Models for regression coefficients. See Chapter 12 in Regression and Other Stories.
Load packages
library("rprojroot")
root<-has_file(".ROS-Examples-root")$make_fix_file()
library("rstanarm")
library("rstantools")
library("loo")
library("ggplot2")
library("bayesplot")
theme_set(bayesplot::theme_default(base_family = "sans"))
Set random seed for reproducibility
SEED <- 2132
Here we consider regression with more than handful of predictors. We demonstrate the usefulness of standardization of predictors and models for regression coefficients.
We demonstrate with data from Portuguese students and their final period math grade. We predict the third period math grade given student's school, student's sex, student's age, student's home address type, family size, parent's cohabitation status, mother's education, father's education, home to school travel time, weekly study tie, number of past class failures, extra educational support, extra paid classes within the course subject, extra-curricular activities, attended nursery school, wants to take higher education, Internet access at home, with a romantic relationship, quality of family relationships, free time after school, going out with friends, workday alcohol consumption, weekend alcohol consumption, current health status, and number of school absences.
Load data
# Use the merged data with students having both math and Portuguese language grades
data <- read.csv(root("Student/data","student-merged.csv"))
head(data)
G1mat G2mat G3mat G1por G2por G3por school sex age address famsize Pstatus
1 7 10 10 13 13 13 0 0 15 0 0 1
2 8 6 5 13 11 11 0 0 15 0 0 1
3 14 13 13 14 13 12 0 0 15 0 0 1
4 10 9 8 10 11 10 0 0 15 0 0 1
5 10 10 10 13 13 13 0 0 15 0 0 1
6 12 12 11 11 12 12 0 0 15 0 0 1
Medu Fedu traveltime studytime failures schoolsup famsup paid activities
1 1 1 2 4 1 1 1 1 1
2 1 1 1 2 2 1 1 0 0
3 2 2 1 1 0 1 1 1 1
4 2 4 1 3 0 1 1 1 1
5 3 3 2 3 2 0 1 1 1
6 3 4 1 3 0 1 1 1 1
nursery higher internet romantic famrel freetime goout Dalc Walc health
1 1 1 1 0 3 1 2 1 1 1
2 0 1 1 1 3 3 4 2 4 5
3 1 1 0 0 4 3 1 1 1 2
4 1 1 1 0 4 3 2 1 1 5
5 1 1 1 1 4 2 1 2 3 3
6 1 1 1 0 4 3 2 1 1 5
absences
1 2
2 2
3 8
4 2
5 8
6 2
grades <- c("G1mat","G2mat","G3mat","G1por","G2por","G3por")
predictors <- c("school","sex","age","address","famsize","Pstatus","Medu","Fedu","traveltime","studytime","failures","schoolsup","famsup","paid","activities", "nursery", "higher", "internet", "romantic","famrel","freetime","goout","Dalc","Walc","health","absences")
p <- length(predictors)
Data for predicting the final math grade
Pick columns to make models for third period mathematics grade G3mat and select only students with non-zero math grade (use G3por to make a model for third grade Portuguese language grade).
data_G3mat <- subset(data, subset=G3mat>0, select=c("G3mat",predictors))
n <- nrow(data_G3mat)
Default weak prior on original coefficients
Fit a regression model with default weak priors
Dot (.) in the formula means all other columns execpt what is already on the left of ~.
fit0 <- stan_glm(G3mat ~ ., data = data_G3mat, seed = SEED, refresh=0)
Plot posterior marginals of coefficients
p0 <- mcmc_areas(as.matrix(fit0), pars=vars(-'(Intercept)',-sigma),
prob_outer=0.95, area_method = "scaled height") +
xlim(c(-3.2,2.4))
p0 <- p0 + scale_y_discrete(limits = rev(levels(p0$data$parameter)))
p0
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Ff/5C33+3rc3sG3L4+t7ff7e0b9Pa5PdRB/5D3e8u5ny1OPFMi5MmSBMkinlTEU4gTZWKBPImvlCTKJYkqaSJKXgFMMdSedrOLNKPa+91eo73PYHV123otzn6D1WVy9JsdfV22Xo/v1D95hrx+asuJU56NZzKSk/gKSWKyiCcV8mRJAomQJxXxxIIEiTBBnMgTJyZgDB8A4DxNhQTeYDB88sknnZ2dFouFwWDIZLKMjIxrrrlGrVaP6unz+b744ovm5uauri6n0ymXy9Vq9apVq3Jycr7r5jabbePGjceOHfN4PCqVau7cuatXr2YyR3/ADYfD+/fvr66u7u7uNplMAoFArVZrNJrly5dLpdKTb3u2/QFgwjrWZjzWbvQOBwY9Prdn2DsccHuG+4e8Hp9/yOvvH/IODvmGvP6BIZ/bOzxGMTAZcUkCrojPFfK5Ij43ScBNEnCTEhOSBAlJAq44MUGSyJOIeGJBQgKHNUYxAMDkksjjJPI4hRmKk0/1ub1mR1+3rdfSM0Cl9yZHv8nRZ+0ZsLkGI5FTbzwxHAh223q7bb2neVNGHF3E54oEXEECJ5HHFvG5Qh5HkMDmcdk8bjyfGy/kcRI48Zx4ZmICh8NmZquTsU4HAGCkSZ/Ab9q06a233hrZMjg42NHRsXPnzjVr1txwww3R9u7u7ieffNJu/+Zr466urq6uroMHD1599dV33XUXjUYbdXODwfDiiy8ODQ1RL/V6vV6vP3bs2LPPPjuyc29v77PPPtva2hpt8fl8dru9urp6y5Yt995776JFi0be9mz7f6/XX3/92LFjoxo5HE5CAvZVBhhbde3GWXf8MRQOX/A78zjxiTyOkM8R8bnUvxN5J/4t5HOodP1Eo4DL48Rf8AAA4KIl5HGEPE6B5hS5fTAUtvYMmB19VteAydFvdw2aHH0214mKmI6+QX8gdPJVIy+nlt+fYSQl2SlV//pVHB05PADACZM7gW9sbHz77bejL8ViMZPJtNlskUgkEols3LgxPT191qxZhBCv1/v73/9+ZPbO5/MHB0/Ua/3ss88yMjKWLFky6v7vvvtu+KTP5U1NTbt37168eDH1MhgMPvPMM21tbdEOXC7X6/VS308HAoG//OUvQqGwtLT03Pqfifb29qqqqlGNDAaDwZjc//8CTHxuz/CZZO9cNovDYnLZTE48K4Ebn8BmcdmsBDYrgRPPYbMS2MwETjyfE8/jxnPZ8TwOK4ET/72DTv5AyOYatLlG152G86Szj952e4qheYe+61Rlg248IxlPDpsz1iGckb6+vlAoRAgRmyb6f9oJ7PgcdXKOOnlU+6BnuHdwaGDI1zfo7R309Lu9g0O+AY9vYGh4YMjn9vgGh4YHvadYfn9KDVrTwJBPxOde6PABACaryZ3gHTlyhMp72Wz2+vXrqTnzZrP5sccec7lchJCKigoqgd++fbvVaqWuWrhw4Z133ikQCMxm8+9+9zubzUYIefvttxcvXjxqED4cDv/oRz+64oorWCzWRx99tG3bNqq9rq4umsDv3r07mo2r1eqHH35Yo9H4fL7Nmze///77hJBIJPLmm2/OmDGDuvnZ9geAiWxeSeZ/n7vrlife8vhOUec5yuPze3z+nimeGMLkcJpvhtY98+/xiwPg+ygkgqfv+SGydwCAkSb3lCSDwRA9jos7sW2pUqm89dZbly5dunTpUqVSSTV+/fXX1IFQKHzggQcEAgHV85ZbbqHa+/v7jUbjqPsvWrTo1ltvlcvlSUlJd955Z2LiiSLMI3vu3r07GsBvf/vbjIwMGo3G4XBuuummhQsXUqe6u7s7OjrOrT8ATHDXXDYNhd8AAC64srzU21bMinUUAAATy+QegReJRNSBz+dbt25dbm5uWVlZaWnpwoULRy0jN5vN1MHMmTOjqT4hZNasWY899hh1fPKK8ZHz2OPi4lQqVX9/PyHE6z2xV1M4HI4uZS8tLZXJZCMvX7ZsWUVFBXXc2tqanZ19tv3P7I8BAGLs59cv9J52BB4A4Ex4PB5q7R6Px4t1LLGXly77/k4AABeZyZ3Ar1y58ujRo263mxASiURaWlpaWlo2btzI5/PLysqWL1+en59PCPH5fL29J2qiisXikXeIj4+fPXv2d92fw/nWjqYnF58fGhqi1qoRQlSq0TuvjmyhAjjb/gAwKTx+x/JYhwAAU4Hdbg8Gg4SQ6BRCOCtaU0+zzqw1ObUmh6VnoKfX7RqktgIZ9gWCwVAoHIqEIuGRdfTpdFocjcZiMhK4LEkiP0WWWJShvGx61uLyPDZrcn9OBoApaXL/YMrIyHj55Ze3bdu2e/fukRnv4OBgRUVFRUXF7bffvnr1aup34fgbuYj95GJ4598/6o9//OPJjbm5udR8AQAAAIApw+cPVjbpv24yNOotOpPD4hxwDXg8Pn8gGCbk1FvcnUYoFAkR4g+G3N5hW89gk8785eHj6zfuIoSWwGVlqiTzS7JuWzGrNHf05sQAADExuRN4QohEIrnttttuvfVWqhJ7ZWXlyIXx77zzzoIFC8RicbTmvMPhuIDvnpCQEBcXRw2qn7yEfmQLNdv/bPsDAAAAXMyCwfCXVcd3Vh6vbunqtLh6+tz+4Ol2qvs+NDJ6U7oIOfWoSWTIM1zfbqpvN/31470sRlyWWnrlnMKfrp6foRSfqj8AwHiYxAm8y+XavHkzdbxgwYKcnJycnJybb77ZYrG8+eab1LZqoVDIYDCIxWKlUkktPq+srBweHo6PP7Fncn19/bPPPksdP/3001lZWWcVA51Oz8nJOX78OCGktrbWarXK5fLo2c8//zx6nJeXdw79AQAAAC42zj73P7ce/vxQY6PO0j/oPcNR9Tg6ncVicNmsxAS2SMATCrgSIV8hESSLBFIxXy5JvOqlHYSccoufyJZ7FxusLm23TWt0dJqdZkffoNs7cqq9Pxhq1lub9dYX39uVwI0vzU65bnHp7VfP5rJZF+SRAQDO0CRO4Hk83tatW6nR7Pb29kcffZSqEi+VSkcuJqcKxZWWllIJ/ODg4J/+9Kf77rsvMTHRZDK9+uqrHo+HEJKYmJiRkXEOYSxatIhKyEOh0FNPPfXQQw9lZmZ6PJ6PP/54//79VB+1Wh2tSHe2/QEAAAAuBpVNnS++v3tPdZurf+g03eLotAQuW5zIk0sS0xTizJTk/Ax5TqqMwfjej7XftUEvLV0lSVdJFpTljGyta+/+8mBjTXNnp8XpD3wz7D/kGd5fp91fp33gxY8kQn55YeqPLp9x/ZIyrJkHgHEwiX/QsFisOXPmHDhwgBDS1NR0yy23CIVCFovlcDgi//vGNDk5mSoDc/XVV3/55ZfU5vCVlZWVlZUJCQlDQ9/8erjlllvoo6dUnZHFixfv2LGjvb2dEGI0Gh966CE2m+3z+aIdaDTa3XffHV3ffrb9AQAAAKawblvvY69t3XawcWDIe/JZGo3G48anysS5GnlZfvqcaZlCwTjtDF+SrS7JPrH0XWdyfLTj6OG6DpPdFQqf+JwZIcTRN/j5wabPDzb95Ol3hXxuoUa+oDTn2kXTp2WNrlUMAHBBTOIEnhBy//33O53OlpYW6mVfX9/IswkJCY8//jiVCfP5/N/+9rdPPvlktNZdNHun0WjXXnvtFVdccW4xMBiM//u//3vmmWfa2tqolpHZOIvFuv/++0tKSs65PwAAAMCU9M72I8+89aXW6Ix8e5Y8jUaSkwTTc1OvnFs0b3oOg3EuQywXVoZK+v9+fGLDkb3VbZ/ura1r7e7td0cDjxDSO+g5UK87UK975q0v4uh0iTAhR508syj9iln5C6ZnT4SnAIApYHIn8Gw2+/nnn6+pqdmxY4fZbHa5XF6vNykpSSKRzJ49e+nSpSO3ds/IyHj11Vc///zzlpaW7u5ul8ulUCg0Gs2qVas0Gs35hCESiZ5//vn9+/dXV1d3d3ebzWaBQKBWqzMyMpYvXy6RSM6zPwAAAMCU4Q8GH3v10zc+Pez2+Ea2x9Hp2WmyHy6Y/qMlZWcwHz5mFpTlUJPt/YHgZ/vqvqpsbum09g8OjfwaIhQO21yDNtfg/jrt+o27aDTC5cSnSkXF2coFM7J/eNk0hVgQswcAgMmMFomc9X4bMCnk5ua2tbVt2LDhvvvui3UsAAAA8P2m/D7wbs/wnX94b8veY4HgyMLvNFWy8MYrZ95wxawxHaYueezD7zpV9+z153nzYDC4r6Ztz9HWpg6Txdk37P+ePYxZzDh5UmJxtuqKmbnXLSpLTuKdZwAAcJGYuN9uAgAAAMDU4Oxzv/rf/S+9v2vQMxxtjKPT55Rk/fLWZamKSb8xG4PBWDSzYNHMAuql2+ff93VrZaO2rdNidva7PcOjxsz8gVCXzdVlc2070PDAix/zuPE3LilbWJYzf3qmSiqMxRMAwOSABB4AAAAAxkpbl/3lDyv+/Xmlx+ePNnLiWasXlz6wZslEnip/Pnhs1lXzi6+aXxxtaWg3Hm7oONbSrTc5Xf2D356DQNye4Tc+PfTGp4cIIZkqycKynIWl2YsuyZUl8cc7dACY2KbmD00AAAAAiKFQOLz9UPNrm/bvrDoe/l/ZdhqNVp6ftnhO0XVLL4lteOOvODulODsl+tLuGvjqSHNlo66t0+rsc4fC3+TzWpNTa3K++ekhGo1WnKm8YlbestkF86ZlsphxsQgcACYWJPAAAAAAcME06y3vfXn0ne1VJsc32wOxmHE3Lr3koZsWFWUq67t6YhjeBJGcJFhz1ew1V82mXiax4w7V6w7Wa/fWdjTpLNR8+0gkUt9hqu8w/WnjLj43funM/BXziq6aVygVYsE8wMULCTwAAAAAnJdwOFLb1v3ZgcZNFceadJaRpyRC3l3XzF137WVKSWKswpv4UpKF1y8pvX5JKSGkp39ob2377qNtX1W1dBgdVIdBz/CmimObKo7R6bS5xRnXXDZt1cLp6YqkmEYNADGABB4AAAAAzlokEmkx2A7UaffWtO8+2mbvHRx5lkajzZuWcec1c3+0aAabxYxVkJORODFh9cLpqxdOJ4RoTc6dlce3H27eU91GFREIhyMH6rQH6rS/2vBJWV7qjxbNuG5xKTJ5gIsHEngAAAAAOCODnuGjxw2HG/SVTZ2VTZ3OPvfJffLT5dctLr15eXmGUjL+EU4xmSpJ5ur5P1093zscqKhp++xA46f76i09A9TZ6pau6paux177dFZh+g1Ly65bNEOO7eUBpjok8AAAAADwnbQm58E67eEG/aEG3fFOa7Qi3UhMRtycYs2Vcwp+cGlxfrp8/IOc8jjxzOVzCpfPKdzw8PVVzZ2fVNRtqjimN/cQQiKRyJFG/ZFG/S//smnRJTlrlpWvXFDC58bHOmQAGBNI4AEAAADgWzotrl1ft1TUtO+taTc7+0/Zh81iluWnXjot47IZWfNKMnkcZIzjgU6nzS7SzC7SPH/fyuqWro921Xz4VU2XrZcQEgqHd1a17Kxq+dkLH1xz2bSbrrjkiln5TAZq1wNMKUjgAQAAAIB4fP6KmvYvDjfvrDre3u04ZR+NUjy7SFNekDa7MH16jhobm8VWWV5qWV7qH352zeEG/Qc7qz/cVUMtavAOBz7YWf3BzmpxYsK1l0+/YUnZ/OlZdDot1vECwAWABB4AAADg4qU392w/3LTtYNO+2nbvcGDUWUYcfUau+tKSzHnTMmYXabDEegKi0Whzp2XMnZax/oHVO6ta3vvy60/3N1AV73r6h17ffPD1zQflYsHqhdNXXz59/vTMODo91iEDwLlDAg8AAABwcfEHQgfrtV8eaf78UFOz3jrqLI1GK8pULi3PvfySnEtLsrCaerJgMuKumlt41dxCt3d4896693dU7/q6JRgKE0KsPQOv/nffq//dJ05MuGpu4Yp5RUtm5gl5nFiHDABnDQk8AAAAwEWhWW/dfbT1q69bKqrb3d7hUWeFPM6SmXlXzilYNrtAgZH2yYzHib/5ypk3XznT3jv43z3HPtpVc6BOS1Uf7Okfemd71Tvbqxhx9JmF6UvKc+v5fJ0AACAASURBVBddkjuzIB2rIQAmCyTwAAAAAFOTPxA61tZ9pKnzYJ32QJ3W5ho8uU+BRn7V3MLlcwrnlWQy4jC5ekpJFvHXrZ6/bvV8S8/A5r11W/bV761pDwRDhJBgKHyoXneoXvfUm9s58cyZhemXTsuYU5wxqyhdxOfGOnAA+E5I4AEAAACmCEefu1lnadJb6ttNtW3GBq3JHwid3I3HiV9Ylr1sdsHyOYXpiqTxjxPGmUIsoDL5frd3R+Xx7Yebd1Qet/5vP3nvcGBvTfvemnZCCI1Gy1FLywvSy/JTL8lLnZalSuCwYho7AHwLEngAAACAScY7HOiy9RptvV22XoOlR2d2dhidHd1214Dnuy5hMuLKC9IWleVcXpYzpzgDU6YvTok8znWLS69bXBqJRJp0ll1HWytq2g8c0/YOnvibE4lEWrvsrV32d7+oIoTE0ek5qckl2aqS7JSSbFVhhkIlFcb0CQAudkjgAQAAACYc73DA7Oy3OvvNzn6ra/DEQc+A2dlvdvRH063Tk4sFl+SnzixInzcto7wgjcvGUCqcQJUqLMpUPnDD5eFw5Hin9UCd9kijvqqps63bEYlEqG6hcPh4p/V4p/WDndVUS5KAW6BRFGjk+RpFXposW52cKhNhjzqAcYMEHgAAACA2fP6AwdrbbXV12/u6bb3tBrOlZ9DsHHD0DZ1hij6SIIGdpZbmp8kLMhTTspQl2SlKSeJYhA1TDJ1OK8xQFGYo7ll1KSGkz+092mw42tJV29pd22rUmZ0jO7sGPAfqtAfqtNEWNouZoZJkpkgylJJ0pVijEKfJRapkUZIAa+kBLjwk8OfLYDB88sknnZ2dFouFwWDIZLKMjIxrrrlGrVaP6mm327ds2VJbW2u32+l0ukwmKy8vX7lypUAgIITo9fqHHnooFAoRQphM5t///neJREII8Xg8d99998DAiUVKTz755IwZM8b3EQEAAOB8GayuRq2ZmvHeZevttLi6rK7oIuSzIk5MkIsFqbIklTRRLU/SKMQapThDJZEl8S942HARovYjWDIzj3rZ5/bWt5vqOkyNWnN9h+m43jpqCwOfP9CstzTrLaPuw2WzUmUimViQIhXKkvgKSWJyEl8m4suS+BIRX5KYwGRgHQfAWUMCf142bdr01ltvjWwZHBzs6OjYuXPnmjVrbrjhhmj74cOH169f7/f7oy0Gg8FgMHzxxRePP/54fn6+RqO59tprP/zwQ0JIIBB477337r//fkLIli1botn7kiVLTpm9G43GwcHRdWXpdHpcHH4sAgAAxN7nh5pWPvJ3ah+vMyER8mRJ/JRkkSyJn5IsTBbxldJEeZJAIUlUSARsFnNMowUYScjjXDYj67IZWdTLSCTSaXG1GKzNemt7l73d6Gjvspud/Sdf6PH5Wwy2FoPtNHdOTuKL+FyJkCfic8WJCUI+J0mQIORzRHyukMeRSwQZSslYPRjA5IQE/tw1Nja+/fbb0ZdisZjJZNpstkgkEolENm7cmJ6ePmvWLEKITqd74YUXqNH1uLg4jUbj9/u7uroIIW63+8knn3zllVckEsn1119/6NAho9FICNm1a9eqVasEAsEnn3xC3V8oFN5xxx2njOQvf/nLnj17RjUmJCTweLwxeG4AAAA4O40688nZOyeeqVGKU+VJqTJRSrIoVS7is2hSIVch5mvSUmMSJ8D3otFoGqVYoxQvn1MYbRzy+vVmp87s1Jt7DBaXweoy2vtMjj6bazC6nP5kfW5vn9t7+rf7669uoCb2AwAFCfy5O3LkCPUjic1mr1+/npozbzabH3vsMZfLRQipqKigEvi3336byt65XO5zzz2Xnp5OCKmtrX3qqadCoZDH49m4ceMDDzzAYrF+/vOfP/roo9RXAO+++65UKvX5fNTbrVu3Dgk5AADAZLRu9WVme/+W/fVsFoMdz2SzmGwWk6oDHwiGtCan1uQkhPj9fuqjRXx8fIwjHktuXyAm70u3fOdQ8Lpn/j2ekZyMx55qsyqEfI6QzynQyP2BkC8Q8AdCfn9wOBgKBILDgWAgGKL+8QdD5LQTU6pbusYrZIDJAQn8uTMYDNHj6GR1pVJ56623NjU1EUKEQiEhxOPx1NbWUmdXrlxJZe+EkBkzZixduvSLL74ghOzbt+/ee+9lMBj5+flXXXXVtm3bCCGHDx+O3nbevHlz5swZn+cCAACAC4vPjX9wzaJXPt4b60Auaqepk17ZoBu/OOCMLZ9b8Pgdy2MdBcDEggT+3IlEIurA5/OtW7cuNze3rKystLR04cKFixYtinYzm83RY4/Hs2vXruhLalieEBIIBGw2m0qlIoTceuutVVVVDocj2oHH4919991j/0AAAAAAABPFgzcuUstEsY4CYGJBAn/uVq5cefToUbfbTQiJRCItLS0tLS0bN27k8/llZWXLly/Pz88nhFgs39Tk3Lx583fdzWKxUAk8h8O59957n3jiieipn/zkJ9EvCwAAAGDsBIPhL6uOH2nQGe19oUgkWcibnq26al7x+W+IpU4WOb58/vR9HA4H9d29XC4/z7cDmAL4XHasQwCYcJDAn7uMjIyXX35527Ztu3fv7u3tjbYPDg5WVFRUVFTcfvvtq1evji5iPz1qyJ0yNDQ08pTH8z07wV5++eWpqaOr3fzjH/8YHh4+ZX8AAAAYyR8M/uGtHf/+vLLL1nvKmluJPM6i8txn7r46J012bm9Bp9NE/O/5FiDg5QSDQULI9/YEAICLE+00lSHhDEUikfb29qqqqsrKylEL49944w2r1frrX/+aannhhRfy8vJOf7f+/v577703unUcISQ+Pn7Dhg1n+2V8bm5uW1vbhg0b7rvvvrO6EAAA4OJhcw2se/4/nx9qDIbCZ9I/O0X6pwdWr5hXNBbB2O12KoFXKpVjcX8AAJjsMAJ/jlwuV3Q+/IIFC3JycnJycm6++WaLxfLmm29WVVURQkKhkMFg0Gg00au0Wu3IBD4UCgUCJwqxMplMqmTd66+/TmXvdDqdxWL5fL7h4eFXXnnl97//PY12mvIrAAAAcBYMtt47n9m4t7otPHIwg0aPsDmEFR+JYxJahBYKk8Awzesh4RNla9qNjmt+9fdUuei1R25aNjs/NqEDAMDFCgn8OeLxeFu3bqUWqrW3tz/66KOJiYmEEKlUSi1lp8hkMqFQqNFo9Ho9IeSjjz4qLS1VKBSEEL/f//LLL+/bt48QwuVy33jjDR6PV1lZuX//furapUuXSqXSd999lxBSX1+/Y8eOZcuWjfuDAgAATDUNWvO6596vbO4cmblz41krLiv5oH2Q0OnRxsj//oc27NVEBgyWHqqhy9q74qFXc1KT3/jN2rnFGeMYOwAAXNSQwJ8jFos1Z86cAwcOEEKamppuueUWoVDIYrEcDkd0VUJycrJSqaTRaLfddhtVlM7lcv3sZz9LT08PBoMmk4maJkcIuf7663k8ntvtfvXVV6P3X7NmDYfD+eyzz/r6+ggh//rXv8rKyiQSyfg/LAAAwNRQ2dT50+feb9BayIi9p5MECeuuW3jt0nJCyAePfXiKy2gkwuZ88uxtOrPjqb992tDWTV3c1mW/7J6XijIUf//1mlmF6ePyBAAAcFGjf38X+A7333//yPnwfX19drs9mr0nJCQ8/vjj1KT30tLSe+65hzoOhUJardZgMESz97Vr165atYoQ8s9//jNaDG/lypUikYjNZt94441Ui8fjefXVV1GzAAAA4BzoLT0zf/zCvLvWN2jN0ew9OYn/h/t/9NXrv6Ky9++VoZS+9dRPPn7xvvwMZXRb8UadZd5d6wtvfHpPTftYRQ8AAEAIwQj8+WCz2c8//3xNTc2OHTvMZrPL5fJ6vUlJSRKJZPbs2UuXLk1ISIh2XrFiRVFR0fbt2/V6fVdXF41Gk0qlhYWFy5cvV6vVhJDa2tqvvvqK6szn81evXk0dX3HFFZs3b7ZarYSQo0eP7t27d+HCheP9qAAAAJPZuhc+eHPLoZFr3VPlSb/68Yp5JZnncDeNUrLx2bubOsy/+9snOuOJTWRau2xL73s5Qyn56yM3Lp2Ze2HiBgAA+DZUoZ+yUIUeAACgWW9Zev8GW89gtEWjkv523TUlWSmn7F9yyin0hBBC6p69/hSN7d1Pv75V220f2ZifLvvgmZ8UahRnGy2q0AMAwOlhCj0AAABMTX/a+NWMW/4Qzd4FPM6fH7npv+vv/a7s/RyUZKs/+uPP3nvunnyN4n9z6snxTtv0m//w4Ev/DYcxTAIAABcSEngAAACYagLB0EN//u+jf90SCkcIITQa+eHCGXv+8chlpWMyuT0vXbHxD/d8/Kd78/436h6JRDZ8VLHo3r90Wlxj8Y4AAHBxQgIPAAAAU0qz3jrv7vUvf1hBveSyWa//9sdP/PQaqprs2MlQSd/7wz3/+N3tyUkCquVAnbbstuc2VRwb0/cFAICLBxJ4AAAAmCICwdCzb30588cv1LR0E0LodNrS2YW7//FIWX7auMVQlp/+xasPffTsnckiPiGk3+29/rE3f/nypmAoPG4xAADAVIUq9AAAADAVVNS037/+w2a9lXqplon++X83i6XimASzamHJvJKM2596Z0flcULInz/Yc6zN+MHTd0iEvJjEAwAAUwNG4AEAAGByMzv71/72rSX3vUxl7zQa7fYVs2vf+fXlZTkxjCpZxP9s/brf3XkVnU4jhFTUtM+644/H2owxDAkAACY7JPAAAAAwWUUikb9t2l9009P/+aqaaslPl+/c8PM3frNWyOPENjZCCJ1Oe/yO5ZtfuIcKxmB1zb/nxbe3VcY6LgAAmKyQwAMAAMCkZHb2L3/w1fv+9OHAkI8QwuPEP3fvyuq3H11Ymh3r0L7lqrmFh974ZYFGTgjxDgd+8sy7P3nmXbd3ONZxAQDA5IMEHgAAACafHZXHy2597quqFurlD+dPa3z//365djGLGRfbwE4pJzX54D9+uXrhdOrl29sqy29//kijPrZRAQDApIMEHgAAACaTSCTyzFtfXv3wa44+NyEkScDd+NTtm56/KyVZGOvQTofPjf/PM3e8+Itrqa8Y2rsdC376519t+GTI6491aAAAMGkggQcAAIBJw+0dvv43b/7u9c/C4QghZF5JZvXbj96wpCzWcZ0RGo12//ULD77+cH66nBASCodfen93yc3PbN3fEOvQAABgckACDwAAAJNDh9Ex9871n1TUUS8fuOHyXa/cr5aJYhvV2ZqRq6761yMPr1kcR6cTQjotrlX/7/UfPPy39m5HrEMDAICJDgk8AAAATAJb9tXPvuOPzXoLIYQTz3z7d7euf2A1I25SfpLhxDOfv2/l4Td+WZaXSrVsP9xUcvMzz/5795APM+oBAOA7TcpfewAAAHDx8Pj8P//Thz/69Rt9bi8hJFUm2vvag2uXlcc6rvNVmqc+/MYv//qrG5IEXEKIPxB6ZdPBhT//+6Z9jZFIJNbRAQDARIQEHgAAACauHZXHZ9zyh9c27ady2sXluZX/eqQ0Tx3ruC4MOp12z6pLj//nt3evnEfNqLf1un/x8tYF6/5c09Id6+gAAGDCQQIPAAAAE1F1S9fVD7921YOvak1OQggjjv7k3Vdvf+leqZAX69AuMHFiwquP3Fj1r1/NLDgxo/5QvW72nX+885mNJkdfbGMDAIAJhRHrAAAAAAC+MRwIfnag8W+b9u+pbos2TstSvfHY2ikz8H5KJdkpnzxz638r6p99Z4/VNRgOR97aduTDXTU/u3b+Q2sWJ4v4sQ4QAABiDwk8AAAAxF6f27vnaNtnBxs+3dfQO+iJtkuEvN/8+Mp1q+dP0np1Z4VGo62cX3hFec47XzW8+P5u73DA4/P/aeOuv368b82y8jt+MGdWYXqsYwQAgFhCAg8AAAAxMDDka+m01mvNx9qMhxv0jVpzKBwe2UEhFtx73YKfXXuZIIEdqyBjgstmPnn31XdeM++JN7a9u/3rUDjsHQ68+emhNz89pFGKr5pbuLA0Z3axRiEWxDpSAAAYb0jgz1Fzc/PWrVu7u7vtdjudTpdIJGq1esWKFYWFhTQabWRPj8ezadOmAwcO2O12oVA4d+7cNWvWbNy4cevWrYQQlUr12muvjexvt9u3bNlSW1tL3Vkmk5WXl69cuVIgwO9pAACYlAaGfG1dNq3JqTU6dSZnh9HRYXRYewZO2ZnJiLtiVv5tK2ZdPa+YxYwb51AnDrVM9OZvbn7kliv++M7O93ccHQ4ECSF6c89fP97314/3EUJUUmFJtqo4U1mcpSrQyPPS5BfzHxcAwEUCCfy5eP311z/77LORLV1dXV1dXQcPHly9evXtt98ebbfb7b/5zW9sNhv10ul0fvrpp8eOHcvKyjrlnQ8fPrx+/Xq//5s9YA0Gg8Fg+OKLLx5//PH8/PxTXvXOO+80NTWNauRwOFwu9+wfDgAA4EL67EDj9b95wx8Inb5bqky0oDR72eyCZbPzRXz8/johNzX5jd+sfe7ea97fWf3u9qqa1u7oDnMmR5/J0ff5oRMfAOKZjD8/9KO7rpkXu2ABAGDMIYE/awcOHBiZvfP5/OHh4WjKvWnTptmzZ+fl5RFCIpHISy+9FM3eWSyWTCYzGo1Utn/ynXU63QsvvBAKhQghcXFxGo3G7/dTPd1u95NPPvnKK69IJJKTL6yvr9+zZ8+oRgaDwWQyL8ADAwAAnIddX7ecnL3HMxhqeVK6PEmjkuSopfkaebRIm97Uoyc9F+rd2639Z9WfNuz7rlPHdZYzv0/Q4/n+TidxuVzUxwDrwOg/sXnFGfOKMxx97q+bDXXtpiadRWd2BkPfdBsOBN/78igSeACAqQ0J/Fnbt28fdSASiZ599lmVShUMBo8dO/bUU09R7c3NzVQCX11dHR0YnzNnzsMPP8xisVwu19NPP93R0XHynd9++23q1zaXy33uuefS09MJIbW1tU899VQoFPJ4PBs3bnzggQfG/hEBAAAumF/ctKhJZ9k9oqQ8IWQ4GOww2juMdnI0VnGd2mkK5a197O/jF8fZy1BJHrt9WayjAACAsTX1C7pecGw2u7S0tLS09IYbblCpVIQQBoNRUlISF3di4ZnVaqUOogP1XC73F7/4BYvFIoQkJSU98sgjdProP3mPx1NbW0sdr1y5ksreCSEzZsxYunQpdbxv375gMDh2jwYAAHDBpcmT/nDvNbGOYur79W3Lls7Mi3UUAAAwtjACf9Yeeuih6PHg4GBnZ6fBYKiqqgqFRs92i86TnzlzJofDibbL5fKSkpJouk4xm83RY4/Hs2vXrujL6J0DgYDNZqO+NQAAAJgsJEIepnafCa/XSy1xP4cqNrmpyWMQEQAATCxI4M9Fd3f3Z599VltbGx1sP9nw8LDT6aSOZTLZqLMqlWpUAm+xfLOybvPmzd91W4vFggQeAAAmlzR50mv/78ZYRzEJ2O12aqqdUqmMdSwXQHu3Y/+xjrp2k97itDgG+gY9bq9/OBAMhoLBUDgyYtNAOp0WF0ej0+ksRhyTwWAy4viceHY8k8tm8hLiBVwOl80S8TnceJYggR3PZIgTeYQQNitOLOJFbyJI4Aj5J8ZLZCI+l80a38cFABgPSODP2v79+1988cXoqDiDwUhPT582bdrnn3/u831T+WZkJflowdjTtIy89jQcDsfJjU8++eTjjz8+qrG8vHxg4NQ79AAAAABccF8eOb5lf93XTV16s3NgyBc+6dPOdwoRErjw8dAIodFpcXQ6k8HgspkCLlsq4qfIhPnpspmFmstKsnhcJPkAMMkggT87fr//tddeo7L3tLS0tWvXlpWVMZnMUCg0aticx+NxuVyPx0O+PT2eYjQaR7WM/K79hRdeoMrgnaHvmmh38tcEAAAAABfQ1gP1/97+9ZEGva1n4Cwy9nERISQSjoTDoUAw5PENO/vcOrOzcsTGuyxGnFTEy0uTXzY967rFM3LSRk+ZBACYaJDAnx2j0eh2u6nj6667bvbs2dRxS0tLOBwe2ZNGoymVSqrafFVVVX9/f2JiInXKYDDU19ePuvPIBF6r1Y5M4EOhUCBw4ntpJpMZrZYHAAAAMP7Mzv6//GfP1n31WlNP6Nuff6JoNBLPYor4XLkkUS4RpiSLlJJEebJQlsQXJCQkJY4ee3D1D3n9fmf/kM/r7+kbGhjyuD2+V/a2k3CYhMOEhGmhMJWRk0iERCLy+BPv6/MHR45Y+ANBQkiERELBSIREwuHIacYz/MGQydFvcvTvOtr6uze2sRhxKTLRvGkZa64oXzoLFQEBYCJCAn92RhaBr66unjFjBo/H6+zs/Otf/3py50svvZRK4P1+/5NPPnnfffcpFIrm5uZXXnnl5N8lQqFQo9Ho9XpCyEcffVRaWqpQKKhrX375ZWrvOi6X+8Ybb/B4vJPeCgAAAGBsfd3c9dIHu3ZVtfYMDJ2yQwInPk2RND039dIZuZcUpDMYZ7HbUVJiAiEJKqloZOOGo7bo8ahPTtufvf7Mb253DXRaXN2Wnm5bj8Hisjh67b1u95A3GPrWtw/+YEhncupMzne2V8XR6anypMtLc+5aOa+8IPXM3wsAYEwhgT87aWlpcXFx1BT6PXv27Nmzh81mj1q+Hh2Kv/rqq7du3drT00MI6ejo+MUvfnGaO9NotNtuu+2JJ54ghLhcrp/97Gfp6enBYNBkMkW/Nbj++uuRvQMAAMB4+urr1pc+2HXgmHbI6z/5LDeeladRLJqZ/4OF0/lc9viHdyaSkwTJSYKZhemj2nv63ftr2o406Fp0FmtPnz/wzY5CoXBYb3bqzc5/fnYonsko0MhXLihZd+1lSYKz3iAAAOACQgJ/duLj42+55Za33nor2uLz+Wg02po1a7766iubzUYI6ejoCIfDdDqdxWI9+OCDv//974eHh0feRKlUyuXympqaUTcvLS295557Xn/99UgkEgqFtFrtyLNr165dtWrVWD0YAAAAwAhbD9T/5YOKI42dPv/o+nI0GlFIhZeV5t60fLZaJjrl5ZOCOJG38vLSlZeXUi/Nzr5PK44dPtbeYXR4fd98WzEcCNa2GWvbjL/7xzZxYsL8GVk/XTV/SXlujKIGgIsaEviztmrVKolE8umnnxqNRh6Pl5+fv3z58oKCAp1ORyXwOp1u7969l19+OSFk2rRpGzZs2LJlS2trq9FoVCgURUVFa9eu3bhx48kJPCFkxYoVRUVF27dv1+v1XV1dNBpNKpUWFhYuX75crVaP96MCAADAReY/O6tf3bTvaHPXcCA46lQcnZ6Vmnz1ZdOvW3oJizkFP0MqJcKf/mjhT3+0kBBidw38d2f1vpoWvbnHP+KPoqd/aHNF3eaKOhYjrihTecPS0nWrL8OWdQAwbmgoVB4Tr7322vbt2wkharX6lOvnz19ubm5bW9uGDRvuu+++sbg/AAAAXFix2gc+HI7856vql/9TcazNGAiFRp1lMugFGarrlpZfOa+ITj+LZe3nr+SxD7/rVN3ZrIE/T43tpg93VlY16h2uwZM/N9NotBSZcMWc4odvXqRRiMctKgC4OE3Bb08njtbWVmp5PIPBKCwsHHkquo3cOP+GBgAAAKD4A6G9te2b99Zt3ltncw2OOstixhVnq9dcOevymfkxCW/iKMpWFWWvJoT4A8HNe2q3768/brD6/7eyIBKJdFt7//bJvr99sk8kSFi7rPzhNYsm9coCAJjIkMCPoa1bt1LV4wkhL730UmZmJnXc1NTU0NBAHUcbAQAAAMZBn9v75ZHmT/c1fHGkud/tHXWWHc+cnpu6dsXceSX4iDIai8m4/ory668oJ4Q0tBvf315Z2ajrHVGTv3dg6JWPKv768d7SXPWqhSUrF5TkYW95ALigkMCPoQULFkQT+CeeeGLVqlVSqbSjo+Ozzz6jGlks1qJFi2IXIAAAAFws2rrsnx9q2naw8UCdNhD81jx5Op1WoFHIxMI1V82ekYct085IcXZKcXYKIcTV79n4+eFdlc1GmysciRBCIpFIdUtXdUvX//1ta4FGvmpByaqF06fnpMQ6ZACYCpDAj6Hy8vKf/OQn//znPyORSH9//8ja9YQQkUj04IMPJicnxyg6AAAAmOI8Pv++2o4vjjR/cbi5w+gYdZbNYi66JOeHl037waXFsiR+fVdPTIKc7JISuT+/afHPb1ocDAa/ONzU4+z9dH+D3nziD7NZb23WW59560uNUnzNZdNWLiiZU6yJG99SAgAwlSCBH1vXXHPNrFmztm7d2traarfbPR6PVCpNTk6+5JJLli1bxmKhZikAAABcSOFwpL7DtLOq5auvWw7W6U7eBE4i5F01t/AHlxYvnZXH48THJMgpicFgXD2/ZFqqeP0D1x5rM35SceyTvXXNeit1Vm/u+fMHe/78wZ5kEf/qS4t+cGnxkpl5nHhmbGMGgEkHCfyYk8vld911V6yjAAAAgCkrHI406y0VNe37ajv21rb39A+d3GdaluqquYUr5hXNLEzDCPBYm56TMj0n5cm7r27tsn9SceyTirqa1m5q7yd77+A/tx7+59bDXDbr8rKcFfOKls8pQNE7ADhDSOABAAAAJh+3d7impftgve5Io/5Qva530HNyHxGfu7g894pZ+ctm56ukwvEPEnJTkx+99YpHb72iy9a7ZV/9lr11B+q0wVCYEOLx+bcdbNx2sJEQUpihWDYrf+ms/EtLMjEsDwCngQQeAAAAYBLw+QONWnN1S3d1S9fXx7uadZZQOHxyNzaLObsofdEluUvKc8vyUzHYPkGkykQ/v27Bz69b0NM/tP1w09b9DTsqjw96hqmzTTpLk87y4vu72SzmnGLN5WU5C0uzL8lPYzHjYhs2AEw0SOABAAAAJiJLz0Cj1lzXbmroMNV1mFo6rdTI7cm4bFZ5QdqCGVmXzcieVZiOIdyJTJyYcPOVM2++cqY/9leLzQAAIABJREFUENpX2779cPMXh5tau+zUWZ8/sKe6bU91GyGEy2bNLEibPz1rTrFmVmF6Io8T08ABYEJAAg8AAAAQe0Ne/7F2c73W3Nbl0NsGGrRmZ5/7NP3T5EkzC9NnF6XPKdLMyFUzGRiqnWRYzLglM/OWzMxb/8BqvblnZ1XLV1UtFTVtroETqyE8Pn9FTXtFTTshhE6n5aXJygvSLslPK8tVF2ep8DUNwMUJCTwAAABADJid/cfajMfajHXtxvoOk9bkDIcjp+mfKhNNz1HPyE0py0sty0uVJfHHLVQYaxql+O6V8+5eOS8cjtS1Gytq2vfWth+s+6a0QTgcoXake3tbJSGEEUfPTZOVZKuKM1XTspQFGgXK4AFcJJDAAwAAAIwHZ5+7qtlw9HhXdUtXTUuXpWfgNJ25bFZ+unxalrIoUzktS1WSnZIk4I5bqBArdDptRq56Rq76wZsWUZsLHKjTHmnsrGzSt3c7ot2CoTC1bJ6Qo1RLIo+TmyYrSJfnpslyUpNzUpMzVVIsoQeYepDAAwAAAIyJYChc32463KivbNJXNnZqTc7v6kmn0zQKcW6qJFctyU2VLigvzlCJUX/uIken04oylUWZyp+unk8I6ekfOnrccLSlu6al61ib0WB1jezc7/ZWNXVWNXVGW+Lo9DR5UpZamq2W5qTKslIk2anJafIk/L0CmNSmZgL/4osvVlRUEELYbPaHH354wfsDAAAAnFLvoOdwg/5Io/5gve7occOQ13/KbixmXFGmsjRHTW0YXpSp5HHi7XZ7MBgkhCiV0vGNGiYBcWLCstkFy2YXUC97Bz117aYGrblJa27SW47rrX1u78j+oXBYZ3bqzM4dlcejjSxmXIZSQo3SZ6uTc1OTc9NkEiFvXJ8EAM7D1EzgAQAAAMZHOBxpMViPNHYebtBVNnUe77RFIqdYyk6n0/LS5DML0soL0srz04qzlCg7B+dDxOcuLM1eWJodbbH0DLR0WlsNtrYue2uXvaPb3mlxjdpr0B8ItRhsLQbbyEZxYkJumiw/XZ6TmpyfLs9Nk6UrMFAPMEEhgQcAAAA4Ozqzs4baj73ZUNPaPTDkO2U3IY8zu1gzqzB9TpFmZmG6IIE9znHCRUUhFijEgsvLcqIt/kBIZ3Z2dDvauu0d3fb2bkeH0dFt6x11YU//0KF63aF6XbQlnsnIUktzU08M1GerpVlqabIIdRMBYg8JPAAAAMDp9PQPHe+0NuutjVpzfYepQWvu//Zc5ZFyUpNnF2nmTsuYW6zJS5PT6bTxDBVgJBYzLi9NlpcmG9no8fnbu+1tXfa2bkerwdpqsLcabG7v8Mg+w4Hg/4rkfUOQwM5QSTJVEo1SnK4QpyvEqfKkdEUSl80aj4cBAEIIEngAAAAASjAUNjv7u60uvaVHb+7RmZzt3Y72bntP/9BprhIksMvyUmcXpc8q1MwqSpdiOTFMbFw2qyQ7pSQ7ZWRjt623rcve2mU7rre2dtnbumxGe9+oCweGfNTGh6PaJUKeSipUy4TqZJFCkqiWiZSSRIUkUSlNFPI4Y/swABefCZrANzc3b926tbu722630+l0iUSiVqtXrFhRWFhIo33rm2yv1/vee+8dOXKkp6cnMTFx5syZa9euPc2dz7z/jh07Xnnllf/P3p2HNXWljwM/2QMJISGBhIQlgLILAqK4olhrcUVrtZW6tNOp02W6fdsZpzN21Glta0c7Y9vpjN1cav2prfu+gagVkUVEMOxJgKxkgUAIWX9/XJumAVEUCMv7eebpc++55968t09H8+ac8x7seOvWrRwOZ9euXTdu3MjKynryySexdpVKdeTIkZKSEixOLpebmpqalZXFYDDcniaRSA4dOiQWi+VyOZFI5HK54eHhCxcuDA4OfuieAAAAAOiVjk6LWt+m0raqdG0qnaFJ3aLWGZrUenlza4NSp9C0ui0Y7haDRk0YJUiKDEqODkmJDokO5cIwOxjqgrmsYC5rZmqUs8Vg7KyWqqoaVFVSJTb3vrZRrW01dr23Wd/WrG8rrXZP7BFCXhQSn+PLZTN4fgy+vy+HSQ9kM7h+DH8WnevH8GfSaV4weg9A7wzGBH779u3Hjx93bZFKpVKp9OrVq4sXL169erWzvampadOmTQ0NDdipRqM5depUSUkJn8/v9sm97e9kMBi2bt3a2NiIEHJWprl27dqWLVvM5l+ry0okEolEcvr06XXr1sXExDjbDx48uGPHDrcH1tTUnDt3bvny5cuWLXuInq60Wm1Hh/tcPjwej4fqIwAAAEYkk9nyn58uSxVabWu7psWoaWlv1hvU+rZ71YTvgY83ZXRIQHQoN0YYGBvGGzOKHxbIdhtOAGD48fGmJEcHJ0f/ZgBJZzCKZZo6maZeppEqtBKFVizXNKr091pU0tFpqW1q7mEDRW8qmeNL47DoHF8625fG9qVxmPTVc9OCAph9/D4ADBeDLoG/cuWKa/bu4+PT2dnpTJIPHjyYlpYWHR2NELJarRs3bpTL5W5PUCgUCoWi65N729/Vvn37sOzdqa6ubvPmzTabDSFEIBDCwsLMZrNUKkUItbW1bdiw4fPPP+dwOAih27dv79y503kjm80mkUhKpdLhcDgcjj179giFwgkTJvSqp5sPP/wwJyfHrZFGo/n4QK0RAAAAI9En35/f8PXJXt1CJZME/r6CAGYozw9b4hvGZ0cE+fM5vv0UJABDDsvHmxXlnRTlPi3UYOxsUGqb1C0ydYtUqVVqDY0qnUJjkKn1Kp3BarvnxBajySw1maW/rat3sbDy4hev98sLADD0DboEPi8vDztgsVibNm0SCARWq/XmzZsbN27E2isqKrAE/vTp085sPDY29sUXXwwMDCwrK9u2bVtra2vXJ/e2v6uKigpvb++xY8eyWKyQkBCE0M6dO7Hs3dvb+6OPPhIKhQihkpKSjRs32mw2o9G4Z8+e119/HSGUn5+PDdpTqdQtW7ZgM+FlMtm7776r1WoRQrm5uVha/uA9AQAAANCDrgvR8XgcmUikkIkUEpFKJlLIRAqZ5EUmUchELwqJSiFRSHe/FHV0WirqFRX19/lxvz90dnba7XaEkJeXB1YOtxh7PT2hv+GV3czKxvz5XwcGMpIH5+sNc8IRQohKJgkD/YSBfg4H6rRYOs3Wjk5Lp9lqMltMZmunxdpptpjMVrPF2mmx2u2/2XnRj0HzVNgADH6DLoGnUqnJyckIofHjxwsEAoQQkUhMTEwkEAhYwuwcLXcO1DMYjPXr11OpVOyut99++7333uv65N72d8Xj8TZv3sxk3p3MYzQaS0pKsOOsrCwse0cIJSUlzZo16/Tp0wihvLy8V155hUgkSiQS53MIhLs7vvL5/JUrV5aXlyOEnI998J4AAAAA6MEfFk+lkIi///AHZ4vd7jCZLSazxYNRgd7qYaHCufzygYsDDKDn5qX9+62nPB0FAIPXoEvg33rrLeexwWAQi8USiaSgoADL3p3MZrNzOD0jIwPLxjGJiYk8Hs9tVnxv+7tZsmSJa/Isk8mcx0aj8cKFC85TZ5wWi0WpVAoEAhaLhbWYTKaXXnopKioqJSUlOTl5+vTpGRkZrp/y4D0BAAAA0LNxMSGeDgEA0Gtx4XzYlw6AHgy6BB4h1NDQcPz48ZKSkh6Sarlc7iwmhw3UO+FwOD6f73Zvb/u7cbvFdSH94cOHewhSIBBkZWUVFha2tbUhhBwOh0gkEolEe/bs8fHxSUlJyczMdJa7e/CeAAAAAOhZVCiv6se/ezqK3tFoNFarFSHE5XLv2/mhNevb6mQaRXOr3mDstFhb2jssVptbHzaD7lanj0n3opBJv576eFEoRBqF7OvjHcj2If4ycxCAR8SG+fMA9GjQJfCXL1/eunWrcxybSCQKhcKEhISTJ0+aTCZnN7vLLi9dK8F2rb7e2/5uKBSK66lrJD1Qq9UIofDw8G3btp04ceLixYs63a8lOgwGQ25ubm5u7urVqxcvXtyrnm4mTJjgHL132rdvn2uFfAAAAGBEIZMI4XyOp6PoHTrRjiXw/D6K3GS2Hr9y63T+nbIamVSha23vMFutDsf9b+wtHEIEPJ5MJvl4k/2Z9GAeOy6MNzkhYmZqJIymAgBAHxpcCbzZbP7yyy+x7D00NDQ7OzslJYVEItlsNreB7sDAQOex64R2hJDD4XBreYj+PXPddm7z5s1YUb0ecDicVatWrVy5srq6uqCg4Pr1667L3Xfv3p2ens5ms3vV09WSJUu6fujOnTu77i0HAAAAgOHNarX/v/OFu0/dKK5s0Bva+yNd78qBkNVut5o6jaZOpdZwu05+6ufb/9xzHiFEJZOCuL7JUSELpyZkTU90FgsEAADwEAbXn6GNjY3YBHKE0FNPPZWWloYdi0Qi1yF0hBCVSuVwOM3NzQihCxcuPPPMM85B8rKysq4JeW/798w1ga+trXVN4G02m8Vyt0AOiURqaWlx/vSQnp4eGRkZGRn57LPPyuXyb775pqCgALtFIpHgcLgH7Nk1gQcAAADACGe2Wv+1N2f3yYKqBqXNfs+sHY/DkUgELwqZSiHRqGQSkUAmdv9t0IFQW0cndlzXav2l2Y6cD7fbEXJ42c12u91qtdvv8VOByWypaWiuaWjef74Yh5CfLy05OmRpRlJ2Zuq9PhoAAMC9DK4/N7FpY5iioqKkpCQ6nS4Wi7/44ouunefMmbNr1y6EUEtLy/r169esWcPj8W7duvXZZ591+/De9u8Bk8kMCwurr69HCB04cCA5ORkb4Tebzdu2bcN2wvP29v7666/pdPqxY8ewOQXV1dVr16719fVFCPn7+7uuq+dyuQ/es7fRAgAAAGAY++F04ZYfzpfVyexd8nYcDudL9w7ns+NGByXHhCTHCH28qd0+pGeJ7+6/16WfNy11Hss1LVViZbVEXtugliq1crXe0N7h+muCAyFNS/u563fOXb/z4kd7eWzGtLGjXlw0OT1p9ENEBQAAI9DgSuBDQ0Od28Xl5OTk5ORQqVS3BefOofh58+YdOXKkpaUFIVReXv7aa6/1/PDe9u8BDodbtWrV+vXrEUJarfbll18WCoVWq7Wpqcn5G8TSpUvpdDpCaOLEiVeuXME+dMWKFUwmk0wmq9VqZ1G9gIAAPp+Pw+EesOdDhw0AAACAYaO6Qf2X/xw5da2is8veeHQvSkJU8NwpibPS4ojE+xT66UOBbN9Atm96SqRro7ip+fz18uu362sbVC0GozObdzgc8uaWfeeL9p0vIhMJUaHchekJLy+eFuDnM2ABAwDAkDO4EngKhbJixYodO3Y4W0wmEw6HW758+fnz55VKJUKopqbGbrfj8Xgqlbp27doNGza4ZfgMBoPH41VVVbk9vLf9e5acnLxmzZrt27c7HA6bzVZbW+t6NTs7e9GiRdjxa6+91tzcLBKJsFO9Xu/ak0ajrVu3Dqur9+A9AQAAADAy2e32zw9c+ve+HIlC53aJQfeamhz5wsIpoQJ/j8TWLaGA88Li9BcWpyOErFbr6au3z1wrv13T2NLegX7J5s1WW1mtrKxW9v63p5k+XqmxodmzU59+bNxA/voAAABDwuBK4BFCixYt4nA4R48ebWxspNPpMTExmZmZsbGxdXV1WAJfV1d36dKlGTNmIITi4uI+//zzAwcOFBUV6XQ6BoORkpKyfPnyXbt2dZuQ97Z/z+bOnRsfH3/q1Kn6+nqpVIrD4fz9/ePi4jIzM4ODg53dqFTqxx9/XFxcfPbsWZlMptVqOzo6/Pz8OBxOWlrarFmzaDRab3sCAAAAYKSpqJev/eLo+Rt3zJbf7PpGJhEnjIl4aen0aGHgve4dJIhE4rz0sfPSxyKEDEbToQtF569XVElVZpdJBHpDx7nronPXRc/9Y3cgx3dyQsSzT6TOnRzvuagBAGAQwTkGpjgpGHBRUVFVVVWfffbZq6++6ulYAAAAAHB/KpXql23kfl0xZ7c7juSVvvXvgw3K3wy543AoiOe3cu7kJx9L6e/AelgDX+qyBv6hVUqV+05dv15Wq9C2OrqrwEfA4wT+rMmJ4c/MTp0zMfbRPxEAAIaoQTcCDwAAAAAAEEI1jerdJ6/vOlXglrpTyKTpKVGvZ8/icXw9FVvfigrhvrdmAULIarWfvVZ+4kppeU1Ta7sJ/TLJ3mZ3SJVa6Vnt3rOFWDI/JSliZeaEx1KjPBo4AAAMNEjgAQAAAAAGkVZj58mjP+8+VfDzrTrXmZI4hIR8znNZU+ZNG+vB8PoVkYifM3XMnKljEEKtbabDOUW5haIqqdLYYXb2wZL5H05rfzh9g0jApyeNfn7BxJnjojhMuucCBwCAAQIJPAAAAACA55kttjMFlQcull4oqu20WF0vTRwTtnJOWnRkiC/Ny1PhDTwGnbpy/uSV8ycjhDQtbUcuFl8uqa6WqoymTmcfq81+obDyQmElHo8bFxOaOTF23uT4sZFBUPQXADBcQQIPAAAAAOAxDofj51t1P5wtPHChWNtqdL0UzGVlz05dMWdCVEgAQuiWVOOhGD2P7Ut/ftG05xdNQwhpWtoOXyzOK6qqblCZOu+OzNvtjoJycUG5eMPXJ4MCmAumJiyclpCePJpIgDr2AIBhBRJ4AAAAAAAPuF0r23u2cO/ZQulvl7jTqOQlM5NWZE6YNnYUHg8jye7YvvTfLZr2u0XTEEJBTK+coqpz1++cuX7HWSmgUaX/z095//kpz4/hvWBqwuIZYx9LjSaTCB6NGgAA+gYk8AAAAAAAA0ei0O49W/j/zhXdrpW5thMJ+GljwxdOjp09PnJUeKinwhta/BjeT84Y++SMsQihspqmEz+XH7tcduOOxG53IIS0rcYdJ/J3nMhn0r3mTx3z5IykWROiKST49gsAGMLgjzAAAAAAgH6n1Bp+vFiy73zRtbJ6t018J8QJl89OfWpmErJ0YNvIgYcwZpRgzCjB2pWPKzStRy+XHcq9mVtcbbHaEEL6to7dpwp2nypg0KjzpsQvnj728Qkx3lSyp0MGAIBegwQeAAAAAKC/6AzGw5du7TtflFNYZbPbXS/FCHnLZqU88/i4CAEHa1GpOjwR43DDYzNezJr8YtZkncF4NK/sp5ySCzcqsbqAre2mH84U/nCm0JtKnp0Wk5WeOGdSHMvH29MhAwDAg4IEHgAAAACgj2Gp448XSy4UiswWm+ulYC5r6czkZx4fNzYyyFPhjRAsH+9Vcyesmjuhpa3j2JWyHy+WnC+oNJktCCGjyXwot/RQbimRgJ86dtT8qWPmTYkP53M8HTIAANwHJPAAAAAAAH1DpTMcvVx2KLf0YmElNnnbyZ9JfzIjadljyZMTIqA03QDzpXs9+8T4Z58Y39puOvlz+aHcm6fzK9o7zAghq82eU1SVU1T11r9+ig3jzZ0cP2dS3MQx4VC+HgAwOEECDwAAAADwSKqkqqOXy45dKbtWVoeVT3Ni+XgvnJaw9LHkjHFRkBN6HINGfXpWytOzUjo6LecK7hzNKztx9bZa34ZdrahXVNQrPvn+PMvHe9aE6MyJcY9PiOH6+Xg2ZgAAcAUJPAAAAABAr3V0Wi7frDmTf+fkz7erG9RuV7ENzJ7MGDtzHGxgNhh5UUgLpiYsmJpgs9vzy+qPX7194urtinoFdlVnMO4/X7z/fDEejxsbGfREWuzjE2LS4sPgJxgAgMdBAg8AAAAA8ECsNnuRSJpbXH2xsPLnW3UdnRa3DoFsxvypYxZNHzs9eTSJCHn7EEDA4ycnRkxOjPjw5YV1suaTV8tP/lyeV1KDLZW32x3FooZiUcOmHWd8vCnTUyIzxkXNSB4dFx6Iw8E6CACAB0ACDwAAAABwT836tht3JAXlkqu36grKxW0dnV37JIwSzJ0cN3/KmNTYUMjrhq5wPufVp9JffSrdaDJfLKw6nV9xJr+iXqbBrhqMncculx27XIYQ4jDpkxPCJydGpMUJk6KCvSgkjwYOABhBhkACf/ny5Z9++kkmk5nN5oCAgO3bt3s6op5UVFSsXbsWO37nnXemTp3q2XgAAAAA8OBsdntdk6astul2rby0uvFmVaNEoe22J5PulTEuanZazOy02KAA5gDHCfqVN5U8b0r8vCnxCKFKqepMfsW566K8m9VY3TuEULO+7UjerSN5txBCRAI+WshLigyKj+DHhwdGhnBDeX5QpxAA0E8GewJ/+/btTz75xHlqsbjPVQMAAAAAeDgtbR3VDaoqqbpSoqhqUIskyiqJEtswvFsMGnVyQsTUpIgZyZHJ0cEEPKyIHv6iQgKiQgJeWzrdbLHl367HStYX3pFic+wRQlab/Xat7HatzHkLhUQM47PD+BxhoF8Izy8ogBnCZQkCWHyOLxREAAA8osGewF+9etV5HB4eLhQKPRcLAAAAAIYqi9VW29RcKVFWSVXVDSrsn0qtoee7sMHV1JiQ1FjhxHhhbHggJO0jFplEmJY0alrSqL+/MMdkthTdkV67LS4oFxfekUiVOteenRarSKIUSZRuT8DhcDw/nyAuS+DPDOGyQgP9Qnl+wkB2GJ/tS/cawFcBAAxhgz2BV6vvlnWlUqlbtmwhEAb7z5Z+fn7z58/Hjvl8vmeDAQAAAEYmbauxUqIUSZRVUqVIoqyUKOuamq02+31v5HN8Y8J4cWGBceGBiaMF8RF8KhmWNwN3VDIJK32HnWpa2m/VNN2uk9+pl1dJVTWN6iZ1i8PhcLvL4XDINa1yTesNJHG7xPalhQs4EQLOqCD/UcH+o4MDIgQcDpM+EC8DABhSBnsCb7ff/buWRqMN/uwdIcTj8X7/+997OgoAAABgpGjvMNc1qasb1TWN6mqpqqpBXSlRNv+ys3cPvCik0cEBkSEBo4P9I0O40aHcyJAAGAgFD4HtS5uREjkjJdLZYjJb6mUaiVzboNI1qfQShbZJ3SJT66VKndFk7voETUu7pqX9RsVvEnuWj3dEkP+oIE6EgBMm4ITzOUI+W+DvC9NAABjJBm8Cv3Xr1tzcXOepRqNZsGABQujQoUPOTL6iouLYsWMNDQ0qlQqPx3M4nODg4Llz58bFxTlrwP7444+7du3Cjnfu3FlfX79nzx6JREImk6OiopYtWxYdHW0ymX788cfLly83NzezWKzRo0dnZ2cHBQW5hSSRSA4dOiQWi+VyOZFI5HK54eHhCxcuDA4OdvYpLi5ev349drxu3brU1FSEEBb5vcTHx2/atMl5qlKpjhw5UlJSgr0Ul8tNTU3NyspiMBgP8a8RAAAAGB7U+jalplWq1DUodY0qnViuFcs19TKNQtN633vxeFwoz290cACWpUeGBIwODggKYELFeNBPqGRSjJAXI+R1vaRpaW9S6yVyrVihlSq0YrmmrklTL2tubTe59dQZjIV3JIV3fpPVk4gEgb9vUAArlOcn8Gfy/X0F/kwemxEt5LJ8vPvxlQAAg8PgTeDva/v27cePH3dtkUqlUqn06tWrixcvXr16dddbTp48uX//fmxGk9lsLioqKikp+dOf/rR///66ujqsj0qlUqlU+fn5W7ZsCQ8Pd9578ODBHTt2uD7NYDDU1NScO3du+fLly5Yt65OXunbt2pYtW8zmX3+alUgkEonk9OnT69ati4mJ6faukydP1tbWujVSKBQqldonUQEAAAAepNQapr/0aXWD+gH7070oo0MCokICokK50aHcqFDu6OAA2OgLDBJsXxrbl5YwSuDWrta31TaqaxrVNQ3q6gZ1TaO6plHd0tbh1s1itYnlWrFce6X0N9/96F6U/G/fiQ7l9m/0AABPG7wJ/OzZsxMTE48cOSIWixFCNBrthRdeQAjh8XiE0JUrV1yzdx8fn87OTmfee/DgwbS0tOjoaLdn7tu3z63Fbrd/9NFHXT/dZrN98803H3zwAXZ6+/btnTt3Oq+y2WwSiaRUKh0Oh8Ph2LNnj1AonDBhwr3ehc1mu7UYDAZntM6f/+vq6jZv3myz2RBCBAIhLCzMbDZLpVKEUFtb24YNGz7//HMOh9P1+Tk5OTk5OW6NZDKZQqHcKyQAAABgqCgoF98re6eQicFcVijPD6sHFsZnh/L8Ajm+bt3kmpb+D7MPaDQ6q9WKEDIhcterjSr9gEf0C2s3s74xjSrdvS4NADrRfZ35kBbg5xPg5zMp4dcBJF2rUaLUSuW6BpWuQaltUOllar1C02qzub94W0fnnXoFJPAADHuDN4GPi4uLi4u7evUqlsBTqdSZM2c6r+bl5WEHLBZr06ZNAoHAarXevHlz48aNWHtFRUXXBN7X1/ePf/xjdHS0WCz++OOPDYa7tWeZTOarr74aHR1dX1//8ccft7W1IYQqKysdDgeWXefn52Pj9lgtPWzOvEwme/fdd7VaLUIoNze3hwT+u+++cz2tr6//85//jB3j8filS5dixzt37sSyd29v748++ggruV9SUrJx40abzWY0Gvfs2fP666/39t8kAAAAMKQ9Nj56+exx+88Xd61C12m21jSoax54cB48nB6qEC147d8DFwe4BwIe/+eVs7CN6wEAw9tQrYFBpVKTk5OTk5OXLVsmEAgQQkQiMTEx0bk8XqFQdL1r1apV48ePZzAYCQkJrj8HrF69GmtPTEycMWMG1mg2m1ta7v5gL5H8uvrI+RF8Pn/lypWzZs2aNWvWgxec1+v177//vsl0d5nTCy+8kJiYiBAyGo0lJSVYY1ZWlnPDvKSkpFmzZmHHeXl52A/zAAAAwMjhRSHt+vsqH29YFwZA90hEwsYX55GIQ6DeMwDgEQ3eEfievfXWW85jg8EgFoslEklBQQE2gn0vUVFRzmMajdZtO53+644dzv0/WCwWdmAymV566aWoqKiUlJTk5OTp06dnZGQ8eNgWi2XTpk3OvfFmz549d+5c7Fgmkzm7GY3GCxcuOE+dL2WxWJRKJfaDBQAAADCiTEsa1dbR6eko+pcIGnBLAAAgAElEQVTZbMa+e8AiONArZOJQ/UoPAOitIfz/9oaGhuPHj5eUlHQ72N6te/11eN+/JrOysgoLC7Gp9Q6HQyQSiUSiPXv2+Pj4pKSkZGZm3qu8nCuHw/HFF1+IRCLsNC4ubs2aNc4F8HK53Nnz8OHD93qIXC6HBB4AAMAI9P2G1XfEiiqJsrapWd5sUOlatQajod1k7DC3mTptdrup04IQslhtNvtvZtpTyGQcciCEqBQSHocjE4kUEpFCJlLIJCqZSKUSKUQinUZFCLF8vEmEu5MTGTQvb5e6d2p9m+tjLVabrkt1MScvMtHHm0oiENi+ND9fmj/TJ5jHDOOzfWn32aNOpVJhU+0efGYfAACAEWWoJvCXL1/eunWrc2iaSCQKhcKEhISTJ086Z6f3ofDw8G3btp04ceLixYs63a/FWgwGQ25ubm5u7urVqxcvXtzzQw4dOnTx4kXsOCAgYO3atUSXn0sfMGzn6L2rv/zlL2+88YZb42OPPeZc5A8AAAAMFXUyzc+3am9WNVZJVY0qvVJnaG03mc0Wm/0hy5UZTZa+jfCh4RAiEQlUCtnXhxrA9AkJ9IsJ4Y2LDZ6WNIpJhw3AAAAA3N+QTODNZvOXX36JZe+hoaHZ2dkpKSkkEslms/Uwdv2IOBzOqlWrVq5cWV1dXVBQcP36ddeF8bt3705PT+9abd6poKDAWceeSqX+7W9/8/X9TY1c19/aN2/e3LUCXw/8/Py6NtrtdrvdvdgPAAAAMHgYTeYLhZV5JbW3qhvrZGqVrs1osjjXrw0/DoTMVpvZ2tHa3tGg0BWJpId+uUTE4xk+XoF+9NFBnNQowfK5XsFclidjBQAAMCgNyQS+sbERm82OEHrqqafS0tKwY5FI1B8pq1ardf4ukJ6eHhkZGRkZ+eyzz8rl8m+++aagoAAhZLPZJBLJvRJ4iUTyz3/+0/mN5M0333TWqHNyTeBra2tdE3ibzWax3B09IJFIzip6AAAAwNBS3aA+lHsz72aNSKyQawyd5gcdG8fGrslkEt2bwqB5+dCoLAaN6ePlx6AxaF5MHxrTx5tMIfgxaBRyN99tNC3tZovVZrNrdO0IIW2rwWZzaFvbd96QIpsN4RCy2xFyIIRwNjtyoET/7gvm4XA4AgFPIhEJhLsr4Egkgt3mIJOIFDLR0G5yTrM3mcxWq93YaTaZrZ1mi8ls6TRbrDa7/R7zCKx2u7alXdvSXl6vPHy5/K9fnyUS8GwmPTokYFJC+IKpiamxIQ/47woAAMAwNiQTeNdK7EVFRUlJSXQ6XSwWf/HFF/3xcXQ6/dixY9iAf3V19dq1a7HBc39/f9fl6Fxu9xtvtrS0/OMf/3DOkM/Ozp44cWLXbkwmMywsrL6+HiF04MCB5OTkwMBAhJDZbN62bRu2bZ63t/fXX3/tWmYPAAAAGMz0bcZ954pPXqu4Vd0ob27pug+cGxwOkckkJs0rwM+HH8AKC+JEhfKiQgN5XbZ27xWBf/ej2Tsq9ru1YOn1jveXPsrH9cBqtdc1qWukytpGtVimlql0al2bwWiyWN2r8FptdqWmValpvVRS8+HOswQ8jsOkx4YHZqRELn9ifCiMzwMAwIg0JBP40NBQAoGAZdQ5OTk5OTlUKtVtDXkfDsWTyeSJEydeuXIFIVReXr5ixQomk0kmk9VqtXNQPSAg4F71Zs6fP69SqZynZ8+ePXfunGsHPB6/fft2HA63atWq9evXI4S0Wu3LL78sFAqtVmtTU5PzB4ulS5dC9g4AAGCQa1Lrvzl27cy1igqxwtDeU4UXAh7vQ6MG+jPDg/zjwvmp8eERQf4DFqdHEIn4yFBuZKj7j/6dFktRubSwou5OvUIqb27Wt1t+u3Gsze5Qag1KrSGnsGrd/45TyMRQnt/kxPAnM5KfmHD/SroAAACGhyGZwFMolBUrVuzYscPZYjKZcDjc8uXLz58/r1QqEUI1NTV2ux2P75uN7l977bXm5mZnAXm9Xu96lUajrVu3zllP3o3bWr6uVeicQSYnJ69Zs2b79u0Oh8Nms9XW1rp2y87OXrRo0aO8BQAAANBPWo2mb478fDD35q1aWbvxnpu9kUlELpsxOoSbEiOcNi7yXgPjIxCFRJo0NmLS2AhnS1tHZ15h1bWymjt1Mpm6xdRpdu3fabZWSVVVUtV3x/LxeBzPjzE+TvhUxthFM8bCjmIAADCMDdU/4hctWsThcI4ePdrY2Ein02NiYjIzM2NjY+vq6rAEvq6u7tKlSzNmzOiTj6NSqR9//HFxcfHZs2dlMplWq+3o6PDz8+NwOGlpabNmzXLdVf5RzJ07Nz4+/tSpU/X19VKpFIfD+fv7x8XFZWZmBgcH98lHAAAAAH3l9PU7Xx++euVWrUbf1m3tOTwO58ekRQv5U5JGPzYhzs8Xaq0/KLoXZc7UMXOmjsFOOzrNF69X5JVUV9TKVVq9xfrrTEO73SFrbjl8qfTwpVLc33cG+PlMiAt7elby4ulJRGLfjGQAAAAYJHDDuNbrCBcVFVVVVfXZZ5+9+uqrno4FAADA8NHeYd5x4tpXh69WSpWuaaQTHo/jcXyTokOfmJwwOTGia4fBI/Fd9zXwmNJN/bUGvq/UydSn8m5dv11X39Tc3tH9lAc8Dsf39/3dgslPzUyK7jJpHwAAwFA0VEfgAQAAADCQqqSqU9fKT1+ruHyz1tSlejwOh9i+PkkxIfPSx04dO9ojEY4o4Xz/V56e+QqaiRBqbTOduFyaU3in8rdFB+wOR6NKv+HrExu+PiHwZ2aMi5yZGpUxLor/aBUBAQAAeBAk8AAAAADoXltHZ05h1Znrd87m36mTNXftQKWQooW8JyYnZM1IIpPgS4VnMOjUZzInPJM5ASFkNFmO5908n19eKVEY2jt/KauPmtT63acKdp8qQAjFCHkzU6MyxkWmJ432pXt5MnQAAAC9BH/XAgAAAOBXVpv9RoXkQmHlhRuV+bfru25vxvLxnpIUQfP2Xjxz3KjgYV40fsjxppKWPp669PFUhFBrm0mhUN2sarxQWFksanDuUX9HrLgjVnx+4BKRgE+JDsGG5dPihVQyyaOxAwAAuD9I4AEAAICRzmK1FYmkeTdr8kpqrtysbeuyphqHw42NDHoiLeaJtNi0MWEEPP6WVOORUMGDY9CpUzKSlmQkvY/m69s6LhVXXyysvHCjUiRRYh2sNvv1cvH1cvGmHWeoZNKkhPDpyaNnpESOiwkhEQmeDR4AAEC3IIEHAAAARiKl1lBQLr5eLr56q65IJDWazF37BLB8ZqZGPT4h5vEJMVw/n4EPEvQVJt1r4bSEhdMSEEJNav3FwqoLNyovFlbKmluwDiaz5WJh5cXCSoQQzYs8aUx4evLoaWNHjYsJJZMgmQcAgMECEngAAABgRFBoWkurG4srG4srpUV3pFKlrttudC/KlLERM1IiH0uNShglwOFwAxwn6G8Cf+aKzPErMscjhCrqFTlFVRcLK/NKanQGI9ahvcN8rkB0rkCEEPKmklNjQ6cmRkwcE5YWHwZr5gEAwLMggQcAAACGofYOs0iiuF0rr6iXl9Y0ldU0KbWGe3X2Y3hPHBM+JTFi6tiIcTGhRAJsHj5SxIbxYsN4ryyZZrPbb1Y15hZX5xZVXymtMRjvLqMwmsyXiqsvFVcjhPB4XIyQNyFOmBYfNj42NCaMR8DDfyoAADCgIIEHAAAAhjydwVglVVXUKyoliop6xR2xQizXOhyOe/UnEvCxYYHjY0PHxwnT4sNihFwYaR/hCHh8SnRISnTI/y2fabXZSyob8m7WXL5Zc7W0zjkyb7c7yuvk5XXyb49dQwjRvMhjI4NTooLHRgYlRQZFC3mwch4AAPobJPAAAADAUGK3OyQKbZVUKZIoq6QqkUQpEit6GF3HUMmk2HDe2NFBYyODkqOCE0cHeVGg5DjoHpGAT40NTY0N/b/lM+12xx2x4kpp7c+36vJv19c2/bqbYHuH+Wpp7dXSWuyUTCLEhgXGh/PjI/jx4YHRQl4ojwU/DAEAQN+CBB4AAAAYvFrbTdUNqkqJSiRRVElV2P9MZkvPdxHw+HABOz6CHyvkxUfw4yP4o4MDYGI8eAh4PC4uPDAuPHDNoikIIZXOcP22+MYdyY0KSeEdqXNwHiFktthuVjXerGp0ttC8yFGh3KgQbrSQFxnsHxkSEBHkT/eieOA1AABguIAEHgAAABgUzBZbvVxTLVVVSpU1DeqqBlWVRCnXtN73RiqZFBkSEBXKjRFyo0N50UJuVCiXQoK/4kHfC2D5zJ86Zv7UMdhpnay5WNRQUtlQWtN0q7rJWdMe095hLhY1FIsaXBv5HN+IIP9RQZxwgX+EgDMqyD9MwGb5eA/cOwAAwFAGf7sDAAAAA81ssYnlmtomdW1jc02jurpBXdOgkii0Vpv9vvfy2IyoUG5USEBkCDdGyB0dEiDksfF4mKgMPCCczwnnc5ZkJGGnmpb2WzVN2Dr5O2LFHbFC09LudousuUXW3HL5Zo1rox/DO1zgHy5gh/M54QJOuIATxmcHB7DgP2wAAHADCTwAAADQj1Q6g0SurZdp6uWa+qbmOpmmrkndoNTb7PfP1alk0qhg/6iQAGyAPSqEGxkSAPt4gUGL7UubkRI5IyXS2dKsbxNJlJUSZXWDqrpBXd2gqm1s7rRY3W7Uthq1rZLCOxLXRjKJIAxkh/E5EQJOGJ8dEcTB0ntvKnkgXgYAAAalwZ7At7e3P/PMM91eolKpAoEgODg4KysrPDx8gAMDAAAAnKw2u6y5pUGhlSp1UqWuQamTyLUShVai0LR3mB/kCQQ8PoTHGhXkHxkSEBnCjQwJGB0cEMKFEUgwtHGY9ClM+pTECGeL3e5oUOnqmpprm5rrGptrm9S1Tc31Mk1LW4fbvWaLDSv64NbOYzPC+HfH6sP4bOyffI4vFMwDAIwEgz2B74HJZKqtra2trb106dJTTz317LPPPsRDjh492t7ejhDi8/np6ekPF0mfPAQAAMAgZ7c7FNrWRqWuUa1vVOmxgwalTqrQKTStDzKijiERCSFcVriAExF0dw3wqGD/cAEHVq2DkQCPx4Xy/EJ5fq4D9QihZn1bvUxTJ2uubWyul2FzVZqb1Hq73X03RIWmVaFpvVZW79pIIRGFgX6hgWzsnyFcVijPLzTQj8dmwGb1AIDhZDh8V3A4HPv374+Pjx87dmxv7z169KhKpUIIjRs37lES+Ed/CAAAgMHAZrcrtYYGpa5JrW9U6Z0HjUqdXNNqsdp69TQemxHK8xMGssP4bCGfHRbIDhOwQ7h+UBAeADccJp3DpKfGhro2dlqs9TJN/d2s/tf0vqPTfSOGTou1Uqqq7DJcTyIS+BxfQQAzOIAl8PcN4rL4HF8+xzeQ48tjM2AzRQDAkDOUEvjQ0NA333wTO7ZarU1NTQcPHpRI7i6X2rlz50Mk8AAAAEYgq82u1LY2KHVN6pYmtd41XZc3tzxIJTlXFBIxmMsSBDCxQb9gLiuE5xfMZQkD/ahkSA8AeHgUEjE6lBsdynVrl2ta65ua62TNdU2aellzvUwjlmtkzS1dh+stVptEoZUotN0+n0n3CuT4Bvj58Dm+ASyfAD8fnh/Dn0UPYNED/Bj+TDpk+ACAwWYoJfAUCsV1rXtkZGRycvKaNWuMRiNCSCKR2Gw2AoHguQABAAAMFg6HQ6VrU+sMjSq9UmtoVOtV2tYGpV6uaWlS6ZVaw4PPeMeQSQSBP1PgzwzmsoICmAJ/ZgiPhbXw2Ix+egsAQLcC2YxANmNSwm9KIJktNolCK5FrJAqtVKGVKHQShbZRpWtS682W7ufO6Ns69G0dd8SKe30QzYscwPIJYPlwmHQOk8Zm0Dgsuj/Th+NLY/vS/HxpbF8am0GDWhUAgAEzlBL4rnx9fUePHl1aWooQslqtKpUqMDAQuySRSA4dOiQWi+VyOZFI5HK54eHhCxcuDA4Oxjps3bo1NzfX+ajCwsIFCxaMGzfuvffeczZWVFQcO3asoaFBpVLh8XgOhxMcHDx37ty4uDisUErPD/n+++/379+PXdq7dy+NRnP2XLduHRa2QCD48ssvXV/qvpEDAMAIZ7bYNK3tulajtrVd29rerG9X6Qyalna1rk2tb5M3t6h1BpWurbcpOkKIQiLy/X1dk3PsgO/PDIQsHYDBjUwijA72Hx3s79bucDgUWoNMrW9S6xuUeoWmpVGll2ta5c0tCk1r143uXLV3mOs7NPUyTc8f7cfwZvvSWAyaH8Pbj+HN8vFm+Xgz7/7Ti0n38qV7MehUlo+3L80Lsn0AwKMY2gk8QohMJnc9Pnjw4I4dO1y7GQyGmpqac+fOLV++fNmyZQ/y5O3btx8/fty1RSqVSqXSq1evLl68ePXq1Y8Yebf6JHIAABjqDl8qLa9XtBs7dQZja7uptd2kbzO2tJla2zt0BuMD1nW/Fy8KKSiAGcjxDQ5gYQehPD8sb4exdACGHxwOh43Yp0SHdL3aabGqtAZ5c4tK16bWt8maWzT6NrW+Tak1qHQGjb6tuaX9vsUvtK1GbasRIfWDxOPjTfHxpjJoVJoXhenj9Vhq9DvPPvYwLwYAGJGGdgJvNpvr6uqwYyqV6ufnhxC6ffv2zp07nX3YbDaJRFIqlQ6Hw+Fw7NmzRygUTpgwYfbs2YmJid9++63BYEAICYXChQsXcjgc7K4rV664Zu8+Pj6dnZ1m892vjAcPHkxLS4uOju75Ib31gJF3vfGdd97Jyclxa/Tx8fH19X24SAAAwIPO5Fcs+cvXj/IEbyqZ58fgsn14bAaf4xvgxwgOYHL9fIICWIEcXz+Gd1+FCgAY6rAaFsFcVg99tK1Gtb5No2/TtLQ3t7Sr9YZmXZumtV3T0q5pade1GjUt7ZrW9q4r8LtlMHYajJ2y5hbs9MKNygXTEqJCAvrgZQAAI8BQTeAtFotCodizZ49Gc3dS0+jRo7Fp7fn5+Q6HAyFEpVK3bNmCzTyXyWTvvvuuVqtFCOXm5k6YMCEuLi4uLm7v3r1Y7s3hcGbOnOl8fl5eHnbAYrE2bdokEAisVuvNmzc3btyItVdUVERHR/f8kN56wMgf+vkAADAkUMkkHA6H/XnohkQgkMlEColIIREpZCKFRKSSiVQKiUomUclEKplEpZK8yWQi8dca72aLrVGpa1TqBvANRgRtm8nTIfQBvFrebfsHXx0b4Ej6iR+d6ukQhi0ykRjI9g1k/zpYYrZYTWZrp8XaabaaLb8cWK1ms63TajVbbGaL1Wyxmi02i9Vmsd0d1Y8MCQjyZ3roJQAAQ89QSuCrqqoWLFhwr6vOfeCddekRQs6adnw+f+XKleXl5QghJvP+f0pSqdTk5GSE0Pjx4wUCAUKISCQmJiYSCASbzYYQUijuWe/kofVJ5AAAMNSlJ4/O+++b6X/41N4lh7fYbJYOW3tHp0cCA8PPvdYi/3ShaEDjACNVwijB9W/fIRGhBjMA4EENpQS+B1lZWTExMdgxi3V3EpTJZHrppZeioqJSUlKSk5OnT5+ekZHxgA986623nMcGg0EsFkskkoKCAputdzsA90qfRA4AAMPAxDFhOBwOdTcIDwAAwwaZRITsHQDQK0M7gcfhcEFBQdnZ2ZMmTXI2ZmVlFRYWtrW1IYQcDodIJBKJRHv27PHx8UlJScnMzHSm+j1raGg4fvx4SUlJfwy2d6uvIgcAgGHg1L9ehvwdjDR6vR4bKmCz2QP2oTabQyRVNCp1re0muheF5UMTCvx4flDQcSAwaLDGAQDQO0MpgQ8JCXnjjTecp3g8XiAQUCgUt27h4eHbtm07ceLExYsXdbpfFz0aDIbc3Nzc3NzVq1cvXry458+6fPny1q1bnePtRCJRKBQmJCScPHnSZOqvVX8PHXlCQoJzyr3T6dOnLRZLP4UKAAD9LWNclKdDAGCgqVQqq9WKEOLz+f39WRKl7t0vjpy/IdK2tHf9rQyHEIVM8vP1Dg5gRYYEjIsJmZUaHRnK7e+oAAAA9GwoJfBUKnXUqFEP0pPD4axatWrlypXV1dUFBQXXr193XV6+e/fu9PT0Hn7bNpvNX375JZa9h4aGZmdnp6SkkEgkm812+PDhhwse+/vYyWg09mHkK1as6PqoQ4cO3etTAAAAADBi3appev4fu0trmnqY5OJAyGS2yNQtMnXL9XLx7lMFCCE8Hsdm0MeM4j89K2Vl5gTXapEAAAAGxlBK4B+EVqt15tjp6emRkZGRkZHPPvusXC7/5ptvCgoKEEI2m00ikfSQwDc2NmLz2BFCTz31VFpaGnYsEonsdvuDB0Ol/jotqqmpybmpm0ajEYvF/RE5AAAAAMC9tLR3LP3LNxcLK10zdxwO2ak0RCQihEfIgew2ZLXirBZks7rdbrc71HrDxcLKi4WVL328Nz6cv+75zKzpiQP5CgAAMMINtwSeTqcfO3YMGzyvrq5eu3Ytljb7+/tjxeQxXK77HDDndnTot6PlRUVFSUlJdDpdLBZ/8cUXPX+660PQb+e/ffXVVy+99FJAQEB9ff13333XdXL7Q0cOAAAAAHBfm3efW//VCbP113K8fH/m8sy0pY+PS3nvYDc32G04i+XZBP+aBnWTUtfc2tbZ+eu3F5vdUVrTtOTdr1k+3mtXzvq/7McG4BUAAAAMtwSeTCZPnDjxypUrCKHy8vIVK1YwmUwymaxWq51bCgcEBDhTaxaLpVKpEEJisXjz5s1jxozJzMwMDQ11bheXk5OTk5NDpVLdlr67DsV3+xCEUExMjPPG2trat99+uw8jBwAAAAB4EEUi6VN/+Uaq1DpbAjm+619elBor7Ok2PMFBIby9KtPZYDKbz+dXnM2vKBVJDca734t0BuOfvziyaefZf/5x0XPzJ/bLCwAAAPjFMFy89Nprr0VHRztP9Xq9SqVy5sA0Gm3dunU43N2dX1NSUrADh8Nx5cqVGzduIIQoFIrbqnKTyYTD4bKzs50D4DU1Nc4cvtuHIIRYLFa3q9MTExNjY2MfMXIAAAAAgJ4169sef+3ztOc/cWbvZBLxL8/NOfH5m/fJ3rtDJZPnTRu77U/LL3279oeP1qTGh+F/+VrS0tbx+w9/CFv83s9ldX0YPwAAADfDbQQeIUSlUj/++OPi4uKzZ8/KZDKtVtvR0eHn58fhcNLS0mbNmkWj0ZydlyxZYrFYLl26pNFoXPd4X7RoEYfDOXr0aGNjI51Oj4mJyczMjI2NraurUyqVCKG6urpLly7NmDGjh4cghObPny8QCA4ePCiVSo1GY2BgYEZGxoIFC9avX/+IkQMAAAAA3ItK2/bSJ3uP55XZfhkJwCE0JTny4zeWUMnkR39+tDDwf39b1WYy/2P7kQv5FXa7AyHUoNBNW/OvyQlh+zf9jgsb0QEAQD/AOWCb3WEqKiqqqqrqs88+e/XVVz0dCwAAAADur0+2kbtUUv3uf44VVNS7fsUL5PhufmNZ3KjuH5v47v57Pa1009L7fqK+1bj2sx9vlNU5P5CAwy1/Yvz//vI0mTgMx4oAAMCD4E9VAAAAAIAhr16uef/b00fySvWGDtd2H2/qWyseXzgjuf8+msnw/u9fV1ZKlX/eul+q0CCEbA7H7lPX958v+vCVBa8tndF/Hw0AACMNJPAAAAAAAEOVVKld/9XJk9fKm3Vtbpf8fOkvPpm+9PHUgYkkKoR7+F9/PHWl7MNvj7cZOxFCnRbrW/86uPds0foX5sxO66b6DwAAgN6CBB4AAAAAYIjRtLQfuFD848WSS8U1DvSb5ZAEPD42nP/y0xkT4sMHPrDMKWMyp4z5fO+F70/+bLbYEEI3KiRz3/pyfJzwb889MWdS3MCHBAAAwwkk8AAAAAAAQ8al4ur//JR37EoZlh474XC4EB5rfnrSynmTiESCp8LDvPrMzJeWTr9xs/qTPefqZRqEUEG5eMHb/02JDnnvd5lzJ8d7NjwAABi6IIEHAAAAABgCzl6/8/evTtyokLg2cpj0UUGccfER2XPSKGSSp2LrikAgvLho8up5abtOXf9o5xmxXIsQKhJJF77zv/Fxwg/+MH9GSqSnYwQAgKEHEngAAAAAgEFNJFG+8emP5wtEzhYfb8qSjKTls1OnJY0i4PG3pBoPhtcDMonwwoJJq+ZM+P70jQ93nKmTNSOECsrFs/742ey02E/+mBUbFujpGAEAYCiBBB4AAAAAYJCyWG0f7Tr70c6znRYr1hLGZ7/5TMbKORPoXhTPxvbgSETCc/PSVmSO332q4IPvTmGj8WfyKy7cEL2yJP3vL8xh0KiejhEAAIYGSOABAAAAAAajinr5yg27blY1YqccJn39C3N+t2ASydNL3B8OkYB/bl5a9uzU/x2+8sF3p5v1bVab/d/7cg5cKP70zSVPzhjr6QABAGAIwHs6AAAAAAAA8Bt2u+PTvRfHP/cJlr3jcLgXFky6s2/dHxZPHaLZuxOZRPjjU+mi/e+9vmwGkYBHCMmaW5b99ZtFf97eqNJ7OjoAABjsIIEHAAAAABhEJEr9zFe3vfPZIZPZghAK4bLO/PuV/659huXj7enQ+gyT7rXl9cWFO/48KeHuXnfHLpclZH/w5cHLdruj53sBAGAkgwQeAAAAAGBQsFjt/zl87fG3vr58swZrWZE5vmT3XzLGRXk2sH4SH8G/9OUb//nT0750L4RQa7vpj//cP+0Pn5bVNHk6NAAAGKQggQcAAAAA8DCHw3EotzTj9f9+9H1uR6cFIRTA8vnxwxe+W7cCS26HKxwO92LW5LIf/rpwWgLWkn+7PvW5zW/96yedwejZ2AAAYBCCBB4AAAAAwGPMFtueMzdSVn381Ltf1zbd3Q0ue3bqrT3vZqUneja2AcPn+P700e9//PAFgT8TIWS12bftz41Z9o/PDlwyW2yejg4AAAYRqEIPAAAAAOABt2tlu05e//70DZXO4GyMDg1Y/9xjS9/Y65UAACAASURBVB6f6MHAPCUrPXFmavSGr098fuCS1WZv1re9+emP2/blvLv6iWefSB3q1fsAAKBPjKwEPj8/f9OmTa4tixcvXr16tWuLyWRatmyZw/FrARUej7d9+/a+imHr1q25ubkIISqVun///r56LAAAAACGhNqm5v3ni/edL7pdK3NtjwoJeGXxxAWTYvB4nKdi8zgfb8o/X1v8/PxJ73x26Ex+BUKoXqb5/aY973976s1nMp6bN5HmRfZ0jAAA4EkjK4HvqrKy0q2lurraNXsHAAAAAHh0DUrdgYsl+88XF96RuLbj8biMcVEvPzl13uQxzc1qq9XqqQgHj9gw3omtL10srPzrf4/dqJAghCQK7Ruf/rjh65PPz5/44qIpEQKOp2MEAADPGOkJfHV1tc1mIxB+nZTVNaUHAAAAAHg4jSr9wdybBy4U598Wu40QRIdyl89OzX4iNZTn56nwBrOMcVHXvo46+XP5B9+dvl4uRgjpDMYtP1zYuvfijJTIlXPGZ6Un0r0ong4TAAAG1EhP4M1mc319/ahRo5wtVVVVHowHAAAAAEOdw+G4VdN08ueKo5dvFd6RuuXtYXz20pnJSx9LThwd5KkIh5A5k+LmTIrLK6n59P9dPHH1tt3ucDgcFwsrLxZWelP3PZEWuzA9YfaEGA6T7ulIAQBgIIzcBJ5Op7e1tSGERCKRM4F3OBzYCLy3t3dHRwfMpQcAAADAA6qUqq7crLlUUn2xsEqhaXW7GhTAXJKRtHRmcmpsKA43cle5P5xpSaOmJY2qkzV/ffjnnSfzlVoDQshoMh/MvXkw9yYej0uKDJ6RMnpyQkTamDB/SOYBAMPXyE3go6KiioqKEEIikWjevHlYY3Nzs06nQwhFRkbeunWr2wRepVIdOXKkpKREpVLh8Xgul5uampqVlcVgMNx6dnR0/PDDD/n5+RqNxtfXd/z48dnZ2d0G8/333zsL2u3du5dGozkvrVu3rrS0FCEkEAi+/PLLR31tAAAAAPQFh8NRL9fcqm4qrW4qvCMtqBBrWtq7dgvl+WWlJz45Y2xafNhIrk7XJ8L5nE0vL/jHH+adyb/z/emCE1dvt3eYEUJ2u6NIJC0SSf+55wJCSBjolxQVnDBKEB/OjwnjRQg4UMEeADBsjNwEPiQkpKKioqOjQyQSORudC+Cjo6Nv3brV9a5r165t2bLFbDY7WyQSiUQiOX369Lp162JiYpztTU1NmzZtamhowE41Gs2pU6dKSkr4fH6fv0tOTo5UKnVrJJPJFAosDAMAAAD60s+36j7/8VKVVFXdoMKyx66IBPz4OOHstNi5k+LGRsI8+T5GwOOxefUdnZbzBaITV2+fvX5HqtQ5O4jlWrFceyi3FDslEvAhXD8hn/30rJTn54/E/fkAAMPJyE3g8Xh8VFTUzZs3VSqVTqdjsVjotwl811vq6uo2b95ss9kQQgQCISwszGw2Y5lzW1vbhg0bPv/8cw6HgxCyWq0bN26Uy+VuT1AoFAqFos/f5eTJkzk5OW6NFAqFSqX2+WcBAAAAI9nz739f06ju2k6lEBNHB02IFaaNCZs4JsxZXE1nMD74w/VtHdjXDK/e3IUQam3v6FV/d3Zbfzy5V+/+cKaMjZgyNuLDVxbWyZqvlYkLyuuLKxuqpWqb3e7sY7XZ62TNdbLm3OKqBVPHwGp5AMCQNnITeIRQTEzMzZs3EUIikWjixInIJYGPjIzs2n/nzp3YX6ve3t4fffSRUChECJWUlGzcuNFmsxmNxj179rz++usIodOnTzuz99jY2BdffDEwMLCsrGzbtm2tre6L4gAAAAAwVIyNDOo2gTd1Wq/fFl+/Ld62P3fAg3pUPcwvn/67jwcujn4WF85n+nh7OgoAAHgkeE8H4EnOYXZsFr3Vaq2trUUIBQcH0+nuv84ajcaSkhLsOCsrC8veEUJJSUmzZs3CjvPy8rDtW48fP461MBiM9evXh4eHe3l5jR8//u233+7XNwIAAABAv/ph43NrFk3xdBSg19KTR9/47k9Ewoj+6gsAGAZG9Ah8VFQUDodzOBxYAi8Wiy0WC9betbNMJnMeG43GCxcuOE+xYXmEkMViUSqV/v7+zuH3jIwM13nsiYmJPB6vP2bRAwAAAGAA4PG4hFGC5Ojg/ni41WrFCuiSSKT+eP5INiaCD9k7AGAYGNEJvLe3d0hIiEQiqampsVqtPS+Ad13Qfvjw4Xs9Uy6XO//2RQgJBALXqzgcjs/nQwIPAAAADF1rFk3pp0F4lUqFTeXrj5K3D+JwbunuMwV36hX6tg7kQL50amQob8mMhOzZ4/F4yH4BAMDzRnQCjxCKjo6WSCQWi6Wurq7nBN5kMj3IA9VqNZvNdp523ei1P/7+e/31159//nm3xsWLF2Mb3QMAAAAA9KDVaHrpo/93OK+002x1bVfpDNUN6hNXyn7/wd7JiRHb3n4qLizQU0ECAABAkMDHxMScOXMGISQSibAE3tvbOzi4m3lxrr+Fb968udskH+Oa6rtOvEcIORwOt5ausJ/enYzG+1dwDQrqZosau93unNsPAAAAANCt1z/98X8/Xba6lG3vymq3XyqpHvvspnHRIT+8/3xYILuHzgAAAPrPSJ8N5czDb9y4gU2SxxbGd+3pmsBjte6cbDab6Rc2m41KpWKbySGELly40NnZ6exZVlbWbQLvuk6+qanJeazRaMRice9fCwAAAADgPn4uq+M+sfaLA5ec2TuJRLCz/O2BobagUbagUfbAULtfgIPqhV11ONCNO9KoJRtWrN9ltfaU8AMAAOgnIz2BDwwMZDAYCKHS0lKs5V5D60wmMywsDDs+cOCAc0m82Wz+9NNPly5dunTp0tWrV3d0dCCE5syZg11taWlZv369WCw2mUwFBQWffPJJtw93/XXgq6++qqqq0uv1JSUlGzZswOrqAQAAAAD0oRc37U3/w6ea1nbs1ItKfn35rOu71zlY/g4vGiKTEZns8KI5mBw7P8weHOHwYWI97Q7H3rM32LP/tO9ckefCBwCAEWqkT6HH4XDR0dEFBQXOlm5L0GM9V61atX79eoSQVqt9+eWXhUKh1WptampyTnpfunQptv/cvHnzjhw50tLSghAqLy9/7bXXeg4jJiaGSqVic+9ra2thtzkAAAAA9JOaxuaZr/yrSd2CneJwuIXTk/72+3k9lOlxkCgOf/62P8zZ8L8j+tZ2hFB7R2f233ds3n3u4CdrQrmsAQodAABGvJE+Ao8QiomJcT29VwKPEEpOTl6zZg02wd5ms9XW1kokEmf2np2dvWjRIuyYSqWuXbvWdWI8hsFgREZGdn0yi8VasWJF1/bExMTY2NjevA0AAAAAwD198N3puKf/4cze2Uz6vs0vv7dmwYMU2U1Piby4/Z3nFk4h4O8uNiytaRq9+O/L/vqtwdjZ870AAAD6xEgfgUe/nTMfHBxMo9F66Dx37tz4+PhTp07V19dLpVIcDufv7x8XF5eZmelW+i4uLu7zzz8/cOBAUVGRTqdjMBgpKSnLly/ftWtXVVVV1yfPnz9fIBAcPHhQKpUajcbAwMCMjIwFCxZgY/4AAAAAAI+iukE9//++rGlUY6c4HJozNfEfLy/q7XP++Mxjy+dMfOPjPeV1MoSQ3eH4KafkcF7pzNSoD19emDhKcN8nAAAAeGg4547lYJiJioqqqqr67LPPXn31VU/HAgAAAID766d94A3Gzufe//7IpZvOL31eVPKWt55OSwjv2jnx3f33ek7ppqWup5eKROu/PNLS1uHayKBRk6KCH0uNmjs5PgGSeQAA6GswAg8AAAAAMDzVNDb/37aDZ66VW23OovG4iYkRn779NJn0qF8C01Oic76O3nXs6teHLrcZ7+6h29puulRcfam4et3/juNwyMfbK5jLHBcjfHpWyqzx91ylCAAA4AFBAg8AAAAAMKzkl4u3H7py9vodhabVtZ3lQ9v0+pMT4rsZeH9oK+dPXjl/8ukrZTuOXamRquwuUzsdDtTa3lFe11FeJ9954hqFTHz5yWl/WDw14v+zd99xTZ37H8CfJCSEsPeSKRsBAUEciLOIE62jFVdtq1dra9urrfV3bdW21tqrt1VbW7XOonVvsS4QUBDZSzaETdgrhMzfH8emKaJ1AGF83v/ck+c8Ofke7+tV/ZzzDHODLiwAAGBAQYAHAAAA6NskUmlKTtmdhJz9F6K5lXUK79sfU+eoLp8dsGjayG4qYPJot8mj3cRiafjDzJsPHuUUVfDqW9rbhYoTNduF4v+duPPDyfAZ/u7/eWvyUIdB3VQMAEA/hgAPAAAA0CfxBcLL0WnnI1JuxWU1/H0uOoVGI1amBkumj5w5zqsH6lFRoU8aMWTSiCHyluTs4qiknPj0wpxiXrtQRAiRSmUX7qZcjEydN8Hrm/dmWmILOgCAF4EADwAAANDHlFTV/3Ay/NCV2MbOcrsqi2ltpj/ex/nNqSM02KyeL09uqKPlUEdL6phNJAcv3z9w8X5DS5tMJjt5K+FydNr6xa+tDZnIYjKUWCQAQB+CAA8AAADQZ9Q18b86GPbL+eh2kVjeyGYxR3nY+g+183QYxNbUNNTRUGKFT+NgabTtveANSyd//3v4zuO3W9ra+QLh5/uu/H4zfu8nb4zyGKzsAgEA+gAEeAAAAIA+QCaTHb0W9+mPF2oaWqgWBp0+ddSQRUG+gX7OnD/ftKcW1yqvxn+mpc7+/O2gd4NHbfjp4m/XH8pksszCynHv/fDuzFFbV87Q1lBTdoEAAL0aAjwAAABAb1dSVb/8m+M347Koj0wVxrLpI9YtnGRtqqfcwl6Oqb7WoY2L3po2YtX237O4VVKp7Jfz0Zej0n74eO6ssR7Krg4AoPeiK7sAAAAAAHiWY2FxQxd9I0/vk3ydkn/b8OO6+X00vcuN8bRLOLp+47Igag58eU3j3A0Hgj/5hVtZp+zSAAB6KQR4AAAAgF6KV988d8OBt748Ri1Wp6fFOfLF4rDv33O0NFJ2aV1DlanyxTtT4g9/OsLNhmq5Ep3utuDrbUdvCEUS5dYGANALIcADAAAA9EYnbyV4hGw9H5FCfQwa4ZoS+n8hgT7Krao7uNiY3t370Y/r5utoqBFC+ALhf36+7LHw62v3M5RdGgBA74IADwAAANC75JZUT/v33pDPD1c3tBBCNNRU9376xqX/rjDV11J2ad2FTqetmDU64/eNIYE+NBqNEJJbUj1j7c9BH/6Ynl+u7OoAAHoLBHgAAACA3qK2ib/l8C2PhV9fj8mkWgK87JOOffbuzFFUrO3fjPU0j3yx+PaeD9zszKmWm3FZ3ku+fefr0OKqeuXWBgDQGwzoVehramqWLVv2PD0vXbrUVT+6c+fOiIgIQgibzT516lRXXRYAAAD6tFJew7eHbx29ntAqEFItelqcb1bNXDZ9xECI7orGeNo9PPTJ/ov3Nh+4VtPQIpFKD1+NPX7j4dvTR65bNMnSWFfZBQIAKM2ADvAAAAAAyiWVyiISc/ZduHcxMlUkfrxsmwqD/s7MUZvemWKgo6Hc8pRFhUFfOdt/wWvDvj16c/fpiLZ2kVAk2Xsu6sCl+29M8v7ozfHuf76iBwAYUBDgAQAAAJQgLa/s1O3E43/EK+6axqDTZ4x2/nrVbIf+ss78q9DWUNu6asZ7c8d8c+TGwcv3hSKJSCw5FhZ3LCxulMfgd2aMnD12qLoaS9llAgD0HAT4xxwcHFatWqXsKgAAAKA/axeJ76XkX4/JvBSVlldarXhKk6M6d5z7W1OGWRnrmJkhvf/F3FBnz9p5nyyatCP01qErsXyBkBByLyX/Xkr++/89Nd3fbdZYj9eGO2uoqSq7UgCAbocA/5iampqtra2yqwAAAID+prVNGP+IG51aEJWcdz+1gP/nFHcKjUbzG2K9KGj4G5O8Ba1NYrFYWXX2cpbGuj98PHfjsqB9F+7tuxBdymsghLS0tZ+4EX/iRjyLyRjhZjvWy95/qJ23k6UmB2EeAPonBPgXxuPxLl68mJSUxOPx6HS6sbGxj49PcHCwllbHnV3a2tqOHz8eGxtbW1urra3t6+sbEhLS6TV/++03+YJ2J06cUFdXl5/auHFjSkoKIcTc3Hzv3r3dc08AAADQZarqmjMLK1LzylLzyhKySh4VVkqk0ie7DXUYNGvs0PkTvewGGVItgtamnq207zHQ0diwNPDTxZP+iH302/W4S5FpAqGIECIUSe4m5t5NzCWE0Ok0Bwsjd3tzt8HmTlbGjlZGtuYGbBZT2bUDAHQBBPgXExMTs2PHDqHwr2fnXC6Xy+Vev35948aNzs7O8vaysrKtW7eWlJRQH2tra8PCwpKSkszMzHq6aAAAAOgeRRV1GQXlJVX1JVX1RRV1+WU1eSW8hpa2p/XX1lAL8LR/bbhT0EhXKxO9niy1P2HQ6VNGuk4Z6drMbw+7n3EpKvXWw+yahhbqrFQqy+JWZXGrTt1KpFpoNNogIx0bM31bMwMrUz0bM30bU31LEz0zQ20GHXsqA0BfggD/WFtbW0FBwZPtKioqlpaW1HFBQcH27dslEgkhhMFg2NjYCIXC4uJiQkhLS8vmzZv37NljYGBACBGLxVu2bKmoqOhwtcrKysrKyi4v/vPPP4+Oju7QqKmp+eSgAAAAAOgqcRlFASu/ly8d/zRWJnq+rtZ+Q6xHewwe6jAIibELaXJU5030mjfRSyqVpeaVRSbnPUgvin/ELSivlclk8m4ymYx6yBKZlKf4dQMdjT9+eM/DflCPFw4A8JIQ4B/Lycn58MMPn2zX19c/dOgQdXzkyBEqvXM4nG3btllbWxNCkpKStmzZIpFI+Hx+aGjomjVrCCHXr1+Xp3cXF5fly5ebmpqmpaXt2rWrqanrR8e1tbV1etmBtm0sAABAT8ovq3kyvbOZTF0tjoGOhr62upGuhrGeppoqixBSVdt89k7y2TvJz7ggn8+XSqWEEA2Nl989rrrpqe//nwe9lve0U7uP33qVKxtqqb3K15+TlYmelYleu1Bc09hS09BS18SvbWxtaGlrbGl7ciJDTUPLjQdZCPAA0IcgwD8vPp+flJREHQcHB1PpnRDi6ek5adKk69evE0IiIyPfe+89FRWVK1euUGe1tLQ2bdrEZrMJIb6+vmvXrv3888+VUD0AAAB0tTnjPYsq6jb+clmxUSASVdQ2VtQ2KquqV/SMZ/+HLnUc7tfXTfR1WhTkq+wqAABeAAL88yovL5cf8/n827dvyz9Sr+UJISKRqKqqytDQUP76ffz48VR6p3h4eJiYmHTHKHoAAADoYUwVxrqFEzsEeOhDjny+2FhPU9lVAAC8AAT4xzw8PL788stndFCc0H7hwoVndBOLxfJpV+bm5opnaTSamZkZAjwAAED/wKDTfv9qWVddrbGxkRpCL5Ay6ppaG5ratDTUNNVVBxlqqzAYXfUrIKetwf7nTgAAvQkC/PMSCATP0626ulpfX1/+8clZ6PRuWLrG3t6+tbW1Q+P9+/exlywAAEC3otFoc8Z7vvp16pr4u06FXwhPLqioaxMIZU90YDIYOpocOwuD0R6D33xtmLudeSdXAQCA/g4B/nkpbv+2fft2Jyenp/VUjPqKA+8JITKZrEPLkzqkbj6f/4+1LV++/MlGR0fHJ1M9AAAA9Cq7T93dfSqisLzmydCuSCSRVDc0Vzc0x6QVfvfbLRaTMdjM8DU/p3/NHmNvYdhDtQIAgLIhwD8vxQCfn5+vGOAlEolIJKKOmUwmm802MDCoqakhhNy+ffvNN99UVVWlzqalpXUa4BXnyZeVlWlra1PHtbW1RUVFXXwnAAAAoGxNfMGHO8+cvJXQLnxiuBydIWOxCJ1BaHRCZEQioYnFRCxU7CIUSR5xKx9xK384GaHOUfVxtnp72oj5k7y6Y6AfAAD0Hgjwz0tHR8fGxqawsJAQcvr0aS8vL1NTU0KIUCjctWtXZGQkIYTD4Rw4cEBDQ2PKlClHjx4lhDQ2Nm7atGnFihUmJiapqam7d+/u9OKKTwf279+/cuVKIyOjwsLCQ4cOyR8NAAAAQD9QVt3wr22/34jNlMgUX7rTDHU1R3nYnS1oJirMTr4mk/03eMj95LzUnNLSqnqRwni9Vn57REJORELO0q+OOVmZhAQOe3/eWDXVzi4CAAB9HAL886LRaEuWLNm0aRMhpK6ubtWqVdbW1mKxuKysTD7ofd68edTGrdOmTbt48WJjYyMhJCMj44MPPnj2xZ2dndlsNjX2Pj8/f+3atd16LwAAANDzHmYWf/i/U3GZxTKF6M5iMsYOc/poYaCxvhYh5OyGU51/mUabNNx10nBX6lNBWfXZm/H3U/JKq+rl25tLJNKMgvINey/938+X7MwNF072/WjBeA6b1b13BQAAPQgB/gV4eXmtWLFi3759MplMIpHk5+crng0JCZk1axZ1zGaz169fv3nz5g5L32lpaZmYmOTk5HS4sq6u7qJFi/bv39+h3cPDQyQSZWZmdvWtAAAAQA8Ri6Xf/35nz5m7pbwGxXZNDnvh1BFvz/J/iXHvtuaG65YGUce3YzPO3klMzSnhCx4Ps5fJSG5p9RcHrm7+9ZqDpdHy4FGrXg9QUcHoegCAPg8B/sVMnTp1yJAhYWFhhYWFxcXFNBrN0NDQ1dU1KCjIwsJCsaerq+uePXtOnz6dkJBQX1+vpaXl7e29YMGCo0ePPhngCSHTp083Nzc/d+5ccXExn883NTUdP378jBkzqHf+AAAA0LcIxeKDF+8fvhqbnFsmlkgVTxnqaa6eN2H62KFd8kMT/Fwn+LkSQnKLeUev3LuXlNvQ/HgFXKlMlsWt+viHc+v2XPByGLQuZOLsrlgzHwAAlIUmkz170VPoqxwdHXNycnbv3r169Wpl1wIAADAg8AXCM3cSL0WlP8goqqxt6vCvLBohdhbGHy0K9HO3fdoVPJ42hJ6QlK3znrOMsuqGA+fuRiZk1zd13MuGzWJO8nXavHwqNqIDAOiL8AYeAAAA4OU9Kqo8eu1BeHx2dkl1c6ug0z7qHNWxw5w+WDDJUEejB0oyN9T5YsVMQkhxRe3PZyKiknJb+Y8LEwhFl6PTLkenGelpLg4avnFZkLoaJskDAPQZCPAAAAAAL0YgFP905u7JW4npBeWd7AP3GE1bU83b2WrxtJHuDhZP6dO9LE31t77/OiEkJa903+nwhMwioUhCneLVNf839NbuUxGr5ox5e8ZIJytjpVQIAAAvBAEeAAAA4LnIZLKo5Pz/ht66HpMh7WwOIo1G09Xk2FkZB3g5Tgvw0OSwe7zGznnYDfrxs0WEkGtRqUcu38sr4VHD+9tF4v+duPO/E3fGeNr9a5b/rLEeTBWGsosFAICnQoAHAAAA+AeVtU0HL8ccuhJTWF7b4RRThT7ISM/T2Wq8j8vIoYOVUt7zm+LvPsXfvUUg3Hc6/GZsRnV9s1QqI4REJuVFJuWZ6mutmO2/YtbonhnqDwAALwoBHgAAAOCp4jKKdp2KOBeRLB98Tgih0WjaGmrDh9jOn+w71NFSieW9HA026+NFgR8vCtRm0Q5djjl4Oaa8ppEQUlHbtGn/1W1HbiwK8v3ozfEOlkbKrhQAAP4GAR4AAACgI7FEei48+YeT4Q8yihTbfVyslk71mzPes6yx8/Xq+hYrE71N7079z7KgS1GpP52JjEjMJYQIhKL9F+/9evn+7LFD1y9+bajDIGWXCQAAjyHAAwAAAPylron/66X7P52NLKmqlzeqq7FCAn3+Ndtfvvta/wjwFBUGffbYobPHDk3LK/vhZMSJG/HtIrFUKjtzJ+lsePKUka4blgYOd7VWdpkAAIAADwAAAEAIISQlt3Tv2ajjN+L5AqG80cpEj1qnXUdDTYm19Qw3O/MD/xfy5b+m7z4Z8fP5qKZWgUwmu3ov/eq99Em+Tv95a/Ioj94+yR8AoH9DgAcAAIABrZnffupWwq+XY+L+Plp+pLvtmvnjggPcGXS6kkpTDlN9ra2rZnyyeNKPZyJ3n4qoaWghhNyMy7oZlzXG0+6zJYGTfJ2UXSMAwACFAA8AAAADkUQqvROfE3r94fm7ya1tf71yZzEZc8d7vT8vYJizlRLLUzodDbX/Wxq4Zv7Yn89F7zx+m1ffTP5crN7T0eLfCybMGe+pwhhYjzYAAJQOAR4AAAAGEIlUei+l4MydpLPhSVV1zYqnrE313p4x6u0ZI4x0NZVVXm+joaa6NmTCqtf9D1y6vyP0dll1AyEkKbtk4ReHP/vp4srX/ZdNG2GAPecAAHoKAjwAAAD0fyKx5G5i7vm7KRfupnTI7WqqzBn+7kun+U0Y5kin05RVYW/GYbM+mDd2xazRx8Li/vvbrbzSakJISVX9hp8ubTkQNnucxzszRvkPHUyj4U8PAKB7IcADAABAv8UXCG/GZZ2PSLl6L72+ma94ikGn+w8dHDLZ9/VxQ7XU2cqqsA9RZaq8M2PksmkjLkSmfP97+P3UAkKIQCg6/kf88T/iB5sbhEz2ffO1YfYWhsquFACg30KABwAAgP6mvpl/9V76hbupNx48UlxSnhDCoNNHedi+Ps5z9rihpvpayqqw76LTadSec4lZJT+djTx1O5H6E84vq9ny67Utv17zdrKcO8Fr9jgPWzMDZRcLANDfIMCTxMTETZs2UccbN2708fF5dv/MzMz169dTx+vWrfP39+/W8gAAAOA5FZbXXrmXfikyNSo5TyyRKp5iMRljvRxmjfWYOcYdU9y7hJeTxYH/C/nvmtknbsQfC4uTr+GfkFWckFW8/scLHvaDZvi7TRs9xMvRAqPrAQC6RNcH+EuXLrW2thJCzMzMAgICuvz6Pabf3AgAAEA/JhJLYtIKr8dkXr2fnlFQ0eGsuhprsp/LzDEeU0e5ag+Ajdx7no6G2srZ/itn+2cX834Le3DyZmJBeQ11KiW3NCW39MuDWw8K1gAAIABJREFUYSb6Wq8Nd57o4zR+mIMJRj0AALyCbgnwPB6PEDJs2LA+nXv7zY0AAAD0MzKZLLOw8k5Czp347IiEnGZ+e4cOBjoa00YNmTnGfaKvk5oqUylFDjSOlkZfrpj+5Yrp8Y+4Z8OTz0ekUGvdEUIqa5uOXntw9NoDQoiztcloj8Ej3W2Hu1o7WBoptWQAgL4HQ+hfmJ6e3vTp06ljMzMz5RYDAAAwQPAFwqTsktiMonspBffTCmoaWp7s42hpNG2027TRQ0a62zLo2KJcOYY5Ww1ztvpm1czMworL0elh9zNi0wvlMxoeFVU+Kqrcf/EeIURXk+PlZOHlaOFuZ+422MzB0pjFZCi1dgCA3g4B/oWZmJi8++67yq4CAACgnyuvaXxUWJmWX56WX5aYXfqosKLDtHYKh80K8LQP9HOePMLFbhDWP+9FXGxMXWxMP100qaGlLTw+5058dkRi7qOiSnmH+mb+7YfZtx9mUx9VGPTB5gZO1iaOlsZ2Fob2FoaDBxmaGWgrqXwAgN6oKwP8zp07IyIi5B/j4+NnzJgxbNiwzz//nBBy48aNPXv2yHsaGBgcPXr04cOHwcHBr7/+OtWemZl5+fLlkpISHo9Hp9MNDAwsLCymTp3q6upKo9HOnDlz9OhRqufnn38+bNgw+W/l5eV9/PHH1HFwcPCyZcuoYx6Pd/HixaSkJOqCxsbGPj4+wcHBWlrPmn/17BvpdNE7xdqOHDlSWFgYGhrK5XJZLJajo+P8+fOdnJwEAsGZM2eioqJqamp0dXXt7e1DQkIGDRrU4ddfrmYAAIC+SCSW8Oqby6sbK2ubuJV1pbz6ooq6/LKa/NLqplbB076lylTxcbEa5+0wztvBb4gNXtv2cjoaarPGeswa60EIqaprvp9acD+tIC6Tm5xT0tr21x4BYok0u5iXXcxT/C6HzRo8yHCwuYGtmb6tuYGtuYGNmYGNmb4KAyMsAGAgUs4b+Obm5p07d5aWlhJCZDIZ1bhv374rV64odisuLi4uLr53797s2bOXLl3q7+8vD8nx8fGKAT45OVl+LF8WPiYmZseOHULhX38xcLlcLpd7/fr1jRs3Ojs7d8/NkWvXrp06dYq6L6FQmJCQkJSU9Mknn5w6daqgoIDqw+PxeDxebGzsjh07bG1t5d99uZpjY2PLy8s7NDKZTBaL1cX3BgAA8MqqG1pWbf89m1vFq2/pdCR8pyyNdYc5W/m6Wo8YYj3MxUqViVGEfZKxnqY8zEuk0mxuVXJOWVp+WXp+xaOiCm5lvfxfhhS+QJiWV5aWV6bYaGagHb3/35bGuj1aOgBAL9CVf/kFBgZ6eHgcPHiwubmZEGJtbT1z5kwDg062AD158iSV3uWio6MV07umpmZ7e7s8x547d87Pz8/JycnR0TE7O5sQEh8fL5PJ5FuSJCUlUQfGxsZ2dnaEkIKCgu3bt0skEkIIg8GwsbERCoXFxcWEkJaWls2bN+/Zs6fT2l7oRjp18uTJDi1SqXTbtm1P9pRIJL/++uvXX39NfXzpms+ePRseHt6hkc1mq6lhuV0AAOh1joXFnY9IeXYffW11u0GGLjYmzjamHnbm7vbmhjoaPVMe9BgGnU4Nsyfk8VsZvkCYU8zLLeHlllTnlVbnlvAKymqq6po7fLG8pjH+ERcBHgAGoK4M8K6urq6uridOnKByr4GBwYQJEzrtmZmZyeFwhg4dqqura2lpSQiJjIykTunq6m7dutXc3FwsFicnJ2/ZskX+FScnpzFjxlABnsfjlZSUUN8VCASZmZlUN39/fyrVHzlyhErCHA5n27Zt1tbWhJCkpKQtW7ZIJBI+nx8aGrpmzZpXvJFOaWtrv//++05OTkVFRd9++y11EUKIjo7O6tWrnZycCgsLv/3225aWFkJIdna2/EnEq9QMAADQV4z3dtDWUGtsaXtGn9rG1trG1gd/bi0+cDxjMoDXG5t6rIzejMGgvzXVb8pIV2UXAgCgBMqZPmRiYvLzzz+vX79+xYoVvr6+hBA2m+3l5eXl5TV//nxzc3NCiIqKioeHB4Px+C+yyspKQsjo0aPlb93j4+Opg/T0dCr3Uh0IIXw+X/5OPjg4mErChBBPT89JkyZRx5GRkWKxuDvubsmSJb6+vlpaWu7u7orJf+nSpVS7h4fHuHHjqEahUNjY2Kj0mgEAAHrMUIdBqaH/p+wqoK9is1R+Xv8mm4XdAQFgIFLO/LE5c+bo6OgotsiXoCOENDc3FxUVcbncuLg4eTKn6OrqDhkyJC0tjRDy8OHD2bNnE4Xx8+bm5jY2NoQQxQnhfD7/9u3b8o/yC4pEoqqqKuphQddydHSUH6urq3farqHx1zhAaq6XcmsGAADoSWqqTFuz552bNnDI/8aXv8CAJ7FVEd0BYOBSToDvNIKWlJRcuXIlKSmJetn+NGPGjKEC/KNHj1pbW9XV1eUBXv5+vqKiQt7/woULT7tURUVFd4RhVVXVF2qXFyM/7vmaAQAAepKeFifnzBfKrqLX4fF41FA7MzMzZdfyMpJzS0/ciE/IKuHVNcukMkKIloaataneSHeb2eM8TfWxnw4AwKtSToB/MspGRUXt3LlT/uBZRUXF2tra3d392rVrAsHfdpEZOXLkzz//LJFIpFJpYmKik5OTfD08+frzHb7yNNXV1a90G13qVWpevnz53LlzOzS+9dZbra2tXVAZAAAAwNOlF1Ss//HC3cTctnbRk2cfZBSevJWwZucZNTbLxdokOMB9xSx/PS1Oz9cJANAP9IotWIRC4d69e6n0bmVlFRIS4u3tzWQyJRLJk++iNTU1PT09qQnw8fHx8txrZWVFrWlH/v7cevv27U5OTj1xG6/mVWq2t7d/slEsFmPCPAAAAHSfsNhHH/3vVF5JzfN0bhMIE7KKE7KKN/5y1UBbfbTn4OUzRr3m113b+gIA9Eu9IsCXlpZSS7ITQubOnevn50cdZ2VlSaXSJ/uPGTOGCvAJCQnt7e1UI7V8HUUxDOfn5yuGYYlEIhI9fjzMZDJ7zxyzvlgzAAAADEw347JXbj9eVF6n2MhkMKzMDHIEDKLCJHQGkUmJRExEQppQQBO0EbH8/bysprHlQkTKhYgUpgrDbpBB0Mgh784cZW9h2PM3AgDQt3RjgK+trX3OnoovihMSEjw9PTU0NIqKin788cdO+w8fPpzFYgmFwqamppiYGKpRPn6eEKKjo2NjY1NYWEgIOX36tJeXl6mpKSFEKBTu2rWL2rKOw+EcOHBAcTG5V7+RV9G1NQMAAAB0h3upBe9uDc0p5ik22pgZLH89IHCUGyHEY8OpDl+RUf8jEs2w4TxMK6xuaKZW8CWEiMSSR0VVj4qqdh6/zVZlOloYTRzuFBLo426HFX8AADrR9QFeV1eXx+MRQoqKirZv3+7m5hYUFPTsr1hZWTEYDGoIfXh4eHh4OJvN7jAnXPFVvJqamo+Pz71798ifS7jb2toqvsGm0WhLlizZtGkTIaSurm7VqlXW1tZisbisrEz+sGDevHnPTsIvcSOvoktqBgAAAOgmN2Ifffj9GcXoTiNkiN2gL1bOtDV/jpfnTOaXq2YRQoQi8fk7idfvpWVxK9sVps0L2kUpeWUpeWU7Qm+zVBiWprr+Q+0WTvYN8OxkqiAAwMDU9QHe29s7OzubECKTyaKjowUCwT/mXlVV1UWLFh0+fFjeIhAIaDTaggULbt26VVVVRQjJy8uTSqV0+uON68eMGUMFeIri63eKl5fXihUr9u3bJ5PJJBJJfn6+4tmQkJBZs2Z1+Y28olevGQAAAKBrCYTibw7/sf9iNK++RaGZ5mRj8tXq2c8V3f+OxVSZH+g7P9CXEFJQVn36j4exqXll1Y1ihc2DhWJJXklNXknNocuxTBW6vYXx/Alea94Yr8FhdcEtAQD0WV0f4OfMmSMSie7evVtbW9thF/dnmDVrloGBwaVLl0pLSzU0NJydnYOCglxcXAoKCqgAX1BQcPfu3XHjxlH9vb29ORwOn8+nPipOgJebOnXqkCFDwsLCCgsLi4uLaTSaoaGhq6trUFCQhYVFN93IK3rFmgEAAAC6RF0Tf++ZyN9vJWRzq6R/jngnhBBCs7cw+mLlDBfbLhjlbmtu+OmyKdRxWm7p5cjkxEfcksp6kcL8SpFYmllY8cWBq5t+veZsbbxhyeQ3XvN+9Z8GAOiLaLK//RcZ+g9HR8ecnJzdu3evXr1a2bUAAADAP+sN+8BfvJty6OqDmLSC2saOm9HSaDQ3O/PP3p3uaGn8jCs8OQdeLmXrvOcso6Sq/kpE8r2UnPzS6nZhx111POwHff2v6ZNHuDzn1QAA+o1esQo9AAAAACiLRCo9FvbwfyfuZHMrxZJONgDS1uRMHjFk1RvjNTnsninJwlh35fxxK+ePI4QUlFUfuxwTmZhd3/T4mUJKbum0f+8d5TH4u9XBvq7WPVMSAEBvgAAPAAAAMEA9Kqo8eDnmxI34ytqmDqdoNJqhjqafx+ClM0Zamylzgzdbc8Mv/jWDEFJYWv3D77fSc0rqmviEkHsp+aOW73x7+ohv3pupq8lRYoUAAD0GAR4AAABgYJFKZVfvpe86FRGRmNthNqUam+VqaxY40m16gAeL2bv+oWgzyPD7tW86meocDXvw1cGwUl6DTCY7cOn+tfsZv3z2ZtAIV2UXCADQ7XrXf5cBAAAAoPuIxJLQPx5+d+xmtsJucAw6fYSbtYmR/rzXfO0slPmy/XmwmIx3Zoxc8Nqw7cdufvfbrXaRuLymccbaX/41a/T292epqTKVXSAAQDdCgAcAAADo/9pF4kOXY7777Ra3sk7eaKqv9c7MUW9NH2FprJtaXKvE8l4Uh83a9O7UN14b9s7XobHphTKZbO+5qMjkvBNfLnOxMVF2dQAA3QUBHgAAAKA/axeJD16O2X7sZklVvbzRzc783wvGz5vgzWIylFjbK3KyMr7784ffHr255ddrYok0o6DC7+3v/vfh62/PGKns0gAAugUCPAAAAED/JBRJDl+N3Xbkj2KF6O43xGbD0sCgES40Gk2JtXUVBp2+YWngBB/HhV8cLiyv5QuEK7aduBmXtffTN7CyHQD0PwjwAAAAAP2NSCw5Fha39fD1ooq/BsyP8hi88a3JE32dlFhYNxnuah1/+NPl3xw/G55MCDlzJykmrfCX9W9ir3gA6GcQ4AEAAAD6D7FEGnr94dbD1/PLauSNI9xsNr0zdYKPoxIL627aGmonv377wKX7//7hbGubsKy6Ydq/9y4IHLZ99SwTfS1lVwcA0DUQ4AEAAAD6A4lU+vvNhK8OhuWWVMsbfV2tN70z5bXhzkosrCe9M2Ok/1C7t748FpdRRAg5/kf8lej0dQsnfTBvrLoaS9nVAQC8KgR4AAAAgL5NKpWduZO05ddrWdwqeaOXk8UXb0+ZOmqIEgtTCkdLo6hfPvr+9/DNB67xBcKmVsHGXy7vPhXx4ZvjlgeP1tFQU3aBAAAvDwEeAAAAoK+SyWSXo9O+2H8tLa9M3uhhP2jTO1OmjR7SP5apewkMOv3fCybMGe/56Z4LZ8OTZTIZr755w0+Xth76Y2GQ7/LgUe525squEQDgZSDAAwAAAPRJN+OyNv5yJf4RV94yZLDZF29PCQ5wH7DRXZGVid7vXy17kFG0af/Vm3FZhJCWtvafz0X9fC7K09FiUZDv/Inexnqayi4TAOAF9NsAv3PnzoiICEIIm80+depUF145MzNz/fr11PG6dev8/f278OIAAAAA/yg6JX/jL1eikvPkLU5WxhvfDpo73otOR3T/m+Gu1mHfv5eQVbzz+J1zEckisYQQkpRdkpRdsm7X+bHe9nPGe84c426kiyQPAH2AcgL8pUuXWltbCSFmZmYBAQFKqeEf9YkiAQAAYEC5l5K/5WDY7YfZ8hZrU72Ny6YsDPJh0OlKLKyX83ayDN2ytKK26fCV2KPXYql1/iRS6e2H2bcfZq/+7tQIN5tpo92mjnJ1tjZRdrEAAE+ltADP4/EIIcOGDeu12bhPFAkAAAADgUwmC4vJ/G/orcikv966mxvqbFgauGz6CKYKQ4m19SGm+lqfLXntsyWvPcgoOhYWd/ZOUnVDCyFEIpVGp+RHp+Sv//GCtaleoJ/LJF+ncd4O2ljxDgB6mX47hL776OnpTZ8+nTo2MzNTbjEAAADQv1XWNoX+8fDAxXuKm8MZ62muWzhpxazRaqpMJdbWdw13tR7uav39R3PuJuaei0i+FJlaUdtEnSqqqPvlfPQv56NVGPRhzlaTfJ0m+jj6ulrjKQkA9AYI8C/MxMTk3XffVXYVAAAA0J9lcatuxmVdjkq7m5grkUrl7eaGOh+9OX558CgOG7uavyoVBn2Cj+MEH8fd/56XkFV8JTotLDYzOadUKpURQsQSaWx6YWx64ZcHwzTUVMd42o0f5jjO295tsDkWGgAAZeniAM/lcs+fP19UVFRRUaGiomJsbGxraztz5kwLCwuqg3xtOUp8fPyMGTOGDRv2+eefE0J+++03+YJzJ06cUFdXl/fcuHFjSkoKIcTc3Hzv3r2KP9rW1nb8+PHY2Nja2lptbW1fX9+QkJAna/vpp5+uX79OHX/22WcjRoyQn2publ64cKFMJiOEBAYGtre3P6PIxMTETZs2yavy8fEhhJw5c+bo0aNU45EjRwoLC0NDQ7lcLovFcnR0nD9/vpOTk0AgOHPmTFRUVE1Nja6urr29fUhIyKBBgzrUyePxLl68mJSUxOPx6HS6sbGxj49PcHCwlpbWc/w/AAAAAH1PS1t7QVnNw7TcLG5VemFVan5lVV1zhz5DHQa9P3fsm68NYzHxKriL0ek0HxcrHxerzcunVdU133qYdSsu61Zclvy1fEtb+7X7GdfuZxBCdDU5ozxsR7kPHuFm4+lgoa6GJykA0HO6MsCfO3fu8OHDii3Nzc15eXk3b95csGDB/Pnzu/C35MrKyrZu3VpSUkJ9rK2tDQsLS0pKenJwu7+/vzzAx8fHKwb4lJQUKr1T3W7duvUqJV27du3UqVPUBYVCYUJCQlJS0ieffHLq1KmCggKqD4/H4/F4sbGxO3bssLW1lX83JiZmx44dQqFQ3sLlcrlc7vXr1zdu3Ojs7PwqhQEAAIAStYvEucW8Ul4Dr765hNdQVdtUwqsv5TWUVNXXNLQ87VuGOhrzJnotnOzr42LVk9UOWMZ6miGBPiGBPoSQjIKKWw+zbsVlRyXntbS1Ux3qm/lXotOvRKcTQhh0uqOVsYe9+Sh323eDR2EdQQDobl0W4NPT048cOSL/qK+vz2Qyq6qqZDKZTCYLDQ21trYePnx4YGCgh4fHwYMHm5ubCSHW1tYzZ840MDB4uR8Vi8VbtmypqKjo0F5ZWVlZWdmh0dXVVVdXt76+nhASHx8vk8nkW6QmJiZSB9ra2q6urgwG41WKPHnyZIcWqVS6bdu2J3tKJJJff/3166+/pj4WFBRs375dIpEQQhgMho2NjVAoLC4uJoS0tLRs3rx5z549nZbxzTffxMbGdmhUV1fX1MSGKAAAAL1CU6vAc9E33Mq65+nMYjK8HC3HetkH+jmPdLdFLFQWV1tTV1vTNfPHicSSuIyiOwk5dxNzH2QUtbWLqA4SqTSzsCKzsOLEjXhVFvOtaX7KLRgA+r0uC/CxsbHUO2c2m71jxw5qzHx5efmGDRvq6uoIIREREcOHD3d1dXV1dT1x4gSVjQ0MDCZMmPDSP3r9+nV5endxcVm+fLmpqWlaWtquXbuampo6dKbT6f7+/pcuXSKE1NfXFxQUDB48mBAik8mSk5OpPiNHjmQwGK9YpLa29vvvv+/k5FRUVPTtt99SFyGE6OjorF692snJqbCw8Ntvv21paSGEZGdnyx8lHDlyhErvHA5n27Zt1tbWhJCkpKQtW7ZIJBI+nx8aGrpmzZonf7Gurq6srOzJ+6Xj73sAAIDeobiy7mnpna2qoqPJ0dPkaKmz9DQ5RjrqtpamKgw6ISQmvTAmvbBnKqxo4HfJdWiNNU87dehS9Ktf31SH8+oXeTmqLJXX/Jwn+DiWVTdwq+pLqurLeA31TY//3Ax1NJRVGAAMHF0W4LlcrvyYwXg8NcvMzGzx4sUZGRmEEB0dna76LbkrV65QB1paWps2bWKz2YQQX1/ftWvXUvPVOxgzZgwV4Akh8fHxVIAvLS2tqXn8N83o0aNfvaolS5b4+voSQtzd3SdMmHDhwgWqfenSpVS7h4fHuHHjLl++TAgRCoWNjY06Ojp8Pj8pKYnqGRwcTKV3Qoinp+ekSZOowf+RkZHvvfeeigqWHgQAAOhjhgw2+2bVzG1HbzS2tHU4JWgXV7Y3VdZ0fPfQRz3j7cHu4680S7E3u/79exN9nZRdBQD0f10WBXV1dakDgUCwcuVKR0dHb29vLy+vsWPHjh8/vqt+RZFQKJS/fh8/fjyV3ikeHh4mJiZPjqK3t7c3NjauqqoihDx8+JCali+Pzbq6uq6urq9emKOjo/xYcR0+xXYNjb+e0VIjF8rLy+UtfD7/9u3b8o/Ua3lCiEgkqqqqMjc3f/UiAQAAoIetWzjxxI341LyOg+agH/ByslR2CQAwIHRZgA8ODo6Pj6eGhctksqysrKysrNDQUE1NTW9v76CgoC5fgK2iokK+8lyHTEuj0czMzJ4M8DQazd/f/8yZM4SQ3NzcxsZGbW1teYAfOXJkl4w5V1VVfaF2iuJMfvlL+067IcADAAwQlbVNbUKRYou+troWh/20/tD7/WfZ5NrG1qedbW5upp7ad8e4RehWWIseAHpGlwV4W1vbXbt2Xb169c6dO9RCcZTm5uaIiIiIiIilS5fOnj27q36OECJV2BNVvhyd3NOi+JgxY6gAL5PJEhIS/P3909LSqFNdMn7+pQkEgufpVl1d/WTjoEGDnnw+kpGRIX91DwAAvYFQLM4qqiooreFW1ZXXNFbVNdc0tDQ085taBc18IV/QLhCKRSKxRCKVyh9Rd4LGoNNYLBVtdTUzAy0HS6PhrjbT/IfYmOr34K3AS5o9dugzzvJ4PLFYTAh5cjMdAAAA0rXbyBkYGCxZsmTx4sW5ublxcXEPHjxQnBh/7NixgIAAff3n/ecF9ReYHJ/fcWEVU1NT+bHi+HNCiEwm69AiZ2VlZWFhQW07Fx8fr6+vT+3Zpqur6+Li8py1dQfFv6q3b9/u5PQC06g6XdnO0dGRGhABAAA9j1fXEhaTEZWSl1VUWcprqG/mCwQiyTNS+QuQSaSyNoGwTSCsrG1MzC75/WbCR9+fYarQjfW0PB0spo12nT/RR4OD94EAAAD9TdcE+Lq6Ovmo74CAAAcHBwcHh4ULF1ZUVPz6669xcXGEEIlEwuVynx3gFeexl5WVaWtrU8e1tbVFRUVPdjYwMKDWn7t9+/abb74pH6Oelpb2tABPo9HGjBkTGhpKCElMTJTXM3r06Cdf4/ckxQCfn5+vGOAlEolI9HgIJZPJlK8RCAAAvcrdpNyj1+LupeaVVDW0C8X//IWnodMJnUFoNBmdTgiN0OmEEG2GVCgSS2VEIhZLpJ08CBCJpaW8hlJew+XotBXbftfRVPOwM5/u7754ynA9LaWt2g0AAABdqGsCvIaGxuXLl6kB27m5uevXr6eyt6GhoeKEbWNj4w5frK2tVfyoGGL379+/cuVKIyOjwsLCQ4cOyROsoilTphw9epQQ0tjYuGnTphUrVpiYmKSmpu7evfsZ1fr7+1MBns/nU6u7U41P69+hyG6io6NjY2NTWFhICDl9+rSXlxc1xEAoFO7atSsyMpIQwuFwDhw4oLgAHgAAKJdQLP7xdORvYXGZRZUi8T9MXGKqMFgsJkeVqaGmqqWhpqmhpqvJ0dXiGOho6GtrGuprmhpoT/nfDUI6eaAcsXWe4seK2sZHeWXp+WXZ3CpuRU11XYvo7yPXGprb7ibl3U3KW7vrnLaGmqejxbzxXounDmezsJUJAABAX9U1f4uzWKwRI0ZER0cTQjIyMhYtWqSjo8Nisaqrq+WT+IyMjOT5XFdXl8fjEUKKioq2b9/u5uYWFBRECHF2dmaz2dRs8Pz8/LVr1z77d6dNm3bx4sXGxkbqdz/44IPnqdbMzMzOzi4vL48Q0t7eTggxMDBQXCL+2UV2ExqNtmTJkk2bNhFC6urqVq1aZW1tLRaLy8rK5LMJ5s2bh/QOANBL/H4j/rvfbqXll0s7GxivwmDoaXMsTfTtLI1dB5u5DTa3NDN4vgs/13AwU31tU33t8cP/mvxV29h6MyY9Kik3u6iyvqlVcRJ9Y0tbREJORELOe/89aaqvNcHH6aM3x7nbYUlUAACAPqbLHsN/8MEHNTU1WVlZ1MeGhgbFs+rq6hs3bpSPUff29s7OziaEyGSy6OhogUBAZWNdXd1Fixbt37+/w8U9PDxEIlFmZmaHdjabvX79+s2bN3dYAU5LS8vExCQnJ+dp1fr7+1MBnjJq1Kgnx88/rcju4+XltWLFin379slkMolEkp+fr3g2JCRk1qxZ3VoAAAD8o4YW/r9/uHD6djxf0HFomCqLaTfIaORQu6n+7pY9vqScvrb6G5OHvzF5OCFELJbejX90PSYjNbekpr5FHuZlMll5TeOxsAfHwh5oqrMn+jp9vizIbTDWSwMAAOgbuizAs9nsb7/9NjEx8caNG+Xl5XV1dW1tbXp6egYGBn5+fpMmTVLcEX3OnDkikeju3bu1tbUdVkqfPn26ubn5uXPniouL+Xy+qanp+PHjZ8yYQb2afpKrq+uePXtOnz6dkJBQX1+vpaXl7e29YMGCo0ePPiPAjx49+tChQ4ofn+zzjCK7z9SpU4cMGRIWFlZYWFhcXEyj0QwNDV1dXYOCgiwsLHqmBgAA6BS3sv7tr45FJuV1eOWupaE2wm3wkpmjnKxNn/bdHqaiQp/g5zrBz5UQIhZLwx/wCO5yAAAgAElEQVRmXo1OS80tbWj6awOz5lbB+fDk8+HJxnqa78wY9X/LAlkqGF0PAADQq9GetU9Nv/bpp58+evSIEGJoaHjgwAHlrmDXHRwdHXNycnbv3r169Wpl1wIA0LdVN7T87/idnSduiyV/7WDKVGH4DLFd/cb4rs3tHhtOddqe8vc58C+nmS84ef3BjZiMwrIaicJurIQQFQY9JND3+4/naHJUX/2H4OVgGzkAAHi2gfusncV6vL+O0tefBwCAXqu+mb/z+O3dp+62tLXLG7U11EKm+L0105/BoCuxtpegyWG/MzvgndkBUqn0fHjiyT8e5pfwqEf5Yon0yLXYS1Gpq+cGvD9vLBauBwAA6IUGaIDPyspKS0ujjjsdPw8AAANcW7toz+m724/drG/mUy0MOt3dzmzBlBHU0PQ+jU6nvz5h2OsThrW0te86futqVEqbQEgIqW/mf3kw7IeT4Wvmj/vwjXHaGmrKrhQAAAD+MuAC/N69e6uqqlJSUqRSKSHEwcHBzs5O2UUBAEAvIpFKj16L23zgainv8YKsdDpt3gSv/ywLcrIyTi3uib1Fe4yGmuqGt6dueHvqg7SCsMjky9FpMpmsqVXw5cGwH8/cXbdw0ntzxnDYLGWXCQAAAIQMwACfm5srX3+ewWAsWbIE4+cBAEDu2v2Mz366mFFQIW+Z7u/25fJpQ/r7Uu3D3WzfneqTnl/+5cGwcxEpMpmsron/2U8Xd5+K+M+yoLem+TFVGMquEQAAYKAbcAGew+HQ6XQ1NTVbW9t58+a5ubkpuyIAAOgVYtMLP/vpUlTyX5uMjnS3/fa94BFuNkqsqocNGWx28uu3U/PKNv5y5eq9dEJIeU3jqu2/7zx+e+PbQW9OGkan46k3AACA0gy4AP/VV18puwQAAOhd0vLKvth/7VJUqrzF2drk65XTZ/i7K7EqJXK3M7/43YqYtMINex8/0cgrrV6y+ei2Izf+s2zy3PFeiPEAAABKMeACPAAAgFxGQcVXh66fDU+SSh9vqmpmoP35O1OWTvVT6WsrzHe5EW424T+t+SM28z+/XEnKLiGEPCqqDPn88JYD1/4dMjFkso8qE/+KAAAA6FH4qxcAAAaiBxlF24/dvBydJo/uupqctQsnvj83AGu2KQr0c3ltuPO5iJTNB65lFlYQQrKLecu/Of75vivLg0e/GzzKVF9L2TUCAAAMFAjwAAAwgIgl0gt3U3adirifWiBv1OSofjBv7EcLJuhg17TO0Gi018cNnRXgcS4i+ZsjN1JySwkhlbVNW3699s2RP6aMdF061S/Qz4XFxCp3AAAA3QsBHgAABoT8spqjV2MPXYktr2mUN+pqct6bM+aD+eP0tDhKrK1PoNNpc8Z7vj5u6I0Hj3Ycv3MnPpsQIhJLLkamXoxM1dPiBAd4BAd4jB/mwGYxlV0sAABA/4QADwAA/Vl1Q8u58OTjN+LvpxbIZDJ5u4Wx7uq5AcuDR2tyVJVYXp9Do9EC/VwC/VwyCyv2no06fiO+saWNEFLXxD94Oebg5Rh1NdY4b4eJPk7jhzm62Jgou14AAIB+BQEeAAD6oYLymivR6ZciU6OS8yVSqbydRqON8bRbOds/OMADy9S9Chcb091r5327OvhSVNpv1+NuP8wWiSWEkNY24ZXo9CvR6YQQE30t/6F2oz0Gjxk62NXWDGvXAwAAvCIEeAAA6Cda2tojk/JuP8z+IzYzi1vV4ay5oc7CyT6Lp/o5Whoppbx+icNmvTHJ+41J3rWNrVei0y9Hp92Ky2ppa6fOVtY2nb6dePp2IiFER0NtpLvt6KGDxwy183ayZKpgwjwAAMALQ4AHAIA+rJnfHpNWEJWcF5GY+zCTK5ZIO3Qw0tUMDnCfN9F7zFA7vAHuPvra6kumDl8ydbhQJIlJK7gdnx2ekBP/qJh6LU8IaWhpu3Y/49r9DEKIuhprpJvtWG+H8d4OXk4WDDqGQgAAADyXvhTgo6Kizp49W15eLhQKjYyM9u3b90Jfz8zMXL9+PXW8bt06f39/QkhiYuKmTZuoxo0bN/r4+HRpyQAA0PXKaxrvpxbEpBVGp+Sn5JY+GdoJIa62plNGuk4bNcTPzQb5sCexmIwAL/sAL3tCSGubMDa9MDolPyo5Ly6TyxcIqT6tbcKbcVk347IIIToaagFe9uO8HSb4ODpbY848AADAs/SZAJ+env7dd9/JP4pEIiUWAwAAPaldJE7OKX2QUfQgvSgmraC4qr7Tbib6WmO97Cf4OE30cbQw1u3hIuFJ6mqsCT6OE3wcCSEisSQhqzgqOT8yKe9ean5Tq4Dq09DSRq1jTwgxM9Ae5+0w1tshwMvO1sxAmaUDAAD0Sn0mwN+7d09+bGtra21trbxaAACge4kl0qyiyoSskvhH3IePilPzSoUiSac9zQ11/IcOHu0xOMDLHu9vezOmCsNviI3fEJt1CyeKJdKk7JLwxJw78Tn3UvLb2h8/lC+vaQz942HoHw8JIYOMdMZ42o1wsx3tbutia4phFAAAAKQPBfjq6mrqgM1m79ixg8F44cVv9PT0pk+fTh2bmZl1ZXEAAPBqBEJRRkFFUk5pck5pUnZJal6ZPNR1wKDTXW1NR7nbjnCzHelua22q18OlwqtTYdB9XKx8XKw+WTipXSSOSSu8E599+2F2QlaxfEJEKa/h+B/xx/+IJ4RoqKkOc7b0dbEe5mLp5WiJ/9MBAGDA6jMBXvrnJkDq6uovkd4JISYmJu+++26XFgUAAC+puKo+o6A8Na88NbcsLb8sp5jX6VR2iom+lo+Lla+L9Qg3m2HOlhpq2Lm9/1Blqoz1sh/rZb9l+bSmVgG1HuHdpNyUnDL5/n8tbe0RibkRibnURz0tjqejhafDIHe7Qe52Zo5WxljTHgAABog+EOB37twZEREh/1hbWztjxgxCyPnz5+VJPjMz8/LlyyUlJTwej06nGxgYWFhYTJ061dXVlUZ7vObw869X99tvv506dYo6PnHihLq6uvzUxo0bU1JSCCHm5uZ79+6lGm/cuLFnzx55tQYGBkePHn348GFwcPDrr79OtfN4vIsXLyYlJVEVGhsb+/j4BAcHa2lpdfh1Lpd7/vz5oqKiiooKFRUVY2NjW1vbmTNnWlhYvPCfHQBALyASS4oq6nJLeI+KKnOKeRkFFY+KKhtb2p7xFX1tdS9HC28nS28ny2HOlpjQPkBoqbOnjhoyddQQ8uf+AjFphTHphXEZRfI584SQuib+7YfZtx9mUx9ZTIajlYmztbGLjamjpZGDpZG9hRGHzVLOPQAAAHSnPhDg/9G+ffuuXLmi2FJcXFxcXHzv3r3Zs2cvXbq0J4tpbm7euXNnaWkpIUQmk1GNMTExO3bsEAqF8m5cLpfL5V6/fn3jxo3Ozs7y9nPnzh0+fLjDBfPy8m7evLlgwYL58+d3+qOpqak8Hq9Do4qKCpPJ7Ip7AgB4YVKp7OvD1yMSc4sr60qq6p/xdp1ibarnbjdoqIO5h/2goQ6DrEwwRnqg0+Sovjbc+bXhzoQQqVSWxa2Kf8SNf1ScmF2SmlcmX9CeECIUSdLyytLyyuQtbBbzxJdvTfd3U0LdAAAA3akPBPjAwEAPD4+LFy8WFRURQtTV1d955x1CCJ1OJ4RER0crpndNTc329nZ5VD537pyfn5+Tk1OPVXvy5EkqvcsVFBRs375dIpEQQhgMho2NjVAoLC4uJoS0tLRs3rx5z549BgYGhJD09PQjR47Iv6ivr89kMquqqmQymUwmCw0Ntba2Hj58+JM/euzYsfDw8A6NampqHA6ny28QAOB5RKfkbz5w7WlntTXUXGxM3AabDRls5jbYzM3OXEdDrSfLg76FTqe52Ji42JgsnjKcECKRSrO5VSm5Zal5Zal55RkF5aW8BsX+AqHoemwmAjwAAPQ/fSDAu7q6urq63rt3jwrwbDZ7woQJ8rORkZHUga6u7tatW83NzcVicXJy8pYtW6j2zMzMngzwmZmZHA5n6NChurq6lpaWhJAjR45Q6Z3D4Wzbto1aPz8pKWnLli0SiYTP54eGhq5Zs4YQEhsbS720pxbqo8bMl5eXb9iwoa6ujhASERHRaYAHAOht7C2NDHU0qhtaaITQ6HQGjUan0xh0Op1OYzDodBotq6gqq6jq9O0kZVf6wiRSWbden9Em7LR97NvfduvvEkIYdFp3/0Q30dFQk0hlEqlUKpVJpNIRQ2w+fGO8sosCAADoen0gwD8bm8328vIihPj6+pqbmxNCVFRUPDw8GAwGFZsrKyt7sh4TE5Pt27fr6OhQH/l8flLS43+eBgcHy3e/8/T0nDRp0vXr1wkhkZGR7733noqKCpfLlV9HPr3fzMxs8eLFGRkZhBD5ZQEAejlTfa28s5ud5m+uqGmSUcuQdr4NHDyvptZnrRoAiraummFvYajsKgAAALpenw/wH3/8sfy4ubm5qKiIy+XGxcVR6b3nzZkzRzFml5eXy4/5fP7t27flH+UVikSiqqoqc3NzXd3HqzQJBIKVK1c6Ojp6e3t7eXmNHTt2/Hi8SQCAPkZdjaWrqS5oFyu7EBhwVBjYNB4AAPqnPh/gCSElJSVXrlxJSkrq4ZftnaJGAchVVFTIjy9cuPC0b1VUVJibmwcHB8fHx7e0tBBCZDJZVlZWVlZWaGiopqamt7d3UFCQ4nJ3AD1PIBRnFVcVldYUV9WV1zRVN7Q2tvLb2oXNLYInVyhTV2MxmXR9bQ0tNTUDHY6pgbaZgbaNuYHdIEM2qz/8lweeR2roBmWXAAAAANB/9Pl/RkdFRe3cuVP+NltFRcXa2trd3f3atWsCgeDZ3+0Oqqp/2534OWuorq4mhNja2u7atevq1at37typr6+Xn21ubo6IiIiIiFi6dOns2bOf/PqiRYsCAwM7NK5Zs4bP57/wDcCAJ5VKk3JK4zO5afmVeaW88prGmsaWplaBUCSWdtHUXzqNxlRhqLJUNDmq+trqelrqJvpaViZ6lsa6lmYGDhZGg831u+SHAAAAAAD6k74d4IVC4d69e6n0bmVlFRIS4u3tzWQyJRLJM153vxCx+G+DP180EpuZmcmPt2/f/o/L6RkYGCxZsmTx4sW5ublxcXEPHjxQnBh/7NixgIAAff2O2cbd3b3TykUi0QtVCwNNVV3TveT8+OySjMJKbnlNZV1zU0ubUNzt00+kMlm7SNwuEje1CsqqGzvt82fIZ6qxVTTU2FoctrYGW19Hw0hXw0RXy9xQ28JUz8HCCNuDAwAAAMDA0bcDfGlpKTXgnBAyd+5cPz8/6jgrK4taMunlsNls+XFZWZm2tjZ1XFtbS62E//wUA3x+fr5igJdIJPKAzWQyGxsb5Q8dAgICHBwcHBwcFi5cWFFR8euvv8bFxVFf4XK5TwZ4gH+UXlARk1qYmFOcU1xVXFlf3dDKF7S/0Bt1GiEqKgwWU4WjxtJUU9VQY2tosLU4bLYqS52jqkKna6qzGXQ6IaSF3y4QiWRSaUNLW5tA2NLW3soXZFS3EamESCQ0iYRIxeSfVqlQCPmkijQ/oyeDRlNhqWiqqWprqJnoaZoaaDtaGrvZm/m4WFsh3gMAAABAP9K3A7zi6/GEhARPT08NDY2ioqIff/zxVS6rmLr379+/cuVKIyOjwsLCQ4cOveg7bR0dHRsbm8LCQkLI6dOnvby8TE1NCSFCoXDXrl3UHngcDufAgQMaGhqXL1+mRhPk5uauX7+eenBgaGioOK/e2Nj4VW4NBoLMwoqIhNyE7JJsbmVJVX1tU1t7u/D5kzqDQWezmLpaHGM9bTMjHWszg8GDDF3tzPW1NV6lKo8Np/72WSYjUglNIl490qqqrqmmrrm2saWRL2jlC9vahWKRRCyRPGfNEplM0i5qbxfVNLTkl1YrnqIRwlZl6mlxLIx1HSyNhzlbjvWyd7ExfZUbAQAAAABQlr4d4K2srOTbxYWHh4eHh7PZ7A7Tzl/iVbyzs7P8Ovn5+WvXrn3pCmk02pIlSzZt2kQIqaurW7VqlbW1tVgsLisrkz99mDdvnoaGBiFkxIgR0dHRhJCMjIxFixbp6OiwWKzq6mpqc3hCiJGRkeLDBQBCSGJ2yY0Hj+6nFeQW8ypqmlrb2p83q9MIS0VFS13NUE9zkLGu3SAjF7tBHo4WGmxWtxb856/TCENFxlB5Z3bA07qIxeJiXn1FdROvtqG6obm2nl/X1NLYzG/mC1r4Qn5bu0AkEonEEqlU9pR7lhHS1i4qq24sq26MTS86eu0BIYRGCIejaqqvaWtuONR+UICXfYCnPdbVAwAAAIDer2//m1VVVXXRokWHDx+WtwgEAhqNtmDBglu3blVVVRFC8vLypFIpnf4CO8ro6uouWrRo//79Hdo9PDxEIlFmZuYLFenl5bVixYp9+/b9P3t3HtdWne+P/5OVsC8JSxLWsAYoFChrW9tSu9CWblq9WqvOdZnr1XEcZ/k6/m5n1Dv2jtfRO+qMzthx67TTaWtr7UJ3SkspS9khYScbCSEQ1kAgZPn9cZyIdG8pAfp6PvzjnM/5nHPep1aTdz6fz/vYbDaLxdLW1jbx6NatWzdt2kRtv/zyyz09PY2NjdRuf3//xJ6urq7bt2+n0Wi3dXeYe2Qa/RWpoqpZdaGqtaJBabmFn6joNBqHzfLydOFzvUIEXHFowLyo4KiQmT6bg8lkigS+IsHNX+bcNzDS0qFTqrvlnT2a7n6tflA/YBgaHh0zjV+d29sIGR4Zax0Za1X1nC5p+N+/nyGEOLGYXC/XkACfOJFgYULospToQD9MvwcAAACAmWV2J/CEkE2bNvF4vCNHjnR0dLi5uYnF4pycnNjY2Pb2diqBb29vv3DhwrJly27rsrm5uUKh8NChQ0qlcmRkhM/nZ2dnr1+/nhpLv11r166Nj48/ceKETCZTKpU0Gs3X1zcuLi4nJycoKMjejcPhvPPOO5WVladPn9ZoNL29vUaj0cfHh8fjZWRkrFixwtXV9Q7uDrPduNlS3qC8VNN2ua69tF6u67vRgnAajTix2VwPV4G/d2Sgb2x4YLI4OIDnOW3ROoS3p0uaZ2haXOjVhzQ9/dUNKklbR6u6W6Pt7R0cGTWN265K68fGzZruAU33QHGd7G/fFhFCGHS6uytH6OsVGeybKg5ZPD88Iy70tn4KBAAAAACYWrSrv8jC3BAdHd3c3PzRRx+99NJLjo4FbpvNZqtpUZ8pa8wvb7pc1z5sNF2zG51Oc2Kx/LkeYULevIjAtHlhsSLhNXs63OQ18P9Ss+ORaY6EENKk7Cqvl9W3dsjU3V29Q4aRUcvVL7K/Co0QZw6bz/WIDPbLiAvdtHR+nAjL6QFgKul0OmqFHVbMAQDANc36EXiAuWRwePR0acOJYsnJYmlX7zVG2jlsVmKkMC02ZEFsSFJUUHSIn6Sjb/rjnO2ig/2jg3+wgqCn31BW117T3NGq0mp0/X1DI6Zx86SzbISMjJra1D1t6p6TxdI3/pbn6cpJjAqcHxmYGBmYHB0oDuMzGRiiBwAAAIB7BQk8gON19Q4dKaw9fKH2fEWTaXzy+9U8XDmL50csSgxflBieEhPMZjEcEuTcxvNyW7M4Yc3iBHuL2WyubOqobpJL2zqVnfrufsOIcXTSjKWB4dGLVa0Xq1qpXWcn1vyowFRxSGpsSFpcaLiQN52PAAAAAABzHhJ4AIfR9Q0dPF/9dX7Vpeq2SbXomAx6RnzYinTxitToFHEwA0uvpx2TyUyLm7yuvq2ju7impbZFLevottms3X1DQyNj9qPGsfHiOllxnYza9fVyy5gXlh4XujBBlBIT7DI95f0BAAAAYO5CAg8w3foNxm8KavadrThf3jwpb/d2d8nJil23cN7KDLGXm7OjIoTrCQ/0DQ/8rip+QjDXZrO1qXuqmzuqmzsqm1QVjUr9wLC9c3e/4Whh3dHCOkIIi8mYHxWYNU+0MFGUOU/E53o45gEAAAAAYDZDAg8wTUZN48cu1e89XX6yWDr2w/XVAVyPjUsSNy1JXJIciUXUswiNRosI9I0I9H04O4lqadf0XJEqrkgVpRJ5VVPHqGmcah83W6j2D/adJ4SECbhZ80SZ88IWJohiRXzMsAAAAACAW4EEHuDeslit5640/fNMxeELNYPDoxMP+Xq5PZSdtCU7adH8cKRwc4NIwBMJeI8+mEIIMY1bqppVJfWyy7XtxXUyTc+AvZtMo5dp9HtOXSGEeLhy0uJCM+PDMuJD0+PDMPMCAAAAAK4HCTzAPWG12opq2/afrTx4vnrSm9vdXZw2Lkl8bOWC7AXRGG+fw9gsRnpcaHpc6E8fXUYIkXf2FtW2FdfJimrbpe2d9tUTg8OjZ8saz5Y1EkLodFpMiH9abGjmvLCM+DBxaACdTnPkMwAAAADATIIEHmAqWazWi1Wt3xTUfFNQ3akfnHjIicVcnRn72MoFaxfGOzuxHBUhOEoo3yeU77N1VSohZHB4tKReVlwnu1zXXiaR2yvhWa02qUwrlWm/PF5CCPFw5SwQh2TGh6bFhabHhfK83Bz5AAAAAADgaEjgAabAgMF4pqzxeFH98aL63sGRiYcYdPqS5Mh/W5GyaWmit7uLoyKEGcXDlbMyXbwyXUwIsVitkvbOy7XtpRJ5qUTerNTZuw0Oj+aXN+WXN1G7kUG+6XFh6fGhmfFh8yIEWHYBAAAAcL9BAg9whyxWa2Wj6kxZ49krjZdr282WH9STp9NpixLDH85O2rx0fgBKjsP1Mej0hAhhQoTwPzYvJoT09BuoTL6kXn5FKp/4mroWVXeLqnv3yTJCiJuzU4o4eGGCKCM+LD0ulOvp6rAHAAAAAIDpggQe4DaMmy1VTapLte0Xq1ouVbf1G4yTOrBZjCVJkRuXJG54IAF5O9wBnpfb2oXxaxfGE0IsVmuDTFsqkZfUy0ol8kZFl9Vqo7oZjGMXKlsuVLYQQmg0WnSwX0Z8WOa8sMx5YTEhWDkPAAAAMDchgQe4iTZ1T0WDsrxBUSpVVDYqjWPjV/fx83ZfmS5ekxW3KkPsiSriMEUYdHp8uCA+XPDM+ixCyIDBSI3MU/n8wL9+P7LZbI2KrkZFF7Vy3svNOT0+LD0uNCM+ND0uFH8hAQAAAOYMJPAAP2AatzQqtDUt6tpWdVWTqrq54+phdooLh505L2x5avSDC2LmRwVizBPuNU83Z/vKeavV1qjQFtfJiutkJfWyJqXOZvtucL7fYDxVIj1VIiWE0Gi0mBD/tLiQVHFIWmzovAgBi8lw5DMAAAAAwF1AAg/3NYvVKtPoJe2dUpm2rk0tae9sVurGzZbr9ed6umbEh2UliBYliFJjQ9ks5ELgGHQ6LTaMHxvGpwbn9QPD1LB8UW17eYNi2Giiutlstga5tkGu/ep4KSHEicVMiBQuiAlOig5Kjg6KE/GRzwMAAADMIjMlga+srHzjjTeo7e3bt6empjo0nBkXD0wJs8Uq0+ilss4GuVYq65TKtI3yrlHTNabE27k5OyVGBaZEB6WIg1PFIVHBftMWLcCt43q62lfOmy3W+jZNcb2stF5eJv1BWfuxcfMVqeKKVEHtslkMcSg/MVKYECGcFy6YFyHw83Z3zAMAAAAAwC2YKQk8wJQzjo23qHSN8q5GhbZB3tWo6GpSaE3j1x1dp4QE+MSJ+AkRwsRIYUJkYGSgL+bGw+zCZNDnRwXOjwp8YfNiQkjv4EiZRF4mVZQ3KMoblLq+IXtP07ilpqWjpqXD3sLzcosX8cWhAbEifkyIvzg0ALUYAQAAAGYOJPAwF1isVqW2r62ju6Wju1nR1aTUtah0Cm2vvWT39fj7uMeG8eNE/NgwfryIHyfio+IXzDE+Hi6rM2NXZ8ZSu6quvopGZVWTqrKpo7ZVre7un9i5p99QUNlSUNlib/Fyc44M9osJ8Y8K9o8K9osM8o0I9HXhsKf1GQAAAACAEIIEHmad3sERpbZXoe1tV/fIO/Xtan27ulvWqb/p0DohRMDzjAkNiA0LEIcGxIYFxIbx8fZsuN8E+XsH+XtvXJJI7fb0G6iSjZL2zro2TYNcOzJqmti/32CcOOueEujnFR7oGy7kiYQ8kYAXHsgL5XPxXxMAAADAvYYEHmaccbOlu9+g7RnU9Axoega0+gFVV5+6e6BD16fU9hmMY7dyESaDHibgRof4x4T4R4cExIYFRIf4e2F0HeCHeF5uy1Ojl6dGU7tWq02u1UvbtVJ5Z5OiSyrTNit1A1e9iKFD19+h678wYaCeEOLu4hTC54byfYL9fQL9vYS+XsH+3gFcT6GvJ0bsAQAAAKbEnSfwCoXim2++kcvlnZ2dTCbT399fJBJt2LAhKChoUs/R0dGTJ09KpVKlUtnT0xMQEBAUFLRp06aoqKjrXbyrq2vPnj3V1dUjIyNCoTArK2vz5s0sFmtSN6vVWlhYWFFRoVKp1Gq1h4dHUFBQWFhYTk6Or6/v1Ze93f53/OC7d+/ev38/tb13715X1+8HprZv315TU0MIEQqFn3zyyTX7S6XSAwcOyOVyOp1Ohbd48WIabU6txNYPDJ8qaegZMPQODOsHhnV9Q939hp5+g67P0NNvuK1L0Wi0QD+vcCEvMsgvIsg3Msg3OiQgjM9FiXiA20Wn00QCnkjAW7co3t6o1Q82KbpaOrpblLoWVXeLSteu7hkbN086d2hkrL5NU9+mufqy7i5OAp4nz9vd18vNz9vN18vN28PV293Fx8PFw5Xj5e7s7srxdHV2c3FyYuFnZQAAAIDrusOvSocOHfryyy8ntgwNDbW2tp45c+bxxx9/9NFH7e0qlerNN9/U6b4vg6xUKpVKZVFR0bp165577rmr81KFQvH+++8PDw9TuzKZTCaTVVdX79ixY2Lnvr6+HTt2NDU12VtGR0d1Ol1FRcW333774osvZmdnT7zs7fa/ywe/Y/n5+Tt37rTvSiQSiURSXl7+yr+AEVMAACAASURBVCuv0On0a57ywQcflJeXT2p0dXV1c3O7+3jukZUv/2li6axb5O/jHuTvE+zvHcr3CeFzwwTf/cNhT/5xBwCmSgDXI4DrsSQ50t5itdpUur52dU+buqe9o0fWqZdp9Ept78QKeRMNjYw1KXVNE+rhXw+DTvdw5bg6szcuSfzjzx6esmcAAAAAmBPuJIGvr6//6quv7LtcLpfFYnV1ddlsNpvNtmfPntDQ0PT0dEKI0Wj87//+74nZu7u7+9DQd9/wjh07JhKJHnzwwUnX3717t9VqndQokUjy8/OXL19O7ZrN5rfffru5udnewcXFxWg02mw2Qsj4+PgHH3zg5eWVnJx8Z/3v8sHvxueff351Y0FBgVgszsnJueYpHR0dDQ0NkxrpdDqDMXOHoAcMI9ds93Z3CeB68LzchL6e/j4eQj+vAB+PIH8vPs8z0M8LiTrATECn00ICfEICfJal/GAi1cioSd7Zq+rqVen6Nd39qq4+rX5Ipevr7hvS9Rmo/9/emMVq7Rsa6Rsa+dOBC79+apW/D15rBwAAAPC9O0ngS0pKqO9hHA7nvffeo6aOazSa119/vbe3lxBSUFBA5bEnTpzQarXUWUuXLn322Wc9PDw0Gs1vf/vbrq4uQshXX321fPnySYPwVqv14YcfXrlyJZvNPnDgwPHjx6n2mpoaewKfn59vz8aDgoJ+/vOfh4WFjY6OHj58eO/evYQQm8322WefJSUlURe/3f53+eB3w2Kx5ObmbtiwwcnJqaCg4IsvvqB+zti/f//y5cvZ7DmylPT4/7145GKtqzOb6+nq6+Xm6+Xm4+nq6+WOee8As5cLhx0bFhAbFnD1IbPF2tNv6Ok36AeGu/sN+oHhvqGR/qGRAcNo39DIgME4NDI2PGoaHhkbGhk1W6yrMsR+3jN3DhEAAACAQ9xJAq9QfF+O2D7GKxAInnzySYlEQgjx8vKiGq9cuUJteHl5/fSnP6U6CwSCbdu2/eEPfyCEDAwMdHR0TFo2n52d/eSTT1Lbzz777KVLlwYGBgghHR3fz7jOz8+3B/Cb3/zG39+fEOLs7PzYY491dnYWFBQQQlQqVWtra2Rk5B30v8sHvxsZGRnPPfcctb1hwwaDwbBv3z5CiF6vr6ioyMzMvPtbzATRwX6/fGLy5Au4AwnBXEeHcEtsu19wdAjgSEwGnZqK7+hAAAAAAGaxO0ngvb29qY3R0dEXXnghOjo6JSUlOTl56dKlk5aRazTfVTNKS0ubOJ07PT399ddfp7YnFnijTJzHzmAwhEIhlcAbjd9VQrZarfal7MnJyVQ2brdq1SoqISeENDU1RUZG3m7/u3/wu7F69epJ4VEJPCFErVZP1V0AAAAAAABgdrmTBH7jxo3l5eUGg4EQYrPZGhsbGxsb9+zZ4+7unpKSkpOTIxaLCSGjo6N9fX3UKVzuDwYJnZycMjIyrnd9Z+cfvOvr6uLzw8PDFst3L/0WCoWTjk5soQK43f7Xc4sPfpcmRcjlctlstslkIhN+EJnEx8fn6udSqVRXlxIAAACYmdo1ekm7ukmua9f0dHT3d+mH+gZHBo2jI8Zxs9lstlpttsmFFGg0GotBZ7NZHq5O/t4eokBeSnTQspTo1NhgBz0EAADAvXUnCbxIJPrwww+PHz+en58/MeMdGhoqKCgoKCh4+umnN2/ebDZPfsnQ9Ji4iP1WMthb73+LD35HUd9ShNdbn//rX//66sbo6Gh7vUAAAICZwGQ2l9TJS+pl9e2dMk2PtmdQPzhsHBsfN1sJuXmZw0lsNpvJbDGZLYaRUU33QFWz6mB+FSGERiNebi4RgbyFieEPL0/OiAud+icBAABwhDt8jRyPx3vqqaeefPLJlpaWsrKy0tLSievD//73vy9ZsoTL5dprznd3d09NvIQQQlxdXRkMBjWoPnFhPGViCzXp/Xb738AtPvjEUyb9kDEycu3q63ZqtXriJH+9Xj82NkZtBwYG3vhcAACAGUXR1bfvdPmF6pZGWVdX79CoafyOLkMjdDqD2Og0Gp1Oo9FpFovVZiMWq/Wabzew2Ujf0MiVBuWVBuUf/3meQafzeR4LxCEPL5u/OXs+m3mHX34AAAAc7rY/w3p7ew8fPkxtL1myJCoqKioq6oknnujs7Pzss8/KysoIIRaLRaFQcLlcgUBALT4vLS0dGxtzcnKiTqytrd2xYwe1/bvf/S4iIuK2YqDT6VFRUdSL06qqqrRabUDA90WP8/Ly7NsxMTF30P/uH5zD4dhPVKvVnp6e1LZer5fL5Td+upMnT06sAjAxPCTwAAAw81U2qf52pOhCZatcox8bv6XpeAw6nc1munCceqwsG4NBmExCZxImw0ZnEgaD0BmEkModj1zz3HZNd5uyq0mubVF1qzr1Ov2gccw0Ma23WK0duv4OXf/hCzW0N7/iebovEAdvWZ70bytTkMwDAMDsctufW25ubkePHqVGs1taWl577TUqO/X19Z24DJsaQ05OTqYS+KGhoT/84Q8vvfSSp6enWq3++OOPqYFoT09PkUh0B3FnZ2dTCbnFYnnrrbdeffXV8PDwkZGRr7/+urCwkOoTFBRkr0h3u/3v8sEFAoG9ZefOnS+88IKfn59MJvviiy/Gx28y+FBSUrJz586NGzey2exz584dPHiQag8ICEhKSrqtPyUAAIDp0W8Y+cuhSwfzq6XyzjHTdZN2Oo3m6uzE83Lj+3mFBHBFgX5iUUBUsD/zX4l04uv7b/fWIoGvSOC7IiPe3mI2W4vrWi9WNNU1dyi7ekfHvv/ktdlId//QiWLJiWLJM2/v8ffxWJQoeiY3a0X6dX/BBwAAmDluO4Fns9mZmZmXLl0ihEgkkm3btnl5ebHZ7O7ubvs0Nj8/PyqDXbdu3alTp6h3pJeWlpaWlrq6ug4PD9uvtm3bNjqdfgdxL1++/PTp0y0tLYSQjo6OV199lcPhjI6O2jvQaLTnn3/evmj8dvvf5YOLxWL79dva2n7xi1/c1tMdPXr06NGjkxq3bdvGxEABAADMJBWNyg/3F5y90qjrHbrWZHbCYtL9fLyiwwIWiEOWpMbwuZ7TEBWTSV+cFLU4KYra7RscOXGp9kJFU7Oya9AwYo/TZrNp9QNf51d9nV/FYjCiQ/wfXZH84pYlHi6c614aAADAoe4kIXz55Zd7enoaGxup3f7+/olHXV1dt2/fTmXC7u7uv/nNb9588017yTd79k6j0R566KGVK1feYdxM5n/913+9/fbbzc3NVMvEbJzNZr/88suJiYl33P+abv3Bvb29t23btnPnzklXSExMHB8fl0qlN7jL2rVrjx8/PqkxNzd30aJFNw4PAABgGpjM5l3Hy3afLK1oVBnHrjGtjM1ihgq4mQkR65clhQl40x/hJN4eLo+vyXh8TQYhxDRuPl5Yc7ZUKm3vHDCM2AvnjVss9e2a+r9qfvPXY4H+3puXJv6/bav8fNwcGTcAAMBV7iSB53A477zzTmVl5enTpzUaTW9vr9Fo9PHx4fF4GRkZK1asmPhqd5FI9PHHH+fl5TU2NqpUqt7eXj6fHxYWtmnTprCwsLsJ3dvb+5133iksLKyoqFCpVBqNxsPDIygoSCQS5eTk8HiTvzHcbv+7fPDc3FyhUHjo0CGlUjkyMsLn87Ozs9evX//GG2/c+C5bt24NCQnJy8vTaDRMJjMyMjI3NzctLe32/4QAAACmzJnSxl0nyi5WNWt6Bq8uHUcjhOftnjZP9MiK1HmRM7diC5vF3JSdsik7hRBiGDUdya88UyJpVGjH/vVLhI0QVVffB/sKPtxfEOTn89Ta9F8/tZLNwgw4AACYEWjXLN8K02z37t3793+36m/v3r0Tfwi4Y9HR0c3NzR999NFLL71091cDAID7zbDRdPB81dGi+vIGhUbXb7Fe4wsDk8EQBfquyorfsirNjcO++5veYA18zXWK2E2JJmXXP44XF9e09fRPfgOrK4f97IaFP1qXER8uuOa5U0in01Evr5lYTAcAAMAOvygDAAAAIYSMmszHiupOFkvLpUqZVj88MnadjjRPd+f5kYGbV6Yunn/d4q+zS3Sw/5svbCSE9A2OfHnk0uliSVfvADXBfnjU9MG+8x/sO58WF/rchoWPLE92dZ6CnyoAAADuABJ4AACA+5TNZmtS6q5IFVekivOVzY2yLhu57rw8Zw47ItBvaWrMQ8sXeLjN2TJv3h4uP3ti5c+eWNk7MPyXr89XNyjaNT1Wq40QUiaRl0nkv/zw0LactOc3LRKHBtz0agAAAFMLCTwAAMB9xGyxVjQqL1S1FNW0F9e19w6OXK8nnUbz8nAND/ZbPD9izaL5Pp4u0xmnw/l4ur7+zLqEYK6qq++rvNIvjxXLO3sJIf0G40cHLvzp64tLkyNfeGjx+sUJTMadvE8HAADgDiCBBwAAmPtaVN2nSxvOXmksqGgeus7ceDaT6eLiFCbgJkYFLUkTJ0bM3Fp00ynI3/u/frT69adWnb3S+NdvLh0vqjdbrDab7XxF8/mKZqGv1zPrs55Znyn09XJ0pAAAMPchgQcAAJibxsbNF6ta84rq8y5L2tQ9V3dwdmKlxARnzgtLjQ1ZIA4J9veuVeqnP85ZgU6nrUwXr0wXd+j6Pzty+W/fFnXqBwkh6u7+tz7L2/HlyXWL5j23IWtFmphOpzk6WAAAmLOQwM8ITzzxxBNPPOHoKAAAYC7Q9Q3lXZYcL6o/U9poME4ebHd1Zi9KjFiSHPHA/IiUmGAWk+GQIGevQD+v3z675vWnVx2+UPPJocKLVa2EELPFevhCzeELNSEBPk+tzXhyTXoo38fRkQIAwByEBB4AAGDWs9lsNS3qvMuSY0X15Q0K6w9f+Uaj0RIihKszxCvTxZnzRGwWkva7xWIytixP3rI8WSrT/vWbwt0nrwwYjIQQhbb3rc/yfvfFiQfmR2zLSd+0NNHDdc4W/AMAgOmHBB4AAGC2GjAYz5U3nSppOFksVXf3TzrqwmFnL4hauzB+TVYcVmjfI7FhAR+8umXHCxv2n6v87MjlknoZIcRqtRVUthRUtrz47r6crNgt2clrFsa5OTs5OlgAAJj1kMADAADMJlarrapZdaqk4UxZY3Fdu9lindQh0M9rTVbcukXzlqVEOTuxHBLk/cbVmf2jdRk/WpchlXXuyivdc/IKtUJ+1DT+TUHNNwU1zk6sFWni9Q/MW5MV5+ft7uh4AQBgtkICDwAAMAto9YOnSxtOlzacvdLU02+YdJRBp6fGhqzJiluTFTc/CtXjHSY2jP/7Fze+/cL6M6WNe0+XHymspWr+G8fGjxTWHimspdNpC8Qha7LicjJjk6KCUPEOAABuCxJ4AACAGcpssV6ubT9VIj1V2lDTorbZbJM6+Pu4r0wXr8qIXZEWw/V0dUiQcDUGnb46M3Z1ZqxxbPxEseRgfvWJYsng8CghxGq1lUnkZRL5GzuP87zcshdELV8QvWxBlEjAc3TUAAAwCyCBBwAAmFm6eodOFktPFEvOljX2G4yTjrJZjKx5ohXp4lXp4sRIIY2GIdyZy9mJtXnp/M1L54+Nm/PLm44W1uVdlnTovqtW0NNv2H+2cv/ZSkJImIC7JCkyKcI/TRwo5Hk4NGoAAJi5kMADAAA4ntVqq2xS5l2W5l2WVDYpJ5WRJ4SEC3nUYPvSlEiUQ5t1nFjMnMy4nMw4Qkhtq/pkifRMaePl2vaxcTPVQabRyzT6LwkhhAT7ey1NiV48P2JRYnhkkK/DggYAgJln1iTwhYWFBw8e1Gg0JpPJz8/v008/dXREAAAAd6u733C2rPF0acOpkgZd39Ckoxw2a0ly5OrM2NUZsUjk5oyECGFChPBXT6wYNpoKq1vzy5vyK5prW9X2X22UXf278kp35ZUSQgK4HlnzRAsTRVnzRPOjAllMvAIQAOC+NjsS+Pr6+nfffde+Oz4+7sBgAAAA7ka/wVhU03ahsmVS2mYX7O+dkxW3JituWUqUC4ftkCBhGrg6s6ml8oQQ/cBwYXXryaLaojp5k6rb/rdCqx88VFB9qKCaEOLsxEqOCU6PDUmNDUmNDQ3l+zgyegAAcITZkcAXFRXZt0UiUWhoqONiAQAAuD3jZkuDXFvRqCqTyIvrZVJZ59VJO5NBz0oQrc6MXZMZFx8ucEic4EBcT9eNSxKzxHyz2TwwPNrWNXKppvVSTXtFo3LcbKH6GMfGi2raimraqF2el1tSVGBSVFBilHBeuDAq2I/JoDvuCQAAYDrMjgS+u7ub2uBwOO+99x6DgfljAAAwQw0YjDKNvrWju1mpa5BrpTJtg7zTNG65ZucwAffB1JiV6eLsBVGebs7THCrMTJ6unHWLROsWxRNCRkZN5Q3KSzVtpRJ5Sb1MPzBs79bTbzhT1nimrJHaZbMYMSEB4tCAWBE/OtgvKtgvMsjP2YnlmGcAAIB7Y3Yk8FarldpwdXVF9g4AAA7XOzii1Q929gxoegbU3f2dPQPKrj6ltk+p7e0bGrnxuWEC7sKE8AeSIpamROLlYXBjLhz2A0kRDyRFULvNSt2VBkW5VHGlQVnbqh4ZNdl7msYtta3q2la1vYVGowX6eYmEvHAhL0zACxNwQwJ8Qvg+fK4HXl4AADBLzfQE/v333y8oKLDv6vX69evXE0K++eYbeyYvlUqPHj2qUql0Oh2dTufxeEFBQWvXro2Li7N/Pn399de7du2itr/66iuZTLZnzx6FQsFms6Ojox999NGYmJjR0dGvv/66sLCwp6fH29s7MjJy69atgYGBk0JSKBTffPONXC7v7OxkMpn+/v4ikWjDhg1BQUH2Prt3796/fz+1vXfvXlfX79/Nu3379pqaGkKIUCj85JNPrtlfKpUeOHBALpfT6fSwsLCcnJzFixfjsxYAYNqYLdbufkOXflDTM9DVO6Tu7u/uG+rQ9ev6hjp7Bjp7Bu3Fw2+F0NcrIUKYHB2YIg5Oiw0N4OIlYXCHooL9ooL9tq5KJYRYrNYmRVd1s7q2taOmRS1p79T0DEzsbLPZVF19qq6+C5UtE9vZLIaA5yn08xb6evK5nv5c9wAfD19vNz9vd19vd66Hq6szKi8AAMxQMz2Bv6lPP/302LFjE1uUSqVSqSwqKtq8efPTTz999Sl5eXn79++32WyEEJPJVFFRUVVV9atf/Wr//v3t7e1UH51Op9PpSkpK3nvvPZFIZD/30KFDX3755cSrDQ0Ntba2njlz5vHHH3/00Ufv/ony8/N37txp35VIJBKJpLy8/JVXXqHTr722raWlpa+vb1Ijk8lkMmf9v18AgGmm7u5f/4u/1rVdo7bcrfBycw7hc8ME3IhAXkSQnzjEXxzG9/FwmfI4ARh0emwYPzaM//iqBVRL39BIg0zbINc2K3XNKl2zokvWqb96+YZp3CLv7JV39l7vyk4spo+Hi7eHi5e7i5ebs6ebs5ebs6+327/nZgX6ed3DRwIAgJuZ6QneqlWrEhMTv/32W7lcTghxdXV99tlnCSFUKnvp0qWJ2bu7u/vY2JjJ9N10skOHDmVkZMTExEy65r59+ya1WK3W3//+91ff3WKxfPbZZ2+//Ta1W19f/9VXX9mPcrlcFovV1dVls9lsNtuePXtCQ0PT09Pv7onJ559/fnVjQUGBWCzOycm55imffvrp+fPnJzU6OztPHPkHAIBbcbJYWtPScYMOLCbDz9td6Ofl7+Mu9PXy93EP9PMW8DyC/L0D/bw9XDnTFirAJN7uLlkJoqyE7wceLFarqqu/Xd0t0+jlnXqFtleh7VNpezv1g/baeFcbGzd36gc79YOT2ovrZCf++OK9ih4AAG7BTE/g4+Li4uLiioqKqASew+EsX77cfvTixYvUhre3944dO4RCodlsrq6ufuutt6h2qVR6dQLv6en5k5/8JCYmRi6Xv/POO0ND371318vL66WXXoqJiZHJZO+8847BYCCENDU12Ww2avp6SUkJNW5P1dKj5sxrNJrXX3+9t7eXEFJQUHD3CbzFYsnNzd2wYYOTk1NBQcEXX3xBlQDYv3//8uXL2WzMagMAuIfWLZq3aH7ZFamCxWSwmAwmg05tTNwlhJgtFnV3v7q739HxTjGj6TaWBtwLdPXkCWV2W1//63RGQnFmT+s3JbPZTH3TYLHuYfE5nrcbz9tt3Gz5/h+L1Wy2mC1Ws8VqtlgsFqvZYr16Eoqft/u9iwoAAG7FTE/gb4zD4SQnJxNC0tLShEIhIYTJZCYmJjIYDIvFQgjRarVXn/XUU0+lpaURQhISEpYvX3748GGq/emnn6baExMTly1bdvToUUKIyWQaGBjw8vIihCgUCvtF7CvwBQLBk08+KZFICCFUt7uUkZHx3HPPUdsbNmwwGAzUlAG9Xl9RUZGZmXn3twAAgOvx93E/+9HLnMU/HXN0Knt/ukG5l4b2zumLA67yky1Lfv/SRkdHAQBwv5vdCfyrr75q3x4aGpLL5QqFoqysjMreryc6Otq+PXGS+cR2Nzc3+zb1WzghxNvbm9oYHR194YUXoqOjU1JSkpOTly5dmp2dfXeP8r3Vq1dP3F21apV9zr9arb7WGQAAAAD3VnSIvxNrdn9vBACYA2b9/4hVKtWxY8eqqqquOdh+TU5OTrfVbrdx48by8nJqar3NZmtsbGxsbNyzZ4+7u3tKSkpOTo5YLL6t4K+Jmkpgx+Vy2Ww2tbBfo9Hc/fUBAODGmAy6+fJHjo5iZpHIOmua1M0dXZrugX6DcXh0jGpnM5he7i58nkcYnzc/KnB+lJBaYgB3RqfTmc1mQohAIHB0LAAAMBPN7gS+sLDw/ffft4+3M5nM0NDQhISEvLy80dHRKb+dSCT68MMPjx8/np+fP7Hq+9DQUEFBQUFBwdNPP7158+Ypv6/9BXLXe5PcmjVr4uPjJzX+4Q9/uBd/CAAAMLeZzdbzlS1nrzRUNCjb1D3d/cNjJpPtlkvyO7GYXE9XkYC7IDZkVXrsspQoJvPar1ABAACA2zWLE3iTyfTJJ59Q2XtISMjWrVtTUlJYLJbFYrEva59yPB7vqaeeevLJJ1taWsrKykpLSycujP/73/++ZMkSLpc78RTqp3S7kZGRG99CrVb7+/vbd/V6/djYdwMdV7+UnrJs2bKrG3fs2GE/EQAA4HoUXX3HL9UVVrfVt2qU3X0jxrFbT9evNjZu1vQMaHoGLtW2//Gf52mEuLtyRAJeWlxITlbsqoxYNl5xCgAAcKdm8YdoR0cHNZudELJly5aMjAxqu7GxkSrbPrV6e3vtvwssWbIkKioqKirqiSee6Ozs/Oyzz8rKygghFotFoVBwuVwO5/vXCKnVak9PT2pbr9dT5fRv4OTJk1RlPkpeXp59+3oJPAAAwC0aGTWdKpaeK2+pala1a7r7BkbMN/vQpNNoTk4sD1dnbw8XD1fnEu0IodEIjU5sVkIIsVhpFjOxWNytRuPYuMXyg6vZCBkcHq1u6ahu6fj0cBGNRlw5TsEBPomRgUuTw3Oy4gU8z3v3sAAAAHPMLE7gJ45sV1RUJCUlubm5yeXyP//5z/fidm5ubkePHqUG/FtaWl577TUqLff19Z24ap0aPJ+4dG3nzp0vvPCCn5+fTCb74osvxsfHb3yjkpKSnTt3bty4kc1mnzt37uDBg1R7QEBAUlLSlD8XAADMbTabLe+y5JsLtaX1MoVWPzJ6k48hGo24uXAEPM+IkIDkmOC0eSKhr/fEDomv7598C0IIIRd3PEII6R0YKaltLZfImxSdHV19hpHRicP5NhsxGMeksk6prHPv6SuEECaD7uPhEibgxoUJFyaKlqdGBfp5EwAAALiWWZzAh4SE2F8Xd/78+fPnz3M4nEmrvqdwKJ7NZmdmZl66dIkQIpFItm3b5uXlxWazu7u77WXq/fz8qNRdLBbbg2lra/vFL35xW/c6evQo9RK7ibZt28bEtEMAALg1UlnnH/cWnL3S2KHrs95wTjybxeB6uoUKfROjAxcmRMVF3FX5NB9PlzWLE9YsTqB2rVZreYOysLyhrkWt6OodNBhtPwzGbLHq+gy6PkOpRPH5scuEEAad7unGCfTzEofyM+LDVmfGRgb53k1IAAAAc8YsTgidnJy2bdv25Zdf2ltGR0dpNNrjjz9+9uzZrq4uQkhra6vVaqXTp6Z8zssvv9zT09PY2Ejt9vf3Tzzq6uq6fft2qs6ct7f3tm3bdu7cOekKiYmJ4+PjUqn0BndZu3bt8ePHJzXm5uYuWrTobh8AAADmumZF12/+dvxMaeOAwXjNDnQazdPdJcjPO0YkSI0NyZwf5cJh3bt46HR6WlxoWlyovaWmteNyRUt1q0qp6ekbGDaZJ7/51WK19g6O9A6O1LZq9p2t+NkfCYNO9/ZwiQjkZc4TbXggcVGi6N4FDAAAMJPN4gSeELJp0yYej3fkyJGOjg43NzexWJyTkxMbG9ve3k4l8O3t7RcuXLhmjbc7wOFw3nnnncrKytOnT2s0mt7eXqPR6OPjw+PxMjIyVqxYMfGt8rm5uUKh8NChQ0qlcmRkhM/nZ2dnr1+//o033rjxXbZu3RoSEpKXl6fRaJhMZmRkZG5ublpa2pQ8AgAAzElms/V/d5/+yzeXNN0DVx91dXEKF/qmxoUtz4iNCeVPf3gTJUYEJkZ8X9JlZHT8cnVzVaOySa5Vd/f1DQ6bxq+R0vf0G3r6DSX18v/bm0+n0/y8PRaIgx/JTn74wfmoigcAAPcPmu1uSs3CFNm9e/f+/d8tKdy7d+/EHwLuWHR0dHNz80cfffTSSy/d/dUAAGBmUnf3v/zegbzLkvEfDmXTabRQAffBjLhHVqb7eLpM4R2vXgNPqdnxyJRc3zRurmxQlkvbG2RaRWePvn94zHTddfs0Gi0y0O/nW7PXLIzncz2mJAAHwnvgAQDgxvCjNQAAwKx0Rar4yR/2VTSpJv4UT6ORUAHv8NgyzgAAIABJREFUkRWpDz2YOktfwM5mMTMSRBkJ38+THxsfL6pqKapuk7SpVV29xlGT/ZDNZmtWdf3493tpNFpKTPDGJQkPLUvCmnkAAJirkMADAADMMpL2zh1fndp3pmJiI8eJtTIz/pXHV3h5TOV4+0zgxGJlp8Vmp8VSuwbj2ImLNfnlTQ0yzaBhlKqCb7PZyhsU5Q2K//rL0flRgY+tXPDogymBfl4ODRwAAGCKIYEHAACYNS5Utrz3j3MniqUTV8D5+bg/t+mBh1akOjCw6eTm7LRlVdqWVWmEkDGTubdHn3dZcuxSvULbS3Wobu6obu749cffLkuJenJN+ual852d7mGhPgAAgGmDBB4AAGCmGzdbDpyr+uO+/MpGlb3Ric2MDA74yeMPpsaGOi40B3NiM1dlxK7KiP3g1S1VTapDBdUHzlW1dnQTQqxW27krTeeuNL383oHHVi54JjczKTrI0fECAADcFSTwAAAAM5e6u/+zI5d3Hi7q1A/aG7merv/50AP/+fADnYNjDoxtpkmKDkqKDvrvH+eWNyj+cap8/7lKrX6QEDJgMP7lUOFfDhWmxAT/eNOiRx9McXVmOzpYAACAO4Eq9HMWqtADAMxepnHLiWLJF8eKTxZLzRarvT1cyPvpvy17ak0GlYLWKvXTH9u9rkJ/uxKCuddsN1usJ4ulXxwrnlSi39PN+cmctB9vXhwT4j9dMd4qVKEHAIAbwwg8AADATGGxWi9Wte4/W3nwfFXv4MjEQ0uTI1/asmT94gQ6neao8GYXJoO+blH8ukXxWv3grhOln317uU3dQwgZMBg/OnDhT19fXJYS9Z8PLc5dPI9Bn5Xl+gEA4D6EBB4AAMDBBodHz15pPF5Uf7xI0tNvmHjI291l6+rU5zcuig0LcFR4s10A1+NXT6z4xeMPnitv+us3l45dqjNbrDabLb+8Kb+8Kcjf+/mNi55Zn+nn7e7oSAEAAG4CCTwAAIADmC3WikbluStNZ680FtfJJs7xJoQwGfQVaeJtOWnrH5jHYaOC+hSg02kr0mJWpMV06Pp3Hr70tyOXu3qHCCGqrr7tfz36u89PPJyd9MJDizPiwxwdKQAAwHUhgQcAAJgmo6bxigZlYU3bpZq2opq2oZHJJehYTMYDSREPLUvavDSR5+XmkCDnvEA/rzefX/f//Sjn4Pmqjw9eLK6TEULGxs17Tl3Zc+pKYmTg8xsXPrZygYcrx9GRAgAATIYEHgAA4B5SaHvLJPJSibykXl7VpBobN1/dx9fLbUV6zNqF8SvTxd7uLtMf5H2IzWI8tnLBYysXVDd3fHzw4j/PVIyMmgghNS0dL76771d/+uaR5ck/WpeZlSBydKQAAADfQwIPAAAwlRTa3urmjqomVWWTqrxBqesbumY3N2enhYnhy1Kili+ISowMRGk6R5kfFfjprx9/56WNu/JKdx4ualR0EUKGjaYvjpV8cawkKthv6+q0ratSQ/k+jo4UAAAACTwAAMBdMBjHGmTamla1pE1T26apbVH3DY1cr7Ovl1vmPNGi+eGLEkTJMcFMBoqfzxTe7i4/fXTZy48svVDVuvNw0eELNdRciWal7refHntj5/GM+NAty5M3L50f6Ofl6GABAOD+hQQeAADgVhnHxhvlWomsU9qulcg6pbJOeWevzWa7Xn8nFjMxKjAtNiQ1NiQ9LjQi0Hc6o4XbRaPRliZHLk2O1A8M7zl1ZVdeaXVzByHEZrMV18mK62Q//+BQSkzw+sXz1mTFJUYKaTTMmwAAgGmFBH66SaXS1157jdr+5S9/uXjx4hv3f//99wsKCgghHA5n//799zo8AACws1itbR09dW2a+jZNfbumvk3TrtZbrNYbnOLm7BQfLpgfFZgUFZgSExwn4rOYjGkLGKYK19P15UeWvvzIUkl7599PlO4/W6ns6iOE2Gy28gZFeYPiN58eC+B6rEiLyV4QvSQ5Mtjf29EhAwDAfQEJPAAAwHeGRsZqWzpqWtW1LerqFrVU1kkVNrseJoMeLuTFhwviRIL4cH5ChFAk4GE1+1wSJ+L//sWN//OfG4rrZAfPVx++UKPQ9lKHtPrBv58o+/uJMkJIsL93VoIoPT4sVRycGBno7IQ3/wEAwD2BBB4AAO5f6u7+mhZ1dXNHTUtHTYu6Td1zg/nwdDotjM+NEwliwwLiwwXiUP+Y0AAnFj5J5z4ajZaVIMpKEL330801LR3HiyQniiVXpAqz5bvpGMquPuWZin+eqSCEMOj06BD/eeEC+18SkYDHZmEiBgAATAF87ZhuPj4+ubm51LZAIHBsMAAA9xXj2HiDTFvXpqlv19S0qGtb1T39hhv053m5JUQIqUxsXjhfHMp3dWZPW7QwMyVGBiZGBr7+9KoBg/FCVUtBRcvF6ta6Vo19bYXFapXKOqWyzn1nK6gWBp0eEuATHsgTCXkhfJ/QAG4I3yfI35vP9cAqegAAuC1I4KdbQEDAc8895+goAADmvp5+Q2tHd5NC16ToalR0SWWdMs2NVrDT6bSIQN/EyMD5UYGJEcKESKGA5zmdAcPs4unmvH5xwvrFCYSQoZGxK1J5qURR0aisblbJO3sn9rRYre2annZNz6QrsFmMID9voZ9XsL9PSIC30M/b3Ynwfdz4XI/pewwAAJhVkMBf2+7du+0V4/bu3SuVSg8cOCCXy+l0elhYWE5OzuLFi6/+1VwqlR49elSlUul0OjqdzuPxgoKC1q5dGxcXZ+9cWVn5xhtvUNvbt29PTU21n240Gv/xj3+UlJTo9XpPT8+0tLStW7fe80cFAJjNLFarpntA3d3f2TOo0vV1dPXJO3tlnXqZuqffYLzxuS4cdmwYPykqMDFSOD8qMD5c4ObsND1hwxzj7uKUvSA6e0E0tdtvMNa3aaQybYOss0mpa1V1K7S9V/94ZBq3tKl72tSTE3tCiIcrJ9DPK9DPW8DzDPL39vdxF/p6+fm4B3A9/LzdscYeAOC+hQT+5vLz83fu3GnflUgkEomkvLz8lVdeodO/f4Xvp59+euzYsYknKpVKpVJZVFS0efPmp59++sZ3UavVO3bsUKlU1K5erz9x4kRVVdWtTLP/9NNPq6urJzU6Ozu7urre9FwAgNmrd3Ak85l3r5n/XI1awR4fLogT8eeFC+ZFCCODfBl0vIkdpp6Xm/OixPBFieH2FtO4RaHtlXfq5Z16RWevsqtXoe1Tans7ewbsC+knGhwelcq0Upn2mtd3dWbzPN18PF1FAu7//mRTSIDPvXoSAACYYZDA39znn39+dWNBQYFYLM7JyaF2L126NDF7d3d3HxsbM5m+q1186NChjIyMmJiY693CbDa/9dZbnZ2dk9q1Wq1We+0P74laWlrKysomNTKZTCYT/34BYC6TtGuul727OTsJeJ4CXy9qGDPY3yvQ33tiwTm1rl+t65+uSO+Vdt3g9N+UZhy+ZntpXfs0R0Lp7rqlX3BmAjqNJhLwRAKevcVitfUODOv6hrr7Dd19BrVOr+sb0g8a+4dG+w0j17vOsNE0bOxVaHurmlSBft7v/XTztIQPAACOhwTv5iwWS25u7oYNG5ycnAoKCr744gur1UoI2b9///Lly9lsNiHk4sWLVGdvb+8dO3YIhUKz2VxdXf3WW29R7VKp9AYJ/MmTJ+3Ze2xs7PPPP8/n8+vq6j788MPBQQd8OQMAmBWyEkQvP7J057dFxrHxSYcMxrFmla5ZpXNIYHPb9SYtvPD2rmmNAwhhMenLU6MdHQUAAEwfTB28uYyMjOeee87Pz8/T03PDhg1btmyh2vV6fUXFdwVmORxOcnJycnLyo48+KhQKCSFMJjMxMZHB+O61MTceSLeP3nt4eLzxxhsikcjZ2TktLe0Xv/jFvXoqAIDZj0Gnv//KQ/4+7o4OBMAxzv/5lTVZcY6OAgAApg9G4G9u9erVE3dXrVq1b98+alutVlMbr776qr3D0NCQXC5XKBRlZWUWi+Wm1zeZTPbh9+zsbA6HYz+UmJgYEBBwK7PoAQDuW89vWtQ/eJN6dQCzwsjICDXLz83N7Vb6BwV43+OIAABgZkECf3PUiLodl8tls9nU+naNRmNvV6lUx44dq6qqut18u7Oz02azXfNeNBpNIBAggQcAuIFfPbHC0SEATA2dTmc2mwkhAoGgUdFVWNVW3apqVfV06Qf0A8PDo6axcYvVYrXYrNQXh3f3nCWE0Ok0OqExGHQGk+7EZHCcWE4sBofFdnFmMxkMjhOT4zT5+x6TzvR05xBCXNgsT3dnPtczNMAnVsSPCvab7mcGAIDbgQT+TtjfCWffKCwsfP/99+3j7UwmMzQ0NCEhIS8vb3R09MZXs054r8zVr6aj30KF5Hfffffqxujo6IGBgZueCwAAAA5nMpuPXaw7eL6ypkWj7hkwGMf+9dv+zVksNgsh4xYLMZFrFxi8ZTRCOBw2n+sxL1ywZmHcYysWuHDYd3dJAACYSkjgb06tVvv7+9t39Xr92NgYtR0YGEgIMZlMn3zyCZW9h4SEbN26NSUlhcViWSyWw4cP3/T6fD7fvj1xSJ8QYrPZJrUAAADA3GAym/9x4sreMxVVLR19A8O3nLATGo1GI8RGI+Rf59huPd2/IRshxlFTu7qnXd3z7cXa//ifvTwv9yUpET/7t+z0uNApuQUAANwNJPA3d/LkyeTkZPtuXl6efZtK4Ds6OgwGA9WyZcuWjIwMaruxsXHi6Pr1cDgcHo/X09NDCDl37txjjz3m5OREHaqrq0MCDwAAMJf0DY38764zX5+vVnTqrddJvGmEODmxvD1c+VzPIL5PkL9PmIAn9PcR+Hm5OTtd8xTjmKl3cHjNu3nEaqXZbMRqIcRGqO8hNhuxWdfF+P7gBBvpNxhtNtvw8KhhdGxw2Dg8Yho1jU/8LcBGSHf/0Nfnqr4+V+Xm7PRgWswbz62NF/EJAAA4CBL4myspKdm5c+fGjRvZbPa5c+cOHjxItQcEBCQlJRFCqOVqlIqKiqSkJDc3N7lc/uc///kWb7FmzZpdu3YRQgYGBt54440f//jHAQEBtbW1H3300VQ/DQAAADjGxwcvfrSvoFXdfXXaTiPEw91FJOQlRgVlJUUmRwffyhq6iZyd2EJfNmGyyPcD8z/wuxdv6XXxSk1PQUVTSV17s1zbN/j9vACDcezwhZrDF2r8fdyfXJO+/d9zMLseAGD6IYG/JUePHj169Oikxm3btjGZTEJISEgIg8GgptCfP3/+/PnzHA5n0tL3Gw/Fr1u37ttvv6WWrEskkpdffnmKHwAAAAAcRNdreOWPB769WDtmMk865OHmnBAZtDpr3spMMfWlwuGCBbwnBbwncxcSQkZNpoNnK/MKa5oVXZZ/fZPp6h16d/fZ9/9xLjU25HcvrF+aFOnQeAEA7i8z4qNihlu7du3x48cnNebm5i5atIjadnJy2rZt25dffmk/Ojo6SqPRHn/88bNnz3Z1dRFCWltbrVbr9X5N53A4r7322ptvvjkp7ffw8AgICGhubp7CxwEAAIDp0azoev5//lFU1z5pyN3X2z07LfZHGxb6+Xg4KLRbwmGzt67J2Lomw2q1fnu++p+nSltVOmqOvcVqK6mXP/jih1wP16dzM377zBoMyAMATAMk8De3devWkJCQvLw8jUbDZDIjIyNzc3PT0tIm9tm0aROPxzty5EhHR4ebm5tYLM7JyYmNjW1vb6cS+Pb29gsXLixbtux6d4mLi/vTn/504MCBioqKvr4+Dw+PlJSUxx9/fNeuXUjgAQAAZpfufsNbn+X95eAl24T57GwW44GU6FeeWCngeTkwtjtAp9M3LU/etDzZYBz7eF9+3qXaQYOROqQfHH5vz7k/7s1Piwt968e5y5IxIA8AcA/Rpqps6Ryze/fu/fv3U9t79+51dXV1bDx3IDo6urm5+aOPPnrppZccHQsAAMD9YsBg/L+9+X/853mDcczeyPVyfXr94q1rMu713RNf33+9QzU7HpnCG5XWyz7557n6NvWkOnxe7s6Prkh567l1XM/Z990JAGDmwwg8AAAAwBQYNY1/fLDwnV2n9QPfvY6dTqMFBfi88sSKJSkxjo1tyqXHh6X/7tmR0fFP9p09erF2cPi7Afn+IeNfD1369JtLUUF+P3lk6Y83LaLRaI4NFQBgLkECDwAAAHBXLFbr7hNX3vzbcWVXH9VCp9Mezk76zTNrTLS5/F3LhcP6+VM5P38qp7S+/ZN9+fVtaqvVRgix2UiTUvfSH/a/9Vnev+dmPbZyQRxePgcAMBXm8ocKAAAAwD1ls9mOFNZt/+sxqazT3rg6M/bt/8hNjAwkhNQq9Y6Lbvqkx4vS40WmcfPnhwsPn6/U9Q5R7bo+w+93nf79rtNxIv6W5clblidHB/s5NlQAgFkNCTwAAADAnThRLHnzbyfKGxT2lrS40N//54YHkiIcGJUDsVnM/9iy7D+2LFN19X28L7+xXa3Q9lKHJO2dkvbjb+w8Hh8ueGjZ/M1L52NMHgDgDiCBBwAAALgNVqvtWFHdji9PT0zdxaEBbz2/buOSBCz5JoQE+Xv/z8sPJQRzWzu6/3mmYv/ZCqlMSx2qb9PUt2ne/FteZJDvhgcSchfNy5gXxrjOe3YBAGASVKGfs1CFHgAAYGqNmsb3nLzyx3+eb5Br7Y1hAu72f8/Zujr1mlnoNE+hn7Yq9LciIZhr365v0xw4V3nwfHWjomtSN18vt5ysuDVZcSvSYjzdnKc3RgCAWQYj8AAAAAA30a7p2Xm46ItjJT39BntjmID7/55c+dSadBaT4cDYZoX4cEF8uODN59dJ2jsPnq/+9mJtTUsHdai737Arr3RXXimLychKEK3KEK/OiJ0XLsBcBgCAqyGBBwAAALi2kVHTNxdqvjpeWlDZTNVXp8SJ+L984sFHH0xB6n674kT8OBH/N8/kyDT6I4W1xy7VF1a3mi1WQsi42XKhsuVCZcvrHx/hcz1WZohXposfTI3BK+UBAOyQwAMAAAD8wLjZcvZK4/6zlYcv1AyNjNnb6XTaqvTYnzyyZEVaDMaH71KYgPvTR5f99NFl/Qbj6ZKGvMuSUyXS7n9NcOjUD351vPSr46V0Oi05OnhVesyqjNi0uFAmA6vlAeC+hgQeAAAAgBBCjGPjZ8sav7lQc7Swrm9oZOIhfx/3p9ZkPLMhK1zIc1R4c5WXm/MjDyY/8mCy1WqraFSeKm04VSItkygsVishxGq1lTcoyhsUb395ysvN+cG0mNWZsasyYvlcD0cHDgDgAEjgAQAA4L6m6Rk4cVmSd1ly9krjsNE08RCHzVq7MO6ptRmrMsSolH6v0em01NiQ1NiQ//rR6r6hkfzy5tOlDadLG1RdfVSHfoPx6/yqr/OraDRaYqRwTVbcmqy41NgQ/KsBgPsHEngAAAC47wwbTUW1beeuNJ0pa6xtVU86ymYxshdEP7I8ecMDCaiL7hDe7i4PLZv/0LL5hBCpTHu6tOFUibSwum3UNE4Isdls1c0d1c0dO748xfV0XZkuzsmMW5kew/Nyc3TgAAD3FhJ4AAAAuC906PqvSBXFde1Fte0VjUqqcNpErs7sleniDQ8krF0Y7+3u4pAg4WqxYQGxYQGv/NuykVHThaqWE5elJ4ul7Zoe6qh+YHjv6fK9p8vpdFpKTPDqjNiV6eLU2BCslgeAOWmOJ/BSqfS1116jtn/5y18uXrz4np5+l7cDAACAqTJqGm9SdDXIu+pa1bWtmqpmlVY/eM2eEYG+qzLEa7LiliRHctisaY4Tbp0Lh52TGZeTGUcIaVR05V2WnCyWXqppNY1bCCFWq+2KVHFFqvjvz094ujkvSYpctiBqWXJkbBifTkfFQQCYI+ZIAn/kyJHh4WFCiEAgWLJkyRy7HQAAANyAcWxcpulp6+hp7ehuV/e0dnS3dnQrtL0TX/w2SQDXY0lS5NKUyOWp0SIB6tLNPjEh/jEh/q8+lj00Mna2rPFUifTUhNXyAwbjkcLaI4W1hBCup2tWgmhhQnjWvLDkmCD8RgMAs9rcSeB1Oh0hZMGCBdOTwE/n7QAAAIAyNm5uVXU3K3XNKl1bR3drR3dbR4+6u/+mJ7JZjHnhwtTYkLTYkMx5osgg32mIFqaBu4vTpqWJm5YmEkIk7Z2nSxvOlDVeqmkbGf2uHqF+YPhoYd3RwjpCCIvJSIgQpsaGpMQEJ0UFxobx2SyGI6MHALhNcySBvx4fH5/c3FxqWyAQ3OvT7/J2AAAAMJHBONYo10pl2ga5tkGubZR3yTR66u1iN8Zk0MME3JjQAHFIQKwoICFCKA4NYDGRqs1xcSJ+nIj/s8eyx8bNpfXygsrmgsqWMomCKn1HCBk3WyoalRWNSmqXxWSIQwPiRPz4cEFMiH9MaIBIwMXfEwCYyeZ4Ah8QEPDcc89N2+l3eTv4/9m78/CoqjRx/OfWvu97pZJUJWQFEgIhbAEUURFtgUZ7Wht1Ztre9Nd2z0x3O86DI7Zfp5unpbuVbqfVtl2acdQeN1BoXFhE1pBA9q1SqUrt+75X3d8fF4uQjSSEJCTv5+Hhuffcc+89N2il3nvOeQ8AAID5zOoO9Jic3QPObpOzrc/WbXIY7T4cH3UYPIFOpWhVYp1aUqSW6PKkxXmSIrVUC2HY/EanUtYuKV67pPjJf0aJVPp8h+lki+FUS9/Ztn7boFQIqXSmudcyeBkCCplUoBDp1BKtSpyvEGnkwny5UCbi5UkFbCZtJh4FAACuMDMBfHt7+/79+wcGBpxOJ4lEkkgkGo1m8+bNlZWVGHZFlpF4PH7o0KH29naTyeR2uxUKhUaj2bp1a0lJCVFhz549R48ezdVvaGj4xje+sWzZsieffBIh1NjY+NRTTxGHdu7cWVtb+7e//e2NN94gSp588slly5blzu3t7f2Xf/kXYnvLli3/9E//NPz0id4uV9PpdH744YdNTU3EI8vl8tra2i1btvB4vCE/HKPR+P777/f399tsNgqFIpfLdTrd3XffrdFoJvpzBgAAAGabRCrt8IYsTr/VHRhw+Ex2b7/Na7B5+iyuIWuwD0ciYVqluCRfXlYoL86TLtBIi/KkGpkQUpSBMdCplFWLdasW6xDagBAyO/0NHcamroGmbnNzr8XsvGL+RTqT1Vvceot7+HXYTJpCxJMKuRIBW8LniPlsEZ8t5rPFPLaYzxbxWEIeS8RjM+kwxx4AcB3NQAD/0ksvHThwYHCJyWQymUxfffXVtm3bHnrooVz5wMDArl27iNnmQ2reeeedDz/88JBofzzq6+tzAXxDQ8PgAP7ChQuDq030ymM4derUc889l0xe/l5iNBqNRuOhQ4d27txZXl6eK3/vvfdee+21weeGQqHe3t5PP/30vvvu+9a3vjXi9c1mcygUGlJIIpHIZOh8AAAAMGPeP3rxYo/ZE4g4vCGXP+z2hx3eoDcYHefpFDKpOE9aoVWWF8ordMryQkVJvgwykIFrlCcT5MkEW9ZVEbveYLStz9pusHf22zuNjl6zy2T3jThNIxJLjhbbD8akU8V8tpDHFvNYIh5bxGPdvrIidzsAALhG0x3AnzhxYnD0zuVyE4lELrJ97733VqxYUVZWhhCKxWK//OUvB0fvXC43F6YeOHBAp9Pdcsstt912W1VV1auvvkocKiwsvPvuuyWSUdPJyuXy0tLSrq4uhFBDQwOO47m3AE1NTbk6xcXFI54+0dshhPr6+nbv3p3JZBBCZDJZq9Umk0mTyYQQCofDu3bt2rt3L3GF1tbW119/PXeiWCymUqkOhwPHcRzH9+3bV1hYWFdXN/wWv//9748cOTKkkM1mczicMRoGAAAAXD+Hz3Tc88Qr468vE3J1aklJvmyBRlZaICsrUBTnSSHBGLjeRDxWfXVxffXlL37JVMZo9xptHpPDZ3b6Bhw+uydkdvldvpDLF75qCoZYImV2+gd37L964JT+/3Zp5MLr9QwAgPlkugP448ePExtCofDZZ59Vq9XpdPrChQtPP/00Ud7e3k4E8AcPHrTb7UTh+vXrv/vd7/J4PKvV+p//+Z8OhwMh9Prrr2/YsKGysrKysvKtt94iImqJRLJhw4ax27B27VoigHc6nQMDA/n5+QiheDze3t5OVKivrx+tb38St3v99deJ6J3FYv3qV78qLCxECDU1NT399NOZTCYaje7bt++xxx5DCJ0+fZqY6cdgMJ577jlizLzVan3iiSe8Xi9C6OjRoyMG8AAAAMBsw2LQMAwbMoOdSiHTqGQalUKnUhg0Cp1GYdCoDDqVSaeSSSSEkMXlt7j8Rxu7Z6jVUy8cT03n7Ug2x2iHfvj/3pjOliCEOIy5M1xCJuTIhByEUCqdSaYzqVQmlcmk0plUOpNOZ1LpbCp9uSSVzgxewlDC5/A5zJlrOwBgTpnuAJ7BYNTU1CCEli9frlarEUIUCqWqqopMJhNRbi5oP3fuHLEhEAgee+wxYjS4SqXasWPHb37zG4RQIBAwm82TmBm+Zs2aV155hfhK0dDQQATwra2tRAOICtf8oJdEo9Fcx/6WLVuI6B0htGTJko0bNx46dAghdPz48UceeYRCoRiNxtyJudHvKpXqgQceaGtrQwgJBIKpahgAAABwXa2pKjrx0r+s/cFvM5nLPZZEbHPVue5g0saYW3impW/62gG+VqlTfrb3xzw2Y6YbAgCYI6Y7gM9liUMIhUKh/v5+o9F49uzZXPCcY7VaiY3ly5cPnstdV1f3xBNPENtsNnsSbRAKhQsXLmxpaUEInTt3btu2bWjQ+Hm1Wq3Vaidx2RHlngIhFI1GP//889xu7pFTqZTD4VCr1ULhpbFV8Xj8hz/8YWlp6dKlS2tqatavX3/zzTdPVZMAAACA6VFXWUjCsKG/4AGYT3hshlQAUxoBAFNmBpLYDQwMHDhwoKmpKdfZPlw8Hvf5fMS2WCwefIhOp69YseIa27B1lXJvAAAgAElEQVR27VoigO/o6IhEImw2OxfAr1mzZhK58UZjs9ly2x988MEY1dRq9ZYtWxoaGsLhMEIIx/HOzs7Ozs59+/ZxudylS5du2rRpcLo7AAAAYPazfvzsTDdhkoLRuMMTcvqCTm8olkh7A5F0NusJhBFC6SzuDw1NxUchkwUcBo1KEXFZSgkvXykuzpMKJjhw2uVyEe/3FQrFVD0ImFkUyCgMAJhS0x3Af/nll3v27Ml1PlMolMLCwsWLF3/yySfxeDxXLZ1OX9dmrFq16r//+78zmUw2m21sbCwrKzObzcShqc0/P/ihxuByuRBCOp3u+eef//jjj7/44ovc+wuEUCgUOnr06NGjRx966CFivMAQN910EzERYLCXX345kUhcQ9sBAACAayXksma6CWO52Gv5sqm3uceqt7qsLr8/HAtHE8l0JpvNXm35+XEhYYhOo4r5bK1SXFOmuX1F5YbaEhKJNFr9VIxJfAWa5T83AAAAM2VaA/hkMvniiy8S0XtBQcH999+/dOlSKpWayWSG9E5zOJxcznkiuJ1aXC53yZIlDQ0NCKGGhoZcmF1QUDA8Er4WKpUqt717924iP98YJBLJgw8++MADD/T09Jw9e/bMmTODJ8a/+eab69atGzIkASF0xx13DL/U3r17x/n6AAAAAJgPovHkR8ebD53paOoymxzecCQ+FUH6WLL45ZzkX17U//7toxhCYiFnSUne9puq77+9jkGbgbGQAAAAblzT+mvDbDYT48MRQvfcc09uJHxnZ2d22JocKpWKyBV/5syZRCJBp9OJ8ubm5mefvTQe75lnnhltvberWrt2LRHAnz9/PtdTPYXp6wiDA3i9Xj84gM9kMqnUpcy0VCo1EAjk3mKsW7eupKSkpKTkO9/5js1m+/Of/3z27FniFKPRODyABwAAAMCIjA7fX/af/PRMV0e/PRiJjfMsMgkjk8lUKoVGIdOoZDqVSqWQe0MZhDBEQniuCx3HEIav0fCIvWQynUymw7F4LJGKJlKxeCKVygx5R4Aj5PaFPz3T+emZzh/86n9VUsHGuvKffvumSq1yqh4ZAADAHDatAfzggfHnz59fsmQJh8Pp7+//wx/+MLxyTU0NEcCHQqHf/OY3jz76KJ/Pt1gsf/zjH6PRKEKIz+frdLohZ3k8nnE2pq6ujkajJZPJYDB46tQponCi4+evejuBQKDVag0GA0Lo3XfframpUSqVCKFkMvn8888Ti+qxWKxXXnmFw+Hs37+fGJ7Q09Pz+OOP8/l8hJBUKiXS9RPkcvmEWggAAADMNw5v8KUPTxz4sq293x6Lj5rxHsMQg04T8ThKKa9AKdapZQVKSalWLuaPnHKs6ol3Rizf+/i9YzTG6vY3tvc3tpu6jLYBuzcST+QG5+MIWVz+1w6ceu3AKS6bUV9d9I+baurK8sb7nAAAAOafaQ3gCwoKcsvFHTly5MiRIwwGY8gw71xX/J133vn3v/+dWP/8zJkzZ86cYbPZkUgkV3PHjh25WWRCodDpdCKE+vv7d+/evWjRok2bNo3dGCaTWVtb+9VXXyGEiCXldDrd4A7zMYz/dhiGPfjgg0899RRCyOv1/uhHPyosLEyn0xaLJfc649577+VwOAihlStXnjhxAiHU1ta2Y8cOgUBAo9FcLlduEV2ZTDbOFgIAAADzSjKd/uvBc/9zuKGx0xSMjDyDDMOQgMvWqaXVpZpV1QuWlE3lpLnRqCQC1drqO9dWX2pnKn34ZOvh0+0tvebAoEx4oUj8k6/aPvmqjUGjLCvT/PzB2+9YWTENzQMAAHBjmdYAnk6n79ix47XXXsuVxONxDMPuu+++zz77zOFwIIR6e3uz2SyJROJyuU8++eSuXbty6dxy0TuGYd/85jdvvfXW3HWWLl1KdNfjOH7ixIl4PH7VAB4htHbtWiKAJ4y/+31Ct6upqfn+97//0ksv4TieyWT0ev3go/fff//WrVuJ7R//+Mdut7uzs5PY9fv9g2uy2eydO3dOYYZ8AAAA4EZ3sqXvT++fONrQY3X7R5zQTiaRlFL+krKCW1ZUrK4qHiOB3PSgUSl3rqu+c101QigYjv/v4dOHT7YZrZ7M1x0Y8WT6RLPhxL++SKdS6ioLf3TP2u03LZnRJgMAAJhFpjt1ytatWyUSyUcffWQ2mzkcTnl5+aZNmyoqKvr6+ogAvq+v79ixYzfddBNCSKfT/fGPf/zkk086OzsHBga8Xq9SqdRqtVu3bh2yVPv27dtTqdSxY8c8Hs/wJeVHs3TpUhaLRQzIRxOZAD/R223evHnhwoUHDx40GAwmkwnDMKlUWllZuWnTJo1Gk6vGYDB+/etfNzY2Hj582Gq1er3eWCwmEokkEsmKFSs2btw4uXXvAQAAgLnE7Q//9/tffnC0ucNgS6RH+C1MwjC5mLesUvuN9UuWlhdMfwvHicdhfG/b+u9tW5/NZj8+3vx/nzV0GGypr79XJFLp4xd6j1/opZLJixeod2xa/r2tq2kUSHoHAADzGoZPyTIpYPYpLS3t7u5+4YUXHn300ZluCwAAAHCt9n/Z+ur+k1+19HkDUYSGf3vB+FzmogV5d62r2lBbfj162kebA3/x2bHmwE/Up2fa3j54tlVvTqaGvpvAMJQvF92xauEj96wtK4CcOAAAMB/Be1wAAAAAzFIOb/D5d45+dLy5Z8CVzgxdsAYhRKVQivNlG2rLtm9czuMwpr+FU25jXeXGukqE0PHGrv/55Exzz0A8cWnNGhxHRrv3xfeOv/jecRaDVlWs3rJu8T/etUrEg0XjAQBgvoAAHgAAAACzy/4TLS9/+NWpZoNvUJq3HAzDZCLu8oW6ezbWLixWD68wN6ytKV1bU4oQuthr3nfg1Lk2w+Ckd9F48lSr4VSr4Rd/+JDHZlQVq29dUf7g5hUqCX/mmgwAAOC6gwAeAAAAADMvHEt80dD127e+ONViGLGznUGnVWgVm9ZU3b2+ijKfpoJXFedV/eQehJAnEN738alj57tNtstJ7xBCwUj8y4v6Ly/qd/7pAINO1SrFKxYV3rl60aZVFTBnHgAA5hj4WAcAAADAzMBxvEVvPXym8++n279q1o806xtTinmrliz4h9vrdGrpjDRy9hDzOT++b+OP79uIEDp5Qf/R8aYLHSZXIIRnL2cEiCdSHf32jn77X/afxhDicpi3Li/btLKyukRdoVVSKeSZaz4AAIApAAE8AAAAAKaVzRP8/FznZ2e7PjvXafcEh1dg0KkVOtVda6s21y+eV53t47equmhVdRFCKJvNHj/ffehUa2uv2ekJDh68gCMUDMf+9kXT375oQghRKeTyQsXiYvXCItXiYtXCIhWMtwcAgBsO/FIEAAAAwHXn9oe/vKA/2th95Hx3u8E+vIKYz964vOz2lRUymUQBgeW4kUik9bVl62vLiN0uk+PwV62NHf0GqzsUjg1O1p9KZ5p7Lc29llyJiMdaVKxeqFMuKlYvLlJV6lRsJm16mw8AAGBiIIAHAAAAwHVhdvpPXNR/dVF//EJvu8E+fOVaCplUW1Fwa135bXXlS8vzySQSQqjZ5JmJxs4Rpfny0vxLK8zhOE7OJLuMzgvdAxe6LS16i9npH1zZG4wea+w51thD7JJI2II8aVVJ3pISTU2ppqZMI+RCfnsAAJhdIIAHAAAAwNRIpTMXus2n2/pPtxhOtvQNOHwjVivNl22oLdtQW7q+ZgGfw5zmRs4fGIYt1KkW6lTfvKmaKPEGo829lha9tVVvbe61dBjs4VgiVz+bxbtMzi6T853PGomS4jxpbUXB8srCuoqCJaUamEIPAAAzDgJ4AAAAAEwSjuPdA67zHaZz7f3nOkwXus3xZGrEmgs00vrq4nU1C25aWgJTr2eKiMdaX7Ngfc0CYjebxQ02T0uvpUVvbem1Xuwx91k9gwdK9JpdvWbXW4cbEEJMOnVZeUF9ddGaqqKVi3RcFn1mngEAAOY3COABAAAAMF7ZLN5jdl3oHmjsHGjsGmjsGgiEYyPWJJNIi4pVqxfrVi8uWlNdBEH7LEQiYUVqSZFasmVdFVESiiYu9pibus2NnaaGDlOXyZH9OsV9LJH68kLvlxd6EUIUMqm6RLNuSfHaJcX11cU8NmPGngEAAOYZCOABAAAAMCp/ONamt7borc29luZea4veEoklR6ssFXCWVxYuryxctUhbW1HAYUIn7Q2Gy6KvqSpaU1VE7AYj8YYO46nW/jOthtOtBm8wSpSnM9mGDmNDh/G5//mcTCJVl+StXVK8bsmC1VU6mDYPAADXFQTwAAAAALjEG4x29ts7+u2dRker3tppdIw2j53AZdGrSzTLyvOXlefXVhToVJJpayqYBjw24+ZlpTcvK0UI4Tje0W//8oL+xEX98aZei+tSPrxMNnu+03S+0/Tbt74gkbAKrbK+qmjlIt3KRVqtSjyjzQcAgDkIAngAAABgPspm8X67p8fkbDfYu03OTqOjy+hw+kJjnyXisaoW5C0pyVtSqllSqinRyEgkbHoaDGYWhmEVWmWFVvn9rWsQQr1m1/Gm3uNNvceaenJvebJZvFVvbdVbX3zvS4SQXMStrShYWpZfU6qpLslTSwUz+QAAADAnQAAPAAAAzH2ZbLbP4mnVWzv67e0GGxGuxxIjJ5zLoVLIJfmyhTrVomLVoiLVomJ1vlw4PQ0Gs1xxnrQ4T/pPd61ECPVZ3UQwf+KCvs/qztVxeEMHTrQeONFK7Ir57EqdskKrLC9UlObLivKk+QohsXYgAACAcYIAHgAAAJiDrO5Aq97a3Gtt67O29tk6DPbR8sPnMOnUknx5WYG8XKsoL1SUFyoWaKSwchi4Kp1KolNJHtq8AiFkdQe+uqg/1WI43dZ/oXsgmcrkqnkCESLOz5XQqOQChahQKS5UijVyYb5CWKAQ5cmEaqmARoX/8AAAYAQQwAMAAAA3vGAk3tFvb9FbiYRzLXqrJxAZ+xSZkFuuVZTmy0oL5OWFipJ8eYFCiGEwHh5cE5WEf8+Gmns21CCEkqlMc6+5scvc1DVwocfcbrANyYCYTGV6Blw9A64hF8EwTCHi5smFeTKBRibMV4g0cmGBQpgnEyrEvOl7GAAAmH0ggAcAAABuJJls1uz0682ubpOzy+joNDqummoOISQXcSt1qoU6ZblWUVGoKNcqRTzIFg6uLxqVvKy8YFl5AbGL47jB5ukw2DuNjt4BV8+As8/iNrv8uZXqcnAct3mCNk/wXLtxyCEGjapVifMVokKlqEAp0irFhUpxgVIkE3Kn45EAAGCmQQAPAAAAzEYuf9jhCVrdAas7MODwDTh8JofPaPMY7d7Bw5JHxGbSKrTKxcXqhUWqhTrloiKVRMCZnmYDMBoMw4jB9ptXL8wVJlMZo91rtHkGnP4Bh9do95qdfrPDZ3L4RszREE+mOvrtHf32IeUsBq1QKSpQiAuUIo1cmC8X5suFGoVIKebBNBAAwFwCATwAAAAwrULRhDcY8QWjnkDEHQh7g1FPIOLxhz3BiMsXdnhDbn/Y5Q+n0leJ0nOoFPICjaxCq1hYpKrUKhcVq3QqCSSHBzcEGpW8QCNdoJEOP+T2h63ugMnuM9q9Aw6vyeEz2X1Gm8fmCQ6vHI0n2w32dsPQwJ5EwhQinkoqUEp4aqlALuLKRTylmCcTcWVCrkzIZTNp1+XBAADg+pi9Afzhw4f37t1LbO/Zs4dKpf7v//5va2trLBbLy8urrq7+h3/4BwaDkav/17/+9Z133iG233rrLTabnTu0c+fOixcvIoTUavWLL7444vUlEskbb7xx7ty5LVu2fPOb3yTKjUbj+++/39/fb7PZKBSKXC7X6XR33323RqMZ0lqn0/nhhx82NTU5nU4SiSSXy2tra7ds2cLjXZ6pNfYd//jHPx46dIg4+u///u8rV67MnRgKhb7zne/gOI4Quu222x555JFr+LkCAAC4Liwuv8sX9odjgXDMF4oGwjF/KOYLRX3BqC8UzW14ApF0Jjvpu5BImFoq0KklRA7wknxZaYG8SC2BPkYw90gEHImAs7hYPaQ8nkwZ7T6jzdNv8xJ/G2weo83j8I6wCGI2ixPDWEa7C5NOlQo4UiFXKuSIeWwxny3is8V8tojHEvHYUgFnUbEKUuUDAGaP2RvAD9be3v7GG28kk5cSn/T19fX19Z05c+Z3v/sdnU6/9uuHQqE9e/aYzWaEEBEnI4Tee++91157bUi13t7eTz/99L777vvWt76VKz916tRzzz2Xax5CyGg0Go3GQ4cO7dy5s7y8fDx3rK+vzwXwDQ0NgwP4ixcv5lpVX18//GpvvvlmW1vbkEImk8liwfxGAACYDj9/4f09b30xVVdjMWhyEVch5smE3DyZQC7iaYhsXnJhvlwE2bnBPMegUUvzZaX5siHlsUSq3+Yx2b0DTv+A3Wty+AYcPqs7YHb6o/HkiJcizjI5fKbRs0hsW1/9zrP/PGWtBwCAa3NjBPCvvvpqNju0v8Jisbz33nvf/va3r/36b7/9NhFL57S2tr7++uu5XbFYTKVSHQ4HjuM4ju/bt6+wsLCurg4h1NfXt3v37kwmgxAik8larTaZTJpMJoRQOBzetWvX3r17JRLJVe9YWVkpFAp9Ph9CqKGhAcfxXCrgxsZGYoPP51dWVg5vf3Nz85EjR4YUUigUKpU64Z8FAACAifvifPd4qnEYdD6HyeMw+GwGl83gs5kCDpPHYfI5TD6bIeAwhXy2gMNk0kf+9A6G461h65Q2fDbqsY/aWTqzsER8xPKOPts0t2T80tHoTDdhukkFXKmAW1NyxWDJUDTh8oc9/rDLH/aHoi5/2BeM+UJRtz8cCMf84VgynR7tghe6zaMdAgCA6XdjBPAIoQceeGDNmjU0Gu3zzz9/8803icKmpqYpCeDb29tZLFZ1dbVQKMzPz0cInT59muj0ZjAYzz33HDFm3mq1PvHEE16vFyF09OhRIoB//fXXieidxWL96le/KiwsJBr29NNPZzKZaDS6b9++xx577Kp3JJFI9fX1H330EULI5/P19fUVFRUhhHAcv3DhAnHWqlWryGToeAEAgFnn9z/d/v89925zr2XsauF4IhxPWNzT0ygwxUYbRX3/E3+a1naAaVRTqvndT7fPdCsAAOCyGyOA37p16/btlz4977nnntOnT/f09CCELJarfFUaJ4VCsXv3boFAkCsxGi8vW5KLmVUq1QMPPEAMVicqR6PRpqYm4uiWLVuI6B0htGTJko0bNxJD4o8fP/7II49QKFf8qIffESG0du1aIoBHCDU0NBABvNlsdrsvfddbs2bNlDwvAACAqbW6qmjHpuU/e+H9mW4IAGAq3b6yYtVi3Uy3AgAALrsxAviamprBuxqNhgjg4/GRB7NN1Pbt24fE0kKhkNiIx+M//OEPS0tLly5dWlNTs379+ptvvjlXzWq9PJQxGo1+/vnnuV2iWx4hlEqlHA6HWn1FCpbhd0QILViwQC6XOxwOhNC5c+eIafa5FwRCoXDE8fMAAABmg8XF6ofvXj3TrQA3tlgsRgwAhCw2s8Sy8vyZbgIAAFzhxgjgmUzm4N0pH0Y+JLpGCG3ZsqWhoSEcDiOEcBzv7Ozs7Ozct28fl8tdunTppk2biNR0NtvlaW8ffPDBaNe32WxDbjH8jgghDMPq6+v/9re/IYR6enoCgQCfz88F8KtWrSJBElQAAJitNtSWbqgtnelWgGkViibMTp/DF7I6As5AyB+MBiNxdzASjiYSqZQ/GM9k0pFYKp3NEEuaR+MphHCEUDyZJjYQQpkMns3iY98IIyEK+YrvACSMNDidIY1KyVWgUkgM6uWl0TgsGol0uSaDTmHQh379wxBJxJ/YKwMKiSTksrBRFiukUshi3uX1gBh0qoh7aVcp45MwRKdR5SIuQihfJiST4esNAACM140RwF9vw1PZ63S6559//uOPP/7iiy+IxHKEUCh09OjRo0ePPvTQQ9u2bRvnEACXy3XVOxLWrl1LBPA4jp8/f76+vr6lpYU4NMb4+V27du3cuXNIYW1tbTA4wkKpAAAAABiDPxzVm919FpfR5htw+R3eoNsfIYLzcCwRSySTqUw6ncngV4m6p1IGJVOZoYWx6bv/9YZhGIYhMkYikTAyGaPTaDQqmUGlsOg0HofJZdEFXKaEz5WJOEoxXyXjFyiEOpWExYAl3AEA887cDODTV6YSjU4qBatEInnwwQcfeOCBnp6es2fPnjlzZvDE+DfffHPdunUqlSpXsnv37rKyskm3mVBQUKDRaAYGBhBCDQ0NYrGYWJ1OKBRWVFSMdtZoA+3w6fxuAQAAAMx62Wy2w+joHXD1Wdx9VrfVHXD5Qi5fOBiJR2LJRCqdTmdm9HcnluuZn1dwHMdxlEUZlEEoRQxVuDoMQ1QymUalsJg0PoshEXBkIq5Kwi/SSIvV0oXFqkKF6Hq3HAAAptncCeAZDEZu22Kx8Pl8Ytvj8fT390/oUl6vNzceft26dSUlJSUlJd/5zndsNtuf//zns2fPIoQymYzRaNRqtbmz9Hr94AA+k8mkUpd+/VCp1HEO+8cwbO3atfv27UMINTY2isVionzNmjXYaMPUAAAAAPC1Pqunvc/WZ3H1mF1WV8DuCboDkUAkFo4kUqn0VHWbYxgiYRiZTKZSyDQqhU6jMOk0NoPGoFNpNIqAy2LSqQw6jc9mUCkUsYBNwsh8HotOI2MIKSSXvqKwaHTh+AauVz3xDkIIIRwNWVU3i//5H1cRm6lk1heM5I54AuHcErxZHPcOOoQQSiRToy2Nnk5nw7EJ5xhKJtLJ1NCV2NLZLDF3ACGE43gskSQeIpZMIYQy2Wwmk83iKJvJ4ng2i0+44wHHUTKdSaYz4VjC6Q31mIcOeEQIUSlkJp0q5DIlAo5GLtKqJOWF8iWlmkU6FYUCQ/cBADeeuRPAD+4Mf/nll3/4wx/KZDKDwfCXv/wlF0iPE4fD2b9/P5GFrqen5/HHHydeB0il0sFz1+VyuUAg0Gq1BoMBIfTuu+/W1NQolUqEUDKZfP75548fP44QYrFYr7zyCofDGefd6+vriQA+Go0SeeyJwgk9AgAAADAnBaPxDoO9rc/Wb/X0Wd02T9DlC3mD0XA0EU+m0pns1S8xJhIJo5BJdBqVxaBzWXQemyngsUR8tlTAlYm4crFAKeaq5SIKZUZWdcUQ6cr7ktCy8sKZaMn1kk5nHb5AIBT1h+L+YNTtD/pD0UA4HozEgpFYOJqIROPReCqWSKbS6XQ6m71azJ9KZ1LpTDASN9p95zsHBh+iUkgsBl3MY6ulfK1aUqlVVJdq6iq0HBaMzAcAzF5zJ4AvLy9nMBjEpHS9Xv9v//Zvk74UjUZbuXLliRMnEEJtbW07duwQCAQ0Gs3lcuXeDctkMpVKhWHYgw8++NRTTyGEvF7vj370o8LCwnQ6bbFYcsP477333vFH7wghlUpVXFzc29uLEEokEgghiURSWgqJkQAAAMwL/XZva6+11+LqNbmtbr/F5fcGIv5ILBpLptLpq6V7GxOGKCQyjUYmZlYLuWwhn62U8JUSvkoqyFeKClXSKXsMMCkUCkktFaqlwvGfYrS6TU6fzem3unxWV8AXiHgD4WA0FomlUql0JjvqO51UOhsIxwLhWJ/V/eVFfa6cTCaxGXQJn62RC4ryZIuLVcsrC2tKNNBjDwCYDeZOAC8UCnfs2PHyyy8PKa+qqkqlUu3t7RO62o9//GO3293Z2Uns+v3+wUfZbPbOnTuJMe01NTXf//73X3rpJRzHM5mMXq8fXPP+++/funXrRJ+lvr6eCOAJq1evhvHzAAAA5oZEKt1usHf02bvNDpPdZ3L4PP6w2x8OxxKxRCqdwa9lEjiZhNGoVCaDymMzRXy2iM9RSwVqqSBPIS4pUEw00Tq4IRSoJAUqyWhH0+lsr9nRa3L0W91Gm9fpCXqC4UA4Ho8nR4vtM5ks0eHfZ3Ufa7r8fUwh5lYt0OhUYq1aolOJi9QSrVrCYY6clhgAAK6TuRPAI4TuuusutVr93nvvmUymaDSqVCpvvvnmb3zjG0QP+YQwGIxf//rXjY2Nhw8ftlqtXq83FouJRCKJRLJixYqNGzey2ZcXR9m8efPChQsPHjxoMBhMJhOGYVKptLKyctOmTRqNZhIPsmbNmr/85S+DdydxEQAAAGBG+MPRVr29vc/WZ3UZrB6HJ2j3hgLheCgaT6XTmWvoQ8cwRKWQ6VQql8Pgc1hSIVcm4ubJhAUqcYFCUqgeNYoD8xaFQiorVJYVKocfSqfTnf2OLoO12+Qy2T1Ob9AbCEfjyVR6WMJ/hBBCdk/I7hnaISQTcrUqcVGeRKeS6NQSnVqiVYnVUsHUPwkAACCEEMIgUfns9Itf/KKjowMhJJVKX3nllUn0wJeWlnZ3d7/wwguPPvrodWggAACA+csbjDbrLZ19th6z22j32lwBlz/sC0ejsWQynbmWrxZkEolKpbAYVD6bKeJzxEJOnkyglgl1edKifAVnvi4b9nUSuxFcfPbe6WzJfJDNZruM9tZuc/eAw2j1OLxBXzCaSKbS2Sw+vtdPDBpVpxbr1JejeiKwp1PnVM8ZAGBGwOfILEWjXfqOAvnnAQAATL9kKmP3Bi1Ov80TaOoaOHK+2+kL+0PRSDyZTE0+RMcwRCGTaVQKl83gc5hiAUcu4qul/EK1pEAlLcqDKehg5pFIpHKtqlyrGly4OF+cSKX7bV6Dxd1ndRusHr2Z2HBHYkPz+ceTqXaDvd1gv/KymFoq0KrEuai+SC3RqSViPhsBAMC4QQA/G3V2dra0tBDbMH4eAADAdeLwhpze4IDTb3UHrC6/1RWwugNmp9/hDTq8ocldE8MwCpnMYlI5TKaIx5KIuAoRr0AlyZOJyrRKmIUOblx0KqU0X1aaLxtSbvcEDVZPn9WtN7sNVrfe4jZY3DZPcIxgheAAACAASURBVEi1bBYfcPgGHL7jg+bVI4T4HCYR1RflXYrqtSpJvkJIJkHOPADACCCAn11efPFFh8Nx8eJFYu3WkpKS4uLimW4UAACAG1U8mbK6AzZXYMDpt7kDZqff6g5YXH6iaz2ZGnmu79hIGEahkFhMBpdFFws4Yj5HIxeqZaIijbS4YP6OcgfzlkLMU4h5KxdpBxdG40mD1aO3uPosnj6i097iNtg8w/+nC4RjF7rNF7rNgwupFHKhUqRVSYhUeUVqSXGeVKeWMOnU6/48AIDZDQL42aWnpyeXf55MJj/44IMwfh4AAMDYvMGozR0wObw2d9Ds9Ftdfqs7MOD0290Blz88iQvy2Iw8mUAh5qulfJWEL+CxuswetVRQpJFBiA7AeLAYtEqdslJ3RfK8bBY3u/x9FvelP1Z3n8XTZ3F5g9Ehp6fSmZ4BV8+Aa0i5SsLXqYm+emkRDMIHYF6CAH52YbFYJBKJyWTqdLp777130aJFM90iAAAAMy+Zytg8AQsx1t0dMDt8Nk9wwOGze4IWlz+WSE30gjQqWSHiqWUCJRGlSwUqKT9PKpCLeflyIWtYiN5s8kzRowAwf5FIWL5cmC8Xrq9ZMLjcH471md16i0tvcRusHiK8H3D6ssNy5hGfACcuXrFosZDLIqL6IrWkKE9KRPWQCR+AuQoC+NnlmWeemekmAAAAmAE4jju8ISIgt3mCUzIjnc9hqqV8tVSgkvI1MqFCzMuTCdVSvlLCl4u4MMILgFlCwGHWlGlqyq5YeziZyhhsHoPFrbe4+yzuXrOrz+I2WD3x5NAXdr5Q9Hyn6XynaXAhk04lgnkiqifS5hUoRBQyTK0H4MYGATwAAAAwHbJZ3OELOb1Bs9Pv9IUtLr/DE7S4AnZv0OryO7yh0VafHgOZRJKLuHlyoVLM08iFSglfLeXnyYSKUTrSAQA3ChqVPDxnHo7jFlcgF8/rv94IhGNDTo8lUq16a6veOriQSiEXKES5BPi5nHlsJnxWAHDDgAAeAAAAmBrhWMLqCrh8Ibs3ZHMHXL6QxRVw+kJWd8DpDTm8oUw2O4nL8tgMtVTwdXAuUIj5GrlAKearZQK5iAupqgGYPzAMy5MJ8mSCtUuuSHLs9ocHx/O9Zpfe7Hb6ho7cSaUzvWZXr3no1Hq5iJtbtV6rEmtVYq1KopLwSSQYpwPArAMBPAAAADAuwUjc5gm6fSGXP2x1B9z+sNMXtroCLn/I4QnZvcFofOhy0OPEoFGVEp5KKlBJ+EoxTyUVKCU8Yka6RiaEzjEAwNgkAo5EwFleWTi4MBRN9Flceotbb748CN/s9A9/k+jwhhze0KkWw+BCOpVSoBQVKsValbhQKS5UigqV4gKlSCbkXu/HAQCMAQJ4AAAAAMUSKZc/7PKFnL6Q2x9x+cN2d8AdiLh8YYcv6PKFnd5QIpWe9PVZDJpKwieWm1JJ+HIx7+tYna8Q80U8WB0dADDFuCx61YK8qgV5gwuTqUy/zdP39dT63PL1w3NhJlLpbpOz2+QcUs5i0AqVonyFqFAp1siF+XJhgUJUoBQpxDwYEATANIAAHgAAwBwXjMSdvpAnEHH5wu5A2OULu3whdyDi9ofdgYjDE3QHwpHYJDvPCRQySSrgSIVclZQvE3KVYp5czJOLuGqpQCLgqKUCLos+VY8DAACTRqOSS/JlJVdOrUcI2TxBA7FevdXz9R+31R0Yngk/Gk+2G+ztBvuQciqFrJbyNXJRgUKkkQvyZMI8mSBfLlTLhPCOEoApBAE8AACAG1UylfEEIx5/2B2IOL0hdyDs9kc8gbAnEHF4Q+4AcSicTE04OdwQdCpFKuTIRFyFiCcVcmRCrlzEkwo5ChFPIeZJBByZkANJ3QEANy6lmKcU81Yt1g0uTKYyRru33+bpt3mMNq/B6um3eYx2r90THH6FVDrTb/P227xfDjvEYtDy5UKVVKCW8vPlQoWEr4EVMQCYLAjgAQAAzEbBSNzlD7sv/Yl4ghGnN+j2R3JRutMXHp54eRKoFLKEz5YIuTIhRyrgSAUcsYAjF3HlIq6Ez5EIOEoJH/rPAQDzEI1KXqCRLtBIh5THkymj3We0eYx274DDZ7L7+m2eAYfP4vKnMyOk6ozGk51GR6fRMfwQlUKWi7h5l9a5FMhFPLWUTwxfkgq5chHMtwdgqLkTwDc2Nj711FPE9s6dO2tra8eu397e/vjjjxPbP/vZz+rr66fhpgAAAMbTbe4JRK5lwnkOi0EjRrZLBGwJnyMRsMV8jlzElQjYUgFXxGfLhBwhF8Z2AgDABDBo1OFL3CGEMtms3RM02rwDTp/Z6Tc7fANOv9nptzh9dm8Ix4eOxkcIpdIZs9NvdvpHvBGVQpYJuUT2ELmIq5LwJQIOsSsRcOQiLnyAg3lo7gTwAAAAZhYRmfuCEbc/4g1GiAxwRGTuCUSIyNzlDwcj8Wu/F4mE5QJyiYCd6zmX8DliPksm5BI5mZl06rXfCwAAwHiQSSS1VKCWCoYfSqYyNk/A7PCZXX6bOzjg8FndAYvLb3MHrK7AaG9sU+mMxeW3uEYO7xFCdCpFIuBIhRyFmCfhc6RCjpjPlot4Ej5bIuCI+GypgAMz8MEcAwE8AACAsSRSaV8w6g1G/aGoNxj1BiPeYNQXjHiDl3bdgYg3EPEGI6FoYkruyGLQJHy2VMiVCjliHlsq5Ih4bJmIKxVwJHy2WMAhvplNyb0AAABMAxqVXKAQFShEIx51+cNOb2jA4XN4Q2aX3+kNWlwBhzdocwfsnlA8OTRDfk4ilR47wkdfv/AV89kiPlvEY4l5bBGPJeSxRTyWiMcS8dhCLkvAYwq5LOjPBzeE+RvAi0Siu+66i9hWqVQz2xgAAJg2qXQmGIn7w7FAKBaIxHyhaDAS94digXDMH4r6QjF/OOoLxfyhqD8U84Wik17bfDgKmSTms8X8kbvNpQKuVAjd5gAAMO8Qvw4qdcoRj/rDMZs74PKFre6A0xdy+UI2d9DlDzt9Ibsn6PaHh6+BN1g2izt9IacvNJ6WCLksAZfJ5zAFHKaAy+JzGHw2k89hctkMHpsh4DAFHCaPzeCwGDw2g8ui8znMyTwwANdg/gbwCoXi4YcfnulWAADA5EViyUg8EYomAqFYOJYIRePhWIKIxsPReCiaCEbiwUg8EIkFwvFgJEbsTmFAnkOjksU8onODiM/ZRFe5mMeWCNhiPlvEY0thtjkAAICJI8Lm8sJRK4RjCSKSJxKdOn0hty/sJmZv+cPeYMTlC/vHl/TUF4r6QtEJNY/PYXKYdC6LzmLShFwWh0lnMWgcJl3IZTEZVBaDxmMzuCwGg0bhshhcFp1Jp7JZdA6TTqdSIP4HkzBnA3iHw7Fv374LFy5Eo1G1Wr1q1apt27ZRqZd7dcbIPxeNRt97770TJ044nU6BQLBq1ar77rtv3759+/fvRwip1eoXX3xxcjclOJ3ODz/8sKmpyel0kkgkuVxeW1u7ZcsWHo+Xq3P48OG9e/cS23v27JFIJG+88ca5c+e2bNnyzW9+cwp+QACAGRVPpmKJVCiaSGcy/mAsmU4T0XgimfaHY7FEKp5M+YOxWCIZT6Z9oWgskYrEEsFoPBxNROPJSCw50W8Yk8Bm0kQ8Np/DFPFYQi6L+FvAZYn5bCGXJeazRTyWiM8W89kcJiRpBwAAMDM4THpxnrQ4b2i2/MHSmaw3GPEEIr7g0Olg/nDMG4z6QtHA18PQJrT4aCAcu5YlUZh0KoNG5XMYNCqFw6Iz6TQGjcJjM8gkkpDLopBJXBaDRiWzmDQGjUpUzv1Np1FYdBqVQmKz6GQSicdmIIQEHCaszDe3zc0A3mg07tmzJxKJELsGg8FgMFy4cOHZZ5+96n/QTqfzP/7jPxyOSwtduN3ujz766MKFC8XFxVNy01OnTj333HPJZHLwiUaj8dChQzt37iwvLx9+5VAotGfPHrPZjBAaMYGn1+uNxYZ+cJBIJBKJNHabAQCTFozEPzh2MRiJRxNJhFAwHM9m8WgimUim05lMKJrIZvFAJIbjyB+OZrN4MBzPZLPBSJw4OiNt5rEZPDaDx2YKuMxLQwG5LD6bwecyhVwWsSvgMPkcppDHEnCYVAp5RtoJAAAATC0KmSQTcmXCca1LF40n/eGYPxQLRmL+UCwQiQUjcV8oGorEA+F4MBIPRS8NcAuG48QIuEhskqPbYolULJGa8pfyHCadSiFTKWTiDTuPwyCRMBqFwmbSEELEC4LcUeKNAEKIw6JTKCSEkIDDwjAkFXDuql9EhoBilpmbAfxf//rXbHboKpRtbW1ffPHFhg0bxjgRx/Hf/va3ueidRqPJ5XKz2WwymUwm07XftK+vb/fu3ZlMBiFEJpO1Wm0ymSSuHA6Hd+3atXfvXolEMuQib7/9NhG9j+a//uu/jhw5MqSQzWZzubB4JgDXy8PP7vu/Ixdm5NYcJp3NpLEZdD6XyWHSiV0hl8Vh0bksOptJ57EZxCg+ImInZu7B8HUAAABgPFgMGotBU0n4EzrLF4qGo4lIPBmJJfyhWCSeiMZTRKgfS6SisWQgEosnU5FYMhCOJVLpcCwRiSYSqXQgHCfG5U3hI4Rjl7oKxjn5fzRPf+/OJx66bSpaBKbM3Azgs9ns9u3bb731VhqN9u6773788cdE+cWLF8cO4M+fP9/W1kZsr1y58l//9V9pNJrX633mmWd6e3uv/aavv/46Eb2zWKxf/epXhYWFCKGmpqann346k8lEo9F9+/Y99thjQ67c3t7OYrGqq6uFQmF+fv6EfhQAgOskkx1hOMzYKGQSCcMoFDKGYVQKmYQhCoVMJpHIJIxCJpNJGIVCJpMw4qU4mUQik4kN7OsNEoVMGq1XfBLT9gAYv0B06lMngPEjOUZ9j/+L3707nS2Zt/gs2kw3AcwdxNT34cMB0plsFsdTqXQWR+lMJpPJZrM4UZjOZLI4nkpnEY6nMhkcR6l0BuEolcng+KU6RP0sjqczWYRQKp1GOMpk8cywLsbxG2MJADBT5mYAf/PNNz/wwAPE9ne/+90TJ04EAgGE0Nj92AihAwcOEBssFusnP/kJjUZDCIlEop///Oc/+MEPhnewT+im0Wi0qamJ2N6yZQsRvSOElixZsnHjxkOHDiGEjh8//sgjj1AoV/y7KBSK3bt3CwQjLKoJAJgpLz9xH4dJ++uhc+M/hfiFmkxPYGYdAAAghMaY/vfp6bbpawcAYD75+Y5b/uMfb5/pVoCh5mYAX1NTk9smk8lqtZqIpYdPFB8iN05++fLlTObltJAKhaKqqioXfk/uplarNVchGo1+/vnnuV2iWx4hlEqlHA6HWq0efOXt27dD9A7AbCPkslZXFU0ogAcAAAAAuFF8o34xnTo3o8Ub2tz8JxkceyOEhueBH1EikXC73cS2XC4fclStVo8dwF/1pjabLbf9wQcfjHYdm802JIAfsgsAmCW+dcvSDbWlM90KAMDc4fF40uk0Gul7CLgePP6I3Rv0BiK+UCwYjcXiqSye9QavmI7E5zCpZDKLQeWymBIhW8Rjq6Q8HgtW/wJz30SzAIDpMTcD+MkZnBl+eLL3EdO/T0g8Hh9PNZfLNaSETr/K+kx1dXVCoXBI4dtvvz34iQAAU45IETfTrQAAzB0cSpYI4FWqoRltweR0Gh2nm/ta+qx9Fo/F5fcEIv5wLJ5IpTOZSaQyGYxMIlGpZCaNSizqIRZyNTKhRs7XqcRlBcqSAqmAA6lDAQBTDwL4yzgcDovFikaj6Mrh7oSrzp+/KpVKldvevXt3WVnZNV4wZ/v27cMLX3/99atOGQAAAAAAmDMauwY+PtlyuqW/2+h0+EKxRPKa+19GlclmM4lsPJHyhaLGkSpgCFEpZBqVwmJQOUwGl0Xnc5nEQp4SPlvEY/HYTBGXLZdwBRymiM8ukAthAWAAwFVBAH8ZhmEqlYrINn/27NlAIMDnXxo3YjQam5ubr/H6gwN4vV4/OIDPZDKp1KUcj1QqlUyGtZcBAAAAAK7C5Qvv+/u5T061t+otHn94/J3qGEJkMolMIdPIZBqNTCFTWAwaCUNsxgjDHsPxBI6jaDxpj2VRNoOyWSybQdk0GvN2OELJdCaZzoRjCacvPM6GkTCMQiZRKGQmncph0vhclojH1sgEBUrRwiJVVXHeAo10nJcCAMxJEMBfYc2aNUQAn0wmd+3a9eijjyqVyvb29r179177EHqBQKDVag0GA0Lo3XfframpUSqVxL2ef/7548ePI4RYLNYrr7zC4XCu+VEAAAAAAOYgfzj66kenPjh+sbnXGo4mxqiJYRiDThVwmFIhVyEVFMjF+SqRVi0pVMlYjHElSBqi6ol3rtjHcZRJY5kMyqS3lUkcvqAvEAlGYqFIPJFKpTPZ7MRH6WdxnAj7o/GkJxBBdt/Qh0KITqOK+Kx8mbBcp1i9ULdxRblaCtmOAZgvIIC/wp133rl//36Px4MQ6u3t/clPfjKFF8cw7MEHH3zqqacQQl6v90c/+lFhYWE6nbZYLMSEN4TQvffeC9E7AAAAAMAQn57t+tMHJ05c6PUEwqP1qjDoNKWYV1wgr1qQv7K6SHu9UwlgGKJQcQoVIfTkD74xYhWT3Wtx+F3egNsf8gYi/kjMH4rGY8lYMhVPpmOJZDKVSWcyyVQ6m8Uz2Ww2i4/daYQjFE+mrK6A1RU43db/l/2nEUIUMknMZ5doZHULtXfVL1q9WHc9HhcAMBtAAH8FGo3205/+9Je//GUiccULXZVKpVAoGhsbr/H6NTU13//+91966SUcxzOZjF6vH3z0/vvv37p16zXeAgAAAABgbojGk396/8Rbhxta9dZkOjO8AomESYXciiL1uiUlG1ctZNIn069+XeUrRPkK0UTPsrsDdk/A6gxYnV6HL+jwhFy+oDcYCUUSyVRqeMd+OpN1eEMOb+jLi/rf7PuMRMJEPHZ5gXz90pJvb1xaUgCLGgAwd0AAP9TixYtfeOGFDz/8sKury2w2K5XKhQsX3n///fv27bv2AB4htHnz5oULFx48eNBgMJhMJgzDpFJpZWXlpk2bNBrNtV8fAAAAAOCGZnT4fvs/n390vGXA4R3eGY1hSCzgLCkr2Fy/eG3N3FzLUyHhKyT86lEezukLNbb1N/eae0wOs8PrC0aTqfTgCtks7vaHv/SHv7yo/+WrB2kUcp5MWLdQe+8t1ZtWLKRQIFUeADcw7Nqnds8TL7744sGDBxFCGo3mD3/4w0w35+pKS0u7u7tfeOGFRx99dKbbAgAAAICrczqdXy8jp7pq5bnnWFPPC+8cO9bU6wtGhh+lUSllhYrbVy/atmEpjTozXVBD58APcvHZe6ezJUOE48nj57rOtvV16K0Wlz8aHzU1AIYhmYh774al9926bEmphkKGYB6AGwz0wF+hq6uLWK2dQqFUVlYOPpRbRm5+/k4FAAAAAJhy6Uz2ZHPff73x9+NNvYlkengFAY9dV6n99uYVi4vzpr95NwoOg3ZH/aI76hcRu8lU+lhD57HG7tYei90TGNw/j+PI4Qm98M7RF945ymXR66uL1y8tualmQdWCPBIJm6HmAwAmAAL4K+zfv5/IBo8Q+u1vf1tUVERst7W1tbS0ENu5QgAAAAAAMAkmh+/TMx1/P93xeUNXIBwbchQjYWqp8OblZTvuXCXmQ3LfCaNRKRtXLty4ciGxa3X7Dxy/cKa5r8fkDEfjuWqhaOKTk22fnGxDCIn57JuWltyyvOyW2rJC5YQn7QMApg0E8FdYt25dLoB/6qmntm7dKpVKe3t7Dxw4QBTSaLSbb7555hoIAAAAAHBD8gajxxp7jpzv/vxcZ5fJObwCjUopLZBvrq/etmEJhQLfUaeMSiL43rb139u2HiEUjaesVnu3yXm8qfdkc184dmmwvScQ+dsXTX/7ogkhVJov21hXftuK8nVLFrAYtBlsOQBgOPhwvEJtbe0///M/v/rqqziOBwKB1157bfBRoVD405/+VCaTzVDrAAAAAABuJA5v6Ktm/ZdNvceaelv7rMPTpzPp1HU1C26rqxBJBItgkPz1x2JQt62vRgg9/sCtqXSmocP0xfnuIw1dp1oMia9H2neZnF0m5953jzFo1Prqok2rKjetrFygkc5owwEAl0AAP9Tdd99dV1e3f//+rq4up9MZjUalUqlMJlu2bNltt91Go8FrSAAAAACAkWWy2fY+26nW/tOthlMtfT0DrhGrVWiVt9aV3VpXXl9dTKz91mzyTG9LAaJSyCsXaVcu0v7HQ7dF48kTF/Wfne08fLazVW8lKsSTqU/Pdn56tvNffvd/CzTSO1YtvGNVZX11MY1KntmWAzCfQQA/AoVC8fDDD890KwAAAAAAbgBmp/9cu/Fcu/FMe//5DlNuVPYQWpV43ZIFNy0ruXlZqVLMm+ZGgrGxGLRb68pvrSvfjZDVHTh8puPQqfbPz3X5QlGiQs+A6/dvH/n920e4LPoty8vuWLVw08oKBfw7AjDtIIAHAAAAAAAT4PaHGzpMDZ2m852mhnajzRMcsRqGYeWF8tWLi9ZUF62tLtbIhdPcTjA5Kgn/oc0rHtq8IpPNnm4xHDzV/snJtuZeC3E0FE28f/Ti+0cvYhhWU6rZvLryjlWVNaX5kMQegOkBATwAAAAAABhLKJpo6ho4225s6DCe7zQZrKMOd+exGbUVBSsqC1cs0tZVakU81nS2E0wtMom0uqpodVXRMz+4y+z0f3Ky7ZOTrV80dEfjSYQQjuPnO03nO01P//mgTMi9bUX57SsrbqktE/PZM91wAOYyCOABAAAAAMAV0plsu8F2urX/XHv/2XZjR799eP45Ao1KXlycV1uev6y8oLaioKxADj2xc1KeTPC9Lau/t2V1LJE61tjz8Vetn5xsM9q9xFGnL/TmwbNvHjxLJpGWluffurzsluVldZWFVArMlgdgikEADwAAAAAAkNMXOkMkn2s1nO80RWLJEauRSaSyQvkyImIvz19cnAcpzeYVJp16+8qK21dWvIBQW5/tk5NtB0+1nWzuS2eyCKFMNnu2rf9sW/8zfznEZtLWVBWvr1mwvmbBklINhUya6bYDMBdAAA8AAAAAMB9ls3hHv/1kS9+plrEyxiOEdCrJsor82vKC2oqC6pI8DpM+ne0Es1alTlmpU/7sO7cEwrHPG7r+frrj8JmOAYePOBqJJf9+uv3vp9sRQhwmfcUi7apFupWLtMsrCvgc5ow2HIAbGATwAAAAAADzRSSWbOgwnmjuO91iONXS5w/HRqzG5zCXVxTUVRYuryysrSiQCjjT3E5wY+FzmNvWVxMrzLcb7J+d6/z8XNfxpp5Q9NKSBOFY4rOznZ+d7UQIkUhYab68tqKgplSzpCRv8YI8LgteCQEwXhDAAwAAAADMZf027+lWw+lWw6kWw8UeMzHUeQgiY3xdZeGqxUV1lQVlBQqYyg4mp0KrqNAqfnzv+nQme77TdLSx53hT78lmfS6YJ4Z+dPTb3/jkDEIIwzCdSryoWL1Qp6zUKcsLFSX5cpiXAcBoIIAHAAAAAJhT/OFYQ7vxXIfpbHv/uXajfZRl3lgM2rLy/DVVRSsWalcu0gq5kDEeTCUKmVRXWVhXWfiLHRsz2WxLr/Wr5r4zbYazbcZe8+X5GjiO6y1uvcX9wbGLRAmZRNKqxCX5srICebFGVpIvK1JL8mQCDIOXSgDM4gC+vb398ccfJ7Z/9rOf1dfXz2x7AAAAAABmJ7sn2KK3NnUPNHWZm7oG9BY3jo+cNF4tFaxcpF25SLtqka66JA+ShIPpQSaRqkvyqkvyHtm+FiHkDUYbO03nuwYudJsv9ph7za7Byxxkstles6vX7PrkZFuukEmnFuVJi/OkxXmSojxpkVpSrJHlSQUwVATMN7M3gJ8qH330USQSQQipVKp169bNdHMm5oZuPAAAAACuB08g0mV0dPTb2w32Fr21VW91+kKjVaZRyVUL8lZUFtYt1K5arMuXC6ezqQCMSMRj3bK87JblZcRuNJ7s6Le36m0d/bZ2g72z32G0ezPZK+Z6xBKpVr21VW8dXEinUnRqiU4tKc6TFuVJitQSnVpaoBDBCHwwh82LAN7pdCKEli1bdsPFwDd04wEAAABwjWyeoMnuNVg9vWZXn8XdbXL2ml1uf3iMU0gkrEQjW1qWX1tRUFtRULVAzaBRp