From ca072241ca6b85612898d1fcfcdfc79c033f23aa Mon Sep 17 00:00:00 2001 From: Neil Smith Date: Mon, 16 Apr 2018 19:54:52 +0100 Subject: [PATCH 1/1] Initial commit --- .gitignore | 9 + 20180409/20180409.ipynb | 3107 +++++++++++++++++++++++++++ 20180409/Arctic Sea Ice Extent.xlsx | Bin 0 -> 232920 bytes 3 files changed, 3116 insertions(+) create mode 100644 .gitignore create mode 100644 20180409/20180409.ipynb create mode 100644 20180409/Arctic Sea Ice Extent.xlsx diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1e96007 --- /dev/null +++ b/.gitignore @@ -0,0 +1,9 @@ +*~ +*doc +*log +/tmp +/__pycache__/* +*pyc +.ipynb* +*.sublime-workspace +.directory/* \ No newline at end of file diff --git a/20180409/20180409.ipynb b/20180409/20180409.ipynb new file mode 100644 index 0000000..c4373f3 --- /dev/null +++ b/20180409/20180409.ipynb @@ -0,0 +1,3107 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "import collections\n", + "from datetime import datetime\n", + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.cm as cm\n", + "%matplotlib inline\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "import scipy.stats" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Read the dataset\n", + "Rename the columns while we're here." + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dateextent
01978-10-2610.231
11978-10-2810.420
21978-10-3010.557
31978-11-0110.670
41978-11-0310.777
\n", + "
" + ], + "text/plain": [ + " date extent\n", + "0 1978-10-26 10.231\n", + "1 1978-10-28 10.420\n", + "2 1978-10-30 10.557\n", + "3 1978-11-01 10.670\n", + "4 1978-11-03 10.777" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sea_ice_raw = pd.read_excel('Arctic Sea Ice Extent.xlsx')\n", + "sea_ice_raw.columns = ['date', 'extent']\n", + "sea_ice_raw.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dateextent
127462018-03-2714.256
127472018-03-2814.302
127482018-03-2914.238
127492018-03-3014.232
127502018-03-3114.271
\n", + "
" + ], + "text/plain": [ + " date extent\n", + "12746 2018-03-27 14.256\n", + "12747 2018-03-28 14.302\n", + "12748 2018-03-29 14.238\n", + "12749 2018-03-30 14.232\n", + "12750 2018-03-31 14.271" + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sea_ice_raw.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "date datetime64[ns]\n", + "extent float64\n", + "dtype: object" + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sea_ice_raw.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sea_ice_raw.extent.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Prepare for reshaping\n", + "Annotate each entry in the dataset with the year, month, and day of year." + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dateextentyeardoymonth
01978-10-2610.231197829910
11978-10-2810.420197830110
21978-10-3010.557197830310
31978-11-0110.670197830511
41978-11-0310.777197830711
\n", + "
" + ], + "text/plain": [ + " date extent year doy month\n", + "0 1978-10-26 10.231 1978 299 10\n", + "1 1978-10-28 10.420 1978 301 10\n", + "2 1978-10-30 10.557 1978 303 10\n", + "3 1978-11-01 10.670 1978 305 11\n", + "4 1978-11-03 10.777 1978 307 11" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sea_ice_raw['year'] = sea_ice_raw['date'].dt.year\n", + "sea_ice_raw['doy'] = sea_ice_raw['date'].dt.dayofyear\n", + "sea_ice_raw['month'] = sea_ice_raw['date'].dt.month\n", + "sea_ice_raw.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# One column per year, one row per day\n", + "Create a DataFrame with one column per year, and one row per day number.\n", + "\n", + "Plot the data, with each line being a separate year. Pick out the first and last years in the data." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "sea_ice_day_year = pd.pivot_table(sea_ice_raw,index='doy',columns='year',values='extent')" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEKCAYAAAACS67iAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzsnXd803X+x5+frCZpM5o0SfdiOznF8xy4ThRPPfedeDhBT/H09BDX4VYUREURDxeicoriT8F5h+I48Vx4LlRG6R5pm66sZn9/f4SETtoCBVq+z8eDB+0333y/n2+avPL+vqeQJAkZGRkZmaGPYk8vQEZGRkZm1yALuoyMjMwwQRZ0GRkZmWGCLOgyMjIywwRZ0GVkZGSGCbKgy8jIyAwTZEGXkZGRGSbIgi4jIyMzTJAFXUZGRmaYoNqdJ8vIyJAKCwt35yllZGRkhjzffPONS5IkW1/77VZBLywsZN26dbvzlDIyMjJDHiFERX/2k10uMjIyMsMEWdBlZGRkhgmyoMvIyMgME3arD11GRkamv4TDYaqrqwkEAnt6KbsNrVZLbm4uarV6h54vC7qMjMxeSXV1NQaDgcLCQoQQe3o5g44kSTQ1NVFdXU1RUdEOHUN2ucjIyOyVBAIBrFbrPiHmAEIIrFbrTt2RyIIuIyOz17KviHmCnb1eWdD3EiQJnnkG3noL/P49vRoZGZmhiCzoe5iKCrjzTpg8GS6/HH7/e8jPlygr29Mrk5GRueyyy7Db7RxwwAHJbd9//z1HHHEEBx54IKeffjputxuIB3EvvvhiDjzwQMaNG8f999+ffM4jjzzC/vvvzwEHHMCUKVMGLdDbp6ALIZYIIRqEEOu7bL9GCLFBCPGTEGLeoKxuGFJbC489Bt98A83NMGkS3H03fPopXHSRl8WLy2lvl7j22vCeXqqMzD7PJZdcwr/+9a9O26ZPn84DDzzAjz/+yFlnncWDDz4IwIoVKwgGg/z444988803PPnkk5SXl1NTU8Njjz3GunXrWL9+PdFolOXLlw/KevuT5bIUeBx4IbFBCHE8cAZwsCRJQSGEfVBWN0wIheDZZ+HHH+H55+MuFbtdQqkUNDbCRx9JHHRQKzU1NRgMBn74oZUnnrCwZUuQESNS9vTyZWT2WY455hjKy8s7bdu0aRPHHHMMAJMmTeLkk0/mnnvuQQiBz+cjEonQ3t6ORqPBaDTS3t6e3KZWq/H7/WRnZw/KevsUdEmS/iOEKOyy+SrgAUmSglv3adj1Sxv61NfXEwqFePZZB3fdpUGlkvjd73wcc0wLt9ySw7hxMd58U4HNVklNjQedTkd2djbnn9/KE0/Ayy/7mT1bFnQZmeuug+++27XHHD8eFiwY+PP2339/Vq1axZlnnsmKFSuoqqoC4Nxzz2XVqlVkZWXh9/t55JFHsFgsANxwww3k5+ej0+k46aSTOOmkk3blpSTZUR/6aGCiEOJLIcQnQojDduWihjqrVoWxWKJ8/30rn3wSYt48FSec4Oabb35i/vw6zj9fwSeflPHiixvJyXHi8XiwWq0YDAZKSkpIT69nxIgACxemsXhxgGh0T1+RjIxMgiVLlvDEE09w6KGH4vF40Gg0AHz11VcolUpqa2spKyvjoYceorS0lJaWFlatWkVZWRm1tbX4fD6WLVs2KGvb0cIiFWABfgMcBrwqhCiWJEnquqMQ4grgCoD8/PwdXeceJxKJUFtbS2ZmZvIP2BWfz4fT6eSeezJpaUll8eJsPv1Uh80WZtEiidzcQlJTUxFCYLOFqKiooKmpCZVKhdvtJhyO+82NRiN33lnDnDk5XHWVlro6ibvu2rfSt2RkOrIjlvRgMXbsWFavXg3E3S/vvPMOAC+99BKTJ09GrVZjt9s56qijWLduHUIIioqKsNni3W/PPvts/vvf/zJ16tRdvrYdtdCrgdelOF8BMSCjpx0lSXpKkqQJkiRNSFzQUKSlpQW3201zc3O3x4LBIE6nk/Lycvz+MJs2aQF44w0DLpeK226rxWj0kZqait/vx+/3U15eTjAYBCAajRIOhzEYDIwcOZK8vDwOPTTEG29UcsIJbu6+W3DMMbB6NUQicPvtu/72U0ZGpn80NMQ9zLFYjHvvvZcrr7wSiBusH374IRA37r744gvGjh1Lfn4+X3zxBX6/H0mSWLNmDePGjRuUte2ohb4SOB74SAgxGtAArl22qr2QtrY2IC7sNpsNpVIJxMt1y8rKiEQiALz/vh6PR8l991WzYIEDqzXGySeraW5uxufzJUUcID09HUmS8Hg8xGIxTCYTWm38y8But1NXV8eMGQ189VUqGzcqOPnkbVb6Cy9EWbdOYLWKfa74QkZmdzFlyhQ+/vhjXC4Xubm53HXXXXi9XhYtWgTEre1LL70UgKuvvppLL72U/fffH0mSuPTSSznooIOAuH/9kEMOQaVS8atf/YorrrhiUNYrevCSdN5BiJeB44hb4PXAHcCLwBJgPBACbpAk6cO+TjZhwgRpKA64aG5upra2FrPZTGtrKwBms5ns7GxcLhcNDQ0oFAoCAfj970ei18d49dUSYjFBYeEo9PoYW7ZsobfXWq1Wo1KpaG9vJyMjA7vdjhCCQCBAY2MjbrcblcrIqlVWbr45FZMpgs+nJCMjwtixQUpL9Vx2WSsXXdRGTk5Ory4hGZmhxC+//DJoluzeTE/XLYT4RpKkCX09tz9ZLlN6eWjXO4D2AmKxGPX19YTDYYQQSJKE2+0mNTWV7OxsUlJSqK+vp7W1FbfbTSwWA0Cn0/HUUzpqajQ8/XQZKhWARHNzJXV1wV7FXKlUMmLECIQQOJ1OXC4Xzc3NyeNqNBqEEEQibk491U1hoZacHAVVVRI33ZTL2rWpjBvXzp13WvD7g8yY4aSgYOjGKmRkZHacfbrbYiQSob6+HrPZTGpqKpEIfPFFCykpzZhM8faVoVAIiPu5N27cSLRDyklCdAHKyoI89VQ+J5/sZ+LEEFvjmz1WhKlUqqSLJnFchUKBQqHAaDQmK886nj/B/vvHj2c2w2uvleDx6MjNFVx7rY1587Kw2So5//xq1Ooc7r5b0NQE994LI0fughdMRkZmr2afFXS/3091dTWhUIjW1lZycnK48MI03n7bykknqViyxEssFiMUCqFWq/ss1X3ooUwiEcFf/1qdzFbpjUgkgslkSvrlJUkiGo0mg6P9Ra+X0Ov9hMMwb56P0tKRPPpoJj//3MaqVVG8XiWhkOCbb+B3vwObDW68EWSPjIzM8GSf7OUSDAYpLy9PWttKpZJ//auJt9+Of7+tXm1iwgQb//d/Ej/9pO1VZJ1ONVddVcBdd2Xz7rtmLr+8kby8UI/7dqWtrY20tLRdc0GAUgnXXVdPY6OKF1+0kpMTYvnyEp5/vhSfL8ITT0jcdhtotXDFFfHqVRkZmeHFPmWhS5JEa2srTqcz+TtAKBRh/vw8DIYor7++mZkz8/nhBz3XXx/3Rf/nP7+Qnt65usfvVzB3biZr1xoAmDy5lcsvbxzQerxe785eUieOPdbDunU/d9v+3nsbCIcFmzfns2ZNKk8/raCwMMJVV3lIT0/fpWuQkZHZc+wzgi5JEtXV1Uk3B8Qtc51Ox5IlOr75JpW7764mMzPCP/9ZSmlpCvPmZfLZZwbuvz+Lv/+9Dq9XQW2tmvffN/HOOybcbhVXXtnAlClNWCxxwVcoFJ18613p6/EdQaPRIElSr3cSSiUolRIHHljBb36TSkVFLg8+qGDiRCe/+pV6l94pyMjI7Dn2GZeL0+lMirnFYqG4uBi73c5HHyl45BEHRx3l4cwzW7FareTn5zNiRIjFiyv49a+9vPeemeOPH8PkyWO47LJiVq5M56CD2nnmmTJmzGhIijnEBVun0/W6jl0t5hAPnPYk5mq1GqPR2Gmbz+fjyivL8fsFs2blUV5etcvvFGRkhgtVVVUcf/zx7Lfffuy///48+uijQDyVedKkSYwaNYpJkybR0tICwIYNGzjiiCNISUlh/vz5yeNs3LiR8ePHJ/8ZjUYWDEL5a5956LuSPZGHLkkStbW1yRc8Pz8fo9FIc3Mzb7/dyqWXFlFQEOKpp8rIyZFQKpVEIpGk8Pr9Cn76Scdbb5nJzw9iNEY57bRW9Prd97opFAqEEJ0ybPqLxWJBoVDgcnWu+1q1ysrs2VlMnerivPNaOP74LAwG2VKX2XvYG/LQ6+rqqKur45BDDsHj8XDooYeycuVKli5disVi4eabb+aBBx6gpaWFuXPn0tDQQEVFBStXriQ9PZ0bbrih2zGj0Sg5OTl8+eWXFBQUdHt8UPPQhzJut5va2loikQhVVRrsdj1Go5FQKMR//tPErFmFZGeHeemlLaSlxVAo1ESj0U5WtF4f47DDfBx2mG+75zIYDMk2mbuanbHqm5ub0Wg0aDSaTimQ55/fzvr1UZYty2DZsgxstjD33OPiz3/usYODjMw+SVZWFllZWUD8Mz5u3DhqampYtWoVH3/8MQAXX3wxxx13HHPnzsVut2O325P9XXpizZo1jBgxokcx31mGraB7PB42bqzi88/T8Ho13HtvJqEQjBsnceutTm68sYBYDBYsqMBiUZGVlUVFRQUKRc9eqK754RD3wUejUVQqFR6Pp9N2g8FAIBAYtMkkPZGamorP1/2Lp2suO0B7u58779zCXXeN4P33wyxeLHHllRn89FOII45Qc845Qk5vlNl72Av655aXl/Ptt99y+OGHU19fnxT6zMxM6uvr+32c5cuXM2VKb/WaO8ew86F7vV7Wr69hyRIP06YV8de/FvD3v2eh0Uice64blyvMBRfkU12t4b77ahg/XkFeXh5NTU1Az9ZwohtiVxIukIRVnpIS713ucDjIyMggEAgk/emJ3i89oVQqUalUaDSa5P4KhQKz2Zzs7dIfehLz3hBCEA6HsFhauPpqLR99FKO4OMDChRouuEBw4YXyYFMZmQRer5dzzjmHBQsWdItLCdH/fkqhUIg333yT8847bzCWObws9EAgwKZNlZx++khqazWkpUVZsKCZnJxm8vND6PUxLrxQw/PPZ5CdHeLkkwVGo4UtW7Zs97i9uVESrQEgLsDRaBSFQoHJZKKurm5rf5cAarU6GbRM3AHEYjGEEMnnQTyI2d7enjy+x+Pp0W/e8bwDeawjiX2cTifp6elkZKSyZEk5n3+u5Lvv9LzyipXTT49xwQUKerlpkZHZfezB/rnhcJhzzjmHP/3pT5x99tlA3Girq6sjKyuLuro67Pb+DW177733OOSQQ3A4HIOy1mHzUfV4PJSWlrJqVTq1tRrmzavh++9r+e1vaxk7NoBeH7e8CwpC3H57LdOnu4jFYtTU1PR4vL6+cRUKBXq9Pvl7LBYjEomgVCppbm6mra2NlJSUZBVox/2sVitKpbLbYx0zVWKxWCeh77gmSZJ6XV9/xLyrW6mkpISWlhb22y+V005r4y9/CSCExIUXKpg7d/cFf2Vk9jYkSWLatGmMGzeOv/3tb8ntv//973n++ecBeP755znjjDP6dbyXX3550NwtMEyyXAKBAKWlpSxcmMmTT6Zz4IHtrFnTjtNZ121fjUaDyWTC6/V2sob7ixAClUo1oBL9nlAqlaSkpCRnDnbMj09gsVjIyMhIdk/0+XyUlZV1WktGRgahUKjb81UqFZIkEYvF0Gg0ndr2Qtw9pNPpkt0jO2Kz2fjsswC33WantDSFDRuCFBT0noopIzMY7A1ZLmvXrmXixIkceOCBSUNozpw5HH744fzhD3+gsrKSgoICXn31VSwWC06nkwkTJuB2u1EoFKSlpfHzzz9jNBrx+Xzk5+dTWlqKyWTq9Zz7dJZLKBSivLwcIQQTJ+qAVqZOraOxsWcLNhQK0djYc0VnSkpKJ+ETQiQDn5IkJYuCOnZiHAiZmZkAtLa2EggE8Pv9ycGxXdcRjUZJT0/H5/OhUChQqVTo9XrUajWRSAS9Xo/VakWn0yX97x2vq6ObqKuYJ7ZZLBZ0Oh11dZ2/+BobG9lvPxW3317D+eePZMWKFq65RpGMEcjI7CscffTRvX7O16xZ021bZmYm1dXVPe6fmpqajNUNFkPa5SJJEuXl5cRiMVJSUjjooC1cfXUNJlNswDnbarU66QM3m81A3EKORCJIkoRKpWLkyJHJqsqObguVSrVdF03CPdPW1obT6SQQCCCESLpkumah6HQ6YrF4D/WamhoqKyuTbpbCwkJ0Oh0+n4/Kyko2bdqEz+fDbrczcuTIAQVREzm2PRGJRBg7NoDRGOGzz3SUlpYSi8FuvKGTkZEZIENa0P1+P6FQiFgsht/v7zXlsC/iGR/hpAXe2tqK2WxOVlAmLOSamhq8Xi96vT75haFQKFAqld2GSmRkZHQKgCascYh/U0uS1M1yTnwptLa2dvqC8Pv9ydF3Go2GgoICsrOzycvLQ61WU15eTn19PSkpKeTl5TF69OhuVv+OoFTCr3/tY+XKdO66y05WVpjUVIkXX9zpQ8vIyAwCQ9rlkmiylZGRQWtr6w4X9SQs8ETxjVKpJBwOdxLchICnpKTg929L6YvFYkkrO+GeATpVZjocDgKBAD6fj4yMDFpaWhBCoFarO1nnHd040Wi0UzFQXV0dRqMx2SXSYrGQlpZGcXExNTU1NDc34/V6k1k1KSkp3fz8HbNteqJr8RHABRc009ysYsUKCw5HmHHj/FxyiZ6KCsHs2QN6mWVkBsz2EgCGIzsb0xyyQdHGxsZek/k7DpDoi67Nsrr6xtPS0vB6veTk5BAOh5MDYruyPZ96T+cQbjfCaCQqSZhMJtLT02lqasLv9w/IXaRUKjEajcnWBn1hNptRKBQ9DrtOrE2tViOE6PSFVlmpwWCIkpqq4OabM3n/fRNVVZCb2++lysgMiLKyMgwGA1ardZ8QdUmSaGpqwuPxUFRU1Omx/gZFh4ygx2IxvF4vHo8HvV7fa7ph18BmXxQXF6PRaCgrKyMYDKLX65MWuFar7WSx9weF241j0SLc556Lb9Sozg9GIhg/+ICMF19E/8MPSKNGEb7/fqK/+x1SOIxu1iwkmw2XTkfKJ5/QfN55+I44ot/XAvEvD7vdjtPpRBWfg9fty81msyFJUrf+Ll2/eHrrDFlaquGMM0azaBHMmDGg5cnI9JtwOEx1dfVurbbe02i1WnJzc7u5TIeVoEejUUpKSnoV1YFY5BC3ahNl8nq9nkgk0i2FUavVDuiNpK6thVgM6wcfkPHQQwAE99sP/6hR1M2ahW7DBnJvuw11XR3B/Hzcv/sdhg8+QFtSQtvJJ+M98khy7rij0zEjRiMb16xBGkCgs7/tebf3mvX1egohOO20UZhMCt55J0BOjtzUS0ZmMBlWgl5ZWdlj6f3O0Jc/uT+YWlvJmjGDYHo6+rVrQZIQkkRwzBjcRx2F7pdfSP36a2Lp6Sja2hAjRsDcuZSOG4c/EECEw2Q89xz2J59EhEKEMzKoXLyY1C+/JFBcTOFVV1H797/TfP75SaFOBGjtdjuBQIBIJNIpl7xr9WpKSsoO5dv3xTvvmPj733NJSYkxZ46Ha6817RO3xTIye4JhlYc+kG6D/bVQd1bMNRoN2mXLUP34I0qdDu9VVxGIxTB++y3KOXNodDgQQjDK7UY1ezYUF8OcOWC1khsKsXnzZsx2O4GZM9l84olkLViA8swzKTrrLMTZZxMJh5Gefprs++4jPRQiJT8fUVOD+5xzqNJq8fv9+Hy+uHspcb0KRVzMJYnM+fNRer3Uz5gBDseAXVF9ceqpbRQWBnn44WxmzjThcLg5//zeiyVkZPZVGhrgjjvg/vvjw90Hkz4tdCHEEuA0oEGSpAO6PDYTmA/YJEly9fT8juyohd7a2tprsr7BYMDr9e5UdHhHpgg5HnoI29KleI88ksZlyxBCJNMcEy6LRO/1nohGo8ny/3A4jFKp7N7Ay++HadNg+fLEQpGMRmqXL6clJweVUknhQw+RsmwZIhgkptEQsdlwH388GcuWAeA94gjKn3wSlVqNSqXa5f5In0/BZZcVU1am4e23PRx7bBqxWKzP3HwZmeFKOAwbNoDJBKtXw003SXi98PrrglNP3bFj7jKXixDiGMALvNBR0IUQecAzwFjg0MEU9JKSkp0Sory8PFwuVzfXg0KhQKPRbPfYCddMbm4udXV1RKNRjBUV5J92GgCty5dTvf/+AFit1uTcUpPJRHZ29s6LWjAIL7wAhx8OBgMcfTQA0nXXIdatg1dfhT/9CUaNIuL1Iq1cibqkBO+vf43n2GPJevBBmqdMIaZS4bzhBjKzs5OVqgl2pOq1I42NKqZOLSYQUPDcc2UUFwfR6XTk5+fvknx4GZmhwNVXQ1sbfPABdEzAGz/ex0MPeTjhhMwdPvYu9aELIQqBt7sI+mvAPcAqYMJgCvovv/zSYypfX5a1EAKHw4EkSdTX1w9YuHQ6XbJEPjMzE6/XS2NjI/lz56J8/nmorkayWGhvb0cIkWx9O6i5s+vXw6RJ4HSCWg233QazZ0PifH4/lJfTbLdTW1VF8aWXov/+ewAqH3wQ9+TJyUN1zJvv67VUKpVkZmb2ml1UVqbhssuKCAYVzJ/fxFFHNaLX6yksLJQtdZlhzxdfQCIhbeJEuPxycLm8pKa6OOIIL1lZmWRk7PjwmEEVdCHEGcAJkiT9VQhRznYEXQhxBXAFQH5+/qEVFRX9vYYkFRUV+P1+srKyaGxs7JcvWKPRMHLkSDZv3jwgf3lC2Gw2G46KCqTPPkNcdx1EItDcDDod5OTAuefCc88N+Fp2CdFoXLhVqvh6ekCSJJxOJ77Nm0l7/XXS33gDhGDzG2+g+/lnQqNHE93O7NOeEEL02OgL4m6msjLBjTfmsXGjlkWLKjniCC95eXnbbUQkIzPUCYVg8mT43/+gogKMRojFovzyyy/JfXQ6HYWFhdudi7A9Bk3QhRB64CPgJEmS2voS9I7sTB662+3G5XJ1qtLcHllZWTidzgG7ElSSRM7rr5N2+umIs86CykpItMn1++Oujy+/hK++gsMOG+hl7HYkScLj8SCtWIFp+vTk9ojFQslrrxGx2QZ0vN4s+cSQjoaGMJdeGvepL15cwVFHBcnPz+/UalhGZjgxcyY8/DA88wxcdplEdXV1j91TtxdT64v+CvqOND8ZARQB328V81zgf0KIHXcQ9UFTUxOVlZX9FnOIl8r3JuZKpbJHN0DGJ58w5pprMNx5J+LQQ+NiPnp03AqeNg3OOCMu5hdfPCTEHOJWtdFoxHTJJcQOOIBQZib1112HsqUFSyLY2mX/7dGbWyYajRIMBjGbJV55pY7c3DC3355Dc3OMsrKyQUmdlJHZk3i9cNNNcTGfNi3+z+Vy9SjmNptth8V8IAw4bVGSpB+B5HiOgVjoO0rXMvWdDeKl/vvfpP33vzRdcAGhUaOQYjEyliwhc8ECyMyEW26Bqqp4sPGEE+JP0mjiro6SEhgzZmcuZ8+gVKL49luiwSBtNTXovvsOy/LlBMaNI3rwwUjV1fgPOghpB28JO5KeLli8OMBppxmYNSuPRYsqKC8vZ9SoUcnqVRmZoUhpKaxYAatWweefx7dZLBK33SaxcWPv7t0ddbUMlP5kubwMHAdkAPXAHZIkPdvh8XIG2eXSsW+L3W7v1E+lY2CvPxjWrCH/+usRkoSkUuG88UYycnNRz5gBU6bA0qUM9+nIsViMwLffojv6aESHbBfX1Kk4b7ppl5yjoKCAJ58MM2uWhTPPbOG222qxWFIpLCzcJceXkdnd/Phj3L5zuWDkSKivj3HFFfVcdlkrKpWyx2HsCQwGAwUFBTt87mFVKZrIcumpJH0g1rqqsZFRZ5xBdMQI6hYuJP322zF+9FH8wYkT4eOP2acGaH7+OdKGDYTXrkX93nuIujpazj8f3+zZtA7gfbG9oqUnn8zm8cctHHaYl/nzq3A4FBQXF8vpjDJDiuZm+NWv4jfpa9ZAQUGQLVu2oFCIfhuUe6sPfbeT6Cu+PTHvTy90y8qVKD0emh5+GI/ZTGj5cpg7F8aOhUcf3bfEHOCIIxCXXorm2WcRlZUE/vIXzK+8QubEidu+6PrB9rKO/vznWh54oIZ161I54YSxvPmmnvLy8n2q4ZLM0Oexx+Ihtddfh9GjJSoqygGpX2KelZVFRkYGqampg77OIWGhV1dXd+pXolAoUKvVfaYvJiz67OxslAoF+vHjCdlslD33HGq1mlGjRu3wUIzhiCRJ1L79NtZbbkH700+4jz+esMNB8x//SNhuJ2Y09vuOSKlUkpeXR01NDeFwmJ9+0jJnTjYlJSnccIOTP/yhlZEjR8pj7WT2ehoaYNy4+E38ypXxmF5tbW2/npsoTExNTe3WEncgDCuXy8aNGzvN8RxIXxKtVovJZML8+eeozziDlkcfRZo6FaPRKAfoekCSJKT6esRZZxFzOhF1dSi2vtaBkSPxHXooTVOnEuqHLzzRCrSkpAQAp1PFTTfl8b//pfLCC6UcemiAMWPG7LaAkYzMQIlE4nV8X3wRz1QuKvJSXl6efLzjKMmEJvVm9OxMTcawEvSampp+D3CA+AtqsVi2DWQNhxk5bRqKujrYvBlNmtzutb/Url2L9P77aD0eNF99Rer//gfApnfe6VcOu1KpJD09HZfLhUajobU1zOmnjyYrK8qLL5agVqsoLCxEq9USi8Xiwz/kylKZvYRZs2D+fHjmmTBTp8YoKSlJinXC+u5p0ldXhBCMGzduZ8ZkDh8fOtDj3M6uvycoKCggKysrGYDImj8f7bff0jprlizmA8RxxBH4p06l4fLL8bz6KmVPP42ivR39N9/06/nRaBSXy5UcEpKWJvjLX+r5/nst//63mUgkQnl5OU6nk02bNrF582Z8Pt8gX5WMzPZxueLDW+bPhz/+sYnDD9/I5s2bO1neiRTFvsQc4neru8O9OyQE3Wq1kpKS0u2F6+mFNJlMpG0VbbvdjiUYxLJiBe0XXkjalVfulvUOJxK+8FgsRjgcxnzCCcQ0GvTr1w/oONFoNDm79fe/b2XcuHbuvDOLn3/WdhJ9iI8e66k4Q0ZmdzFrFjz9tMTvfufmppucve7XH5FWKBQ75T8fCENC0LeiUG5ZAAAgAElEQVRs2dKvKlGFQoHD4Uj+rtVqyX79dUQkgu622+Ty8x1Eq9XicDjweDz4wmEC48ah+/HHHTpWfKQfPPZYBUZjlKuuKmTjRg3p6ekUFxczYsQI9Ho91dXVu7R/u4xMf/niCx8vvihx/vlNzJ1biVq9zcUCcZ1JGI1dXdYJd6HVagXiPVzUavUuH9DTG0NC0Pvy8ysUCnJychg7dmxnN0xjYzzf6Nxzoet8T5kBYbVasVqteL1e/AcdhO6HHyi48kosL78MkQia0tIBHS8zM8LTT1egVsPUqSO44QYtq1dvoaKigvT0dCRJGlDcREZmV9DSEuacc9RYLBGmTYvXSmZlZWG325Np02azOTn7oKs2JaaEeb1ehBAEAoHdapgMCUHvzVee6Gc+Vqsl/eSTUXTs5BiNwgMPxBtq3X33blrp8EUIQVZWFkVFRTROm4b3qKMwfPYZ2XPmMPq00xh9xhkYP/tsQMcsKAiyfHkpp50W4P/+L51zzx3Bv/+toKamBq1WS0tLy061eJCRGQjhcJg5czzU1mp48MEqMjIiKJVK6uvraWpqQpIkUlNTu7Ui6Ug0GiUUChEMBuMZY1vfv9XV1Xg8nkG/hiEh6B3T2lK/+AJtfT1KpZKRI0dSVFSEYtky+PprePnl+E41NfFxIQ8/DBddFC8cktkl6HQ6UvLyqHz8cUo++wwpKwvl1iBm/pVXkjd7NiIQQAiBzWbr08eYkRHi9ttLee+9EgoKQlxzTQHvvmsiEAgQjUblpl4yu4WWlha+/nozTz5p4thjPRx+eAgh4lWger2eaDRKSkpKt4B9T+/v3uYh9Cd4urMMKUFXV1dTdPnljDzxRGw//YTG60Udn+0U33H5cggE4tWfPh/8+teydT4ImLcORgwYjVR9/jnhujpKXn2VtkmTML75JsVTp6IuLaWlpYX8/Px+BY4cjhBLl5bxq1/5mT07h08+MQDdG7PJyOxqEgNwnn8+A49HyR13RIlEIkiShNVqTQ5n76kqtLfuo13vLJVK5W6pFB0Sgq7RaBBCYN6wIbkt47zzIDsbHA74/vv4EOYff4S0NFi4MN7L8ssvIS9vD658eJIILhuNRtweD9XV1Ujjx1P18MNUPvYY6oYGCq65hlhrK+Xl5UlrpS9h1+tjLFhQyahRQa65Jp8FCxz873/tcpsAmUHF6/Wyfr2KJUsy+MMfoowYEQ9gKpVKIpEIfr8fvV7frfVIT/T0Hk/MEBjo3OIdYUgIus1mQ6PRoPr6a2I6HaF334Xf/CYu2lOmxC3yr7+GJ56AG26ARx6BRYv29LKHLSkpKSgUCpRKJfn5+cle6ACe446j8uGH0VRXk3PbbSiESN5hSZLUZ3MikynK0qWlnHJKG88+a2PGjAJKSrbQ2Ngo+9NlBgWn08mCBQ7MZolFixTJgKcQgra2NrRabXJbT3QshutJtGOxGFardbdk2Q2J2neXy0UwGCR1/XqkQw9Fc8opcMop3Xe86qrdv7h9ECEEer0ej8dDeno6o0ePxuPxUFtbG7doJkzAef31ZM2fT+Cpp2i55BJQq5EkqV9FQzqdxNy51RQWBnniCQdVVSqgnubmZnJycpIpYzIyO4vHE+T++8189pmB++4DcCVFOWGRb+8OMSHkvZX7J7bvrvYWQ8JCN2o05H73HdoffkDZk5DL7HYcDgfRaJTS0lLKy8uRJIlRo0aRnp6OWq2m6aKLaJs0CcdjjzH2kEPIv+YaiESIRqP9rpg7+eR4cdFXX8UFPBwOU15evluCSzL7Bs895+a552zk5kY55ZRKnM5tRUQajQaNRrPdVs+JTJbe3CmJHui7I8MFhoigp958M+YLL4SCArjuuj29HBni2S4jRozA4XDg8/moqqrC5/ORk5PDmDFjOODAA3H/4x9UzZkTD5Z+/DHjjj6a1K+/7rcvsagohN0e5t13TXQ0fqqqqmT3i8xOE4lEeOcdDVZrmPff34Java34RwhBLBYjFAr1OoVIq9Vu9/iZmZnJYTx+v3+3VD8PCUHnoovik4T++99tA5tl9jharRabzcZ+++2HSqXC5XJ1Etrc4mJ8Z50VD5Y+9BAoFOTefDP2hQvjBUl9IARMn97IV1+lsWJFenJ7e3s7v/zyixwsldkp1q2rYe3aNE46qZ1IJH7Xl7h7VKvV2w2CajSabu+/hPtFo9EwcuRIjEYjfr8fpVKJw+HAYDAM0pV0WMNQ6LYos/fT1NREXV0dZrOZnJyc5Js7Go0miyoMH35I/syZiK0flLInn8R35JHbPW4sBn/+cyHff69nwgQfZnOEmTOdWK1x143FYiEcDpOZmSlPQZLpN42NLk48Uc/mzSm8+mo1hYXdXSKJ9/BANXLUqFFoNBq2bNlCIBAgr7QU0ymnwE68P4ddt0WZvRuLxYLNZqO1tZWKiopk1otSqaSgoICcnBw8J5zAL59+yoYPPyRQVETu7bejrqvb7nEVCrjnnhoOPNBPc7OS1atNnHHGKFasSCcWiyWnrJeWlvYrrUxGJhQK8fbbbn74Qc999wU6iblWq0WpVKJUKjGZTDvk2lOpVFRWVhIIBNDX1GA8+2y4995deQm9Igu6zC5BCIHdbsdut+P3+6mpqen0YUhPT2fs2LGorVaidjs1c+agcrkYc9JJZM6bF58k0AuZmWGefbac5ctLeemlLYwdG+Duu3N47bX05LnD4TAbNmygsrJSFnaZXonFYpSXl7N8uRWzOcYxx1R2ezxRHdpxSlpfqFQqiMXIeO45Ghcvxl9WBkDOU08hNJrdloEnu1xkdjkJ90thYWG3FMNEpkowGCS1tBTTsmVYVqwgYjIRysuj/MknifWRqx6NwsUXF+NyqXjnnU0kMsISKWJ6vR673S6nN8okkSSJ2tpa2tracDoVnHzyGK66KswVV2xK7iO21kyYzWZcLlen529v9GJi1KV51SpyZ8+On0+pxP3b32JavRpmz4Z77tmp9e8yl4sQYokQokEIsb7DtgeFEBuEED8IId4QQph3arUyw4r09HSUSuW2iVEdUKvVjBgxAqvViq+4GN9DD1F9990Ei4rQr19PwdVXI/polaxUwsUXu6ip0XD99fk8+2wGHauy/X4/5eXlPZ5fZt/E6/XS0tKCVqvlpZesRKNw+unVQDwQmghYZmdndxNz2L4fPRKJIIJBsh5/HGnCBFizBu9JJ2H88EM4+2y4447Buage6I/LZSkwucu294EDJEk6CNgE3LKL1yUzhEkEKz0eT4+tQxUKBVlZWRgMBrxeL5aZMyl78UUqH3oI/Q8/UHzFFah6+FB15Le/dTN9eiNr16axYEEmixbZO33o1Go1dXV1cgteGYCt7hMFr7+ewgsvZHDeeWGysuKGg8lkwuv1kp6e3ikPvT+kpaai/+47Rk2ditLpRMydS+joo6mYN4+m2lr4v/+D3Ti7uE9BlyTpP0Bzl22rJUlKOCq/AHIHYW0yQxir1YpCocDpdPaad26z2ZIdFdPS0nCfdBJVDz1EyqZNjPzTn7YbMFUo4K9/reebb37mnHOaefppO3fdlc1TT9lwuxXJWY81NTUD8oXKDD8ikQhOp4erry5g1qwc8vJizJixJfl4S0tLMqNlIEVr6a++Sv748RRdfDGaDRvguOOQjjuO+vp6AIw7OBB6Z9gVQdHLgPd2wXFkhhEqlYqMjAw8Hg+lpaU9irper0ev1+NyucjLy8NgMOA+8URKly5FuN3k/e1v0EeMRwi49dY6jjvOzTvvmFi40MEf/ziSd981JT+cu6sXtczeh9/vZ/PmLcycmcfatXruvbeF11//Bat1m49Or9czYsSIAXX2zJw7l5x77sE/Zgwt06YhNTbCmjX4thYQ2e32Xuc4DCY7JehCiL8DEeCf29nnCiHEOiHEusbGxp05ncwQw2azkZeXRyAQoLS0FJfL1U3Y7XY74XCYqqoqHA4HNpuNwH77UX/ttejXr0ezNVtge2g0EgsXVvLVV79wzTX1VFdruOmmPL77Tpfcp6KigpKSErltwD5EJBKhoqKC5cvT+PRTAzfdVMfZZzvp2lbF4XD0a8RlAtO775KxbBlNU6ZQ/vTT1F57LXWhEG6vF4/HgxCCjIyMXXw1/WOHBV0IcQlwGvAnaTsRA0mSnpIkaYIkSRNsNtuOnk5mCCKEwGQyJYdMO53OboHKtLQ0srOz8fl8lJSUEA6Hyc/Pxz9xIgCpA8yKmj69keeeKyUtLcpjj2V3yoYMBAJs3ryZcDgstw7YB3A6nUQiMZYuzeKQQ/xMmdJMNBrtNnwiHA5TU1PT63E0FRWMPvlkCqdPx75oETm3347/4IMJzZ2L2Oofb25uprKyErfbTVpaWr/7Fe1qduisQojJwI3A7yVJ6v9Xm8w+iclkYvTo0cnxXV3F1GKxMHr0aKxWK21tbdTW1pI9cSJhhwPLK6+gGMCAXYUCJkzwc+ONdXz9tY5Fi4pQq7fd+kqSxMaNG6nro6BJZmgTCARobW1lyxYHlZUKzjuviYSO9xQ87w0RCpF/3XUofD7UtbXYFy8mMGYM3pdeIhiNJsfSJQiHw322iB5M+pO2+DLwOTBGCFEthJgGPA4YgPeFEN8JIRYP8jplhgEZGRmEw2Fqa2u7PaZWq8nKyqK4uBiA8ooKvGeeiW7TJoouvxx6aZDUG2ed1cqFFzbxzDOpjB07mn/+09LJcmpubqa0tFR2wQxTEoHwf/7Tgl4f44QT4kZB1/YQ0Wi0x0lECTKWLkVbUkL1nDlsfucdfl67lpZ336VRkvB6vWRnZ1NYWMjo0aOTz0lM9NoT9JlPI0nSlB42PzsIa5EZ5hgMBjIyMnC5XKSnp6PTxX3cHW+BdTodxcXF1NTUUHP11XgLC8m75RZszz1H4xVXDOh8M2fWkZoKq1en8sAD2Ywfv4UDDsjE620kLS2M3++ntLSUUaNG7bZ+1TKDjyRJtLW1sX69lddeUzBjRgN6fdwq79g5UafT9Tmz1rxqFZ4jj8R7zDHYbDZ8qal4PB5SUlLIz89PBj41Gg15eXnJ6Wp7Crn0X2a3YrfbUSqVVFZW8vPPP1NWVtatVF+j0ZCbmwtCEJsyhdbJk7H94x/ofvxxQOdSqQRXX13HK69UkpYWZeFCOwccYGHGjG0fxEgkkmxxKjM8aGpqor09zF13WcjNjXDppY3dRDYzMzNerr8dVA0NpFRW4j3ySCwWCw6Hg8zMTCKRCFartVsWi8lkShopewpZ0GV2KwqFgtzcXFJSUjAajbS3tyfzdjuiVqsxGAx4PB6a7ryTiMNB4Z//jPHf/+73uRKTYrTaEH/4QzOffRavBvz2Wx25uXnJftZNTU1ykHSYsH69xBNPhLj++gI2bEjhb3+rRauVOv19hRAYjcbtjpWDbQH52MSJSSFP+Nt3RyvcHUEWdJndjsFgoKioiLy8PCwWCy0tLT32Ns/JycFutxM0GKh64QWCBQXk33BDv3qpJ4hGo5jNZmbPDvH3v9dy0EHxGP6XX8bH2SXo69ZbZu8nEJA45RSJO+7I5r//TeWWWxqZNGlbQD1hUWu1WjZv3tznl3jqunXEDAZyTj0VhUKBy+Wivb2dnJycPq37PYUs6DJ7FJvNhlKppKqqCo/H0+lDplKpsNvtWK1W2u12KpYtw3388WTdfz9p//lPvws34gGyEJdc4ueuu+LpaQsW6PF4tiVoyS0Chjatra3cd1891dUK7rmnmm+/LWPq1HjdS0pKCrAtuyUYDCa3JejJ7526bh2KiRNJJK57PB5SU1NJT0/vtu/egizoMnsUlUpFTk5OsgikoqKim+VktVpRqVRElUqq5s4lOGIEWXPnEmpvJzMzs1/n8fl8BINBiouDjBgR5M0305k3L5T8YLe0tMgtAoYo4XCY0tI6nnrKyiGH+Dj7bA95eXZisViytXJqairhcDg5Wq7rHWHX95zK5SKlrAyOPRaI38EFg8E9mpLYH2RBl9njGI1GxowZg8PhwOv1JtvrJlCpVIwcOTI+cECno+HKK0mprMT68svUO53drK3eiPvUBa+/vpnDD/fy/PMZeDzxrAchBNXV1bKlPsSIRqNs2bKF114z09Cg5i9/acBoNCQLhVQqVafq5P7GStI+/zz+w3HHEYlEqK2tTQ692JuRBV1mr0ChUJCRkYHD4SAQCFBeXt4pR1ylUpGXl8eoUaPwT56Mb8IEsubOxfTGGwSDwX6Pn5MkCbVayV/+4sblUrNypQmVSoUkSSgUini6ZJfhHDJ7L21tbbS3R3nxRQdHHRXlsMN8eDyeZOZUOBzGYDDg8/n6fUwRCuFYsgTGjkU65BDKysoIBAJkZ2fvtb7zBLKgy+w1CCGw2WwUFhYSjUYpKyvrNnE9JSWF/KIiyp55Bt/48TgeewyVz9frZPaeiEajHHJIGwce6Ofee7N54YV4S4qEJdfS0tJnBoTMnkeSJFpaWli92kp1tYKrrmoD6FQopFAoBhTwtv3jH4w55RTUJSUwbx6BcJhgMEhWVtZeb52DLOgyeyE6nS4p6j351PV6PWarFeeNN6JqbSVn1qw+uzJ2JRaLcvvtTszmKA8+aCEQ0CcfE0JQW1vbY+aNzN5BNBqlsrISr7edZ5+1cdBBUQ46KF6B3DHAGYvF+j2SULtxI44nngCbDVavhtNPT3bp3FvTFLsiC7rMXolerycnJ4dAIIDT6cTpdNLW1pa0vjIzMwkefDDO66/H8OmnpK1dC8SbfSXyy/ti7Fg///hHOZGI4NNP7cm2A5IkEYlEKC8vH5DlLzP4SJJETU0Nv/zyCx6Ph2+/LWDzZiUXXljTY6+WgWB94QViOh189BFMmgTEJx1ptdp+u/T2NLKgy+y1GI1GDAYDTU1NuFwuqqqq2LRpE36/H5VKRXZ2Ns1TphDKzsbx+OMQjeL1egfUh3q//QIUFgZ58EENpaVhHA5H8rHEHUJvAzpkdj9NTU20tLRgsViwWgt44IEUCgqCnfLN+0vCklc7neTNnEn6m2/iueACVLZtLrj29vZOzbf2dmRBl9lrEUJQUFDA6NGj2W+//SgsLESpVFJWVkZtbS1CCDRpadRfey26n3/G8tprCCFwu93Jgb8d6UnohYAHHqiirU3JkUem8eWX8UlHkhSvLgwEAtTU1MiFR3sBiTYNiZbLM2ZoKSlRM2tW9x7nQPJOrbdAZsKSz7r/fkyrVxMxmZBu2TZNMxAIJIeODxVkQZfZ69FoNCgUCtLS0iguLkan09HS0kJVVRWpqal4Tz8d7+GH43j0UZRbh6ioVKpuXfRCoVCPH8799w/wyitbUKth/nwD4XC4kwi0tbWxZcuWHuejyuw+GhoaiMViZGVlsW5dGytXqpk2rZFjj+0+jSo9PZ1AIIBard6uDz39tdcwfvghrunTKXnrLQyFhcnHEpkxsoUuIzNIqFQqiouL2W+//bBYLDQ3N2MwGqmdPRsRCJA5bx6wrate1xx1v9/fY2fFwsIQF17YzCefGPjgAwM6nS4ZCEvcmg9kRJnMriUQCNDc3IzVakWpVLJgQQSVKsaUKT3/TRJzQrcXA1E7nWTffTeeI4/ENWMGuvz85HsjGo3S1NSETqfb61MVOyILusyQRAhBVlYWWq2W1tZWQoWFuKZPx/zeexi//DLpXgkGg9jt9k7P7a3/9QUXNDBhQoibbspj48ZAUgwkSUKj0dDc3CxnvuwBYrEYNTU1KBQKlEol69ZtYuVKM5Mnu8nI6Gx9q9Xq5BdwX8FRy7p1CEmi8aabiKjVybTEROA1EomQlZU1OBc1SMiCLjNkEUKQn5+PzWZDoVDQOG0awfx8HHffTa7Fkhxm4Xa7+wyUCiHQ6yXuvz8+w3TJkgICgUDydjsUCiGEoLy8XBb13UxtbS3t7e2YzWYaGhr45z+t+HxKpk51ddtXr9f3O8sl5dNPCdtsKA86CNiWmujxeHC73TgcjiHlPwdZ0GWGOBqNBofDQX5+PlJKCrW33YamqorIZZeRuTVjJRAIdOtT3fU2OiECmZlhLr88xIoVKVRUaFCpVMnnGgwGJEnC6XTuhiuTgbgfu7W1lbS0NFpaWqiuVvPUUzYmTWpj/Pjud1ptbW39Oq597VrSPvgA75FHEo3F0Gq1SXdLS0sLSqVyjw163hlkQZcZFqSlpVFQUIDvN7+hYcYMjG+9Rcqbbybzh9va2jr5ziORSK+Vf1OmVKPRCF58MZe2trbkSDG3243VasXr9cpW+m7C5XKhVCqTsY+lSzOIxeDGG+u65Yb319etqq/HOnMmgTFj8N1xR6fUxGAwiMfjwWw279HJQzuKLOgywwaDwYBer6dx+nT8+++P9vrrKWBbULOr77yjAHQUe6OxncsuC/PaazqamkzU1cXFQ5IkUlJSEELITbx2A6FQCI/Hg0qlIhiM8e9/61i5Mp3TT28jMzOC37+t/bFKpep3RWjWvHmIaJT6Rx4hragISZLQarXEYjGqq6uHrHUOsqDLDDPsdjuoVFTPnQvRKNKFF5LVocVuR6urqakp+XPC357gvPPKUKng0UdzMRiMyQCpy+XCYDDQ2toqFxwNMonRgKtWpXDMMeO47roC8vJCXH11fae/o9lsJhKJ9KuaM23tWkyrV9N4xRXYDj+cpqamZFO2jRs30t7eTnZ29pCpDO2KLOgyw4q0tDSysrIIFRTgnDUL3ddfE124cFtVYC8f1HA43EnUbbYwV11VzxtvCB59NA8h4s9L3J5Ho1Fqamrk1gCDRCwWo7W1FUmCRYscOBxhFi6sZfnyUhyOSDLmkfhyValUff4tRCBA9n33ESwqwnvllclK0MSdWlpaGrm5uUOiCVdvyIIuM+ywWq3YbDZazjwTz9FHk3HPPVjWrwfo1JI3QSIDJjEQAeJB0ksucfHHPzbxyCOCv/2tiMQdfUNDA2azmba2NkpLS+VWu4NA49YCse++01NensKFFzZx3HHNpKRsuysyGAx4vV6EEP1yt5jfegtNdTV1t95K7ogRNDU1oVQqCYVC2Gw28vLykvGSoUqfgi6EWCKEaBBCrO+wzSKEeF8IsXnr/3vvTCaZfZL09HRQKKh+5BEiGRmY5s3DsnV0WNdgVygUSk6i6SjOSiXcdpuTO+9sZvVqDc88E+/xEY1GO1mF8qSjXUtTUxONjY3U1qq59tp8LJYIJ50Uz17pGOtISUlJtmjYHmazGaJRrC+/TPvYsWhOOYVYLIbP5yMtLQ0YOt0U+6I/FvpSYHKXbTcDayRJGgWs2fq7jMxeg0ajQa1WE9Vqaf7zn9H/73+If/0LIBkE64hta0OmrkiSxDnn1HLWWTGWLrURCqmSFn3Cb1tfX9/vgJzM9vH7/dTV1QHw6qsW3G4lzz1XisEQt8wTgW2TyYTL1T0PHTpXB5tMJtxuN7l33IF282ZcF1+MyWymvr4ehUKRdMH1d+rV3k6fgi5J0n+ArvW1ZwDPb/35eeDMXbwuGZmdJi8vDwDXWWcRKCrCeuedaLYGMruW/zc0NGw3s+GMM2rw+RR8/LE+uV+iAVgkEkm6CGR2nHA4THl5OQAtLUpWrTJzzDEeios7u8lSU1N7zTe32+2deu5oNBrUJSWYV62i8dJLaTvtNMrKyvB6vTgcDkKhEGq1usd2EEORHfWhOyRJqtv6sxNw9LajEOIKIcQ6IcQ6+U0vszvR6XTxOaRqNXW33oqmupr0Rx+FWAy/398pCOrxeFAoFN2yXRKMH9+GzRZj8WIHP/zQFD/u1m6MSqWStrY22Ze+E8RiMcrKyojFYoRCgosuKsbtVnLxxa5ORWFms7nXcXIajabbY42NjaSvWEFMpcJ18cWkpKSQlZVFcXExVquVYDDY7/75Q4GdDopK8Xdxr+9kSZKekiRpgiRJE3q7rZWRGQyEEOTl5ZGbm4vvN7+h9dRTsS1ZQs4DDyBJUrdClIaGhmSeeVeUSrj33iqqqzUsXJjRKcsiGo0SiUTYsGGDXHC0g1RXVyfbK7z8soXy8hQeeaSSww5rT7YuLigo6NUyT3wRdxR0hUIBsRimf/0Lz/HHo8jMpKioCKvVil6vJxqNyoK+lXohRBbA1v8bdt2SZGR2LWazGbVaTfV999F62mmY3ngDhc/XY8ZLNBpFkqQefepHHunhtNMifPKJkba2+CCNRKpcojBFHogxcNxuN21tbt56y8y0aQXMn5/FxIkejjnGm/ziFEL0OI4wgdls7jxUXKnE8vTTHHDwwahdLtTnn8+IESM6fYknisOGS0AUdlzQ3wQu3vrzxcCqXbMcGZnBwWq1glJJ0x//iCIQwLh6dTK42dEiT1iJoVCox057xx3XRlOTkieeyKClRRAIBNDr9cRiMQoKCgiHw7I/fQD4fD4qKytZtcrMrbfm8s03eozGCHfcUdtpv56EPBHI1Gq13Sp30//xDzIXLEj+rj/nnE5inoh7pKamDrkGXNujP2mLLwOfA2OEENVCiGnAA8AkIcRm4MStv8vI7LWkp6cjhKD94IMJjBxJxgsvdHrzdxR1hUJBW1tbj8Gyww6r54QTIixebGfSpGL++99UNBpN0jo0Go00NTXJ/vR+kPCbe70KFixwcPDBfj77bANvvbUZh6NzkVBPbrBE8FMI0en11m7YgGPhQlpPPZXN//oXkTVroEOxUCwWo6qqKjksYzjRnyyXKZIkZUmSpJYkKVeSpGclSWqSJOm3kiSNkiTpREmS5M7/Mns1yf4cQtA4bRrakhLU770HxK0/i8WS3DeRGldZWdmt0ESnk3j88c18/XWY7OwIM2fmU1HhRalUUl1djcFgSOY4y2yfRHri4sV2mptV3HJLLXp9DIulexfFhJ+7J2HvOB5QFY1S8PTTRNPSaLvvPopPPBHVCSd02r+hoQGfz0d2dvaw8p+DXCkqsw+R6G/dNnkyodxcbM88A1stO7/f363FrhACr9fbrRQ8Go2Snd3Ic8+F8PkUPPxwFoFAPDCaqDW79IMAACAASURBVFz0eLqPRZPZRjAYpLy8jQcfzOT55zM455wW9t8/HlDuKtoqlSop2tu78xGxGGP++lfUq1fTePnlGDtMIEoQjUZpbm7GZDLFi8+GGbKgy+xTOBwOUKlonDYN/fr1pH7+ORC38nJzczuJiSRJBIPBHsvBm5ubOeAAmD69mddfN3HXXUVIUrxNr0ajkZt39YIkSVtntJYyc2Y+L75o5ayzWrj11ri1rlAokl0tE3Qt2uqtrW3+smWITz6h9cEHaZo2LVn925G2tjZisdiQ7abYF7Kgy+xT6PV6/r+9Nw+PrCzz/j9P7fuWyr520hsioIAL4MLAMCK2gAqKG6P+HBgdZBxBRVsQd3EGlHEU38YFBAdkBnEABUVRfFXEX7vgCL2ms6dSSVVq35fn/aPqHKqS9EJvSaefz3Xl6qpTJ5W7nnTu85x7+d5ms5nsJZdQamuj7fbb9ddCoZAeemmsRx8bG1ty4tHY2Bif/GSeq64K8z//4+S++wJ1qdeCLg+gqFEul4lGo4yOjjI8PMkttwR56ikXH/tYiE9/egq7vbaT1sbM7avzduEuXWSztN9yC65bbqH61rcSet3rcLvdSzYLabrqqy3UoqEcuuK4QgiBx+OhKATxd70L59atmCcmAEin03rFQ7Vabap+EEIsuTOMx+NcccUcr351gS9/uYOZGYkQAoPBQCgUWrI08nhDSskPfxjis58t8YMfmLn00iG+9a1WLrwwxpvfPI/D4dAdeLlcxmazLTn3dW8DLLruvJPW73wH/u7vCN9wA5VKZdEcWY1cLofdbj8mh1ccCMqhK447PB4PUkrEJZfUnv/iF/pr0WhUD7Fks1ndqRcKBToadNU1pJQIAVdfPU4mY+A3v2lBSkm1WkVKyZ49e45bnRcpJZFIhCefnOa97+3kK1/p4Npre8jlDHz966N87nNTGI00DaoAlkwoGwyG5nUslfA98ACdn/0s3m9+k9zFF1N96CHmKxX8fv+SO3CtkWg1lSku5MBmNikUqwiHw4HdbmcGcK1bh/cnPyH6zneCEGSzWfr6+kgmk4ti4HsTgzIYDKxbV6C7u8j//b8eLrssRaFQoFqt6qGG9va9qmOsWpLJJDMzM9x0UzfFooE779yD2SxZuzaP3V4Lm9hstlo5aS63qPywkYW/i46vfIXgd79L1WIh98pXYv3a1+r66c0VS42k02mARcnv1YTaoSuOO4QQdHV1ATD/pjfh+Mtf8Dz2mB5zHR0d1Z1CNpvVb/VLpdKSt/01HXU499wcTzxhQQgX1WpVr46JRCJLhhBWM1JK5ubmmJ+38+Mf+3jjG+c544wKJ52U0525wWA44AoWTRXRYDBAuYzv4YdJnHsupUQCx2OPYezsZH5+HrvdvqTDrlarzMzMYLVadcnc1Yhy6IrjErvdzoYNG5h/y1vInXACXZ/6FMa60l8+nycSieiJ0UZnvK/wyWtekySfN3DllS6+/vU2RkdLetXG3nb3q5W5uTny+Tw/+5mNcllw+eXZJhVEqKkmarvmfdHV1aWve7VaxfmHP2Can8d0+eVYbTaklExNTVEoFPa6O0+lUpRKJdrb21dt/ByUQ1ccx5jNZsx2O+M334yoVmlvaBWH55Jwra2tBzRR/qSTEjgcVX72Mye33dbGBz7Qgd1ei9fOzc0dN4OlZ2dnmZ2dxWKx8NRTLjo6ypx2WvOu2GQyHVDzldVq1TtvNUfs/clPkE4nznoOJBwOE4/HcblcS46P0y6oZrN5Vem2LIVy6IrjGpfLRam3l/lLL8Xzs59hqVe8NM6onJ2dxWAw7HdnJwR86UsTXHNNmhtumObppx3ceadVT7KGQqFVLwmQy+WYnZ3FbreTzxfZutXFeecZicebL2aBQOCA6vSDwSCFQuG5+Hq5jP/xx2HTJnA4KBQKeiJ7YGBgSfnj6elpcrkcbW1tq3p3DsqhK45z2tvbMRgMRN/2Nqp2O/1XXolpbo5yuTaIWEtmFovFps7Cxh270+nUH599dpp3vWuU97ynwplnpvj859uZnnZitVqpVqtMTU0dvQ93lJFSMjk5CdQc+09+0sL8vJFTT51pas93uVzMz+9fLcRsNuvrpV0Ie7dvR0SjiDe/GahdbIUQe006J5NJYrEYwWBwVXaGLkQ5dMVxjclkYt26daw9+2wmvvUtzJEIfR/8IKK+e0ylUnrXYuOOslwu68cbQwdSSgwGA5lMin/7twhCwM03V/XvjcfjBxQ3PtbI5XKMjY3pcfJ0upsvfKGVk0/Oc8450aZz7Xb7AZVyandIGiaTCe/3vgft7bBpE/l8nkQiQUtLi540XUgsFsNsNh83VUbKoSuOe8xmMyaTidZNm5jevBnHX/6C64kngFqVi+a4U6lUU8fo3roNq9VqXclPsGlTnPvvD/DFL7ahXQ/GxsaadqzHOoVCgT179ug6NlNT67jgAi9CwJYtWRqjIGazuWlIxd5CIA6HY5EC5uDMDPzoR/AP/0CuUmFychKDwdCkXV8sFvVmLikl2WwWp9O56kMtGsqhKxR1HA4H8de9jmJnJ23/8R+YZmaA2m071KpdtKYUIQTJZHKfJXDpdJobbkhz0UVx7rjDz+23t+ux4LGxMebm5vY6gedYYnp6Wg+JOBwtXHGFFb+/wt13j9Lf39wpWyqVmrpnl2ry0UoZG/MNfV1dWN77XhgYIP7e9zI8PEypVKKnpwej0agnPnft2qUPwigWi1QqlaaQ2GpHOXSFoo4QArffT+jjH8c6McH6Cy7Af999Tedo1RRSSr3yYl+7P6+3yo03TrFpU5477wySTtfOLZfLhMNhJiYmiEQix6yQVzabJZPJYDabmZ62s2lTO+PjcMMNU5x0km2/ejZLhV609W187nzkERgepvyv/8p0JoPD4WD9+vV4PB4KhQLT09PMzMxgNpspFArkcjld8XI1d4YuRDl0haIBj8dD6uyz2XX//WRe+lK6Pvc57H/5S1NCrdGJp1KpJcfVaaTTaSwWM2972zSplOCHP2zXG5h8Ph9Op5OZmRldG/xYolqtEgqFMBgMZLMlPvKRPkIhwd135zjttDTpdHqfsXKr1do0pEL7d+Fc1p7ubsQtt8D69cyfdRbVapXu7m6MRiO5XI5du3bpic+hoSGEEITDYSKRCA6HY0lhtdWKcugKRQM+n4+WlhZKvb1M3HwzVbsd//33k06n6e7uBmpOvDHUMjc3t6Syn0apVOKkk7Kcd16RW24J8LOf1RQfk8kkwWCQYDBILBY75pqP5ufnyeVyeL1e7rmnhaefNnP77XD22fMIIXRnvrc7mIWNRlArZ2x06GazGdOTT8LWrch/+RcSqRQOhwOr1YqUUr+g9Pf3095eu1i2tbWRyWQol8vHRaliI8qhKxQNCCHo6OjAYrFQdTpJnnMO3sceo1xPjmrx2Ewmo7eYSymbukkbtbwb+fSnRznxRLj66n5uu81HoWBmeHiKYDCIx+NhZmbmmBqMEY/HsdvtZDJFtmxp4/zz4Q1vkCSTySXrwRsxm81NsW0p5ZIXRa/XC9/4BgQCxC+8sEmfPpvNks1maW9vx+126447GAzS3d3N0NDQqm7zXwrl0BWKBTTWNade9zqMqRSu3/yGSCSih1c04S2ojbdrvK0vFApLdpa6XEXuvXeCt7ylxK23tvPylw/xhjes4aSTYHi4B6vVyvj4OHNzcys+ph6Px/UB2U88AYmEkfe9D9LpFJVKRb/A7U1wKxgMLpIW7qzrsTTS4nTCQw9RvugiQvE4DocDv99PKpViYmICo9G4qL5cCIHf71/VIlx7Qzl0hWIJvF5vrZLlpS+l7PXifeQRkskkpVIJo9GIwWDQH1cqlUXDhsvl8pK3+sViks2bd3DddVnOOCPN1JSZ7dtNfO5zgoGBAdxuN+FwmJl6hc1KJJ/P6yWDyWSSX/7Si90uOeusHOPj4wcU4nC5XE115m63m0Qi0eT8LRYL5p//HNJpwmedhRCC3t5ePUYuhKCvr2+/dwPHE2olFIq9YLfbwWwm/ZrX4P7FLxCFAlNTUzidTn0Hre1Ek8nkIqe+tzZ/IeCKK8Lce2+WRx7ZyZVXzvLznwtGRsz09fURCAT0+PRKQvs82i5aSsnOnRZ+8AM/F10kyOfnm85b+FjD6XQuqn5xOBxN4SbHn/5EMByGzZsp9/YSP/VUent7MZvN5HI58vk8wWDwuCpJPBAOyaELIf5FCPGMEOKvQoh7hBCrc66T4rhEi9WmzzkHYy6H449/BJ6rS28Mq2jljBr726VmMhkymQwveUkXb37zPEJI7rqrliRsa2vDZDIxOjrK3Nzcioirz8/P88wzzzA6OkosFmN+3sgXv7iRCy9cg9cLn/lMing8fkC780wmw9zcnP7c5XIxNzenh63M0SiDl19O4FWvgmefZeqjH8Xf3o7L5aJcLjM+Po7BYFhSiOt456AduhCiG7gaOF1K+ULACFx2uAxTKJYbj8eDEILEi19M1WTCVR8oDYtH0kkpmZ6e1tX8pJT7TchpQx1OO62TF784y2c/a2XLlgomk4k1a9ZgNpsJh8OMj48vq556tVrV1RMzmQxSSu64o527764lMT/96THy+TG9Nn8pGnfSC5OfuVwOo9Go3/X477239sI55zB3xx2kzz5bz13EYjFKpRL9/f0HpIB5vHGoIRcTYBdCmAAHMH3oJikUKwOTyURfXx/S4SB76qm4f/UrqDssKSWlUklv/zebzWQymaYKl6WSoyaTqcmhRSIRvF4v7353LZ585ZVGfv/7ElarlaGhodrPl5LR0dEly/yOBolEgnK5jN1uR0pJPu/lvvv8vOENkv/5n12ceWZ6n2Wbbrdbv9AZDIami5PJZKJareqa56JQIHDffZQvuID8j35E+LTTCAaDmM1mpJTEYjEcDocKteyFg3boUsop4N+AcSAEJKSUPz1chikUKwFtenzyb/8W2/Awtu3bm17XHFmpVHPCyWRSd15a0rSRcrlMMBjUn2cyGfL5PP/0T15+97sd+HxlzjrLxFVXRcnl8rjdbux2O7lcjuHh4WUR9orH47oGi9fr5dZbeymV4OqrQwwOFujt7d3nHURPT48ed1+YwCyXywQCAZLJJLZnnmHDeefVhldccw2xWAwhBC0tLUAtGVssFvVQmGIxhxJy8QMXAWuALsAphHjHEuddIYTYKoTY2hg3UyiOFXw+H4kLLqBqNtPy/e83vdbYBFMoFCgWizidTn1nXigUFjmxcDjc9HzPnj1UKhVOPLGbe+6Z4bzzEnztay2ce26V6ekqAwMDrF27FrPZzOjoKNPT00clBKPtiDOZDEajESEEoVAHd98Nl18eoa0tTmtr6z5LLJ1OJ8lkUi9RbOwc1dbI5/ORTCbp+PKXMcViFF73OuTZZ5NIJHC5XPp5Wi7B4/EcqY98zHMoIZe/BUaklHNSyhLwA+DMhSdJKbdIKU+XUp6+rxZphWKl4vF4qHi9xN7yFvz334/n0Uf11yqVil7GqDE3N8eaNWv050s5PM1Baq+Pjo7icrl4zWu6ue22FB/9aIinn7bxyldWePxxAzabjcHBQb0CZs+ePYvkZQ8XmUyGsbExRkdHmZqawuFwkM/n8fl8fOpTJjyeCu9/f5r169fT3t6+T72Wmvri0hrwBoMBq9WKwWDA/Ne/4nrqKULXXIP87/8mXg/zNNaYp1Ip7Ha7ip3vg0Nx6OPAy4UQDlH7n3kusO3wmKVQrBwcDkdNr+TGG8meeio911+/yKk3Ou1KpUIul1uk8dIYKqhUKk0JxHw+z/z8PJVKhb6+Hq6/3sM3vjFJsQgXXgi7d6f1WPPAwAClUomxsbHD3oBUrVaZnJwklUqRy+Xo6OjQ8wTbt7fy4x8L3v3uOTZsaMdkMlEul/c6Ss5isZBOLx1fF0LodzOjo6P4H3iAqsVC8tJLsVgszM3NYbPZ9PCVtqbHW+fn8+VQYuhPAf8N/BH43/p7bTlMdikUKwYhBG63m1ShQOJb36KwZg19H/4wzoaqF2iu5JicnKRcLjft3OPx+CIN9cbXp6en2bFjhy75+sY3trBlyyilErzpTQbOOKPMVVdJhHDR09NDPp9ndnb2sH7WcDhMqVRizZo1bNy4kWKxyPz8PD6fn+uvt9DeXuY970nrXZjj4+N7fa9qtYrVam0KD2mfV0sez8/PU85k8P74x6TPPRdbR4ceugoEAvpdTDabBVDJ0P1wSFUuUspPSik3SilfKKV8p5RyedLwCsURpqOjo5YctdvZc/fdVNraCN55Z9M5mUymqbkoFos1DSUWQmAymfD5fLpjW7jDllIyUZ9r6nK5OPPMNv7lX2aIxUwUCpKvfx0+/OESHo8Hr9fL/Pw8+Xz+sMwqzWQyRKNR/H4/TqeTRCLB/Pw8RmOAzZs7efJJuPLKMF1dvno8PaQ72qXQKmM0DAaD/nm1ih2Hw4H3kUcwJRJEL74Yh8Oh1/k3xsozmQxCiONKCvdgUJ2iCsUBYDab6erqolQqYXG7ibzlLbh/8xtsw8NN58Xj8aZQS2O3p5SSdDpNqVSio6MDqO1UF4YRMpkM09PTFIvFekljjF//eoYnnsjztrfF+cY3TPzxj3laW1uRUrJ792527dp1SInSSqXCxMQEFouFjo4OstksoVAIh8PBzTd38r3vGXj727O88Y1xfD4fpVKJaDS61/ez2WwYDIamqpzG2LeUkuCPfkTLP/4jrd/8JoW1a8mccQZ2u51EItGUWK5UKiQSCex2u2rz3w9qdRSKA8TlcuHz+SgUCsxfeilVq5XAXXc1nZPL5fT5llqceCmHHYlEMBgMFAoFPB7PopmY8/PzjIyMUKlU9LI+k8nEl77kxG6XXH11idHRNGvXrqWjo4Niscjs7OxBOfVYLMbu3bspl8v09PTo8fl02swf/tDHt74l+NCH4IYbJvH5alUnCxOdjfX3JpOJQqGA2+1uqmppFOMyhcO0b96M97HHMM3NEbv+egz1WPvC0sRIJEKpVDpu5oIeCsqhKxQHiBCCrq4uLBYLsqWF+EUX4XvoIYwLFAJDoRAej0cPg2idkI00Ot7p6WkCgcCin1cqldi9e7eu5jgxMYHbXeDDH87w29+6ePvb7Tz4YIZf/7oFu91BNBpl27ZtixQL90UkEmFqaqquMNnB449XufHGGJ/6VAfnnruWN7/ZRF8fXHddQb84RSKRRfXwjU1PNpsNKWXTRWrhzrpzyxakwcD8ww+z8+GHSb785djtdmZnZzEYDE3hllQqhdPpVPHzA0A5dIXieWAwGGhra6NarRJ9xzswFIsEFtSma85M25lXKpUlpVyr1ap+PBwOL+mwtFF15XIZk8nE2NgYl1wyxkc+EuaPf3Ty5jcHeMMbBI8/7qSjo0N3ivurfpFSMjU1xczMDB6Ph9/+tp+zznLz+te7uOmmTn76Ux9/8zeCG26A//zPMul0rXbe4XDsVwlSk9Vt3JE3OnfX/DyeH/yA7DveQfqkkxD1O4xSqUQ2m9WnEWmfP5/PK2d+gCiHrlA8TzweT632/AUvIHXmmfh/+EMsY2O03nYbop4kjEajTVov6XS6acyatkNvdFRa4k+jMVRTrVb1C4XH4+GjH23DZpNs2JDDaq1y7712hodT/PWv7cRiVcbGxhaNcmskkUgQi8Xw+/3E416uvNKMlPDv/54mHK4yPy948EG49toUPt8Okskk7e3tizTMGzEajXopY2trq94IZDQam3bwvh//GFEuY/rIR8jlcvrFp1gs0t3d3SS6pZVEqnLFA0NV6CsUzxODwYDP5yMajVK87DLcV1/N2je9CUOhgCGbJXzNNUAtVOBwOMhms/qgh5aWlqZkYiaTwePxkE6n6ezsbIpNp9NpzGaz3kCkxaNLpRLJ5LNs3dqCx1Plk5+0cMcdQc45x0k2a2TTph6+8IVxdu/ejc1mo7+/n2KxSKVSqVetGPX68AcflGzeXLuo/OQnBgYHXU0/f3x8HKvVit/vp1Ao7LOqRbtI+Xw+TCaTHnLSukWhdjGzPvQQxRe/GOPQEKUdO/Tv7+3tXaSgmEwmMRqNx+WwioNBOXSF4iBoa2ujWCwy87KX4W9podjZSaGzk+BddxHftInChg0ATU4tnU6TyWTw+/3EYjGgFl/XYs5zc3MMDAxgMpkYHh7WBcAWYrFY6hOToiQS8I//aCCbNRCNOkmnczz8sIef//wFvPSlac48M021GuHRR738/d/HGRysMjSUJpMx8OUvt/PQQ34GByv8x3/AmjUm/WJTLpeJRCK1IRNm8wENsRZC6NVAjXH8xrsO+44d2J99lupNN5FquDg4nc5FzrxarZJKpXTVS8X+EYejfvVAOf300+XWrVuP2s9TKI4kUkpGRkYoR6O0Dw0xvW0b617/eipuN1Of/jTZ004DagJf2o64XC7T0dFBJpNp0jl3uVxkMhm9xT+VSu2zaQdqjl1zgppOUjbr55JLOjnhBMEzz8DU1GJH+PGPT/OLXwT5/e/NnH9+hRtumGHDBjfRaLRpB2632wkEAkxNTdHa2ordbiccDi+p+qgJiPX19eF2uxkeHtZDPtpUJ4C+D3wA15/+hGF0lOlsVnf8nZ2dtLS0IKUkm83qXaZTU1P09/c31fMfjwgh/iClPH1/56kdukJxkAghaG1tZSybJVcsYu3sZOJf/5W+T36S3o9/nB0PPwxmM9VqtampZmZmhp6eniaHrlWN5HI5YrEYgUCAgYEBRkdH9XN8Ph/ZbFaPY2vdlCaTCSEEs7OzOBwxfvrTFEajke7uPhIJK+l0jmy2yFe/6mR4uMrnP98FwO23S84+e5R8Ps/ERByj0UhXVxcejweDwYDBYGB8fByj0UhbWxtSSiYnJxetg9lsxmq1UigUcLlcxGIx3Zk35gvMMzN4fvlLqp/4BPh8ZBrE+rRcwuTkJIlEQj9ut9tV/Px5oJKiCsUh4HK59FK+arVK5mUvY/JjH8M8PY33sceAWpx8od6LtusFdIesEQqFdOfY1dWlH4/H44vG3O3atYsdO3ZgNBpxu90YDAbK5TKFQoHx8REghMsVp6Mjzxe+EOOBBwysX1/kjDMKXHxxrcs0EAjQ29tLf3+/Hv/WmoKSyaQukDU6Oqp/hsYyxJ6eHpLJJHa7nVQqxfT0c2MRGs/zPvJI7di73kW1WtV3+gaDAYvFQiKRIJFI6JLFFouF7u5uFW55HqiQi0JxGEgkEkxMTNSqPIpFTrjgAvInnsjIzTc3naeFJqDmyLQdbFtbmz6WDmq13GvXrgVgeHhYn25kMpnwer1EIhE90drIunXrSKVShMPhvcoBlEo1B2k2Sz3pqr2X1Wqlvb1dl+o1mUwMDQ0RjUYXyf5qn2FhMlerdFnI4Fvfis1qxbB1K9lslj179gC1O49cLkehUNBDTlJKfX0UBx5yUTt0heIw4PV6aW9vrzkyg4HEmWfiePJJWJDUzOVy+uzMarWqhyNq4RKH/lo+n2f37t1UKhV9IIaWJNUmIWlfjczOzhIMBhkcHMThcOhx8NbWVv3cmiOvOftSqYTZbCYQCNDS0lLf2Y8zXJc06OvrI5fLLenMoVaXHolEgFqsvL29fcmKFGMigf2ZZzC8/vUATeEmm81GoVCgpaWFwcFBDAZDk7yw4sBRMXSF4jDR2tqKw+FgZGSE9JlnEviv/2Lws59l5LrrkA1OTouBWyyWprruubk52tvbKRQKxONx8vk84+PjWCwWfeamlLLJGVqtVsrlsp54TCQSFItFTCYTNpuNQCCgKzy2traSTqf1+HipVNI1xw0Ggz4HVUpJoVDA5/NhNpuXjJtraLF/IQRDQ0NUq9Ulnb/zqacQUsJ55zV9n8Ph