ZLhl+yyfC7/WF8kY60uyYbLMZcB62bI4WTCxaQucRi0JKs3Rp2u2VeO509/+lM1RG9sk7GY85ljqs9r9pfM52TnpRx88MHVMeR9GZiosprzvp0xm8/9lAy3XA8D/YlPfKIyybkYh9IeinaFFVbo2aVkmu66667FRz/60crtFa94RXX+y/ldm23ynfrFL35RfU52YLIb57tk6OW65PuSfWZY3mTR57rOdzXH+Mtf/rLKoM73OyXZlLmG+8m6rdtvv7aziHP9J8N8LiWZi/2WZNy3h+3Od6suyVJ/7WtfW2WTnnbaadV95AEPeEC9el5e+712svN855I5m2zVbJfjyGgAM5VPfepTTeZlMvfb96CZtpvvdbMdd/qZYbLr0SBy/8l3J5nsyQTOUND5XZSM1zJYWmXsZl2yqMsA6rTut79fub7L+Z6rzNZk4Oa+UgbIq8zX8qGlKpM1ow3UGfi5T9dZw2n0wQ9+cLHmmmtWfcjnt7zlLc2QyeVDUUX5IEMWFxm2vS7pa7775513XrUo22cUhCzLKBIZySLZuB/84Aer4zj//POLZAOXD/5U6+t2hvWaa6icA7tqLt/9fAdy3899OaM2ZL8ZKSGZ0xlu/BnPeEb1eyYZ0+1SPihTff/znUpJ5nSyfTPSQbK8kxmcobQz5Hfc83s7+/7yl7/cbsZ7AgQIECBAgAABAgQWm0D5Dz6FAAECBAgQIEBgzATamVTl/59OlQHBrj1MJlvW5+f9739/VacMGjXLymFzu26XheUfkZt6b37zm5eol0y/csjKpk6yUMu5BpeolwVvfetbm3plUHKqHAJ4iXrtbMvODOAySDFVBsGaNp7whCdMlX8gX6KNZJ4l07gc9rKpWwaOlqiXTOTaJRmZycwrg6lL1MuCcqjQpm62Kf8Yv0S9Aw44oKlTzjG7xPpBFiQrrAzkNe2VAbmpMgDdtYmTTz65ySpM3zrd6o3KoUCb9n73u9/Vi+f0mqzVMljRtBfvcljlqXK43jm1195oaTOAy4BU06/6em+3336fLM4y0NLULwN4zepk/SUbsr5GyocLmnVL+2amDOAyONPsM/svh1CfeuELXzhVzju7xG6TbdvOniyDaUvU6WdBObRss88cb7Ivl0XJ96327ZaJXgYZm/X9ZJovTQZwskLrvuS1DJAtQZCM7LpOzMrgZPM9KANtVbb2Ehv9a0HuX+XQ1tX2GS0h3/HyIYqmvVFmAB900EFNPzJaRGcpA5DN+jIIO/XjH/+4s0r1OVnC7d8Z5YNGS9QrA69NW7nflwHYqWc961lVRvUSlcsF5UM5Tf383piplIHOpu7FF1/cterrX//6pk7uFcnK7lZybnNO6/NdPnyxRLWlzQBuZzln5IpcD91KvvtlQL3pS9xyPbVLO4O/HEq6vWra+3Iag6mMiFEfVxm4n7beBwIECBAgQIAAAQIEFpfA4OkK5b8mFAIECBAgQIAAgfkVyLyAmTOzLu1s3XpZXtvz/NbzViabMRlWKeXQt0WdNVQt+Nd/ku3angez2zy6yTat5zAtgyNVNmWvrMtkZz384Q+vWr/88surTN32/mZ7f/rpp1fZZamXjNrMJdvOJqu3T+bT+973vmqO2XpZt9dkmtUlx1oOF1yUAex60bTXZFZmXtK6tDOA62XDfC0DA0UZmKiaLAN8VQZoOzO0va9kiyWrui5l0LN+O2+vycTMvMR1SUbZgQceWF2PjyvnpC2D/UXmCs3yQUv5T61BN2nq51rPnL51KR8SqN92fc3cmLmO6vKud72ryqzN52Q41vMmZ27OzJ29LEo7Wzz7z3c1GejJ4ussybYtg8PN4jIw17wf5E0ZdJ9WvRwKfdrn+fpw1FFHNU235+CtF7aXJXu2DITVq4b+WgajmzaTadqZYdmsbL3JHK31fTHzgyersldJRn/54EW1Otm/ZcCvV9VlujwjDHz2s59t9tn5ncn38d3vfnezvgwWF1tuuWXzuf0m880mW72+t+Z3S+e9sn0fS3Z9snTLoZyreWrbbc3H+9zn29dcsnzvc5/7dN1Vzu2RRx7ZrMv1lwzcYZb2PTQjW3Ta1/vKdz+u9T0gbvUIDHWdtnN77vB6ff2aEQJyn0tWc7KN5/M7Ve/TKwECBAgQIECAAAEC4ysgADy+50bPCBAgQIAAgUUskD+yt4NSGQa6s2SY0voPxWXWz7ThOMvM36p6gkwZYrWzZLtsn5JhhLv90b8dOMhwrfUfqDvbqj9naOi6nHDCCfXbvl7r40jlMluwGtqy14b5w3aGJh2klJlhM1Yvs66a9X/+85+b9/Px5vjjj2+aTXA3gcqZSvsP/nHKMKfzXeKV4UTLeSmbXZXZ39W1lOGmy7l4q+BOrpvUzQMKGUZ7vkqGGi/nym2azzXSPmfNio43Gar2JS95SbU0/UsbH//4x5tgXh6yaA8n3rH5vH8s5zjt+qBDveMMm1uXdvC7XtbPax7IaJdBvzvtbft9/7Of/ax5wCTXd4Z87iwJwtbnMMG3MhO/s8pQPuc7k2u2Lvk+lZnX9ccZX9tB6gTqe5X20Ozt72uv+stiea73DH2e4HVKHt7Zbbfdpu0656l+GCXB29SfqWTI5wyBX5dyhIL6bdfXXN8ZUnpZlDwgUmYpV7vK9zrDWs9U8vu1HkI/Vr0espqpjV7r8uDU2Wef3azOVAYzlTwIUv/OTr1O13qqgKwrs9Pz0rPkoZE8oJPh+/PAlEKAAAECBAgQIECAwOIVEABevOfekRMgQIAAAQJjLlBnn6Wb+YNuAnDtkozAq6++ulrU/uNxFmy77bZN1XaWcL2wvSx/CK+zuur1yRxqZxxmDsXZSrJD65Jt23NP1st7vWbO07pstdVW9duurwlkzPbH/faGyYpqzxPZXle/TyZuXerM0PrzsF/POOOMpsm2WbOw40086szRBCoyl/GyKMlkTPAoc+V2mwM4DxBkbtBkZD/5yU+u5pDOnKmdAceZ+ppstwRKuv3EqRzKuwraZm7kej7cZHBm3sx+S7Km67lrk/XeDsakncwTOqoy2/cq85bWZa7XZWcWYDI557u0z0/m0e61z3ZQP/M191tyb+l2zWRZrslkpyZgWw4/XAXW6lEQkhH6tre9rd/dVNd1PRJDHtxIlmlnSdAxWf0pW2yxRRPU7qy3NJ/bmfOXXnppz2PPfTcPCx1yyCHVfNLJbK3LG9/4xiXmg2/fizLnbvs+WG/X+Zq55usS65lKHhRZVqV9LOXw1M09s9f+c09tB0jLaRd6VR14ebsv5TQKfc3d3Xbt7Ev7/pt77K9+9auB+2QDAgQIECBAgAABAgQWn8CKi++QHTEBAgQIECBAYDIEEsRN1m2yfxJ4OPPMM4vHPOYxTefbGUudAeCtt966yixM8Cf1OocObgeAt9tuu6bN+k2ywhJsrMs111xTJFtsppIgRbLIEqhOwKWct3jWwGvdXj3UdD4nYDtb6Zax3GubZFfNVnoNbT3bdoOuv+6664py/slmswytPVtJtmKyNusAaIKyswXJZ2uz3/XJ3txnn32qn1wT3/3ud4tyHuYiAY5yruBpzSSLM8HiDLucjMhuQfrOBw0SoBukJCCaTNF2QGS27RPgTUCy7k+d+Z7AZL1stjaGtb7z+JO5P1MZxnXZORxx7gnzmZWZazzD/talHeStl9WvecggAa30KcMon3/++dNGMqjrdb4mCz7B1kHKhhtuWJxyyikDBfxzP0sGeYbVzT0tDyS0RzrI/nM91sOhz1f2b/u6OfbYY4v8DFL23nvvKijcuU05F3az6P73v3/zfqY37Xp1dnGv+hlOflmV9lDn/dxX06/20P+zHcsgx9F27bcvbdc6K7veZ4aQLuckrq7BDDWeYH3+/yC/u/MQyUYbbbTEQ1z1tl4JECBAgAABAgQIEFi8AjKAF++5d+QECBAgQIDAmAusvvrqRTKZ6tIO+GZZHcRNJlNnplUy7uqMogTqLr744rqZKnBXB1wTHGpnC9eVrrzyyvpt9Zq2MhztTD+bbbbZtCzldqBzWmNdPiTAXJd+MjJnC5zVbeW1nyBaO8DS3nbY7zuH7+wn4y59aNfrbGPYfezVXgLzGX47Q4smUHfFFVcUJ554YrHHHnsUmVOzLnlY4bnPfW4VLK6XLe1rhqJOEOu8884r8nDDoOUZz3hG1ad6u3hmjtBRl87g7Hz0pz2Md9of5Hs5l/5k6PA6IJohnmd6WCPnof0QwCBZwP32LVm/CeCec8450wJ+/W7fDup2Gwa6nl84c5a/4AUv6LfZea+X+17mhc8UAO9973u7Bgjb95LO66RXB9v355nmzc2DK/0Otd1rX4Msb/elfb+cqY12vbbFTNv0s67dVr+u7b60jyX7S4A399raPhnw+f2/5557Vg/DJEs90wkcd9xxzdzm/fRTHQIECBAgQIAAAQIEFraADOCFfX4dHQECBAgQIDDhAhkGup4fN0N7HnroodUR5Q/M9TCRm2+++bS5WutDTmD3O9/5TvUxfyzeddddq/ftQHIyirvNQdvO/q3bG/S1Hna1n+3a++snKLYsAwv99L/fOp0ms82rXLfbNmnPB1mvH8VrsnGTQZufDAP94Q9/uMgws+lfsmxf85rXFBniuV3aQ9lmea7neh7Odr28T1D+jne8Y5HMuAQS+wnkd7bR/pxAZD3PbIKC7eGV2/UW2vvOjPoMt57jn69y1FFHNU1n3uIM3z1TaT9skiGL3/nOd86aoZxg64c+9KGezeZaSUAtc9ZusMEGPev1syJZrHkAJpnvuefGr85AT6ZmhptOyfegDtD10+4gddrfmwy3/uxnP7vn5snuzqgHeVjnTne6U896WdGeT7x9j5lpo/Y9q33f7twm2dPLsrTvre0+ztSH9jEP8746F9d2X3L/zDlvP5iUYH4yi4888sgqG/iiiy5qDi3D7ifrPj9rrbVWcdBBBxWvfvWrp23fVPaGAAECBAgQIECAAIFFI7Bs/1W2aFgdKAECBAgQIEBgOAIJAO+1115VYxmCOVmX+QNvgsL1HLudwz/Xe87y/fffv/qYOYTrAHCdOZwV3YZ/zvLOIWJnG/4523SW9vCanes6P7eDBTMFFert5jofar39qF7bx5k+9Bt0aJsk+DVuJQGXDFOa+Xnr6yyBssxVufHGGzfdbQc0snCHHXaYU1Zm06A3swpk+PBkCNaZv3kopNf3ftbGZqmQIGk76J9Mxs5sxpmayJzmmU93p512mqlakWDZTENLz7jxHFbusssuVQA4myYLOA88pGQo5jo4284UrlYO8T/t781DHvKQoR17O+jYvsfM1PX2PavfQOtM7Q1rXftY2n2cqf32MQ/zvtruS3sf/fYlvyfa57zeLg+tvP3tb69+8j3L7/JvfvOb1UMI9e/E/D9CHr7JfOcZNlohQIAAAQIECBAgQGDxCggAL95z78gJECBAgACBCRDI/IHJYEvmTwINmYP1ec97XpMVnENIZlC3kgyw/ME4GXYJ+mT7/DG6zljLNgkwdysJMrdLsgi7ZQq36yzN+3bb11577axN/fnPf561zjhW6Mw6TXCsnzmK20OKdrYxTsf50pe+tAo+1MGICy64YFoAeJz6upj6ktEAMjRzSuaxTZbtXIN3n/3sZ6thmzPMfGdpZ//e+9737ms+77Rx2WWXVcOK532GgZ4tAJx6wy51ILdbu9tvv311XWdo6wTV3v3ud1cZ6fVcvBmSvttQ+t3aGqdl7XtJv4H6cb0XtYdansuxtLdf2nM0F9d2n9vb9+pLRkXIT+Zoz/32G9/4RnH44YdXc2lnm3xPk5We4fgVAgQIECBAgAABAgQWp4A5gBfneXfUBAgQIECAwAQJtIO03/ve96qen3766dVr5gl+xCMe0fVokkFUzw2cIHCyMc8+++xm2M8MrdtreNQMEdvOiEoAej5LshTrUs9PXH/u9loPf91t3Tgvy5Cs7T/u//a3v521uxlONEPp1iXnbb5KMjCTLZ4A149//OOBd5PMtwzbXJdbb721fut1hAKZH7QuyQTOcN1zKcnO3XHHHavA7gc+8IFpTSSAlfV1SaZsHljp5yfD22cu85RkEedeNU7lDne4Q/XgTfqUDMs8RPOjH/2oqIfhffGLX9z0v+73TAHlus6oX/OAUV36vcdfeOGF9SbV8OzNhxG/WdpjaW+/tIfSbmtZuGbEjqc//enVfM8ZVaEuCQIrBAgQIECAAAECBAgsXgEB4MV77h05AQIECBAgMCEC7QBwAg8JtPz617+uer/NNttUw6H2OpT28NAJGie4UpeZhoHNEJQPe9jD6qrVMJPNh3l4k7k66zJb4DFBxRNOOKGuPnGvW221VdPnBMdmKzln9XDfybp88IMfPNsmc17/lKc8pXpoIHP5Jkt00JIHDTIfZV2SBaqMXiD3gQwdXJc3velNxXnnnVd/7Os1892+8pWvrOrmHHcGto455pji5ptvrtbf7373K3Jv6rfkOmln0CYLeNzKy172sqZLX/nKV4rjjz+++ZzM90ks7XtRhhRuZ6H2Op72CBLt7XvVX1bL231JH+t7Zq/9Z57d9u/DXg9S9dp+puXtvvzpT38qfve7381UvVrXj+tsx5SHvjL3b10uvvji+q1XAgQIECBAgAABAgQWoYAA8CI86Q6ZAAECBAgQmCyBxz72sc3wywnanHLKKc28k72Gf66PsB1U+cEPfjDtD97twHJdv/2aoabrkqFd62F962Wdr+ecc06RwM+rXvWqacNMd9br9nnrrbduFicoeumllzafO9985CMfmZYR27l+Pj63s/lm+yP8bPtvu2Y43uuuu27GTY4++uhm/dOe9rQ5D93bNDLDm2Qy1uXEE08cONB+yCGHNNdmhhHffPPN6+a8jlAggaEPfvCDTZbq9ddfXyQo/POf/7yvXiXY+4QnPKEJEN7znvcscq7rku9HO2ib+Xm7zWFa1+/22p7TN8NV33jjjd2qjWzZox71qOIBD3hAtf8MqZ+s5ZRHP/rRRTvjs1o4If/Zcssti4z2kJKAaLK2Zyq5XurRF3J+n/3sZ89UfaB12f/SlDzQVA9LngcUvvSlL83YXNbngZWUZHjP9rt0xsY6Vq6//vrFZptt1iz9+Mc/3rzv9iaB2m9961vNquc85znN+wztnJE87nznO0/7jjUVOt605xzOCCEKAQIECBAgQIAAAQKLV0AAePGee0dOgAABAgQITIhAhtWtA7kJtBxxxBFNz9sZvs3C1pvMTVln155xxhlNADh/GE5geaay8847F+uuu25VJcMyJ0DTa0jfSy65pHjBC15QJEswAdp+A0v1/nMc66yzTvXxlltuKXbbbbdqvuJ6ff2azLs3vOENxbLOLF111VXrLhSZ13ZpSgLAmVM5JfNp7rnnnk3QtLPdZDrXw+om4JJjn8+yyy67FBtttFGzi+c///nFYYcdViRgOFNJ5uAee+xRHHnkkU21fffdt0gmuTIeAo95zGOKt7/97U1nMo/2wx/+8OItb3lLE9htVv7rTc77e9/73iqQn+92SoJsX/ziF4sMZ16XBK/qoYFzzueSEZshbOu5x6+55pri85//fN38MnntJ2BdZwGfe+65TQZ17pPdSj/tddtuWS5LH/M9rUuC+r/85S/rj9NeM//xK17ximbZs571rKUOfGfo4rrkXthPBnJdv/M1Q8/vvvvuzeK99tqryHDn3UoeMNp7772bVXloKUHgYZaMolCX/M7OkOHdSrLm279b8zBUvpd1ydzEGZY/w/PnuzrT7588nJQHPeoy2+/4up5XAgQIECBAgAABAgQWpoC/yCzM8+qoCBAgQIAAgQUmkOymesjRn/3sZ9XRJYjYz3ywyWw6//zzm/kqs3ECyiuvvPKMSquttlqVEZas02RnZT7BzM35mte8pspuyhzB+UN6gj+ZUzRBm5QMHd3+Q/yMO/nXyvTl4IMPbrb78pe/XO1jp512qoKl1157bXHqqacWJ510UrHmmmsW73jHO4oXvvCF/TQ9lDrtuZLzx/jXve51VVAs84HGcpNNNul7PznWT3ziE1UGZgLqxx57bJEAe4buzPDOmQs1wbYE2ZI5Vmcf77fffvOeUZu+JfM3w/dm3uFkkx144IGV9+Mf//hqGOE8FJB6yQhPnWR+J2u7Hv43EMkMbAdY+sZRcV4FDjjggOp6Ouigg6rXnMO3ve1t1fnNELgbb7xxNYdzsm8zP3WGpW0H/xOMyvXRHh4+Hc4IAXXJyAJ3u9vd6o99v+aaSgZ6As4pySh+yUte0vf2y6Ji+pPvQ/0gTO6R7Yz+ZdGHYe8jD9vkIZN8h3OfTaZzHjR50pOeVKy99trVfT3By5yXetjv3APagca59ikP8uT3SO4duc/lvhHj+OYhpTxUNEh561vfWv2eSJA0WbUZgSCB2Mc97nHVAwu5X5922mnFe97zniY4nHv3m9/85kF201fdXBfHHXdcNYpCji/3z9wT87s8c97H+ic/+Un1QFceKEjJQxWd2cI5hgTb871L/5NZnAcs0t697nWvagqIv//979Xv+PwuqQPN+a62h4Puq9MqESBAgAABAgQIECCwsATKf2gpBAgQIECAAAECYy5w2WWXTZXZWlPl/4k2P2WQta9el1mzzTb19mUAsq9tU6nMQp1aY401lmijbqv9WmYcTZV/pO7advmH9qaNcljLrnXKP5A3ddrt1u/XW2+9qXKO4KlyPuOmXjks6xJtfe5zn2vWlxlVS6zvXLDrrrs29cvgWOfqqTL7baoMejR16v7kNT5zKWUwuy/XMiA8VQbupsrsrp67KbMym76V8032rNfvijI7dKoM/Ddtto93pvdlQGyqzCKcKgM4XXdVBhWntVlmjXatNx8L3/WudzX7LoMo87GLqs0yE7HZTzlX97T9lIHVZl0cy4cmpq3v/FAO997UL+fw7Vw958/lEMZT5cgATdszndN6XRmEmioz/ZfYZ66VMuu3aSt9nmsph7hv2sl+y5EEmqbKjOBmXZmt2Swf1ptyGOem/TIbtWezZaZyU68MVvasVz4Y09TLNktTcg+rz0P5IMjSNNV12zKAOFUGfJt91Pvq9pr7bed1XTdaBoibNsoAbr14xtcy+7XZpr2/HXbYYdp25QMCTb0yuDttXftDOefuVL7f7bZ6vS+D3VNllnB78+b9Zz7zmaaNcvjzZnn9pv27qgyY14unveb7XgaCm3Z69SPLy2D41Nlnnz1t+/pDGSyeKh806qudtFU+gDFVBoLrzb0SIECAAAECBAgQILBIBWQAl/9CUggQIECAAAEC4y6QTKxkR5V/eG+6+oxnPKN5P9ObDCmZzNL2HItPecpTZtpk2rpkH2211VbV8L7JQk5mYLtkeOQMNZlhLDN3Ya+hT5OtXM+f22u4zWSZpW/J/isDvVXGUzLEkoGbfrzyla+s5kMuA8BNF7rtL8OBJpsxpR5uudmgy5tkZNX1Y91ZkumXOT/LQPG0OTCTgdWtfuf23T7n/OV8vu9976uyu+shduu6GQ43Fq997WuLhz70ofXirq8ZtrmeMzWZlEtb4nHyyScXP/3pT6vM72QHJvs7w3N3lmStbbHFFlVm24477lgk86xXSd9q59QZRl977atz+V3vetdm35mjc75Khlyv53XOtdsuuVbbx7/CCiu0Vy/xPlmQdf1h9jkZ3hnqN5n25cMSVaZvsrnbJX3NdzaZoBn6eNNNN22vbt5//etfb+bGTXZ+6s+1xG777bdvhlfO/Kd1dn37O53v47BL5vGtr8eZzkvuQeVDFtXu20Mid/YnfazPXe4TS1NyD6vnq62Hyl+a9jq3LR/wqe5vGXXgYx/7WJH54ttzvmdY72SiZkSG3Oc7r+u6vSyvj7nfc5ThkZPxm/nQ61EEck9pj7qQ9tNuff/JtAi9SqY9OOuss4pjjjmm+smcxXXGdrZJH5PlnOHuM8R9RlzoVtKH+lju8695ktv1kgVdr8/7biVDXCcLOFnNGSUj99EbbrihqZp953uVTOdcV73Mch/I9yy/f3NcP/zhD4tk/bZLzlH5kEiVkZ4ROHJOFQIECBAgQIAAAQIEFrfAcgl8L24CR0+AAAECBAgQIDCIQIJbmVsxwwPnj8wZ7nWmgMkgbfdbN3MBZ6jZlC233LIKFve77dLWy1yY+UmAoD2H5dK2myG0y0zvaijUBFHr+VCXtt1hbZ/g/eWXX14FHhJQSSAl/UzQT5l8gXyvc/0lCJfrOt/rzPerLD6BfL8zR3SG/84DPuXIC01wfL408vskcwDn2su9dVgl13OOJQHtPHiUY1nWv6/qY8k9NH3Jdy3HmQdt5vo7JMNBZ97knKscV76v9QMM9f68EiBAgAABAgQIECCwuAUEgBf3+Xf0BAgQIECAAIGJFMgcjvvuu2/V93Ko0CqLcSIPRKcJECBAgAABAgQIECBAgAABAgQIDFmg+3hHQ96J5ggQIECAAAECBAjMJJDsrwR0M8zzgx70oKKcG3am6tVwoXWFRz/60fVbrwQIECBAgAABAgQIECBAgAABAgQWvYAM4EV/CQAgQIAAAQIECIyHwMMe9rBmft0nP/nJxUknndR1SMvDDjusOPDAA6tOZ4jaiy66aOyGSx4PUb0gQIAAAQIECBAgQIAAAQIECBBYjAICwIvxrDtmAgQIECBAgMAYCnznO98ptt122yLzJKZstNFGxW677VZssskmxUorrVT8/ve/rzJ/v/a1rzW9z1DQ++yzT/PZGwIECBAgQIAAAQIECBAgQIAAAQKLXUAAeLFfAY6fAAECBAgQIDBGAp/+9KeLXXfdtbjppptm7NVyyy1X7LfffkWygRUCBAgQIECAAAECBAgQIECAAAECBP6/gADw/7fwjgABAgQIECBAYAwEkul7xBFHFKecckrxhz/8YVqP7na3u1VZwnvuuWexxRZbTFvnAwECBAgQIECAAAECBAgQIECAAAECRSEA7CogQIAAAQIECBAYW4Hrr7++uOqqq4qpqanizne+c7H66quPbV91jAABAgQIECBAgAABAgQIECBAgMA4CAgAj8NZ0AcCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMQWD5IbShCQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYAwEB4DE4CbpAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBYQgIAA9DURsECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYAwEB4DE4CbpAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBYQgIAA9DURsECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYAwEB4DE4CbpAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBYQgIAA9DURsECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYAwEB4DE4CbpAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBYQgIAA9DURsECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYAwEB4DE4CbpAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBYQgIAA9DURsECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYAwEB4DE4CbpAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBYQisOIxGtEGAAIFJEZiamiryk7LccstVP5PSd/0kQIAAgd4C//znP5uVyy/vGccGwxsCBAhMsED73u7/3Sf4ROo6AQIEWgL+LtPC8JYAAQIECMyjgADwPOJqmgCB8RO4+eabi6uvvrrq2GqrrVasscYa49dJPSJAgACBgQTyR6TLLrus2mbFFVcs1lprrYG2V5kAAQIExlMg/99+yy23VJ1be+21ixVWWGE8O6pXBAgQINC3wA033FBce+21Vf38TSZ/m1EIECBAgACB4QtIjxi+qRYJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwEgEB4JGw2ykBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSGLyAAPHxTLRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAkAgLAI2G3UwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAxfQAB4+KZaJECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEgEBIBHwm6nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGL6AAPDwTbVIgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBkQgIAI+E3U4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwfAEB4OGbapEAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIjERAAHgm7nRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGD4AgLAwzfVIgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBEYiIAA8EnY7JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwPAFBICHb6pFAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIjERAAHgk7HZKgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB4QsIAA/fVIsECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYiYAA8EjY7ZQAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLDFxAAHr6pFgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDASAQHgkbDbKQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIYvIAA8fFMtEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYCQCAsAjYbdTAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIDF9AAHj4plokQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDASAQEgEfCbqcECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYvoAA8PBNtUiAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGRCAgAj4TdTgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDB8AQHg4ZtqkQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAiMREAAeCbudEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYPgCAsDDN9UiAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIERiIgADwSdjslQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA8AUEgIdvqkUCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMREAAeCTsdkqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHhCwgAD99UiwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBiJgADwSNjtlAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAsMXEAAevqkWCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMBIBAeCRsNspAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEhi8gADx8Uy0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgJAICwCNht1MCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMX0AAePimWiRAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBIBASAR8JupwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBi+gADw8E21SIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgZEICACPhN1OCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMHwBAeDhm2qRAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECIxEQAB4Ju50SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBg+AICwMM31SIBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRGIiAAPBJ2OyVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMDwBQSAh2+qRQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIxEQAB4JOx2SoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgeELCAAP31SLBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGImAAPBI2O2UAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECwxcQAB6+qRYJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwEgEB4JGw2ykBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSGLyAAPHxTLRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAkAgLAI2G3UwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAxfQAB4+KZaJECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwEgEVhzJXu2UAAECBAgQIECAAAECBAgQIECAAAECIxb4xktG3IFFt/vVyiPOjzIKgX8/dhR7tU8CBAgQGIWADOBRqNsnAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE5kFAAHgeUDVJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBUQgIAI9C3T4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwDwICwPOAqkkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMQkAAeBTq9kmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIF5EBAAngdUTRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAUAgLAo1C3TwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECMyDgADwPKBqkgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAqMQEAAehbp9EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYB4EBIDnAVWTBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGIWAAPAo1O2TAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC8yAgADwPqJokQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAKAQEgEehbp8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYBwEB4HlA1SQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRGISAAPAp1+yRAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMA8CKw4D21qsg+Byy67rI9aqhAgMGyBqakYk43lAABAAElEQVSppsnrr7++uPHGG5vP3hAgQIDAZAq07+233npr4f+zJvM86jUBAgQ6Bf75z382i6644opiueWWaz57Q4AAgeEJrDO8prREYMwF/FtpzE/QMuze2muv7f+tlqG3XREYhYAA8CjUy32uuuqqI9qz3RJY3AIJDNx8880VwoorrlisssoqixvE0RMgQGABCCQAfMMNN1RHkuCA/89aACfVIRAgQKAUuOmmm4rbbrutsrjd7W5XLL+8QcxcGAQIECBAYGkE/FtpafRsS4AAgckSEAAe0flaY401RrRnuyWwuAXyR6Q6AJzgr+/i4r4eHD0BAgtDoB0AXmGFFdzbF8ZpdRQECBAo/vGPfzQB4NVXX73IPV4hQIAAAQIE5i7g72Bzt7MlAQIEJk3A47OTdsb0lwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAj0EBIB7wFhMgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSRMQAJ60M6a/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6CEgANwDxmICBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhMmoAA8KSdMf0lQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBADwEB4B4wFhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGDSBASAJ+2M6S8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgR6CAgA94CxmAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABApMmIAA8aWdMfwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBDQAC4B4zFBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmDQBAeBJO2P6S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgR4CAsA9YCwmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDApAkIAE/aGdNfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9BAQAO4BYzEBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQmTUAAeNLOmP4SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgh4AAcA8YiwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBpAgLAk3bG9JcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI9BASAe8BYTIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkTEACetDOmvwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOghIADcA8ZiAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQITJqAAPCknTH9JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQA8BAeAeMBYTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBg0gQEgCftjOkvAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEeggIAPeAsZgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKTJiAAPGlnTH8JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQQ0AAuAeMxQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEJg0AQHgSTtj+kuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEeAgLAPWAsJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwKQJCABP2hnTXwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECPQQEADuAWMxAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEJk1AAHjSzpj+EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoIeAAHAPGIsJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwaQICwJN2xvSXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECPQQEgHvAWEyAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJExAAnrQzpr8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoISAA3APGYgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEyagADwpJ0x/SVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAPAQHgHjAWEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYNIEBIAn7YzpLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHoICAD3gLGYAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECkyYgADxpZ0x/CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0ENAALgHjMUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYNAEB4Ek7Y/pLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBHgICwD1gLCZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMCkCQgAT9oZ018CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj0EBAA7gFjMQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCZNQAB40s6Y/hIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCHgABwDxiLCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMGkCAsCTdsb0lwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAj0EBIB7wFhMgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSRMQAJ60M6a/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6CEgANwDxmICBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhMmoAA8KSdMf0lQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBADwEB4B4wFhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGDSBASAJ+2M6S8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgR6CAgA94CxmAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABApMmIAA8aWdMfwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBDQAC4B4zFBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmDQBAeBJO2P6S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgR4CAsA9YCwmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDApAkIAE/aGdNfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9BAQAO4BYzEBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQmTUAAeNLOmP4SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgh4AAcA8YiwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBpAgLAk3bG9JcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI9BASAe8BYTIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkTEACetDOmvwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOghIADcA8ZiAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQITJqAAPCknTH9JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQA8BAeAeMBYTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBg0gQEgCftjOkvAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEeggIAPeAsZgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKTJiAAPGlnTH8JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQQ0AAuAeMxQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEJg0AQHgSTtj+kuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEeAgLAPWAsJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwKQJCABP2hnTXwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECPQQEADuAWMxAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEJk1AAHjSzpj+EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoIeAAHAPGIsJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwaQICwJN2xvSXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECPQQEgHvAWEyAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJExAAnrQzpr8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoISAA3APGYgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEyagADwpJ0x/SVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAPAQHgHjAWEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYNIEBIAn7YzpLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHoICAD3gLGYAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECkyYgADxpZ0x/CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0ENAALgHjMUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYNAEB4Ek7Y/pLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBHgICwD1gLCZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMCkCQgAT9oZ018CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj0EBAA7gFjMQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCZNQAB40s6Y/hIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCHgABwDxiLCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMGkCAsCTdsb0lwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAj0EBIB7wFhMgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSRMQAJ60M6a/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6CEgANwDxmICBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhMmoAA8KSdMf0lQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBADwEB4B4wFhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGDSBASAJ+2M6S8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgR6CAgA94CxmAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABApMmIAA8aWdMfwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBDQAC4B4zFBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmDQBAeBJO2P6S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgR4CAsA9YCwmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDApAks2ADw1NTUpJ0L/SVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBSCay4VFuP2cZ//etfi09+8pPFWWedVVx55ZXFyiuvXDzwgQ8snvOc5xTbbLPNUvf2c5/7XHHaaacVa6+9dnHwwQcvdXsaIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwDAFFkwA+KKLLir22GOP4tprry3WXXfd4rGPfWz1/uc//3lx7rnnFjvvvHPxspe9bM52F1xwQXHUUUcVt912W3GPe9xjzu3YkAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvMlsGACwIcddlgV8N1hhx2KV73qVcXyy/+/0a1/85vfFHvuuWdxzDHHFI985COLDTfccGDLW265pTjkkEOqjOIbb7xx4O1tQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgWUhsCDmAE6W7/nnn19l/u6+++5N8DeAG2ywQbHjjjtWll/4whfmZHr00UcXyTB+0YteNKftbUSAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFlIbAgAsBnnHFGZbX11lsXK664ZFLz4x//+Gr9mWeeWUxNTQ3k+stf/rLI3L+bb7558dSnPnWgbVUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAshRYEAHgCy+8sDJLtm+3st566xW3v/3ti+uuu6649NJLu1Xpuuymm24qDj300GLVVVct9t9//2K55ZbrWs9CAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIjIPAkumy49CrAftw2WWXVVustdZaPbe8613vWvzxj38sUvfud797z3rtFUcddVRxySWXFPvtt1+xzjrrFFdddVV79VK9v/XWW5dqexsTIDA3gdtuu63Z8J///Gfhu9hweEOAAIGJFWiP8JL37u0Teyp1nAABAtME2vf33Nvbn6dV9IEAAQJLJbAg/jy6VAI2XjwC/q20eM71bEfabSTV2baxngCByRJYEP+Hc8MNN1TqyfLtVep1119/fa8q05b/9Kc/LY4//vhiq622mpehn6+44opp+/OBAIFlL3DjjTcW+VEIECBAYOEI5EEf/5+1cM6nIyFAgEAt8Le//a1+65UAAQJDFrjbkNvTHIHxFfBvpfE9N8u6Z+uuu64RT5c1uv0RWMYCC2II6Dqjb/nlex9OvS4Zf7OVBJQPO+ywYvXVVy/23Xff2apbT4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbEQWBAZwKusskqFecstt/RErdetvPLKPevUKz7wgQ9UQ0W/+c1vLjJ09HyUfvoxH/vVJoHFLtAe9jkPhhjuZLFfEY6fAIGFIJAhQf/xj380h+L/sxoKbwgQIDDRArm318M+r7TSSrJUJvps6jwBAgQIjIOAfyuNw1nQBwIECCwbgQURAL7Tne5U/OUvfymuvfbanmrXXHNNtW7NNdfsWScrzjjjjOLUU08tnvjEJxbbbrvttLr1PzynLZzjh7vc5S5z3NJmBAgsjcBNN91UXH311VUTq666arHGGmssTXO2JUCAAIExEMj/o/31r3+tepIHe/x/1hicFF0gQIDAEASuuuqqon6YO/+WX2GFFYbQqiYIECBAgMDiFfBvpcV77h05AQKLT2BBBIDvec97Fuedd15xySWXdD2DGdL5yiuvrJ4WTt2Zype+9KVq9VlnnVU8/elPn1a1Hj46weZ63dFHH12svfba0+r5QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVEILIgA8Kabblp8/etfL84+++xi++23X8Ixy1Me+MAHFre//e2XWN9esMEGGxT1nMLt5XmfJ4/POeecIkNPpV5K3isECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYB4EFEQDeeuutiyOPPLL40Y9+VFx88cXFve9978Y2QwIed9xx1ecnPelJzfK8yTCwN954YxUUzjDSKbvsskv12u0/GX7qmc98ZrHWWmsVhx9+eLcqlhEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBkAsuPbM9D3PHqq69e7LjjjlXm7j777FOcfvrp1ZDPF154YXHwwQcX5557bnGf+9yn2G677abt9aijjip22GGH4iMf+ci05T4QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgEgUWRAZw4F/84hdXGb3HH398sf/++087F/e9732Ld73rXYZrnqbiAwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECC01gwQSAl1tuueJ1r3td8bSnPa344Q9/WFx++eXV0M6bbLJJsdVWWxUrrrjkoSYjOPMH3+Me9+jrvN7hDncoDjjggGK11Vbrq75KBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQWJYCS0ZFl+Xe52Ff66+/fpGffkqCw/npt6yyyirFk5/85H6rq0eAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFlKrAg5gBepmJ2RoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTEVEAAe0xOjWwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBhUQAB4UDH1CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMKYCAsBjemJ0iwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAoMKCAAPKqY+AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIExlRAAHhMT4xuESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYFABAeBBxdQnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAmAoIAI/pidEtAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIDCogADyomPoECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYUwEB4DE9MbpFgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBQQUEgAcVU58AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJjKiAAPKYnRrcIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwqIAA8KBi6hMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBMBQSAx/TE6BYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQGFRAAHlRMfQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIypgADwmJ4Y3SJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMCgAgLAg4qpT4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTEVEAAe0xOjWwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBhUQAB4UDH1CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMKYCAsBjemJ0iwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAoMKCAAPKqY+AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIExlRAAHhMT4xuESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYFABAeBBxdQnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAmAoIAI/pidEtAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIDCogADyomPoECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYUwEB4DE9MbpFgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBQQUEgAcVU58AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJjKiAAPKYnRrcIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwqIAA8KBi6hMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBMBQSAx/TE6BYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQGFRAAHlRMfQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIypgADwmJ4Y3SJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMCgAgLAg4qpT4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTEVEAAe0xOjWwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBhUQAB4UDH1CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMKYCAsBjemJ0iwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAoMKCAAPKqY+AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIExlRAAHhMT4xuESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYFABAeBBxdQnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAmAoIAI/pidEtAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIDCogADyomPoECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYUwEB4DE9MbpFgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBQQUEgAcVU58AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJjKiAAPKYnRrcIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwqIAA8KBi6hMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBMBQSAx/TE6BYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQGFRAAHlRMfQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIypgADwmJ4Y3SJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMCgAgLAg4qpT4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTEVEAAe0xOjWwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBhUQAB4UDH1CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMKYCAsBjemJ0iwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAoMKCAAPKqY+AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIExlRAAHhMT4xuESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYFABAeBBxdQnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAmAoIAI/pidEtAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIDCogADyomPoECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYUwEB4DE9MbpFgAABAgQIECBAgAABAgT+L3v3AWZHVfcP/JfeQygJCaEaEA2CVEEgEH0wKCCCICItiIKISJPyqoAoiCKiSFFpvvRexUaR3ouA9FClhmiIpFfy58z/vZe7yU5293LZzOx+zvNs7twzZ2bOfE6y2eR7zxkCBAgQIECAAAECBAgQIECgrQIC4LaKaU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGCCgiACzowukWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2CgiA2yqmPQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoqIAAu6MDoFgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNoqIABuq5j2BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKKiAALigA6NbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaKuAALitYtoTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgoAIC4IIOjG4RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgrQIC4LaKaU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGCCgiACzowukWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2CgiA2yqmPQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoqIAAu6MDoFgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNoqIABuq5j2BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKKiAALigA6NbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaKuAALitYtoTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgoAIC4IIOjG4RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgrQIC4LaKaU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGCCgiACzowukWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2CgiA2yqmPQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoqIAAu6MDoFgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNoqIABuq5j2BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKKiAALigA6NbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaKuAALitYtoTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgoAIC4IIOjG4RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgrQIC4LaKaU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGCCgiACzowukWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2CgiA2yqmPQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoqIAAu6MDoFgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNoqIABuq5j2BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKKiAALigA6NbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaKuAALitYtoTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgoAIC4IIOjG4RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgrQIC4LaKaU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGCCgiACzowukWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2CgiA2yqmPQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoqIAAu6MDoFgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNoqIABuq5j2BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKKiAALigA6NbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaKuAALitYtoTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgoAIC4IIOjG4RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgrQIC4LaKaU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGCCgiACzowukWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2CgiA2yqmPQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoqIAAu6MDoFgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNoqIABuq5j2BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKKiAALigA6NbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaKuAALitYtoTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgoAIC4IIOjG4RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgrQIC4LaKaU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGCCgiACzowukWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIG2CgiA2yqmPQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoq0L2g/erw3Ro/fnyHv0c3SKCIAvPnz692a9q0aTF9+vTqexsECBAgUE6B2u/tc+fODT9nlXMc9ZoAAQILCtR+f58wYUJ06dJlwSbeEyBAoAECQxtwDqcgUA4B/1Yqxzi1Ry+XXXZZP1u1B7RrEFiMAgLgxYTfr1+/xXRllyXQuQVSMDBz5swMoUePHtGrV6/ODeLuCRAg0AEEUkCQPtSTSgoH/JzVAQbVLRAgQOA9gRkzZsS8efMyi759+0bXrhYx8xuDAAECBAh8EAH/Vvogeo4lQIBAuQQEwItpvAYMGLCYruyyBDq3QAp/KwFwz549w5/Fzv37wd0TINAxBGoD4G7duvne3jGG1V0QIEAgZs+eXQ2A+/fvH+l7vEKAAAECBAjUL+D/weq3cyQBAgTKJuDjs2UbMf0lQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAjoAAOAdGNQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBMomIAAu24jpLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHIEBMA5MKoJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQNgEBcNlGTH8JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCQIyAAzoFRTYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbIJCIDLNmL6S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRwBAXAOjGoCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUTUAAXLYR018CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjkCAiAc2BUEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoGwCAuCyjZj+EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAIEdAAJwDo5oAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJlExAAl23E9JcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI5AgLgHBjVBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKJuAALhsI6a/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQyBEQAOfAqCZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEDZBATAZRsx/SVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECOgAA4B0Y1AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEyiYgAC7biOkvAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcgQEwDkwqgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA2AQFw2UZMfwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIJAjIADOgVFNgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBsgkIgMs2YvpLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBHAEBcA6MagIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJRNQABcthHTXwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECOQICIBzYFQTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgbAIC4LKNmP4SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgR0AAnAOjmgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAmUTEACXbcT0lwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAjkCAuAcGNUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAom4AAuGwjpr8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIERAA58CoJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQNkEBMBlGzH9JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQI6AADgHRjUBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTKJiAALtuI6S8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRyBATAOTCqCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUDYBAXDZRkx/CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkCMgAM6BUU2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGyCQiAyzZi+kuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEcAQFwDoxqAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlE1AAFy2EdNfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI5AgIgHNgVBMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBsAgLgso2Y/hIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCBHQACcA6OaAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECZRMQAJdtxPSXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECOQIC4BwY1QQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECibgAC4bCOmvwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEMgREADnwKgmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA2QQEwGUbMf0lQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAjoAAOAdGNQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBMomIAAu24jpLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHIEBMA5MKoJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQNgEBcNlGTH8JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCQIyAAzoFRTYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbIJCIDLNmL6S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRwBAXAOjGoCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUTUAAXLYR018CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjkCAiAc2BUEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoGwCAuCyjZj+EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAIEdAAJwDo5oAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJlExAAl23E9JcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI5AgLgHBjVBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKJuAALhsI6a/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQyBEQAOfAqCZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEDZBATAZRsx/SVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECOgAA4B0Y1AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEyiYgAC7biOkvAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcgQEwDkwqgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA2AQFw2UZMfwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIJAjIADOgVFNgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBsgkIgMs2YvpLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBHAEBcA6MagIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJRNQABcthHTXwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECOQICIBzYFQTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgbAIC4LKNmP4SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgR0AAnAOjmgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAmUTEACXbcT0lwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAjkCAuAcGNUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAom4AAuGwjpr8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIERAA58CoJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQNkEBMBlGzH9JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQI6AADgHRjUBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTKJiAALtuI6S8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRyBATAOTCqCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUDYBAXDZRkx/CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkCMgAM6BUU2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGyCQiAyzZi+kuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEcAQFwDoxqAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlE1AAFy2EdNfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI5AgIgHNgVBMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBsAgLgso2Y/hIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCBHQACcA6OaAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECZRMQAJdtxPSXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECOQIC4BwY1QQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECibgAC4bCOmvwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEMgREADnwKgmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA2QQEwGUbMf0lQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAjoAAOAdGNQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBMomIAAu24jpLwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHIEBMA5MKoJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQNgEBcNlGTH8JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCQIyAAzoFRTYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbIJCIDLNmL6S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRwBAXAOjGoCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUTUAAXLYR018CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjkCAiAc2BUEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoGwCAuCyjZj+EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAIEdAAJwDo5oAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJlE+iQAfD8+fNj6tSpMXv27IaMx6xZs2LKlCmRzqsQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgqALdi9qxevr1r3/9K84+++y4//77Y8aMGdkpRowYETvuuGNss802bTrl9OnT4+KLL46bbrop3njjjezYnj17xlprrRW77LJLbLDBBm06n8YECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBD4sAU6TAA8bty42H///bPgN4W+q6++ekyePDkeeOCBOOGEE+Lll1/O9rcGNM323W+//bJj+vfvH6NGjYrevXvHc889Fw899FD2ddhhh8W2227bmtNpQ4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXYR6BABcFqa+fjjj8/C369//eux1157VfFeeeWV+Pa3vx2XXXZZbLbZZtkM3urOnI3f//73Wfi75pprZuHxgAEDqi3PPffcOOecc+K0006LLbbYIvr27VvdZ4MAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKLU6BDPAP40UcfjRdeeCGWX3752HPPPZt4rrjiirH77rtndVdeeWWTfc29effdd7Nln9O+gw8+OGrD31S3xx57xKBBg7Kw+cknn0xVCgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAoh0CEC4HvuuSfDTDN8u3Zd+JZGjx6d7U/PBk4Bb0vld7/7XfzmN7+JVVdddaGm6fyDBw/O6mfOnLnQfhUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYXAIdYgno559/PvNrLrBNO4YOHRr9+vWLadOmxRtvvJHNFM4DTwFveoZwXknneO2117Ldi2qXd7x6AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIfFgCHSIA/s9//pP5LLPMMrlOaV8KbydMmLDIADj3BO/teOutt+LnP/95tvzzVlttFcstt9yimi9y35w5cxa5304CBD4cgXnz5lVPnLb9Waxy2CBAgEBpBebPn1/te9r2vb3KYYMAAQKlFqj9/p6+t7dmRa9S37DOEyCwmAR6LKbruiyB9hfwb6X2Ny/qFXv08L2vqGOjXwQaJdAhAuDp06dnHn379s116dOnT7av0ja34QI7/vznP8c111wTU6ZMyWYPDxkyJPbdd9/YeeedF2jZtreV0LptR2lNgEAjBdIy7pZyb6SocxEgQGDxC6QP9/g5a/GPgx4QIECg0QKTJk1q9CmdjwABAv8nMIwEgU4j4N9KnWaoW7zRtGpqly5dWmynAQEC5RXoEAFw5VPAzT3/tzI0lX2VtpX6ll7ffvvtePbZZ6vNUpCcwuAUJA8YMKBab4MAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKLW6BDBMA9e/bMHGfPnp3rOWvWrGxfr169cts0t2P33XeP9JVmCb7wwgtx8cUXx0UXXRS33nprnHXWWTFw4MDmDmuxrnfv3i220YAAgcYL1C773K1bt7DcSeONnZEAAQLtLZCWCK38rJc+wdzWn/fau7+uR4AAAQKtE0j/xq98iDt9bzdLpXVuWhEgQIAAgTwB/yedJ6OeAAECHU+gQwTASy65ZLY883//aKpHVwAAQABJREFU+9/cEarsW2qppXLbLGpH+stxjTXWiJ/+9Kdx+OGHx7333huXXnpp7LPPPos6LHdf6rNCgED7C6QPc1SWj0t/ruv9EEf799wVCRAgQCBPIAXA48ePz3anD/f4OStPSj0BAgTKJTBx4sSofNB7iSWWiPQ9XiFAgAABAgTqF/BvpfrtHEmAAIGyCXQtW4eb6++KK66YVb/66qvN7c6WbE7/cEzLQK+wwgrNtlmwMv1HYl4ZNWpUtuvxxx/Pa6KeAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC7S7QIQLgddZZJ4N76KGHmgWs1KcZvC0tc/HYY4/FF7/4xdhxxx2bPVeqnDFjRrbPp49ziewgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAxCHSIAHizzTaLvn37xgMPPBDPPfdcE8b0vM9LLrkkq9t6662b7Hvrrbfi2WefjfRaKSNGjIjp06fHhAkT4uabb65UV1/nzp0bN954Y/b+4x//eLXeBgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBBa3QLdj3iuLuxMf9Po9e/aMXr16xf333x933XVXDBo0KHr06BEvv/xynHzyyfHII4/E6quvHgcddFC2DHTleqeeemqcdNJJMXXq1Kgs65zOlULeRx99NO65557seUOpLrV54okn4sQTT4ynnnoq+vXrFz/84Q+z18r5vBIgUHyB9Oc7PQc4lcr3juL3Wg8JECBAoCWB9LNaKumRH+nnNIUAAQIEyi+QVt9KH+pOJX1vT9/jFQIECDRa4IVrG31G5yNQXIER2xe3b3pGgAABAo0V6N7Y0y2+s+20007xzjvvxIUXXhg//elPm3Rk5MiRWV337q273b322ivSM4AvuuiiOP/887Ov2hMOHz48jjrqqBg8eHBttW0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgsVoEu7wWd8xdrDxp88TfffDPuvffebAnnPn36xFprrRVrr712dOnSZaErjRs3LsaPHx9Dhw6Nj370owvtf/vtt7NZxa+//nrMmTMnBg4cmM0kTs8c9vzfhbhUECiFQJr9O2nSpKyvaRZB+nOtECBAgEC5BdKPs+lnulTSB/58SK/c46n3BAgQqAhMnDgxW5UrvR8yZIh/h1dgvBIg0FCBG8c29HRORqDQAmPOK3T3dI4AAQIEGijQ4QLgBto4FQECHVBAANwBB9UtESDQ6QUEwJ3+twAAAgQ6qIAAuIMOrNsiUDABAXDBBkR3PlQBAfCHyuvkBAgQKJSAB+gUajh0hgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvULCIDrt3MkAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECiUgAC7UcOgMAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE6hcQANdv50gCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgUSkAAXKjh0BkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjULyAArt/OkQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECiUgAC4UMOhMwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKhfQABcv50jCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUCgBAXChhkNnCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUL+AALh+O0cSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgUAIC4EINh84QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgfgEBcP12jiRAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEChBATAhRoOnSFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgED9AgLg+u0cSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUIJCIALNRw6Q4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfoFBMD12zmSAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEChRIQABdqOHSGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC9QsIgOu3cyQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQKJSAALtRw6AwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTqFxAA12/nSAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBRKQABcqOHQGQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECNQvIACu386RBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKJSAALhQw6EzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqF9AAFy/nSMJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQKAEBcKGGQ2cIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQv4AAuH47RxIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBQAgLgQg2HzhAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKB+AQFw/XaOJECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQKEEBMCFGg6dIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQP0CAuD67RxJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBQgkIgAs1HDpDgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB+gUEwPXbOZIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKFEhAAF2o4dIYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL1CwiA67dzJAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAolIAAu1HDoDAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBOoXEADXb+dIAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIFEpAAFyo4dAZAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI1C8gAK7fzpEECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAolIAAuFDDoTMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoX0AAXL+dIwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAoAQFwoYZDZwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFC/gAC4fjtHEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoFACAuBCDYfOECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoH4BAXD9do4kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAoQQEwIUaDp0hQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA/QIC4PrtHEmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFCCQiACzUcOkOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIH6BQTA9ds5kgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAoUSEAAXajh0hgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvULCIDrt3MkAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECiXQvVC90RkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECJRX4y1/+Es8991z07ds39t5775LeRfPdfu211+Kqq67Kdm699dax6qqrNt9Q7WIXEAAv9iHQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUUJ3H///Vmwuqg2efuWX375GD16dN7uhtafe+65ccUVV8SQIUM6XAD8/PPPx0EHHZR5JVMBcEN/6zT0ZALghnI6GQECBAgQIECAAAECBAgQIECAAAECBAgQIECAQKMFzjnnnDjrrLPqOm2ardrIAPjNN9+MadOmxYgRI6JLly519amoB02fPj3eeOONWGaZZWLQoEFF7aZ+tSAgAG4ByG4CBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHFKzB//vxqB4YPHx7du7c+4kqzcRtZxowZE0888UTMmDEjevfu3eTUF110UVxwwQWlDYbPO++82G+//eKkk06KQw45pMm9bbbZZjFz5sysrkePHk32eVMsgdb/6ShWv/WGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgkwjUzrS98847Y5VVVlksdz558uR46qmncq9d9mD0vvvuy723rl27Rq9evXL321Ecga7F6YqeECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECiuwIMPPhjvvvtucTv4AXu2qAD4A57a4e0oIABuR2yXIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQWPwC8+bNi0suuSS+8pWvxMiRI2Po0KGx3HLLxTrrrBPf/OY347bbbmvSyXvuuSd22GGHOPTQQ6v1X/va17K6vffeu1qXlk5O7b7xjW9U69JGeq5uqk9f//jHPyItaZ2eabzhhhvGEkssEUsuuWRstNFG8Yc//KF63OzZs+NXv/pVrLfeejFw4MCszSabbBJpmelFlWeffTZbvjkdl57l269fv+z+Nt988+x86fnFC5avf/3rWd/GjRuX7Tr33HOr/X3ggQeyuieffLJalxcUv/POO3HiiSfGZz7zmcxzwIABseyyy8amm24axx13XPznP/9Z8NLZ+7/+9a/ZuXfccceYO3duzJkzJ0499dT49Kc/nd13Os/HPvaxOOCAA2L8+PHNnkPl+wJd3vsN9v6i6e/X2yJAgECHFEjPJ5g0aVJ2b+kvvfSXpkKAAAEC5RZIP85WfvBPz/8ZPHhwuW9I7wkQIEAgE5g4cWKk//BKJT2zrVu3btm2XwgQINBIgRvHNvJszkWg2AJjzit2//SOQEsC++yzTxaYpnYvvvjiB1oCOoWUX/jCF+Lee+9d5GVTiJtC2rT89BVXXBE77bRTs+1TcPz6669n+1Kb1Db9DPvWW29V27/66qux4oorZu8vv/zyuOmmm6r3U230fxs//elP43vf+15sueWWcfvtty+4O3t/8sknx4EHHrjQvtTf9AzfFKLmlY9+9KNxyy23RHqWcqWk/0/JC2evueaa2G677bJQPAW7qVx55ZVZYFs5Pr2mUHj77bev/j9Nckv/D58C50ocudRSS8VVV10Vo0ePrj00zjnnnCx4T5VvvvlmpHB9wRC+ckDq98MPP5wFy5U6r00FzABu6uEdAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBABxY44ogjsvA3fcjw2GOPjTTrNYWU//3vf+Puu++uBr0plExfqWyxxRbx0EMPxe67716VSW1TXZq92lKp/UDjhRdeGBdffHGcfvrpMWHChEiB9HXXXZfNdE3nSQHwIYccEo8//nikmbjpw5FpYlMKltNM2FSOOeaY6gcms4r3fvnnP/8Z++67bxb+rrrqqlm/0rnTktWvvPJKHH300VmYne53wRnKN998c9aHyrkOOuig7N7S/S0Y1lba1L6m83/+85/Pwt+ll146LrjggkjPS54yZUpMnTo1m22dZiO//fbb8aUvfSn+9a9/1R4e6UP9lZJm+T722GPxu9/9Lps5ncYmWXz5y1/OmqSw/YQTTqg099qMgAC4GRRVBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECHVMgzV5NZezYsXHkkUfGaqutFn379s2WYt54443jsssui6233jprk2brppKWaE5LKqfljCtl3XXXzerWWmutSlXua48ePar7/vjHP0YKgdNM3TTzNq1Uue2222YBbWo0ffr0+O1vfxtp5m3qY5o1O2jQoEjLIx922GHZeVJYnWbB1pYzzzyz+nziFDCnQDadO83EXWGFFeLHP/5xNcC+4YYbmoSwn/zkJ2PNNdesni61T/ebvtK1Wyo/+tGPsiA7XSvd32677Rb9+/fPDku2O++8czbzN1WkYPgnP/lJk1PW+lx77bWRAukUZg8bNiwbm0984hNZaJ5mVqfSmtC9yQU62Zv34/ROduNulwABAgQIECBAgAABAgQIECBAgAABAgQIECBAoBwClSWEU2/T0seVcLGl3qcAMT2Xt1LSedKM2lTSjNS8kgLaNCu1tdfJO09z9WussUa2pPKC+9JzcislPet3s802q7ytvo4aNaq6/fLLL2fPyK1UpGcRp+f8pqWcN9hgg0p1k9etttoqzj///KwuzapdaaWVmuyv50169GIKzVP53Oc+FylEb66k+0nPOU5LRafZzGeccUaTmb+VY3bZZZdI4fqCpVevXpHuPy0h/cILLyy42/saAQFwDYZNAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB4gmkmaWVcv3111c2W3xdffXVmwTA6TyrrLJKvPTSS/GHP/whW1Z4ww03XOg8rZn1utBBi6io7X8KaZsrtYF0bRhc27a2TZopXFvSLN70taiSlmeulLS0ciNKWiZ6xowZ2anGjBmzyFOmZwinADgtDf3kk0822980czmvDB06NNs1Z86cSF+1M4fzjumM9QLgzjjq7pkAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUCKB2hnA6fm1aWnj1pTKksG1bdNyxXvuuWc2UzbNSE0zVr/whS9ECic/9alPfeihYu0y0rX9qn1OcHP9Tm1r29QeW7s9a9asuOuuu+KJJ57InqGbguIUls6dOzdeffXVatNa02plHRvPPfdc9aj07OFFlY985CPV3SmErwTWtQH58OHDq20W3Ki9/0b1f8FrdIT3AuCOMIrugQABAgQIECBAgAABAgQIECBAgAABAgQIECDQgQVqA8If/vCH2Szeem83PVc3hYfpebppueR77rkn+0rnGzBgQKRZrPvss0/2Wu81FnVc165dm91de4+1QWezjXMqTz755Dj22GPj7bffzmnR+Op33nmnetIllliiut3cRu3+2uNq29Z777Xn6Ozbzf8O6+wq7p8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDDCqQZwK+88kr27Npdd901KjNu09LE6RmzW265ZWy99dbZUsVlQTj66KPj4IMPzsLfFVZYIdL7K6+8Mm6//fa499574+GHH86eu9vo+0mziyulNsSu1NW+trS/tq3t+gXMAK7fzpEECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIlFejTp0/stNNO2VeaEfzYY4/FX//61zjrrLOyZwT/5S9/ie985ztx/vnnF/4OX3vttfjZz36W9TMtq3zHHXc0u0z2xIkTG34vtbN6J0+evMjz1+6vPW6RB9nZZgEzgNtM5gACBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGOJJBmpq699trx/e9/P5566qkYNWpUdnuXXHJJKWYBp1m+6Rm/qRxxxBHNhr9p3wsvvJBeGlpqn+vb0vnTc38rZZVVVqlsem2wgAC4waBOR4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUFyBadOmLTII7d27d+y1117ZDaRQ9c033yzuzfxfz2qf+bvSSivl9vfDmM28wQYbRI8ePbJr3nLLLbnXTjtSUJ1Kmv27xhprZNt+abyAALjxps5IgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQQIFf/OIX2ezYjTfeOGqXI16wq6+//npWlWYGV54PnCpqn2E7c+bMBQ9bbO+XXnrp6rVrZ9lWK9/bOPnkk+PBBx+sVs2aNau6nTZq723GjBlN9i3qTQpzt91226xJWjb76aefbrZ5uvZdd92V7UtLb3fv7km1zUI1oJJsAxCdggABAgQIECBAgAABAgQIECBAgAABAgQIECBA4MMTSM/orZQLL7wwlllmmcrbVr1uvfXWseKKK2ZB5Q9+8IOYMGFCbLnlllko+qlPfaoafs6ZMyeuvfbaSEFxKl/4whdi0KBB1WsstdRS1e1zzz039t9///jvf/8bAwYMiF69elX3tffGZpttFt26dYt58+bFscceG5tsskmsvPLKWTfGjx8fxx9/fJx66qnxy1/+Mg499NCsPoWxY8eOrXa19t6uu+66+Na3vpXd15QpU1r0Ttf885//HCkUT2HwpZdeGuutt1713HfeeWfsuuuukcYxBcZHHXVUdZ+NxgsIgBtv6owECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQINFKidnXr00Ue3+cx/+tOfsgD4Yx/7WJx22mnxne98J+67777YaKONon///tks3xSepuWeZ8+enZ1/xIgRccYZZzS5VgqSU4CcgsyDDz44+0oNnnnmmVh99dWbtG3PN8svv3wccMAB8etf/zqeffbZWHXVVSP1PwXaL7/8ctbfww8/PL73ve/FmWeeGePGjYuzzz47mxG8zTbbxHHHHZfNjE5B8h133JHVDx48OLuF7373u3HKKacs8nY+/vGPR3pe8i677BLPP/98rL/++pl3mpn8xhtvxFtvvZUdn8L0FLCvsMIKizyfnR9MQAD8wfwcTYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8CELDB8+PNZcc826rzJw4MDqsfvuu28WUKawND2zNs2QnTp1arY/LUu89tprx1e/+tVsdm8Kh2tL6kMKUI888sgs1OzatWsWtPbr1y9rlmYZpza1SzKnHem8lf4vu+yytaesbqfn6Fba5M1wTs8nrrSpnbGbTpJm9y633HJZWPvqq69mIW+aFfzpT386DjnkkNhhhx2ya1100UWRDFJonZa6TvdQKWlWc5oVfPfdd8e7774b6RqrrLJKtjvdY+XaaRbvgmW77baLxx57LE444YS4/vrr45VXXsm+Urs0G3n77bePww47LIYNG7bgodks68q5+/btu9D+SkW6v0q72g8FVPZ7/f8CXd77hML7c+apECBAoIMLpOUnJk2alN1l+suq9i/9Dn7rbo8AAQIdViD9OJv+oZZK+sdU5dOpHfaG3RgBAgQ6icDEiROrMy/SM9fSf1wpBAgQaLTAje+vetnoUzsfgcIJjDmvcF3SIQKFEZg2bVq888472c+cKbht7bNpp0+fni37XMSfVdOy1Ok5vul+evbs2WbrNHM4zYhOgXO9pdKH9P/wlYC83nM5rm0CZgC3zUtrAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBDiSQwsl6AspFzVRd3DxpqeXaZxe3tT9pNnL6+iDlg/bhg1y7sx/7/pzuzi7h/gkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFByAQFwyQdQ9wkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAREABXJLwSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg5AIC4JIPoO4TIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgIiAArkh4JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQMkFBMAlH0DdJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQEVAAFyR8EqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGSCwiASz6Auk+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGKgAC4IuGVAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECJRcQAJd8AHWfAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECFQEBcEXCKwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBEouIAAu+QDqPgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCoCAuCKhFcCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUXEAAXPIB1H0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUBATAFQmvBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKLmAALjkA6j7BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqAgIgCsSXgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFByge4l77/uEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdHCBqWN3LcUd9j/volL0Uyc7toAZwB17fN0dAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKdSEAA3IkG260SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINCxBQTAHXt83R0BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAp1IQADciQbbrRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0LEFBMAde3zdHQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECnUhAANyJBtutEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQsQUEwB17fN0dAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKdSEAA3IkG260SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINCxBQTAHXt83R0BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAp1IQADciQbbrRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0LEFBMAde3zdHQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECnUhAANyJBtutEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQsQW6d+zbc3cECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEyiVw3333xeWXX97qTg8ePDi+//3vt7q9hh1bQADcscfX3REgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJRM4PHHH49f//rXre71aqutJgButVbHbygA7vhj7A4JECBAgAABAgQIECBAgAABAgQIECBAgAABAgRKKPCxj30szj777BZ73qdPnxbbaNB5BATAnWes3SkBAgQIECBAgAABAgQIECBAgAABAgQIECBAgECJBPr37x+bbLJJu/d41qxZ0bNnz+jSpUubrp2O69GjR3Tt2rVNx2ncWAH6jfV0NgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKLReDiiy+OddddN/bee+/c699www1Zmx133LFJmzvvvDO++MUvxsCBA6N3797Rq1ev+NSnPhXnn39+k3bpzW233Zad4wc/+EHMmDEjDjvssBg6dGh2XDp20003jXvvvXeh41S0j4AZwO3jvNBV3nzzzYXqVBAg0L4C06ZNi/SlECBAgEDHEZg7d274OavjjKc7IUCAQEVgwoQJlU2vBAgQaLDAsAafz+kIFFfAv5WKOzbt3bMU0rV1Vmd799H16hdIwetuu+0W6RnCP//5z2PppZde6GT/+7//G4888khst9121X1nnnlm7LvvvtGtW7fYfvvtY+TIkdn/sVxxxRUxduzYeOCBB+K0006rtp85c2Z2juWXXz522GGH7HrbbrttdO/ePW655Za4++67Y8yYMfHss8/GcsstVz3ORvsICIDbx3mhq6RPTygECLS/wJw5c7JPI6Urp+Ur0ieRFAIECBAot8D8+fNjypQp2U2k5YXS0kgKAQIECJRfIH1Yc968edmNpO/tlpAr/5i6AwIECBBYvAL+T3rx+rs6gfYSWHHFFWPzzTfPZuhec8018c1vfrPJpadOnRrXX3999iGAPfbYI9v34osvxne/+90svL3pppuy4ysHHX300bHhhhvG6aefHl/60pfic5/7XLYrBb2p3HzzzdkS1ePGjYvKc4hnz54d66yzTjz11FNx2WWXxcEHH5y19Uv7CQiA28+6yZX69evX5L03BAi0j0D6VFJajiKV9BwCfxbbx91VCBAg8GEKLBgA+97+YWo7NwECBNpPIP3sXgmA+/btm81EaL+ruxIBAgQIEOh4Av6t1PHG1B11DoF//etfsd9++7V4s0cddVQMG/b/V7bYfffdswA4ha8LBsDXXXddTJ8+PUaPHh0rr7xydt7f//73kULbffbZp0n4m3YOHz48jjjiiDjggAPijDPOqAbAlQ9opv9v/+1vf1sNf9MxafJVCotTAPz000+nKqWdBQTA7QzucgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRaI/Dvf/87fve737XYdP/9968GwOnZvun9rbfeGun4wYMHV4+/5JJLsu20rHOl3Pbe83xTSUs2N1e22GKLrDot61wplWXEV1pppVhttdUq1dXXIUOGZNspbFbaX0AA3P7mrkiAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgRYE11lgjKqHtohqPGDGiujst+Z6ex5tmAF911VXZs33TzrfffjtuvPHGbGXMFBJXyiuvvJJt/uQnP4lTTjmlUl19nTt3brY9fvz4mDVrVvTq1au6b6mllqpu125UZgjX1tluPwEBcPtZuxIBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBVguk5+quueaarW5faZiWgU4B8OWXX14NgK+88sqYM2dOfO1rX4v+/ftXmmbLP6c36fnA7777brW+duMTn/hE9jY9qqU2AK5tY7s4Aos9AE6/mR599NFInxAYOXJkcWT0hAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAJBbbccsts6efbb7890szdoUOHVmcS77nnnk3uKM0YnjRpUpx11lnx2c9+tsk+b8op0LWR3U4PdE4Pdn7yySdbfdopU6bEqFGjYocddmj1MRoSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINC8QPfu3WPnnXfOZvRec8018dprr8Udd9wR6Zm9o0ePbnJQ5Rm+zz33XJN6b8or0NAAOK0BnqaOz58/v9UilSnmL7zwQquP0ZAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXyBtAx0Ktdff31cffXVWRi8xx57RJcuXZoclGYLp3LppZc2qa+8efHFF+OEE06Ip59+ulLlteACH2gJ6BT2vvXWW9VbTOt+p5LqBg0aVK3P25g+fXqcc8452e50rrSuuIdC52mpJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6EwCKUv7xz/+0apb/shHPtIkn9tggw1i9dVXj9tuuy0mT56cnWPs2LELnesb3/hG/OIXv8ja/fjHP44jjzwyunXrlrV75ZVXYqeddoqHH344WwX44x//+ELHqyiewAcKgMeNGxeVhz7X3toWW2xR+7ZV22l6ufC3VVQaESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdAKBp556KtZbb71W3emVV1650CNX04zfH/7wh3H33XfHpptuGiNGjFjoXEsuuWQ2Qzg96vWYY46JM844I1LQm0LjRx99NNIKwF/96lfjgAMOWOhYFcUU+EABcJrlu/nmm8eDDz4Y6RMI9ZZevXrFiSeeWO/hjiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQYQRGjhwZ3/72t9t0P82FuykATs//TWW77bbLPV8Kh5955pk488wzs2cFT5gwIVJ+t+uuu2bPEv785z/f5Njhw4dn/VthhRWa1FferLXWWtn+NAtZaX+BLu89r7f1D+zN6d+8efPi8ccfjzRFPE1DP/jgg2PZZZfNaf1+dZrxu8wyy8SYMWMi/UZRCBAg8GELpKXqJ02alF2mX79+MXDgwA/7ks5PgAABAh+yQPpxdvz48dlVunfvHoMHD/6Qr+j0BAgQINAeAhMnTozZs2dnlxoyZEh1Cbr2uLZrECDQeQRuXHgVzM5z8+600wmMOa/T3bIb7mACU8fuWoo76n/eRaXop052bIEPNAO4QpPWAV977bVj2LBhWdVee+3V7NLQlfZeCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDxAl0becrjjz8+brnlllhllVUaeVrnIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFWCDRkBnDlOmk9b4UAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEFo9AQwPgyi2kZ/Q8/PDD8dJLL8X06dOjNY8ZTs9qW9TDpyvn9kqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECzQs0PAA+//zz45BDDomJEyc2f8Wc2vXXX18AnGOjmgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAq0RaGgAfMMNN8TYsWNbc11tCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDBAg0NgH/5y19m3evVq1cceOCBsfnmm0da2rlbt24tdrtfv34tttGAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBPIFGhoAp+f+pnLKKafEPvvsk39VewgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg4QJdG3nGyZMnZ6fbcccdG3la5yJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBVgg0NABeYoklsksOGjSoFZfWhAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQaKdDQAHijjTbK+vb88883so/ORYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKtEGhoAHzooYdGly5d4uSTT27FpTUhQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUYKdG/kyT7zmc/EKaecEgcddFAsueSSceSRR0afPn0aeQnnIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6GQC/c+7qJPdsdslUL9AXQHw3/72t7jmmmsWumqa/du7d+8YPXp0HH/88XH66afHqFGjYtiwYdnM4IUOqKlYeeWV4/vf/35NjU0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaItAXQHwP//5zzjzzDNbvM4777wTf/rTn1pslxqsv/76AuBWSWlEgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB5gXqCoC7du0aPXr0aP6MddY2+nx1dsNhBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBRPY/4LG5lIf1u2dtvucD+vUzkug1QJ1BcCHHnpopC+FAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIoj0LU4XdETAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEPggAgLgD6LnWAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBRIoK4loPP6P2XKlOjevXv07NkzunTpktes2frUvq3HNHsilQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOikAg2dAfy1r30t+vbtm4XA3bp1i7Z8de3aNQYOHBgbbrhhHHfccTFp0qROOiRumwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvUJNDQArq8L7x+VZhA/8MADcdRRR8XIkSPjkUceeX+nLQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYpEBDl4Deb7/9YuONN45bb701br755uzCq622Wqy33noxZMiQbInnf//73/GPf/wjnnnmmez99ttvHyuvvHLMnz8/m/V7//33x9NPPx3jx4+PbbfdNtvu37//Im/CTgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCIaGgAvNVWW8Xzzz8ft9xyS4wePTpOOumkWHfddZt1TrN7DzzwwLjhhhvi0ksvjW222aba7uqrr47ddtstXnvttTj//PMjBcsKAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCxaoKFLQN9zzz1x0EEHxec+97m46aabcsPf1KV11lkn/v73v8cGG2wQX/3qV+Oll16q9vTLX/5yHHnkkdn7FBArBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINCyQEMD4DTjNy3lfMIJJ0T37i1PLu7Ro0f87Gc/i+nTp8evfvWrJr3dbrvtsvdpRrFCgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAi0LNDQAvu+++7Lg95Of/GTLV/6/Fuuvv362ddtttzU5Zumll87ep3BYIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGWBRoaAE+dOjXmzp0bkydPbvnK/9diypQp2dbEiRObHPP6669n7/v169ek3hsCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgkgXfffTeuuOKK7CttKxEtr9PcBqWhQ4dm4e+FF14Y++23X6uOvPrqq7N2AwcObNL+ggsuyN5/9KMfbVLvDQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGOLPDoo4/GX//611bf4lJLLRXf+ta3Wt2+qA1TgHvTTTdFWjn4xRdfjDSRtGfPnpEyyHXXXTe23377GDx4cJPuz549O3baaaesbubMmdGrV68m+zvjm4YGwJ/97Gdj3Lhxccghh2Qzgffee+/o06dPs65ppvDFF18cBx10ULZ/gw02yF7feeedOPnkk+OUU07J3m+99dbNHq+SAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQEcUePDBB+MHP/hBq29ttdVWK30A/PTTT2dB7hNPPJHdd7du3aJ///4xY8aMSCFvKgcffHCceuqpsddee2Xvi/ZLuofLLrssvve978WAAQMWW/caGgAffvjhkWb/pqWgDzzwwOw3ZnrG70orrRSVGb7Tpk2L1157LR566KGYNGlSduNpACtB8JNPPhnHHHNMVr/66qvHbrvttthwXJgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA4hJYddVV45e//GWLly/7I1VTtrjlllvGq6++Gttss00cddRR2Yzf7t27x/z58yMFq7/61a/inHPOiW9+85uRVhDedNNNW3Rp7wZXXnll/PjHP440SbbDBMCrrLJK/OlPf8rS+QkTJkQKe2+//fZF2vbt2zfOOuusWG+99bJ26RMKqYwcOTL++Mc/mqadafiFAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgswkMGjQovvSlL3X4277uuuuy8DdNDr322msjTR6tlC5dumS54dlnn51NQk0zbI8//vj4y1/+UmlSmNf77ruvEH3p2uhebL755vHcc8/Fr3/960hLQi+99NILXSJN195www3j6KOPzpaM3mWXXapt0rrdaZAfe+yxGDFiRLXeBgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+QJpBuqYMWPiiCOOyG105513Zm0WXEb58ccfj69//etZPpdmrw4bNizSo1qbexbxPffck53j5z//efZY2F/84hex5pprZisCp+f1brfddpFW/W1tefnll7Oma6+9dpPwd8Hj03XuuOOO7DGzlX3pucGVksLiZLDxxhtHCs/Ts5FTdvm3v/2t0qTJ63/+85/4n//5n0jXTW2XXHLJWGeddbIZyJWVjGsP+PznPx9f/OIXI10zLfM8ZMiQSI+5TedP7unZxamk7DO9X1whdcMD4HRTabnntKTz3//+90hwaW3ut956K/tKD2tOXykBT1Oghw8fng5pUrbddttIU7oVAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRaJ5CCzJtuuil+85vfxOTJk5s9KM2kTW1SUFspV1xxRbZa77nnnhsrrrhijB07NgtRb7nllthqq63iRz/6UaVp9prOnc6R8r7dd989m5GbVvlNAWnXrl2zyZ6bbbZZlhM2OTDnTQpSU7n//vuzFYZzmmV9GzVqVBbuLtgmzRo+88wzs/A1Bdip38suu2wWGKcg+6677mpyyDPPPJOF1ieccELMmTMnvvKVr8SOO+6YzTI+7rjjsiWoX3/99SbHpPD5z3/+c/z+97/PlqROqyGn5avnzp2b9XvmzJlZ+1SfvlL94igfSgC84I307t07S8DT4KXZvwoBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAo0VSM8M/vSnPx2zZs3KQtgFz54CymuuuSarTiFvKink3HPPPWPevHnZ8su33nprnHbaaXHVVVfFo48+Gssss0z85Cc/ibvvvjtrn36pTORMbV966aV48cUX4+qrr47LL788nn322WwW8dtvvx2XXnpp9ZhFbaQZw2mCaZoJvNFGG2WzeKdPn76oQxbal2b/puclP/LII3HDDTdks4Sfeuqp+PKXv5zN2D399NObHLPHHnvE+PHj4zvf+U488cQTccYZZ2SPrU3PG95hhx2yvqR9taVHjx7ZM4nTudJM4xTypmuk5xYnnz59+mTN02rH6X2a9Lo4imm2i0PdNQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0IJDC2fRI1ZbKd7/73UiPWU0lzci99957Iz0rN23XljR7Na3Um0LW9LzdVNJs1hS2prYLPm84tTn88MOzrxR6brLJJtkxaZZvKmkm8FlnnZUtn5xVvPdLmn2bAtS0XHMKVltTUt9T4Lzzzjtnx6TZuD179oz1118/u2aaTZyWck7nXrCk4DeVNNv2yCOPjDXWWKPaJO1LQXcKp1NQWykPPPBAPPjgg9lM4hNPPDEq50j7U7h90kknZf25/vrrsxWO00ziVCrPJh49enR2j6mu9tj0vgilrgA4IaUp4Kn88Y9/zF7TL8cee2yGVa1ow0aaFv7/2LsTeCuren/AP+ZJJglERMURTSEnTEnNEUlES9QwLaxMTc3rNYf0estrt9Qojbqgdi3nqTSNzAExRdSkHBI0R1QUEVEmUebh33q77/6fszkHDocDZ+/Nsz6f036n9b7rfdaW0O9ZayVMhQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBiPfeey/L31ZnkYLTPAA+9thjs6Va0xTNc+bMqTZd8q233prdKo34zUta0jWVNE1yTSVN65xC4LR2cF7y0LNnz57ZNMr58fwzrR+cSpoeua7l4IMPjtdeey0LpFN4PXHixEhrDaefFNK2atUqW1s4BeKf/vSna7xtmva5uOThbdW2pKmcU0nTSeejdqvW23LLLbNRzJMnT86muS4OxtOI31Iu9QqAX3/99UiJd3FJ83Kn3xyoT0kJvkKAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwL8E0gjcq666arUcvXr1KlzTpUuXbP3be+65J5vu+etf/3p2Lo3Wve+++yIt3frlL3+5cH2awjmVNMI3rQVcXNJ00qlMnTo1Fi9enI3Mza9J00PXVPIRwjWdW9Wxzp07xwUXXJD9zJw5Mwt/01TKjz76aKRRuykYTu+VRgvngXUeRqf7pncvLjW1JU01nUoKemsraS3kFACn9y4uW221VfGhktqvVwCc5uBOL11c0m8W1HS8+Lqa9qsuNF3TeccIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIbEgCacrjAw44YI1fOU3nnILStCZvHgCntX/TGsAp/O3UqVPhnnnA++KLL2YjcAsnqmzkOV6aKjpNzZyXquFrfqyhPlOYO3jw4Own3TONDv7mN7+ZjUQ+6aST4u233460Jm99Sr6+cArDayv5uWRWXNJo5FIu9QqATz311Eg/xeW6664rPmSfAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIH1KJBGx6bRtGPHjo00kjaFqbfddlvWgrQmbtWy0UYbxezZs7NRtWlt21ItaTnZFGKnMHr69Onx/PPPZ2sE16e9bdu2zarlQXBN98jPtWvXrqbTJX3sXys0l3QTNY4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgboKpBGqxxxzTCxdujT+8Ic/xIwZM7IwOK3NO2DAgGq32WabbbL9N954o9rx9bUzb968SGsTX3jhhbF8+fJVPjYF2R07dsyuyQPaVVao5eTWW2+dnUlTPNdW8qmxS32655raLwCuScUxAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAmUskKaBTmX06NHZyNlly5bFCSecEM2aNav2VgcffHC2n9bVralMmzYtfv3rX0f6XBclhb5pSudLL700brzxxlU+4rnnnstGNKd1fXfcccdVXruqkwceeGB2evz48TF37tyVLk3TYacpplOQvvfee690vtQPrLMAeM6cOXH99ddnHfb5z38+dtppp7j44oureaTFmvN5xaudsEOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgAxdYvHhxFkSmMHJ1PwsWLKim9bnPfS7S6NWHH3447rzzzuzciSeeWO2atPOtb30rOnToEPfdd1+MHDmy2vlZs2bF8ccfn+V9v/nNb6qda6idNKL33HPPzW6XlqC9/PLLs5C36v2XLFmSrWl8xBFHZIe/9rWvRdeuXateskbbu+yyS7a2chpFfOaZZ0YKx/Py8ccfxxlnnJHtpjWHk01dS742cFqvuDFLvdYAXl2Dr7jiivjBD34QCahqScPLq5b0hUkJfVqEem1S+qr3tE2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgEgQmTpwYW265ZZ1eJYW8Q4YMKVzbpEmTbMTvD3/4w2z65379+sWnP/3pwvl8o1u3btn6wGnK6BR8jho1Knbeeef46KOP4vHHH8/yvkMOOSTOO++8vEqDf+a54s9//vP43ve+FxdccEFsscUW0alTp1i4cGFMmTIl+0wPPvroo1cKquvToDSQ9YADDshGHaeRwHvttVc2cDVtf/DBB7HvvvvGT37ykzW6df/+/ePee++NwYMHx/bbbx9pdHUKtNd3afAA+Oyzz44rr7yy8B5pEeWUjKfFmKuWd999N9K82itWrIiBAwfGCy+8EO3bt696iW0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECG5xAWqM2BZ1rUnr27LnS5cOGDYuXXnopO37cccetdD4/cNhhh2VZ3S9+8Yt47LHH4sknn8ymP06z/A4dOjS+8pWvZIM68+tTaJzaV9v6uNttt112fs8998yrrPIzDRj92c9+FmnE7c033xwTJkzIRjynIDaNqt19991jjz32yNqSgtqqJU1pnVul+xSXjTfeODu/ySabVDuVAuY0pfT//M//ZKOfU9jdvHnz2G233bL1k5Nd2q9ajjzyyCwQb9euXdXDhe2rrroqa2+aQjrVTQ6NUZr8M4Bd0VAPTon4fvvtl90uLSB90UUXRUq6r7vuumz4+Le//e3stwby56Uvz6BBgyJNF/3jH/84S/Pzcz4JECCwLgTSbwrNnj07u3X6A3pNpm5YF+1xTwIECBBYe4H019n8lw3TX6zXZvqftW+NOxAgQIBAQwnMnDkz0nR3qaT/uFS8TllDPXUX9GwAAEAASURBVMd9CBDYsAXGDNuw39/bb1gCA27YsN7X21aewBk3tSiLl/qfry4pi3ZqZGULrByDr8X7piHhqaQh4g888EA2NDr9C1oaYl5TSeFwGsqdyh133FHTJY4RIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQB0FGjQATiN6U/nRj35ULfRd1SDjNGy8ZcuWkYZCV11guY7tdxkBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI/J9AgwbA7733XraOb/F81rWNAE5tSPN29+jRI5YuXZotJq1nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKB+Ag0aAKegd1WjfWtrYr6mT/FCyrVd7zgBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIrCzQoAHwFltsER9//HFMmjRp5SfVcuTNN9+MadOmRceOHbPRw7Vc5jABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIrEagQQPg/fbbL3vc+eefX20939pGBac1f88666yszr777ruapjpNgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAqsSaNAA+NRTT400DfT9998fBx10UPzlL3+pcUroFPw+8sgjceCBB8bo0aOz9p1++umraqdzBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQILAagearOb9Gp/v16xfnnXdeXH755TFu3Ljo379/NrVzmzZtsvvceeed8eijj8aUKVNi/vz5hXt/85vfjIEDBxb2bRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAmgs06Ajg9PjLLrsshg8fHm3bts1aM3fu3Jg+fXq2/cEHH8RLL71UCH9btmwZF110UVxzzTXZef9DgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvUXaNARwHkzzjnnnBg2bFjcfPPN2VTPr732WsyZMyeaNm0anTt3jm233TbSmr/HHXdc9OjRI6/mkwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTWQmCdBMCpPV27do1///d/z37Won2qEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAdBeo9BfTDDz8cP/7xj+P555+v46NcRoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLrUqDeI4Dfeuut+I//+I/sp2fPnjFo0KA4/PDD48ADDyys/7suG+7eBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECG4bA/3x1yYbxot6SQAMI1HsEcNVnT506Na655poYPHhwdOnSJQ477LAYNWpUTJkypepltgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgHQrUOwAeMmRI3HzzzfHVr341Ntlkk0ITFy5cGPfff3+cfvrp0atXr9h5553je9/7XowfPz6WLVtWuM4GAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDSsQJMV/yxre8t0i7///e/x4IMPZj9PPPFELFmy8lD8zp07x8CBA7Ppor/whS/ExhtvvLaPVp8AAQJrJJB+SWX27NlZnXbt2kWHDh3WqL6LCRAgQKD0BNLfRadPn541rHnz5tG1a9fSa6QWESBAgMAaC8ycOTMWL16c1evWrVs0a9Zsje+hAgECBFYnMGbY6q5wnkDlCAy4oXLexZsQIECAwKoFGiQALn7Exx9/HI888kg88MADWSA8efLk4kuyf3Hba6+9CmsH9+nTZ6VrHCBAgEBDCwiAG1rU/QgQIND4AgLgxu8DLSBAgMC6EBAArwtV9yRAoFhAAFwsYr+SBQTAldy7G8a7db/3gbJ40emHDyyLdmpkZQvUewroVbFstNFG2XrAI0eOjNdffz37SdtpjeD27dtnVdN00Gmk8IUXXhh9+/aNQw89dFW3dI4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEViOwTgLg4mdus802cdppp8Xo0aNj1qxZ8de//jWuuOKKSOsIt2nTJrs8HVcIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoP4Czetfdc1rpun5Jk6cGI8//niMHz8+GwG8YMGCNb+RGgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCwksA6D4CnTZuWrQP84IMPxtixYyOt4VNc0vq/xx57bPFh+wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCwBgINHgAvXrw4G92bAt8HHnggJk2atFJzNtlkkzjkkEOynwEDBkT37t1XusYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEFgzgQYJgF977bVslG8KfB999NH45JNPqrWidevWse+++xYC3759+0aTJk2qXWOHAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNZOoN4B8CuvvBIjRozIgt833nhjpVakkDeN7k0jfffbb79IIbBCgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAutOoN4B8Pjx4+Oqq67KWtaiRYvYdddd47Of/Wz0798/9t9/f9M6r7s+c2cCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjUKNC0xqNreHDJkiUxZ86c+Oijj+Ljjz+OefPmreEdXE6AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECaytQ7xHABx10UJx//vnZFNDPP/98vPrqq9nPDTfckLWpV69eceihh2bTQKdrO3bsuLZtVZ8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEViHQZMU/yyrO1+nU9OnTY8yYMfHAAw/EQw89FB9++GG1es2aNcumh05rAqefPffcM9IxhQABAutbYOHChTF79uzsse3atYsOHTqs7yZ4HgECBAg0sED662z6+2gqzZs3j65duzbwE9yOAAECBBpDYObMmbF48eLs0d26dfPfERqjEzyTwAYgMGbYBvCSXpHA/wkM+NfYLR4Eylag+70PlEXbpx8+sCzamTfyxRdfjBkzZkTv3r2jR48e+eFVfr7yyisxbdq02HbbbWPzzTdf5bVONo5AgwTAVZu+fPnyeOaZZ7KRwSkQnjBhQixdurTqJdGpU6dIo4JTGJxGCW+55ZbVztshQIDAuhIQAK8rWfclQIBA4wkIgBvP3pMJECCwLgUEwOtS170JEMgFBMC5hM8NQUAAvCH0cmW/44YeAKfA9f77748U2M6aNSv7JfjNNtss9tprryxza9myZb2+AEOHDo077rgjrr766jjllFPqdI9vfetbce2118bw4cPjnHPOqVMdF61fgXpPAV1bM5s2bRr9+vXLfi666KKYO3dujB07NguEH3zwwXj77bez9YLvuuuuSD+pbL/99jFs2LC48MILa7ut4wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ2KIE0Ove73/1u3HbbbbFs2bIa332TTTaJSy65JE4++eQazzu44Qk0XdevnNb+HTJkSPzqV7+KKVOmRBoWnn4r4MQTT8yGhqfnp/WD77777nXdFPcnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUBYCb7zxRuyxxx5x8803R/v27eP888/PlmL9xz/+Ec8991zccsst8YUvfCHef//9bPRuGpmrEEgCDT4CeHWsm266aTaHePpthDSX+DvvvBOLFi1aXTXnCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECGwQAkuWLIkvfvGLWY62++67x7333hvdu3ev9u677LJLfOUrX4lbb701m2k3DcDs06dPnHnmmdWus7PhCazzADitCfz0009HWg84/fz1r3+tcYh6CoQVAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAhu6wHXXXReTJk2KNNPu6NGjVwp/q/qkEPjNN9+MtDTr97///fj617+ejRjOr0lh8ogRI7LZeKdPnx5dunTJRg6fe+65sWLFivyyap9puulRo0bFb3/720jrD3fu3DkGDBiQjUKurU61G9hpVIF1EgCn+cjHjBmTLUadPj/88MOVXrJFixaxzz77xOGHHx6DBg2K3r17r3SNAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ2NIHrr78+e+VTTjklm1F3de9/9tlnx09/+tOYM2dO/P73v89GBKc6aaDmkUcemWV2G220URxwwAHRvHnzuPrqq7NjabbemsrQoUPjzjvvjDZt2sSBBx4YrVq1itSmP/7xj7HzzjvXVMWxEhJokAA4/