"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "notebooks/diagnostics.ipynb" between
prophet-0.7.tar.gz and prophet-1.0.tar.gz

About: Prophet is a tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

diagnostics.ipynb  (prophet-0.7):diagnostics.ipynb  (prophet-1.0)
{ {
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": 1,
"metadata": { "metadata": {
"block_hidden": true "block_hidden": true
}, },
"outputs": [],
"source": [
"%load_ext rpy2.ipython\n",
"%matplotlib inline\n",
"from prophet import Prophet\n",
"import pandas as pd\n",
"from matplotlib import pyplot as plt\n",
"import logging\n",
"logging.getLogger('prophet').setLevel(logging.ERROR)\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"block_hidden": true
},
"outputs": [ "outputs": [
{ {
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:numexpr.utils:NumExpr defaulting to 8 threads.\n"
]
},
{
"data": { "data": {
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "0700e1522a544128889a6f25fa181c2b", "model_id": "8395cd1a302349a6b766e256fff7aa02",
"version_major": 2, "version_major": 2,
"version_minor": 0 "version_minor": 0
}, },
"text/plain": [ "text/plain": [
"HBox(children=(FloatProgress(value=0.0, max=3.0), HTML(value='')))" "HBox(children=(FloatProgress(value=0.0, max=3.0), HTML(value='')))"
] ]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
}, },
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"\n" "\n"
] ]
} }
], ],
"source": [ "source": [
"%load_ext rpy2.ipython\n",
"%matplotlib inline\n",
"from fbprophet import Prophet\n",
"import pandas as pd\n",
"from matplotlib import pyplot as plt\n",
"import logging\n",
"logging.getLogger('fbprophet').setLevel(logging.ERROR)\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"df = pd.read_csv('../examples/example_wp_log_peyton_manning.csv')\n", "df = pd.read_csv('../examples/example_wp_log_peyton_manning.csv')\n",
"m = Prophet()\n", "m = Prophet()\n",
"m.fit(df)\n", "m.fit(df)\n",
"future = m.make_future_dataframe(periods=366)\n", "future = m.make_future_dataframe(periods=366)\n",
"\n", "\n",
"from fbprophet.diagnostics import cross_validation\n", "from prophet.diagnostics import cross_validation\n",
"df_cv = cross_validation(\n", "df_cv = cross_validation(\n",
" m, '365 days', initial='1825 days', period='365 days')\n", " m, '365 days', initial='1825 days', period='365 days')\n",
"cutoff = df_cv['cutoff'].unique()[0]\n", "cutoff = df_cv['cutoff'].unique()[0]\n",
"df_cv = df_cv[df_cv['cutoff'].values == cutoff]" "df_cv = df_cv[df_cv['cutoff'].values == cutoff]"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 3,
"metadata": { "metadata": {
"block_hidden": true "block_hidden": true
}, },
"outputs": [ "outputs": [
{ {
"name": "stderr", "name": "stderr",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Loading requir ed package: Rcpp\n", "R[write to console]: Loading required package: Rcpp\n",
"\n", "\n",
"WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Loading requir ed package: rlang\n", "R[write to console]: Loading required package: rlang\n",
"\n", "\n",
"WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Disabling dail y seasonality. Run prophet with daily.seasonality=TRUE to override this.\n", "R[write to console]: Disabling daily seasonality. Run prophet with daily. seasonality=TRUE to override this.\n",
"\n" "\n"
] ]
} }
], ],
"source": [ "source": [
"%%R\n", "%%R\n",
"library(prophet)\n", "library(prophet)\n",
"df <- read.csv('../examples/example_wp_log_peyton_manning.csv')\n", "df <- read.csv('../examples/example_wp_log_peyton_manning.csv')\n",
"m <- prophet(df)\n", "m <- prophet(df)\n",
"future <- make_future_dataframe(m, periods=366)" "future <- make_future_dataframe(m, periods=366)"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"### Cross validation\n",
"\n",
"Prophet includes functionality for time series cross validation to measure forecast error using historical data. This is done by selecting cutoff points in the history, and for each of them fitting the model using data only up to that cutoff point. We can then compare the forecasted values to the actual values. Th is figure illustrates a simulated historical forecast on the Peyton Manning data set, where the model was fit to a initial history of 5 years, and a forecast was made on a one year horizon." "Prophet includes functionality for time series cross validation to measure forecast error using historical data. This is done by selecting cutoff points in the history, and for each of them fitting the model using data only up to that cutoff point. We can then compare the forecasted values to the actual values. Th is figure illustrates a simulated historical forecast on the Peyton Manning data set, where the model was fit to a initial history of 5 years, and a forecast was made on a one year horizon."
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 3,
"metadata": { "metadata": {
"input_hidden": true "input_hidden": true
}, },
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAmEAAAF3CAYAAADtkpxQAAAABHNCSVQICAgI fAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9u IDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzsnXl8VNXZx3937kzCJiCR yBagVAWUSAIBHBccRUFRLDatS/s2KmjcUNG2VOrr21At8cVXpUWqJAJltG41KIsiyjKIZjSGRcC92hgU whJEQMgs9573j8m5uffOnS2Z5c7M8+2HmlnvuXPPPed3nuc5zyMwxhgIgiAIgiCIpGJJdQMIgiAIgiCy ERJhBEEQBEEQKYBEGEEQBEEQRAogEUYQBEEQBJECSIQRBEEQBEGkABJhBEEQBEEQKYBEGEEQBEEQRAog EUYQBEEQBJECSIQRBEEQBEGkABJhBEEQBEEQKcCa6gZEwymnnILBgwenuhkEQRAZxdGjRzWPTzrppBS1 JPlk87kTiaehoQEHDx6M+L60EGGDBw9GfX19qptBEASRUbhcLs1jh8ORknakgmw+dyLxlJSURPU+ckcS BEEQBEGkABJhBEEQBEEQKYBEGEEQBEEQRApImAibNm0a8vPzMWLECOW5Bx98EGeffTaKioowceJE7Nmz J1GHJwiCIAiCMDUJE2E33ngj3nzzTc1zv//977Fjxw5s374dV155Jf785z8n6vAEQRAEQRCmJmEibPz4 8ejVq5fmue7duyt///jjjxAEIVGHJwiCIAiCMDVJT1HxwAMPwOl0okePHti4cWPI91VVVaGqqgoAcODA gWQ1jyAIgsgCKCUFYQaSHpj/l7/8Bbt378avf/1rPPnkkyHfV15ejvr6etTX16N3795JbCFBEARBEETi SdnuyF//+teoqalJ1eEJgiAIgiBSSlJF2Jdffqn8vWLFCgwbNiyZhycIgiAIgjANCYsJu/766+FyuXDw 4EEMGDAAc+bMwRtvvIHPP/8cFosFgwYNwtNPP52owxMEQRBEVLjdbrhcLjgcDtjt9lQ3h8giEibCXnjh haDnpk+fnqjDEQRBEETMuN1uTJgwAV6vFzk5OVi/fj0JMSJpUMZ8giAIIuv4/PPP8fnnn2PDhg0YNGgQ JEmC1+sNKuxNEImERBhBEASRdezduxd79+7FwIEDMWDAAIiiiJycHEpdQSSVpOcJIwiCIAizUFBQgLKy Mlx88cUUE0YkHRJhBEEQRFZTUFCA3/zmN6luBpGFkDuSIAiCIAgiBZAIIwiCUOF2u1FZWQm3253qphAE keGQO5IgCKIVSldAEEQyIUsYQRBEKy6XC16vl9IVEASRFEiEEQRBtOJwOJCTk0PpCgiCSArkjiQIgmjF brdj/fr1VMKGIIikQCKMIAhChd1uJ/FFEERSIHckQRAEQRBECiARRhAEQRAEkQJIhBEEQRAEQaQAEmEE QRAEQRApgALzCYIgiKxj9OjRqW4CQZAIIwiCILKPk046KdVNIAhyRxIEQRAEQaQCEmEEQRAEQRApgEQY QRAEQRBECiARRhAEQRAEkQIoMJ8gCILIOvbs2aN53K9fvxS1hMhmSIQRhI6qqipUVVUBAMrLy1FeXh7T 5/fs2YOrrroKAHDllVeioqICAPDFF1/A5XIBABwOB8444wzN56ZMmYK9e/eib9++WLVqVcztrqiowOrV qwEAK1eupEklA2hsbMSLL76Iuro67Nu3D4IgoHfv3iguLsbPfvYzFBYWxvR9e/bsUfpIPFI0PP/883jl lVfQ1NQEr9eLbt26KX083Gtm4IsvvtA8pvuFSAUkwggiSXz++eeKuOvbt2+QCCMINStXrsQjjzwCr9er ef6bb77BN998g++//x6PPfZYTN+5d+9ezQKjI32wtrYWjz/+eMyvEQTRBokwgogz/fr1Q319fcyfa4/1 i8hMPvzwQzz88MOQZRmCIGDatGkoLS3FySefjL1792L9+vVobGxMaRs/++wz5e+KigpcccUVEAQh4msE QbRBIowgokDt6luyZAn+9a9/4d1334UgCCgpKcEf/vAH5OXlATB2R5aXl2Pr1q3K982ZMwdz5swBAPzp T3/ClClTDN2RX3zxBaqrq/Hll1/i0KFD8Hg86NGjB0aOHImbbroJZ555ZjJ/BiJJPPnkk5BlGQBw3XXX 4fbbb1deGzhwIG666SZIkgQAKCkpAQCMGjVKsXIZPa/uw0DA7X706FEAgX46ZcoUAMA777yDF198EZ9+ +ilOnDiBvLw8jBs3DjfffLPisuN9lVNRUYGKigqMGjUKe/fuDfmaun0EQZAII4iYueeee5TJCwA2bNiA Y8eO4e9//3vcj9XQ0ICNGzdqnjt06BA2btwIt9uNZ599Fj/5yU/iflwidRw6dAgff/yx8vg3v/mN4ftE UYz7sZcuXYqFCxdqntu3bx9WrlwJl8uFZ555BkOGDIn7cQkiHrjdbrhcLjgcDtjt9lQ3JypIhBFEjPTr 1w/z5s2DJEm4+eabcejQIdTV1eHgwYM45ZRTDD9TVVWFVatWBVm/IjFs2DA8+eSTOP3009G9e3f4fD6s WbMGlZWVaGlpwfLly/Hb3/42rudHpBa1Falr167Iz8+Py/dWVFRgypQpuPXWWwEEx4Q1Nzfj6aefBhAo 6fPYY49h6NChcDqdWLx4MY4cOYLHHnsMCxcuxKpVqzQbWBYtWqQJ9A/3GkEkArfbjQkTJsDr9SInJwfr 169PCyFGecJiwO12o7KyEm63O9VNIVLIbbfdhv79+2PgwIEoKipSnldPnvEiLy8PdXV1uO222+BwODB+ /HhUVlYqr3/zzTdxPyaRnXz88ceKi/OKK67AqFGj0LVrV9x6663o2bMnAKC+vj5oowBBmAGXywWv1wtJ kuD1ek21EzccZAmLknRV2UT8GTRokPJ3586dlb8TMTndf//9YUV/S0tL3I9JpJa+ffsqf//44484cOAA evfuHdN3cDEVC8eOHVP+7tOnj/K3xWJBfn4+Dh8+DEmS8MMPP8TcHoJINA6HAzk5Ococ7XA4Ut2kqEiY JWzatGnIz8/HiBEjlOd+//vfY9iwYTj77LNx9dVX4/Dhw4k6fNxJV5VNxB+rtW3tEsuOr1h3hx05ckQR YL169cLLL7+Muro6vPjiizF9D5Fe9OrVC2eddZby+NlnnzV8HxdaNpsNgHYR8N133xl+JlwfPOmkk5S/ m5qalL9lWcb+/fsBBOLQevToEekUCCLp2O12rF+/Hg899FBaGUkSJsJuvPFGvPnmm5rnLr30UuzatQs7 duzAGWecoXGrmB2uskVRTCuVTZgH9eT11VdfRbRWWK1WZdK0Wq3o1q0bDh8+jKeeeiqh7SRSz5133gmL JTA8v/jii6iqqsKBAwfg9/vR2NiIJUuW4OGHHwbQZjn797//jb1798Lv94fsI+o++J///Ac+n095fNZZ ZynB/m+88Qa2b9+OH3/8EdXV1cqCecyYMcjJyYn/CRNEHLDb7Zg9e3baCDAgge7I8ePHo6GhQfPcxIkT lb/POeccvPLKK4k6fNzhKjvddl4Q5mHo0KGw2Wzw+Xx47rnn8NxzzwEInd2+S5cuGDNmDOrq6rB//35M njwZQCBFAZHZjB07Fn/84x/xyCOPwO/3awLdORdeeCEA4LLLLkNVVRVaWlowdepUjXjXU1BQgJ49e+Lw 4cN4++23sXz5cgDAfffdh6FDh+K2227DwoULceTIEdx8882az3bv3h333XdfAs42dezevRsNDQ0YPHhw qptCZCkpC8xfsmQJLr/88lQdvl2ko8omzEN+fj7mzJmDIUOGRG1NePjhhzFx4kR0794d3bp1w+TJk9PK gky0n6lTp+LFF1/EL3/5SwwcOBC5ubno3LkzBg0ahJ/97Ge48cYbAQS8Dr/61a/Qu3dv2Gw2FBcXY8mS JYbfmZOTg8rKSgwfPhydOnUKev2mm27C448/jjFjxqBbt24QRRH5+fm46qqr8Nxzz2VUeordu3fD6XRi 48aNcDqdtOGKSAkCY4wl6ssbGhpw5ZVXYteuXZrn//KXv6C+vh7Lly8PuWJTr/wOHDhAu8AIgiDijD62 NZvCLB566CFs3LgRjDEIgoBLL70Us2fPTnWziAyhpKQkqsopSbeE/eMf/8Dq1avxz3/+M2yQaHl5Oerr 61FfX087cQiCIIi4MnjwYIiiCEEQIIpiVglQwjwkNUXFm2++iXnz5mHTpk3o0qVLMg9NEARBEAoTJkxA fn4+6uvrUVJSQmEmREpImAi7/vrr4XK5cPDgQQwYMABz5sxBZWUlPB4PLr30UgCB4HyeoZkgCIIgkkW/ fv3Qr18/TJo0KdVNIbKYhImwF154Iei56dOnJ+pwBEEQBEEQaQWVLSIIgiAIgkgBJMIIgiAIgiBSAIkw giAIIqtxu92orKykXGFE0qEC3gRBEETWcfToUQBAfX09rr32Whw6dAg5OTlpVXeQSH/IEkYQBEFkHVu2 bMGWLVvw7rvvYsSIEZAkCV6vNyiBLUEkEhJhBEEQRNbCk7aKooicnBxK2kokFXJHEgRBRIHb7YbL5YLD 4SB3VQZRUFCAsrIyXHzxxXRtiaRDIowgCCICbrcbEyZMgNfrpbihDKSgoAC/+c1vUt0MIgshdyRBEEQE XC4XvF5vSuOGaAcfQWQeZAkjCIJAeHejw+FATk6OYglLdtwQWeIIIjMhEUYQRNYTSeTY7XasX78+ZTFh RpY4EmEEkf6QCCMIIuuJRuTY7faUCZ9UW+IIIh1Ix80zJMIIgsh6zC5yEmWJ2717NxoaGjB48GAUFBTE 5TvThWw+90wkXV32JMIIwoB0XFER7SfV7sZoiLclzu12w+l0QpIkiKKIsrKyuH232cnmc89U0tVlTyKM IHSk64qK6BipdDemApfLBUmSwBiDJEloaGhIdZOSRjafe6Zidmt2KChFBUHoMEM6gmiglAVER3A4HBBF EYIgQBRFDB48ONVNShrZfO6ZCrdmP/TQQ2m1cCZLGEHoSIcVFVnriI5it9tRVlaWlXFR2XzumUw6WrNJ hBGEjnSID0rX+Id0JhPjBAsKCrJWgGTzuRPmgUQYQRhg9hVVOljrMgmyPGYeffv2TXUTCIJEGEGkI+lg rcskyPKYeQwdOjTVTSAIEmEEka6Y3VqXSZDlMbPIRNcykZ6QCCMIgogAWR4zh0xwLZOIzBxIhBEEQUQB WR4zg3R3LWeCiCTaoDxhBEEQRNbAXcuiKKalazld8hgS0UGWMIKIAJn+CSJzSHfXMsUnZhYkwggiDGT6 J/SQKE9/7HY7PB4PPB6PYklKFzGT7iKS0EIijCDCkO7xI0R8IVFOmAGKT8wcKCaMIMKQ7vEjRHyheByC IOIJWcIIIgxk+ifUOBwOWK1WyLIMq9VKopwgiA5BIowgIkCm/+wiUswXY0zzX4IgiPaSMHfktGnTkJ+f jxEjRijP/etf/8JZZ50Fi8WC+vr6RB2aIAiiXfCYrwcffBATJkyA2+3WvO5yuSBJEhhjkCSJ3JEpxu12 o7KyMug6EUS6kDARduONN+LNN9/UPDdixAgsX74c48ePT9RhCaLD0MCevUSK+aIYQfMQSTATRDqQMHfk +PHj0dDQoHlu+PDhiTocQcQF2v2W3UTKwUQxguaBdi4TmQDFhBGEChrYs5toRBbFCJoDSlpKZAKmFWFV VVWoqqoCABw4cCDFrSGyBRrYCRJZ6QFZJYlMwLQirLy8HOXl5QCAkpKSFLeGyBZoYCcAyoqfLpBgJtId 04owM0EDcnaRjQM79fE2KC6QIIhkkTARdv3118PlcuHgwYMYMGAA5syZg169euGuu+7CgQMHcMUVV6Co qAhr165NVBPiAg3IRKZDfVwLxQWah/YsDmhBQaQTCRNhL7zwguHzV199daIOmRBoQCYyHerjWtItLjBT RUd7Fge0oCDSDXJHRiDdBmSCiBXq41rSKS4wk0WHfnHgdDojXpNYFhTdunVLZPMJIipIhEUgnQZkgmgP 1MeDCRcXaCbLUyZbMdWLA1EUsXTpUvj9/rBiM5YFBW34IswAibAoyMZAbSK7oD4eHWazPGWyFVO9OGhs bER1dXVEsdneBYWZhDWRXZAIIwiCiBKzWZ4y3YrJFwdutxvLli2LSmzGuqAwm7AmsgsSYQRBEFFiRstT NlgxEyk2zSasOWSdyw5IhBEEQUQBnxTnz5+P5uZmmhyTTDzFplrgmFFYJ9I6R+LOXJAIIwiCiAC5rMxB PASE0bU0m0s3UdY56sfmg0RYDNAKgiCyE7O6rLKJeAkIfi2LiopgsViwfv16XHbZZZg9e3YCWt0+EmWd o35sPkiERQmtIAgiezGjyyrbiJeA4Neye/fuEEURgwYNwrFjxxLQ4vaTqBg46sfmg0RYlNAKgiAyl0hW brPsQsxma3y8BAS/luvWrcPgwYNRUFAQ34bGiURsuDBLPybaIBEWJbSCSG+yefIiwhOtlTvVuxCz3Rof TwFht9vh8Xji2Lr0IdX9mNBCIixKaAWRvmT75EWEJ12s3Ilo5+7du9HQ0GBqi5CaeAsI9fkTRCogERYD tIJIT9JlkiVSQ7pYuePdTrfbDafTCUmSIIoiysrK4tPQNGH37t2a8z/ttNNoXCCSDokwIuNJl0mWSA3p YuWOdztdLhckSQJjDJIkoaGhIT4NTRMaGho050+LMyIVkAgjMp6OTl4UT5b5pIuVO56FxR0OBzZs2KBY gvL7F6DpSAv6dO8U72abksGDB0MURUiSBEEQkJeXl+omEVkIiTAiK2jvJEvxZEQ60J5+arfbUVZWpsRE Wbqfgu9+MKcIS8RCqKCgAJdddhneeOMNMMYwc+ZMFBYW0v1NJBVLqhtAEGbGKJ6MIMxGe/tpQUEBLrjg AvTvPwAAwFgCG9lOuMB88MEHMWHCBLjd7rh99/Hjx8EYA2OM7m8iJZAII4gw8HgyURQpnowwLR3tp01H PWAMkE2owtojMN1uNyorKyMKtsGDB8NiCUyDVquV7m8i6ZA7kiDCkC5B20R8SNf4v473U6b8/7eHT2BA z85xb2N7iXVjTXtDCJgJBSiR+ZAII4gIpEvQNtEx3G43HA4HfD4fbDZb0G45swu0jvRT1vpPZgxNR1tM JcLsdjvmz5+PmpoalJaWRjzHWFLSNDQ0QJZlAKAdklmAGe9hEmEEQRAAnE4nvF4vAMDr9cLpdCoDdaZv 0GCs7Z8kp7o1WtxuN2bOnAmv14vNmzdHDJ6PxXKm3iFJ4QaZjVnvYYoJIzKKaGNBkv1dhPlpamoK+ZrL 5YLH44EkSfB4PBkawM0CFjGTeeVijQnjrtmHHnoo4kRbUFCAsrIyXHTRRaaZlJNJNo1xZt1kRZYwImOI 50qHf5fH44HFYsHChQtRXl4e5xYnDiOzuxlN8R2ho+ej/vzOnTuxatUq5TWbzabJIJ+Xl6e4rWRZzuCc UgyyyUSYkWUrmoLrkfqE2urFv49/Nhswq2UoUZg1aTeJMCJjiGd5Im75kGUZsixjxowZaZNDyGhwBZBR A25HJxD157k7SpIk5fXi4mLN+5ubm2GxWCDLMiwWC5qbm+N2LmaA6y7GAAjmUmH6TQdAfPtytokRTraV czPrJityRxIZQzzTSTgcDmXrOtAWtJsOGA2uZjXFt5eOno/68z6fTyPAAODDDz9ULC5AoD/k5uZCEAQA wOHDh+NyHqlm9+7d2Lx5M/bv+Q4AD85PbZuMsNvtmD17Nux2e1z7sl+SsW79hoy6N6IlG9PvqPuRWSAR RqQ9PK4BQNSxIJGw2+1YuHAhbDYbLBYLcnNz02aQMhpc8/LyYLFYYLFYMmLANTrHWOJb1J+32WwagQVA Sd45b948AIH+cNddd4ExBlmWMW/ePFRVVSXs/JIBL+C9ceNGrHn1Jezbu8e0ucI4brcbjY2NsFqtcREP XzUfx4ARY7JOjACxxc4RiUNgaZAcpaSkBPX19aluRlaQbnFDiXYlpNvvwVG3G0Bax7eFwugcY+kH+piw GTNmwOfzad4jiiI2b94Mu92OSZMm4a233lJemzhxItauXRv380oGbrcbFRUV8Pl8YIxBEASMsl+AKdPu Ahhw4WmnpLqJQehdyNOmTUNZWVnMbmj1/fzpvqNwu2vx4drXACDm7yOIUESrWygmLAzpOgG3l3SMjUh0 XMPOnTvhcrmQl5dn+t9CjTowubKyEl6vF7IsQxCEjIlnMjrHWPqB+vMul0sJvFfDGFO+q3fv3prX9I/T BX6ft7S04MILL4QgCLCIIk7tNwAwsSVMfa8DwMCBA9sdB8jHt/80/4g7rr8afl/gOfVmDIJIBiTCQpCO gqSjpGOgZiJ3vFRVVeHWW28FAMUCko4WJLPuCoonHT1H7q5ljCn/ZYxp3NAHDhzQfEb/OF3gm07UTpAz R45G03e7sWvbhxheVJLC1oWmo9dYP75t2LABh0/48JPBgyDLMr766qu0GPOIzIJEWAjSUZB0lHScrBO5 46WmpibosdlFmJH11qy7gtpDKOt0R86RJwOVJElx1xYWFgZ9V1FRkcYdWVRUFL8TSyJ80wm3/DHGsGvb hwBjWPjEo3h0WQ0uPn1yilsZTEf7sX58GzhwIE467kP/AQMgSxJ2795tqjEv2zwx2UrCRNi0adOwevVq 5OfnY9euXQCAQ4cO4dprr0VDQwMGDx6Ml19+GSeffHKimtAh0lGQdJR0nawTVVaotLRUM+mWlpbG/Rjx JJz1NhNKL0WyTrfnHHlsFE9Hwt21Rt/Vs2fPsI/TBb7pZMaMGRAEAYIgBFyQjMHn82H7B7XANeYTYUDH +rF+fDt2/ASsP3phH38x9n7zFa677jrT3CPZ6InJVhK2O/LGG2/Em2++qXnukUcewYQJE/Dll19iwoQJ eOSRRxJ1+A6TrTtHzLiFN1WUl5dj0aJFmDhxIhYtWmR6K1impaHQE+/z4xPdunXrlPxf4RZc+gStyUzY Gu/M5uXl5di0aRMuuugi2O12RYxZRBH793ybsRnU1ePbgWMeNO35Du53NuDrr7/GzJkzTXPemX4vE20k TISNHz8evXr10jy3YsUK3HDDDQCAG264Aa+99lqiDk8QcaGwsBAOhwOFhYWpbkpE2pv3J11Kl8Q7rxGf 6LgAu+SSS8IuuLZt26aksUhmwlYuFh988EFMmDAhbtfJbrdj8ODB+OCDD8Bak4MxmeGNl5+L63HMCgPw 5ae7IPn9YIyZqhxVNubwylaSGhO2b98+9O3bFwDQp08f7Nu3L5mHjwkyBxPp1gfa405Op3OMt7tcH3JQ UVER8jvdbjeWLFmiBLPbbLakTYzxiE8NFV/U0NDQutuQBYp3S36gNUdapsfB7tvzHT7btUN5bKZyVLyv O51OzfMUJ5Z5pCwwn5u/Q1FVVaUkQ0zFLqRsDMxPZxIxOKVjH4g1ZibdzjGesW2xiDqXy6XJqj9y5Mi4 tCEaOhqfGk5oDx48WCnbJAgW2Gw2SJJkautLvO71vd/uBtOlJTFb+pZly5bB6/Vi2bJlmD9/PmbOnJkW CyYiepIqwk499VTs3bsXffv2xd69e5Gfnx/yveXl5UoMTklJ8rdMZ2NgfrqSKGuOw+GA1WqFLMuwWq0Z 0Qf0E1i29/NQoi7U78QD+Ovr6zFhwoSkTIQdtQCGE9oFBQUoKyvDx198hc55fXBR2d346qMPUP7LK005 wXfkXtdf01P7F8AiipBbxbXZqmLor1tNTU1aLZiI6EiqCLvqqquwbNky3H///Vi2bBl+9rOfJfPwMZGu OwWzkURac7j7KQ0KS0Qk1ARG/bwNt9uNefPmYdWqVUqeMPXvVFFRoQTyJ3MiNBKL0ViE1GV+ABgK7YKC AuT07I39x7zIHzYaJWPPgX146AVyqjh4zNPue92o7+f37YcrSq/Dl59+jG65VsydO9dU/V+/QCotLcXm zZs7vGAil6a5SJgIu/766+FyuXDw4EEMGDAAc+bMwf33349rrrkGixcvxqBBg/Dyyy8n6vBxIRO29WcD ibLmuFwu+FuDdv1+v6lWnu0ZSENNYNncz/WljxwOB7xer/I6D9bmv1FFRUVcJsJ4tDuSRUhf5ueWW24J WZbn0HEflu/ciyn9TqB7Jyv2/NCCfj06Jet0oqLh++M4/4Lx7brXjfp+/2EjwQB0O6k7zh52munuAaMF kjp/HRCoFBHLGJBOMaDZQsJE2AsvvGD4/Pr16xN1SCJLSZQ1Jy8vT0loaaag3fYOpNnseuRiKy8vD83N zcq5q3/HSZMmaQQYEHzdU2U51Itup9OJlpYWpdC40QJBLTyA8GV+vjzwIwDg/W8OY1j+SfjuhxOmE2Hc GM132MdS59Go769+2wX3pnVgjGHbB++htrbWdLUj9Qsk/ri9Y0C6xYBmA5Qxn8gIEmHNaW5uVjKLJzMl QSTaO5Bmq+uRT1g8nstisSA3Nxc33HCD8jt6PB6sWrUq6LNGtTaTbTnUW7QmT56M119/XXGRWywWQ0Ed i+jme6RkOVCuSTaR950L0CPohL8+9IByPpHqPOqFK+/7gwrHBF7ftE4JzJckCYsWLcKyZcvSwjrU3jEg mxdiZoVEGJHVhHPrORwO5Obmmm7AijSQhjunWAREpsSO8AlLbdXkFi/+OwqCoCngbbEEUiiaIVhbPeFK khSUX9Go8DgQm+jm+9RzRAtkExXxVgtQCAKYLEcVjxfKUmS321G/+3u89exTSm40Tjirotlor5jK1oWY mSERRmQtVVVVmDFjBiRJ0gRgq8WHGQescANptLFC0QR0Z0rsiH5nI8+MX1ZWhrKyMsVNqd7+P3/+fMVt merz5u3n7kc9jLGQwiEa0b3128PY8t0PAIBuuVbIjJlGhKkFqGCxQLSIEAQhovBwuVzweL2QdZYibuW7 8EIHNmzcGPheBCye6ZQYtaNiqrGxUclBlur+ne2QCCPSnvZYbNxuN+688074/X4A0GTL1ouP2bNnJ6rp 7SbU5BrJTRGtuDJr7EhVVRVqampQWloatoxUKFeUOiaMnw8X3jzWqLi42DQCDNAm7ly6dCn8fj8EQQBj TNnB2RHh4PG3WdKqP2jaNw5GAAAgAElEQVSE1SLg+lH949DyjqO2+FhtOfjtn+ZCaDmKKyZdEvbaOBwO 2Gw58MMLm0pYtZbIxDl2O8ZecDG+/GQHunY7CYXDh+KSSy4xzTWPhva4xd1ut2bzydKlS7Fx48a0OedM hESYAZnihskGOhKgqnbjiKIIh8NhWvERLZHcFOrza2lpgdPpNDw/M8aOVFVV4dZbbwUApbC6kRAz6hOc wsLCiLsIBUGA3+83lQWQT7jccsevh36cas/YJVq0SbNf2bEX1xb1i2v72wsXoOs3bETvYaMwasw4FPTs jD7dw28aOOecc7Dw+Vex5f33cMWlEzS/BWNAbW0tnv7r/8Hv8wEAVufkYNWqVaa41mriPRe5XC74Ws8Z gKnHuGyZh0mE6Qg3qUe7CieSR0cCVHNzc+HxeGCxWPDkk08qn+PiQxRFNDY2wu12p80gEMlN4XA4lAzp jDFUV1ejuLg4qD+bMXakpqYm6LHRfajvE06nU8k8biSs9DFX3MpkxgnKaLcch1s5fD4fbDYbFixYgObm ZkPrnxrRoHKJOZyRAQpHjYFtwDC0+OSYNgyMGDUWI0aNxU96dVGeYwjEuy1f8za+P/Q9+JkKgmC6a52I kICAhdCmiYk0wwJLTyaFQ0SCRJiOUJN6tKtwIrnEO0BV7/qprq7GkiVLMG3aNNNtXw9FODeF3W7HtGnT 8PTTTwMI7AqbMWOGoYXIbPnDSktLlXuPPzZC3ycAhBXqamEKBGKseNyYGSeoUDidTmVy9Xq9uOOOOwIx UKodoUaxbnpLGBAQKoyxsKXlkoUkM0gyIDNgx5Y6rPioDlMua3NHbtl9GMX9e8CiOg/udtyxtQ4rd9Th ykmXYNSYsfjywI9gAGxdekAtNc1YESMRVnm73Q6Xy6XEg5l1TEt3j0RMsDRg9OjRSTtWbW0t69y5MxNF kXXu3JnV1tYyxhibOHEiQ+CuZQDYxIkTk9YmIjy1tbVs7ty5yrWKB3PnzmWiKCrXWxAETX9IZ2pra5nV alXOzWKxsLlz56a6WQrhrueiRYvYxIkT2aJFi6L+jlD3tJrbbruNCYKg/B4TJ0403bWO1M9vu+02zRjF z0f92GazaX6HjRs3sr89v4I5Zj/NHLOfZrhvJTvlwTfZus/3M0mSk3yGxvxwwsvc/znEFr78BsvtFHwd 6745xPy6tvolmS2qeZPldurMLK3vr3lzA/uw8RDb/NVBNu2+B5hgsSi/y2233ZaKUwtLNP02U4nl3BMx /seDaHULWcJ0hLKQRLsKJ5JPIiw2+h1pzKTuqfZgt9uxcOFCzc5Qs1gBIrkhCgsL0dzcjMLCwrDfo+8T kVyrxcXFsFqtyu9RUVFhquusznUmCAKmTJmCWbNmadpYVlaGpUuXBoLYrVZYLBZ4vV5N6S1eAULdl/WW sOPHjuLjbR/CcdrlST3HUAgQILUmVPV5vZBlrXVEZkCLT0KXHBHvv/8+XC4Xxp17Pra639W8f/2Gjbhh eBEYgMIx58JqtcLv88Fqi5xzLBXoN5TwjUMdif9LF6INh8gEtyWJMAR3ZqNJnbseKSYsOzDakZZu7qlw lJeXa0qgmGXgCueG6MiAG06ou91uzJw5U4kHmzRpUtzOJ164XC4lxQYAvPbaa1izZo1mZ5vdbsfGjRs1 gfsVFRV4++23FdciL0jP+7LH4wmKCTt+9AfMuvE3KO6/Dhecf15Sz9MIQQi4R0eOPRe2HBv8PsBmy8H5 F4xHw6HjAIBP9x/FgS92oHTK5cpOynse/IvyfqstB6POOQ+Mtbla2zBTBJwWfm2NNpqku/iIRDSL60xw W2a9CItlYC8vLyfxlaEYrSqNdqSl2w0ejlCDXCpX2OFi/IwGXP58R9qqFzgrVqzA2rVrTTWxORwOpXoD x2jS0V9Tfa1LfUyYy+UyjAnz+XzYtGmTKUQYY4FM/sOLx+Bx56vYVV+LMfbz0WXQWThwzAOZMQhMwLub 31GVafLi8PeH8LhzOXZ+6MbYc8/HmcVj2mLF6mqR37u3Ei+3YcMG01xrPaH6fbqLj3hgxl3csZL1IiwT lDTRMSIJcbMFqIdCL570xamjESupNu+Hc0OoB1xRFFFXV4c5c+ZEnU4ilLhU1wgFzJk5nbuQb7/9dqWt jDGlrmWoc4vGrRMkwgQBNpsN48dfmLgTigEG1mq9As4qLsHoseNgtQitzwcC9i0MOPf8tuLeVlsORo49 D2cWl2BkyTh0slrgk5iSiPbssedi9646yJIEiyhi4MCBqT7NkIQSGukuPqIlUgUQs+3ijpWsF2GhOngm +9sJLekqxPUiSy2e5s+fr2SAjzb3ldvtRkVFhWIVStVvEUr08gF33rx5WLVqFVasWKG4lWIpYyOKoma3 q7pGKICoMrKngvLycmzbtk3Z2crrmXZ0EaF3R3bp1h1/XvIKxtnPScyJxAhjgAwo5ZS4J1FmfBdkQIz1 H16EmlVr8N7mdzDo7LE4Y+RoyHJgXwIDw44tddj6/rs4q8SOYUUlOHrFL7Bvz2789CeDUVBQkMIzDE8o oZHu4iMaolkUpssiORRZL8KMOniqrQFEctFbWNIhN5i+j6qLUXu9XtTU1CiP1ZaTUGLFqMi1GYUIAKxe vVpJJwGEF01cqDY2NmpygamLNTtUNUL1As1slJWVaXKeOdqZYNjtdsPpdKJbt27od/oIzWudunbDsJFF iTyNqPFLMo77JEVsMQitkiogwCTGlNxfPklG/hkjMfWMs+H1Bx5z8fZRfR3u/q+p8Hl9sOXYMHfJK+h1 al/0698fnsP7sXnzZuTm5prymgPGQiPdxUc0pOsCORayXoQBwZ1Zf+GdTmfGrziyGaPcYHyCNuv11vdR QOueKC0tVWKB9JYwI7HCv48LsEsuucR0OwQB40oHt9xyi6FoUtcGtVqtSlA63+3KS1U5HA6lZJFZxRcn lFUklGvKyKKvLl3jcDhg+fxrYMREzXEkGWAmiFf/5vsT+P6EV2UFE9riurbUod79LkaOPReFo8cG3JJC q4VM5cJkDNjy/nvweX2QZQk+XyAmbPSYcdi7dw82ra6B7PehsrLS1Pd8KDLZa5MJMV+RIBFmgN4yot4d l443KREZHqTs9/vTQnzrByd1MWreXvXuRyB8TJj++8wowIDgSgcLFy4MWbpIXRvU7/ejvLwcTU1NeO21 1wAAsizj8OHDGoui2VIVhNswwgklzEK5YF260jVy62/EsYBbnVJPm5Bqi/9iCAiwO6//Gfw+L6w2G+Y/ 9xqKx4wDIEBuTezKrWAMDKPGnQdbjg0+H2Cz2TBizLn4ds9u1B0SgJ79gAMNaWNpCReGkGnzUybEfEWC RJgB6gvf2NiI6urqjDaHZgodXRGmk/hWW+/Uz4WLBQoXL+VyuQyzqZuNaAdlI4sZFyArV65ULH7bt29X LIoejwcVFRWoqKhQviOVv0WoGphG7TJyTamtpWoX7Pz58zWla0QBkFSfEy0Ccm2iLo1D6uCxXzyoHmB4 veZF+LweAIDP68Wbr76EkSXjWt/fGoAvo/UcBIwYNRaPO5dj2/vvYXiJHT5JRr3rLeDsSYDMTBsHqCdS GEImzk+Z7nYlEWaAfqWhj8EgzEcsE1Yo0lF8877ZXvcpd9n5/X6IooiFCxea8jzVRDMo5+XlQRQDQkIU RU1tUB7/pXbb8li4t99+G+vXr1cC9Y0EeLLcP0ZhEeFqYOrhiwp9wuHm5ma4WkvXdOvWDSMKz8Y/Pjuu fK41tasp3JGBOp6AV5LhkxkEyGBMBJhuR6cSM9bmhty1tQ476mpRcu75KC4Zh7OKx2BoUQmOeyW8uOiv rYIOAJPRr18/0y20jND3iaamJlgsFjDGsm5+yhQ3LIkwHUaTeaabQzOBjk5YHD7Bu91uLFmyBLIsQxRF Uw5uHQ1aNXLZ3X777QDMWxc10sDLA86XLl0KSZIUYcnPx8iSVlhYqElqyi1HQPCuy2Ru2tG7iHl7or3e +t2ksixDEATk5eUp/dzVmnMKn32u+7SAox4/uuamfoqQGcMJnwTRIsDjD7glLy+9Fqtf+WdrxnsbLr36 Gk2w/s6tdbh/2i/g9/rwwtOP46/PvYozzh4NWQb8MsOwUXbs/c8XiuBsampK7UlGid5av2bNGkiSBIvF gvnz52fN/JRJm+dSf4eZDKOJbfbs2Wl7gbOFjkxYoSZ2XrzYDEWMjXA4HEqweXsKEOtddkAgTipUQe9U E2ng5a9zyw8QuHbNzc2a7zFy01ZUVGDDhg2KIOXoBXhHhW8s6AUj0D6r/Nq1a5UNCZIkYebMmQCA5uZm DBgwICg9A2OAAIZvfziBnp1t6GQT43laMcOj02QGCAhYuHZ+WIu7/+cRfL7rI7R6KFtdloG/t39QC78q EH/r++/h9LNHQ5ID33b6yNH4ersbDQDQWuTcrNZuNUbWei6u9f08k0nmfZhoSITpCLcbI1PMn5lIrBMW v5Z5eXlKPi31xM6Dlxlj8Pl8przJd+7cqdQC9Pv92LlzZ0xt5EHuatECAJIkmfJ8Iw28/HW1AMvJycHh w4cxadKksOXG7Pa2epr8NxUEIUiAJ3u3ll4wxmqV1/8mjDG0tLRgxowZkGUZF110UdBmhAM/evG/G79C 5eThUJ++JDPsPnwCg3t1ic/JRQlrDcZnjOHLj7bgL7dfC5/XB9EaEIeSX8K6FS/hcedyjBpzTlttSKVk kQ0jx54LBmDn1jpsr6vF6UXjkFcwBA3NMgQEi20zo7bWZ2uoTKz3oZnnbhJhOqLZaWQm82e8O5eZO2sk op2w1KkLeOyPPjmpOou6LMtKZnKzUFVVpcmeLklSVBYs/fXlv9Hhw4fxxBNPmK6gt5pIA6/eVTNt2jR0 794d8+bNAwC89dZbAEK7Wnk9zYqKCqxbtw6yLMPv92vEXriNAcm4d2INUua/yYkTJ5Tn1IW8JUnCpk2b gPwxms9t/HdzoBwQAirs0HEv/tN8HDJjSRdhspKcleHjLbVKqgnmkwM2Msbg9chY++pLKCoZB5kxDC8q wZzql7Hjg1qcPe5cnFk8Bju21OG/p/8Sfp8PQslUXDDhUgDAsLPOgv2MQL3QysrKtBn74rFzMF3H+1jO PVyiZlPA0oDRo0enugls7ty5TBRFBoCJosjmzp2b6iax2tpa1rlzZyaKIuvcuTOrra011feZkdraWuU6 AmCCIDCbzRZ0znPnzmUWi4UBYBaLxRTXm1NbW8usVqtyDvxfpHZGur61tbVs7ty5pr7ukdqof33ixIma 32jixIkRv6c990Gy751I7Ve/tmjRIiYIguZ3EEWRCYLAHA5H4N/sp5lj9tMM961U/r379UHW4vMzxhj7 +uCPrO6bQ+z9hkMJPS/GGJNlWfn7ywPHmOvLA+z5rbvZc/WN7E9LXmO5nToxiygyW04OE1X3gS0nhz39 yhq27ov97LWde9grH+1hL279lv1r+3ds/Rf72U33PsAsltZ7f8r9yjk/8dxrzOl0ZvzYpycbxnvGGJs6 daqm7wuCkJTzjVa3kCUsSpLthoiGePvF1d/X0tICp9NpntVCnHA6nZps6xaLBU8++aQmNYPb7UZjY6Oy u85ms5nienOMYrksFktEC5bT6VRcj9EUfzYLRqt1HlCub6/+HEpLSxULGAAUFRXh9ttvD5t+pD0WhmTG qISyyqs3JajPbdu2bZHTTXzpBk7XtpenhgAAQdA+TiRbv/0BRf174IRPwgmvHzJjyLVaAAacVjgKDy/+ F77Y+gEKx9qxZvlLWPPys0CrVW/r++/htMLRaPHJSk1MmQG7tn6IfXt2w2IVA/k4VH5WiwA0NDSkRYxR PC1XmRRXFYqqqiolLyAn1PiXKkiERYkZk8bFWxg6HA6IoghJksAYw9KlS81lto0D+l1QhYWFGgGmTtnA WuOCIk5gSYbHcvGEpffddx969uwZccfg4sWLlXPRB/Kb1S2hFxzqmpjRhAVw12NNTQ2KioqwYMECTQxc qMG4vW6/ZCzSjCZPAEGbEtSv6eGB+hzLod04OccOeFTv0SVs5TsPE43MGA4c8+DbH05gx5Y6vLd5M4Qh Y3F24QiMG3QyuuSORtN/vsCyBY+iS/deEEURsizDZrNh5NjzFJNHIGErw4ZX/oml//tA605nKy6e+isc KTkPOPItgEDs4ODBg023yOZEil9tL2Y0LMSbmpoazWOLxWK6nHAkwmLAbJaCeAtDu92OadOmYdGiRUrc iFlWC9EQjZDo06eP5vGOHTuwfft2iKKI3/72t3j88cc1O+RY6wrbTL9De+Ih9MH3l19+uSbe8aKLLlIG 440bN5rmXNWCw+Px4NFHH1VyeqmTq0YSYuXl5aisrAwK3A9XKzQWYZrMRZrR5KkPwAegpKNwOBxYsmSJ kpzVYrHAarUqGw8EQcD5F1+K7gNPxdpPRRzzBCzFPFM9R27NNaanxSfh46ajGF3QMy7nxwB8+8MJbP+w DjN+fTV8Xi/kma8CX3+MD+4+H84n/oIVSxdqPiNarbjjgYdxVnEJvFLbJoQvPtqCpY88AElqTcPCfNj3 XSO6lgCf+wLt7d5nECYM7W26RTagXYQIgmAYv9pezGhYiJVI96jeEv673/0u7II1FZAIS3PiLQyNCgSb 1UqiJtqNE2VlZViyZAl8Pp8yqAGBwPZHH3006P1mLWRtdN25xQtoq4FoNDkDwJo1axTh4XQ64fEETCAe j8dUbmguOLjw+ve//w0AyrVbt24dNm/eHJVVQB+4P3nyZKxZs8awVmh7hKl611q8ArxDlS0KVz+SW29l WcbMmTOV93JrCrf8AsDy5csBAL1O6Q2L1YJLT++NV3cFrMWyWtCB12OEYiHm+CSmeW9HYa0lh7a8/x58 Pi9kuS184LUX/oGV/3jK4DMM3zcfAgPw8bYP8f577+DM0efik/pareueMez6YDOEvDGQh44HAHTt1Rv9 +vVDv379TNPvOS6XS+n7giAo4jnSmBTtmG02w0IsRDPmqy3h4XZHpxISYUQQ6mLGQHrUJosmvoGLlMmT J6NPnz6aOoIAlPgvvmuSu/ny8vJCxiClAqMBtqqqCnfccYcS77Z48WJMnz4dxcXFyuQMtLmhvF4v5s2b h7Fjx5o6USUXHDNnzkRdXZ3yfP/+/bFnzx5Dq0CoCUgvXlwuF1atWmXYZ/TCdN68eXj11Vcjtjeeu6jD fZd+8lSfW11dHVasWKGJfdHnOnS73Zg3bx5++OEHAMC27dtxwRWl6Jo/QHmPPgaMC7CjHj+6d7Jp2soQ 2EHZq0tOu85V+Z7WkkMWCCg+57yAq1EVw/m///17MCYHfc4iijhj9DnYubUOf7ipFH5vIInrDb+fA1tO Dnw+b2spABb4vNRWO5PHjpkR9S5txhjuvffeiJYcs+7kjzfRxrRxSzhgzrALEmGEgv7m5bX20iF406FK XGqxWIJcTG63Gw6HQxEjubm5uOeee5QUFfy5v/3tb0FB+mYa0EKVZ7rzzjs1Gw58Ph8WLVqETp06KTUh 8/LycNdddymWsddeew0rVqyAzWZTYgGtVqvpiljb7XaMGjVKI8KGDBmC5uZm5XfIy8tDZWVl2LgZowE4 2piYVatWGbos9cTzfon2u9QW0OLiYrzxxhshY//4+/m9wF+TJQkH9n6HTv3aErPyxKYcXpPxiwPHUNi3 O3Ktbe9lDPi6+Ud0zRE1z8dKi19W8oKNKB6DK375K7z2wnNtbZjyR4irKwN9vbUuZKABgCwzTZJWvx/I 8R7D/X9/AV9s+wDdepwM5//9CX6/D4F0tAHEVqueGSfo5uZmZYyyWCyKAFMvCvXtjtRvzHie7SHWmDaz jeUcEmGEgtHNm07Bm6w1ZoULkKVLlypuJFdr8lWOx+PBE088ASCQqHHKlCmYNWtW0E1pNhGqj5GqqKjA kCFDgnZLAm2JObdt24anngq4cLZt24ann35a8x6v16sErIpiYAJN5UBtdOyysjIsXrxYuYYffPCBIpjV wksdN6MvyG0kXtVWX/V5lpWVKbVDgcDvFM21j+f9Es136RcXfEcvEHDZ3nTTTYZ9Wn0v8Pf27jsA36qe Y7rdkdxNKBt4HmXGIOjrOcbI0RY/Pj9wtM3tCeCyq6/Da6f+vO1NQ8bgxll/we4vd2Hd8ucVK5nf78Om la9g4s+vhdVmg98PWLv1xCmF5+KK8ePwVfGYQBv7noEDX3+CQ31G4p2mwD0jWsw7QTtaN+GoFxvhNqrM nz8fjY2NsFoDU7t6gcL7jxnPsz3EGtNmtrGcE1GELViwAP/1X/+Fk08+OW4H/etf/4rq6mowxnDLLbco ZTSIxKEvSm7UcY0G/XQJ3nS5XBpLEGNME9/kcDhgs9k0wcl8B6Qoihg7dqzhuZlNhOpjpNatWwer1Qqb zabEuZ133nlwu91Kxn/1LteysjI888wzQeV5uIjz+XztrrsZD0JNhna7HdOnT9dsGmlubsbs2bOVgHvu RuZCUh0zdsMNN2gGYP056q1/drsdv/3tb/F///d/ABB1Att43i+RvsvtdisTMEeSJNhsNiVuyMiqmZeX FxQjOHL0WOSd2lcjwqTWgthNR1pw4JhXKYxtFP4V6vlYCFjauIEr8GVnFZcAtbWa9zl+fj3WLPs7ZEkb 67Vx1UtwXPUL/PfTL2HBR0dwwNIDc7b5MOVCAQyBBVr11yKAQpT2zgda3fCiRTDtBA1oFwr6dtbU1Chj gboSgiiKuOWWW1BcXKwRafr7wEznqSeahWAsMW1mG8s5EUXYvn37MGbMGIwaNQrTpk3DpEmTOlRLb9eu XaiurkZdXR1ycnJw2WWX4corr8Rpp53W7u8kwqPPGCwIgmGOpFCDfjoEb/IbTJ0ZXA23hjmdTjQ1NeH1 119XrAFWqzVotagOcI+3CO2IlYlfI31W95KSEowaNUoRW1dffbUS76be5Wq3a8vzqDcnAFAETKoG6nCT YXFxMaxWq1KYm7ucHa2pVXgNzQULFqCmpkb5fbhIUdfZjHSObrcbCxYsAICYiyPH834J9V16CxjHyKWu Z9u2bUHPdeqUG/QcF2q7D5+ARRAUgaQPwhcEtIqcjsdW8fqPAgL/jKxufomhW4+TAWhflCUJOz90Y+q0 GTiwc6vy/I4tdXhz3QacPfZccPelRRBwkhD47aSW4zjnnHNMN0HzcZunoikuLg4SEkVFRcruP7444ddt 4MCBisue93NA64JXj3tmGuMTYZk0q0Ehogh7+OGH8dBDD+Gtt97C0qVLMWPGDFxzzTWYPn06fvrTn8Z8 wE8//RTjxo1Dly6B0hcXXnghli9fjlmzZsXeeiIq1BObOsgznRJ2RoLfYDwflt/vh81mQ1lZmUb0PPXU U6isrMSqVasABNwwl19+ubJa5O4cLtC4S3P27NlxaWc8Bhe7PVBwevPmzcoquL6+Hjt37lTO94033lDe r48L4uV5XK3linhZHwC49957MXXqVCxbtgwej0dJc5BI1Ncn1GqVW30kSVJ2/1VXV2PJkiWYPHmyxgVX WFionJ/P54MoiiguLsaSJUsABPq+esOC0aTL7xmj4siJdtWq80Lp4xP5cY1cimPHjo1JLHIEQcDRI0dw aN9eCP0GKc9LjOGYR2rNu9W2M9LI6sVac3J11BomyTwNhgAICLLYAYBPlvH1p7sCD/oNB6w5wO4dsFpt GD7aDlknzm771dXwezxYsdgG3PEyAGDrzo8xOqcFALDvq08wJK+r6SZol2pnpCzLmDFjBjZt2hS0uUSd y5AxFrSjW93Py8rKFItavPOOxZNEWSbNOL9FFRMmCAL69OmDPn36wGq14vvvv8cvfvELXHrppZoBPBpG jBiBBx54AM3NzejcuTPeeOMNlJSUtKvxqSAdgxrVE5veEmaGFV+84DcYH2RCxUDoJ/o+ffpoRKp64I+3 JSheg4uRRUydnJO7ZkPFBfHfqrKyUhnEBUHAkSNH4HK5cNdddym1JGfOnBmxJmV7MRKlRpOhXhTx6yRJ kmaHK7f6ORwOxWIvCAK2bdumJCGWJAnNzc3KcYx2v4YTg4mMqVFbP3gwttVqVdJp8Pt2/vz5Gvd6bm5u 1AKsuLhY2YjB2fXRNlh27UC3yX3BrUWMAXuOnFBiwZSJHsHCSGbcItZ+FIsaPzgEw9QXfkn13HX/CwA4 a8Mc/OLuB3H6yFHQh0d6HbcCby2AXyVav2K9UIA9AAJWMcB8E7TD4dBsHOL5CvU7XUVRVMILBEHAJZdc osmdF8q7oXbjm801aVbXYSKIKML++te/wul04pRTTsHNN9+MRx99FDabDbIs4/TTT49ZhA0fPhx/+MMf MHHiRHTt2hVFRUWKC0RNVVUVqqqqAAAHDhyI6RjxQi+4zBq8GQm9GRYwjgnLFNSDqdFAM3v27KDfg8cH 6S1hRrvLOkK8B5chQ4bAZrMFiWruegsVF8RRxwcxxvDMM88ogiyeiSFDYSRKjX4To4WEUf4zfr1cLpfi mvH7/WhqaoLFYgFjTBPvyL/b5/PBZrMp56m2rEZqbzx/F7XYBKD8/mqh6fV60dzcDFerex0I3lgQCm5R VLug+W8oSxK+3LkV6DUaACCxNneg2vrFg+YD7WNo8UmKhawjcFdkoHB4YNdi8HYTYEheV1xw5S/gWvkS eGSjUFqB0wpHQpaBH05oLYQYfhHwVR2kkZMNj9uB6JqEog4dkCTJMC7R6D365MW8P6vz1wEICuA3k9Ax q+swEUQUYYcOHcLy5csxaNAgzfMWiwWrV69u10GnT5+O6dOnAwD++Mc/YsCAAUHvUef2SIWlzKjyOpC6 WJmOol/lpUu7wxGNVVIvetQxEHyydjgcGqvImjVrsHLlyqCklPFoV7wGF7XFRBAEze5Ot9utEVb6dqnd XPr4IL6i5gHuiS7xYXR9QgXm64Wz0+nU7GDUW/3Uoo1bkQRBwF133aW8x+l0KtYkHrDPX9u5cycWLxe/ 0N4AACAASURBVF4MSZKUZK6JXKHzmqVWq1VJtqpHfz0GDhwYsh+FqrlpJF45TNXfA21oe80jSbCJFk3m /G9/OIH9xzxKmaCmIx7065Ebc5qK7344gaYjHsgyU6xqlhDuzcuqP8DdZzD0nvUK9raGgO76nmFYfjes WrcJf/7Y4NhiDlBQaHhsi1lVGLShA6GuczTvCRUXzAP4zViezmyWyUQRUYTNmTMn5GvDhw9v10H379+P /Px8NDY2Yvny5Xj//ffb9T2JRL3ilSQJixYtgs1mM+3KIduIxSrJdxepdwoZbVBwOBxBJX5iLVkUTbvi Mbi4VPEiAPD6668rcZWu1p2i6pJLAAzdXGqXFEcQBMW9FS7AOx7oxVU4S5PRQqK4uBh33HGHUjuwuLhY Edn8exsbG1FVVaWkMHniiScwdepU2O32oES1/LHb7cadd96piFKPx6OxouotZB1FP0leddVVms0j/HpN mzYtqiTKofohF5HqvsOxWEScUTgKn7VukVSsUq3pKVp8MqwWi8YqJsla61XzcQ9yrAL69+gc0/mf8MlK HjKZAZbW53/0+A3f/+TChZAvvUvz3Edb6vC/d/4KuOOl4A9cfm/IYx9o2ouCnkNiaq/ZiDSm6OczdRzZ wIEDs0LscMwWUpSSPGGlpaVobm6GzWbDwoUL0bNnfGqOxRM+WPEJmU9ot9xyS9jVJ5EcIrmFeALLpUuX KkILaLNkGm1Q4K+rg7xjFduJdFfpA9iN4kXsdrsSSM/zfuXl5aGiokIz8ap3DarJyclRJvpk9W/9BNJe SxNjDHfffTd8Ph8sFgsWLlyI2bNnw+1245lnnlHOnceNAcCePXs038Fri7pcrqBdo+q2cPe1vtxRe1H3 GwA4fvy4cnyLxRIU52PkZuffE07MqkVvXl4e9u3bhy5dumD3d3twzOPHF/ubAAR+g1yr0CqueNGitlx8 miSucqu7UjDezRgNfCekjICLU7AEAsx+9AYvEgBAPuUnQc996K6F1+uJ+dhNe3YDw8wpwsIt6mIRE47W HcTqvHe8DFImGxPSIaQoJSJs8+bNqThszNxwww345JNP8N577ymxJGY022Yj4dxCRkWr9duzQ21QUL/e HjGSKHeV0eChjwXJy8vD7bffrrjQgIA448KEB7XzHVQANELjzDPPxDPPPJPS/h2Lu5Zbq/i5qncLyrKM 22+/HUDAXXPttdfin//8J4DABPTyyy9jzpw5ymf0ebUcrUkyeXqAJ598UuPSUxcRN1oAxLrS1veb0tJS bN68WXmsj/PJy8vTxLip3bi8LiZ3a+p3uKpF77PPPosdO3Zg146PIEkyNje8C/y8AgDw9c6tOHnsORAF njyVKUJJncRVarVeCR2MC+MWNhkMAgMYBPzQYmwJQ/GVQU+t7TwGQqeuMW8O6Ne/IPbGJgG3261ZPLW0 tCilxqLd2ajui9OmTVPy7AFtgjoTMLrnjMbMRC6S2wtlzFehjpmZOXOmpnCqxWLBpEmTUt3EdhHLpGA2 U20owk3WRnEvgiCguLg4aOek/vMdjddKVECp0eAxe/ZsJRaE91m18AQQtONzzJgxcDgc2L59O1paWvDO O+8o7x0/frwprnm07lq9tUoP39YPAC+9pHVRbd++XfnbyNIU7jqq6/nJsqwROO1daRsdL1ScjzpdB89h ps4HJUkSVqxYoSw0eCFv/Q5Xbi3WJO5t2Ao0fQn07IMdH36MUWPGge9SlGXAJ8lgTMSXB4/hjN7dAKjq PTIBjKHVchY7MmOQZAZZZhBFAfuOenDH8p1Rf77hGANu+2fMx/3+4EFgqLksYfpdsgCUUmMrV65UrODh Ns7o++L8+fPRqVOnDoVbmJFQ95zRmJnImM72QiKsFfWFVO8MA6C4IlesWIG1a9eawoQZLbFMCkY3baJj gjqC0WStDm4GoFh++ES0fv16Tc4vI9M+d+fw12MVpokIKA01ePBjcfeUfmXLyxFxa9G2bdvw0UcfaWKN 1FZedR1Cs1t9ubVKLzzVSJKEmpoaw9g3oC3+TW9pAkJfR309P3UOsY6stNXHM3KjqOPQ9DnMjNxN6r89 Hg9mzpypSejrcrmMf5c9nwIn98fZY86FxBhEJkCWA9nCPJIMvxQQS98ePgGG1sz6qp2N7UEQoGTklxiD DcC+Y8Hu8kTw2cc7cNF5Y021AFVbW/Xw5wRBUEIOjMSEvi/ytCz3338/3n33XQDmjm2O9nqEuueMxkwz 7rokEdaK+kLqS5/wiTxUglMzE8ukoH6vx+NRSmCYxXceDn0MGN/1AwDV1dVBK0Z9GadQFQX0tdlS9TsY 7Q5UZ7pWDziiKOKcc85R3OhAmxhVZ9TmiKKIv/3tbwACwoa7btW1N1NFqMSlQHCCXn3yUgCw2Wzo3bu3 oUiz2Wy44oorlDiwaHE4AsXifT5fUExNPFbaRoshXngdgGZ84q5Il8uFyZMna1JZ8GB+Ltjq6upQV1en XFeHw4ENGzYoY96QYSMw5pKr8PrBLvjE0gX+PkO1aSl4MH6r+/GY1w8BAYEW+J9gmEMsEl8d/BGHT/ha XZ1tQsznNxbOccV7Al27dsXu3btx6623pvw+56itrUCgr3KrNr+u3MLt9/uxc+fOoPYa9cWdO3dqrN/q ncIdJZ4iNhbjQbgFajpUgCER1or+QnIrUF5eHrZt26ZkYU+3QEb95MxLvRh1QvV7ASgTttmFp1EMGNC2 fV+dA4zvlAtVT029c8jrDdRmS3UMgXpw44HmRgOUfpfhe++9pwzaFotFOTd9qSJZlpW8U2ohk6zzDTV4 GyUuzc3NDSq1ZbcHEvTef//9mgkGAMaNG4fnn39e89zYsWMxatQoZbesx+PBM888g4ULFyppcSKhTgSr Jh4rbf1i6NFHH9VsouALQ31tQFEUkZubq9mY8NVXX+HRRx/VfL/anV1WVoYdO3aAMYZThwzDuZdfjf+8 8zU+2dGEWas/xes3j0WO1QKfxLD3SAu65VrRvZNVcT8KQiBGzC8HJFh7AvMPHffC0nrP+aRAvvsWvwwp CeFKwrZVGH3dr9HQ0NCh+zzeVrTm5mZN/Ob06dMxcOBAZTFSV1enCG5ZlnHHHXcYJlRW7wx3uVwakQ5o 3fIdId4B7+GMB/rfOtw9ZzbBZQSJsFbCXUi3260peRILqTZxq60FS5cuRXV1dcgdXXrLAndVmF148htW v6sxLy8PTqdTieVbs2YNqqurgxKRAghy5fDSH/oAaYfDkdRrGktwqTpwPC8vT0lFALRl0Ddyb6hXyVys qZ9P9vmpz8Mocal+guRW0JaWlqDv14syURSVzPKVlZWasjD6iSyUFc7l0iaC1benowM/Xwzxtv373/8O eg9jLKg2IADF+st57LHHDC2f6uu6ffv2gDXso4/Q49QCdLL2Vl7z+mWwnECOsFmvf4Yc0YKXy0YpCVtZ q+XquFdCt1yAsdjygwEBK5ul1R3p8TNYRQFMZmj84hOgnfFl0TLp6uvQt/8AdO9ka7cFMxE77tRJlGVZ Rvfu3TVhFHzTCUeWZTidzojWff2iobS0NC7jWSwel2jQG0V4fsdQGxL4P3VCWrOLLw6JMBWhBk+XQd6l aC6wWbbDqieOcCkd+I04cOBATdyBUdkbM6G39k2eHMiMPWPGDMWywzPhc4uKOhFpcXExTjvtNHzyySfK dw4bNkzZKagOkAbC52eKJ/rdUZGCS/X97a677sJjjz0WMh4KaKs3CAB333238t6RI0fiqaeeSvh1Dzd4 OxyOoEnDYrFoJshQhaxDMWXKFOX71RMdEBCqPFlrOCtcPFyO4eCLIXVJKiPy8vJQWFio6ftNTU2axLRG 155P2ADQ0NCgjG2yJGHbB++iy5hftL0XrWlc/K27jCVZif1iLJDRngsySY59kcphYK3fxcBk4LPt9Vj0 598B1z/Wru+Llt59+gEACgoK2m3BjLcAAbSWMAB44okn8NOf/lRZDBQXF2tS1FitVk06HrV1Xx3bLIoi pk6diuPHj6O0tBSFhYVxGc/ifU+ojSJq4RWukodZ5ttYIREWBY7WoFdZlkMGQRqRiJuzvYS7SYxiUNTv DVf2JpmEWrEZ3bBGuwRtNhuAwER+7733omfPnjh8+LBGrHE+/fRTJc5CLc6TVW/NSARECi7V97ft27eH nMC5qOBWodtvv12xmgHARx99ZBhnEm/C9Uu73Y7TTz8dn376qfLcaaedpmmTyxVcyJpvNtC7XS0Wi5LQ lu8wDCUawlnhjMpe8VV6PDay8H7OrbBGGw8YY8pGk/Xr12PevHlYtWoVVqxYEVEIybKMRYsWYdmyZXjo oYfaXNUWC0afcz4+trRZs5jMcMIn4Zpnt6g+z5QAfMZUZY8Yizkw/z/Nx5Wg/k+2foj33n0HhSXnYle9 G1J7k47FQGupcADtt2AmQpTzOYfvXPX7/Uo6Gr5bHwgsLqdMmYI+ffoo1SPCpeMRRRF9+vRBcXExmpub lYoR8aplGy8Pgb5YvT5e2yiHI7eGp0MIjRoSYVGiJCmMYZBJ9Io5FsLdJPrJW13c2Cxm3UirnEi7BHNz c3HPPfcoRakXLFiA+fPn43/+53+0W/RbYYxhxowZQXEWybqmahEQKoVCpEDcoqIirF+/XmMNEQQBv/rV r3DWWWdFvLaLFy9ul6iIxb0RafAeOnSoRoQNHTo06JzVhay50Pb7/cqAzWOkrrrqKuVzrtbdZ2psNpsm T5i+yDUAJR2F2v2hFst8coh2Q0OkZJLz589HTU0N3nrrLc3n+I7HiooKlJaWYvXq1WEtnhz1JiOPx6Op GMAYw5rlL6KbvbTtOQAHf9RaGSWmrSXZ4pPAwALPR2yBlubjgWuwo74Ov7+xFD6vD6/abCj73RyIXXsg RJawuLBH6oJuvXrjlB6dkN8tt93fk4gdd3a7tiakxWLRbKrh11oURYwdOxYOVewrXzjr0/HwkJSqqipN gH+8qsDEK/4qklHAaNc+Dxniv4/ZQ2jUkAjTYTSBOJ1OZbXt8/lwzTXX4MEHH4wYxJuIm7MjhLpJjCx9 ZgtoDGVV1F8vtRDhrsk+ffooA5LalF1TUxNkKVE/NnI9J+ua6gWVWoDxGKimpibl3PQBqtwiyOPb8vPz sX//fgDA8uXLceedd2raXlZWpknkCABbt27Fli1bYjLtt8clEK6vzZo1SynfY7PZMGvWrKBr7nK5NOkb qqurFaFx8803Awjs9Fy1ahXWrl2L+fPno7GxUePqFAQB06dP14hc/W5DSZKC8m3pLWZc3KhrUMbyWxkt iCoqKpTn1e2VZRnr1q1TdjhyRFFE37598e2332qOZ7FYNKJWlmUcO3asre2yjFefXwbxw8+AK/8YeI/a VMR/BybD45fRySpCZgzH/RIYA/ySDMaA70/40C1XRPdOtrDnD7S6MMGw5f134fP6IMsS/H7g46MW+Kf+ KeLnO8Ktxb3Ro+8gDDr1JAzs1aVDsVHxGC/1x+fzy+LFi9GpUye89957QQuqSNZx/WLb7/drrLtmrALT HqOAS5VuJR1CaNSQCFMR7QTy7bff4tZbbwWAqIRYOnSGULu9zIKRBSrSLkHuHuJb+PPy8jT1EouKirBp 0yZ4PB6IoogJEyZoLA6hXM/JuKb683C5XJrfQj0hq1NJqC2C6jxDaouHUSzFvHnzgqyH3EIYjWmfTyCN jY1xddfa7XY8+eSTqKmpQWlpwEITqsA3b4faIlBcXIyamhqlYkBLS4sS1MwtZYwx5ObmBrndjVJXGMWt 5eTk4MSJEzGfm9HCQt/P+bVfsGCBUmydn5M6Xoz3a74rEoAyRnFsNluQZRGAxu3FGIP/+FHlNcYY/Dq3 oAUCvJIMnpiCr1tkgaHFL+OEz4+vm4+jqH+PiL8Bt6gVjTsfVpsNfj9gtdrQ0vsM4PsYfsx2MPvGq3H/ 31/AiJ9PTHk8kdHxAQSlJuGudovFgilTpmDWrFlhreNqeN9SW235eG8WAQYYB+VHEsf6z5glhCYaSISp MBoUOUauicWLF0e9pT2RdHR3C18hcV96NKv4ZGO00gsVn8Xbrk5bIQiCkmsHCFg1nnjiCQBtSQ/ffvtt zTGLi4tT+juoz0OdTkMfA6Xuq/z30ecZ4vDkjjxVCf/+UCIimvqZ+uLT8Sxyz2O3vF4vNm/ejBtuuCFs ySAguGC7etLRhxSUl5eHtAKUlZVh6dKlittSHZfH4f2S7yj2+/0at2Y4Qk028+fPx7Zt29DU1IS7775b CUj+3e9+h6lTp8LVGi/mao2Hs1qtWLBggbLg4K6aqVOnKpY8bh3Q061bN1x22WV4/fXX234Xz3HldQag RVe/sV/3Tmg+7lViuT7ffwwnd7Ehv1suvJIMSQasFsDjl7Br71GMLjCuDbxl9+FAID6As4pL8N9Pv4Q3 tn6BI3lnYNv3iV8M+v0+fLrFDeHnk0Ja2pNFqLlHX4pL/ffatWtx+eWXRz326/uqz+eD3+9HVVVV3Gqg xgP1WH/48GHccccdkGUZNpst5HWJ5KFIdZaCcJAIU2E0KOqtDmr69euX5BYGE48VnDr+hTGGpUuXmjJb un6lFy4+y+l0aoQFF5hq1AMcP3c106dPj/MZxI5+cG5qagpqp1HtwKKiIs3uKs4FF1yADz74AFVVVaiu rsbQoUODYqOANmE6bNgw3HPPPWH7grqNADrs3ggVlMvPP9qSQUBbZnmLxYIhQ4Zo0j2Iohi2n9vtdmz8 f/a+Pb6K6tr/OzPn5IGK0UhNsUR8AAaNJBCCBzTEgigqmgvqvdU2VAIhAaS8TEurLZYWNKhE3gkESm4R tDcaQEwRoyE8DoRHwAgoitJYMdZG0oiQ5Jwz8/vjZO3s2TNzHklITn/lez/cmjnznv1Ye63v+q7339d5 VXnuFj+oOxwOHQcnkOc2Cx/zRGqe26hpGnJzc7F48WJGG+AlWeLj41FdXa2rJZqXl4ft27cbvAM0Advt dtx+++04ffq0vp14WplYqqbBLRC9jhyqxHVxCS0FvYH5734CAPjz4wlMJ8zlUfHhV9/5JOp7DTANHx4+ iLeLN+H7Zjf2Xf8Y0GDcV3p/NbS7Jxl/aAdsNjviBjkgy5LPsaQzINIoampqkJiYqOM78qCwdyAGCg8K 34sGXagR2ek+7rrrLjau+HMQWHkCu9rL6Q9yV99AKIC0RQBv7cD58+ejrKwMVVVVlgaYoigs06or4ct7 5wv0zCTcOmHCBOaadrvdKCoqYr+HKhwOB/Ly8jBixAiW5Qfodd0ChVhnMicnJyS8nDQ4U/khACwzCvBK TLz//vs6vajm5mZUVlYyDyBBlmVERESw0JzH48Hx48d1JN3k5GQ88cQTjB93/PhxTJ8+3Wc7SE31KshL kgSbzYb09HTMnTu3zQbYiBEj8Oyzz2LEiBEshEznjomJYc/vr2QQ4DVQScR07NixumvNnDkTAHy2c+IZ igYYf490rMPhCPq56Rj++7lcLtPkEsC7cKDnc7lcTKusqKgIU6ZM0YVdq6qqdOOZw+FAdXW1rh4uAKMR rrZ6vszCkdP3u/HRkYMA9F7FOVtPsDqSGihbEt7yRtx+jS5PixcM+ODQATz1+EPYsvFPKCv+s+V70jQV eCs34PfqD3ec3IBnVr2GvgMGQUKrQcy/q84EXX/SpEnQNA35+fmYPn06li5diqysLKSlpSE8PJx9M+rX tHgkA8Uf+LJufD/q6sQxM4jGYnvO05Y5srPwH+8JM7OSSRTPqlGTWnUoWNNWKzhf7lezZ05PT9cpy/Oa M6FaQ1IMVcXHxwMA5s2bZ5rxGAgkScLkyZPxwgsvdOStthlkaJKH4+2334bdbmcZf+QtEvluhFtuuQWf ffYZ+5bjxo3De++9ZxjcKPsSACsOTaAsPLP6igBQXV2t4xS1B+KAWVVVpfMGJSYmIjw8HE1NTZBlWecJ M+OF8N6p8vJy5h2UJAkNDQ1+V8jBiOXS/m0Je4ieEJIUAKD7Fna73VB6StM0bNq0SbcfebQTExN1zzJ1 6lS2n8vlwunTp3V8Qe/BredRVQ0ej3EiPHZgL+4aNlSXDVn7XVOLhhggk5irBtR+14h/ft+Mm6IvwxUR NjS5VVYnsmrfbrjJIz1gtPULkhXg5G4AHbDw/cdnqHp3Cx545HHwWQddzd91OBy6JLCmpiaUlpbizTff BNCakGNVossMYnm21NRUuFwuKIqCzMxMJlURamM7YJ75LIb5zfqbr2StUDQ2/+ONMF8Danp6OtNeIUiS hIiIiJAh/pnFwv25X82emdc+qqmpYc8dyjUkxecoKirC+vXrdRwgRVHw4IMPBqSfBHi/Lz9xEbqCU8CT 3Smr0+PxYNiwYdi9ezfcbjdyc3MZYdds1Th8+HAUFhbq7v3UqVPIzW31KtjtdmaAWYXf3333Xezatcvw /cWJnbwybX1X4oAJtK72XS4Xqqqq8NRTT+HFF180ZCuaJTOkpqayRVV1dbXOoDt+/LhfXSGzvuJr4dPW sIfYj+na9fX1WLRoERPaXLZsGebPn6/LfFRVFfX19YZzulwuXd8dP368ro0oioLevXujqakJp06daj2Q 84T1vDISz79/CiL6D3KY6oK1cu6kFs6YBlWT4FZVfNfkxhUR3imHBF8HDBkGm90OV3MzMCLbcB0GqQOD NpIMV3MTvj5+AFeGAQf/2Q2Xh4empMHWrVtZtIJCiXxlD4KVgcK3x3vvvZf1bTLwQ8HbbwUx81mkDhQU FOjC75TMYJWsFYinsCvwH2+EmQ2otOIAvArbNIFLkoR77rnH0iPQVRBXcL4MS8B3wVOHw4GCggJdFg6p Locab4Ceo6mpCZIkoba2VpcRSBMX/TcPMlrIUKOJnkQwxfI1nc0pEMnuPKgmJIEMNBGU8Se2j6ioKJ3R RkYntRsel112Gc6fP2/5/cWQgSRJOi9qsO9KNKRKS0t1hhOV06JrNjY26lTuyXD53e9+x7TCKIusrq5O 9935AudWukJiG4uOjrYkAfvrd4E8u7j/XXfdpdOGKi0tNXquLECK+fTtamtrGZeMDDoA2Ldvn/5A7ntO faMaH3/zveHc5OVyCQUevWFIME+Xt6yRV1lft1/Lb3EJSXhlw2Zs+cur+Kuvh5GDL4dkCcm7aOnxwx9B QuCFkTpjISYu/DVNY+Ez6hNmCy6zrPby8nJdEsvJkyd1vx8+fNiyjnAoENn5edjMAMvOzmbvgZJ0AFj2 QYr0hFISAnDJCDNYydXV1bq0YAoNAK0eg1D5eFbw5371lUlCIT5Kd581axaWLl0aEq5cMzI0H6p76623 DIOT2+3GmTNnDOeiifjpp59GWlqarkSM2HnbMrl2RMYqXVNVVYNIoy/wKtrV1dWG+0hNTWUhPVVVcfDg QcarEwf477/3TsBWvBH+XLIs48EHH8TWrVvbXQg5Ojpa1w8JYhhG0zSsXr0a3bt3x9KlS3VGOL2vkpIS lJaWYsmSJQgPD2fZhv5Kc9G9jB07Fhs3btR53swQSNjDTJzVqp2IBi4AnDlzRreg6NOnDz755BPDdSRJ wrBhwxhfTVEUXTmjWbNmITMzE/Pnzze0KbmlKDcAUwMMAOZP/m+8VFSMXnF6r7EGErWWvAKuKiBLGuQW U+ebc02oOXuB8cW8mZGDcc3Nt+OvnCq/iFsHDELP67thh+UeJji0GRj0sGGzdKIMOfMX4ZqYnl5PXov9 EiyF42LMAw6HA7Nnz2aeavJy8guyoUOHYvfu3bq2YeaB5jOkVVXFxx9/rLvWgQMHkJKSguXLl3dZaTYr OJ1OpKSkMI/d6tWrsWLFCmRmZhoMMEAvJ2TWB9u7QLqY+I83wggUxhJT2EWexb8D/KXr0j5mMXRqrGSk REVFhYTgrNUgWFdXxzxB5K0UC3mnpqaisrLScE5N0/Diiy/ipptuwrhx41BWVsYI4PwEGiynoKMyVuma YpvkCbVDhw7VFamWZRmzZ882GCR2ux3Lli1jWlOkxM4bnlVVVUy0l4eZYj/BLIzGZ+QFY7RTHUjiuwVK yvV4PHjxxRcBmBcoB1r5NaJ8hZWukKiEz5+Hwt7i9w0kTV5UAicJDdL3ovDQL3/5S4N4rt1uR0ZGBqqr q3VZdLRIHDBgAI4dO8bK0+zfv58tpu6//35s2bKFtaXFixcjLS0NvXv31snvyLKMoSmp2O3nnbvdLlTt 34tr+ybotqsq4NE02NFaS1LVJOZtamh0s6xI3lvmK4vyzhuuxh9HT8LuvU7sOOLnxgj7XgOcGyEl3A9N aRWNTZH/hvFzJ2NA0hDs37OLvbsvvvgCkydPDorCIS5e2zNG8sdHRUXpuItHjhxh1/Z4PNi1a5cuOYdA IsWUGVtYWKj7XTS2KaljypQpsNlspnUnu8pgKSoq0vF6PR4PsrOzcerUKbz88ssGke2ZM2ey92dGz6Fk BKBjpHM6EpeMMOjdtr7gdrtDyoL2hUBJpv5KRPBep66CVSFrIl3yav8kPKkoCiZMmMCI2VaTuqqqmDJl Cgu70jYegRi1PDpi1cVfs76+XsfhmjNnDqKionSrVgqXDRs2zLQ9u1wuZGVlsUk9PDwcS5Yswa5du3T8 K7N35M8DLLaPthrtVMcOAKuRJ4Ky+sQJhdL0rZ4BAEpKSlgW6IQJE3wmnPCLEfH6QGvI48KFC8jNzcWb b76p8+JRaMTXRF5cXMy+k6qqrExWSUmJ7nsDQO/evTF37lxkZmYyrwVxN4k2QN+Q3gGF2CVJYlml9Dx8 NYjx48fjgw8+wLlz5+B0OrHnve3ALT83fYcEm82OPol36GpKekGGFRlgXqNPRYuXDGDkfVb6yE+5o+yh sSjbuRsLsv8bmPZ/Pu+L4Xw9oKmQ12TAM7mVCzQk5ccYkNAqLUThyNOnT7eJwgG0f9ElHj927FhdCD4h IUFXQ5T+ke4hGWzUJxobGzFlypSAvOYAdN52Pqs4FKIfPFRVxYsvvmhY9J3HJAAAIABJREFUkM6ZM0cX raHkOqfTiezsbKxbtw4ulwuSJBkEbkMBl4wweDuY2SQdFxeHTz/9lIVAQqlBEqxWYIGuzMSJIdTqRvoq ZE2giVFRFCxZssR0YqUwFGBcEdKERXC5XIZBOBhDNFjPmRXomk6nE4sXL2baTmlpaQBaOSLjx4/H8ePH sXv3bp1XTAQ/eJHnizxD5Alav369Qbh1yJAhXcIb0TQNKSkpuPrqq1kojRYKVVVVrAYegYqy85USXnnl FRw/fpztQ0Z8fn4+IiIiLCdMMu7FthIfH4/09HSsWbOGbSspKcFPf/pTvP766yxzkQqk8+cX24WYqUqG 0RtvvGG4n9OnTxu4ikVFRTrOJu/t5b81yYYkJibqiMypqaloampCr1690KtXL+zatct7/5J/j//clZtw ee9bgaoPdduvjLDDSxNrlarwaBokCahtaGq5Ny9nzNPyu/ef9TU1FdjzdjHczc1Awc+BzD+x335x1w34 2/4dKGm+WX9QC5Ffa/wOiqbC0/K3qmk4e74ZV3ULA6RWPljv3r3bTOFo76KLP76pqQkbN25sfYyWaERe Xh6ys7PZd1UUBQ888ACr6lBQUKA7xpdDwWwhwxvyYlZxV8wBolAyf598dYhZs2bhyJEjhgU6aeaJmcTb tm0LCWkpHpeMMHg72PLly3WrB0VR2KBnRQ7saojkbfL8AIHH9PmJQVEUVFZWoqamJmSelfdImIXFystb 1f7dbjeqqqoQGxurO4foVXrppZcMGa9iqJmXPiAEanQE6znzBz5t3ePxGLJAAwX/nLIs6wj09L3Lysrw 2GOP6bLvGhsbDeeyWv23xytglo28Z88eTJo0yWBcL1y40PDNoqKiWCYkoaqqSmeEEXxlRALebzhhwgSs WrVKt/2DDz4AAPzoRz/C6dOn2fZXX31Vdz80IYg8HbN2IRpGoueTwGscmYVKrUBGNF2PSkBR9hmBDJEm t2og0ovoc/tAnD1vlEk4VX0IN98+CJomM/K+prWS9WVJYmFIsru+b3bjqTc+NJyLoMit5XVw7luvon94 NwDecz766KMo2VClP0iSW6gFdsg2GdSkboruhq/PNSEq0s6R8iX06tWLhejp3YiwWoiZLbqCWaDwx1My BYGoEUVFRQYO2JYtW1jokedlzpo1iy3azHD99dcjISFBVxcVgGFs7crx3+FwYMmSJZg2bRp7DvJiUz1g s4oYkiShvr4ev/3tb01likIxmnXJCGsBuflzc3OxdetWaJqGqVOnYuDAgcjIyOjyVF6zTs2voDweD/Lz 87F+/fqAYvr8+fhSFtQx+XqEXQnRSLzxxht9/k6lY8LCwtj981lzixcvNuVG8JAkSScCCgQfcuioEK7T 6cTq1avZ36qqoqKiwu8ETFlw/D7ic5KwJ99GHA4Hnn32WV3dwYiICEMWFR/y5MsHtcUrwGdB/c///I/O oPF4PFi1ahXCw8N17fHYsWMBGc7p6elYu3Yt00Z68MEHdV41X15KM6kSVVWRm5uLmpoa3Xaz7FtRb0+s cwlAF16sr6/HvHnzMG7cOKSkpBi8mjQhW4VKCVFRUTrJij179sDpdOoU9XldPUKvXr1QVlaGjVv+iqXm GtUMP7g8HGfPGye5p2fNwHO5L2OYYygLPUqaBlmTvPphEpi0hTckqaHm7AXUmRh07LllGXePeQQ7t7wG t8ul85pdf1UkZLN6t03n0C8hGdfd2Bc39/bg0+8V9PzmKML/EQbp+luZsj+5wr744guD5mCg/deMFxns QoQ80t27d8fixYsZpWLZsmVwOBwGeQUKSTY1NaGurk5nQMbHx+Oll15i+5KuIOH06dOG9tsRSWcd7Rkn vi/g7U9JSUk4evQotm7daqiIQQaYqqp4+eWXLRfZmqbh2LFj7b63jsQlI4yDw+FAcnIytmzZwngalZWV zM3fVYaYlQGQmpqqE+ikTgn4jumbnS82Nla3cgiVDBI+e3XdunVYvXq1LsWY/72iooJ5PZqamjBjxgxk ZGToVks8rPhFZu8sNzeXhek6890UFRUZ7s/Ms8Ojd+/eiI2Nxf79+xmxXwTJFJjVhszMzMSpU6eYPlVF RQXuvvtunREkZl6RARRsKJbI+GbaZDyIEO9wOPDLX/4SGzZs0P1OhrPZRDBhwgQArZ7sQCeLuro6Uy+p mG0rtiNZltlYQZ49f1636upq/PrXvwYAvPPOO8jJycHevXtZnxQzOPlCzDzsdju+++473TZN01BUVIQ1 a9aw81nV3XQ4HBg0eAgu3/4xFr73Kazwj3PNpiFE109exgeVTgx1OBjXS9PIaPDuo2p6GQtR5kKEJGmI SxyMBevewJH9e/BmeDec9wAFj9yOW2OuwBf1Qt3T8jXAsffwiU3ByaMHsXPLa4AEqB4PXreH4TcrN+G6 O4cCABRJgkfV/HLC/IE3rq1q2ppBjGaQJ4wyjclQNlsQAN7FFi/J8t577+HWW2/VjRkOhwNnzpzRlewS 280DDzzQbgOsozMqxbFk4MCBOHjwIFv4Aa3zHABdFjn1R8oU571+GzZsQEpKSpc7VggdqID3/wesCh+L mSadCTPvAkGcIFRVRWJios8SHPz5SGcpOjraULrHzLPQFXA4HMxItCo9sX79eoNxUllZiaysLFy4cMHw TRVFweTJkzFmzBjd9v79+xs8gAUFBbpOTEr1oQAz8vrp06dRUVEBVVXx8MMPM8I6f4zNZmPCn2ZtJCpK X3RZfOekuQXoyweRUcyfly+RJaK8vDxg9W/SNTLjTFEYgsoJpaSkoH///hg+fDgz3AkOR2DlhVJTUw3v jrZTCRmbzYbHH3/coNsGeI0+KpvkzyAtLi7W/f3GG29g1qxZsNvtrNwUn8E5fvx4ZGZmYtSoUawN2Gw2 PPDAA6Ztnb8v2mZ1P2E2GRE231PDT1+twgW3OfG725VXcQZYqxQFZUWybZq3yLd/I0yCDG+R70cmPoVn 743DmP7Xos813fD5t997i5vHcc9cvcPL8fV4oKoeuN0uuF0uqB4PXK5mHD/kxJnvGiEBsMkSJKk1FEvl wdoz9pHx4Ou7U5/Izc1FY2OjrlwVcVQ3b97MymJRVjMPm82GmTNn4uWXX9aVsDp69Khuv2+++QZPP/20 4Z3yOHPmTLtK1Pmao9oKcSxJTEzULfxonps0aRLTtQRa2zvgfc6+ffsazi32t67EJU+YAKvVb1VVFWuk nU1YtPIulJeXG7wkNCH6CofxAwyVN6FjeaFTkQjclSCRQk3TDLyLmpoaS0+KWahRURQmB+B0OvH2228z 0vuaNWsMzysa4DfffHOnvZP09HSfZUruuusu7Nq1y9Tb5Xa7kZycjJycHBQVFaG2thbbtm1jWlG+vi29 b2pf4mRChgjPJczOzjaIw/pbIZOh488TBoDpmY0dO1a3qge83/mll17SrYZPnDjBfm+rd6O8vBwzZsxg 3nBZlnWyLdHR0Zg6darh/dfW1gbFDRw3bhzeeecd9vepU6eQl5fHyNe8F4/eJ1/aCPBOTDExMbr3SSGt +Ph4rF+/Ho2NjZAkCTNnzjRwwoDWkNLX1wzw+34aXebh0P/NW4iBt9+GvrcnMekJlfOKqZrmLYekUV1K 30aY0hJqkuA1mK6/OhI3XN0NGloMNAm4wiYB33wO9LgBkiLj1kHDUL2vJZyraVBsdmiaCpvNjtsGOxDW soBQWv6XOGEUrm3P2Ofvu1vJn5CEAvV1vibkzp07deeIi4vD8OHD0dDQ4LdE26effor4+Hjk5+ejsLAQ PXv2xOjRozF9+nTmUTp48CBSU1MZrzjY5w7WA+4PvLeaeJ7lXJa7JEkoLi5GfHw8YmNjde/xuuuuY3xN 4oCJGDduXLvuryNxyQhrAZ9ebjYp8IToQFyuHRkft+rUqamphhWN3W5nBopZQgGJsYokT8CbQcinQYdK SJLKU5AC+r333ovq6mrG4VAUBTabjaXjDxs2DHv27DEYqGlpaUhOTta9Q5qIfH2rnj176v7u16/fxXtY AQ6HAzt37kRRURH27duHI0f0QklXX301bDabqZEWFhbG5BIo24n4jr4IqtRGKGRpltbNh4FFLiFPovfH EaP3X1RUhMOHD+PAgQMGj2y3bt10qv233nornnjiCR13jE/RN0OgdVXN3j8ViRdlWwBvnVKz627evBkF BQXIzMzUXcPq2hQaWbRoEU6dOsX63+bNm3VesHI/cjqU2WbW93kjY+nSpSzLlsBrZeG6OOCRBT7fze+2 nzTd7lZVVO3bg5vjB3k5YWiRooBXM0wDoEKDW1W9YUk/RpiqAXYZkCRAliQm/Ap4/z75wSEUvfg74PPT QM84oPkCPqzUK50Nf+gxXPPDH6F/kgO3JAxGmNJCyZdaTUBec7C9Y5+vRbAVp+/WW29FdXV167O18ArF RZiiKPjss89w8uRJU0+4CJfLhRkzZiAvLw/79+9n2+Pj4w0i1cQrbk+li/bOeVYLt+joaMZ11TQN7777 LsrLy3H//ffrFowi361nz56IjIxkC5A5c+aETCgSuGSEATB+9KVLl6KwsFCX8k0uzkBi/VZZi+1pmFad WpywnnzySVRXV+syPXmSPQ0AoqApP3gTud1XyKKzQLUJ+WLGJSUlOuFJwFteatu2bfB4PDhw4ABmz56t y4K02+2W+jD+SPQ5OTnYtm0b85Z1ZoozTdrdu3c3GGCKoiAmJkan/P7www+ztHVRkJTXgCOhT7OyJfwk Icsyzp8/b3pv1J74lbhYa9RMd87sPGZeHtK5ItV+8mLSOcz4fGZIS0tj374tfdNsguG9GVacu+zs7KDK X8XHx2PkyJH429/+ZvCG0FhjRZcAvPpxvjLb/BkZPC8K333r971aQbaH4ZaBd6DJrXqJ+BK8xlfLa9IA eFQvH8yjqvj0n+bti1D7XSNir+rmNcAkPdH6k6OH8PvJj3rlKwDgUycgy9CEd3R9v9swYtxPYZO957DJ kk6iAuh4b44V6DqiFMzRo0d14/LIkSNx4403Ij8/X7dfv3798PHHH1tq6ZmhsrLSwOt0OByYN2+eQYOs PdqGHbFgLyoq0tV0LSoqYpxg/pmpHW/evNnwHkg7MiwsDDk5OcjJyen0CFaguGSEwVwri1a/lPbLu/T9 pSLz5+OzFju6/EN5eblBuK62ttYg1CeKm/ITsdkkVFhYaFBp7yqUlxtLtwDQGR42m40ZI9QxGxoaMGzY MBaqM1OYDhTkjeqsTixmc4paN4TZs2cjLS1N1yZ5Q1MkCJMGnFWSA4HaCHlcrIp3074kkEug+w1Wd443 diorKw0p9OTtqq6uNtwjD7vdjpkzZ+LIkSMYN26cbtXb1r4pTjD+PFKAt43yk5kvryB5e0WPpqiLx9e/ lGUZDz30EM6fP294TrNxyczI4HWYeK0syX0BvoNc1rjj3jTcePsguDwq3KqGSLsCm8zxwjRAVb20/ndO /hPrDnxhea4BVwFXRNggS8BHRw/goHMP+iYMQe/bEvHlvxpx4pATHpNSVrKiQG0ZAyVJwt9Ofoitf1qG 25KGIn7gYLQEN1sO8P4PeT19yVRYIVjvKu9FJg+/GJqcN28eAG/b4Pv/Nddcg88//9xU91CsGCJqA5p5 ovPy8nRzhlUd1c6A0+nE2rVrdR5uUQ+QuJg0zohzld1ut9SLpNBkKBlil4wwWK+AeCFL+mhinUne08Bn LYaFhelWF1bZSO29b9KHoQwtKjbOQ5ZlHQ/M7LkIvCaVy+UyqIF39kpCfEYz2QWXy4Xu3bvrjEtRb8pM gDUYBLPKa8+7suKLmKGhoUE3oAPQ1Yo0a9e894rEIefNm2fQByorK/NZT5N/Lw8++KDOYKJ08bZUXKD9 nn32WdPfPR4Ppk2bhp07d7J75LlUgFe09YUXXjA93qxvtmXlL3qkzHikRA0Qry2OM6K3V0ReXp7OkCIu nmh0E6w8bmYePZqUgFaJiqKiInx9rhFvCvcxIbkX1lZaG0yEpB8/AFX18r00tIiyaqSe7/WINbpVKLKE v5317QWL+eAveOvrvbj2mmjkP/8sXM0u2Ox2zF25CX0HDMJtgx1Q7PZWTxgAaBr6DUjCyQ8OtVTSsGFn yWtQVQ+KbXb8cW0xbh+UjMhulyEyTEFkpB2XR9pZGN5MpsKsT/MUFrN5wBfoexBNgM7BL/rpHA899JCu f/Xv3x/PP/88O45vO8Sb5bmRBHEeIPByPFZ1VDsK/sbGcoHnbJbRTtpoK1eu1HkP+funBQklQLTlG3UW LhlhaF0NEGlRNK74rKTq6moUFhayNGIz9z4Ndrm5uazz8Gn8HYnx48ejtrYWZ86cwcGDB02J6KqqYsaM GQBg+lx8xxCxdetWFBQUYPr06ey4ztQPEycO0jriPQZUzuKhhx5CTEwMamtrDV6UjgytBlLo16weYCDg Q4HBgBdv5dXarbiE/jxdfKjCX3iGwp8EVVVhs9l0xkMwMJPl4I0cUpafO3cu5s2bh/fee083CYmZnTx4 o5XX8Aq2bYjZauRt/clPfoJPPvkEPXv2tOTRmXnOfX1vfpIMhHvjy+MWiEFMumqYOVa3/b3lvwMGT/R5 LAD06nsrI+ADaDHI1BYB11aVfFXzcrJ84b3Nr8Hj9kCSveOYpqpwu4ETh5yIS0jCLYmDMXnuH7H8OX32 349u6oufz3wGxw7txUcfVKHyvb8CANyuZpRvfR0DkpJxfVw8Lg+zIfaqSPS4PNxSWsLMqAVgGjoPdrEt fg/ywlHSUHl5OUaPHq1LHhKTX6qqqlidUTPji0DzABmXxBuura3V1VUU66h2FAKRsUgVZJdEPPzww8jJ yUFJSYmOnkF0obCwMCQmJhoMr/Z8o4uNLjHCFi9ejDVr1rAMrXXr1iEiIqIrbgWAt3E89dRTzL27efNm AEY+hrhipRIKZlpLDodec4xP4++oe+Y9JnzBV74T0n83NjZi0aJFzANADRHQCwvm5eXpXOOqqmLhwoUs bMHrNXUW+AHH4XCgoqLCoBOlqiojMd9777263yRJ0q0s24JAV718mIqvBxjotUVPjS+QdpBouPGLAjMp hkA9XYFM+IB5iRFN04Ju7/SOzXTQ7rrrLuzZs4fViKS+5nB4q13wiRu02LEylkUvREd5d1VVxRVXXIG8 vDzGY6HridfmkdqSISqWaAGM3jSrc4jnayu3ia/fKeL0yePAYP/nuLqbvVUVH15jq9GtIdLeQsxvkar4 9J/fo+wT323E7XJD01RA8/IBNUmCzW5H/yQHZEmCAuC7+m/RQv8HAMiKgrsfehT9E5Nw26DBeOV3Twtn bZH0kGXEXXs5uoV5p0Gr92Zm1AKt/GB+zG3rYpvC0SSkC+gXzEuXLjUNr1HGPt23rzGDn8/oeelb2+12 TJo0CYmJiez3jh7jfS0OeFgZYJIkYfv27cjJycGrr76q++2qq67CjTfeiObmZkyZMoUtimgc7ohvdLHQ 6UbYl19+iSVLluD48eOIjIzEY489hk2bNuHnP/95Z98KQ7mgVcQLvomdUYzbL1u2zLIIMB9Ks3IFBwN+ UhEnXmp0/fr1w8mTJw0rIk3TDGJ9lDnHK59XVVUxUiMdx5dnAfyLhV5MFBQUGAwwAg0yMTExjDMAeL+T qA4eDETCOO/9FMvSpKbq65DyhZIDAW8g7dixgxnWV111Fb79Vk+WJiNH9GyZ1dc0u06gnq6amhpTg4I/ 15IlS3S8Ek3Tgmrv/Ds2Q69evVi7FCca8jTy8gIA/IYf2kMkTk9PZ94HHgUFBToOS2FhITIyMnyS/6ur qy1DkW0JDQVqPJuhtrbW+scAOaJzt1Zj4ZjbEWbzFgYivTDeOwYAz5R+7Pdcmqaya/9PxhRcfkV39B6Q jN63DoTcUs7oiquuBi9zMeZnkxE3IKlF1gJIfehRr0fN5Q1ljkx7DABaCPqtXFGr92ZlnImlhmgMthIN toK4uG9qakJhYaGOnF5XV6crSg3oE28CIegTf5bmD37Oo2tfzJBdIIsDMRzJgyfqf/XVV7rfzp49q0uk A8AWbESPoG8EAKWlpSGTIdklnjC3240LFy7Abrfj/PnzBgmAzgatRPkJgLJTeK6MaFQtW7bM54ekMGdH aM+IrtynnnqKTfbU+W02Gz777DP2t8if4kEK4/X19ToPyvHjx/2Gwr755pug77+j4Etkj8/0BMAmSY/H Y+A9BQPeUKWBjDL1zMrSLF++HNnZ2Wx/qyxEK5CBRAOl3W7HxIkTdfUERW8Qr1tlJuxodR1/ekb8atlX Kau6ujoDl2P69OkBt3d+lWw2oezfv58NomaGrZj5V1xcHNCqu61wOBxYtWqVrrwTYOSwuFwurFq1CmvW rDENTRcUFCArK8vUg0Ghp7beX4d7qz3+tdwA4OsLGnZ+VoeRfa6BJLUQpyHBowGKBpxr9uBv317wI0yh hyzLuPyK7vjZlJn457kmL6dM8hpS5+rPQpK9GZGSLOOyK7q3yFl4JSziBiTht/l/wUdV+5CQPBS3Jg5u yZKUDOFQ8b1RyO7ee+/V6bUB0NWjpb6pqioTDQ7UmBEND1VVcejQIdYmyHAS+yNfmkyMgCiKgtmzZ6O8 vJyVHeMTfMQ5jy8DZBaO7QiPcSCLA7O5WJZllglNYVMeUVFR+Ne//mV6zZkzZ6KhoQG1tbXYunUre88l JSVMQqar0faUsTbiuuuuw5w5cxAbG4sf/vCHuPLKKzFq1KjOvg0diKCalpYGRVGYQrU4aVMj+sMf/oCK ioqAPqBZWnhbwE9STU1NLGtOkiQ88cQT+MMf/oAJEybA7Xaz6915551sJSDCZrMhOjoaL7/8sm777t27 YbPZWDah2bGdqZPFo6CgAF98YU0MjouLYwNeeno6IiIimKH67rvvMvXpYMGTsDVNw8yZMzF//nz2vnmC O52f94Tl5+e36do0sNKKNT8/H8nJyUhLS8POnTsNbXPu3Lksg3f16tUBXZOOs+IW8atlX+2Xr1UYyP4i aJWsKIpO8ZowduxYnyrk/PFhYWEYN25cwGr1bUV8fLzpvZrB7XZj2rRpuu9BXg3RAOvdu7fpN+4MiPw+ QvK5o/hBN2P1ACuoLR5cQMJHRw/ijcKl+PBwJVRNg9ujYu7bHwV1X7KiYJDjTq9hJbdqfEmShAHJQ2EP C4OsKLDbwxCfPLRFzoLKcwO3JCRh3MSn0D9xMOyKhDCb7NUIs7AE6dsMHz4cq1atQklJCRO1JlDfiYqK 0lWPOHLkiGn40gqpLRnGPMhY4InyYn+ksjxmfYaO379/P+677z62WOcXMOXl5cjKykJWVhbef/990woP tPh/9tln2zx+mr0zq3bN31dKSgozNHkKUGJiIqtuAHjHHqswbENDA9avX4+tW7caFkihoprf6Z6ws2fP YvPmzfj8888RFRWFRx99FH/+85/x05/+VLcfufWBzvG8OBwOXRYgheroN36/YAbG9vAzrM4jSZJOR+j1 119nispr165lHoP9+/dj2bJlKC0t1WVNSpKEBx54AFVVVYaGqaoqRo8ejZiYGBw/fhyNjY3o06cPNm7c yNy7namTRSgoKDB4HUSkpKTouGOBZvj5Ay8LIEkSGhoa8MILL8DpdOoI8URw7927t+54M26hr9UgZWkR R0jTNOTm5iI/P18ntmiGQHkXgUAsZeUruUHUMAPMa3CKEAvJU9+bMWOGTlzxhRdeQFpamuV7M1tlU2Hs 9q7grSBOrr1798ZXX31lyc1xu906j6xIbyAkJCQgOTm5w+83EFjVKDxS9Eekz34O65dlwJXhv4TbR//4 Hv97qAq3XgmcXPg4PM1NeGNNHl5YV4xr+90e2M2sbJ0TVI8HEryeLUX2/iPdsP6Jg5H5q/nYtf0tJP14 NOIGJDEvmF2R0OxRIatay/FeBX5ZkmAVwCPDQ+RlWvUnipDQGD9u3LiAwvwE8p6bjW9kdNB1eC9ReHg4 k2KoqakxhMdzc3Nx0003Wc5BZnOZ2IeCqYPZXvBjwcqVK7Fw4ULs2bPHIMhMElKLFi0yVM4QUVtba+lh DxXV/E43wt59913ccMMN6NGjBwDvCnfv3r0GIywzM5N5mpKSkjr1HmtqavDcc88Zwkw8AnXRtoefIZ6H NGx69Oih40XR6iY6Oho/+MEP8Pe//x2Ad9CvqqrCW2+9ZeCHbdmyBTabzZIQvHbtWtbZjx49ipUrV1py 36zQkbIW/lYtZqGbYHhPvpDakrFDk2thYSELS5gZembeQ3FlaRWq8FXQuri42K/3taOMfgAGYr0v0q9Y diclJQXPP/+8z+9u9i6oRImZAeVvAST+flFCchz4d60oCu677z50794dixcvNq1goGka3nnnHZSVlWHM mDEYPXq0QR8KALZs2YItW7awDNfO9IZZJVM0NzXh9Ecf4rdLCvHsUdNddDjwhdczeuxfAKZsAl5+CG4X cGDvLtzfx7cRJpWvgfbxbuBCA9umahoO79+D25OSEa7IuCCpzCj76MhBrG6RrzhxeD/63NIf8YOSEaZ4 jbVudgUuVYPcsj9aQpVffPwhtNoI5llLSkqC0+nExIkTDUKqgDd6YEYtEOkAZCT4Gy/5qiaJiYmmbUGs y1peXm5ZCYUfswmFhYXIy8tjWfS8p5Mfn6urq1lmJnHPKMOwMwRszcYC6l88FUSSJBw7dgyvv/66gUcp yzKSkpJY1Q1ZlhETE6O7/6eeespUP7Ar0elGWGxsLPbt24fz588jMjISZWVlnW5kmYE6xLp163QrWTPr P1jV7Y6YDHgNGxGKoqC+vh6//vWv2TYiZwNGngptc7vdSEpKQs+ePVlNQbvdjpiYGN0k0tTUhOLi4qA4 VYGkIwcDcZIXkZGRAcArUCpO3O01gh0OB+6//34me+FyuViGqJmh94tf/ILJaCiKgkmTJrH24W9lKYYc eCQkJAR0rx1VPkQk1muaZrkSjo+Ph91uZxwwrrYRAAAgAElEQVQ2fwYYYPTa8RmF6enpzCALVdC75sVv KXFDhCixUVJSgtLSUtxyyy2GRBc6vitS6WnBYUgU0DSUvbkBf/u4Ghj1e+OBWxcCY6y/l6wosNns6D/I ga3HfJD/d62HdniLYbPdHoYkxzBI8BYYJ+V8SZLwwYG9cDW7Wop1A8cOOpE4+A5G3Lcp3gLgaFHKp/+7 yubG+fPfs2s4nU6kpKQYnj0hIQG9e/dGaWmppcAxENjinb+WGb/L+Nz67FiruYQMtMcff1yXSBUREaHL opdlGevXr0deXp5uPqHw5TvvvINTp05h6dKluoz5YBfgwcJsLIiNjWXXPnbsGDZu3Ai3221IzOIL2Gdk ZKC6uprNzQA65f7bg043woYMGYJHHnkEAwcOhM1mQ2JiYpdbpFbuZzPpCaDzFPGtrsmDCvSKnqLLLrsM I0aMQGJioq4mJC9loaoqDhw4AEVRMGvWLERFRbFnFVdVVqrpfPiWb+gdGRYDvJN8SkoKdu/ebZjkFEVB YmKipdHXEUawyJXhs8iCCYX581QRP8QsW86X/hWPjvIAicXsJUmyXAnzoTW32x2QjInoSeJr5PlKAggl UFsnbqAsy6YlVMwyvpqbm9G3b1/LbOOuKBvmcBjFdwmaquKTD48AAoV3yi0y9h/ujkM+zvtI1mzcljQM N98+CM/8+bD1jlIrTVlWFAy8ayR+cO21GPvfj2PwEAeaW0ohUWixm13GoDuGYUOYHS4XYLPZET94KMJt UktIEoyA7w1PkgFn5LvSdxRx5MgR9O7dm31jcTwzmz/8jXniYov4XaL6fTDZsQ6HA6+++iqGDx/OFkP9 +/dn0i5Aq3wNn7gi4o033tCN3XwdWLpOR4OMfzIU+YSnvLw8vPbaa6aLG+JwU9JBVVUV8vLyUFpayjQu u8KjHAy6JDvyueeew3PPPdcVlzZFeUv2m2iAkTCcGQcgUNVtq0LawUK8JqFfv35MfoH3FH333XdstU28 ATKUoqOjUVxczCQQ3G43Fi9erCMCU/3Mc+fO4aOPPmISFjynRdQq40VC+U7V3jIYvIYOkTH5skUrVqxA XV3dReUuiFyZbdu26cISvOHDf3MR/jxVvibBzta2EQ1CX6WfaF/iI/IhWyvw74I4LYSLzT/pKDidTtTU 1OjELgcPHoyKigq2T3x8vClnTtM0jB49GqNHjzalGcycObNrn//VOcDjL/rd7R8fHUFUdA+f+0yd+TS+ amjynxEpe70Xkixjwq8WYOS4JxBzRTi6hSmI/2F3aJqGvafP6oyqAUnJeLnoDTj37ELcwDsQl5CEMEWG prUU/JY0xh8LU2SomgbZhBCWmppqWvkAAD7++GPD4on6+eHDhw3jsizLPsc8kd9lt9vRp08fnUEuy3LQ 2bEOh77EGgBWcxForb9KvDUzPcKxY8fqPGHR0dEdGtWwAq/jRUYVRWGsMvaHDRvGeGMulwv5+fmw2+3M QQJ0jUc5GFxSzIe3Q4jxeE3TsG3bNlMSOh+G4Ffv4iQpupwLCwvbnPFkdc3jx49j2LBhiIuLwxNPPIH9 +/fryIq8xgyP+Ph4ndI4770QieEEUV2dvF1mIqGpqanMQHW73aiurg7quXkPG68/ZcaZICPUqiRMR4Tm RK+Q2+02rIbpfnnhXzOPjj9PlVWGWqDSEx0JfoD2pXlmFrKdMWOGX9V8ehcip+Vi8k86Ck6nE3fffTea m5ths9lY2LmoqEhnhFll9BLfh7Ja582bx9qYP+X/iwWn04m3337b+0ftyYCOKf5TPpTvvgaeesxyn+Er nPjzEwksY9ESLdfUNA2vrcjFntI38Itfz0NS8h0AvEYEkettCmU/ShiQNARNbhWH9u1BmE3GXcOGQYXm 9XhBQrhNgcujeo03SJb3YbPZTOkA/fr1Q2Fhoc64seJuAt6+4k9bj/hdtbW1KC0txYkTJ3T7BFqc2+zc /Lgk8oFJJJ3mE77EmyRJuOmmm3QLxY6OavCgcbOmpoYZXqJcR0JCgqnBKEkSrr76ap3CPhlj4n7R0dGM 4xZqoclOl6gIRTgcDsyaNcuwneoNiigoKMC8efPQvXt3ts3j8WD69Om6FF7R5Uxcovbc58qVKxn/iaBp Go4fP44NGzZgyJAhjAsGWE9m9MzU0TVNw7p161in4FXfecNHNLT4VGFeJJR37VO9P3/pzZQW/l//9V+4 ++678eyzzxqKkYvgeUplZWWYP38+W6mRp+6ZZ55BSkoKy7ZtC8jTw1+3vr6e3TN/v/zATBUGgkF6erqp Ho5PIc2LgPLycsMAXllZyb4jkXfpb9F4rKysDDit3eFwYOnSpUyC498hFFlUVMQ86NTPHQ6HblwAzMnu VAMvOjqaSSG88847zAALDw/vEiPUwEk87SN02ALN44Lbbc5j5OHxaPjqX8YkIIZX57ReT9Pw3dk6nDi8 H1MeexDVhw+w3SRICLMpsMsy84gdO3wAcyc8go3LcvGbjEfx4eFKlgEpSxIibLKXD9YSioy79nLTZzfz uMiybFiM++JuAt5xMhBpmtjYWAAwzailRU97YBZi5evopqenG/p4VlYWioqKmKFC43xHy73w8hdr1qyx fPdRUVEoKyvDLbfcovtN0zSD9IQsy7Db7bDb9XIq06dPx29+8xtMnjwZv/nNbzpEbqOjcMkTBm9jWLp0 qWG7WckQXipBJIqL4TrysPkyItoCcZDnsXHjRqxcuZJ5TSgkJHK3oqOjDc/MG4m+VmHEVTHLCuJXGMEo x1tlBfpbDfKTlehhEo3JYEsI8XA4HJg4cSJWrVrFti1atIjptfnKHFy3bl1QoeiSkhJTbkppaWlQoq/t RWpL6j0fdi8pKcGWLVswZ84cXciirKwM6enpOi8tEFgogMI6hYWFjAfSFTIoHQWz0KMISZIwePBgVpOV bz9JSUltrrvZXhhCcm8857/Ao4SA1PT/ca4JT7/lQx/s+7Omm1XVg7f+byN+/vA93stJQIRNhp08YRJQ tX9PKznfBRzatwfxg5IRaVfwfbOnRR3fu78sgZUq4kEUCnG8njNnDgBjeTdRVFSEP5oKT+UwQ0cYPGZR Hp5rKC606L5FnnNHJfvw4D1sZuO8uBg5edLomfV4POzZZFnGyJEjMW7cOBQWFrIsST40Sc8XSiHKS54w tE7WPFJSUkxDh/6kEnhRUIfDgRUrVkBRFIOae3vgb5Cvq6vDypUrsXLlSjgcDhQUFGD48OFsJfDMM89g 6tSpBh6cqqpYs2YNVq9e7fP8/DEOh1d8LzMzUyfC53B4tW/sdntAK3uzlaUkSbDb7ZaCmN27d/fJT6AB iNDeleV3332n+9vM9W0GCl0GAqfTiRdfNOfhBHOejgANvvfcc49uu6qqWLRoEZqamgwhCtFLa1Wnjbxo BQUFGDFiBPLz89m7bIv3sCtA4pZi3w5Ef0hVVVRUVBj6IAAMHDiwyyYHh8PBjA4vNEAzNxIIP7zu+oDO 7dMAA3xe56rIVs8GqeF7cxy9/z3ojmGwh9lbBFvtGHTHMMgScNsPu7NMSrsiQwLQ80rrOsXityBPjBiS q6urQzkn8C3CZrP59ByJVA4RycnJHeIN5sdhqvbB19ElbpoIsc4kjfNiUlZ2djays7Pb5FXiPWyiEUYV a2h8t/JSAt5vpCgKwsPDMW7cOMyYMQMHDx70OS53RdKLFS55wmBcLciyjPvuu8+0A5hJJZCw4sGDBw2i oJT5SRosHTG4JiQkWMo1SJKkCxmJMX8AuqKmIsgD48sDJfKhrBDMs5sRVR944AEmGstzbAhZWVl++UZU 3Nnj8bQrxON0OrFx40bL3202Gx588EGUlpbC7XazgYU8O4Fe12xlarfboapql/CkHA6HaZunsJk40aSn p2PNmjW6diSG48xqcYrP3Nmh17aAJgfyBNOElZmZiQ0bNpi2WV+gRUdHLNTagxdeeAHnmtxY8crL/ncG UPtljfc//poH3Dej7Re2MMJsdjsmPPlz9nerPEWrk+72pGS88uc3cci5G4Mcd2JAUjJ6RXVr2V+CBA2K LCHcJuO6KyNNr2O1EIyOjkZ8fLyBc+pwtAp887VeZVnGxIkTERsbq2sXdI3U1FRGbxC9brRgba8nVIx8 WNU4pjY8ceJEXVIArwxgxqsNpqSZFWiRl5uba5qIlJCQwM4nCkcTFEVhiVk8f0002EjORNM0pigQCl4w 4JIRBiC4yTo+Pt7g3k1NTUVDQwOOHj2qm3SdTidyc3OxdetWaJqGXbt2tTkcRrAKnZLHhzSItm7dqhMY NYPVdpoMRGV+2j9QY4DXNvP37DxRFQATvbQK9aWkpOCFF17wew+ZmZkdopzuayUGeN9ZTk4Oy3QbN25c m66bmpqKiIgInVq8L6X4zoCVgOeYMWOQnJysuy/iGlItPbNC3rxXgQw58d1aJSeEGui5xVDVvn37gjqP JEm455572lzftKNxVRBJAax3Hn+vnUaYsZ8P+fF9mPcbvQfG6wFr3Tc2qhtq6s8jfmAy+icORpjiHQuv vSIcAJB43ZXYX3MW0GCpkg+YT/RU87esrIyJZfMLyoKCAhQXFyMhIQE7d+5Ec3OzzpDm9ST5RVlZWRkm TJigU7mPi4vD8OHD25RFzxtKdF2zrHWrJIE1a9YwaQtSBujbty9mzJjBKqvwmZGiwUre62Dv2+Fw4Pz5 84btVCXkpptuQmZmpiExCvDOeStWrDBIXInGLW/YhhopH7hkhDEEOlmbTcYvvfQSAOiEOQFj9kxHxKHN Qqc2mw1Dhw7VrbwpVi5mifhy0ZLxNWHCBCQmJqKqqgr79u3DBx98wFYQY8aMMZXtAIyZiEVFRYxPFEhW DZ8pZyaaSJBlGc8//7zleazO2x4QX8TqnlwuF371q1+xQrnvvfceli9fzlZndB+B3KvIswPQpcKlVtIY ffv2RXR0NObNm8cUqJ1OJ44cOaLL8qurq9O1DQpDNDU1QZZlPPbYY9i0aRMbOEPBGxQMxFBVcXGxbhK4 /PLLce7cOcNxfH8MCwsLGQMMAGJ7XmvYdtc99+OH19+I15c/Dkx91bvx493Av77ukGtKsmKQsDj7zddo 9ujH20G9orCvRaZCkWRERdrxRb0ESdIgaV7vmI2jIcgtJY5UaD4lMswmegBobGxEbm4utm/frltQVldX 6/jBdCx9e75d8LVniTvco0cP3fU++ugjnD59Oui2Lwpj33vvvbpMwmBLthHhXfTS8ecQIxdA8NxXgi8h bqoSIl6PPGA05vDzDm/cEk8slPqWiEtGGIdAJmszNzJv7MTGxsLh8Cqji65tM69AoKCGVl9frzMC09LS MHr0aEyZMsVwjCRJzNNw//33Y9u2bT4zemglDsBUvFbTNBZ6FZXpxYEgLy8Pa9euZcf7083h4c/rNGfO nE7vUOQt9ZWtyRvBbrcbkydPhizL0DQNERERAenr8GEE8iJeTG2eQGAljbFo0SL2fXmlbeI5Ufurr683 6Aw99dRTWLRoEdxuNzZt2qQThM3IyLjoz9qRJbXIqDSrHQjArwEGAKNHjw6pSYKvlwpJwsixP8XvX8zD eZcHDQ0N+CvtuC234y6qGvvVyeoq/PfD9+M9of0TLwzwKugP6hWF/X87C1XyaoCZrTW9shTWvjDyQosl izRNw+bNm9l/kzEihtB4+Zrc3FxWlkrTNNhsNhZZUFXV1OjQNA2NjY1BL9R5Y6+pqYlFXthzy7Lf6EW5 kEVpNsaJ55gwYQIqKipw4sQJJkXUFidDZmYmTp06hQ0bNuDLL7/U/UblDcVICRl7vIYkefvS09Oxfv16 1h9D2QADLhlhQcPhcGD27NlsAlIUhXlI+EZaX19vOFbTNEyfPj3okCSvRyRytc6cOYPS0lLTTqMoCuNV AXqB0+uvv15X3kJRFNx4440AWju1WdZMZWWlaWkOM28A36l9GVUiUluy8szqt6WlpQUUhrwYyMzMRFVV lS5D0h/ouS9cuODXXW/GlWpP4fGLDbF9kNI2zzf0eDx48cUXdaLGxFPky/jwpUcutheso0tqmWWPxcfH o6ioSCdAy8NfMkdXw2tYhqPZ1QybzY7UMY9AliTYJAk39Y8HGozHKDYb2pwHvumX0M4bx0wAcJm0f9L/ uixcJMV7g5XXCeR7WfKGTX35wnxxlPhFgiRJqK+vNyTq8Ni8eTMbl2VZxtKlS5kWHNWZNUNbFur8IoAv m0VhRZEyYHUO3tMkLhLS0tJYBEQs2xcWFhY095UHUWwaGxsNv33zzTeGwt6EgoICZGdnG8p8zZ0796Jk c14sXMqODBJOpxN5eXk6D8+SJUt0+lQFBQXIzc01HWj5jJNAwesRiZ33wIED2Lp1q+lxLpcLW7ZsQX5+ PgoLC1lJFUVRTAUkV69ejREjRrCirWblVzZv3mzIigO8IStZltmqa9y4cbrMRNLzCgQOh7dYuZh1FB4e 3uXSBaJyfjAoLCz0mUUkhi8URelwbZ62ID093TJDlcfYsWNZthN5AKjNUl8g/TOxHdPvLpcL1dXVHfwE eogLhmD7oxnE7DGHw8E0oALBt99+2+576Eg4HA4UvbEVj0/Nwc+ffg7HDzlRfagSsizhs+Mm30eSMGrs 422/4JlWoVJJltE3PhH2lrZkN2n/sgT0uDwMfa65TLdNloCY7uH4QQsfjLs9Sw8ZDyLb5+fnIy4uzvA7 eXxyc3Px0UfW2Z4UdqSFVF1dHRwOb53Z8PBwn4lPwYoyk/E4f/58LF++HOHh4VAUBREREcjJyTFkNVqd o5zL9uTnLrvdrqOg8P3H4/HgySef1M1/wSI3NxcXLlwwnS8TEhKYlhiv7eV0OjF16lSD9AaJsgJgVJCC ggKdnmGo4ZInLEiIhESXy4UNGzZg586dbJsvGYtgwnKBgCY5Ch2QoSUqzLtcLl3JH3ESpP0p/ZpWEvX1 9Thy5Ai6detmcHNTOSIi4NOqLy8vj7mYiaCtqqqpd9AKIhn8Rz/6EZ599tkuX9VYkdQDAS8xYbZKE8Na oUQkNdNP4kGTyvjx4wHAMqN1wIABSExMtKyPCXiN1YtZT1Z8zxfLwLUKb5lhz549naoBFwhuS0zG53UX 8OzER+F2uVC8+hXM/O0f8W7JJmDaI7p9bYoNN1t4yIKFzWZD1tz5aPaoqKk+gHt+/GPDe7nh6stwRbhN Z8yQOKuZoRWmKJAl4JrLwow/CnA6naiqqsJnn33mcz8KufvzavIyLbzXtL6+HuXl5aisrPR7T/7AG0ht HTccDgeSk5OxZYu+gLqo8ShSctpT/7mgoMA0M1KSJDz99NOIiooyVesXKSuSJMHhcGD69Om67HQK//pL TuhKXDLCOATCEzHLoKmoqMANN9zA9LJEoiGFKyVJwuzZs4NuBOnp6QaZCR7kcZAkCXfeeSeuvvpqbN68 2TScyGc5iuDTkkV+HJUz4ctb0HloZURhKDJUxLIrixcvRlpaWkDPT541ut6XX36JGTNmtDu7tL0w4wQG ClmWfdZhowGaeA9d/ayEoqIin6KUQGs2kyzLsNlslm3swIEDOHz4MK699loD/4PQs2fPdt+zL5iFDy8W yCilRBcr45Sv/BAquDzchhOHnXC7SAS1Ge//dSs8bg/w9ovAD25m+7rdLmzb9Cfg/oXtvm5yyggAwPGD XhmE4XcNNewTbWJM9Y+5Ah+cMbcCb+9pFLg2M77NinFbgc8i56uD0G9Aq5SL2eItLS0NDQ0NOiOsLfUi +fumZJfly5e3qS2ZzW+SJBneFU8laAvFhlBYWGj5W1RUlOWCiSgrTU1NjHu6a9cuXTKCqIEZqrSOS0ZY CwLliegIqxxOnz6NyZMno7S0FKNHj0ZaWhrOnDnDxCunTZsGt9uNl19+maXdBgqHwyv6mpWVpQuDyrKM mJgY/P3vfwfg7RgVFRWw2+0ICwtjqwAKQSqKYilZYbfbkZGRYchu4Yni/KqTsoBoIiNPCXm8CgoKDHwY vj6leH6aDEk9fd26dTpPSaioHBMnkDx8gYLSqQMpNL5u3To0Nze3SXuno+F0OrFmzZqAOUw02FmBwjlW BpgkSRg9enSb7jUYdETGrC+I40l6ejri4+ORkpJiun8oiUcSukfYMHDIMLxqt8Pl8qYd9u0fj4N7dwEf VXj/cfjso2PA/e2/7r7yHaisKIPH7cFfCvJwS4Dei0i7/5C5P5S3ZJ8H0t6vvfZa3HHHHejbty+OHDmC hIQEHbeJwnpiLVveWBo6VG9gPvTQQ21ql3TfZtVBAk1CKSgowJQpUwzPPmbMGN1xIom/PcaN1YJL07xl 4awWTPz2mpoaHceU5jv+HgNJTugqXDLCWmDGEzFrVL5I44C35ExJSQnzCFB83+PxsAnIX/kcs05z6tQp Q6aiJEk4c+aM4XjKzANaRS9jYmKQmJiI0tJSU/dvRkaGjvRI9yESxUWQm50aPHlEzKBpGgoKCtC9e3c0 NDSwwrUUKp01axZeeeUVgwQHIVQmqrYUVo6NjUVVVRUSExN9hsKI/we0XXunI1FUVGQZNrwY0DQNU6dO BYCLGpK82OAnxcbGRhQVFSE2NtbSgzpz5syQW6ErsoTbByXjyZzfY83CX0NVVbz+p9XocW3PVoHWDkLc oCE4cbgS0DSoHg/UlvEy2Ale9iUEFgCio6MNtQitSPS1tbVsLCVPzF133cWiIG63G71792byMtnZ2Th8 +DDzsqmqit27d8Nut7e7XFeqIDjOVwcJxLngdDpNM79tNhtiYmJ0oXKKBtC4YLPZUFNT06Zwek5OjmXW PlWGsVow8ZJGlA2pKAomTJgAwGtUkhMilGUqLhlhLQiUJ8Jb4MeOHcNbb72Ff/3rX4b9yCOQn5/PXNYE l8uFGTNmmKoiW3nk3njjDd1+ZNCRMUbbAO+A0L17dyYXQA2RJ8rzUBQF6enpBuOPN0yJa8bD4/EgOzsb t9xyS8DhOVVVTY00KoVjtQINJZVj8vwFY5ycPn0aq1atgt1ut1SvBqBTrf5PRSALlVAHP5lrmobCwkIs W7bMlAsnSVKbDPuLDanl/53711loqgZNVeFqbsLXX/3d+qBvTgM9egd1nQFHC/DwlF/h+ak/gdvlakkC keDxBJ9x56/MpT/wkQ5/dWt5qKqKpqYm7NixQ7f99OnTmDZtGgCYGhqqqqJfv35tFmklkISOKDgeqHOh vLzcMIb37t0bX331FVavXq2rIwlA1441TTPdh2AW7eD/3rlzp2llF778ly9vnugtA7yLR964DVUDDACg /Rtg0KBBnXKdvXv3agsWLND27t0b8DELFizQJEnyZj9b/FMURUtISDBst9vthmstWLBAUxSFHbdgwQJN 0zTtiSee0B0rSZJmt9s1RVG0yMhILT8/X0tLS9MURdFkWdZsNpsmy7LP+6Lz5Ofna3v37tXsdrvuvvbu 3atFRkaya6Slpfk938X6l5aW1qHfur3Iz89n38nsH30Dq2cxa2f5+fmGffPz87voCb3Yu3evz+f09fyB 7KcoiiZJkmaz2XTXkWWZtf1/R4jjgiRJ2oIFC0zbTXh4eFBjTkfi/fff1/3j8X2TS6s49U9t4f9u0cIj vOOAzWbTYDXeSZIGxa5h2iYNs7YE/M8WFqY9OXehdu9jP9Me+sl4beVfSrVV//dXbfKcZ7T3K3YF9Twf ftWg1Z9vbvP74Mc8q/5rNY4Gs7/4LzIyskPagDiHiWO41TXM+nlycjLrx3x/XLBggWn/lmVZGzVqlO4a 4vXz8/O18PBwTZIkXbvPysrS9Rd+vA/0GcR9w8LCtKysrC7rW4HaLZeMsHZC7LRmjVNRFMuJLCsry/J8 1OBoG9/hZVk2NDLegJNlWbPb7T4nQ0VR2CQvGljUCfhObWYkdNQ/eh6r99SVE5UVsrKyLJ8nJSXFclCm 7ycOKKNGjTLsGwqGSH5+PmtLYWFhfg0sm81mWDT4M8LCw8O1nJwcdp2OmpS6Cnv37tXCwsJM2y8/4UiS ZBgDOhO+jLDzzW5t92f/1Eqqz2iFb/5Ve/qZedrzi5dpsthHJUlTeONsUmHgRti433vfgyxrsqxo4RGR 2qr/+6u29/M6be/nddqFZnenvxMa83JycvwusGnsSktL0/Lz83XjtNU/WjyL57hYfT1Q5wK/QFAUxdCH aa7wtTAjY5T2FZ0KycnJhnkmKyuLOQDMxnorx4QZgtn3YiNQu+WSTlgb4XQ6mR5JXl4eRowYgaFDh5ry B0hPJRDwmi+iECpBa+ETeDweptAPtMbqJUmCzWbDzJkzMXLkSIwaNUp3jZSUFGRlZWHXrl2MdyNyy8y4 ZqWlpZb3HYzr3uzYkSNHory8HGPGjDHdh5d3CBVYaYYpioL+/fv7zGYlrtC8efOYfg3vfge8yRKhwIHL zMzEzp078Yc//MG0bimPm2++GRUVFbj11lstw988iCvpcrkQFRXFrhOKqeTBgPptVlYWsrKydAkW6enp iIiIYFpOoVqiyasv7y35M2ZkKhY+91s88fMJuGvkvbr94uIT8fTvc2G3270bAhWi/f4sUPxb7yGqyjIw j+zfza57MfHxxx/r/hEcDm9ZHn9tnaBpGrZv3474+HiUlZUhKyur9V1wiIuLQ1ZWFpYtW2b47WLyXUUN OytkZmZixYoVsNvt0DQNr732GhvXxQxPfry32+1ITk5mGfNEJ6Ai36QdGBYWhogIvYgu6VhSqFaSJDz5 5JOm0j2BaCYGs2+o4BInrA0QFYMlSbIkk/sDDcBizNusEYpp02aaYzw/7JVXXjHwT2RZxn333cfIovx1 +VTpjIwMAz/t2muN9eQIjz/+ODZu3BiUMj5B0zRmgGzbtk13r8Q9CBVSPg8xU/aKK65AYmIiq2u5Zs0a n7wxTdPw7rvvYteuXUzbJycnB+Xl5ejZs6dljc6uALVJXqHaDE8//TQcDgeqq6tZdpgWwKSsqioqKyuR mprapXUyOxK+CG4nt5sAACAASURBVMX/DorektQqchppV6DIEsJtMsZn/QJ7338XruZmSLKMH8TE4KZ+ /bFy0xa88dqr2K4EqJz//VnDJps9DIPuuJNxuwI059qEr776Svd3v3792H/TwlcLQAtM4zK3U1NT8dln n5kuwHr06IGVK1di4cKFhpq+oZKYUVVVxQwirUVeQ1VV3YKwqKhI93x9+vRBRkYGDh8+rJPqKDdRrxf5 wKLWl9mihJfuqa2tZRI+gfQtwFhiL9RwyQhrA3iyo6hHEixIHdxXBgs1rMcee4zJUQBer4NZ6jB5FszA dybRyMrJycGRI0dYMeaFCxfqSJ1WkCQJr7/+uuV7SElJwTfffIMTJ06Y/g54Oz8/AABgInt0jVADr1Wj qiq+//57HDhwAID3m02cONFniSPKOG1qasK0adOgqmqX14n0BafTibVr11r+npaWxgrqzpgxg7XFQLF5 82Zs3749ZJ//PxGyJMEmy6ziYo/Lw/HwqFQc/c0CLP39L6F6PNj5ztvYW16GlZs2Y9b8F7FvcQn86v+f /RIo+b1u0x0jRmPi1F8gflCyjwqPnQPSKSSCvr92TGrtJD9htlCpqKhAQUEBGzf4RfXSpUsD1lC8WCA5 GgLdG80nNFcVFhbq3sfx48cxbdo0zJo1C4sXL9YlBoigEno8SFJi4MCBPuvGrl27ls1DvuR7+KzJjixP drFwKRzZBpBnikqz+IPdbrcs+1JcXGzIYCkqKkJ2djays7NZqMrhcCApKUl3LL9yo/vyVV6GXL2Ad3VA Ipx03aioKGzfvp2FKHnXrqIoltpO1EnN3oXdbsf+/ftx8uRJy/sCvF6jffv2GbbTRB6K4UgyjkeOHMkG bL4MTnp6OivTI2LUqFEsJEWitFSAlw9RhhLEDKoePXqwth0ZGcnS63kvQiDgvbcdVUYolEGTg1iKJRQh SUC3MP2YEqbI+L7hLDTO0HA1N6G0+DV8fOQgbvvnPshvvQD85TfA6782P/GJcuBcq6kWN3AI5q9Yj/hB yZCZB07qEmNMXESI3pr+/fvr9pdlmWU8k2i1LMu47rrrDOemairjx4/H4MGD2RwSCu3eLEOSr7ySnZ2N 3Nxc0wW+y+XCW2+9hWXLlunoBGJbT0xMNIyJAwYMgKIoOHToEGbMmGHaH8qFSjX+3pfT6cS8efPQ2NjI xtWufr9WuGSEtQHi5GsFSZKQlZWFnTt3YsWKFab7JiQkGIyd1atXY9WqVVi1ahXuvvtu1ihFEUvxb4fD wTRSeNB5IyIikJiYyDrF2rVrYbPZLOPnPD9twoQJbQo1OhwOuN1uv5w4t9vNdGHM0NHlnjoKDkdrPTjx PTocDsyaNcvy2Ly8PF29NzLkduzYgdSWclChBH7xAXjDsZIkYdKkSbpVprifL9hsNjz88MOm7+//V5jJ BoQqJMDAzZIAJA65E4pNz3va8vqfMeOn/4Xdxeshf34A/a7pBvz9Q4sT69tGr5v6optdgQTg9h9eid5X dUP8D7sjogMEWIOFr0WEpmn45JNPWH+12WxYuXIlMjMzdeN4eHg4Bg8ebDi+R48eGD58OPLz83Ho0KGQ qQ8LtBbxJoj9V1VV02oPBPKI1dS0asgVFRXhwoUL8Hg8aGxsRF1dHSoqKpCQkMD2OXLkCKtHbLUIFe/N 1/siw2/Hjh06Bf1gC6N3Fi6FI9sImnx37dpl6X7WNA3du3dHeYvivBleeukl3HTTTSzmXVFRodOK4i14 scSDWaHX9PR0ndvWbrfD4XCgsbERGRkZqKqq0rnBJ02ahNjYWMuYuZUgXqDJBo2NjbryQ21Fe4+/mPDF 8WloMC+jsmPHDuzatYsZL/Hx8cjIyMCJEyfYyrirhVpF0HPOmzcPO3bsgKqqcLlchhp7Doe3AHtxcTES EhJw8uRJbNmyxTJpJSYmBu+//37Ic6Q6CjRZX+zale2FTZZbvFF6Y0SSgNsHDcZza/6CPy36HT758CgA TRd+VjXVtxeLM8IUmw13P/QoFNlLxg+zybjm8nAfB19c0PehcV2sx+vxeJCRkYHY2FhER0ejrq6OCZXy 40B1dbWu3UuShE2bNunOo6oqHn744ZDgf1IyCXGuunfvbuBw+Ss073K5sGrVKqxbtw5LlizB6tWr2W9a iwo+AHzwwQemx6uqyniyYkk3/t58aaqZGdFWpaNCAm1JvexshLpExYIFC7SUlBTL9GV/mjOyLGt9+vSx /D0nJ0eLjIw0pEtbpbbv3btXy8rK0tLS0nSpv3a73WcqsD/k5+dro0aN0vLz8/3qZPH3zu8nSZIWFxen kzkIJA2cdJb+3eBLxgIA09XZu3evQfqhK6ULfEGUKpEkSScpYaYNlJWVpaWkpJjKW4Si/MjFRls0CS8G fElUEJyff6t91+hif3ulK+q04g/OaM//7xYtwp+u1vAJelmKn6/Q0C1KA6BFXfMD7Y9FW7SS6jPa/r99 qx2sOdtJT+772en75OfnM7kK/plIWzEyMpJpAvISDllZWVp4eLjfcY3G5a5uByL27t1rKpkj/uvevbvl b6IcBY13CxYs8Hve9shL8N+F5teukLwJ1G655AlrJ8hTVFNTY1mYl1ZTVoWfVVXFJ598YnkNM8s+PDzc MrWd7mnhwoXYvHkz2+5yuRj/xiwV2BeIJ9Hc3Myy+Xr16oXTp09bHvPEE0+goaFB98w2mw0zZsxgRPRA SK+Ab/dzKCM9PR2FhYWWiRLvvPMOysrK0KtXL4OnyEoCo6shZoVqQnkZPtzGJx0AMPWGhaLX72LjYteu 7EiIOTFSyz8ZwG0DB6Oo+C18emQ/Pvv8NNasXg1DTuPOtcCgtNa///IMcN7rEbkmpif6DUiCIkmQJUC7 qPmQgUP8PgsXLmRtnrwq5Sb1GgFgxowZARUAJ1AmYai0B5KW8JWMRTh37pzlbxEREYbKIo2NjXj99df9 ntdms7V5vOc9kuSpDGUP+yVOWAchPT3dEEOPiYnRcQSoCHdaWppPAr2IiIgInfaJqDtkBTGOToW926JP JE6sU6ZM8WmAAcAnn3yiy6aj0kNiGrQ/pKWldXkh67bC4XCwIu5W8Hg8pu8yVN3nZtwR3kjmuTF80oEv 3bR169aFHAfuEryQJBikv2RJgiQBdkVB8pA7MHfuXDzxs5/BHmbUxzKesPU/7xn7OCTJW6dSgoSYKyKs j+tCUEYjjeWpqakGionH40FxcXFQSSlA6NTEJVDCFuH666+3zE73xRPev38/li9fjrS0NMTFxUFRFFRU VPjk/hKCcRCYgbTeQt0AAy4ZYR0Gh8OBO++8U7ft66+/hqZpjLicmZmJlStX4s0338SKFSsCNsT69+/P CPLl5eVYuXJlQI1KFIzcuXMn3n//fZ0QbKAQJ1azzid21HPnzrFVEBG4gy3KLMsykpOTQ7oT+YOvLEkr WKV4hwq0Fv0km82GzMxMA3+D2islHSiK4vMdhGL26yV4YeahouzFCJvMPGVD7nBg9rznIbeMa7Ki4Ec3 9jEQ+GVbGK67sQ+Sf3wfeveJAwDYFRnXXBaGH0VFXvwHagOoTU+aNAnjx49HSUmJzsMryzLCw8Mxbtw4 lpQSSGKKJEkhUxPXCpdddlmbjmtubkZdXR3efPNN/OxnP/NpsPFzh68ojxlIOJ1fxP07ZSBfCkd2EAoK CrBnzx7dNk3TDKr2TqfTtFipCEVRmEheexS1zcIebenwvIu3vr4eL730kuH+ZVnGmDFjmAI1JRhQFhHg ff709HRW4d4XaGALZWMkEFBxXV7oVJIkDBgwAEePHtUVXu/Xrx/69esXEkRdK1Aqu9YixMq3b8L/a+/e w6Ks87+Bv+85UQpIogii6UOKHAQVEMHMxUw3N1NJn5+aXlSamGlm7ZVtp2dpax8qrai0rnBbV7eD2+62 SvrQaugk2pQheMhWW0+bKLqIgoeAOX2fP/C+nRlABxnmnmHer+vycoaZuef7gTl87u/h85WvG41GFBQU oKKiAuXl5U4FgeXETN5k19//zp1V37AuCDZc/aqQHEpI6LWSUy9Z3fnzymik3WZD5bHD0On1iKr4CFU3 9wVsVtgvnsXpS2dRdfwo9nxtxIurPkVGRma7N9/2hjVr1jRbiCXv+OG4SfSiRYuuWagZaHq/yysrfYnr FIpDhw7dUC1MIYTSWxgeHt7qMSRJwvz5852evy3TZFqqBeY4ctPQ0ODT0x2YhHmAyWTCwoULnZISuVq4 JEnKC7GwsFB5c17vRW232zF//nwlAfOFonPyc44dOxZCCGi1Wtx+++349ttvlS/SCRMm4PPPP3f6kBo0 aBCOHj2KVatWYc2aNXjssceu+TyjR4/GrFmz/KIr2V25ubk4cuQIli1bplSidi1ea7fbcejQIRw/flyp ueWL3Fnd5/jhKBeldXxN6HQ6rFy5EklJSQGzKtJf9QppvlJRIzX1Xmmkq2snJQCpmbdDb9DD3HiliLUQ sNtsiO+uR83GFbBaLZAgwS5vV2UWOPCdCXfcPhLqVAVzn/zF7nryqNFonBKwmpqaZkW8dTodIiMjcfLk SeV7ITc31+cSMODqFIr333+/WZ00mVarxaBBg5TV3C1xXJEol7Np6b4Gg6FNiZejlsq9yEOR8hxsebrD jT5HR+NwpAcYjUanF6per8evf/1rZVnzY489hqeffhoLFixotaipK/k+rlm92nWFHD+IhBBoaGjAhAkT lCHXmpqaZj1kISEhsFgsylnJ8uXLr9kLtnPnTiQlJbm135m/MJlMeOONN5S/q/y3dH0tyBX0fXlorqX9 TV05vmatVmuzv/eTTz6J3Nxct/e1I9+h12iglTS4Wa9p1ns1JC0dy9b8HXdNnQ29wQCNVgudXo9fTPzf eOa9dZg6/9f41ezcq9XY7XaEhN0CreT7X0XyyYfrtIt7773X6fXbWq+PnIABVxMPX+W4v6ler282tDpj xgwcPnz4mt9l8i4C+fn5CA8Pbzb9Jj09HY888gjefvttGI3GGxoydJwm41qjcc6cOcrfypenO3i9J+zQ oUOYPn26cv3o0aP43e9+hyVLlni7KR4jT9psbGxUqidXVFQoyYjZbFZ6QGRyL5JcvwuAU5es6/F9pa6Q aw0deXhJo9Hg9OnTiI2Ndbq/POlUvp88hOV4u+tZo6+tFvIE45Utpdzhy4UFZddb3Se/TlpbJebO5Fzy TRqNhGF9umHnsRpIuDppP0inQd+wLriUko7o+GG4a/L/4EDZ10hMG4n/NTgFVmHHgKQU/L8170KSNBDC DkmjwaW6802T/31kZWRrHPcw/OCDD5Tef8dea3kVuetJh+t7/0YKX3tLYWEh/v73v+O+++5DdXU1hg4d