0MszOzo6lBM/RJRDVygOI06nk0AgQPzMM8mcfjqOBx6gd36e8VtvxdBQmy2lpFgsEgwGm8In4XAYn8+nO3stDKPVrzudTr0BSUqp7/AbpQQaBcHm5+fxeDw4nU6MRqMuerWU49RkgqWUOJ1OotEoiUSiqaqlsS6+kZ6eHl2eYKlQUPuf/wxuN7zkJcBzk56cTidzc3O0trYqZ34YUA5doTjMaAOPR77zHVruvpvOm26i5bvfJfae9yCl1JuNoKalosXVNUe41AQgbQycFpvWHKbFYiEQCBCNRpuc+nO16mWSyaTe2APPJSG1nXxraytWq1UP90xMTOx1aMVSTtfn8+H1esnn800VKjqVCpZHH4ULLoD6BUGzP51OYzKZmuasKg4e5dAViiNAd3c3mUyG+Xe8A+eTT9K2ZQvRd74TjMZF3Za5XE7fqcNzTnPhRCOo7cS9Xi+ZTIZyuUw2m8XpdLJx48baRWRkhGKx2BTKMRgM+kVEq4LR3q9YLO51RFwjWlx74ftWq1WCwaA+Rm8pvM88g5ibgze+EaCpazSXy9HZ2bnkVCPF80clRRWKI0CtDrwbCeQvuQRjKoX9mWeAmiNbKDaVSqVoa2sDao5cq/JYSpQqkUg0ydXOzc0RiURIpVKsXbuWQCCA0WjUE4vVapXOzk5e8IIXsGHDBvr6+ujs7GTDhg10dXXpcz0X0nisWq0uCrVUq1VaWlqw2Wxks9klK1sAWu++uxZuee1rAfQ7EO0i0Tg3VHFoKIeuUBwh3G43NpuN5EteghQC129/C9Qc9sLB0oVCgVgsxsDAQNPw6MbyxUYWdmuGw2Gmp6cpl8t0dXVxwgknMDQ0pP+M3bt3Mzw8zMTEBA6HAyEEpVKJQCDAunXr2LBhA93d3bhcLgwGAy6Xq6lufuHoOEAfhgEsHWoBAvfcg+2RR+Daa8HtplAo6DF+TetdDa04fKiVVCiOEFonad7lInfKKfgefBBR3+Umk0m9nV0LN5RKJSYmJujt7aWlpQWoqTbOz88zNDTUJEHbuBtujGvv2bOnKb4+NDSEz+dDSkkulyOZTLJ9+3amp6fZs2cPk5OTVCoVjEajFmyyvwAAG+5JREFUPlHJ5XLpVSiNo/LsdnvThaS3t5discj09LSuTdNI649/TNfnP4987WuRH/oQk5OT7Nq1q+kc7XMqDg/KoSsURxCv14vP52P2iiuwTkzgv+8+/bVEIoHf729KZlYqFcbHx5FS0tbWhhCC+fl5pJSsWbNm0fs7nU6klPT19QE1Rz81NaU7fIvFQk9PDyeeeCLr16/XQzhGoxGXy0UikWDXrl08++yzeofnwgSqz+ejtbV1kTO32WyMj48vOVDDOjxM6403UjjjDMSDD5KuJ3sba9TdbveiOnrFoaEcukJxhOnu7sZy4YWkX/Yy2v7P/8HcUFaYTqebVAa1Xfj8/Dy5XE5v/R8ZGSGfz9Pb29v03lo1ysTEhB4OicfjbN++nbm5OdLptC7fa7FYWLNmDf39/ZhMJr3+u1wu6+EVrWZdY926dXR3d5PNZvVzjEYjHo+HeDxOoVDQ7xAaP0fnF75A1W7HcM89YDIRiUSahn4ATWPmFIcH5dAViiOMEIK29nbCH/oQplgMT33CkRbHTqVSesmglni0Wq2kUimKxaKe3BwfHycejzc1C2lozUCNhMNhRkdHGRsbI5VKMTIyootftbe3Y7PZ9J28yWRaNIS5tbUVo9FIJBJpKmNsaWkhm83qDURSSmw2mx5HF7kczj/8gfLb3465rsWeyWTw+XxNu3klunX4OaT7HSGED/gm8EJAAu+RUj55OAxTKFYTJpMJ16tfTfaUU+i8+WZEuUzkPe+BeulfsVhs6hwtFAq6M/V6vcTjcRwOh94lajAYsNvt+uCKpZp5NCqVCmNjY03HGmvdzWYzBoNBT1ZqzUM2m43du3c3TT6yWCxkMhlmZ2f1Y0KIpnMcf/4zolzGVq9q0Zy41WrVw0t2u12VKh4BDnWHfivwqJRyI3AKsO3QTVIoVictLS3E3vQmADpuvZXgHXfo4+y01v7GBKfm/BKJBEIIstms7gSr1Sq5XA6n06lXpWzcuPGgdr2aPoz2s7W7hImJiUVj7IxGo96pqt1VwAJVxd/+FoxGeMUrKJVKRKNRvXZeQ+3OjwwH7dCFEF7gVcC3AKSURSnl4hY3hUIB1Hbppbe/nZHvfIfk3/wN7V/9KsUnn8Tj8ehCXY277MZdt6aEaDabaWlp0R1iMplECEEqldKnHGkYDAasVusBt9TvS3nV7/fj8Xj0XbxWK6891uLr1p078X/ve3DppeB26wOl29ramjRojveBFUeKQ9mhrwHmgO8IIf4khPimEGJRF4QQ4gohxFYhxNa5BkF7heJ4xOPzkTn9dCY/8xnKwSA9119PIZtFSklnZ2dTFYiUUnfGLS0t+i44Go1itVr1qhdtJ18qlZp2wVoox2AwNMXctTuCA6W9vZ3u7m56e3vp7e1tEvdqqlIplej5xCeQPh989auk02kSiQTBYBAhxKJ4veLwcygO3QScCtwmpXwxkAGuW3iSlHKLlPJ0KeXpmqC/QnG84vP5ajtyr5fQNddg27UL6z33ALVu0YGBgabuUG0nrNWUDw0N6dotqVSKwcFBAoGAfv7C3bgm4NUYOtFi7mazGa/Xq9e9WyyWpjCK1+ulra0NU71KJZ1OU61W9a+FcfvA/fdj37YN+bWvUQ0ECIVCmM1mWltbmy40Xq9XCXEdIQ56wIUQogP4nZRyoP78lcB1UsrX7e171IALhaK2c962bRtGg4G+yy7DHAqx6+GHqTocuN1uent7EUKwe/fupsqVvr4+PB4PUkrGx8f1EIbFYqG3t5fJyUkKhYKugR6JRJq+X9NeaRyHp6ElZLXXGgdx7I3Gc0SxyPrzz8e4YQOGX/2KuUiEcDis27xz506KxSJms5m1a9eqhOjz5IgPuJBSzgATQogN9UPnAs8e7PspFMcLWoWKyWwm+vGPY56bo/3b3wbQY+GFQoHBwcGmnez4+Dhzc3MIIejv72fDhg0Eg0HK5TITExMMDAzg8/kolUrMzMzQ39/PCSecwODgoK4T09htqtkCz2m0a45eS7hu2LCB9evXs3HjRr3UUUNz5l6vF+dTT2Gem0Nee63uzD0eDx6Ph3K5rL9/X1+fcuZHkEOtcvkA8D0hxF+AFwGfP3STFIrVj8fjIZ/P4zn/fGIXXkjg29/GXB8kUSqVCIfDGI3GRTou4XCYaDQKoA+F6Onp0Wu9u7q6GBgY0NUPo9EokUiEUqmE2+1uaiLS9GS8Xi9er1d3tAMDA/qX2WzGYrHoMrsL7+i9Xi/VahX3L39J1eFgZ18f4XAYt9tNT08PgF7iqGLnR55DcuhSyj/X4+MnSykvllIuFnRQKBSL8Pl8eili+uMfBykJ1mPpWtVKpVLBarXqAlgaoVCIUCikJ0PdbjdWq5XJyUmeffZZpqamMJlMFItFZmdnSSaT+gBmzSFr2i3lcplEIkE2m6VSqdDb26sPvl4Y59bmfgJ6MjQQCJCZncXz85+Tf9WrkFYrg4OD9Pf361OQNJ2XhZ9DcfhRnaIKxTJgMplwu90kEgk8GzeSOP98fPffjyGd1h11KBTSpxU1qhxCrdJl+/btelt/d3c3fr+flpYWfU6o3+/XyxsXxsxNJhMej4fe3l6CwSAGg4HW1tam9v1GFjYnaYM6SqUSrV//OuZolJm3vpVAIIDD4Wj6Hu0i4vF4Ds/iKfaKUsZRKJYJr9dLMpnEZDJh/OhHMT78MP4f/pDoO94B1Lo54/E4a9euZd26dYyPjzcJZ0kp2bNnj65Y2NHRgdFopLOzs+nn5PN5pJRks1ncbjcjIyMUCgU9nt7e3r7P3XO5XGb37t162aHBYKBSqdDq95P6z/+k8667SF92GdlTT6WnXnFTqVQYHh7WY+c2m03J5B4FlENXKJYJLayRTCbpfMUrqJxxBq233451zx5yJ5xQ6yo1GJidndVrwBurW2w2G/l8Xo+pR6NRfD4f3d3dTeESLZGpxa+HhoaIRqPEYjEmJiaw2WwMDAwsqXy40JlDzaF7tm3D8b734f71rym3tjL5gQ/oCdBcLsfs7CylUkkfXq0aiY4OB122eDCoskWFopmRkRHK5TLr1q2DbduovuY1MDODoVRi5p//mch73wuAw+GgpaUFt9vN2NgYmUwGi8WC0WhcpMFiNpv12PtCEa9GpJQkEgmmpqawWq309/frsfV4PE4ul2vSfDEYDLWQzpYt9NxwA1W7ndC111K99FISQjSVQ1qtVux2u/79/f39yqkfAgdatqh26ArFMuJyuQiHw5TLZUwnnIBhxw7Cs7PY/uEfaPv613E8+yyZk0+mcNppTJx0Ep2dnQSDQTKZDKVSSW/vLxQKugaLVsmyZ88e+vv7lxxjB7Xkq8/nw2QyMTY2xo4dO/Zpa2trK7Gnn2btZz5D+uUvZ/wrX0G6XHqM3Gq16tUylUqFmZkZvb5di6srjizKoSsUy4jmbNPpdE0f3G6nra+P6S9+keqnPoXrd7/D89hjSCFIXXIJc1ddxcBZZ+m17Nm6bIDD4aBQKOh6MFpidWRkBIfDQXd396LEarFYJJ/P43K56OrqIpvNkkwmqVQq+m4fajF2g8FAKBSi57bbAJj69KepOp1Qd+ZaA1G1WtXvILThG89XakBx8CiHrlAsI3a7HZPJRDKZ1Ac+CCHoOOUUdt10E6FyGeP8PC23307gv/4L56OPkn7kEdx9faRSKdatW0ckEmF+fl4PszTG1QGy2Sy7du3Sh053d3dTKpX0cXVLSe9qzryjowO3282unTvx/+pX+H7wAyKXX06psxOj0UhbWxtut1uXDJiZmdHr4b1eL9u3b2+SJlAcWVTaWaFYRoQQeDwekskku3bt0nfWRqORnp4eqoB3/XpmP/Yxdt9/P9Jqxfrud+OrD3FOpVJ0dnbS29tLpVJhamqKYrFIT08PJpOpKTmqnb9jxw7Gx8cRQuByubDZbLjd7qZzjUajXgYZj0bp3ryZ7quuotjTw+z73w/UGpA0DRioTU+an58nEAjU6tMzGaSUSir3KKJ26ArFMqNN8ikUCoTDYX3snMvlwul0EolEarHo/n6mPvEJ+j/4QZLf/jb2iy9m9n//l1I4jGnjRvrWrSOTyRAOh5FSsn79egwGA/l8nj179ugJSymlvgPXhkFrOJ1OOjo6mjo6TTfeiP+hh4hfdRXT73wnVYcDu93edE6lUmFychKLxUJ7eztQk/bV7goURwfl0BWKZcbhcPDCF76QUChENBrF7/frzrKvr49oNKq3z6fOOYfc+vV4v/pVCr29rLn8cgyFAlWzmbEtW+i87DJMJhNTU1OEQiG6urqw2WysXbuWRCKByWTSZ4FqEria1npfX9+iOHvh17+m5fbbmb/0UqavvBKTyUS1XF7UgKSVKQ4ODmI0GonH4yQSCbxer6o/P4qoskWFYoVQqVTYtWsXQgjWrFnTJGU7MzNDJBLBbrdjfvxx+q64AoBqezuGO+5AfvCDVGZmGL33Xjpe8QrS6TSRSASj0UhrayvBYHDJn5nP50mn0wQCgcWOt1wm86pXYd22jZ2PPoo1GCSXyyGE4IQTTtDPL5VK7Ny5U6+Bl1KyY8cOzGazPpBacWgccbVFhUJxeDEajfT391OpVPQBzBrt7e0Eg0EKhQLJM85g9sorSZ9xBqNf/CLJM89EPPwwRqOR7s2bmRgfJ1B/L5vNxszMjK7Bool4FQoFcrkcVqtVb/0nkYALL4TrroNbb6V48sk4n3yS2auuwhwI6PXuHR0derdoLpcjGo0ipUSbd5DP5ymXywQCAeXMjzJqh65QrDCmpqZIJBJs3Lhx0a65XC4TDod1wSuNgYEBXHfeCVddpR+rvvKVVL//fXbGYlgsFlpaWvSad41gMPhc2/8118CXvwwGA1QqZE88kfnLLiP5xjfq8feOjg79wrJnzx49iasNyoBa+GV2dpYNGzYskutVHByqsUihOEbxeDzEYjEikQitra1N1Scmk4nu7m7cbjfz8/N6UnN0dJSNl1+O6StfodDaSuKUUwh+5ztUN23Cfc89GO66i/CrX43s7MTv92M0GimlUpTuvJPsb36Dfc8exDPPwBVXUP7EJxh74glyp5wCQkB9KEZvb6/e7RmJRKhWq7oYWHd3t25jIpGohYaUMz/qKIeuUKwwXC4XHo+H2dlZhBAsNbrR4/HgdDrZtm2bfmzX5CQbd+zAUKlQmp1l9gUvoOPqq+l86UsxJRKU+vrIveIVOD0ejKEQ8ve/R4RCVFwuciefjHj/+4l/5CNEEwl40Yv093U4HPT29uoOOpPJEI/H8fl8i4TANIndhccVRwfl0BWKFYYQQh8pFw6H9TrxhRiNRtxuty7WValU2F5v329vb8fzvvdRmZrC+P3vk7nwQky/+hWu++9HVCpUrVZSZ51F7BOfIH3GGaDtpuvvpb1/b28vTqdTv0vQJHG1WaGNlMtlJicn9aEZiqOPcugKxQpE0zgvFAqMjY3R3t6+1516KpXShbEqlQoWi4Xp6WlCoRB9mzfj/uIXcVJLVoYiEeTICIVqlWJbmx4DX4jD4dDFuhpJJBJUq1V6enqaqnCgNk2pUCiwZs0alQxdJtSqKxQrFIPBwMDAAJOTk8zOzuLz+RbFpX0+H0ajEavVyq5du4Dn5oMCjI2N4ff7aWtrY2xsrNZQ5PfX2v0rFb3t32azIaWkUCjg9Xrp7u5esn5ckxhYOEoum80Si8VoaWlRjUTLiCpbVChWMCaTic7OTqSURCKRRa9r0gFWq1WPW5tMJn38m8FgIBaLsXPnTsrlMh0dHbpoFqCHR/x+P4VCAZ/PR09Pz5LOPJfLkc/nCQQCTYlaKSXT09OYTCZ9GLVieVAOXaFY4VitVvx+P9FodFGrfiON49/Wr1+PzWZraveXUuriWY1j4lKpFKFQCKjF3hfOEgUoFAqEQiFdcreRWCxGPp/XJyYplg8VclEojgHa29vJZDKMjo7S29u7ZNJRCEFbWxujo6NMTExQqVSahk4AWCwWfD4fqVQKIQSDg4NYrVamp6cxm80YjUaSySRSSjweD5VKhUgkot8ddHV1NTntbDZLKBTC6XSqROgK4JAduhDCCGwFpqSUmw7dJIVCsRCTycTQ0BBjY2NMTk5it9sXJSWhJq7l8/mIx+PYbDZdhMvn82G1WvWmH0CfdlStVvH7/UQiEbZv365fAGw2G8VikWq1itfrJRAINMXHNUEuk8lEb2/vkjt7xdHlcOzQ/xnYBqiR3grFEUQrI9y5cyezs7P09PQsOkcIoWuRu1wuUqkUU1NTxONxPB6PHlf3eDzE43Gmp6f17zUYDPh8PtxuN5VKhVAohMlkoqurq6l0UUpJKBQiFoshpdzrPFLF0eeQfgtCiB7gdcDngA8dFosUCsVeMZvNBAIBotEowWBwyZmhBoNBr1v3eDwYjUZGRkZIJpMEg0FaWlowmUz6+DltF68N29DweDz6+zWi6Z77fL6muL1i+TnUy+pXgI8AavqrQnGUaG1tJRaLEQ6H6e/v3+/5TqeTNWvWYLVamxy2Nnhib4Ok9yZ7m0wm9TsBJY27sjjo34YQYhMwK6X8w37Ou0IIsVUIsXVubu5gf5xCoahjMpkIBoN6dUpj0nNvOJ3OwxIWyefzJBIJ3G63cuYrkEP5jZwFXCiEGAXuBc4RQty98CQp5RYp5elSytOX6nRTKBTPn2AwiN1uJxqNLpLaPVLMz88zPDyMEEKfSqRYWRy0Q5dSfkxK2SOlHAAuAx6XUr7jsFmmUCj2isFgYGhoCK/XSywWI5fLUS6Xm6RxDxdSSubm5piensbpdDI0NLRospFiZaBS0wrFMUxrayvpdJrh4WGgljRdv379YSshLBaLjI2NUSgU8Hg8e+0iVawMDstvRkr5S1WDrlAcfWw2G+vWrdN3zKVSaZ/dpM+HQqHA6OgopVKJ3t5eent7lTNf4agdukJxjGMymRgcHKRUKjE+Ps709DTd3d2YTCasVuvz2q1Xq1Xi8TjpdFpXcezv71eCW8cIyqErFKsAo9GI0Wikp6eHkZERRkdHgZoOTE9PD6lUCiml3jG6FFJKffyd2WzG7/fT2tqqJg8dQyiHrlCsIhwOBxs2bCCfz1MsFpmdndXj6wBzc3O0tbUtGm2ndX8mEgl9ILVq5T/2UA5doVhlmEwmvWnI5XIxPj6Ox+PB7/czMzOj67lYLBYMBgMtLS2k02kSiQQtLS3KmR/DKIeuUKxiLBYLa9eu1Z9rSo25XE4vdZyamgJYcueuOLZQDl2hOM7weDy6TouUklgsRqVSUTvzVYBy6ArFcYwQgkAgsNxmKA4TqqhUoVAoVgnKoSsUCsUqQTl0hUKhWCUoh65QKBSrBOXQFQqFYpWgHLpCoVCsEpRDVygUilWCcugKhUKxShBSyqP3w4SYA8YO4luDQOQwm3MkUHYePo4FG0HZeTg5FmyE5bGzX0q53xmeR9WhHyxCiK1SytOX2479oew8fBwLNoKy83ByLNgIK9tOFXJRKBSKVYJy6AqFQrFKOFYc+pblNuAAUXYePo4FG0HZeTg5FmyEFWznMRFDVygUCsX+OVZ26AqFQqHYDyveoQshzhdC7BBC7BZCXLfc9jQihBgVQvyvEOLPQoit9WMBIcRjQohd9X/9R9mmbwshZoUQf204tqRNosa/19f2L0KIU5fZzhuFEFP19fyzEOKChtc+VrdzhxDiNUfJxl4hxC+EEM8KIZ4RQvxz/fiKWs992LnS1tMmhPi9EOLpup2fqh9fI4R4qm7P94UQlvpxa/357vrrA8to4x1CiJGGtXxR/fiy/Q0tiZRyxX4BRmAYGAQswNPAC5bbrgb7RoHggmNfAq6rP74OuOko2/Qq4FTgr/uzCbgAeAQQwMuBp5bZzhuBa5c49wX1370VWFP/P2E8CjZ2AqfWH7uBnXVbVtR67sPOlbaeAnDVH5uBp+rrdB9wWf34N4D31R+/H/hG/fFlwPeX0cY7gEuWOH/Z/oaW+lrpO/SXArullHuklEXgXuCiZbZpf1wE3Fl/fCdw8dH84VLKXwHzB2jTRcB3ZY3fAT4hROcy2rk3LgLulVIWpJQjwG5q/zeOKFLKkJTyj/XHKWAb0M0KW8992Lk3lms9pZQyXX9qrn9J4Bzgv+vHF66nts7/DZwrjvCMvH3YuDeW7W9oKVa6Q+8GJhqeT7Lv/6hHGwn8VAjxByHEFfVj7VLKUP3xDNC+PKY1sTebVuL6XlW/df12Q7hq2e2s3+6/mNqObcWu5wI7YYWtpxDCKIT4MzALPEbt7iAupSwvYYtuZ/31BNBytG2UUmpr+bn6Wn5ZCGFdaOMS9h91VrpDX+m8Qkp5KvBa4J+EEK9qfFHW7slWVBnRSrSpgduAIeBFQAi4eXnNqSGEcAH3Ax+UUiYbX1tJ67mEnStuPaWUFSnli4AeancFG5fZpEUstFEI8ULgY9RsfQkQAD66jCbulZXu0KeA3obnPfVjKwIp5VT931ngAWr/QcPaLVf939nls1BnbzatqPWVUobrf0xV4HaeCwMsm51CCDM1J/k9KeUP6odX3HouZedKXE8NKWUc+AVwBrUwhTawvtEW3c76614gugw2nl8Pa0kpZQH4DitoLRtZ6Q79/wfW1bPgFmqJkQeX2SYAhBBOIYRbewz8HfBXavb9ff20vwf+Z3ksbGJvNj0IXF7P1L8cSDSEEo46C2KPb6C2nlCz87J61cMaYB3w+6NgjwC+BWyTUt7S8NKKWs+92bkC17NVCOGrP7YD51GL9/8CuKR+2sL11Nb5EuDx+h3R0bZxe8MFXFCL8Teu5Yr5G1q2bOyBflHLIu+kFmvbvNz2NNg1SK1S4GngGc02ajG+nwO7gJ8BgaNs1z3Ubq9L1OJ5/9/ebKKWmf9afW3/Fzh9me28q27HX6j9oXQ2nL+5bucO4LVHycZXUAun/AX4c/3rgpW2nvuwc6Wt58nAn+r2/BW4oX58kNoFZTfwX4C1ftxWf767/vrgMtr4eH0t/wrczXOVMMv2N7TUl+oUVSgUilXCSg+5KBQKheIAUQ5doVAoVgnKoSsUCsUqQTl0hUKhWCUoh65QKBSrBOXQFccldSXCa5fbDoXicKIcukKhUKwSlENXHDcIITYLIXYKIX4NbKgfe5EQ4nd10aUHhBB+IcSQEOKPDd+3rvG5QrFSUQ5dcVwghDiNmnTEi6h1Ub6k/tJ3gY9KKU+m1un3SSnlMJDQhhgA76am36FQrGiUQ1ccL7wSeEBKmZU1JcIHASfgk1I+UT/nTmqDNwC+CbxbCGEE3gL859E2WKF4viiHrlAszf3UZJE3AX+QUh41lT+F4mBRDl1xvPAr4GIhhL2ukvl6IAPEhBCvrJ/zTuAJACllHvgJNU1xFW5RHBMocS7FcYMQYjM1OdZZYBz4IzW1xG8ADmAP8G4pZax+/supjT7rl1JWlsVoheJ5oBy6QrEX6nXqXinl9ctti0JxIJj2f4pCcfwhhHiA2vi2c5bbFoXiQFE7dIVCoVglqKSoQqFQrBKUQ1coFIpVgnLoCoVCsUpQDl2hUChWCcqhKxQKxSpBOXSFQqFYJfw/wJNJqGB9ws8AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = sea_ice_day_year.loc[:, 1989:2016].plot(legend=None, label='_nolegend_', color='lightgrey')\n", + "sea_ice_day_year[1988].plot(color='blue', ax=ax, legend=True)\n", + "sea_ice_day_year[2017].plot(color='red', ax=ax, legend=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# One column per year, one row per month\n", + "Aggregate with median, to give an overall value for each month." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "sea_ice_month_year = pd.pivot_table(sea_ice_raw,index='month',columns='year',values='extent', aggfunc=np.median)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
year1978197919801981198219831984198519861987...2009201020112012201320142015201620172018
month
1NaN15.500014.894014.873015.208014.965014.388014.710014.986014.7970...14.115013.820013.489013.703013.823013.631013.752013.549013.000013.1230
2NaN16.274516.041515.637515.855516.027515.335015.447515.840515.9645...14.847514.668514.432014.675014.767514.373014.414514.180014.156013.8905
3NaN16.435515.991015.628015.968516.057015.570015.935516.018015.7800...14.962015.134014.545015.187015.037014.720014.356014.387014.273014.2890
4NaN15.500015.509015.086015.491015.145015.085015.445015.019015.3740...14.519014.605014.188514.660014.345514.093013.987513.818013.7275NaN
5NaN13.836013.757013.885514.003013.467513.554014.077013.301013.7350...13.170012.864012.658013.008013.047012.676012.512011.910012.6050NaN
6NaN12.548012.269012.465012.652012.276012.192012.217011.965012.4820...11.441010.720510.768510.521511.482011.140010.889010.506510.7325NaN
7NaN10.328510.074510.354010.350010.76709.92909.770510.211010.4185...8.51208.18907.54907.60608.04007.99908.39807.83107.7940NaN
8NaN7.97107.76507.76408.02708.01057.75707.33107.91007.2650...6.14305.92805.43804.61905.93406.02205.53905.26205.3100NaN
9NaN7.03707.58007.05307.23307.32106.69706.65707.32807.1835...5.22704.81004.54103.53355.15855.19054.51054.36004.7555NaN
1010.4208.75409.24509.03709.70259.45308.35408.63059.52809.0400...6.85607.01806.19105.87307.54107.04906.97605.85706.6010NaN
1111.53910.920011.217010.965011.698011.473010.795011.041011.735011.3690...9.77459.66659.77909.30559.756010.13209.89708.61409.4720NaN
1213.72813.322013.697013.526513.840013.325513.074513.065013.100012.5405...12.344011.974012.245011.875012.207012.395012.116011.725011.8790NaN
\n", + "

12 rows × 41 columns

\n", + "
" + ], + "text/plain": [ + "year 1978 1979 1980 1981 1982 1983 1984 1985 \\\n", + "month \n", + "1 NaN 15.5000 14.8940 14.8730 15.2080 14.9650 14.3880 14.7100 \n", + "2 NaN 16.2745 16.0415 15.6375 15.8555 16.0275 15.3350 15.4475 \n", + "3 NaN 16.4355 15.9910 15.6280 15.9685 16.0570 15.5700 15.9355 \n", + "4 NaN 15.5000 15.5090 15.0860 15.4910 15.1450 15.0850 15.4450 \n", + "5 NaN 13.8360 13.7570 13.8855 14.0030 13.4675 13.5540 14.0770 \n", + "6 NaN 12.5480 12.2690 12.4650 12.6520 12.2760 12.1920 12.2170 \n", + "7 NaN 10.3285 10.0745 10.3540 10.3500 10.7670 9.9290 9.7705 \n", + "8 NaN 7.9710 7.7650 7.7640 8.0270 8.0105 7.7570 7.3310 \n", + "9 NaN 7.0370 7.5800 7.0530 7.2330 7.3210 6.6970 6.6570 \n", + "10 10.420 8.7540 9.2450 9.0370 9.7025 9.4530 8.3540 8.6305 \n", + "11 11.539 10.9200 11.2170 10.9650 11.6980 11.4730 10.7950 11.0410 \n", + "12 13.728 13.3220 13.6970 13.5265 13.8400 13.3255 13.0745 13.0650 \n", + "\n", + "year 1986 1987 ... 2009 2010 2011 2012 2013 \\\n", + "month ... \n", + "1 14.9860 14.7970 ... 14.1150 13.8200 13.4890 13.7030 13.8230 \n", + "2 15.8405 15.9645 ... 14.8475 14.6685 14.4320 14.6750 14.7675 \n", + "3 16.0180 15.7800 ... 14.9620 15.1340 14.5450 15.1870 15.0370 \n", + "4 15.0190 15.3740 ... 14.5190 14.6050 14.1885 14.6600 14.3455 \n", + "5 13.3010 13.7350 ... 13.1700 12.8640 12.6580 13.0080 13.0470 \n", + "6 11.9650 12.4820 ... 11.4410 10.7205 10.7685 10.5215 11.4820 \n", + "7 10.2110 10.4185 ... 8.5120 8.1890 7.5490 7.6060 8.0400 \n", + "8 7.9100 7.2650 ... 6.1430 5.9280 5.4380 4.6190 5.9340 \n", + "9 7.3280 7.1835 ... 5.2270 4.8100 4.5410 3.5335 5.1585 \n", + "10 9.5280 9.0400 ... 6.8560 7.0180 6.1910 5.8730 7.5410 \n", + "11 11.7350 11.3690 ... 9.7745 9.6665 9.7790 9.3055 9.7560 \n", + "12 13.1000 12.5405 ... 12.3440 11.9740 12.2450 11.8750 12.2070 \n", + "\n", + "year 2014 2015 2016 2017 2018 \n", + "month \n", + "1 13.6310 13.7520 13.5490 13.0000 13.1230 \n", + "2 14.3730 14.4145 14.1800 14.1560 13.8905 \n", + "3 14.7200 14.3560 14.3870 14.2730 14.2890 \n", + "4 14.0930 13.9875 13.8180 13.7275 NaN \n", + "5 12.6760 12.5120 11.9100 12.6050 NaN \n", + "6 11.1400 10.8890 10.5065 10.7325 NaN \n", + "7 7.9990 8.3980 7.8310 7.7940 NaN \n", + "8 6.0220 5.5390 5.2620 5.3100 NaN \n", + "9 5.1905 4.5105 4.3600 4.7555 NaN \n", + "10 7.0490 6.9760 5.8570 6.6010 NaN \n", + "11 10.1320 9.8970 8.6140 9.4720 NaN \n", + "12 12.3950 12.1160 11.7250 11.8790 NaN \n", + "\n", + "[12 rows x 41 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sea_ice_month_year" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Medians for each month\n", + "These are the median values of ice extent for each month, over the whole dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "month\n", + "1 14.38800\n", + "2 15.29450\n", + "3 15.39250\n", + "4 14.59650\n", + "5 13.13000\n", + "6 11.71600\n", + "7 9.32600\n", + "8 7.20900\n", + "9 6.19700\n", + "10 8.38000\n", + "11 10.63475\n", + "12 12.72050\n", + "dtype: float64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sea_ice_month_year.median(axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now find the difference of each month's extent from the median for that month over all years." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
year1978197919801981198219831984198519861987...2009201020112012201320142015201620172018
month
1NaN1.112000.506000.485000.820000.577000.000000.322000.598000.40900...-0.27300-0.56800-0.89900-0.68500-0.56500-0.75700-0.63600-0.83900-1.38800-1.2650
2NaN0.980000.747000.343000.561000.733000.040500.153000.546000.67000...-0.44700-0.62600-0.86250-0.61950-0.52700-0.92150-0.88000-1.11450-1.13850-1.4040
3NaN1.043000.598500.235500.576000.664500.177500.543000.625500.38750...-0.43050-0.25850-0.84750-0.20550-0.35550-0.67250-1.03650-1.00550-1.11950-1.1035
4NaN0.903500.912500.489500.894500.548500.488500.848500.422500.77750...-0.077500.00850-0.408000.06350-0.25100-0.50350-0.60900-0.77850-0.86900NaN
5NaN0.706000.627000.755500.873000.337500.424000.947000.171000.60500...0.04000-0.26600-0.47200-0.12200-0.08300-0.45400-0.61800-1.22000-0.52500NaN
6NaN0.832000.553000.749000.936000.560000.476000.501000.249000.76600...-0.27500-0.99550-0.94750-1.19450-0.23400-0.57600-0.82700-1.20950-0.98350NaN
7NaN1.002500.748501.028001.024001.441000.603000.444500.885001.09250...-0.81400-1.13700-1.77700-1.72000-1.28600-1.32700-0.92800-1.49500-1.53200NaN
8NaN0.762000.556000.555000.818000.801500.548000.122000.701000.05600...-1.06600-1.28100-1.77100-2.59000-1.27500-1.18700-1.67000-1.94700-1.89900NaN
9NaN0.840001.383000.856001.036001.124000.500000.460001.131000.98650...-0.97000-1.38700-1.65600-2.66350-1.03850-1.00650-1.68650-1.83700-1.44150NaN
102.040000.374000.865000.657001.322501.07300-0.026000.250501.148000.66000...-1.52400-1.36200-2.18900-2.50700-0.83900-1.33100-1.40400-2.52300-1.77900NaN
110.904250.285250.582250.330251.063250.838250.160250.406251.100250.73425...-0.86025-0.96825-0.85575-1.32925-0.87875-0.50275-0.73775-2.02075-1.16275NaN
121.007500.601500.976500.806001.119500.605000.354000.344500.37950-0.18000...-0.37650-0.74650-0.47550-0.84550-0.51350-0.32550-0.60450-0.99550-0.84150NaN
\n", + "

12 rows × 41 columns

\n", + "
" + ], + "text/plain": [ + "year 1978 1979 1980 1981 1982 1983 1984 1985 \\\n", + "month \n", + "1 NaN 1.11200 0.50600 0.48500 0.82000 0.57700 0.00000 0.32200 \n", + "2 NaN 0.98000 0.74700 0.34300 0.56100 0.73300 0.04050 0.15300 \n", + "3 NaN 1.04300 0.59850 0.23550 0.57600 0.66450 0.17750 0.54300 \n", + "4 NaN 0.90350 0.91250 0.48950 0.89450 0.54850 0.48850 0.84850 \n", + "5 NaN 0.70600 0.62700 0.75550 0.87300 0.33750 0.42400 0.94700 \n", + "6 NaN 0.83200 0.55300 0.74900 0.93600 0.56000 0.47600 0.50100 \n", + "7 NaN 1.00250 0.74850 1.02800 1.02400 1.44100 0.60300 0.44450 \n", + "8 NaN 0.76200 0.55600 0.55500 0.81800 0.80150 0.54800 0.12200 \n", + "9 NaN 0.84000 1.38300 0.85600 1.03600 1.12400 0.50000 0.46000 \n", + "10 2.04000 0.37400 0.86500 0.65700 1.32250 1.07300 -0.02600 0.25050 \n", + "11 0.90425 0.28525 0.58225 0.33025 1.06325 0.83825 0.16025 0.40625 \n", + "12 1.00750 0.60150 0.97650 0.80600 1.11950 0.60500 0.35400 0.34450 \n", + "\n", + "year 1986 1987 ... 2009 2010 2011 2012 2013 \\\n", + "month ... \n", + "1 0.59800 0.40900 ... -0.27300 -0.56800 -0.89900 -0.68500 -0.56500 \n", + "2 0.54600 0.67000 ... -0.44700 -0.62600 -0.86250 -0.61950 -0.52700 \n", + "3 0.62550 0.38750 ... -0.43050 -0.25850 -0.84750 -0.20550 -0.35550 \n", + "4 0.42250 0.77750 ... -0.07750 0.00850 -0.40800 0.06350 -0.25100 \n", + "5 0.17100 0.60500 ... 0.04000 -0.26600 -0.47200 -0.12200 -0.08300 \n", + "6 0.24900 0.76600 ... -0.27500 -0.99550 -0.94750 -1.19450 -0.23400 \n", + "7 0.88500 1.09250 ... -0.81400 -1.13700 -1.77700 -1.72000 -1.28600 \n", + "8 0.70100 0.05600 ... -1.06600 -1.28100 -1.77100 -2.59000 -1.27500 \n", + "9 1.13100 0.98650 ... -0.97000 -1.38700 -1.65600 -2.66350 -1.03850 \n", + "10 1.14800 0.66000 ... -1.52400 -1.36200 -2.18900 -2.50700 -0.83900 \n", + "11 1.10025 0.73425 ... -0.86025 -0.96825 -0.85575 -1.32925 -0.87875 \n", + "12 0.37950 -0.18000 ... -0.37650 -0.74650 -0.47550 -0.84550 -0.51350 \n", + "\n", + "year 2014 2015 2016 2017 2018 \n", + "month \n", + "1 -0.75700 -0.63600 -0.83900 -1.38800 -1.2650 \n", + "2 -0.92150 -0.88000 -1.11450 -1.13850 -1.4040 \n", + "3 -0.67250 -1.03650 -1.00550 -1.11950 -1.1035 \n", + "4 -0.50350 -0.60900 -0.77850 -0.86900 NaN \n", + "5 -0.45400 -0.61800 -1.22000 -0.52500 NaN \n", + "6 -0.57600 -0.82700 -1.20950 -0.98350 NaN \n", + "7 -1.32700 -0.92800 -1.49500 -1.53200 NaN \n", + "8 -1.18700 -1.67000 -1.94700 -1.89900 NaN \n", + "9 -1.00650 -1.68650 -1.83700 -1.44150 NaN \n", + "10 -1.33100 -1.40400 -2.52300 -1.77900 NaN \n", + "11 -0.50275 -0.73775 -2.02075 -1.16275 NaN \n", + "12 -0.32550 -0.60450 -0.99550 -0.84150 NaN \n", + "\n", + "[12 rows x 41 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sea_ice_month_year_diff = sea_ice_month_year.subtract(sea_ice_month_year.median(axis=1), axis=0)\n", + "sea_ice_month_year_diff" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
year1988198919901991199219931994199519961997...2008200920102011201220132014201520162017
month
10.663000.623000.352000.016000.226000.597000.369000.23100-0.238000.02900...-0.53900-0.27300-0.56800-0.89900-0.68500-0.56500-0.75700-0.63600-0.83900-1.38800
20.181500.176500.274000.065000.171500.414500.25050-0.06700-0.108500.16900...-0.37350-0.44700-0.62600-0.86250-0.61950-0.52700-0.92150-0.88000-1.11450-1.13850
30.56750-0.004500.568500.044500.100500.391500.15750-0.12150-0.274500.09550...-0.20850-0.43050-0.25850-0.84750-0.20550-0.35550-0.67250-1.03650-1.00550-1.11950
40.56150-0.289500.000000.233500.086500.589500.26800-0.19250-0.41000-0.13150...-0.23850-0.077500.00850-0.408000.06350-0.25100-0.50350-0.60900-0.77850-0.86900
50.45900-0.103000.147000.350000.000000.240000.53800-0.02300-0.080000.02400...-0.082000.04000-0.26600-0.47200-0.12200-0.08300-0.45400-0.61800-1.22000-0.52500
60.295000.606000.000000.373500.458500.158500.30100-0.200000.414000.12600...-0.48750-0.27500-0.99550-0.94750-1.19450-0.23400-0.57600-0.82700-1.20950-0.98350
70.412000.83900-0.166000.132001.007000.000000.62900-0.368000.85200-0.00400...-0.63800-0.81400-1.13700-1.77700-1.72000-1.28600-1.32700-0.92800-1.49500-1.53200
80.656000.67800-0.486000.255000.585000.038000.32400-0.534000.963000.06600...-1.31600-1.06600-1.28100-1.77100-2.59000-1.27500-1.18700-1.67000-1.94700-1.89900
91.088000.77500-0.065000.234501.124500.115500.88700-0.121501.310000.47400...-1.53550-0.97000-1.38700-1.65600-2.66350-1.03850-1.00650-1.68650-1.83700-1.44150
100.960000.411000.171000.544001.030000.528000.40100-0.505000.89700-0.05800...-0.92100-1.52400-1.36200-2.18900-2.50700-0.83900-1.33100-1.40400-2.52300-1.77900
110.819250.237750.426750.227750.614750.752250.397250.05775-0.33325-0.05775...-0.35775-0.86025-0.96825-0.85575-1.32925-0.87875-0.50275-0.73775-2.02075-1.16275
121.026500.614500.505500.248500.708500.693500.580500.202500.223500.31450...-0.34350-0.37650-0.74650-0.47550-0.84550-0.51350-0.32550-0.60450-0.99550-0.84150
\n", + "

12 rows × 30 columns

\n", + "
" + ], + "text/plain": [ + "year 1988 1989 1990 1991 1992 1993 1994 1995 \\\n", + "month \n", + "1 0.66300 0.62300 0.35200 0.01600 0.22600 0.59700 0.36900 0.23100 \n", + "2 0.18150 0.17650 0.27400 0.06500 0.17150 0.41450 0.25050 -0.06700 \n", + "3 0.56750 -0.00450 0.56850 0.04450 0.10050 0.39150 0.15750 -0.12150 \n", + "4 0.56150 -0.28950 0.00000 0.23350 0.08650 0.58950 0.26800 -0.19250 \n", + "5 0.45900 -0.10300 0.14700 0.35000 0.00000 0.24000 0.53800 -0.02300 \n", + "6 0.29500 0.60600 0.00000 0.37350 0.45850 0.15850 0.30100 -0.20000 \n", + "7 0.41200 0.83900 -0.16600 0.13200 1.00700 0.00000 0.62900 -0.36800 \n", + "8 0.65600 0.67800 -0.48600 0.25500 0.58500 0.03800 0.32400 -0.53400 \n", + "9 1.08800 0.77500 -0.06500 0.23450 1.12450 0.11550 0.88700 -0.12150 \n", + "10 0.96000 0.41100 0.17100 0.54400 1.03000 0.52800 0.40100 -0.50500 \n", + "11 0.81925 0.23775 0.42675 0.22775 0.61475 0.75225 0.39725 0.05775 \n", + "12 1.02650 0.61450 0.50550 0.24850 0.70850 0.69350 0.58050 0.20250 \n", + "\n", + "year 1996 1997 ... 2008 2009 2010 2011 2012 \\\n", + "month ... \n", + "1 -0.23800 0.02900 ... -0.53900 -0.27300 -0.56800 -0.89900 -0.68500 \n", + "2 -0.10850 0.16900 ... -0.37350 -0.44700 -0.62600 -0.86250 -0.61950 \n", + "3 -0.27450 0.09550 ... -0.20850 -0.43050 -0.25850 -0.84750 -0.20550 \n", + "4 -0.41000 -0.13150 ... -0.23850 -0.07750 0.00850 -0.40800 0.06350 \n", + "5 -0.08000 0.02400 ... -0.08200 0.04000 -0.26600 -0.47200 -0.12200 \n", + "6 0.41400 0.12600 ... -0.48750 -0.27500 -0.99550 -0.94750 -1.19450 \n", + "7 0.85200 -0.00400 ... -0.63800 -0.81400 -1.13700 -1.77700 -1.72000 \n", + "8 0.96300 0.06600 ... -1.31600 -1.06600 -1.28100 -1.77100 -2.59000 \n", + "9 1.31000 0.47400 ... -1.53550 -0.97000 -1.38700 -1.65600 -2.66350 \n", + "10 0.89700 -0.05800 ... -0.92100 -1.52400 -1.36200 -2.18900 -2.50700 \n", + "11 -0.33325 -0.05775 ... -0.35775 -0.86025 -0.96825 -0.85575 -1.32925 \n", + "12 0.22350 0.31450 ... -0.34350 -0.37650 -0.74650 -0.47550 -0.84550 \n", + "\n", + "year 2013 2014 2015 2016 2017 \n", + "month \n", + "1 -0.56500 -0.75700 -0.63600 -0.83900 -1.38800 \n", + "2 -0.52700 -0.92150 -0.88000 -1.11450 -1.13850 \n", + "3 -0.35550 -0.67250 -1.03650 -1.00550 -1.11950 \n", + "4 -0.25100 -0.50350 -0.60900 -0.77850 -0.86900 \n", + "5 -0.08300 -0.45400 -0.61800 -1.22000 -0.52500 \n", + "6 -0.23400 -0.57600 -0.82700 -1.20950 -0.98350 \n", + "7 -1.28600 -1.32700 -0.92800 -1.49500 -1.53200 \n", + "8 -1.27500 -1.18700 -1.67000 -1.94700 -1.89900 \n", + "9 -1.03850 -1.00650 -1.68650 -1.83700 -1.44150 \n", + "10 -0.83900 -1.33100 -1.40400 -2.52300 -1.77900 \n", + "11 -0.87875 -0.50275 -0.73775 -2.02075 -1.16275 \n", + "12 -0.51350 -0.32550 -0.60450 -0.99550 -0.84150 \n", + "\n", + "[12 rows x 30 columns]" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sea_ice_month_year_diff.loc[:, 1988:2017]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Quick plot of each year\n", + "How each year varies against the median values for each month." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sea_ice_month_year_diff.plot(legend=None, subplots=True, layout=(7, 6), sharey=True, figsize=(15, 15), kind='bar');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot just the last 30 complete years." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sea_ice_month_year_diff.loc[:, 1988:2017].plot(legend=None, subplots=True, layout=(6, 5), sharey=True, figsize=(15, 15), kind='bar');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similar plot, with each month in a subplot, trend over years." + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sea_ice_month_year_diff.T.plot(legend=None, subplots=True, layout=(3, 4), sharey=True, figsize=(15, 15), kind='line');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Colouring the data\n", + "Pandas doesn't make it easy to have each bar in a chart have a different colour depending on its value. Therefore, we'll create a separate dataframe with the colour that each data point should be plotted with.\n", + "\n", + "To start with, normalise the data, so that the data ranges from 0 to 1." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
year1978197919801981198219831984198519861987...2009201020112012201320142015201620172018
month
1NaN0.8044260.6767120.6722870.7428870.6916750.5700740.6379350.6961010.656270...0.5125400.4503690.3806110.4257110.4510010.4105370.4360380.3932560.2775550.303477
2NaN0.7766070.7275030.6423600.6883030.7245520.5786090.6023180.6851420.711275...0.4758690.4381450.3883030.4395150.4590090.3758690.3846150.3351950.3301370.274183
3NaN0.7898840.6962070.6197050.6914650.7101160.6074820.6845100.7018970.651739...0.4793470.5155950.3914650.5267650.4951530.4283460.3516330.3581660.3341410.337513
4NaN0.7604850.7623810.6732350.7585880.6856690.6730240.7488940.6591150.733930...0.5537410.5718650.4840890.5834560.5171760.4639620.4417280.4060060.386934NaN
5NaN0.7188620.7022130.7292940.7540570.6412010.6594310.7696520.6061120.697576...0.5785040.5140150.4706010.5443620.5525820.4743940.4398310.3129610.459431NaN
6NaN0.7454160.6866170.7279240.7673340.6880930.6703900.6756590.6225500.731507...0.5121180.3602740.3703900.3183350.5207590.4486830.3957850.3151740.362803NaN
7NaN0.7813490.7278190.7867230.7858800.8737620.6971550.6637510.7565860.800316...0.3985250.3304530.1955740.2075870.2990520.2904110.3744990.2550050.247208NaN
8NaN0.7306640.6872500.6870390.7424660.7389880.6855640.5957850.7178080.581876...0.3454160.3001050.1968390.0242360.3013700.3199160.2181240.1597470.169863NaN
9NaN0.7471020.8615380.7504740.7884090.8069550.6754480.6670180.8084300.777977...0.3656480.2777660.2210750.0087460.3512120.3579560.2146470.1829290.266280NaN
101.0000000.6488940.7523710.7085350.8487880.7962070.5645940.6228660.8120130.709168...0.2488940.2830350.1087460.0417280.3932560.2895680.2741830.0383560.195153NaN
110.7606430.6301900.6927820.6396730.7941520.7467330.6038460.6556900.8019490.724816...0.3887780.3660170.3897260.2899370.3848790.4641200.4145940.1442040.325026NaN
120.7824030.6968390.7758690.7399370.8060060.6975760.6446790.6426770.6500530.532139...0.4907270.4127500.4698630.3918860.4618550.5014750.4426770.3602740.392729NaN
\n", + "

12 rows × 41 columns

\n", + "
" + ], + "text/plain": [ + "year 1978 1979 1980 1981 1982 1983 1984 \\\n", + "month \n", + "1 NaN 0.804426 0.676712 0.672287 0.742887 0.691675 0.570074 \n", + "2 NaN 0.776607 0.727503 0.642360 0.688303 0.724552 0.578609 \n", + "3 NaN 0.789884 0.696207 0.619705 0.691465 0.710116 0.607482 \n", + "4 NaN 0.760485 0.762381 0.673235 0.758588 0.685669 0.673024 \n", + "5 NaN 0.718862 0.702213 0.729294 0.754057 0.641201 0.659431 \n", + "6 NaN 0.745416 0.686617 0.727924 0.767334 0.688093 0.670390 \n", + "7 NaN 0.781349 0.727819 0.786723 0.785880 0.873762 0.697155 \n", + "8 NaN 0.730664 0.687250 0.687039 0.742466 0.738988 0.685564 \n", + "9 NaN 0.747102 0.861538 0.750474 0.788409 0.806955 0.675448 \n", + "10 1.000000 0.648894 0.752371 0.708535 0.848788 0.796207 0.564594 \n", + "11 0.760643 0.630190 0.692782 0.639673 0.794152 0.746733 0.603846 \n", + "12 0.782403 0.696839 0.775869 0.739937 0.806006 0.697576 0.644679 \n", + "\n", + "year 1985 1986 1987 ... 2009 2010 2011 \\\n", + "month ... \n", + "1 0.637935 0.696101 0.656270 ... 0.512540 0.450369 0.380611 \n", + "2 0.602318 0.685142 0.711275 ... 0.475869 0.438145 0.388303 \n", + "3 0.684510 0.701897 0.651739 ... 0.479347 0.515595 0.391465 \n", + "4 0.748894 0.659115 0.733930 ... 0.553741 0.571865 0.484089 \n", + "5 0.769652 0.606112 0.697576 ... 0.578504 0.514015 0.470601 \n", + "6 0.675659 0.622550 0.731507 ... 0.512118 0.360274 0.370390 \n", + "7 0.663751 0.756586 0.800316 ... 0.398525 0.330453 0.195574 \n", + "8 0.595785 0.717808 0.581876 ... 0.345416 0.300105 0.196839 \n", + "9 0.667018 0.808430 0.777977 ... 0.365648 0.277766 0.221075 \n", + "10 0.622866 0.812013 0.709168 ... 0.248894 0.283035 0.108746 \n", + "11 0.655690 0.801949 0.724816 ... 0.388778 0.366017 0.389726 \n", + "12 0.642677 0.650053 0.532139 ... 0.490727 0.412750 0.469863 \n", + "\n", + "year 2012 2013 2014 2015 2016 2017 2018 \n", + "month \n", + "1 0.425711 0.451001 0.410537 0.436038 0.393256 0.277555 0.303477 \n", + "2 0.439515 0.459009 0.375869 0.384615 0.335195 0.330137 0.274183 \n", + "3 0.526765 0.495153 0.428346 0.351633 0.358166 0.334141 0.337513 \n", + "4 0.583456 0.517176 0.463962 0.441728 0.406006 0.386934 NaN \n", + "5 0.544362 0.552582 0.474394 0.439831 0.312961 0.459431 NaN \n", + "6 0.318335 0.520759 0.448683 0.395785 0.315174 0.362803 NaN \n", + "7 0.207587 0.299052 0.290411 0.374499 0.255005 0.247208 NaN \n", + "8 0.024236 0.301370 0.319916 0.218124 0.159747 0.169863 NaN \n", + "9 0.008746 0.351212 0.357956 0.214647 0.182929 0.266280 NaN \n", + "10 0.041728 0.393256 0.289568 0.274183 0.038356 0.195153 NaN \n", + "11 0.289937 0.384879 0.464120 0.414594 0.144204 0.325026 NaN \n", + "12 0.391886 0.461855 0.501475 0.442677 0.360274 0.392729 NaN \n", + "\n", + "[12 rows x 41 columns]" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sid_max = sea_ice_month_year_diff.max().max()\n", + "sid_min = sea_ice_month_year_diff.min().min()\n", + "sea_ice_month_year_dnorm = (sea_ice_month_year_diff - sid_min) / (sid_max - sid_min)\n", + "sea_ice_month_year_dnorm" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now use the `matplotlib` color map to find the colour of each value.\n", + "\n", + "Note that we're doing `1 - value` to make the map scale from blue at high values to magenta at low ones, the opposite of what it normally does." + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
year1978197919801981198219831984198519861987...2009201020112012201320142015201620172018
month
1(0.0, 1.0, 1.0, 1.0)(0.19607843137254902, 0.803921568627451, 1.0, ...(0.32156862745098036, 0.6784313725490196, 1.0,...(0.3254901960784314, 0.6745098039215687, 1.0, ...(0.2549019607843137, 0.7450980392156863, 1.0, ...(0.3058823529411765, 0.6941176470588235, 1.0, ...(0.43137254901960786, 0.5686274509803921, 1.0,...(0.3607843137254902, 0.6392156862745098, 1.0, ...(0.30196078431372547, 0.6980392156862745, 1.0,...(0.3411764705882353, 0.6588235294117647, 1.0, ......(0.48627450980392156, 0.5137254901960784, 1.0,...(0.5490196078431373, 0.4509803921568627, 1.0, ...(0.6196078431372549, 0.3803921568627451, 1.0, ...(0.5764705882352941, 0.42352941176470593, 1.0,...(0.5490196078431373, 0.4509803921568627, 1.0, ...(0.5882352941176471, 0.4117647058823529, 1.0, ...(0.5647058823529412, 0.43529411764705883, 1.0,...(0.6078431372549019, 0.3921568627450981, 1.0, ...(0.7215686274509804, 0.2784313725490196, 1.0, ...(0.6980392156862745, 0.3019607843137255, 1.0, ...
2(0.0, 1.0, 1.0, 1.0)(0.22352941176470587, 0.7764705882352941, 1.0,...(0.27058823529411763, 0.7294117647058824, 1.0,...(0.3568627450980392, 0.6431372549019607, 1.0, ...(0.30980392156862746, 0.6901960784313725, 1.0,...(0.27450980392156865, 0.7254901960784313, 1.0,...(0.4196078431372549, 0.580392156862745, 1.0, 1.0)(0.396078431372549, 0.603921568627451, 1.0, 1.0)(0.3137254901960784, 0.6862745098039216, 1.0, ...(0.28627450980392155, 0.7137254901960784, 1.0,......(0.5254901960784314, 0.4745098039215686, 1.0, ...(0.5607843137254902, 0.4392156862745098, 1.0, ...(0.611764705882353, 0.388235294117647, 1.0, 1.0)(0.5607843137254902, 0.4392156862745098, 1.0, ...(0.5411764705882353, 0.45882352941176474, 1.0,...(0.6235294117647059, 0.3764705882352941, 1.0, ...(0.615686274509804, 0.38431372549019605, 1.0, ...(0.6666666666666666, 0.33333333333333337, 1.0,...(0.6705882352941176, 0.3294117647058824, 1.0, ...(0.7254901960784313, 0.27450980392156865, 1.0,...
3(0.0, 1.0, 1.0, 1.0)(0.20784313725490194, 0.7921568627450981, 1.0,...(0.30196078431372547, 0.6980392156862745, 1.0,...(0.3803921568627451, 0.6196078431372549, 1.0, ...(0.3058823529411765, 0.6941176470588235, 1.0, ...(0.2901960784313725, 0.7098039215686275, 1.0, ...(0.39215686274509803, 0.607843137254902, 1.0, ...(0.3137254901960784, 0.6862745098039216, 1.0, ...(0.2980392156862745, 0.7019607843137254, 1.0, ...(0.34901960784313724, 0.6509803921568628, 1.0,......(0.5215686274509804, 0.4784313725490196, 1.0, ...(0.48627450980392156, 0.5137254901960784, 1.0,...(0.6078431372549019, 0.3921568627450981, 1.0, ...(0.4745098039215686, 0.5254901960784314, 1.0, ...(0.5058823529411764, 0.49411764705882355, 1.0,...(0.5725490196078431, 0.4274509803921569, 1.0, ...(0.6470588235294118, 0.3529411764705882, 1.0, ...(0.6431372549019607, 0.3568627450980393, 1.0, ...(0.6666666666666666, 0.33333333333333337, 1.0,...(0.6627450980392157, 0.33725490196078434, 1.0,...