63BAEwCi0FbWpa/tCw/V5JIpXtMzu4BZ8+A6/9n7z4Dorj2NoCfrXTYxaX3JiBKU7BXLMEKii0kahKNSdRrEqNpr0ZNNEqiMZYk12uJJsaIDdGgMSrVBiJFRUB6Z+ksLMvW98OYDQFUQGApz+/TzJkzM/8lBZ49M+c8yeNnFJQ9yeeXVjb/oqpRIqVep2/ayKDTLY25tmY8G5MBtuY8W1OejekAK2N9HuZihD6h5wZ4fX39WbNmUdumpqaqLQYAAACgK4glMn6VoLi8pqSiNi27oKSitqCsprJOXMCvyiupEoklL7yCOps1yNbYzd7M1cHcE3N6Q5+gxmIOtjMdbPevCCAQNmYWlFFP12cVlmcUlGUWlBeWVTc7VyaXZxdVZBdVNGvX0VSzMhlgbaJvbTLAwohrYci1MOJaGnONB+gy6FijHnqNnhvgjY2NV6xYoeoqAAAAADqoSiCsrBVW1tRX1NRX1NZX1NRX1tSX19SXVtaWVdVV1NSXVNRWCYTtuqaWBnugpZGjpaGzjYmztdFgW1M7cx7iB/QHOppq1Iv0TRtFYklmQXlGQVlmYXlWYXlmQVlWYXluSWXL1RYEwsaWD+ETQpgMuvEAXQsjrskAPTMDPWOenilPz0hfx5SnZ8DVMeBo4zV76FF6boC/f//+5s2bqe2NGzd6eXkRQq5evbp//36qcffu3SwW6/fff3/48GFDQ4O5ubm7u/uiRYvU1dWVHSIiIpQXvHfv3uzZs4cNG7Zp0yZlI5/PaiGF9AAAIABJREFUv3DhQkJCAp/Pp9PpRkZGXl5efn5+urq6yj7Nbsrj8Y4fPx4XF+fn5zdv3rx2ldT2+7aleAAAAOhONXUNAmGjQCiqrRfV1otq6hqq6xqqBQ01dcIqQUO1QFglaKisra+mcnut8FkzybUFjUYzGaBraaxvbaJva8azMeXZmfHszHlmBpxO/EQAvZ06m+Via+Jia9K0USqT55VWZhWUZxVV5BRVZBWV5xRX5hRXtPr6iVQmL+BXF/Cbj+RT6HSaAUd7gJ62AVfbkKvD09MaoKfF1dUcoKfF1dHU19Xi6GhwdDQ52hoaanhXBbpDzw3wL5SSknL8+HGxWEztZmVlZWVl3b17d8+ePWpqbXpy7Pbt27t27VJegRCSm5ubm5t75cqVjRs3Ojs7tzxFIBDs3r27oKCAENLyt3IbS+rAfZ8vLCwsMzOzWaOamlrLLw4AAADgOYQi8eb//ZFTXFlT3yASSxsaxTWCBqFIXC8S19aLOv12PI62IVfbgKtjZqBnyNXhaLL0ddTNeLquzvZmBhxMxAXQMUwG3daUZ2vKa9Ze19BITSqRX1qVX1pVwK/OLaksKqspLKtulEhbvZRcriitFJRWCkj2C27KYjI42hqrF0z4fNm0TvkUAK3qxQH+yJEjcnnzZ2MKCwvPnTu3ePFiQsi0adPc3NyOHDkiEAgIIdbW1nPmzOHxnv6XnJWVFRQUJJPJCCEMBsPGxkYsFufl5RFC6urqtmzZsn//fmVnpVOnTlHpvWMltf2+zy++mfDw8PDw8GaNbDa7jV9kAAAAAOVY2N3dJ2+87FVohKOtwdHR0NXW4GhrcLQ1OdrqHB1Njo4GV+fpwB1XT2uAjiaD8a9H3ysqKqRSKSFEQRQFZVUvW0av8qzxz55FKn7WkQJ+r/nnpc3s+IMhfYC6GsvZxtjZxrhZe2WtsKxKUFJZW1ZVV1opqKip41cJyqvrq2qF/CpBfcMz/9ErSaSysuq6Hcf+RICHLtWLAzwhZMmSJWPGjGGz2devX//ll1+oxoSEBCotu7i4uLi4nDx5ksrAPB7Px8dHee6xY8eoFK2pqbljxw5ra2vq3K1bt8pkMqFQeOLEibVr1za7Y0pKiqampru7O5fLtbS0JC08v6S23/f5xQMAAEBXcLM3Y7EYEonspa6iINWChmpBQycVBT3Fc56ImP2f77uvDuip1NnMda/iL3boWr14yhN/f/+AgABjY2N9ff358+c7ODhQ7YWFhS88VygUJiQkUNt+fn5UiiaEeHh4TJkyhdqOioqivgVvytjY+Keffvrkk09Wrlzp7e3d3pI6fF8AAADoBqNcbR+d3KjqKgCgV3pj5sjNK2aougro43rxCLynp2fTXQsLiydPnhBCRKIXv6JWVPTP/JNCofD69evKXWp4nBAikUhKS0vNzMyanhgQEMDhPHPymBeW1OH7AgAAQPcw5Gr7eDmq5NZisZiaYQcvwQH0RgOtjFRdAvR9vTjAa2hoNN1lMNox0UtxcbFyOyQk5DndmgXp5+fqF5bU4fsCAABAuygUipvJ2dGJT5Izigr5VWVVdXUNjY0SqUQqk/09YQ2bxaTTaDRC01BnUbtqzFb+NKprbFTIFYQQYaOE/HsKW3U2i81m6Gpp6Otq2ZrwBtkZj3WzG+rUykt2bcHn86mn8ExNTV/YGQAA+qFeHOBfRltG6QkhZWVlzVpe8hvxDt/3+T799NP333+/WePkyZOp9+cBAAD6ibKqukOhN6/cSXmUVVJT1/DCVdyEIsnTrdpOuHsESac2aDSanpa6k7WRzzCnN+eMsjLidsLVAQAA+m2Ab/rFdlBQkJOTU6++r76+fstGuVzeckp8AACAvuf6vbR9wZE3k7OqautVXQshhCgUiuq6hjsPc+48zNn28xUtTbVhTpZvzBzx6tRhdHovnn4IAABUDgGeZGZmNg3SMplMInn6fTyLxWrXk/k99r4AAAB9z/nwxH1nIu8+ymkUtzL5K41GNDXUjbja5sYDLIz1LQz1jXh6AzhaXF3Npt3KqwQSmbyhUSIQiAghDY2iOqH4u/D0p5cghNCeRm4FnU5o5NcVE+g0mpYmu7ymnhDS0Ciprq4vqagprazN51eVltWUVwkaGsVNh/7rhY2R959E3n/y1rYTLrYmb80audJvLJOJJA8AAO3WjwJ8RUWFcpvD4djY2GRnZxNCTp8+7enpaWJiQggRi8V79+6NiooihGhqah46dEhbW7sTa+jwfZsWDwAA0J9diEza83v43Uc5Ymnzxd5oNJqhvq6Ho+W00S6j3Qa2JSSbGbTyfPvuO89c0WaIgzm1YW1q8Kw+Uqn8VvKTG7Gp9x/nFpdVyeRP47xMJk9+Urh295kP95xztTdbNW/sslkjX1ghAACAUt8P8Fwul8/nE0JycnKCgoKGDBni6+tLo9GWLl26efNmQkhlZeV7771nbW0tlUoLCwuVS7gtWLCgc9M7IaS99221+M4tCQAAoFe4EJn0/amIu49yGiXNx9vZLKaztcnsie6zxrkzmap/hI3JpI/zdBzn+XQq+4i41DPX7yWm5gtFjVSLTC5PSM9f/vVv7wadGu5itS5wyqyxg1VXLwAA9Bp9P8APHTo0LS2NEKJQKGJiYkQiEZWBPT09V65cefDgQYVCIZPJMjMzm54VGBjo7+/fFfW0677PKh4AAKCfOH09/sCZqLiUvFZyO5vpNtAycPpwZVTumSZ4OU3wciKEpOYUHwmJuZ2UUd/wNMlLZLKY5KyY5P+qs1njh9q/O3uEp4OxSosFAIAere8H+ICAAIlEEhkZWVFRoVxrnTJjxozBgwdfvnw5Ozs7Ly+PRqMZGBi4uLj4+vpaWFh0XUltv+9zigcAAOirFApFbErupz+E3E7OkbT49cdmMd0cLV6fNXqMm71KyuswJ2uToPfnE0IeZRQdOhdx91G2qPHp9DciseTP24//vP1YS4M91s32q3fnuP/9rD4AAIAS7YUrrEAv5ejomJ6evm/fvtWrV6u6FgAAgBeTyeU3k7LORSSGRCYV8KubHWWzmK4DzV+bMbIbxtvdPgt+1qGk7Qs68Ua3EjOPhkYnp+dJpM0XjtHT1pg2wvnTpdOG2GFNeAAAeKrvj8ADAABATyaTy6MTM09fvx8SmVRaKWh2VE2N5T7Q8rWZo0a72amkvC41yt1ulLsdISQs+sHJy7dTc0tksqdJvqauIfja/eBr9znaGtNGOH+CJA8AAAjwAAAAoBIKheL2g+xT1+LPhieWVNQ2PUSn04a7WM8cPcTS0sTF1kRVFXan6WOHTB87RC6Xn/3r3tkb8Rn5fPnfc9dX1zWcunb/1LX7HB2NVQHj35071niArmqrBQAAVUGABwAAgG71OKfktz/jTl69l1Nc2bSdQaePcbebN9Hdb7ybKU+PEJKc179WUaXT6fOnec+f5i2VyoKvxoWE388qKJP//bZjtaBh29ErXx/7c7Sr3XwfD/8J7iZI8gAA/QwCPAAAAHSHipr6k1fv/XI5Nj41r2k7nU4b624/f5KH/wR3I30dVZXXozCZjFenj3h1+gipVBp89V5I+P2swjJqTF4uV0QnZkQnZrz/3ZkxbnbzfTzn4ucGANBvIMADAABAF5LJ5Vdupxz74+6lmw/Ekn9NKe/tYr1oytD5Pp4YSX4WJpP5d5KXlZVW/HHr4fmIxOKKWkKIXK6ISsiISsh4f/eZcR728308505w43G0VV0yAAB0IQR4AAAA6BLpefyfL9359UpsUXlN03Z7c4NXpw17dZqXvbmBqmrrdZhMxrSRztNGOu/5ICAmKfPMjYRzEU/nDpDJ5eHx6eHx6f/ZFTxx6MCASR5+490G6GmpumQAAOh8CPAAAADQmeoaGs/eSDxy6fat5Kymq9XqaKotmDx06fThI4fY0Gg0FVbYq9HptHEe9uM87Pd8EBCdmHH6RsK58ER+lYAQIpXJ/4pN/Ss2ddU3pyYMHThvovucca6GXDxdDwDQdyDAAwAAQCdQKBQ3k7OO/XHn9PWEuoZGZTuNRhvrbvfGzJFzJ7hrabBVWGEfQ6fTxns6jPd0+P7DgIj4J6ev3z8fmVRRU08Ikcrk12JTr8Wmrv4meOQQm1ljh8waM2SgpaGqSwYAgJeFAA8AAAAvJbOw/MSVuBNXYjMLy5u2mxlwls4YvmT6cDwq36UYdLqPl6OPl+P+9Qtv3Es7cyPhQlQyleRlcnlMUmZMUubH+0PszQ1eGTloirfTOA8HHU01VVcNAAAdgQAPAAAAHVFSUXvmRsLvf8XffZTT9FF5Nosxa8yQZTNHTB3uzKDTVVhhf8Nk0KcOd5463PmHDYsi7z85F5EYGpVMzXhHCMkoKNt/OnL/6Ugmgz7M2Wqcu/1oN9sRg23wtjwAQC+CAA8AAADtUFxReyEy6cyNhOjETJlc3vTQMGerJdO9F00Zpq+rqarygBDCZDwdk9+3bsG9x7kXYx78cfNRckYhdVQqk995mH3nYTb5lRBCBloaDnO29HS09Bho7jbQnKOtocrSAQDguRDgAQAA4MVSsksu3XwQGvUgNiWHWpBcydKI++o0r8BXvJytjVVVHrSKTqd5u1h7u1h/uXJWUXnN1buPr8elhcenl/w9LE8ISc/jp+fxf/vzHrVrbaI/xN5ssK3JEDuzwXYmAy2NmAw8RgEA0FMgwAMAAEDrautFEffTr95NvXL7UU5xZbOjRvo68yZ6LJzsOcrVFrPK93ymPL1lM0YsmzGCEJKaW3ozKfPWg6zYR7lpeaVNv5HJKa7MKa68GP2A2mWzGM7WJoNtTYbYm7k5mA22MzUZoKuaDwAAAAjwqpKSkvLJJ59Q2+vXrx87dqxq6wEAAKDUN4hvP8iKSsy4cS/93uNcqUzerIO5IWfOOFf/Ce5j3e3winsv5WRl5GRl9NbsUYSQmrqGhPSC+NS8pCcFiemF6XmlTf+hiyWypCcFSU8KyJ9xVIsBR9ttoLmbvdkQe1NXezNna2MWk6GajwEA0P8gwHet0NDQ+vp6Qoipqen48eNVXQ4AAEAr8kur7j7KufMw+2ZyVkJafsvQTqPRPBzNZ4waPHPMYE9HC4y39yV62hoTPB0meDpQu40S6ePskgeZRY+yipIzih5lFReWVTftX1ZdR61RR+2ymAxna+MhdqYudiZD7EydrU2sjLn4NwQAoIsgwHet0NBQPp9PCBk2bBgCPAAA9BDFFbWJ6fn30wriH+fFpeQUN3kjuimTAbo+Xk5ThjtN9nIy0tfp5iJBJdRYTPeB5u4DzZUtlbXCBxmFDzKLHmQWJaYXpGQXNzRKlEclUllyRqFyhjxCiLaGmpO18SAbY0crI0dLQ0crIzszAzYLo/QAAJ0AAV419PX1Z82aRW2bmpqqthgAAOjbBMLGtNySh1nFKVnFyZlFDzIKSysFz+psytMb7WY3zsN+vIfDIBtMSgdEX1dzvKfD+L+H6GVy+ZP8suQnhUlPCpIzih5mFeWXVjXtX9fQeO9x7r3HucoWBp1ubaLvYGnoaGnkYGHgYGFob2FgYcil0zFQDwDQPgjwqmFsbLxixQpVVwEAAH1NXUNjTlFFVlF5ZkF5RkHZk/yyJ/n8ZvmqGRaT4eZg7j3Iavhg65FDbGxNed1WLfRGDDqdeoV+wWRPqqWyVvgws+hhVtHDzKLHOaWPsooqa4VNT5HJ5ZmF5ZmF5Vdupygb1VhMeyrMm/PszA3szQ3szA3MDThI9QAAz9HdAf7q1av79++ntnfv3s3j8Y4fPx4XF+fn5zdv3jyqXS6XR0dHx8fH5+fnFxYW6urqWlhY2NjY+Pr6GhgYNL3amTNnjh8/Tm0fO3YsOzv7xIkTubm5bDbb0dFx4cKFTk5OIpHozJkz0dHR5eXlXC7XwcEhMDDQ3Nyc/FtKSsrFixfz8/P5fD6dTufxeBYWFjNmzHBxcVG+x9WseBaL9fvvvz98+LChocHc3Nzd3X3RokXq6urKDhEREcrr37t3b/bs2cOGDdu0aRMh5P79+5s3b6YObdy40cvLS9lTJBJduXIlJSUlLy+vvLzc2NjYwsLC399/4MCBL/ezBwCAvkAuV5RV15VVCYoraksqagvLqovLa/JKq/JLq/JLqypq6l94BXU2y8XWxGOguYejhaejhauDmRoLX+hDx+nrao7zsB/nYa9s4VcJUrJL0nJL0/P4qbmlT/L4uSWVMvm/5lZolEgfZRU/yipu2qjGYlqb6NuY8axNBlgacy2N9C2NuBZGXOMBupgqDwCAqHYEXiAQ7N69u6CggBCiUDxdv6Sqqmr79u1paWnKbiKRiM/nx8fHX7hwYdWqVZMmTWr1amFhYcHBwdR1xGJxfHx8QkLChg0bgoODs7KyqD58Pp/P59+5c2fXrl22trbKcw8ePHjp0qWmV8vLy8vLy7t58+bcuXOXLVvW8nYpKSnHjx8Xi8XUblZWVlZW1t27d/fs2aOmptbRHwnJz8/fsmUL9dp8s0pmzpy5YsUKzAoDANBP3ErOun4vrVrQUF0nrKwVVtYKK2vqK2rqy6rrlL8024LNYtibGzpbGw2yMXGxNXGxNXGwMMTK3tClDLk6hlwd5cR4hJBGiTSzoPxJPj89j59RUPYkn5+RX1ZUXtPsxEaJNC2Pn5bHb9ZOp9OMuDrGPD1jfV1TA73VAeOG2Jt1+ccAAOh5VBngT506RaV3JalUum3btvT0dGWLpqZmQ0MD9ZeKRCL5/vvvORyOp6dnq1dr1iKXy3fs2NGyp0wmO3z48LZt26jdmJiYpuldR0ensbFRmczPnTs3YsQIJyenZhc5cuSIXN58kt7CwsJz584tXryYEDJt2jQ3N7cjR44IBAJCiLW19Zw5c3i85z2X2NDQ8OWXXzZN7zo6OtTphJBLly7Z2tpOnjy55Ynr168PDw9v1qijo6Onp/ec2wEAQI9VVF7js3qvRCpr11m6WuqWxvo2pgNsTXm2Zjx7c569haG1iT4WewOVU2MxB9kYN5tVoa6hMSO/LKOgLKOgLLOgLLOwPKuwvLCspuVXVHK5oriiVjnbYmJ6wd0j67updACAnkSVAT4lJUVTU9Pd3Z3L5VpaWhJCbty4oUzvFhYW69ats7GxEYlEISEhJ0+eJIQoFIrDhw97eHi0HIjW09Nbs2aNk5NTTk7Ozp07lbmXw+GsXr3ayckpOzt7586ddXV1hJC0tDSFQkFdJCoqiurJ5XK3b99uZmYmlUoTExO3bt2qrLNlgCeELFmyZMyYMWw2+/r167/88gvVmJCQQAV4FxcXFxeXkydPUpXweDwfH5/n/0AuX75cUlJCbU+YMGH58uW6urpFRUVffPFFaWkpIeTYsWM+Pj4YhAcA6PNYTAabxWgZ4NVYTA01lhqbpaHG0lJnq6uxtDTUNNVY2hpqWhps9t9PwgtF4oeZRQ8zi7q98E5WWSdSyX3pZcXPOrTtfxe7s5Km9LXVVXXrbsBkMBwtjRwtjWRyuUDYWCcUCYSN9Q2NdQ3iuobGBpG4vkEskT39L8LF1kS11QIAqIoqA7yxsXFQUBCHw1G23Lhxg9pgMBibNm0yMjIihGhoaCxevLi4uJh6pTw/Pz8jI8PBwaHZ1ZYuXert7U0IcXV19fHxCQkJodqXLVtGtbu5uU2cOPHixYuEELFYXFNTQ91aXV2dGtL39vY2MzMjhDCZTDc3NwaDIZPJCCHKUN2Uv79/QEAAtT1//vw7d+48efKEEFJYWNiycxvFxcVRGxwOZ+3atQwGgxBiamr6+uuvf/vtt4SQmpqagoICCwuLDt8CAAB6BQOOduzRj+es/ykjv6xpe6NE2iiREtKgqsL6ied8U372enz31QGtWbtoYtBqP1VXAQCgGqoM8AEBAU3Tu1wuV7767unpSaV3pWnTpinnhEtLS2sZ4B0dHZXbWlparbZra2srt5VPZ3344YfKRoFAkJOTk5ubGxsbK5M978HFZo/xW1hYUAFeJOr4WEFR0dOhEm9vbyq9U4YPH/7ZZ59R200/GgAA9GGOlob6ulqElL24K0B/YsrTw1shANBvqTLAU8PdSvX19crM3OxQs5aqqlaWw3nW1HFtmVIuPz//0qVLCQkJrQ62t0pDQ6PpbtO83TEikUj5uQYMGND0kJqa2ogRI17y+gAA0Ovs/TCgRkXPkINKFJXy03LLKmrrFTSmnpaGMU/X0coIawQ0Y29h8OJOAAB9lCp/JbRrtvamL363nD3uZURHR+/evVv53QGTybS2tnZ1dQ0LC3uZ4fT2kkqlHT7X1dW15TcIV65ckUgkL1cUAACo0jBnK1WXAF1LLpeHRCT99ld8fFpeSXltq9MWaqqzna2NF072XL1gPJuJMA8A0K/1oF8DWlpaytfOm81O36yFy+V21k3FYvGPP/5I3dTKyiowMHDo0KEsFksmkynfou8e2trayjnny8ra98Dk66+/3rLx/PnzQqGwc4oDAACAziOWSnf/duPXsNgnBXyZ/AWLAgpF4vjUvPjUvE9/uDDM2Tpojd9oV9vnnwIAAH1VDwrwdDp94MCBjx8/JoRQT7MbG/+z1khYWJhyu9U54TumoKCAmpeeEDJ//nzlk+qpqamdO87fFqamptQsAHfv3m1sbFQ+oZCcnLx9+3Zq+6uvvrK3t+/mwgAAAKBTZBVVvLPjZGTCE5mstT8zWGwFi00YDELohMiJVEoTNxLZ02f0ZHLF3UfZ49/5zsqYu+fDgFljXLu1dAAA6AF61hQgkyZNojZkMtnWrVszMjIUCkV9ff2xY8eio6OpQxYWFi1nsOuwpg+ux8fHCwQChUKRnZ194MCBzroFpaKi4oV9lBPjCQSCb7/9tqamhhBSWFj4ww8/CIVCoVDIYrFsbfGlOwAAQO9TKxT5fnDAcf6WG/fSmqZ3LU21oYOsP1ryyl///UhmYS83tpQbmMkNTOQGZnITK5nVQJmlg5xnoqv1z+Q7uSVV/hv+NzBgy+2H2ar4KAAAoDI9aASeEOLj43P16lVqOveCgoIPP/xQXV296YvoNBrt7bff7sSF0K2srJTP7YeHh4eHhze7I3m5V+65XC6fzyeE5OTkBAUFDRkyxNfX91mdZ86c+eeff1ZWVhJC7t69e/fuXS0trfr6emWH119/nY5pVwEAAHqb/56P+WDPGbHkn1fctTXVJnoPemvOGEuTAc85kRBCmCyFLjdi/8r4x7m7j19JzS6mnrnPKiof+/Z3o1ytz2x/21Bf+wUXAQCAPqFnpUEmk/l///d/AwcOVLY0zdJsNnvdunVubm6deEc1NbVmL5CLRCIajRYYGKhcxy4jI6PDGX7o0KHUhkKhiImJUa703iodHZ1NmzY1fcNfmd5pNFpAQMDUqVM7VgYAAACohEgsHf/ud6u+OaVM7wZcnZ1rA6KOfLrlnTkvTu9NDHW2OvH1yvPfrXF1MP97qXrFreRsizmfr993vvNLBwCAnqdnjcATQrhc7s6dO6Ojo+Pj4/Pz84uKinR1dS0sLGxtbX19fXk8Xqff0d/fn8fjhYaGFhQUaGtrOzs7+/r6Dho0KCsrq7S0lBCSlZUVGRk5ceLEDlw8ICBAIpFERkZWVFQ8f2F5iq2t7Q8//BAWFpaampqfn19ZWWliYmJjY+Pv729jY9OBAgAAAEBV4lLypq3dX1vfQO2yWYwPX39lwVSvl7mmpcmAn79cnppT/Ome07kllYQQmUz+3ckbv16OO/318jFueNUOAKAvoykUL5j7FHopR0fH9PT0ffv2rV69WtW1AAAA9DtfHg378vAV+d+TzA+yNflp0xva6uznnOL2WfCzDiVtX9CyMSz6wfZDF4WNYmqXRiOzxrj+vu0NrDYHANBX9axH6AEAAAB6u8pa4dAlO7b87zKV3uk02nsLJv66feXz03sHTB87JPLIJzPGuVGzAykUJDQ62WDaxyERSZ17IwAA6CEQ4AEAAAA6zf9CYsxnfpaUUUjtamuqH/tq+fK547vodgwG/cv3/E8FrTLh6VEt9Q3igM8OjX/3uyqBsItuCgAAqoIADwAAANAJ0vL48z7537tBp8TSp7PeDBtkff2/H7nYmXX1re0tDP7Y/8Hb88YzGE//tLuZlGU647PNh/7o6lsDAEB3QoAHAAAAeCk5xZXLt51wC9x2ISqZamGzmFve8Tu4aRmL1X2vo78zf+If+963tzCkdiVS2VdHrlj5bbz3OLfbagAAgC6FOU4AAAAAOqi8uu6ro1cOhsQoV4njaGusWThxxgRPdjdGdyVDfd3gb947fyM+6OjlRomUEFLIrx7x1rdTvJ3+s3DC1OHODDoGbwAAejEEeAAAAIB2k8nlP52L+eLgpeq6p6vEaaix3p079uMlUwfoaSXnVaiwNv9JQ2eOddv0Q8j12MdSmYwQ8lds6l+xqWYGnPk+HvMmegx3sabTaSqsEAAAOgYBHgAAAKB9UnNL3/rq17uPcqhdFpOxfPaoT5dNM/17JjmVY7GYX68NqBeJI24/2Bccwa8SEEIKy6r3/B6+5/dwI32dmWOG+I139RnmxGYxVF0sAAC0FQI8AAAAQDv8dC56/b7zDY0SanfW2CFBq/0dLAxUW1WrtNTZny6d+sHiicHX7h8LuxudmEGtbFdaKTgceutw6C19Xc3FU4etmDN6sJ2pqosFAIAXQ4AHAAAAaJPquoYV20+c/3uVdTMDzv6PFswaO0S1Vb2QOpu1ZPrwJdOH55dWnYtIvBj9ICYpUyqTE0Iqa4UHzkQdOBPl4+X42dJp4z0dVF0sAAA8DwI8AAAAwIvde5y7eOPR7KKnL7cvnDz0wIaFHG0N1VbVLhZG3LULJ65dOLGipv5izINz4Yl/xaZKpDJCyPW4tOtxaZOGOQat9nMfaK7qSgEAoHUI8AAAAADPo1Ao9vwe/vlPodRU81oa7L0fLlg6Y7iq6+q4AXpay2aMWDZjRHFF7eHQWz+ejSqtFBApjznJAAAgAElEQVRCbtxL834z6I2ZI796Z5YBR1vVZQIAQHNYSgQAAADgmQr41b4f/LB+33kqvQ+yMbl9aH2vTu9NmQzQ/b83Xsk8t+W7DwKM9HUIIXK54nDorUELvzwYcpN6YR4AAHoOBHgAAACAVigUikOht9xf234tNpVqeXPWyDuHPxpkY6zawjqdOpu1Zv74tNNffLp0qjqbRQipEgjfC/p99Nu77qfmq7o6AAD4BwI8AAAAQHN3H+WMeXv3OztOUsu8c3U0T375xsFPX9VUZ6u6tK6iraH25cpZSSc+8x3pQrXEpeSOWP7Ne0G/l1XXqbY2AACg9M134KOjo8+ePVtUVCQWiw0NDQ8ePKjqijru/v37mzdvprY3btzo5eWl0nIAAAD6uPjUvG1H/7wY80ChePoA+YzRg3/8eFHPWeO9S9mZ8S7ueickMumDPWfzS6vkcsXBkJunrt3f8PqUNfPH9+HvLwAAeoU+GOAfPnz4zTffKHclEokKiwEAAIBeQSSWhEQm//d8THRihrLRwoj7zRr/gEkeKixMJfzGu03xdt7+85U9v4c3SqQ1dQ2f/xi6Lzjio8DJK+aM1tJAjAcAUI0+GOBv3ryp3La1tbW2tlZdLQAAANCjicSSG/fSz4Unno9MqqlrULZzdTTXBfr8Z8GEfjvmrKXB3vbu7Ddmjfz0hwvnI5IIISUVtR/tPbfj+NWVfqNXzh3bTx5JAADoUfpggC8rK6M21NXVd+3axWAwVFsPAAAA9DRpefwb99Ku3n18415afYO46SEzA86q+ePe8R+rq6WuqvJ6Dntzg9Pbl995mL3xv5fC49MJIeXVddt+/jPo12szxwx+Y+bIKd5OLCb+1gIA6CZ9MMDL5XJqQ0tLC+kdAAAACCFCkTg5ozA2Jff2g+yYxIziitpmHdgsxvRRg1/39Z4xejCTgVl+/2XEYJu/9q25mZS585e/Lt9OUSgUEqnsfETS+YikAXpafuPdZo0ZMmGog7aGmqorBQDo4/pUgN+9e3dERIRyt6KiYvbs2YSQ8+fPK5N8SkrKxYsX8/Pz+Xw+nU7n8XgWFhYzZsxwcXGh0WhUnzNnzhw/fpzaPnbsWHZ29okTJ3Jzc9lstqOj48KFC52cnEQi0ZkzZ6Kjo8vLy7lcroODQ2BgoLm5ufLuV69e3b9/v7IwHo93/PjxuLg4Pz+/efPmUe18Pv/ChQsJCQlUMUZGRl5eXn5+frq6ul37kwIAAOi7KmrqSytr80ur8kqrsgsr0vP5KdnFmQXlsr+/4m9KW0NtsrfTrDFDZo0doq+r2f3V9iKj3exC3ewe55T8eDb6xJ9x1BsHFTX1h0NvHQ69xWIyhjpZjhxi4zHQwsXW2N7cEK/KAwB0uj4V4F/o4MGDly5datqSl5eXl5d38+bNuXPnLlu2rOUpYWFhwcHB1Dy0YrE4Pj4+ISFhw4YNwcHBWVlZVB8+n8/n8+/cubNr1y5bW9uWFxEIBLt37y4oKCCEKKe0vX379q5du8Tifx7by83Nzc3NvXLlysaNG52dndv+ucLDw/Py8po1stlsNTV8EQ4AAH3Zvce5v1yOLa+uL6uuK6+uq6ipL6sWiCWy55/FZNCHOllOHDrQx8txtKsdm4Xn9drB2dp477r5O1bNCYlM/vVK7I17aVKZnBAikcruPMy+8zBb2dNIX8eEp2cyQI/H0dLX1dLT1hjjZjtpmKPqagcA6PX6VICfNm2am5vbhQsXcnJyCCFaWlrLly8nhNDpdEJITExM0/Suo6PT2NiozM/nzp0bMWKEk5NTs2ueOnWqWYtcLt+xY0fLu8tkssOHD2/btq3loVOnTlHpXSkrKysoKEgmkxFCGAyGjY2NWCymQnhdXd2WLVv279/P4/Ha+MHDwsLCw8ObNaqpqamr4+U9AADoy/w2HCxp8TB8SzQazcqIO9jezM3BbJizpaejhXJqunpRY72o8wurrW94caeW5M/86qGDFySkSiDs2Ikv5DtqkO+oQZW1wr9iU6/HpcYkZZZV/Wu5+NJKQWmlIJH88ycQjUZ78NvnTlZGXVQSAECf16cCvIuLi4uLy82bN6kAr66u7uPjozwaFRVFbXC53O3bt5uZmUml0sTExK1bt1LtKSkpLQO8np7emjVrnJyccnJydu7cKRAIqHYOh7N69WonJ6fs7OydO3fW1dURQtLS0hQKhfJRfKWUlBRNTU13d3cul2tpaUkIOXbsGJXeNTU1d+zYQU2Vn5CQsHXrVplMJhQKT5w4sXbt2s79+QAAAPQxVsb6bQnwCoUip6Qyp6TyUsyDbqiqw57zJMCEt3Z2Xx1dhsWkq7H61B+fAADdrB/N0aKuru7p6enp6blw4UIzMzNCCJPJdHNzU74eX1JS0vKspUuXent76+rqurq6Nv06YNmyZVS7m5vbxIkTqUaxWFxTU9PyIsbGxj/99NMnn3yycuVKb29voVCYkJBAHfLz81MudOfh4TFlyhRqOyoqSiqVdsoHBwAA6Kuu7l0zZ5yrqquANjHh6cUe2WBjOkDVhQAA9GL96EvQDz/8ULktEAhycnJyc3NjY2OpkfBncXT8500tLS2tVtu1tbWV28pX3JsKCAjgcDjK3aKiIuW2UCi8fv26cldZjEQiKS0tpb5oAAAAgFZpabBHDLbJ51epupDOIZVKqT8kWCyWqmvpfJZG+oPtTFVdBQBA79aPAjwhJD8//9KlSwkJCa0OtrfqWfPAtWt+uGY5vLi4WLkdEhLyrLOKi4sR4AEAAJ5v/WuT1782WdVVtI9YKg2NSr56J+1JfmlJZW1Do6RRLJPJZWosBoNB19FQ09dVtzLRd7Qy8naxHjnYRp3dv/5gAwCAZ+lHvw+io6N3796tHOJmMpnW1taurq5hYWEiURdMX9NEs7TfxtuVlZW18fpr16598803mzXOnTuXejMfAAAAegK5XP7Niev/uxCTW1zV6iN7So9z+SThn101NtOAoz3Qyni8u93iaV62eAodAKC/6i8BXiwW//jjj1R6t7KyCgwMHDp0KIvFkslkzxkD7yKmpv88PxYUFNRy5rz2arr+vJJcLn/+2wEAAADQbT4+ELI/OLJR0pEJbhrF0gJ+dQG/+kZc6hf/+0OdzXK1N3ntleEr/EazmFgDDwCgH+kvAb6goEA5HD1//vwRI0ZQ26mpqXK5vJuLaRrgMzMzmwZ4mUwmkUiobRaLpZxgDwAAAHqpyIQnAZ8erqqtb9JG09VWtzczsLMytjXjGenramurv3U0higUNLmcyGRELiVSKU0qIRIxs1Eok/9ruF4klsSm5MWm5H2w54yrvfnHS6cETPTo5g8FAAAq0V8CfNMZ3ePj4z08PLS1tXNycg4cOND9xXA4HBsbm+zsbELI6dOnPT09TUxMCCFisXjv3r3UcneampqHDh1qOj0eAAAA9Dprvg3+6Vy0Mn+zWYxXRg1ZtXiyAafFr3hmLCGkaVKntuO2LyirrruZkH7nQdbjrKLishrp30/YyeSKhPT8RZ8f0dJUWzZ9xM7VfnhbHgCgb+sv/5e3srJiMBjUI+Xh4eHh4eHq6urN3kXvtqF4Go22dOnSzZs3E0IqKyvfe+89a2trqVRaWFio/KJhwYIFSO8AAAC9l0gsHbPi28QnhdQunUabNcH987dmMZntXsTXgKPtN9HTb6IntRv/OOf3K7GxD7ME9U//kqkXNh44E3nwfMzSmSP2r1vQgVsAAECv0F/+/66mpvb66683bRGJRDQaLTAw0MjIiGrJyMjotgzv6em5cuVKGo1GCJHJZJmZmbm5ucr0HhgY6O/v3z2VAAAAQKcrqai19t+oTO/6elqnd636YuWcTonWQ52tv/lgQeThT058/fZIN3sm4+k1JTLZoQs39ad+9OuV2Je/CwAA9ED9ZQSeEOLv78/j8UJDQwsKCrS1tZ2dnX19fQcNGpSVlVVaWkoIycrKioyMnDhxYvfUM2PGjMGDB1++fDk7OzsvL49GoxkYGLi4uPj6+lpYWHRPDQAAANDpHmQWjVqxq0EkpnZHutnv+/hVOr3zR02cbUwPfPqaVCrff+pa8NU4UaOEECIUSZZt/eVQyM0re9fgiXoAgD6G9vxVTKD3cnR0TE9P37dv3+rVq1VdCwAAQH9x/V7azA9+lFCvqdPIcv9x7y2Y1JYT3T4LbrU9afuCtpwul8u//+3ayct3pLKnjxOa8vTuHt1gMkC3TXUDAEBv0F8eoQcAAADoahcik33XHqDSO51O2/KOXxvT+8uj0+kfvDb16o8fOdmYUC1F5TUj3vwmIS2/ewoAAIBugAAPAAAA0AnORSQu3nRUrlAQQpgM+r6PX5813r2ba+Doav729cq1r07WUGMRQgrLqie+933YrUfdXAYAAHQRBHgAAACAlyKXK7YcClv4+RGxREoI0dZU//Xrd0a62aqqnqWzxySf+HywnSkhpK6hce7HBw+F3lJVMQAA0IkQ4AEAAAA6rqi8xveDA18euUzNKzR7rOuVHz4caGmo2qpsTAdE/fTBZG8nQohUJn9nx8kvDl7CzEcAAL0dAjwAAABARygUil8ux7q/tv16XBohhEajbXhtyumv39JUZ6u6NEII0dVSv/jtO0umD6d2t/38Z+AXPzc0SlRbFQAAvAwsLgIAAADQbklPCj7YczYqIYPa5epoHvo8cM44V9VW1QyLyTj8eaCFIWfbz38SQoKv3U/P45/a9padGU/VpQEAQEdgBB4AAACgHbKKyt/48hevN4KU6X2Kt9P945/0tPROodFoW96eeXTj62osJiEkMb1g2NIdRy/dweP0AAC9EUbgAQAAANoks7B85/Grv1yOlUhlVIvxAN2dq/0Cp3mptrAXet3Xe6Cl4YLPDheWVQuEjSu2n/jtz7jvPwwY9PeacwAA0CtgBB4AAADgBR5lFS/Zcsxl0ZdHLt6m0rumOvvTpVMfn9rU89M7ZbiL9b1jH88cM5jaDY9P91yy450dJwv41aotDAAA2g4j8AAAAADPFPso5+vjVy/FPFQ+c67OZi2fM+rjJVNNBuiqtrb2MuBohwSt/PVK7IZ9IfwqgVQmPxR669crcW/7jf54yVQjfR1VFwgAAC+AAA8AAADQiqiEjG0/X6FmmKdoabBXzBn94as+pjw9FRb2kl57xXvmmCHbj145cCaqUSIViSV7gyMOX7y1duHEjwIn62qpq7pAAAB4JgR4AAAAgH+5Hpf25ZHLMUmZyhaujuaqgHGr54/ncbRVWFhn4WhrBK3xX71gwrajV479cUcqk9c3iLf//OfBkJub3vJ9228Mk4G3LAEAeiIEeAAAAABCCFEoFGG3Hn197Oqdh9nKRiN9nfcXTXpn7lgdTTUV1tYVLI24//1k8frXJm89HPb7X/FyuaK8uu4/u07/eDY6aI2f70gXVRcIAADN9bgAHx0dffbs2aKiIrFYbGhoePDgQVVX1FxKSsonn3xCba9fv37s2LGqrQcAAABeklgiO3Utftdv1x9mFikbzQw4H702efnsURpqLBXW1tXszQ2Of7H0o8DJH+8P+Ss2lRDyOKdk1rqfJg1z/Pq92UOdLFVdIAAA/KNnBfiHDx9+8803yl2JRKLCYkJDQ+vr6wkhpqam48ePV2ElAAAA0EUKy6oPh946GHKzpKJW2WhlrP/Ra5PfnDWSWju9P3C1N7u8Z9Wfd1LW7zufkl1CCLlxL23EW9/OGjPks2VThzlbqbpAAAAgpKcF+Js3byq3bW1tra2tVVcLCQ0N5fP5hJBhw4YhwAMAAPQlUpn88q1HRy7dvnzrkVQmV7Y7WRl99NrkwGleLCZDheWpyrQRg3y8nA5duPnlkcullQKFQhEanRwanTzGze7deWP9xrv1n280AAB6pp71f+GysjJqQ11dfdeuXQxGT/zdqa+vP2vWLGrb1NRUtcUAAABAuyQ9KfjlcuzJq/dKKwVN2ycOHbh24cTpo1zodJqqausJmAz6O3PHvubrvef38D0nb1TXNRBCYpIyY5Iy9XU15/t4zvfxHOtux6BjljsAABXoWQFeLn/6FbiWllbPTO+EEGNj4xUrVqi6CgAAAGiH5IzCkMik09cTHueUNG3naGu85uv9tt/oQTYmqqqtB9LWUPu/N15ZM3/8f0NiDpyOKiyrJoRU1gr/ez7mv+djDDjaM8cMnjF6sI+XU9+b2w8AoCejKRQKVddACCG7d++OiIho2X7+/HkGg3H16tX9+/cre/J4vOPHj8fFxfn5+c2bN49q5/P5Fy5cSEhI4PP5dDrdyMjIy8vLz89PV1e32TVf2LPVYoYNG7Zp0yZCyP379zdv3kw1bty40cvLixBy5syZ48ePU43Hjh3Lzs4+ceJEbm4um812dHRcuHChk5OTSCQ6c+ZMdHR0eXk5l8t1cHAIDAw0Nzdvb3lt5OjomJ6evm/fvtWrV7frRAAAgL4hq6j8zoOcyIQn12JTc0sqmx5i0OmThg1cMn2433i3Tp+jLjmvogNnuX0W3Gp70vYFHbiaq+WADpzVKqlMfjH6wfHLd6/cTpFIZU0PsZiMkUNsJg1znODpMMzZUp3dl2f7AwDoCXrWCHxbCASC3bt3FxQUEEKU3z7cvn17165dYrFY2S03Nzc3N/fKlSsbN250dnZWtre9Z4eFhYUFBwdTtYnF4vj4+ISEhA0bNgQHB2dlZVF9+Hw+n8+/c+fOrl27bG1tu7M8AACAvio+NS86MfNJPv9xTsmDjKIqgbBln8F2pq9OG/baK96mPL3ur7A3YjLo/hPc/Ce48asEZ8MTz4UnRidmUBMHSKSyqISMqIQMQgibxXAfaDHU0cLVwczJysjewtBkQPvGHgAA4IV6SoCfNm2am5vbhQsXcnJyCCFaWlrLly8nhNBbvGF16tQpKr0rZWVlBQUFyWQyQgiDwbCxsRGLxXl5eYSQurq6LVu27N+/n8fjtb0nVcyRI0cEAgEhxNraes6cOdQV2uLUqVPNWuRy+Y4dO1r2lMlkhw8f3rZtW3s/SDObNm2KiYlp1qijo9PeQXsAAIDeKz41b+Tyb+XyVh4tpNNpno6Ws8YO8R/vNsjGuPtr6xsMuTrvzh377tyxlbXCP++khN16dC02tay6jjoqlshiH+XEPspR9ldns0x5eob6OnZmvJ2r/YyR5wEAXlpPCfAuLi4uLi43b96kAry6urqPj0+rPVNSUjQ1Nd3d3blcrqWlJSHk2LFjVOjV1NTcsWMHNXd9QkLC1q1bZTKZUCg8ceLE2rVr296TKubkyZNUgOfxeM8qplV6enpr1qxxcnLKycnZuXMndRFCCIfDWb16tZOTU3Z29s6dO+vq6gghaWlpCoWCRqO164M009DQUFtb27KduiwAAEB/UN8gbpre2UymAVfbZICumSHX0oijocauFzb+ejm2Gyopq23owFn0Cn6r7ft+u9aBqxnoanTgrHaxMOQumzGyrEqQW1JZwK8uKq+uF4mbdhCJJVlF5VlF5XceZpsbcra9O7urSwIA6PN6SoBvO2Nj46CgIA6HQ+0KhcKEhARq28/PT7nynIeHx5QpU65cuUIIiYqKWrVqlVgsbmNPJvOlfixLly719vYmhLi6uvr4+ISEhFDty5Yto9rd3NwmTpx48eJFQohYLK6pqeFwOG3/IC9ZHgAAQJ80zsP+7I4VgZt+FoklhBCxVFpYVl1YVn0vNU/VpbXJs750Pxra/CG7XofFpI9xt1N1FQAAfUHvi4IBAQHK9E4IKSoqUm4LhcLr168rd6nRbEKIRCIpLS1taGhoY08zM7OXqdDR0VG5raWl1Wq7tra2cpt6W77tH+QlywMAAOir5oxzZbMYVICHnuPGgfdHDrFRdRUAAH1B7wvwzeJrcXGxcls51t1ScXFx0wD//J4vmZDV1FpfT+VZ7cr7Kre7tDwAAIA+SSBszC2p/ChwckVNnbamOo+j3esmUaupqaGW1OVyuaqupTO52GKJPgCAztH7AnyzGCwSidpyVllZWRufPC8rK+tIWS+t7R+kZaODg0N9fX2zxlu3bkml0k6oDAAAoAfIKqoIiUi8l5qXVVBWUSMUNDSKxFKpTC6TymQKeetz19FoxjzdeRM8vlw5S1uT3f01txefz6d+d5uamqq6FgAA6Il6X4BvpulvuKCgICcnp2f1fPToURt7qkTbP0hLb7/9dstGR0fHlqkeAACgFymuqP3u5I3LNx9lFpaJ/70CeVvIFYqispp9pyN+PBe1bObIH9YvaLm6DQAAQC/SpwJ8ZmZm09wrk8kkkqdvwbFYrLb3ZDAYXVt0a3p4eQAAAN1GKBJ/eeTyr5djiysEhLQytP5vNEKnEzpdQafrMGlqLCaTSZfK5PUNjaJGKXW6VCY/dOHmuYjEv/atcbPHm2gAANBb9foAz+FwbGxssrOzCSGnT5/29PQ0MTEhhIjF4r1790ZFRRFCNDU1Dx061PaeTWeYI4RUVFT0qA/SrDwAAIA+o7Csevn2327Epcnk8maH2CymIVfXyowXXSQkTJaCwSB0BqHRSZM1U6O2L2h6Sm296OcLMcFX44SiRkJIZU2999KdP36y+M1ZI7vhswAAAHS6Xh/gaTTa0qVLN2/eTAiprKx87733rK2tpVJpYWGh8g3wBQsWUKG37T0JIVwul8/nE0JycnKCgoKGDBni6+vbQz4IAABAH1MnFAdu/jns5gNFkxF3Go2YDNAbN8xp/lQvG1Me1ej2WXAbr6mrpf6fVyf/59XJXx8OO3MtTqFQyBSKt7/+7Uk+/+v35nT6RwAAAOhqfeFNME9Pz5UrV9JoNEKITCbLzMzMzc1Vht7AwEB/f//29iSEDB06lNpQKBQxMTFxcXE954MAAAD0JQfORBr5fvxHzD/pXUdT/VXf4ZFHP7u0/4MNy3yV6b1jPn1r+pEtb6irsajdb3699ta2316yZgAAgO7X60fgKTNmzBg8ePDly5ezs7Pz8vJoNJqBgYGLi4uvr6+FhUXHegYEBEgkksjIyIqKCuVK7D3ngwAAAPQBlbXCKav3JmUUKlv09bQ+eG3qjLFunXsjt4GWf+z7YP76A5U19YSQY3/crmsQnfrqzc69CwAAQJeiKRQvnBsGeiVHR8f09PR9+/atXr1a1bUAAAC0IiQiKfCLnxslT581Y7MYqxdPfm36C15Qf84j9En/fge+JbFEOnfd/iJ+NbXrO2rwxW9XtqfkroVl5AAA4Pn6wiP0AAAA0Ov8Z/fpgM8OKdO7p6Pljf998sL0/pLYLGbI7v/YmBlQu5dvPfRZ9X2X3hEAAKATIcADAABAt6qua1j4+eEfzkRRu0wGY9PK2Ye2vKmpzuqGuzOZ9NPfvOtoZUztRiZkvLPzZMtJ7wEAAHogBHgAAADoPlEJGZ6vf302PJHaNTPkXtq31m+iZ3fWQKfTT+58x9PZito9dOGW/4aDAmFjd9YAAADQAQjwAAAA0B1EYsnH+0Mmr9mbV1pFCNFUZx/89NWLe9ca6uuqpJ5DX7zxfuAUOp1GCAm79WjU8m8f55SopBIAAIA2QoAHAACALhf7KMf7jaBdv12XyxWEEDcH87tH1r85q2vfeH+hJbNGn/rqLS0NNiHkcU7JiLe+ORx6S7UlAQAAPAcCPAAAAHShhkbJx/tDxq78LiW7hBDCoNM3vDbl1qF1ztbGqi6NEEL8J7hF//dDG9MBhJD6BvHKHSdnf/RTwd/T1AMAAPQoCPAAAADQVSLvP/F4/etdv12nZokbaGkY8eP729+brcZiqrq0f7jam8Ue3eA/4enK82G3HrkGbtt/OhIz2wEAQE+DAA8AAACdr0ogXLnj5OQ1+zIKygghDDr9w8WT4o99MnKIjapLawVXR/P09uWHP3+No61BCKmtF73/3Znhb35zMylT1aUBAAD8AwEeAAAAOpNCofj1SuzgxV8dDr2lUCgIIS62JjEHPwxa46+h1h0LxXXY0hnDk3/73G/806H4xPSCCe99/+qmo9lFFaotDAAAgIIADwAAAJ0m9lHOuHe+W7b1l9JKASFEjcX8Yvn0uKMfew2yUnVpbWLK0zvz9fIL36y0M+MRQhQKRfC1+4MXf7Xu+3Nl1XWqrg4AAPq7HvQGGgAAAPReDzOLthwOC4lMpkbdCSETPB0ObFjkaGmo2sI6YMbowT5ejnt+D99x7GpdQ2OjRPr9qfDDobdWzx///qKJPI62qgsEAIB+CgEeAAAAXkp8at6O41cvRCVTS8QRQswNOTtW+S2c7Emj0VRbW4eps1mfLJm6bMaIrYfDjly8LZXJ6xoadxy/uu90xFuzRq1dNNHKWF/VNQIAQL+DAA8AAAAddONeWtCv167Fpipb9LQ11r3q8/6iiZrqbBUW1lmMB+j+sGHR+4smbT0cFnz9vlyuqG8Q7w2O+OFslN94t1UB48a626u6RgAA6EcQ4AEAAKB95HJFaHTyjuN/3Xucq2zU09ZYHTBu7aJJ+rqaKqytKwy0NPx1y7LPlr2y4/ifwdfuS2VyqUx+5kbCmRsJg+1MV/qPCZzmpaulruoyAQCg70OABwAAgLaSSGUnr9779sS1lOwSZaORvs6aBRPenTtWT1tDhbV1tUE2xse/WLr17Vl7T4UfvXRbIGwkhDzMLFrzbfCnBy4smjJ0pf8YD0cLVZcJAAB9GQJ8jxYaGlpfX08IMTU1HT9+vKrLAQCA/qtKIDx04daBM5EF/Gplo43pgA9f9Vk2Y0QPXx+uE1mb6O9+f97mFTN+uRz707noxzklhJC6hsZDobcOhd7yGmT1jv/YBZM9+88PBAAAuhMCfI8WGhrK5/MJIcOGDUOABwAAlYhPzTsYcvP3v+7VN4iVjYNsTD5eMmXh5KFMRn9cklZXS31VwLj35o2NSsg4GHLzfGSiWCIjhMSl5Mal5H6099yS6cPfmj1qkI2xqisFAIA+BQEeAAAAWlFcUXvqr/hjYXcfZELeUo8AACAASURBVBQ2bR/tZrc+cPKM0S69d4b5zkKj0cZ7Ooz3dOBXCY5eunPows3sogpCSJVA+P2p8O9PhXu7WL/2ilfAJA9Dro6qiwUAgL4AAR4AAAD+kV9adTHmwbnwxOjETJlcrmxXYzHnTXL/z4IJw5ytVFhez2TI1fn49SnrAyf/eTflp3MxV26nUD+62Ec5sY9yPvju7Gg325ljhkz1dnKxNcEXHwAA0GF9P8ALhcJz587FxMTw+XwOhzNq1KhXX331xIkTFy9eJISYmZn9+OOPTfvL5fLo6Oj4+Pj8/PzCwkJdXV0LCwsbGxtfX18DA4OW1297/19//TU4OJjaPnnypJaWlvLQxo0bk5KSmtaze/fuiIgIZYd79+7Nnj172LBhmzZt6qyfDAAAAIVfJbj7MCcqMeNaXFqz8XZCiJOV0bKZI5dM98Yw8vPR6TTfkS6+I13yS6uOXrrzy+W71IC8TC6PSsiISsjYQIgBR3vkEFtvF6uhTpbuA80NONqqrhoAAHqTPh7g+Xz+559/XlpaSu2Wl5eHhoYmJiba27e+amtVVdX27dvT0tKULSKRiM/nx8fHX7hwYdWqVZMmTXqZ/l3kzp07RUVFzRpZLBab3RfW4AUAgK5T19D4ytoDdx5mtzxkpK8TMMljyfThQ50su7+wXs3CiLvpLd+Nb75yKznrt6v3zkck8asE1KGy6rrQ6OTQ6GRCCI1G2/SW78Y3fVVaLAAA9CZ9OcArFIrvvvtOmd7ZbLaRkVFBQUFeXl5eXl7L/lKpdNu2benp6coWTU3NhoYGhUJBCJFIJN9//z2Hw/H09OxY/3aZNm2am5vbkSNHBAIBIcTa2nrOnDk8Hq/VzmfPng0PD2/WqK6urqHRl5fzAQCAl5eQlt8svdubG0wf5TJ7nOtYdzsGvT9OUNdZaDTaaDe70W52+9YtiE3J+fPO4xvx6fdSchslUqqDQqEIjX6AAA8AAG3XlwN8fHz8o0ePqO2RI0euW7eOzWZXVlZ+9dVXGRkZLfvfuHFDmcYtLCzWrVtnY2MjEolCQkJOnjxJCFEoFIcPH/bw8KDeXmtv/3ZxcXFxcXE5efIkFeB5PJ6Pj09HfgoAAADPNtzFZsFkzwuRycpUmVFQtjc4Ym9whErreh7Gsw95LtrcbWW8PEcrox3vzVF1FQAA0Jv05W/WL126RG1oamq+//771PPk+vr6GzZsoLc2pHDjxg1qg8FgbNq0ydbWlkajaWhoLF68eMKECdSh/Px8Zfhvb38AAICehs1i/Lb1DTMDjqoL6Y9W+o/x8XJUdRUAANCb9OUReOVz8t7e3k0fJjc2NnZzc0tISGjaWS6XK19l9/T0NDIyanp02rRpyinl0tLSHBwc2tu/kz4TAABA5zM3QoBXAT0tvOkGAADt02cDfGNjY3l5ObXdLF0TQszMzJoF+Pr6eplMpjzasr9yu6qqqgP9AQAAeqwbB9aqugToEpEJTy7fSnmQVVhcXisRywghmhpsBwuD6SMHL5jsyWT25ScxAQD6pD4b4MVisXKbmlWuqZYtz9f0JXZ5k0VxO6v/S3r77bfnz5/frPGNN96or6/v6lsDAABAz1HfIP79r7iQyAf30/LKquvk8lb+4IlPzfv9r/hlXx13tTPb/u7sqSOcu79OAADomD4b4LW1tTU1NYVCISGk5RJrBQUFzVq0tLQYDAY1qN7yaNMWLpfbgf7NSKXSprv/396dx0VV9X8A/97ZGHYQRFbZFEQQZEBxzRUNNRXFFVErfXwsnyz72WJlLmVlppVbWVlaZiupkLsi4oYLuIHs+yLIPjgMy8z8/rh2nQARERhn/Lxf/XHm3Dtzv7fnecV85px7DltnmzU7Rb+hoaHRVQAAAED3xCXn/nky/lRcWlL27crqmla+S6lUXU3NG7dsW/duXb57b84ICR73AwDQAjob4BmGsbW1ZReQu3jxYmVlpampKXsoOzv7+vXrjc7n8Xhubm63bt0iovj4+Nu3b1tbW3NHDx48yLV79erVhvOJSCwWc535+flcPaWlpVlZWY99xwAAAPBUqKiW7Tl86e9zCTdS84vLqxUPmuvH8FR6YtITq4R6JBR8EOxfr1DkFpYlZOQnZRRKZXL2rJyissAlXw7q4/zX+kUWpoaddxsAAPDodDbAE9GQIUPYAF9XV7d69eolS5bY2NgkJiZu2bKl2Sn0I0eOZAO5QqFYs2bNsmXLXF1dZTLZH3/8ERMTw57j4ODADXc/6vm2trbctb755pvFixdbWVllZmZ+//339fX1Ld9LaWnp4/yrAAAAAG23P/raV/vOXkrMqpA+eJidx1eJDVRiAxIbqPTEpPZM34RnfNRPvJmWv+GHQzfS8tivROduZNo/985HL096dcaIDqofAAAeH/OoT4Nrkbq6ukWLFrUcfe3s7LZv3862Gxoa3nzzzdTUVO6oWCyWy+XcS4Zh1qxZ4+Pj07bzy8vLFy1apH5Cy/UQ0fLly9m17hmGGTx4cJ8+fYKCgh523/e4u7unpKRs3rx5yZIlrXwLAAAAaFBxcTH7+Jv6j/5HL9z6aNeR2ISsugZFs+/S0xPadTXr09N+uL/HK3/GEzHNnnZt3fSmnZkFJcs3/pqRd4fr8XSxPfrly926mDzWnQAAQMfQ5dVHRSLRa6+9pqen16jf1tZWIpE0PV8gELz77rtubm5cj3rYFolEr7/+OpfG23C+ubl5WFhY0+v6+Pj07t272Vvw8/NjGyqV6syZM5cuXWr2NAAAANAxVTL5yxt+6xK4fNyybTHX0tXTO8MwXc2Nh0nc3l34XPTOt87veuePDS+/v2jSMD+3B6X3B3G2tfxjw8urF08WiYRsT0JGgdPk9zb+fKI9bwYAANqJLk+hJyJvb+/Nmzfv378/OTk5Ly/PxsbGy8srNDR0z549cXFxTc83Nzf/5JNPYmJirly5kpubW1BQYGJi4uDg4OLiEhQUZGlp+ZjnP/fcc3Z2duHh4Tk5OTKZzMbGZuTIkRMnTly1alWz9YeEhNTX10dHR5eWlnK71gEAAIAOu5VVHLr2t7PXM5T/niapJxL26WE3eYRkzECv9t0B7rlhfQMH9n7l458vJ2YRUX2D8o0t+749cC5y40suthbteCEAAHhMujyFvgXbt28/dOgQETk4OGzdulXT5XQITKEHAADQLrv2n167+3hWYbl6J5/P8+np8OKUYQO9XR76CT4rfnvQoWan0Ddy7PzNldv21dbf28WGxzBh4wZ8/eZM7BgPAPCE0OUR+OTkZHZOu0Ag8PT0VD/EbfOm/owZAAAAQOdTKpWf7jmxcc+J0qq76v2mxgZTR0n+GzJcIOikL2yBA72G+rkt/fSXSzcyiEipUu36+/xvxy+/+0LQm2GBnVMDAAC0QJcDfERExOnTp9n2pk2bXF1d2XZCQsKNGzfYNtcJAAAA0MnKqmSvf/Hnbyfiausa1Pud7bq+MjtwmJ/bg97YccQi0dfvzD13LX3F5j+qqmuIqKa2/p3tBz7ZfWz5nFFvzxvb+SUBAABHlwP8sGHDuAC/atWq4ODgrl27pqWlRUZGsp0ikWjkyJGaKxAAAACeUlmFZQs+3HP6aqpSef9hRh7DSDwc314wwdm28TI6nWyQj+upb9/8fM+xvQcv1CsURFR1t+a9ryM//P7IzDH+n/5vsrmxgWYrBAB4Oun4M/D79+/fuXNns/dobm7+2muv9e3bt/Or6hx4Bh4AAOBJU9+gOHQ+4dv95w5fSFSP7iIhP3Cg1xvzg4wNxI/z+Y/5DHxTMnn9mq/3n4hNUPzrhwbq7+m04+3Q3s7WbakSAADaSpdH4Ilo0qRJAQEBERERycnJxcXFMpmsa9euVlZW/v7+Y8eOFYlEmi4QAAAAngpXU/J+Onxx79HLRWVS9X5zE8PQoID5k4bweE/iQnEGYuHHS0Oq5RM/2fn30XM36huURKRU0YWbWd6hHw72cX3xuYEhI30NxPhOBQDQGXR8BP5phhF4AAAAjbuVdfv3E3G/HY9Lyi5S77cwNZwT1N/P09Wrp307Xq7dR+DVKRTKnftifjlysbzRYntG+jMD/RZMHOTr7vCYlwAAgJbp+Ag8AAAAQOdLyi76/UTcHyfjEzIK1ft5PGaUv/u88QMmD/MWi4TXc0o1VWEb8Pm8hVOHLZw6LDnrdnxC+s9HLuUVVxBRZXXN13+d+fqvM369uv9n8uCZgf6G+hiQBwDoEAjwAAAAAO0jr7hi79HLe49evp6W3+iQl6vtrDH+c57tZ9fVTCO1tSN3J+tpz3iuXTThaOytnRHn/z57s65eQURXknIWfZzzxpZ9oWP7/WfyYC9XbNYLANDOEOABAAAAHkttfcO+6GvfR144eTlZfWk6IvJwsg4Z6TttlET31nvj83hBAz2DBnreLq3adTB254Fz6fklRFRZXbPtz9Pb/jw9sI/zgomDQ0b6YkAeAKC9IMADAAAAtFFGQcnX4Wd2HYwtqahW73frbjV9lGTaKImni42maus01hYmb4YFvjFn9PFLyTv2nYmIudGgUBLR+RuZ529kvvb5HyEjfcOC+g/2duXxGE0XCwCg3RDgAQAAAB6NSqU6cSl58+/Rh84nqA+5W1uYzBjtFzq2n6TXU7ecG8Mwgf17BfbvVVBSuTPi/M4D53KKyomo6q58Z8T5nRHnu3czDxnpO3Wkbz8PRyR5AIC2QYAHAAAAaC2ZvG7PkUubf4tOzLy/Oh2Px4wJ8Fg4afD4wV4C/pO4G1xnsrU0fff5Z1fMG3s09tb3kecjz9ysrW8gopyi8o17T27ce9LGwmT8YK+gQZ4j/NxMDB9r33sAgKcNAjwAAADAw2UWlH79V8zOiPNlVTKus4uJwQvPDfxP8BAXW0sN1vYE4vGYZwf2fnZg77Iq2a/Hr+w5fCk2IYvdvbiwtOrbA+e+PXBOKOAHeDqN9Hcf6e/Wv7eTSMjXdNUAAE86BPjm1dXVhYSENO3n8XhGRkZWVlZeXl7jxo2ztm7jgjRxcXGrVq1i2++9916/fv3aXCoAAAB0nAaF8tC5hB37zh6JTVSfLd/b2eZ/04eFju1nIMYKbS3pYmKweMrQxVOGZt8uC4+6uv/09fM3MhVKJRHVNyjOXEs/cy19zXcHDcSiAE+noX17DO3r2r+3E9a9AwBoFgL8o1EqlVVVVVVVVWlpaRERES+++OKECRM0XRQAAAC0v7ik3L3HLu89evl2aRXXyeMxQQM9/zdt2Kh+7gyDB7kfgaN1l9dmjXxt1sjSyrtHLtw6ciHx+KWkojIpe1Qmr4u6khJ1JYWIhAJ+Xzf7QX1cBvZxHtjHWQc23gMAaC8I8G2nUCh27NhhZGQ0fPhwTdcCAAAA7UChVJ6/kRl55sZfp66xm6JxupgYzB8/YNGUoa52mC3/WCxMDWeP9Z891l+lUt1MLzh5JeVUXGpMfFpFdQ17Qn2D4lJi9qXE7C9+jSIih27mA/s4D/ByDvB08nVzwEx7AHiaIcA/nJ2d3fLly9m2TCZLS0s7duxYbm4u2/PNN99IJBITExPNFQgAAABtp1SqbmXdjo5PjbqSEnU5hYuRLB6PGenvPm9cQPBwH7FIqKkidRLDMH162PXpYbd0xgilUnUjPf/01fSz19LPXksvVJv1kFtUnltU/tvxOCISi4SSXg4DPJ0G9nEZ0MfZxgJfwADg6YIA/3AikcjFxYV76eXlNWbMmLVr1yYkJBCRVCo9evRosw/MAwAAwJMp+3bZtdS8uKTci4nZFxOyGoV2lq+7w7RRvqFj+2EKdyfg8RifnvY+Pe3/N20YEWUWlJ67kXHhRua5G5k30wvYZ+aJSF5Xf+56xrnrGbT3JBE5WncZ4OUc4OUU4OnU181eT4hvtgCg4/CfubYwMDBYuHDhq6++yr48ceKEeoBPTEyMiIjIzc0tLi7m8XiWlpYODg7jx4/39PRszcNycrn88OHDiYmJOTk5JSUl1tbWDg4OwcHBbm5uHXU/AAAAuqukojq3qDyzsDQ9ryQ1tzgx8/atrNuVzSV2IhKLhEP7uo4b7DVhsJezrUUnlwocZ1sLZ1uL0LH9iKi6pvbyrZzzNzJjEzIv3MwqqajmTsu+XZZ9u+zX41eISCTk93G18+vl0NfNwaenXW9nG2MDPY3dAABAx0CAbyMXF5cePXqkpaURUX5+fmVlpampKRHt2LEjMjJS/cycnJycnJyzZ89OmTJl/vz5LX9sbm7u6tWri4uLm759woQJCxcuxHo5AAAATWUUlCRnFxWXVReUVBaXVRWVSwvuVBaVVeUVV9TU1rf8XkN9kV+v7s/07TFM0nNgH2fMk3/SGOnrDZf0HC7pyb5MySmOTci6cDPz3I3MxIxCbnC+rl5xJSnnSlIO90ZH6y5u3a16Oli52Fm6O1qNCfDg83gauAEAgPaDAN92zs7ObIAnooyMDF9f3zNnzqind2Nj49ra2rq6OvZleHj4gAEDevXq9aAPrKmpWbt2rXp6NzY2lkrvrc4aGRnp4uIyevTopm/86KOPLly40KjT0NDQ2Ni4TXcGAACgTQ6eS5j8xtfqe7y1zMRQ7Oli49PT3tfN3t+ju6eLrYCPXKc13LpbuXW3CgvqT0RSWe3lW9nnb2ReupV9OTFb/cl5+md8/tjFJPblm2GBHy6eqIGKAQDaDwJ823Xp0oVrV1VVEdHp06fZl+bm5uvWrbOzs2toaLh69eqaNWvY/sTExBYC/KFDh27fvs22hw8fvmDBAhMTk4KCgvfff7+oqIiIdu3aNWrUqKaD8GVlZfn5+Y06eTweDz8zAwDAU+BW1u1m0zvDMEYGeqZG+mZGYnNjgy6mhpamhpZmRqZG+uwJpVV3j8TeOhJ7q3Prva+wQta+H8hUljzo0PcHzrTjhWzMDNrx0x6TQMBjN5yruivPv1NZWFJ5u7SyqExaWnVXqbj/f4w7anPvAQC0FAJ826mvPC+TyYhILBZLJBIi6t+/v52dHREJBAIfHx8+n69QKIiIy+fNunTpEtswMzNbunQpn88nIltb27CwsA0bNhBRZWVlXl6eg4NDR90SAACAFvpv8NDcovItv0c36lepVNK7culdeV6RRurSgBZ+ud/88/HOq+PJ8+LEgR+/PFnTVQAAPC4E+LZjR91ZhoaGRLRs2TKuRyqVZmVlZWdnX7x4kU3vD1VQUMA2+vfvz6Z3VkBAwIoVK9QvBAAAABxDfdHrs0c1DfAAnIlDvc2Nn6BZAwAAbYMA33bl5eVcmxuNz83NjYyMjI+Pb3mwvSm5XM59oIXFv5a91dPTGzBgwOMVCwAAoMvMTQy2vznzcT5BpVKVVt2b0C7gMWaaCHtSqZT90d/MDBvXtbM+Pew0XQIAQDtAgG+7rKwsrs1uFB8TE7Nx40ZuvF0gEDg5OXl7ex88eFAul7f8aQ0NDW2uxN7e3sPDo1FnQkJCK0f+AQAAtJ2Rvt7CSYMf6S3ZReVf/Xn65OWU9Pw70ru13GLmHD6PZyAW2lqa+rjZzxrj99wQ7/art3nFxcXs9wFbW9uOvhYAAGgjBPg2ysjISElJYdsODg4mJiZ1dXXbt29nM7Ojo2NoaKifn59QKFQoFPv27XvoBxoZGXFrzt+5c+eRilm6dGnTTnd39+pqLNYCAADwL9lF5e/viPz7bEJ51d2Wz1QolVJZbXJOcXJO8W/H4wR8Xn9Px3WLJw/xcemcUgEAABpBgG8LmUz27bffci/Zrd3y8vK4wDxt2jRu0ntSUpKyyY/6zbK1tU1OTiai2NjY2tpaPT09tv/69evr1q1j2x988EGPHj3a6T4AAACeIt9FnPtk17GMglKiJkvWMzwSCFQ8PvF4pFKRSilsqGtQqNTPbFAoz13PHL54k7ONxY53Qkf8sy05AABAp0GAf7i6urqMjAy2XVNTk56efvTo0ZycHLbHxMSEDfDqc+CvXLni6+trZGSUlZW1devWVl5IIpGwAV4qlW7YsGHJkiWmpqb5+fnbtm1jV7k3NTVl5+oDAABAK9U1NLy9df83+8/L5LXq/TyGURiZqvQNVHoGJBDRvzdpvbhuOhElpBecv5YaeyMzIaNAXlvHHsosLA1c8mWAp+Nfn/zXqotRZ90HAAAAAnwr5Ofnv/rqqw86+t///tfY2JiIHB0due3ioqKioqKixGJxo0ffWx6KnzBhwpEjR8rKyogoNjY2NjbW0NDw7t37E/zCwsKwtTsAAEAr1TU0vPLZH7sPXqir/9eiMA7WXaYF+s8c299vZXjLn+DpauvpartgyjAiupiQ+flPR5OzClUqIqLYhOzuk975YNFz/zdndIfdAQAAwL8gDbYdn89/6aWXhgwZwr7U09MLCwtTP0EulzMMExoa2q1bN7YnLS2thQxvbGy8cuVKc3NzrodL7wzDhISEjBkzpp3vAQAAQBcplcrlm/8yH7X82/1nufQu4POH+fc6tHXZ/s9fmTN+kEDwaMMY/T2df/5o0W+fvuzqYMX2NCiUb23b33fOupIKLDoDAACdASPwj4bH4xkaGlpZWXl7e48fP97Kykr9aHBwsKWl5YEDB/Ly8oyMjDw8PIKCgnr37p2RkVFUVEREGRkZ0dHRI0aMeNDnu7i4bNu27eDBg0lJSbm5uWVlZTY2Ns7OzsHBwc7Ozh1+ewAAANpvw0/H1+w8JJPXcT16QsHU0X6vhgY+amhvytW+6++fvnQw5sbab/bX1jUQ0c2Mwu6T3t3x1qw5QQGP+eEAAAAtY1SqJuu4gE5wd3dPSUnZvHnzkiVLNF0LAABAZ/j6rzPvfhVRLpVxPSKhYHZQwJKZo5p9Bs1nxW8P+qhr66a3fC15Xd0rn/x8OSGL6xndr9eBzxaJHuM3AmwjBwAALcMIPAAAAGi9TXtPrtt1pLzqfnQX8HmTR0remDdOIOiQBwbFItGO9+b/HXNtzdcH6hsURHT8UpJ10NuRGxcP6oMVZwEAoEMgwAMAAIC2ksnr3ti8f/eh8zJ5PdfJ4zEj+3msWhxsIBZ2dAHjh/oM9um5YM33GXl3iKjqrnzYfz9/bdaI9UuCO/rSAADwFEKABwAAAO1TViX7Kjzmg52H6hrurzDPY5jBErfViyaZmRh0WiVmJgZ/bHh5+69R3+07rVSpVCrVxp9P5hZVbF0+o0snlgEAAE8DBHgAAADQJnnFFZ/tOb4z8vzdmvvL1An5/BEBHitemGBiJNZIVYtnjAgc5LX4g12lldVE9PuJuHPXM759JzSwfy+N1AMAADoJAR4AAAC0Q1GZ9KNdR77Zd7a2voHrtDAzmjjMd/G0ER30rHvr9XDoevSr189fufXGln0yeV3+nYpxr21bPGXoRy9NMtQXabY2AADQDQjwAAAA8KST19Vv2hu1/sejUlkt2yMU8KeN8l02axRPrK/Z2tQxDPPfKUNH+LvPX7P7UmK2SqXa9ufpo7G3vn0ndIiPq6arAwAArafh36oBAAAAWvb32Zves9e993UEm96FAv7CSYNv/bpy9/vz+rrZa7q6Zrh3t4r5etnKF8cJBXwiSsu7M/LlL5Zs+K2yukbTpQEAgHZDgAcAAIAnVG5R+dS3vpm0/OuMghIiYhhm+mjJzb3vbn9zppNNF01X1xIBn7fyxaCzO173dLEhIqVS9VV4jOesD348dFGlUmm6OgAA0FYI8AAAAPDEaVAoP/8lyjv0w/2nr7M9fd3so7e/+vOa513tLDVbW+tJejlc/P6Nd59/lh2Kv11a9fzaHwcu+Cw6LlXTpQEAgFZCgAcAAIAny4WbmQEvfPp/X4azc+ZNjfQ/fy0kdufyQd4umi7tkekJBasWjr+y661nfHuwPZdvZY9a8uXYpVvOXc/QbG0AAKB1sIgdAAAAPClul1a989WB3QfvzzMPGem76bUQGwsTzRb2mHo7W5/Y8srvJ+JXbN+fVVhGRCcuJZ+4lDxc0vPteWNH9XPXdIEAAKAdEOABAABA86praj//JWrDT8era+6tM+9ia/nl69OeHdhbs4W1F/YB/knDvL8Kj1n/47GiMikRnYpLPRWX2q+344p5YycM8dJ0jQAA8KRDgAcAAABNkspqvwqP2fjziTsV1WyPvp5w+ZzRy+cE6usJNVtbu9MTCpbOGLFw0uCv/zqz8ecThaVVRHQpMTv4zR3ePexemToo0N+VYRhNlwkAAE8oBHgAAADQjPT8kh1/nfn2wDlufzWGYaaPkny4eOITvsj8YzIQi16bNXLx1KE/RF747OcTmQWlRHQ9LX/BJ797OFq9Nn3I85NtEOMBAKApBHgioh9++CE8PJxtz5gxIzQ0lDukUqnmzp1bWVnJvvzpp59MTO4/hnf+/PmPPvqIbfv6+q5evbqVV4yLi1u1ahXbfu+99/r16/d4dwAAAKA1pLLafdHXfjx08VRcilJ5f0+1MQEeaxdN8OvVXYO1dSaxSPjfKUNfnDho79HLH+8+mpJTTES3sov/82n41n0X333+2UnPePN4iPEAAHAfAjwRkUQi4QJ8enq6+qGSkhIuvRNRamqqn58f9zIj4/76sb6+vh1cJgAAgBaTymoPnUv442T8ofMJNbX1XD+Px0x6xnt56Oj+nk6aq05jhAL+3HEBoc/2++XYlTXf/p2eX0pE11Lzpq341sPJ+tWZI2aP7ad7jxIAAEDbIMATEXl4eOjp6dXW1hJRamqqSqXi5q2lpaWpn5mSkqIe4NXTPgI8AABAU3cqqiPP3Nx/+trxi8nyunr1Q9YWJnODAhZOHuxsa6Gp8p4QfB4vdGy/kT4Of0Rd//KPM5mF5UR0K+v2oo/3vr1tf+jYfrPH9uvX21HTZQIAgIYhwBMRCYXCPn36XL58mYgqKytLS0stLS3ZQ6mpqepnpqSkqL/kAry5uXn37k/LlD8AAICWqVSqa6n5hy8k/n32ZmxClvo8eSIy1BdNHOodOrbf6P69BHyepop8AvF5vKnDvCYP7R2TZkojygAAIABJREFUcHv9T8duphcQUVmVbPPv0Zt/j3a07vLswN4j/NwGebvYWppqulgAANAABPh7JBIJG+CJKDU1lQvw7Ag8wzBWVlZFRUUpKSnc+Hx5eXl5eTl7Wt++fbHYDAAAPM2UStWtrNtnrqWfjk87FZfCbpOmzsRQPG6Q55QRfZ8d0NtALNJIkVqBz+PNHus/a4zf8UvJW/+IPnQuUaFUElH27bKv/zrz9V9niMjW0tTL1ba3s3VPBysXO0tnW4vu3bqIhHxN1w4AAB0LAf4e9QnwaWlpAwcOJCKVSsUGeHt7e3d396KiIqlUWlRUZG1tTQ+eP5+YmBgREZGbm1tcXMzj8SwtLR0cHMaPH+/p6dmakC+Xyw8fPpyYmJiTk1NSUmJtbe3g4BAcHOzm5taO9wsAAPCYausbkrOLbqYXXkvNi0vOvZKUU3VX3vQ0u65mE4Z4TRzaZ4SfOxJm6zEME9i/V2D/XoWlVXuPXv79RNyVpBxuLkNBSWVBSeXR2Fvc+TweY9fVzMnGwsXOwtWuaw/7rj0duvbsbmWkr6ehOwAAgPaHAH+Pra2tlZVVcXExqT33XlRUVF1dTUQ9e/Z0c3M7fvw4ESUnJzcN8D4+Pmxjx44dkZGR6p+ck5OTk5Nz9uzZKVOmzJ8/v+UycnNzV69ezZbR6O0TJkxYuHBhsz8BXL9+Xf0tLIFAIBRizRsAAGh/n/x47PuI81mFpQ0KZbMnCAX8AE+nMQEeQQN793WzxyS1x2FjYbJs1shls0YWlUlPXk4+ez0jNiErIaOgrl6hfppSqcotKs8tKo+5+q/le1xsLXesmD1c0rNzqwYAgA6BAH8PwzB+fn6HDh0iorS0NHaePJfke/TowQ2Ap6SkDBs2jNQCvJOTk7m5ORGdOXNGPb0bGxvX1tbW1dWxL8PDwwcMGNCrV68H1VBTU7N27Vr1KG5sbCyV3puCGBkZ6eLiMnr06KZv/PHHH6Oiohp16uvrGxgYtP7fAAAAQGtU3ZW/+1WESqVq1G9soOfXq/sgb5fB3i6DfVwx8NvuunUxnjXGf9YYfyKqb1Ck5t5Jzi5KzSvOKijNKCjNLizNvl3WKNUTUUZByVfhMQjwAAC6AQH+Pl9fXzbAS6XS4uLibt26cQG+Z8+ejo6OIpGorq6OW8eOC/Dc/PnTp0+zDXNz83Xr1tnZ2TU0NFy9enXNmjVsf2JiYgsB/tChQ7dv32bbw4cPX7BggYmJSUFBwfvvv19UVEREu3btGjVqFMYxAABAg4wN9J4b0ifizA2GYfg8hs/j8Xk8Pp/h83jXUvOvpeZv/zOmM+tRKBv/lNB6/Jq6Bx0a/uInbfzMx9i5XaVSsb+M8HhtWdvPUKynL1IpVSqFUqlUqpRKpUKp6mJi8OLEQW0uCQAAnigI8Pd5e3vz+XyFQkFEaWlp3bp1Y5eg5/F4zs7OfD7fxcUlKSkpIyOjoaFBJpPduXOHfWPfvn3ZhlgslkgkRNS/f387OzsiEggEPj4+3Mdy+bxZly5dYhtmZmZLly7l8/lEZGtrGxYWtmHDBiKqrKzMy8tzcHDomH8BAAAAD8cwTPgnC6et+PavU9eUSqqnxkO+uqHqbo2mS2gfO9+bE9j/gYMHAACgXRDg7zMwMOjVq1dCQgIRpaamDho0iB1jd3JyEolEROTm5paUlFRfX5+VlcU+G09EQqHQ09OTbS9btoz7NKlUmpWVlZ2dffHiRTa9P1RBQQHb6N+/P5veWQEBAStWrGDbhoaGj3mbAAAAj89QrGdujAe12tljjsA3S8jHwoEAALoDAf5ffH192QCflpZWUFAgk8mIqGfPe4+NqT8GX1Nz74d5T09PNt6zcnNzIyMj4+PjWx5sb0oul3Ob0llYWKgf0tPTGzBgQFvuBwAAoGP8sDJM0yV0lLqGhm1/xhyNvVUplQv5THdbixG+PaeO8jUxEHf0pYuLixsaGojI1ta2o68FAADaCAH+XyQSyU8//UREaWlp7Px5IurRowfbUA/w3NJ03Px5IoqJidm4cSM33i4QCJycnLy9vQ8ePCiXN7Ozjjr2D3bbhIWFjR07tlHn0qVL2R8gAAAAoJVe2/TnV3+drm9QW13/esbPhy8t/GhvFxP9Ef7uaxaOd3fsprkCAQDgqYYA/y+urq4mJiZVVVUymSwm5t4aPNwIfLdu3dhl4VNSUriUzq1gV1dXt337drbf0dExNDTUz89PKBQqFIp9+/Y99NJGRkbcmvPc0/Wt5O3t3bSzoaGhvr7+kT4HAADgqVVRLes3b31mYekDjqvKqmR/noz/82R8r+7dfnh/rr9H906tDwAAgKjdnrDSDQzDcIH88uXLRCQUCrt3784dZcN8Xl5eYWEhEZmZmTk5ObFH8/LyuAfjp02bNmDAAHYb9qSkJKWy+W1yG+Hmy8XGxtbW1nL9169fn/kPbmF8AAAAaC+FpVWuU1Zx6V2lp6+0sFbaOCit7JVdrFQGxsS7/yR5Uk7RwBc/nb3y+1b+fQcAAGgvCPCNcQGeXUXG2dlZILg/T4GbRc/q27cvt6mb+hz4K1euSKVSlUqVmZm5devWVl6aXcGeiKRS6YYNGyorK4koPz9/27ZtMplMJpMJhUIXF5c23hgAAAA0p7hM2nvm2srqe6vbjBnoqbRzUpl2Uekbq4xMVGaWSmsHhZOb0tZJZWLOnqMi+u14nOvUVWVVeFoNAAA6D6bQN8YFeBY3f57VNMBzbUdHR267uKioqKioKLFY3OjR95Z/qp8wYcKRI0fKysqIKDY2NjY21tDQ8O7du9wJYWFh7bgsLQAAAFRUyzxnfSC9KycihqFXZgXOmzj40IrfmpzIqMQGKrHBT8unvrHpt6KyKiLKLSp3nfr+1Z9WOHYz7/TCAQDgaYQ02Ji5ubmzszP3slGAb/RSPe3r6emFhf1rSV65XM4wTGhoaLdu91a7SUtLayHDGxsbr1y50tz8/pcALr0zDBMSEjJmzJhHvh8AAAB4gCqZ3GP6B+XSe6Por4c9O2/i4Jbf0qen/aFtyyaP8CViiEh6V+41a+2Dn5wHAABoTxiBb4ZEIsnMzGTbjRK7qamplZVVcXExETk6OqqHbSIKDg62tLQ8cOBAXl6ekZGRh4dHUFBQ7969MzIyioqKiCgjIyM6OnrEiBEPurSLi8u2bdsOHjyYlJSUm5tbVlZmY2Pj7OwcHBys/rMCAAAAPKaKapnHjLV3Ku6tX7NkxsjZ41q7aevKRZN6OHT77MfDKhXVyOt9Qj+69eu7dl3NOqxYAAAAIiKGfdIbdI+7u3tKSsrmzZuXLFmi6VoAAACeLJmFpf7zPuGee39h8pAlM0dzR32amUJ/z7V107n2/pNxa76JYL9KGRuKk39936qL0eNUhX3gAQCgZZhCDwAAAE+XiDPXPdVWrXv+3+m99SaNlKx4cQK7mK30rrz3zDUl/4znAwAAdAQEeAAAAHiKLFi3Z8qb39TVK4iIYZilswP/16b0zpo62u/1uc+y7YrqGvfpawpKKtunUAAAgCYQ4AEAAOCpUFldM3bp1h8iL7CPDwoF/I3/N/Ohq9Y91OxxA/43azR3iX7z1+ffqXjMzwQAAGgWAjwAAADovsTMwoAXPj1xKYl9adXFZP8Xrwzzc2+XD39+0pBXQ8ewc+mLyqoGvPDp2Wvp7fLJAAAA6hDgAQAAQMdFXUkZ8p+NaXl3iEhPJJgzftDhbcusLUzb8RJznxv0+RuzLUwNiaiwtGrUki/X/3QMSwUDAED7QoAHAAAAXXbofMJzr39VdVdORD0dusZ+t3xZ2JiOuNBQiduVXW/5ujsQUYNCuWLbgaDXthWVSTviWgAA8HRCgAcAAACddfJy8rS3v5PX1RPREB/X898t93LtwB3a7K3MYr5+7T+T7z1Xf/xikv+8j0/Hp3XcFQEA4KmCAA8AAAC66UpSztS3vmHT++j+vQ59/rKZkX5HX1QsEm57Y+avH77IXquwtGrMK5s//yWqo68LAABPAwR4AAAA0EHJOcUTlm2XymqJaGjfHuEfL9TXE3ba1aeO6Hvphzf9PRyJqEGh/L8vw1/88Cd27zoAAIA2Q4AHAAAAXZNVWPbs0i13KqqJyKen/b71/zEQizq5Bmdbi+ivXl046d50+l1/x45duqWsStbJZQAAgC5BgAcAAACdklFQMnrJF7lF5UTUw77r3xsXm3b8zPlm6QkF29+cuXX5DKGAT0QxV9OG/Oez1Nw7GikGAAB0AAI8AAAA6I7zNzKH/mdjVmEZEdlbmR36/GVrCxPNlrQoeMjfGxezj8Sn5BQPXrjhVFyqZksCAAAthQAPAAAAuqBBofzkx2MjX/6C3bnN0brLia1LnW0tNF0XEdFIf/fTXy9zsbUkorIq2bNLt3zxaxR2iQcAgEeFAA8AAABaLzoutf/z69/ZfqC+QUFE/h6Op79+zdXOUtN13dfb2frst68P9nElogaF8vUvwqe89U1xOXaJBwCAR6CDAT4uLm7iPy5duqQVNTwJNQMAAGijqyl5z73+1aglX15Py2d7FkwcFLVtqV1XM80W1lRXM6NjX/7vxYmD2JcRMTf6zP7wuwPnlEoMxQMAQKsINF3A0+XAgQN3794lIltb22HDhmm6HAAAAC12LTXvg+8P74u+zs1F72Hf9YtlIWMH9NZsYS0QCflfvzVrsLfL0o2/S2W1pZV3F328d9ufMWsXTRg3yFPT1QEAwJMOAb5THThwoLi4mIj8/f0R4AEAANpAqVQdu3jry9+ij8be4qK7hanhW3PHvBTyjJ5QC77bzB0XMLRvj5fW/3LsYhIRXUvNm/h/X/Xr7fjK1IHDfJw1XR0AADy5tOCPHAAAAIBKpYpLzv3z5NVfjl3OKSrn+k2N9JfOGL50xghN7RXXNs62Foc+f/mvU9dWbN/Pbix3KTE7LDHbp4fta9OHzLG11XSBAADwJEKABwAAgCeXUqk6dyPjr1PX9kVfy75dpn7I0szo5ZBnlkwbZm5soKnyHlPwcJ8JQ7x2H4z9aNcRduu7a2kF89f99mX4+bfmjpn8jA+Px2i6RgAAeILofoAvKiras2fP1atXZTKZnZ3doEGDpkyZIhQKG51WXFy8f//++Pj44uJiHo/XrVu3fv36TZ482cSk8eaxiYmJERERubm57JmWlpYODg7jx4/39PRkmAf+ld24ceOpU6e4l5cvX544caK/v//KlSvbXDMAAIAOO34xKfzU1YiYG4WlVer9DMMM9nZ54bmB00ZJ9PW0/o+jUMB/ceKgueMCdh+M/fD7QzlFFUQUl5Q7fcV3LraWL04aNOfZfk/ggnwAAKAROh7gs7OzN27cyK4bR0SZmZmZmZlXr15dt26detg+f/78Z599VldXp/7G7Ozsw4cPv/feex4eHlz/jh07IiMj1S+Rk5OTk5Nz9uzZKVOmzJ8/v9NqVvfFF19cvny5UaehoaGRkdHj1wMAAND59h69HLZql3oPwzD9ejsGD/OZNkriZNNFU4V1EDbGP+vv/OuJq1vDz2cXlRNRRkHJO9sPfPj94cs/vOnW3UrTNQIAgObpeID/6aeflEplo86EhISTJ0+OGjWKfZmRkbF+/XqFQkFEfD7f2dm5rq4uJyeHiKqrq1evXr1lyxZLS0siOnPmjHp6NzY2rq2t5WJ/eHj4gAEDevXq1WwlY8eO9fHx2blzp1QqJSInJ6dJkyaxH9uGmhvJy8u7detWo04ej8fn85s9HwAA4AknldWyDR7DuNhbStwd+rrZs1Plj11s/CfvUeWV3W35BEZa/qBDf5640sIbY7sYtrEmIiKSSqUKpfI/k/qn3646cSk5u7CMiGTyuuzbZQjwAABAOh/glUplSEjImDFjRCLR77///vfff7P9165d48Lwrl272PRuYGDw8ccfOzk5EVF8fPyaNWsUCoVMJtuzZ8/SpUuJ6PTp0+xbzM3N161bZ2dn19DQcPXq1TVr1rD9iYmJDwrwnp6enp6ee/fuZQO8paXlg9J4a2oGAADQbS9OHCirrfu/L8KVKlVa7p203Du/HY/rtKvzHnzow28iOq0MIhKLhB/897lR/u6deVEAAHhitfAXSheMHDly7ty51tbWXbp0WbBggampKdufl5fHNmQyWXx8PNuePHkym96JyNfXNzAwkG2fPn26oaGBiMRisUQikUgkM2bMsLOzIyKBQODj48MNdN++fbsTagYAANB5fB5v+iiJpqvQPH094aszR2ApOwAAYOn4CLxEcv9vP5/Pt7Ozq6ysJKKamhq2s6CggDtBJpOdOHGCe8kOyxNRfX19UVGRnZ3dsmXLuKNSqTQrKys7O/vixYvcmZ1TMwAAwNPAxFC87qWJmq6iU1VXV7OP0XFr6IpFWr9KHwAAtCMdD/D6+v/aErbpQu6FhYVce9++fQ/6nMLCQnbIPTc3NzIyMj4+vl0G25v10Jqb6tKlC1ueutzc3KbP0gMAAGgLI329N+YEarqKdpBbVO49Z530bu3UET6/fvhiC2cWFxezk/5ssQ88AAA0R8cD/EPJ5fLWnHbnzh0iiomJ2bhxIzfeLhAInJycvL29Dx482MrP6SBvv/120053d3f2eXsAAADQoJnv7pTelRPRn1FX0/NLXe0sNF0RAABoq6c9wKv/wr1+/foHLUFHRHV1ddu3b2fTu6OjY2hoqJ+fn1AoVCgULQzdAwAAwNPs9S/+vJiQxb3c8lvUptdCNFcOAABoNx1fxO6h1AN8enq6+iGFQiH/h0KhyMvLq66uZg9NmzZtwIAB7OT2pKQkzFQHAACAprb9cfqLX0+p7r1iiOh0fJomCwIAAC33tAd4MzMzZ2dntv37779zj8TX1dVt2rRp+vTp06dPnz9/fk1NDftMGuvKlStSqVSlUmVmZm7durUN1y0tLX384gEAAOBJtuHn42xDJdIjUhFRZiG+AAAAQNs97VPoGYaZN2/eqlWriKisrOyll15ycnJqaGjIz8/nEvv06dONjIwcHR35fD47hT4qKioqKkosFjd69P2hQ/Hm5ubFxcVElJWVtX79+j59+gQFBXXEfQEAAIBmqVSqvKIKIiKGp7Rz5menklLBPgwPAADQNk/7CDwRSSSSRYsWMQxDRAqFIj09PTs7m0vvoaGhwcHBRKSnpxcWFqb+RrlczjBMaGhot27d2J60tLSWM7yfnx/bUKlUZ86cuXTpUrvfDgAAADwJYq6mK1UqIlLp6RHDU4n0iEhFFKv2SDwAAMAjedpH4Fnjx4/38vI6dOhQZmZmTk4OwzBdu3b19PQMCgpycHDgTgsODra0tDxw4EBeXp6RkZGHh0dQUFDv3r0zMjKKioqIKCMjIzo6esSIEQ+6UEhISH19fXR0dGlpafvuHg8AAABPlCOxifdaevpEREI9ksuI6MSlpABPJ42VBQAA2oxRqVQPPwu0kLu7e0pKyubNm5csWaLpWgAAAJ46Y1/ZcuJyMhEpu9qqjM2YyjJe6W0iGj/Ya/+ni5p9C/aBBwCAlmEKPQAAAED7S8u7c68lFBER6YnZVyk5RRqqCAAAtB4CPAAAAED7K5fWsI17T78L9diXtfV4hg4AANoIAR4AAACgnSmUytq6eiIivoB4fCIiPp8EQiK6XVpZW9/Q4rsBAACahwAPAAAA0M7S8krYlM4Ov7NUIjER1dUrEtILNVYZAABoMwR4AAAAgHZ2Iy3/Xkskvt/7z2PwcSm5nV4RAADoAgR4AAAAgHZ2/Z8Ar1IL8Kp/Avy1lDwN1AQAANoPAR4AAACgncUl/zPGrtd4Cj0RXePG5wEAAB4FAjwAAABAO7tyK4eI9PWE3OLzREQCoYWpIRHdTC9QqVSaqg0AALQXAjwAAABAe8ooKLlTUU1EPj3tiWHUD3m52hJR1V15VmGZZooDAABthgAPAAAA0J5ib2axjQBPp0aHvF1t2caNdMyiBwCAR4YADwAAANCezt/IZBtNA3xvFxu2cRXr2AEAwKNDgAcAAABoT2eupbONQd4ujQ75uXdnG5dv5XRqTQAAoBMQ4AEAAADaTblUdjOjgIicbS3srcwaHfVytdXXExLRhZuZSiXWsQMAgEfzRAT4X3/9deI/ysvLNV0OAAAAQBudupLKJvNhvj2bHhUJ+ey8+rIqGWbRAwDAo3oiAjwAAACAbjgae4ttjPR3b/aE0f17sY1DFxI7qSYAANAVCPAAAAAA7UOlUh08l0BEPB4TGNCr2XPGD/JkGxExNzqvMgAA0AkI8AAAAADt42Jidv6dCiIK8HTqambU7Dl9etg52XQhoitJOTlFeHIQAAAeAQI8AAAAQPv45ehltjFleN8WTgse3peIVCrV7yfiOqMsAADQFYKOvkBiYmJERERubm5xcTGPx7O0tHRwcBg/frynpyfDMM2+5dSpUwcOHMjNzRUKhT169Hjuuef69evX9LTs7Oy//vorKyursLBQIBB069bNxcVl0qRJDg4Ojc4sLi7ev39/fHw8W0O3bt369es3efJkExMT7pyjR49u2bKFbW/cuFEoFP7yyy83b96sqamxt7fv27fvzJkzxWJxo0+Wy+WHDx9OTEzMyckpKSmxtrZ2cHAIDg52c3NrQw2Pel8AAADw5Kiprd977AoR8Xm86aMlLZw5Y7Rk096TRPTdgXOvzRzJ4zX/jQgAAKCRjg3wO3bsiIyMVO/JycnJyck5e/bslClT5s+f3/Qtv/7668GDB9l2bW3t1atXr169Onny5Oeff1498IeHh//www/qb5RKpWlpaceOHZs9e/aMGTO4/vPnz3/22Wd1dXVcT3Z2dnZ29uHDh9977z0PD4+mNSQmJu7evZt7S0ZGRkZGRmxs7Oeff66np8edlpubu3r16uLi4qZ3N2HChIULF3IFt76G1t+XutTU1Kar9wsEAoGgw3+gAQAAANamvSdLKqqJaEyAh13XxhvIqfP3cOzrZn81JS8lp3j3odj54wd0Vo0AAKDdOnAK/ZkzZ9TTu7GxsUgk4l6Gh4cnJSU1fReX3tXt27fv9OnT3MubN2/u2rWLe2lhYWFtbc2mZZVKtWfPntjYWPZQRkbG+vXr2eTM5/N79OjRvXt39lB1dfXq1atLSkqaXm7nzp3qYZuVn58fHh7OvaypqVm7dq16ejc2NubakZGRJ06ceNQaWn9fjezYseOlJvT19Q0NDZs9HwAAANpX9u2y1d8eJCKGYd4IG/3Q89+Z/yzb+Hb/uY6tDAAAdEgHjtBykdvc3HzdunV2dnYNDQ1Xr15ds2YN25+YmNirVzMLtI4ZM2batGlisfj48eO7d+9WqVRE9MsvvwwdOpTH4xHRhQsX2E6xWPzZZ5+xc8sLCgpWrFhRVlZGRKdOnQoICCCiXbt2KRQKIjIwMPj444+dnJyIKD4+fs2aNQqFQiaT7dmzZ+nSpU1rmDt37pAhQ0Qi0YkTJ3788Ue2Mz4+ftasWWz70KFDt2/fZtvDhw9fsGCBiYlJQUHB+++/X1RUxF561KhRDMO0vobW3xcAAAA8UfT1hGI9wd2aOkszw9e/vP+LPy//jvpp/V9Yz7UtTA2rquWzxvh3XpUAAKDlOnAEXiwWSyQSiUQyY8YMOzs7IhIIBD4+Pnw+nz2BC8DqvL29X3755W7dupmamk6dOjU4OJjtz8/Pv3LlCtvOzs7mzuc+zdbWdu7cuYGBgYGBgba2tkQkk8ni4+PZo5MnT2aTMxH5+voGBgay7dOnTzc0NDSqITg4OCQkxNraukuXLtOmTevZsydXA3fOpUuX2IaZmdnSpUvZR9ltbW3DwsLY/srKyry8vEeqoZX3BQAAAE8aK3PjuN1v93Toeqe8Oi4pl/uHqZWr/6N+qLTy7hevT3s55BlN1w4AAFqjA0fgly1bxrWlUmlWVlZ2dvbFixfZ4egHGTdunPqz7hMmTOAmrmdlZbGr2Zmbm7M9crl88eLF7u7ufn5+Eolk+PDhI0eO5N5bUFDAtWUyGTennYi4Gurr64uKitjfFzgSyb8WnnFwcEhNTWUv1/TD+/fvz4VtIgoICFixYgXbNjQ0fKQaWnlfAAAA8ARytbM0Nmy83i0AAEA76thFznJzcyMjI+Pj45sdbG+Wvb29+ksLCwuxWMwmZy4MT548+fLly9XV1USkUqmSkpKSkpL27NljbGzs5+cXFBTELgtXWFjIfc6+ffsedMXCwsJGAV5fX1/9pXo+Z8nlcm7ROAsLC/VDenp6AwbcX4omISGh9TW08r4AAADgyXRx5xuaLgEAAHRZBwb4mJiYjRs3cuPMAoHAycnJ29v74MGD6kPZjTRKywzD6OnpsefX1taynS4uLl9++eXff/998uRJ9dXXpVLpqVOnTp06NX/+/ClTprRwFXV37tx5+En/1nTW/YM8Ug2tvK+mbx83bpyXl1ejzg0bNrTy6gAAAAAAAPDk66gAX1dXt337dja9Ozo6hoaG+vn5CYVChULRwkA0ETWa0F5TU1NZWcm21QfnLS0t582bN3fu3NTU1IsXL8bGxqo/QP7jjz8OGzZM/Ynx9evXN7tgXtsYGRkZGxtLpVJ6WP5/1Bpac1+NxvyJaMSIEU0/at26ddxPHgAAAAAAAKDtOirA5+XlsVPBiWjatGncrPKkpCSlUtnCG2NiYtQfQT916hTXZldlLysr434CGDZsmJubm5ub25w5cwoLC7/77ruLFy8SkUKhyM7OdnZ25t6bnp6uHp4VCkV9fT3bFgqFTSfJP5StrW1ycjIRxcbG1tbWcvvDX79+fd26dWz7gw8+UA/wLddQWVnZyvtqGuABAAAAAABA53VUgFefZH7lyhVfX18jI6OsrKytW7e2/MaoqChvb+/hw4czDJOUlPTTTz+x/aampn5+fkRkZGQUERHBju2npqa+9dZbpqamRNS1a1f1oftu3bqZmZk5OztnZmYS0e+//y6RSGxsbIiorq7uyy+/ZHe5MzAw+Pbbb409Ko8yAAAJ0klEQVSMjB71BiUSCRvgpVLphg0blixZYmpqmp+fv23bNplMxhbs4uLCMEzra2jlfT1qqQAAAAAAAKADOirAOzo68vl8No5GRUVFRUVxa9Fxmh2KVyqVmzZt2r17t1gsVt+2bc6cOQYGBkQkEokGDhx45swZIkpISAgLCzMzMxOJRHfu3GE3USciKysrW1tbhmHmzZu3atUqIiorK3vppZecnJwaGhry8/O53xemT5/ehvRORBMmTDhy5Ai7PXtsbGxsbKyhoeHdu3e5E8LCwthd61tfQyvvqw3VAgAAAAAAgLbrqH3g9fT0uB3RWXK5nGGY0NBQbgw5LS2taYZ3d3cnotLSUvX0PmXKFG7XdCJ65ZVX1OeiV1RUFBcXcynX0NDwvffeY/eik0gkixYtYtsKhSI9PT07O5tLzqGhodw+84/K2Nh45cqV3MZvRMSld4ZhQkJCxowZw75sfQ2tvy8AAAAAAAB42nTgKvTBwcGWlpYHDhzIy8szMjLy8PAICgrq3bt3RkZGUVEREWVkZERHRzdagO3tt98+c+ZMbGxsVlaWvr5+z549R48ezU6e54jF4k8++SQuLu7o0aMFBQVlZWU1NTVdunSxtLQcMGBAYGCgoaEhd/L48eO9vLwOHTqUmZmZk5PDMEzXrl09PT2DgoLYh+rbzMXFZdu2bQcPHkxKSsrNzS0rK7OxsXF2dg4ODlZ//L71NTzSfQEAAAAAAMBTheEGeEHHuLu7p6SkbN68ecmSJZquBQAAAB6uuLiYnaOHJ+YAAKBZHTWFHgAAAAAAAADaEQI8AAAAAAAAgBZAgA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The above figure shows that without standardization of predictors, it looks like there is a different amount of uncertainty on the relevance of the predictors. For example, it looks like absences
has really small relevance and high certainty.
Standardize all predictors for easier comparison of relevances as discussed in Section 12.1.
datastd_G3mat <- data_G3mat
datastd_G3mat[,predictors] <-scale(data_G3mat[,predictors])
Default weak prior on coefficients
Fit a regression model with default weak priors
fit1 <- stan_glm(G3mat ~ ., data = datastd_G3mat, seed = SEED, refresh=0)
Plot posterior marginals of coefficients
p1 <- mcmc_areas(as.matrix(fit1), pars=vars(-'(Intercept)',-sigma),
prob_outer=0.95, area_method = "scaled height") +
xlim(c(-1.2,0.8))
p1 <- p1 + scale_y_discrete(limits = rev(levels(p1$data$parameter)))
p1
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)
The above figure shows that after all predictors have been standardized to have equal standard deviation, the uncertainties on the relevances are similar. For example, it is now easier to see that absences
has relatively high relevance compared to other predictors in the model.
Compare Bayesian \(R^2\) and LOO \(R^2\)
round(median(bayes_R2(fit1)), 2)
[1] 0.31
round(median(loo_R2(fit1)), 2)
[1] 0.16
Compute LOO log score
(loo1 <- loo(fit1))
Computed from 4000 by 343 log-likelihood matrix
Estimate SE
elpd_loo -864.7 12.6
p_loo 26.5 2.0
looic 1729.4 25.1
------
Monte Carlo SE of elpd_loo is 0.1.
All Pareto k estimates are good (k < 0.5).
See help('pareto-k-diagnostic') for details.
Medians of Bayesian \(R^2\) and LOO \(R^2\) are quite different, and p_loo is approximately 26, which indicates that the model is fitting to all predictors.
If the predictors have been standardized to have standard deviation 1 and we give the regression coefficients independent normal priors with mean 0 and standard deviation 2.5, this implies that the prior standard deviation of the modeled predictive means is \(2.5 \sqrt{26} = 12.7\). The default prior for \(\sigma\) is an exponential distribution, scaled to have mean equal to data standard deviation which in this case is approximately 3.3 which is much less than 12.7. We can simulate from these prior distributions and examine what is the corresponding prior distribution for explained variance \(R^2\).
Bayesian \(R^2\) distribution
ggplot() + geom_histogram(aes(x=bayes_R2(fit1)), breaks=seq(0,1,length.out=100)) +
xlim(c(0,1)) +
scale_y_continuous(breaks=NULL) +
labs(x="Bayesian R^2", y="")
![](data:image/png;base64,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)
Prior predictive checking by looking at the prior on Bayesian \(R^2\)
ppR2<-numeric()
for (i in 1:4000) {
sigma2 <- rexp(1,rate=0.3)^2;
muvar <- var(as.matrix(datastd_G3mat[,2:27]) %*% rnorm(26)*2.5)
ppR2[i] <- muvar/(muvar+sigma2)
}
ggplot()+geom_histogram(aes(x=ppR2), breaks=seq(0,1,length.out=50)) +
xlim(c(0,1)) +
scale_y_continuous(breaks=NULL) +
labs(x="Prior predictive Bayesian R^2",y="")
![](data:image/png;base64,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)
pp1 <- mcmc_hist(data.frame(Prior=ppR2,Posterior=bayes_R2(fit1)),
breaks=seq(0,1,length.out=100),
facet_args = list(nrow = 2)) +
facet_text(size = 13) +
scale_x_continuous(limits = c(0,1), expand = c(0, 0),
labels = c("0","0.25","0.5","0.75","1")) +
theme(axis.line.y = element_blank()) +
xlab("Bayesian R^2")
pp1
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)
The above figure shows that with the default prior on regression coefficients and \(\sigma\), the implied prior distribution for \(R^2\) is strongly favoring larger values and thus is favoring overfitted models. The priors often considered as weakly informative for regression coefficients turn out to be in multiple predictor case highly informative for the explained variance.
Weakly informative prior assuming only some covariates are relevant
We next use regularized horseshoe pruior, assuming that the expected number of relevant predictors is near \(p_0=6\) and the prior scale for the relevant predictors is chosen as in the previous model but using \(p_0\) for scaling. We can then simulate from this prior and examine the corresponding prior for \(R^2\)
p0 <- 6
slab_scale <- sd(datastd_G3mat$G3mat)/sqrt(p0)*sqrt(0.3)
#
ppR2<-numeric()
for (i in 1:4000) {
sigma2 <- 0.7*rexp(1,rate=1/sd(datastd_G3mat$G3mat))^2;
global_scale <- p0 / (p - p0) * sqrt(sigma2) / sqrt(n)
z <- rnorm(p)
lambda <- rcauchy(p)
tau <- rcauchy(1, scale = global_scale)
caux <- 1/rgamma(1, shape=0.5, rate=0.5)
c <- slab_scale * sqrt(caux)
lambda_tilde <- sqrt(c^2 * lambda^2 / (c^2 + tau^2*lambda^2))
beta <- rnorm(p) * lambda_tilde * tau
muvar <- var(as.matrix(datastd_G3mat[,2:27]) %*% beta)
ppR2[i] <- muvar/(muvar+sigma2)
}
ggplot()+geom_histogram(aes(x=ppR2), breaks=seq(0,1,length.out=50)) +
xlim(c(0,1)) +
scale_y_continuous(breaks=NULL) +
labs(x="Prior predictive Bayesian R^2",y="")
![](data:image/png;base64,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)
The above figure shows that the regularized horseshoe prior with sensible parameters implies a more cautious prior on explained variance \(R^2\) than is implicitly assumed by the default wide prior. The horseshoe prior favors simpler models, but is quite flat around most \(R^2\) values.
Fit a regression model with regularized horseshoe prior
p0 <- 6
slab_scale <- sd(datastd_G3mat$G3mat)/sqrt(p0)*sqrt(0.3)
# global scale without sigma, as the scaling by sigma happens in stan_glm
global_scale <- p0 / (p - p0) / sqrt(n)
fit3 <- stan_glm(G3mat ~ ., data = datastd_G3mat, seed = SEED,
prior=hs(global_scale=global_scale, slab_scale=slab_scale),
refresh=0)
Compare Bayesian \(R^2\) and LOO \(R^2\)
round(median(loo_R2(fit3)), 2)
[1] 0.19
round(median(bayes_R2(fit3)), 2)
[1] 0.23
When we compare models using LOO log score, the new model is better than the default prior model, but there is no difference compared the model with normal prior scaled with the predictors. It is common that the data do not have strong information about how many predictors are relevant and then different types of priors can produce similar predictive accuracies.
Compute LOO log score
(loo3 <- loo(fit3))
Computed from 4000 by 343 log-likelihood matrix
Estimate SE
elpd_loo -860.2 12.3
p_loo 19.0 1.4
looic 1720.3 24.6
------
Monte Carlo SE of elpd_loo is 0.1.
Pareto k diagnostic values:
Count Pct. Min. n_eff
(-Inf, 0.5] (good) 342 99.7% 1554
(0.5, 0.7] (ok) 1 0.3% 2212
(0.7, 1] (bad) 0 0.0% <NA>
(1, Inf) (very bad) 0 0.0% <NA>
All Pareto k estimates are ok (k < 0.7).
See help('pareto-k-diagnostic') for details.
Compare models
loo_compare(loo1,loo3)
elpd_diff se_diff
fit3 0.0 0.0
fit1 -4.5 3.0
loo_compare(loo2,loo3)
elpd_diff se_diff
fit2 0.0 0.0
fit3 -0.2 1.6
Bayesian \(R^2\) distribution
ggplot()+geom_histogram(aes(x=bayes_R2(fit3)), breaks=seq(0,1,length.out=100)) +
xlim(c(0,1)) +
scale_y_continuous(breaks=NULL) +
labs(x="Bayesian R^2",y="")
![](data:image/png;base64,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)
pp3 <- mcmc_hist(data.frame(Prior=ppR2,Posterior=bayes_R2(fit3)),
breaks=seq(0,1,length.out=100),
facet_args = list(nrow = 2)) +
facet_text(size = 13) +
scale_x_continuous(limits = c(0,1), expand = c(0, 0),
labels = c("0","0.25","0.5","0.75","1")) +
theme(axis.line.y = element_blank()) +
xlab("Bayesian R^2")
pp3
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R4AAAAiIAADwAAABEQ4AEAACACAjwAAABEQIAHAACACAjwAAAAEAEBHgAAACJQ2tcN6L6OVDaE8Njrq0cO7J9YfPLEkaMHV+35RgEAAMAeEXGAb2jrDCH83X3PFlL8m78/4/zjD9vDLQIAAIA9JeIAn3PulOEDKvJtRUtn+jcLN+219gAAAMCeEH2Arywr7lee70r+TDa71xoDAAAAe4hJ7AAAACACAjwAAABEQIAHAACACAjwAAAAEAEBHgAAACIgwAMAAEAEBHgAAACIgAAPAAAAERDgAQAAIAICPAAAAERAgAcAAIAICPAAAAAQAQEeAAAAIiDAAwAAQAQEeAAAAIiAAA8AAAAREOABAAAgAqV93YA9LpPJhhAWvrulX1nyxh4xcuD4ETV7vlEAAACwe/b/AN+WyoQQ/uk3fyyk+DsXfOS684/fwy0CAACA3bb/B/ickycMGj2oIn/NQ69t2juNAQAAgN11oAT4/hXFA/slbGxR0d5pCwAAAOy2AyXA96KfPLno3c2NhVQeNLD/3804Zk+3BwAAgAOBAP8/ZDLZVDqTv+beZ5a+uHxDeUnCBP6d6czEUYMEeAAAAHqFAP9/daSy33rw5W89+HJi5fhh/T4xeUj+mudWbO+ldgEAAIAA/z+NGVp56KDK/DUvrqrfO40BAACALgL8/zC8uvzIUVX5a15+r2HvNAYAAAC6JFzIDQAAAOwLBHgAAACIgAAPAAAAEXANfB+bv2jdfc8sKbD4uxd+5JAh1Xu0PQAAAOybBPg+9k7ttnufWTKsuix/WWc6W9+a+oczpwjwAAAAByYBfp9w3rEjivIWbKhvf+TNLXupNQAAAOx7XAMPAAAAERDgAQAAIAKG0O8prR2ZzkzHz55bmr/spZWbCllaY1sqhHD5nU9VVyZcLR9C+Mb5x3/iqIMLWSwAAACxEOD3lPrW1LaWzi/cNq9XltaZzoYQ1tbVl5XkGzSRyWbXbGv7fz52ZK+sFAAAgH2HAL8HDepfeu6U4flr/rB027t1bQUu8MTxA4dU5TsD396Znb2gttD2AQAAEA8Bfs8qz3vCPIRQXJx/+nkAAAAIwSR2AAAAEAVn4Pcv2RBC2N7SsX57S2JtdWXZgAKmxAMAAGBfIMDvVzrSmRDC39zzh7+55w+JxV//0+O+d/GJe75RAAAA9AIBfj909OjqgwaW5695dvm2Xlzjr19eOffNNQUW3/qFUyrKSnpx7QAAAAcCAX4/NKy6/LCh/fLXPLNs24vLN9748MLEpR0+cuBnp43PX/PCsg0/eXLRwH4JA/I7UpnmjvTNnzspf4B/e+3Wz976u8SG5Xz3wo9c8JEJBRYDAADES4A/QHWmwx/eqX12yfr8Zels9rixw1LpTP6yJeu39y8v/ezUEfnLlm5s/sOy7Ylta+1ML1m//bBh/fqV5ZtkMRvC4vXN21s6EhcIAACwHxDgD1zHHFw9bdzA/DWzX1z/6rtb/vzf5iYurbqilz9LxxxcPWJAvgsB0pns4vXNvbtSAACAfZYAT4KDB1V+fNKg/DX/+VZdRyqbuKhMJhtC2NLY2tqRylO2rbl9t1oIAABwIBDgSVBSHCqT5pwrLipoUZubOkMIh/39/T1v1QHoVy+tyCYfJAkhhPEjao4/bPgebg4AALC3CfDsbadPHFxSlC/xb2joWLS+aa+1JxYX/++5mcIS/F9+7Mif/OXH9nBzAACAvU2AZ28bN7RfWUm+AJ8JYVHC5Hp7xJWzn3vi7bWJZZlsdnBVxW//4cz8ZR2pTFN75+D+FXkPVoR0Jlvf2lFTWVZakm/Gvpzjx9ZMPqgqf82jb21OXA4AABAjAZ5Y5U5Gv/ru5l+/XJFYfPhBA6eMGZq/5r0tje9uqj90SMLSVte1Le7MDPuruwttaO8pKynqV56Q84vzHzD4by+v3LS6rqBhDmUlxedOHVdIZaKWjtRjr68usPiYQ4dMHJkw+QIAABxQBHhilZsS77Yn3r7tibcTi/9uxjG3fuGUxLKB/UpPOXxw/ppHWjZ3ZlKnHJ4wgf+yza1rt7adcvjg/BMI1DV1vrGu6dhDBwzun9AZn1yyLX/BbvnR42/8x/PLCqmsrixrvPMve2Wlm+pbL7j1dwUWf+/iE7/+p8f1ynoBAGD/IMATtxPG1UwYkTCqfM4rG+5/ftmTi2rzl723pbG6vKDT1yXFRROG989fs7mpc20IY4dW5r+bfVlJ+xvrmkYPqhg9MOHMf+8G+BDCsOqyTx81LH/N2+ubVmxu6931fmzi4NGDKvPXzPnjht5dKQAA7AcEeOJWVlrcP2lUeSYTMul0Z2dCEG1p76wuz3fn+f1McVFR8n9dOpvKZH/zx1WFLHDGnxzavzz5K6W8gLcsFHYhQIH+fe5bv39zTSGVJcVFD155Ri+uGgAAepEAzwFh9KDyj45PuKB6dV0vn2reD2xrTbV1pD7zo8cLKf6L0ybX9Mt3BKShtaOX2vVflm2ob27vTCyb9/bax15/b8SAhKMzTe3pxrZ0LzUNAAB6nwAP+5WmttSDf1z58spN+ctW1zXlHdr/f5UWF1344YPy17y5rumtdU2/XLC8uDjfje5S6d48rx5CuOzH815cvrGQyiFVZWcenXC9wFu1TS+tauiNdrGX/Nvct+58clGBxX/4X+fnP8DU62Y/u7SuqaDDggcPrrrwhAl7uj0AwH5AgIf9Sjob0ul0W0dCbGhq6xjcv6ygJRYVVZXnnYgvhLLi4hDC2ccMG1CZr3JDfccjb/byXe4OHlRx3KED8tc8tbSXpw8oREcq89jr7xVYPGnU4Mmj98Up95du2H71z18ssPjvZhzz8aMOzl/zxFtrCxk08auXVq7e0jSkOmFiiEXrtq3cVD9hRMKEFA2tnevrO1LpfEeXQggNrR1PLlqX2LacKWOGjRue8MH7l4dfXVS7LfGoVTaEUyaOEuD3Pz95ctF/vlbofTd+feWMAu8hAkAUnly0rsDBp0OrK0+ZNKrwJQvwsL8ZWVN+6uEJaXDd9n36eoFUJnP9g3+88eGF+cua2jrGDq0cmTT/X0lxQbvFmxo6Mtns4C/9tJDiF6//zKRR+f6Tt7e0n39LQZcehBD+1/nH/9MFHymwOL/121s2N7Qmlj2y8L1/eXhh4v9MKpNtausYXl1eVpKvMhPChvr237+5prw04VhPQ1tH7v4RiSrKiob2TzhhvqWps7y0KPHTvmJz6/r6rYlrfHdzY+Fv2b/POvX//dTRiWVHjqw6eUJC8+a/k9y2EMKmhtYN21sKalwIRx48uKyksDE2Sa5+4MWOVEGXlnxkwohLPnpEr6y0QE1tnSs3FTpqZtzwAXt5CMZr79U9svDdxIt3mjvS9a2pbDYE+T0SG+tbN9YX2hmPOnhwaS91Rna1YmNDIQeFQwj9ykuPGJlw/6B93KrNDY2tBW1sRVlJ/l2UA019S8d7WxoTy7Y0td399DsD+5cX8gP62WnjEyP339337FtrC/qJP+mIkc99688KqcwR4IF9TzYMrSpJTOYL1/TmRfWZbAhFYcLwhJU2tqaWbmpJF5ZCT54waMyQhCn3f/HHjT95avEjryWcrl9T11RcXHTw4IR7Lqzd2lxIgM85bsyA/Cf9tjR1NrWFkw8fNKw633iN1s70/Qs2jBhQOrQ6Iau8urp98siqxEETv3lt09Cq8jOPHpq/7Levb25qT+WvCSG0dKZDCHfMX9S/It9PXu225hDCJ48cMiLvVmRDeODlDW2dqcTD6plstpBEls1m05lM4tL+9+/e/O7/eaWA5YUQwpp//cIhQ6oLLM7vX3/3RjabLS9N2JtpaU9fevLEvRzgn1+2YcaNjxRY/OuvzPjMtPH5a37y5KLWjoKOVhwxcuCZU8YkllVXlpx1TMLFO4vXNz+3YnviotKZbCFBpSOV+enT75SVFBdy4PLD44efdMTIxLJ9Viab/bffv1Vg8ZQxQ08/cnSvrPe2eW9d/+AfCyxe/+8zRw5MGCXUJ9o60wUemysqKhpQWdiQvSTZbGhsK/SHu7KsNPGb57Ifz3t+WUG3rTn6kCFv/svF+WveWF331OKEOxZ1+fzJExOHifWuL9319BNvrS2kcvyImhU/vHRPt2dH6Uz23+cW2hmPGzfs1N0525xHe2e6vYCP8YMvr/ziT54scJn9y0sSvz8b21ITDhpYyDnzw0f0mzY24cjR8wX8BOxEgAf2RaMHVkxJinlvrE0+nrq7ErPlu1tbl25qeWrRuhUb6/OU1bd0hBAqyoqrKhJOSmez2Y7OzuaWhPM525ra+pWXJpY1tLRXlZd8fNLg/GWvrW1au63t2EMG5P+VWrKx+b26Qg8HjBnab2LSaPaFqxvKSooS/09690xkY2s6hHDNL5OuBciGEEK/0oS3LJsNIYR/vP+Ff7z/hcRVHzkq4YBLCGFTY+equo0DL78rsbKspGjGUQkHNTY0dvzx3V6eymHKoQP+5OCEwwEPvZYw78ZuefjVd+95ZkliWe4s6McnDanKe2OLtlT2icV1haz36794cWtze3JdNlzwkQmFBPhe9MKyDad+56FCqws6dBQ+O2183anJo7EOGtj/IxNGFLrqvSidyX5l9rMFbuwV04/urQAfQigvLfr0kQmdcfW29jfWNv7+zTWD++eLeW0d6TfW1E0ePaiQESJHHzrksOE1u9fWD3D5nU/97LmlhVRWlBb/8u9mFFL5yaMPyX8zmjVbm8Z+ZXZB7QvhhotOuPbcqYllowdVTj004QvqzXVNhazxD0vWF/SJyoYQwsML383/lqUy2T+u3HTEyIFDqxOO44cQLvjI+EIOgB5UUz5tbMIH4O31zYnLKdz2lvZn3lmfWNaRShfeGa88408SA/zLKzcVMujsZ88tm7NgeQFrDSGETx85tLw0XxNzP6AfnzRk1MCEznjns+veWlP38Kvv5i9rbO3oV8B+YGneQY7v/5LdfQHAgSw3U/3f3PtMLy5z7JDK45N+kt+raxtaVXbaxIRk/puFmzozmcTBC/02FRrL9xtf+MjoirJ8v5GrtrTOK2w0ewjhiBH9Rw9K+E9+Zlmhky8MrCw9dkzCkaPX1za1dKQS39n2dKaQNXakMks3FHTIP5staLBJa2fmj6s2/eP9z+cvW7J+e3N759Rxw/OXvfLu5qffqR1Vk3zniBDCsOqygf3y7cw0t6dCCKvrmhKHMqYz2amH1kxNei9mL1j/21dXDf2rhMttmttT/fJ+5Lrh+LE11Xn3Bds6MwtW1X9s4uDDhyccTbvrudpfv7zy1y+vTFzpWceOefSqs3evoR/glVWb/+P5ZYllqUx2e0v7pScdMTrvmKNUJhNCOGXC4MkjEzb2l38saLrTNXVN9QVcsLqpobUoFCV2xve2toUQZv54fiGrLtDXzjnuC6dMTCwbUlWR/78uZ0BlaeKn/c11jVubU+f+8LFCmjeof3lx3oPCubFrR4+uHpp3VFcI4dnlhZ6T7FeW/F4sXNO4YXtL4hfUa6vrQgh/eXLCZC5v1Ta/uHL76+9uyn/RWCoTNjd2tLS390uaNHhjY8eRoxN+3HMqS4sTN3b55tamjkyBI7c/dPCQ/JNvLF1fX+C7H0I4dcKgSSMTPnizX1z/h3fWJ74X/+eVVSsKu0KqvLQo8T5TKza1rt3eNqKmvDLve1HgD2jO7fMX3T4/eRrdyUn/Id0jwAPstrOOHlqTNzPUt6Yee6ugk37EaPiA8iOShhs8u7zQAN+voiRxacs2tbQUMPK0tTMdQrjnmSWD8p7029zY+k8FjwEuRHtnZtmG7WvqEva3mtszoSj7yqqENNXamS4O4exjEnL+62sbXy5guEFbZyaE8Pc/ey6xMoQQQvK5smw29C8vHjckYTd68frk6zvCfx8iaWrrzD8cprUjFUIYM6RyaFW+5NPUkVqwKt/goB0dOapqyiEJpy6fLmwS0I5UppDx2K+8u/mHj71eXVFaVJTvwFBnOtvWmbmvgFEYvevKnz33YAFHNEIIFUlDu7ucf+yIyrzHcWrrO/6wdNvHJyprEEoAACAASURBVA05qCYh0z7w8sabHll40yMJs8OEEL54+uS7Lv94YlllWVHiN8+KzS31rekLj08YgvHWuua3apsOGVSef9B7c0d6e3P7qEEVY5MuLvvDsm3/39y3Et+OJbXbD6pJzjLNHemG1tRPnkwY493auRv57bSJg/JPBlzfmvrlKxuPO7RmwvB++Rd1/0vrO1KZpraEa2QKvHZvc2NHXXPnMV//RSHFx40blv9KutwB0OlHDR1ale//uSOVfXBhQeOwOtPZN9fULduQcHyhqS09cmDFxyYmJPMnFm9r7kglfoy3NHau3e1R6gmOH1NzxEEJ7+wv/9ibY9N2JMAD7Lb+5aXVeS+o7nRHefpCboTI//rlS4UUf2RczfABCSn00YLvHDFuaL/Tk0aIzHllU3lJ0fnHJiTz3y+uW7u1lyfaPH5szciapI19q9CNHdy/LPHU5aotrdmQvMO9sbEjhDDoS8nXUPS6spLi/N9jIYSWjsyr72658F9/n7/szTV1S9YXuoP82anD888RtXxz81NLtp80ISEgpTPZx9/eUsga2zozj7+xJnErFqzYOLSq7MSks3kvrNze3F7oV3xVRXG/snwnavuVpkMIlWXJ70UI4ahRVYcNS8gqcxfVzV9Um7ixL60oNFoUhZDYtvKSkhDCh0ZXDajMV7mpsXPJhoIGeGezoa2zo6E5oQe1dKQKzDID+5V9dmrCYYh572xdtaUPhqe1dWS+/+jC7z+afGgm8cBHTv/yko9PGpK/5vW1jWu3tTU2t+Q/A9/Qmg4h9C8ryf8ZaC/ZjWMfkw7qf+L4hMvC71+wvqQo+YNX0nc37ygvLSqkz+4hAjwA7FcumTYy/0V3tfXt//nmliFVZYlX+u03Bvcr3Zc39rQjBoe8aX/99o5lmwud+bwXtXdm21Ktzy5JmDqrrqmjoqzohHEJO+XLNreu317ALAMhhBCGVpcdlHcO/8KmYAshhM5MtnZbU1NbwlGhzY0dIwYkd4ry0qJCpkrYE2oqkz/GmWx24/bmZ5ckNHFzY8eQvOdU+9xhQ/sdmzgrTcGztOzjxgypHDc0IZy/sLLQwTUlxUWJn5NlG4tDCKccMag079ifpRtbNzb20cedD9ZrXbe+NfVO0kG1jnQ2kw2L1ifMJNHUlsqG5LJNjZ0hhOWbWvOPTcpdI7dma1shh0s3N3YkrjedzTa0pRPL2lOZELKJZQ2tqRDC4vXNCb/cDR0hhJVbWjc05OtF7Z2ZEEJtfXtHOnFjs1uaUskbm8k2tSdvbFtnpjOTSSzb1pIKISzZ0Fycd+jZ5qZUCOHdLa1bmvINGM1dqLK+vj2TdIlmNoStzckbm8pkmzuSN7alI50uYGO3NqdCCMs2NuefmmJbc+7izLbtLcnTC29s6CguSlhvNhu2tyZvbGcq2xqSt6KpPZ3NJH+Mc+/U8s0tFXlnB8mdG1yzra2QmcM3NXUmrjeTDQ2tyW9ZRypTXFSUWNbYlgqFfPM0dIQQVmxu6Zd33qzWjkwIYd329rakc/HZELYUsLHpbLaxPfmdbevMpAv4mq1v7QwhvLOhJf9A1tzGrtrSuinv73fuFuu129tTSdePZUOoK7AzFrCxrZ2ZVAGfz23NnSGEpRubSvJ2xrrcN8/Wtq0JnbEohLChoT3/l3YIIZsN25qT39lUJtvSkbyxze3pTCb5nd3S1BlCWLa5pTzvxta3pkMIq7e2NbQV0Bkb2hcljRfOZLP1BXzzdKQy6QK2oqktXchuwMb/7oz5L2tsaU+HENZub28pYGBMQbsBmWxDW/LGtqcy2QI6Y243IJXJ5v9EpbPZEMLKLa0b8+4GdKRynbGjI5V0Qiwb6poK2efJVJeXjh+WEC2a2lKd6WwqaYhv7i6S72xoyX+Tptxvyrt1bXV5dwNya1tf357JJn3zZMPAfqWHJW3F1ubOlvbkX8aWjnQhX7O5xi/d2Jr3BPx/7Rqt3tpaX8AdwjY2dBQXJ/8y1lSWJL5l21s62zqTN7a5PZ3JFr4b0Jp/N6CpPRNCWLutrbmg3YDkz2cmGwr75skWsk+e20sp8Jtn5ebWfuX5OmNbZzaEsG57W+I06dkQMtmQ2H2yITQWsk+eyqQL+GXc3pYKIbyzoTn/hOu5tLWqrnVzU97dgEw2hLC+oT2dvE+e3VrAL2O6sH3y1s50Kp38luV+1pduasl/7Utun/y9utZtBVyxtrGhoyhxnzxkC9knr29NHbSbd/0rKnB+mvzWbq4/9JJv9nw5sBvcNRcAAIjZR08+9fnrL9iNF2R7w+uvv15W1ju3iAT6XHl5uR4N+43y8vLy8n139DiwW/Ro2J+UlZW9886S3YrevRPgTz311EmTJvX15gO940/+5E+OPPLIvm4F0DuOPvroD33oQ33dCqB3HHXUUcccc0xftwLoHUceeeSnPvWp3YrevXMNfFFR0SmnnPLOO+/0ytKAvjVjxozhw4cvWpR8f0tg33fuuedWVFS89VbCLZSAKFx00UWtra1vvPFGXzcE6AWXXXbZhg0bduslhd7HEgAAAOhDAjwAAABEQIAHAACACAjwAAAAEAEBHgAAACLQO7PQjx49evjw4b2yKKDPjRo1asiQIX3dCqB3jBw5sqysrK9bAfSOgw46qK2tra9bAfSOboToomw2uyeaAgAAAPQiQ+gBAAAgAgI8AAAARECABwAAgAgI8AAAABABAR4AAAAi0KPbyGWz2fnz5//ud79bvXp1JpM55JBDPvnJT5555pnFxY4LQF/aO32zpaVl2bJlH/TXiRMn9uvXrxdXB+yoJ91c54W+5Wca6PLqq682NDR87GMfK7C++7eRy2azP/zhD59++umdnj/++OOvu+66kpKS7i0W6KGe981UKvXwww+/8sortbW1TU1Nhx566IQJEy644IIRI0bsWPbSSy9997vf/aCF/OhHPxo/fnz3NgHIr4fdXOeFPtST/nvFFVesXr06//KvvfbaE088MejpEIN0Oj1r1qyKioo777yzwJd0/wz8o48+mvvqOf/88z/5yU+WlpY+9dRTv/jFL1555ZVf/OIXn/vc57q9ZKAnetg3169f/93vfnfNmjVdzyxbtmzZsmXz58+//PLLZ8yY0fX8unXr9tAmAPn1sJvrvNCH9toutJ4O+74nn3yyvr5+p5Nk+XUzwHd0dMyZMyeE8OlPf/ov/uIvioqKQgiXXnppZ2fngw8++Nvf/vb888/v379/9xYOdFsP+2Y2m/3+97+/Zs2aysrKWbNmffjDH+7fv/+yZcvuu+++FStW/PjHPx4/fvwRRxyRK66trQ0hfOYzn5k1a9be2DYghNAbP8E6L/SVHvbfK664or29/X3/lPuxHj169LHHHpt7Rk+HfVl9ff38+fP/4z/+Y3df2M0rbd56663t27eHEC666KLcV0/OBRdcUFxc3NLSsnDhwu4tGeiJHvbNRYsWLV++PITwla985ayzzhoxYkR1dfVxxx33L//yL4ccckg6nb7//vu7iteuXRtCGDNmzJ7aGOD99PwnWOeFvtLD/jt58uQp72fy5Mnz5s0rKSn56le/WllZmSvW02HftGDBgpkzZ37hC1+4++67P+iQXB7dDPBvvvlmCGHMmDE7ne6vrq4+8sgjQwhvvPFG95YM9EQP++bKlStDCKNGjTrppJN2fL6iouLcc88NISxbtqxr4ozcof2xY8f25gYASXr+E6zzQl/ZQ7vQ99xzz7p162bNmjVhwoSuJ/V02De1tbUVFxcPHTp06NChVVVVu/vybg6hr6urCyFMnDhx1z9NnDjx7bff3rp1a/eWDPRED/tmbmqcCRMm7HhaIGfUqFEhhMbGxs7OzvLy8paWlm3bthUVFbW1td1www0rVqxobm4eN27cpEmTLrzwwgEDBvTaJgH/Uw+7uc4LfWhP7EK/+uqrjz766JQpU3KH2nP0dNhnnX766aeffnru8bx582699dbdenk3A3xu8E9NTc2uf8p9I+QKgL2sh33znHPOOe2004YNG7brn1asWBFCGDZsWHl5efjv4/rZbPaaa67pqlm8ePHixYuffvrpq6666phjjunRlgAfoIfdXOeFPtTru9CpVOrHP/5xUVHRF7/4xR0PvuvpsL/qZoDftm1bCKG6unrXPwnw0Id62Dc/aKDd5s2bf/Ob34QQPvWpT+We6ZrbdtSoUZdddtnkyZM7OzvfeOONe+65Z9u2bTfddNNtt932vs0AeqiH3VznhT7U67vQv/vd7zZs2PCJT3zisMMO2/F5PR32V90M8M3NzSGEfv367fqn3JMNDQ09aRbQPXuib7799tu33HJLfX39oYceet555+WebGlpGTNmzODBg6+66qqBAwfmnhw5cuQxxxxzxRVX1NfX//znP7/88su7vyXAB+hhN9d5oQ/17s90a2vrAw88UFpauuvN5/R02F91M8BXV1dv2bKltbV11z+1tLSEELpxOT7Qc73bN7ds2XLfffc99dRTIYSxY8d++9vf7nr5mWeeeeaZZ+76klGjRp1xxhkPP/zwa6+91o32A4l62M11XuhDvfsz/dBDD9XX159zzjm73kRaT4f9VTdnoR80aFAIoampadc/5Z4cPHhwT5oFdE9v9c10Ov3ggw/+1V/91VNPPVVeXn7JJZfccsstQ4cOLeS1Rx11VAihtrY2lUrtRtOBwuy5n2CdF/a0Xuy/nZ2djz76aAhhxowZu9UGPR2i1s0z8Llvn8bGxl3/JMBDH+qVvrlmzZpbbrll+fLlRUVF06dPv+SSS953WrsPMnz48BBCOp1ubW01zy30uj33E6zzwp7Wi/33+eefb2homDhx4u7eKE5Ph6h1M8DnTsQtX7581z/lpqou8Ewd0Lt63jfXrVt3zTXXNDQ0jBgx4mtf+9r73uomnU6/+uqrIYQPfehD/fv33+mvuRl6ampq7BbAntCTbq7zQt/qxV3oxx57LOwwueyO9HTYj3VzCH3uzhOrVq3a6WaVbW1tb7/9dlcBsJf1sG+2t7d/85vfbGhoOPHEE2+99db3Te8hhOLi4rvuuus73/nOvHnzdv3rkiVLQghjxozp9lYAefSkm+u80Ld6axd69erVixYtKi0tPfXUU3f9q54O+7FuBvijjz46N6Hlww8/vOPzTz/9dCqV6t+//9SpU3uhdcBu6mHffPrppzdv3nzIIYd89atfzTOPTlFR0cknnxxC+M1vfrPTOMAtW7Y88sgjIYRPfvKTPdkQ4IP0pJvrvNC3emsX+oUXXgghHHHEEe/7Y62nw36s5Nvf/nZ3XlZSUl5e/sorryxevLimpuaQQw7p7Ox87rnn7rjjjlQqdfHFFx977LG93VQg2W71zXvuuee3v/3twoULTzzxxNwzt99++5YtW4477rgBAwZsfD+bN28+6KCDQggHH3zwk08+uW3btldeeWXEiBH9+/ffunXrggULbrzxxubm5smTJ3/pS18qKirqm/8F2K/1sJvrvNCHeth/u8yePXvLli2nn376B+1y6+kQhVWrVi1YsKCqqurcc88t8CVF2Wy2eyvLZrM//OEPn3766RBCSUlJCCGdTocQTjzxxK9//evFxd08tw/0UOF98+qrr168ePHQoUPvvvvu3DOXXnrp+86s06WysnLOnDm5x6+//vp3vvOdjo6OnWoOPvjgb33rWyNHjuy9bQL+h55086DzQp/qYf8NITQ3N1966aWZTOab3/zmhz/84Q9akZ4O+7558+bdeuutI0aMuPPOOwt8STcnsQshFBUV/cM//MOUKVMef/zx1atXhxAOO+ywT3/60zNmzHA8D/pQt/tmS0tL/vS+kylTptxxxx2//OUv33777Q0bNlRVVY0fP/6YY44588wzKyoqeroZwAfr4U+wzgt9qOe70K+99lomkykqKpo8eXKeMj0d9kvdPwMPAAAA7DUGugMAAEAEBHgAAACIgAAPAAAAERDgAQAAIAICPAAAAERAgAcAAIAICPAAAAAQAQEeAAAAIiDAAwAAQAQEeAAAAIiAAA8AAAAREOABAAAgAgI8AAAARECABwAAgAgI8AAAABABAR4AAAAiIMADAABABAR4AAAAiIAADwAAABEQ4AEAACACAjwAAABEQIAHAACACAjwAAAAEAEBHgAAACIgwAMAAEAEBHgAAACIgAAPAAAAERDgAQAAIAICPAAAAERAgAcAAIAICPAAAAAQAQEeAAAAIiDAAwAAQAQEeAAAAIiAAA8AAAAREOABAAAgAgI8AAAARECABwAAgAgI8AAAABABAR4AAAAiIMADAABABAR4AAAAiIAADwAAABEQ4AEAACACAjwAAABEQIAHAACACAjwAAAAEAEBHgAAACIgwAMAAEAEBHgAAACIgAAPAAAAERDgAQAAIAICPAAAAERAgAcAAIAICPAAAAAQAQEeAAAAIiDAAwAAQAQEeAAAAIiAAA8AAAAREOABAAAgAgI8AAAARECABwAAgAgI8AAAABABAR4AAAAiIMADAABABAR4AAAAiIAADwAAABEQ4AEAACACAjwAAABEQIAHAACACAjwAAAAEAEBHgAAACIgwAMAAEAEBHgAAACIgAAPAAAAERDgAQAAIAICPAAAAERAgAcAAIAICPAAAAAQAQEeAAAAIlDa1w0AgH3XaaedtmLFijwFNTU1o0ePnjZt2kUXXTR16tS91jAA4ABUlM1m+7oNALCPSgzwOzrnnHNuvvnmAQMG7NEm7WuOPvrobdu2hRBmzJjx05/+tK+bAwD7M2fgASBZTU1N//79d3qyoaGhpaWl65+PPPJIXV3dAw88UFraBz+vzc3NEydODCFMmjRp/vz5e78BAMCeJsADQLLrr7/+oosu2unJbDa7YcOGuXPn3nTTTbmz0C+88MLdd999+eWX90UbAYD9nEnsAKCbioqKRo0addlllz3xxBMDBw7MPXnHHXccUJenTZ8+/eyzzz777LOPP/74vm4LAOznnIEHgJ4aOXLktddee/XVV4cQamtrV65cOWHChL5u1F5yyy239HUTAOBA4Qw8APSCk046qevxypUr+7AlAMD+yhl4AOgFY8aM6Xq8ffv2XQtaWlpefPHFNWvW1NfXDx48eOzYsSeccEJFRUX+xTY1NS1btuzdd9+tra0dNmzYmDFjJk2aNGTIkG63M5vNvvHGG4sXL968efOQIUPGjBkzZcqUmpqaAl/+zjvvLFiwoLGxcebMmYXPt9+9be/hSgFg/yPAA0AvWL16ddfjnUJmXV3dD37wg5///OcdHR07Pl9ZWTlz5swrr7zyffNzQ0PDnXfeeccddzQ2Nu74fHl5+axZs6644oqhQ4fmnrnxxhv/9V//tatgyZIlBx98cAjhqKOOmjt3btfz6XR6zpw5P/jBD9avX7/jAvv163fBBRf87d/+be5VO/rGN75xzz33hBAWL15cVVV13XXXzZ49O3eF/3nnnZfbzK6au+6664wzzthpCd3Y9kJWCgAHJkPoAaAXPP/8812Px40b1/V4+fLlZ5xxxr333rtTgg0htLW13X777WedddaO4T9n7dq1n/70p3/wgx/slN5DCB0dHXfcccc555yzefPmwpvX3t7+pS996aqrrtopvYcQWltbZ8+efdZZZ7322msf9PJsNnvVVVfdd999uzU/X/e2vYcrBYD9mDPwANBTGzdu/N73vpd7PHr06EmTJuUeNzY2XnrppbW1tSGE4uLis88+e9q0aYcffvjSpUtfeumlxx57LJvNrlq1aubMmY8//viOQ8r/8R//cc2aNSGEioqKCy+88OSTTx4+fPimTZvmz5//4IMPZjKZ1atX33TTTd///vdDCGecccahhx7a3t5+3XXXhRBGjBjx1a9+NYQwaNCgrgVeddVVjz/+eO7x9OnTTzvttMMPP7y2tvbVV1/9xS9+kUqltmzZcsEFF8ybN2/s2LG7buCvfvWrOXPm5NozZsyYsWPHVlVV5f8/6fa292SlALB/E+ABoJuy2eymTZvmzp174403dl33/uUvf7moqCj3+Oabb167dm0Iobq6+mc/+9m0adNyz59++umXX375M888M2vWrLa2tqVLl952221XXnll7q8rV6589tlnQwhlZWVz5sz58Ic/3LXG8847b+rUqddee20I4cknn8w9OWXKlClTpjQ3N+cC/ODBgz/3uc/t2M65c+c++OCDIYR+/fr95Cc/+fjHP971pz//8z//4he/+OUvf3n58uWtra3XXXfdfffd19X+LjfccENlZeX1119/8cUXl5WVFfKf071t7+FKAWD/Zgg9ACT71re+dfwuJk2aNHXq1Kuvvnrr1q25so9+9KOzZs3KPW5qanrggQdyj6+55pquBNvl1FNP/cpXvpJ7fO+996ZSqdzjxYsX5x5MmzZtx/Sec8kll5SXl4cQ1q9f37Xe/G677bbcg3/+53/eMb3nTJ48+fbbb88l5Pnz5y9btmzXJbS3t//4xz/+/Oc/X2CQ7va292SlALDfE+ABIFlDQ8OGXTQ3N+9YM3369Lvvvru09L9Gtz377LNNTU0hhBEjRlxyySXvu9hZs2ZVV1eHEDZt2rRw4cLck5WVlbkHzc3Nu17+XV5enptGfvHixQMHDkxseW1t7YIFC0IIY8eOvfDCC9+3ZvLkyX/2Z3+We/ziiy/uWjB16tTp06cnrqtLt7e9JysFgP2eAA8A3VdaWjpy5Mhzzjln9uzZd///7d1pgBTVvTfg07MyC4ysgoAKyBKXgGuIG4maKGrUJGJU1KBR48KNudfESDY1MRq9iZrkatTgco0aoyAa9bovmCiuuAsqiA6CoGwzw+zT3e+Hfm+/8w7Q3cwMMxQ8z6ei6t/V5zB9uvvXVXXqlltaz5E+d+7c1MLEiRM3dMu0Xr16HXTQQanldIgdOXJkauGNN9745S9/ue48dj179uzVq1evXr3y8/OztvCll15KLRxwwAHrnhuftueee6afdN2tX/rSl7I+UWvt7ntHnhQAtniugQeA7K6++urjjjtuox6SmoUuhLDeaeHS0jeQ//jjj9NrTjzxxDvvvDOEcPPNN991110HHnjgAQcc8KUvfWn06NF5eRv34/uHH36YWrj99ttvv/32rPXV1dXrrhw4cOBGPWm7+96RJwWALZ4ADwCbRDoJDxkyJENZemtVVVV65SWXXFJYWJi6g1pdXd0jjzySmkO+V69eBx988MSJEw855JANHdluY/Xq1RvV7NSp721su+22G7WTjvS93U8KAFs8AR4AulN6hrbWE7mVlpZedtllJ5988owZMx599NFFixal1ldXV8+aNWvWrFk77rjjlVdeud9++2Xdf3q3EyZMSJ8nn8F2222XoZGda71939RPCgDRJcADwCbRq1ev1ELqbmobUllZmVpofdv2lC984Qu/+MUvfv7zny9atOjFF198+eWXn3766c8++yyE8NFHH02ePPmRRx4ZM2ZM5makdztq1Kjzzz+/HR1ph473HQBYl0nsAGCTSJ8fno6p65Xeut5D3yGEWCw2fPjwE0444aqrrnr55ZdvvPHG4cOHhxCam5uvvvrqrM0YPHhwamHBggW5N76DOqvvAEBrAjwAbBJ77LFHauHhhx9ubGxcb01NTc2TTz6ZWk7fLP3mm2/+1a9+9atf/Wr+/Plt6gsKCo444ogrr7wy9c/0HeMzSN9J/rXXXlt3Qvu066677rTTTjvttNPeeuutrPvMqt19BwAyEOABYJPYf//9y8rKQgjLly+/++6711tz0003peZ769u3bzr0vvHGGzfccMMNN9wwc+bM9T4qPX3dei8db3Pr+FGjRg0bNiyEsGbNmj/+8Y/r3eHy5cuvvPLKRx999Pnnn0/fxK4j2t13ACADAR4ANomePXt+5zvfSS3/5je/WfdW53fdddc111yTWv7ud7+bjuW77rprumDd+6u1tLRcd911bSpb+/jjj1sf9M7LyzvzzDNTyzfeeONdd93VJuHX1NScdtppzc3NIYSjjz66R48eG9fP9Wl33wGADExiBwCbygUXXPDII48sXbq0pqbm6KOP/sY3vrH33nsPGzbs/ffff/755x977LFU2ejRo88999z0o772ta9deumlLS0tq1atOuqoo0488cRx48ZVVFTU1NQsWLDg7rvvfv/991OVp512WvpRxcXFhYWFzc3NjY2Nhx9++NixYysqKi666KIQwuTJk++///4XXnihpaXl/PPPv//++w866KBRo0Y1NDS8/fbbt91224oVK0IIO+6444UXXti9fQcAMhDgAWBT6dmz5x133HHCCScsW7YsHo/fd9999913X5ua4cOH//d//3fr49477rjjz372s0suuSSEsGLFig2d9/6LX/xi/Pjx6X8WFBRMmDDhiSeeCCHMnz9//vz5O++8c2pTfn7+X/7yl5NPPvn1118PITz77LPPPvtsm7317dv3r3/9a+/evTva5//Vvr4DABk4hR4ANqFRo0Y98sgjJ5100rp3NS8pKTn77LMfeuihoUOHttl05plnpmebbyMWix1xxBEPPfTQWWed1WbTNddcc9JJJw0aNKiwsHDbbbcdNWpUelOfPn1mzJjxk5/8JH2Dt7Ti4uKpU6f+61//Wu/TdUT7+g4AbEiszYVwAMCmUFtb+8ILL1RWVtbU1FRUVOy4447jx4/PfO13MplcsGDB4sWLly5dunr16oEDBw4ZMmTEiBEDBgxodzNaWlpefvnlhQsXrlq1auDAgSNGjBg1alTPnj3bvcNctKPvAMC6BHgAAACIAKfQAwAAQAQI8AAAABABAjwAAABEgAAPAAAAESDAAwAAQAQI8AAAABABAjwAAABEgAAPAAAAESDAAwAAQAQI8AAAABABAjwAAABEgAAPAAAAESDAAwAAQAQI8AAAABABAjwAAABEQEF3NwDIye4/uyeeSOZS+e29h1/0DELe0wAAIABJREFUrb02dXsAAIAuJsBDNLxZubJfz8I+pYWZyxatrPtk1YCuaRIAANCVBHjoTp+uqbto5su5VCaTYXi/kl23K89c9llNU2e0CwAA2OwI8NCdVtc2/uXpd3v2KCjMj2WuTIaczp8HAAC2VAI8dL8DRm6zXUVx5prp/1rSNY0BAAA2T2ahBwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACCrq7AUBnSiTCmrqm+UvXZK0sKcrfoV/PLmgSAADQKQR42KLUNLbMeGnhjJcWZq0cv9O2cy7+Vhc0CQAA6BQCPGxphvYp3nW7LIfW31hc0zWNAQAAOosAD1ua0sL8wdsUZ655f3lt1zQGAADoLCaxAwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAPeBh02iOZ5Y29Cctay6vqkLGgMAAGwBBHjYJGa9sug7f3qsu1sBAABsOQR42IT2G7FNYX6mC1VW1ja9tWRtl7UHAACILgEeNqEd+5WUFGYK8EWr8gR4AAAgFyaxAwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIgILubgDQDeKJ0NAcX7C8KmtlXiw2fECvLmgSAACQmQAPW6MVtU0frawfef6dWSvLexTWTD+9C5oEAABkJsDDVmqb0oLxwyoy13z4ef3S6uauaQ8AAJCZAA9bqaL8vCG9e2SuWbm2WYAHAIDNhEnsAAAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIKursBwOZrZW1zfVPLfpfMyqV45g8PHVhRuqmbBAAAWy0BHtigpngymQzL11RlLqttSiyramxoindNqwAAYOskwAOZ5OXFvjq6T+aaylUNy6oau6Y9AACw1XINPAAAAESAAA8AAAARIMADAABABAjwAAAAEAECPAAAAESAAA8AAAARIMADAABABAjwAAAAEAECPAAAAESAAA8AAAARIMADAABABAjwAAAAEAECPAAAAESAAA8AAAARUNDdDYCIiSeS8UQya1lLPHsNAABA7gR42DiX3Pvyr+97tbtbAQAAbHUEeNhohfmxLw2ryFyzaEXDkjUNXdMeAABgayDAw0bLz8sbM7Asc82a+pYla7qmOQAAwFbBJHYAAAAQAQI8AAAARIAADwAAABEgwAMAAEAECPAAAAAQAQI8AAAARIAADwAAABEgwAMAAEAECPAAAAAQAQI8AAAARIAADwAAABEgwAMAAEAECPAAAAAQAQI8AAAAREBBdzcANhevf7xieVV91rKFy6u7oDEAAABtCPDwf11y7yv3vbool8oehfmbujEAAABtCPDw/wzoVTRhZO/MNc+8t6qmMdE17QEAAEgT4OH/KYjFKkqyDIr8vFjXNAYAAKA1k9gBAABABAjwAAAAEAECPAAAAESAAA8AAAARYBI7oKNW1TaHEPb91ayCHGb4u+XMrx68y5BN3ygAANjSCPBAR8UTIYRQUZwsys8U4JviifnL6uqb4l3ULAAA2LII8EDnGDukV88e+RkKahri85fVdVl7AABgC+MaeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACCjo7gYAW4v65kQI4Yzpz5QWZ3/nueDI3b9/0M6bvlEAABAZAjzQRRKJZAihuCBZWpDIXPnup2tX1zZ2SaMAACAyBHigS43etnT7Pj0y18xfXtc1jQEAgAhxDTwAAABEgAAPAAAAESDAAwAAQAQI8AAAABABAjwAAABEgAAPAAAAESDAAwAAQAQI8AAAABABAjwAAABEgAAPAAAAESDAAwAAQAQI8AAAABABAjwAAABEgAAPAAAAESDAAwAAQAQI8AAAABABAjwAAABEQEF3NwA2uf1/NevDz6qzlq2ubexTakQAAACbKXGFLd/yqvrmlubBvXtkLltRneia9gAAALSDAM9WYdteRXvv0CtzzQfL6rqmMQAAAO3gGngAAACIAAEeAAAAIsAp9MBmJx5P3jx7/tPvLslaedDOg3/yjd27oEkAANDtBHhgs5MMyc+r1zY2NWQuW17d1K9nlrkJAQBgiyHAA5ujkf1Lxw7tmbnmH2983jWNAQCAzYFr4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIgILubgC0U3M8cdTvH86lcunq2mH9ijd1ewAAADYpAZ6oSiSSj7xZ2aessKw4y4kk9U0tIQjwAABAtAnwRNvOg8rGDCzLXHPzc0u7pjEAAACbjmvgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACBDgAQAAIAIEeAAAAIgAAR4AAAAioKC7GwBtLVhe9e+3P5e1LJFIdkFj2JytbYzPnrf0G7//n6yVw/r3+uMp+3dBkwAAYNMR4NnsrKlrevC1jwf0LCrMz3SGSDIpwG/tmuOJ1bX1ry1anrlsTX1z5bbbdE2TAABg0xHg2UyNH14xoGdRhoKmlsRtL3zaZe1h8zSooviro/tkrvnnB6u7pjEAALBJuQYeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACCrq7AQCbVlV9S0PN2hOvfSJrZV5euP3sQ7qgSQAA0A4CPLCFq29O1DbGn3zn4yxlTfHaxoQADwDAZkuAB7Z8vUoKjvpi/8w1by9d+9Ki6q5pDwAAtINr4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgwiR1dZ1lV3bwlq7OWvbesqgsaAwAAEC0CPF3nkTcqT73x6e5uBQAAQCQJ8HS1Y8YNyM946UblqsaXP3IQHgAA4P8jwNPVKkoKCvNjGQpW1rZ0WWMAAACiwiR2AAAAEAECPAAAAESAU+gBQgihoTmRDOHuFxfmUnzYF4f2Kina1E0CAIDWBHiAEEJYU9eSTCa/86fHcil+54rjdx4swAMA0KUEeID/FQuT9xmUuWR5VeMT81d1TXMAAKA1AR7g/ykpzDIzSFG2AgAA2ER8EwUAAIAIEOABAAAgAgR4AAAAiAABHgAAACJAgAcAAIAIEOABAAAgAgR4AAAAiAABHgAAACKgoLsbwJbgsbcWP/f+sqxlb3y8ogsaAwAAsEUS4OkEj721+Kr/eaO4MMsJHc3xRNe0BwAAYMsjwNM5yooLjt9728w1//xg9XvL67qmPQAAAFsY18ADAABABDgCD7ARkslkCKG6vml1bWPW4vIehYX5ficFAKBzCPBk8q/3Pl1Wlf2k9/eXremCxsDmYFVdSwjhyxffm0vx3//t68d9acQmbhEAAFsLAZ5Mfn3fq4+9tTiXyvJiryW2Ivvs2Ku0KNNrvjmeeG6hH7YAAOhMQhdZDN6m+Cuje2euefjtlU0tya5pD2wOtu9Tsk1ppvfP+mYBHgCATibAk0V+XqykMD9zTV6sa9oCAACw9TK7EgAAAESAAA8AAAARIMADAABABAjwAAAAEAECPAAAAESAAA8AAAARIMADAABABLgP/FZq2L/fvmRVbdaylkRyaO/iLmgPbGEamxMhhBOvffyk657IWvzzY/b85Tf32vSNAgAg2gT4LUpDc/yKB17LpXLl2sb+PYuyhvNXP67ujHbBVicZQghheL+SPmWFmSvnVla3xBNd0CQAAKJOgN+i1De1XHzvy4X5sbxs10Y0NieH9y3fbXB55rLXF9d0WuNg6zO0T4/h/Uoy17zxydpcdhVPJBPJZC6VsRAK8l0eBQCwBRLgt0D7jei904AsmeGm55Z2TWOAzBLJsHB59aNvLs5cduFdc16vXJnLDnfatuKD35+YuWbJ6tq3F6/KsYVfHrltr5KiHIsBANh0OifAr21ovvT+V3N6vrxYU0v2k0UrSoqr6huzlvXt2WNlTUP2svIeK9dmL+tVWlRd15S1rDAv1pzI6ThYSVF+fVM8a9k2ZcVrajunsw3N8RDChyvqVtVm7Ujy06qmlxZVZS6KJ5Jr6puzltU2xlsSIWvZ5zXNIYRXP67Oi2UqW13fEkJ4d2ntR0X1GcpSf4SPVtZX17dkft5kMrm8Ontnm+OJ6oaWrGU1DS0t8WTWsuVVTSGE1yqrCzL2trohHkKYv6z2k1XZX6KVKxvqGrO8ohLJ8Pna7H+ypuZEIoc/WVV9SyKRyFq2rKY5hPDGJ9VFGQ/81jbFQwjvf1a3rCr7C37xmsbGbO8V8URYmUNnG5oTsVgsa9nq2uaQzOFlXNscQnhzSU2PgkydbWhJhBAWfla3oibLYGxqid8554M753yQuSyEkBeL5WcePCHEk4nVdY0X/G1O5rI3F6/M+pNB2sn7jxpYUZq5pk9Zj1W12V/DZcWFtY3NuTxpXl4skcM7bXmPwrUN2XeYY/P69ixZWZPpbSclxzftHD8CQgiF+XnNOVxGkeOHVI4feTl+gOb4cVxUkJfLh3sIobgwv7E5+39LRWlRVed1tk958aq12XvRq6Souj77kxbk5+V42UtJUUF9U5ZPqBBC7/Li1Tk0L8c/WY6dLe9RsLYhe9tisVgyt3N/ynoU1uYyGMt7rMrp9ZnTYMzxv66ksKC+OXtnQwj5ebF4Du88OQ7GnDub0192m9LiNXXZO1tcWNCYW2eLCvKbWnIZjMVVOTxv3/Lilbm8jHMbsxUlRVU5DMbCgvzmHLoQQuhRVNCQw2DM9Tt5ecnKtdlfnzkPxpw+yPLyQiK36+3Kigpqc+hsjs3LcTDm+GrPsW2h078G5NjZ3F6fOb5OcnzVhRB+dew+PQrzc6lMyfV9ObNPPlu9++Qf5VJZXJBfl0NPBlaULquqy1q2fd/yypXZzz7NsWxAr5LPqrO/QHN8vwsh9OpRVN2Q/d1nu23Klq7JPp/c9n17Vq7MckJ7MhkamlpKirP/LlNT31xYkJf1tVLb2BwLsdJsO2xojjfHEz17ZLnWt6klUd/UUlFSFDJmkHgisbahpbxHYZaskgxV9U0lRQVFGXNUCKGmobkgP68kW2frGluSIVlWnKUXjc3xppZ4z2wHJJvjibrGll4lRbGMnUgkkjUNzWU9CgqyXfZQVddUUpRfVJClF2sbmvPz8kqKspTVN7bEk8nybH+yxuZ4Y3O8V2mWzrbEE7U5dDaZTFbXN5cVF2Q9wbu6rqm4ML84259sbUNzfiyW9QVf3xSPJxJZO9vUEq9vildk7WwiUdvQ0rNHYV7G12cyGarrm0qLCwqzdbamvrmoIC9rZ2sbWmKxkHUwhhAamuNZh3ZTSyIvltOZ9o3N8YL8vKw/HAzuXbZkdfb3sd6lxatz+CIYQsiLxXK5ZCDHz9qhvcsXr87lwyL722zI+U07x4+AkPPHSo4fUp37yZjjx3FpYUFdbpkhx29vA7cpXbYml68BOf3JhvYpX7wqe2f79yz5PIfvqUX5eU25BfgcfxHYbpvSpTl0doe+5R/n8Ccb0rv8kxxe7Tn+qhX73xk9cthh8aocvtHm2Lwd+vb8OIe/bI7vPDn+HhRCKMzLa84hJOX4Uhnat3xxToMxp5fxoG1KP83hdVJeXLC2MafBmOPvGtv2Klneme88OXU2x7e7HoX5DTn8IBhC6NmjqCan7+Q5DcYcO5vjO0+/nj1W5PALTn4sFs8ttW1TWrQmhxf84N7lS3L6ZMypsznuLcffoULOv6bl+L+X498ix87m+DUgx1ddCOGDWX/q26ssl8r/K9kZHn/88dLSLMdngKgoLy8vK9uY9xFgM2ZEw5akrKysvDzLHEZAVJSVlT377LMbFb075wj8gQceWF1dXVNjwjPYElRUVCSTyepq9yCALUGvXr1CCEY0bBl69eoVi8WqqrJc8AVEQq9evfr16/f444/n/pDOuQY+Fovttdde06dP75S9Ad3r0EMP7d+//+23397dDQE6wVFHHVVcXHzPPfd0d0OATnDcccfV19fPnTu3uxsCdIJTTjll2bJlG/UQtxoCAACACBDgAQAAIAIEeAAAAIgAAR4AAAAiQIAHAACACOicWej33HPPIUOGdMqugG63xx57VFRUdHcrgM4xbty4goLO+bgHut1uu+3W1NTU3a0AOscuu+wyaNCgjXpI59wHHgAAANiknEIPAAAAESDAAwAAQAQI8AAAABABAjwAAABEgAAPAAAAEdCh+8okk8mnnnrq0UcfraysTCQSQ4YMOfjggydOnJiX53cB6E5dMzbr6uo++OCDDW0dNWpUSUlJJz4d0FpHhrnBC93LxzSQNnfu3Orq6q985Ss51rf/NnLJZPKqq66aPXt2m/V77rnnz3/+8/z8/PbtFuigjo/NlpaWBx544NVXX126dOnatWuHDh06YsSIY489dsCAAa3LXnrppUsvvXRDO7nmmmuGDx/evi4AmXVwmBu80I06Mn6nTp1aWVmZef8//elPx48fH4x0iIJ4PD5lypTi4uLp06fn+JD2H4F/6KGHUm89xxxzzMEHH1xQUPDMM8/8/e9/f/XVV//+97+feOKJ7d4z0BEdHJuffvrppZdeunjx4vSaDz744IMPPnjqqafOOOOMQw89NL1+yZIlm6gLQGYdHOYGL3SjLvsKbaTD5u/pp5+uqqpqc5Ass3YG+KamprvvvjuE8PWvf/3UU0+NxWIhhMmTJzc3N997773/+Mc/jjnmmNLS0vbtHGi3Do7NZDL5n//5n4sXL+7Ro8eUKVP22muv0tLSDz744Lbbblu4cOH1118/fPjwkSNHpoqXLl0aQvjWt741ZcqUrugbEELojI9ggxe6SwfH79SpUxsbG9e7KfVhvd12240bNy61xkiHzVlVVdVTTz115513buwD23mlzdtvv71mzZoQwnHHHZd660k59thj8/Ly6urqXnvttfbtGeiIDo7Nd999d8GCBSGE88477/DDDx8wYEB5efnuu+/+29/+dsiQIfF4/I477kgXf/LJJyGE7bffflN1Blifjn8EG7zQXTo4fseMGTN2fcaMGfPkk0/m5+f/+Mc/7tGjR6rYSIfN04svvvjd73735JNPvuWWWzb0k1wG7Qzwb731Vghh++23b3O4v7y8/Atf+EII4c0332zfnoGO6ODY/PDDD0MIgwYN2nfffVuvLy4uPuqoo0IIH3zwQXrijNRP+zvssENndgDIpuMfwQYvdJdN9BX61ltvXbJkyZQpU0aMGJFeaaTD5qmhoSEvL69v3759+/YtKyvb2Ie38xT6lStXhhBGjRq17qZRo0a98847q1atat+egY7o4NhMTY0zYsSI1ocFUgYNGhRCqKmpaW5uLioqqqurW716dSwWa2ho+M1vfrNw4cLa2todd9xx9OjRkyZN6tmzZ6d1Cfj/dXCYG7zQjTbFV+i5c+c+9NBDY8eOTf3UnmKkw2ZrwoQJEyZMSC0/+eSTf/jDHzbq4e0M8KmTf3r16rXuptQ7QqoA6GIdHJtHHnnkgQce2K9fv3U3LVy4MITQr1+/oqKi8L+/6yeTyWnTpqVr5s2bN2/evNmzZ//oRz/abbfdOtQTYAM6OMwNXuhGnf4VuqWl5frrr4/FYqeddlrrH9+NdNhStTPAr169OoRQXl6+7iYBHrpRB8fmhk60+/zzz2fNmhVCOOSQQ1Jr0nPbDho06JRTThkzZkxzc/Obb7556623rl69+sorr/zzn/+83mYAHdTBYW7wQjfq9K/Qjz766LJlyw466KBhw4a1Xm+kw5aqnQG+trY2hFBSUrLuptTK6urqjjQLaJ9NMTbfeeedq6++uqqqaujQoUcffXRqZV1d3fbbb9+7d+8f/ehHFRUVqZUDBw7cbbfdpk6dWlVV9be//e2MM85of0+ADejgMDd4oRt17sd0fX39XXfdVVBQsO7N54x02FK1M8CXl5evWLGivr5+3U11dXUhhHZcjg90XOeOzRUrVtx2223PPPNMCGGHHXa4+OKL0w+fOHHixIkT133IoEGDDjvssAceeOD1119vR/uBrDo4zA1e6Ead+zF93333VVVVHXnkkeveRNpIhy1VO2eh32abbUIIa9euXXdTamXv3r070iygfTprbMbj8Xvvvfess8565plnioqKTjjhhKuvvrpv3765PHbnnXcOISxdurSlpWUjmg7kZtN9BBu8sKl14vhtbm5+6KGHQgiHHnroRrXBSIdIa+cR+NS7T01NzbqbBHjoRp0yNhcvXnz11VcvWLAgFot97WtfO+GEE9Y7rd2G9O/fP4QQj8fr6+vNcwudbtN9BBu8sKl14vh9/vnnq6urR40atbE3ijPSIdLaGeBTB+IWLFiw7qbUVNU5HqkDOlfHx+aSJUumTZtWXV09YMCACy64YL23uonH43Pnzg0h7LLLLqWlpW22pmbo6dWrl68FsCl0ZJgbvNC9OvEr9MMPPxxaTS7bmpEOW7B2nkKfuvPEokWL2tyssqGh4Z133kkXAF2sg2OzsbHxl7/8ZXV19fjx4//whz+sN72HEPLy8m666aZf//rXTz755Lpb33vvvRDC9ttv3+5eABl0ZJgbvNC9OusrdGVl5bvvvltQUHDAAQesu9VIhy1YOwP8rrvumprQ8oEHHmi9fvbs2S0tLaWlpXvssUcntA7YSB0cm7Nnz/7888+HDBny4x//OMM8OrFYbL/99gshzJo1q815gCtWrHjwwQdDCAcffHBHOgJsSEeGucEL3auzvkLPmTMnhDBy5Mj1flgb6bAFy7/44ovb87D8/KKioldffXXevHm9evUaMmRIc3Pzc889d+ONN7a0tHznO98ZN25cZzcVyG6jxuatt976j3/847XXXhs/fnxqzQ033LBixYrdd9+9Z8+ey9fn888/33bbbUMIgwcPfvrpp1evXv3qq68OGDCgtLR01apVL7744hVXXFFbWztmzJgzzzwzFot1z/8CbNE6OMwNXuhGHRy/aX/9619XrFgxYcKEDX3lNtIhEhYtWvTiiy+WlZUdddRROT4klkwm2/dkyWTyqquumj17dgghPz8/hBCPx0MI48ePv/DCC/Py2nlsH+ig3MfmT37yk3nz5vXt2/eWW25JrZk8efJ6Z9ZJ69Gjx913351afuONN3796183NTW1qRk8ePBFF100cODAzusT8P/pyDAPBi90qw6O3xBCbW3t5MmTE4nEL3/5y7322mtDT2Skw+bvySef/MMf/jBgwIDp06fn+JB2TmIXQojFYv/xH/8xduzYRx55pLKyMoQwbNiwr3/964ceeqjf86AbtXts1tXVZU7vbYwdO/bGG2+855573nnnnWXLlpWVlQ0fPny33XabOHFicXFxR7sBbFgHP4INXuhGHf8K/frrrycSiVgsNmbMmAxlRjpskdp/BB4AAADoMk50BwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgQ4AEAACACBHgAAACIAAEeAAAAIkCABwAAgAgo6O4GAEBH/fa3v502bdqGtvbt23f06NGjR48+9dRTDzjggK5sWJdpamp66qmnUsv77LNPnz59urc9bTQ0NJSUlGSu2W677YYNGzZixIhjjz32iCOOyMvrtGMMa9euXbBgwfvvv19TUzNo0KDx48dvbv8/AJCjWDKZ7O42AECHZA7wrU2aNOm//uu/BgwYsKmb1MVWrFjRv3//1PLTTz/9la98pVub01YuAb61Aw88cMaMGeketdHS0rLDDjssXbp09OjR8+bNi8ViG9rPc88997Of/Wz27NmtV8ZisSOOOOLSSy8dO3Zs7k0CgM2BI/AAbDn23nvvffbZp/Wa+vr6xYsXv/32259++mkI4Z577lnw0mCAAAARbElEQVS0aNHzzz9fWFjYTW3cqhUUFHz/+99fd/3atWs//vjjN998c9WqVSGEZ5999uijj/7Xv/613uPwDzzwwNKlS0MI77333tNPP33QQQet97luu+220047LR6Pt1mfTCYffPDBxx577Oabb548eXJHuwQAXUiAB2DLcfjhh1988cXrrm9ubr7lllvOOeeceDz+yiuv3H777aeeemqXt45QXFz8X//1Xxvaunbt2l//+tdXXnllCGHOnDkzZ86cNGnSumXXX399CGHAgAGfffbZddddt94A/9Zbb51xxhmp9H7QQQf9/Oc/33XXXePx+Ny5cy+99NI5c+Y0NTVNmTJl+PDhX/7ylzutewCwiZnEDoAtX2Fh4Zlnnpk+zf7pp5/u3vZ0un79+iX/1+Z2/nzuysvLf/vb3x5yyCGpf95///3r1ixYsOCxxx7Lz8+fOXNmLBa77777lixZsm7Zb37zm6amphDC5MmTH3/88a9+9av9+/cfOHDg4Ycf/q9//WvKlCkhhJaWlv/4j//YhP0BgM4mwAOwtTjmmGNSC3Pnzu3elrAhsVgs/Wf68MMP1y248cYbQwhHHXXU/vvvP3HixHg8Pn369DY1jY2NqfDfo0ePK664os15+Hl5eX/6059S8yC88MILH3300SboBwBsEgI8AFuLzHPXVVVV/f73v//KV74ycuTIkpKSfv36jR079tvf/vbDDz+cSCTSZXPnzo3FYrFY7MQTT9zQriZMmJCq+fjjj1uv/+c//3n66afvtNNOZWVlffr02XPPPadOnfruu+9uaD/JZPKxxx6bNGnSuHHjKioq+vbtu9dee333u99966231i3ef//9Y7HYkCFD2t21Nrs68sgjQwgtLS3Tp08/4IADBgwYUFZWNnbs2O9973sLFy7cUJs7bujQoamFddvW2Nh4yy23hBDOPvvsEMI555wTQrjxxhubm5tbl7322msNDQ0hhP3222/w4MHrPkV5efl+++2XWs7w/w8Am50kAETc5ZdfnvpQu+iiizKUPfroo6myY489ts2me+65p2fPnhv6rDzggAPq6upSlYlEYtiwYSGEnj17NjQ0rPsslZWVqUdNmDAhvbK2tvb444/f0P7PPffc5ubmNvtZs2ZNOmSua9q0aW3qU8WDBw9ud9fa7OqII45YtWrVeq8wLygouPvuuzP8V7dRX1+femBZWVnW4j/96U+p4kmTJrXZdPvtt4cQdtppp3g8nkwmU9PRhxBmzJjRpsupPfzgBz/Y0LOkfgIIIdx///25dwQAupdJ7ADYKrS0tPzqV79KLZ9xxhmtN82fP//EE09MHcXdaaedJk6cOGjQoLVr17799tv/8z//09LS8s9//vOHP/zhDTfcEEKIxWKTJk268sora2pqHn/88dRh6tbuuuuu1MLJJ5+cWojH49/4xjdS92kvLi6eOHHiLrvsUl9f/8orrzz77LMhhGuvvfaTTz6ZNWtW+o5o8Xj8O9/5znPPPRdCqKio+Na3vjV8+PCGhoaXXnrp8ccfDyFcfvnle+2117e+9a3Mvd6orrWRSCQmT5781FNPjRs37hvf+MYXvvCFjz76aPr06R9++GFLS8v3vve9L3/5y+s94N8RyWTygQceSC2v27vU9HVnnXVW6qz4/Pz8s846a9q0aX/+85+//e1vp8vGjRv317/+NYSwxx57bOiJXnvttdTCmDFjOrUHALApdfcvCADQURmOwNfX13/wwQf33HPPnnvumao555xzEolE65qf/vSnqU1Tp05NHdpNe+utt7bZZpsQwrbbbpt+1Msvv5yqnzJlyrqNGTduXAihuLh4zZo1qTVXXHFFqv6AAw5YuHBh6+InnngifY737bffnl6fvkp/7Nixq1atav2Q1DnkIYRDDz209fr1HoHf2K613lXqTntTp05tampq/f+59957p/Z56623rtv99crxCHxNTc2FF16Yqhw/fnzr5001OPUfu2LFivTK5cuXFxUVhRDmz5+fY2OSyWR6FsOddtqppaUl9wcCQPcS4AGIvHSAz6y0tPSqq65aN7B99atfDSGUlJTU19evu/P0gfRly5al1iQSiR133DGE0Lt37zYhM31B9XHHHZdaU1dX169fvxDCkCFDWifPtPTdzkePHp1eee2116b2c8stt7SpTyQSgwYNys/PHzhwYOvgvd4Av7Fda72rEMKee+7ZJvYnk8mHH344tfXf//3f193neqUDfEFBwbnrM2XKlEMOOaRPnz6psoMPPrjNzxbJZPLcc88NIZx88slt1qcmIzjvvPNybMzbb7+d+ouEEP77v/87x0cBwObAKfQAbC0aGhpeffXVBQsWjB49uvX6Cy644Ac/+EFFRUWPHj3WfVRFRUVqIT1TWuos+v/8z/9cvXr1M88887WvfS1d/Le//S21kM7GTz755IoVK0IIP/jBD/r27bvu/vfbb79DDz304Ycffu+99z799NNBgwaFEPLz81NbP/nkkzb1sVhs6dKlOXZ5Y7vWxkUXXdRmCvcQwq677ppaSN2nbaO0tLSkf5vYkLPOOuu6665LX02Qsnbt2tRZ8elr19POOeecO++889Zbb73ssstKS0sz7Lm5ufnaa6+dNm1aaoq7U0899aSTTtrYLgBANxLgAdhy7LnnnnvttVeblYlEorKy8o033li2bNkdd9xx7733zpgx4/DDD08XHHbYYevdW3Nz84svvnjfffetuykV4EMIM2fOTAf4ZDJ55513hhD69+9/6KGHplamrmMPIZSUlDzzzDPrfaL0kec33ngjFeD32Wef1JpLLrlkyZIlp5566t57790m0+aiHV1rLd2M1tb7W0Anuv766z///PM777wzdW58yl133VVdXT127Njx48e3qd93332/+MUvvvnmm3/729++973vrXefyWTywQcf/PGPf/zee++l1px66qk33njjuj9PAMDmTIAHYMtx5JFHXnzxxevd1Nzc/Lvf/e6nP/1pfX390UcfPX/+/BEjRrSp+eSTT+bOnbtgwYIFCxa8//77L7744tq1a9e7t7322muHHXb4+OOPZ82ade2116YOmL/88sup+6sdf/zxqQvIQwiLFy9OLfzbv/1b1vZXV1enFnbfffdp06ZdfvnlLS0t119//fXXXz9ixIgDDzxwv/32+/rXv56+0Vrucu9aWnl5eeYb77VDWVnZep83Ho9XVlY+88wzF1544WeffTZz5swLLrjgmmuuSRecfvrpp59++nr3GYvF3njjjQxPunDhwu9///tPPvlk6p8DBw68/vrrjz766A70AwC6hwAPwFahsLBw2rRpCxcuvOmmm1paWq688sr01OvJZPLuu+++7LLL3nzzzTaPKioq6t279/Lly9usj8Vixx577O9///vPPvvsueeeO/DAA0MIqcPvodX58yGENWvW5N7Iqqqq9PJll1124IEH/uIXv3jllVdCCAsXLly4cGFqBrs999zzvPPOO+mkk7Iek29H19IqKiraccy/ffLz84cNGzZs2LCxY8emphu87bbbfve73xUUdOiLSjweT50zX1dXF0IoLy8///zzzz///Az31QOAzZkzxwDYiqRPsU7PJB9COP/8848//vhUxK2oqPjqV7963nnnXXfddU8++eTnn3++ocukJ02alFqYMWNGCCEej//9738PIYwePbr1afxlZWWphffffz/rzDRt7m932GGHvfzyy5WVlX/+858nTZq03Xbbpda/+uqrp5xyyre//e1kMpm5v+3rWjfaY489JkyYEEJYvXp1+nT39mlsbDzyyCPPO++8urq6vLy8qVOnLly48OKLL5beAYguR+AB2IoMGzYstbBkyZLUwpw5c66++uoQQp8+fW644YZjjjkmx6O+++yzz/bbb19ZWXnvvfdec801zzzzzLJly0IIJ598cusD19tuu21qYd68eSNHjmxHm4cOHXrWWWedddZZyWRy3rx5N99880033bRmzZpZs2bdcccdGUJ4u7vWvUaMGDF79uwQwqpVq9q9k3g8Pnny5EceeSSEsMsuu9xyyy3pu98BQHQ5Ag/AVuSjjz5KLfTu3Tu1MGvWrNTCddddd+yxx64bcSsrK9e7q9RZ9CGEJUuWvPTSS+nz5ydPnty6LD3p2vPPP7+hVt16660XX3zxb37zm0QikVpzxx13XH/99X/5y19aH2OPxWI777zz7373u/RzpWfIW692d617paf060iA/+1vfztz5swQwiGHHDJnzhzpHYAtgwAPwFbk5ptvTi18+ctfTi2sXLkytfCFL3xh3fqqqqonnnhiQ3tLn0V/5513puLigQcemLpFfNqhhx5aUlISQvjjH/+43sC8YMGC008//ZJLLnnllVfSk6LfeuutZ5999plnnvn222+v+5CBAwemFjJPRNeRrnWjeDyeWshwfX5mjY2Nf/rTn0IIgwcPnjFjhnPmAdhiCPAAbBWam5uvuOKKv/zlL6l/pi+GT9/V/Omnn27zkJUrVx5++OGrV69O/XPdtLzPPvukJoS/7rrrUvPPnXLKKW1q+vbtm7qyvb6+/pvf/Ob8+fNbb12yZMlRRx2ViqytZ1nfY489Ugs/+clP2tykvbGx8ZJLLkktZz6w3JGudaP0mQKpSxLaYebMmanwP3Xq1PS97gFgCxCBa+EAIEcPPvjguqkvkUh88sknr7/++qeffppac/rpp++///6p5cMOO2zatGmNjY0//vGPKysrDzrooIqKisrKyhdeeOHmm2+ura0tLCxMReif/exn55xzzr777ps6oh5CyMvLO/bYY6+++upUAi8uLk6dVN/GZZdd9sQTT7z77rtz584dN27c4YcfvuuuuxYXF7/77rszZ85sbGwMIfzwhz884ogj0g85+eSTf/e73yUSiYcffnjkyJHf/OY3Bw0aFI/HP/roo/vuu++zzz4LIQwdOvS73/1uhv+NjnStG/Xr1y+1kJ6nYGPNmTMntXDHHXekLoPPYPr06TvttFP7nggAulrWGXEBYDN3+eWX5/7Bd8YZZzQ2NrZ++PTp09Pnrrdx6qmnvvDCC6nbvKcsWrSo9WNbX4V+3HHHbaiFn3322QEHHLDep8jPz//BD34Qj8fbPOS2224rLy/fUC+++MUvzps3r3X9fvvtF0IYPHhwx7u23l2lff7556n6c889N/PfJa2+vj71kLKysqzFqVn9Qwh9+/Zdvnx5jk/R2uGHH76h/7d1vfbaa+14CgDoFk6hB2DL16NHj+HDh0+ZMmXOnDk33nhjUVFR663f+9733n777VNOOWW33XYrKyvr2bPnrrvuet5557355ps333zzl770pRkzZowePbq0tPSLX/xijx49Wj92/PjxgwcPTi23vv17G/379589e/Z999133HHHDR06tLi4uH///vvuu+/ZZ589f/78P/zhD+vG7JNPPvnjjz+++OKLJ0yYMHz48OLi4n79+u2xxx7HHXfcI4888vrrr48ZMyZrxzvSte5yyCGHpM6iX7lyZevLCnL34YcfdnajAGCzEEtmu4UsALAhiURip512WrRoUf/+/ZcsWVJYWNjdLQIAtliOwANA+/3zn/9ctGhRCOH444+X3gGATUqAB4D2S9+XLsP58wAAncIp9ADQTi+//PL48eMTicQuu+zy1ltvxWKx7m4RALAlcxs5ANg4r7zyyuWXX97U1PTUU08lEokQwi9+8QvpHQDY1AR4ANg4a9asuffee9P/POGEEyZNmtSN7QEAthKugQeAjTNo0KB99923rKxs5MiRV1555a233rqhe60DAHQi18ADAABABDhiAAAAABEgwAMAAEAECPAAAAAQAQI8AAAARIAADwAAABEgwAMAAEAECPAAAAAQAQI8AAAARIAADwAAABEgwAMAAEAECPAAAAAQAQI8AAAARIAADwAAABEgwAMAAEAECPAAAAAQAf8H9IpChv7m2b0AAAAASUVORK5CYII=)
Plot posterior marginals of coefficients
p3 <- mcmc_areas(as.matrix(fit3), pars=vars(-'(Intercept)',-sigma),
prob_outer=0.95, area_method = "scaled height") +
xlim(c(-1.2,0.8))
p3 <- p3 + scale_y_discrete(limits = rev(levels(p3$data$parameter)))
p3
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)
The above figure shows that the regularized horseshoe prior has the benefit of shrinking the posterior for many regression coefficients more tightly towards 0, making it easier to see the most relevant predictors. Failures, school support, going out, and the number of absences appear to be the most relevant predictors.
Subset of covariates
Fit a regression model with subset of covariates and default weak prior on coefficients
fit4 <- stan_glm(G3mat ~ failures + schoolsup + goout + absences,
data = datastd_G3mat, seed = SEED, refresh=0)
When we compare Bayesian \(R^2\) and LOO \(R^2\), we see the difference is small and there is less overfit than when using all predictors with wide prior. LOO \(R^2\) is just slightly smaller than for models with all predictors and better priors. The prediction performance can not improved much by adding more predictors. Note that by observing more students it might be possible to learn regression coefficients for other predictors with sufficient small uncertainty so that predictions for new students could be improved.
Compare Bayesian \(R^2\) and LOO \(R^2\)
round(median(loo_R2(fit4)), 2)
[1] 0.17
round(median(bayes_R2(fit4)), 2)
[1] 0.2
Bayesian \(R^2\) distribution
ggplot()+geom_histogram(aes(x=bayes_R2(fit4)), breaks=seq(0,1,length.out=100)) +
xlim(c(0,1)) +
scale_y_continuous(breaks=NULL) +
labs(x="Bayesian R^2",y="")
![](data:image/png;base64,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)
Compute LOO log score
(loo4 <- loo(fit4))
Computed from 4000 by 343 log-likelihood matrix
Estimate SE
elpd_loo -863.1 12.4
p_loo 5.2 0.6
looic 1726.2 24.9
------
Monte Carlo SE of elpd_loo is 0.0.
All Pareto k estimates are good (k < 0.5).
See help('pareto-k-diagnostic') for details.
Compare models
loo_compare(loo3,loo4)
elpd_diff se_diff
fit3 0.0 0.0
fit4 -2.9 4.2
loo_compare(loo2,loo4)
elpd_diff se_diff
fit2 0.0 0.0
fit4 -3.2 5.5
loo_compare(loo1,loo4)
elpd_diff se_diff
fit4 0.0 0.0
fit1 -1.6 6.3
Plot posterior marginals of coefficients
p4 <- mcmc_areas(as.matrix(fit4), pars=vars(-'(Intercept)',-sigma),
prob_outer=0.99, area_method = "scaled height") +
xlim(c(-1.3,0.1))
p4 <- p4 + scale_y_discrete(limits = rev(levels(p4$data$parameter)))
p4
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)
---
title: "Regression and Other Stories: Student"
author: "Andrew Gelman, Jennifer Hill, Aki Vehtari"
date: "`r format(Sys.Date())`"
output:
  html_document:
    theme: readable
    toc: true
    toc_depth: 2
    toc_float: true
    code_download: true
---
Models for regression coefficients. See Chapter 12 in
Regression and Other Stories.