itdff125XZIkVFdXK99vkiThjjvuwI4dO5zislgsWLBgASRJgsFgwPTp0/HRRx8pt2dlZWHKlCntGuW5 Vo3GnJwcpbal2t+b1+L1JGzQoEHKB7DNZkN0dDSys7O93QyPcixOKe+7uGDBAqf7OH4RaTQavPvuuy12 RT/66KOw2WzQarVKiQJf2vDXtWCnHJfdbsf69euVDc3lLvd58+YhLCzMaTK/vFWHVqvFyJEjWyzt4etJ SFs5do9fj08XFnST6xeWa4kOecN28l8SmoqrBumu7u/as6sBB6WmIRbpSi0LSWpK3CSbBEkSSByeCX2Q AVaLBTq9HsNG3O4X88GAqycfOTk5LX4ey2UrrkfumfG1E83CwkKnzgBJkrB161anzy0hBHr27Kl0DGi1 WnTv3l05oXYkX29sbMS3337rdNubb76JCxcutDic2BatnRD60vfmtag6J6ykpAS33XYb+vXrp2Yz2k0+ +2lsbERJSQmKi4sxYcIEBAUFwWw2N6sYf9dddyl7iDkmYvK8IXm4bsmSJUhKSlJeZL7wIjKZTDAajZg6 daoy5ORITiDlzajlLnfHja7lWjvTp0/HX//612bP0RmSEFeZmZmYN2+e04beLfUQSZLUKRYjAM5fWGvX rsUPP/yg9Pz64lwYahuNJGFgz64ICXKetK+RJBzaW4b/M+9/YDVboDPo8btVn6J/YgoACXFDh+PlP/wV B8pMGJI+EqnpGU49at6Smpp6w49t7fM4PDzcKRFJSEhAbGwsNmzY4PR+99WeGfl7SeZY59Ixrk8//VQZ 8Vm9enWz+FzZ7XYcPnzY6Wc2mw2nT59WTso74nfiK9+b16JqErZu3TrMnDlTzSZ4hGPRPgBYv349iouL 8fbbb6OmpgY//fST02rAzZs3K/8fOXIEU6ZMgdFoxIEDB/Dxxx8rL2Z5bpCvvIhcV6K88847KC4udtqa Q64f5TjEKJ+RLFmyRBmWtNvt+Pjjj52OL8876CxJiCu5e7y1ITqNRoPc3FyfnUB6o/zhg5DaTtlk26Eb S7pSdPVAmQlWswV2uw1WS9P1/okpVx4DJAxLQ1JKOoCm6xpJarZReEcLCQnx+DEdCxlrNBrMnj0bWVlZ KC4uVqarTJo0yWdXP0+dOlX5fgKurlB/7LHHnOby2mw21NTU4NZbb3VaaCa/Fq4371kub1NcXAybzQaN RoOCggKf/J10NNWSMLPZjKKiIuTn57d4e2FhIQoLCwEA1dXV3mxam2VlZTU7U5BrpDzzzDNO+y66rjZZ tmwZ3nrrrRYnaUuS5FPJiOsCAbkGjFx2Q7Zq1SqlPIdjElleXu50PNe5Yffeey8iIyM7XRIicxyiW716 dbNhi0mTJuG9995TqXVEbaNpoYhrEwkpGaPwl/ffhNUC6PR6JA8f2XSLdKXiviRBo5GglZouJ0aGqLJZ t6fJ84Nd5yE51tXz1QQMuDoyI+/7GhYWpgzl3XbbbVi0aBFsNpvTibLjsOScOXOQk5OD3/zmN9fc7FuS JGRkZKC0tFT53XS20Q93qZaEFRcXIyUlBb169Wrxdsflu2lpad5sWpvJdaDk+VwAmq3UcKyx5bopamtz CNwp9udNrS0QcOzpcEw4He8j15Zqjc1mQ1FRUZsL9fkb1yE6uV6cVqtFZGSkshEwka/TSBK0LXxEaSQg ZfgI/N8//g0HvjMhaXgmYoek4bLZBklc6UGDBL2m6RgaP5kP5o6W5iHl5+crpRKsVivy8vKcSlr4mtZK Z+Tm5rZYUsZ1PrTJZEL37t1bLeoNNCWlO3fuVE7E27NNkb9TLQn75JNPOsVQpEx+gba2y7vrkIzctes6 X8yRr60SdGeiY2v3uVaxPpndbr/hyZn+Ro5v9erVypY+hYWFWLNmjWp14IjaYkjvUOhayMKaEiuB5JR0 DE1LhxCA2WZXes4kSNBq5J4wyanWWGfg+lnvuqL8yy+/RGlpqd+8zx1HOnJycvDMM88ot8m1L202G0pL SwEACxcubLYaVN5BQF4d75igtXUf485GlSTs8uXL2LJlC95//301nr7DuDv3ZcqUKSgoKGix8F+PHj1w 9uxZAL5ZqsCdGFu6j+umz0DTm09eSSm/MX11wmpHMBqNTqsGAykJJf/XUgImkyTgJr0GWklCg9WmDEHK 1faDg7Sw2oXys85MPjF9+OGH8cMPP/jV+9x1M+/Vq1cr+/jKRcrlhKuxsVEp3eFKCIEnn3wSFy5cAACE hobizTffBND2bYo6G1WSsK5duwbs+C/g/OXr2DsUFBSEUaNGYf369QA61yrBrKws6HQ6p9WUBoNBWbzg D7vde5rrSqpAS0Kpc9JITb1deo2kTN6Xhx2FdPV2jSSglaQrKyO93xd26tQpp+u9e/fusOfav3+/so0b 4HvzfVvjeqLomDy6FinXarWt/g6FEFi+fDmEENDpdMoIUCBPyJdx2yIVtDY0N2HCBGzcuFG5rtfr/eKN 6g65grG8FYbcBS3PPZBLXwQS197BmJgYPPXUUwH9gUT+T0645B4uraZpo+8Giw12uXgYmhIxOUnTqTD/ 9ccff3S63pFJmGvpB3fqBfqC8PBwpykzGo0GtbW1ShV81yLlSUlJykpQV/LnnGNSJ4RARUWFd4LxUUzC VNDaPlrnzp1z6sqdMGFCp/pCdq1gLHdBt7YJa2dmMpnw008/Qa/Xw2KxwG634+jRo0614Yj80dDobig7 UaskYTqNBPuVqQcaCGVIUgKg1QCpfcNUba83uJZ+kCTJ54cj5fqX8lQRecX7a6+9ppSuKCgocBrJAIBt 27YhLy/PKd7WCCHwwQcfdNoV8e7wreV3ASIrKws33XSTU30djUaDhoYGp/tFRkZ6u2kdqrU9B31pb0xv kJNOuZRHWlqa0iMWCPFT56a9Mgwpf7rJPWNazZXyFA4/jwhuvjl4Z5Sbm4ulS5cqE9T9oRai4z7BrlvL yZ9V8hSSJUuW4IUXXsDYsWMBAHl5eTAYDC0e13XvTV/e19EbmISpQE5G5s+fj6CgIGi1WgQFBWHu3LkI CgpSqqZ3xsmKLW3YLK8ect2EtbNyTDptNhtSUlKU10EgxE+dX9NEfNdErCk5M2jlbY6AW2/polobve3V V1/Fjh078PLLL/tFb7/j57Lr5tvyfpBZWVlKsXKbzeZUYNxoNOKRRx5BfHy802PvuOMOpwQt0D/zOByp ktb2IGupDktn5y97fHmKa721nJycVveiI/JHOo0GdiEgIJom5F/5mdUucLNeq1TODzT+tHuE4+dyeHg4 Fi9eDLPZDJ1Oh7lz5ypDiPv371fme9ntduzatUupdyivoszKyoLFYoFWq0VCQgJmzZqlzAUL5KFIAJCE GstS2igtLQ1lZWVqN4PIY+SFCEy6SE2uw0Ce7JH4vuoCGq12iCtVwH4223HJbEV4F0NTL1jYzYgMvclj z9dWHRl7Z+RaL0z+3MrPz8fzzz/vVPfrpptuUnr75MedPn0axcXFsFqtATH31928hT1hRCrwpzNiohsR FxEMmxCwXakHtvtELboatErFfDUTMLox8sIqx6LS8lZN8p64Qgg0NjYiLy8PU6dOxZIlS2A2myFJkjK/ zF/qpHkD54QRqcRkMiE/Px8mk0ntphB5nE6rQZBOiy4G3ZUhSAl6jaZpnph0dQCG7wP/0NoCKtc5zvIi oy1btmDBggVoaGiAzWaD3W5X5pcF+jwwR+wJI1JBIJbloMB2tUirpAxR8n3gP1rbOxhwnuOcl5eHLVu2 KL1igLxhuwZPPPGE06bgxJ4wIlUEWlkOX8PeF++Ti7MCwK1hTasi+T7wH62VGHK9T15eXourKe12O955 5x0mYC7YE0akgmudVVLHYu+LOuQVkT26GhAR0lQfjO8D/+Lu3sErV65UNvaWhyc5F6xlTMKIVBBoZTl8 SUu9L/z9dzzNlS2Kuhiu9pLwfdA55ebmKuWWwsPDlcn5TLSbYxJGpBKukFQHe1/UoZEkJESG4Ga981AV 3wedj2M5i6ysLCba18AkjIgCCntf1JHcOxR6Lachd3ZycVaz2QwAWL16NbZt26ZU1wfA95wDJmFEFHDY ++J9vpaAxcbGqt2ETsloNMJisSjXzWYzXnvtNWzatAk2mw1BQUGch+mASRgREQWc3r17q92ETikrKwt6 vV7pCZMkCUVFRUpFfcf9JYklKoiIiMhD5M27p0yZAq1WCyGEkoABgFar5TxMB0zCiIiIyGMyMzORnp4O AHDcnlqn02HFihXsBXPA4UgiIiLyKMdVyFqtFnPmzHHa+JuaMAkjIiIij+IqZPcwCSNSgclk4ocTkYou XrzodD0kJESllnReXIV8fUzCiLyM2+YQqW/37t1O1zlZnNTAJIzIy7htDvmKzz//HBs3bgQATJw4sVki kpaWplwuKyvz6HOfOnUKkyZNUp47Ly/Po8cn8gdcHUnkZfKEVa1Wy21ziIgCGHvCiLyME1Yp0JnNZvTu 3dvjvWtE/oZJGJEKOGGV/FV9fT3Wrl2LkpISVFZWQpIk9OvXD/fccw9mzJgBrbZpg27X4cbk5GR89NFH qKysxPPPP4/U1NQWhyMdh0BdOd6vtrYWf/zjH7F9+3acOXMGer0et912G7Kzs5XjAk1zv+bPnw8AmDdv Hrp27Yq//e1vOHz4MHr16oXs7GwMHjzY078mIrcwCSMiIrfU19dj3rx5OHjwoNPPf/zxR/z444/49ttv UVBQAI3GeaZLaWmpMvesPSRJAgDU1NTgwQcfRFVVlXKbxWLB/v37sX//fnz//fd49tlnmz1+3bp1yqpI i8WCyspKvPvuu3jxxRfb3TaiG8E5YUQqM5lMyM/Ph8lkUrspFMA2btyItLQ0p3+uPvnkEyUBy8zMxD// +U8UFRUhLi4OAPD1119j8+bNzR5XV1eHBx98ECUlJdiyZQsyMjJabUdZWZny77PPPkP37t0BAMHBwZg5 cyYA4L333lMSsHvvvRdbt27FJ598gqioKADAZ599hn379jU7dn19PZYtWwaj0YgRI0YAAGw2G4dFSTVM wohUJJereOGFFzB27FgmYuTTduzYoVxetGgRwsPD0bt3b8ybN0/5+c6dO5s9rl+/fli4cCG6deuGW265 BT179rzuc1VXV2PRokU4d+4cDAYD3njjDcTGxjZrxxNPPIHQ0FAMHDgQ999/f4ttlY0ePRpjxoxBcHCw U5JZU1Nz3fYQdQQmYUQqaqlcBZEaJk6c6NQL1VLv0Pnz55XLkZGRymW5BwoAzp071+xxsbGxylCiOy5c uICFCxfi1KlT0Gg0yM/PR0pKSrN2dOnSBaGhoS22w7Gtsv79+yuXg4KClMtWq9XtthF5kipJWG1tLaZN m4a4uDjEx8fz7J8CFstVkD+55ZZblMunT59u8bI8fOjIMeG5nvr6ejz++OM4evQoAOC5557DL37xC6f7 yM/x888/48KFCy22w7GtMp2O06DJt6iShD3++OO4++67cfDgQezduxfx8fFqNINIdXK5ipdeeomV88nn jRo1Srm8cuVKnDt3DqdOncKqVatavE9bWa1WLF26FPv37wfQNOQ5efLka7ajoKAAFy5cwJEjXwFmngAA Da5JREFUR/Dxxx97pB1E3uL104K6ujps374df/rTnwAABoMBBoPB280g8hksV0H+YubMmdi6dSsOHjyI r7/+GuPHj3e6feTIkRg3btwNH3/fvn1OIyMrVqzAihUrlOtyiYpHHnkE33zzDaqqqlBUVISioiKn49x3 331ITk6+4XYQeYvXk7Bjx46hZ8+eeOihh7B3716kpqbirbfeQteuXb3dFCIiaoObb74Zq1atwtq1a/Hl l1/i5MmTAJrmWsl1wlzLU7SFEMKt+4WHh+PPf/6zW3XCiHyZJNx91XtIWVkZMjIysHPnTowYMQKPP/44 QkND8dJLLzndr7CwEIWFhQCaVsn85z//8WYziYg6PdeFIIE0JzGQY6eOl5aW5lbpE6/PCevTpw/69Omj 1GiZNm0aysvLm90vNzdXWaHjznJmIiIid0VFRTn9I1KD14cjIyMj0bdvXxw6dAiDBg1CSUkJEhISvN0M IiIKYIMGDVK7CUTqbFv0zjvvYNasWTCbzYiJicHq1avVaAYRERGRalRJwoYOHcptIoiIiCigsWI+ERER kQqYhBERERGpgEkYERERkQq4kRYREQUc1gkjX8CeMCIiIiIVMAkjIiIiUgGTMCIiIiIVMAkjIiIiUgGT MCIiIiIVMAkjIiIiUgGTMCIiIiIVMAkjIiIiUgGTMCIiIiIVMAkjIiIiUgGTMCIiIiIVMAkjUoHJZEJ+ fj5MJpPaTSEiIpVwA28iLzOZTBg7dizMZjMMBgNKSkqQmZmpdrOIiMjL2BNG5GVGoxFmsxk2mw1msxlG o1HtJhEFnODgYKd/RGpgTxiRl2VlZcFgMCg9YVlZWWo3iSjgpKWlqd0EIiZhRN6WmZmJkpISGI1GZGVl cSiSiChAcTiSiIiISAXsCSPyMk7MJyIigD1hRF5nNBrR2NgIm82GxsZGTswnIgpQTMKIvCw8PBx2ux0A YLfbER4ernKLiIhIDRyOJPKympoaaDQa2O12aDQa1NTUqN0kooBTVlbmdJ2rJUkNTMKIvCwrKwtBQUEs UUGkokuXLqndBCImYUTexhIVREQEMAkjUkVmZiaTLyKiAMeJ+UREREQqYBJGREREpAJVhiP79++PkJAQ aLVa6HS6ZqtUiIiIiDo71eaEbdu2DT169FDr6YmIiIhUxeFIIiIiIhWokoRJkoTx48cjNTUVhYWFajSB iIiISFWqDEfu2LED0dHR+O9//4tx48YhLi4Oo0ePdrpPYWGhkqBVV1er0UwiIiKiDqNKT1h0dDQAICIi AtnZ2di1a1ez++Tm5qKsrAxlZWXo2bOnt5tIRERE1KG8noRdvnwZFy9eVC5v3rwZgwcP9nYziIiIiFTl 9eHIM2fOIDs7GwBgtVpx//334+677/Z2M4iIiIhU5fUkLCYmBnv37vX20xIRERH5FEkIIdRuxPX06NED /fv39+pzVldXB+xctECNPVDjBgI39kCNGwjc2AM1biBwY1cj7uPHj+Ps2bPXvZ9fJGFqSEtLC9hK/oEa e6DGDQRu7IEaNxC4sQdq3EDgxu7LcbNYKxEREZEKmIQRERERqUCbl5eXp3YjfFVqaqraTVBNoMYeqHED gRt7oMYNBG7sgRo3ELix+2rcnBNGREREpAIORxIRERGpIGCSsBMnTmDMmDFISEhAYmIi3nrrLQDAuXPn MG7cOAwcOBDjxo3D+fPnAQBCCCxevBgDBgxAcnIyysvLlWMtXboUiYmJiI+Px+LFi+HrnYmejP3pp5/G 4MGDMXjwYPzlL39RJR53tTXugwcPIjMzE0FBQVi+fLnTsb744gsMGjQIAwYMwCuvvOL1WNrKk7HPmTMH ERERfrGzhafibu04vsxTsTc0NCA9PR1DhgxBYmIifvvb36oSj7s8+VoHAJvNhmHDhmHixIlejeNGeDL2 /v37IykpCUOHDkVaWprXY2kLT8ZdW1uLadOmIS4uDvHx8TCZTN4NRgSIU6dOid27dwshhLhw4YIYOHCg OHDggHjqqadEfn6+EEKI/Px8sXTpUiGEEJs2bRJ33323sNvtwmQyifT0dCGEEDt37hQjR44UVqtVWK1W kZGRIbZt26ZKTO7yVOwbN24Ud911l7BYLOLSpUsiLS1N1NXVqROUG9oa95kzZ8SuXbvEs88+K5YtW6Yc x2q1ipiYGHHkyBHR2NgokpOTxYEDB7wfUBt4KnYhhPjqq6/E7t27RWJioneDuAGeiru14/gyT8Vut9vF xYsXhRBCmM1mkZ6eLkwmk5ejcZ8nX+tCCPH666+LmTNninvuucd7QdwgT8ber18/UV1d7d0AbpAn487J yRGrVq0SQgjR2Ngozp8/78VIhAiYnrCoqCikpKQAAEJCQhAfH4+TJ09iw4YNeOCBBwAADzzwANavXw8A 2LBhA3JyciBJEjIyMlBbW4uqqipIkoSGhgaYzWY0NjbCYrGgV69eqsXlDk/F/sMPP2D06NHQ6XTo2rUr kpOT8cUXX6gW1/W0Ne6IiAgMHz4cer3e6Ti7du3CgAEDEBMTA4PBgBkzZmDDhg3eDaaNPBU7AIwePRrd u3f3XuPbwVNxt3YcX+ap2CVJQnBwMADAYrHAYrFAkiQvRtI2nnytV1ZWYtOmTXj44Ye9F0A7eDJ2f+Kp uOvq6rB9+3bMnTsXAGAwGBAWFubFSAJoONLR8ePHUVFRgREjRuDMmTOIiooCAERGRuLMmTMAgJMnT6Jv 377KY/r06YOTJ08iMzMTY8aMQVRUFKKiovDLX/4S8fHxqsRxI9oT+5AhQ/DFF1/g559/xtmzZ7Ft2zac OHFClTjayp24W9Pa78NftCd2f+apuB2P4y/aG7vNZsPQoUMRERGBcePG+U3s7Y17yZIleO2116DR+N9X Y3tjlyQJ48ePR2pqKgoLCzu6uR7TnriPHTuGnj174qGHHsKwYcPw8MMP4/Lly95otsL/XmntdOnSJUyd OhUFBQUIDQ11uk2SpOue8R0+fBj/+te/UFlZiZMnT2Lr1q0oLS3tyCZ7THtjHz9+PH71q19h5MiRmDlz JjIzM6HVajuyyR7R3rj9WaDG7qm4r3UcX+WJ2LVaLfbs2YPKykrs2rUL33//fUc112PaG/fGjRsRERHh s6UMrsUTf/MdO3agvLwcxcXFWLlyJbZv395RzfWY9sZttVpRXl6OBQsWoKKiAl27dvX6nN+ASsIsFgum Tp2KWbNm4b777gMA9OrVC1VVVQCAqqoqREREAACio6OdenkqKysRHR2Nf/zjH8jIyEBwcDCCg4MxYcIE 70/kuwGeiB0AnnvuOezZswdbtmyBEAKxsbFejqRt2hJ3a671+/BlnojdH3kq7paO4+s8/TcPCwvDmDFj fHraAeCZuHfu3ImioiL0798fM2bMwNatWzF79uwOb3t7eepvLn+mRUREIDs7G7t27eq4RnuAJ+Lu06cP +vTpo/T0Tps2zWkhmjcETBImhMDcuXMRHx+PJ598Uvn5pEmTsGbNGgDAmjVrMHnyZOXna9euhRAC33zz Dbp164aoqCjceuut+Oqrr2C1WmGxWPDVV1/5/HCkp2K32WyoqakBAOzbtw/79u3D+PHjvR+Qm9oad2uG Dx+Of//73zh27BjMZjPWrVuHSZMmdWjb28tTsfsbT8Xd2nF8madir66uRm1tLQCgvr4eW7ZsQVxcXMc1 vJ08FXd+fj4qKytx/PhxrFu3DnfeeSc+/PDDDm17e3kq9suXL+PixYvK5c2bN/v0amhPxR0ZGYm+ffvi 0KFDAICSkhIkJCR0XMNb4tVlACoqLS0VAERSUpIYMmSIGDJkiNi0aZM4e/asuPPOO8WAAQPE2LFjRU1N jRCiaYXQo48+KmJiYsTgwYPFd999J4RoWimXm5sr4uLiRHx8vHjiiSfUDMstnoq9vr5exMfHi/j4eDFi xAhRUVGhZljX1da4q6qqRHR0tAgJCRHdunUT0dHRyurPTZs2iYEDB4qYmBjx8ssvqxmWWzwZ+4wZM0Rk ZKTQ6XQiOjpa/OEPf1AztGvyVNytHceXeSr2vXv3iqFDh4qkpCSRmJgoXnzxRZUjuzZPvtZl27Zt84vV kZ6K/ciRIyI5OVkkJyeLhIQEn/+M8+TfvKKiQqSmpoqkpCQxefJkce7cOa/Gwor5RERERCoImOFIIiIi Il/CJIyIiIhIBUzCiIiIiFTAJIyIiIhIBUzCiIiIiFTAJIyIAlJeXh6WL1+udjOIKIAxCSMiIiJSAZMw IgoYv//97xEbG4tRo0YpVbLffvttJCQkIDk5GTNmzFC5hUQUSHRqN4CIyBt2796NdevWYc+ePbBarUhJ SUFqaipeeeUVHDt2DEFBQcp2PURE3sCeMCIKCKWlpcjOzkaXLl0QGhqq7P+ZnJyMWbNm4cMPP4ROx/NS IvIeJmFEFNA2bdqEhQsXory8HMOHD4fValW7SUQUIJiEEVFAGD16NNavX4/6+npcvHgRn3/+Oex2O06c OIExY8bg1VdfRV1dHS5duqR2U4koQLDvnYgCQkpKCqZPn44hQ4YgIiICw4cPhyRJmD17Nurq6iCEwOLF ixEWFqZ2U4koQEhCCKF2I4iIiIgCDYcjiYiIiFTAJIyIiIhIBUzCiIiIiFTAJIyIiIhIBUzCiIiIiFTA JIyIiIhIBUzCiIiIiFTAJIyIiIhIBf8f/WSmoAYZtVkAAAAASUVORK5CYII=\n", "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl4AAAFzCAYAAADv+wfzAAAAOXRFWHRTb2Z0 d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAA CXBIWXMAAAsTAAALEwEAmpwYAADOKElEQVR4nOydeXwU5f3HPzOzmwRFRCOICEjx4NBAAiG4HmEtiqKi qWntYRsVJIKiRVQqtbahWrBBJQoICdeP1AOtQQ4VD5DlykJAAkRAUWwMClEMRkBI9pjn98fu8+SZ2Zk9 kk12kzzvvlLZ2dmZZ2aeeZ7v8z0lQgiBQCAQCAQCgaDZkWPdAIFAIBAIBIL2ghC8BAKBQCAQCFoIIXgJ BAKBQCAQtBBC8BIIBAKBQCBoIYTgJRAIBAKBQNBCCMFLIBAIBAKBoIWwxLoB4XDeeeehd+/esW6GQCAQ tClOnDih+XzWWWfFqCUtT3u+dkHzU1lZiR9++MHwu1YhePXu3Rs7duyIdTMEAoGgTeFwODSf7XZ7TNoR C9rztQuan/T0dNPvhKlRIBAIBAKBoIUQgpdAIBAIBAJBCyEEL4FAIBAIBIIWotkErzFjxqBr16644oor 2LannnoKAwcORGpqKkaOHInDhw831+kFAoFAIBAI4o5mE7zuuecevP/++5ptjz/+OPbs2YNdu3bh1ltv xT//+c/mOr1AIBAIBAJB3NFsgldmZibOPfdczbZOnTqxf//888+QJKm5Ti8QCAQCgUAQd7R4Ooknn3wS xcXFOPvss7F+/XrT/YqKilBUVAQAOHr0aEs1TyAQCATtAJE+QhArWty5/l//+hcOHTqEu+66C3PmzDHd Lzc3Fzt27MCOHTvQpUuXFmyhQCAQCAQCQfMQs6jGu+66CyUlJbE6vUAgEAgEAkGL06KC1xdffMH+vXLl SvTr168lTy8QCAQCgUAQU5rNx+v3v/89HA4HfvjhB/To0QPTpk3De++9h88//xyyLOOiiy7C/Pnzm+v0 AoFAIBCEhdPphMPhgN1uh81mi3VzBG2cZhO8Xn/99YBtY8eOba7TCQQCgUAQMU6nEyNGjIDL5UJCQgLW rVsnhC9BsyIy1wsEAoGg3fH555/j888/x8cff4yLLroIXq8XLpcroHi2QBBthOAlEAgEgnbHkSNHcOTI EfTq1Qs9evSAoihISEgQaSYEzU6L5/ESCAQCgSBe6NmzJ3JycvDLX/5S+HgJWgQheAkEAoGgXdOzZ0/8 6U9/inUzBO0EYWoUCAQCgUAgaCGE4CUQCAQcTqcTM2bMgNPpjHVTBAJBG0SYGgUCgcCPSC0gEAiaG6Hx EggEAj8OhwMul0ukFhAIBM2GELwEAoHAj91uR0JCgkgtIBAImg1hahQIBAI/NpsN69atE+VjBAJBsyEE L4FAIOCw2WxC4BIIBM2GMDUKBAKBQCAQtBBC8BIIBAKBQCBoIYTgJRAIBAKBQNBCCMFLIBAIBAKBoIUQ zvUCgUAgaHcMGTIk1k0QtFOE4CUQCASCdsdZZ50V6yYI2inC1CgQCAQCgUDQQgjBSyAQCAQCgaCFEIKX QCAQCAQCQQshBC+BQCAQCASCFkI41wsEAoGg3XH48GHN5+7du8eoJYL2hhC8BAIdRUVFKCoqAgDk5uYi Nzc3ot8fPnwYt912GwDg1ltvRV5eHgDgwIEDcDgcAAC73Y7LLrtM87vRo0fjyJEjuOCCC7B69eqI252X l4d33nkHALBq1SoxkbQBqqqqsGzZMpSVleG7776DJEno0qUL0tLScPvttyMlJSWi4x0+fJj1kWikU3jt tdfw1ltvobq6Gi6XCx07dmR9PNh38cCBAwc0n8X7ImgphOAlELQQn3/+ORPoLrjgggDBSyDgWbVqFZ59 9lm4XC7N9q+//hpff/01fvzxRzz//PMRHfPIkSOaRUVT+mBpaSleeOGFiL8TCNo7QvASCKJM9+7dsWPH joh/1xgtl6Btsn37djzzzDNQVRWSJGHMmDHIzs7GOeecgyNHjmDdunWoqqqKaRs/++wz9u+8vDzccsst kCQp5HcCQXtHCF4CQRjwZrzFixfjv//9LzZv3gxJkpCeno6//OUvSE5OBmBsaszNzcXOnTvZ8aZNm4Zp 06YBAP7xj39g9OjRhqbGAwcOYMGCBfjiiy9w7Ngx1NfX4+yzz8agQYNw7733YsCAAS15GwQtxJw5c6Cq KgDgd7/7HSZMmMC+69WrF+699154vV4AQHp6OgBg8ODBTJtltJ3vw4DPpH7ixAkAvn46evRoAMDGjRux bNky7N+/H6dPn0ZycjKGDRuG++67j5njaF+l5OXlIS8vD4MHD8aRI0dMv+PbJxC0V4TgJRBEyJ///Gc2 YQHAxx9/jJMnT+Lll1+O+rkqKyuxfv16zbZjx45h/fr1cDqd+M9//oNf/OIXUT+vIHYcO3YMe/fuZZ// 9Kc/Ge6nKErUz71kyRLMnTtXs+27777DqlWr4HA4sHDhQvTp0yfq5xUIooHT6YTD4YDdbofNZot1c0wR gpdAECHdu3dHfn4+vF4v7rvvPhw7dgxlZWX44YcfcN555xn+pqioCKtXrw7QcoWiX79+mDNnDi699FJ0 6tQJbrcba9aswYwZM1BXV4fly5fj0Ucfjer1CWILry0688wz0bVr16gcNy8vD6NHj8b9998PINDHq6am BvPnzwfgK6fz/PPPo2/fviguLsaiRYtw/PhxPP/885g7dy5Wr16tCUIpLCzUOOsH+04gaA6cTidGjBgB l8uFhIQErFu3Lm6FL5HHKwKcTidmzJgBp9MZ66YIYsj48eNx4YUXolevXkhNTWXb+QkzWiQnJ6OsrAzj x4+H3W5HZmYmZsyYwb7/+uuvo35OQftk7969zHx5yy23YPDgwTjzzDNx//33o3PnzgCAHTt2BDj7CwTx gMPhgMvlgtfrhcvliqsIWj1C4xUmrUmaFjQvF110Eft3hw4d2L+bY0J64oknggr6dXV1UT+nILZccMEF 7N8///wzjh49ii5dukR0DCpARcLJkyfZv7t168b+LcsyunbtitraWni9Xvz0008Rt0cgaG7sdjsSEhLY HG2322PdJFOaTeM1ZswYdO3aFVdccQXb9vjjj6Nfv34YOHAgfvWrX6G2tra5Th91WpM0LWheLJaG9Uok kVqRRnUdP36cCV3nnnsu3nzzTZSVlWHZsmURHUfQujj33HNx+eWXs8//+c9/DPejwpXVagWgFfy//fZb w98E64NnnXUW+3d1dTX7t6qq+P777wH4/MrOPvvsUJcgELQ4NpsN69atw9NPPx33ipFmE7zuuecevP/+ +5ptN9xwAz799FPs2bMHl112mcZkEu9QaVpRlLiXpgXxCT9hHTx4MKRWwmKxsInSYrGgY8eOqK2txbx5 85q1nYLY8+CDD0KWfcPzsmXLUFRUhKNHj8Lj8aCqqgqLFy/GM888A6BBQ/bll1/iyJEj8Hg8pn2E74P/ +9//4Ha72efLL7+cOey/99572LVrF37++WcsWLCALZKHDh2KhISEqF+vQBANbDYbpk6dGtdCF9CMpsbM zExUVlZqto0cOZL9+8orr8Rbb73VXKePOlSabg0RE4L4pG/fvrBarXC73XjllVfwyiuvADDPMn/GGWdg 6NChKCsrw/fff4+bb74ZgC+dgKBtk5GRgb/+9a949tln4fF4NM7qlOHDhwMAbrrpJhQVFaGurg5ZWVka gV1Pz5490blzZ9TW1uKjjz7C8uXLAQCTJ09G3759MX78eMydOxfHjx/Hfffdp/ltp06dMHny5Ga42thx 6NAhVFZWonfv3rFuiqAdETPn+sWLF2PUqFGxOn2jaC3StCA+6dq1K6ZNm4Y+ffqErTV45plnMHLkSHTq 1AkdO3bEzTff3Ko0xYLGk5WVhWXLluE3v/kNevXqhcTERHTo0AEXXXQRbr/9dtxzzz0AfNaFP/zhD+jS pQusVivS0tKwePFiw2MmJCRgxowZ6N+/P5KSkgK+v/fee/HCCy9g6NCh6NixIxRFQdeuXXHbbbfhlVde aVOpJA4dOoTi4mKsX78excXFImhK0GJIhBDSXAevrKzErbfeik8//VSz/V//+hd27NiB5cuXm67M+BXe 0aNHRfSWQCAQRBm9r2p7cqF4+umnsX79ehBCIEkSbrjhBkydOjXWzRK0EdLT000rmLS4xuv//u//8M47 7+DVV18N6uiZm5uLHTt2YMeOHSKCRiAQCARRpXfv3lAUBZIkQVGUdiV0CmJLi6aTeP/995Gfn48NGzbg jDPOaMlTCwQCgUDAGDFiBLp27YodO3YgPT1duJAIWoxmE7x+//vfw+Fw4IcffkCPHj0wbdo0zJgxA/X1 9bjhhhsA+BzsaaZkgUAgEAhaiu7du6N79+648cYbY90UQTuj2QSv119/PWDb2LFjm+t0AoFAIBAIBHGP KBkkEAgEAoFA0EIIwUsgEAgEAoGghRCCl0AgEAjaNU6nEzNmzBC5vAQtgiiSLRAIBIJ2x4kTJwAAO3bs wG9/+1scO3YMCQkJcV/nT9D6ERovgUAgELQ7PvnkE3zyySfYvHkzrrjiCni9XrhcroCksgJBtBGCl0Ag EAjaLTSRqqIoSEhIEIlUBc2OMDUKBAJBGDidTjgcDtjtdmGKakP07NkTOTk5+OUvfymeraBFEIKXQCAQ hMDpdGLEiBFwuVzCD6gN0rNnT/zpT3+KdTME7QRhahQIBIIQOBwOuFyumPoBicg7gaBtIDReAoFAgOCm RLvdjoSEBKbxamk/IKFxEwjaDkLwEggE7Z5Qgo3NZsO6deti5uNlpHETgpdA0DoRgpdAIGj3hCPY2Gy2 mAk7sda4CQStgdYSACMEL4FA0O6Jd8GmuTRuhw4dQmVlJXr37o2ePXtG5ZithfZ87W2R1mSOF4KXQGBA a1k5CaJDrE2J4RBtjZvT6URxcTG8Xi8URUFOTk7Ujh3vtOdrb6u0JnO8ELwEAh2taeUkiB6xNCXGAofD Aa/XC0IIvF4vKisrY92kFqM9X3tbJd611jwinYRAoCMeUgeEg0gvIGgKdrsdiqJAkiQoioLevXvHukkt Rnu+9rYK1Vo//fTTcb9YFhovgUBHa1g5Ca2coKnYbDbk5OS0Sz+n9nztbZnWorUWgpdAoKM1+Pu0Jn+G tkJb9Pvr2bNnuxU62vO1C2KLELwEAgPifeXUGrRybQmhYWx7XHDBBbFugqCdIgQvgaAV0hq0cm0JoWFs e/Tt2zfWTRC0U4TgJRC0UuJdK9eWEBrGtkVbNBsLWg9C8BIIBIIQCA1j26EtmI2F4Ni6EYKXQCAQhIHQ MLYNWrvZuC0Iju0dkcdLIBAIBO0GajZWFKVVmo1bS55BgTlC4yUQhECo9QWCtkNrNxsLf8PWjxC8BIIg CLW+QI8QxFs/NpsN9fX1qK+vZxqj1iLAtHbBUSAEL4EgKK3dH0QQXYQgLogHhL9h60b4eAkEQWjt/iCC 6CL8awQCQVMRGi+BIAhCrS/gsdvtsFgsUFUVFotFCOICgSBihOAlEIRAqPXbF6F8uAghmv8KBAJBJDSb qXHMmDHo2rUrrrjiCrbtv//9Ly6//HLIsowdO3Y016kFAoGgUVAfrqeeegojRoyA0+nUfO9wOOD1ekEI gdfrFabGGON0OjFjxoyA5yQQxDPNJnjdc889eP/99zXbrrjiCixfvhyZmZnNdVqBoMmIwbz9EsqHS/j8 xQ+hhGSBIF5pNlNjZmYmKisrNdv69+/fXKcTCKKCiFpr34TKkSR8/uIHEXEsaK0IHy+BgEMM5u2bcAQr 4fMXH4hEooLWStwKXkVFRSgqKgIAHD16NMatEbQXxGAuEIJV60BoHwWtlbgVvHJzc5GbmwsASE9Pj3Fr BO0FMZgLAJGdvrUghGRBayRuBa94QgzC7Yv2OJiLPt6A8PMTCATNSbMJXr///e/hcDjwww8/oEePHpg2 bRrOPfdcPPTQQzh69ChuueUWpKam4oMPPmiuJkQFMQgL2jqij2sRfn7xQ2MWBGIRIYh3mk3wev311w23 /+pXv2quUzYLYhAWtHVEH9fS2vz82qqg0ZgFgVhECFoDwtQYgtY2CAsEkSL6uJbW5OfXlgUN/YKguLg4 5DOJZBHRsWPH5my+QGCKELxC0JoGYYGgMYg+HkgwP7940jC1ZW0lvyBQFAVLliyBx+MJKmBGsogQQVuC WCEErzBoj87WgvaF6OPhEW8aprasreQXBFVVVViwYEFIAbOxi4h4EqYFbR8heAkEAkGYxJuGqa1rK+mC wOl0YunSpWEJmJEuIuJNmBa0fYTgJRAIBGESjxqm9qCtbE4BM96EaYrQwrVdhOAlEAgEYUAnwoKCAtTU 1IgJsYWJpoDJCzXxKEw3pxZOCHSxRwheAoFAEAJhjooPoiE0GD3LeDPXNpcWTvTj+EAIXhEgVgoCQfsk Xs1R7YloCQ30WaampkKWZaxbtw433XQTpk6d2gytbhzNpYUT/Tg+EIJXmIiVgkDQfolHc1R7I1pCA32W nTp1gqIouOiii3Dy5MlmaHHjaS6fNtGP4wMheIWJWCkIBG2XUNrseIkebM9a92gJDfRZrl27Fr1790bP nj2j29Ao0RxBE/HSj9s7QvAKE7FSaN205wlLEJxwtdmxjh5s71r3aAoNNpsN9fX1UWxd6yHW/VggBK+w ESuF1kt7n7AEwWkt2uzmaOehQ4dQWVkZ15ofnmgLDfz1CwQthRC8IkCsFFonrWViFcSG1qLNjnY7nU4n iouL4fV6oSgKcnJyotPQVsKhQ4c013/JJZeIcUHQIgjBS9DmaS0TqyA2tBZtdrTb6XA44PV6QQiB1+tF ZWVldBraSqisrNRcv1iQCVoKIXgJ2jxNnbCEf1jbp7Vos6NZvNtut+Pjjz9mGp/kC3qg8tgp9D73jGg3 Oy7p3bs3FEWB1+uFJElITk6OdZME7QQheAnaBY2dWIV/mKA10Jh+arPZkJOTw3yc5E7noeZnV1wKXs2x +OnZsyduuukmvPfeeyCEYNKkSUhJSRHvt6DZkWPdAIEgnjHyDxMI4o3G9tOePXvi2muvZY71KiHN2MrG QYXKp556CiNGjIDT6YzasU+dOgVCCAgh4v0WtBhC8BIIgkD9wxRFEf5hgrglWv2UAKg4cjyqbWsqjREq nU4nZsyYEVJI6927N2TZNw1aLBbxfgtaBGFqFAiC0FocrwXRobX68zW1n6qEgBCAEKDO7W2mVjaOSINj GuseQOJQ2ydomwjBSyAIQWtxvBY0DafTCbvdDrfbDavVGhDlFu9CWVP6afVxXzJRQgAiRbNVTcdms6Gg oAAlJSXIzs4OeY2RpI+prKyEqqoAICIb2wHx8g4LwUsgEAgAFBcXw+VyAQBcLheKi4vZ4Nz2gyyI//8J SJxJXk6nE5MmTYLL5cKmTZtCOsBHoiHjIxuFK0HbJp7eYeHjJWhThOvb0dLHEsQ/1dXVpt85HA7U19fD 6/Wivr6+zTlhE/pH4s/BPlIfL2p2ffrpp0NOrj179kROTg6uu+66NihMh6Y9jXHxFCglNF6CNkM0VzT0 WPX19ZBlGXPnzkVubm6UW9x8GKnU40XNHi2aej387ysqKrB69Wr2ndVq1WRyT05OZiYpVVXbXM4n4pe8 CECVX3GDkQYrnKLmofoEr92ix6O/bQ/EkwaoJYinRNpC8BK0GaJZGohqOFRVhaqqmDhxYqvJ8WM0oAJo U4NsUycN/vfU1OT1NjiVp6WlafavqamBLMtQVRWyLKOmpiZq1xIvNBgb4wt94AAQ3b7c3gQQSnsrpRZP gVLC1ChoM0Qz9YPdbmdh5kCD421rwGhAjSc1ezRo6vXwv3e73RqhCwC2b9/ONCuArz8kJiZCknz+T7W1 tdG4jJhz6NAhbNq0Cd8d+RYA8ZsaY92qQGw2G6ZOnQqbzRb1vtzW3o1waY+pcvh+FEuE4CVo9VA/BQBh +3aEwmazYe7cubBarZBlGYmJia1mYDIaUJOTkyHLMmRZbhODrNE1RuKvwv/earVqhCoALKFmfn4+AF9/ eOihh0AIgaqqyM/PR1FRUbNdX0tAi2SvX78ea5a/ge+PHAZB/Pl48TidTlRVVcFisURNYGiPAggQmS+c ILpIpBUkL0lPT8eOHTti3Yx2QWvzA2puM0Frux8Uvt0AWrW/mhlG1xhJP9D7eE2cOBFut1uzj6Io2LRp E2w2G2688UZ8+OGH7LuRI0figw8+iPp1tQROpxN5eXlwu90ghECSJAy2XYvbxjwMQgiGX3JerJsYgN48 PGbMGOTk5ERsYjbyfSwuLgaAiI8nEJgRTG4RPl5BaK2TbmNpjb4Oze2nUFFRAYfDgeTk5Li/Fzy8c/GM GTPgcrmgqiokSWoz/klG1xhJP+B/73A4mPM8DyGEHatLly6a7/SfWwv0Pa+rq8Pw4cMhSRJkRcH53XuC gMStxot/1wGgV69ejfbrM/N95AMqBILmQgheJrRGIaSptEZny+aMVCkqKsL9998PAEzT0Ro1RfEUzdNc NPUaqSmWEML+SwjRmJiPHj2q+Y3+c2uBBo7wxo4Bg4ag+tsq7N25Hf1S02PYOnOa+oz149vHH3+MUy4v LrroIqiqioMHD7aKMU/Q+hGClwmtUQhpKq1xgm7OSJWSkpKAz/EueBlpaeMpmqepmGmhm3KNNEGn1+tl ptiUlJSAY6WmpmpMjampqVG7rpaEBo5QDR8hBJ+WbwcIwdxZMzFzaQl+eenNMW5lIE3tx/rxrVevXqg9 7caFPXpA9Xpx6NChuBrz2pvFpT3RbILXmDFj8M4776Br16749NNPAQDHjh3Db3/7W1RWVqJ379548803 cc455zRXE5pEaxRCmkprnaCbq6RPdna2ZqLNzs6O+jmiSTAtbVsoexRKC92Ya6S+TjR1CDXFGh2rc+fO QT+3FmjgyMSJEyFJEiRJ8pkXCYHb7caubaXAnfEneAFN68f68a2+vh5JJ+thG/5LHKk8iN/97ndx8460 R4tLe6LZohrvuecevP/++5ptzz77LEaMGIEvvvgCI0aMwLPPPttcp28y7TXiI17CbeOB3NxcFBYWYuTI kSgsLIx7bVdbD4uP9vXRyW3t2rUsP1ewRZY+aWpLJlGNdobx3NxcbNiwAddddx1sNpsvotPv6/X94W/a bCZz/fh25Ntv4dzwMb766itMmjQpbq67rb/L7Z1mE7wyMzNx7rnnaratXLkSd999NwDg7rvvxooVK5rr 9AJBVEhJSYHdbkdKSkqsmxKSxobFt5ayIdEO+6eTGxW6rr/++qCLrPLycpZyoiWTqFIB8amnnsKIESOi 9pxsNht69+6Nbdu2+SIbARCV4L03X4nqeeIVl0fFZ/sq4PV4QAiJq1JQ7TXFRXuhRX28vvvuO1xwwQUA gG7duuG7775rydNHhFD1ClpbH2iMqbg1XWO0TeF6d4K8vDzTYzqdTixevJg5pFut1habDKPhb2rmL1RZ WemLEiS+jPVerwfw5zBr636tn37xFT77dA/7HE+loGhfp2kuKMLvq20QM+d66ltgRlFREUtQGIvoofbo XN+aaY4BqTX2gUh9YFrbNUbTVy0SQc7hcGiy2w8aNCgqbQiHpvqbBhOue/fuzUomSZIMq9UKr9cb11qW aL3rR745BKJLIRJvqVaWLl0Kl8uFpUuXoqCgAJMmTWoViyRBcFpU8Dr//PNx5MgRXHDBBThy5Ai6du1q um9ubi7zqUlPb/nw5vboXN9aaS6tjd1uh8VigaqqsFgsbaIP6Cet9t7PzQQ5s/tEnfB37NiBESNGtMjk 11RNXzDhumfPnsjJycHeAwfRIbkb7H96GF/t2YY/3n5TXE7qTXnX9c+0W4+ekBUFql+gjrfqFPrnVlJS 0qoWSQJzWlTwuu2227B06VI88cQTWLp0KW6//faWPH1EtNYIv/ZIc2ptqGmpFRR4CInZpCX6eQNOpxP5 +flYvXo1y+PF36e8vDzmjN+Sk5+RgBiO5ocvsQPAULju2bMnEjp3wXcn6nF+/yHIuPJKnH2mtVmuo6k0 9l036vtdu12Im7N/hy/370XHRAumT58eV/1fvyjKzs7Gpk2bmrxIEubK2NNsgtfvf/97OBwO/PDDD+jR owemTZuGJ554AnfeeScWLVqEiy66CG+++WZznT4qtIUQ/PZAc2ltHA4HPH7HW4/HE1crzMYMnmaTVnvu 5/qyQ3a7HS6Xi31PHa7pPcrLy4vK5BeNdofS/OhL7IwbN860JM53J+rx9qfVuKHrzxh8Yee4LJTtVUmj 33Wjvn9hv1SAAB3P6oSB/S6Ju3fAaFHE55cDfBUbIhkDWpNPZ1um2QSv119/3XA7LdMgEESL5tLaJCcn syST8eR429jBsz2bFamAlZycjJqaGnbt/H288cYbNUIXEPjcY6Uh1AvaxcXFqKurY8W8jRYFvLABBC+x U3nsNABg1+HjSLvwbMSjgnfXtz9BVQmLjI+krqJR3393rQOljrUghKB82xaUlpbGXa1G/aKIfm7sGNDa fDrbKiJzvaBN0Bxam5qaGpbhuyXTB4SisYNnezUr0kmK+mfJsozExETcfffd7D7W19dj9erVAb81qm3Z 0hpCvebq5ptvxrvvvsvM37IsGwrRkQjaNM5JVQlUgriq10iFzhNSEgr++WTYdRX1wirf9wH4hC7/wsrr 9aKwsBBLly5tFVqgxo4B7XnxFU8IwUvQrglmsrPb7UhMTIy7QSrU4BnsmiIRGtqKLwidpHjtJdVs0fso SZKmSLYs+1IcxoPDNT/Jer3egPyHRsW9gcgEbRpfnmRVoBISN6ZGXuiEJIGoalj+dWYaIbr/jBkzQHQX GUx7GG80VoBqr4uveEMIXoJ2S1FRESZOnAiv16txouYFjngcpIINnuH6/oTjlN1WfEH0EYk0Q31OTg5y cnKYCZIP1S8oKGAmyVhfN20/NS3qIYSYCgvhCNpbv/4Rn3z7EwCgg1WGV1XjJpiEFzolWYaiKJAkKaSw 4XA4UO9yQTXQCB05Xud7tz/+2Hdc+DSbrSlZaVMFqKqqKpYjLNb9uz0iBC9Bq6cxmhmn04kHH3wQHo8H ADRZq/UCx9SpU5ur6Y3GbEINZYIIV6CKV1+QoqIilJSUIDs7O2gJJzMzE+/jRa+HCtvUdygtLS1uhC5A m0xzyZIl8Hg8kCQJhBAWedkUYYEXshZuO4TTbhW5V14UhZY3HV6zY7Em4IUXZuGn2mMhn43dbofVmgAP XLDqhKlvfzqNK6+8EhnX/hJf7NuDMzuehZT+fXH99dfHzTMPh8aYvJ1OpyaAZMmSJVi/fn2ruea2ghC8 DGgrJpb2QFOcTHkTjaIosNvtcStwhEsoEwR/fXV1dSguLja8vnj0BSkqKsL9998PAKx4uZHwZdQnKCkp KSGj/yRJgsfjiStNH51kqYaOPg/9ONWYsUuRtYmsP/z8KMYN6xXV9jcWm82GVe99gBVrPsIVQ6/C0GFX om/XjuiYGHzquvLKKzH3tbfxydYtuOWGEexeEL8ZtbTUifkvPgeP2w0AeCchAatXr46LZ80T7bnI4XDA 7b9mAHE9xrXleVgIXjqCTeThrrYFLUdTnEwTExNRX18PWZYxZ84c9jsqcCiKgqqqKjidzlbz4ocyQdjt dpapnBCCBQsWIC0tLaA/x6MvSElJScBno/dQ3yeKi4tZBnAjYUrvQ0W1SfE4KRlFuVGoNsPtdsNqtWL2 7Nmoqakx1PLx6AUvwOdcTwgJWl2kpUgfdiU69bkCdW4VKiE4We/RCF4/13twpk4QIwS4YnAGrhicgd7n nqHZTgjwsWM9fjz2IwCftk+SpLh71s1h7vdpAq0aH8d4WFTpaUuuDkYIwUuH2UQe7mpb0LJE28lUb9ZZ sGABFi9ejDFjxsRdqLkZwUwQNpsNY8aMwfz58wH4orkmTpxoqAmKt/xe2dnZ7N2jn43Q9wkAQYVzXhgF fFoR6gcWj5OSGcXFxWxCdblceOCBB3waHi6S08h3TdEJVwRUHIkffAITwe4dZXh7dxlG33Q9a//+708g 7cLOGgGSwCc8VuzcjlV7ynDrjb796fZT8hngrzIeK1M0h/bdZrPB4XAw/654HdNau+UhJKQVMGTIkBY7 V2lpKenQoQNRFIV06NCBlJaWEkIIGTlyJB2PCAAycuTIFmuTIDilpaVk+vTp7FlFg+nTpxNFUdjzliRJ 0x9aM6WlpcRisbBrk2WZTJ8+PdbNYgR7noWFhWTkyJGksLAw7GOYvdM848ePJ5IksfsxcuTIuHvWofr5 +PHjNWMUvR7+s9Vq1dyH9evXk5deW0nsU+cT+9T5BJNXkfOeep+s/fx74vWqLXyFxtSecpHS/9WQ2W+8 SxKTAp9j2dfHyIk6N1FVX3t/rneTHVU/kvlvvU8SkzoQ2b//li1byPHTbrL5qxoydvKTRJJldl/Gjx8f y0s0JJx+21aJ5NqbY/yPBsHkFqHx0mGmCQl3tS1oeZpDM6OPJCNxanpqDDabDXPnztVEdMbLaj+UiSEl JQU1NTVISUkJehx9nwhlNk1LS4PFYmH3Iy8vL66eM5+LTJIkjB49GlOmTNG0MScnB0uWLPE5olsskGUZ LpdLU/aKVmLg+7Le1Hjq5AnsLd8O+yWjWvQag6ESYNe2UrhdLqhqgxZk8NAMqAT47PsTuOicM/BlxU68 9+E69B44FOVbN2v2f/+jj5HQsz8IIRiYcRUsFgs8bjcs1tA5wWKBPiiEBv80xZ+vtRCuq0NrNUkKwQuB HdhoIqdmReHj1T4wiiRrbaanYOTm5mrKj8TLYBXMxNCUQTaYcO50OjFp0iTm33XjjTdG7XqihcPhYOkw AGDFihVYs2aNJiLNZrNh/fr1Guf7vLw8fPTRR8xfixZ9p325vr4+wNR46sRPmHLPn5B24Vpce83VLXqd ZqiEYFDGVbAmWOFxA9aEBKTbrkHFkePMb6ts61b85rZRLALyob/9q2F/awKuujbTnxwWujxl8WZYbYA+ W6NgkdYocERCOAvq1mqSbPeCVySDeW5urhC42ihGq0ejSLLW8FKHi9nAFsuVdDCfPaNBlm5vSlv1Qs3K lSvxwQcfxNVkZrfbWRUFitFEo3+m+tqSeh8vh8MBS4BzvQS3240NGzbEheAlST7Bq1/qULxQ/Db27iiF 7ZpMpGcMw5c//AwCApVIKN28kSuR5MJPP9bgheLl+HS7E0OvugZdLxsIt9envd5dtgVdu3Rh/m8ff/xx 3DxrPWb9vjUKHNEmHqOvw6HdC16tVWIWRI9Qwne8OZmboReY9AWgwxFQYq26D2Zi4AdZRVFQVlaGadOm hZ36wUyg5GtyAvGZwZyahydMmMDaSghhdSTNri0ck01AVKMEWK1WZGYOb74LigCq0VIJweVp6UgfNgxn WBUADdorCcBV12Rqcn6lDrsal6cNRdrQYUhQZHhV4s/KTzBw6FU4VFEG1euFrCjo1Ss+0mcYYSZctEaB ozGEqsQRb9HX4dDuBS+zTt2W7ecCLa1V+NYLVrzAVFBQwDKxh5ubyul0Ii8vj2l/YnUvzARdOsjm5+dj 9erVWLlyJfNfiqSEjKIomihVviYngLAyo8eC3NxclJeXs4hUWj+0qQsHvanxjI6d8M/Fb2GY7crmuZAI oZGIVPii+V59aT98AiiRgF9cMRir3vsAGzdsQI8rhuLSgYM15Y927yjDDudmXD7Uhv6pQ1F322/w7aEq /OIXvdGzZ8+YXV8ozISL1ihwREo4C8HWsjDmafeCl1GnjvWqX9Cy6DUprSF3l76P8gWfXS4XSkpK2Gde Q2ImoBgVko5H4QMA3nnnHZb6AQguKFHhtKqqSpOriy+IbOdqcuqFsngjJydHk5PM3sikv06nE8XFxejY sSO6X3qF5rsOZ3ZE34GpzXgVkUGo0AUCFRJUQlDvUXHwh599ghh8Wq9Tbg/OuTgFt1+cgjqPF/Ue1e+9 RbD7k22YeNev4Ha5YE2wYvrit3B21wtwZvL5ICdqsGnTJiQmJsblMweMhYvWKHBESmtdFIei3QteQGAH 1j/s4uLiNr+yaM8Y5e6ik3K8Pm99HwW0pofs7Gzm26PXeBkJKPR4VOi6/vrr4y6yDzCuODBu3DhDQYmv xWmxWJhjOY1SpWWi7HY7KxcUrwIXxUz7YWZ2MtLc82Vj7HY75M+/Aq4YqTmP6jfvxRpCiN9E6C9t5G8X gS+n1/bSzRiYcRUGpWdAJRIUqUEr5t8dKgE+cW5hEY5uN7CnrBRp6Rn4+vB32LP+Hah1JzFjxoy4fufN aMvWmdbqwxUKIXgZoNeA8FFtrfHFFISGOhp7PJ5WIXDrByS+4DNtLx+1CAT38dIfLx6FLiCw4sDcuXNN ywbxtTg9Hg9yc3NRXV2NFStWAABUVUVtba1GcxhvaQWCBX1QzIQxM/OqQ1c2RvXfI4oiS5Ck+Ij1+6a2 Dt+drAMB4FX9AiF8ZsMJv7sdHrcLFqsVL766EoOHDgMkaCIXCXwC2OArr4Y1wQq32+e/lpJxFY58+w3K fwRwZjJw+kSr0agEczFoa/NTa/XhCoUQvAzgH3ZVVRUWLFjQ5lSdbZGmrvxak8DNa+n4bcF8e4L5Pzkc DsOs5vFGuAOxkWaMCh2rVq1imr1du3YxzWF9fT3y8vKQl5fHjhHLe2FWc9LMiV7fTl4ryptXCwoKNGVj FAnwQotVkTXFs2NFvVeFSgCvqsLjd4wHCN4rWQa3qx4A4Ha58P7yZUhNzwAgMY2YT+jyXcMVgzMw6z9v Y6dzM/qn26CqBNs3fACk3AgQNW79+vSEcjFoi/NTWzSpCsHLAP2KQu9TIYg/IpmkzGiNAjftm401jVJz nMfjgaIomDt3blxeJ084A3FycjIURQEhBIqiaGpxUn8u3iRLfds++ugjrFu3jjnbGwndLWXaMXJ5CFZz Ug9dSOiTANfU1MDhLxvTsWNHXJEyEP/32Sndr4mhqbHO7UWSP6KwJZAAqCrgUQlUlaDO48WZCQoICawh SZ3vqalx784y7CkrxdCrrkHa0GG4PG0oLhs0BKddXrxe+CJU6nVPCLp37x53iysj9H2iuroasuwTktvb /NSaTaxC8NJhNIG3RVVnW6OpkxSFTupOpxOLFy+GqqpQFCUuB7SmOp4ameMmTJgAIH7rkIYabKnT+JIl S+D1epkwSa/HSGOWkpKiSTRKNURAYLRkSwbe6M2/tD3hPm99FKiq+jQ7ycnJrJ87/Dmh8Nnnul9LuiSj vmLU+78/gfSe50TvIsPASwhcXp8w5VF95sObs3+Ld9561Z953oobsu5sqI0EgoqdZXhizK/hcbnx+vwX 8OIrK9Bv0BCoKuBWCfoPsaG68gv4w05QXV3dotfUWPRa+TVr1sDr9UKWZRQUFLSb+am1B8AJwUuH0WQ2 derUVvVQ2yNNmaTMJnPJH2ZP/xtv2O125jDemCK/enMc4PN7MiuaHWtCDbb0e6rhAXzPrqamRnMcIxNs Xl4ePv74YyaEUvRCd0tGWemFRKBx2vcPPviABRV4vV5MmjQJAFBTU4MePXoEpFLwqARer+o36zUQmPG9 +ZEkn7nQ7VUhAZAIUPHJdlRsL8XDf5+Bzz/dw5zofVo6iZUX8rjczJm+fOtm9B00hEVBXjpwCL7a5cT/ AICoUFU1brXaPEZaeSpQ6/t5W6Yl38PmQAheOoJFUbRm1WZbJ9JJij7L5ORklu+Kn8ypAzIhBG63Oy5f 7IqKClZ7z+PxoKKiIqI2Ukd1XlABAK/XG5fXG2qwpd/zQldCQgJqa2tx4403Bi31ZbM11K+k91SSpACh u6WjrPRCYqTad/09IYSgrq4OEydOhKqquO666wICCo6dcuMv736Gpb9PReqFZ2sSrLa025cECV7adgCf 7dqBZ8b/Fm6XG4rFZ/L0erxYu/INvPjK20hNH8YSpFpYuSArBg27GoQQ7Cvfjh1bt6D3oGEg5/0C+JlA QqCAHc/wWvn26gYT6XsYb3O3ELx0hBMhFE+qzWh3qHjroJEQ7iTFpxmgvjz6hKF8NnNVVVmG8HihqKhI k8Xc6/WGpanSP196j2prazFr1qy4K5rNE2qw1ZthxowZg06dOiE/Px8AWJF7M+GL1q/My8vD2rVroaoq PB6PRsAL5tzfEu9OpI7G9J6cPn2abeOLZXu9XmzYsAHoOlTzu73fnYDq1zQpsoLTbi++P1kfoAVrTk67 vXB5VeYsDwB7dzjh9muyiJvLT1evYs3yNzBwSAYIAfqlpiNvwZuo2FbKMtjv/mQbMz9ixHhkpvsKrfe7 /HLYLrsJADBjxoxWM/ZFI+KvtY73kVx7sOTJMYO0AoYMGRLrJpDp06cTRVEIAKIoCpk+fXqsm0RKS0tJ hw4diKIopEOHDqS0tDSujhePlJaWsucIgEiSRKxWa8A1T58+nciyTAAQWZbj4nlTSktLicViaXBp8f+F ameo51taWkqmT58e1889VBv1348cOVJzj0aOHBnyOI15D1r63QnVfv67wsJCIkmS5j4oikIkSSJ2u933 N3U+sU+dTzB5Fftz/u8YqXd7CSGEfPXDz2R71TGy+auaZr0unu1Vx8iOqh/J2gPfk9d2HiKv7DhEpi1Z SRKTkoisKMSakEAU7j2wJiSS+W+9Tz4+8D15Z+8R8taub8mynd+Qt3YfJo4vjpIxk58ksux/90c/wa55 1isrSHFxcZsf+/S0h/GeEEKysrI0fV+SpBa53mByi9B4hUlLmxjCIdp2bv54dXV1KC4ublWroHAoLi7W ZD2XZRlz5szRpFFwOp2oqqpiUXFWqzUunjfFyDdLluWQmqri4mJmVgynwHK8YLQqp07h+vbqryE7O5tp ugAgNTUVEyZMCJoqpDGahJb0OTHTvvOBBfy1lZeXh04NsW89MOA6zSYvIUzTBKAhiWkLoRJAlhqSpgIE lwwcjKcX/hdflG9FSsZVeH/5G3jvzf8AhMDr9WDn1s24dOBguL0NpYJACD4t347vD38D2aL4cmdwJmRZ AiorK1uFz1A0NVSt3U8qHIqKiljePorZ+NeSCMErTOIxkVu0hUG73Q5FUeD1ekEIwZIlS2Kvko0y+uil lJQUjdDFp1cgfj+flpxswoH6ZtEkopMnT0bnzp1DRvotWrSIXYveGT9eTQ56IYOvQRmOyZ+aFUtKSpCa morZs2drfNrMBuDGmvRaYmFmNGECCAgs4L/TQ53tKfKJozgvEUB9wz4eVeXqItJ0Dc1wQRw/13ugyBKS rAoIAXZ/UoYtmzbhx17D0Pn8Hrj+svPQJ2UIqisPYOnsmTirsy9tiKqqsFqtSB12NQgB6jwqZEmCCoIP 33oVi5590h+hbMEvs/6A4+lXA8e/8V+bhN69e8fdwpoSyh+1scSjMiHalJSUaD7LshwXOduE4BUB8aYR iLYwaLPZMGbMGBQWFjI/kNa0CgpHeOjWrZvm8549e7Br1y4oioJHH30UL7zwgiayjfj9YOLpPjTGv0Hv QD9q1CiN/+J1113HBuD169fHzbXyQkZ9fT1mzpzJcm7xCU9DCV+5ubmYMWNGgPN9sNqckQijLbkwM5ow 9U70AFjqCLvdjsWLF7OEqbIsw2KxsOABSZJwzS9vQOfe3VB6MAnf/FQHAPCqvL6LluIhbEESbX467caX P/wMAoLU7mdjzydleMhfX1Gd9DZw6BuMuPQ8/KfgGaxc8rLmt4piwYN/+xcGpKXD7fVp6ggBDuz+BItm PAmv158yhbjx3bdf48x04HN3ZwBApwsuwojLusTdwhrQLjwkSTL0R20s8ahMiJRQ76he4/3YY48FXaS2 FELwauVEWxg0KsIbr9oQnnCDH3JycrB48WK43W42kAE+5/SZM2cG7B+vxaKNnjvVbAENNQeNJmQAWLNm DRM2iouLUV/vU3XU19fHlYmZChlU2Pryyy8BgD27tWvXYtOmTWGt/vXO9zfffDPWrFljWJuzMcIoH20W LSdts5JBweo1Ui2tqqqYNGkS25dqTaiGFwCWL18OADj3vC6QZQlDe3XGNxU+rTDRmRZpCZ46j4oOuiSq XpVooh8bg6+uou98h2rrsHPrZlZfkbJ/bQlW/d98g98S/HTsGECAvTu3w7llI/oPsWHfjlKtWZ4QfLpt M6Rzh0LtNxwA0PHcLujevTu6d+8eN/2e4nA4WN+XJIkJzKHGpHDH7HhTJkRCOGM+r/EOFtXc0gjBSxAA XzAYaB21wMLxV6CCyc0334xu3bpp6vYBYP5cNNqRmvCSk5NNfYpigdGgWlRUhAceeID5ry1atAhjx45F Wloam5CBBhOTy+VCfn4+MjIy4jp5JBUyJk2ahLKyMrb9wgsvxOHDhw1X/2aTjl5gcTgcWL16tWGf0Quj +fn5ePvtt0O2N5rRz8GOpZ8w+WsrKyvDypUrNb4s+lyETqcT+fn5+OmnnwAA5bt24dpbfo2OXXuwfby6 QtnEnxV+b/VxpFzQCYn+dA6nXB7s/+4khvTs3Kjr5KG1FX/4uR5pV14DxaJAdTUIXs/+7TEQogb8TlYU 9E+3oWJnGabcmw2Py5dY9a7J/4A1IQFut8uf7Iv4fq82aLWVZtDeRQs+upoQgkceeSSkxiZeI/CjTbg+ alTjDcSPS4UQvAQM/QtLa9u1BgdMO5dMVJblAPOR0+mE3W5nAkhiYiL+/Oc/s3QSdNtLL70U4GgfT4OY WWmkBx98UBM04Ha7UVhYiKSkJFaDMTk5GQ899BDTgK1YsQIrV66E1Wplvn0WiyXuCkXbbDYMHjxYI3j1 6dMHNTU17D4kJydjxowZQf1gjAbdcH1cVq9ebWiO1BPN9yXcY/GazrS0NLz33numvnx0f/ou0O9Urxc/ HPkGid2vZPupnKlRAnWub/gvxav6s8t7VCRY5EZdK4XQcwC4Im0obvn1H7DivQZTkfrnt6G8dIevrxPi bxkAAri8Kvbt2MYSp3o8QAfvKfx1/jJ89slWdDz7HBQ/9w94PW4QSOzaqKYuXiZlnpqaGjZGybLMhC5+ Iahvd6h+E4/X2Rgi9VGLp7FcCF4ChtEL25ocMKn/CRU6lixZwkxEDn9CVEp9fT1mzZoFwJc8cfTo0Zgy ZUrAixhvgqfe5ykvLw99+vQJiHIEGpJllpeXY968eQCA8vJyzJ8/X7OPy+ViTqeK4tNixHJwNjp3Tk4O Fi1axJ7htm3bmJDMC1u8H4y+6LWRwMprd/nrzMnJYbU6Ad99CufZR/N9CedY+gUFjcQFfObYe++917BP 8+8C3fe8C3rgG26bCq15mhDCNFJ6JREhQMURnyasscKXhIZ6i7JfMLrpjt9iRbc7NPvdPeUZHPpiL9Yt fw2q//l4PG6sX/lfjLrjt7BYrXArZ0Lu2hunf2HDJSlXoN+gdABA7Xn98OO3/4O76yXYWO17ZxRJiqtJ mcfuD6ThFxjBgk0KCgpQVVUFi8U3tfOLEtp/4vE6G0OkPmrxNJaHFLxmz56NP/7xjzjnnHOidtIXX3wR CxYsACEE48aNYyUsBM2HvvC3UWc1GuhbiwOmw+HQaHwIIRp/JbvdDqvVqnEwppGLiqIgIyPD8NriTfDU +zytXbsWFosFVquV+a1dffXVcDqdLPM+H52ak5ODhQsXBpTGoYKb2+1udJ3LaGA2AdpsNowdO1YT+FFT U4OpU6cyp3lqIqbCI+8Ddvfdd2sGXf016rV8NpsNjz76KJ577jkACDupbDTfl1DHcjqdbNKleL1eWK1W 5gdkpL1MTk4O8PkbNCQDyedfgG94ny7V56B+st6Dn11eVnzaKImqVyW+yEcEfhcJqj+FhddvFhyQNhQo LdXsk5n1e3z4n3lQvVrfLceqNzAy6078bf4b+HuFBA+AJV948Mt0sFa9dUgC0AfZXboCfhO7LMfXpKyH Xxzo21lSUsLGAr4igaIoGDduHNLS0jSCmf49iKfr1BPO4i8SH7V4GstDCl7fffcdhg4disGDB2PMmDG4 8cYbmxTR8umnn2LBggUoKytDQkICbrrpJtx666245JJLGn1MQXD0mXslSTLMYWQ20LcGB0z6UvEZunmo 1qu4uBjV1dV499132arfYrEErAp5J/VoC55N0SbRZ6TPrp6eno7BgwczAetXv/oV81/jo1NtNm1pHD7A AAATWmI1OAebANPS0mCxWFjxa2pOtvvToNCalbNnz0ZJSQm7P1Qw4etahrpGp9OJ2bNnA0DEBYij+b6Y HUuv6aIYmcv1lJeXB2xLSkr0jevc2K4S4KTLg29/Og3JXzRbJSTA1Ojb11cnsakQ/3kl+AQ5IyHvDKuC jmefA+iEPK/Xi11lpbj1ngeBip1su+vQPqxetx4D0m0AfNo4WZZwluS7d966U7jyyivjZlKm0HGbpo1J S0sLEB5SU1NZ1B5dkFChulevXswcT/s5oDWv8+NePI3xzaGBjCclQkjB65lnnsHTTz+NDz/8EEuWLMHE iRNx5513YuzYsbj44osjPuH+/fsxbNgwnHHGGQCA4cOHY/ny5ZgyZUrkrReEBT+Z8Y6arSmJZijoS0Xz VXk8HlitVuTk5GgEnXnz5mHGjBlYvXo1AJ+JZdSoUWxVSE01VCij5sqpU6dGpZ3RGFBsNl9R502bNrHV 7o4dO1BRUcGu97333mP76/18aGkch79UEC2pAwCPPPIIsrKysHTpUtTX17OUBM0J/3zMVqVUu+P1elnU 3oIFC7B48WLcfPPNGvNaSkoKuz632w1FUZCWlobFixcD8PV9PujAaKKl74xRAeLmNsPyeZv0/ob0vEbm woyMjIgERIokSTh54gRqqg8D3Xux7Soh+Pan0yyRKc3hRU2OAPDjKRf+d+wUE8oai8er4pTbC8DnwC9B 8olIBofs2jERX+3/1Pdh4CjAmgjsXAmLxYoBQ64M0LpNuCsbnvo6WKxW4ME3AQBrdlciPdH3TL8/uA+/ SD4zbiZlioOLaKTF6zds2BAQIMLnGiSEBERi8/08JyeHac6inRcsmjSXBjJe5rewfLwkSUK3bt3QrVs3 WCwW/Pjjj/j1r3+NG264QTNoh8MVV1yBJ598EjU1NejQoQPee+89pKenN6rxsaA1Oibyk5le4xUPK7to QV8qOrCY+TToJ/du3bppBFPeDBNtjU+0BhQjzRefMJOaXc38fOi9mjFjBhu4JUnC8ePH4XA48NBDD7Ha jZMmTQpZA7KxGAmiRhOgXhCiz8nr9WoiU6l2z263M828JEkoLy9niYG9Xi9qamrYeYyiVoMJgM3pI8Nr OahDtcViYakv6HtbUFCgMZ0nJiaGLXSlpaWxYApKxa6dkCt2o+PNF4A6rKvwOc77NE9U20U0GexrT3t8 +b4IgUqkRhfR/vrH0/jxtItp0wh8/dFImPPwWVyvnwAAuNx7CHf++e+4dGA63Dp/R9eE14HCe+B2/cy2 nUQi+7fs7yfxMilT7Ha7JviH5hPUR6gqisJcByRJwvXXX6/JbWdmxeBN9PFmdowns2BzEFLwevHFF1Fc XIzzzjsP9913H2bOnAmr1QpVVXHppZdGLHj1798ff/nLXzBy5EiceeaZSE1NZeYNnqKiIhQVFQEAjh49 GtE5ooVeyIpXB8xQ6FWsgLGPV1uBH0CNBpepU6cG3A/q76PXeBlFhTWFaA8offr0gdVqDRCkqVnNzM+H wvv7EEKwcOFCJoRFM1mjGUaCqNE9MVo8GOUno8/L4XAws4vH40F1dTVkWQYhROO/SI/tdrthtVo1Jlmq QQ3V3mjeF17ABMDuPy9culwu1NTUMNM5EBgcYAbVHPLmZXoPVa8XX1TsBM4d4j83CRCkCGgQS8M2lfii GhXSeA8v6rTP+5ApkBAYMgIcqj2Na27Nxvp33wYVHff+8h+4dFAaVEKw/7uTgT+6cADIrcZWlSZ4zjQr vFuAWfF6o330CYVpf+bzywEIcMKPJ+EmnsyCzUFIwevYsWNYvnw5LrroIs12WZbxzjvvNOqkY8eOxdix YwEAf/3rX9GjR4+AffjcG7HQiBlVNAdi5/vSVPSrudbS7mCEo33UCzq8TwOdoO12u0b7sWbNGqxatarR GbqDtStaAwqvGZEkSROV6XQ6NcKUvl28CUvv70NXztRJvbnLaxg9HzPner2wXFxcrIk81Gv3eEGNaosk ScJDDz3E9ikuLmZaI+p0T7+rqKjAokWL4PV6WYLV5lyJ0xqhFouFJUDVo38evXr1Mu1HZjUujQRWijZT vU+gskgSvCphmiaVE7AkqUFg8hICtQk1hagmze9XD0KAn+u9Afvd+8ZujO0DeB94TbPd6yX48tOdeKbC 4J29sL/peeVGvOMtBe8WYPacw9nHzM+XOuHHY2m4eNNARpOQgte0adNMv+vf37wzB+P7779H165dUVVV heXLl2Pr1q2NOk5zwq9svV4vCgsLYbVa43aF0N6IRPtIo4L4CB+jIAO73R5QXifSckHhtCsaAwrv/wEA 7777LvOTdPgjPPlyRwAMTVi8uYkiSRIzXQVz0o4GeoEqmEbJaPGQlpaGBx54gNXqS0tLY4I1PW5VVRWK iopYupFZs2YhKysLNpstIHks/ex0OvHggw8yQbS+vl6jLdVrwpqKfmK87bbbNAEg9HmNGTMmrMTGZv2Q Co5836HIioLLBg7BZ/6cEp0SFf89k0BAcNrtRZJFhgroNF4NDvf1XhVnNHLBQohW80VAUOcJ7J8AsKRw LnDDQ5ptB/Z8gn8/8Hvmx6UhbbTpeb+vPoIenftE3N54ItSYop/PeL+wXr16tVkBx4h4cBeKSR6v7Oxs 1NTUwGq1Yu7cuejcuXMsmhEUOkDRSZhOYuPGjQu6yhS0DKFMPjSp5JIlS5hwBTRoLI2CDOj3vKN2pAJ2 c5qi9E7oRv4fNpuNOcPTvFzJycnIy8vTTLZ8tB9PQkICm9xbqn/rJ43GapQIIXj44YfhdrshyzLmzp2L qVOnwul0YuHChezaqR8YABw+fFhzDFrL0+FwBER78m2hpml9qaHGwvcbADh16hQ7vyzLAX47RiZ0epxg Aiwv6CYnJ+O7777DGWecgUPfHsbJeg8+/74agL+eqST5TIj+uocelcDrrxt04OhJXHLemb7cW2jw/fpf zSm4zk5Ct05JEV2//jjEnxzVY2RrBKBeMTJgW+WnO+A26NOhqD58COgXn4JXsIVcJAKE3R/5y+eloyWI 2rICIV7dhWIieG3atCkWp42Yu+++G/v27cOWLVuYb0g8qmTbI8FMPkaFofWh1GZBBvz3jRFAmssUZTRg 6H07kpOTMWHCBGYeA3wCGRVGqGM6jXwCoBEuBgwYgIULF8a0f0diiqVaKXqtfJSfqqqYMMHneJ2bm4vf /va3ePXVVwH4Jp0333wT06ZNY7/R572y232JK2ko/5w5czTmOr5Qt5HQH+mKWt9vsrOzsWnTJvZZ77eT nJys8VnjTbS0DiU1WeojU3lB9z//+Q/27NmDT/fshterYvMX64DfzgAA7C/fjtT0DBCZ1mkkqPOoSLL6 BKSTLp82kDnE+/2zvI30sFdJgw8Z4Dve3urjxjtf0Ddg03+kYZB7DYzYz+zCC3tG+IuWwel0ahZMdXV1 rMxXuBGJfF8cM2YMy4MHNCScbgsYvXNGY2Zz+2iGi8hcz8H7wEyaNElTnFSWZdx4442xbmKjiGQiiAc1 bDgEm6CN/FgkSUJaWlpAxKP+9031v2oup1CjAWPq1KnMt4P2WV7YBBAQqTl06FDY7Xbs2rULdXV12Lhx I9s3MzMzLp55uKZYvVZKDw3BB4A33nhD892uXbvYv400SsGeI18/T1VVjVDT2BW10fnM/Hb41Bo0xxif r8nr9WLlypVscUGLZesjU6lWWJNM99u9wJfbgAsHYM/2vRiUnqFxqFcln2BFXbkkf64tFb6oxia4eAF+ zRrNjP/1j6cwfd2XER1Bzf5nxGf9seYHAPGl8dJHtwJgZb5WrVrFtN3Bgl/0fbGgoABJSUlNcqWIR8ze OaMxszl9NCNBCF5++IfHR3QBYGbGlStX4oMPPmg10YxAZBOB0Yva3D4+TcFoguYdlAEwDQ+dfNatW6fJ yWWktqemGvp9pMJocziFmg0Y9FzU9KRfwdJSQFQrVF5ejt27d2t8h3htLl/3L961u1QrpRc2ebxeL0pK Sgx92YAGfza9Rgkwf476+nl8jq+mrKj58xmZSHi/Mn2OMSNTEv/v+vp6TJo0SZNk1+FwGN+X49VAzxQM HHqV35eroVQQ0BDtSD8T0lBAmxBAovUTI4TVggSB6iX4qc4T+kdRYP+ne2C/KiOuFp28VlUP3SZJEnMn MBIg9H2RplB54oknsHnzZgDx7asc7vMwe+eMxsx4iZYUgpcf/uHpy47Qydss6Wg8E8lEwO9bX1/Pyk+0 htQZep8uGq0DAAsWLAhYGepLKJll9tfXQovVfTCK6uMzTvODjKIouPLKK5mJHGgQQPnM1hRFUfDSSy8B 8Akz1CzL17qMFWbJRIHApLn6hKIAYLVa0aVLF0PBzGq14pZbbmF+XeFit/sKsrvd7gAfmWisqI0WQLS4 OQDN+ETNjA6HAzfffLMm7QR1yKdCWllZGcrKythztdvt+Pjjj9mYd3H/K5D2y1vxwbEzsU8+A8c6XwyP X8iiubrAZbD/7kQ9AN+/PSqBJJFGlQyq93jhUQnLE+bxErhVgnozB69oUrUHHc88E4cOHcL9998f8/ec wmtVAV9fpdpr+lypJtvj8aCioiKgvUZ9saKiQqPl5iN8m0o0BddIFAbBFqXxWolFCF5+9A+PanuSk5NR Xl7OsqG3NmdE/YRMy6wYdTx+XwBsko53YdPIpwtoCLXnc3TRCDez+mV8xI/L5auFFmufAH5Ao87iRoOS Pjpwy5YtbKCWZZldm75MkKqqLC8UL7y01PWaDdhGyUQTExMDylzZbL6kuU888YRmUgGAYcOG4bXXtGkH MjIyMHjwYBblWl9fj4ULF2Lu3LkshU0o+OSsPNFYUesXQDNnztQEQtDFoL4Wn6IoSExM1AQXHDx4EDNn ztQcnzdV5+TkYM+ePSCEoFuffhh206/wzab/Yd+eI3hm7Rd4Z2wGAMDtJThw9Gd07mBBx4QzmSO8LPmS prq9BAqX3T4SKo4c92nJ/L/1+tVpLZHkQTryGQb/7i5UVlY26T2PtraspqZG4485duxY9OrViy1AysrK mJCtqioeeOABwyTHfES3w+HQCOaA1uTeFKLttB5MYaC/18HeuXgQsowQgpefYA/P6XRqyo1EQqzV17xW YMmSJViwYIFpJJZeg0DNEPEubNKXVB+NmJycjOLiYuabt2bNGixYsCAgOSiAADMNLbuhd3K22+0t+kwj cRDlnb+Tk5NZ2gCgIZO9kemCXw1TAY3f3tLXx1+HUTJR/aRItZ11dXUBx9cLYoqisAzvM2bM0JRk0U9e Zto2h0ObnFXfnqYO9nQBRNv25ZeBfk6EkIBafACYlpfy/PPPG2o4+ee6a9cun9Zr926cdX4PJFm7su+8 qk+Ycqsqnl77BQCg5J70Bkd4+L73qD7fr8Y4a6sEUPy+Ym6vCtV/zq8P7AOaWfy68Ve/Q7fuPdApydpo TWVzRMrxiY1VVUWnTp00LhI0cISiqiqKi4tDavH1C4Xs7OyojGdNMbEboVeE0PyLZkEF9I9PEhuPAhdF CF4cZgMm9YXg8yKF81DjJXSVnyyCpV+gL1+vXr00fgRGJWfiCb1W7+abbwYATJw4kWlwaEZ6qjnhk4Om paXhkksuwb59+9gx+/XrxyL8eCdnIHj+pGiij2oK5SCq728PPfQQnn/+eVP/JqChvh8APPzww2zfQYMG Yd68ec3+3IMN2Ha7PWCikGVZMymaFYs2Y/To0ez4/OQG+IRTmkA1mLYtGubEYNAFEF8Oyojk5GSkpKRo +n51dbUmWazRs6eTNABUVlaysU31elG+dQs6ZPy64Z4Qn/nwlMvL/b7Bn0tFQ6Z5L0GjNF6EAEQiUAG4 /ELXZ7t2YP4/Hwd+91zkB4yALt26Q5KAnj17NlpTGW2hA9BqvABg1qxZuPjii9kCIC0tTZNOxmKxaFLn 8Fp83ldZURRkZWXh1KlTyM7ORkpKSlTGs2i/E7wihBe2glXUiJf5NhyE4BUGdr/jqqqqpo6MRjTHC9lY gr0YRj4l/L7BSs60JGYrM6OX1Ci6z2q1AvBN3o888gg6d+6M2tpajYBG2b9/P/Ob4AXylqpvZjTxh3IQ 1fe3Xbt2mU7aVJCg2p8JEyYw7RgA7N6929BvJNoE65c2mw2XXnop9u/fz7ZdcsklmjbpzaNAQ8CA3qQq yzJLMksjA800NMG0bUYlp+hqPBrBKLSfU22rUfAAIYQFi6xbtw75+flYvXo1Vq5cGVLrpKoqCgsLsXTp Ujz99NMNZmhZxhDbNdinKA37EuBkvQe/e2WnZhs1C/LJTlXVJ6TVe1S4PCoSLHLIa919+Cd2nL07t8O5 eRMuT7dh3ydOeL0t4OOFBp1aYzWVzSGI0zmHRpx6PB6WOoZG2QO+BeXo0aPRrVs3VsUhWOocRVHQrVs3 pKWloaamhlVuiFbt2GhZAvQF4fX+10Y5FqnWuzW4xwjBK0yoc30kqvTmXhlHQrAXQz9h8wWE40VlG2o1 Eyq6LzExEX/+859Z4efZs2ejoKAAf//737Xh9H4IIZg4cWKA30RLPVN+4jdLdxDKmTY1NRXr1q3TaD0k ScIf/vAHXH755SGf7aJFixolSERiugg1YPft21cjePXtq83fZLfbNcWiqXDt8XjYIE19nm677Tb2O4c/ aozHarVq8njpC0kDYKkjeNMGLyDTCSHcoIRQCR4LCgpQUlKCDz/8UPM7GqmYl5eH7OxsvPPOO0E1mxQ+ UKi+vl6TuZ8QgjXLl6GTLZs/EX48pX0/qBM8fcVoPi+v6hO+ak7V40S9BwO7dwrZHpdHBSHA7k/KMOWe bLhdblisVvzx0TzIvQYi9BU1nvrEzjjz3C447+wkdO2YGPoHJjRHpJzNpq3BKMuyJjCGPmtFUZCRkQE7 58tKF8v61DnU3aSoqEjjpB+taizR8qcKpQgwiran7kD0/sS7e4wQvHQYTRrFxcVsVe12u3HnnXfiqaee CumI2xwvZFMwezGMNHrx5pRopj3UPy8js2O3bt3YIMSrqUtKSgI0IvxnI7NySz1TvRDFC13Up6m6uppd m97JlGr+qL9a165d8f333wMAli9fjgcffFDT9pycHE1yRQDYuXMnPvnkk4jU9o1R9wfra1OmTGGlc6xW K6ZMmRLwzB0OhybVwoIFC5hwcd999wHwRWiuXr0aH3zwAQoKClBVVaUxY0qShLFjx2oEW32UoNfrDciH pdeMUYGGr/kYyb0yWgTl5eWx7Xx7VVXF2rVrWWQiRVEUXHDBBfjmm28055NlWSPIqqqKkydPNrRdVbHi taWwlO0HRj/p24cEFpFWVZ9ZkICPeAQgNZgbw4luJDRLPQg+2boFbpcbquqFxwPsONkB3mvvCXmMpjBu 0Dk4p3tvXNS1I3qde0aTfJ2iMV7qz0/nl0WLFiEpKQlbtmwJWESF0oLrF9gej0ejxY3HaiyNUQQ4uNQo rcE9RgheHOFOGt988w3uv/9+AAhL+IrnDkAxi9KKF4w0TaGi+6jph4bbJycna+oTpqamYsOGDaivr4ei KBgxYoRGs2BmVm6JZ6q/DofDobkX/CTMp33gNX98HiBes2HkG5Gfnx+gJaSawHDU9nTSqKqqiqop1maz Yc6cOSgpKUF2tk8TY1ZEm7aDX/mnpaWhpKSEZe6vq6tjjslUI0YIQWJiYoBJ3SjNhJEfWkJCAk6fPh3x tRktJvT9nD772bNns4Lm9Jp4/y/ar2k0IwA2RlGsVmuABhGAxqRFCIH7VEO2eAKw4tiU889KhNtDQCx+ E6NfyCIAPN4GTZjLo+LzoyeRcoGx5mvnNw1mxrRhV8NitcLjASwWK+TzLgJqI7ufkTLh91mYvvi/GDDq upj7BxmdH0BAGhFqRpdlGaNHj8aUKVOCasF5aN/itbN0vI8XoQswdqwPJRDrfxMv7jFmCMGLw2ggpBiZ HRYtWhR2+Hlz0tSoFLoSorbxcFbrLY3Ris7M34q2nU8xIUkSy4UD+LQXs2bNAtCQiPCjjz7SnDMtLS2m 94G/Dj71hd6nie+r9P7o8wBRaMJFmlaEHt9McAinXqW+wHM0C8lTXyyXy4VNmzbh7rvvDlquBwgsis5P NHp3gdzcXNPVfk5ODpYsWcJMkryfHYX2SxoJ7PF4NCbLYJhNMAUFBSgvL0d1dTUefvhh5lT82GOPISsr Cw6//5fD799msVgwe/ZstsigZpisrCymsaNaAD0dO3bETTfdhHfffbfhvtQ39AVCtI71AGBVJJx0eUBg ASHA1sof0aVjIvoknwE30/wBdR4v6v1/iZYGvzG3V8UXR3/2Z8D36cYuH5yOv81/A/+36zt8pXTDrtqQ t6/JuN0ubN28Eb8d9UtTjXpLYTb36Mtg8f/+4IMPMGrUqLDHfn1fdbvd8Hg8KCoqilrN0WjAj/W1tbV4 4IEHoKoqrFar6XMJZYmIdXYBPULw4jAaCPXaBZ7u3bu3cAsDicZKjfdnIYRgyZIlcZm1XL+iM9KCUYqL izXCBBUqefhBjV47z9ixY6N8BZGjH5Crq6sD2mlUqy81NVUTFUW59tprsW3bNhQVFWHBggXo27dvgK8T 0CCM9uvXD3/+85+D9gW+jQCabLowc6yl1x9uuR6gIcO7LMvo06ePJjWDoihB+7nNZsP69es12lPeF4sf yG02m8anJpzrNjIN887QvK8iIQT5+fmYNWsWcwng06ekpKSgoqJCU7uzoKAAH3zwQYAWgE66VqsVAwcO RGVlpbafqA2Clk/jpXs+27bjspRUwJ9K4qXNlQCAxXcOQgcr8ef1UvGzywuVAJ8eOYGB3TvBqvgcwk+5 vDjl9vhrOwKf7izDmuVv4Od6L7666DeG90paXwRyXRQXud9/BYvFiv5DbJBlKehY0hLoXSSqqqqQlpam 8V/koSbtcIQSHmqa1wtx8eaMTttx7bXXsnEllFLATOMXa22mEaHDTtoBNPcH4KvV9/TTT2PdunUoLy83 FboURWERUrEkmJYuGPSaaTLVMWPGMLWzx+NBcXEx+z5esdlsKCgowIgRI1h0HqDNuxYu+rqOU6ZMiQtt Jh2QaekfACyiCfClg1i/fr0mn5PL5UJZWRnT9FFkWUZSUhIzu3m9Xuzbt0/jaJuRkYG77rqL+bvt27cP Dz/8cNB+YLf7MrlLkgSLxYKcnBxMnTq10ULXiBEj8NRTT2HEiBHMPEyP3a1bN3b9ocr1AD6hlCYWveOO OzTneuSRRwAgaD+nfoN6oYtvI/2tzWaL+Lrpb/jn53a7DQNEAN9igV6f2+1mucSKi4vxwAMPaEyq5eXl mvHMZrOhoqJCU38WQKDgzQleKiHw6kyNT3ziwf7y7SyakTLmzd0NqSYAfPvTaVY4m78USfIJXF6VoOKT Mjz0h9ux8rX/w9qS/5jeJ0II8J9JYd/XoNQewbU/fIy/zl+GywYNgYQGIZi/Vy0JPf+4ceNACEFhYSEe fvhhzJ49G+PHj0dWVhYSExPZM6PvNV0wUqEkFHxJNf49inXwlxF6AbEpx2nMHNmctHuNl5E0TBPVmXVk mjU61lIzYK71CaZaNbrmnJwcTYZ3PidMvNZs1JuhUlJSAAB5eXmGkYrhIEkS7r//fvz73/+OZlMbDRUu qSbjvffeg9VqZZF6VCuk91+j9OvXD1999RV7ltnZ2fj4448DBjQaNQmAFWCm0Og5o3qGAFBRUaHxEWoK +kGyvLxco/VJS0tDYmIi6uvrIcuyRuNl5OfBa6EcDgfTAkqShOPHj4dcCUeSwJbu3xiThl7jQcP/AWie hdVqDSj7RAjBsmXLNPtRzXVaWprmWh588EG2n9vtRmVlpcb/z/fjhuN4VQKvweS3d4cT11x9NfSPmzrL EyJxOb4C/Uap0LZz6xZ4qOZ59NSA/RiyAhz9yvz7SHCdRpnjI1z/27EAGvycYu2Pa7PZNIFc9fX1WLNm Dd5++20ADUE1ZuWxjNCXRrPb7XC73VAUBbm5uSytRLyN7YBxxLLehG/0vgULuIoXAbPdC17BBtGcnByW G4UiSRKSkpLixnnPyLYdSrVqdM18bqKqqip23fFcs1F/HcXFxVi6dKnGp0dRFNx6661h5TcCfM+Xn6wo sfAR4B3WaTSm1+vF1Vdfjc2bN8Pj8SA/P5853RqtDocPH45FixZp2n7w4EHk5+ezfaxWKxO6zEzra9eu xaZNmwKev34yp9qXxt4r/SAJNKzq3W43ysvL8dBDD+G5554LiDI0Ckiw2+1sIVVRUaER4vbt2xcy74/R uxJssdNYk4b+Pabnrq2txcyZM1nyyzlz5uDpp5/WRCyqqora2tqAY7rdbs27e/fdd2v6iKIo6N27N+rr 63Hw4MGGH3Lj3bGfXfinP2M9T/8hNhAQuL3ad8qnIQMsMp/jC/jZ5YFFtkKWJUiQ/NGQQOqwq2CxWuF2 uYBLg9wrWTH/LlIkGW5XPY7u345zEoHtP5yBjonxmX5g9erVzCpBzYR8hQ2KmVDC98cbb7yRvdtUqI8H rb4Z+ohlvVtAUVGRxrROAxLMAq7C0Qi2FO1e8DIaROnKAvBluqaTtiRJuOGGG0xX/rFCv1ILJkwCwYuK 2mw2FBUVaaJnaPbjePMDoNdRX18PSZJQXV2tieSjkxX9Nw8VVKhwRid3mphSXzqmpX0E9A7rPLQGI4UK ZXpopJ6+f3Tu3FkjqFFBk/YbnjPPPBOnTp0yff56c4AkSRptaaT3Si88rVmzRiMs0VJW9Jx1dXWabPNU WPnHP/7BcnnR6K+amhrNc+eLiJvl/dH3seTkZFNH3lDvXTjXrt//2muv1eRuWrNmTaCGygSauZ4+u+rq auYbRoU4ANi6dav2h5zG6x8fHsDxOqM8d76/ek9gpi3iNy0S//9UAhys+RkXnt0BFllC1Y+n/eZHgv6p 6Xjx1ZV4r2QZ3gl6MZELXgl1tXAldTY4lm+h0uWCHr6PYR6vJRZf+sU+IYSZxug7YbTIMopGdzgcmkCU AwcOaL7fuXOnad3eeHBG5+dhI6FrwoQJ7D7QQBsApu8gtejEQyBBuxe89NJwRUWFJoSXqv2BBs1AvAge ZoRSrQaLAKHmOxqaPnnyZMyePTsu1LRGDs28Ge6dd94JGJA8Hg8OHz4ccCw6+T7++OPIysrSlGfRv7CN mVCjEWlKz6mqakDixGDw2awrKioC2mG325m5TlVV7Nixg/nJ6Qf1n3/+GYC5Hwh/LFmWceutt2L16tVN LjacnJyseQ8pehMLIQQLFixAp06dMHv2bI3gTe/XihUrsGbNGrz00ktITExkUYKhymLRttxxxx14/fXX NRo2I8IxaRglTDXrJ3qhFgAOHz6sWURceuml+OKLQI2UJEm4+uqrmf+ZoiiaUkKTJ09Gbm4unn766YA+ JUu+UkAA8JOB0AUAz4z/LZ4rLkGP/lrtsArq4+UTuFQCyBKBSnxaruN1Hva9l0Y0pg1FnysG450F2wzP BQD9+vdHz4v+hI9M9wjEtaEYuPHhgO3yhiJMeXomkrt1991Lv8wSqXtGc8wDNpsNjz76KNNIU20mvwi7 6qqrsHnzZk3fMNI085HNqqri888/15xr+/btyMzMxNy5c2NWFs0Mp9OJzMxMpplbsGABXn75ZeTm5gYI XYA29Y/RO9jURVG0afeCF4WaqPTh5nq/idZAqNBauo+RTZx2UCqYdO7cOS6SwJoNfDU1NUzjQ7WS+mLZ drsdZWVlAcckhOC5557DxRdfjOzsbKxbt445cfOTZqQ+AtGKNKXn1PdJ3in2qquu0hSClmUZjz76aIAQ YrVaMWfOHJYLimZE54XN8vJylkiXxyhzPsXIRMZH0kUiqNO6i9R/LVzHWq/Xi+ee89X0M/sN9ZfRp5ow y/ujz0jPH4eatPXPN5yQdn1Gbprugubfoqafv/zlLwEJba1WK8aOHYuKigpN9BtdGA4aNAh79+5lpWG2 bdvGFlA333wzVq1axfrSrFmzkJWVhd69e2tS5ciyjCuvHY7SEPfc43GjfGspki8eqNmuqr4oSJ9GrKGe I020Sh3vWZFtv2bMHaQ8UM6QC3H9Zamo2leOj3aHaBhl3Txg71okpY5E3fn92OZM+WvcUzATA4dkYNuW TSw04NChQ7j//vsjcs/QL1ibMkbyv+/cubPGF3HXrl3s3F6vF5s2bdIE2FBo4mAa0bpo0SLN93oBmwZm PPDAA7BYLIZ1HmMlpBQXF2v8dL1eLyZMmICDBw/ihRdeCEh8/cgjj7D7Z+R6QwMKgOikuWkqQvCCViUb DI/HE3NJOVzCdRQNVZ6B1y7FCrNi0dRxks+6T5NBKoqCMWPGMOdqs4lcVVU88MADzKRKt/GEI8jyRGN1 xZ+ztrZW45P12GOPoXPnzprVKTWFXX311Yb92e12Y/z48WwiT0xMxEsvvYRNmzZp/KmM7lEoTa++fzRW UKd14wCwmnR6aDSefhKhIfVm1wAAK1asYNGbY8aMCRo0wi9A9OcHGswZp0+fRn5+Pt5++22Nto6aPYJN 3iUlJew5qarKSlStWLFC87wBoHfv3pg6dSpyc3OZdoL6YlKXAPoM6T2g5nNJklg0KL0evirD3XffjT17 9uDkyZNwOp1wrv8I6D/G+CH5sVis6D1oGO56rVyznfijIJlw5Re0CAG+P1nv30f7BwCn3OZj74hLuuCr T3fimdw7gbteBM69MGjbAACSTzBxv/EklD+XgLqiZWReh4GpDb+XJAkSfMXCG+OeATR9oaX//R133KEx r6empmpqdtI/mpeQCmn0nairq8MDDzwQlnYcgEarzkcDx4OVg0dVVTz33HMBi9DHHntMY5WhAXJOpxMT JkzAkiVL4Ha7IUlSQNLZWCEEL/heKqOJuX///vjyyy+ZeSOeOiHFbKUV7gpMPxnEW53GYMWiKXQyVBQF L730kuFkSk1MQODKj05SFLfbHTDwRiJ8RqohM4Oe0+l0YtasWSz3UlZWFoAGn4+7774b+/btw+bNmzXa Lz38gEU1XFQDRDU+S5cuDUimOmzYsJj4gRBCkJmZiXPPPZeZyejioLy8nNWco9DC53zFghdffBH79u1j +1DBvbCwEElJSaaTJBXo9X0lJSUFOTk5WLhwIdu2YsUK/PGPf8Sbb77JIg5pEXL++Pp+oY8wpcLQ8uXL A9pTWVkZ4HtYXFys8cHktbr8s6YpPtLS0jTOyHa7HfX19ejZsyd69uyJTZs2+dovhdbsP/Hy6zinzxXA nk812/skn4ljp1wAiL8kEIEEyV/fEZAlifl30SwVhACeIIteRQY2v1MCj9sF/Och4OG3mGD152t/Aev+ dXjuhz7aH/m/J0SFpKrcZ2D/dyfQr2tH327+3Xv37t1o94ymLrT439fX1+P1119vuAy/1aGgoAATJkxg z1VRFNxyyy2sukJRUZHmN8GUCEaLF15410cDx2IO0Ccv5tvJV2mYPHkydu3aFbAopznt9BHA7777blyk gRKCF3wv1dy5czWrBEVR2EBn5uAXa/QO2FTDA4Rvo+cnA0VRUFZWhqqqqri5Vl7zYGTycjgasu57PB6U l5ejV69emmPotUfPP/98QKSq3ozMpymghCtoRKohCwUfYu71egOiN8OFv05ZljVO8PR5r1u3Dnfeeacm aq6uri7gWGar/Kas/o2iiLds2YJx48YFCNQzZswIeGadO3dmEYyU8vJyjeBFCRbJCPie4ZgxYzB//nzN 9j179gAAevTogcrKSrb9tdde07SHTgJ6vxujfqEXhvQaTgqfg8jIDGoGFZzp+Wj5JRo1RqHCR71HRaij 3jJiOLZV1QZs31++HcmXDmT5u1QAMvP5kiBL4HJ7+e5X7Sk37nq1POBYFFmSGiQkrwdw1QGJZ/g+qgTp N9wBvL5L+yNJ9rsNWNHlTBnfnvJttl10Duo8/iJHTKEqoWfPnsz8Tu+NHrPFl9FCK5JFCf97GhBBoW4P xcXFAT5dq1atYmZF3s9y8uTJbKFmxEUXXYTU1FRNHVIAAWNrLMd/m82Gl156CRMnTmTXQbXVtP6uUWUK SZJQW1uLv//974YpheLFaiUELz9UhZ+fn4/Vq1eDEIIHH3wQgwcPxtixY2Medmv0IvMrJa/Xi8LCQixd ujQsGz1/PL6MBH0Z+fp/sUQvGPbp0yfo97RsS0JCAms/H+02a9YsQ18HHkmSNIk5gcjNCdEyzzqdTixY sIB9VlUVGzduDDnp0ug1fh/9ddJkm3wfsdlseOqppzR1/pKSkgKin3hzJl+6pzGrfz566Xe/+51GiPF6 vZg/fz4SExM1/XHv3r1hCcs5OTlYvHgxy1106623arRnwbSRRmlFVFVFfn4+qqqqNNuNomb1+fD0dSUB aEyHtbW1yMvLQ3Z2NjIzMwO0l3QSNjODUjp37qxJL7FlyxY4nU5NZns+7x2lZ8+eWLduHV5dsQbFEnAi SKooRZYCimcDwIQn8pD31F9x7dVXMd8uVUKDdov9z/edJAFHTtQHHohDliTYR/8aG1a9AY/brUnaOrRn Z+P6sscOoW9qBnr0uQyDenrxo9eCDpVl+OmrBHTofTk4n3oAPh8vfU7AcN9fIz/HSBcfVPPcqVMnzJo1 i7lLzJkzBzabLSAVAjU31tfXo6amRiM0pqSk4Pnnn2f70rx/lMrKyoD+G43AsWhrwKn/LuB7n9LT07F7 926sXr06oDIFFbpUVcULL7xgurAmhGDv3r1NbltTEYIXh81mQ0ZGBlatWsX8LsrKypgKP1bCl9mkb7fb NUkz6YsIBLfRGx2vV69emhVCPER+ANqo0yVLlmDBggWacGD++40bNzLtRn19PSZNmoSxY8dqVkU8Zv5C RvcsPz+fmeBa8t4UFxcHtM9Ig8PTu3dv9OrVC9u2bWPO+XpoSgGjWoy5ubk4ePAgyx+1ceNGXHfddRrB Rx8xRYWeSM2s1KHeKHcYD3Vqt9ls+Mtf/oJXX31V8z0Vlo0G/zFjfP5KVKsX7gRRU1NjqA3VR8nq+5Es y2ysoBq8UNq1iooK/PWvfwUAfPjhh5gyZQpKS0vZO6mPvOSLHfNYrVacOHFCs40QguLiYixcuJAdz6zO pc1mQ1LP/ui46zD+vf4gzNj0VY1PE6XDPfqv2LPdiauvsgGcDxfNXk8I9f3yRUAqkFCnr0mkQ5El9Esd iumLS1C+bQs+PusMVNcBa++/EvUeFbV1bpyrnsAx+SzfD157DKg+gC++seDA7h1wrHoDkADV64XVmoC/ zluGpCHpvvvqvz+hfLxCwQvUZjVkjdBbLajGi0YIU+HYaBEA+BZYfPqUjz/+GJdffrlmzLDZbDh8+LCm XJa+39xyyy1NFrqiHQmpH0sGDx6MHTt2sMUe0DDPAdBEf9P3kUZ489q9V199FZmZmTFVpoiSQTrMigvr I0RaEiMtAkU/KaiqirS0tKDlL/jj0TxIycnJmmPRnEXxgM1mY4KhWdmHpUuXBggkZWVlGD9+PE6fPh3w TBVFwf3334/Ro0drtg8YMCBA01dUVKR5cWnG+HjAaLVfWVmJjRs3QlVV3H777czpnP+NxWJhyTiN+kjn zp01n/X3nObEArSle6ggzB+XL0+lx+FwhJ2Fm+YdMvKBoiYGWsonMzMTAwYMwPDhw5mwTrHZwivtY7fb A+4d3U7Lt1gsFvzhD38IyKsG+AQ9WrIolBBaUlKi+bx8+XJMnjwZVquVlXriIy/vvvtu5ObmYuTIkawP WCwW3HLLLYZ9nW8X3WbWHlmWYDGImuN5ZNU+nDbI4QUAZ3Y6hwlYvMDFa7pUTigLFSwuS76//mlDkT3u Yfz95hT8+dpfQJaAH0+7IEsSHh7YEXD7TeLHDkFWFKheL1TVC4/HDY/bDdXrhcftwv5PnKBNV2QJBA1m VlqaqyljHxUYgj13+k7k5+ejrq5OUyqK+pyuXLmSlaSi0cg8FosFjzzyCF544QVN+ajdu7Whn0ePHsXj jz+u2aYfNw4fPtyk8nDB5qjGoh9L0tLSNIs9Os+NGzeO5Z0EGvo74LvOyy67LODY+vetpREaLx1mq9zy 8nLWMVva6dBMi+BwOAK0IXQSDGbq4gcVWlqE/pZPPqp35o0lNHEgISTAj6KqqspUY2JkRlQUhYXuO51O vPfee8xxfeHChQHXqxe6L7nkkha7Jzk5OUFLhFx77bXYtGmToVbL4/EgIyMDU6ZMQXFxMaqrq/Huu++y XE7Bni2937R/6ScQKnzwvoETJkwISNgaaiVMhZtQGi8ALN/YHXfcoVm9A77n/Pzzz2tWvfv372ffN1aL 4XA4MGnSJKb1lmVZk2IlOTkZDz74YMD9r66ujsjXLzs7Gx9++CH7fPDgQRQUFDAHal5bR+8nX1YI8E1G 3bp109xPaq5KSUnB0qVLUVdXB0mS8MgjjwT4eAG+5/X6qvfh+kVGyPvjMkkB8Z8XZyB14OXoO2ior128 8MVFOrq9Klze0AlMFb+QIPtdvc45IwHpPSz48bTbnwnf/13lJyCXXg0JwOVDr0bFVr+plhAoFisIUaFY rLgi3YYkqwwJPsELAPPxoqbYpox9oZ67WaoSmu6Avut8DcYNGzZojtG/f38MHz4cx48fD1ke7csvv0RK SgoKCwuxaNEidO/eHaNGjcLDDz/MNEc7duyA3W5nfsKRXnekmu5Q8Fpp6rfp4KLTJUlCSUkJUlJS0KtX L819vPDCC5n/JfXp0pOdnd2k9jUVIXj54UPBjSYC3qk5HHVqNO3dZi+y3W4PWLlYrVYmlBgFBdAEqXpH TcAX+ceHLMeLuZGWhqCZyG+88UZUVFQwnwxFUWCxWFjo/NVXX40tW7YECKVZWVnIyMjQ3EM6+QR7Vt27 d9d87tu3b/NdrA6bzYYNGzaguLgYW7duxa5duzTfn3vuubBYLIaCWUJCAkttQKOUqP9iMCdT2keoOdIo BJs38ep9A3lH+FA+X/T+FxcXY+fOndi+fXuA5vWMM87QZM+//PLLcdddd2l8wfhweiPCrWNqdP9pIXZ9 ihXAVxfU6LwrV65EUVERcnNzNecwOzc1e8ycORMHDx5k79/KlSs12i7et84IGpFm9O7zgsXs2bNZdCyF 5rKqd7kgde8H/GZG0Hvz9/cPGG73EIJd20px2cB0eAmBDF/dRvpUecd6VfUlUg0GkQhkSYYsSZDRIKid dnthkWV8uecTLH3uHyCf7QU6LgU89fi0bLPmGMNvuxPJ3S7EgPSr0C81nQlc9L8ANDkBmzr2BVv4mvno XX755aioqGCfqZ+gfuGlKAq++uorHDhwwNi/TYfb7cakSZNQUFCAbdu2se0pKSkBiaOpn3BTKk40dc4z W6wlJycz31VCCNauXQuHw4Gbb75Zs0jU+691794dHTp0YIuOxx57LOY+20LwQuCDnj17NhYtWqQJz6bq y3Bs92bRhk3pjGYvsn6Suvfee1FRUaGJ0OQd5elLr08yyg/Y1EE9mDmipaC1APmCwStWrNAkgwR8pZ3e ffddeL1ebN++HY8++qgmetFqtZrmbwnlCD9lyhS8++67TCvWkuHIdKLu1KlTgNClKAq6deumycB+++23 sxBzfZJQPkcbTb5pVDKEnxhkWcapU6cM20b7E7/i1tf2NMoLZ3QcI20OzUNFs+dTbSU9hpF/nhFZWVns 2Tfm3TSaVHithZkP3YQJEyIqPZWSkoLrr78eX3/9dYDWg441Zq4QgC+/W7CItFCCBfVzUr1e4MSxkPfV DNmagJShV8GjEtR7VXSwyCBEAmg2e/i0ZV7i++/6L2uCHu/nei/O7uATvKgTNeDrD1/s+QTTxv3Gl2oC AH6qBmQZRHePLup7BUZk/9EXFCBLkOFTn8mQmEAYba2NGfQ8+rQtu3fv1ozL119/Pfr06YPCwkLNfn37 9sXnn39umuvOiLKysgA/TZvNhry8vIAcYU3JPRiNRXpxcbGmhmpxcTHz8eWvmfbjlStXBtwHmtsxISEB U6ZMwZQpU1rcUhUMIXjBOJcVXeXSEF1eXR8qbJg/Hh9tGO3SCw6HIyCZXHV1dUDyPH3CUX7yNZp4Fi1a pBFqYonDEVg2BYBG2LBYLEwAoS/j8ePHcfXVVzMznFGm53ChWqeWenH1UZj6XDSURx99FFlZWZo+yQuX eidfmqPNLFCBQvsI1ayYFcim+9KktRTa3kjzwvECTllZWUC4O9VqVVRUBLSRx2q14pFHHsGuXbuQnZ2t Wd029t3UTyqhNE+Ar4/yE1gw7R/V6uo1l/q8dXy9SVmWcdttt+HUqVMB12k0LhkJFnyeJD6XleQ5jeAG LHOGjbwdlw0aghP+ckOJiqTJ2QUC1LlVSBJQsqca7332vemxbusBQPK955/t3o4dpZtxWdqV6H1FGmRJ wv5PnPB6AstIUR8vwPfbrw98itX/NweXD7kKKUN8JlAZ2shMqt0MllLCjEi1qLy2mGry9WZHWri+qKhI 8/6fd955+N///meYl1BfuUOfu89I41xQUKCZM8zqlrYETqcTixcv1miy9fn6qG8lHWf0c5XVajXN50jN jrEWvoTgBfOVDp9ckj4ofV1HXqPARxsmJCRoVhFmUURNbTfN30Ijq2hBbx5ZljV+XUbXReFzRrnd7oCs 3C29YtBfo1GKBLfbjU6dOmkESn0+KKOkqJEQyWquKffKzP/DiOPHj2sGcQCa2oxG/ZrXUtGEjXl5eQH5 e9atWxe0fiV/X2699VaNkES1Eo2pfED3e+qppwy/93q9mDhxIjZs2MDayPtGAb5Eqv/+978Nf2/0bjZm ha/XPBn5hVKzv/7c+nFGr9XVU1BQoBGeqG+dXtCmmGnWjDR3dCICGtJJFBcX4/uf66EPYfjriEswfd2X CMWQ625mkYo+Xy4CQIVKZMgSzWrvS6z6U13wwIo653+x+qst6HLeeVjw7FNwu9ywWK2YOm8Z+qem44qM q6BYrfDwriGEoO+gdBzY84m/ooUFG1a8AVX1QrFY8czit5CaPgyJZ5yJxAQFZ3RIQMcOFmZiN0opYfRO 8+4pRvNAMOjzoC4A9Bj8Qp8e47bbbtO8XwMGDMCzzz7Lfsf3HeoHy/s6UvTzAIVPnWNWtzRahBobHTq/ ZaNIdJq7bN68eRotId9+ugihQQyNeUbNiRC80CD1U8dDvUDFRxNVVFRg0aJFLOTXSHVPB7j8/Hz2wvAh 99Hk7rvvRnV1NQ4fPowdO3YYOpOrqopJkyYBgOF18S+DntWrV6OoqAgPP/ww+11L5vfSTxY0FxGvGaCl JG677TZ069YN1dXVAdqSaJpNwymma1R/LxzM/D9CwSdU5bOmm/kGhtJo8WaIUKYXatqkqKoKi8WiERgi wSiFBi/Y0AzvU6dORV5eHj7++GPNxKOPyOThBVU+x1akfUMfZUa1qr///e/xxRdfoHv37qZ+cUYa8mDP m58Yw/GlCaZZC0cIpnnP8MivNNtfe/YJYOh9QX8LALaMdHi9/ghG+EoI+QQvAkDiohmJYS4wnvUr34DX 44Uk+8YxoqrweID9nzhxedpQ9B+UjnFPPIN5/9Sa/3tcfBnGPPo3VJSV4rM95Shb/z4AwON2wbH6v0hN H4YLL7sCnZIs6HF2B3Q/O8k0DYSRIAvA0Cwe6QJb/zyoto0G/jgcDowaNUoTAKQPYCkvL2d1PY0ELgqd B6hASf2Aq6urNXUM9XVLo0U4KSfsdm2KJD233347pkyZghUrVmhcL6grUEJCAtLS0gKEraY8o+ZACF7w dYiHHnqIqW5XrlwJINC/Qr8ypeULjHIh2WzanGB8yH202sxrRviiqvyLR/9dV1eHmTNnspU+7XyANtlf QUGBRu2tqipmzJjBTBJ8PqWWgh9kbDYbNm7cGJDHSVVV5oh84403ar6TJEmzgmwM4a5ueRMUX38v3HPr NTLBoLl99MIavxAwSpsQrkYrnEkeMC7vQQiJuL/Te2yUp+zaa6/Fli1bWE1G+q7ZbL6qE3zwBV3gmAnI em1DtLS4qqrirLPOQkFBAfNLoefTn5vH7o/s1JdHAQK1ZmbH0B+vsb5KfL1MPZUH9gFDQx/D4k/RQBOd qn7zIs3d5f+IDV/9gI8O/BD0WB63B4SoAPH59xHJl41+QLrNF8koASd/+hH+jFwAAFlR8MvbfoMBaUPR P3UoXsrTpVLwu+cnWmRNRKXZfTMSZIEGf19+zG3sApuammlyW0C7SJ49e7ah6YxG2tN2Bxsz+PmMXi99 1larFePGjUNaWlqzmeOCLQh4zIQuSZLwwQcfYMqUKXjttdc0351zzjno06cPXC4XHnjgAbYQouNwNJ5R NImJ4DVr1iwsXLiQhbQvWbIESUlJsWgKgMBcQnwSNv0LqLfDz5kzx7TQLm8mM1PzRgI/kegnW9rR+vbt iwMHDgSsfAghAQn0aMQbn4G8vLycOSbS3/GlUYDQCTybk6KiogChi0IHlm7dujEfAMD3nPRZuiNB7/TN azn1JWHsdm3dT74YcTjwQtFHH33EhOlzzjkHx45pHZ6pYKPXYBnVszQ6T7garaqqKkMhgj/WSy+9pPET IYRE1N/5e2xEz549Wb/UTy5Uo8inAgAQ0rTQFGfgnJwcpmXgKSoq0vikLFq0CGPHjg3qwF9RUWFqZmyM 2SdcgdmI6urqiM5lxJ3/2Yk5v7oC55zhL1oOApnQcVXCabfvWueXVgU5ig9CVPoP/O6+B3Bmx074xaAM XHR5ms9JXpLQ6ZxzAS6b/a1/uh/9U9N9jvMSgf223+DjlW/A6/aZKUdk3elzzZB8WfFpZKPZfTMTyPRl fugYbJbI1wz9gr6+vh6LFi3SOJjX1NRoCj8D2uCZcJzsqT8snT/4OY+euznNceEsCPSmRh7e2f7IkSOa 73788UdNMBwAtkijrg/0GQHAmjVrYhrZ2OKC17fffouXXnoJ+/btQ4cOHXDnnXdi2bJluOeee1q6KQy6 4uQHfRpVwvu+6AWpOXPmBH141IQZjdwwejXtQw89xCZ4+sJbLBZ89dVX7LPeH4qHZvqura3VaEr27dsX 0sx19OjRiNsfLYIlvuMjNAGwidHr9Qb4MUUCL5zSwYtG2BmVhJk7dy4mTJjA9jeLHjSDCkV0cLRarbjv vvs09fv0Wh8+r5RRskWz84TKN8SvioOVkaqpqQnwzXj44YfD7u/8athoEtm2bRsbOI2EWX3EXklJSVir 68Zis9kwf/58TWklINAnxe12Y/78+Vi4cKGh2bmoqAjjx4831FRQs1Jj2xd1rbTrdOh9/JQd+hEjL+vq +yDRZKqABII6t4ryb2sjOrUsy+h01tm4a8Ik/HCyHnUeleXvOln7IyR/JKMky+h4Vid/BKRPu9VvUDr+ XvhffF6+FYMyrsLlqUMhwf9d1444I0Fh59HfN2qOu/HGGzX51ABo6r/Sd1NVVZbIN1wBxsiv6ZNPPmF9 ggpL+veRLwumt3QoioJHH30UDoeDlfzig3T0cx5fgsfI1BoNzXA4CwKjuViWZRbBTE2iPJ07d8ZPP/1k eM5HHnkEx48fR3V1NVavXs3u84oVK1i6l1gQk8z1Ho8Hp0+fhsfjwalTpwLyJLU01Mk0KysLiqKwTNH6 iZp2nGeeeQYbN24M66EZhXA3Bn5iqq+vZ9FukiThrrvuwjPPPIMxY8bA4/Gw811zzTVM4tdjsViQnJyM F154QbN98+bNsFgsLArQ6LctmceKp6ioCIcOHTL9vn///myQy8nJQVJSEhNO165dy7JARwrvSE0IwSOP PIKnn36a3W/eSZ0en9d4FRYWNurcdDClK9PCwkJkZGQgKysLGzZsCOibU6dOZZG3CxYsCOuc9HdmvkL8 qjhY/+VrA4azvx66GlYURZN5mnLHHXcEzQbO/z4hIQHZ2dlhZ41vLCkpKYZtNcLj8WDixIma50G1F3qh q3fv3obPuCXQ++tRMk9sQ9eOVuDb8LTdqgqcqHfD5VHx2e4dWL5oNip2bvdlrAeQv/6r0AfhBD1ZUZB+ 1dU+LZVfQyXB944MyrgK1oQEyIoCqzUBlw+9iqWeAHyTXL/UdPz6vocwIC0dkgTIsi+HV4JFNhzj6LMZ Pnw45s+fjxUrVrBE0xT67nTu3FlTxWHXrl2Gpkkz7P7IYB4qIPDO7vr3kZbEMXpn6O+3bduGm266iS3Q +UWLw+HA+PHjMX78eKxfv96w0gJd8D/11FONHj+N7plZv+bblZmZyYRL3r0nLS2NVRkAfGOPmYn1+PHj WLp0KVavXh2wKIpl9voW13hdeOGFeOyxx9CrVy906NABI0eOxMiRIwP2oyp7oGU0LDabTRO9R81w9Dt+ v0gGw6b4W5gdR5IkTZ6fN998k2U2Xrx4MdMMbNu2DXPmzMGaNWs00Y6SJOGWW25BeXl5QGdUVRWjRo1C t27dsG/fPtTV1eHSSy/F66+/zlS3LZnHilJUVBSgXdCTmZmp8QULNzIvFHwIvyRJOH78OP7973/D6XRq nNqpk3rv3r01vzfyFQy26qPRVdTnhxCC/Px8FBYWahIgGhGuH0U46MtIBQtQ0OcYA4xrXurRF2un796k SZM0CQ///e9/Iysry/S+Ga2mafHppq7UzdBPqL1798aRI0dMfW08Ho9G86p3XaCkpqYiIyN05vjmwKwm 4Nb/PI+cR6dh6ex8uO9bYrgPz8avavDKzm9xloWgruh+eI//gOULC/Cvhf/FhQNSQ/4+4eRRuIrGss+q 14sLz+7ATIOyJPm1VsDlgzOQ+8TT2PTBO0j/5SifmVECrDIASHB7JcgqYYKaIktIVGRTx34qbOj9LM3e J2oJoWN8dnZ2WCZ8CtWSG41vVNCg5+G1QYmJiSxtQlVVVYDpOz8/HxdffLHpHGQ0l+nfoUjqTjYVfiyY N28eZsyYgS1btgQkSabpnmbOnBlQwUJPdXW1qSY9ltnrW1zw+vHHH7Fy5Ur873//Q+fOnfGb3/wGr7zy Cv74xz9q9svNzWUapfT09BZtY1VVFaZNmxZgQuIJV/3aFH8L/XFojpkuXbpo/JzoKiY5ORldu3bFN998 A8A30JeXl+Odd94J8PdatWoVLBaLqVPv4sWL2Qu+e/duzJs3z9SXzYxopqAItToxMstE4scUDLs/0oZO qIsWLWImByPhzmgFrV9BmpkhghWNLikpCalljZagDyDAOT6Y466+5E1mZiaeffbZoM/d6F7Q8iBGQlOo RY/++2Yxt3Hw91pRFNx0003o1KkTZs2aZVhJgBCCDz/8EOvWrcPo0aMxatSogPxNALBq1SqsWrWKRaa2 pNbLLCDCVV+Pys8+xT9mL8HfdhvscOIocFYX9rGq1lc38YRHAsYsAF64DR43UL5tC7r3TzU9v+J1gbzx BFxHv9ZsJ4TAuXkTRvVJgSJJfsd6nwD2+a7tLNXE/p3bcEm/AUhLHwZZlqBIEpKsQL2XsISpVsVXi/LQ 5xUg1R2Yj1d6ejqcTifuu+++gOSmgM9KYOQ2oDf1U8Eg1HjJVxdJS0sz7Av6OqgOh8O0Igk/ZlMWLVqE goICFv3OazT58bmiooJFVFJfMhoZ2BJJZY3GAvp+8W4ekiRh7969ePPNNwP8ImVZRnp6Oqt+IcsyunXr pmn/Qw89ZJjfr6VpccFr7dq1+MUvfoEuXXwv6R133IHS0tIAwauloS/BkiVLNCtWIyk/0uzX0ZgA+Bwz emiF+r/+9a9sG3WwBgL9Tug2j8eD9PR0dO/endXws1qt6Natm2biqK+vR0lJSUQ+UtGuVq+f2PWMHetb Hc+YMSNgsm6q4Guz2XDzzTezFBVut5tFdhoJd3/+859ZygtFUTBu3DjWP0KtIPXmBJ7U1NSw2hqt0h16 53hCiOmKNyUlBVarlfmkhRK6gEDtHB8JmJOTw4SweIXeaz4hLQ2+0KNPh7FixQqsWbMG/fr1CwhWob+P Rdg7XWQEOPsTgnVvv4qvP68ARv4z8IfvFwC/+ZfpcWVFgcViRf8hNkxf+4Xpft7SZUB1oBbDYk1AZmYm ZAmwKL7s85Jf+NpdVgq3y+0viA3s3e7EsGFXQoJvorbIfkENDX5fkgRI7jqc+rlBE+J0OpGZmRlw7amp qejduzfWrFljmnQYCG/BTjHz19Kjj2o1m0uoUPaHP/xBEwyVlJSkiX6XZRlLly5FQUGBZj6hpskPP/wQ Bw8exOzZszWR7pEuuiPFaCzo1asXO/fevXvx+uuvw+PxBARX8UXix44di4qKCjY3A2iR9kdKiwtevXr1 wtatW3Hq1Cl06NAB69ata3GNlh4z1bJRmgig5TLTm52ThxbB1WuEzjzzTIwYMQJpaWmaGox82glVVbF9 +3YoioLJkyejc+fO7Fr1qyez7OW8aZbv3NE0eQG+iT0zMxObN28OmNgURUFaWpqpoBcNwVfv+8JHf0Vi 5gqlkbLbAzPBU4Llp+KJlqZHXzBekiTTFS9vNvN4PGGlHNFrjPiadMEc+eMJ2tepr58sB/oMKYpiGKnl crlw2WWXmUYJx6Jkl80WmBCXQlQVX3y6C9B5hvx1oIIPd3bHjiDH/fX4R5Ey9GpcOnAI9r6y03xHrsKE rCgYfO31OP/8bvjVb3+Pa6+5GnsOH/cJUvA51icoEgZfeTVeSbDC7QYsFitShl6FJKsCt5ewyEX6RHxa E0CRgXPPSNCcmj5HPbt27ULv3r3ZM9aPZ0bzR6gxz8xfS5+FPpKoVpvNhtdeew3Dhw9nC6ABAwawNCxA Q6oZPvhEz/LlyzVjN193lZ4n2lCBnwqHfNBSQUEB3njjDcMFDfXJpoED5eXlKCgowJo1a1gOylhojkPR 4oLXsGHD8Otf/xqDBw+GxWJBWlpazAtWOvxRa3qhiyZrM7Lph5v92qxYdaToz0np27cvS5XAa4ROnDjB VtXUD4AKR8nJySgpKWHpCjweD2bNmqVx5qX1Kk+ePInPPvuMpZvgfVT0ucT4xJ38i9TUEhR8jhvqUMmX DHr55ZdRU1PTrL4Iet+Xd999V2Ny4IUd/pnrCaWRCjbxtXTuGb0QGKzsEt2X+hfy5lgz+HtBfVQoze1P Ei2cTieqqqo0CSiHDh2KjRs3sn1SUlIMfeAIIRg1ahRGjRpl6ELwyCOPxPb6F98PjCkMuduBPTtxdnLX oPvcfu9DUGQJ5sZqP5I/qEeWMeaJ6RiRfRd6nJ2ERIsMqyIj9cKz4aw85vfPktDBqmDgkAzMXFqCstLN 6D/4SvRPS/cV1JaIX7tF/NoxX/kiCcAFnZKg17vZ7XbDCgQA8PnnnwcsmOh7vnPnzoBxWZbloGOeXeev ZbVacemll2qEcFmWI45qtdm05c0AsBqHQEO9U+qHZpQv8I477tBovJKTk6NqvTCDz7NFBSlqbTGLtL/6 6quZH5jb7UZhYSGsVitTigCx0RyHIiZ5vKZNm4Zp06bF4tSG2O32APs6IQTvvvuuoSM5b2LgV+n6iVGv Tl60aFGjI5XMzrlv3z5cffXV6N+/P+666y5s27ZN43DI54DhSUlJ0WT85rUUeuduij7LOdVqGSXutNvt TCj1eDyoqKiI6Lp5TRqfH8rIB4IKnmblWKJhdtNrfzweT8Cql7aXT8ZrpLkJpZEyiywLN01ENOEH5WA5 yYzMsZMmTQqZvZ7eC72PSnP6k0QLp9OJ6667Di6XCxaLhZmUi4uLNYKXWSQu9d+h0ah5eXmsj4XKwN9c OJ1OvPfee74PtUeC7+yn5P+KoJz4DnjoN6b73PVaOV67Ky204HXQFzxCCMEbL+dj85rlePTJaRiSMQxA QySjBJ/5EPAJVIOHDkO9h2DXti1IUGR0veZqpt2SAFj86XU6JPg0YRee3SFA8AJ85iojU3/fvn2xaNEi jUDDj+16vF5vyNx31F+ruroaa9aswf79+zX7hFsA2+jY/Lik9++l+TPpfMKXV5MkCRdffLFmcRht6wUP HTerqqqYsKVPrZGammooJEqShHPPPVeT6Z4KYPr9kpOTmc9aPJgdY5JOIt6w2WyYPHlywHZa309PUVER 8vLy0KlTJ7bN6/Xi4Ycf1oTb6tXJ1DeoKe2cN28e82eiEEKwb98+vPrqqxg2bBjz7QLMJzB6zfTlJoRg yZIl7EXgs6/zwo5euOLDevnEnbzantbXCxWKTEO4f/WrX+G6667DU089FVDwWw/vd7Ru3To8/fTTbEVG NXJ/+9vfkJmZyaJkGwPV6PDnra2tZW3m28sPxjTTfyTk5OQY5quJRnLLSHA4HAGDdllZGXuO1AGXftYL jGVlZWGHoNtsNsyePZuly2gNZsbi4mKmKafvuc1m04wLgLHDOq05l5yczNIWfPjhh0zoSkxMjIngGeBj uHsNcKo26G+I1w2PJ3jNRQBwqyp2f/uT+Q6LxgFH/+c/KMGJH2vw2c5tuP83t2D3J77kmLLfX6uDVYFF lpnP1t6dO/C3sb/G63Py8eR9v8GnO8v8Zkb/vfanjZAAJrAZXbuRZkWW5YAFeDBfTMA3ToaTRqZXr14A YBgJSxc6TcHIfMrXrc3JyQl4x8ePH4/i4mImnNBxPtqpWfhUFQsXLjS99507d8a6devQr18/zXeEkIA0 EbIsw2q1wmq1avZ9+OGH8eSTT+L+++/Hk08+GZXUGE1BlAyCrwPMnj07YLtRuQ4+rYHe2VtviqOatGCC Q2PQD+w8r7/+OubNm8e0I9Tco/fFSk5ODrhmXjAMttqividG0Tz8SiKSDO5m0XyhVn38BKXXJOkFyEjL 9/DYbDbcd999mD9/Pts2c+ZMlk8tWMTfkiVLIjIzr1ixwtDXZM2aNRElYm0qdn+YPG9SX7FiBVatWoXH HntMY45Yt24dcnJyNNpYIDw1PzXZLFq0iPl1xCJlSbQwMivqkSQJQ4cOZTVQ+f6Tnp7e6DqXTSXA3LZu nu8vKP56QCH4trYe+Y4g+btMzEmq6sU7by3DPbf7nMtkSYJFBqyKzD6Xb9vS4GDvBj7ZugWXp2UwjVeS RYbFL3HJJmMKdY/Qj9ePPfYYgMDSavpEn3pCuaDwbhpGREPIMbLm8L6D+sUVbbfebzlaATs8vCbNaJzX L0AOHDgQsI/X62XXJssyrr/+emRnZ2PRokUsupE3O9Lri7X5UWi80DBB82RmZhqaBUOlNeATddpsNrz8 8stQFCUgq3pTCDWw19TUYN68eZg3bx5sNhuKioowfPhwJvH/7W9/w4MPPhjg16aqKhYuXIgFCxYEPT7/ G5vNlxAvNzdXkxjPZvPlprFarWGt4I1WkJIkwWq1miap7NSpU1B/AzroUJq6gjxx4oTms5Fa2whqlgwH p9OJ5557rsnHiQZ0wL3hhhs021VVxcyZM1FfXx9gftBrY83qolFtWVFREUaMGIHCwkJ2LxujJYwFNOGk /t0OJz+QqqrYuHFjwDsIAIMHD47ZhGCz2ZigES4X9uwd1n5/XfNZ8B1IeAtUSQIUWYYi+3N5ScCQK6+G NcHqT6JqxZArr4YkAQPOP4slU7X6c3cFW8vpnwXVuOjNbTU1NXA4GpJu67FYLEE1RHo3DT0ZGRlR0fry 4zCtusHXraW+Znr0dR3pOK8PrJowYQImTJjQKO0Rr0nTC160cgwd3820kYDvGSmKgsTERGRnZ2PSpEnY sWNH0HE5FoErPELjhcBVgSzLuOmmmww7vVFaA5rscMeOHQGJOmngAM2REo0BNTU11TS1giRJGnOQ3oYP QFM4VA/VtATTNOn9m8yI5NqNnE1vueUWlsiV95mhjB8/PqT/EC2g7PV6m2S+cTqdeP31102/t1gsuPXW W7FmzRp4PB42mFANTrjnNVqBWq1WqKoaE78nm81m2OepSUw/ueTk5GDhwoWafqQ3tRnVvtRfc0ubVRsD nRCoxpdOUrm5uXj11VcN+2ww6EIjGouzpvDvf/8bJ+s9ePnFF0LvDODwt34ftrf+DvzaINVEuJhMrBar FRPuu5d9ZiZESOzzoPQMvPjK29heuhlDr7oWA4f4xuQzEiw+YYs0aLqCmRqNFn/JyclISUkJ8CG12RqS bvO1VWVZxn333YdevXpp+gU9h91uZ64Leu0aXaQ2VeOpt3CY1RSmffi+++7TOPbzEf1GfrKRlBMzgy7s 8vPzDYOJUlNT2fH0yZwpiqKw4CreH00vpNEcYIQQlgkglq4MQvBCZBN0SkpKgOrWbrfj+PHj2L17t2ai dTqdyM/Px+rVq0EIwaZNmxpt6qKYmUWpZofmCFq9erUm6acRZtvpBKDPkE/3D1cA4HOPhbp23tkUAEtE aWbGy8zMxL///e+QbcjNzY1KBvNgKy7Ad8+mTJnCItSys7MbdV673Y6kpCRN1vZgGdtbArOkmqNHj0ZG RoamXdR3kNauMyqWzWsPqPCmv7dmAQbxBr1uvRlq69atER1HkiTccMMNja4nGm06nX22+ZdeD6A0TB3s /azaFfV2DPvlTch7cipGDL+Wbbu8Wyfs/OYnpr2iAljK4AxcnjbUpwnjtrP9JJ+T/YDzzzI8l9HkTmvs rlu3jiWw5heRRUVFKCkpQWpqKjZs2ACXy6URnvl8j/xCbN26dRgzZowm23z//v0xfPjwRkW/88IRPa9R tLmZo//ChQtZGgoa0X/ZZZdh0qRJrMIJH9GoF1KpljrSdttsNpw6dSpgO63WcfHFFyM3NzcguAnwzXkv v/xyQFYEvUDLC7Px4FgPCMGLEe4EbTQBP//88wCgSZYJBEa9RMOubGQWtVgsuOqqqzQrbGr71kd3BFO/ UoFrzJgxSEtLQ3l5ObZu3Yo9e/awlcLo0aMNU2wAgRGExcXFzD8onGgYPsLNKJEhRZZlPPvss6bHMTtu U6D+H2ZtcrvdeOKJJ1gx2o8//hhz585lqzDajnDaqvebAxDTZKJmaSwuu+wyJCcnIy8vj2WCdjqd2LVr lyY6r6amRtM3qImBFpu/8847sWzZMjZYxoPWJxL0ZqiSkhLNwN+xY0ecPHky4Hf8+5iQkBA3QhcAnHNu 4DPPHHkzuvXqgzdfzAYmr/RtLH0t7OjHUEiyJSDq8djR7wJMgx2sit9pHlAkGYO6d4JbVVH+zXEQ+FJI KJKEKy7w+cL6HOolJnwlWIw9bIwmdwCoq6tDfn4+PvjgA80isqKiQuPvS39Lnz3fL/har9QXuEuXLprz ffbZZ6isrIy47+uTVd94442aCMBIy6VRp3W9No4/ht5CAUTuy0oJlhybVuvQn49quuiYw887vEBL/b7i 6d0ChOClIZwJ2khFzAs4vXr1gs3my1CuV1sbrf7DhXau2tpajeCXlZWFUaNG4YEHHgj4jSRJTKNw8803 49133w0aiUNX3AAME8oSQphZVZ8hXv/yFxQUYPHixez3ofLa8ITSLj322GMt/hJRrWiwKEte8PV4PLj/ /vsh+8PYk5KSwsp/w5sIqLawOXPnhINZGouZM2ey58tnvKZ+S7T/1dbWBuQBeuihhzBz5kx4PB4sW7ZM k6R17NixzX6t0SxnRQVJo1p9AEIKXQAwatSouJoYfjxWA0mWQVQVkCTckP1HPP3cizhZ78Hxn47jfbrj 1mXRO6mnLmDTFxXlyLrlJnys6/98UlRZlpAoK36TouQvgi1pnO9VQkxNjBSqbdaXCyKEYOXKlezfVADR m8f4VDP5+fmsJBQhBBaLhVkQVFU1FDQIIairq4t4cc4LePX19czCwu4VF20e7Bj8otJojNMfY8yYMdi4 cSP279/P0gY1RrGQm5uLgwcP4tVXX8W3336r+Y5WuNFbRKiAx+d4pFq9nJwcLF26lL2P8SZ0AULwihib zYZHH32UTTqKojBNCN8xa2trA35LCMHDDz8csbmRzxek9706fPgw1qxZY/iiKIrC/KQAbdLRiy66SFNa QlEU9OnTB0DDi2wU7VJWVmZYFsNo1c+/yMEEKT12fzSdUb20rKyssEyMzUFubi7Ky8s1kY2hoNd9+vTp kKp4I9+nphT3bm70/YNmvOb9B71eL5577jlNomHqd8iX0OHLfjS3tiva5ayMor5SUlJQXFysSQrLEyog I9bc8MvrMCv/WbjdLlgsVthv+w3TGF08IAU4EfgbxWJBo+O35/0RpC5QQAUAt0H/lySfQNUxUdFso3/8 7e3XtSP2fXcCnTskoGfnJNMmBPM54hcGkiShtrY2INiGZ+XKlWxclmUZs2fPZrnaaF1XIxqzOOcFf75k FTUZ6t0BzI7Ba5T0C4OsrCxm6dCXzEtISIjYl5WHus/U1QUK3kePHg0onk0pKirChAkTAkpsTZ06tVmi MKOJiGqMEKfTiYKCAo0m56WXXtLkjyoqKkJ+fr7h4MpHioQLny9I/8Ju374dq1evNvyd2+3GqlWrUFhY iEWLFrFyJoqiGCZ1XLBgAUaMGMEKoxqVPlm5cmVANBvgM0fJssxWV9nZ2ZqIQppvKxxsNl9BcH20UGJi YszTDOgz2EfCokWLgkb/6E0TiqJEPXdOY8jJyTGNLOW54447WJQSXenTPkvfBZqfTN+P6fdutxsVFRVR vgIt+kVCpO+jEfqoL5vNxnI0hcOxY8ea3IZo8svh1+KV5e/g9w9Owd2PT8O+HU5UfFKGJIuCr/YbPB9J wsg7ft/4E54+3nAoWcZlKWmwJiT4ohQN+r8s+bLPX3LemZptvoz12kOfmehzsE+yyEi0BO/H1GG+sLAQ /fv3D/ieanby8/Px2WfmUZrUpEgXTzU1NbDZfHVdExMTgwYvRZoomQqMTz/9NObOnYvExEQoioKkpCRM mTIlIBrR7BgOLkqTn7usVqvGvYR/f7xeL+69917N/Bcp+fn5OH36tOF8mZqaynJ98bm3nE4nHnzwwYA0 GTRRKgDm5lFUVKTJNxgPCI1XhOidCt1uN1599VVs2LCBbQuWciISk1s40ImNOvxT4Uqf6d3tdmvK7egn Pro/DZWmK4ba2lrs2rULZ5xxRoAKm5YCok70dHVXUFDA1MfUyVpVVUMtoBl6h+4ePXrgqaeeivnqxczR PBz4dBBGqzG9ySqunEEN8hvx0Ink7rvvBgDTSNRBgwYhLS3NtB4l4BNQm7OMmP4+N5dQa2a6MmLLli0t mqMtHDKGXYmDNT/j7/fdCY/bjbeKCjD5H//C2hXLgIm/1uxrUSy4eMBA4LjJwSLAYrFg/NSn4fKq+HrP dtx4/S8D7svAC86GVZE0AswFnZLwTW0dJEjodlaiZv8Lz+6AczoEpk0wwul0ory8HF99FSTnGBqywIfS XvIpVXjtaG1tLRwOB8rKysJqVzB4oaix44bNZkNGRgZWrVql2a7Pwah3t2lK2b+ioiLDiEZJkvD444+j c+fOhlnz9e4okiTBZrPh4Ycf1kSVU9NuqACDlkYIXhzh+H0YRb5s3LgRv/jFL1g+K72zIDVFSpKERx99 NOIHn5OTE5ASgodqFiRJwjXXXINzzz0XK1euNDQV8tGJevgQYr2/Gy0lwpeWoMehKyBqYqLCib7kyaxZ s5CVlRXW9VMNGj3ft99+i0mTJjU5KrSpGPn4hYssy0HrntFBmfoxxPpaKcXFxUETRQINUUiyLMNisZj2 se3bt2Pnzp04//zzA/w5KN27d29ym4NhZBpsLqggSoNVzARSvgJDvGC1yNi7wwmPmyYmdeHjNavh9XiB N6cC5/Rg+3o8bry37P+Am2c0+bxDrx0BANi7w4nhw4dj8NBhAfsYOchfeHYHHP6pDueflYhunbQmxQs6 BZoYjQRuo4LXZvDR33yVDvod0JB2xWjBlpWVhePHj2sEr8bUZ+TbTQNW5s6d26i+ZDS/SZIUcK94N4HG uM9QFi1aZPpd586dTRdJ1B2lvr6e+ZJu2rRJE1Cgz1EZTy4bQvDyE67fR01NTUA6CQCorKzE/fffjzVr 1mDUqFHIysrC4cOHWULJiRMnwuPx4IUXXmAhsuFis/kSsY4fP15j4pRlGd26dcM333wDwPcybNy4EVar FQkJCUzap+ZFRVFM00tYrVaMHTs2ICqFd/bmV5c0eodOXlQjQjVbRUVFAf4tfD1I/fHpBEizmNPq9Pz5 Yp1tGGjw8aOavHChoc/hFPNesmQJXC5Xo3LjRBun04mFCxeG7ZNEBzgzqKnGTOiSJAmjRo1qVFsjIRqR rsHQjyc5OTlISUlBZmam4f6xTuhohCJJSB12Nd6Yb4XbTQBJQt8BA7GjdBPwzV7fH8dXn+0Fbm76ebdt +AjbN62D1+PFm4UFWPne++h5nfF90xPEghcWDn/UeDj9/fzzz8eVV16Jyy67DLt27UJqaqrGV4ma7PS1 Y3kB6aqrrtIc87bbbmtUv6TtNqrSEW4gSVFRER544IGAax89erTmd3pH/KYINGaLLEJ8JdnMFkn89qqq Ko3PKJ3v+DaGE2DQkgjBy4+R34dRRwrm+A34yr2sWLGCrfypvd7r9bJJJ1TpGqMX5eDBgwERhpIk4fDh wwG/pxF1QEMiym7duiEtLQ1r1qwxVO2OHTtW47hI26F39tZDVei0k1PNhxGEEBQVFaFTp044fvw4Kw5L zaCTJ0/Giy++GJAugxIvk1Njihf36tUL5eXlSEtLC2rmov58QONz40ST4uJiU5Ngc0AIwYMPPggAzWpu bG74ibCurg7FxcXo1auXqab0kUceiYuVOI9FkZAyOAP3TpmGhTOeBFFVvLm0CF3O747qb6uidh7p9HFc lpqBz3dvBwiB6vVCpeOl24WdW7fgxjAFr56dz0DnDo2f1pKTkwNq/5k5wldXV7OxlGpcrr32Wmbt8Hg8 6N27N0sFM2HCBOzcuZNp01RVxebNm2G1WptcKstu1yYB56t0hKNQcDqdhhHbFosF3bp105jBqdafjgsW iwVVVVWNMpVPmTLFNNqeVmgxWyTx6YdoFKOiKBgzZgwAnyBJFQ9xl1KCtAKGDBnS7OcoLS0lHTp0IIqi kA4dOpDS0tKg+06fPp3cdddd5OyzzyYATP8kSSIJCQlEURTN9oyMDMNzmLXjkksuMTw2/S/9NwCiKAqZ MmUK6dChA5Flme2jKEpAO+j+paWl7LroOadPn872l2XZ8LeyLJMBAwYEvQfh/vHXYNTGwsLC5nn4EVJa WkosFkujrtFqtZLCwkLNfebJzMzU7D9+/PgYXGED48ePj8qzbcx9CvYOxjuFhYWGz92o30iSRKZPnx6T dq5fv17zx1N7ykXWHfie3PXwVCLLDeOA5B9TDP9u/QvB5FUR/Q2x30j+vuhtkpCURGRFIdaEBGJNSCRy GGNxtJk+fbpmzJSDXavBWGg0hlmtVmK1Wk1/179/fzJ+/PgmX2dhYSGxWq1ElmV23/gxXFEU0342ffr0 gHb17t2bJCYmBsxFpaWlJDExke1nsViCzpv6ecXo8/jx4wPmF3681/8m2Dno8Yza3pIEk1uE4MUR6uEa MX369KACA+3wqampYU0uZi/KXXfdFTBYW61W1rEKCwtJVlYWURSFyLJMLBZLWIOGJEmksLCQlJaWssGB tksvBGZlZcVkEgZAsrKyovqsm0phYaGhIMoPwmbCWVZWlmE/00/W+sEnFpSWlga9zmDXH85+iqIQSZLY 4M3/PlbCSDTQjwtUuDLqN4mJiTETMoMJXifq3MTx5VEy4z+rSGKSbxywWCwEZuMd3T5ucUSClyUhgdw7 dQa56c4/kaw/3EPmv7WGzH/rfTL+8afI+o2bWvR+8GNeJIsr2ocbO75FSzgwEmrCUSgYvecZGRnsPebf R1441b/zI0eO1JxDf/7CwkKSmJhIJEnS9Pvx48dr3hd+vI9UKUL3TUhIiIpA21iE4NWM6F9Uow5ppmkC AjUaRp2MbuNfclmWAzqWXkNFVz/BJj06seuFKtrx+RfZSDCI1h+9HrP7FMvJyYxg2qDMzEzTgZg+P/0g MnLkyIB940H44FfSCQkJIYUqi8USsFAIJXglJiaSKVOmBKzYWyulpaUkISHBsP/yk4wkSTHVagYTvE7W ucnGgz+QFRWHyYKS98ljf8sjz86aQ2T9OypJROEFsnGLwhe8rvqD7z7IMpFlhSQmdSDz33qflP6vhmz7 +hg55fK0+D2hY96UKVNCLqrp2JWVlUUKCws147TZH10w64/RXO96uAoFflGgKErAO0znimCLMSqA0n31 ioSMjIyAeWb8+PEajaB+rA9Xaxfpvs1NMLlF5PFqJE6nk+ULKSgowIgRI3DVVVcZ+gPQfCfhwOdk0Scn pRC/f4DX62WZ8oEG2zutQv/II4/g+uuvx8iRIzXnyMzMxPjx47Fp0ybmR6P3FTPyHVuzZo1pu4PlpQkF tcE7HA6MHj3acB8+FUO8YJbTS1EUDBgwIGgUKvX9ycvLY/llsrOzNftZrda48GnLzc3Fhg0b8MwzzxjW CeW55JJLsHHjRlx++eWaPG5mUN9Ht9uNzp07s/PES9h3Y6Hv7fjx4zF+/HhNkEROTg6SkpJYrqV4LY8k SQ3ldgamZ+CBSY9j8kMTMPz6mzT7DRiYhsf/mQ+r1Z+uIdzksD//6Cs5BICoKouc3LVtMyQE5uOKNp9/ /rnmj0JL4oTq6xRCCD744AOkpKRg3bp1GD9+fMO94Ojfvz/Gjx+POXPmBHzXnP6r+hxzZuTm5uLll1+G 1WoFIQRvvPEGG9f1kZn8eG+1WpGRkcEi3akfMy2kTXP7JSQkIClJG11K80xSHy9JknDvvfcaptkJJ6dh JPvGEuFc3wj0mXslSTJ1CA8FHXT1DvVGHU8f4myUE4wPY37xxRcDHKNlWcZNN93EHD758/JhzWPHjg2I zDr//PNNr+MPf/gDXn/99Ygy1FMIIUzoePfddzVtpU6c8eJYz6OPcD3rrLOQlpbG6kguXLgwqGM6IQRr 