4(0.0, 1.0, 1.0, 1.0)(0.2392156862745098, 0.7607843137254902, 1.0, ...(0.23529411764705882, 0.7647058823529411, 1.0,...(0.3254901960784314, 0.6745098039215687, 1.0, ...(0.2392156862745098, 0.7607843137254902, 1.0, ...(0.3137254901960784, 0.6862745098039216, 1.0, ...(0.3254901960784314, 0.6745098039215687, 1.0, ...(0.25098039215686274, 0.7490196078431373, 1.0,...(0.3411764705882353, 0.6588235294117647, 1.0, ...(0.26666666666666666, 0.7333333333333334, 1.0,......(0.44705882352941173, 0.5529411764705883, 1.0,...(0.42745098039215684, 0.5725490196078431, 1.0,...(0.5176470588235293, 0.48235294117647065, 1.0,...(0.4156862745098039, 0.5843137254901961, 1.0, ...(0.4823529411764706, 0.5176470588235293, 1.0, ...(0.5372549019607843, 0.4627450980392157, 1.0, ...(0.5568627450980392, 0.44313725490196076, 1.0,...(0.596078431372549, 0.403921568627451, 1.0, 1.0)(0.611764705882353, 0.388235294117647, 1.0, 1.0)(0.0, 1.0, 1.0, 1.0)
5(0.0, 1.0, 1.0, 1.0)(0.2784313725490196, 0.7215686274509804, 1.0, ...(0.2980392156862745, 0.7019607843137254, 1.0, ...(0.27058823529411763, 0.7294117647058824, 1.0,...(0.24313725490196078, 0.7568627450980392, 1.0,...(0.3568627450980392, 0.6431372549019607, 1.0, ...(0.3411764705882353, 0.6588235294117647, 1.0, ...(0.22745098039215686, 0.7725490196078432, 1.0,...(0.39215686274509803, 0.607843137254902, 1.0, ...(0.30196078431372547, 0.6980392156862745, 1.0,......(0.4196078431372549, 0.580392156862745, 1.0, 1.0)(0.48627450980392156, 0.5137254901960784, 1.0,...(0.5294117647058824, 0.47058823529411764, 1.0,...(0.4549019607843137, 0.5450980392156863, 1.0, ...(0.44705882352941173, 0.5529411764705883, 1.0,...(0.5254901960784314, 0.4745098039215686, 1.0, ...(0.5607843137254902, 0.4392156862745098, 1.0, ...(0.6862745098039216, 0.3137254901960784, 1.0, ...(0.5411764705882353, 0.45882352941176474, 1.0,...(0.0, 1.0, 1.0, 1.0)
6(0.0, 1.0, 1.0, 1.0)(0.2549019607843137, 0.7450980392156863, 1.0, ...(0.3137254901960784, 0.6862745098039216, 1.0, ...(0.27058823529411763, 0.7294117647058824, 1.0,...(0.23137254901960785, 0.7686274509803921, 1.0,...(0.30980392156862746, 0.6901960784313725, 1.0,...(0.32941176470588235, 0.6705882352941177, 1.0,...(0.3254901960784314, 0.6745098039215687, 1.0, ...(0.3764705882352941, 0.6235294117647059, 1.0, ...(0.26666666666666666, 0.7333333333333334, 1.0,......(0.48627450980392156, 0.5137254901960784, 1.0,...(0.6392156862745098, 0.36078431372549025, 1.0,...(0.6313725490196078, 0.3686274509803922, 1.0, ...(0.6823529411764706, 0.3176470588235294, 1.0, ...(0.4784313725490196, 0.5215686274509804, 1.0, ...(0.5529411764705883, 0.44705882352941173, 1.0,...(0.6039215686274509, 0.39607843137254906, 1.0,...(0.6862745098039216, 0.3137254901960784, 1.0, ...(0.6392156862745098, 0.36078431372549025, 1.0,...(0.0, 1.0, 1.0, 1.0)
7(0.0, 1.0, 1.0, 1.0)(0.21568627450980393, 0.7843137254901961, 1.0,...(0.27058823529411763, 0.7294117647058824, 1.0,...(0.21176470588235294, 0.788235294117647, 1.0, ...(0.21176470588235294, 0.788235294117647, 1.0, ...(0.12549019607843137, 0.8745098039215686, 1.0,...(0.30196078431372547, 0.6980392156862745, 1.0,...(0.33725490196078434, 0.6627450980392157, 1.0,...(0.24313725490196078, 0.7568627450980392, 1.0,...(0.2, 0.8, 1.0, 1.0)...(0.6, 0.4, 1.0, 1.0)(0.6705882352941176, 0.3294117647058824, 1.0, ...(0.803921568627451, 0.196078431372549, 1.0, 1.0)(0.792156862745098, 0.207843137254902, 1.0, 1.0)(0.7019607843137254, 0.29803921568627456, 1.0,...(0.7098039215686275, 0.2901960784313725, 1.0, ...(0.6274509803921569, 0.37254901960784315, 1.0,...(0.7450980392156863, 0.2549019607843137, 1.0, ...(0.7529411764705882, 0.24705882352941178, 1.0,...(0.0, 1.0, 1.0, 1.0)
8(0.0, 1.0, 1.0, 1.0)(0.26666666666666666, 0.7333333333333334, 1.0,...(0.3137254901960784, 0.6862745098039216, 1.0, ...(0.3137254901960784, 0.6862745098039216, 1.0, ...(0.2549019607843137, 0.7450980392156863, 1.0, ...(0.2588235294117647, 0.7411764705882353, 1.0, ...(0.3137254901960784, 0.6862745098039216, 1.0, ...(0.403921568627451, 0.596078431372549, 1.0, 1.0)(0.2823529411764706, 0.7176470588235294, 1.0, ...(0.4196078431372549, 0.580392156862745, 1.0, 1.0)...(0.6549019607843137, 0.34509803921568627, 1.0,...(0.7019607843137254, 0.29803921568627456, 1.0,...(0.803921568627451, 0.196078431372549, 1.0, 1.0)(0.9764705882352941, 0.02352941176470591, 1.0,...(0.6980392156862745, 0.3019607843137255, 1.0, ...(0.6823529411764706, 0.3176470588235294, 1.0, ...(0.7843137254901961, 0.21568627450980393, 1.0,...(0.8431372549019608, 0.1568627450980392, 1.0, ...(0.8313725490196078, 0.16862745098039222, 1.0,...(0.0, 1.0, 1.0, 1.0)
9(0.0, 1.0, 1.0, 1.0)(0.25098039215686274, 0.7490196078431373, 1.0,...(0.13725490196078433, 0.8627450980392157, 1.0,...(0.24705882352941178, 0.7529411764705882, 1.0,...(0.21176470588235294, 0.788235294117647, 1.0, ...(0.19215686274509802, 0.807843137254902, 1.0, ...(0.3254901960784314, 0.6745098039215687, 1.0, ...(0.3333333333333333, 0.6666666666666667, 1.0, ...(0.19215686274509802, 0.807843137254902, 1.0, ...(0.2196078431372549, 0.7803921568627451, 1.0, ......(0.6352941176470588, 0.3647058823529412, 1.0, ...(0.7215686274509804, 0.2784313725490196, 1.0, ...(0.7803921568627451, 0.2196078431372549, 1.0, ...(0.9921568627450981, 0.007843137254901933, 1.0...(0.6509803921568628, 0.34901960784313724, 1.0,...(0.6431372549019607, 0.3568627450980393, 1.0, ...(0.788235294117647, 0.21176470588235297, 1.0, ...(0.8196078431372549, 0.18039215686274512, 1.0,...(0.7333333333333333, 0.2666666666666667, 1.0, ...(0.0, 1.0, 1.0, 1.0)
10(0.0, 1.0, 1.0, 1.0)(0.34901960784313724, 0.6509803921568628, 1.0,...(0.24705882352941178, 0.7529411764705882, 1.0,...(0.2901960784313725, 0.7098039215686275, 1.0, ...(0.14901960784313725, 0.8509803921568627, 1.0,...(0.20392156862745098, 0.7960784313725491, 1.0,...(0.43529411764705883, 0.5647058823529412, 1.0,...(0.3764705882352941, 0.6235294117647059, 1.0, ...(0.18823529411764706, 0.8117647058823529, 1.0,...(0.2901960784313725, 0.7098039215686275, 1.0, ......(0.7529411764705882, 0.24705882352941178, 1.0,...(0.7176470588235294, 0.2823529411764706, 1.0, ...(0.8941176470588235, 0.10588235294117654, 1.0,...(0.9607843137254902, 0.039215686274509776, 1.0...(0.6078431372549019, 0.3921568627450981, 1.0, ...(0.7098039215686275, 0.2901960784313725, 1.0, ...(0.7254901960784313, 0.27450980392156865, 1.0,...(0.9647058823529412, 0.03529411764705881, 1.0,...(0.807843137254902, 0.19215686274509802, 1.0, ...(0.0, 1.0, 1.0, 1.0)
11(0.2392156862745098, 0.7607843137254902, 1.0, ...(0.3686274509803922, 0.6313725490196078, 1.0, ...(0.3058823529411765, 0.6941176470588235, 1.0, ...(0.3607843137254902, 0.6392156862745098, 1.0, ...(0.20392156862745098, 0.7960784313725491, 1.0,...(0.25098039215686274, 0.7490196078431373, 1.0,...(0.396078431372549, 0.603921568627451, 1.0, 1.0)(0.34509803921568627, 0.6549019607843137, 1.0,...(0.19607843137254902, 0.803921568627451, 1.0, ...(0.27450980392156865, 0.7254901960784313, 1.0,......(0.611764705882353, 0.388235294117647, 1.0, 1.0)(0.6352941176470588, 0.3647058823529412, 1.0, ...(0.611764705882353, 0.388235294117647, 1.0, 1.0)(0.7098039215686275, 0.2901960784313725, 1.0, ...(0.615686274509804, 0.38431372549019605, 1.0, ...(0.5372549019607843, 0.4627450980392157, 1.0, ...(0.5843137254901961, 0.4156862745098039, 1.0, ...(0.8588235294117647, 0.14117647058823535, 1.0,...(0.6745098039215687, 0.3254901960784313, 1.0, ...(0.0, 1.0, 1.0, 1.0)
12(0.21568627450980393, 0.7843137254901961, 1.0,...(0.30196078431372547, 0.6980392156862745, 1.0,...(0.22352941176470587, 0.7764705882352941, 1.0,...(0.2588235294117647, 0.7411764705882353, 1.0, ...(0.19215686274509802, 0.807843137254902, 1.0, ...(0.30196078431372547, 0.6980392156862745, 1.0,...(0.3529411764705882, 0.6470588235294118, 1.0, ...(0.3568627450980392, 0.6431372549019607, 1.0, ...(0.34901960784313724, 0.6509803921568628, 1.0,...(0.4666666666666667, 0.5333333333333333, 1.0, ......(0.5098039215686274, 0.4901960784313726, 1.0, ...(0.5882352941176471, 0.4117647058823529, 1.0, ...(0.5294117647058824, 0.47058823529411764, 1.0,...(0.6078431372549019, 0.3921568627450981, 1.0, ...(0.5372549019607843, 0.4627450980392157, 1.0, ...(0.4980392156862745, 0.5019607843137255, 1.0, ...(0.5568627450980392, 0.44313725490196076, 1.0,...(0.6392156862745098, 0.36078431372549025, 1.0,...(0.6078431372549019, 0.3921568627450981, 1.0, ...(0.0, 1.0, 1.0, 1.0)
\n", + "

12 rows × 41 columns

\n", + "
" + ], + "text/plain": [ + "year 1978 \\\n", + "month \n", + "1 (0.0, 1.0, 1.0, 1.0) \n", + "2 (0.0, 1.0, 1.0, 1.0) \n", + "3 (0.0, 1.0, 1.0, 1.0) \n", + "4 (0.0, 1.0, 1.0, 1.0) \n", + "5 (0.0, 1.0, 1.0, 1.0) \n", + "6 (0.0, 1.0, 1.0, 1.0) \n", + "7 (0.0, 1.0, 1.0, 1.0) \n", + "8 (0.0, 1.0, 1.0, 1.0) \n", + "9 (0.0, 1.0, 1.0, 1.0) \n", + "10 (0.0, 1.0, 1.0, 1.0) \n", + "11 (0.2392156862745098, 0.7607843137254902, 1.0, ... \n", + "12 (0.21568627450980393, 0.7843137254901961, 1.0,... \n", + "\n", + "year 1979 \\\n", + "month \n", + "1 (0.19607843137254902, 0.803921568627451, 1.0, ... \n", + "2 (0.22352941176470587, 0.7764705882352941, 1.0,... \n", + "3 (0.20784313725490194, 0.7921568627450981, 1.0,... \n", + "4 (0.2392156862745098, 0.7607843137254902, 1.0, ... \n", + "5 (0.2784313725490196, 0.7215686274509804, 1.0, ... \n", + "6 (0.2549019607843137, 0.7450980392156863, 1.0, ... \n", + "7 (0.21568627450980393, 0.7843137254901961, 1.0,... \n", + "8 (0.26666666666666666, 0.7333333333333334, 1.0,... \n", + "9 (0.25098039215686274, 0.7490196078431373, 1.0,... \n", + "10 (0.34901960784313724, 0.6509803921568628, 1.0,... \n", + "11 (0.3686274509803922, 0.6313725490196078, 1.0, ... \n", + "12 (0.30196078431372547, 0.6980392156862745, 1.0,... \n", + "\n", + "year 1980 \\\n", + "month \n", + "1 (0.32156862745098036, 0.6784313725490196, 1.0,... \n", + "2 (0.27058823529411763, 0.7294117647058824, 1.0,... \n", + "3 (0.30196078431372547, 0.6980392156862745, 1.0,... \n", + "4 (0.23529411764705882, 0.7647058823529411, 1.0,... \n", + "5 (0.2980392156862745, 0.7019607843137254, 1.0, ... \n", + "6 (0.3137254901960784, 0.6862745098039216, 1.0, ... \n", + "7 (0.27058823529411763, 0.7294117647058824, 1.0,... \n", + "8 (0.3137254901960784, 0.6862745098039216, 1.0, ... \n", + "9 (0.13725490196078433, 0.8627450980392157, 1.0,... \n", + "10 (0.24705882352941178, 0.7529411764705882, 1.0,... \n", + "11 (0.3058823529411765, 0.6941176470588235, 1.0, ... \n", + "12 (0.22352941176470587, 0.7764705882352941, 1.0,... \n", + "\n", + "year 1981 \\\n", + "month \n", + "1 (0.3254901960784314, 0.6745098039215687, 1.0, ... \n", + "2 (0.3568627450980392, 0.6431372549019607, 1.0, ... \n", + "3 (0.3803921568627451, 0.6196078431372549, 1.0, ... \n", + "4 (0.3254901960784314, 0.6745098039215687, 1.0, ... \n", + "5 (0.27058823529411763, 0.7294117647058824, 1.0,... \n", + "6 (0.27058823529411763, 0.7294117647058824, 1.0,... \n", + "7 (0.21176470588235294, 0.788235294117647, 1.0, ... \n", + "8 (0.3137254901960784, 0.6862745098039216, 1.0, ... \n", + "9 (0.24705882352941178, 0.7529411764705882, 1.0,... \n", + "10 (0.2901960784313725, 0.7098039215686275, 1.0, ... \n", + "11 (0.3607843137254902, 0.6392156862745098, 1.0, ... \n", + "12 (0.2588235294117647, 0.7411764705882353, 1.0, ... \n", + "\n", + "year 1982 \\\n", + "month \n", + "1 (0.2549019607843137, 0.7450980392156863, 1.0, ... \n", + "2 (0.30980392156862746, 0.6901960784313725, 1.0,... \n", + "3 (0.3058823529411765, 0.6941176470588235, 1.0, ... \n", + "4 (0.2392156862745098, 0.7607843137254902, 1.0, ... \n", + "5 (0.24313725490196078, 0.7568627450980392, 1.0,... \n", + "6 (0.23137254901960785, 0.7686274509803921, 1.0,... \n", + "7 (0.21176470588235294, 0.788235294117647, 1.0, ... \n", + "8 (0.2549019607843137, 0.7450980392156863, 1.0, ... \n", + "9 (0.21176470588235294, 0.788235294117647, 1.0, ... \n", + "10 (0.14901960784313725, 0.8509803921568627, 1.0,... \n", + "11 (0.20392156862745098, 0.7960784313725491, 1.0,... \n", + "12 (0.19215686274509802, 0.807843137254902, 1.0, ... \n", + "\n", + "year 1983 \\\n", + "month \n", + "1 (0.3058823529411765, 0.6941176470588235, 1.0, ... \n", + "2 (0.27450980392156865, 0.7254901960784313, 1.0,... \n", + "3 (0.2901960784313725, 0.7098039215686275, 1.0, ... \n", + "4 (0.3137254901960784, 0.6862745098039216, 1.0, ... \n", + "5 (0.3568627450980392, 0.6431372549019607, 1.0, ... \n", + "6 (0.30980392156862746, 0.6901960784313725, 1.0,... \n", + "7 (0.12549019607843137, 0.8745098039215686, 1.0,... \n", + "8 (0.2588235294117647, 0.7411764705882353, 1.0, ... \n", + "9 (0.19215686274509802, 0.807843137254902, 1.0, ... \n", + "10 (0.20392156862745098, 0.7960784313725491, 1.0,... \n", + "11 (0.25098039215686274, 0.7490196078431373, 1.0,... \n", + "12 (0.30196078431372547, 0.6980392156862745, 1.0,... \n", + "\n", + "year 1984 \\\n", + "month \n", + "1 (0.43137254901960786, 0.5686274509803921, 1.0,... \n", + "2 (0.4196078431372549, 0.580392156862745, 1.0, 1.0) \n", + "3 (0.39215686274509803, 0.607843137254902, 1.0, ... \n", + "4 (0.3254901960784314, 0.6745098039215687, 1.0, ... \n", + "5 (0.3411764705882353, 0.6588235294117647, 1.0, ... \n", + "6 (0.32941176470588235, 0.6705882352941177, 1.0,... \n", + "7 (0.30196078431372547, 0.6980392156862745, 1.0,... \n", + "8 (0.3137254901960784, 0.6862745098039216, 1.0, ... \n", + "9 (0.3254901960784314, 0.6745098039215687, 1.0, ... \n", + "10 (0.43529411764705883, 0.5647058823529412, 1.0,... \n", + "11 (0.396078431372549, 0.603921568627451, 1.0, 1.0) \n", + "12 (0.3529411764705882, 0.6470588235294118, 1.0, ... \n", + "\n", + "year 1985 \\\n", + "month \n", + "1 (0.3607843137254902, 0.6392156862745098, 1.0, ... \n", + "2 (0.396078431372549, 0.603921568627451, 1.0, 1.0) \n", + "3 (0.3137254901960784, 0.6862745098039216, 1.0, ... \n", + "4 (0.25098039215686274, 0.7490196078431373, 1.0,... \n", + "5 (0.22745098039215686, 0.7725490196078432, 1.0,... \n", + "6 (0.3254901960784314, 0.6745098039215687, 1.0, ... \n", + "7 (0.33725490196078434, 0.6627450980392157, 1.0,... \n", + "8 (0.403921568627451, 0.596078431372549, 1.0, 1.0) \n", + "9 (0.3333333333333333, 0.6666666666666667, 1.0, ... \n", + "10 (0.3764705882352941, 0.6235294117647059, 1.0, ... \n", + "11 (0.34509803921568627, 0.6549019607843137, 1.0,... \n", + "12 (0.3568627450980392, 0.6431372549019607, 1.0, ... \n", + "\n", + "year 1986 \\\n", + "month \n", + "1 (0.30196078431372547, 0.6980392156862745, 1.0,... \n", + "2 (0.3137254901960784, 0.6862745098039216, 1.0, ... \n", + "3 (0.2980392156862745, 0.7019607843137254, 1.0, ... \n", + "4 (0.3411764705882353, 0.6588235294117647, 1.0, ... \n", + "5 (0.39215686274509803, 0.607843137254902, 1.0, ... \n", + "6 (0.3764705882352941, 0.6235294117647059, 1.0, ... \n", + "7 (0.24313725490196078, 0.7568627450980392, 1.0,... \n", + "8 (0.2823529411764706, 0.7176470588235294, 1.0, ... \n", + "9 (0.19215686274509802, 0.807843137254902, 1.0, ... \n", + "10 (0.18823529411764706, 0.8117647058823529, 1.0,... \n", + "11 (0.19607843137254902, 0.803921568627451, 1.0, ... \n", + "12 (0.34901960784313724, 0.6509803921568628, 1.0,... \n", + "\n", + "year 1987 \\\n", + "month \n", + "1 (0.3411764705882353, 0.6588235294117647, 1.0, ... \n", + "2 (0.28627450980392155, 0.7137254901960784, 1.0,... \n", + "3 (0.34901960784313724, 0.6509803921568628, 1.0,... \n", + "4 (0.26666666666666666, 0.7333333333333334, 1.0,... \n", + "5 (0.30196078431372547, 0.6980392156862745, 1.0,... \n", + "6 (0.26666666666666666, 0.7333333333333334, 1.0,... \n", + "7 (0.2, 0.8, 1.0, 1.0) \n", + "8 (0.4196078431372549, 0.580392156862745, 1.0, 1.0) \n", + "9 (0.2196078431372549, 0.7803921568627451, 1.0, ... \n", + "10 (0.2901960784313725, 0.7098039215686275, 1.0, ... \n", + "11 (0.27450980392156865, 0.7254901960784313, 1.0,... \n", + "12 (0.4666666666666667, 0.5333333333333333, 1.0, ... \n", + "\n", + "year ... \\\n", + "month ... \n", + "1 ... \n", + "2 ... \n", + "3 ... \n", + "4 ... \n", + "5 ... \n", + "6 ... \n", + "7 ... \n", + "8 ... \n", + "9 ... \n", + "10 ... \n", + "11 ... \n", + "12 ... \n", + "\n", + "year 2009 \\\n", + "month \n", + "1 (0.48627450980392156, 0.5137254901960784, 1.0,... \n", + "2 (0.5254901960784314, 0.4745098039215686, 1.0, ... \n", + "3 (0.5215686274509804, 0.4784313725490196, 1.0, ... \n", + "4 (0.44705882352941173, 0.5529411764705883, 1.0,... \n", + "5 (0.4196078431372549, 0.580392156862745, 1.0, 1.0) \n", + "6 (0.48627450980392156, 0.5137254901960784, 1.0,... \n", + "7 (0.6, 0.4, 1.0, 1.0) \n", + "8 (0.6549019607843137, 0.34509803921568627, 1.0,... \n", + "9 (0.6352941176470588, 0.3647058823529412, 1.0, ... \n", + "10 (0.7529411764705882, 0.24705882352941178, 1.0,... \n", + "11 (0.611764705882353, 0.388235294117647, 1.0, 1.0) \n", + "12 (0.5098039215686274, 0.4901960784313726, 1.0, ... \n", + "\n", + "year 2010 \\\n", + "month \n", + "1 (0.5490196078431373, 0.4509803921568627, 1.0, ... \n", + "2 (0.5607843137254902, 0.4392156862745098, 1.0, ... \n", + "3 (0.48627450980392156, 0.5137254901960784, 1.0,... \n", + "4 (0.42745098039215684, 0.5725490196078431, 1.0,... \n", + "5 (0.48627450980392156, 0.5137254901960784, 1.0,... \n", + "6 (0.6392156862745098, 0.36078431372549025, 1.0,... \n", + "7 (0.6705882352941176, 0.3294117647058824, 1.0, ... \n", + "8 (0.7019607843137254, 0.29803921568627456, 1.0,... \n", + "9 (0.7215686274509804, 0.2784313725490196, 1.0, ... \n", + "10 (0.7176470588235294, 0.2823529411764706, 1.0, ... \n", + "11 (0.6352941176470588, 0.3647058823529412, 1.0, ... \n", + "12 (0.5882352941176471, 0.4117647058823529, 1.0, ... \n", + "\n", + "year 2011 \\\n", + "month \n", + "1 (0.6196078431372549, 0.3803921568627451, 1.0, ... \n", + "2 (0.611764705882353, 0.388235294117647, 1.0, 1.0) \n", + "3 (0.6078431372549019, 0.3921568627450981, 1.0, ... \n", + "4 (0.5176470588235293, 0.48235294117647065, 1.0,... \n", + "5 (0.5294117647058824, 0.47058823529411764, 1.0,... \n", + "6 (0.6313725490196078, 0.3686274509803922, 1.0, ... \n", + "7 (0.803921568627451, 0.196078431372549, 1.0, 1.0) \n", + "8 (0.803921568627451, 0.196078431372549, 1.0, 1.0) \n", + "9 (0.7803921568627451, 0.2196078431372549, 1.0, ... \n", + "10 (0.8941176470588235, 0.10588235294117654, 1.0,... \n", + "11 (0.611764705882353, 0.388235294117647, 1.0, 1.0) \n", + "12 (0.5294117647058824, 0.47058823529411764, 1.0,... \n", + "\n", + "year 2012 \\\n", + "month \n", + "1 (0.5764705882352941, 0.42352941176470593, 1.0,... \n", + "2 (0.5607843137254902, 0.4392156862745098, 1.0, ... \n", + "3 (0.4745098039215686, 0.5254901960784314, 1.0, ... \n", + "4 (0.4156862745098039, 0.5843137254901961, 1.0, ... \n", + "5 (0.4549019607843137, 0.5450980392156863, 1.0, ... \n", + "6 (0.6823529411764706, 0.3176470588235294, 1.0, ... \n", + "7 (0.792156862745098, 0.207843137254902, 1.0, 1.0) \n", + "8 (0.9764705882352941, 0.02352941176470591, 1.0,... \n", + "9 (0.9921568627450981, 0.007843137254901933, 1.0... \n", + "10 (0.9607843137254902, 0.039215686274509776, 1.0... \n", + "11 (0.7098039215686275, 0.2901960784313725, 1.0, ... \n", + "12 (0.6078431372549019, 0.3921568627450981, 1.0, ... \n", + "\n", + "year 2013 \\\n", + "month \n", + "1 (0.5490196078431373, 0.4509803921568627, 1.0, ... \n", + "2 (0.5411764705882353, 0.45882352941176474, 1.0,... \n", + "3 (0.5058823529411764, 0.49411764705882355, 1.0,... \n", + "4 (0.4823529411764706, 0.5176470588235293, 1.0, ... \n", + "5 (0.44705882352941173, 0.5529411764705883, 1.0,... \n", + "6 (0.4784313725490196, 0.5215686274509804, 1.0, ... \n", + "7 (0.7019607843137254, 0.29803921568627456, 1.0,... \n", + "8 (0.6980392156862745, 0.3019607843137255, 1.0, ... \n", + "9 (0.6509803921568628, 0.34901960784313724, 1.0,... \n", + "10 (0.6078431372549019, 0.3921568627450981, 1.0, ... \n", + "11 (0.615686274509804, 0.38431372549019605, 1.0, ... \n", + "12 (0.5372549019607843, 0.4627450980392157, 1.0, ... \n", + "\n", + "year 2014 \\\n", + "month \n", + "1 (0.5882352941176471, 0.4117647058823529, 1.0, ... \n", + "2 (0.6235294117647059, 0.3764705882352941, 1.0, ... \n", + "3 (0.5725490196078431, 0.4274509803921569, 1.0, ... \n", + "4 (0.5372549019607843, 0.4627450980392157, 1.0, ... \n", + "5 (0.5254901960784314, 0.4745098039215686, 1.0, ... \n", + "6 (0.5529411764705883, 0.44705882352941173, 1.0,... \n", + "7 (0.7098039215686275, 0.2901960784313725, 1.0, ... \n", + "8 (0.6823529411764706, 0.3176470588235294, 1.0, ... \n", + "9 (0.6431372549019607, 0.3568627450980393, 1.0, ... \n", + "10 (0.7098039215686275, 0.2901960784313725, 1.0, ... \n", + "11 (0.5372549019607843, 0.4627450980392157, 1.0, ... \n", + "12 (0.4980392156862745, 0.5019607843137255, 1.0, ... \n", + "\n", + "year 2015 \\\n", + "month \n", + "1 (0.5647058823529412, 0.43529411764705883, 1.0,... \n", + "2 (0.615686274509804, 0.38431372549019605, 1.0, ... \n", + "3 (0.6470588235294118, 0.3529411764705882, 1.0, ... \n", + "4 (0.5568627450980392, 0.44313725490196076, 1.0,... \n", + "5 (0.5607843137254902, 0.4392156862745098, 1.0, ... \n", + "6 (0.6039215686274509, 0.39607843137254906, 1.0,... \n", + "7 (0.6274509803921569, 0.37254901960784315, 1.0,... \n", + "8 (0.7843137254901961, 0.21568627450980393, 1.0,... \n", + "9 (0.788235294117647, 0.21176470588235297, 1.0, ... \n", + "10 (0.7254901960784313, 0.27450980392156865, 1.0,... \n", + "11 (0.5843137254901961, 0.4156862745098039, 1.0, ... \n", + "12 (0.5568627450980392, 0.44313725490196076, 1.0,... \n", + "\n", + "year 2016 \\\n", + "month \n", + "1 (0.6078431372549019, 0.3921568627450981, 1.0, ... \n", + "2 (0.6666666666666666, 0.33333333333333337, 1.0,... \n", + "3 (0.6431372549019607, 0.3568627450980393, 1.0, ... \n", + "4 (0.596078431372549, 0.403921568627451, 1.0, 1.0) \n", + "5 (0.6862745098039216, 0.3137254901960784, 1.0, ... \n", + "6 (0.6862745098039216, 0.3137254901960784, 1.0, ... \n", + "7 (0.7450980392156863, 0.2549019607843137, 1.0, ... \n", + "8 (0.8431372549019608, 0.1568627450980392, 1.0, ... \n", + "9 (0.8196078431372549, 0.18039215686274512, 1.0,... \n", + "10 (0.9647058823529412, 0.03529411764705881, 1.0,... \n", + "11 (0.8588235294117647, 0.14117647058823535, 1.0,... \n", + "12 (0.6392156862745098, 0.36078431372549025, 1.0,... \n", + "\n", + "year 2017 \\\n", + "month \n", + "1 (0.7215686274509804, 0.2784313725490196, 1.0, ... \n", + "2 (0.6705882352941176, 0.3294117647058824, 1.0, ... \n", + "3 (0.6666666666666666, 0.33333333333333337, 1.0,... \n", + "4 (0.611764705882353, 0.388235294117647, 1.0, 1.0) \n", + "5 (0.5411764705882353, 0.45882352941176474, 1.0,... \n", + "6 (0.6392156862745098, 0.36078431372549025, 1.0,... \n", + "7 (0.7529411764705882, 0.24705882352941178, 1.0,... \n", + "8 (0.8313725490196078, 0.16862745098039222, 1.0,... \n", + "9 (0.7333333333333333, 0.2666666666666667, 1.0, ... \n", + "10 (0.807843137254902, 0.19215686274509802, 1.0, ... \n", + "11 (0.6745098039215687, 0.3254901960784313, 1.0, ... \n", + "12 (0.6078431372549019, 0.3921568627450981, 1.0, ... \n", + "\n", + "year 2018 \n", + "month \n", + "1 (0.6980392156862745, 0.3019607843137255, 1.0, ... \n", + "2 (0.7254901960784313, 0.27450980392156865, 1.0,... \n", + "3 (0.6627450980392157, 0.33725490196078434, 1.0,... \n", + "4 (0.0, 1.0, 1.0, 1.0) \n", + "5 (0.0, 1.0, 1.0, 1.0) \n", + "6 (0.0, 1.0, 1.0, 1.0) \n", + "7 (0.0, 1.0, 1.0, 1.0) \n", + "8 (0.0, 1.0, 1.0, 1.0) \n", + "9 (0.0, 1.0, 1.0, 1.0) \n", + "10 (0.0, 1.0, 1.0, 1.0) \n", + "11 (0.0, 1.0, 1.0, 1.0) \n", + "12 (0.0, 1.0, 1.0, 1.0) \n", + "\n", + "[12 rows x 41 columns]" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmap = cm.get_cmap('cool')\n", + "sea_ice_month_year_colour = (1 - sea_ice_month_year_dnorm).applymap(cmap)\n", + "sea_ice_month_year_colour" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Quick check it works for one chart." + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.bar(sea_ice_month_year_diff.index, sea_ice_month_year_diff[2017], color=sea_ice_month_year_colour[2017])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now replot the data for each year, but using the colours we manually specified." + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sea_ice_month_year_diff.loc[:, 1988:2017].plot(legend=None, subplots=True, layout=(6, 5), sharey=True, figsize=(15, 15), kind='bar', color=sea_ice_month_year_colour);\n", + "f, axes = plt.subplots(6, 5, sharey=True, figsize=(15, 15), facecolor='darkslateblue')\n", + "for r, row in enumerate(axes):\n", + " for c, ax in enumerate(row):\n", + " yr = 1988 + r * 5 + c\n", + " ax.bar(sea_ice_month_year_diff.index, \n", + " sea_ice_month_year_diff[yr], \n", + " color=sea_ice_month_year_colour[yr])\n", + " ax.set_frame_on(False)\n", + " ax.set_axis_off()\n", + " ax.set_title(str(yr), color='lightsteelblue')\n", + "# ax.set_facecolor('darkslateblue')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And again, plot for each month, one bar per year. \n", + "\n", + "Restrict to just the past 30 years of full data." + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sea_ice_month_year_diff.loc[:, 1988:2017].plot(legend=None, subplots=True, layout=(6, 5), sharey=True, figsize=(15, 15), kind='bar', color=sea_ice_month_year_colour);\n", + "f, axes = plt.subplots(3, 4, sharey=True, figsize=(15, 15), facecolor='darkslateblue')\n", + "for r, row in enumerate(axes):\n", + " for c, ax in enumerate(row):\n", + " mt = r * 4 + c + 1\n", + " ax.bar(sea_ice_month_year_diff.loc[:, 1988:2017].T.index, \n", + " sea_ice_month_year_diff.loc[:, 1988:2017].T[mt], \n", + " color=sea_ice_month_year_colour.loc[:, 1988:2017].T[mt])\n", + " ax.set_frame_on(False)\n", + " ax.set_axis_off()\n", + " ax.set_title(datetime(1900, mt, 1).strftime('%B'), color='lightsteelblue')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/20180409/Arctic Sea Ice Extent.xlsx b/20180409/Arctic Sea Ice Extent.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..8a0a2d23ed6589ea5dea0371a06ee81e9a8a6663 GIT binary patch literal 232920 zcmeFY^MB;Q*C!e$6Ki7IwkEbGw$-t1XJXs7ZBHf>vxA8ywtaiP&$IXLeeM1SyZu9_ ztNK*csdL_kpN_H|BornX3>X|37#Jy-$wjV}0XP^~0u&e+1{fTKu9$rFrZl1OEXI|7Rs%YU?8}3H*nGGMd>uIYdd%L#a$gyr!#F(Io0d)g>ZsyVPGs=E! z+$3im?aKm8d|_5xL&I2$Y_JTc_F+{H@f{J_8a%77SVDn&x$EN^Xxn3*h*dfjyc58| zKZ+V#XgohF7f|=+FcxjBX?+ZC_ZVfMV#s_pu-pwwl}WX})0(JuI=`gL^|{b=urC>z zLTs^wC-fq3{@#Y^?&Bs>;J|CDjJ~VV8A|}r_xtMkdiT@B#oQ^sba8#PGGx@v6AmH` zo?iu12E?>r)w0>o_>Fw~S}Z?xHAJ%cO1XnUFtUwr)|D5ZV5W#eX2D-jS*S>5Hb{|UO=@at-?YQf9KooUyfRw^7;{4CVF~85*?165`#dX?o z0NV!)7})10B$)F5&n#QjS;+4|Sd#}?9RkQK4V}$xU6`5vz5icx{6E+R|EH_hBq=Bj zvml0FO20)+JT7e}po+?Qh)8#ns`&@XY@oEp7E|DF_EQs}s^Nt|N(J=#zx@Pm3dEjF zkUs2k)Wo1;@{_lD)P|?OIJv>nQ8}kcI@Roqpt&#IFFj;R$$HVa_r}vzcT^P0O>UD* zE?kQ@qRudB;(fs=B?!k7%nZ^QQ_$Wrd8z|n68(N&8{W{)U2u{-lO3>7RWc6rC$<@> zams@G0G$?&>#1C?5$-R;)e~2f!7;=YTc8N_zZyx9P)hnONFrSzBf$fM1NXFL{x3W6 zaBv2gI5+_QMXGvJ^Q2HNHS>{pGdg4_rTYA?b^1dB(u`&YCzS7x#^^-~nM$rf55 z6)C&_-8Md5m%i4r95bXtxYy@ly5J4g{KXrs8+)*U=WiRb|{u)Nj*JS zoZYk1F@FCt)q;+;6^R~z@Bi-HHE+SXUq2Yzh zUn83uU6Ef$mD0Lp&2h|YTCk&9$f6ukk&7v29E}|11#yrIosd zkLnDG0vlp9d(xFm@}v0|d~wFtLmlne9j3Y&o4PR}B~BWGcdP(9YbXw^BLtJM)awL= zDSC_VYMBf}`)#3rzTEw_5b>vFWpk#T$o1_>kKa#X3=Qv-Ovm%~5R?4Hrp$Gotl4Eg zu5d&A(|n^eL|CXTr~T5w1#(egwc_?C9@J&>97@G3r>?Oe3A4_?~=AUpn0!eMbQ#s~ui7Mqq1|{v%tXb*Qf2 z$z{JEwsRhYA>M$nYl?21W+=+jk2c@2D^GjgKVk-GRT1>4)gC1$;XLdcvT=3LVi>5) zqwBO-;a%CoZey%$h28V==sKD$B0CIwvnck}C=W0~=S$RCJKx?A{&z4J*@$8o2EqGZ z3W51wFn6&sb~ZQr?&@r9Z|U;SF^b2_*+Z}*hCily!%kJZtFSdx(4~Yzr(n!NinB9e zB=U%ziQGMy(W&2GG~a)-^?1zrBdKm;9C4~1A-s`Jdb75(a{TlVM1toDSINTrMmm@q z;NL_BuQ0XisFvF{CjCtnxrq+LsoOU_D}<}YlKguq%Y<|ZZ>GXZZ#DrL`JK6iTZc#n zuYu+IXJb2huX+HS>~clB#m@F7dUq=AU9IBn*D7vNlquh>RIMG#@sxEj63veNm4IIB z+IPtR-K7VyQTr5O!NA5y{*^NSv29l?b31e9|GcyQyYrd$bPPT>W$w#l0mX1OT@t!-y28tiOIJ@^<9l)U$v6WK6=Z`AM^aZZ(XnFdo#SHG7yH6(hU2QZv=CGtY%Owqy+$YXgGY8 zq*H#NnSZf=Mqqf81LpfXquEWujjuvJi`y2a5zFub>99uO!V^0NEO>&pseX)050U3% zjS~=tY-M24m#Ws{kS9GE1e+-P__2|apCP5n2KZF=DDAK&iX#1>+19LTq%3UQ8*UPf z3_DW2AS7MCG0tP|)Tje`VwNEfcQhr$~?AE+gpTgRjHPmnJ zB&>=LTPaWrXb2}p?D`{tP%lC&q&FOqYf)}_x>A5?s5`tOcW$8Eeg{w%mvQb0X9{bz z@#tLtYBqEfhp~kiBGQ{gJEM|-RDGuUU0#cf`#|T%1)C69AcQJ~%QHL5WlC1huy-?6c8F_RY3tLI5zEPAGzUqUg$;hO9+Z%ns5;qBR zo}kai)$wgazhJ=K(etojQ)erkoINb%_wN@=@rIx8@7P<0{U28+*WAa8)Yn5J{cq1x z>HVMAeD@8z8(*3G{BCZJld-q`?hlpX3DrRTe%zDX2=nc~!?l>NNf2y*k zuC5&O%#JbV`rETclf~*62 z-zF=CI`YN*H(_JXkIY_TY}eq181r?3w$;|@D0Y6n+sf4SZk+F~KgMu;+J#)SW{ugW z4m;;G$&6A7&tz-pCw{Bn=NN&TCshHKX`R#I=*=ImQ|uZn9h`zav1p>uwo9Jz#5ZO2 zc@A>aymRA_75;ES91!ovEYPk%AF(8L_sg8d!f9Kkdt+Vr>O0c=J2a0Q8Ey%l_d((M z+TfBrv_DLvssMrojKksJ5wSOeBfoy=iRV`9*j}V$uV!syF`) z$h_4VyMMSBvB~W54f;uSd2^Jf)YEvtPMUHt1wGm=>fr~~Gxr0Qr2?qZMcruw{+sM6 zi!*~^BZZuC&xz_AHQRdpETWE>`Q|`QwEVrACp%SvX-R||{nz~2+E>L}&-mB{Ma#~b zuB=J~=%i;)TD@4YblI{a9l^`3+Qn14=2(__mSF512L9=^SM9N`%!oxcrB0Jhd}sEP zSQIpX1Q~Tl5Ea$;*%5yG=T;lIb~yAKD}hcpD?V689pf^jE0N>sYo1i1VwiAnt`Z7I(u2d^u*atsIL4Io@|5U*5R8t zDtU^;K|9~;96zc?w+U+~)(D1riDTn?A^8ru(Mq(mnCW5Tq5@+=oKL1%gR&dGCLTO{ z>>B;FTIq?N=S_(t=ZjHxFUl~>8{&+r`!%OTPmH6qmNi&-$|R6c1^Ljcw8>4p^wR~# z`mbf#DBa1TYw~df|2|Unjo4xnU8()MBBOI1fTpBp_(7O);c0^W`RJmsoK z%AyYGJAu$!{0j461={itdos)cB6)nV>98dL8L zdM9plD1VF+RrHV-PG7+FjAtd>t?S2Em@f7X7^lO~Vq)YCe_^-oyzKVrt@%1#qLJjj zw*D;8wsW@$vuG8hf$CK(o;_RU3p1$Iy+rcfY?vbuxauWGLSA38S3c#2Z*^|hg|neF z_b=A2fK8RJ z>oE6y)IocOQ2~J*+&ogL-K#@|G@JU0nj|vf%%t|Y~)U$wW z3_$__q(1nkz1e?R>N$JmLK%>3}g$Hvo?M+mEJ-E?Nzmh<=7>wip(@G`V7( zRGKW!5|uQ(HtUC223hA`$&P6g+yn+X!{urNJ+o>!>ShXst2C2i9jtAC?Y|PZ)2ans zjTtcdFxs_v<`7{j=4R?hEIskIc0a!YVr4s^-3fvjU6$xCdoW*XvFTh zFAP-jQuepVekQrg@E%6f z=rmN3rz4>j6?P*BfGARsd&MS}6Nr2X^Qg%(CS`=eY7bTM%0mwBTZx2jfW75okD8Qk zFX+KZDgQnWs?DVuBgL{%iV>L*~=#)1_dcI4}TI2xwNaG!C-gVGOKCw+58 z^gc|?{~du+ck-)jn!>f4Y;D(?hct%u)&dnO$l=~^8%1y2S>I+~8)HsJND7~W`1t+z zue-b;SVV|%lou{kR{ebU`$|Lt5|%50?PdsISb!_5iyw?WaB)H1C)KoIqM86w!k`qu zUJQBQU?FSRsmTiy-Sd-Gd4EY{99}^ALOm{stlk+B(<}Ajm_MglIaM|1|0DU0l^+WM z`?L2Sy?WeWM6axeW9C9y{aN&|Wn^2Lbsxh~eM06s;Uju`yrYzR|OU^BsBe zC>5C}O3|(X&vm3*LX%k4BBc2I6?d_Zfcx315IK#_ivdp9I?Kn?SOqD4 zORKz^=Eq{d>(=Qv7V^gP;~*C)4V-uVS1mr74#WY#i08gFkbhY$mTil7BJC}zUli3|F&P}3}4CfPsE`pCPyPIaNMVyihU037qvo9J!Mo{RR!>) zin0QlcO5+j)K*nH7zx~rcqvk7V(cg;Y*7JdQpx}_Xd#?X-_kKe(LQA{kzS$os=Gu4 z7|)zq9b8*=h{^MW#na+iS>k6SW#)u7x}g2w|E58KxraEeFcjuHxu5H762kKxY+=fG zPF<_j{R5+XL0swut+baD>gry-B>Ne=He1Ia>`vn8i?bG=!dG6Tb$_CK+ z%Wn+md#4m(hc}^2QSF}kgT-|+e$Bi#j)(|3-%ZyjA{@0?W?dS=3J1y1M~s6Aa$=x2 zSF|{Sak12fX2ybBW{nb|291NX@~058IJAn+1!aKUuW!9QA{H<#$Bvrl{mh^aV@Ieyi`&TZ{=j#L{@F;NGh>^EB~}D)z0^ zErX0XN3Kff7wJV-b`)d@gi(lvhC3NFIl@cpqhUD1%b6_adZ^Q4Ro;gU*3=<50gk_K z7&6?sB8y~~mDp_i_N(1aNmb-zPSS#&vi6y+m?Yz@jGIEzM7+fTdXjc;y=V+F!vaaL zuZ-a|Xm`BtK+ZjKfpG`ZyV$Rk3RkaqE*2$AZfW!~q*4}lN?*b?J=~MEq}%tsqA|sT z)@EgdooVsoq-BiXa8r3R8HX1AFp6O%M;_=KUh*AQ<%kw9G6+h_>H}I{!C5W|7>nGZ z^Vh${xjsB|zo-&GeZQ@Bm;?mTj!0YPA5ZFMj9w|iO-!%AZyAMbuXo8yzVxFci#UFw zt_yDGJPEFd7%*Q^Jqpg`DqdU;5421l2W&W9pb-2mE1%iv#hmJ`Rpq(S=L)f#2(WyV zx6AV}dYtB;Ve=_8)e&qbeirP%^z5B&K6~xs_qq~|-@DNFJOXksR0|0y zPWZI*Oe$yX^BbNEjBGe{HFnsldC^N!0TLkiM{$sa^x?Yx}6z&!6m@;<9^emmw3gd)mtY+ zqgr$R?nmS5XCHNvnYwt6z^(K95K%lWm9`m+^xw&dL5I&B2jT#)``6bQLm}Un`|g$D z^N*LMSHo?;m+RsBfR~H=&!@}Jn~3-OYG%XjkC#25q0sxwNB7F-$H&xZz|+UK&vJ*) zm*d;~{L#}kMA>u=;A9yUuk$7&1XD3?M3FE_{K_1r0MWp5VtAJ>09Zyz>` zDeMC@S%=^L-o9>s%K*=pi2ZEL=U|9$8nZNB2xw@ySIKZ&Idu5A*%`ky_{{fte}(+G zH2QQ3_>g*S|9pLUbqII^L(r`@@bmv%@TmWEdionb+`+ha%Do-n6Ib~8yz_3@-|_iz zatb8=IDcop-1hT}_YPmFw~Yjq`wRJud;Mg`ajN|}xHXIImwo8xs4!y|7n>-o8D3l(z>wADjlf z-mQGzd<^INe?%`%!}~rSV++K7`rcoM@ZycF0Q*x7wTX!wfR5kF?7ZGjHVylH-|rez zb%>c!b|dmoc0WH_g*ekto zay8MgXxaHHsO!jlU}B9vYVu}?38?H_wH++}%HPq51Jl%bo9d(0#LNpsoyj%z>QET= z-NXpF5|De4u;kzE)Vb@4PO9H@i2P{ZZoW?_OzV-K35a=jIu8dJ+rn;7R$AJPUgteUyi=>?=(rI;ld|S(3f!*WzCoO;(!lctUv-^|o3X995 zmh1KS88dFEF#)KA9RfYAjLrVh){FJ{@%?dAE`GMfBF!DNVlByJ;`o+0jc;S|Tlq-Q z-(LRny*(jQ3>;g|H}7D%iq_BnOnq;o0WFE>90ra7%7v11C8(RM+)j?Uln77%c%Cm> zHr0pM=;nHN)jnFv6(iLVddbI~mF?PuoJ`PoZyDw>j{&5FlJyb(o=r?BpEqugj_?`q zUuK@gP<_`t%(Z`I?b!%EUiX?YGgRQ>WLv}{u$jxO%YBpwN%xj)So_X5SvTT%-3Ro& z>w|$=g+%=6#|;!;l%Ug%*sEmPEM5U6BE2{id7ZMVC1}nHZza(;S0=Npgt&9hNSkYbT@FxHpes_i5&tw;#EW zhKIg=w$Ei`um5?Gi}PG8qK>|6XKgmlpWD`$yvYyEWRdEaUCo)>spNg%^CHWpY76Q; z4QvSn_eSiTdi}e9TzXZ<6hRBtzfZMx=S}wE%`*^Pcq0eI_?< z6sGJ+J3#S`iWGjP)n+l~%K4uZ0N~at6IV1kwgu?`C81=$IglJ@qc!R)Vw6jYC|Zfl zwjv&hhKADshl0uP@l-Jyhx!g4+IOwDOxF2lM9gyBY&q|ZTVwB@UJ(s?Anm@{4vMT} zvMt(BJ*MGVv>p6MzZ}{ve3#zY7T4&F2K;9r1pEexX_?plN4R0H0srwoNE9~m(Z2Y( zZTe%=?|Pq?{9}A(8l+K{>Ycv-kVI3p!sFV^O)axJF9RY3ll?f?dM0M8v{_z=14Q@q z>i+>}DWS6ZwyxdnhTq&Ag_L>R{D}k?;OBYMW6RtP^gdq#DIF>EeP>B-=5+2q!|HG| z1~aR+OdlPW^Bq7+BXUw>LZLdlmnE9qu>1Krh+csR0(1&)Pa9eIfcyFLKfZi~*f`P& z{-#I#_e6Lfn}9&TjeYTQ{JA$4PqIE|i5saHV0!&_bl)3mbr~IeAysy z&dFA6)e}C;KTujqNrr1QvCFK6o~``$q3SM@*%A%cXaP=-71a~EDMDiU@YNx0-;ERS@I;Jh}QxgsxLlGZN^8>1l$|Yk4|N;zsVHAcx@CO zMb0)Nx{bd5b~W^F>k#xxi;H(o7Uj5r_~cp8Kc?_OnwXO{JaE8m=fE@&zP?0l? zCu-YaicDbNY$x}52qb7NlW(GLM(bUPqv+En)q~aFm07LKfPosDjzkm|JZ7u%AGb-inN)ekzfWyvRF+ zDR&ECq-PHDEk}4oU14xa1p~J`(cq6xiUlvtGX0PNO>XRaL9hEC2WE(*;Ym0BR`L#B z8d}M+Or6uE$ zMh*4Ld2tJWsXSz-q_=K8(Kj!J)u$;f&RRyK!h|!PWYvjU#MX*p^~&QfeNX^W;-~1b z?fJ>!Fw%w`Yyk~i11XtNMO3Z+yKe_00QPTaGLi`tY$_t>9AZ4Rk`EZS#?U+oPeanh z7;i~3Ik z>AZ186vOsagAX+ny;dXXkjcNHRpYCjO3n@mYGcyHnFv|dLB&JD_G&l=cz1>b8J;^> z;qOCfJp6D-VrO>7s|L~=W18GI0^YNB;(@$i?|OGMzjb`7bDDjm!O(Ta1$rDe=9!Bnzy?%oda}V!=U8 zHoJC0S+Vi#+=7Mh$nrueJhW6Lp#3SjD+*^FbOBe+@$ZmG1?}VvII;%! z4eieAk#%?75>JxIR#GwmO%B!P&lDC zNOrp-%4K0ltJ*93?!mU$$pKIs$`}d=sg7a_P7p~U!tw}-P9edvWJ+NhZTM8x$YlW3 z5nY*p^)F41TbR3(CgnZ?dBs#D-~&jBfnwQKIu&pmFz?d=G~aX9Njy7}E`Z|X5K7Bj zqkBv?^mGXwq-;)B7_pJ?qqXgjtVY43F85nJ66jBx@4wEKb5lmD*# zHMu!!Nb+NC+DQaEX9HD)cX5QgXc}#{<()>e87-lGsyM^43m*+zN@$7zoPY8Io%st| zf*8FgV#@ST^su_fbW*XxFZjen$Q6ZV(Xf4^%mUM`C77d;9VUyeNYDvHkn!5!;(w=Ej>_9UbKKFM{r(V85?8dq6m0hmZt2!?wUyRrYYM3NcM^+mNAFY@llME{bD- zJ1-LM{bdF3$9fjS4ePe?