diff --git a/read_cifar_batch.py b/read_cifar_batch.py
new file mode 100644
index 0000000000000000000000000000000000000000..081cbe8e69ddd7a3da1bc769599d4b7fc654709d
--- /dev/null
+++ b/read_cifar_batch.py
@@ -0,0 +1,39 @@
+import pickle
+import numpy as np
+import glob
+def unpickle(file):
+    with open(file, 'rb') as fo:
+        dict = pickle.load(fo, encoding='bytes')
+    return dict
+
+def read_cifar_batch(path_to_batch_file):
+    dict=unpickle(path_to_batch_file)
+    data=np.array(dict[b'data'],dtype=np.float32)/255
+    labels=np.array(dict[b'labels'],dtype=np.int64)
+    return data,labels
+
+def read_cifar(path_to_batches_files):
+    files=glob.glob(path_to_batches_files)
+    data,labels=read_cifar_batch(files[0])
+    for i in range(1,len(files)):
+        data_temp,labels_temp=read_cifar_batch(files[i])
+        data=np.concatenate((data,data_temp),axis=0)
+        labels=np.concatenate((labels,labels_temp),axis=0)
+    return data,labels
+
+
+if __name__ == "__main__":
+    path="image-classification/data/cifar-10-batches-py/data_batch_1"
+    read_cifar_batch(path)
+    #plot the 9 first image of the batch    
+    import matplotlib.pyplot as plt
+    data,labels=read_cifar_batch(path)
+    fig, axes = plt.subplots(3, 3)
+    fig.subplots_adjust(hspace=0.6, wspace=0.3)
+    for i, ax in enumerate(axes.flat):
+        ax.imshow(data[i].reshape(3, 32, 32).transpose([1, 2, 0]))
+        ax.set_xticks([])
+        ax.set_yticks([])
+        ax.set_xlabel(labels[i])
+    plt.show()
+
diff --git a/test.ipynb b/test.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..18c25e9d38cf3877a1df3e1c63560c5ab33c1cb3
--- /dev/null
+++ b/test.ipynb
@@ -0,0 +1,2023 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Question 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pickle\n",
+    "import numpy as np\n",
+    "def unpickle(file):\n",
+    "    with open(file, 'rb') as fo:\n",
+    "        dict = pickle.load(fo, encoding='bytes')\n",
+    "    return dict\n",
+    "def read_cifar_batch(path_to_batch_file):\n",
+    "    dict=unpickle(path_to_batch_file)\n",
+    "    data=np.array(dict[b'data'],dtype=np.float32)/255\n",
+    "    labels=np.array(dict[b'labels'],dtype=np.int64)\n",
+    "    return data,labels\n",
+    "path=\"data/cifar-10-batches-py/data_batch_1\"\n",
+    "import matplotlib.pyplot as plt\n",
+    "data,labels=read_cifar_batch(path)\n",
+    "fig, axes = plt.subplots(3, 3)\n",
+    "fig.subplots_adjust(hspace=0.6, wspace=0.3)\n",
+    "for i, ax in enumerate(axes.flat):\n",
+    "    ax.imshow(data[i].reshape(3, 32, 32).transpose([1, 2, 0]))\n",
+    "    ax.set_xticks([])\n",
+    "    ax.set_yticks([])\n",
+    "    ax.set_xlabel(labels[i])\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Question 2\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import glob \n",
+    "def read_cifar(path_to_batches_files):\n",
+    "    files=glob.glob(f'{path_to_batches_files}/*_batch*')\n",
+    "    data,labels=read_cifar_batch(files[0])\n",
+    "    for i in range(1,len(files)):\n",
+    "        data_temp,labels_temp=read_cifar_batch(files[i])\n",
+    "        data=np.concatenate((data,data_temp),axis=0)\n",
+    "        labels=np.concatenate((labels,labels_temp),axis=0)\n",
+    "    return data,labels\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(60000, 3072) (60000,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#print 9 random image from cifar-10 with read_cifar function\n",
+    "data,labels=read_cifar(\"data/cifar-10-batches-py\")\n",
+    "fig, axes = plt.subplots(3, 3)\n",
+    "fig.subplots_adjust(hspace=0.6, wspace=0.3)\n",
+    "for i, ax in enumerate(axes.flat):\n",
+    "    k=np.random.randint(0,len(data))\n",
+    "    ax.imshow(data[k].reshape(3, 32, 32).transpose([1, 2, 0]))\n",
+    "    ax.set_xticks([])\n",
+    "    ax.set_yticks([])\n",
+    "    ax.set_xlabel(labels[i])\n",
+    "plt.show()\n",
+    "print(data.shape,labels.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Question 3 \n",
+    "### Split dataset\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def split_data(data,labels,split=0.9):\n",
+    "    #shuffle\n",
+    "    index=np.arange(len(data))\n",
+    "    np.random.shuffle(index)\n",
+    "    data=data[index]\n",
+    "    labels=labels[index]\n",
+    "    #split\n",
+    "    split=int(len(data)*split)\n",
+    "    data_train=data[:split]\n",
+    "    labels_train=labels[:split]\n",
+    "    data_test=data[split:]\n",
+    "    labels_test=labels[split:]\n",
+    "    return data_train,labels_train,data_test,labels_test\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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GEhZEC1La5uAc2xhVKUrGWqlOxK4JURyGcXROCDGgzuNCQJw3x+6xVCM4NNp1EbtAlNaSRSlYWa+25VERUGuuiQOpIKqUmknrSk6F+WWh5ILrIIz2uFodpXos1VWgEmLABUNTujgw3N0hIkz5zLC+kHOiToVclJQz59NEXouVoXMLfrXlSaqktJJzptYfX0q72V/GvLMev+ztpqst9mp0qk1JtVJwy2A35LBIA+i16uPVlrSd0VZd/Szr3J0zF2cpoi1TbUlP+/f1nvuZY213bO9r16QQtmCgCpJBq31uwz9UvJgTlaoELzi1Xm90ENvfrNdbKSJUXEudN59lY0vs/7pk2DTn+2PtZzvXw9BzGPrm2WUvre156pbSXv17c6/eO7z3LXr5LGXEToLsNXS2k83+Um3RFKiFkhJVF2o+YRtGQlB89ERWWzyxp0rfniut/LWBTq4Qy7S+xPZ7e79LW9R6qNeApy3LrbVSG5BJq0VT4CyE20LA7eRVG9jfnOvmlBVFS/q5p+ZmP9F8tFLsMidyUapT1Nnvy7KQc0ZL2c+1IWk35yRtjSiLVmq2KsSYKoiQcmUt1heteBsJ8B4fIiF2tlbFI1RqKZQ1s1U4amnvV0ADoJWs2Up8JUOxIK3WatUUVdtcg0GTRRVqxRXw2a6pWgslJ0DaerXVr3XLdGSv6mwzvCrm5bVa+XlvTV21p2qp5NUwGCVbWfjmXF/f3NZyUOsTiKr9LoLurQh2B3c9oypbtrrt1/vGeOUJtyXf9uVt89y3+22Pu34BubyJCubkr1pnJWdDuKvuI56IjbmJs6qO1mJvnjNkwwec5oV5Xsi5kNeVkjMeqwR5gRA9sU0BOGcNnP1j2vAbG/pZkMuG3/rKW169jZL+WPvZzvWbr95yd3e/OxrXHCxy1VhmOwHXvVNhJ5zYzsMPs1tpZYn2+yWgaCdfFU0zmhfWaaF894F0+gOiBacrQqULC0cdCG7EH0bC4QHESniKLTAvn7n27cO0Epz9U9v/LgjhhitTMGdu/V4tM7UsaC2sy0pOC+IDvh+Q0GON9NjShwLFFku9GrlQgach/txTc7OfaP3dgSLC+48nAJaspKJUoOiWJVakAdlqqdRkztbrNg+qTGuGUhh769MOfSWlyrwUqkLuIsQeCYF+PNIfjjineF9wTlnnmeV0ptaCVshTAS9Ub7tgAQMuoZAVSeZUbala1N5FTxgjiyqzVnLKBBVGcTgRzmVlzisVoYijiDAeKofjHTHaCJE3PCZRHJ1YdcdVQRNGclGAYvvSFovmJVNSCxHbHI/enOurmw8RHwIq1h8X1YtTcX7fi8Vd+qDX2ea1w9ycpu6TPYJzbb93W6mWvfpHe4y9sY292OSXlaPVCert9bQqOa9orZxPzzx9fE8thcPYkjYne2KSUuL88kJOiZoW6ny2OVc1SgltFZtaC0Pn6cZI3zkOx4HjsSfE2NLgsn8xKy4KIr5VKD1bFnthMrBjYuxpr+hch6FnHPqWzenuMK/7qBsBhH3Iy4e77sNe33eh0rru2XJxsNvJV0VdprqMJHC6oOkFoUA15+rKPZGVIJEuCF3fmXMV35yr7Itqt9abUPlhYN76rC2yURyqYtGPWo1Cc6bmFS2CK5W1ZGPXiQ4XPeIC+A5wtknX3Jy27O+lAimtP/fU3OwnmmWuwrokalXmNTMnm+uUEBDvLcPcUd2tlH/1b1QtY0sVkcKajNkolUqqG22IbRjig2WuIeI8hFAQp9RSSN7toCgtLdCrYnEc1TYRVaSolabrVYlN21xt8BRvpUFpPapQWgS+VkqywCGJo4qQY7ZZXcy5wlUGy4VM4vq2vd92BdWiLWC0P4jFIzd7ZbvswY7tPFyAoZf92LX+58WpXiedV5nr3iLb3uGyT19XFa/30Y1A5DMSkasHqRgZRNVKrYW0rpxPL9SccWSiq4gY8YOKY11WXp6fWZeVuk7k+QWtFed7nO/ZMlBFqQGc7/DBE7abtymWel1qUSyLv97lZa+kty+ve5XzVTPXZU3EdW3gni1z3UoObi/rOncpEf8QWczVidfPMt49IW8puX15Edcy10pZV+oysU4T63Rmnc5WwnLWN1imidP77/DdE2NxKAHxHdIdkTi2hFu2OGu3vRT8g8x121CUq0H7slLTGa2ZfP5Ant5Tc2I+v7DMZ3x34PAlxPERCT2uj4iT9l395Z3bm/wpsvhmr2H7rGc1J1Fb7UoVNFcoLfp3Fr+64BmjgX60RbZalRLUULzBI13ERU8XI/HQNpv+iPYHnA90/QHnO1QqqVSolbUoqdrrxdgT4gAeSlepUZFabP62FHRVdM5QDe8QGqWc9xHpLXYbDgMijt5B9HZN+VIs44XLxlILmlbK6lk9nJ/t+k3zghZFqtD5QO0gqSP7jBTwMRCDVWOsPN2Q8LXs/77Z65oX66duIElLLq+oDWVzrpfM7MKG95+u6sLmH1vrru2dllhtW7S2ZEORdELnJ7QUJGZczOYLgkO8GLHJasC36ek9z+//SE4r5dyTD73hEeKAuI55nnn37gPzvKBlQdPZIjfpEekQcfgYjY1sdSgLfedYqxKGA13XId4ZOxPsrThL/nz7GXHeMu7PK6+fH4MfYz/buZ6mBXFxr5t7cbtzDW4b6m0jBVfZ63Zz7oohpH2Da0L+vZRstY0WeTUWGy3kaSJPTyynJ+aXT8zPn/DB0/UD3nn05Zk8T3gfSYuBK1wc6B5+aaTNKpQtStnr7a2/JNfxzGdBV8tALEoq60w6f6DmheXDPzK//0dKWjg/PzGfT3THNyiB8Y3ihjtibMTnbDzM9mp7MPHDGdubvYrFzhnxQVXruVYBgmWjycpN4oBgA/Vx7Lm7P+CcY0mZdS3UWnEZI1aJAdd3+LENsA+9Zb/dHfR3KI6skYKnlsSaVmpVUoK1AioM/YG7u7eog9Qt5JDaXGmCXClLJT8nKJWui/hoM3zR940bObBMidBFOgpD2/RCrojUVtJt8+QlUZaZLMpcEpoSToScJjQZzqAPHdFHFgnkc0aqMIwjd3d3jXgjNRBTJS8rJSfrBd/sVc03bpLNuW4gIoBrUsp9T2ukRcDnjtTxuaMF4MJeJ1cO1mkDLWmBPFtkt3xCT99TcwJ3xMtp06DAeKphTUqqyvP3v+f7f/r3rOvMqQ8c+oDzAT884rojp/PEH/74jvM0IyREZ0DR2qFqKPfxeE/fD7igfDwVvFe+XhMyHBiGnhA7QrCWW612ve6EEuKIXU83tEmWYPPcIPtx8D9hQvJnO9dSKmUHdYDBFc2BVmlACieGpq2XiMnCKXchWLiKii5upZV+2bPzNrfVSnHVwBLaAB1abZzF1S2tNxo4qYXqMnmdyMsZr0ota2uOY6W3ncjy0u7+ISfqDzPbfS41r5S0UNNMXibScqKkhXU+sc5nxPe2yZSC1Mts7A9yc/4808TNXsu8d5RrYqyrIG+jBbwUiWzjccEbsrhRHzoF8R7nFRcCPtotdpFusA1AYwexs35ndlCb2k1Ru56K0SvaRzDQEw6KyzgxysFW3zI2pWxjOOoVaaQVzhlY0BieIrVU6wvX7Zq0IFjRRljRglrjOqSWQk7JruPcQFx6YZzyruz4Cu8cPoQGTrTSTq2WWaP1s1bQzV7H/hyC97qN6rjsQVc70GcZxPXj2X6XrZQKVkW8Sn42p6utTVYzUhKUFUqCHCD79gHs/e2hSi1Qk+2jJS1kyWTxiI+oH3ASyWllXReWZcFJJriGVymJWsEVT+gSzttoW5WE85VlXVlTsmtPLlFELYWq1dqHzbk6H6gNBOY3BLF8fvux9rOd6w/r7Ndo4Us2ysX57k9sjrPWq+x027i2ieHLw7WVTHfnuyGKnW+19ZF+fMvhbmFT4hAnaF3JZUZq4Xx6T3EQ+pH7IDiXW/ofkEY2scdz19yTYqPJu1NXQ/Pm+YWSE+v0ifnpO0paWF7eMb88U0ompUKpQmlgJRQLAKriaqU0BJ/tR/VSnrvqidzs9ezu4QvmOTFNIK5YnFhoiOBKwUjpnb+Q0+dScWrO14kgwXN40xGccDz2/PJXDxwPHSFGumEAcUyrY0q+ESwk1rWyrgufnp5Y02IjPppa1ccxjD0qSq6LAaxyJZ0Ty7JSTivrywIVetfTDT0hBA79wNB1dCFCVdKaIa/IOqO1MriOu5hsdKj1+0MM9J23jKdkpmSoX0ex0QlowBf5AUXcZd2GriMOHaqV0nlKypRSge/+Bmf0f7rmPQRPq75dE0O0DHPfji/nDmQnydn33utS8HXlkK0NeMXspAWnBakLsr4gZWVIz4zlTCkJtySSnNv+bOsoq1BqQFWIrvLm/kDOkS44utCmLLoeWqDonSc4z+Ew8PhgcpDnc+I8GfJdqKR1sXnamhGnnKeV87RQEfqWdKlCzonS8AFbtXSoFfHB6EG94J2NxG3Z9k+ZkPyLEPdfDr786W07P/v4Qivptt8/CwmaU9YWEV2y4Us+uzlZ2oypiMeFDh8H+vEt9Wg6mkUz2pCKuZyAQjm9Z8knQjfQDYEuVpwLOG+1fWNz2qBvjQQTQZzNIlr11lDBdTmRPv6Rsp5ZTp84f/yOkleWeWKeZ6raMH1RaUjg6wyojU00+kPsnXcWnj+d6b3Za9j941tcmHl6WsFlJFs2qlsWVguuSbmJs7Vb6oX8w4lxnD4+Hjgeeu7uBn752y853g14byM3qsL7TwvLxxWphZIy67wwzROfPj4xTRMxCH10jaZN6IcOFWWaBKohlNOUWM+JfF5ZT6ttlqPQuYHoA4d+ZBw6+hhxzpNyIS8z6xQopTCEDH1p1Rdrh4gTQjB8w7xmzrMBu7ro6YKhjL1n1+v8YZtEga6PxMFK6bUL1JTJ+caT/doWPMQA0qoizmmb3zRg20aAcxEN2QCatCSDz7MmNgztVttrRA2uEf2guFJwZERXQnpB0syaXjjUM7km3AIpC6akY8lPwVPoqTg6V3m8OzRJQ8PpIJ7sO6pYZSQ4c7B3hyO//OZLQnB8+PgJPn6iFCWlQk6mqqG5gFOmKXGel5a+bMmSmt5wW5ubq6kKXdejtdB3Ae8ujtW+7084B/+sM3dlFsnCpUEun/nLXStwf7xcPffKiVxlr5+/AVxqpfqD59mbbzVzcQ7nPbWWnau1tptqgZRM7QaMzWl5BhdwXTYNQFxzsu0EaIOsq0eqKZfUbL23spzJywt5OZPXiZpXaslc6BWb4giC+Njg75aJXAcH2qCUW5l5qzvceq5/C2trqZ0n77cSpzTuUlOj6TqHC0KIkRgNSFFzpmo2EvHgjNw+eJzzBlprSh2KUEulpETJhVKSrZtSkJb9bqT9LZew+cTt2boxyFyheEV2bu59brCVSpxz9H1PiLA6e28pmVwEl1rLZasztZ6SYSHK3vuvtVIKTeLOGyeymIJQKX6fR9zKhN4FQMEXpOqfFK1u9tc3Iz5oI4JgGr2NMMTaaNcVByzJcEZovzdh2ZKmH5RFL09r913KwVoLWjJrWmFdWNPKmlZyTkjeFm8bpXQmBbfqQsGR1pVlmaharaURrM1QNVOdo5RCKZmai82Cl4JsLQit+9qv1VpsG0PetR/YbrAFxZekb/t5mV2/8ltXx+HH2s/nFt4kuq7mXP3mVLbo9qoksSGH2f6+lZCbmgFcOeDPHCtsgCbXNARRQaMHIlojsfPkTshrpUwTJRup+TIvqGa8OxN8IcfA7Ff65Q/W4L5/wHcduADBFpixVDZHq/ZeJRfW84m0LqzLwtPTJ9K6Umql5NYvVUcMI4rg+54qkf74SDg84Ic7JHRtgTd6kdb3zdsXbg2OW7T/+pZab9GHQIe03qnptM6dsi5CP/Q8fvGGvu+bULhdQvP5ifn8TAiOYewYmwh6UmFOILniUjGVmU8vfHr3kZQL07SwrFY6HbpIDB4nehmC1wzZ5m5DSURVCkLvLTUpnRL6NucqkFJCtbIuDu8q/TDyy69/QdePvDyfeP/hE+uakI8fWMtHULW+sN9AiLaBFAE3J6oW0ppYc8U7x91xsLlXH3jzcGezvq5RyWH6rv1wAFUyjiIJ3G0tv7Z5EpSJvC6WDKSVnFZqLazTTFpX23+97cPH4yOPb78y8XAJjX+4ES7Ipfxreq3tfgXvqk1naCGniZJm0vmF0/ffkaYXXp6f+fDhHSkl1ryS0kpVJZe043XWVHaHt1Uth+OR4XDE+YDr7nBh5HyeePn0gek84yURgxKC5zSfmeazgQFXKMW+k48BcY6SDT+QgsOvl5ZbrfUqc9+QrC1AqILU0tp2sge9P4Xx/Wc719DkftDm+BrI4Yezqz8seX42A/uD+/6cbaM4Wwt0F2SvHiXgs8cF18oNipaFsi6kdWFZE7UWIjNVZgiO1K2k8gEZenBvkTogPuB0sFWkjQJaxZRKilJTIj99Yp3OzGvi9HRmTRlxHeJHy1DocK4D53HxiPqBON7juwMu9rSooJWXq8mFwVXH1Y5d2WcFb/ZaVpq8nHcOvAmkxz7aSAkrIpXxOPL27ReMhwO2PpwR4VPQMuG80PWB2AV89NQqpAINXkctlek8c35+JufCsiZSNq7TLgSQ0IKubGTjWiEvViGqlaB20Ubnqd7jQ8XFYAT7e1BWydmTE4zjkTdv3nJ3/0jsX1hrYF5W5mXFPb8ASuxMRs5tmSsQ17yT9edUSHMieMeh75AIwXniaFvNUipTtjaM954Ye4v8S216trcWx2ubkEETNZ8ppbDMNq5YSub0/Mwyz+aAgjcAnMCbt29wbgOlyWdi5a6R3+99V7WqSmumoRRqSeS0MC9nPj4/Mb888XJ64cPTsxFATBPneaKUwrzMpJSoObPOE7Vk49zurI1x9/iGu8eMC5FuhNBVzqeJ6XxiPs8ED0+9ZbdrWVjzglZICWrZRmsczlu1JpeMz44cPL4xk+32WWmlVRVb285adxuG6KfZX6bnqlgZFtB2Qf5JE72dwK2MvJ1A2c/UDx1r6w/Qyg7NqW51b+8ayKQu1HSmrify/EyankiLOdWczanuWbI4XCOO0FIoeSUnqOtEdWpEARTjiVWxoX2wYfui5JTJ8wtpngyslFdyrpbhoCBKCILzwfq0/YB0R+JwMIL2EDHM+zZcTSs7N6DW1pflNorzt7CUVnIyQfFaFL9xR7fbVkbaflqP0shI+qGjpN42IR8Q8agKOReUbDOojlb63YB/PxjE33o7bKIWYqAKUdRZEFsJaFQOY0/wnuI8ufXQrBRtAuwqxiqVVY3AIhdTyml0Sm3UHtpPVbfPmLu26ZrupRiPq9oQfux6Ytfb86rhG4J4eu8R5xjHgcNhbNqwK2ldbwD4v4G9PH/Ax8h5OlkJNa1GEVsKlBWvhpRdZ2tLTf3A6fkDXTcQhyNdf7Qwv+3nn+3DXPqvOS3UlhW/++PveP70gfnliXe/+w/Mp2fO5xOfPn0i58w8z8zLQqmFdbVScS3FsutSCNHkFb03fmvfD3ifSUXwYWU6z0wvT8zTTAiwriNBI+IcXTe0ARTbq1UF1ULJlZxW8rrgGveBbJgeNoT8Zb/NwVNSsoChbl3aLauFn8KI8vOda8GyusZUI0Gsr9k2ja2U0IVGMygbumy/rFvmxv41NmStZcL20wvmuAScqwRvpdU5fSS9vCO9PHF+9x95/u4P5FyZ1kwuupc3nPN48UQX8KKUvDKfF2oKLL7A2llprLdIrtZ2kiqk1ejrci68vJyYl4W1CPPqWKsgHqOzc3CInr4f8bGje/ySePcG3430xwd8P+6BEdgxq210ibo5Vlpie5sNfG17efpEKcK8JLRJrXWd9XO2EZmcbR2kXBjGyHgcECfEsDIMxaJ5H3DOoVVYphWRRB8jYehwmCZkDIY+z94I9DcUskghelM08d4x9p7otc0hdnRA7QfGfqTUSp5n1pczWkoTbN+yDmGpEHLlNK+on5nSSqFQpVIpFKyvWqrDVVqfOeK9Yxg67u+PlFxJvZLGVha+GzkMkVoy63KmlkzsOu4GA209fvkVb778ipSyzSueTuSbNvGr2z/++/8OHz3T/IJqJYonbrP1Cj2wrCtPT0+sKZGmZ0o60/UDX33za8ZvftnAnhte5AJ+chj5vdbKeXri+cN7Xp6f+P/81/9P/uO//3vm8xPv/vAPLOcX1nVhniabe06ZnJIxm5V8KQW38UQfO0LfE0Lk63klqe3b6DtUYZkXPnz/3ni+0zd0fU8/DBzfPHD3eG/915Spxahnn55eWNfEfAqcng+ktSN1kbXrECeX61SNFU1VkZoYgkNzR70b8JjimzQpR+qPb3H8BUZxZM9cgZ21qP1xd6b+qp+z8VJu/9+p/67K3zuQGN2BHn57Lad4qcabWY2pQ9OZPL+wnp/J1WS/ilrfTEJoDta1+T6biy05U6RS10CR2gIDZ4TSxRr/taoN6q9qxNDLmbyu5OoouaOqB0pj7VEUm5VyPhL7nm484OOAi9H6c1vjXy+96B9WJfZs6WavauuyomrACYt8LyCJ61ttIB8wykTvHNSI0PrpKmw1tZIt+90VStiCxkvmurGXOTHFHO9MFcl7Z8oercoTnMPhqV5tZk8hCYRiG0rOhZSygabEAtZSTZh9zcUyctRo564BH1oNtNU0x2zjscy1uKZi4owMvut7YhfJWXDJKjwhePq+x8fIOA6MhxG/Jrz3n+FRb/Z6dnr5gAueZTGKwCF2SOxw4izBcB6pmbxMLMtMCJ7z80BeF/KbN4jmBpbz+3THBr3cdF4RGyWbpxOnlye+++Mf+Md/+P8xn595/8d/ZJ5OlJRI62KguGxtEbuOyp/scS52xH7Ex8jx8cy8LLgNLJgL67IwnZ9Yl5V5uiOlFdcwMl0/WMLmVmrOu2hKLalhb5ZW0q6AEUfEWHDON2dvbGJ57Qxs6MSATbD3l3ew04+0nw9ocpEogbShr3Kh1IQ4CKq4YAAxj+Kr7psIgsn9aNN9r45aTQupVEepjRDat2xVG/hJgbKiutiBO38gnT6Qzi+kdSWVauMvTR7YOdf6SUKMQhci3ildKPShEJzVmTcUZ14XnGjLUgq1QsqWXRh5u6dKNGUJH3HqDPfeoOU2yXNdelOKVuqyIsV6VBtSzxaYldZqFZoGNahaH+5mr2quzUwf2ghWDNj52TaChhZfTi9oXtG6Iq5YxUMX44pWJbc2gp1XO7+ycaVi83W77aC9VhtWoVRYU8Fl5eW0oIDz1uMMnW+ZpUXdKXhWydSSLVjMBsZb6cgEfBBeTs9My8KyTpymF3LJ5LIQ+9Acv8fvSPYW2DpHjJEQ4PHtI+P4YBm6U7woy3zmQ5kpS8YHZ9q10eGl2jxtzfSd5+7uQEo3hafXtuMQGMYeeYiIwLEfOPQjTpyNs4jjPE100THNE1W8jRWWlU/vv8V5IcaOu8cvGA7GKOdsOBUtmdRQ7st0Ym63ZZlYl5mcM+I8IXS2lnJuANe6B3TAVr7czfZqmwkXcUbyQGE9nynLQsoJzTOiGdG8qzMJHu+sVZGqtQOtFDyR1pmcerQktIpBXYqVQ9eSQITSSta1FDRnhhgpeSCtD63vahgYy75/POf7z3auRz/QSUfZUFaaKDqZA+0LXqqVwWomSIPttKZ4xaFiEXjNAsn6jqkEUjGkpnbR9DA7hwSHU4V8QtOz1fqffs/66VuW88w8T0y5opjKh4ojBE/sO7wX+t4zDg7vYOigD9qGnme0ZkpdIE2gmZwLa0qoCoWRwkBWKBKoziQdfIyIOvDRBAPFGV7JVdRVqrSydynkaTYo/FVb2XoYTWGl6s7Ko6os+Ubc/9omLtIPI4d4sItuPZOTlT5pZB8lrbx8+oD3jmXqSemFEDxjHzh0LZucE8vaImddLTNMEeqCE7F1xaa4dMlmaX3Pkq2/D7DmwstpJXSRt1+N3HWREDrePt7T95F07li6bPRyNUHJFBVOpWeukSUXPn58x5ILKc8s6cUoGtXRj52N9lRBqrEvbWxlzjm6LuB94Df/8l/wm3/xrxGB+fxMWiaeP33gfP7IWmZCNGcfoidKgTThauU4dojck9abc31te3OMvP3i3tRggufxeMfj4R4nzrJRPKfzmTf3I6fzxPuPn/inb79jyoWcZj59ekc/jPzmX/wrvP/GeLCHES+BVFbWlpWeXz5xev7I6fkj59Mz03Si5IzzkdBbnmtruVBkk2vUyz5ojgAwrELfD4SuwzlveIVSOD99Yjk9t0qSSYlSk1UXK4hEgj+gWpjLE+s6sywTy/zCPE2kpafmxTRSxKQkUUiNRGJdVj59+sS6rqzzRB8C4+HAV1+8acBTIa8LKWeWaf7R5+BnO1cvzlCNrc9Tq1pdWhpDRilWsJaMyMaGsW0ojbRBxWZRsil/aInUYrOl6hQNHq0OSpsRLSuaG3lzXhr9VWoHnx2YQRv1sfKaIzQqOu8gRPBecZqRtFoNumJpf7U5qlpKK7G1jVA31In1p5waWvQyZcxn81UbtLxqtRktMlza40aXtzvXi+A6QLn1qf4mJmJUfiKC5kto3Vr3rR9uSkY5CWkNaPX0HjS6xsBVW2m5oJRWdnU2z9rI7bWVmmxWdRtRM7Bd5UIpakA3C0RLqVv3pZH0e9Sb8k1FkGLr0Klg26eNTKS0sq6JVGbWbM6+c0bFKLoRr3OF1m8tlBjwPjIeDtw/PjZwh7E1zXNvyHzZ6BYNH2EgEiOfEMB7T/E3/MBrW99HxqHj7jAQQuDuMHJ3tMxV1Nuq08rd4YAA52lq89LVyHCmM6Cs60xaF3yshGJZsNZWKalGEJLbHKuNtmBrMEakjbFtLYwfEuMIF0k3e5r1WJ1rFT41xZySDYUMhrfZ24Wtf2gKTg2z0q69us3ElkytuVWfDD+xz2+XsmvIpnW93FIipmQMTjmjbZyn5Ewpr9hzHUbHYQx0IVKrI8+ZND9DSYSXT6ieUKlkV9DWU3INNqzaFNyq6UDmJRtdYInUGpCuh/u3SNejWUhFzL+mE5pe0JKodcW1of1u6BgOppnqgqHIDuPA3d2BEDzDGBiG2HrAllVTEuhq0Ep16EWjGm2lZWNrspmpzjt858hVoLi9BJ23jkRdqWUCqZQ04dKZooGlQq4R5UI3J1It8IC9z7zZdJ5+7qm52U+0tKzEmAidIcYRdgWPbog4G+hDajZe65RZzjPZO7wWvGaqwtwyV+eh6yy48x5qA0OUkinZqAdjcATf4dp8qPOB0+nM9PETpRh/rzghxswwPCMoZeg4eKhLR11fyMuKNg5XLSulCsuambJnWhLTy5l5SeRqN0WJw1Z+a6TkwfqswzAQfCB2A8NwR+w6fv3b3/Lbv/sNtVbeBeX5k5LTRD/0dHOHc4aKrqUyvczk/N4OqPe2Md0y11e3/+J//q/44s0jQ9/hnaPvOoaut9ykidiLHPjlN1+TUmIcR8R75mXh6TzzfJ5Yp8q3v/sHnj5+oO97Hh7f0PU9vvX/qYXp9ML7d+85vZwQ33F8/BIXPHHoccHz/OE9H/7we9KywNNHcrKRLUPCmmPcgVLiGu1gwAGaCzUn1nliOr0QYuBwHAghEoNhZ4RMzRNpfqHWzPnlmdPLU2PKs35ySiu5ZELJhu5vTjvntBNcqBhosNTCtJxRKt9/9z2daxXUFhecXl5+9Dn42c517D13h4DmilbHWjPL9EytE+X0e8r8jkolB6U2UISP1i+qpUX4VSnnmTwtFBVy6Sg1IMMRcb9ByhGSkK1EjuYJTSfLVEvCexsdiH2kH/u2mCLOO46HgceHo4Euxo5+6BC0ZboZTY5cIlULuKYXoTSQVXOuTXvTiad3HSqBVECzGniqbjOSSq0rpThUKiWf8Wmk1MCaYS2RqjQ5sZbhypahGsvOlgGf5/PPPTU3+4m2Litd38AQYhUW7wV1jl6MpKTmTJkM6VhzYpmKAYDIeAoKLEtmSYWu84TQEzuPaKU2zd9SMqXYrF2MGzViz3h8IISOnCpp/cB65ZRCyAz9C2imjj3nKOjaQ54graDZ+sBlIRdYZmFahWnJzM9npjVbFqDFWrtR8D42PmTLXmOIDOORGDqOd/e8efsV/TDy69/+lt/89jeWnaQTWhbW5UQ/dHR9xDln87UKzx+fefn0jHOOw8M9wzhQ0o1E4rXtv/jX/5I3D29sQqMhSwVrPy3zQlozXYwcDwcUOBwO+BiZ5pn/+E+/5+npibwufHc6U1UZxwNff/M143jgcBh5eHhEVZlOL3x494FpnqE513gYuP/ma+Iw0P/+d6ypspxP5DWxPD+36ovNxpqZ55ImABG2ylGxdscyn5nOL/TDwP39kb7rjGwF4+CueTa2vJyYTs+cnp9YltlKwmlhXRdKY9YzDIRlsLkk1nUhF0v8xAm5ZqZ5IpfMu++/oy6rgftGA+ydT6cffQ5+/ijOxjJUVqgZTRO6ntA8UeYTeXoxtfvqUA94Y6Cpzspkhuyq1DRT09TKwgnVgHoHZUG0t1GVKjZgpQVpB2gv24kNOYdGP2f9Ik/XRWL0LSKyfqu2eSUt7YA3VDCtho+JjDRddNkzWXsfaSMLmGh2A4YWtanBfY6KauhP0RZh1YZUY8/YDd+tV4399ktDpt3sda2q2nhLzjhVo1nLTVhwD3x+MC624zPkch63Em+j4/Tet8daAHo1dMWOvmxrZiu7hoBdCw19Hzw2g61GL5fXlSRAk4ZTLVCsR5Ur5CzUIqb8pLUN+utFXk4NMV/bZ4ULSL1Wg2CZbnJjTpPt62/jdNIycscmtLEv4db62MrjN0KU17fnpye8OIKYTqmB02IriV5NKrTH++Dpu0CtkaHvGIeenDPTmqi5Uquhfp0YcVBaB1TVVGoazWEumVIr/oeUl/uGd1UE/jPb29Ya2doj19S4V8VjtvWlDWyoNe/0s7UBrUxLuDRqxB+g/a9aN9tta9XUWoyqETidTrhirGNDOhCHnun845Oen+1cNZ0pp4n08p6aF+b3f8/0/t9S0pnl5Q+s53cmKn13R+x7fAjEccA5R0kLaZnQUkjnE+l8MnRujeQakOMb9PEeiUY8JT5aj0qq1fMdGEtgxUnl2ENQoes67h4eCbGj7zvG9n4iBYcRSyzzM+t8puZMms7UlKg5UZeKVivdGkelUV45MRL3EAQXrJ/lohEIrLnik51E8YqQ8Ah9KIydaRVmrYgUUoGcrxaf27isWoS5kRTc5lxf3XIqTOeJlG1OW6shgp0IcewIMZioOULB5raj9zgvuBAMHYnQU/BB6TrPOI50nQctFnzWyroUfANVOJqEXFXqKpTi6d3Ml4+BUto4UBMMuOszvZtxJXH6lJic6aemtDY+1GKZLbAWR66OXKph7YKh0S0XViQl1vOpZQvR+mJVEFa8r4QukYriszIvK+ezAbtySdAy+qGPHMaBUtTWNIrvB/oHZ5lBreTTmZRuzvW17f/yX/6XvHnzlnE8EkPkl7/8Bb/8xS8JIdB1HSGEhgUwBxSCcnfs6TpHKV8w9J5lTXz3/j1PLy9A5fnT9zyLcD4dWZcJVfj+u2/5/t13LOvKp9PEeV7pc8L3HWnumT59Ynl+YZnOrX1hGISNwGSP2jDyna4fGlFJhw8BrdXWZ+zARwpiwNKcyWlCpJKmyNqJoeCnF8oyUda19YLXfaa2VCNTEWdApvN54nw6taC6UFVZZOZFPuFE+Pb5zPo84YPn7VdfcXx4YJlfEdBU00IpxZzrOrF++iPL+99R0pnzyx9Zzu8NVUtB69F+dzanl5eJND3bRXt+Jp+fqZXWc/WG6kpnpB6REpC6UStaCi9qdFxbZN4H8J3Qj4GH+5HYDSb11XcGFMlTO7mZsk6k6WTzU/NKbQ3rvDb0NS1rFYgeQt2y0I0hyuFdQMXhfEUlU7ZRGgpOCp1TQyRXZc5q2e1GmN0ynOv/AEuDN2agm72qlVpZ18Satj64Qf6dd7gu4DuhiqNg+LsNzGNjCkZ8jkDEKDi7zjay3bkWoVajCHRCG9Ep+znXAlUdwRXuDzZDWms2jWKgj6UN7yfm04KqsObCvNpjQHewoGJiAbUqwdnzC8K+p5VMXhdjI0Pwio2XkXEOUxcpanOyKbMsi32WWva51y4G+i4YwUopFizESBRPLcVKgctCvo2Vvbr9v/+r/5o3b9/y8PiGvh8opTCOB+udekfsglUqSqFqwTkY+kAIDtV7ui4YWc46kdPMmhLPpzMpZ0pa9yLN0/NHnp6NiOI0LbYWUYbzCS2Z5XwmzTN5XowhqlEKXlduNmoy5027OLQs23tP9c64CnxAvLXtqgqlVstWHeT1TJq9OdB1oqb1KpNt4NSrjDXnQs6ZdVmY5/mSFYuxtM0NAPP97//Iu9/9ER8CvzidePziC9Zl+dHn4OeTSGjLtlr/NJdCKka1VlSt7CRNbUZMIUSc31ViKkJVzEEnE701DVTaYHwmpWxD9Go0bbTymSkwpNZrKnu5GDVHaXqtjUhCBG2N