167Fpk2bWO6dKVOmwOFwoHv37qY1MWMB7ZN8pmgjHn/8cdhsNlRUVLCoLhLGRKyqKsrKymC322NalzKa BHMKjvfM2kBDlnaalJSAwKrImPzYY9i8/iO4XS5Isowu53fDJf0GYN6yVVj+xmv4QFHCy2D//cGATRZr AgZfeQ0kCejb5Sx0sIZO3NtYjhzR1pjs27cv+zdd7JIwcnURLuLabrfjq6++Mlx0denSBfPmzcOMGTMC aujGS3BFeXk5E4KIPxWGqqqaRWBxcbHm+i699FKMHTsWO3fu1KTVcBhkkdcHXulzcRktRPg0O9XV1Szd TjjvFhBY3i4eEIJXI+AjIPX5QiKFZukOFnlCO9Odd97JUkcAPu2CUZgv1SAYwb9AesFqypQp2LVrFyt4 PGPGDE2kpxmSJOHNN980vQ+ZmZk4evQo9u/fb3qM8vJyzUsPgCW+o+eIN/hcMqqq4ueff8b27dsB+J7Z fffdF7S8EI0Ura+vx8SJE6GqaszrMgbD6XRi8eLFpt9nZWWxorWTJk1ifTFcVq5ciQ8++CBur7+94dN2 AQmKDAkSzkr0TRfDrrRhwl//hTlPPwHV68WGD99DqWMd5i1biclPP4dPnnsD3yFE2ZuvtgPvPqfZdNWI URjz4J9xxeAMSBJwVlLspieaR5BGxYXqxzRrOk0VYbQ42bhxI4qKiti4wS+kZ8+eHXaOw+aCpo6h0LbR +YTOVYsWLdLcj3379mHixImYPHkyZs2axeomGi2Uafk6Hpr+YfDgwUHrtC5evJjNQ8FS7fDRjtEsDRZN hKmxEVANFC2LEgqr1WpacqWkpCQglUVxcTEmTJiACRMmMDOUzWZDenq65rf8Co22K1hpF6rGBXyrAJoY k563c+fO+OCDD5j5kVfbKopimnuJvphG98JqtWLbtm04cOCAabsAn3Zo69atAdvp5B2PpkYqEF9//fVs kOZL0OTk5LASOXpGjhzJzE00USwtcsubH+MJh8OhWel26dKF9e0OHTqwUHheWxAOvJY2WiV84hk6IejL oMQbkr8ET5JVRr+uHdGloy8bfAergtMnan0FtP24XfVYU/IGPt+1A/1rdkB+/VGg6F5g4X3GB68+ALgb UvL0HzwM+Qv+g4FDMpiJM1boFw56rcyAAQM0+8uyjDlz5rAcfXTBeOGFFwYcm1Y1ufvuuzF06FA2h8RD v9e/30BDQlhVVTFhwgTk5+cbLurdbjfeeecdzJkzR+MqoO/raWlpAWPioEGDoCgKPvnkE0yaNMnwfXDo KsaEul9OpxN5eXmoq6tj42qs7y+PELwagX7CNUOSJIwfPx4bNmzAyy+/bLhvampqgICzYMECzJ8/H/Pn z8d1113HOqI+saT+s81mYzlMeOhxk5KSkJaWxl6ExYsXw2KxmNrDeX+zMWPGNMqMaLPZ4PF4Qvq4eTwe lrfFiGiXWooWfP01/X202WyYPHmy6W8LCgo09dWo8PbRRx/B7i/FFE/wCw7AZ2qVJAnjxo3TrCb1+wXD YrHg9ttvN7x/bRWjnIHxChW+NNsApA67BopF68e06s1XMOmPv8LGt1+B/MPXSO1/GXD8e5MDa/tGjz6X weLvL7LBOVuSYAsHQgi++OIL9r5aLBbMmzcPubm5mnE8MTERQ4cODfh9ly5dMHz4cBQWFuKTTz6Jm3qs QEOhbIr+/VVV1bDqAoVqvqqqGnK8FRcX4/Tp0/B6vairq0NNTQ02btyI1NRUts+uXbtY/V+zhae+bcHu FxX2PvroI00m+0iLjzcnwtTYSOiEu2nTJlPVMiEEnTp1gsOf+d2I559/HhdffDGzYW/cuBH79u1j3/OS ur68glEx1ZycHI1K1mq1wmazoa6uDmPHjkV5eblGxT1u3Dj06tXL1AZulqQu3ICBuro6TemfxtLU3zcn wXx2jh83Ll730UcfYdOmTUxgSUlJwdixY7F//362Ao518lQ99Drz8vLw0UcfQVVVuN3ugJp2tMh5SUkJ UlNTceDAAaxatco08KRbt25Yv3593Ps8RQs6QTd3rcho4BOCfOFmPClDhuKfi9/Ckn//HV/s3Q34tdJs oiMqXMEWanxxY4sF193+G8iST9C78OwOOL9jovlvmxn6fOi4rq9/6/V6MXbsWPTq1QvJycmoqalhyUP5 caCiokLT7yVJwrJlyzTHUVUVt99+e1z4c9KAEOpD1alTpwCfrFDF3N1uN+bPn48lS5bgpZdewoIFC9h3 xJ+NHgD27Nlj+HtVVZnfq76cGt82fYUVHiPB2axsU8xoashkSxDv6SSmT58ekPiS/tHEo8FyvMiyTC69 9FLT72kyVH1os1kYOk0gl5WVpQnT1SfyizRFQ2FhIRk5ciQpLCwMmceKbzu/nyRJpH///pqUBOGEbMcy yWRTCJWAlOa9KS0tDUjTEOvkqWbo04pIkhSQYFGfu2f8+PEkMzPTMBVFPKYKaW4akzOwOQiWTsLrVcmu b2vJ1spj5ESdm23/ud5NNh38gazYc5jkv7KaJIXKe9X/Om0KiZsmEVh8qTY6n9eV/Kt4FXl7z2Gyo+pH suvb2ri4dvp8aLLjKVOmBKRWoP2c5uzj0y3QBJ6hxjU6Lse6H+gpLS01TG+j/+vUqZPpd/rUEXS8M0rW qv9rSioI/rnQ+TUW6WmCyS1C49VEqEaoqqrKtPgtXTWZFVdWVRVffPGF6TmMJPjExETTMHTaphkzZmDl ypVsu9vtZv40RmG7waB+Dy6Xi0Xh9ezZE5WVlaa/ueuuu3D8+HHNNVssFkyaNIk5k4fjuAoEVy3HMzk5 OVi0aJFpsMOHH36IdevWoWfPngEaIbN0FbFGH81JOB8VPv0JNR3QZw3AUOsVj9q95qa5a0VGA1mWMKj7 2dj29Y+aDBG+aEff9wOHZODVt9/F5zu34qvKSiwsWoAA/dj+9cCoRxo+byoGPD6NfJdu3dF3UDokyVfI ukvHhOa/sDDQP58ZM2awPk+1J3xZKFofEQAmTZoUVpFtCo0AjJf+QNNABAuoopw8edL0u6SkJFgsFk1k d11dHd58882Qx7VYLI0e73nNI9VIxpsmXfh4RYmcnJwAm3i3bt00Nn9a6DorKyuoE7yepKQkTW4SfV4g M/R2cVo8uzH5g/ST6QMPPBBU6AKAL774QhMFpygK5syZExCyHIqsrKyYF4tuLDabjRVKN8Pr9Rrey7hS jXMY+YLwgjHv68IHDgTLa7ZkyZK482kT+KCpJHh8ebYkJFlkpGcMw9SpU3HXH/8Ea0Jg/qoAOP+t6+/4 AyTJV5C73qPCqsTnlEQjEelYbrfbA9xHvF4vSkpKIgosAeKnBi2FBl1RLrroItOo8mB+v9u2bcPcuXOR lZWF/v37Q1EUbNy4MagvLyUSpYARNBdbPApdgBC8oobNZsM111yj2fbdd9+BEMKcj3NzczFv3jy8/fbb ePnll8MWvgYMGMCc3B0OB+bNmxdWR9IncdywYQPWr1+vSc4aLvrJ1OiF07+cJ0+eZKsd6oQdaeFjWZaR kZERdy9OJASLbjTDLBw7XiD+/EYWiwW5ubkB/hi0v9LAAUVRgt6DeIxaFfiQJQkK925LABOWEi0K04YN u9KGR/Oehewf12RFwYV9Lg1wwpcVCy7scymG/fIm/OKy/gAAqyI3e8LUpkD79Lhx43D33XdjxYoVGk2u LMtITExEdnY2CywJJ7hEkiTMmTMnrse3M888s1G/c7lcqKmpwdtvv40//elPQYU0fu4IZs0xgiYz5xdu 8R45LEyNUaKoqAhbtmzRbCOEBGSXdzqdKC4uxoIFC4I6jCuKwhLXNSWztZFJozEvOa++ra2txfPPPx/Q flmWMXr0aJYJmgYJ0OgfwHf9OTk5rHJ8MOhgFs8CSDjYbDbMnTtXk3xUkiQMGjQIu3fvZqtjWZbRt29f 9O3bNy6cbc2gYefEnxyV798U+tnhcKCgoADl5eXYuXOnJkkvFcY8Hk+rNSW3B1IvPBuKTiqSIMGq+EyO hG0Djtf+yDaoXi++/d+XsFisuNA5H9/WWwFJAjlxFNU/1+BI5VcoL3Vg2oI3MXTYlTBRqsQVS/+/vXuP i6rO/wf+OmcumAKaKKJY+vUOAl5AFNdYzNXNzQzTxy9NH1aaqGmm7SPbbo+lrY1KK7tYv3Bbs4u6j91a M3zQaiiJNmXe0my1zcs3wcsiqKghc/t8/8BznBkYBJk5Z4bzej4ePpyBw5nPG87MvOdzeX9WraqzmErZ eSM3N1e97ufPn99g8WSg9vmurIgMJb7TIw4dOnRdtSqFEGqvYExMjN9zSJKE2bNnez1+U6bA1Fery3OE 5vLlyyE3lYGJVwDYbDbMmzfPKxFRqnZLkqRefPn5+eoT8loXstvtxuzZs9WkKxQKwSmPOWrUKAghYDKZ 8Ktf/QrffPON+uY5duxYfPbZZ14vTH379sWRI0ewYsUKrFq1Cg899FCDj5OZmYmpU6eGbDfx9cjJycHh w4exZMkStSK0b0FZt9uNQ4cO4dixY2pNrFDUmFV5ni+ISqFYz2vCbDZj+fLlSE5ONsxqxnDlm3QBtT1e FpPslSxJEpCWMQIWqwX2miuFpYWA2+1CQpcYlBf8HU6nA5Ikw61sFWUXOPCtDSOGD4eka/Wua1PezH0/ MMqy7JV0VVRU1CmsbTabERcXh7KyMvV9IScnJ+SSLuDq9Ih33nmnTh0zhclkQt++fdVV2PXxXEmolJ6p 71ir1dqkZMtTfaVZlGFGZU61MpXheh8jGDjUGADFxcVeF6fFYsHvf/97dQnyQw89hMceewxz5871W2jU l3KMb/aud90fzxcfIQQuX76MsWPHqsOpFRUVdXrCoqKi4HA41E8fS5cubbC3a/v27UhOTm7U/mLhwmaz 4ZVXXlH/rsrf0vdaUCrZh/KwW337ifryvGadTmedv/cjjzyCnJycRu8jR6FFkjxKTVy5hCPMJkz47Ugs ee9j/GbiNFisVsgmE8wWCzLHTcKT//9vmDj79/jdtJyrVdHdbkS1u1Gt4RXKlA8cvlMq7rjjDq/r11/v jpJ0AVeTjVDluZ+oxWKpM2w6efJk/PTTTw2+lynV/PPy8hATE1Nnak16ejrmzJmD119/HcXFxdc1HOg5 Bca3huKMGTPUv1WoTWVgj1cAKBMva2pq1CrGe/bsURMQu92u9nQolN4ipb4WAK/uVt/zh0rdH98aN8rQ kSzLOHXqFPr06eN1vDJxVDlOGZ7y/L7vp8NQW+UTCMVXtnNqjFAr9lefa63KU64Tf6u7GjPBlkKTJF2d 5xXf9gZ0aHN1JWJUhBnJqenokjAIo7P/H/Z/+xWS0objf5IGwy0EeiYPQsF7b0GSZAjhhiTLuHj+7JUh y6YPZ2nJc8/Ad999V+3l9+ydVlZ/+37Q8H3uX08xaq3k5+fj448/xl133YXy8nIMHDgQL7/8svp9SZJQ Xl6uvr9JkoRbbrkF27Zt84rL4XBg7ty5kCQJVqsVd999Nz766CP1+1lZWcjOzm7WaE5DNRSnT5+u1p7U +33Tl+aJ16FDh3D33Xer948cOYI//elPWLhwodZNCRjPgpHKPodz5871OsbzzUeWZbz11lv1djM/+OCD cLlcMJlMajmBUNpU17eIphKX2+3GunXr1E3Dle70WbNmoV27dl4T8pVtMkwmE4YPH15vGY5QTzyayrPr +1pCrtjfdfB9k/Itp6Fsik7hqTb5khAdYfZaiagkZJ7JmdI75ha1RySlZeCTCCucDgfMFgtS0oeH9MR6 T8oHjunTp9f7eqyUmLgWpQcm1D5c5ufne3UASJKEzZs3e71uCSHQsWNHtTPAZDKhffv26odoT8r9mpoa fPPNN17fe/XVV1FVVVXvUGFThOVm9M2oD9ZsTqdTdOrUSRw7dqzB40K5gKoQ3gXbTCaTyM7OFu+8846I iIgQkiTVKTQ6ZswYtRCpr8WLFwtZlusUpQwVnoUFrVar3+J3kiSphTF9C9rhSlG7qVOn1nsOWZbDsljq tVyrmCrqKUbaEigFJTMzM0V6enq91z3po6Eiov44XW6x+/g5YTvqXVhVCCHcbrfYeviMyPtgvbC2aiVk 2SSsrVqJ5z9YL/62p0x8tOu4+PveMrHkw8/EfYueEK+sLhBb/lMudv58Vhw/+0sQIvSvqqrK618g+BYX TkxMFNnZ2XWKRIdq0eD6iqbKslyn8LHFYlELIyvvc9d6bavvvEqRb72KnAZTyBZQLSoqQs+ePdGtWzc9 m9FsnoX0AGDdunUoLCzE66+/joqKCvz8889eq/g2btyo/n/48GFkZ2ejuLgYBw4cwOrVq9VeJGWuT6hk 6r4rSN544w0UFhZ6bYuh1HfyHD5UPnksXLhQHXJ0u91YvXq11/mVeQQtYSVjfZSub3/Db7IsIycnJ6Qm gQZCOBQLpcYzyRIGda0trOpLkmqnyB/41gan3QG32wWnA/jhWxt6JaVe6QGTkDBoCFLShgKonaTfq0Mb REVo+3YUFRUV8HN6FheWZRnTpk1DVlYWCgsL1ako48ePD9lVyxMnTlTfn4CrK8sfeughr7m5LpcLFRUV uPnmm70Wi3lueN8QpRRNYWEhXC4XZFnGsmXLQvJ3Egy6Jl5r167FlClT6v1efn4+8vPzAQDl5eVaNqvJ srKy6tS2UmqYPP744177HAqfVSJLlizBa6+9Vu9Ea0mSQioB8Z3kr9RoUUpkKFasWKGW0vBMHHfv3u11 PuEz1+uOO+5AXFxci0s8FJ7DbytXrqwzJDF+/Hi8/fbbOrWOqGkkj4n13l+XkDQkA2arBU5H7YexpCFX n8+y5D05X5aACLMMOVzGGxugzPf1nVckPOrehWrSBUCd/qLss9quXTt1mK5nz56YP38+XC6X14djzyHH GTNmYPr06fjDH/7Q4IbakiRh2LBhKCkpUX834T69okmC3d3mT01NjYiJiRGnTp265rGhPtQohKizd6Fv V7IyROe751dDXbShtoeX7x589bXN3zHPP//8NbujW2J3sz/K8JtyzZhMJjFnzhxDxE6h43qGGhXf/lwp qqoddb6+/UiFWP/9SfHK6gJx/6InxSurC8T670+Kv+8tE2t2l4p/7jshCn84Lb786YwoOXxGfH2sUlTb nQGKSH+++3A+//zz6vNclmV1f9ZwVN8eo557+CrHZGdn17svq+f7XkPvly1BSA41FhYWYvDgwejUqZNe TQionJwcJCcn+9093Xe4Rem2VbZUqU+ore5rzGRFf8c0VEBP4Xa7r3uCZbhR4lu5cqW6nU5+fj5WrVql W502oqa4wWJGK0vdMhCyJEGWaivZD0xLh8MNOFyu2sn2uFL1Xpau9HZdGZrStulB5fta77sS/IsvvkBJ SUnYPM89RzSmT5+Oxx9/XP2eUpvS5XKhpKQEADBv3rw6qziVSv7iyqp2zxGipu4b3BLolnitWbPG7zBj uGrsXJbs7GwsW7as3mJ8HTp0wJkzZwCEZlmBxsRY3zG+GysDyma7kteTMdSW/QZTcXGx12o/IyWeFP76 x9U/R0qSgFYWE2RJQmurGZfsTrjcV8YXIWoTM9ljs22pcXu2hivlw+gDDzyAH374Iaye574bZq9cuVLd N1cpHK4kWTU1NWqZDV9CCDzyyCOoqqoCAERHR+PVV18F0PQtgloCXRKvS5cuYdOmTXjnnXf0eHjdeb7h er7gREREYMSIEVi3bh2AllFWQJGVlQWz2ey1+arValUXIITqLvLBFBMT45WIGi3xpJZJkoBW5qs9YWZZ hjABl51uyFcm37cyy1d6wGo329Zjc+wTJ0543e/SpUvQHmv//v3qFmpA6M3f9cf3w6FnwuhbONxkMvn9 HQohsHTpUgghYDab1ZEeo02qV+iSeLVp06bFJBTXw9+w29ixY1FQUKDet1gsYfHkbAylkrCyDYXSvaxM 5rTZbCFVWVgLvr2APXr0wKOPPmq4FyFqWZSESinwXptT1SZaysR6syxDiNrbqTe106WdP/74o9f9YCZe H3/8sdf9xtTzCwUxMTFe02FkWca5c+fUavS+hcOTk5PVFZy+lNc5z0ROCIE9e/ZoE0wIYeV6Hfjbt6qy stKrm3bs2LEt6k3Yt5Kw0r3sb6PTlsxms+Hnn3+GxWKBw+GA2+3GkSNHsHDhQiQnJ7f4+KnlUuZ4KWp7 tURtKQlZUud1KcVVjcC3TIMkSSE/1KhU4VemgYgrK9VfeukltczEsmXLvEYsAGDLli3Izc31itcfIQTe fffdFruS3Z/Q3yCrBcrKykKrVq289vySZRmXL1/2Oi4uLk7rpgWVvz3+QmkvSi0oiaZSdiMtLU3t+TJC /NSyDYpve7V6/ZUJ9JIEmCQJMoAbLLV79inzu4wgJycHixcvVieZh0OtQs99eX23dVNeq5TpIQsXLsTT Tz+NUaNGAQByc3NhtVrrPa/vXpehto+iFph46UBJQGbPno2IiAiYTCZERERg5syZiIiIgCRJLXbCYX2b Iiurfnw3Om2pPBNNl8uFwYMHq9eBEeKnlk2WpatbBuHq9kImuXZ+V4RZVr/f2mKcQZcXX3wR27Ztw3PP PRcWvfqer8u+G1wr+y9mZWWpBcRdLpdX0e/i4mLMmTMHCQkJXj97yy23eCVlRnzNM85VH2L87fmVnJwc mntLBVFI76kVBMoLmueQq7+934jCkdKTpczjUibcO1xCHWqUJQmJflZGtlThtIuD5+tyTEwMFixYALvd DrPZjJkzZ6rDg/v371fnb7ndbuzYsQM2m02NVVkZ6XA4YDKZkJiYiKlTp6pzu4w2zAgAkgiDdbxpaWnY uXOn3s0gChhlMQETLdKT7xBPoHoe/rfyF5y5ZIeAgBC1G2Q7XG6cv+xAx8gISABSukQjwmy65rmCJVix t1S+9byU1628vDw89dRTXnW5WrVqpfbqKT936tQpFBYWwul0GmIub0N5C3u8iHQQTp98iZqqW/vWsJpl nLlkh93phlvUTq6/wWJSe8P0TLro+iiLozwLPSvbJCl70AohUFNTg9zcXEycOBELFy6E3W6HJEnqfLFw qWMWLJzjRaQTm82GvLw82Gw2vZtCFHCdo1shuXM0EuOiastIQILVJEOCd90uPg/Cg79FUL5zlpWFQps2 bcLcuXNx+fJluFwuuN1udb6YEed1eWKPF5EOjFhCg4xLXeUICe1bW9G1XSsAfB6EE9+5qZ6Jk+ec5dzc XGzatEnt/QJqhx9lWcaiRYu8Nt42KvZ4EenAaCU0Qg17WbRzg8WEXh0iIUsSTJIEs3y1x4vPg/DhrxyQ 7zG5ubn1roJ0u9144403DJ90AezxItJFQ58eKbjYy6K9djdYANT2egmPLbH5PAgvjd2rd/ny5erm2crQ I+d2XcXEi0gHRiuhEUrq62Xh7z/4PEtMKPg8aJlycnLU0kgxMTHqBHsm17WYeBHphCsb9cFeFn1IEmA1 mXBja4vX1/k8aHk8S09kZWUxufbBxIuIDIW9LPro1SESbVuZ62wZQy2LUjDVbrcDAFauXIktW7aoVe4B GP45x8SLiAyHvSzaU+Z5hYo+ffro3YQWqbi4GA6HQ71vt9vx0ksvYcOGDXC5XIiIiDD8vEomXkREZDhd unTRuwktUlZWFiwWi9rjJUkS1q9fr1a299zP0ahYToKIiIgCQtkgOzs7GyaTCUIINekCAJPJZPh5lUy8 iIiIKGAyMjKQnp4OAPDcDtpsNuPNN980dG8XwKFGIiIiCjDP1cMmkwkzZszw2lzbyJh4ERERUUBx9bB/ TLyIdGCz2fiCRKSjCxcueN2PiorSqSUtF1cP14+JF5HGuGUNkf527drldd/oE75JO5xcT6QxbgxMRGRc 7PEi0hi3rKFQ8dlnn6GgoAAAMG7cuDrXYlpamnp7586dAX3sEydOYPz48epj5+bmBvT8RKGKiReRxjjp lIjIuJh4EemAk07JyOx2O7p06RLwXjSicMDEi4iIGq26uhrvv/8+ioqKUFpaCkmS0K1bN9x+++2YPHky TCYTgLpDiSkpKfjoo49QWlqKp556CqmpqfUONXoOb/ryPO7cuXP461//iq1bt+L06dOwWCzo2bMnJkyY oJ4XqJ1EP3v2bADArFmz0KZNG/zjH//ATz/9hE6dOmHChAlISkoK9K+JyC8mXkQ6Y2kJChfV1dWYNWsW Dh486PX1H3/8ET/++CO++eYbLFu2DLLsvW6rpKREnUvWHJIkAQAqKipw33334eTJk+r3HA4H9u/fj/37 9+P777/HE088Uefn165dq5aRcDgcKC0txVtvvYVnnnmm2W0jaiyuaiTSkVJa4umnn8aoUaNgs9n0bhIZ VEFBAdLS0rz++VqzZo2adGVkZOBf//oX1q9fj379+gEAvvrqK2zcuLHOz50/fx733XcfioqKsGnTJgwb NsxvO3bu3Kn+++STT9C+fXsAQGRkJKZMmQIAePvtt9Wk64477sDmzZuxZs0adO7cGQDwySefYN++fXXO XV1djSVLlqC4uBhDhw4FALhcLg55kqaYeBHpiKUlKJxs27ZNvT1//nzExMSgS5cumDVrlvr17du31/m5 bt26Yd68eWjbti1uvPFGdOzY8ZqPVV5ejvnz56OyshJWqxWvvPIK+vTpU6cdixYtQnR0NHr37o177rmn 3rYqMjMzMXLkSERGRnollhUVFddsD1GgcKiRSEcsLUGhYty4cXj55Ze9vubb63X27Fn1dlxcnHpb6WkC gMrKyjrn7tOnjzpM2BhVVVWYN28eTpw4AVmWkZeXh8GDB9dpR+vWrREdHV1vOzzbqujevbt6OyIiQr3t dDob3Tai5tKlx+vcuXOYNGkS+vXrh4SEBA6vkGEppSWeffZZVrCnkHfjjTeqt0+dOlXvbWVo0JNnknMt 1dXVePjhh3HkyBEAwJNPPolf//rXXscoj/HLL7+gqqqq3nZ4tlVhNrOvgfSnS+L18MMP47bbbsPBgwfx 3XffISEhQY9mEIWEjIwMPP7440y6KOSNGDFCvb18+XJUVlbixIkTWLFiRb3HNJXT6cTixYuxf/9+ALXD mXfeeWeD7Vi2bBmqqqpw+PBhrF69OiDtIAomzdP/8+fPY+vWrXjvvfcAAFarFVarVetmEBFRE02ZMgWb N2/GwYMH8dVXX2HMmDFe3x8+fDhGjx593efft2+f1wjIm2++iTfffFO9r5STmDNnDr7++mucPHkS69ev x/r1673Oc9dddyElJeW620EUTJonXkePHkXHjh1x//3347vvvkNqaipee+01tGnTxuu4/Px85OfnA6id ZElERPq64YYbsGLFCrz//vv44osvUFZWBqB27pRSx8u3lERTCCEadVxMTAw++OCDRtXxIgo1kmjslR4g O3fuxLBhw7B9+3YMHToUDz/8MKKjo/Hss8/6/Zm0tDQu9yUiCjDfVbRGWtxx6NAhr/t9+/bVqSXUEjWU t2je49W1a1d07dpVraEyadIkvPDCC1o3g4iIDIyJFulF88n1cXFxuOmmm9RPG0VFRUhMTNS6GURERESa 02Vt7RtvvIGpU6fCbrejR48eWLlypR7NICIiItKULonXwIEDOWeLiIiIDIdbBhERERFphIkXERERkUa4 fwIRERmOkUtpkL7Y40VERESkESZeRERERBph4kVERESkESZeRERERBph4kVERESkESZeRERERBph4kVE RESkESZeRERERBph4kVERESkESZeRERERBph4kVERESkESZeRDqw2WzIy8uDzWbTuylERKQhbpJNpDGb zYZRo0bBbrfDarWiqKgIGRkZejeLiIg0wB4vIo0VFxfDbrfD5XLBbrejuLhY7yYRGU5kZKTXPyKtsMeL SGNZWVmwWq1qj1dWVpbeTSIynLS0NL2bQAbFxItIYxkZGSgqKkJxcTGysrI4zEhEZCAcaiQiIiLSCHu8 iDTGyfVERMbFHi8ijRUXF6OmpgYulws1NTWcXE9EZCBMvIg0FhMTA7fbDQBwu92IiYnRuUVERKQVDjUS aayiogKyLMPtdkOWZVRUVOjdJCLD2blzp9d9rnIkrTDxItJYVlYWIiIiWE6CSEcXL17UuwlkUEy8iDTG chJERMbFxItIBxkZGUy4iIgMiJPriYiIiDTCxIuIiIhII0y8iIiIiDSiyxyv7t27IyoqCiaTCWazuc6y XiIiIqKWSLfJ9Vu2bEGHDh30engiIiIizXGokYiIiEgjuiRekiRhzJgxSE1NRX5+fr3H5OfnIy0tDWlp aSgvL9e4hURERESBp8tQ47Zt2xAfH4///ve/GD16NPr164fMzEyvY3JycpCTkwOAWzkQERFRy6BLj1d8 fDwAIDY2FhMmTMCOHTv0aAYRERGRpjRPvC5duoQLFy6otzdu3IikpCStm0FERESkOc2HGk+fPo0JEyYA AJxOJ+655x7cdtttWjeDiIiISHOSEELo3Yhr6dChA7p3767pY5aXl6Njx46aPmaoMGrsRo0bMG7sRo0b MG7sRo0bMG7sesR97NgxnDlzpt7vhUXipYe0tDTDFnY1auxGjRswbuxGjRswbuxGjRswbuyhFjfreBER ERFphIkXERERkUaYePmh1BAzIqPGbtS4AePGbtS4AePGbtS4AePGHmpxc44XERERkUbY40VERESkEcMk XsePH8fIkSORmJiI/v3747XXXgMAVFZWYvTo0ejduzdGjx6Ns2fPAgCEEFiwYAF69eqFlJQU7N69Wz3X 4sWL0b9/fyQkJGDBggUI9U7DQMb+2GOPISkpCUlJSfjb3/6mSzyN1dS4Dx48iIyMDERERGDp0qVe5/r8 88/Rt29f9OrVCy+88ILmsTRVIGOfMWMGYmNjw6LQcaDi9neeUBao2C9fvoz09HQMGDAA/fv3xx//+Edd 4mmsQF7rAOByuTBo0CCMGzdO0ziuRyBj7969O5KTkzFw4MCQ36YvkHGfO3cOkyZNQr9+/ZCQkACbzRb8 AIRBnDhxQuzatUsIIURVVZXo3bu3OHDggHj00UdFXl6eEEKIvLw8sXjxYiGEEBs2bBC33XabcLvdwmaz ifT0dCGEENu3bxfDhw8XTqdTOJ1OMWzYMLFlyxZdYmqsQMVeUFAgfvOb3wiHwyEuXrwo0tLSxPnz5/UJ qhGaGvfp06fFjh07xBNPPCGWLFminsfpdIoePXqIw4cPi5qaGpGSkiIOHDigfUBNEKjYhRDiyy+/FLt2 7RL9+/fXNojrEKi4/Z0nlAUqdrfbLS5cuCCEEMJut4v09HRhs9k0jqbxAnmtCyHEyy+/LKZMmSJuv/12 7YK4ToGMvVu3bqK8vFzbAK5TIOOePn26WLFihRBCiJqaGnH27Nmgt98wPV6dO3fG4MGDAQBRUVFISEhA WVkZPv30U9x7770AgHvvvRfr1q0DAHz66aeYPn06JEnCsGHDcO7cOZw8eRKSJOHy5cuw2+2oqamBw+FA p06d9AqrUQIV+w8//IDMzEyYzWa0adMGKSkp+Pzzz/UK65qaGndsbCyGDBkCi8XidZ4dO3agV69e6NGj B6xWKyZPnoxPP/1U01iaKlCxA0BmZibat2+vWdubI1Bx+ztPKAtU7JIkITIyEgDgcDjgcDggSZJ2gTRR IK/10tJSbNiwAQ888IBm7W+OQMYeTgIV9/nz57F161bMnDkTAGC1WtGuXbugt98wiZenY8eOYc+ePRg6 dChOnz6Nzp07AwDi4uJw+vRpAEBZWRluuukm9We6du2KsrIyZGRkYOTIkejcuTM6d+6M3/72t0hISNAl juvRnNgHDBiAzz//HL/88gvOnDmDLVu24Pjx47rE0VSNidsff7+PcNGc2MNZoOL2PE+4aG7sLpcLAwcO RGxsLEaPHh02sTc37oULF+Kll16CLIffW2NzY5ckCWPGjEFqairy8/OD3dyAaU7cR48eRceOHXH//fdj 0KBBeOCBB3Dp0qWgtzn8rq5munjxIiZOnIhly5YhOjra63uSJF3zk91PP/2Ef//73ygtLUVZWRk2b96M kpKSYDY5YJob+5gxY/C73/0Ow4cPx5QpU5CRkQGTyRTMJgdEc+MOZ0aNPVBxN3SeUBWI2E0mE/bu3YvS 0lLs2LED33//fbCaGzDNjbugoACxsbFITU0NZjODIhB/823btmH37t0oLCzE8uXLsXXr1mA1N2CaG7fT 6cTu3bsxd+5c7NmzB23atNFkDq+hEi+Hw4GJEydi6tSpuOuuuwAAnTp1wsmTJwEAJ0+eRGxsLAAgPj7e qzentLQU8fHx+Oc//4lhw4YhMjISkZGRGDt2rDaT8ZopELEDwJNPPom9e/di06ZNEEKgT58+GkfSNE2J 25+Gfh+hLBCxh6NAxV3feUJdoP/m7dq1w8iRI0N6SgEQmLi3b9+O9evXo3v37pg8eTI2b96MadOmBb3t zRWov7nymhYbG4sJEyZgx44dwWt0AAQi7q5du6Jr165qj+6kSZO8FpMFi2ESLyEEZs6ciYSEBDzyyCPq 18ePH49Vq1YBAFatWoU777xT/fr7778PIQS+/vprtG3bFp07d8bNN9+ML7/8Ek6nEw6HA19++WXIDzUG KnaXy4WKigoAwL59+7Bv3z6MGTNG+4Aaqalx+zNkyBD85z//wdGjR2G327F27VqMHz8+qG1vrkDFHm4C Fbe/84SyQMVeXl6Oc+fOAQCqq6uxadMm9OvXL2jtbq5AxZ2Xl4fS0lIcO3YMa9euxa233ooPP/wwqG1v rkDFfunSJVy4cEG9vXHjxpBexRyouOPi4nDTTTfh0KFDAICioiIkJiYGr+GKoE/fDxElJSUCgEhOThYD BgwQAwYMEBs2bBBnzpwRt956q+jVq5cYNWqUqKioEELUrux58MEHRY8ePURSUpL49ttvhRC1K9xycnJE v379REJCgli0aJGeYTVKoGKvrq4WCQkJIiEhQQwdOlTs2bNHx6iuralxnzx5UsTHx4uoqCjRtm1bER8f r67a3LBhg+jdu7fo0aOHeO655/QMq1ECGfvkyZNFXFycMJvNIj4+XvzlL3/RM7QGBSpuf+cJZYGK/bvv vhMDBw4UycnJon///uKZZ57RObKGBfJaV2zZsiUsVjUGKvbDhw+LlJQUkZKSIhITE0P+NS6Qf/M9e/aI 1NRUkZycLO68805RWVkZ9Pazcj0RERGRRgwz1EhERESkNyZeRERERBph4kVERESkESZeRERERBph4kVE RESkESZeRGRIubm5WLp0qd7NICKDYeJFREREpBEmXkRkGH/+85/Rp08fjBgxQq1W/frrryMxMREpKSmY PHmyzi0kopbOrHcDiIi0sGvXLqxduxZ79+6F0+nE4MGDkZqaihdeeAFHjx5FRESEulUOEVGwsMeLiAyh pKQEEyZMQOvWrREdHa3ut5mSkoKpU6fiww8/hNnMz6JEFFxMvIjI0DZs2IB58+Zh9+7dGDJkCJxOp95N IqIWjIkXERlCZmYm1q1bh+rqaly4cAGfffYZ3G43jh8/jpEjR+LFF1/E+fPncfHiRb2bSkQtGPvVicgQ Bg8ejLvvvhsDBgxAbGwshgwZAkmSMG3aNJw/fx5CCCxYsADt2rXTu6lE1IJJQgihdyOIiIiIjIBDjURE REQaYeJFREREpBEmXkREREQaYeJFREREpBEmXkREREQaYeJFREREpBEmXkREREQaYeJFREREpJH/A+cQ r0Fh/fnIAAAAAElFTkSuQmCC\n",
"text/plain": [ "text/plain": [
"<Figure size 720x432 with 1 Axes>" "<Figure size 720x432 with 1 Axes>"
] ]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
} }
], ],
"source": [ "source": [
"fig = plt.figure(facecolor='w', figsize=(10, 6))\n", "fig = plt.figure(facecolor='w', figsize=(10, 6))\n",
skipping to change at line 152 skipping to change at line 171
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 4,
"metadata": { "metadata": {
"output_hidden": true "output_hidden": true
}, },
"outputs": [ "outputs": [
{ {
"name": "stderr", "name": "stderr",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"WARNING:rpy2.rinterface_lib.callbacks:R[write to console]: Making 11 fore casts with cutoffs between 2010-02-15 and 2015-01-20\n", "R[write to console]: Making 11 forecasts with cutoffs between 2010-02-15 and 2015-01-20\n",
"\n" "\n"
] ]
}, },
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
" y ds yhat yhat_lower yhat_upper cutoff\n", " y ds yhat yhat_lower yhat_upper cutoff\n",
"1 8.242493 2010-02-16 8.954437 8.451457 9.466432 2010-02-15\n", "1 8.242493 2010-02-16 8.956252 8.451796 9.483227 2010-02-15\n",
"2 8.008033 2010-02-17 8.720815 8.240268 9.199979 2010-02-15\n", "2 8.008033 2010-02-17 8.722669 8.206799 9.174078 2010-02-15\n",
"3 8.045268 2010-02-18 8.604422 8.098728 9.113440 2010-02-15\n", "3 8.045268 2010-02-18 8.606339 8.136408 9.059811 2010-02-15\n",
"4 7.928766 2010-02-19 8.526214 7.995282 8.998441 2010-02-15\n", "4 7.928766 2010-02-19 8.528198 8.044159 9.012228 2010-02-15\n",
"5 7.745003 2010-02-20 8.268029 7.765918 8.794452 2010-02-15\n", "5 7.745003 2010-02-20 8.270095 7.787403 8.780680 2010-02-15\n",
"6 7.866339 2010-02-21 8.599200 8.057087 9.092473 2010-02-15\n" "6 7.866339 2010-02-21 8.601325 8.051539 9.112439 2010-02-15\n"
] ]
} }
], ],
"source": [ "source": [
"%%R\n", "%%R\n",
"df.cv <- cross_validation(m, initial = 730, period = 180, horizon = 365, un its = 'days')\n", "df.cv <- cross_validation(m, initial = 730, period = 180, horizon = 365, un its = 'days')\n",
"head(df.cv)" "head(df.cv)"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 4,
"metadata": { "metadata": {
"output_hidden": true "output_hidden": true
}, },
"outputs": [ "outputs": [
{ {
"data": { "data": {
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "d198a659eea54089876a9d87e61a09ff", "model_id": "f4355ae2480f4f7cb37c613c84427237",
"version_major": 2, "version_major": 2,
"version_minor": 0 "version_minor": 0
}, },
"text/plain": [ "text/plain": [
"HBox(children=(FloatProgress(value=0.0, max=11.0), HTML(value='')))" "HBox(children=(FloatProgress(value=0.0, max=11.0), HTML(value='')))"
] ]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
}, },
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"\n" "\n"
] ]
} }
], ],
"source": [ "source": [
"from fbprophet.diagnostics import cross_validation\n", "from prophet.diagnostics import cross_validation\n",
"df_cv = cross_validation(m, initial='730 days', period='180 days', horizon = '365 days')" "df_cv = cross_validation(m, initial='730 days', period='180 days', horizon = '365 days')"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 5,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/html": [ "text/html": [
"<div>\n", "<div>\n",
"<style scoped>\n", "<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n", " .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n", " vertical-align: middle;\n",
" }\n", " }\n",
skipping to change at line 248 skipping to change at line 267
" <th>yhat_lower</th>\n", " <th>yhat_lower</th>\n",
" <th>yhat_upper</th>\n", " <th>yhat_upper</th>\n",
" <th>y</th>\n", " <th>y</th>\n",
" <th>cutoff</th>\n", " <th>cutoff</th>\n",
" </tr>\n", " </tr>\n",
" </thead>\n", " </thead>\n",
" <tbody>\n", " <tbody>\n",
" <tr>\n", " <tr>\n",
" <th>0</th>\n", " <th>0</th>\n",
" <td>2010-02-16</td>\n", " <td>2010-02-16</td>\n",
" <td>8.956828</td>\n", " <td>8.959678</td>\n",
" <td>8.460272</td>\n", " <td>8.470035</td>\n",
" <td>9.476844</td>\n", " <td>9.451618</td>\n",
" <td>8.242493</td>\n", " <td>8.242493</td>\n",
" <td>2010-02-15</td>\n", " <td>2010-02-15</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>1</th>\n", " <th>1</th>\n",
" <td>2010-02-17</td>\n", " <td>2010-02-17</td>\n",
" <td>8.723230</td>\n", " <td>8.726195</td>\n",
" <td>8.208639</td>\n", " <td>8.236734</td>\n",
" <td>9.222179</td>\n", " <td>9.219616</td>\n",
" <td>8.008033</td>\n", " <td>8.008033</td>\n",
" <td>2010-02-15</td>\n", " <td>2010-02-15</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>2</th>\n", " <th>2</th>\n",
" <td>2010-02-18</td>\n", " <td>2010-02-18</td>\n",
" <td>8.607021</td>\n", " <td>8.610011</td>\n",
" <td>8.106506</td>\n", " <td>8.104834</td>\n",
" <td>9.104792</td>\n", " <td>9.125484</td>\n",
" <td>8.045268</td>\n", " <td>8.045268</td>\n",
" <td>2010-02-15</td>\n", " <td>2010-02-15</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>3</th>\n", " <th>3</th>\n",
" <td>2010-02-19</td>\n", " <td>2010-02-19</td>\n",
" <td>8.528870</td>\n", " <td>8.532004</td>\n",
" <td>8.061701</td>\n", " <td>7.985031</td>\n",
" <td>9.024450</td>\n", " <td>9.041575</td>\n",
" <td>7.928766</td>\n", " <td>7.928766</td>\n",
" <td>2010-02-15</td>\n", " <td>2010-02-15</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>4</th>\n", " <th>4</th>\n",
" <td>2010-02-20</td>\n", " <td>2010-02-20</td>\n",
" <td>8.270872</td>\n", " <td>8.274090</td>\n",
" <td>7.773299</td>\n", " <td>7.779034</td>\n",
" <td>8.745526</td>\n", " <td>8.745627</td>\n",
" <td>7.745003</td>\n", " <td>7.745003</td>\n",
" <td>2010-02-15</td>\n", " <td>2010-02-15</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
"</div>" "</div>"
], ],
"text/plain": [ "text/plain": [
" ds yhat yhat_lower yhat_upper y cutoff\n", " ds yhat yhat_lower yhat_upper y cutoff\n",
"0 2010-02-16 8.956828 8.460272 9.476844 8.242493 2010-02-15\n", "0 2010-02-16 8.959678 8.470035 9.451618 8.242493 2010-02-15\n",
"1 2010-02-17 8.723230 8.208639 9.222179 8.008033 2010-02-15\n", "1 2010-02-17 8.726195 8.236734 9.219616 8.008033 2010-02-15\n",
"2 2010-02-18 8.607021 8.106506 9.104792 8.045268 2010-02-15\n", "2 2010-02-18 8.610011 8.104834 9.125484 8.045268 2010-02-15\n",
"3 2010-02-19 8.528870 8.061701 9.024450 7.928766 2010-02-15\n", "3 2010-02-19 8.532004 7.985031 9.041575 7.928766 2010-02-15\n",
"4 2010-02-20 8.270872 7.773299 8.745526 7.745003 2010-02-15" "4 2010-02-20 8.274090 7.779034 8.745627 7.745003 2010-02-15"
] ]
}, },
"execution_count": 4, "execution_count": 5,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"df_cv.head()" "df_cv.head()"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"In R, the argument `units` must be a type accepted by `as.difftime`, which is weeks or shorter. In Python, the string for `initial`, `period`, and `horizon ` should be in the format used by Pandas Timedelta, which accepts units of days or shorter.\n", "In R, the argument `units` must be a type accepted by `as.difftime`, which is weeks or shorter. In Python, the string for `initial`, `period`, and `horizon ` should be in the format used by Pandas Timedelta, which accepts units of days or shorter.\n",
"\n", "\n",
"Custom cutoffs can also be supplied as a list of dates to to the `cutoffs` keyword in the `cross_validation` function in Python and R. For example, three c utoffs six months apart, would need to be passed to the `cutoffs` argument in a date format like:" "Custom cutoffs can also be supplied as a list of dates to the `cutoffs` key word in the `cross_validation` function in Python and R. For example, three cuto ffs six months apart, would need to be passed to the `cutoffs` argument in a dat e format like:"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": 5,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"%%R\n", "%%R\n",
"cutoffs <- as.Date(c('2013-02-15', '2013-08-15', '2014-02-15'))\n", "cutoffs <- as.Date(c('2013-02-15', '2013-08-15', '2014-02-15'))\n",
"df.cv2 <- cross_validation(m, cutoffs = cutoffs, horizon = 365, units = 'da ys')" "df.cv2 <- cross_validation(m, cutoffs = cutoffs, horizon = 365, units = 'da ys')"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": 6,
"metadata": { "metadata": {
"output_hidden": true "output_hidden": true
}, },
"outputs": [ "outputs": [
{ {
"data": { "data": {
"application/vnd.jupyter.widget-view+json": { "application/vnd.jupyter.widget-view+json": {
"model_id": "2262c0413dfc4f63ac84b6e7005f9c1c", "model_id": "bd72143956e3426abd28c01b3a0b75b0",
"version_major": 2, "version_major": 2,
"version_minor": 0 "version_minor": 0
}, },
"text/plain": [ "text/plain": [
"HBox(children=(FloatProgress(value=0.0, max=3.0), HTML(value='')))" "HBox(children=(FloatProgress(value=0.0, max=3.0), HTML(value='')))"
] ]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
}, },
skipping to change at line 375 skipping to change at line 394
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"The `performance_metrics` utility can be used to compute some useful statis tics of the prediction performance (`yhat`, `yhat_lower`, and `yhat_upper` compa red to `y`), as a function of the distance from the cutoff (how far into the fut ure the prediction was). The statistics computed are mean squared error (MSE), r oot mean squared error (RMSE), mean absolute error (MAE), mean absolute percent error (MAPE), median absolute percent error (MDAPE) and coverage of the `yhat_lo wer` and `yhat_upper` estimates. These are computed on a rolling window of the p redictions in `df_cv` after sorting by horizon (`ds` minus `cutoff`). By default 10% of the predictions will be included in each window, but this can be changed with the `rolling_window` argument." "The `performance_metrics` utility can be used to compute some useful statis tics of the prediction performance (`yhat`, `yhat_lower`, and `yhat_upper` compa red to `y`), as a function of the distance from the cutoff (how far into the fut ure the prediction was). The statistics computed are mean squared error (MSE), r oot mean squared error (RMSE), mean absolute error (MAE), mean absolute percent error (MAPE), median absolute percent error (MDAPE) and coverage of the `yhat_lo wer` and `yhat_upper` estimates. These are computed on a rolling window of the p redictions in `df_cv` after sorting by horizon (`ds` minus `cutoff`). By default 10% of the predictions will be included in each window, but this can be changed with the `rolling_window` argument."
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": 6,
"metadata": { "metadata": {
"output_hidden": true "output_hidden": true
}, },
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
" horizon mse rmse mae mape coverage\n", " horizon mse rmse mae mape mdape smape\
"1 37 days 0.4961337 0.7043676 0.5067661 0.05873288 0.6740521\n", n",
"2 38 days 0.5019566 0.7084890 0.5117524 0.05931071 0.6740521\n", "1 37 days 0.4945480 0.7032411 0.5055601 0.05858532 0.04934318 0.05887239\
"3 39 days 0.5241862 0.7240071 0.5178584 0.05991184 0.6726816\n", n",
"4 40 days 0.5314370 0.7289973 0.5207051 0.06021607 0.6763362\n", "2 38 days 0.5002964 0.7073163 0.5105297 0.05916131 0.04959087 0.05950813\
"5 41 days 0.5388498 0.7340639 0.5216663 0.06029145 0.6838739\n", n",
"6 42 days 0.5425501 0.7365800 0.5220003 0.06030530 0.6879854\n" "3 39 days 0.5225149 0.7228519 0.5166123 0.05975950 0.04934318 0.06023204\
n",
"4 40 days 0.5297905 0.7278671 0.5194979 0.06006795 0.04934318 0.06061026\
n",
"5 41 days 0.5372450 0.7329700 0.5204945 0.06014704 0.04923865 0.06075311\
n",
"6 42 days 0.5410136 0.7355363 0.5208659 0.06016509 0.04934318 0.06082444\
n",
" coverage\n",
"1 0.6815898\n",
"2 0.6804477\n",
"3 0.6777067\n",
"4 0.6838739\n",
"5 0.6914116\n",
"6 0.6930105\n"
] ]
} }
], ],
"source": [ "source": [
"%%R\n", "%%R\n",
"df.p <- performance_metrics(df.cv)\n", "df.p <- performance_metrics(df.cv)\n",
"head(df.p)" "head(df.p)"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": 7,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/html": [ "text/html": [
"<div>\n", "<div>\n",
"<style scoped>\n", "<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n", " .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n", " vertical-align: middle;\n",
" }\n", " }\n",
skipping to change at line 432 skipping to change at line 458
"<table border=\"1\" class=\"dataframe\">\n", "<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n", " <thead>\n",
" <tr style=\"text-align: right;\">\n", " <tr style=\"text-align: right;\">\n",
" <th></th>\n", " <th></th>\n",
" <th>horizon</th>\n", " <th>horizon</th>\n",
" <th>mse</th>\n", " <th>mse</th>\n",
" <th>rmse</th>\n", " <th>rmse</th>\n",
" <th>mae</th>\n", " <th>mae</th>\n",
" <th>mape</th>\n", " <th>mape</th>\n",
" <th>mdape</th>\n", " <th>mdape</th>\n",
" <th>smape</th>\n",
" <th>coverage</th>\n", " <th>coverage</th>\n",
" </tr>\n", " </tr>\n",
" </thead>\n", " </thead>\n",
" <tbody>\n", " <tbody>\n",
" <tr>\n", " <tr>\n",
" <th>0</th>\n", " <th>0</th>\n",
" <td>37 days</td>\n", " <td>37 days</td>\n",
" <td>0.494800</td>\n", " <td>0.493764</td>\n",
" <td>0.703420</td>\n", " <td>0.702683</td>\n",
" <td>0.505277</td>\n", " <td>0.504754</td>\n",
" <td>0.058540</td>\n", " <td>0.058485</td>\n",
" <td>0.050149</td>\n", " <td>0.049922</td>\n",
" <td>0.676565</td>\n", " <td>0.058774</td>\n",
" <td>0.674052</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>1</th>\n", " <th>1</th>\n",
" <td>38 days</td>\n", " <td>38 days</td>\n",
" <td>0.500706</td>\n", " <td>0.499522</td>\n",
" <td>0.707606</td>\n", " <td>0.706769</td>\n",
" <td>0.510301</td>\n", " <td>0.509723</td>\n",
" <td>0.059120</td>\n", " <td>0.059060</td>\n",
" <td>0.049955</td>\n", " <td>0.049389</td>\n",
" <td>0.675423</td>\n", " <td>0.059409</td>\n",
" <td>0.672910</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>2</th>\n", " <th>2</th>\n",
" <td>39 days</td>\n", " <td>39 days</td>\n",
" <td>0.522967</td>\n", " <td>0.521614</td>\n",
" <td>0.723165</td>\n", " <td>0.722229</td>\n",
" <td>0.516433</td>\n", " <td>0.515793</td>\n",
" <td>0.059724</td>\n", " <td>0.059657</td>\n",
" <td>0.050078</td>\n", " <td>0.049540</td>\n",
" <td>0.672682</td>\n", " <td>0.060131</td>\n",
" <td>0.670169</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>3</th>\n", " <th>3</th>\n",
" <td>40 days</td>\n", " <td>40 days</td>\n",
" <td>0.530259</td>\n", " <td>0.528760</td>\n",
" <td>0.728189</td>\n", " <td>0.727159</td>\n",
" <td>0.519331</td>\n", " <td>0.518634</td>\n",
" <td>0.060033</td>\n", " <td>0.059961</td>\n",
" <td>0.049706</td>\n", " <td>0.049232</td>\n",
" <td>0.678849</td>\n", " <td>0.060504</td>\n",
" <td>0.671311</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>4</th>\n", " <th>4</th>\n",
" <td>41 days</td>\n", " <td>41 days</td>\n",
" <td>0.537736</td>\n", " <td>0.536078</td>\n",
" <td>0.733305</td>\n", " <td>0.732174</td>\n",
" <td>0.520341</td>\n", " <td>0.519585</td>\n",
" <td>0.060114</td>\n", " <td>0.060036</td>\n",
" <td>0.049955</td>\n", " <td>0.049389</td>\n",
" <td>0.685244</td>\n", " <td>0.060641</td>\n",
" <td>0.678849</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
"</div>" "</div>"
], ],
"text/plain": [ "text/plain": [
" horizon mse rmse mae mape mdape coverage\n" " horizon mse rmse mae mape mdape smape \
, \\n",
"0 37 days 0.494800 0.703420 0.505277 0.058540 0.050149 0.676565\n" "0 37 days 0.493764 0.702683 0.504754 0.058485 0.049922 0.058774
, \n",
"1 38 days 0.500706 0.707606 0.510301 0.059120 0.049955 0.675423\n" "1 38 days 0.499522 0.706769 0.509723 0.059060 0.049389 0.059409
, \n",
"2 39 days 0.522967 0.723165 0.516433 0.059724 0.050078 0.672682\n" "2 39 days 0.521614 0.722229 0.515793 0.059657 0.049540 0.060131
, \n",
"3 40 days 0.530259 0.728189 0.519331 0.060033 0.049706 0.678849\n" "3 40 days 0.528760 0.727159 0.518634 0.059961 0.049232 0.060504
, \n",
"4 41 days 0.537736 0.733305 0.520341 0.060114 0.049955 0.685244" "4 41 days 0.536078 0.732174 0.519585 0.060036 0.049389 0.060641
\n",
"\n",
" coverage \n",
"0 0.674052 \n",
"1 0.672910 \n",
"2 0.670169 \n",
"3 0.671311 \n",
"4 0.678849 "
] ]
}, },
"execution_count": 9, "execution_count": 7,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"from fbprophet.diagnostics import performance_metrics\n", "from prophet.diagnostics import performance_metrics\n",
"df_p = performance_metrics(df_cv)\n", "df_p = performance_metrics(df_cv)\n",
"df_p.head()" "df_p.head()"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Cross validation performance metrics can be visualized with `plot_cross_val idation_metric`, here shown for MAPE. Dots show the absolute percent error for e ach prediction in `df_cv`. The blue line shows the MAPE, where the mean is taken over a rolling window of the dots. We see for this forecast that errors around 5% are typical for predictions one month into the future, and that errors increa se up to around 11% for predictions that are a year out." "Cross validation performance metrics can be visualized with `plot_cross_val idation_metric`, here shown for MAPE. Dots show the absolute percent error for e ach prediction in `df_cv`. The blue line shows the MAPE, where the mean is taken over a rolling window of the dots. We see for this forecast that errors around 5% are typical for predictions one month into the future, and that errors increa se up to around 11% for predictions that are a year out."
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": 7,
"metadata": { "metadata": {
"output_hidden": true "output_hidden": true
}, },
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAtAAAAGwCAIAAAAPKcUMAAAACXBIWXMAAAsS AAALEgHS3X78AAAgAElEQVR4nOydSYwk2V3/X0Tkvu9ZS9bS3a7qZWawBhsxsi0jWcKWb3D0AaQ5cECM hREXbDCDZG5zGGEjbGEhIWT5YBkhIRDGPsDAwf5LLIJhPO6enql9yX2J3GP7H3724xG5VFZWRmZW5fdz aGVlZ0W9jOW97/utkmVZDAAAAADASeRFDwAAAAAAdx8IDgAAAAA4DgQHAAAAABwHggMAAAAAjuNa9ADs tFqt2R7Q7Xbrur5qsbGKohiGsehRzBVJktxud7/fX/RA5s0KXmtZlmVZ1nV90QOZK5IkSZJkmuaiBzJX XC6XZVmrdoffioc6GAxe91eWTnB0Op3ZHtDn83U6HU3TZnvYJScYDM78TC45siz7/f56vb7ogcybFbzW Xq/X6/Wu2rd2uVyyLK+apA6FQoZhrNq1DgQC3W53yffJUwgOuFQAAAAA4DgQHAAAAABwHAgOAAAAADgO BAcAAAAAHAeCAwAAAACOA8EBAAAAAMeB4AAAAACA40BwAAAAAMBxIDgAAAAA4DgQHAAAAABwHAgOAAAA ADgOBAcAAAAAHAeCAwAAAACOA8EBAAAAAMdZuvb0ACwbhmGcn5/XarVIJLKxseF2uxc9IgAAuH3AwgHA FeTz+VqtxhhrNBr5fH7RwwEAgFsJBAcAV6BpGn+t6/oCRwIAALcXCA4AriAUCvHXfr9/gSMBAIDbC2I4 ALiCRCIhy3Kr1fL7/YlEYtHDAQCAWwkEBwBXIElSPB6Px+OLHggAANxi4FIBAAAAgONAcAAAAADAcSA4 AAAAAOA4EBwAAAAAcBwIDgAAAAA4DgQHAAAAABwHggMAAAAAjgPBAQAAAADHgeAAAAAAgONAcAAAAADA cSA4AAAAAOA4EBwAAAAAcBwIDgAAAAA4DgQHAAAAABwHggMAAAAAjgPBAQAAAADHgeAAAAAAgONAcAAA AADAcSA4AAAAAOA4EBwAAAAAcBwIDgAAAAA4DgQHAAAAABwHggMAAAAAjgPBAQAAAADHcTl6dMMw3nzz zVartb29/eqrr9KblmX9xV/8RaFQCIfDr732miRJjo4BAAAAAAvHWQvHj370o1wu9/rrr19eXp6envI3 /X7/l770pZ//+Z/P5/OODgAAAAAAy4CzFo7nz58/fvyYMXb//v3nz5/ncjnG2E9+8hNZlr/61a8+efJk bW2NMVYqlf7+7/+eMfbSSy89fPhwtmOQJMnj8bhczn7TZcPlcvn9/kWPYq5IkiRJ0qp9a7aS19rlcimK smrfWpZlWZYVRVn0QOaKy+WS5ZVz/bvdbsaYZVmLHsiMcXYZbjabqVSKMZZMJpvNJr3ZarVardarr776 jW98I51Of/jDH+73+2dnZ4yx7e3tmT9OkiQpirJqjhv61osexVyhS7xq35qt5LWWZXk1vzVbvTtckqQV lFn0rRc9itnjrOAIBoPlcvn+/fvlcjmTydCbgUDgYx/7WCaT+eQnP/nee+99+MMf3tjY+NKXvkT/WyqV ZjsGt9vd6XQ0TZvtYZecYDDYarUWPYq5Isuyx+PhunZ1WMFr7fV6vV7vql1r2uv3+/1FD2SuhEIhwzA6 nc6iBzJXAoFAp9NZcguHz+e77q84q6H29vYODg4YY0dHR3t7e/zN9957jzH2wQcfZLNZRwcAAAAAgGXA WcHxyiuvnJ+fv/HGG2tra7lc7tmzZ3/6p3/6yiuvHBwcfOlLX6pUKh/72MccHQAAAAAAlgFp2Yw2M3ep xOPxZrMJl8qdR5bleDxeLpcXPZB5s4LXmlwqjUZj0QOZK3CprA63wqVCAZrXYrVyNwC4LoVCgZK3t7e3 o9HooocDAAC3lTsYBwvArGi327xUzPHxsWEYix0PAADcXiA4ABiJzXyt6/qiRgIAALcdCA4ARhIMBvnr UCjk8XgWOBgAALjVIIYDgJG43e79/f1yuSzLciqVWrXycQAAMEMgOAAYh9fr3djYWPQoAADg1gOXCgAA AAAcB4IDAAAAAI4DwQEAAAAAx4HgAAAAAIDjQHAAAAAAwHEgOAAAAADgOBAcAAAAAHAcCA4AAAAAOA4E BwAAAAAcB4IDAAAAAI4DwQEAAAAAx4HgAAAAAIDjQHAAAAAAwHEgOAAAAADgOBAcAAAAAHAcCA4AAAAA OA4EBwAAAAAcB4IDAAAAAI4DwQEAAAAAx4HgAAAAAIDjQHAAAAAAwHEgOAAAAADgOBAcAAAAAHAcCA4A AAAAOA4EBwAAAAAcB4IDAAAAAI4DwQEAAAAAx4HgAAAAAIDjQHAAAAAAwHEgOAAAAADgOBAcAAAAAHAc CA4AAAAAOA4EBwAAAAAcB4IDAAAAAI4DwQEAAAAAx4HgAAAAAIDjQHAAAAAAwHEgOAAAAADgOBAcAAAA AHAcCA4AAAAAOA4EBwAAAAAcB4IDAAAAAI4DwQEAAAAAx5Esy1r0GP4PnU5ntgf0+Xz9ft80zdkedslx u92api16FHNFkiSfzzfz+2f5WcFrrSiKoij9fn/RA5krsixLkmQYxqIHMlc8Ho9pmrquL3ogc8Xlci3/ V/b7/df9FZcT47gJrVZrtgf0eDzdbnfVZuRgMDjzM7nkyLLs9XpX7VuzlbzWXq93Ba+1y+WSZXnVZBZp rFXbSAQCgU6ns2zmABtTCA64VAAAAADgOBAcAAAAAHAcCA4AAAAAOA4EBwAAAAAcB4IDAAAAAI4DwQEA AAAAx4HgAGAkvV6v2WyuWhEXAABwgqWrwwHAklAsFi8vL+n1o0eP3G73YscDAAC3Glg4ABgOVxuMsVqt tsCRAADAHQCCA4CrWfKSfwAAsPxAcAAwnPX1df46kUgscCQAAHAHQAwHAMNJpVKRSETTtEAgIEnSoocD AAC3GwgOAEbi8Xg8Hs+iRwEAAHcBuFQAAAAA4DgQHAAAAABwHAgOAAAAADgOBAcAAAAAHAeCAwAAAACO A8EBAAAAAMeB4AAAAACA40BwAAAAAMBxIDgAAAAA4DgQHAAAAABwHAgOAAAAADgOBAcAAAAAHAeCAwAA AACOA8EBAAAAAMeB4AAAAACA40BwAAAAAMBxIDgAAAAA4DgQHAAAAABwHAgOAAAAADgOBAcAAAAAHAeC AwAAAACOA8EBAAAAAMeB4AAAAACA40BwAAAAAMBxIDgAAAAA4DgQHAAAAABwHAgOAAAAADgOBAcAAAAA HAeCAwAAAACOA8EBAAAAAMeB4AAAAACA40BwAAAAAMBxIDgAAAAA4DgQHAAAAABwHAgOAAAAADgOBAcA AAAAHAeCAwAAAACO43L06IZhvPnmm61Wa3t7+9VXX7X9r6qq4XDY0QEAAAAAYBlw1sLxox/9KJfLvf76 65eXl6enp+J//dM//dM3v/lNR/86AAAAAJYEZy0cz58/f/z4MWPs/v37z58/z+Vy9H4+n3/rrbcikQj/ 8Tvf+Q5j7CMf+cjLL7882zHIsuzz+Twez2wPu+S43e5gMLjoUcwVSZIkSVq1b81W8loriqIoyqp9a1mW GWNut3vRA5krbrdbURT67quDy+WSJGnRo5g9zl7FZrOZSqUYY8lkstls0pumaf7lX/7lr/3arzn6pwEA AACwPDhr4QgGg+Vy+f79++VyOZPJ0Jvf/e53P/3pT4vRG9ls9vOf/zy9LpVKsx2Dx+Ppdruaps32sEtO MBhstVqLHsVckWXZ6/Wu2rdmK3mtvV7vCl5rl8sly3K/31/0QOaKJEmGYXQ6nUUPZK4EAoFOp2NZ1qIH Mg6/33/dX3HWwrG3t3dwcMAYOzo62tvbozfb7fbf/d3fffWrX3377bf/4R/+wdEBAAAAAGAZcNbC8cor r3zta19744031tbWcrncs2fPvv/977/22muMsUKh8K1vfeuzn/2sowMAAAAAwDIgLZvRZuYulXg83mw2 4VK588iyHI/Hy+Xyogcyb1bwWpNLpdFoLHogc2U1XSqhUAguleWEAjSvhbMWDgAAY+z8/JyU0M7ODk/O AgCAlWK1co0AmD+NRoPbXY6OjpZ81wIAAA4BwQGAs9hs4IZhLGokAACwQCA4AHAW0YcSiURcLvgxAQCr COY+AJzF4/Hs7+9Xq1WXyxWPxxc9HAAAWAwQHAA4jtfrXVtbW/QoAABgkcClAgAAAADHgeAAAAAAgONA cAAAAADAcSA4AAAAAOA4EBwAAAAAcBwIDgAAAAA4DgQHAAAAABwHggMAAAAAjgPBAQAAAADHgeAAAAAA gONAcAAAAFgJer1ep9OxLGvRA1lR0EsFAADA3efi4qJUKjHGwuHwzs6OJEmLHtHKAQsHAACAO46u66Q2 GGOqqqqqutjxrCYQHAAAAO44cKMsAxAcAAAA7jhutzsej9PrcDgcCoUWO57V5EaC41vf+tYXvvCFVqv1 t3/7t7MaEAAAADBzcrncgwcPdnd3t7e3ZRmb7QUw/Un/wz/8w29961vf+973JEl64403vvjFL85wWAAs G/1+/+Tk5Pj4uNFoLHosAIBpCAQC4XAYamNRTH/ev/Od73z3u9/d2toKBAI/+MEPvv3tb89wWAAsG2dn Z7VarV6vHx0ddTqdRQ8HAABuGdMLjl6vp2kaf+31emc0JACWDsMwms0m/7Hdbi9wMAAAcBuZXnC89tpr n/nMZw4ODl5//fWPfexjn//852c4LACWCkVRxB99Pt+iRgIAALeU6Qt//e7v/u7LL7/8z//8z36//6/+ 6q8+8pGPzHBYACwbe3t7hULBMIxIJBIMBm9+wEaj0e12Q6FQIBC4+dEAAHebfr9frVYlSUokEi7XrSza Of2gNU17+vTpu+++q+t6IBB46aWXPB7PDEcGwFLh8/m2t7dndbTLy8tiscgYy+fzu7u74XB4VkcGANw9 DMN4+vQpvW61Wru7u7exUur0guO11147Ozv7zd/8TVmWv/GNb7z99tvf/OY3ZzgyAO4wpDaIer0OwQEA GIMYqN5sNjudzm20jE4vOL73ve89f/7c7XYzxn75l395f39/dqMC4I4TDod5cWV6iAAAYBQ2H8otnTSm Dxp1uVyVSoVeVyqVbDY7oyEBcPfJZDL0IhwOJ5PJxQ4GALDk+Hy+9fV1er25uXlLBcf0Fo6PfvSjT548 +fSnPy1J0ve///1PfOITX/7ylxljv/3bv51KpWY3QgDuIBT2ZJomahABACYhlUrd9rV1esHxqU996lOf +hS9/qVf+qX/PeLtjJ4FYP5AbcyNXq9HSUbxeDwajS56OACsItOLg9/4jd947733ut0uY8wwjC9+8Yv/ +I//OLuBAQDAzDg/P6fSbaqqPnjw4DYG3AFw25lecPzO7/zO9773vbOzs1/8xV/8j//4j1//9V+f4bAA AGBWDBaKheAAYP5Mb9H9wQ9+8M477/zWb/3W17/+9bfffpsHkAIAwFJhKxQLtQHAQphecFA7iY9+9KP/ 8i//ksvl3nnnndmNCgAAZsne3l40Gg2Hw7lcDoIDTIFhGGdnZ4eHh/l83rKsRQ/nVjK9S+VXf/VXf+VX fuXrX//6Zz/72WfPnt3GqmcAgBVhtoViwarR6/VOTk6o+paqqoqi3PaEkYUwveB48803Dw8Pt7a2/uzP /uytt97667/+6xkOCwAAAFgGut3ue++9J76zzP2im81msViUJCkajcbj8UUP5/8wveAol8v/7//9v7fe eosxtr29/dZbb+3u7s5sXAAAAMAS0Gg0bO/MpH2jExiGcXBwQK9VVQ0EAl6vd7FDEplecHzuc59TFOXF F1+c4WgAAMA5ms1mpVJxu92pVOqW1moE88dWXGptbS2RSCxqMOPRNE38sdPp3BHBcXh4+OzZsxkOBQCw arTbbcMwgsHgHGqgdTodvvnr9XqwyIIJicfjzWazXq8zxnZ2diKRyKJHNBKbvDg5OSHfyqLGY2N6wfGZ z3zmz//8zz/3uc/xrvRLpaSWGdM0C4VCt9sNBALpdBrxtmA1OT8/L5fL9PrJkye25NWZI/rdVVXVdR1l kcEkSJK0vb1tmqYkSfOZrg3DyOfznU4nFAolEonJ/6gkSfv7+zy+lTF2fHz80ksvOTbS6zH98+bz+V57 7bWvfOUr/J2Tk5NZDOnuk8/nS6USY0xVVUmS0un0okcEwLwxDIOrDcaYqqqxWMzRv2jbEUFtgGsxz0YE Jycn+XyeMdZoNCzLulZGjNfrDYfDYjv75WH6R+7b3/722dkZFsspILVBLHO0MwDOMX/DXigUWl9fp5Kj vFsvAEsIqQ2i0WhcNwU3FosVCgV6vVRr9PSCI5FIGIYxw6GsDolEghdm9fl8ix0MAAtBluVMJkPTYjgc no+b+Q702wSrgNvt5uGfU6yzXq/30aNHrVbL7XYvVULN9IIjlUo9evTok5/8JPe8/s3f/M2MRnXHWVtb kySp3+97vV7stMDKks1mE4mErus+nw+RTAAQpVJJrGQ6XWFct9vttI9yCqYXHH/8x388w3GsFIqibGxs LHoUACwet9uN9FQAOKqqXlxc8B9DodBd2pROLzg+/vGPz3AcAAAAwCqjaVqxWBTf2dnZmWewqtMsXZz2 zB1Osiz7fD6eu7siLJvrbg5QxtqqfWu2ktdaURRFUVbtW8uyLEnSqhmE3G63oih3adEdw7vvvttqtfiP sVgsHA4vcDwzZ+kEh3i6Z4LH4+l2u7b6a0uCYRiWZTmRnhcMBmd+JpccWZa9Xu+qfWu2ktfa6/Wu4LV2 uVyyLPf7/UUPZK5IkmQYxnImec4WTdOothgRDAbX1taW+Sb3+/3X/ZWlExyrQ7FYvLy8ZIzF4/FcLrfo 4QAAAFgYtsJ3a2trd8+atRJ2qiVE13VSG4yxarVKtQEAAACsJrIs37t3LxQKMca2t7fvpMcQFo7FYEut RkUTAABYcUKhEAmOQCBwJ71IsHAsBo/HI3YAopsMAAAAIAzDKJVKxWJR1/VFj2U2wMKxGCRJ2traUlXV NM1IJOJ02yoAAAC3CNM0j4+Pydt+eXk5h+6GcwCCY2HIsrw8XYMBAAAsD/1+X4zta7VaolF8EizLajQa /X4/FApNkVHiBBAcAABwNZqmdTodv99/93IHwBJis2dMcdddXl7yRqH3799fhihUCA4AALiCRqNxdHRE r3kqAQCzQtO0s7MzVVXD4fDm5iZjzO12b2xsnJ+fM8bS6fQUJgqxLXm9XofgAACAWwBv78wYK5fLEBxg tlxeXqqqyhhTVTWfz5O3PZlMJhIJxth0rQ1DoRB3yjhRXnIKkKUCAABXIM74aGx7uzBNU1XVdru96IGM Q6yMIOakUMeG6Y6ZzWbpRSQSSSaTNxnerFgK1QMAAMtMKpVqNBr0Op1OL3YwYHIMw/jxj39Mr5PJ5NK2 6Q6Hw2ThoNczOWYgEHjppZdM01yeTjQQHEtHu91+//33GWPxeHxzcxPbKQAWTjAYfPz4cb/f93q9dyA7 cXXgMpExVi6Xs9nscl6+ZDLpdrtbrVYwGLxuNsp4lkdtMAiOJYTUBmOsWq0GAgHy4QEAFovL5VIUpdFo oHbO7WWZ92+RSGS2UmMJgeBYLizLEn9czia3AKwmx8fHfMd8Nwox3Xmi0WitVqPYyUwms1Tb/RUEgmO5 kCQpFovVajX6EcHwAMwWnn8YiUQ2Nzcnj97XNE20zzebTRTuW35kWd7d3e10Oi6Xy+PxLHo4qw4Ex9Kx ubkZCAT6/X40Gg0EAoseDlhGdF23LAsVqKbg4uKCovMajQaVOpjwF22bY5g3bguSJN3hidQ0zX6/7/F4 ZFm2LKtcLne73WAwGI/HFz20IUBwLB2yLC9JChNYTi4uLqikzzJH3Y/HMIyLi4tqtRqPx9fW1uZZJMA0 Tf76Wi5LRVGy2Ww+n2eMxePxZSijBO4GxWLx8vIyHA4nk8lrpah0Op3nz5/T6wcPHjQajWKxyBirVqum aS7hOgLBAcBtotfr8QKC5XL5lq58+Xy+Wq0yxqrVqiRJVFpxPgSDQZ5/KEkS7Q4n/N1MJpNMJi3LWpIy SuAO0Gq1Li8vGWOqqqqq+uKLLw6NbDVNU9d1t9st/i/JC6JUKtXrdfGwEBxgNliWpWmaoiiw694Z+v2+ pmmBQGB8IL1YIGjwx9tCv9/nr+ccGZ1KpVwuV6FQ6Pf79Xq9Xq8/fvx4cgGBJw7MFvFZYIyRqrB9RlXV w8NDxlg4HN7a2uI3oZhk0Ov13G43f5q8Xq9zY54aCI7bh2EYvG3x1tZWLBZb9IjATSmXy9Q0gTH26NGj UcEZlmU1m00+rYTD4eU0b7Tbbdp7JRKJoSZi0cww5z6W5NEXZ/lWqzU+/DOfzxcKhXA4nEqlEMd9S9F1 vdfreb3eZbNOifEloVBo6LNPaoMxpqpqqVTiJUQTiQQPZO52u/zz8Xh8OcvTLdepB5NQrVZ5hfyTkxMI jjsAVxuMsWq1mslkhn7s4uKiXC7T60QisbGxscC6Av1+X9d1n89ni6Y0TZPXkmk0Gg8fPhz0WaRSKUmS 2u223++fv+HXZqUYvwI1m81CocCusniDZabZbB4cHNDrBw8eLE8Maa1WOzk5YYx5PJ5IJJJKpa78FdGo GQ6HHz582G63u92u6F5ZX19fzgTgZRwTGI8Y9cYGSneA286YC8rVBmPMNM0FrnylUunp06fvv//+0dGR 2PqBMdbr9cQfO53O4K9LkpRKpba3t9Pp9PxnRpfLlcvl6HU6nR5vJRI3juzW+rBWHPHBEXuoLhxSG4wx KmI7yrQp7kBspSA9Hk8sFhPtiOFweGkdf7Bw/BTDMAqFQq/XCwQC6XR6mTcxsViMQuXZz3aKix0PuDnr 6+sXFxf0ekw+WyQS4RbUBfpoLcvio202m/V6XbRS2OwZc/aYTEg8HifT4JWPTzgc5l82FArdxCCv6/rF xYVhGD6fL5vN4sldCE7s0CzL0nXd5XJd65raRmIT7iLZbDYYDPb7/XA4PChKNE2j7vOWZXk8nrW1tWsN fp5AcPyUy8tL6kCtqqokScvpACM8Hs+jR4+azaZpmi6Xi270RQ9qVeApqbu7u7PqscQYS6VS4XC43+8H AoExuxPyodTr9aXy0drmTUVRHjx4QAbeeDy+tNWWJlwbvF7v/fv3a7Waoig3POcXFxdU009VVZfLNYn9 HMyEZDLpXO+9fr9/dnZGbu779+9PHlYlSVI8Hqd0LcbYKOd4uVxWVdXtdmez2aFT/enpKXeyb25uLnN5 HixUP4XUBjHUCOwQVL7Q4/Fca/Vyu92WZXHH/97ens/nc2aA4H9pNBrcHnt4eDhbd77X673SaOF2u7e3 t2f1F6dGkqRMJkORDWzYRBkIBHZ2duY+rlliWValUmm1Wn6/P5VKzSQ4l1cQZvOdZEAoFHr06FG32/X7 /TPfnpVKJb7el0qla90qm5ub4XBY07RoNDpUKNTrdT7PG4Yx+Phrmsb/OmOs1Wot81oAwfFTRKU5NyNw t9t977336PV1iziJKdeVSuWWFoC6XdgSOE3TXFpfqaPouh4IBHZ3dxljwWBwOcPTbki5XCZPSr1e13V9 fX395scUJ5nliVtcEdxut0NbfzGs57r+GkmSxmdItVot/lqc8zk2/bTMaoNBcHDW1tYkSdI0zefzzS1s XryByuXy+vo63LrLjJgSubL9QkWVvL29PVu1YRiGaZrLYBMWJ3pbGOzUrK+vK4rS6/WCwSC6QN9SDMOo 1WqWZcXjcZoBHO1+Je5+h/aSlSTp/v37xWJRVdX19fXlzJPnQHD8FJfLNc9yh4RtxbKpDcuyarUaGXUT iYTtfxOJBLekwRk8H7xe74MHD2q1mtvtXtkFQwzyr1arM2xgRuUuGGPxeJxnkSwKn8/Hvf6zUpaKoszE UgIWhWVZvAbSxcXFCy+8IMtyOBze29trNpuBQGByw5VhGGdnZ/V6PRwOr6+vj3KnxuNxXddbrZbL5eLl N2wEg8El1xkcCI5FQqKBKiANOucqlQp576rVqqZpttjjaDT65MmTXq/n9/thF5kb15pTwORomsaDQqjH ymLn0HQ6ret6pVKhbi8LHAlYHjqdji1ggmLvfD7fdX0ZxWKRLNyqqsqyPCY2K51OL0+E+A2B4Fgk1Dq5 2+2Wy+Vqtdrv98U0V/HOthUDIBRFweIH5kw6neaBCDM089iqyyy83IUsy5ubm/O3eoJlxubsu4nvT6x1 OzQ4404CwbF4isUiT5ZTFIVP4mI+IRJfwZLg9XqfPHnS6XTG1CmaAqq0SF6MUCiECuJgCXG73Wtra9Rr LZPJTGjV6Ha7VOFJfF4ikQjXGdMZMGq1Wq1Wk2U5lUoFAoFqtVqv1xVFyWQyy9lIhUFwLANisly73eaC I5PJ6Lpeq9Wi0SiMumB5UBRl5oJAkqTt7W1VVU3TjEQidzLzBdwB0ul0MpmUJGlCR3a1Wj09PaXXYlX1 WCwmy3Kz2fT7/VO0p+h2u7xKab1e393d5X9F1/V79+5d94DzYVUEh2maSzuFRaNRLnXFmGRFUba2tra2 tsQPd7vdQqFgWdaotlhLiGVZhUKh0+nIsry2tjbnSlCWZfV6PZfLBSvRkiNJ0tA4fACWimstJbb6BSQ4 eLPG7e3t6cKubXVcxKSqZrNpGMZy5tDd/Sm4Xq//13/9F2MsEolsbW0toezY2NiQZVnXdcpGGfNJy7J4 RmKj0djf319a05lIrVbj8YCWZc2zJFS/33/69Cm9nm1t0KWF53qsyPddcTRNy+fzhmFEo9FV7uNIQT/X XWUNw7Asa25bETKK9Ho9Xsvr+Pj48ePHUwzAViwqFArx5m3opbJIjo+P6UWj0SiXy0sY7iu2khqPGGfE GCM/ujODmiWiGOephvPB1rTpzi/AqqpybXd4eEhpe4sd0iRQWc9OpxMMBse0kgGD8LLWjUbD7XYvPD1S VVUqnZxMJud2711eXtJym06nJ/c+899KpVLOpSunUinKQ2Q/i9WwTeP9fn9QcGiaNjR0Uz8AACAASURB VFhDjNtFcrlcPB7f3d2tVCqyLKfTaZ/Pt7W1RQX4KXtW07RWq7UMt4TI3RccPKKeDVSKvHXYnBFLXlSO EwwG+cI/w7INk7DwZIc5Y7vDDcO4FYIjn8/T1F+tVslduOgR3Q4sy7JlaS52dWk2m4eHh/S62+3a3MEO IXZmLxaL8Xh8km1Yr9fjv1UqlWKxmBMFpimNdm1tze/3kwIYTC20TeNU6oM2ZiQs+IC5XeT09DQUCoXD YXEHFYvFuIlLrM53LRHmNHdfcORyOR5Nc3tNjs1mk9QrqVqalG+L4IhGo5ubm6qqejyeOVuYkskkV5xz 1joLQYzlDIVCy1CycxLErG9VVSE4JkSSpFAoxDUHXzLr9XqtVnO5XJlMxu12F4vFZrNJ3b8cvSVE9VOr 1aYTHLSzn7y2kC2hWtd1LjiodiL5m2xf3LYVcWJn0u12nz9/Tq+pyyZjLBQK7ezs7O3tVSoVSZJSqZRt S1Cr1bgZ+PT0NBaL0amw7SX6/f6YSykGjhSLRQiO+XHv3j23291utyORyG1ZoW10u92DgwP+emkjkMeQ SCQWsor4/f5Hjx61222v13tLr/618Hg8e3t71WpVzK9efkSX82K9hKZpnp+f9/v9RCJxK/YnGxsbl5eX lmXRlpcx1mq1uB9Z07RYLEZpnIwx0zQdbf4nmmCny2MqFAr5fJ4xtra2NuHmxO/3h8NhcluEQiHRfnBy ckJL78XFxaNHj8QV2u/3c60WDoedsAxxTwoTWs83m812ux0KhUZ1v7I1qaccxmg0ajPAjLfHLK1d8+4L DmoBfKvT+p2LQNZ1XVGURRUq7fV61AbM0QG43e5VsG1wfD7fraufvba2ZllWvV6PxWKLjbJ69uwZbSVb rVa1Wt3c3JxzUtV18Xq9tijsdrvNX5NZkf/odIGpeDxOZQzD4fAUu+per0dqgzF2eXkZiUQmUZ+UUE1f LRqN8snENE3x+9brdbEFhCRJu7u79IFIJDLzKUhVVbHegcgYNWBZlji3u91uMs/XarWdnZ2HDx9SV/Mr 42Pi8Xir1SLFs1R9m+++4LgD2Ka8mahXXddPTk5I4N+7d2/+gqxYLNLGKxQKbW1tIWd12aD4j/mIUbfb 7ejOe3JEw3Wz2Tw5Obl3797S7heHIlryaMc/twgqSZI2Njam7lxt29yLzpHxyLI8GGtsu3UHZxhJkhwy YlmWxWNZCN7gLZlMjikPzU0yjLFsNsvlV7PZfP/997vdbjQazeVyV96QLpdrZ2dH0zRFUZYqYwWz/C2A tguXl5fhcDiTycxkDSiXy9zhWiwW5yw4LMviZl4KT0H/ueXBsiw+8e3s7My5Ngb5sN1udzqdXrgMbbfb /X5/Ds44qhbj8XhuLm6oGRh16Mhmsz6fT9f1ZrPpcrmWx5c/FNHNYXOOTIEkSVtbW1QdKxwOz7MLhE05 UeznxsbG+BRcXddFk4xNKFCcU71e93g8k1xHSZKW0DgHwXE7mHn/HjFISgz1Wk263a5pmmIbPNM0u92u x+NZ+Jo3f2q1Gp/4jo6OXnrppbn96Uajwesn9vv9eVqDLcs6OzsbfN8Wk+gEvV7v2bNn9Hom5sZUKiUq eNuPS4ssy5TbyRjjwZI3IRaLhcPh4+NjVVWfPn2azWYzmcwsRsoYY/1+nyqgBAIB22FdLpcYzEsBIlda Gmxa0+12ZzIZnuXOKRaLpmlObUZaLCs3mQIiHA5zQ+v8veaSJIkGw8WWXjg/P6dTEYlEtre3JUkSy4XN f4u/cGzx8JZlzS3KRwxXmnPJllKpJKbQc4aaN3q93sXFhaqqsVhsc3PzhmYJnp9Jw7iJ4DBNk+dleDwe XdfL5TIltc1nv2tZFhWWmM6S73K5ZquNGo0GX/jz+fxgVsjUXFxc0C2qqqrb7RYnMUmScrlcqVQyDGPy My/L8vr6+sXFBWMsmUxGIpFIJJJMJhljhUJBLClULpeTyeStKMJkA4JjFeEVb0ibL6QcViaTiUQimqYF g8EF+sg1TeNPcqPRaLVaoVCoVCrxD5TL5VUTHNFoVNSC49UGr9lFdXJvKE3E1X3Ot2Wv1xN/pL8+dH1q t9snJydUvqlWq3m93hvumwdLPE34W8Visd1u+3y+dDpNCzzt5hljl5eXDx8+PDs7o+W2WCxOV9HyWui6 fnp6SgOYumi3o0x3qociCuJOp2PbNbnd7ilit1OpVDweN00zGo12Oh3ugllfX5ckSZyX5mB4cwIIjpVD rHjTbrcX6DLw+XwLT1W1TUCD85GmaQcHB5QxP2brqes6JdbHYrHbUv1iFF6v9+HDh/V6fZIEn2KxSOqk Wq2apnlDa1ksFqP7MxKJzDngIBKJcAtHIpEY1Zi+3W6///774ju2wpHXhTeLJiZfpMvlMp15VVUNw9jc 3NQ0TUzFrFaroreUSgPcZKhXUqlU+ACOj4/n6YwbhfiVk8nkDCMoeXNjNjYHWNO0i4uLer2eTCZJNwx+ hvd9pQ60g4OUJGltba3b7dIFvb0lHiA4Vo45VLy5RXg8nng8TitNOBymiSORSHCzR6/Xo72vqqqjKoWb pvnuu+/S68vLy2AwuLa25kSQ2ty8G5OXaBOTMFut1g0FB02s849tLJVKZMr2+/3RaHSMVV9c0YmbWGK6 3S6PnmbXDOAQ3U+VSmVzc9O2UNlM7nNwqSzbttuyrFartb6+riiK1+ud7SO5ubnpdrs1TQuFQqKsMU2z XC53Op1AIJBMJi8vLykiqlwuUyk28SCmaRYKBb4DrNfr0Wh0aHwG5fE2Gg1JksLh8KJqGdwQCI6VwxYK vlSV9hdCLpdLJBKmaQaDQXqMfT7f48ePKUOB1iFC07ShftPBzo2FQmF3d3eGgzRN8+zsjLbCC0ljHoVo zrmutcyyrEajQf3oF5i8J17lTqdDcTyDn6EMQ9uyfUPHgc06cq0T6Pf7+Q6b7PmyLPPCyslkMhaLWZZF P66trc1hTxyPx/naeV3pSVVBe71eKBSa1e19enrKrUcPHz6cyTE5LpdrqDIoFosU6Vmv1ymkhv+XWFGX j9BWHKVer8uybFMwVFdUUZQl9FJdCwiOlYNXvLEsS6yTs8oMbn1cLlckErEJjlG+ksH3VVW1LOvi4oJm imw2O34tMQyjUCj0+/1IJDI0hJaMrvT64OBgGYzVxNrammEYtDMLBoOHh4eU/c8Yo6iOMaFtYtWBOUQY jGKwaLSoKsTeFuvr68lkst1uU/2lBw8e3HDTLP56KBS6lhEilUpRLpXL5eLhAvF4nGpLUOyzoijzPLFe r/fRo0fT9Qy7uLggs2KxWJxJo2PbYq+qKgVgjkLX9VqtRoUibxJVJm4/xKgLNuB5oWJ3Q0civuYFk7a2 tm5F9dsxQHCsIs5VvFkq2u12qVSSJIm6KU5xBI/Hc//+/XK5TO7VUdOQx+Ph4eVEOp3O5/PcL2NZ1viG wKenp7SkNRoNl8s1ONvaMvvnmTkyHkVRqGZXq9X64IMPxP9qtVqlUunJkydDrRe2qgOqqtqUVq/XK5fL kiQlk0lH3QG2KtGiCOj3+ycnJ9xtdHFxkUwmNzc3R0V4jKHZbFJ9kUQiwU+Iy+V69OgRRf9ct72qLMtD fU90Y9RqNZ5gfHNhNDlut3u6uUXMwqjX69cVHJZlFQqFTqejKMr6+rrL5bI9IOPPrWEY3CuqqurOzo5l WXS0604d4r0qOqw3NjZs3QZGPcKiVhMLJp2cnNC5JaWi63okEhn/aJimaRjG4NlYFBAcP8U0TUmSluSq cGq1WrvdlmWZ+gXcroqHi0XXdR7cV6vVnjx5Istyp9ORZflaM0gwGJxkr0alDtrttqqqXq83Go3yfhZs QC4MIka8N5vNwdk2EolMnjmyEMSQAtv7Q2MVbSrE9qNhGLw0RalUGhU9c0OKxWKr1ZJl+cGDBxSckUgk xD90dnYmBqkwxkzTnML70263eTukVqslutvIADbd+Mcgbu4rlco8y15NB++HwqYKN6lUKrxkhWVZ5Bfj hb+i0ajP56vVaoFAgB+cNiSWZaXTafEJVVW12+3m83kaz3W7rWazWZuYJob2Nrp37x7dGPF4PBAItNvt YDAoKjabF+bk5ESWZbIpMsYuLi729/dtRsRut1sqlUzTDAQCtAtanmrOzo7AMIw333yz1Wptb2+/+uqr 9Ga73f6TP/kTyo/4vd/7vYUnE5Obk57PpSq6UC6XeT9iYtRmEQxie1A7nU6pVKIZJJlMzrZsjmmauq67 3e5AIEAzO8/RJ66cQMXZdqge8vl8+/v7tVrN4/Espx931JI26rtTGWy6w6PRqE1j2Zb5Tqcz82Cjer3O AzZbrVY2m7UtCYZh2GrixePx6R5AMdRUVdXDw8Otra1Ve5ZbrVaxWFRVNRKJrK+v224MWtRVVR0TtKvr eqPRUBRlsPuJ6Mjgi30sFotGo4ZhtFot3riVQqDEDUmj0RjsR8MvWbFY5FnHk6AoSi6XswmOUe1aQqGQ 6B613YGqqtoehMH+LPV6XQxENU2TN6bnY2g2m6VSaRnqzDq7Y/7Rj36Uy+Vef/31y8tL3iP+Rz/60c/9 3M995Stf2d/f/9d//VdHBzAJonf86OhohonaN2SwAOiobkBgENt0JmYMlstlm9v+Jqiq+s477zx9+pTC F9jPXAn8A6lU6spHfWNjIxqNhkKhTCYzqgya1+vNZrP0v9VqldJQxQ/0er3j4+PDw0OKMJiabrfbarWu +yCEQqH19fVgMOh2u/kuYn19fYw9KZlMPnnyJJFI1Ov1//mf/xFv+DlkWIiSVNf1s7MzW+Ev2xqzvr4+ 3i82BtvXUVVVLPZ1c6jtWbFY5DZ8MV6Br9+WZamq2mw25zzLURzMBx98QM9go9Hg5jqOz+fb3d196aWX tre3h1qzNE179913z87Ojo+P+WrCEfUoWQj6/X61WqUqZOKVpafDVnZFlmV+ltbX1yc3pxUKhbfffvvt t98W/wRF79Jrr9ebTqc3Nzfb7Xa73Z78zOu6fnh4eKVx1Ga3GJWkvSQJRM5aOJ4/f/748WPG2P37958/ f07XIJfLUQBzKBSiaLt8Pv+d73yHMfaRj3zk5Zdfnu0YyIQ+ZsKySVG/378kOw+fz2crtuj3+yfc500R tHXbIY8Y/9bBYPDhw4e81bXteRMtqzeEu07ISb+9vW2byzY3N8f3kqbRTlhu1TTNZ8+ekfRUVfXhw4f8 Wh8fH9PNTJvI6QwhR0dHZIaNRqMPHz68liNjiluuUqlweXRwcPDKK68wxqgQNf/Mhz70IVtYACWM3PAO TyQStrrRvV7PdkxugwkEArlcbuqZIRAIaJomZsCy658uuhaDEcq9Xu/tt9+m151Oh6bcYDCYTCa73W4g EFAURdf1y8tLCkxmjCUSib29vbk55sRi+ZzJpzJFUWRZFjVKrVbb29sTL0cwGFQUpV6ve73era2tVqvF b6EHDx6IqzI9L16vVww5isfj2Wz2/v37NI0YhqGqKo15fX19lNm73W7zUZ2enmazWX51gsHg5uamZVl0 1Z4/f06bENo2ZLNZRVF6vV6z2QwEAoPzw4SlWqlgjPiQjtL3Gxsby7AiOCs4ms0mycZkMsm3L/v7+4yx f/u3f/vhD3/45S9/2dEBTEIikeBrRiqVWga1YVnWBx98YNsDxWKxoV7Au0Sz2SyXyx6PJ5PJ3PxCxONx vopT8T6aQbLZ7Ax3zOJMStsRcXoi5/Gs/hZjrN1uc0NXvV6nkBHGGHfrEs1mcwrBoes6D32t1+vVanVM YH+j0ej3+7FY7Ca+YZvnS9d1l8sl7l9zudz4WtfU0sI0zUwmc6WwE4nFYg8ePDg+PubmLptXyDRN7tNs t9vlcnnqiqKUGiZ+tfEZE9fC1oSdZ9m43W6+/h0dHYnzCRWHnW1gx5gLMbi9niIJxTYhDKql9fV1nq0j SslyuZzL5UQLRKvVarfbyWSy1+tRTzs6Y3zlVhTl4cOHVLOcxKJhGPxBNk3z8PCwUCjYsk4oJU0cIQ2S /Ln0JpkhO51OJpN555136M1cLre5udlqtZrNJs8KHjVvBAIBWZaTyeTQSZLykg4ODsQn6+WXX1546ALh rOAIBoPlcpni/MVn9bvf/e7p6ekf/MEf0H2ZzWY///nP03/Z8ohujsfj6Xa7403oDx8+rNVqFF89KvZt ntgsrnt7e4wxr9c7mMY9imAwuAxf5Fp0u13ufazVatftV25Zlq7rnU5n1L5ta2uLSg36fL4ZnhwxPyUc DtORHz16RCl2iUTC5oW9ITaTqaZpmqbRHxUDQdxu9xTf0VYFjnwrQz95cXHBH9VHjx5NXVxVnAcjkQiV WRNX0E6nQ2MwTbPRaLTbbarbQRM09QGnzczFxcV1U0ADgcCDBw+oEGQqleKXj/0sHVH88JizMQntdrvT 6cRiMY/HEw6Hp7hALpdLluVBm7ltOe/3+4PT3aAHhypnX2sAYyiXy4VCgQT34IVwu9289g+5GKLR6IRf n+wNnU7H5/PxPUM4HC4UCmNUi3hOKCHgyZMnh4eHFCgqrjI7OzujroXL5bIs6+DggMwYvNdSqVQiQSM6 AUOhkGmaQ48zOG8Xi0XRV3J6ekq1wujHra2tjY2NXq+3v79fLBYty6JErX6/32w2aTDNZrNSqQwt9uNy ue7du8eTaXO5nK7rV7pmpuBa+v6nY5v5IET29vYODg5+4Rd+4ejo6OMf/zi9+cMf/lBV1S984QuO/ulr QVvqRY/if7HNILIsj9mR0206xbVfNkT/EdXMmdye32w2eRbAYNg2ITpcZkgqlQoEAlSwyO12t9vtQqGg qmoikdjY2BhUP5ZlcUPrFNB8TetHKpUSr/vGxga1r6SSGFMcXFGUZDJJCYrhcHiUJdmyLHHKrtVqQ6s8 Uct1MomP+os+n29ra4uKMPJc01QqxY9PdhrDMH784x/z36pWq1RFhozS/P1Wq3Vdu47b7R4qbQuFgi2I 6iaxumJB9Gg0Otu0lHA4zG+JnZ2doYJbrMPNGIvH4zM0vHFfHsdWRl2W5d3dXVVVZVmm7TtFzimKkslk Jtx8S5K0vb2dz+fp+VJVdUxdinQ6zU0aZCEzDGOo9L+4uDg6OgqHw0Nro+m6zp0mjUaDnJWDmi8Wi42J /PD5fLycMTFYKtQW9EpR7V6vVwwbcrlcoggeLHorfnJnZ4fiV5YhOYXj7FBeeeWVr33ta2+88cba2lou l3v27Nn3v/99l8v19OnT3//932eMffazn/3EJz7h6BhuI6Kljro+Dv2YmF8TjUa3traWMFtycmxf81pL srj+FYvFqYP7JkHTtLOzMwqnp3rSPDmFMcbXlUqlQpWvxN+tVCrUAz2VSk3R24lYW1tLp9O8sRPH4/Fs bW1Nd0zOxsZGPB6nptsTXoKhd51hGMfHx7RmDy3HWa/XqUIUj2ygFYUxRoXhe71eOBwmRTUYQE3n32ZZ maGnTDQS+P3+e/fu3cTHJ47/umJ6Eq6sB0//22g0otFoOp2e7f5kcFs/aPGSJIlLkFarxRdOXdfv3bs3 +d+yLcyU+dloNGz63uv1vvjii71ez+Px0Kkete6SeqDFe9BgYDMC0VYwFAqJVUMYY4qijF/Xc7lcPB4v lUqNRoPEjSzLo4K7x0zj4k04/i9eN/9/PjgrOBRFES0Z+/v7FMCxmnAfJyVrjfmkoihPnjxpNBq2Grc2 ut2u6M6nrfaMBz0BFPqu6zoZiqc+TjQaJU85Y+xac9DgeGzvdDodyqqnhJEbyjLqS84Yq9fro8obE7ad kGEYpDYYY6VSiZwFsVgsl8tdd0iORhpduRpJkrS5uUnfJRQKDQ0tEgsWDfbx4r1LRPhKLEmS7QEZXJ7p TlMUZWdn5+joiDG2vr4+w3VUNAncvPK67bmYf0Edr9dry/x0jrW1tfEXQhQNzWaTAncmPLh46lwuF88/ r1QqbrdbNFRLkiSuuLIs81slmUz2+32Kf+Ih3txgYBhGsVjUNC0ej4dCoVgsxqdZcuJEIhFuTaT3xyzt Ysl22yV48cUXB3OjGGNjzO2bm5sHBwf0d0fZybrdLnfELEOgqMgSGVvuPLxVdKPR+NCHPjTqmdR1vVAo aJoWjUavZcWdlUeWu+cn7BMhPjM3cedTYYbpKmREo1E+XwyufzwFv1Qq+f3+G1ZZFR1eg85ycXqyiUVb hATtC2u1GrUXv8mQ5gzVo8tms1TocFRDuzFHsKVfcQaFF3XI9Hg84omNx+M7OzvkGo9EIk4Ueo/H4y6X q9VqUTu3Gx4tFot1Oh0S0w8ePJjFAOcH7SgkSQqFQkOV8draGg+GnaTRj62g+5VqwzTNTqfj8XgURaFS +hRc2el0RO1yZdte261iWVaz2Tw8PKQf+bxxcnJCk0mtVtva2vL7/YFAgOr/0q3e6XTECknUU37UH6V0 ZcZYsVjc2tpyu90ej4cmSUmSqJETdYCTZZm015jth9/vf/z4cavVooBxWZZts5mtDsfDhw/n0LRvciA4 5oSu67ZW0aMEx9nZGa9yrSjKmMAoMYoqEonMxLyhqip3TxwfH19Z4dGyLFGhj3LnO008Hg8Gg7Ism6Zp e8BsOsyWsyrCDSGRSGRra2vUFw8EAlzcDNqfNjc3fT4fVR22XRExdG7CIS0hYs3ser1Oq/6gN13s4yVu xSzLOjk5EY3wFA3HGBvsmiaG5mSz2UePHkmS5HK5vF4vBYPP/usJhMPh8ckUVNKRMZZMJsfv6YeK6eWp Tz8GMSyXR03aPhOPxyORSLfb9fv9kxhvvF7v+vp6s9mkGI7xH261Wv/93/9Nr9fW1trtttvt3t3dPT8/ tykM28WiKPIx6ze1Xd3Z2SFFS3lDpmmKsRH8Vherg9hsEtw32u/3dV33+XziSRDDdfnRyMNCr8VZYpLd GkWt8oomLpdLVHi2c9LtdiE4VhGbih81PVH/TP5jq9UaM+WRz5siofx+/0wmL9v9el1n8wIDlCgyy+Zb ZT9zHvOzOuZ88mLGjUajVCqNmgrT6bTb7abal4N7X1mWR0kuSZJ2dnYqlQq1f+TTFikYWkQn+KILRrw/ +ZJ/cnISiUTEW4X6eDWbTVtb8EajIQYYhsPhzc3NUauCWOkun88vNrLbtoAZhsG3ktVq9VpVgA3D4N1z ZtXopN/vHx0ddbtdn8+3s7Mzq3up3W5zidxoNEhVDH5s8rIo3JtGIVB0z1BlT5fLlUgkbHeCaEvg4T6D bohcLheNRi3LqlQqmqb5/f5KpUIjH2NOZoxFIhGfz3d5eUklMUbdY7VajT/s4oX2er1UBIXv/aiOuGma lFXE3xc5PT2dsO4OY8yyLE3T6GhsQBK1Wi1RcNgki6ZpxWIxHA4vSTwHBMf82NvbKxQKVBBi1BRDopvf T5P4pK87W9Ht63a7R0Wz8yfc7/efnp6qqkpRiqMGzDtiRyKROfeEI6OoYRjjG83kcrlSqaRpWiwWG3O6 bI/x0A1otVql/tGZTGbMM9xqtajlWzqdFoPwqaAhBd/EYjFyM/PADnHfs7SMyinQdd22yLndbtvXaTQa YosZxtjm5uaYXZ2oX2/ePpSj63qv1/N6vZPrY56zHQqFNjY2BnPU2+32hCPsdDonJyfcrJXP50dFLFmW dX5+TqGF9+7dG/9wkdqgoR4dHVEu/ZUYhnF+fk53I/U8s33A9ghMuKuh9GYqxmX7RmKhF5oxxBSeTqdj i/iexFPM77ShIRGFQmF8/Mr5+Tk9+yR6hn5GnF6SyWSn06Ff4ddRrCPO+8Dt7+9ns1nyAXFL3rUQg6+p 84Ysy2PWCEVR7t27Rz1iZFmmyfzy8nKeDfzGAMExP3w+3yS1JTY2Ni4vL03THLqBvqEZlrf0DIVCuVxu cK53u917e3u1Wk0s7Xd5eRkMBkfdr/F4nBoW3CRidDrE+eWFF14Y9TFFUSZJROQZoYyxZrN5dHRkSzJs tVrcV20Yxqh1QtM0XsSwWq2++OKL4kHEciPxeFz0p1xr37Mo0um0pmnValWc9cLh8CRbagrZ4wQCgfH3 TCwWq1arVEJgVoJDdNNMPgvzQlLNZrNQKGxtbdmE14S5nYZh8IgifsBRH67VamIZ1vFVmG09zScZDGMs n8+TGYmSVAcjqGwXaBKJJjaB2tvbE3W5LbKHfhSFfrVatQmObDY7aLYUocxq/uuDH7hSsogDGOXfFC0f Lpdrd3dX07RmszlYZF0kn89vb2/TRNHv98X6uRP20xGDr4+OjigGZX19XZIk0zRDodCgV5eXDuP1Zxlj 1Lhu/N+aAxAcSwQFFXo8nqG6pNfrUX4EWaGnW925Q5Ha+QzNzPT5fGtra5RTw9/s9/tj7ldZlm0GBl3X KenRubtc13Vxfmk0GjcMH1lfX1cUhS8tqqraqjFOGF1vS/fv9XrinCvaV23z43XXVDK0XutXrqTX6xWL RdM04/H40PFQnwhaFfr9Pi1Uk+ikwXmfqniNMU1xtcEYU1V1JtU5xQzqUqk0YX05caWksG4q4EFXMJFI TOjCGFzPxtRRtYUk/+d//if7WVL04Ic9Hg8/V5OXlRT33EP337YBU2mH8ccUnSClUkkUEHSr8NueFsvx B4xGox/+8Ier1arP56PuAdS8jfqzu1wuqlM+5giDtzFdQZrT0um06HKlo5HRMRKJ5HI5co4MbvNGGYlF xHve4/E8efKEl5NRVbVSqVw5ZQ0Nvh6ac0QH9Hg86XSaTqkYMbYk1TiWYhCACbkhVLxhsAU5jzBQVTWf z9v2Ab1e7/LystFoZDKZMa5uUcvbkiZs2CIcr5VepWnaT37yE3p9k4IT47EtVDdPNaRoD7Eosu2YovVy THT9+MZjY558splrmlYul0kajmqNbRgGj6W/bnnNMViWxZvC1+t12/Z0kMkr5pmmeXl56XK5bJvvQUeM iHiLjilzNAfENKhms0nPRSwWG1rqcQy2e8Pn85VKJUmSmSpcMwAAIABJREFUstns4OoViUQGm5xdXl4O dcnv7u4eHR2RR3/yKr3ivmXoXWSz2F83FMCmV7rdLjUTaTabrVbr3Xff3dnZoWq8ZGi5f//+4EG8Xi/Z er1eLxedHo+HHDGNRqPT6ZCR48GDB/RmPB5PJBKdTodyTGwHvLy8JNGjqqqiKJubm+TviEQipIHIZOvx eAzDMAxDUZSh2sJ2cra3t20eQ5v5wWbPmMQQFYvF+C5x8FmzLKtQKHQ6HbFBnaqqVH7C6/XyCfzK1KH5 oPzRH/3Rosfwf5htHWjGmN/v7/f7S9IrbxS9Xk+shKOqKsUliJ+hzof0mrIExf/ly0+r1fJ4PJFIZGg1 d1mW+S24sbExZq7nWXA+n29zc9M2UZqmaRjGqDWeh2sxxtrtdjqddiIaX5Ik/nWi0WgmkwkEAqIRYgrc bremaeQLTyaTto27x+Pxer2WZQUCATKHDD2Iy+XyeDyWZXm93sFT5/f7ycNt+63t7e1YLNZsNp8/f86f AspmGtzAFYtFPr/ouj6rhvWkdcShzqqyRaFQKJVKtscwFAolk8nxZY7418xms1z1Uv3E6bJ7FEXhsahD vYpD8fv9VIWM4oXpzW63m8lkrnVvy7IcDAYNw/B6vYqi0J3Wbrc9Hs/QDl7hcFhRFL/fL97YkUhk8JaQ ZZk6kFHvj/HZlRwqEUGvB2cVOiwFY1L7uklOlyjZRb9wvV4/ODggqcFnJ+quTs/vYJOjYrH4k5/85Ozs zOfz2bROuVzmjwm/EG63m1qjRSIRMq8OHbDo2ut2u9FoNBaLxWIxfglkWVYUpdVqPXv2rFKpFItFOqDt OHQf0sQbi8WCwWA6nW6321xJuN3uwdwZPuyNjQ1+zF6vZ1kWn1LcbjcdhAJp/X7/0OTbQqFAphoxoohq DbtcLp7xS99ohlFQxBTWa1g4loJBY0O5XLb5U0Oh0JhsTNETPGYiTqfTgUCg2+2GQqEr7a5ut9u2vbYs 6/Lykhulw+HwUDfkdIFmU5BOpxOJBO1FuPrpdruNRsPj8USj0Sn+dC6Xo53EUDVGE9OVBxH7xtmg3CKy tfKEw1AoRNPBYPHBoVdTvGGoWoD4v/1+n+Lgrut9s33yyu1so9GoVqsUQjv+drIF6qdSKUmS6N8xvxUM Bvf29lqtltfrnXCL1u12STMlk8mh4w+Hw48ePaJsi+s2XgkEArZ4gjHjp46jtqxFNsLF3ul0ht4w9Eep SDx/xsdM9JeXl7QhpoTPa9n8R0FbjkKhQDaqtbW18ectm81yw4zoMBpM1iBM0xxqQmi32zwt5fj4mPKA DMPI5/P9ft828ms96bSvoNeapj179mwwyaharYrdfYvF4lC7UTKZ9Hq9BwcHVKx9Y2NDPDmDXqq1tbVg MEhVdOmRMU3z5OSEfDrZbHbQjEFNvgb/NIXMD/2C7733nq3cy/xrzQ0FgmMpoP2TaDQelBSpVMrj8VA2 5uDkKyZfjZ+ag8Hg1OXnyuWy6AIf5YaMx+PNZpO+ztB+IjOEWlfzdHMx4r3dbk9XRmxQamiaRsaGWWUb 0jnZ3d2liSYSidA7g/PC0FKzsViMr3yDddzHe9/Gj4r3oruysgtlQ9DrWq1GsbGWZRWLRcpQSCQSlObd 6/XEe8Dtdk/uZRvc2o5BTFWtVCqjUlXFNqocGnm73R6/piYSCSq7xMbWwxWbv8Tj8aGXQExbaLfbb7/9 NpWwFMdWKBTa7bYkSZlMhpe5HGVaoxKZ9FpVVSpkPmqE/Ovw8IUxSpp6s9Fry7LGV9DPZDKhUIh3F+Lv D13zfD7f4Nfp9Xpk5RXf1DRNUZR8Ps/vfF4ndKgjZgxer9dmALYlGYnh4VcibhJUVfX5fOPTDG31XSgw hV7n83lqMHnlHzVN8/j4eIxDoFwu88qqZEqc7Ns4CwTHUkC73nq9XqlU2u12KBQa6rnnLsZByD/S7/ej 0ahz7rpBwT7UDUkFp6n18w3DC8hxM0aymKZ5dHRESv/BgwdilYhBK9F0iHkNlJl282MSgzW8U6mUGFKX SqWGWg4CgQC1zyaPuK2ZhThTX6tLpJi12Gg0Wq3WGG1q815pmubxeLgBrFarWZbV7/cH+z9rmpbP52fb wGzokLrd7uTaulKp8H25aZqjwiC4gWq8jBbvw2q1SlckmUyOqtFEI6duBnw5r9frYucwsr2Nb3wtMon1 IhwO7+/vU6zDGBuVeGIHLWqDiN2FOJlMZjCLpNvt2k6muGfgcIuseNI8Hs90vTJSqZTNNmD77oM15YbW 7yfEKY7CcWRZpnhzt9t9fHzscrkymcyomdDmZ5ywYDS1rxvzAcuyIpHI48ePdV33er1LUmIOgmNZIBfs 1FmRtC2b7ZAGGexaNMZxcMNSMyTheVOlUQ7IWq3G547333/fiZMgfuVKpTJDwTGIz+ezNZ0aBa+NOIjo fbOdN9oxu1yubDY7uMu3LWbdbpeMAUNnK9v1paOJ8oJbAohEIsH3goVCgerkjvmCIqZpih7uobTbba4L iWuZo2xdwcZ/WJKker1Om/ihdiDbteO1g0e1Mubw5dw0TdvyfHp6ShEVjDHLsjqdjq1Bl9jsd2jC5FC8 Xu+V3tVAIMADX6autePxeF588UVd1xuNhpjJYhMcg3U8qaUUfUa8pqMscMVikbwho9rJhsPhF154oVwu 08dyuZztVhF1qtfr3d3dHXMvpdNp7vCieDVyi/AaBIyxfr+/u7tbrVYbjQY1fOY3s/iExmKxMTs0Hv8R DAYndJatVrdYcMeg2sY0e/r9fmql4dDf4uV7GWOHh4ej+mXYNgQUmn6lxZvQNO38/Jwszzbnq4i4eMxh o3BzrUbeN7JPiKtOtVrlO2bDMAYz6zwej+jao1VhVMkWv9+/tbVFJVt4XLDY8YQCL7gctN0qFKw3ydep 1+sU/M9Lzquq2mq1bMnYYqyix+NZW1u7Vuq4ePWvPP88VILKdg3aFMPhcCAQGLR4dzqd8as7hVj5fD6u tkWoRy6Vh6ebPBaLifaGjY2NWCxGVXxmeK9SpFS73aZzfnBwQBf9umGDFNcZi8W44EgmkzZxJsrKUCi0 u7trGAaXg9RnlUJwhmYUdzodHntxcnIyKpuMxj8qK5WqtVarVSq+Pn6Wo1Lrg2XURbujqqr1ep27aTRN 41dNnMHGmDcsyzo+Pqa5lzo+8kfV5o4nlsSkYQOCY9XRNI0qAU94g163pdzUjM/a5USjUT555XI5RVG2 t7cnrMjOW03W6/UxgQXpdJovomOqJiwVQ71v4iZ+VPs0qspK7bJovWw2m8VicWgfkMEQ2rW1Ncuy6vV6 PB5Pp9PUeo3Gk0wm2+02/7uTO/54qmGj0ahUKv1+n9ucxJRgcc4NhULXvUvF++3KLi1ig4xisTi4uvf7 /aH+dVHKiBUpOO12+7333tvd3R1qMKcFXjQd1Wo1W8TuDSvfUBlWHlrR7/f7/b7f789kMvl8XlR1jUbD VtRuQqgbdrPZHKzTQy5UHpwxKAhkWRatmP1+n55i3nXZZqUzDGO6Lf4Y/zVjjLoTcPsBCSnbZ2yyVdQf oltKvND1ep3KQA/+RfHZqdVqkUhkZ2dHtHLVajXqQU2fGeMDWiAQHEsKdWikJDrntGq1WuWie4blHNgs GlNFo1Funx+zzLtcLpq8PB5PLpejpWjCkGzRezqm6rDP53vhhRfIzeFoX3inEUPYRq3H3Dcn5tSJizEv ARIKhaiMRDgcTqVSJCCoHBb/sM/ne+mll7j+y+Vy1AmZcggnGbNtz9dut0V/h6qq3KmXTqe5DrhSbei6 XqlULMuKx+MU/CSKjCsTCMU9JXUc3d3dHbW7ZYwFAgFFUWKxmLgIUXxotVodDMuwBaMEg8FWq5VOpzOZ zGBQDoW7Un0OfiGmQ1VVft339vba7Tavu7+/vy+qDaLf709eZExEUZShZZR5GW+/33/v3r3Bx80wjIuL C4pLyGazfM/Auy7bWtE6YYLVNO309JTGmUwmM5mMoiiDbtBIJLK2ttZqtSiwQxSgopSxfccJ567j4+ON jQ3RqUrqv9vtdrvdQCCwnI2ZIDiWETEQ0mYynS1iJHalUiHXY71eJzv5lbmOQ+HdRMeU/KLSSV6vNxgM ejyearVKYWvUXoQ+EwgE9vb2VFWlsiJj/iJNXlPkffn9/jGZxiKyLM+qIsUCicfj1NaByhWM/7C4poq7 pUKhQO/z+lcUv2bb7JqmeXp6yn1btApS92NN06behY8Jmcxms36/v9vtkjtjzEHIJUGDLxQK+/v7vNwZ cWU1s2w2K25Mm81mu90WJZRtd9tut7e3t21LrCzL2WyWpI/t+Db7UyqVun//Pm/fRZ4ybl03DIOcCEMv xLUQw5VKpZJogBkcJGOMevbW6/WhfdcmpNPpWJbl9/vFRnGdTufHP/7xoLtKrNkly7J4osgoQoY3Mkny yI/ZItYZKpfL4kkj8yrd55IkiV4br9fb7/fJHkbVoUgT2BTkqAEHAgGxIiobUXuXZ3WRS5qe9Pk3nRgF BMcSYVkWddzhUzljrFarUT0cy7LIYhYIBMaXS5oO2u53Oh1uwaZGStdaGyinnF6XSiVeXkKEu+QJbj5l jOm6LhpRr5USOcnYqLAgNxqRd5YyjSORCKXV3GobxpWkUqlJvEKlUqnZbFICdiwWE3dLo9JedF0X57Vy ucxNEQcHBxSCc35+zmfnR48eTdiMW5Q+4jYxGAzGYjFuS6OUn0k8Kf1+X0xSsIWI3rt378p7XpIkW4iG Te8Gg8H19fV8Ps+taMVicXBs7XZ76EJus3DY3Itim+hgMGjzy1C60PjxizQajXa7TevZmPwmOr10ruii UAMEnofcbDbH90gjeMNFiq44OzujMxAOhwdFcLFYtIWBi4qTdiPcNtnv9wuFglib9fz8nEpgiUcol8s0 DwzWGZuQMWUk+cwWjUZtiU6SJNF3KRaLrVYrn89T1yrRPcdG1N7l8aeDtXqHUq/XebrZ0GitRQHBsSzw R4U2auJ/0Xyaz+fp1qzX65Zl8YWZnsDpNOza2hoPsEomk71ej1tQGWO9Xu/9998f3JmNwTYzHh4eDu5R bPO7WNiK7Ma2Y/Z6Pep6MEYK9Pt9OgPUnmPQDyU2XeRzgSRJlBlkGAavwcUYi8VivHH27YV3RUkkEtcy s6uqymcrHnLPiUajYtd4YjA0b6jlX9wL1mq1CXvfbGxs5PN5wzB4EViCZuF2ux2JRKjH/SRHYwM1vG2i dhKrXj6fF9XG0DJ6qVSKzj/9OHSdsD0vmUxm0G3BGCMrYDQa5UOVJIkbVETLyvguerytGu9LXKlU+CO/ vr4uOhY1TeONoBljiUSC9x6zLIt6johJSZRHLUnS+IAwseHihz70Ia63aL9uOwPNZrPf79vawXP1aZNl rVbL5slijNkaHtVqNR7y1Ww2k8nkFHWQ4/H4YLK3Dd7qxfa+KC/Oz89tAxYvn2EY5LGSJImfE/EuGrpz qNfr3W5XnFRHRWstBAiO+TEmkrHX63Fhns/no9Eo39Wl02laSm1TLU3WvANLMpmcouZEOp0Oh8P9fp8a SYulDzm1Wm1ywUGlfEVrM9/dip8Z9euDz6fYefLhw4eDk6mYPSuGbdvKLIpGo3q9zu2ZhGgjZYI/+Oov 7ABjmqfzELlQKJRIJMLh8NA7yjAMSZLErihXZmOK2HrUUZlLSuejSLp79+6JCahU9No2a4shOMFgcPDW mlzPeTwe8iqen58PNoVnjDUaDbfbPcn9T+5CRVG41M5kMtSji1bWra2tSbS7bRJvNpvvvPOOLXm73++L 33GoS45sSHTvhcPhUCgkLrdbW1vUQ4B2t6enp0PLwHg8ngcPHlSrVZfLNaa+U6/X44/S6elpOBx2uVzi FykWi+J6ZhhGPB6nEl6BQMB2fSm2xnauaJyUyzZ0FTcMw9Zw0fYBKmAv3l3//u//vrW1RZEuvV6PekVR TvKobyoiDoOnyxK6rufzecolnuRQHJ/P9/jx42KxyLtfDe2ocOUdblMb0WiUF4ir1+u8HdX+/v6YlsKM MV3Xy+UyXbtBg5mjafzXZUUFB5WhlWU5lUrNoWkvLzUdCoU2NjYGp37b7qder0ej0b29PUVR+CM9mLbX 6/X4nF4ulxOJxCgHBPkOabNrC9bjbotRdsLrbvSpg5GoOWwBpOl0ut/vi3MNCYVoNCqaT2lGE/P1nz59 urm5SfEEmqadnZ1RXT++CPE/SmmT4rZ+MPWOTErhcDidTg9+9zExpI7S6XR4+/LB6iM8RI70UygUssX3 WJYl7iA57XZ7csFh2zG3221eToB0re2REe9SDoXgUCUrbi/hhEKhKUrOZLNZTdOG7tgmKYfVbre5xTsU Cok6eGgJnG6322q1hnb/SqVSg3vccrnMr5etFzkbUbFG07RkMknFQ6kSfy6Xq9frFGZID6YYvXt0dBSN Rre2tmzL+dBCWzZst7SYZEHYZiE6oFiVdTAsNxKJDObaNBqNw8NDimOwfWvbYyiqK9JbjLFQKLS3t8c9 NYwx7qWlX9ne3h5qBxoKt47oui6qDU673Z6iCqfL5VpfX6c6bFS3tNVq+Xy+YrFIFlwqH8I/3+l06NSJ PiCRUCjEraqapondXorF4tD7jXzWjLHT09PBnCav10vXzokKe1OzioKj0+nwO7her98kxmpCxDi7fD4/ WMQwEAiIFQtoYLaPUQBmtVqNx+Nk5bZNEKPySC3L4nNfrVYT7QTUY9ayLJ/Pl81mbWNgjIVCoQnbgXIo b40/AIMNTVwu187ODrlydV2nnZbtIKJhQ+Ts7CwcDrvdbl69e1QGoy27geog0VqVyWTa7TaZlCjO7uHD h7YpbCHbgm63K86t4gJGDG6s3333XTEYgpqbDB75WqEwwWBwa2ur/v/Ze5cYR7IrPfgGGWQEH8Hg+53J zMrMenSVNBpBsv8ZD2xoYQxmDBgQbMMLbzyAd/begFez8mPplTez0sqAV34ABjwwZmzZGmik0asldXd1 VWblg0y+30EGGYygF5/yzOkbQWZWd0tqqP6zKLAig8EbEfdx7jnf+b7JBHluPtMNBgPwl/Pzdy118GWl HnV8fAynodVq7Wc46Pf78FQIjQ8GW6qkQO0GTn7I++JJEMAI9iTpeL0Gublk5XJZURQp+0593vM8v4+F UsbAGxRCPHnyBMPkXvY/vBdpPfMbaY6gohWZDn4CugTKXvzLlWEY/ohRuVwG5heSckIIeEjVanWz2XAH Cy8dnhMvnFYUpVqtYmhzOIIUktzfXaV6Y0jI4hay2ayqqv1+H6v+wcEBzS27KC4+C0osHA7jOUSjUfTk w8NDx3Gg/Uanua5Luwi/HR8f4+3ghfpd1e12Wy6XdV1HLZU0CQS+PiGEYRi/JJnuz2LvosMhLVGXl5eB CmSfo3FXIDCQABRYs9kkfIOfIC8cDtfrdS7KEI/HKYmQTCYxofjrUSWHGnKy+Hx7e0uiG9FoNJPJhMNh 1AoahuGnsnmg6bp+enoKcos9VKS7ig/Bx7Xr4qhTD8yIE47Pz++uKArY1kOhUCQSkbYL4XD42bNn8/kc gHlJ7OBXY5vNhu/qAi1wo9NutynOIfUuwzC22y2XwXygcYINaWhIDUgkEvtRqNKEHg6HKWA+Go3I3Z/N ZmAih/uyWq1oMW61Wjy3bRjG1772NU3TptPpZDIB5vch70t6CPuHPA9NT6dTyeHAOio5HOSakxYXN4nf 6ebmhkNhhsNhuVx2XReYQT7o0um0tKKgoHe/RM7t7S2v5igUCqqqPn78eDgcKoqSzWaxvEWj0VqtRtF7 mK7rR0dHgZcNLGbGmAo8fz6fS1NZLpczTdPzPAR9cdC2banMh6TeOagclkwmeSfM5/PZbJZHKQJp6SOR iFTlAdtsNpvNBpqrpml+aq5n/kPSEan94E7E25fY7kUQyy1KBNAwzsYB/1Xqxoj4InD7GW/kl2HvosMh zTuAyD1c4OpTmGma1Et2zYyTyQRdTdf1RCLxkLgCFlFCLSiKQgSIjx49otErbSL5AsAnMsKOHR4eoit/ lmKqByqbU4N5cloK1dCWSDC/iiNFUPcVjUbhtKHELvDnKK0gZQ0waB+oBAvaA6xzn2O5kJ8nyk/dA1Gx 0WjEpzBOIsR7l6qqINz0b4UDF7Zdls/nl8ulf6Y+OjqKRCL7ZRoQRXj8+DFCI/l8Xspbo6SC7/XRE6QU SSB0X7wlDV0ikeAJi/0n83l8F7O7lE3AS/E8LzDpg66FJ0/rDf8JiuoZhnF4eEhvLZBnfTQa7Z+yeMOo a2ma5t/1+nFXtm3fS5232Wxs20bcXuxWqIZfCKcBvk4ikcC75n3VcZzz83MefDVN8/nz55vNRtf1n//8 5wgbQP89Ho/z4NbDAdFY6VGwTQdd1202m3hlqF75jNFNPDrbtpHFzmQykpcWj8dN0ywUCqFQyN+rpXCv hL6Kx+PHx8eTySSRSHie9+bNGylyk8vlMpnMF5NmVLybDgf895ubG9olv5XA1acwMORDbjTQ4RiPx7Te 27Z9dHT0QMi9oiipVArCClwr8vz8nKQyFUU5Pj7u9/vb7dY0TYn9yT+dAQ//KW7zbQ0Ulvh8eXlJm91o NMqTO+l02jCM0WiEnRnOyeVykUjEsiyMXnGXHn5ggBS0QuPxWFXVtyUPJX2y6XTKy4U+o0k7ldPTU7/b hNJEXdfBvoWDfOFRVfXp06fX19eWZQFKJjEzClaWDAiI1NNs2+50OohymaY5n88HgwF8OAkZR/Lui8UC NCo8t0L8YEKIo6Mj3IuqqhKUBMsVT7uMRqNUKiW9x8+rOvrhckVIz6Nh5P1vNpvRaASEUCqVKpVKnufR CJpMJp7nSXN9tVpdLpej0ejq6oovk/6GUSB9NpuNx2NyNwPdl/0RHcuyeGCA3ssuOr6Dg4Obmxv+Q+gh 6XR6s9ms1+tkMolaYoCpbdsmWI+u69FoNHDGSKfTftgE/cpsNpNqUpbLJV+AsR7f3NzA+/Q8DwVoQghQ /AGU9vDSVsyWPGsphNA0jTdyOByORqN4PE7jGtPUfD6XiLYCjRd+0/0+fvz40aNHmIGz2Sz6/K4ubZom eNCFEIeHh9J4sSwLAcLAamohhLSLmM1mq9XKMIxPx8/2udu76HAIIUDJR/0sMAltWRbKN/Z3aMy2iURi /5yYTCbJE/c8j7bIqJ3jteOCFXn6DXrfCPtjiXIcR4qIwqDmzH/d8zzLsqDUgOPgOnQcZ7PZ7JoKP4vN 53MIXAV2d2kXS/wBEMzEFi2dTiNR6t+S7ucelmy73Uokx/yNvJXxzRwPS2y3W/gi6XT6bYU8xMP4fzgz 7NHREQBrxWKRv7tIJML3pn6MCwEn5/N5v9+XgLqU1pnNZicnJ5IcGtnh4SEeJvG8iU9qZYHtAJ8JDDEe j4+Ojur1+ng8RsEtUWjQlVVVJXneSCRimmY+nw+FQvCqw+Ew+tJwOGy1WvAXPzWpIqTs4JNJF4lGo5JA BqcLE3fupuSyIz9LVTwAhFJ8LnCIRSKRx48fS6+bp8b8eTS/mjT3JJbLJXkD4ONCYIlKSKBHw78OQQCe 5aFMK/5Li+hsNttsNhINPIAFBN8uFAr5fL7b7UpLr98kJ5vPEnB8p9MpP2e5XF5cXEDf5OEAhcFggOsU CgWJqVYI0W63w+Ew3RFuGdwkgJrREGi1WvCq4Vb6y3Z23bJlWYTWX6/X19fXrusStkY6ebFYmKb56NGj wG1wIEKLTOKZJSr629tbHvP+Ndo76nAIITCLgfHGH7vmBVRnZ2e7nAlexb5L0dTzvPl8zknK2+02+iU6 t+RtiB0VdDASbRJCIIYRWBFumqa0xnO/pFgs4o5SqRTGLS+OuJeEn+aCXC5XqVR2he94nDzw4ezhD1BV 9bNEDpbLJVClqDSbzWaS+tenvrLYrfI1GAxImd3zvLcl25EcFH+Iy3VdPp1Np9NarRZ4KV3XaanYn9jq 9Xo8vyC5gP6eCeP5Lz59j8djcjgCsUpAyfjDDKVSCRtfgJS5xhXwAdvt9vLyEjcFtoYPPvgA5wwGg0wm U6lU3haGxcXfPc/zoxYkgQwKeJDNZrNGo8HLH+bzORh7qQTm3nInx3E6nQ7Eomk54QGDdDo9nU5RyA0A BG8VOWeZTKZWqymKwhsJJj1O5DCdTgeDgX9wAbfoui62JXsajBCU/7ht2xRVtW37Xm9DCGEYBtjxgTTi