(pm=WKJwidKBch0fBQM06$O4ob%!wY!fRx`95w|K_I z)ep&~H9Cce$D$`>QULlTYGS#Vf&kgimIhM?IyI}o1thczu{91DI+b>@Xhc(Cg<^<$ zd@{p`EGtB{fr|vGO&IXiR98#4WmtL>SV}S`7#n^{&u&r(57@1+CJ&9>i;n5*SaHTY zYD*7R6!8ya&cr49K-jMgzicng$?V}2&n~LU0{8w&OF?X7rS7paxu?5|)+Q1X5czeI zpF|-7sg1zS#0Rxdpe0HJX5XsIDx)4ckR49CzNEWx9M5FvX7|cmy6yfb zBiz)j!e6u;B3p>yEklHaz<>6J2;YTI92Gip9qm=;=PU1SP*3!b7J0#H(Bj?4*ZU{) z{rVA~wZbe6g4J=&2kE%=+zwYY#KGV>Yd#jHizm22@!PZ7|PtFxxGVk{y0KMt5U1~QMO z%|XNszhP7!M`^_NCbvM*hVfU)-?ijc!U%6oV(4Vec|ZQuRTL_eB3&hZahCMtC7K!_a^rhOkvenqgeoyo9$5>Z(oiS zbjQ&KRKUC`H&?`q3&6b>>{LcxX~24uE@Y`oe>>-p<6H;ttI-$quu2;8D`Tzg1#Q{O zj^RM3XwJVoSOUH|>JsGmX#dxQAILewYHc4zLHxwWNQq#T6?`x{y_AAw;msr28r?_* z>rK4l^|@(z^TpuDf8*PUaC(iMSzU~#Hmb*T5pV5e5+wB^kI)B56CuM?JVja6(+K+K zjkhO)YU1#SRS{GO0|P-bk~UOn2o>LnWu##-1)hy3GPP)bEW2p79Fzo|kYG*<2N?W$ zaMn2La1Yih^gM3ooVM`8X*k;XW{XN`yDv-lylVK)i`U)NkqyQ0vuRg7i6z{iSn7XA zpf%2e-WKJ#H31I9%Zo6Q{E4QX(uPxZj>9XjTYRhBp(mhL(1ufqRGOU4O*XU3@+Ax` za>{L-g3N&;b~;Z$p<$z8yu+VzR2jRJnwwgGI1EPoi`1b%smUf&C1aUZZ zUl;r;GP}~-`M(*RuB5;}v?~t^zMIl~nSx$eaauxxBSL@KRKDNXV#9Vbxif}mOCX(S zpFtUNQ}rPmzBM)KO1EERg<4Yov8Mn>a&b5n^euG_uo*?Y+sruPAHgi+5+qaHC{|;( zpcmOT7K$H^ZQ-1nlMIFbEs&S9IVwqU?Li&|crc?E{CQhNXacVEmWyICHwI)!4C9FK zWRD-*j!O(}Yb5g+_D*IaN+Z~zo7|JJYNiHI7Z$}yC>yz(4xLF3oiRw&S|>R`LDb@7 z=tKa)Zwl-RxA}^_Vj*hjkL_Xp>cZ*Vaj%lAE}LjYDLZNz6#F!QtppDmJFD;&37?LI zF2{y0YsYadd3bdSpEksmTg-MD%yk)y{7_qq1E|6L382eG`qY|2>D+)1MdlAtU-FuRq#>4^0HJyqSbBdLqj`%S)aw{O|&GpiF9FozY^$B&a-$AA!PNUV39hR2Kn1 zVqPqTQG0fEtj&`FokWRw)qBSWHq|8TTYA|^y|G2Q-*F$`%J{UStq zc~c4jJz_qcXi|5;!4wh0L!P0#mB$GVhT&Zg%wct|%z*5h!_JO!moE@|1eg)o9#z^V z+hdHCXxI$3AI|9fcI5T8*cLKEruSibHr{Qc_i&Kwp;XaLY_a~`= zNEImk)oT3`p*QNT@Wy6k>V6|GUDBBS(|t&UBP!ww5HIabHpojvR>r>tv)_fuWew0I9va zvRcs*@x=Kz$Z)90j(<6;L7GZApSLMviXU5VE6isKuE}~pc&r|YG-8xew^Mfh0(r3R z$3?ZLRvKhna&N}%jc4)23zr#2iD1oa6F6Sq=$V-2gNo^^#x7OTbpj1qSmtx6BIb^45)gI`AuaqgK1E(6CSTFbnWF)Vhzs$N0b7`~Z3+T=2J-d}NhkwKeI3z=1uNrxjFN>KhNCHi+{Vea=u+f&!RuX`Zj1#bV)D@Nzv&a;zb z&Kv^KlV2iGiFREEzskkycFqDGCS~ggGnj@+iGvD+uP};9yuLZvK9t-OA#eQ=J&D`G zkjED#4(BwYa+-Ed$wG&xdN@wNtp}zI{hA(WUrR16v;HErqIUVE&yH^)_c8g%f>%~y z81KS6(GHzmq{s6vLnbJMK?l$!)uYfR^9v!$AzLO$tmjWNm3ZG5nr8TVXk7JG+6#D# zUErC_X)hr&l8FYYD=_7#E%T0hO68|Pgkzfib5#Klb)6~>Py}RRMbL3PxShwwEt1!(kp?8g&`K@N2v_W*hm*ZkdIy04HASYxn9(YMxn&g!ZHh z7@Tb-okZ?M%uLFI#FM^x%mn+t2yy^nzQvXb4*`)Lg(%NqXgRYiELV#t>gCa6UATu8 z|D-GKnp?H+P97sX(GjHP*&|dW271vByDeWTXb8v<&IHS^oP>p2XrG0ST^`Jw@XX!7 zM-{$A4_C`x)WMGyqOmS!*2vVn&>n5bpAhuvFG@08tD+p_LPU!>_VDasU|RCZdXVmi zNG&Z^F&EA5_(<18sqs�MUU`UUkbw}9K>y3oO3X+2@>x1E@A!Q)y|kzb{F?gf zT6<_oo!G6t(u&*2HVW&I^LOQbw@y(|*i$jiQa3F`6 z46>=5+z?^{Q>(>xc0w9_6)+wfcbAi`@Y0~@H6!2#eYQzZb%QZ&?2Tm_oZYY(rD{3J zx;9c8y28E=MlX?;IRBw74JK{i^95HVl>BYj$QQaB^@`Mbh#9$=g4+F$Xf=}zXRPT? zi4~(n%O%eRVA@F=jAb~y#^?(Iv}|L_zF1n-*w$bx9(%OX5;pzJ{j!6}7-W<}Y!6xc++=mT0L zq0r*Efk{w3srzHL=nAz6sHFN_I8Npd>#(utK!v% zih}%|AWIG49}PtxRb0n|wO+-oxbM&yT}@xc z!+rq5p!h`C!nHG~;G|4^X@?8qq!c!M!R>LE0S*jONA*vxFj20CW7Xq(~>}@ zT)9i8z?E`SJ7ctqTDHB0aPE{UXergz5JUSZYDvTkl?zpikR{U!66*+0gL_hXEE(<< zhto0E#6nE^<3zY3TB^^3t z7+?DYt5;7@MwKqQYhg>?vQS!{Kj4&X9ypcl`aECj0=2w^s^yXfIHI=mHqxK?e40`( z-0O{{piHz=@(jvlv_LuOF;Bjqpuez8)cnHVtPxNYO0C<~*@26t5hUW*mlkfO);+!{ zH*}~7G9A@U=3t+igTLg>U`6;*SMn`lMm8(+pn}s5_1X|oIMf3$XY9mj@TC~EtAf-_ z>f95uzy9~3BaNY>v&rVN19z19hE+mvdJIm96$6=nJ1f}p<7|o*xbVPYNP=T_v8 zw7OF7lnjMg=8NaD3q)D`+0@yIgd_D;YH)$;{2IXb#XPO}!yH$l0Y z0m)H2@0TWx=2i4bKdA{;kqU8}sj{4qYn;NQvXOmJh6Z2vG)LnLzT}XOIE_CR4K!%}? zR99{bX_#h$+HEw3y@OJbD?20Ey%MRUjDx379XzOQuJQzX`bpEYJ(Xm<%3y2A#;kP_ zIXCll$MBw0x?629d&zfYrj~r0Xje2ql3e@BE2xI$2RtAz>f36wJ)ZCc5 z(ujPZ$|BMsr&dg#|AWury8!t=VW zBL6^VKsa{6^ewVh1b}Mp5Ba65`P57t;Q4UNL$8(a2Q@2 zVLp77Qt890unwwM5<=`3(IYUMz$BR z32v~qtF#sbOE!j4Tcg&pXbWjmYcwA+iGi!C>)%-DCafZ)IW09B#tEpEQtB#OQ%4C+`3thi9!ubrJ&SP-3p>bI#<*~!^ zOc#&CK#&dxRaikTPvMDLh+EA>$Ok1%)3O1_*0seZP-Dsg#FUO~1ijIACg(LfW{?`% ztTj-IT;(KoA6!i@WNVI1;B$ohyUe?9X*f{Uyr5s@L)${KFk zgj1_MPdj$h-yZhYYtnZnb@&z&;*MoESoo-05Fa@#xE-u;X+DX5el4F8&rX_Zj$2l4 zeno;sG0ekp!gw`Tpxjg#EGgEGTlWz|(GUD?UsSgL5t_S}tbu_%66&C?hzp0XN`~43 z3e_ppK2s_->$|+ZJB5KLc7|W^h}A1l09gNl6cwGUnVdGJeA&5lYz|C}{YeMILF`Of9EyU7b(l zvr>O02M>AJ-KQ);4l=s_GMGT&m9)@0<3{=K?FS81w!LBs;(;M*xb9H=wC*5Q zTj&b`XgDCB`7VZ&eNYj${r+3ej?XFXyB666oICm%s3KXwsw-OH>i1tWRORW&9RX$O zHYYJN!F$CZcCf&L#X}0h0)>T}Pp9$fRxrcHi^=(|Js!-g!@KIhVId{fCYNMtK^(8G z?s{orJ3P*A)B$82fr>wK1+@WP5vW|dxnB+qBov(Z8yA)K%E4pYb-2$8_GHj!1w)Ax~fg6>u z)pndFm&gQTR02@uy%|&_*J-%~Cf8X8i%*@GK&>a2QbA2$*d(t)l{h-`&pFGL9&i;5 z3#uq!qaoLUoRs2z&Orq*w!=( zJWx=gtGJKl4+6n0!_V)lJ|$Q>ar0%IwpeP8vl0pJl$){6Wal8LRl5Awy6)T(F%Xss z+xa0PJHBzIBb?aFH14`5p@C`#+Ka%F+>sbj(JS{P%=G9#q{wIxR9)XVr6RSQBAM}} zpk$&!s-(RLUZRpH@PbQBu=%+SYD!do(R6;CfQFdXRo(B%r5ug^OR9!ir{xx4^T@~| z2xTE{N7h+j;vM<7_`*^bs#J467hz5iEv?uU$G+<(CLhlpVoevl>5$pErn@Wpj8xvM z$5v{Y!hr1GZt5e^mxWY%(+jK((0vhF7;_voWL&-|@NK^5=xFgl{6WR3#nYae3Jmrek*I0O{Nx^f ze}pIhV_b1djM1~~%Yr&G799RmMAqWtk;E0~=}Eex!Pb+YFU)C_PXk<9{lA{%YV3iS zLUfQW)RgAD{&5W=R~m{_$VM<>E#s3QSjOBs0}_`%%C^ALu^tps=T>a#l>_WlQ0%r? zO#y12{&T3&bK1xaAp?0OU5tT{8}%7C!&OE(7(EX1o^646sCRQv+JWTGKLj&lj^!+ z3M!#hgyabbhr-~%+9_%-jm|Hl?rTrfM#&obK)!S^Eg&>??LZSg=!O)=uLTz1tCWHQ ztcoLy5PnVzz1jJj(6eVnLp-}t3z<9^OS|%2P4w9jTCwifYx6{3pEVMUzv!-m_nX!} zfQH!UZ$)p^nzE6f+|Ua$)^na_4e|*p>Ckhe`$+mjNLcS7VfD?(BAGJiTuH_luNi)g z!DM&O{79Gx;Pft>1?&Gq(^m&X^*wJBO9=}LNG;t+N=bKvq(~#(wKPgMOM{ejw;&}Y zT}pR%cb5|WuAlGw{&~;dGiT16bI;84%Q6Ep*-y29& zGRR6?vcb2J6J&#LCDth~S+c2q!`P&b>1L1h5co5*6JNAa{qDponf%p2`YSxxh}o@| zMjjX?3@^baWy>eyo0MJo8cJIu-KR5Sk*W!A515+QH-y_1(6I@APRwF}2#dil5Yl8% zK61y5AVvajl&Jj{M9j-e|$DI~3S zUFsEF!!k+a#6I|y5cX0?zN7d4){xW1G`-L+qXwjsZt#?BV$JeHC=wa7UezQu^xav^0?7`pSTa^A)Kdh{s44 z=7F48J2?~9W?M>nPdIc@T1MMK7ZeA7Lx0Dp03>Sc^iCdQpu=-#D|QIy_LSMwhC>sI zp0pyRtZGqxPIoL#$=Qah+4e=0N@e?SS z@;5*BO~NSv2-2y_J?j;QQK*MAXMp_mD9XNwkFT$@iN4HF0Ht}y$w_Bnj^a+d`waZg z82ojXfdV(K*%+N~xKu#@{G(k{9szFxg_QtBHVa6=N9$z))d(itPr!QD_h7kUr=W3t z<+q0k zX@7P5e(O4-UE+nCulDHCF{*!HzcKKJGE#S7n2Fu6ZwGW5io~11ZzYf(>P>?~!t7xoNDF>*qM{%DQ{zQ>;Lk3BR{t}a&qc9GYLo@>Jc#3N{^xc zaR6UuJbBdG7Og>WFZ`~DCxiTY;6M3W6R@lVMm?zZ6KMtWQ!zFjM5eMr6~X}bd#&8p zCV8!D5?qh{`T8F%q3urF&HVFw;;FyT$Z)c~6hCuj!=cVA8JIvXrScnNJF)4jSIgvO z9)>~o`p64m&N5tpLl$8$^IF$%G>QBFQqV$)Ho~TlCXu@=JF*^|QBtK?>D(hQ5$U84 ze&y&o+I8)ywFusRdtnd6hc(jk={x-1s5v+@3Utzj1RWv(MzCjVSq_OB1y23QeHZ$b zCy&_~JvRaAtAl2!4FLcR?|5rMDLu>XqeM3i=+5hT*KLT!LP~(VBl7wH`7`T(En4`$ zU3;b=J92ElkW}@Nv)`<mRujwyCq<^A;61}+4+ z08?m(ALW?rE2aF-Sl0Xu{$<^K(?_}fSM~8yY+4dEbMhxn0x~j3l^EI}e*Phoib1~~ zgF`D6UPKIRZ1uf&KpBmmCbKw6I|F?`1_Sm0lc_Rm|9b{(wB7+@#svmWHV^~0SzKr{ zw0RVX4SpvtZk#$Lso)tL;3hC+QoH~uztoEpkM>dbNJp1X26(;&1e=u{wdOYxfX`Zs zwD$lq4H_{`DSME7vBfXj0z>MN{d`Ta^bYvwK$IUtRW|xB^YEqGms}gMP|Ms1h@R~Y z?iObvkBB}k%cR&2>LUOs2#WiA{t2U_a|g-Pi{6MaZ#27-S6Kr0<<%U6qZ-?R>QHpy zqHe6l)VFYV+2LPm=F%CPgvN9jV*tqpPhdUgGhilQ<;Huq6tG=5tfX^PYI@$F9wwtn zjkgBU&fR^Rtr-2lW<6y*^OH^|HRU(7u(TBQMLntPAKlOBZ%1;tfmFi+pMByq=?Fv6IACWJ9(3l@FvA^+S)PVA zNYhdZtTBO3bjXA}EX$>^YFdzOoUhk6x|sU4Jft!GXpTPjO^{jaYzjteb(_`BwKC_0; zgq+iOmJs(Qu*o;GCAh3FUws;v7eIH3B$i3rwChkPT$Xpq5z+M*VmBvT;==WIRQj)F zr?hBDsOt@`Q&pjmDqS-G3nsOH-!kntvGu0)$kVs|Yw&%!X#T!tkWtW)E(WJ@URd!= zfT|td1f1+Qcs4++XpbfeEzQX1!&L%E_sP0kI|17RmvVw!vUY#D0UARmVg45^y$lE~z@e5O5pl|a z`ZNPYZA6ZMO|D@eFc^iyI|t$DJLGP}HecZhV>U))pb`et(-C!8I_NAH`S=|}9I7)* zgj42#R0|Z`XrtHux1c?FtQ?QRf$sZ{KNP%!-1$i=6p5Cuq-P}8vop<;-M7#`nb=Zs^dd9XzCxB|MdIz76}J zy|%BOHzxM@{Dunt*rV`Dv7M@Mt)(^h-PJR4Q$&Nqft^ZUZdq}_0P2HZ+5X|;yzOtqKrh5w{)fnonua3_N zm^U+Wm(=k_qX^R@|LW|@-%8UbfjH_wJ)e=R zLg=_oHoAVj9NLBf0|K)TrtiN7y81J=PcU=>p|4WOLTjKax>~_0?Z6GJ8}$NzvG-87 zwQ;6<&8tkIZ4yJrQR&+<&=d?*VB&{w{-8r>W#l$@tz9vL-h0J1Xrh#UX6N6xpE}D0PGb zV3FcY<3q4}-lx5(9N9zr0o%!(w5>Pp2aX zO~y1B>E;cw65T%oL_Gq0cC1vVlRo+*s+{>nC5oR^(n|ssi1uM*4uw%6qoA{`YW8Vh z&MJNKi**O3&ZXW>UChTYlTiIgqZDe;c^HTC#5`+uLxtYPCG+JJ0~O$38N3L`vIEz! zPkc;?vOB-S`|3RCSq!?dH%0zdrQ-OkwbuJ6+@1V%bQCDx2^Wuy^u=b+d&x`B$4CuS zyz%~?;eV?gQN*ICTBXdWe)3E2Pc*&?xroQfZqpyGSQflVR=KO>?58XCZ@^IYQj$Pv zIPXfAif8@7;$P=qmbUnDK_!22Ocz&V>VX@U5*WRPCKdx>TjVEAA9nBXBd&ONFjiga zE!y|qp0Rf}CO%jGa>|NIHx|%SKIBJtL?tK?U_U{?nJOLy5L}!jWEtgD3n)}%v}?3> znxAg=b-tGFYTdw|e4S#sxxy;$9UwFTB8g5pqNC_c=#L? zE_ll_62?Rk!B+iA_8vwv4yEIl=wQNkQaa zlJO39l%l7MQihuH<`YSoRmxT+hDmjn7p||)xXpcRvSJBItBj@8fk=XoM__rfn-fm0 zN7OJXfm&PpDUvG7L6w^ZVBQn@<>>3$^kz(9zayoTl+Sm@A+Jpq}9f>C9fkY~a z#u)3sZ{W2yExU+;wS7*i&uyK!*k1j<+{H; zwniZDWt3Nu_?GY;!|;t3=D~bYY6Jv2m~&vG4B8D#?lRk3^OHh)gSv`h?Z9m6LKz;k zGTW4bSso!25tV8rk)?O>-@p7@1EsSU(V%(tYaJH{jTs=dr!0b>+jQurD!=#^sQxeI zExTuH%^g>4A+4h;*NxR`iaZFkP;=9`bP+VP1%Oq!LfaEM7Iu(f_dZNnz-V#frV+#f&rz0i*CuEF4~V^r;-)leC`TQ|%F)~XTy z<42xlMEaEL8uBS0k%OX;YxgLyDT<32`ybeYT9dD>G6*Hd|J7n@h_lzzOvE<%c|TVj z;>Jky7^XIHZ&>)MpIduxP7rPagp7mSk9nQu4&$lY-s0aGICdG!B840Gv6Tu;dvN6* znZu9WKC4on22Q5Q+Zbo>KO4Cg1Q0azmu>87g@5UT8^LV7H>U|Vr&$MVGK4%JBFsR( z^R~CLi??)uf>F*KWCi&#S0LbQi~P< zywPo{Tv`8K1w1D<@VZWMjL>-v5W`m4^4=0$;|{xMdU#je7^K@n>Sv3u+sNRx-~k5x_rb%CxbOYwF&J58G0x6q}|`Q8|#Gmi~owNM$!Mg5iw*NwGM(U z^$-*r=jf(ZgpdZ^yY)qPgR}FMZM2MIswN%Lzv9QfAM|vPXgz^@=<8Hh)RSUkRq#1< zwU{_Wngz_X47O~%<$b&LJS|Ms)F|TYgjwO9>@Btag?LbEmTvV7A341B{L;seqzSyF z!rKW#4)-p87d~OCM#9fSYa46pf-k(Bz1huHx%{32yUVScx9)FTjq6Z?p-ldMw4#NO zL&-yR_$0oyVc8zXO)Mz$;#@HN&)aVWuOZ^!<{^pqs1#LCrv@r9%kC7Xnk5)$m1WI{ zq$O=b_cyjLtLvQi#@PL)pAvdd-<)R6H?_%L2$Fi*I#KiU@xw1sRe-J?9~^KSeWcO9 zxrm75D1KyAajd3p8~v5#0_uv_U zA15Ym;9Cby#=DDWRoS-l)!eSNFW*P)A0cwzsSIbHM;`|Wax*Gz>=qiixOa{n&>R73 zp?|w_Eidt^AV|Srz{DuNLbG_-EbnpCQsoY!5nQ+y{>DHru;TxreKkH!*Ij5$Iv1r= zu#aqVjs;l;?Wj@=g`UBF=e4f9an>n>!=lAEB#8YK=Lo|`S|jm_?|1a47J5sXDH+-g zw8{tI-}X;Ae?~j(6CXZ~b=(;BS8Er9H6|{ztP-HN8_*7!MOk;WX6w^Lr1TWWL3z7J z1wYPX2DIL`HYVwZ>{zGlGL)wyi+`CE&hG@$SapRMxlXvR)B_iD1FS8Pm*))U$GDfvqULRlP59t}^YLrK2>i7Nh06ySB@=~VVTBJWLE zk3xHPr<_5q_?+KeN^RUXGG75gl-wE_;fDwo!>;nB;Lm)uWDcCIl^Z(T!!d48$n_EX zv~FEaH9Wmmg;abSLj<>8-;=KQ-A)|8Pa}#b+@I#XeZ6~FEb;B71f^k^K5I;FPt{lO z9U8?gl1}y0vjgsn9zrGBeX5OnAvO;!R^VCGlRf#bS&iZwblx_swH4`IHBJjt5Vr>G*>yZLrY=$l z=Y$-~kU#Oh@JC$wX9UGmO8Xqv1TnF=6eutq*fb{1Yxd z%=)I%+~EZ5oxc~)RyE3iTMo3sNM_zV5hf<&gXO+nZb6inFr|dDoL3E?_9B^L*zGu=)%EkG*8Fa{Aq2DFuz?ET}HI zFA;t#M6l>GyNghXy*iDbUP3VjW;P>^L7*3_DxigeV!eW7zLxw`bOk5T&N$w;r6v5F z(zkt2f+oSYWvuka%7&O`kNA}#eD}(;ufe@=XWt0*>~#D);^Uc3F1xe1cWs9u?tMq~ z1xGG0m#Q!&vT+w5R*YMkpZ7>X)la8uAMEZK?u#8ACX^S?`!;8DPkC7ye7Af`g^OB= z*H6mCQoV9S7CI)UV+4tEeNQ~^`V@bRxnL=USQrHW7Jpib>Uhrg)yGl{FhZ(7Q=F@{ zbrqf)5Pv8v;Ne|F+%54gEI?!B6dmGhPt%F%7>qIq_}#F!GRKmZv$LNdT|BH9k7I4MkD9OOn^cJ? zl5wtfE;yNx^If!q9^6*cK6;-ma%4pny{GH+#Vd=AsSDd}=c}pW??oKdmd&i9eC5<3QzYG{d~XqOFcsMFGVPHnQ(!QqBDiy!iZHF@zla^Qe4 zi9`t^qx3D?aqg!D^xLYEcDQ;g(gpvku_A!0_zT>zO;OJRiEG76Dj8xL{Od=VFh#f` zJ%XI;NiVKSB>PgyS2~64CAlpj?W6EH9h0gyUsB_m+y^27^T3{NsZ!p2vjEZHG46 z>yLOzaVrIxAq`}djTMJ!%?a8rP+akVvntSZR@D0`Uh#D`L?wp4l4IBIGR_wf--CfjNdkW ztL-`3=V@wzZ0Siqtg<4Y*9UsO8hbBbWFqjR+r+{rfWcRcxqMypp z!-|I9!h-8&6_Y98-uz`NlnCN>;%OAC*Wu}uB0KyxEoq3hEoZcqPo}~h$SBd^CWqB*RBSmZpq`v&C1$`_!TVq%~15Ixpv`RN^2iMQc2;n0)$0Vm_g!{60!H=W#& zIedd(FL3XEO~$ktUbFCsS$z7?bq8`<&r^2`H#QZA)XjNk6P=25k$PF9dq$k5>9QPV zjm73NdYR#XH)7}eNau~wXM}P}kVH1@-fBetI`OH!Zds_$eyo_AMIKXn_@@@`=I0_( z{dzQDbz2^hUd-YDs99tR(_2w`K{U@45b!xLqEmtTn@;LF4gmIITWhNysjWZ)}<0jT-g-qGnoRWLMN&l0A^Lp=(GRD~f zWt->bj~406*?^vd1AfE!L_M|<&m7;~@(3BmNaObS?NhoWt!S{QqZzq3Nv?pT#*feG zy1e5=Xc?Ab`<4jNpLdA+h`P1G%OaF{Xl>!2{8}R43mVOIu3Qyut7PHE^Xta$SJZzm z4ud(W`(x-maZNwzHXV5JCaj4r?0^iv;PQw3#=}_79iS(sK@)yKoBZ=uDt8x1BEN zkg?@e^BPQ*bCe13%jcTuC8cj?pNst2!Svk01Q54R@1*yIJzV@-GJ<9Z*WZqzMX2;^ zjB(U-s-~#^D%{~lK0ZLaL{cDBg}!MRb!68{O@5mkE!-X6=xXK%M?a)&<6JO&QG<`~ zntOa*yiKkcat;XZ7i*#nI3hd{2=@vx*B&gvBx;)ULiWkRqKi}849sE8!Hdw!Nr;<7 z-X_O0W1L9TOBa2PYTf%H7Vlo0`9li+!msvv^3mi5OFS!Eg(44xDyG{Kn2K3bbb(rb zb?tVEL{D-5YZAOJ<1r}B{pjXe@yFw9@I&EH?b|*}gt{qz+_5(KtbC}Qh!GP1JMFfk ztm!L!k305+uCcn?12;5ph#Re<3eNZ+F?BCI&r*6)#trO|nl~YY)zub z8kL=c*O}-Tcj500#ILW70M&`xR8wwA8X=6kW9Yrvt4UfQl!XU#n|>`knRgU=5V`{q z8`NnIKI|dIy0B%&_)lD!k6lv2-|9Y1E}Mj-e#>6XS(ZpxelV{&yGnt471?}xosNs|Kz1>Q7x&dsM&=UcGaQ2d2xhwFPit>IVjg`vQLNc(VVqB89|`jQzL+i z)3043PVgu`r`M(1ElrFT;{S&u-)=l%Td(#(x~)pa-T&J}g=b=pJScbcg|^vCvYDG54H4NeZy-h=Pd#PJ_MpvP8TQ~G>toN zTRFl=H;i9xvuR6Hl3*;JCHJ*I?6jZoy%OvO%|17hOm%;M+?w}IA>S-)GBNg+1Or3L z#}vgqq7G`OvNfIj(NC+toyfXthi@ZD&|f#&{lmGLeYqXtYbG;i(LAZd8J#F*iWX5$ zH#Ym2POL#47bp&Hf7Ov^DP{Or1Q-O7B#Ej3le1OQ1Jdpjk~XHvAn}qUN-A5_m-Bg& zBoAOIVt?67Dh$r+R9P&X8IgfV77@zloT;6jEhj4 zP7qZ)h8Ks%>~lNrHz^V&ifwAah2&>9lROoaVUTEmWKs=r)HrpmUhS@grj_~@W(he0 z4LjZv*cpCAt+AlqyCoNWo`i--sNSE5_Ax@w19~yOyB)1lvZ}xtS%_A;rM1Jo8Wa#U zp7KQySyTP5%q11h#IQa-EDBF(zbe2Wsb*V(BL7PxYi`w6S~>{%7hs8vd^5Ql?pT3{ zYwHpQO@udtI{)iLrZ#?T@XH$eGLWJJQPzD)ua*;SLZU~&tRAM|vvmU*ImQc2UsYAX zMDU!pdJD`XeIan*ZmcCNaRY+fThJT(8PL$)V|OCO+(a(`@nryo1?$K7a3-q(iuYW8 zBEO?U1V7+7kBkZ`PVkm9e&f_Dr-O_8*BlaO2>k)nl6vtZ42%B*`(-8EDWZ0KIa1RaIAek8u@gXRqv?4U#LQr+Y1m8w^ zRp-!GSvW@`2NXsZ=?+Md)zc=XLWTImf#GB|I(?s9Xs??O+(I4-x~)-v|6sSp7+snj zFR`#e?4C2=#aN;;`=vZRULvv-eWLLH$;@VNyV?|Lrvz{;f)u2cU?VM==Fh^w;W}W$kb=s93!V41nKl{}oT+s)YuO6v?3@H$uVon^|cJ>Pfc^rPoebCB%enmj#AL5Rgc z|LrRzW9rwn^vf~b2$RP;Y)X8)J2@I1)URFO#)T$1Go5S{4E8REQwc;7#)TW{Gdg!j zEotams8H-OY7mDp$buJ!jPF-1;Lm=Egd4_FS_5sG>E7n8aR)lQF5C#2>5P&4>L{44 zBrYO`6d(5d9+{7#s0RAKOW9q(=e{>%TuHC8RBjWIjN?*c`6wRO^3thCkZRu1*YuxxZ&5Gi)y{suIEtwHa;rt4c+_mw_NKAI_=&s?b8@tyqG zcs~Dk2}89FnW(+ysBd2VQV}5NwM_}mDa+Yc;-^h)f?Unx`C!kGqK!bhIR{FL=s#tldDv@JYN zxq?@R58h(4eJhJD&q7>{kllGa1K+vMT#ExEB^JR-Y-j`RqBTg8ZA3dbqPIZyoDO=cOew4}RQuK4IfbcpQtr`v*OC|L#CYXDO-0 z)L!|MzOJl|{D{=os6U>7V6(4U_r87~SFF%CLv#C5)(?wOk64vB!1yrCz(}?((o$c; zF%RSx0r(?Z7rX_ZcXmK3#8Dn~QT_1?z9D88oUJRhSnF90l2qOqJ=;8+%HtXb%Rh-r z3VRJg5u-uo9uIiTQh2{8hS6}8B8o2 ziFY+=mq@+L>Dx8i^pqkt69p#JBNJTt;ozZ;`5rcV*3ZHswUsFDk+ZJK6%a zS&Q|c$_KPLOlC8*(XBxU9{F=nxZRe_eP1599BpcZuLqBkdliNW#M68pNy#XWLkEdZ|`P-{k%LJF18KB1~x;eDkcgv8896 zY%Ck$sEaOYkI~M9lkCruerz=_o#!WYzJa$Pm3*9c>BRAxexe{TK`!DvFIt2rWQle^ z@g*zxV<0*i^W()hq=kszubx+kJBDT*2JifLOQa|VKV7dX@MZ=oq>Tl161~?YJV(@u zrIW|_L{k-?Y!WD`rAR8kCi{4U#M$OEp(L8=O+V+fJlT|uwub^vAJgXDslLJB#(972 z9MGRe*Jb*V;DPGGNSLYUgnGpJDV5dO=B&ph>!mLyL(4mfC#Ezypsj7e*M3&%{DGlL zAWR1tqnMRd#4%fp%ltRE9yd47;cuLUK&y0gK5CL#&Sbvmr|v##Nahbo%mb45#!4{1 z2kP-TC+s(7UTz=sjn5lsxJqxdzkVwDAg|5JhG`N6?1fydJMH>&92Rm(#f@TTk-ryIHR(E1x&xc*|4<1%W9=PV$#D zHuSR9z>`tb4xIG4q>)esEmx;i=gDl0Bo4NyJ?cy{y~qDx{}4)DJJL#Wit zOcbX~6=~~zc<_>UVGXv9a2mQ4nT*MYcOBJvBHp*}NGJ78#Z(nT{)88pm2C(QO@f;& zq@Z#UJ^J|JdvkT;JY#^%SsD%%?!K~)R`tm~mE(9Xc6u}u z({h{$|D|8Rl!x@SVF`yp6;H|QQJzeQr>b}3D{qk1n4jp}8IDt6smd>LvaLC2L!DJC z;)=dt4UI0wARzhDZh91uOsdl4E*_(ZuYDXjHT~ku_ep!e#R}mPcpXd1y5c)Cuau%x zS!X+FgM6;q2(QN@w6TuWQv9yn=^YxIcF>Jp5Qp;375VJvUcAf1Lqs)R_>4YFh1J;i zZs{b1gpxZYs>#4n4LsVXD4dTJOMnx+z**GK5cM>XEh8pz8*Zb}e)f z5Pkghh^^`|X8ZZeC5$vzamLIKk<0HiUQ;f0Jo+OR4Xk)Le?fpXj z!kOc8YBv2-`qFdEgWR_Eha)3(I(c6Zzc{F3%dZRA8zYGWK0s+lPxy_#X;<6KKcy)7 zE#LlqqDdAmQ4<3@?5nf*&}8(9-F@`@H5}KV;9K6U>QPG#cTnQR$B(-)E5dNHDmamW zo!WS9eWHW@xvBxzdf;3yW)-ivwQf2m+b_%53R{C9MAn*Mjdmv2D8IV%-&?c9HiRnm z>ri^^(A&8(^AePsKMS{VqO^)+gY#0Ko9N-2;XTxzp;p8+)?Rfp(=+p)U%Xzy7?(7q|l2ha_gedu)sY77O=o@;tl0&Ak z5*p&JF5xV{$iIV(lx8^h7aZTd_;redW}GNwfUnXdB2AKPk!0_Pz|bsZs7m&!YE!Fk z$30Wc{ky6HqD|_{MI%Yf#_$L;IZTVUb1ki6*9swowz4UTTE4QWLYihJ-YSd%&|I~%^+heTFvTt{!RI-T=BaX5u!ukKH zt*Dh123Y%Gm0#=?ZMkwS@iYRh{ut~Z2yyEJb5fKnga?yy^@%-`d@|Ty` z?nC-Kw~%Db6j2yl1e=jK-bkPCIiZd$V`T%m zDyob8s$1%M>)}S&B(??#sr#Y~1;H4StdI-Vu%- z%<9a_4@tuP3@mXqs$m?V0C%uJQH{?IB`IQ8 zDtN~t@4($uJvA;|pB|4FJqGFZH)-*F_N)kpJ8B()0O^xaL+%n0?I3*ppo)`lqBseg|m>K~?HmdpZSNJq$*I4jJ5Up$7Fl_()(u*u2&zsF zK{DdivL3s=Q&MpX(o>&~j_!;7TRsqfvfy|u9q&ggSVMnbUY6xM4$r_2p4iV*BTJ_8 zxYY(j7V8Q?64yB~U7|q-c9joMs(MyRv(0h!E9n|hX657KYUoQqRYc{CpL}=;P4v#4 z+F+0#;K(Ik;?uSU!8Oz8FJ`o^(g(6n`fr(nqv(T4o>HWd-FGB;Jt*bJS1hdq1pQ12 zjFR6cF?2G4j}ja~EZ;$M+J_TnLz7~u9azjNns1O^>Id)(@ z)6l}RJqODc5mF5HnU@VPRXQ(vg(*11b%?4;$8-p$mk-&j2s=4ma9j_y%Z(}R1y)Us z#itY_y?bJqx3k41K=E_`Bebc`%G(Bn6JNoI=d3gtR1K~Chki)a^JDgblR;D)JPv3` zwfq!VN0^V(NXK?x-UWNyb#A}VRcZHF)4Y%P}A*_X~~S(u3ujK0Ddu!Sh?Xdj$$ zT2|TKEt#>N_3pujPlgXwLnxy4`Pp>u!R{uu+9TKE=&cYHV?1%Uwgr0QC?x$4=3$hh zG%m2u$$4X~bpPz>-F~q<;hUti$5_>IN0;(f6O`ibhVVDh!_IFYlcblyl)uxz0H3Z3 z(a%RW!r5q}7PIaao@T)yTgKxrwJ^K*Yt+|er>Lavrj%!!x*u_(Qu}nd@Qd@x9JNliynvR@y6F*Zb2W8eRz&yPkiRE56K%17zqnux z^q~JY%yU-Hst@J4wIv_E zhuj{>tA5>T4OUfQz&QE5X=7i5Bk?2lR^j{hNPFrvazkAv*0gimmXD>eBc6o)TFSg= zmdC3cM{5j4S2=C_w_fw+GzMUGBJJ zjr7@0{^-|WHVKT!{qdi}B?aI7Ch?Xjk$kiExNFFg)aD~L>@ZGUML>6gJ&ed+=^nK9 z)%5pwV$)A;p(WmRR+gVbP8=|nrZ(yq%g;`PV=wT^8tF9vnJ3_<&Xc`$iO~HYY!e?J zr1+hzQ5^*(IeSL;6ZO-o7z9=GsxKSD{Bom}%g!96_ZmQR*c9D9Qc5uVY`%tbMlDsV z`GTIZmY|fKI*KJXvn@>`dM(wrGJxB@By9=e+C^R98OF_Nq!$GS`wbRV)rMTW4Nm*P z#t97e)9LlcMa!HPAtzeVYWk+IbD)n;Hpm-Nz9295?H`WEz!D!j&B?dHS3q@ykKxZ7 zw2pk`cWWx|X<=+%M(Apul6s*F&xEnoC!u#Qv1mDqIy`uI}fr(FL& z^lL0}RjByJBTCgh`s@7d>bPXb|aB=j1@)9XoC)9ziy_l0h5!#pptbbTE+*t!J9ppSK| zl>W445vozHG{`n=YRG;7SqJ;T{b`0{^Y_2t-3A>vMueW#pfGfrO4F6;h#ZRp)LWRR z$j3&a8eg`q}fBk;)-JlMMI(&7CaLkKmJ?3H7@&`>gh@FoX*%_^~u5%@I zv970+lY54MR<=J;t~5^^@PrRwBn$)9fQKK6bQ|hDz!I7r-|fW&X3U}O{jV72@X=`Y zt=QVm+GH)9Vgu*|z@cHz@kpPZ5~cAqb*Vr=-Tt)9eLgOTNVmGgKj`SSLE<$+{!`ol zOvd{X&;$8{)N7S-Bha6Q5T^lQTc&X!3Sp8zr`Z9{gEb>rgdx+jRC!IRsB=8y4e#p) z(*ZGC&GBr9{#yZ)3?fc{fCZ?0i^;0Q&EPXgc~~%l<{Ye9yAKlX5D`|fdZtq)a8G7x z`a|OjAP+^Yo=^Y?44>|L`0pzzRH$8>5{JbO{?#SqE|&7$&_kXh(y(JBR125=T!Z)K z8|%nC$>W=B4hSxWdkQ7vWJC9&?_ixb06-3+lQ>Aa zsyOmd^n*BbZ%DETrxl#@Sn$yT8@i-VIDSV%)$6UknsX7-dt1Ldme~ea5&DV^nW4#; zKHAZJFr4fq0%@x=m{%{w(q2PdQYiDBL=2hO1FzCs` z2QGMJi`ZkdG|^#p{58oDUcpr8UYrWbL$T_gSNR{y%$=L5O~xn31P#3ody!&kK}79% z242(h1r|0&r|!yGHU7BPK=_qWsxAj;uz~Q_dV?h|^n;2e|5YqucFR01Q*o{xW0n-| zPz{0RFo2wDo4$xcT`;(O=zpG?Uq8xXfi4gyu_`aNkT|5jeVG7Aqa;>C7P9z-;Qv&^OQQI$I$cEO;=E}gcv(WpsX^5Yc#mxT9 zVaUGP4{<=v?t_e!=9)9>lFJH?cq#m_S0vq+F$c(RcP;&1DpG&<5Yw>Ij}z|)*}6!) z(H*b{)%%Ny6Nqr*0J65?Dq2GLInsW>Mi7Ja&|0aoBz%6Cio#tzaEo9{IxBuaTascd zQdp0W6uroi$J4Ae_Gf^d{QZ{hg&c4WEL|MuNOS)bUtScZG)+VP`1m9MqIql2kNaH8 zGHnbxTsz-HF=U+PH9H`Gs?!+x8)Qen~WhqNixWkwM#+7zn7mMXSw5g+X_ zs;GrQG-y{$O^4|lY9D%q0j{a?O-PsUp=D#!d&!ufv;l2Xim`Cd&amnnWb;3slC7 zx`pe5Pa(b9m-DiZTPzoGds44m_VFVL`)WSN%QXz^1ccvjiBp8OZg!{sZ+*h!fomC> z0c#ZZm)(@^pw|S&Dj>kl3DkUh3fwA^6nz1V$PF!MmrQiNhtexi_X8>Gi>Ff4&ejBj zX;NV>Hl-De2$wz)JlF^>4+1y_gm~Ab$T1hLBGN=?*G*-f>wb^}{6oE9^Yy%LCxQYa zqK#iU5tdIFjxS>je{9_SF;BUkx&=2afp{W~t56*qXsRcZl*EI5kf3AX)*E+&=2?mv z#uCYU%{**fybDk^V7i`mR&kc7K3P|EW@U|Y)_EdA(bQ!f_~Sqh#zt{RKgDr9Gx773 zga)(nvcol6%ERy&z#tU9zPTf5sUoH}!}Xn|XK$WasOy=3NmTx>!kqPE;0rz=#WueK ze3=7or>u;cNK{HK>3wS^E=Q>yDRBzo0e}s}R_C8+clW&vk_5olfhbs0!;t8d+B$I9EHEi^J z9m-Y8Q?u4#_c#WiGIr>rXEzDpIo^^yvJH9tO5#~={Y61zNL)re(FYC)Hr9d8uz9K<< z$c3~(p=0!$l&XT)W~=Pq;{_8cgP~xGFXz1?aFRdVT%HB@%%sW(;-?`1dj5Mr0qxUX zwP&`jauEF!?JTrzcp>e5d+TVR%5%*~cVSrIFF5j-T;Nv`ZfFzZiwnbl^N1e4Sf%8V zoeC(lyRYgJdxf^#uRG33@7rwb&A+Ns0U;EJ zc1fXA+8gJOQbGleIqOncuK|eRSe=pj4K#g%4=Wv#tO#^!Tyxfwjo-+AiM__V3BWPc zuH3k7iriRyo%^ctu-oHOGhx>n{I~OXnK{*H8Gwg_?W6vJpUTySFUI4ba}?y>!y52cW@+>_#dJqZ`Z3He zFQoZ=`%vXA5L1lYQ4jL*U@9Mw>JvE!cyA)CB_r3f=BQpXa=KxJ26QMMueH_!dy?;b zHyO9f|ADc~H$U8Z6~dhKL$fJ7UW_PaU7`N}c)H54IGSdQyR(bCyDb(7?!Gt#4IUsk z!QBZE2)ejy@DL!lCO8BSuE8zA?GEqvJojhM_Dt7wS69_JRoip+h&M)F7!jo9|9jtb z>xKD9zofiLmjB$jtlFI!EMc-oo^>i?RlDZk7^^`c!?f$HQ3-s#Hi!c%^4At+;nioY zja*@gt{>jyEza}?XKzSyy2E#~7CNh_l)l+YjOk|y6LZN%|4A-ZDMt(vyJP8rGN*)K zTT=I*9V_KPjh?NCAtaq@S>4)OuXz1`#l@8PL~me6Y77SciJMv$s~|GPJ#X(hdxz?b zakv=s#{qpU!AGqBFUkb7rLh{nmxl0~uB-UUKVh=pPf?Nbeg4unHBlt1k~a)JV4T5% zJcev%4UEWn8CmCbf4)f3LxQyYK;YQimkTuh)Ka`;ztNYL2){A6w)}dJ@~y1;zV&Sc ziMSGJzmxVSDx$5c!_oUB^ z4V&&i-uJL^G`Tddw*LTY(V^-g_qm8M4Sbeaj)LLT|H3jksmi zD*9Xvw(=o^OEj}wjZxNC3X7X7jnHQg&y#EGn{OkHj|&IU8%xPf1zlVgqoSQyYq2g1 z>dU4oE+sx_TLG;dp0P_yF-t%m#vuL>Yo%AW`5J$yiLiN|pgjagl?udiwbMB<>%C-@ za8sWdeO?JG)~)86i%tAl1qV*IJ-w*~DbN@=Yt*e?;GzDJp_ zN#1!7SimYF(sx%3@4Us3?ooc(+P-$dQ3DRhlD@0?uScMqBtZu|JYNPeL-A>)VxHJN zsnRiYV#Zs>J8$=q|7NdVz{t(1~+rBB5n@5i~Q--ziQGWM}4Q>hi4XZSuoDpXZuqf)!ii z<4T&Ou;GCckOjB!7=bYi24c0rP5C_Yn)ZWw+p&xaQRJDA67*k4iy4WR%&@V6kRB`Q zD2%5oZQZ^C1%*?^uft=@mVu;LQGuGPn#A7x1q031z3J!73`+z$sp#!uq?M3nIT7Fq zCCZytmP9d4?P5El3r5ups38c#eTshGZ_!$W`^urm7jtbaRUA()dV|Hfee-$90LBlD zrdt220!5l5|EpGVJzo@nelkF#9btuwmHp580`go?#wzS$_mDrhCq9(22;ain9``Q+ z@|gfy`=e?Emk!=2)bIJis2$1-Us4u!sZOzuf68qdb(e1y!{FMhdPTEO&SW==)kraycGTL zfU9_l5_faJRod-))Lb{Q6uV5Cxlcc3Kk1EIeI}0*;UGN^`OFm8(IxN2sp8H4^spXs;?e) zx)G5>5ZlKDj8=&^`ij)a_N=2M|28VKS|YH5@HeM+w*NiBp&mTWsxAMHm_E*0mPJCg z{_;J>s115=2q8#B)ePh8(buMIc0TSkd!P1_RVg-MQJb9E1|HFbX)8gGAO2 zM;ULOdl6=^o{Be3;f&1@#O*KN!Q zOG7vD3uH;FR1$0J3M}>^gzpeQpU_x_4Lk`cp($D%HFJu?XVKn;re>5fKM2*L1<{Pw zGZeiGzp`m1mpg5y@y!GY&Oh1NzRc?IS@)8$MS_rsNDg+LhxctN~1=I#Rr^EWDcr86CcnIGnj!v*=n>)$omW`IM7qo2jC49TKWnO&H|Jqf#+qk-nXMDvlw z)AH2&Lqr*#Qtz?>!^|5TI}4Kp>Yi-W6fS9itJ@XoA#D7Bu&XYz6(SunnXTv<$wC*)o#Jmz~-U9VcIyv%DbR`s3 z$@nL@TW&~lRQRz#qH=lM)jJxxQm2Qo5BYNEj`Fo-SJUU1)VGgA|pl zZpnwIhL5s;m>AF6B2l7G(prY--IDqA=4o=W+L87~-|yhduzFE;Wm^`W+LNV=Dsip( zN&X}3hf*aK=nPfn?ExosZf}`#<2?0iWAvypR;d^LP2nRFI6!w4jxGc8r!u*T?T-M9hOb;z+B&B$Tw=ACTrbkPCtQM5 z#$2Wru1$qsHe>rGuy89S)Wjl~QXeZ^Px-HS+L1|)yaGG&$~=!_Dq8N>c=4r_De4&`V9QkBMNuS*=nM$lPgp#*9{Dre8U z!X+AFbxN$jL>OAxjI8)&>H#u}IxC`f^o^9THIVP9FkSzsZEqvJnu#||PnYstz2(Y3 z3M#^!a)(Nr5A#nEuDTQ*( z(N-(nk`YRc2*g`tHHUtL|M*JG1M!R&0h?V(c(aOBtu_LqgtK68BK`bZ))P1bu0W`L zT5@ahZ`07;k=on9YGy zjwyfqd=6MAQ~1H*AiJ3WKoaX>?sEqWu?>v=DvdgHKv=Iqe6m*vYvTHu|9L>5Z}ayr z6OC(D%%Dq459jZ5pRkZh-<*%}JuEeL@c)r^cmQe~j6$D{t#6t+`Xrb42GdZq;m7D@ ze$427c#meHDs^zmB9X5~cxPPyhnvgTV;(pFtz*ySBJSi9k(oIM{%4g4qT|JhvT0H( z9X}#vb(BJ40}5Y0WylPHHC!tH498DNEFzXdlLJc@h8lu*Mb;-u=2j{$)m5QMX(d60 z17ld)&oulOs&>Urm^F+omlN~g0OBFKT=WEEW8${M{Ohw>qKO%1MdEW+$!)C=MIecm zG#+07Px7aPhg#GG`_U-vQ%E{!*;ai&M^+ZV{u=`SoDC!E18NYpoIkO}R51&mes3KB z?Ut%ooaNUt(77#+v@ho#Gfsd1d=SH;xI&YBQ1M}~AVcwRCb=9y@dqW5*PJ7Ny3+T! zPJHuZMF37B|3iO4EDPdytKC!PM9&HEtX%d#Zh>OwiG*LOD}P)F_5p}Jbb$97M8NoN z>$~&C+kTN;O|a&qJ7uWoVawk16xk6&I{+yWW;C0(;;){r<4SLoz5r~};PCQNLtLel zr>zO6q-S2_4cYf*TW7=>Z1i_Cg=`=C$f}z;9v?qy&nnKUkrX*$Dx=s-JjYVI{oG^l z01Ein%4vN^eyMcR34ZrPtEAb8Rly!vYV3m>K2X{S$0~j@kvRv@NnPt|-eK_WF}jMe z{mtV82Km7^14lW2XAPD@yFNbdTQ+hF=rO}x9pjBiO~751Ba0^?2b|h0VNlBq&;8=9 z%q#4bwkVWxYUW*+iZZzpZQcU|Axea+&brw^AGXXlW_SSoc@C0E1L{d#$g!xT2$*0Ld*^31Dkpbs zZ)uE)a1fV3xRas$j)ut;6TYMUyLbGxQ4zlEZ&(iZ8ULXR7V%S{jZpICvpHkZ|I1O za6mNO0TW)rJRxzp->Oz~h5H?CZ27M<#~6cdNPVzKukmiO3~1_rDI2u_9|l~DrK=I4 zH;i8qqF~t;Y)oS&I#cDyzY46ZzmE(vwB$e4;K(0$(6PLJk4n&*$3|KWPk_mi+d zk8@Fp_fVCuhZd!~G_rR&G5`KXkCW&|y(u&y4)Yt3z0Qd_(I#ov3(O-fXVrkG|Bexo z>ABpaUDrT%fAvs@HGl_S5V*OoRaIqbUe0K*6QEJ;gMKMWc+f0zyrZcB3?Av?HYt0( zU-?rf;{Y$xpm3LFSs`XmlyItyHeY89Pca3axKZV=OyP|Ou{DR(EO8yjHIj#Ypdx4u z#v-1BQC)Jo8Zh|QfbM$SyS{$atPCM+c`1m$G1o8}Z@`Nw*0~x3F%7`7=!dE;LImnF zO+FR5l`_5wQd3$&UN%qmiv@b6f3S7y z{LD5pI`AHoWirzxTe$fe*U4un1XBLCp*M4t1b_=cLa5CVkJ$vEzGQHE7Zv?b{>>L8 zl4&}((>Rgn%B|l$sIAP1?wFXso0Z41SbFwTZ|BCDK+=(_Fnj*dCHXm|rhT(j*t*Mc zHMxt*jc-CS(?69$5cSg7a zGJ1yS7zO}a^WMqgcY%>dh1EMIDEB2$`d1IO{CtYrd_58LbT9F^_1qBo_uTT?^d$%A zit|!RurV+E$DeTW1%UJ28Ku32>$}d}?q*iTTRZr+`@Qj-Z4`WzO)&vpf0r$*3Y`1c;F;g?BqnboPl&U`qQKJH*-Vr zS*z1BgWp*h08Yi$VP4PZs>rV_1kIRDyXBjbzMHuEWuE`2mSLuH7EzHL%Du}RG6a)X z`?)4c8$@6+;chbW3$yR&PgWgpyRvq@#0Xy}5tqxzpeSZY}oyocj{q&{Kl=2L9708)4CWeNb#SpAD>vaO`Yn~nK zd)S+-YAX)xr_1jMfR*ptB6qd`Ch6Wd_41`Ogj;!8nGh)WvAF}Z96a?pK zOkJK=lZ;t7Ck*;bR=_3n$-O@I(J)Qpt(BvFx>Vc1zn#q~$`vHD?0ZQ#&!+4)DfU)* z3ph_dUp6($1ysax^3~EBr=Vmiz(HK8Af@5*JZEQ5pc^spDK~NzXFYIEBHf>=EG*#GV&IM05$z1+(Gx9ZR?c-o zXBOG7ZGnJHlLu|llSv3}NlM><45Q`VK9ZL~cFAJ%;~$wyd=ZLMw(PLwY3*!MLJ_cqnSiHLG9{~UW0YqsB8px&@@v_+=L*~@otu{a5$7A$o0U} zBK8XWl?-u6`gZq_M#Hn&cBb6cqrfO^o^xgJ2i6)>q5>s42rs_vPehJd`k zM6%yT2hUd%%6wEN0;PX=`*6mgW!iQJ9hMbcz z2psWovay`9L01Q%fLN!@2nA1_cdFbk?bS=|#iin#p_2S|(?s%U{XJIA^9%%~E9Ry* z)P!I}xb2+VywO#wV6D1UUGt9kw_=cU{p5o8vBouO2HBeb^;yiLGq;H?m?x`*L>B$IgwWd^>1Fiy*Hd`{Vf> zT!V+za2=+JL3yEJuzzb3Gx(JAdSQ+HTdPi#)c2^XD<$#_VJ! zfYAcDPVpOPD>LK0yad(P0Dx#~ja{C=tCG+PyM@2Mo__oc3)-jL?<~wGKw%Dh3K*4@kNBDNtksYb>K_ z+)%W6)=kX2PIE~_D#)y(@ zf2<5BFscvxPvAJAm2)wBV|!a^^c$}I1fgBDv3~nG@o1aYu%DAv8Pa=PpYC6cf-;r7 zA{*N%{_IrBz(-zdCuSx!A&vFt46zg>_O{VPkkd!l{0gG#P107;hybn1>AF}JPpU32 zX0(~&SVj=9B6If>ORaz)$>ob@XI90c#i%FEd-qxcV?SJ>JhcU;^!r*OZ0q3rx>ERD;m`q-wB&g4N@B6*>2;F$AX3%)+iwM2VIwtw8=`NuCF(#DVB0Vif zZZde;wgzV0%3^%Z6&pbcx;l1-#CVlnQKg!0n7|FhUt)|g1e#tWfJtLzHwFnJn*YXN zTWRf*T7A1SI*;j~i9p{a9P4Lq#C#*?(v6`xm)bK|NoF({vF(_knEtkh!}^SF@%JZ( z7Z9C&3Oa?+1t%=UOr=x&3yj~@XFp97BMG*W0405T9T|~i{E9ubuPy(x;jB23e1h^f zTrB{6af8`>h;`g-b$+S(j=fPnHo*}CQTh-k_2uj)G3N*W(10VfHzQ{aAcL%9{l4_$w4E|zR^Gb8 zJ0>o}Ij+ipO;#2+Acae1+x-6v39eH$Ijl2<`Kh8ssm(>H^M5G3T6R*(b?}pts@fr| z;~t{~0WQST#J8n)Yo#4_zxOb9hmO1}zyaZj2ZOJO%b5;ZK=|MV_myb2)heCq}guX230wu2geR5-^;+ixPq z{LqrrzZZA6vdlUP3LNp1avJ=e=B?@rp%R9w23c%`qCRyx9V0Iq#uI#s5f!yfSUl@q zYXg}kX5&}fW_Z|Q%ta2ZO{NlW=hZsyT5d{6WS5tJ6!u^_kb`S*UR%8H9?^{hPnU+S@~&FC2;7vIB7l z_PZaK#mK}bzC(&HAFk8ER8Za`7Vgk{j;S-Bxtw^v-tRVSHXtZrPijtw(CZnn&4Ub^ z9Y~8%Xy*2Mjhu>H%e=I!3s-Di6**qo{zTSZe8P7`=^YVCg`_4Dkr#o1f37F0&p5}H zE*{L=x46aiM{d@L^ZNh^1!_Xh7xrl7I0*_wLpk`PKWAe&EcTsr6uw4!lE%ZfB>~RA8@y45TrQ)8epPX% zPl(YPd+2H|pS{03(%>=QW`rX$o}tnU^kTBM60+XDKEx^RMT?t3u3jMHe(lR5NL!(UhF^ z7@c0ASpxap6Ai(I&m85t+m5O}5d$!CoIinuzbcjORLM-RIsT2sI*#pjV*yO#q-F%moS{y5|9%puafhK87U7`GYTV^5YP ztTSZi9zgr)CZi<`lH-+i;OYoA`dq3K zL$5+A>g4$z*+61o!6h}Vmt%bWbFpoeFEQlpo6Hn{=jFlp?a*2&d&3r|?GoMz9ah%m}eJ{pW$SDRu8HKwFbS`FXS)LPGg1J`^`e{^XY4 z^tvgJO?`6tdHZp0!*twUaGq^nkBC4znlXMC|H%Voisvmax~=k0JbC-C#Iol!vgbZmp7}qb z-W(HioYQdN<2)<{&WCdGXwkRlN23-*Pc&*G`WP_p$uKxjq25US+pyg1;@%N_Ta4mO zi-Svt^YZxR)etzmbCoTRghxfPbskq+Jcev^;A4H^jeHB}lE90TM(@H>6T9)xRjk(u z6M&h8lyKwF3!GtwdMCcw`s>J_L#JzATzVBsNfk~hJ`oxA_1Y-yO{i%9^j6^$&B+;W z3==`K_S>RCUny+d;j)LXNVc{fswkuLuL*;hHostL`rfBgfWNfs< zE%aq4vXSP(+EV%J5kIpB$5)rxl0VXg5N~#|NCltu{^-xbC-Z`AX{|@xln@}HalZ(v z!&aJIk@FZzyc<_ppG;vNuZUaf#f7XD9pq_z_$R!qHq4B#$+||6jRsWAV^$uJ(?Oc% zvZ%yqiYy=fJ0)1sKK|3tU#El#{XA_n4?K-e4gqLY?#+SPY-~M94{;c15tOeLtIvJr z*y~ty$aB<@L!@!3WO2nOI&n&`YLLXD&B!Endq%Y#9xqsHA+KD{vg|9&_Ikqhdj1&J z8mdcZ+K@|O0s3?nLjp+KQ`)72%otrZ5~q=}4%mehpj2Td&g^G**w1cY7to}q(KYi? zaaH+ABT^?fN0eUOAhSf9v03Iw_5fz3VrI8aGdbujBCc}v%Zz@SXn>`bKwbN}<57KS zF1(A|VLAm8kPR&6zd_tczCF&*cZv-yRFPv0rqeT#1BDCSrinS4SUkzi+7o9;A1x65 zq}&D_^I`3j{x-D18uqhsj8xD}Yp6kp7PU{J{{! zgKx*Qf%PiYCOZaKOUO(&!2NttaH4EZDCN)e zFZ3Z-Smfb?n;I_=W+y^BAN^eD&%}dl$8??>>1S`h=A@};&aEh5$uOz93gw?g1QVd; z)YNP95ZEzkHhR{O>K3zjulIPbUyO8pnP`K@k5<$?>kd1Y^t;OO0po`LRocntpd`Wl zYP&r(*OOEZ{P5`vD3$8d8Ezh0R5-}{lH+FXpw z*lU1?aW(@$SZC%~leqy!moB6VYS$S^b@2g{&i07 zq`3zmP__QUP|4?niC3n6sbXsWQXI&LuSpR3lgs1d_+k-^F_6(*kME|;na=OsQ#EC2 zK8%mF{h`5w!KPYgF8!jn%W0r2-C?Z2GwmV6=9T(I|IPSMV^uX`pbsv=h^9y;9YVS^ z((V)yd)d!Xe}958{UEdWO9Uh;EF`WZ*dkkgVznH6NC!fT*#Q?q z8Wv!*Cp33m!Kw-$q5_YA3;fQoS%<@cfgo!SbM@vyvSZ?{Iy&I6z$eX^O0XWZMVnN$ z7}SVU-`B)I2%mANfX6-i*&R2r2>Z9heqk6*+65PaiWqYBWuD3Q*Ow;zwh)yNIM=c? z6mKg_aq-EL977sb8W&c{^&Uw;eNW}N54+&C%f5t(19<|!ssk#gZdBll)O#3++m(Jb1PmFwj8498xy@DirQ#XXn2nF`s z)2xi=TvHylFiHH?{cv`ocX}I)II1BPzUlW?( zD0N%RMO}e=;v-xKg%4+1Qj@pPE&2cMPzUbVe#ezPQs(}xAy9K+O{=aexn2TtejT#J z*MMR_$i1*Ow6I2CnErfNPGLJ~p`;1zN(Rn<5X@vT;i*z9wz&Q4K3%19pb1vepFMn zh=n)CKt%ib3B}yXa#c-C+0$&`ku&066m}0GtQ`w+)FV7sb`4V5cv9bec|j$6Pt7l8 z+&5$F%#DFIn>aj}BfDBf9d&^~v*qkTBvBz1Dv|mdP~a)i1=D1zioQ=2Jk5 zqeU0NV%ikH-2cY(=0mh&I>Gw-&0oO2-i)L>nY5enGjAA;enaO^wF;EL|3*AoEJJ}i z*;$#AtAAMsQ>vq+U{V~0Kj`(Y=e?L~s5|(vOfOe<)!o5s&7jUxtIi44!q$JI>c7>i$g)K+Lwg z_%plvt5}(==A*J~6>Q$5^`7U9p2K41*Nw}*MS*6bjFGlx#-VutN%t%)rw^q@%h?QW zKA}VY8yQ9oE(HCE!b;q^_6bJ)(fk&o##IJxYX*HdwfZoj+8*(Zwlz9#FLuia8myCjjEbchubeBf^8PR1GQmb;i)4>IZ&- z6U=EZzUgLJk=^5>`R>^LFzKg-Bp9#*Zk`F>Xd|R=-neWP39sjfP7Jm?PM+z8U^?%g zRsdX#kfh9tYC8(r4B??E3ks{P^|CYn$?>8~+HQS)YyNINMVu^7%b-a8QsW66+=V(zhbA) zYkdu9w9_aZ+a`me_{J9(pIgM=%`?Y~<*@Gx@NtTdfuuJaoMlY@iB!WTN&>z4G@z>e703&{Wftv_g_yXu9zABNi`1w}W{_0k3t4 zHQmfMS_7cW;;wgqjtftWib%ix;GnrAIvrwxwAOv3cl3VT_?0Qx?S*pn9>(3q8Q+F2 zRwlNYCQ?p*UR5pJ|CL$s!CK(=$KR_kq`K8zUj1pBxXXZFg_u%FGvoIDp@>IKz!`;T3V$?=zkzOET7+5KDC?!{-< zjAGX;4Gr35u+*J2;Z|Hp*S!Jw+(sqFZQYO$fOB1!3kd#D9xv;xhy438^e9-tJNUyP zLw)c)o<%PAzS6w)Os?Q09e+}_joeo6|h4}?lg`NYE(O}*!{8kU? z z@p+LPXs%vJMHW|h6&1?#{8JzNr>CLV&XEUkHMX{g+O58sY)_s7as*B}LMl~=mpNvW z?V~XYAT)klfkf1$1wA78ujR+IGGuZgl7I76t8p~+<#qwz)Cn7f5IPsUqH)l*GJWCF z)=^>2G@q*DV6lTnnDJhG@qm#eKa*f%VMlQ0L|Pp}%7wKc?inbd0wxiyJsG`S0PQu} zcMX$FGjRMo=EePb4;BCFwfkWSjP7hsdOb&V9R@%fyruLdM~v@Am>yny9=1%Ury2od ztb0zJlO}2B@%2=bE7#Kmn_8hUp(k?)D{ohe>QDB=lB%|sZJgR`FuD(syS#AUGkn-Z zq-JGc&}nCb`)|q?5WB+=mpg8R%#lvy!iNyH1R~Fm3{TPABvcE$9i+}_>PF))cbB@c zY9l+eR*W!X=Sc=2gwN0TEu~~C$0uM=EpKcyO6>KcWa!&rSmqXH+C0ffpWc&pBl%IB zy)g0)JO|0#Lwvz&NPT3R#5_wiyB8-orJ0BYm-Jsbxp0aX{U66CuKBfh7?Vbr`ST=` zkYv+F{JP2e`u{GZ7wPv4qW*(6o*(2>sA0?*edIB-G?)NbzYoRnx%)xN#m=1Trj{-* zhBTOepOUF<@ zr){!&ic|Q`{imCp&so;r)wYJ|$~c3OnU>Xfl>y`{m48 z85pnoINHBTs+AQwq!z?y%zEI=Ib&vd03^y_zACYQjWGYrXZ!``$%m8?w9`y9T+6#- z%k=nXi6)@*+5>#vOte|cdv43L0z=Bw8vp{NnI9R~kmRSoZ&2KI8v;6Lp2eLp+ZTh9 zgsq&q%Xeg?p2>=W@S^?>ADN#_=V2jZJoeSk33oy6Y?(TC60b$(RYkN(Xijp#wiFnv zquqyM9KGAaa=al9ZxNEF6Nm_%ZOo4_{$wg~$(@J%{J}F9cPk0mA46N_6iuerKM!%( zKqUVg0%V)=>k^-~&qFPc&&ia>ZXkVzQVbdC*9ZmU`Ce&CuD=02 zld(U+Vjlhb1X#dDse{xPg{gBJ-RrN-?~S+WYaYn-UDn^McMrPc!@N!M8}gpEw@W3Z z{$*-G#1%ZCcmhjNiDjAiBWYctQrwE?smRZx#q(cG`Ysfz@dc5wuYlD-2m?sTmd4Z{ zl^>X{h?}E0RL4nZ_>)htEGi+IXsw1ikOT@%%izh}=|t z6|VxcB|XWwO?-dDn`}zDj89AmzCewhgc86B$zvTG zK0lscef>}>Eu(qw5J%#aK=KV2R8?cr{NV#Gh;m*(S>{%yPyMJ3_9|;PHKl zq$U~BK(gThjeD)D5W9M^ax3aM0n^N7p{uNa2hs@=KY&@C?ni`=nmL1tZxk18c zWNiWfrcpu{6NQCrdMC;yNo%)09(`SZy$Yn?j%hW{UDR864EosSC{^c{FGe01nNh0czt^NCdGuP3BZS2~28ye~ehFWw*+m-OKBPN64$U2jBms}?a;fX0ow|X6a6Ov%gL!1z5B)>8jV2NT*$vb;sL9o9E?tLP}8As_$Mv*0^P)F z&xWhlQ*Q)55J`f0HkRj`AWeCO|FF3S*=he?@NYf#T$@l09AJSAtNIDr>?lpYc-l?; z7HvyXc()h-8zzjmf?@B&YY&V`+CaOTIkc0Bz}<{sx=W6Y&u5H?Z~VJOfiB$vqc=SI z63>S_l4q=V9!nqH4K-=w;4SC##Pi+SGx79~XW)-k4@=L4>HUN5pFYy60(l@8w(KlT zTzepIif7YV|0rlFnK3Wk4%t_wg-L>yAr~TBa(vFqU5Y_`f@}=#?25YsilwlBHvLzF zGmaIBqt!GpVtSa3#WK9wDbJ|snUS6Gmt=tOkwo~LCCv@k0m-l7uyDlncl#R0 zb8P?I*!Ok@_DX0u9ic1sJ3aGwo?)sX}U^r^iC<>Frbay_qYkr-^Z!=hk9X}@To@l&~}n?z#P;- z-Y)_-6?LGom~!N|LZlvQ2XWp@T-OJLsbzpieVvH;Im!~S%I2kn>Rj){^% z*ZU%g`O3#t&&qGk!9{H!*C{sp2)R}8^@WTYep8axudG5wfS~LCS`2&L)Wg^wAn$9f z{nZNa3wv~Fz|2|cWx*K1oUPzD7Z%oX5Lep;6DXqg#^(&yL7xa$C5S7k=*fsW2M_3V zE7<$O!uw^L%puDSW6f5N5W|nK{%$9A&X`WBQeGeMp0TwWUTS|FEJPr7OE-szX>CK7B733Ty9@_#4r{-d<0<-Q2S! z$^g=YC4KxXKuE$bjyuRRl#FL1GqQ;l{RpLw%@U&&f#Rhc0SS<4I{_rIyiLa=i%C z(dr^3--#=*fLR;;j}?R?BRyqL^TMco?!K{*#iyRtgkNWbxK~Sq>P@+8!HwUr{Vc}u;Q|W4D0FeRW-UVGlwPmN3kkd`- zfkFUme;c3>zyXrp?X7Pg`vOO3@a$vBXHu+Y^j+v`Qd4r}NBkh?zxl1uAFuxq{S%ZM z1i~*M&Q0@JVT@P3qj5B2kB;q6&g;?LCSdEv$wuvX& zhL)f~qb|4an*N)neB@@M%$WehaAA`B<2AtWq9iy7v@I=`7uk#JJ@`3fMT|5&$#xU+ z?|*T*!>~b7(OD^${qNdAXi0MX^Dc)no#X?wClNA8*UC~fvP53RI%z8K15_swV*LeN zqGu&=6pG+tlXDhRyi9_wF=QvKJ+-VYEKYkxEzCbeX9TPjxiOlW})qFW)#p|&63vdR@tx0ey&#}X`KGJ5ke+5tc=htEmh z3ZTYMBZnj*J`^+^747T|>|}K>vd+mU;h68 ziitFDb%0Kp%)yTo)~^7t5>aB7p_jLSQ)g@_ffJFV&J zzd%Lidpbsu2a|mdN-^S|LiP*>*#><6+-j{NJbYOmbIwgW9(4VG`xgya_B02(qe@gMM+c(vE-?ZBtWeR zy0a>IAs=1>iGZo;9Zp#+mb%q3-{>pH_Ofu}l#;5@%Wi_S+(Guo;L8Nu z4`n(E(C<-xA(wnZc$Bo}V#10sNA}n=?Lfg^7JP>oAH`Nc@$0zRkl)kX_ECT+esI31 zDXTjn3BN>_G4s73`L;|`0Xqgd{;Q@8IL>Lp{K+?ut<@F-e~u$2+F%m^Pn5=}d2k4I z_uu&2oupliD~?-Rq$Wr7{~eO;M0oZH*D7LX5!D0}JblI@@TPqOa~>)aew)$oY{npsNT zIj$os3>u%uY=Hbe1bma=!E`KmsbCxX1$Fs70#GDP3Q@W`Akk6dvK#-p_0{_ZvBUAi zB0Gyvv6OZIRS6W8gu%igi!KNcuP}DJAOMt}a!GuAeB9@v?Zir;v-5@kSbB=l<=CgN zk^KReoY4|$@i3ukVKp?&vU%!_aq)3u60d*le8^x@c#BdQusaN>s<*Hh{rru=UR8$} zTofyQQlpPC5)gFTeaogfdAuM6+NXRqv-EC2FLyh=a7!$JV!mltVYEBk!}qP#J}f)E zFC3n0@Jogy;F%)!2H>OMaqnrK5^z&WN=-X45F(!1U{9ibXp+slKHOp?@RM1jyLf->g^bBQWV|O3&A+@M139=-ow_wGJMJ+9cr$`qW;7p zfrdH8kpe#V0@3zlMIenatd5nR(L0nDO7=WE4L&FQ%*7(`ie**!#>8um`Q!z8vYqf9 z%l|)`t~xHN=WElkv^3HvEFDWqFR64R-5}DSEGgXx2uOEGw{(|uiAgTfAg!eE4&UGB z{qxSw+?_Zx=bYy}b8a9ow3*?c1_hBs;KhnSF-r=%etl5uln|kz9pIh6JpF?Aa0tzc zTbI^N{-QqU1bU@;0eUzPaV!n<;iwBZ2-|soQGV1@v<}lAM_G#!bkBGcCi%qjq*dzXMnEV5>fU3$epO}K%5!*hn?OJ^^rxWubUO$=_gCoNKvtje)j2g^ zv)bSyzd)edu%|y?pqp?i=8a~rIWJ;`H2c_}p)FaYm%*b@yO-g;Yst=qr*x3CXrj}8 zLD)UihU)qo^9UPTTjAILmT0?kT2-R1SO+PvPre=*rdAS;5T8zd#M^3)M{pNCRl?X~ z9d>in?eiUbUBoYgvOxW8J?SD8Mu;YRGbyfPe!+4Z$@PL31D;1TReGjG7=8z^Ha4m| zK*1-i95f`lf8GxYm05kWfX(LS*sgoA!oT*$frtJg_^vP5tf9>Sy}=d!u~X!^7#7BH3v=@De8flQTN(3s)L?L&_&lM^ zei~gVNAjkN(VOSKQ+<6;UOlVX?y)YuoAIK>2)Q+uPBRl`_vr=&jNK#X(%U_MiZJI1 zA5R0w(v$z6J?pKM$Jb~9bm-L~)sFOh5VqgUn=;wCOh zi3kbNUzuC|^~5wk1ji`<*S%lq7VFchH*_*azINttrZ*$cHM5T$h}K=he~wNJ`6|yx zJ@t^kJ#s-@5v?D(moj(3Z`}^e9S4de6QyxH*=z1JN5D=w%*949zPSj9KBtGA0&Y60 zHHZox241RjCz5SqznZN7NCnVN@4q?5yPOk;RQ%FTgeSd36GUjvo+<(1H*_o~_cIo_ z>rV}ZYALdx(6MY{V}pViervt+I*aEvE#&a)xE_b`1HXL?1FKX49E8y38&?Ntx|dyncCfGzU;R9qDuNx%Am5esx{bF=O2Hf zuuk_}>+_C~=N~%*2iqkm2Qq(uu*bWC7Q}LChlX*7p7X16q_Y>o$!>}30(;`b#)z$` zt-kvzxY)ZeRB`29@)YExJcxev;pAZ2TZi?v;t2@3viRRwAKvOd4ZY`~RIdS_a3mFXYDeCNI!U6FFn1ihdiCGD z9wlu9)PBI7Hv71jNP_4R^=rlM%8e9HB31r^woOuy1sh}QuS;1m zL3G*rGZ}Y3l=q(u#};!l3@2BesQ(ha!qx)UyBFjp5qhie0Fn9I$jtKbI_1gIC(6&6 z`3CN}{z!4=KSUXN7;M4)KSquU>}Z9uksW<891eH7I6!>q64Aq1{JpiXQawyRz(FL| zV;Cndkmhg#hvvbo{=Ok89{|LMVtybFb0z9&1xcBvHo)w|lc@+Vl^;4NIB zn`8Nq)<;^9MG1H79}mtG!tC0cQq9g4v6w4o^UZ$~#Uj6A=FZqYun*nlSi>zve@UX- z-z9FJ(KqCbE|-1p@l=K4+tb39!}@1fMw7dK;);`Ff5)2>wI-ZVt)hOoK0y}f!Epvo z^_4BY<4xj-?IRQ0`R@Lx+ky>IhfcAu1^%XNdLs^pxNU}P_Zeleun#VW%&&6NSC#OI zr!E?QO)}vpii;HO2SLyWUDl}t@0l{oY;yrkCqw0oy`EtxT9jZ~P?@XGyg9N~%I|4Q zR}7@Vc5{0nCUIh_BQrJIy`IJBNk_>8VV{EuD$3=IUQnZubKrd0J?7@;aA57SJ6S`P z7o!5wu&9};C^V|`+;h}b<9}g+qAPh<&k3RNPYB>WHU?PhptvgT^SCUSQy9!OVSJllZbrII1sLf zd4Cb3qHJRT${tnWX5rRj|UhetV#H(7iq@l|TKi&M6*kvJUDD0qcfaTK|4Db}_=*&MWwm)puB@lP`h@Rhgl zt9d+)lVV_l4@$kn%qT?d5rOYz^R#*%57AoTnr0t2^k&F;3X3FjY#wn?)KBK`)Qy3px=4ni9|ejRX<=@4e-4QPu= zSTv@R5ljj4ES0$7yhPxJ8)?YQ0UL7|`;rPLo7PHoGd4_}QN0n0R}ll!RD+-}akn%9 zXgf7e(KIbOyU8(EE3;9|%5&*OdDt^82bpmz8s4zAevtfsf%BB^QM;{x<-R$@K3w0# zFn=cZ&-+lusChuhudt$6hqgnvKvwbmeyZsYjFUQX{FzS&quX%G_=X!T z;_$5FfGblsmhGtcYWq3ga5(?)XMRP}!H3N?8*F)?NeDmBeT#Wjm#@$mlF`vm`GaId z83pyj`llV1)Q=I2vixgPw;L4Ek&!gx0Inf*PoQxa&KO?}zZL%RquqI!ixqKlnzKGRhy=LHGX#p4(a|4S!5Gc71jA6 zHIkNuooo~(bYHd~CnY{n+{3zmG}XmQ&Z;;m*U9>`Ql=KqKD4HGuvGI6|64q#Ha;hC zgF2Hb>3ZUuu}+;W@5tnc?11Gs))RZGPXZ3m?+-p;{aSl(sRFCdG-crWVb_{a+B