-------------


```{r setup, include=FALSE}
knitr::opts_chunk$set(message=FALSE, error=FALSE, warning=FALSE, comment=NA)
# switch this to TRUE to save figures in separate files
savefigs <- FALSE
```

#### Load packages

```{r }
library("rprojroot")
root<-has_file(".ROS-Examples-root")$make_fix_file()
library("rstanarm")
library("rstantools")
library("loo")
library("ggplot2")
library("bayesplot")
theme_set(bayesplot::theme_default(base_family = "sans"))
```

Set random seed for reproducibility

```{r }
SEED <- 2132

```
```{r eval=FALSE, include=FALSE}
# grayscale figures for the book
if (savefigs) color_scheme_set(scheme = "gray")
```

Here we consider regression with more than handful of
predictors. We demonstrate the usefulness of standardization of
predictors and models for regression coefficients.

We demonstrate with data from Portuguese students and their final
period math grade.  We predict the third period math grade given
student's school, student's sex, student's age, student's home
address type, family size, parent's cohabitation status, mother's
education, father's education, home to school travel time, weekly
study tie, number of past class failures, extra educational
support, extra paid classes within the course subject,
extra-curricular activities, attended nursery school, wants to take
higher education, Internet access at home, with a romantic
relationship, quality of family relationships, free time after
school, going out with friends, workday alcohol consumption,
weekend alcohol consumption, current health status, and number of
school absences.

#### Load data

```{r }
# Use the merged data with students having both math and Portuguese language grades
data <- read.csv(root("Student/data","student-merged.csv"))
head(data)
grades <- c("G1mat","G2mat","G3mat","G1por","G2por","G3por")
predictors <- c("school","sex","age","address","famsize","Pstatus","Medu","Fedu","traveltime","studytime","failures","schoolsup","famsup","paid","activities", "nursery", "higher", "internet", "romantic","famrel","freetime","goout","Dalc","Walc","health","absences")
p <- length(predictors)
```

#### Data for predicting the final math grade

Pick columns to make models for third period mathematics grade G3mat and
select only students with non-zero math grade
(use G3por to make a model for third grade Portuguese language grade).

```{r }
data_G3mat <- subset(data, subset=G3mat>0, select=c("G3mat",predictors))
n <- nrow(data_G3mat)
```

## Default weak prior on original coefficients

#### Fit a regression model with default weak priors

Dot (.) in the formula means all other columns execpt what is
already on the left of ~.

```{r }
fit0 <- stan_glm(G3mat ~ ., data = data_G3mat, seed = SEED, refresh=0)
```

#### Plot posterior marginals of coefficients

```{r }
p0 <- mcmc_areas(as.matrix(fit0), pars=vars(-'(Intercept)',-sigma),
                 prob_outer=0.95, area_method = "scaled height") +
  xlim(c(-3.2,2.4))
p0 <- p0 + scale_y_discrete(limits = rev(levels(p0$data$parameter)))
p0
```
```{r eval=FALSE, include=FALSE}
if (savefigs)
  ggsave(root("Student/figs","student_fit0_mcmc_areas.pdf"), p0, height=5, width=5, colormodel="gray")
```

The above figure shows that without standardization of predictors,
it looks like there is a different amount of uncertainty on the
relevance of the predictors. For example, it looks like `absences`
has really small relevance and high certainty.

Standardize all predictors for easier comparison of relevances as
discussed in Section 12.1.

```{r }
datastd_G3mat <- data_G3mat
datastd_G3mat[,predictors] <-scale(data_G3mat[,predictors])
```

## Default weak prior on coefficients

#### Fit a regression model with default weak priors

```{r }
fit1 <- stan_glm(G3mat ~ ., data = datastd_G3mat, seed = SEED, refresh=0)
```

#### Plot posterior marginals of coefficients

```{r }
p1 <- mcmc_areas(as.matrix(fit1), pars=vars(-'(Intercept)',-sigma),
                 prob_outer=0.95, area_method = "scaled height") +
  xlim(c(-1.2,0.8))
p1 <- p1 + scale_y_discrete(limits = rev(levels(p1$data$parameter)))
p1
```
```{r eval=FALSE, include=FALSE}
if (savefigs)
  ggsave(root("Student/figs","student_fit1_mcmc_areas.pdf"), p1, height=5, width=5, colormodel="gray")
```

The above figure shows that after all predictors have been
standardized to have equal standard deviation, the uncertainties on
the relevances are similar. For example, it is now easier to see
that `absences` has relatively high relevance compared to other
predictors in the model.

#### Compare Bayesian $R^2$ and LOO $R^2$

```{r }
round(median(bayes_R2(fit1)), 2)
round(median(loo_R2(fit1)), 2)
```

#### Compute LOO log score

```{r }
(loo1 <- loo(fit1))
```

Medians of Bayesian $R^2$ and LOO $R^2$ are quite different, and p_loo
is approximately 26, which indicates that the model is fitting to
all predictors. 

If the predictors have been standardized to have standard deviation
1 and we give the regression coefficients independent normal priors
with mean 0 and standard deviation 2.5, this implies that the prior
standard deviation of the modeled predictive means is $2.5
\sqrt{26} = 12.7$. The default prior for $\sigma$ is an exponential
distribution, scaled to have mean equal to data standard deviation
which in this case is approximately 3.3 which is much less than
12.7. We can simulate from these prior distributions and examine
what is the corresponding prior distribution for explained variance
$R^2$.

#### Bayesian $R^2$ distribution

```{r }
ggplot() + geom_histogram(aes(x=bayes_R2(fit1)), breaks=seq(0,1,length.out=100)) +
  xlim(c(0,1)) +
  scale_y_continuous(breaks=NULL) +
  labs(x="Bayesian R^2", y="")
```

#### Prior predictive checking by looking at the prior on Bayesian $R^2$</br>

```{r }
ppR2<-numeric()
for (i in 1:4000) {
  sigma2 <- rexp(1,rate=0.3)^2;
  muvar <- var(as.matrix(datastd_G3mat[,2:27]) %*% rnorm(26)*2.5)
  ppR2[i] <- muvar/(muvar+sigma2)
}
ggplot()+geom_histogram(aes(x=ppR2), breaks=seq(0,1,length.out=50)) +
  xlim(c(0,1)) +
  scale_y_continuous(breaks=NULL) +
  labs(x="Prior predictive Bayesian R^2",y="")

pp1 <- mcmc_hist(data.frame(Prior=ppR2,Posterior=bayes_R2(fit1)),
                 breaks=seq(0,1,length.out=100),
                 facet_args = list(nrow = 2)) +
  facet_text(size = 13) +
  scale_x_continuous(limits = c(0,1), expand = c(0, 0),
                     labels = c("0","0.25","0.5","0.75","1")) +
  theme(axis.line.y = element_blank()) +
  xlab("Bayesian R^2")
pp1
```
```{r eval=FALSE, include=FALSE}
if (savefigs)
  ggsave(root("Student/figs","student_fit1_R2.pdf"), pp1, height=3, width=3, colormodel="gray")
```

The above figure shows that with the default prior on regression
coefficients and $\sigma$, the implied prior distribution for $R^2$
is strongly favoring larger values and thus is favoring overfitted
models. The priors often considered as weakly informative for
regression coefficients turn out to be in multiple predictor case
highly informative for the explained variance.

## Weakly informative prior scaled with the number of covariates

#### Prior predictive checking by looking at the prior on Bayesian $R^2$

```{r }
ppR2<-numeric()
for (i in 1:4000) {
  sigma2 <- 0.7*rexp(1, rate=1/sd(datastd_G3mat$G3mat))^2
  muvar <- var(as.matrix(datastd_G3mat[,2:27]) %*% rnorm(26, sd=sd(datastd_G3mat$G3mat)/sqrt(26)*sqrt(0.3)))
  ppR2[i] <- muvar/(muvar+sigma2)
}
ggplot()+geom_histogram(aes(x=ppR2), breaks=seq(0,1,length.out=50)) +
  xlim(c(0,1)) +
  scale_y_continuous(breaks=NULL) +
  labs(x="Prior predictive Bayesian R^2",y="")
```

#### Fit a regression model with a weakly informative prior scaled with the number of covariates

```{r }
fit2 <- stan_glm(G3mat ~ ., data = datastd_G3mat, seed = SEED,
                 prior=normal(scale=sd(datastd_G3mat$G3mat)/sqrt(26)*sqrt(0.3),
                              autoscale=FALSE),
                 refresh=0)
```

When we compare Bayesian $R^2$ and LOO $R^2$, we see the difference
is much smaller and LOO $R^2$ has improved slightly.

#### Compare Bayesian $R^2$ and LOO $R^2$

```{r }
round(median(loo_R2(fit2)), 2)
round(median(bayes_R2(fit2)), 2)
```

#### Bayesian $R^2$ distribution

```{r }
ggplot()+geom_histogram(aes(x=bayes_R2(fit2)), breaks=seq(0,1,length.out=100)) +
  xlim(c(0,1)) +
  scale_y_continuous(breaks=NULL) +
  labs(x="Bayesian R^2",y="")

pp2 <- mcmc_hist(data.frame(Prior=ppR2,Posterior=bayes_R2(fit2)),
                 breaks=seq(0,1,length.out=100),
                 facet_args = list(nrow = 2)) +
  facet_text(size = 13) +
  scale_x_continuous(limits = c(0,1), expand = c(0, 0),
                     labels = c("0","0.25","0.5","0.75","1")) +
  theme(axis.line.y = element_blank()) +
  xlab("Bayesian R^2")
pp2
```
```{r eval=FALSE, include=FALSE}
if (savefigs)
  ggsave(root("Student/figs","student_fit2_R2.pdf"), pp2, height=3, width=3, colormodel="gray")
```

Comparison of the LOO log score reveals that the new model has
better leave-one-out prediction.

#### Compute LOO log score

```{r }
(loo2 <- loo(fit2))
```

#### Compare models

```{r }
loo_compare(loo1,loo2)
```

#### Plot posterior marginals of coefficients

```{r }
p2 <- mcmc_areas(as.matrix(fit2), pars=vars(-'(Intercept)',-sigma),
                 prob_outer=0.95, area_method = "scaled height") +
  xlim(c(-1.2,0.8))
p2 <- p2 + scale_y_discrete(limits = rev(levels(p2$data$parameter)))
p2
```
```{r eval=FALSE, include=FALSE}
if (savefigs)
  ggsave(root("Student/figs","student_fit2_mcmc_areas.pdf"), p2, height=5, width=5, colormodel="gray")
```

The above figure shows the posterior distributions of coefficients,
which are slightly more concentrated than for the previous model.

## Weakly informative prior assuming only some covariates are relevant

We next use regularized horseshoe pruior, assuming that the
expected number of relevant predictors is near $p_0=6$ and the
prior scale for the relevant predictors is chosen as in the
previous model but using $p_0$ for scaling. We can then simulate
from this prior and examine the corresponding prior for $R^2$

```{r }
p0 <- 6
slab_scale <- sd(datastd_G3mat$G3mat)/sqrt(p0)*sqrt(0.3)
#
ppR2<-numeric()
for (i in 1:4000) {
  sigma2 <- 0.7*rexp(1,rate=1/sd(datastd_G3mat$G3mat))^2;
  global_scale <- p0 / (p - p0) * sqrt(sigma2) / sqrt(n)
  z <- rnorm(p)
  lambda <- rcauchy(p)
  tau <- rcauchy(1, scale = global_scale)
  caux <- 1/rgamma(1, shape=0.5, rate=0.5)
  c <-  slab_scale * sqrt(caux)
  lambda_tilde <- sqrt(c^2 * lambda^2 / (c^2 + tau^2*lambda^2))
  beta <- rnorm(p) * lambda_tilde * tau
  muvar <- var(as.matrix(datastd_G3mat[,2:27]) %*% beta)
  ppR2[i] <- muvar/(muvar+sigma2)
}
ggplot()+geom_histogram(aes(x=ppR2), breaks=seq(0,1,length.out=50)) +
  xlim(c(0,1)) +
  scale_y_continuous(breaks=NULL) +
  labs(x="Prior predictive Bayesian R^2",y="")
```

The above figure shows that the regularized horseshoe prior with
sensible parameters implies a more cautious prior on explained
variance $R^2$ than is implicitly assumed by the default wide
prior. The horseshoe prior favors simpler models, but is quite flat
around most $R^2$ values.

#### Fit a regression model with regularized horseshoe prior</br>

```{r }
p0 <- 6
slab_scale <- sd(datastd_G3mat$G3mat)/sqrt(p0)*sqrt(0.3)
# global scale without sigma, as the scaling by sigma happens in stan_glm
global_scale <- p0 / (p - p0) / sqrt(n)
fit3 <- stan_glm(G3mat ~ ., data = datastd_G3mat, seed = SEED,
                 prior=hs(global_scale=global_scale, slab_scale=slab_scale),
                 refresh=0)
```

#### Compare Bayesian $R^2$ and LOO $R^2$

```{r }
round(median(loo_R2(fit3)), 2)
round(median(bayes_R2(fit3)), 2)
```

When we compare models using LOO log score, the new model is better
than the default prior model, but there is no difference compared
the model with normal prior scaled with the predictors. It is
common that the data do not have strong information about how many
predictors are relevant and then different types of priors can
produce similar predictive accuracies.

#### Compute LOO log score

```{r }
(loo3 <- loo(fit3))
```

#### Compare models

```{r }
loo_compare(loo1,loo3)
loo_compare(loo2,loo3)
```

#### Bayesian $R^2$ distribution

```{r }
ggplot()+geom_histogram(aes(x=bayes_R2(fit3)), breaks=seq(0,1,length.out=100)) +
  xlim(c(0,1)) +
  scale_y_continuous(breaks=NULL) +
  labs(x="Bayesian R^2",y="")

pp3 <- mcmc_hist(data.frame(Prior=ppR2,Posterior=bayes_R2(fit3)),
                 breaks=seq(0,1,length.out=100),
                 facet_args = list(nrow = 2)) +
  facet_text(size = 13) +
  scale_x_continuous(limits = c(0,1), expand = c(0, 0),
                     labels = c("0","0.25","0.5","0.75","1")) +
  theme(axis.line.y = element_blank()) +
  xlab("Bayesian R^2")
pp3
```
```{r eval=FALSE, include=FALSE}
if (savefigs)
  ggsave(root("Student/figs","student_fit3_R2.pdf"), pp3, height=3, width=3, colormodel="gray")
```

#### Plot posterior marginals of coefficients

```{r }
p3 <- mcmc_areas(as.matrix(fit3), pars=vars(-'(Intercept)',-sigma),
                 prob_outer=0.95, area_method = "scaled height") +
  xlim(c(-1.2,0.8))
p3 <- p3 + scale_y_discrete(limits = rev(levels(p3$data$parameter)))
p3
```
```{r eval=FALSE, include=FALSE}
if (savefigs)
  ggsave(root("Student/figs","student_fit3_mcmc_areas.pdf"), p3, height=5, width=5, colormodel="gray")
```

The above figure shows that the regularized horseshoe prior has the
benefit of shrinking the posterior for many regression coefficients
more tightly towards 0, making it easier to see the most relevant
predictors. Failures, school support, going out, and the number of
absences appear to be the most relevant predictors.

## Subset of covariates

Fit a regression model with subset of covariates and default weak
prior on coefficients

```{r }
fit4 <- stan_glm(G3mat ~ failures + schoolsup + goout + absences,
                 data = datastd_G3mat, seed = SEED, refresh=0)
```

When we compare Bayesian $R^2$ and LOO $R^2$, we see the difference
is small and there is less overfit than when using all predictors
with wide prior. LOO $R^2$ is just slightly smaller than for models
with all predictors and better priors. The prediction performance
can not improved much by adding more predictors. Note that by
observing more students it might be possible to learn regression
coefficients for other predictors with sufficient small uncertainty
so that predictions for new students could be improved.

#### Compare Bayesian $R^2$ and LOO $R^2$

```{r }
round(median(loo_R2(fit4)), 2)
round(median(bayes_R2(fit4)), 2)
```

#### Bayesian $R^2$ distribution

```{r }
ggplot()+geom_histogram(aes(x=bayes_R2(fit4)), breaks=seq(0,1,length.out=100)) +
  xlim(c(0,1)) +
  scale_y_continuous(breaks=NULL) +
  labs(x="Bayesian R^2",y="")
```

#### Compute LOO log score

```{r }
(loo4 <- loo(fit4))
```

#### Compare models

```{r }
loo_compare(loo3,loo4)
loo_compare(loo2,loo4)
loo_compare(loo1,loo4)
```

#### Plot posterior marginals of coefficients

```{r }
p4 <- mcmc_areas(as.matrix(fit4), pars=vars(-'(Intercept)',-sigma),
                 prob_outer=0.99, area_method = "scaled height") +
  xlim(c(-1.3,0.1))
p4 <- p4 + scale_y_discrete(limits = rev(levels(p4$data$parameter)))
p4
```