o+n29hY3IgHgCI7qV3OcTqfgL+acp5ZlkcMHiR9/M1zX1TRNcqSwl5BGBFRh0W0KhQJ3+wKrw2B8DFKh 2Ww2WywWiqJATADj/ebmBhe5urp6/vy5f6YK7OSQuPPPwzx6hCxMYPN+lfbuOhyKouRyuV0hMh5ku7q6 ajQagXt0HoQcjUb+NZWTlBPfFJ+DFosFTx/E43GevpVsvV7z+R1xXSmHVyqVAB2Xsqp8MFBHJHB4LBZ7 9uyZbdv3qqILIdrtNqb+wWAAiLh0wmq1AoU2HRmPx/6HE41GgWLDtvXNmzez2axUKr1tXYzfqIYFj4se GtS/7s2hYKO2y8ukciGwBknfoh962zbH43GKMPtprPxxrD1pWvQBpDn8D5OzvQkhut0uhXklp0daX/P5 /GazkQJLvBm855imKWEqYYG5QkiuUNkI/12sASgmwhH0Ov51gFoQCXt4bIm/r9lsdq/6j3+uD4fDnDMX Jo1HpBv2693DTyVlVIlFDXhGIcR6vd5ut9LdcQRuIpGANAw/AS+FP9LAEuL5fO6vrAk0TdMMwwjs4T// +c/FHZdG4HdjsVilUrEsy3XddDqtaRokhaXTUMK2vxkSrdZ0OqVS0tVqRSU2UoRvl0/gx6Bst1vbtiOR iKR4TN5wr9cjJ2m73UpXjsfjkUjE8zxAttfrNfwq/tz4PdbrdT9JiR9SlsvlSBARDxli99R1V6sVtFSk ln9BCJTfXYdjv3EU1Wq1evl9v0cLAAAgAElEQVTyJTnv3HbNtmQS3xQqLPg44RLegTl1btJP4L/ZbJY2 E5RlVFWVDyGIf/ovCC8bHVdVVcdxMH8F1vrzb9Fn/0AlHChv7S4qLaDYPM/72c9+hiOdTgdFwrsewkNM EmDkf7oXr3N9fY3AciaTCcTl+cuFYJxk+iHgU7+Rs+V/8n5yT/LzwBoXCoWy2SyhdvaAIjE98dXFdV0s Y4qiPH78+Orqyp+IicViqAWVjmcymcDSqlgs9vjxY1Q/AQiCn96T/qDx5ed7kFZxvy9IuS3XdXdVWCwW C9d1E4kEeiZPpO4R3aCNr79yynVd/7q7XC7h6tGRg4MD0zQB/thFEiWEmM/nqDul38VUwH8CngfSuKZp SjMS+jaSUHBiHj16hD/xvIxt2++//z7KJsl1kzDLpmmCsBLFq/RfIQT4iBuNBueK4NbpdE5OTmha03Ud aTIKCdy71eY06kKIo6Oj9XqtKArnQb6+vq7VaiRHwn3owWCQSCTQcz41zZLrukgv5vN5TdPgOkhhG8dx ArclElWx53lSpatk2L1IPTCwQyLTh2gfAlHIBgKzxfGwJycnhUKBVpZPwTXyy7D/3+H4hMGzBrRHKkUD 3Z50fqFQ4KFg/wUD+xBGHTpZsVgMhUIvXrx4SA2qqqqlUgkBPdLbBO0dYGLU+8Fx5HkeCr0kJi5uNCpQ qofPk8nET9pDRtpIwsd/sNlsaKmQgurtdhtRJf89SmUpn510K5fL7Yro7irHhy0WC7q10WiUz+cfDlfM ZDII+WLP8VYNJkO5IDgbgLDBcemhkfvrui6ReELM4iEJI3RvIrjkAQM0XgLWCSGWy+V8PveHqfieTKKa wP5VCJFKpZCu3rXNQiH0dDrNZDLVarVcLicSCaB/8PxRqIw+jOecyWSAspIu5e/nECGCrj2OQBjZMIx6 vT6dTjGsAhtGacF7NSwoOoVgDI+HU92v8LFx++W4QLfQarWgZVOr1TiyMpPJkEPcarWklZveTqVSkSAO IHIYDAbL5RILFcplqYI0mUxSggnwJqz3m80GGCzJcZfSLnxOwLcajQa+QoqMwIqFQqFQKAR4AabNQP+j VqtFIpH1el0ul9PpNJ6bqqqtVgsRmvl83u126/W653kff/yx9Haurq4gqhCLxRqNBn1LevibzYY8LT/B DKzf7+NtkhghGWeaJ7JaENfyASu57xgjiqLQ1SKRCDLa1M0ymcwugBqExOm/yOL5IzeDweDg4ODFixcS du3Xa1+UdvyyzXVdUIvukRUFKAydwDAMie0uUFAHa1Imk9lVHBh4UFVVaYssZYv3WLFYzOVyrutKiAcJ Jf6Tn/wEH2azmaIou7yNXC5HWzFpsO2iERNC1Go1KB+mUqm3CkXc3t46jnNvYd6nCG94ntftdm9ubiKR CFRqMXGjrICf+VZjz/O87XZrWVYoFOJQ/+FwiLil5JPtSdI90Hq9HiZucHRSvSt3dsFDj8983p/P59fX 1/V6/d7waSgUwnoQCoX8m3vTNC3L8sPgAwcOD3HtImET9z32druNdRf83Njoc+cGSyNeRL/fJxSqruuo zKTtu3+a7vf7Uq0E8WqgEmc4HGLxo+8inM7jQHw9Q11GKBTiS6xEHLdery3LwktEWQf/K4rYc7kcnHLy OSAZA6CAEMKyrNvb26OjI+AxTdNMpVKvX7+m69DbR9Rtj3OsKAp0CvlBvnwimQve92KxyP117MGkCy6X S3LrwRK2WCzIpUMYiUaHxDtCYR4EgF+8eAFE8Ha7RR0KsmNI4WUyGfr1VCo1HA7JdcDTg2qJ/5ZBxYtv RaNRTOYQI7QsCxMF18TZbrdPnz4VQvgx+Ov1Wtd1/6KOnAs+oy95nse7OrAsUvSoXC47jtPv9yFfEA6H qQPgRnK53OnpKR6I/76kYaiqaiDWyrZtf0D9125foKb88gxyG4Q2klQ2yFarFY1AKAkdHh6ik4HAjp/M C8NWq9WuKK60bO+RGXy4Eb2dZCgbU1X1IQGDZ8+eSflgCba2pwAEyvWBfwIqHmtVYPS43+9DlwFzLh1H nRvml09RdEA4XCEE+B6y2SzUd8Und+H7qyJjsRhtOlGASqJulGHpdrtYXYbDoed5n2+skq/f/D3ydK9l WQQ4kPxUMHhKfOeBRuvBZrMJh8P8XSiKUqvVgEilMj/u5XDjX8Q6LRFmB9pms7m9vUVEpFAo8DvdxegQ CoV0XUfFLx20bRuN13Ud/yJWgZZEo9FwOOyHQPJ5vNPpwFkZDAbQKdxut1dXV3tQONhjCCFyuZw/MQ/j 5HXT6fT4+Jj+hNpghCoD+aqlFQvLMBRtdj0c13UvLy/3K+b4Vy/y7G3b7na7iBvhCRiGQW1Lp9P+8AB0 2s7OzjzPA9qUzzM8Huw4zs3NDe/A0rSwWq0kyruzs7PFYoEESq/XOzk5sSyr1+vNZjM+L2GXtcu95o9C 13W+16dJgGdJisUiRhOXrOOXQkHfrp8QQiB4Q/+1bdtP5Vev10OhECFvVqtVrVaT+s+9Id5Hjx5h9QGI mGea+K9/+OGHqMQmQPH+y/4K7J1wODiQYjabQeHdf5rUcZW9atc8ZjCbzXbRJD9cyPFtTVonCDMF1iCe AU0mk+FwmGegq9Vq4JJQq9XAueTXdIaBs3k4HKZSqXK5HDi71Wo1iIbj3kEZSc9fVVXg7KLRaKFQII6a PWHthxjfkIGcAxtBhDcBoUWR8/6MAyhfsUQlEgnKOwghRqMR9h980hmNRtgtFYvFzwLL2m634/EYGyma fWKxmOd57XZ7vV5Lriq991gsJs2PnAdsv/GV4OTkJBaLYTcWj8cp81WtVk3TPD8/tyzr448/9lMR6LpO 6weJlaPee4/P2u12KZADYij6E49vYY2km+10On7vgR85PDzEqkCb1MPDw1gsJkX4MBZwI5LeKahHAr0N EHiD3hdHEBUQQvil6aT4kKZpjUbj9vYWUTd4FYH1ZfF4fLvd0pZdVVVycGG7xDiEEOPxeM8gAh+rFI0/ Pz8vl8sUNSGUCfJNYCWGX+V/8ii+Q1hFijHwMdJsNvcgQAPxp4PBgB4gioloTZ1Op6iMi8fjiM6mUimi GBZ3WYloNDqdTqPRKM3AqAeRfigej0MajWNXkc7o9XoopiXokuRt1Ov1/fO5P66MBLd0v/7Ayb3LRCKR 4EU6BANPpVK5XI6XsuOtjUajz5Ln/Rwt/Md//Me/7jZ8wvx8i5/RMH742EYsNBwO471iKUJoy/M8NCAa jaqquktn2fO88XjMw6S9Xq/b7SpMM5p+CxRVmUwGtQOf/Y5Q+dJsNrvdbiwWw2RN0qBQcz44OEC4r1Qq GYYBbj4KaSK15L+yoiiapsXj8VAohOym5LMj+CzuHlogNHK73UJZAKXqSPfQ5owWTtd1ke1uNpvL5RK0 mG/7KLBOz+fzcDhMm790Oj0ajTApg8s8kUhgW/mQ54/gM9rPg15CiPV6jQWDjkDZFcHkh7OljUajbrcL YTC4Ka1WC6upZVlQGAF9AiI36/UaJCWIBBwcHPDgeT6f5zVBuVzugbzsnU6H7g471Ha7jXg+78nD4ZBG JcqI+EVisZht29IS6DjOZDKJRqO7inJxU/Rf13XR69LpNF2/2+1eXFx0u91wOIwdgkSx6rdEIsFZKHDl arUK0HQ8Hqc1A6xTiqJwLW/TNBOJxHq99kN0hRAIxuwKIUjrMW9nLBbLZrOxWIwDdVVVDcxAaZqWz+fp vdRqNQms6rouMC68z8NAWxLYPHG3g+KJDyGE4zjSgofuDSogQEZ6vV4oFEIWFdIHdHKpVML8EA6H+ZXB M6GqKkeGcYNUm2EY5XKZYCW8qXx1lzSewDfKY3vZbJambswwyEyNRqN71edVVY3H4/7SHgAtObGY67rk Wx8cHNzLICdJVAohCoUCNFP4ekR3GovFEOItlUoo091/fbJEIpHNZjOZDLgeAh1Z1BY98IIPtE8ByH0n HA7sGHBlTdOg2jAej5PJ5HA4vL6+Ho1GoFtBtm86nbquC9xv4C7t8vKSZgQ+i1mWBWkxfjLS/wj5vlXL QTBM7F4QaNY0bTQa0YZ+MplgguZ7INDkxWIxXtqOvTg+r1YrkI+NRiNMxNK+fzabvXr1ajweQ5CQhtx4 PObbWWntcRzn6urq5uYG16QdP4QnCoVCKpXaNbuNx+NAGpz9dnV1BRLA1WoFFG0ikSiVSnyO03UdjuPb XtyyLC7U6TdN0ygXAOHsh/wESEFWq9VyuSSnjQP+4/E4FFlBd02TeDwef/ToUalUklZxOMdwDU3TfLhf y53maDTqOA79FtZ+fJ7P53xUSi8doqCBc5wIqtZB2Z7wrdCO42BCh5uyWq04QRkBovfXG2ezWalOFa6b YRilUklC22F21nUdNw66Nrib0qoMS6VS9OQ3mw14F6D/Alil1DZsBoCU7PV6mO7pgcOhhGejqio54uFw eLPZaJqWTqfRDfyNmc/nuB0/cnN/AQj8yIcwZAghHMehM9frdSaTOT4+LhaL2+0W/aFer9OSA29mvV7D B4Jrjvgl+rl08c1mgycAOlGp/0DHm+7u0aNH8/mcT7PwEvhXptNpYPkPWJ4fcr/3GkLFEGYDxn//Hgld i954PB5HB4MD7XmeJBMDiSiE0B7ucNi2DUZ2DBDw1qCfw4PBaXBiPt2N77JP4XC8EykVIUS5XMZQQaU4 bDabUUkF4qjpdJpvOwIFCyR1vmQyyafjz4UlncNX8/l8Pp+nELGf0QvpfF6XEY/HUSfJO4Q0NmiEw6+S 5I54QLjf79Mslkwm6Vf8Dn673cZGZDabAUDO/4r2+MWsyTabTSByFpMXBQP4+XyKTyaTp6enaB4vAhwM BjhIXHv36kTA+EY50AqFAnk2yWTygcs8XyTAVil9kT8E+Mf4HIvFdiGLFUX5FPHSTCZDW3lwV9OfeG/J 5XI0TALrhEH36fc5/BMc59OrVCpSnAM2m80ymYwUvr6+vnYcB/vaxWIBjDA/IRQKBbaN7/hN06RoAXQK RZBQmaIoR0dH0N3lQGZ+qVarheE5m81w++l0OhQKIUSEc8BAT1/p9/ugV1mtVtiSKory4sULz/Mcx6Fk P6pqhRDg7SYWH8m63S6IULn3sKsYGwEe4AcXi0WtVpvNZpJ7BEafcDhMXUKayjabDRXZlUql9Xq9XC5X qxW9ZUkZBInsZDJZrVYBhrUsi/wqFHAi5RGJRJ4/f06F8UII5CihTGuaJkHg+fPn7F7iDk/qv3dqnm3b 2Ah96nVXUZRMJkNhqslkwoWa/eZ5XqlUotrpxWLR7XZRokiY6MvLS3oReO/D4TAUCuGvwJYKIZLJZGA6 mLOPIJMuhMhms0CwCSEGgwHUfT8j0cDnZe+KwyGCMPb+lVt8cqoNfEnSdSRl+c+FzW0+n1MEpd/vcx9o Mpmcnp7SbBtYZRooq43SssFg4Mdy7mcl4pZKpSCAhMCv9Fc+vfLZCoRFeNr1ej0Wi/kpDeDs+0cv53Ll 2k7Ch7nh38WolpbAXq8H3h6aB98KYec3VHt2u10gWvafTHLh/H1hWtlut0SGbZomZ3pFuAJs9J+dDw2G 1MlkMuE/pOt6Op32PG80GiGoi+JMsLU+e/YMAh83NzeWZVWrVWkUVCoV0zQRKgAtNOSp8FvAFRYKBV4t st1ukT5H6Js6Od6jv0iq3W4XCoVEIqFpmp9STNM00zSlb52cnHCfW1VVaAKrqioN7fF4jIUWAn6KoiwW C+5tSEyOfMgMBoPb21v0gdPT01arNRqNEC/haL7FYgGmDf672O+Gw+Hnz58vl8vFYiGRlvK9DQdmIe1V rVar1Sp2/6lUKhBFxOXOaUudSCQODg663S7+i8IunJNKpZBmkqYF7m/N53OaZGidw4Pir+bi4gIUwwAV UUEvGeJD4i71TM4T5hYIQO6iI6PoL8wwDARCEPDDsk35FNIPEkKgkjYajfpTDChAsywLpEEoqOYyjVIO C2nr7XYL8JOu64jZiE/61vxdSEdqtZqu61Cc4OFSNIb2mZjK6FGD6xmuKl1qPB7zd4Qbf1uhqF+2vUMO B+z09BQ0lEAsYg0WbAeTzWZt2x4Oh8gv+q+ACj10X+TLY7EYBKOJeekzmrTaSVscjh+kz4FhUi6rTdOT n7PSn/fN5XLkd0tb511A2u12yxm1KRVFZQ7pdBrl6ajFBYIBm0LLslar1cXFRb1elwInfMru9/v5fB7p A/HJ2vdMJsOnD2IZ5zabzTqdDh4m4HIQffDfi7hLA9H8iLmez/iGYbTb7e12S4ETCeHoBzzSO8JmBXnx n/70p0KIcrn8pS99yR/t8EuvfXYjWXApjnV0dFStVovFIp7wzc0NsbVqmgYeDiHEaDSKxWKBtTmIhPMO Q5JgiARI56OuhOetTNMsFoukAcGN3i81jBscC65Mm81m/Q6lqqr+MIDjOMQ7MpvNgPXhS4s/H8cDdVhF cJuNRoNXvGezWRpHSDju0kng0gf8d/l/C4UCdT/+/PdvXvlbppuyLKtSqZydnSE9sV6vgXsFNxegHvRb sVgMyR26Dg9SQusR8YNEInF0dMRf6HQ6pRdXrVa32y33Y7rdbqvVMk0ThdDQNMF2fD6fI4kcGDOmAJUQ wvM8MNcho4qDfDbo9/u8O1FUMpfLVatVFDAj1gLfUQgxmUxc11UUBf4TyTQGKm8Ph0P+rUql4rqu39sQ QZJ7qqqmUimpt8diMcdx/Bmiq6srYEWJ65kbsleETfxi2rvlcCDdlcvlKIharVYzmQzIbZQ7HSmqCdxl pmny5UFV1QfuPlHhFgqF9offOc2RZPV6XZLWrNVqu5Kygb8SiURonQa+wb+kJZNJMJ3zRAYJh/phiZzB HXTacDhWqxW1DQKYmBHi8TjNX9xF2yV2AKPkCCh9hBCZTAYVMdIjDdwVlUolPoZRmRmLxXYFper1OgLg dL/AQuKv9HZGo9GTJ08mkwmmGLCF3t7ewuOhsg6+ucF0n0qlaOvZbrdTqdTDg71QiprP55FI5OTk5IHf klouGa/ie/z4MQ+5o4KG/ttqtTjLghCi2WxiYUsmk4eHh/RO+UVWqxVnVU+n0zynCUPRYGBRRi6XG41G Eg4DmaD1eg2BLqTJidYa5rpuIJcambTvBAUTn7X90NdKpYK+wZmj/PgSEFtJgqjkcNi2jZUjn88jux+P x+v1OvhRCoWCqqr0uPL5vGEYT58+HQ6H0Wj0gVS2w+EwkGBeCIEaN2g60nvv9Xpg/YrH4ycnJ7PZLBKJ IFu06ydc13316hWNLIxNPkd1u11d10H3oqoqYLnYmsOZmEwmNKxKpVI0Gr24uAjUc0FoDbAhHCFRul00 zeAyCWz5YDBIp9NUoQP4Kv213+/zWY7wedB9FUKQIAC/2X6/D+pk/kOImRmGEbhVk7DD+Xx+uVz+4Ac/ CGyzEMLzvMAh7DgOum65XP4iFKQE2jvkcPComrjz5bfbreM48JHfFlv0tiBELvUpPhmK9F+50Wggaspr nPAVyb0Yj8d8RGH5xHDd1e1IPUvaUlM5vmEYuVyO75w2mw21ZDab8WQN2kCjDhsdXFyKymLTL239+Vzm jw9JVIwwQFnx+YFo0EqlAoyedDVqba/Xw24PRSJCiG63i5llNpshm7MLsTgej4l7B8Um9DRarRYEb6Vt x+3trTSJ39zc1Ot1v88BhQWKEgGzyTdtP/jBD/ar6MEWiwVII6T1AGaaJl8XO50O5xf3h4Jvbm4Mw8CQ 2Ww2tI0GFop8EV7DiUUU9I6KogRKHN/e3m63W17lmE6n4bGRWhu3SCRC9wJ3kMuwua7rum6/36cSXBBk SRcJDDmg7CgUCsViMb8TjGpJ8clZRTotMKjOfRfap/b7fVSfCjY2YSARjkQicNCBePC3NtCAbA38E9+s S6sjBynvQgUWi0Ua2hLM//r6mmISkUiEOga2ZPfiVTudzi7JQGnCXK1WcLvxX7/0MWwPGZ34ZPgHOTv6 r+RmEVlIrVaTdBl5KTscQZQL0SOCe7qrDdJD1jRtFwQbzxAVNNTtj46OIpEI16hrt9uYRiSuoy+CvUMO hzT4e71eLBabTqcUNg9US9lut71eb7FYRKPRUqn0qTMmnOUednV19eLFi10dAh6xEIJClOB4EUJks1li 4D4+PpagUo8ePQKj13q93rUvQaoeJSqQusY8yKXJkeMEAwRYO/kVms0mWIfxXyn6B1aSTqcj7a4URSGl FXLDS6XSZrMBrsLPIrBrjQcwe9eEeHBwIJFz42Gm0+lIJNJsNim2jOMUnxBCbDabo6MjILzo6yii2TVr SFFfaTkHY4rfU5QM+XtpLiMtUFi32wWIXcqFDwYDXdf3yPy6rssZKrPZLEoh6AVB/51O2G63eBf8DUr0 3igmFz7Pm3odL3sRdwubpmnj8difMYFJndkwjHw+Hw6Hd8GM/ABk2vyNx2P0Af7WUPEhOX+UiBGfXBFt 2+aFGNzgTNu2DdqbyWSC/D2dMJ/PpQlHVVUk7P1NFbvpzvwkwvjier1GaUzgt2CBIm1CiGw2yxdmsLxT YwIVKCeTCepQ8K7Bo7VarabTqeQf8B7CG9Dtdj8jvo2/R0rU+n9aYtzx/6hyR2FuGAbvP4ZhFItFcBOn 02l48GBA4B5ws9kk9iDBJOCFEPgWPh8cHKTTaWSI9m9lNU0rFosAnVQqFaknQPUC2JRdDxAoEH4ESNJk MvlArYNfmb1DDod/aecodCEE35mRcdYd13X9lEpA7kQikf3vNZBjVMI97ToBnhBHMNXrdYgDSfT+YAns dDqr1QqRG3RfykEIIaD0TYsiVCL9jCO2bYPdTwiRSqX8OaZer0fTViKR4EsFbsofy12tVnSw3W6bpgnG i+Pj4wdWjtB14ITt0ldLp9PJZLLZbMJfyeVyNDUnEonj4+N+v4+SdxznDhPIvvgyL+46TyqVCqyySSaT REftt1arVa1W/fMjFHrPz89piglkQJKOALHr7077CSr8ag6TyYS/oMFgwLsiplQe5BA+v4o26+FwmM40 DAPZND/NIh61ZVmB3ka1WuVQYpRNISiYy+Ue7ujT8kweJ2/2arX66KOPJPQx2oZEDCeKXq1Wr1+/9quE Y4jhfrFvWS6Xk8kE+HEwQPg31pLKrvik/gi4KB6yJJPLLoQ4PT3dxXQihNB1PTCa5Z/larXaaDSCPhmK KrHJBvEoTRej0YjAs8DfvFVRHl8UDcMAW8H+CARZNBolzw8ZNP852WyWtG+EECgh0XX9+Pj45uaGvB94 G4TDI8vlcqh1oikFlEKxWGwXWcNyueSdmVTmxd2OsdlsYp8J8GzgRRBXxufLy8snT56Qq4phCEIUOh+C TfTfxWKBZI0fiY9CoT38e796e4ccjmKxKO16pUxYYNxY0qaSHA7KIAoh9vMKY6cibdSwFIVCITAaScVL fMo+Pj6ez+eYaMbjsed5+Xzetm3JQ69UKr1ez7/SX1xcUDSF0H/8LjAXALSFgxzNB1fs5OSk2WzSBMHH D8QwcdlCoYDlQaJERBU7/11eUyDN6cTcSuUbuq6D/3Sz2dCSMBqN+CDnpqpqo9FAVYgUhY5EIpKeC5+1 U6mUFD8wDAPBA8BU4Xv1ej00A7yEcLmAMvMHPAApl1qIh/O2ddSJRCJQeXI/q4/UMxHi4kdoMdA07fDw EBvxcDjcaDSAweSDBYJY3EMtl8uImpDnuusZBrJkFovFdDrNZ8xwOEw+33Q6PTs723N3x8fH2PSDvlb4 YNehUIg//8lksivbCDIVHpwA/Ss+U9SEG3mrvV5PVVU/m7UQAvwo0kFUyWJpXywW5+fngUFWIcRms3Ec B7t2PrrH4/EuhwNVUUIIoDRQQwH9evoKIPMocoGUTKfTQYkHToCKCt+cSDTNyWSyUqkMh8P9/i4ZbgEl SwiqvXz5kroEKVPCiKokHA6TApzwdSHQtSHew8N4o9EIOQgUGTWbTe43SI5OoEPgj9EKIYBzB+OZFEMi 1WXYeDymUfbmzRvODYr8Jnx6KTysKMrTp0/RvF1lkjwihbepqurz58/xpjipz+XlZaPR+OL4HO+Qw5FO pzVNGw6HpEUkdRdpSVgsFtKk7Adq8WRbt9vdTyldr9cNw0AcEuNzPB6DjA8OOyoFqN9LG1A+h1qWlc/n pQZDC2CX+DWBVPbE91zXRddMp9PSFtDzPBBPnZ+fYzDEYjEwDwJ9dnR0BGEL+iKfF3RdPzw8lCpCA3Pn 5GaBXJkmMtu2G41GNBp9eBGveABJMMw0zWq1ikqKUqnE90+JREJaXPEZKnriLpyDXb7YgVeFbK/k4G63 W4C8dhloUvkRv9AMQl/YW/Ofgy4okZSrqnp8fDwYDMAKuitJjB/lax7tyz/44APyjQIZQRCs4g3jfwU1 i/hk94vFYoeHh/Sto6Ojfr8/n8+LxaKUj9jz0huNBnCO+JXJZMKp6uiB8P8Oh0ME2AI5/k3T5L9Ovprr un5vgxtgBPzudF0HciUQeCEx5QghwDcjnTabzcj1f/78Of8TNd7zPCjbUYzk9vZWmr4gR4dADuFVeeMD Q3SSQ+z3h/L5PGqb8V9N01KpFMgV/VczDIO7elLSTQqyDodDXddR28LfoDRvSBVqgabreqPR4DAgpIzx BBBu6XQ6oPMiNGjgLXieB2Z6FGnTcX+GS3p0BJhzHIcco/F4LBXKQTPcNM1d4m1CiEqlAh86kUhsNpub mxuw2WKoSoHJy8tL7uv8eu0dcjjE3Rq5S4kAdBFSWSMZIO7SV6S0t7hjPUfKk3oAjID9nE15NBrxjT50 4f0XX6/XvDdjPuVKY6iA3yUOx/OI0WhUQs5zc123Vqth5+H/K59HKNmEugxFUTBXIhHjeR7XOjIMg+Tu dF1HqBbSEtJToi0OShj4DD4cDsvlciqV4g7+Bx98sD+w/EDjQq/YdmD+JSUFvz08zo+dJeBgWDtpUpNO o4Wn9t4AACAASURBVM+O49ArgGYHzpeWXnQeBFE4KThmHIAoaZ+3XC6Jg4iiWfF4PJvNcoBRoEvKZ09w Buy5fdCGSiEu6nLZbBa1BlKuhNiQ3rx5I/nN/vdbKpUk1mqeTd9fuYNWTSYTVVX9gxo5PsR1OHusRPIB Tgue3S8Wi/x+IQq9pxn++woMkXL3t9PpUMyPgkau65I4JSUZA+n1lstlq9WqVCqBYZhAA/sW2lAsFgNb KIErl8vl0dFRICjYsizOHeCnvJNyQK1WC3EvYPxxMHAZhsfAuTulzJFfjejw8BCbz8ViwaMCi8UCe4w9 iEv0z3A4/PTpUwTzYrHY5eUluP8x4lKpFPdcLy8vUfgm9W2a4gCnewjME2FIIUSv1wMuGOsIfrdcLvtV sr8g9m45HFL2S7LpdHp9fU2cm7FYjBY2EF75uwLftmazWb4XEULMZrNnz55J0zexIMCkWYzvzHRdp9XF tm0g1MDDiI6lMKUxYvlEaz3Pg2sVj8chEzMejylCg8laCMHZ/WCWZXU6Hf+Qxr0H5jI7nU46nQZ9E/gH pRPAa067Q1C2X1xcYGqYzWYEMel0OhzH4Ee9LZdL0KjwIHm325Wwlp/R9vid9xoRveTzebDQIhkk7vwG lEQ5jiN1J9M0OVCGP4fFYoGTAwsfYJjpJB1wwV6ZpNLuui66ejweh1I2XofUz23bRm0LLxdaLBZXV1dI 50POZrFYAMqAaDzk1Hc9ouFwuGfLJTH5RqPRer0O+Qzat2Wz2UajIfU0CeQbSH4q2S5YJYVMYLZto1RV oviLRqPJZDIWi6E+OZvNOo5DD38PhpffHTk3yDLQnzzPg8aCtKtJJpNc+FTcoY7wmZKMuyh9B4PBw+tc hBCLxQLsLGJ3cBRYS8rKIfNydnbW7/cBOKUzZ7PZ9fU1hQxRc4snBiBCMpm8urry18T2ej1AVjVNk4Yk NnjohzgSj8ePj4/xMElDOxKJ8I0KkjvY6khgjvl8/vr1a0kxEcAp6jC0N4hEIphLScCv0+mgDFjTtLOz s8vLS7ihCPJVq9XAyK4QAskmfAaXLnGOBZ4vPgmL4ZMzX0e+ULQc75DDsd1uA8PdHLiAHSF6aigUajQa s9kM1eqBjicSougW0WjUL72xWq34KJ1MJoFwJwQDTNPk4TX/yg2URrfbbTabuVwuGo3atg0lFH6y53kv XrxAX+x2u4gZwAWmvot7DJyV/GES2nruCiQsl0tp0HID3xdfRUhzAYYy1+l0KsVd0um0YRi0+c5mswRf 4I10XRfT6APJCbhZloXQJRh4sPfq9/vU2l6v91boek3TOFV2IJshabRiicIHKc/qV+QRvkorbiQ1IoEn MN1ItdMwuEFv3ryhmwU1J+ITmNn5Vphz1FI6X/JjYPuRgHsyyn6QBCinptNpJBIhsKemaf7sIfcGwNop /SjpKPGv7GqJ53ngDJXY3sCyAG5AwXBgq9Wq1Wo1Go1nz56BbGPPus4rwyXnhuz6+toPIsbapjDhUz9Z HP6LqDuittIuC7Sk/OKRSKRWq9m2jVJ8PlSbzSaod3bdixBC1/WDgwMe0gANIGItNAXBgLaByszt7S1i utC7wX2l0+lAEg7kHyGLA9V1tNyvtAfVScdxer0e5lvTNA8ODur1OqbBTCaDOj4pVU3m78CRSKTRaICb NZlMSt6kNGcSckLXdYje4TgWmmg02mg0ms2mlHPh7/H6+hrDCn0vmUy22+3pdCoVwHNngi80tKJ1u1os Fhz2/rXYO+Rw9Hq9QLJ9KcaA5Q1LnaIo98JtdF0nj9XPxzKdTiHmjsl9147KcRwKxMF42oUsFApRmJ3v G6RMMA9T86EL0jN+Jur0sNum7SPkBvi9AKUhhEin0+CulmbtwAdLNplMpL2m5OVgqEiDnBg8k8mk4zgQ 4Qu8PoFebduWniGAnEQ6icJ9rAfFYnE0GnGgIlWR8YlgF02W33hkWyLV5gYUEX3etdcHFQqmy8PDQzgc fjo4uMvxeLxWq61WK+k5o2ZEmvFhcM4kHi3LsqbTKdWbSMhKaYHHghq4NnArlUqe50GFB7yTlPpBypzO lDDa4q4P8BrIXdDsXq/HB7LkbYBTcjQa8dy2n9ZWuiAaI23Q8ZVArggs4agy3XVZwcJU0pDn5jgOdwjK 5TLUPqXV6/r6ejabgWETL6JYLBKoCNki/04AvF483Os4jq7r9MZ5rYcQotVq7Xc4hBAQpqbHcnV1RVQ9 qCfnjCB46eDXF3fsrjTT7tfvhMQ0PZZAFzyTyXA4v7hLVWcyGerSnucFgq932WKxWCwWlNZZLBaoFwOa VQJyCiEuLy+B008kEnSc+hscPqm3x+PxVqsVj8fT6TS/r/F4THc9GAw0TaPXUSwWF4sFJjQMK9u2LWvx 4YfRP/3Tw+98J//qVfJf/+vL3/3dh9/oL9feIYdjz66Low0wBvDvnlqmQONDDkAkLADj8RhZA8MwaCRL yPlOp0OzDxdzIuNilZJJQxQ9Typ/FUGxNUVREFPhE7HjOMVi8eTkhCObyAMrlUqlUolX0EBMa9czicVi +6F2Qoj1ej2bzZLJJD090AyDyzyRSHie1263EWqStms8ct7pdEjLYLPZUAv7/T6KGwl3MpvNkNfglwLf +XK55MwH/uKCXUa86UKIZrO5v7CC7M2bN3gLUhwF+L5yuQwwP2JvuVxOcjiePHmSSqWw2EiwG3iNgZzi hUIBM6/kKUYiEZrpoKKyq9lE2bk/Pg++NXxOJpO0HV+v181mk4varNdrf7AtkUgQpBo2mUz8izSnUQk0 5CykUPaeu3Ndd5ejifVboiSB7QqwkcJWsVjMZrPU1E6n49dihPkLcVOplPQeu90uGgkSzNPTUyQO+DlS 2bwQAgUd0C7hQ4n/Yj6fh8Jt4O1QXa7ExFUsFqFBjf82m00I3wghTNMkh4PIi7mDuEs4EMg5z/MCIWWQ 7KEbhMuiaVqhUPAznklzlLQcNBoNZJ+32y3UBvxfv7i4gL/Ly+aXyyUcu3q9LmGPbm5uarVaoVDQdR2K fbZtX15eooX5fJ46fC6XU1UVSwPk1riyjDS9840ouJRwO9/+9sWf/Vnj+9+Pv3xZCoW2X/3q6JvfvPnD P9w+evQFYh19JxyO9Xq9WCySySR1TWm+gBSyP4Ap1TLtMc/z3rx5w3d7UiQTc6umaZB32r9ISz3s5OQk EolAvPjellDYWVJ+op3lZrNBpR+fYvgvDofDfD4vReCln+ZX3nMjqGrZ9VcaVAhRgE4R4FPyISDhy6Om QHRCfgkOPr+moii4canByD3x6WA4HPpXYpwwmUzy+TyK+HdF3ZGcxg+hPIdPoHu8W2n7gic5nU79cB9x twxcXV1R53zy5AkU1MRdHpraw7/IY+b8USQSicPDQ/zQYDDgAZ5SqSTdLIqPbm9vaY6TZMxQC7PrTsnb IOJzgv5xUZtOpyOJFcNQ8yXlCwKRqrvawHNA/X4/Ho/Ta5IAE9xc1+Wa0tJ1YIjN8AebyWSkWmsYWP/x udvtSq/Ytu1AhwPxCXo7KKCQnpLkLvt3I4BVSQctyxoMBoVCwTAMGlnlcll6sFwimONqKQAmhLi6upJI SqSX9fLlS/Bf8ZkQavXRaJRLL/GOl81mx+MxpBxzuVwmk3Fd188pIIQIhULALUE0qlqt7kFcSpFsyTPr 9/soWVIUpVKpYPaT9oRCiMVioWkaXykGgwExuKC0hP40Ho9t267VakhJT6dTyg47jnNwcPDee+8tl0uU d/EdZrvdRo4p0OvlXciyrMFA+/73M3/2Z6Uf/9j8W3+r/3f/bvuf//OPDw8XeBKlUuNzkff6vOwL53B8 Lmqr3DqdDoXOALGMx+OlUmkymSyXS9d1k8lkLpf7q7/6q8/SHsnbED66SRSLu65L2CLJjo+PEVIDIpL/ KZPJoJPtmdxhjUYDUTtO+QybzWbb7Xa1WtFeAS4IfAs+hIrFIsQP+dcluot7Ew1QY9mVQoJJERfHcXB+ tVrlqQEpR0u61RcXFy9fvkyn04REee+997B19v8WGI1QsEcH9zhwQPBQw87Pz8E/CDCaoiivXr3iDfOX MOzpOV//+tc//PBDf5Vs4FdQR03/XSwW1NMsywKrLL4osSn7HehUKnVycgJfLRwOc2S+EOL4+FgIQRVM oI4A1/vFxQVQe4eHh9TI+Xzu5xqCgekEyeZut0txlF6vV6lU4FbSyQg7JxIJ+ulUKnV2dkZLAp950+l0 IpFAMTa1JJvN8oQgdV1pvNDxR48eZbNZsPjn83kp8iEt0pVK5eDgAP2Nv3Gp84C1nf6LSk7HcaSHLHmi e/oJvElaogaDwdnZWTgcpseCSQyfMb3gd7HO+bEd0sWFEE+fPqXKdv85X//61+fzuaZp/PlIKCvIINB/ a7WadML19TXUiPhBFM0hX2ZZViqVokzHer3GV8QdV/3BwcEuqtnDw8N4PO7Pi11cXPjPn81mnHZT6hsA y7/33nvizimHxIw0+WSzWTC+U/gBHDz4HA6HpUibbduvX7/+yle+ouu6BGp++vSpYHgmf+U22GWku5jP 1clEe/Uq9ZOfKD/8Yegv/9LsdsPPn0/+9t/u/at/9fNUSp5v909Ev3r7wjkc96aE39Z4og7hL2Tv8C7B LYOJ2/9d/Okhv7KLgRtWKBSgj7oL64DY483NDQ88Ykg0Go3VaoUR6I8lxGIx0HRiaojH41C1tm3bv9i3 Wi2+LiLe7rounxORleThDVD1rVarTqeD5EitVgMhBAKh0WhUwnyIuxRpKBTKZrO4a6lIUuyOxu+pJBJC uK5rWRZtmsfjcSaTQXggl8sFhkMPDw9Rs5NOp23b5iF67D/EHe06LTacLbjZbOL4eDz+2c9+tqusmluh UNjTcyTkBExRlMCvSAub5NngReOLyL+4rgsaFQogUV+aTqcfffQR1l08E7oO5BjEXZwDqIt+vw8B8XK5 TNlraqQfrEfmOI5hGIvFQgqiiDtGmWQySY86mUzST0NiPh6PU/m69Kz6/X44HNY0TdM0akk0GgWNSjgc 3u/jwiaTSavVwtp/c3MjxZak95tOpxeLxZs3b/Z3y5cvX4InRlEU27aReeG5Wpg0A4RCofl8jiokP+hH 8k4QSKPm8Y6B6wAjKR3HpEF83kKIWCwGBiCihdh1U6qqYriJOySBfwqSOu17770nxYe63W4qleLRFExo 4EF2HAcF88vlMhQKSY4CGFOkwBu6qK7riCJLfhVcB/+9LBaLDz/8EBpVgdP1dDr96U9/yqUH/R4bVgpp QzidTkkd8OjoqNPpSN7M69evURBLRygNSkbyEet1aDDQtlsxHIpXr3L9frTd1luteKejtVqxySRSKLiV inj6dPP1r6/+6I9WhcLNYrETQrdarT73JZXsU5ARfOEcjl+qgc6Z1+yBI69er+dyOd5NNU0D5QP+C2UN QMZor49EL4o897BpQQpyf8MgvcP78XK59GdzQqHQ48ePe73ecrnEYNA0DdS25OaTwnLg7fthHFJ3BPs4 L/eFauVmsyEoBrKzjx8/Ho/HQEvN53O+Kui6TrtJhDqwEXcch0PZh8Ph0dFRt9uVoilgGLu9vaVxS6+s Xq/DTeGzJOLbeHr+krNCoUCZ5lAoBEFqai1PjVer1Wg0CspXnpyWBET8D5YM2h+oodh1jp8/CoK9kuQH kg7FYrFUKhE4LpPJcCUdDuvxPG+z2VQqFVCBYTkvFouJRIKHi+hRX11dZTIZGgioSUGnwpaIQ039YCbw Uu+6R6AEhBD+EEiz2dR1HS4Rwo18B+Z/fdKk3+12/USxCLnncjkJKkgmObtSpdirV68ajQZeGeRMaXUs lUqKouzyNojEk25NeiZ7ym7n8zkWIZA3iE/y9EOKha9bBwcHkh4yf63I5ftRF+QfbLfbfD6PfGWv17sX 2iwZF56khxlI8hsOh/0ZKLQfEa9QKDQcDl3XXa/XtGfY89MvX7588uSJpPYCCPn19TVJSpFT4mcqIx99 Op1y5gJ/xgSC2AQSAqGFVF4Xj8e5V4QcE6kDKopycnIiUZTOZrOrq6vj4+P1eo3Z1b8idDqNb33L/fa3 U7e3eiLhKso2lfIMI5vLrcvl5YsXk9///U0uN/vSl7Tj4yoGOMSMYjGz11vv8oZ3leD+uuw33+E4Ozuj 9BjGibRvgEfMe55hGBK5JMEnoXkGXltpXUcsV9O0UqlkGIZlWbPZDCRXdA6C3ugcBCyHTafTarVKY88P QNtsNqFQSNM0zEqA7i+Xy/F4zMlr+TUBg+LuvH+9lGRCcY/1ej0ajS4Wi0QigSlJKplBYVsqlbq5ubm6 upK6dTKZpIc8n8+pyCUSiRwfH5Oe5Hw+32w2Z2dnlmUhwyWEUBRlPp/ncrmTkxNgPDE+JVcpmUzSRMAn zUwmA4Q/rpZIJFB6Svs5acfc6XSItm+5XKJeTnpEyL+K+0zTNIR/peObzQZZDHq8Unjj4OBASuRTf+t2 u+CBRgqg3++7rlsul/P5PAhGcRrPlB0dHYGtBP8NBBbAOGwtFAohOERIQN6RRqOR5HBQ1IdbsVjEPnU/ 0rbb7R4dHe0SI7VtezqdRqNRkgqTkEDNZpPjRskxymQyu4op0un0LqY7ccf8iAAA6lkODg5AwaSqKnH2 kxF6IxqN8j89nKUe2SvxyZqL0WhUKBRQvS/9Isju6L8gxpaueW++1TRNJG3p4ngRD2kwb896vX7x4oXY LZddLpe5FFE4HO71euBxF0JcXl4+ZDRxQ3ETHhRiG0KI4XBIs+XFxQVtz3g4BMOf+/d80sacL7lHfCGA PAJ3N9FjJT+S385kMjk8PCyXy8lkkgvnWpa1Wq14pBC2Xiv/7b9F/+RP9PPz8D/4B/a//JcfnpzM4/Hg jhSPx0Mh5/LyEsSygeegug3cOfl8/gtFwiHeBYejUqlEo1EkkqVwNJl0HEl6fA58r4Ehu0gkwmMSxF3B DeIUCI1CNpMGA4rRXdddLBaoMaNvwZeHW03FZhJ0nxwOvl7CO5FktBB4RxQXCezHjx/zaQizNtLq9C0p eob/drtdDDbuw6VSKUTj6b6oMEEiPaMv4reWyyVK7cGNcXh4iPfieZ6U8JLK9qRoRzabBWAePAqUU0PO WHrXw+Fws9lUq1UKvVSrVWndAjciFINpy449Ol/Gzs7O/FMw5RRUVY3FYmiY/5xyuTwej9frNegi+F/h 6hFt9nQ63W630johseDzP02n03w+78/glMtlXdefP3+OpAwVT15dXb333nvX19d8jZE2spIUCyI0iUTC f/t+2V5xByfCrUWjUQm8TM4WKKeEEIlEQroOzeOSsM4udsX1ek0EnYFGHWwwGEAUhphG/RkWWuf2V4PD QIeKLAaGMMd+Sk8MSBH/RabT6cXFBdbFwMKWPSsQWbfb3R+X2mN8R0GO4Gq1Ag4mnU7ziCCoyYCmsizL dd3JZLJarc7OzjabzX5vIzA6omkahSWQEDFNU7pfis+Fw2GqXAManWOb/FwDy+WSZ75oIgVxLYLHmqa5 rlsoFIjimf86vyaBUTRNQ8f+wQ8yf/qn5e9/P7teh0xzW60KRRGep8Tj28lEef06fHzs/tN/av+jf7TS 9W2nE+12d76g/QXDMJQv4HM4HP6iKdT/5jscQojAYCM3eAZStTTKSnHQH3zzW2AUHbM5rybgAgrpdBrS w+FwuFwub7db27ZRIEpMgqvV6ubmhodtQYzDB8l6vf7oo4+ABOThvtFoBM5BPowBQeVrKriqwA+B/TS/ BRBvRKPRJ0+eIAGPIi7xyZU+mUwmEgn8HEo6gX4lz+n29ta/7HEHXFLuHQwGWDtx/OjoCPUgnudJsSVq xsXFBfAo2Ww2l8tJyw8ovPD8+dBFPT39N5B1wDRN0zQhXoCHD1kc7nBcXV3V63Ue4YDTg8+Izc5msydP nvgdVvhGaOTJyYlfLpy7dFiw+TwiOWQSEQvk1/v9PhbIVCpVLBbhMuJpSA9qMBjwd5FMJqVKVCmHjfEV iE2DbO96vXZdl9PinZ+f0ysol8uLxQLiFBL+XwiBODzftoKOAp93bSF4VaG448yWBGl3mW3b5NxIkALO dP5AI5GdVCq12Wwo2gdLJBJUTwS63l3XofErNcnPTA9SFlVVV6sVjwz5Rx/872azCalb7Hn40KY5LZ/P IwOSSqVoj05Btel06pcXaLfbfFVGB5bifxiJAALDKVkul+l0Op1OI+SJb0mEivCZdhUZ+cM/lmXt4l2F 8XlssVhw/5uHoLbbLRJbvBR/sVBdV3ieOZ/HajU3kdA8z1utQt/7Xu/P/7z43/97ZTpV/+AP2v/m3/w4 kXBXq0Q02livvUjEXa0iqZQ4OXEPD/+6DyOFF7ihfYhJOvXT6fT29ha6tXs47n6V9pvvcFxfX+/Z2QgW Q9Y0zbZtCtlxXMK93gYHWpNxImpoJfu/mM/niaig2+1iNoFkPHaxqKHlX7EsSxqBOCEQXsDFY9PpNOoO /KcpisLFRMh4rD6bzUoi9Zgm8Hm9/kUeERkEEPvzmLl/Z6OqKpe7k/Iy/HZmsxlviWT4Iq8IGA6H/l0g ADeBKhIPWUWGwyEgvWAtBK9DvV6/vb3FsjedTvv9/r28HaFQ6NmzZ91ul1bEXC7Hb63b7dbrdZTjZzIZ 3F0ymSTnBpF8Hj/L5XK07c5kMqB1ogc+nU7D4TBNuNPpVGqktJxLT4PXwZI1Gg2ONZ7P58jIcM2L1WoF Tic0lTO78C5NY2S1Wkk8e0RzpKoqRCtIkIgehUSaCcMkKzltezh1yCPfMy8XCoVSqeQ4zlutB3wZ9g89 qBMQDsDPErsHM4Qq0HQ6La2vi8ViPp9LkmCSaZpWqVSgn44hDGKrTqeDYBtW+kwmU6vVoCpSq9X48Jci JeC2p/+Sao9077hfLOdSIetsNsPCPx6PNU2rVqu3t7eB5eXoJKlUiuOO6Tr+EM5bCYtwnnjJJpNJOp2O xVIffBD78z//+n/9r+7r1/HZLCKESCbdTMZtt1XH+YUbFI9nvvrV0T/+x1d/5+90VfUX+wFN88rlPgZO Mpk8ODgI5Mihp1er1YbD4b3JMljgQAiUBf012m++w7Hf2xAshgaOYdu2MXgCdxvgO+p0OjQScrkckhTS mdvtVmKL26WITSYtsYKt4mS7eH8fYtDTuvc0EsGCACwdHw6HUqU7/ys1nqbj4XB4dnZGboREp+HneYTT 1uv1kslkqVQCYTl9d5cuRi6Xw/Lpr7OXWMLK5XJgIh+iOfQnGpaO49zc3EBBl1MJEWuhZVl8ZynutkqL xWK9XieTSdCl81kAB4UQ1WoVu0biQSKbzWY3NzcSigilep1OZ7VardfrN2/eEHAHUGhksgzDwCuWymKl CRe5jOl0Cn0QsIaPRqNwOIyEAnVdiM36H1oqlQoUK8Hrg1AcaeHm8/lKpXIvpt2yrIODA4kRZ7lcWpYV jUZJtIKboigHBweonnBdl0Jf2WyWBzNIfODp06ck4oOvY9kDtZoQwjTNXWs8XNhIJPLs2TOIp3Bcs9/Q YMmDgbBqIpGgcRGogQ4DX8V6vZbwXuIuVY/P/skHDgckgvGOpPAGCRH7Ya181hqNRplMJjB2Jc1L975c wsOaphkIAZGgZs1mU3K/EANGfbu44wRDaRJ3oO+tAqXYcKejf+972dEoWix65fK00bDSaWc+ny+X4Vev jNevE81m/PZWHwy04TC6WoUSic16rU6n4UzG/d3fdf/e37t68mRWqSzD4S1q8VxXsSxVUbaNRnE4DIil 5XI5ctMBUPXvTxRFaTQa4XAYXSWVSlEfi8fjaHw4HPZX9EAOfVdfAg5m/5P5FdhvvsNxrzmOs1gsJpNJ OBwmqSGEnf0nt1qt09NTvtCiDs3PXPQpMmfcZ8/lcjyfDcOGYw+omxe/+e0hFYPz+ZyW3jdv3khamtJN 3Rv4+fjjj8mxgK+GIUSquVK+CaCq8XjcarUkJFfg84zH46QsgK0wfBQsvYZhTCYTELfHYjHoQvkvslwu eY5mNpv1+31wveOJUU0QGYK0/p0QlM1pzD958oRPo4Zh8Ocp6blzQ0RHCvmkUinefgB3kE3DEeS2ERMO vCwZZ6EFRDoajdLcF41GsaaqqrpfbSTwuESyJ4To9/t4TfcKqoH+hKoPBENmSLyW/Ct0HOkb8HzwtwNd YmJH5c8BoA0UzuCgpmmNRgOk+KqqIg/FC5eg9yGEOD4+xl8DeU4dx4FMD43KXq9H7jgKK2azWeAK4XlK vx+NxdxYzFHVX6zWw+FwMpnAHyJvA9FQ6eu0byahFqmqRdyl4TjxdqB1Oh3LsiQJD17trGkaVGRBYoZz YrEYbTDS6TQPZAohLMvabDaGYXBXm2fBgLjkXzFN0+9uBgZloeA6HA4R5JPcx+VS/5//0/z448x3v5tq t/WvfGVcqdivX0dbrfrFRVRVt4qyXa3Ctdri7Gxeqy1+//ftbHYUi4113Z3PVU1zU6lNJrNOp9PgFOAP MxzegglD07aPHj3CBKIoSjgcBi0YQLvUGP8IIlJangMCBgVL0mQyCaQkqdfrpmkahrHZbMB0nk6neW70 C4Ie/c13OJ49e/bBBx/wIxIADVQz0rem0ykWM/9g9o/PyWQSqNbNc8Z7VBvIUqnU8fHxdDpFbYu/VeiC kFnyT9zQ2kbRLI4AkUfu0a6sJzcprgMxDqyafqfqIbKTNzc3kBsAToWO84WZEyH4BTWEENPplFdbgFtd VVVU+uGgoijPnz+/uLgADzSp0+GvwH9kMpnA4SolrfwvXXraqqoCecMPxmKxUCi0B7+5x8Pwmx+nKVFI 4VLSDtt/d6DJkmKtnAaXOzcQGdY0jdbUPWaaZiBqstPpKIoSCE6sVCrIswReEEyg4q4+GXgdrjsDve/V agX6Gf8VIGzEnTAy0GtGIhGAG/ifAKAGVx4APfl83jCM4XC4WCzA6BWLxRRFjjDqaQAAIABJREFUofUA MiiEzyABd8lGoxFKZ/1kdOPxeLPZ/Pznt9/5Tvn999Mff5y8ukrEYm4sttlulX4/qqrb1SqsKNtcbh0K hWw7rOvlZNJNJlexmNC0SCZjO47T7xum+axUsksl+9Ej6/R0puthUGZx/6xSqSAkQ0cikch2u90FgoGp qorIiiThwd8ggk/EvYGgJiJPOF+qReLeJB/4QPdPJpPFYiFNfUhmSW1DBwtMEBPoHmQHYKZZrcx//++n //E/Hh4fWy9eTP7Fv3j15S+PI5G/XvI9T5nNEquVY5qOpnm6rh8eHmqa1u/Pb2/lrYW06+NTVjKZzGQy nJgOtlqtpJWILwrr9ZoYhKULbjab58+fe54nQbm53dzcgCEQfdu2baBtMNIzmcz+FNuvzH7zHQ7MMldX V+gi+XweKOvRaARlkF2o6Xa7HRiDchxHQh2KHWt5LpczDAMRUexy7g177JKOJBuNRuBwdF2XOiWc38Fg MBqNuIqmhDd8COUcX0STySSEDf1gN9hDKLCEEJeXl4hd0/Pcbrd8Yb68vDw4OAAxw674ze3tLXgLwHIR +CRDoVDgMkkbsmQyeXp6SqF+cZ+QOpm0fBIyhgPgl8ulRALxEA8PdnR0xHE5foYDqTiTNnz3/gT8PKzc oVAoGo2CKcTfTp4E8WMA/ZZMJuv1eq/XC4VC5XKZS+y22+1AZ9RfEkwWi8VoH4xCg81mI/l5VKsFPPKu HOWuIAq2oRKwTggBb4D3BHhdt7e343F0uQyXy5EvfznOfb5OpwMJtDdvwm/ehCaTo+Uy47r9QsEuFlfh 8F9HGefzOV88hsPoz39uOo4yn+d+9KPQX/zF8bNn0698ZfyNb3QbjeVyqSyXYUURhcIqnV4LIabTSK+n Kco2FvPW65BlqZOJul6Ht9twt6uGQuLLX3Ymk0ino//FX+S/9a2jySR6djY7OZkXi6uvfU159Ci8Xit3 80FluVQSiV467eRyuUgkQqB4vyUSiUwmwzOGeDi2bUuSe6qq8rHc7/cRj6HMLLhk8FfXdfkAB9c7itS2 2y2CzVJLisUiKvvwX+i208pKKJPA173dKstl4zvfif6X/6L95V+qv/3boX/7b3/y7FnwhB8KbU1zHovF lkvPNE24aDxP9xCLx+Ocz5TP+VIY7PT0FPROsVgsn88jkhR4TcuyXr9+fe80JYXKer0e+OMDkSK/Lvui tOOXagAnFgqFVqvV7/f7/X65XCbKBB5/lpgBA0ejf1fnR9VRTaZ0JklV0REMy1gspus6YmL0p3w+H7gd R28GcATeTD6f53IbiCgghYxJFsngYrG42Wxub2/hMwERza/Mlcrz+TwmdCCYVFXNZrPS+dKisiuhQ3Ih VNMr2WKxaDab8Xh8D1kCWmIYBjav6XS6Vqs9ZEXfbrcUZ5rP55ZlnZ2ddTod5IPj8TjfDXP5vUAD5GI/ 6SQMlPn8jvaIGhiG8eLFC9d1ERsAPp+nVKToK9FA7cmgwaCUe3R0dHFxYVmWbdu3t7eIYcCLKhaLCJbw pna73UKhMBqNkAKTtkdYGyKRSCaToV2aFLrg44h6tQR54cVf4CvDZwok8M0x6rnwebFQ/+//jUwmersd 6vdDhrHNZr3f+q1No+EZhnd5qY3HcdNcTybR9Tpimstcbm2aJrorlYW77nY+T7TbW8OYmKZDE/pqFf5f /8v78Y/N//2/65eXcV33VqtQNKqY5lqI/69SWWYy69ksYtuJZjO6XCqnp24i4cznxmSS7Xb19Vqp1Zam 6UQi2/Vase3ofK4YxkZVvckk2utpZ2ezREJ59Cjy7Fnzn/2z15WKLe6iX/5+lUo5mYy3Pw5BlslkXr1a fPBB6vw80WrF/sN/iA4GeiTiapoHZrzp9PT6+nE4LIpF57d/e35ykkqlYtfXsZcvU72eNhhEx+OoECKZ dE5OlLMzL5vVyuVptbqMxzfxeOz168Fi8YuhBIBUKpUqlUo8foMXygu4ut0u4AXC5x9TWOjw8BAUyfyv wC9zQKgQot1u07dcV/noo+VkYiWTkVYrfn4eefMmPBwqo5FydRW6vd1OJmo06v6Nv7H5h/9w9Sd/MplM LqQnLNUn4sjp6Sn9N/DJ79mlAF2xWq2oyA4AJuHLaJNzP5lMNpvN/lf8kE2RZMvlEjtPx3ECtYp+LfZO OByw4XBILmS73W6326gcQWadajivr68fiAqGNRoNfyCk3+8H4qJJqgq8kJZlYViic4xGo6OjI13XVVUF LfQuBL64S6AIIcAUxE8bj8ecQ5DjBihzb1lWKBQCTmW73YJ2XdIZUVXVtm0aGJZl8Y4LNVfeML74ZTKZ 9Xrt30o2m01Qr0rpqvl8fu8qHo1GKQwwHo8Rutz/FQA/+RHbtvP5POmk+LUtyOfYRQkgTQ1SBaYQolar xeNxTdMkL2G/ihIQA1yIEsJX+Ax0CD7zRJIUtZI05KgbgJAAB8H1QrcD0kbJceHITWTcKR1GQq/ijtqE WhhYdAqWDuHzjaQwIZRZkCihhafbXS+XxngsbDs8HEZevqze3MSbzdjVVaLRWD97JqpVr1bzLEv58EP1 P/0n7fo6PJspuVzGcdzpNGIYjmEovV5YVb1qdZlIbAxDn89VIbKrlXJxEdpuRTq9Hg6jqZRjGJtweDuf q71etFZb/87vWH/0R+df/epI0zzTzLx5I3q9jesqNzfx2Uw1jM3z56XDQ/vx4004LLhA0mgUvb6Oz+eq 44TC4W21GotGV52O4zhKKuU8emTpuvulL31JiPX77/914kACnXB7iLcRiUSOjo40TRuNfvp7v9f7vd8L wIVguhuNpj/+cbvd1n/4w/QPf5iezSKlkv03/+agWLTz+VU67SiKmE7V9frw9evI++9Hvv3teqcTs6yw ZalCCMN49N570z/4g9tvflOlrBYADbj3drv2P/5H7Pw80uudHR9bT5/OHj2abzYbTdNGI+XNG/Xly7PJ ZCiEYtvRUGij624ms57Pl9vtdDSK9/taqxVznJBpOobhpNPrw8M3L16Et9vY1VXo+jr8ox+Zt7epfl/7 8MPU1VU8EvEUZbteh6pV++nT0NnZttFwv/KVraZ1NG1gmptcbpVKpTDeDaN+c3PDnzMqASkYI3yMiwgS +Dnm8QF1xfyvgFlwrFW/33ccx/O8Pbujfr9fq9XuFah6uPH6psBd66/L3hWHA1pK0sHRaFQsFoF1ymQy 6BBgoPJfIdCr5WkCbntyDSBSxAbO3wWvr6/vnV+kkCa50txev34dqD7KBxvWbC6qzg3N4C4FFNLRZtu2 A1eXaDQKhqtKpRIoa4JrIqtaq9UChdYCLZ/PZzKZXXxfgTabzVqtlvQu4Agi6gudSf5XxJnA4ylJQog7 LGooFOJxIH8AHw8WsBUO/kIBrT/OzI1v8iAXB1wFgJxgUAXNvK7r+Xw+HA6T5pnwLU60xu+iDFqtVpQm 4L6LdJ3xeEwOR7/fpw7D6TdUVX3+/DkcWZ5aAmu43/OLxWJSq8bjxf/5P7cvX8a/+93yBx88fv066Tih ZHKTTG503TVN5+Rk9rWvDf/+37efPp0mEpt0Ol2v1xVFkQKKpmkiyKdpWjQavbq6/ugju92OTaeqrscf PcqFQkKIdTLZyedXkUik0xk1m7H5XNX1xHY7ffIkcnJSiEQizaY7HnupVKpaLVvWx5nMRgjx7Nk0FArF YjHHGa7X61YrLQGrazW1Wl0tl79IHDx+/DgSMa6urvhy4s+u7iqLe6Cpqop42NnZ2fX1deCGGAxXo1E/ l1vlcqvnz3euQ+n0WogPT0/FH/7hX/uvhUKh2+03m7HvfS/7rW8d/bt/F/+d39k8fuymUtt2O/nhhwcf fBCxbeXszH32zC0UHNPc4MzZLFIseo4TGgxC1apbrSYcpxQOb1V1sVp5y2V4ONQWi8h0GjZNp1BYVavL WEwZjULTqTocRvt9TVGE6yr5vHd46BUKXjI5r9UW3/hG5+xszuXKwBKLzy9fduh50nwOt4wSSYlEAmU4 EGcBgF2K2kr+hGRw4sHimM1m0eskrJVgS75UN0em6/r+2WxPTKVer0O2mo5I/KpfhOIUst98h2M6nf7o Rz8SQYVb4L7Eao2tLRQZpCUkk8kUi8VIJHJzc8MTkIZhSLwU/E+7Kr/5FO/3gR6ymwHZAyYsIqD0m+SX cJwgLBQKSVUw3AAo27VQ7fKooLm1WCzAlLXLuabSg0wms9ls/G3jlkwma7Uawv68thZFoaAyJPGO7XYL HoJwOLwr+QpyepAf0DiHQkdg4FcIUalUHMehtRaciUiv+O/Rsqzb21tsqkDBROlVHmc2DMPP7c1XHQgv 0eJdKBSoSAHW6XT2066fn5+jAuUhOaD9anPvv/++YRiVSoXDWaTuOhgM/DqItm3P53PJ2xBC5PP5Viv2 n/+z8rOfmbe3McTz4/FNo2H91m9N/sk/uTw7m2Wza46HkAxyWaZpShyjQPKDLkUIsd165bJdLttCCMMw jo5S2+0W3jCe3MlJ4/jYu1tscvQ0SCADXHl045zW00+eoet6pVIZjUagUUGP4uJE4q6eiBxusGJg4Oy6 WckA+aQmQR6Wfj2QCwAeifTKTk5OBKPSl4xOTiaTgL4pSrdeX3zzmzfJ5Je++13t/Dw8HCoHB943vrF5 8WJxcOAiimfb9scf/6INg4GWSp3FYpGTkw3HTJ+fn9NjTKVSCHmS0Pzl5TmemGWpBwcnhYIWjW7RpE5n iFGQShVJKQK2XC7b7bak6ManWQhg4TPCfuAygd8MJUtUkELxwO89BD4lsJikUqlArBsZfssPU1NVNXCX W6vVADrWdV2iVyZLJBLS4OLhzEQigdKVLwiM4wvRiF+qUY/xv1HHcaizrlYryFnV63VJ8BBQOyFEoVAA xQKO846FkUkxcwh5gxESUW5OxPQZDdpLxWJxz2CQ+I+59hIZyBJ2XWE+n19fX0suEa0l92o+NZvNXC5H i7FfNhO22WwQ1SRcp6ZpyWSSx2yIUVjcjUDHcVKplK7rpBkrhHjx4sXNzQ0HhP4/9r4sVpLsLPNkRkRm RGbkvufNvHn3Wtttu2kbYwYDspHByIgxhqGRjSyQPNZYwvKDhYbV2EjAA6aFkGAekHgYj4TghZGM3bKF 8TLdgD22u91LbV1197y571ts8/C5jk+fWG7W7aquntvxPZTqRkZGnog4y3/+5fs8MJlMOA+NpmmdTgcO DBxhybC5oQ7VFfzfkcRwMBg0Gg0QU7oNdRRwEka2l+XUR5NY36y9ftLuobEDZR3e53gjGAxiYQPdhb3b A4PBgE2Lq9flW7fURkPO56OWdfLmN4uqqhNCLIvs7ma+972NL31J2d8PvvOdg8cfr5fL00xmnsstWBUJ VVXT6QJ9AsViEXs1lroNDXPsWv1+P5vNgoiTTW8itlIskHMTJjclEAiwPbDT6VSr1d3dXchlebODZ7PZ YDCYyWQ0TaNUv8lkcjQa0ZVmb29vdXUVe2Jd12E9sNZGMBjMZrMwndmL49clSeJK7agJhSr0SqUCITHW GtY0LRQKsTpHyHv1TgOqVqvgIOZGVj4//i//5YcPEAwx7XYEVO6yLNPQ5JUrqVwuQAj/0FizPhAIID+d HllZWanX64ZhrK1l8vkEnakEQaChZPLKUFQ6naZ9g70p0zRbrRbykOxDdTgc4u2zaoXD4RA6c/cUXoe0 MjYGOIKnTTvMcDjMZDJQO8KEg+MgS6TXUVV1bW2Nk6WNx+OOBod3nTmMj6Ojo52dHTsX4muP829weHDM 2bd93W53ZWVFEAR2gcSsulgsOJJKjNVut0vJ4FguTmzxQYoAqonnn39++WYnEgk2Z7tcLtfrddopp9Op t+lN9Q7Qfru1QQhpNptudgBw585ifz/aboenU6FSmVy+PKAWlSiK29vbzWZzPB47XoGj/Xb7FXochEuG YaTTaUVRdF3HoI3FYqyrnyWa1HWdC0B4B2joUpHL5Rw9NMgjYYngONkwRyAJcTgcctc8OTkBDya7KrM5 FrgvVr7SDre17eZN9bvfTdXr8mLxgymp0wm126FQyEokFpub48ce61y50g8E+MU1HA4vY38gKoGBwFbr cV4QGILD4XA6nS4WC10PXrsW+8Y3st/4Rq7dDm1tjapV89at0J07q5/5zJXV1UkuN792LSYIwZ/7Of0P /3C8vX3Q77um6I5Go7W1te3t7dFoJMsyrd5iPWd4WbFYzJHNAsNHVdWdnR2w+cmyrOs6dzK2/ghUYU7g WNfI3ZjFYrGQJMnD4Nja2sK0zpbmDofDWq1WrVbZrS2cHHQzw/0cZJU4T9vVq1fD4TDtZtFo1L5Xhhc2 k8mEQiHOmQEtxnw+j6JZbOInk4mHwaEoir04HxiNRujALJ8ytliIFebzeWSdu+34aeYHcWINgFFFCIHO A/cp3e5ns9mdnR1wqbnlSCHLbbFYFAoFuw8pHA5rmmYnkDVN041pZmNjA4YO9xXKQXLlyhVc0+5qarfb yWQSMoeU15ENl4BJEpF99tWEQqHV1VWIxLJDeBlBH/wuF/t7KDj/Bodj3uWpYBdIDHu7w3k8HqNGix6B EphlWaqqptPp4+Nj2hsuXLjgKGTliGKxmEwmRVE0DOPo6Kjf7x8dHd0Tk9je3h5SC93mYnqb2NPPZtru bmx3t/Tss8ILL5jNZrjZDBNCKpVpPj+TZfMf/3H15ER+97sX73ynXiwaa2vmxoZSrVZ1XeeKyynuSSaK zvXdbndnZ6daraZSKcuyPMSHuOnY0YZg6yDgTUFOrls5DL0mCjgd52LKAeUoR8fi5OSk3W6zcxwWTtM0 IUs7mwWefXb+/PPZW7fU55+PHx5GEolFKqVls/Pt7eGlS4PV1Ukw+IM2aFrw5Zejzz+f+D//J3vjRuxH f7RdLk9DIYMQEggELl8epNNzwwj0esr+fu7Tny7Jsvkbv/HyT/7kK+7U/jCRwgw1S8ySaOHu7i4YKWaz ha4HRZGffI+OlIODkK73n3lGeeaZ8nwuzOfBTGbx+OPt3/mdvfe9LyGKZigU0vXhiy++OBxKN26ojUb4 v//32dvfHg4GiWmazz9/Ckc4du1gaED3mEwmKIiFogq8R9FodHNzs9/vQ/aPfp3uCC9dukSXtHq9zq3T 6Khsbsru7i5r5maz2Xq9jmlkOp3aq+Ipbt68CSIKdjMzGAzg02ZNJTsjC7Vuo9GofdsKTjM4YPCaisUi AgScEemWfz0ajaAOiNRv0zSvX7+OiY7LNaYt9Njfw0obDodctSdLnO89ZbGNnEwmjqkG7Xb7ueeeSyQS qVSKnoBSO/y/1WqBKwh/OgYs6KVQD8IeTKVSw+HQsTBtOp06WjA0/gLeT3YvR/M/IOvtFlA2TdORbQjI 5XJu6aXYxJJXqlfSOQoF8KlUipW3pVi+RP+B4vwbHMtYG3S8VSqVxWKBdY7jaLP7o4LBoP3iODIcDjn3 V7/fz+VymqY5khJyQBENyPZprz21AJID5iwPa6PXCz39dOa55xI3byZ2d+VYTL96dfjII/Nf//VFONzM 52fp9ILOGOVy+fBQ/NrXct/+dvjwMLS3J9TrwbU1Y2vLiEa3w2GTEEtV9ZWV2aVLfST8z2ZBQkggQOBL dwSGKBvbIoTs7e3NZjMEubk5C9wMrMiIBzY2Njjy6Tt37uzs7FA6Bw6pVArbaMcIFHaEhmGAA4olLnMD Mlrw/+NjZTgUCSGhULnbFVut4Ne+Jj39tBSPJ8vl8cbG6F3vaq6uTvp9sdcLNRry17+e+x//Y1PTgvn8 LBKxxmPl8DCYyWhXr47e977JL/xCg5CRY9+ORqMbGyld7//N3zT+5m82/9f/Wn33u0+uXu3ncvPpVDg6 Uo+OdlqtsSBYsRgRhEggoNRqrbW1cSqlgSzmhRfy//t/B7/znUu6HpAk8/BwczYTFMUQRcswSK02CQTI /n7EMAK12jgS0S9cGH7mM89Fo0YqJZVKliRJ+XyeBpJEUdzZ2Wm322trJBaTO5363p4ViUTcpOTtOD4+ tjuTFUWJRqOTyWQ2m0XughDy0ksv2d1pnU4HBVm9Xs9uIFJRYvbgeDyOx+Pwt4miyFoAgiCwpUmVSoXt Lf1+H0YtezUsXSBEgQ/fTsQUjUYhN81ui0GrhdRFCO6wxVMXLlwAWZYjhS4HDLFOpwNZjUajwTlxCSHx eFySJMyBHnk/+XweK589k3HJaYoTCHTMiKSZ6UjKuXLlClZN7k2xptLKygo8Fsh/4i7IWhvFYjGXy7G6 mBwMw2CvHIlEoEvAFvanUqnJZIJdJfL86EcIz9kvi17qZm1Q6QNvIKudW0oMw0CoF0pMlmVRdWuU6J96 2dcA59/gWAbRaLRcLgeDwb29PcwdCHaORiOkkRJCQFzB2sLZbHaZlCIADHpsj0Q5LuIm0+nUvgSORiMu mctxI3IqFovgwUGk35fmc3k8VqbT2WgkPvNM5qWX4m96U+/Nb+69+90ntdo4k/nB0ghxjW73FQ6Do6Oj QIC86117H/7wDyQ8hkPyrW9pd+6EDg6izeaQkMDxsfL009mXXrqk66+wpsNho1CYJ5OLeFyTJEvTguOx NB4HZdnIZkOqKhBCZrNLoZA5nQrHx7KuByMRQxAsSZIkKdxuB3Q9cOWK/mM/pl25cluWW4SQXq/HcU02 m01264nkX3ueSrfbdbQ2JEmicg/2qSoWi1Hiln4/cHRkvvDCjJBYOGyEQtZkIvR6EiGBdjt0fCwHg8Qw AvW6PByKi4UwGomtVmg6FROJhWEES6VZLrfI5YSf+7neZz/bLJXkyWTiTncmj0bJaLSQz+tra8ZiUYdv ZjAgIKW1f+XupKz/xE803/GO9je+kf3a1/L/9E8rrVZYUfRCYXbx4jCRkMZjvdcTJGkuSYsvfzl9/XrN MAKxmG6aJJEwfvzHG//1v95UFGOxCK6sTONxbTCQotFEtzvc24sEAla1OllZmQUCr1hdkslktepQ8Q8t LkJ+WD46HA5DoZC9onh5DAYDlrlhZWUlHo8fHBx4hAjtFJbA3t7e2tpaIpHgGgPPBPwBiqKwUnDIBp3P 56qq4nfpt2Ai4xysK5Q0JRQKra2toQiz1+spipLJZFDawP4u66sLBoOyLLMNY/tzp9OBEXPa03oFhsNh LBZz/NZgMFhfX49Go24z28rKCuSg8ac9l4uT33MESqDZI440cVzsb7FYYI/hUV6OUn/DMBDt9WgDagiW 57eAFDalHOz1eiClLRaLhULBNE1N02huJhyEjhbbZDJxm8OTyWSxWPRwC9FEN2hO2U9AFho4RpvNJkxb KDa/TkTqvaQ3Hgq8U2DOADefP5v8FQ6Hd3Z22IoAQogbSxX6liRJwWDw9m2eSeZUYGcgSVIymex0OktG 4ByBWqluNzSbCb2edONGbH8/Eotpuh7o9UJY7Y6OlIMDJZVapFJaKhXM5wVCzMWi/9hjnR/90XYs5ux7 cKSgAKB2gSkJU3AikVBVlc2f0PWAYQTCYZMQIgiSaZb29qzd3el4HF4srGhUCoUmiqLPZkIgkFaUBCGk 01n0+5NAYFoqTSXJnE4FwwgqipLP5zIZMxAgzz0n/su/SF//uhgKmbncDHWSlYqVyfRzuXkspudys5WV WaWSR4BgPB7P58J//Ef6xo2V73wn2O2GDCMQCFilkpXLDRIJTVX1bHaWTmvZ7CyV0vJ56+LFi2j/3t4e a5R0OqHvfnfz3/893WwGW63A0ZGQTpuiOCeELBbCYhGUZSOTMURRSKXm5fKMEFHTJoXCLJHQwmFDVfV4 XN/cHNHgCAck+kGbG/wr9CPW0CHkFXwPKJ2wzzuyLCMPyU1c1w3jsTgYSIZBHnlEdtyBcVt5Cth5KCYK BoP1el3X9VAoBPWNxWIBIy8QCHDzO2LVhmFomrZ8gbQbPMxxUFBwef5suI14cr6tra2pqorcSdM0JUlK p9PsWkt9DIIgRCIRqpNMExvpmXbadbaYE7h27Rq1ObwFY1Fc7SGk7AjoxFqW5aicnMlkFosF636gD1aW 5a2tLdyOpmnNZhN9FT7gxWKRSqWwc/NugL3gguqtINuaEJLNZofDIWuIUw+H/X7L5TK2hZZl9Xo9x15K GMoc+sxRk+LRVGgZhkIhujBlMploNEpdSslkMpfL0SeJInDv1HUo9bBPmNKoTyaTZrNpmmY+n1dVlV2d 3d4y10OwbPV6PWpbYyQuYwjeK85Al37+PRy5XG42m3HJO4lEgrV/UdfEpQf2+/35fB6LxTiuccTnCCEn JyfcqmznrbPDNE1kIDtG2jiAaOjkRB6NhMkEtnOg25XqdWV3N9LrRdrtoGUFFMWIxYxLl/RSqdXvS4Jg lUqzrS1dlo1SaVarjVGtDr0ouyYcB+TMe7T/9u3bkOikD4qjnxJFSxStcDgMkkpRFK9eJYQk6dcZN2YL bmRCCCEyIfLJyaLR+KGzOpX6wS7nHe/QPvShzksv3Wo05GYzPJ8L3a7UaMj1evY//sMcjcSTE2U4FNfX jURiKMtGoyHv7UVqtfFP/MT0v/03k5CbgYAViURNs/yd7yzabavZDL30UgyF/r1eSBStanV84cL80UeF bDYpy+ZiEfy//zf99NOZO3ei/+k/Ld73vkW1aiST1sWLhixb1CjBTp1RVQ0SYk4mZqczQrbBYDBw5Cyh gBScJElHR0foEtQa5ii52EgfpV7gMJvNbt26hXLHe0I0qkejOiGk2506WpzcQoK9tSzLmHzB4Y00JtpC URQ9LIl6vR6NRldWViBy6ybsbC8Mccyi8HD+4Rly23Fui++xrrfbbWRlwa1CCOl2uwhn4IREIrG9vX3j xg0kVQyHQ7o6NpvNyWQSifygfMO+7W6322CihB4TtODpp4FAwKO8HNt0pNrApHO8C5YCOBaL0RBVpVJp NBrcVzhrg/312WyGFBaWng5fYaX1WJYRZMZAlDihxwYPAAAgAElEQVQej1MHANdCSohMPSusLwpbf9r9 7OkvR0dHMDiOj4/dfGZgKy+VSo1GYzKZ7O3tIbzleDIhRJIk9EzyysA0ohX0T843Cc0/t2sCUAfs9Xrt dns6nVL6acuy6Mw8Go1g2zUaDcuyEENxvFoqlaJy9uTuGsQOXjxVKi79cHH+DQ5CCGcxoOZ7d3eXzmKB QMC+uUHuVavVwjqNg0gdn06nnJwpuWs1T6dTeydmi0Goke5obUBcajqd/s//WfvmN7Mvv6xGInqxOItG jWTS0nU9GCTJ5GJtbfyTP9l49NHMeHwnndbg2a7VapwjNB6PTyYTepudTkdVVVmW6boly3KxWOSqJMrl crfb9XY2cpMUN9dfuHABVMrctyzLonlqAPzSbH4MtV1g7x8cHCQSCVD0TKdTUSTl8rRc/uGT39oS6X5C VWvPPWfu7c2n02Aut1hbG2UyC+x+LGvVMAxRFA1jtrr6CntLVdVgULhxY763F3n5ZfXb3442GqXj45Io Wo880v+N3zj+z/85nkzyI6Vard7VpDaQ8sbeBU0psD8rO2g2O+0S9JVBvJfugAuFAl5cLBbL5XJ2ajIK SL17JCl7l3eiH3I9GYRX6PaRSARZyWz2AJeKO5vN7CslR2E0Ho/BvYuaIEfBd7adCFF7l/bY0ev14HWo VCpYEriFH7JHbpH12WxmZ7G7du0aO4nbl21Zlqn0/HA4HAwGuVzO0aPJXnxraysSidBogqqquVzOMAzH 6QKJJpPJhHUMg+6MrWVg1yr2naL3ctfkXjqXUoBabnvONa5jWRZNkNrY2JjP59ST0e/3USoP0Tvu69gr uzkbFEWhMRdN0xyrQ+HV8KhJRKsSiYS3fgIF5Kbxf24qY0d6PB5fJlpBE3spYQErCwBw4/Hw8JCOhcFg sLGx4XhlbOq63S6qu/Gg7KGu4XDoGxyvESRJ2tzcxJjM5XLYFrADCVnfbl+HrmM4HIY6mttp7XYbrPX2 yDR78X6/f+fOHbewKy11W1sbb2yMrl5dvPWtRWxkLcvq9foojQmFQul0djqd7u39cJozTXN7e/v27du0 44IUi56AeScYDK6urrZarZOTk9lsdufOHWisIIkdjyufz9PB78gHmkwm6XKCyZq12CRJQowTPJjYkViW dXh4yD1n+AkrlYqu6xALpb81n88xRN0UmQkh0MYrl8so/a9Wq5b1H+vrP1xLcrkc4mKUD4ObO6rVKqIY hQIpFGaPP94hhFy9erVer7daLWytJMlhmED0hDbMMAxH/dKTkxMuSghydPqOsF90vDug3W6bplkoFNrt NnJp8/n8qQmzoVAIe1N2Emd7pq7rV69eJYQcHR3ZV8FAIBCPx7m1h5Z/E0Imkwk0Zj2cYY4Tcblc5lyJ dCxEo9GtrS046t3GIygT0ul0v9/HYLRHUuxHJpPJ7u6uoijj8djuGkGIxOMtuDVmd3eX+ue4NyIIwmKx YE2r6XS6TGrn7du3aeNBgikIQqlUcgx/QKyRm5SgplupVLwdmcSdf5ZCFEVuKsN+wF5Zres6lnw6Il5+ +WV7sWu73Z7P5yxfYjQardVqYP1xW7nBpJdKpUql0snJieNs4DYzs32+3+8vL9fc6XTQTjDXsQb68fEx ih8TiUSxWETQEB+l02lHdhz6xNBvHTUZONuOs7wxakRRDAQC6JBIPUbH43JCE4lEuVyGUi6OvB5IOMgb xOAgd4Nk7JHly4Q4HkMPwONaLpfZpcgODz/eeDyORqPj8fid72wRQlDGiY9ADQQXXKFQsCyLu44kSbIs C4JABwY37dKQWzAYZD9qNBrpdJpu0fb399fW1q5evQrfAze5CIKwurqKovDZbAbGHkiHg/i8UCiMx2Ma RqXUXvV63e0xusVcvSHLMvJ88Sd4x7Go0HMoITdFIBCgMi6hUIjLmWDPgaObxXQ6NQwD2r/klSIFo9HI zlfNVU0Ddm10+62hD9A/uR4I42Y+n3MrK43mxuNxzC/cFMb+SfPIHP0cuq6jPpYr72TPwddTqZTbxtQw jGKxyObSx+Nx+6LLbbxyuZy9kiuTyei6jvQ3QkgwGLx06VKr1TJNk4uXVyoVWjgAhEIhKh/Inkl9LZqm 3bp1y21C4BL0OOoa+tJDodD6+jpedygUeumll4iT8/9UsC+0VCrBGSDLsmPBp5uW6Wg0qlarFy5c4PJF lgdenL1v4CmFw2HuI8f0F8euhZFy8eLFfr8vSVI8Hh+NRrRX0Merqiq6Ny0GxBC4p2J7YpsDVVWlb9Pb yZdKpcbjsSiKjqYerI1qtUrt9Wg0mkgkUMWGkeh2/YODA5CCcMeXuTX2nPl8fnJyAs1z+w4EuSb1en04 HKZSKb9K5TVCv9//3ve+RwiJx+OVSoV681g+uPsLOwfU8oCvBdMrJx5L055nsxlGEbsIgTSQEBKNRt2Y ndgplTWfQfhB/5zP59euXYPZJEkS594IBAKoLQyHw4lEQhAEVmMWJATsKjscDm/fvh0IBO6jNBFQKBTY ENJoNPrud797+fJl0AwTQtw0EkFAeevWrcVisXyVxPHxMfVVXL58WRCEU6sD7jUznC6B6XTajViQ3NW8 tTOSLRaLixcvHh4eDgaDwWCQzWa55P90Oj2ZTPAiRqPR97//fdRA0hOoBcOyIzsCGfuEkHg8vrm56biZ pvqxhUIhk8kIgsAmvQJs7J+CTVUhhEQiEeSfsudMp9Ner8cdBKEn25nhjXfLbKD/92B54tJyuYAgvYhl WWB2J0yVE8ScvZ+kB5rNJhUxqFarlmUtOWWhZlKSpHK57J0/RMFl7bjNIfP5PBKJxGKxZW4KL5FLziWE IOOe7n/YS2matrOzEwwGBUHo9XqaprFeIugJcDOJR4Y7seVYKIoC/y4ba6YAHxeKOxaLhTfpH3LXqGlr HzIoWtF13d4HGo0Ga3B0Oh2P3FW3bGg24HL16lVk8IAePplMlstlWZax2Xv94PwbHNR2Rv5zKBRSFCUS iXC9DQLKyIo6s7mgqmo4HGZ3Fd6DwQ3xeBw7ueFwOB6PFUVJJBLswBsOh2z7w+GwLMu9Xg8cdpTAjsP+ /j7c4Jx7DXtHbi5zm6d0XaeGzuHhIed4b7fbKysrnGyNd8jAOw+fEBKPxzOZjL3i0THLhPWZo6rZ8Zoe zmTHIQp2ZPonRNTY+6IEZVTNIZPJlEolqqxmn3YpJEkKh8Msrcv+/v7FixdZyVYObgvP/v4+ndpardb2 9jbdeoLXcm1tja76lmV55+J4QNf16XQKB7uiKOzd4f+IKeDIyclJPp+3334ymYQSSr/fF0UR0TfLsrhO BQuSTUxmkyronhhLFPcT8Aja25/NZpe3A6LRqKZp9l46n8+ph2M0cqZFQQis1WqBLdsegYJeINQPQCtC P4KtQ710siwvaXCgLhS/7ki9z/VG+zluzkhMHR4j2u6J4d57OBy+c+cOFUVbX19npyOwngiCsL+/b3+b siyD4mUymSCK6jFGHIEkXMdMmkwmQ40AtsrDA6dW1WJqRch4d3eXXQswDEulkqIo9pg18sPw/83NTTux Ewfw1lN6ul6vJ0mS3b/70HH+DQ525NA1o1QqsdMNKLaQ8XRmayMSiSAYyR6cTqd2qlOPtQeQZbnT6SBm jyNg+2bPYd3dNN1hNBpBi8RxRsA5s9mMGyeRSMRjn+oN7tZo+dwy37148aIoiiiJHI1GtLiOOy2fzyuK Aj4f9niv1+PEWiORCOvz6HQ62IOCpZv9LufrTiQSpmnmcjmu3MYNhmGwrhHQSHc6nXQ6TT387XZbUZRC oQC9DMd0SNrs1dVVuCXYn6jVaoibUBpWCjcqAm4RlSTp0qVLzWaz1WohFWZnZ2eZG1wG1DqZzWZsf8b/ 7bq13IyZSCQqlQobfdM0rVqtOhaxc64aTiIE+XSO+9FkMgmVVJDFoRZdFEVkYi65GQDFp+NHpzqxQKVF 7tJ+O14BpGR29w8hpNls6roOBrxMJuNWuAvYtYv7/T676iiKAsov9n2xasMsFEWxLIvOFeB1bbVabsoA hBCkWbiRygB0sgJu3769trZG41bT6fSFF17Y3t5mL4KgG81TRlEYPvJehjnAT8YxZKBCCnKv9KC9/BCZ c1whuiN9CIder5dIJLBFsX9qbz9KuCORCMh/MYNhQ+JR8IWWsK/1zAvZA8X5Nzgccx5RqUX/RDZ1NBp9 NUGWeDzu6IgGjzVr9zhaGxDuguyTrutcm7nOihxPmDJs2r/3UHcDikHY5IYzAzl9bs24ePFio9GA5V4o FDBIQqFQuVze3d118+JqmqYoin3Gx8x18eJFOBuCwaCdlAK3MxgM1tbWJpNJt9uFLxep3ZidFUXBex8O hxjt9jaAUAjzMtLX2QdFNXK5VXY+n6OIn5JwA5RflX1obGI5XGWEkHA4bJomZ22k0+lMJkProRRFMQzD Pr+Ew+Fer4cwCj3YbDbdWIO4+5Vl2TupcDgcdrvdZDJ5qv51LpdrtVrcthIhfPaxjEYjx+4H7102mzUM A8m/3Dty3GjKspzL5dh9qqqqtJjTznLtAa7v0YgP6wxTVZUz9NPpdKFQwA16eFMwtD12IN1uNx6Px+Nx t/00Eq0cCdEJIWxCzHQ6tScPur1lQRDY28Fwg4iuvbNFIpFqtXqGnBVCyJ07d0DCQcF1lXQ67dbHvNWg KFRVhdBxq9Xi9khUI5oFdyOKojQaDbxEmtYWiUTc7D+uFGs+n7PzvwfjiyzLrKeQ3bnZd3EoR8LUBG0X 9lG8rlTpKc6/weE2ktkcDiiPvxrOsUKh4MZZzuqBndpOwzDq9fqSzt5EIlGr1RqNhodnb0mxLjoe3ELO ywSDI5EIyvTtkXVCSCaTQWl7sVjUdR3zVzgcHgwG3oStGPweykyYjufzuds6OhqN+v0+XXtms9n6+jrS Qjk6nclkkkgkLMtqtVrj8TgcDudyOawZhUIhlUrBgGg0Go6B1Uajwa46vV4PTdre3malqui8wHLygAK8 2+0GAgFK9YhMNPYnEKnRdZ1ebTqdOk708/n86OiIs0Wm0+n29nY0GrWzyLDwyGkghMiyHAgEsCpg+qbK wNwXoZauqqqjg7rVarF5NqIocqYqdgvwyUG2ihBSLBa5FcKxZ85mM25dZNtwr7mHFKDfQH40ezwQCNRq NaTIINEhl8shl2I2m3mkqMMDwZYc24Ge5hY7wABfZtKIxWL2cQRNEHsMxS1u4rh1nkwmh4eH6+vrs9ns DHHkwWDAplhOp1Oq1ZzNZrPZLJ3E4CxE+BhMzfarBYNBzEJ4BZqmCYLgmPt56dIl/G6r1YLQDCarRCLB dirWAzSfzy9cuBAIBJAXzCEcDq+vr0uSxJIH2miKHJZdNAME9rVajatrBb8LF33WNG1lZQUXn06n1JhG bWAqlbILUD90nH+Dg90zUXMYxbE7OzunMvQtySbuMTuDsoabLNzcmMCS+ZVQtAJjuhtvfzAY5AwOnOyW OeE2bUmStL6+3mw2PcK3iLUjlECbBM0Ccpd/ZjAYsP4eRK897jGfzw+HQ48duSRJbDqnGzjuB+SyENvg x0rW7XZhPoI+gUo7hkIh7E7cUk3hjWDLH3D85OTEMcwEVgMsqOFwWFEULD8sBfhwOGR5ruBV5hrg4T7l kuPgG1hmSXCzYovFYjab5Xgp2u020tYo+zK9COIIqqo6+r1YXwVnBBSLRbaz0XtEOqRj27hhZWcjWBIo gAoGg24iWFTUg7I74HxsXcjdAAqb+oOyoGAwCE8qTf2mHeNUpTS2CwmCALtnme0EBRJlWBKgaDSazWbR eLZTuYVlPQApBtpRHWdOt+mUra0jhEiSpKrqI488gpLUo6MjGpmCtUEI6fV6oig6egtM00SN+tHRkUdW OLh6cRreY7/fFwQhFouJonjp0qXbt287jgIPRw4YAURRXFlZQTI+MpMof5osy46REfb24YZkPz0+PrZb hKZpvvzyy3hTbN9A7RLENAghkM5xa/BrjPNvcLDLWzqdhgorGHAdTb/Nzc3bt2/DgEAe9TKeD/ulYrGY JEmdTqdery+jx+MNWZYh7xIIBNBfc7lcKBRyU2oFHJ2l0Jmcz+f3FOQ7PDyUZRn1/XbTnt2dcCRFILRQ FAWM4+SVWTVuMax4PF6r1QghnKwinPBUGMkwjBdffPFUi7BYLHIGGR2igiBQwjTkdZNXbiUXiwVbtWua 5qk10o6KVo7LiSiK7BsslUoIHLDnUEeLYRhULGr5ZYYaSfgTAbsz100QQsCGaTdZwMQFKQf2AaJjsJs8 +l0u3MMCDM1uZQJuXnTOiBcE4VTTShTFarXKkZwahlEul6PRqD2vgnoITNPc29vD3qDX61UqFcMw2L4x HA7ZgR8IBKrVaqPRGA6HrDBYu912UzahmM1mgiBQ50E8HgcFHOdVxXLusUfqdruVSmV9fV3XddM0DcOA s4oQks/n6dpMtXkBSZJ2dnbq9Tqa6rEdYt+mYRh26rlMJsO+I/hfFUWRZZklzICbQdM06pZoNBrQ0Obq 6RynVrgMTdN0tDbAgIxcXRzh6tuxPIuiqCiKo8GBGJAj0z+V6qVTYq/Xu3TpEngCQTBNT3bM5yWETCaT F154oVwu0+x7jznHLnBPL0Jby7A5P2QIf/iHf/iw2/AKnMpFc6/ApAYnZyKRwMr34osvDgaDfr8fi8VQ sYIBD5od+nYXiwXL0UQIEQTBnvmVSCRYXVCgUqnQrZ59NllZWYGk4ZJ3gRhELpdLJBKFQgHKhC+//LL9 ytFoNBQKaZoGginHq41Go1Pzq4vFIit4aJom0hTAPMPebCgUqlQqHukj+O4yoVYgl8uVSiVsIrloi2ma uq7ruk45v08VA6pWq/byV7CcqaoKovpCoVAoFLAhxjzl5nJfXu2JBWpYuO9KksT9ymg0AsPKaDRiPzIM A++90+kcHx+jPy/509Pp1LIsmiHU7XabzaajnefRYVgMh0NY0txxDIHRaMS1DTpnbAQH2RXpdBoTruMj NQwjFotRMjo3QNAVcy5Sd9lPWZ51N8AO5sYRzEosruxHq6urrEOCrveLxQJJKoZhsB0yGo3Su0YhWKfT WSwWbKvAD4aYAh0jCBHSczKZzM2bN6mzanNzE+oe7Dk0q9p7RID/dDAYIHpI7SfkNqHklVveTNMsFoux WAydc/mqkGg0CmUWer/z+Zx9nuvr65qmjcdjGGHxeDwajeK3CCEQr6FtGAwG6MOsQCPr+0QHBpG0IAjt dtvRSQNq4EAgAKZBQghbmQhqEBhhkUiEJWylwMm5XC6TySQSiVAo5Ji6R/+PrRqcyuw8CZvP8dFpmtbp dEzTRAWyh+Qbhb3/U9g5P+4LzuBBPP8ejlgstrGxcevWreFwuLu7C7Eo+inyBLF7EEUxFAqxIRisbezV 2O/GYrF0Oh0IBDiWZVBeurndotEo0pRQmGBZFoSUULXLrcpcrAQ5Xyixs0/T29vbpmlCPB1kGMuL2XJI JBLZbNZxuE6n01qt1u/3p9MphKwgEsFRPJ0NsiynUqkzaAKxQMkJ5W53K2/r9Xq9Xg+MGjhyqsoMBy4s hX2Vrut2o7nT6diXAbsFFovFptOpo/ITyuvP5plwNOIFQUAIgB5xNGIURSmVSvV6nb0IZ715J+6Joshx Y8BPTjwroieTCedISyQSk8nEzlSLIF0ul7tXsToKt8aDYpj+GY/H2Xwax6QibplBgGyxWAiCoKqqm8OG LuGKoiAFmFqEoVAIIQ/2fFDpRyIR+kX0efoGuQdLy3EFQeCI19hsTUEQkPlubyH44BOJxJIFaMDx8XGl Utna2qJ5WtzzFASB+ktgsGYyGVrGbB8ydCegKEoqlUqn06Bjwadc9QrrmQZDPOvH6vf7lB0YWWUwDRGJ 2N7eNgwjFAqh8NBek9/v95PJpCzLjgKKHOCGGY1G3ErBvqNoNFqpVDiitlarxSn3csI6rDcrnU4rimIX JHIsC39YOP8eDkVRsC/EnxARZk8At78kSZhBdF1f0oRXFCWfz1uWxe32dF3vdDr2nDVyt1dh0MIsoNFi FL5yt89tvPL5PEKYjvs2TdMQxyF3KYkouXIikXDbE+dyOfZHL1++nMvlUqmUm2ZBJpOJRCIQZMGOBLuB cDgM1bflPRl2oPqG3gWxOcmXARstOnWDO5vNQGqCrLd7Ek/mIgLIDI3FYpiqyL3QWgClUslDxWbJB4st Gpcnb4dlWR7cZeiZsDYikUgqlWJfhCzLbN8Gs4u9twuCkE6nDw8Pe70e2xj6o/f0fLjNMXuF2Wy2DIEb OHCX/0XQiNE/WXENQghCex7zVTgcPjg4mE6n4M8ADTl3C6lUiiO2kmWZzfNVFAWBVNbrIAjCyckJFlqQ 9GQymcFgwDpI2MvKsgw+QK57z2YzhJjZg4FAwE7G3+12B4PBbDZLpVLwRhBCotEoK/viCBgxrLoYBYIp 3PHpdIqaC0IIq9EK0Ken6/rq6ioSYgzDkCQJtiCK4KbTab/fpycLgmBXjCJ3TRzUCbNxItM0wa8/nU4h fWIYBtdzUAafyWSCwSBmLbcngB0Uniob3WPnZFVVV1dXj4+P7Q+Tk93Y2dlJpVK0t1uWlUwmkYiTTqdR 3Ms9NEdW0/sC38PhDI80XWQzGIZBmZ6hErJM3gY24m4c9Y6RTkhVgfMDGvds27zn30gkAme72wm0VI8S OlWrVXgXscWBx3s8Hi8WCyrBxZnni8UCgUNuAwfuEEVREF4ld33RKKmYzWZ0Xx6PxxVFYTO5HPmOoFPg mD81m81oV2bzD7a2trx1n88AGoN3/NSjgI0QEo/H6dNLpVJImQQVSi6X86Yp5ABFCQStvM/kNq92w2J1 dRUsQ6f+qEfuMMSy6Z+BQIAN3nM5m4lEApzlXLYEx1YSiURACPZqMkgosHg7Dhm3vI1+v08fF7S/4cKk F6nVaoIg4MVBW4uTs0cVerPZ7HQ6sVgsn89jEmg0GuydIouFPi66pmqahgAunjkkCblGdrvdXC5Hv0tz AmhmTCQSYX9rOp1WKhWuBKPb7bJvlrsRFtevX4/FYsVikbouIKUE+xJVG9QpgkJouiiOx2Mut9EOTCYc EyCFGwNst9sdDoeyLG9sbOBJ2ldiTCmiKFYqFUJIp9Ohkwk3iCzLchsOvV5vOp262UzD4bDX62FoO57w 4osvrq+vZzIZ0zQdJ4p8Pk8Xe06iEnpA+FNV1Uaj4RjotD8ibvQhQEn/nM/n2Wx2MBj4PBwPDW7RjbW1 teFwyHrRNzY2EPJwMzhEUYSTLRaLDQaDW7duIQ/Abado590DZxy9/s7ODu2IbpWfwGQycdTvZh3aYFUH jxYhZHNzk67cYI9hu7VjpSt9VpwXFzc4nU5brRZCuZQ/h6u8HQwGXBmw3dpANMrNeGINZ4h8YiPCToWv Dbx9XeFweHt7ezAYSJKUTCa73S59nqd6WTmMx+NGo7GMmVupVFhTJpPJ0Hk2HA5DSmp5OhZVVTOZTKvV Yle+lZWV0WgkCAK792UN6G63S1+6qqqpVIo6Mzx+6/46Lz38PW5ZotQys5enCYJQrVax66AZdtyg5joe CoiuXr1ql0T36DaTyaRSqZimaWdCA5BRhOuzpuRgMHjzm98sCMK3v/1t7iunLlSyLNvpB7kbQYEoSqlH oxHVTOc2TtzazG23kskkNEsHgwEyUtPpNJX2lSQJZhB9d/YtMnTbqQ5cKpUC5e6zzz7LngalFfon/A2O d0c8Swjtd8QBxmgqlXLbeLRaLVVV8/m84wlsV2StFm4PxmXFsWB9tHCwBQIBNtuUnWxbrZa9U1Gt6dcD 3ighFXY+TafTUGdQFIWLaHa7XYz2yWTi2AOQTTYejzudDjZqi8XCww8Pagr2COeGNU0TPQbyrfQ4rHs2 Q8oN4FKk31osFnRmMQyDOiTwJ5vQgMwV+qckSbVajc2Jc0yNBiPCcDik5oJ9l1mtVjnWIM6ZDLpA8Fiz N0jLHxAcJYRomtZut0FvoOt6Op2GxIyb0vf9BVg33Ar5IKmqqiryZlhm2DOAe9GyLDtqPSAzXxAEzNrD 4RDprpiCwW28/OYGNJeaprHrClYg5CQqioKZnVtuQYSay+WQYdBsNs9MGReLxTKZjKP1WSwWuaztJSGK ommabmmw9mGFsrVGowGPHT1+qnWL+Kn3OVznx5bdzdo2DAMv1P48c7kchhX3fnO5nLeJCU4/x/xHCiyc NLiwWCygh8zOkJyOSTabTSaT1EqWZRkpwyjQAG9Er9ej05ppmvl8vlwuI4JcLpcFQWCfXqVSwQXpOMJ/ EN1gW0vDBIvFYn9///Dw8MzEKnaw7wvyW4IgwC63nwz7CbKRdssPFTEwNbrdLr0LjicQvY52CVVV7UM4 k8lUKhVcKhaLybIciUQqlQpsOITY2CSneDxeLpfz+fyDq4n1QyrO4J4L6vubzaajowyUPvdag25HIpFA db73fIQ+B9Ed9vhsNltmBueuP5vNWHcOawlpmsZl4SmKws5TiUSCTS9ys6JQ0ecxc2FCgRwGdZ6DS5Se Q72CeBd0HKJ8dDqdgq86GAweHR1R+wke3UqlMp/PMQ+mUqn5fM4tHqlUiip0uDXSDiT52zdDoMqwm32G YWAmBS/1bDa7L5ECitXVVXsWJOLo3MGTkxMwFjhSG3mLh3nnrPT7fU3TNjc3Z7OZnZih3++Dcts0TTZf uFarGYbBVgwKguCoAQtIkuQ43GBW2jk/lgGWH7de6uGBODk5QdienLYzJoQ4VuvYcU9ZTRAud7STnnvu uUKhAI7txWIhyzIcVEgs9XCPQUUsl8t5e+xarRbbH1B6w57ArvrRaDSfz7N7Etozqb/HbgaBgwtDhti4 xTD/cF4TNynps7E1iqIYiURA1OvYIePx+Orq6ng81jQNaa30i46CvYSQbrcLGnh6hPq8UamwuroqCAIX C+NMCuR5TKdT1NfYfwLJZuQAACAASURBVCWZTNIFCwm8mqaBOAR7YO58cJks80xeS7whDA5JkjY3N9E1 c7mcpml2jWwgHo/bOQG5xGA7HAvfIV2BXxwMBsFg0NHTCwJ/xylpGfovbk5ElSCdVubzOSj5yCsZjsnd mi7WpqGWCnwYHtyIHqjVapqmseShlGuSPY3dRNoj0ISQ6XT6/PPPo5CHPc4mixCX8vRut8ux/LqBfXFu 9ytJkoeTCUWnpmk6Lvb3CsQpEG9ynHTcOLwdZThisRhuqlqtxuNxTkICkCTJnkzHYjKZOCrTEkKwo1pf X+dCgeDyZ/ephmGAXwS1YJQvixCSTCaLxSK7qGB/DKoJj4adTRaRECJJkrcXXdd1rHmCIDiO/ZWVFbrz 5q6MvJDlG8OZg0inwKUcLUXqLaDV6XDCgTOXzhjIZ6djEMveMgLlp9pYFOPx+IUXXrinohVCCC3zQRUx mzWJBExCCCppT7Xk4ISzH19fX0cdH3dckqRKpUInIlVVQQaPAnt6PgoPHZdqxCYcbQ7OOGMf42g0gvws NJVGo5E9FQ95ssgHcoybI4ObPaLruiPVKb27U9NrHgreEAYHIWQ4HGLioLXXdmCLj1xOVoGlWCw6GhyF QgHqjnCpBYNBx9NGo9H29naz2aRJavQjiLmTpce541abAtknkiSl0+lut4ssUSpHx83O6OJUsC2RSEBq WdM06kZeUqcAQKDKnpw1m81gXqyursLOw+SCT+HMr1Qq0Wh0sVhwg83NLjwVSzbbMAzKz2Nfvdw0StiU ncFg4Lj/ZktzCSGyLMOp4+jWpktLpVJBajBEK5a5BeJODUJ/HbHwcrmMMuxkMtlsNkGIvowTyGPqXywW 165d29nZYTd/mKyRSowjSI5mVcQ0TYMEOf6km29VVSuVCpsWdwZiZsckZYDluiCMKgoFF4WpVCrxeBxJ 1tT2NU2zXC5zpTHQLet2u96OSdS10RQf7i2jwpwQYlmWdwfATIJWobQ7EonQewHZP8u7NRwO3ZSTKbio wTLFenCpLhPCi0QiKysr8CNCu4q7DqaOTCaDAeJtUIJRxvEjy7LAMR8IBHq9Hn1H29vb3MwP0URyVwsa +mp37tzBts0eiRAEYWVlhdaksN3MTciGthb/yWQyKDxmDY6trS3WmAiHw/aNwWw24wST3baj6+vrwWAQ kaxMJuOWrvuw8IYwOKbTKV1Ej4+PHfXHCeOT2NjY4KY5SkbJXdY0TRpKZ7MluNOOjo4cZ21Ec8Hk79F+ SnHhYW2oqooyh5dffpk7zTGbaXd3FxU6qqrquu6oNaBpmrdDHsB2ShRFN585tmKaptVqNQgO4fGyRnok EhFFUZZle/HeqWB5Tu8VHl90m+9OtQ5BPYSdDY5A3IG+CDqXoaZRkqTxeAyJslOJQGB03pMtSAjpdru6 rqPng36KLG2WnZqCOhgMKpUKbCyodaCEFekvoPLkvhIMBsHWnEqlisViJBK5evUqPP/s0EMmATf6wGnh YSp59B/udaM0kV0v5/P57u4uLS4IBoOqqnJ8vqPRKJvNgjMGy14sFtN1/YUXXsDtTCYTTPr2BoTDYdBl Ok4I8CSB5M3tFuyg0i3BYHA8HoNuyy6w7j1GkL2+THUxh3A4vLW1FQgErl+/TntUoVDAU6VmAWXicrRO aNs4Gw6KvvaOapqm22TYbrd7vR5IUyKRSDKZpBtCt1vAW6bDE7rNVJOBYjQaYUcEGwvdTJZlkNK6XTwe j2O8G4axt7dnNya4taZYLCL3nzuN69V2dn/w1kejUboF6na7bmqUDwtvCIOD66+WZdGKfMfgcafTYSeL vb29arV64cIFjpUF7nT6p4c14LhXEEXRo+QSOmHI6VsmkRbJa8sn7o1GIzY24bZLdiMCoigUClB8Jq8c OdQNUKvVWDIrtk6Mffj3lCzM8VXAZnJLu0F62tHR0dk88PcK0L6BO1JV1fl8rmkaVGboOdQQCQQCyWTy hRdeWP7i6XSapUtaHsPh8Pbt24FAgH7XYwXi9GxZk85u68BKoNnypmmy2Sfb29v2Ka9er2Mp6na7pmmu rq4GAgF62mKxqNfrlC4sHo9fvXp1MpkgYu0Wb7pXrK6uJhIJxxSBRqNBe6n9UdPgY6VSgTwYNda73W65 XK7Varquexhq3FY7Ho+zXv1+v8/VeYGbH2QbrVaLe3GYRuBFTyQS7Xb78PCQc6ShdJndEnDeHQzeUqmE lixvxEuSBMEmtlfIspzP59ln69Fj3XwkyWRSVdXnn39+mWZwP4SHX6vVlhHOJE5jwV70S2dXtrWo4Qfp +3Q65a4TjUZXV1fb7Taej32OisViXM5KMBi8cOECZKfY0zibRlXVdDrNmq2gY+Fm8larJYoiEts9H8Br hDeEwcG+qlAohNURzlvHMBhnck6n0+vXr9tDYmCMpn+CqNRx2WOliQRBiEajoih6BynpfpQsF3BZMsn0 XtHpdOAtxwRkz1YBsQf+z5pfiqKsra3Bt8FuTxuNRj6fhxbrmVsFojY2RYB9ZdyngiA0Go3lg9OvErPZ bPkpcjAY3JOi92w24xbIYDCIbbokSeym31F8y34EJcf22RaRHTbjHSyToPY/OTmhPjkEIuv1OsIEmUyG 80UPh8N0Og3rmS607PLT7/ePjo7Y4r16vc7eC3zd0WgUA3l/f9++li8pskjB0YZy8Mi2E0Wx3W4jT5MQ EgqFOMder9dLJBJu6yseDvvSQcFiWRYbm4PgEa4cj8dzudx8PseMsbKy0mw2WfsVrxXyQK1Wy/6WZVlG 7KBarfZ6vfl8ztqdhJBIJIImhUKh1dVV8GovmY+JOCzIMCiGw6GqqpFIxC3wgTI0URQzmYxbUh3mk1Ao dObir93d3WQyWSqVRFFENFNRFLbY2zTNg4ODfr9v938g8VkUxWw2i684WmCxWKzT6dB6eC4ShO7h9iQT iQQtPOHANjIWi9VqNftprNmaSqVgInPGPf1pMD44NuO1xPkvi9U07Xvf+x79k85K4Bt2XPYymQzlzqKA igd3hJ3jRFEMBoOOfItgZcafoVBoMpk47rY5ZzKSH5E+Fg6HqbzkkvCg1ncEVyaO/2Atp8W9dme1m28f NW+WZV27do1rBqo37eoz7DW97QPLsmRZpo8U5J70amzinqIoqHD2fhTYBuEcTO70TgOBQLlcrlarLLUG 0tdBRB2NRk/1A7kBtazesWrvAJNlWcgiwmRKb3yxWCA907sB6+vrhUIBOlVsujFyAnBT0Wh0MBj0er1W qxUKhSC3AUGfXC4nSdKNGzfou2CppgFN05rN5snJSbPZRMyFENJut9k3gugkfi4UCtmXH0VR0Anr9bqj 5yAWi6mquowTKxgMFovFUqmETu5YAL9YLBp3AT4Seg4eKeXDbbfbXOmspmlQWWN3qKurq/F4HDWWhBCw YdLz4SaczWbULcFWdc3nc13XDw4O4Cfr9/ubm5uOyUCQKrXfMqI/5G6tNVi9uTYjfWQ8Hl+/fh2F6PTT U9NowBbIukwQBykUChDx4VJnAIgko5Lfcdrv9XrBYLBSqbwa6h1Mm4FA4NatW+jDqqpSgw+MooSZ2ejk g/eIpGkUE7AUzzgNSb4sGZqu6xcvXkScDqFVj0S0YDDomMmLAnvDMECaQLsNi/F4zNLebG5u4hxEbym5 HPtb970+1i+LdYAH5aLbItHr9ewfnWplu012hmG0Wi0okU6nU7sfAkFQCCiwn4LUdjgcXr582S32yXk+ qXPSQ126VCo5+kLokEskEuPxmF5W0zSPebxUKg2HQ3ZGSCQSuVzOTclFVdVTbcplcgvy+Tw04aCG6iaY smQYBXoc2HKl0+loNEprN7LZLByV7N6FriXr6+uIBQQCgeWlZKLRKPjsQcXmeA4WifF4vLxWFmih6QW9 XeKJRKJcLmMjRWe9aDQKnx/Wtq2trVAo1Gw26XA4ODjA0kUICQQCYB/xbhU7cFqtFgiYJUni+jO2Ys1m s1Qq2esPB4OBnaSOAqZtLBYLhUKY+lF6IIqifXMJtlO6iCYSCTpSOB810O124/H49va2rutsUjMyJxwL XlCJQMdmuVzmvClscQf1+bPvi+u3XKvwjuAkZ89UVdWRcY512LiNvv39fTeqiWVyqvb397nlp9frVavV XC4H4lSuGIrerLdftl6vz+dz6P9BSA8Wtv1Mj9xVjisFAiVcMygSiUQ+n+/1erS/TafTF198cWNjI5/P U+thfX09HA5DRpH1VyWTSUmS2DRBD8o1R5bq4XBIfxreL3KX/wlGDBrP3SyKlfB/ysF/+/Zt2rdfvWL5 fcHrohEPFN7Cvo6SEx671UwmAxf9vTYDw8/xi2CScCR7Abrdrttd6Lq+vr5+cnKCeQQKqKFQyC1eg6wi 76Zy6XhQyrCvK6lUKp/PY8srCAKdOPr9viRJbmNsNBq5Vf14gCvPSaVSg8EAVTmWZbGMOmcGfcKsdCS5 Kw/mZrbSFahQKFy5cuXo6Mijv8HtD3Fd/IRjCRxAY2SpVGrJKl9yL9NKv9+Hm50F5xHp9/tsaYkj7pVB GbQEHhl8x8fHdIEMBAKhUIgjkbPDMAyQlV24cIELUUmS1Gg0uA09u8ywXdFtKz8ajZA6wx5Ewbmqqo5j jc4hxWIR9hzKVqF0k06n4fhJJBKlUgnFEZyErLcQPHEypsGDfHBwwN5vJpNh1RAjkYjj6EOm5DL9B1QW 9gHOmTLspdyqfJeBx4CiKJfL3FtgZwyOL5UTXORmNo7DlKLVatVqtUuXLoEBBWR33B4D8lJgcqIHaVqM /ZqlUsl+kF2PoGOMDGvcYKvVWl9fV1WVNSJhatsvVSgUKC/+MkXRrwHOv8GRy+U8eKZnsxnHmeMRDFZV tVgstlqtU5Wx7JBleXd31+1bmOjd5jtvl2YgELAHdO24fPny8fExvMTLNpoQ8soMGBZUoozYkuA8or+x WCybzSLJ3LIsNP5Uzz97gxsbG5QW4sxkDB7gVtAliTvB9LcMTTJKSd3OsdPkK4pSqVRASsYmY8IXzZ6s quo98SDNZrNgMIjkD9AccZMvUvFTqRQdQZg9UXWVSCSSyeS9Ghzz+bxer7OrKQjF2RmZ9mFUCDtex1FP ALW+7JFsNptKpQ4PD91sXHa8uHlrTNO0s5VA/LNarYL/ys0irNfrLAMeISSVSlUqlWKxSI05ztogd4Xd d3d372mRhug8N30heKRp2snJia7rkUgkn8+DEtQ+0S2TKApNmVNPw6X6/X6r1bq/gXLw0tKOgbJSREDo Oaj/Go/HiqLkcjn2MbLWgKqq6+vrg8FgPp9DZ84t7oAiWMgQhkKhaDRq92jC6iWEsBrUoVAon8+z3Rv7 jUaj8eKLLyJzmb0I6yiCbgZ5pYsL2eiSJG1vb/d6PUEQqNORQyQSeeSRRzgD6OHi/Bsc91ow6RHsn8/n S+YDInNbVVVMYYFAwB43paDmajabpcrdiqJgMcjn8yDcdPxuMplc0ltwdHS0vMQGC7fJApMOYpxLZj6i xAAUNx6TqRvpJ8B+6zUoPEkmk0tO+valURCEtbW18XhsGAYelMfXS6USqvnt0QTsYMAV7abI5c01SUFz biKRCGor6Mptn0CRTFepVC5fvjwej8PhMGJAmP5oGbkjotFoKBRy3J4Oh8O1tTUkr8iyDKuF5nAsiUQi kUqlgsEgW2zlyEMFnRSuqd1uNxKJhMNhR0WhJTEajbiKWUdw9wX9BDa5j5sZQIpDCFFV9Z6eCVVvpygW i9iuHB8f4wmA9sbDAjh1N7WkiYmpyZtKJ5vNdrvdexVVTiaT+Xy+0+mYpplOpzH5FAoFTdPo2Gm32ysr K4hHkFdKTNjLPai3wLIs1O7a66pAk7hkeVSz2WRdg9z0KIoiTf1GCaRhGPF4HD8ajUar1epoNAoEAqiB 4qJOtG2yLJ/qgCTulIYPBec/afRU2Uy3tY1NwQM8NuJcgh7ySUVRpOEDxzgoohJIrSKECIKQTCZRwAbD HIkFsGElSYJQeKlUQtIi6vW5kks3cJMIRHFP/RYhRFVVZEvYG0/uhgn7/T7ovMBoTs/JZrNs20DKKcvy tWvXHHeECH+6xZIJIVD6XqbZxD1tlmZiwiXu/fRms5kHkdSpDcALBaGc4+KRz+fhOUMxtqZpXJsXiwUE wQ8PD/ERcvuRKENPQ4bQqU3a2tpCIQl1Wnjf2mw2g8kbDofhJEeNn/1MLr91Z2cHQjNgGeFOns/n+Xxe lmWko2IXSLMmT80aRrMDgQCduBFf8wgXUuYG8J0MBoN2u40E2Pl87nhH8Xjc22V1ZrRarUQiQYMOHO8C 1a8mDAlKNBrN5XKqqq6srEQiERD4siJexGmCQjEteSWHniiKHl3lVYqSYP3G1NRoNDweICjtvbufY9I0 ON2j0Sgkf+v1OiytYrHIjQhqSSCPcjabZTIZpOg6/hzqTebzOaqi6JZvZWVFlmVvTl4W4EGnf3LEqfYd BVhTw+EwLGZUv3e7Xchwsv4kMPMuw4Y3Ho/b7Tbyec/AnrcMzpA0ev4NDlEUvUOhblNbuVwulUr9fv/U uc8tdwwEhR72O1IR2VkyEAi0Wi0IiLRarWQyiVkJxbQopxYEIRQKoTIbamez2exePdv2rD0KlmxRFMVE ImGvKInH4yjPoze+WCxYqiv6dfgq6awBL71HaAnaJR45K0vfIjEMY3V1lRooWOEoe0qlUuH0091wNmuD 3BWxBKkrmM1gu7BdYm1tTVXV27dvo4jfsbcYhsGu2aZpgpsOXJM4WCwWvT1YmUxmY2MDvjeWd/xUpNPp 8XiMd41yWUeP+uXLlzGnE0KQu3p4eOio8kAIQR1vs9mEjxqlpJlMJhKJJBKJbDbrSPekqirYDvBM2LkC hOXIyuICfLPZ7KWXXsLJCE6xJSfj8djRhE0kEigtQTqeoii0q7tpwnE4tUqIpova5den02m73ZZlGR5+ mFOpVApfgXAXaqm8XzpI5cGTQX8CKR3sL6qq6lhIQu93a2srl8st40KLRqMQRoBqJvegLl68iG1Jr9db plLdceiBoAVPBtE9TD6SJBmGQe8in88jKxOBuVgsVi6XY7EYt/oiMd+yLEmSIFhIj0M4EOqsh4eHyw+Z bDbL8l6YprnMPDMYDBDZJIQcHBxgDuReyvb29pLWBhggh8MhveZ9x+uuSsUwjM997nPj8Xh1dfUjH/mI x8EHB0dv/zJEjcge8q5rAjyMpFPtAOQ5w42BI2zGye3bt0H3Wa1W3Qjj4Ld3VNPwAKhRo9EoNnzseGBn Il3XqcOZZt2HQiHo0p2aYoaViZt0vNfv8Xh869YtmmIWDofBub7kfbHeiFgslkgkNjY2wOMZj8fZV9nv 9x3T7u6j7CTQaDTi8fjJyYnd8KXO1XvdSS8WC4QDMObD4TCkI3E1e8Y+W4XvkdnqmFHPctW0Wq2VlRWq X8++F9QPwydnl51zvAU2f+Lw8LBaraLC+c6dO45jam1tzc1GpOezBDYAO6CwONE/HRmyL1y4gLIjQoii KKurq7CcCCG5XA4+/JdeeslxAmGfvHc/Hw6HVN7T8UzDMI6OjorFop0Z2bIsqowD/R2PH4L3dGVlBcW9 sViM1ZcmhBSLxfF47DaJxWKxUqmEWdRDVSqVSiFVArWag8HA0Z6AOuOZJQso2u12sVjkXh/n653NZrFY zDTNvb09DD3UcrPXYSUP6W1ygDNsmdxVAAkloM3FkVAo5J1KSNHtdovFIrhe7J+6kVnbszTYUQwyutdJ YOXBejiefvppQsjHP/7xL37xi+vr67CzHA9S3HcPBzv3wVUrSRIWbzcTGxY9zpFl+Z7c+PeK+Xzebreb zSb1p7FeQVoRjpBeo9Ho9Xrwks3n84ODg/39fRjvp2by24GcQWw4FovFqfa7aZqVSmUwGBiGgX9zudy9 Olei0WihUDjVgNA0Dezg4DZe/vqEEEVRZFkOhULxeDwUCsmyDCITQkir1aLrhCAIpmlyfeBB8IONx2Nu nQNCoRD4MzwWDLfdTLvdBlWGoii0BgEc8/l8Pp1Oo/gTDqpqtcrutzyCjFC3wmzlGJCC7hpkYjihsmQy eXBwcHJysmScm6sswKNAXa7jWh6JRNLpdDAY9M56psLlFGwyLxc/XV1d1XWdfhqPx+EEYh97v9+njMCT yQQ5mCwlAwWEW1npY492mqYJQjNwNsRiMTfObzgOFUVBwxaLBcuQbRhGrVYLBoMYv2DaYK8ABxtoGJLJ JHxUbHRA13XHWVcURXh56cIJc9BxPMJZyzJq4Ha4h9But0+dS5d0INk9N+l0mmMzU1UV3Bs4AvJQ9uU2 Gg16O6PRyG31oZw0QC6Xczxza2ur0+nouj4ej0EIi7gMuSsglc1mYXJ53BcimKxiOSrJEYN7+eWXG42G JEkY0egMh4eHk8kEaV6apoXDYcRh6TWbzaa9zOrV43Xn4bh58+alS5cIIRsbGzdv3gQbnePB1wZUYhEz GjYH9i1CrVZjTd0H5I/isL+/72bAEkJmsxmleUFPmk6n+E+/3w+Hw4VCYT6fL2+GA/1+P5vNQohhmZRS 1ihpt9vlcnl9fb3T6aBt3JN0rPcpFouKoly6dInNtoMWItf45fknOKBS9/j4eDQaHR0dQSQCH3HkZmz9 xTJw06d2PLPf73svOcsYaqA4c7QFj4+P4SZkD+IG4Wxwu6ZHvSVm5GQyiT20Wwsx+XKt6vV6S5q84XC4 VqvZ3WOj0chuicLXFY/H6R2xFY+rq6uwGqkfzj5awQhub8alS5dEUSyVSsFgUNd1mGt2C4/7rq7rkiSx awZqPlVVTSaTbnwwp8LNfwl2LEKIYRhbW1uEkMPDQ7vgXKVSqVQqHF2pG7hu6bbTANsYsnBwBKRSbruF g4ODtbU1dkDdazYoEI1Gl3H42ZfPQCBQKBSodehYu8Hd+zJrcKVSURSFmrnIohBFEUEcWiGcy+Xs7Cns SESHh8HKBafozJnP59EkyA9Np1NQmJNXOmMODw/BO9doNCjPLB19qVRqZWVlOp2yMyp8Qqfe7IPGgzU4 oHJE7hYyuR08OTn5+7//e0LIY4899pa3vOX+toGlwEqn0yw7myzL+DlETJEnEY1G7b2QKp2Su53DkSPI DYi5nnp+JBJZMrsH5BD0T8uyQNrvZnA41hDStuGuk8nkjRs32AUV/uTRaHR4eJhMJsGLTD+lufTRaBT5 EOBrRzw+kUjcvHmTW54vXLiAWYBrTCaTqVart27dYmerMyc6lUolNgowGAyoU1pRFLpTkWV5c3MT+RP2 iyBsz+3GsGHy/vVCoVAoFCKRyL//+7+fOfmDBUs3xAGOayx4y19wfX19b2/P8UYQZcP/Qem2/GW5CpFc LmeaJkYT94S3trbg6+aukEgkOCqkzc1NTlIAwjT0z2AwiAk9HA53u11wnHCOcVDBYhJgtfFoOaKHoU9s Sf6KosBgoo6inZ0dWkuZzWbddvCw89yiEghJcPXSbNX3cDgMh8N2SepCoYAFiTgRCKGHcwc9uqW9zhwv kf4pSRJN1EU2NDuj5nI5kABpmraMV9guUJXL5UqlkuNUyRISrq6u4r7YX1ksFugwIMjCAh8Oh2mDC4UC Z49WKpX5fO7R1GKxiC0xUlJAaR8MBh1HXL/fZ58GIcQwDPuZlUqFNTh2dnbS6fR0OkVyHg6KosiF0jjH FVYrxzZ3u92tra0LFy4888wz9KAoiq8HavMHa3BEo9F2u72xsdFut2nwzPHgg8OVK1euX7+OUrRKpcJ2 CPp2QXXgcREEp0GrRc0RBFnZC6JUj7orI5HI1tYW9TtNJpODgwOQ5Tl2cSyx6+vrmKDj8ThYPu0h+Wg0 qigKLZfCjKMoyubmJhzabE1ErVbL5XLw9Z2cnLC7h3Q6TecjQRAuXLhApRaQ9AA3AFX7lGUZAQJy1wan LcfwTqfTdPpDahjXbPzHPonjfNbgWF1dXV7VjF5na2uLG1fsb5XLZTrUV1ZWCCG5XM7R4IDs5507d9g3 VSgUhsOh9/REp4lYLGY/U1EU9Dr4XblfHI/HeNFsKgliXvv7+x595p4QiUQuXrxI7i480+l0f3/fNE3w atDT0un0I488wuYGwdnALpk01WZrayuZTFLDaGVlhXYPwzDYJ/wjP/Ij6CrBYJB2ddBhgcKZLg/r6+t2 ASPOL0KtHNh5brcMEno0BimNyztWUS9A/8R2v1QqxWKxyWQSj8dZSyuXywmCAFa6VCrV6/V6vR4yHCmZ OhxvhJBMJgMVX+iuEUIeffRRqsOAnTQ1nZPJJHoyW5myurrKurI4ga6NjQ37AyR3HWD2YuCVlRUMB7an cdcMhUKPPvooGN8LhYJpmnQCxL1jBhgMBm7DBN3MMIxMJoOsWGrXVqvVYrEoCMJb3/rWdrvd6XRYk/fC hQsggGcX5kwmQ0N4tJaY/TlRFB9//HFwmtk5NkKh0MWLFxFc/s53vsN9SjVoCCGRSOTUCAK0UVi1I0dR HlmWt7a2ms1mIBAoFosYdKeKq7GXops9rnNSoKuwlEWvwVK7DM5Y77ckvvnNbx4eHv7yL//yn/3Znz3x xBMY5I4HKe6JuWgZcESNVGVKkqSdnZ1Xn0pjGAal0AGFka7r6AQeYbN+v4+0jPF4DJcm+OPwKRLpqcPD NM39/X24NFDrBecYMvyhIsFdHxp1hmGg8pMen8/ne3t7CLh6lxF6YHkmGVTMLhYLJIuwLUEeNSEkk8lg LrYs6+DggJV5RJCItXKAWq2maVogEIC/t9fr9ft9URS3t7exP6PcoJDoY/3VpmlqmhYKhehSPZvNms2m ZVmJRKLZbGIBoN1yNBrB+5XL5cLhsGVZ4/EYBQitVsuyrFAoRDsty3TJEXzFYrF8Pk/nrPl8fnR0BK8s quCw94K1B6pWXddpdT65W5chimKz2cRsnkwmkXXxapTwvNFqtWDXsgl3/X4fWQWpVAoE5/TZjsdjJbQI 3AAACqhJREFU3BF7EYiBEULS6TQXO0BAhNPTgpHtFmWgKuGs8vCDA9stK5WKG8nS/cJkMul0OlQzrN1u D4fDYDBYKBSQEDAajU5OTgzDAIUX9/Vut4sFL51Ow6R2A+hhQDw6mUyQIoNXORwOsYonk0lv9w8hRNM0 LOfYn9DjtM4im82WSiVN02DqpVIpdlYE7zjLqME9jeFwiG2PY3/Qdb1er3tExJYHilcty0ISGDQgz3Ad y7KazeZ0Oo1EIplM5mxLDIhDuNVZ07R2ux0IBNhxhNQT5P5jWmB7KTKEQAZ9hmZ4g2WwXRIP1uAwDOMv //IvoeLz4Q9/+Pr160899dTHPvYx9iD3lQdtcJC74l5n60wPAmAUOPU0TdOCweCS/ebMRMIPHaZpsmsY BXb8lmUJguA4hjGX0e0OCuRCodBrkJ4NqSQQHrPH0dOg3HF/S+FphiB58O8aU8QDKuU/G0BBduYsnzMA AmAPN9XfTR7yfENV1TNkjv//DkeD41TQ2eYBtYrD687gOANeA4PjjYD/fw2OM4MzON44eAO+69fe4Hg9 wDc43jg4m8HxGuMMBsfrojbXhw8fPnz48HG+4RscPnz48OHDh48HDt/g8OHDhw8fPnw8cPgGhw8fPnz4 8OHjgcM3OHz48OHDhw8fDxy+weHDhw8fPnz4eODwDQ4fPnz48OHDxwOHb3D48OHDhw8fPh44fIPDhw8f Pnz48PHA4RscPnz48OHDh48HDt/g8OHDhw8fPnw8cPgGhw8fPnz48OHjgcM3OHz48OHDhw8fDxziw24A jyXl15dHvV4Ph8P3/bKvf7zRbtmyrIODA1VVH3ZDHgLeaO96NpuNRiNZlh92Q15TBIPBYDD4RnvXvV5P EARRfN0tVQ8agiC8ztViz4DXnTz9fccv/dIv/f7v//6b3vSmh90QHw8WjUbjF3/xF7/5zW8+7Ib4eOD4 whe+8NRTT/3FX/zFw26IjweOT3/601tbW7/2a7/2sBvi4z7AD6n48OHDhw8fPh44zr+f6j3veU86nX7Y rfDxwKEoyi/8wi887Fb4eC1QrVZ/7Md+7GG3wsdrgbe+9a2FQuFht8LH/cH5D6n48OHDhw8fPh46/JCK Dx8+fPjw4eOB4zyHVAzD+NznPjcej1dXVz/ykY887Ob4uP+4efPm+vq6IAjcu/Zf/XnCZDJ58sknJ5OJ KIq//du/LYqi/67PJbrd7p//+Z9blpXNZn/rt37LNE3/RZ8znGcPxzPPPFOpVP7gD/6gXq8fHBw87Ob4 uJ8wTfO55577kz/5E03TiO1d+6/+POGZZ55505ve9JnPfGZnZ+frX/+6/67PK5566qn3vve9n/3sZxeL xa1bt/wXff5wng2OmzdvbmxsEEI2NjZu3rz5sJvj435iPp9fv36dchJw79p/9ecJlUoFKaKqqkqS5L/r 84qf+Zmfefzxx9vt9ng8zmQy/os+fzjPBsdoNMpms4SQTCYzGo0ednN83E8oivKBD3wgn8/jT+5d+6/+ PGFnZyeVSn3rW996+umn3/a2t/nv+rwilUpZlvW5z30uEAhEIhH/RZ8/nGeDIxqNttttQki73Y5Gow+7 OT4eILh37b/6c4Z/+Id/+MY3vvG7v/u7iqL47/q8otVqhUKhz372sxcvXvy3f/s3/0WfP5xng2N7e/v2 7duEkN3d3e3t7YfdHB8PENy79l/9ecLTTz89HA4/8YlPRCIR4r/r84t//Md//P73v08Imc1mgUDAf9Hn D+eZh8MwjL/8y7/UNK1QKHz4wx9+2M3xcf/xe7/3e7/zO78jyzL3rv1Xf57w13/919euXYO18bM/+7Pv eMc7/Hd9LlGv15988klJkmKx2Cc/+UlCiP+izxnOs8Hhw4cPHz58+Hid4DyHVHz48OHDhw8frxP4BocP Hz58+PDh44HDNzh8+PDhw4cPHw8cvsHhw4cPHz58+Hjg8A0OHz7eoDg5OcnlcuyRWCwGqgMPfOlLX/rQ hz706n/9ox/96GQyYY/86Z/+6ZNPPnmv1/m7v/u7p5566tW3x4cPHw8a51m8zYcPH/cXmqb9+I//+Jve 9KZXeZ1vfetbuVwOla6vEr/6q7/6gQ984D3veU8gEHj1V/Phw8eDg+/h8OHDB49Pf/rTW1tb29vbf/RH f0QI+dd//dePfOQjH/jAB5588slnnnnmU5/61Oc///m3vOUtb3nLWzY2Ni5evGj/yje/+c33v//973rX u7a3tz/4wQ+Ox2P2+n/8x3/80Y9+lBCi6/rHP/7xtbW1t7/97c8++yw+/eQnP7m+vn7lypVPfOITlmX9 5m/+5uc//3lCiGEYtVrt1q1bP//zP1+tVre3t7/85S+HQqFHH330S1/60mv8iHz48HGv8D0cPny8cdHp dKrVKv0TZsE///M/f/GLX3z22Wcty/qpn/qpt7/97bIs/9M//dO3vvWt9fX1r3zlK4SQJ5544oknnjAM 4z3vec/HPvYx+1dUVf3CF75w48aNWq320z/901/5ylfe//730x+6du0afvdv//Zvb968ef369W63+9hj j73tbW+7c+fOtWvXbty4YVnW1atXP/axj/3Kr/zKX/3VXz3xxBNf/vKXH3vssaeeeiqTyezv73/1q1/9 whe+8O53v/vNb37z008//d73vvc1f34+fPi4B/geDh8+3rhIp9P7DCBR8S//8i+//uu/HolEotHohz70 oa9+9auEkMcff3x9fZ37+qc+9am3vvWtH/zgBx2/8o53vGN9/f+1d/8g6YRhHMAfrz94/ZEmWy2wQAqR oCWFbDs7IpAitbATXdwlGqrFQUcdshAXFcEmp6CpIoUQPElcBGeXBlNBBRF/gyBkBUFev4bvZ3qPe5/3 3rvp4X3fe98FhmF0Ol2r1RpEvb6+KhSKfvn+/t7tdk9OTs7Pz+/t7RGRSqW6urpKpVJnZ2eVSqXdbm9t bYmiWK/X4/H48fGxwWBIp9Mej6fb7fr9fiJaWloajI4AwJ+FhAMAhg3WQ8hksm63S0Szs7NDdZLJZC6X 8/l8X4X0z/b8qFarzczM9MsMwwwCO50OET09PXEcV61WBUFYX18norGxMZ7nE4lEJpPhOG5lZaVQKGi1 2svLy+3t7X7f3t7eRvbyACANJBwA8M7m5mY0Gm23281mMxaLGY3Gj3WKxeL5+XkymRwfH/9myMDi4mKl Uhk86/r6utPpVKvVVCpFRA8PDyaTyeVyTU9Pi6LYz10ODg5OTk52d3cnJiYuLi78fr/Vag0EAul0utfr lcvl1dXV0X8IABgprOEAgHdMJlM2m9VqtURks9k4jnt8fByq4/V6G40Gz/P9y+fn56GQTCbzVfsMwygU ilarxbKsIAiiKC4vLyuVyv39fSI6PDw0m81ra2sajebo6Oj09PTu7k6v1zMMY7fbicjhcFgslkgkMjU1 FQqFZDJZqVT6+Y8zACA1HN4GAL8tHA7L5fLv7+eRz+edTmcul/v07s7OTjQanZubG10HAWD0MKUCAL9N EITb29tvVr65uTGbzcFg8NO72Wx2Y2MD2QbA34cRDgD4DwqFglqtZln2h+28vLyo1eqR7CEGAJJCwgEA AACSw5QKAAAASA4JBwAAAEgOCQcAAABIDgkHAAAASO4fm9WlFCETOuYAAAAASUVORK5CYII=\n" "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtAAAAGwCAIAAAAPKcUMAAAACXBIWXMAAAsS AAALEgHS3X78AAAgAElEQVR4nOydWahs2V3/155qnqczT/eec+eERPKQ1jQohAxIHhIDvvjQLyoSBYMm iGQQgyj2WxMfNEIQlAgKigohov5DJCYYA8aku2/37e47nLHmYe+a9/B/+Jnlyq7h1DmndlWdW9/P0z51 ali7au+1vus3So7jMAAAAAAAL5HnPQAAAAAAPP9AcAAAAADAcyA4AAAAAOA5EBwAAAAA8Bx13gNw0+12 TdOc7nv6fL5erzfd91xwJEmSJMm27XkPZKaoqmrb9rKdtaIolmXNexQzRVEUSZKmPlEsOEv4Q0uSpGka Zu8FJBwOX+JVCyc4er1et9ud4hvKshwOh+v1+hTfc/FRFEXTtE6nM++BzJR4PN7tdpdtegqHw+12e96j mCnBYFBV1WU761Ao1Ol0liqvUJblYDC4bLO3qqqKokx3HZw6lxMccKkAAAAAwHMgOAAAAADgORAcAAAA APAcCA4AAAAAeA4EBwAAAAA8B4IDAAAAAJ4DwQEAAAAAz4HgAAAAAIDnQHAAAAAAwHMgOAAAAADgORAc AAAAAPAcCA4AAAAAeA4EBwAAAAA8B4IDAAAAAJ6zcO3pAVhATk9PS6USY2x3dzcajc57OAAAcP2AhQOA c6jX66Q2GGNPnjxxHGe+4wEAgOsIBAcA59Dv98U/bdue10gAAOD6AsEBwDlEIhF+HIvFFEWZ42AAAOCa ghgOAM4hEAjcvHmzXq8ripJOp+c9HAAAuJZAcABwPqFQKBQKzXsUAABwjYFLBQAAAACeA8EBAAAAAM+B 4AAAAACA50BwAAAAAMBzIDgAAAAA4DkQHAAAAADwHAgOAAAAAHgOBAcAAAAAPAeCAwAAAACeA8EBAAAA AM+B4AAAAACA50BwAAAAAMBzIDgAAAAA4DkQHAAAAADwHAgOAAAAAHgOBAcAAAAAPAeCAwAAAACeA8EB AAAAAM+B4AAAAACA50BwAAAAAMBzIDgAAAAA4DkQHAAAAADwHAgOAAAAAHgOBAcAAAAAPEf19N1N03zl lVcMw9je3n7ppZfoQcdxvvKVrxQKhVgs9hu/8RuSJHk6BgAAAADMHW8tHN/97ne3t7e/8IUvFIvFo6Mj evD73/9+KpX63Oc+9973vjefz3s6AAAAAAAsAt5aOB49evTCCy8wxh48ePDo0aPNzU3G2KuvvhoOh195 5ZU7d+6srq7SM1utVrVaZYz5fD5VneaoyIKiKMoU33PxkWVZluVlO2tJkpbzrJfwlJfzrBVFcRxn3gOZ HbIsM8zezxHeCo5WqxUKhRhjwWBQ13V60DCMfD7/0ksv/emf/mk2m33ve9/LGPvWt771x3/8x4yxz372 sx/+8IenPpJEIjH191x8gsHgvIcwUyRJCofD8x7FHPD7/fMewqyRJEnTtHmPYtYEAoF5D2HWSJK0nLM3 LZ3PGd4KjlAo1G63GWPtdjsSidCD4XD4hRdeyOVyL7744ttvv02C4yMf+chHPvIRxpiu6+VyeYpjkGU5 lUpN9z0XH0VRNE3rdDrzHshMicfj7Xa71+vNeyAzJRwON5vNeY9ipgSDQVVV+R5mSaDpdNksHMlkctlm b1VVFUXpdrvzHsg4MpnMJV7lbQzHwcHB66+/zhh7+PDh/v4+Pbi/v//WW28xxh4/fryysuLpAAAAAACw CHgrON7//vc/efLk5ZdfTqVSW1tbb7755pe//GV68Hd/93eLxeJP//RPezoAAAAAACwC0qIZ6HRdn64p iVwqpVJpiu+5+MClMkUsy7Jte2EjBuBSWRLgUlkSnmOXircxHABcd8rl8snJCWMsFottbW1R2DwAAICL gtkTgJE4jkNqgzHWaDQajcZ8xwMAANcXCA4ARmLbtvinZVnzGgkAAFx3IDgAGImiKGINgHg8PsfBAADA tQYxHACMY3NzMx6PW5YVi8Wey9p/AAAwGyA4ABiHJEmxWGzeowAAgGsPXCoAAAAA8BwIDgAAAAB4DgQH AAAAADwHggMAAAAAngPBAQAAAADPgeAAAAAAgOdAcAAAAADAcyA4AAAAAOA5EBwAAAAA8BwIDgAAAAB4 DgQHAAAAADwHggMAAAAAngPBAQAAAADPgeAAAAAAgOdAcAAAAADAcyA4AAAAAOA5EBwAAAAA8BwIDgAA AAB4DgQHAAAAADwHggMAAAAAngPBAQAAAADPgeAAAAAAgOdAcAAAAADAcyA4AAAAAOA5EBwAAAAA8BwI DgAAAAB4DgQHAAAAADwHggMAAAAAngPBAQAAAADPgeAAAAAAgOdAcAAAAADAcyA4AAAAAOA5EBwAAAAA 8BwIDgAAAAB4DgQHAAAAADwHggMAAAAAngPBAQAAAADPgeAAAAAAgOdAcAAAAADAcyA4AAAAAOA5EBwA AAAA8BwIDgAAAAB4DgQHAAAAADxHnfcA3KiqqqrTHJUkSYyxcDg8xfdcfCRJkmVZUZR5D2SmKIoSCAQ0 TZv3QGaKpmnLdnmrqirL8rKdtaZpNJstD5IkSZK0bD+0LMuSJE13HVwQFu6UTNPsdrtTfENZlgOBQLPZ nOJ7Lj6Komia1ul05j2QmaKqaqfT6fV68x7ITAmHw8t2eQeDQVVVl+2sQ6FQu912HGfeA5kdsiz7/f5l +6FVVVUUZbrr4NQJBoOXeBVcKgAAAADwHAgOAAAAAHgOBAcAAAAAPAeCAwAAAACeA8EBAAAAAM+B4AAA AACA5yxcWiwAC4LjOOVyudlshkKhTCazbCUQAABgukBwADCcUql0dnbGGGs0GpZlra6uzntEAABwjYFL BYDhiOWGlq2EGgAATB0IDgCGEwgE+PFzWWYYAABmCQQHAMPJ5XKpVIoxlkwm19bW5j0cAAC43mDfBsBw ZFne2NjY2NiY90AAAOB5ABYOAAAAAHgOBAcAAAAAPAeCAwAAAACeA8EBAAAAAM+B4AAAAACA50BwAAAA AMBzIDgAAAAA4DkQHAAAAADwHAgOAAAAAHgOBAcAAAAAPAeCAwAAAACeA8EBAAAAAM+B4AAAAACA50Bw AAAAAMBzIDgAAAAA4DkQHAAAAADwHAgOAAAAAHgOBAcAAAAAPAeCAwAAAACeA8EBAAAAAM+B4AAAAACA 50BwAAAAAMBzIDgAAAAA4DkQHAAAAADwHAgOAAAAAHgOBAcAAAAAPAeCAwAAAACeA8EBAAAAAM+B4AAA AACA50BwAAAAAMBzIDgAAAAA4DkQHAAAAADwHAgOAAAAAHgOBAcAAAAAPAeCAwAAAACeA8EBAAAAAM+B 4AAAAACA56ievrtpmq+88ophGNvb2y+99JL4rx/84Af/9m//9ulPf9rTAQAAAABgEfDWwvHd7353e3v7 C1/4QrFYPDo64o+3Wq2vfe1rjuN4+ukAAAAAWBC8FRyPHj168OABY+zBgwePHj3ij//FX/zFJz/5SU8/ GgAAAACLg7culVarFQqFGGPBYFDXdXrwe9/73srKyvb2tvjM//mf//mnf/onxthHPvKRe/fuTXEMkiQx xiKRyBTfc/GRJEmWZVX19vddNBRFCQaDPp9v3gOZKaqqLtvlrSiKLMvLdtaqqsryckXdSZIkSdKy/dCy LEuSpGnavAcyfbxdkEKhULvdZoy1221+0fz93/99IBD4wQ9+cHh4+I1vfOPDH/4wPXNjY4MxFgwGLcua 4hhIcEz3PRcfumSX7awdx7Esa9nOWlGUZTtlWZbpt573QGaKoii2bS+VJ3o5Z2/HcWRZfi7P2lvBcXBw 8Prrr9++ffvhw4fch/IHf/AHjLFCofCXf/mXpDYYY/v7+/v7+4wxXddJo0wLWZa57lkeFEXRNK3T6cx7 IDPF5/P1er1erzfvgcwUWZaX7fJmjKmqumxnLUlSu91eKsEhy3IwGFy2H1pVVUVRut3uvAcyjnA4fIlX eWuge//73//kyZOXX345lUptbW29+eabX/7ylz39RAAAAAAsINKi6WVd16er7GRZTqVSpVJpiu+5+Cyn hSMej7fb7WWzcITD4WazOe9RzJRgMKiqKg8LWxLIUrtoM7anyLKcTCbL5fK8BzJTroWFI5PJXOJVyxVU CMBc6Pf7NGmmUqlli2kFAAACggMAb3Ec5+HDh3RcLBbv3r27bNlDAADAUNocAK9xhbwtWwQcAAAQEBwA eIsrn/65TK8HAIBzgeAAwFs0Tdva2qLj9fX1QCAw3/EAAMBcgC8ZAM9JJBKJRGLeowAAgHkCCwcAAAAA PAeCAwAAAACeA8EBAAAAAM+B4AAAAACA50BwAAAAAMBzIDgAAAAA4DkQHAAAAADwHAgOAAAAAHgOBAcA AAAAPAeCAwAAAACeA8EBAAAAAM+B4AAAAACA50BwAAAAeP7p9/u1Wq3b7c57IMsLusUCAAB4zjEM4/Hj x3S8tbWF7s1zARYOAAAAzzmVSoUf12q1OY5kmbmq4PjqV7/6y7/8y6Zpfuc735nKgAAAAIDpIsv/t9hJ kjTHkSwzVxIcX/ziF//mb/7m29/+tiRJn//85z//+c9Pa1gALCCdTqdWq/X7/XkPBABwMTKZzNBjMEuu FMPx13/919///vc//vGPK4ry9a9//eDg4Etf+tK0RgbAQlGtVo+Ojuh4b28vEonMdzwAgMkJBAL379/v 9Xo+n0+0doBZcqXvvdfr8d1ep9MJBALTGBIAi0i9XufHoj8YAHAtkGU5EAhAbcyRK331n/rUpz70oQ89 fvz45ZdffvHFF3/t135tWsMCYNEQ/b6YswAA4KJcyaXy27/92z/1Uz/1zW9+07KsP//zP3/f+943rWEB sGhkMplGo0HH2Wx2voMBAIBrx5UER6/Xe+ONNx4+fGjbdjQaffe73+3z+aY1MgAWinA4fP/+/X6/7/P5 EOUOAJgl/X7/7OzMtu1YLJZMJuc9nEtyJcHx67/+6/V6/ROf+ESn0/mrv/qrH/zgB3/2Z382rZEBsGjI suz3+6fyVpZlnZyc1Gq1eDy+uroKpQ4AGMPx8bGu64yxRqOhado1DVq/kuB4++23//Vf/5WOf+mXfunW rVvTGBIAzz/FYpGqD9XrdUmStra25j0iAMCC4jgOqQ2i2WxeU8Fxpdi3dDrdarXouFqtrq6uTmNIADz/ 9Ho9fmxZ1hxHAgBYcCRJEhVGMBic42CuwpUsHKurqzdv3vzgBz/Y7/f/5V/+5QMf+ADV/kI1DgDGE4lE eJ4t8skBAOPZ2NigGI5oNBqLxeY9nEtyJcFx//79+/fv0/HP/dzPTWM8ACwFqVRKkiTDMEKhUCqVmvdw loJ+v2/b9rSicACYJT6fb3t7e96juCpXEhy/8iu/8uabb3Y6HcaYrutf+tKXvvGNb0xpYAA85ySTyesb bX7tOD09LZVKjLFEIrG5uYk8IwBmz5UEx6/+6q9+85vfPDs7e8973vPw4cNPfepT0xoWAABMi36/T2qD MVar1ZLJ5DWNuQPgWnMlwfGP//iPz549+9KXvvShD31oe3v7t37rt6Y1LAAAmBa2bYt/Oo4zr5EAsMxc KUuF6i0+ePDgP//zP7e3tx8/fjylUQEAwNTw+/08zi4ajcK8AcBcuJKF46Mf/ejHPvaxr371qx/84AcL hQJ6/gIAFpPt7W3DMKhQIwI4AJgLVxIcf/RHf/Taa6+tra195Stf+dd//dc/+ZM/mdawAABgikiSFI1G 5z0KcI2xLMswDE3TQqHQvMcyEtM0C4VCv98Ph8MLaAK4ai+Vp0+f/vd//zdj7MaNG//1X/918+bNKQ0M AAAAWAj6/f7Dhw/pOJ1Or6+vz3c8ozg+PqYek1QBPR6Pz3tEP8GVBMfHP/7xUCjEqzLLsvyLv/iL0xgV AABMH8dxer2eqqqKosx7LODaUC6XT05OxD/X1tYW0zHHO1ozxlqt1nMlOHw+39/+7d9OaygAAOAdpmke