0I4-a`0}urj~gG znj1yfPqL25n}n~qPbxBG1cvKzL-6kTI4z-Vp606UL()e@0PHkMk`&$m!k6qV^dgW#XQ z+IF!kDY&mR@z|8%tSbP7k`X16%|AUtI-SBhP0~B>0gU4?rSsSB9CM0l3Qe@1aJTqS z9f+t6*Lj}mJWcVFr7@bY1Scr9N8RL~*W_%F$Tq&nXxFPxKTa^YndGXhc#oIF6eYhJ z36fS4&`#i5Gg_A$j**z&G z0(T}6dAX4z!u521oHvrHs@Y-M*SVP0NT&)!3CLH28LVRQ)W2^u6>4*|^egd9C}l<) zpuk&5w`N)k3XCfEWgCv}f#tJD<>@2(>B_xif_RbN*U*}u*RYde|A1ge6NtV(s^FD* zWH#9k33I{>8;oQSN7Ooo3Z@atuZ8Kaeo93u!H&IA9%}&Pkb`2?-S+tqMMDhUyY!J2 zgNM2pQIjYE^P&8+%l%C0}arlf3w7|5Yl+%qiSVemlPu?~gpxez&BMnZlTf!a!d` zF!_VGEVk|;6^BhdxsAK64G4+!r5Ks(j9A@6%&GSmv8o4rKHj`H7_s6USsNPxvHC`} zNQ!Xw<`DLpICh{>6lpVAJV*V#XV9AX^u zD6cE~YFb%MJ~p>29K&UU;KdWDcl7r!2}KD^a8e)g3B>In|NLReao8fQ;Jn(S6eRc- zdcq4{OcGzXzT&{LyjAfdtXH%#X=vDzOzakJGxF_d0XN?49y6p3XhuU>%Fx7xFqMMP z+(hyjj%9f`YPQjIQ{?w9b0VGe)L9FWBu&@^EUC`qDhZC36VLS(wSIrgo7erRUc+J(4B6WE42| zdPNzQT=$*$SFx#WkK$*AK0p8ASGYld8U4NzU2}h>7JlAW^5ne6 zJB+0{QGh9Cy8|-YA~0*u+=b!Se!}}$lZ=69?^)Ug2|W+#0yce{4Q^Q0U}d7;_vhN= z;aT!fnd~gw*vgTv%2rjAj73N^dq?ag;VX`sTd3yO6e8S1{b#CI%P=0aJ=m*=In&_R0uQ-!m8OTEwJx8cb`n(K+ zcl0B6R3AO5>U3|@)wI$WAs=jfP56w9JLSX%K_0>r8GN8L#(L5m)T9}c*%5ONmnZxs zb@p~=FB8`YyCu!>A{E@B^nBlvw)y^`kXK>S2kt^dzal%ywEl-I&z;?IinKu>cQQ0H zw4oelD2;hrf{EQaWJ*4_V&NFyY*H7J-vNO26yZ7krHmsq^3rP2;1k&N7mLBvkWBJ8McXBHGnC1rC;`-NXLPo3OMl+P5$x=x? z;ov2XG{ftv#hfzojL%IS>k@*aL?ohrZ6dJ6`yWm1dy=tw$IC_+#IarWuD^Dw@Y2x7 zJ73drv&{=JaP!zU@ue#kZL4(i;Pmuhom-G=iOBpKyCoyhkNmp*`N{2@(NtueN!3FL zb&CMCy-(4A<9OLfYh|K4LR#r@l*}MB_z^j;!mv-jw|tPh9p=ihWcX$;vbv&%Bu7?I zLI3Yt*L`36xM&X&1i2Mq!H(e%@vkCXxLQ(ZwILHs`IMZ9PreJKHQp%+y_Kt;IJX01 z-N~IMzzZKVDA@8Sjxn6ZmW+JMy2Y+AZ92ryn0SCVb$xQng#5=~-s^9KM9LTM?L#=>0q3 zi4uvM+uqeaTh!YYlXzD607EkJcY;)v)*x;FWD3VxAN?RLnW{o$7a9K+ZuxOWIxOk? z!I)4H+GY*fgfsp`hVs7Rw{r5jkgXcDX=nUtuR*6$~{5pA_Ii|wl1GK>_;tc1eOhj4`beSKpschJ|s%;4%+&hS|LMl1RrIx z0@H7BtQI13w8+Z303UVUZ<;>o_C%_B*jET*x3n}4wI*W z`&3K4r_}xSx3(LaFb&UGNY8*JeQO;r3ANg+>7Q_(07HeQ$DrU#$P%O;7xPG)z0Huk z5ToTD|4h?rcWD~TwvP27V@clkg%`%OvAf5;?wD|4P6+wi<}P`0__@)T-!nHcg&$_m zT;QbRH~8NpIpB7KW1micOMfDp%?7h6P9({o5C6Ldr?+2jV(P2|P&K74Bdc|?uWF7B z165l3yUvZ4Zv%pMb)0$CcMn3Qo#ViilPUgKzDE5O7%j7l+t%RlP9zB$*V!Lw@1$pJ zTh+)SIle&dfVQEZl6|jP4DYl(JWgb6IJAP;nBL??UQxbF#_6x70s>9)`A|pbHOoH?hl_li~2S>Q+&Wk;khf|2Ec)JWRC7 z%b36?1f2H?4%N99sdQxDD-!Hrr;nEugkOUikE{YXxu!@@&V7{M)Qj$aw%bpJ@cC29 zyI9MEL-}x0RQ?4`_(-4qa;w&T3A|6&;n)}ndQtiI(-mdfxTVU=7Z^O=lqN3LCZNHK zVwFN;67VymH!M3^Vr6Bu*>#hPv@db6mA7eexG8%hAayiD|FW?IkGqAR+n(7J)kR`n zQ&(#L06y-lIt~^y(Q?#9VdTG)cu#i3nL(mD@iDQ;{*k!=ArUJ$uhL|CEW5~=fT&_L zJp~KF*k!aFlXwbr{?;MmdNYw#W*LXJ?xJa#=;F6|Yb?^8$D)r$Jvce0NVRd(V_->| ziL^K5l?7$39in*){}nJs2A_y{Q*!Ve23eyKaZJ%)k5Ujv?t2%k374*^7T?{e`HFUv zlY@W6+_qQ(b0Fy{?86DaR}S=_Wk>!UOC9J3fkiw#y;)is<9>MK!H)Al-7kEJrv~h< zH7?g$?$I!o!ibB&<3}y^Y+~aNSIlit$*{dC58W>vq^@4Nxh*JNn}seI>4lKI4c_t) zpziBNx+6l=#-j9(7ED)L;*lbxJ9=lIaHB$2_&z3_q7AsRK7c&>?$3GXo}1{){`vlK z?lPd7`6Dau*~0MI0^M1bjP&7*5Qm7>iZc)zo1Khxl4 zrG*YQg3q*K{C$A1Uvy)q7Mjm2(T6Iy?D2y%_g*S5*`8{*i^@zHR9A1*Wnrvk)pd51 z?z~)@6jsf_1=FaO_-N2E$m(w^JM-eGmJVXqhoqn@V`teF;7K%MAsqn&J11_B=xDm) z_qa3lXV>>4DFl|Vjd%L9uHFSJC-~>Do1`)Z>f_AR*?HYTiE!x(SmRA9mdr7iYOFve z9~={rWGJ_04LZ;8ZM=A#Zj+QiWFWwQoJ)9qCL;#N^nRJsr3n_#6l9rkobFH zsl*Hs73~)5U#D5ogO_8HPQwmqBbN9$5!`4HSa8GQeMwbZ0t(QlkFW-`SZeim#}I!IkmM#YnlWY9R1z&IKTCXJ&_xPY{2<7|1~KI${UJI^*mx zmmoL(2TUmm`#3Qr=)`>bbd6rDCtetcMfI%NpTfHi-AA5oU85yC`Y2KZ8}ZrwTi}co z0&1X`QU*<^r4VQZ0+mwm_{QA#bt}2V7VhP>#6Eg%=;3ut-5Y`T;uIMM* zmf8WvT!MsMxrszNKy(srkA2k)C(ynKMeK69@~XXM)xN3$P1bw~>r2WGv6Lf~Da*I? zFn7Ibdp+Hn#vscDxfB|IuGfSnOcy7GHaAoU9dTrp|CU=Qw1j}3e3TsUWL+CuWe8y9 zo2-_3a&My_95T|u58||bt+UsL>>m90U#f#D5ytx&P|+5&eF>(tI088KzDpuLR>nE$Xy`Nla6p>`#9h%MKS;pB_69=&aA?|B&i|CI!2KdrlSagi;DaTICYEN*;|m_-%u^A2bx z&+L(|R;7*)ITeCL#J-uYrRM3(qzd65FL?Z2%DFnd6buJJJ*tmqCIk(Nywo} z^@dHl3vuM%7p#U)y2~fzQE!db?pAJpe~8tLFnF=^;h|ziG&Y_pOIr3ClHt!JmZJ-` zzFIp?Y6kSooaKsW%-=cqT|7OqL_ij8EyG*PmGQw5$uUo)TfL4QJTd5E?jrL;i4=wN z--sTCxJf6JSEKVk3pIm9Z3~ybm-mv|Yr-C4k;!C4ugTYvFkh_yagAJY5)pV07~CEO-71QJmLBM3uAVs{@KhOj3tM zcZp;q*~MjD@|HxW)`{CTIg(A&J)Bhu@#H<@#r;2mXTKU_vZg9aDxie zXd@+gf)XJXgK3Hg_G^f5q>EvMT-)J*X}kadriIh!OL_ku^f+u*#8|n7Ofq9}Lp11%aE0@Ag4kM#Zc>%SsW~nh=JzOGa&cLgfAmQ;s`NB?RU|%mV={(dtLGUUs52G* z#lf_3!Vr-1`E}~4#ENDE#EP3S@t9<1?5|~J>Yf>@kkuFSzc?5|Qp~fs#iJCoECQ4R z;EU)ib3L`WpWupg3@MDQK|C+yFq3Wr5L~%p<`1Y?ZewRD_Sbh0NpNik-kP~R7|C~% z?W6MUr^@Rz{UMXJn_BL69myNt%=k(C?PUQ={3mQeZnlGm$7-+MYbFloEZ$1`_>Fp{ z=~srK34+f*t(^w?y7iJDxcNV3lR_0-Q~AYV$wnEJpxp9(eCF}Gl}al*nB4I?(#4CY z!868=Y>S7#n_tOzzP5VEkaTgo$X>Kcdt5RrU?ZJ3yYXbpLFHW>M&*aXi&6p7aL>hP zPq4D1ZpK2ktQcEhvS6~=_XlCI0(l}!!`n|Wtq07p-KhW|1klwCI@gc?+mkUK{o%?+d$|t44 z@xl;oxO@&BS+V;EM7xIBU8ipg&Uvn5sAkY`&JC)R&%aZG8NI7f9~%noMQc#eSR=Zu4BY)Wc_L>Y5KlaMz7vOcpFwVgv>p`^?%Pn5}tqS4O*?_gKzkAIrilhrI_^v zpbuvQP2+ca>%q6rE#GNUq_2li{@P&^kLrDNTw=wBlk6|wX|p$C^GuwH@2P)z6~hCQ zyXK4qTt@HfMRmBvJ5Bw449j<5+!Km@y4YHKk!z7|Y|>$xn|s)au|-;Q&ZTjReUBQ6 zkS#Pz4l+NsQ=Yn5g=xS$`WU|b3wtWXY!;u~^3JgK?(I|Ge#*J;pZyNa1W4U&4L@uN z>tJ8U_CJzj;$%^slW%WeLaB_oXyfiTu+&f;s4U)CENaDX=nuD9-#f&ju}Cr*&;};~rBBRdTcZ;7IdY?qtx=#qPZdC3 zJ5Q`T$<4{Ac7RQSp_myJ@CLQN*2KF=1o!hQ?sHUBJYah3;^RPxjR}AyhNI1wRAZr4 zAdRFo&j>=3JRn;&sE zq+CWrvosjgt7u{gTMh;#3$uPEnWtim72L&$tS zkKx*sVc|yng9&+^NCBZTy!Yuv?4RC2B`A5KN^2-KV&No`OnQ_>QLHB^c9&c@?Wutc z&Vx_;v^58FwB$*5#`Jxj*F!00Nj+X5u!yF^5k%s@!l;~C^#1`90??UwBM>`yM2stW z*_C9mtz;DL_7t=7zF#(yR~ke~=n1qY8s_Y80Tde|Cl(-IOeJ)J=h+JLbnubu6GG}^ zjDg%pD9o>u|2RyaLD zF;BUryWHYOKEsQB6*qk@a9zlhMbu7Co-Q_vJ*G^ zlNsRSmS)!#*nosY>&U5f@DF2OZTm^EQ_3%U+@i!iqkxp@u)T;~BbH=37xTq=!F+t_ zb*5L9jz*G(#=K_B`zrJ(7-vfvW~S1t5FC}8_-uf&5O`+AlM38%nKyWTtuVjVFmZX& zQ6tt)+yXvFAM@`6IX~pa7w}keY-EE4P%)(@c)nP(lh%-E(X<`ubRxA8135l&q&t|R z>lvqoRKS>=oIDLc$eAEN8m7s_pY@Y(;uN_Obg|I!Pk*^msSiUq3g&JmiO37Ch_{o- z%Cc+nA+;^~b1VUD>5P)50n;~33Rhvm^Jc{ZApOqojzZitI4N2gv-N`-668xABRNcB z9!$nXYDU4N4=4-Rlu-?0^XWV@t5Y+p50;4wP-X$)iOdx_dO4ugG=HEV?ENZ!j zs30-CH!;+Tzft7wkN?!(yM#jyR3SV_6cYLfdn;+z*fn6BQj>0CsTHRw`W}a(2_;kN zyV>i{0NK2x)62*qW5BU`A;>y`ovCb)_{9Lzk-!{9Hv5rIBt$9FEm-Qwv1WX&Ltn{E z$oH!HhHu7gg1=*kOdt#hJ_ZNou7=e@FS|z^Qf}=2jAf5`#`iW1ue9LX&xBGbS&tY+ zA~lxHXyn$3{H#?hETjp_qp!;JW)&3+=EHXaK>e7XN85_R z-OMOyaFoqD0@qhvBts1?twuCp2cRSP&|AZ@1|kf*+A$p0DGv@U4qS1+MW`tSDW&N( z`h(oXPrn)~96A^f_8kWZ_2TV&^X=RF`1$=h@v_6Mnvq^SNShiucPGJb4Iu2w(?43# zUhN4*N|Q#Pd*YV&=|P5&E!{3UEp^+n}HpWQL!INL4jMKOpL z)eBJ_15`!0#X>8JA$OO;R$^3%YZc3$jEfX_y4^Tl~5pG_o z7JvK7;B6AK5o$0u*LIQ3(@D*oxV62boT^ywuVQ)G(DTzFOGLizruE4O-u>mieR{N1 zgdS5_#ZBjvLe3^L;rhe7Kt^&wvIA-M z>ebgbjAx>Q)ARn_C z=&IvT%h=CoXzZK?_+2|k!+#i66_`!NA0c}37>cuF#Zyi>(P1G;-zl13>N(}GtGCPl6VX zse8mq0FCv;i27rQA-Vk)P+w|CtS5hMHah=%xecbo_t5GEY0<#!?^u>sWavGjWb(9s z+oM}Ly97Hrf18sV1GHIi;%ml8rOaz{%x~40HR4n?pua(q-+DB5-7#t^USj+v#QM$U z3QgYotao`IS2LA3L2p{9kIrk0`!v)HMtt%kA%7!&PMJvUsJfUeg*~r8eEcCqH+$Gw zZw8ETcWst_hOR~$_YBG4hbSNa!=5q zi1apC(i=({u3z6me$egzo0jjVE$zs3*TbGJtH2x^oJ!Bx_;;SDV|M#B}TRlc3v&C1J+q1ywU%*q^=Li|FHc-0Gt&8KJa?qCO$@>5=wK?%_xW%Q?=c zYR|0Y={atO`L!CeN}TF`bxUim^oPFqzA{NKV0<`ddZ zH_ipk)^^&ujy%%m%ibYLS=?0U-2>A= z(?w`-vt)G95qc>O`m-xcK%Wy<&vUWVcagIZf5_SCsy7G(;OpwEKw@u)_`Zy8+Vhz1 z0nbzSMOXl6Pv!HchvNp!>I*9HnGkQsthRE@;QY)|ClruOrn5F__DhNIAIu(csvct& zDt`Tzt82$H%9{g=8$#E==CDPtE$!qteTRg@hhKXSUrRWBd#rhVu~u*USgA9APNIyidd6ao)f=Bt#}(cvp3&IYX^L9s`{g30QO@GGWkWa~ zq@sq`K22ww+1UN{OXNQBNEW%jY<9q|n>@ew|G%O_r90E~{zxdlZulSx7RQ%EtNSlV zQqy-$W$;b>1T|^O%Y5UdEB6E)e6Fs6vKy5`8deRxb>Y5Q8twk8T5LdPhNHo*qZ1f> ztR8VpOm^{X#8?E2Z}2es5H^X>Wh zK2hz1UoMQWi64&{anibSi!P6f=0=}YgeqZ_%T!}R-g*nXZ3%Rj2*Y{@0eL)+5NxLi zM9v`qp1#c+XX&;5I1RI@&iDjN0${A_RieT?nqf^|9BNZNQgx zE_DN?-8Q2XMN;&LUYrIUl#n~^uy%52qW7TqvZ4Fdbr&#ZARHNW;(Si!Yxn-kdOY*t?h-9vFyFyX; z?+yuLsT`j@&se7(ZR{*i{qbPpcK6!043=c?bA4Vf`~KtOO^-oy>V>Rm3DRgZC^2Ac z>7pu9U~37zeDkqW3+3NkYzD2%%J`keOFz=+Lk+qg{W(n>6H#l~@#=frhn1?r5mbvu zpPxhILKo!Mu60~ruJ&k?m&ToW;mjH=zdzS%W_EaQG}M=stEuU~l(WA#brKQc_1;`H z+Um$n(WoL;$(IiS?Gyfm#0(74eKDqNk2QUw_+q&1Lj?~e;D{x6_) z(R;RP$^M(cF+mT#6VX2IPH4SMpgK*a>{lr&xlg3R^7+BCd|}M`JM{t|JHI3z0c3U-gy5>*jBstSu6{G&pEtC$y~1W;D^n^esR_y#+$=?aW8J z(aVn`p5s*g0;me=yRgKc%HG0?v zP*{l;K7An%g{{{!d*)g7cNX8tyn!xmM+gudxX6aFy=W(U*+TyHz~(CmDdJ9*Tc4=8 zd*6FXi#gHq3)}rr7EOttIdMOogMV`8c}BS~rLjXg7Gk_RlI8X?mFH>o<4Fe;Exp~a zg1~YrA+~o|5EbKfi)x5jlpoWCao>UZ@WFl1;0Yn8u#A?salwIl z>4EB_?iD-QX%`3>$YS{qEQ}C)`lv7SRm2h|?Wv{qq{KM%-7BT)hh!lw$ODCQ?J> zp0XgGU7tWO1;!PIw)6Up4yp%m;87F)tR4hPQKEdo9WPm2b`I|o&*%eG9U6?YM1q>v z`$NC!HlYnBeXD(#(#s>N*)E*)MEJTd9@6jk{rcxmxHA!`gP+T`-i(~3$EPP7adXV_ z@Y}*Q$7IARZ}&|!341hqn=QO?0nD3_!+9FcV~eA}x~yb^n(QTK%>E9lesE+I1^t`w zGRItZ#vJLO8u`z>FV^gHYe8E##a{;^EWDM;V8%K0$Rv9e6g*$9!AI78>D85??++ug z-mqevmRIfjm-O(N!m4w4Z%2ABEa~=7Uspm{ps>O(ANav%iGA^S?>9Wz4@&Y(hByRV zIc?}~);{C>wpk_+(a=F17E##ofpbvn__D5ji83T>vx#w8A}av~D|J?c`py!=qU|)h z4qosY^`VuO>)s%JVJSg3)TXsoZ59ORRfgHFmQ?6d{;7u3uaI@!w_-T-PVo6$K#Zg^ zO^=2jnyMZ?H#=mELT1^0ldjNm#)ouy^LMqp@;$u0agwXj5KDl*BO35((oj9gh)Uf@ z8<)g)d{IO8CGzeg)EaNDTnhS-WqRzhgu)-^@ZFB|T^I>3^~}biokw4FS$DN&0HqF~ zl8n8b72b8!^+x}%%EFT`-bnZFbsk^FQZU(dSB7*~zS14Y{y3^pM_b8az5x+1N7ftF z!Ag?9EDMTaLY!NE#s&ZChCi^Eeh$Q0jYTN!ux-IMqKSCwhij(S^P&->tGaGuA2!2cl=F{5d{oi_yMDn>=TkGoN2fAyui5- zD6<=<{OXW=el$X;5N2mPN6abV#)()RLgYuw3r%q&$T(Wbb&src0qP>KqZ6p(mCsge zXZ2)8{^nX#e1uL@B)Q#$%WHMWYxV1n%pfceuMQ8})9SINa$oFI+3^LHQomp$2Qu{| zD|NTMY{oGU!hgm!@~JvK)iR-CO^Qz1Ol!7%?v4j5Mj1~EpcqWTI5y7WvWUR9o`$p> zw!~LmsS-@*(gLI)4k~Q6Sw`K!-T-KT0zWI#qc|6^>ojvs1QjR%1#j4A`)Y@kJEN?=6pmYM&KbKT%L%(n6!lO2r zisT=Tv-~s}S~1)pVo3(TGh5NzbkTVyhzf9c1ca&SR3xO2q+zfhBH>U#gd1ipVu@i} z_8*rjD3c$Yr!&Y>eVnOW+t$}pF8nm+nN#?)&h%%3Nj3Ylx!Jq#qJQHkf6x|aevtF5 z$?hF2vhaa%!GqK1{`gDkk8>HqfV{0jw45-tIz#l6@jpZI$ex|)6fqfH$~Bd^9Ai; zR#e88RJ?XnYLBF(Y3W7|su9Ebi-cwquuSDVPo+=J?J8wo2GJ!q^$R^?zWz{DrNALi zz7OcANub#14_8J{iRHR|5U{^XdD*X@{wcQTI#b!4O^xT0>@Lclq-fGYIvgyMWv#UJ z9U1-)2)++L{tM@jmd#M>2wNDLy5)Ii|Tht~$*ins=Eep#W;7p&q#(K#QW|c@bhlA2AW@qe^;wxTla&$ZuT0@9FfJk2Gf( zqY>@H73nt@wWN&P#J!kFc{Uh9Vv=47zMLgLuN}X!J^!%})%UZ{WAl!MZW)xG8KS}o zuY*+*&yra++%rTM=m^lSp9+#3Vk8^Kjm+WJ1;GrZ`?VlHWy(Tx$rD)GA6KGhf19ep)}gCZj% zvbU#pZ%LV66x#gysXs*<^UEpx*Ti&szn#}xQjC?>zw@T%bjJTxYJByUG<}0sbdK!v z4z4+Rcx&|HL-Wjss6;8z+J`#x^$wvfHB)9u2zG*YC^@m7Li zpjtsTpjO3lD~LYFz?00?7@3O_$*vYP>7?EeBzf4$*x`=OLtZ96yJmB2#}><-%>|cz za?W09vvJQoKee;@4D2O~y;2(U=V5DZ$99pi+-MKc!}1`qvt$imGqBVRC;&p#!e`P0 zqgP`PGSyQ%)yD8-h0ceG(_EP`9{Ye)C2=xPzqSvHEuB#X%!luguw;c4R=TUyU2Rc2 zPSMRtt+#5$E!ZQ}Li%JO(O*707*X|slWUcR-KAVL{wBnN*+TO9hFet>+tWEVTOIee zl1v}5t3n_p0pIM%5n0ie%oK5SKO~rt4yZ9}xak$jssfKcirO}+cneA9QRHlJk z=EP2BPCoZ=fIKXMm5eFc!L8_p4IIRj&@gNgA8W$=3Yd{wF%y;-s$ng0UX)sPL<;a` zIDArS%;Fc)Bx&a+N7NdcfKrhw8U(~(PQvo<0#X7mBOn}6pA_MCH2I#Bp22OC? zpPav_%To3?ui3T0k|!XKj1dvnZ337AGg@r9jX_i4JzFuKFf!(04f_|Z*%~(m4P^+G zfnX98l|J}pVeSxO@SmC_1hIor(hyTIb?_KO3?>4yYN*y6Ni!d=)hU*EOrJ|CBJ;$N zJ<_7ELMi^{WYVN?;{(ymDNjWvNCNN48U8J0a8DN?xK{>1|a3>?_pAe zZ8f#yE)5h}4H&;}^U!QsHIv}jwC)NVwPDtH^>LcnwcA?(#}{6~%nHINoQc5^Bwc3T z|Ds_o<6{~vpI^gdqlm@f?3|}hSV92L?!|avU2m5~u!wc={k%QXz3(?J0*31Vs6L)b zXy8kSl1w6!34h!QzoRfuw0{3Vj=K$v<-@uAag3G)bihFc&eeK)b+U)_C*v=)kZ=6l z3lShi26LA)-_uGTEv7eqxQ70XzvKa8^hP)7X9nfOq1^=0cPpqU@fWFoHZMTJ=Jb`x z^cAq$3tJMUSluVtt@m}NqXD*aK*O*z{;r(P@3;`rNU0#tMQD3rP+FliBjML~<5r^z zn-D?ptIvVAtaaxHh!h1}iy-Q|VL!;HfLChaab`v8^V9B=ZOr01?9Yr^D@tqkgbPqn$a@lV8`|LtSDzYoUZ*UVAuTKQRejOncQJ_9yb5X#TO?^hWgyCa5)^1pgjvf0 zQV2Vc5&!$Cwo^IBfg-?(b6N3pjzd1k&9IgGZ&cP{9HAcZ>rQyz?7KArRkII~-UjMz z=~qrEk&CA;svLw-H>#7lNRn-x3d}84=`S@F^FtJUv)K>#8J(*Sc5rk^FR^~hA;)h8 zZt)eZU69Mv$KTSnjC6`#Hr_$RsR0Z2@`s;WjP=v6)?Mh&Fy9H33{@I4dCPBC4T8Yt zgQ_c?#=++UcT3X8u7|N53gVYy$w(@Rq%n5g<9jUNe#xeg!Vm$)#O#KbTKj|-iQs~M zyM0^^9-D@$qXeb2Xfx+n%%#7j^{#2L)pa1aNX!mF0Y@4}rnTTl>n+@$K`^BzNF??o z^OLfJD!B~ilMmlwcV__mY9Rfa({^hhIy>a&U|yh#|DmhIqP@@!r>_IUk(eMR;d$GJ zT}dB$@UdY-d><_>=Fu%(A1w}FlTcF8vnAJ?%{rn1kltDPBH7Y%kvrLeL0g;yJcol$ zo$bx+K2G6D=!DO-Zf?}+a2U{H`>bT*>Bu%~QM&)^lU*nNXFCr73EfIJ89Py8K(vVTt85Q6d@1ze+u(Qzy~ zFk}+SBgfw&?dQnyJ|%x!AD=)+22L>bIXo=7JR3^IspvGXKIJgk!F-8{{_$~}_~FIl zRCd$q+ff0punE9?EW;cqo?wZ0aIADzwI(jc+UWQW6n;I)#}X0lBkS4<#nR)61qr@@Y7GM@sZ{ z{=U~|MWG!ahtE1YK{hpx1n$S(8+0t$5h#Zx2o)Y)cAoB4y8I*=j>RkKRLSyOIAluU z$SW(sHbxkUZCql8meGwve*}DUe8+6x-gBDd#7|p3i5shCD2ua~J@nE_7>zJb`~(5{ zf=(9M)4t!Zk^B*INAg7cN5{R|N(SsyCQFk7XkB8Q#k|iI`lqna>LbdMMivOr_W`|y zPk4)Tkz+bFTw*(*5QI27QB92HL>L=+-y-|L>4)@ljKMt+ft;q4^_muE4vYaLVHD*3 zT%`O?S)n>kC&CTULP0Rm=4NGNunw*cNC*F`B#wG?r(ypi+m#X8FU0W$J;SrO7C?<6aDA?${db%eUy`5W(Q{a9-; z3-EK2GpKVRD05N|>7Alv4G07*{v7Gz&`vqne5$;Z{zZ{5#>JC^--}uak3tID$tyf! zztU4@6ki3N?Y*=MVO=6z5vAU~U%d)pJ@Ka}Me@V# zm61l-?A)2>M~l)cdUPMQZYf>>4JzK=^}jo_d_gkOyWs9zTCX z6du{@J?f{$NGy~}J4XB8a{$}#{w4K$(O^N|4bfwVmqGtMisN^EbM&SJI7rC{4pP2G z&RZ#4DvoT)C-TE3^oRDph|MSon_rzD_(3ktNvQ*6E$hVjBJEdRD#^vIb{#VW# zKAQrH3`esJ!d?t*gCrlOuyZ=}J)gd=T3bGp-RE>+dq$~yh(nx*ab-QQ<*T@k6Q02naEL~hqdW@2(tSb~wqcaI0ZFX1 z%QRx+{!aKTd+Z)E3uqJQv3evSTaWtE)uZ(*K$|2q{LA%}*6eGJ0ZXc{)3~rlWW`iV z{#U=qs^^w$Q_`2;p80W{seK@HA_8F)h)vfl+N+1J@ z!QjOS`;wN!b)EfzqZuo00ep31u_XB{BFtgv3Q%dR$`-U-#T{TO2V@ud0@5lz@mtrf zFV_R`h@Zy95Kfn0uTGCG7KuI^rV#0e;A+^|19fx36L1xT+rW?`j(Pb=b{Bc{;u-R$ z)`FtEoZ+{W?*^g_d17SflKZF|A*d^Eg1Y39A-=K?N&v@~y<7}_m8F@9vjhx*5qk(% ztzsrZC;io|%jAoQe0xb4da&V&PptR{4J4XIcw+jCpc6T&O4WNmb9}-Aa}-LyU8W~| zG(oaAi(7OQdXRyx#09Y)GZq6JfP9dP8d5n?0b3EcEt4Xarw<@=bK+U zk3%eO?3^ZYk(Tqh-gPtcodMoeKr}1cGuD|4Wt7xK=(r|_H1NWTW^!BrXRY+V!_rea zZYZPXefZKDWQs8j#(C5#j((fhc0%IF)?-IS%Xv)x1v>hl381KkCXNtef>q(96=-6R z6%(qQPlD9$TgG5K=5VcRu&3^mZAhi1P=aEBZ+JVdv?qA5vK|-PwzoNJLhrEfqOiVf z6%!TcY6pYURV+U*AOOC?G}e8js2$8W{7mRrAWt_qvWhbVFKgguHv4J^k$@?)38fS| zxAGxv=1sdJe|nV2An$oeW94bz3yG)>tf#c=6o0pypLm9e3#F2=ME+eUG@F7pnfVv; z7-%iN%4rMBl_fp0l+y|`CVS;L@N41!7CFCjD$k%%t9(Mn7^&)S(ag_i4MNpT`%aT) zag}g8m{hcTW@AM94$dJ>)LM>Sn&hj0NyoL!T}BaMxg(~b1zs=6mc+atY;ko%0bD6- zq=ElLi8w3&LWaYF|)Z~Mkq=|Sz(Nd??yxCvE_aJn{f2&EsOK8rI_3ui?B7i zyyvbSk~59s*7)ocJtnMM_io>DPRkN8-eBqo_WN*7PQ;G4=J6Wws(+4;mJ#Xt^(z}s zEt;*VN3rFmLl7a`@Rq+kME2t2j8yD)pi_@Fb6*E;eU00@iADufTnY@_DkR)026!TV z9a(y|HVqL_+aN~aZptYZ-i>=Vrya@E(jL!py`)7H$&}IGUzO8gtB0!i+Ow5NYboq+ zG?VGhkCMBN5Up-ln;9>`r{U6BrMO9O6*lui#4MP&)KZ^pt5@^KA{aEDkk zU>jTlWE@+v*7pRzt=^4~LILUxT@^JUS)mFdh!+M8E>LP?2zQlZ|y<-a48=_;Xg zCUSHg(*hIFaO^Nf6MVS}l=|$WJ*y=BTBg44U+E;sv+5`V z3sPe2l96By$%pTcIBAI+zsw@7@+d4uvL{n*nEd*5xcFzZ>(iJbH1yFgMBHi6k0!|gzJ_#SkF46ErIfGokUaB*nWg4{&8dm-|^?q_zf%G$pY(X<+1m~RJ%^l&) z9o@FmTuhinbkJ3M&{>eI#95LErMnf4s?b&mTQ${Vof5A&NlND@-C#GmOy z!@#y0IYie6Z%B@L=Qog%W*lOjOzf}44pTJ2k20o;5(H^-S+7Rl5RsF339-7oV;u*| zGEGM~L+_5t{zUeDic<9vzIgOP{e<_EHZQBjp3^(#V;p9ZpGExEeb$x9gwAiOVA#^7 zSmGqZJuIwJNH0dMxgxpC8RdV8q-o=nS=4{=E(Jp6tb4Bx3Xfr4#;Hz4ha1@!!3SgW z12~bE%QEr!(@?%va;h!#KUC-#ATd}Oi&OQR7lleFJ{`c2GHLiPDdr;`zP1s}G*O8$hC)Ic6f4g0kNBZC#o}QK4 zBQv&ryH51aoL0+EmK~t01JDAHEk4UErfeB+3L>;TW2+>`xbk8&%iStT4&Ng_x%Ls( z%NxX{PV%vSNdd)#NgiD={BmSP{bFz)(_mEbHMKDI(o&1USF0hamS()aIBOp+^|1;m zlGFI*K}sOIren?|_J26Jr@`B?o1CCevpJjw!>C4w`dE*L$9vo>pYV#^qvSR@&w7Zi z>GtZ@%X2j6OvYL$GbUdUexx17C#rtkKqKEM0BW0$MKZM&)Z-PbU*<&I^c@$Gj_OqM zWT1b$RO#B)XbHy#Cl%dz>ra3Xo3Oug$}pL$m&m%yyY+Es9u@M3PcrU# zAu*5hEMbjZ7mU%2?Zzl^jm6Rj3(>8o!Q)ngZ_?Dxrzd=tzFa=zEg2RKMhn2s*`mrQ z{cFqdv)s~-IP~h7&!ml|@su%|_U)RKrTo0XBLhKT?pUI$R@Eewn)0wfk z^zCETz2dx6sMO=^G`>y67PUO1( zDh2W+tS_hooZ}upm6K(E4*gOz-cX~SFJ;S9f4f|B0~L=k8cQ|N;_jS{)3fW!Oe_`T zOC>F{cl30%n9mCQ3zAE5nSGQ ztQAC4kylL}j2#|F*M-kJ7m}tf<;IQn8+U-u6zw-O&x)RN+>?8E9JdUW0F!gPK~~M4 zO^)zsT4|B(8x^XbK-_dD719``RkHR^>(?jkXAm{asd@j0Rpcajo`Y~h{pr>b*?Z%S z11{n}w6czE2ZpV87zYrhkxI zY@yc)G~ugm^`LVX8=8{odx=z#s85qU=r$6!%FMq`7@qj45c0$z{K_EULv6`7NKCK2pk(8fBDGk)9z7bAQxyHq+3pWE#>V|P{X?bOYUkW-QQ=P7i1}Q z<<=R;wXyeX)~r^Je6R6%=m$9`V$hA;kU4}xN`2h9#Sw4wUOI6AruAYrd__s9jGW6$ zM32N?;VyXq=EU~qj*Jewd&YSNLie7HKLJ^N0H@^rLS!E-s_!S3$Ur@F;h)IA3Hr$M z>&5yk$?WVt3ic;7XpQ`6Ud0Y87=_%gY0m0$gW_pI;yt#79c0MmY_wmt$9aU%iGDelhYHXz~KmRecA=2h-(KePfG_zQ{)aCFJIquTHXvlNE z*o}qNKE70!1YL9<-)WB02_YC%xzJ8F5m}{TVNYoznB>N{yu*dXQF7#HZnRpUQ=Gd5c{ zv?puEx~v|ejzi|0!>aoL7v0kD%A-ggLMM%}B=L)XJqKOjHa~LcVs4SrUMO(NS3CRV zm>;dvL{r$nUkDzYeza18Bk=zVmUa^b(Ca(MnsZL^Eut+y5)5d&GQ74qbF^OWv0lzJ zhi%694;zrS=0?%rip+D)MM6n+^U~@`oKJ&i+-T8tx`Ux6{)9R4l>WwUft+w?`przqnH?QB2p#prNeB3#6ZZ16^E$dSbnuFqO-NykiMvL z?Jw3{8$29!X4Ifv$oq58FuAartj*nJZ%31u<5WA@KJm~i(Sc{Q$uWk}EXhXjD^W{p zR1ovJ&tYaq#gocRE7~lJ{BW}Pai|ugTplD&-W^m$t+aw33L~f9o8DY4W~Fk>eWo3% z`K!69T0S52meUv+$?#9kkP{o`-t=GO8uVrF14TQ%)y3a^azr{4OAFA!R-M#4?Qc00 z6HLEquhab+EiG*Cayly&SM) zN_Mt#rW~PLTEY$V7JrwtrMWQ?`~xZ2zV};1t0V@RXxS<-9D?NYeT|jhD2~)YI?L2M zNYd@YnXu9pk2LIJ7NMbc`+y0@sVj`o%1ga)l(T;#-dk_=8!n#ePqw^)es0!W|kxG~3fTsP&2npTWJYwDC6N$PAkD-Pb*MAKOK0r$)1k$|%k zg48cs_DX*YDlL@sTRGQPb~YW=WVIDLCB6|ITxuri%snMQUI_hle0itMkxen-+?Iah z*s+#RdtP^@wB(~nsyp`*ItHyd_?2$!k+becsx?PBjp}vioI}AEwk3uCdzSJyB&njk zBt5q%dR)tw`ddB!H!HBG<$8CTk0i~@kvW2t4PVu3x3n@ZFFGx}<Mgf| zp^g@zBT#8b09ydlQ;aCS-%c$sXK5ed%zj6*c=^kwoMEOol&C{9E$C}1FS6kc^fy*7 zpIbL#J9nWE4@49RcYTsv2LH))mWK3;3D$RUcy$$5`$^RLSsqVM^_hL~Y$-nSl{f(g zJ;E=;Bqh~v_tQ*LoO?ww1}3qjo}L|pG#&x6nbr3Z=<&sdi8a~mg&=uXCMkb++>2NQrKyc&G$cc*9AERC^^PEL+{KA= z{NVje=-H^u%G;0r=eZ8iS6T%Nzg1=Cs&m%W#}DqfL?Iu^&n^VF9j${D>sk19t<~>oTJe0Wwqk7ZeJC)6IE`y*DO076hzty44vqmn(7yLQQ;sKLKMf`! zN<|V(s(|U?`I4P&p#MQu3FSS*d{YypM`k^>Fg(S8aa@eCtpm@jyLWa|lKUbTk5bh? zt0)l(b#}qbm(i8h)}lLo{2+vlxmI)Vb-8nWWcHqeqgAtD!S-WomGs}X&5;C6GCfSX zV=s-4Aj3M-lZ`7n;LC2FKM3_N7;JO%U7zU7;FN{5^tG~W$ucp3Yco^u2S2j_jq#uX zM~r+K$bSzByA!$+C889Gz4z^4K>s6`-CLz5szpX-cP|Oc&$;)1Gx#Ry*3bQA7z>9G z%;@}G~jm`ou#eBsejm$K8PwA@L7c7X(}ROdyPW~D?G~5kDYSXokPyf zLpF{mCMA^b{>b#&i|Qu*=ttjYrMQ%)8FEkloAc-#ts$bgm-Ifft@$r2EhEcf>xG1; zti~b6(H`1S^GG;E>;?^FxSDmQXY#F519B7VEFY!vi@ZCpa?}P_c0*2>cxLoEOT898 z@*aeq=UOs&8kiJ!z5kkafxj_}z2TD$D+;*`v3VMFva}_9pmuv8)Ze20%F3)@-LLcN zkXrVRI5+_J>GMJ3>|h8vs$s`k=4i{sv|Z(k4DWW;p_}>~G;fkCpKL$6#bDfFjt8&7 zILwKTdEgQh@8`iP;u#bIOFP&2>sZ`0Z~#_n1upbG=$9kd-fYxfNbN}T>pAKamRB0L zJ?DE}=k4tqS@ePhML(4PD=1jQw95AJ)=Jl}BX(ktUien;F@E5qk>}|2Mps+Mpn$^qE(C?9_hBgtXNa_IF!yKZJ%%2|f~3&KIcKb^$}-r``*&vz@E@(;>& zC;Q|hBCKoBVqx7HG*4Od2#h->nny!_L+^8favUbxf^e`jN*&op5B!8}QDGxd?s|d# zmxV`97oMvl9-ZW>=j89%K(|7=agpZh|E9-=X*iJiAjtGT~ID@ zLw44xLc-slRm%j;unDBhw_#kAmi%XeteSWrq=sqX&4;KI<9ZM6x_w%uawGL>J_>W< zc~0rc9@<^=h~>~~6IliWJ!pn#E3jZ|Tj=1jlOWlw5bvK?#TX~kYJg-&4$rqEqJ5z_nxiP z5g68|m~X?aKJ&Dn1S!~XOCw4|jVwcR4+9O4(j^&$yT2{7&te`m9>ep_V2f9aUdcPi z`~w8iqz@MvmxhrGdZew@ewfvM2eppBc@?|V+@x=xx$icq@^J5-x*M6wPT zvw#I?W%Vp<3QFM%o-HAs(xNxkC(Lwh$q;gM>NyXhIZP`Cdy}_nnbShJ4TP!$nnTEybKItO=(~v8%jiTja*_5HJ$$v&g@xNw`gXj5 zR5WtKN26m}%tMPi^ycsx49zZhB6q#OD!RkU~oEpCQ#pQSg^L`>`Zqz95|rGF9`hK$}qoBSBm~;iq^HBr#6(Z$Nll2}%9g zZCaDxX$*^19Sg-EJ-tIxRw{5m0SvqlQl7_`Qnxzkr(FkN=;JY1y|texaFq9J*i*mD z8l=}j+9joqxQy3Bvc9Dk==xeK>ya=j>zIbtiaElAMAUkbrs(>*FJI!fhz-T)Wpl`- zlxWOrq+`QDKUwl84F09)s5*OK!dOaBPQlYkO-I{WLRfDXp9CY1hYb4F5%)(PJ+oJl zH3i)i>bz)=O2h6WL~cZnI9B6M$qBvne>m@9VU!WI9t&E%HAyNNdh;9weG1GOMaHj) zIdgek#T*=Xb$IG|?Ljnnk(L^=fmy#kFt5Ls(2L5&ESP%0n0nwhnaR|vwC95yzl3}i zH)`4vV%l=?$^*mUt9X(X9m;wqZ`~J^cHgQf30sd=G)fregoJ$3xdMSAP6hJ0lxhN2 z!}?8ey0%ipXZOpTiq1YJJUgKO4F8DPO_I| zcrX1|Bsf^A!+xYZ_4S{0?JF$Gj3NzPdyG~N5trjjDuJU#K0-(Fmb>!90Aff10qsnl zSGxIhmSt;(ql{NF-;CGqxT@Z+wD@R4!MDVZ(Vli_)6>Oc%Z{$ROIfgMk0cZ%bq#+K zIlBnmW25NCL3~P8AcTlltty0cd3!-BfaV{B8>Lil zc?XvOqe6_!Br_^DatFLsk&*L>G)1z^v`aL*F}0>ApC(9{??S`}$Nm~)j@z8`fm9`2 zGkV$iR*m|Dc1A7*nbjcBf0(eFd-ye0nc7*%AAt#p0GQUKb6{U;!T%PJ41dMv32+hQ zx_5ei3$_kt@IMw%! zZFe`~<=~$b6Jx5qM4CEcD%LI>td$ts@SlT=c=G}nHQ>BCp(8mgZG|?=f zSvCzHgI@NL?LSkXB2=aV==z>TkyYcDM<2tSCeImTg@BPNOe6j1%k5QIs0i7p5=o`~ z8F*O%hEUQ|s13u^1>n{vD(UQj__~;cCta|M4{qAeNmuN;pyShD$v^EBGSePixzp}J zMM2Bc{i<|BSH`h=L$FnVP}@iR*JKl$=s@6l!Wt<2;GVLwwO~Gtc0!=LD~cr)CJjYg zaRHCI1-<3&y!@H4o8@o3sPM>oA~l!3tX$Etp5h$cpf5O{=xWD4%cmqPq8wtqHkVu- z%YTU;qAa+akn+J#PS8Z=@`F^}j;`X$cw|pVlrm5cTe4l6;LufMaSJvQIg(H%f|X2r z;>z{dDTzFVIVgViw&_XW7qoIcQ5l0h%cmhMq8aK+JL=lVHH#^=Wg8Yr2^Xi26-TH% z5U#II=uEAQf9(yaMsz5t3LPh?>+aM!kPqcO7y=1Pe`)xc9I?J6KN6%2LcFLfl!4|% zdB&7*S^8MnG_^^nM-mP-EKo8v&^S1-3n|p!`YH)kYb-%^ee_4v8wvSsqT$n#a)rSj zdHO;5r%Y~<@Sk{9&D+2BnH33{%zvNb4a%qWTdhwbl}Lv?i4Hprt|1V>ea|Mg8eUJ` z7{|fq^4@f{-4wv`*4cQ0I3JCvS)-a-$m|vHj)L*J-wsV^D}}HUk|-b z@|47_6CG$k1e(P5K_Fvc2RV;Gf=1GdPZ9)%M_JNdtP5CjB#^Mvtq58sj6+=_N`?J! zGL5Olz4*l6vmKo%RC?WI<&O3j<|dK14`0N}vX43C_rztq!pS$LR*phe4v~6G3@pR{ z$4c_QA};}D@V_i%wa>@wz1i|yDdBoqKqxv&Lcw9R)Pf?+;34F2s$fa62s31!9V1G5uFNyk#T^0_*3EsL`}vsy&(X5-iD&`oUZ0O>M#4~u z)~~|c&(<6tK1YxyyiA|T<=l07Keg6BRS16xnU^6Ff?vlK5)BqIrLwc6g2{^GIAzj8 z9@r>|REwi&Wlc!lO{4Y@P9fH)X~4HWZaSD`28BfZi1m2;?%Rw1Ex@+&ep))D*vYHe z!<(X-7aLBakTnOz!dD_~rDT7)0>FBA?N<;FyX>xrX$;dWJky!l`;%F*F7&G-xv|t| z`TV(XbzLDcGRFj)&fUZi+5gI_hpTIE^>MbMN^9Tb7Db-ZB}OOpLm@|&k~y@m?%g0| zuF=Yt%sjk*pR9CX`+cT*si>XyEMHKwNDv_ZA7Bg&s~B1(Px7c{ErU5VfT!xScwt*4 zTA`$!W^(BF9_@H!Xj6Ons$Hn5^ySl43hmmXXP7N3)wQc%+jI@Aeo*}x&eKj~*G_bPkPPHKy+O66gm7yR;(K0>K;~UEi~A^s^R&B>FpPH!fAG!-a_%>`58G z{`(eF8{1M$_1oB=xSu@$C;K2$!s_=h zq5u8`Q6T_I51U2?hZ-s+TTV*C4CRt-LpX9bM&GOtvfAkL3fBi!wDs4iNoCu2Nr_^Pgu3FJ5A zWPl@S1VDTX3#*7_4RLG%TN7WL7(gB|7M?MmBYLltXWt4Sy$5x)B{*D8354Hr0bCwRTt8fAk!^7YfI^VQBS(kBz6KI@X zveKUyXL(!-6L&HsM+R-hkUW7{K*&Zd$B9`qVQE+R5t399KsQuaq~%z%B9-^-Qs&`o z;UPx-HiAd}fWI$bxz(EYAyxs{$7gj5rP45x?>A9j60xe!x%<~83;3>YnAEbLf5z35 zRlu?5ROH$Va7_?*?QRBYtALTaR;l5UW9idLquE3AcW^wGElsE0@YBb9isaluAOY^1 zW~;nl`@%CH0r7%{op9HPxjN+?_S7xG*jK;~Kz+(eoPinty?7dd64?eW(f^ep~$b02nS9N>da9gpeI+DFM(l%N|{>sF% zsf`?~`jPPcSM|akD{LQO!<{TOj;KkUo0}entU-pE+N#=rCXANmRe8j@DI%4LP!>@4 zZzD-1#!8qh+Jur{_A;!m8cC@%N+Xe(=&v#(inkd!sI~-U(Bs~AvY%M$p2!7y(PpC> zXD}r6No6_{C>?l7v)@ZQwUp>8Vd71x;sAMi^@?GJ^+mzbjB00$ngXPMX7jEf5BIM! zg$Wc$aEP~giyc*~jD=~jQmt#ij;M$QASZD=-4nLuBra&!(-}uJ0XSkE)5%VhAVb^^ zwT&mgjrE8nWFTK!iJ}trw2J~eEgzoh6>%IR$pAuo9QfkCbOS*#-y+yDL|=*6yWL~2 zDU}&mH8ABC9#q89QKubBp&JT-^El*hfBo{~uBmlBt4mhW;P8v=fq**39MO(C=THjQ zP|J^XW3Tf+py1OrQPLUf_Bubb+vk*4YX1zzAThxssYE7W_Dh(+?K*Q2BAxwa^dR5fWs1Ol5tX3{?}BPqi{0q6Dbm zu1|)w=597QUV|{@p*iI!2-_H>sOGvK!L@O8!t47s*mr5zlKTBji9f*B;{K`S{otx@ z5d51+x%qul&O|sIXohCe$!fh@;2w6g&sgZr$OeAh#pAn3is1pxtOx&WgdQdX=7=6t zp9^MdaZ|SW$^rgtV69P;B6`mV+)%Ba4_ExXAa$c92Q%#im(@!9!;6n7N<+KTZu&W$ z)mu(u&&8}Akz((rYnNo{G3}#IPlCq{E848tvKO+|NCRUT$^nlHAzh--{?+1JqhJrWFnqC2~ZXjk$Y)>9+64 zwzZg*F3ik`P0SwW!)OsK@8-Mm#cL4Pt0ta6r7og$;U#DP)bM_2)hGm> zP_)_d<*|E9Dx#yp^UW0H?M0h_EfKP)R)Snj*jY0DBijO~ELEbvM8E zDR#KQ-j|l+o1JbBAZu_AyEI1++6qa}rUMWKdYF<&q^A(@T{oOQu8r`yA+o{#FH4Gb zc$nKmU*f05Eq9AYpWB_n?)86g?t<5A@5!Dp#gO*=yqWp#J6lTREax2zut_MoR`7J@ zyQUnya5WjQ1|MT|7O4VL5JYYZC1r5^omj3YY5nrpvnBN!kUv8c{B8ePN@yihRwv+h zz9Dg-5epJ88`2P~Et|(qIx`Z&O`^(^1XBLtGUr-%v>jaN9t5<|!<+ecXh#|awQUn{=+C-sj{BB(bP40im$r8B*iuko#(Y4p$( z+3^N?U7hEi<|^SQuOjB6j)(7TfssEG<}Ma=k>KX`x_!XBGlw(Tec7flt8y{>lh?wDGJ+|$eX+k>%Y^ra zvJ+)|gjWipAFGcLW$X8H^aHKy+lS9S=(qM7BZuaTfcueR>HQph`@P7_vpO7jsCgF4 zxX&W!S6*^deL#|0jbJsHrS7qgoWId;o~D=eV7d$EQ|m z`m4NmLUZWBe^~$cFakfO;4xBIBz!!w6-b2poY%h7#wUz*h=Z}d5GLxfmZ(3%@ z!LmB`9w|Bm@3U@+{2}Jy-*Mh%Q37IQd6qvY-GgMD+n%k&0j5u^f1f?Re}47HMmIT| z!k0VnH_eB`t3HFrB1UhulNp}g*mw@EW?AY&Im>zkW({JvB| z%jjD9&U!^NLjnpKPdJDDA*94R9vG2Oggmv|o-F^-1%V&<&F|CHQSi>=c=T ztJV?MA8o$6tBiTESTOwcpRYuK^ZwjP6T1!gLwo$ipHz!rzUDlYu)|qA37#>OY~^kf zIqS(WZTZsfd)cJqdWU*zQ}gKp}{P;q6dpvdPSh&FPd5pNNxS&TFf6Nj;qP@3@)CqrO&xi5HDLK%#f~xeS$hy z$5HyqrK3O~a82mY4Bds2wPVU1=|fC@B`tP#V|u|*MLsI=y}u3+*?E|*9doPOn32yb zky_1vFSOX7H8FplFM^9RF-u*7*=(^Lhj!-ViqrpzEslY#q+Uqtz*1`jnpc8t zJbtoJu?T2iQ-_60+2$`n-Xe(q4-1mz$x0one>w1~WG|_|+r5UpZub&(btLdy$a2d1 zXRh}zcd_Y9)QOyJ3Wh<4*X5myQGGWF`i4FJFgO)W=Ucg!EAke9!f;;k(gEZ6JKC`p zYU7EvmC+|4wi@C-yS+ec|sp^XO_A*A9;$Lcp4phHpIMs`{a7_#m#xo%D)UcD!mAizv7M0 zkfqNy-2dU)EQ}h9B-J}kW*hkv{UZ-SP-Pk)fNb*F&;BXnpXP@M1|DMs=%0!8O_h7q zax(%?0lCHlu^PLw>&XEJ%tW~_7QQKE1xbRP`rgPO>p$`Y;Cw8JC<{35 zQ>kH4MaJOo%0Nl5wR_?=sB!Mf}A!g_& zePKUSO{d^_ZYL^>LOac1vtIwCSHwz8`MM%LWZa0ynk!1`?VtA=UA1@I)faGBalW7J!yXKeHKIkyvh ztsyyO%R+FP@TypdLi4s@?@>l$pK6u0#9OEXf#-6-**U=#%+8=GlOnk=(@O%<&-T$< z;^*>SQ;v8}iWhj9p4F+-T3qJ@E}y?Nde&y|{yRpMHyQfSJ-er2aj9YJ6M=}e{wN2+>hy~E4UL5Dei7ua| zF~EEs;$LG4_9GtaGn18+5(sCFXey+1p_;pI7N#3n1@-vQyIKRJ}_WxdGPN(T%` zD(lM&Tru*iteiISRcY#*^mcJb)T0h^lUJxh)9L2(Lwx_T`2O(<`0P-ZeDMj{atPl# z58X;Il=m-~|74y;G4XsIn;z+32&c%W4D{Yy^I(zGeaqD0th#$o|F6?uVjAtl(I@4S zTHK|p){!TrWHwU8jU{w>4|&)Rhs1&|0(Td8DdX~1OLW`*%?JKW50U_o&0PC*ij0^V zxl_GJR5PN;+3HeX>jo;JTOJT{;1GUr9(a)8{C?2u%Vq5Ab`KM+aOqAD%Vi;>tfk|x z;voyggw{m#AF|>QDRh2Y1uRBQdStXIN#BP635! zN7`P^$B_yc-o$cgYzsqazULJZKQZ5Ua~C5uH@`oY(@fAmK|0;f#yy^0)6C-M@@r`x z^WG%;ux=DVgVL`{Rpz0z@73-hD4+j1(+jOJfKAtBFM9a|?7=RG<&KzMFQpO~^(cR0 z@^n;O=rr^L;izc#(&RLs^cUtgTOzikK@UHgPl1y==ygk?mT0pcEADO%_WE`U^LjV* z`g;)4DqMl+zX?nuKgl=iMgFuzxT2&-N!-x=X{!TTvecUfLJbgVe-bnqi_wG?O}PM{ zkb8O%Zqa2Ep3!U(?&g)1gVolob}98_$qL|1O-6f=Mq@4%Cr30!hfwW7ER@6RpqEP% z>l$h|doT>&R18EAyz^gIX*hw8!8q6zuTv!jfe(=$%VdUfGPVX0=%E>O6goHk0smPl zJ>&LW0aFMeONb9+$X~**2{TqM=(?ATAJRIN7tMS}p-q+nS2!2JK>=Db5rGyre*Q18 z;jOp_hMhR2Kh@A-%6QThSM`|uo=YEA13UXm3peFfci#)Gz?4TroP>)yKNG7bhWfBz zm*csHcQRu07LX=%%Klf9cpAQ}m=L-#67tXR>NijEFbj>^C7&AB`W>AsyUCk~7tbVg z9ob=AzNuVuAzY!5pgKcaSPF|xl5CQKZB#mchkWa`Lzm{UIwP{2u5d?<<&qz;e#6LkHAuL~p<4DX~Ct0Vi^Ai{cN#tJY2 zOND{w&GX#NZOuzjgexGTY4~%lr3;gG1#?3_|942aHNXG^MRl%{c<;GX4(A)XBN~+e zs%8;qx(Bs?nijX%ImbM|-a&=bSt?uQhIY}zCq2lQ7WEhJBC_a%fV!@eBOXg7*YW5G z7K*n6mvQNCdupM5;350)B9-RXn$GuG+mP5i8BB9t4()6RHaNn=LeORPJe;6g7=hps zcR}+;R>M*iazRM0fA*L%Bx+!;Q&NBFP|F&DjJQRc0nC5Uyz-~ou3%h>SH-aEt3eP~ zbZO_zkvfLEJwiJFmhJvT)maA8LWurfmBo~xj}x&HNv%f)YI1X5=8RVF0Eoy2aqLeHf^{C<$_Bk*9@_jTCaoo42U^|-+PhcQ14vw z?RcW?c+UJ>((BTnV{zcB`{87YwNE_!xzwXx!5M&lK2fL&PVxG+r7J@UoW#HuJ!Z_5 zs(6jAQx$#ia!S>=0oFr(h$2x5Hmgb;QVkHIMSqM%Kc0aq=Agi$iPQ z^-kX+Kwh)fanj%zVRCd>5n9-i=#R@qeSPE zF2I-Jy3kGVI2M3%R9Eh-FQ5D7Q+mmXxqnh!9%~qmXnYQ-w(L@Ac()zWmrJP$LTXq3 zCYnkfk$Yx}4|i?6AQq%vd38|!ZWOEM1O>ZPUrx!L9=45EC8xk#GQ6`f2{9;ry!?5H zGMsW1FaoJGxC^8F$5Prs87in^)e36^tl?o9Wx6+*=q~j5tGVcOe*Jh=U7u1$9*JLtO^(`D>~rH@N5t@zeXgLlbD5BgF5#*H!A=eLyj2??)#{heBizURj>;;c&cDE<<*)1wxYD2pkJ0^c2&(ZKz6Ff*4kfpp^i9z=9SHwH;;39R+1r%2kxk68M!t(wNL z5>Bd{)^w}2%`$sArm?JO<#cL}DA3|6Vct8G+RsH7YloBHcNHcsz-h)KPyf;3}8_F9K(N;bkBRL3j<53Ab2@?uA&bz&jD;!=8Vq~mfYw@Ngb(>FPO0~&XI{^fM1oZGkB$V_2$M>o2!J`y09 z4|o;yeOeSxQ_R2Z^u$UDkcI01(Dc;-Q9a+=AhCcn3(``OBH+>?U9vQYN+Yre$Pxle z3eqX1uyjd>64D^jNJ~g}NOvRe@cI7UKkw|_nYlA(>Uo}X2JA&3!M(j#;occxkf-Bh z)EAdd^j$1Ao3qU7qxPsOUyt9sFUqi(qvPO>!hvX;EI6>+-H5 z_mWf^CT|`PV8XediS;+JJlcQD%Go=qJ{ZE@%3j76#G?wygvhVyIdIGH2softdkG@FlS-sty4bE<86_x~zYlJXv$Y)PP)A3Sp7 z8Wf@;Rti)WomYH9$+%$lRO3KT0sL!qu{O==BRfM`l#iyOz-=v|0MK=oJ$JMS534sW z{5!dm#-#*~zi<57bYsGAVQC8K6-JSUqAo=fRmsI4RuS899n z@E5pBa8c?9j6)E~DcwafZ>=XW)l!9vBm*(h0a$4ZT>ByHu~|%c7R10+0~07<$knm& z8__hSI^5~3&LQD~4WOK*sK!u_UXBku864p`E)bOm=X2B>&A-Z` z{yC@3&5WsGuv@4V;khC6bK-31MPmUsLznY1;gF`}p)O?ju}Jsay|RNf723s9_r*NI zWjm{UU2}j|8b&2t#rw5ocv>}S%|A)Q!((*~Nph4?QB@I*TPuC;74MJ9`2mXsTXrM}B)y!y$rAD4b{+iBb`XWHMH9&@q$pL^ z!4x-e39oOsnJ<24HOmvd2NXC)cfZJc!$P%#i#cK08h!z5c;r86Ab#+ch$MAKvgkJG z;TvrHg$NNmbd>weFUTL=7Etm<=z=UPG`H1-Sg82Z0c#X)XJW^X3~=5SEPcn+v?Z(D zEH=-%r(W;X@4ht}V?n-DLeWP9# z!PW?i)5i2&!^22gRYM#An)NWDnhocgS@rke!k@fy{{g$;4;Q_527_}G8O?#2(y-9U zktxCLNL4={1lBbb?sf07i^Ke#BBR((PnRa}?3vw;M<5nBLLFjJ6#z z>3}jRnHotdJEHz(BZz2NK6$?nuqMdLrBy)bURZBz#;VUF!drV&aTvH z?wg|Dy|K&R+Dh4HRJmvUIcLNTFZDv6D`6_`r)H0_U<(29db`_|OvlTUV2`Ey?NkeZ z5RdhA$dLBrdPg#e@m68qUV2DMFrl~IH$u@ucWAINa7fBiSe(B0*lNrxa6gr3sVIiq zUJ9)$Dt|GLe(=KF3(kWuV}b+2VwCW8fPp*!hvK9kWm) zU2!#ku^W4FFcqyLa}KPk@xBoG&`ZftiZTBRTU;q=%HlN~m#u>j>0cRB)W7UVQP$o9 z1IXjJY5xjO_PJjLT~d6U{fX1CxRjGkJsI8QSuq>7#V|&`Gu0ht$$O$Dya{1r5_BcO ze19uHs=pkd@6x;r5|nurMtuEchCSBlxW+vS8~RMNF8%#w$UTIMSHc@vj{23>dEx75 zRa{K;BSP9di%`3O*`EPv0FgVor~2h>2wL*d0f>gyEp5B^K0ftD6x+8bJ2$9G`pjin z!h!JKpv>-l>+J9dwl}Z!>&|&R_=U88$KWR~zVB~Q>2i^2oPk?hM-wmEz#5@hBIM;* z8wY^D&UO;qu~AK(ggb=de1b=O%_qM0dI;upBAL{qx=! zu_A9aee`dAm^@q3{$Q-5Js=Ih`X`!AW|NyH#hc&aM(MR6B5_@PreSJZ)0mvr#MV>* z)WjfxTwU7X^;{M@e%fp#jm)NL^rq`yPFc~>n^o!hq}kelz8dRnqd)uaxxZ!!@+r8d z^JJk}phS(?gOyogiHS61_FqEq-$#M#kpauTWKyuutmL|Q7cL_tnED*KroeLdb!Sk%$Z zcrp;NxX4Kwkw!V*+m2Sl^kijT1N=OOr*+Sp+*uw|_(>V=)=EhdwZ)x3Q_?oiAnuf8 z?X;!U{H2IFkEKr-41%kpyW>k9*4#&L3cNR)Nr;Nk(Z$w{MNj$(W#N-uA{1^x3F5ga z_%BIF^hR5PfFS}=A8|djM1)-D_hKiyuZ^LXfyy*&8q|!&?UL!#;c;p%ZV3a=%UzpF zlPC8=TGO%ctF?f}K=^uk|L{1uv{}2<`3jnkxF!!$41pYEfD8Ewiz>UNT0Krm z#zh#t&@>+?Yutn!kme2mYMvO8SWWnFrX=@BocIprzF$$|qx57it&`x!tWAjA_!@Pmu;dkINLBDZzeC2$yUVnQerjJ58Y zGU%W6S;6+lk_TK3iJ=*8LNZ8mnF088izW-C4ohg!fLBKEvD*pudiN$z!iNJTxkAgJ zgWlyn%z4#rdeg9;+dg#L$T*nKcoLP#5+Zk08nnKm#wG9wHw$4@WT#CqRA0D$zp}D6 z7?K6~AkK_z{5e|Q^kk9{GF^l7slPxnW z`}=m`%lnmoYu`g0f+e&zd&SPb%-6?67p5&pz(Q00@=AUgbQ3yzWZL%8ff^i&eUoc- z9k@tuE!v?OgjgHL!5q=B^Wfqn@hfvx11;1Ru5scKxNI&k<&);=&E#Hl;-M~t6}W6n z)a{Q)O|R*_l-oz9h3$wmqaY1L&tkRLZ8$?V@1fF z>`_$rRT#t6lr8_u!H}jK7T4vMBF`DxSVZQ|L*Wjl18Fzn%#eov|Jc8*;dket6nD7< zguhq4YBCAr#3O<1eBl9s@6p|xW`VK8goRO_2#fIyOm`mXXuCO|)V}$^1f5Yj{90z` zW)dc3yOEBP0M3Feq>c*E4OWY_E$27zW&_gMQ6|Z*ES+e4Jmj^}DdDLnmwsbRbXXK% zDE3p#sZ)B;Nfd&Cjh_}8c;+QX;w1kzK~w(whW`5wjA0tM^zBQ=k)4L%A`=QeUj7E% zFJE$RBKr){ef1yu47WAf;$c<4#zh-HJvb?yKl;c1!9Sr`QN}vOq~n_fE@cWMPE?uaB$N`#!Pqs-oPwFq_3V%nd~-t?<4cK0a>O$lKI?! z=k77>j1D$@8UocMwDYKz>)tRX>Nlk6hs8PYKd5ow(gJg>&p<{RfZWe#d%wtlk7C#( zHu3e?Z`*L=^+8hHNG{It%p-o=UP zf0yetS+cU7iemW*f5%gw?Vr3Ajn0QC1b^};m@grmpQzr!kUVeu^NuI9Att)WU%VQ$ zB+k_AQ%W#Q=JJ}}0?qUR)ndsW7+3GpPj+r4iHyfH1kJbQyC6aNHJ?f*mMPRafRZJSinQIb++E>+-gb}-iDf)Kr%oVYsslox!8#WFSN z9>elRo?s0!a1mq^5qu`IzZd%h+UUyj=yn;Tr~mM)l@4F0@#NXVSrrxH#C9;zo-i8`f_)cNO>OH}q`px8KhYlDvSgWU%h2p8##;fsI-&)EBU@>=>RTlObQ~DYoy7Hj@s}C3btmhA<_|w4^ zdczja=;E^WuDvvLgvIpkfkuUqE*EOo-o}fkXdm6}@O@_G$iSGgjTda-rx3JQ%Dz!+!IK7Oj=b)$zxByfb3HG;tR52( z+i-JX^kml?N?}TpJDG@DiO!wMG(P(HLZ_55E1rc`cntY^Y@n$sMP1rEgjHan*zrA& z^ZSz$2_6xPcX3)Q-fpij46HEvEJa&QfU=cljgkZ<64Ug_T?R(e|J4zl+HGI_N9L+R zNahQyfBi*2?(F@&n_3|ogpK;}pC6xAF6|LmyCi~Wr~Z+csS?qanCPS@&L6B6+s|}o zU&Ob5i9N2TgM}1L3zj%qk%|?4obHxY-1m1|f*7nq`Ye|TV~1<|-`VPI#&wXF{#~4_ z_KP^iH?c{je?+MkB2ZAJWRfnbhVqZ&AyT+)ECW$;C#;1R!OnpW&v2fv{3)hxt#6|9 zvMe~{?AWbuF+{&o^Nupy4`O9riEx*P(GXcqsr^n!ec63&p8H}mVgV%ek2UsFjxxrv zknJk5l)_n(x*c%G9x0Q~$c+4Z%?d6BAln5wsih|La7D3@?JK@6$>wQ{z00Z}>zmd%*H^?R5HvBaa zNcqCO{iUl-JEz6(VxYezML-wq`1&oev?CU0s1@O3)*+5c0C*oRaOn>i{xQRbEwEEj zK_kc>=_W?w0^6D1Pm_zLJN zgJ7H=)?!|cqeW*M=tgP;fQQ8nVMPzRgc3(+mdK`;&$bP@Nso-*gegkQM!HTXx`H?~!nJwX*2=|aYS0tk-cW-%EjNkK^k8W`+ z(}`Y!aWNHDO5PI%pB^sEbah5{D}x^SoJD?}V4+8rqY7Ot@O;z}!t|1g=;PCnmRjv- zI^F1#xA7@Pfdy*;0;E;KoiHNEeZH;fuBzx^wtx%7rMF3%=w`^Arf17GTq`q56cgDz zaEPxA(8!g^&m$&xDj#xZXGRS=WcRp^ka_1eo$~q@{$$(@l3IMA=}I+(Az`7LT`I@4 z8zf^7yfZ?B)AF`Fx>r8NayQVC)C!QiVP|aN$a@_Y+16t9mZ?`MNtH05+>eL;z`ic< zeC&P1MwGls&6~UqM;!TC^(u!~qjE5sn}2=_T-V*B$tdyd-xnt8-*dPGMn{HK|H*OmujBaDl;-KB=T@$ws`H3?rt{P_l3`xz|#D z&Gq!aK7P3)J_j9v`=N2UAeC1UJ{y@hotOyv30Jn@D9<_f`x82;S^+6{38~OgL+@^| z)2(tG${`YA=R$IDEfl9gdwg;&iFcLstx7sWXdXF-tX%7Ez@zrUzBVK;FLcBPTUofc zE*Uk9ptnZCY8vPqYXuzNu(#6WQs{avg*63SsBR-31_Fb!v%i77zFzzGo-Idl@0K5% ze&Nn(pdrYpXb}abV3rUxDpmiSTWAOc{UiqVdw?J5_ zXC{#TMnWOUZs6j3z{& zFdj(g26KE|6jhdURq6@?Ne1q-CXezNaa?XIu*zihIK|wbZw-!P0cX_9vnLBMmHLjH zd4b+tAImq>l+@8~rEE$Q=H^q!fYkH|(Eb z^yqQ-Y*+U0Ptxy^^no}|qBsO&8TsAa!D;)?GOU@1@Moy;tB}h58OL$2vS}sn2L?n1 zq`;z>q5@bDW;h6zke~9*th$D*&2e_@tO(n7yOFI8ZPdC-m)H{CB8t;2zVKNoyX2oT z1DCO90ujNJ)vSm=W!*09ud;v2w~$v_tqCK0v zHy9J0>WJ+q3GM%0Zp@q9B&V3pJ{979-85m&ZW3{Prr)6y7`7;N@)GfI%9_1(LYv9( zocbhNYY6N$V;<1o&ib3ZwYtA1K7oG*g{`iYdYc39yW*&ka$O$1qc{2M9r^iS2U7L% zl2hj$+j8tu#{L7veY+ncaG97aO;$w_cEvtROWX~!3AFvT&E$~EP^7B1-8aSVPlm4! z@Rqc5z=yVX$u6md$%Q=(mZ$Ng zN_R%4%1~ZR7F}Exm{T^$g0?!tpx#NVtntRR)U4L?1b=(K{mxba-w+;?$6%@h9U1Fo z=FBa#aInAlNVh3HS*;!MI*Jv7XpejnN!RB_%|h=}tG)F=y~K`Egn%qTyzuKIFqBfH zM$tP6?hk_Y?_Sv-Iod;^QrJ1a(;q6eM_MH3u0*hgIA^aG+mUu@D>`PQSQ|ipkx#}* z&m$2d&5Z4lQ2`@IXgVQ^GFa-pD!n&3>m51k6x^|0;a>Zj+C4F>%r`gm9CBjhr&{C^ zldf7&GJ-pKW4IKVRu(vw^HGB%ckMp1$SKS96CrH^!q`%}HL{ro^JFtnfQ_~ZQTf+c zIntBumrm!Ot{I}TNIX0;rHBV*i51>+enqBwIaXvfZflC;`QgaMWnkus0-Gbv+YRyM zY_oxw=*_fxZ@j1f=IP(AUX1;hk|MD6hTY^Hs#-N=a)DlEL>)`AB3F%2azE{mgxXO| z0e>^j9xsopK8pwQCV>{PH^F38gDUlo>UJE>%(xT;XlQ0U|*H_I#oE zGKVqWzAHOR!4=X^Modv`n@X}tn*M^{Vq~<%0@&_t*>oKeJzzT*Hlh|50lwh=pmVx!8zauEsDQb#s@tRmyNv_b?1AKFysp~`+Y_o#~Y59CB?_Dy@wis z|B&qyFO|hF3y)7x8l4N)I3a3=;SDvbjPxxB@|C5y268 z29M10ZzvmKcZVv2nr;G+Cn;vIV2l{5f=~RN^4`FSJZw1N>xyXEe0N?;+>3mHj@ZG_ z0RNvs)`-Q&9lz&Q6%=jWWYXX(zH1;qzRXK4nDFuEa0}u{AN&{q8?}W#Iu|r@LKqFh zXYKL1uJkpcp)BWu3Qh=xVSr>X&tdtoMByDp#!SC>Jly00ISBlwEE~(p>_QyG*2m@} z9atqC&B=cNTo3zW0e|!0D4{XO~xlzuIvs|I)Vm~nuU4gpikB>{hj@Y zMH6PE1Xd&p?JC-OSMy*yMp-t3l{t_ih`MjNgrs4wvajK1(1Y}lNFs}A8jDI~>qNw2 zx})9ucdPhf2=D0k>eDZpu(j?yi1;^sD8($Xu6r@w#!w6+2VtNG{2Msf5ZI5J*cTpR zCQFID-#I_4`*26%uWA!}bM3ivv)@qqK8t3T*!tyZS$8!Us6j*No=qHH_`kxR|%=b zt0Ve20z=5FNUU<#_GYT5iQ=IpQv_@DCY{ z^jdZe`#O7fxKau&*gOc~Py@IstzP z0sr0V7_4J%QSgQjg-)IZtP)A=CEDrvqqFTXZNDA_nKG}DGJjdJhKppr@pPuRpWi<_ z`*v1U>EK#8rGSB%x}g6b`*PN1y~}R(!aS8N7f6^z{g6_JG`k!!^tUT)o{?c^a4g@X zL-yu?zuEA0^LW*n`snT)SjZuVbHT}@YJ6wjqoZ_3kjj9%3-Adw7sWvam=`V1bj|oj zp6U(X^Gp_6Aca%S_yv`CN1n~zsT0|&P7m)n+;6f^-p|20PYS>~UZjf9GeFARf5heB zefIEQ;#8&|Y;-i4cv(X{dbc_)nSd$$0oD_(nWiCci6QUZ>K(#Z3f&o{KwqWPZH3bo zbg=JI9Dc2ECaJ=l-}|!Cdw&;J$Jv~+AH8i=ak*03m-P#wm6IIvl39DR_?JOcS3Bdc z)MAvd#G$$e^qxui#o9B5l!BIKZ7&IJuia{sckatOF4-lEbg@~5 z&P0qmQ%!7rnj`7qW07Hakz-S#0K`Ws{HR^ko5>Fuv~En*V_fJ(Ty#Pp$u^>-0gO%d zFmIM46ENMdu2dN`ZJbB;OojIN`y&U^hr^zH6=To61}Un2`=G0{5!ZLxT01G*rc{6I z3x&>UCi9n6VtWOb6;0#k`)r);hrl)rN54nEX&b0+NuRGDXA=)gYr;DtHm!au5o_h8 zo+b8o8-h8vuqixG;RT|BFu*0({7FE=Iz>oy3pC9sIi^xL?VriG94jquD=aq71yv~1 zzy7I0bQal$mD=(4SM?rgP*Gc&-J8NG5pt5OwymwH?NQtQ&W{-TlFWS%k!eSe5X7sV z5puXM%3-X|`z2QU9d?-pte)X=Q-U*M;+NGNXFEdYN(%+uff)NBWCdRI@S-ibtep}i zn83 zyt)?_c2>8&MHUa@Uib@My}OOY7GSa=!WHF}d?13iEI~Enw{fN}=Ey-xBBlbn#(#D# zQ$)JtjkSLgoGs&vO616cO@F4tTx@aPJjY%HkudJVGRU52Rs6$UF~1vc!481x-c2@# zT&ruM!PXNZi9=p#Y^{cf)PEz^Oc+vE_gr53wlhjxmSSXl=48lEn}d=IJ23fQx46-+Y@5 zS5x%M^+82nFdO+~`?hiHp*PNndL;0AJewnB;Z+=d3ky?|yN5m8KP}Br)ccvtfa(W5X4-mPa%ZOJg3fs z^?;b=U>2EOIaWaFiyEY9*86xsoONgt=fHl-hZ7zA(NL3vt95+YP^dibF0Z_o@%Sl3 z7FDJi!G$kpBV{auI;%?qYG;Q-+ePA|-MhFX*LC(=40lQPTjm*Rq}fE;aQq>VlA<`@ z1>1vNu~bstw($~A3b)gwt9pU}E#@Zs>*VLaJPTzUqxp5b>xNuWL`gy68QWTrUnAnr zqutKDlyH>t4nDr`5`6b2hIWiD){Qjw)Q8R`I}O%mT^Mv6w6NfZ)gx<$66G&UKs2x`AX5qN83*cr$4 z`B8J64gQ>xqI)e~H!0%fA)QJ4E}L5lpf+j#&h~tADujy(FA*FpyFy^ulZ3^IGYf>6 z+AyStfIdm-{$5n)K|v`Q(%Cxj-d*zep@5y9CK8X)KEX-(Ds95H4e!^bG~bN!&t0W9 z*-5`d+{==r>$s{b+o|^7&w6AxXXqIIOjMg-qL%F}+P`yd*#l~f-xWxxi@C!>>P!Pn zn0mgrcq;AnE^os7p56ziuX`^35Xy_PIkSrto7Z^a~~6FUGkw@WbxDgeCz%&3`fKCVZ9mjnoheDC%?2k}O+ACkWm!JsD@;6-WBG2I}eeR#nyqdz_55~l!h3Mv3Z-gM52^Ifqp@J^K* ze-%LW%%t0d^p<6MkHB6Z^YjYUNOO8T{KkI3@6Y#EsbldD{sIK(_^TXcw~U~3r40u7 z2JimU!;^%_EX5&rR_1$T+davlYi2P;n~G%MSt4Vl9!LRd>rC2gd-Jb_`(c5g5RA@Z z?f^~#%_bHI?uW z+klOF6|~*krnWx36dm2&YLAkzdG!bQV)$W)+{2jy{g1`?