RbAU089lX1R0ijfZ599tsbfGOjWrVv2GwUp9E2/JdChQ4cSotAUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAo0rsGDBgmxG3dSKwYMH16kxKahN2VsasTtu3LhCAHzHHXdk+V2aiTfN0rvFFltk91u4cGEcc8wx2bniB6TpplP4m0b9TpgwIbbbbrvsksWLF8fXvva1LGAurmO/tATqHQDPmjUr7rnnnuyLMXbs2Ow3CopfrUmTJrHrrrtmI3zTKN8999wz0jGFAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGVBaZMmVJYTnXHHXdc+YJajqSRuSkAnjx5cuGKm266Kds+66yzCuFvOtC6detsFHAeCBcq/HMjr3PqqacWwt90vmXLljFy5MhsKumq19suPYF6B8B33313nHTSSSu9Ubt27eKQQw7JQt/DDjusTsPSV7qJAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ2QIGPP/648NZpDeC6lvzaefPmFaqkUb+pfP7zny8cyzc222yzbDrniRMn5oeyz7zO/vvvX+142knrB/fr1y+eeOKJlc45UDoC9Q6Aq77C1ltvnQW+aWrn9AVK84ArBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAismUAanZuX+fPn13lJ1TR1dCp5/bQ/c+bM7FgKe2sqvXr1iuIAeOrUqautIwCuSbN0jtU7AE6h7/DhwyOFvjvssEPpvJGWECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEChTgc0337zQ8tdffz122223wv6qNt54443s9JZbbpl9pvA4L3konO/nn8XHlyxZEkuXLs1OF5+rrU5+3GfpCDStb1MOOOCAOOecc4S/9QVUjwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECRQJrKOV/796GHHio6W/vuo48+mp3s379/9tmiRYvCxYsXLy5sV9345JNPqu5Gs2bNokmTJtmxRYsWVTuX7xTXyY/7LB2BegfApfMKWkKAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcgSOPfbY7GWuuuqqWLhw4WpfbOzYsfHqq69GCn2PPvro7PoOHTpE27Zts+1p06bVeI981HB+smnTptG1a9ds97333ssPV/ssrlPtpJ2SEBAAl0Q3aAQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBfwl85zvfic6dO8eUKVPi29/+dqxYsaJWmunTp8fJJ5+cnT/11FNj0003LVzbt2/fbPvJJ58sHMs33nzzzXj55Zfz3cLnZz7zmWy7pjrvv/9+PPvss4VrbZSmgAC4NPtFqwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDZQgS5dusT111+fTcmcPgcMGBBPP/10NY00RfOtt94a/fr1ixTmprWCL7300mrXHHXUUdn+lVdeGTNmzCicS6OKTz/99GzEcOHg/20MGTIk2xo5cmRMnTq1cDqtD3zGGWdEGiWslLaAHirt/tE6AgQIECBAgAABAgQIECBAgAABAgQIECBAgACBDVDgiCOOiD/84Q/RrVu3SFM8p6A3be+6666x0047RadOneL444/PQtoU9D788MPRrl27alKnnXZa7LDDDvH2229n6woPHTo0jjvuuNhmm23irbfeimOOOSa7ftmyZYV6J554Yuyyyy6RRvvuvPPOkaajTs9JdZ555pn46le/ulKdQmUbJSEgAC6JbtAIAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAtUFBg0aFK+//nqMGDEiDj744GxE8EsvvZQFultttVWcdNJJ8fjjj8ddd92VBcLVa0cWCD/22GNxyimnZOsB33PPPTF+/Pg4/PDDY9y4cfG5z30u9t9///jUpz5VqNqqVat45JFHIk1D3bFjxxg9enS2f9BBB2XP2meffbI63bt3L9SxUVoCTf45Z3jtk4aXVlu1hgABAmstkKa1mD17dnaf9JtQHTp0WOt7ugEBAgQINK5A+utsWusmlebNm0fXrl0bt0GeToAAAQINIjBz5sxYvHhxdq80yqFZs2YNcl83IUCAQFWBMcOq7tkmUNkCA26o7PfzdpUv0P3eB8riJacfPrAs2qmRlS1gBHBl96+3I0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgAxIQAG9Ane1VCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCobAEBcGX3r7cjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGADEhAAb0Cd7VUJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKhsAQFwZfevtyNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYAMSEABvQJ3tVQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqGyB5pX4eosXL47Zs2dHq1atolOnTmv9iuleixYtig4dOkTbtm3X+n5uQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXUhUFEB8CuvvBJXX311PPfcc7Fs2bLMa5NNNomjjz46jj322GjatO4DnlPge9NNN8W9994bM2fOLNhvvfXWcdxxx8XAgQMLx2wQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgFAQqJgCeNGlSnHXWWZFG//bt2zd69+4dH330UYwfPz5GjhwZb7/9dpx33nl1Mk/h75lnnhn/+Mc/ok2bNnHggQdGx44dY/LkyTFx4sT40Y9+FO+//34MGzasTvdzEQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNaHQEUEwMuXL4/LLrssC39PP/30GDp0aMEuBbUnn3xy/PGPf4yDDjoodt9998K52jZuueWWLPzt2bNn/PKXv4xPfepThUv/9Kc/Zc+6/vrr44gjjojOnTsXztkgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAYwrUfU7kxmzlap79zDPPZCN8e/XqVS38TdXSFND5SN277rprNXf61+kxY8ZkGyk4rhr+poODBg2KHj16xNKlSyONOlYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQKgIVEQA/9dRTmee+++5bo+s+++yTHf/b3/5WWBu4xgv/7+DPfvazbNrovfbaq8bL8lB4wYIFNZ53kAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAo0hUBFTQKe1eVPZZpttajTs1q1btG/fPubNmxfvvvtubLHFFjVelx/cbLPNIv3UVNLI3ylTpmSnanteTfUcI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJ/A9MMH1q+iWgQ2QIGKCIA//PDDrOu6dOlSaxemcykA/uCDD1YbANd6k3+euPPOO2Pu3LnRt2/f2HbbbVd16SrPLV68eJXnnSRAYN0IpF/iyMuyZcuytcPzfZ8ECBAgUJ4CK1asKDQ8bft7VoHDBgECBMpaoOqf7+nP9mbNmpX1+2g8AQKlKtCyVBumXQQaXMC/KzU4adnesEWLFtGkSZOybb+GEyCweoGKCIDnz5+fvWmbNm1qfeP8XH5trReu4sQTTzwRV199dbRr1y7OP//8VVy5+lMzZ85c/UWuIEBgnQosXLgw0o9CgAABApUjkH65x9+zKqc/vQkBAgRygTlz5uSbPgkQINDAAps28P3cjkDpCvh3pdLtm/Xdsu7du6/vR3oeAQLrWaAiAuD8t4JX9Rsr+bn82jV1Hj16dFxxxRXRsmXLuPzyy9dqFPGaPtv1BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqItARQTArVq1yt51VVNYLFq0KLsmv7YuOOmaNF3siBEj4p577ok0jXQKf3v37l3X6rVel49IrvUCJwgQWCcCVad9bt68eaTpThQCBAgQKG+B9At++YwO6Zf+WrduXd4vpPUECBAgkAmkf49fvnx5tp3+Xb5p06ZkCBAgQIAAgbUQ8N+k1wJP1ZIQGDOsJJqx2kYMuGG1l7iAwDoXqIgAeOONN4533303VjUl1KxZszLMVa0TXKydpou+6KKL4m9/+1tsv/32cemll0a3bt2KL6vXfqdOnepVTyUCBNZOIAUE+S+LpP+I1KFDh7W7odoECBAg0OgCKQCePn161o60PqS/ZzV6l2gAAQIEGkQgTVOZ/929Y8eO1gBuEFU3IUCAAIENWcC/K23Ive/dCRDY0AQq4tdnt9hii6zfpkyZUmP/zZ07N2bPnp39y+Lmm29e4zXFB1NIdM4552Th73777RejRo1qsPC3+Fn2CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0BACFREA77777pnF008/XaPJX//61+x4nz59oq5TQF9yySUxadKkGDBgQPzwhz+sc70aG+AgAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE1oNARQTA++yzT7Rv3z5SAPzCCy9UY1uyZEnccsst2bHBgwdXO5dGDD/77LNRPHL4T3/6U4wfPz522mmnuOCCC6wzVE3NDgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECpSpQEWsAp8XrTz311Bg+fHicd9558Y1vfCN23HHHbNrn22+/PSZPnhxp9O/BBx9crR9uvfXWuO++++Kwww7Lgt50cunSpfG///u/2XVpvd8bb7yxWp2qO9tuu22k6aEVAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlIJARQTACfKII46ITz75JAtvR4wYUc22X79+cfHFF9dpJO+CBQti5syZWf1HHnmk2n2KdwYOHCgALkaxT4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAowlUTACcBI877rhIoWxa83fGjBnRrl27bOTvdtttVyPw8ccfn13fpUuXwvk0mrg4QC6cLNqoWq/olF0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAisd4GKCoCTXufOnePQQw+tE+QWW2wR6adqad68eey2225VD9kmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAWQg0LYtWaiQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIrFZAALxaIhcQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgPAQqbgro8mDXSgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKNK/DOO+/E3Llzo0ePHrHxxhvXqTHvvvtuzJ49O7p37x6f+tSn6lSnvhctWrQoXnvttUhLuO6www71vc0GV08AvMF1uRcmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoJ4F58+bFI488Ei+88ELMmjUrC0R79uwZn/3sZ2OPPfaIJk2a1Ot1zj333Ljjjjvi6quvjlNOOaVO97j44ovj2muvjeHDh8c555xTpzr5RS+//HI8/vjjMWXKlJg/f360bt06Nttss+w9dt999/yywufkyZOjT58+WUCdgmelbgIC4Lo5uYoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAehVIwe/3v//9+NWvfpUFpjU9vHfv3vHjH/84jjrqqJpOl8SxN954I77xjW/EuHHjam3PLrvsEjfddFPsvPPOtV7TmCdeffXVeP755+OYY45pzGbU6dnWAK4Tk4sIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIrD+B9957L/bcc8/4+c9/HsuXL88C1Ntuuy0LUR966KHseL9+/eKVV16JIUOGxAUXXLD+GrcGT0rTRe+3335Zu/fZZ5/47W9/GylMnTZtWrz00ktx4403ZqN8//73v8dBBx0UH3744Rrcff1dOmLEiDjhhBPW3wPX4klGAK8FnqoECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEGlogBb5pRG+aMjmN8L333ntj2223rfaYgw8+OP7t3/4tfvGLX8RZZ50Vl112WXbtiSeeWO26xt65/vrrI03fnKZ4fvTRR6NZs2aFJm266abZ2r7pXXfbbbcsGE6B93//938XrimVjaeeeqpUmrLadgiAV0vkAgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLrT+CWW26JFDi2bds27rvvvth6661rffiZZ56ZBaw/+clP4rzzzosvf/nL0aZNm8L1K1asyEbZ/v73v4/p06dHly5d4rDDDouTTz450rnaShpt/Lvf/S4bqdupU6cYMGBAnHbaaausU9O9XnzxxezwIYccUi38rXptu3btsmmu33zzzWw94Pxc3r58jeO0DnJafzitDdyyZcts/ePvfve72TrCeZ3885NPPonrrrsuWzs5jTZOwfN2222XjZY+/PDD88uyz7Su8n/9139FCqST4eWXX56F7nvttVcceOCBMWbMmJg4cWI2EjuF7qmcfvrpsf3222fbpfY/AuBS6xHtIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQ2KAFfv3rX2fvf9JJJ60y/M2RLrroohg1alR88MEH8Yc//CGGDh2an4rjjz8+UpjbvHnzSFNGp3WFzz///LjnnnuiY8eOheuqbpxyyilZIJtC0z322CMWLFgQF198cdx5552xzTbbVL10tdvt27fPrnnhhRdWee3nP//5SD9VSx4At2rVKnu/M844I3t+Csafe+65GD9+fNx+++3Z2rxdu3YtVE1TTB966KHx1ltvZYF3nz59sndIwXoakZymzE71kkkqixYtykZSp6C9RYsWceGFF2bHU5DeuXPnuOGGG2Lp0qXZsbROcSpp1HKpBsDWAM66yP8QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaHyBxYsXx5NPPpk15Etf+lKdGpRC1jTCNpU///nPhTop5E3hbxrBm9bYTfdNoenUqVOzQPOBBx4oXJtvPPzww1n4m0blTpgwIRuJPG7cuKxOCozvuuuu/NI6fX7xi1/MrkvTWH/zm9+MKVOm1Kleuigf+Ttnzpy49NJL44knnojXXnstC3zTfdK02Gmt5DQqOC9p+uyjjz46C39TkJ1G/6aRw2lEdaqb6qR3+OlPf5pXKQTBadTwyJEj45prrol33nknC35TuJ4C5VTSqOM0Wjj9FIfVhZuVwIYAuAQ6QRMIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIJIE0anXJkiUZxk477VRnlM985jPZtSnkzEsa7ZpKmra46r3SqNY0yjiN7C0ueZ0UnqZ1e/PSoUOH+M1vflNoW358dZ8pKP3P//zP7LJUf6uttoq+fftGGs2bwum0PnBtJQ+AU+B6xRVXxN577124tHv37lmgnA48++yzheMp1J40aVL07NkzfvnLX2ahbX5yyy23jOHDh2e7ae3kfIRxGvWbyvvvv5+Nnk7TY6f6m222WXa83P5HAFxuPaa9BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECFSvw0UcfFd4tjdyta0mhbipz584tVPnLX/6SbR900EGFY/lGmsp5xx13zHcLn6uqk9bIrRoKFyqtZuOSSy7JRu+m0cBpFG0KaNNI26985StZ0JoC4SuvvLLGQDrdOtU58sgjV3rK5ptvnh1LI4TzMnbs2Gxz0KBB2XTO+fH8M00Nnaa2TiOHq4bl+fljjz023yzbTwFw2XadhhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFSaQFrvNi9pbdq6lvzavH7anzFjRlZ9iy22qPE2Na3n+/bbb69xnRpvXnSwf//+cffdd2fTJ6eQNoXCAwYMiDTVdAqEzz777EijmPPnV63epUuXaiN583P5Gr75SN50/PXXX89Op6meayppXd8UZKeSRlsXl1Jd17e4navaFwCvSsc5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAutRIE09nJc33ngj31ztZx5m5qNi03q2eUmhZ02l+Hiaejqffrr4XF6/tuP5+dV9tm3bNtKI5DQt9IMPPhgzZ86Mm266Kbp27ZqNyE3TLxeXfCrouhyfN29edlkKlmsr+bmqRvm1qX3lXgTA5d6D2k+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAxAmkq53z06p///Oc6v9djjz2WXbvXXntln2ma47zkoW6+n38WrwFcnzr5ver7mUYsn3DCCXH77bdntxgzZkxUnQZ7Te+bpotOJR8RXVP9/Fw+Wrqma8r5mAC4nHtP2wkQIECAAAECBAgQIECAAAECBAgQIECAAAECBCpOYMiQIdk7XXXVVbF06dLVvt+TTz4ZL7zwQjRt2jTyuh06dIg84Jw+fXqN98hHDecnU/003XIqda2T163pMwWtTz31VPz+97+v6XS1Y/369cv203TOVdf0rXZRHXby6a5rmko6VV+2bFm2/m/azq9N25VUBMCV1JvehQABAgQIECBAgAABAgQIECBAgAABAgQIECBAoOwFzjzzzNhoo43i1VdfjfPOO2+V7zN37tzIp03+2te+FltuuWV2fZo2eeedd862J0yYsNI9pk2bFi+++OJKx/v06VNrndmzZ8fTTz+9Up3aDvz973+PvffeO4499th4+eWXa7ssO/7ss89mn2kK5u7du6/y2lWd3GeffbLTaZ3hmkoKy1MwvfHGG8eOO+5Y0yVlf0wAXPZd6AUIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqSaBHjx4xatSo7JWuvPLKGDp0aBSP1k0jZdN0yWnK5xTk9u7dO9K1VcuRRx6Z7Y4YMaLatMppFOzZZ58dNa2tm9dJz581a1bhdul55557bjaCtnBwNRuf/exn44ADDsjqDBo0KB5//PEaa6RRwl//+tezc8OGDYt8GucaL17NwaOPPjpbT3jSpElx4403Vrs6Bb8XXXRRduykk06KqlNeV7uwaKd58+bZkcWLF0cKwUu9/Ku1pd5K7SNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCwAQl89atfzQLa0047Le6444747W9/GzvssEP07NkzG8GaRtTOmDEjE9lvv/2yazp16lRN6Iwzzohrr702G0mcRvYOHjw4myY6jY6dP39+HHXUUfG73/2uWqj7rW99KwufX3vttUh1UiDcokWLeOSRR+KDDz6I4447Lm6++eZqdao9tGjntttui8MPPzwbObzvvvtGr169spHJaYTzJ598Ei+99FK8/vrrWa1DDjkkhg8fXnSHNdtt165dXHfdddm7pVB59OjRseuuu2YB+D333JNZ7LnnnvH973+/zjdOo4U322yzePfdd2P//ffP2p/eKVmUYjECuBR7RZsIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ2eIETTjghCyzTqNW+ffvG5MmT46GHHorHHnss0ojcFM7efffd8eijj9Y4bXLnzp2za1PQm8LbkSNHZoFwCpJTnbTu7k477RQpNM1L2h43blw26jhNL53WIb7mmmuyqaXTc9OUzqlOWmO4LmWTTTaJv/zlL1koe+ihh8a8efPi3nvvjdtvvz3++Mc/ZvvpPe6666548MEHq7UlrWGcnpVGN9dUUhvS+RQqVy1ptHGa6jkF3umeyS8Pli+55JLs3au+cxoJnO6Tfmorv/71r7M1gydOnBj3339/FsLXdm1jH2/yzy/HisZuhOcTIEBgfQksXLiwMD1D+sO9rv8Htb7a5zkECBAgsOYC6a+z06dPzyqm6Xi6du265jdRgwABAgRKTmDmzJmRpldLpVu3bnWemq3kXkSDCBAoaYExw0q6eRpHoEEFBtzQoLdzMwLrXaBc/sxe1/+spf8O8vHHH2cjclu3br1G/ZDXTSNva5r6uaab5XXSf09v2rThxpWmv+un/17fpk2b7F1qenZDHktmKUxOI5nXtiSTuvqt7bPqW98U0PWVU48AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAehRIwWP79u3r9cT61K1Pnbo0Lq3xuzbr/NblGVWvSaF3Q5VSD3/TezZcVN9Qau5DgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvUSEADXi00lAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlJ6AALj0+kSLCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUC8BAXC92FQiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA6QkIgEuvT7SIAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC9RIQANeLTSUCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUnoAAuPT6RIsIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQLwEBcL3YVCJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEDpCQiAS69PtIgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL1EhAA14tNJQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJSegAC49PpEiwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAvgeb1qqUSAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfUkMOCG9fQgjyFQAQJGAFdAJ3oFAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIJAEBsO8BAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKkRAAFwhHek1CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIAD2HSBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECFCAiAK6QjvQYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQEwL4DBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqBABAXCFdKTXIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAgADYd4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIVIiAArpCO9BoECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQAPsOECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEIEBMAV0pFegwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgJg3wECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUiIAAuEI60msQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOw7QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQoREABXSEd6DQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAiAfQcIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQIQIC4ArpSK9BgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAbDvAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCpEQABcIR3pNQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQICAA9h0gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAhQgIgCukI70GAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBMC+AwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgQAQFwhXSk1yBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgIAA2HeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECFSIgAK6QjvQaBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQEAD7DhAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBCBATAFdKRXoMAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQICYN8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVIiAALhCOtJrECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAQADsO0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEKERAAV0hHeg0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgIgH0HCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUCECAuAK6UivQYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQGw7wABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqREAAXCEd6TUIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAgAPYdIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQIUICIArpCO9BgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBATAvgMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoEAEBcIV0pNcgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQICAANh3gAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAhUiIACukI70GgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBAA+w4QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgQgQEwBXSkV6DAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECAmDfAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFSIgAC4QjrSaxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQEAA7DtAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBChEQAFdIR3oNAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQICIB9BwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAhAgLgCulIr0GAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBsO8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKkRAAFwhHek1CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIAD2HSBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECFCAiAK6QjvQYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQEwL4DBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqBABAXCFdKTXIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAgADYd4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIVIiAArpCO9BoECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQAPsOECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEIEBMAV0pFegwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgJg3wECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUiIAAuEI60msQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOw7QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQoREABXSEd6DQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAiAfQcIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQIQIC4ArpSK9BgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAbDvAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCpEQABcIR3pNQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQICAA9h0gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAhQgIgCukI70GAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBMC+AwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKgQAQFwhXSk1yBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgIAA2HeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECFSIgAK6QjvQaBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQEAD7DhAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBCBJpXyHuU3WssX7687NqswQQqQWDFihWF10jb/lkscNggQIBA2Qr4s71su07DCRAgUGeB9Pf2Jk2a1Pl6FxIgQKDuAsbH1N3KleUu4L+DlXsPNlz7mzb1Z1/DaboTgdIUEAA3Ur+8//77jfRkjyVAIBeYP39+pB+FAAECBCpHYNmyZeHvWZXTn96EAAECucCHH36Yb/okQIBAAwts2sD3czsCpSvg35VKt2/Wd8u6d+/ul+vWN7rnEVjPAgLg9QyeP65jx475pk8CBNajwJIlSwqhb8uWLaNNmzbr8ekeRYAAAQLrQiCNAP7oo4+yW6ffYm7fvv26eIx7EiBAgMB6Fvjkk09i6dKl2VPTn+1GqqznDvA4AgQIEKg4Af9NuuK61AsRIECgVgEBcK006/ZE27Zt1+0D3J0AgRoFFi5cWAiAW7RoEf5ZrJHJQQIECJSVQHEA7M/2suo+jSVAgECtAgsWLCicS7+42axZs8K+DQIECBAgQGDNBfy70pqbqUGAAIFyFTDRe7n2nHYTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgSEAAXARilwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAuUqIAAu157TbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBQJCICLQOwSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgXAUEwOXac9pNgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBIgEBcBGIXQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJSrgAC4XHtOuwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAkIAAuArFLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBchUQAJdrz2k3AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEigQEwEUgdgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFCuAgLgcu057SZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECRgAC4CMQuAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEylVAAFyuPafdBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKBIQABeB2CVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEC5CgiAy7XntJsAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJFAgLgIhC7BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKFcBAXC59px2EyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEhAAFwEYpcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLlKiAALtee024CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgUCQiAi0DsEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoFwFBMDl2nPaTYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSIBAXARiF0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUq4AAuFx7TrsJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQJCAALgKxS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXIVEACXa89pNwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIoEBMBFIHYJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQrgIC4HLtOe0mQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAkYAAuAjELgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBMpVQABcrj2n3QQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECgSEAAXgdglQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAuQoIgMu157SbAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECRQIC4CIQuwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEChXAQFwufacdhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBIQABcBGKXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC5SogAC7XntNuAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIFAkIgItA7BIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBcBQTA5dpz2k2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEiAQFwEYhdAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlKuAALhce067CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUCQgAC4CsUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFyFRAAl2vPaTcBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSKBATARSB2CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUK4CAuBy7TntJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJGAALgIxC4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTKVUAAXK49p90ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoEhAAF4HYJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQLkKCIDLtee0mwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAkUCAuAiELsECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoVwEBcLn2nHYTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgSEAAXARilwABAgQIECBAgAABAgQIECB9yfp8AABAAElEQVRAgAABAgQIECBAgAABAuUqIAAu157TbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBQJCICLQOwSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgXAUEwOXac9pNgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBIgEBcBGIXQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJSrgAC4XHtOuwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAkIAAuArFLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBchUQAJdrz2k3AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEigQEwEUgdgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFCuAgLgcu057SZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECRgAC4CMQuAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEylVAAFyuPafdBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKBIQABeB2CVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEC5CgiAy7XntJsAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJFAgLgIhC7BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKFcBAXC59px2EyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEhAAFwEYpcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLlKiAALtee024CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgUCQiAi0DsEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoFwFBMDl2nPaTYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSIBAXARiF0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUq4AAuFx7TrsJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQJCAALgKxS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXIVEACXa89pNwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIoEBMBFIHYJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQrgIC4HLtOe0mQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAkYAAuAjELgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBMpVQABcrj2n3QQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECgSEAAXgdglQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAuQoIgMu157SbAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECRQIC4CIQuwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEChXAQFwufacdhMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBIQABcBGKXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC5SogAC7XntNuAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIFAkIgItA7BIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBcBQTA5dpz2k2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEiAQFwEYhdAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlKtA83JtuHYTIECAAAECBAgQIECAAIH1KdD93gfW5+M8i0CjCkw/fGCjPt/DCRAgQIAAAQIECBCov4ARwPW3U5MAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIlJSAALqnu0BgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjUX0AAXH87NQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBSAgLgkuoOjSFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgED9BQTA9bdTkwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAiUlIAAuqe7QGAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECNRfQABcfzs1CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUFICAuCS6g6NIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQP0FBMD1t1OTAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECJSUgAC6p7tAYAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI1F9AAFx/OzUJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQUgIC4JLqDo0hQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA/QUEwPW3U5MAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIlJSAALqnu0BgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAjUX0AAXH87NQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBSAgLgkuoOjSFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgED9BQTA9bdTkwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAiUlIAAuqe7QGAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECNRfQABcfzs1CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUFICAuCS6g6NIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQP0FBMD1t1OTAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECJSXQvKRa00CN+eijj2LGjBnRunXr6NGjRzRtKuduIFq3IUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECghAUqKgB+7rnnYtSoUfHyyy8XyDt06BBf+tKX4sQTT4zmzdf8dT/88MO47LLLYuLEibHrrrvG5ZdfXri3DQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJSSwJonoqXU+iptefrpp+Occ86JZcuWRf/+/aN3796RRgI//PDDccMNN8S7774bP/jBD6rUWP3mQw89FFdeeWXMmzcvu3jx4sWrr+QKAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINJJARQTAKfQdPnx4Fv6ed955MXjw4ALnsGHD4qSTToqxY8fGgAEDYu+99y6cW9VGCov//Oc/xzbbbBNHHXVUFiKv6nrnCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0NgCFbE47oQJE2LatGmx7bbbVgt/E27nzp0jhcCp3HPPPdlnXf5n3Lhxccwxx8SvfvWr2GqrrepSxTUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoVIGKCID/9re/ZYif+9znasTMj6dpopcuXVrjNcUH04jiM888M1q2bFl8yj4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRKUqAiAuDJkydnuGm65ppKly5dokOHDpHW8J06dWpNl6x0rF+/fisdc4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKlLFARawDPnDkzM954441rtU4h8EcffRQffvhh9OrVq9br1teJhQsXrq9HeQ4BAlUElixZUthLMwL4Z7HAYYMAAQJlK7BixYpC25cvX+7P9oKGDQIECBAgUH8B/65Ufzs1y02gdbk1WHsJ1FvAn+31pqu4iq1atYomTZpU3Ht5IQIE/r9ARQTACxYsyN6odeva/8KWn8uv/f8EjbM1e/bsxnmwpxIgUBBYtGhRpB+FAAECBCpHIAXA/p5VOf3pTQgQIECg8QT8/2nj2Xvy+hbYdH0/0PMINJqAP9sbjb7kHty9e/eSa5MGESDQsAIVMQV0PupjVb+xkp/Lr21YRncjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA4wtUxAjgfHTvqkby5dNbtGnTpvHV/9mCdu3alUQ7NILAhiaQpn3O/6xo3rx5pOlOFAIECBAob4H0C37z58/PXiL90l/btm3L+4W0ngABAgQIlICA/25RAp2gCQQIEGhgAX+2NzCo2xEgQKCEBSoiAO7cuXNMnTo15syZUyv1rFmzsnNpLeBSKB06dCiFZmgDgQ1OIP0ySB4Ap/DXP4sb3FfACxMgUIECVQPgZs2a+bO9AvvYKxEgQIDA+hfw70rr39wTCRAgsK4F/Nm+roXdnwABAqUjUBFTQG+11VaZ6FtvvVWjbFrbIIXDabRfz549a7zGQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJS7QEUEwHvssUfWDxMmTKixP5566qns+C677BItW7as8RoHCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUO4CFREA9+/fP9I00M8//3w888wz1fokTfd6yy23ZMeOOOKIaudeffXVeOyxxyJ9KgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECh3gYpYAzit4/md73wnLrnkkrjgggvi+OOPjx122CHS1M933nlnTJkyJfr16xf7779/tf6666674r777ovDDjssq5effPbZZ+Pxxx/Pd+Odd97Jtt9+++34xS9+UTi+/fbbx8CBAwv7NggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINCYAhURACfAQw45JBYsWBAjR46Ma6+9tprpAQccEN/73veiSZMm1Y7XtvPKK6/E7373u5VOz5gxo9rxdF8B8EpMDhAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0EgCFRMAJ780xfPBBx8czz33XKSwtm3bttGnT5/o0aNHjbzf+MY3YsiQIdGxY8dq51Oou/vuu1c7VtNO+/btazrsGAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBBpFoKIC4P/H3p3A2z7V/QNf97rca3YrY4SoKEPIlIqnaHw0RyrC0yhpeCr8lQelQdFAepoUKkoa9BiKlCkUISEyzxnLeC/38vf5vZ7fefY5d+9zzzn2uXt6r9fr3L33b1zrvVj7t3/f31orggn6brHFFmPCXH755Uv+RqbMJ5w/iQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAr0kMLWXMiuvBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBaQAC4tY01BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6CkBAeCeqi6ZJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQGsBAeDWNtYQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgpwQEgHuqumSWAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECrQUEgFvbWEOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGeEhAA7qnqklkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0FhAAbm1jDQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHpKQAC4p6pLZgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBaQAC4tY01BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6CkBAeCeqi6ZJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQGsBAeDWNtYQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgpwQEgHuqumSWAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECrQUEgFvbWEOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGeEhAA7qnqklkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0FhAAbm1jDQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHpKQAC4p6pLZgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBaQAC4tY01BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6CkBAeCeqi6ZJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQGsBAeDWNtYQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgpwQEgHuqumSWAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECrQUEgFvbWEOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGeEhAA7qnqklkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0FhAAbm1jDQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHpKQAC4p6pLZgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBaQAC4tY01BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6CkBAeCeqi6ZJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQGsBAeDWNtYQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgpwQEgHuqumSWAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECrQUEgFvbWEOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGeEpjWU7mVWQIECBAgQIBAjwjsfvTCPZJT2STw5AQO2/HRJ3cAexMgQIAAAQIECBAgQIAAAQIECLRVQA/gtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwICwJ2zd2YCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAi0VUAAuK2cDkaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHOCQgAd87emQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBWAQHgtnI6GAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDonIADcOXtnJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQFsFBIDbyulgBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JyAAHDn7J2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECbRUQAG4rp4MRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgcwLTOnfqwT7z3LlzBxtA6Ql0SOCxxx4bOnPe+39xiMMbAgQIECAwIQHfpRNisxMBAgS6XkD73vVVJINtE1iobUdyIALdLqBt7/YaWnD5W2ghbd+C03YmAp0READujHu54447OnRmpyVAoBZ4+OGHS/4kAgQIECBAYOICrmsnbmdPAgQIdLOA9r2ba0fe2iuwYnsP52gEulhA297FlbOAs7bCCiuUKVOmLOCzOh0BAgtSQAB4QWo3nGvmzJkNn7wlQGBBCTz66KPlgQceqE43ffr0sthiiy2oUzsPAQIECBDoSwHXtX1ZrQpFgACBon33HwEBAgT6T0Db3n91qkQECBBoJSAA3EpmkpfPmDFjks/g8AQIzE9g2rRpxf+L81OyngABAgQIjC7gu3R0H2sJECDQqwLa916tOfkmQIBAawFte2sbawgQINBvAlP7rUDKQ4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBASA+65KFYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUEVEAAe1JpXbgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE+k5AALjvqlSBCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYVAEB4EGteeUmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDvBKb1XYmeKNCtt95a7rzzzjJjxoyy2mqrlenTp0+4mLNnzy7XX399mTVrVll22WXLSiutNOFj2ZEAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKTKdBXAeA//OEP5bDDDis33XTTkFmCv9tuu2153/veN65AcAK/hx9+eDnxxBNL3tdplVVWKXvssUfZbLPN6kVeCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0BUCfRMAPuecc8ree+9dpkyZUrbZZpuy1lprlfvuu6+ccsop5ac//WnVK/gLX/jCmNAff/zxss8++5Tzzz+/LL/88uUVr3hFWXrppcuVV15ZTjvttLLnnnuWHEsQeEycNiJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYAEJ9EUAeM6cOeXggw8uCdzuu+++Zeuttx7i23777cu73/3ukt7BZ5xxRtlyyy2H1rV6c/rpp1fB35VXXrl861vfKksuueTQpgn6HnDAAdX5jjnmmDJtWl8QDpXPGwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEeldgau9m/f9ynuBu5vxde+21hwV/s0WCt+985zurjX/5y1/+306jvDvhhBOqtbvsssuw4G8Wpnfxs5/97HL77beXP/7xj6McxSoCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgsWIG+CABfcMEFldrmm2/eVK8eqvniiy8ujz76aNNt6oWZ7/eSSy4Z0/H+9Kc/1bt5JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQMcF+iIAfN1111WQq6++elPQmTNnlmWWWaYK/t58881Nt6kX3nTTTWXu3LnlqU996jy9f+tt6vNce+219SKvBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6LhAX0xge/fdd1eQT3nKU1qCJgj8z3/+s2TbOoDbbON77rlnvsdKcDipPm/1YZz/PPTQQ+Pcw+YECLRDoHEUgLz3/2I7VB2DAAECBAZZwHfpINe+shMg0M8C2vd+rl1lGy6w2PCPPhHoYwFtex9X7jiLtuiii5YpU6aMcy+bEyDQSwJ9EQCeNWtWZT5jxoyW9mnQkh5++OGW22TFWI41ffr06hjzO9ZoJ/rXv/412mrrCBBYAAKPPPJIyZ9EgAABAgQITFzAde3E7exJgACBbhbQvndz7chbewUEgNvr6WjdLKBt7+baWbB5q+MlC/aszkaAwIIU6IsA8OOPPz5ms/ltO7/1Yz6RDQkQIECAAIGBFthn6xsHuvwKT4AAgX4UuGij9fuxWMpEgACBgRZY9/O3DXT5FZ4AAQIECBDoT4G+CADXT6vMnj27ZS3VvXUXW2z0p/rqXsSjHateV2/b8qSjrFhiiSVGWWsVAQKTJTBnzpyhnv4LL7xwqXv0T9b5HJcAAQIEJl8gD/A9+OCD1YkyhNXiiy8++Sd1BgIECBCYdIH8jp87d251nvyWnzp16qSf0wkIECBAYHIFGkdjyz2Z3JuRCBAgQIAAgfYL9EUAOHP/3nTTTeXee+9tKVTP11vP39tqw3r9aMe66667qt2XXXbZVoeZ7/Ill1xyvtvYgACB9gtkmPd6qPdFFlmk+H+x/caOSIAAgQUt0BgAXmihhbTtC7oCnI8AAQKTJJAgQR0AzkPUaeMlAgQIEOhtgTy4WU/HlQCwhzd7uz7lngABAgS6V6AvHp995jOfWQlfd911TaUTsL3vvvtKgj2rrLJK023qhVmfH5V33nlnuf/+++vFw16vueaa6vMaa6wxbLkPBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6KRAXwSAX/CCF1SG5557blPLevmGG25Ypk0bvdNznjxbb731quOcd955ox5vk002abreQgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRCoC8CwJtvvnl52tOeVi677LJyzjnnDHPMsCI/+MEPqmWvf/3rh6279NJLy8knn1zy2phe97rXVR+POuqooaFi6/Wnnnpqufbaa8tKK61U6sBzvc4rAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEOimw0H5PpE5moB3nzpDNCciefvrp5cwzzywPPPBA9ffnP/+5HHTQQeXmm28uL37xi8suu+wy7HRHHHFEyV/mjcv6Oq2++upVUPjyyy+vAspZf9ttt5UTTjihfOtb3ypTpkwpYVt55ZXrXbwSINAjAnPmzBl6sCPDwqfXv0SAAAECvS+Q67+kqVOnmkes96tTCQgQIFAJPPzww0NzAGeOyLTxEgECBAj0tsCjjz5aZs+eXRUi92Ryb0YiQIAAAQIE2i8w+njI7T/fpB3xJS95SRWU/cpXvlKOPfbYofPkB+K2225bPvShDw0tm9+bBHgPPPDAcvDBB5f0+P3yl788tEt6Gn/sYx8rG2+88dAybwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINANAlOe6N36eDdkpF15yFNk6bl7xx13lMUWW6w897nPLTNnzmx6+HvvvbfkieJst8wyyzTd5q677ipXXHFF1WNwxRVXLGuttdZ85xFueiALCRDoCoFZs2aV/L+flF4ESy21VFfkSyYIECBAYOICuZy9/fbbqwNMmzatLLvsshM/mD0JECBAoGsE7r777vLII49U+VluueVKRv+SCBAgQKC3BTJd33333VcVIvdkcm9GIkCAAAECBNov0Dc9gGuahRdeuKy//vr1x1FfExhuFRyud0yP38bhoevlXgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBtAibQ6bYakR8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhMUEAAeIJwdiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEC3CQgAd1uNyA8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQmKCAAPEE4uxEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDbBASAu61G5IcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQITFBAAniCc3QgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBtAgLA3VYj8kOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEJCggATxDObgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOg2AQHgbqsR+SFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAEBQSAJwhnNwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHSbgABwt9WI/BAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCCAgLAE4SzGwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBLpNQAC422pEfggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDBBAQHgCcLZjQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAt0mIADcbTUiPwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEJiggADwBOHsRoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgW4TEADuthqRHwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECExQQAB4gnB2I0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQLcJCAB3W43IDwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCYoIAA8QTi7ESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoNsEBIC7rUbkhwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAhMUEACeIJzdCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0G0CAsDdViPyQ4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQkKCABPEM5uBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6DYBAeBuqxH5IUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwAQFBIAnCGc3AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdJuAAHC31Yj8ECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYIICAsAThLMbAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEuk1AALjbakR+CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMEEBAeAJwtmNAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC3SYgANxtNSI/BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmKCAAPAE4exGgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBbhMQAO62GpEfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQITFBAAHiCcHYjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAtwkIAHdbjcgPAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEJiggADxBOLsRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECg2wQEgLutRuSHAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECExQQAJ4gnN0IECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQbQICwN1WI/JDgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBCQoIAE8Qzm4ECBAgQIAAAQIECBAg0JI8qwAAMhtJREFUQIAAAQIECBAgQIAAAQIECBDoNgEB4G6rEfkhQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDABAUEgCcIZzcCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0m4AAcLfViPwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgggICwBOEsxsBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgS6TWBat2VIfggQIDCZAtOmTStLLbVUdYqFF154Mk/l2AQIECCwgASmTJky1LZPner5xgXE7jQECBCYdIHFF1+8zJgxozpP2nqJAAECBHpfYJFFFhm6ds97iQABAgQIEJgcgSmPP5Em59COSoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQILUkAXiQWp7VwECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYRAEB4EnEdWgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgsSAEB4AWp7VwECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYRAEB4EnEdWgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgsSAEB4AWp7VwECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYRAEB4EnEdWgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgsSAEB4AWp7VwECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYRAEB4EnEdWgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgsSAEB4AWp7VwECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYRAEB4EnEdWgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgsSIFpC/JkzkWAAAECBAgQIECgFwTmzJlTZs2aVaZNm1ZmzJjRC1mWRwIECAyUwEMPPVQee+yxsuiii5aFFlpoTGV/+OGHy9y5c6t2Pe27RIAAAQLzCkykfa33yXXzZLev9XV62v58B0gECBAgQIBAc4Epjz+Rmq+ylAABAp0RuOWWW8oDDzww5pPPnDmzLLfccmPe3oYECBAYVIGbb765PPjgg2Mu/lOe8pSy7LLLjnn7bt7wrrvuKn/729/KnXfeWR599NHq5v+KK65Y1l577bLEEkvMk/VTTz21HHDAAWXTTTctX/rSl+ZZbwEBAgQIjE0gN+qvuOKKcuONN5YECBZeeOGywgorlOc973llySWXHNtBmmy18847l2uuuaYceuih5fnPf36TLeZdtNtuu5VLL720fOELXygvfOEL593AEgIECPSQQK5p077edNNNVfu6yCKLDLWvza5vx1q0d7zjHeWGG24o3/jGN8o666wzpt3e8573VHk5+OCDyyabbDKmfeqNxnudftppp5X999/fdXoN6JUAAQIECLQQ8MhrCxiLCRDonMBhhx1Wzj777DFn4C1veUvZY489xry9DQkQIDCoAl/96lfLeeedN+bi77DDDiU3y3s5JeDw5S9/uVxwwQVNi5EeCq9+9avLBz7wgbLYYos13abTC/NgVHojr7HGGp3OivMTIEBgzAIJ9h511FHlhBNOKPfff/88+6Xn1kte8pKSoMHKK688z3oLCBAgQKC5QB7oPPLII8uvfvWrpg/Pp33daqutqvZ1pZVWan6QLlg6luv0V73qVWX33Xfv6uv0jC6x5pprdoGoLBAgQIAAgeECAsDDPXwiQKCLBJ7znOdUPbPml6V11113fptYT4AAAQINAs997nPLs5/97IYlzd+O9Yn/5nt3fultt91W3ve+91WBh5QlN5Ce8YxnVL3P/vWvf5WLL764/OIXv6iCE9n2kEMO6Xymm+QgPdVyY+nb3/52k7UWESBAoPsEbr/99vKRj3ykZOSJBCK23HLLsv7665dlllmmas+uuuqqcvrpp5ff/e535dxzz61GXNh88827ryByRIAAgS4TuPXWW6v2Na95kPHf/u3fSu6J1O3rlVdeWbWtv/3tb8sf/vCH8ulPf7rqKdtlxShjvU5PkDvb5oHObkwHHXRQNcLSd77znW7MnjwRIECAwIALCAAP+H8Aik+gmwUyLNuuu+7azVmUNwIECPSkwBZbbFF22mmnnsz7eDL9wx/+sAr+5vvk85//fJkyZcqw3bN8m222qXpH/OlPf6qCEN0WgMj8lhm6etVVVx2Wdx8IECDQrQKzZ88uH//4x6vg7+qrr14+85nPVA/fjMxvHtDJAy6///3vyyc/+cnqIZdnPvOZIzfzmQABAgT+VyAjwnzsYx8rCf5mZJi0r81GUEj7+rnPfa6cddZZZZ999ikJTq622mpd5fijH/1ovtfpL3/5y6vr9Izkk4eFuvE6PUNw5wFTiQABAgQIdKOAAHA31oo8ESAwIYFf//rX5Z577qnmm2k1TGZ+OPz973+vfiw1zktz9913V70Q8rRsflTl6dkNN9ywGpYuT9U2pvPPP79ce+211bxhudDPTas//vGP5b777iuZjziBlW77YdKYf+8JECAwXoFTTjml3HvvvWWzzTYruZnfLCWAevXVV5dnPetZ5QUveMHQJpnTKz0Q0vamfU07Wbev6RXWmDI89XXXXVde9KIXlac//elD7WuGDs18xGlfk4expvQwS9p6663nCf7Wx0h+M6xcAhaZk7JV+stf/lJ9T2QO4cUXX7xssMEGVfB45HdE9k85893w17/+taSn8fTp0yu3l73sZfOcI73jcnMuN+U23njj8tOf/rRcdtllVW+5zOOWm0rp/Zvvt2OOOabK3hvf+MbqmK3yajkBAgQ6KZB27Prrry9LL7101WPrqU99atPsZH7K/fbbr5rKJW1spinIX2N6/PHHq/Y03zH5Lnja055W9XZbb731Sta1SplOJsGCXJ/n+yNDTW+00Uaj7tPqWJYTIECgWwSOPfbYar7fXE+nR2xem6XMr37AAQdU17i5rsw0W1/60peGbZqHDHO9mvb1gQceqNrXl770pVVv4lbta5bnujX3RNK+pn3PCA+5Lm61z7CTNnyor9NzfTzyIc16swyrnOv0XFsvv/zy9eJ5zjXyOj3zwid4/GSv0zMNy5lnnuk6fUjeGwIECBDoNYHhUY1ey738EiBAoEEgQYP09kqQYd99921Y839vc1MpN6TyY6hOp512WtX7ID8qciMqN6v+8Y9/lF/+8pfVPC5f/OIXqx9D9fbnnHNO+fnPf15t+81vfrP6AZQfWAkePPLII9V+6Vn37ne/u97FKwECBHpaIIHdH//4x1Vw9v/9v//XtCy5CXXTTTeVAw88cGh9HsxJG5r2Me3kUkstVTIsaIZdzhDUGTKtMTCQGywZ5i3tcG5UZdi67Jf2+dFHH632y8gQu+yyy9A5Rnuz8MILV6vTpo+W3vSmN7VcnSBs5lhLz4nMEZybWwnInnzyydXweilDY8p30F577VXuuOOOkn2XW265Kggcixzjwx/+cHnd6143tEsCwIcffnh18ywPEyVwkpSbXJkXLQGMpBwv2yW98pWvFACuJPxDgEA3CqSNT3r7298+rI1vltc8CJQ52N/73veWP//5z1W7V/ekmjNnTnVNn2BD0oorrlguvfTSqp1817ve1exwVRud4U5PPfXUan3a0rlz55af/exn5W1ve1vTfSwkQIBALwjkGjT3KJJ23HHHlsHfuiwJfu62225VG5uAbXoN1/MBp31Nz+Bcayc1tq/pPdwsJWC8//77Vw9EZn0enMxxjj/++AmNLFRfp+cad7SUBx9bpRxjftfpjcHl8V6n57dNrr/zEFEC5ccdd1yVlVzf5xq+9ssDoq7TW9WS5QQIECDQSQEB4E7qOzcBAm0VyBOeCQDnif8EG9LjqjFdc801VfA3wYT0IktKz6rcJMrNpwSN8/Tp1KlTqydgEyxOr7dPfepT1cV8/cOh7rGWnljpKZyhi1ZZZZXqx09u3H/961+v8vHWt761Clw05sF7AgQI9KLAK17xiioAnJvwCcTWN2zqsmT0hNwgSeA2wyon5Sb9Zz/72erJ+/TwSo+CtKPpwZVgcW7OZ/mhhx5aH6Zqi/PhBz/4QRU0SC+H9ATOzaUEoP/7v/+7HH300WW77bareuEO7djiTUZ6SI+A73//+9VNspSjWU+AZrvXvRgS/E4PhbTt6XGWlKBsbprlNQGL9GhOeuihh8onPvGJkl7P+Q5IgCLfRTnWGWecUd00O/jgg0uGOK3nr6/zkxtHOVbmzHzOc55TfX8kcJGbTXvvvXcVMK+tFl100ep8/iFAgEC3CeSGeB70Scq8lGNJmZc+wYfM8ZjReuoA8AknnFA9aJkHhfK9UY9Akd5saYPzcNDIlIdt8v2S76O0t2lPk/I9lX0efPDBkbv4TIAAgZ4QuOGGG6przGR2rO1rrl2XXXbZkuvMtK+vfe1rq7LmgfYEL7PukEMOqXq4ZkWum3NfJA87jkx5+DFzt+ceSNrk9M5NylQlaV9zHTyelOv0Sy65ZELX6fV5co8nQd08OJp55pMyolAeWM1rrq0z+kNS43X69ttvXz2w33idnk4C6SXd7Do91/YXXXTRPNfpMc2Dn3mw1XV6xewfAgQIEOgygaldlh/ZIUCAwJBAemzlB8hof/mxUadcqGcoz/xYyROuI1PdEyBB3vTKSjriiCNKnmRNb7LMA5ngb1J6Au+5555V4CFDeF544YXV8vxTB4AzHGfmlEzwNyk38XPDPz+i0tOgMW/VBv4hQIBAlwiMpX3NzfI6pW1d7YkhijM8XHqpjkx1+5p2tA5o1u1rgqCNQ7vlIZzclMnN/osvvrj6q49Xt6///Oc/q+Bxgr9JOWZ6bmWYuwSg6yHj6v1avaZNTqA1DwWlvU7P29zUSk+F3CxK+98q1Q/9JCCRG0J18DfbZ5j/eqj/BCLqdOKJJ1Y35hLMSI+2+kGkHGurrbYqb37zm6tgcD2Uc/ary3z55ZeX9LhIL4fnPe95VQAk+9fHyPdTeiDnr85bfV6vBAgQ6BaBBCiSci092rD6I/Obm+dJ9f55nwBwUkbVqYO/+Zw28oMf/GDTYG69T0bjqYO/2Sfv//M//7P6HstniQABAr0mkJFhkhKAzXD4Y03N2te6J/F73vOeoeBvjpfr3VyPNgvm1u1r7p3Uwd/ss9Zaa1Uj3OR3wnhSgrATvU6vz1Nfp9fB3yzPdDH1dXqur+vUeJ2eYaXra+zG6/Rs23idXv+uyXEyUkWr6/Qcw3V6Le2VAAECBLpJQA/gbqoNeSFAYJjASSedVPI3WsqNpXoYnmyX3l25qZ8nUzNMT2PKHJRJr3rVq6rXBATSs6pxWfXhf//JxX5u2KdXcQIejXNaZpP8qMhwpiNTAhZ5wjbzPkoECBDoRoHcwKlv4rTK38orrzzsBkiGHU4P3N/97ndDoyhk3/RuTZubVLevuWmUJ+4bl1Uf/veftK9po9OrN+1r5ulqTBmlIYHixpQbK8lT5iLOnGNjSbmx87Wvfa0atj8jNGTou+Q/f0kJUOQmUQLDI/NQHz890RLQHZnqIfQa81I/fJSAd7OUMqdXc+NDRfV2CfBmrmKJAAECvSxQBwCaXSOPVq4ENJIySkRSeuqmZ1fSpptuWr02/pO54vMATR66rFNGi6hv9jebLz69zTKCQrOebfUxvBIgQKBbBer28cm2r7l2rR+2adZW5no1o/jUo+HEI/dO6gfcm+2TeyN5yD5TYo01PZnr9PphyFbX6fVDpI33ZMZynZ7gb67TU/b6HClPrtPzoKtEgAABAgR6TUAAuNdqTH4JDJBAngZt7HHVrOgjAwS5eZ65VzJPb+Mw0OnFm+HoVl111aEb+bfcckt10ygX8/XcLSPPkaF+kuofSI3r03utWaqHRm38wdRsO8sIECDQKYE8Jb/OOuuMevr6Zny9UW561POe5+ZOPZJChm7LQy8ZhaHuYZAhQNO7NoHezOvbLN19993V4uufmJd9ZGrVvtZP4Y/Wc3fksbLPW97yluovwYTkN8NTZ3SJzDmWeeDzl2kEMtRyfY76OK16sDVr6+ueGfXwpfUx6td6xIgEyBPITo/mOmW45/QckAgQINDLAvWoBgnGjifV29f7p1dXUtraZj3dEjjIHIz1dtk2bXodEG72PZJj5+GdOrCcfSQCBAj0ikDdPtbt5VjzXW9f71+3m3kgZuT1fo6Z69G0u7m+r1NGD8r1d4Kiza6Nc/2cdrfZfZP6GM1ex3qdnt8hGUFo5HV6rp+bpXq7xnsyma4maSzX6RmNyHV6M1nLCBAgQKDXBASAe63G5JfAAAmkx+2uu+46rhJnjrCNN964GgI6Qd16bpzc3E+qe6flfT0HWH7IfPGLX8yilqmxh1e9UQLHEgECBHpRIL2gMjzmeFJutG+wwQZVz948Qf/iF7+42n209jU3nObXvta9GRrzMlnt6xprrFHyl+HbkhKw/dnPflb9/eY3v6keEhrp0vj0f2Mem72ve761CuQ2Lk8PtMYbS43rmh3bMgIECPSCQK7Fk/KQT74D6pvw88t7grdJdbC37qU7Y8aMlruOnA+93idBjvohnZE7j9xn5HqfCRAg0K0CdfuYh9TzsEsd0J1ffuv2NVNVJdXDO0+kfc0DoK2u059s+9rsOj1zFWfqlkw3s9oT09GMvE5vlZdm1+/juU6PUeN1+pMt2/zqyHoCBAgQIDBZAgLAkyXruAQIdEwgvbgSnMiQpAkA58dR3udHQIaIrlPdey0/fL7xjW/Ui5u+jvbjqOkOFhIgQKAPBdKGZmjntKkJAOfm/u9///vqBlTa3jrV7eviiy9eDjvssHpx09dO3lBJD4APf/jD1XDT3//+98uvf/3reW4sNc10i4X1jbi6B9rIzeoeGFleb9vsBtXI/XwmQIBArwhkzvjckE87mDnSG+dlbFWGtI1XXHFFtXrttdeuXuu2sVV7mo0yJ3xjqvcZbZSIkfs07u89AQIEulkg7WtSRuLJcMyZD31+KW1ePXRzPS963VZOpH0dzz7zy9v81uc6/UMf+lB1nf69732vnHLKKU/qOr0OFrcqQ+N1+siHl2qz+eXZegIECBAg0G0Cuq91W43IDwECT1ogc9YkoJAewOkJkGBFhtpMz+D6qdmcpH4CdtasWSVzxKy55pot/zLvpESAAIFBF9hqq62qoZ/rYfYzj3rm1sr8jE95ylOGeOr2NU/P5+bNaO1rPUfX0M5tepMh3zIU9dVXXz3fI+b7Iakelnq+O7TYoP6OqacPGLlZffzcgGr0GrmdzwQIEOhVgcytntEikn7xi1+MqRhnnXVWSc+sXL/X7fHSSy9d7ZvvkWZzSqaNbxyeNBvX+2Rd47yPjZnIMKYSAQIEelEgbVz9UE16xo4l5UHN3BPJQ5kZYS2pbivT7jYGPevjJUA68lq23ifb1yOp1dvXr3VP4/rzaK/juU6v811fR4923NHW1b9PRn531PvUx3edXot4JUCAAIF+EBAA7odaVAYCBIYJpLdugsC5WZTgRLPhSbNDbr5nHrCkBImbpfwIqIdIarbeMgIECAySQIYpTs/f+uGa3/72t1XxG4fXz4IMF52/3Ny56KKLmhLlxtJktq8Z2nmHHXao5gtrFjxozFQ9J1h9Y6hx3Xje1z0xLr744qa7Zd7hpPTgaDU8adMdLSRAgEAPCaTtTco1eB4YGi1lnsWvf/3r1SZvetObqiBwPmQuyXo0ib///e/zHCI9hvMQZ2PK8NNLLrlkteiqq65qXFW9z5zzOZ9EgACBXhWo29eMWnPeeeeNWox77rlnaKSzt7zlLSVzpyfl4cv0cM1oCc3mRM/oDSNHS8g1cj1dSbP2NcdpNq1LqwwmgJ2y7L333k0f8mncr75Oz2+LJ5Pmd51+ySWXVId3nf5klO1LgAABAt0mIADcbTUiPwQItEXgla98ZXWc9ALOX554reerbDzBv//7v1cfv/3tb88TiEhgYs899yyvfvWrS33TvnFf7wkQIDCIAnX7evbZZ1fta262b7HFFvNQNLav9byM9UZpXz/xiU+U17zmNdUQofXydr5us802Zamlliq33XZb2X///UuzudxzvgQRvvWtb1Wnrss20XzUZc5NufQ+bkwxOPbYY6tFKfdYUz1cXT1v2Vj3sx0BAgQ6JZBRIXL9nPSpT32q/OQnP5knmJB1udm+2267lfTKzUgRO++8cxZXKcGJujfwj3/843px9Zread/97neHLas/bLbZZtXbnDMPIdUp77/zne/UH70SIECgJwVyzV1Pa7XPPvtU8+M268WbBzDTvqa3a4Z+fsc73jFU3jxcs9FGG1WfR7avOdYRRxwxtG39JtejaduT0r42pgSScz9lPKm+Tr/99tvLfvvtN6br9Lrc4zlP47b19fdvfvObea7T80BRfZ1ef3817tvqvev0VjKWEyBAgEC3CJgDuFtqQj4IEJhHIL236t5l86wcsSBzNzb2ptpwww2r4Z5zcZ+nV1/72tcOPfHauOv2229fEsS4/PLLyy677FIFI9J7IDeiMsdMAge5kbTuuus27uY9AQIEelogN24SpBxLOvroo6v5HOttMwzbzJkzy8knn1y1r294wxuGtb/1dm9729uqAHHmHdt1112r9jX7pX096aSTqtcXvehFY5q/rD7meF4T/P3MZz5T9Sw488wzq14SGZZ0lVVWqfKb4evSg6GeFy031PKd8GTSWmutVbbbbrvqxtj73//+Epv0sshoEinzDTfcUN1w23bbbcd8mnoKggSUP/3pT1ejV+QGWIIlEgECBLpV4OMf/3g11/mvfvWrcuihh5YjjzyyrLPOOtX3R260p/2te3VlSNO0b3XvtLpM73znO6u2+3e/+1356Ec/WjbZZJMye/bscsYZZ1TfPwlqXHnllcMCvTvuuGO1Pj3j9thjj+oBpfwWyPV+ev+ut9561YOdjcHh+nxeCRAg0AsCe+21V9W+5tryK1/5Ssn8uGlfl1lmmWqUnoyaULevufZt1r7mgZsLLrignHrqqVXwNQ/cpG1Oe5uUXrA5TuOc6jvttFPVlqY9zdy8m2++edUW5zo7DyomD3/961+H7dPKMw+Q1tfpmQbg/PPPr6YPGO06/a1vfWurw41pea7Tc62foHer6/TcR8q9o7GmeiqbW265pRxwwAEl95Je/vKXV35jPYbtCBAgQIDAZAoIAE+mrmMTIDAhgQzhnOGFcrNm5NwzrQ448iZOnsTMkKTHH398daN/5PCk9XHy9OtXv/rV6kfTiSeeOOzJ1Vy8J2iRp2WnTJlS71INR5f8NQach1Y+8abOf3ouSAQIEOgmgbp9Gk/7OjL/advSpmZux7SDrZ6Sz438r33ta1UvgrSv3/zmN4cOlbly3/Wud5W3v/3tQ8vyJm1yO9vX3PQ66qijyjHHHFNycyo3l/JXp5Tl+c9/fnWjZ+uttx7W1mdd8hKzZillz/rkuTF98IMfrILMP/rRj6rvlnpdgt8JZuTmWeP3Q76vcpzMfdksLb/88tU+P/jBD0oeasr2ueEmESBAoJsF0s5lpIf08jruuOOqaVkyKk+dFlpooZbtb73N2muvXT7/+c9XAY5M65K/pASCc+x8xyTIkR7BdVp99dXLl770pXLIIYeUDMdfD8mf74MsS6Akc8M37lPv65UAAQK9IJD2NUMn54HAPNR54YUXDhtuP+tzffv617++vPSlLx12fVuXL8Haz372s9W9kPr6OPc80r5mFLS0owlqNraVefjwoIMOqtrSTKFVT6OV3sQJfmZEnWuvvXbYPvX5mr224zp95IND9XlaXafvvvvuJQ9X5rdBvg/qlOB5s+v0fFeN9nug8To9wfRcp9cjUdTH9kqAAAECBDopMOWJoMn/jYvUyZw4NwECBDoskObwjjvuqIaCXmKJJcqTnQuyw8VxegIECHSNQHoPZAi6DP2cJ/4TAO5ESu+EzIeWm1kJuCYfjcHYducpPX8z9HSmIch3SuPDROM9V+wyt1oCySODzuM9lu0JECCwoAUavwdywz5tYquHKZvlrb5Gb5znt9l2jcvyIGnazbT19dzAjeu9J0CAQD8ItKt9TVuZ+yBjSbmuz3V1O9tX1+ljkbcNAQIECBAYn4AA8Pi8bE2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGuFZjatTmTMQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYl4AA8Li4bEyAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHuFRAA7t66kTMCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMS0AAeFxcNiZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgED3CggAd2/dyBkBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTGJSAAPC4uGxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKB7BQSAu7du5IwAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLjEhAAHheXjQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINC9AgLA3Vs3ckaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFxCQgAj4vLxgQIECBAgAABAgQIEBhd4N577y1LLLFE9XfggQeOvnEPrt15552rsq266qo9mHtZJkCAAAECBAgQIECAAAEC/S8wrf+LqIQECBAgQIAAAQIECPSDwOOPP15WW221CRflu9/9btl6660nvP9Yd0w+H3zwwWrzRx55ZKy79cx2s2fPrso3Y8aMnsmzjBIgQIAAAQIECBAgQIAAgUESEAAepNpWVgIECBAgQIAAAQI9LJDA6o033jjhEjz88MMT3nfkjrfcckv56Ec/Wrbccsuy2267DVu96KKLlk996lPVsqzvxXTAAQeUyy67rBx11FFl+vTpw4rwxje+sTzrWc8qiy222LDlPhAgQIAAAQIECBAgQIAAAQLdITDliZsoj3dHVuSCAAECBAgQIECAAAECrQUee+yxstBCC1UbrLvuumWvvfZqvXGTNQnGPv3pT2+yZvyLjj322LLDDjuUnXbaqRx55JHjP0CX7/G0pz2t3H333eWBBx4oiy++eJfnVvYIECBAgAABAgQIECBAgACBRgE9gBs1vCdAgAABAgQIECBAoCcEVlhhhfK2t72tY3k977zzOnbuyT7x3//+9yr4O9nncXwCBAgQIECAAAECBAgQIEBgcgQEgCfH1VEJECBAgAABAgQIEOgRgfvvv78koHv99deXhx56qBraePXVVy+bbbZZWWKJJYaVIsHRbH/mmWdWy++5557y5z//uXq/0korlQSm586dWy655JJq2YorrljyV6ebb7653HHHHWWRRRYp66yzTrX4hhtuKKeeemq1fJlllikvetGLynrrrVfvUr3mvKeffnoVmJ05c2Y19PRzn/vcYduM/JDBni666KLq784776xWL7fccmWTTTYZOnfjPv/85z/LtddeW379618PLb744otLhrReeOGFS3pdJ1133XXl3nvvLdOmTZsnn0M7PvEm5Tr33HPLrbfeWjIX8rLLLls23HDDssEGGzRuNuz95ZdfXmbNmlXSA/kZz3hGtS71krL/4x//KJl3eO211y4vfelLK8NhO/tAgAABAgQIECBAgAABAgQIVAKGgPYfAgECBAgQIECAAAECPSHQOAT0NttsU37zm988qXxnTuBPfOIT5Tvf+U4VdBx5sAQ+3/ve95bPfe5zVeAx61/2spdVwciR2+bz/vvvX/bdd9+SoPBTn/rUapN8zvI67bnnnuWggw4qyy+/fLn99turuYJz/ASNG9POO+9cvvvd75Y5c+aU973vfeX73/9+GTl7z/vf//5y+OGHN+429D5B3D322KNcddVVQ8sa32y66able9/7XhVMrZf/7Gc/K29605vqj8Ne6/xmYYa+zhDYKeNdd901bLt8uOaaa8oHP/jBcsopp8yT56xPAPfQQw+tLPO5MSVAnKD1jjvuWNXL7rvvXr2OLPsqq6xSjj/++LLxxhs37u49AQIECBAgQIAAAQIECBAg8ISAHsD+MyBAgAABAgQIECBAYCAF3vzmN5eTTjqpKnsCovlbaqmlql62Z5xxRklv1K985StVz+Cf//zn1XYvfvGLy9JLL11+9atfVcHZ9FLdaKONqnUJbM4vpedvUubWTfD2wAMPLK985SurXrGZczdBzQRVE/B94QtfWPWgPeqoo8prX/va8rznPa+kJ+9xxx1X0lv3G9/4RtVbeORQ2AmMv+Y1r6mCyunB/PrXv76sueaaJQH0Cy+8sJx88snl/PPPr3oRp6dy3UM5PZjf8IY3lMsuu2wocJzzZt7l9EweS/rb3/5WXvKSl1T5TA/h173udVWP4/QgvuKKK8qPf/zj6vUVr3hFVdasb0y1T3pZv/vd7y5HH310SbA/geFHH320nHXWWeWPf/xjuemmm6pyXX311VUP5cZjeE+AAAECBAgQIECAAAECBAZdQA/gQf8vQPkJECBAgAABAgQI9IhAO3sA/+lPf6oCkyn6Zz/72bL33nvPo5Dl++yzT7X8nHPOqQKy9UYJFCdIudNOO5UjjzyyXly9jtYD+IADDij/9V//VaZOnVoFVdPLNwHaOmV45QR60zs5gdkcKz1pt9pqq3qTKoC6/vrrVwHRBI8T0G1MWfeXv/ylGr46w1M/61nPalxdfvKTn5Ttt9++WvbhD3+4fPnLXx62fq+99ipf+MIXqmUJVC+++OLD1o/WAzjDZie4nKGaE4hOwLwx3XjjjZXjLbfcUvUgzpDTsaxTtj/77LOrdRkK+n/+53+GlT3b/cd//Ec54ogjql1++tOftuy1XB/TKwECBAgQIECAAAECBAgQGDSBqYNWYOUlQIAAAQIECBAgQKD3BRKY/Otf/zrmv/SubUyZ27ZOGW64WUpQ+KMf/WjVS7cxSNls27EuS+A3KcHs9H5tDP5meeYefvnLX5635bbbbisf+MAH5gmApqdxHVit5xqudnjin/vuu6/qofzsZz+7GkZ5ZPA322233XblOc95TrVL5h5uV8q8yAn+JsWtzmPj8dNjOoH1pNTJD3/4w8bVVWC8XveZz3xmnrJn3Uc+8pGhfdKjWSJAgAABAgQIECBAgAABAgSGCxgCeriHTwQIECBAgAABAgQI9IDAueeeW9Zdd90x5/SQQw4ZFjishxrOAdIbeOWVV57nWFOmTCkHH3zwPMvbteCtb31r00M985nPHFqeYG2ztMYaa1RzEY8MbCdQnUDs/NJaa61VrrzyynLrrbfOb9Mxr09v3Tq1Cqpn/Rvf+May6667VkNUZ67izGU8MiVQnnmQm6XkPXWTeYEzJLZEgAABAgQIECBAgAABAgQIDBfQA3i4h08ECBAgQIAAAQIECAyAQOaVXXTRRauSvv3tb6+Ges6cvwsyJZDZLC222GJDi9OTt1mq8z537txmq4ctmzNnTjWvcIK9N9xwQ7nmmmvK7Nmzq23SE7ldqe6NnPzXPYybHTvzEmdO4qTMN9wsrbrqqi3nHc7cwplTOCllkwgQIECAAAECBAgQIECAAIHhAnoAD/fwiQABAgQIECBAgACBHhB42cteVs0PO9as1gHDevuVVlqpfO9736vm8M18uxmWOH+Zd3errbaqhmHedtttq7lo633a8Zqeq3VqDPTWy0a+1oHekcsbjzNyXT6nV/Phhx9e9Qa+/vrrqyGnm23XzmUZsjpp+eWXr3rojnbsbJMeyP/4xz+abjZy3uGRG82v/CO395kAAQIECBAgQIAAAQIECAySgADwINW2shIgQIAAAQIECBDoE4EMETxjxownVZrtt9++bLDBBuWLX/xiOf7448u9995bzbt7zDHHlPxNnz69Gob4c5/7XJk5c+aTOteC3DmB7E9+8pPVEMk579Of/vRqbuEMD51AeP7OO++8cvPNN7c1Ww899FB1vLjNL9XbzJo1a9imArvDOHwgQIAAAQIECBAgQIAAAQITEjAE9ITY7ESAAAECBAgQIECAQD8IZIjlb3/72+WOO+4oZ599dtl3333LZpttVhJgzjDJ3/zmN8sLX/jCcv/99/dEcU877bRqOOvMj7vOOuuUCy64oAr0nnXWWeXEE08sv/jFL8pxxx1XlbHdBarnVX7kkUfme+h6mycbxJ/viWxAgAABAgQIECBAgAABAgQGUEAAeAArXZEJECBAgAABAgQIEBgukHllt9hii7L//vuXc889t5ord7vttqs2+tvf/lYOPfTQ4Tt06acEs5MSwD7hhBPKRhtt1DSnkxHQXmGFFapztRrWuTEj9Tb1Po3rvCdAgAABAgQIECBAgAABAgSenIAA8JPzszcBAgQIECBAgAABAn0osPLKK5cf/ehHZdVVV61Kd+aZZ/ZEKTOvbtKaa65ZDfvcLNMZdjlDQLc7rbfeetUhH3zwwXLVVVe1PHzWX3311dX6ddddt+V2VhAgQIAAAQIECBAgQIAAAQITExAAnpibvQgQIECAAAECBAgQ6GGBr371q2WnnXYqJ510UstSLLTQQmXFFVes1mdI5cZUf65fG9d18n09h+5o+Tr44IPLv/71ryqbjz322KjZHe04I3d8zWteM7Qocyi3Sj//+c/LnDlzqtWvfvWrW21mOQECBAgQIECAAAECBAgQIDBBAQHgCcLZjQABAgQIECBAgACB3hXIPLhHH310+dCHPlRuv/32pgX5y1/+Ui688MJq3aabbjpsm+nTp1efr7vuumHLO/1h7bXXrrKQHraXXnrpPNk54ogjyn777Tc0NPQDDzwwz/zGddmy83jKt/XWW5f111+/OmeCzJdddtk857/tttuqOYqzIsH1HXbYYZ5tLCBAgAABAgQIECBAgAABAv+/vTt2yWqN4wD+KzRKRGioJQwh1Kglh4YiTYRwCl3CtYZoamloKZqCoKE/IIIa01ER3FzSSSRBRBQlKBclCIdAJLj398ArlsWlK7cL53zO8vq+5zzPe36f3yTf93kOgcMJNB1uuNEECBAgQIAAAQIECBD48wLT09Nx8uTJ3/riM2fOxOLiYhnz7NmzGBgYKFsRnz9/Pm7duhW5hXFra2sJRBcWFmJ0dDR2d3cjn1N7//79777r4sWLkdtCv3v3LkZGRsp2yzn28ePH3133p9/cuXMncvVtrtzNQDYD7tzGOkPuXHk7MzMTDx48iHPnzpVwO6/La4aHh+PKlStx6tSpuHDhwt5tp8vQ0FB8+fKlBLdnz57dO/fjH7n6+PXr19HX11cMc767d+/G5cuXy6UZqL969Sq2traiubk53rx5Ey0tLT9O4z0BAgQIECBAgAABAgQIECBwSAEB8CEBDSdAgAABAgQIECBA4M8L5BbCGUr+zpEBbePo7e2NycnJuHfvXnz48KEEk41z+18zzMzQMoPR/cejR49idna2bGU8NjZWTl2/fv1/D4Bv3LgRT58+jSdPnsTm5ubeatu8waampnj48GFk+J1bQOfrp0+fSmibwW2G2VlnhsGXLl2K9+/fRz5T+Pnz56W+DIr/6ejp6SnB+O3btyMD3xcvXhwY0t3dHS9fvixB8YGTPiBAgAABAgQIECBAgAABAgQOLXDk7198f/8wq0NPaQICBAgQIECAAAECBAj8NwITExP/euITJ06UVbH7J/j27VsJPufm5mJjYyN2dnbKqtSOjo7o7++PXOn7q2NpaSnGx8fLatfTp0/H1atXy2rXXDU8NTVVhnV1dUUGno1jdXU1lpeXy9vBwcE4duxY49Tea4auKysr5X0+V/fo0YNP7sntldfX18u5/c/ebUySc+S9ffz4MfJZxp2dnXHz5s1ob29vXBKfP38u12xvb0fef87T1tZWzn/9+jXevn0ba2trxSPryPHHjx+P+fn5YpX3njX87Mh/MzMgz1A5XXN1cG75nEbXrl37aU05T47J+8r7yED9V0c+uzl7lyuSG9tO/+panxMgQIAAAQIECBAgQIAAgboJCIDr1nH1EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQWYGDPyWvbKkKI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQLUFBMDV7q/qCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCokYAAuEbNVioBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAtUWEABXu7+qI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgRgIC4Bo1W6kECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRbQABc7f6qjgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBGgkIgGvUbKUSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBtAQFwtfurOgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEaiQgAK5Rs5VKgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEC1BQTA1e6v6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJGAALhGzVYqAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLVFhAAV7u/qiNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEYCAuAaNVupBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUW0AAXO3+qo4AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRoJCIBr1GylEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQbQEBcLX7qzoCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBGokIACuUbOVSoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAtQUEwNXur+oIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKiRgAC4Rs1WKgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC1Rb4C5HZxj8wzh7PAAAAAElFTkSuQmCC width960 />As can be seen in the bar graph above, the weight of em>SPY/em> alsodiffers greatly among CAPM portfolios. While the weight is generally alittle higher when compared to the mean-variance optimized portfolios,the same tendencies can be observed. The odd portfolio with shortselling has the highest weight of em>SPY/em>, while the even portfoliowithout short selling has a weight of virtually zero. Possible reasonsfor this are explained under 3.3.2./p>h3 idshrinkage-portfolios>5. Shrinkage portfolios/h3>p>Upon embarking on the journey through Section 5, we’re introduced tothe intriguing concept of ‘Shrinkage Portfolios’. This segment embracesthe principle of shrinkage in our portfolio creation process. Shrinkage,an approach favored far and wide, provides a valuable antidote to theproblems triggered by data overfitting. Overfitting is a pervasivepitfall in portfolio optimization; an optimal portfolio crafted fromhistorical returns may falter when faced with fresh, unseen data due toan excessive dependence on the nuances of past data. Shrinkage comes tothe rescue here, as it essentially ‘shrinks’ or nudges the estimates ofexpected returns towards a more cautious estimate, in this scenario, theCAPM implied returns. Shrinkage implementation invites a new variableinto the equation—kappa (κ). This value, a number between 0 and 1, is ameasure of the shrinkage degree. A kappa of 0 implies no shrinkage; theportfolio is optimized based on historical mean returns. A kappa of 1signals full shrinkage, meaning that the portfolio is optimized solelybased on the CAPM implied returns. Intermediate kappa values represent amix of the historical mean and the CAPM implied returns, thus infusingan element of adaptability and authority over the shrinkage degree. Ourjourney into shrinkage portfolio creation starts with specifying asequence of kappa values. For each kappa, we calculate the shrinkageestimators by weighing the historical means and the CAPM implied returnsby (1 - kappa) and kappa, respectively. Subsequently, we reconfigure ourportfolios using these shrinkage estimators.Echoing the modus operandiof previous sections, we first assemble the portfolios excluding shortselling. This process involves solving the quadratic programmingconundrum with the constraints that all weights add up to one, and noneof the weights dip into negative territory. Thereafter, we estimate theexpected return and volatility for each of these portfolios under theirrespective out-of-sample scenarios. Next, we allow for short selling andreorganize the portfolios, thus establishing the “short selling allowed”versions of the shrinkage portfolios. Again, we calculate theout-of-sample expected return and volatility for these portfolios. TheSharpe ratios, both for portfolios that include and exclude shortselling constraints, are then computed for each kappa value. Theseratios gauge the risk-adjusted returns of the portfolios. We consolidateall these findings into a data frame for each kappa value, crafting apanoramic view of the performance of the shrinkage portfolios acrossvarying shrinkage levels. The standout difference between shrinkageportfolios and those crafted through mean-variance or CAPM optimizationresides in the adaptability of shrinkage portfolios. They effectivelytackle the overfitting issue, a potential inherent shortcoming of theother two methods. This can potentially birth a more resilient andefficient portfolio, delivering superior out-of-sample performance.However, a word of caution: like the other methods, shrinkage portfoliosalso hinge on historical data and turn a blind eye to transaction costsor taxes, factors that could notably alter the performance of real-worldportfolios./p>div classsourceCode idcb10>pre classsourceCode r>code classsourceCode r>span idcb10-1>a href#cb10-1 aria-hiddentrue tabindex-1>/a>span classco># Set a range of kappa values to test/span>/span>span idcb10-2>a href#cb10-2 aria-hiddentrue tabindex-1>/a>kappa_values span classot><-/span> span classfu>seq/span>(span classdv>0/span>, span classdv>1/span>, span classat>by /span> span classfl>0.1/span>)/span>span idcb10-3>a href#cb10-3 aria-hiddentrue tabindex-1>/a>/span>span idcb10-4>a href#cb10-4 aria-hiddentrue tabindex-1>/a>span classco># Create a data frame to store the cross-validation results/span>/span>span idcb10-5>a href#cb10-5 aria-hiddentrue tabindex-1>/a>cross_val_results span classot><-/span> span classfu>data.frame/span>(span classat>kappa /span> span classfu>double/span>(), span classat>Odd /span> span classfu>double/span>(), span classat>Even /span> span classfu>double/span>(),/span>span idcb10-6>a href#cb10-6 aria-hiddentrue tabindex-1>/a>    span classat>Odd_Short /span> span classfu>double/span>(), span classat>Even_Short /span> span classfu>double/span>())/span>span idcb10-7>a href#cb10-7 aria-hiddentrue tabindex-1>/a>/span>span idcb10-8>a href#cb10-8 aria-hiddentrue tabindex-1>/a>span classcf>for/span> (kappa span classcf>in/span> kappa_values) {/span>span idcb10-9>a href#cb10-9 aria-hiddentrue tabindex-1>/a>/span>span idcb10-10>a href#cb10-10 aria-hiddentrue tabindex-1>/a>    span classco># Compute shrinkage estimators/span>/span>span idcb10-11>a href#cb10-11 aria-hiddentrue tabindex-1>/a>    mu_odd_shrink span classot><-/span> kappa span classsc>*/span> capm_mu_odd span classsc>+/span> (span classdv>1/span> span classsc>-/span> kappa) span classsc>*/span> mu_odd/span>span idcb10-12>a href#cb10-12 aria-hiddentrue tabindex-1>/a>    mu_even_shrink span classot><-/span> kappa span classsc>*/span> capm_mu_even span classsc>+/span> (span classdv>1/span> span classsc>-/span> kappa) span classsc>*/span> mu_even/span>span idcb10-13>a href#cb10-13 aria-hiddentrue tabindex-1>/a>/span>span idcb10-14>a href#cb10-14 aria-hiddentrue tabindex-1>/a>    span classco># Re-optimize the portfolios using the shrinkage estimates/span>/span>span idcb10-15>a href#cb10-15 aria-hiddentrue tabindex-1>/a>    shrink_noshort_odd span classot>/span> span classfu>solve.QP/span>(sigma_odd span classsc>*/span> gamma, mu_odd_shrink, span classat>Amat /span> A, span classat>bvec /span> b,/span>span idcb10-16>a href#cb10-16 aria-hiddentrue tabindex-1>/a>        span classat>meq /span> span classdv>1/span>)/span>span idcb10-17>a href#cb10-17 aria-hiddentrue tabindex-1>/a>    shrink_w_odd span classot><-/span> shrink_noshort_oddspan classsc>$/span>solution/span>span idcb10-18>a href#cb10-18 aria-hiddentrue tabindex-1>/a>/span>span idcb10-19>a href#cb10-19 aria-hiddentrue tabindex-1>/a>    shrink_noshort_even span classot>/span> span classfu>solve.QP/span>(sigma_even span classsc>*/span> gamma, mu_even_shrink, span classat>Amat /span> A,/span>span idcb10-20>a href#cb10-20 aria-hiddentrue tabindex-1>/a>        span classat>bvec /span> b, span classat>meq /span> span classdv>1/span>)/span>span idcb10-21>a href#cb10-21 aria-hiddentrue tabindex-1>/a>    shrink_w_even span classot><-/span> shrink_noshort_evenspan classsc>$/span>solution/span>span idcb10-22>a href#cb10-22 aria-hiddentrue tabindex-1>/a>/span>span idcb10-23>a href#cb10-23 aria-hiddentrue tabindex-1>/a>    span classco># Re-optimize the portfolios using the shrinkage estimates w/ short selling/span>/span>span idcb10-24>a href#cb10-24 aria-hiddentrue tabindex-1>/a>    shrink_short_odd span classot>/span> span classfu>solve.QP/span>(sigma_odd span classsc>*/span> gamma, mu_odd_shrink, span classat>Amat /span> A_short,/span>span idcb10-25>a href#cb10-25 aria-hiddentrue tabindex-1>/a>        span classat>bvec /span> b_short, span classat>meq /span> span classdv>1/span>)/span>span idcb10-26>a href#cb10-26 aria-hiddentrue tabindex-1>/a>    shrink_w_odd_short span classot><-/span> shrink_short_oddspan classsc>$/span>solution/span>span idcb10-27>a href#cb10-27 aria-hiddentrue tabindex-1>/a>/span>span idcb10-28>a href#cb10-28 aria-hiddentrue tabindex-1>/a>    shrink_short_even span classot>/span> span classfu>solve.QP/span>(sigma_even span classsc>*/span> gamma, mu_even_shrink, span classat>Amat /span> A_short,/span>span idcb10-29>a href#cb10-29 aria-hiddentrue tabindex-1>/a>        span classat>bvec /span> b_short, span classat>meq /span> span classdv>1/span>)/span>span idcb10-30>a href#cb10-30 aria-hiddentrue tabindex-1>/a>    shrink_w_even_short span classot><-/span> shrink_short_evenspan classsc>$/span>solution/span>span idcb10-31>a href#cb10-31 aria-hiddentrue tabindex-1>/a>/span>span idcb10-32>a href#cb10-32 aria-hiddentrue tabindex-1>/a>    span classco># Compute the out-of-sample Sharpe ratios without shorting/span>/span>span idcb10-33>a href#cb10-33 aria-hiddentrue tabindex-1>/a>    sharpe_odd_oos span classot><-/span> (span classfu>as.numeric/span>(shrink_w_odd span classsc>%*%/span> mu_even) span classsc>-/span> risk_free_rate)span classsc>//span>span classfu>sqrt/span>(span classfu>t/span>(shrink_w_odd) span classsc>%*%/span>/span>span idcb10-34>a href#cb10-34 aria-hiddentrue tabindex-1>/a>        sigma_even span classsc>%*%/span> shrink_w_odd)/span>span idcb10-35>a href#cb10-35 aria-hiddentrue tabindex-1>/a>    sharpe_even_oos span classot><-/span> (span classfu>as.numeric/span>(shrink_w_even span classsc>%*%/span> mu_odd) span classsc>-/span> risk_free_rate)span classsc>//span>span classfu>sqrt/span>(span classfu>t/span>(shrink_w_even) span classsc>%*%/span>/span>span idcb10-36>a href#cb10-36 aria-hiddentrue tabindex-1>/a>        sigma_odd span classsc>%*%/span> shrink_w_even)/span>span idcb10-37>a href#cb10-37 aria-hiddentrue tabindex-1>/a>/span>span idcb10-38>a href#cb10-38 aria-hiddentrue tabindex-1>/a>    span classco># Compute the out-of-sample Sharpe ratios with shorting/span>/span>span idcb10-39>a href#cb10-39 aria-hiddentrue tabindex-1>/a>    sharpe_odd_oos_short span classot><-/span> (span classfu>as.numeric/span>(shrink_w_odd_short span classsc>%*%/span> mu_even) span classsc>-/span> risk_free_rate)span classsc>//span>span classfu>sqrt/span>(span classfu>t/span>(shrink_w_odd_short) span classsc>%*%/span>/span>span idcb10-40>a href#cb10-40 aria-hiddentrue tabindex-1>/a>        sigma_even span classsc>%*%/span> shrink_w_odd_short)/span>span idcb10-41>a href#cb10-41 aria-hiddentrue tabindex-1>/a>    sharpe_even_oos_short span classot><-/span> (span classfu>as.numeric/span>(shrink_w_even_short span classsc>%*%/span> mu_odd) span classsc>-/span> risk_free_rate)span classsc>//span>span classfu>sqrt/span>(span classfu>t/span>(shrink_w_even_short) span classsc>%*%/span>/span>span idcb10-42>a href#cb10-42 aria-hiddentrue tabindex-1>/a>        sigma_odd span classsc>%*%/span> shrink_w_even_short)/span>span idcb10-43>a href#cb10-43 aria-hiddentrue tabindex-1>/a>/span>span idcb10-44>a href#cb10-44 aria-hiddentrue tabindex-1>/a>    span classco># Store the results/span>/span>span idcb10-45>a href#cb10-45 aria-hiddentrue tabindex-1>/a>    cross_val_results span classot><-/span> span classfu>rbind/span>(cross_val_results, span classfu>c/span>(kappa, sharpe_odd_oos, sharpe_even_oos,/span>span idcb10-46>a href#cb10-46 aria-hiddentrue tabindex-1>/a>        sharpe_odd_oos_short, sharpe_even_oos_short))/span>span idcb10-47>a href#cb10-47 aria-hiddentrue tabindex-1>/a>}/span>span idcb10-48>a href#cb10-48 aria-hiddentrue tabindex-1>/a>/span>span idcb10-49>a href#cb10-49 aria-hiddentrue tabindex-1>/a>span classco># Name the columns of the data frame/span>/span>span idcb10-50>a href#cb10-50 aria-hiddentrue tabindex-1>/a>span classfu>names/span>(cross_val_results) span classot><-/span> span classfu>c/span>(span classst>"kappa"/span>, span classst>"Odd"/span>, span classst>"Even"/span>, span classst>"Odd_Short"/span>, span classst>"Even_Short"/span>)/span>/code>/pre>/div>h3 idinterpreting-results-2>5.1 Interpreting results/h3>div classsourceCode idcb11>pre classsourceCode r>code classsourceCode r>span idcb11-1>a href#cb11-1 aria-hiddentrue tabindex-1>/a>span classco># Print the cross-validation results/span>/span>span idcb11-2>a href#cb11-2 aria-hiddentrue tabindex-1>/a>cross_val_results span classsc>%>%/span> span classfu>kable/span>(span classst>"html"/span>, span classat>caption /span> span classst>"Sharpe Ratios by Kappa and portfolio"/span>) span classsc>%>%/span> span classfu>kable_material/span>(span classfu>c/span>(span classst>"striped"/span>, span classst>"hover"/span>)) span classsc>%>%/span> span classfu>kable_styling/span>(span classat>full_width /span> span classcn>TRUE/span>)/span>/code>/pre>/div>table class lightable-material lightable-striped lightable-hover table stylefont-family: "Source Sans Pro", helvetica, sans-serif; margin-left: auto; margin-right: auto; margin-left: auto; margin-right: auto;>caption>Sharpe Ratios by Kappa and portfolio/caption>thead>tr>th styletext-align:right;>kappa/th>th styletext-align:right;>Odd/th>th styletext-align:right;>Even/th>th styletext-align:right;>Odd_Short/th>th styletext-align:right;>Even_Short/th>/tr>/thead>tbody>tr>td styletext-align:right;>0.0/td>td styletext-align:right;>0.5472192/td>td styletext-align:right;>1.088472/td>td styletext-align:right;>0.5051359/td>td styletext-align:right;>1.051027/td>/tr>tr>td styletext-align:right;>0.1/td>td styletext-align:right;>0.5465215/td>td styletext-align:right;>1.088241/td>td styletext-align:right;>0.5048634/td>td styletext-align:right;>1.051162/td>/tr>tr>td styletext-align:right;>0.2/td>td styletext-align:right;>0.5458206/td>td styletext-align:right;>1.088006/td>td styletext-align:right;>0.5045870/td>td styletext-align:right;>1.051290/td>/tr>tr>td styletext-align:right;>0.3/td>td styletext-align:right;>0.5451165/td>td styletext-align:right;>1.087768/td>td styletext-align:right;>0.5043066/td>td styletext-align:right;>1.051410/td>/tr>tr>td styletext-align:right;>0.4/td>td styletext-align:right;>0.5444093/td>td styletext-align:right;>1.087528/td>td styletext-align:right;>0.5040222/td>td styletext-align:right;>1.051523/td>/tr>tr>td styletext-align:right;>0.5/td>td styletext-align:right;>0.5436991/td>td styletext-align:right;>1.087284/td>td styletext-align:right;>0.5037340/td>td styletext-align:right;>1.051629/td>/tr>tr>td styletext-align:right;>0.6/td>td styletext-align:right;>0.5429857/td>td styletext-align:right;>1.087037/td>td styletext-align:right;>0.5034418/td>td styletext-align:right;>1.051727/td>/tr>tr>td styletext-align:right;>0.7/td>td styletext-align:right;>0.5422693/td>td styletext-align:right;>1.086786/td>td styletext-align:right;>0.5031458/td>td styletext-align:right;>1.051818/td>/tr>tr>td styletext-align:right;>0.8/td>td styletext-align:right;>0.5415498/td>td styletext-align:right;>1.086533/td>td styletext-align:right;>0.5028458/td>td styletext-align:right;>1.051902/td>/tr>tr>td styletext-align:right;>0.9/td>td styletext-align:right;>0.5408274/td>td styletext-align:right;>1.086276/td>td styletext-align:right;>0.5025420/td>td styletext-align:right;>1.051979/td>/tr>tr>td styletext-align:right;>1.0/td>td styletext-align:right;>0.5401879/td>td styletext-align:right;>1.086016/td>td styletext-align:right;>0.5022343/td>td styletext-align:right;>1.052048/td>/tr>/tbody>/table>p>The table above, displays the Sharpe ratios for the shrinkageoptimized validation portfolios by kappa. Once again we can observe someinteresting results. The shrinkage method can increase the Sharpe ratioand therefore risk-adjusted performance of the even portfolios, while itdecreases the Sharpe ratios of the odd portfolios. However, as the goalof shrinkage is to reduce the influence of possible overfitting onhistorical data, we would need to test the performance of theseportfolios on new data that they were not optimized on to get a morerobust estimate of the portfolios performance. The increased Sharperatios of the even portfolios with and without short selling do indicatehowever that shrinkage can improve portfolio performance./p>h3 idoptimal-kappa>5.2 Optimal Kappa/h3>p>While the performance measured by Sharpe ratio of some portfolioscould be increased using shrinkage, this was not consistent, as the oddportfolios did not benefit from shrinkage. Therefore it is not possibleto determine one optimal value for Kappa that increases performanceaccross portfolios. Furthermore, as mentioned before the performance ofthese shrinkage portfolios should be measured on new data rather thanhistorical data for a more robust estimate./p>h2 idconclusion>6. Conclusion/h2>p>The exploration of portfolio optimization has been a journey througha spectrum of methodologies - from the nuanced art of mean-varianceoptimization, traversing the landscape of the Capital Asset PricingModel (CAPM), to the culmination in the realm of shrinkage portfolios.Each technique unfurls unique principles and mechanisms contributing toportfolio construction, and the resultant analysis has birthed afascinating array of findings. The implementation of mean-varianceoptimization offered the advantage of pinpointing portfolios that, for apre-defined risk level, optimize the return, or, for a given expectedreturn, minimize the risk. This strategy yielded dividends in the formof higher Sharpe ratios compared to those realized by portfoliosoptimized employing the CAPM. The gleaned observations point towards apotentially more productive strategy for portfolio construction,grounded in a sophisticated understanding of risk and return, ratherthan a solitary reliance on beta. A noteworthy finding pertained to theportfolios allowing short selling, which displayed reduced volatility.This suggests that short selling might serve as an additional tool formanaging risk. Curiously though, the portfolios prohibiting shortselling, the so-called long-only portfolios, manifested higher returnsand Sharpe ratios. This phenomenon could be ascribed to the inherentability of long-only portfolios to harness the upside potential of thestocks more efficiently. With regards to the Capital Asset PricingModel, portfolios optimized using this model exhibited lower returns andincreased volatility in comparison to the portfolios optimized throughmean-variance. Nevertheless, despite the somewhat idealistic assumptionsabout the market and its participants made by the model, it continues tooffer vital theoretical frameworks that deepen our comprehension offinancial markets and decision-making. The incorporation of shrinkageinto our portfolio optimization procedure introduced an added layer ofadaptability. This addition granted us the ability to modulate thereliance on historical returns versus the CAPM implied returns. Thisadjustment turned out to be advantageous in bolstering the Sharpe ratiosof the even portfolios, signaling that shrinkage could potentiallyenhance portfolio performance. A crucial caveat to bear in mind is thatthe performance of these portfolios was assessed on historical data, andthe real-world deployment of these strategies would necessitateaccounting for real-world factors such as transaction costs and taxes.Moreover, these strategies would require validation against new, unseendata to affirm their effectiveness. Nonetheless, the strategiesdissected in this assignment have imparted valuable insights intoportfolio optimization methodologies and their potential influence onportfolio performance./p>/main>/body>/html>

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