Hh4ahsEY297eXrS5GCwmtm2LamPBicViXHOUSiWfz5dOp+c7JJErZakcHBx8/etf7/V61o+Z1rAAAM89 7Xb76dOnT548oT52XlOpVEhtMMaePXs2g08EzwGunGrG2Pr6+mKaNxhj6+vrYqzSyclJv9+f43hcXMnC wRj7xCc+IUamHB4eXvENlwTDMEqlkuM4iUQC5SbBEuI4zltvvUXHuq77/X6vW1Kh/Aa4BKqqimaDg4OD GTQ/sm272Wxqmubz+S70Qk3T0um02FrWNE1N06Y9wEtyJcHxne98p1wuL3LI7mJi2zavWWIYRjAYRPsu sGyYpin+2el0vBYc8Xi8UCjQcS6X8/SzwPPE9vZ2vV63LCsej6vqVXfp59Lv93/0ox/R8dra2kWTTcQV ORKJLNTicqXv7tatW4i9ugQuG1e3212oawKAGeCauGewbwkEAnfu3Gk2mz6fD9skMDmSJCUSiZl9XD6f 58enp6cXFRyKoty9e7darUqSlEwmF8r7cyXBUalUNjc3X3jhBS47/u7v/m4ao3rOcVnJvN7YAbCASJJ0 cHBQLBZt204mk7Np4qpp2ixXDgAuQbvdvuI7qKpKdcAXjSsJjs985jOf+cxnpjWU5UGSpFu3bhUKBcdx 0un0Rb10ADwfBAIBnlQPACAikQiPbn7OuJLg+Jmf+ZlpjWPZ8Pv9mGoBAABwDMNotVqmaQYCgU6nwxjb 3d2d96CmiefxLxdFkqTp+pzo3RbKjzUDlvOsmQfXz7VgCU+ZLd9ZL+G1vVTzWKlUchX8uHfv3gxiVGfJ wp2MoijTjaCki3XZojJlWZZleUluVI4sy5qmyfKVqstcO1RVXbbLm37lZTtrVVVnE+myOJDGWpIfutVq uR7p9XrPWWfjhRMcpml2u90pvqEsy6FQ6OphOF5g23a73b5EsvW5KIqiaRoZ5ZYHn8/X6/V6vd68BzJT ZFlezMvbU1RVXbazliSp0+ksVTURWZaDweCS/NCDFcYcx1nYcw+Hw5d41cIJjuVB7AZ0iWRrAAAAzw0r Kyu2bfNw0Ww2+/wlb0NwzI1qtcqPL5FsDQAA4LkhEAjs7e3Ztu3z+WRZfi4ttRAcAAAAwEJAIWgUftds Nvv9figUem5KJ0BwzI1kMskryq2trc13MAAAABaHYrF4dnZGx/v7+89HfUgIjrmhadr9+/ep0PKyBZ8D AAAYA1cbjLFqtXoJwdHpdJrNZiAQuFyApxdAcMwTWZbFVsIAAAAA+8l6o5dI9dd1/cmTJ3S8OEkJEBwA AHAOnU7n7OxM1/V0Or22trZsFW6A15ADJRqN5nK5WCzGGMtkMiQ4IpHIJeSCmJRgGAYEBwAAXA9OT09p 9i+Xy4FAIJVKzXtE4PlB13VyoOi6ruv6e97zHsZYNBq9f/9+v9/3+XyXELhiidLF0cfLVZMRAAAugdhM a7qVCQFwZcBalkUHsiz7/f7LyYVsNsurlC5O51hYOAAA4BwSiUStVqNjxF1dIzqdTj6fbzQa2Wx2ZWVl cfb6ImJQZyQSmUr/FE3T9vb2+v2+qqqLc9YQHAAAcA4bGxuBQKDb7cbj8eesvcXzDfeFFYtFv9+fTCbn PaIhUMmvarWqqup0rRGapk3x3a4OBMciUq/Xq9WqJEkrKytL0rgIgEVGlmVaCRzHcRxncbaMYDyiL2yR e0tFIpFlELIQHAtHp9N59uwZHTcajQcPHmB2A2AROD09LZVKbJHyDMF44vF4vV6nY/jC5g4Ex8Lhag9I UcrzGgwAzxmO41QqlW63G41GL7QCtVotUhuMsdPT00QiMRVfO/CUjY0Nv9/f6/XgC1sEcMMsHK4OgYvm hAPgWnNyclKpVBhj5XJ5b29v8kXINE3XnxAci4+iKCsrK/MehYf0ej1FURRFYYw1Go1Go+Hz+TKZzCVq hc0A3DALh9/v397erlarsizncjn4U8BzSbPZbLVaoVBoxnWXSW0QjUZjcsEhjjMajaIdAZgKnU6nUChY lhWLxdLp9OQvdBzn2bNnjUaDMba5uamq6tOnT+lfvV5vc3PTk+FeDQiORSQej8fj8XmPAiwolmVVKhXL shKJxDWNKa7VaoeHh3S8ubk5y9yBaDSq6zod075wQhRFuXv3bq1WkyQpmUxiJwCmwqNHj+jAMIwxfU8s y3JdrtVqldQGY+zo6EgUK9VqFYIDADCOwTllKIeHh7RkFovF27dvL05npsnhNS0YY/V6fZaCY3V11XEc Sl4oFAqO46yurk74WlVVESsKpojLT9dutwdvZ8uynj17RlfszZs3uc/dtm3xac1mkx8vbHjsIrp5wCS0 2+16ve66XsE1pdPpPH78+LXXXnv8+LGr7KALKn7M/+RbnEWj2+2OyUIUddWFzAxXJxAIiE79YrE4/gtn jBmGQfkpjuN4PDqwXKiqKioMVwAfUSwWeXJvoVDgj1PLFQ6/3SKRyOQaesbAwnEtKRQK+Xyejm/dugV3 8nUnn8/TnGIYRqFQGGUOrdfrPGWaWMwMppOTk3K5zBiLxWLb29uD3odcLmeapmEYkUgkl8vNeHiurSGv JD0Usetmt9vd2NjwbmDAIyqVCknzdDq9OLv/fr9/fHzcbDZVVQ0EAul0eqjg6Pf7/FjcbPh8vrt37+q6 blnW6ekpfzydTi+spxWC41rC1QZjrFqtLqyeBRMibp3HrH+iJ4IxlslkXLucmdHtdvP5vG3b4XDYVRux 1+uR2mCMNRqNZrM5GJjp9/v39vYmdCFNnXA4zHt/R6PR8bOzOMVXKhUIjmtHt9s9Pj6mY13X7927N5er bpBCoUBXl2masiyPupfFsvqujBtVVZPJpEtwLKzaYBAcLnq9nm3bl+6XMxeu0VDBKGKxGF/YEonEqKeJ qW6xWGxtbc3zkY3g5OSEFmxd130+nxjj7PI7jHFDzGvelyRpZ2en0WhIkhSLxcbfQWJe+uJsjsHkuFx7 /X5/QQSHuLUYc5tEo9H9/X0KKR28AqmuTDQaNU1T07RUKrWYVk8CguP/4H6KUXbgxWFra4uC/CORyIUy qcAVabVaxWLRcZxUKjVF60IqlfL7/a1WKxwODzWrEqurq9wTMcfqAjzokuh0OqLg8Pv9fE+2sAWbZVke I+xEMplMt9utVquL7BoHY3DdUIvjgI7FYrwK6qjbpN1ul0olSZIymcxQ08XZ2RmvR5dKpRZcE0Nw/C+W ZXE/BZVPWeTE1EQiEY1GW61Ws9msVCrpdHpBNPvzjW3bb7/9Nh3run779u0pbibC4fC5+SbUAXJenggO GQZ4vOrgsLe2tlKplOM44XB4kYX7eNrtdqfTiUQim5ubU0ky7Ha7hULBtu1kMjkvX9gSomnazZs3y+Wy oiiZTGZxLkgqVttsNoPB4NDrwbKst956i46r1epQZxBXG4wxXddTqZR3A746EBz/i8ui5Qor8w7btkul EhVannDLRTiOw2PZms3mzs7OYpaWe55wpTO02+25WC8XQVxubGxomtbv90dVjL6Oyboi5XL55OSEjsVc xKvw5ptv0kGj0djf3w8Gg1d/TzAJoVBoKr/gUHRdp2py2Wz2op8y3gTYarXEPzudzuBtJTaLWRzjzSgg OP4Xir6pVqv058z2HycnJ/ShVFBocrOKeC0ahtHtdjF/eY1LXiznF+44DlUHpyCSRXYYXwVXrOjVlytX Bjvta6/4nmDu9Ho9vvFrNBrTjUh1CYihemJtbc1xnEajkUwmZ5/wdVEgOP4PqnhommY0Gp2ZtYBLHMaY ruuDgsM0Tdu2B6d11yNouTIDZFne39+nVPgFD87yjlKpRPs5Crrc3t6e1jtblkWRH/F4fKHalExlNnCt Q95tuMEscUWkdrvdCX9ZMqFFo9Ex0WA+n4/aXDDG0un00JtC07SdnZ2LD3w+LNBdvQjM3g4s+sIHY4JK pRLlOw3GsVL9Ioo72djYWKgJ+jkmGAxeo9vbC7rdLj/mttyrY9s2L6fYaDTm7iJMp9PcyOHK+70ckiQd HBzk83nHceLxOATHNcW2bcoHodnYZaaa0KnR6XTIYUd1/MbYRZ6zNhdYpeYMZTY2Go10Ou2K97Ftm2dX NxoNXdddQjiXy2Wz2cWJgQLLQDQa5Wa5KUaodTodnvliGEaz2ZxvvH00Gr1//36v1/P5fNOSPoFAYMnV 6nWn1WpR2HgkEtnY2PD5fJqm7e7u8hiOCf0pompnjJmmuQiBWTMAgmPO+Hy+nZ0dsmSUy+X19XWe5uqK Yx1aDwpqA8yYeDy+tbWl67rf759iYxGXiW4RXISyLC9yDSUwe4rFIh0YhlEqldbX1xlj0Wh0jDi2bbvZ bGqaJl5Lon0rEolc4mrvdDpkLUskEolEotFolMtligKcZWeiiwLBMX+63S63ZJBXj4IDFEURa8whjw4s CDTHTfc9fT7f6urq2dkZYyyXy2GlBwvIhBWBOf1+/+HDh3Scy+V47RxN0w4ODsrlsizL6XT6oiY0x3F4 j1ld1xVF4Y3pdV0PhUILm64CwTF/XMmWpmnyaMTNzc14PG5ZViwWWxKbmxc4jgNT0OKTzWYzmYzjOEjw BotJNBrlkT2TGBLEXgSFQiGXy0mSRMaJRqORzWZXVlYuMTW5Mp7EKnyMsW63C8ExTyhryHGcWaafTI4r fEzc21GFJfG/tm0fHR3V63WqNXldQs9s265Wq7ZtJxKJGVvLeQHZjY2NBa+KMxUajQZ5lBeqT9WESJIE aXhRaNuN720GpNPpYDBITeQnMcIN/VFOT09JIhSLxUAgcAljocv/GIvFxPJfi7woLIXgePXVV8n3FolE 5h79PoiiKHfu3KlUKpIkpVKp8cMrl8uUGkCX7N7e3oxGeTWePXtGO4Ozs7O7d+/OLKem3W7zArLHx8ex WOz5Tufp9/uicXVx+lQBjzg9PaXFRgz/At5xoRpiiURC13Waq9fX10l/uNoCDL7Ktu1R8tG2bVmWJUm6 detWoVCwLCuVSoXD4du3b5dKJdu2M5nMIk9xizuyadHr9cRIH8MwFjAYQtO0CVtjiBbtHVEAACAASURB VK2KXZa0haXX64lllAzDmHoEwCjEr4sxZprmIt+NV+fSVQHmS6fToW1fLBbb3NyESJqQVqvFt7YnJyeL Vr9kkbFtu1wudzqdUCiUSqU8sg+pqrq7u9tqtUzTNE2TnB1ibdDBQgy8FEI6naagVELXdaowRlHbfr9/ a2uL/9fn84lP5mbOTCazUM2Mnv+r03UlXXfDYzwe572/r8uGxrV+zHJOdEWDP/elui5XFWDu5PN5XoGj VCrNsS/d9WJCPe04DpWOmMGQdF3v9XqxWGxmnlOSDq1WKxQKTd4qpVAo0Ea0Vqs5jjPFfCtOo9Egc2Mk EuGbwxs3bmxsbPj9fvqWXE5P0zR5AkG5XI7H41yR8Hqm5E8f4x3u9XoLa+Z8/gUHFWKjHyCRSCyU3Juc Xq93dnZWr9eTyeTe3l6z2fT5fDOzE1wRRVHW19ep0M2MFbeqqrdv365Wq7IsJ5PJRfOmTR1VVW/evEm7 3smrAswdXvuODcRQz55ms2nbdiQSWfzNiXgrRSKRofrSMIzHjx/TE7a2tjyV+9y/c3JycnBwcIlUo06n 02w2Q6HQ5HXfuXSgQL0Jy3uLtsBmszl1wWHbNl/1RVN0pVLZ2toaJaldmS/8T1eJBFfQqItFNnM+/4KD MXbjxo1gMOg4zvXd4JLaYIxVq1VVVa9dm2xe1mz2k7jP51uqHXMoFJpiufHZkMvlqGA8Y2y+dRWfPXtG NxrZqBc86lZRlLt371IbpmQySTeX4zjlcpkCG5PJpKt0hKdThxi6WK/XLyo46vX6s2fP6JgaTUzyKnF9 dXU7Yz+uqTU47YjCywtDYLvdHvr4eMHn8/lEcwg3b0iSNHmJBJdWW6gM86UQHGwx6ghdBbGGtKtK3aUx TbNYLFqWNRvDj+uedxwnn893Oh1FUVZXV6/7DwSuQi6X8/v97XY7Go3O0QZpmia/0agpVyaToVrAC4uq qq7deT6f584C27bF7fUkpSOmxSWsiWISKVlzJ3mVuI0Uj03TPDo6ouixvb0913W1urpq2zZ9ylRK14vw eAsXkUhkvClFkqSdnR0y+EUiEdu2O51OMBiUZXl1dTUSiZimGYvFxiskTdNu3LhBdcCy2exCmXWXRXBc dzKZDN89TCvold+N1Wr1cvbPq1CpVPjey7ZtlHxeKOr1eq1Wk2WZpIDXH0cbOO4itCyLQvG9/lwXg7tS Mgksvm9FxOUs4B2XGGNeO2G585p6kl305eLSOPl3vrKyQln3yWRStGWWy2Ueq14sFl2CQ1VV7wyBFLBJ +P3+nZ0dTdMsy1JVdfx5OY7T7/dTqZSmafl8/vDwkB4PhUJkvNnc3JzETh8Oh2ffF2wSIDiuB2QD6HQ6 ZCa9+htaluXKHJmx4BAnd9GFvziYpinL8kLtD2ZDq9Xilm3TNGeZem1Z1uHhIV2ZN27cmOWk6TjOKDP4 9UI02vt8vlwuFwqFut3uqCCPKRKLxR48eHDpANVcLseNHJO7QRVF2dzc3NzcdD0umnO8SOijC8bn8433 kvj9fvraz51Jms3mO++8Q8cPHjzgaoMJrqKjo6Narba9vX1dwrNcQHBcDyRJmm5Yk+vqn306Qzgc5j3A 5lv8nwfkZjKZlZUV+maOj49pm7K6ujp1i+uCIzrCDcOYZS6xuCstFAqz1DrFYpFbAkRGlaltt9umaYbD 4alIUkqbnEqjONFZQBGUkUhkZo4qSZIu7R71+/2kV861BExCIpHgCX1Tv4XFmuWD4SbZbJZvoib/aDEC hueqDGIYRrVa9SKtZgZAcCwjjuOUSqVwOEyp4SsrK7MPjksmk+Rg9vv9813RT09PaXYolUqqqmazWcMw uFH07OwslUpd0/3E5XAFnU1y7pZlTeUrEsPvZ1xmZjDekDE2NLOp1+sdHx/z4V29kB0PlrxoIonjOGSo Fx/kzgLHcagl5MyqEvNmqslkcmNj4xKi4Sp6xUUoFDo4OKjX681ms9PpUGXxqbwz+0mnydHRkUtwhEKh e/fuUdWNye8LMRXFtu2NjY3j4+Ohz7Rt++JDXgggOJaRUqlEXbIYY5lMZor34YVIp9OLUEpEdOhQQO5g ctq5s4bjOLqu9/t93nvv+hIOhzc3N+v1uiRJ50Yw9Pv9o6MjwzAikcja2toVHXOe7krHI65ziUTC7/dr mjYY9MCzTDn1ev2KlzF3YF0okYSXeYhGo1tbW3SJ9vv9Wq2mqiolNdCXSQUP3/Wud11lkJNAaoMxVq1W A4HA3HfhgUDg7Oys2WwyxnRdn2IpAVee6iCKolxU4cXjcW7ey2azfr8/HA73er1gMGhZ1snJCde4i9wP djwQHMuIuJmbVs7L9SWZTHLnDgUNiPbnaDTa6/Xa7XYkEhkjO05OTsRNz+7u7oJnVI4nmUxOOKmdnZ3R PGgYRj6fv2LwL+1KaW2YZX5so9Ho9/uapvX7/WQyubq6OsrMIP7KxHRDSs9dyThicadKpZLNZnu93htv vMEfdPlJZ9zCcHytiNnQ6XTESLV2uz0twZFKpXjMuyuPSdd1Kl6QzWYvZK1JJpPBYLDT6UQikXA4TAYS +hFVVd3b26OKpeFw+PoaXCE4lpFAIMC39aiFvL6+TgG50WiUVlkqb1Cv1xVFEXe0o2r2OY7jWoeePHny 4MGD6c7vxWKR7FI7OzuLU55ftO5OvliOIRAIzDh+udPp8MWbMTbeF+D6VzQavYowchxHjA1kl928kk1O XFzr9boo/hKJxAzUhqjd536Jcv8OZ4oxyD6f7+7du61Wy+fziZdrp9PhCbHdbpdUQr1e9/l8owoP2rZd qVRM00wkEnTxj5qTF6d+16VZ9sVmOclms5ZllcvlRCJx7WqITR1ZlgdD4lVVTafTlDTBH6zX60OT/YZO 5aZpNptNUi0rKytX9Ey3Wi3uBXv69OnilCuOx+NcvJI1SJIk27bJrzR+kWu1WsVikXoIz9FK7IreGJ9k IWZSbGxs8HJbl4P3YmSMBYPB3d3dyTcAYqo8fXuuYUcikb29vUajMVirwyM2NjaCwWC/34/FYhddHXlX 52npabGqB2Nsc3NzuhpIVdXBNyT3DWEYxhtvvMEr5zabzcFE3F6vd3h4SFdgsVikzF7xGuh0OvQrZzKZ hSrhdTkgOJYRWZbX19fFZj/PJWR46Ha7sVjsclH6rh3JmAyC7e1t7olnjEUikW63y8VKv98fn3DhOE6t VqPqkEN3zK6C31Q/cZJT8JpEIqFpWqvV8vv91WqVCthzcrncqPxGx3H4BpRihweXqNk0XncFyYrTfb/f r1Qqtm1Ho9FgMKgoCmVSdLvdqWSUiM1Q2u32hcyNa2trkUik1+vxsKFoNMrrUa6trR0fHzuOk06nZ5Zd LEnS5cJZWq0WTxF6+vTp/fv3r/7dijdIJBKZjaJ1XUvibVuv111eLTEPlqhWq6Zp7u/v05+WZT169Ij/ a3G2GZcGggM8txwfH5OBt1wuD5YanASKmiTTQiwWG2M8j8fjDx48aDabjUZDluVMJiM6WQzDGO9B5zmZ 5XJ5aJ9xcc1YtC50VGWoWq0O1lMpFArRaHToZtfl4x/s+JDP56neuXeN1+v1OmkdCpKVZTmbzfKfyXEc nvpIu8zt7e14PC5J0rT2mvF4nFspLlEpyxUnJEnS1tbWxsYGY+zVV1+lB+v1+u3btxfqghlkUE9ffcCZ TKbValGA0YRx8fwmNU2zUCj0+/14PH6hsI9QKLS+vl4oFIaGsLhmAB4fLaLrOt9OuGxvVIfp3DFYltXv 96ciiKeOt4LDNM1XXnnFMIzt7e2XXnqJHmy1Wn/4h39IwS+f/exnF+FOcBynWq22Wq1gMOhdq+JLYBhG sVikqlzRaDSTySDkYnK4O5kxpuv65Ywc2Ww2mUxaljW+VAnNEbzgQb1eF4s6RKPRc50L/NgwjMH1VdO0 g4MD6kKXTqcX5xLljErVGxU86LqSXVvDVqvFu6t41Hi9Wq0eHR3RcSQS2dzcdLkkBuuAPXv27NK5HtVq td1ua5oWiUQCgQD9gqFQ6MaNG4ZhTDGBQpZlV/suCjWYyptfBcrkchwnGo261kKXnh7l0up0Or1eb2jU JNkIqVEDXSqKouzt7Y3qpeKi3W5T+HM8Ht/c3Dw+Pib1TA6pC00d6XS61Wq5HDqMsRs3brgeGTUqfqm7 nsCnIGr/O7RaSa1WI8PqDHr1XQJvR/Pd7353e3v7k5/85Msvv3x0dETF4P7f//t/73nPe37hF37ha1/7 2re+9a0PfvCDno5hEniaaLVatSxrXmmiLhzH4eGKnR+zu7s710FdJ8Q2SD6fj9YwXdfH2PmHoqrqmPtW bNlw8+bNUCjkOI7oXgmHw+f24xAn0FGfFQgE+Pvoum5ZVjQaFV9oWVahUKAZefYZibFYzOVPIUb58iVJ un37dqFQ6HQ6kiRRngVfaVwyxYviY65Kuw8fPnRZAqbY36dcLotfTjQa3dnZodXCiyrULnkxeedVjyDn ZrFYJBdSJBLZ2dkRNQfX04qijNLT4nc4aLN5+vQp/aCnp6d3795VFIWCY2Kx2Kh1vdvtUqcSn8+Xz+dp rqCec6KtrtlsjhEcuq73ej1XFdeVlRXTNA3D0DQtFAplMpmhd0E2m+W6JJVKVSqVaDTKV59SqSSW/6Jm Q6Zp+v1+PtrBlhTcjWsYxuHhIVnjcrncglg7vBUcjx49euGFFxhjDx48ePToEQmOg4MD2sCNUbIzRoz0 GVr/Zy4Mbg11Xbdte0EuncVndXU1n8/rup5IJFKp1I9+9CN6vFAoBIPBaUWQFYtFsTjm7u6u64dLJpPn FnJdXV2lYvPxePxcMXR0dMSNN3fv3uWPHx8f0yRL27LL7Zh536l0Or22tja5KUXTtHv37tFM7ThOr9dT FIVvN4dCofvkxm61Wr1ej/Q0beD406LRqBeVcAc3/bVaTdxsaJrmKr506UZuorihP+v1+rRMGqZpnpyc 1Ov1WCxGKVeyLO/t7ZGzJh6P07dHpbibzabf759xCgnvJ0cYhkGXuvgcUU8PRVRslUpFjHbv9XriN6zr eq1WoyU5Eons7u5WKpWTkxPq8ELnLnam3dvbE19O1XT4I2Pk2tnZGT+v/f19/kyfz7e3t+eaq7vdLvlQ UqkUqYRAIHD//v1Op0P1wcgXxnEVG+12u4MN4QqFwpiOMPQN0KqxIBF73gqOVqtFyi4YDPLf79atW4yx 733ve//xH//x+c9/nh78h3/4h9///d9njH3xi1/82Mc+NvWRjN/wVSoVPrxzG/rNjFqtFgwGXXbdC1lf 5th4c164JOzW1hYduGp5TTFuX5xJfT4fvW2hUOAxHFtbW5O4/CdczEzT/OEPf8j/tG07GAzSTCc+blnW JU7QcRz+JuVy+RJl3S9kOmI/WU5U1/VUKiXL8qNHj/gyv7W1NSp3g9bRbrdLS9H6+vqFdAmlKYqer2Qy 6frSMpnM+vp6r9czTTMUCl36hhJnGOJyVqihG+W33nqLC01aw2jkojX08ePH4nK1u7vrRdn4UYFKg6av ZDI5eczK4BdFZgP+p2mavAAJYywYDHJnmWEY/X6fBqDruq7rL774Yrvd5g47xliz2dza2uK2Abph33nn HXLQDJaWOTs7e/31110PdrtdPtsMYprmv//7v9NxuVz+wAc+UKlUzs7OKOxmaEAr2TxGvSExOI/dvHnT lQxMn/jud797/FvNBm8FRygUovWS6ibxx7/yla8YhvG5z32O3z8f/ehHf/Znf5YxRumaUxyDLMvJZHL8 e8bj8WazWavVKD1vugO4HNVqld8AVI8oGo2urq5OODZFUai2hJdjnD48WJ0CVi768lgsRl7eof8Vdy2y LE/rVxY3QJqm0duura35fD7LspLJZLPZFE1oV8RV66Ldbnc6HXr/eDzOcywvd4KuOIxKpTIqKr7b7Z6d ndm2HQqFLioyRMTTiUajZLnhqwVjrNPp8JPiLwkGg6qqGoZh2zY3XFHtkwvZ/1ZWVvx+P+104/E4//mI ZrN5enpKJs9EIrG1tXXpKnmJRMIwDPFEFEW56A9E0+lgsRPR/t9utwffViwOQTx58mSKRg6atGu1GhWt Wl1ddQkj13WVSCRs257k9GVZTiQStO6KmiAUCrlezm1RpFnFf7mun2fPnollVxhjvV6PruFutxuNRskU xDcArg8yTXNQbdCbjDojMWGNePz4MZfU5XI5l8vFYjFKoU+n02TwiEaj5wqOwe8hHA7v7u66fm4vFrXL xXF7KzgODg5ef/3127dvP3z48JOf/CQ9+O1vf1tV1U9/+tPiMzVNo72pruvTrX1J9+f4kkSKomxtbXF9 OpX6RVdEvEkCgcCdO3foeMKxOT/Gk8F5g+M4b731Fh1TncRLbCjHnPXW1lapVOr3+1RgZ1pfTiQS2d/f 54G9ZN8m8bq+vq4oytR/hbW1NTK3xmKxWCzGT5k8IJZlBYPBRCJxic+VJElULTT5Dn0mbyZCv9Sli1+R jDYMg6qhDH4c/wJpSSNjQzwePzg4cBzH5QBttVoXjYeg9CLekYQPwOVBr9Vq6XT60pWXJEny+/0ULBmP x+ngoj/QqJs6Go2KxTwGnzDonB3zy14Ux3HeeecdboilgrOuULOVlRXLshqNRiwWy+VypNEnGYA4eycS iXA4XCwWy+Xy66+/7mqZlkqlyEVFaiObzZLpMZ1OJxIJXsOGMTa4DSMzHvdwjR/Y0P1MJBJJp9OjXshl q+u8OIVCgVtcms3m/v6+4zixWOzu3bvU7kqMCeNQwZLBD3U9Eo1G19bWFmQt8FZwvP/97//yl7/88ssv 53K5ra2tN99885//+Z9VVX399dd/53d+hzH28z//8y+++KKnY7imiCJ9/Kat0Wg0m81AIDCbYoLe4doG UUPtyV9eKBSOj49t285ms0NdGFSA66qjHAZ3ajDGzs7OKBCsVqvJsuzyy/LM+0Qisbm5ebnfK5PJJJNJ Ch8TH9c0bYxRd0I2NzdDoRDVPRzloXAcR3SFdDqdoYKj0Wg0Gg2fz5dOp0dVaGWM9ft9wzCi0Sh3e/Et WiwWo41Us9kUzfLkgB8sp3a5mDBJkgZdNoOt464yZYtBDKqqTrdqO/mGms0mCc3BJwSDQTGAml3QMzse wzBcbl+X84gxpmma6JggL5hhGIlEYmNjY3KjlGj/Pjo6ckUBiu+zurpKJlL6Zff39wuFApmCXD2Bxxe3 cBwnn89TmAW1kh46t4z3T7nSxTc3NyORyNAIa/aTabEUrh4IBGhLY5qm2FF2lLZ2BZ1sb28vTtift4JD VdXf/M3f5H/eunWLAjjAufA4Z+r0OOppYmofNwxeU8iKyGerC21VG40Gn0dqtZord9FxnLOzs263q6rq mDYZk9PpdGgppaoM4r/EUk7iMcHr/NBmvdVqxePxtbW1i66UiqJ4VAKIioiMf44kSbFYjE+jQ38pwzC4 4XrQvc1bvgUCAdpxkn+dfrhoNPrgwQPbtvk5Du5Kadfu8/m4vYfcWBc83Um5ROlMEXH8o1x+VyEej48R MbIsb21t8ayN6YbqD6ZDn2tsPz09JfVTq9UCgcDkcUKuG4rK2o66ncXHg8GguOj6fD76FXZ2diqViuM4 yWRy6NdSKBRIKdK8REbEO3fuHB8f85nqXOeUWBOW11G9cePG8fHxUHP+4K1NW5pGoyEKjlFomnbz5k1S ZtlsdnHUBkPhrxlD4dOKopzb10dV1d3d3cHe0y5c7tupDLLf7+fzeYqSE+sgjcFxnG63q2naFVfBjY0N 8nokk8kL1VZyLUiu4LVischvVMdxrmgGEHs0NJtNlw0jFApNqJnIykpNWa9umZgljuPkcjkKLYrH40MN UeI2t1aruU6Qt3wb9cNJkiReS4OLPVdFmUzGiyjvbDZLpxAMBrPZ7JjsykkIBAL8C5lLSQwq1e/FO7su 8rW1tXM/SLw2LuRAF/fuFNfJGPP5fKlUKpVKjZ98RAOV3++/ffu24zhPnjyh6zCfz9+9e3dwshUnVT7U VqvF3y0ej4/pDmHb9vHxMZk8Y7FYKpXitdrC4fD+/v7Z2Vm5XCYbFUmE3d3dUVeay8Z2dna2trY2VE+E QqHFbLwCwTE7Bvv6jHrm8fExhQttbGyMj+UWjd7TUrInJyekY3RdV1X13GBy0zQPDw/pvr1iHwRN0y6X eRiJRLiFY7DKlriqDS5+F0UUeZVKxSU4stmsoiiUnzX41YndraY4pFki/txbW1v9fp+a8rime/HKdBXE 5F4nF4OLumVZp6en1Wo1Fottbm5S9RHqe55KpQZN91MkHA4/ePBgVHkljmmasiyfe+uR6bHT6fh8vuvV vYj7FDRNW11dHVzUVVW9efMmhSBkMplz3aCO44hxQhedLvb29uja4y6qXq9H+nW8XyOTyfAPpRuz1+uJ bqZms0lWon6/3263qSubmF9JStGyLDGigpT3qA+t1Wr8Um80Gq6EF1eLiXMzV6PRqOgaq1QqsiwPTpjd brfX64VCoQWsgw7BMTvEi5scckOtF4Zh8ODk4+PjeDw+5rqhntT1ep2C76YyzotaTcrlMj+1p0+fXroU 41UIhUI7OzvNZlNRlMFlPhQK8blm/ParXq83m00KOzi3DuBQqJ3EqE9ZX1+n7laO43CjSzqd1nVd07Rr 0ZypVCrxn5vH3uu6zitZEclkstPplMvlWCwmevqoeK74htls1rbtoYnKxWKR9BkVjOclB2ZTyUqSpDFr CTV6pevq3OLrVCNffETXdapUPcWdqGVZtm1P12NSKpX47+U4DtVSchEKhSYsSCiqVSpA4BKjY+CVM6gs rOsqovRXTdNGpeaGQqG7d++2222/30/SwTWv0n0t2i8pLdxxHB7DwQY8YtTrhOqTDupOV7ju+P4Go+Ad hWRZ3tnZEUN0B+1D48ujzR0IjtnhCsEbtW65/JSWZY0RHIqijCn8cjl4/yc2WUPkUTWtZ4Npmp1OJxAI xGKxra2tdrs96CNPp9O2bbdaLSq6N+qtxFpAhmFsbW0NfvOmaVK0Jt3qFy1mQIXJTdOsVquUSOL3+5vN JllTM5nMpUtLzQxXRROC6i2KV7gkSYMNAjudjpgvwM6z4Ynz6dDPnSONRoOr2JOTkwu1RCgWi/x7oP4s o57ZbrfJWnauxqpUKpRpGY/Ht7a2JhwMlRu3LCsWiw2dZ8QtR7VaHSo4JqdarXK1ym0ShmFQSeVkMrmx seEaeaVSefLkiRinbBhGoVBQVdW1nMuyfHh4SHPX7u7uoJRRVVV8UFXVzc1NioHLZrPkGxJjOQuFAv1M W1tbPBp36K6A6pPS3NJsNqlkaiaTicfj3PIaDocphftCvYF4R6GVlRUqGBqJRPiPMqgnxPE/efKk2+2S 02dBlAcEx+wgI8TZ2ZlYv3bo08TjqV8ofLIb5f6gZE6qkN3v9588eeLz+VZWVkbpnmQyyTfrMzYX86mK Mba3tzdq4pYkaZKwfFexwtdee+3OnTviftG2bb4/Y4wNdfpy+v0+dWAZdBPwPP5oNKqqKq/SUSqVcrnc AhpCRZLJ5NDyAJOE4vLWl0QkEhnvsKNAucnffxJ4AfhYLHahDqKO44gxVa7VTgxxPRexLkutVht13fK+ GIyx7e3tMQYwx3F4XQeyd054akdHR3x3MfR6FrcTk89FlmXRjnzMu3H4LVytVl2OSMuyeJ0VkcErcHt7 u16v83OhQiNkbhwTSpVMJpPJZLfbbbVauq67soX5aA8PD2OxGJ0OleQvlUpUr50/uVar5fN5Mey90+ns 7e0dHBw0Gg1FUbgUODk5cZVCH0W32+Xpsvl8PpFI+Hy+XC5HlXzJyTX+5ezHFRamvi+9HBAcMyWbzZ4b kq2q6p07d6gIjCvJzbZt6n7Er/6LQj2K6Pjp06dDU8IURaGNqWids2171OaGyoQMdhgfteJOEfGGL5fL rnCKizI4n1arVVGpuJy+rVZrlAea70tisdj29rarJzU/ptQM8YUX+q4ogGDy508IWadHbXlDodCtW7d0 XQ8EAtw/srm5ee5yO5hWeu7Jita+UU3gLgpVSWE/dtNMmKHaaDQo6SYajZLpKx6P87tjMIRlDLVaTTQb jPGAiMV4Tk9Pyfw2dO/uWsibzeYkgsM0TTGYptFoDOo/8QKbML/m5OSELHaDlWqTySRfQenOcl0Vg3ko k3zixsZGPB4Xi4eyH7uG6/X6+I1Bt9t988036ZgSzl01xQmxga3P56MZUpIknqZLq7urQU+/3w8EAoFA wFWHw2UOHIXr26AxDI3b4E/mNhsRV+mzOQLBsUBQM2XyDgz6s6klGF3Qg92PGGPdbrdWq6mqmkwmR01/ rhu43++PmSjFm2S8NVXTNNcEx+smRaPRhUoEHwMFxIhBna4V0TVtjVoqaA9Nx1SLQlzVxsx9lMNmmmar 1VJVdYw/i2wtNKXeuHFjit2/eMAyY8xl4OH4/X6aLnnO9rnSwXGcYrGoKIroGdF1nfzuo17lhRtFXGJ5 nOC58BRfXdffeeedTqcTi8X29/fb7baiKJNHPjabTbHopKIodNsOrZ8hfqt87Xny5Mm5YVIThnG47sqh U4FYVWySbCDuH2SMnZ2dJZNJfsHbtm0YRi6Xo9oSdNFKkiT6cF3fpGtV3tnZoTdxRV6Tv0n0X4i02+0x kSLi9VAqld71rndJkkRJ7/xGiEQiQ6075/q5+Lm7rFP1en2SoE6qps9DXgY/rlwu67pOxiQ6kUQicefO HYp75YLYowSlSwDBsSjwplnEYOusbrfL5bNhGK1WSwwI7/V6XKfrun7z5s2hnyKuYeea9YLBIL8bL9Ro ynEcvkvQdb1arXp0xafT6QvNhuORJGlzczMYDPIb1aWiVFXl9ZVXV1cnDF107eEo2dgV8sYYox62vV6P d4WgKtFDP6Ver3NfwzvvvPPgwYOpmJFs2xaNRo1G49wfswrjkgAAIABJREFUbsLPLRaLQxeD8Uo0mUzy 33dajYHECiKXi9KlpKdGoyFJ0kUt1a6drmVZhmEYhhEMBgdvxlwuN3RvOhh76KphM+HdKssyj0ZiA6s7 QbcAlRac5C52nSAVO6cxP336VHRH8ufwWnPRaNR1tcuy/L73ve+tt95yHIf3XCVXr6sLD32Bg/4LNuxX LhQK+XyeylsPrvo86DscDhcKhTEFAwdtCRy/37++vs5/JlmWb9++fXJyQr9RtVqdJD+fF1ChSiGuH90w jMHqYbVaLZVKhcNhMfZ/sCDQvIDgWBRcM0u5XA6FQuLE4ZqaXX+6bj/TNIfucqgNNOVTZTKZ8asFhTd2 Oh1VVbkRjwIem82mZVkU2zHHcKRwOHzv3r12ux0IBMSNFK9xdIl4iHQ6TRXKg8Hg4PeTSCTOnc0VReHp r5FIZHB3tbq6SlPY8fEx36uRNVvcbxmG8dZbb+3t7Q2utS4TumsFsiyLOsdGIpG1tbXJl1XX+Z5rl+r1 enQtpVKp8TEWQ/Ng19bWxv9A0Wh0f3+famhObsUxTdNVxkOEloF6vZ7L5SaP4RBrN3HGh0t3u11ap0WV P0qkUh6E68FAIECpuZZl8fCXUQWFt7e3K5VKq9WyLIuCgc61c1DZbP4njXbwaWKgQygUGj9puD6U/wou dyRZjCKRSC6Xo0iLUW8YiUTEhVnX9cEWP/xDyX/BGPP7/WRoSafTriFRsAVjrN/v00os1gHjTxMboLz9 9tsX1fSDlTB8Pp94j4jJ8IZhWJYViUSGZh2P+nJGNTanHY74y7pKnc4RCI5FYXC+dqU8+Xw+vjNOpVKu q9l1U41ZKgKBwIStigdz+RhjYtQkzW6DGXGSJIkT9HQLObtQFEVcj8WN1FDH0yT4fL5BFWVZlizLE046 1OiBJpGhA6D32dzcjMfjtLejC2Dw/Wu12qDgiMVifHMzWEywWCyS5KLGFoPtLkdBUz/N1D6fb7y0Elt0 NptNXrCo0+l0u91gMMi/Q8dxXCO8e/fuGE0gIpaNPxeKnSQNN6rVraZpo8wSrrBQkbW1tUgk0uv1bNvm UVBjBjaYXUnHkUhkfX2dzOCugi7Pnj1zpWlw4ZhIJG7cuEGL4qi7SZblcDjMLYu9Xu/cFKoxpVNckEmA jsfXAnfFvHMF4/pWabFstVpjArodxykUCqenp1QNSJKkXq832KI9mUwOXqiRSGSUSWxw9Q0EAnt7e6qq ilfpJFEXvMrtINVq1TRN19wYCoX4BoP/jqITc3y4iYtREpzeIRqN8jNdkP7nDIJjcchkMp1OR4w5Groz zmQyjuMM7l2i0ShfKryLmXBZMhljuq7btj34cWtra/F4vN/vD5Xt3tFut8X0OZfj6XI4jsOD+cUEufFM uCN3/crJZJJs7PyRUZaqO3fuNBoNMj65JkfRgnrRzQ13wPd6PVf0iQtXXRmakcXEihs3bkiSROuuqI99 Pl+tVvNiEqSMRDo+Ozs7t/qkCG/wQZpgcHXhv5TP5xvTuIQQgwzOzs6azSatrMFgkCz2pmmKPw19mdVq lcqa8ReScKzVaq1Wa3d3d3zTQfEyGFPphyNJ0o0bN4rFoq7rq6uro+4Uqv3F/6Q+dqPeU1GUe/fukb9J LPyvKMrQ5blWq7kEh67rFJoQCoXEM0qn0666tDdv3hxqhmSMDZ2UiGAw6DInBwIB1wbDcRxXkPJQOy79 UuJJid7SwRClZDJJ0RXUY4ENODHr9frk3udwOLy9vT3Y1+2dd97Z2dkhiUZBgRAcwA3VMieHBVWMHhoz OGYGWV9fd4V9eDFI1yPU93Lok69e0YivXpSDPuppzWazWCw6jpPNZl2T5lSEl5hud3h4ONg/ZYrQZVCr 1cg9TF0ohz5T0zT61+Bg4vE4H7Dre6OpnNzSg3Ooy0cwPkfA9XK6NkTXSaVS4bN2q9VKJpPNZrPX6/V6 vdPTU+qeOub9XQOzLGu8j4C70jjja9i4yOfztOqTWWhMcEY8Ho/FYmTbH9WaxHXh0Uai0Whwy/yopBv+ nXe7XVHSUZDWrVu3xtghXA6RSc49HA5PMeKYf+5QX1Umk6ErVsx0dX17VG6cjkW10Ww20+m06wSHZsC1 221qOs3ziVxPoDp7PFksnU4PWsJOTk64DgiHwysrK6NueVdWi2vSc02YVBVDjAi5kBOz2Wz2+/1oNKoo Ci8aJEbhEFQL9e7du+QLG/OGsweCY7FQVXXyVkaDeN0tVpKknZ0d8r/6/f5gMOhduzjLsvhemRLch1qw qTs2HRuGcfv27VwuR0ki5/YTp6ZupVIpGo2urKyMspC7ciUuVy5wciRJopniQuulSCwW29vbo8xVcReu 6zp3xAz1hcmyLMZU9vv9p0+fhkKhoeE+YvTr0JmdNljin6KCGZ87IMI7FPKSVoZhSD+GP+3k5ES0K8Ri sQtFF4m/8rm17Ljj5uTkZGguTyaT0XV9sBAkt8xTps/gEyhNQ4wBF2m1WvRyqvfqKpATDofX1tZ0XZdl mWIjzjvpiZAkaWVlhRs5ruIhpSGtr6/z69Dl3h2Vl0Rn7fP59vb2eFuyoXcHH6eu68VicdApLMsy+adG dUB0FdiIRCJjNJmiKLdu3eKRTLQN4JbmRqNh2zY5THlRMrFTtCRJqVSKPm68E/Ps7IzbTm7dusUNG91u NxwOi8n2bHo55FMHggNcjFgsNpvi5a57pt/vDxUErgDsTqezsrJCjqdzvaG1Wo0CTcRWpYOIAROJRGJm Kb5XcUUN9WGL5R+ooMvgmrS5uVkulylQkebNRqNB3drEp5EYWl1ddU3otNDyY96SijFGLjb+3wkNYOTP omMqacX9JpFIhAeOOI4jqg2SJpO8v/hB/Hi84LBtW/ysQqEg5iMQhmEMbUvGNZBlWYNP2N3dpV/NtX5w 6EurVqt8V22apmiM8aiVXS6Xo58vHA5fXcdQXHav1wsGg4P1xcV0GzpOpVJiEIx4YZumSSWLuN1R9EqP WXfHiNHBDKDxp+P3+8XCGOvr66urq7IsP3v2jJvc9vb2uPGPfFL0U4riptfr6bo+NMWassr5n64QbFIw T58+5S6n6Za3nyIQHMsOlaiKRqOTNF6aJT6fT+xUNGqToWma+DQ6hQmXapfLYJTpQtO027dvU8CEpwGw XuNKih56soqikLYQo/NE47bYDoNvznjV2kgkcu/evX6/zysUBYPBXq8XjUZDoZDf78/n85ZljeoxO4gr ZKHb7fLF3jAMPkG7zmWSdZG3qKA/xeeP15SDtbdt23bpG5diCIfD5Mbirx1cCyORSLPZJN+BSyvHYjHH cVZWViiGQ/w5PK3pZBhGuVymGHD6+brdbr1e73a7VBL00uJjaFw2sbm5WSqVLMtKJpORSCSZTHLNyoRq hNvb2+FwmBftbTQaJLy4gZNdMJlfhMdGxOPxc7tX8l+Ez1GyLPf7ffGncUVZ8avaZdGh+i6DH+H6nguF QjAY5PuHaDSqadr+/v7x8bFhGJS9P8FZzgEIjgWFB6jH4/H19fVp1XV20Wg06OakLT53MNP+bML6uy5s 2ybjdjweX1tbG6q1ubudZ2cMQk3bK5UK5aCP0hBUPKNYLFItVJ7hNgmRSITPTeMjM3w+3+IEXl0a6npV r9dVVT3XFyb+cKLvXGzexjdnYtVabqmmeBH6LHo3TdMu2oxjTONfF3t7e1QkO5FInLtI8FKw1E6dZmr+ 3/FiiC45sQZDrVajhgD8EVe0QbPZPDg4EB906WnGGA8WNgxD3DEHg0HKMwqFQrTGiKa+qzRnHgovLdjv 93nRcarXeXx8zN1ttVrNtm0yPEzRyUiZuqPcJRTYS8fPnj0Tv6V6vU5Bsrlczrbtdrs9uagdJB6PP3jw YFTKkgjVY6SvJR6PU0Z9LBZzvTAQCPAeubFYjEv/CScrx3FcIbftdntlZcVxnEQiQTcXXZb8+ZQBNJs2 h5MDwbGg5PN5ujrr9bosy3QlUUgpLcBTMZq5Lne6wfhczBjb2NgYLDgzHt7hc1QNf1cJIMbYjRs3KKrc Zcag6ePcT9Q0jTzB8Xh8fHvbVqtlmiZtNxlj4XCYIjSfDz0xCRPGkVmWFQwGaUVMpVLirzDKy26aprhI 1Ot1MV6ElsxWq0Wxmdls9nJtd0SDeSwWi0QiPB8hEom8613vGpOewOl0OvwKPz09lWVZdJHQNT/+HQY/ wvVIOp3u9/ti6Q7q7yU+n7bRrrQvxli73eZhSfTnmGSHlZUV0zRPTk7q9XosFltfX7/QzEBFO2zbpij1 R48ekaTTNM1VP7tarboynprNZjQaPT09NQwjFottbGxccV8k5hIPLT8zOF+Jf5LZIJ/P09dObZ8nD0x2 IUnSqNOp1+vValXX9Y2NDZ/Px7+Wer1Ok97Z2dmtW7e4REgmk9FoNBqNJhKJs7OzRqPx6NGjra0t0zRd Wb5Df7t+v390dDR4nVBrlcHnixoomUxesd/edIHgWBQcx6HQ6Fgstra2Jt5aZH2ldth02eXz+fHZ8BMi 3tJkbKhWq2JLguPjY13XXd1AxiPuQYfae8XMVeLZs2d0jolEYtAY6DhOu92msoCjPtS2bfK7U+KuWAeM c3p6yhcAnu9OEwF/k+Pj41qtRm32rkWz+DH0er1CoUCNQC8UrG5Z1muvvUbHVBlC/G88Hh9snTVY+1m0 IfMZmS8nxWIxGAxO4p+SJGloYVbGmOM4r776KvvJfIRJImwGw4PEP6PR6PirnSZ08ZHBCE1JktbW1kTB MRixoShKMBgcXEgGcV3MFMXJ/zw9PaUb7RLFT7niKZVKm5ub/Obt9/suY9Kg0PT5fDy1h2qBh8NhXvb+ Eoi/8uHhYS6Xc0XQu+J+XM1THj58SFm+/BEK+hFPodvt+nw+Xdcp8iOXy110tJQDQse8Yd4gjUYjm80m k0kxmIy8UYyxbrf79OlTl/khGo0OvSNEm6L45MH5kBopMOGOq1ar2Wz20r/I1IHgWBRKpRLN43SthMNh vpmjfX+n03F1DqN7iVK8yGR3UcNmIBC4efNmtVqlenaNRmOwWG+j0eh0OpOb5sSCMyT/XVbfoT3f6aBW q62uroo3kmma3E07qpU5d+uKGRYuC7bjOK7tpivdVNf1s7MzmmSpLtPk9bJmDIVzkpN7jCribgKKPpl8 qyduZKvV6urqaqvVqtfrPp8vnU5HIpH9/X3KPCTC4fBgP3TxggkEAj/84Q9dnzI0pnIoq6uriUTCNM1K pSJKWH6DjMpHGISM7eIVSB1rRc/auRaCwZDSQqEw6KJyRZ8M3Ywmk0m+QIrBkkxId1xZWXn69KnjOOl0 euiCJAqmc/NrREzTFKeUwUwHMSXEFYUQi8VWVla4MGWMlUolusXGt1+nTqeqqiqKIkp8l0GFzDbBYFDU yoqiHBwclEolVy8VjksBiEKt0+m4mhXzcxw11KEMOkFUVR2MyKGPds11ov213++L4jgcDu/s7PCbKJ/P V6tVTdNyudxQm6KiKK47Ttd13vFnYVlewWFZFuWYzaYyd6vVokktHA4PTXwV9xONRiMSiWxsbFAtYbrl hnYOE+ssdbvdMY75fr9P5+taosQSvKNi4y+Ul0GhZPl8vt/v93q9p0+f3rx5U9ya+P3+UXvWQcTN9PHx cavV4qUYxeqHhLhS0o5t1NtKkkT+Kdu2k8mkLMsu2+biFAN20e12nz17RldLqVTa2Nhw+aEqlcrgxmvy HFQ2EDbRbrf5RNbpdHZ2dlwbpqHG50Qi0e/36YpydcQlJvGv27ZNua900fp8Pmo+MvjMSfIA+/3+w4cP 6XhtbY0iDxKJhKqqd+/e5ckO/PmNRoNyDl0ba+rW5rpCXF4Py7Jc2n1U1PPe3h51AaUQDa7kcrlcIpFw HIdXrTAMIxqNrq+vu6Yssb/amI0Bt6HG4/HV1VWfz+daDl2reDgcHlOvk6yeQ29k6hhCoaaus6Zcd7oe tra2er0eJVzw57u+1Xa7XalUHj9+TL9UIpEYb3d0qVhxqzN0wqGa4hcyFQ9aC0zTvHnzpizLNN2xYQ0Q ut1ut9sNBALiCMXj1dVVft9Vq1U+q5ummc1mBwVWrVZbW1sT77uhd1kymVwc8wZjTPm93/u9eY/hJ+j1 etNtEUmBM4Mthd54441arVYul30+n9eRNY7jvPHGG1TyyDCMcDg8tOaSeLPpuk4VaXgpPUVRVFWlq2pl ZYVmxnw+z69aWZb5VS7LsqIofBbudDpvvvlmvV6vVCpj2pCK1Q9VVaXdUjKZPDcEz4Xf7+flnxljZGsV nxCJRCgpxu/3UwornUUmk6Hz6vV6h4eHh4eHlJ/JX9jpdCjUo9lsjumcxBgLBoPidEMNFWmtikajuVzu 6OioUqlQc8twOOzy/mQymUt7f69IuVzO5/NUy9I1Feq6/vbbb4uLq67rvV6Prwrdbnew9jNj7EJmVb/f T+XJGWNra2vURIO/P62CYuJAIpEYuiyFw2Hq2y5m8VH4kaZp1Ll7zFx/dnb25MmTQqHAr1hFURKJRLvd Htxlrq2tnbtzKJVKXFIbhrG3txcKhUhMy7IcCoUCgQCf9AuFApmIqtUqJWiIbxWPxy3LEjespVIpHo/T AkCi0CWM/H6/6y44Pj6mCrZUUV6SJKriEA6HV1dX6cmmaYqWuV6vR0Fdrv4s5EOkGqajzJzFYpHeqtvt mqZJBtFQKDS0zQ1jbHNzU9xpaJpGZ+f3+7e2tujbDofDgUDA7/drmiZumXq9HuUTZbNZcTzlcplvIcgL w1/V7XY3NzfT6TTVSKUHdV3P5/M0c1JNi3A4XK1WJ4y1lGWZ38XcneHiorFEVCZHbEOTTqepl5Df78/l cpRCLJ51rVZ7/PgxDYA6z/F/ZbPZra0t0n/0SLlcFvsJ93q9zc1NCtdw1dugngakco6Ojqg4Hv2LwsNT qZR3fWIvV9dxSS0c4nRZLBYjkYinicsuOyfvoChCZgxxEeVOEw5d2UzYg4qT7Bh/iiiQT05OxKuQymiS O/P/s/cmv66kaVr4Z4cdDofD4XkeznTvGe6gLpGok5IoIUEDQo0QS4YlIHrDpgX8B71gxQrYwA4JhITY IAStFmqaobsRrRoyK4e6meee+Xgew2M4In6Lp+7b7/0i7HNuZlZWqu7vXZ0TtsPhiG94h+d9nkwms16v 5/M5KBZw2V8ByiBlRAKHJjRQcB9M04QnQT+n1WrBtQqkThKPQHf7QaCFQgGZeU3TOCGE8MXH5XL5lyXo PJlMCGvp12LwgyeEEJ1Oh+RUpNuC3leOU3mMoZxEzEh8Q4pGoyCkorUPvuOOs0nefD6fR2YbrKNcgWW5 XOq6jjEwn88pJL27u6O9HNcGB0jTtNlshtn09WltJZPIvKUbGAqF/P5Np9NpNpuO4wRydnFbLpdI1+Hf 8XiczWYxFyKRCHeUI5GI1MyCWgMIo+hgKpV6EBDDxwa514Ar8fBACBGLxY6OjnbIqJKBvzyVSlGuwv+l fAGRVkK+LuHMkUhkb29PahoiQ7usdKlPnjyBxqR4owlHxqta+Xx+m/Quejqi0egjnXJVVZvN5nw+n06n EltX4CLMf2YsFotEIlwDmQ8kx3EkAVgMBiBjcJ1YuPL5PGbE1dUVHN/VaoUyHKpd300I2nvqcPBhsVqt Pvvss5OTk19cbUUSj96WpcxkMqPRiGZa4BoqDehCoQDfHwuH67rdbnexWCQSCQnrR8a/fTabccY6jOlS qfT1l++nT58CsZhMJh+TPJemB1+YCKqCf4nvgb8hnU6jLXaxWEwmk3g8HogwJ+SpX7bq8PAQ8V+hUHjw 5w+HQ2AaisXiN9ixTGAUmJ+b68HalrS7b9OuA3pO07QdJ6TpYJompPh46/9sNjs6OopEItFodJun63me bduRSOT4+Bh0DrlcjodoiGWj0SgvAx0eHiYSCckF5LIgyL0j22ea5uP7QjOZDGE1HtQv5EWTwEfs35yw 523rk4J/sFqtHMfpdrt+qc/5fI67xNNRSND6d190D+24fvLY0uk0fBHDMGjn436DaZqSw+G67rsC0lVV lZA9dFwIsdls7u/vR6PRDq+I0j9oLdmGpR0Oh5xcLhaLIVDBFx0cHHQ6HRpj3BXWdf309LTf70u1FU7q WqlUHt+t5teDfYyFQqFarYbaij81KA17yPrwz+7t7QGEpKrqcDiU0myu6347rIxf2d5Th4PYZ8nG4/HX 4RR/0Gq1Wq/Xs207m836fU/P85DbtywrGo2qqoqW7gdPi4CA/qVGDNAb07KSy+UoMcvXKT5Y5/M5FsHR aPT13S9N0x6Dlt9sNp1OB9oxPFDQdZ3WFLzU7/fBH4XbEo1Gnz59CqFqIkqKRqNQXn3wexVFaTQaSF0W CgUsdo8UleDQWonn8esYIld+xN8uUSgUKI6kHMPBwQH5DbS7e54Xj8dt2/bvi9PplMougdoc8AMMw4hE IuQKSEpaMAwStGjG43EJ7Xtzc4OHuLe3h9/iDyKxsUkwVUngI5lMfiN1aFVVnz17ho6nB09YLBZxVSjA 0XHbttEVYpom8Z7B8BSkMxcKhUgkgkZcopWUtvNkMqmqKknvDofD58+f42zwTvyXtzt+dRyHGoImkwme MubXdDoFiIreHIvFjo+PX79+Tal+uvnkA5mmiYZ8f0LLsqzZbBaLxXghQLzhWQ+Hw5Dwxc3cQVMGcAn+ Nk1zmworKAoJQS8t2kiaoqDjjzqi0WihUHBdlxb/XC7HL+n+/h43IZfL0QKIhTEejz+4PqDHGLx2/M3Z bJb8p1wuR9x6fpPYWRqNhvQTlsvlcDhUFMXf6yd20qd+R+w9dThisdjz58/RUwcLDPVWq5Xned9Ibkrq a5/NZr1eD4wapmlS27R4w+H9Til9rEoAafKvoJOoqvrixYvlckk80PhjG3hlsVh8I2MXED9JQZ4b+AOE EJPJBHkgHC8UCtFoFKkaLEP+yEPTtAfj1B3mB3Y90niM/g3yPErNmbFYzP/ruP9RLpchqJ1KpfglYWuh /aZer0s9sdzV9quU3d3d0RtOTk4o8SB5GyRtY1kW0UMR36gQAkQF+JsS3aZpNptN6LMLIYrF4jZCi9Vq VavVkCBJp9OhUMh13dlspigKwkrXdefzeSQSeaeBKg3FbUhqIUQ8HvezevCbAyldjppUFAXQUfJl6/W6 YRiEVCXjdYFkMrm3tydtHqguiS1dJ5LeGM5GTgxHntIRuEHbxjwyfDc3N6DWwMDbbDY0iig1An8lmUy6 rgsposAyH4kqo4n0Ma2/3FRVPT09xZfy2pamaehiA9LW36lBH6dRsVgsWq0WEkLVapUgq0KIeDze7/el R4/ArNfrwefjqHz/VJLs5uYGy3i/369Wq5vNRtd1NLuenZ2huhQOh3dc+Ww2Q+IEaR7J27Bt259D4iat GMCowb/8RctsPdLeU4dDCBEOh2ldSCaT/pF0e3uLuUSSUYHnsSyr2+2CHHBbOs513eVyGYvFsCi4rkvE PtPptNFoSNjs3S0Sm80GnDbkLvBZRCY5E6FQaLlckgZptVqFjlStVsPXSS15Oy5AvGkNBx/ANoeMd7QG EmyItzdsLHZ0tV9H6tB13ZubG3ThF4vFb7bAz2+slE1xHAe5pQe5HPwmRb35fD4QJUB/d7vdbY27kuD1 jts4Ho9vbm6onYcHf2I7zQCfEfz9YJHB34HQb/R9+KEAEPDE3/l8nvcfHR8fK4rCqUFyuVyz2fzhD3+I f79yxZrTTG3bS7i3gXCfv+q6bqlUgl4MWkw/++yzZ8+e8X19GySTDP0s0tZCEzAajfJKlhCiXC5zb4OW KTousVOIna0rZKqqVqvV5XKZSCSIziHQFovFarVCBiJwkBuGgZ9PiqbbLJPJkCvDqy1oqPFfA+8D99e5 lsul67qSYD3t0IPBAAwc/IeI7dy1iHb4AjUej5FqBWyIu268+wZG2UoMrUgkgu5Z4jz0M5vxiurh4aH/ B27z24DhlSqk/GybzebrxGbfoL2/DocQIp1Om6aJnjTppdVqRas2OBsC82me51F4d39/H1jV4/3fqE9L sawf/7ijjsjPBtF213X5QEciEdG/9EVUCLAsi8qWe3t7QCZOp1Osp6lUavfyPZ1OKeHpuu62RnZ+Vf4m LhiHtszn848++ugboXLv9/tYKQCDyOfzo9HIcZxvBHWRTqcBrQ2Hwxzizh2sVCr1rqUWVVU5biCw2s1B cBLNA7fdvk4qleKPZjgcZrNZjFu/Ahk2e34QEXCgBAn/O51OP7LzGed89uwZZiJ6quml0WhUKpX43iNF pdgdwRtNDZ+P+VLuPex2y2CBnbdATfILtiyLP7sHfXcqZSYSCWwYyLrjValILzlGs9mMlqlWqwWWaz4w otForVaLxWK9Xg9zdhtJBg/lH7xgGj+BgzCdTgP86He2SqXScrnE3Nzf3wfybD6fY7/kFxPo8Ww2m9vb W9M0/WVTqiYjYxQ4BSSoym4jRWI6Eg6HIS4thEBHPZWnO51OYFeqEGIymUD5ebVaTSYTchrQrMDfKc1K /44TOJYymQw1xSD0jUajpVKJeyfIuDz6p/8C7b12OIQQvDOCmzSRsMb5gVTSjg5NI+k9fNnt9Xr+nlh0 +mGCqaqazWZ3OBx8DrfbbX9SulgsmqaJ/gLp8gKNolKgO9vtNhKDO6JGHhNYlhVIJu15nnTw7u6uVqtJ 97BSqSBbjoS5eJvK/Ssb/+EkUUEvfX1Gr8ASLP+W8XgsETM8xpDrcl0XT1B6dTQacd+UAqzVatVqtVzX zeVyWJLy+TztQ/7dBcI0HM9PeXvwY/LyOXkbICP3kxYUCgWKAvm41TTt9PQUy99wOMS4DQQwwbZphQfu HP59jnQAPM8LfL6O4xDtCp7LO7HLUOd24JXzfyV3Nh6P45bquo5Mg5QmIZvNZoT4cxwH7pdUUgmFQp7n Qb/XNE3JF3QcJxqNptNp2rpwywcFAAAgAElEQVSq1WoymaSEhBDi7u4O002KK7ZlYrC1w2XBkW07K9l4 PF4ul/4T5vN5TBy+YkhdOfRDpGvAKoG1dDAYwFnBq2jS5pd3fn5er9cxF3gS5Z2s0+l0Op1oNAqwFCBN vEUZMrb4W1ppNU2jRVJRlMlk4qfksizr5uYmHA4D+O84Dh/qgXNB13WppQhpkuVyuVgsNpsNveS6rqZp 5LR9ZRG7b9zed4cj0BzHicVipLUjtsuCBEqVSuaPSkOh0PHxcafTwSahqure3t5sNkNb/O5rC1x/j46O 4GLD28BBCDdHo1Fd14HbevCHj0YjTGlse9tSF5LoqLRwI0U8mUx0XeccfNgMJJb0WCyG7YFPyMeQOO02 0zS3LesPMnqtVqt2u43c7IMKZ9yk+/AVVOzBpLJYLHq9nqqqXMVmtVrxAPTJkyfYvTzPo+JCv98HZTsg SryKJ1kymaRsimEYPJbK5/PRaNSfCe92u8lkMjDqSqfTlmXRhkoWjUYRjhuGgWz/DhcWjdCmadbrdap1 GoYBhymVSlEDFxJ7EsCWLPD5goxckgUoFArklm1z8ReLBWaElEeEQQsjHA6TQqmf6kq8qY5dXl76Ubfc aAelZLhhGIDF0I9KJpOvX7+Ga05UpPQSATVUVV0sFiS+KG2H2JY6nY7Exus30zQxPf1EsZKl02nyMMDi Jb2hXq/H43G4GqFQCKQU2/qZOWiUUjL8GqbTKd0uyjqQzefzu7s7LF/VatXzvEB3Cr1Xu3+XbduJROLs 7Gw+n0tOA/eK0uk0bRalUimdToP9zDCMYrG4be2FJ8RXKiyY0MQJzB6B8pXGQ7/fh9KK9LbxePz8+XPb tiGi+dV0i34R9v87HG8Z1f6FEI1GA8EEXtrWw10ulym9FhjRcseFPBKQ5/C3PbJFIpfLzedzLJ3kAOm6 LhE2rNdrqnlDenGbm88jYL5+7cB5gcqaxAikVzudDm6af3mFpx+Y8ETlGH9/NZTuaDS6vb0Nh8OgFDs8 PMQOISX2H8y3393d4bcDHxcYHPAWfPotQIfhWZfL5a+mdMMRf/P5nDI90s3kjgg/fnl5iaY7iRtKMihu WJaFvgPpcaRSKa7xTRaYMLu+vib5houLi8PDw8Bv3P1M2+02HtZkMgFJuWEYKIHh2sLh8P7+PshahBCR SOTXf/3Xr66usHfygDKwMrJarSQOb9M0CUntf1KO48xms3A4TAVTbmAtE283eb148QKFgLu7u2KxqCjK /f19v9/Hcr8jyIa+Mbp8b25uqtUq+VKgHUPey3Gccrk8Ho8JIMwffTqdrtfr9Byl2u62kcD15HivKbpv YrGY4ziDwSDwlnK0rK7rpmnSpo5cKU3nRCKRzWbJXX769CkFNu12GzE6yNyQoQE1xdnZ2XQ6jUaje3t7 2JJ5+XU2m1mWheU0cGXG2AbdX7Va5deWTCbRSCLJHaTT6dls5h/kQC77oR582JimeXBwYFkWKQTt7+/j AsDzwd+Jru/AgiNiLZCgbMuoSbM18OeD6qNer3+nlNvE++NwcNJ+aoP022Qyoed3fX1NgEoRJAPN4RQ7 YgUeGO0OcR5j6IPFCrUDi8AXuG63618yCoVCMpmU6kSGYdA02M0jtKPFYzclF2STksmktMqDIRHtZ+9K bCqEsCyLU7zv7++jtRKZcB717qZt8DyP70zL5ZKaSPP5PPqMONgQVOv4G7u4bds7dCYfNKlBlHjcpXCH Fh3pi+bz+f39/WPkIUAItu3VUqkE8euLiwu6IYElZL7pLpdLrM4PAmZRjAd/DER86CWs+P7hjbWbsEfZ bDaTybx48WKz2di2DTiqpmn+5vZtizvOSamjZDLZbDbD4TBnQA80MMiNRiOeZRkMBvSvbdu6rmObRGKP p7s0TTMMY7VaIQ2O+YKdZjgcSjcZPhbmGjk6237LtpfC4fDp6enFxYW0a1KA5DiO67oAKm42G8/zHMdB EgKdQTyBAZvNZoBfoNdUSijmcjkQ+8bjcc/zeJGu2+3yU8GF4t4t8E+A5iARJd70zZFnuVwuX79+TRKM fuOobUVRTk9PweiKeiKOS+WqQqFQqVSg18NvFJYj/+CX3Dg/Dfxiseh0OnjKdLBYLMbj8eVyuQPhJAkv S5bNZmmTymaz/M7rur5erzebDZrS+/0+NA0qlcp3hOD8fXE4qIo8nU6n0+k2dhRpPkMPYrFYhMNhSVtI vN2v1e12A7swxNvD+p2klbZZOBwOdG7AJRyJRCAOwl9CGz0/EqhKYBgGpvoOuXZwLUM5LDBySqfTu8sW lC1vNps0r8AK9ZX5PbknB6AokZrUarVisQhey3g8vrucCQwgzedEIkGUFb1ezzAMLk0nhBgMBlhNiC7s K1PWkqiVdD2IzqWqtkS8wakt36kFsdvtzmYzqJyDxQQtlMgDhUKhRqPR7XYBSfniiy/8kEMOFXIcB1s1 7vMOmm2IdIs38xFRPl7a4RHyNXowGAwGA3CT4yebpulXbRVCgHKKH7m8vMQPgQIzDk6n0+FwmMvldveV pNNpqAXxwa+qKnc+oNrK/z0+PqbTglP18PCQa9CTSf66NJG3+Yij0Qj1ym2XjfIW3/hTqVQ8Hh8Oh6qq 0pVIZRoYqr3SQSA9CS7DVzaEWOgy413TsMlkwr9FURQplwbuYypDvHr1KpPJbLtXIHQn7AJqiOARvrm5 IX8dXpH08XA4fHBwgCQHIVrATQ5SHNu2c7kcVgzpuRQKhd0UYZ7nUVhCBg/J87zlcomEjV/4DWCRHWc2 DOP09HSxWGiapqpqOBymmLbRaBCbi3gTDHynpCjfF4fD3xgCGiLpbalUisYu/NBtVfzpdMo3ucVicXFx EQqFyuWy5Evy8t43Jc8Bhhmw2GI+2LZNu45lWfv7+9PpFGt6rVYD/wFRI1Bx128PciRfX19jfR8MBoH8 YKlUirKLhmGAKH04HKJeThPMsqxXr16BXmk6nebzeS5f9K7G0QOGYYzHY1pbHcdpNpuPl8up1WoIJVOp lORRWZblDzGpoLAj3nrQeCWFUscHBwc8m0K7ci6X40M3m80eHBzQsv54gNhwOKTR7jhOoVCg72o2mxgG yDTQr5Z48YUQe3t75+fn0m1ZLBZY7Ha4rfzf9Xqt67rruoZh0PDzPA89xolEIjDNI952NCeTyWKxmE6n BKdAF2WgA4EfIp0Qu+Y28I3UxxiPx5vNJhIYfg+bJ7qz2WwsFjs7O6MmJrGdkFQywzA2mw3ablOpVCwW 29/fxx4peZZISOwIZHO5HMSSsNmPx2N/Nj4wja9pWiAKgTsZUqh9eXnZaDTC4bD/hK7r0kHTNAPl3/in hsPhticCFwHErPf39+D74h9EV1rgZ2Hb1OkikYjkvUmbxYOoiMBcFOIrSOjhCE0E8h4egxsjxmQhRCKR eP78+Xq9xsf9soJiZ0fbt2zvi8NhmiYN61gsBjcwl8tVq9XxeIwxDaW009PT29vb6XS6WCy+/PJLDocm Wy6XkkQWxACFEJ7nSXAK0zSPjo4eyVW3w6Cnpet6NBqlljP0dJimyQs3CPGPj4/H4zGlplOpFCEBLctC c0q3291sNplMJtAT8rtltm3zZc7Pr0wMCvV6HTsHzgzNW9d1ebhj2zYtZGDO/gpoatd11+s1aA1B1CYl eN+Vm0tRFJ7N4pXj3RAzf35im6Fwg60UR/iaqyjKixcvsMXyhX69XqO4699UgC5EaurxWSK+500mE76s A2tGVytdPPcLVVU9Pj7mHHpks9lsm8ORSCQkDCZch+VyqWlaJpPxPO/y8hLvoR5j3n8RaCD0xN9QS282 m35aYTKw8dKrGH5I0fkTRf5tj2REAlN6hmEoiqJpGm6C9PFoNFqv1/1wPyDK2+224zjYDqmqRXwbKJn5 gZxg1gn8pThzqVR6fK8yYgld19PpdKDDwSMTNCVRKWoymQwGg0AILSwajTabTTj0HLYC4+FBYIEV5Ct0 SzVNC6zkboNBfAVLpVKA1AghCoXCgz1o/lfz+TwmTiBVGhQKoRXwrtfGc97o+0PPC6c4e9dz/oLsfXE4 dF0/OjpCOELrS7/fNwyDtmEge6XnPRwO/ZuxJOMuIbSlFVl8VdZ9tG4jSci75I+OjnjQZlmWaZrSZQMK vgOpN5vNQE4qhBiPx9T1QEaEQnDLcNAvQcL/XS6XVGa6ubmRmPJwBwLRiPTxbVe7zXhi4MmTJ0dHR0Cf 8d+iKMpHH32UTCaz2SzS9TuY/iQbjUbRaNQ0zcVi4Q9Zms0m7+Z4JP0D30qJD40Hi3z8SAibHaPonVRF YPwuSfqW3NLpND3WUqnkfxvCMl5hhO0YfhBD6Xa7/i1hOp0iFU/LJcXuqAOORqPhcOhvZeIAXrLhcAhk Bnp2yGWkIY3GUTDiY7gqigKAKq4Qy8W2AqLwEaiQgSt2vV6D9x1lWSTewCQRDodJspEqnolEIhaLUXgt ufhCiFarha1LIlYX2/eV6XS6Wq3QHxv4Bso7EslYNBollcTRaERumWmauVwORKjSDZGWIHxc07T9/X3A 6rmzaNs2EKNCiFwuZ9s294Q0TavX64iXQqGQ31+UyGG3Ofo8e+G6rsSr8U4WCoXQaHN3d9ftdrvdLkiV drz/+PiYSofioeY76t6fTCZHR0d4f7vdhmcDrvTHXDyE5fD3dDq1LEvTtP+/LfaXYJghkCyhg1Jik6iH 6EjgUJZWUu5wmKb5jZDI8lw6JVFhg8GAh924GL7WaJr2k5/8RLzhTqDjfIWS4n6IofNvp3f2+32iT0Cz ALI7pKBNJgUZwA9Kvws7ln9zEtv7dIbDIWJ3gP/5SxLzJv1Y6Ef3ej1StwdW4PT0tNVq4WHVarXd6FRJ Si3Q9vf3caNIvHGHrVar6XTKV97RaFQsFrGV0kG+OuTzeRJN+Ka0fmzbBo0jd1Di8XgymeTiXsTdlMlk Tk5OLMsaj8ftdnuz2ZTLZT/7SyaTAR8AxDVAugBuANu20RmLUqBt2+l0GjV+0F4NBgPaCzHSpEkEnAd8 aBCvSQMYbV9+pxB9CjQwisWiX0slmUxChxNKwuKNZJoQolqt4rZLu+l8Pm+325ZlFYvFfD6fz+cR7qOl Ge/JZrNEtyWEODs7Q5UH3Tf8bJVKJRqNwidYr9cXFxdAvyqKEpgMv7i4aDQa1Wo1kUiAvloE6W7A2u02 psk2dRIhBBrHEF6Dr1PCH/T7/ZOTE8p30hvQokxv4ytMv99XFKVUKqExxHVdKQ1GjST+2wvNh0wmsw3A Kw2PcDi8t7eHtlVQEwEkQVOp1WrBoUECAPWpQE2r+XxOAB1KfufzeRzhPtNgMNjhcMxmM6is0ZHRaIRO IiqAplIpuKp8MKMjSVEUkn0Qb4RmQO+LxDAag2u1mud52zhs3lUm+luw98jhgGFhxbgBGwHftDDut+k2 kSUSCa4Hoev63t4eouFvalfg/r5UvhFCVCoV4PuwcIu3ZwKlCiTuBKxQ6/UaWwI/4Q6xVuHTbt0GuZX4 OfiazqN2QDixieq6jg46VKn8mESulLZer9Ge/hiuNkVR/CEF8Gj4+/b2Fqj1wN8iHoG+RM5825SWAAGz 2SwQ+IYu3GKx+PTpU4TCUui2v7+PKOebUkO4v78n3AkdbLVahULh2bNnyAREIpGbmxvcK4hFUajd7/cD xzlWyUKhwKcMqXYBwDsej/HvcDg8OjoC5JNvhJlMBgUIaOjQgnt/f+84DhpnqDWMG+1bx8fHvV6Ptj3p OgNlfVzXJcLpfD5vmqbrutFolFODSB+h/Rj0UPj7yZMngJSuVqtEIqEoCr/UwWAAj9m/N2Bjxr0FqmY6 nTqOY5qmf+6LN3IKlUrlQT0gz/O2JRRhiURif39faqIRb1cSYVAGEW9uFw622+1EIhGPxzFUSqWSoii0 dnU6HSILCIfDh4eHrVaLw26+/PJLUK1Ik8h13aurqx3FUP+0NU0zcF3yPA8JCfxLg63T6ZycnCiKAqVD 0MFdX1/jS6GSw5PfVOUko38pMiHk03A49BfL6COGYZBMD4ctky2XS79LDXnReDxOPeTT6fTLL7+Ekw2i M8/zdF3/jsimBNp753AIISqVCkJbtE7t7e0RhoMkzV6+fMkVsf0mtVS8U0LbcRzbtoHx2faeHYMGGAXk ZpDt3JFpB76BzonlCWosOBiJRAqFgrQKJxIJ7pZR8mMymQCM4geWEhwd7BToi8MF3N7eWpYFfxyrD+CQ QgjknGhNvLu7S6fTfEXmjhFJPFCVJ5PJBLLpjcfjwKqzdFdvbm4cx9mGMwgspgIAiBVqPB7D50skEvP5 HNxryCqRyGomkwFUftvqiX2u0+nE4/FA7ycUCgU6WIDL7CBy3mY71vHVajWfz0HOwd01dKnQv/A5+A2n CJKaS3Gc+zSz2Yz/OxqNFouF1DyFe4XslHibYGM6nZL6oN8ymQzogBOJRK1Wq1arq9WKphg8WkmElgyZ Z/wN5IdgVQaiBqH3B8rECCG63W6z2YzFYnC1JQ94NBpJRTH4DZiVuJl8tFMDFEyq2my7Bm4QTgt8CVeC ukzgKlQul6UWcfKDpa9erVadTgfvBLu8dA3hcBgzerPZYNaHw2G44wAXd7vd58+fHx4eIvfsOE6gRBkY TaBtSdc8HA6BY8Nm7P8U2FACbwLg6jQB9/b2ONOjFIMBH8PZSuBYL5dLyoNeXV0BOc6nGDUzS9g+UgOW rsowDMD//Q0sGPz8IzQryb/5CgvCt2nvl8NBnArxeJz0IEzTBFGS5F58TcWNQONqk2InewdvtuYGDUMJ FLlYLHjyn3edBWKwi8Xier2eTqe6roOQg15yHIca3ijNQzJd9C3+VAShQdfrNd1Mz/MgQSmEmE6n7Xab gkVaeaVJJfWgB94fqvKYpnl8fDyfz3Vd5wkVKX+Dr0NpU6qSWJYFh2Oz2SAszmazuHg8AviduGxVVan/ ZTAYoIQ0GAw4mKPb7YK9A/8CfekXfhQ+rFy/30dY7P+9uKubzYaEqXAz8cfHH3+8LefEDS6R53mka8+t Xq9zAuZKpaJpGv0KqVRh2/b19TU0LYUQxDmN65lMJuSL8KEo3YHAbQC3Ebxb0kvU+cINO1AoFKLIFUl+ DmDiUnBcz5YssGzBh6X085HWepDhG9dADtNqtfryyy8pUHYch6bMdDqNx+PAJdCsR/GFn40IWMVDNDmw wWAQmKXTdR3Pl47AXwQtJnwyTdMODg6Wy+VgMAiFQvl8nndi858fiUToWyQZgUgkghxPOp2uVCo0R/zs AFdXV5VKJZfLBWYBhRCEa+HO93w+p402MAkhthPJCx/pjgRwkVYeDLBUKgUGT6q8S3VkIMe5D5dIJDgn m2TSzeTtZpvNBglpDD8SrpM68yWbTqcgYt/2hl+uvV8OB61K6EDJ5XKYBnh+Uj2SDBKa6EF9V1wet8lk Io3+Hewd1Gytqur9/T0mRqVS8YcjqPbRv+VyOZPJoC/fDyaFIVGPVeby8pKi0vV6TW3cJH5Ly7Gkheg4 zraWMwT6XOETFsh7xoNOkAzyV8EI6YegQw8iHA5TQMnN76YkEgncirOzs4uLC9q6aMukdt92uw2vDi08 4o0vsre3B6QbPsgvScpa+3PR4k0Izrex9XrN1xpwl0lhEIygAIlEotlsRiIRaXEk1sVtJrEC5HI59KAC eI94V1IgazabEhUj3z5x/btrW5vNhl+n4zhHR0eAPmzjsAqEXoLRKxBTPJvNpG0DAkP8PXzUDYdD/xQG hHOHA+H/SKVSgdxJIpHgwBf+HtAtSB+kRhJpSKOSlc/nARWPRCKVSmW5XNINAVIkEomAs/wxfQfbWH/K 5TKfIOPxGP4i3AU4r5hc0ICUPg74ZL/fd10XrPbbLoBG+2g02q3rBIjVDrYr/lscx7m4uADnGH8PXE+M rgd33GQyKWm56bpOVTzoegKhBZF6qmLEYjGeppIWZDyXYrGI8yQSCS5QEGjQUoG6jbSUIRrEKKJHhpQz eDgCJ0Wr1VosFpRb3X0fvmV7vxwOaZnG9k9Tut1uU3TLjcjOh8NhYJcsKaTs/nb/lNvdHk3N1vv7+1iD wuEw8N6E3ITcGv8UwF/gcdrW9wH6fVopwP4pkYPd399nMhmookDUUVoO2u02EBiBVy6CNg8gnlqtFtRq QLwRiUTAAwjQvnQbKZHALR6PY/vkOuncMpkMiqD0WYq5QdVKqEnUzgmYCZvP56DWpiN4UttW8G3t7zAM GH9jBWCwpPEhhJhOp1IhDxVoesToLSoWi9Iq//r168DYncwvLhWLxe7u7jBCLMu6vb3llwesZalU4g6H NJxozwOqDu80DAOXsVqtOB2ZeNP4t7e3d3V15d/da7VaYBWsUChkMpltCBj/eWhAuq4LiCufZZPJ5P7+ XiLxC4fDzWYThDGTyURyHwOn/P39PfyY9XoNtGwymeT7EKiN/RdMe6S0teBmSgSDiUQCqBpiBAZruP+0 gZZOp+m3kNcuXafwPVYigRVv1K39Z8YKI1gp7UEDYynXApzNZlIE4me3oxnH63fX19f4oDSqPc+jeIl4 gXnOgKxSqUgzqFQqoeIG0Cgeh23bnuf5OWboBna7XfJaMpkM9XBpmvby5UsI2L5+/Ro0SNs2CBrYvV4v mUyS2hw9ayl8arfbiJeWyyViYBRx8Cm4pEKI4XBILdnfHXu/HA4/j56UcpA8ABRB+dDkokF0BiQYePto oAWi1bCa7PgU+hqgkUbtlIZhPH/+PBQK+dsoUqkUeHMxTxBlSt4uokz+qW63e3NzIwWsvV6P6CBDoVC1 Wt1sNvyD3BXgqozbuj8Mw7i/vyfh+Gg0ivngByFS56q/xskba8fjsWEY/q8DAxuol4Fi4cEQBBr4+6VQ CUwnfDPDQ1dVNTAUrlar0WgUZACu63JRGJA5oumDfwRIF5Bq8Fvq97ckh3KxWEhjEhYYu/NfxFUGNU2T 2hCkEga2E+zEfhwAJPe4A1qpVNAZRM17Et2WpmlIACCWlU5YLpdTqRTfoXG1+XweO83j65s0kF69ehXI zdDr9VBF5dcfDocxPSEwxt0s/7R1HEdSEhdCgI+Yvr3X6/E7oKoqypcUEIfDYSg4Wpa12Ww+//zzQJdR URTsgo7jYKFwXRdnTqVSu/V6AKEFKEdRFNd1gZmlMea67t3dHQ8z0KlEA7jb7SKrP5/PNU3zr1Tc20Df R2ADGt033J9MJgN/izpo/BYKhUBkAPIhvnFKHpJpmtDP4x5/r9dDPGMYxosXL3q9Hs9nSNMH4kH4m5yJ xWIR6DLChcU95OeUKDQIhyTegEXo4ZJUYT6fl9a95XJZr9dxMdtw4lIgBOBXMpnM5/NSexF4kr6CiuQv zt4vh6NcLvtlgncY6LH5EWlLRusgvXl3G1IsFnv69CmmN8Yi9Wp6nkekF3zU8gZ9UiMTQqDNBM1m9OZ4 PA7Aub+RTCLd8+/i8MP4Al2tViXA5t7e3sHBwfn5OR3n0U+tVovH4+v1GupEwrd3ZjKZYrHIiyyBCRhU N7B21Ov1TCbDGdtKpZLUWLS7u/2RDCiqqpLuM2AB3BOlnQAQY7C5mKa52WyWyyV6VcSbTZoIXsUbEmsh xGKxyOVyfBtbr9fD4RApdOnn813EX4TSdT0wppT2Hj9Jea1W63a7lmWt12s/6TI3Di1KpVLIsX/yySd0 qahkSZ+SdiPp6QMN4MfBnZ6e0oA/Ojrq9Xqe5wGKL95AOGu12g5NAKrOmKap6zrISSORyA5NH8SUyWSy 0Wj49+xUKkVPyk9PIsmIc5vNZkiPr1YraWyfnJz43w/QBvkll5eXgVgcWgQGg0G9Xid3czwe7+3tYTuB oCPPOFIgxCE7T548wfuxHUoDCQJyPCQDnzKNFsxH/hGe2EMbfKFQgIx7YA1F4nHZMXnRjnR8fGyapnQz OfUtEpb4e1sXSSgUKhQKwLrhyGq1ojZDIYSu6zc3N/DGdF3HkNiWHu50Ouv12l8KR3REw0mKXfndoBJ5 r9eLRqPEfSLerKi4hm2kKRzDEYlELi8vIaKJCcgDv+l0enV19Z3CkL5fDodpmpwOz2+r1Yrv99JmkM1m pTKttA7i/ah8o5RYLpd5cKZpGkqzfO/h1Q0AtgnAzIMPKWOPkQ24Bo4YhnFzc7PNn+XrbyqV2gE7SqfT pVIJdRY6iH1LmkXImWezWSBw6eZASVy6e9DM5MX7wGwtdU4KIaCGQC+BAEe8Pals297dT/RII3EEf0cJ 31yp00cIEUj6GagLOh6PG43G0dER3+mBCJEyAX7KOP6GRCKRy+UCHQ6+PHE+tEajgQtGkB3IcihJcwXi fvjThKcVmJmzbRv6Z4vFQnIvuOAFrjafz/PvImCvxKF5e3vrVwkhPbN8Po9vofx2r9cLhMJINp1O+/2+ H4cE7eXxeEwZODICfWezWQh28N0C3oO/y3EH9+uDzSabzYZGFEBgHKGJ2p+E9oUXS4EQDxu++OKLUqmU y+U4yTr/LvH2QpFMJvmAGY/HksNRKpVc18UlgVIFv5d/kB73wcHBNp8AbysWi9Ldo6rc8fExzTVVVfk9 p5vD+6v9DgH3LKPRaDKZPDs7Wy6XvJcHyzIUG3Zs0qPRqFar8fyfruvz+RzRFEgU0cZF0+ru7s51XeQz eBBL1xyPx0ul0mOgOaj7z+fzcDhM+STbtsGihgujeAke5FfT3/5F2PvlcIiHyG673W4kEqHHk06nyTOQ SLRgGLjkKSeTydlsRqVxIYTruv61UlrQpSQKWPyEb+/p9XoUrBARjWEYyJqGQiH/SscNOVW4I+l0OhqN QovZvwNBU1cq1uCaeT8t2WAwiEajuVyu3W6DNcjfTQCKJ5pdiITG4/HNzY2u61BUF28aBfkH+fOyLItU f8lxAchjf3//63vxdAbuCcXj8UdSiMK24XLAJsSZkaLRqMTFlMlkuOdEBfJYLAaN71AotM1d5vsET8+M RnEe0IkAACAASURBVCPszZCz4h9B2gacY5qmeZ6HLZYvzZ7nzWYz13V5Jcu27VevXpES1XA4RMqd04Pu MFVV6/X6Ng3CQIvFYpLoBqCL+BuXwX0m5P8evJht+31gqpJzBg4Gg2q1ahiGpmk3NzdoW8hmszwJD8h2 LBbbwS+XTqfpRz2Gwiewk477uKhD7cgctNvt3YUYbtPpdHc7jKZppVJJWsH6/f7p6SkcskQiQRhn/93m vPKVSgVwSAn6A+t2u/xx0/HNZvP69WtO4y18qjeweDxO14kZHYlEDMOQoKNCCL82kN+wVqRSqbOzM4DK 6Yegw1YIgUFO850oYjnBDJlt27tJunj6BNANnujF2giCaVIqhn13hFTEe+hwBCYACM1kWVan0yEXIR6P Hx8fW5aF4n3gCUHjAcC2YAggmH9gLZfLHZR/grkj/jTybDZ79uwZhB46nU4ul4PcSSaTkbwNwzBs2wYh NOD0EHuj9BoQUkh0+6/B75Zh0dyWSEC9cxvBAwBc/FcDWYI1Yj6fX11dHR8fe54nwbvS6XQymeT5bdK2 5isCQj0gNwMvYIdBoxXM5QT+5yvjYrHwc9XvMC62Tgnnw8NDHKlWq5qmoelJGgZIFNG/XMB6tVo1m03s bdu+l2Ij6J5LrxIvCDcA2S4vL+mCi8WiNM6JCgmQT17iQTmp3+/vHs+Btq3OBcCB5FuARA4leVpkpY1Q ekCxWEy6CaZpZjIZqaK6Y8BgnoI/BtoC0jVLHvl6vZakdqLR6G5QlxBC07STkxP0PmxTESNXD6xiYLwW QhQKBXhsfFZifdsGNoL5dyCkeQLhFHxSByIQ/e4Lrmp/fx/tzXTPr66ueLWO2pVBSovzcM+Sg0w3m02n 01FVNZVK5XI5SCiLLYUP8AsPh0P4ysg0g/d2OBym0+lyuew4TrvdXq/X/rsR6G3s7+/3+33cUl6kgFgV 9/Dm8zmgftsYdJC13UGH43nexcUFMKTFYlFV1ZubG3w16PLwNolokcODtp35l27vl8Ph10qG8dVK2uYD uy6lz1IE44/+IcPBa95+wCa3er1ODkfgJmdZFu06w+EQcS3HA8L29/ehdstLsKjI8vBd07SjoyOI2mPb xvFMJsNXn0wmQyCGo6OjVqsl/VLowW77UZFIBIBtfpDHo/BvpDtPlZpmswlq83w+v41rHH4emle3XYbf /KBgxEbSXrVerx8Zi9PPLBQK2WzWv9yEQqFABXDhK28HVuv8PijEJlRVBbE3EbeTSQTbZAQe5MW1xWKR TCbRvos0GC2Lm81GipsxpB/kY61Wq67rxuNxmnqB+xYoF/F1yBaoqopiGfUuAXSJlj9/owFVrDKZDMqL 9BJcXgnPuIMFR7B5Stt2YFM3N9u2oQLj/5lAfmAnQLEyEomgzXWb3t5yuQTHay6XAydHNptdLpcgUwcO FO8sFotIJxiGASARZg2aUSU3Asye6/UaQTAo5wkwi+5cCSYMksNIJIJv9DwPzwUPxZ98Wi6Xn332GW6v hKR59eoVun647lKv18vlcnRyOhX3+wlrDJ4bIUShUAC423/r4vG4NK+Raa7X65QmIa0owRRkdhgANEgh rFarm5sb13Up0wwaQLxzs9lcXFygwSeTyVAGhdSw8Uwlh0NV1YuLC6AxiCAfv7pQKNAg7HQ6VC40DANI lFAoRN124KidTqN//MfZP/iDYrm8+Jf/8rtSTxHvm8OxrYOLr6Sr1QolZJArI4/9yPP7NVaINY96WHYk uCC1gL9d14VHz2dspVLhqx69JK28lJl3HEdqw/E7v4BVuq7LfYhQKESqueJNzhZzVdf1w8NDTDm6mB3e hngby03G985wONzr9dLptNRJAZA8NDmRFEkmk4Fq47DBYADeTzqCLhXDMCgKtG17PB6DlIkY1slub28h lc4P7vY4ySaTCTlV3W73MTLTQggQlgBqx4/H43G6G8RQmU6npXWqVqtVKhU8O/Qw81cBd/XTY5umSe2X PMEL9BxO0u/3KTHDDZ4KqKDFTsm6SCRSrVYpFfHixQvO/inZarWiy1iv14PBIJvNIhbcbDagNgfhNG6O f1bquv7y5Uv0B0oOlud50O7iB3c7kTtATtvMMAwMP3io5BAQ6rNSqSQSCXoc8/k88A6LN0Ur/D0cDiuV ChdpohuI5KWqqkgnSH03uq5LNPAoZqHjLJFIYFe2LAvjhHiGzs7OOMgjEonQFCB4EJi4cA/L5XKhUPA8 j38KyJtUKiU9i1arlUwmpfIKfoXwlV3gXd3f39MKw3UbgFqAIWXrum42m3UcR5rXgSUM+ltRlJcvXwLt S2kMySaTiaIo9XrddV26q+PxGKjnZDJJVAWw8/Pzcrmcy+WeP38+m81UVQVDsRAiFAoBjIXFORaLETc8 LkzKdfHVVbo28DeCq2m5NH7v99zPP09+9FHq1avk6enkr/7V2d/5O7HvDmJUvD8OBzqqd0RjyITbtk27 +Gw2wzr+SL1v0C/Sv/F4nCe3+/1+Pp9XVdUwjMekOjudDu1eYAoHLceD6etisUhbneTmZzIZJN79NQLb trnDAVIdHogPh0OuKBGLxXZ0AcAgN7+jrk999q7r3t/f39/fg58Y4SDFLpC2oqirVqsBNIB/T05OqPke P81xnNFo5Lqu4zjkYgJ0tk0Ligw/CvTt0WgU4iDbZixqMcvlcjabhUIhP5VTIASMq4SoqoorHAwGvF9D vAlS8bZ4PH59fe26biKROD4+vri4oO/ivpF/j0RpmS/iEDmjCwN7qed5nucBuMCj2/l87q9u8FXesqwd Gr8kaUbRJB+cUHoj7Rj/TR4MBnA4iJNtOBz6ZY2FEK7rgixHKvoQ5glSAPwlvzwKt+FwuC0Rtc2og4Po c2BEkCCEuL+/53wSSPgHul9S8/nl5WW1WpX84PF4jIeVTCbr9bq/3OnfZaEzgIoAf3UwGPDqEogBsX1C ZpleorzRarW6vr5++vQp/vUXVubz+cXFRb1ePzk5efXqFQUYGI2SP03PFBA6GlRobQss+4o3ur4QpkDp gX6m9M7dm65lWVdXV41GQ1XVRCLx+vVrLIBSbQVxqTQqoAUogtqnW61Wq9U6OjpCmZJAzWCYrFarAAVK ckKz2UwC+fF4mA9+RDiOE/pf/yv5u79b/t//O3dyMj05mf6tv3X1a782TibtTCaze5x/+/adczgkXtiv b6FQ6Pz8HHVEvh4hUU9+ZbFYDCTBxZr4mC/i/aLCp0Mr3nTBmaa5zWmo1WqKotze3gJ+wV8ipycQ8MUX x0qlEovFwuFwOByWHCzP8zRNu729xV4ODCO6QKW8q67r0sacy+Wk+/Cg4wxQYaDUFiwej0ulmW63++TJ k2w2y4Fj0u1yXffFixdIOE+n016vR0hMFLlfvXrl33qn0ylXZA00nk9aLBa8R7Hf7w8GA0VRAMLApQaW 58hAyBP40snJCViP+Bnm87kflYxV7Gc/+xmRlyCApjeg4RaPRtIrj8fj9HuxuGcymf39fVrOLMuikLRQ KPjXJtAQ1Wo1cBciwqPEwGq12nYHVFUtlUrIIU8mE7qqTqcDKP5gMKA+GjzxeDxO7GGwdDoN71MiwoEe WDgcpgFJ+CGp6iH50PT36empoij39/fga5EGNrDM+DsWiyF5MB6PHcfZtvOJN7pl0tfNZjOpPOFnYAuc 0X4YAbZAHpNQLw8S70igzudzoLW2Kc0Srw//3kgkIt0EPA5KPJBx59VxHOlTT5484TIoy+Xyiy++wI5L /k0qlcKnILMn3igtw+vliHvxJjTys4LiPKi1SX1GANNIVRJgn3mRS9plxuMxuvOEEC9evMARHsmIN7Q6 0g1Jp9OU/pG6vWCg4QH3Bo6ADJffOmmhGI1GkqNPhv1oNAr98Ifh3/998X/+z8uPPkpnMuu/9Jfa//Af flEovLVrIJzwn+SXaN85hwPMvt/sCQm1hDU9HA4jpwdehx2AUCGEqqo7YjhufgAHN0Q/XOlHslQq5bru 69ev/ZtiJBKha/Bv8yjWQPXDNE3P8xaLRSAiaTQa3d3d0QWgjW21Wtm2zedJoVCQHgFqw/P5vNVqAYha Lpd55xsQalIB6PLykkta+E3SEYB98cUXkITd9in0ZC6XS55POjo6chynWq2ORqPAZDg41vynNU0TYAVU WCgpms/n6Z7PZjPCwUBohrN7BRoW6x3NAvy7YH4mbNKT5E9H+l7XdXFDhBDwV5CSzefzvLkUzwWYFRDG lMtlDiOF+qgQ4vDwEIAYyKO32+14PM7XdLrIHbUt0LFACk4S4kKqjzu4nU4HsXu1WkXNG5i7YrGIrkX+ cdu2cQF8UjxYgJeMA6G63e6LFy/49iOhi9Ah6e+f4haLxaBFgmb4fr+/7ebwVULXddu2kXyV5jWAHTwE gqbdarUKnBrAZPjxYYHs14vFYr1ec/cUO2LgBeM4IBdSPsZ/cjDJSsjcTqeDSgR6XvBYxZvcDyARwHP4 TzgYDCqVSqDCXzqdDtwpLi8vA1e/8/Nz13UpkeOHQ11eXi6XS8rA+QfVer3G5VFuBjRxo9EIijOlUknX dWmFn0wmd3d3UlkWOVH61+8WrFarbDbb7Q57vdjNTbzVirda2vW13m4bo1Gs3w+fnDgvXuh/7s9d/9Zv fdloBKOLAMoJfOnrWyCpwYP2nXM44Od+gyeUBtZqtQqHw4Ao00GIqvihQ7lcDrVJ8UZxGLyWVJbG8qeq KmjmeFzC/0Vz/O7fNR6PeUgqhEgkEmgdLBaL9NlsNjubzeht2WwW+wRdEhDO20J5/6LpH5HdbldC74Mf qdVqEZTJ87xarWYYxnw+TyaTiUTi9vaWrwuRSISWy4ODA7A5hcNhpCvp7gEWKm2i0+kUeZdAmF46nfY8 T3oJPRR+BT4YnhqqBpzDQwiRy+UoF5pMJg8ODiaTSSwWy2QydM+lQHkHeDASiRwcHCiKIgWjko3HY2lV SqfTqVSKPkKVcmijc3olsKbi41R0B0ZhuVwWCgVVVT3P6/f7HDwPh4NOgphYWubw7YlEAqmd8XhMWa7A PsPd4xmukj8wxeLLV9tQKESn0jSNU2h4nidFonCppQt4V5oB6QleX18juYh/+W0xDAMChIEoJcxQUB1s 02X1m6Zp0WgU7SegucMGyRsQJOq5ZDJZKpW8N4aDPK+pqmogmRvwiejZwU/QdR15Kag1oYkDD2vHNfOM I9wCwzDq9br/U/4jkC+gx4qQQFEUcnc4UZ702V6v9/nnn/MSA5V44KbAh+BFH+5tSEu6ZVmKonQ6nW3B ABfi8TdS4eYvl0vy6haLBWdegfOaSCTa7Tb9qM1mc3Nzc3h4yAFqqGPSmQ3DEKL+n/6TePXKuLuLL5eK 40QmE6Xfj8Zibq22qFSWpdLiz//55fe+p1Qqy/19V9M8IcRspnW7ymwW9vtPQAd/p3pixXfQ4fjGTVVV Sk9Fo9HAhQPC1jzHmM1mS6US7V7ASIo3+kaZTAYa8XxRSCQS5GE0m03DMEC3J0m+ZTKZbd6ApOaVz+cD qY6R44XWGqivOT8p8Or0fvRcUJjor27CVZIuybbtvb09Ij/FfZCEu4QQwHL68+rSPF8sFsQxUC6XqXN4 Pp9fXl6iIfby8pL2deRFjo6Orq6usHwgIl+tVmjrF76YgH5+NBqVWnCFEMTSAfKGcrlMiRBouGBxgRqZ v5Xx8WlJQiTsMP/mFI/HJZ4i8oahjV6tVhVFQTrq4uKi2WyenZ25rkvZXY5NwfWTQ4O9LTAHUCqVKMti GMbl5SXIufET+Ezp9/uSwxFISk1LKuE8AlFToJ2mjUFKiQPJC+p3PLWjo6NOp4OimFSAgDeAdEIsFkul UtuosrlJlRHom1NFKZlMAvyvKEqpVOr3+9sw0Z7nPYZ3RLJ4PE7f1ev16D7wBgQ/wXEkEnFdlztbEiVo 4HcREC2VSj158kQIQQkny7KQun/wgqVNK5VKEXTDb/7xv1wuORnMbrogv7VarePjY5rR5Afc39+ToBpg mzjOMzdYLjhBs9QrB772wHRUOBwG9S09IPwEaQmVsilQWtnb25PUf87Pz+v1OiZRJpMhN9rzxO//fvRf /av4H/5h7sMPx6en/Q8/7BvGJh4Px+PLXG5tmnJxTddT7baHuEjTNMhY0qumadZqNdTCvoP9sb/6DocQ 4vnz5wj6d0gVU2M3TNM08jakuS2EGA6H/jVoNps1m01FUeLxOOe6liyVSkEGNh6Pg7mZXoIyaigUQpGV exu2bUNvLJPJYPvZbDYUdiwWC76n8q/L5/NAAvKJUSwWp9PpYrFAS7qiKChp0xsIbsJPxfXKsazgqvy/ MZ1O8x2O0omdTke6b7Zto8ZZr9dvb2+RkUb2FUl1KBfk83ku5UDtzeFwOBqNSqKI6FWjgE/XdbAp0Bu4 QMlsNhsOhycnJ71ej0gkOb2pEMIwjFqtRrIydFzCpYsg4Bj9zMFg4HkeOhulV7EuTCYTrFZSmWmz2USj UZ6Yubq6evbsGa8l8x307u6Oc1TYtp3L5fwOByRST05ORqNRJBKh8spoNHr+/DnqGvRmaVB5nsf3dcMw 0Efjz7JKdQH6uKZpkPlGeE0v8cb1xWIB50nX9Uaj8cknn4xGo9FolM/nqbkDmxn+hp5zJBK5u7uTXN5A wWFuGISKouCuohEUL0kfRLkKfCGP0S3b29vD722325BI5MsCz4kCXQFxEwk2CIJRrEKGYfiZowKLCDzF NR6PdxA/7DagKGg80FOG04lfRHMTOjuDwcBxHHDYrNfr6+trsGztrjuLt3umyLhDgCQElgg6iDwr/jYM g6ZDr9fD7UIVyT/1JMJcgvRS3iKZTD558gQAcLxTCj+k7CzGz2azoWF/dxf/n/+zMJlEQyHv+fMqMhOw y0vlP/9n1bZDf+/vLf71v55OJte72/1gdH9Wq5W0MWHburu7i0ajEAxCn/PXJ2L+puy7ch2/UAuFQsvl coe3IYQwTZPv/RhVruteXl4+yDRA5nneY7QcCcdeqVQQbaPhM5FIQKLJtm0+DVzXvbq6Qh4Yi1GhUOD+ ARWYKV9K1u/3FUXJZrM0TPP5fKlUkpwhdNAMBgOgz6QwZblc2raNYAhzD1GplJbEKo+emng8Dgef8jST ySRQ2AnOmaqqJNRi27ZlWZwI/PXr1+Abpn/pzqxWq06nw1sncB9OTk6urq7Qm3BxcaHreqlUwtPx10RG oxEnkQSGkb8hm80ibTubzTBOJI5nfCnvQYA5jsMbjrrdrj86BBUxuW6NRoNDxnBOP2B+B1+kpml81W61 WtVqFXxxQohYLGaaJp4mFHakJZ7TJsKkJITkf1iWBcFYP8c8KpXr9RrrIL3/6uoqmUzCwYIiINIJfPnG NVQqFano1uv19vb28EVS8G1ZVigUOjk5URSFq/aAMm7b7RJChMNhhP4SoTCp4cBM08zlcrvBwv4zY9T5 GYfF27ot2Wy22+1iy/GDRmlrQZKVv8TdKeiGYHa/fv1699pFwxXZDj/PLBmEeGzbprZzktWdTCaTyYQj rFH2ktJ4SJLxhUXXdcRXcIj7/f5yuRyPx/l8Hv19tLwE6k7zf3mIL6WvLMuqVCo7nC3uzYxGI+QaKQ2D 9Akw+Lj4wBwqrNlsYli22+3BYPL//l/uP/yHxmefmd//fq9UWm02oR/9SJlO7c1mA2amZtP7nd+Z/cW/ uIbLrevlzWbzFXJmZHy48u1st5T0t2nvhcPx6tWrQCoIsoODg0QicXR01O12wRmKxF2r1Xq8tyG26MFC TYqLNHIDpQH9S3j74XCImu5ms5GED4A8ldKA20QaCcGOiA2tqoHv5KUftAcDdcGT51LrJmDbFEriD2hp LhYLdOHTmwOhD6qq0peCl5BeklaZxWIBdIK/WmlZFmLl1Wp1fn4+HA6RB+IxLlpCnj17FphmlALKwMKn bduQuk2n0xAskGJfgGqlXg9OIUDnOTw87Ha7tLJIiPRut0u8bSQmzpMHkUhkMpnkcjn6LZyorVKp5HI5 HmMJIabTKY1kVKb4vhII5iDjrh6ZpCY/mUw+/vhjIUQ6nQbTgxACYKNoNFosFhElE+yfAm5+kSgp8m/p 9/uxWMzfl05TKR6PU0wci8Uwze/v758+fcpHZi6XAxX0ttWcBlW32y0UCr1er9PpSHx6xWKxUCgEKoju sN0lNl3Xkbdfr9dSa/rjjQ9pJJ8MwwDTw7blK5FIkN7vYrEgFwqeH/iLgQ3Ho/ezpko5MwlP6t/gkeYE 0hN5kXK5TLlPAj4LIXq93tnZGeIT+Bzc5yP+GG7czfUvs37nADoPgdP89evXUtqAPJhKpQKF3ni88H// b+SHP1RvbvTlUlmvQ7OZEYmsG41pMultNkavd/Dxx8/Taftv/s2b3/mdjzTt5xXten1FaOV0Oi0VUiOR SLPZ/OlPf0pHpL6t3baDW1Zqe/4l2q++w2Hb9g5CaCGEpmlwFFB7QwEFG5h//gPwpaoqukLEG/kooKal 4IAnSEzTfJAE0/M8PlGn02mgNGgymXzXVQ/BpWEYiBd3vxnwWPwNBW16SSr6BsqmcP1xoHGJTJ3/lng8 ns1miURS+BrVpPdrmkbaIkTgQYYV5/Xr19jdkQfyE7CCL1yalrqup1KpVquFB0piOp7n3d/fA9hRKpVQ 0sJNiEQilUrF77uArQTJW03TVFX150jREZNIJJBtRvzE910QNZ6dnXF3DVLjt7e3s9lss9m0Wi3XdRHI wlErl8tQngS/ULlclhwOfg3IqKE/QlVVVVWRBg+FQsh1kYOOMp/wGdTL/ICJ0WhkmmYqleI17MViwSl0 t9l8Pt/f30eYSwcJLQRFQCFEqVSiOx8KhRqNBsBxPPHApUGFEMPhsFAo7O/v+913v43HY/wuafAAlbz7 s9wMw5C0Gx3H6fV6juNQSAOe8h1RDUi3AgcSrFwu+xMAi8UikUiYptloNEBzJ3kAs9kMi5VlWbwqKlHX e54XuGotFgu+NkIgXrps/i8kV/C3P70qfND+2WwmLXHAihLvM/idyRXgMyWVSu1IEiiKYpombuZ6Hb68 1ONxt1hcqurPL+CNEF3k+jp+fx/v9WL9vjqbRRTFi0aFZYnXr7XXr5NPnsRfvux9//u9RMKJRNyDA/3+ 3rq40NfrcC63zGbFb/3Wp83mWyFWs9nkF0bZFOmHZzIZjHkq8JGVSiVil/bbDoan74796jscO4StYWgB 7/V68/kccG6MOdACSmU/bCSJRIJWcwS+6E2QzsyTn5PJBFvXjivx60H4GcFrtVo2m51MJl9hbOF6dksE CcbtI94OQP1X+GADM0RDIKINNXCIcGazWX/kB970brfreV4ikYjH4xSkAhtF/of0TEnagN+r1WpVqVRu b28lblb/fZvP54PBgPK3CLZ0XW+1WvTzJddqOp1WKhW/swWqDwJ27O/vS+gBXq5CEIm/EYzyFtDZbCbJ hcRiMT7G8O2e5xFLhxDi2bNnEl5HvK1JQV9NwqdgB5KgzcfHx+PxWFEUf+WIbJsDgTvJd0H4YUjm7a5S Q4Hz+vqaEnhIzmuatre3t1wuJVot8Ya3ccc5hRDtdnu1WjUaDWkjhIJJLBYbj8fYQSFWEngSPLhCoUDX 1mw2ESgHBgASf3E4HCZd6H6/Dya6wWDg9zZ42w76KQ4ODoC7Gg6HqFoWi0V0aA8GA3/ukFJW6XQaGU1+ S8n86kWSoQwn3WHP83irM3BgBO6G54HWesuyEolEuVzmHR+WZU0mE8g9kpvCc8OpVMq/sKRSKSlGr9Vq pmkClc8fayaT0XUd4B4+CEGSsV67f/In9k9+Uv+jP8r++Mdp09ys12HLijYadrO5jsUsy4pcX+t3d1qx uKpWF9Wql0xOK5WF44QcJ5TPOz/4QffsbHp2luNSlKHQuFq1P/hggJvQbDb7fXM+jyCjHA6HFUUBXo3/ Iuk3+iUIJpMJOXP5fH6Ht1Gr1TKZDNiJcIQnPHbM4m/ZfvUdDpBtSBUHKfvU7Xb9JYn7+/tnz55JYFIh xGg08nNdDwYDfz1lhxbzNiNAPgQO/Ihuy7JSqVSlUtlsNoGtB41Gg39K4l7cwQwRaGBBpgSJVI55DOe3 ZVnD4TCZTEKvmc5Auq/oQMFqDoHym5sbkPTRSZbL5bbUYrPZpJWILlUIkUwm0eoC1EU4HE6n09tEIKXj 8Mz4tj0ejyUvB+0t/AgSSHzvgZIt/Yssd+AFSHygIoiEfrVa8bNhkeWM4EKIVqsleRu6rmuaJhW20TeL v4fDYTabxZaArD7wuX7ddsm2hfvwqvntov0A8F5+MZx6gcqOtVoNtLDijcsL3q1isQjBrUQi4RegJwYI XdcDUy8ohPGDYDvI5XLZbBYOn0SJoSgK5E6Iyj0Wi52dna3Xa+7/SaMFBtqr09NTyo1xg3RRu92+udE/ /jj15ZdGr6cahhMKeZ4X6nRi43E0HncymXU+v9K0hOeFk8mips0jkXUsFisWQ/l8/OpqOBjEc7lwqbQs l5exmIvk3/n5OSRL6OsajQZXLsVL28RyySKRCDySVCpFGBRpshiGQRoIyWQS3n80Gt3f3wdnD7+fs9mM XJzlckkhvqIoz549G4/HUD3lDgdk6/nKg3ZrkJtVKhU/IhKJkGg0ylUJx2P73/27vX//75uRiPvixfgH P+j99m//rFhcCiFsW3/1KtrvZzqdjWluyuXF06eWpjm5XE7X9cC2GkmKkr+ESrTU/uO6LqcRwxrO3zAa jQJhRpPJBI8y0GUku729hcYNKN3K5fJyuYSvg1Trtg9+y/ar73AIIZ49ewaUOJa2arXKy8ko2QZ+EO2y nudxynOxXTRVMuzQGCWQGnrwI7qu00oauByMx2NVVcvlcrVa5Z33wJyifY6/v1gs8k6KBzs8x+Mx3wOQ xkwmk5vNRtM0ab1GQ+mDolbkBCCqw99EjjSdTtfrNekyDIfDwHnFJel1XVcULGyBWgAAIABJREFUBW4Z DxTQqgOBOnLqQVxxe3vrlxQh4wMgFov5vU8/mwuWoVQqBYJzIYRlWRJUCAwEtB7tWN+l80N+jB+xbZtz IaTTaSxYUh3aT4WJ1QdcmTiCoeL/dl4EIaLuHSal9MrlMn7+xcWFv9EGf+CG8E8RixeidhwE5gmtPfRO EGhSJyRE3fipTNN88eIFaM4DLxg7H4mvwu7v71E2AiUGDhaLxdFotF6vHcdxHCeTyWCYUcaRE43btkgm m5vN7WwWwEPqZ6KbzSKbTWgwSPze7y3/y3/5sN9XX7wYHx1ZH3wwnE4jjhOKRLzvfW+YTq8XC6Xfj/X7 sXR6oCjeeh25vnZWq7AQ6/ncvL9XNS2r606vF2u3tfE4cnAwf/58fHY2bjYX/f7dX/gLx3yzr1QqGAao 9XCnUzJFUbBh05gZj8er1SoUCvn9bC4NP51OZ7OZYRir1YqGK2TM8DcP3kajEUYv2sokBRy4RJFI5Pj4 mK8wRBBO376NvVvX9ePj415v9kd/lPoX/yL9X/9r5ORk8s/+2Y9PT2XnLxqdP3smhBjruo5FRlH0RCKR z+fftYm3WCxiGDuOwztEpOBQURQAdYGZDYfDO77o4uKC59W2GS+NofAqhDBNMxCt/Muy98LhEG+aAIfD IYi9oUCGIlk4HN7GGrkNienPoAYKYPLlFV/BCTO4gXlXCJFIJGiNAGmPf1GA66PrOkGKyuVyNpslWD7Q JEC/gv4FJ8nlcpqmbTYbrBrwf/mZOYmNqqpPnjyhFpJAHxlqtIG3KNDu7u6ofZcHMavV6tWrV0+ePFmv 19uYWIUQtm1XKpXJZDKbzdLptIRgFUKEw+FyuezPOnY6HVrpIBtNTxy9ErQjqqr6YJ2I+1jAkNJqItUL 8vk8L3XvIOHhOzRIsknhGgclOBHJeT+YNgPMrdlsEvU+zky1HgAMxdvOCsRoJpMJGNtI6JL/Ft6fWSwW +ViS6laUgpLo/8mgJ05nkDaVwNMOBotWq3B3F57NQqrqVavu2dkmGg0pisIvlZxUNNFEo1FAQPj5LcuK RCL82Q0G6z/4A/MP/zD3k5+kN5uwrnvPn4cNw57Ps/W6Fo8702lEUeIXF9E//uNIr4fLzsfjTrm8rNfn lcoilbKFEI4Tdl1zNDJN03bdUK+n/uhHmVZLC4VEo7HZ3x/+g3/w5fe/3w+HvcCZLoLgSttsPo98+qn5 05+a/+N/FG9v9XY7Fo+HMhl3PA7Zdsi2Q7ruZbO5RmNjmrN6ffHhh71MZqCqyuefJ8/PjX5f7ffVxUJR FFEoOB98kKzVLFVd5HI/n022bVNyAvwWnudlMhkpzYlhyV26Xq9HDoc0YTF4xuPx/v6+VE1AZ5x4GzHK CcJhpPE0m4VevVJub8OLRej2Nnx15d7d2be3mfPz6tOnzt/4G+vf/u1pNBrQtsMZGufzOW+3EUFzdre0 LPB8vK4K7L8UbAwGA5pu4DncdkLYYxqwufEGH2Tj3unjvzh7XxwOIQRHTs3n8/Pzc8IJl0ol13XR3VAs FiUK/QctEMbPGQWEEKvVqtvtdrvdVCrVaDRoTcQUopUUDimKuOAN86cQaA5UKhVomi8WC04yMxqN9vb2 iEK4Wq0ivxeNRjlobjgcHh4e4kocx5HIDdfrNdYO13UHgwFqpVJkvKMzUwShpi3Lury8RNKVoFtk3W73 QaoAUrVFePSg8w5QHv8i27YbjYamaaBCKRQKHBb+mLJXMpnkT8T/kUwmA5AKmt9o8u9oWIAnulgsePso KQwLnygrObKxWCxQwQHWaDSIrYjv9PQVhUIBLSTSD+HwI2iMETeJ4zhQlEWgDF8kGo1u0xlJJBJIxkjX INlwOISGuHhbXph23E4n9upV8vZWv7mJf/xx6uoqUSi49bprGN56LS4ulF4vVCy6pun1+xkhNqnUejBQ N5tosbgplcbV6lJR7HQ6EY1GXTd+eZm6uYl3OtpkEi2XF43G3DRjjlNZLCKXl/rlpXF0tPzgg/Y//sef x2JOPF66uNBubiaqGv7pT1O2HTLNzf6++4MfLP/pP3UrlcXNzWerVXg8Vu/vtasrvdXS7u/jQohIxKtW w5omut1IOOw1GvO/9tfu/8yfWZ+ePuF7ktie/Xqkt2Ga5slJ5dd+7U+FTF031GpprmsqyiQU8p4+rYVC yW439Cd/Mri7c1+/TvzH/3jY6ZyFQqLRmD95YuVyq/39ma47rhsaDvXf/V374iJ1efn9aNTN5dbxuBOJ RGKx1OGh9eGHgw8+GJ6dnZD3QJFPLpfbbPQf/Uj59FMzHPYODy1Nc/ienclkRqPVbNZzXcOyVpGIp+sb wfxpy4q025phbEzTRjb2xz/+MZwAzxO3t+5nn5nDYfTyMvH55+btbXw+V3XdHY8jvV6kXneaTVfXvVJp o6q9ly/t3/iNxZMn1ve/f/Bm+hxwvn/qBaOF2o+rAGCOH9nhbQCsJvHSXl1dbavkku1eSB+0HSuAeNya 9q3Ze+RwCB/sHD0XYAjm4lV+ncAdBjJp//FtaCykNEEANZlM+v0+LwFCTy4cDi8Wi21eLXf5ERT6WY1R zKbIkpYGPnnAXCmE6HQ6O3b6q6sr+A29Xo9rdWIv3xGBJRIJP0JzOp1+/PHHBwcHpmlKxFkPehsHBwd8 Jj/4ft5uQ7ZcLl+9ekXZEVCN0eNG5gBXJQ0DlKuQD6D+l0aj4d9EZ7MZ9bBkMhl6A3AJ/X4fUiMSIAaw TZ5U6/f71OOj6zrVLOLx+N3dXTKZTKVSoVAIPIxowZduOGjTQqHQtv1sMBgQh5vfBSSbTCbkcPR6PYwi y7La7TZVAFOpFGGZ+aio1+uqqhJZOxkvNsHG47HneZ2O8t//e/HTT1Pn54nBQJ1Oo/O5slwqsZhzdDRr NOa12uKf/JPb739fKZd1PER0ot3crLrd2HweKZcjup6aTmO12ioeV378487PfiZaLc11Q9D2DIfDR0fq r/96t1xex+PW3V385iZuWVFF8VR18Zf/cuuv/JVipRK+uekDL1KpaGj6JSMcrmGkFCUthIjF3GJxWSwu f+M3ot3un2bp9vf3E4nE+fk5bVSxmCF8CJivWWWnHOTTp08vLy/X63U47FWrCyF+/qXT6ZcvX75sNr1Y 7C2hk9VKicV2VPpC7XZsOFQXC6VYLH755fDVK+Of//MTIcRv/qb34Yebet1Zr0NXVwcffXT4+eeR8/PI 3Z1SqzmZjNrtVttt7eBgdna2LBSMViv86afK7W14vf45uCEc9lw3FIm4mYydy4VXq4NuNzafK7ncejaL zOdKJOKVy4tabaEoyW5XuboKe14uny9kMut6ffHBB+O/+3cnnjdcLpVEwj49jZycNNFjCH1d+hVQn8Df R0dHt7e3oDtyXVdRFMMw9vf3UaqWIFa2bT+mHzAWi1WrVdRAJ5OJvw3+wTNsW0JR3Q4UxIHF4/FqtSpd ZCaTcV0XyyOazh68gG/N3guHA9kL13X9bc3oMMQqSQFlNpuldR+gJ9d11+u1nwUPIinvej2QHdlWjNjd xCt8S9W2wQpaQ+mgNHB3a0DgDHwP4xtMq9Xa4VaTJmSgkTfGWed3zExwS0ACnr6UCygE2o47CX4hDmFD EzxSOC9fvvQ8bzAYUCagWCwCCDKfz0FBDb7XSCTiT9Ku1+urqytwkQEzf319vVgsOp0OtcOATtv/gKSb EAqFQPUN4lfUyBeLBUQcIO4DFtRA9+v+/n6z2WSz2W2FKsdxHlOlRuMuZA4lckz6W1GURqMxGAzC4TD/ uuVyyeERZIeHh59//uqTT8yf/tRstbRuVxsM1F4vMR6Hnz+Pnp4O//pfvyuVNonEUtcdTXMymZ8nihEh jEZiNPq5InGv17MsK50W6TRdW69WQyO6oyjTp0//FK5fryvr9ZpnMavVxZ/9s0IIUalUDMOIxVKhUKjb 7cKvWi6X/sdEDpyfwVNKX6OZFgoD/OMA82I+Qn4hFAp1Op1Hil9InUcgjALaNxaLBfYy+CXiNE0TYplI JLZlnsJhr1JZVirLbDabTtunp7PZrPP3//7rq6uDH/6w+G//rXZ7G45GRb3uPHvm/O2/vT46WpycOPG4 d3l5OZlMZrPIT3+aarUy8bj+4sXmH/2jTaPhGoZn2yIaXZyfv3Ld0GgUHY3UbPZgs3E07apWcyqVnOu6 n3zyyrKi19f6bFaoVqOFgre35xSLrm2vsaNns9npdHp7+/Mnu16L1Wp1d3fnn4/8RvV6PdxzSEAgyZ1M JgFTs207HA7jLm02G0kxG2lFP+4essnQG9qNw5UQ/WTb1nDU/Qlf739DrVa7ubmRVnWELujIWywWvV4P i+eOC/vW7Fff4fA87+OPP94Gj+JCaFhSc7lcsViMxWLYiZEDoIBYCpp3JDx5B6C/7PdO0AfJlsvlp59+ in4z27a3JUIkdF6v1xsOh9LQ3M33fHV1JdUs+Md39zdK7s62REi32z05OYlGo/f39/wZ8fcXCgXy6qDB hg24UCg4jgNmrUwmgzooai4PJj/ADc8rzZvN5vz8nKpjaPQPh8OWZWEP4BN+OBzSncnlcv5bYVlWv99H wMRbavlqZVkW3SJQsHDVG5iUeJcMWh7SsihZt9sdjUaPz9jBpPQDYWsymQwPmLhPKVFceJ4YDGK9nmpZ 2nr9Opv905EWCsWvr0//zb/R/tt/KyvK5nvfG6IvIJNZl8vLanUBUgQkga6ufl6pKRQqhmFI2j2WZaXT 6cChRY3o+Xye6xOJLe3cIGi3bTsSiUQiEb4Hj0ajB8nRyRRFefr0KXgz4UMASAhMDFh0P/nkk2fPnj15 8gR05tAkkhBj/riWH6nVajxUAOm7EGJvb28bEQXvtoWZpvn06VMuxCMZMatyzEEo5O3tnf/mb+q0hxFP bqVSicfz4k3CJvH/sfelsZZc1bm7qs45deZ5ume68+2+PWBMGJ6BEBxEBkJCQOSBLCKQHo/gl1+8RCRS AnIIeiRIUUjiH1FQRCQCERJJiDIKm0CQ7ZgpYDum293u7jsPZ56HOjW8Hx+9s71ruOd293U71/X9aJ1b XafOrqo9rL3Wt74VUl/72kY8rpXL/N5jMNAIIaJoJJNKMqksLw+DwSAh/5XZcebMUqfTWV/3rqzk2aEH URxVVYfDIbf1olq6HLrdbiwWQ81ObmZot9vYOXQ6HfZ5UvE6FihQYvmg8CvhcJjNDDKno29vb0OVXxAE 1i2NEnoYpLIso74BVecTRRFRYDOxqdPpmJ0frVYLmjpsAbkjaSIvDk6/wYHCzXb/ywWe9/f3dV3HdpY9 Dk+s2UWP7oXEy263i/IfoK8Xi8VQKDSZTLxeryzL5nqqR4IzU1g9SlVVoRxgl+YqyzKbdsUxwClmiUoo ijgcSqJIotEp+1hY4R1LsLa8g2WGVSGbzSIDORAI5HI5aJCgdgyXYMbWuUDhCbQTFS8dVl86pJHTv729 bZ6eEMXAZ+hGQLmZO42d6QKBwNmzZxuNBmf5YQqORCJ2Krfsak0r8bLw+Xx2ThpdFzY2QoeHfkURCSHT qdDtelstn66TRGK6uDhYX+8iOk5e6DWhkgCWl6UA8QLFGth5nOvAKJYBKQgsZpOJ+K1vpR5/PPPd7yb6 fU8mo3o84sFBvlAYXbjQSacnzz0Xeeqp1OKi9rM/q3z+881E4rqd8d3tdiuVysrKymAwCAQCcD5xMzgW gEQiYdkVh8MhSqKfO3cO1Dl0Em5Dv7a2puu6qqqUAMHNzqIoZrNZvAvzKsIiEomEw2Fkb6FJg8FA07RS qYQ6cOzdJRIJanFyywZK7rEzAGowIXZGeb5mwP02Pz+P5C+uhwuCwLppoSdmx5JGmrddD5xOp3j4vV6P OrT29/cjkQgSWUFOh6Ko+etQqMNPy7Js9oYGg8FgMAinJuebGQ6HdLWmhZQXFhbs2BUoEF8sFi2zEdF1 uf6zs7NjVuUiL9yhJZPJVqtFbThMcR6P5+zZs3jCllMuWK69Xg+C7pqmqapKpw64STwejyRJ3HuBUMLu 7i6naMfuzSATZ56varWaa3C8SHDm45gXbEx/nMEBb4F53zAejzm+ca/Xq1QqhmHEYrFYLLa5uYnOhDzG 2Q2OcDhcqVQgsYy7MP+6g6jGZDKp1+uQxAHr0/K00WjEFrkmRN7ZiV+65Nvd9Rwe+qtVeX8/cHjolySD EKNcHv3Mzxi/8Avq4qKeSulzc3MYFaPR6LgbaBYYsVRvbTQajcfjyWSC1H9nTyA7JsfjMcucBdjC7tPp dHFxEfWN2u225S6QTh8QWTIMwzx6w+EwMt9QrZfmxJqvBhost7yBS5vJZMDh0HX9xo3dp55Sf/jD4o0b oUBAS6WUZFJZWurPzw8FgXew7+wEvvOd1Je/XBqNpGJx5PfrhBBRNGKxaTKpSJJx9Wr4a18rbm7K/+N/ 1D/wge1KhS8uxUWvKB8FQWhIwwWDwc3NTUmSUPjKfGs3Ef/+93tf+5rxxBMlTRM6He/Vq5GFhcGb31z7 jd/wXrigSZKgKMozz1x9+un4lSuRalX++Z/3/NEf1RcXBcMwNjY2+n1bV5/H4wFzolAooBQzOCJ0o0+N e5TO6fV63NOGybu3t7e+vo4lDTJi3DtFJg4b9T84OKBZr+FwOJPJUENW0zSzgi3bZhijbDOo7hl7Jrc7 5wjF0+nUXD1nd3dXEIRsNos66bSiB7vkjEYjOylVLNulUikQCMCR4xy9zWazm5ubluyBcDhs6fFFy6FQ Ui6XLddsgC08BmVns/OA5mkjbkhPYGczwzBoXgm0Dyx/rtVqSZJkNjgCgYCdB9Eu1JjL5QKBADLz2ZbQ 9wvtaVVVLQ0OZEg58PMcqnEFAoGlpaWdnR1qMrJLgN/vX1xctHz7ZjLs3cLpNziOW6IXtoV5tBMrYheW HO4gXHONRoPdurXb7Vwud+7cuRs3btAZ3MybA1AGbDgcZrNZpC1AD+BYN1KtVtHjHegRui5cvhza2Tnz 1FP6c8/5rl6NJJPq+rqSzw8XF7tveEMnk+mVy8NgUJtMpGbz3Fe/GvzQhyL7+5LXaywtaevrsXPnVFne 8/kGPp8uy3okos7NOaxPFsDMxT5G6hLAHtfhu+zT47RSAO6V9ft9FJO044LBd6IoiuU0VC6XkRAI9aoj CWXmZYMQEgymCFk+OBD+4R+8//IvvmvXyMFBJpFQzpzpra31RiPp2rXwt7/tu3o1oqrC2lqvXB6GQlqv 56nXI5cv+xVFeNWr+h/96O4b3tAej0eW/efixYs7O6M/+RP1//yfe+6/v/ZTP3Vw7lxHkgxCyHQqb2yk d3c9hBBJIoGAPxJJveIVoqpuMYIx0b/+6/Z3vlOeTMRgUNvYuNDreSMRlRAiSXqpNJIkY2sreOVKtNXy RiLq8nLvJ36i5vHoqZR+5kwrkVDy+XwmoxMi4BUsLRV8vp3775/KslyvX+n3ydZWLJ/POxcqore2t7dn 5qCUSqVYLAYpW8TgU6mUz+ezpCN0u91kMqlp2tbWlqWyp/krw+EQaTjmzXcgEIDNij/ZKoOtVisWi0F0 jp6P6R452+jbyNJnr+n1eqEuT2xqzdNC87VaDUZAJpM5e/YsBOaP1B0WRZFab3AZUncOYaItyJbSdV0Q BLP5DoRCIVqf2ewinYUr0O12WfOOMP4SFnRVRnFKroazGV6vd319HR4LMzWNszbOnTvHFtyeHbFYjNJ0 2P0Mq6ZKCBEEwRyGg76qw48eSfAURRHPwfzkI5EIdgj0v8DOMYuM3UWcfoNjxsgrtk3QkX3mmWc4jyVV NVYUhX3T4XDYrGkImB3Fw+EQCYTU4IDbAyvldDqlNvVwOKRfv+XKwtRAYde84dDT6XhDIePSpdBjj2Ue fzzt8ejnz3eXl3vvec9wfb2DtPuVlZVud8Lemixrc3PPvP/95P/+31Q+X9jfF69dk556yvjhD8WdnVKz qY7H0nQqdDreQEAvFIY+nzGdCuOxRAiJRqe53CSdnsRiSiSiTqficCj1eh5CyNyc/P3vR2XZGA5Tg4Hf MEitJrfbvmBQFUWDEJLL+ScTsdUSKxXt1a+e3nvvtNGoIsKF6iF0B4a6JOzN+v1+TdNYq65Wq4miaOnD 9/v9oGgRG4ZNMplEVgj+tLQ2BgPP3l5gMJC8XgP0/slEGgw8vZ7nmWdizaZMCOn3PZGIGo3qa2vK/ffv /K//NYnF6pGIhUW4sxN47rno/r5/NPJcvBhdWDCKxR2/fxNPJhDICIL14kQIKRTU973vuZ/6qc2/+Zvi //t/642GL51WFEXsdLylkhIMpjVNU1VRFA1BMDY3Q9lsMJGYRCKqYZCnnkoUCsnXva6Rz6uDgfQzP3MQ jyv9vtfv93e7k+3tkK6TN7+5+r//97WFhSEaAyQSiVSqAg4E25hEIgGRLpqUCN10y5bPiE6n02g0MJQa jUY+nw+FQnbRK/wWirxz/+X3+6ERnk6nOc8Hm4bDBjRBZIlGo6qqojIq+y04G1A/bzweezwe6s3OZDKJ RKLRaHQ6nStXroCEC+UGwlRPvHLlCt3953I5VJOm16cdvlaroSbLLHsq6gJBfpPP52NNVdaxd+bMGVaP h0MsFiuVSg6/OAvp1bxJo1Ydp5dlbj8hBIpK3BcB5JFVq9UXOm55JJNJ1Kg7sqkUmEzS6bQsy/T5QNMF FGA26YwN+rCAl87uJzKZDLirlnM+CFtIcCuVSmaDo1arSZJUKBQ8Ho+iKOFw+BYSGk4aPI3orqPX6x2p vHRcsLnXFFBToKsySptyIw27EKozCBiG0W63VVXFweOKdpCbTuxYLFYsFqfTKavDcXvwP/20X1WFUEht t33jsTQcSq2Wb3c38PzzkYMD/2Ag6boQixmdjrC01H/jG+tvfGNtZcVil+lc8yKRSMzNzbXbbbrvLJVK 1WpVURRdF65dCx0e+jVN9Hp1ZNyNx9FaLbCzo3U63l7P4/MZ4bARDE4MgyhKSJKCg4GgKAaW+XR6kkwq w6GkaQL5kdSpEY8b169LTz7pHQ6N9fXW3NwoHFajUaNQEGOxRj4/jsUUWAIYsVTV2DCE/f3cf/yHvL/v 6fU8Ho+RTguVihIItKNRNZFQ4nHF4/nREFhfXyeEeDwepM6yt2wYscuXV/f3xXpdfO45z9aWWK/rui4E AprXqyuK2Gp5sX5ns0owqKuqkclMUqmJ36+l0z5C+ufOdebmxoSQeFwJBKydVagLyO3R4/F4JpOByQvy P45HIpF4PG5eGDweTzqdTqfTbCZnu+2t1fw+n5ZOK6GQmWYvXbsWbre9ULp84xu1aNTCjObSmClgrMN6 1jQNmQLRaLRYLEqS1O12a7WaZVwGWuYnXXGK6m2zdY/JC/2L2Ww2l8uZc3cJIfl8HjZBv9+fTCYoqs5Z S+x7OXfunIMtxZETcX2WpQSSO/3TXJaBBUSvnZnFZuTzeVEU2SKLLEqlkl2oRZbltbU1Qoimac1mE6EQ 1oZDiinr5BiPx6qqclaReULGQ2PXaU7FB+QGfGaFLrDEsov97u6uXQQZ/Q20UxgczrM3jZ2xdN2lpSXW 97O6uqppGtg5mUwmEAgMBoPt7W07p3I8HkeonT2YTCbn5uYURcG0E4lEYOaiy6HcD3tfrGeFBVWgRy0I URRPLi321qyZ0+/hEEXxnnvuuXz5MmfHcLX1Wq0Wp4JACMGOlnN+sgXl7dKjnRGNRpEz2Wq1aJFSZwyH Ur/v0TSREDIaSfW6vL0d3N31j8fRgwOxXpcmE6nd9s7NKbI87feleHwaDGqyrKVSSrk8vP/+aqEwWlhI rKykJIlw0jRmOMsNISDKPs9+v4/tgigaq6v98+cVunuIxWKlUlgUxclEn0wG4PGxz41qe0BC3uPx7O7+ SPW8XC7H4y8YLV/7Wv0//oPs7/t7Pe/+vueJJ+RqtbC359U0IRablsvDCxfEpaWpojR6vfjmZujb304K gvGqV43T6c7c3Gg6Ffv90KOPRg8OUmBZTiZiPD5NJJRMZlKpDBYXB696leeVr/yRd3R/3//kk+knn0w9 80zix35MXVnRUin9f/7P8eKiJortWu2g35d0XUgmI2trsXDYGwwaGN3IniU3S7pcv77h/H5R6oLdgmOO i0QiYNHjIDt3oMaH+VLI9OZISPH4lEkZ5SHL2rlzL9gwWYbh7Ho7zeIRBIH2KxToIqb6fyxgdp87dw5K YnancTxNsHCcwzEser0ePPbxeJzLS6Kfq9VqLBYzWxuEkIODA1EUU6lUOBymRnY8Hs/lcvT5l8vlbrfb bDYHg8HW1lYul6MOdlRfg/gH+3wout1uKBTSdV3XdbO7wnmGgW8/EoksLS1BScKSN2C+I3ywJKM4iFrS Ic9FpoLBIHLUWRcgfohebXV1lYaZzAk44/E4FAqxb4ednNmSCOSFLw553cgwR3lnO2sDtXNRA3J/fx+Z QXZBbXLTmCOEcFk8nJU2Go2ofdbpdFZXV82hKNbdEg6Ho9EoiiziGSaTSURJ6O33er2dnR3WmFtcXGTv iw6WVCoF0Qf8iYmUpT83Go35+fmXSG168nIwOAghyWQymUyyQzGVSiUSCfaIIAhbW1uckw09KRwOQ0KO 3BTzRpH6/f19s1+rXC6jXBl7kAvm4VLdbteBtDUcer72tdzVq+ErVyKbm8HJRJJlHemCfr+WTE6KxdHa ml4sTgnZSyYVn09fX4/Lcsdhv+j3e0UxSYiQzWbZ3sytLqhw6JzAwllvUKSgQxckL8MwIK2Dg6io1G63 ubmGGjfYfBBCYrGYpmmSJAWDQSiKRqNRJLJWKi3UW6LIZrOapm1udppNX6ORbTSy3//+ZDiMBYNauTx4 xzt2Xv1qoVwu7ezUkEY0N+fb379Mn9JwKNXrcrvtOzz0b24GH3ss/fnPh6tVfyCQFUWiKMJrXtN697uN v/iLVjbLGWHh6XReURTUaiKEEPJfzkK2Js6RqUD3FJSRAAAgAElEQVR+v397e5uTQ8BT6vV69XqdlvPG zbZaLZTotHTbAoPBYHV1lSuWy4GyRC2bJMsy91+SJNG1n35gxeDNkkeWlFv2sp1Ox+Px5HI5B4ODtTbg D7BLgLQDkgJQd63f78OtyJ4Qi8UcHAmDwQCsVXqDSEOFW5QQwia/QKQVTEaO6FMqlWRZ5kYo535fXV1l /1eW5WKxaMcWmkwmEFVjFzm/3x+Px+2iSyws11p2aAcCAcMw6IClMmvcwx8Oh4uLi3gIyMGORqNer5e1 XbAExuPxQqFgtqIw8O1iHNR6NgxjZ2fHPMWhdiaibHY32+12QbxF4513XMFgkDpUuN0XFxPgOCuWahmB QIA+VQTrJUlCWg2Kq+G/2H7ONc/OjlQUBXsVTETwOnBDfnNzk/Oi3UW8LAwOQkgqlRoOh5j6UUyI6zcO 812/3+/1etCodq7mjLp85niEoiiUloX06GAwaLcOQZ1M04Tvfjexutr/uZ9Tl5f3CdlLJH6UHNHtdjHR ZDKZ69efo11Z18fBYIobjWzyarfbRWEzn8+3uLhIqVs+n4+jPoCFRytAiqLItTYQCLAuokwmw6loIL9j Op3GYjE6X1gqZFy/fn1+fh6SO5FIpFqt0kv1+306J5qF0mlrRVG8eDEqCAKKtXLF6orFeUmS5ufnaXId O0ek03IioU0mL5gmcrnKD35QJURIpSY+n37hwgVLKpzX661Wq1tbW4ZhJJNJy8QzVVXNU5soiqFQSNM0 vA4sVHbiS6i1i1JbeHpUsNzBEQVdKVmWHQwOuNlu3LAoMIFsCO44u+xpmra0tBQMBs1mOnsR8x66WCxe v36d7W+Kovj9foitKYrizOOD/ZrJZJCLTkzbZa/Xq2ka92Roeksul4vH45PJhCsAFo1GHXb25hAbAIoo PnMmODobZygcqelHCMF+nbY/mUyiIoGlPbS9vV0ulzka2Xg8FkWxUqk4aPrRMy2P080DFwjDQHZgr1M1 nYODg+XlZfMJ7Xbb4/GwkxLqEsMKtBxlkUgExQdQ5t5yRR+NRs8++6zZ4cdNxZYkHksMh8PRaBQMBrkK FYQQZP/JsqzreiqV4p5hKBQydyS2zdvb2/Pz8yCeczxTh+HMqUvTM/1+P4JK7MnmyimDwcA1OF5UCIJQ qVR0Xacey2Mpr2HoHsnfHI/H165du3jx4traGjdvUvsGK7GDfYNhE4lMf+d3/pMQcv78eVEMEpIkhHQ6 ncPDQ8MwMpkMfJhcH4VeITuZ2jkYDcOgccTBYMCOTGyg5+fnB4OBIAihUIib7KCNJgjC+fPn4ayGE4Le VDQapaIj+/v7kE1ji5FyoC3hPJzsZ0trI51O01kV4gQc2xfEUnymb5zup+GJ2d3d5VaLaFS+7758s9kU BB8tNUJuknnD4TA2JYPBgD5eMPjM1VIsCTq6rtODlnYGK8AwnU45T8b29jaoKlwfDgaDMIvhoyKm3Rhn tGFRtCQAdrvdWWqXU6kSyxMMw8jlcpji4b5KpVKbm5tcsIZOu4IgyLJ87tw5WoYQoB5plF8mhIiiuLa2 hiq4XB5gqVRqNBpsk6irBipb0CooFAqUgWQYBpZ5y7uYpR4yIYQ1WWKx2GAwuDV6HOtOWFlZwZxj54DR NG1zc9P8Q/1+f35+nmMbzA6v1xsIBMz9lvq0zF959tlnORddt9u1JKCgNLQsy4gYxmIxywhvIpGAHAWd zQ4ODiwTVQRBwERhNny5I7MErynw5C3nT/hKK5VKrVaj1p7P55ubm4MQS7/ft9NrGQ6Hly5dOn/+vLm/ 2VF/uFmRzvm5XI4zI6Ds7vF4OCLOS0RmlLxMDA66lQdhhx538FVaYsb+ahjG7VTna7VadAdQqVRov5xO p3Rx3d3dDQaDg8GAnbtRXNTBmwotHct74QyXwWDg8Xi63S44fZzNnsvl4ECGphnLvYJGRSAQYGe6jY0N MM+PvPdjzQicgFW/33/mmWfOnz9PC2+iWK75i9hPw1zY3983zwuqqsLHwx6kcorkZnyXsxUQayOE9Hq9 4XAIucBjSb3RldXn84VCIUudIvpbZp6gJEnFYrFWq4EdifoO7O4qk8nQVcTv5+uDkBdunhwKrRFCsMnD B7uFDf3t4sWL1NB/7rnnuDXAPGmap93JZHLmzBld11FnAAdxm9yZqDLDHuFcLNR5lkql7OZxDtw2g40/ sqU32PWDevJm1yc1A2V3EE0DW9NSt9vSrAmHw7quh0IhO54vh0AgoCgKHQg+n8/S/wpTQxRF1lyj4DoM YitmFxcKYsfjcUQBDMNgxwjkNeH2IIQoisLOZpIksUYzxDAcgshck0RRXF5e3tvbs6Qw5/N5VVUx6DKZ TLVahSqX5ZVBs2CfEtR4qZ6Qs72OdQcKhISQ4XAIoo/lyblcznKdUhRld3c3kUhgl6WqKhUzLJfLZ8+e 3dnZwZ94mC8FnH6DQ9f1733ve/jc7XYXFhYMwwgGg+bkvVlqtjnrDJKbOfdHOjMdgJKhVM1mPB4j7Yob t81mk41iFAoFTH9er9eOw8x2a3PtKPZb1WrVLt2XEMJuQBOJBMceXVxc5CZBbNpuJ/nIMsnN0uHU7/fn 5ubAIHOQ0NF13WHzx7k6AY5izGktkJul8tiwfaFQcM73AXw+H+QpqYXR6XRoKUFLWO65e73e4eEhtQ73 9vbOnDlDX2sulwuFQktLS0iztLQnZqxNShjhcEJIKBRi3QDxeBxeFr/fv7+/7/P5qDeOW33j8bh5KhyP x+aiRbqus0+73W5bxjjMCwn4nubQfqPRYAv5Ot8p+yc7RQwGA2qVsg2ml1UUpVQqIVQEmXPz9aPRKHbz KJnBPiKcT22OIz2smJ1AnkD6a7FYdJ7WJEkyF+0bDofmV0BujgvDMGaplo4f5WatcDg8Ho/ZpJ6zZ8+y J0QikUwmYxgGdZGyJksoFIpGo/1+H/EIVJ8+siVs+x0SiBBKRmD0+nULAVzOQWgeQdBE4b6C/j8cDlmj AduAdruN0Dbtn+l0GplQ1Jiem5tDPYdWq8V1byqyDFItGzDa3t6+ePHi4uKipmm0OsxLAaff4ODmOGrv o6wiPZ5IJAqFQrfbrdfrDtKKztYGMqQPDw/pWAV9utfrHUu2C90aDCl0TWgQsedws894PN7b20PJNPgY LH2wm5ubKMtOXX84nkqlJEnibPZZYLmaIhBjHpDchi8ajYJqAIY/saHNg7RrLl80mUzMokwQWsZkB4ct Mte5My29+uAcoISK5U3Rz8gooZs8r9fr9/tRC4pdn3q9HqV0qapq168EQUCCNOvSEEVxYWGBzkTcNs5u 7eFWAlVV5+fnoeqIeFAoFDKLn94awMQkhICMQo/jNSEdAEdGo1GpVOK6CgYLPmuahuCOnYABd79cJ4F9 abnTRT8MBAJYabgcztvMwGcj63ZvxO/3BwIB0BUtT0A4Utd1VHnl/rdarU6nU2frk2JhYeHatWu0b8MA TafToBwi2H94eMj+CgwU7jrT6bTT6bDSI+SmjqemaRAqtWsDFTezhHl01+v1xcVFypNA1l4gEKC9pd/v w6UKs4zcVCsgM2ssAel0Oh6Pb2xssMOQzkjRaBT7E5Dt2P4cjUaz2SxyoVkXnUOGC0Wv1ysWi4PBwK56 4uHhIftbiMt4PJ5CodBut+FCJoSkUin2CtxE2u/3ZVm29HXdptrNHcfpNzjsPPlccA7VsxxWhVlQKBQ4 fqWu6+122yG13RLZbJabefv9Ppuz5/V62bnS4/HgdhxI2gDuDuVG2b6I6kGBQOC4BoclzOUqAOxd6MjJ ZDJY6RG/2NzctKR0YSniogMAni3KYkH7gX2tVGmgWq0uLy/7/f5ms6lpGqsVCNAxDzF4y5vKZrOU+ZHL 5dhMOSiKopQr+3WkdYDSZRaBpsDe3ev1stvKcDgMBzIx6RYkEolkMjkajZx9J5BeRm0FrAG1Wo2r6GEH 0CmcczKhuma3eWKn0VarFQqF2BkTfjhykz+Buy6VSnaUo0uXLi0sLKiqimfC0ghkWZ6fnyempxQMBnO5 HF3JwO8ZDofw4sTjcahyHSuKx4F914lEot/vc+6QRCIBS7dardoxXfAAURPY8oRWq4UyAnaCCqhMlkgk zKsa6oXiMzS1zIu03RvkjFd0BocwH5wTx7VlR6NRNptlZ8h6vc75vdLpNN0DjEajRqMhCAIVTHMA/Iux WCyVSsH8Yh8yTN7pdGoYht/vd+jJGNr9fj+TyXQ6Hfj2ZtRE6PV6rCkQj8fZeYzzo9DblCSJddByqxL3 EjGBxONx+speIpVTzDj9Bgd4bZia2YAIe5ww5RZvDV6vt1KpgP1uHtLHlesYDocOA5sQMp1O2+022Iso pX3sFr/QW7O5uenz+VCo8HYq2aLQA3cwlUqhnBXWGDAiYdv5fD7o4jnoBzgb6Yqi5HI5bLUtFd6ATqdT r9exsFWr1dXV1eXl5Vqtpus6OwfRN9XpdFAYKZ1OwyoKBAIXLlxA7r7d3ISqGcgbxK11u13kLiFo3e/3 NU1jjcVQKESn13K5HIvFEH1HHW14XNifSCQS2O8eqS+JBFrO+Gs2m5becg5sMqQlZFme3ZttzjCaTqfQ 3ohEIrQxnEGGgh10hFLfJEfNmUwmeO/mqZxzgHMFYGdsPIe1tbVarYZljJ3WRVGcn5+nul6BQABZFbVa zXkbAzNilp2oXUQGWTn7+/vmX4EKCP3TshAMRFFnMUOdAeLRccsqQbmE2wCwplU2m6VdXVVVuu9qNpt2 dQ+gYuD1emGBdTodyw6fyWSwJSAvpMJw2VVsilCtVkOS497ent0TSyaTg8GAjnFIkdL/lSTJgUcCMRWu 9IkD3R4/5/F4qMM1FovBH4PpKxqNvnTiKeTlYHBMJhM6Z7EvHlUDLCv6cDiSt0EIiUQiEEK2/F8U4GA9 jR6Ph9uOs5gxdwuECeKo1YO6D0eKOcLr7nAaeAbO5WHJTfIHbAts6VBBF3tBRVG63S6WYdxjtVqNx+PO rwApzQ56eZgsdF134OhxLxrl07Az3t7epssP9qOTyYSycDqdTjqdRlYqIWRxcZF7lRx2dnZSqdRkMlEU pV6v40fz+XwsFrNcMFKpFBwkqA6KuYby9lHoko1PIdWejfs6A4mI7LNCYYVbdmWheNUsVER4p9EB+v2+ +Re73a7Da81ms5Ydg7sj9jjnSrTk4twmZFkulUp2MQ5qN2DTbBmjhHeKrjfmzCYOlHnAWVTgHBxrs4Hg 3cHBwWg0wkgpl8twwrH6UZzjB/SRI10XnU7HWbrbDvBNskfi8XggEGg2m/1+v1qtTiYTqNZyeyGPx2PJ kYLkD+fPoIDeaCwWo5QU6mOjeqaVSsVOjA4aZXb9FuYI6Jyog5jP59mpdTKZOMjnwCm7trbGPhAHRyZ8 