-I$i-!8^)NMq=yuZzPv< z`(|jq1M(zNa>z7*o{_$?Rszcv@UQXQWIoD7Q$%0=UAaZ_%cwd&MOnR^rWkn8>byBZ z_y_P#^9@!S?Duf~Lv2JJMp(Qv~m-E$tDn?g5}+n-u5zbbm1`5rE_y5ok$ZkQ;@P8ciczv(XLy zF_M?UKGNoIO9FWak#DGHTd32}V6`f#h6V+ne%+7^6p#d@rLLPNRp2tHi4Z-#96j<{ z#S6z{#$q#D8wJrtoxHVF+L?Pq01#*~EP9eVt@611^@-M91g(a&L2mp(2=*AdAGNUl zk@zNNcL=My+WG=Bg8L399`X(8Yzt``8f8MIYW9$z0Wc3%)D1AO{oi@MD&umAJHVWl`Z-Qex zW@G*EY0Mob^(q6f9db)R(@OXLtlb(%ry)4Uhyg#&|JW87QgWfxBOX&nx542z{iyXD z${!NHb;?E~Ew(>*Oqx$ctWvdr%d;hOK%}b>q}NQh7sKpD6u8h-%`M~ER%C$$y1>v! zaW^9>OFVGQvnFYZfJ zZZq8}tfq&mR0~G$ut`Z^$Um{Vx#I2OMiC?bjMMW=BG{3vAFK+=ty|w`iaTYmea+8Q zA)|G5z;Ly&7-K%#+A|#)z3e_pL8I(705*9vJ-jZ~P|#O<9%k?got;$7vie!6Hx=G{ zYj|3*?>X^D3+NuZJ${UstMm7Iop*{~Wr6IP?(Ui?r3R)2Np5T?ujuG8{L0m zm)vwZ@>J{FJJjpKW6GUvaF1EIA<~uev;CWg3=Zr)>gyA->PFq4{P%S$4myTYdxyci zdMW#YoVfu9Ek&P1Q z#tNizY6Jlk* zEoXX7dHG?2*%Gl5h;jU!)knAFjIP-2aWP^p3D%HalMos$8LjtqcG#>j&Rpu2Gbl(6 z*AC*r+2kb}`(+^disimm-u#{4DtphV?g_c|a&QW%a?b&Mkb{u0G!E8^`e z%+hr&mLZ+|FCKf&bni zXoYXBfy)i_(2K>QQ9CG@&T9=%t(aeO)EtFN48fUKi2q+(i9bICWf4_-C2? zY<=#69k6=ht#Bowl0XA3&AcVKq%d5fYkwuR^oyzLo#GyXP94;@@w&Pg z)#0oLf!Mcr>l$Gcb{1yOVWU2o9{|0cXi}u$HGDlbGEpiEv6H1z5YfUZl0vIaD9kQKvfk)hE~s=71^5TW1#&#!FYjbUe0sWxd>g;e z9iIsdY$i78Ii;m2xsDa}W5Kxn%LK`Zj_)CfS%Qkqam@0UWAE>4685z*KrHJ2-*w_a=pYEyrIhApSFfcyzu;FVp|*< z+~Se)H{GC~Se<6ilEBf0fNYyYq7t^P$sB4cPtH6jC-p0)jRIK$AB#=W5R}}vlyr2F z97^e?31A@~S7J+pvn7QZ5Y~*MyK6xLJ2|RcB?GO1;P$Vxr?8pITnOb@3N2a+wWe@! z;YsDvb9}3Lx_F183SXI$w=%)oeH+dzL0gD-E$ezhM4|iw-x^_~oRt~IksbC279q~_ zu}<|NQh$C?MTM2kKiq1ODCbf6YYaWorO6R2O#rmCrJ6@2{Xxfx zjf-FAUcJp&>b~P|wTMQiWO1!Kz8zfZ9?V9!c~w08@H$y*aA`6_nVwO1&|#enE7Wd| zz}<-MAmsh$_x~i4F?JuVkuF019kWiA{+VV= zLyt_wWv`ao$cgPLC^TFjFr1>TN-yjwoV1{t*vTGhq3)pfLNpU&?X zy)(|^aeP_P_g0^?>#DmG*aEfW;ffCAWlCw)MM|u(R`mvg;kcJ-Y7Bl-Eu$3kQr6 zt%k9QnVuR}{PlCPL|ayVK6ZXk@I!T>ml%4nfwoJ0e7AQ%`216X$HvHVQI!(aHc;2z zj+{6xN?}CXGb8y&`_#}tX5~k_BueWAiFtd!sumKWm0uzJ6zp6s4LT$PE#z#z35zKS z^jSieOcb@2MZbLQtujaZGK(QFRV*WajjcjMYlX=VEy#bvm8_VWqKi}$Qs(o=lq^i( z7J!O%9kaD7uiz$ke#^Gn&X#*i?vNc1uEmG7wZ$ovsP9GP#w9Yf`9gD~jU#N7D`FDw z#U&QSC5l*iKhEX;)>_q)aIZDN%HqMP*WShlnaE5-Ryp}4UcNE$N@VA*Jl(6puTW&I z@GN;kUq06L!Dr7GS$|Ush(bFIO?nMWO=q22mu;=$^!7j7fwPU$5cwh#L3#xY}8P_+S{c3VYpI%Y2L$;mGAN7%59v+t@Pon;Nwra*n_tVr44?o zbd~tB6Im@bH>DJQEfX8Q|&Otli(H*s*7AaWtxt^pVmIx7yKwbN75#Ca>Joadzb zcQd?-Ysu%^BNDoA-RN;>Y>=OpkD7jJk)1>tA~p#X)EdwaLE2=y#}ms8saWck694_B2>=Z4TBq zlRuN$ogtjwjuzlZRp!}Gh#QvN#-k-9@(|p3u(K6^@HP1khq9c_o2&J2=o)_>BFeY? zT3?sPa-e*lb-?=JkoVfwjp;MKAr{;J687RLUeCmj!ZR>q?_tFnc5%yDBhq91W}r;} zH5(K!v|XP^&P+rN+pj~xq*r0G8rjVZ(_KW>$T6h|RkeqYQf(W$<$l{!cZ_CbPM~tT z(lRvKx5(Kz4fCH)`onS*P%w8B#w(|Z$erWiB)=rAnu9?BQ}XisZ^W1_6c3;5YSp*% zGN&QY)w2%k8?r{|Y~SK+2rda3kMFw5Rp|o9r?gM^!0iUzqd_0;SK~^X5K1Qjsaw4F zT>RdmN*B$1>CTVrzk0dZ872&cWg=bs7F}e9h7@92W=mr~I>KAP@tmbDon|FQ-7gZD z*S*tY({Jr-NzS>rSGd9!d7 z(IRCCoNNL@tk_Qp5Yx2%D1m;^*bfWtSAH(Wrm9xrH-Q6x&YORxxa5KS_C)3l)aJKA ziioe$cPO>nnXR^7pB0@6YgrVkSyi!e+n=lP1Ah|8rheLSggvunH<7FNf|%)Yf}Iu3e0O7ZK=^C3)lAwDq0nwi zd3>Z2{`OQ?pOjD`XFMsbRLMH(h(xjDI_~~+YnSZ3mXZa35grg^bPc!q+)Bx-oqQ4V zJc-T0~KSUEPn_zUcSKbMun?U-TcGtIM`he)?!T?k2inr_`z@q8@Yf3Pa31ewy-N6dnSOJ6b8~NW z&veXb_Wg15zPL4|dOghv0K__Ti`&PwB=i-5|qMp6(EZrp!U5y5sgDLt07{X~K zzl}We$b^p18Mx+uae+4uHFA{#HRop#b{!}Hq|~$@-k<;dnQmvZ|KNqG!8~>;^2$8~ z%*BIfYFS zCNYlh-u6c763~YZdd&i~Nuj~5eG42Gd=qb>xthNs`sZ15yL^8VQis6r(-XV~$7VVD zy7mm|XyAvpX=Zg%&T|d6=FajwUSLQ4aoWrMEam@!gMM2rFDM6fu639_Jw0#EtSmw3m*rd&zNy<6bo!rT4#7LHO<#LB7?4GEKEfDN2I%YG=I1}J=Yra$mRtGK_ zV+HjVhX8u~;Vt#20qc^RfWNgt_2@VkiGn2qc_cA8%!C6~zX$-;eoVKM`Tc0D^NZn9 z>i_bGkl>OK=k)ZJR^C;XbNWFD(5rA29HPLPZKC>mntE8=nfG}thrMRFxDSOBZVfBM zHJE&OM#kLjdCM4@<&~QidF%ZsM-D5er`ZljyxBfH5NF4+d+KeyM<41|;jO{&hav1P za(ZA{DW!8;Jz?)jtv|#SQQ~I9m_se8;$7{LMbn6GD<;02y9pw4Z3iH*QN;AVe@m-H z(JYsNx5_@s^Y;Vn)j5M1tAqQi@U88I9(!J;pu<}U&jHx7$pFEoVyDb4>elUSSSdwi1jVFS_F?z?efg04y^!5DEwNVwRek@<^uGQVct&pyH1r4z*hU9 zvy4#2jpwI#gnC5wcC5C4Nd1tIaE!ib-sp&Is7E(o9bT0zdXyQ7=|X2`m+v4y-xZ9r z);!ol8Z6JKbdB~Ii+4$k1TmUYzO5FS+_9SMhi6F{uh4#b_-M3|&OPCnD$5PqJ-9BR zo{Ql76rG(L%npEjG+iovgc?ur9gtsV`o5;3y;8aGlZ=Oee0Nmp_bm{6v|E%mi&3A9 zSucelk@AZw(wpX4{Ked?S$(oO2rkllwf^=c&eX#8q+M^#vepL0 zd4sdd=H6z$(dK?4&FS~%^CBto*0}ZeE)UOGUG@4XG)@zk$2VbA3qfv)a%PSPtjUfg0tXquiTU&;1UpK#GWNn-%jY`46K{o(PC`m-WDY!s< z`scN{%DjG&gW~YEdg!kCgD0?1`iF{NHTu+{s?{Q~JLa(fUZo*k{DS3jFs4!$tXg-S zkaPK~*EsW?HEUIO`694Z;-j5Fi@zrw!&1G&=unC0M*=k#e={t`oPH!bH9wr0_U3A6 z;t@An+F-l|`oJnlsR6aD78z;`Rs`N%DeB)C>hA#2HLV(T4FLU4{JTKt@B-iZMoc#n zEHGyK*%SjrYV@T>=_eRO)3=%M#2pl-t!&ky|p2S<; zIv!cS0lr=Hd}5?(m)YIRQW4Xji@OlqE)il-t6TSgb^6;9K9wf$K0WfnJ{D(#IRWD3 zVKd{bQ+8r~wv=Fm^7`ewZm^P-lC)1SsMGG6zX7}i#A6r34Ob!E+HR)RF4cRJ`0J>M zK#Mfg5UeySFhhW)!%sI17lKWp!hk2h#~aOp8bQ=ECbOQO+=Bj$wK2qPq9nZg ztG=G7A1<4S7*9y>hfO89QmmwfWYuM}4UL6N8Q>6*>WCy6B(9CgnECIKVes)BTv9~( zfRIA-Q~1B3fL%tarV3;$rv2}Ko;_i137;ysy-xR*T28h%?OKSGKyc4I>rehYf9BEF zVFt}V-F{HzIj>Wuf9+^n1 zAWEEh2BIIWrI^(=BzNxie;6&jo90P2`u{5|C4%BZ{M#m->HKYsEdW_ zaif&6wwW~giJLYOq}O`QM=~=&E70DNce6U6njsO6ACbNOzm}M|jaM}jPiY;js=vKO zI0-tp=G%}2*$e19w+4JM5y>mayHl*k#_D`fXE#C0hG2d0!7%4EU2`1)w;F}1r%}o` zW;;G#XIMGZHYQ9PUQN(DbdvP%K$2OU8uU^aPVADf(&iut1hJkAXYY=6+2xa~x-vA% zMdp<^JDhuY$GU5#wd*z#mGN_%24vezYugN2+spt09or!a^#R79Yz|CV6839APvw~h zN?CrNajf+}6E1V6Cuj#YD>A*!(C$gf_8O*Jbb-4lMYza7ytuHoj|abqV^->3V2JGT zOzeSC@DxLS&OGL`QJ>3bC}ts}kP1FXBS{LnqD zhU0`ykOrbP4WIH4yNM2;%E*>rP&}65%GtG6nQK)^M@NVouA0O@fzE;^`TDxy76DH$ z&(d7hFnq(+uxnlCL9)4l4i#&?``WooY(YwttTd^E@gfSyR|4X1RA4G&AlL0auYCqeY!kWBDSw!WjwrEpzmrHD^vMoS zfjG~vyP``lEM=^PhnlZ^mSa{j2LbFI9CL|LY)7jc+lh6$ot0}el+SS#VFx|H8B^8d7Cm-}=0MEwk?@OKE>jD%4Ted%}8 ziz4k8g^MbO3NcKo7p4jg}K#;$MI>r}!Oeymw+RO#GSsIMAWP{3rV7<)QyR z&vm!hcaNFVd@tr(fq4^Yf0%F?R6z!E5A$nz5O{C#)Wy_T?T(Nr_nVOPHO_?`W)tow zYh!oA!~-7cZNIn;Xec~sdS8Wmjh*>bP!{n%(@Weo0QW+4K?EDI zI9zCh`fla9X?dnEcI#Gsk^ZqmQynjFs7Y!DO@L4Pmh zaf3s}H#_gm54yjDpVI%N>BQk6Uf4=8oaDLK%Rd5DHgdQaOi^Ejw+Du?-2SXgw!h^y z8vc1f-#k>goqQo8JK$BQgK%w>?(;?Mm4EXQYvfT6OnlP`K5;tdepTRHuTE>%{`sx# zZnBdu(vy)u8vs#H`LnFqv+2~rZnS&>S}i@`n*}Z-o_k%zTmMZ5yRGEoO9w)p+sO1n z6-Rlts=Q*{#VD(p^yiZj#VBu|{&EIZ2r7rl#w^e~i!LkwNgJxB|PfP@l~lF~yCjr7nUAdQrSgoH>+3rGqgImFN?3?*If z^83H{{%f&V>+U)C)IDdPv%hcebAC_JOW8{HO74=}j(;e%W`&-L#L(GVYBG%yu_sNf zdpY&>K9h2+AP*v&0V1g6Yz&@>1%|&^uN)Dfee=cjR>^Kf9`{k<6kP|Y6F^H5#!vk# z-PkD&eW_Ds4^Ytvn*nJB;lK7+}EI%6xf-0Yv0OX$F9o9XUE<`dB``KmNRk2?GeSA|M420N_GUWAd*uMzN3&fm>|PBts1|ZhO1_mCpdcWEO6H8h}I& zW_Rm`9liJi1QNl38RoQp-lcOeng1~rG&ZPjxwQ_6*mHiTFw!}v{XrYes^3jRKr-^6 zNK)r<#UEho4#P(&Mybd>c!u5C)?Te}p)=MANt?=X=JlZIcbS$)u%^RHVAV0i)OE@_ z2iDy$LC*GK4JWeHZ~z)KlT??4M?bN89I6NFEyd;s@Xo#zLVW&O2E8-c$DDfm>qh8j z!+hJ4y&8P#7Q|KJgmkx50lrh5$h%3=lm2TyuM}Gd=>5LfqVTYcX-=`cuNp6CH;jZd z)*@CztukhIt1k&!mS32Z(Q@2PG!n|F`%ly_1vC{O$@8QT+CkWJeuUQ#VttC|K-o~N zy4nceWh|08jV}z*Qz~2$sV%8m75K}X6)olsQ{@p-8qJ}uh}Nv#0LFKH7To)R#riER ztR78<(=X7n6aH^t1BXpkE=RdXq*h?q-Yp!-Al5~Bn zg)qu9k9Fd|7bgf8Z6A8OOle9MA3>6}xb!5(leGkOy)`$OM?JzNYeUArD@RG*ONSD8 zo!2XME97k6WiK5`)_d;g#`w0vmMRX#5o8|N6*bS-IA&eJ-?t+5F6+$q7>`NUBj?2F zQ|GVm#!h(OKiju`2NNb^H_zr!Ua{DC=uhdpZK%9!!!cx;iJ{h4iR76w>_` z3V1r=R=X0F<3VD@tiq+&zYi4~V&@?x?6+O9p%lw$2_3b?c4O#~d1dV7#9?;tov;^P z?g%b7$yckAbVzn|6f8{mZ2*aBgxW)jluogCpXhoRdPG*j4H=Z|M7pY;SJRr5sjMXw zWtFFIIc*$S9ckt!^f}>~_n4;kkt9#S(*wW3rLpR%CzqzFmGA`*_RMi|TuP3**}J2cKBX)@E|nX2$lplO%7|uhXO-O@+W1DGA^A&v7Nvv6yxV=TCa$ zN;4j@F?#4QiYT`TGx4K6No;w!PKrrvk)C)2w%Qkc(|tAioI)9~!WqzagC%BT9}>Ep zfCG#Ea0~aX3Rv*AI>AxvPf_gep_VmttK>vZ(pEm6A_8FFW-ed4rIU^BFyF>+9$(g< zepxU4VgqCFhteO1196F*qEnw2Vbv2Z=Ximz7l zA#lW<4f5Yc%isY6FP!*ZAs@|0zOlF^B>ha|Vks-Hv4TAdJFiml^z!|B^BdHbdo6^# zF(d1l1PR>`xxlou?CP)aRA9WTJd&}J;+N}KJsFwmV-Tj$Z06GRwY5;?dN?apF>E9| zo*Fxm>ccmCK?o%oOyOd*cd?SkWiR1AFr}MuJ2!InqYxzPLy(I#S32y{4U-dHO)Vt9 z+oT;P#|nAnf8RrSIA$r+ny_@0!&rgNeo!-Vz)^yDG{H76^Fu z-VF}EMoFfa@%Ov)mJwOgfPwKvyV6Owy}s42ubuXTP66p@vo0LLYxN$l$?jq9+dhAi zz7EyKRpsBbSK=xb-^zB1+5P25tvzZ0&Z@I`I+)*yxkh8D6 z^{<=x`vtxNhi^Olp*tt^%?g>atuv!%v(ucB}$;BV$?+!?!}h8 zT-OD~mdJqA*(u>otZCXaa*OJ@!23bUYyo?QkR%`Sq$aK;pb6M&Fi8ilp$^f6FF28T1c9dd5+!2(vzSdfykOq|<4hcEr$AM`UHYgx%Y3(X5(81KTu z9%C}R1Bsbl_HFkcCBZKh) zj`>M}x1pc3p$pqyBijNKvu3N^kWhl?+I1=+lH{wvpEOHye#3u_zCdM(S;L9+*y9Zp}~ z&xDGPBzaLn?aSlU6b3`25-YveAF%MgmFPk$p;XO2OAYvEw$BF=?C20}AC^N|5JwvU zNAHpQ%l(lh+n#GP5VI4W4KtTKEz5^?H^fr{me&s~a7p=zNc$S?Gcb=%)+M|2wRxHQ z1EB9ZG$pvH=e;eT19NLkibB>ku#0t32pGqMB1GehLyQI57-S!Zy| z3kZf;amv(`Joq7!G~Cv9YjJLqJuq?>j>{i|Yx(?e8z&fp7L-@+FOt(OE%%9`;Iv;7moUD2Y8#vVG7SZ1a#9% zaAQn$L!A8LtvttV`)n(O2&ja!r|p>M(7;|S2_vQBgDC73ZtUau(Zi+5A!LH!$6?f= zX*l-O71%yKGm1{EwRE)9;jXQTt#G=sn&OTkFWWI#hn1 z+rZM30jAL2@=y#}J{I`~C*J@xmNrTtFpeM}Z{!)LVKJqfXpolMK*}ab zTX}E;f^rL&>`kPsV0p2|Be`f<&-Tx8t?fnmF%{T>2H1gTf!RMd-9xAVz59*mAVTfy z`zNaW_?U*!PxA4PyB<$k@Dx3;+-XXdVce}EI{4mb^w2RT0o{s38>gX(ff4^ObI+Z` zoVTp%BkbJzEP-h)&tnSR^jKqF)WYlia~CqAtJhyvPpXBOM6ijrhVxL27ycN&ZlM7A zQD6=20Y-uxk@pkIR^n72^6o~SZW@;BQ@0GsdJsaAsamK^Sh|*TGzu@{d2G|;`VzP34NCm6Ikuuj2gaMs5noQ&uX@K+@_k27OL}VzP+sd z##{Ss8?Tl)6uBundG2r)y0&S~5szv_pcK68jWRwoz`LM9Q)uyivGmn3~EyLw8=EaY{ z*#Mj$*n)g6Dd0`0$GHU>?db`k$9MQkxT%o>Qjtw$<^KLRI{XA2Q&97pC*bTiy&< z9C~Mz);`3Z%`5m+<#TBh2q^1zJ@zm|rp8n^5A0J9#JbAC?k}0xQU`Z4QQMv;^aL*SHgiZ4t@d)|n;(bSr<-Fy0#r`F zq<{;XU0zOMZtA>!?3}12dpO%&es>0*rhirf`bqJ0yRoRhboXUmX7Xb? zDs#UjD=hjt zDKR_h=1=9yGf-(n*f%j~PZP!P>g4k)`#GztSz<^eDkz`h^FM>FUTTcG&;SR!f62IZ7Os+iSR+h0&D}FhdN7A?U~Ei>^%ur^n?Vb=EAThVO+X&QZN5 zPIjS8`(TSV`iU^9=kjq?*XFptW^gwVDn~OMRT7TM4M)Xjkmwm3sSYhr9lGef;#XeW z2o(+%$GmCI)+Ke#a*$MR!5&Il0wp=(eP^Re0+yBQ^0UW{MeDDCP1EN7)1j&X$lgfL z$THOdC{xV~eoPne!~{cU&7f$zsj!CnT2{*`)p%p5efVD^sy=?rTSmp4yZ(VJhImMX zc=$Zzd6d44B6?-_M`cdOQ$oixTh|jhfxoaZHVTnKP)ar0Gq-`yxiWm6qU{b{AaQnw zK!O8jgA*p%*<=riWRL839?%JDzLcUlhEW~nHccG#!qf4pWX|r9L;kdVO{#?wDpO=z zgHceP&}!4m4G1<+#QpBpj*xwfWtZr@WDKT6-UpBnC!0MCkB5uFX%{qU7fNVN0mY15 z5UN-6Qe&tqjjQiq@q$jIq0!T+!i^NnZPnF{hiB-A1g;5IRD`FePGRJ23MJpE8$lxhQ=Z+%1B3gw$y!B6ozL?n_DS24hs;_wdxwsD}#8bb0B)8M$y z-IA_7z|83s9!pfZQ@d}0b!crbeE}`GAOpIa-62kgO2xc}r%;>JUH^J2AFd+-{lGR3 zV7KYSP3YV#ZrgJU_BJr^Tewjy<~@7tP)CPo*_XuqOg&kW@=XC*EbJ6;JMvQo)PJWb z=!5zXz?8wrFaz&@lX0LCCHgwIDSc4^!-7F;(uI zQemu+MO15b5Txr)Pao6gE-T%CC-mx5t`KD8v<;|AsGw>~yK>`T}UxMW`BB^*P&z}?hoa^@n9;rTOu z*?m*~(ku8jx8s@{qUZv+Up7S$bmCP4BW=sKvsHo)eeKAcjZ;#f6Ur+;Ju>QF?%sLa zd-*$RTWTJ$xEDSAs3E&j1R-?FXn89h-%P`zBT^g$i=^3Ur_0S|2Ep|};LLX2*^K^Q z;zd^2$$YsQ&lZ&Ju#@v$B}wWa6RR1W`r7zN>G)Axmg8k%yZ!{i0Imm1B^nmUFS1Gx zmZj-;vD^Zdl>#ijxeblaoXZ!-esSqWhmb|A%!^W)BfqrlZ2h9c-_lm7-0p)GlvyA} zZ3sH`ACCGNM-j=UUebVGZX_oVEy_uL%F)~S${bDf>IBzw z+TWgGPGtxStNTk!Q@95W2kU5lvE3HwlbJsGbK)lXnwQJAQt~zO%e~N}GHH5ekrsF$ zSwTd0xU-}g^s9% zg%vg0#U?xnKt8EVhIvHp@Uf)EU%rN!OFtmjS$m_grC3ytq_I3Fg9Wyld6=+F`4N2vgsKYzT4k#&*cCIv@W@;&$Qq6I<7ks^|f;%E#m>4<9_Mu z%VD7eGNFY04eKpL-@(;vB6?-PkEv-uo;~x}@pirf`6Rc*697 zQ4XAT&LESTs|LA$4!$2<$uZ}?tG23~SMfs#{gpFS!DpJJ`?)I1^BRgU;no9pH@px< z5)9lxMp*gPhx4j-;QELbCArUzu^`nsEjJT3Y?BGs3WF_^wF8`P3x@>vxHYA?wdy!) zq%w>_jYbIKU=+OR^CQaVDc`=5StQ+LuyMZ+nH9@dP zWEiPdLHCaSx#mMqO#l}JU5zGCDwbg7=N|fC`lR(|I9b>G*6#PviCrg|?wb0~VUL(X zA0Z+hDHSL7K_g3-Y^4ql3z8zlw%%0Z!F&me7=M+{&yFXjlO?Aw+x3Qd9#RyM>sa35 z(^J&SW*Bud+1xhe5svsdoeVOaj8@$Y=)~o4JB<&-XO?J?MWt&9{DaWVfNbhLc{cZnGJR(C)$^!1r%AB9&fF@@?&S*lLB!6%@nO~Dz(7yPYA&ll_Vdb;yUWSBJ9)wM$sVJBZFW@WtH7G-B{fy|*4a!*RM7N{;QQ%(3CS$1LfBknlY^iW z^-N}R?2W52A=qJ+nCLGSX+m^xHi(^==Sb(hB*z)%l?bq$NaSYcOUAY?XY4gr(W%nU z==>gF+wf&&& zLP2yh(wyFkAA@bz4s_1sIgKowF??CWnv5KA93qk|=;t7sWf*rRFc3yiejf8B3rcaF zs`F5nvO~F_Owpm8MU#&4$BU&myTeIYXCH+=5idS)6bWJqy6PwJj3q7l9^U|O(mYfIN*nha5~vQZL`W!ebhnNl7HaQqMKj44T#qp3a+v1lAM#QF@V^r|1x? zpT`u3c2PcTdB7xz!5WsEgYHAE07#WEOZ{@X+yANM=g2Dq3%wj4!m>{FVUpe;PzE3)ml^W zJw`B0sBd+xxx_<6R_9&5OfR2^@akchW}36K-Knw)Mp313yJbO1p*f{A+3Ag1fTl>R zH7w}K;%HQ8VIFnUb!V)~`;i84lJ-x#BW=NhpodI=xe9TofdCbrw#|IX9YK~unGcVX zT>dq>r)6<&)R&&hsCIQ9BM&;dTxI=45*FHk% zy?Sv2wm6{ny|nt?khTYx7^5skQZhJKyHb@pv+NVxur|(csvUsU4(>Y7E0Y1bwh@3$ zNp_EN$+b1K=kqI)IOOMkkB$q~nqth{ zl7cMy_gTz84tHN)=2em$!Coc7-qZPDM2G^}ff!v=KA_$V-k!c2EhBXSvMg#KnAb|26-mexNS0jXh<3KWbP*jKOFB>gJd{GJ`>3>zh_OL~f^!U;sWni)j-JtFv&HQ}R(AOJ+3 zHn(UL>0_T8ipM?#kAY`Av8SR^lu9Hkf8FpC(*-6Z=qku-V;ZC1hMj3PdUINW6{KFy za;iA4! zGU5n&|4v8U$M5Y>eJ>!n%=?b@6XbzADT+i(eiHL|Lk*&GB*IJ}++8W)B4=AF0d3aKIk%YbVU)>Nv1eAAG1`&nFWseXNDfbf8Hk0%q zXLf_+>G;4|_Tn^r`_w;(NCYx>+iZj%uBN}Sy_0MYmUN%2;z$fpviT6O0a_vrjq zu--Ul-QZCKJXy@zl{CuEy3xE?-P%W6?}F9t%7GiYALJ#SRcO9|m>0 zw<>7x?|%gV&J~CvTW~N5mKCp+?QMi$my%Ey_^A!M^1bQ4;hUi$lJ|35^t3Fqr|&Bb zA)q^EM5>+)Akn-8AOCzKa@h!=k|&3N0q$hOFrsNq671{S`ANQ}1F$}usxD7kg572S z8)~q3AFw8IUWvXwi|x6&vqxvl0UI&Biz3kKf=(9*d52zuBCY}R zbh+k~TdjJH>gOx-dmRALCEsFVhfdfxMgqCfo%{nzoe@0WTqy&v;tTomcA!lD3M{G& z?vDT9&&(sATZJ9pdF9dW=tWrSqOtI{5LJ_4SXoFtoaF?>ezG#ZsElluw({h#X1O7r zo8_$q0Qup2Jh5T_0BR8=_GdV_ja6}Lc;X%^UxX}cgnA;@wO$xAJKZcP2pGC^`&KKb z^Diu(kJ8|;-l4OlM;dSAHtMDiVsZ9gDd^;50cez%BwSQZEKm~56^gZ|jU@o^H(Op` zxAI#f@>`V(?u_)I$*Z;heY9DB7hB?uKlccCj)7<{LXC&k$aLP*RJ>) z&9;Eg8&wfb3XSa{wfwrq?6*uExBd8g>HlWpF6=`OHW#G$kC)W+rYX! zqq+eQ=rd`Sqph){B50+9xyYb~Us+buj`UZE7jcMJRHzs99T6XEOUBR8vU`u_sVf1R zYWcY(L?bGds3?$210Z9%Ff@grd}D(Aiqn71Hv<8E_@SZCok<|_jbM2Mmpl!N(ZgO) zrlhFQ0q$6Yg|vxw%mSMRjac@8UF4Fdsyps4=#MWvmwxwxJGU%aA}m^zUIRTw63+d3 z$3priaMhMx2EVeq;e2b>_b$(>d>@;LZAG?)IJqFW;DVyyLV=(u(wel7_Pa|Uy0ays zQ@VHl*XXU^z4RlzqM?yn+$jd4sqc-mCVKnghxyqHu>ab0u-nf&*4Z5!wsVIAN#EKj zuCZGFX>NB*T2M@4z}8kkXkR6I6r5$+9@h{2m)?^Y{FS@A=IHJB+lOS=5c? zs4~AIBldZDazIc)I)a5YGDAu3m+|XmS3j$K*JM6?F@)f8Ml;VPBeA5nyPGxu{jAF8 zDv|9qcII3)*M=P?J+k%$5v@lI*yU^P;zRNq!TAWDd_WsGjhZpsJwJP;4|dSUEZZ|n#*iiB_J!mF5YE53Nt%huPGYhgQk| zLoJQY5ca~TdwUqqi#na(z&Z9$FUqJ>*(2P2pzj{7d9PNi0^0C8aQ0rf8a-|Xdhf$g zoX@~t9ue%;Qg7IF7Gbs&J+1|=r`ldMj$7ZwOAZJjw2 zcNA>6r>Klq>ePm+aFdW7YzcJ5GB(Mlmw6;ig!~3e`xfiEH0MO{&ozFu7V%c0pZodj zonp4qWtl!t=rNA&QPLtaGm26(u&r;jQo!)#6#mT}M1OBA?{r4%M*+l~u%B4I82}G` zeyHZI!;fS%Q;%OLpfy7lWB2OZo~qb+sR1LdLC5Mjn`=*sp5qRv$C$7OM%@EI&e`H<)s-%o^LD6V>5Afkf8jLX3 zUJxKthU#Cw?mlH9ryL1AO2w76_Xp7tYM;9t1Pb;00dhSv`E-CSlQKD-vuZh!z@3qHb4_=7VGD>F)(J$b-t<~wgn(m?A-2@TI1xz ziPMmJ2g@BTo1H1^9sSNxk?g_W2i|v#uGYHZ+AbN_QG;9Cf_mFRdD|UqKA^FulDfL9 zPh^X55WMTkb)U$qcYt7J7mmg9%lpv#O`$u%FcIpD=G`j{iVuP=I;#sIuJ|>!p3es7 zBh*f6&C_9vF6@h#7mNJBd^yUI`e0&e0bt!Km4^rbrrIfoS%Nd4aNhGN#l9OvZ_}|w zT4iZwT-a&J==?q5$J_zev!w~%26s#IoTtMM;i|&yus^9PQLe6=a~pcM&nJTl9~@JN=nU@U2X4$8ZaS7YFNGaM-==BkW%!Oihe-vVQB&| zy8`5=sxGs{5wOUBF%~7RsMO~ci{%!JSr&}g_-Qo*YjO-3jT9LOo(zCS7rz~67=?n< z5j^RQK{$(0yyRVw#46=~&m8HE%R&7ZWk@=_dTdG(s|a*3o-0E5D~f-lKe zQYwXG0P|u1q#$#6ng|__bbVyEh>OZ4LP1}SsAk6RhWurf_&U%=T^H->?+9Jlii07N z7Sxk>{xF#4;jmdZUNM{R4b#QrVDzyu;63yEhZ3K18~mc?tEhf~46-kdm@4pHX`AZu_@IZ5whhVTQmcGQTvUucRRDzlVyjW zeP?C9F*?YNS=J^X;j3}<*Vfdp#L3kpJcEIIh#cvSBlGyOp#Fv7 z1jq99@ese_+5GzZ)xYq1nW-n|0Kw{2Ui!n zOf&6skI$d<@h1Q#Tf}sjQ|%OR9he$}C4t7=%fwqUo+p8bt~Az{o70w?pP`$<(WAj& zSqqLp2|*^rXRUqI$9LD!_hdHe;&4Iu)YZNTG|c=W7Go z4}KMDtu)xszYU)@jhU`u`0NjN7UvV%)%hG78)cGLw9R7%>R z7IW9&FO_zPO11M5)4thx;|b`f)iT=_%B`}6c;j>^X;Fg+jf^Y%BQuBA6Vr_@1t~>#oz{b$w#Oj34-}NUc3xEdc;J ze*OE!<*-E2{A+N%flz9qjs%&zs`Szyg&g4=iK}n9_IM3r)*s358Wte8s(^K0(q>J8 z2tDQaU`gCY&C@tdY6+=br#0)7=fgchvlLlJ{4D2n$;sgGk8Tz66Mptf#bWNG)X9xb zz$|Hb+SLxW?+8XWxSxCI&1^6O98X&GFM{M3;!;>6;?_l-{%WjU39`yr!a0}ILg*bI zkNrE&Ddo{qZHImK>O<036m=`rHJPs7t=(4#)df9lrP2-MT!|HKsYD@ zoHi;PlH`&d+OVjWW~ONM_;m^jA8rcTyBeSaX7D1mmW)|z_pLVOR5aLX<;ufj$AXtj zOwU_T`BjhUbWK3Rw>8P`c*`@>LGnm7J@0NDtsQLfeyXp)q-l;LNj9q&qN$xZe#ni1I5g=g>dTZpU^piige#Ue$EMBBUDWOP-e(=IbniQU+SG^E{ha%8xqtXN1q2tyM&V1Hu zq||GvsfKjbg@B$X6CxaZ4CVExAY^$U!2ZAulRnt@BoB69fx<$BQ@6MCS@id_ufItQ z^z@7!R0Uj=1|2#V(&{ zV4@!?Dia6=s{C8|_|Fm`H8mL@Ncy?4`jLNQ8JXGsjuTq~rE5K=OE5zr&3ZLI@i@xj z44$A5zqgpF3S(!|UTQq;14rA2*STeHIc|tED~p-YyTJdxSdDh9cpYm&L(h+57LL;$ z@hliGSK(3`oXz}RzzUIIfe5fe06s&djh8pL-FCytgB4XPeD13?<)%7G5^YwR+B`y7 zkeFVWXspUKrq&}l9p~~}fp+cVd7v9bdV-I8i>DfJR@R%hTlybalgnn;B7dWk2d0$= zC&N5t4tuYUP_rdg?6u1DY23VYEP;<3$c(9B^b8Ws7}R+$NqT zrMPvg7yPzogwr?-`f(q9gUSF~VSPf}}I3oyHZ>)cCAtfDMj z!YvkK0QY&l$cNMARdqc=5=1`8Hu&5#U#2=^Tqh4vTi&vT;?@)`D>I*^$BjvD)*C9; z8&%e}$S?0(!Kk9ES${oM+m+(HzVPZt(wV+!T2DhVKO2l<_`tC7kKwA6%%;Jd*1wC8 z%vmD!58Rn_EaPz!!kHRE?AfcLcfPVNg&tX_WG>o{A7=Hi`kh>QofZe3?szY)dnFHq z`9UnmVYjzj9ds<3vq>K|r|(lOLWX9E97O(PzOj?KrxeFHn5fbSE66~KSsRZg<^Bz? zvlDcHB}!I%uvQ;UWgvkd5At8vC@i;DO5jc-$ElSnkKBBl{jHj-S)=bld0QUz%zqT5 zR|#!cKUhrfC!C^?r@)P)cXNy;v}|N2jbX2ud@njhG4rML9-%jJGrA;I>M%5veNjEw zCHDq5?d#a10+Z$5_^mPH?J=rBx-Y;8?3rZ=`Qg68jy`90%#$ISmLD=|4bVnO$E}Gkeunfv|UIml2edP5?;s+ z*m}-KUs^(|8tkGRyh#5>2-s4>-C(QLkn3jh>*%V+xIV35S%MwenJ*0glXb7Z)XVq1 zX9qANkxd1zt(B^On^W6koA~6dr7A^5auS7dt{>&@xLh{YW~qyM>QtK$6)T`%r*}6f z$n`AX_+T35d2w{!wN+j;K9?Cg+(dru%X>`+ENB_Q8#}|fNfdX_(W>uf<5sDx#+Xe0 zSVKq>7?oMYBh~imt;#ZuA6Qfzol^ZGa`^Cro=w?LgvG(}++%2OVf+JNWKoh)uoRFy z_YB%4j$9xIBwRr3uktJBq|n-_K2xt9{`XdZ61Lu?0Cp5YK7RP%UC`}aPyiMLp!ni9 zm0fT#|0Ae`DY9MKS7sH^B53yRywg|2fIXGc)Q<`K_Oanno8ac3pEMGHL}_VQ_^TgJ zFiB%~zAnD1fQfN)Zy%HY-{S=f0D>{RNjO49AGM_&ktE+-zK!H~k7-?%F;=LGlMW}j zrhN`^4u*a8D1|3B*5v~Jg!NW>FK$q3-o=|*1x&7_*TAZ1G_s`@HuOCR6^&_2!vM^0 z{(ZD1o^4Mp<+3mDG7wJ^k~rB8D+9V4G)*-OZ2O&VzAl6S;YK{#IAcDE2N&~?G!W^C z<~!(dnQqUm3nHF^#)3(R!1UVsjh~L5ojCJzJw&xPQ1^RT&I(t<)T#1=J^|kKbQ2L$ zmvFvKEk3(=>rYMtWx)$R_+kMgOYgR+#u5 z*z=T8oN^AMHge}Zcp2g<^P_0T;KyZ?&pX(7X5&OAbRxTg18s#DIe>~DXiFO)0bI$` z=1<4w;#q|eEW)nr!T@Znq!m{_ieL;u4jV@gKTd&tmJ^Gim&iTBR(`#x{u+CFbgnbF zrFkSd9hRKl_%0pDlNjn!iS6;BnbO&p*BNN3MR7o-@Da$9bB4SeQEC?#%4&^of5p z@VJ%Ms_qpk%@fXkgfB+tRu)kGI<+lRySjO?Gqdo~!v(LQ!4sDBnzcySJ9E2Rg#`|7 zc#k<1aaudEO1@oyzN^aDm*>2SqmO>OBM$wEsTsI4To~nwR9xiN1#>Ea8(ZG$_TAT| z5LUi`*KIE&@a4XS9^Ud^(E|S0r**{3M6}lQuZ_#FrPJ*42X^f`Y*(UpK|Vm(lDNYH zofyTp*XGg~ko#TL88>Yv)h2C~d2;O#Nvm2(t5r!>$bap%LVjIJ84Zu!;v3!L51emq zq}FE{rjb|SqM*qMk>q>{y%;5GPvfP7w$AEjkS|S?U(UF`(6YEjDRu3W^zy4SbR#p^l!9eq1S8dW zdg$#};1kd|7&I=CB@WOBk34uSq69-ZOR~x-2e{t7>3f$FfgcL%=X5&IadL}N6JL-& zxeNlhK6h~|ywV~}${1nSV#&pis@>?<0jaN1A}wnP62yA_gbA;ETe1Fd9uv@+y7#Zi zHOwQ%*%6ksOg6Mi#iw+6J*~5yZn3Z@smk+eayH6Oi^U;0ya3vHmbmgvmfqZb?Cf2# z>bP0Al)f9M{(+7@pr$?0Qqff*utQea107j6Ai?FBP`iBNAj;*#p{N|aqx+a)3XGQ6 z{NW}!@@atRbCEh5TMtulAIT{LTX$B_feuKhedHzs_8ES_j#vRRt%HHV%*&YtKm&eF zlzwM#@;1OfmKu##+^lS0#lm}3-FnW%sb_rVTa`$RyAZk2tz<$cuCg0L{**K?D4;E> zOJ#2fQkv2WrAtb)`&9;0DRXhy?vKWr_;v);$e_Qnhc17Jt_A` zM&ed)>1;quy#ZQ-o)@1uoPx4JI`^Ki*T7&l57xs zL9!l`O!tY8qv(S+>{Wt0-`#wp>rMNyRPVvd#jlwn9;L=)ax%OF&j+l54gvgoKn#uf z=ukffYvwPHAmhbjqKiB5E@82!E3hhmQoctDP+eG~V{tP*_W%J;5}llK-F@-#ZZtDs z!cikbq6SJ6c@=lR4n&2W-H}&)jDYrRXO%HQ^#Q*VOj81W_oJo^Ak>}XG6n-`1xCJRV#sL`3na=WnH7E>`EtSuJ$mlc2(|n0JsGC{|Sy zqqe?)^2Oe?D6dT9Fm8}GR-dZTHvo0RId*x}?dFeqLNCX|Do)X=ChN=?6W#W$+w2p}4?9VRlf&d;RO zi%ICUK|f#wKYD(7*%vAwE{pWN)%x0;6G)kN%9V#;%Zr*jV@LKJfx3?vzaJ^CiRAAP zbpgkrLwyOPKaLy=?H9#KV94x%n-%wOHDDWi2P0f5MW2QR+5LaY#AtEitgud>HTToQ*tQ2=lRgsRY5BG=w|#OO#v zT<%;&#ZG#6K_;BTCYNt7L_DYq5Q&9|1846M7t{2fT~PP#pK+aPSIR~u=Mt@2L7SGj zI4n$2lW9P9gOP254Lo-xb$rlty!A{RKjN{sO1@#y+n=qf!1Gt$jG;^~fMBo6PmuN^ zh(@Dldd+5-_5%_o#0jWTO%J{(j z;JZGVoGYVII{`HuP?lKjfh_kN3fDx3t@ji|O#5MH80Is~xXcJJ&k3wMjHjiRG5Hn| ziT8O)l6P>P>9ew=ipbZ&NwsO0f~0*1DPb2N?#TY9hf_}ifg?B88>G_6RF@h;r3)v! zQ`*Bq%S&^jlnwv_vxLhGX}x*L5N>qdyF3er{l(Ec&Q}9 zdPBP{OuH>B>Ghi4(qDDCZP?Y#WH#HHx5y(^wnaUHi%N}mK9|pp z?)@Ac4e`Mb@yR%{w$EWUdtvL7jj8N=LM@}hCE&vLau$EEqIRZP+=W+8(N{a)Sl-mBF==ty`&-p5GXI?IPlx;uo~doIP92L zgU;ujoJm~BlAN9R*8xaz?A3sR^vj1p0;{MwAO|{_H8{u3l>h#+kg&IQN#rd6!3*W* zIIBpUC$=%9meZUadJny*-tW2NKYVcS;QrIu;L0?JD_X zPGgVzN%gE7@mp$~YIPZwW1E6~OkjS7nO?e)I>XSeUZO2tK342TJX}fEnoYtvNFeVG z6Fw#&Tv0H33jRK_F4Il0q!6NYPPl}g#n$eN25!Y&VPHk#1ChBDKuR|H4>}v~vHzc- zCxzm&=`Wlah}4QKX9mddNJ6|5p(XV4e@N{sW_0WBW)6%AvCptVmgrrSnGJ+G_sM-y zInk`gFonSWMZF5bM$D6eu{K{p;E1?R;0vvD!lR}Qlx|4>kA69QArjO;6EEzzV&$m z(F*z;f_onswaKa7`u#ckcfaN-c?nT&Z*V`LSQ z{=GA*ekJePTT(4bt04l;_^%O1U_dP2&6T64Ym#QAG<2_x8CFDV0i69*zxLmgl*Jiv zx>Q$#?TCw*G<^PZRyACj#@fX{sTR0INhIwA!D@SZ#Qx9S`Auc^4|qPNTkAX8S0PB2 z)Kw&UbM?rG{HWmn@buMjQ9a-LbazUpOGz%V2+|$W-QiNwC@I}t3QI^Mp&$YR(%s#N zuyiUdVDTN^uix+U=bbzEPMwMKJZH|4s4}exdLBbneCFE8KosooU|-ME&ob3T-tL=5 z4^3(6GuJ-XwOh1+WmL@@xDb5>zHg9hscCi63#F6ern5f=DKDbd@+sSUkC1gzQ>~Q# zp>QJVr%|93H(tgg^xlXY?Jqn|CGwtr4m+ozY18!XkZE(;_foGN-%^*-3d8_MR!F1p z`FESApl!&rC$Kim`iw+vygvEp=`YUqB$FCzv|VAxb!yO)_wh{JvUo6(NA z6i+P35EcSlyfw&wKatTyQuallGa{|>CCzgteM~TSSS&oh>k#Z9R4+Nr88z}4Sz|J@ ztGNqfa?XaB9{YEezY{QkdKUUFC=7ZGu!VF5bV`fo8;58)!)u3=HbRwuhh8CNh+g&| zqN2IiMq~e;8u;C>6ZVBQvLeEd;q|;crr$?mLt>(BZGFErlQT)lg27*17r|+Lil0;E z&I?@(&0^Ceq5cy5^rbGJf5ua$`x>&J{CdU?TzH}i9aVZ%WVc=Lsz9-zAXGikg2OKI zOkd+IHSnP7#iYTwJu-_t9xog4-8r2ym+Zif!Nxw%qcTC$PiYJ{M`xVv2F{YoHR}$I z-ag5X@BOcPeLeg?JK;w_Z&WQO# zBI4h$I>7}YHe1?FERhlL_b|-p7&F9MH!u8E=t1_@1+Q@JW zPi|4=a@G-F8YC&J_b@BPgsL4NmeBWzi#aYMr}(evHx}#5<7uqT?bxS3^k=g41cQLQ z4(PBwklMBhBeDNAd!nJ3I&!fALY(5hJwa$X2XcP~qB0H($M_mUp&()cRz}Lb7LH67fBK*d4M&1T%Ztk8w=iKPw1m1<~ttzS~33$s6d_~`T z*u0+tk;+6~e>>7oETRr_cpXI}4+7+5=w)vbPF9`x^1eTDfb0?szi6s#=vL`qHAG8# zVxIk^VLcjJdafGcWvFw^(v`b#CGHsHMKPMNtd|yJnYvCE6Q^Zp>j8Ccs_l}0UUt|y z3EUd{nXzz~CGUD|S1I&4pc7ML5#RfsHapilxb>HHezZ$8-d7MZACKhOlen4^#PTf|0WKM12u zMnhQZm_Cf4X|@F~yx?ZKsuWP<9~vKe_aKbR5@yV4CJw^ne)3!J>0RtO06b-`AivVr zO%t7X5?c@fu!%tyG06V8$IvUL+meA&0O71i@El0-) z&v8Vs!{OrwZahnTy(9GYOvQ$4jKycR@#li<``-2P*U@@X!M@S7_%wW(0eyv?-s5N<$vI%tw2@ zN%!thCzao>`sHiV6}V_&R^l$*p~D~nrkC-ptXYL$MJMM9c*AB&nY1iN%e7@MYO-n- zhNc7OpCi|{kA*m`$@U1xX)FUnzcwo2p)Thc@5@_W_)M=;DRNe}ug0&^o`0YQRtb^zPXy#@cxTQ&J3Sx>MRPsn zI>}g~-NOVwkr^+W84x^nIr_jCK3?@v{c?Q)RooHdWn4x_^|9SHo*_%Nk-Px4lE8SM z3)c4%1Y4E*S+-@W1dfF}a1dRM5_-%WKi)>0+ai$b1o@$X7h(}Vb{Vcu4S|9#44Eev zu%HI61j||k%KS0Q{Qs^Rc&oXgP?q`6EA(eSkINGvuU*#DkH4Cc=w64Jowh)s40`Ege*SNQn z;JC!5GL>sxyKp{XKWB6a`83^lzX4uC@-}Wb{tkPT?Q0^p#=$;PDAqkX&a#}P`}{I| zH4*GaYi)x5Z_Hrg6_oA%^V`Eq-$-MhLDpnb!#rwe=EIaq#M0W*(LASek-BGBqZ*4w z|EpqM4(dr1-2Iv`F+^LS|AnrOw`z`X* zyGQujh5z-DCOye43|yL+NEPD!JA8p1oG6uo2p1NCi|+VC;vGU|zWG}-paWM1S-*{LS~(8P_l zPla3$B9oak?|5+Xl*%Oi`VC8(6|*Oy&bni^BP5a$F=|IOp&4pePo|wquxw1# zdz^aHQ%9tZB{aUhrSZf{FgvyT`Q)CBbScx>j~5h%Gbu(}d`7!`U;~w@!KQTf7nvj5 zf1-IUe@j{$n0wfU*Vsnu-16zX1flTkje7EnC?iYFThct1MaaNo=Zua)ckefH+@9&C z>tbxL;X=;L7wKrjq$MRbnI_V9tA4~$%5%&XEZ4LZgfg0qi3vQ6>+&0(x7}`byPI-F z8P-*%-e;se+JWZBJRIWxD85fE4Zo&j>}E^4F2b}q^-u6)O3E@f*_aNdy`TDSliFsx5fXG(1lUe<%#@d>?PP%0(oVXmssLoO65Nyj# zFQK-_mh6d1FFBwYUMzxKV9D1I$jfo>=!Ib{Hk`df8LCE2O?BN}JVSK3BW{qoQzg{f zRGX+$b95|LA`fW-xVV&ofcS-ml+j9hsmIRAaJ z1eWD!xHr^4uvWEwcn?4CAh>AoPY~@9oNRKv+)H;A&*w6HJ5g2{IAtuKSzW(>JWfnT z1Jiu`Ax>{yT!1E}jWJE&{VA)ZP&tR->W}C!^rvHI(w;oznQb+uuDp2lH8zi3%FnMJ z(fv`!KDIsB&gOg8N(>-c=ju+fMU+;lx=y1Lxl~Cq$nqxH!v)s$?Oi~y*(CIvW9O>^ z_m!rqI*M<8VqZL;eVNu6xOf*C?ye{nAj>FBPZYhh1^@Nnlc+6Sh*+I+-!G}fY}Gk< z1{bA!lyHD-6)Ia2P$J($5$0}~umIVYN_w3jR*yHTCTg-TI=vAVJ!r;8{aW0!^A9MX zzeGwz!od6U(|tqj`vGWx2xM#&2Kkl`rpBX+K%pr7rsS*gm}JHKFtcC(oE*5Bg%yWh z&kC>0laftrlj!QR^$9s&+E-0$6z@zlNH~&erX~8a(HKE!KwD*~1IrsJhW*6SJ)fmd zYe+RBmcOsZ+h2yy9T;=Y00*)@s_VH=KcMGmZ;x>nj*s&6mRS)35BRWxk-U;W0#WL%tr zO$JjKVC)ZgN%~KMc+VT3|Al?E4ESc?qeQ&gYr5;wr=%`$C_pW?!^}S z-_U5HPma*|^amVS{vjg2k11_qZ?wEY7*9Ep*_Re_LM)DuX&~6tS+}LuLm835AO40S8aUQB|a_{WoI~n4Iw*!|2h#;48xtx*3AhAvUceAly zxuCe%E*o#{RrLDSzr}XGj+2Jo&MCc3oWd*n9Gam+ z*B`U0_GTLY{K7v$I$ewj##x{<(?Pkkhq+8si=lK5hvkmMg}dv|kvNYAWBopEDtOAV zD1x`!N;ekMkT0yH{BsxmNJGS#q7z%H{0f?k$`%MURWD%SgrB&LF_!bxbUCcLd(R?l zfBqOab{#uLsJ11y9M?73{%k{jo%RY|BK5$kk1=AKCI1$`40QESyDsaWM624Pyok-q zACUUyy0Kz}g7^1d1hSq1*Ji0MUFabm0oci3?d^5E;(fO+MRza9*quEno+v&soU?YH zS{s;RglubhmsPg%zM-gy`P2DKVDnAVzzE9Kl)0Wh@2@TXb@b8HF++*gR&O@4m{9a2M81PPOkzbCdH($ z*jwU)#naz63aI&Y$A*#x)Y~hkxOd3g z{D)Uxy8jgEjfs?O-u)Q3+ko=C{27NcIEVe@W=JKnpgg@<@Xn$0?|bF)nsG{eKe5++ zNd{zK50{5*BYevX3$d`=2(Z@B3Hm6cnr?Jbk>8lRlUQV-G&<(%_}nU|ZX>aDJooX! zP#V_}<$6a^<%!vyl(f0csJOOwJR*O)Oe!rGSuy3qe}1jd{MS+HMmt4!_Y#T86s>M(q`zSIai|*>s2FDz zuCvH5PTDE_PtY%qz|yS&$$LdXv=2^3A4tdSVJKZ^lXg2gutKnyHCPIO_{>C@7T?S_ z-;kL294ZXL3PGs`*Ro?(DLtt7+u{T+*dAY_i%)$K3Z>2m*~U3Yi!KM2FE0VPrl=q_Wf8=?y^-h z^7b!-GH^M|NtpDC68%Ovtv9J&4j`$b zSCktielq++n#zNiKnr_`h`P}c0_X+9X%`bgVI2-s|7(do5%}R2v%mwHLb~&k_sX)N z;60FK5@z}#ts*8&RM3xII@U6w9?a5-ffP4;n8TAzKxypol20YRD$jr&rHTEO7QBBWJh? z?(AO_D&y!hhno>51EnF_K9oZZ(;6ko|NY(Z13yXj#dPEAW;C>da=BRc_jA)7GD!Cv z?=R>gKg^;XE3`gEOg1aaZ6hYiLS?oOt7;>_Km4t*9rbYkNa3MfhEqIyfCiTC(A*}( zT6F_<0T#x6sj9FDih)dM2eJw` z&-0K2d4+#PO^J-&Li3*rMi_fFJsr%rv&K4$lBL8o8n4LiekT~=U&VxKBM|X*GQ>EW z>nTY%qEU1VH%C>NfnGx-ACE}WR-l$gs_{0Mk=^}-2@?-MFSU<&93eV%s~TGKN*_pa z-XjM-h2w}@Id~L)FLlnKIl?3-C6 z)BP?i{J-~R^;dhU7k*}nTrd)@Jm(Wz@Q>(-91Y!<&l)Kl$wKMWQKTX$%tKIQ$1pS% z@uYaepnOV>uV5BrtAY8Jh~uS(PpTqBjn7DsO7b8 zDYGtRrcr(U7vPqEkGk8%Keei&``tt5Xl+Q-DhKoamx`^h0RlLY{rg-jXftc$yO)J> zGIm(LPY3@Hz)6V6f@jfkY_SRk2!4zawQ`}f!b+%Y+0C`ErH6whz(HwJ32)u>Q5@T>iHr-%e^-QV zuni#uOZ;Sm!qx+5YEe7VLvCJ%j37*jg)K=;w}oXo&qD%+IL%L;nwe*uPA}|mQN%w) zK51C0^yq%K5iYS64ktTdtdyQ_HEKrAvfp)m_9B!@57`rK%rO879^Lt#vOp`;Si|A= z0kb+(!a*OHl0A=a4WW3vkLk2x<8xoB&w9`!pD0o(Lbg>JHes*;2X9_;`rHfDjU$o= zzj>ISl_?7Uej$UBDmOQrh2~EA?|<9jsl2cwaiSlgEf1)=dR~(y4Pb+bW&YrSqc}~^Zr($ z;+J%uV3aUR>^p?i4tr?NP{ti#N#963R*-$U@b1rIU)~dy8pHE|1iQ!EG)B`!!x*e~ zl(X`jQBX<-TGnQA)|-C|xjI~JT?+jX zSeQRBFgrT02ALH3)L!97F;)1TQk6!RBo3Xpf1{a*zX&R7jf^KGq*}$LiiEDyO1|{X z%0Fl--BgIc^bN<{7^B7~?zk!#W=&+OfSplo!?$6iADL$)=NqDINl_iR;lgKK`F-f? z0PSeqi>ZsJ(UkPyIFkXcH86F(WpBLU_PDX9zg*SACAe@q01dOxy+_2FtAi5dr~6eZ zwF>F7Iq`H`UOnW~5q>j?R+UEgQ;!Xh_A>|HC`c=XsRCz4MqV;S&OJ2R7hQd}&NVj$ z^F{1kaXx2y57LE92ixSJBCtm&uid>jSX1x~nrhU4}nNAlPyI;HGdxNt?BOi;*? zNbhPv{()~fs|p**MN(A3WcRX)S**y^Dhz;Oq_GkY)uZdv9?`TSfs4qGIwQ?ZzL39w3bq;AvZ&zKl%-%uq<_w@_S@8puwSgGAzR1)V^ zmMPki*6G?f1TVz)&7km==T!^iO8m#^J--6R_PNd4uo zC`n}4#} zx0){giM`eDR2uokQSk4{Oa=e%RWi+e>K>EVf?wlwf;8LUFdM{CD7S{N5-DP)r718Q zmL^+Gz`L9nt|OfH>1|_L&4!DuNJKrW;Ri4H7B;sd$mkyBOqIBKTk`bVsUIbTwy2rB z2#C^AIJIb_GxeuvKV69eW|Q7Uz>J72HwUY8!yDL#B&Op%cCp{=rQ~r(ma_z}gkx;P z)vD^3Vd0A7;^~uWIm?C%6Izk`mRERXS76GcQ~IJ&uCM>v^3;9YXiZYc`gX1dt&;A( z-NTH#d6gfh<_LXt#UkrTsR{#yb~I!XRBC5?(6|`xg=eV$={OylbzjEHn}|#zD-fDV z$GpXmN`UR{+-G_WXa`_KAi8O6>Y+(~y7*)mq8*UC83Z1g=9LG>ygZCf)>g+v(5B=i zP13W~xMx5tUYpEBH@hM*Mq-(ohGaOmTs9|T@HX^ssET9!bj_qlMs9Ml>(QCiv*=LI z;?RQ&MX3m%t>S_&=|rkkGE(sdiS_dwIk%p2ZvFmRL9;uA7%%Lir z$Y`Z}1Nn21a@NVCUe z$9Ee>6%OQvkQTc;rB)R->#iCV7cIpYDYbbP{13&oAZJZK8aHk0fmYQo?3+Kaznl0u zkOV6+2U;~&nArX-rda}>B-pn(3cbT$aL!3PKZI=*5)9U=N?J|^p}p)&F?+_-b{u*wKoEWx~qQDd82R9zOB5)q9K&^ ztd#133hYb-*I~*}CB!SAqfkY%5)&(&)hc7-{p#UCcWIA81S@ek>&7uT^iDM)$K)eS?l_J{0ojUe z7u$&mro3A%-V2QXC6P^3GY>h#p3qgbO~*F z71{+kb8ni*c%~N&Cf-o2*b5nM61C$$E6(9UJe@$aV^;JmtdN<0x(PIqdO%DceOFnT zv5I}PIS4AK2`YF&{P7LcmoEH0C~AuN)47PJgF{)reIyxc0uW_d1(W*;vbS_AGVFhd z$#eIG$gyunw(nuyE#*GuoQ!1x{t%h8n`b!l=wctY_XeBg-@9t>QAo8PiCx@Y$`OI% z^5m5hB`vMHKZ!f8!&WhQQ=y&<8>-ccxTeK#@}S!szfp!Obc6Xl53Q?fuO9r4tXb?~ zUQ0mEK;qshc4t|F(8({N0n1X&=`fn~qZp~quQKtV^-IO-Gi#AJNBiEPB@naH11u2o|tw* zu|PYsQPe&+;C60;#Qz?IJ(R=hKvtJz&p=Dg8HGZ#EBf)Wu|(X=QVWmA{Qe*-KYuaS zsiWT<>@l$uNUJJhdbQ-*(yXw9|e68;jE?4#}R*O`kcBXYQ>71cK^D>))r$ySd&MZ|@N4oEtY! zkhllEyE!wZed(Wiy5%C2_u8W@ zSBIAuJPW*R0W?`Hg_>G~kHhpXyx*EHsarC;8yu2N#*v(Cv9LvC-v!Wds6CD6$9Wgho|6Jd1cjie&qkpCyArfDdH8KY#$I*QXYwKqFenHN@(xDq9Ner|m}6HNEvMTNZ? z^$b~TzH$jKaXIhzre4%i&e;Oz$BJfXXO*a7PU--UgUiX_i;y3eQI`gH9hU(J58}f1 z@wn{l4fe$wVC^!2SZ%FHS_u$dJGWi~Kb`myiQ3?#!jh#f&sT?E>h^?!CFBfMM|>hp z^PMOYVTYJ&S+{u$_&`|oA4#oj~x&Vl6m3C@xfl@ zyYNzC&^jPuZU>i@$*|Bqkz=1HY(8pdCZ>~$f3TT~-+`5_avmhRtg28jV8S?Nvf{oa zvN7OM1qV3w1erGJ)hP>Y%hiik$Gn~HyfOe8zpRvO@hC)-v*RI#^MFQ&wOJWc zm>*zPvI&?2dJE;2=iOQo9!^q&WOjpjv?IH49^MuIqynWAE?EN>HiQ=l8$1Da2cZz0U2uW;E7zO+(5le%2`3WLlmw zlycZ*0u*HCg@YL-r@URZ1knkr zG>`S8b9R~X7|!ri1x&ZZY^7WXgY&AG!nwVI*KL(NYj8zc@kf=QQXSUCVdGMS0%0or z8DyVF#mgzx{;7-bf{2yBiv1&mSGlbW8|3Ujv_G^~lHKRZezuaPQzsopZHrytnNr#_ z6P9yEN8>L<(-Oqa;;^TpsKl3)D2YfE&X^{xLPi1u9<=|S`%vp8B2ZrLB$h#6NKFk5 zWeg8J8&b@Hwd74iDr`3j)1KSYf`*qzw0&6%YAf7gvLBwo8Op#_0Wk4UvS7V~5o~+L zV<^K@1u!!{8hSX}GbAdj|E8L0KBW#(2sE|o+@}m>kg5Q+?HDS)%WqFZ)|!i@@RmSf z#l6?$-_t@(Y`k!DS`2>>x&{oiM;t8=UXVHMji1nsBcxZ>^ubTsinMj$DBWi8*}j~c z_pk4MOwQY4OK0{=fZS?Cf(=upJ{R%N|1N!_ZP7v3NaYy1H5|GnM+=_iB))kIjHa`uoqJw3F| z#06gyU6RJ6rYUS*1dyO8TKt$VcWwrx7Mblt_4v>DOC$jiwf97_c#{YyKk9N;RrZ^jwG2C;x4A?ot4)4c~y^Z>L z?-5X)E)A)PImO>q#=r`P$dSt$Qc&~0JfyUS`bm|O!lpXQVaK}gOp_X2@Wz6ocm)%T z`5~9YP2!)?o8!rXnk3p=&4=gquZOO3AOCt9gY_a=mX^;TS9FC&tzmuOcQbkA6hj5+ z+8nc%VT5^SWl7qNW-8`A95DnBqw(y2yEM z@z!vB^3f36DOiEmLemOTMQZK>dX1Rl;5yutZv>?vg3t03^5>lAez&Fl6gw ziR5651hgU+$us95Ak8E_K}$>yUyp_uUj2ELYMVoo2qZd^q-Cy|XK+Y5QAzuWrcH#3 zt3?x4A|b%=zF|Ggj$7e;?%}$`EVWy-lBh5cr@PIM7$bwO3Bn^O}=~z?q<=e zfef8{SmoGhYdTk5F|vFK=gd0zwjlPSyPgERYzerMJGFP4(ok~MFV4mn8?aS#dvE=8 z874Pjjd>=ueWYE1T+#0S?;m*fmDxWZQ!qA*N|Mm99K0ZqB%zdIqhmxg~~Oi z=fA@Gx9t>{4mYRc_7ma;@dXbqAtoDPF1_el1L%OE+%Kxw?`oV5wji`B4N2swzYJ+k8G`dL88kQapw!5d0yW=K1qBmJy)vR}I%pX{@|3EV~WcYqk+%$no=nc?a$q4d^HJ-7MD@ zcqj5`b&r`JoIo=K+fFLuv^QSue;=nIz6!f$kiIo*p(3DMYZ7fEw!)j)r}HZi*RGX6 zV692|f&Oo7@@{PVR;bQMCTU;kk|hlbOfSdP-ihZb6w^(jHVU!V_4Skc6BYKgNv5C0 zN{K(s9wVV`MR8K~Bf7S+E?d8uamFU3W&_Ic0W+$LyEyB(PZMq!Q*3ZzYq?YPf0KPe|$*#*87lB;>L1mUC&oH ze#?w*Fb4Yk<r8{!R!x4Z*^lBM>>y1-kz z`Z|l-Pl4htnt@F5i)M7SzJj$50AL(O55zqAK)4oBgVFwnzpcp?%D!2Je8R6nnzQi) z8kb`;q9?0|8t8)llMm}B;FYp-FDO4YiCPm6OST+zbghXte$YQ%TS2xbfb29P87-rR zm?yvvUW^`7iD;j}tN47r0@^n4!(!}*EFD}Q^@#jTHPrdgj3R9b(G|qST^`WFP|!8nxSNVoLFvreYRi23Gs9 zZ1s%a0;|=jN5IGc!KS12_eHEpaG-ztap*u3h^}q%Lt8Xz=e}5pK(NIYzQ39rJ<+uB zzt{3i*MW`FJb5OAEK7iK>fA%jQCvVIh`zAsonYH@oYB+#YL|@qkNO5*X^HL_se;nel*gXU;yh71(&$#nr zVzo5=Lw?1g1jqRp^%+{(>{Vz+#kj~r>IN<^&>61aLdH=0)t*|`ch?VRa{eJfI;|q6 zC${&i*^2c;zFhUBpGx}{8vCv+=S}Zb+=RUkK5?0X553P!L#6_DH5Qae1Dexa`3sc) zF<&BO!rv|BCrr&$NCsW17d`CzGi9FYkcaT6eBC4>D2;M=d`yn1OW~TYF6(a=an2Wg zKF0odaaC+Ecjn|G{PG9Q2sFdvvnFY1E*fa7#MYB8l*%TBLNYe#$8sIUf|0Zzd<8!^bS5Q- zro4Ap$cSJ4O4|~Xpz8cZ_Qwa6mqk(v>l7aV+uf4AaNj8>6pWwm+x7`cgcGqK?>gh; zkbo1v@RjyM%t2Z%4=dVb5m^YB*cqYGM;3`k8xIz8@rlwa?0uOhZkql}LJa?wLdpc^ z*KsLK;-5<(x$bz7zN2I7xw@zKrU=Tvjk<|{Cm@!}{GQO4E#PMO0}0!Gy!ZJ-{I{>P zt-hY+_Tb=bAKjpN7I1$W1Nj??xwss1p4J7L*F?*v5$F|4MA^ z2%##xSZBG*)|BcDk(3XUDJN+D}mcP@>kipGI4BNne?<{c?l+8UqN2W+v64j#(S{tS{_$w^8HF5Oe8&tOpUM zf9TDvFI05qR!Rf&)bD{#O8%pTI5PGj?jl=yq0A@+Op)j2(3TiO3}&erClIb01NDY^ z`?VyQkRvB8iPeFy1HCY~O7WBVFNll2bkmu8E1ieZZ*ms=&R=i znlFKK@>t3wIW5(*CZYm1ecJQL>B*)7GK%`g{@iL9%e624dAK=EJUM)mH|G5ywARVU zrwC|H6dYiz55C0i^!<~IIXD}m%88R^RPQjS79swjhX0=#2QbqBw+8fDdkET@r3(y6 z;G2_KR!Yb5LYLux{N(V**cl6c#$QRkG_nTwF7{^2iop!)hf`&|KWuchNPVhktH0zv z7$W_;A;2gSj>AM*3()R;XN9hqh4aE@)*(h+D?A>}&*mJR0 zQ=hvceuBq+Z#Xs>C==xoor!Uv#UOKhpR}D=BnLf%k3BFrnvQ2%rBn8UDmy~{1?fX# zUNx4jzNQBTA|t2!#NeKiPT-J5ScGM2!9;{~SN8=6KH7CT*>!wi23i{p=xO&V@~?Yw z@`)C*Kz-qn-@^k+Zt4S!Hb*s1$FdVZJ%uTg7mbtp7r0S0KQwVjhSaPYb5$jS`Fw9{Qo$k4JudD3ri{o%wfPIq zKO_N@B0=>sgI&EiHpRt58p~RQ|DG8SShZRIMLjT*BB!= z<0diYbb4w~6!}#=!%-EXXK&0>b;bV<6Gos>c$Qk2C4)3iht71W70N9q$ zH#}65+Sh)7v6jf5quM~}QFZw)5Me4KJT4>i_0Q%Y+GbNwB5Qr(5AOMo)Z5Wpm#K1hMXI(C)A_03HrA7lJPy1d2D6%h}*-u@7i;|Jl>vE`2ge2iGhV9J|y?^r&Deqz?h9|3{1>cf_K9*QJ)WxtLBDeGDC$1qG zm`Y<|yw6OOMw|>i;{&%S(yp>xc3rSw)im&JG&xm*A4w){2ovE9(w&h!zTU`mx>dSP zKWHbgL;U)}Vvb9m{6U+EwFhwksfC>Kb4>mpnpUUqS3qa9Jk6{ZYk6XLy19nz&)oob zV746GYV=N7=Yq`cb`9jZ5~walgmf1)!V&|?86zRMS0^Ymf@fvI7_LXfOa1M231amL zaI$ud;LZjfpK1J=KfU|+ljq@n3y;@-CWU{nTO6w^yat&E6IrRRmH5^)_;OSqDTR#w z(w5L0jZ_j`(-8b2D`+eDE3;LFMu~E!xhbeu3|QO(ahQWOqUdf$2KLgOl=4WIFLcq> zO=kG}zbw-PgQi9D$r@sbK>s3npvA{Pc@V3Pq$Px1eMB@vOIr}m;)+k?ioS?%Ig-q= zJ)M~FqUMrMVP!_;rgq4#;JU;>jYEHm(^V?nf~JeHy@oRs10b<8cu>`50ljH_=qerR z?Z?m}aOa>k&v~e*3}>jFG?nHhL;DjPmAsEk-sD9+EY}eDjR27o#ISyJhIj16tHwx2 z*miGEbRat)hzh=?*9mhC((GXH{;zm{PCY}hOWny5V z9XjnED}|-QR9z=-Bw1yK>5gp?zjsQDWro|s(uvhs@Anj)YnNa7mD$rW!!feMPh^IF zW5;oNK}S%^WK_*LKEt;Slta@CH&b^x{|>|T3%A!mK0U@<@L@)3%V%Eg=j;v6rq5uG z7<9OANyJTN3nVM`)#3u#9;W5I4p&M|_b^Pa93oaeP5Knut|@Y6qdODq!h3BUohOm6 zUCK^X+el*~G7VIL{01K=p01aBseSNwyCTw3c4txX1`4hgG2L_UjRs)5wBH7{f;-HP z!n$PsDJ>CxQz(_cHBcv8Ss%6|TLb;FGlj`(X*zI*Ev%kS#Ail!85}W#{WudtjEJTC zl0z$#LbOHf`S}LHFp#rqTylG?8w;C^dn$xY#TxJq1{ta26(5J&Z8C`MG614xxU0TQ zM=9UZZ9je53q!9LnX+>9#@>MUw~^co}(ri;EoO1&reY3T~W3wFwN&w0hfnbM`^NX)narV z?spViHNbw|6kkwtEp~={q3IXea#Twq<`Dr#Yi2XA>@12H@QQ#@9^K;`u=RelgfdBO zO8CultprCtqXWtx!6C1nCI^vJ+MDX=w#!%E@9ltUswaD*9R$d&Hzo6tKwaW+3jgP< z0E1aB2}u;H>i}hLrfKn87!K;qNLeFE6bitW&r3|rHDedQ_0cd6pgAmb%9qbe*&e@ci2yjGPT_qMw&D|A$k{?}r=cHh*-{3S zq{fthy*R;VL-HfshvR<2qUScEGr)|=Z4MY>9CU!W6_Gxe3Xk+jpUV}epg+Lm!ucp% zf@o_D3z}cm)#y%Bj$req%_Jr1m`Q|HrM8=5hG8j45hyTPISu&aO~D`Z%WQs~eEbcH zetYi`fPGZ<;qnA0@70@MwJ}~C9v{X7{=vVqSi9rY8uSla$w`o5bj#zX2vmM3Yqi!# z-DG_6omKqQ^UlC-^(-Q0MnfiB<9$g56J5NOh!SsN9Tp0VK{e^jb4gIcnLK}ph8_d< zCcI|wG4cUqJ}fiMVSs5mSvlP<$UIq4qpCi4OW-V7d6R)@kD<5pakjZ`D#litpR$he zzjNt`zx?f4kUyngZki7_&kQWKcO(UqzdV2?6H!|bWHi;4);}8ViGyh+miR=bL#;sMjpOnNGaoug+goaY zWnfP%N24x#(zW2V7Vbg`0odlKIql>XH?WEdNs0ozQ`;D%g3e@R zRFI0;v;ObO%G%Jg2&6)s48%d|wb(O7@gt(^8QaKEg|cB4qM%Ta=XPbP;qAVHh0Ev4 z5-y$*nwr(vr;_O(H@AF1`4fReSuoEF`HEt<(G=c2)&v{fe1^%nIEJElWjV^gsD;n_ zuB-{UHL^f}Gx;{+UP--80T!u?ivyLGntDM!dG$gWZ)WlfOfZBVm*0ny+*k5hE^MB!R|wQYT6i zK?ClG3BM;FuZi@Omn8iGnGlozG+zm>k^i8N6U(f5wNAQyKM=t>Cra_M-ZYMdO{f6bI?QaTxiX^kXdZ2C6 zvv20jgKCT0-&nTdM^N#oDDUqFQQ;rT!Qcm;R=3?AQ~5?^sj6eZyGVo=a;rlqV#C_4 zgB`A|+NbAz+wAU?xpNEzcHq|#Zk4FiLZ?%v|9f&;zeLBv;Pt_P(c<@br=&O=p~VAw z__sIz;7@liBzjO^%oPN$$6Skfeu~_N_egGp4#uLZyr+~84 zH5j0XvLjQ_3a1K;L}6q@<8+W(;6ZyZak`!1^^l3}>fQQvk!5A)%_|Bv>DWsi%x|k3 zrB>N)|1hJG{gpEqLuqRVZcr{{cnd7p`2Fi)LBV(Kfu!E}NKRnCSH*kNzvO(u4eQ&n-# z9u!H5U&Lw`bpU(VcMyzo2DTv%Y^mF(wqc#zNF(|h6$An4J{k@LlyzgqpSjxC7OCFRI(qX13Lf0o6{9OdX$%FG$F$s!@M`^TH5tR3K|}b$3}@+ zNzn=3NKCVSEw?=eevxZbN*2ZC>;h-A9j7DQE-uK3c~dAY*gt5ukFGpYR#;+e4!{Y(U`IDBz}0=kFxFRUf|fnl9p;O zav}VWYVwqt@wuXeAu`n-oAs|RL^v*S3<>PVB;^^8tHnx)a)96wwz)EEwas6=^LF(^0$Y%YD5d$II_0X?9sKU9vo+hDadnziHLS|5IX67>-fWTx zRNbL~+f2G+K<2LxGWXX5ep_=f7)t`i-UP^pqz~a&3d@d=Uw9|3QG?kTSG^Cfd}iNJ z8+%73WP8u|+$A43q9@u@BuQUo(ycL?y+CeB$d)!Mq0?enb1VRO^mr*1zC5&HS=myc z4Jgb>|B!L~B;Iwr_iZsn!VM`UQba$4?@0(mTl37=yImK?n&&HN4I8ZmXLe&8U(L-F6b7(}?uT zw)V>hpJCZ`#)BC41Z%ojE&A^E{T#}cy3ZFSk>j;dho#TiRL=v!=Uq&V@h)`dea4Ou z`9v`q?dE-fa(`itEmihDd4KJlJUbbyxRl6}NBD||S?9&7uTQq@myV0)Jr~>!?{9{g zY2}qLk_ht+a(?07$lG3K*@P-{+{ z5%&=QT4WSjwT)_iSK#Q3QLF=T6_JmL=xK&@`5gVSqd>5227NRo??NPNmILRot7`A! zXKMN#V>?*5Et}ymUyAMBK(+jB)~U(Z_Y3=l%jV0wQdG`L&yAF^Hx9pAGHhQikO?F) zDHF6Z)?aFq8^Za#)o?f|e>&*3HBvph(nijnByVLzZ-Uc$tMQwD`>M7cx$wS_HrgaJ zMT90LAKC1@qu_l0bwsE1E`#X-MdHPNS86k-1^D_1g-!_(R@L%X5krPZ4`f5fgb0gk z`HP7mf7|^meyJ^=DoXH8W{y3H*YU46dA58Chi$RJw*V&uDd_(9uOT^*3}aflFU~eC zR$KY!soLIk6^@sAt@5eb{=K+ORYU8bexN`FA_E$ZWHc&>#LmqA2=$;XPdudwr(nac zzPlhwhDTnbZK}!bdC`7jbF!ZwJ}85055!vK1bV7*!XPOSGHol zX_22d-&~hxApG7c|NS}<1tz?aAfuK)0}#4>e9bRh9I!B7X7ugPhOA#zD$XcjNSM>_ zDW)3*otsq)U&DHGWi@`7J>!e?0N94*GzgWBMvB_SS@LNBqr ze=L6!tG!#e(net4dvbxza)bhQC5rh({-!R0CO|7r;%ym<{|F=JwsPo=S}}4pCbO&0 zyh(XEJ3lETuvnit*=RLB&`4}{&{4n}d-(QCA8bY;*k_iK-xe$qk;5mXvQf5K_-~t> zv&pXaN{EfIt{1+oE>^?EQj>nl__VzGlk{-e%M^-BgN)inGTVzAXt5DX6Glg0NhYJ2 zXa~8+#rO2BNiPMV1I1napL6=rYMlkV6W(jexPL`+EvAg!zk&YB4 z9*(`L`S1>O8_??nX)gB_59gK-!AxYQ!7rJqk;JmQT3a$(>38Zec8btZAzeCq5>7sd&Js?WEkNZW}Z})ld?(&po)edRPfyoH{ z^1dQ$ZrS21(9y`D-F8q-BKgy~<Ta9wrKZDck(Q}`9(;hu%JStaQ?n@=BzsXl~ zC5{D5L|#!|OAIL_O*}1d?dI{f66k-;6~$J3+)=A#F0>`)>NAVU zq!_X7*{{2071F=Q{B=>l(|e;*+6*al>3zmhBTFY=W|?}a0*xYlmaTmjM;4o{1^LO| zvSO&4C?&M8a#bVm*z;nTx2Ua)N#gTD;-u)>(+V8TDbY_U6sGw1_u~JJ-DL<_X&6h` z?}x{sC;J^_)Ct0gAxCNK`s-x-Ix8s3=GmhxxIY!@5_OAEf|OXR+eup?@7~c5+By#& zd`nq)){uP1-32$Vip^>Ln=3~1y@vG4JRqf&weO;geSsLV#%4iK5OW>p<#TDuc+KBT zBBp!!5kn_$T6BHMIB@l*x=aavyLy;T<3{wfJq`cCmEqpj`5sVspbS|vYV)7WE%+*- z$IAt&wJbWPD$;o2KY0T#f^eiDg;G*)TqD|a^hH6oieNm@g*{=1?bFwdltcif9L?*cAbs^f>%}OG3IX0yN z1hegLY5R9g|6&}>;Lpc(9~u1A`4oGS9Q`1DEE$B#zb zY3NMn;J+Cub?VTl6cdPY3SL0IKpRsvre^A*V?R#3WxSwgoMHPZN!= zQg^p*uGpO@?ZJ7A@lZoC?Mrny%o_fK3PZXn?!$)%(gv?rrPO&Dd!2}gtqfR%n9_Qb z(oHNOBt!hQ-V96{!ONwjUc(x>uo6-iOhF%c662qPcNTR745ue1-lp%|ES%3bI-@j4 zhA7yHNgy>IO8%uc`S*;aCJsqDgzS_g!#ZXrY1G>Unv4u)%!>S3B*V|mFys_|#Cm(v zljsx^u1sB@G|UQfB^6A`!Zj1@p0xw|D7CL4dsV(+_=vS-~VA1V39E=6*k1ec6S&LA)|`o`hz`jk$f#CZJ@7 z4}aBN^^gi(CUgEFDl0tk96Np)`=DlC`c;x2JBGW>BBzCzm>y$W5ZyP83%2eC{=Z-) zOWlQ7Xf%0b&hKdis;WXbOO+C>EsfaOpEpRyQR(S>b7qw-CGJSt({M$8hejH2De8ZK z6OKtfe8Iwsf_7IGW+r{&@9q?cwv+WTRO9Fp)elf`=5?L4)A|MKpqyFvkaiaEzrQf@ zTWe8~pvjH=o*#Lwu9dk&DTayH`CjqE%Jv5n;rH8l5olVDFC?M}%H?hQqFw+oITLIp zHn((J2OTp=v`q5zLyiW5k@v;#(XZ-LWw&-|ujppmB4KQG+@ z%9wvRCW1zHE5D2DSgG7CYDFtpN%}$)wdIu(D+&8KL;LkKpQl_qxe)Tb#k!ui*}wxf zsK~d{6{axt`Ow^58IzeWKVKyzm+Qb~n2ebY3f?j)3S?IVD3nf#dNXx@f^HGdhZgH) z7K1(ce5`#1$@)d)bTH`N4-h=eUsU1##JuS<52xuUxV>%0-M}M>4=HNuQHGHf%E~-a zRByZUz??5Ou`uUnDhC_O+tTP!C$cYux&WE%3nqCZ^a69|(e+j8*A~a&Q915~zc-i?@jAMz7GmGG*fKS5j=SKzEgL^b~V!merD8^r@ti6_5(*L&h9|H?#Gmbg$ZT{vCx4X8O(?|t2X0@#3?3pf!wtjVj1!ao9iU`MXS31@5&joQ=y@cq6sACN z?}d+ke{$Bb_H&f-WFV)rM_S%SReoOO_E6WoxWX#-GS{t08=2}<U={mp-}!B@!G&8^g#a<>FfaNF55>a}F1$u@Po2{`P0iru& zBy7l$B3Qw(JKH(*OB3N)oxs_n9emZOfei=kQ{IaMX%QP$kst-7h>tjzT^-j&o&s`S|?#<{%rO@!iEPNxf%?hhSxDTX~ra`ZK6aZjN4& zZNuuJD7o&o0?E&5ppjhed|CbQLMHoj~-s`L_7U)=5(80E*TOHiE&_uc@d zB8V$c!8vE=*LZxWU6WS#$`Iz`%&@dvWI+UZ?fiGM3q87ur9yZrP=r$Y`OuHE86Sb+ z9ql_iiZQBroZ2C%iMf3DOg4iO7(593O006`-%&|udsP%p<2Ac6ezAA_0_L+idU~85 z(xo|a@rG(KQ-0a)KBOkMJu5`!Ptrd2Nm-1NVRu) zoh;Ny(@>@1IyjMLlbR+xeTQM*uo>n>&on~X$K^i>#TwM-k%$HJLBWUbvWYBD~zKEwNxSF?z0hKA{CAHIhurIKL^CTmO8jVsY7v{QQ z$iD>oQ2GJ55s%eM{&*U3vr$Osf&P02H-6jqFDq3C-lJ1t{RSu&huaayGNVt_ggoVN zA33ZwPc(r1(PO~d)>+W(Zxi%F_a!b(5U?G7i1&Qd`P>R%#Us*~tg{rX5oTg4+;qv8 zcpu+jT~AL2P(gk|w=UH7Ucd0eR+88lr0L|e;2G0gzmZd#2&V1?dSg`;P;_}#%9TGX z#kX}B5dMUR1C$q!;8G5uV97vdgCv*i;#Ko{V{m}$+QH2STg%X+8z=8mJk3X*a0#J; z)CAJki$HbpH81G{VMDPU;M(CN{pxT1hr$Q?0`(DPgNDbWUC7Axl?(#|lXI4WGr}w# zD(vEg!2&>f98-@Z5GK-~MYmHSVFE1MBme}SNsSu~L%fpEQHhpL|D(^2IsSv8ukqXc z)%?);g3$pTg#-#yUNsSi3xSuE=n0GnCGPJ5jmk%ShQU)N{~H ziko*yx^O_y6sPb7fd&wT8^@%rp-lax)(y|RN^A=mnyr|+t7>ZC_}B%{Uf6$C8`YZC zQv)6+sKE<-tV?<#bqmIqc02-IDq-=^(7_jyh)NO{rWB~y@j9dhg)cfD9u@YDOGt4E zw|kQp_38nLHBP7VF&eex40*B`7Kk7oDjC^1sznOU_IdJjo9ey7$in)FVTz|E^h9Hs zW)rBM2i=Sh06-RRVaGil5}++Gex+3}CnaLqM`()6V=S&?ERKDAzV<_ESo4+79l0peYI>ilKDT-&4HfIjiQ;I_Sj zFt){v%rj0M>zN+!dGz^v`#9fruzZW=i0db+E4I{1w3USO2Pt}>BV-8l5kvOYToog? z=J5I%xvIFT`TL0>Wm^fO#7r+rt)3>Fu$_Dx;sRqu+tWR>azewmkbx zS^jJ?p)>A<+uHH&{_K09lh|vT46qF<8{jPfr9mos+$rEt1aoODZ`cKet)}vLisSCD z<7dI;s{%|B?o4rf*Yi-M8|v*r_@+8FaEEBQnt_~$=s2coCVDm)W2|>$ytk1iT?c#v zE`7ZPdX;C&1;}2P(lHq=NPE(as->~?rBXfR9R*4&_TdTM*`r<2({-Ce`Q6x1nYaSk zk;3@G{y5kjGr5a;rf9}@boARlgR|drT90RUk5MZ{>Sthx&p}iV`tqgd5L_v%mG_7+ z&^-xo>V$B>1$B$QSj{BFu8ncYw{gYSNRx8&orqvg$ly5Bri<(aLD#(`e!YZfaZ7xK>gdsF*ieA=L=e6|MSLYKIqFCLd_; zTo~`NWUsd_Hli>>u006OYK6|gmeo|SbMMBtEbWghjODcIBgtHH1&X&ae)Vqj_cj{6 z_pvBeb7Difb25*;uH?WX+bo`TijfVAL%H4}Ti5$ z(<#d3(+Krx;5$#1D0cboBJUUqwKE!sVl;$vmrH$f;~8C+e(bWNf6s61ZJ#^3!FVLwWjmCuMpfPH`zd zrFAY9VEts^Ne`2RkDA{-2<{A0@xQND?)KEcwIEFL+n*EKB!*-ca!vRaU7}p}uB}6`k0OU=qd%XY!jA(U(yF6)3nUiP?ozMEI0~shj4xP? z`XT7oCH={sxT?wd9;pF}ZuGS0FyCw>X1};RNoxh~IpDdeh^p|}`{tqF-^%1XLi)DI zbLE6pr^KEwh92;4M5veb>qLP7b(4y$Pu884!~r!r_{}q6NO61hQe7>2!o!7-!V>`D zu2lbr{NE#n=@cji@oK(Ba8%Bm0I@N&g%52L1+RnRpaUUj_wPq^+t9s{5u6x^F z>y2YSDQbW;+IjG5_Qkl@^9)B>M4H&Ijj>;^<;1cv3g61&Bbtkso)m?A;9j)ST!=&> z2InP)9G}c{zqxd0P)`!06ZeFzOr9H-H#< zD~+%(ivVzP6>mU)mG>tLqiqhO?P6-(7ej>f4|g`6IA-OQ(tVEjb&>#KBLe!k50~Ua z!`&)el!Eh<&EMe>1hrRR8~adNhFi)Q0s>o_!Q!3c(8hzAf3~3`j-v+o*v2yWtL)qd zAZ%+z3GCptv3KgF)%qePY&g}KVFS$5mHOn(eUUGUi^sTaX8{*bj07W*{y|Xt<4(+--yx#T0Mvaav}xbu1o)apR$6yP-ETkvAUMWimyek>d0~jGDg|*MICtk7NFLC zEz8|O*i%d1b0KmEz zt$CtAaMM61?5pqQ*3v2SJRTUhyU#I*Y9_V=Gm`Blbzbt6!V~O4Lzk!L0h@b8wT$T5 z;q@ET$GtVVTf(2X=Gnq4GrZWhvS3ENAw?$vJ9|Mp&BOoJ1vfiVBg`uprEU4TngQG7 z2x%)dKdBI2Ggk1Q(>^zd-_Cg`NTM8J7dCSD!>~r3u4sB4voxNI`oaAg*u)y)bF)($ z#_TLho37@9YE1J+On^An<@XS48}>9fp|>lEH^Aik#b|8y+g8M|VnZ@H51+1|Y_8;C zwcE=tU$i5D|5vVNj3hxdRcrQU4=hIC*{v;mOEK(v4;2IS@Rkd;wg5mD56OKTseN!B zp@kn|(s9lheQ0?hTo-xKH~ccBo-7`!J+%j;9xhMq7JI6MUUMYrOa7rQf4%H zpn>1Te{8_dQHn!FjD+*kQ~nyNps8laUkTTkOf;d8ovkG>Ys4=PmHWG!Y8tf2rCfY|Aps?mIsQiQ(B~x;Ogon^f|1TEy9U7JK1_gEHP&hIgWU8YZG2%u&~y7Q zkV%7?upgf%x!3n~C*UZO`xCN+Dk^W}hN;5-Y z^!HA0LYTy((EUF!&cERw;s20{Pzc_;rbGZHvoA`Ac#Rb2{P=wjH3zpDLk^sQ^Y7eQ zDqMy_JuReDq`N!G$!$BCQ!S#v3|}3)WhG1b5z$@bZpPx=b%b3x3_2IEZG~1VbDCb! z1A;S#C>ovst53S35vv&TX*n)tj<8t)S!Sr4fT z9_=~3rm#5ty1t1PCtkD4QJcK5a6$4hC}cjB&;!gs=`mce$Tc8&`iPi2O6jrJ#jyS0 zs)9yiXG1>GDO}i3o4NIU$>l7O)aiWOW^?Bj@M;V(jed*1CMgeDeNWKm$`7u_OUiv0 zMGmlUq()CQv93)Al^-5yJx+9&Qv}uYau56@L3@S6c(pvWysP;ezK`1|s^O(LpV6Hv zAqK8+`i=+Kr}qiHLe`2Ihfm_SKeLRLdK0=Z73O%Dsons378U9)M39h&-o7Wea!tX> zx&M=dtDRkAssnqX;rnPelZ*L=?6&n}NFBOQO(a2p@5YZ`r>!EsX7{X**B<8=9woS2 zrCpH~V4)a@4NznI-y8*QwgKJpgh&3_lLRPbtE&%5ImRdwfQ< z4z%Qer!S(O0(-`9>=V*|5fu`cX`nGuWjokGS$x#x%IA_8Krx4V5^H@zQ5)R+!YY9n zFpq-A!cbWz_|0yy)ats^{$;njA7(NN;R_tXAO-G>j7S!m-H3BG%$LFxFZI6VEM7Tg zIYLRk25M4~HwO3vyQQUz6Kuv!wiQqJ4OWA}qMi}3MJ*JDPTVbhKoXH~PI8)DiZBAV zZpA9WwTS0rp?ty_e0nUlZuj!s)|R8R=XMIaMh}o}^sk)EJTv7+7rsOCySaJF+k`D6 zCDVT2rg(l>azgNfOTx+fQiDUku`!t;%M6@gaD^%v6W~6^#&Mfu=kuMpND?Fm(4SM= zc&NO7cQ`KhP&&r@>DC`3p~qU3gK{#wM@K`Lb>j#JLM+4}hBuYjIt)tZfrKZG`+xV0xgh=G9u8I6l;BY<2_4@cT`8etTC-QZ^vMIiw-vziwo)L z4DBhzB6=Ygl3rtx>9sg>oC17tsZ$CN`vkaR9DOIt}N}Y zXcl7OGP^{UM*bnqG@{2jw!?8K)eLmtHNQDRQC41!OX=-Q?d2?e%4gnp-$k0~2NBg= zxGSsD6@8UvKe@Fc7R$`dB)n6_A*}c{_63?$7?_4HwvQzfxMoVrq{hg!GBxcGAM7NpZkd|MvhqEY z<(-?nU4rq8qj;rdMj5NO?_Z~OtjINvmi~QNnV@9M?A*2ofA_I1T<=M2Lg8YgH-BaU zcKory`H>Jm{8zwhcFga>l;45bTe)Lfi`5a2qbV8o#&XxAv!*SlsYq+az1Q%i*-F-m z)BG!C%b{)#+Sv!+W<3IrsfB3s8(6==3$gwJVP`ZIiuE}D!7+hBU{e{>6LVxi3XS|5 z@%SDD3Zkv*oHljw8d;rJFm11Roj4e7N}}n z3r^hG51Eg}z8M;OJ5*>%Ync|OxS)+*kP}-sG*%bs(q-$-P`mNp27+y#e7hm#td$m6QL8N3}8ZcVc*Yfw*E zqDYEgSL@JtIx1YQZ(W+Ez@l;^(yL5$)jrBdiCzsj zkTv`D@q8VE$pOw;QO-dM_P?V9-X5Z4;;A7Tl$v_`zGWbEE-9PEg-V3r4KvVW71Lz_ zAp$w-E~SX67Kp-XpG+9{iQc@9i?JJnplJhoUctwbqT&U(qSw7_vcDyDu za3a<9cU+S3V*rLRt#VkE2Tp(<=Fww#v79i#EIwfayYLsm@>^j1f&3tXEbVG`q?Ae} zC*lo1n(9^tfz#vke0`pj!mOOR>bQQ!g&qL0o<$hLF=BvK5uNf>VGuyNQdP&yTuNAJ zvL53L-DH3jeWDjK`rP5aN8q~|w4ejgT|W7>BaeS#R~p`M)r{dpy#RnjKP3r0Qw%W! zda!Bmb0Bam^0KD>meKeBXN{5&4Ked+;VQS($rA+TuNzfBtI|Op?_`E$FNSYmcDS&) zX9;{KZ91=9+BpeCh@eN}{&ipIG{by{`Q!hOC_0N?qw&EE1pN&{w;zq7xMYdjp56gP zXOuBXVXPXN0O@s!e9g?^VL@;2bsQu^>3;>oC7u=T!FZ5A3in}h5n*0jw43EToI33`D0gnfy^ zEM+{KxbpAapW?wpe)!{uDg{(ClFNP?WTnk-f!|XP;prLsOY!JkCPS2Vk$n;gv(JLt zmnW`xp31m|)w~H^0VYJ~m%$Q>;tWcy!Er?jK(b8t$KT~GTS|-C=(#De{O~aWc#T7b z1MmJNrzswQ8g=3n1y~zhLv|%qN=HA&|NkBWMq|QNZu{NpM+C23*Plct;ap$H9S_;H zRTA{Q#S%nUbpX-nL-GVG9<*_eD)bv$^kyjmRWdcHd9Au}Apn^n&%!^NQV)t9Bqr2< z(gll2R_e#nfr~ExgwK=DuB{&Ows-7ki1UhnF&Q^F%}SD2O^z4XP~Qj<@s^p;?42}2 zluw+L!3p-ahNRbf$Lru=jtT42z5-#V=c(MzwMiCus02ms4bmTl-)CA({F6bPjV36n zhbU|59(+dprzyVEe|K0Gn2Bg#1IBU+gucJia`?wKtXWL0>Zp>jzBL+aq?x|I54qVz zm>lG(Of9ZTH98i2lK}fd`!-Gxsf?H)-CZyp_+ZSSTLNnlw35b9wd4d~C$5UJ9aNFS zr#VU~K1s1sLTtXpP%Tc8#a>S%QPx*DoqtW|M`5Q8*>_NxUE6vU2WBykm(;(ItD$)u zDs;O0!OKQ@dR(=%5t;aAKyyUJ82&Cu;rr8VtsnGskFK1VfE}ZHs0EW1zVjyrG4%1EURL}u-B_O(rQPw#P+u;!jW{vUs!xJlD2&s%su8Or9*nDXwT!x2R4|#Fy z@Zy#7J8O99+muCl{8y#u)5-ln%+ZJNK(jES5@xj>*0sC`Hk=mWRa^<$d3SA4b&0-!n8Vi!+)_-J#*#2gAkZ8i>?@?7Ym%v>UcR9q*>msn`a z_(C&74L z(Jv0fF0xZ?v)NZ!`tu>{5F`LuhfKA@_O=SR)S`}Wa^i1M=nQb^%2m`gc{XDTK$!|x zBs>muyc#+S5zFJ*C_5O>Qpoh~5GHtl)26jSdu*q&nu{ZM=QUBU zcW{%UKvYBE4z9qJo6B)V#};hDB6QPsD%DGC)kZ0|LYD+ab&wAAcf0d?*?pcaFGt(d z0&<;b=cddSl_bf&{Dj*+H2q^ky}PMse*r10Z*cCKY$QtRYrj-@nEq@UZ6-FC+%h7M z8$wagzJK~bcqXr}EmLcAI^+fLEIQVUe*{6K9i{ip@e7Y5AXM--2ntnJV1MvZ{XV8= z*?punw+3E&pNT1u>VWqBX0HqDCT%K#3i5ZV5Z52dXx7vaY1eAO6626mxC=?hG*bNFlYI?I#fb)b=lwA{xZ71wVg=%SriLrO1YrGZU4 z9bSB^cv|Xc?Y81d7Y1AuIG+6vriTC6^uAERj;xt)eyN)6dU;lH9QgOM2<3mxJ|*Fp zFd3hl|2LK}{@JvgHp*6sVquK}gyGsWvoiO=VDhAC&Xr~nui!_(q5IqUQZ@_;wr|ZW zRmH7+E8>+WUduVyss{B??DurnTrXSxvfXzh63=ZxHwE0XXO=x@9RM6NJa>_2S_yu$TdI=rY&1EVq||fwg0o6*FJH&34VFb zWms!6cq=VR)bmN=O#>1joYLO}Z?~O93JlOc<4D%Vjvsasj_=p2LV0;kkl-qiKs@|A zZAgW;;Acr^d1byp4lt;j!k)ggV6hxdr?`~NLHx3fA^l=gl&D7M-K4o7jxpMsI${OmPa| ziK>2(p0^HdYRqVQ68}$pSQ+hAndp{vfzbicYQ{6Vj_CPDNKl=x#KcW}}_}E20xrlceiQ{fSJLNt|i3-4-D) z!k|x?DNsrbd5AKX-nM35I$3)c0$AM1QxQ;M+d6c-F=PBmJg>fi))U13%O5DbrS-zp z+?E_JnQk^RSz~r;@d`cM z4R0GP=oPa_&D;g7GUF!;-QajCe_`Tr!-!;FsERwR^FKHeC6Fhl0jx`YS*}b1$^I(F z!;U#TLy%QGh-{F~j-ehy!zIaliOU*1vjyUb6Jw1p2frk$H?xJ}E6z=_o{(NBE=ASk zvUzu$6fo`Jh%OwUKvn++8H-Dv707SGMHh~<>Y+*<=k&*M^YJ~t9KSD|4DU31>21`4 zFZ#Zsf90qR{`gmR78s3WBON`Aj$Nu%e(hcEhyI<38(G}@@t9GhW!@5JAs(YJJHIyz zcA@lXd9=KqoziTUjo-VCYX^_*ZYWo39l+?xwrZBp4a!$TWt3+8T3xK`qqg{l5;~U*=Cb#w1=wmXpqF=I&Wzc(c#=o$1uERR>xX8h zYGW+T5OlZ-bv(L`4MHa|Wk;I6QJt-4uyDEr0RBk$H`c$5NC!z;v&;hJ{~ z@(Rdj5Caq(M`R{u^|&VqrzSe<*&<%gwaCT78CseT1UY@Q=G7IeJVG#(BsC; z<8a^#&`-^cRr|P*)!SlFU3^w8dtOF^ABtnX%9wWGl4fhmy>LC2nOm4E$+?jAp=HJh zIQ7|1g-p|X`bQ$N|06(ite2DGFT%dZ*n}N=5POieD3_I~4&nxcDj0k~O2qRmjO79) zkR0xi<>XeZ7fMbO=Z%>{m@Q8DfG6A6($$vm>1+w=*vW|S|2Q*?lZETuXxt_K8 zAb_E4D))uxSOgIQ!M}-YNR8c8MT<#GM6*Dsgpl|sX+rJ}Fw<-)>&;VO` zC%Qg|*Mx&Z&{E8u$1B3?sn+o>@BYDy<`ZKAc&BWQD<{`8+|4MWFW`7jLG!=`BqLfn zZZ%#iZ_p;#svUm;6N9_l5sEldb~#0aMB5tp^a{oZ-fLT%FRSS-?CCAc_wA@yFzlgR z0p_6NUj_L*L*9ky?UY~9yyGSsDR*bcCogUsPwbz!dwTd?*#uvKO%s>?Gv1iX6w}sn z|6pzONEl85#)zx=|z?LN4>r?^D5XEX)bhLrsv zHKvs3a^PUBLzKp&md?XN>fGD8F;nN8^zL5hWMk$e$aH&93Nwaa6IRwT8Xvf1KIYO~ z$3z#e#+CbFLjHKvTJ3jL{hjiw_^bM88aHe{*iT!{kodYVf5*Q?3~VN% zWtxk*)i4jFyBFwpAeyu#PHpjE>`?9V!pi3bgDFvl9TGm3-3Ze=*trP&eDAfj8r&|8 z{+BIa_LYx@DG9%?=YpS7+rSm9)I3KxUr-g_g1mw`v1w^%LZlw`{|=3a>J?x$-WMFk zLl{>xgvZ6s-y`AQnp_{`E6aY8R?Z2P0^wwH%YO_qAWSDp!lNhy4qHW*e42X=J!^plwU`| z_~+K*xUO9o>Z3h|gX&wrLRtQe5f`jER+NZdR=rQGX(t)OVW)z;7}BrQ#Q5^i{w0WG zA5buCI`B=v_{{jSg6NcOLk|7flO~_j#2l)g$r()i1e_fb9R2CXWD4&CBlD$FoFl)R z2MrgSsmc=;yethJ&)N;KN-dJ{r`nbeg6_|3Xx~Z_`>>?Jsm8rGc~CjrruLm!B$-|8 zYG97hNIZKXRd0x;2v4H;Tvk={Gi2#AbF&7VC5&S>oqe&h!50+8fPbsvKyF@s zg7~&J?MN{nLd5QP=lBvPBenYn&*Wj*koApu#Lcf5ly3)A343Z!wiJ9 zSR>IGMSpPA`Me_8sG4`lD|VCqYy;|;sCvddU*TrGaH$z>i@6l~?IGccgG?$B@h!M9>RV6>CkPS_gH{Ncz{k&H$PaI3dIrKS6icGcH%0{6j(@0Ur^U zAs^X;cTNbS3+1P@MC-x|SUx6>WYTwAltCCPvOrrYaXwyGK1~=dT^QK#-@n|oz9&kp z(VqK_x28Te(bkD)?Y}Q`>&nN(7ae2;^+Q;sSZVet7%oTBUltv-bJI0; z1uKxs$EZOipkoQ z-Nz3hf3mz->7r6`yIy{g@ZM^Y#4tT-i)s$AayG>w#n*^UG9;mLWoALC!Z15C337q7 zt>qtum;MsF94L&?s!XXy85RzjIz!iKhv*wxls#OS zh(@0rAB^oWLa!daG)mIY)al%yd?y3kt0d`U&B=UuWPV8Ja&>Dgn^Je!>}9H(%l$MO zO-wYyX;L|l{j5YqRSPRXx}oQv9R&m_K-jyS%=%M`x;DLf@OlIe73hkn!_n0r`yHb% zA3qM4FwXQ<18iIuG#ZTq)z*Z9L#gSx918iLR=nj>;}JhL5+BWqY^N8arwR)_^*eol z5`rebH!-1UQ++I=$L5~&I%3>ue$mp|-;GquPZRf-{#^D3UxCWtX=Q<336y$Av2uhG zo+;7X@m#p7y!q1~xpj_>bdE7}2)tA$WUN`qm@&Bsyp%hh8*uqPN>3Wa#7RFUiDy=K?=SG{gym2KNgTQ6+C} z6jD6oqPTJRU%{P%R9L_Gd@nx{Hz=+$$;oX2Ilq~#5OqX{V5Pwrdag}L(jJT9jeDgC zb83vN{>kYJ&Q$;+L*5g5!nUQ307~1Ku1WUpN|;Wnu1FP`RjlH_m``j}mQNXI>2`&>Xz5FMno+*3k|Tr3>h zq)l1O~Ip^!!9z4+hd5$~}7gVauqr|6m8 zbIf(uM_Gr&5{;$ZL5l8=z=9Y;E$|1%5GI9~Xb^LQ@;LO9N`67v%S}t1fnLvXRbuG! zGmWnz|98X6Pf(T|0^-|rC=ME;wjXtxFs-)ung$OMqL`!kB|_pa4_3e95)=mSOyths zoQ%v*&m`Qn{RrUvik=vXrTC6aSJE8vlu>JhLof(RoA(!vVo*w_pK*C%Lp_GGkNJLI zJq7f2@3+&t{1C^uKUXML&-pqvDmqLd&y<3gc8m+d=ts*~wq7igDM2#A&Zd#+sPZk3 z{_8$DL9Ic0(E=Vb3S!a0RgrozoxxQNP&<>ZClD7J`qqvmiPiMDWRQNJ*-j6`l%Pp) zvE-D|jJZqsMPh0I6o;@~SyU_~y4bkh7!utN>hT1Jet_72&tbXhoh$mkAr6Qicy#Vz z{5V%L?$SMqR6;=%uZaB#-4&{=Mx0zB{ZfR9tU4%LFuBXkc@L!WRX8EiJ{N1Pr#5r zez1d-n@~K93xGa?-hN^eoJZSCJ#?lllNLG@Quke#xu3tM-Bd}=>jrj~m)cAKnU^R;m}Y0c(zoaMXYPdL-6Xt~i0B7FZK;23 z0`lf&NbdZGF0X|0sf{2H#n7YJWzVU;)d+kAApG!J6nrdYg`d%a^75ppm|(<8KzbaG z!r|UR{mDgEq63ugYL+PZ9Y}ru8l9Ojsm@(Nq9e=MEIydJc$wj`Kg;vy;9igwcc%|O zE7o*)ER1Lz1a_g`Q7F+3h~0(a93voh)bUh(EZOW?K8%9uu2^KI#_;E}hRIYTxg4z5 z5)6<(xcutaN3xEb`D}J9#-J67HTX><#~**yt}3JO*m^htG;>&2+{kmLac6l2fFR>w zNc9~NPnnsHe$5Jtc$^oxL*3!_FKeGxdyGMhPqs-Loi5u9; zI_zny7l87V!iT{zbgM~l(oYdu60wg(KHI1yqwwNbpuW?x8H(e7p2R_eXopsxA`Re1 zK}MJ5gb1fO%$_;J%6tIE1$s@i*FUz%fj-FCf{D#xv8~ z=uVo{&3G0rJ;ZPMk)fCLE%ZZQ9x3Z{Ofw3eAePl@|M=Sf$J18_MDcy`(%s!IA(8?v zDc!Yn3xX)JgwoyJAR$P1Dxrj+bR*pe(v37o*Sq`uz4!jy*_k^t_ntZT-t#%<^GW+w z^tJDlyKksZ>kUwdH@aG6!L06J8i|sZ(Fz8$%R0R=k%nGLVhIytGej>;8O#Jr;nSC0 zTje_D|Gj9xIh&k}vv6$acLHs;bt5gMS_;glJREHN?f%{AWW`sa0YPV)+NKKdN zzq!(7O>?Emu;5P3Ad_$Ezy7>k7(+X8(We3iD~zY7B&^C}R0UK-$OA$UgGoU`K=Njc zj&1w6e3Y3EXp~mRbE3G9uGXE@ZKs1UK+nZX!da&>sPx(xw?Yj}-RHwBl87O-GzV+nQggj9sd^uA+|5n$eZQ zHtg6(QjSpz8Cy6T#{o>m2h%@vX~*2~X5zh_R9{jfYXs?Ty%^ zq6&Py^rLmKMkqVtTk7;KbotJbs&n%^d7OIHZG#H+H*;&8rtbn{|MR5!16}qkgsgprqEQOD`iGVHdqceFpN_teZ}vOvy&B7VO(Ir?!5?`CJhK*$2L?qpFe zRFG$Q2nrIO`46)y+a&qD0*um=PkG!N0w7_o(e$2DzuTj@H5+NyG-a`K!f$PnyiRc_L5?q4k z-edj%^?H$5ZFQ)C91ce%aO9GD>ACJGh^fkv`czqbcHc_JyywoC-)uiK## z2J71Cn&C<9T;y80-b1K)agvEI~gnv@Pw=z*Yn=iP)iJ!=Gn0lLja;nzuH?fM*yDB=Y^bQfLo_ z2jfzP;R4Z70?dCLgKW7+@1z(b3~5rC+fU;}S)h@L>gZ%%(tok=$bhPc<;lW-XRLHc zr^1Z!93!KZYSG)z9aEYD(ke_$J|e#36p9z z+r2P3eJ+mEvAf1R1ousd<+B&+Dngk!EC`xH0u<&yKu!GcRdPO)uJGSBxCc=9#BidH z(7*L&+yxT#{5KiD02@h7p{gP7lfoxI$snYZbDLY!e9~6Mzk9J!@PQLlwdHouVPW0T>;e1EbfH+;TV!W_Zo$$kq+)@{dp>{)XX^3`Ya ztXVlmk6J^ICB5B*r5I-amDm&%3i=~5?pidLvOMa28FBihRJeg9nqf{!bJcRs-8ezJiW^Y-%fA5#e+ z=8gV(>cfC5=|t=*O2XG%k+tNuWt0`zIO?a@pgV-jVm?!nu%Ux1i>(DGdS7O0M=JCae|=Ijrz z`xKj8;88?UfrW_Mq0 z_oqZLFi!_4-oLsTH92V{Tql;xeJ8fmA(kU9ny!i?_A+V(aEhZc><6!OmMw{&n(t`i zLa8rFIp|EnnJw zaXWp%_aSHitz#_x9Im9&MQq;Ydq^2qW~sXygmJxMYa;3U6JtBv-c>oKoLlVU_{!9B zOX!LOlv?c*0c#^F&?|CS>Tp;RSeD?Qng6U4=%)l7^P;ap$Jo9Y+0=Ge`oE_~Zi3R@ z!2yHZM}JKVEi9Q$YlOMf$821%f@Tdx)S&rQ{PTg*7k;{=bBUOdUU%b?7 zI{J0YRE?jiTstj(=6m49*dl572uMg=G?877`@S-?42#OYL1M4H=t6x^y)YN3D5e6J z#U2bCwORe-S#bYFxAdvwrU@cIx#kOmeKF3mY@XJUmA(jTa2ZrYHk+)n8Si5&_}co# z+#mOiKcGo<)7Y0FI}d-Tb3>yL1o}pJRgSAZN{j&wUnesiT`rjdUR7FD>5Q#}qB@r> z?>r13tj*fvIVNCUBlCB_LitBMdT`+Cbqzfu`NX-ur zBSNhT!>o+K1VTY;_Rn!`7hbFc8g!x>05P3)*RM>@AqQ9}r~&*i+ouvlbRM}Psn1)q zJRlSmAOY_Im9R^%iXVEmseK9rbfCvqJJ!VL%ThTr>|#eYb0M6zq(F+AuzlMx`R~>V-qALKM^eH`f89RG zpnzQlUkuPZZ=yx=hVrQ~1{%ns7$~5CXxa*rnJZe6sD}Wa!&^Lrh__ChPbjh}KB@^d zDiA6&aW)GhCyBVlbzO&&Sh23)rT16=0Fq2L!JN#2Gg2syp@yagjbs>r%h~<7Bp?vE zMX0jG>r)g8KI-61g#_v;Df*GotDZC&l&Uba%KsiALyal$zef_H|8N_KRw?<%1g4|3 zJjIWJcp{5Qg~d1jHCQGXgA4*zZQ5>s7fL?_<73M`gX5&5Vw*T-i<3|2p1kezos{lZ z0>tD)<6V=M@FK2=F3J51&+A7@xz?(EAY9n?#XLX>slVbZ?Y_ptt155~jbFSy`3$Wp z5IOxIJnA(7?B6ZEh=4yxBg=GI{3T$nRlLu>YlgU6JO}T7;hG^9{qx+N6Av-z&|Cl? z=}^v?zN-%y-B~aPfl7LBU}fO%yCoh-D*fmWph3c#e!b|yNq}Ihr`ZKx5;JM%3f+t5 zBf%CUlF@9SFS0UKVSxmeL;)BLK#^tJ0v6I^{LLRBp7ILlhwQm;Hqn_R+x+ZDt{g<3 zt670Tx$9AY3!e#7XaV9Y^wb#lH;ouAbwLSVtvneAI@_iu7S#M8GIM4onb<{5Osl2#lXB-zDvpBveYa2Y4#7felr7H(E;3+Z@@CovLm-{6PjcW&t83~lrtbQq!k4yeZ%;;G z<h_1A$;jeE~}PMXIMM38q2_8yt$ zs{YxPJLZ+UtcWW|w;;(>spY#HUm$j6R5eSGHt?@RG~xv}|B3zE6T*^>6}*e{DPjHP zrG>UuuI{6q{T9Op|CAD}g8}qf6~`Fo%;`U#D?~)gvEAk(_eu1c(g9RlL)4hD0Z1$5 zmI1oGbM+{|1zfn9%ApZOOj-#ysrt{Q<)S(~DVdH5l!AUE00P2y!FvHX1acCan=!!( zZGlQ~1A(Krm|D5Z3oOV680bKfGlhcoy<;J7d!u;}=bIqQRms*h7Y|FJ&#CQ=e8HTY zDBxrLv!#%tjn+gf+3-x#iuK@~w+bu~TDXdN*h5&EdHWm4r9S`jxJwAtMB3)=!yAR8 zU?n-DxXzm{u zx*r^BfLdLb?HJ~TxXWT2=#%m%UEaA?KLfhjUpoe$#Qu25V5Tk;9?!wsS9x({7qQYG zkq1WXJBr0Nvw1QzwP&;K=&N}EU8F6haQr5E^X*QIhg-rZVI$_tc1Pn_DAsf>?4eM) zhj?!C1>o~vjOFj@56SX05kA^bY;h~%jXT1tj~EKm##b4SG&!oVNu zG8J`d)u`+sv%P*7OQac_ zo*W3ub1{b`{chpMVptMocVamj7)}v6RW-pf1on@`w$YaYn)#fpSQj6=Sv*trKjCJ- zJ+ix8>A3_wQG@RXFJ=mTw1_V$$7)Su6!?fi(}hzfv@&hZiT~E&&FvAv?NI>6i`k_< z_u`|@#+7i|wQ#^x9}#WwgZiz#F5BvYW>>5h0=0?X&)$Xn&CEBCr2Rs{6x!?H*0&MK zM0}{gWXGjz#j2l1zdJLI>^e}kAzMHqM8Vx8TT3+jZ!#}e&ZOY8V-VPiMfOkPH^q3W z)EwCbto8&T;1|5+GKmr-c@~@Z0&8coNKr)Hzx!GLV8z-V|Ab z_9*uW9=S~p92I2Fd`p{6O_$Y$?XK7z(CjCc8ICBmCfbY!z6^jtou;ohk*9B?TR(lx zKL)$K$kP_AThzB=5{x;kgQf$6#Z$}&nitwnn`nz0_=>@NSN=J=A5s$E-N;U9mq|7Y z449zF-7-b5Kh#~8;*@yzH*=^HV+bDW3?YtD6K!>bQHFvBB-(*hLyr8bhY-Fj3+86d z1y9zcC;eCQ0uLbt;@6_LH!YudLq~kjRqb!ct0La**7-xLz!>2=Ao10yYLkSyuaOIF zk^_StDk^Fwui8duhw*|Fa?;f*&d8fQgghMAYWu+SqTk~7YgRfi=JLh#BDFo2%*g0R zm#x={#)W`zqVQ$!@PTYl9ish9VP>CYEjsr`6aTL2Cx zoSS!#jB0PzAxzxoUPnL&iN*5Av>hE4Nm$?^zq;Q!@ zFK1xgF&Gw>ul-}nk)Ao0-ie;6(J3eBLBH!^PNbceH$#QLOcZ5ikY`1fHJ?eEx}s%a z!-eBAFRP=Iq_t{_yHn4Y6rmVdk%Yv?j>X^OKjcHfJfZ+%>~IF6luVc6bJo~lG$WN} zzHOLK8HeZonS#<-+K6$yO^-`4co}KGqB8RD`Ouu=fd;-TAmEKx4bvIZ+<7JuJ3OB{ z3;>-l?g8CQ1DDMS7iytmDA2vgih#V;{GxF-f@^+XM{4h4scw9_bKUY+m@)fVeYSS# z=7gqNX0D?>9U6LJ#?*oISeixwR4By?=;w$;jH$ay$-@zi3scqrC-Or|N0=2&+~)R; zuLAU&S!J_&uG*Rz1s1ze){pkmx@5@d;zss+;fVUH`K!N-+SFos^XO%lq)&rr*!LtW2r{;83aZ+3H( z^L@HH_?;RR^rI=kx^B;Y{aV{vL?ZSFnii~?FI83e%l7BJ*r*>q=_zYHgGFhEP>JtP zQqwEUhxY%!-Xe6DUJS9vu#V= za0>k4c_Z`_Y~j=P$1P=F>^^7*{tL2y_(KhBrHXo9UG3BVTB%_wOiQiVxY!a}NI6(| z*&P`MKPbn#!jtb?%0UmXyw-`<2!*3ab2>7?hc9C)M#I}&H)@rw>a>(t58#5BO+Trk z;u{>Y7ERnCmC+LTooL&tsBWcFbD_3VGAftH*6WY^JnrvCVvl_$@(rZ8>1f{nfWE)N z`=)5}wJPJW5$%~;?O2NFM9K(}A3!})b*=MqFbogy4AYfk;$ALR`IDLNpj($i%@K0S z7cbu8mc5iO;BYVI$VtGtrX;$F(OxYe0&bvgY^`y-eR;n23z$VR8|$oDf$;QZz47wKF!>v=yIrixju2Ey!YMuD`AD=b`6Vf zhTv~<=_~#qCwS0*I@v__Z!h%lHYTY0v#3?TGTm4v!wY|MaPc2Kv_#M{ChxG}_MNr@ zawEyN1e@jc;pIYcT7f>?Xj4>y4qC1sP_8RHwO;h-HR^;_#dhF9e{yvuT9VX_b!x;O zhAAHGU|es#_xYDake0fsr36rkhn%g$ywwKC#cE8YC`Pfz8Gigcb$l(n;2R`fqUN7g z?fQh(uPkc>{?q`d$EmNhY6~d~EiGOkbT+8i$ivAQulQx0;45&O<>51|o zqPwK`wm@^M+oyka$&B_`^{m0+3CW270L+j-s$E>DJkl`WFn@A=EC7VJ*#-16S`Dr* zi~0rjm zh@ic4#gG{bVb!Hz6}f=1CF5JRJ_0W}4?qp@XQWEyhM=I8S%%C4^X~FcfSQ1WYT5>( zq`2JsepW;KLzS{{pECDPpoC1j(2z9EOxLB2bVZ?ygGN<0wiuy+6;NArfAek<64`%& zQ`&w%9=k(MNB_F(us6m&QoQRu2~`>LVq15);ihWq#cXNYdBz8hw-AbDCciR2q4^I4 zjLoc_M(BHbnPk@4$ExqIpE!W`grRJWC;ekqa;gbCC z)J}qWks!I0<{^}38DAyDiSuI7UgAmJ0p@H~@fGV$L(<;b&ATR43qoBUqqcC5pMKc$ z%IAoFJTo+NGedr~`e|-b{bJrzgH{b9lIvp`;f9-riTQVf108%oo#9l6xsMgMY2>lU;pG7!&fv0IID(mC;7mvsFiJ%)zNNojZ)9N?)VR*zq@eYO}btP~mxdg4U3U;c0N z65U`)+&7fd;H~eEo(vueMBF;1X~id7;%|!rvE?)`2JQC!3vxwxb)v;9yMy~ z*Bz)Fbo@5U3AdpiEp5&!6&H@q0-A2( znxSC|e>d=Om=og$2U*uxf`fBU9SWMzG4oFW=?>*5Z?pETl^qItC7xpePx|Gs^vrbh z#PD!iskSb89cPFq?$aVYJ?^O=Xo;9`0SH~ldNZpQ^}1TtjtR=IPM#@&c4?(W+h>{5 zBX5}?Sj}>`+W1%^Ml0J^%zQNq0i>TCk3>1J_+z_*d7Ca~wK9H;(4usL%g)-RsTP3? z`u_PXlV~Uo3jQxqtY5)3SSVJ{L)F@q&;!F(=nE4sC2n?HKcfV71RKi6B4c7Rx3I2V zyu~7V5#iAg77z?+nz6X`d#yc(qN3^H@v|E#{|J~0FEwh&J)>V)Hxko{Y0?L%rwb21 z;js(th1^Or>%&q5r4oZ*S**7V;?J70(15nnBh|C*dx+Sfz?I}u(hDqp-9v~j;qYt5 zqmc;KBQdd;7wDMmkQUY)2(xUlrg+!H*}$E&2YBg4{IIDmZG~K~QC(~40L^A#9->es zo=*ZOQ@~&%q^#4-lEz%vz3L+%n&M&$OelF?Rlh<|U71ETn}apQg(C<(+{AsO#EE`` zCz40&0BkKI4QbBB>NqqV?(qanncd3B6uQu>&ZB@A<_J7q>jR6$tr#gb$#DyPEsLMxWxikTAnv1?MEGy)Gt>c2?j73%1pKXoS5y=3L} z{Dy?@C$>DHkrytXZDFOcH2bmBqN&q0@XmHRnPxU1maILIunxH&JFLI|S5b-&li!ur zFCp5(obWv43T~qe)g>+Yo){fZA!l6cnQaYJe&^mfabjDe@bS`Cxbs%P zfkQ2t=bd?JBp;}7Ko2|MX7+@-h{8_>WIc6;9%5HTQ&(%?1(w1$*=gD2WA*&`gh3|! zN{UQd`EQ>F7KJvyB?1U)xG3GcF`2tkm zAQ4(34Xv+9g;8`PJ&i>c`>%CK7QsK7(mJXC{$(^3qZ{vixQfLTOT`4MKSASP zH>?@z-vU+Npb}c5g0Kc7V{m#G8DRrI1JTcc+TU1Xl5($?kH!P%i1{H$uOJT8QV_a6 zPTgok%rce`1E3V?SX;Z`Yp4~15GjW>L`oFU=AehnEmf};DqpbG;aU;BYTCgNyQLgxn;8+y* z50_kCsfe;^>Ucf?9ARz=IPW4~%j65jVvD6>*TTbV-hXyyXLYcKK??oKIKvYknclPW zz@A2-0$sbtRDcv{(H1?$JN9#(oB1ti60=FuWo711(7a{Pv^4I~+H_B~Af$UeDo1^9 zos|6gHl^p1e((~cz-eukG$NMTGw!@I^>~%`$#ZfZ=r#dD9}i!B9LbKwc{dR95k0f4 zeer8c@H0s3h+k%zJ?14(*QKrDQoCV}I4!|+dV`|cW1M5z>v$R?s$;~*t+5q#Y)rEj z{=H;{kE-?T(Tp!82$r|I2jmQ%r72G$J>jj61d9}|M~O(z_!6jeB_&Wr?x+o8ngRF3 zCWgYy*EVMN0@NHS_SRfWzqoSJnuh9bAxV|*o(cf*5BF!S;XDhEFm))SC=-sU-fM|u zCtV@FGAS#qX@%JHp2MucL+*qPk3f~Uro%?I0Dz@mY^>cf7GMtLrzaUqDUA837F?a| z7xN|KDK{7G5~{*iN$vIlK@AU z&ch=qF?5!&IO}?-jkYw7C1Fv!!g>uzYUsDlShX?TV&_ED=8VHi8FYVb#+{l8e-OAC zi#rp3u&@E`_-+s63Wrld-xQpmY~_yJT*kQ35%)d)qTpR{u3mf&k$Pr>BSuJrJ%mFFms0$@bE)v0cJyNy2VC#A^$u@ zVLuDD4-8=;Pxt-^XYzKbv^h!cauFVmS_Coy$kA!)+@I9}pM`3bK2qK*m-70S($&`g zSqGf8bM|>%ou=?3^-UYOSDCJIabVN>diT?43>TIFG;nIvwy$9Lk3| z@6 zwa?1{OB%MSdj;aHmLB@y8DD}Pnjj)?E=NGT^~LuY6*bbikkz9lfU8|E+k@!AyzBwQ zhBJm1Dw6rX_tpN0z=tRnqNrv5iY#t4&+vJhKb+pNH7LrY(`Eybs?ulirSKN z|D_oJY$(kGB7~jjAl}_a#0x4Jgd*~0ZF;1c8`^2BJ>FWB{i2?6=pMD1U;Z@@9!S7; z26eK$nj;LzghQXnBB0ayZ{s<1y-|!N8P`j{@bW?ALWK4nzAj`ggh)BGa%&9?eofntiH#4@ppl{=oZShSA z4h_DD7`2EAs)(5XdP#zwbeL&;2ih)ndZfU7Bu_UKJ15Vfv_lS+Kx3K$#G2F4b`v7i zZs^p3$*#&OKDM`2rp+V(Jf)^6I$SfP-=#PVUw_zB+MH-COi z%70Bb)5DNG$N+?JnV;?rPr=?R(S&1ZhuChKqpIMX0<)G;N*F!lH z^p35V5dyEGM(Zu1@QrdrE73AY9TWyY-51KY>x_}B^u#$JW1O^IRK^`|AT{#Myxwsf zs4Bq1j9sQ*!9&uzPJ*jNxtq`)dOSO{Vx5j@&}&ZCA^BmWy|*^UPo!b_2u$bFqk<1* zzrP6g)j7sLagGP3aZtxK`8L-8wmz5Imn1+0iZWh8T#6Udp4Wr=gX*!-Ii^b`lZJ|* zA|O-Dt@P%xhUMd#SC1X9&a(S75G^ z@@lICwl}T>)Y5AC3pPP~SBYc-KLl+^?xMZqG?N^@ryM+)v53kId1Y2c9Vh;K7K>UK zGs{aks<=yWV>71p1DaZ7y7X^9%epdMk{JbkQ<#2wmMn=oDf9gPDiG7D_3@-u9S1-!oT z>yUXA&RDsa59c?x$}Ci>w-QgE59%r$r`VFhnhbfzU`*?b(JI$T6CYQ(XL^iH%d@S3 z(9HT&nqK4+uXgtxC%)H+T8#+&9Sw#!_IVN!)m_`y^W!juoQ&ONoMsbRFVAoBK$zRM zgFHD+xR4jNZe=6Dj5h(37~V|R0wGWfOEynBD~v?zzckL65;(t1XcIm860KR^1o1S# z?7Ipc1OlZG*@_n~v zou>UZF}L|03mnNfTJ7!t^+dx!Bz}&m$z}7=HdH;(7SsG42tUt$Pd?-U27onAG#pK= z&eDMm_m)|ot5zn?v}G3NVHF+%1y0=CKk^=14cCojQch%ohFFdpIQ%AX$MJsM7N=c~ zn7N8R7P^R9l2fv64(OCS$`Gc^zSS=>9IpG8iB-z)6ucppHzaYfW9pb?yY`%C^Z8I$ z`tj}TXSbj8FWLK@-+$cd{#b%2$-+s8I=AMF%_w-9el(?4{JWOax3{XJm2F!f##1Z? zuy40y+otQA=>MGp^F-A4Jdx#AVXJh0Z?e^GQj+$2#7t82w=S($s8c2WMibQrKk0*S z=E~3+%Gp9eUM6KhrlE8Q)B={7#&snBa9HERqr?}fr4DfHox926Z8e_0R*i&qfH!DO zq&cssjb)g|XYw_JQ2Aiu6ztt%{J3tN$)BLFE(PMY!*-dt8d)3mQHvmr5PEHB!+KC| z&HiPGoPSVvXbvT4M-6!T_q~(fU35e~ApOxw#zsryjK~%F54S)eKvWI>l z-z?TtM@+uBufe?97&K4oIwUt5fM=a`V04b~bT3(0i#{&=calIsT`0g*un0D=iY%Aa z@-h+dJla)m<_Of)AxtlD`x<{EM8(yt?{|%UP07G!nbBJvwi3$1biRHN1~2zhGuUna ze^+6DJZ=A6##M*_lDDQchok@NiubOvErD15EqEnC_Th)XU2pUmaIJJm#43)kFpKUtcCo!pslABJoTcU>S?~_}PAD`O zbO*%j)E3obN762~v1>XzMOgM>tTKL=vJ%5%!hf)O=~&C0_WFa{dy`?~sH(2CxBFUy z2I;@7^1F!tv1&6n@g*BQ-q#5p!Rl4cq9a|+b+o11=%y=5lf#F3f@Jc>a+;Ocf~M4h zuF@M}PGhbem~^u7gnyIa!x&ila{s0n7_0o+UtujF6B73GaMULx*jJ&^O~{uA4xh|=3O3PQ|FpNo7EkYjn_DMHaQSp zm8DK+c#nzhsxV$UZBDWIkWjY)%$t+SDPi<7@%40u3~Mu_o&qz3kr+Gq zSy@hWFxNL3n^YEw;EAtS{W3Dry0NOE3NlXhg2V+0mM1MA&J+iJ+u?+RO`cqgEEpWA zwgdr99Y0wJj{>B=imPz&q?TO|6l{<$KlarQ%}jhUXWDT5;jjdJ6~~M#28<+%9;9Zc zLh|B>WZ*YyzQbt^ zuf7Q!9a|oafhD<%b8SU2`Bj6!$+6`LIDkr@n;f$~ZPlA$tq69wSHs#>f$7JzD<065 zh=Vgn&BOP7b`|Fsu?|f}fbi;Bq9&tyP@Zv!|j=p6T!St4B5oL_6vO+vhlBEe!%bd_3Mg zBu=IBGL~ZIYzu)jllVqW)JF3tM*Q^7&GN( z840z2%6qx!bV8xbAX8mFh8bk4Lv|R?4RU)NnThPxcbm`yBj%Bv$A2{h7lfI-9ADz1 zupUu(D`inuT39NJrZ6Tvvpw%G0R^L9{X;`OlWm-v=t@v9_ z>d*@8bDdq(Q!v^;QlIiCSylS)5tC~*2;?7G=7T6myAi+qdYl1qs4+8+Ju4#H=+~F( zjBx-?&cA4Cdh|S=)`RZ3*E{qhMvTmMC+bRHe-Qk5skdK+ zm&U=SVBADBx*kwnET_$h7#-}1z~lR7n&Y7PCv2LjzqYc3O$}H+&a#hAZtV?T<$^LWI<%G_d8Br_ zLJp0Hr1(3DngGjZrbCmN&72g7e9buIrODCDLWv1NGTewgqPp;!@&b@p`c+O(R_WN^ zd+ot)^8sw`<7eNxC)3Q~IypN^T^5H8AKVNWNas5G2|4@S2+_M(vH?`?$oTp8e7|E0 za$VY(TwCylsAh1pGISAkvA;w%dZFuQ;?T)d&HwYz^5;l4Jx`N~P$HksnD3~r?ZPL_ zdnM%e^(1d6*z@h}onnMYLB@8S=X&VaOD!J&!1C*|8!#vA zWnN|1af&N|{V7QO&%HUagK&uPb+e7z+k3?bl>`VTX{3(POUnm_T`$C3@1vgGxNGQW zEpOaAIp2M#b{=r0-%L1*3EF5}uowRb4GhNcx|gDq<;XMq{O)d7&!vGywf1RF)a{kM z$0NEvgR0k3fj4$xH%NUxG)fFDhd3bodHZmx*wXHM`A{;f;;5>NmWFb@5%P-LLU5FD zc)jJJa#?~$sm{D%1U9EMM(T)uu`mDX*b@9)B-oq&Hs>=(J`dt07-AFl4oiXDG$KqN z<5x|WTQWk)z?2ZM4%A)9(69H=|20yB-1<#eF~L%@M?U5H=4zRr>OsurUmnM@_R=oW z3zWMByt_1I@2kY<`6aO>B$Fdhe3Hn>i{N1S18+pRYXWr%2}@Fv{0sAYhSL7tf%kS{ z_k)E33uLQ}oZBF*GemU_O`<>_@A?Y6Bl}lRxqWE4Jpz-+;if((->#<|<c`YA9`hPlh>eugB z-@^*$nTjx?R{yBx!`Df2DHqu!bR-7d-8WEVh<&{ouOYa@!!67vBq@zd*G-US2iEJs zbyAsicT?~$v2e)r(;3Ln&W5{bB+WtSc4OK$csa+Sl#=eo)lvyay57YkE1uE74TKLZBlW zl-@@fbGTAC(vWav{gj%9yt|%Kt38}u0%~2grl_GG-2BQ%>2$bixkkfZNzBV&JDYOd zpe?vL&--S5;qhKow1{f^WxP&`%>=K6@I;+fP@p&Xjh;mBqrUmU6yMlanXIQCJi@2G z-+(vp4g9?&7e}EzPf(yzRQIq1s$?W`azcJYOEZygUvVcO3)^j@E#@eYI0@bMPTl@P zJ62DNB(eeP4#+2t$iy|NIo$CrsbfP8>bN-%x)6^6#*2owr`NAuf+DkW^DJvY(12#C zzIC$_b3f|vG>D8Y6#y5dLv;P2x;0F~WG#p0EhE|QhyOJx9Q%5M3)~meD~o(EOdo$U zo~O_g*xvY+V4vYN_i0D=#OdrLnQqxsxFuXf0vgGh&P?Xsee5aibv1aL_NzB76NAIe zo`)oWu*MspO85UdW>a#!WqmK_< zC`!IOmn`(mt0??wpLPK)gpVk^w=0v18v6DPl?NznNIZb{)-OfLK5e02UF_`I1NtX_ zT`4?=QT@A)P$Mxg1&NRo!EE*eg(a*MZ^hH=DQ@sHF>AJy?GDKc@bT5ZzQ?MK)3$L0hxV&+W>P_?4C_IB|)&t z?>+E$@pddzO9sKs5y#?q%k=ndf8v?GPL%6Z$s&97HbR>1Db~Pn;ORCMf|&-_<$~A6 zoqwCa;G`Ihj{toc+#4S=5M#OQ&%I%0WVSKd#aDxY!#n4t^Mr8e@cvJG=vS>J^kPuY zR$Tt6c_{-XZ$;$e6E2pPBM`o`D}>%(prdZrmKJjcXXlA|3ua2c^Xf?pI)N;YVwIByI3_Qbhr;H+Ax^HW)WtvQ&;hz`w(4y_;zWUxt@ z4UaW9)aq_fjprz3MYnkU;`(D!^+p%UBc{%~uPcLnmL%Ly>P88R8o<~1tab&?dbkw+ z3ST?@A>+O9e_$rH1`16sCfr}7JNmYZUFwi6V6juh2P}{VV2WwPY~a9OZ$eZrU@E!x z0uyEAIoXZ!@2+NN z%aNxN4~#UhXRAF>ms*%C=f6qpfHnscQyYa+*{YkeoY#{O>UqAmMel;Wulq{NhvDSs zzrfJY%fUhsS-;iDz^Y5J%p6KkUfwF>qnO^2{HZFnsesqBk4cf|fwL?8CDoKkRHx`7 z`pyP4927s8Gz2`Qk5K)gxN^j>c{IpE2Px@;@oT{rwNjhHyDvbiH(Io3?L4r>PT1lx z`MmJ~*A^FZ^Xh3_$Cmiu765=SO2keUO6&a0PZ%su;;Q-4G;2KGL#;9Aa`Ns)@L#SZUe>mOU(+y<7eL z0UPTf8;s#ZuDXV5Uo$rA=eReU1n9y6xWou7e`lEefR<6Wxuklnw>(>%b{MI4B!s$q zpFZ@DtPGl6PwM$Yb1r)M&$`v~xWs_V6|^p}@Cht!A5?_#`6wz&-8!JW26Ov@RmC9azK1yK6hYvy;tqnM{(tfVe<+A5{%zY zb%)6QU~1;(yyN`?2T_DiVdFWOlx*J*w+k;9lUV+)@;btQmydKR)AQ0t0Wg4qeULiq zIwMlFla57H2X8Y^7=ciD=s<*9w?Z>*XVXk{IE`8g)^5u!>DYr#Wj~YNo!Yz~)$%(( zZ4$)lKjfp|zI_s$D03f2a0P`osbd972;b~l9?zw{fVy1fhyd#9W&aD@rNQ}GSLkOW zxp0(p=pq*u*-_8kPai^=Ll_$uQ7_b*3a}|b(I`AxD;Lx7G;xTq8>b3h!oaFw=ar@!q-5_;uj1<}-rCs$FLB4IVB_%zR z6=1yx8DF{!+B9=xEy(LY|Db+0k_k#IOpg32h!WKOe_C<`xom?HQY@0~<@b?F)lkpk zJYg9Nm%~O0=Mc-+^y?_45ZT6lMIRTcJiV}Bg;HeG)GuF*(t@x)JVgcd5aE#lSUgr? z{qA`U(l7;;QwIwyyCW}i>!N%AP<#e@L8}Kz%wWxjM$?9eoTa)jN`_@&Z~fC*iLx@94AZwJz<|O?j0L|dQ5Gtg^8qJ)q1Jd3#28XjB-`XVV=xgJ z_XIRW9rQ%ZkxMLji9lJpyQFLa7aV&M^dzLlw9oKhg)RGN+XJ*N&Fmo~oT1w5$@U!p z;`3>Bs6$;CXOWy$3+1pd*=}lvEH{WvPbR1}sgdBU!!w8y5qrJ~hR9_#DTu1frdS^x zab#c0xrcZi9GP7%Nr{b;6nlO@nh7Fj#SjH%kp5jt9_``6l@B`oL|HoK$ASs;GuF6c zCP+3svX__K+|}R&RPIL9P-c~Gq=Xa z2k0dKQbyIJW~JPpb(r3g*M3x?!;a$x=CM$05H0iH$^5d!Axhr04Q5mJXQ?0?&Yx1o zK!J;YSZEE${Bg%3d#X>njIw{Prc+D`P z?n1N>Esr_Wwae6udEyd6`EjGK>g|ohg zrR3ZLqAp6poeL{vft;44O8$QcO;{mAfLf*Z|L%)il+Q`S-h zS0`e9mNBuEnmN&O97E>Jzr>$8ua0*(e>EYtC8Gxy8f46RXJc!{&sum>{99!n;& zkB0xx;8Jv@UafQlwxq>0_jG|VXATp2m`6hArPCYd9&@JDe)l2Ea{>rnUgq1BIfM&p zArY9k)98+gE3M7hN+p(i?B{1^yQeD$qKTKiWwApnmQUj)HT<0($&Dq$6%Aet0Ro?w z*3Q)js32q9&602tD6scQI>4Bzfmt8!M8l%-!^4p|hXbseIvq@~4hZgkcZa8-O0ra*feDKIpp zLt}&TC1T+8B|sqGNE3ZB1U1$#gbJeY=zW3kYah|S4dlB#pI#aJ8a9&CJtdfPPfa9* zk8oT1S3euk>7Eqq#upGXy5%U35Jixdk`8GO-AGG!hlq4{OM@bv(%sD+{_kDyym%Ml?(@C^Ij%Bq+;jrxYb^BJsXj6{M9XSBk0m(E-= zyjw^Rb4nj?jKsfNNMDDbWWVFpIc^fu?VFzMf|TpeT^9`{C^22^W0>7FL-rQP=x03$ z7Q53sTExI6J=2pz&90PgZtavKZj@{uVgwk zpySHhY~`{3EkH5H{J#?5ys#18rxEQ`h&y2+r(YpCJZQ6VH~PR|f2~DM|2}0>{EY=d z2+Ew*L0#&<)!;Suu`VOlVWVdc@YljZxYqv)j9)8`5R=ot;d#l8@8M2(?r3yAsg%p9 zHk?7yuaI%Vvi(V=XnZsquC+y9ZalUB=lv4%`6kaadTwwt^88 z&m3An!mor7;%+iKkzqT4p@aA-6LCoI{qTfRi`mTFLEB(s5DoX3gaxaT1u!6jRt@=1( zi*IC)cYhIY>1rZ?DzEYyKOQAJzl9Fy9MiQws_kqvsyGDkVIzKPk$?(Qktw8K;e$eg zt+KRQP>aeb2O)0#2$qH8&AG@NQYvb)?wx*S70q4+rHaNflh)Mc^}b z6*;vefE(;630P^x9dq6Rzpp6X^(9nO^ym@yfH;HMKL>*r=4&bdEsc7(iNOVcD+v#0G{1`YzWl-bMt@)j4P9iWOm79tDW* z8w3q}e8mi3tR`F<>19TJFl#|0_j$Aht5;%exag^e9S!)&_S56s{T;s->ljg2bHDfG zQ>JnBmjC@-aTP#Hy%1TCHk*9KRe$kpMq7>0a6yDA5F@zVE{VBS8Q+-snN zJWR}9gZn~k6j%?Y8b_ueIW{@WWL+S`odN}g-X-ND&n_nLgm`Rm)HF@^06tqwOaxkd z1c0#N<=Vku4SGIsVPIVr5;lr6sC@m>%b_1+qL&Oz#l;x71*H=ee|yU+Bly!)@8YL8)O+8J>TQvx88FF5K40xa^Ing| zJ3N4WB@NL-6$5@2v6i|A5g8hR^LJ1NEP>qM?ekHPl^<6ULhLBxaHlkl(g z%Kgl$@btsEK(5&*?M?KN{8o?FfQr9eWtBn9)j?*HOTqeIUu7P@5?UP+$^ld}#U)0^ z8zcYd!mb#`P92=@{95hZC|lgnS!N&L&ic3QUnd5ueGCN83S&CFwbGxt+W(#6thKQA zjM&H@G|EtTj>D>xhdR;$tTn|5=J2MG>gOzt3D#)a9Wbh2K0>21d;Fe_qX_r zG?C1CzVEVqFEck>6(^u_7y7rbNPc#&wrpM{;#Y))MtkKvX%{~21M&8BrBweSApP_) z=&`$9MUrt_v}S?6^JBiLdhJe_=y(+XaY5h}E>cUNoVK}j?G}hM!yO5_x8!=MtnTw} z!bmUW6j<`h+f}oJV{-2+ByPT!cRz>7xel7q4~3sLhhwe}HKvc`^T%7Vuu5M79Gy2x zmmsjQVh;CzMga5)%%Pu;0i#^Xk{OJVP9-i+^3)}aMC>#5dUY~R=lyxH1k5& z!oaV0C9uVsYtjk;1uQ=19tmrg6i zTbm&*-y2|_vpUPG?U4~_sCis0LNDg91{)G3ts715V))n@z?*ZO+X76sP8mFNV+N*} zDlUO8uJ}KW!dEP95)ExR`kGL9_fG{tsnd)Slm%u!=9Y0X~HQO2MsO$LqGrm*%ZOWu@3tDGAXQw%R zmILPuMo-1lM~gPE(OF~Nyc?w;`H@UJ>0We#b@N7zEN$TPYb!M^3~F_;^)@3<;;U0~ zqAP>MfT~k-Enu`&S1MfUP*CP)%<}9z+n-g9o>b0nyFwh(B^hfb%QT;KIh8EnMmzG~ z`X0HJGFbG2%Mfj}Qp@Rr&+pxH{UdW%GnmqzQCIN`?LREsz&BFc?#4VJ!6vsFs4ff? z`rgu_?pr^7BhQA;KUgw-m%xN7uT3T}y!IPk!|sy?pr9Q(oDRDXJ`LPLjzY&|CFW~Z z0KP=)h*cqIz*{1=AjiX=z4n(qvlehq*}N|qS9+}0|E|{B%m}cN0Jy@_*IU%z-L1`S zc|QemQoM{er%@#xJY82WwE@F7)|G71mK9=wYqfb*)o13jzma82X+e-=&6t>n}rreHvLATu)#aCcoM{g~W!%_~F<+UiC$54Vfj znt#nSGtBF|c5}#j$3@7^q6qH1To&)k9P->muqC|f%`!nOGb}E)Jd#zTfm>T*E%H&{ z*+BzC{^xA^J87tWtNR9DFcxNEwg>V{#KiCY!aNMv z`q zt3#-P;2Q za0b4S?*QDII@DF2C{P2}d#r6btL5C8d3Ox0O%gF91p3r{W!x>{ZG^w$N+jJGB`?b5 zUjOGZPEon{W-;h&KKYC*{@NW`=+~10#zohS&G5~l!6=r_8}r~MhV`y>k^pC@kTf(p9W?kQM zpAIFSY?PjWj{X%_@{cQbyS;fFN@i}z8^4+T%ZbUvHx3qobNq_C@Ci6~tfg~}8!0q< zmOlo<@ICiJPL-|PO2)IrcD~%FlXL_=qmrlJ_Uc5mm?dd*jUP(;Xuqhnrcf{O*h1y{ ziQ)$1=FTCD;GJYIQJb2NPF`+?8uyT0E%(lDUhaU19vkE9o&fL!hW+>+RKeWpr-AbW z)rMpav-88Zi`u=VGRF31H6KHk+0HGQL;9OE-B@q^m?ge=;B48{)EaRw!>)OXn* z`f6{`FNH|haug@LTyt)C3vYmb1AZTBR>@p-#G2|&_S|N)%Gv&V)a?dQm7PfymaDV~ zCPX0g4r0arZA>U0VAf5qs8YUVs={h2eK6dJ95kCGA5iqDrvZ>`t_BnbQTw_vFds1N z5ziJ8H{s_cgn6Z|zx_khP!>=NaYtO4Cthimbi=~TW_>edLNMY=l#115qL&6~qjhad z{JR8HWt61|aOc~&>diDa+R(&(doa9%~)e|5CTf}eG~*q5H8tkh4U3P584AgpV^ zp$&aLfEn+jW_E&pFk5|aH5FcPG#CvBTq^H;#h%q#g^=U`_2n~aiKGUt%rg3MEh!FT&QuG-)H zCsW`a?4`4_(%84n!POp#O|w;99IEQ~$P3~T0PxE{WgmPP5WLgGW%s=x>HU%ZU&XMFbIdffyH@^mVe>XaA4JCt-vVSS*Dpr!KlW}p#h99onRLGLjXGKb ze!FfunkR5b#s*)fUh$Yr0{9uThn>bR^p{Lo5~Q|D&(Qsnx4#xHT)0ptkD2mU`|_Uw zlOEECC?6RoK|+U}DQMHBW55-pDjY8GJg_Sce*vkv*2aX=Xbt@5f_JaPsk%}sBHm=W zp+Xxtpa9^&Wq@{2UFI1BT4ikW+l!!N*_WMN`4SJRYv28iz8Pdo+t3dgZBZy4o$bVWR zk_?b87*j9sFj$!fc_B`8{_-o`i|6%J{>5x9cf7kOJ46Sr(0d79Sju)@N>1EnBcgo8QPZ-Cc|}tY`n8>rcE1e z;e|TUz%^k(zllyV#eh`XMdt9MXfI08TmtMY*0y`HpCo)x_ZqnN!1bZrTw`NPJMN9aYt%YBdb%i^CrrcZqr-VAZl8F)BF&96*C-vJKd~gs z-JWkc15&r~TpxQSM5G_>RUKn&!U)?-%>Vo|$L8QQ9|lvs|(5wQPky zBnwV{EigquPAty8&N)C{P?J&G4-$(KmQl+NtMgEDlMP3o1*dd~u9O<)ioKu)9BG$K z;Vf&T#~XOZ5NF(5v}ItE$NLSZdWfznLLGs;7(Vzr42~%aPU8?=|W_ zG41O8f(Zcetor|47=TX2<#A2>s~<+Hi}no(R!Vk9fetJE#tb^_NM{6k0c!%3wUMY-J@ z^(yeF3n8M?$5i<{_eKQmY`VkqE4E;90CKb(k~uPctUmrvGy7M%QMq>^TvJbkU-9Me zupCY@)uO_Pn-vbiX7jI+3p<`#Mug2#giSnz!o}Z5A{`*5z$Stwr-3W#1|cfUY`>{K zp`qWCpjeuk%axw%V0PPAbMN4a^?F>FdGMk21!}zmbZgRPIik{3HL{-dgZ$+?lc4!P zQ47d@v+5k)I*AOk{A1`JkSCwC5^c*oXWgeu_#NU|>`7>g$8)>4X)gM~UZ}cq`4vte zH_;;f{RP)Yj`~W5zW503xV?8{>YykiV>|V|(>$Juaap1%l;>-MawJRv$0wQfl?jEa zh^Cz#UYwvJmG%8FhkFaUSp#87m$c)M-@WZb43|A`0&C*-f2i;*(9>IHq}t3mlu3$Z zXIy{p`eK~bpaiqf_ps`5)1xq!86%$0$PHIOc6~ObRjyHp`DP>wohImhA?*IVsMROt zEE(;C|3l64ZUN~Rf6+zI?3J{ws&EhDqho~1BQpe7!7A~R|&C^W%D%2 zk9O>|B+{tYjd<5Ps-B4|`A>>a`UEG7ZM1?^9`cuozYlWMv%%e?YLY*hb&t>R(m&o9vHy;@tNaD+?Nrtms9Zk#3?1SVATbxYMEsdV{jPo0{eOS)9E~-4 zs9kYG&Wjc)@#9^HV*T=BvIJwZHgjL*4coBH<8g-LUpp~ePi0-cq7EJQZa_r0YJYnv zCvK$y<@g5@-ieHoY@j*sfhfI6MU3neS5wASN5}njS6wbrEyjAB+D@@0M>CtbA8b&crv1q?Se+pz#->M?buWNM zGyNEk%O@u`X>*_Wau>TR(zKYdDpqh%=633EE&U@RD*m)j*%sdyjaVR9t``Fp`gtg% zplCk`8*`U;^@r^AMUf^<&ZRD$t(u5MJqlFQ9N{uBl1BQ2V^PBRqw{r|F~b20iFEkn zh6+jUgXI;{+oVRsU@FNIT||sU6bu)#s}P&I#*$E9$%FbKt-x)ydJZVxsry*^$$v8? z=FA{A4Q6UFNQchLQguK$t}FDgClpYpitA?vkyN0TbfuAeuylpB<#xq+nTSXRxF>D`1Si4gUYLY6n+Ax(geX04bbRF1MbiaGQ%#Nds5RNhA3$=-~pQP(#9yig!8j4)#0?v5^jvJ#-*>R5GNsg__TMzc`i9ILSpt*HA zp&0Cf`3AJ@u;Cz4zpy#Gi~DPp^y2xz_L4pB%RqE2MDj%x@{6KHgZ9pf9)f)o5@uAv zCOpAi)sXfwvStqfs%`bV@3_p!l+TR#9x%wtWFk#1NA23l)h8xLx!vA%ccqHO-x)La zq+dvxZ?MCw-)?ewMyK(9-Y$_*g1iJM02hqqNK<^K^KF&$V$lQEQ6@bYRb-!<#C#Vt z*nC^ON2dJGQ75>pcq*-)v46@72)8rmVOemW14hK{J1JnU+($ z25c-Cd_-~pqelG+Jwk(UJrwdrG z6pxe#aES?#A*gG?5ZUXT_wm*QcUBZpE&M4TyTHBRakj|fGzGhS8^!!U^)Ldz7@rJB zuf4GF21&z4qPok9nur6DGwAWMV_7!LTyv;&Q*u-ZRo4SscUM)GQhrPS;#di$;L;6x z?TD=o#C2`k-RB|Il$a@WM?AFT=1%T3UBP0ad;=lhun@_p@X>i1WtO!lxJvH34Ui(F z*h0X*%I_uf%7^aw9r$d<}qK>hFJh#!ocGaxcBw*WQHUx}>@BG;meyQ5PW~Vj_MX`mtU% zgz_`KKVJ*=dP|pE4l4w9tFfd`)t=&cFE6ES*f~5-YDWY^Up0o8!AhA*mHS>=(rNiMva_S?iME8_WSzstEt`)C(k>nu4EL%zC z3SHx(n~x#yD(%ZN&FT`l%9fPzegFE`BlLP=W3KcbY`E|jar@C6YSk!EHF=N+$MQb~ z3}|Lk_XUjzwK?IaRHOo^PjY8Fb=!Pt_0bqQ*8c(#LRLyWi5Bo~-fc5~Rt<@!dx<&Y zA=l%?6w1KM@Ir)!g^DM{41p-j#Y5hM625%OTI3>zD^5B$T|ds7{iQAM2$JI~6&3=* zFh>utx3krn#MI+2Skz1DPd3NqWUr+4!z}B4ps>AGQ=qxb8hEdEJz~;fH#aq5`+1H# z$D_CxZo2gLr-VnwC1u}r{XM5>UwA436_Vo#2k}|XRHO9|mQ$6B7?ZZjlyL--$i%Va zu}S#fA%R>;G(#!v)L9LalXkQbI6Zd^yyiqG<{t8g{Q)P-RStHAN(@C5xC45qG4ANT zO4VT^FD#6#tQDx7n8Y?YU^qwU@Bckmc&P5G88cyTa`>{3(0ir7D!}n*i&?g&+gU_s zRPt=PxxTR7xMth<$3exG^evt2=&64%sk^=78#cdrU4^v@L`on>mB^uVqQni1+!ADC{Be5ZBPL?BXM(T&fO+&0&g=ky+2tAHsu@ezA zU}9Orv72&fWcZyX%{N7H77psIig8Y7y8%KPRR~eoTMv0s9{BP}>owuk+cmumQwU?^ zKMq5dq;F|tE|cXWG>r;ugD#{js2@CRueZg-9(WS<{%JG}nRL8O9cjjJWxsReB57Qh z29M!@W=sb=#}kVBkHzumI6(zMFIfJaj!X%=D9ki#5LYH#I+tZ(%Hw7QT6l_j zAzkOsauc-%r=SzzX6d1dge|YH-i<7_7N2t>8{?*&$4&o68pxlO%J}m&d3;fVCSFmT z-idU3EO0Na)AQ!1Ds{?W0Xuj+IE6c{c&ct#c^AUfh;MdE%pPwxHFw+}sOuP~xC)7e zWw7KOkuBo9S{EL)SI-_afl-!F-dO*k$#Ju)8XO^^Mgi~dctd|RTB5TD(HQtV$H+)+ z?5mclTx0Z&s7wUH+lX&{N^A%^z0F*T`v~FNp>rR`T$31D`7Zubx++dT&I|p$e6^*` z#jlVBRTi%ejuqOUaZlID^7euCEH`q`478^4a&q5G(~FRzX@xWs50kgewwTYvOK48L z(lsoE#kJ%;;K^{(t-=lK;VXPXz>JXt%hzW=Ru0{fi5OBda$S9;y!T!8Ppqr9G9l^< zcXW0+Pk~a0e14lK1YGaHP%X>S&M#|x^;gkL^p^bv<6pBG8Vf$i96i)#z0_x7fW&=~ z5~;3G_*+bIeTNVvUuYg%lb7TrJH?;giGIzE|tkLYWWA4W*s!l}>GE8D=plPKm!eb$DH zP=qBMgRQjS&9duSkO_|IsrhqYrcnr$)gL$F*Lu8DmZQ7d9s44!nl9 zoFUGwW^X^0ObyE_A?^8L5QH#Ef@QPsy1a$#=d~cFys-mQ56x-TX|l~t=lAbE(~=dW zs0D7AjJ7E82DpnW^0vYIseL4MqWY=4N_XROT+?Cwfu{y3h^fNPm&0>K z4D3PFt)-`J)V5U2>bw{)z+;_@dimdpPjfaA_R@5eeiO%pnc<0;uDN2z#mStRt9d0s9HLZ`kEI z^t~twQw5^NaH^S20ig4!zmfKuN2dsv;6)6e(hDNd{KW;-khVJ|-&RglzV5IQBoU)a zZXk>rbjs!cdZ<4d`4wk`$pF!RJ(`_e!ji*g{Y!a#O)b44y4`LKFE?Q=^0>i5)Zcsh zaD{}j1*1_@l!hfd^}ZlEKPmqWH+DRCS~S+ny?oz|4^&{vn7~((1DmPoa^}9nL<|TG zuHK=s=sRt77>X6NQ|NTzbagBvz5kOmPj%1uF+q)eh2UVvqDwJ?v^-87Xjp<5VC8XB zrXJ`PsO2Y_QU;(%nBfIG$F}X<_wmifq268x*J0(A&0`X_ynASp5X@`k4dcKt3D=5l2yq=2&4B$?);In2K z*;o9bfjs%F8mOLC12m(iZh`DQT_sRD%T)MYe$tFoySxc#A#h9*dd~;LnPeFK(F-(i zg8GlnTG)uay+8ehW%yp_aSOHqiIM^MGczu#muMt3;VbL>zW5GhOLvI(-!;uYltBnv zAv1RDx)wcaw*qe~sE5Vr3Z9i4l|Huuj>u;5z+2pi=VMl=bhUf*>+AVVk?OejdT2l0 zFr_HK=I^(dv3nJ#uZPy^hPnN$e|#c8$+J`hy%$32$(;?1_Rg4ue4uLu3N!=5ST>Jn zhNuw7$%fHHHiu{owiQ|at9E<(M578*{wD1y+j&_&>`$QRc&E!0-ko%MMuG+K zNB>c?&rP0fO&IL+ZWG(R1n>F_M>VzOIl(!FDB$meTpvNxACDk<`M%m>5s5#s?YdE> zfyfA_xGL%LKQt~T6g4tlXywiJ2zLK7e#o4@f$*~5U2&^(UoJW*I6!%6Y2vMG`B1nIDxp}Nl`?*YJO7C4v*;fh9O!znl z8_2r2K& zy^?hfQNQ+jxXsN56e@61el_31#=X3bVCwZZVH5WL#&v_(78z{+XT?(M@m?*=U7e||U6@e8MdypbD z>D&`iIqnJ!8*XLJR;hT4^$(^bKm1q#FPb}1oo&$v3uIzHwY;c`{JUunh5qIKlcgQT zTY+fP!q~`nyYVg@r)EYg1G3pbIDA5C_|@#pwp$be^ZQ6XH)?=;q2C{N&VqN<Jdo-cfG3>O{{R+_(!-S;6$er`fXk~5QD4<)jzy;x%yw1qull5!4uE_Vw z7Z=1Gk!B`G@Dc+Ve~W^}-Z8ar(=7*e^T3de^gVohV5)nJQ@rV|75h2^95^CJV7uo~`EunlCXQG_ZG-CACB$R*9Hc+k)tKi{#mc&` zj0FrtC5*ZU+{j|b;%|IllnV^=6UCyr+G`PXaS}#M0A;4+KVT6pc^@CCHk0Nx*&HB< zjfAMDq-rr{>yNiAotE+WJ{Az1MnaPQbiYk53jfd+gTFH=e~aK#bhhQWtW~h zuj6&`gA!U^RQuuyhXQ@ClK?z zszUTW?i_`P_9|K<76+0FMTu5BKyNa&cj6jWSEN>`Grth2C8wbpr6qU+?HmZ- zFloK8TyaIpH>m9)|D|&~aJB*MJbLg|iE`vYl%W|^h=2p!lARwnv_8iVwzop=)|Jsg zuT=32dqueemu6hmqV()wF2z;p@8Zw0m2s2x;~q{}dab*%Mj3n+VX9`5Iyih;4=kM= zB;tw$z5l@LNF?d{vHpN{w&Y#KDq;sv;D32hK6=R8c8RYbZ{uDBa9*a1l1M9@9({%} zw1qXyOimvD#J&iL+@UM+fhV4_ZV^5j+&E7|-~!Z;1t!37jU~0MRLQeUDOQDuW23O( zQD|WLlkU=mH4@;Sk;WvOtw((kc^OV??v$3#*$R1QiOuIfBt-p^FDc$7KCm#!6dKTg z6S#TfKRq+OkIHO9Acgwf9m7J|Q(#Whw$eIo>^x47cIlp->?+1^b&dfN+n9L2G~+t} z|^?m<8OJkU=tY>8Er09VIsTDBf(Yk-oBoy7J547wbJ{bG z_i24;QJ!MqIgOUtrd;)L6M~cn-VZkj>u$mWw&{=O2$GJeZ_IYCv|pqb&c1)ZtkhWK zl!hLEk~#X$p0*N+l+ndNd_2SCxA*CQ{>;-;{*XFA4CkKyeg}dk_x{zLdx|0Yv9jk} z+Hq48R;7^h9OTyyU86#P91hEt-$5lM>xOauwz665uqqpR!db`9Lh?r3r3KWMu#aC3 zkznm8Ry>-*zGMEt-ROz^v^<7HRWy68n5s0u->dsAC% zg%FAy%vfE3ce|6LTD(#BtKP%b@*jMLQj*Djz4w zD?L<|Y(<1~7r@tdhE=%Ax*(7%=!EJZ+VUCt_#3_8*j=o_@d z{sNTP?cGH@-YW(TeYek;@!bO}xX2}&uS9K!jwu|yQl%P&NFa8IUYhCoO1J;z#UINq z00+?Ls8hS66-g*!$yJyJg!2&c0%cx4HsKi zz1%EaaZ!gM!Q+`+WGRd-`bb>(MbsA_SnO)mVL!xN8`t{-PcVEQ$DZzE^s+EGRL|7jnOd-{feO^MA& z*9EFDnWLK{c?A2?iua&f*nN&ln%#kYDF}c62rKoNi(^7uqbldk4jaXbvTufx%Acy| z=YCf^38NL*LPC1BBhaQ}%hMGTwj4C%0t?yWlhyO008c&M8G#?gI< zE*KFsk{l@<)oy0l6ZMBU=IX9Ux$xLqcMgS>`iOprk+P{13-(CAsP@zx9RE1}pqG1# zfyk~ncvbDqU|KvoO}OtnWbisPq|y(!6;HvrETQ&K)44cYzYNorTUJjdcHC=(iWDa70-0qI=p?y#%#K4`cYf77|(0kdN`}j?zS3f ziB%#&OS5Q&4TXk)?xFExAXUlcey1eoRWa304)>DN{jXp(OD2Z^7C(iN!Wt^P05aqJ zf*wyfGcp3&w^2UnGgSOdh>qtf1M1aGiQ_(#3kax#6R%_PTxk+5d3!0*y6gtRzu_)h z3?}4O<<3Pu;T*;gEW$CD`ttg)zhd^-ZfN+-{YXW_|0*N0&75JQcs4->4~gHkE_`E~ za9~1kqK`Xm_h{SRI1`cP|9$8Ye}8K?WTTiBCFD|xMw(96C4WXS?R1OszfVuHzPwZX zJ(eJ96VxEOq$}>|jJC0z5tCNMY7{Il`@4!-1KuZr~P{U;j!(#Jp1 z?SbSxX=`IUcY)H$YcRu03SoE1kn-YLd@R+mITM6=4p}#*lgGYLW8h!9)fDM1!D*v? z^FblK9pSlMvKqX@Z170xY$}uW(d_6~3CXxYaw0^kMEK(# zpZl^xbIu0aHgqZMu}Jviy`{#^9a=rZWT9ua@=+i!7?^4)ffEj?<&^MvA!=uLX+KyN zl8%25qiMNwi#+A@eHgY&X7QobNg6JvkwNOo}8-%J9v{HpGhnveG=N`gJwc=s_wzhi6Y*g$O^e-;xnPE%$sfB$p zQR>C%LzCDP!oBS(QIHz-+ipVoir*c1@q6JT3BJscl+ko%#p5kZKr^ObX%tvCnS+r9 zB~g!e@e*Gtv3r6nT_P^_*v1x7Dy>xOZ!bbZ_Oaec!M<V%6qC|$fiKJ*KUf ze$q%QQoKTrJcK0%e4Vx~jgTHRYKMy6uR7AeG`aO!Ol zikB)K)n6Q>*L2I3*{|b!mKj*&*zHQ&sWF?7$j{~NpTF()(aD6+VO)46Th%`xRrzeI zAuz|lP!AconDA1b%m<;jweV&Iz6cri&I@Ma-ncDmcdr@GB*%<{D9?gmt1eP2g^g54Q+^cmuf^9Vu)h zHTt5*kj{#5GR7b-bVdJIBET=<==MO23isy*^1cXnsLsRUENjm%hblW=)!*?@`CjwF zaLG{iTXjN%$hXRLGtK3Y$H9vZOYs%H0=}g4pJOqi?{(#6ch31ShBxEc(=MIA_eZzl z_izVMxK{i3e_XKH4g+!?U#%9%dj(^&yR`7vTKT~Vk5sr|y^Xd;M?vqMT()v`$wf01 zUAc$%D(26<{In>r!X+zSRMK|qD0pSac$0%;*Y!T^&k;!y{p!tkA#Vuw>>qSrYh^b@N7T|ktAoxYIz}}e@@|RL3Ld-z~ zrMIyjeQSPshZnj|1UIOR(SMv7ha&OI-d5y#0oQUwcsw;uhE!7Omwg5HYTZb%$BK>w z6}L-6!u549qR#{Jr$g8wFI>hc>)k!5kCYt(#}$mR2ukR)RZfra>r3%rjkRE9IAb6U zS0=dr$Nwl+elhs50sFYEn}N6NN>#$O2c#PuMBjbT&J3V2X+-Kfl_yrLb}#$MjD&Wi zLHn*`G2VxpUatTc)V$baTxkt4!BZHTQM60eA|m!ZlyaKiaF0yLPt4Aq?3mRN-$y^5 zAIl>vcsAXx+`}W$Boy?#r4?r!DQvX2V@9Ze|HrEscE#ayH&V#+nNv~|=kqiJo6{Kh^y*x8jFTrua>#nSrCLf1Ci_uFrl z8=5X6M~w1^De^Hew5F&G>*GNYf3F|DDbvY?oXis+w9)ym*`^&+ zKkpU1c;c|tfA&d_{9$PCu=RVtj#DYK7);VE{mY@^*FrkK`5tJdf8n3NVP1&P$pL;(>6Tk(}$| zXPX5*U$^7QVtN_G2@iH|GwH_&5)v>UF7PMgH$>`-+8-O(R=8;l!&Uv6cG)X$+^+W} zNbrj(V3oCkcO1}pxKGAUgrSZ&vO@mGg?-*@d8{t2WZ>W!Z&RgA=AS3)n(?`$`s zV-w(cxD><4_)z>UfTqW7TECOsKXy}Wi8hsVgK^~nsA zN=xLmz34QI8EkPRO@3!Q%B;>O)!A6{&Ab8H-O$pb1(awD-V2_Gw1p31>PoLY{M#Xn z+`JS1a8P_T~vnc_-Xi6!(=xpyB$Xt@ynS)RT*K**;<+OxAWgP- zeUV4nK($@Vgz=#0)qU2hc5g8tOdqxSg9L18gWHM zR=O{;o#-O==U3x7UXZ&G41omHWl^YKTzfe(mBQtqEZ>ddB^H@4BUI^-sR&uw*#kyh zBu;G{MruAeb)HX_^kln$;U8NVT9nLvD@PD_t|R5e!ME{HGtIlSF+<8bINVTKRVvme zT(}9avpG2$h5N_Ls?rV_;1ZEW6)XScuaoxp@t3Ws*8iT)AtyF$Gn%1;k<+%9P20gPR&}r0^n$a#;XW$W+o2j(ZO()Fyg< z{HaQt$|&y7ZVO7rrR1kwIjzW-v6Zz(eOK7R5HXasG8T#~i}6NrZhJNqIMau5NWT^f zJp8qmCO_GB0G!!G#E|8-gn}nd{oT$v<4(cy38os7Wh)7pQrp0Z&Xi4PH@)YhP?uOg z+_nX;bNY^Rg+5p6qf#i(2oW_7k!6E05e**O{at;mZz5ZfCvozMCeP#ECCz|q~3{0VFc z4ek=xxfuggV4E{0KQ+_*sAMaV&batqp{3p7I!*bahZ8N+6zM*ja2x7@$PX755GfmCK6f&sZVun`e2|Op>9m zD^bNa13Qh1e5i$eu5Hj+8NGA)t=`Y7DsMp*lB-R5T2$- z67CUg7!HP90@ev19#Y4D1HMx3rbX6$aFW)Y>dw z*lAKvkPM`v33WKj1%f-KZvj?Y!+5CFO$SZ{`r0g4r~o<{5t^B%uJR4v)&~p*%+{LR z`zW-K>XXp2x`!fXOqB#}7P^WpI-%Uz>D!0(u-!0pW2O_4IOGXpsljP`Lutg`YFTiH zl27R_%l#gBFi*+2hz!B`7DtTX>28F&{XzHoYG- zVvG@U{%hh5@yn(TjrguvDB=-Hn<@O&Vr!;*?w7Sy2E;tV2o^_br|6vW6hR!=8P*Nh zEC(OiS+v{xHP&v8a=}({BzRXeIIhPiYkIODEB%`(j7Wv$r(#_fo&&y$kf*8oW1QOw zfl2~IxSb(g>bxuLG`1(=hyB`*XaR``bF9}xvbb!dHP>SruExSKAAlSz6U7mq5GZPO z6_uO>PUmV|T%6G45RMdHwo=|FPA6FU&uB)(>8Kh@X{vC){ad2@nn5F?pr_VI0=T@t zPl>+JQh^XWZ?0g2Ci7_;l(fID-I@I$)*BGOBeWuLOwFG5@uwcFomfXnu3 z{`!7Lqm6QCA#;E~Q+TWRQps5MA35bq?U54mtO22KxHF=7oBxNYw+@K<`NBrOAP5Um zOA1Ig0@8?dv&6E5C|!~(f`A~M(v5WYf|P=!fHVlwA<`YvoxX#=d+&Sy+_MvB&YY>| zIWwPOBr?4>OY>u+q>(oLk=tqi@*$5Y%|PM#D0*itYc!SxO%U7h-kqrHdbSXMce{ID zd4+b+C<*~8g{{)A!abX=mfzqVMq3R^g8A8)<8Sdb!_8RadSMR;1I6A+=}796nbSm1 z{}JVAX1S-ibY%q+;l9Tu+qnD@eGu#vLldFx!E#XGAA4B)?gleunV7!!4vgqX!cm^1 z+?&P3ipo+_%@pTFT{0gOK;zHm-@07c%ouC*A&6(oTZ+GR)dV5?&h;A{P8p3D#ZjES z-;Md;sN?)Y>3Xe!I^&4_d?CJoaElAg#a@-t0{hO3<&TSp1-fs?3RR(+9AfM~4O}a? z-pjSgU1`e@b4 zNh;q(snc{AH^IoALs%|$&j6*K<;G?zOXFtdYhB>{`SLkz2==9_)p_%0pTS`-@o=B! zlDnb*bAZ;=&ddfMbw6t>9uAkV z`~&XuC0m(1NecWfkhWx!b|b(L{r*0Uld>E5_jZD&dkv0tm~6Gcn-tg$61<6B>mKtX z*^(3e5Zj%+^!PYmn@^R;!^m61MFaP*mM@lCiJ$SqxcXwQMUpcm-EMOjNb%F6PqKre? zN{o4O2A0w4fATwIsI<8NSO`vDc$t?;dqYgl<9DF#{WIVD)j{qL)w300s`rEZ`>TVZzKGiB{wg#3#t7}j56aBd3(UClb{kLnx=^0dB#CC|--#*N7(Qf3n!_$GK% z5zyxVguG3tcjw47yhC$!TLMY%K*DW)n}zenn1661g>ir3x&E^Q{)xcJT-x7XTBN`J zS?22oa8_ddUVG3TYAw9v0;_a#^n$x{kgy`iH)=TCdnZqJEV9e&yU{P%==PJC040SF3&l{@q)Eeil~mj;AVU z3YF)0d+Bo!jL09n;PP4i*{c()b&+-x#^_yQp5>hww@_rM)sP>Uux^PLl4XP@X$ZXr z5WM88k+ki&kX$1)c|$149Y8l>pW1eV`F)Jj7j=om|6&dLE19BMg9?Bf^f8simRe~; zkA8os|GYLvLgDeW|CRE-mPf-kW&>^`rL07#aX8a+?aQ&xXZ;z>1|hj%Qs;qClgbPF zI9W+I*!!wY(VlUK@)e33rfLKSRV%yEhw8yRKgPX4C~K=wk7fAY?g#Tn8Bu6`Gn;w! zjpL&&`EM3UR;6O2Z%T#Nk}YRDysc18*5FsVLzM16>|C9d&bQzr=}8$iw&^_(4c%Y zn}d{8f$EKvBtWdjkXxSb($dA~{M|7zT$BkxrAJl|P}tcGka#N<))fnXE5zM=l{g0XqLJAV0!d+0byUC*0xP|K~FL*(W!33p}TgblKe4*tX z{_w-9%;TDb^GoLVu&@GHOrB(u$}widuj(QdkDntL(~lT^&{Pa}Ei@5T z+BT_mb0m`Am2!>z$`#(@4$)#%f6lBHH2&O_Z z*ooM}pBhuY3}UjqJKBHc3p4)2xJC0Zo+B8r`s8I=D1>AIz&>S zoFLUvQGCI#3>XulLMoSAInDu0mLlL3IpYw6dCNGwSX~qzd}G`VdmG~k89n~PSXrdf zmRX{&?IYPS#N7e&nexV-d+!EeVIbEXO71lZGD>kk1#saDtyy8 zlp+EemI~MB8(b?QupTZI>b9y)%7NhLPvPk>2FYLYG2-9QJsMcrGAy;Ol`oO@dALE( zDq1tkAs)7Xh&Yc>_Hp*~z&zD{*cf*|n! z_;Zmi;h6!kBm7I%sX%$v)y94p;V&&-vspzGwJ8whefzcC=j~05xDEmKZQS{xDZIAX z=g^VypG7)3BW_k@b72sh-5dHOcT8@bYoDbGM^s|>XYm!c z5o3WnCYnZ;`^t6&qNLW4*1?CO0`Z^rXnJ!CQvxvdE$Z<^{7&crvqp&>!~GH!#|lY9 zg5)OkxAX;iu;%#|L8AMDRHa$v`upVA^y8dTAQdiXZTqp`Ggu(b$b&bJe@T=Tx`3Bc^{KUu-zqjk6@N4z0LG-A|K};-?XT{;hcko?qSFDslN^LM#in@Ewq&ii{{$4$xn|jTy^L4g24}b#n9J2oJA0xt z_ks9{Mo+4RVQo>VWPwHMOQyMGmu~=Oq$Y6cUpuM2=Gw)Th+xIR6>Z*VcW=u9ZLfOA z`PyD~MWeY}Ekz3O29x_C(B?B~XVb$q50`w-@n zs}B5~Z$E2TyJDqs%ORm9hJ$e0VQ0^^8~RXptbdulpu7$(U-waMj)LvE1@u`eVaX-7 z)m}ra2p98DMVWMPZV4Vlr#2U3C~}RFG$dXbLmJV>Nq#Hp2z;{wR|%~cbz8C%8qbo% zrPvBQSd!QJ7R_WNa4~wKYt&Db0}AzG;?3R6>g$$Z-t}N~zMH8WA!b5lv+n2*%%RZY zGyQ+ZV4IwBA1Ws&J)@Cyc8wxCnG8UPsgLAjg?T7t%=w8L5^s%xfYo#Tpqb4_b)$ld z>VO1TV8_fYbd^$@#1I6mjz9ma`JU87=-DOl1fYtd)5aCF;B*|lY+s+AHKy&3MlcO~<}mZ=FPesei>>xtj|g1|yG2zvG-JdhWt(q6W3 zpVql%2R{K7h0}F5Y@x0bO*@Ltq_QWKSPpp!7H^u=X7wPogs0!`Sv9bvqkd`o(6mrY z|ZKi`CQ=oPbLT=u{}5xL-H|DK4-nZYN+9bxLi*gXE$06 zhpAqvtAvKTK;WQc^+sH^c8|6K*{lr16Qx2-u4j$=Ua#P3BDgKF^k7S+zT68qKT-Ap zoGy(O1(&RvXk3Ueh|&mtW)QaXVPWG@>#!i2;y~f$kYE&wnb1EEbkH={KgsBWtlxOG zl<1GQ1QR6Z_YzBHcje)|9`o4YVEa>Ku{oq!gNsshSWu9tPH-ddb2u!?(2_%{)w@MuUDHXWyKxz z2sZ`=b0qf?<7TIAVWw9KB-IJ$qRh`?xWpT;ZOBb6i_j56&)A~3vK`a8s||L{4t@Se zG2Fh#y4H$iK0wI&d0wYoRsR!=^599D=B(N#wa~JPhj`ARUCcmNMv-&-EVR2S6jwB6 znbV&)C2;lq0Wp43rM8Q1R(|@-B=hd~K#{srV>%nJJ66Aw3X=kGyJd{BxMu}6aH(gt z7(3NP`cw@MFZMH^C}5;JsW_;w{`dEMW4C61jL1=44O6y7$*e>8&DE}efO!VtV$;1g z)T>Pq%a;0S*PoW|j9*{Enyc(pDgkS;r=T^0LQ$Kgp|4-PQ|XWg7%{nnf`9(nBPBKE zGp2!42=0}^n&b|F)){{OT4GEp;L_p_7u3DDHQ>kplYrG=(;@gbVG+Kxth35S|5e&o zL&)CRRv&MHOYfkTz{d&bxL^Pe^nuUmG~CZCO6Sidh6dA-53RYqhn9l-dZnJebL7 zAPx5TzmoC!JdaL(PNM{>Z}&>;nLic&s=j{#f2xef$dE#7xOL>d}sC!B}5|qT#HYbv(9aVKM}Inxl#E8-(rBq>Z9yFEBR!#r3F_8;dFf!+WfOK`v<~;0flhEWF;>xRX0e)MA8J7yVXBQCTPn zFxl6Ic~V7bVSc$7v)QVIS*dPRO!f?`)tZ8%QztE67S>Aua%{y{##xSTEmtNH+R&^p z-eHwTPg4?bD7~n#wzX}~=rs9i97mc!VAfLg3t&a~M%(SpeU^nhA+qNkJ4z0WC zAV3wAxs%ut*d@2cS*!NwR5>rfOvZ$v;17QnkoD0XwM_3R(u&KLJxb~5X6070!JNm# zc`M-;FayOOK~7UFnTBmF6AyKBNz)Fj9c|t&2E3!l^p&tzgyK+M7C-C}a#2TlDxKT5 zY12#70vZTu-_D4y)qhgXtSO0v&I}``txmdscPkNMcXQEGyEvXM%WNF>>!Q^NWl4$H zLl&)tYGBh{oivf!c|y@LUzlUF5s@s*QHnhTnvn$^@@aBfqsZw}$EDbV6UOm#j7I}p zIh1#+g0}L%1mleVer~*>J8aAeY9rPbtd-LlMW#x!R*F?qeejnOgo&6(q(<6SpGnrl zGL?kMNcZeFGe4XIsun#>8w$_{eBB;<3aLN|0$s|9qU)dFwu@f{P>iWeS+q>lpwooy zK}hvc_qqqe=!Q6E3F6_qF7M&uEAVD2=tTZ(voLLD{cDVWmc1;+n{U=A!cJ5BQa9_cNvNSv5Tdem z9EusIl7=(-&n`2>p8)0JamX<&JKtUh`iJ>K38cVn5$Yv+<%!-`_gBSCTK1vK_J=oe zp@Bu`WEx%K(hqkwr=S1z?y!-2n3XNXKK!w&jIys-U-xQ;`)O_jT8;gvm1U0q<$>0! zUC4SLK(3c|F`i0#eLDz0Tz6=q*p7KQHXAe45?>%|PFAMg&k$jv_#b@KMn_ zUDHK_f%-?;P3{Y7=hQAUQf%oc5zsdV)?&FBc-4y%{DTUSN@Y1$5*dJQ*4kdN6>Fk= zfQhC!LrjfWEUSNUZuYf@`O*`M&Jpel2i7hc98P*{B%fGUoM&$BdW*w{B z(&)ZieEr4ZJu6H!_zbbwfsI?PC$&@XNeG98^uREWqoi^52M(CJt@`bTv^E&XJ@MIL zAUG$Uk9-i1{sAtU{tPh^;pD#t57o{wra)z#ebZao7WhPMl%`i?j#D{ATp3mj;uZGDqN|>5kDGrgJyJTU;)SNSV7a+elA5LvZgD)~0=|%fT6eiKeUVzLHNv zo1$CL*>SGWl-m@1(bmJ+40hwsWMH4$UJ$xo*#u)nuy$j_V zJr>-ZqsvRjrlOgp%a*g;2UpnA%|g#x^r><(K8u$vA7gYS{U^Q4h;bodc&)58KN-C~ zjv=>I+ty^>&viSk?UPKcs6e6V|9N@WWCf00`e5b8^&OPeZNcIxt2K&Ho5p2ZVv~V6 zpY3VXiopym!P6!BBp<)v8AY1I8g@0doT_?mWn{iLC( z=tYnHvSt*$54{>LuNKh)l(JdB9Zp+y=(rzhCXVg~`UYUfCS1;cpyP{6s8B=2z8huL zCuD>XhRi7XDP3?**oOXEo)tsZMHnUY3Mwp;Ix5O)>dw3X^tT`!pkq28T zxMii!jqr~H)y`Y^D~tQZCrBCXGQJ0R1C~(LRB-H_1Za9sGL?^<=~nHf zioOy4#&5|V2fYQ)%<7z(b~R~aZ=Pc_A_b+Mwlhd3%`WT^A2MS6dBwBq{oFzWVX-mz~h~gx0s0f8bek zFJG!(=r=}-@W_U2YwHJ{^S#ZeP_r34`NJZAjbJW!LhPR3HvNKZd2Z>}tG~Kf3w?^n zI3#4~V|#uvoj|Ef>1N+Sw1}GDVho$>nUa-w|KqQVnSJq#eB;h<@lqZ%j61-%TivNB zzP1#l|HPt+_C2$N$b-i=8nZhyVocyS&n1bUDoowA_)^YS3{E$t)iRC+o(2GHUP@2S z=u&SqzRin1V@aN;3j0Sj>?c|{ll9s13q{_gSxMB4=NHogKJomoU^?aVTLB@gZp{G= zpPca>5wnUPgGJDC!lN=9>E1?2ZP;mTxt>l$c08DIv($+TS!$R*pyqK7UIi-O4Y-Wi6ozEy3v!bY^E<)Xo42e%t(tdb zItpeT&)w*KLti^)Aq83Q(KY#>_^R`4uo9y0CXJ498el^Sliemzftovu;?^Frqlf zR}-cz1R87hqmu$n88u3~mCE{z(-PT2E(bUMi3mS+D^>Ox<5GEcDl60(LbJ!s$0j|q z?BCeDEsz~5@#gH8Q?Nd%LB$#oL(b0f!WY;beV<1Y>DBx?$1O`u-kv#)P@qlUOo-ci z_oph-A@x@^&#xJn4)VbzuA}+b^w?8_`ujzfYMIkpQ;%+f>S9|zojRw54yE|w{~nSJ zp@K96#FL;eTYz78JoDKlu2VEGf4yEMCJ_n^URF?z6@1$^7fMWRYxl;ZVGM2;*?Wl~ z95!n)_K1G?L#KsIF5jC^@NDS#5kOCAAWODjMPZ*)z06Aqk+{n7X50ll&HS&6_Gn*! z^a&o&5*PIvt8g~f(W1``E&y1DdL*AO8kWAMT|d)W%q_)0zmyVgrL~iozv@b@B5r{V|a22ZEHf1_Om|F}bZ4S*?{s*e?vtR4?TqRIHpH#c5{Q z*!|nFPbyBGQNxe3S#U7s5!fVEYO-ko_{ZQay-& zV^!doLw-^~M=$T~CDANb$u@`%e0zs;>$I7j1$RHd)hsXQ80X0W6`#k`%^4Wv=C9&7 znr?wNO90Wa(|7UbRs=@BT9Qz9Q^fZ#)iWm7h1>H+|AcKQ+a%-vL|2?g*ER}$E|7%n z|7Dzwx2h6#>>wg9q=6jXA=Z+%fxJvo<%;O_FwREzp&iZiH;j`d?HNPtag_)ci9N}K z7A=oq+_z-~9R!~NJu@(TsuLk zZIVM**ML8YHx4(@x(UWby`&Oc(LrgI{R~mB1-!{Rce`egh9kRheuwnPTZY5Dd%59Xe8*%C|__s;-^lQS>d{1fch4{n@R z)_{$)rYq{BsWr zHemFfD6#1Rw#PHU*5z&7|Icuj%OU;-+yB#hpwPYbfxdegg&caHI};mF$RHb|PHf?; zqOb1Fc-J6h11v-$F07q^wXIaeS2r5NNH9$=So!d+v>O2NqcU1c?}#aCq`mwHrfsOw z1S9=R5Pg|vPv=-G8>iz@;gzkVbVp}&aQz%OjkPdD@8wW6OQ+B_MKs1wm05a^5!9;R z>*Y|6?=Z$CQOrVw=<+Ll=JvA?hsKQ~VIH4gMy5dkHoh^ws8HqlZG=n`AcFPb~Y4i$rrlu0{*RR=p z(k~4p_J^1WOQ$tyewS^=^aURiw)lw2%bB@AI!aR64s<^T-KyEDqP*QOh(pHt>7RoG z+J{^Fe zN_Tm^l+#M`EzE?Zf;j>!Ocg~*L53db&LU7EZfK}f^LF>dJOo={>nSX5%jb%SY{YRb zK{6k4vbxDaX(f}FI-uXunTSo%7b`_dOzO!*pW7SHo$B+`;?WDTyE`Y_a}d8f2-=8C z_?>vZdXiK|Cd36)6r9^N;{h&Q6p!-fs3)<&Ii$-_syMc?1_>Bj$EwAEMxS^yP5U8S zDuZMFf?^^KiQ4K;^T1B!MiUSx9vVaHeKa^2;(B6$Q8#9_dGV=Quh2y&fR(5x9*1pL zQL8N;pz`;5mWk+feugbD{JQ_zJzsNTTPXS>Eed-RN~p<`bZS#mA%q(Hukb!GLw;P` z)^-wIzU7fn4hG@ui*RwYs$pi6JS+c5faLh4&WL_!&nDDBtUjg08qiJC-hJYxRqp(L zZ&2Bpp8nuq`0?{pCrKhJ9|~-A8g~}Ajl*$vmnZA{whp@dggI6+f!xL^Bja9&ShOGk zu{(=uaYEemws8>#sgM+WhW7=Z1l$Df=F8Zoiv^ zPiIrJ&C~gP_>$wZF*hXML&5%c@g#bzD4W5H_EkAL>A^q@!&GZjzIWrZ8frb|R&A@T zo2ru2jrh~+o>Z0RW*pU;5M$IpKk7uS@kt$3F^MgS(7n|6EY=`I8`hU5vwWI;O6d8?EsS#G*lG} z+$%W)uNHY8mEgv9oCO-JQr5vXS0eT{({v5Pg-@lQVc88~ixVe~AZ;7Vc1vDdcV%;L zP@eblFR}voKjz)fvD$|hy@LDk5)ZGf9(Wy50IcQC3Ufz9L3UYt+jZL6JcK2i#X}^@(Y%gBVZ}5l^2(p*ov#{lZ5zyz(dvc>dqKPGzW6Y$FF>kQd_`4va z3hO}e5!-#*WwiWX)k4m)ru%-5^mNghlGNSE9|g^S9pO^-KLw?ttkA(TA7!1jd@qIc;0jUs~#J`M?x z(O4BD*7;e(teGS!QEeOxB9*z_SOxNac{a4oWKRBgd^_lKbM|*D>2JH}2zdP&b#GgW zKNB)wEwm#(5c`3X!x6B3ch@dHJL;~%@tu|UZTFf9aPAUhiK;z1`J^OtM+Y)V34BJl zTvlnwr#j*Z>wCP*}5Qz)j0uI)cG76rn4_4`Rz` z&BZy}A__Wm*`MlJKUuzYH8<0rZSEi>GU?*<1JI-%9=po2C$4FiU~7afIzML{G6OW?l6(MFLBgqdS(H?sJs;M;Sn|BfpwZ-qTYkI@QV~$^N6Q)k6r{m3 ze9rrR9#Lp!$0_TQH)YZhhX>|9_vsb5wywUy=s>IH#i<2Do|L1RHbDbHz&)1X_mqn* zM2U;x=w3=br!>XD+BUer6ifFcLbvTnd8BD|C}RM9u^sBMz~TT?5kaJB0zvoL1Mvrn zo(p6*u}ihVUJBQ@%N>w0@P>CI9k0a%?|%6I8ZjVPb~q4@!5j?p;bILgU>+ z-89G$rbOsEk2Dm_ukkGH9eSp+On{W}VfCNMPxvDDLg@pibd+P`#1MY~5mR91Ln^RVygU9}oOIrq$QhehmN96!X z`%o=0Ty+HUlX}ll&$iq;8vFI~ONTIQsUk{FXrgA9eI7D5@!VDG6M<+Nc4W-+MD9&O z){Fr`Eu*6^J$Br1$({S+Omyi7RtZ`&&>}ao^xUcBxu8RK@huYQ7dNv0rHPbIosqYr z-qISmNzO${oq~Qo4(lSh*EB2=t+#X%_Fi_KT>g#y0Bl*zKJ=9sZXyEtC*u+AHdh}X z`iDr`BL7z;RHGrhV|9Dk2Fr)NYjZ*T$dPQB^A(Dx?%qC>GXI>6}s2KPq^d=X3k4>nssxg78-6L0m z!716r&YqmIckG=BxCmlFxQzDQ93-#SO^D?k*u4#wFEu`^5({!{Y|gQGgR z5aCwRTw#$q?W1I}TEp~NW>3s`DkwO(Jx68|F$>5XJ)XL3nkf&X z>>qqsNt5P@h;v5i<^GkCoDunY3f1|_T~7-9?lft_u?4PW{D;2aL6#oE)=_0Fcb>{i z@=b=Gf%h|l$QA?=p>jL-OQ*wxgsOCOk~P6BT)&M>Jn39FdXj75LBbiPD5=ual8#BZ zem5C;hgybH5sB#xXfi2w-qedmdcEthiTm;te#oE$k2{gGxc5*L5(illPuNw8-Npu& zr2N}lK5I{+KL(wj$Dtjr>hy^d&OF5oP>8LS51IhvVQ{hs9 zkv;9)E#{VvyjCo?8hEryU0<`kQdo}@u(A%0R^q&@>xg+G#n>f^a6Ec*## zoV^0AertqT9`vt6$GW%YdxcS#HxQ(pWl8QlYF;WVp*?Hg3puFK5X7aaSUV)%-h=;z}Y-V@Opr`E%Nwa0lCnw=w!lbQS&qBvfUzwp%S0v?qDbNJ2xK za9G~*vp`>dYFj(+E=oO&O_uGr)!dIY%R5n#rZ^Xf{T!!n#$4h5k%VgeO2oV%rKvU$ zw&e8UIA&MwwzKqbW?V}f%G<7qOSb;-11vMSC0MXmF*=`yIVXK3EoaWQG7djsxs|eCi)A8-IKX}L-HFD5M{Z~k-^4^d*=KCg`Y)zypy7a2$JF0g$y0)Pe znv3iY%EcUbxS51jmy`VyJ#cPAJay%Hv|G@=)om*4{(XkYRnsx~W@eU<>NQ-^V^vsT z7?w{Lu2qO$Mna|2x;8Y{@U|$qAn}}%)Vm!#AB2)fvUM%$DM%FghF%Zm0OPbju>xW% zndd)B7kD}qP6+E=>@hURoZyewbSjh0^4vu-4)&tq!`4$h;;|{-0S)l?Al1Y#B1K*` z3ySEQFRcRLcTAr7XP?hb3F7o=x_-#8$jyUiw$BO#YC2qd+d?S{-Y?{{d@`>m&WU9{ zlS3L|RuYn(`Jo$)Xw)Fh0w48z@~6?Cd&D|MAm1Ybn*EO|Sxel7uQA`xtY6W{SNW z#oP=D4+>pO#Zz4N#8J(I?S>9D;mBwqt6>s_heNhw&+@b5bcwXz3QK*t(ZiKZ;?ZEw zt}ps8UYE#36C|qR6&Kzv@LkLNPc5c<`MT>rwXx{nZN+AiuNumpET=COA4_IClskM80jxu=_L%z5U0H-MHYhhii_3=S7IjE)EII2v@(T)_#cy;lZPo}%@C)& zCmm)5i|T>>&$@nb#}wV~ufihP_rEbwnnLSwwYs^}{SYZT!43gV#^Nw*hIxw-PO$)@ z)S=%u%n!U*0;SSE!I|`kW1|${7S$}r4*ZihZahURYneT27P36Y4S7;ajrAze0+BO0 zMY#Aw~mK5h>F;dpQUu7u8g9;2~w0q zP&qb{V;4^)(-2@2z*|4KGhZeYMknDdTiU&E zJdHqihGVcbNaai#_O-l_Y*tZ*42ctEyGr|pMdH=Fb%zr?1=&LX`xajJ(ahZ4(KTRi z4?*ed1G`;&?kXJs+_UqZoJ3Nd#YSe&P$RZAyU;gp=Txcom%E|3-*CCLkqvDt65^{e zXB|OHujeL*0>iA7H%?JEN|i6yb+cJ(R^u7ix+VVnbutnX zqFF7AAB`bMb|IlJxG47bOZ6E`xq3@mx(m5rG)=W;q+uZpoZ)pFhCpEM-uj|&&5-2L zEU~CN`9|?nu~EBs!_|Sb+Asp68)sh7=i|yw+=nQ$QpSlr+324tPz87LVV+oxv90dC zf?X1Zap=5km^oR1Qq^AK;=lVS|EOKjc>n#0u5vYnzlNNI3LUliu zhL*~lgnpJ-#+@7+HDw(XRae^1TJ%p6c6}_Lw4unZi@mg8)u~D}B2J(0>K6kRT7uHr zdKA{G@)-&L5x1LW6+-;_&Du{LHh37Oku$yg+?y(*Z%4x4X!6B2Gu0(()sm7i7kE&y*+2AGrTleyCzLQ z`2ofpBfA|=F>Ax3zaVLvQA-`^&q7G#=R&=u-(U9Gx>A?$XP8LG8B4t8da6LCGzSo`G8X)dd=vu4tKH zS8Yr|aGW-6{Q}N)uvf9qrjRpN=SI5Q=QS3Mpyw)h6ih%vCJJ^Sjc#9e6~1e69q4cv zgvp;bIevL%e}F3y^sd)UD1d}T{^Oqp@$&JX%++=zvf}^;GSeGj^t`>|I(U-UKoXYo zm1Ku_GPC>g#5!vzFW%gZY9f$*iWRC#1|=)Tf?nT$pI41ath3~_)~brlti6_9V47=W zH=Tx>x|0W@rkwHcj|E{L!TPJnyS{NC;YgfmtYDYGG!CsmxCPPd6H})9ydhxJo8=t7 zllar@AI%d4V(v9OxVC2RSvSPEAffW0y@rXru$p!m-QWp9yq{)b8C_ib6uenru;LmU zZjdSTjUQPsWUdOq?OdWO>Y; zJUn6U$>0W=ulTNJIBg$`+lXteo$0+5NXIYs!6+}gIPv@)r-5|zcKtOO`5*%iHXHji zl-->?zj*3}xC4dYnf(R^y=k7SU*uPsNn*cLhA>$}j7|kK|1OBTAMnBPiUX0>5Dld( znL{E>4i0$Q{gDcI4gIQu{*r>1$)fAX^s+lc9hu~M8-%u0OGeSr)b-lp>_z5}!EU-f zujr**uEktezwo=wJZZGPjd6CJwMv!P9y&Q`TKRe#1HMbHH+|<`6RuJ9$$3Ud+1Y_j zL4>tR#D?LMT(hIGdk5$jc=ZbG2rkFwqHH;EaB42pN_g-(^uae=K5eAxGUE&EeY@%C z(Q}?DjrR?c0Toqj)Hu`p4ap1^MN>`C>v#pfp+sMe{g=xQ*SNnz`zyTZ)q`;`Wxj70 ziITSe@QNF*WhwA{NyXu*)@%KM!L2oSA+>c|AvcQeG_zuq0#j_68|rT_Z;SV z=o{4v;-=pQ85{Vo&?T#8xGp=laU9}$w>z@K5={mheZ@Pw=0KhSLU<1>__8ecl zoK?or=Mx$GLTEZ^l@GaZ(bS6!Pww_>_G}H-uUYX5RgOdaF%^^I_d9+%) zpXGO}EMB)5X%+g1$rH{o5yel3S>eh9=J^Ou| zladS{huA)NM)yM^qcH`7II8-h4QoUC*@Y&a*EPTmpJ1}Q9=MJF>$;jAbIdPC8KIlzdZvPc`0h4|{ zQ*8BTiZ$_<=lA0hTL}7;za~GXrtEyO*V~rk*#Ej;L;bV7I@G<>s+ko(m`~YWWqxr=^1Bo>2KXV2Z?MIV@B8fr+6%K6nHrs}ui;!Jic^wNk z5D~^IZICXv6yYmoNTdSiQj(U*rMOj)=I#;i`$mCDtB*lTkBGR<6fqb{Q!k)Gl6a0m z&qz7ZZNehoTl(n5wmc#6LK1m(?2NP#A9pMk6T4z0yhFym3zS>LcAs-l!hnXm3c;Rz zReB~<;eg@uw1bu3olctA2?r!GS|o9oa2y-l@qADbs*b_1h#lF+e!WWkH@H!T|6U?A ziVGSw#7W&@{PtkgJSmMKic6t4P+^he78Q554 zhwuODEq$;d!qY-Fbfxo)vrU21)thv>5Vc9C;4oCnBN9unT}Oa3@2DVyN5|Z#v?;(o z-1DLd)5;Yu`~nWc^_G|wYUzY3I>w^brDaWkKT^#C(2gcXZw}edMa}DYep#VJ%`Ifu zjwUUuYZClHQI#4$a+nmI9iF=;T>gND=^xWZO_Fa8B;mm4ov6gou_lp5wr!t2fKN ztOPI`uu6=I7!sx#v36TO@QS_+QliSG2{PV*bRJ}GsP1N0=OmunlGx|06VGc|pAm>} zF_=j>YNH&8#Ir<>&)@x!hRAXqxNywKus+D)O?tDN9hd`F>Na`jHbVC?X^qzX5Z}eH zPaSyy8^1a_A!=MK1UOW-p`{2ksxURzPYJJ|vDtwx$W7*Sp3t~F4ZeSJkJq0$wQT=h zhTt`|B#EGy*$_;L#6COk1D|&xz8pc=BVfR?xFZ>Q!Dd-6VG{TMW##cs*w|4 zd)r2n@C?|?9@CXg=!Upjwdyriqz;PNs3KX&d6$s$8=+pL4<}oITSx21?G}G&lC-l7 zL^q76W0@VS@M3a`ga>^FsdYKq!=!R@gosGcd<=voV-uxwE+I-*iNq*JD>w%Gsi(x; zgA<%sQQ+F7qAush&PJ@FS|Mm0Ibc~vi>@kjfAgpSWu_qQDa3ACl zkQ2wL7*dvX)9|)_t1+UXVj#?|BwO`f9L?(y3AY%7K^?=30};$k2YMqcNlJ0+C$Kxf zZVlrR_w_BIMjc^@hUY4#0h`b_6!=aZ2_{~2G8^^I^N3q~%07+%L)2G?McsUFD}oXt zuyn{0OGzs!CC$<$4N^)sNT+nObayHxC?V~Vf}|3XONTVl@Ee}*dtL9JI~?XSdCtsz zpE+k~TNaywnt&%*hWkp$l6hP3#;GuGiQt2(L?PMXQy!#LSnu^K4ugO9V~S{bB54;u z`-mUuIE{7l&{<)|m^y)GrH?3Pb5SMn0MM*7Y6(cBH;47zbInrU+7HiX;=W}~!Onh} zbTPX8un4!%j_h-QMBzS0HqX^nfrx;KTkBeQ9xV)8dqi9^VbL&S4NHv905b-)yl@n( z;J(btpTR^`Z|ur{*M8q8-&On_PeR*bgGq@-=~p+a4r*0i1$NP+g;;(xJ#){)cWI9+ zDJT>>431}(@n6R}U4XcRk0wY=OBh(FRF~|dXS2@+rXLYAuVMv0fyI~}yXWA$IX~L+ z3=;S3qCW`6v=sJB7g7oL@`?5sz^9I&HNXy4wawuOeIS6|k}W_bsptB;m{7Hm=vBV( z+zBJUFtb58^YN0%(r>HL(7jLhrfmU1za2n!-`Nnmaeu>+c7D9~Hz@{o9N7b4PZaYW zgxrpnZmx*+_ySFZ{ZbV(CT<)Xnl)#<(YW z8i7(2UJ@tOl}2Oull&!DJjGAqq@HqMxPiqJ7XlN9`eytjfCM%Yp`#9DY5dTQU+rl9 z`wK@$sjpn8lvXNF2^ISWg3x1h_^Cm!0ETd{rjK`{+>{PK0n_oSI=kLIN=kbSfU^!n+gY8m7Mh zO3a`=J3UdIkD$||;Fe9yFv^(uR47qD$w~|Gu$h3;Xa4%+Wfmsx**rORNLNH-9_gj@eI{@} z82?0VC<{{^b+314b60i3&=sDRE!&gJL#YQu%042#1qxIMQr}24f*Q@2Zi4ntniAt>6B3#qR1y(5XLbb+&IkRrQ^mo~cTqlMRgABj;w7LAw7sQ>_8^MqMM# z5wl2xAWI#v4~32x*}B1@lG$PJ3%`qTM}dFIxhv4;dO~3v>ew?o>%k8WbR%>@YzI%} zd@Rx_75*FY!}`|SemPR65Rxw-I<9HxNWSz$L@rStTsPa4S*l)t3Fl>5;}sv0JL|kf z&GtZX3Z-rwWol-3R_i6oQURW3%wcN+zU?7i=zDc7fXm8ovu}K&o5AI8DVd4+`;vxA z_KJ;YwqWY`zoAl+Ed7y&+Hm}U5q!EN=19*(mbfOStNN(}^KvN7doH;L`@HKK3hExhedq$7G>5X2~m z^MDzIDmz$+zUGNVrEkcX*HL^kDWxQ^PTl>LMPv_bD=T&*;CAH0ZTME%nKwNc$DCN? zWC1r4lRIRLHYDu%xG-FyHl$&rh`vBjWmimX>p*d0SzR^G)Xc4GFn(81ZR|j?XjwfT zuwN93fvro-R+J?%p+Q~%hs5KKSi8V5bc3Nevtag(WAU^Syi|;}8i`E74UIH1ypvGlaFrOo`69NzoG!u_~NN6Z4hp2mU*M5_8(=;~#Ew zMnoH6KUdHBeX*1`wteu6uNXE=7Dq5@7-fiE2ut`uCq=!6e+Ey0vpfCOrAY+0{y)m* zY&VyqFS-*^0MkE-BoALom{L}Kc&j5^B874IDKO`m>4s{P_t?7aEd2~ zit&tn$p!Kvw+wB?^Xz`E1kKVJ0YhKz@u@uEQ$Zhn45bjA&fi~4UmW@pz~3z+YSY&@ zP{^9YBVUwqrmb~`8wK&ail2CIejL=DvUoY0PZ60ncazz$rdJDZz54+0wDam_6Z(>({zF1FN?x=lt-w?PYbm* z!l>UoXxLEGL5uG>a%4_d*J^7=ii7KVT)C$7Cm)O+TXu`RNV*j!ylo=6Dg{WrsG|#g z)?sc3rm6Q`K^k?5o(6UFVXg(X=H_<^_xEbHn$?C&lpPlDlQ2Xy@&>+OYO?T^Gz|SC zeaQ}I+t91YE3M7L9W|D?KH~{5SrsM3X(kb81;|=M*qmR(&VUU+Mg5`Te}Z?wvDx9x z#q#y2$RskT3IoTB0%yk2Q#ATf+f0c8v(~VcFwsqSqw0p83B#*X%u#G}y9x&Thid3w zi2yC+^R)CmC&xg@odvXD1C^zTDf&8aVn^Ir7aBF7LK?%AuGggl)xb?{`LnF8BBv2v z{`G1>2f!;^ou=ve3L4CQih`)g%v=CdbeI()p#1gy<;>-F+(m6`BCB+}LDWVnsJBsx z>%>=DOV@fZz4zhv7Q~1Oi_`bnzvr$3}Dh;Q@jTY$*+EYxu*+Qa#B;rrlVnDmIBr7 zuP3FltPl$k%M^byR_2iC9>HF%grz6&Sl=r|d)YP0{q%;-LE(ejdR*11+|>fm zMe#wW7I`7*411!qkHVEP@56-jq2JRUUbH~gnn}_=PKD1Od_QSxVke+DK9Wz{)-%5A zw!o{*OD*+5V%D_{DeS@5wwez5XkS69Ln4<}(+a1@TY&mp^P&k`ohA4o%?+BE-PU1n zHwST4=lFSP+sRzo6UGKy!1`7F~2b}H)eN|f-1Emfm(19 zzvEaHW3(eKVu(mw*>$vv_3)x1{lVPbnn z`S5GdBKAR_7~@%zbN4axldT|UVoJ}qBg>z5r8~9mpmj#*!>?#T%Q-;>pR}<_B8QHh zVB`bXpYWO>b8#yC%mZEwNyNE-B&y9U>pDiI)wI~pZ8|Go>E4k*;4x9YUkjmn(uq9t zwpQLJFdhmmW=Hw54eEqbk=`BB-tTLOjVqxOJ}(tJf3pTwzS_YNaig2Oa!mleLepQoSPgl}pkFQZ)gEK|8Q-(ou%>&Zy|v{(7_}p8F)(#`OiGs%`p5AEy-FWl zK2qdNs1(gdUb4LSe1g`b(9V|hwiWWDnV9Y4lqJsmflu)8Cd&`6V&=jrN(%jvf@l=> z_Z>eL4E<^%Cs$Uw*gKG0$xo1F%8Q}KjkQComOx|{O?)4Idg8qG~Zgh>jJn$x?B?u=q|J z!Uh}dH_Y*5SithD(kI9VJQHUK?h@2Vz6mV>`$cYLxYjdZksedJ*jNv=(6QN#u`;ss zw4i=dJ3muWQfEGj#1BxbHZ}sQq*wOdP=O!AfEz2Q`rKbXe(t&za@0&b_z~Ei-CK{i z!%@jHS+It+{#(P1vNK)v!73k^kGvSx+*s2EL#9 z+GHj8&f4v-LYE|D%f%&4b?=Uo^6mA_b!OydH0HH!EaE?rRjZHCJ=!GaR>*2(k;gKB zFY_cNe4eQxjd|6JVSsqbDF0Lj|14~o_O#H2OTNh{!g(%|xfGD~jaT2PDWJcSY`dM= zF1mxjY>(@7UR_d<2krja|nA?i>~z zeOn9v)8cXSLk>k3TrZ!@ve(eh=TB=zf;PpBx1bagtT6Ro>tdJVHD~4{i%jP_?+8`$ z7;b!{^{Gukioepn7rr|st`)$7jdF$$6*d@uR{Ha|M5-c1ASOr-G-kikew-9lLIfmY zoD=}V@E}!nZ6;=jc{fbu#EX8Mmd}uL_x$sXuLd?y(eoQP;O=)NIy@3;Yv{~$NK|U` zVVESdsxvWYK8X+L=(q%2Ldx-1&g1EOT}t0m?hKr}G|;X!0*ia0=NO+h3UfJ}Yoe4U zJKCAr-1t|Oz}2CApTM71(J55m*CdOB7t_2etA|Ey?Zy4lB0D+qaiLYS1?(QcMn4?> z>#I?vsbKJpSa1puBlbC7hb3%)&x-*-Bv}dT=Z%qNC=KxrWx|=7`Io1?R&n~xsFz}U z<4NQgb_AF8m&~UQ*;B%H3>2;lt0h^0C;Ix#M?6j+8`n?IM}trE?pAi=Jv(;7Pi{fL z6nZ=dd!vfvN-nLOV_eoUB~036;B&PJ;oRU>R1+)0$~+KB!fn+M)@Wb7`WHn#?AqP! z`*Kfu%1p1c{#JEA@6gpjk{WlX%(TGY| z4>A$Cz-1Hr&B$^JowJx2?7JwpFSMVOs8)W}%7(S~-4iA7$j2R9rI{E|DXv(}Xl*Qu zz^|hiTV;eEL3jH~cr)(}54H!&RQWhh+EpFgl4<*Jf90vJXXpK_40s7f3Y_+%kCe%n z3SLGpWKd@kRfaZoM*HWJtzRcKHfS1WnU3oZu^+iu6mG0#j|^45;_ohL&=byBcZjGW zhBP-3Z>-HNCl%m&{{E4P$^fTUfU1goeEGa4OM`&YVZi?GsPP+HgsmKba1Wy^|icylwbM< zV2O$KF-0&p8ChCO4W3HB*b9DlA>&o5E<&>znz?PajI#T$4Vx5WbBN5hb%Y8S1vpGU2bg_`R5wJee{eO=eN2=0+yB=Z_E0SrxDbgb0$n#Z@DL zGpOZ0?{fxb0+_(#(pDPg?h*w>zhh?ci1oyIIaP3oa^XL9u2Zvym}nqmYQxWd{A>%w zuWDgc4LwwT%z(BTW0-GYz2LvS@+jhYlDjE$Ad<*yjc$b9<5O3rGq@eks&*FwN~qVN?`Seiwr^Vw-qARM$@J_6hoK{3}#2*40`GSy4*kq^5Da z=~44^x%ni22;JR+y~KMcT|mhp%)6@e!5{1$=2>Z#wI?x6MJxQcH+NitBdJLGx0V;p z!i77_*;Bo(z_YQ(D6!o>UIcyhsS^>Ew|l1$7&!3y+F?Kduox9xtjAY>F$tfiVv=g; zfBh*Jy}WB`)NWM$B6eh%7P#!1Q$*Oz{?8%Urb_qdTfX^nc3)2`4JB~jZhSB;{vk(> zF@s>TNOsbUTZo(IG@y=!h~wwzd6=93*DXTiTE@7t*srEbyK z8oCGb@-034t^T&n8tL-VF-(1j9r7*nTo+KlQDsn&Xqg}D11R!6E_LSaK8x0U*3YmS zfM)J6i1M}0Icl7@uV;7!QHkgQ3nqFKr!-jzCDTd3YfJWsF*y_CGyIT)K?{BI^oHfz zOSJvC<&we(hyr)85e)~f*90kyhhRh||J3j5)R8pGmpD)MTB3{Slt9BLXV;f=)(${6 zqNqUfIU&jf>5bMzwA3@9Z!cxoPzN3#O`vsEVtlRgw$=~mw}>G%jd2~QBiB?%Z){24 zGHtmIlqg!%h{rm*cld*wgLh?Na`4Gh?#-9SH*1fG)ISiPV6)V$iaz}6laq6X&23CD zTng{RWE179?ipke;+WCEO9<%pMJLHEUEoAMRt;tX6?D+q^TkjXJc#-{`UrY<+L$oL7kF3W5zzOAC#a=VLjFO|FKWrtjJL8~Ci5b=; z>kGeifD!-W4qi1gbCYP!jd(#REPmasffC-v*_Ij*QDo%3y*|&tu~NyciN}B3(+r0$UXgEdnz_v8(R+zB1Ydd6eKb|1{9z$9`{#dutrV zV>9vtpBX(e-JaexyN~JUs~$nk;YeOOl*DN3Z5~EZsh4Yh0!^=PFja1;_qFAY zs-TGJRO|ZlIoS?M5>sI57?!Cs+q(m$?E20vy!{e>g+gTsY z;^}X+4spz``g_+Z2^aEAjOlY!+Ki(G&!-0KDNit1zFmk0#f&%_FK3CpP5%vg_J)iW z^lU5ml1{@c{C?b-e!pxqEi;sI{Ex(zi>Te(4p5;fnatt=fHabK3%*BQgrE!W((j)M z+fhV$7f<`Y=p%@DGd^JwOa;xX65o6ApM)S9-_z?&=t}s;y6Zr9hfG=Nc^4+1D4&YR zZ)p2ROxEV6_zoGB+qQ+~CwxEW!vm=eWneW<(9WK9tB>R2W=>#sL(utl>8HT#S`XU( zS;lIPmQ!OmC9nl!?3MU~~fKf{_CiY7)BZH@G?4 zB#F(4HJ?A?y(fQ;xhqMj4ow*8;VXzKJN4GK#=2j0?jCLud#3NSJ91Z3t$S!cgs(6AT6>x>3QaLup8eG@|JPR z*%m@~_V^3xV#<1ZxAVq>f?r&C*Z4ym&d^tQN`4s&(0?wK)gI|NUWjaN@7ww_S9_A%KKBz(b+;a8Nnoce1rMK`ewxxcA@SI{M%k9)-co*&Rs z{~<$xMKu2iwX3XD3KggoFzj8Bm-IuD+)ee|C+=_ZDb-ZNrLU&%&|~npSz1@edlt&Y%yTi}D#d92#VZM}TEY8m)>l zE3}hqw|FdvtaBn?>~A{FoDP(#hc0xR2-Cq(v9Bo2IDr1`7k%$a{sBzKv%HwcsJrQT z#}zG(m6?JLG!N3CtljuSNTO-_;gQO&^1k$Er>^`6}| zw9K0?7IAGpI~wGZqdB(Xc_5-cJs>3Y+CO}24RMaV1I67zsPJGJ79KmKuoKlbP%gQ0%Mx-Qqqw)aF%PJ7AJo#g~LDcNq zqG}0Pu6a3FM9dcZy5>CfM9@=KOJGWy-qmu8xN@E@=iVprBe+eh_hYt{0S>NI^J>+D z1)LIeLmb!vYPM2nx>9In-`%fBK{}rZhpq$(e9B)qqU2e8)zA|?cJyR-D=xdNW5dfE%OuIs=pFvSc zz6OxXDeQlM_~Lv{KKoYvi8GwaoK-*$sOGe~%x^>k;v5klY%w0)Vd7zI(XRPlYmDPQ zrkv4gHxez=B;ayx{jWhp)7Z?;wZ?IMd+v%1DH7}(rcB}ql>v0CR(2}3GM=ej7A!=O z29P^3zy~;pncDMS^cM!e=+=96-`tnG0{~0X-AAFNvm{NG^ts6;0qqn7jUF?GxQ(TF!cUA{>SN>o5&(!Z|^YGSuYd+RKM ztwuL$zs1>|)J-RyBgQ<;p2VUW;fMyW-seo2y?jMh#x>v6UgEflSd{;C+{=QHjt{0z zDbm=B>q^dpnqFf!s@twyKW%qOH%L|;afau;WqqXph>H(>i7r3$tHicy(;e#;KIE6gI(R2+y^n zF3J_G`cf!*7Q(0vF&K>Mh+7yT^J2^S*RlB6n`WGehZ&dw#FrMGHjy!3ExwbtT^_K| ztnxacfy+fmzbjtGjcbaGXrOJRSN5m%bjH34gcQ&rcCgUXzj$sq(#%hBzt$@^P zu6@zb$6me%5-iE7tQ#A&2Z)g2x9=w-53?0eLUDJ$e|>*D0|FY|B6NlejYUXttfu`M zzX~^)=gqDo8ixxPMZq07@r5x?lx2iAiQ#~nF(85m#OqF|;IzA%r1PcX&gJP5kUe=yqsp6fRFE6Bk5g$Tq^TMe5Rg5ci~5HdQK) z8bjn6-$f4%KmTUoF|!1gOsT<0A=tj*%cAR2%u z<_(Ou$|~DeX@Gnoauw~Q`+h5r;nHzZD1p=EOz$KWLrAU{kx#``nntYP@cGY&Z(pY( zE2uF(f_{b7Jw9FbO49G%HKw@VtsL3?Q>v!z#V7Q$`l#oh6ijuN+Y1QMR=k6QB$zN!l={!Z%!)x4rhEUG@9B8z zeMEo6wXV+mI4XXiT!AD!vU_pXzt2VJd|;ym7Fa8LzsFRvbL-Kgp;+`f4&yjz9Yy>uLMO{k?((ZV^TP7tIl9=e`-Cyq2czofa| z6nI$~sqcRVG+TCl)QDPW%_B`tqa;Bps_V%d-*)t*GiE4}0&l?BTkd2fk-KrBr6QQg$SX^l%! zam6YzZPxT*zw8M@fn`b;xO6ZwNpz@}89B3H2(hYsq&}QfRAO^-R=E2+n%}^FesHdbhRk zC#*shsRr@{#F{_=bJv+vi9Q&m_^h>^pqCUp!qVnFPYMaD-&cWGJF+|+Lt#2Q(_%gP zKJy~5UiSXjz_?z!jk8IEdc2mxY|^KDR$yyvjFEYoSjHe^Sx_Ga#w!AdhFy*Noimqj zQ?um6e?-Q}1!RURM-6|l^cdkC{VaP|wB`FNyg3HhOD+9spi+$R|M}~xK z+Xq?h?<{I|4r~&ItXV_ef>&|hoSf+SW`Zny%%CE{KcygS-b6J!)-`O#%vqE}JK<>e zjI%{MKX*v?S_O4}4rrC2V^e2{T-vG+zKt^ZS4bcu@@L@tRRoaRpgNT z2fzaRzg_Nr1(34cO)F+K14+4L=9Cwl1W|+oO-+v&OecxtCweWtvwtff?GNUuMAEz1 zwO*Eu&lb{{0wXNG_|hdi2U5HEMctc3d4<8Wc9qxdbE7()mVyr+OIA2RZ6o(+S3lhX zN50ffM)(x?uWsNtlB&$OCsLIZ{tIM|3JM30R=(%Q?dAGZ$wy4_64c6yBS9C2j8M8P z)E~iNZJGP-`3uPbxfgSdy0F$AW2*Kzt~H*X&Gv9iL7o*?@;@e+Gqe|ln3j#%ux7ju zwi&YOArduX&`9~SVYN2goSNak!h!LNo>wGi)cyMLXtg$Irg3yMcdvis$PU%Su#sq< zQPiLAfhL~(Yz!M>S|bWKB*c$;TI@7~K{;-dFMDXkfMGg`j-rUjWfY~)#Dx?`6Vvu|1!OBV96ruud zT^aQ5%{2ZWp4Sisbzi+>2lVXx;sBOsn~eUjLLM5D7s~A#3}~0~m^;e&I(3`$&)Mqj zWx|D_a8LkK$Y+|p${xXc@6Uf@E^}9eKcy{c>{Kgg|H=Mc;~+Cu;2aj(r8VZxImWc> zZK*|ol<^y^z!QkzB*iD%8YX$`t;w~;93;7AwwrA0BbUr>9 zZ7;qjjffQNuF!^d;v{b)O~`)-A+KFex@oakYmfCLT; z1XFm~^{|sj=UI~$qW^^4d-NsvuURzYC5)Z)#CsGpM16ghTy=9C%PV#Twjz2zb-*Ix z7(bkiV2~d`5$W^^RUz?J|7^CuG8r_!_=;ZA3Y*i@7iDdf*wCs=KcH1nC0vNCZZ^|) zTh+i67F4$gm-I`9E3$HkL7=Hz5GnI(Dn#6yiaZH+!6#N-AUDi*!<_E~nJMCpDWq2q zv-e`F`wz5{i)^ht7VbBzL}f!uwf)iQ6Pbf-OF;Q`Km9Lct?3tdjxHhG+w>cG8rNTy zk`QDqNmp%9O6Bll>@5CXB*M^_;r$o<_aN8(GMebUSB+v%69)+*4B3MXyQNQd9mMY^ z4Cfjd%Ec4sPK`G*G10WfUlQ)2SWYHW(RFR2eyE_E^Jf0e)t`Dbi)1>IL(|QV<&Et( z`gMK&y1w~9q3h$9?rtd}&7qQRP5Z-Ubgeg7I_&5=yqUX_AJ@>FRlQfy%Sq76XR0&f zmKh((E1o2C{gU8%4Wja+oUhl;e^4cGy}k{o{^g>r?CbaR^B`Yaa^F)q2@M=^jlYv3 zjO;cS2mx!m1G8wK z`WMFrbY<1Sc_cx38A_*1eDBYna@J~;86kb-Yc#-@;|ErSB&;jiAl7=}C3neXK9aQi zz+39SHXg|As{;X=?U(%XD>Jl9#UYEu)ke$L7*1)Keu+&q2gSx%J?`Sw2T!0&UyFZ= zAUJ&)+UoIZL4SM&{;E_xg}l+jd=uI0dX5to_*^t=G2&DjG~V1mC`~D9cyDIRM-OJK zr{5CiRDBo7tL>=byk4%X{;L2K{n_1+k*4aytV1Oru#{awyrmro#^M`1ZQ#og$3?VFOVIxC=+Qk2ft(>GZL| z>X!MM6D!tF27;^*{H%B5y_E)$?2wsH>^ExhEb~7aINvl*@zxC)!s>PPTg0Bvd7uAV z#Zj^RnVWS{p5#qCvNo1C#B^oSBvfng=1#`P2ZqaINq956GEgYtoWZO{rTw)C@oli5=n|#}1Mrz8fGcSt&1MFE-QRLqc=79 zVK5t#2%+C34H%&dnp3J*StB_N&a&!l_bR)WOC)nWFy+xXP)$pTB`+9MJH90cbSaY2x_l zX^4u(msVKL%o2Q`HR_CbED5TtSbid9mnD(?E-P0;y~zb`PJb*L-mVfk5>nw<@NvwR zjuKCTZ>G9Bq!zuI6#n8j34hC7AhWsNEon2iXQ|lP3jaxDC@s{ZpM0kDkJQwIOncye z9<^;2JAME2yMBc;N5s3}8$xoN$>(SYJdH>C>d7u}o@H@MnYt#^vGUhr(eW`+8Yv^u z@5X(lYB5CoR}plh(U0=UYqd6SsFz+QQIjIx89;_S@O72ztPVtu-$qD7qQ7(xvm@wV zc7{ua2|=IB!mJ4jelAaKPZVsL{IuhRbvDAzmHZ(-PcdDCMxXEV4FiP6@xmO83qx~{xQ8QZ3_VD}48&8=0R}$YbQL?u+ zQE{^LGN{E0^fQ?qCJH$|vVJGX8qv#uoy7i~~LWa6E&WYRvOz-TWb8@_yozo5G3YhKOtdc3#0sE+2Zalga zut_*-OFD^HCS>P_1aC7La&(logK*T z`T+~%>-p_s4dRA7@$M2rJ@G}y{Cv+dn?E+nhXA#{OkZADhj{4SpN)E^+dqTy!PgqI z^-_E?F|cg(8DV3}fY&8|cPPNj>kMmlX<{@wq-iOdHgHnRSNmwrWD~X5;4}%ko7?74 zFYodBs|OVJ#%Hmg*o&U954Wwe{~-H4h19{A-<)Zesl(4)J(*8fIl`F2AZj60erte= zHV`iNw7W%lpgU9P=%6uO5|M^1*Ec!~CfqEV0k0!iEC4T8X zr#UME3TRwG*k@05nSCkoQ76;i$+<_O$e+;;5h_*i*~2@Dmg`m;+UIT!PsWvdQhyUk z&5rq94__p1M+K`>qZcC?u75yBawD=YpQ#OiPhjf4aZQ4--OheBOV)V{2Cna-z$|&6 z32%ayloP5ePa0fQ|E589E#myD0s&)q!e!b_6PW_$=#`+&7B?K>?Avf=Prq4^nDlAWK{_?y~jrxma{fhP}0O;wC_h**4>ylG}SIg9RlgZyXJaWi{OBPF-Q1 zM5<8-7xHA1gshNi!IgiLEU1`cjrRAGro<->8*$J=q&MSUT=aL$unbI2hN6~Vu*hL+ zS49*EV@d-v{fHa3cGZ6sA3pE_Ke;jN&-ML32?``|&8mnpVJf8Si3!uQH*W&AON^or zRR)BH5ii}B1@>GSuB^_RUqh0=bjL_aXoA?2%Bl*PQE(1+h@mHbv-4lq)oq+ePK{*= zM2Za^J06{?6`zRcX$|a>yTz*b*B8sqzzA zBw{js&IN>N@efDb_O#)~ze)B!u+hE@JV!=U2b0sZK(Q*K zSs2spuI+7%KXEad3gpn!iI5T-E>!o+l|KR0{XIq3$froJ0D4KirjfAUIG&>$Q~xrL;dEPzRnZT zl|V_lXDSk!RoP|1ahZk*uxDzt^gBkhJMuZQnYVbFtvOxAT5!$ZDZ{hESZZMQ7xuN% z2Kd#X&Pr0N@bJ3?T`6W`xq~Q1NelqQrRk8RRP$5xz(2u+ErN9 z$gpCkXrEyE+(c+I%({tj;t*B_&QWQMdtsH3Z=cxh6(Kugwu1}jZaoxVyrfxbfAE^5 zGIer**o8O+4>QgT-c8$@4_r*kASIJ;myk5>b8*wN@5%5;s=P@b;BVZNI&W6FVrn>6SUYG(2%g zQ^x8Q#)`G#;}s>c-oGwypojDZGaL9Y;Zu# z4~ywC_$s9_io)WCt4%WEspCTauG&?;HqH3bJtRiQW5q`Tz1mF94Ca|cx5_~u0~wm` zFLum6j*nl*#WyIR|(5hfI zije0gz@{dOKPgBTm z%3nn|3FuBa=&0bhH9Q;wF}l^q9Y5rv<7ZGtSw(Ek(-UWTzl3-t_{#Obg`}N3EKO-! zB?jSuSpUTS6Jtqms3c@%E4-Bd2czfD8I+;Vm=!eSord8?0Zt}Nz$WUH>m7ET6?MJ9 zDI*4}O_V$LuI^w-vj@_d=g`195d~DyC1v7=>9qEz8JGEV4T@jO9B9Jc2iGa1xy)35 z6q}{YrJAuG{>-5EBQabLoQC;ztK1X0EbI=h1-r69cEZ2Tq@j9&6^{tpJRv?{G(;L5 zkE9SCYbi+f1hFuNkZDc45!^Iy8OZ$XJbTqJW(x?PoZHi}Pj2*2SE^Md$R2zptn`n? zlk5^M9L=Ax4!RQd8A>h$QSglj*8U;(a-$rnle@(roBr`f8$7b^>sgo-r2BOPmAhgI z-?9!)pKJ;QBVXX}B+0@O4MUDxBwPefnl&zFp^uHiA8+M4w;?^S5bKB)dO*Gn>IYQq7! zEBfvZjY>HY1-3Er-y;r%u~x0x?Qe2Se9Ia{5r;??x5zkHf{dqqWAe^kmt`x@gm?Tw z@$zE{&zWi)pW*(X>`a)bO%x?(@EH%~Q3KlSsDdp^cEq#XS{$r>po2q5Fs5M#pmjv% zsbk?PQrzbZ7KvA2MsMUutgcE=W>!LVNH}`e=O;p7Q9L&;lDwDGYMga)C^3~TfBTqQ z9)Fj&)(3$Su@_0wn75#5lIR(vyDHS;b_k40_M7turMv9JV3v=&N zMKkfqY7~i#XDg@L2>Y*RVp!PLe7vymrSo{0M;$zWXa?0BpO^P;yxH-e^fMrmpT{IF z4sLAgdSM)zkMb9XQEc?EvS}VtwdeYrs&73H*%R^_$t7i^MYeUE@G0;yJQbVZkovD@ zvNE6L=*5@tf>L((dU6Np%5~1+u7V9RAzcfb2_%*2&2R}Ib=DVJLQwEK*Xx`aOYPo- zRd_sd6jQCS!^=K2Zx%+Yr|%;NbK;ShkiagW^^%j9a8(H2fMcrFm1`LLhptvo(;@Js z1G}bjgYiLbSUjfJ8j|W`1^NZj*FkG96Yc7mFI;AF6D?3J`=$NJ6+knY+EOfnhKKiS;VaE0xY&!nu_?Qk2F2B zuq#&!x=_?+Vb>H2Gl*|hE>x>M?RaPW?5+HBw$1mzz1N?C0$lRh1a~#D< z7;$AnqG)(a#9NfQ%D!~F(+a|@xSsKy5NM7I8MB;36iSPIB!KFs@sJVUxO(O*9hQFS z20K`GS;c9WaDORNia~dR{c{;+1T40v07ZqXcW+n4|1E-Ti$qsbD2=UFz#1QHkJj|kab2K;* zv2ORFG-*sfYrYf9{b+`_Zdxg4EK-w+K!(Dv*?$g3fR%-!R5^Twkb9uKbRVi&@?HZX zFh}PY$=U#R^rEXQ@wa|)=D>0Gt)MO_oDNqYq&?FDHZFs%ycAdz^Dt}oO`|QZdprY> zKr7vs9g_joaH1eDmEeo6Q5`H-3H74^<4^e=j#DJC1ML&ILvRo*6lTqZWjX>OqYCO+ zS@r}1pv5eDO-I*1a$D9uu=S_?C-!;XGTN&4WN6l@!dy|jyT?am5Rw#Sk!NV@d7LAEKZ|aJMWqyG8zbDD`#J!Hm2W0N>+!Fyb)TbdFl3dnEtsp{{hR4Z(JTw1hBDJuaTt1&|^SheDo%Q zfwd?_@df*7AWdXRgUYueEt{xJr(ivh`DS?i!Mcv~0NmCsj-m)`^Moq#iw-7qkxGV& z=3dC|zBoj7@~Q8uSv&cs*pGv$Lao?Q_PNIn%m222+m%J}yIh3nqsHFI)1$xs@`m4E z)iq%ljw<&?YK(@#+*}FN6P*$){Ju%4+eAU_VTP_tYG;^=71X2<_*~)s#vzRyNSosK zjb*(?;qjNRjcJ&nfL3|*EKM;6qrV8vK9VJss~p_vm*hYBhiy91x^t)@hw3B#!lIjK@B6uL=;&jja1gkGKnZ_*+nu^GDSidj11m0 z&-=XZQ$76$?|aVYbI$qUe82Z~-S>6h_qEJtj(zJRu|c~kDbc-)#RrA9YCk;Yiic?n zZN=F4Fw8%gJdbTb?i@N)ZOf9sk^Azh$ysl!ZvtI6ndw`^dEt-Ibr#Hd;b3XT?UY1S zu@?t$0xqC@7NJLw*l9AnNKJj0SW_S9aiqet+JwmPI9{uSPf&*v zYYik7nU68CTSLk@6D!=|%?ifd2l13| z#z&3QH}6k#T9qc#DB-cDV9WU8T|)b@j)kG=G|J;fL(y{BIE`YHmo!q$47ui^z@0~k z&yOqKm5{+S8+81V(7#1a0x9fh-xq3IX98ER)t(Tz;1SzK~-X7ZIg-;-}vF9aPt7e$XeRANI;jO5%s3vyPtqE1fi7$+I) zL&M5J81&nzuqN(SVaLOgE(&KDJs%w?S>Yx+{)H~vMjTH_E}$Ptep8o9>o%&?iTYH9BhF%rg3L#yuI~6nIW- z)4t4p@7ho)pMW@$pJhqUTzugj?iZ3J!fko-{+4%Dn+C*edG=?@UUMQHmJPJlSJ@Kd zqB8z?a0))mBFV`?Vgy^rEcY9L!6#4IujG2rTM3ca(CZaeIWc$QN$M(CyWnpXdaAX8 ze>)HsC*O*qZzLw?kickv)bEg$Y&WFh5c0to9)ownZ;ylL$ z+RY6jUO?_Aj3wveojixLukIi&C>~P09&WPRKUJF==X4>m-fgnFY=`*Eg9_I#osF;C zrFN+$OL`JgMwf72h7!QId_wqCUtyq1{K;v-vIxkF9&jpV8FVh&5g6HGDD-h=m<%oK zYjKEmhc)E>i;c4fR0L0WXsM}`=?OB>$sJmP0fhRWArfr9@>eRrh z&VyRCHEdjw~>cu{x-d!cB71Y6dJ)ui?(X2L2msPpP^QRmn~si0 zw(EpD1GZP{+@gnQJHcOE&mz0bSI$Sd8dHxqL%YpW zvj`}y;PDF#f|K2L_;BL+_`TQfKB?9h>~PmoqbdtUw)rcZ*G4t`k;Cf-c8|4EoS7n+ zvA=pA4}K41el}t3aT4+q5mpm#09~diC5BjiU)z%_sRPvL#OG1zqm`bPake*Q3Ds zu*k=2f3noZG*LUm$!@!Coh9HYMW&zsuy-%FvNbT9T!SNF1LD3t-7E4# zgpR$6Dv?m$nllCkOh+<@V@oqeuujoT3tS-L#|Ryo#qzJ16=r)9mEnoj4WKSW!OhaH zNoom_{a_+og{-05SvA^XH@eeoi(LsgolaQ<<%%1OE}Xuhl%JuJ;L{weo+r~z?L-*|U(J1!nz({e_ z^4e6e@WPdK_TuVF<$C1$N8dU&8(qgf*RQ!YROvgiQpaZXqNCV#zESL@p=RrKQ2%+vyTqFP8H_vNC)i7(v~-3dyhnT zbylN0t37DCeQ8UAZv~Y1O7bbp8SQC|qhsA29<1`sCEg+T9!9owiHn?O4A`sU1ni`< zA9)%%a5V)&Jp^!j9#vK-NXb-Oxq0)MPQC={4$gDfcE-A7DLt~AvS<P`ASiHMI2k>4CPbHeVmqyqcaS?r;03d75=@^oqZ@8nQ(S9Tu^7DG60X-vcO7~jpMAqt`cZdQGn zh`Ms3dt(HvN>62j)_0XV{dy=iDsaXzNeTy9>R&bzmziC7pZnTVz4ui$-%{4W?ML!n z>%Vqzb2vFKL9I~3pD5vrk?^xJN)#*dzfqVny5^OYNIbv^HN%Q<=~K!$bl9r zCUGb>wY?-Gr<6;+FM-d_U*z-K(65G>4A}ekXAX#D7*+WvRn7NtuRYM#>NO;!2acwk z8@=V{Q?3O1-w#;Rm#&VT@6n@ob6sS$+fBYvmPw)?Ff)t@X}I!;Sb6<@VDxjTUtP2vRriN6Q%uO|mnU!NeXPZ0W8s2?`akz?XEsGkWQAJ^?vyOt2${PW|#-Btu3`)ciAt=-f z``flQHAf{K8*-wN>a-uffWWE>ChkDd0{F8p~- g{1F~N_yPXc3TcDl1IGyfguwF>IBF(D&`N-R0Wi5YDF6Tf literal 0 HcmV?d00001 -- 2.34.1