2+y03Ol0otHo3t4e3heV2bW7wouM029wcFuHSqWC2AGSqcwkgHA4zG4Ky+WyXVkBFtPp1LwYwwuKPFgu WmwnmH8soJqDc6KNHeGc2DAx7YAydSCgHcm9p/MCZI6QuGi5saa0cDMqlQry4vb39zFxsPXlaR1XZ34r EI1GU6kUaw52Op1YLIZZA4Gw6XQaCoXgTuA2H2wLb9y4AaEUh58zmwIOerIsvziVStH4C3vOYDAoFApY vEF1nD16HYvF2HBGPB4/PDy8nb6HchXm4zjIjh0YgjBQEPhvNpucC83OT7O8vBwMBu2MKrvnz62+M3Jg zcKX5KZ6Jud04baeVCt9fn5e13VN02gDxuPx7u4uu2JBvA5151nLvtfrJRIJh6aiAgNSkGBwBIPBfD4/ HA5nUfdiAaPc0jEAMxRsaG7jgTmz0WhMp1NJkuxMHFVV2fvNZDJwxNIjkiQFAgFLIyASiaCYtiAI+Xxe EAS8FExQcFEUi0Wu4/n9/mAwCEIue9nhcOjACA6FQmyMhsrbEEJu3LgBtj6MMEuDA5MGNhXNZpPNYCeE wBWBOoLhcBjMj3A4fP78eexA7Kw6FpBUgNw+cfR+WV6BXbBQKuRIo/ZFg/TQQw/d7Ta8AGx21h0BFawk hITDYURVkb++t7fX7XZB6aLnVyoV1gUKuh93QXPUAOLEXMtXVlYODw9Rw8nsaSwUCtRG8fl8M9712tqa 1+sFSVsQhL29PWfXt51JAacLcaTBptNpbkuBabFcLnMe6WAwaOlKZS8+u3ETCAQgNOLz+ZrNJh2idFJm a1sfCdj41WqVvRdVVSeTCSTq4XiMx+PILoOYrMN+7tZCTqCOskeQmMAeGY1GmArNN6jrOmafra0ty/RI O0wmE1VVE4kE+kyr1RqPx5xFhVSFGR9pr9fz+Xz9fp8dBShAgxqE3PmYcAVBwKqJjodOOzc3N5lMLDsw CBbtdpt2IfPjIoRks1n2TXGdecbdtt/vNxtwoVCIy2oOBoPYZ+PPXq9Hbf1OpwNtMa6FbHsymQyItNxp 4XAYKxP1Ovh8Pqyj7HdrtdrGxgYq1EBV/RY0NuBrPDw8xMzDrkMYBblcDppX3KMIBoPIEEEJlVl+C48L cTFMwkjBMH8dLpxkMplKpTDqcZyz9nq9XjKZDAaDhmGAXAkxIXOZ6Gw222w2WauUjfVATQAiArgs24Wo qi8GhfmdttttZGDhcbHMCQp4sBRFGY1G2CcQQvb399lp80hreDAYIHlNUZTbWRaz2exJUEdvzX14+j0c hJCFhQVJkp5//vl+v3/lypVUKjUYDOg0J0nS4uKiIAgoTiEIAkvPNM+G7IsPhUIIFnLuDRjsDvNdNpv1 +/0QWsb8YiezyFnQXq8Xa5KZIEZNZpRycCgwTexVFqj3YmlpyW4bDa8yrdXp9XpRS2KWOg6WoPIP5lJM t1athkU4HN7Y2DCv0FCgp2VxiKlownGBvTv3vtif447Ybe63trbMrqDBYHD16lW21PDsYB34ltA0bTQa WSYWWSZVNhoNdrp0TrzUNI1SVnEEGVKSJEHD167NHEeEK3AKwMGAsqtHxpjsPHOW1lu73eamaZgF9M8j nUzBYDCRSGA9w37d7JiB+x2CKAsLC4lEQhTFfr/PnglOAO4UmoE0Z56Cc9KYmVh4R6w7rdvtUlYyC7P7 vV6vI4yFNd75rtlv6bpeLBZDoRD0Ojm/XS6Xk2V5a2sL+VO7u7vJZLJQKNAGmN8XNOZBkiUm4j+c036/ fzJ5QaVrTCnXr1+njwiMvfX1dYS26cmiKO7v79Ni7oFAIBqNmvvV5uYmVR8+0g6AgTUej52DmHNzc/V6 nRtHg8Hg8PAQozIYDC4uLh4cHFj280wmY7lNApPMuYUvJl5CTTlRsPMa98IoE4KCi5U6AAWFLakbrVbL PAujFFwul8PewuPx0MUVeQHm5Yr9E4xCqu7CQVVVlNjAlgJe0CND9dxqkUwmKf3bkrERCoW8Xi8KjhuG QYU9QK5EqZQZmeqYFlmKDEoxqapKSxHegm0uiqIoinRxOjg4sJsld3Z2Dg4OfD6f1+vNZrPHEukipiRe eJ5RO63Vah1JvzWvWJlMpt1u270yjgDoAOzejtzfs6sUdlH0v9LpNFwRsiw3m00u8sU9T4/HY2dw0Pwp FrdWHtbhYYIbdOQVYrEYtxnl3hE3Frh8US6eYqfygmUSziR6cDweW5rOXq+XTjUbGxuRSKRUKrH8GOz7 uS5x/fp1jDva2oWFBdZWjsfj7H3ZBQFBMuAOmgcLOwWx4zEWi/n9/n6/bzfem81mJpPx+XyWa6SqqmZt IdR5R8JgOp3mtlX4MxwOl8tlj8fDygqDXr21tTUYDMw/t7W1ZX7+W1tbgUAgFAqVy+WdnR3UfqrX69CY CYfDhUIhl8spimLusZubm6C/HLkBQNSeM+O4NwItZo/Hw4XvVVWlzxaep0KhwBJlIpFIOp32eDzw0pmL 3yqKMh6PzcyBu4XTH1IRBCEQCNRqNbtRAUEk9kgwGATpz+6aCKUjsZuYgpeEEEVRhsOh5RQDT76dqJwD IQOEaodNISFkPB5D2UIURdgc0+l0MpmgoAnuKJ/PBwIBOh9xnj1JkqgNZCkPJcsy9Qr0ej2I8EBPfXd3 dzQaybLMCkgQkzMcf6bT6XK5PBqNzE8JQoT0TzrbejweVMqwu30AE4fzORS6ruMRDYdD86LlzLrP5XK0 oEypVEJqSa1WMwyjVCodN8d4cXExmUx2Op3byRIihKDArF3ePwuz+RIOh7Evz2QyqFCIsi/gRNNHkUgk 2EZms1kE7M1DZvYXcVygXo/5h2AkWVpmbJshz88tw0iIoD7/dDrNbjyouOpoNOp2u6IoJpNJBIz8fj8W nmAwmM1mOWvDDmZCg6Iooiiyg240GqEILXvadDql9WLC4fDq6ir26LhrCLzCY4rzkcxp+UAQMgCnjV6c zjDcwxyPx3QaITcDwc7mYzqdliSp3W6b+wZKl3HDGbnr1WoVE93KygoyWtmOBNJGOBz2eDy4Uzh07bhc lpMM7hQFtriBjyYhPphIJCzp3oqi6LqOOlN2jKJAIJBKpVBuArl4aEYsFoPjB3J2EHpH5XBzjJX9E2KD LCMQ0Wf4MEAZhLAKO2vlcrkjM9puAW5IxQl2xQigHQ7nLRxomGdzuZzdQPL5fLQQKNYqZ+eqOclle3sb mRco+kU3Gc7uSk3T7GQq2C+iW9frdcMwUBKF/hcUpmnNaMsy3+wOxpJqhIUHdcvwSLkH2+/32+02W5+J m/1VVfX7/fBbWj5kdjcQjUbn5ub6/T6tKTrLUnoLsJySBoOBA7UWsTCqbz0cDmlQqdfrWXoyqVOEFREH kLV7ZB7Q3NwcG7oyb17B7HG+CIXf79c0jU5PsIb7/f729nYsFmPNPnbOQnVQSFxAFAQ24rEquN4m7EwZ VVUdMl+ApaWlZrNpTutFtRfUkYE3kf1fyqKg6xN89WwEdjgcHqkynE6n8/m8XZk6RVGovch2kmAwCPIZ 53zt9/u1Wo217xGhiEQi8Xhc0zREb+0ag3Bbo9FAIhWsRvhZo9FoMplkfUKQvKR/mkPJAA2FxOPx6XSK HbblSDf7L4PBILu6j8fjlZUV8yOlzYCEj6qqXEkdFrcstYIXLQgCzX5iJ1s880KhAFlC86+MRqPl5WU6 m6XTaZyTSqWQsoAJGbp5swg1wVGRzWap+Ug9weSm2jo9E8ZKqVRyQyp3AZyBDxYbCEpUI7nb7R4eHqLk NMwOy90tNPMJIT6f70jWQiQSMfvcWNmJbrd75swZTJHNZpOlLiM37MifwDJMd2/hcJjeUbvdhuot/hQE gZW+Ho/HnMYDqwlBbjowzYAl7uBpMAyjWCwKgmAXVh+Px6gcZlZhh31Wr9fpWEqn0+l0ejQaQUk6n8+D sXhH5DKPxGQyYY0nCmxP4UyiZ7InWE5zyADsdrvm9ZKbkS25IMViER4muoHGgwI3DeH/Y+UlTqfTpaUl WsV+Op1Sp2632x0MBvl83qzRORgMdnZ2uCK6zo4Zh8ymQCDAbesp1tbWGo3GcSUisNxKkiSKouWKaCe6 s7W1RWVOiMkGRQvZx9tut49MqieEcJ0ccsZ2JxuGkUqlgsHg888/z3YSVVWLxSKEBNnzoWBmvg7tTr1e b319/ezZs/v7+3YuN0VRtra2uJo4uVyO1Y+H1BUrkZfL5SydoKB2CoLQbrfZC8ZisUwmc3h4iLYtLCyw /jyPx1OpVLh9s8fjuXTpktniZ2MEXDUWFpb5R85gTQpa5QcipxsbG9yesNFo+P1+zKKWsjSaplFuPjVM +/1+NpuldlW3251Fp2tubg7LhN/vR86Lz+djtwHsBDIajcxEn5cCXi4GB9dRFhcXx+OxZfQRkj6WfHuK GWfAUCiUy+X29vacTWzoXzWbTW6BlyRJURRLKh8FdCTZuZ47GTEOfKblCSg4V9v8/Dy757AzKY4kuCQS CTPhwNJVUCgUNE3jEg2g0eT3+8ECozWvAZCu6dQZjUZRI4ZrAHHMXz8WLF8ftoaTyaRcLuOIXZiMw4wG QTabpRrtAGZ8c9CtXq+j+KSl7pmzzBcKZdnRTZrN5nQ6RYCMsxim0+mVK1fm5+exe+YKfuIgneuRqmBn cKC2qvl4MpmUZTmbzd6CJtVwOHRwIzu4kVqtVj6fn3FTOGPwyxxvdTgZo9W8TCqK8vTTT589e3Z5ebnd biMegefTarWcO1Wn04H4nnM7OZOX6zYcywcJL5bXtEvWRYWghYUFFPgwDIMVdsvn8whts2IqdnIvzWYz Ho9DHYfjWrId1c7aYNlXXMc+f/58v9/v9/tUFAew42rs7u5qmmapZ41wj2VLuBjNkf0N1Dr6Jx779va2 YRixWAwasuz5ZmrOSwQvF4MjkUjQd4yS2VTzmAM2bZyBcqT2l/kEbGuef/55CGlPJhM7lwmtdc4dt5xn uWXbvIRzW2d2FeQW4Egkkkgk6GYLOgHkpso7aggd10mO0Dh2A2xRR7hhzK31er2Li4tbW1vmGfPGjRul Ugm0fPY4N1Ytp1q7KYADa8zZvR2fz+cwm7fbbRgctVrtuKIIDgAhkWuPoih2S+/29rZ5bsXGyzCMhYWF cDhsrg1LCPF4PM8884zDs+r1eq1Wy9LXpSjK1atX4/E4FBTY3y0UCuz46vf7q6ur9By67wQRKpFIsJ0/ HA7LsozoBrHP5XE2xDVNu2UqGHXbYPMK64TtHnaJSLOA62bmS+Gt2XGlWWYoiNsejwfCdHaqg4SQvb09 JNPRI5YTGkctdF4Fn3/+eWjDOJxjByp+5fV64ccFlQqbwOFweCRtX9d1KurKQpKktbW1Xq8Hlq7Z1Kb5 9mg5vLBs97asFE0I4Xh+LA4ODjhCMd7ycDi8fPkyxMScpyPELtFay9gT95wNw6DOJ/Z8GFLRaPQlK23+ ciGNTiYTkHRQiadarToYv5jvaMo4mMDOe4h0Oo36W9RYpovrZDLJ5XLZbHYymXg8Hk3TaO/x+XwgGxJC BoOB3Szm9XqpAAaxt+S/cIEAACAASURBVLWBQqEQiURQWJk6G8G15IicS0tLKBKLFPxQKHRwcIAsCXBs Ec2dPQK6srLi8/mq1Wq73WaHQTKZBE+W7ixBxSKEqKoKliWoACiNS79oaaPMApBAjzxtOp3i9hFP5f43 EAiwWikUsizTRkqSBCa5mVbGnkZhKbiCfEu/318sFn0+H36XU+Y2gw1nTCYT82XhgxmPx+12G0Eu6D7l 83l0Qr/fj6fkPOKcc3FBJGQN03Q6jeJb7MpaLBZTqRRStFBDJ5VKgb+MWjl0bZifn08kEvDJ4zapQAWL 40poExPPlFjFI7LZLLvYQKAlHo/ToE8gEFhYWEAWD7ueLS0twdR2jvQtLi6yxhk3uMrlsqZpmHyOZByP x2Na8hC8ePpfc3NzXApVt9stl8udTgf9nHsOsiwXCgVkJNGDRyYTgag0+4sAfXIymdTrdbxQXdepp3kw GEBa1E6ahYVdsEwUxWw2K8tyKBQajUZ0EohEImfOnAHLG8YcqO6EEKwOdJ6p1+vVahXDkL2yz+fz+Xy0 Fg8H7jmw58AJIYoi7GwsAfR/ZVleWlqCFiVsL8tNBfiF9E87vUS/318qlZA6i6KVJ6cx6pJGnTAcDumW y1nlEzHjs2fPBoNBjHm/3x+LxajsBItisVir1RRFQXmFTCZjOUpRwtR8XJKkVqvV7/dVVXWYX5Dxde3a te3tbQdCHBjL5rLdllqcyN4EJwDy55YuH1mWZ9nMYcKC2Illwwghfr9/dXWVKxZA1Rhvp5DN7cAcjqEY jUaWIrOsDQS6ifmccDiczWZpANvj8aBENdaAQCAAIwORI5qHTMt2O8T4wfKZRW6fRa1WG4/HIDvv7Oyg GTMuFUeabpqm0Rqh0WgUL5et44UlnJUoxRFIgeFbZ8+eRflfHIFSzmg08ng8pVKpWq2yE7Gze8MO3FKB CswYfTgiiiKEtAuFAp0iRFFk2Z2omZfJZLxeL62nijpKo9EomUzSIrSWNECPx7O8vLy9vW02oWhWJKoc z3hT1WoVaQgssycajZozJBEgs7wIav3Y8XAdOttwOCyXy3AYmFV/qCsL9Q6r1eqtVX0ywy4shQis1+tN JpMs45WV2+EgCEKlUuHCkTs7O4gDsgdFUYR1oiiKLMvwyhArIURzqwghlpppSDxhf8LyClx/sFu/IOiO zxAoYwMxLwW8XAwO1g5otVrr6+vOpUPa7Tb1kNdqNZ/Pt7y83Gq1uAg6MrbxWVVVBxUju+MOyzlmVZCz 6O8qimKniRuLxY61bHMi/JYANckh6iwIAvQib9y4wZHh4S6GChnCorquJ5NJ9rRbqLxACMnn8+FwmDVu HHywHo9nYWFhf3/fcoly9t/cmsc4Go0WCoXJZIKMPojVsjYffe/FYjGZTCLfZ8ZFNBgMqqp6C6mzEDn2 eDyzUFtYtt1oNPL7/Q4qICBZI4UYm6r9/X3YTLIsQz6S+8pkMtnc3JxMJhCRCwaDXq+Xzu9UMhxotVpn z54NhUKtVkuSpEQicUfWLZhf7E1hxe10OqIoUuqoecdJF+Z8Pp/P56F3ibG/v7+/vr4eDAbtOjaqGMqy TMcUMuNA6MaRXq+XzWapi8L8gQOsgWKxGI1G4SM0j+tsNutgX2IBE0VxbW0NCW5sJ3E2bRFV5GQ9IR5K p1AMf4eLmIFI9HQ6PRYTC0Ia5GaB4rm5Obqhcv6i+dkqisIaHFz+ETUd1tbWOp2Ow1Ki67plNBPgNpCs FUuxsLDAhXgEQVhbW9vY2GBn5ng8ns1mn332WXqk3W7v7+8nEonZaUknjZdEI14EcI8bOVRU6s58PueJ 2t3dHY/HR7Ku7NwP3BfBwziSQR2LxZaWlszH7eb9O8ghoIB0ZiQSmUwmuAvY9XQlNgyDFjbjbmdubg4F wX/4wx/Sg41GA1k5uILlHHrk9l0URe63HIYTlmc7ZuJJQJbl69evz1LuZHd3V5IkrDQzNs+8kiH7kStJ atm7sFNnLchkMokatuZbYFOm6aVgGVBvnM/nA2+UmgjhcBiaiTgBJo7Zr7u1tYUpG+H8RCKBtCb8L+eQ g0JULBZDqio7pVJwyeFHolKpOHxlOp2iS1t2xcFgMBwO4VJGmVZ2vdnY2CgWi5YOS+o48fv99CuRSATe L5aEgYQjfPZ6vRcuXEAzYL92u136RjweD8YXZLYtcyUKhQLSfenizfYBuB/wWZblYrFICBkOh7NL3e/s 7LBr82AwWFpaogqzlkCIGcVZLFfrTqeTzWbL5TIrADM7qNJaOBxmpQHskEqluFHAhVTs7B5Uvbe7pt/v d5BWisfjZtcLTFjWgLNkgCJowh5BwJ1NqcOEgJbblRt8kfGyMDhArTArHxweHlIVWw4QJWSX9kajYU5D 6PV67JQUjUZ9Pp95mLEbGmLlN7N0WiCIEw6HUY/71vQZzXAoGmSJ0WhULBYdho2l2RQIBDAjm784GAw6 nQ6ekiWX6kiDY29vj0qhANFo1CEMMYsuBf1RNNvsQmD5faFQCNVYLC91rP337Wu3U9cO6yMZj8d2Fi0c wohSZ7NZQRCQkwWNRZyjqmosFjMbIsPhEFs6/JnP530+H5ui0u/3uaAeiozgBKx8xBTNabVaYBHZkSVh YrZaLbu3PLt7Lx6PI/xHrGS86V047MgHg8G1a9eQGXRwcMC5E0aj0fPPP08zKgkh0Wi0VCqBqoIj7HsZ DAbII6UxEeQ50xNQZ5w6WnK53MrKClK3WAq5A2mUxq0qlUqr1YLVwt0sVj6k3aJYyez0KRBEWFfQjRs3 5ufnHTKkUOoWi7qdA6BarYbD4fvuu+/y5cuW0mGzACxUQRDq9booilC0o//barVo5AtFbdAz4/H47u4u OH94Mna2qWUXSiQSuVwOYkUObaMJbix0XWdnRcuYiKqq7NMG/Quf5+bmAoEAlCfpbNBqtVyD40WCYRjP PvusnX1q55qGwDZ30DLGyS6NSOIyr+hgV0H9hooSjsdjusiBZ0cI2dvbY9mmk8mk1Wph9p9RgxLR5clk YpfRoKrqkd57bsl3OBm0U+7xQl9vNBpNp1PzY4QsKT5bTmqzzCySJM3Pz2MuzmQyty85BcI/PmiahgJp KHiWSCQgYXR4eNhut0OhkGEYyOJBpg8eODTUFUWZfaZGKQ3L//J6vSC4WS6xlnGuwWDAhpYcTBk42Oi+ FoQ4ViB8MBgIgjA/Pz8ajTi6sSzL58+fH4/HKNNgzrXmwNoBe3t70WjUMn8YW3Noe1cqFdbveGShMlmW Qe3EAJRlGWUa+/2+2fpvt9tUXAS/SE15u8gRJLCoAA+gKIpl1TeALRzD/pwZWLEGgwHtNpTaQsE+/8PD Q8ox5Gwsu1+hC1gsFrN06NZqtU6nAzWqWxO65dhO/X7/8PCwVCpFo1Hka3CeOdqM+fl5h+kIjtVUKmVJ HKZgM2ktQftPu91my6Cw34LhBfkKmmQHyZxUKhWLxcz9HJYi/TMcDi8sLHC6hXaGoKVT1jCM7e1t+qwg CkVuij4jg52YrBywsPEZAriEkEajQZ8qFSe86zj9BgfWbLv/7XQ6lt3dcgDMSNOz9B+oqorCK6zNSy94 cHBw8eJFLGPm7/b7fZZxzQGipTBiUEbEXGCaRbFYPNJZAm8QjHoQHi23j6FQqFQqoeA1O5GNRiOHmMJx 5a4x47ClrlEOStO0dDqNMpu3Hy6h6zq7u4U6WSwW297epgxitroBPOGodVmpVHZ3d2dxRBWLRVVVUVPb bl+O6DXoIJTVT+Fgpsx2u6TT6eDu6BFUlKUrR7/fh7Nd13VaTgLeaRARyM0M6hl/Edje3obuu6WN2Ov1 rl+/zpYp4bqWJSaTycbGRiwWu3DhAmGmY5/Px9UCBWCZof1cVqGleQelHO6/MHiPVDWFXhOVzcBBkHvw OZ1OU9FeoNVqYYWze7aWi2sgEEgmk+adBra8+Gy3TT9W+eUZyUa4ZSpWy90jhWUMiL3IM88841Ceyefz LS4uOthz2WyWmzlRhZXYx6a5XoFNIOqqHB4eglQniuJzzz0HGlwmk6FBXgjxsZnVq6urZiI/IcTj8bDy hoBlVaDhcIgsYkLI3Nwc1OKpdJgdxRiysDBTWH/b3cXpNziOJMtAv3LGgEUymYQsWL1eP27G5ng8dvbt 2zl4jyT6UQesruuHh4eNRsM8lqBUjWQwbnyag02sx9vM1gZCoRCq7BITifrITRKlbswiBYii3uyN4DaJ YzbHLYNbCPv9frPZpFO/ZWs1TUNy74wEN0QZLJU/OJ2Vbrcry/KZM2eGw6GiKGy+sWVo7FgBGppU2Ww2 FUVBNjV7At6jKIoLCwvT6ZSyMbAAoCjXcZPYB4PB3t4eG6/hdurc4nektUHR6XRQQZAekSRpYWEBeSXs q6G9nRtxdqsaVM64g7u7u5VKBYIHSOa0/C5kqVjGRrFYjEQi4K37/X5JkswLkiiKlUrl8uXLs9MXRqOR ruvcUEVKPz4jF5pNZrk1YA/d6/Wc2wYrxzCMWq0GTvSxfgVlSixZ7alUihpVfr/f5/OZW4Lsa3JTaYNr Pz74fD6OQ4aClMTk4m00GplMBsOt2+1yhI9arUbnsU6nM51OC4UC/V+/389GY+ErRRLW/v6+KIoovQbL lZuZURyO9R71+3280FwuB18sGMfmpyQIAjSazf91F3H6DY4jy40euUdhAXWEWWYBWsGPbkYd4nnUuT0/ Pw+TH3aSqqowqO1c64QQc2FuS8sd+2l6Jisu6exyaLfblrUYBoNBt9sNBALNZlPXdVrj40iOCKYSRFss p2kkYtht4lnNhtuHc2l1YEb3ifkFiaK4uroKhRU28xnLj/l3IQfJUUBarRZED7nch2AwSMtBEUJ8Pp8d /44FvV+/3w/zl86tlrXr2C/iA7vfujX0er2FhQWv1zscDkOhEIqfHZfynEwmoazjwC4ihKD4HKtoSQhB eBsZvHTEzVL5kwUys5LJpLMQKrdk9nq9GzduVCoVVDKy/IrP54MvxO/3H4svubGxwdn6dOTSvKFMJuNQ 22+WdOtZ9mZIC2cZEsf1QQ6HQ8uWQFyVutxQisHr9XKbxsPDQ8h+EEJisRi930AgQP09giCUy+VWqzUe jyHXpGmaHaGk1+vRF33jxg1uIWcN/UajwRoc5IV2LafiT3tvLpdD3Vf4UXBTrVbLgZl0rJXrJYLTL/zl oM8IQJTQ0tkYDoe5Zc9SIYpYCTrBEU3lrYjVuh4IBPL5fCaToY5HDCd4/EKhUKVSoRUp4Zzwer3goPn9 flmWkSA6Ho+PdLdA1YD+yck7OiMej1um+YVCIcxxo9Go3++nUqm5uTlOBoorFYurbWxs2D3zeDy+sLBg GIYdLUOSpBlnYaRUOJycSCSgF+58nVsTHyM3S+9CuNAuKAbeACgISDbhfg6iithTsoz9YrE4Ho/ZXINZ iCz5fB5ZdtSscUju6Pf7YBqxLLZqtTrLwnzu3DlEvuyYT4gr1+v17e1tKM0cy46ktUbpkIzFYnb7OVQJ wIv2er3YX3Y6Haw9+F3zcwgGg849Tdf1W4jlIW01kUjQvRAyUdkThsMh7DBqJ9HGRKNR9BDsX9mHZukw Q64sXfhxZbuu4tAZZtQATKfTXq83lUrJsmxW5UkmkzNadXYt0TRtbm4uHo9jtpEkqdvtopY95xsDIZrc jMl6PB4EKFnOPoKDMD0lSbJzp8Xj8V6vx96+gxPX6/Vy/bDT6dBxihxdSwIWCuZBmQMSbeapCdqAdj/N /uLBwUGn0/F4PCdkl7jCX9aY5XHbmTjz8/O1Ws2ZaQzY+VGchS5Go9HOzs65c+fYg6qqUorTcDgEC0kQ BLasGnlhKddyuQx1uSPbSTEcDlnPJAtabQhj3uv19no9y0ooXI4JaErsILEs0uH8TMDKdJjHZ5/iUdRU UZTd3V0MY9Z5EI/HZVk+iVxiClVVr169evbsWSgRWWavQBRyf3/fuSWbm5vsTI1rooQ3jkQiEecFGzE1 6BXOrj8IaXmk6smyjHmZ/i/1ZsXj8VgsRuPxkUhka2vLwQBqNBqBQICuggcHB8vLy4uLi9iFx+PxyWRi Hndcd2I3fz6fr9PpPPPMM8vLy9xUOB6PEbMIhULpdJolDbA+PzNKpRJ1aNOqvMeVXLNDr9ejJaPNNlm/ 3798+XIsFkPkRZZlSZIgawszq9Pp9Pv9I020WZRkcXGHFRTZTIZhOIS3IpGIIAhUBqPT6ZhTMCKRCPRp bpNxtbOzgwRjtkgsMqvpvohaG4DH47HkMdTrdfhlU6kUK+XJgi20NgvMmXfgL+OzZRY6gMqLiUTCboeD UX9kA1CKD5+73e65c+eOdPO/aDj9Bgd0u80b9CPZA3Nzc6Io5nI5VVWPFMi65doKhJBer8fWAWdHI2j2 hmGAHWn+LtRBqA92dmCvXCqVZFlut9vstMvtY6bTKZ3XwPYQBMHn8+VyOXOohXuklrPYkb2/1Wqx3ma7 0mKzAPFmKjwlyzJd5KDEZ27bnXWwEUI2NzfL5TLIpxCVYhcYKNseOQVzHWxra6tYLGazWZ/Pp6oq3cja xd3K5TLtY71ez64mluVIIYzEC7JIxuMxDB3aVUABWV9f73a7DjtFFlxXmUwmiUQCvj2uFBwAjc5ms2kZ Q2EDl1zKNOUqDgYDyEDRh2k5pgKBgNfrTSQSsiwj/6VarXa73VgsViqVRFG0e4BcMNFMjWLR6XSQH07s 43qdTgdpUPgTCW5w/tGHMEuWO9Kp8MpwQWqqZjKZQCBg974QGUFkDTmidoJm6XQ6HA6zep1cjxUEIRwO 466dW2upj8KmZbVaLejzcnKOLJOM7V2QRUBRYvaamqbRWtyNRsNumT8uyT0YDEIhlxoH8Xg8FAqB+eSc M48bZ+clqloWiUT29vYMwwgGg+zmExMya12ZR9ateSNOAicbUlFV9TOf+cwjjzxy48aNV77ylQ4HKU4i pGI5Q0WjUQcroVQq0VQicA5uP/HSDt1ut1qtDgaDWCyGXQIXbx6NRjAIWq3WYDDAAkMI2d7e3tvbA3Ev Ho8ft6impmkgYWQyGU3TZrGZ0uk03TPBz+8gqmgHlNWA7I/lCdPpVBAE6Axi3GJvd6xfIYSEw+FoNMra LpPJhG1tPB7nTJlbkxZ1BgxWyjLmfgJ+4OP+7nQ67ff7oVAoEolks1nMpJFIJBwOh0IhxDLoyalUimXO 7+/v2/FjFhcXZVl2CNIrihKPx83OmOl0GovFer0eNKlmSWyGQC3tA91uFxKcvV7P0tmDKmWBQAD8WYcW UkYUwEo4gEyDz0jeRs0wHAmFQsViER57asGD84hQF9wSqDnCrUOhUAhqV/Rqzu90Op3SFQ5rueWCB5NI FEVJkrxeL/oSm6Wi63qpVFJV1a70YDKZFAQhGo3CQZXL5ZD1jRMw4diN/WKxSDOGBEGIx+PmGwdgvmua Rh+1LMvcygdqrfP0zoWxkOFMi/5QgP3KDWewgvB5MpmAw9FoNG7cuNFqtWq1GsLT9Hwq7wbYdap8Pn8k zTaRSBQKBV3X4b/BeCc3qzASQhCX7Ha75kdNg85ICqOsI8MwQqEQpGtg9UJABYknfr9f1/Xt7e3t7e1q taqq6ubmZrVaFQQhEomwGw9d10Oh0JGqlcfFrRkxJ2twPPHEE5IkPfjgg4888sj8/Dx8VpYHKe64wcGl xYbDYVQ1G41GkiRhUuAYGOBp0glaEASsr3ewVWaARIl5x5IoRKtLoNd6vV46L49Go3Q6fVxpc4pEIhGJ ROzmcZaEAb1C+l+yLCeTyWw2C3vlyCivLMtzc3ORSMTj8UBpm/1f9uugNWB6gjT4se5oYWEBy0yz2ZQk iY4NRVHY97i4uDgcDu3sHjODZ5YwtsfjQYD51lTbZweoACj4RG8Bcl7BYBCcxGQyiSHGboAcNJQgapJO p/GOLGuu2nn7fD4fTJlZrI3l5WVzgbd2ux0MBu28L/DGGYbBtj8Wi+GWaV+iFCgKCJWaL7iysoLZGW6P YrGYyWTMnsKdnR36EFRVRZ4wm+Hp9/sXFhZg9jkneTogmUxaNnI4HLbb7Xq9DjsSCefsCSgNimGo6zq3 MEOug9ysYYmMBlaKezqdOuw0sJNhj1AFT8KwSQBBEHK5HHUnWJqtbHcCvYAbUPAEsOdbpuz6/X4U3mNH WTKZZP9EAhFLcJYkieVBI5DkXLdheXk5FAohtQRuXZY75fP5stnswsJCLBbzer2cGMlgMEin0+xKLwgC N0XLsryyspJIJFBVFCdD2iASibAVvFkrE3ZYp9OhsR76EgeDAXSDKOt2MplAycnuNm8NL0UOx9WrV++7 7z5CyIULF65evQqxM8uDzz///OOPP04Iee1rX1upVO5gGzivKUuY0jRtaWkpmUyKoliv1/v9vt/vhyuV u4jX66VTCfW6Yyjewapj4/E4EAjMEuDs9/vcRICKaFz6Hwu4bc2BJCiSEULW1tb29vZarRY7vCEXuL+/ r6pqIpFIpVLsoMJqRwhZXl5eXl42DOPKlStY0YPBYDwe58jwqIOKz+zUI0kSdBt/8IMf0INHbobsAJ8/ /XN/f5+Gk7lJEBpW3/72ty2vE41GuTUglUo56wuFQqH19XXMGnBH3UL7zc1wkEmAdrg5NmQ+QsGWGORS UqEoRQgJh8PpdHo8Hj/99NMztpPLuUAgAMR7GmgHUqkUXFzmSBl3JJ1Ol0ol6IhjIKO4KHsCPJEgNECl jbtmuVyORqNQ1mId2vQRHStjMxAIcK4LFMTBZ4eaPohHsPwkGklJJBKlUslsx/h8PrqCdjodVv0dgNIU jWyafSqpVMqhJ3AwN77X63FfX1pa2tjYaDabqVRqfn4ezgP8VyAQSCQSeP7sQOYQCoUgNFcoFMwV5uLx uGUFSg6oM8wNz0wmo+v63t4e+BzmGzePlDNnzoCxS8VwWRiGgd5F7TZgfX0dMjYoA4uDlo4fLhcJOTLX r1+nE9TS0pJZuVy8CfYgm8+M1+qw9KTTaXYmb7fba2trdie/mDhZg4NWHGANXruDCHzA8XAH2+DxeM6e PXv58mVyc5PE/S8ibblcjvPEspAk6d577z08PBQEAYVwdF3Hv9/61rfYM+fm5rrdLp1TgsHg6uoq8hWD weDe3p5DDA/Kkslkkm5i6JRkjgdDyQB9DimCKHuITsnaVdDGwZxYr9fZwRyJRCqVCh64JEmLi4sQl4Sj NRgMotOvrKzQr1y8eBGiv9Am4m5hfX291+uZ3XoArQWKn6YtxO6Nmy5vzUnwile8IhQKcTFp+qOpVIpu oJPJJDqD5SIRCARKpRKKT9KD6CGwOSw5QD6fjwZu7fKAIpFIMBgMBoNced5SqQT3HpVxA1ZWVqA6ZVeJ 1yys4oxcLoesmUgk4vP5Dg8PaX/jNDGPJFzn8/nJZCJJUrFYZHUb4/H42bNn8ZnVfoBZPD8/L0mSmQDE qWgkEonV1VXyQuOJ+xZ0LAghqLRi107weKbTKR19KysrMz60dDpN7WYqvr62tgZljnQ6TdMvCSGVSgVi aMlkslgsQqwWmWV04alWq81mUxTFcrkMxigGLwrcUxrE4uIiF1oCDYI9sr6+zq5nc3NzNEYgSdLS0pJl 2g50u83HM5kMO/nggmZliDNnztA/y+UyzaIql8v0ZPZbkiRBwxR/ZrNZ+B4IIXCs0jOTySRiCpIkYcZm 24wS8B6PBwYrISSVStFBhKqQ8/PzXOWUhYUFOuTNkq+SJGELBKo+F5Vm5ysOZu1OVowLQK0u7rRYLPaK V7zi4OBgMpkkk0lu3wiIomge1MvLy7u7uwgV4VvpdJpu/1gaEBKg4vE4NVDM7/Fu4XgVj46Lz33uc69/ /evPnDnzz//8z36///7777c7SGH2tN8mQBuEGQs60pUrV6hDbG1tbXbGviXG4/Hh4aFhGNFoNB6PY4Vu NBr9fl+W5Uwmw71pPPDRaFSr1WC1wK2HIkP4Onia6DSDwQDq+oeHhzQckEqlEDLEjIakWXp9kDwGg0G1 WuXaAKo5FnLMibdz785gq2ji59gBrygK3d9QSuNoNNrf39d1PR6PI6EATeVYdUgIbDabYLSAwO/3++Eb Q2UQOmFReWBgOp2C2BiNRvG0+/0+pi0YfBCfLZfLMB0wn2qaBq8pYbYyIJoFAgG6ILF1HXVd39jYgM1B vWJ4cThBVVWUATMMIx6Ps2utruu6rmua5vV66UZH07R2u43pGP62TCaTz+dvrVY7CzyxYDBoHgtUv4Hl Wi4tLaGPccs/yoNh5mWNFUQwickNOxwOq9UqlLxp0QpopUciEZT6NLeWqjvg9o91p2gJRNln/IqmaTTj ZnFxkS75KFtoGRrnJFyPBfAAoKoyGAzo8r+8vIwaKwgUEkKSyaQ5Z6HT6TQaDY/HgzI3dr9ycHAA24vy QFFpBc0ejUZITOOCcXYw3y8r1lIqlWDTj0ajUCjEDcadnR08Wy68ziqThsPhUqlkmaABeRukvNo1FQXl j+QxIGxB9x7BYLBcLh8rpxSeEkVRwNi4Zaqmx+ORJGmWdRDKpB6PJxwOt1otlOPGg0JNzeFwCKXR21zm zLg1SbGTNTgee+yxer3+i7/4i3/4h3/47ne/G55ty4MUJ2dw0COGYXS7XRCp7uAPvThAtuqR0yUoZnZp OChl9yIULMb8bpcLDrYa6xUwA4Qbr9er6zrkwAVBsGt5LBajNRcMw0C9j1lMe5TA9fl8tzYsoUkPcit3 HPUwYXDM8uJuAbdvcDhDURRd1yFCBQPrru+W0IaT43GbAbv2js/aRwIsVBTvRfrDnZqxqZWgqqqmacdN c5vl+mj5kcv8dDr1er12cpmIMr9oTx5zpqXU4YuG2Q2Ou4iXosGhqurDDz88nU6z2ez73//+K1eufPWr X/3whz/MHuS+8iIYHC8HOBscpxWswfHywUkbHC9BIFfwTtVP/u+CO2tw/LeAKIqJROK4+Xf/3eEa54OV 2wAACSBJREFUHC8eXIPjjsA1OF4+cA2Olwlcg+NlglNscNzh3FwXLly4cOHChQszXIPDhQsXLly4cHHi cA0OFy5cuHDhwsWJwzU4XLhw4cKFCxcnDtfgcOHChQsXLlycOFyDw4ULFy5cuHBx4nANDhcuXLhw4cLF icM1OFy4cOHChQsXJw7X4HDhwoULFy5cnDhcg8OFCxcuXLhwceJwDQ4XLly4cOHCxYnDNThcuHDhwoUL FyeOEy9QflyIonhni18bhrG9vR0Oh+/gNV/6EEVREIS7Xkb8RUatVpuxHv0pw8vtlgeDgaZpd7eG+F2B c6n30wfDMHZ2dtzZ+9TgJVct9o6j1Wr99E//9Le//e273RAXJ44PfehDDzzwwJvf/Oa73RAXJ4u/+qu/ unTp0ic+8Ym73RAXJ4tqtfqud73rscceu9sNcXFn8PKyl124cOHChQsXdwUvuZDKHYcsy+985zvvditc vBj48R//8UKhcLdb4eLEsbKyEgqF7nYrXJw4/H7/L/zCL9ztVri4Yzj9IRUXLly4cOHCxV2HG1Jx4cKF CxcuXJw4TnlIRVXVP/7jP+73+5VK5QMf+MDdbo6LO4w/+IM/+NVf/VW/38+9aPe9nyYMh8NPfepTqqqG QqGPfvSjoii67/pUotVqffrTn5ZluVgsfvCDH9Q0zX3Rpwyn3MPx5JNPViqVj3/847VabWdn5243x8Ud w2Aw+NjHPvbNb34Tf3Iv2n3vpwlf//rXX/nKV37qU59aXl7+5je/6b7r04pHHnnkLW95y0MPPdRsNq9f v+6+6NOHU25wXL169cKFC4SQCxcuXL169W43x8UdQygU+p3f+Z2LFy/iT+5Fu+/9NGF1dRWpzuFw2Ov1 uu/6tOJNb3rTG97whuFw2O124/G4+6JPH065wTEcDoPBICEkEAj0+/273RwXdxKQx8Fn7kW77/00YW1t LZVKfec733niiSde85rXuO/6tCKfz4ui+NBDDxmGEQqF3Bd9+nDKDY5gMDgajQgho9Ho5SZX97IC96Ld 937K8NnPfvaxxx777d/+7WAw6L7r0wrDMGRZ/vSnP10sFh9//HH3RZ8+nHKDY3V19dKlS4SQy5cvr6ys 3O3muDgpcC/afe+nCY8//rjH4/nIRz4C7Q33XZ9W/Mmf/Mnly5cJIYlEQhRF90WfPpxyHQ5VVR9++OHp dJrNZt///vff7ea4uMP42Mc+9lu/9VvIUmFftPveTxP+9E//9NKlS4FAgBDycz/3c/fdd5/7rk8ldnZ2 vvCFL4zH40Ag8JGPfEQQBPdFnzKccoPDhQsXLly4cPFSwCkPqbhw4cKFCxcuXgpwDQ4XLly4cOHCxYnD NThcuHDhwoULFycO1+Bw4cKFCxcuXJw4XIPDhQsXLly4cHHicA0OFy5ejjg8PMxkMuyRSCTSaDScv/Wl L33pNa95zR1pwIc+9CHoOFH8/u///h/90R/dwqU+//nP/8u//MsdaZULFy5ODq7B4cKFi6OhaVqz2Xzb 29725S9/+fav9sQTTxQKBUhr3D7e+973Pvzww7qu35GruXDh4oTgGhwuXLh4AR566KGVlZW1tbVPfOIT hJDHH3/8Pe95zz333PNnf/ZnTz/99K//+q9/8YtfvPfee++9996lpaWzZ8/afet973vfRz/60Xe9610P PPAAZw188pOf/PCHP0wImU6nDz744MLCwute97qnn36aEGIYxm/8xm/cc889c3Nzv/Irv2IYxgc/+MEv fvGLhBBN0+bn569du/aBD3xgfX39TW9609e//nVCiNfrfe1rX/v3f//3L+5zcuHCxfHgudsNcOHCxd1B s9ksl8v0z8FgQAj5p3/6p6985StY+++///7Xve514XD4b//2by9durS8vPz4448TQh544IEHHnhA07S3 vvWtDz74oN23/uZv/mZ3dzeRSLzjHe/42te+9ta3vpX+1sbGRj6fJ4T8+Z//+eXLl69evdpqtV7xile8 9rWv/eEPf/jUU09997vfJYScP3/+ypUr73nPex5++OEHHnjg0Ucf/bEf+7GvfvWruq5funTp0Ucf/bu/ +7v777+fEHLPPfd861vfesc73vFiPkAXLlwcC66Hw4WLlymSyeQ2A1Qq+cY3vvHud78bNdLe9773feMb 3yCEvPrVr15eXua+/tGPfvRVr3rVL/3SL9l967777kskEoSQpaWlZrNJv7izs5NOp/H53/7t3375l3/Z 6/Vms9m3ve1thJDz58//xV/8xVe+8pVPfvKTBwcH4/H4J3/yJ7///e93Op3Pf/7zH/jAB17/+tf/67/+ 68c+9rFwOPyZz3wG1zlz5swPfvCDk31eLly4uD24BocLFy7+C4ZhiOKPpoV2u61pGiGkWCxyp33pS1/6 3ve+93u/93sO30omk0f+nCiK9Isej4cQ8u///u9vectbtra23vKWt7zyla8khEiS9Pa3v/0LX/jC448/ /rM/+7P33HPPk08+WSgUHnrooXe96134riAILofDhYuXOFyDw4ULF/+Fn/iJn/jrv/7r8Xg8Go2+/OUv v/nNbzaf85//+Z8f//jHv/SlL8FEmPFbFKVSqV6v0y/+5V/+paqqrVbrH//xHwkhjz766M///M//2q/9 2sLCwuXLl3u9HiHkve9972/+5m++853v9Hq9v/u7v/vZz372wQcf/NznPvfII4+gGtRzzz1377333skH 4cKFizsNl8PhwoWL/8Lb3/72b33rW/fcc49hGA888MDb3vY28DZYfPKTn+z1em9/+9vx55NPPun8LVEU qWkCzM/PHx4e5v5/e3eIAiEQhXFc8QQG2WQweQDBNEcQTILBIohBvYPBIxg8gEWsJoPNKoOH8BaGDQsb lhUWllk2/H91XhoY+OYNzLvd0jSVUrqua1lWnuemaQZBUBSF53mO45Rl2TTNPM9CCMMwHjNCkySJ47jv e9u2u67TdV3TtH3ffd9XuzUAvsO0WAC/tq7rsix1XX9YL6XMsmzbtrer53mGYThN0/N1BsAf4nwC+DUh xHEcLx9/XRnHMYqitm2vCoZhqKqKtAH8OTocAABAOe4EAABAOQIHAABQjsABAACUI3AAAADlCBwAAEC5 O6Lr/l9m3FjnAAAAAElFTkSuQmCC\n"
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
} }
], ],
"source": [ "source": [
"%%R -w 10 -h 6 -u in\n", "%%R -w 10 -h 6 -u in\n",
"plot_cross_validation_metric(df.cv, metric = 'mape')" "plot_cross_validation_metric(df.cv, metric = 'mape')"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": 8,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAmQAAAF3CAYAAAALu1cUAAAABHNCSVQICAgI fAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9u IDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzsnXtsHNd59p+9kcslubuk qQu5lMU4Em1Rji0zUiLnIikNDLUyqtS9pG6CIkjgqhcBCRq0aXozEiMfEiCAgQQK2qppk7Zu4hYNWhsw okKxLQlwIyuKZKU2LZGSRUq7FEmtyL1wL9zr9wd7xmdnZ3ZnlzucIfX8AMMiuTtz5sy5POd93/MeR7lc LoMQQgghhFiG0+oCEEIIIYTc7VCQEUIIIYRYDAUZIYQQQojFUJARQgghhFgMBRkhhBBCiMVQkBFCCCGE WAwFGSGEEEKIxVCQEUIIIYRYDAUZIYQQQojFUJARQgghhFiM2+oCNEpfXx+GhoZMu34qlUJnZ6dp11+r sF6qYZ1ow3rRhvVSDetEG9aLNmu1XiYnJxGNRut+bs0JsqGhIZw/f9606586dQoHDhww7fprFdZLNawT bVgv2rBeqmGdaMN60Wat1svu3bsNfY4uS0IIIYQQi6EgI4QQQgixGAoyQgghhBCLoSAjhBBCCLEYCjJC CCGEEIuhICOEEEIIsRgKMkIIIYQQi6EgI4QQQgixGAoyQgghhBCLoSAjhBBCCLEYCjJCbE48HsfU1BTi 8bjVRSGEEGISa+4sS0LuJuLxOE6fPo1SqQSn04n9+/cjEAhYXSxCCCEthhYyQmxMLBZDqVRCMBhEqVRC LBazukiEEEJMgIKMEBsTDAbhdDoRi8XgdDoRDAatLhIhhBAToMuSEBsTCASwf/9+xGIxBINBuisJIWSd QkFGiM0JBAIUYoQQss6hy5IQQgghxGIoyAghhBBCLIaCjBBCCCHEYijICCGEEEIshoKMEEIIIcRiKMgI IYQQQiyGgowQQgghxGIoyAghhBBCLIaCjBBCCCHEYijICCGEEEIshoKMEEIIIcRiKMgIIYQQQiyGgowQ QgghxGIoyAghhBBCLIaCjBBCCCHEYijICCGEEEIshoKMEEIIIcRiKMgIIYQQQiyGgowQQgghxGJMFWQn TpzA/fffj23btuEb3/iG5mf+/d//HSMjI9i5cyc+9alPmVkcQgghhBBb4jbrwsViEUePHsXJkycxODiI PXv24PDhwxgZGVE+MzExga9//et47bXX0NPTg7m5ObOKQwghhBBiW0yzkJ07dw7btm3Dfffdh7a2Njz5 5JN44YUXKj7z93//9zh69Ch6enoAABs3bjSrOIQQQgghtsU0C1kkEsGWLVuUnwcHB/H6669XfGZ8fBwA 8OEPfxjFYhFf+cpX8Mu//MtV1zp+/DiOHz8OAAiHwzh16pRZxcbi4qKp11+rsF6qYZ1ow3rRhvVSDetE G9aLNuu9XkwTZEYoFAqYmJjAqVOnEA6HsW/fPvzv//4vgsFgxeeOHDmCI0eOAAB2796NAwcOmFamU6dO mXr9tQrrpRrWiTasF21YL9WwTrRhvWiz3uvFNJdlKBTCzZs3lZ/D4TBCoVDFZwYHB3H48GF4PB685z3v wfDwMCYmJswqEiGEEEKILTFNkO3ZswcTExO4fv06crkcnn/+eRw+fLjiM7/2a7+mmB+j0SjGx8dx3333 mVUkQgghhBBbYpogc7vdOHbsGA4ePIgdO3bgk5/8JHbu3Imnn34aL774IgDg4MGDuOeeezAyMoKPfexj +OY3v4l77rnHrCIRsqaIx+OYmppCPB63uiiEEEJMxtQYskOHDuHQoUMVv3vmmWeUfzscDjz77LN49tln zSwGIWuOeDyO06dPo1Qqwel0Yv/+/QgEAlYXixBCiEkwUz8hNiQWi6FUKiEYDKJUKiEWi1ldJEIIISZC QUaIDQkGg3A6nYjFYnA6nVU7jwkhhKwvLE17QQjRJhAIYP/+/YjFYggGg3RXEkLIOoeCjBCbEggEKMQI IeQugS5LQgghhBCLoSAjhBBCCLEYCjJCCCGEEIuhICOEEEIIsRgKMkIIIYQQi6EgI4QQQgixGAoyQggh hBCLoSAjhBBCCLEYCjJCCCGEEIuhICOEEEIIsRgKMkIIIYQQi6EgI4QQQgixGAoyQgghhBCLoSAjhBBC CLEYCjJCCCGEEIuhICOEEEIIsRgKMkIIIYQQi6EgI4QQQgixGAoyQgghhBCLoSAjhBBCCLEYCjJCCCGE EIuhICOEEEIIsRgKMkIIIYQQi6EgI4QQQgixGAoyQgghhBCLoSAjhBBCCLEYCjJCCCGEEIuhICOEEEII sRgKMkIIIYQQi6EgI4QQQgixGAoyQgghhBCLoSAjhBBCCLEYUwXZiRMncP/992Pbtm34xje+UfX373// +9iwYQN27dqFXbt24bvf/a6ZxSGEEEIIsSVusy5cLBZx9OhRnDx5EoODg9izZw8OHz6MkZGRis/99m// No4dO2ZWMQghhBBCbI9pFrJz585h27ZtuO+++9DW1oYnn3wSL7zwglm3I4QQQghZs5gmyCKRCLZs2aL8 PDg4iEgkUvW5H/3oR3jooYfwm7/5m7h586ZZxSGEEEIIsS2muSyN8Ku/+qv4nd/5HbS3t+Pv/u7v8JnP fAavvPJK1eeOHz+O48ePAwDC4TBOnTplWpkWFxdNvf5ahfVSDetEG9aLNqyXalgn2rBetFnv9WKaIAuF QhUWr3A4jFAoVPGZe+65R/n3U089hS996Uua1zpy5AiOHDkCANi9ezcOHDjQ+gL/H6dOnTL1+msV1ks1 rBNtWC/asF6qYZ1ow3rRZr3Xi2kuyz179mBiYgLXr19HLpfD888/j8OHD1d85tatW8q/X3zxRezYscOs 4hBCCCGE2BbTLGRutxvHjh3DwYMHUSwW8bnPfQ47d+7E008/jd27d+Pw4cP49re/jRdffBFutxu9vb34 /ve/b1ZxCCGEEEJsi6kxZIcOHcKhQ4cqfvfMM88o//7617+Or3/962YWgRBCCCHE9jBTPyGEEEKIxVCQ EWJD4vE4pqamEI/HrS4KIYSQVcDStBeEkGri8ThOnz6NUqkEp9OJ/fv3IxAIWF0sQgghJkILGSE2IxaL oVQqIRgMolQqIRaLWV0kQgghJkNBRojNCAaDcDqdiMVicDqdCAaDVheJEEKIydBlSYjNCAQC2L9/P2Kx GILBIN2VhBByF0BBRogNCQQCFGKEEHIXQZclIYQQQojFUJARQgghhFgMBRkhhBBCiMVQkBFCCCGEWAwF GSGEEEKIxVCQEUIIIYRYDAUZIYQQQojFUJARQgghhFgMBRkhhBBCiMVQkBFCCCGEWAwFGSGEEEKIxVCQ EUIIIYRYDAUZIYQQQojFUJARQgghhFgMBRkhhBBCiMVQkBFCCCGEWAwFGSGEEEKIxVCQEUIIIYRYDAUZ IYQQQojFUJARQgghhFgMBRkhhBBCiMVQkBFCCCGEWAwFGSGEEEKIxVCQEUIIIYRYDAUZIYQQQojFUJAR QgghhFgMBRkhhBBCiMVQkBFCCCGEWAwFGSGEEEKIxZgqyE6cOIH7778f27Ztwze+8Q3dz/3oRz+Cw+HA +fPnzSwOIYQQQogtMU2QFYtFHD16FD/+8Y8xNjaGH/7whxgbG6v6XDKZxLe+9S188IMfNKsohBBCCCG2 xjRBdu7cOWzbtg333Xcf2tra8OSTT+KFF16o+txf//Vf48/+7M/g9XrNKgohhBBCiK0xTZBFIhFs2bJF +XlwcBCRSKTiMxcuXMDNmzfx+OOPm1UMQgghhBDb47bqxqVSCV/84hfx/e9/v+5njx8/juPHjwMAwuEw Tp06ZVq5FhcXTb3+WoX1Ug3rRBvWizasl2pYJ9qwXrRZ7/VimiALhUK4efOm8nM4HEYoFFJ+TiaTePPN N3HgwAEAwMzMDA4fPowXX3wRu3fvrrjWkSNHcOTIEQDA7t27le+YwalTp0y9/lqF9VIN60Qb1os2rJdq WCfasF60We/1YprLcs+ePZiYmMD169eRy+Xw/PPP4/Dhw8rfA4EAotEoJicnMTk5ib1792qKMUIIIYSQ 9Y5pgsztduPYsWM4ePAgduzYgU9+8pPYuXMnnn76abz44otm3ZYQokM8HsfU1BTi8bjVRSGEEKLC1Biy Q4cO4dChQxW/e+aZZzQ/u579woRYTTwex+nTp1EqleB0OrF//34EAgGri0UIIeT/YKZ+Qu4CYrEYSqUS gsEgSqUSYrGY1UUihBAiQUFGyF1AMBiE0+lELBaD0+lEMBi0ukiEEEIkLEt7QQhZPQKBAPbv349YLIZg MEh3JSGE2AwKMkLuEgKBAIUYIYTYFLosCSGEEEIshoKMEEIIIcRiKMgIIYQQQiyGgowQQgghxGIoyAgh hBBCLIaCjBBCCCHEYijICCGEEEIshoKMEEIIIcRiKMgIIYQQQiyGgowQQgghxGIoyAghhJB1Tjwex9TU FOLxuNVFIToYEmTlchnPPfccnnnmGQDAjRs3cO7cOVMLRgghhJCVE4/Hcfr0aVy8eBGnT5+mKLMphgTZ H/3RH+GnP/0pfvjDHwIAuru7cfToUVMLRgghhJCVE4vFUCqVEAwGUSqVEIvFrC4S0cBt5EOvv/46Lly4 gEceeQQA0NPTg1wuZ2rBCCHvEo/HEYvFEAwGEQgErC4OIWQNEQwG4XQ6EYvF4HQ6EQwGrS4S0cCQIPN4 PCgWi3A4HACA27dvw+lk+Bkhq4FwN5RKJTidTuzfv5+ijBBimEAggP3793NRZ3MMqarPf/7zeOKJJzA7 O4u//Mu/xEc+8hH8xV/8hdllI4SA7gZCyMoJBALYunUrxZiNMWQh+/SnP433v//9ePnllwEA//Vf/4Ud O3aYWjBCyDJ0NxBCyPrHkCADgHQ6rbgtM5mMmWUihEiY7W5gfBohhFiPIZflM888g8985jOYn59HNBrF Zz/7WXzta18zu2yEkP/DLHcDt8MTQtY66yXHmiEL2b/+67/i0qVL8Hq9AIAvf/nL2LVrF/7qr/7K1MIR QsxFjk+LxWKIxWK0khFC1gzradOTIQvZwMAAstms8vPS0hJCoZBphSKErA6MTyOErGXW06YnQxayQCCA nTt34rHHHoPD4cDJkyfxgQ98AJ///OcBAN/+9rdNLSQhxBy4Hd7+MMaPEH3W06LSkCB74okn8MQTTyg/ HzhwwKzyEEJWmUAgwInepqwndwwhZrCeFpWGBNlnPvMZs8tBCCFEBWP8CKnPellUGhJkExMT+PM//3OM jY1VxJK98847phWMEELudtaTO4asH+hGNwdDguyzn/0svvrVr+KP//iP8eqrr+J73/seSqWS2WUjhJC7 mvXkjiFrn3g8jkgkgrGxMbjdbrrRW4yhXZaZTAYf//jHUS6XsXXrVnzlK1/BSy+9ZHbZCCHkrodH3hA7 IOIZL1y4gFu3bsHr9a7JXY12zllmyELW3t6OUqmE7du349ixYwiFQlhcXDS7bIQQQgixASKesa+vT0kS 7/f715Qb3e6bZAxZyL71rW8hnU7j29/+Nn7+85/jueeewz//8z+bXTZCCCGw96qe3B2IeMZsNouBgQGM jo7aTtDUQ4hKr9eLRCKBSCRidZEqMGQhczgc+N3f/V1MTU0hn88DAH7v934Pv/jFL0wtHCGE2AErg5jt vqondwd2iGfMZrOYmppq+v7BYBCFQgHj4+NwOBwYGxtDKBSyTX8yJMg+/elP45vf/Cbe9773wek0ZFQj JsNdLoSsDlYLIqa+IHbByvQS8Xgc77zzDqLRKLxeLx577LGGyxIIBDAyMoJsNou+vj5ks1lb9SdDgmzD hg04fPiw2WUhBrF6giDkbsJqQcTUF4QAkUgEyWQSTqcT8/PziEQiTfXDUCiEq1evIpvN2q4/GRJkX/3q V/HUU0/h4x//ONrb25Xf//qv/3rN7504cQJf+MIXUCwW8dRTT+HLX/5yxd//9m//Ft/5znfgcrnQ1dWF 48ePY2RkpInHuLuweoIg5G7CakFkB1cRIXbC4XA0/V079ydDgux73/seLl++jHw+r7gsHQ5HTUFWLBZx 9OhRnDx5EoODg9izZw8OHz5cIbg+9alP4Q/+4A8AAC+++CK++MUv4sSJEyt5nrsCqycIQu4m7DCAr5dM 5IQ0i9/vR3t7O7xeL/r6+hAKhZq+ll37kyFB9rOf/QxXrlxp6MLnzp3Dtm3bcN999wEAnnzySbzwwgsV gszv9yv/TqVSK1K9dxN2mCAIuZuw6wBOyHpHTkbr8XjQ1taGvXv3rsv+aEiQfehDH8LY2FhD7sRIJIIt W7YoPw8ODuL111+v+tx3vvMdPPvss8jlcnjllVcMX/9uhxMEIYSQ9YyIl04kElhYWEBHRwd8Ph+KxaLV RTMFQ4Ls7Nmz2LVrF97znvegvb0d5XIZDoejJWkvjh49iqNHj+IHP/gBvva1r+Gf/umfqj5z/PhxHD9+ HAAQDodx6tSpFd9Xj8XFRVOvv1ZhvVTDOtGG9aIN66Ua1ok2rJdlYrEYZmZm4Ha7kU6nkc/nUSwW8fbb b+P69etWF6/lGBJkzcR1hUIh3Lx5U/k5HA7X9Pk++eST+MM//EPNvx05cgRHjhwBAOzevRsHDhxouDxG OXXqlKnXbzWrlf5irdXLasA60Yb1og3rpRrWiTasl2XkjALBYBClUgkHDx5ct94hQ4Js69atDV94z549 mJiYwPXr1xEKhfD888/jBz/4QcVnJiYmsH37dgDASy+9pPybGIPpLwghhKxX1PHSFy9eXNdznCFB1tSF 3W4cO3YMBw8eRLFYxOc+9zns3LkTTz/9NHbv3o3Dhw/j2LFj+MlPfgKPx4Oenh5NdyXRh+kvCCGErGe0 4qXXa2J00wQZABw6dAiHDh2q+N0zzzyj/Ptb3/qWmbdf9zD9BSGEkLuJ9ewZMlWQEXNh+gtCCCF3E630 DNnN0kZBtsZh+gtCiBHsNvkQUg+tNtsqz5AdLW0UZIQQss6x4+RDSC202izQOs+QHWOwnZbenRBCiOnI k0+pVEIsFrO6SGSViMfjmJqaQjwet7ooDVGrzQYCAWzdunVFAsqOMdi0kBFCyDrHjpMPMZ+1bBk1u83a MQabgmwdw5gRQghgz8mHmI8d3XJGWY02a7cYbAqydcpaXhkRQlqPmHyEC4vCbP2z1i2jdhNMZkNBtk5Z yysjQog2K7V6c6F2d0HL6NqCgmydstZXRoSQSlohprhQu/u426xMAq3Fi93DeCjI1ilcGZHVwu6D3Eqx y/O1QkxxoUbWCivpd3opM+xuHaYgW8fcrSsjsnroDXzrBTu5+ISYmpubQ6FQgMvlavgaXKiRtYDRfqcn 2tSLl0gkgsXFRWSzWWzcuNG21mHmISOEVNBI3qJIJIJEIgGv17vm8lsZeU475e8KBAIYHR1FoVCA2+3G hQsXDOeWkp+1FTmcCDETI/1OiLaLFy/i9OnTFX1BtgQXCgWMjY1hcnISs7OzmJubs611mBayuxy7uGOI PWjEIhSPxzE2Nob5+XksLCygv7/floOcFkaf024uvmKxCJ/P15Db0k5WPmINa2mcj8fjSKVSKBQKNftd LRe+bAlOpVIYHx9XrjE0NIT777/flvVAQXYXw4GaqGkkTikWi8HtdmN4eBjRaBQjIyO2aj+1JiGjz2k3 F18zApGB/Hc3a2mcl8sKAMPDwwiFQk0tluQ0L1evXkUsFoPX67WtGAMoyFbMWlp5qOFAvfYwu701MuGL z2azWfj9foRCoZaXp1nqTUKNPKedYjGbEYhmWfnW8th3N7Ha4/xK2oW6rJ2dnTWvsW3bNgDQFW2Nfs5q KMhWwFpaeWhhN3cMqc1qtLdGJny7WY9k6k1Cdi57PYwKRHlibPWzrvWx725iNcf5lbYLo2VV30dvMWj0 c3aBgmwF2MXC1OyKRJ6UXC6XEjjJgdWerFZ7a8QiZCfrkYyRgd2uZW8FWhPj1q1bW3Z9u4x9pD6rufhY abswWlaj91lr7ZSCbAXYwcK00hWJ+CxXu/bHDu1tLbFW3BRmYPZExLa4tjBj8aFlCGhFuzBSVqP3WWvt lIJsBdjB7WFk4K1nQVtrq4i7FTu0t7XAWnNTmIHZExHb4t2NniFgpe3CqLfH6H3WWjulIFshVrs96g28 Rixoa20VcTdjdXtbC6zWAsPOQe2rMRGxLd691Es50Uy7aNTbY/Q+a6mdUpCtccTAG4lENP9uZHJaa6sI QmqxGguMtRDUvpYmIrK2MKOPtXIhpV4s2XnxJENBtk64evUqSqUSrl69WjE5GO04HLzJemE1Fhh085O7 mZX0MT1x1CqRp14sjY6O4sKFC7ZePAkoyNYBRjMW2311sFLWyiqImI/ZCwy6+cndTjN9TM+yLMbu0dFR FIvFFY3h6vlwenp6zSyeKMhUZLNZTE1NralJ3WjGYjXrScDYyYW0nuq1Vay3OrmbFjqEtAot4wHQ2l3+ 6vlwYGAAMzMza2LxREEmIQ7gzWazlk/qjdDM5GAnAdMK7OJCWm/12grWa53QzW8ea0HA26GMdihDI2gZ D4yO3eJZ4/F43UwC6vmwu7t7TdQTBZlELBZDuVy2fFJvhkYnB7sImFZhFxfSeqvXVrDe6mStTYJrjbUg 4O1QxlaUYbXbstYmNCNjt3jWmZkZnD59uuJZa6XgkO9rtzakBQWZRDAYhMPhsHxSNxPRAV0uly0ETKuw iwvJLsLQTqynOrHDRFyL9SAWawl4uzyfHRYZ9cpQr65Wuy3Lc496E1q9sVs8q9frRalUqnjWZt6FXdqR GgoyiUAggK1bt2LHjh22e1GtQGv3yUoDKO2EHVZBdhGGdmI91YkdJmI94vE4Tp48iWw2C5fLhYcffnhN nlKgJ+C1BAQAS9pVKxcZzYqDWmUwIrZWsy3L5Umn03C73di4caNy361bt+reOx6PI5VKoVAoKOFELpdL ifVu9F3YeVFFQabC6/W29Mw3O6HugMViseXPareVhxXlsYMwtBvrpU7sbO2LRCIIh8MAgHQ6jaWlJfT2 9tpqwjGCnoBXj1+RSESxtKz2xNqqRcZKxEGtMhgRW6vZluXy5HI5FAoFQ/eV6wcAent7K9JYFAoFjIyM NGRcsPOiioLsLsLsDmi3lYfdykNag5Wi387Wvjt37iCdTgMACoUCisUistmsJRPOSt+RloBXj18ALJ1Y W7HIWKk40CuDXFeFQgGpVKoqGH4127LL5UI6nUYul4PX6zUsoNT1AwDFYlFxX46PjyObzcLr9WJkZMTQ nGbnRRUF2V2E2R3QbisPu5VHjd6kZTcro52wg8iWJ0G7vKt4PI533nkHAFAulwEA8/PzSKfTcLlcq14W M96RevwClhNi23FiNYpZ4kAOnh8bG8P4+HhV0nDxObPbbTwex4ULF+B2u1EoFDA6OorBwUFD31XXT1tb m/K7aDQKh8OB7u5uJTuC1jOqsfOiioLsLsOsDij7+e0yQNp5JVQrQaLVgsPO2Elk2+ldxWIxdHR0IBgM YnFxER6PRwlHKBaLVZ+Px+PKTrdWx5mZ9Y60xK+VE2srxLiZ4iAQCCAWi8HtdpveX2rVhWgPImZMqz3q oa6fixcvVonNZDIJh8OBvr4+wxZhu4ZQUJCRFaP28w8PD9simNjOKyG9SUv+/dzcHK5cuYL777/fUNnt Yq0xk2ZFthl1YydxGAwG4fV60dfXh87OTrS1taGtrU2zjkTw//T0NBwOB/r7+/HYY4+1TDSZsTCzU0C/ XnlWIsrMKv9qLErr1YW6DHJAfq3nlvusOtZZ1FkoFFKEmQj4t9PCu1EoyMiKUU9MnZ2dthEEdl0J6Q2U 4vdzc3OYnZ0FAMzMzNQd8MWgmM1mUSgUsG/fPsNugWaxasOEXZIg28UCq3XsDKAvVmKxGLLZLNra2gCg ZXFmrVqYabUrOwX0a5XHbuEQgHa7MKOMRupi27ZtAAC/31/3XElhvR0bG1MC9/XGM1mYrYfFKAUZWTF2 mZjWEnrCQvz+ypUrAFCxNbxe8Gs2m8XCwgKWlpZw5swZPP7448rfWj1QWemua1RkmzV52sECW+s96MUl Cmva/Pw8HA4HvF5vS/psKxZmes9jt4B+u495q9k/jabfKBQK2LBhA7LZrO64Jj6fSCQQjUbR1taGQqFQ MZ5pYdeFd6NQkJEVY4eJyS40YjXSG0QCgQDuv//+hs5fCwaDKBQKWFpaQnt7O9xut6lWhLVgIRC0YvLU e69WTwT13oNsbXC73Uo7eOyxx1oeQ9aKetZ7HrsF9LdqzGuVlVl9nWb7ZzPlqVUXohwOhwM3btxALBZD JpMBAM2FgPh8X18fZmdnkc1m0dnZCbfbreyyXElZ7Y6pguzEiRP4whe+gGKxiKeeegpf/vKXK/7+7LPP 4rvf/S7cbjc2bNiAf/zHf1y3OcDWO1ZPTHag1XEljQz4gUAA+/btw5kzZ+B2u+H1egE0Z0UwMtDZ3UIg ozWZj42NIZ1Ow+fz1RUkdgreV5erVryWbG1YWFjA9u3bFfdkrUScRu6rJ05XKlJqtSsxxqyWK64eKx3z WtWutK5jtH/K7xJo/pBvvboQC8WpqSnkcjnkcjn09vZiaGhIMzZWlDubzWJgYAD5fB5er7dKvMlJkL1e L/bu3WvIXV/r+e3Qp00TZMViEUePHsXJkycxODiIPXv24PDhwxgZGVE+88gjj+D8+fPw+Xz4m7/5G3zp S1/Cv/3bv5lVpJZitxdZC/nIivWUmd9uaK1Kxe+bqXOjA77cFh9//HHl38lksiL3jxHRZHSSWGtWUXky P3nyJMLhMDKZDDo6OjA4OFgzqN2otWE1xwQ5ZjCTyWDnzp3Yvn27pnWir68P8/PziEaj8Pv9KxLPahfU yMhIhaBdqUip167sKo6boVVWZq3rbN26tWoRog6kV9fltm3bWjp+Acvvc2RkBIuLi0in0ygUCnA4HLob lbQWT1r3j0QiuHXrFpxOJ2ZmZpBIJNDb24tCoQAAFdZgvb6qZTm2ui2ZJsjOnTuHbdu24b777gMAPPnk k3jhhRcqBNnHPvYx5d/9aJFcAAAgAElEQVR79+7Fc889Z1ZxWspaGhTkgXt2dhabNm2C1+u1dZnXKlq7 icxuJ1ptcevWrZq5f4zcu5FJQhY5erum7LZwEbF2TqcTDodDWY3Xek75veol2VztMUEdMzg+Po7t27dX lbtQKCAajWLDhg0tOUpJtA85KaeR3E+NUEvUrSVXeb2234wVy+h1jFi+1HUJwJTxKxQKobe3Fz6fTwnQ B6oFokD9/rXuKU6iKBQKKBQKmJ+fx8DAAKLRKABgcHBQt32Ew2GcOXMGuVwOyWSywnJsdVsyTZBFIhFs 2bJF+XlwcBCvv/667uf/4R/+Ab/yK79iVnFayloaFERZ29raUC6X0dbWVnU4K2kN6tXdarQTvXuI3zea +6dRV6ReOgK9v630+Vcq8ERAe6lUQrlcVsRFrecU77VWks3VHhO0YgZr3dPj8bQkVky0D5GUs5HcT82g ft/1AsjtIv7FpC/CB7TavhErs5E+pGVVqmf50qrLUChUsVvRSJtWCz8jrmy5fFpW1nrE43FMTk4CWPbE dXV1AQCi0agSqqE3fsXjcZw5cwbRaBRutxvFYrElluNW4SiLtM4t5j/+4z9w4sQJfPe73wUA/Mu//Ate f/11HDt2rOqzzz33HI4dO4bTp0+jvb296u/Hjx/H8ePHASw39Oeff96MIgMAFhcXlResRzabxdTUFMrl MhwOB7Zu3ao0BLshrBcAKgIkGy2zkXpZS2SzWSX+oNl3V69OVqOd6N1jJfdupG5isRhmZmaUe27evBlu txtdXV2af1vJoNeq+sxms0gkEsjn8/B4PPD7/Yauo/c84nrRaFSxvGmVTW4vrWh/om+7XC7NPt3q+hcY fV4j1OpDtdq2uu7q1UWrMPLestksJiYmkEql4Ha70dHRgVAo1FDdi3pp5h2qv9Pb24uFhQUUCgWUSiXc e++9aG9vRzabhcPhQLlc1nwedf1v3ry54rPy3/P5PIrFIjweT936F+Vzu924c+cOOjo60N7ervkddX0v Li6iUChgZmYGALCwsICOjg60tbXB5/MBADo7O+HxeDSfKRZbTpmSyWRQKBTg9XoxMDBgeAxolj/5kz/B +fPn637ONAtZKBTCzZs3lZ/D4TBCoVDV537yk5/g//2//6crxgDgyJEjOHLkCABg9+7dOHDggCllBoBT p04Zur6dVmN6iNXV5s2bFbeVyObdaJmN1staQNQLAORyOTz66KMN10c8Hserr76KRx55pG5AuNntRH0P 8fODDz5oesyg1gr+4sWLOHDgQMstZOJ4FLFi37FjR81NQK2uez1r4OnTp9HW1oaNGzfWXO2LPtSK9ieX Se8ZZStNKw8Zb2VMaq1xxej7jsfjeOmllwAsxw719PTUbRvNIN5bLpdDOp3WzY01NTWlbKRYWlpCT08P PvaxjzVUR+q20kgf0vpOMplU2kI+n0c+n4fb7YbD4cD73/9+3fcov+sLFy6gXC4rbVa4zb1eL9566y04 HA5D9S9vNvH5fIrLcMeOHQgGg8ruX5GzDHi3n1y8eBGPPPKI8nx9fX0YGRmB0+nEyZMnUS6XkUwm8cQT T2i+GyvyNTaCaYJsz549mJiYwPXr1xEKhfD888/jBz/4QcVnLl68iN///d/HiRMnsHHjRrOKYgprYVeh 2m3V0dGxqhOYXVmpe0l06pmZGZw+fbrmIGlGO1G/J/keRgfwVr3rWm6XVgf+N+JONcNdqvU8U1NTurm3 1McTCVrp3tRrX83GENbDLvmtZGKx5eOB2tvblbgiM9xPsVgMyWQSd+7cQalUUnJjae0U9Hq96OnpMRQz VQu5zblcLiXWS154Gel3sVgMPp8PwWAQ4XAYwHIY0dzcHM6cOQOfz6f5PkX7UrdzcW3hvna5XGhrazNU /+oQABHT6XK5Kk6Q8Pv96OjoqMhZpvd8586dQ7lcht/vRyKRwPT0tG4iWTtvRjJNkLndbhw7dgwHDx5E sVjE5z73OezcuRNPP/00du/ejcOHD+NP//RPsbi4iN/6rd8CANx777148cUXzSrSmqfRSdTqCaxVtFoo rjRlgxzYXCsezwyBW+89GY37kK+x0vQBtURnKwVpI4NpI6Kn3ntSx8nI6LUlreOJhGtupe3PCM3GEBq9 7mrEyhl931oCyIwyuVwuJTeWy+VCuVzWfP56MV2Njq3is3Lc1dDQECYnJ3V3CKr7ndzm5DirQqGge9al Opmwus2qhZWcVb/e84nyqWPW5BMkyuWybkoX9fMNDAzA4XAgkUgo9azeeLMWMDUP2aFDh3Do0KGK3z3z zDPKv3/yk5+Yeft1RbOCSRxZUS9ocjUG2mYEympZOhpBDE61zk5rtNxG66beezIy2cvXqLdCthtGBV4j O9hqvSfZ7ScyxKsnQa22pJ5cstks3G638gxmr9LNEn2rISZljLzv1bJ6FItFbNq0SbGQORwO3eeXy61l XTJSRnlMkBeBly9fxszMDAqFAh544AFDmyq0RKLsitRaUKgD77UWblrCqtn6F8JanCDR19dXkV+s1nUH BwfxxBNP4Nq1a5ienkY4HMb09HRVf7az4QFgpv41Q6OCSd3wtOL3ZMweaJvtCGYJxZVYbsTg9uqrr+o+ R6MWGqN1U+89GZmc5GvUWiGvdbZt26Ykf9Wj1nuSd2S1t7cruxnVW+rVLmMx0amPJ5KDhs0OeTBLpFjh 8jGyWFlpfRpNhtzd3Q2Px9OQJc7lcjWcDzCbzVZZsZ1OJ8LhMFKpFDo7O5HJZDAzM4Pe3l7N3YTq51HX kfh3d3e34loXyAJQpDfx+/2aAke2ogm3oriGkbg0edxbyQkSg4ODKBaLWFhY0B3PVtPC2wwUZGuERgVT ow3P7IFWXZ5IJGLoXqu9Iq+HegBqVjjJyINfNBpFJBKpWSf1rJ5i4NXLDya7GtLpNCYnJxVxppVja62h lXtPL1dWLZfjlStXUC6XldgkIar03qlaWO/duxeJRALA8ru6ePHi6lTA/6GegPVER6OWaz0BasYGklZY NIy4pOWs73pJgpsZI5uN5ctmswCgWLGnp6cxPDyMW7duweFwKOlO3vOe92DXrl0rtgKJI9ZEPwkGl9Oq 3Lx5UwmeV1vi1FY0sdPS5XLB4/FoHgwufyedTsPtdlfEiDVygoTWe6037qr/7nK5mortMwsKsjVCo4NB M0Km2VVmo0ftFAoFwxmSrViR66Ee6IQ7SotGyi0Gv/HxcTgcDoyNjWmKrUasnkYGZTEIA8A999yD69ev 480332x5os/VRghcI7n3tN6TLOjm5+fR29uL7u5u7Nu3D93d3brvVHZTZrNZFIvFikTYVqLXHlYieJpN Oi2LuFgsVnMBoK7TRi0aRp5PZH33eDxYWFiouSAyKnLl8mvF8tX7ntfrRS6Xw9zcHGZnZwEAhUIBXV1d KBaLyGaz6OvrqxBj4pqpVKqhxbjW4l3MFx6PR4nNUlv35O9NTk5ifn4ePp8P6XQafr8fxWIRS0tLePnl l7Fnzx7FrSm+k8vlUCgUMDc3h0KhAJfLpVtGNXrvtd64K/9dy0Jn9ZhHQbaGaEQw1WuYrQo4b+aonVQq hfHx8Yasd2aVvxHUA5dYxeph9H0FAsvHi4hBVm/iacTqWe+z6jiy8fFxpFIptLe3o6enpylTvngn9epl JTQi/kWepXquIvV7ikQiSCQS6OvrQz6fxz333IMHH3xQWeXr3VcEfYu8TY1MMEZptt3rtYeVuHDUwhcA EolETUGjFnFOp7PmTuWV1qnR5xPlbyQtpxHLmmiLsugwMmZ6vV48+uijuHLlCgBg48aNyjUCgQDa29vx gQ98QNdaJZ69VoyrbOlXL95jseWdq0NDQ5ibm9M8e1L+njj1AljO9l8qlbC0tAS3242FhQVcuHABV69e VVyvsdjy5oLh4WHFgnjhwgV0d3cban+13quWh0B8R/SbQEB75ygFGWkp6q32enl76g0IrQoyl5E7ytWr V5t2Q1oVmKkeuGpZyBolFArh6tWrNTcKNGL1bMR0LxIkiszv8rZ1dXuqN9GWSiXMzs6a4vZsRvw36kqL x+O4dOkS5ubmMDc3p7hfjEwWIui7ra0NuVyuZTsb5bI12+71XDUul6vpkABZ+JZKJUxPT8PlculaeIFq EedyuWruVF5pnRrpM6FQCAMDA4qwqhdvK6hnWRNjqFp06GXOV38PAO6//37MzMxUCZju7m6Mj4+jv79f U1gPDw+js7NTdzFuJGBfFk5aZ0+q+9nZs2eVReWDDz6ICxcuKAeKy1Zj9WkmIh1HI6Ko3nvVc6fKwtlu 4TAABdm6QmurvdaqrZ6I0kuAqUWzrlEt653ReJSVrOpXgrrcIiaoFdY6Iy7ORtygzZju1cHKRtsTUPlO xATSaqtmM+K/USKRiBLEn0ql4Pf7K2Jc6rmeRSoUo8HbjbCSdl/LVVMv7YmRfFe3b9/G5cuX6x6lpLZe FovFmuPGSus0EAhgdHQU09PTGBgY0O1Xjz32WFNtU8+yVitWCoDumKmV41B+b9PT01VxV1riotbiSbZi T09Pawbsi3erDvbXqjvxHXUd9vf3Y2JiAq+99hpmZmYUC6e6bzYjiuqNb3JfuXr1KhYWFuDz+RCNRvHG G28ort56bWO1oSBbR4iOJm+11xoY64korYFfj0ZEgvp7WiLQSDyKlSsbvXK3wlpnREQ06rY26grWio0y 2p6AavdFvYD3ZupJxNqFw2HDk3MzgezCctPW1oa2tjbD7azZvmCUlbZ7PVdNsVism1Vd772JawaDQWVy rxUsLU+CDz30EC5fvmw4hlSdGNUIIqi+VCphZmZG18rZjICvZVmTx9BcLodMJqO0W/WZkfJ9xffkHIfi 3cjjI4CKPtBI2xNuYGG98vv9ulZKYbV/44036ma113IVbtiwAf39/boWzlrlrreAq/XOxM7WVCqFWCyG XC6HfD6PcrmM69evIx6PY3R01FDbWE0oyNYRYjUpb7XXGrTrdd5GB/5mrREyaldGo4HYq4kcK7Ua1rrV iJfTeodG25P4vngnb7/9dsNWWTNoJJBdlNHv92NgYACLi4vo6OjABz7wgYaOG2u2LxhN7dCKuNBG+rf6 ventjg4EAhgeHsbk5CQ2btyoGywtBJI4ukY+2UAP8ffVSJvTSF+rZVnTCm+QxYheO5EtiPK7Ec8hTrTR iumSF1Lyz2qEGxhYtpAlEgnNw7XFGCeOgNI7mUBGK+m0EJdOp1NzF7dWXax0s4lwESeTSQSDQdy5cwf5 fB4OhwO9vb2Ki50xZMQ0xABhJOan1sRhheBRuzIaDcReKUYHYnWs1IMPPtiU1aKZ+632TqBG2pP4fCAQ wPXr16v+ZiTmo159xGIxzTxgeuhNxloiQ+w4dTqdSvyL2+3G+Pi4KakW1J81+o712n2j1zDijgKM744O h8PKWYJjY2PYtGmTYgUS9S5SiSSTSSwuLmJpaQnRaNRQvGGzgr4R8dlMX9N7H/IYamQTk9xetHIcys+h F9NltPyyG3hwcFD3/FVhkRYpNtxud8N9TsSMiWz+4+PjhnZxr0RIq8VrMplU8ggWCgXMzs6ip6cHAwMD SngFY8iIKbRKqLRa8Bi5X7OB2CulkYFYHSulDlI1Ut5m72fFKq6V7amWa8LoRNJIDiG9yVj9ewAVdSwO PW62zmtZ4LTEh7yrs5nUDuLajaaHUOee0hMWwsXodC4nJtWql+npaZTLZfh8PiwsLGBxcVFzZ6G8u7Kj o0M5GqdeWZt11zayuJTdhTMzMxWxRs0gu/BqbWLSai+14vVWGltrtE4CgQD27dunnFRhJExA6z2JRZBW Amq9hUsj4QlaVjlZvD700EPKwejRaBQejwfAcpiGXVIqCSjISMtp1sW22iJQ0Ijo0YqVarTczd7PLqu4 ZtGrp2Ymkno5hOQdbolEoiJoVz0hAaiYMFe6ctazwGkdRh+PxzE2Nob5+XksLCygv7+/qXfcaHoIuYxz c3O4cuWKrtVF1HMmk0E+n9e0Xg8MDKBUKuH27dsAlvNXidgqeWfhxo0bkc/nkc1m0d3drWRVl+8njx1q y1ErxpV6IuDy5cvIZDKIxZY3K+htZGnk/rXKriXIm6GRscLomDU4OIjHH3/csJtc71m1ylZvIZbP55HJ ZBpqy7JVTi5Df38/rly5Ao/H03Qi2tWAgmyds9r5ump1slbmPjPq7tMb3NUDcSMDWa1YKSM0ez+7rOJa TTMTSa0cQlobRNRBu/KEFI/Hq04/qJUA1sjziNW9y+XC7du3FXGijosUloPh4WFEo1GMjIw09Y4bTQ8h 6lxOPDozM1M1KcpWoxs3bsDv92tmnB8cHMRHPvIRnD9/Hn6/H7lcDk6ns2JnoWzx2L9/P4rFYkUf0rJ0 qEW33uYDo2jlDhPPGQwGMTIygoWFBXg8HrhcrqYtlmpquZrHxsYQjUYxNzenK8hrWV3riaGVYsRNLtJn yBsbkslkRVnUZdPrw/F4HG+88QZmZ2frnl4Sj8eRSqWqEsyqyxwIBCpSiNj1VBIKsnXMaogjNXrWDnmS VB+n0apn0vqcuN/o6CjGx8c1v9foQCY6u1aslFY51NfVul+t92GV5XC1aGYiqSXiRBsEoATy6m0QaeT0 g0YpFArKQdTz8/NwOp3o7e2tcLXKsZN+v9/Q/bUWGqlUSnG/GnEtCVfkm2++iXQ6revqFOWLRqNwOBzY vHmzkk9KzebNm5HP5xGNRlEqlbBp0yZlkhRlEwhxLPch9djRqqBrub4ikQimp6fR1taG+fl5TExMKPcR IrCnp0f5XSvSl9RaGIpnFvWfz+c1r6FndVULtImJCaRSKbz3ve/VratWjf2yWBfnXY6NjQGAEmOr3i2v 1ba0XNvz8/PIZDLweDy6yXrlvpvP55HP5xWLrNaOSTHONBrPtppQkK0ztDq7njgyI1BczzStDuY1smNH C3kQqLVyEjE1YofQa6+9hu7ubt2cUrLFQv5ZC3mXZa3BrVY9y4NTOByuiNOw0wBhhEYD2LU+24joFNcQ +bPU6RBkC1Umk8HNmzdx7733ak6sWq67gYGBFR2pIsfLJBIJdHZ2AgDS6bSS2FO+diNitJYVCQCGh4cN HcosXJHJZBK3bt3C/Pw8AOChhx6q+Jw8iV26dAnRaFRXpKitdPfddx/Gx8eVhKj1NmSox45GXcdabUtt xREWPmBZNKiPGSoWi9i7dy+uXbuGzs5ObN++vWoR20iMaz2r3+joKAqFgrLj1OVy4cqVK0qeMPmeQryI FBpCxEejUUxMTGBiYgKTk5MAgDfeeAO/8Ru/UbHoFUmex8bGlPpodmEsvy8h1vv6+hCNRgEAXV1dhnbL j46O4uWXX0a5XMbZs2cxMjKCUqmEzZs3IxaLoa2tDT09PZoLFbnvLi4uVgjbWuJdfNaquNxaUJCtEYxM elpWIS0rQi2httKVk1Z8jlYwr5EdO1qIybbeuY/ic2KHkMhErze465nftQZjMaBOT09jcXFR90xOI7FR 8XgcZ86cUZKRNntskVnUaxOymHQ6ncoRUFrXEZOBkTNMa5WnnlsrEAhgaGgIN27cQHd3N/L5PIaGhjTv peW6u3r1qmbyTaPIVi+Hw4FUKqVYyIQwaTaOpZ4VyUgaCfk6nZ2dSkJgIZxE9neB+PelS5dqxvQEg5VJ XH0+n7I5QlhBRP8TVkK5rWhZSo26jvUWP+I5HQ4Hbty4AZ/Ph2w2C4/Hg7a2NmzatElp46Jcoj3F43Fs 37694vrqPIn1kuqqBf+bb76JbDZbcbalCJwvl8uYn5/H5OQkFhYWEA6HK9r28PAwXn/9dSwsLGBhYQHl clk5HeGtt95CJpOBw+GA2+1GsVjE9PR01aHeiUQC0WgUbW1tKBQKTS+M5fcl+rVwAwNALpcztFs+kUgg Ho+jra0NiUQCQ0NDSt+ptQMUqBTwLpcLd+7cQSKRqIqhVI/dernc7AAFmUFWOxZLfW8jFi21VejChQvY t29f1YDRTIClVpmM1IcYkNTBvM12hEDA2LmPgUD1DiGtwVM8h1gpy+Z3Yc4G3s2BJGfdvnHjhjJwaE3c evUs15uwprS3t1cdW2Q19dqELCbdbjdyuRyy2WxVbIY8GSwsLGD79u0r2k1oxK3l8/ng8XiUw5F9Pp/m 9cSkonVmYKOxJloB6CK7+uTkpNJ2ai0M6l1bfdRRLStSrT4q2mYymcTS0hIcDgfK5TLK5XLFexFCOhwO G4rpkWPxgHc3S8j9Tz0xDg0NVeR6q2c51XouvcWPWJhNTU1haWkJpVIJHo8HAwMD8Hg86OjoqDrKp1aq FJFPTCQaPXPmDHw+n+6YqRb8+XxesUaKMTAQCODxxx/HlStXlDxu8/PzuHbtWkWwfyKRgMvlUkQPsLyZ Y8uWLUgkEigUCiiXy8jn8/D5fBgYGFA+J8rf19eH2dlZpFIpeL3eqvfdKOL9yIluxf2MWhLFiQ3CclnL YpzNZit2VsupRd58882qGEo5ZrBYLKKjo6NmLjeroSAzgJW5oADju9DUViGxUlIHwmqtRBs5aLVebJre FmSxzXilKS2MnPsIGNshpD6QVza/yzueRN3kcjllQhVCT29y1bMWqre3e71e9PT0VBxbZDXCzSyv5tVt QhaTi4uLSr0tLi5WfFaeDObn5xGNRjUTURqhnltLWF78fj/6+/sNnU8YCASqzgwcHR1FIpEwHGui1SdE v+vu7sbMzAzm5+fR29tb16pS79rq72tZkeqNWbIQzefziMViynl/4r2IyWx6elrJ6q4X06N2uwurhtbk OjU1hWQyidu3byOVSuGll17Cli1bDLnr9Z5LL6ZQLOBisRju3LmjiE+gUhDJ96yVKiWZTCKTySAajSqL p97e3poLQ7Xg93g8VWJA3QaFBV7efTswMIBr164hnU7D6XRi06ZNFbtZP/ShD2FmZkaJIZNdkbLVdsOG Dbh9+zaKxSLm5+cbPrBdCy0hXQshqv1+P/r6+nDr1i04nU5MTk5i+/btmps3wuEwxsfHkUgkquLSRGoR ddyfHDMoLNaij9tNjAEUZIYQHaTe6tAsagUwywif/GuvvQav19tQYtV61hyZWgJR/bdEIlG1g22l6A30 tZ4zHo9X5axSl3V4eBgAFPO7XNdyXhsxIXq9Xjz66KM1yyHXs5bo3bp1a1N5zMy01qrdM4C2aV8Wk16v t2LQkz8r2lYikUAgEMADDzxQEZvTyHNpiVzRvvx+f4WLZ+/evYaEjzomTV6kGM2dVKtPiDKrk30aRX1t 9SJLy4pUbxEnnmFgYAA3btxQLBoiR5O4hshtJiZtOaZHttrpud21yuZyuXDr1i2k02mUy2WlzejFGhl5 rlpjQigUgs/nw+LiInw+H7q7u7F9+/a6B2aL9iXGDVlYeTwehMNhJBIJTExMoL+/v2KzhiirKIta8Ne7 tziQW959293dDY/Hg97eXjgcDnz0ox+tEuN68WBGrElmop5LZFG9fft2FIvFmh4PYY1Pp9NYWFioCu2o 9f6FAHe5XBgZGcGGDRss8XQZgYLMAEbjlsxCq7Fp7dwRvvzu7m7NremN3AOo7DTiPEOgtkCU/6bO7N3K HWxaA70eRlfV4p1qnTOn1dmvX7/eUDlqreJX+iytRJ6Ie3t7dU37YgEgDucVk4M6HYj43JkzZ9DR0YHp 6WklNqeZ55JFtvydgYGBChePLFz0xJ5W7KDaKqJepDRioZHL3OwkYHRBZvQ76mcYGhrSDAEQglscnRUK hfDwww8r/Vh24+dyOQBAJpNBd3e3pnteIESvLAZSqRR6e3vrPpvec9XbpawOXxgYGFCs3wAqxj31GChi ch944AFkMhk4nU7FWnjvvfcimUxi06ZNFbGUAJR/C6GvtwlFXdZAIIC3334bCwsLuH37Nrq6upQxye12 Y2hoSBHmRsYOuW62bt2qaU2SP5NMJpU+3WzAv/r+cnsTOemEqPb5fPD7/TU9HuLZ3W63odAO2QInW8q1 FoJ2goLMAMLsXS9uCTDPeiF3PL3AZnWMTr2Vj1ZSPzHRqd1VesG36sFFvRKrd2SIkXKt9LONrqq1BrlG Bz4t0dyIZU8Po5aPlbQ/dZJROamq+nnlw3mFm04rHUixWKyZ/V5+rnqJSuUjf+TvvPXWW4jH41UJVmuJ Pdn6rY4d1HpfWlZOcR21ha1VY0Ez7abWd9SJSOUJUR0zpz46SzyrvDsxlUrhzp07Sgzali1bkEwmdXeq BoNBdHZ2KhaawcFB7N69W3MTjdbzqi3uRsS8HL4gB+6LUAUR2yf+LYSDiMlNpVKYnJxUYhHf//73KzFY Xq8X77zzDuLxuPJdr9eLoaEhzM3NVcSZ6W1CEYjnTiaTmJubQ7FYxOLiIiYmJrB58+aGhblW3SSTSQQC AXR2dmLz5s0Vm20ymQzm5ubgcDjgcDjwxBNPVGwMaMaSr97JClS6hf1+f4WVWy1W5bQuHR0d6OnpqQrt 0Ao/Ee+ilqXcythwLSjIDGIkbsmswHitQHCtwOZGYnT0yqrnrpItZED1gb/qnYniWrWODGmkXCv5rNpq J084jVinGim33sC70vs1Yvlo1npmNMloI0f+1LPyiL/XSlQqxzSJeDWPx6O8146ODmzatKkqwWotESvu qxU7qPW+1M/hcrkMH2AuApJFsHMj6RO02k298UPvO+pEpGJCTKfTmJycrIqZ01oIiklvbm4Oi4uLKJfL cLvdSKfTuHbtGm7evFlzp6rH40FfXx9isRh+6Zd+qSo9g5E6lQWikfhX8SyyqA6HwwCWBZv4t0jfkE6n lZhcgdfrVTauiIleuADFuOLxeLC0tKRsDpHd3rVyq8nPd/PmTUWs3L59GxcvXsSmTZt04w/12oK6biYm JvDTn/4U5XIZpdJyrrilpSXMz89j27ZtiMfjWFpaQm9vLxYXF/Hzn/9cOXy8kVQw6t3XoizivQmLn6Qa VTEAACAASURBVJ44FvcA3p1jAGDDhg04ePBg1b3l55TfqbAkalnK5WtbERuuBQWZQYysUuXVdr1YM6OT p9bn1JOCCGzOZrMYGBiouVVYXVb1wCB+r96JcvHixZrPq2VdEHVm5BDjeuVS14lYeQnLXTqd1q1vuRxm JQRUW3jefPNNJJNJdHZ2Gt5R2EwMVa3B16hFUo1wVakDZNVl1TvyR70Tql655b/Lwc/qZ5BdqcCycHz4 4YeV/E1i5546waoIOdA6F0/dNuptFFE/R71+JH4fiUQwNTWFRCKB2dlZ9Pb2Yn5+vipxphZa7aJZ8S3K 1dbWhkwmg3Q6jbNnzypiSrj0tMYv9TMNDg5ifHwcLpcL+XwebvfydNLZ2YlyuayZ5kJ8V7jeLl++jGKx WPGMekJfr66NunTVO1WFBaqtrQ2x2HJsVzqdxtjYmBJgPjo6inPnziGdTiObzSKdTmNpaQl37tzBhQsX lPH46tWrSkoNYVkbGhpSctqpx2qtssrPJzZkxeNxAMCmTZuQzWYxPT1dYTmWQ1WEqJFzi8kLnUKhgPn5 eZTLZfj9fty5cwfxeBylUglLS0tKSI7Iel8ulzExMYFr164hEAhU5HGMRCIVSWjVglodU/jggw+is7Oz wnoMLKe90BNSkUgEi4uLFZ4a0QfVyG1A7EJV13E912mz42UroSBrgHrWDTHwG4k1Mzp5ypOQGJy0AsEb PepFbxBTN2zR+dWTrDAjZzIZ3L59W7HQaYkPI4cY1yuXQO5UmUxGEaIAcP78eQDamwfEgK4VpN0K1Bae dDqNW7duoaOjAy6Xq+5OpmZiqPTK0IhFUu/6RhcfmzdvRjqdVixSYvOEcH+praa16jsQqAx+1opPlGOa vF4v/H4/isVi3YOCa52LJ8qlFTtYDyP9yOl0KhM5AMW1Vy9xJqCfNLgZ8S332UKhgK6uLuV4oMHBQeRy OSSTSYTDYTidTmX8At5NYyBP7gDg8/kUa4rX61XSZzidy3mzhDtUnQxV1I3IGSVb3kRqCLXQ16trub3q xWep+5dI0NvR0aH87Pf78d///d9KQL1IkyHcjT6fD4FAAAsLCxULLTEey8JIxKnJsWP1xmr5+drb27F/ /37Mzs5ienq6wmMhLMcAcPLkSSwsLCCZTCq5FuXcYoHAu/GbbrdbcS2LFBoejwfJZBIdHR3weDzo7OxE T08Pbt68qYyxhUJBOU5KWKPPnz+vLLTVSWjFOCun8lG7o9WWVrWQEvHHwtKYz+fR3d1d5akRqNtAIpEA 8K6bfWpqqq7rtNnxspVQkOnQbByT0Vgzo5On3qHB6smtUVeY3qSr9Xt5kpXdcWKQ6OrqgsPhULYj6636 jEwc9cSAfL3FxUVF8ADLKSsuXLigK/xaJViAd9+57PqULTxi1d3X16fkLqpFI/Wk1zaNCCmjiGfS2p0K VLdLv9+vPIeIq9Gymhq5r94zBAKVMU1abhSt7fKRSATRaBQej6em5VqvD9Vzc9TqR5FIBOl0GhMTE0in 07hx4wZcLpcSo1MrcaaWpcGoVUi2Bsm5v4R1TIhbtTtJIISi+ogeIWTcbreSFV4IuqGhIeX7k5OTirBT WyLkw5/ffvttFItFZdEpEi1v3boVc3NzFQl967WNZDKJV155BaVSCV1dXRWHgqv7VyKRqIhp7OzsVJKU igPUy+WyYjUUVptQKIQbN25UJSAVbcfv92N6ehput7sqB6JaKMZiy7FisliT6+WBBx7AAw88oMT0ApWW 41QqpaSLyGQyKBaL8Pv9VUm31fGbH/7wh1EqlTAwMIDFxUX8+Mc/hsPhQD6fR3t7O8rlMjZv3ox4PI7F xUW4XC643W5lh2IqlVIS2WoloRVtSy+Vj/pdiN3tAJQFlnADi3Q62WwW+/fvx9WrV6v6idwG1P1THiNk N7s4taFV42WroCDTYCVxTKOjo3V3jAiMpINo9NDgRtCbgNS/F5OsOg6ira0NTqcTfX198Pv9mrvxmhFB tcSl2oInDm8W5+XVSxbbig4o3vnMzAxOnz5d4aIVFp5sNguXy4W2tjZDSXC16kktBMQEq7Y2yAN6o8Lc yHNq9QO9dhkMBuFwOHRjsowgT1jyz+Lf4mcRC2QkRKBcLisJPe/cuaOcuVfPtS/HVBYKBQwPD2umLtG7 xtWrV5Xs6EKE+f1+PPLII8rko3ZFyu5QYWnIZDJwu90VAkAvHEAu861btxAIBOBwOCqSYgpXr9y2xCQo 4qbkI4b0hMzw8HCFy1jsupQt0QA0XcapVAqJRAKZTEYR96VSCX6/HxMTEwCWz2aUd8bVEs0vv/wyIpEI XC4X5ufn8cYbb2DXrl1VAlaMFeoEvalUCsByDJNYVACVVhSfz6c7HotNLtlsVnG/eTwedHd3awb2Cxdk MBisEJCBQOUZn3qW41QqhXK5DJfLhY6ODnR2dqKrq0s5F1KgHlvk+pyamkIoFFKeR3YtqgWu+F44HEY6 nUaxWESxWFQS7crl1RpnRdsWrnKxGNGyoALLO3aXlpbQ0dGB7u5uQ3OfWuypY/aEm12cSiHuZRcoyDRo xFohPismhUQiUXPSl33+8s4eQN83Xi+eZyXUSgcgfi8mWdGh5Zg1kem5q6vLUF6fepNfvc+prwdAsUJM Tk5W7BQLh8MViS7Fd7SsKI0gv3PZ3aTOZ9Vo0LZe2pFMJqMcnCuChEVG+XqZwmtRr761+oH4vcgYrm6X gUAAW7duxb333msoJkuvXGohKO4rl9VoiEAoFMKGDRtw69YtOBwOnD9/XrFu9Pf3V1hStOpAPv0in88r lpx6/VHUn8iOXigU4PP5lEWEKJtoO+qjpUZHR+H1etHV1YV0Oq15cLJWOIC4L7AsekSOL7kPq+tJlOHq 1avo6uqC2+3G6Ogo+vv7KzbmyDFQYuwS7UO0FXFigxBgwnoqSCaTOHv2LKanp5HJZJDJZNDb24vOzk5F pC0tLSlWWCN5H8Wi0eVyKX1mYmICkUgE+/btQ3d3d8XGBSGYhKsyFns3RUIkElEy8U9OTlbs0pPr3Ol0 VmwQEnUg3GrZbFZ5vlAoVCUSgOXYVzGGCHEt2hxQuatYK6B/YGBA8cg8+OCDivVSbie1xmD1/CK3i0Ag gE984hNV3ysWixgcHEQ+n0cymcTu3bur0mOohbN6s1hvb6+SmqlYLFbE34oxTbbkGp371OJTHbOnPs5r JeOnGVCQaaB+qXJAqjzxCrGiNSloTfqiUYr0FPfee68SH6Dn1mmlG0qUoZb7RTyfVtbxHTt2VMRBRCIR ZZWUz+cRiUSqTPDiGbQsAFod1sgmBy33EABs375dmdTefPNNxTrQ3t4Oj8ezojMU5funUikUCoUKsdGK HY5yPY2NjSGRSKC7u1vZVdjZ2alYSwBU7eBqxApVq7zq4Ge5H9TKGC/wer1K7Fgz7VYtBNVuM9kiafQY rYcfflgJ4L5586ZyrJKR3aHq0y9yuZxmLJo8eYoJ2Ol8Nzt6OBxGPp9XMrB7PB709/dj7969umlrhBvc 4/FUbXTQWziK+6bT6Qq3mjopplZaFhFvJMTfvn37KmJzREyU+hQD9bm5Ho9HGReuXbuGUqmkuP3EmCes Mvl8HoVCQTnmSvRVYTEzgrAyxWIxJUdYLpdDOp3Gyy+/jM7OzoqNC7L1TrbOfPSjH8W1a9dw/fp1bN68 uSqfHQDdDULy+y6VSkosHbB8oPXc3JwSWzYzM4NEIqFYbcvlMu7cuaO089nZWVy+fFk5u1Jr8SBc+OLd CFep1oaYWt6Qeptt1L8TIglYdjFu3ry57vuRxaqwdAl3p9p6Kd4PUGnJNTKGyM8jt1e1oFbfq9Hx0ywo yDRQv1S1OVUdt2I0bkxeMc/Pzyv5Xup9byVuqFoCTG+XiVihiY0EkUgE2Wy2SgTFYjF0dHQo8ULnzp1T kiRq7Rwzkg+qVueoJ3pEmcSkKawDhUJBSXC6ko4n3x8Aent7lTLI7rOZmZkKd4n6PdS7t7yDUbQRr9er mPo3btyorC7Hx8cbcgcL9OpbywUvBjP1d7SO5ZJptN3KQlB2cQHQbRtGj9GSPyesKMLqqBe/Jd6XnFRU pNdQT3rqlBxi8pRz8on8T9PT0wCgTN610tbouauA+kHuExMTynuUXU7i+bT6UrFYhNvtViyCIkA8GAxW jR3yZCbHhYn8g2JcWFpaQjKZBICKjRiyNbuvr09p0yJ2qFQqob+/v2ZCafk97d27F9euXYPT6VTygomY KHnjgnxO6e3bt6sO+961axfi8bhum5LHGbXrWtRBf38/fvazn8HtdiOVSiltenR0FIODg+ju7sYbb7yB RCIBt9uNUqmk/BcMLu80fe2115RydnV1ac4R4t/1TtaoNf402k9l4a62xukh2qo4eur27dvKZiet+VY8 dzqdVr6vfu/y4kd971QqVWFtlucKrXsxqN/miEaqTgSplUfG6KQgr6AGBgYwNDSkuNnMaBDqQVedyRzQ ju2QA7ZLpZKy/VqOl5KfR8TH+Hw+JBIJ3Z1jtUSXkVizWiJCtliqrQPi+UUwp96Ox0ZdeAAqyl8oFHD5 8mVkMhnEYjHcvn0bjz32GIDG8t2IwX54eBgzMzNwOpcTTYqdVMLypD4YuZFBVc8KrN6JpBZdZu1KUu+8 yufzyt/8fr/mfbVcxOr3IlAP+vIuLHUbAqrfl0gqmslkcOHCBcXaIayjV65cweLiYoW7SkzSgUBAcZ8X CgXlP5HvqV7aGj0rhvi9XlqZ6elpJaZo7969NftiJBKpEMOyRVDUqRyaIc5TlN+JGDOF61OMC5s3b4bP 56tIA9HR0QFgefer3+9XBFFHR0dVMlq9dl0rGegHP/hBxX3ndDqRz+eVcW7fvn2KhW92drZKxKjbilab Ev1HPaaIOggGg5idncXCwoJiHZSTdQcCAezatUsRhF6vF+9973tx9uxZxZIaDAbR0dGh5AbTWzyId6l3 aHatRZaRMUNrXKyV6FnPiyFveurs7KyIwZNFofC+XLp0Cf/zP/9TscAR19da/MgLSrW1Wc9a2Gh2ArOh IKtDPZ+0ugM3Ev8UCASwfft20xqEPOhqZTJXx3YI5IBtMSmr46Xk55G3e9faOVZLdNWrQ9lVKH9fa6Uv ynTp0iWl7HrxFfL15cF9aGgIPp+vYkJQl1/egh0IBDA0NITp6WnFRao+nNzoWaiycJcPo3a5XMqAXSqV MDk5ife+9726xwPp5a8Sv9OyAsvb0Jt5R8K62ihyW9VK7Ki181crEa+wusi5mNR0d3dX5U06efKkMjGO jIxUCf9gMFix6hbWDuBd64R41yK+TohcUb/ChTIwMKCkG9i+fbtiMak1DtSyYshxZKKtCGEtW35k1G4i deya6CtyP85kMnjnnXfgdDqrYqvU7U2d202k0JHFQywWU8YKLWFXDzlf2czMDPL5PLZs2YJsNouOjo6K zPxnz55V6kAEiMuuMa3DvsW7lduYLORrWYkCgYBisZuenkYikagQbqKuRB2KRYJw34p79vX1obOzEzt3 7qw69kcrtEDrnEzZ45FMJqvipsRntN6jug7EYlJvLK+V1DcWiynzZ62YaGGBFCEGABRPjVg8yPkItXLV qa3N6rAj+V52EGICCrIaqFfgcvyU1grAqI+72Qah3speT8SpB111JnMxKImJTzRqsUoGgK6uLgDLKSX0 zPeBwLs5nDKZDBKJhOZxO7Um9FrWKXnCFAfECqEk0nGo87TJZRITa72je4SQCIfDuHHjhhLjI+9+kssv J8uNx+OYmJjA4uKi4o6Rz+Zr5CxUvXoSyRSz2Szm5uYwPz+PX/ziF3jiiSfQ3d1dJSgnJyd1s17LOcLU 1hKxc07PvSHqS/5ZvKPFxUXEYjE8+OCDhs/BU4ttvcSOMqLMQuReu3atIvhezsUk7qFnpYxEIpienkZb Wxvm5+cxNDRUMdlkMhm89tprSp4usepOJBJKPJSwTmzatAkbNmyo2DkmDtEWQq1QKODOnTsolUp46623 sHnzZgwODmq2h0astnKQci1hLd6b2sUo3r8sZsT3xMYZ4N2UGOoM6Or61YsjlOvW7/fj0UcfbXhRKrv1 o9Gokn5FHPQtCztxSLw8zsljo95h3+q6ffnllxGPxxWrzNDQkBKvlkwmK477EjsuRXiDGLvOnDmDBx54 AJcvX1YEr0glksvllPFdJKF99NFHNceKRqxemUwGkUhE2dyxadOmCsuoHJ+pDsnRC2vRG6O0vBhAtbCt N38Fg5U5B10ul3LChBC2uVxOCedQu/Fla3OjpwxYCQWZDmoR8PDDDzfsomkkbsjIteQ4ASMZvrV88+pM 5mq31djYWIUVQOxQevXVV+veCwAuXbqEUmn5bEOxYtQKHtZ7Ni3rhjxhikOMxTXkwUbEJMj3M+puE25a sUPM7/drBn3rCWixogsEAkps0sMPP6x8tlacoZZlS7hs5HLGYjFlEAeWXSy5XA7T09PYtGmTIlDGx8ex sLCAbDZbYbIHUCE6FxYW0NPTg71791a4X/x+v66YCofDmrmeIpEIwuEwlpaWkMvl8Morr+ATn/hE3Xav jssbHh5GKBSqOOAYqF6lCxexELkulwvpdBqpVAper7cqF5PWRCH+Jo7IEfnBfD5fRb8RucBEEHI0GoXX 61WswrLLS8QNyqEOqVQKc3NzyiT7vve9T8lxJXKNqcWj2nKpN5GoF13C6jM3N6eIw3qpPbRcwrL7UbiA 5OSj6sOd9epXawGqXtToifxaiL4wPDysbNLYvHlz1bFZ6jrS82oAqLKgqOtWJPIFloP0L126pGS0B5bd r2+//TZ27twJn8+n1IeIhxM7LiORCDweDzo6OtDV1YVXX30VyWSyYpNDuVxW4u7kZwmHw5ienobT6TQU zymEoegjwWDljvl0Ol0RxqIOyQGq5wi5nmq1R1HX6sVTIpHAyMhIzfcrWxg7Ozvh8/mUuESRE02gdu+P jo5WHI6uDjsSlja7uCllKMh0ECJAmJKXlpbQ1dWFoaEhTExMKK4wrS3zWlvYtQbTRgSbaNRtbW2GMnwL 5E4jW/bENWV3WK0DynO5nO4uSvEs6gPJtVZHahO26CS1rBsA4HA4Kv4v7vn6668rlr7e3l4kEgndMyRr uduEmxaAEsMBoML1ZHRF53K50NfXVxGMrBdnqLXSFSkB1PERYrAT+azEYmFgYADd3d1KPF+pVFJSCMzM zKCtrU1xlczOziKbzSKbzcLj8SjulNHRUbz88ssol8s4e/asbruWcz2JwQ2AkgtOWCqMtE3RBuXBsrOz U3GruN1uzMzMVMU+CiuoLHLFjjX17lf5/ei5WCYnJ+F0OrG0tKQEkYs2MzY2hlwupyxQenp6FFelsCoB UOKjRJsXgnFychJLS0vo7u5GLpeD0+lU3m2hUKiI0xL9QiwERbsGllNFTExMYPfu3RX1p7Xoks8Djcfj VUHxeik2tNyPwvUpXEAiHYE62adeTJUW6om8mR3KsiWkp6cHADSPzRJoHUhezy2nrtuzZ88q7dXj8cDl clUcyi48BHfu3EF/f7+S2d7r9SKVSimpPIRLUiRzFXFmS0tLijgulUpVdRgOh/Gf//mfFedQAqgI39Cy WLndbnR0dCj3Gx0dVRJqnz17tuJUBHVITigUqkh2K8YIdeJd8R61PEpAfQ+B1qJUjOPxeFzZxSv6tt4i Q/6eMArUcs/bzVpGQVYDh8OhCJK2tjZMT08jGo0qAxOAqnggI0GF8ueMDkLyAORwOJQdhOqYhHoxbPKq V753Ld/7yZMncf369QqRIFvn1Na7fD4Ph8OhJHzUEmlyzM7evXs1A4nFc4RCIfT39yufFwNuJBLBwsKC snVcvCs9S4jWRCDqTK7f/v5+bN++XfPYF733FAgEagYjGzXxyykBgMr4CPkasmtYWLPEzrrXXntNEWal UkmJcdm2bRs2bdqEdDqN6elpRTwBy8ex3L59W6l7rTi3WOzdXE9iUkin08q7F2IRQJUgqteuxUQuguZF dvqurq6q2EdxXVnkih2o4kgbOcN7vfp3u90IhUKYnZ2tcB3+f/beLEbO674T/dXy1b4v3dXV1fuiJtmm yBZp0pRE0qIYxZLHicYGxoM7cyfj+BoYBIPkIRjkKUHyNMAE8+SXMTIzDgLEwthwtpElmtZCcbiK7GZT zWYv7KWqu/ala9+X+1D8//vU11VNxojsXFwdgCDZS9VX5zvfOf/lt1BbjPz27HY7Ll26BJ/Px8B1OriU SiV7QlKAQxZAwL5dkl6vh16vx/j4OAtUii0XsRpcLBZZNR4Arl+/DpPJBL1e3xMuYTabD/UD7bU/ZbNZ GI3Gjp8RMYW9CAfi/P5jmHci3vCw6uVhvzs3N4dIJIJCoYD+/v4D8yL/LHSQy792mKehOLdnz57l6rBW qwUAtiBqNptcfabgXpRsoCSjWq0in89Dq9VyUJXJZDhQo70tFAodYJiGQiEuBIjEsGdhvUjLjkzgl5aW WC5DJA+53e4DFmQAuLMSCARY8kW+Rxx2nlmth8vTHHYeiRXACxcuPLNT020tiexXkQH8PHjeX/X4IiDr MSgIIEwQbco6nQ6NRoNZfISroNErsJEfTr02oV6BlfwwJtDt7du3u+KFDss+ur13t9474T/osFUq2+rW 8uocvV5fXx9qtRoHTlevXoXZbMbe3h57kalUKjx48IAZT3t7e8hmszh//jxvdt3A5LSByOdFpVLBZDKh UqnwNYsHZa+goFtlioYkSQyglZe7DzsserUzD/u+vHLj9XoRCAQ6/Brlc3HY+7vdbgwMDDAhQ9QlAsDt TqPRCIvFApPJBIvFglu3brG+GbX/5PNVKBSg1Wr5MBkYGODWTF9fH4rFIqLRKJRKJVKpFMs8iK8hv4d0 kFPmfefOnQ4fPLVaDbPZ3IF9FH+Xnol4PI5bt24B6KyiHjb/9Jmy2SwH0vPz83C73dDr9SgUCnxgJRIJ liwQ35sqTSsrKx0BDh2elLip1Wpks1nY7XbodDpMTU0xoUdk8tH1U7WP2qT0940bN+B0OnsmB1br4X6g 3fYnar/S/iEPUA7DFIrjMOadfC3RsxeNRjE7O9sTTtCtciIKJpMsTLPZxCuvvHLgd8WqfSwWw+rqKktI EO4UeD72MFkT0WE+MzODF198kQ3JRbFsakmL1da33nqLNeWIZTgyMgK/349SqcRs0JMnT6JcLh9gxlos Fk48FAoF+vv7uU1JiYM84KF1+uDBA65ih0IhBINBDA4OQqlUcjs6Go3i6tWrXTG61WqVYQUAWDIkk8l0 PVPkbUExeSKpk26/G4vF8ODBAxiNxgMELgown6dwQdUw8X1o/dDz2mw2sbi4+MyW/q9yfBGQ9RhixePe vXvI5XIcbIgq5fLRK7B5nl57LyNh8ZqojUJZ2tbWFiKRCOr1OmZmZrpmH3IsXC/MiJgZEUiVNiCqthCY shuQMp1umwWTCWw8HmfPt3K5jJdeegnz8/NIpVIolUqQJInxF2azGQaDAeVyGbVaDevr6wdYjsB+6yaZ TMJgMMDlcnHWODU1BaCzPQEcxIYAnQwtOkDlwF8ADDZ/nlbMLzO6VW6el/bfbVBGTBgvYB/YPTg4yEG2 KP0gGg1TW5wCCaDzAJUkCa+88grfm1wuxzYojUaDKwfUmqMA5rC1HYlEkEwmodVqUavV4HA42AePANDZ bLZrO4qeCZvNhvX1dfb2297ePqC7JWb9YsuObInsdjvy+TwHPWJ1qNd7U9ArT8DkgbXL5YLb7caJEycO rEV5YuByuRAOh1kcFQDDCui5Oyzg6VUNpPVB+5Pb7YbX64XRaMTm5iZ/Vrp/4rp5njXYqy0sriOxDWqz 2RCJRLqyaOXrrlvlJB6Po1qtwmAwIJ/PY2FhAaFQCBcuXGDbH9IjFKuVjUaDsV/NZhPHjx9/Lpa8HLe4 vb3NiSLtk36/n9fRysoKXw+tUwqWKbmnPWthYQH9/f0ol8uYn59HPp8/UGXU6/UYHh7ugAUQi5cIDvIq Mq0Ht9vNexclLLROqKJqsVg6/Genp6extrbG70HJOLCPuSUppOdpCz5LUDcWiyEUCjHL2uVy4dSpU8+U PhHv22HvQ98fHR1FIBCAVqv9Z1cl+1wDsvfffx+///u/j0ajge9+97v4oz/6o47vf/LJJ/iDP/gDPHz4 EO+88w6+9a1vfZ6X80uNeDyORCLBYEvafMkEV77xH7YZikP+cwB6GgmLQ2QXRSIR3pDIKqivr6/jYQwG g3xIERaOpBToQKbXFYMxwiooFApcvnwZzWYTs7OzsFgsHb8n/ywieYACVvIioyqjx+NBOp2GRqOB3W7n IIHmdmVlBeFw+ICSebnctmMplUocHPp8Pn5ogc5WqMViwe3bt/n/olaNfAOTYydEVfpisYhSqQSTyfRc IojPO3qRDwD8o9Spe90LESsor0qJWAvCMlEgJ2+VyLNft9uNkZERfg0CIM/MzGB+fh6FQgFGo5EB+QRc l69tACxPQoG4VqtlRXlaS6LMRLfngYLXqakpNBqNA1WCbi24fD6PVCqFyclJtiYiGxsx6HlWdYiqidVq tSMBA9pEDlE+ZWFh4cB9prkVAc9TU1PI5/N8QNP7GgwGRKPRZ1Zy6B7T64vvZbN1SlLs7e0hFApxpUmh UODcuXO/lL7dYXtft3tACVwvgPhhlfx0Os0BPGGw7HY7ms22Ifqnn37KWEdJkmAymdjtYHd3F0ajkavA 8/PzeOutt55pqSZvvWWzWayursLr9UKpbCvyE+iccKTydUitVhFjNTU1xWB6qorSsyhWmmw2G8xmM/8c BT3kPkCVXAK8i4loL9gH0GbSE/6UkodkMol3332XK1okhkwBZDQa7WiJP09bUExgurUUV1dXkc1mkUwm 0Wq1kEgkOtYy0E4Y6HMBvbF/3d5HfI4aDT0WFycwPz8MjcaAZ3AMfmXjh0THwgAAIABJREFUcwvIGo0G fu/3fg9Xr16Fz+fD6dOn8Y1vfKODHTE8PIwf/vCH+PM///PP6zJ+6UEbSCqV4o261Woxi8vhcLC1hjxw elbrqtvPETWbWjVyFhMNse+/vb3NQRZlTN0OLTJWbrVaMBqNaDabyGazTHcmo2XKaHQ6HQs2Egunr68P R48e7TjI5ZkHvS+RB44fP447d+6whYgogNnf3w+v14uJiQn+PRGUrlQqmQa+sbHBgrMicFyhUKBSqfC8 BAIBbG9vA2ivP4VC0SFnQBuDOIe0gcm1oMSDcmNjg7NKSZJ4k+ymt9Wr5Sz/urxiJCdX/LIUbWJhibIj 3X5fftj1Yi0BvSsfNAf5fB6VSgV+vx+XL1/GvXv3cPHiRcZara6uotVqdZhkl0olLC4ucrvEbDZzdUze Lu6lpSUXiHS5XIyvkV8n3cudnR3WyqtUKnjy5AmGh4fxta99jatwovsBHVwU2IjzQvew1Wp1sIOfFx9K LdNSqYRAIACFQoHFxUUAbfaw3+/HwMAAjh07hvn5eW4pExP1sHVxmGjq3NwcM//o/mu1WjidTt4reu1h z8Kq9vo9+XqjQPfx48ddg2xK7g6r5AcCAUQiEQBthmM+n4fD4QCADqwj0F7ToVAI6XSaYSdAO1mUY1YP +5zUestms0yciEQiHc9vNpvF4uIit4MJcH8YxoqYgbT+UqlUV304qv4D+6QSch+gSq7FYsG1a9eQy+VQ Lpfx8ssvY2Zm5gDsQ85wnpmZYaFyar2KQsGZTAZGoxEej4fn5x/bFuy1l1D18PHjxzyPxAIVAzBqodbr dbjd7gP4ZJpTqmYSNEajseHqVeCjj8r48EMP5uf/H9RqapjNFVSrzzYt/1WNzy0gu3v3LiYnJzE+Pg4A +Pa3v42/+7u/69j4R0dHAYCzi39OgzYQj8fDlHWlUgm1Wg1Jkhh/UCqVsLKygkAgAKfT+Uv3o0l7hqwk 5ubmEAwGudcvLjSqdun1eiiVSuTzeWaTyA8ti8UCq9XKVGrRX40CilQqBZ1Oh9HRUcRiMcTjcVQqFcTj cRgMBni9Xjx58gQA8PDhQ+zs7KC/v7/rRgZ0kgcIZA2AAaNidi5WnOh7t2/f5qoHzTsdICRNQAGyVqvl Fu729jYfWkB7w9JqtYx529nZ4Tmhtg1hquQbCrUqE4kEVCoVNBoNKpUKSqUSb5LRaJR/j17jMG9Q2khI 60cErpN+FGW73TaZXoM2x1KphKtXr3LA+vbbb/eUr5C3GIDe7dFelQ/a9EqlEh9+er0ePp+vIzApl8tI pVIwm80dJtliq4/a3MTek2uTdWOSUUBIbZRGo3HA+07EiVFbjp4Rk8kEs9mMo0ePYmZmhoPZ6elpBogD vVnC8qofva54Xd0SNvlaqVar7AlIVYGBgQGWt8lmsx3tdaPR+Mw1Ibbk6TV9Ph9rldH6rdVqHGxGIpED 7a5e10xzIcqTHKY71229UXv9sPfoxtijvz/++GOGEej1eoyNjeHEiRN8b2kPJ5KOKMItMnm72QyJlXa5 f6S8zSeXcqCARNyLu1X7xH1DrOSfPXsWzWaTW4aErRIFXUXvUDGho9fP5XLY3d1FvV7Hu+++C5PJdEDr Tkwqi8UiDAYDB22lUgnvv/8+J/t6vR4KhYLbsN38THu1BaPRKG7fvo2hoSEMDg4eKjdy6dKlDuLE+vo6 VlZWWLC51WqxtA9pHhaLRZhMpgPrttFQYGWlDzdvTuE737EglwMUCi36+rI4dWoBL764id/7vRcxOzvT c93+qsfnFpAFg0EMDQ3x/30+H+7cufN5vd0/2aCSKEXo5XIZQ0NDyOVy7Dtms7V90yKRCK5fv47NzU0G tI6OjnaVDDhsZDIZXL9+HbFYDECbHbWwsIB4PH5A+sBqtWJ6eho3btx4GvlroNPp+I94aFG1Ra/XM/aH DhraSEulEh+kJChpNpvhcrkQi8Vw8uRJ+Hw+PHnyBCsrK7h+/ToLW/p8vkPbJqSoLJbubTbbgeycNif6 E4/HGSNGVG2qZo2MjHCLiEDla2trANrYCKKMUwVNNOR+/PgxHj9+DLvdjjNnznB1cG1tDcvLywdEBIH9 rJEqDdPT09jd3WX8Cx1m6XSaMXPyVgVtfCTrQfdODlwXs91ntaXEIOzu3btMm6dNmURLex2ScqzF0tIS Hjx40FPhXqx8iEHR3Nwc3nvvPTQaDZb8oEGHEImmWiwWGAwGBlhTVi/HWspxj2IbUH5Yi+KR1IqRB8jE /hUdJ5rNtrCpyWTC4OBgh6QABbNilU6+VqnK2q2iLVqPiUxocYgHdLVaRalU4uC/VqtxAnTv3j1+v0Qi AZ/P90wZFnlL3uVysQQDtcSo+k2tPAos5Bpe4qAgj+AHDx8+xIMHD54rAeiF7RHdLuTzQlVRUXxWtImi vaxcbvvsut1ufq9eOEzxb1H8VvzMBPOQJAl7e3sHMEZUzQkEAlwFunfvHr8XrY1eQrTy53p9fZ2Dl1Qq hWw2C5vNhsHBQSwvL7PtFn1empdeuDuqWFUqFT7D7t+/fwBqQYbklMRSJYvmmxjO9AwUi0VotVqWZCHD 9l5tQZJsKRaL+Oyzz7C2tsZnGUEe5AG+z+fDb/3Wb/F+euvWLb4Po6OjUCgU3Fol6EOtVkOppMajR0rs 7gJ37wKffKLF4uJvoVpVQ6er4dKlBP7FvyiiXP4IpVKEq47F4ljX9frrGooW1XT/icdPfvITvP/++/iL v/gLAMBf/dVf4c6dO/j+979/4Gd/53d+B1//+td7Ysh+8IMf4Ac/+AGAdpvgnXfe+TwumcGMarWaPdgo Iq9UKtjb24MkSXA6ndDpdNjd3YXf7+eMT6FQwGKxdFCRn2fEYjFsbGxwRqXT6bgKpFAooNFoMDw8zJvP +vo6M8AIgE2gZK1WC7/fj1arhVqtBqVSyVUqj8fT0cYRfTQ1Gg1cLhfMZjMikQhvsiMjI9DpdMjn8wiH wwiHwwDA1SnKSAlXRuDWcrmMzc1NFjc0m80YHBxkAgLhjNRqNW8AlCFWKhWsrq5yUGQ0GhlwDoCDLpfL Ba1Wy6+Zy+VQr9d5HpVKJSYmJtBsNpFIJFCpVHhOTCYTPB4PUqkU1Go1kskkZ4HyOdPpdPz56P2oTTU0 NNTx/rQOzGYzxsfHeS7k9wwA0+XpOmjOxXVHvy9W87LZLKuTZzIZbs9S5ZMYsd3Ux+UjnW4zokqlEur1 OgwGA6anpw9ULmhQwkLXarfb2Si40WhgcHAQarWamWziz3o8no61Jf+c4vOwtbXF93lsbIwrhpFIhOeE 2lO1Wo2DCvF16OcbjQaSySQUCgVarRZr1lWrVXg8HvT19WF7exuhUIjFdqnKJ/8M9DzQ10lTanh4uAO3 RfglmhNKRIhoIb4uBYf0HkqlEplMhg3lAbAB9cDAACqVyoHrkd/TSCTC+CKPx8PYTwK3E37KYDBw8kmv Jz6L9G+FQsEBGc03YftoPmjOeo1yuYxEItFRObdarRgYGOj4mc3NTQ4cqcNCLULxuoF2tZPIJpIk9ZyT 5x3lchmRSASRSISfT1p/8hEMBuH3+5kdaTabodfrD6xzup5MJsPteQpsFAoFtra2eO8gXUFKXmguKLAX 75P8M4prKp/P81y1Wi2YzWYYjcaO3xPPAKANxxgaGur4rHQ/yuUyCoUCJEnivYUqWNVqFRqNBlNTU7wW 6H4RNICCM5VKxe8hf57F8wmgc3EbyaQVyaQZRqMHSqUFmYwKfr8CyaQRqZQZ6bQNxeL+XEhSE5OTGQwM 7GJ0NISxsWVYLCpOxAqFAoC2lNXMzMw/CR74WeMP//APOWg/bHxuFbLBwUFuEQHtQKqbYN/zjO9973v4 3ve+BwA4deoULl68+E9xiQeG3+/H9vY2ZmZmkE6nMTU1BaPRyJUmqiCRLczu7i5+9KMfcUCmUqngcDjw 1a9+tWs1oRdGgbSHqMLhcDig1+s7KmT0mn6/nzWESqUSYydI/oFo91TmpkNWjlvohr958cUXOzAzYtvn o48+wksvvcTVEALjulwubG9vIxKJ8GFCVii04VClze12Y2Fhga9t9Kl/HNCufABtAdqLFy/ipZde4lYI mc3G43FEo1HGWRDb86233mLcwcbGBh4/fsybzuTkJLxeL27fvs2ZntVqhcvlwuzsLONBDAYDpqam2HNO 7vVGmZxCoeD3e/z4MY4cOcIWSoFAAB6PB9VqFXNzcx3t+dnZ2Q6F+8N8ALuBoYE2EJ3miIRsC4UCYz00 Gg1Onz4NrVb7zBYSvXYwGEQymWRRSpfLhSNHjnQAnLu1Ceke9vf3cyuf5mthYQEXL15EJpPB8PAwgH3G q1i1ENeZ+O9gMIhoNApJklCr1TA7O8v4xW64qF6OFYTxKhaLHVIDDocDDoej4/6Gw2HGJOp0OszMzDCW 7XlxgfJ7Ri3qU6dOwefz4eOPP+a9S5wbAAyCXltb66ioabVaKJVKrsQR1q6/v58PcY/H06HB1a3yQGuY cJh6vZ69bMfHxzlB8ng8mJ+f71hvarUahUIBLpcLLpcLu7u7GBoaQrVaRSwW4wTm4sWLPT056V5Qomkw GOBwOKDRaDr2893dXcRiMX5OyIOWSFUmk4nZppR4UPWIKq8Oh+O5khH5oHkzGAzcbegmgEpjeXkZyWSS 52pwcBCSJDGTVlzbwWAQiUQCJpMJtVqNCWKFQgE2m42TxVarBUmSEI/H8eqrr/KzJuLuelnnEb6Kns1c LodSqYRqtcpkhCNHjvAzZjKZWCuSYAdKpRInT57swDZTwLa9vQ2XywWNRoMTJ05ApVJhdXWV7+ns7Cxb uGk0GraXWl9f52CaKnZ9fX2YnJzsiZddWQH+9m8r+OEPG8hkDJAPrbYGhyMLqzWNI0ey8PnquHBhFC++ aMDsrBIajR2ZjBKrqyUsL9s5oXY6nTh9+jSazSYmJiae297tVzU+t4Ds9OnTWF9fx9bWFgYHB/HOO+/g r//6rz+vt/snGTbbvq2EnMVCWYeoJE/6SKFQCADgdrvx2muvdW2ZiDZEohk3YYp8Ph/y+TwUCgUuXbrE PwfgAIZMp9PBbrczLV6k5wP7lHU5tkBedqeyfrFYxPb2dgcWQO5RF4lEoFQqcfHiRczPz/MG8ujRow5L EbE1SZo3RBH3eDwd10abZre20MjICG/uuVyONWzowaYgksrndL1msxnxeBz5fB57e3tYXl5GIBDA2bNn MTo6iuXlZa7IkAyE3ARZPmfU/jEajQx6HhkZwdbWFrciKPgE9rW+RHwZyXrk83nO0HqZgotDbOGIdHBq bdC9J3bh8ePHnwuMLa7NTCbDWKZuOlDyNiFR1AnUrFQqDwDN5b8nF9gV/98NdC4ywiwWC7foqO1FwXm3 dgm9P+HUJElizSXC6Ij31+/3Q6/X4+jRowiHw9BoNIwnE3Ex8iFWxMT/EwZULpLaa06np6dRLBb5XtNh rdFocO7cOayuriIcDqPZbGJlZQUA+HmMRqNYWFjA8PAwYzS7Yf5EnapCodBBViIsjlKphN1u52CNCBAu l4v3GZpPqrq89NJLLFAs+qmKgSCxHjOZDLRaLcxmM3cSVlZW+DkhXB6RDAwGAxN6zGYzV7nJdkilUrEj Rblcxvb2NjKZDM/PP5YQI2+xj8oMx+VjcHAQXq+XBVcLhQIajQZKpRL76XYT4hUxfdSu1mq1kCQJANit AkAHML0bk1wMFkUgO0kcAWDyF5FHbt68ycm+y+XC0aNHEQgEYLFY0Gx2OmwQi1hM+ihYpWCMHFJECzd6 Lt1uN6ampnDnzh0sLi6iXtfgyhU93nsvCZutiFOnzqFebwIw4Uc/MiCTAf7+74GbNwGVSouzZxPw+a5j eLiKVisDm02NM2dewGefXUO5XGL3jNdffx16fRw2mw2lEvDkSfvstFgsSKVSDH9Qq9UYHh5+JqP21zU+ t4BMrVbj+9//Pt544w00Gg185zvfwbFjx/DHf/zHOHXqFL7xjW/g008/xdtvv429vT38wz/8A/7kT/4E jx49+rwu6ZnDarViZGQER44cYXwAgdf39vYO+OQB7Rve19d3QDgS2AdNEnbogw8+4FJ9IpHgbHV+fh7n z5/vCV6VX6PczoOCHjHI6HXAd9Nt8fv9jIsSDzdRWJGELScnJ3Hp0iXMz88z9ZuyMFHI1Go9qM7cC/fQ DV8hHloi0B1oGzjH4/EDbDqgrVNWKBSYvabRaBgUferUqQNinDabjbFj3cDJmUwG9+7dY79MylDFQcyn c+fOIRKJMCZLBLrSZl+pVDqCeqA7aJyGODdiC8nr9bKAqSRJKBaLOHXqVM9gTJ4YUKtHo9FArVZzZU9O me+G6RFBzdR6kAPN5b9HtH6iwm9sbPD3t7e3UavVMDQ0xOuEwMVy1unc3FxHcA7gAChbfH+LxYJqtYqZ mRm43e6uzwTNMf08Vd26aRTJ9cx6ebB2E0ntNjexWIwDx1qtBoPBwFgyage++OKLLBRL65BandT6AnDg MKXngaRFCFNGe5bRaEQikWBmM7lrkC5fs9lkFq1KpcLly5c5EOpVoRHvORlXUzCi0WhY2FSSJKyvr0Op VLIYKYAOXB4xTWOxGCKRCDO9qXp99epVNmm3WCzI5/NcNRfnQsSeHUa6kj9rolF4t/2Uktp0Oo3d3V3c vHmTnU0IRE/3Wi7ES+uAAvKtrS2oVCqkUinWTetGdnsWvg0AY3ypkjg7O4s7d+5gb28Pn376KZrNJt9H an8XCgVOdEX3F1F2hu4/zYPX64VCoeDEMJ1Ow2y2oF5Xd+zlFosVoZATf/M3F3D//ouoVrVd55/GzAzw X/4L8G/+DVCvl/E3f7PGga7RaEQwWEGlUmYHi729Pdy8eRMOhwP1eh21Wg3xeJw/Jz3TlPzF43EUCoWu 3aBf9/hcdcjefPNNvPnmmx1f+7M/+zP+9+nTpznr/+c04vE47t27x0rQAwMDrNwtryJQdUQUjqTsWq1W c9lYr9ej1WpxgEKWQoSj6mYOe9hGQP/vBl6lLFE+uolzAgfFT5PJJGNqCPhJ17q8vIyzZ8+yh5tOp8O5 c+e4JCxueHL/RjEIkm908kCNSuXk3UkaZDqdjnFr3QCtn3zyCVd8gH35C3HugIPgcLn/Gb1+PB5HPB7n zdFoNDJGrVwuH3gdkkyQa8lR9iq3hwJ6Wz3R9fbSFaO1SpVVakHJhzwx+OSTT3D+/PkDlT2RMi+viIkb LIGaI5FIT8FceZBNQqmiGThd297eHhQKBdbX15nlJyYL3QK7Z1UxaL6Xl5cZ5/Xaa68dqGbRoKCatOtE 3z2LxcItcZENRwlHNw/Ww0Dc4veo6kSBrV6vZ/IQDXqOUqkUrz1iS5dKpQN2VXIyg9lsRi6Xw8jICOvF 0TwSFqxWq6HRaCCXyzE0w+v1IhaLcZtKr9cfWlmQfy5KmkQfTNK7MxqN3O6j/YXakCQKPDQ0hPv37zMu tF6vd0ii9Pf3Q6PRsJ0dtQJXV1cxNjbGcyFCM0jXsFfXQL4PPUvChP79i1/8gi3jGo0GE2rECrpcp44q 80RgovW0sLCAVqvFwZBcrJpg33L4N5EJiNQD7GPvKDijwIawifR3q9WC1+tFq9VCNpuF3+9nAd992Zl9 IfRSCdjd9cHv/7/x4Yc1+P0SqlUJlYqEWm0GbncNZnMTtZqEXK6JdPolqFQNzM4+wokTi5iYKKHVkjA2 dgapVAwaTQ16fROXLp2Fz2fF/pbtw9tvv42lpSUkk0nUajXo9XrGetK+TIH4zs4OJ5tUOdVqtejr62Ms 3s2bN7k6SOv/l5EY+jzGF0r9wshkMvD7/djZ2eF+N91Yh8MBn8+HYrHYwUSSP8DE1qKFb7fbUavVGI9Q q9WQSCSYESSyI+XX8jxaRvJ2ymHSC3KaPmWwVIUiHMGVK1cYv3Ps2DGYTCa2+aCgxWq1wmg0dojidrs2 uWBstyCIrlPc7EWmGmXAdCj2MjgXmW/UBiB7oMOETkX/yHK53DEvmUymg72p0Wj4XlFlQnydw7Tkpqen OTgVD2mxLUFfkwfj5Jzg9Xo7Wp0E0lYqlT1Nwdtl/FJHhVesVooVDwreALAGXbeqZq+2nPh9+e/JRTUJ A9lqtdDf39+1QtctsCN2q1jF6Lb2+vv7sbq6CpVKhd3dXfz85z/vwI71OnDF60wmk7hy5QrMZjNKpRL2 9vaY2Tk6OtrTg7Xb5z/suaDPNzIy0qHFRLI1VJUkSAAA2O12zMzMHPBxpCCWkhmDwcB6bxaL5YBt0+3b txkEXi6Xn7LW9m2JxDaVOLpV2+fm5rCxscGK67FYDLVajX0XgXYLjSrqtVqtQ0RVFOINBoOcWNGhKSY4 VAkjwg+1vpvNJkafepmKiR3QxnrRmpVXNeneiPdK7ughT5hoP6HnirweSRT5sHUgBlB0T1dWVjjxpzax GNTbbDZ4vV4OYMV9TQz+ms0mJ9T0h75uszkQCtmxtOTG+roLJpMGOl0CY2N1DA1VsLoaQzptxOamHoHA HFIpMzIZHTIZLZRKQKls4WlxCgqFBdPTRYyO7sBkakCpLGN83IHtbRXKZRW02ib6+oyw2TYwMrIESWqL vrrdbphMJhw9CqytidqPaSgUnfNrNpsxPDyMfD6PXC4Hh8OB8+fP46OPPkKz2fbqJbY9tfyJ0ED72tTU FAt7i2uBZHq6JcO/jvFFQCaMdLptnmyz2RAOh7m6IkkSYrEYa2BZLJaOzUh8oMi0WafTcRlYkiQ0Gg3M zs5iaWkJjUaD/RK72QPRtRxWOTnsM8h/D0CHOCcFCwC4jSSKn5IMRq1W42Cl2WzbdFitVty4cYNlJTwe z6HX9axKR6/PR+QGoN12SafTrFT+85//nNlGZPYMdOLrzGYz5ubmuhoO08ZFwNdGo8F4GZVKhfHx8Q5J ApfLxS0dESNIWZo8WKAMX9TUoooFUdrpcxFrTRxyHaTZ2dmu+mLUQiTGmXhYyw8A2oTECm83bJQohwIc pMKLo5d3YSaTwd27d+H1evl74XAYOzs7qFar3OKge5NIJBCJRJjBJQ+Q5AdaL+C4fNBrqNVqVCoVVKvV A9dKAaioGSaKf4bDYfYlVCqVHYxqg8GA8+fP99Sz6oU9k39P/DzBYBA2mw0ajYbnin7e6/Xi5s2baDab /IyeOHGiZwtWrH52s3ETq+xUDf7kk0+QzWa5UuLxeDA7O9tRfe+WYFG1/dNPF/D4sQLLy3ZotQoolUas rZmh1b6An/wkAYOhCYNhBJOTHrjdOmxuPoTB0ITf34LBoIPNNohGw4rd3SwaDfD6IOYuza88qL1y5Qoz Iwl/RnNBATQ9w7TO5VVN+ejm6NFNcsRmszGLvFxuC7E+D1hcnmwA+y1bah/KoSyZTIaTFvm5Ic5JPB7H ysoKB5I+nw8PHjhw9eoRrK31o1DQPr2GNBQKJTKZUTSbnS1SpbKJ/v4s+vsLOH68DoVi+2lgV4fBUMPE RBlHj6YxO+vGlStXOHh+8cUXkU6nO4LsJ0/CKJeNqNe1HfuyaL32rMIEPSuTk5MYHBxEX18fw0wikQjb T4VCIa74kosIYRzpfioUClitVpaDOUxi6Fc5vgjIhGGz2ZhpRQ+0UqmEJElMG6ZNshcgeXp6mgkAlOGQ ACW1IlwuF9bW1tisthv79LCWx7M+g/h7ZAFULu+Lc6rVagZOP3nypEP8lKojVBoeHx9HOp1GNpuFTqfj w4No9IdpXdHoJvIptyqSfz7CU7RarQOladJra7Va+PDDD/Haa6/xptWt5SBvU1Em/7Of/QyxWIwB0yaT idsAIpbk3LlzXStyOp2OGaXdggUAHaV/oB0kkFvChx9+iEqlgkKh0OFDWigUOLsl8U7ROYEkUqgNQRuM SqVCPB7Hp59+2lGGpyCdMBaHaU3R56S102g0eiYDom0Qbaa7u7tYXV3lAJxAvtvb2x1yFy+//DLW1tZY 4JgqCmSvJQZOFAyK9/F5kpOJiQk8ePCAA0cKwMT11k0zjA62Bw8eYHd3F9VqlStjkiRBp9PB5XLxgSjq WdE979aW7zXo81AAkE6nGeawvLzM7yO/N0qlssNah+aInoNgMIjx8fGeSZ/4/iaTFUajDffv32fmrkKh QDKZxMLCAj9/tJfkcjloNDq4XEPY3i7jf/7PGv7X/9Lh3r2voVbrdax02ycu9fhZC5TKGVitPvh8aUxN JWG1OrG8nMPMDGC3d7qDvPHGGx0sZtpTrVYrzp49i0ePHiEYDLJQqVKpZJV+uRE2DapgkQbi6OhoV1Yg 7Se9MKjPUujf2NiA0Whk2Ra73Y5qtXqgeieHnHQ7N+h6bDYbQqEQtreVuH17Cvfvj2NpSQ+Xq4JTp3Yw MRHEkSNxqNVt9YNisQaT6RiKRS+2tp5AkhLQagM4enSCA7pbt26h0WigWq2ir6/vqZB4BrFYu+JFzy5V pSmI7YVrJkHcYrHIFXv5GhUrlGSrJOpGEkv/9u3bjDmkjkKz2RYSp2ujoojb7YZSqYTT6eTOy/8vMGT/ XxtWaxvUPzw8jOXlZVQqFZTLZZw8eRK7u7tcTQL2cT+EgTObzYhGo7Db7ejr60Mmk+FNrVxuK/pbLBYE AgHs7Oww0LNXGRxoZ7WFQgETExMAuptk0+iFx6LDuK+vj/36rFYri/SJYo0UYM7MzCCXy3XQ4FOpFCwW C6anpxEIBNg0nA7SXqOXyOezKh0k66DRaJBOp1GpVLhCSfZJkiShWq12KFh3Y4jS5xLfmwytKVCiwI+w O8/r5ScPDsTDVXzvWq2GaDSKSqWCYDDIuB5JklAqlRCJRGAymbiqSlptzWYTgUAAjUaDJRlCoRD29vag VCpZoDiZTDLjTh7gEbtK1LnqNai1Tptrt6yV5rabzyTpx1ksFiSTSeTzeUiShHq9DqVSyfp4er2e1969 e/eQyWRgMpm6BuqHteEPu0c+nw/f/OY3O+Rt8AzbAAAgAElEQVRTqKKSTqe5GuhwODjZIowWVWWBduBd r9dZf3BqaqprqzSXy3Uc2NPT0zxHzaYR4bADoRCQTAIaDTA0BBw/Dng8QKUCBAIZKJVqmExjyOeD8Hrd HW1Q8d7U6y3k80Z89tljaLUqQXpHjWDQgmh0Dv/wD25EIga0WsCRI1q4XIDRCAwPl5HNllEq6RGNanHn DtDmR1hhMv0utNosLJYMHI4UdLryUxJBFm63BbncMeTzNeztabG15UOtJvHnd7tzOHNmAcPDcRw71q5Q lMsqtFpl6HQxKJVVlEoqWCyDGB4+imJRhY2NKDyeSSQSFWg0dhSLSuzsLKJYLCOXsyKVsiAWG8RPfzqM n/60/T5qdQMeTxP1uhKFAlCvA0ajD319/xecziJ8vhqKRTVGRnJYX0/h44+ziMdHEIuNodm0QK2uwG7P Y2SkjMHBAmKxdVgseRgMWly+fBkAeJ2IGGGDwdC1qk/PgohBpbUhdixisRhWV1c7yAIiKWtgYACzs7PI ZrPQarUHAjuCnEiSFhpNPyKRDCoVK3Z2gJ0dYHcX8PuB7W1ga8uKra2vI5VqP+snTtTx3e9+hgsXVrG3 F+bkTKPpf1oNTUKvX4XV6sd3vjOHbNaK5eUKQyxIpiSZTDLJTZIkxu5ls1kuXjQaDXi9XoYg0GeVj2Aw iN3dXSby3Lx5EyaTiQMkoF2hJ104YoGSJV65XMby8jLcbjcqlQo8Hg+KxSLGxsYY2ylJUoebSzQahcPh QCqVQn9/f0/JnF/X+CIgkw0C61osFnzyyScwm83Y3NzEqGASDABPnjzhCkqxWGQ/yLt378Lj8TBrzel0 cga+tLTEoorETulVphWBqH6/n6+t2wLqBtanoIRKwkR1J+YUWaYQPVvMYHK5HFZWVqBWq9kmo9ls8vua TKaObPCwg1FUoabg53kWP7HMarUa4wbK5TLcbneHawL5EhL1WtzwaDMkfScS/p2bm8Pdu3eZpUODwN/r 6+uYmprqaEU/7wNLjC4CNJMCel9fHxqNBgdibrebM0m9Xo+BgQHkcjmsra2xOwFtPpIkMX6RnAro2rLZ LLa3txnYTNpCkUgEDocDNpsN0WiUgbDUNu01rNZOlXOLxdJ1DsRAn1qnANhomQJ2wq6IxArC4VEmu7e3 h0ajgXw+j0gkgunpaZZS6NbuJkuxxcVFVt+XY+fENfnlL3+54zNSlScUCnEQTJUvSrIIB0ripUqlErlc DrlcjrNyep+PP76GdFqNaLSJXE6HZtOCVKqJ//bfyggEziIcdiGZ7E646BzDUCiG0Gq150qlasBmq2Bg QAG7vY5Wy4py+bcRiTQRiUio1xWQpAY8ngrU6hKqVRVSKRNKpfa2PjSUxfHjOVQqNaTTfQiHW0ilmkgk dFAotDAaa/B6G/iN31BhfByoVst4+DCEeFyBcFiLlZUZlMtaKBTta9Fo2n8DVeh0VXz5y0uYnbXi2DEP LBY/dnf/FipVG9R++vSXmaVKOMG2gHUZFksC4fCVp6w5IJ+/AbNZekpuMMJojHNQq9PpMDQ0hExGgZ0d N9JpFzY3FVCpBmG3G6BSlWEwaFGraREINLG62sCnn5rxox9RoNgm6BgMVRgMWej1VdTrJjx+7MMHH+wT URSKFvT6MlwuBfT6IoaGWnj99S386389h1ZrP0BYX3+Czc0Sdnf7sLLSh709IJMBtFo3pqfzcDrTSCbT SKWsWF8H/H43njwZBFBGLqdBX18e164t4itfOYlEoohr1/oQDA6i0VDCam3io4+ScDiUqFRasNtzyGTM 2NwEHjxQ4OHDiwiF9EgmzT2rkFotMDoKDA3VMDNTxpe+pMa/+ld6jI6qkckMY3W1hO3t/ed2enqa9ebE Z5mSV7H6euvWLZTLZej1ejgcDsZEO51Oxm0ZDAaW7KDuTy/fXko8CbKRSCTw85//nDGLo6OjiEajqNfr TOxotVrY2NiAUqmE2WyG3+/nFq1erwcA3utJasjr9bJILb0GSTV1Yyb/OscXAVmPQW0OnU6HlZUV7O3t wW63c4VFrKA8ePAAiUSCqdflcpmDLgrASL2Z6P1ks9Qt0xZxLY1Gg1W3jUYjM/fo50qlEm7cuIFMJgNJ kuBwOA5kbqTortVqsbe3x0GZ6PsoVnYoEyOwJOGe6DpFRe7DfN92d3dx//59lEolBj7TyGQy+NnPfsbq 5W+++WZHKVu8boPBAKPRCKCN3env74fFYsH4+Dh2d3cRj8eRTqd5vp88eYLz589ze4esNqjsfevWLaRS qY45lyQJBoOBMzwR2P+8DBwxkCacjwis1el0aLVasFgsGBkZYTVvl8uFoaEh9q3L5/Ow2+28YVEwYzQa MTw83GF+XSwWGe9ITDRJkuD1enHmzBnGHqlUqg7A8WFBtLgWDtM8IhyeyLL0+XwYGxuDRqPpUJv3+XzM CDx37hy/DmEuSVblzp07TIIJBAK4fPkybLZOfaXl5WV2jrBYLAfo/4e1iSiQBNoMM6ra9ff3Mx7rwYMH 3CIGwHIZCoUGn32Ww1/+ZQL5vBqt1iRWVoCVlcvIZPQH1kMbg5PG8HAEr722hSNHGvj2t+fgcgHVKrC4 mMf8fAWplASNpgGTSYdMRgGDoY1X292t48mTPDIZPZJJNZxOKxwONUZHq3C7sxgYaGJ+PolYTI9iUQWN powTJ5IYG8vh3/7bfgQCNw7gEKvVKvL5FmZmRlEq5Tv8H1dXV3Hs2Dpre5nNZiwtLfFz9/bbbzMonhKs S5cu4ehRA65diyEUAnuaFotFFroGwBVeYp5T8kP3QqVSoVAodDBw1Wo1vvzlL2N4eFiQ+HmIqanuDLl0 Oo07d+5AqdTiwQM1ikUj3G4DgPtQqXIs+Gyz2SBJGpTLDqyvK7CxoUaxaEU2q4EkeZBIKPB//s8QfvGL Ufzn/9zA3JwKdjsQDgPLy19HOr1fYW5DMy2oVr/CX1OpWti3sTQAON1jxzADGOjxvbb0Aw2TyQy3u4Wh oRxeeimML33JiWAwCa22DperjDfeOIrBwSbU6j1IUicb2G6/DKD9TJPl0/b2NuOhyUFF3s4X94H19XWk 022bonq9zl9PpVJsmUZt9ZdffhlOp5NfRySTib69ZNNH3Q8AnFTu7e3BbDbz+qFqJZ0FlCDRZ8jn87DZ 2k42IlaaZH38fj+fD7Sn9sKt/TrHFwFZj0EHTiQSYcZGoVDgygH9bbPZMDExgYcPH/LPTU9Pw+l0shwE iTJSIEX0/l4MMRGISrR4OtjUajVKpRIWFxdRLpcRCAQYY0RVJeqlE+2X9HmoUqHVallludlsduBLCDeh VquRyWS4LEyWL/IhVsDoYKT5uXXrFktQkKBqsVjkB3xrawtAW7phfX0dp06d4mug66a2Wy6Xg0qlwtzc HHK5HI4fPw69Xo9wONxhgZTP51EqlXDlyhW8/PLLmJycZOFbooATY5L0nAgbRAeEvC39vKQKMZCmQVYh BG4F2uzFpaUl6PV61Ot1nD17FmazuaPqSoKo1EKmiuXa2lqHcG0wGOT2rVLZtnDRarUdVTCfr00dJ6wK cLj2GY1umkf0OW02G7Msq9Uqrly5gpMnT0Kn0yEejzPxxWq1olqtYnx8HDs7O/wZyC6HMHTUciOSBVXZ 1tfXYTAYOIumoFK0zqnX61hfX4fFYunQfup27yi4I3xiO4BQwOVy8yFDrhmxWByFghfR6AX87GdKPHrk RKOxfxjr9RV4PBVMTQUxM1OEzVaB0ViG06kCkEVfXxF6vZJbuisrK/B6J/h96vVrmJ4ucxuFQNyU7Pj9 fiwsPODPcfLkSdhsto579+///RwajTpsNtPTe1OHzdb25wsE9u8lVemtVisqlRi2ttrJRiKRgN/vh8Fg QKVSQSAQYI2qCxcuYHp6Gtvb2xgdHcXMzAwymQzb7Yh6VRMTE1hYWGDV/BdeeAE3btzgYJ0YzwMDA1hd Xe0w3qbnUKlsOxIQhk2tVjMbnUzgif1KIrF0CFOLkT6ny9Vk9mkmY0CtJrFPbKVSAQAMDgJmcwZHjpTQ arVJPWfOnMHS0hL29upYWhpDMnkSGxsqhELt1vLbb9cwMlLAyZManDljQl8fsLERwE9/uoJAwI1oVIv+ fh9OnLBiaqr9O9UqEAhEcfXqddRqSjQaarz00jl4PC44nTmo1UFIUguAFbduPUY+r0IwWMCpUxcxPW3E xATgdCqQzQLpdAM2W7tytbCwxmujr8+Ex4/3meHUWmw2mwe0yroxs3tBNCi5oQqT0+lEoVCAXq9HJBLh +0Xrp1KpYGVlhYkSfr+/g/neaDRgtVpZ5+/o0aPY3Nzk84Gqa61WC06nE16vl+36aL05HI4Oc3MK6ul8 JdFiq9WKmZkZfPzxx4xDdrvdOHr0KLxeL+Nw/7FdkM9zfBGQyUa5vG8uTirM9HWqnCwvL3f0/S9fvswH nt/vh9/vRzQaxeXLl+Hz+WCxWLC0tMQlXbl0hnyIbSMKJtoHRAw6nY5xKQA4C6UyrNls7rB5ouqUXq/n zEOlUqFUKmFtbQ1bW1vw+Xw4e/Ysstkss8kosxgeHoZarWawPw1qzd2/f5/p8tS+vXbtGlKpFAt3UtCj UqmwsrLCc1erNZ6yNVsdFSs6NEmVG2ir09frddy9e5f1oc6cOdPBhiWFa2r3vfvuu3A6nWxVRI4KWq2W 5SwIeG4ymXq2pcWssRtIW2Se0UZDGEGDwcA4DFKnJ6HM4eFhJon4fL4DemOikbLIZpRr1hENnqRKTCYT 8vn8gY04GAxyQCRqX4kVVfocFDyLmkd0bykY8Hq9KBaLSCSSSCYNuHNnCUajG5mMG/39w1hfz6Feb8Fi kTAzk8L4+P57rq+v49GjR5xkkKk2tbeAdkC8vLwMpVLJKufE0FSr1dDr9dBoNMjn89ja2uKKWrPZRKlU Qj6f7wEJ0OD+/WO4d68Pfr8P6bQBKhUwMtLAiRNlWK0vIBb7Mu7ccSEeb8/fCy808M1vBqFUPoLdnoDV GoPNVofZ3JaEMZvNTFTYl3Z5hTf9+fl5RCIRXLt2rYNoQVXweDyORqOBDz74AL/927/NmDE5sUfOCpWb b9OgxIoCVHKZyGazjKuhCiyJrtpsNuj1erjdbq4Uz8zMYGBgAOl0mgNs2ptEk/ALFy7gW9/6Vgdej3TH gPYhSgkTPdNAmzzjcDhARu8+nw937tzhYOLu3buwWCwslUP6h0RgoeoMrVnCnVarVczOzrKQM0l7EMOd kryBgQGcOXOG91SClej1Dbz66g4uX56B1arh+d1n/Cmh012AQmGF223DzEwF09OBpwmOD/Kt3WIpI52u 8P9feaWAkREX2lWyGf76+LgR6XQajx8/xm/+prHjNcSkmSpGIkOTkpBEIsEszVarxXpvJPQtktYomBWd BQh+Qy1LgiYkEgnk83lei+FwmMlgVK2nCqmIe9TpdDCZTHz+RaNRhMNhLjRcunSpq86fx+NhSzuDwQCL xYJ79+51JJB0jcQqNZvN2NraQqvV4vOAAn2SWhGDsV7WTb+u8UVAJoxMJoPNzU1EIhEWq6TSOo3V1VXo dLoDVkEjIyPIZrNYXFyERqNBKpXiA3V+fh65XA7hcJizT6og9FKQFh8+j8eDUCgESZLQ19eHYDCIXC7H BxeZ4NLmTpiqcrmMY8eO8QGsVCpZ0HNra4sDl3Q6jQ8++ICDFKvVylWt7e1tDA4Owm63d8wTBV0UfFBV o1Qqodlse9W1y8J2+P0mFIs+RKNW1GoDiMc1SKX0SKXegiTV4POFsL2tRa0GnD4NuN1WlhNotVqIxWLI 5/MdlbZqtYr5+Xk0Gg0GljcaDdRqNdYmqlQqrL+UzWa5XJ/L5eDz+TAyMnJAw0kc3RibYgvPZDJhZWUF N27cYAYqgXKr1SokSeoQoRQP01qtho2NDUiS1MGkE9tu1DKl6pEc6E4b89GjRxnHGI/HOTsmyQqg3TYg 6RZR+FapVMJqtWFzM4uf/OQhNjb0ePhQB61Wgt2ug8VyBn19IQwPJ9mCpK+vD+FwHO+/H8L8/DBu334L 4XDv1gsNp7OAy5cDePPNPSwuLrLOFd1DCmibzSYHW1QppLVGxJJsNovjx49jZWUV2WyOg9AbN27AbDYj FotBrbYgEDDD72/go49q2NurIxLRYXPzGwAAm62Es2cLmJ1VodkEPvkkjf/9v52oVPohSXUcP57Ef/pP GvzLf6mH05lHMJjDrVtBDgLqdbC2G103CcyKMhGkHyYqyIvSFPV6nSt/e3t7WF9f5zapfA2Gw2FW66dA RHwm6fXkgr5kop7P56HVajs8cGlvoGsQ8XS92r8U8MnZsGJ1T6/XY3Z2lm2edDodcrkc+vr64HQ62a3k jTfe4M9ITEhyn6hWq6hWq6yJR2zGSqXCgqfNZhPZbBaDg4M8x7RuxEocYU51Oh0zJ48ePYpms8mEnnS6 LX1EVW2xutqr8iqHsPRiJFNVVmzLygf9LlmadatWiVqOIgCeEkiSJKLPvr6+jrGxMczPz3dI49DzRlIe cucXl8uFqakprmz19/dzwpfJZOB2u9mybXx8HNeuXUOj0eDngz4PaehJksSYWjqv6OygORULA7dv3z4g 2vrkyZOuJCpilWazWahUKvT19XEwRteiVLZ9OikIEx1gnrcL8nmPLwIyYVCgQwy3NghVzew+6jtTz5sW tJiBE96H/qaH2Gg0Qq/Xs+p1NpvF9evXOwKyV199teMBkz98pIyeSqWYJUPZK9BenPLsj0QgCQTt9/tR qVSgVCoZd0TVL8oyyV2ARPZKpRIMBgOzPImKTJnuPgBfgZ/8JINAYBR+vwsbG28im91vdWo0dbjdJTgc RRw9moYkxVEsSgiFRvCXf+nA//gf7Z+z24HpaR9GR78FszmBcHgDanUdRmMRPl8ISmUBgIRaTYt6XYLT qUajsceldMriaOMTN2UaBoMBExMTh1Ke5QxKeQuPdG0oY/f5fIhGowwSTyQSyGazrBtEWlwUWFJFQA4s zWQyePDgAVKpFDwezwHBTFobpMTe39/PhzqtU6AdLKyursJkMqHZbGFnx4hMRgtJ0sHnexXFog5bW0b8 7u9q0LbXexUAoNcXoVIBhYKeAeZKZRNudwomUxn1uhGRiBmVSnv7cLkS+PrXfwGXKw6TSYFGowqLRf9U BLKGbFaHYvEYNjbm8M47R/D++2OYm1uBx7MGk6mActmIcnkayaQEtVqDZrOd3fb3a+H1rsPpzMNoHMXg 4Azu3nXjT/+0jFDIC52ujmh0HNXqW9Bqq2i1lHA6yzAaGwiFdMjl9isMbncBLlcJdnsV3/52CqdOxTEx kcNXv3oBVqsOfr8fr766AKvVhtXVLMbH7fD5nBgc1AGo8rNIrWH6QwlCPB7H4uIi9Ho9V0PX19exvLzM hzFVg6hNQgfqwMBAR1WI3AFE1jBVLj799FNe11RZon1GdA2Q27Gl02kmj6TTafh8Pm73iGb3pVLpUEKF WPk4TJZHDDip2k7uCvV6vSNApZ9Pp9Pc1iyXyzAYDEgmk4jH4wDABzTBN2jvqdVqSCaTMBqNPKditYUC fiJwiO9PiQzpzZG+m+gaQUOlUjH0RNRE67ZXyAf5cYqt9m5D9A6mamqvgFBeKRc1yPb29rhN12w2sbS0 xMkU0Lafc7vd7ExB80QYK8JsVioVDgxVKhVMJhMHMEePHuU9KZ1u6/dRdVL8fCJ2bWdnhytW5XKZ9056 vkgsutlsIpfLYWpq6lAlAvE9iLVN5xwFewRzGR0dhV6vRyAQgM1m4xZ2rzX86xhfBGRdBgVgVILVaDQw GAwolUqsSTY2Nga3243BwUFWURc3E1EnhjYmei3aCILBIG8sOzs7+PDDD3kj9nq9HYbW5CNJm5PIkhHH 0tIS039HR0c54CsWi4yfIhVoyi51Oh2y2SxjzMi0XLRnefJkA+l0A6mUhFhMiUjEhlzOgGx2DI1GE7GY Devrk6hUdFAoWhgYyGBmJgy3OwCvN47jx3X4xjdOIZ/PsjG0VqvF7u4u+vs3cfz4VxAKDWJhAVhfB5aX 67h+XYlQyAvgcGkNANBqazCZCjCbcwBaqNcNqFS0kKQm9PoGfvxjCxSKGgqFV9BqaREKqVGvK6FWt0G4 JlMDxWK7UnLyJPD668CFC8DYGGC1gq08xApdoVDg9m4bLJ3njU2h0CKT0WB9fQ9udwYaDXDnzh2eY2oz b25ussUKsE8M2N3dRalU4sNzYGAQlYoV9+4Bjx7F8eTJIDSaJtJpA8xmD1IpNaLRFhIJBSoVCYAClYoR lYoVhYIGhcIkymXNgXmzWFr4zd+sYmwsBYViAzZbBI3GGqxWC4rFCmo1N7a27NjYsCOR8KBaNcLrBV5/ vQSjcRkWywpstiRMJiPGx8efWoJVoVY3kUjkn1ZRMrh4UQOPJ4H/+l9v4cqVOVy7NotG40THtRgMFahU SrRaTSgUQLEoodH4yoFrdjozGBmJo1BQ4tSpIMxmIJ9XwOl0IBAACgUFjhwJweXKYmCghOHhIsbGshga 8vEzYzSOdwTiFEBkMmm4XHVks1GsrSWZVk+HWT6fZ8Ay4ZiMRiNXaEne4IMPPkAikUC1WoXVaoXD4WDF +tu3b3Pl8/z583C73WwPRomeGAAB6DCoJg9chULB68Zma7sx5HI5VowPhUIdOFUxgBLV+sUK8OLiYod8 Q6/ASzwAgX2ZEHotsWpEwRG5UZw/f549X3O5HK5evQpgX8uRgsNCoYC7d+8yHpKIRhQUEy5JoVBgfn4e 4XCYWebBYBChUIhb2lTBp4pcPp9nz9lUKgW9Xs+sazL9FmElJFFBTHWRoPSsIerLpVKpA4GeCIMQmeHy RE0kt3RrxdPPFQoFbjHS/5PJJMNCyH7OarUy/Eaj0XBFkjB2lNzROiMjdLnZuQjX6CWVQ2x/ej3ChEqS 1CGxQwLlZPNE3p+FQqGnJaD4+WkO7t69i2KxiL29Pdy9exeDg4OMvxU1JsUq46+7OgZ8EZB1jMHBQZjN ZlgsFsbj2O12qNVqDAwM4O7du6xaPzExAZ/Ph93dXfz4xz9mNuXXvva1Ay2wbhY1Ij4IAFsE6XQ6RCIR BINBFvzU6/UMliU9J9ogSaCVrI/C4TBjo2gTICA/BZikqaTV6rCxUUIwOIF4vIW9PaBeNyOdNuDJEycK BQUkqY5CwYB83tShOSQfJlMBJ048wQsvPMbrr6vQaGSZVQoA5bIesZgP29vbyOfzLHVQKpWQyWSws7OD V199Fd/5zhSA/epgoVDG7m4chUId6bQF2ew06nUlqtXK0zaIBmazD+WyHUtLKcTjEpRKFZzOClwuBep1 oNk0oF5Xo1wGcjktlMomxseT0Gha0Gj0KJdrsFgU6OszotEA7twB3n13/7Op1S3YbE04nVMwGKwwGmNw OrP8x2AooVxuIRabxI9/PIzPPjuNWMzBv69UtjAwUINW+5vQaLIwGAowGApwu8twOLJwOocRje4zZ9sH sxE7OxNYXp7A6uoUIhFx7t1P/3QOtboFk6kEjaYGhaIFi6WGoaE6tNoMTCZAo1mGxbKHVqsJj6eMF15w QK9vQqkEt31HR0exvl5lzTNJasFgeILx8RLbjLTZlmYsL5sxP6+Cy9UGWw8ODiKTySCRSECv13PLX6FQ sFTK6GgY//E/XsXubgbxuBOlkglabQmjo0WYzQ0YjUaYzWb09fUhEEhhfl6DcLiJUkkPg8GMr31NQiZz EyqVkttLBPJ/4403uBJAlRfyR6zVVF0PEmD/ILPb7axPlEwmWS6FLFvo9QAw9o+CZvJnTKfTrJNH+mXl ctsHtlgsYmVlhVt11WoV7777Lh9QhPkhSyyqwtAhTZ6QGo0GWq0WMzMz/BkAsKi1SJQgXF2vtlo3KRN5 G/KwdhwxXomFbjKZ+P1Elh5V2ql9RExhcrqo1+vszEGVH9KmE3GD4t4nSRLPEc1puVzG6uoqV8ipA0Ak AZVKhXw+z+9PVUnRE5QYtrSe0+k0E6To/ncTTO7FXE6n0xzkUHtU/B2xEzI9Pc0yRSRbIx/lchmFQgHh cLhnS9NgMOD06dNIpVLI5/MYHByEJEldmf00TzTH9My2Wi2eF6q2ESwGOKi71yu4IeZ+Ot32+DWbzR1t YQDMhqeiRb1eZ2uw7e1txioSVEg+1+L/qVVNLfhGo9HRHhUTCVEz7p/D+CIgE4bVasX4+DiGh4exuLjI eBwyFydRzUajwVnbo0ePmH5LhIA33njjwOvKb3o4HIbBYODyel9fHyRJwtraGjMiafOih4A2SmpfiZkn BVsqlQrDw8PI5UrY3JSwuzuOWMyJaNSJcNiMYtGAalWFWk2DalUNuV0GAKjVdRw5UoDNlkaloobbHYbR mIPVWobRmIfJlIfBkIPb3cC/+3dvwWo14+rVqygU8k/lNQZQKh0UIE0mk5yNERCfcB2FQgELCwsIhUKY nJzkgwFI4+TJF7C5uYmZGT1arQDq9Trj3dqkimOwWs3Y3c0w7qwteqjhFtK+mKgS6XQWKpW6C6Bz/1oX F7P44Q8XsbOjQjqthkLhRC5nQCplx+PH7q7VJgDQ6+s4ejSKy5efQJKyTwWDG8hm3djcLCOdtiAY7Eex aESj0b6///2/t4O2/v4CJif7kUq9jvV1B6pVDbTaOt54o4WTJwGHA5idBbxeoFLJIpHIoVpVQ6utY2LC hOFhK7LZGgf/cpHSv//7z7hdrdfrYbW6kM+3mcE+nw+xWAzNZpNxFnQAjo2NoVgswul0dniXys3jyUmA vPjo0CSj5Lm5Oa48S1IZg4MhDqj0egO0WiMHMel0GrXaHpzOEOz2fWmERsMLt9vFWCjy5TQajZxpk/eq HNRNB0k4HMadO3e4bXz27Flcv34d29vbAMCAYjJtJ/wkSWMAbSwpYQWpBe3z+ZhNuLCwgFQqBUmS4HQ6 cezYMdy7dw8ul+qingEAACAASURBVAvRaBTFYpGrZKJobqVSYXwLVWHE9p/b7WZG9Y0bN1jccnJykitY JDmRz+eZ0Xzq1KmOAEkEbj9LykSObRTxXiTxQntgOp3GgwcPOuAAwWDwqaBpu42/sbHBTO5cLodEIsHM V7pf9L5nz55l3aloNIpEIoFCocDyP8Qgb7Va/D2gfcC7XO11QkEXAH4f0XPWbDbDZDJxsEXCvwBw9erV DjIAwQLkVaBuGD5KzIn9SXu6KPYr4kopwKHrJbFlGjSPVOl67733GPZA3xdV7YnVHI/HOcCnz0XwE4vF wgx5OsNorvR6PU6dOgWPx8MVS5LmSacP2t+JgbQoYh4MBnneCoUCk0eo+kVK/nKBcmq57+7u8nsQs3J5 ebkjidze3ub/0zNMbeJcLndA4oLwuaT4f5iTxa9yfBGQyQZlunq9vgP4SZscVZ92d9uWEwTUJIB9Pp8/ oKgvZ+atr6/jxo0bDKqfnJzEmTNn2JJJoVCw1QxJGqhUqg7tGJ/Px8a5hPWiIKdYLCKVcuNP//Qt/lwO RwGDg1kMDaVgMLTgdhtRKMTg8bRgs8UwMmJANPoYJlMVanUFr776CkKhEHK5HPx+P18HbfiEYQEasNms +I3fuNxRBVSpVLh+/Tp2dnbQarUYyEtZKG2Iok2L3W7nzUDMhIeHh7G6usp6YsSkAzoPFJ/P10EGSCQS BzAI8uCYWGFApxNCNrsIl+sTOJ0tvkcGgwHT09NYX3+CTEaFlZUy+vrO4s6dVQB1WCxRfOUrajgcxqfm 6cscEE1ONlnTqR3MK1EoGBEKaZBOO5BO9yMQMCKddqFc1uDllzdx8uQO/sN/OILJyW6WMxYAoqdqu60q fj65RyIFLxRA0CYFALFYjFmxlCn39fUhFothZ2cHBoMBoVAIU1NTHVchgthJEJeqvdTyNhqNzIp8++23 cf/+ffZWbTab+NKXvoRkMsn6QdSyWl1dZco7DaVSiRdffBFAG1NEFeFCoYBardYBeD937hw/J2RZFolE 8NFHH/HaSqfT2NjY4OCL2vVerxdutxv37t3jgIDgAoSJefz4MX9GEhR2OBwIPNWbICmLS5cuwWw24/79 +yiXy/B6vdzCoaoOHUL0fJBuVzAYhNFoZCJDW5+s7Q4SjUa5+gS0A9ZKpcLPE8nwLC8v86EqB24TS5zW zWGG8XKBT/JspfdrNpuoVCpYX1/Hw4cP0d/fzwKeFNAQ+02ETlBASpX8UCjExBMiRJFjyujoKG7cuMGV m7ZobAZKpZJFRkkAmRwYCI5B7xOJRGAwGGAymaBWqzE6OooHDx5w8Eb4ueXlZcZRNRoNeDwenDt3roOJ TXuGiOErlUp47733mGTw/7L3ZcFtXufZDwgSG7EDJAgS3MRFEkVRMi1LtGVLjh2NU6eTZZI0uWnSSTvJ zN9Oe9Xlqsn0Jp3pVWeaTiczvW22mSTuVK5Vx7JlRRG1kpIoiiJIcQdBgCCIhQRAYvkv4OfV+UDSdhLL dBu8Mx7bEpcP5zvnPe/yPM/b3d0tVVfK7fAuUKU68vk8fD4fGhsbsba2hmQyKT8fKKvWr66uynukSCr/ X1W15zxfu90usx0BbVWL66XOluVeLhaLOxIwJv5MtrjmlWSjSuwzOzXc71QIACBntqWlZYcY7WN5mMca hKurqzKKr7OzU6aWZLNZtLW1iTp/R0eH/JusSv5M4ssqBcOrLMtPqKkZKUvXS0tLogS8ubmJUCiE119/ XZwvLRKJ4Nq1a5IlMQqnfhjVvsnw2N7eFh2WoaEhoXWbTCbJhAFIhmUwGDA8PIyhoSEZrcOssFgsilzH 8eMB/L//dw0tLSm4XCs4e/ap9zZ7ecByKpXCu+/eE+fa3OzE1aub77Vqyy0gzvOjBo3BYEBnZyfm5+eF VVgpIri4uIiVlRU0NzfjhRdekPlyFosFTU1NgrHzer3w+XwYHh6WcTrpdBput3vH7LP19XUNnZ2Zp9qu oakMR4rqGgwG6PV6TWBc/vzly4XvUJ1HeuvWLcm2ACAej8Nqtb63H5rhdG7A4cjD719CTc2YKNo3NR3C s88+C4dj51xLZmWNjY0yVsfhSGB5eQJmsxnPP6/Hs88+q2SEG6irK1d1dmuHvJ9wq/pOgHISAECwMgMD A3Kp0GkDkCCMjlbVwaPyOgDJZrlm/FlsdbDFRgYis1OHwyH4IVZQHQ6HAHyBx20EvV6Pe/fuyf42mUxS NbLb7dLeqKurg8PhwMTExK6Ad2JvJicnpSLFwIeEG6vVitXVVWxvb8NiscgMTl5klareDocDL7/8Mi5c uIB4PA6g3Jqy2WzY2NiQi56VA4ejPJbt8OHDIhlAdi7nAq6treHu3bsCaqbvKBaLQt7gmqXTaaTTaRFT 7ejoAAAZ75NOp8V/FItFEePkhVrJEuc+IQBeHbbOi7FS4JNsOZ5vji9jpRSAtInZwiVzT5WDYTBMtuTt 27cxNjYGj8cj0hb5fB6XLl3CV77yFXzpS18SiSH6JmLKtre3MTk5Cb1eLxUcMgbJMl5bW0NnZycWFhZg MpkwMjIilWPq39GYWLBtR7LXbu06SvVUtsm4pzlC7MyZMwAez7mlb+O7ZOtYPV/d3d0iDaJqdc3NzWFh YQGbm5tyXlkxLhQKQiJyOp0oFouyJiaTCQsLC/KclJxhW5IySer7Z/Uuk8nAYDDg0aNHyGQyOHLkiCRq Dx8+lLF7nIbB37+9vY329nYJcDnT+fbt25qAaK+giNV34pqZjDU2NmJmZkYSJ51OJxJRle1Zda6yKhj+ YYgDH4dVA7IK44vZrR8eCATE+TY1NWFhYUEuBZZk6TwKhQL++7//Gy6XC6lUCm1tbZifn5cMFoBgCThe hoyQ6elpKcezVM+DTY0XOliOJCFgkvgSr9eOV16h0rxNI6tAgOrW1ha2t7fx3HPPAShfjLxI+fXUJOLv J3A2m83i6aef1mxgjpyhA3v22WdlYC4Zh9QD48xCAJIZ+/1+tLa2ipYY157MVwBC096N/s0skervdIi1 tbUYHh4G8BgrRZAoHR5HdUQiEVy5ckWD8yAIuq+vT1Nd0Ov1OHjwIIrFImKxGPR6Pfr7+zX4HHV9KmeM 8hJbX1+Xdeal9n5ZJx2XClymzEolnoL/z3YcW30LCwvyLguFggQwxEOxIkMNvcnJSeh0Oty5c0eYpaur q2hpaZE9ybYbK00nTpxAV1eXVE4ZQFsslh3ZOCtYq6uruHv3rrT+SG7hhIutrS1MTk5KQlNfXy9ae1ar VebPqmxlh8OBvr4+pNNpGAwGhMNhWUu/3y96R2S8+ny+98RB40ilUtJGzefzmjZVIBDAs88+i9u3b8No NGJqakpYZD6fb0/2Fkdk2Ww25PN5HDhwAPl8XtTneSZ6enpEQ4r7GcB7VdogFhcXJfi9ceMGgDJIemNj A/X19cKYo+6UyWSSy55VOTImaWrFRqfTaUSm1TYfAAmUC4UCuru74fF4JLDnaDgSoUqlElwul8ZnTE1N yTQHBlMEYm9tbUliQP/AGYYnT55EIBDAzZs38e6774qcBoVvVagEK430uww8yBynEY6iWktLC6xWq/ip WCyGW7duiXyD2WwWGQeO/OK6sm3PlhyTHmq0qXNu+XttNpv4MspwqIkn8ZD19fWor68XoDpFvNXuQiqV kjXLZrNYWlqCXq/HwMAA5ufnRS+P60PfODQ0JBVltcXHfdPY2ChVQ+KW79+/LzOPU6mUCIVzDZeXl2Xd 1ap85QQVdewdjTi/QCAgXaMyxMGMzs5Oee8ulwulUglNTU1IJpO7YuW0OnIQfBoTgyrL8hNm7H3zBQ0O DmqAv8QzcLApxe6YiZNWTSdODE0ul5MyKYMxGg8M8V8UDt3c3ITJZBJhWlYeKsUzt7e3BbTKbJCtDDVQ UT+HepFvbW0hHA4jFArJxdPf3y9f39LSAr/fj8XFRZjNZsm+s9ksrl+/LqBbANKuItGAmQgv8+HhYcEy cEC5Or5pYmICMzMzcqFYLBb09fUhGAxqgkcCdYm7ULN/Ctvyoq+pqREnAkCIGLxwVDwJxXRNJpOU1XU6 nTyH+nsBCH7I5/PJCCi2WnYzlb5OYUe+e2o/VVYH3096gM+n/nu34I1OzefzYXZ2Fnq9HsvLy8L4pUZe TU0Nnn/+eXGuZNt1dHTsUEinTtTCwoIMSGe7nQDqiYkJNDY2YmNjQ5PtDw4OIhAISGWvq6sLw8PDUsFi BZZAb+65yclJGI1G9PX1YWtrSyrNAIT4kk6nd5wxAKL7x7b+sWPHYDAY4PP5dmAJeT7YArTb7XA6nZrK Bt8NWdGUXGH7m/g1NSimb1H1j5aWlnDp0iUh2xDITVV0tmPUUS8tLS0y7UEdGE/sKf0D2YhmsxnZbBaL i4sivcHnVkVaAYjeFFCuNlOYlYED25QNDQ24fv26JEr379+H3+9HfX09+vv78dxzz0krGCgLWEejUbz7 7rsyjeDs2bO4cOGCBAW89GncA6za8edQt4+jzurq6mA2m6XSySCU+97r9WJjY0O6DQwQqTHJdWALl9Xe VColzD76VxUXmclkEAqFkM/nsbKyIsmjy+VCY2MjDhw4AIvFguXlZakuhcNhDUY2EomIBIVKNmEwxaBe xVlxP1+4cEH8p7pu9C181+l0WuSWzGYzOjo6EI/H4fP5RFuQhIpAICD+n50EKgio7MREIiGt4ng8junp abmH1ASe82aJi2toaMCpU6eQSqUwPT0tUiKES4TDYQXv+7iaRakR/uP1ejE0NCTrRf/D+dDNzc07SDuV pJWGhoYdTOP9tmpAphhZWzwovOh5idBx19XVobe3VyQvhoeH8eDBAyklA5CyLofr7hWM1dbWwu1249ix Y6IBxmzcZDK9h2dKysXDi3d1dRWxWEwCBIvFgnQ6LQw1tkr0er20DQlgjkajcmCIv2H2E4lEROmfF9TQ 0BB+9rOfwWq1Ynl5WdgrHAbLloPD4cD29jYikQjq6urQ1dUlkgFGo1FwQ/F4XGj6vBDItlLXj4DOYrEI l8slZAq73b4Dd8FLjBgpBjmqEwHKLeVKEVti9Xw+H7q6unD58mVZb72+PKON2S1HWvHdMSAnY2hpaWnP A74bo4oCp5XMXPV7d5Me4EXBy4aX8m5MOX4/WxLMyA0GAzKZjATRBJpzDdVKnqqQHovF5CJuamqSOZSU JAAeX3rvvvsuisWiTCZIJpNIJpOaAebqWJx8Pi9nJp/PCyCZciP5fB6zs7MaKQdWTYmnYltKnVSQTCYl UMzn81hYWIDBYMDs7CzMZrNGHJIK9szEe3p6BMxfWZnlRbu9vS2BTD6fF5yn6lu4Zty3xB0x6KeGGD8X AE1SpVaNe3p6NPpZBJpzpi0AaZuqYqCsGhsMBlHxr5RWqKmpkUCDCY2qhafX6zXtIaAcECQSCQkQ+Nln Z2eRyWREKX1zcxPvvvuujNZhq04lSNCIBzt9+rRgWUdGRiRwGhoaEuC+3+8XMgrxowwCOjs7sby8LJVx MllZGWZVS6fT4amnnsL6elnHkQEvEzySLnjufD4fbty4IW1XVrbsdjtyuRzu3LkDk8kkckNms1kIIiRP LC8vY3NzU8aN8Y5ZWVnBZz/7Wc07TyQSEuRTM1Ov10t3hvvQarVKxZ2+mskXscisfHq9XsHS0beo8JOf //zn4g9efPFFkXwJBoOamaZbW1syxk2VT2JAzvMbDoc17d66ujoZj6WeQfWsAZD79urVq9L2V33knTt3 UCqVkEql0NLSosE6MsDbzY++X4t0P6wakCnGPvvi4qLITOzFKAEeVzrUcjFQvmAog6FuTnX8kE6ng81m E5C+3W7HgwcPpLVEvIDH40FfX5+MKGI52u12S8WCQFIGfMFgEFarFXq9Hq+//jpWVlakCsTKG5/JbDbD 5/NJm0vFDIXDYYyOjsr8Q4/Hg0wmg7W1NWlbMvAEsMOhAo+ZeFw/ZvJk9ZDuD0AcHz8/AMHw0Knz73bD XfDwXb9+HcViWSuIeBUGzxcvXhTHqrI9gfIQ6UAgAI/HI9kbladnZ2cRDodFSZrrHAwGEYlEsLq6Cp/P p6kEnT17VvaJKl/AgJ+Br5oVAjvxYpWSBQAEO7a1tYVEIgG9Xo833ngDTz/99A6gLb+fookkpzgcDmk7 sOXNlorquNSq3cbGhpATVDxKc3Mz5ufnpdLAdhzbCWTXcTKB3W6X1uf4+LjgJ5nUMBjgRa4aA3NWAlKp lLQ9WUnhPuJakojCS4raU2SPcvwLL6yamhrkcjl4vV65MCqD3enpaWG1McBhC+n27dvyrGTabWxsYH5+ XogpZrMZmUwGb7zxhhAGKC1Cqj8DP+45BuPr6+s4efIkLl26hGg0KvpjhCyQfTg3Nwe73S5g6q2tLdTX 10v7srJVw/ZuNpuFzWbD3NycTEhgBYdsQuI06XdUdXjCIpiMWq1WScxUliEr+vSTJpNJRK/dbjcGBgZk /iUTre3tbWkTqkYsG9+93W4Xn0R2PN+x0WjE3NycVPs5losB9srKiuxhJjtGoxEul0smcFAcm5+ZCSEh Daza07dxTJjdbhd8LrstrBhxf4XDYY3wa2Uy19zcLIQJMlwpi3Ts2DEcP34cqVQKoVAIAwMDsiZMnEhY O3bs2I6KPC0UCkkStLW1hZGREZmq0NTUhLa2NknS+Jlra2vhcrlkTBJn62YyGdhsNphMph13aUNDg+b+ iUaj0kpkkFZfXw+HozwDUxXD5SSMVCqFtbU1bGxsIBqNwmQySQCs3tefNN2xSqsGZHsYHTSdFjFPLI/e vHlTozNE/AwzBFUAlplZTU2NZG3MmMxmMwYHBzE8PIxHjx5JeZcjbmpra+HxeGSTM2Nju5EbnRkhwYwU VQyHw8KoI3C2sbFRWp1ms1kzsJosrImJCQm+qG8UDAbh9XoluwOgabfqdDphYiaTSUxPT6OjowO9vb3I 5XKiVs5KDcfd+P1+RKNRofzvZWp7aDfcBQ+Z3+8X0PmjR4+kYhEOh2WdyKhiiV1tVVBNXf29xIqoyvtj Y2Py8/jOM5mMgESXlpYEyM+LlXuKgW9lG7KSPn/mzBkNOYDsL7ack8mkBFec5+ZyudDb2wu73Y6lpSUN i4lYFrYiLBYLXC4XmpubRVsPwI4AUG2VUAAyEAgIMwqAYIAYyLIlzAvdYDDI5IHp6WnN1INkMim/s6mp CTdv3pTgXTXus42NDUlCWL1g+woA/H4/ampqcP78eQmQvV6vsP0SiYSM4wIeZ+Bscx06dEgufGog8f1F IhE5G+vr61hdXUUgEJDJHpWtdIKyiftRExe/34/nn38eN2/ehN1uF//Av19bW8P58+dFw8vr9QIoB3oM hlipYhJHLGJnZ6fog3G+X7FYxKlTp0Sxf7eLqaWlRUZbOZ3lIfJ8xxwDRcV3h8MhvoGBGfcdsUZk7Fmt VqnQcl+xMs2qKwMLSjuMjY1hbGwMxWIRa2trUtXe3NzEjRs3pFXM+Y1cCxUKolbqGWSyYuZyuRAKhbC6 uir+2WAwSKeExkqQ1WpFJBJBOBxGU1MTHA6HwCnoPxmkkdVM/B/HbN2+fRtnz55FQ0OD+DGyTxOJBCKR iIbQBexMBiwWi8ywpegwcZSs5rIKpZKWWKVVCWtqS4/vFCjPyGX1iz5e3dOqgC/1/6hfSIyo1WpFf3+/ BLpM3niXkgTS3d2Nzc1NBINB/OpXv5IKtVopJ/SGkwNUX7m0tCQFD7K1GQBnMhkRPFYT5Uo1hE+CVQMy xbhBWMpXx9WQNbe0tIQbN268p7dlFP0aVneMRiOeeuopeL1evPPOO9ImsVqtyGQyciCIGaqvrxeQrclk EgfGwGVzcxN2ux1Hjx5FOByWLOTkyZOSNTPjZ/bPQHF8fFzTJuVzcoZgZXuTh50YAzqWfD4vzLdAICAD eFlZamtrQ2dnJ6xWK958800JOKanpzEzM4NEIgGv1ysBaE3N40G0RqMR7e3tOHnyJFZWVhCNRjE5OSmV MQBSRaytrcWbb74pGfSRI0cExAk8rh5QfoFaTLlcDm+99ZZgS9h2oCJ3Z2enOLG5uTk0NTWho6NDAPDU hyOonVlvMpkUTF8+n8ejR48kwPD7y7MdVaxbKBTSBL63b9/eUaVgu4QX1Pnz5wVATGeittS47+hMfT4f stmsjPKJRqOaFg+Bt5RQ4VzPhoYG0fipJIBwckCxWITf79eM+KIz40guVmHUqQXFYlGkDmKxGHQ6HTwe j+zNUqkkLDGCyo1Go3w+nhn+nHw+L4w1JhtsiXR2dqKzsxNNTU24cOECYrGYVIF7enpQLBZht9tx5coV RKNRGI1GGI1GycABaBhYBDbzjPT29uLKlSvY3t6WSjG1kHZrpavsVAq2Go1GTSU1EAggk8lIANHd3Y2V lRW57Nj+tVqtUgUgaJ9tKhoTQQZKDHbJcONooL20xYBy5ZfEB72+PHcX0I7roj85cuSIBPj19fWasTlq wMhgpxI4r2JtyUxfWVkRcVZqlFEzi/uLe54tdmJAGdSrI6ACgYBmNmxDQ4NUhefn5+H1emVwOec9FotF rK6uSvWJn4fV5cuXL6OpqUnwpoODg7h3756Qvqg/xyCT7EuPxyMt5JaWFgmqTCYTenp60NTUhLfeeguF QgGXL1+WClZlu00lCpB4o2ICVU0yKvbzvw8dOiSzUtXAppI0FAgE8OqrrwobOJ/P72CxU3dsamoKLpdL OiZ6vR6ZTAYdHR3w+/04c+aMwD4CgYAkmZlMRtqL/PmUNGEbfGtrC7/61a+kNf/mm2/i3LlzGqIB/b3a pi0UChIAqzI+w8PDWFlZEfb3J0HuglYNyBRzOp3S/uIlUKkEDEBAshQVPH36tDhpsrWA8uUYjUaRz+cl sCNOx+FwoKWlBZFIRKJ/AMKg6e/vx9TUFLa2tnDx4kVpEdTV1cHtdstcOqrhE0xN8C9bBTR+Hw/W4OAg Jicnhcm0uLiIX/7yl8J4slqtgjXjs5lMJjx69EgEOIGyk+Il29fXh9OnT2NkZATb29tYWVmRtlBzczNa WlrQ8Z4uzOXLl4U9t7i4iEQigbNnz0qwwEuG1Qo+A8V6i8Uibt26BbPZjPX1dWHr8GvoqIkDYvWSsg8U aFQzSrYB9Xq90LjZdigUCrDZbJiZmRGME5+PzCegnFVy7EpNTY1Qy7mf1PZkpSzG+Pg4YrEYwuGwBDO5 XA6pVAr9/f3IZrMIBoO4f/8+AGiqJrlcTvYlhUdJWCiVSkin09JiYyDDNk46ncbNmzelSvBYjd+hwVUB 5RFf09PTMnqF54KK9Zubm4L5ohwBf39dXZ0Ml15ZWYHT6ZSs/u7du1LdUGUX2LZne4gYHL1ej2g0qqmg sRIdCoWQyWSk7cNWGcUj2Tbk31EhvNLUKjmz9Dt37iAejwvOk1Vr6qXZbDYJTFSpDf7OlZUVPPPMM4jF YtK6Ji6Kch1LS0uyd9ni29zclGHJ+XxekgWOSWOLlYFsT08P1tbWMDU1JcldIpFAY2PjroKmZPwBECJB Q0ODSPxQBoSVMQag1PxjQsgA1ul0orm5WcgianVexbRls1mcOHFCw4odGxtDMplEKpWSPUafY7FYkEgk 5Dzb7XbBmLKKB5Qrj4cOHZL/V9v+FKHmugCP9QyZdPNcELpCrFahUBDSUiKRkGkJHo8HX/jCF6SSXFNT ZseTXNDY2IjJyUnNKCCn0ymBhSqimkgkkMvlMDs7i1wuB7fbjbNnz+6oWrMCNjU1JUzE9fV1gSaoUAqg TJqiP1f1xXbDnfLvDh06JB2H4eFh6YxQgFyFRFRCGuLxOCYmJgSGQ1KDqm135coVkVIxGo3in4ByVZIY UZUMs7y8jKWlJcG9bm1twe12S2JWV1eH5uZm5HI5uWPz+TwikQhCoRDm5+extbUFi8WChoYGzefdb6sG ZIpRK6itrQ3j4+PSqqBmFC9flW1ENWGPxwOTyYSJiQlcuXJFQ8EHIBd6W1ubZoMw2wSAgwcPihgfDybL tFS0p3OrPAjMCLe3tzE2Nia0axqzdVbEKHx76dIlqe4QX+Hz+dDZ2Sn4K7vdjps3b6K3txdjY2Nyeaki r8RCENcAQAIuADIKhErR/LN8Pi9A5PX18qiWP/zDPxTmmdPpxKlTpzSZKy8Pfi+BxhQRJIiVa0ZhShXr NzQ0JDMk1TYgWT8bGxvY2NgQGn0+nxdCg9qeppwAKyG8HBcWFkSnh2tFKQA67UpMGIHUbHGwJUfn7HA4 cOfOHVkvXoAd7+ld9fb2CojWbrdjbW1NLnHiZ9bX16XCoGLnWD3Q6XRIp9PipDKZjOhzAeWg58GDB1ha WpKgnhgYXsRk5DJR4D90oBwxlEql5L2zRcOWN59xY2NDNJzITlPB5eFwGHfv3hXAOPWtGIwxECBw2el0 YnZ2Vp5DVflX5R14uQUCAQnyxsbGpHJUiXUcHx/H1NSUBCderxdutxuZTEY0merq6iS4oqYSEwCz2SyD nB89eiQ/n8/MbJ+B9/b2NtxuNw4cOCDiy2wR19XVYXZ2VsP4rampQUNDw45qgHoZk4nMOYgMgu12u5xV +i5Wk3iZut1uSbZY6Tx27JgkNsFgULBufr9fpGvC4bBMceCFrmKcWltbYTKZBKLBS5szKik9MTg4iLt3 72J8fFzYzpWftVIrUYVbqGQc7i2yJll5oU9nOzWTyWiEiCuryqoOGlBO1jo6OhAMBnH9+nXodGXRYBUT pfpV/ncoFMK1a9dw6tQp+VqVec3gn+8mFovJe8nlcujp6UEmk8HCwgLMZjNWVlYwOjoqiajKZEwmkxgd HUUmk9G0tZlk0AqFAu7evYuFhQVhzapry5mYJDyoZ4q+hfcan5NVLPoDj8cDs9ksRQ36EVbUGYiq2m5U QWCLmz5ycHAQoVAIm5ubUoUjwWO3ZGy/rBqQVZjaRgTK1OcrV65Iq8Hlcu1Kaa+pKStAkzm4mwvwtgAA IABJREFUvLyMXC4nlxLpuASfc4PwomM2pQJVVZAsD6nZbMaZM2f21LoaHx+XoAEoZxlsHSwvL4uTzWQy uHbtmgzLJeaBlQAGGnRqU1NTAtBnRYaik3w+6slkMhlNG8VsNqO/v1+ysrm5ObkIU6kU0um0rCdQzso4 +5AlbgAyVmlkZASpVEqqKDz4bFvx0mpraxOcQzQaFdxQbW0t5ubmNJphu603DywzMwAa0U6gXGE4fvy4 0POpn8S9QCNzraamBu+8846IzBJfxNYmpRaoy6QCgzc3N4VJmM1m0dTUJOKNbGOkUilMTU0hmUwKCYMZ Zi6XQ3t7OyKRiFxa29vbwmRk9qwyOW/fvq1h0wGQdiRbGel0WoJHm80mMhV0dnS0XFdm8XSw3Ktc+4aG BhgMBtEMM5vNSCaTWFtbE+FgVRuwp6cHwWAQly9fFkXvvr4+CchLpfLcvHg8jkgkIkEpL+SamhrcuXNH QNHAY1YkZ6+ura1Jm1WFAaiyIzxDrA6vrq5KksK9w7Ou1+sRiUREp5DV63g8rrnE2ebnuszNzcFms8Fg MKC9vR0jIyNCDjp69ChWVlYEw0idLRIkKnWZAC2Dl0zkXC6HxsZGtLa2wuv1SjJaKBQ0Y5tYwWOnoLJi po51UiefdHR0SALHvUlsEn0H2YpdXV2SSFEfb35+XpIhjva5fPmyBLLxeBytra17Vj5ICmKlnfAOVRia reeamho8/fTTMJvNmJ2dlZ/f2dkpCbfNZtNMNSB7lmQnAvn7+/uRTCblbiiVSrh48SI+//nPy56z2+0i M6SyzNfW1hCLxfDqq6/uYAxyXcgwHR8fF99RW1srlSoGbqVSCcFgELOzsyKFwb25uLiIxcVF3L9/H4FA QHzU4OCgEHZ4Bra2trC6uqphzXJtNzc3sbi4KEQfl8sl+Gb6eafTqZn4wASP8kPEzwaDQcRiMaysrGBt bU3eqbrGbJ8WCgVh8QPlSi73vc1mE3kOdjUaGhrE73wSrBqQ7WKV4yzcbrc4HmaH6ktkpWp0dFRK8eoI E/6cvr4+Te8eAK5evSqBG4MJzs+kpAGzNF5gwN6DbAFoAM5kHbE0yyG8165dk0tUrWKQhlxJQea/Kyty bBmQMcfLm4elra0NQPkyUan1xWJRJD6YAdMYCBSLZR2sdDqtAYWePn1ac0lwRI2q6m02m6UKlkgk8Otf /1qUxYnJUR029dYYSHBdAIhMAKujBoNBRGWNRiMmJiZgNBqRSCSkPVpp1Eza2NgQ8cvOzk5NxYTMU7fb jfb2dgnSgXILZnl5Wao9uVwOAwMDGh0dALIu+XweR48exaVLlwT/ZDQakUql4PV6xVmrOl7ZbHkI9smT JwFAZEr4d9xbVNp2Op0S6FHZu66uTgI+ajKZTCb09fXBYrHgwIEDWFpakkSAn49Ys0KhgOXlZdEfowQA /663t3cH+NjhcMBischZ47N2dnaKPtzAwIB8JgahxFuygsqWDQVia2pq8PDhQ7lgo9Hoe5MstqXdpeoB cg+bTCYBnzPgZHWQga7b7RYgN1CGFLS1tWF6elpYo/y53AfpdFqwcJlMBsPDw5KMeL1ewfDwHHo8HjQ3 Nwvju1gsakbxcN+ow5az2SxGRkZkFuDCwoKItzLAy2Qy4jsaGxuFWMOKGdnTalJWU1NWwC8UCggGg+Jj eZ54tufn50X3bHBwEDabTcZz0e+ePn0akUgEHR0dOHTokLAl1aQsnU4jGo1iY2NDvo++0ul0apTzW1tb RQIim80imUxqJoPQhy0uLiIQCGBzc1PTDVB9JX8+5XG4B8jg5Dvi+6VchEr+GRoaws2bN2GxWDA6Oirn Tq1cVzKvOS+SLbxSqSTv7O7duwKV4e/IZDIyD7irqwvRaFSIIvX19dIib2trE//xyiuv4MKFC9I+JLyA n0ENFOlr+TMZ+KrzOSs/g8Ph2JGILy4uCnOZ+Diz2Szsdt5brHJVBqqVSQihO4lEAg0NDZppM58EqwZk u9husgqM2ul4VBYcy7XHjx/H3NwcwuGwVDrU1oYKaE0kEjKHjEwQXo4MNAYHByXIYAUjkUjgwoULUoqt BCXa7XYB/JIFNzs7KxpHZK6wZAtAFI4PHjwoKuUceaK2Fi5duoSzZ8/uoB0vLS2ho6NDqjlXr17VkBIo dkkjaJ1r09HRgdraWgSDQXEYzIjD4TDeffddwQG5XC6YzWZ89rOfFSYlyRJsnel0OgkYgfLFo1b0GPhS rZ8OjniOTCaDlZUV0WwiBoygWbvdrgncTCYTPB4PVldXxbGp5I1CoSAtSALSt7a2sLi4KK0X6qMBZQyc Kow7Pj6O6elpAOVkob6+Xi5mtULKNgYviKWlJY2aOkfYlEol9Pf3Y2VlBfX19eKwKTw8MjKiYbaxneZy uRCPxzWB6aFDh+QCNxqN8Pl8mJmZkYuImLJgMCgtO2LfeB7q6+ulMkQNqcOHD8t0ixs3bsBsNiOVSuH6 9euCg+TZo7HFWSwWcfv2bTz33HPweDyaitrBgwcxNTUFAFKRZFszEomgpqZGsGbEoTHocTqdOHjwICYn J4XlyUvCYrHgyJEjWFhYwNbWlmCeisWiVLTy+TwCgQDGx8exsLCAfD6PmZkZ5PN5mRXq8/ng9/sFa8Rq N+fr9vT0IBQKSZBGPxOPxzE7OysVYYp6Usl8Y2NjRxVQrQiNjo6iVCpJkMSEkt/PahZ/FokDJISosiNM tIiNfe6552RGJt9vW1ubtFTPnDmjCebIxGUQo+LbGKD7fD5MTk7C7/fD6XQK5pWfq66uDr/+9a9lH/r9 fvGVADRB3vDwMFZXVxGJROD3++UzMFin7yLZg9Xl1tZWLC4uSoVar9fL0HbKYkSjUaysrMiZLBaLcp4I TeDnUskjTqcTTU1NuHfvnlTaCeGgsaU6OjqKubk5xGIxbG1tiU9g4E5QPwBJure3twVPG4lEhOySSqWQ yWQk2KyUz/nyl7+M9fV1xGIxDA8PCzTmzp07ACBsbrYteb84HA6NREilpVIpzTg2dorUcV28u3Q6nQST Xq9X7kuuSWWQR2OLtLu7WwL63arG+2nVgGwXY4ZDZ6rqAJERyQBHLdcCEFYlgyXqvgDAjRs34PP5xLmQ AUjQKJ02cVBA+bKiXhadHi/F+vp60Vlh63R4eFiwVJwfabFYsLi4qAnsmEEDZUfz3HPPiRK0mtnyYuF6 qFUlFStBp9fR0SGtKo63IACcNj09LYeeoH6j0YgHDx6IM+VIIQCynqxQ0ilRtoCOrLGxEeFwWC4UBrgk awCPgdpAGTw8OjqqudipKs/goKurS4agFwoFPPPMM1K1zGQyaGhogNFoFAkRtkQZeLFl53a7YTAYMDk5 KZ+JLE+KlgKQ4IB7jTgjVv3cbrdcgrvtWxI09Hq9BDm07e1tuFwu1NbW4tq1a8JgogYUn4vYHJWcMjc3 J1kxq1GHDh3C4uIibDabvM9YLAaLxYKBgQHU1NRI5YFDkSnkOTg4KKDdR48eyXBwPodaueP5YQWALdK3 3noLX/jCF+TzsfLJ93/r1i24XC7Y7XYNAYFJFSvXXHPO5eMs0XQ6LVptBJR3dnZKy5EYNRIrBgYGMDAw gNHRUanUZjIZYZ0Sn8gzTgIOcWLJZFLwS9Rzun//vlTk+M6TySScTqdUIXQ6HQKBgFxMTJjW1x/PgFUv enVqBUeFMfGk8cLj8/Hzr62tSWu+pqY8cJ0kB5IkVGA18LgVzYBtbW0NwWBQEhzivXghq21e+h5OhHA6 nRLIZLNZGbfzwgsvyFqrSvH8/Uyu1N/Byi0r4EziLl++LGSlT3/607J3gHIFMRKJIJlMYn5+HqdPn5au yW5D21taWnDp0iXBdx06dAhtbW0ipv3SSy/BZrNhampK2uRMFJPJpOw/YmRJdADKIP3z58+LT6cArsVi gc1mE3kJngkAovPGhL6mpkamVXBOZ0dHB/r7+3eVRuG/b9y4IdW4uro6rKysyEzK3t5euUMYgPIZdiOU kIhETbWenh5ks+U5mOxCsJWdzWaFKFNbW4uNjQ10dHTsCFS5/2nENb5f9eyTYNWAbBfbTYhTzdSohcLL QgUpcoQHQYos2QJlR9re3i4ZS1NTk2wOnU4nc/k6Ozs1G4/CrclkUliLpBWrGdz6+roMFS6VSohEIrh4 8aK0APx+v7Q+jx49iitXrkhrLh6P4+rVqyiVyiNBeCiAcruBTlLd+CzT83AQt0Iqt9frlVmG6vfQOTCD SqfT4vA4+FgFXNbW1sJiscBgMAh4czcKvt/vFwVxXiB8n6dOnRKiACs1xPhcvHgRJ0+exPXr16V9yCrM 5OQkTCaTVNVGRkak4kYcBRmznF7AAIItPLatWIlsbGyUC5pzGHmBMKCnrEIymRT2I6UFQqEQFhYWMD4+ rhkozlFCrOoZDAYJNmpqaqRSqRIH+HtJXMjn8/Lc3Js+nw+jo6PiEHlJE7+kzrej8yXYemFhQURcM5kM JiYmoNfrYTKVh6EDZWwg20VMTNbW1jAyMiIYOCY2qVRKcEzxeBzBYFBAvMSM8TOn02lsbm7i4sWLeOml lzQjkkjGiUajuHr1qlQNuBb87CaTSc4Pv6e2tlYqwurYG74H6ksxYFPVyKlppxJeWIkEIFViDrLm+mcy GbjdbgSDQdEG9Pl8ErCvrKwISYWmJpZWq1WSH54Bnl3udcoNWK1WFItl7TCOGQPKsye5vrzwideJRCKa wI2tee65VCqlgYHodDoRsA0Gg3JWibOiQDHJVQw8GWytrq5K9ZfjiKxWqwSfsVhMzhUrQdSFVPXvOjo6 NPtebXkXCgWMjIyID2NiSH/D9q7H4xFGvDq0fWlpCfX19Rp8FwkMPHesElKHi4LACwsLkpQSZkH9PjJB 33nnHQmkOX2gra1N9Aa53ynzYTQaxYeqDO/19XUZpbaxsYG2tjb4/f4d+GTVhzMBZXBeW1urafnyd+Zy OfT29sJgMEh7Xv05DIZVqRTqFjKgZBJJeSH6UkImmpubNc+5G3OY1WC1uPJJtGpA9iFMZSKR/cjN4XA4 JKNh/9poNEqAkE6nZVMUCgU5UBaLRTSS+vr6UF9fj7fffhvFYhEPHz4Upf3a2lr09/fLMGJWMyjySNp1 KpWS8rFaYVMrSPw9/H/SodfW1nDlyhXZ7AaDQVomQHl8CzMzKqnT6THzA8oBiKrqTq0tHgxVPNHlciEa jcrhAh7P66QsBfBYMPHkyZMCWr969aqMyAAeAzcBiMIzZ/4B5QM6OTkp+I0DBw5gcnJSgsNwOIxf/vKX SCaTEpgQVKxOJNDr9VIBoPMixm1mZgZ2u13wMwaDATabTfAm1LSy2WwolUoy5kWv10v2SFD98ePHd+g1 0SGRJQWUK5t3795FW1sb9Ho93nrrLcRiMWknUW4FKAcCPT098v/BYFAcU319vQDDyYyjblpzc7O01vmZ +T5jsZhgxnK5HJLJpCQF4+PjAlanNhHXtrGxEblcTqobrI6wssX2DzFFvOSoOZdKpQQbyedhBZVkCO4d XhiV6uCsJDHw59erWlaVWCuVwMOAjUw1nkHKIhCozM/CygdFaSt19ohTJduZ54VacQw+MpkM2tvbkUql 0NDQgIcPH0qFlkkh8Jjso2I+r127Ji12tjZ5RlmpOnTokLx7vgOeb2KT2Mpkoki2OMHhJCL4/X60traK 72O1jgxO7v27d+9KtbtUKk92mJ+fx7lz52RqAAlDPp9PmHuUvSCmSQ34HA6HJKckYrEDoOL+lpaWcOjQ Idy7d098DytO9EcPHz4UZXxVdJb7jkxHwk5qamqEuU2cJjFguVwO165dQ319PWpra6XFya9jtfTRo0dS yQQg5yIUComCPhnVfNYDBw7g1KlTQpzifgeAEydOaIho3CM0+jlWL6empnZAAmgqRs5oNMp9xqTdbrcj Go1Kcjg6OirdgtnZWUkimRyqsjpAmdRFOIaqV/bGG2/ImWJ3xWAwoKurS/N8vK/VyiqZ6MlkUvB6U1NT nygNMqAakO1qlUJ5qsI6s3in0yk4ElXJWzWOVGE5n22R7e1tdHV1CfV5dHQUHR0dUv4lJR4oO+uWlhbR ZqKD4e+fmJhAbW151Ifb7RbaOFBWnK9k4QGPy7eFQkFalFQwpyDjoUOHJFtLJpNYXFxENBrFyMgIfD4f zGYzYrGY5qLd3t5GKpXCzMyMMOJ4MMhWI0C8o6ND6Na8eBicsQXGzPCZZ55BfX09lpeX8eabb6JQKAiu wmazaUrPlbo+/LzESITDYczNzQGAZPSqDAQZqWzXGI1GHD58GJcuXdKwzBhEGY1GOJ1OwW/wsjxy5Age PXqE9fWyRhrJIbxACFQnnVxl1o2NjYk0BBXC6ewWFhY0s1GHh4exvLyMTCaDWCwmVSyr1YqnnnoKIyMj 0Ov1SKVS0rb2+Xyoq6vDU089hWKxKO+Te0IdhkyQOS+gSmOAQywWs1Z1CgIvJJfLheXlZYRCIbnAePHW 19fLEG8G+cQUccg229G8lImni0ajoiV28OBBLC8vCzOPwTNHOxEbydZdNBqVRIpB/G6VAXXiQWXAxmpt KBQSPBOlWriXWltbcevWLVlLGt85MZ2sHgHl9jrJHqxcFwrlebd2u12ER1kJunv3LuLxuAZXquo9Ucza YrFoWpu89NQEqq6uDn19feju7pa9zz1fW1uLhoYGmM1mnD17Fg8fPgQAwVYaDAa43W6kUqkdUw7IqKbk CPc1W5Cs/hNTRGZ3ZRuTiTCrKaxWMmlQgwOr1aoR/qU0RzabxczMDGZmZoRkwYCbezeRSODu3bt48OAB Tp06JX4vEolIZZj+1WKxyDnwer2YnZ2Fz+eTyi4TBgZnbIur8AUGKEyquYeBcsLA8+/1ejV/x7Y5A3K9 Xi8tRXVf72YM3El4YeBYCcdRv76/v1+gJRSpZUt8aWlJsJVMskgyY+WQ+42/T6fTCT5YJYBxD8/NzUnF jEGYw+HQsPBVn5TJZPDo0SNZCzI8uX/ot95v9vB+WDUg28XUihijaoJAs9msME1KpZJcyOvrj+ddcj7g vXv3cObMGQwPD2Nzc1NEMDc2NjA7Oysq2MlkUpw0s1GdTiel9vX1dcn+eIHya9RRH3T+lLrQ6/UakC/w eGArL3A6LtXhUriQwRRbp/l8XtorgUBAnoftolKphF/84hdYW1uT1ltDQ4NUCcm8KhaLiMViaGlpEWxW a2sr0uk0PB6PaJ0REEz6dCwW03wWj8eDZ599VsYAUdG+8nCpzB9VnoNVC7aY+Q4oephOp9HR0SHAcLKu /H4/xsfH5TMRV8MKJdskzc3NWFxclJZvOBwW4DgvhHw+Lz9XZV4xSKZ+F0ekED+o4n14cQMQBmZnZyfG xsakNep2uyV44RgttkUSiYSGrELKPQNUVk8KhYLg3XgRUOuMg8PZDuVeCYVCslcBCBtzZWVFZEjYsuJl RFkYTg5ge4SYpP7+fgBliRdWEZhAlEoleL1eOBwOac8Tp6Mag3vu4eeff14jlklLJBJ47bXXEA6HUVtb i7a2Npw7d26HHhQAwdFxvNZnP/tZuXguX74sIHvg8dxWnleyTbnvee55BrnXPB6PjDIi4J4/R6fTabBS ZE4C0Og9MfhTCS0AZCYgg2ieMe791dVVadETKuFwOHDw4EHMz8+LCOmxY8cAlEdOqT5UNWocBoNBbG9v y94hJo9MWAbAxH7RF1AKhNUUAFL5sNlsOHz4MG7cuKGRcQEg5J2rV6+KFBEDEO4ZBjqsBEejUZRKJVy/ fh0vvfQSHj16hGw2i3Q6rRkfRJLB0tIS7t69i1wuh0gkgtbW1h3McOLQiImlDMzg4KDAUmZnZ6WVx7Ye k18KtLJCRdYtK+NkrlYyG/cyvsepqSkJHFU4jmqLi4uaxDgSiQgOkOeSYtqEEXD/kvhQW1uLRCIhlbRS qYTFxUUcOHBgV9YjfTjb6olEAidPntzzcxEOw26B2kVR8XqVs4f3OyirBmQVls1mpfLFy0x9ad3d3UKD ZmWHWXdzczPu3bsnMxsp0Md2z+bmpmTyxCDR6XZ1dSGfz2NtbU2cJgMEjn7hxX3gwAGp+IyNjWF9fV2C MV4ODNKmp6dFakN18NPT04I1Y4ZaX1+P5uZmhEIhzMzMCCaJh0rFlI2Pj8NsNgtugBpZavafz+c1g2/p 4FieP3z4sIhaTk9Pw+12Y2pqCtvb24J94cVOhheDAr1ej/7+fqRSKfz85z8X50D2VuVg78HBQdy/f18m ATDLu3HjhrQ+nE6nDPsmzmR2dlZGpPA5GCirpXOj0ShEimQyiYmJCVH5LhaLIhVBB0tHzbJ7sVgU/Tdm 3Ax26+vrUSqV9dA4kkXNhLe2tmC1WjWBeCQSkfFIxOKxpUIwuM/n25FM8FnUihjX3mAwSODEveNyuaSN yMyUz3HkyBHRxYrFYvKMDPY5f+/u3bsyWuzIkSOawIhtJp5BJizAY9FUssQqkw8187158ybi8biMlrp1 6xay2azMiI3FYpqJE8y6g8EgFhYW5B1WZtW8KBjAqNp8AGTYMasEACQg1uv1OHz4sFzumUwGZrNZ9ApZ 7eEl5Ha78fLLL8uzra+XFeJVeQVW2W7evCnVWa/XK1pQ/Fm3b98WDCJQTtRSqZRUj3W68piwF154QfZ+ Y2PjBw5nrqurk0o8Lz5WtogzmpycFNZvsVjEc889h2QyKbMMWeFSJ3iwxVdbWyt+x2AwaKopDNw2Nzfx 8OFDqbJT71CtalKsl4l1qVTSrCP3PYMFoEw0uXXrlvj7SCSCuro6PP3001LJY6KlBpac18sAXVWz57lj xW1ychJnz55Fc3OzJEmcuBGNRqUzQK1MMqOZ3KVSKQlC2e6lnlmlriONTHkA8juJl9Pr9TtmPoZCIWl9 c9+T8MX33Nvbi2AwCKvVKoxP4gSJy1WnzHC9KvFgNIejPPQ+FAoJvnm3YJHnQsVy63Q6TRdFnSqgJg17 /byP06oBmWKJRAJzc3NIJpNSGtXpdKKPQiV2YrnU9sL29jbC4bBUOthiYFWHAGEqqxeLRbS2tkp14OHD h5KZst/O1sHU1BR8Pp+0eYLBIMxmM+bn52WeXWNjI44dO4ZsNotLly5he3sboVBI1Io5yzCfz0sQxCAC KDPpWIkhMLeurg6BQEDGzgAQ9tfa2hpaWlqkbM1ZampABjzO+IktYbWDwSMPKUci5XI5bG1tSQbMqg5n STY0NMDn80ngw+yVzoFSBKq2DwMIOmvichYXF8XBkVVoNptFAJT0+0KhsEPzh1UgVjbohFnZYsWxvr5e sB6qFYtFwd08//zzMJvNIrdB7SuCwU+dOoV0Oo2NjQ34fD6k02nEYjF4PB40NTVpgpBgMIjbt29Lm4v4 JQJv2b5gUMAL026348GDBxoWrjok2WQy4dChQ7h27ZrsSwKjHY7yhAuyJdluD4VCooK/uroqLTdWMtXK IFnLk5OTUvEAHrcsGJjduXNHsHfErxFTp46l4vcC5Yz+V7/6leCMjEajJBi8VG/fvi24rnv37uHs2bPo 6enRQAfY3laDw76+PhESZYBO9tovfvELmW3IdjcDikAggEAggM7OTg2Gi7McOdqH0ha8sNRKH1t7DHhO njyJubk5lEolxGIxqVrncjkcO3ZMzhLlJ3Q6nQDPGbioYqbEBbI7sFfbi4B3VYnd6SyPTtrY2EBXV5cw CZkM1NTUiMDr8PAwhoaGUF9fD6vVKqKzHLfFn0diC59dFRmlURQ5EomIVMLGxgYuXLgAm80ma0WcKTsU BoMBuVxOAzBnMsWRSalUSuRQAMiFPj8/jy9+8YsavN5//dd/SZUmmy2PPGNirJ5JrjVJXWpg4/f7ZcIE MYPspmQyGVitVrzwwgtYWFiQSuPW1pbgQdnOzWQyUg3W6XT44he/KEHZbkx5klfYwq6UeGpubpbzw/uP 3QYKyRaLRXR0dKCvr0+zbxKJhIaowYohCRvs/uxmnKnKyiY1/SpbjpWCs6qQuupTOINTlfbYb6sGZIqx 0gRAwNjU3aHT1+v1AsgulUqIx+Mym4+XJrFJbO8xYOCmoJREJBKRw87WCytfrMDwELrdbsRiMdEKYrtP dYTEZvDCZZuFvXu2DYiPovN1OsuDe4eGhhAOh3HlyhXJ3J5++mnBb/n9fszMzMisSGKs3G43amtrBbfA 38F1YJWNAUIul4PP50NXVxeGh4dlZhwverZeXC6XZFYqsDccDgst3+FwSNUsn388nJZVRGKFWL2jU1Kr g0D5wrRYLOjp6UFNTQ1u374tB1+v12uy683NTWk9Vxov7oWFBWE2ck+pptfrRaognU5jZWVFgNRk1NXV 1eHUqVMYGxsT7CI1qPL5PFwul7QweFnfuXNH8GncTxzr0tTUhImJCayvr8PlcuHAgQOSmY+NjYlMBllx vDhYQVheXsaLL74oumOsDhI8y8ufFTayEYlT5EQAZvx8Zp1Ot2ebhA5Xr9eLppPJZML29jaeffZZ+ZyV 4py0RCIhmmp1dXUiwkxpAL4vFVS8sbGB4eFhzM7Oor+/XxiKZCeTODE5OYl0Oi0Ad0o9+Hw+XLt2TQaE s+rFS4rg+Fgshng8vqPq5Pf7EY1GpZXGVg9xVfx8KlCe+FOLxQK32y2tZO51XjgE0LNySuiAyqTOZrNy PqhdRgyqWk3hRauKcRLb9/rrr8scy2g0inPnzuHs2bMIBoO4cuUKlpaWkM2Wx0ktLi4KG5wMZwrh8uJ1 OBwy2N3lckl7r1Jnqlgswuv1IhKJyOfkZZ/P52WPUYqFCSQTQybDOp0Op06dwsOHDzWzRUmcUMlJnPep ttDI3iXRgRIsPDMcLcTKHGfBut1u8TdcIw6MByAV+rq6Opw4cQKDg4NCfmFwwwoigyEKPDP4DIVCmiqr qnjPBLS9vR1zc3MazUhiyjjrdnZ2Fo2NjTCZTBJkVTIZK4N4Vro+RymkAAAgAElEQVTS6TQsFgu2t7dh s9mwvLwMq9WKyclJWK3WHVVYioXTJ5FoxsHklbjJvbTIVPuwX/dxWjUgU4wK8gyiCDQni8lkMiEUCsHj 8UiAQTwYW0BU2SYGgUGAy+VCa2sr7t27J4N+2Vsn6J9GhiPxKCxFq6B/Xvg+n29HhM/Dy4CIlyb/jFpQ bAM0NTUBKDv4hoYGaTEBwLVr18ThEy9DhlsgEEBXV5fQnFndIt6I8gmLi4twu92S+bF6RKOsBTNtAs4p C0KpAGZqbJ8BjwNY4nfoaNham5qaEswM15itOV4+fFfxeBw3btzQ4C96e3sxPDwsAdH29jYikcgOCjZB wCRU8Pvj8bgmA2Rmb7fbJfO9fPmy7BWXyyVVJK45A7WNjQ1pfefzeaHw8zI5evSoVBCYpfr9fgwODmJx cVGcJPfQ5cuXodPpMD4+LoxSrt3g4KBosvFyX19fR0dHh4hDqiX/SCSiUZhncBYMBpFIJHaok7MSx4Ce Wa3aJlEzdFYTVf06oCz0Gg6Hd5wBBg7j4+MCAWCViZifmpoaNDY2CoZJtVKphFAohL6+PnzpS1+Sdo/N ZsOlS5cEj8hKLQARBZ6dnZXKOBOu+vp6mEwmIc6w3aoyPmmqSDGFcUnu2NzclBaSKmvBPcWA2+EoTy/g pU9mH7GoPH8LCwsYGBhAb28vZmdncfToUWlb5nI5EQReXV1FMBhEMBiUgKyxsREnTpzYQXQgfo3tIgbK 7e3taGhogN/vlyCGATETAXYBWKkn8SiVSuH27duSKLjdbo3PTCQS0q5NJpMSiKmQDFa2jEajdDPoA5iA ejweeafUxGK7eWVlBQsLC1LlZKtap9MJXnR6ehr19fWiV8dqNqvD7JwwoWPwyTM5MDAgembJZFKmd+h0 Opw+fVpIXCaTSSrJLS0t8Hq94gvUKSUApKLFdSEWk3ceGZP0TTx/rNjT9xFiA0AqXIuLi+ju7pYq38rK CmZmZuT7KqV5AIgALZ/n4MGD8v4jkYiM0WIFmqx9+otisTzBhcPaKRiuJmN7SXao+4X7tXKW6H5aNSDb xZiFEE9AUC2BitPT0wLSVy/lpaUlEaIk8JKOZXl5WTSymIERlwY8nnMHlC+DhoYGaUGMj4/LQGRiwxwO B0wmk7Qi1AhfLZ1TjV0FvvKAsfJEJg4vMxWLlk6npfTP9eClks1mMTw8LEFUc3MzLBYLGhsb5bOrQ6NV fFttba0I/9lsNmm1AGUdJ4vFopHM6HhP94kCjDzMzGhbW1sxPT2NaDQqbEaVCs9KEVtwzz//PNrb26W9 RzwT6fRtbW1CeSdmhArk6pBdtvsMBgOOHTuGqakpaVPx2RnQci8FAgH4/X7cuXMH+Xx5wgBbm6urqyiV SpLxJpNJYV9xzdVglvpohUIB169flxY0q5EHDx5EV1cXurq6hA3X2NiIYDAowTMTAj5jsViUgIWBLL9m fHwcPT09aG9v15T8KbJ548YNSRwaGhowMzMj+101BrBMPAYHB0UUlQEw3xWxg3a7XSjyBoMBs7Oz6Onp 2ZHlkiXNC62np0emRnAyQkNDA7a3t9Hf3y8SIMQ3MhGjuHBfX58wEXm+GOzxTPBiNhqNWF5elkpFoVAQ lfjt7W309vZKBbZytp9qvFCcTqfmUpydnRWiyNmzZzE4OCh+ZWRkRHBQVDDn2S6VyvpaFJSlzc/P48c/ /rEEOkwmWcUjVkev1+POnTsCK+AeLRaLcLvdmgkewWBQfCNQxkuyA0ApDQCCjWR1kfvI7/cjFovBaDRi ZWUFv/71ryW4YlKmSuOorHgAMkuRe4itSJKqmFSpUiTUicvn8zKEmhWrRCIhe9DlciEQCCCbzcLj8Ygw KQD85Cc/kcC/s7MTL7zwAkKhkGjHkZDD9WUbVBX9vnHjhkz0YMvR6/Via2sLHo9HcGiV8hXHjh0T4WV+ blogEMAXv/jFXTFkDocDQ0NDEkg2NTWJ393c3JQ2Ie8FvV6Phw8fIpvNCmt9YWEBa2trWF5elgCc90s8 HtdUdemz1MquxWKRCitHclFvMZvNCkuXUjsWiwX379/XEFVIjvgwVqmi8EkA89OeaED2xhtv4K/+6q9Q KBTwZ3/2Z/i7v/s7zd/ncjl8/etfx61bt+DxePDjH/9YNvd+GFuWfLFso5CqTC0qKuGrdGSgjDk4duyY YLfIgCTOSG0jlUolUTy3WCyi4E7b2toSR0xnQCP+iIDSygifm+vOnTsoFsvjlgiU5uXF4IT/Vg/44OAg zp8/L1UNVqNYpQLKASQB+BSyZRWA1Qq2iEwmExoaGuSwA5D12dzclOCKsh5qJYutITqA3t5e2Gw2dHZ2 aqQLWPbn2nDkDZ02gxb+nrm5OVk3UtmZSadSKczPzwtYnu0sNWim8R2zqvjyyy9LxYR4PuLNnE4nzGYz Dhw4gHfeeUcydtLg+fPonOmwWEVVg2IV3K4GiJXPNT09jYWFBZw5c0ZTTSIZgJnxiy++CJPJhFgshps3 b0q7jTIH1DTT6/UYHR1FQ0ODiDeqOCG2Xpubm+H3+4VNbDKZpDIGPGYZsnpLIPjo6KgEHBsbGyIUq44W 48+jlhlbMWpLiUHJ2toaVldX4Xa78elPf1qYm5UEAV68lNjIZDKora0VUocqKnv27FlN5s7EZ3p6GlNT U+IP2BJlBYJkGL4fttY/yPr6+uS/VRAyg8JQKCTkF8qX1NTU4NChQzIHUJWMsFgsGqzrysqKPCdQTpiY 6PD8sA3Ks8nPWIl74r9ZyWBScunSJbS3twtOjr7n5s2b+NSnPiXfq9frJcDk81IrjhcvgzN1NBorLOvr 62hoaEA0GhW/4vf74fF4pLvB7oLqm5kcNDc34+bNmyJPtLKyIhc/14ZBIf9ucnJS1OSZ/CUSCRQKBRw8 eFAS+FKpJKOrGMDzfPE5+P1qZU/VllQrP2qVp6WlBePj49JdqQxOiFmsNHVuMMW5k8mkSGjE43HZA4cO HZKKdSgUEjHotbU1CeBZMFATw0rbrbLrcrkQDodFX43nRQ0wVVA/Eyh1MLmqwfd+VrlfPglgftoTC8gK hQL+/M//HG+++SYCgQCeeeYZfO5zn9M4l3//93+Hy+XC1NQUfvSjH+Fv//Zv8eMf//hJPdIHGoGkjx49 ElA3nS6zIapLA5CAQwXc9vT0oKenRwDIiURCwLFUMgfKDo5MTGI9uHmLxbIsBMUSeZgpQ6Cya95++23p x6v9enXTLS0t4erVq+jv75e5m5VGQgODhvr6esFIkQlosVhENZ0ZXqFQEMB9LpfD6dOnYTabhUlE9iU/ I6tlNptNyu91dXWi8F4qlUVTyVpSpSpisRjOnz8vAQgHGxNQXldXJzizjY0NmW/HS4QBDZ0GsVlsW6lt SVKs1UyWVR4GE8Bj7BkxTHQcNOKzwuGwtGRIWeeFRYA8q1B00sTe2Ww2aW+oY5ZYeSKYXBUNZiWWyvb/ 8z//g4GBAcG88HIAIEKO/PkMbLlWbH3ZbDZEo1GZGahKpczOzuLll1/GuXPn8Pbbb8slS6Fevt/19XWR bxgYGJB9C5SZfmtra8LCZADk8XjgdJZn+9XV1QkjkW1Sti3q6urw/PPPo6mpSSoMnDvY29srF5LK3JyY mBD2JTWhWNlqbW1FsVjcISpLB16Z+LAV6XK5RDKlv78foVBIKtxMaLxeL8LhMCYmJhAKhXbN0t9PD1EF p3MmJ5XRGVzQF1VWywcGBqTtyn1cU1MjmFCn0ymjn4gnZNWIFR7uO7bRM5mMrAM191TZDTUZVVu0U1NT UtVUx5YBEIyRulfVebzqaDR1XaiLpVZ9WFXntAsGPiaTCZ/61Kdkj/F9qmO8mNwQlkKxWzU4pk+ib2b1 jYkPgxoAQqbi3zkcDg0BgMFQc3MzDhw4IPIdw8PD0v4jGJ9QmqGhoR0+Xd1He+Gk1HsiEong/v37SCQS og5Af+12uyXob2xslBFmZFTz85BxzmkVDLhUpmZlYeDy5csC+9HpdOjt7ZVh8cQ1skWvwofUwL4yYeIa qdjfSmb0JwnMT3tiAdn169fR3d0tGeDXvvY1vPbaa5rL6rXXXsN3v/tdAMCXv/xl/MVf/IUc9v0wXnbM nguFgjgzAiVraspDV4kRKRQK8Hg8MJvNeOmllzRlZLvdjgsXLogzYbZGx60eWjWT4OdXafKskvHv+PXR aBQXL15EbW0t/H4/Xn31VY0K8tTUFCKRCKLRKILBIM6dO6cRAa3UJ6Pjp2Ph72K7QNU+YibOauHKygqu X7+Oz3/+83A6nRgdHRXMDz8v5w2yHdXY2AiDwYDe3l6hQy8uLqKrq2vHfDtWC1VsXDqdxuLiolwEPORs 06VSKQmKidswGo3C+mPQSfwZQcjUi1Jn/PEzqP+vzgrk+6S+EwCNfAIz9u7uboyNjUkwwzYhA0aqtnPW pNlsRlNTk2ZoNd+L0WiEx+ORNgerIcePH8f8/LyQUUKhkAwwJ9aNVat4PI5IJCIBs/ruuf/IuLRardJm ZXuGlyxBv6rjJxaKTpPYkEoVcOITm5qaZDCx0WjE1taWTLQYGhqSZ2Erk5U8Bs8jIyNwuVwSYKtzB61W q/xOJjusojEQZavdZDJhbm4Ofr9fIypLLB/f8dLSklQUWE2luCkTIJvNhvn5ecFa1tXVaRKNvSj8lZdl KBTSEAAACMZPpysLSJMEoyZnqVQKFy5ckMvrS1/6Es6ePYvz58/LZdrY2Cg4JavViosXL8oF6fV6USqV h4Kz5en1egFAzjGlEpiYdHV1Ccuc/oKJjiqlAGDXFjNQnsDBEUBbW1uSCBBLpI5GqxTrZdubVb9sNov2 9nYhrtDnNjQ0iMgo7dixY4jH4+JneIHncjnxJWpwTNwaAefEa42MjAg0hVphBPmzWkwcsNPplCSYoq/9 /f24du0aYrGYFAvY/ltaWtKMgJqent7BdFXb93u159TgJJ/Pi47jwsKCBFgMTinMur6+LhI2JHgZjUYh WJ0+fVr02DY3NwXWov5+VfCV5AtCYZgg7Sax0t7ejsOHD2v+TJ1KwM+u3mms1qnPoAaEH7ay9nHYEwvI lpaWJJMAyhfTtWvX9vya2tpaOBwOxGIxOez7YWxpUY8IKKtcc+NRQJJZ415ipEDZWRGjw8urrq5OxrtQ PoF4H5PJJJuGLBwA0vJbWVmBx+PR4K1YKSNOrbJfz4zcarUinU7jypUr0lry+XwwmUzo7u7WbOhCoYCj R4/i0qVLUg0ixojyFcTOWa1WIUEAEEHL9vZ2nDlzBm+99ZZgqqihRYaUOr7I4/FIlqqCgCl5wMD4jTfe kFYfM2j+t9frRVNTk1yEBHTz60ym8lxAj8cjwq5kwJI9qrbVaAxSVJo6AymLxYIzZ85IK4zK5Krjq8RM eDwenDp1CsPDw5LxqVl0IBCQUVzETp04cUIudQYbaiZKsc729nZ0dXUhEAjg8uXLCIfDUlnlfuG7s1gs 8vtJ6QfKjolrXFNTIwE85SJIKlCB08QF0rnR1EqSOj+v8qzwYshms8Iy5EVONiqV4elIL1y4IAkcz5HP 55NWlspM4/gkgvJJFADKoGcqzzPwaG5uxtbWluDHAAiGZWxsTHAtDIji8Tj8fj/+4A/+QGYx7tYiqqur w9DQkEb0dq8snWvyftIe586d28F6rLTp6WmpZGWz5XmIHR0daG1tFa2znp4e0Wqam5vbMTWBLUz6LwbW DML4dTzPXV1dAuwHylXYvr4+NDc3a6oZTGYqW8x2u12ex+/34+rVq1K1I/aRldXKfTY+Pi7BCsc0pdNp xONxkWVgMMdgRF23np4ezQi2oaEhqXKqlXDuRTIqidmzWq3id5nEuVwu2Gw2tLa24tq1a5pz09HRIXgp VqA5YkmdDMJEjKbeAfX19VIRUvfTB7XnKqtVw8PDmJubw9bWliQWQLldyeRCDXy591SlflVSQg2yd0s8 nE6nSEqx2/DUU0/tKtIMlM9yJURnt4qX+rmJX1SDVf6MTxqW7H8FqP8HP/gBfvCDHwAoawq98847T+T3 sLVCzabV1VWppHDW18TEhEZXSqXL7/bz4vG4lHPZcmFrqK6uTrAcer1egyUgfR14XHLO5/PSniSejZgr Hs6xsTFEIhGsr6/LoGsqQ7PNsL29jY2NDRlozOfk5f3gwQMAkFI6QagqU8hisQgQlpg6oFx5ePDgAWZm ZgBAxvIAECweRQF5QRgMBqnmqM/An6FaZ2cn4vG4tPnI7COmoKmpCVNTU1IZZJuF5XOycSgnwJYU3zGx ZqqpWjlqy7i2thb19fUCbCd+I5vN4u233xanxfVl8MD1ra+vl0uNrUpm17xE+Pvn5+cFQ8OvJd6tpqZG hC7j8bjm86vVV/UzqAEZ9ezYmm5qapJAf21tTTMzr6WlRbJ8DshmqzQej+PBgwfI5/O/1RnlfmhsbITD 4UA8HtewsR48eCBBFlC+BDj5oFgsChCYFxdbLHTUHNsUDoeFTLC1tQWv1ytC0Lzwo9GorDvZXEBZjZ/n hu/IYrHI3L5wOAwA8g4AaPbG6uoqbt68KRcR9//IyMiea8IZq5ubm1hbW9PsLdXYCq80yjawwkz9PXVP cpg7AAlWeRa5H0h04RBushVZoePXGQwGTE1NCYub1fi1tTXN+mez5fmbDx48EPIN24OVa6LufbIs91oz 9dzTL7F6SYV4VsCLxeKuvob6XyaTSYhQ8XhcPqu6F/n7mBQQS0ZiAtfFbrdjeXlZU2XX6/VYXV2V9ww8 xqoykVVZ3PPz81LFZQDIu0r1p3u9y738Ko1nR2WLF4tFjI+Pv+9Q7sq9t76+LrJLm5ubgrPb7fe7XC6p oLLdv9e7TafTu/qWys+ufm5+pomJCc0a8Bl389n7ZU8sIGtpacHCwoL8/+LioiajUb8mEAggn88LqLbS vvWtb+Fb3/oWgPKQ1BdffPFJPTYAaEqii4uL+PnPfy5ZyIsvvrhr5ruX7dW/ZymZs+3UMi+AHWJ6lUB8 luRZkmW1SsUYMPp3OByij0SA/Pb2Ntxut+i3ANjxnM8++6z83v/8z/+E3W6HXq/HsWPH5PmIZWDZWVUS /03t/bAOe309qx27tcEqcRZ74S/6+/tFOJEzFcl29Pv9OHnypOjORaNRkfNwOp34/Oc/r3mWvbKt3T6b +l7VFgvV03fbC1TcZmV2L/xE5efnPiFmTX1PiURCFNJZXVOfe68KTOW+5Gd75513PrIz+kF7QlUgr8ze WVVVK1bqeyI7cK9zVsnarDw3VDX/oAyb38/n/E0z8d+VFZZIJPD6668jnU7DarUKrOH91vbDnsUP+rrK v6/8LAaDAZ/5zGc+1O97P7X5yt/Jfc+qntquAnY/Wx9k7+fL1XPW3t4uieheX7ubv1RFWjOZDAKBgFRT d3vWj+odVX4t7yVO3dDr9b/Vvcf37HQ6dwjE/rb2m/iWvTBk6nn/pFXIdKXdaBAfgVHD6a233kJLSwue eeYZ/Md//AeOHDkiX/P9738f9+7dw7/927/hRz/6EX72s5/hJz/5yfv+3BMnTuDmzZtP4pEB7P7CP6wj +E3tNw1A9vpeYOdm2+vn73XpfJC98cYbO3r3H8Xn+F3tN70Q9vrzyou90mHvtm4jIyOavfJRvc+P8ns/ zD75qO2jDMiehP02a/1+wdqHvRRJdvht1v53PWP7eUbf71kqz9CT+B3Ak9/3v2nQ837ndWlpCWNjY3jl lVf25V3x+SqTmd/253yU6/5R+5aP61x82LjliVXIamtr8S//8i945ZVXUCgU8M1vfhNHjhzB3//93+PE iRP43Oc+hz/90z/FH//xH6O7uxtutxs/+tGPntTj/E62F2X4dzUV9/C7fu9uP2e3n//b/s7deve/68/8 KOyDfvdef1/555Xv+LdZt4/yfX5U3/th9snvm/02a/1h99H7ff/v4vR/1zO2n2e00j6OZ/m49/1v8pk+ zHmNRCKfWJ/6cf+cJ2mftGd8ohiyV199Fa+++qrmz/7hH/5B/ttkMuGnP/3pk3yEqlWtalWrWtWqVrVP vNXs9wNUrWpVq1rVqla1qv2+WzUgq1rVqla1qlWtalXbZ6sGZFWrWtWqVrWqVa1q+2zVgKxqVata1apW tapVbZ+tGpBVrWpVq1rVqla1qu2zVQOyqlWtalWrWtWqVrV9tmpAVrWqVa1qVata1aq2z1YNyKpWtapV rWpVq1rV9tmqAVnVqla1qlWtalWr2j5bNSCrWtWqVrWqVa1qVdtne2LDxZ+Ueb1edHR0PLGfH41G0dDQ 8MR+/v9Wq67LTquuye5WXZfdrbouO626JrtbdV12t/+t6zI7O4vV1dUP/Lr/dQHZk7YPO5X9982q67LT qmuyu1XXZXerrstOq67J7lZdl93t//q6VFuWVata1apWtapVrWr7bNWArGpVq1rVqla1qlVtn03/3e9+ 97v7/RCfNHv66af3+xE+kVZdl51WXZPdrbouu1t1XXZadU12t+q67G7/l9eliiGrWtWqVrWqVa1qVdtn q7Ysq1a1qlWtalWrWtX22aoBmWJvvPEGDh48iO7ubvzjP/7jfj/OvllHRweOHj2K48eP48SJEwCAtbU1 nDt3Dj09PTh37hzi8fg+P+WTt29+85tobGxEf3+//Nle61AqlfCXf/mX6O7uxsDAAG7fvr1fj/3Ebbd1 +e53v4uWlhYcP34cx48fx+uvvy5/973vfQ/d3d04ePAgLly4sB+P/MRtYWEBn/rUp9DX14cjR47gn//5 nwFU98te6/L7vF+y2SxOnjyJY8eO4ciRI/jOd74DAJiZmcGpU6fQ3d2Nr371q9ja2gIA5HI5fPWrX0V3 dzdOnTqF2dnZfXz6J2d7rcuf/MmfoLOzU/bK6OgogP+jZ6hUtVKpVCrl8/nSgQMHStPT06VcLlcaGBgo 3b9/f78fa1+svb29FI1GNX/213/916Xvfe97pVKpVPre975X+pu/+Zv9eLSP1S5dulS6detW6ciRI/Jn e63D+fPnS5/5zGdKxWKxdPXq1dLJkyf35Zk/DtttXb7zne+U/umf/mnH196/f780MDBQymazpUePHpUO HDhQyufzH+fjfiwWCoVKt27dKpVKpVIymSz19PSU7t+//3u/X/Zal9/n/VIsFkupVKpUKpVKW1tbpZMn T5auXr1a+spXvlL64Q9/WCqVSqVvf/vbpX/9138tlUql0ve///3St7/97VKpVCr98Ic/LP3RH/3R/jz4 E7a91uUb3/hG6ac//emOr/+/eIaqFbL37Pr16+ju7saBAwdgMBjwta99Da+99tp+P9Ynxl577TV84xvf AAB84xvfwC9+8Yt9fqInb2fOnIHb7db82V7r8Nprr+HrX/86dDodhoaGsL6+juXl5Y/9mT8O221d9rLX XnsNX/va12A0GtHZ2Ynu7m5cv379CT/hx29+vx+Dg4MAAJvNhsOHD2Npaen3fr/stS572e/DftHpdLBa rQCA/9/e/cdUVf9xHH/euI5hU9nSq3fUH4FZKNxL6Y1m0eC6+od1S6AyrpJQbv3SrVqtrZaZlrp+rJlt LS2lYrtrbFkKVs6ioGyw9Eq2kYwkJR0rmHBJsAt8vn8Y5wsh+tWvdID7emxs997zuZ/zvu+9792bc869 n2g0SjQaxeFw8OWXX1JQUAAMr5WBGiooKGDv3r2YCXjp90h5GclEfA+pIfvbb7/9xlVXXWXdv/LKK8/5 wTGRORwObr/9dubPn88777wDQGtrK263G4BZs2bR2tpqZ4i2GSkPqh/YvHkzHo+HkpIS69RcLOalubmZ AwcOkJmZqXoZZHBeILbrpa+vj4yMDFwuF7fddhspKSkkJibidDqBoa97cE6cTifTpk2jra3NtthH0z/z MlArzz77LB6Ph8cff5zTp08DE7NW1JDJMDU1Nezfv5/du3fz1ltv8c033wzZ7nA4zvmfS6xQHv7r4Ycf pqmpiXA4jNvt5sknn7Q7JFt0dXWRn5/PG2+8wdSpU4dsi+V6+WdeYr1e4uLiCIfDtLS0UFtbS0NDg90h jQn/zMuhQ4dYv349DQ0N1NXV0d7ezsaNG+0Oc9SoIftbUlISx44ds+63tLSQlJRkY0T2GXjdLpeLxYsX U1tby8yZM63DwSdOnMDlctkZom1GykOs18/MmTOJi4vjsssuY8WKFdZppljKSzQaJT8/n2AwSF5eHqB6 gZHzEuv1ApCYmEhOTg779u3j5MmT9Pb2AkNf9+Cc9Pb20tHRwRVXXGFbzP+Ggbx89tlnuN1uHA4H8fHx FBcXT+haUUP2N5/PR2NjI0eOHOGvv/4iFAoRCATsDutf9+effxKJRKzbX3zxBWlpaQQCAUpLSwEoLS3l zjvvtDNM24yUh0AgwPvvv48xhu+//55p06ZZp6piweBrNz7++GPrG5iBQIBQKMTp06c5cuQIjY2N3Hjj jXaFOWqMMTzwwAOkpqbyxBNPWI/Her2MlJdYrpfff/+dkydPAtDd3c2ePXtITU0lJyeH8vJyYHitDNRQ eXk5fr9/Qh5pPVterrvuOqtWjDHs2LFjSK1MuPeQjV8oGHMqKirMNddcY5KTk826devsDscWTU1NxuPx GI/HY+bOnWvl4Y8//jB+v9/Mnj3bLFq0yLS1tdkc6ehbsmSJmTVrlnE6nSYpKcls3bp1xDz09/ebRx55 xCQnJ5u0tDRTV1dnc/Sj52x5Wbp0qUlLSzPp6enmjjvuMMePH7fGr1u3ziQnJ5s5c+aYyspKGyMfPdXV 1QYw6enpxuv1Gq/XayoqKmK+XkbKSyzXy8GDB01GRoZJT0838+bNM2vWrDHGnPns9fl8JiUlxRQUFJie nh5jjDHd3d2moKDApKSkGJ/PZ5qamuwMf9SMlJecnByTlpZm5s2bZ4LBoPVNzIn4HtIv9YuIiIjYTKcs RURERGymhkxERETEZmrIRERERGymhuWkhScAAATISURBVExERETEZmrIRERERGymhkxEbDOwdt2A7du3 89hjj13QHJ9++ikbNmy4lGENYYzB7/fT2dk5bNsLL7zAq6++esn2tWvXLp5//vlLNp+IjB9qyERk3Ort 7SUQCPDMM8+M2j4qKyvxer3DlkIaDbm5uezcuZNTp06N+r5EZGxRQyYiY1JzczN+vx+Px8OiRYs4evQo AMuXL+ehhx4iMzOTp59+eshRtYyMDOsvISGBr7/+mvb2du666y48Hg833XQT9fX1wJmjWyUlJWRnZ5Oc nMymTZvOGkdZWdmQlSleeukl5syZwy233MLPP/9sPb5lyxZ8Ph9er5f8/HxOnTpFJBLh6quvJhqNAtDZ 2Wnd37RpE3PnzsXj8bBkyRLgzHqX2dnZ7Nq169InVETGNDVkImKb7u7uIU3U4NN1K1eu5P7776e+vp5g MMiqVausbS0tLXz33Xe8/vrrQ+YLh8OEw2HWrl3LggULWLhwIatXr+b666+nvr6el19+maKiImt8Q0MD n3/+ObW1taxZs8ZqnAb79ttvmT9/PgA//PADoVCIcDhMZWUldXV11ri8vDzq6uo4ePAgqampvPvuu0yZ MoXs7GwqKioACIVC5OXlMWnSJDZs2MCBAweor6/n7bfftuZZsGAB1dXV/2dmRWS8UUMmIrZJSEiwmqhw OMyLL75obdu3bx+FhYUALFu2jJqaGmvb3XffTVxc3FnnbGxs5KmnnuKjjz5i0qRJ1NTUsGzZMgD8fj9t bW3W9WC5ubnEx8czffp0XC4Xra2tw+Zrb29nypQpAFRXV7N48WImT57M1KlTh6x3e+jQIbKyskhPT6es rIyffvoJgAcffJBt27YBsG3bNoqLiwHweDwEg0E+/PBDnE6nNY/L5eL48eMXmEkRGe/UkInIuHP55Zef 9fGuri7uuecetmzZ8j8tNBwfH2/djouLo7e3d9gYp9NJf3//eedavnw5mzdv5scff2T16tX09PQAcPPN N9Pc3ExVVRV9fX3W4sgVFRU8+uij7N+/H5/PZ+27p6eHhISE8+5PRCYWNWQiMiYtXLiQUCgEnLmOKysr 67zPKSkpobi4eMjYrKwsysrKAKiqqmL69OkXdIH+tddeyy+//ALArbfeyo4dO+ju7iYSibBz505rXCQS we12E41Grf0NKCoqorCw0Do61t/fz7Fjx8jJyWHjxo10dHTQ1dUFwOHDh62mTURih/P8Q0RE/n1vvvkm xcXFvPLKK8yYMcM67TeSX3/9lfLycg4fPsx7770HwNatW62L9z0eD5MnT6a0tPSC4sjNzaWqqorZs2dz ww03cO+99+L1enG5XPh8Pmvc2rVryczMZMaMGWRmZhKJRKxtwWCQ5557jvvuuw+Avr4+li5dSkdHB8YY Vq1aRWJiIgBfffUV69evv6AYRWT8cxhjjN1BiIiMVSdOnKCoqIg9e/Zc9Bzl5eV88sknfPDBB+cc19ra SmFhIXv37r3ofYnI+KQjZCIi5+B2u1mxYgWdnZ0X9VtkK1euZPfu3VRWVp537NGjR3nttdcuJkwRGed0 hExERETEZrqoX0RERMRmashEREREbKaGTERERMRmashEREREbKaGTERERMRmashEREREbPYflQj3tzSW KMMAAAAASUVORK5CYII=\n", "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmEAAAFzCAYAAAB2A95GAAAAOXRFWHRTb2Z0 d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAA CXBIWXMAAAsTAAALEwEAmpwYAADkUklEQVR4nOy9aZBk13UeeDIr82UtWfu+9lbdje4GSBDoJgCJpEBh JEiQ1TI9sgVJtjji0LBlOESHYmzRYZvWIOShIuSgRwoobMOSTTtoCnJYGoO2REigpCYpEQsBEGuj0dVL 7fteWZVVLysr58fRl+e+m+/lUl3ZmdU4X0RHdVW+fO++u5z73bOGMplMhhQKhUKhUCgUtxXhSjdAoVAo FAqF4oMIJWEKhUKhUCgUFYCSMIVCoVAoFIoKQEmYQqFQKBQKRQWgJEyhUCgUCoWiAlASplAoFAqFQlEB RCrdgFLR0dFBR48eLdv9Nzc3qaGhoWz3P6zQfsmF9ok/tF/8of2SC+0Tf2i/+OOw9svo6CgtLi76fnbo SNjRo0fp1VdfLdv9L126RA8//HDZ7n9Yof2SC+0Tf2i/+EP7JRfaJ/7QfvHHYe2X8+fPB36m5kiFQqFQ KBSKCkBJmEKhUCgUCkUFoCRMoVAoFAqFogJQEqZQKBQKhUJRASgJUygUCoVCoagAlIQpFAqFQqFQVABK whQKhUKhUCgqACVhCoVCoVAoFBWAkjCFQqFQKBSKCkBJmEKhUCgUCkUFoCRMoahyuC5RIsE/FQqFQnHn 4NDVjlQoPkhwXaKxMaJMhigUIjpyhMhxKt0qhUKhUBwEVBOmUFQxXJcJWDzOP1UbplAoFHcOlIQpFFUM x2ENWCLBP1ULplAoFHcO1BypUFQxHIdNkK7L/1cSplAoFHcOlIQpFFUOJV8KhUJxZ0LNkQqFQqFQKBQV gJIwhUKhUCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaICUBKmUCgUCoVCUQEoCVMoFAqFQqGoAJSEKRQK hUKhUFQASsIUCoVCoVAoKgAlYQqFQqFQKBQVgJIwhUKhUCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaIC UBKmUCgUCoVCUQEoCVMoFAqFQqGoAJSEKRQKhUKhUFQASsIUCoVCoVAoKgAlYQqFQqFQKBQVgJIwhUKh UCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaICKCsJe/755+n06dM0PDxMv/Zrv+Z7zX/7b/+Nzp49S+fO naOf+ZmfKWdzFAqFQqFQKKoGkXLdOJ1O05NPPkkvvPACDQwM0IULF+jixYt09uzZ7DUjIyP0xS9+kf7y L/+SWltbaX5+vlzNUSgUCoVCoagqlE0T9sorr9Dw8DAdP36cHMehxx9/nJ577jnPNf/hP/wHevLJJ6m1 tZWIiLq6usrVHIVCoVAoFIqqQtlI2NTUFA0ODmZ/HxgYoKmpKc81V69epatXr9L3f//304MPPkjPP/98 uZqjUCgUCoVCUVUomzmyGOzu7tLIyAhdunSJJicn6ROf+AS9/fbb1NLS4rnumWeeoWeeeYaIiCYnJ+nS pUtla1MikSjr/Q8rtF9yoX3iD+0Xf2i/5EL7xB/aL/64E/ulbCSsv7+fJiYmsr9PTk5Sf3+/55qBgQF6 4IEHKBqN0rFjx+jUqVM0MjJCFy5c8Fz3xBNP0BNPPEFEROfPn6eHH364XM2mS5culfX+hxXaL7nQPvGH 9os/tF9yoX3iD+0Xf9yJ/VI2c+SFCxdoZGSEbt68Sa7r0rPPPksXL170XPPX//pfz7LaxcVFunr1Kh0/ frxcTVIoDhVclyiR4J8KhUKhuPNQNk1YJBKhp59+mh599FFKp9P0mc98hs6dO0df+MIX6Pz583Tx4kV6 9NFH6U/+5E/o7NmzVFNTQ7/+679O7e3t5WqSQnFo4LpEY2NEmQxRKER05AiR41S6VQqFQqE4SJTVJ+yx xx6jxx57zPO3p556Kvv/UChEX/rSl+hLX/pSOZuhUBw6uC4TsHhctGFKwhQKheLOgmbMVyiqEI7DGrBE gn8qAVMoFIo7DxWNjlQoFP5wHDZBQgOmJEyhUCjuPCgJUyiqFEq+FAqF4s6GmiMVCoVCoVAoKgAlYQqF QqFQKBQVgJIwhUKhUCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaICUBKmUCgUCoVCUQEoCVMoFAqFQqGo AJSEKRQKhUKhUFQASsIUCoVCoVAoKgAlYQqFQqFQKBQVgJIwhUKhUCgUigpASZhCoVAoFApFBaAkTKFQ KBQKhaICUBKmUCgUCoVCUQEoCVMoFAqFQqGoAJSEKRQKhUKhUFQASsIUCoVCoVAoKgAlYQqFQqFQKBQV gJIwhUKhUCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaICUBKmUCgUCoVCUQEoCVMoFAqFQqGoAJSEKRQK hUKhUFQASsIUCoVCoVAoKgAlYQqFQqFQKBQVgJIwhUKhUCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaIC UBKmUCgUCoVCUQEoCVMoFAqFQqGoAJSEKRQKhUKhUFQASsIUCoVCoVAoKoCykrDnn3+eTp8+TcPDw/Rr v/ZrOZ9/+ctfps7OTrr33nvp3nvvpd/+7d8uZ3MUCoVCoVAoqgaRct04nU7Tk08+SS+88AINDAzQhQsX 6OLFi3T27FnPdT/1Uz9FTz/9dLmaoVAoFAqFQlGVKJsm7JVXXqHh4WE6fvw4OY5Djz/+OD333HPlepxC oVAoFArFoULZNGFTU1M0ODiY/X1gYIBefvnlnOt+//d/n771rW/RqVOn6N/8m3/j+Q7wzDPP0DPPPENE RJOTk3Tp0qVyNZsSiURZ739Yof2SC+0Tf2i/+EP7JRfaJ/7QfvHHndgvZSNhxeDHf/zH6ad/+qcpFovR v//3/54+/elP05/92Z/lXPfEE0/QE088QURE58+fp4cffrhsbbp06VJZ739Yof2SC+0Tf2i/+EP7JRfa J/7QfvHHndgvZTNH9vf308TERPb3yclJ6u/v91zT3t5OsViMiIg++9nP0muvvVau5igUCoVCoVBUFcpG wi5cuEAjIyN08+ZNcl2Xnn32Wbp48aLnmpmZmez/v/a1r9GZM2fK1RyFQqFQKBSKqkLZzJGRSISefvpp evTRRymdTtNnPvMZOnfuHH3hC1+g8+fP08WLF+k3f/M36Wtf+xpFIhFqa2ujL3/5y+VqjkKhUCgUCkVV oaw+YY899hg99thjnr899dRT2f9/8YtfpC9+8YvlbIJCcSjhuvzPcfifQqFQKO48VNQxX6FQ5MJ1icbG iDIZolCI6MgRJWIKhUJxJ0LLFikUVQbXZQIWj/NP1610ixQKhUJRDigJUyiqDI7DGrBEgn+qFkyhUCju TKg5UqGoMjgOmyDVJ0yhUCjubCgJUyiqEEq+FAqF4s6HmiMVCoVCoVAoKgAlYQqFQqFQKBQVgJIwhUKh UCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaICUBKmUCgUCoVCUQEoCVMoFAqFQqGoAJSEKRQKhUKhUFQA SsIUCoVCoVAoKgAlYQqFQqFQKBQVgJIwhUKhUCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaICUBKmUCgU CoVCUQEoCVMoFAqFQqGoAJSEKRQKhUKhUFQASsIUCoVCoVAoKgAlYQqFQqFQKBQVgJIwhUKhUCgUigpA SZhCoVAoFApFBaAkTKFQKBQKhaICUBKmUCgUCoVCUQEoCVMoFAqFQqGoAJSEKRQKhUKhUFQASsIUCoVC oVAoKgAlYQqFQqFQKBQVgJIwhUKhUCgUigpASZhCoVAoFApFBaAkTKFQKBQKhaICUBKmUCgUCoVCUQEo CVMoFAqFQqGoAMpKwp5//nk6ffo0DQ8P06/92q8FXvf7v//7FAqF6NVXXy1ncxQKhUKhUCiqBmUjYel0 mp588kn6+te/TpcvX6bf/d3fpcuXL+dct7GxQb/xG79BDzzwQLmaolAoFAqFQlF1KBsJe+WVV2h4eJiO Hz9OjuPQ448/Ts8991zOdf/iX/wL+uVf/mWqra0tV1MUCoVCoVAoqg6Rct14amqKBgcHs78PDAzQyy+/ 7Lnm9ddfp4mJCfqxH/sx+vVf//XAez3zzDP0zDPPEBHR5OQkXbp0qSxtJiJKJBJlvf9hhfZLLrRP/KH9 4g/tl1xon/hD+8Ufd2K/lI2EFcLe3h790i/9En35y18ueO0TTzxBTzzxBBERnT9/nh5++OGytevSpUtl vf9hhfZLLrRP/KH94g/tl1xon/hD+8Ufd2K/lM0c2d/fTxMTE9nfJycnqb+/P/v7xsYGvfPOO/Twww/T 0aNH6aWXXqKLFy+qc75CoVAoFIoPBMpGwi5cuEAjIyN08+ZNcl2Xnn32Wbp48WL28+bmZlpcXKTR0VEa HR2lBx98kL72ta/R+fPny9UkheIDDdclSiT4p0KhUCgqj7KRsEgkQk8//TQ9+uijdObMGfpbf+tv0blz 5+gLX/gCfe1rXyvXYxUKhQ9cl2hsjGh6mn8qEVMoFIrKo6w+YY899hg99thjnr899dRTvtfeac52CkU1 wXWJMhmieFy0YY5T6VYpFArFBxuaMV+h+ADAcYhCISZgoZASMIVCoagGVCw6UqFQ3D44DtGRI6IBUxKm UCgUlYeSMIXiAwIlXwqFQlFdUHOkQqFQKBQKRQWgJEyhUCgUCoWiAlASplAoFAqFQlEBKAlTKBQKhUKh qACUhCkUCoVCoVBUAErCFAqFQqFQKCoAJWEKhUKhUCgUFYCSMIVCoVAoFIoKQEmYQqFQKBQKRQWgJEyh UCgUCoWiAlASplAoFAqFQlEBFEXCMpkMfeUrX6GnnnqKiIjGx8fplVdeKWvDFAqFQqFQHAxclyiR4J+K 6kFRJOwf/IN/QC+++CL97u/+LhERNTY20pNPPlnWhikUCoEKUIVCsV+4LtHYGNH0NP9UOVI9iBRz0csv v0yvv/46feQjHyEiotbWVnJ1FBWK2wII0EyGKBQiOnKEyHEq3SqFQnFY4LosP+JxOcypDKkOFKUJi0aj lE6nKRQKERHRwsIChcPqTqZQ3A6YAjST0VOsQqEoDY7DB7hEgn8qAaseFKUJ+8Vf/EX61Kc+RXNzc/TP /tk/o//+3/87/eqv/mq526ZQKEgFqEKhuDU4DmvQoQFTGVI9KIqE/ezP/izdf//99Kd/+qdERPQ//sf/ oDNnzpS1YQqFgqECVKFQ3CpUdlQniiJhRERbW1tZk2QymSxnmxQKhQUVoAqFQnHnoSjHrqeeeoo+/elP 0/LyMi0uLtLP//zPqzlSobhDoJGXCoXiMOMwy7CiNGH/9b/+V3rzzTeptraWiIg+//nP07333kv//J// 87I2TqFQlBcaealQKA4zDrsMK0oT1tfXR9vb29nfd3Z2qL+/v2yNUigUtwcaealQKA4zDrsMK0oT1tzc TOfOnaMf+qEfolAoRC+88AJ99KMfpV/8xV8kIqLf/M3fLGsjFQpFeaCRlwqF4jDjsMuwokjYpz71KfrU pz6V/f3hhx8uV3sUCsVthEZeVj9cV8dHoQjCYZdhRZGwT3/60+Vuh0KhqBAOo+D6oOCw+7soFLcDh1mG FUXCRkZG6J/+039Kly9f9viG3bhxo2wNUygUig86tNyMQnFnoyjH/J//+Z+nX/iFX6BIJEJ//ud/Tj/3 cz9Hf/tv/+1yt02hUCg+0Djs/i6KOxOHOSVEtbW9KBKWTCbpkUceoUwmQ0eOHKFf+ZVfoT/8wz8sd9sU CoXiAw34u/T1qSlSUXm4LtHyMtHICNH0NJvKq4XMFAOY96up7UWZI2OxGO3t7dHJkyfp6aefpv7+fkok EuVum0KhUHzgcZj9XRR3DkBgEgmihQWiU6e8QSOHATDvOw7Rygq/S1tbZdtUlCbsN37jN2hra4t+8zd/ k1577TX6yle+Qv/lv/yXcrdNoVAoFFR9JhTFBw8gMK2t/PvKyuEzkTsOUSpFdPUqE8mZmcqvqaI0YaFQ iP7O3/k7NDY2RqlUioiI/u7f/bv01ltvlbVxCoVC8UGHRkgqqgHwT3Rdov5+ot5eDhi5nXMxlQpRIrF/ 7bDjcLtdl8lkNWjyiiJhP/uzP0u//uu/Tvfccw+Fw0UpzxQKheKOQSVzdWmEpKIaUOl8XK5LNDlZSyMj /OyTJ/fXhnic/7ludWjyiiJhnZ2ddPHixXK3RVECNIGjQnF7UGlNlEZIKqoFldxvEgmixUWHEgmiZJI1 Wvvx56o0mbRRFAn7v//v/5s++9nP0iOPPEKxWCz797/xN/5G2RqmCEalNwWF4oOESmuiqm3TUCgqh9CB 3KWa1lFRJOw//af/RFeuXKFUKpU1R4ZCoYIk7Pnnn6fPfe5zlE6n6bOf/Sx9/vOf93z+7/7dv6Pf+q3f opqaGorH4/TMM8/Q2bNn9/kqHxxUelNQKD5IqAZNVDVtGgrF7QSsPkREjY27FIuxBiwer2y7DgpFkbDv fve79P7775d043Q6TU8++SS98MILNDAwQBcuXKCLFy96SNbP/MzP0N//+3+fiIi+9rWv0S/90i/R888/ X9JzPoiohk1BofigQDVRCkVlAKvPzg5HMobDmex6vFPWYVFe9t/3fd9Hly9fLunGr7zyCg0PD9Px48fJ cRx6/PHH6bnnnvNc09TUlP3/5uYmhUIHo2q806EJHBWK2wvHuf2RYArFBx2w+sRiRHt7RPX1e1RfX+lW HSyK0oS99NJLdO+999KxY8coFotRJpOhUCiUN0XF1NQUDQ4OZn8fGBigl19+Oee63/qt36IvfelL5Lou /dmf/ZnvvZ555hl65plniIhocnKSLl26VEyz94VEIlHW+x9WaL/kQvvEH9ov/tB+yYX2iT+0XxipVIjm 5mKUSoVpaSlKtbVb9MorL1F39w5Fo5lKN+9AUBQJK6eJ8Mknn6Qnn3ySvvrVr9Kv/uqv0n/+z/8555on nniCnnjiCSIiOn/+PD388MNla8+lS5fKev/DCu2XXGif+EP7xR/aL7nQPvGH9ovA9An79re/TY888uAd pZEuioQdOXKk5Bv39/fTxMRE9vfJyUnq7+8PvP7xxx+nX/iFXyj5OR90aKoKhUKhUNypMPe2uro0Oc6d te+VLfPqhQsXaGRkhG7evEmu69Kzzz6bk2tsZGQk+/8//MM/pJMnT5arOXckqrEYqUKhUCgU5cKdtu8V pQnb140jEXr66afp0UcfpXQ6TZ/5zGfo3Llz9IUvfIHOnz9PFy9epKeffpq+8Y1vUDQapdbWVl9TpCIY mqpCoVAoFB8kHOS+Vw0atbKRMCKixx57jB577DHP35566qns/3/jN36jnI+/46GpKhQKhUJxp8KPJB3U vlctSc/LSsIU5YXmL1IoFArFnQg/kkR0cPtetViSlIQdcij5UigUxaAaTC8KRbHwI0nAQczharEkKQlT KBSKOxzVYnpRKIpFuUlStViSlIQpFArFHY5qMb0oFMXidpCkatAKKwm7g6HmB4VCQVQ9phfF7cdh3gcO Y5tLhZKwOxRqflAoFEC1mF4Utxe6D1Q/ypasVVFZmOaHTObwJ7RTKBS3BhQhJ8p1dFbcmfgg7wOumzvP /f5Waagm7A6Fmh8UijsPt2paUs3IBwuHeR+4lbkelN6iGue+krA7FGp+UNwuHGafk8OEgyBQ6qD/wcJh 3QeKnetBssee55jrOztEbW3VNfeVhN3BOEyLTlE9KIVUBZ047yRUC8k8CAJ1mDUjiv2h0vN2Pyhmrucj auY8T6WIZmb4upkZ/jwWq54+URKmUCiyKFXbglNma6uQlTsJ1WS+w8ayvEy0u7v/exxGzYjigwPIkVQq /2EhH1Ez57nrEi0uij9kRwdrw6pl7qtjvkKhyKIUR17X5ZPlwgLR1assNKtFsBWDYpx0q8mx2XGIenuZ gEUi3PfFtsd8VzjoH6axUnwwgEPP4iL/3tERfPAppNXFPI/H5bpYrLoIGJFqwj7wqBZTi6I6UIq5ynWJ olGiU6eIVlaYIFTTHMo3t4vVcFWj+a6+vjSTZDVp8xSVwWGR87Z2K197S9Hqtrfzz2o8fCgJu0Uclsnt BxXOhw/lnm+lCDYQFNeVE2e1oNDcLta/qtrMd/shheqM/8HGYZLzpR4CC61L+92rSUYBSsJuAYdpcvtB hfPhwu2ab8WSjWojKCYKze1ShH01vdt++rxc2rzDfAD9IOF2y/lbmRfFzu9SoierfY9TEnYLOAwDnA/V aGpRBKMa51u1bsDF+ItUK4EshGLba26GB/2uh/0A+kHC7ZTzBzEvio3KLlaTXe17nJKwW0C1DPB+Tx6m cMZ98HdF9aFa5tthQDHE47CRr1LgtxkepCmmGg8ECn/czgPHrc6LYveyYmXhYThsKQm7BVTDAN/qyQPX 6qm2+lEN8+2w4INuKis3SdIDweFCOdaB3xq7lXlRyl5Wqu9qNc9PJWG3iEoPcLFJ7fJNVj3VHh5Uer4d BtwuU1k1E71ykyQ9EHywEbTGbmVelLoPFfIZOyxzU0nYIUchYVvMhqSnWsWdhNtxqKh2n6jbQZIOwwan KA8KJUrNNy+CCNJB7UN+axN/r8Y5qyTskAPCNpHw/7yYDUlPtYo7CbfjUHEYtMe6lhXlwn7XWNDhBcSs t1fufyskzK4bubRUvQcmJWF3CDDJlpaCa2gVcmCspol5mHGYVOG3C7ezT26XFki1x4oPKva7xvwOL0QH q1W21yZRdR+YlITdASikGv6gaLmqgfxUu5mqEqhEn5R7DnyQ1pVC4Yf9zHu/w0uxWmXXJUoma4ryFTPX JhErJ6r1wKQkzEIqFSpYLqHaUOhUns8h/07ZRKqF/BwGM9Xtxp3aJ3fCuqlW3EmyqZw4bP3k5z5TjFYZ 8n1x0aGxMf8KGGY/2P1RzQcmJWEGXJdobi5G09OHS4uxn1N5tZCWg0K1bPRqpsrFndYnh23jO2w4LLKp 0vPgsPSTH2z3mUL7F+R7XV2aMhmvfC82+CwfaasklIQZ4IEOVXwj3w9KnUzVQloOCtWy0auZKhd3Up8c 5o3vsCCfbKqWzbMa5sFByPDb2Z94ll+7CxXWhnxPJmty5Hup/VANY2dCSZgBHuhMxTfycgKLgKg6SMtB oZo2+ko/vxpxp/RJtR9eEA1WbQXVS0HQgaqaUg8c5DzYLxEqdPAsJj/k7SIj5rNSKf5bKXsP5Pu1a252 3E23oVL2smpbw0rCDDgOUXf3DvX13Tmbhgl70R1EOLDfMypFhPyeWS0nZ8WdgWrRuPohkSD61reIdnaI wmGiBx4gamurrjYWg6ADVTWlHjioeXArRCjfwbOY+95OMoLxam3l3zs6/H23/GDK8Lq6NBHlvltvrxw+ Ct2v2tawkjAL0Wjm0J4gC8FedEQHX0+umtS81daeYqHEMT8qTfSrReNqY3mZaGaGqLGR6MoVbtvQENHJ k9XVzmLg17f25klUOY3GQc2DWyVChXyoCuWHvB1kxHV5Xi4s8L/+/uLIEr5ryvBUKuR5t+VlotlZoo0N omiUfxaS89W2hpWEfYBQ7kVXbWreamtPMTisxPF2oRr6x9bOVIswJ2It2PY20eoqt2tqirUEbW23tx3l 6Bd78ySqbOqBg3i3cslk876plHc8zGtuBxlxXSZIp04RrazwfCz2WbYM390NZ98Nh46tLZ7vp075v6cf qmW9EikJ+0Ch3Iuu2tS81dYeG34b1WEkjrcT1dQ/1UAIzbZsbBD19REtLhIdO8Yasd3dyrSlHP3it16q SaOxH5RLJuO+iQQTlcXF3ETeuK5cY2M+IxQSB/xSrC+2DI9E9rLvtrzM18TjTMJWVorXsFUTlIR9wFAu YYVFWA4/s/2i2tTOJoI2qlshjq7rNTNX0/seFPbbP+XQzFQbIYxGie69l2h+nslXXR23x2/TK+dcKUe/ VJNTvtmmg3h+ubVQ1VBHtb2df5Y612wZPjWVyf69rY0PHq7LJs7e3sMp95SEKW4Z1aQRsFFt5AsIEo6m 0MF1RMU5r46MsPmJiIVSuX2BKmGK2w+xLtf8rBZNK8YBUWetrfkPQ+WcK2Zb9tsvxWiIK10PsJplHpG0 b2eHNWFERLFY+Q7g+VKKmFGRpimy0Po154HfQaKaD9mlQEmY4pZRTRqBw4J8Gzj+X4qQh8Cqq/P+jv8f tJCq5CZU6ruUa35WwyZgjgMRR50V0gYEzZWD1FYV25Z898inISaqrMypdpmH9sEXsKOjfJGy+WQZ2kHE xH91lX24enuZFAZFbcKMmsmwVnd4OJiIVVO/7wdKwhS3jGrRCFQDitUOFdrASxXyuEcyyb9D+JaLKFX7 JmTiIOZn0LhWehOwxyGoPXb77blyUFqwYtpSyj38NMS4Z6Wd8g8qRUU5SLzZvlisvKlK8skyx2EN2LVr PF6OQ7S3x22yM98TCQlPJIimp4nq6+Uwefas97nVFhSzXygJU9wyqkEjUA0oVTuUr69KFfKOwyYlmKFM s01ra2najmKE22Ei3n4b+PKy19RRSHNUraanQuNgahWiUWm/PVdK1VYFbbi3OicKaYgdpzr8Tw9C5h3k vPIj2ftp336JTdD1jsPjtLlJ1NTEP9NpNpP6mUdBwltbicbHWXPW2UkUiQgZw3UjI9JW05x+2MhZWUnY 888/T5/73OconU7TZz/7Wfr85z/v+fxLX/oS/fZv/zZFIhHq7Oyk//gf/yMdgcdlleOwDXS5of3gf4rH 3/cj1IoVouZchAbMdXNz8xRLwIrZGMz24Xv4e1DbKjk/zA18ZIRodJRobo6ou5vo6NH8PlHFav1u97sW IiOmVmFhwRvCH4/vL21FvvlxEMSkGA1xtRDiWx3ng9Im+/UJ/m4TV785Yj63HMEP8TiTqvp6/jk05CWL JkDCXZefn0qx2dwmbIkE+zRGIuyc39go8xlmzHxJam2/tUrKp7KRsHQ6TU8++SS98MILNDAwQBcuXKCL Fy/SWUOn+JGPfIReffVVqq+vp3/7b/8t/ZN/8k/o937v98rVpANDNQmCYmD6BxFVfkO8U2Gf4olubZ4U M05Bc9F195ebp5SNIZ/gzte2SgJrIRJhwR6NFtYSmuMalHPpdr8rnrezIz4z+bQKCwsHE8Jvzo/lZf5n mroOQrbku8dhMoMXIuXFag4L3cfuEztoobfXn5jYc7a9vfTgh2K15vky++fT4OEav++trbFJPZkk+u53 iU6f5rUQifCc9Jsf5rpJJnn919dXVj6VjYS98sorNDw8TMePHycioscff5yee+45Dwn75Cc/mf3/gw8+ SF/5ylfK1ZwDxWETBGaUTD6HSMWtwRYgt2Oe5POh2U9unmI3hnzPL9S2W8Gtapvwvd1dXhOpVOF7YVzz 5Vwq9V1v9T1cl9u/usomHiL2mTHv5Tj8fpubRF1drIG4VRKG+YFEmUTFZSnfL/w26XxO4JXWagCJBPtB gez79U8xmsNiyL3f4c8mU35rdHmZ5xAIC1FpwQ9m21IpJnGO4z/H/EiUn5ncT0PmR/yWlvg7GxtEAwNE NTUi7/JF5prrZnGR/3bvvYUPYuVE2UjY1NQUDQ4OZn8fGBigl19+OfD63/md36Ef/dEf9f3smWeeoWee eYaIiCYnJ+nSpUsH2lYTiUSi4P1TqRDNzcUokwlRKJSh7u4dikYzZWvTrSCZrKHFRYeIMjQzU0tzczuU yXAhVNThKgbF9MsHDYX65HbME79nEHFm6UwmQ6FQiCKRvWx+nWLvubsbLup7fs/f2eF+Oej3P6j7pVIh SqdrqLmZKJ3O0PT0Hi0sFL4P1lJdXZqSyZrsGkqlQpRM1tDSUpQiEQpsG+bLQbxHKhWisbE6Wl7m9kxN pWlmZsezplOpEE1O1mbHcmFh+0DmXyoVoo2NCK2uRmltbdfTF6Ui3xoK6ie/+bm1Fabp6ToKhzPkOHtl k8nms4Pub49NQ0Oarl3b2Ze8DZpz+drFpnbpt7Y2l5aXHUqlwpROE3V27tDGRpRSqTAtLUWprS2V7TMi CryP3adoG19bT+k0USy2Rx0dLg0MBM81jGsyWUOrqxEaHNymVCpM1665FIns5e3fRCJBf/qn387uaSsr dbS3t0ubmzX09ttEkUiGWlpS1N29Q3V1ufLLHJtodI+2t8O0sJCiurp0xfbxqnDM/8pXvkKvvvoqffOb 3/T9/IknnqAnnniCiIjOnz9PDz/8cNnacunSpaLuX02nrnzAiSyTIerp2b8mrNh+OSw4iPErpk9uxzwp 5NcRdMI+qHbZ9zL75SCfg4gpnMz7+vJr+A6674N8b+w8SEHaJvRLqe8RhELaluVlTk2AwIz9PsdGPi1G qci3hortJ9clunyZtSENDUQtLeznd9A1gP1MwH7PSCR4HkBL2d2dq6UsBPTLfs3c9tw354ppssMcCYqe zOc/Zfoc1tezX1Y0yn1y8mRw/2NcHYfo6lV2vI/HxWxqm9ht2fJ93/fxbJ/cdx9/z3XZkb+hgf+eb/zN voC5tpJJXstGwvr7+2liYiL7++TkJPX39+dc941vfIP+1b/6V/TNb36TYrFYuZpz4Kh28kXEE3NmRhbe /ff7q3s/aDgI/x3X5ZNgPhX27SLq5v39TA9+Knnz/W81yqyQP8hBvXspptJy+Gg5DvdVIiFC2+5v831B Voi8G0KpJt8gxOO8uQf5zOwnMKMQzH4l2l8usGJRbD/Bx6+hgUlPudqD8VxcZKJA5E+uHIdJcUsLt2V4 mP++n7QdpskSbcD/S1139fXiy7e7K+kr4nHvPf3uE7SeYKYPhaRSQ6F0GKarhJnp3jaxp1LcZpPo231i ksy1NfZ7TKd5Xgb1T751UwmUjYRduHCBRkZG6ObNm9Tf30/PPvssffWrX/Vc873vfY/+3t/7e/T8889T V1dXuZrygQX8VGDzh70+3/XlnJjVoj28VV8lCKTFRYfGxoIdVsuZoyuoH4vZuGzn6mvXKu+cWgyK8aEB ShnjYhyfsUnBwdn0g/Lrb9fNzUqfSoVKfo9CyNfm/RZNzge7X8u5lovtJz/SU642TUww2YjH/fNc+bWb 6NYDdHAP07e3FC2OOU9jMdYUAYWiCYny+562tfHfh4b42kLtyTeuu7tMwKDRcl3W5Nr+pn7zAX0yOsrv lM9XsdJ7kImykbBIJEJPP/00Pfroo5ROp+kzn/kMnTt3jr7whS/Q+fPn6eLFi/SP//E/pkQiQX/zb/5N IiIaGhqir33ta+Vq0qFHqSSm0pqDg7r/QZO3W9VEQCDV1aUDBXG5nPIL9WMxG5f5/jBNHIYgE6KDn/uF +tP8fGsrN/IqHvfvb8xZMyv97m645PfYL0xtQ6lFk4u57+3KD1dMPx0kqS2EwUEe052d/O9vtmN5eX/5 +kxAnsRinOw0FGKCb87B/RCffJpzW+4GHTZwjalRK/QufmPlOKI1hKkQbSw010DEEwk+fOTr62pRBgBl 9Ql77LHH6LHHHvP87amnnsr+/xvf+EY5H39HYb8kptjCqeUiDbd6/3KZlW5FaEMgJZM1gcKh1M2qWMFQ TD8Wuof5/kR8asyXfuGwor298LsU6k874S3MOOaY+pEv/N3MSh+J7B38SwagXMTkdhKeUnCrbcE45yOs IBrRaHBaEBu3YhYOIkEbG+xTlUqVRuz8+igfubJ9HW23BfsaosI+goVcIWxTIb5TrEyDdtZ1g6Mjqy1t TlU45isKo1QSY0+2Qifhcp9w93v/cpHD/QptCLzeXqKODreoZKbFEKtiHH5x34MYJ1PAwbE1KP3CYYPZ n4XSsuTrT78NFCd1vzGFCRJjfuSINyt9MRGYB4li5/h+NOy3U7twq/cu9P1EgujFF1nDFA4TPfTQwRWM 3q9ZmKP4vCSovZ39pSIR/uk4Yl7c73iY5MX+PrR9o6P+GjdTNs/N8d9gOjRN1faaKuQK4achC+pb8x0d R0yjQe9ebmXDfqAk7JBgP5qVUmsP7veEW8yCt+9PVJxPSbnJYSmwiW0kslew7cUK6kI5n0yUot3MJ4zM d2ls5L81NNyaycR1xfepUrBNN0F16oiC573r8iaRyXg30HyHGWTxrqtjDVhv7/6y0pcLfvPhVjUDrlt6 pKSpLSwmuCWoPE2x7Sv0fokEz5POTibb0Ij5wY9U5JN9kF+2WbjQ9zjFDH8GEhQK8Xtg/cdi3shGs1+L 8fMygaSsOIDhHpubvA5OncpdQ6Zsdhwmi3Nz/Dez+LadIf8gXCHyjaupqbP3GHs/ISq/b2MhKAk7JCiV JO2HvOxnIpYixM3FUcp38vnc3M7FYxNb08fnVuA4XodU1EkrRJwKBVkU8nUyT6Srq0w0bJNJKWZSPG9u Lla2E2axhD8UYmIbDgfXqTOvt/sGmrTxcd7oGhoOPuXBfrDfeR80H25FM4B7JhK5ZZHykSpTSzkzEwsM biG6dWJbzPvF4zxPFhb4Z7HjXIggmlpzotLkXySyR6EQr0ki0TClUl4Tt0nA8vkuFlq7fslcTUd3MyIY MGUzET+fD2F8v81NlitjY0QnTog22naFQLRmKSg0rkF9bLe5VLJaDigJO0QoRfAWIm2FhHkpm2+pQnw/ WrpiFli5YRPbg/LxcRyvQ2oQYSil3wpda59I6+pYE2CaTMwNs5CZ1HxeJhMKJJG3alYqta4losBKeSbM KYjQgr9LIcTjTGBdV8wiB4lbmff2fMDpn2j/mmbcs5SySLaW0nEygVrKg4CpoQmaA/E4myAL+YTZyEcQ 7bGCyR+fFVrH0Wgmx8cJUY34jpkKwryn6/r7LpowtWYgTvb10CAfPRochYk+NR3il5eJ1teZhDkO/wTJ gkYQ9+ntlZxdMzPFz+lCSgb7kDk+ztdgXaLNOKDt7FTONKkk7A4DVLBEwQKlGC1JUD1AG/vVuB1EdOLt tuvbxBbZmA9CK1dM7ppS+q3QtX4nQj+TSbFmUu/zMgW1ePvNzVas0LwVojc+zm0FOQWxKuawcPJk+TS0 tzLvzfFJpbzmw0J54oLmN+7putxHKFtT6DsopZROE7luKO9cLjexNZ9zkPe2ScB77zHRwLorRCCSyRoi yvVxImLH/EzGS1rM8TVTUAQdwEdGeAwWF9lcGArl5nwz5UMh2M+/6y5eR67LRHVyMjc1BoD8ZaXM6UJK BrRneZno+nUOZNjb4xJHjzwiYz0zI76Afm27HVASdgcBi8vMTeTnQ1GMKjeoHqCNQouhlO+YpzNcd6tk 5KBRTq1cof4rpa+Ludb8u9+1jlOcmdR+Xnf3TslzrliUKjRLJciJBOeBampiAY7os3Ka9Itt563Me3N8 XJc3X4wFUX4NZ75oNj/TDmpKFvIRa2khSiaDg1vwHBBbtAd/LwauKxqaYk1zxc6XfATRHKtkUuYUNGb5 Clr75SCENsyu92jeo1jZAA2eSeSiUX/C7LqFa2DiWpu0DQ+LhiwelwS39vfyBcYUK7/80N7O962vZxlW W8um1YkJNo8SSdCOX9tuF5SE3UHApDVzE/kJnWK0JKUI+/1sPEHCp9iItoMOky9F+OLaVCp0W7RydttK 0X7cyrWOU5yZ1L6HX/21QnOq2P4vRWjmI8j28/C7uYlEo3xyhtmnlHEtdT6Vama9lTXnuuyAXWz+wGKi 2UzTzuamP/EBiUDfbG4SrawUrpKC9u3nsFOKLCv1QGUSRD8Cg7FqahLfLvNzv3ujv+0chLZ8JMpdj+bc Nn8PAkjy5iaPld+avHaNTbkoB1VI+0yUS9qR2NZPfgTN6VLHwt7rzMhS9F86zb8vL7M8gywJatvtgpKw OwiYxKbj5n6EeTlITiFA+BQT0YY2HlS7Slnw5rVzc7yB7Df1RjH9e5Catv3goEp85JtTpZCQUoRmEEH2 0+5Ai4PcS1NTvEltbHDN1VIJWKkbSLFEPt8YFDunMBZ2WoKga4uNZoP5Ce9srgmTRExMsCazpYUoHM4U dXDZ72GnFFm2n2fku6d5aCpkUjUPAH45CNE2+Jz51Xssdt7ZGryhIX9/L9ctvRyU3YdEuWWX0Dd2P+W7 T76xsN+7vd373dOneS3DraKlRQ5x1ZDzTknYHQSczMzcRPsR5sV8ftCAsC82ou0gUeqCNx3QifaXO6gU 0lfpvDYHNRcKnf4LvaO9oRIFh5djU9vaEgdhe0MzndTN37u7efPZb4bz/YzZ1hZft98577qlp3JAWgJo noMcr/0S+/qZjjIZ3uySSW/kHjRlIBGI8GtqInKcvZz7BGmWbsUUW6rW7CATF+fTmBH5HwrsHISO4w0w 8Dtgl7KOivFdxKGnlHJQfuPkpyEzo3ODxntriwM+GhpKI89E3jZgLi4vE73+OvunwZ2hkuQLUBJ2hwEL tJIoxRQDmMJ+PxFtt4JSBLz32ozntFssStV8VEuetHKh1P7302bZpkZoXaanpZhv0PPicdZ4mUIbjv/7 6XN7w0R7/XJiuS4Tm0iENU3YGEpFqakcMAcdJzgZpx8K5aiDmXNykp9vaj7Q5/E4kwAiopmZnZxxC8r9 VG6tBZ6xvMzauunp/H5Qpd476B44CID0E7E5shitk+2mUOo6KtTm/fj7osg95j3a6udnnG8NT0/LYTyI AKIPzOhOBFnY7UZ9y0r7gNlQEnaHYz+E6Faft1/zWSmapGLNC6bjcT6isx+Hdz8H9GJQqrCsBpV5ObGf d8xHZE3Tdk0Nb26madtPo2aTi4PscxAtv4LvppmpGPPgQQFEcWEhf/kbk9Cavpq2SS0e53uMjnLi3/l5 jghsbhY5gM3ZjEQ0/QeDNmqbaJQKW16A9Jibtfnes7NMxIrxg7pVYG4UKmvkul4/u0RCNJmmnD1oWVGM jMU4ATMzufMFOcdsEzUOAisr/BkODokEr90jR4IT6Jp7DRE0q8HtNuVuNclSJWF3GGyBUqxj8kE+P9/m WAwpKnT/YkgezDNmpChSbQQt0FLJop8Dul877H72E5b5xqOaBMatIp/5oZR3zEdkzc+2t4MTTfpp1A4i TYG5YS4vs0ZsZ0ecrc1NoBRCbt7fnjtERF1dQuiKfQ84ZyO1gP18k9AiXxz+bvfn8eMSBYg0Cthgl5fl bxsbxZWQIjqYtCa2v9Brr0mE7f33e8lMe3uwH9RByUzzPpgrR48y2TDTfPj1DRKbBhFWyNd8WqODkid+ BB1+g7ZvL5E/QUylWE7v7uauv3Q6fwJdsw+gvUQakFIrK1QSSsLuIPgJnGIckw/S2dtvUwH5Gh9nIU0U nD6jmHcMOj3Z17muRIpubvpHdvl9p9jTH6Iji/X18CutQcTvUEwYeLWilH47iHmH58H3EX8jkjYgCSRy IAXV7CvVTFIMzA1zZobNoaztiNLWVm6Jn1K0F3YfmkEF0Wiwb5fffRD9GY3yOunuzk+MFhb4b0H5ntra xNcIa/LqVf6JnGv5srjbh5NSzPZ4J7sfbXmxu8ukoaVFqkT4+RM5jtcMFjR3i5n7+Q7Gvb1MRHBYXFry l2fmnM5kmHBEo3xfkLKxMdZE7u5y+8ycfmb7Uykhe/s9DJt9axIuIiHqtm+v38GrvZ1JWFMT7w09PULW +/rEn8uPhJlz0y8NiN2P9uFoeTk4eO12QknYIUGxi90UOI2N/qfsIOF2ECclW5ASSWmT8XFuE4THftT8 jsNCZHRUfs+XyRmRorW1+SO7bCFlb2am2h2b3tRULY2MBOdDKmYTcd3SwsCrDSaBlE0l5HttqZtq0D2C SIg9BiC1+fw/TEFuOmPvp53mnIZvERHfZ3qay1ylUrnzsJSN0G6bHVRgE5B82lUQxcVF/tvGhn9VhPZ2 7sd77w3O94R7mg7faBtMaGYWdyL0ee5BxmzrraaXMOXF1hYTg7ExJoQ1NUTnz3v9AfEMO2+WrXVZXub/ Fyp7U+hgTCTZ9NFPy8vSL3YeNxTv3twUWVpXx7J1c5NobY3vPzrKBxAzgz/2hpER/ldfv//DMMbbL5gK BL0Y317H4XYQsaze3JT+IcolYKlUyDPP86UBAbBO7MMRUbBW9nZCSViRKJf5rthnFxvCbxMUPxNckLZq v3lZgggQkVcQT09zOYv6+v2fQHAihNAKInPYEMzkkn6RXfi+KaRsR2Ui/7psqVTYIzz9TDR+/WybkkoN A7+dKKTpA4F0HInw86sdKdrDWwsyKERCzOcWk9gVaySRgN+WlCkq1URor5+2NhbyKyu8WXZ2ulRXV7ik TND9cQjIF1Tgp/nwW88mUYR2bmuL3/3DH/bKhJ0dOczki0a1XQ1Mnytbewa/oevX66mz019DbR/oCskj v3kAebG6yvN0bY0/u/9+Ji/xuAQQ4J39cpz5beCzs4VrNNrkDWTfjh5Eu3HvqalaunzZazk4coTHYWGB D2uRiDwfZspkkvsyGvW2A+2HNrCp6dYOw/b4lBpMZT63q4tlLlLCRKPBEbhzczGans4l2o7jnwYkkSB6 8UWv+RnrqNjamuWGkrAiYAqjQjX0yvX8YkOPbYJClNtWP+GWbzPza0+hske28MJCPQg1uCnc821kjuNV Sfv5YZnaLyIpz2MSPCLpG6j/EwmiaHQv23d+7bD7mci/30oNA78dBwJsqrbpzB5nEEhoU9gJ3ls70uxn otzyKKW8l01sbRJCJPO32MSueB4yeycS3ohKzIFSSQBIPIjL3Fy4YEmZoHsXk7U+SHOTz/wXj7Np68oV 0RafOCHEBGWrVlfZv25oKPcAQ8Tt86vU4de2RELuu7AQo9FR1rL5EYIgwmff0+/AA8TjorHp7vaaIM1N HPC7j0laUymeV1tb/I8o15/OJs0meQuF/EsEQXOKA97mZm7ibazFrS1eayAssRjRPfcwActkcgvOm4eN UIjHan2dtWm3IkP2I4Ps+dzTIwd115W1Z9+bzY41OYdZtMMv7UYiwQSss5PJK0ia38GlUlASVgRMYVSo hl45kE/A5Ls2X84he4IX0tqYyCfg/TaMQmHtpaKUE7LZ5kIbVUeH3N8meGafYhPt798umG/HFghBG3Wx 71KqxnI/wDPgB3TqVPAGCQIZi8nJ2q4dafdz0Ma6n6zxRDK/HMebdDUUEp+VQgTK1tJhAyvWDyhojeIg EI8TjY/nL9GTr322CcveYP0IVj6ZYWqAe3pYQ1RTk3sPlK3C9xFpakbnQQPqV6kjqG3JJP2VRoOZeTHF v3HvILNj0DpyHK5luLDA79jQIETTT84VklfQsC4sEJ07l5taxE8GYtygtQJBM9tokoNodI8aGkQThsNk fT0T1pUVSbJqvrNfagbz/fDOqZT4EdrX4PdyHfL85IF5qLb7HQfC8XGi1dUoXb3qH0Xq1954nDVgpoP/ fvaPckJJWBEwhVGhGnrlen6hSWNqLvaTc8hvczMFiennk0/A2+p30xn+ILWH6Ae8d77FlE9w21qVIEHm 1//RaKakRZxvoy72HsVqRW8FOHRAWAdtkH5zxnVzU3fgvWEyKfRe+Zxm7c3CHNfGRu6T1lb+LOhEbd8v SEvnR5rtZ8JcDc0b3tePrBWT+8kPpRzCzO8UU6EglWKZ1t3NY9PXJ9c4jpStymRY2wm/H/wNawUJWIn8 yY1fmxcXiZaXo1miYo530Hfzzf9849zWxoWbzUhZPMMk7kSibcK74TlLS/L87m6+FqTUbHNQGwv5I5lj 1t+/TcPD0icgYWgDrAF+hDNorDFfocGG5skk1HYfHNQhzx5PW+76yVyz/TgQ9vZuU2enf6BNEJF86CEZ d+xB1UC+ACVhRcAURoVq6BUSPPu91m9y2puRrbkoFeYz7A1odzfsuc4uRWE+DwusUJmTIBTbL8VqT4KE YtBG5ffcgxjPgziBFdqQS5lT+YDTvt8Gma9tjpObusNxJLIrEpGiwUFELWiTwnjDLQBmDBA3RLsh31Ix 6QVs8mfOY7++tueSuYHZ2jI/smai2LHa77wJujaR4H5qaOD2DQ3xPxCNxUX+eeQIvyfKVpmFtM2+icWE vDY08LgQ5U+PE4mwdmpz0/UNgsm3rv2qCxTTl+Zm7+fjOTfH1zU0SFqNpSU23SWTfD204GbajliM74nI xd1d0TClUmLSJ2JfLKLC/kipVIjGxkQ7hMPhrebTg0ZpbIw1kf39Yh5GHyBvHIIEiiXVfs/GfLEDGILk blD7W1t5XSeTNR4yZV5nu5aYRBJz0n6Hg5KXtwIlYUXCFEZBA1YsKdjPtfbE8Yu4wUQtRbUftDHhdIsN KBLZ83zXJH9+ifmAoDIn+dpUakkfx8mfrsLcMOxyJAe1+II23WIIXikoVsNxq6dY058qaC6ZkZFmag07 ggmorw8m5Hgv0y/Gz9RtugWkUnxPEP66Ovb9WFnxnpTz9Ush8ufX1yYxIwqONLb/jn5Bm/L529nwmzf7 2UBclzfhd97h9vX2MrFAO9fX/Q8reCdzM4X/aSLB5WBqaji3E67Pp7EKhfhZ6TSTHiLRaAcdmvB8W9Nf ymHM1lS5rvh48tz1ptXIZHheZTJE168L+YIpELh2jasEbGywRra7W9wbFhflXRBdGmRFwHuMj9dln41A odZWIcZ+cwC/2/LGnK+uK6kcEJTBz+N3391lH8GpKV5nqRQHIAwNeQ8bMLG6rn8KCVM24DBurukgmeIn m9Hu/n6i7e3twChUjCnItF8B+WIjq28nlISVgELCrlhSYF5bSEsUpE62fUTMiVpMrqAgwWX+nUhOuFNT Gd97QCjZifmwKOEMWiyK6RfzhLW1RXT5soSU5zObmRFwOOkf1KKzNSrIuo35UEwYeCmakXynxls1VTpO 4ULZOPnbqTWIgiOYCpnUHCe/06zjeN0C6urEf6ejI9dUY7YV98tkcglBPvJn97XjeDO/O46U6rFNzDZZ m5tjJ/SZGc4kv7oa7G9n97U9L/ZLuDFHjh71Zso35Yj9Ln7kxTTRzc/zO50+TfT++0xWWlr4u3bABO4Z jbLpc2YmlbMZtrcHa7symdzqAsXKDFtTYvt4Oo5YALCBJ5NMFtfXmeCfOsXzD5HMeCaShG5ucvvr6mS8 zPlRyPSG98hkQtl0JnC039nJ1UyZGr1Uip9rHohM2YdnoP+jUf7u5iYT6PV1/lssJuR4bY1l+9YWEzf4 tL31FgdzgMh/4hOy5mzZ0NCQPyI4n8aMyOujt7Dgb9K311sqxe30mz/YnyGfy+naUQyUhB0AzElUTA4r fFaMnwdO/9BKYKIUa1PP1+ZiTvD5NnzXFWGZTgcX3cYJqhjiU6hfbGGKkxyigoIWEt7DjIC7lUXnut5a gLZGZW2NN6SjR1kAFVPL71a1WMXOqWLuY5ub8XezvX6pNXj+hHx9u4oxpeS7znG8bgGhEM8paJNsnyyz rW+8wXMUpVDsZxYbMWVqg6AxCzKt2JtfJhPKHlgaGsR8mu/AlO+wlG8DCSJursv3QYZyx/Fq5KDd8ns+ yIudtb2zk+f6jRv8t5YWvp8ZYWqTLCSKff/9vZwDzPi4v19r0Pw2/x5UeNvuL2ip7Pli3isWEx+5lhZe 05ubRO++y+984wb7G+HQ0tnJpK2z05ugtFjTm/nsuro0HT0qstV1vfnczMO443CJKEQB+uUaNH2+UFmh sdFb4xQpL5DIdm+P2wI/aBApjH0sxnIXmj2ThNmyAesWfeBHvEzTMEyhSAPiVyrL7jvzoG3OHyJZh+b+ HAoFp8O4nVASdouwhWR7u6iOC51wi40atPMdlbKwg1CMQDP/bpqYiHILJPf18T+/yJZSThuFNmtb7RyJ sODZ3GQBmK/PD4qkYMztWoCmRgValyBHdL973uqprFiiU+y9iAqb8bABmak1QqFMoHmvmDblu850C8DG FBQ1CLguzxGk0vDTUBcz74K0QfnWrxlBuLpaQ/PzvKlmMsVpreHH09Ag/wepzRccY2pIYC5CW6JRog99 SL5j9mEi4d347OSiTU3y+dISfz8a5fQIa2t8zdQUb/ToV/sgSWS2PZNt29xcbmb9YsbIXHtBhbf9+gub Pw6HRNxvm5vcjnvu4euam4Ugguj09UlNw54eaZfZPvgYmportMUP5vv1929n5znmQTSaq6lF/c9MhsmT X65Be87CVO84/Pv0NF+DwAy4DbS1EX3ve/zZ2hrn2MJ9r11jErq9LXPYfA877Q6UBNC6mkQbfsMwf4JM T0zk1vDMh6CDtn0AMPfnYoJ3yg0lYQEo1jTkpzkyw22DtEil1Kvzy3d0EJtsPoFm/t11vSYmCGa7QLJf m/ZDfAppSnA/XFdfLykS8pkaD4qkYMxRC9C8HzQqOzs8bi0tuTl7Cr2X6QQeZLYwSZp5zUEKk2KIoZ1Z 3HE4OhKahv0mRMy3/sx5ubSUP+qSSMLUb9wQbSVImN12vzaa/i2maa3QfDY1FSMjRPPzMZqYYP8avwOL 3/dnZniTnJuTskJmmL2fqR/PJWJfrdZWXqeDg3wPaC0gp2Au89v4iHLnpenbh02so4PXnuOweTKVkrXY 3p57kIRJt63N9fQBNHJBY5pvfs/Oilans9MrI8y1j/GDMzrmp+uylmRtjdcwERMxUzPW3s7PWFhgMo3+ RpskCS33QzjMfXPkiDchLb6Hf37O5ub6jseDNbVYgy0t/Jmda9CWLea8cxxO14H9pa/Pu77MzzD3iIRY hUI8p2wSFpSTcWeH12E4LLIR6UqImLxDdkxPl57E2n5XotL359sNJWE+KMU05DfBC5kGbfV7vhpWOFXk 88/ZL4La57fpw8Rk+o7s7LAgQqRV0L1KyXpdzHWmBtH8Hk70ZlkRtAHXmYJkv8CYJ5M1vr4zMIuVkpTT 7ici/wSdRMEh9QcdTk4UTAxd1z+zOLcnc0sJEf3WH/5uk6ZCUZdEPN733ccbY1cXt+mtt1irU6hWp+vm +r6ZG1UQOca/UIjXRzJJtLsbonSaN+fjx/01I+Y90McwSx09KrnY8B0/Uz+eOz/Pn0Frk0z6a74x71yX Nz7H4b5Mp/mZ9rw0SRvu4Tjik+c4MnZwoTAPkiB+rEmvpeVl71xqamIymMnwPCjWnxIm4s1Nvn8yKWNs rx8EExGJXIU2KJXieywssMbGNqU99JDImPX1XPMgErmGwyzX4UOGuZdISB+++qqQkQcflPGcm4tlTbPo SyTKxT9ox1D/s6lJ0rOY45VPBtv7i012/PYeW7tU/B7C9wmH+SfI1eCgN2UGEAqVlsTa712Jgn3yMBfU Mb8KYWsA7BOVLWztE2m+TRffheNgoRpWpZCYYt/NPqEU0rawUM/kTGT4B+DU7fc9uz/yPa8Q8fXTIJrv Aa3IzIyEhuOkDkfUW11sJtHq6JDkm6UQ9yCYfYISJ62tvImDNCBUvqvLm93/oLRN9nuYflZE/s7NfoL4 Vuat63rNV9i0gvo2X9QlYGooJyZ4I9jbK1yr03WLKysVNP6QDckk0SuvhCkc5v9/73tsxkLaAfSl7Z8F szY7a+c6zPtpKvHcxkbW6qyucl/edZc/eTTXUCjE31lY4HaABJnmJPiN2UEuJpl77TXRBPX1eTdzIoly XV526MYNIZdI9zA1xfN9dbWwPyXeYXeXNX6dnUyC5ubE/w75Ck2/IyIJPELfHTnC18TjfNiL/NUOaR7c 8P/t7dy+B/Gsr+d1Oz3NmiKYk03tzO4u91FDA/fl3By3Px7njPlXrrAcQMQlkTdJOJ5n1v+8cUMIr22O LfWQHPRZMRpyv+egb5DSxNTabWzIvog1kEoFF/B2Xa8Lgt98BoIsPgjCUMf8KgQmDE57tmD0i+Aoxvnc FNRExeeMuRXyZZuuignRdV02n+B7J0+yicnUAKBd2ADhRInaX36bZT6iUszCzncNBIbpkwUHzWSS33Vg 4NYWm93+SGQvp/2Ow4I1FuNNthD5DHrOzAxvhNPTLOxBSNbW+JrVVSZi+3UsDRoLu4+JRADaQquQP8Wt zFvTfNXRkX/cizF3m/MDmo5CpAqnZdO/pafHPy2HOf5mZLTj8M+77iLq69umjg6OKltf57E8fdqrGbHz /GED8dOq5nt3PPe++/j7QRuZrblDnUW7tiBRru+r7XuDvoTfUSwmn5lk3nX5/VdXOTP8ygoTJ/gkXb/O /bG1xf5Y+WC2D2Y5RAk2N/MYh8P8PiBbdiHxsTGRWcPDPMYTExJpGDS37b43SUtfH4+z60ruNMeRMYDW MByW6g4NDSw/5+aItrdD2QhLRFzaScJtmReLiezJF6RUCvzWcLFrzgYsGH19Ml/MKHqMJczaSM2xvOwt FYj9ya9MFj43NWpmvx/Eexw0lIT5wFxMmBSmVszeEIiKY9T2BhePB+eMOQjYG62ZURwnCb/ISzjX1tUx gWlv52StficlMyKQnY+Dw+4LkahCC6LQNdh4UDSZiZL48hTqZ7vNhU6AdgLbrS2iN99ETTxux8mT/Hmp xdGjUe5HCJpMRk67Z8+yYPYrW1IIeMd8WpR8G3uQb8lBwGybab4KapN5rXkPtNWGOT9AIHASL3RYAfzS cqDfgiKjoaVtbt7N+tBEo2IyI5K0CHaev3zj6qepMDegfCajfBrPlhaed7u7XqfynR2+dnOTZUm+eYKx W1yUwsw4sM7MsGxJp4kikQxFo3ygQNvr6thcu7bGfw9yHzB99eDgfe+9TERCIcoWS0eOK/h1wbw7MyOH HZP49vRI7cygOYW+9wsegAzFIeXqVXE+N/35UEcXRA1zM5UiSqdDFAr5R1zazzO1vOFwcJS6OfZBcz3I AmGT9Xyph+zrzblmulDYATvmWllZkcPSygp/Z3iYXUAgr/zKZOFZdu7K22Fl2i+UhAXAnhTmxuPn61Ls abxU/7FbgbnR+mUUd5xch1kbcNa1IwHxPuZJDBEu+crc5BPcxUSn+aUhsBe9KeAyGd70TKfcoL7Kl3HZ j6DYCWxTKdZa4bvmhuinJQkCnuO64hxtmnIQvWU6mga9UyFhaGoEcL9SzRO3ChwITDMEzHCmnwoOLva7 5NPq+vWHX3khv+THNkF1Xa9pEqYzbEZ25BX6E+uwsXGX2tslL1NXF2vIEB3ousXn+TPHxHy3oHD/fAci u7zYkSPSR2Z/j4/z/bF2bV8ps01BudeIZE1Go0Tb2zvU38+fmfK1s5P7McgXyHX9c1Gh/+0xNucPxjUa 5e/5JbgOIih4Nj6fmZG241BkygoQCGThNzXk0E6a8wsarK2tCKVS7BiPg1zQmjPXpZ/GFNokaJ9M077f XLffMYik+Vl/7LVk57UMSqRqvwtcXRAkksnweC8uOtk5aJfJMue1nbvSdikyn1cp8gUoCcuDIKHttxHd Sg6kYieBn5o133dN0hCUUTwo8hIRj11d/D07EtC8Ficx1+XrYcf3I0lB/WQTBvu9bfOoeW8/IWELOKLc kHT7+ThBrq7y37A52AQPv5sJbLFBE0l0WFeXPKPY/HH43E4IinEfG+P2Xb4sY/fQQ16fnSDhaW+8MNGA jJvXBhG7fHMOmuKtrbD/BT7A+JmmOCKvqZMoNzcX3gXE1kyM60d0g+YJPgtKoQB3hEyGhX406i1YPj0t J24zeMH2bSEi2tiIUChE9MADuQeC/awL+71M4uW6+RNk2rLBLC9G5H9I6OgQzTJcKsx5Yrc1KDgDz43F iNraUtlySPnkq99724R4cNB/bZnk1NS+4KATRHzN9ZJI5OatamxkjWEkkpvVHmsYUZ4jIxJVaWoFTYLo ujzHVleJwuFMNgFsMYFE+ebH5cscJYs0FsePS5SsOR6mebaYA0kpf8cz0MZCFg/sH7ams64uTdEo9+3Q EF9vk2f4nkErCNeUgw5gOigoCQtAvo3fD0HkwY9w7WcClKJmNdtkaoBwajNt8bbDLEyLtirfjgT0ew60 GdvbEqlGlLv5+fmmmDUBTfs/Ua551HTUTSS8dfDsk1yQP5NNJtE/6F/kHoPG0HzXoD4IhVgIt7WxsEM0 E5E4M/vlj/PTWNmbhn16R+TQ5qYIN1PL1diYG4LvOPzZ5CSbiYaG+BoI2iACY4+Vmf8I5G95mQX93h7R m28204MPFnamxv38THGmYDWDFMy+shMvbm2xtqa2NnczDtoczLE3NcJYN4kE33NzU94Zwn9xkZ9rnrhB Hl3X68ZQW0u0uVmTPQSkUkzWicSnxZyrGFNEEfqtC/u9TOJlZ4L3I2G2bAjaGO35urvrTxaDAhPyHVin pjL70k44jvjqgRCvr4s2LaiPzLEvlKfRJA9+6Tsw55B5HmQKhyesYSL+DqJbNzdF85hKsdkV87arC64h YVpcFC2YHwoRdFwDkorn2VGyZj/YfUWUS9L8/o45jwNIkK+cuR4LjXM8Tp5caTMzsg/lGzMcYOHDbK9F P9lfSSgJC4C58a+v86aGEybChvORs3wnb/OaYiYjrvVTsxaaUEHCD/f0q/No+khgUjc07GavNVW7fm00 /eegZbDJgPnuuAY1AYm8UUD5+sSug8elUHL73RSoQWSyt1dyEx075u2foHc2+9ku8m5HVEHI2X5N9jxB 39mkA++QybA5C1FvpvB0HCYmyPAN054JZBXHiRF/u3yZCfTurr+Qs0/Vvb0SVj8/z5tUezvR6mqUrlwh On++uM3UTyOBPicSvx3TjI55CWK7ssKRYaur7JBtE4d84++6vEE5jmgz8fnSkkQBHj+eW47GTNNiH7QQ rZtM8ve3tmqyNS/hPI7no62JBNGLL/IaB0FGpvZUiujMGe8zzPcyiZfZv8WMQT5NHOanmeQ1SGtkE/kg AojvpFKhnD4oZoM0D36JhH/NS/PafNoeW4tsjqOdvgOVDtJpnjPRKI9vc7P4b+7uslbOJMdE3C+I4CTi NbqwQPTyyzzWkO+Dg0TJ5LZHNgM2QQ8ylZrvgJJH8FM7flzWmJnuBtaRIJcZ1/UGpQRFThNJ1KnZDrN9 xWj37DE5coTo2jU3r+LBPMCa8t90KUI/FjvXyg0lYQWAsg4tLVyao76ey1b09/PnfuHT0Az4kQ/zmlKc tbE4oGY1JxTuV0iImZqWIFOVrZEgQhmeKL33Hgsd03fEvB+0SCgEC/OIXz4eU8t45Ahfv7rKv9vkMh4X 06AZ5YV37u7m3zs6gk+9fhuN3WfQBoLgQogUO07myc3vdF9MuDe0iTbpsO+Bnza5g0MriiIjV9LMjES0 oczM1av83aNH+Z1v3uRr336bN4KeHu/72afqnR1+XibD90ynWcsGU0oxJ06/fvFzuD51Krcwt/nuyaTk qpuf50252P4fH+c1nUpxBC20D67L/XXmDJPPhobccjQw52GTNqMm29ulvh5HAmay/dfQIJqwxkaZi4mE ZGUfG+Pvz84KYSPiDT+ftqmQbMFz7Khve6zxzw4mCoo0K9bkbrZvbi6WbUspgSumdmRzUwKDgvIVwl/P PPQVkwLF7FOMPaJqV1Z4rmxushZrbk5SDxFJcXkzGMB1pUD2wgJ/Fonw/EBkZG+vEDLzXWyCbibfDXoH x2GZ1NYm63tjQxQK5sEN8sTPZ9J1OWrVTIZLFGxpwDjhPqXsd37zE9fX1fnXjjS/a8v/eDxX65tPu3y7 oSQsANj4V1flRAez1+Iin2ZwgjdhExIi/0iVILIQRKZMYdvXJ2UfxsZYwJg19PyEri2kg+z2tkYCAmtj I5I96d17b64mK5PhfoK6OxLhTeboUd40mppkU5+d5UWPvFew74+NyUnGLK3hOJTjNwIsLvL9QiFud1Dg BPrQ3HxtoWCrsYn4950dEbrFONUXIsH23+xTOiIjbdKR7/6YHzAnT06KoDZLwOBZ3d08NiC8U1O8iWFT 8JvX6P+dHSlX0toqwv/ee5nYLS7uZSM5i4E5Jjhtw+HacbhdRLkEwFwTHR0SlVpTwxug33MwX9EfiYRs ojU1YkoBoHk8eTLXbwj3q6/3Ol7DEXh8nOcirq+tTVN3tzibDw1xW5aWvNnlw2EpJdPXx22oqZGcfH4H DHu9B5leMe9NjTdILw5XZpBDoXxwZt/mM7mbMNuXyYSKchUwv4t1u7bG8xa+ec3NcvjAGKN/MxmRK7u7 fH1NTeEUKPb7LSyI6wOi97Am1tZYFiH5qC3DiHh9rqwIGTp9WopkDw4yYRoaIpqZydX4QBa1tPCaWF+X thEFv4PjsAxYX/evQYzgATNZqulmAHM80uXs7PC97Pez/SjN/SjfnMR44dnwe11dJTp3Lv9csmG3w977 0IelWl3KCSVhAcDGj0R4IyO8mFGoldM25H7PJCREvMD9suHbm28xpwVMJNMJeWREBLbfhDW1Tojg8Xu2 faLGAnQcfs/t7TA1N/Pi94skMu8Hh++FBdYgYJNqa+PFubLCm6x5unccjgQKhZigjY+zQAvyg8Hpr7eX 242UDY6T6+OA7Pm2n5lp8rNPktiIUIIE5qN8J/z9wO53Ijnd41ml3Cse535AjiY/0wJU8RCSRDxmQ0O8 IbS3Bzu119cT/W//G//dntdNTYi+3fX45+EeIDdmsIF5ykbfw+EaZp+hodxizuY7A3ffzRsxChT7CW77 kNTRwfNse5s1UpEIayqgbQoqCm4+33YEhkbVdBzv6iJKp5MegQ9ybJrSHIdr9F25wt9ZXJSx6O8X7Uoh QhTkrwP51NrKcmNqij9HGhdohswNs9j6ekEm9/zty+Q9OOU7QCKPXm0tzzsUDocWZWpKDoRHj4obRyrF 74SxISrsqgA0NfF9Nje5DxGFvb7O8guHGRC+IFkRjUqNzE9+krXPmC/5+m1hgecrIkxNbG15NXY2/GoQ I3gAB3AQF/Th/Dyn3TlyhJ8Nn1cQLTPQISitk0n4/MiRTazn57lv5uYkSrZYeYt2oP12GTvsZ0FWl0pA SVgBmGaCZJInHbQUdXU8wOZmZE42jv7Jr7kwBUyQA7LdHpirrl8XbcnEBAshMyKPSHzb7AgenFrt98Si gNo7HOb6aW1tKerslIgZmxz6BQBgM0QOIAj3ri4WILGYt+4YiAORNz/M0JC34CsyeiN6aGhIynW8+SY/ o6GB3/G11+Q9zChC2+RHlGsWxO/w4YED+0EtWrPPTRPrrcBxvOZUPxIBky76Gs+/+26e40ibYLbT7BvT Id8MqGhr480lFuPcT+b37eSKR44IyX3/fV5H8TiTjP5+nsvhMK8xM5LL72Rr1nVsaREy57eZ412wRvv6 2Eemo4OfFQrxT7N/ChFhkH7TEZ4ot4jx5mauKSWIMNXV8Zyur+eN3yZB+QiRH7E3gzZSKd6EdncpO04z M6IZgvbNJO/FaiGKSTNjXtfdveMxF5nfCzqUmpF2fX38Duk0X29qwhDJmUxK0lYz7xzmY0NDbrSin0UC a8sMBtjeljqTqRTfp7+fZS2SzsJvGGsbctF0rYArRSrF74yUQPb6vfdebvvmpqwNaKsgH0Gw7D3EjoSH HIS/X1OTaGVB6GZn+R8Rz8e+Pn7u6qq/zyqea/pgmYd8P3JkE+uNDXm3nh5v0utUKlSUfy4OmX5a46Eh ljl/+ZdEr7xC9A//IdGnPlV4fpcLZSVhzz//PH3uc5+jdDpNn/3sZ+nzn/+85/Nvfetb9I/+0T+it956 i5599ln6yZ/8yXI2pyRAAKysCOPf2GAzT1MTT0YzwaC5UIvNpWQLHD9iYE841xVz1egoL7r1dRYwu7u5 5isglRJyAiJhqumJRDMCn7O+PknXcOTIVnaT8Uv1YLbRNJuiD7HRI5VFf39uKgvTxwa+B67LWgGYdWZn 5UTX1cWnTziBvvcel/cJhcSXB/41Cwvi02L2IUhsPO6fDw5kGz4l0H7yic5wyitiPpmbuusGZ14PqslY LApFfQG25o/If876EQW8k6naR1qOsbF01jQMTSQ2DbMvzECTiCGJBge9/ohBDtWoG1moriNIIPKrRaN8 2l5Z4TV09Chrn7CW7Q0kCCYBtCOVXbfwOOB55oEIcmB6mjdWRMZiky0UEW2OmfkMbHKoGJBK8f26urgf Ojp4zoGk7DcfXND1JqGCE3g8zn5y9vdswhzk3wMCBq0Ukqxivo6OSsQqcnjhWZh/tgnObqvtXxWk7UHR acfh9iAFzNSUvKsZ4GBqyRIJWfNzcyDhadrZyTUTswlXyDPkpZkTDn9/7z2R+UeO5NaBRP+izZA98Tj/ fuMGv+PODhPZ1lYOWHIcvqepOfPbAxFFbZM0P3IUCvH1a2us2Vxf53VpVx2Zm4vR9LQ3kMBv3jmO+HND +/Unf0L00ktE3/oW0V/8Bb+XGVBRKZSNhKXTaXryySfphRdeoIGBAbpw4QJdvHiRzp49m71maGiIvvzl L9O//tf/ulzN2DcwQbu6JF0BUg/ALOW6fGKYnRWSgYVV6sYJ3xQQu8ZGfwFvbojQ9iwv808IfRPwbdvc 5NMiBAuR5FBZWOCFPjAgRWmRe8kUltgMcEKziwkD5onI/ntQKgt8B6aX8XE5ZQ4Oii/ezo5ErIKYmQs6 nWbSBsHV2Mjvh5MyTKxQv5tttzcetNVxuN+QsgMkdG4ulnMPvxO0rQnq6hIHXpAHPIeoeNOIDTwHzy8U 3l6sH46fZgXC3lTtRyLon21PpQBkTkfkFFJIwPzV0CCbytGjMgdAUNAGu82JRG5dRz/Ck0jwhry2xpvJ kSO8puFUDWFuphQwo7uCxjQoe769iftp0mxSQsR9sLUlmyxKG12/7p0rxRBzW0OIv5n5AqFtDoVkLMzA g3zEMZ/GyA/mhm86gdsHGb9+MUk41gnmAK5BqaWdHR5f+Nvh0Gm7I+QzneZbG0HaHsyVeJz3A9TexKHN vqfdX9A84W/JZE1O/jab2OO+RLmHlffe4/qkNTXcL42N/gctO82LWQbt+HGWo7u7UusRFhfIAz+TH9r1 9tt8wEqnWcuOPgpyhTGTfq+syBjCnYSIfQgxhzY3+dkwLduZCnZ32RLyv/4X0Te+wdeHQkwkf/AHiT7+ caLHHpOI40qhbCTslVdeoeHhYTp+/DgRET3++OP03HPPeUjY0b9SrYTDxSd3LDeg7iSSjfrMGT51LSyw AMMkxGljaopP1vfcw6acQjnFbLguC9pXX+VF193NE2hjw788CqKuUB+tvt5b58xPDU3EDohEcg0yYKfT /EwsuKYmoo99jN/3xAlZAMvLRH/8x3xKz2SIfviHvVE/tmCB4LDV1sUQgNpa2ZRgZoK2z3W5rXffze2D WQvCYGeHCWVDA/vJOQ5vlleuiLbmxAl+ji1EIJghKIOyWsOp2NRgoE/9tFt8uuVrNzcl3xei5fwi1fJt bLin2c9EwfnUbJjCcGuL5x/mkJ+mxdx8TILR0yMBFchrhAgmaBvQBvjuwIyP98QcIpK5FpSjzzaTbWx4 TX52uzGWKHxeXy9mGxABMwAF2oKg9zXHNKiwt3kv0wnabhfmEaLqsE6WlnizwwGCU8Tkr3Vp39tPQ4jP zOz8COqxTVl+sDV/vb0y9vY42cB8s53AzdJfdr+Y/mhE3qg2uCjAn8lO2xOPS8Jpv8NMkLYP62prS/wy /d7J1vaYxKqnRzT+psnR1MygP/FemQyTbrgCjI+7NDws5Mp2drcP+7Y/r+tKCaTxcR5/EFSTUHJKGdlj 2tu9Wmgilil7exxd2dbmPbj4abXwbnt7fN833uB3a2sTVwQ832yLmfQbbXjxRW733h7RRz/KPoSYQzg4 IQhsc5Pb+tJLRN/5DhOwZJLlzUMPEf3AD/C+gIMITJ6lKkwOGmUjYVNTUzQ4OJj9fWBggF5++eV93euZ Z56hZ555hoiIJicn6dKlSwfRxBykUiG6eTNNs7MvUyiUobY2l0KhEEUie5RKhSidjtD29h5NT6dpYSFD y8tRevPNJpqfj9LKikOrqzs0P5+g8fFtqqtLF/3c9fUaeuutJkokIrS3R7S+vkPT03uUSoVpeztMbW0p mpnZomg0Q6lUiMbG6mh52aG6ujTFYnvU0LBLkcgeNTamaXQ0Q3NzMcpkQlnNF5+GM9TdvZNV/yeTNTQ6 WkebmxEKhzOUTqcpnd6h2to0LS87lMmEKBTK0NbWDl25kqFEIkFf//qL9N57zUTEWqBQaJMWFtZoYyNK qVSY0mkuUlxfz/01NVVLCwsxIspQR4dL3d07tLzsUCoVpqWlKLW1pchx9qi7m50UdnfDFInsUTJZQ++/ H6dYLE07OzWUTm/+1T2JNjZiFI1mKJ2uobW1bXr55QwtLnJfLCw4FArVUDRaSzduhGljY4disVUKhUI0 OVlLGxs1tLLikOPsUW/vDnV1bdPaGn93YyNCb7+dynl/9FkqFaLd3TBlMpns58nkJn3rW9/KvtP0dOyv tG+71NCQpmvXdqiuLp3TFy0tKYpEMkTEY5RIuLS1FaW6ujQlkzXU0eF65g+eHYnsZdsyNxejVCpMU1Mx WlmJUk1Nhhxnj2KxPWpuTtPOToi2txPU1BQ8D1OpECWTNTQ1FaONDX6+2W4/JJM12f5OJmuooWGXVlej 5DgZct0Q7e7uUDqdoEuXLmXbib6sq9ul5eUYNTbuUioVpubmFEWjmWz5p6DxP306QU1Nuzl9MTWV8fy+ uprJeT/009hYLbluiKLRDI2O7lF7e4rC4Qz19W3T1NQebW2F6fLlRtrbC9HeHtHJk9x3u7thz/teu+Zm xxT3TqeJ0ultWl3l9zDvFQ5n6OzZDaqv36NEIpGVXWbf7OyEaGGB59TaWoRaW1M0Pl5Hg4NJIgrR7CwH OqTTRNvbW7SwsOeZD35jNDsbo42NSFZ+9PUls/M2nSZqbOS+v36daG3NoUhkjxKJCI2P72T72u5LyJ1o FPMsRdPTdb7jlG++LS1FaW6OZVJDw7pHnmOtpFJhikb3qL9/m6LRTM471den/0pW1lAqVUOOs0fz8ztZ eWKuWcyVQjDHdG7OoaamXaqvT9P09LZvP2OcXTdMa2sRGh7eorq6dI48W1jIeN4rFMrQK69wGpednRDt 7YVoe7uGtrfDdPlyio4c2aJ0eoNeffUSbW2FaXu7hjKZjEdGYB4Gvcf16/U0NRWnTIYJzNWrG3TjRsYz f5PJGpqbc2hxMUYrKzzvenp2aGBgO9t/GxsRikQc2toK0cJCA735Jr/b9naC6urSnvVt7i/om2SyhpaX o9Tbu03z8xkaG0t79kc/2Ybf3347QleuxGl1NUITE/X0x3+covr6CL388gjdvFlPMzN1NDtbS4lEhNbX hUlFInt04kSCPvaxTTp6dIs6OraoqSlNmUyIRkYilE6HKBrd+6vD4kbeOXs7UFafsIPCE088QU888QQR EZ0/f54efvjhsjwnkSCanX2ZHnnkgaxPlJ8DMiL2wP6R3PLoUU5Q+eEP556s8mk1lpdZbQxzyZkzrOGC CcyMEEREIEJ4t7eZ0UejkloCvgqo0wXHZrwP2hVUid7P5PCnf/pteuSRh2h9ne8bi7GWqbOTT6Wbm/yv u1tyZU1P871Njdr0tPimIHKUKNfX58QJUR+fOUNZzYpZCsY2I8HXZXSU+7Gvj1XPiBjk2mOsZu/s5M+h OTPD14eGxL8CPkZ+xY5ffPGb9NBDn6Dpaf77+++LjxP6wZwHCLwwTSP4PF9JHfvZmAOxGJ/6Wlslb093 tzhyF6ORhakOfl12u+057DdWdo6n73znUnaNmhq7sTGvSTYa9Zb1wSm/sZG1ZtDonT/vr9ErtLYSCZ5v jsN5wFBpoKkpd01gPjoOtxF/z1eTMp8GeGhIHKiHh7n9ly5d8sgufB9rZXeXtQ2xGI9pU5MkAEYqhq4u /h0VLeBXaQdS2PIKf4Ov4e5ubsb2zk5ed6amAloeIknRcOMGa0y6uljTgVQzQeNkv6+Jb3/723T+/Mc9 zzN9mWDWTiS8ZtlQiP0/kV7ix37M++xC5lE/YL6EQvyOx4/zvU25aWJ2luV2QwNlkxPX1/tfj3vbchnu H3CTgJn81Vcv0fd938MF69kG9fH993N/uS6PLyKmoTG7do1/1tZyu0dH2Uc2GvW2H9rPTIbvYZv+kHID UZNmGx58kL8/N8fXbG3xdadPe7VtfmtrZoboP/wHon//72UfMREOc1+1tXGwwrFjRPfdx7Lr7NkwhcNN RNREiQQnw11c5EPMyZNioj9ypPLpKYjKSML6+/tpYmIi+/vk5CT1w9u8SsEq80yODwLMC365RU6ckPw9 J04IYSDyF4YQNPgczz16NJd0+Al4x5EInXCYsicd835m9BDewVbJY5O2fW7wf/sdFhcd2thgYffmm/xO PT2yUW5u8uI0k3SmUrLpIvrNL3LUDoknQnZkyYVGJH5DZhSPbb7DeIVCrAaHP8H99/PGMTEhZjeQIbPQ MGq9mX2WSHhLIxGJnxzMLDA/NTcLkbMX99KSP+nF+/qNt2meQaFlJMBtbua2waH13Dk2ieMexZitcIjA vLJNen7mODMSlijYfGqboM1giLY2PkCYmxIIguN4k/NiDPzmZaHkj1tbSJTKawwExI5GnJnh65DSwHTY 9vOHs9uC98dPM/puZiZ3U7YJHNJa1NSIOb2lhTdq5A9LpXizj0R4DUxP86YYi/EGZGao94uORNBPa6ts RHDARqWB1VWeS01N3nxarOXmNdDeznNtZ4f7FU7hOLDaBzjbVI8I66UlotnZGL34otTe3NoSolVfz0Tn 5k2JhG5rE5/Qnh7eiBE8lEh413epNQLNtWymGwm6RzzO162u8jxcXeUxgunXHmvkoLPlcleXmP5wGEyl QjkmcrMMj1/aHXtN+Pk6mWTWcbi/19bkGXbgDcx9u7tMqkzZkkhI9Hk6zXMwHs8lVj09PI4vvsjj8//9 fzzXYNKGD1hdHb/v175G9Ed/xPe8cIFTeAwPY428QY88cu9fJRDn7507x8+2zdbJpJQZ4+hkr1w2ieZ+ SPtBoWwk7MKFCzQyMkI3b96k/v5+evbZZ+mrX/1quR53IHAcDpnu65MJBr8PJOYziQYRT6aPfYwng10X 0SZvqRQLlkxGSh9BgxVkJ/dro7kJmtoFCELThwntsIUifgfxGRvLPWVhse/s0F+ZK1h4fvKTuUEDpi8U 7m0nbyTyJxsQfvbGWF/vv0kTeX0RiLz9PjPDQnphgQURIn8QPWU/v62NNwT4a0D7gM/t0khmaRhzPJBE Nxrln+hfjIHpF2YTlCCNjtk3ZhQUEd/rwQf589VV9ifJV/PR7iscELCZo3SP3Ta/CDXz++YBw3yerTGz /bmQk8relOJxSc6L8TSFOlFxFSnMwtumBgiC2NxMQBDn5739bfeh2ZYgLZnf3DdJq1/fwOG6o4NP7pkM b5Dwe0smeU6jv0ZHea2dOcMa2OvXvTmb7HHPZIQAt7fzd+bnJaiiv5/n/7Vr/DkS8m5tsUZoYUHkCw4j dn1KzAm/XHs3bjBhaWgQYsyHzkzWnwvthP9bOMzrDv6Kx4/zfId8g/Y9HOao9bEx7oOTJ5mc2XOiEMy1 bL+X30Ydj7Ov0fIy983UFB8Mo1E5pJtjjfE1N39E3tfW8hhMTfHfEPRj5/Yi8k+7g7EGaUPginmIgfYL gViIFkYex6Ymb7Q61r4ZdWnC9PvCOGF/NNclIkO//GVOC4GUHkHo6SH6v/4vop//edZwIbKZE3O7WbI+ Pc3Pn5nhZyOPZSbD73jtGrcDORD9tHWlVGooF8pGwiKRCD399NP06KOPUjqdps985jN07tw5+sIXvkDn z5+nixcv0ne/+1361Kc+RSsrK/Q//+f/pH/5L/8lvfvuu+VqUtFIJIguXeKBra1lDdfdd0vCTvN0BOd9 81SCBUDEghOOj6bTKEhGXZ0I6EKnZcD83dRmmdFcftf6Odaa9SKhKUBemOVlvnZ8nGh0tC6bH+zkydzy PCbxM08aZgQS3smPEPqRM1OjZzq1YmOyNXw4bdfUsEkLtdls8x+ebRIAE+b98M8sjRQ0RkRSgsTWmOJf Msl/h7Bz3fyF4m3SjfFCjjWUMIFzuh/wDFMLZ5ZGqakRJ+ZEIjd1RTHpKcx3xee2dhMpJSIRr2M+rify Op5j87AjIk0TMlFwRQq0D5oSIgkKsB2UsY6RgNOsSEEkQSLmBoO2OU5uNYVio++g3UQ0b3u7mDJxb6zx lRWi736X53Qmw5vwzIxoUyBfiHIT0i4uitYBZtZYTFLwYA50d/O1b7/Nc4qIZSA01/Yhz3wvv7HCHAuH +efaGl+L6MxkssaTv8tx5PDV2MhztrmZCeH2tvdg89BDstF/73uyppeWvAk+8x1ybPi9U1AaEowzEctM pAEaHRWXBnsd2IdPBOgsLEjADq9F1oTZub1AfOy0OwBI78ICt2d2VoIYzKAAx2FNU1cX/7t6lf7KR80/ Et8ODBga4vv90R9xLdnxcR5jZPIfGODx29vjMR8d5e+dOsX76WOPSeQmyk01N/NnJ054U9YgaXp9PdHW 1m42OO699/jdV1dlfFdX+flIa1Rby9H1cH1x3dySaEEHuduFspEwIqLHHnuMHnvsMc/fnnrqqez/L1y4 QJOTk+VsQklwXT6B1Nczy0aIcSLBp0YMnJmfxK/uHSI6FhaYySP1BDRqCAuHnd8voWux5hbHCc5ubmoO bJ8KpEVArpzpac5uT8RRmi0tPIk//nFeHJHIHh075iWSQcTQ/JtNIPJpEUxhAm0CBBcSwAKot2ef3CIR bvvmJvsKDAwE+8zg2aipCG2JSUSQ/RqmT7OWIzsre99pd9ffNIvNFPnG0O7l5cIRjeb72aY/M1LWTPdh zyUQJVOL62d6IZLUJZubfP8g7WXQu+Jzk7xhDtpCj0i0wugj+93t+5gRl/kqUiSTTD6RVPPECX+B67pC 5CCo/bSwrsv3NA8DS0veeonm+weZmP20m6amcXFRNB0g5XhfmBQbG3l+d3dL8WdTi2zmYGPTudcHE+an 1lbxGSNiLdyrr/L6OHGCtasnTkjutkJaWxyWQiHeANfWhMB0dEhWeyJeS9vbSXroIfk+xgPvAbIQi3kj tYm87gQwc9bU8DNM1w8Q0mTS+x64R9DGiw3bjDI1iZQ915NJKert1ydB88B1JVJ1dpb3mkQiTI6Tm9sL JtCFBf5pH7wgg+Drt7fHMqyuTjSMkHNvvMHjDcJ74QK3A8mw33uPNVwTE9z+2Vl+ZjjMRAcypa+PtVeN jdzO48fFLxdRy//7/85mw0hE5jVSLJn51vr6vATM7qtksibrj7y1xXMsleLPrl7la8NhnjNEMo8x783x bGjIdU2oBMpKwg4bWHiFqLmZJ9j2Ni+o9nap95VMejUkpmaFyKuinZzkCY3BNolHXx8vhng8mIQVm8cp 3/dAKEAko1Ge9PCJQkgwEjXGYpJ7ZX1dynDs7obp5k3x1ZmdzfVJ8INJTv1OyUHvZ6qKoWLGtW+9Je9y 9KhsVBBaZsoCv/bZmohEwhuSTiSfIxzbz6eAoyW92h6YMk3TLJ6JsYhGhTAFAX2ETcJPWwbN38YGzznk bcPzTKG/uChaE1ujYZpecE9c6zis4bL70XG4LyDgzXeFPwtMctjMNjd53hw/LsR6c5MF/dGjskZsTQvS weC5fn6FfvMOqV5iMe4jP4GLQ5Np3rFJ0taWCHr7GabZEVoTs8C93/wL0m6iXdA+wowOuK74iiE1A1Kt +GmRbYJtJ0a2v5NI8IELflabm+JD5hegZJt1iXjdjI1xJvJYjDdJmJ5dl2UoTHKtrUSrqw6trfEGXlPD /5C/DE7izc18/xMnpD9sbVR/vxRxN9NaYN2hnuroKH8WiQS7gpjy3UxDYqeSMTVG8L+CObWQXLTnAdo7 O8sH4rW1qEdGmO+LxMK2/IX8IxLfQuS1hI/i7/6umA6J+Pp02r8EHxGPy9AQ91NfH68T12XSdffdRB/6 EAeigWRmMtzmoBJw9rwhyp8c2Tbn1tenshaZu+6Svmtv52e0tvLe0NnJ9zWrQpjjubrKa+Ouu3Ln8O2G kjADLHwzlEqxgzNU/N3d7NMAmBPDjlpBAV44aW5t8YRtapLN33F4oUUi3lN9bltKZ+lBmgNou9bXRQCZ G9zWFv9cW+PrQT4GB1m4ra0lqbOTF2WQT0IQINDgmGrmeMq3+LB5gJAhz9T2tnxnc9N7OrU3F7+TO/po cpJPT11d3JbGRjHVmKZQxxFNmfmukchezhiBtNhtQOWA6Wk+xcH0R5RbxsTUpnK6BCZhcJZGLh8IFcfh zRIC2E8T2tsrfjImkfTr944OKfkCzaffdUtL0iZoh12XaHKylkZG+PnIaP7qqxIJ2dHBEVLr6+JfZCa1 9Gu/X3Z/XO/3HkTcR0eOiAb7+HEhtSbxsM07PT2SA+raNR6HuTkR+qdOybwyyayfVgtt9NMa+REiaNtw yIBTP7QgsRi303GkSLmfhgXrGoSkkOYa/qkNDbwpQ2PZ0SG1Yom8Jt6xMe7TRILXEnx+YHIsDg94fjNN b/E4P//DH2aSc/Mm/2xszDUnDw15/clM0/DEBB8sXJdl+eamlKna3MxfvDwUkkNdT4+3zqc5rvE4t9OW Na4rsmN5WfzHzLabcxFaWE75Ive2CbDfAdOUf/BP3djg3I5/9mdEL7zA9z57luj/+D+4vR/7GFtrlpeZ mI2M8PxD9PKFC3zvpiaxCCDQ5exZJrWQoy0tYmJMJLy+wLBq+AUT5KssYR+YV1ZiWauEHSBkymzILwRy YFxCITmg+LkmVAJKwgzw6XknOyjYHNra5CSHBWQmWiTixQ+n1/vv5783NvLf1tZk4uH0v7zMwjxok8OJ 2NSGFPsO9ukKyRlRi25gINesWF8vjrv33Sf3QrTL7m44+w75fBJsuK63gLhZrqNQaRQ4pUKgQpCtrfG4 NDbyT/t0ajqq+pVKwYnxO99hUlRfLyktkO4DJ1tTmNrtjEYzgaY6bKgQrDs7PO5LS5wu4ehRMcMFBUPA jIGM/1tb3FYUmE6lRFMTDvPvExNMUpGCwdS2FIr2QttxUtzdFXOJn6bSz2k3keBI2kRCKi44jpyUa2uF OMLvCUShpcW7tsz2+/3NTythIh6XRLCO4/XDM9ucTvubdzY3Za7DYR/uBCaZwzrt6PCe6qEBhKn2jTea aWqK+7a2lonDhz5E2ZqsySRrQjY2eLOHxgMbdzzOa9PUVq2tSQUPjMvUFG+8zz0n8//kSV4/DQ1MnPhg xfP/lVfEpwlFpRsbpSzQ177GfYOUCqur/PPdd7mt0FK0t3P7TpzgjX19ndvT0iJmZowd5u7bb4/Q6dMn /8o/jL+TyfAchlboO9/hdwHa2liGIVgqneZ10dzMBKC3l+iRR4i+//t53r3yChOMyUlJ1NnRwe+Htp49 K5pSc66ZxcuJii80bq6nUIj7Cz6MdgCFqXmDxnpuzsnrg7m3x5ooIn4vEM3xcf59YYGDL957j/tncJDo 7/99ov/z/+Q5OjDA98lk+PdUipOhfuxjIivgAgKrSSjEz+3oYJmzsMDPb2mRaP10mv3z6uq85fdAbDc2 vIcoO9mvaQEA+VxclMwB4XAmS8iWl2X+jY+LxnRwkP+GCiumOwSUJrW1+Ws0304oCbMQjWaywtpMBwAV KIQ0hK3j8MC++64Ilvp6WTTDw5JnZXZWFv/oaH6CZTqEIkTd70RL5N1U7JM+Thquywtnfp7bMTzsNUPZ AQZwTMai6ehws4TD9kmwF479HqbPk62FyTf5oZEaGeENY32d73PmDP/e1cXCZGmJNxds/OZmC82jWSql vZ1Phm+9xX0C/7J4XDKpo31YoEFE034Hk3jB9JhKiRn7+HFua2OjRH0lk3zKNv3QmMywAISGDkTaLDCN tiMlB0zp994rcwEbCyoimKdHv/eBIzjewa8sSX5NLUs9+OnAfAHNGvoT74DyPDjw+GUrtx2EXZfnoKmV 8tsU/UxNptN6by+vRzPfViLBm9fmJl+DtAnLyxLQYs6x6WnJl5ROy6bx2mssF8bGcFj7iG+fIwUEkTdv GjYKFLmPRPiz6Wn+h9M8/JzwTki50t/PG3U6zX9HKgpsng0NfO/v/37K+nvOzkpB6MuXWV5A6428bqEQ z6V77mHy0tXF2t2NDe6fzU2+J5ztV1f5vthI4XjN9QfX6cMflt+HhnhdQBPY1cV/W1hgTc7169y2zU0J bHIcHqPxcR63b36T6L/+V28fh0K8NuB28e1v55rgmpulruP997MfE2ouAkeOcNuuXWMZgvxufX3c1729 Xi3q3Bz33+Ym98/UlGibIbNef52vgR9iayvPCddlzeLNm3yvN9/k/8/N8f3r6pisggQDHR3iy3nxovhj jY+LiRrrEAciUz6alSzMtWO6WoRCLHtQ6xJpKurr+f84/OBefoEoa2viaw0/aWTnD4d5fr39tsjT++8n 2tsL0dycFBlfXZUUH1CatLbyvVBqCaXmzAA0mLxLUXCUC0rC8gAh+1evegmKrcVZXuZJjNw9vb08MRYW eKLV10uh3GRSfJlMzYwJnKChPVhbYyJSXy/5pXAdEQv50VEW0EeP5oZH7+zICROn7PFxyUdmvg+R99nI C4RSNI4jUUkgJn4+NdgEJyZ4obW25vavX6I/E8g/Fo3yO6+u8qKqqxPhjFqWY2Pe0yoIQyiUWyplbk4I EgQIisVCOKFfSwlfhtZvakryTSHVQne35FSKxbhf7e9CUJnCC8kgQUiHhnJr1q2tsVBCSg7U0RsclDbj 2dvb+UkYkWiNQAShvjeJjmnyMt+BiCgeT1E4zGPU3c1/P3/em7/IPCS88w6PEZx/a2vFids0Z+D6xUXu k+lp7mto0Mx25Et+C0dnmHbsPFcoBI8orGPHeH60tPB8fuMNnmM3b/Jm/vLLQmxMoJbmmTO8Eba2vks/ 9VPnqLubx+G993iTmZvjdw6H+Z3a2nhDW1+HfxA/r76er/vwh4kefZT7FpsyTMMf+hAT/R/5EfGlDId5 A0MutOlpvsfmpiSuNU1e6LdYjIsex2IsWx57jK9DeoxEQgjp7CyTJJinEawxOsptj0a5bXDTeP99HsfR 0XpaWuI27+yIj2E8zv0OuXDsGJvQ7HqYpiaUiNff8rKUymloYPLQ1CSpERBNigSeb73F44pcgNevE331 q2xeHRxk7Z4ZvGTGkrF2xkuiIxGJgt4/ztEXvyi/hcN84OzqIvrEJyQgAxrLe+9lcjswwDLDz4fUTr9B xHPClo9EuSZDECEcPmAhMQOK5uflmZBlmFeojWma7BHJOD3N6yGREPK4sMD3g2l6ZUXcYJJJKTgP03g6 zWsgmRTXg1BIgk5WVkRhsrkpEeJKwqoYGDAQKTje2n4e+IeoGPP0b9Zmw4bW0RFs0wdcV06Gi4s8sZAi AaYAqGGx+S4tsYAeHWUygclv+nBAPdvfz9+dmBABjPdABJvjSGZsjuoMZdtnarxmZ73mSZjSEgn2A0om WagNDYkQwKJ+7jlePDU1RD/xE94cLmNjvAiTSe7P1VUhhIjwIeJrmprEGTMe5//DEbm9nQUViGEqxQIN hDadZgHW0yOmM9PJ1vb/yKe+xmfwR1hfZ6ENMm9GoRFJWghoYXBag9/XkSMsPMxoXFOwoT3w90okJEVH Q4P3O11dPDeiUUmci3meTwjZeYrM93ddManCATYSYadiIhaupkajpydXSwsfP8w5RHU1NTHBSqXE9Ip+ MDVw0ByZWmXMe7/ajXjG6qqYhyIRmZuoBYh8bvCV+frX2ay1ve3tn85OFvg/8RNMFKCdRfg/NqlolOjt txNUWyupH7AWkUYCJNvsIz//ONO8H1R1oL2d+x99kEhIFCf8ua5dE1lx//38TGjN0Zfnz0sErB1ZaQYV tbXx+Ozs8M+eHn7myAjPc7wHUn00NqItmezBBxp1yEoiIXB4JzNqFakNbJeOeJzzicG0OjfHc8qcK7hn ayvRj/+4HDqQgmZpiU263/wmRx+vrDDZ+eQnWeN1992sXRoY4Dnyu7/LxHJpiefE6dPe9EHQhiUSLKdr a/n/s7PcznSasnNjfZ3olVfepeHhc9mqH4ODUlwbBx/TP83Mcr+8zP0OmJpbW4bhIIW/+5lZx8YkmrKz k8f/nntkjYE4nz3Le8DgoNfvzUz4ah4iGxrEgR4+fdBw4xA3Oip7G++ze1mib+6xcHno6BATJNwA7LrM Zn9UA5SEWTALePPvktgwHJZEhraDJKIGYUIwBRSERkeH+Orkg+NIlB9U4fPzfI/ubskK7TisRVhclNNt NMrtbW8XP5PNTb5Xayuf4mB2wEnq6FFvpB78hlCeglN1hD1txEImEjMgJjU2jZ0d6RuQSCQnxCLq7pay FnYivaYmfs+pKW5vczMLhJoaHovTp72mm91dzqOE0z580BoaZJNFwfK+Pv536hRvQDs73nQHEEimuc3W FJjEFOMWCkm5kKYmFjKYGzDvwWyE7Po4keWLmIOp0iw0bo/XqVMsfFtaWMNiam4h5IKi+EzhbI6tmacI /Qcfu60tMY2YZY+uXWukWIwJKLQOZ89KugSY169fFxMVxjCdFgGKott+5hIzWvLNN/n5nZ2yqYCMmkku gcVF3mAvXeL+WlzkawcGePNua+M19vrrUjLl+HHWZqEqAjaw06dlDE6ckMMR5h4OHGxKT3tyeZkaOaSl IPLmW7N9Du2UJh/6kPc0b5IRM70BkZQbg19bOCxz/MoVcb7u7RVt8tmzXnlla81NzcknPuF1S8D3olE5 EHV2so9XMsnzx3HS1NvL1wwMcJsQWbm0xFqoY8fkXmbUKuZXTY3IL9MJ3oyGhbY4neb3NCMHd3f5evjJ QTP0yU8SPfGEt2/NsQDq6oh+8AeJfvRH+b5Hj+YesCE74P+H9vo527PLxzI98kguITLXH1GufMLB5r33 hHSimoLZDvOZphYY98SYQnMcCnHfNTRwH8HHDWbIzk5eS6kUX4MDF1whQIbhNw3gUF1TI+QOz47H2UcN VSJ4bEI5SYKxxyIZ7bvv8j4Xi4l1qqFB/NnQV2a/FjqMlhNKwgy4LtHUVG02QgTaKPjhJJMs8GFiMZNU IqHc66/zT5jmiLyOjpikmAi2LxdRrqnHcfiZnZ1i1oTTaybDJw84qKbTLECRLwcnKGjoBgdF+5BOe8tX QCD19EhCyPfe44WKIstEsonDIXJjgwUcomyiURH+2KgRkJDJ8KKYnWVNWzTKBGF9nU0oZnLTZJIF8dgY t/vaNYnYvHlTfLgQxQQNB3zz5ub4nVZXRYuCdg0NsQDApmmH8NsmZ1OgYIPZ3Q17CGhbG/ddS4vU5TMJ HZEIP4zt3h73oe3LZyY2hX9eUFJBaC9AMOF/htImeJ/dXXEwN/3KcO1f/AWTt29+k9vf2sr9dPIkEzzU 6YvHeQyvX2dT9O//viSCZZzwXV89PUSPP85aI5iQ6+r478inF4lI3qC2Np4f8/OSPd7UemAjvnqV33l1 VRKqZjJMliYmiP7jf2TStb4u2bXRbw89JCT0jTeI/uf/5HvEYkzIPvc5NsM5Dt//1Vd5/YbD4q+JsTfX MDYwaAoXF4nW1yMeTQMOKgg+gVbHjMo1tRemJh7ABgT5Zf7dnL+JBMsQM2cX/NficUkzguz1Zj/bB4Ag LZ2pIceBIxrlfoeT/9YWH0r6+3m8Jyc36Id+SAj23BwfIjs7WU6BIKG0Ft6ptpbXSEuLJOuE83giwe/Q 1yeHIdeVhNnHj0tusVhMkvNmMjw/GhvFVcHU+kIjlEx6q1Pg0Gzm87KRSHhLn6G9ftHcKBM3NuZvSg8K GsB4zMzwOzc2St8ApnXEL8ny5cuUjWweHuZ/CKDJZPgzJKRGqhH4Jk5NiVUCyWpxMJ2bE00aSFtTE/fX xz8uc97O++g4fNAAdnd3fF1D4nF+D+w/6CPsOdGoWFXM+sNEhetxlhtKwgyw416MVlak5EEkInZo1+Wf N27wILe0iMoTwqemJjdyEAvHPMG4Lj/DnvBEXlOPmd0eZgWYNYmkfuCZMyxkURZpc1M2MmzeMzPiEwRn SCRWhKMrykPACRpqeADtnpvjxQTNVDrNz716lTfo99/nRff227LYiSTTe2cnq/S3tvh+/+Sf8L/aWu6H Eyd4IcMshQieSETMA9PT4g8BP7flZSZ46+v8XajBAdO8ZmqU/HwD7NMRTFmTk+izEH3rW5JT6777mFA0 N0t9O/i7QShcv87PHx3l+dPfn5vo1DSLIUGkX71DjKmZzX1tjYlzS4ucyKFJeuklnpednXzd5ibPv29/ mwUnANO6mWoAJjs4zt+8yT+J+GDw2c/yuHZ1EU1NvUcnTpzJpgyYn+e58dxzRP/v/0v0n/4T0QMP8GbY 3Mzz57XX5F2SSZ4H3d1MkqB5fvll3iS++U0e61iMxwKb8t6eFJWGLxIwNMT3Gxpi89PDD/McM804Y2N8 j+lp3sCamni8Gxt5LLu6KFvSrK4ONf74O6mUt/SX43gTQ3Z0EG1spDyCHhtwRwfRn/+5aMzg+G5rTBC0 ASd9MwmxreGwc3iZkaLwT2xu5r4+fpz7ameH1zHIAuZZkFm+UJ6/aJRNdibxTyZ5zmOOLS2lc9besWPc lsFB/v/kpCQjhhY0keC2rq56a+f6Rd6tr7PfF/riQx8SmQiyDI0srq+vzyUE0Bgif9ojj/j7CNtyBLLc r/SZfT361dSa2qZ0M1kwPsMB0XF4bjQ3SyCT7UZj1/oFAcLhemxMDrWmS8cP/iDL1q4umWf4GY3KmJry Fn0zMcFyp7OTDzJbWzy+pml+e1sCwXCotAkSfJP9ABKHCNbxcTl8d3byz8FBMePa5fCC3EzKDSVhOchk y090dvLPU6dYMG9syGDu7gqTd10p9WNHDuIkgOSDME0hSsSc8Kb/CzRImECuy4sBGhQIkYEBEVJYpK4r xZiJvAsQn+MkX1vLJpWxMd6QUVgZRcmRY2V5OUrLyyL4pqe5/SCKly+bUWB835MnWZ18/Dj//NjHJI/P 0pL45bS08MJ+7z0mbiMjLOz+6I+EtOYDtH6IIiTidmIjQEQkIo52d1kogNTV1HB7Efp9331EP/RDbF45 dkz8g4gkOi0aJZqYqKOBAV7E29v8Pm1tkncM/YRSIOPjfP/tbb4PTvhdXV5hPzLCJALm56NHuR0LC/zZ Sy/xfRHK39oqNecmJsTv5A/+QML+UX/QRlMTa3rOnuX79PdLhGkyyfPk6lUmSdPT3L6+Pu6b8+d5jEE6 sNG+/fYq9fbyGKMsyvnzRD/7s+zs/Ad/QPSNb8jmCUCTAWfnjQ1xeDbR18eHjo0NHquaGokUhQ/lj/wI C2D405w6JesHmhFzI3NdiTQ9c4b7DOS1pYUJKTZPEN5kUjQn8GsZGBDzPJ6BA1Fj467HbITnLy/z2NbW cvuR8d00C5tmWQQiYLPCvMEBDWQfJqEzZ/g5CBKxNQ3YvED2zWg7jKsdBYu/Yw7j+SbxA6nBO8Mpe2iI 78FFmFnjY1aCgFnTcbzJiEF0b94Uv05oVN5+W4JX0C9TU/y8N97ge3d0iC8WiP3EBI/nd77Dz2hr47Vv azahmUeOMcy5YnwrQay4QgDLePtzcyzYjaTGJ+o4GJD98PsbHOR7Yg9D6hP4ECJ/VigkWsBkUszE6TT3 MfoHfQttIjSNZhQ98h3C38+ca9Aeg1g1N3tzG5opn956S7RtQdHPfn2Ma3p7+R6Q94gW7e7mz0HSTAJb Sl8fNJSEGYjHORVDPM4L8v33pQzOffcxMYDW6+xZ/o7rsiYBJ4sHHpB7YYEWcn4kEk2S4/DkRB4WnMxw OobpDRPH9GFCxAruA60VNow33hDCd+aMEKw33+QFglQEc3O82S8siDPo8vJHslGW9uZJxN//yEfY1PQT P8EbOjQBeF/HkVB1hP5fvcqCIpVi4fdTP8X3GxtjoQ1zz/XrouVZXJSErShzgfIx8AVDosndXX73xUV+ xvY2L86hIRbIWKgQDLu7rHH5gz+Qd6uv5zmAxdzZyQt9e7uJiIQMXb7Mc+a735Wag+ibvj4p2VJTwz/v v583EKQHwHyCZmdujnM0vfKKOJHnQyTC/Y4M0c3NTIDr67kNMDnV1vL8ve8+nrNoD5zfXZe1vTANnj3L G8jx4/zu0LD5aV/Gx4muX6+nujrpF3Mzu+8+nicvv8xzAXmbfuRHxGcSm8XKCr/7yAjPweZmor/21yQN zPo6twsO1j09XhM/TrymfxDq6UHzh4zpZoQxNDXQ4HZ18e8w/ywu8s8XX+T52NzMn0NLhuAC+JP19zOp QuCKWVi8u5vXALR2OJjs7XlLZJlRvl1dctI3a05OTEjKBNeVxMtE7C9qmrxsrQ3+D8d3aAb8TGa4vreX 3x8yEFqHoSHv9xIJDmxAEA60e7zu9iiR4E0Th9ojR8Sx38xwbvbt0JDMndZWb4oDED4cpmEiXFvzugUg WAn+qI4jGf7tUnCuK4XM4b8UFFhlA8RqakpMY+a97UjGI0eIrl1zfYuxg6z4BZy0t0vKBswP5Aw7dYrn 86lTfD3mciLBBywEEiEjPsgL0mjA3NrEIi/77uZ8AZFGUlfUh4U7DvySUagcQS4moZ+YkELvsMSYc9b2 2fYzjTc2eucNUmegAoHt6mPO/0pASZgBxyEaGNjOlgKBj4oZtbG5yYsZTpTXrkk4ezLJi8jMhYX7ms6P mFSdnSx86+rYNBKNskDe2vJORtMXx/QFIJLNAxtOd7dE7LzyioT/T0yI4yIc4+FzZfuZEPGChgMrCzqX jh2ro3icT1nt7byZDg3JqbKxUUwG8KkDQBzhVAx/KfisjY7CZMP3hk8PMjAja/UP/qBXk+FnMgjaYHAN 3tdOFIhrMhke0z/8QyYji4tCUsfG+NTModMnc/oNRPynf5rvt7fH/c/h+EyskCbkxRf5O//P/8P3P3ZM nJDfeIOFFAjKhz/M/XLuHP9cWBDz9NCQROYh+st1xScHgunrX5e6gz093N8w60Alj76CvwcI3MKCbJJm X9oJW7e2iLa3w1lSh/kF/5b+fsm4DV+ktja+z/Iyf6epSULYoXWYmZF3x7OTSSa84bAQgIkJOYTgAGH6 BxFJaL05Z7CuiXiOPvigl7TAZ5CI3wma7aNHZXMaGJDr4R+zsSGpQubmYjQ2ZmpSuX8jESnQ3dIi5XkQ 9UXkPciJo7+XMLW383M3N7nvQA5NsxbGwi99h63dMuUXvoscZJBlKyuSJxFj6Lo8n2DuTyRY1sF/K5Hg fllYILp5s46iUR7DREI02qY/EZzv4fs6McHf7e4WuRIOC2kGKYPZdmCA+2FuTkyv0GrBJItyRqZWmojf B7VZ43H2XwI5xVjkI7fov54efjZcWABTJiaTUg0jEtnzJQUI2AFJsn3wNjdZUwh/TpBO1NNFv6D9y8s8 H1Bc/cQJdgGAXy2sJjhoITkwzIamQgBzwvTJgtYREfpEPG5TU/xzZYW/g9xqSCGBesvQqCOJ7ehoHTU3 8+94v8ZGfkZbmwQJwTcYbgW2Py38HM2o60pBSZgFJGvFhIZDKFT9ra18kp6Y4Am7ssITqrmZN82xMXGC t6POsDhhLlhY4AmNXELY1ByHf5raMSwYtMd0PJyb4xMpEW82Dz/MGpmf/ml5r3BYnMbjcYnS6eri9zh+ nDdQJCv8/u/n90wk2Ib/3nvTNDzcTJ2dvPjhW2LWMYSpCu+KE186LadjAFqZy5f5HRCejZO7vbihobOJ lwn0k+kMjdB/kGZTYJqwVd44Fd9zD294P/7jog3JZHjs/uRPXqfGxvvoe9+jrP/Tpz7F7TNP+7jn5cuS JqKlRTQjV6/yPGKHXDGn/cAPEP3tvy3+f0Ht9SP8RFKMGnMHkbvwY0IyTSLRMuB6s/8zGd4c7OL1RJL/ B2Z5aCRGR3lNwCEb/X3ypAQiwOyOyCVEw0JrtbvL/bG2JtncMxnRsKytUbbuYCLBmbpRAaGpiTWNmHM4 jcMku74uVRdgBk0mpWIC+tIsIo+/gRBBu4FkndDgme2FmwCv7RC1tvL7YzOD2ff0adHYvveemH7sYJHe Xv4+fKTMQJ+lJV7nbW3S742N3nQlpoxZWeH3MB3MzYAQsyA8NDYIwEBqACJZszBlNjRwX5uZ/pHEFSQe BPattzJUW8uayelpSQqL2rTQKIIQDA2xfEPSVfh83nOPzF3IahAsmOTicXGMNwOWEPGKaElzTfzFX3Db 4nGWkSCIRF4yW0x9RNfle5kaThOoeNHczITdNsGB4CCS9uWXmRRifNCnIKg4HIOgIreiKa/hPjI/L5VD amv5b0eO8N6A669f5zFFMXNcY8shW3ZDQ4ucX6mUmEVB9iG3sIbicXGnQa7C1VWiublaWlnhvu7r43bD XQBzsK5OAjsQ6Wv70/pFXatjfhUBmhGoV2HSwORC9uydHTFZrqxIzT3zFEDkdZ7GRvf667z44ZSNiQBV M04f2BC2tlgwdXd7hWMoJPW8IGxqa1kb8+lP86Jsb+fMyfCJMU9xeD+QLZzIUik5nXz4w0Tp9CbddRc/ b3tbnDrtBWhql4aGxCQAtXVXlyTLa2vjtmcy3H/I/4V+yOcH4EdCYH6dnGTih0UP86kZ+IBTEVTWMCvB N++NN1gbhsSayLSMZx0/TvShD63TXXexMOjsZEHT0eFNkmoK9Pp6DiJAmLZJhAcGuD9ROB1jAoFov69J Js3TuH0t+hG+HURSlskUyMvL/DkEnp0cFZs27g1zB5sIxOmbN/40NTcz6d/dlUz4Zrvr67lvFxbYXwzz BCSHSIIy0A6UUUK/wm8SGg4QKBwmzMOKGRHW2MjzzKyhauaGcxxea64rOY7gz4lDB8jF0JD0CcbNdXlM bed5OL339YmpJRSSFC6OI4czaLD8ZAhkzLVrPDfb2/kfkg3v7UmQhGlaw71M3yH0kbnObJOkuWmbGkQi SfB57hzPXVQLMfN8HTniTfAMwshJjcN044Zou3DgQi1CRG+C5OM9XVfMvciebgZSdHSI5gdr//Jllm3N zTxfh4clNQUOVuZGDA1bezvPsZs3+f1MbX2QxmdsjAkMoi/hE4aavHhGPO5NbwSNWyYTylnXMzNiSj91 isf57bclQe7WlswTJKmFxtiUHSCLqCOM4udIII7DCOYB5GVdnbeYOdpn+lW6rte/D/IGUdsDA9xeaIDh P4a5aX4XzzXL1xFlstp9aNbgLtDUJHML+ykC0/yIop2kNt9+U04oCbMAm7OpUSDi/993n5hlYNd2HD5x v/QST1JoAEIhyViNDXxsjBk7zI21tZLeoLNTiN/yMgugvT3+7LXX+Fk7OxzZc++9sgBOnOCFidI92GDa 2oj+8T+WiYWFj03C9kPwA67nkkERSqX4xI5AADsc21atNzZKTqWVFVE34xRExAsRGoOeHv5H5F00pokD BMCvoDNOOCsrEk0ZjQo5RW4sEK3paRau0MB0drKA2doSLQQ2yePHhQDjtLu1xfU0Ya5D5GeQlg6OyhAO ZikNIjGbFcpPZmsn7HG0r8Xm2dPDp2fk9DE3RJjbbUdYx/Fu2iBBq6t8jxMnREvhOPwOq6s12ZQWcA43 N3ozseexY1JWBH1v+nxIxQaJKMOmOzTE/bW4KHXnLl8W52eTCO/ucpuhZQYJxAZqEjH4KGUyPNePHhX/ SVtbGo+LX9z4uGj2zNqj5umbiJ9t5jrb2OA2Ly+LL83yMs93vxJNu7u8zq5c4XtfuSKHu5oaiVZDFnJs vGg7Upr4bT4Yb2idzb87jmgSGxtZhqG8FHxhTa0MckNNTPCz8BnkkesSDQ5uZwnnzg6TUJCNH/kRfm+k mEHSYxDArS0+zCKAZHjY668KcyPICQpTg9xCQ4KEwjhQAFjbu7v8/2PH+OfKCr+/vU7X12WOQTsMU7AZ lW0SFqxbvBOCm3Z2Qp7owPZ2/v/dd3sVAvABu36d2461MDUlZNVMaI06yCCLKHuEMcCzYL4ztcB27srX XpMD2PCwHMBDIVn3mO/33MOuMVgzZgTk9LS4scAn0DxgwuzKsjKV3d9Q6g3PhBaNSAiZOXeJvETRPGCo Y36VgNWzMU+iTyIZRCS2AyloaBDNVWcnkzH4DSGisa+PhcD0NP985x1JCPihD7GQaGwUwYDSIvAPgUmw tZUn3OQka1pgJsKiuesubuvp0zKZzGiofGQJBA0Z3M3oFiL+fGrKzfpVwBEe/QM/EdvE5zi8MODwDK0h BAqcRtEG1+WNDCkNoCWanxdzBTZinELNWmSo0QgCiDDzlhZvuQyo4KG9OXaM7w8n0FBIso03NTHRQLJZ U6MyPV2XJeEovxTkrAsNj+kQCk0jkcwj/N0ct0TCPx1A0Dj6XYtSSd3d7Gh/9Sr7ttXVSXmlhQXpA3sD wKaNcYhG+XrT3Dgzg6CSSPaka2o1zZOzmdgT4wmy8eqr/EwUVUeajqtXeTzOnRPNEzZQJAZuaso1gUIr e/06bzrJpIwFalH65QrCYQEZ702Nkk2uWHshm7i95lxXMnajNmN9vRzUiMQHbnhYEt9C64yxQaoJmK2Q iX1rSzY+yJDVVe4XyBuUrfroR+VgZLcTgE+Q+a6mdSCR4AhXIjEZ4/lHjvC6n5zkjbq9nT/v7JRKFfAX S6XC2aCmZFLW2ssvs4xBuShE8iFRtVlTdWCAiejiIstGFOiGuRFm7dpayYeIOp+trTwv1te5/SDbeOfO Tv5+LMY/r171rl9s6vAzxDxE+gYcVIOSHps51kz5mUqFPOuYSIjC930f/0Qy4dFRqW+8tMR9gIN+JiP5 EtHuZJLnExzliaSMlWm+w9rIZLwmVlgcYAJEGauREX7O2JjIX6Q3mpqSrPdITp1IyLpDfjqYsRFkhkTG MFEODW1ltdFQlGAMoDVFmqL6em9uO7/DbNAeeTuhJMwAC9RQzuZu2vwR3QJ2jgLdc3NMsEZHmRDt7PCp dHlZTqeIQoM2CZoPfO66Ela9vCwZwHd3eWNaXGRBsbUljr8gFOaGbhdcBmmESQgLzDQtLC3JZo57YGHv 7hItLDjZk/P2tpARlNYhYsKEa7q6vJGbRBwoAJ+ZI0ckcqmmhlX9yOY/Pc2L4+pVFsrr6xwEgHI+WKBz c+IDgEXd3S0nv91d7mvTL8g82bmubGLwl4AwnJlhYdbdzT9BGHZ3JRI2HM5kFzzyyfmdvkyYiS9BmkCc ILDt74IY2toxjCOiX6Fls6/FhtHYyHNnbY03IOTBW1pioYw+wPijT00NaijEYwjNIeqiok1cIiqTzZGG 07QZJOCX2BP9Gg7z75OTPO6zs9zO1VWJiJyakuipZNJrAsO6Awkzx7u2VjZl9FNtrURwmqQVB5KPftRb bsnePImkkDC0rihPY2rSoY2z5+zmpkT+ptM831BoGtpScz1hTbW28rPgP7a+zt975x3uE7guQKN+86ak benszE2T4JWB/BMpVmBWQ544PqyK79X8PI/vI4/wPXp7xbcM5tP1dX4uSA5kVnu7SwMDsqGjjuaZM7zm oVmGH63pk9TUxP23vs5939fHn8HPyDSBY32ylonHHFUriMTUa6bbQE3g8XG+HuliILsgJ1AU/ehRmXt9 fd4AKrTJTskA1xb0KzL+19ZmPLkBbRcNWEugCTVNsI7DRBdzrLtbtPTxuKzDrS1vNLVtvgNpwboiksSu pg8lkeRyRIAFiNXoqKwlkGnMM2geMxn5HqLYcW8cflHNZGpqz3PQNQ+qa2s8Fjhwo/asqfHy6/dio1zL BSVhBoIEJTYS+2QCYQKzF+obYvOBvwmysq+v82KenZXF1tgoSSRhsmtsFAfQwUFJMzA+zoIHRcHhA5FO ixkHmxUild55h/2b6ur4xHjkiAQOhMNyEkKU29ycnMxHRiQ4IRLZpeFh9kFYW+N7IUO9ubDMqCpTE4Fk iHBEJuJ+mJqS0Gqo+Dc3+bPxcYl02toSgQnyQSQCBQsf2gMsPNOxGUQV7bp5kwUFCkKbEUMTE9zOd9+V lAgbG0JSIhEmYTducJ+1tPA/uxwQ+sFPCOBaIiH1QacxOEFDYJipIaANmpiQkyb63SSFPT2sgVpe5k0d Ds/Q+OC0SZRbJBwbQF+fkJ4LF7wBF3BUT6fFR+Wll2QtwWQIgoL/m064MLGurPBY1tbynFtd5Z8f/jC/ H1ILpFK8Ce3s8PXHj/O10BwvLopPGsjj0hKnZcHJG2MKUyu0GnaNV/j9YI6GQtz3WE+trV5fK7PvzfvD IRlyprdXEgvH496oN5gt2SVATPp1dTy/mprEpIQExceO8XcREYds501N3J/4HeZY2xwJ0206nZtBH3MP a2x3l9uB/FKYzyAyCwt8fTzOcwfyDf3T2LibXb8tLSyTWlqEiJoHJqQdQN61eJy1omb+Mfjyff3rUufw /vslNU80KlphJL/F3EREHcxj9fXcdhB9HAoSCdGiI+3Ee+9JoAN8vG7c4HsjQAiFp0FioBHd2pJDM/oi Gt3z+LCah1nIARC6U6ckirS/nzVlbW3c9pUV/pt5wDR9U82/23M2kWCZgsAEzIF43OtDGQpJvsWFBXG7 QFmsujrJw4j9ARopIp4XR4/KvoroXuQIhAzyk42YZ+PjPBYwSaJaAIIgTNKHNDFE4rNYKS0YkZKwHJiC 0o7ygJp2a4tPZRDUmFzhsBAMnGSvXeOJub3NAg0V4uvrmWDhhDUzw5vPtWssIHBCh628t1fIW2OjOP7C pPHd7/L/33iDNw6cfC5dkkSTiO47dsx72lha4jZDa5BKsVBZWpL7b25GaWpKNiyUgEAeGSJehCsrErm1 tcXPS6W4/+Cgin7t6uKF0t0tjpsos/HuuywAkBoAeXlmZ8XPDj4yZu6aeNzrY2EGH7gub+RI0ghSh3aZ ZAm1BKemvFUHHIdPg65L9P77KVpZ4XkxM8P92t4uJzA/3zW8u2ketR1wcQqHBsrUvuA9YOpABFg8zu+W yUh6ACKvuRPPwGkY5rPaWskthNOhaRK1+zFIhY8w/HQ6QYOD4riPvtjYkA2YiE1V8JO5/35xcr9wgU0t qP2IgtBLS1L7EPm0kOC0rY2v7+2VnGEIWNnc5O/AH2hvj99ze5uJUHMza3vQt2baDVubNj4uZpKdHV4f zc2scW1vl1xtiYREGYIEplLh7GdI4QLyu7rKf8PJHP41ILMbG7zWlpa4/SD98ThrDWFmgsMyzH5IIou6 nI2Nkq8Oss1c+zDdonoAUkqYztcgcA89xHKC/QClILM5pzFXjhzhz83oUwCyFmk3enqkLFpDA1+DaOfm ZtHiErFswxwiEhKYTgsJNX2AGhqYKCMH4pEj/Ds0SIiW3NmRHHqbm/w7tJG27xgRtwvj+J3vcHsGBoQ0 trQIYYdP1PKy+MLB7w3rrrt7x6Oh8TOlmcEOrisuEWij2b8miTN9U01yYx6aAZh3ceAzNUgf/rB8ByZ9 PP/mTSHNkDXmYctUaEAmOY5EUsbjfK9k0lvTNJms8chplJKCSTmZ5HbedRc/AwdSk/RhvwgqA3e7oSTM ADZfnBDN2lww6dhq8YYGMWvU1fFGfP/9PIFeeYWFASbZ0hJPgN5eifQytUh1dTzpETVpnj7g37S7y8L1 zBmJuEO+L0S29PSw0L56VcLyFxf5tIETWCjkzZ9ipkHAxgmtGxHR0aNJ6uzkjSaV4ntHIvz/48fl5P7a a0yUUPetvp6JTEsL99HRo6K+h1n36FHZgJeXuX9R4qOxkRdUczM/b35e/Ozm57lv7dw1aL+dlBO5vlDc HN9dX/c61MNxfHNTfJLMzOD4t70dppoa/g5OWNi4cBpGCRhs5mZZFbNIN5EIhJdekjqQx49Ltmd87rrc R8jaTZSbHmB2lttjJyXFM69dE01hKsVjBFMATocQ7pcv8/WhEI8TCIt5wiTiZ66uEi0tOdnT8fQ0Pw/m LGhpV1a4rxBVeuUKz4WtLX7fH/ohqabwv/4Xb5QoS4T5urvLROrIETGrgDzH46yJmJgQx/6+Pmnzn/wJ vxfSWxDJ+MMxPRTK9Y1DipLlZX6H2lp+744O8YXC3EfW79VV7r/FxShdvSq1aLH2oNGGq8PcHBPqxkbe PKCtxgazu8tkEHkJ33hD6sDedx+/x/33i98QZNXdd+eagTEP7aAP5GACgTELQCMXXUODkKy6OiEiRPwM mO1gpjXfGRvf7m44q5mZn+d3u36d5ZlpKuzu5ueur3P/gnAgkTKiWuErW1PD/Y7DG2QwohQbG7mfXZd/ h2sA1sfMDD8jFuPC3GtrEuUHf0cicb/o7pZDNvxTQTKQlHhjgw+OIAM4DJnA/NzYiGQPYrYWHf1naqgx hktL8jeQImjdcSCwS1r5ETz7wIaI+T/+Y0lojLJNRN6i7nBjwV5k+ruZWmFYNGwihMMTSmrF4zw3OLmu 1NSEJh2uCaOj8n8QX8hV0wLhunzv5eXgWp+3E0rCDPAiznjMXeZExUQyQ3XjcT4FI9UCJj7MP67LG0tn JwtsMywdNn2YAFCUG5Fd2KChiu/pkbBcbKAbG5IrCBmp4feARdzQwETm7FnxlRoa8pqcTPU5voMQ5WiU 6O23Q+Q4fO/paSZh9fX8nR/5EX5ee7sIpeZmvg7RakePyqm0pYWfeeOGqPj7+yVJZSIh/mGtrSzo4Qu2 sMAChUh8QeC83NAgZgEIDZihVld547p5kzWOnZ2y0QwOyukRfXb33RxIgJM1NBff/raYfmdnG+jkSdEw 4rSMvFqzs7xBJpN8zwcflM0JpN4UXCBPq6ui4UDUIMworsuEZW9PTABoH/K3IXoQmiIivsfyshCOa9fE rHXhgmTLxrMgFEHYkOgXOdhaW71+kmtr4ou3vV2TzUe2vS0EuLVVwtthRpuelnfBBppMip9hKsWE4uhR 8XtxHP5+ays/9+pVFsArK2yempvjaCyYlVZWvEk4YbKdmBBNix/gb2c7R8OH6+pVIcfnzolpKRIRjTI0 LKkUUWvrLrW08HwzcxcRiQZtfp5J+NQUjwM0bTs7PJYwizuOmNtgHkbUL3xRh4aErNrpMtAPtpsFNsSZ GdFEmiZwU5uwtiaVK5CDzjRZnT0rmnOT4JiRaJHIXnZDhsyMRCQhM3z3YLqFf9n2Nq9lJHCF2QnpOrC2 TNJprzfcyyzGfeQIr8HOTtEWIiIeWml8HweNVIrX0NycHHqg4YR/W0MDjyneE/MJ8sKsL/vii0RXrsRp bY3nlUmKbb9Q/LMJGuQAzOawHqDI/V13eTVgfsE8poxyXY4YXlvjd5qcFAd6jC/eCyZ7VC+ANiwaFbMr SNT4ON+XSObPXXfxWMO/7+pVSSOCgAd8F/VaEVXe2MjjgTxpOFgSifkXc7iry5t2qFJQEmbAcVgN3NHh Lb3Q3i41smB7hykA6tXTp/nvIyMspB1HJsneHk8STPzNTTmN4DmINEM6BMfh+2QykuNpc9Pr3IoNHep+ 1+UNa3ychecbb0juq498hBePaVaDiXNzkzVYUG2fPu09DRERzcy41NsrZYEWFnjR7O1JyDw0dgMDYupC dKN94nzvPRHwSMKJkxf8Dba3uS/uuUdCkbu6RCggKSYcUpHcFvlnlpakGC+iqR56iDfsj3yEx84UHi++ yAt3YYE1mhMTvEhxsmtpYeFDhOeFqKdHhBw2znSa+xr+EfBHgRCFT5QtuFZXeYOFCXNzUzSn8BN67z1u AzblaJQ3O0Q2EYlv1/Q0z6FYTDZL+B22tTG5RSqP7W0hPraJYmNDEkRCwMJ0iXHb3JQM/xsbNTQ5KTnH ampYoDY3y+b3/vviJ3P0KG+o8/P8jHPnxJQxMsLPzGQkGACmVvQdAkquXBHH+MlJ8V1cWJC1BsKI9QOT H5FsQKYGwSx3hANVJsN939EhfoxLS6I1bmridkB7g7mxvByltTUhC3iHsTFu4/S0+BVhc29upqw8wlyr r5doQdflNqCAeSolZtFEgs36OJxBVtkyz9RKIBAgk+G+w8GESCL/cJjCYRT+O5gbWJ84KAJ21C/3fdgj X6Glx0EN6UswLltbckCD5gnrHSWUHIdliPlsvCvmDJzAkVrEJOjxuPQxtP/HjvHYDA5KtCr87XDAOXNG DpITEzzmqRS3F3IPOcdGRiT3HLTOjiPa9Hh8l3Z2vAcp00eMSEgxyPfqqlg44Haxt8fBJTdu8IEYPmrQ mkMGmnPAHD9zrGDyxtrBe9v+WoiSHhnhHICLi/z+qKuK7zuOrGsi0cRhPba0iKtIayvvZ7OzddlcYzj0 bWzw+OAQCpJqBtzgs60t7hfzPSsNJWEWotEMOY5sZChbAZ+MlhYxa5gTNBaTDQ42bISIowZfc7M47kPz AnYPUwtOJDBlRSK8kXZ2ih+VqUK1/XISCV5wiQRlI9SI+P44xcGh89o1NlesrvIGctdd8j373nV16awz aE8PLyiUXcJEhhYMGr90Wk7tMGlACCJ6BaV8TFJinqBNXyYspvFx/n9zs9SDa2zkMZufl8LXJ09689V8 +9ssqM2M6PgskRBfm9lZr1YGmzGSwOIkuLNTS4uLsrlg433jDRZQMKk2NfG4wySwvs5Cw/SFgG9hZ6do jmByRImOREJMNiiqCzMyIpuIZEz6+yVbOsjpqVNCFiGI6+okGjEalb5H5CeiCrG5j43xO0GLgxQkkQj3 TzrNbb52jedUOs3PRV9DK7C1xe8H52YUUIefFrRyw8Piczc46B07+I7A7wUmKGzi0PbFYuIaMDXFa2Rj g9cystCbOeSgwUK/Q7OIw0cyyUQSmobJSUmWyiZZIQjr6/z+kUgyO3/xLKSnwbg4DpMx5OIbGOD7wh3B dB24fl00gEiRg+ADrHGzXJDfhmNrO5AOAJv64iI/BwdQ+LEhShaHUbgTmPUr4UsJeWYTMI68c7IELB6X JK2hkLeIOWRLYyOva6RIwSFgcpKJRyIh2pC77gp26DYdzl03NxIe7gSQK9jcd3cl+GJ7W+aambiaSNbL 1hZ/D8mYibh/EAnc2emVQY6DSMGIpyoAiK+ZJsU0scE9g0hq68L/GPMXpGxvj+UmSNeJE5LIG6ZAEDRz rd11l5jBEwme/xMT3iTGRJJwOp0Wc7qf+Q/3hR+16YsKmQbTMPbKnp7trMsJEvQigA71Rmdm+PnmfmcG HC0syB4xM5M/IOp2QEmYD2A+MKMkYarxGzAIslhM8oGhIC+RhD4PDnpJBcw7cODGZ3AcJOIJOjkpi3lp SRaH7dANwOeMSPISmT4zjY38bJiGYObc3RU/CzPNBbeD7V4cVi5+To7D7wVN1daWmK6WlniBQ8Ca7cQp NJ3m55u+EdhcsRhNJ+dYTEgCSBKEJyLGQiHesFFyw+wrnD5toRmPs/BbXeU+qquTYAZkZF5b4/83N0Nr 5WY1HciGPTPDY9/VJUWzHYfbEw6zoJycJPrzP2fH1nhcyuvgRA5CVVPDvyNMHibWnh7x8bGzQbuuaFlq azm1STjM8/fsWX7/ri4pk0VE9Jd/Kb5P0LLC4XVhgYUvEj0S8aYDfx9E28HhHFqX9XUeY2TbR1kUpD2A M3lDg+SUmpgQsyG0wbu7lC0LlUqJM7zpuwLB3dvrLW11332STgQCF+4Ap07JSRrkAhsaCCU0Q5wTjjca U2v7wAO82TkOt6mnRzSO8G3c3ZX8SMlkTTYYBuOKkiu9veKegDQ0fX2iGbM3MdT8g1aho0NIB+aD64of JOYVYJMi/G1tTaoUJJPiIhGNynqAthEuAvj+5cuiyRobE+3t/fezLDBL+rgu6tKms75KZqobtA/EFylU enp4HDIZ8SUlEsIOU9P0tGzOdrQw1gjSVsB31TTHmdVSID8QaLK9zTkeMS6YQ1hD0HrDhw8+ZBi7TIbv kU7LQcb0ybr/fqKNjQSdP89+xWNj/M88tEF7tbzMY4TD3uyspKGJRnn8p6a4PxD4gGosCBZA0EMoxPIC 9YARWGWutbvv5ne6fJnbbVZ8MdsFKwf6AEmdTfMf1i6CdeyULkTc5zU13IccAV6TTXcTjXr9V/F8M8ob qS1wvyNHJAIXRNvcByoBJWEFYIfvQz0OgWLWJESG9bExHujaWl4McEQ2ATU/bOZzc6JRQFhxVxcLH5Rs 2NhgAXjlivfEa4fYQmUci8k1ECLQDPT3c1vX1nghfehDbKJraPCWzQFBNB0izdMt3gXFhhMJfhcUXkUO LnuSo6oA1NR2dKKZHoPIq4mEtmx5WZJoQhhduSKCGOWDXJc1YOPjYqqyc8jE4xJtBIDsXrnC79TRwd+D NgyRkXDYb20V7ciLL/LPwUEpgr64yMIQBA1O9K+/zpqZyUkWNseOMUmA9hSJF0FwzESV9iZqmigWF/k7 kYgkiYQPjDm+7e1eEzLMLK2tSL7K497VJX4tN2/yHOrrk3sjerOlJUUDA0KABge5DabGp6VFtC07O9y3 MDMh9x00P5OTPO8nJsS/y3bmhRYGEaIdHVJgHv1k1nycn5fSPidOiH8kDl1I1wItMbQMR48K8V1ZEc3k kSP8LMwx5JYaHeWNq6WFaGurJjsP1tZ4zvb383339ngMiPjzjQ2eYzMzfJ/GRulvkEnkIDRL4diHsr4+ GQcimd+mM75Z9xA+MwgWMM3QiHA003DY2m2Qy+1tfjYST9slffDMlZUoxWKS8gHr1YxSB2GGYz6RZHWH HEK1EESGwlS6siLFzM13xRxHHsCJCTkYoA8cx6vhQXTj/DzLp74+lpuYfyC7GA/THw4/8Y6NjTx2J07w Z3a0YFtbKkso0mle8yiFhD5HLjYzGh3O7MPDkhT79df53ZaWuC/vuYe/j4NGNMrfj8V4Th05Igce208M 0cnIhTc/z/PbdaXtw8NSIg0HQPh7mQDJRoSoHQkOoowo11iMaHbWofZ2/v3ee/lauPagj0FOkQ/QlBEI eIJfrzrmVylMvxA7cpDImzWdSBLYEfHCQBbyREJy3iQSvEFgghOJTb27W04OqBeZyQjhWV0Vf5n6et7I a2rE1GAKr7Ex1GTj7yO9BVTPsIdD5X/yJP+8+265B/zP8E5st097iBI+s4v69vaKRqm31ys0zP59910p ztvQIA7EsRi//8iIl8R1d+dqIrHgsJi6u/l+WKRm+DYiLWtrJZzdTmqLf3aW6Pp6iT6Lx8UvyHXD1NUl ETy1tbxxP/AAa0GIuE04Lbe3e2sRbm7yOJpanr097s+775a+nJ2V3HD33Se5vcbGvJtEIiHRmNhkoEmF eWdjg9sG0y1SlTiO1LQ0y38gkmxxkTfXpSXWoiH4wHEko/7SErLLZ6izU4qFmyVEXFeilmAOnZ6WNCnt 7WLuJ+J+Tafl5F1fz++zuyt+HmaYOhLmjo1JUWb4vWDODA97zd0mMP4ga4j0hQYIkceZDP8NUYhmBB7M a9Dk4eAQi6Wpu5vnD1LAXLnC37nrLiGbmCswt+/tiWMyiHNLC68LaJTX1nLnA3w0u7q8eekQPACSi4AN bLLhsOSci8W4TQiwgF8hSDu+57oShQ2glFdrK/eZ6Tu2tsZzf2cn7MmBB6KM/rTJMUheJiPR0PgetIcg cJcvews6gyiYmmto8UGmW1pkvFMpb2QokRBTzBsz0tCuyWmOhSn7hoYkDYapPTJ9stbWaujll1lOvv++ 5AIzTco4RDY0cDsbGyVFEOQhyEh3N38fB0mYekFI4YfX1CQ597D/wccKB5nlZfb12t3ltrku+xSbZYdQ wSUS4bE2qweY7TdNqggow7wk8pZKWlwkSiSilE7zurx2zZsQF/1uF6G3y9phPG0tWaWgJMwH5qLABMTG jE0Lp0u7iDUcVaGG3tnhhQkBcfKkkDeQi4YGFmqw6yNvExFPkrNn+bsIhcdpzyYlMDGCJMD3B8IcbcWJ aWeHF936Oi8maOtwYjQFxMZGJHu6AVxXom0QoeU4ucV6bcGBsGI4t778Mi+yrS0xxywtiTAlEl86aKfM SC2zthiEPUx5GE84hu/uykZHxP0NrRLMqNPT/J29PUnmiNIr8KVobSW6eTPk0QgiehNJBtvaZLNGMMOx Y/zdRx6R/r1yRTRhiO7C/AqFJPM5tH2IWltdFZMQEZOQV1+V8jgtLRKUsL0tpW3gf4XDAtJC1NWxUzw0 SWgftBzRKPvswLSIvFVwmIZAbWtLecgKEpJi/G3tXVOTnNzb22XuIakizOv33MPtvnmTn/3aa/w3aO1q aqRUC3ySzALOfqkYoHVFu06e9PpIwVSDvFEwJ2G+2SkfYB7s6xOTW2sr9+f8fIYmJ7n9i4sSdFBXJyXP UCmjpobHD2k7kBkeJAi+aTB9Y+2b2kFTjkE7jgOeGXCwtcX3S6V4XjU387UnT3IboYl74w0J4Fhbk6CV TEZMcQsLogk5cUJcMLBm9/aEcHNy1kyWtKI8FCJAcYiEtseMdINGDv0N0ooNHe4R0Nyg5BNk+d4er1Os tbo66QvkqUokpAyc4zBxwyFvYIDXH1KrQHNj+q/ZmlrICSS/NUmJeZBZXCS6ebM+63MHbX88LqWmzPUO /69HHxVTL5FoN7EHtLfzO5gJiE3tm+uyZq+tzStrzfUK7efSEh82YLY0k/rCeoJI/Hvu8Tf5mVqr8XHZ p9BHWFvYM6amiLa3Q/Tuu9yGM2fEz84GzMt2WTsiObRXAwEjUhLmC7BpCFkir+BFaDwmkbngTBs3kdR8 w2S5do0nW329CAY4aV+6xIsOJ0rU9zpzRrRKRJIVGtGZWEA4jZoFZk1H//5+2YS6u6XwL4Q6HFBRBByh wO3tfGKF1gF+YokEnzanp/m+P/zDsmDxTGR2h/Ml/D9clwVtRwf3BdIF7O0xGYGvUVMTCxZTcCwve09M phbr3nvlvU3BgXHB7xMT7G+RSvH/UTNtd5cJkeNw27q6ZAODsE0kUAokQ7OzLMzDYdaIIUEj0pU4jqSc wAkcpzEQnK0tETgNDfzONTWisUA0n+NwXyF4Yn2d29rRIZoQ9CGKZ6+sCNFubfU6rM/Pi0/diRO8qZnk mUjM5kgE2tzMfYU8THV1knpifBxF6aNZX7l4nJ+D5MZ+hXrhRN7WJv5s8HdCORiYshC63tcn0YQo2oxA hFCI6Fvf4oNFayv/3U7FgP6EcDfrb5rltuJxyXCPtWamdsF1MPdjfcF0e/w499nQENH3vpfJ9svcHL8b Ih5Regb3XlyUmpkgynBrQLqXpiYpVg/3CNs/B5qltTXuj0yG3/HBB6Xti4usaYEmlEjSCmC+Og7RN78p 2ls4wMOvaW+Pv4OxRIF0M4UByh91dfEaZ5NuNNt/IFlnz4p7Au6FcYD/1diYlN3BdaYfL5zZ8U4YV/h7 IZJ9YkKqL8BFAI7kRFxZAQ74kCGjo1Iwu7/fS2Qg9+zoO7PCBbSwWF8gsljvLCtCWRM4Ds1LS9z3f/EX PAegIYf2PJGQQCTMd2h9kGLD9s0FqQJhQV+vrHDb7AhTfKe9XfaMRAJaTUmjA99LmPNR9sh04sc+OzHB 39nbE5lvBlRhnvL471JbG69/08/Obp/pL2dWvrGtWvZ6qQSUhPnAXBhQeWPz3dqSDWJxkQULzFqmbwUW 25kzTLxwgsQkvftudjiuqWHhCB+atjYWDm+9xcKK8wt5/W6IZIMnEo0BIrOQ5BC11MD84XdBxN+FDxO0 JPE4vy82epgWOJdXNOuojRJC8FmqreWNFmQBfQhNALKbLyxwf21v8/tjkcIfAIlCBwYkG76Z2gOkbnNT 2mYvQjhZm3/HeCLku7dXNFxwZkVFA2z0J06INm14WNKFYLFOTRHV1OzR1hZvltPTnN8Jjtn33MPP/u53 hejhuzU1/NzlZX6Xy5f5b21trAVZXxdz7YMPstAyi5wvLvLz9/YkCWkmI8QP5kVsKJEIjz3y1hF5o4mg +oc5mUjC/RHOvrwsCTlnZkQQQ9ihfQ0N7IOCEz20LmgD1sbWFm963d3euqfwxYJGAbmNEI3nOOIov7Ag +aGamsTPY3mZ362tTYJiMLf9yJNZR9UESIwtpO1qAigP8847/I6YP8j9JVq1UFYDjI0BCU5NU186Lc7d 2NRra2XsoAFHPkKzHmOQiR39D3liEgZojRxHTNFIpNzXJyk09vZ4nkYi3B4EVSDABgeVlhbRGpqHJGhK Ghp4fcfjRNPTbjYyGGWCrl7lz+DEbbocxOPczyCWpobLBA6qjuP1C4TMMCPZifhZ8GGDT2JPj8xXoK2N TXE4fOMdMaeg0Zqd5TW0u8uHbNOFBX5YcBcw6xwieWldXZp6evg+MHmCoL3/Po85yvR0dHgd5PFva0u0 gSap8YOp4TKLlPv1Ld5vYYHnG3Iuwo3g2jXW0EED1dbG8h7zFHMCa2d6muUjnO/9nhmP837Y1JSmCxdE S+ynzTJNktCgIs+iadVC9CSifStVvkhJmA9MWzVOzTghLi/zoCKxYne3nLQTCckzhRxWJ07wYsCpBXXv YHbs7OTrQbAQSgxzBE7MGxs8oZaXxZkdqtZMRjYkbOY4OZg5lYi8py6YP0y/mIEBvj/yIMXjfEpfXXWy wgkJJHFaRbj19jabiJA2Ao6hMK2hjlwqxe/9oz8q0WjIiIyM4EgncPq0nPSXluRka56YMC7wt7KjcEAG k0luW18ff3d8XLKJ19TwZ/G4+BuZeXRgbo1GJaHk6uom7e2xEMFnMBubJqrWVibV2HDb21lTg1p5kYj4 xDU18WYXCrGWK5ViAYdM6js7QjAgxOEHhuzliHJ9/XVxqu7tZSJ5+bL4mqEOJDZcEJMrV3ijQ0b606e5 HxBVNDEh+ctwaoaWi4l4OJsaBWM9MiLJU7e2eCM5cYLv94lPSOJhU0BDe9vY6E3RYCboRLJUzEszBQfK OiEQwdRuu64QTfgi+hXzRVvwDDsYAhoHaD+xYUMjaR6cZmZi2WTCHR3ctoEBidbFptDVxdfMzPCY4YAC P0+zmkFvryQjRjUJbHTmOziOVOkwNecm0YQpHo7X5vujzBoIxPCwt5wXKjYgQMHc7LDBof87OmRNh8MZ On5cSFMqJYfFRCI3bcHcHPfr8DC3tamJ24X119rK1/T08JyEv5OtFY/FRJNTVyck6OpV/mx+nts5N8fm 45oa7ltok3DggV+k+b5ra97C3zMz3CeQg67Lc7SpieV3YyOPLfaSjg6ioSGuUAKCur0tEY+Li0J4ILvg w3n5spjQIVOOHpW5mk/jA/ISZFIF4JCP6hfDw/x/XJfJiB9iXx+va+QmbGz0Zvefn+fPZ2f5s3vvzV2D aNuZM0RvvrmTTVKcz5yIPRxZAUDYzL0d+xl83/ze9XZASZiFVCqUPUVgAZulS2IxOZkhJxLC4uNx3jjf eksyrUNINTTwRHz9dWH16TQLgnCYBQnIVG0tL+C1NcmIjZQXIBmm2t1xRHAiYSM2BTOZHiag43AbV1Z4 caNYLjaE0VExg0FL0NOzkyVHcIrs62Nzy9qa9NW3vsWbGza9T32KFxfyJc3Pi/Mr2pNO8/eRvBMmNJhX cIqcn5fs1WYY8siImKvOnROBbWJ8XHIYJRK8WQ8NSdJE5GKCKaK722uWMgM1IMhSqbCneO4770g5G4Rk Ow7/jrxECwssTLq7JVy8u5uff+4c981770mCwxMnxHyNYuYwRdbVSZi+HUqPygDwQYSpcH6ehSbGDJGG ROKQPjbGfWlG5aK/t7e5f2BmRxoIbJycpy1Gr70mJAtEBOVrsInhmbOzIqCxjoi8QhGm8VRKrkH74OuB n2YKDmyayPeHJKeLi7xWMTdjMURfecmY67JJ6vp17j/4jBHJPID5G2kmGhq8BMV1Ed0aympcUeHigQck orijg/uooYGJL/IGQhO4vS2BLgB8u5CUGT5D4+O5Jauwwc7OSsoDO7Dj+nVJVwAtUjTKsqG+3t+shUOK aZbDmMEBHX5C8KtFJGM4zPMLjuIgKePjfA+zwLKZNoVInM/xPDMqznGEKPmVBurpEU00/KTm5niMYYrc 3mYt1tIS///6dSkgv7zsdRPo7ZXNHfU2ERUITReRmL1RK5eI18TqKq8haHvr6/foxAl+JhzTu7tlLEDi UaVkdZXnKcz1mPs4KMN6Y4855jg+M/2wTPLqBxTmhnw0NcY4kCAZ80c+Imtqelrk+c2bcqCuqcmvsXMc oq6unSwZzkfAzNQm/f1ewob925z3hd61nFASZsB1eQOZnuZJC4dq5MWCr9U99/DiQH1B+CnAXAmfJeQG Q4TY8LBEpmQy5AnjhzoYGc7NOnpTU7xQTWYPoLwIsksPDbGj++amqHpRzBeRmTDlIHUFnP+RIBMkDic9 3gDC2UUFEtXfLxnyv/c9JgZLS1JCKJnk9g0Ocl9cuMARojbBQimKrS2pK2nWd8RpEJsUIknhr4SIJIwZ UmKYqnlk1Z+Zkc2poUFyd/X08AYHPwqUvEDFBFO1j8W6vR2mt94SDV5TE/cj/JIiEe6b+XmeK9gk02lJ ntnQwE7ZRGLyO3GC28tmCW96gcVF7ynP9JUD5uf5Xd94g/+P6FeQPhRmdxw5QBBJtBaRpME4cYLJIZ6x sCB+fCAcyPaOpMO7u/z70JD4JMG8hjp6MP0icOXGDb6/7TMCmGVOQCCgIUFyRiLR3pratNlZzoW2sCCE C64GSPEA8tnZyWP2wAOS+uS73xVtL1JrmNFzMEGZSZzxXKQ1mJ7mck5ra3wfpLOBWZiIr+vq4n5/5x1u H1LctLb6awhwOIR/EkzOs7PeurRE8j5wj0CEa1ubEBzkoUM+tGLMWqbJ0NS0wQE+HJaam47DhwOYlcPh TNbVAmQGZblAttB+pJS4915ea7bPmWmCgpxCXUlbC2RqT/GMaJQ1tPB1PHeOyTMOMDAv7+xIMmaYnyGv cOA+fZrHD0E6rsttBvGCfx8SWiPBMtqHvIwoDI9ydXBe39oSDRS0utD2Hz0qQWFwf/Hze0S7TH+14WGv uR1zCfsTiFpXF/fBPfdIhCnIO9w9OjvFNcN8ninPt7dFphTSbI2NEa2tRT31Mf38uTCW8HNEoA/mie1O 4HeP2wklYQZYHR6mZJInbW2thCTX1orGA1orZMoOhfj6zU0p3ry9zb8vLYm548wZ8QWAORDRW8mkpCM4 f54XZVMTa5oQCQXt0fw8b1Qo2QPBAIEELQwiNGGLNzVEEPibmzwpm5tlo5uZ4fcKh/lvc3Ni5pycFJME SEQ8Ls+cmZFaX11dkqgS3+nqkhqL8G/Y2ZHcXSj5gpOfqZWAENza4r546y1JkOs40tcYSzOiNRRigbq2 xvcMh/n/0DKgbBQ2cORKQ+QONJB9ffw3EC+MG5yU5+YkYSvCvrkMCd/zyBEes8FBng+bm/ydSITbcOqU OLsTcVuQT259nccJUZtIcYLrIDTX17ldfX2sqUqnuS+bmoh+4Af43q2tUrIK/i3I0I+CykgJAL+hUEj8 z5B3CaY/x5Fi3Ht74WwWcSJ+95kZPvVOTfE9amvFyXthQU75QSYQInGix2YG4Qotnb3RQnDPz1M2gGJq it8PiVdR0xIuBI7D13V08BiGw9InKCoM0+3oKL8D3AzgvO26rBG+eZM/+/CHoZ3Zo5Mn+V3TaXHExyHI 3PiQxiAe57Z3dXl9k/B+GKuVFb7P7KyYo6DNgIYRGrlvflOSaPb28hwB0aurE0dwHO5sE78tS+yNzXGE bHd0yDxCfra5OX4fJg712Xcz02dsb0vKE5DyUIi/C7OsHymFRm5ykv+B6EBzjPQuML2ePCkVG5JJXn/b 21KfsqdHkiRPT0vOKgQsYEzQByB3ZjQw1hfnipPEx/PzLDexHk1CPDlZm53f0LDCZ/bUKZa7J07wu6JI PfwnXZfok58UWWaapm2YlgaYoM1k4C+9JHUy77uP5ymRRLFivM016Lpi4jUPduin4WEp53XXXXL4zUeE cPBEqiRoVu18nXgG+tyMXjbbYLepklASZmFpKUqjo7xABgdZ4JvRZWNjPKhIVfDOOzz5d3aIPv5xESDb 27xgEFnX2MjCF74OWIxbWzyBX3uNJ/XUFF8L5/qFBfEHwGkGDp/19bIpmhoaRCihojyRnESiUYmuchwm efAlIuJ3Q7FYaAhYG5POnoiJWIjCDAZBE4nwye30aQn/TiQ4mqetzRs9BpKBoIeVFRaaTU2sibDzi5kR RWNjcsJMpyWMG/mo0MdYoKur/LwTJ8RPx3G47+DkurrK/hQoDE0kpzbkVEIW9NFRVv1PTjZQLCbalQ99 SJzbYVbFZoaM6g0NknsM0YmZjDhNz897i8HD5wokzXSe7ejgkz8KBHd3s0P/yAi3Oxzmf01NEigAzSlq 29XXCwFBIALqM2IzffVVnpO7u2xWQJQuiK5Zropr3e1lffqIeCyQaw15y+DDBnKKGp9mWRaM5fKyEFEQ 1u1tEbK2FgaA4MaJHDVcUyn+f3c3E6SpKUkOjHqlSKQLwoyAl3Pn+O84PEFDDrMb2mlqX+fmuM96erbp yBEZc2zo0EabbYe2DrkAsUmZG4qpgUJZLRSgRzoWJOTEpoV6hjBDz82JBgzmaaSsQMkbHPiwruCHCpM5 yKcZvfzHfyza0R/4AZ7fpi8Wyvqk09tZLRlkydYWz7f2dsnvhT55/XXRoj30kH9/oNwWfke9SSQuJpIg AAQX9feLBQCuE42NvC6gqUdfot6qGYQAAmKavGG6ffddSRqLKE8U915elkTMGH/O81hD8/MSlIT3NCuH gGR1d/O9amq4n8+c8ZKPeFyyw/sVcYdmCi4scKhHAfDWVlEqgGSBtEMxYJqCUbYPWlD4pJnPNFMaoWyY ndfLJEsYS6RK8iOPyNfpdyioZigJs9DWlsqyfbB42Njn5iRze3OzDPDamiTB7O2lrEPlt77FwgC5f2D/ hhNrfT0v6KUlFgixmOTd+uEfllMwEvaNjPAmgBMINnbbWRgTsK9PNjNsboiEOnqUhRx+NzewUIiJBsyL zc1EOzshImICcdddstGgij0RLz6Qp7k5MduAwM7P871g6iCSSCWz1A9MSkTicA+zC06HUOt3dUltvHfe YSHoOPxu169z3yFhIxGPVUuLvAc0HNCQEfG7d3byOGCzmpwUQo0Eh67r0OnTrIkAAd3YEO1QXZ3kdorH maRFInxqM9MQXL3K/YEC2BDQqZREgGGznJmR/kPi0lSK3xE50lZX+f1OnOB3RK6mREKIHUyI6DuYbjY3 pUQOEROw99/nvw0O8pyCSQoaMvghdXSw2TOZXKVz5/g6RLMiAhWat3BYNJRmjU/HEf+V3V0JWlleZhNh YyO3u7VVtEh+AhfzE6kd7r1XyhHB/yaTkfWzsMBEFaaouTnZQB58UDZXBDngeZkMav1JigVomWBuratD slf2ZyHiuQl/RGyyxZhMiLwav/Z2qRKBAB5oxY8fl76DS8TQEG/amCvLy+xKAHcHHKaamvj39XU+nMA1 A9HhqBqBfjTbB+1TZyevyZs3uc8wzhsbPA/YvzTjMbeHQlI5ABo41K68epX72CTqpu+e63oTUyOKGsXg p6f58/V1yQkIfzUkOP3IR/g50agEzCAnHsx2IOmYsyCPf/7nkmoHbgkrK3yvkye5v9vaxKEd/lSIyEQ+ ST44Z7IpN+rqeP0MD3s1puZc+NjHZI76paHAQdtPCzQ0JNHiGP94XCqWIIDBccS6gAM1kSSDnZ7m705M iAxHagoTMBeaDvHQYM7NsYUDLj4I/gFZS6dDFImIltQvXyfeq9rJF6AkzACz7UyWpEBomycUZCVGNvex MclPBPPhxgZfAwGPyWyW1FhfF9VsMsknvI0NsZHfuMH3wqkdJ7iZGYmYjMX4uR/+sL961SwJgZO2vWHZ tQeJWLC/9RYLz50daLx26f77JcoN0S6uK87fZtACnJ/h81NTI+rj2loxkbS3S6Te+rqY8Yi8jrhIWYFQ 9cFB8ZOBv8q5c+Lkmkox4UOm6Pfe4/GJxcQURcTX4ISbTPI/bMRvvy05qlBoeWqK27O+zhnQ43Ep0N3W xmOOkxwRbyCbm9xvqP3nurzxvfsu9wfMEN/+thB9PBcq/WiU58PysvjkwQSORLfw/9vakk0S/obYpKAV gSYQ0ZEw0yAo5Hvfk+SZQ0M8F+ArZGqpQHIwf6AZhDYR2tvaWr7P3p6YnD/yETmZ436zsxIYcvMmtw8R sghigaYYBMM2N5h+LtPT4sRs+pCB1GMTxWddXeKHZyY/NRMCE3lL5qDGI8owra3x+508ydd3dvI7LS/H shGQMJOfOpVLYrCG7U0EJNw8kIyP83yBRgNm/JYWr4YD2p2mJqK/9tf4/1NT3LfXr0u5GpjhQJaRagNk /cYNnrdIU4O0JOh3uCggBQDSpIDwtbV5Ne/f/vYOnTzpfb/1ddE8zs6Klj+d5n6GedY2O4NEYuNGhCzM jyj71toqfol7ezw3UWDbcXie7+0xmejsFDMgqiaAICBgBWbr2VmWeUjx8OijosFZWODPQWZQvxfa8tlZ bkMigTm4R11dcmgwtT2Yd+Y7Hzki9Sz9nNaDSAkOUvDTHRry5sHr65OE0IOD4qaxtSVrf26OCWAyye+F sni2hcZsi629hnvFxITUtoTGC+uTiCgW2/NESYMs+z0nyGes0Ge3G2UlYc8//zx97nOfo3Q6TZ/97Gfp 85//vOfznZ0d+rmf+zl67bXXqL29nX7v936Pjtq6y9uMdDqULZbd1CQRTiBfyO+EiI7WVtncW1okKgqO mteu8WRCcdvOTnF4R7gxfieSPDw3bogDOUgMNk1khMfGi7w/dlQXHDORiBCOrH7CHgQHv6OgLhy5w+Fw 1icGRaj7+yUlx8qKaF9AQpAFe3ubBUwoxNfDkRhaNDgVI7IHqmqovHF/kCk4gN5zj5wq19e5rSAlyCYO B1+MId4BEaauy20DASFizc/8PI/XqVOihocTf1MTv1M4nKYPfYj7C6p0lJoC4FcG7WUmIyWFjh3jtsXj Xg3l5KQkLkT6AxAq5FzD6RHBIZhL8EHr75cTNMgMHHMHByVpoevy35BiBeH5EITQoHR2SoAFNBMQmMjM T8Tvf+2a6/GPIZKTbyQim7tZ8w2bysqKkG84NiPEfHBQgkdWV3nMt7Z4ffT3i4aTyBvwgX4n8ibJxU+k NoGmBImSUVMPAS0IYjBP264rWoGJCco6DUejTHCQc499IveyY9XVJVF0hSK90EbXzT2QQMuzucnywawp 294ubZuZ4b5LJtlcRcT1TRcWsL7FhDc4KHOtv5/nTyLBY7O5yeuoq0siiZubecwwzqEQ0Y/9GAc0jIxw GxYWJMrbNDfV1aU9/Ynv19RI8leYerFpNjVRVqOIPjJTChHlJtu+dk1K/8Ch3SwxZJr4cBCApvb4cdHa mBUqUL4I2hwQiWiUifjsrLiEgCxj/r3xhswllI5Df3I5qm06c4blHZJ2m9oe+53N6FMzohT9k4+MIBgJ fYdAk5kZqRAAVw8z+AAmSPQfCqITSd1eP5jKACKZ23Nz/JxIRPJA2qkyQqFMlrxhr8V98BP9YxNzfEbk rbFratsqgbKRsHQ6TU8++SS98MILNDAwQBcuXKCLFy/SWdj6iOh3fud3qLW1la5du0bPPvss/fIv/zL9 3u/9XrmaVBAsaBza22MBj2zASGSKfD4o3lxXx5Pp2DHJbI+BNKNB2tp40+7sZAGAxISOw+YeFBJ2HF5I SOWAkxCiSKAV29oSc9/OjmRK7+3lnEsQEkg5cOWK5EpCrTvAnpSYsL297JQJzUptbTibsgKmoEyG2zc5 yX01Ouo1K8ERN5nkxYyTFU6m0JgkEtwHZnJLInGuhJ9VIsHPgI8CnFCRWw2RbaZ2ZW2NF3ZdHY8TNqGp KdEonjsneXUgZN58k4UofImQMX5xkYU1n6DT2U0PPmM47ZsbC3wI4SMBP7ibN/mazk7+bHubNaKdndJP RHz/++7j/zc28vfgh1NfL4ET0PIhYnVpiQnlwgI/7/Rpfre1NXGYhm8LSAscjbe3mQANDEjUX08PP2t5 WVImwMcH9TjNjdX0RamtlfUCwm7OQ2wGiA5MJvnUv7AgfnTd3dxPiJDNZPhw8+67fGjB5uE4PN92dnju E3FbkEbDTNzb3CxkAz5x9fVSlNvM3E4kmkRzc5+b4za2t4u/FdIkIBEtR+XGqKtLcnlhXgdtANhIoA0+ elQOJPD52dhg2ROPe6tnYA2CVMAsvLoqLgP3389rF2tubY3bDn9FIslpBheAhgZ+FwTRQItr51xCihoE LqGm586O+BzxYSyUfVdoamHihSYF+a5qaiSvHw5MmHOmZgXyDP2AvIKmbIGVwvSdMq0DWIMLC0LmcWCG SRrPRLmjlha+fnBQrBR4r+5uMRkvLYmGFlGYd90lPokbGzxXYLZD3VocttFW82BAlJvb0o+M2AlJzb5L pcR6MjvLayuVYnnz8MOSYNe8N/wD4fKBZyAYBwcAe56jr0Egr1+XSOD77+e1gX0C2jLHIeru3vFEIQP2 O5ok1SxdhGwH0N6bpa/uuGStr7zyCg0PD9Px48eJiOjxxx+n5557zkPCnnvuOfqVX/kVIiL6yZ/8SfqH //AfUiaToRBWUkXAR+ZolBcTEQ9gTQ0vhvvu4wHDIv/oR3MzMgPxuPjZRCLiD4Xw9vfeE7NJNMpRkdjM kknKauRQpmF0lIkEnPI7OlhIInIR/g0QKvB/mJ8XM92VK+I4CadaTErzJHn33aINSCaJbtwIU02N5Ctr auL3wUlvb0+cWLFA4DsDfwjkNNrdZWEPkot3NKsCmPlqcD/8Q7QONgRsSsgHY2sDOzvFF+zkSd7kZ2cl NQCKaO/ssFBD/iI4EiNiamODhT9y86TTu1m/FWy0RLknUYwFTvTxOPs3QZOKoIDhYRbQH/+4CCAkr0R2 eyTyHR0VUnvqlGx+Zvj55CSfwLERJ5Pc/tlZ7iukxlhfl6LIHR08D+GT1dTE/9/c/P/bu/+gKM77D+Dv vdvjOAQloBjmTBrgjJUfB40gxhZHcGwzcUobNdFK/EUa019xpu0k05l2Yn61mEnbaVPT6Zi0qW1tmIaZ ShNI0owtVusPqIYQ+Y5KVJRfXg6O4+7gfuzdPd8/jt3bO/YADccifF4zjnC77H72c8+z99yzz7Mb2p54 qU78MElPDx270RjuNRKJ3/Kjv/HGmrEkNrrFsXrirFLxgeFA5DfotrZQXOKNgz2e8Aef/MG+WVnhy/ni yVlsSIs9PuKtUcTZ0OIYTqMR0vlg3rzw+L3k5NCxy3ui0tJCscsH0Yv/3303YLN5I+4sPtGlkOjeYHFW nvwDTWk8nFJPt3hPLLGOiZehNJrQeUacZS3er0vcr1hfxZ7X3NxQz1BaWqhhIV66EvcpbwjxfHh8rMsV ngwkjjkKbVsT0VAAQvkRL4jIL1WKN1B1OiNv2RGdB3EWrTjsQ5xEZbWGzjvR91CLnhQhnkPs9lA5EcfA isvEc6S4T3F/d98dvpcbEC4H4iSnBQtC2xNvA9TbG/qSEy4f4Ztb22wJ0hgv8bm14iQrJUqX+ORlKLpx Jv+76Jv1ir3t/f2humezRV7+lf8vjlGLntwl7neiho7YuB8eDj/XNj09/NkbXbZ1OqY4/EDpGOWTVuRl DghPBgPGvzHtdIhbI6ynpwd3iZkEsGTJEpw5cybmOjzPY8GCBRgYGMDCqAc8HTx4EAcPHgQAdHd3o6mp KS4xCwKHpKQgLlxoAc8HwXEeOJ08PvlkHlJTBdjtOng8w0hLEyAIHPx+DXg+CLudjbtNj0cLgIHnGbq6 OPB8EG63BjduzAPP69Hfz0GvD0Cn843eH4YhNVVAQkKoVNtsOnz6KYeBAR0GBwX4fByCwQRYrRwGB3l8 +imHa9eCuOMOAXq9A0lJQQgCB4tFD7dbiytXkjAw4B/tafAhMTGAvr5EWCze0dsNCHA4eDDGgeMYFi8O jab0eBLhcmng8XAIBAScP38Ww8M85s0bQXp6ADpdaPycw5ECt1sLjYbBbh/CyZMB6dgtFr203bQ0H/x+ DQAGqzXUby3msKeHReS0pydWTjVITubB80H09zPYbImw23lYrRq4XD70949Apwv9rcOhxcWLydDrGYaH NbBYhiEIfggCh//7vxQEgxw0GgaXawRdXUnQ6xlsNh4ulxY3boQGjd1xh4D+fhc8Hi28Xs3oTMrQe5qU 5EZ7+xksXuyFx6OF3a7D0JAfbrcWn3zig8GgnIe+vlB+LRY9urs5DAzwuH49CXfcEXofLl60Iy1NQCAQ yqnVGsTJk2x0WTL8fkAQEgEMw2YLjs7OC4LjGPr7vdLx37ihg9WaDqczAIdDA7c7CIOBAeBgswVgs3lh MARgMPjh9SbCYAjAZuPAcT7odAyMMbS1JcJmS4DBEIBeHxy9ZUMon6GnDAQxOKjHpUue0ZlVPgQCLsU6 OtH7K19uMHBwOnkEAjxOn2ZSuRSPDQCGhrQYGlqAwcEEAAzBoA9nznih0bDRD/RwnUlICEbkXRA0GBjQ oadHgEbDYDD44fcnjI49S4BO54XVysHj8aK3NyDVJbudx113eSAIGqneCIJm9MbNHuh0TDoGq5VFvP/D wyNobT2Nvr7I44hFXm4CAcDj8cFgCG93shwOLSyWFOkLQ3Ozc/Tydeh9dTp5OJ0CUlL8sNtZzHo7MKCD xRK6JDQy4oXFEllngXB97uwEenoS0denRyDAIT3dhxs3POB5BpstQdr2vHkOHD16XIrF7dZi4cJw3ZEf w8WLyaPDMDTo63Pi5El/jOPlR+t9AA6HDunpPqSmCnC5eAwOCnA4dHC7NQA4XLsWwPXrnjH7EwQNPB4t EhMDaGsLjsmJvCxGn2eczmGkpASkcz0A6TNgaIjDjRvJCAQS4HJp4fe78PHHLuh0oVxeu2aAzZYAwIXz 51vg82kwMqIdrZsB9Pd7pTzJc3b9ug88HxxTv8aLW6m8ifvnOAaHQ4/29iCSk/24dMmB7u7gpMuc/PNH Xmfk50XR0JAWFst8fPopkJAQhF7vRFeX8r5crrHnlljHKJZNxiLLnPj55nZrI8r0eLmJp7iOCZsqe/bs wZ49ewAAxcXFWLt2bRz3dgz3318S0V2akhL61pyVNXZa9K3y+ULjJTo7w5c+xG+hQGTPmthKF0WP4RKX R08/Fl+Xt/LFwfHiAHLxspa4vvxbh3y/dXVnUFi4QurdkH9jWLcu3AOn9C0lXgMgxW/QSveKEZfn5IT3 L497zZrI8TgdHeFeOEEI9X4GAqFLeOLd14HIfDc3H8cDD5RNqttfKQ/y9+b06fBy+SXl6OPNyQnP+hLv JaU0pVtcX7zMIb4uztw0GiPvtB8rdvGWBOKYGfmkg+jncYpl6eTJpimroxOVn3XrwuNS5D0j4t+KYpVr +fpiWVJ6yLh8bJb8WXPi9ibTq3X06HGsW7fqpurBVNQfpXogHu+tlNfJxiLmDFA+nyUkhMrK6tVl48YS 6xhixSBfl+PCt4QQh1pcuxaqB0DkzYEnczxKx3+zsYm3Q+G48O0kRGJ9O3euGWVlJdK4PrH+ycvjRDmb KG4l8vru94fHXd3KZ16sOhOrHsf6DJFralI+t0x0jOO9d/H6fJqsuDXCjEYjurq6pN+7u7thFPv2o9ZZ smQJ/H4/hoaGkC6OUFdJdHdncnKo4TWZAnIzxMoqfqiNNzBQqYDIP3TG24fSJVKfL9zdH+syRvQyo9Gj eCdzcZuxYoln4Y51OUa+PNbU7OiY5esB4UsK470v8+dHDiqeKJbxXpM3CsfLpbzbP9Z25cuip7THOq5Y sScnR25D6W+UytJUmWibE+XrZrY53vEkJETOiByv3sTap3wQ+mRNRU5j1YPPUl4nu1/5JJVY25mo7ox3 DLH2G12f5X832fPuRHFPRWxK59LcXKCvzys1WGKVucneC+tm3rfx6vvNGq/OKO33s3y23moO1Gx8ieLW CCspKUFHRweuXr0Ko9GI2tpa/PWvf41Yp7KyEocOHcL999+Puro6VFRUqDweTNlUNr7kYp2k4ulWC53S tfiZYKpOQNHr3cr78lkq9GTL2K18EE7muCZqzM3UE9hUmszx3K7HPBWNqnia6twrNfTkP0/1efezxKa0 PHrW6HTWv6ne7kwqZzNR3BphPM/jwIED+MpXvoJAIIDq6mrk5eXhmWeeQXFxMSorK/HYY49h+/btMJlM SEtLQ21tbbzCIYQQQgiZUeI6JuzBBx/Egw8+GPHa888/L/2cmJiIt956K54hEEIIIYTMSBq1AyCEEEII mYuoEUYIIYQQogJqhBFCCCGEqIAaYYQQQgghKqBGGCGEEEKICqgRRgghhBCiAmqEEUIIIYSogBphhBBC CCEqoEYYIYQQQogKOMYYUzuIm7Fw4ULcIz5hNw6sVisWLVoUt+3frigvY1FOlFFelFFexqKcKKO8KLtd 89LZ2Yn+/n7FZbddIyzeiouL8b///U/tMGYcystYlBNllBdllJexKCfKKC/KZmNe6HIkIYQQQogKqBFG CCGEEKICaoRF2bNnj9ohzEiUl7EoJ8ooL8ooL2NRTpRRXpTNxrzQmDBCCCGEEBVQTxghhBBCiAqoESbz 3nvvYdmyZTCZTNi/f7/a4ajmnnvuQUFBAYqKilBcXAwAsNlsWL9+PZYuXYr169djcHBQ5Sjjr7q6GhkZ GcjPz5dei5UHxhj27t0Lk8kEs9mMc+fOqRV23Cnl5dlnn4XRaERRURGKiorQ2NgoLaupqYHJZMKyZcvw /vvvqxFy3HV1daG8vBy5ubnIy8vDr3/9awBUXmLlZS6XF4/Hg5UrV6KwsBB5eXnYt28fAODq1asoLS2F yWTCli1b4PP5AABerxdbtmyByWRCaWkpOjs7VYw+fmLlZdeuXcjKypLKSmtrK4BZVIcYYYwx5vf7WXZ2 Nrt8+TLzer3MbDaz9vZ2tcNSxec+9zlmtVojXnvqqadYTU0NY4yxmpoa9vTTT6sR2rQ6duwYO3v2LMvL y5Nei5WHhoYG9sADD7BgMMhOnTrFVq5cqUrM00EpL/v27WMvv/zymHXb29uZ2WxmHo+HXblyhWVnZzO/ 3z+d4U6L3t5edvbsWcYYYw6Hgy1dupS1t7fP+fISKy9zubwEg0HmdDoZY4z5fD62cuVKdurUKfbwww+z N998kzHG2BNPPMF++9vfMsYYe/XVV9kTTzzBGGPszTffZI888og6gcdZrLzs3LmTvfXWW2PWny11iHrC RjU3N8NkMiE7OxsJCQnYunUr6uvr1Q5rxqivr8fOnTsBADt37sSRI0fUDWgarFmzBmlpaRGvxcpDfX09 duzYAY7jsGrVKtjtdvT19U13yNNCKS+x1NfXY+vWrdDr9cjKyoLJZEJzc3OcI5x+mZmZuO+++wAAKSkp WL58OXp6euZ8eYmVl1jmQnnhOA7JyckAAEEQIAgCOI7Dv/71L2zevBnA2LIilqHNmzfj6NGjYLNwKHes vMQyW+oQNcJG9fT04K677pJ+X7Jkybgni9mM4zh8+ctfxooVK3Dw4EEAgMViQWZmJgDgzjvvhMViUTNE 1cTKA5Uf4MCBAzCbzaiurpYuu83FvHR2duLDDz9EaWkplRcZeV6AuV1eAoEAioqKkJGRgfXr1yMnJwep qangeR5A5HHLc8LzPBYsWICBgQHVYo+n6LyIZeXHP/4xzGYzvv/978Pr9QKYPWWFGmFkjBMnTuDcuXN4 99138eqrr+I///lPxHKO48b9hjJXUB7Cvv3tb+Py5ctobW1FZmYmfvjDH6odkipcLhc2bdqEX/3qV5g/ f37EsrlcXqLzMtfLi1arRWtrK7q7u9Hc3IwLFy6oHdKMEJ2X8+fPo6amBhcuXEBLSwtsNhteeukltcOc UtQIG2U0GtHV1SX93t3dDaPRqGJE6hGPOyMjAw899BCam5uxePFiqau3r68PGRkZaoaomlh5mOvlZ/Hi xdBqtdBoNHj88celS0hzKS+CIGDTpk2oqqrCxo0bAVB5AWLnZa6XFwBITU1FeXk5Tp06BbvdDr/fDyDy uOU58fv9GBoaQnp6umoxTwcxL++99x4yMzPBcRz0ej12794968oKNcJGlZSUoKOjA1evXoXP50NtbS0q KyvVDmvaDQ8Pw+l0Sj//85//RH5+PiorK3Ho0CEAwKFDh/C1r31NzTBVEysPlZWV+NOf/gTGGE6fPo0F CxZIl6HmAvlYjL///e/SzMnKykrU1tbC6/Xi6tWr6OjowMqVK9UKM24YY3jsscewfPly/OAHP5Ben+vl JVZe5nJ5sVqtsNvtAAC3240PPvgAy5cvR3l5Oerq6gCMLStiGaqrq0NFRcWs7FFVysvnP/95qawwxnDk yJGIsjIr6pCKkwJmnIaGBrZ06VKWnZ3NXnzxRbXDUcXly5eZ2WxmZrOZ5ebmSnno7+9nFRUVzGQysXXr 1rGBgQGVI42/rVu3sjvvvJPxPM+MRiN7/fXXY+YhGAyy73znOyw7O5vl5+ezlpYWlaOPH6W8PProoyw/ P58VFBSwr371q6y3t1da/8UXX2TZ2dns3nvvZY2NjSpGHj/Hjx9nAFhBQQErLCxkhYWFrKGhYc6Xl1h5 mcvl5aOPPmJFRUWsoKCA5eXlseeee44xFjr3lpSUsJycHLZ582bm8XgYY4y53W62efNmlpOTw0pKStjl y5fVDD9uYuWlvLyc5efns7y8PFZVVSXNoJwtdYjumE8IIYQQogK6HEkIIYQQogJqhBFCCCGEqIAaYYQQ QgghKqBGGCGEEEKICqgRRgghhBCiAmqEEUJUIz4rTvTHP/4R3/ve925qG//4xz+wf//+qQwrAmMMFRUV cDgcY5Y9++yz+PnPfz5l+3rnnXfwzDPPTNn2CCEzGzXCCCG3Lb/fj8rKSvzoRz+K2z4aGxtRWFg45jFE 8bBhwwa8/fbbGBkZifu+CCHqo0YYIWRG6uzsREVFBcxmM9atW4fr168DAHbt2oVvfetbKC0txdNPPx3R e1ZUVCT9MxgMOHbsGGw2G77+9a/DbDZj1apVaGtrAxDqxaqursbatWuRnZ2NV155RTGOw4cPRzwh4qc/ /SnuvfdefOlLX8LFixel11977TWUlJSgsLAQmzZtwsjICJxOJ7KysiAIAgDA4XBIv7/yyivIzc2F2WzG 1q1bAYSeL7l27Vq88847U59QQsiMQ40wQohq3G53RMNJfinuySefxM6dO9HW1oaqqirs3btXWtbd3Y2T J0/il7/8ZcT2Wltb0draihdeeAHFxcVYvXo19u3bhy984Qtoa2vDz372M+zYsUNa/8KFC3j//ffR3NyM 5557Tmosyf33v//FihUrAABnz55FbW0tWltb0djYiJaWFmm9jRs3oqWlBR999BGWL1+O3//+90hJScHa tWvR0NAAAKitrcXGjRuh0+mwf/9+fPjhh2hra8Pvfvc7aTvFxcU4fvz4Z8wsIeR2QI0wQohqDAaD1HBq bW3F888/Ly07deoUtm3bBgDYvn07Tpw4IS17+OGHodVqFbfZ0dGBp556Cn/729+g0+lw4sQJbN++HQBQ UVGBgYEBaXzXhg0boNfrsXDhQmRkZMBisYzZns1mQ0pKCgDg+PHjeOihh5CUlIT58+dHPF/2/PnzKCsr Q0FBAQ4fPoz29nYAwDe/+U288cYbAIA33ngDu3fvBgCYzWZUVVXhL3/5C3iel7aTkZGB3t7em8wkIeR2 RI0wQshtZ968eYqvu1wuPPLII3jttdcm9TBfvV4v/azVauH3+8esw/M8gsHghNvatWsXDhw4gI8//hj7 9u2Dx+MBAHzxi19EZ2cnmpqaEAgEpAcQNzQ04Lvf/S7OnTuHkpISad8ejwcGg2HC/RFCbn/UCCOEzEir V69GbW0tgNC4rLKysgn/prq6Grt3745Yt6ysDIcPHwYANDU1YeHChTc1yH7ZsmW4cuUKAGDNmjU4cuQI 3G43nE4n3n77bWk9p9OJzMxMCIIg7U+0Y8cObNu2TeoFCwaD6OrqQnl5OV566SUMDQ3B5XIBAC5duiQ1 1Aghsxs/8SqEEDL9fvOb32D37t14+eWXsWjRIumSXizXrl1DXV0dLl26hD/84Q8AgNdff10agG82m5GU lIRDhw7dVBwbNmxAU1MTTCYT7rvvPmzZsgWFhYXIyMhASUmJtN4LL7yA0tJSLFq0CKWlpXA6ndKyqqoq /OQnP8E3vvENAEAgEMCjjz6KoaEhMMawd+9epKamAgD+/e9/o6am5qZiJITcnjjGGFM7CEIIman6+vqw Y8cOfPDBB7e8jbq6OtTX1+PPf/7zuOtZLBZs27YNR48eveV9EUJuH9QTRggh48jMzMTjjz8Oh8NxS/cK e/LJJ/Huu++isbFxwnWvX7+OX/ziF7cSJiHkNkQ9YYQQQgghKqCB+YQQQgghKqBGGCGEEEKICqgRRggh hBCiAmqEEUIIIYSogBphhBBCCCEqoEYYIYQQQogK/h+yopzRg7Ot3QAAAABJRU5ErkJggg==\n",
"text/plain": [ "text/plain": [
"<Figure size 720x432 with 1 Axes>" "<Figure size 720x432 with 1 Axes>"
] ]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
} }
], ],
"source": [ "source": [
"from fbprophet.plot import plot_cross_validation_metric\n", "from prophet.plot import plot_cross_validation_metric\n",
"fig = plot_cross_validation_metric(df_cv, metric='mape')" "fig = plot_cross_validation_metric(df_cv, metric='mape')"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"The size of the rolling window in the figure can be changed with the option al argument `rolling_window`, which specifies the proportion of forecasts to use in each rolling window. The default is 0.1, corresponding to 10% of rows from ` df_cv` included in each window; increasing this will lead to a smoother average curve in the figure. The `initial` period should be long enough to capture all o f the components of the model, in particular seasonalities and extra regressors: at least a year for yearly seasonality, at least a week for weekly seasonality, etc.\n" "The size of the rolling window in the figure can be changed with the option al argument `rolling_window`, which specifies the proportion of forecasts to use in each rolling window. The default is 0.1, corresponding to 10% of rows from ` df_cv` included in each window; increasing this will lead to a smoother average curve in the figure. The `initial` period should be long enough to capture all o f the components of the model, in particular seasonalities and extra regressors: at least a year for yearly seasonality, at least a week for weekly seasonality, etc.\n"
] ]
}, },
skipping to change at line 578 skipping to change at line 617
"source": [ "source": [
"### Parallelizing cross validation\n", "### Parallelizing cross validation\n",
"\n", "\n",
"Cross-validation can also be run in parallel mode in Python, by setting spe cifying the `parallel` keyword. Four modes are supported\n", "Cross-validation can also be run in parallel mode in Python, by setting spe cifying the `parallel` keyword. Four modes are supported\n",
"\n", "\n",
"* `parallel=None` (Default, no parallelization)\n", "* `parallel=None` (Default, no parallelization)\n",
"* `parallel=\"processes\"`\n", "* `parallel=\"processes\"`\n",
"* `parallel=\"threads\"`\n", "* `parallel=\"threads\"`\n",
"* `parallel=\"dask\"`\n", "* `parallel=\"dask\"`\n",
"\n", "\n",
"For problems that aren't too big, we recommend using `parallel=\"processes\ "`. It will achieve the highest performance when the parallel cross validation c an be done on a single machine. For large problems, a [Dask](https://dask.org) c luster can be used to do the cross validation on many machines. You will need to [install Dask](https://docs.dask.org/en/latest/install.html) separately, as it will not be installed with `fbprophet`.\n", "For problems that aren't too big, we recommend using `parallel=\"processes\ "`. It will achieve the highest performance when the parallel cross validation c an be done on a single machine. For large problems, a [Dask](https://dask.org) c luster can be used to do the cross validation on many machines. You will need to [install Dask](https://docs.dask.org/en/latest/install.html) separately, as it will not be installed with `prophet`.\n",
"\n", "\n",
"\n", "\n",
"```python\n", "```python\n",
"from dask.distributed import Client\n", "from dask.distributed import Client\n",
"\n", "\n",
"client = Client() # connect to the cluster\n", "client = Client() # connect to the cluster\n",
"df_cv = cross_validation(m, initial='730 days', period='180 days', horizon= '365 days',\n", "df_cv = cross_validation(m, initial='730 days', period='180 days', horizon= '365 days',\n",
" parallel=\"dask\")\n", " parallel=\"dask\")\n",
"```" "```"
] ]
skipping to change at line 601 skipping to change at line 640
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"### Hyperparameter tuning\n", "### Hyperparameter tuning\n",
"\n", "\n",
"Cross-validation can be used for tuning hyperparameters of the model, such as `changepoint_prior_scale` and `seasonality_prior_scale`. A Python example is given below, with a 4x4 grid of those two parameters, with parallelization over cutoffs. Here parameters are evaluated on RMSE averaged over a 30-day horizon, b ut different performance metrics may be appropriate for different problems." "Cross-validation can be used for tuning hyperparameters of the model, such as `changepoint_prior_scale` and `seasonality_prior_scale`. A Python example is given below, with a 4x4 grid of those two parameters, with parallelization over cutoffs. Here parameters are evaluated on RMSE averaged over a 30-day horizon, b ut different performance metrics may be appropriate for different problems."
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 12, "execution_count": 9,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
" changepoint_prior_scale seasonality_prior_scale rmse\n", " changepoint_prior_scale seasonality_prior_scale rmse\n",
"0 0.001 0.01 0.757489\n", "0 0.001 0.01 0.757694\n",
"1 0.001 0.10 0.745049\n", "1 0.001 0.10 0.743399\n",
"2 0.001 1.00 0.753315\n", "2 0.001 1.00 0.753387\n",
"3 0.001 10.00 0.763111\n", "3 0.001 10.00 0.762890\n",
"4 0.010 0.01 0.536260\n", "4 0.010 0.01 0.542315\n",
"5 0.010 0.10 0.538103\n", "5 0.010 0.10 0.535546\n",
"6 0.010 1.00 0.544326\n", "6 0.010 1.00 0.527008\n",
"7 0.010 10.00 0.520970\n", "7 0.010 10.00 0.541544\n",
"8 0.100 0.01 0.524669\n", "8 0.100 0.01 0.524835\n",
"9 0.100 0.10 0.521302\n", "9 0.100 0.10 0.516061\n",
"10 0.100 1.00 0.520692\n", "10 0.100 1.00 0.521406\n",
"11 0.100 10.00 0.515338\n", "11 0.100 10.00 0.518580\n",
"12 0.500 0.01 0.532103\n", "12 0.500 0.01 0.532140\n",
"13 0.500 0.10 0.528939\n", "13 0.500 0.10 0.524668\n",
"14 0.500 1.00 0.525256\n", "14 0.500 1.00 0.521130\n",
"15 0.500 10.00 0.524619\n" "15 0.500 10.00 0.522980\n"
] ]
} }
], ],
"source": [ "source": [
"import itertools\n", "import itertools\n",
"import numpy as np\n", "import numpy as np\n",
"import pandas as pd\n", "import pandas as pd\n",
"\n", "\n",
"param_grid = { \n", "param_grid = { \n",
" 'changepoint_prior_scale': [0.001, 0.01, 0.1, 0.5],\n", " 'changepoint_prior_scale': [0.001, 0.01, 0.1, 0.5],\n",
skipping to change at line 657 skipping to change at line 696
" rmses.append(df_p['rmse'].values[0])\n", " rmses.append(df_p['rmse'].values[0])\n",
"\n", "\n",
"# Find the best parameters\n", "# Find the best parameters\n",
"tuning_results = pd.DataFrame(all_params)\n", "tuning_results = pd.DataFrame(all_params)\n",
"tuning_results['rmse'] = rmses\n", "tuning_results['rmse'] = rmses\n",
"print(tuning_results)" "print(tuning_results)"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": 10,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"{'changepoint_prior_scale': 0.1, 'seasonality_prior_scale': 10.0}\n" "{'changepoint_prior_scale': 0.1, 'seasonality_prior_scale': 0.1}\n"
] ]
} }
], ],
"source": [ "source": [
"best_params = all_params[np.argmin(rmses)]\n", "best_params = all_params[np.argmin(rmses)]\n",
"print(best_params)" "print(best_params)"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
skipping to change at line 735 skipping to change at line 774
"language_info": { "language_info": {
"codemirror_mode": { "codemirror_mode": {
"name": "ipython", "name": "ipython",
"version": 3 "version": 3
}, },
"file_extension": ".py", "file_extension": ".py",
"mimetype": "text/x-python", "mimetype": "text/x-python",
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.7.8" "version": "3.8.3"
} }
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 1 "nbformat_minor": 1
} }
 End of changes. 51 change blocks. 
130 lines changed or deleted 177 lines changed or added

Home  |  About  |  Features  |  All  |  Newest  |  Dox  |  Diffs  |  RSS Feeds  |  Screenshots  |  Comments  |  Imprint  |  Privacy  |  HTTP(S)