/JIraS2sqymTpPbT3s8QyxeouCBFwVU8QlHjcJXWfLdB3koVb4QTtVJqMQQ1pQ1jm/yTuqabmVrZdwfPNUYrlSYG/59QCLrZX9VCNOHz3K59o38zvuoYzJEE73BypNZCFz1D6zl2IewtBAP62oVsFzdWnq0X8omtFOt8Q9s714bcL6QNFn81+sH2GbcStW0WVnq9qHts5esdO2mIXWn6mRs2WQ2jJ62mrSWTqwKVtMAmGt31A9MwcHd/4P7hAFo5vbwwTRPrurJp2CL7J8N5RxCHeg9a8SHgbj3XV7ff/+EPvJzP3H16ZugHvnj7Bb/5zW8AUD3ivSfNifcfPzDPEy8vJ95/NMBRagxkuRTSOhO8IATqwVjBnPektBhrWU57S4O2H9cs5PmM1IymlegcxIAMA0HvP8tcdwk4EYbDkX4c6LqeYRwYhoG89tw/vrEAQBziQ1v7pijlsgWmwVlrzoniqKYk1VoflqHXq0xdrGy8XTeyIeWxsrldWJS0si4zoQTWZbYZ3vUV51xdFdNMXVbysjAvK6d1Md5dhdLAQPgeHwZciDg/4IIHl6jqKBUrPZ1eLKhxI0gH68w0TZRwpq89vgsEHE6NRIJaqPOJPJ2NBzJnvFa06aqmUvCpJ2SLjmyQ2DQ0n19mzs8nSq4mOt0UUSxpbDzIrWSbteLLSogR1yseIThPPxwIsaOqcqjGdDMvM/M8Ix6CJHw9I67nbjhSXCTOlbVkJENV2Ucr7P1aQ7g6TATgZq9ph8NogLopUVWJQQw5Gz3HY8/dw8HQ7vGtOdQYGPrO+jMvE+fnqfVyEqVkslTWWdDs9ot200+NXQQgNAHozaGKFJyrOK8tsxAjVwHAyClqVVI2nEAuFtg21sNmgnPaWiiYsAZWGt7CdNsODTV5njNrsRbLea7kDO+/f8+7776l6zrm8yfm6RPOQV5nSk6k+UytpX12y34UJXQ9fezbNMC9za3f0MKvbv/m//Zv6PqBvh8YxhHvPb/61a94eHjk7Zs3dLHj48eP/Hf//X/Lt999y+9//0f+3b/7e5Z54XA4cBhHur7nq2++4eHxEfGOt/EN4hxPzy98/+4Dy7Kwzie8FEskygxpopSZU5nx3qFL4tgHCA459Di+ZCfW0WrrUGy+++7hkTdffW1tvft77u/vKDkzHEfePn3NOs98+vjBVMlyYp7P1JKQeqAPpuTUSWEh4zXbfl9Wam7XYxOXMMe8YQHadeI20Jf5DyOLeebl43t8CBzuRus15x+/lv8CgKYWpZfastdKblJCtc2cqjjLWpvouGwal02ct6rY85KNJ4iPIB5XimWWKVu/q1bL/tSyU635krk2WkHa30pJTWnGUV1EpOkYlkpOlTVlliXbEPGaWunqMtkssksPGtBJqmWo2/iQXJBtirFRVVUrcXuLgiyCyjiClZaDkLK0TAWbq22pxp6tXpGn3+x1zUcPZWsJ0IBJll3G6Omix8dAfxhMli6Yc0WNf/rEQtW27rfMNZemo8klUlbLXAVrL1wI/NvF3sb2ZAOf0IBNrZtQVdv7tP5885ifqc80ROamSGXMaIIzRKBVhtScs5HsK2ktnE+JlJWcVkpOdF3k49s7Ht8e8d7GL7RF9VovRO6GwLRRuxADOIdIAHGIvxGivLZ9++13OB+IMTKOB96//8A0zQz9YG0G5ygl8+HjB7797lt+97t/4u///u+Zp5m3bx55fHjkcDzw+OaB6N/iY6A7DPgQmed5pxSsNRuq3mGAPG3rYymm/6vQtdJuCI7oPQpk3YQkhNK0jsejZa4xdoyHA4e7O0oxjmoR4RxeeH5+skrnFsQ2gKtvrHiWuepewdwy18tP64zU1vvdbRu7q9rWuM1rp3WhlnwRg/kJbGM/v+e6TrgoDIdHSjdQ6pnCSi0zeX5HSR/NCfUH8NajTKUiVakIPvZWhoo9Ejuo1uepJUFaWdOEpolYBDggIqZNuJjawzJteq1bZgCSwVdz5iqBwguqcDrPTNNMyZnp/ESaJ2hTqlAtGw2hydlttIzwslTyVHC+8LQ+E7uVYVj5InmGoTfh6JZorutMTavpCK5nshckVqTLOKcEL8QYUDEQSN02zSuWgs+Qcjd7NQveAp0QrMQfAoSoxOgI0RE7h28bhPOeUiovz2dqqTw/nzi9nFGtlnm28j4057j9W0B8bTzDao4428Ygu5PVnW+YNvxuzGbt9aRF/NVAdojuSN/NtrKwkZjYmNemiGN/aorFYiTs0dmoXHQWSAanRF8JrlDSmenlg23IrbVScyJNEyUnztPCy/NEqZWwKGG20mHX2HZyvoHzXttEHMEHQrD+pSrWO0+J8zTz9HLmNK2k7Kg1EuORN4/fsB4Sbx8fePPmkcNh5Iu3X/P27RfE2HG8vyfEyNgNDKFjWVa++fIrPv7qiZTzLmoisAeMXoWgtpZDQ84rurcOUylMayKXCs6hjZhEnTInoyTMVfckTcWj4m2ksWkXn07PfPwQ0Kqs0xnNxlRGLXswqJujhdY2UULjz5aGfBcnaMrGfVBtxrwL1r5c5omnjx9/ks72z3auZXnGd/ccHr8CwA8D8e4tpcysp38iTd8hUgmhIq5S2ajdFFEI3QHvC3E44vuDgYpmQ0CWtcfPzxQf6XqAe0SEvE4sz0+UnDidZs7T3EYILDsQt+CnBURYknJeKikrf/z+mW+/f9kjN1MzgfuD0kc4dB1DjARvOpy5OkpVPp5nPp0XG5hwK4rn/njgN7Nydxjoo+PQOeuT1ZVaV5uZmgTqiu8z/fFrgq900TH0EfECksk1G+2hbPqJNm4k3v0nj/nN/joWg62L2EUrC8dKFyuxc/SD3Wy8K+Bd4HSa+PThmZQyT59OPH064QSOx8jQe9tg2msLhoTbwjYn1k4pa0ZzsYqFk/1Cd74xgdWEsZvRKj5WuRFXGvOX4oNeRmia4tLGhYqaeLRCi+7t83h3QcB3vpVjfKVzRurfuUrnC9FDWZ54/miBxzqbZiZtzldr5eU08eHjM7lUQrfgu5kQA/dvHzkchXwrC7+6hRiJMdJ1PV3sADGFmGnl09MLvhv4+HxmWYVSO/rhLd/8wvjV337xyNs3D4yHkV//+rd88/WX9H3PF2/f0ncd0zzz9Mtfk0thXpYmI2dgwNzGri7EEIIX30Yl/U6Uv+RMKpV5WXj34SPzsvLx+RPfvvueNSVyyZzmM7UUkhaqMzYy9QH1gazKvK74DB8/KHU522hRaeM21w625DamllE8VSwSjdE4iUWk6YALWQ3Nr6UYTW7fUUrl/PzM6XT6SWNlP9u55mWmjAdC19nYSugJ/RGXAzUd0XKy2T23WEqp1itStd6lNbN1nyGklcA2kIYRLTRBuqYnSJtHqqWl+3UDeVj0LlUBAzPlVElLIeXKPM2czxNVbfE5H9qmJG2mtZFcOCM/FxUQpRRYs5X7jJGpEvzKsiZiCDgc2dkMrRG9V0B2ei0J+VKy3krO7nqOi7Yg2z9vWevfxBxtlNqB1qZWs5Xwd9OmXayUXFiWREppB8WpAzRwrRcptBdtfXRbx5Yh1kZAIiI4fCsZt7owWFl1y4DFPlNVh3OV9mZ7yVgaTaf929baPmLIpawssgE5dP/efkPB72h4c8aCGu92WjGeWCNzoRpntja1k5xKG8b3VKy9U7I5+A3EdbPXM+csEIzBnCzQVJOS4VummXlZW0JiUoP9cECrMo5HxuMd4zjQ9yNd19P3PX3X0XdGxl+KATdjjPR9by2GnC0DZZMSVRy2n1pf09iOalWWBpyKy8KcMj7OzGkhBE+pNqtd2phQbbPe2x5t0DsorcabcmJdZW97bBqtl3LONeDP7tMGTN2C2ktrxp6rLQDeJOlK3XSeX9G5/sf/4b/l9OXXHB++wIeI90rnA+rAd/dkMqqJUj+hajV6bQTOuVYb+s2ZZUksS0PvFsjqiCFyeLhnfPOW492BfoyE6KhLoPY9JXgyAXXDznxUFGtab/p8sdLh8UX54u0BJybDVZsYetc53t4Hht4z9h33jSoxF8eaHSlX/MtKTU1+rhaKKjlCSTMlC9l5cgg2F7sV9QWqZFwFryt6nggyMedIykIuvgUZ0kZ/lMpF4ug2eP/61hnwG9/CHE8lUHEq5GVlOtmaKcXITl5eznz88ERKm5aqbWquMS7F4AmDscmI8/jQAaDzRJonas48vzwzPZ+sjDoY0G8cIiF2eCdAsZKxgPfVQCJqKjmokZ34Bn4yXlZDA+dGSp5LYVrsd8UQlTuSuKHpYjDQUwgAQi5qfNyhBRalkJcVW9Se4JxtpldcrQ5DIxvhgM3d5mUlx3jLXP8GNo4jj49v+eqrrxmHEe8Df/zjt3z8+MSnlxPD4ci8JE7nBK5jOA4Mxy9w3vP112/46uu39H3k8e093d2Ic44pJdZigiZTEzqf88qSVmrVRiRhClIbFsDaddqCOlNeqrVaUJozy7Ly8dPHJiN3QtU46A1/YGxKOVsis6bEkjNLLlSniK9UgWVVoma8cwyd0SP6LUHZySNakKfaglL28TXz2C212QgwtAkJdD2lGBJaqlLcazrXf/vfMz995Muvf0PXD9w/3PPwcN8kq+5RL+S6MK2rgYYElGRA7FrJa5MuWldD7ZZKqkJGIETGh3sevnzLMES6MRC8oENEh46SgxFoeXOqFCs1l5wpq9XrRZTeN4IHlLHzlKIsc2ZdK33neXs3Mg6Bvu+4vz/gvWfNDp8cPhW8e0az7qNBpRZy58i7cw2krLYZmi4diJIpkBWvK3Wa8XJmrT1rCRSFUppz1Q1g0jJ0fppu4M3+MjZEWLKVSxU1mUQx5aS0rKBKTpWXl0ROhdNp5tPHZ0qt9MNIPxyAi3MNMRD7kRBNfit2PYqwqoPVRtVeXhY+vnsixMjhTgldRMRzOHq8KaSzSRgaK5KVZ714rDoCxds66rqOGDtUjax/U3Zac9mdqyWx2opF5mi7YKCqrnpC9G3ExypqABT7/pY5dwa2c0Zlts/XYuCVnAu59bfyvFKi6WPe7HVtHI988cWX/N3f/QvG0Zzrt3/8zkbL/vid0bmGSDc84EPHOB65e3hD10V+8asv+cWvviB4RxeNHazWytRIIHIprGml1MqcVua0msNcTe5tA/Opqo3z5DaHrbJjBZZ5Ia+ZlFZenp/JKTGnBTQ3MZMKYsIXKSeWZTEfkQtLsaBOpJpOeMr4okTv6WPEu+6zlowh9RtjU2urXOyHTlj3Sqh3No5WSqVmKy1vsow/xn62c13mZ+bzyOn5wLr0OMk2tO5AmIBE1byPC1jJt6X2rWRUS4v8dXMtm8pMm4vdpLBqpbAdnCtwBva6pRj60WZmbYDYcEINoSkQveBF0SC4Cl0wykTvGml0ZyxS1RlRgAfrkwZHcYp3nqJCHxxum4tqkRr1cx7PhlLay9VNx6FVK3T/uZ3iHf5yqwr/Tcw5o8nse8sIu1joYm1IW7ef5w0VXxuAThtKYqcHhD0S3nQwvfdGPyeyj9+Y+odcoX5bW6PNmTrvUG3MSbLdLp93A2fAZQxHWt/eb7PdqoQY2uZ2uTkqTvXymTdkdLW+rMrFERsQ31o34gXnZUcm7yVp7HW27xVioB/aGEj4+UMJN/tpFkMkBKOA3Xjcl2W2NkPO4Dw+9CgRH4oJR6wroCyLjUD64Ei5OddWvdBaySU3h2k906WJoZtzzVaF21on184V28drtZHFtFo7ZZ4na6vUhsVpHcJtT7ym3dxLt9cPamHjNgOu7UK6pjzkaq/dTBrOHRpWpwFKd+Cgd3gfEKn03hNUKa8JaHr6+O/J0x/5/e/+B8QFHh/e8ObxLSF4jnc9wxgRX/H9isRGLtFYQXLKrPNi5MypUqpvYKMBkYBzB2qNlORZtXLGdGLLfKaUmVoMqJSSsqbC0/PCNGVyKS0LboP+XcA5CFo5BENe3nuFUfFeGTrwAcbDyPHLXxL7kXmeceeJLiV+cR4ZSm8OXLxBzEMgdsZ7k6tjytZW8y7ifbfFBm11dKhEkGAN9Qq5Scztm5Nz+BYVCcZgdbPXtdgfGfsjh7cDIHhX8GJE/usykfPSiCDM+YIjhIjTShcDXWcMN4I2WTpTi+r7nmEYOd7dGXK4VErKuDbv6hqAaeMhjp2R+MfoyTPkOSNUQrASbm3l4K1/VHXbILaI3nE4DEYUkDI+BFLKTQ7P2iUlLdQm/LyN6lCNRtTGasAqfILkilEeQhhNc3NdM9OUTLCiNEcNjPf3jA+PdMPAL/7uV7z58i3LfBvFeW27f3hgHEYE64++vLzw/PzcZrJcG5EKhDjgfGA4HLl/fEOIke8+HLj73Yjzjn4IxM5aEFqs5VWplDZ6ta4zaVkaO9JCSdmkR5sM58bXrYATjxOTTjw9v7BM9tznjx/Jy8pwHLh/PBKCIxchOVAnxOApXSCXxt5UKl4q3he80KY9ANzODb6pNNUdk7MBDi7HyGazm5Ot5lyrtiDSGdqde7u/H0dC15HSyn/1//i//6hz8LOd63T6luVFOM+VqsLj/VueH78kdpEvvvyChzcPhM4xPDqic43ByOb0Uiksq3H65lwpKqAO8RHnepzr0GrI3ZILiy44KppWqEalZY3mSkqZ6eXMy2kl5cK82IU/DhF36AjeESNGkSiGDPVgXMAR8NB1HcPDG+J4h56ejT82OR7vOobF4OwaOnCBjHDW1hVQZbXWGFECuK5FWEbW78Q3T2udqaoXcfQtmDIqvQup+23O9fXNx5HxeEcY7w2ZqwmppmDz/DGT07IHQ4bwdk0T1eGDzfF5Q7VZ1UQvcP+h7ziONko2TzPnrqfkYhmmd4h3TY7RHHbfj8QYoCzU9YxIxfnagEyGG9iAF2htsfs2a2prue+7fX47pcavWmyQfp1hZdOM3SJ/2X9HL+j7UgxVbIjPQOwipfXRNjWoTQ/2MI68efuW4XDg61/+ki9+8dVNPvFvYIfxQNcZSlhrZVkW5tmo+3SLpsT2WhHXerATPgbicyS+t6BvOPZ0fQQa3SyCiqLOVkxeZ/KyWMl1WdGmf1qDzTob+Mj2Mu88vlFjPn96YjpPrPPM87v3pGXhrb7h4fFgaPmmD+wceO+IMRBSwIeA9/kyH85F+AKxCstGELE71qs+KoqNpMHeE8aKjjaups0DO2eg10Hx3vPw5i2H4/F16Q8Po7foSK20KzKzrk9ojSxLxzIHqnq6MrRaUyNJbhG0OI/4xuwyHhoY06jkVAvz+QShI0YYB/BOTQzaRxAlhEyIZd8AoFBLYponA5oU4zUO3iGDJ4ijiuBD0yRsABCpphjiqv3uWhlZG0LTNRCH0Tpm1qqcs5Iq4At4BecYOmWoRjzQ9zbEbcToAecCUk2o2Jr77TO3OTC3l//1P3PEb/bXsm4cOdzfM95/YUo2NUFTA1kmIx/3HnwHQTxF2/zdhvPWiiB4hzla1/qabU7Vt1nWGDxDF6m5Y+h7hn4gdh2Hg22Ih8PIYRyMjCEFylXQtRWzfHPG5Epxed84ajXkcamXDUbEysRgmWit7lJaa6WxbQqMvfxmiOGqFyF0S25rE46uphi0jf9sh2BHY1a0oeV/CsLyZn8ZW+aJqYv0XWcYktW0S8H2NLY2g0ttJlYoa4doILlEwdoSVTPratKEViJ11hqIVmUrjWtYS6EuM3VNSHOsP4DZt9aYNmaxsqPs13W9uqV9XLM0YiLdaEO3NoaTHS/QOnPU9jdrNeqf7qG6L9G9/Luj6qWpR7W170PA1UrxBW2EQOsyW1D6mvSHv/jVESkrw6elkSGvvDy9b0TmMzVP9MeB4f4r+sORWgrrkig1oQVc7HEhEp3jeBitHj8tbbRh4fs//h55/5Hj3YEvv3xslHOBob+3AyQrLiScWwi+AgvLOvP9u/ecp5W+jxzHgRA8X78Z4c1IDI4YO6SPhhyrQK5IqrhkM7m+KqGNUsTgqZ0nlcI8L0ypMKXK96fMnA1wXsQjzvF4d+Tx/kjXRYbhaw7HA647ELoRF0e8NhkvNYq6rfgrDbsCSsmXUt/NXs/uv/4V3/zqV3zzy18TY6SmFc0L0/lEms/ML8/ghMEJoQrlyVGnxc7XLhcHXRQOvafrHEEyjkSQTPQV74W7MUK5YwiBT2/eUpZM1/e8+fIt/dDz5u0jv/jmC3zwfNAzZfq0E+YXrTjn6XyPc451zZS67NF5aSj5dV1aRmuO1TtPdgJN+tCAGf6qsUUbl0goQsAcsbKJVJiDT0tCi7AuibRk8lIoqWJ7kzT6m4rmwjrPzKcz8/TjlURu9pexd+++Z1km1sVoCD8fiWoBFGJ6ryJIumNwmRoC5ezIwZyji52Vj0OgHw+EEIhjpL8bcAJpnsgvT2gulJcTdV5w40iM0ZzsFZpkH2nJhWmaeXk5s0wTn56fWecZHzyHuwNdF0mlkGppikvN0aqRswTXVMm4aNSmYvKJSYzPPSfj8t45U2hVwta3tYzaCtyyDXioZdfj2AOwqiLFkPYfPrwjrevrkkgcxgClsCxq6hjrSkorTiLrcmJZDrgItUEPNyRZKXWffRJ1+E7x0VHbzFzJpg24TmfKnPEO0v2dlVg7j/cBBHxUgio+ZXNQVGo1FY/zNFOq1dVj8NwfAqn0iBPq1ntQZ5R31Y6+VN0z121ZuG3IeJMtKiaGPc2J81qoOEqDmXfBMfYOkdoy64ALLWt1oXFUt4hOtihqa9RfhVfcnOtrWzeOjHf3PLx5Q9d11HWhpoXgPX1vzsyJEFwAdbi4tMy1WSuxegHvjbXLyabTelFVit7Rx4h2Zc9c+6HncBjph4HjYWQcB7wXTjE2x9bmu9rNgCoB5xQnzgbjuQgDlFLJLuNk08d0uGqfX/d1t7UeLsxQe0YjW+IhDZzYsoRSybr1tHQvu21I0L1m3sbhcko/iTLuZn8ZW+bJWmEN1LSnblfdJifSNKiF0nnqOiEaSUVYkzEiScjgAyFGcJ5SKwQh1II6MeWZlNCcqetKXRbwRhThPrs2ZAcabdUPE2VJllW3zHptY1tlo/esFzUbbdmp2wD0NExre5xlrnrJXPUK73Rl1yyhGxCqTUEieHwICJBbu4ZSWJeZ8+lMelX6w2qMM95bpDuM9pLOBQ73kfEY6MdgRP3i8LHn4J2RNtsEvZWR0gldDWlGK5duotHeQd8FhsOBYRjoDh3hrrNh+G7BpxXXLXw1JfphoBufeTpnQn/GNcSxc47QHejGe2JwEDzFebQoNSs1Z+RlInz/jtidyTWRdDWS5+qQeMC5gi8e7zJSF1JdWHJqpW3jL/betX5Xb+MZ4xHCaMwiW3fguv7fTrz1FwyRikC9OddXt/N55vn5hffvP9o5DBYsifd0Q8fhOFBd4NgfUWcX4KfvP1FzJafMVDI1R/QRgot4CebckJ2q0znHOicbT9HE4/2Ily+Ifcf9m3ti3zEOnppPaAZqssqJsiPovTdQkfO+zdaaIMWmFlJrxactS3Wt9+9IaWVtyM6UM9tLumDBI87R4SkFXLbVatW41nYRhzlba6EMXSB6z+pcc6ggJGo+U5bE8hJxbmW9AZpe3Q5jT9+FVs630b5af7CnOJuSMNs2JKtC5ALiPf0YiMNIiJFhbBKeXSS2RIHYI/2IhoJXR+163DAQ+wEXuwa+a1WVVBqRhanupGSkE4o58lxNO7g0UBEilKrGA782dbSGppc2MkMD35mJ6YXH2Fp/qbGh0ciGjHhFfjB2gxrvvKHojXNZVKwSu1pwmLL9fFWGplIMQGED50baPR4tUzve94zHSOwjIRqoJ8be+HidM47gNo+6ngrreqaiiNvAG0roAC8cDh13Dw/0hyPDcaS/OyACIc1oXhnTStcPrNOZh+8/cV7h+PGFeamczxkRRxwfGB6+IHgBX0jOout1XShrYS0vLPPvcD7iosN1Hpp2q+sfcLUSZCR2GSnPLPUD52UxlhJvdHddFziMPcM4cri74/DwSJWe2XVU/BVcfPt5maFw3gStVTbve7PXtI8vL/j37ylV6GLHl1888uWbR1yIjMeRhzd3+H5gfPsVvu+hwu//w7ekxVDvKS3koUO//oLOd0QfCOLx4qgpcXp6sg0jZ2q2MbFvvrzjl988mhDAccTFQMkzZWmlYF3ouyZy4aKtRx8YGjFALcL5NFOdUtfMmlLLSiulGFxdq+WdKa0sy9SifIE2R+uiJ7b5VhciWoW0VhyWna5rJq3Wm6pV7foQz/HQI+KZphnUAFNOVsryCYrn/GEhTx3rLXN9dbu/Gwg+GkN6Y7OrTXB6k3rwm8iCN9UmabfaZEN919H1PceHBxMAOBwI0XqxIRjWxncD+YiRLwxHtBZc7PDHOyQGq1Bmw+OkxciC1nVlXhLzYvPiFQHnSUU5TTMhJULsCDFSSm2MUov1X9XG4kQuknGu1XulgZD6cUDXldActThpwUXGVb+T9uzsfrUaEKsqokJozbp1WZmXmbxau3Nd19d1rgAbLZtig+TSAEAubBRy9jhtEUnwEReCATDKVsOWK8rD7a5NIUR3UWrZkLfOysLOR7aB/67vcVSGcWEcB5Y1o2TW1T7bpimrIlQ28XLIVRvqMaM641zC95FI4wCOAt7bALJ4q0U0PVoaytfQooEQfCPLDngfW0Yb2IUAtDXTPzuA+/+u7OZcX9tyskh1nlvAt46N8qzREwab3+z6jtD3dF3EB5vrrGoECqVtJHt1ohVUtSrFKE+MPay2gC96G8cJgdC1Ck+VRsSQrczcUJdqYPOdiWm7SStXb0tI9VJKs3Kc7P3Ysg3gO38ZFWxAJucE9ZZFeKfk7W8GQ7EPsA0SNrUgQzcLIVhg6MSEMESVmldyUvJ603N9beu7rs23biAz2GY9LwC862dcmLt2ZiXVdn4DPni7eY/zF9UucR7nA7gG7qvWBhPfrotKq5zY2+1l23pRdbosQq7KwBulrf1eGrDp6uM2lPrlPlvGcrkuthbH/oTtO+uGrrocA70uMW+tFbueS8n7XPtPofL82c41Dp01xXOPFE/OlTUVO1ZzospEKBW6E32F/nCkPz7gfUfG1BBKLszryvk8U2umrJlqlEUIGbxjPs88fXqiWzJ9yiyl8fNqQXQTojaZq3E88Ktf/4I3b9/y9LTw7t1knJcS+f7DZBmxy3hXqLmSTomyFmpNlHRCVRjvRo4PBguPfSB0hg49r9V4hmvgzeNbxsOB4/HI45tHYow8Ptzz+PBAjD1ufCS7A1kDS3Gs1UZ2amsGiMhFa5Om1an1hhb+G9nLx0+4UimnE8EHyvmZ5ekjVTPPp4lMBA2kImiGEHvevv2CPo58/L5yfn4BKTw9z/TDiXHsjdLQC+owimwwwI+W1uMsFjDSZBK1oXzNrSKxI4yN35TGW+2kAZcqSKXvG3NZQ2LSyl1pLW2D8VdEEc6cbUM5bxutOVhHlA3kJ6R1Q/SLzV2Lw/cdIQ72eg1JOQyOvvWh++DpvQMH2RtgBG5o4de2/8W//peczzPfffeelHLrTzbahK0Xuq2Bq8zPOY+URsMqltl2Q2fJQ/SGUpfG4QtoiNsgjPVFqdRGmrL17zdE+ua4dkRvQ7LHhmjuh4F+GHZk+8ZVXHJBy+U5tD6/tLUucAk2fQOMipEN2VRKtfIwRtO5yXtueGMRj4u+tW8q67RQSuH50zMf332k5ExqjFKlvCKgKfYDXhxu7an4RmNVQUCXRGYi5ArdC6mqsTXg8b4DmSlFSY0A/TzNBolufVhcNedabDbw6dMzYUoMSVmLLYTg2bUEQxUEzzge+PWvOnJR3n8448Izy1I4TWfefTyjKNFnnLMB+LIWalaWOfHyNFFK5fHNHV/UVq4bOmIfURWWbCojOM+bx7eIUx7fPPDNL03kN3QjXT8gvsOPjyQ5klVYsrA0BqmKrTdbzHYKarWRhZ1J52avbuePz7AsrNHjnbC8fOTl472VlbyCi6gGUjZn6UPPmy++YOgnzs8vrFmpmnl6ngnhRMrKwxsl9oai3cr9mx6xsYdUi/rbCBm1OU6ciQjEjuB7G23JC6UkFChNTUlQ+j5Qo2tAEdu8crISljhHCC2A252rrUGboLlUUUw6MSDiqaVVizxtDlcRFwhdR+gHLluT0gXHYYx4Kh1CxLq9z06Zbs71b2L/+l//S77/7j0fPzyR12TFNi756Q6m3DJA2Inqt9767lz7DucdPraKCYbWRbGRSB+tEogR9jswPV+w+egtd9xKsOXiYEGIsYOoJu4+DDjnbEwnpTaOU/aRHC26g+aMIraBnGQLDi5Z6wae3R0w7D/B1qghph19iDgnzOeZ83wirYmnT8+8f/fRggA1mchaX7EsXNXQiuIDDsF5I1SGxplbCuKMj9LlTM6JtK44b4647Hp7ukdA2wYk9Ur8PCfW2fpFOI+6gHOOvot00bdyFHixAxuCIE6JMTYJMaGelGleG6Q7IVLYd5lqyjdrK0kspTKtGV+VhOJLBqSxSNmcbB9dIziPhNARQof30diY8BR11CLkKk3lYaN41M++J22hfna72atbbWWgpIXihGU26TRx1n+X4KARllRc6zFaedSyOFu/y5o4nxecd5zPs2ERnFB9yxCbRqtzkFPFeROWtkl2aRvPNgpzHf03d9aQlGhtfNQA0nphwaL16q8o3dhLxvu/d1DH5f5thnDbqKS1K0QuMFOlzRS2hWoZkPEeO5zNJBalCGStZIScbwv6tS3GziYVdvT3FVT4UoW9mDSgkFwoNq2Ceh1+/fA5lxeRP3cTLm2EttD20nOjvbV56qb96l2b33bkfMl2dX+N2qoydSctkVZWvuqK7Fm58661bdzlOFy/5kYwIU00pcruyK3824LR5oBNw+IVuYVf1sxxCMTxwWbj/Ax+tkHhrMzLjK8VP5nUmxUOHCF2QGnK9VZ+8j7YyGlaKCkZsEksu5tPRhyN8+B7CCMhBL788ivevHlDCI7jEPAx4rzQBbv8xyTcTRU/r/zjH77lH/7pW2NzWmbSuhJi5P543NlMRHqIwqcVzh9eACUX0xf0znEYxzbo3zOMb5sU00CMB0LsKK4n1x7VQJk8dTbmqaUKpW693gYrr66VzYQNw9QKFXu0d7PXs5wycy3MZUWAeZ55OZ/wwdMd7whDj/eZaTbWlmWaqa4goeI7Rxw6ail8/+4T33//keNh4HQ+czwMHIbI/XFo4xGO0HpX3Sr4LreerrHl7OLNrc/rQzDR55QoJUFVUlqstLx/etnHekqpTNPEuq4tei/7kP1GhqKNCEL9Ngpmf4vR4xykVHDe41RaPdsc+pqTrU65bKI+CjUYen+ZF/K0UlR4kY5FhDXdRChe28bxSNe/4ILHeRuhUfn8PJjva/SrIg0zEnCNH3gj/DE+XUWrb2mf23uZ163LsI1wYZzsDhMj0ZLQXHBaCNJY7dLKOp0JMTAcR2IIjEPXwK424pOWStGCVBMw16rUZGvZUwkiOPFGLOQU5x1FlVQyKnA4HujHgbvjgb4LxOCsjtLAS3lNVnqusDbC+7SurPNCKZUuRB4e3rbqjCd6R86Z/+//8N//qHPws53rmisDjr430dmqjqrOGDjKxJoSXmFNC+Ktb5mr4nxohBCRrftjvaHamJCKDa6URKWaDmGZKCqUGkgaLDoTRx87ui4yRo9GI3Pw0dKEfqgMx5UqsKbMu/dPTPPC0/OZ07QwDD1ffy0cj6bxuiGZ17xS1oVaC9P0wjSdiSHwxdt77g4j4u4QvqALcc9cve8pdCTtqNWzZiGrZauZrQxnag9IAxpQjVDC8n5oFGPu5lxf3UoukCt5mVAqa0nMacaHyIinV4e4yroa0MNKtAXxigsOHwOlVp6fX5hOE4dDj1I4jD33x5H05s7YmYaeoc3NLmXFx9pAcQ1AEgNdbxF3DAFxkU3UzRiWlJwSWm2O1Uj6IcZAjP3VTKCVmNfUyJC3VoRaGbrUCk2QAGhO3eO94INdR+K0ZeQWrOYmPr2X2UQoPpiOq8CSG7+3wtl5VnGkdMtcX9ti3zXNat8Yjbikdldbi2F4mqqR39aS7NldbVzw4sT2rs+Ly7szVWg6JbI71w19TCkm2abauIAxytt1sXFLZ6Q7dgs4JyxzozbUTaLJ1rBVZRqgzglOrC246bFW1V2wve/7hgkw2cfgnYEJW2Zq7FKltQYzVCPmTzmjteJ94HCw4zF2kS74151znZeVoY+EYJGxtrKnNZlbqh8s1d+4JnPOSK1ozWhdEVXm88QyTXbfVi4Q2flaXSOaLCpGOZgVL5VaVtI6IxTW1EjQqzeQVesvidi40DAE7u9HYjTnX6oSY0CrOW+FhoZzDTlcUC04EWL09DFwPAzc3x84Hg/0Q0/seryPVHWUKiAeLwGRQCAiGvbaflFblkW33tuG3mMviO+L+tZ3fXWruaBi8n80J1aMCJqqJjbhamPQaqW2EOziG4aB492REALT89ku8lRsTCYXqJUgEKM37eIh4ZzDL9GyC9dQw+6CSPbeMRSTsVOK8Rlz6ZNZNmKfXcTt16C066YU3wbrt58tvKt6IZdwW2vD4xtD2LXsljYEpb3ppvr0ObZdgYyY7i1ClrbWc7HXyLee62vbPK+sqR1/5IrspJWHhc/+vVFk+hDo+54RCF2ki91OROEbSj2IJzQn7JxpFQM7Z7GIORYnsPY9Q4iUUpi7hSXOdMFzdzxwGgebmW0YB7/xCdP2Q63NuRa0WLZJc66qNPpRyM54EdS7XapzS9CqwjQZGNYHTyqVVDfdbH/pL8Mlg3feEPMiaLD2SOe9gQZ/wr78s53rp+ezOT/fNRX5huASJUaPOJud832HC5FSC8tyMs7T1lfVWllOzyznF5zA3egYOkeInuMhEmOgqpCro6owrZXTXBAHdX3h9OxZY484WHIhhMBQR7z3lFLwrtJF5csvjvyrf/kN07zQ95G+e0HVnH16ycQYyGVtzlzxzk5CjELf9Yxjz69+9SVfffmWYRh58/YL+n4gdEdyCRT1uK6nC0dUAtGNVNdbqVuNDSWXzJJoAgbVNnTFIrGG3isN5Xaz17Xz2diYdCMoL+ZwPdCVlVA9RSEXQyr248hwf4+I44uvKsF1nE8TLx9PlPKJaV5Y/7jiBA5Dx8f7keA9w9gxjr1lhsGI+4P3jMNA8DbSFXu7nt5+9SVvv/qyyRuCEFCKoSiTlZOzuBYAxkbpKvR919Z/xvlKKdb7XNeCOLVWTa1W8u47hrEDrWhdKXkj+DdCin1ETtTAgxvCvW00BWGqHkGYCMwSqRTKssCajZHgZq9q37974ullIlULBKuAuq0EvDXaL8mQ856hN3Q7w0Cnio+R+/uHJrbuiF20nyEYZ7FzHPqBcRh3MJx3V20N18bb5pVaKqeXE6eXM+fzmfV8xqtlxD5attoHR3QWyHktOM1IzWheqWmxEZ1seIRMpbYRn+IqRRQfPH3siF1HLoVpma1Fssx8+PQRREjVKqcxRr768hvu7x/aEbMA1juPeJsPD6HHh97aHzWDlibM8ePs52euq6nQlKrG0Xjl2MW1RvAGj/be9ABztvQ+ZzQntFbmaWI5zwQPh35AxOGdEL2jC56K4NVZxFKVxVtJVRuxuvGprog3VG+MVsLYRNKd0z1zDdHx9DQxTSs5V85LaqM6is9W2g6NdtVk5Iw+se8ix8PI/f2RrhvoestcxQdq03J16nBiVGHOB9QbAErY1CGUlB0qjduyHbBt/myDxt8y19e3kmuLYVtPsVoQhBqjWG0jX+SCVEW1t8zVBYZxoNxZdueDgYlyqaw52whCzohWgnek3JOyOcZr55rXTGx9r7iuhBAYj3ekNVuptoFOLKjXHVkuKOpca60AND3XBkYKxejvVI2YxeS12nysuwBJNjDSNr5gS/AKuARs87DXiPaKkFtAknHkVkaupUBKaL71XF/b5iWxpnylkb0BfS7n8rpfv2WuIQT6JhfnGhtT8DaCY6o2ptkbg8c7Z2pPB5sY6bw91hym9WVzLqQ+UUslNLYyL8JdE6cAdhivbwLn1s9vJeXrzFU3xLEBkExesVHWyiVj1QZ6KrlpySYlT028XaEodF3Pm4cvTKdZtjK3NMR045SPka7vQaH5Vkr98VKgP19y7jxzHnrGcSUWK/VupQYfAsGB+I7Y9/jYG0jCGddwWmbWmuyiF8sUXSMJDz7iXVNh2CDTGKAyOKHzhuLSmknrTK2VaTqTqxBjQtXUDVJeKNn6U+MQ+OqLA2vq6ULgqy8eWNbEh08vzMtqw9FeECf0vTXYnRMj+g+OcRh4+/jIw/EBHztiHBHXUdWR1gQUOjWH7nygP0LXGXFFDT24wJqsP5xLZZpXVKc2v6XkWlC0lSB/7pm52U81c0auzZ+2O9sFnbOxHzkF3xyJ94G+G5uKhie6nhgC9w93HO9Go0Q8NR7VYprDpSohV7qqeG96rrHvrBzc99aScI4i9uapZNa04quji4oXGwOTGHGyoSetG5ZzYV4WCxDU0MaoMYxJMOe5oTWds03Stz7bBiYsXFoV++CCYjuLCN4FG6PTuosE1FrJTYqr5rSTpbfDd7O/gU1rYs3l6jzKnqluphYLss1piEgjxndII4LwRWHJVNcIfxzE4HCrzbIGL3RDh/OBIF3ju25JlcCyLjx//ERKiaePzzw9PbEsCwLcH4/mxFvptVSbJy0l8/zpiQ/fvyOlzMvTiek8s7VvtbUp7DMrWYzwxPuE8541JXIunKbJWpBbNuocsR/p+5FhHHn75S/46ptfWj83WZJ3Pr3w9PG9YRXWYu+LWvZc8uv2XD99OtHFQD+YmkGQak1rJ/bvLljJeDzg4gGtlWHoUS2cn6EsL1BMpNk7JThtpTEri3kx/QOPLQQHdF6o0fqva1lZckF8pODxXSbGjnUtTZYugSyAcn+M3B/eoAr/4jdfU4pwPs/84+/+yPPLiVILKa8oyt3dkcfHB7z3hhQLga7r+frrX3B//0glUNyA4klr5jzPVFX6tFDSMzF2PNwFHsfewC7jgMSRJSkvUyUV5en5hVIg5cK6zrskVBVztDd7XXMtct2lsqS2KkJlTStlqQTxDK45w9hxONwZenxQ6kPl5Xjki6/e8unDB6ZpZp5XSiqkXDnPuXFPN/5f7xnGgfHuYBtAQwtXLaSaKVqZS2Je5j1DFudR5/Fdj4uOkjI5rajCklKL5oXgOnyboY7Bom2jPbwM3fuwZSsGyisoK1v0D5epQEWra+Cpjq4bWrl4sQyhZMo6m6Mvl4G6rQrweYf2Zq9hz9PKvBZqIwxB2Pvzm4OtmEDJdqplaymEgOs6A7vlilbbP4srVBT1SvDVBCiCMBwHnHSIOyChM2Wo5qg/TQvv/vgd8zzx4f1HPrz/YOObzvHFm7c4L+YjnOPjxw/88eMHlnnm3bff8Yd/+j0lZ5Z5Ja02Crm1/9nHiXSXQ3TOMS/J2nu5cJ4mSinEbqAf7/AhMhwOPDx+zfHujl/+6l/xm9/+nZFL1IJo5Xf/+B949+23lqjlspO11Gz83a/MLbxRvlmJszrLLDfxb6Nq841uzeG8YGf0gnI0msMNjMFOn7hrTrZh5/2ibc6bpr1qclzOmDxcwspiyQAeLiPO2HBMqcTq6RBBLYu+O/bUmsilsCaL5A5jb+UOb47VRK87YohWl8dR5cL5sfWmjAzCjoNowkvBSTGFlCBUFWKw1eC9bZbOXUGa9tVzs9c2522AXreZqIZj30SUjXzhmvC7PVEbQ0xwjf4yEJq4s3Nbrrg5t2rzzk25Y9daFWubIM7KXHumoa0kfWHVMWSnbww0imQPTSi9FLsWvGyvbx9RZKv/WGtCtvt+MEP7ubVGr26DYY3lSVxDhjp2ruxqJTw7Nu14bX0Vd1vPr225CThcJur57Oef22OuwcR/QvwgtaHEG07EF9Q7SAtSso1ItopHVSVnQwcv88z55cR5OvPy/MLLywsAwzCY7KeaeIDzNh9hSkrZRmKWpWkH5wZUkiufcLVaW9+41kouJkhhWsZbkOjwPhB8JMaOrh/oGtlP1/UmPKP2eZ3zlmSltKv2qKqNEzXk9I+1vwCJhJjkWtM07fu4zyq5/ZqNW/0B5z0xWnST14nQBaCg0UE2OsAQLuWqa/qsrVxlsl1CNbW4phak1GxN7ywLyzSBOFyAEM1hD3200Z/GneqcoT0fH+7ou9CQk0bAPx6OHO/vceJ28BEiLDmTnp/ARSSosfbUShesHBycIrpCLeT5I8tLwcfRGH3KQqkBGFqggfXngBADpcb2HSve/fja/s3+Mnb/xQO1KtM0GUEEl+zLicOLqb/M05mNZsv4gds4lg/M04wPcP94wDnh+WNnIz56IRGZ5hVx0HWZ7u5A6CIhRgM0xYgQQDpETA1KW5tAnJh8oXgGHxGptgnF2YTJ00pJCyKVLMXKwlSUBGqlaZzH4XBUvBoKIK+V+Zxbua1HXABZqDUZlsD5Bk70BPE4dZSq5CSkIqCWdasq63lhOVvZLwZjLHM3QNOr27KY9GctmVqyqSY1x7CFWJfcZeOebi2MulJTbalsAPFQM5onRDM1z+j6THSCaDW0ez+gK+ihMJ9OfP9Pv2M+nfjDH37P3/+7f8c0T5xOZ86ns422NL6A8TDy9S++ZhgHnj9+4vxyZpln5tPMfJ5BzRF3x0iMkbvjPTFECzgbo90mtK5tDKfUyjgOfPOL39J1HXf3j7z58htC7BgOR4bxjthFOlHmpw+GSs4raOHpw/d8+viB0+nUWKKsmuibP3tV56o4Y6tpmZyPB4ajUcbVvKIltbdx7UMG+oY+W+YXwqb4kTfnamMEoTFr7IwycOVcjYHJ4NjSyCkqKS0UzeTGsFSqEmIg9jbvVe9GnFi2KtEEo4N3PD4cuT9aFHN3dzTKw/7AMB5REU7TxHlZyLnwcjqxnE9439MNHuftdWJTiXCsiK5IEcr8kdVN+O4AwaM1UWW0npkLBpYKJkXnSyTU2rIRE8S+2eva/dtHlmVhWmajFmwjOdBKos5RcmY+nSlrNimqlAydPo6Mg/VZfRDu7o+g0PexDatX4+pFOc+JVAt9nzlMM/3Q2RrynqEzEhRjGLPZw6oVp5tARCB4xzAYcjMtC4s/UXNhOn1iWmZgA3iYGEUpCdXcuLcteHS1GEBKG4dwNT1kH3ps6Sm1CrWYCkkM5ly9GAcrVchZWLMYSbt3oJVznnk5LXjneHhzoDsccOlG3P/atiyzBVul7DKE25iKuEvY6NxGwq/UYjrbOSWSJsAhvkMkoGWlzs9QVtL0ifT8HR7Fx0A8DEh/oJaIZnj/7Xf8N/+v/4oP333P73//O/7dv/23zPNEypmcMs47jocj3dDz5vERrZWHxweeX56ZThPrsjCfZ5bzgnOOx/sHHh7uOYwHfvnNLxjH0bLKNVFq5eXlxPPpRM6Z59OJMs8Mw5G/+7v/GQ+Pb3jzxVf84td/Rxc7mmw3qhXywvT0wVSDVhsDff7wjo8fPzbnagGKiDB0bWrlNYn7NyRwRdgrZbsiwaVsugMvWgRlc0WXD7rxWrqdguvz22eKOVs5S7ZZWkN2ZtRI/FXRYguqOJDs8KqkVFhTbllhxlejktv0BvdOUZPxsRG/vd3/GTjASrhGz+hkQ3LSGvmhjSfZIL7CXrJOeGZmCoE15bb4r8n6rwSGb/aqFnvjSPWNjNx7bUA7y077viOpmH4pGMn3sloJDEFUrP+49T5R4v+fvT+JtW3L7rrB35jFWmvvfc4t3os6XHwUpjCJEdg0bEspIYGU6Gu4gaADQqJoQMeCBhLufaKW6EDLkqFjYSEaSBZkwwopU8JUVtqQNOADURnjsN+LiHffu/eec/bea61ZjGyMudY+NyJMvhf3xrmZ9vqHTpz7TrHP2nvNPccc//Ef/xEcfXAEMUEeymValEAtutZ2lmKYTSKxICjerc39ptr0bQKTBVctlRJsfuWy3mjK80upYqkdw/2ZrBd7xKUYtxTm2hpvRTppiv+lFl3X94sdPETAB1lbOlrdBh+bD7HbgutDIwaPqG+j4UwpXssyJOSyy6z7ni77nSnkU2nlqZqtKrcORU9oyvhc0aYNKaVCzsznM1kDd7e33N7ccHNz0waMz9Yhks0/HVXLCAXGaeTcnJrmaVqtcJc1DE0f4L2NvdvtOBz2Rh2H1CY9FVLJpOQZx4lZTNkcm9q5i9FMJIK3mFDNfrTWbHRvydbqUxIlz80xsF4MNESo1bfyzAMG193hCb7bmSl/qqQKRV3jGzzem5VzzRktFS2eWmZz4Tif0GI+kd55mwPoLnTwMmZuOb2nUqha8W2kG+LoBUK1obqcE7OaMTQpQ1FKSWbfJY6SK+NoL5YLwbLDxZdSYJcFfCIkJSSIyQb5zjkzL36TPhAGOwQ4KTidiNIxNJuxfrgy9ZwTur4jxkBRx905kY43nNIdz88vSFUoGijYRs7a/qCt7rBRaQ+NT3/+Xc6n2URmc6aWmVoSsQ+8+6l3efzONefbI185V07lREqFu2cvACWG0GaiKvN5JE0JnWfe2XtqGF6paJ5LZSyKOEdOiZuXR2qBJ08K2ivBh8agNPamOSZdXV2x2+3wYemJdeRuoo/B1njNlDKt6yflGRt0brSg84EQemNvQiU0WvgylqsNpUCoZREzWRkn+A7F2eFiNss4dea33O069lc7EMizcj5nQohcv/spnrzzDvO0DUt/aLz7zhNqmtg5y0TP48j5PF6GOjSqXot1YNhBzDrNznPmdkzWdabmLaB5poy3aJk51InH6umccF09U1ZymfjKs1/i+Vh48eFH/OJ//S+8+PA58zQRxCGxozhP8aYwL3MizzNaCl+OX2a3G2zQeQimKWi6Gx8cfdexGwYeXV/zxc9/jidPnlh23earvnh5w4uXpkKmVmrO7PuOw67nsOvpIkidWhCdqXmGWpE8EupMmmem25dWYjm+sKCrSi7Z2jvFGFWrCj1gcA3DDh97SgVKxebxCtqoNHG+1ZvaaaBkFto6zZPx3bQTdWtCds41NdgyD1bMiaPRGy7EZixuWa5v9YIkhaLZrBNLRkuz78pqwbUI42yPi28iKyfEYAOAK4muz8Qq+DIzZyuiZ1VrUQBodK4DnFacVrx4Om+n9/3Qs7u+tk0xWB23psp4nDlNhdux8sHLwpQV3+2J/ZXRbY3TX2dxfoIT0oY3g+sn14Q4c7ydmaeZNHnSDF3seHT9iHfffcqtizzvXzCdEtOUubs9NqMSrI1LWyNdVXwtXPUOH6N5Cjcf3xdj4cVYrPUlF3KZ1sHQquYSNgw7YgxtMo2sX+v7wWjofrhkswK1JOapJ46RnB1zsoHXC1OkWokOxMVWctDVTEBbNrE4MplASbABsub53fU9VWGalFSqOTCJR7wQup5hf4U44Tic8d3RrESvHnF48g5hnN7aPf2NisdXB0oKkCZymlexkNn/ZSp5FSChzQO4Bdc5F07TbH4CGTtI5ZkyntCSqN40JhXPVIVUYC6JZ1/7gPc/uuHl8+d89b33uXnxYhWE+hAoIhQx8ec4TaSUqLXy4bNnxC5ydXXF06dPV7ZyCbAhWBa63w288/QJn3r33TW45lLsPeAc5/OZly9ecoqWrfad2etGL6Cm9tV8RuezMY5lwmlC0kg6v2QaR9J0vGSupbRWHiGXgC/uHsP4/x2vHVxzo1pxZg2Vcm7Uq+A149SM6euiA8eosMYL45y39L8GC7St8XiSeTU3D4Q2rNZufmm1AZNx2uOW1Xcyr8YRXkwcZGo3M4uWSqOtvIk7nKN22nr9MuOcrFYbIlGNei5Ksyxs00KcTUgIYh6a0UFwZsfonOKkropnfERqxQVwpeB8xfm5NT5fFMK16qoOXYcbb3hQpHFCS6XrIg5BayInu+dd17PbHyizcvXoMaoO13WUtl7NyjM3WitBLXTB8SgMdJ427GEHzrEbC4fJFMBVTK9wuNrz5J2n7A87rq727Pd7wjLiy1vtte+tR9o384elFYFm01m1rO+Btcixqp5bJiquMUqC91YWydWGU7AEVuyw2/UDWivOBRuVqGYYUcWcpfb9DvGB3X7g6uqAADddXAdpl2oThPInmIG54c0gOPAxsN/1lLaOYgxmQzj2pHm2GdjFguzQ96uY8zKKjqbAtZJeUSsVJHXMbT2dCxynzJQzx9PI8XhknmZiDOx2g5X7WpnNDnCWsHjnqG02rDEt5pRXSrF9E9ZpNosKfplC5b25HjgJxCqMu45x6lAtplWQCpqpeSLPZwst2eYUS51xakxOThM1z4znM7fHE+M4Mk7TPZV9o8YVm+LTkruPfQ9e9ybeHM9UCkPJhOA5dmf6eDTVrzT17OpB6Sw6alkvuosdaEBdQF1EtXIeJ+6OJ7povXddF8m5MLeZfpVC0bm1JdhD2Q2aKCmDtnYg7FQ+Zztpz2Virq1+6gK0ob79zibsTKlQqk2H6HujIkSktU7UNuKuN1MJB7vOPndBGULBe6XzmeCLjSCLAYk7vIeQlc4rHTPhfCZSTInXFlzB5iGyBNcND46bZ8/ohwNPrg/UCs+lME9nQgw8evKUT3/mC+z3Z0rpON2dOJ5OvHhpDfKn2xtOdzdoSuS7G2qeue47vvuzj3i067l+5ynvfO4L+Bg5zsIxmdI+4ynY6Xx3GIghMOw6DoehKeZlFZ2EGNog6XU8NYVMqbOVP9JIns/mOVwXr2+Hih1ccdGsSH00+88+UkvhJr8gj+PKmqDWJvbkyVMAjseJ42miIEz0JBcY9gc+/cXPstvv2XWBq8FU83cvb/iqt7LQNM3cHU/M08dvvN/wZrCLni50XPd+dfOq7f5O42itJilzPpkQ6PrxE4ahw/mId9bXqlqZS+acqvV4VkHVaFsvQhSPPyvloxPTPPPeVz7kK1/7ANHK1f7A1W5nRvjzTK2V5ASfaNa3akb6YLXWCUKIpJRWd7EuRhuQkQvjeSTNE94pXQTfB7wP2DS1SozK7Z3jV9/zOJdBR+bzR0x+IuoewgTB41TNH7wUbm9fcjqdOJ7OvPf+1ziez4yzlVGax5iV6wRKEpJedBEfB6+fueZMSpeBzDllm3dZV+600byW7dGsqaDNwnTWd6pVqd6CYW5CEQWGZCeZvEyit0Yqm/LBpThf6zJ13loQhDbD715fYs7KnEygVF2x4BqCtREgiLPMNVQF5whhKWa3Qb1OIRh34pyYEXv7HFxtziRmiGHTiU3KvijaXW2f/WxtYc39xsY7tZ40XYQGW4B9aMznM10Y6HYRaD3Rre86dr2px6vj6tEjnI9IjHZoSwkthTRNZnHpHAUlBuF63/Pkesfjp4/4zOc+RegGTkk4JxMBJrXgKk7agAuh6wK7Xdcs5y7zLpcgq2hTANvJWtU2vyVztf7Gi5ZgdQiQ5bOz+mvsKC5fBIN1GS4NoZmmiAjnsVDqaNZxXijicTGyv7ri6tE1Q3BcRU8tuW2I0noNW+aat+D60AgOuughDNDauJYJSGPfm+PYPOMFUkpr5iqLR0F7HBteUS+ZK46MMIun4jhnOI6ZaUocTyOn04noHVd9R3SONM/r7FZrB7Lr8LXFi1pJOVNUKcUETwvzsQw+V61rr6uI4p11lHTRyhbzLjKnjpy7NXMVCjVPlOSpSVrm6lfHv1rNfGWaJs7nkbvTmePpbBS4yj1ZactctaL1gY377Un7tVgzp8Td0cz8h+jpo83b69swdZY6rBFvthmpzXycz9aXNZ5G0jStMyX71LViuz1lSRWkUU3LBgNGEftoiwlr/vdB6MVRFVwUumoUtQmK2oBpaeo5XXyPja4OPq12jLbRuTaUPWNGz4tlnCOpt/msWciTgquUPFP9SKrCcXRMWZhzRVzABxshhgQUyDlR8/KcPlnhfMObwe3LW3JSQhxRhBcvnnN3c0MtmZsPn/Pi8TNTBtdKHz3usKfrjVXpouBdpaSZ7Au1dzzad3S7Ad91qA+ciyNUwQ17rh7tWx9hNNclrS1g2hB1J43huafgtSke0nQKFlRzSoynE2memM4jOSWr2Vdv4x+L+aLWqkw1kedba0vLezvQ1UIpalRxcHQ+tM1NjAouhZcv7/ja1z6k4vFXigyOmkvziXUXnYSaR3LwwbKkNDGf7po16IaHRJ4nki40ptqe2/QvFqRMa3I4HKi1Muz27LoOnONqP5jBfVHirjBm63+dxtH0BaKogyJwnmfk5s5cwmqhb8ZAOScbUOeEw2Fv15QTqXVI3B2PjOPIol/WJkRdesLBnPrcoq3B1PDDMLDf74jR03XW/mhJUiR2HZ/93GcZ51ZSdJ45Zc7niVt3Zx0cYo+Xc+Z0OjOOE7kUYtcxqE0siwparazYedPo7PreaPVaeXl3/lj34A0E15maHWgHKpzPI9Nc8M5xfRjIQxtZ1PV4bD6kwwzFzSi8oBVOY+b2ZqTmxHQ8kaaT2VhVo4XFBXy0fsDaXKGWdgNVxQXPbn8gdp15RWJy6+A9vguAUF1AJVDU/t6UrEdVXPPiqYVpmlv7jJ3SgndNcRZby4119QqeKp4iDhVnBwwckgRHpUph0pFEpVTHuURy9eQKzkcL6K3+pe3Utni1ohi9veFB8dHXPiTEW5tNqnA6nTidT0ynHR/86vsMzSqw3+2IXeT6+kDc71Dg6qpjGDxlmig7Rzl27LvA/mpP7AMldNwWwRfP06ePefqpz6zjvWII5DRzunlpbQtpZp5PVp9SMXGROGvLkTYco7WBpWnk7uYl8zRxPh6ZzyOqgkoPYsG1JKUUyPlMmo8gQnr6eJ28lLMizowwDocrQoiM5zN3t3fM88wHz17wS7/0HuIDTz7nuHoSyfuMQ4jeExaFPy3jDVbby+OJMp1J21p+cKTxiCZvbWEo4iPiA4jgg9l3dl3HYbezTDBGuq5fk5++HyiqPKkwqw0Rv725Jc2JqWTOyXpMb88Tp7uTGevnwi5Gas1M85laC1eHKx4/fUxoa8I8e2cqpsZVyTBje14xU5Tq7RAQg9HCXsy9KXrP4erAo8eP6KKnH6J1eRwOXD9OPDqduT2d6IaeeZq4efGCcZqpOZPG0fbvpleoRbk5njlPiaJKv9sT+jY4pdo+fLWLzNOAd46rw4Fh6Mm58N//5/sf6x68dnC9b9enS+FXC+ptNNciQrKfanSD3Pt1FpFS6/fLpnLMpSLOaCWRxVC/Im4RL118X6sq5jdobjJC+9lqpxTalAfvPOoCviopqDHL4tapDKaasykLq2iK5fqlXe9lDmtps4NdMUpbFMjG1VeESQuzZstsq2+GF5feQLnwdu31WyiIre76NlBLIZPIauxFmmdKa3yfR8sMa1dt7moLdCFYO1eM5iDjtOC6gEuREG3ijTiHilAwoQjem4I4hPZ7Aah476hFVtP+pa/bpHR1pYHX7zVjgMUirja18TJhCbhMuik2X3aakgXXZm7u2gxO54N9OPtQFesLn83bdRwnxBfybK1tZelbzJmCJ3tWVfJKK7ZNSvMWXB8a2mb91nYPVgNLcThXUVmU4PeYBzCRqSyaFaHz0qp7gSl4pFYKFclCFaFUcwbTUkz8ZhLSVTuy+GfHENe+USs5RBuJWOu9LbBpW8Qhyj17zuW7SweJeQgsLZs+KKEZBnVdR9/31FJXG0ZqRUrTLfg2NL1NRlmed9fqv/YGssQtekfX+syvDjuGYfhEB8XXd2hyUERIKlTMYl8kIHijvHwPzqMEFGvERU3NqO1NX0plnDPHcaLmTM616Z4qU0oULYRgIijXFL4xhLVZXcThQjBbq763hvzZZN7iA+IjiKDOr1nJzhd8bwrIVHyzcfQokYpjzMJ0Sjjnqa5QvNVZe3U2NHcS6jmhZHA2IxNxSChIsA0sS0eRYFlBD+I7wDbaJZpLW4jSbnRt2XzZFJYPjkfvXJNz5fbW+gFFIPhgdcfjHc+ffUAIgdPtS4IPhKGnO1yBE+7ubkjjidrosBoCxTumprzsgN4p4iq1JNI0UVJiPp8BbZnri2bCX6g1AWoTSpynipC1UpKziVLz2D7P69oJPtC1trg5OVKp5Llwd2sllmlKnE4jIHT9wOFRJobI/nBF3w+mS0iVdJ758MOX/M//8WXO55GvfvUjjncTzmdefvTC3KbGM0Pnubq+JrQsAlWeffChrd1aCDoTNOM/gWXchjcEVZvxG0z0k6qSpxlFmOcEYhR+6TuCdxfXIoUpV6astr92HRIDvlSuQqWI5SJTKqCFeToy3d5ZcJ3PaJ4Q7+l7m4D2+S98nu/9Hd/LbrejVrMmPJ1OhNameDqfGWfzdTfzn0rF1ov5wFvpcSyF8/HEixe3fHh9w36/Q8Viwe3tyM3dkdPpxAfPXvDBsxccjyfef/8jTqcTQ9dx2Nms5KePDuwOVwTveffTPTFGVOygQHOqWpPFdnh1TmzWbQyM08z//f/xrz7WLXj94Co2iDdjNVEvDo/HiUddB76z4CoBpRl9VzuJ1yVDzJVpzhzPM7XmNlfIntw4z4QixGKnItcoi9gNzQ6uawrIQLfbE7rOgrPMlFJxIeCj9cXW9iKqgosQi9Flp1FJWS34E6jqyEmZS0ZcRWOhRDP+78URxTEn5XhMpKRN52tprAsJCdPat4sLxK7j+lGkG9ogg2YQf/9GLs5QIuYCsrUvPDyunxw4n2Zub88rZeq9x4lwOt7xXKzc0YVg67zvCbs94pypdjVfhGneguvcpBEiyuCsVauWTGoj2qZpIudESTPj8YaSZhswEdrJPQScNxP8mmmK3mKm5sUsGAXwIgQf6eJALpVpKqS5Mo2Zu9uJeUqmwr87gQhXj69JySZH7Q9XPH78mPE889GzF4zjzLMPX/KLv/grNtz6PHE8zbZu/QvmceR8d0tJM8NuwHeROPRmeTpPaLYWvFgnOp1x21p+cFgrIkibLZwm6wutqqvHdfCemjqbJZwSaRrNm70qqdqBbXd9RdwNBKALQBBqVW6nipbCaT5xun2OlgxphpLohoHD9YFu2PH5z32B7/2//C4eXT9axXY3NzfcHe84jWfC7S3PX7xkmgA1C8bF+9g3t7GSE6lUTqczL1/ecjjckAt0/R7nhZvbkWcf3XA8Hvng2UuePXvB7d2RX/3Kh9wdTxz2Bx4/hj5G9lePiMOB3dDxxc99hqdPHllMXb0VaMI/ExJ6ce2QbfXa03n82Pfg9Y37saBaVNBKs/0LZsUmlyG9VZWi1Yye2wa0zDGtlSbCsH+v0zuahaJb7Q5lffLr5JyFdnNi552qZvpQl2sStBrvq0t9FOvXU9dYbafWsKoeNF6oWjXFb5VIxeq2RT2izgQbYApiAtCy45a1r32FrcfXPC11pZ1VapuY8o0U8NLIv+FhURVwgo/m9+y8rckQLhafVGWebWapr2qzXb1DvIK/NIo2Ib/1hTZh/0LZpjlxOp5MuXk+mel4yZQ0UsvSq+fu0attNIVegqs14BebUFKXSTSthKGLcNDKI84HxCs+VGLXNSqtzUqWJqzD1vQ0J87niWmcmedF+a9tDnN7H8Gqlyi5GBPjmw94Lm2KEGvrxzab+OGxtN9I60awPs02uazZYqqw9o1qFYpvh3vAq2Lnf5uGo5iRj2kAilH+tVBLJueMlowUE/uBEGNn2V5nk8Qsg7ZA3/c9Q9+zGwamyXyoL1tus+UEmhKmlegK0zTx8uaW3f4FuZbm3uf58PkLnj9/zul05vb2juPxzPk8NqV6WXtka9tUVzvREOhibMH1fmyxv71Q5iKLcb+Q88cPma8dXOcsuCSU2S4m9j27q2uL9J2jNAPxMRVSsVFY0TVuvmRysprRPBfmyXaI2KbiBO/oO08Xm2K3+a36LuCHrgXVQPYWzE5zos6FUoQ5QdXWND8vI70i+NDqsB4wuq10rqkyPaKx6TIdXTONoO9IPtphoQqh2IzEsBeCivWGRWtb0BZIUQv2tbU1gPXLSvO0tHpCRaTZkGltsnN7XbcN6eFxdzcRup4nn/60BYdip3NxQtdHJHjSPHPz4iV5ms2wPlj/9uHRnv313npLq4IKUh2JAHiyWjmi5MKzr32N6fQeOWdePH/B6Xii6yOPn1zRd5GuD+x2raUlF7PzbPoCre242uqvaZ6YR/NYnafCNFkrmgs7+hCRUMh1IKbMFcq7auWNR0+v6QebyKMqzKlwvBt5772v8fLFDV/9yofc3Z6ZpoSPPVfXHeId3RDxMeBitNYO7DmV82RVGm2CP1XIkIo5kW54WMxt/ilNIzKO5jpWm71qrZW4Hzjseva7wQRoaUC1knIhZavV5lrMmUmhVjtYTePIfDySUuZ8PHJ3ukNrJWIe67sQeffpOzx58oSnj54QJEA1itp0BZnPfOpdzqdbhi7ylffe43zyLVO198/SSlaKchonpmmkflX4hX/7/+b6+ordfs/1o0eIE25vbrm5vWWeE8+efcjt7S25FE5nG1mXu2gewmqGLLGLdH1Hv4sMu9j0L9Uy16WjRVgd0LjX1pbyxx+o8trBNVUxW6gseLXWgmXqjXPZ+HNV5lxaobwpwsWESTkbLZyzkrO9KWOwbNV7M0yPrf/PN1m08x4XjbPP4qniKArnZvlWqiPl0AKdTetBHC4GXOgRMUs654JlssEo6zVzRVptt9V1oyOLCVjAEgkn3ob8iiPEjm6wxy1F2yAAJRcbVWcuVPfqGnAvuLYhAUrLJJZBARseGuNUOPSe/dV1a1cpVktCV6qozOZEMx1P9kvO6DNxSr/rLq5bgFNHbk4yBWfrsSi3L17y0QfPmaaZZx98yM3LW66uD9Tv+gJX1weGEs3pywl5ms05qmWs6wzY5l5TciInE5OkVEipgnik6wh+B67QF49LhRg9fWcZaDdEQtemRSHkXBmnmefPX/Lsg4948eKWcbTHjr2n3+1NxBXN69i1WvTSA1gWGl1o03ask8gVYZs49/DItSItQKoqqfkPrLNJtSI1MnTm4mSzStvYwDbtqZTC8TSaiK2aDWKpaiWJaTSh3zQyTqMxJyGsGoHrq2veefKUq/0eh2tzWz1dDJSu5/H1NZ965ylpnum72GjXJXO152ABHaaUOE0TqRbSL9ow9L7v2R0OiIiNsjudKKVwOp2Z5xnbw41NsRY36x6xiWo2bznGQOysdajJuZqAqtnq+mCCxRVmfPFx8QZoYUdRgWK0WVZPJTZfYWkS/YrWbGoxVeZarPqaiw0Xr9bb18WAiNL3gb5z5oTUxWYDZ032Ig4Jgxneq/WX5nYNc4WkguJR31vAlA5xPeAgdNYHKw4JHW6hxpx9rVSHFDOqNgFUUxkH63MVMWeSZYKPDTtvzf/LoG2tLeuU1kxvFIRvQqyF8l0WkY0Gs59fPi29tRseFrW2aUolIVqhFKRYn2CRRvPW0gzFm++vW/yvHbWYK9JyuDLv3tB6WSOIB2fiuxADVStdHxmGjmE3sD9csb+6wjvzSCm1cj5NnO+MQkYWuox20FOrlY0mwJpTJuWE85HDEBn2V1SFfleaUC5T8gxaW/P82XoBp8LQDzx/fsPxeGYczRA9Bqs3931k39thlhZcY+fb5hRRKn7pN6/V6mZNHANGjW94WMzJqFwaLVyUy7i19rmo+USnXFYlrwXXSznA6FGPC44oxhBmgW6eUMzQQVs7iKlxQ9vvLCFStVGgvlHOQiXnZHXMNqnGe79OU1psboH23zazVbH3Z8rZaO5W5hMRpuZTrAvr6XpCUymHEHjy+JrPfPpTDEPHO08fcXW1Y9fbTPGS29Qfaf3AcunkcK5aiYXFanQJvh8Pr+/QRIQS0dFeoCn3FDngxOO7St8ptSTydEcuM6kkzvMJasZj/rxopYuOR49MpHQ4DPR9tBeojzZ+ywd8tD6sjHBu0xrOGcZiQT4RKXic6wjx0EzKO7zfNQrLfFydE8K+pxusj6rrOpz35GxCkFpNTr74YFpmYq5PXoINm/ZCiNJmbwZiZyf5JDbBx2p2QsBk7rHr8N63ellurUSX19HcSGwzs/Fm/evemg2fEFoKZZ7JJ1An+KqEVluf1drxSsqEvlvrNkupIoSOnOyezslayfY1UJ/scHGHC3ucNwFGP5zZXw90yVPrNUPnuX7ylM998Tu4fvyY0+mOly+fk+aJZ89uePaVZ6BK1wdi8M08Yka1Mp0njnenpm42Smu3v+LxZ6/51Oe+kxgDh6uBED3Pnz3j/V/5MuP5zLOvfsTXvvoMVNqQgK4pLJ9xPJ6QWtnvdzgRHj3e8+jRHnFCcYI6IXQdV9d7YhdpqgqqKuejzT5GFa/g8Gys8MPj9jTTRV2DgbFo0soLVv+fi3IaZxBvLTXF9r6UZtMViPWa9ruOEAK7/d6sYV/ekLRwGgMf+WBlC8R6wIfBerdja3kpiePdS9J0Zh46G9uYE06U/W5gN/R0w0DX9+SsjPPiPCatbl+tnQYb/nI+j8b6uTPu9g5gdecL3vPoas9uGDgcdnz+c59lf9jxztPHfOFzn6HvOx5fH3h8fVgd9sbzGRFrPxJoLT52cF4Ep5bF+k8UWOFNZK5iTjBFBadCqZ6qwSZmOMX5JmvGmXCp2LghrZm4TBKBxoWH1aC8H3qbo9lb4HM+EroBxJOLWmM8MFdlKkrFkV1HlYCXDuf3eB/Bd0jYQ6Nllyq+xB4XrdcqDhb4XC5U5jadpK7DBhaHEFmV0G3QuWc1VXe+2YYVVqoX8QhtHueaud7rCb7XzyqLDLxlrs6/fgvyhk+GpU9bc6I60ycJrAKd0r5vPa42TzU0uz/XMldVyLmSU6H0lrmK61r2au5HPix0lNL3ES09u93A/nBgf7gm5WwtYlk5nxO3tydQZZd7uj5Qi7XilGKeq7c3R2qpeG/TR3A94iLD7sAwdDx997oNbZ/4IHpkgmmcePH8tglMZmKInM8jp9PINM1E5xiiTakausius6w7O+sOCJ0dKC241qb+r0xrJmN9lsss5A0Pi7mN2Vz6OGsTOAHrbGzLBAtzzqto6MKAmC7E5gYvs1QHYoycpokuRnK2AS1LluDaHNVlr3NOrFwxz9Ya5BTnzDKXVzJX1yjcahaIdenSfvW6VbGWnRXm/HVhc6yuu9/1XB/2vPvOY66vr3j3nSd87rPvttF1Hbu+A1XyPDUfYS5KYbDhLFVa0K5rb+2DB9dMoFRhShXIPHtxRPxzuuh5fOU57ByOggdEg9mtEa2X3nkk2kV3AeK+tdrs9qZqdB5CRJ2jukjyzXWmzXhVhRjELN4Q3Jq5BiTszNfXR6TVWaWp50yl683/GJgmo6WtBmyK5YXvB/COdpIRXLDFI9IEJkWpVKrmRmNY4d+i5KV16pKkyr0FfzGqMPu7+z+zbUgPjcNhx6EP7Ly1MRyGgcPQU6ryYpo5NrrsrmRyMeGQMRC2BpFWa092X7VWgle6qBz2gXee7gnBM4SRwZ3JKdGROEfYX0Vcmxdp5YKA95HD4Zp337W+8H6IxOiZ08zdnYOUqGNmnG1+a/CK94qPbdZlnpinzO2Lwik4vvbVr/Ll//kr3N0d+eCDjzjenVAVSoYu2nOLwcPQE53QNW9j0UKZRsSJ6QyCI0pk33niEO30IRdTC1RxwNAHuuA2h6a3gGcfvWhCSsN9K4amXWecE6kUYhepzTRHtTLPiTnNOBH2u4G+ixz2xlzs9zujdbVaL0TrfqDV2oN3xODpu2DsY7DpUuYzrYhYm2GaJxsZl/Papy2i64UuwV8XGXz7mcV8IsRA39n876Hv6LuOvot8/rOf4unja/b7HZ/77KfZ7wf2+4Hrw0AIni54W9MILoZV5R5ay50L9tjmnnehgT9pYIU3EVwlkorn9pQpFc7zDR++SMTg+dSTgcfXHV0Unl4F9n1nBtCYmULwAentBYpdZ843zuO6PS60QMrSH2sGD0sd1bkeUTN1cNW8g30Vsi4GDW0Qug/41n6Akb2moRNHzhbk0lzse21Y+ZpVNsmuhKUlyKaXhBjWUUy1VMhmmg4gLiBiRXCHwtLu06LrQjE4J+R8cVAp1ZqyuXda3PCwePLkEVcR9mUiOPjUu4959513KbXy1RcveXE8cTxPTOczKRVrGyut3aqWdijTJmqraMnEUBk6ePyo4/Off0zXBY67xLE3m8ObXjmdPb4b8B5KzaiCl47ghcdP3uUwXAEQog2PPp/PZrt5PlNvJ45jZp5mggsEVxE3MY0jeTqTJ7U+RK38z1/8Jf7T//mfub2943xMnE+Wncy7ZBajInRdpO87vIPojS5zJZOOE94Lgwz0PtK5jke7jnjYWXD1drCI0Uo53jmePD5w2A/bsPS3gC+//1UEWQWUNlLTAonVJZ3V8L/2DLDD/dIOOTda2Ilw2PUMXeSdp4/ph4hSmKcRp7YjO61Ia4sJTuiC+cnvBhtWHoJQymS1S02U7K2t5nyyNZpmC8ytJtuGhK6Jh67OZJbpXl1f0XWRq8OBJ08e0cXIO08e8e6TR+yGnu/64uf59LtP6WLg+npPjAHVTF1HkbIQhDjfmT+293Sxa1oKj2/vhZSTtRl9i32Rr+8t3MREuZohw5QKqjMxOHaDI0ao1ZMGT47Wg6dqY7NUzOtXvQmMfOwR53FxQEK/KngVR1Wjm8Ehrkf8AAhOPUFNLezLpWBvg57NDnGdCIL5/tor3Hr2lkC6ppcL127nO6MMZKWFzT5M2mK513u4iJhQGze3KH7bY9tJDJYoK/fk3fZjS5n+0o6z4WHh20DzKI7ohKHv2B925FIZzmf6eSalvLIKJrKwelMpugbXpX9bq9rJnooTo8S8kzbpBqqTZtJvj1Zypkpaa19oO4h1vdFo0UbQ5VLwocOHYuWDpoaHS6mhth7EqtXmVpbCeDoznkcb35UuVnPLpuqD6Qect5a54K1D1yZvmVE/teDU23HX2ltbs6QZxMQYqF3Be89u17PfDxdrvQ0PhmmeQS8DQFbhkAi1hubKpC3o1HuZovVxTynhxabDlJwZdoNZZpZ7wwC4ZMSil/8WpHkTgLUCLSyPfc0OoqUNb6/3gtf9z/dbzgyLM1/XRYah53DY03cdjx9d8+TxI3bDwNMnj3jy+BExePb7jhA8Oc/MqbWxtaTJxKm+UdmurXvfdBQWFmutlLVVUl8p430cvHZwPc9mF0hUxENSKDkxVeBl5jQ6+i4wlz1X+44YhKHbE4KdHLzr8OLBH3DdwQz6uwMS+rXuVOr92o0QvTk0OXF0TYFZFWJVSss8a70Ev2XRWHy1XiozubC00kZ0cU+R3EYLaQURK8435aQP3uKytkqTWpa81FmdtzmDyxIB65cc67Ry9zFab6SnHTJUyc3UepmOMqfpdW/Nhk+IkjN+2HF19Q59DDz57Bd55zu+SM6Fs4uUECEe2d0eyaWSZgtYNpZL1t5k1+oBaZ4Z7245+cJzD7/ibZO7ef6c2+cfkebMzc0t59MI/gaGM/iO1qMPCl2jspwTXHD46Oll4Omn3mU/J5tpWTLzPJn6vm2EJZ95+eIZKSXubo7MKXHz4gVDDMh+R+7BynKe/X5H16Z+HK73xsyUTC4ztRTOz19yPo74ogwpW8faPFGnIxoU13f4fmfKeWeaieA9jx5fc3XY0XXbWn5oTFO6d/gD1w6F0oSWrtVKLfC9GjByLuRS1kPfNHv6YeA4zgzjzJxKy/7a42FBtbaWrFQS5/HE6dTTdQGRHnSZKuatY2SaOR3PnE9npvO4skFa8uKEQqvEWVaLsN/1vPv0EYfDnk996h2+6zu/aAH18TVPH13TxWD2hn2w9wtmbC9a8ZhpkGsBVZqjmdWIHV3XX4Srzg6KtVZ89cZStkHu5RNYeb5+cE0BFzwEQdRaA3JKJvefKy8o9H2kSOVqNuHGu91jOh/BdYgMdoIIj/HxEc4FanfAB7NxG0sim4icpcwtfqDrduanGpqMG8haW6M9rfZp/V3TOFucbM4b1mPqLavVZl/YfIhDFy8n7aYgi523WhTgsF1PqrQsvD2WBJah8Hby0XXAgFHIduLrukgMu3Yj7c8YJWMD01WNGsxpo9IeGiXNOH/N4fopu93A489+gXe+838jp8RdyiStVOfZDc/N/WU+cT6P5FyaAtM2mxAiwQfynBiPd0RJkGfSNOKc8Pz5DS9e3JJT5ublHefThIqjhA+p4um7HfvdFcEHHl3tiFctcIXWWx0Drh8oivUISrGRc6cT03gi+EDJZ25ePON8nnj2tReczxNpGtnFQO8dRa11zjnP7nDVVJ4dT955RD90jNPI8XQipcR0HDklCFTSnKm+orNHpyPqKxKuiH6PhEDf2UEzBM91C64hxrd9a3/DYWxj/qzsZF97ZUbpwo/eE1SujEzLYgXacAcYdgPH88xuTNb/vQZXExIhC4NnrTbjeOZ87lDticHUn9baZQK4JbiejmfG87mNs7NWuPuBW4R1zvGhBddHj674ji9+jt/+W38Th/2OR1cHHh32xgxho+IWBfsSXJcxiiEEgg8tC+4IbfJOjCZqVTUNzVKqc8Xde03qelj5OHjt4OpcaMpWo1PtJGP/9hT7iKYeLmpv6lTNvcZVR6xmSZirp6hH1SPVg7o2w9U1tVh7/JXSXazYLhSdQVbl1yJC0kZ7IbIaQdiaugTsxSTg67H0hLVff4W4YH3G7fLu87z3H0wWsmRZvK/SDOvJsdndyT3R04aHgxPjR8zSE5bxW+IUHyOx64ndZJZuTWluNFOlVqE0P9bOe2JnU3J8iLgQqTTDdIRxyoyTTduZ5sI0F1SUUpPZYkogxwIIc07Ms6cUhwuCusVkxJxjbGOICBUtEa2mYViMA3Kbn2kUsPWSa61kFRt/6FyzVTXTitgFuj7a28sLOWXOVyd2h5NN/AmtLrYoq6s15y+szAo1J6CcrG614WGxTFDSZQOz/1q+e49u1Xu/c/ld66uWNnFMKNWETuNkE3BKKuvs62UDNNbNsjszrUg2HKCU5rZk3yu5kFMmzclU7s7TxUhxJmi17X4JrrYmQ/BcXx24Ouy5OuzZDz19F+iiJ/ilvHJvyPm9cpw9XBMm0bwS2l69PvslLixVwa/DMqHnQftch6snxNitZc1lZp6I2eB7sRc2OEvLpxp5fvL4CfaDIxOI3kP0SBcs81Pwzd3IakNG2S6KLnFWZ1LMWSa1PigrgyptZ0BEqJqY2jiugDcrLqwmJatb0iVwmgx8WZhLUDcbLpHmMenEaEDM+1JlmWq3GAe0ZdxuohNsko5TnDjzY60mO88lrzffuw4EovN8ggPShjeEoVdwheM0Wy/1XEhFUPEMh0dcVyAMvPvySB96NMGHvERLq1PNmdh1vPuZz/DOp97l6tDz9LNPOOw7zueJ5y+PpJx5eTPy8mYm58LpNjGPNqVEQwXn0OpwfsZnE4+8fPEC7x37w0A/dPgQ6fcHfIgowv6wp2ZTS+ZhWM3ZX94cycnqrs4J3dCzv+oQ4DQmjo06lJLIY0F6z9Wh4+rxgdj3DPs9Cnzl0x/wlU9/QJ5G5hdfIR1f4NrAaT8l4r4SmxFAytkcfoAynbkRs97b8LDQutCXH69GeNGEsB72VdUGswDnKfGVDz7k7jQ2hbBlcadxNOYSmHOink/ELvDy5UtEK+nKMsoYAmnOTFNimmZePL/ho49eME0TTx6ZGMmSmEUZbMPOQ/A8fnLNYb/jcNjzxS982rLV6yuuhkD04GoiTUvssUBr5wczMpHF8EeaBgfzSCjVWMuKIrVY/GjPa6GFl4Aagv1+jA84cq7rr+j6SGjWhF0X6btlsHjBSet/G0ebjamBPFs0qyKE6MjBE7MnptYTCnhdpuYsTkYLletYDCHg0kAM3Mse7RSOWPabWw8XvrXjYP1XS7K6TLtfF9RqlG6BMmeTkDsnNukGWX02lwe5aKaW4NxOOc6itg14aErlWinV6qypnep9y4SkFdfj5hn34IhBQQpTTlTxzLlSKog44rBn19qzrq8e4SrcvLyz8ntVy0LHCXGOfjfw6J0nHPY9h8dP2e86pvSCu9NLpnHm5m42dX0ujGMhTRWkIkWb41MmpowryjlP1DTivWOa9wy7ntj1XLtI13xG+q6HZhNaYiDnwsvbE+fzvM61FCf0nefRPpg9oROymnAq59xqvJl+iByuBq4eP+adT38acZ4Qdvi4Zzwe+Vo5Mp1vzbGqVGq2Gpl3ZleakpJzQmtlnifItqFueFgsc3W/yXf4tQLuNxPrLF+aU+H5yzvGKeGwwKFamebU7F2bbgRlnEZOp7MduJywG3pqLDazO1WmaeZ4PFkrGMpht2O/G4xaZumoMPo2dpHPfOZdHj++Zr/r+eynn5rxRAwMsbEuWiip2ti44JsI1oZZgCVE4owKvvCr0vp9rYxYtSJ1GTZRXmEU77Myn6SL41sOrssfLjlTnEBdMtc26kigipl411pJbcAyYjQDFJJ3zJM1xU/jSAiLHLrgGv9dikmhvXeUbC9QzZnaqIZa8xoMVybW+dXS8Hw+MZ7PzYEkk3M7wbSfdbJQYxZgg1+i5OU5OidrTcJ7K5bXWskp2cSQxQ6v3QTnjLJTXdTItGu04Gr2lLYYc7aNxzUKUZzNWRzH8ZVr2PDtw/Iaz3MihARlphThdDpzvDsiAsfjiWk8czqdmcbJjNDny9SNpb5u/XzJWmO8MJ4nHJVxnJgna3FIKRldm41aK7ms9X1xQs6mWxBX0TTbeq+ONKdmqWmWb1oVakKapWFOM6V5wqY5mRNYqeYpW5UkalPBRIy2yxZcS+vtTikzTTYY3Xcjp/OIE8c0TkzTxNzU0jnbMIN5LrYRzolxnPEVpnFmmmZb73OCnBsdvq3lh8B95e03f7l/7eD6az2ecqk5lib+XJKEdcIOpoyn/UzK1jc9p8Q0z013AsGbmGlu5QIFLCTfQ6NmVe39kGZ7DO8c53FuteBMLRYPlqlpS7+qtEC4BtfgibGsRhCWg5l1KWJ+Cynn1eSnNhvIUqr9u2WxqrqOnPs4a1n0W1zxv/Irv8J3fud3fiu/uuET4Mtf/jLf8R3f8bYv49c1trX8MNjW8rcf21p+GHyctfwtB9daK++99x7X19ffknvFhv81VJXb21u+8IUvbOKmbzO2tfztxbaWHw7bWv724pOs5W85uG7YsGHDhg0bvjm2Y+SGDRs2bNjwhrEF1w0bNmzYsOENYwuuGzZs2LBhwxvGFlw3bNiwYcOGN4wtuG7YsGHDhg1vGFtw3bBhw4YNG94wtuC6YcOGDRs2vGFswXXDhg0bNmx4w/h1H1x//Md/nO/7vu/j0aNHPHr0iB/8wR/kZ37mZ972ZW3Y8C3hV3/1V/kTf+JP8O6777Lb7fjdv/t382/+zb9525e1YcMnxu3tLX/hL/wFvvu7v5vdbscP/dAP8Qu/8Atv+7LeGF57Ks7/r+M7vuM7+Ft/62/xPd/zPagqP/mTP8mP/MiP8O/+3b/jd/2u3/W2L2/Dho+N58+f88M//MP8gT/wB/iZn/kZPv3pT/Nf/+t/5enTp2/70jZs+MT4s3/2z/If/sN/4B/8g3/AF77wBX7qp36KP/gH/yD/8T/+R774xS++7ct7bfyGtD985513+Nt/+2/zZ/7Mn3nbl7Jhw8fGX/7Lf5l/9a/+Ff/iX/yLt30pGza8Fs7nM9fX1/yTf/JP+N//9/99/fr3f//384f/8B/mr/21v/YWr+7N4Nc9LXwfpRT+0T/6RxyPR37wB3/wbV/Ohg2fCP/0n/5TfuAHfoA/+kf/KJ/5zGf4vb/39/L3/t7fe9uXtWHDJ0bOmVIKwzC88vXdbse//Jf/8i1d1ZvFb4jg+u///b/n6uqKvu/5c3/uz/HTP/3TfO/3fu/bvqwNGz4RfvEXf5Ef//Ef53u+53v40pe+xJ//83+eH/3RH+Unf/In3/albdjwiXB9fc0P/uAP8lf/6l/lvffeo5TCT/3UT/FzP/dzvP/++2/78t4IfkPQwvM888u//Mu8fPmSf/yP/zF//+//fX72Z392C7Ab/v8KXdfxAz/wA/zrf/2v16/96I/+KL/wC7/Az/3cz73FK9uw4ZPjv//3/86f/tN/mn/+z/853nt+3+/7ffy23/bb+Lf/9t/yn/7Tf3rbl/fa+A2RuXZdx2/9rb+V7//+7+dv/s2/ye/5Pb+Hv/t3/+7bvqwNGz4RPv/5z3/DgfB3/s7fyS//8i+/pSvasOFbx2/5Lb+Fn/3Zn+Xu7o4vf/nL/PzP/zwpJX7zb/7Nb/vS3gh+QwTXr0etlWma3vZlbNjwifDDP/zD/Of//J9f+dp/+S//he/+7u9+S1e0YcPr43A48PnPf57nz5/zpS99iR/5kR9525f0RvDrvhXnx37sx/jDf/gP813f9V3c3t7yD//hP+Sf/bN/xpe+9KW3fWkbNnwi/MW/+Bf5oR/6If7G3/gb/LE/9sf4+Z//eX7iJ36Cn/iJn3jbl7ZhwyfGl770JVSV3/7bfzv/7b/9N/7SX/pL/I7f8Tv4U3/qT73tS3sj+HUfXL/2ta/xJ//kn+T999/n8ePHfN/3fR9f+tKX+EN/6A+97UvbsOET4ff//t/PT//0T/NjP/Zj/JW/8lf4Tb/pN/F3/s7f4Y//8T/+ti9tw4ZPjJcvX/JjP/Zj/Mqv/ArvvPMOf+SP/BH++l//68QY3/alvRH8hhA0bdiwYcOGDQ+J35A11w0bNmzYsOHbiS24btiwYcOGDW8YW3DdsGHDhg0b3jC24Lphw4YNGza8YWzBdcOGDRs2bHjD2ILrhg0bNmzY8IaxBdcNGzZs2LDhDWMLrhs2bNiwYcMbxhZcN2zYsGHDhjeMLbhu2LBhw4YNbxhbcN2wYcOGDRveMLbgumHDhg0bNrxhbMF1w4YNGzZseMPYguuGDRs2bNjwhrEF1w0bNmzYsOENYwuuGzZs2LBhwxvGFlw3bNiwYcOGN4wtuG7YsGHDhg1vGFtw3bBhw4YNG94wtuC6YcOGDRs2vGFswXXDhg0bNmx4w9iC64YNGzZs2PCGsQXXDRs2bNiw4Q1jC64bNmzYsGHDG8YWXDds2LBhw4Y3jC24btiwYcOGDW8YW3DdsGHDhg0b3jC24Lphw4YNGza8YWzBdcOGDRs2bHjD2ILrhg0bNmzY8IYRvtVfrLXy3nvvcX19jYi8yWvaAKgqt7e3fOELX8C57Qz07cS2lr+92Nbyw2Fby99efJK1/C0H1/fee4/v/M7v/FZ/fcPHxJe//GW+4zu+421fxq9rbGv5YbCt5W8/trX8MPg4a/lbDq7X19cA/J7f/XspWTkfJ7RUYi10tRCAa4S9OsQ5JERwjtkJJ4Es8KnQ84X+QBSHrwVfK3MtvD+f+CiNzAK3oswCIg4vDifC4ByD83hgqPaRgTsqo1aqQBZFgSfO8xkXCAhJlRnIKDdUzlSqCLOHKkLnPbsuEpzj8bDj6W6Hd+36nSMr3NXCWCvOR7puwLlAjAPD7oBzHicZR0ZRtFSqVpzzdHGH9wERwXl7DXPOpDwhwG4IDEOgi55Pvbsn+Mqf/9H/Y32dN3z7sLzG//bf/XsOV1fUqt/8B1sioMu/1U6ygGUJImitzNNEzom745H333+P4/EORJD2c33f03UdIoIgIFByZZxnSil4H4jBIyKUUim14MTRxUgIAR8Du92eEALH84mXL19QSrVradejr1yyrP/S5StOECc479jv9sS+u/yeKuNp5Pb2tl2Ps7XthBjsGmq166qqDP3A7nAg+MDh6sBhf4Vz9jdF4O7ulv/r93/ftpYfAMtr/H/7Y78VB8xzQYuSz0qaKrUqeS5oVUSULlS8g6H3PBoi3glBILSkrDqlCqgT1Ns9daIEUZzA7rpnf+gRJ1RvPzfnyt0pk0qlAkUEBbJCrlBm5fxsZrrNSFVcUkSV4MA7WzMugPP27+Btz/ReCH3Ae6EGR+k8KpBqJdWKVqhJ7XNRprFSsz1OiM7esgpVoWQ43SbGMdsTbW8Y7+zvOLHf897eJyF6vHfkXPlX/89f+lhr+VsOrgvlEIIDVdR7itqLgSgVQB1RnW06zqPO2UU7xQt0IXCIkU4cXjqcQK+VaQ7EMnBGUamcUZz3+BgQJwwusPMBB4RcodT2qmVEK1GEnROcCI+cZ+8DXgSphVorgnLlhV4EdVCCozqhj5GrXU/wnif7He8cDnjnwNnGWRROpTBXxTtHCB1eHD52xH5nBwAPvgVP2+jUNlHxiDhAUbG7mXMhpx4n8PRRz+Orji56nj49AOWV13nDtw/rWo4dMXao6ho02w/c+7f93/rd5efaz6gqiOByIMwzpVbmXF752WlOFmxF8N7jnKfWSpoTtSreO4IPIEKtlVorwHrQ6/sOxNH1vf186EAK0zQyjRNVlVos8AnS6Cuh1ErOGdUluDpC8OQnsFfwwdP1A957JCvqz1QVUi7UOgHgXMI5IaXM6XQk58z1o8d8CruesL/iEDu0rfWqSpHwyuu84duH5TV+9M4AKNNppmZlcgWRihZbDyUr3il95yy4do5hJwQndM7Re2dLundIECpKspQBtOJqRQT2O8f+4G099QGCJ+WKHzJztjiQnaIKc6qkVCmhooNHpooohABSwTsleHAOfBR8tHgR7GFxXohDwHmBIcK+R50wlcxUir1vi0CFnJXxlMmpru8HVagFagZFkV4I2GYtdqq0AO7tdQzBEYK7BNfgyenj78vfcnB99Y5ePleFIuAUKvYkls1IRdCWUS6/JgJOBPH2JEQdQQOdUwpKlEpCccETumhP1AeCD7ZxpAKlIKq4Irha8SJE7/AiBOdxLRBLdRaAgeAtaKqzm6hO6LtIP1hw7YeeftfjnUOlZRcKtRRcVZw4oo8453AhEKLDOYdvpx2DLgnO8mwBW6gAXgVVOwTE6Bh6T4yeLjru7+0bHgaqSq311cBq32jZqiyp3St3dvmZJXOtVdcAXerymKzBtbbv2Rs44L0F0JQzWpVaL/e/tscDY3ukrcWUMuI9edlUVCmlPYYqpRRKrfYeEYeIkEshpWzvSCeIOEoNpJTs94AQFefaa6F2rRaUl02lIiKklDiPEyklYr9jShmcXU+pahu52mZctH7b7tmGbw4XbK06L6jaPXVimWgjWYy5cOA8OLckRqw/a8yGIMFRUZRKtY3c/oaAuPuPZft4UXDe4VVBFC9CXfZngbr8fQFp7IZzy4cizq7HtwDvveJbcF2uV7xAFNQ5vHN4qfae9O0PuIpPzi61lHbdltXaU1Bwdt2wRCix53Mvc3VeLq9DY3s+Ll47uIpAEMfgnD0BFNQjqswVbrEbgLe/puJxjfKSvqcOPcV5tItoF1BgkCs8lcEJMQizs02o6zs7vTijzYxrKGguFK2MOTPXghc7fTkROoSdCKKKT4nQNpHqLbDiBIke8ULXRQ67geAdV0PP9X7ArScU28DmqpRqT1xctOfhAuIDIs4WhbNLKyWvJ6ZS7bOibeO0E2BoCyoG6KLYKY5KLel1b82GbwEi8o3B1b4BXGjVr/+3tIwW5xDvcUDseq6vH+GcXwOgYge0Ugsijq7rCCGgVUk5G7Oy0MXrz9ZXsukQOsQbE+J8sIDo28YnrgXG9jvVGBKtSnSBEDoQwQd7H4YQOFxds9vvcc4RuohznhDbQbOE9TBw/8SXc8HHQMmFq0ePOBwOxK4jxGgb2uVts+EtwEXBIWgJ1KCQlZoFLYKIUgLE4NjvPTE4oqt4X3Ao4hSkIt7R94E4BMtAqZYYVEVKQQS6PtJ5h3gHwbVADD44itS2J94rn6jiFCYP2VsS1rVESETxzh439p6u9y35qnao84DYga1qRqsxMjgInUV5h0MQSlbE2eec7VBZa2WelFkqUiGoQMtSjY62vTsES3h8EIJ3jWGyIO78gwZXwYuwd3baLii5gogyUUnVbpYPIMFosBh7yyj7AR06agjofkB3A3hh1wX2wVG940nfocHqTftdj2v1H/EeUHLK5JKpVUkpkUtpGatRCrYQjDaO00Q3TSh2slpOW7HzOOfousB+PxC8p+sCQx/tdFYLtNN3raAqVIQiHrXlSFW70c7ZqUdVmWYlaYVWnyqlPcaySTYaJDihC2LB1YFo2YLrW4A0qvYbAmw70jeSv33t1d9VWcKh4LwHEWI/cP3oMbHrW8CzIJVzIqWMc47dMBC77pXgiqplq6rkbOt7yUxrrYQYcT6A8ziEgF2vOE8IsV1ny3ZT5nw6k3PBOd9oaAuioYv44DlcXTPsdrBmxkLsOobdjlpK0xwswb6uGf6w31FrZb8/cLi+IoRA7KJl8Pdfo40NfnC4CMHZ6tCiaK7UVKjVMr9ahK7zXD3u6aJH6owrI9JKWagd+oc+sNv3VIHSAtu6p9Lo2+AQL2jwEB1VwGejmxd2cGUrqwXUGCA5y2o77wniQCpOtAVtT79r4UlzW9+gsuyhhVpnFIfEQIymZwnO1ncpio+eku19NU+mX8AVCopUo8Clsz07BPs974QYLbg6L2sN2IvgEWMEPiZeO7gGsQvyLbhmGnum7Y3qFZxHYsSFgPfB3tTO4/sON3RWTx063K5DvMP3EReteKlDBy247trPSssOUMjZAmqtlZQipRQEezGcgJaK5oJqJWglLHXQRdDRXljvHSGERtM5qzst3IVTpDaCu3HZDkHFURHQtrFaaoq2za5qXWtmtVyC65K56koz2n8b/SioVrRuVNpbhXyz5Gv54jd/g12oYgvQzjlCjHQt81yCq3PtgNiCWOyiCUycW2lpbdTywp/Z1/P6teWxviHLds6yg6VNQCHG2PQAFnxF5BJcvWWpvh0IlqfmW1ar3uq8ztlarX6hvSvOO2pVYhfbe8i3v2u13lcC7IYHxXJIdM6YjIXiBFDf9uf2NRcEKS3nU8GpWA3SXQ6bbhE12Q4FasdNt6yNtnaWey73DmriBFUr/92TsFwoZcEo2vWdZnTy8nZby2qv0NDt8V3793Ktbik1Gs2sXvB6n2KuVrYTcFXQJSEK9jyca4cFocUB29s9goOHzVw/NfR0xeGKnZAmlBFT7KbgyEHwPrA77I028oFh2OG95/Fu4PH1gRg8/WFHfzAxRbfrrL7qPWHoEG8Br4tGvUrbnFSh1tKCmDLPMzlboC2loLWSUmIeJzvxDx3dNKNarRamFeccMfgWZAPOhVaLEubUAlzNVgl/5UY7o7vFUYuSsq60L1itbJzOzE3UMk2ZXF59jF3vCbtAFaGUTEqJWgVHIKX8urdmw7cAXUQb93C/uir33uELVbqw/GtdXayeGTvh0ePHrTSwBELLSqtWBHAhtA1wyQrv/U1VxvPIeRwppXA+n5imGUSYppmUUstSsetoGaXV8CMxRlC4vn4EyL3g6nDBBBrihBAiLjRhR9s7hj5y2A9rbVjai1DvBfSF5vY+EmOHOId3Hlnz+yXX37jhh4YTSxoQI900V6jaVLQFpOKj4juxDzyRAaHisuKziTbV2T23w1ljMKoivlgMDJZR4rC6rBrzsgRkcdJYRiAb1ey8EqMQIjitKBlTBxTAkqOCkO8JZBFwweF7S4S0d+guWBT1Dm2HSVFth1AL5FbP9YTg0KqmeveeUpVxUlJuMaBza523a8G16wIxelvLpbTn/fHX8msH18d9xy47whwQp5yccnRKccJ5CEy9ZYPXV1f0fU8I1kbgvefRYeDw6ECMgaurHYfDgA+e3X4g9hHvA13f431opwrX6lGuKW8vNcxaK1MLrrlkxnGilMo4jpyit5aCGIidtRHMKZNyaYsw2GfvW3C1jTPl2orgFW3B1e5gk6MHu/m1FHKyonmtTZ1W7W/P80SplXFK5CVzbVtPkI7agTpPKZlcPKqCFyh5C64PDW3MwzfDKyfopr6VZTP5+p9c1ceeGAMLK/HKg7dT/vonjW2zDUuMlkLhrjviQmj0cLHDI9oCq2WxlkwvpLRR1DFG+vbe6Tv77H0gtCxWmvhEuQRJexi7CCcd4u5XlS+v0fI6XCh0oTaRy3KA0HZ42MLq24FrdUJxDiroYMG1lNrKC+CD0cdGIXu6lqXJXGCqa0Za1dpugvcmPK1qoiEUXON5jbpbD5EW1KRlts6+v1yPV4I3fQkVqKUdwypLcK04SqufLm8p5wXfRetQ6bx9OEFF7HKAki2pQmU9tPpWN9U1rXb2GkhGZ1MIx96Ca/CO2LLYvg/0XURQahI0Zz4JFfPawXUIns5HfFGo0HtBg1Cc4IZA6DzBe3b7HV0XiSGy23V47xl2HcOuIwZTyJoMW3GijXu/fECjyqAF1sUdo4lEarUsthZrQ2j/jWpTJcu9m8+6COzeFhA7N6UMbmmZWW55KWgpLDVVi+tG9Tqp1FwoKTdlpVIaJZxzJudMaZm0tVTYud6oc9PgLemKtNpeqWXLXN8KLvnWsq6sBrXkYg5Va3FZiE+3/lb7GVl+noUhvvfIND7uEnRUllouXxeJ5JUMWu990NZvVRM/XQLjEth1Xf/OOZz3a03JteO8uKXv9utyS9Gm4Gyfv+4alprP+qe+CV5hqrfo+lbgncc735SzaoHO20HIB0co1ShOaRSsw7JKsGDZFrZCa6u0vXJZM6vQU+wxtJUCV+HS/Y/GfFwo5nYNofHTRVsrjDE+Fv9altyoXnv7GQ18nwrGCbV9S1XbgffeoXDVQjQWpcUWddYxUls/bfCyilG9Y/05tx42FZzVYD8uXp8Wfnwg+oHyOKLqOOw7OPSoc+RgH87ZSdrETJ79rsd7z9W+48n1znqLULxUEz9JshRcCqgDtdNWyQu9ZosEZVGFGy2cUjuZFaY5U0u1VoWFqlUlt6b8lBK5BbDcboA4Z0InWYKoBfCcEjlnRKDv7eTkVFGdEYzyHU8zpSoJSI0+m6eRlGarRZdKUV1pRREoxUGNVrNtJ01UGceZ27vT696aDd8CFFtTCmgpaLU1YhUpO/GeUqEUpYueXR/sMCbGpihCUUddglDrqxatuIUWlrassQb7iqx7nNWyluBsddrKpV67UG+lXsRPy4bmW93T9AcjqoXdjibOG9oB4XK4uyic71dJHWuOvtC/3/AKsR5Slzehrpnr1//khreBodvRdd7ETGqGNlorPliDZGhBBVfIFKKPhD7iRFA8qsbUJTEhkBOIVS35wYwdpK2dJjuxdVoVrbLuod41OtmKnIivuAj7fY/HU0ulpIyW2g50dvj0ncd3YX38JfgTAG+tRiFaAdcMTVpBZ1mXy/puScyaaIkSvOKd0cW7PthhIUhjJMG7VlrxxURPAEHBwyfpKnvt4LrvI6EbmLVHxROu94RHe3CO6oXaTh+uFZS7GNjvTABx2EWurno7DeQEJbU3fLHjkgO0tbDUQkmp1auaavfedVRVUiotS6yUnJu7zZKp2oZQWt9gLZZ5vgIBSguu3jYqwCjklFux27cCfcWVhNRCmRNpmijVHKBmxNTL80xOyf7uyjiK0W1iPZFLjc82O4dSSbmY0cCGB4UFVlmp2qqXcoC0M3wtlTTNpFJxRIjydXUYC14LTSpqgXUJsMvfacyVMSct213IZpR1o6jLhrEyKfa9uvbP6uUaW3+gqqOUgmWwnYn1YrAkoS7PpV1fS0Xukcr/i6j49d/QdsjV9mvya/7khodF8NEyMywhMXGO7cEhOkRaH4zUtu4VCcZs1Iy1TqJrwPTV+iIWZrW2QLSc0laer61dwVohxQm+ZaPOWWcJTuhigMFRcjFzilaWlbYXuuiR4NbAimC9rfcyV7f0napdf11YSrv0e2NpFFprWmOnTWDllgdrn0TXBFlE8aLWBgTWBqSW2X7se/Aa9w+A4elTYr/Ha0RxaOfbqbwyTYm5Ua6+OV3o0LEbTHulzTGmCuRposyjvTQ+WK+g9/S54kNodc2lyb71mrYT/VLrnObUBE3a7OBgkZYtJ+oQPLUIxfvVxWYRPxkF0ejfWtDa7rha/SE4IXqhD86k7SVDyZScW122XQuyiqpKo5NplAjcp0zaxqtCLZmcErUWpnFiPI+ve2s2fGIsVJcDrHae272t00zNhTllXh5PzDnz6GpPL4+I0YRCIQSqWq9d0VZa0MVGRdr/W32oiqDf8Jfvcciy/M4lqLqmaK/q2om89c9Wy0Z8CPhFPxCDqXeb09P6d1osRL6xngrci4qyvmfWkL5S2Peo7/agqwL+W3jVN7x5RN8RvUMlW/kpZmqxg5f3kVp8o4MLiK7tK1rtAFlaH6sLloGqd6gsH6zZ6v1D2RIYV6Vw+9biMFbXkpkxN3hwCL4KtbhWp7XfddFbx4hAbf214pdAzvqekkYlizTqu/XUipimYFmbdug0Z8CyCulblLara++5y/PwTtbEefn4BGLh1w+uT777f6MbBmYruXIeR07jSMqZ27sbbm/NV9XHgPOOx48OPLrqcZ0Ft3mcQJW7u1tOd0d7k7Z2G+8Du/2wNtlro8FKrWtjfcrFXGFK4XQyxxiQVjcVYtfT7wajfHH0Xbxkrs1kcp4ncs7cP3uLd6uAKoRA9IHoHbvo2XWepJnjPJHniZR1FQmUqmS1A0BOmZQzIpY53J+isFAgopall3lmOkMphdvbW17c3L7urdnwLWDZPKqaR+o0TuQ0c/roGdPdLedp4sMXLxjnmc995h328nl2Q0/YD0TXowjJkkbAUSUY5eo6qtvZQU+Wai2YdKMFz/aVpU6lLYusLXhaS42gVEqNq25goYWdb2rdRaTnPbG3tb/Q3XAv1q6F3/rKf8KSgSxbiq7vjHrv319XIr587VIEfvWbGx4Mg79m6AAmlIJzBXHGhi0tU1Y+mKm1ICqkZPtrnjO5MXV97Aid+QrUYO2RjhYcAVG/JgrqmgEF93pi9dIbnUoxD2BVNNgerdXEVFpb61pT6roYcNGjqAn5qolPlzowWHB1S5mtBU+CmMuTiCngRTA+twlgC005yKWGq6yxZf2A9b1lQdVqxfqQNdfu6kA39K0+VJlqRie7sJQS0ziCCKEGxDtS6pqSUFst1YRKac6M02wvkPMgjhAKzgklGF++9H4uAiFVbarfbK0Kp5F5TiYbb5sMYIHN+2af5YG6KtlqlbWFYS16A0JF1VmQ9r71TVn2GloRXWuh5EItXyeSqpd2i1or3ziZqNFy681sfbBN6ZxSJm208INDZd0mGrV7sf6bxjPn0y3nceR4+5JxnhgPgTw/pviCZsVVy0ilglQL1Ea9OZSwBrc1aAmtt/ByDa+c+uGVuOScwwczLpEq92pMLbi2Bnora4TVt/h+lrlmrmCZy5Kd3iuWXiQpl38vNeAlc7i8ZqzLeX3g+5f/v1I+bfi2wYu3cpskwNS5vhkgxOaTa0Ev2x5coKjtxVZOMzvBKq1U0rJWW8uXWw7LfzQxEZY40BhAyqVn25i9FnQXmhdBvGWfzi89pq3vNNjfKlqb5oFLCrm8b5pGYVlibn3P2X6NW9zOPKJia36pm/rl/aB2vmzXuJQ5lhZPsPepW1T8HxOvHVxdsJsWq9U7qYk0n5mnmdPpyO3dLc579rIjSjQqtlgQKbmZQVdlytnqkgqUilLXmpL3RiGrGtW7GDOswTVZm8LpeLbgCmurTtf3TNOE856u74ldv9wdYrQWn6pK6DK1ZNJsfbDSBCrihBg8QxfxDkqaGfNEnk105Va6V1cKJKdsauGUyDmtCk3nyrKnIkCalWlUihc8Jp4ppTCOMymXb/6Cb/i2Qu99eCd0weOKY9RMSiNdHhnyGckT/vSS+cOI6yJuCDAEcA7tBoLvIER0uAbfUSrM6lA8zneI7+yETstYv77U2QJVCIH9fn8xI9GlTt8+6yUwiiytaqYZcGI0srglC9bLs1z/3vLvy3ap65cvRhCvBNnlUe7vrvqNMXQxC9hGuL4NWL+xawGs6wP42IKfRRUtUKqQC9SslGRrpCJtPIwNNlGn5sXbujQWxa8A1IoWK6ktpY4qtQncFE1QJ2sD0ooFuFYjhVY79Q6V2tYpLHup3FemY3utXyxml/1ZFmMLC5yitYlhl69DC41tD5Y1SKvUtTyiLV6Ib9eI0djVXVglBw+rFg6dECNIts4k6sR8PjKOE7e3L3n+4oUphYM5OZWcLOgk6z0tyWpaqWRKe/PWUtbTzjhOwKW1AFi/V1WZZ7OSK7lwOp2Y52QLpLXtdF1kGMyc4nB1xf7qykZ69TubKqIBF+Oq7q3VxFCIZa3LqK/D0Fumerplnke7hlIbMaHrxlJrIaWZUksztbBMutRq7lLQAjJMLnOSmeCFkmam0XpwT+PMOG2Z69uAYqyRanNo6SK5zIyayOkI88g+HQlpwt8mxvePFO8ooZBCxcfA8ORd4uEa6Xe4oOD3jKUwqlJpNm0xIph7zCIUqfeyyiWIdV1nZhDcyy7FNjCWU/e9i9fFLWwNtBbgqtbV2k549fdezVqX7P1SJFnUl/eD6yv+wUvWei9xXWtWYm0OGx4Y6k2U450JKGMgipmCzFnJRdFigTUl88nJye6hE0Fio1qdCe4Wwxykjc10bYRbzmhurThiehNbBk3JPin1bHoUFW02moK0wNYim7Xe2D/Rxugsm+qy1Cy4eVMgu9D2XlkHEqA2us4yWbmXWgvNvLApmJcSR6aqeXzjLKgKTYCFtMEV2OO2o2YOno+L1w6uVStVSxP0mLpyOWUvtVG3fK9RWOaz22jQNsVjmSSypOZLZlrv/Z4F1ya11jaxo1yEQ6VlxTZiyHL/7ISck7UvNCN9oXmxirVYhGBF71pMEAKLVdflZth9Xgr+Zd1LXrmJCzW8vhb2OphtZhNM2b3GZnUqOZt03S/F+EWM9WvNFN3wbcTC294rDyz9blpwNeNqxmvB14LkRJ2E4ttsXpfRGKjDjja3CsmzCfQQRONaZ5fWo/pqytr6n+9dkfsmaZ9ysTdc5U6qazvM5bks7TUX6nipoN5/rMu/f63XRL/hS7K+QvdIZJFXvGmXw3AtW8/2Q+NyXloyRDvoVG207b3vWmsjq/JbG/vB19U4L2GufSy3evlcW6a71j/EYmyjhvGsfPJK8WLU7UrV3v8T65eWQ+LFuOSVJ7Ae8uyaL9//Zu8Hq9QuvyjtDbcKDqVlue0rl0S11WT5+DTMawfXFx99SN91pnQtlePtiZyM3nTO0fVdo6assS/NiduXd8zjdE/puN7HVqvNzXRB2yzJhSawF2lpkDYhsDaXEBDnEVcbNdBO5OLa161WVRVElVoyJc34ELjaH/AxUvKe6+srq7/WCs3Ky1X7WS3NFKIFbmkybqG2Q4YF+pST9dLmRFozV11PZ64FV81KnhTvhKGPDL1lKKVNMtnw0FiMIRTVgtQZyWc0n3DzHW68w80TIY1oTrgpUXWmOGUqZ0oZccFTThPj/oAf9vSnCb/bQ3fFfv8U9RGRjDjrd1AJ5kQjDnHR1usrFPE3C3lLUFt+sDZadvGuvvT8Lc/qsgnJ5SFoFNgrX1oy18sOt6gRQNfDZCPi1sdflM21ZmrO1Jo5H2+ZpjOn4/H1bsuGT4wpFWJS1FXrgHAFdS3xqEtZobZ8bKFMXSurmz3i/chlnueWVlYVSm0OZcWCJ6xmS/bTVfAKOgti5CMSFRfbQwYx2rmqiYRU7x0IsHjRgnzwvk3NWUooSxJWze94ORwsR0W5BFL7gqM2RsctM+tYasTLQaB9UkfFr4fH++yNKq0L4OPhtYPry+fPiTGS57JSmrlN9zDPRjPpXwrBOWVub+84n33LDu30ELxb/R9zMhvDUivjXMjFHst7oyS6GPAhtnufW/C0qSA4U9+uc2NtQB9tXlGr2SqlmClE8I79vme327P0JypQc6LmmVoy55uXnO/O1Gz0cymWdQR3qbdWNZl5qcWo73pxaAJB2u9Ym5e9FonCSMYJ7Hc9KXeNcvGrVeKGh4XRT7bxOJ2RekbLGTefcNMdfk7ENEHOuKrUBFAp4y3zdItzQr47EYeBsNujaSbs9sTrp+xcRWJPdZXiFJVAdgNVOsQFnOtYHWpeoW2/8Rrh3tbXNpaVzBWl1Axa2ubg20bjVqptfRz5+kdeQuyrVG4L5V93DUtHYzvhqylDa5pJaeLlR1/j9uYjTqfzt3AnNrwOUirMScGbUhhXwS8DJNp0Vq1rAFEJdrhTQAqQMecley/AJdioCrXVT9XsgG3PrNoEboqrFtjcDDLbgU8cENsq8w6JLWjlhbVsCZHKPfqYdViLXUQ75rVDwkolrwfS5aS4EMkWMO0apdVWlxQau/gVCuq4KPmt0mqloiWIf/wSx2sH11KKGTzX0pRWdTkLmU9jM91fAoqqrq5JvinErDakq4WVvX7tjS6LJVbbGGQZ8ba8HIvtXDP0b9M9nBrF6n1oNV/zVQ0x4p0jRutLjDHQxUgXrWViqRlkLSRbX+tUm9pMHwwLbdKCsS514UZlLwKUNp+Tah6YItwbT2bZsQrN3GKhCoW6DZh+cIgshFE7A5eMpomaRmqeKKW1LThzt1nu4VoKyAV1QpnntmY96XRqht+RcNrj4kwlguvBBSS0WcDNVxW9KHOX4PmKUEgvLTpL/roG21rbnMtKyhOlJKyZ34ZReB+I4RLAFw76/lCBNWy2QutSb728Jd2rwb3ZJLoltNdqI/XmidPpjtvbG85bcH1wrJOV6oVxXe5wrYuuwDLR1V+wZYriFCe+fW5mDYuXu94PZKy/t9Q7tfkPSG1rVJelJsvJFVmGs7f2GauXSosf3OufvWARN736xYXWvjw3VXtu8srvXajq5frXNX3v9Vq+YAdbuTi1rY99YYM+Dl47uOaUzcyjFESVUDO9ZoIoj4aOuHqZWtArqpxOE7SsMbTRbjF6YmgTCMRZncoZe+DaO9tUblDFkRvtW1RQ9agIodshvjOFcWvVORwOPH3yhBgDu92O3X6Hd46+j8Q2gP3Jk2v6vm9B0hbfXZ0Z70ZympnGE+fzGVVrt5BWQ1sCflGYcmHOhTElpjRTSmVOlsUjrCPG7E7aJycVT7MWS4EcSstubbDAhoeFbx6jodWJpvMt04fvM59uOd98wOn4EYjH9T3dEJFswVeL0fh5TAhKTkrwEz4eyaeTDYy4vmL3/Gu4viO++wXCu59H4kB49Dli56lUUlYqft0koDmFLSIKi7qNvL5flLJN6jyeOJ9vyXnm5uYjzuc7nAt0cYfzgaurxzx9+mlC6AjO9AVVlWkaSTnd20Bowj6jm0O09wpyacxfGBbBLO5CGwh/N4+8fP6M4/GW//Hf/wtf+dX/aZN8NjwoclHrt052ry6Nhq2zWpSSQXEtyXOYTZIQgo1KdKKEziwTBc+axQGlBU7X1gFVkTnjshnvO62tVUapwY5e2gu6E8SD72zUndZKFkuESlVqxuhqEarpls24wU5y9uSUVxKuilo7EaxtRE7acHMRqwW33nM7RiwXbz1zq9ZHFae+HTEby9k268Vhr/Dx9+XXz1zbaV1qaVPmC6EFjH0084UCpKrk1v85NxFT8J4Ym2y6nf6lNRIv/XpeXJNGXxrvLbO0Z2s0rr1kLgjig1EQjVbd7Q9cXV8TY2S/37HbmXJ46C1b7WLk+mBDBYxTb25PR6GWmZxmUpqZ5hlRiME3Gfhy4rOAPJfKnAtpNesv66BrsMbmZbbiGlyp1OYsUorR4KvqeBOBPDic2GHO2IXKNJ9Jtx+RTnfMpxvm8Q4Xe7phhwsRnU1xqRVym7QkqtRUKa1loJyPOC90xx063+L7DhXB9x0y7HGHx3i5omglVaWq6QKWmqdzXSNe4VJVaqKMlQGxrLGkibGp2V989FVub57jfWQYHuFDxCE8efQUaVOmgjd1+qhWJlnsQQE7LMz2tUGH9rq01KOZqrtmcefFxptprZSUON7dcXvzgq995T2+/Mu/1IxdNjwkTOwJ0gZsv2IZ23j8Wi7pmylmbR/1UYidWHITCs5Xmmy4yVDuy+AEnDfv7AI1KU4VtwbG1g7kBI0CnbX4+GilT63G0tXSqviutux1CeOXUsXy92SlcxaWTyksrGibNywWFVSMwtZiP1sqSG3DYNbeXNNYoIvrrmvZcKPN9aI7qHx8RvH1TSRiYOg7QjsXzc4xY6IcEcUV89WlvR7WC2UB0HtvddRG57rmiuR8wHmjaVFrH65qvqhLEDYjZjtdLx7Byy1fU3/06yiMSxuMfc8UyPM822PV2m5O5Xw+MZ7H5g9sNWTBFhd+oSLaqaYNAkg5t+BaKPdU0+tYrrZxrUrgdeLPvWts17387IaHw+3Nc6IkBgdSEzqP1HlE84wX64sW75pgrkAt5rC1eAcvpY+qFAqqgi8AQkmZNE7UUnF3R+TmBX5OsHuJxJ5cYZzN3SlVa5dQ2jD12NkFqpVdnAuE2OOcGQX44FCtjOc77m6fM88jdzfPubt9TgidzTIOHae+4+72EV030HU7un4wncTxlnE6tzqcvS/SnDifJ1C42h/Q/X7tHVTM5acbhjYO0pPmgNbK6XTLeL5jHE/kNFOrHTQ3PDCktpJVS0yqv+w/yhoohVYvl0u88t4C30IJO7nUHm3PukjYRBySFzp3SYTa8U/MslCC5SHq3DqkoqqZrSxG/6pmOcq9eufyd9aAem8jX0uDLfA1D4jmkmfUsl/ib0vOlqPoGhPq4vZyMY+wNp4ljlysFpcDxYPSwo8fP+LJYWAf7dLPdydON3eUUjlPiTEVo4KrMisUFSLNg3UJru3kG4P9e3GW0XYqAiHlQpmspSbltPaaLqYUrOIoezWWInxZ3EH0nl+kgLkiJVLN3JUJESHlZHZ3ufDixUs+fPaRtVhMiZRqO6VXFkcQberMaZ65Ox2ZUuJ4PHE8n1v9y1pqpI0yWjLX2u6ub96aVmNYW/bb2Lwtc31o/NIv/p+kT3+Kzz1+TETJtx9Rbj5C02j+ENd7ahXmmqg5IyWZopiKFyV4hxZbVzkXC3xE8EJStd/xnikL/ngi7PY8LhmZbzinyod3E+dUuB0TH93ZlCXrxx5so1HrBO+6gceP36XrBvqhZ3/YAcqHH/wy7/3K/2Caznz47H1ub58Tu47rx0+IXc80PifNR7o4sBuuGAZTxt/dveQ8niy4iukKjsczL57fUKvymXc+xafeeRcBxnEkpUQ39Dx++pSuN1MWFUepha999T2effA+x+Mdx9ON1X7TFlwfGuISiO2zqKOUSEm23V9UsK3NzCniKt7bZJrYQegWE3srZ+lap12qdk19m003o7kip9qMdSomfVFcFKQ3KrhGyK3YqRlT+lYoxbdDnQ0TMH5kDau84vLV/AsUM75QlIyS27XlbMHVicVN55p/MR6RZf9dhF0ZJdsTa7yvWSzaNSwKG13+LRea+OPg9Y37+47drufQeWPlc0aneBlaWytZIQugilVoA1VMAbYMJ/fNC3WZSCPNwIG1VisgJoRaWlVqM5le2nl8y3zvH3FWizguGo6lOG4ZxmLyX0lz4nQ6mU/x8cj5fLaWoKxrO5DWhbK4CAVybQE/zaScVrU07W8u6mUTRHGx1GpsyzI+b/35T1g43/BmcPPyQ54OgTJ0NjljHtH5DCXhBfoYyaWSJnOlkZIti9Viwh7nYLG9LAVRR21GI6qtYd05Sry1Ovs8ke6eUPYdec6cb04cp8TNaebDl2dSUbphTzfsGhFs/bHD7oAXoR/2qO6I0baA8+mG25uPmKYTtzcfcnf7gq7v8QG63OOdo4sDMQ7klCjJ5h/f3b1gPB9t83C2pdzcHPnoo+fUqgxeOHS2VRyPR6ZxZNjv6KKnlsEyBzVR3ul4w+l0xzgeyWmi1mLK5Q0PChtAsgwsEbS6pbOwMYLS2heLCZecWHB14IMNEF+C26IwWuLb0oDhRBB1oILUVqporSoi9TJzNUiz95WLuEppgwTESiFtT/x6IdMiGm1inIsXsF7GzC12wQu72cZmU2VJXJf+VTtQ1IUdVEV1qbnSbEgXOeOFpdHlwlZG9OPhtYProkLsYsQ7QQ8Vj6PkSohnYpyZSyGPIzVlO0k4jzqPDx2xH0CceesWm0SSSm6KrotSOOXMPM9mnZhzoxPs7ztv6sfF2Hl5EWkCs2SVfcZpasplCG4ZPVTJxSZHmGXjmZzNSjHNqflvthcW124I640BMxAoefEZrqvqjeXGqFKoi6jOMldMqFVFEK2UElZ6u7TXYsPD4nx8wXgemKcenKOUuZnsC7UoJVVyKqTTTE5GCfuaoR3yxJKENsQZsH3nnpvRQhubsrimRDmPpOORkioyz7hSqNPIeHfDnCvjeEJCZ3Rd07L3/UBOM103MAw9h6s9gvLhB7/K8ficNE/kfLYe3Kqk+Q5lQrCdx/vIXdjTxb3RyeOJnCbbbIO9h053J8bjDbVWbmIlqlHE5/OZeZ6Jtz3jeEPsOooquZVAXr54zssXz5mmkfF0S0nTN4523PBthwsF8X5VBFupzK1lJ23qXucU55fIYntbyS1DZanm0/Y/+5mKo64lT9/ETtpGUFiLZRE7cGaBjJUGc7H+2PUam46mtFrw11VyTUnT3lOrlaa0/6gO83+HZgxsl6k27nPpyjD2U9Z68r08tD2n9gZdA2c7ObAEfrveKlbHfdjg6q3+s9sNRO/Ydzv02tyS7m6PnE4j4zyRPizUnFEv0AXwgX53YLh6DOK4ub3j9u5ELoVxSqaWlUUVJmtQVVVKztRswSeEYBPtudycZUEswWya5nWs3DwnnEDnK8HZ7NdpnsklM0+J4/HcxByJeTIrRefNtMKmpegqesqtPWeaZqvNzrMF2DZDdnH3UIVS85qNLjfIfCytiTpnT0526sulbN7CbwG3L97ndq8cD1CiZ84no65EKAnyqdqAiZdH0pSMUpOmjqwZ32pUVmeyN3X1NknDLeOrFMgV5pmCMN/c4sWTFCRXQlXq8Ybjh1/jPM9MwNR2Otds6KIPHIaDTWqKgWEwn+JxumOc7ig1M89HKhO5TJzPMz55zncf8eKD9wAH1UNd7DibJDAIsbe68mkcub09Wk/48QNun+1QhXlKdrBwztqIRMi1MBdja9I8M8+JWgrn05Ey2Xtiw8MidDM+Cjk17QrBRmgqqGaUijglBAuuugYcJSeHTssjNRLZKS40sx4KRS4B1gz9G18skSoFdRnnlFnUBHMKJTlKtQCfF7ZOQMU3n+pLruiWUpmA87bulxZK82q3SqsAlLJmoKZyx5a4CKJWMxYavb2aY5ij2dqOVO1ncQHVsOprTAS22Dsqn0Q+8NrB1YrNzsQVvpk5aLCh0nNu2WglNpeNdvwAZ8YRMVq12zm3uofkkknZRsctilytZl+IXiwRgda6sjQYL6bm94rSzU4QWOf9OQEpBW3BdZ5s5Nw0J8ZxujdsvQ2hFpOu6/0pIrBaPC4TcC4jwNrP6HJW0nUixH3UCrgmuqqXCQyL/eOGh0VOEyVPlDKRJZitJ+1eFyVny1xLaiO5RHHOssmwNtEs5Qdb69raVi6TcC61I+5lsIqY0Zj9MWqeKWkm1crY3tGujfTKLkApBGfta/NkQa7UkVwmVAu1ZhYeUGui5mJuOtmowpodmk07EFrwN2FUxAVHmiZKMq/tWSuUBAppyuRc22HfRC65Zuac1tnItbmr5WyCpm0tPzxW7150zVzt8xK+lr2oiSr1sj/VapQt3EtUVMFbtlvV2mTcRWu7/NX1/xd50vqhy+O2n6hyEQN7WYMrtCEAepmryhK77Ym1IM6aiMryPLl8eoUy+oZZi5cf1ZUOXjLYhT52616+vF7Lz39cvL63cC0IleAheiE2Y4ZlDBvicaHj0ZRwPpKrcm4uLnk8cW4bz/H2juPtHbkUjqcz05xW1e9CrS6N7s655vfrqMWhzq1CJwuIrakfZQ6BeTrbhJMu0nXBaGEKXkqbaWgn7TkVzue5jbSr1GxK3763wIxa0HZLGWLZK9fB08tivrRM2KUvAVdXihkua8Rx7/AApljeqLQHR+eAkpnOJ9R7puPIeErkaeKj5y85vryh5MI0jbbOSkGztd9cR+EqWHbqRehCbPUmD8567pYWs9D3xN0eHyK9D0Rtavm+ozjHPCVePn7EaZ64mSZu5rG1G5jmQCSjZaRUhxahzhYkvVRiUz92VaB6vAodi6AuELoOcCSvpGD1/1TMES1XoZLACyUXvKs4MclIai46c7bgasOoQzs4LD0fpl2oWswKtBaKFspmiPLgKAUk2bhEO9j7NUhpU51b3TKjpc3IXkdnOhMXYS0qqpbluqYtCFUoTWgkxVvbYwbNCU3mCKUu4bz1sGYvFBFKFmoOgLQ5sK4d0rSdO01YxSI20naoxFg+xRE1IARsKEGLCVIQClVqE+SBW2e4Wh24Kriq9iVZOkXUxE8q+GqDABwRRzSFg9pBUbGHUmkJ0cfEG3BoshNydEIXhN2+Y3fYN/9KB9IR+5mUK30cOE0j+eVLptT8d9NMUTi+PHJ3cyTnwt3pxDTNLYu1IeRGtVvDc9d3DL21ItTgmsy8ME+mZFwm21i7j3Dy1nPYdZG+M/N0pxnXFo42WiEXZZxLy0TthVwM/GPwaxuPW0oX62nLPq8tPtxTKC+nO7138rnYS62quNpEWiYnLxuV9hbQCUhJTOcjWRzH45nT3cx4HvnVZ8/58Nkz2wS83b8yJcpxQmrlM7uI30WCd1z1HX0XjU4Ozmjh4AmduYP1ux3Dbo8Lgc4FIoI487iWGKltwtNpmhiOt/i7TNbKtA6btj7orECpzKUgan3lQ4w4IKrg1ZsQq1ovat9Hdrs94jznXBhLJZXC89PInCZUlLnQppc4gnPW3lgSqcxmOJETKRWc80TpbBykdbJja7+sbmOlXlrSNjwsbHxcJSU7uIuGS2to801XCrnMiFZyhpQWez9pdUezc1W1lhWXCzglFCEVc1jyWiyQZaXOEzrPeF/BFXytJPGk4ilibElJ94KY2IxjrdX6Ur3iXW1/t1KytsTFKFtF6DTiJFpwBUBxJeMpFKmUpnYX9Yh6wLdWnyZAVRtLtwbXYkyn14gQcBrw0rEIdtYhLb5Rww9JCy9Fb2l1G/MAtiDofcCHTCiBECIhZkLONsqrOApmoF8rlJzaRzFKNmcLcE3kZHx4M5xYaOFF/racmJe6bPP1tT5Tc+hwSwFWjad/JbhWG8aeq1LyoiJrN2SZcH//Oa/sgt77gAstfC+wLnXW9f/u/e59n8p7lPIntdna8Iagpc30TRQR61kuxXyiayW3Go/VfIzZyqqIQm4HQeFSDljaw9S59X3h3L1+7mYCobWJS7DDXHSOIQS0FAbv6b3DV1svr/R8s4gszA0nqOKrWk+uQrBtj04tuHbiGJz1lasXkGpB1weS9220WCusOIcLJuzIrYVetM1WVm0HThMTSjVf71XIp7T3nV7U+RseFNr2vWWLtFLFPVqzZYyXfdRdapDiEG2DENvXBGm9qVZ3rPVC1a7dF4vIc6Uc733YH2y/0waP0/ZYse85tSySFksuFhLSJrKarW2btrgyhrKY8rdrWdt3uNfn2y7BMvdGj2vzLVhekOVD3fp57XXVRab8gMb9MTibcs/S3ySEvkMVup3SF4eExC4l8N5mpwqklLg7j8xHm6KTzkem4y2pFObz3Oz/Wj1XliFA1mPqtOI028mkJLRYk/75bDaFNrC8NAOHS1eX2S1a4HdN27ZQyMbiSjOIllXEZA3Ul03CN5VxrRUtuR0EEjnb7NZ6r7j+Ct+/3EI18YDVwloNoprwxaTpJmjKW5/rg2M+3nCrifn21mqYc6LMiVQSsnf0DDjviH2HeMd0O6IENJug5+Y403vP4CK9C0iEECISPF0f2e2GFmTNFKKqmhAuV3zJEAM+ZwatfOYwkPpAVxNdmozl0UBWO0mXtsbKnEhMUCs9QlcsYO59pPOhBU+bgdl3A/tuj3hPcZ7sHblWnu4PnNJEVmXSTFG1RR6sZpy1kKvZiebmJObESkBOHBXTHijaDOPtwJzakIt5Lvy/eP8t393fWJjHSOy65sIk4KMNOBHL1FYxkTYDBTzB9ah6tHao9m3fFJwkoKJ1of5tyLqVPyPOBcjF3ASpeFVCrQQxvUtXHEV07f13QOciQUy3uwwScLXaIVLMB8kOgIIXb72qVYip4lp3R9VFE2PV/6pKEEcNkdZndCmlgsXG6tEU7b2ToRTL0quz9s9KoEpsgiZtIxRBqm+Hjo/vNvb6wdU7E0RQ7YX1QugCqkLoocvWq9rvElUcLgQUtYHppfDixUydZ9J4Yj4fWx9hq+s414wlvFG5LM4gpZ22sIEBJVFLYhrPnE6nFlxbu869zNSJuXZYfUouGWg7dYXg6brOTuUx4DrWu3KZaMOqZNOaqe1vl5Lt4+tosK+fLgLcm3lpp0BxUKu3Nh4sWy+LrdWGB0M63XHMM8faDlhN6FNqRgZHFzt8CHT7Hd4HcIH5rJQpk44njmMm+8qjoVI7xQezGHQx0Hc9w7DD+SVDsI0tp4RS8Kr4bkRqpdPKO8NAqQUZz8g5UqsnU1kke0twTSJMpaCl4CuEqngRroIFee88fYx4cXRhYB92uBCgj9DaaK53e845kWvhmI2CVg8aTWiStJDJKBfhnpWT3ZqVLr2Dc8oWXNUGcpeqTNN2UHxolBQRidQm6bVEwUPz7V10RWsmqw4nPRCoRFS7Vt9XE+ZRm3LWJgEswiTnPeo9YowxguKpK4sSihKLJV7aEguHMKB0LejldjCzpOlipoOzRCiIsyFwKrhkaWuphVRtTYq3jV1ow2Ba305dsta2BauCFodm89Suudr+K4EaXDMu8mgxH2VLay2hQzsgIvrxfbJfO7h+PYW5nopgNYlwXpGVEjNXJlUlxkjf2ym+j5EYzZjfp2ZNrnbaEQC3kAPG0decUecoLeiVRgcvNMRixnxfCKXaJiYIVqBvcjNtLk6lSDOUuNBfy++XYqf1pZ60UtMNsv5vfWGaGGttm758bn1ZyyUuFNqiFq73/r3hIWEHxHZWbbac5rkacHTN7L6PZs+Zu0jsOxwOGUeygtc2elBt/Uqr2QM26aiCWcldFIzLwW1pJVCtuBbEPNCJCUI8stq8LUbia7uXSGsNUrzoyrA4p6vAEtQU0BVc9c1cXfFaia2MMTihqKMubURC84p1XBoltG16ixK6vdUAqmt0mhK8NvpwW8sPDg2gbdQgzeyhwZKES+Oi8aVGBSMOEU/FG4fqPCLVKGHnWzCW9ptWPV1mIl28pp0xgwpewTXRjFQLVk6gk0LXHJNsbIUxiWtwbQpgUQhc6qtSTbDq1OxH7e1kgbcs1DKNCl+EpyzUto001eKa1sa3ebKOVUmtCwW8sI7LZ3t9pD4gLTxPyQaar13z2OR5EbyPxKFH3UzoJny2Z9yrErNVchCY50RRJZVkPXK5kJMCpsisxbxMnZjheE2Z02yWhXMIeB9MPJFmXBvjJu2ML+3K7N7UtcHYYSnofbPn0j6WGbN9HwG1Np1pohRPdCC12Ni8YsUH4SJ8ErAWC7ViuSWxbaG0z82lE+fNeUoFchvLp2ADADbLuAeHk9lOvS4i4oi9o+sDiiPmgVwcIQSG/QEfAgORUAJpypznxOn5HRk45cqQCn0I7MURvW0NaZ6byjbifDAVcXA4Hy0D0EopqRmkFlytDKpcO5v6VLWNItSleV5JCpOIeXY7q8E6p+yi0nW1CfAKiJKZOU9WT41kujbLsk8J3yxEr7yJTGp05E6oDiYVJsRa0aSsta5mUNrc44xnzF7ItW2FTU5/Hj/+hrThTWHA0a8CJVG11lBZ2hEXLYj5CFADQrSg7HrALDXFuzYMJbdJZG0sYpug4wn4GnCa6XzEx0ig0mGHNopSp4xi3STBW9/pgNKRrHd0ESGhK6snWs3lCQuuy2Q0ldb+pdYiVkVRdWh1lFYXVhWqOBNRqdVktQZUHXV21LS0fQa0Jtq4V3AV5zH3QCwAy1L5rXZYofiPfQdef+TcMoUA7IkvReLmxORjwKuJm5y3TsBYC8U5hmr2a2lOXN3echg6E2MEh29y6WVKhxW5TTVWipIabVpKwbnUagdlnccpS6GeSyH/UrxnPe0s2UJtfai1ZRt9X9ZkcxFKoUqOniSsGcZyZBeRVaAi6Pq4Ru8qNHcdK8S39VwbdSGWMRdnWVOpZu214WEhUuwN3QYqhCjEvk0K8ZFawYfArjd6mL2QJ0gxM3aBGdCqzLWSihlCrJmr2gQpBLw40x/AOrRCnGuUm67BVarRa4NIO5KZAn/tt67mqRqauKoApWWp0VvmaNnHInzK1HbAdcGhzXzFF1N24pz1ontP8UIKZhSwlHwQtTnTTcfgdWmboI1+VIIzOztgHU/nt1ach4d2oN3Kpi2ltGV/WvU7i59gc8Izs4UI0tl7wdv8YuM1cjPLd6gGo2nx9qGKF0/wnqDg1XybQlVitXaWXgq9zzgcg0BsrN4luAK69Lc25gcT6rm2HdpADHN9kjajZimVZBECnoAd9iwsLkVXZ8G1BGpavIy1vRpWTzaL2iVztVYeWVgmdZePj4nXDq5Tysy5GpWEa43CFWorh4tHXMF5o9Ssp8kCivOe2EVEhN1u4OqwI4bA8TyZarhWE0XU2pSWre7ZFGOwWAW2wjbm4mE+ma5ljzYGbjGevkf6NUsth8RlxFCLp7KozRba+0LZpTlBbaKSWi9Whi24QlM4t8C6KEiXiYrO0lyW/dHmFi49Vxfv4a194S1AfJvO5FkGii990/ams1NxaUq0SkWC+ariHdVbP13BVMRLXVTt+NwGWBndHGLEOWvPccHeA4sgQOxSbEaxD8TYmV9xdeZPrK5N51FcjIj31GbjmWtp2aqVPFg2KlmOeEvNhnbAxPpScwJxNm3KCRBxXW/tFsjKqpRaqZgrlbaNcMlcl/dEaZupRXph3kbOPThc82ZfClUOq3uaiNYtdYLmk74E2woURKxX1VZMoRkYolJQMiKxldTaFBylSXXbR6OLXSuT+OYBHFxeM1crXdR1DRl0LQIvg9qNIVbzZ79XSluSFeNLAzQ2sm8q4SyCFMtgqwZqjeb1rVZPXTPS9vTtsev6N9ZvLdcjxdye+PiM4msH19vTyGkqzBqI2pGyI43V3tzRBExeIXQdnTWOMqUZqIQ+4qOjlMI7acJRGdtg5aELpJy5O42knO2+rYVpwbd6zjybstg5z24Y6GPEOQjRaNbzOHI8niilkpR2cl/qDtZWETuj5XKpTMlOZ8sEG2Ph/j/s/U2MZel21g/+1vux9znxkVl1P83lmj9gGRDQnrY8YoA9AIQQUjNCgj+eegDqCWLWg0byrIfIQshCQsgDGjxAQhYMYIZkCZCM1KOW2jZcsM29VZkZEefs/X6sHqz17nOy7r2mqjIryr7eTykqMiMj4uxzzrvf9a5nPetZ6sN8K491tbNMCMSUzL0Jm03bezef4FLsYFCUMoKruKpNBjUCjUD1gFuCud4wgvbuLfz8SAfCdGCass/YNbtMGFWmCE2szUubta4cLPPUQ6RNCenKCiytkZqVD3prm8PXmPp0OB6RFInzkZBNOTeMT0IISPANZR7Uq9J6oWmzNRTcw7U1Wi1m7VnOlHWxg2CzCVKjL1uCn+bV6l8ahJBtBmt9WlmX0xAAADDd33E8ZlcWCzVYU/1SKktdN7OMwIUWVqzvvVYzuxiM0HkXND07giRSSHYQw0oFwyFPJIIkQK0NBnUKvwJKioWo9ucaCo2VTqXLQqcRQzA3PoL1fXq8GZ4NeI910gC1ocWy5hlllmZDKzSSXItwtbFfgpmLCVF8AIy3+rj7l2JlCUSIfSIyoQgpdFYJFIRHjVQSVWdWvaETCZb3oTSkV1DzsdfeaXRCMNGg7ep+kNQRKzohPKOgqbRO7dhkA5wWblaeRjGqIcgmZpJmf6cLEiMhCiEGZp+uE4Jwc5hYlokYgp963xYlSVDLFnzSTK2NFD1zjYEYhTlH3yAT5+j8+VW/3ThkhQApRVJKINakTx8UhWeu6Pa5u2lGDDb0MIRBC/vgAIUxx/UiTFLb4Jx9sSx5FNDVSLerbHXQ0zueGcEywpDCW+I1gGGzaWxs9+qC+wirZa42r9JuztbVs7nL2tkkJG4qEZKxOSHbLNTuJ3cJQvD1HWOkx2QCJx8kHSTY8PMghNY3lmb0vGrvFHVNAGOtDwrsOlOxzdbqTz7FyssfWmcXPMWtfxBfp5a9chEzgY8jM+Ff2zQHze/PPbg+N4IEExt53+elZDX+H1DxiU2Dkt2I1G7qXhlcR3/rM2Jr1KbgWAIyNlT1x2H0nqp4j/al1SaIEPqYneo/6InFFlw12B4Pm4YFb3/cvsefa4yR1E0FndWuX1DWIR7UgJCsdVPHitXLRWNfFi705SVrHXfteJKfPul55+CaUrYNwj8U6LVZs7Gu9GYZXQyRPE0m7W+F0KJx6mq9T3f3dwTMBP/haWEpjbAUTmuljeeFfQ4q5G6bQgyJlAohiA2zFjy4Bh+bNBG4pbbOw8OTZYSD4vXT9sGzxxwDmn2QexAzsgiB5H2BMpqWcRpf+9aCECQ4JR3M1FyNShjrZsCyCqNjhGBm7GAF/D58lHWr9+54PqT5HhXhvBY/AdmGYlTuUMYqazUbuNKFtQm1WrAJKZkyMlhmaFWhiylDdNOFNE2kaTIKOiWjdXunrgu9+HxJSxzsOvyEb+O9FJVAj1Zc7aqb/SfB+7QFYo8m7pMx3F0JITLFDMFEVjEEOtaC1t20olXr026lcH54QlKkzILOXptSXCTjBhqM4GoLVkevuKqZS3i2vuN5kVw1LgrDlGFQuaYkxoIVWOVSsZZFOkJBWIzmp9nhCz9AYTOxbe8yS0WyUbDERKvWMtZ89YcQmacZoZOjX5MH/LHFyTjoBbZh6yFEJJgmoIvpW6S7bmV0kNhPW7D29Tepjgl3VCI2CDVSPK2O0ujBD7HazY3Fk7beoYdO0+rljj5Yaksa2VQzn+49+Dxv3DXmeSLPE3GaCDmDdlpZEQK1RFPmixCTGUiEFOlinpZWyLIT85SEu5uZ83nh8bRSqpLymcelUIf9oTWYeh03oQrTtHJY7TQj3uKSY+A4mYPMISfujkdas01yXawXtdWV4kYNAmaE4cMEAGoxz2FBLjTIoJLFGPvubzYoMQQ0RAuuEr39odsGc/V6ddWL/SEjebBMfnzj5v+541mRDh/QWTg9PtF7IadAjk5PhQjRbDbNYtO8eEsP7uoFYcrE3seQDbpnhU07OUSmw0yMkelwIM+zMTk5IzGxlkp5OlHOJ7R5+UIhH2YbSC7RlZSebYZgCmHERYSCxoDECCokTXhi4a1jSgyRKVswz87sCKaA1mmil4ouxfRU55Wnj15BDNT7mSazHRS6XcOYDsVbp3vPiUK0TDqqk1f7Wn5uZIEsyhB3WBbpcs+eUY2otq1UoFR0M0jwQz7Wg9q8JjkkmRo8E5RkB0aJaCu0JdMkIdpYtaMqHGLimIMryytByyXLBV/Ocgmw/tghmKLelpiV22xutx16BwMtWHki+X5pIqlgJUCJFM1AYvFaa5dODF6+60OR7LXcLt4xUhBp7pGtI5fHhj4+o1o4RAsom7tCGwXnoZhVO5Ew+H7P7BinceP7JSWCZlrvpJx9lFyyFpwR2KK9G/aY3iubklnBqZk6aLc606DCLJuMmz9wTBEqtCtaVrkswOhUlwibEGWImUZwHzWC8XOqG8O22dwp1t81aOPLEehCSHidfuvL0uvv2YPrs8Ms/GQbJRgDaHxb7DZqiSbcEVqD5kpz+3fZvu+agEJMyBFC9M3kssNYfOp0d/zSZu4xAKnnC4kh2y/bvrY9hlw+W5nCB1uMyThqdaTRZnaRurBdj1xqIWZoUirazWxdW9/mWV4+3u5x9zTJ7z+nH6/EgTueD4Ex7YaNPbtki2EbDD56kkeZaoTRIb+7LKqrD/WeTw22nw+BlATrGHEXqK7D+hOiqJUCLT29LpJsn7cY4Z8h+FpSexyMxRkJy+XD/+9nCRlrHd4KwuPRNjJ4PAyXPfmy917W9lv3/2fYlt85uB7m7AIQd2uJ0WgqAip5m9VndZhGqYWyrrRaCFFI/uKTssv4hZubI7d3R0IK3J9PhDSMl+0NsX5Xm1MoYSLPXttZzvRWjV4+L1Tp5PnA4TiBCC/ub1GEUgqvXilPj0ZerEuBbsYR2Sd90Jq5P2HD0INnr/kwkae0TbFRny6RXCByd3eLxMlo6NOJ02ID3tflbEMOvC57/WZ1sJadfllmeyvO80M1UEvn4elMqyvtmFFsbQctSLDWsWVdLYNtwtosc308Fx7PlaTKbRSmKORm2d3wazUlcqC3xnJ6QkKgi0n9y+nE0+tXlNPJNzpTLMcUiXO2bHW0LrhLzjA9771ZW06t1HXFRuDZQc+MWLye2tO26ao2W7+9b7XR1hq1VNpa6KHSyooGoSWlp04LwhqVOjZHr4UN0ZR37BsEN44RpO5r+bkhvblpg4USUw5bUB12g1smNCw1sXq7DBUwwdaMRpBmRvt0Ur9B6sFo2214uYAcIDV6K6y10uhkvDfVk6PLYHWb8STjcMlQEY/faQ5otnK8hCjNhqb4DOVtJJ2K+z7Z76GbvrlThjUFEibM56liM33aFckrCOZpAMGz1e40+DDe9ZLeZ4iu7xxcj4fZxrhFq0uNAjIIXRIq0QUexW0JC2UxH948JdJsJ5+QM5FEJ3C8OXJ3d0NIgbvFPtduytuul+AKQsrKrDa9YBGsblVX1uWMtspdiMwv3BXqBeQps6yFdV04n20i8LpWWm1MOZFmex5mq2jBtdVKCV74DwdynqjVfscImDEKkcDt7cR8m6itE16/ITydbPJPr0aFX8GMAfzs1i/kmsj3DwvY8cWjd2EtjYfHE7UuIEdiCkYdubVXbxZcW2vUJiwl0JryeFp5PBcScJoiM4G5W//naMYyBiXSW2U9n2xtedZbTidOr19RzieQtHnBpjmT2wGCBVer9VsdCoHudpvauw0aKMXKHMnYGkuKmzma5ewEV7BWolpcoOSlkhFcS6GiFFXrn01KT0qPQpkiNUcXTnlG7KnBSMYv7URe5Uv7Wn52jOAqI/sLHticLUS3Gj40149Yr7V0z06JSJ8JTEBHQgZpxHYkyIEg0Tp6xsGKA0T7PYUzlcqMuBIZCMG7v9Qsa9W8BHrHsuwYCcHb0kJGJb19vQRCUD94KuL9mKpXCYszxw2lSXFlcEBkYXicCUYL27H2OlO2j679KssXD94ASuMZg6upxuxZWaYXLheF/92DX+velnCl9hJXE0exaR4pRVKO5JzINVlTcrQ3vXa/aa9ote3ErK6ajEZXdLGalOC1UT/tDNo2Rh/uzjCr0K1vdRTVGSeba4m4yPd9XCMEC7IgZu84Wd/hkhKtJpeTe7fhYIG9pqGDX2anhb8M6Dboeyi9zcxjtFFJEKtR9cu4qtpsklJrw/LQFPQrJnyqtdtHszGI4M3x/v7amoNei3tguzLTBVXdP6TLhZZ1/kpVhkzXM46r58J1yeNCwI3HHqriUY8dIxHHojRpgHow9x5sGc42l97vq19v1Jrza/vq/bLRQPr37U+fhCA+VSbahwbM7DPZ32WMbgMwO8VtVupGF8OlD8c+bDWaYK7pyP+GF7Vijdy6cbG2lMQp5lFClFEF8UdxChp8oQ1cav6jT7WL6fa7dlSGytnihLpQUce95q8BMko013fC5TEuxZ5Ph3cOrlOCQKWcn5BqKf3wm+xhRSXTWuO8LJRaXRRh54AYbVqI0bH+USZevrwHGtNj5PH0ADSWtVH7Ck3dJMLf8G6bkEjgcMhoFnoNlFDpzdoVzo+PiAg9JFKIEAM3x4MNiK6Vp8cTpRRahyll1IdID99WIxa6O4bYZhtDIOdsNN+giLGfCVFIBL7y4UtefvAB5/OZgPAYH6i1cj6ftgDb+6WUZiSObv/f8bx4eP0x6/pg2VtrLGtHzs0GnOdATEbfr9Xe7/OiPJ46rXaelsK5Quydj5dC0U4pjQ9uDlu/bC+rrfUUSHm4pVoLTSsF2orQUPEB5FjfaCll2yR1VId8bYqaHyujbhYS0GnNarh0UzbH4Fuemhq5FaUWO+iaL7cf7oKbErsgpYtRbKv34K7lohLe9jfxjRE3qbguabioa8fzQuVkASocwC0Oh8a2u4k+ojbijUhgJpJBIMuRLDeWsfmkLiEByfa/npEenW41WlgISJ8Qn1TTsd7tpRUe2koS5e544JBnFIihWjLm5idmNZjMejRcarmiV8YnXgYcu6VZMRrFvFHbniAVhSWsVOmUUaIk+l49gmtBselrqmkLstLDVSLrOgK76u2+/DR496k4QRBttHKm9EgUyxqtj6qhodJro5xOLKV4Y2l2U3+behOTqRinbIKjm7sjra2AcpwnymqD06PY6d18fD2Fp9sLokKcEqJCrxB1ptdI83qnKqT5QJrN03WeJm5uGufzyus3T5xXq6uW1jdadsvBZWQGehFLBVNASxdq83Yh9eDqLRHH6YaQZ55OJx4fn8ytaV1YFjPRuBySPnEiks9yPtrxvrCcHqjlbO5grVNKR1bzGx3OZ61bZtpqZy2N87lSS2dZG2tTQlMe10J145OHp4UoQq+V0AsxWJvYlP0GtlEi1meqlWFYPgQl4+C2CQCvrndkAaM/L2DKdlXoraK9bvSXORGaOp9upg9lNNA3vbAzTusismXJDaX2TkeoTXw7uriSDcEH4PTcZfUKOwvzZUBlAbHJOHAxXx2ra2Ri5qWkQCK6zC3LLVO48WBVaYwap2ebmtDuk2OCf4jVLQPV6vkk0EbRyqlVkijHgxCiBfAx56xpR9tQIkfwecODoUQgeNslEn3EoXpgHZlq35iWqt3WNkLxWU6NiErB6O/LcIyu/jV8ji0B7bK1XI6s+tIbbMfHT4t3Vwv7W9abybrbCK5iFC0u/xbvf5OYvP0gEtM4pVj/YHMVZr+iqSQMCrcTowm6JcgWlDZmfND6fqqPm8NHcBcSrMF9LW4MYA36YXv8CxV2ERO5gtLX4rCyG3TYaIIOrgQdFFxvFemBkIzmC5iqeZomem92/SKbSbUytCCfVNDteE7UYnWgEC5evq217bNE2QwSxvYEeIYgXmaw2880AkqpjVIqOUSquYPTFO+e9dGHXtq4zk6tZctO9aFUW99X/c+bbmj8PGyMEPhadv9t7e47XDqFAtIoBIrTfElGf3a0gQIKTa1X3Ra6XILuJ7Bl0tvjXkQfI/jvwfX50bWhapkh3rI1PJ+3AoBeG0t4C6Ef0EIYPdWXMsRWMth4NjuMBU96xL2GuySCZDQotEp1vnWbFjUeVVxwp2zmJLVaH2qQ0ZdrbWm96bAI3nRzwRXEnZFde+zvakMsGL3mJhC1fPXyf2Q8jwDiPb6eGFlgH7S1d5a4RcynxbubSIQOvbCebSSb+IDxIIEwKZLsGkNKxBCJeWK+vSOkRM6BmK3Nxiz/igmFamNtdgKJKdnQXwLHHiyjqLZpjVt2vBFx/DkIMQVUop+s7cV9WiunN4vNDo6RwzxZTS2ajLwprMXmFiaBPKbc4K5LzSiFWgc14Cq8EAnRTlCrT9CxXlwzQg/auDkeTNAiwps3b2Cbj+lFq4AvUNtE9w3p+fF0ekNMSsqRoGYAsayLq3qV5LqC6u5MKkahiippyhyOCS2V9nSmro0cK28eFqQpvZqBQ04BiZmIKWlzMpq4VqH43OGmsLZqczeXs7mGKUhtljpf1YViDKTJFO5DS6BAaVBWY0RGe+DyVDjXxYitmNGYSSnywd0tt8fJ1jGYUr6unIpvqMkPysEOEcPtB5ygU6X78OyuF6ex0fazj098frS+0LoZ8KPuGuYFzKFXERWnhSFKIkpGCOSYyc6A4DNTLxnfCLLdEwubSgbm8asqdCI1NVSK3UP1gYJy7rD2bjaMmIWnDu1C7fReae2i4wmuMbB/c3FWSkgQphS5ycnWYW9G8Xpgbb3TiPQY6ZJpGli9X7dqo7rLlIp7N0pD3NYwxEBI1i63OQ5qQFuAzmfyfH/n4Boxx4zWzaeySacFs4KTnt3YQbbe1pgyaZ5JOW2ep4ApGnv3KTvdpxaw0ccxJlIyhVjr9ZLZDmUidrAOMCKspf4hWAuW2ht4WmxU3fF4NNusOPq0hjG5bjUqq23J2EG2BdadOg7+PUOUpRqgV3opEBpaK5oropa5djWRk4RLk/agm7dY6sevfUN6ftS6+nqzGlJrth6ld0KNnrld1qbtVQJBCBFScuYDsczVqeM1VkqCWgMiakbiXJUXgqDRNz2nWYd1Iq362CyFtXpw1c2is2drjwghECQjKXom4B8KzTp1OJfG65ONd5RsH1NO3N9iVp4IJBs9F3DHOC6bZwAA3INJREFUMO1okK1Z0Hpkv1+wtPUE9staHirQfS0/P1TN/zpoA0wB2zd7w7gdjoLTnQFrgwkSbDi5jO4Iq1z0PnpTR2D1WqSETbUb8Mk6Cj1M1ucqiaqmVR5iQMKQRtnOrT7qc/PydRZPXExXa7N9OQSTS0XzJRYxm9K+Hfac8dRx9gzYtFg3h3DKWLeyi096EoXgjxuD+Sk4s2h7Ogzh07NmrqoN7dWG6SK0lGgSffwchG71mtOystTO3JV8c+PN9DDkPGsprOcTtRYTPhknTEqJaZ7oVJLPOLWTs92wKZo9oYgyxUgUpa8LSzmj2jdbxBCVuAy1mvV6DQp69LBKMDVka50mF6H2pl5j0F6WPTS3zhJ3EEHd+7JX6MJ6PnmBXejd6eMAKUabENSqnwbZxFN2Ytg3oy8DKUVitjFr5mXaaL0iItQaNhHIViEXsSw3QvSY14LScqR5prdNdtIIYr2rXQLVqbrSTChXWzOnp7Zp9Ow21o4Go2h1LWhpvpF4BUiFJgEJnaUqYan0rjw9nFiXQm2dc6m03nlcKq/OK61DzCshJ6acgUypdlCevTNwaZ3STe5RVal+mB2qYWNd3DYPs3UMuPewD52wM6tcxkbueDZclLmwNZPqoPCNBgYuLEjwejy+X21BaEV97qo1ogxa1w+bYtVTZOyN7kcQRuCMkDMo9BCpAkHNpCSo7fvLWsxDPgQ73CEesG0fbIPcE7jImcbT0YtewMsm4oPRcbUzarNsGjY7tqvNJNbQQTzA2r+iw9JRBLrNrEVMcazPXXPVVmm1bI8Zg518htJLWmMtlVevHng6Ldy+eMl8d08Ilt6rF8lPpxOvPv4evVkvrPU/B6bDTIgBwkqpDSmNEk2oIcCcJg6HTAqB45zIKXB+fKA9vWbtjRgzx2miqfBwLhDOW2sBpdGakmJinmaj5JybN99VF5BLuFBcOpruG60UunYSMLkTk5YVLQtdxxD4YOP2jrfENJE82LeeKatS6xhMMJID2e0PvyTkm5mUofpQcq0Lta3gZYUQLNBK9naBEJiOfgNGIEFbAvWQqKcEMbC0TiyVm5ZNyes+1YVgA8bXaiKMDmW1ksTwE7G9wig9bZ1+OtOX4qxJtugVFW0W+EpXige3p4eF5Vw4l8rHjwtLqTysjY+fVqpCTomUE4cp8XjqfOPDlUMKfHjMTCmySOeM0kRZVFm71bz8alybUOnamUnEOKHB2KFSbVzZEKQs627c/9wweVLwWOpU7qB0uwfH7WtgrSorVl+sVPXpShQ0NGMkxNsoJRLItscTzf7Q65IWXEGjWXSqJIQZiLSUWHAf4HVFSmEphYfHJ5Za0BBoMXqgHpmluP92IImNLE2MQTy+53ZTxncF6YPujuaHIOZwVr3c0qTRgwsHpSGhAw0NJjKVENDYnM3MNjYxWAnIGneeUS08BoZrH0VytzpXjBeiU1pjXVeWZWEq69ZLqN2L5tjczOJio+FfOgZNxxR9nmuwsT/CdipLQcyEPAayK47bMrJiV/earcc2DxYvgI8awngcHT1/jHUoVyIOuTw/7z1s7nxjjcqeTW8D1G2Tq90WU/DCl4A/D58OBJskZBwsv182suM5IEnMDKXLNi94s/jrbok0JtYEfx/dKIEkpolo/jW3yhxMiC1pd6vBWlxwukp6v9C4/Tqw2uOby5IplHttLhY0m88O9NroCGtrLNV0AU9LYVkq57Xy5rRyXhsPa+XVU6F1JeVOTo21dB6eVm7nhT4lbpIRhTV0WrBN7Pp67LP6IXPcB4OO84zHKURxQYjumevzQ4cWR7/v65fPV2rNq38cPdaKBSD1TA+aDxy5zuD69rOjxxTURyxigTxGF0eFS8bZO9RGbZ3a7HNXW28qYoyoB9cUR3un/brN6vPqqnVLSC50s3gL0kWC9f3Utj3H8a/+XEz4Ys9tWEiOPll51szVfUj9ma6l0NTcZ5alsJbGsla+99Ebnp7OrK3x8mtfJ2arQXbM7aXVaio18SwAaE3ovdAqtNpsjJxA4MiUJhCzX5ynREqRm+PENCVEK9M0W7+iRkppdIUYInc3N7SulLV6P2MniPkOtyZGf6m6q4hYDWFTU9riqJ41x2xN1/FSkiIDkqIpjs+FXqox9W1FV5uzGYOQUqQV+6nRAnGhcfj+otaOZ4CNrRrHHQmJGGf/qzXZd1XW1eixlMf0Dqu5hsnq7mESZBKawmNpFGBeKk/nZvaeOZDdaqmcK8u6oipUNUHI0pRTHWtWrP7lvalm6N+x32rzS1YPsosqq9e1SuvUIJxD4EEC59BZUoKjfXNVqN0UxP/ro0fKUrmZE+V84DhF+gTtCBqhRKFE7wvQUfI1Klu9x3yaOkGF2pTahqLaPi/Lpz/t73hP6N16nLVtp3XtsBk9bPvLCC4yEkELMu4YV8csVzD1bx+HLBPydbXSiQK1r2YUJJUmZ7o0JK6ePAd6jGiIgImLbDJZt1nBMdJTNA3BptR1bcs0WYLlwgYNkR6E6i04o7d1JEpRhB6xmd9BrdNEx5osRnWLInZ0vNDKWMyRimtoFDAHPgn2/RILnxbvHFxHT+CoAy3rSl8rtTU++ug1b948sK6Vjz5+5HRaKb3zzW//UfKckSqs1Taz2hohGlUx2mN6C6CVGs2OsMyJFIWb2WgGESGlQEr2+fb2YMG1V753OFLWSi+dslSaQkqJF3eZ2joflzeU5Wz1pxCQnClSvaHZnptsgdWHBwQ/xffu/YrJ1cBK9J+Zc+YAZienj5Rmp75WFrP8ao0YhBwTZfjG+Wtnj3lRYu54ZsjFYUwFQkhWLuquGNSA9sq6rtTWOByFac6AbD7ZEAhzQGbzHH44NULtzKfK47nRNXCYIWtAe+N0KpwfT6gkWrTG/HNpPJwrXZUcIzkBvdMWpRdo2llKo3VYeuOxNapCEVhHvShliJEldF6HwCKBnsUsEBXKuVpgrw39X2/4SB64OUSW05GbORHvEpEDkgPNNz9FjILuxliN5n8r33RilM2NylSgxkQt6x5cnx2tQR+CJjsRWYtU8JqkuSZtm40arzbYku6Ho8ZCk2L/5opRY3J8ras5OKl2an+k9AWVRksLXdrGNAYsuPaYwY+GrTcWVUoMFAHNGT3Mxg4FkOCGQZMNcrE2y2AqeoXSu4uk+mVudnRRYBRiVDSapCl5W1LTla5nr6PazyhOOALaBKoPnwh9Y18kVtPMxE9f4njn4Dow6ABL7S3gtlbNTLyZd+kYIt5a88Z42TKFMcxcGO0ttqGNifRDdITi9drsTkn2RoR45eoxJu+EyKV/FggmWhr9e30UwMXJBNmcJvlhNofWfzjYYudwnZ9760saXKruJQ6M2jN18NBIvR1Y38YeYp8bXc3taFMDKybFx+lQpzztbRw2iN0F5dsb7/SvHxq7zTUtrh7O0TcCf4Chw+gKBaWLsjQTFPV+GfNlVohGY1lLgfUMmtjISS0bP+LBNUDypv8UoAe/t7xHfBWroapSOxQ6tbm9IbpNF8GVnNWHKrtj3PfZIHZVpFv7Ut++xnbP73hujFA56hvGp1oO4NmaXJWk/GP4+G61dYabkYmg7Pt1o1C7K3xt1TSgWm2W6iKg7TdfNshRYhsboXdPEIMr0wMaTKmsYTCIo0Q31u2l7rpV8FS254Nfpw1+H5/79rWtV1fULyRcvXR+jfaCbF++9jP+NHh3E4ngc/K8ftm02wzA3k1yPSVyDNxpYLrpHG5naj1zOr2x6xc7JeQUmZIp0IL30yFqJ5ZtJqHJtlOeSPkAWPtErXaaqEVptbCuioSZkBvt/Mjj00ptnZgzIZkdY/PeKSuFWT+qhmgtM12Zcmaep8vwcwk0lHNplKUxZyGH6HJw779CLh7KqlsfY1fr7xrFgSDWqJ1CIEWjmuVKdKCym0h8GVjWQu2B6vNZz+fK6dzMhKFhVnCbajDSivL0eCaIcMgZzZOtLRF6SmbQX5W2dOanwvfenDmvleNB+ODWBSVxQg6BtSq/eyqc6sq5VJ5Oq2WuyQabiyiRZm6tAXr26lFMzMmo6XQzk24OqMCKUb/LWunHyOIzj5sb7r+JjdqV0CFJJBM43M68/MpLXtzOlNhZQ9+EeefuAyokMppxRh22dihVabHTm7dVdLOK7P6x43lhc0or0hbbT1qkuauSxbQRJi8h2IZTQOmN6naXXcyy1gLL+OUFia7qjSsSk1PJJwIrSKOG1YJsD/Tu5S+8L1WEkBOxTUSU2BNRlRYDLdkUtWANNNjk2Li1FJUwnMGURZ3klrCNILW6b6NrQXQlomRtHKRSVUGqG0zYUaBvQdlemyDRaiGY86C1ksKoKcMzZq7iAUY9NW+9Ubu1AyBel0wJ0sSswnycqG1hOV9O7BKEu9tbwny8jK7zbC+lSKMTZmu5QWE6HJmPN6Dw+PjI6XQ2lfFSabVTikLIhHyg6ZnTuVBKZTrA5P2LQ1Q1gjkSiBFSTGhQch6j9IxA6SrQO2upnEpDVbg5mOOm+vB2kdGzVTdv4hSDiVaaKVWkm6Q8imxB1tTBF+n5ji8HaynEbk5KvSvnxewNe/eDWzPaKWcbSm4UaLFD9cFucmvjAo2BIoHHqtS1czxXXj2Zv/ZX7hOtTrbOYybME0VXvrueebUUlrVyOtvEmuwljygwT0KObs+WvcY/B+abmZgidx/ec/vBHR14rEb5npdCTbAs1vdYW6W3zlpWTk+mz0gSSZKYb2buX97z8v7AU1+p5UTDJuWcigXXKc12j4y1KtYbXnq3mSMjs3dzgN7sYLLjeWEWfhW6T3jpkT6Cq/geq5gPgOeuzdmU2hqLJywadNN1xujWsFRbOIJ7C49Zq2dTAchQHjeURNfMpk4eQtUY0SkRMbIl4uI5sZzYenS9t1Qbw2kJfK6TKAuWS2exRAftNB1jQIVAMYMXGjONKJ0ujSaWZ4+s15JqC6o2bs/7gHUM0tCrj2dUC1+ydZ/rGAMxZETVepKiZYKh2ok2Rqs1NZdOW8uNUGuh1Uy/yly7t7yoZ33Bg+6wW+yqnM4Lb948XgXXxrIsloVUO63HmFAXNG00b7CME1cKI+YWEoJRXxc2wmniIC4WVacX3KSiOzUi/ZK5jlmw/ZoCvnqtVLnamzZeZmtDYw+zXwYG9dmabCrhS4vBxQyhRx25GypGC4/pN0MZvBFQapMjq5rhfwpiAyNaRSRYrVQDFay2GQI9BHrw+leMSAp2RE9iH4LNxhSIcyLN5s8dc7CaE+ozVK1mFIOQol2LeNN9SjYmcei3xnoTcQ8WsU1PMYFI9I0t+r/Zc3ORiPbtMG20ub71mu0mEs+PwYQJl6Hntu14mPLEQp0eBqM87XuM4rV37WLWsy2O0SYDdOmb9avQrv6t+9euA5PnyHqx4h/U8NgnwfNpHQTyFaPHxcphlEaCKtEfaSOCnSHUboYo4mYaQZUYzaNe/JUxojs4C6y2v4er9TpKMW0MuXhGWjhtqix7oWI+MGUbTn7rEaq2xtPTibIWQgi0unBuq2e6HsC0oHUxeitGNyDv1jeqjRAiKRr12kphXSprqfzWb/53/vt3fofemgmYmhk6j7pqa8qL+3urbXlqH6Qz5Yk62QKTmEACVcJWS4sx+CajxCzEaPTX2hsqlRwFrZ2qwQrjwSJjWc6sy9lrq/ZmKZbBSrBTGL3Rm6n5Rm1kk4jrpVqy43nx+LCSc8alHlanx97fWhvrWgnBPFpD8HYBrSDQm1kY9g7nVSkaWHtgIbBq5KnAq5MZpLw+RR5PVm54lImzZB5VWXOmSaTH4hUEJR4y+TBZf/0krlAW8mRag3nO3N7MxBBswlTyXh5d0LISWueQBiEXrB2iQ3lMlJuJ3pRwxpTzvYHaMOlJlJtklqA6RFIihJgIIZoYpVbXUMBaA6EHejVqmN5pq81ELnVPXZ8bIXaiVMRNamx9mmMRYrNSUxCSR7UQOkiDoLS+0twOELmqfY49DFcIi25TlASgFeiWaGisjFAYhiOUVujV1UPtiv1w439RkoygB6EpQSFqJ/RGF6Fgh4HaTMMQnP00n2GhqrWlmYhhgbaCKrnbSFOViMZsdPA4K6gdElBzOotefjXNkO3V5/NKWSvlM4jz3r3m6nNYm8/dDTkRDjfW9DvZibpWmziznM9o79SyvjUTUwSi2Fi3EKxeFQfV0GwGZogQU7IsYW2sa+N0Xvnudz/iO9/5bR/0XOitk2LkZj5YkI6Zw+GIiFDc/ck0HpGUkr/CFlxVIcaKiPskD21INPGlNMhJmbr9u7no2AIZAqeyrqznBUHJKUKUbVrJln2P2bd6OQWNc934m+7R9dmxrDbGSlxG2fsoT7CtVXW631yc3O0FsIkbNvaqNGtVaBqoGqh0lg6n1Zy7zmthWVckRs4xcpbAArQUbQ4xio7Zr4eJeDNbS84EkiAkIc2BmIRpShyOk/kKey1KtUOvaC/geqaQXJQXhN4DhykwzZFelLa0zRPY3MaauTUFaAglBGoIRg/GsAn/FrXXq/dgNpHqhhZNvbHf/tz2muuzY4h4RKsnjLaeO8k8daUhXu4K4tPFxA77KpUu1nKyZZPO9lk0qvRQrCY7NCkKtlpGC9ZwPnIFHNhnbVub1sij/dy3CUAFM4wKI8iqbja6zYVyJrJrBIVJIp3gulKnj1WhVvu9Oiqq5sKWJdLF/CEQo6JF7bAQgtHfYA582szudj0XlnN55uAaBIlCSNF47pTc+Nj9c10hm1NE5pneKynYBjAMm8HqWNFdkLRVasNe0DFAOtoNLxI4nyoPp8rpvPL0tHBa6jbpZrxRoybQCRSn4FJKzHPeJpuEaGKjqmYjB53e7WRvtVajt2q18nfrpmwJHlzxGqvSjIlXe76DTra5s1aaTxgNXZq9gdciOORq+s4VGbLjeVFLJ7jsW50ebnagJYj1Jtte4wI7geTrPIVADpa5FrzeoYMrsUNYUUiKlT6SzRVWxTeMwXRAigKTNXsf58TNIbuNJ8RklHBO1lubQ9hqVtkNVVro3MyTzfXpQpuCPYeohOTMTJ/JslCWxht94tRWROB8XnmKQpyE6WCHQ8mBlEfmapZypVWmHKi92fzXZNfbg6uDQ0CmDD2Rwp65Pjdaq2bB2X3OqZrjXFd3JMIO97bluD9wsIBo7gPdWT7fp0LYbAGVTvPMM4qVzOwX6aYd8dSIgJAlEDT4nCm7L7p2cybDyhTdS36Wg+hWmhCF3k1815w16mL6FzsMQhWhejKmfoDclM6bot0p6OZOLeLtPlbgQ8T2+jCoYgUtnXK27HU9VZaTjZf8tHj34BohZbN6g4DMB8I8G7XZL3Mtb44H5Abz062WwdrMTOP2Y0pW5O6d5XymrqsNJ28V6epNxhlB+PjNwv96tfB0Xvnt333N7358IgS4OQbyFOhRIVUIYg4gqwXlb3z1A77+1Zd07dzdHXl6OrHWxpunlaU0O+iETu8WyLU3W4atwdmn2reV1Nt2ekesllycfkCVGH0zzpHkCmgNySg5VdJJsD1ptPnAW1Jwtki74xlRTo22Quuj/WWTYJBiJB+yMS+1oN36OnPKBDE7wSklG4yuzrj04VfaKQqP3X53TYF4nEACfcW9h0GCkgSmKIR5Iohwf3/k/u7ok56sHiQCMdiGkGNgEtPv3uTEcZ5RVY4pUOqBgBn6BxFijuQ5gcCbb1YeHipPDyv/3//Pd/gf5SNEhFcfP1LePPHhV2/56gcvyXNG72b63cxwMhOxTPW0rrTWOdfKQ1l9GkmluspzSokc0m5/+CWgLU8UotH6wNITRW1ikqhZevYQLKBGM8eW3BDppFjRwRgydCHWTWF+2YWiqwXXONls4q70tUPr5srpmUMmchgDATrYQIHO2itrK9QorMEMT0IQUrAeXGkXB6VSLBHTENBs901rZj8rQI523wQgR4hi1qLn0nx0oti5AaFL3UbKhRiIQ6MgCsFNK5yPrKfCw/fOlNJ48+bM6VSet+Y6xEchJECQGO0Dq1GO/tWUEilGtAk9NOiV0iywqOJ9qWJkQW+0YsEqtGbF9xYJ3Y4fy2nh6fHE01I4nVfOayVGYT5a9nDJXG2TNPFIJKbA8cY8hKvTbnGtnFebuoAGegz0YJZ06v2IvTer5WKnHnFXGnwkUu+dVsdQgZGVDvtGsZpCDBDcxvGKcr4OpNf2ESLseGb0Zifv0q7eB9hYjxwDTSxujqAbfQRbCoE03nNwdZq3Lzj1VJ0l0aGWFJuDuU2AwoVEQcjRmJzDHDkess+kHmIL9VYLp3yxzSyFYO1sKIHMFI0tyXEyzcKUmI4ZU/12jnPjYTrznZvZs3JlXUz9/KIeyDFyyBE5TISbgzX3e+tZbZ3JncjislB7owIlBC+rBA45MyUbY7bjedF7tUkwLqrrm3xnKF4r+DAJa/NU89kdPaHeC+t+TqgEmrehjbmmZh3YkTD2r4tuRHyQSxysnTkdM6bRNO2eP5sgVH3G9RhnOMwbUHNgKq0hGk3bErykONTNwfq9owhJXInX7PcXVaJal4YlfJfMVYIFXasrX55DwPu4q2WupXTK2VownzW4xjwR0kTr5i4jYmOqRLAbPYm7Gdl4N21KWwPaI6lHUsqbeEPVWh60Fuq62AtRrEg+5YnkJhA5B443GQLMcyKn6CO/LFNMEfJkp6B1bTw+LqDCmzcHHu4OIFDqgtCIQTnMkRCNBszZg+W6UM6r0delUkq5mJX3TgiRnGUbKixX0XDQydebK4P2EFNpxjimVnx/hmob9J65PjfmOdERqtupBa8BWR3GlIYiCpPVr45z5u5mJsbAYcoc5oneleNh5rysLEvj9rhYG8yy0h5PfvCz0VwxBG6OEZmN1jrmSBUhJ2GeIjEIN8eZm+PkhzEf6MylnGB9frauDnNmnjMAeUqbNWGKCZFATIGQLXM9EAjZpul8+JUbHh/ukNJIT2dsqru413YnR2E6JJtP7Cr7rso0W3CdDol8SJa51mYaCxHmPJFj4nT+9JZxO94PZJjVBHPlle5Hd1UTj1DR0L3tJVgy4dli0mqD2kae4iGxYDohExhZmA4Nswv08ol2taCFbXsJiKrWVtPNVKX3TqVRaTZ9LAqavMVsyBwS0J3eFQueoh3pNhWqe8lFxAR3Go321YQNDRChqq1PrRZfLHOFbczcdiO5wQ9mllJrpVXl8WHhdKreBQBWfPn0Wc+7B9f5SJyP1BKc1w7WfCvCPNmUmhSEwxTIUegVSkzWZE6kkk0EUlbKutporbqwnh6sveZsRv83NzfM00QKmWmK3N8fSFPkeJOZ5ugKykSeIlMS5llIEd68WXj16mNaVW4OieOcLLg5rZaicHeTrWWiN0pL9N55etN4WBpVK2VdeTottG7tFLUrOTaOR1MBRzeDsPdpyNkHxvAAq02MwGqDCLyC9wn1Utgy2h3PiZubiVLdrs/HFaYQCEHJSUnJbsCUbOu4vz3wtQ/vySlxe5i5OZoP8bkUSm0sS+N7H51ZlsrH/+s1v/PfvOlTIhCJMfHicOBuykiOcDdDjsxT4vaQrKfWh6mj5kvd+/A6tRt9OCGBHy6jDa0IQ3gkeKuZn9z9cz7CDTDfBL75R1/Y5vmwcPofSn1arZ2oVXq3YH97Y/6u2de7Mqb3CKV3PvQDSWvG8ghm8RlD4PG0fllv6R9e9IYQTVfieg/LHE2wZCPXBOMbPLhWC65ZlOyaFRNGWQYsaiMIW+9G8aLEaqScWGHXEg2F5A51uUPSbkYNrVFao6lStLJKo0el54BmC3YjoKuLsFSEirJqQzrE5gpo1NTKI7gmoQehJ/MVbjFQQ2TtpoQOavVZK6u4LgbvAcZFeIrpeR4KpXRefbzy5vXqzFJAJPHsDk0ymu64iHQEo4ytrcam16QgtCBocEWXGOnQEVp1GY8rabvfpIOSvZ6sYUIhiCn4PNfgivBhlegpv+CtNc3ruyvLupBiIHufHyLEkIyO6AGVSO9eD2UMMvf+RR/n1botut7V3ljn9Iad4xjkfgmxbwfPq0T26isX1bEge2z9EpCSuWWFaAForDPvNiBGwL9uIrzINGWmbEK5ebLbSaIw9U6MlXU1Md/5IZtYzwVrw2ItpYhMCZkS8TAhU2SeIjfHbArhaPcOKK02d7sJW6PrZkMI24Ft1JOsPspo47uabqPb/ZGSkOfIfEhIaZzDZeGNCTci+IFQts+qw3rARnyh0e61Zm06o04dJVB3tfCz43pvGYesjVwTRa/KZgz1rhvshqBEGb2mztZgqt2h3g2+x4lTrtZWO4KrTUULIzn0gDvM9XUI/eTqYr1yYOYX+C1iFz1sGv1owNb7urGC2+00XB4t0IoF3LHZvt07O/Zcy4SGlWdrZhRUS7ch7c0MKSQIZr7x6d+Dd+9znY+kPBF6RzvkLORsVPBxSsxTJKAkjN4NNGIUgtuoic+1rMvC06tXrOvK6fGJ5bQgIsRoLTNxyhaU/UUMAjnAy7uJH/vqLaDEZD1ZCePLq1hN6sVtduemM//zt3+HEILR1CkwTZmXL+85zDPVCH46bjWnzWgIN8BW3jaX8KUHPtdwvF82ds96saT4uKZaQKxXsg+PYc8wIm5e4fRyHM1XO54V9y+PJjibjb0wwxBTlR8PEznn7VAkItweD7x4MZNiJAUgmHBnOtgameZEzsHcnc5nfidHs5Vryno26vT+mLn58A5yQG8TmgJRFMTKEJHgh1A1Dg4zHO8y7ADU2uDg0l4AUNtWbqn9Yn1YfJB5jIGUAnXthEm5+2DipJWHpKg0Sis8Pp1p2jjWiriBRQtuv6hW81JAPZADRBXy6KoV6xXPz/km7gDYTHJEQMVmoGZfMy1Ak1HKMqZNuhJat7HEEeYwzHNsLTcAUZoIUcHaeJRcldirZa61QzMKOAbxOqvbqQiW9bm/b47ik3KC97aa211yxla9XTuCzb+2Z+X3gqmQR302RXFxKBRtlG7TodZgCv3gB2RxUUOQi+Vj926Q87lSm/L0WHj9ulBrZy0g7q0QUzYt0Wfo2X7n4JqnmTjNSC2EoKQcOMwmxriZE4ccQRt9rWiz8UNWJLJpCqKCNKUtZ55evWJZC+cHC64pJabbI3lKpJzR4DJsd9FIET64m9F+R2uNtSybUElLp2Iqspd3mVYbrx+f+O5HH4MIhykzpcT97ZGXtwcONxNFrQG6iY0oCpuzh1txKa6+lC244m/1tgpVzeRaofp4sE0AIGLqaBdKWSD1jdN/lYD3xO7B9bnx8gOLivNtdnP9BtoIMXBzPDBPrrp1p6/DlLm9OVifYKt0t0Kc50jKATRwfzejPfD06oEpJ7Q0elWWU7V+7OPEV756S09CPQg9Cq2utHVxo/7oNLIioVk4Fagy6mXQ1Mz426DUwAdn2Mzh87rYvOTWWKuNB5unyJytPBMmuPtggroSUkelslbh8SlQe+Vla5s7lNnH2QG0uod2jIk0ZavJDq9tf01FldR3Gua5YZ7nF3+kJMoUvC8/WMDdhHceXKN2osLUA7OLUgcL2MQ0CE0sAEY1JySpCt5Lu1m8KqQ4hFHiVKpnHk7JZoQkFlybhI0JiZ4B93HhWNfFlLxtzTPMoTWwwGczlEFZ1ebDFoFVoLogOkQL2kEgjfKI+jpujcdTMX3OQ+X1m9X2bhISsxkbTZN1tDxncMV9KiWI++baKcJOEn621q3ajb0cPjWkD8rW/EvXtfjAdMW7it1O0euTTiv0fuUNrJZhqKidnrQ7vXwRFEWnogF3oTF6ugK1Vt8YL7/Px55cnqJvFWNyzgiu1wFWtz9dJujAoELcIlHFemx9gYzFc6FrLkzHHlqfHyHY6Ljs02HG2xJDYJoiU44bm2KtVsFVvHi/s092CmzUsdEsOFszzl82Gap6qWH819Wn0uhFCdmcggPdaLWmlnk01NcUDBbFyhJQmyngLcD2bebl9nt7sL5tp7yM8rWNatMDODVn19Z9kesm2Nsm6AzlqLoK8+qg+PYfdjwbBhXqS1BkM5GzXs5Bk46NSK1mIHD5s2Dro/vPO3XbVXD5KpetVrcBMmLftJW/xvs/1o1eJxP+WNv3uIBgJCBv6VHG/XO9235ibY013sVcA/t4Phs1vf2VhnX81qrUopRifx4DJ8KWM8lWXvksa/k9jJwTVyRGuihTDhyyUVuxF3St5kZUzmivdgqPNgOzlJXHx4WyVj763sf87u9+ZMGHSD4cmHLi5nBkmpKdxmtBtXBeK09LodbGcnqins82iWZd0WrDgW1UqjlzRPezMmN929xKqWjrLFF4fPNAwnoNa/c3qDa0i1XLfYSdTWiwk3mMkewnJhE7UXWUGCJ5Snb66pVSmw2vLs3tHu1k1dSGzG9r76ooMkZ17Xhe5NhJk5ULVCDHTE7WIjblTErRJ3CMaUhWe4cOwWwxR5tNmsTu7GDrKKZGTKY4LqXw+s0TVRuvHx+YniZaFJYqtCjbAU+wUXBp7H3NerCbKksrNHUfYy9ehZCIIfoJv195/G4+YgSJJgTxLCAAMUVCCBxuMi9eHsmqHKbIdEzkbHYCp3Ul9ECIikRTaxY/kEYP3CKC5gnJfj3bsXTHc8MCwhiCIkzRAkXHqNbqdG2ozRyM1KwGrXYat9aYUZ8MQZiiJSlRLcN02x7PQwQdxkGAVvcXDkJPJr5rtVJqYRN5CmgzG9Ee7FA4gmt3N7QOPjrWUo5NxKTd93IwibA97lo751ZoAmswAZbUTiguaOqBqJYFn0qz718arz8yAeKyKuUcbDLaHDbbWtnaO59R0KT+Rg4hRY6BOQXLWktFmxlGaFvNSDnoFlxraZwfn1iWlTev3/Dxqzcows3tPdM8k6bEPE/MU6LUxnmxpvV1WTk/2cDq9Xymrotls6WYA4cAaWSXagKMkSF6TbRVswBbF+F8OjEFr2FJ9EA+RovZx3CcGq0IQ9hhtVLxYGgG6Slle4y1UZtlD+tqDchdR8bBJtLaTLE9uF4rQHc8H6IoU8K8Ukdri09GiiH6Gg+EaBOQeu90Hw5hg9YbEJBodp0ETEEp3Vt57NBXWuXp1CEqT+cTT+cTNQknDbTofbPOjFSU6KMRe7WAWVvlXFaau++M2z2GRIzRe6+dHRHPojfB4fDOYTPbz0FIMTDNiZu7mdA6U7KWt5hN5LWUQlRziY1iDEytdctebSyZtaalFF28BXva+mXBGMLhJBe5BNeg3diQbjaZ4lTuZXSpeDnLkwucHnbF0LAlVDwRAFALrjboolO6uzXFjga3Luw2sAK4DIDo0F0V3FSdhblklyrQk6vdt0zkKv0c34xpVmrrrMUm35RgpRKpHWnmQ1yJ9jgK66lzWjvnc+fxTWNZOrUptbiWZrLypp2iB9X46Tfmdw+uTtOaV66iPaDdb+BtZE/fXgz1N1WBWotNsFlWn0hiwoicM4fDbK0888SUTRlpZhC4QtiMq4ZauAvQo6uQL5QeujnRGT8fA9LFMmvfeIZCzBql7VLX2ilNbY7nxlr4YnXaO/jn1gctqJfFBoyrGArgQWEMWtiyDg+kVxc8VMk7nhc5J6YUbVCziKvKw3Z4vJ7KBGxCDRiU8lDojtb7wUq4cn4yB7GcIylHYkoQLHht7JderRf/OyKudLRaZpBIDAkIXn8a2UUkignrutu5mXLYp+EoJB1r0t2eEJIkGzsXEykn8pSZcuRwSObFOk1+uAibiMQEJbbZBBcmBt+M1VWHTvCh+1J+doyscuCq8mRshf99sMIXSne8d+OzU7m9I03No3iUBgDVgNpkB7oPKx/9rsPScwSm3kY5zAe9wDb0vDv71wZLg8UWFR9j6HRw8+w19ss9MjLervYYramNlVOnopsSuv29oqzO6qylm0FE9elmF8G0vTb+WJfZt+a29mnxzsF1rTYppC4LaKd50RuBSCFQN3/hPijZvtJVeHx45Hvf+4hlKZzPBUmZnDIvPnjJBx++JKfA3U1mSoH1fCZGa1IPfpqvtUOtiAf2mpMHpkYpxaixZv7NrVvb0GGeUFUzTBIlhsDJKeYugSIJRVjOhdPJB6pXrAnbN1DxutSUbTNdVqN6bZpOIm00iZhwC4jJ3aiaDZGuXbfJDu1qcYBlFH0fgvns+ODmhvkQqNikm8OcmKfkdR7fbBTzVfV7zLRnQsrJPLYlICGhPhNSvA1mOmTuXsykKNzOE7fzxHxMhDzRx+ArtU0tqAdpD6eiY8B1IHqbRJTZBU9s68YOfMMNyZv8PSu1zMMmoti/2lgxFCLRhHrHyHp3JpO4u5n54OWtWXh+eCAdDn7IcE2AKDH4mvWMHgHpkV5MLdx8VOR6fr73cIehejAJGznvdUcgE0w5LC6G6zY1Kbj5vRK8r9XYtTD6SqtPQZVAl9EKFuhqRkC9u2+TqrewNDN3aLa+q3Yv+2ERUSywrs2c+ZpC2eqhvrbEqNzh9d58FN4kkSlms1lsQnHHpmVtnNdmq3vUZ7vFHhSaFhbttK48PDbOi83/Xlal1HEocXMKaYzmH8/56TxjcN0GjzcbzNurOWL0AFGaK8VGCj94dKtvruvC09OJZSnU1hCJhJQ4HA/c3N6QU+B4GFlqp66RKkrLgeYDpKdklm+q6hudUoqYanicgvzFHbVhsODqSah5u7ZOI1DEPHDWtbFUEx/ZhAa383L1nIm2Rl+hZe/N3+CRiRoV7bWLwczJqKmaJ/H4GFOCxhzRsWHueD4cpsw0CdFFF1MyleIIqorX1vVaUsGWmUpIzlDYEIutvxAzeJjmhLbONE/keSbN5qdtd4gtjrEVBoaVYtis5Mb6CXqxDbVEwNaK9Xi/LfIIwYwoYrAm+BAmQGhqw9Mta7FfPKXGNE0wK4ebI3f3t6YfOPrEAPkEyev3j611+4JosDoaVk9Dlb5bCz87rlnTgfHeWQV0ZKdcy4O2j/GzQ0SHmvLcxEhu3bk12nidX69Ed61vWW8XG3betG/Ba/S5NmzQRVPZgusonTW/mkQnumnFsF3UUQt1pfHYT2u1pEX1aiD6FaPbulHWvcGyWo3VfsaC+3gZxoxb3ZTO/vfPQMO8B0GTX41Hj8F7x66IVKtF6TUVapnapmRslh3GGDkeE9M0MR9mpnkipUCaAikJvTdSNl/UnDs5NyR0DofJe0o77bRSaqPUyrLYNIPSLLD2Tyy2QZdFEeYUSSFgvtM2FUe50L1GgQW/xhum47QZZJjzUqVpoHXdPFrRjVSxzTJYHhJcUXlRYV7VF7bXku+/M3Z84ZinA/MUqGq3xZTNjF/kstnYkIbmhyFjLASvxfv4rTkfSCnb170t5WY+c5xmYgvcv3jJhy9eMB0yL79yx82HR7ooJXSabCdCYFBfdnMnp2bHQGhVp6mvoqmMTWGQW2obiTaIMRPD7EKXsX1BFMtcZY5MxxO0wHy84XB7R5oSHCLMvlU4racIWe1aCFtpbjtMoNCxtrMY3grJO54Bozw1SloNNgW8iA299yMZttu5FFYF7Wa+ICqMueHqLWCoGtOilzrp6IgYB0/UdCioZ6TVmI5xPdthzGsm4SqguzGUjSx0G13Vy/ryJ4AQjCWUgPie3boPxujbLx8Xv/3smMDTA6g7n0k0i0baUDP7D2Wxxw0gW0H60+/L7ye4ithIIqzVZS2FQKdSiVrfUq617oGwK6VU1rVS1s50OHJ/fyTPE/cv7ri9vyVGMy6PXjNq60otxXj/5mrHnJiPM8tSOJ0WEzsthYfHM2tpKOa6ZKcbO+UbXWcm+lOK3N0emHPkae2sT9WERwilWb0oBVMFT/PEV77yVe4/uPPgZyT9aSnk+WzPqzZqNU/WrXIRQLxPy+Tw3Yv/nrHq1VvmC072DenZcX98weGYaGrGHymZWvYS4kzEtJZC751lWXiqJ1SV+XDgMB/8AHbLNM3GdIhls4/3nQ/vPmJNhR/71h/lx7/1baZj5v4btxw/mGm9ci4nWq+sy8rp9GQlCQ9mQQKHeSanjF5lHSGajaLdW81/xhki7bTaOT0ttNqZ5wPzdG9ZbFSzhRMhx0yMiUmeKC8653Ti7uUd91/9wDLXKUI2oV9v6kKoQAgTY4DF+OjuR2yiwUpvnZKXL/Nt/UOJjtC6IM0CQ8NYNWspka3UISEwbI1kq50GWovWuoKZ/SDWxYH0t3qraze6V9WcPdWDY1DjYFrHapxgkXOkEC74s2JFuiqJWIJGqzbrGxMHymZWbNR1ksycDkSJtLVRaqd0m6VcmvfM4jVkudh+VoHiT7kfhDABHaapew+t2hxnfDxjspRXRsnuOWnhgc36D1chYkbLw8Q/RHvCgxK1uuKlXWAImazlwYasxxgIyTKCEKNtJL3Zv6WItE7TaFmmC4BaM4q3VitWSxCIbuwAGwcylI0h+sSTnEi9EWL3vq5Bkfj3BxOMTNPE8XBEtZvPq5od4pQbITTWrlTd/ES2k9f4fbIpN7fc4qqXS77v/zueD8lr/lGtnSsOr16naEdwRcXWWWiMKZUpJKZo/rtTmpjzbKdrv8WnZCb2miwQH+/vmQ+Z4+0tx5uZ2go2IrGgXViXAj4z04RJgRAyMU5byQHcwSxPAIRmPeNGxZkiVFtFtfrBMiLYPNbog6FDEFKaSDFRcyNNE6n458kU++SAJAuuFRN4iERinBDx7nzpTts1++gmRtEwhnDveF74XuyZa3eWbOw8JkKyzXD0s26Z66CFN2Ge+1jbaJnBsDoT6VoaLn+2OGgUxiBhRvuXXZr9OfRxpaMQgukLVE3h5AyiX7TLiwc74sp9CTR3mbLrMWHVdaJrWbLtpx3LXhVsVnHA1dJC7H5/uyBPYrdsSL0Oa8XiT/0OvHNwLeezDYm2uUU+rChsJxlxeiuUgoiwFnPDKK3z9HimVS+8x0ieJ/JsG9RFeRmNW4+ZMNksv6SBgwZabZTHE70VWqmcTytPjwtL7ZRmA4K1XcRBtRkLP4wAck7M08TN7Q03h4n5Vrh5aTMQX71+4qPbRzMiXwtaCuEwMR2OzPMIrgXVTlUhlQYh0BqEZuq6EZRVO63qZTHq8HgVz/rxRXMJqDsr/Px4+eJDjsfJhDjYnOKU7RYZKtk+5rlqZ1lWbo4ntCuH45HD8eB9zhMp+XCK0ulNzeptlEFE0Bxhykw3NxzvbumtknKmtUpOZ4JMflBs9OpjG2NiM23xjxgTKVq5JIRODJY11tpovVtGmiFII8ZE7w1QO6g6lZ1SJqXMNHeOdy8IaSYfD2iY6C52ErFDxpR96/RgLxLo2mi9WD+tDj/Wa5edHc8P25Obt6lUr4mKmG/SoFMT+UoLMkwkXAGsgmrGRtN1C1jjEBUsg12bstQVEBN96uh3zZZ1emXW6FZbH/ZrwoWlc4eGSCBLciVzJDDGJ9qHkcwXk6BaGz0oRbuVVICQJjIRUSV4t0rXbhagKH046QVMgIhs/tnazW40+cFja5Fk9ABbh8mnxTsH1+X0RIqRkCaQSNdIJSE0erPePFQRLwKcl5VXrx5ZS+XhaaW4MXJImfkwk+eJlLO54ITgQwECIWXidERiYwqZECdarZzOK700ylp5ejrz5s0TVYWlRZoG3wzthb30BJhh+jRNHI4z9/d33N0ciXkmH24hRL778SO//d3XrKXy+uPXPLx5JM4T0/GO482tCZja6sE1kFabeFIbxGbUWNCAaqS35s5MRis0tw4bgf5Sk5Xt+vpuGffs+MoHX+N4c9iM5tOU3U9Y/Ma2m7p3u2lLKSyLDY0+zAfm2QaKD1eXUhpPD2eKVnB2pdVmbQVTRObMfHfH3cuX9NY5LLf01jjPZ3J63FTvtVQ2M4g+2mucHkuJlEwD0DvWT987QkVqQ1KjT4EUOyLmDNV7sx7WGLfMN+cJCNy8VPKxMOVEj4kmwTMEM87IeSJGn90cjDIsdWEpfeu4a6N25ZnHVWPcjmeDC4Q8ayxqs4QFqN3McBIBYSJJQKVjlgtQVWwijQqtT7SeCNJ9FnVDQzclrSiLNp6KT0Hy3yXqYiNA6AStJkW60hJsDvvgjj+BGDISPYGiUCW5esC8lMyXuNi92JW1VpBgnRfSrU6cDkwhGOtTV1Mst5W1LhYDrvrYQwhoCNCVFu2+SRJIWzbfUHVNhZpTWpVPv5bfObhajcdrQ64AG5RB69Z35H+Bbs5IZbX5qK22LUPbaFqf5DGmJ9gUkGETdyX68ZvWCtmWHYwep85Qd15UnoOatUBmj2M2b/GyySQzrZAQmedif5ZAym7avE3/8YzzknJutAOwFcUvJXBbqG9/7YK3fWwGFb1vSM+Pyw1vIjw75Fz3KeumxLBsLkRz45IQnSLFBT9stU91gcUobYRoKmGJRrcNLcBF4TmacK6EJpiAqaudolW3h/I6EZtjzfZZAR0zh8evsXGQYdNBXE36ECu/xAQSw9V6D5v6edx7pmR2QZXx1FfX0rdSh14v+h3PB9//hojI6qT27lkodKUtweuq+AC2K9oXsWHrW8+2rYXrfd59mDxjte8anwdkZKgqnuSMIDGGUgzVkB3idBRUxPXBbm9r2eT4faOjwvTD3QVTxuBEuwfcMEVl3D8XWyDGJW4fl989WCrvx0FQohpx3T9D6vruNddW6NX6Vi3gmPMR2ihL9XmsnXJejLpdVl6/emAtlUZE8VpqMpo2RaGVleWEvyBeO2iNtq5o76xLoSwLtVReP5x4/bDwdFpZKjSNvhiMxgoBsr+4OUc/sQdubw4cDxOHg9WWQp4IKRNCsuA6zdzd3LKmynIqLOdKTpG1dN48nu2N8JlKpamrlBvntXBaVpev60YlrtUK5rXp5hDStyBsNeGLKcFbS2DHM+F3f/e7zLPNdDXR47jpNwaLGIScbdaqBRKLHDFWUlywm97pqKaUtdrBTyIffv2btNr54Gtf4/bFS1KOvH7zyOPp0dSRpaC9U0tlWcx1rFWvowK+UszBKY1WhJXF13erfWtDGOr8EIQpR0KKdpBMEyJCnka2KpSilLL6c7HAn3JmmmfrL+yFWgsiNlA7eAtaikYLt7bQ6mKuTetCWc8MAwsQWt2HpT83mh90iprvQAXKFuCERqCpBbNERLS714MpwbdxcMHGGwbv2beEU81sn04P0YY6YNKk4QA2WgmNnbNfZYHLD4syGeUcIqQDSISQIBpTFDUQ1FyrqxY7GMjFUlO1s9TVFMsCVS4EspCtfBI7qoFAI3RXBov5G6j/DvWTR3IT/4ww4d7LdCTYHj5Fm0teIp8a7x5ce0VboW3BtVulujeWpbKerR769OaRsiycl8Kb1w+U2ojzgXS8Ac8iUzYRU2uV5eSevG4ZaEZPdiRfzgvn05lSKm8eF948rZzOxZuA3aWJYdvlo+1EOBwmjsdMjMFqrLO1/qScLbCmjMRkwqU8cXtUcqo8Pp6ZpoUQhLU2Hp4WYhTyZJZ4xc0gSu0sfoDY3HGwInkZCumtF3a04VxJv7ENO4yMeMez4rvf/YgpJ5ZiwbV4zxzga9to2Jvbo5lGuGnDUCTaTe9Dzb1FZ8vqSHzwla+BBF585avc3L9AtfP6zfd4enpjN35toOqCvPqW6ldgG7wU3K91jCkcmeK6WnkEfN2LMM+Jm/mGeYrutpTMDjFkJGS6KmWprNWtGyXZsIw0M81Ho7eXR0pdwLOIgBJChKkTQ6C1ldaK2dvVlbIuHtgtCPe2B9fnxtDlFi7mDMX7pVWDBVcfCtcGlauXn+3Y+E6ruFtwFZ/g1Xz0XMe9sJPVZy2w+nrvVpNVuXIx21oQA0oGmdGY0HSwwBoixLiJB+1au9l+Nt0CnWBs5arVJkRFqGL95UEEUe83D2b8IBSkmfRQgrhly9C/CEFtIpDgo/mcN4rSCcGEf7NP5lmfs+aKWP2wDbFQsJdON0XwoGv75rM7+lzlStRj25AXqouNjWtdOS+V5gVKZwZYlmJ9rKWxuPlyqW6dxfARdkLtyuwh50RKFlxjSkSn5xjlcu+97f0ysqu3a4rLn4t7ZYZuBu9mBHH5/jH5ZltMffTaDtVy8E3S1pNRfBcqIoR4pSDe8Vy4Yvy9nKBXAxQ8fZVGKfWtkzlcKFFU0W6uZDEEppS203rKExICKSZCCJsTV61mwKLF1OeWsY51p17S8OOie1nbQ8n2PYMEFFdiaq+WoVSl1kKQjmWl0Htw9agdYM9rYa3tSgFsvtmtma9yV5sjO8Qh6lt3a4L2QOuV3hvqh4DobXkhmprTjFt2PCdG+WxT28KoOWy0b8eckES7CZa8x9qEur4fu9WhtQ/6O7/NE2akozhTy+Diuu/Em00iY6/3/VaMtbQRUhENxsQwBgaM+89pXd1uTisTWgwfK1Euz1kv2flW7cCExl0twAe5sFEbDR7c9l7c9xjd/I/Hx/hdnxbvHlzTTNXAm9NKV+WQoE9i9dW1UUrbguCyWiBcO1S1zvPo6uJx4doajw+PnM9nlrXx8cOZZa2EEDdVZCn2e1vtvHmz8PjYWEvnXIVK3AIUIkxT5ni0/sP5kJkP2Ta9HMnJaq2dSKlQWmcpZxThdF55eFpt8s5aqD7BZhGrFccUaNgg7fNSOJ1WSqmczyvLad3ai8yAQKk61MKBECdiUHAmBOUy3BhBYtimQ+x4PhyOiSlnJFqNv5+r9SyrHfQU87cu5QkElmXl6XSyskcplGJZYw5CDHA8HPj6V7/C4XAgxIn7+ztiShyPN26w3ynryunhkd4KZTmZ0xmXm/iiQzAqeDiFaQ+bjmAEM8mdKFaGOJ8Xaim0EtD2aD3d88zheEQk8PBYeHxa3WO1UlsnpcTheCSlxO3tEfpCShF0BS1OoxW0N1f+23VZecM20ZyEFM0qMefkmob31vG341OihWD7SLQEQLolPXiZzZq8GicWX1ONEKsFV082LJOrptuVDqERaXTp1OF/NFlZD4XWKqZitcHrGxs3OJwwIUxABDkCExoj5AzRxUXur9kadmCj0wKoWsuXjqEZdJo2HxphTlEyEhfXG4sfQhOCBmslC9GGW/g3YIdXv9+1k+yq7JC4DVkXbw/qF0HWp8C7r/qQaCqcV7tBZQ6kEBD3/m3Ve06rUaOlKVWtUB4QfyNd3u9KzPPTiYc3j5yWwv/6nn2OKZOnGZFIa0qpllU8PlVO506tSuniJ66LGmzKk21myYPrbAOvLbC6YoxgeivttL6iCqdz4bzY5J1SK91HgNUCGjpNAySjFNZSLeCvJtYa6k4JY2CxYA0QluUTzNIuBSF6f1kINs5sKEH3kXPPD6vJm4lEa0oM9q4BVz19am0nXXl8fOLjj19Ra+V8XjifF4IIh8kGANzf3XJ/c2cmDSlwOBxJOZOnyelkaKWafqCuLE8PtFa4njJlauDoamATTSkmtlK3fzMTfyDandSqQl+p5UyrQmvG3MzlYL2OInz88RMfffTkanpTs+ec3fIwI1SOh0jOkRg6IRhZ2Nrq/d1GOW49wNsBIJFS2vrWY4zGPO14VjTfe65TrkHPjvzVjCW85CBGFCOXLNMywEanupe0Bbtu3lv2y6LVYkXVDRaaZ7/NaWbvkxUwHW607FUm+4gBTcnTwwBxONepeXhjbacaPGsVr/v6f4NH8TSaTWw4HPhdiGQuYWYDGkN0keLF1KKJda1EVbJest04jKucQfos5brPHVwHbfn0dAYJnE7mUCQ9+EennBbqeaWWymkprEthLZVlLTa5IBRIK60rT6eFx6czvTeeTgun88ppKZzXwrIWYlOaBkSquTxV2+jsd5rxfqk2P1XEC9khEIv9e+h9m84QRGg9bkbnIbZt02qutFyWyrJa5rqWQinFMutgczyjRss8Y7B/r5VazSN59PmJKn2IOrAG5wbeiuMLwT/rVp+Qt+jInR7+4rGt5dNCqWb+3ZrydC6cznbYqsNCs6s7IamvzUprlbVY3dKsMq3mNK2V07ISU6ZKgnQm1kZ6mkhzoqwrj6czT+eVVleWc6H1cqXmFVJSYmpu9hB9cxBS8kk9IZDTMFAxq8NWG09n+33ImNcqVA30sCAiPJ1XTovde62as1PtSsyZ0pWYEofj2XQQI7hqp9VLcIUfFFwbKVbrn82NGCOPT8tbr/OOLw7jNV7XtulBTK6i3vMKgwwdZTbvu7DgyghcQzlciYjXYCtB+hZebQ1Ym5moIsXaEaXZn22YjEcqL9MFp5q7zz7WGOiiI0W8BNdaaL16axfm/CSVHhsijZXGOjLX4HsnAW2V1gtoxVppKkpzY59Oj1Ynfju49q29bgjBRubaIk6NW8a/lk+/L4t+zhX/3/7bf+PHf/zHP8+P7vgM+K3f+i2+/e1vf9mX8SONfS0/D/a1/MVjX8vPg0+zlj93cO29853vfIf7+3uunYV2vB+oKm/evOFb3/rW1RixHV8E9rX8xWJfy8+HfS1/sfgsa/lzB9cdO3bs2LFjxw/GfozcsWPHjh073jP24Lpjx44dO3a8Z+zBdceOHTt27HjP2IPrjh07duzY8Z6xB9cdO3bs2LHjPWMPrjt27NixY8d7xh5cd+zYsWPHjveMPbju2LFjx44d7xk/8sH1H/2jf8RP/dRP8eLFC168eMFP//RP82/+zb/5si9rx47PjD/+x/+4+fh+4uPnf/7nv+xL27Hjc+MXfuEXEBH+3t/7e1/2pbxX/MjPgvr2t7/NL/zCL/CTP/mTqCr/9J/+U/7aX/tr/Of//J/5c3/uz33Zl7djx6fGr/3ar9Fa2/7+X//rf+Vnf/Zn+Rt/4298iVe1Y8fnx6/92q/xi7/4i/zUT/3Ul30p7x0/8pnrX/2rf5W//Jf/Mj/5kz/Jn/pTf4p/+A//IXd3d/zH//gfv+xL27HjM+HrX/86P/ZjP7Z9/Ot//a/5iZ/4Cf7CX/gLX/al7djxmfHw8MDf/Jt/k3/8j/8xH3744Zd9Oe8dP/LB9RqtNX75l3+Zx8dHfvqnf/rLvpwdOz431nXln/2zf8bP/dzP7QbtO/5A4ud//uf5K3/lr/AzP/MzX/alfCH4kaeFAX7913+dn/7pn+Z8PnN3d8e/+lf/ij/7Z//sl31ZO3Z8bvzKr/wKH3/8Mf/n//l/ftmXsmPHZ8Yv//Iv85/+03/i137t177sS/nC8IciuP7pP/2n+S//5b/w6tUr/sW/+Bf87b/9t/kP/+E/7AF2xx9Y/JN/8k/4S3/pL/Gtb33ry76UHTs+E37rt36Lv/t3/y7/9t/+Ww6Hw5d9OV8Y/lCOnPuZn/kZfuInfoJf/MVf/LIvZceOz4zf+I3f4E/+yT/Jv/yX/5K/9tf+2pd9OTt2fCb8yq/8Cn/9r/91Yozb11priAghBJZleevf/qDiD0Xm+kn03lmW5cu+jB07Phd+6Zd+iW984xv8lb/yV77sS9mx4zPjL/7Fv8iv//qvv/W1v/N3/g5/5s/8Gf7+3//7PxKBFf4QBNd/8A/+AX/pL/0l/tgf+2O8efOGf/7P/zn//t//e371V3/1y760HTs+M3rv/NIv/RJ/+2//bVL6kb99d/wI4v7+nj//5//8W1+7vb3lq1/96vd9/Q8yfuTvzt/5nd/hb/2tv8X/+B//g5cvX/JTP/VT/Oqv/io/+7M/+2Vf2o4dnxn/7t/9O37zN3+Tn/u5n/uyL2XHjh2/B/5Q1lx37NixY8eOLxJ/qPpcd+zYsWPHjufAHlx37NixY8eO94w9uO7YsWPHjh3vGXtw3bFjx44dO94z9uC6Y8eOHTt2vGfswXXHjh07dux4z9iD644dO3bs2PGesQfXHTt27Nix4z1jD647duzYsWPHe8YeXHfs2LFjx473jD247tixY8eOHe8Ze3DdsWPHjh073jP24Lpjx44dO3a8Z+zBdceOHTt27HjP2IPrjh07duzY8Z6xB9cdO3bs2LHjPWMPrjt27NixY8d7xh5cd+zYsWPHjveMPbju2LFjx44d7xl7cN2xY8eOHTveM/bgumPHjh07drxn7MF1x44dO3bseM/Yg+uOHTt27NjxnrEH1x07duzYseM9Yw+uO3bs2LFjx3vGHlx37NixY8eO94w9uO7YsWPHjh3vGXtw3bFjx44dO94z9uC6Y8eOHTt2vGfswXXHjh07dux4z0if9wd773znO9/h/v4eEXmf17QDUFXevHnDt771LULYz0BfJPa1/MViX8vPh30tf7H4LGv5cwfX73znO/z4j//45/3xHZ8Sv/Vbv8W3v/3tL/syfqSxr+Xnwb6Wv3jsa/l58GnW8ucOrvf39wD8/37jN7i7v6erokAHup+YdPtu+zcEamucS6H2zsPjEx+9eqDUynJeOC+FWiqvX7/i9PhIKSuPr1+xrgXpnaAKqvTW6b0BSmuN1hVVpbeGdgWUrgoK2hvq36vaQe2qVC9XJyIIEIIQQkRC4Ctf+Qrf+MbXmaaJu5cvuL27I+XM8eaWPB+Y5wMvPviQeZ7t50UQhBAgCv5adBpK6Z2HtbD2TlOhaKQjhBAIISAIhwCTX0cCnt685v/6k39ie513fHEYr/Ff/7//v8nzDdcrF37Y6V/f/ptevjuIfSBKiA0RpanQerDvU0G7AMLvv+RCUf3ff9dnQVme+JX/1/9tX8vPgPEa/z9/7v/CPEXbBxFEEiHkt9ZnrSvnp9fUWgBQX+sSs30IhCiEIIhEJGUkRARBJCCAtoa2bj8tCqJIiISUkRBYauRpSZQOH716zccfP9Ba5fz4wLqeCCKkZI/xzR/7Bn/iT/wf3Nzc8GM/9k2++c0fI4TIuAft+sQ+y9Xfe0fp0DtaV2jVXgztAHRVWrfPT+czp9MZAeZ5IqVITpmbuxtSSigRDdF+XGR7TegWOx6fzvzVv/X/+FRr+XMH10E5vHz5kvsXL7CXFxpK47L1jM/ifyq1Mi1naqvUWgjSEW3UWliXE601hE6eAiEk9PbIPCV6a/RS7YXsivZkAbV3mj/x3ju997eu077fg2vv2wv+ez0vEaHWyqtXr4kx8ng+Mb36mDRNfPCVr3Nze8fdvfBBnsk3d4h4kBQhRiEGe20qjU4nqUJr1K4oQhdbMFkCOQSCCAeBQ7BllBQep/jW67zji8N4jfN8Sz7cYqvWNqUfDn3rn/3chwBTUFJQYlTmuRGCUlpkqYmmQi1QigfiwBZgdTzmJx/2PQe7/x30fUdXx76Wv3iM1/gwZeY50v2tDJIRSYgIKQRCEFqNBF1oVWwv1QYipJxIeQagtErTTghKSsGCqwhBjBLtonRRBNv3bD0HQrKFfXo689F3nzivjd/53ht+96MHWuv0sqCtkHPk9m5iypEQA3d3t9zd3XF3e8PtcX6LelUEHTIhCRCS3am90VtHe6cX6NUPCWo/0VSp3eJDKYE12OuUojClyDRFbuaJacqoBLoE7D4MFmg9SaP37d74NGv5cwfX7QmrZY0W5S/bElgWe/XKMLLHro3eG90DrH2slLJaEO11OymMk5b9uF5SBK4y0N9jMxA73NjGJ6Aq/F671Xjxaq0sy0KIkYaytkoulfl4IqRMnldqa/SuSLDXQAD08qJ3/1A8aAfs1OdvXBQhByEIZIEkpjBL/vcdz4y3bhi5+vLlzzrWHT849Np6VaJ/jCCrKE1BOnT5xEON9fjJG1Zs4b9bTPrfHRKuvvMzbByfBXtQfX5cbUMelD65CgZzEhAJlvmNfxHLJBWgY8nM2GY9E952YbWMUIDAVabn39BaZVkXzufK6bzwdFporUMr0BsKHLr6IcCYwxgjIp+sZ17v+28zo9fb/yUc2B/UWczLR7frHXHLP96KJ1cHZ9EtdH1mvHNwffX6jUV648Ho4rSwXAKLeuam2lnXhYeHB2otfPz6DQ+vXrOWyrIU2lqMurUcHrq9CG8nCWIBunc/UThFrFbMV73e/q4zV97KXK9v+E/e/KpKrZXT+YRIILVCLJk8F6abWzQmwjTxtCyEaUVCQKKd6GIIxGjPf9AkAFHE6eKwLcCEEnvfaBoJY8nDJ44mO54JIr/nWQ24CrBXSWYQe6ujKMdcOMRKip2bVC245pkeEkrg4QQPZ6F3Za1Kbfh62a7iwvj83mfBT/OM3uWHd/wBhnrWBparCB0RQWMmYkGR4HRvr9D8cBUiIWYAkoqdCBFaV9C+/R4Beqv01iwgx0gQK6tZec02tdY7pTdOpfP6ZHu3qCUaOmXSfMvhZuZ4d8/d/T23d7ccDpNlwn4/jpA6Yoo9wUF5+80jdlgYh9Kmtt/XrhRPhHof7NAlkMcQCaM0iPrPYb8nyHYHfdbb8J2D68evXtMRJEW/mAAxeM3RzkPaO62saGucz2dev/qYsq68fnji9avX1Gp10978JNGaBdbeka6MGGVP008kHkgtA25vnUK2LJer4Gt/2b4+6N8BudpVFShlZVktbYglEXIil5np5g6NiThNPJ7OhGk2qiQm+94QiDEgAikK0c8dKQWihO0UiSpBIWKfQ4Cgl+Aq/xv6escXBfEA+0NuJaMntr+qf38AYoAUOrfTym1eyKFzmwopdNIE+XBEBb6bjZorTXn91CnVfl+Qq2g9ktnrCP4p8EVRujv+4MGytu7ZnKIdz1KFjrMiMVmWWsUSGlUkJGLMKBCJSLeAU2qnadvYGXBKtjeCBBICkjxw2e9FAlU7tXdOa+P1yYJcCBAkEDWRjncc7o7c3L/k7sU993e3HA4HUrB9tI/M2dOSS3BlS14QsSQn2Gf1EmHvndo6pTWLQ/0SkEMIxGh0dPBA3lXtJAJOmXqGPx7jM7Aw7xxcz+eVPC+EFC9FpGgpfXsruBa0NZbzmeW8UMpKKYVW7QXQt44k/pqpXP3ZzvM/bOu4ftEv33f93Z9+0xE8cbbjHtID9O5CqvHh9d7WERVEup+e7LoDI1bbmxMQggiqHlxFCGoVhI1MeYu72TfJZ8fVffP2TaSf+HdfbX7aFYQUYUqQQ+BmjtxOiRQ6x6ik0Ik5kmd7t2+qCT3WqpxXZa1sbMbbGatcHuqti/v+S7+mdD9vgP3C6NudFn52XL/kykg8LPfr3eoTgywW8aAkgyr2LNAPjiK+OuVSghvk8EbNDjbYf8fGIKtu1LF92N564a0twKWcSCmSYiQGF0upZcyXpCigsj2iPTOVq8e5uh7epn21dxd32SE2iGldtiTrh90yn5cT5j0E19/8zd/g9v4eiWFLo3XQwnp5kq1WtJlw6fx0ordGaZ1ax4tydUpQF/OgFtjUaITtZKVb/mdstJ8wZDulCUofrIEHNb/gwaX76pPrF1guW1jtjdqcThYLjCG27RTVWmcpK3ldjFppDSSQcySpEoMwhURCiCJMEkhir82mLLUV5AvXa3FA848dXwJ+GA174esRtcNjwJThMcDXPsh87WVizvBjL+/44KgEOlGLlTZCRGJGCXy1Js41clqV3/jtM7/78cra4M3SKe0HxM49Nu34jLgwcxaEeu/0avvsWo3qjVE4zokYBZVA1Evmih/7LbMT6J3QV5RBC9vvtdKX1W0J9jMdofVOB4pnjaU1moJKdAFUp6OEGLm7u+HDl/fc3x45TolDDgRt1PU8no0nJAGV5J/Z9tLWG83Zzt4qeBLUeqe3Rq2VUiqqSpDA4WBCqWnK5JSIQei9UesnaGY6qNWFLZaZMvnT4p2D6//87d/h+OYBoqllLT7a53GSUFV6reDtMtVVv2GTfA/J5Hb8AYJRoypjfXj1/CJ0AnUqLdipqg9RlW4qubcg8IN2qk8G2oHWmp3NQkBDszfLefvWO6VW1lIgGH1tx7xsBwwCqBIRIoHswXU8vRFgB9VxvacPIdSO368IXp+xGmsO8MFd4o9+Y+Zmjnz7qxNfvc8XxqZ3VLvVcgCVDGSelsayNkptPK3K06oUv2f2ZG/Hu+C6wjDKaK01VIWiQkOZcuRwmJAYnWmzPdqUwMFp0IRIIEojhIZtc4KIHf+tbDFEmhdBU/NEqLZObY3WOk2he/bZbYckxMjN8cDd7ZHb48whB6YologVTzFG8B7anuB1WBfRWkwpeNYDOtjFZp9bo5VCV2WeD8zTRAhCTonklLCVDrvXiy0s2p3YwLPjrvJ93Si/F94DLXy+9BOMOOjvar9Oy13QpF03AVLKSt76mJStem3PzF/Y7ytDwSdSfkaW+jnTd1X9AaKmy6+7UAvj8caljVOOP33PcGMYsnTZuPxPQt76LH4CvDzPvm+uv2/wyVUlKKiQk3AzB6YsvLjJvLydOU6B45zJOUIPdGGjpLp2/10RiLQON1m5T41QO69o1N7RELxd6/oi9K0r+DzP4dP+1Bf1vTueDyNhERmKYBczYaxbaY0gQmtKi1gpK0TPXI2ZEVykFBPSArFVC6BqgcgqI5fvNZFpxXlDUKW1agnJUCV5+E0pkgLMU+IwT9wcZnKKFwr3qq3yOksWAnb7Keob6/Av2JS+488uwNpKJtevD5d9vXfb/3v3ZE11ExJuVV5nxD9LyeWdg+t3v/s98oP1LumgH5ye7R5M7QlUVO1kkJIpyW5vX/AiJmJSU5n5E1Gv1g4KYitIake9jae15i/iRSGs3aTX24u76bJ/+AsyXuCRtY6+KtXRNoTRDNKJsaNNXcUMKQRSNHWcJFMLzzkwZ6sbTDmSUjQlqVxnqRfzgLE41VVbI0Fv+5b1+w4jkIyyxIubzLc9W/2Jb9/zJ//oHVMSDlnwNmUXp+vVjakbAXNMK3/spnJ388hH2jlrJdbOEmeewg09BHus9yBS+iyr6Yv63h3PB4mZGIWkoNKRDtKhNGVZKg/nlcM8kaeZqoEpBQ559hzJFm8IgcPxyHQ4UmtFYqTWSqsrazmjdKIERrJTykKvp23vVFWeTmdq7bRmh0vo1s96e+DmmPnaV1/yR77+Id/6xge8uD2itbHqStdKcyHqKNaJBDdlCUhMSDK2UHtF1Whf6dZpoq3RaqG3anu2s51h3E/qGS/dczpLjEBJwVXHW0QaZTqnij8l3jm4Pjw9kUuh1rqdNpqrd7fWGO20bplrjJF8yF7EnkxppgH1LqlNvWT52yWwXmer/aIWvmxYl6xyBNa3Txm/9wb11s/aHy6F8q5o615vVXeBYmu92VRq/vccg6mGvVk7wFtZqen1hnjgOmP1w8UoP+/4fQP9xN8EO0h9eJ+5Oya+9nLmGx8cSWHcgOpCxrf79bb7ondib3wwdcJUYGncUDn1TgtxY4H2ZbDjc8FFSkEiGoQQuhnduHp2WSsigbV2QoIYhZCsJcXoFkCElDPTPBNipJRq+5Z2pFhQtaQEN3KolFJMY+MxoJTiceByuBSxjPXmOHN7c+D+9siLuxsOORl9rUrTRqe9deMFggfBaIEyRA+u7RPZKxsVbq59XPpVucrVtNMbWxspQQjdntfYja3n5Zo7fcbMtbWGhGAvZlfaVWvMUNeqdkpbLZCmSKcSYmBeDizriaaNnCdSsifQtXnW2DG/J2/qEd1KsyPze0sR9gM+xvdcfy9c1Vk33nko4/zrIRCD2YdJuFAs42cCQoqmbgsxEFJCgpBT9MBqv7dzyarFN+VBhA+12tvvuvgbv2+rz40fppYdJ+fBPMRgB6Qpwc0EtzPk0Omtms1hq9ZbbSoMUEGCHbyQC72kY22gBO0c2sJNrXSJnHrbrue61IJu8o4fgLG2Pwt9ta+zH0Uo1plg53Wvi1r8IEYhJzv419pYlkIgUHIkRsgpk1MmxcTheOBwPLIuK6d0RpoJfJonUqErIThj2Sq9lbEKrUbq16EuVg0CKQi3x4kPXtzw4vbAYc5MrhTeGMRhrwhbTBtq5ksviDOBGzMIvVevsVbWdaXWiqrQrcJrdVPPUq03dzCWI6aYLkh6R51aVx0Ki2tlzP8e7xxc13W1elIdAdWtqFzE1JtlrefyRG0FiULIgkRBEsw3B6ZpYj4cmeVoG5kHZNVG12IOveIySrm8mPhL3K+y2PHn8Xn7rk98LYRgb+Doj9oCrH2kGOk5W91YTKAUrKHGfl4Cc84cp4mQInnKW3DNaSinoXoWo2p0RQCyb9cpBDLxsqlflZvfAxO44zNDtrrUVndxDDV7ECVHJQncHZSv3CsvjsohVVpdaKqcz8t2gh9d73nKzPNsPq3OdvQRXgWSVl6UN8h6JqIs6YYSlBICa3T1/FtCgB8UFK/0ALKvoT/MaD1cFK6eNEi0pGCeIlXt0Hg+F5Zzo7dMyoGcA4ebA/cv7sk5c3f/AYfjLafTiafzmdo6uoi1UbZqbmRB0d6o5Uwrq2fNM9ZTG+garK6ppq6fkvC1D+/49h/5Kl//8J4Pbo/cHiaiWFKyZaUhbZU9K/kZ1FnN7SvBJIa9dUpdKMtCLYXHxxOlVEKYCOlACJC69/hixj8xRwR1Ix97sFJW+71DRCUBDcnEXZ/hPXj3zFU7ofdLgLuibHvz3tDWaNWsDsWZXunCWlZKXZAAqWX6OK2PFN+quJa1vlU79X/7RJb6g4LsNQZtPSwINVwoBPv0tmhExELp1hH2VvbAVqO9GEe4yXW4VI+7/16rPXcibCHaTlFuxfXWs4MfLHfe8UXiLZHZJ7JYufpTEDutx6BMUcmpIzIYm04phXVdbVn1Cx+VUkQ12Bk6eD+qjHO+krQw9ULuldStzl8/eTvL6FfUt/7lrYOAfv/XPv2zfz/YzSy+bFyvZn1LdBmjkGKgdxM3qdrn1iEqSLBkIefJP2dKKRuDh3jfaldEugtXu+/77a1HHyzcNhQAa1Ocp8ztcebmMFn7Yowjd3KR6KX7pHcYxgH6lrnOJeBuLI92eq+01qjVPmLsSLT9VjeRkj9GGKaNV7Gl94102lhSMWHVZ9E/vHNw7b3SdTT3eigcAU5dDq3NepF6ZbgqIUp684o0TeQ8cX+/0nojhMgUEzFGWmssi6X2dS0s57NlwrVSnctv15nyVpPtG009TPXB/IJrbb7AzPZqo2LFZOHZ6d1LjUDwogShds7nhZifSNPM9773EbU1pnnicHMkxGjG/dGl6V6LvQisQGulr8VWTFezeuRtsiHEyOPTw7u+NTs+B+SKdvrBsFN6R3l6fOC3/+dr3szw+jjx0XECcAFH3zYKQchT5nCaCb5xTVOm1cqK0A5H2kGp00yZrAZ2LycqlTc62yHMr2sQYu8nGMonPr8/vIuZxY53R55mUvYBMdrRGFBNxKYcegXp1Kaczta9EkIk54kpJ+Z54jBPxGgDU5bziVIWC2xBkBjJ04EQKtoL2gtdA0hEgvVyN5/81LoMewJiNJHnYUq8uJ358MUN97cHckxWahtJCmJK4CBeK1Uvq3F1YrzyLvB2zbHXx2TP1WrF2TPXCZHLtB6JwZXQrpD2Q8El+F5imIgSQveU6BmDa+0roVsVcoTXpn27sDYCayvUVmjaWNuZTqf2xlIKKWfWdaH3TkqJu5s7DvPB/H1PC+u6sJzPPD3YuKKyrpR1NaFU9eDKqKliwbWaBDzGSHKfzLUUymrjiFKyAL79HLjIKhNCIMVEyt7jNR0IWVCpPD6ebOEg/PZv/zYPj48cb2+4f/mCmNIlcxWIMfnIJDxXhvW88PT6NbVUyrKwnM6bQApsU5rmiXVd3vWt2fE58XsHBhs8Ia3x+vUbfnP9HlOsHKbEYUpm6ZYyIUSzhHMVec52s8cQON4cuDnOqAoLQru5pS6wHg8saycKfCBP1hOoytptRGGRiy/199/knzdA7jXXH0XMh1umpFSxbE5ECaJmMyuVlKzHel1XWuuEGJnnmXnOHA9Hbo5HEJyFWVjXYmpfgZgy+XAktkZZTpSz6wtCJiShd6G0QOtQ+8WAIcXAcU7cHjNfeXHDN79yz+3xwJSTi0EjKdmf+5VXgtAtY7xyZ1K5Ivc24aASUwA1j2PtidbU+splBgnEZK1FIQohJWJKVoY0S74teKsaK9u7QgjkuDnlf+r34D1MxfGa4vXz3P485BrX9G3f2nVGBgrQqqXyQYKrKY3aHe4a9uFZbCmUspoqrVprzsbNj8zVa8DqBv8gFtBK2QrXurUM2TW2bsE2BNvUzKeSLcvsrduoPKf9zueznXyCkObJ23K8zUaEmJJnx1brEIT1dObx6URdC+t54Xx6sjfW2cMQhLnMrGUPrs+OqzjzgybhbNTRWC+tsqxnuhS0J3qzgJrzTIzZ+gi7BdyuauvAT+cpip/wgzWchUCP9mHGI90nJHUSnUbY7EQv13VNVl9f+yef2A/KdH9YUL3++u+VIX/y397++561frkIMVm25a1+IUAIiooSQ3f18NCYQAyBlJI5FrmxAmBZr5c7jIyzjC/liR4avVZaWOkq0L3GCtY/281Movu+LH7YzCkyTckcknL0cZ3hqidXttbFkZYMwdJGLl8FwYsJqQmhNAQ0gk+LQ83BfaOahwpq/NxbKlm9EvR41iyuqhL0h94NPwjvHlx7dePmwZirByTj+Ufd1Khh610yqthPC6qIC32Sj2HrpbGycH468erjVzw9nVjXM+enB9pQg7XqUuvumataf5MXv4diOcbk7hvCuq6sawGE3u3UompuS6pmxdV7JYRAa9kyFAnE1gjrat9P53x+4ryc6HQOxwN5njjc3JhIxVXOAClacJUQyDERJLKczzy8fk0phbKsRnUP1w9XxMUUL0X1Hb8vcNEJKqo2tbjWlVWf6LLSm1CL+ZWGcCAEazebp4NtRiWylkoIwvm88PrBxmrFZPTbUlZaCuhs1HLw2/hWK8KZooGPdaLq0Jp/ltv8037vpw3An/V7dzw3DscbkhRqWdBe3Xlo2MJa76eoME/G4L24v+EbX/uAw2Hi7jAxOXtTtdO0kkQ5zBNpguPNLS+IqMLjm9c8vbH97PWrjzifH1lL4/XDmXVtvDk3lqVSu3I8ZG7vjry8v+GrX3nBVz68N1Ho8cDkjKFEEw2Zn4G38IyaMW8fKEfmKuLTeFIiJyWQKUUJ0qm1U1tgbRf3PnNd8vrt8C0WFzmNUa4eT+h9y6qj/GBDoB+G91Rzbc5Hj3YW/F6zVF4ZVlQ2q3Uzmhh1R7Uu1yTWptJrZW3K6XTm9avXvHnzQK0Ly/LkWWrfMubutDAAY6qOU8OqatPl3QDagqsFLSUT1YNrs+uJMaJq/V9tPC8JhFqRkAkxUlsl5czp6ZGlnMk5W39YToBQWqFUp56DBdcYIvM0k2LivJx58/qNZeR+PZ90fkKgrHtw/VJwiaKfwIWbscNTo/XC2p5oLLQAJdjpXFgQmYgpUY92wIsxklO5qJGxksXN7Q3zPLHUbsH1kO1+UDtw3vbK3JRVA6cmPGlwImYPZjt+OI43R+gReXp05bvVF1Ub6JneLExNUyQrvLg/8rWvvuR4nEmqJO/8CDREK1EC8zyRJZKmI/PhDhBezUdinDifF169OXOuZ05L5aPXJ07nwuLDKRDh9vbIi5f3vHxxy1c/vOcrH9yTYmKeDlsbDu5MplVpbsf4FqPEKNmMISjmLBXCRAjKnIWcJkrpaK+U0jmXzno2dvOTPgpGO3tOLFjd2B8whOvgGrbRoJ8W764Wrp2e2jahfqhiTcDjQVAvzkle5LQXSnCLwLC9flsRGYyO6NeUsr0oQ/WmiouVZFMTD4XmUOluNIAHevsYL6Revr6da1yIgtttyXg8fxPU5sNqb2irdD8Ndm2XGkWx7LjFSJRICBFtjRgj62pD4VurLvByLl8ur4v5F9d3fWt2fEa8Ha+u6uDjb+MPTh8pbK5gbRwWuXQypw4plQstFnwy0tXvr7USY3ABVDclslzKS9EV6KpCAqLrA9onSq/W8/euAffzULl7kP/9iJAz0rqzbcPScNCpwQOG1R1FhGnKl4k07s+ro1YFRqO6x2+MiTxNIIFpPjAfjiiB+XhkPp1pGkj5TKyQRMk2647jYeb+9sjdjfn7XibgeLlQZXvM1hq12d4Y8DLNFkeslFf9fgt0VLonobp1qtRaWNdm7lDeyqN6fe/6Xs5VyecTy3kIEo0jls90i7y7Q9PjA7135mwOIMPNyOqhK70WeismW+sNtCHYyTyFwHGayDmTgliw6m5n1aGuC6gJPNRrAqph8+wFtswX2IRB2ju1NC/kW91UgcgwzxeiCYDtx11iHaQjoSHSCTGRsz1OjLKZQgSpiHabvdoXpDe/Vnvjz8vCsixWPxWj/hhN0ZspgF1nipF5ymyqUrHmbOuT3OfiPDfGoepaLfxWYIVtk4GIVqGWwcos9Lb6zbuiJGLKnNdKTJn5MHOrpigfHtStK/3pxHlZac0qQ4c01k0iIEwpMcXE2oXHJ6jnRtHAU4s22/qTm4F//rJLnpeJLHuS/WXg/vYedN5aIGuttFJtX0qJNE1M08SLFy+YppmXL80hKQczzW99NVoWPzBKMB1BSMzzDXf3H/geOXNzd8+yrsT5wP2Hr3h4eELzDQ+PJ0opLOuKiPDtb32Tb/+Rb3B7c+CbX/2A2+MB7WrXV5TSOmvtHjgbVc2aMGcz2Ldk0zQ0axWeFhtEcJyB2TPNttJC4elp5Xd/52NOp8WGw6SDWe/GiKaEIrQCtRW7p4OvWcv4AK/iSgRs1jg0Wv30+/K7m0icF1KwDC2KyZoZ2WsrHiibC4u8xupZZgrClCM5JzvRtwYitOqTZ2phNPjGIMRo9lcmCBkq3Ct4Vtx7Jwa33ZLRK+tDyUfKH0GCBXlFTSgWrG8LEUJUUrLXOUW24Dqal0UrQa1v17yOK12Vcj6zns/ew+gNyHoReMQUmaaZGAMxzRzmyQv69ua21ql1tYWy45lxZRxxzdLLlWBPMGHEqN40PyWXQlnPqApdq7U9pExTs5DrKDlnoupbBia1dUQK+NocanPc33SaI7dzIjfhpsJT64QG564/3H/ayZkfHmCfJ9rt7ThfHubjEdHE+XwmloKez0aVogRX5c7zzIcfvOR4PHJzzOYuJ0Kle4uNs4Vb32lCQibnmcPNLTFlYs7MxxvWtdBUyIcbpptHXp8qkh+pZWE9nwgBvvm1D/hjf+QbHA4TH9zdcsjZy2ONUipLaTwtlaZKN+sgn3oGELexo9phXeF8tuAaxS1nRZG2olI4n5548+oVD48n8uHI4db23t4mu4m70KvS3DUtjLbJMYhgO0S7J4Je6YQ+Jd69FacVainUsNJDYEzDVbUTibXgNO8xrd6eY1aGtTbWtVhLwvlMDMkDzHgBV++JtT6seT6gqI0KcjrjouAc7K+rjCcPrihdLJPObaLW1bNK29x6ayzLAq1dTi5vfVijcYhOPzu9EuJoPbqysVNbDHEE/hCREP10Zq1Bg2T4JL1gPVpOdV+r9XY8H+SH/Pnqa8JoORdKUdpTQevKcjpzPj3a2bInlEhKmeNi7WXLWgFTS06eNdiM4OBiQKO6fIgWQRQJikq3yZcipBQ4TCANnnSbvriRN5vUwUsmz5sxfvLBdLuGPXN9fpgFa+Z4PFJz9h5861tNMVLWhcPhwHw4MM0zEqCUShVz1mut0V3s2ZoZlzQpti+XlWVZSK2bsNRbfaZp4ubmSGvK3d09SqDVA/UwEwPc391xczwwTQkRpTXTnDw8vGZZVk5r4+Gp0Lp6n6sp63tTDnO2w2KzzPXp1Hj9UOgd6jpR1xmhQ3+CvvJ0Wnj18MjptHATIvOtlQiN9Yw+rexqljejjHi1Zre1O7pcKq19+nLdu4+cezohTelrMRn0VmtVaqleW2ycljOlFssk3az+dDqT0oNtPueVh4cnP+36ZuNBSVBX5B6J0TaneZ49uI7b+qIj693n93V7rC4meKq9Unt7q4VnXVdeffzKAizqJVlBgmu5Q0BSIubJ3pwYPWjaK999xutop0kxEQ4WuPM0k1Km1sbD4xNrWX1WIltw3bw0YyTGANKZsj2/HV8CfqCgSS5leg+sXQOnp8ab336int/w6qPv8uqj7/lwh4BqIOfE7d2RlDMvX97xta9/hWme+OCDF3zwwQtitHmaOVhdbMzTTEFIqREC9NBY1Pr+bo+JNEeeqrAGCBVKg6V8f5b6e2euO37UMU+J42HicJhR7ZTV2hl7b6zLmVpXcsrc3dyQYmJdnnj9+IreKkJBMPvOtSi1Wh5ZV6FLQiUgKRNTJqWLO92LF7fc391yd3emE3l8OttM7l6JAb751Rd84ysviEGhnTmfTrx588B/+2//nYeHR948Fr778UrtyjQfyfOB/397//IrW7bd9YOf+VxrRezHOScf1/diG371K1UDIYzAAtFEWEII0aBFww3LDVq/Bsh/AHRo0EI0sARCQjShRxMJueMOEsaWJaQSVYWKAtvX95F5HntHxHrMVzXGWCvinMxrZ948dx9jx0jt3PvsHY8VEWvNMccY34cPgRfP79nvd1vhRGu8eTjwwx++JufCbujY9R21Fk7HB+b5RKmNZZFu4icV7p4/xzm5JqP6uXoDTntQb0njbqYHOlKsjVwTRRUFv2p8c7RwzmS7yAxyvaLbWrnKDqiUQkqJXLKsUFoErpVrKVV2ILmyijOv/CwJqQa7rscHT9f19H0vLTTeTq4GtRLKcnJU2pbQi1bNtVbSkig5Y6zDh5MgfFeyLGzbl1UHVqDsVoQi3NlrcwWrvKVZjFSeUdWnrM24acJmnbtezMrMxe5JqlepXN3Fc1zjaePdSuvt0eYGdyPlxuGYWE4LL1+PvPzsoBepiD3E4JnmRAieWiohRrpeNk67fSGwcqwVSreB/6qMKKyCpRD9t+DFCbYaCB58uyDSf2k7m7eO/Cnjmtg/bIjlpUgXNho5ihRgrZXURUpJOGvpggibpDSxJLGTs7ZgjRYhRRJPaZClYcyyLMzzhCuF1gLWBoyxakLuwFhu725xPmJpwtm2cHe7Y7/roVXm8UROC8sy8fj4wJs3D7w5JD57OZEz9Lsb+l1W1agOYzxsSbDyeDjx+vVraSdPPdPQUUvmzZvXnE5H1u6iMZa7e+lWGrvyzJ2ss6zdzvP7dq5c1zms3KhdqA1+1XgPPNdV2u/cnj13arWFtvGXZJ5kvYrjx055fg4fOkKIZ1QakticE2J+1/cMuxuc9zK7CnEzJrfmTAES0G3ddF43/LQxgiA2Ms/NapM3jiPTXKjIh9eUc9r1g8wVnGMY9vT9gLWW2HV478k5cxpHEasoAlc/I0IlEQffE2OHtYXd0PAubR8cxuB9xJigSTWIopNr9Djq1S39j2TIp6K0AesxvoPQCWhCUe9V6XO5VMZpYUlZJddk11yKJOYYA8+e37G/GWTPaVR4zVTMnDC24K2gzDEW4xrYgDONXRSk5dHAkmDFWXwJxuknHE//jNf4wyPNM7O/3HzZ8+bdhzPI0gZpv4aefrillEQtM7VOUCulzuRcKK0xl4nSDLlW5pyxztF3smF0znOzv6XrBhZV0zscRkpOpGXGAGW5g3KHNY2WJ6iJaV4YJ/k6nWYOxxM5N3IzpAoxJna7Ae+DFGxFkus4JeWwVg7HkeNppNbC4+OBcRrpYuDZ/Z1IOfadYHuckSo+LYJbegtfvyrOX4hNXPzVWiczZvuEfq6i/ixQ6O2AZIUArJp3WKw3eCcyWz56SVQxErpeWr1dT9f1bHZDKlXVd4Moh3Qd/e5GF5rVyUaqg6ASc86yGd6qS7VyUIMcm3MY67equpbM4+OBKQH+jSZlud9ut2N/c4P3ntvbO/Z7+Xm32xO7jtPxyPe+9z3G00jNGdoCbZVblOq263f0XS+yjnYgF9k5FlWUkgpVtIydj/goreduMHTd7ht/NNf4MeJLKi7zzr+McWAcxneYuMOUgvHieblC/AuiEjarGMjhOPPy1Yjzjs9fHnnx+SN93/GnfuZbfPSxtKyGToQncimkPMoGVK0PrXXEvhJiIZjA8z6QW8UbwziZ7ZRfRdrMlx77Nf6kxOn0CHUhKye063fEfofB4Y2juqZtT1lPQ3fL3ojgzjQ+ME2W1hKlzCI3W+C0NHKBXN+wqPDdbuhFBCJ2fPrpT3F//5zT4cCrzz/jzZsjh+OR169lbX389qfM4ycEZ+hDIbjKw2Hi4fHE64cjr96MfP7yQMqVflzoh5kudoTQ0ZrYfy6pCqNinJgXQUIfT5JccymM08SSFp7d3/Lpt77F/d0tNzc3DF2giw5qYRpPgNJyEIGIEKOM/FjVotRfvAlOxvuAs46Uv/oV9R7kD9uG0j1zAc35Z+2xGSsHLrPFIInFB7zXYbsPOC9avivYSJJqFH/B2MkboPMpkArQOVFaEkSxVRT1Wkk30Y8MsjuzzmOcvGSXRelpToUQe3yYJLlaKQFciLjQ4bzHx57YS5LvdjvVPa5yLKr3ukJRxAPQ6QfkEPUQi/NC5C6lyG1VDqxtfXL5WjcV4dpX+6MTF5/FBnoDMA70nBKet1W0OYAYSWymEjVRilFg3kiIQSrbcWGaF4JKz5mVc11kL60Qd5pragrtwFS8rVga3ipXvBrhvl50jtZxSbtoD7+3ZNu2/50f9ZrJ/8hEzZlcLLkIqszXwrrtkgRyRgGDiPH7IHNLlyLGegSeu5qYyGYxl8aSK+OS9RQQJ5xSCmlZlPqTSYtoEk/TxPFwpLbG8TRyOk2EYLcRXilr61l+TqWQSsXlgssJay05ieFKqY0lyfeUi4CtdLZ6GmdKKUyLiPjk0oQqFKNIOq4c8yamLiDJtTVDc0bcgLbT+eJE1t+JrKJRvvBXi28+cy2r8pJTTV69vo2h2YD1goYMPmCcoiW7Ducc+/2e+7s77YGLTCCtSYVXKjFG7p89o+ukfey7HmMsKS3Mi/TRcQHrRTorBAEF5ZyZ51EcdNJCOc2AweoQ/uI9Y8kQ+hv29ysNRtq7NgaK8WA8xXqqCVTrwUZwkYLlOC48PJ42Ef7WGjFEYhB3n5Ity3wx4y2y68pK2xGTdaeUi0rsKs4JCMbYb95UuMb7j8ZK5zJ439EPdzjjGIaXjF0kZ0trs5ilmw1HLraCVeapx8NILpXYBZqxvH44stv1fOvTF+yGjhAcfR+w1gglzVRssTTryLVhXMXHiLeGzjp2weOtYU6NqV5k1y1+0lnvMslebkSus9cPFaU2UpJk04DSLLmgWBZpfTrriFGRsy4SQgdI9y3Ejqxdl2YcdU6U04ElJaZlkY5da+RlYp4CXewYuh2tWY6nadOJb7XpLLfw5s2B7/tIjJ4X9wN1H6mm59nH36G/eYHtHzjkH7IsmdBFYuwI3oM1pCxc8JxEFCLNC9Moo73TtHAcFzn24Il94PZ2z7Nntzx/fsd+3+OtiE0sKTGnRa9KjyD4wfpKw2Jzw+dK2xSZZDPignRbU/3qWJj3k1xLodm6kggoIK3bGLBBZOC63U4WBC9akt45nj1/zieffLLNMLOaq5/GE8u8MAwDzz7+lP1uD9ZpwjEcjkfmcgCatONCFCRYH8Uzc5pI47idXOM4U1vDhQ6vqN8VmJSLIe7uMHFHLpl5WTZt4IShGksxgWoDzQbwHcZ35OZ4PM28fjiKCP+8QG10XabvOqyVxBrDQq1Nk6vuuoomcO+2Dy0ulbAUQULvdgQfv+lHc40fJ74ULfxONEE6ON/R75/hfWTY3bDre1Hfygs5i7pXM1LBrt2UWiqHxxOvHw447zmcZobdwLNnt1hjub+/YTd0OjKwCIFHFHYKhiUXQqgE1xEsdLbjpjMsxdJqZV4EA/GWg+bX4ML8eBPUL3vDrln1Q4ZUeYlxHLd26jRnFVLosM5r1zDijcG7jmHXY40h9gNDuhWjlFqpWLIZyfXItBSmceZ4OFJq3gR2YtcRwkAuSHWZL5LrvJBS5tWrA2kWjWJjHMZ1GLPjo09vBEDUf8abyTHNM847nBfsSrPi/V1LI82SI+ZpYRzlcY+nhcNpxjrD890N+33P7f0NL17c8/HH9wzB4R3YJhoC4zhKEWgjGE+o4LyIVxhT8Vks5ryCWI2zhNgTQkeuXz1lvtfy6LxnVsSvFbd3+QoYF7T9KwnXh05ast4pZ69sFqdZ3RSMcToXUEEGfY6qQCqpBCWxl1qxzW5GvqUqlzYJd8o3Q6mC6PVNWgGlCodQ2tbSRmY1y6Wp2oQsUFsnrBlt9akusTr4oN83A2JbJEHXRkpn7lhWUwELYC21NqwvmFywVtodrn319sM1PkysqjXNhU0/uFZFlxvO59DFmAIQc4ci+sTLkrDOMU0L07TQdYvMX3MEZC7WDNgqXQ9qxSmoo9WzZKKzYuD+ZSIYcrAXafMPyHvfrMb94gNf8giv8XSxCvUbazGrDCzt4iNaQaBm438apaA462g+0FrFexmPWZeUgta29a5VYWNIe1eEIJYlkbLSEy+YFK22zcA8ufW2BecdXXA6GhQMTlG2hXVmM4TZhHhWCVxW1zKzdQCdc6I81csIUezlnAINzUXf963pyfazTDfPtulvvT8KUrVP2RaWsvlt9n3ThGjjgB/28gLDAD5gYke3uyWEQBxu8d0OayyH6cDnn7+UMv90Yp4X7u4SN89eYGIvff0q7dTHhxOv3xzkwz9avJd2862KoOe8cJoXck48nkZevhQ+lNO2sLWOfr8jdp3IReoC1nQ3J9Brndkaiw1hS6ZigbeQU6aVun1CzliaFW5ETZlmDGMS4f9aK7NWrrW1jX7ho8c3kY1MreFyIuZEd+zp4rUt/EcmzDvnty5S1gXCcIf1ke7mju5uj50dfp4x0wKtiApMqViTpRtnDBZL8JKA85I51QnT4Pd+9/u8+vwNz1/cUsoLui7ol/Dyaso4XbSi+h/X1ojW4oxldBYfrGxUy2omfXl1fjNk77up81wb89b3a3z42N3c0Xeefr9XXd0VbGq1YhUhnmEQzIqo0RXl3IM3DkzH7u45JnQUOqr5jCWfyNVs80pjlJ+P43CaSO1BCqQsI8JaVpTdWozIhvLzVw+M80yMHXfPnhO6jmb3PHvxM6Qso7NSM7SCTROtLtDAmwKmUDtDtYMUIjc9/UfPcM7x0Ys7bm523N8O2K4nYfDWUVyQNm+ohE5ydDGeiuAmqnEULNWsM2mjZhsOq9eV8wbnnxDQZM15d7F+eBgL1umcdJCq0HdgPdb3hH4vDgv9DhcGoDHOmc9eiXXROI4s80zB8umU6HZSDaYsA+zH08Tj8aSLlqg9heDJpTAomVjE8QunceL1wyM5ZYz1WOdx3nFTK32pGGdxMWK9VNkuRhGI0GrDqsDDunMquZBtVhEKbcG1i/egiZsEbfUylOp6XkSpSgtfAEITaydjLbZVTMmkWhimkdzCN/1orvGTCOF6AQ3jPKG7wblA3O3pdgNYhFKF2g+WRs0VrJg+Y2S+ZZyI+5ckzh0tVwyGGAIpZfqhE/uv20GAfs3QTNEWMyxpVgAeBOewOIILKkRiKA2aOC2+16TX3vl++bZc449ODLsbdruOoWZlR0i1eDkS897T9ZIchc4oJ4xRFSPvLMP+Fhd3nOZGM17QwsWIyH5b6T0ecJymhVM6YI3Du4jBSrdlbd5UtffMiYfHA8fTiX63x8Qb+hbBDNzc3VMbTPPEvEy0kqjlFS0nqOBMwZhCFw2m7yiAxzM0eT0vXtxxs98xdAETI9lYinFUI6wM4yshrhQlJ6/BeaqCaMX3VRKstZJUhRtrcKor9FXjGydXt4osmNXU9iy8IG1cGaA3Y7X9avFBhucCThIlpXlJLEtSmcB6sdMy22IxZ0GNzSmxJLmdMXVDWC7LIhrACHzaOW0VqG+rJH457qpqHwagZCoWh/TlTbvQlwRBQrdKq4rQaA1nLUPfs+x2YlSg5uxOq4i1db0m15AE0PRWco2R0HdbX99YR4ieYRgI/ioi8Uchvqylee6sGZHDdA7rIz4OMn4IAedk8XF2HdGem8SGuta/yrcDjOzysxHVsPE0UmslRE8/FGzT+Y/OcMVFp4ArGFuwgDOOYCtW56z14tjfehUX3eEvc9K51ANu76TRrUo17973ndtdPvc18z55CH5lVf6S360tzY1qsgn2KK5c5f9Q+s6qq2loOIMg2kMgp3kbidniMAVBtGd0bRS8gSgYOmKnmBhvNy73KjRUayOXJoVTa1qQrG1gu6n1Adqy9sJFdQ4TItVYHJ6Aw3nPfr9ntxvoo9h8xuDwzqnTlBQ+S1qoDZLxZBwOwHkcEJyhFKHhlAqlwCrlC20DeX2V+MbJNQaBOluzEt2DVKnOgwsUHGLBJVodNvTc3N2z3+1Iy8IrrVZffv6a168ehBPqvdJ1AtZHjI8s85HPHx+Zl8TxcNjceJypOBreW1rNjDHQd5G7uz3Be/JNZtKB+pIKKZ9btSkvYAw1z8r1igxWXSNUT9hiQEFb1XnoOmyr7PrIn/rOT/HRi2d6EsoOzSovEbQbYiTJJkUKo21oAB8CIYqIhCRX2RDsdgP1a2hYXuMnE28niHUBgm2GaiwmCL+1u3nG/sVPEcYj0+OBOh9IydCqIyURJyk1IyeAhSrnYfAeY2VXnZOMDl6/eqC2SoyBb6dPxBXEezmZooVWmZixNhFiozcWax2DrdTQyNVwqIHyhyAb3+XvSvzBQKR1rmsNBLVjzBVSNn/IPa/xlHF8fMC2vFnKYdTaUztx1jrlaytHWkcdIgUoLjCtVSgZ2zLBw/3tnlYyn5XED2eZr/picEVoO81Vmi14Dzd9JXiD7yKffPJCsCjLTFafaoOFCjU3TlMh1UJpkLSFXUqVxFasViNGgbER5w122GFv7zDegwk0E/DOcrcf2PWB6Ay3wRKtwbWML4lWC+N45PNXr8gYFt+RfcA7z74WvPeU5vEmEq2B5jDVYwzM0wmD4XCavvJn8M0rV+c0mai1mnUY52nWg3E0pHqVSZPBOk/fDwzDjpwyp9PIPM+cjidGPXCzE5lBqYBlfpsrnKaZcZ45TROnWdpi0jVv+GzxBkrJCqHWuW6M9H2P95lmRLdSyv+qnFMoKIDJQiwdxiqIhAuvwaozJtW2DN5zf3fLfjdczJzMeeh9AYJqQFZO1iojtbZnvApcGLsCC0T/Ms1fXcPyGu8ntmRj3kERvFOFrc4YxhiadRgLrtsJ6txYur5j6RzGVEKQXXgpAmSS5CwSTpuQuJPHXwFL4yi3DcFze7dnWTKtGUKoOKXapJR1I5cwNWGpBCy9d6RiGZV3e7nz/wqv/A+Jc2J1thHs2Tw6Gc4tmWt88JinmS56IZuo0p10GOVrVWx6q/ewVpOl0tbk2gqGircw9IG063ntPSlXEXEwUc4BgyRkU4nV0kWhn3nv6YPHtMp4qIx51qmKnMcC9hTRldogtUvwkiR+084AWd9FQufwtzfEFy+wIeBMxFpJrrd9pI+OYGBnG54GaYaaKK2SloXj6UQGpq6SSyH4AN4RqQRTSRmwFu8qWRWZVle3eXxCbeGuC3gfZTeOpfpA9YFmHc06qhE0V+wiPkQ6RXKFKDPFZZmZ54mSz67zztjNSBfW3VQh5UzS3f3anq16ArQCp5qZT4aWE3vVmkzLojKJFq9WdQ3xnM0tcTakg+IsJSWxxHMFct4AW7ZJsrRGfFjF5/VGF9q2HvqG0gNty2knuTQ0hWsbxqCCGm5DpK1J1jvHcnXF+QDx9e3G1yGEcxEfb2kVYr+jG3YYt7CkJFVpLhijzjdtvZegfY05O3aAdJqbtt2mcebN60diF7HO4LyYAhg8VmdpOWepKK0jWkFI9l70YGtrpAx1S3zvgprehiX9KF7q2kL2puEdeAu9LzjTAMucrPrLGs6P/6MmtNf4SceynFhmQylp64itCdaHDucDrVgMAWetrICq7FfLuXItNVFbpqQFb6ELli46YgyUWqnGkJJ05KotNGvwivL1ztF5yy44GQ62jKlJjNO0LHIhyhglenI1lBWIp0kW08AFWgvgPcQeoqP5TnKMkdFLtA1vK70tDLZhSqFMwrety0g5Hcg5c3h4w/F0JGOYK6RQCS7RSiE4hx96khNlP9kQy5pQi4whpT381eIbJ9eb21u8C6xi5dVGiuuoxpFCIDtLCIGbmxv63Y77Z3fc3O7YDwOvXjYOh0fG04l5HqEWQWZ5MREPXg5PWriJ0zSKnm9KAuyojZIypSzUUngcT5S8cHd7g2uV/W4ng/sQ8dZuFl2lVqZ5IiUhWGN08aiF5BzNObIxLEYAW80FcYFA1HBi8PjgGXYCNmlb4tRYW4hwnntd+gTas0LJug6Z8w9YYxmPx2/60VzjxwoFs/2IEA7pxS2aJp14i7txhHBLev5DXB1Z5gljG8sykZbCNApXL+eqybbJvNQW6VhEj3VynhYVWX/1+RtSSvR9h7WNEKQ7VJ2gzA3gjHSQQt/oAxQ8WE/sKks2vD4hvNttvqaT1C2T2jNO60te+9p9sQY6D72H4Co3MalSlOM0eyorxsJ8Q1zyNb5pjI+vsHVUIf2z65a1jn7YEaIYn2Tl2ctkSw0PpV5RNaOZVoQh0YeG3Ttu95Hb2wHnHQ9j5TQKTQfXwGW87fHO0kfP7a7nxf0eZwyH3vEYhQ65ZEuuFhsGwn7AhJ4lN+qifFMdJVIdmUGYGH2E/Q30gdYHagjgLNHCnSsEa7h3lb01zPPI689/yDKOLKcT48MbUk58/zDyw8OJbC3z7pbcDTigw+AM1Gf33LtGi5FgKyWID1ZOMyWpnsFXjG+cXGUeFKhVeuPFBnAeayzFrmgyS4iB2EV1ivH44DCg1Ja0+bYaVmN0tw3gN05pzpQstklbW6GJtnFJmWmaSNNIsJbpNOKMIXY9fYhiAqCuCMK7qlItg5achpoLLed1AyctYWNk0bBuQw+v1kXDMBBiFHDUBauR1raWcGXlSikKTVu/+sK+tFQwGMry1T/Ea7yn+BHZ4MsMv883lURlbYAw0GohxIHY9UDTDo2YOvtUKaaqr++laGbV6kJbxK2JJmwTkN7pINaGyyII+NaQedk2myryWK3gTcWaQjCN6qSjYnUX94VXse0S3oUttYsbvF3lWgPBNYJtBFcJtuDt6qvctsL4mlg/bJSykJNhFaG31lLUbct7J0WDtEhkDNbM5gtcq6FWoFVqXqglUap0R4I3hCDrn08iI5hVFMdQFRVcZXTgjKiNdRFnDWmKLF2klCZWnkXtPL0XpkarWFuhrfROSzNN9OBtoFlP85Hmg9JnhL+6zv+jaURjiECpiTKdWE5HpuOR8bAyURbGaaZYx+IiGYtFCjgLzEMnecZbahMKZkOMYEotT+vn+vzFR4QQqVXK+GxENrBZR+tuaJ0koPuPXtDvduz3O/qhI0TP/nbHRx8/Y7/vGfrAfhDk7O39HcMw0O92DJ0nOEOwEK0h60nRnKNVQ1KBhpoSeZxZponROR7fPFJSYn8jqkfWOUwruFZoFBwNh7rYeNm99UPPzX4vrjteUMbOWPZ9zy52dF3k+Yvn3N7c4EOgG3oZgte6+cTW2ihNAE6VFfLdLkjVddObbTpjkzHcCpIRNN94On3Tj+YaTxQGZPNFh42VePMJrRXseGDKFTMdwM6yaJWis1JBzwtAQEcLujgZK4uSRGNJC0zw6uUjDUMXI/fP7onRECP4KGo2zTSWvIBxxJjwzuOMYVwELVkqpKIp/Z0Nw4+CI102eK2F6KEPiI1YWaAkyBGqk52klUXxGh82DBXTMufWnADpanXk2WBqkoJDsS1VBXYahlbFr5hWqWmiFil+SplEe9hW9jvx0z5Mo9rAidCJMWaz/EyL5XgomDxhjSEtiVyhYbGuI7hANZ5lKbS8UJpBHKeQMaPiRIuanZAN4zix1IzLhlAt3hraEOiGgK+NdBh5rAJ6ffXZDzgdjuIQdDqRc2GcEvOYqdZR7EJtDm8tffAEa+mME7ecaig6VwZZq1t7dxP6B8c3Tq7f+vZ3xEZLk0dujtQsxnri3TPC/hYfIzfPnhH7nhA8u53Iu90/v+E7P/0tlnnhdLjl9HiPtZbdfk/XdfgQGHYR76Fz0Fuolm03VkvhqNKCdV6YjydOxwPkwivnOfUdNVdu9ntsDBhFvnkFQhXTtnmwC579fsfzZ/cbCGoYdjgn4hQ3gwj3393eqpesxYUgJ00pmLRo+zrTqgznazurN6WU5KRLmXmUWUBbpSObzIBFccdgnGWevzoq7RrvMf7grvAXQ29rbKA5i3WB7tnPEoZnzKdXLCXjTq9x4Qg0asmEUCgxU2tjqU1BdoodaA1nvVKxDCkX5jmRUuYH33/Jw5sTN3c3+DhgXKAagx883ltqLsyzWIHtho44eDrnSNkSvWFMkCdzBudtL7mdX8gXqlW2StRa6ALsOzClYKcRygyp0mqA5mVRvFSDusYHCWfyVpHRGq2umzlLqgtF568uiFViqUbEIYDWtPSoklxbTjQKsACVYCv3twNdDLx6TKovj1jXGUMrhTzPJFtZTonXecbQ6LodfbcTvYGww7uBpTTmqZBKxvgox2PM1tQTMKCMUbJpLMcjZjEE3+imSnSAuWU33GBq5vTmM+bjA4fHA9//ve9yeDyK2EqWdvNhroxz1c2wxxSwMbCPkSFEds7jm8VUmSU3Fh29SGX7pMk1xvBWcjXaHjbW00UxhvYx0MVAjAHnlWvaqhj6xiAarLmDUrDWMPTdJu7vrZTtzlqCc0TvBXBUmwzTvSNbmZN6t3Ka1tavvBWr0IV3AgYpBmIQ/1brPV0nQ/W+7xj6nth19H3PbifJdTfsRA/Ze7quI6o1nFEwkmvtgkNmNn6saWYFB8uJqju6ZZ6Fh5YzOSU5+UsVxSezJtcrWviPbJgvycDa+m/GYX2HaTtcmrGhx4YOlxfpctDkqqtihm5zkfPZABdJbgXFGbOORSrLkoGFEBMpFZWZ0+MxVoFRFWPAGXHM8a4RvADqUpEWWmWdu77zOrZ82N5C/q4IgnWRcUZKilYy5ExTgOG2rzcX92xv/eIaTxRmPZ9UJ52m2gF1HXU1TBP6n2lr5bqqenHustUiJhQU2QBSdDRgKV6AnZd32hDHVcYVNWfyPAMN6zpiVB9V47DWY2sDkorxgHIuaJcbPqUStdaoWdx4TKt4U8je0ErC1AK1UNJCmsUmL+dEKXlDH7f1Iaue/aq1a2rDW0tQjYLtjFenHqOUM2OfOLn6rsPHDlOkWsu50NL6IYg1ljcV1zK2JvKUGQ+LoH+XRLANHxzD/Q3Pb/cYYwghKKoX1lLixc2A+9nvyOOXQs3inDO+uGc8ncgpcXj8lHmasE7EGKx1PH9xz6cfPydEsbmzTqFDqlcs3Kk9LgT6Ycft/TPhnwaZD1trxTM2eBG1DmKNt33ogCseGzytVWIWVPN6gq1V6wrCmk8nvv/d7zKOI+PxyPHxINVrLpJc9XHT1yArX+PDxuX8FQsu9rLZa43+7hNsEE9K1zI1L+R5IYckajXzQktZwUb6GKaCqjk5ZwhGOK7zlJjGTMoW1x0YXsH8Lcdudy9jlS6y38l8LXaR4AzeWK1WHI8nmWXlAqkaUtEEuy2Ogi5eR6fnXCkJNbRKl2f6ZSFPE4fP3pCmidkbWrgTZTNVZwM2JP01nj7W/sO6OTMYTV7SPaEIs6GhrVxU7QQD5gIPYJog5jAbmjg6y64Xf9POW6wtCoDymx3cOE604sjLzDLpiMvuCNGK2Inr8HFH842dyYTSaMZSzQrAUmBc9dA6vM2kuvB4eiTVRPKVGhvRGU4ejkG444fjifF0IpXKzf0z+t2tyM1WVcx7nMiHSXKVbdSy0JvIs92e2/2O3bADGynNsSyVPGechX3v6K37AjrhD4pvznMNUSQDq7RAUxNtXQNYUwm2yW63ZWyzLPPImzevSUk8LDudbw5dTx972SHoRr6UwjwLiKO/Gfjk/haMSMblJdFqZTqNLNNEKZV5nsRdp4hJdamVu/sbPtbkOgwdQ9/J8+32xE7Qvv3+VkWjI/3uZpvBWre+PSKUvsY6r6o6L/W14rW9W9QQvakaSC2VeZ6ZDgeW1phOJ77/+9/l8c0Db1694vMffCYgrZxpee3ri7j/Nf53iBW9I1tiawyEAeKAN4bu9lNcHMjO4suRlmdSmEjzLKborVJaZetHr1nNVED0TC2OUhrj48I0FcbZkOqB0DWMGfj0E4cl8GwXeH4r6lDiL2uI3tL1jmoc0UHJsOTGmGHMZwDLtrOvq6JP2+g7TokTvhViPtHbkfE0Mn/+hvEwMt101BeKnDJqwA1bm/saTx9nw4R1AKCfQ4VKobUqybUVATThaAqSU8kCAFEYM7ByTqmGYA27zuNtIQaDMwURr5PZa86FcZwpyZDmmek0AhC6Qn9jic6BU2ncCs1Voo5H5ixYFWu9+GXXgm091RWOU2Z+ODDOB7KHFhrZWU6d49gHqIXj8cTpNGKd5+buHue8msEIvaj4B1J7IJfKVDJLSfSm8Wy/4/n9PcZFSa4YxrQwLlnVpTwxBMFFfMX45mbpsBI8pc1lBY1m7EXLoFUxelaD8lbke2mNVCvFWhwGq7QGlO5QcmaaZ0rOOO8JQSrJsj5OFaNeEBnElZDvsLjmMNUo/NyosARKgj/zXp3XdrJ+t2qqa1chgfXEeksi7BIQcq6v0fu17b5WKhlr8c4T1RB7/W4wlJxkZpwyJclqV2lnJPM1nizelul7Nyl8eWvz8j5r5bmS5Jue9zJXP1+U1ghqs4Gcd1l+bvWdZ7147Kb/VTV7XpaFimeeJqZxwrtGWhq1qPC4Kkg104QmZwquGaJbHULOmtkibmGVW7u29QTgAuBpslEwEEzF1SIyoWgTzxjcCs4ysJY4xjSaPfN3r/F0sYrPvwUi+LKTa/um561Bz53z+nZ+BH08HYGIxKEVxadWSbWSa8ZiWJKMFlIW83ODobS2YeRX5sTacrXrtaOgPjGl0FavXkO1VkyTL7S5gxGAaC1y27YCQ5tej8aIe48CTYuaXch1pPetl/wQNqMD4YmDvQAyPWlbOJeKr2giMfS7QLcXfz7vPdRETYXlVMnWklPCpITPmXEc+exwoJa6zUvX5EqT5DpPk6hoBE+/EyCRXMNyu5LFOxDY3GbWuaXzBusatWVqhWVptJpx3m2O8q5ksQ3TSrMUmZ+u6lCyCBmMW2dgsoBsSibbnKFui+qqFSuzL0Ejv7i7Iw8DvjWWhwOPzx6xufDZ732XJWeW04l5nLa5RalffYd0jfcURhPCNu/5EQn1YhS0/cOuc6FKTiMlLyynNxxf/5BlfIDlEeYF1ANzCFEuatMIwVFyZZxFf9qqnzXojrsWody0QjOZVEbePH6GsYEujOzjws2+w87P2FlxB7FO+YuAbD8B2/NRdwPG4fo9vtvREIBTbSrTqXZhpTRpGzewNWFLxtfG3Vzp00JrlX0fsVj8vsMOjuINqSVSW2S8E8VIYL7m1icP46Ju9hKXdYBgmpyOMdVqzkJrZjuVJcFlvd9ZeH+jprTVnq4Su4Gb3Z5xTjy+mXg4HonesEyB4IxiTTLOWu6K2cSF5PmV641QyVotlCz2oEtuzKnRWqHNb6j5RCkTrmQGI4nL14ZD3KLmOUnSRYwsMJCXBBTmlDnNiVQqrx8PvDmepHJdBLcQwsxpWuiHJCBlJ8qCRTuTK2Hu6w45vnFyLU0K5VVaa51VGmM2TmqjkEvCGEMuBauI2vl45OUPfkBKiUvjOqMWRaUU5nEk50zsI8NNj3MW7z1BwUSyU0GToMDKrXeE0IvTjVWeUivkrB90ccQogKnQGrlLwn9ViUI5cTS5WiOG5v7MFzPbbetbQ/w1ttehLUPrHH6/E3Z2zpw++YSbYeDl938ga2gp5GVhPp0uHu+aXJ8+2jZveltQ4W1wj3k3WZiLr9YoeSbPJ9J0YDq+YTm9weQRl2UBCL2j6+yGJLfWKEApi4fxhqloKnqibiIUmqmUurDMb6jN0vnEPhb2Q8fzXeJbzyw+ONXmFhxAqYlGZdjdcnPr8KFjf2fY3/UyZqnCcSylMS9FtbAbi24eTQKTGiY5Qq64KVOodDHQ8Jgu0DpLdgZypuSENZYY5MteT+UnD2NF71fauXIeNwWqiTepJFUZbWo1uXqZtqYdwXMIKMgJY5AVQFcJIdL3HaUZUnrk8XAkeEvNQWwVQVXtDKkirWejiHI1XTGsinuZUhK5irH7cRKwXE1HyCOmLbhWRTQFcFUU61upIgeKgKKcc7SKXk+GaVrEDi8XDqeJ47SQS2WeCzk3xiltuvPFWKH9SBJirWZXUNTXiffUFhblj5U35b3scKY0iut7FVeBWqTPb51j3fTH2Ik574a9ViBElRcm2rsion9GoUn71KwtWySRFZBWsEE4rHp8ramHahY3klJlDmqso9SG9aO4jBgL1quKktvQwKGP+CgQcbsmdT2Wy+T6lpuIzp5rlvZ1mmdqLjy8fs3x8MjpeFJpRra2mrNmaw1e16Onj7dbvO9Wrhf/3mYh53bbmnSrETEHaqKViTwfWMYHbF1odcLSqDUCUasIGV3UKuh5d6FlKlVlpWRNrq1uz2lMw1JpNZHSxOIq43jicDzgg3C0pe0rhgFN22A0I3Kl6+s1qqymFWzOVdxAqqDtmwzRoCaoidQSpRWmmhnzxJgLOUXy8ki1gTxPLMuItZaOPdZ02HzlbD91GLuix2VMtZZdzbyNnBWgekP4pVLiVB1BrH+X5diSqqVWS26W1KwInbgdsb8jszDsErtZ5Ah90Kq4ad1nLaI1r+tbk45MLZWSF6HbLIk8L6RSmE4i+FBrweQRyoS3hX1n8S7iECETa6CWwuFwwlApy4mWJ6pyumttnJbM4ziTSuUwLhwn2cTSnIwRXVDHH48zjuLW3a0crcg5Imt9fUJAEwin1Ud1B+l6+n4gp8TD73+P7//+77PMM69fvWIaR25ubvmpn/o2/dBjjeWjZx8JgCdnRdlWaiob0jZ2UfriFHIVXeGlZFaIubOrkpOhJnk7utbjdh3WOopplFZlJ7Ms5GURc/JUiKcJ7wOn00QI4Wx1hHqsOpGj293eMNzsZPOg/LCL7czWUobziVtLYTqdWKaZNM+8efWKaZw4HY+8+uxz5mni8fUrnDF0IZCjfLVaVXXnCgT5ELGiKyXWhNo2cIj81py/6009UgXYVsltpJZH6vSS4+f/i8PrH+BVgMFZS/C3MIjbhldrQYOhi0JFS7kyZ7FiXJbCMhe1mTsfo3dF50MnDodMmh3f/2Gi7054bwnBiVNUq9vMN/iOLu7w3nP/7Dn3z58LNkLV0NaKZJtprJKdrcncqRSW8khm4lAmvnv6nOM44/KB0CYwlsPDKx4fXuG9Y/+t54T7G+p05Ww/dVgXsa6o16p6T4vsEkb4W5r40CRsVcvdKhCt0gyi91shFcth6UjVUZonE6XL0vc8+/gFw5JY7Au620dqzaRlpJVCq5lWkszdVSZXzNQTeZnJOTEfj+ScOY0zj48jKRdePoy8ehhpreKYcS1ztw98++6W233Aq5YwrXF6fOR/fvaZUB3nkbpeO7lRK0y5ckiFVBsPY+FxEunQ53e37PuBYbjl5uaGu9u9IJate2tfbWkE12g10eoTaguvc0hJRA7ng8ohNuZ55uHhgWkc+eH3f8Dh8ZEXLz7i/vYeZ53wSXcDxhjmZcGmRapck7ZBs3BWK0sW7lLRQXetstJ413BNFqiiM1e7+hgaHZFrEsw5M8+LWi9J1eq96GJ61QjOmtS2Rcc5jLPYoKLXq7sEbAl2Ta5b9doE6TweT0ynE9M48fKzzzkeDszTxMPr16QlMc/TJqfoLlV7dK5xjacOnbB8Adh0UaWyztzXv66IEIM1TeTaWsa0hZYnlvEN8/EV1TtM56nOUerAmrBXgfNam1awlmJkIawq0ZmzcvVUt9eAyMRhaDWLwk21HE+eN48G7y0xWrxKKVbloYo4xVFcrFrCkFTLW2hqYjrhN7CTVQyEUWRfrZWlLSxkxjpzSEcOy0i0sNMO03L4jOnNDwnB0u4ydpgxy5Wz/dQhoy024BHCsNZqVAA+q0GE7KfWDeR68l9WriIwMRfHXAIVSa4Ng/GBfrfDhsR+bmQTSGlhPFpyXiTRyQGdK1cFLJUicrY5zWTlpy7TiSVlxuORw+MJWiWYjLOVXYTOO276KDxuJ3Paw+vMm4dHYYpMMzVnoQQlGfNNFY5ZJEUPMxxm8aa9v3U4L4YyMUb6Lgrq2ZwBrPJWNGxLG0Dxq8Y3T67aIlu7uqUIzymlzDTNHI8npnHkeDxxPJ4IoePlq9fMKXH//Dn7uzt8CPi+Z2fQFrK2U1sVAfNWySUxp0kSazlrPFrVLl5BQKVVur5nuLklxEgXI6ETqS6awVqvi5PbYOOn02lTBakX7egQI855+eAXAWnMFwn0snIVjuq5lVZy5uH1a06Ho2wufvADjocDyzRzPDyK3d7xpCTnqrNZaQ8aawSFco0PEO8k0nf+ZJCdLIpwtGoKHQN0EUF8uwXDRO8zt7uAWXpi9AxDh/OW3RDY5KU5jxecNTRvqU0sFI0xFFcpTnVfq+zEz7L4qglbrV53ItdWq+ASjBde3grSEptFcfc4HI6CL7BmS6xSrAqa2KgO92qj6IyjlMLh8cQ0zTwejvze732Pw/HE/vYFzz4SENXpdGJeMqXC69evqOXEctXJfvJYOf3WRxFYMCIEIXN82WyJxrXM1W2rG8AIJCnTYMkwpcZc4ZQ9Sw1UE6m2h2apDmxoBFu4vTe4bk8pifnmjlISNc3kZcTQuNnf4WzEGEdriuIthZoXSp6peaKlEXJhcPB8H+W6MA5LoQ+WtMycjkXcwY0UWYfDyPE0U0qhJPWBbYZcpUpOVfADpaESjw3rHLc3ez79+AUfPb/j7qZnP0QpyLQhVasYprdWaUm6kfVrYGHeQ+V63t20KtDrRmIaFx4ejrx89ZrpdOLzz19xeHhknjPNeIbdjj/jAt/+03+a3W5Ht9vRDT0gYv5FK8G1IixVQFGtVtmhpEXnBesxVJacyKXgY6Df74S+4xzRSQuudUWMz2tlnmZySuSSmUbZ9azUAoBh2LHb7wU81YlwRG2NcRxF63Xtv6/Jtp5Fq9djfPnZZzy8fsN4OvG97/4+jw8PlJxZ5nmDlq8Vuox7RXarUbHtqs/64cK88/38ozENbxrWNKJTnV0LQ9fYxUpOC+7hiDWPEGY+ftaxD7cMQ8ft7YB1jtIcpZmzrZcKnwcn8yoDG2IXlcWstdFSoQqy4FwxNydG5a0xzZnTaSEGS9cp3YEmvEWQtm4SVPtpHKk/1OSuUzYpUFeKzfnLuyDqUrny+s2J42nh8XDgf/3O73E8HnnxyXf49s9WYteTlpm8zFhTSNNLfuATOV1pZU8dItBvaZ3KquaMsTp7TzMlJ9l0VUHqOpfA6MjLeqwNlCbzyjenytwMb0rH0nqM6zF+D8YRvMMHi6fx6d0nYIQeWdJEq4W8jMynR1oVe0L5kqlezoWcEmk5kpYTeZqo0wFy5TbseDbcKCgrARlvG/PpQJ4qVME11Fr57OUDn78+CkCwrWgb5e42mEtlTNLZTEUKo+A83/r0I/7PP/PTvLjf862P73l+N2jHU66HeWlMWYC1UxZeevka+gPfOLkanTut1KgVAVmK+q8uibSI801KiWVZGKcJjGHJWWSwnCd0Hf1uB2hyVVH7FZFbV75Ta5IUl+U8G1PektVk6UIgxF44rNpuXV0WsI5aCrORFnPOmXmat8p0lS50zhGj7JzEjUeef1lmllkMf1cxZ+UxnKvYWskpMZ1OjMcjp9OJ0+HA6XikZPGYXVve5oIDaIwREfeNAH6NDxJfIm8oiUfAGVaTq7cQnRiHR1uJrgplxWQcCW8LXXSQA0MvIibWWuYMLRmakTb0ehobC65ZnG0y/2p1GxeIQMWa4y8ra53xt7ZpsFqrmrIrfMToJhClq9XGkgpL0o1rK9RWLpJrO8/jgOAD3gVyqTw+njicFh4fDzw+PnA8noi7A9M0ymWQMyVLFdTKxGJEMP0aTx1ma/NXUzFNlpZay5mXsSJgjYzOrHbiRJlJ+iO5iuhIapCaJTUn4NXmMcbhjBfwp4KYnEdmtiXSaiHNHm/ED7XlhVbSdj7qIioaCFXmsyieJthGjE7P8KqFVJbH2bQSFmoRWdCk2sENtyL1FJUs4NC1d2NswzXBOuz6ntubHftdTx+DSuJWcTTTyj63ul0L74JW/7B4D8kVSW45UU2hFkdOmWWe5E3ynhoD+/1eQBvaol0Ruw+Pj/ICYqDbDWDMxg9mlVNrqKuNvDDvIyX257YsUrmGnCnqCWtDEBsvtZozDXKV3v4yL/zg+z/g9ecvWVLi8PDIMs9Yazc7pt1uz83tLSFEPloWnueitIUCDWpOzONIzVl6DSXLh6DVdM6ZfDxQxhN1njC14taKQz8kY5ULDNTiBT1XRc/zazgbXeM9huGsJWpNE3i/AUdhlQHs3boLL4SasbVS08jpMMr86PQZpAd8m7nddQwBui6w63tptyZ5jlwqy1xIpuimTnba3ht6rM5hnfBgayPMoim8JtLaYBULMBjmOfP6zSTzVt9oqw6sF7Rjq9IuW1vEaEuwamVsrPCyjdIsVtCgWLprd0r9pJzT10Olj0EW5ip0t2XR6ttWnKnkfMW+P3WUVmkm4KN0A02UjVathTQG8jJTa6bmSe0+Rc9XKlv5mnPjeGw8HhFgqGs0K+1Ra2aoAv7J1upYzVKKnGimJkDGeqWsNosrhUcUMq0D6yM+dLRaCaEQgsMVCK4QGMUhKgouBTyt9kBhOo2cjtLhDD7w4tk9YMBJ0hcMhNB+cmukKnnCxyj+4vuB/8f/+R3+9E9/wn6I3N3uGIbIajHXGuAq1mundB4pSYzgv2q8n+Sqldq2r26I8HxrhCDakDc3t8QQdZcjc6Vxmnn95jVzWoi7nn0VfdJKoyq3wagWl13pPpqczoTnNcGq9GAT4u/qr2qtqse0RpqFz3Q6jXz3d3+f3/1f/5NlXnh484Z5mtSkPeKcZbfbc3tzS+w6liQiFM57ukHcesqSmB4fSPOMyRkWaRV7Y/DWSMvj4YF8PFCXhK0VrxuHtbo1QXSUha9bxUWnFEpJK1DzGk8YTUeZzor4fbQC9zc0PAvOZIKp7HzGG6HBkEdaLUynl8ynV9SSSKcHWEZCg2c3PdDhvSN2ATBYJzOwlCuTz1ibgZUyYbAWTY7QlULOIjghfLxMKZVlls5Lq3aTKZzHRJoXYrQ4V6ktErxh33u8l8c2az26dlloWwvaNrOplKnmnbwvSGKVdOzABJyP7PcDIRh2XcRSha+dGuMsxUlRv9ev00q7xvuJVCoYS+iEleGdIzhLrYXJB5Z5FKTuCVpOUuHpOTHnypILU2o8HCpvHhq4RhuQjNEKlVGKJE2sxhhKET13aFhVzsu5kEul1YZFEp6xYLzFBoNrFR920AwlFbpwpFoILguQyVluhp5+iNTmSMWJINCcGEcB++32e54924vAUBCGh6Cf/VmzwEmX8O7+ltv7G3ZDz//9//hpfurTF0Tn2Hde3h9tQlYavlRiEW34eTyQZktwX31h/ubJ9Tz01G8rh0p2q9ZaFX5w1OIVNSZ3qlVk3Jx3pCVRUsY4K0mGlTuoQpdGf2Zt0ZmLn5GFw8oCIU729aKE1+aCtoFTzszzzHgaScvCPE06B5XaUvw2Hd6JV+s4jkzjKMCrIEpSrVYxD8gZUqItM0YBInKiiUNDSUl0g1c/QE2sG6/3rfdynZN9AUpzjScIC5iaqXXBIGbj1SKJw2aMyQIKajPGVFoRRHCrmbyM5GWklixdnJLPoiNYGQGwfr6rxObFk7emleV5LGCAZi3ONaXfiB+nAeXiqcNNPXfZ1kRZSiPnilGlGVutbkotq4xiXaXgFJlsVjepDam+mqCfG9FWgU4yNgkY6kYnkvHMCpTRd9T464jjA8TqPdp002ascPctYL3HZdEisM5hVSlsrVhqk65KzpAV1INBOodykmoXUUFJl+drW0VYJLluWutVBCNQ0Yptor92SqzbGBq0tVeiTkzOiDAFBpwIWfjg1SjCaHdHkmqIgo+xxuJ9VEqlflnL3e2O+1vxFN/1kS543DsSnQrp2v5vVpy+MXydU/m9AJqkDbD+rH37mum8ZTd0JGepOWOtKsHolTqdTnz2ve8R+14H8A7nhI4icr5n0QZrRZxiXbCs0mHs1pJoqpGqaN1SZPdhHXgRqTgejrz6/CWHxwOvfvg5r3/4ucypShILu1xJZsEawyEXpuMJ7wNgGceZYRj49k9/m/vnz1imieV0JE0jZRwpjw+0ou1CxOD3eBwZx0V2gaeZOWWWJIldZO4sYVWzqkVPRNWhvSo0PXnchkQZH3jz2f+i5IXOW6IX1GUXPSE4ap5Ip5fUPGGpWBUXbGWGPNFaFQpCkVavs6KGk4tXXRTzNoe5ST2YcuV0SuRcNz/hVefaeENrIqoegrRZrdUNXJb7ymJqAA/GkhKMYyP7gqUS/LpYNO0sJaZJpPFyaVsLuhSxhXRWLBqlolH4pDEMQ0cMUGrg9sZSS6a0SGpGdMKrXIfOQrd7zn54Ts4Z+H8+9cf5JzpabSy56EbQUmKkRsWThF5m6DlhrCGnhVIzuUo3ZEqF14fMnGBM6s/dwOVZhZUMNEszUI2lrW025fqskofCsc6yvtKIQeia1VgKjdSMAJDcgKkOFyuxn6lloeUTJZ9w1tPHwN3NHuM8phsw1uF9EHDpsrAbenaDF7/tu1uG3UAMkZubW9WjFwlbaw273cBuJ/ahd7sOh5SqYoou4impSN+zKICp5EyrCa9gxq8a7yW5CgCinCvWJm2B4C1DF6VNmtJ28CuQYpkmXn32GT4Ghr5j1wsISdj4ZlN8MsZswv1GRc+d0987FUFvMncFtgq1yQBr21GNp5E3r95weHzkzcvXvPn8NcYYfHCqAFXISEtwHidqKnIyNMNpXLi5veHm7ob9fidmwNNEGkfS4wPLq8+pOeOaLGalNk5zEf3K2pinzJKr6AhrS8+HQClFNGB11nr2T7wm16eOG595fHzJ4Xv/H5bpSBc9ffBY78n7G2LfM08HXn/2O8zTAW8NwYvCVnAQ7DoW0ZrByEzdGCP621gdiax+v4DOuXLOHI8jy5zZ7Rsxdiq1KSMRUPpYhVxk/puLJdkMVG1lWVpzGGtI2TBNjeJlSpo9rH6vrTXGcWEcF0XkC6XHeWnpubJWAk6fW7pBYOm7gB080GHogcrDqfL5gyT6sko6OkfX37K/3ZHylYrz1FFbI+fCkteOn1SHzhq60BGcxeeFZho+J5Y0UZYGObPkzONxYc6GKVkSVnCWJeFoOreX2amMCVb/7CxGFbUqaLNsXRIpijqi6UXCs8ljVizYDpzH+oLvJlrxpDqRa6JW8d7e73b42NHdPcPFSKmFV29eMk+TXqeOGD0vXtxwf3dH3w98/PHH9F2PVZlHYyCGqB0Xrea1o7nUTG2VVCpLkY4OJQtwqlbRBFdFqK8a74Hn2rbFZOV+ru1Yu1WZThOio1FUBUct5VQYQgbUx020AWcuKlfVE9YFx62uMsZqtevOhwNb5draavAsreaSpEdftE27hrRM9Pns2oJurOV4zoVlnpmDZzqdOGnFmlLaaENldWZQWkPV98BYK04O5nyErZ3nrm/Z09XyI1vG1/jJR8tH8vTIdHxgnk7UFKjRi3+vdVQM8zgzjRPzNBM8tKpGEsFJctpGlfL5Za1gWSU1baUiLa5Sq3QsdFNVq2IGLjowm6dmY+O5rgCkejFqeAsZDBvasRTZzNbVW9UIxzElMamQVq78SXh9DUrF2qpUoRU1XHUxFSuAleKzNc70lJV5sVS9LnS4OIhH5zWeNETlrWi3pLI4i13UDcyCv2ipQsPVFQjUKFVUwnI22xx27aYJR9ZKDbVND+T8FNpk2daytxHrF6Outq7RK83sAjwsZ5oCn6RVLJK665fTLqfHh7BZc6ZcVDlP+OKSQhrOtg10K88tgivyK+l6rliX1XEqpyzjjaQiGLWQlpmyLJSv4bP9jZOr6ENmVi1Kfe+gVZy3dF1UuUGZQS0pi+F5rczTyDRPW79+WQSxa7RylZBPJYRIPwhPsIsdXddhnSXGqBWtnCjSOz9vL7z3lBAEEHI4MB6OTMeRWoq07JwlqAG6cYpKM1BcpmjFME+TqIaMJ/p9x3E6YkrBplkskeaZlNK5Lbw+fQyEaGmpYHPFlBXiLotiVtcfYyDNE8syKzRd3Byu8bQxvvzvvP7+7/Hd//n/Zjwd6fqeru9xIbK7+4RuuGeZDjy+fEWajnSdYTc4vDO0XY8bet2kyePVKs4ctTWc84QlK4ZAdFZzKUzTxDyfWJZCzpMAQLKjlAVjvCAqdTFKqZKTVLnjOJNVYKU2EQfAqISrMbRqKQVKFmQlLVNboTW5Vq1xW0UMSLepgiFhrKXkBlXBIHpdG2PwLgm1zYrbEyrXWBW00gVLFx0+9OzuX9A/+xi3XOUPnzrmeQYaWbXKx9FuvqTt/ha7HzBA7OW7cZ45N3JLpDxzOBaWAkvNtKbuSnXWzoil6phCJFWkWqplodV87hzWep55spEhgUZKC6k1WmnUVFQbAJZsaMVibIfrbgh9pN/dstvf4kOg6ztsCOx2Aze3tzgfeHx45PBwYOgjn36U8LbiTcHWBVPOalCNRvGBHLzOer0KWpy53vM8cxhF3Gcej8ynk2x2k5jQjNNXp3G8h+R63mlfRmvC1fPaagrBnyH/uvrklDgdjjSaoma5sHtb56jyuDF2DPs9zjn6vqcfhu3nGCWBhxBE+3cFkhhDy1mEI1pjmWbR+l1EZtEqCtl5j/PSGl6rD9MMlJUTmMjTTC6JVy9fUVvFW+itmATUlAWdVyrVQrPIzss5vPUU5ZxtSKVt5yYkamMg50TJgjg2qqRyjaeNdPw+48P3ePP59zieTnTDQDfscL5jLh3d7MjzkcPDiTyfyMlim5D1O++oXcAimAFj1hGIWGhZK5xtAW94MMoFTws5rx2QrDv+TGtF2m/rV9XzRdXPknZhtmrVgLHSbVmBSbWILeI8JWpZtEpegCYbVJ33G03MVKlorW0YLMlW7BmWL6eug2oNxjmckZO9rAL/rUnVGhw+euKwxw/3NNt9uA/1T2gkXVdSaWdWtBHZv5tdRy5RbD5DwFkrnqtuxmTI1co4qxiKETcmQNq+tm2Vn540SOdC6Jhrcl3FfyxNkLpKaRMKubSsBegk6natykYgK10sGI/1HS5EQuyJXY8LYlhuvaOLga7r1THqwOE0y8+lKA+9YsgiylMyOSU5R2umVUURm4Cxq5mA/JcWkWBMOXF6fGA8PEiXUxkq4/yEybW1epFgz78X0Ye6JdR1BiVtUdXjrWd1mrQszOOoMmxG2QLn1tcSJCla6xi7SNf1WGfpu26bT8UYtHqVtoGxQnWJUfhL8ziSU9pMyVckcwhhU2GKXcRYw3yamIqI6BttX7RSyTmxpIVmLSHKPK2wDvbbOYEalaxrommJUZm5rH9XPuWaRK012uqG4KKetK++6cdzja8RqzBJ1wn1JcRIWOfxNZPTJGAlBQ81Y2nGidg3Yq7cNsS4aIuUKpKgVW3jMG1DL5YiySwtWatQZZ82ua2pRRCUxlKNcBSzag3P8yyJ0CF+w0a9g60FRNGsqRes5D278acboskt9orKbUVAhGckfxN7SGO2xHpGS+ptcgZ1tPJOXJ2CN3gvdCbyRJ4O5Gvl+uTRimC9vfdv9WMFtFaZl0T1bePZp1yZ5sQ0Z5YliztSgWrzmZuvMrOslEiz1qLn5Cm0SUEoV5QtoohgK4dwHnEUOUdbXQ3SLzAnTkwuBFOjYwYrCHurjxt8IISi2tgBa/02Yis5i0mLUjSL6nNbY87Fj7XCMuFsatBKErGLnGg5nUeIrUGFnJ5QoSnnjHPufBGzonWFH5RLVi9KuUJlJiq785ITyzJTa+X4+Ai1KvgInQVV6X+r3u5qXr5VmsbSdd1WsXZdt/Xm+35QbqGaAwCPr98wHQ4s8wJVDNpDjOxvbuh2PV3fsb+7xTnHm5eveKWvIaVELYmcYB5HnLfEEPB2RwtSmWYrbZIi44KzaUAtQuh2Im9oi5XW3XamyWuOweGigLNub3q8c/y//r+/900/nmt8jTg+PkDN3N3fMQwDVrsZDcuSJ05JOMi5VZq1VOtprqc5S8YxFwE8iNWyIZdGyiiloZBKoSGk+BAspVSOx8R4nMi1CWoXyK2x5ESl4ZzBWQ9NnETmeWKeE4+PjyxLwgdP7IIgmg24YGlNvSx1pio4P21DS7dQkfYK0AhGRxnrzlCq0Ton+dcF1aJ4xSVYSyuAsVjj2HWC5A8eggNsoY6vOC0L6WvMqa7xfmJZMv3QMww71V4XkI41MKdMORyJIWJdIAbLccy8fjMyTguPh5lpEvH7aqGajLVO5u1WFJmaExlOa73SZ5RKeGE+YlvDO0f0XumNFtOkG1iyqPbRzoktFz1XWqb3jS56uhjoo6OPsiEVYFIjes9u2GGMp+9PdHEQNH9tLLOM604W0uzUMk+oQ6ZlnBEcj/Myl6210pLMVut0ooyP1Jwo05E8jWesQxO/468a76UtvH5t3Kq27pgvARewblu2ynUdJKsIxTKLe0bTdsH6+1qK0HNAgSF2a/teJte+F4h1CIE0LHjv6fpeaBHWME+TVK5ZK1elSoQg9+k6ORmdd0zHk+gJl9V9RGS61spBaEX6es1axSDUPnWkq7qpKLQz1+xM7xL0pnAcpIXuDME7+r4jhCsI5KkjpwUaG05g4yw3aKWQU9W5ZTt/5lbQkhWrRtJrijp7pBalu8xJwWymgoWSm85YC6WxGVGv45CqoDtt5CjFoWwL07IkGg3nZQOwgo8aqBhJ1US6go6MIoNXYBTiMHZx3CvGoekiCHJ+rwkWJdjLaKOAEU1kr0k3OEmujcpSZnJhYwpc4+liMyDRxLautyg6NlWRni2lURxiHr4UpiWLaXip2u4vG0gOdYTZ1mEjspw0uzbrpGNXtULkEtQqc9d1JLZqsMs4oWw5o7aC8FxXr2OjACWj14GsmU6R+N5XvPPiyqaAploKRUdthno2eNfrsVUdoSg4S3AuKquoFWvLqk9QyoWAP5oPvlq8H+H+NWEi7a+1VQxsRtA5i67wPE+M44l5SaS0bHtlWpU2E2yC+ChCTcr2tiVvY8xGXKYUsvdYY0jzvKGSxyjI4xACsRfJxWWeSZOI5uecN0Pp2hq5VpaUmOYJmx2lVkIIgj5bZwYIkT8Ez9AP3D97xjD05Hkh70Zpc28ayJVpnmS+q4nVOqE7eC9iFX3XsRuEzxi9JXhpg/R9lA//Gk8axnd0O8f9c9GSTlkWGlMaLKsTU1MVGiGpex9x3hH6PWG/21yajLW4tGDTaxwzWReOWqWqbCzaBhOqhNHrZ7OaU5Rx1jmriDwYvJ4/wXtRVTJ2Q2WmJW8V5raIgC6OZrt/a3Kerco6sG17dX5rzm0+DTk6oBmsqjfZDUAglmRiNiGtcjAUZ2nGcybBX+OpYtjv6IdBq1O7zV2brqsiv+o4TZl5qTweRh4PJ8ZpYVlEulCSmdBpTAOqY1XqlT9qR1HhSheyFdu5IwnSbuOKzVnmYn2vSuGhZazKbpacmaeCbYk3r17S2YKPkd2tAJtaq6IF3GC/67m/3RGckZnsZhcqNDprrG4EDM5L0q/Nkqug33NKjKcTOWWm+cQ0z6InX9bq3KpohQf3hDNX3YpsCfasjytEd++9GJwvswjYn0YeHx+EgpMyoogklaHAnI2+6XIimHWYrDPPBurpKqeL3kN3Umb77tRA3ToBFq2LjmnygfddT4wyHC+1isqSgXaUE6HkSuw6nHUc3aMkeSPArK7r2N/u+fRbn3Jze0tZEss0UUtlnCemeSblRH7ziiln2cF54YX54ojBU6yRk+L+Du+stkCcgLpcUeL1NZ404p6dh/2+p9XCw2Hk8TCyLJl2OJJTkgstRu14REI3EHwg7j+hv/tEgWsesLTlAZ8SzQhSvNYird8mM6515+6sF6qDunyIA5T4b6ZsSc4JAM9aYvDU2ogh6GUioKVWYKkLJRdF9fqzATqy43dW0PWNhvfrJuA8wpCKRBKstWfhfkEk63uk66K1ammmlXZatbdbT8bL++A8xnktka/xlHF7f8/N7Z4QO1YJQGuFMrViYUquPB7lnPn85YGXrx6ZpoVx0uQKgNrRCZF6q/QAgaZXoUvCBQvNqFdsE3Ul70WhrLZKyXKON/UYphZqnjXBLlhTwBZyGhnnkTJZfugT6fiKYb/nY75NP+yhNnZdJHrP87s9NSdxp+o7rPU453GxwwevVNC4tn8ELAgyNimZeVp4/eaRZZ5IeWaeTwrKajL2cI5huCF2PeEpAU1rxrps/555d7y9O16TsCbilT4DTct+ldDSAboxbO3gFYG5zot0MKscvY0rsB1SVpCGIDbOak5On3NDSmpCljZuU1cRqb43XUqzvczzyzYG52S+S234EESovBSxd6rirnB5e1RmS7RbVRbSie6n94qsVn7tdbP/AcIK9cXZAs1s4DhjL3jKRiUAnUq2qbORdQHje8UFeDAOWxaM1XbVOtZAzq22lpZaUZ4lAtsKTOByhNJoGwp+rY6ttWdeLI1aDabIYzXTROXsnDbl8M3F821PuXKv9fnXa3cFuFezFStySa3i/isKXtrSGKNtck8zXryTXcDUiwvnGk8S3nsV2rGbN69strbakmYEtCbo80JK5y4JgLhAra1YI5KHZsWJyAlz7ntoXGA6WQuaFfv0Fjf7wkWsnVXpzHr+be3dpiMQiwtB/L1r2dZPjJGCJwacFbebVVthq2CtV4EUoyIXbTvkFSckm9qq/OCqM2p0SiLXu6wHT9wWXsUX5OKUwWNrRipDbQs8e/aMvu+Z54Wh70kpb/OjtRulfaetz920PbbSEFLO2v8u+gacK+W29vJ1gHQW9Ocs5l/qlrhXVxpxwvG4GGhNuLYNsKXhSrsQnJDnOh0OFDWd3u92HI8HWhGd4VYbp2nkOI6UmhnHUXxijUDgnSLdypKk5dAq43jEWsOSLJM34kwSoNarLc6Th98z15mqAvzTnJUn6OiHHqzwqEOw+h1oSQQdMOB7jIu4uMP6DuMt7vT71DbhUxF3GtY9oFYGxmFCZMmZucy0XPGuEnzDu4YzlYacC8YZTPNYX1UrVSDJJYtKE1Sw0sqqOlAV9KRWyF6Q80ZnWcYCrel1lUW03zTlQ7pN+Nx5R0D4jT5Gabc5j487rPWymbARjMWHPS7uZVMR9hjfka5o4SePlbffmnQ1ZM0TCk2pUkikVDgeJuZpYTzN5FRkplgr4ooETpOLsSsq3ahb2ZoxNVG+E1YFRuQcWzd/IuBTWyXnWavYTFZnHtMSpon6mHeW6DqCt/ggaGBj3Yakt9YxhCgp49ktXXBYA/e7yKBSpbub/qJyDVJ0qX2o4Cb0GH1glwp+npmmI0Xb0rVpnjEo5efcMf0q8V6E+y933iLiIP11Y0RRoxTpg+cs/Ly7u1tRD8krRLrJjkRfdFEQkwCaVlKyiPyLrFfedli55LcS8KZ4pOjlskK9YUu8RisCjME4iwueECNLSsyjoJd9M4RmFC4uC2EthePxwGkRWlAMgYfdHgtiJ9fgOJ44TqO0/BDFEq+C0tH7c3LVBW08HYCG82C9vH/d4JWmc42njOpvyVPmdDhR88RSHKkK1aYfBE1ujCQ9azZmnJxzxtLcAKHH754RuhvxuOz31HrEp0T0ZmUMahUALjiM8ZgFwiQbwGCr+MQ6pbQ05W85vW2pG0Wh1QY1yQJnKtS1Ss7UakQrNcmmtB8GnO+UCy7P31gR8bMkVNdozQmQxK27/w5rO8Ew7G7wXY91EdfdYWzE2A7rdmAcvr/Dd7dCIQo9xkeW6fhhP9g/gRGi3/Sn1+rM0nRNFL3olDLH48R4nBhPEzkVTTwinC951AqYzapAiVX3Jh0noDiBra3IWmyptZzRTk1DkPY50VpRWlvShDtRa8Yi4g+GhveO3vXS0QsR6wPGOQUHVjpvGHoBHnbBcbsfsNaw7wKdKjl1u7CxSpzz0AxLSjLmga2zaH1HLhD7GaxjmmcaC60mSluko1kbTr9/1XgPyfXt1mdrRhPD2wn3UqKwliiJ0BUBPbRGcYXiNElasyVXa6x4tFoViq5VZ0VZOIXZbNq8xpptl15Wh5EiO5S1slUTTO28NT0+1StWek4xBrvBN9tGDWqIZCMGlrQwqem7Q75osMyrmbrouGJkIS2+UIxWFJvohrb79P9bP2Xrq1zjKcPYiHERbABTsD7gW9iAPHJWV5xJrBq9jQbW43ynu2sFPohZpXxXJRijqNu1s2I4t2LfljC8KAxQAIqCMjb3kLXlVdZZmtnQldviZi0UkbHDXLSV1Xwd1nbwivi3Kqsor1dcSsQwwweZZfmux0VNrkEqdWM6rOvAeLzv1I3EYbwXsQl3Rb4/dWzjhHb+jOX7ithlQ4RvWgRb52+bEUhS1fXI6pisoYDS9bnkCdefLn5rNmQwsDEuNqnPmvVL/m1M3caGAiIS44wYO2IXifFMtZSRnNNzmc3kIoQom0QvCdU6ux03bR1nrPKHVXnlavdZ143AhVtUaxjlfLu8Crd8tXhvlevaFpbva+VqN/CDSLJ5ag10MZ5RkVq51lK3xFhVLPmLlWui1aYoTv1Z9X1FHi5RiwJCst5P28lbdVxEg7KZRsoJ26RVttvt6GvjZncrfKbHA9ObR6mmVUGkUslToVqhbeSU5IPG4I3IxCUFo2DA+XXBs5QpEpwT8+Bl0U0C2p4zhN4TOqkYusFfk+sHiHj3U9R5J0bSeaaPN9LatFaSiHW0vFDm17SyaPKRhNrdfptu/zHGBWzoJUG7iPF7TJiwoRDDI9Wo12+RFpx0XgRNn9VJZJ1lGYX9Vq1yTQh4N1DxdLuEcZ7sLdZlaJUYPVErFh+jWjlmDocTKRWGoWMYpAIVVSih8qzXVq3gQkdt0PWR0N0RYuTm5p7bmzuM87S4Ax/BRqy/wdiAMQFrI+BET9jLRqLZLFZ97toWfuqYlwln64Yla81Qm5owVPm+JsQVw7J2E4WCIshz0XF32uZfq0dR5lqJhJtO+zbGF3UwY6AVQ80CzlyWmaS6BmkZRZBlrVxbIVgjow9nGYYdHz2/pes8n7y45fZ2IARFC8dA8J4udBdod9k8BudVnlPWX6zOTPVYBUUsuWaeJ5ZlYZlnHl6/Ii0z43hgOh0pJbEshTlJ1yiXytHNTE/Jc4VzgkVf4LrxWa3gQNC72zw0yvfVCWZLrooMLrVuyXdNkiUXlpQ1oUpyrVWFKjQBp5Q2m6BFE1jOmSWJvmvW264tjFwLsbWN42rUkJ0GD6kwvX7QxKrJtVVSyWQqyyzoZ2PAG0tQYgLaNjHGEKIXxx1rqPMiFl7alzGACRYTPNbJbbs+YL0h9oGrK87TR9i9oPlIGh+peSHunxF3zzDW6xw1UpYT88P3KMtJWqxxwFiP75/junsUEaVb/gB+AL/D+ongA1Vn9011gedlkU1hLWr8oAvexULVhDgoVXHo8VVMsMEqqnemtULfBfpe5Ozi0ONjYJ4Xci4Yk4hdIHZRKklFbtJk3JFThmbIaa3PAy7uCV3Hze1znr/4COM8yfUUG8AEjNuD8apT7IFzK1kazuJ/W81VROKpI6eF7M8tsIYYiMi/nXy1umFdVhlCQZ5X0CLEIkpJxjmsJlmapdZVmlM+aUlhXORs2RDWC+pPXmbSMslaPa/JtZCLnL84h8fTjCF2PXfPnjF0kRcfP+PZ/V4U9PpeRISsJTjxNrYb1cdc+CY3milbhwgE17NK3lbEuWccTyzTxOl4YJknkT6cR8X4FJYk6/CcKrA8rYjEuc10ASiibon13IlX6NXFj2/PaldJZ/FDrfr3RsNWrXxXoIbOAGoVGo+zjtqqSsoVtXET1xGXxWWnVqEiOKuwcee3DUHOWaUVLc4GAOE55aJ6r6ow9Vbb420UnbGrSYgBhb2LZJd6Y3qLXz1ovciHheiIvaBJY+cJ0W2V7rtazdf4yYexHuN7fHdL9QkX99gg/pHWdxjXYX0TwI6x2hq9/LtXiK3Vc9Tjw57WZUzJtP5IzQuZE7acqBRaEw9XAVZ0OMD3t8T9C3HjqbI4YTy2v8eEPcYshD6DmXHB44IslNELyGr1CfbRU6uaVxQZsbRaRa7zQuBFcIiyENeGtobbhpw8gzgatAJVFH/SkqQdbayAnzBU5+QaMygQq1Kn8cN8oH+S4y30N3IOKRZmnYsZmrReO0+cPT54Gk35nfIAMjLzYqai53U7g221TlnX9XaxyretqhXKmYBAV/3sXJRuduFjbY2htKZWdKtIi1XwgRfMgXOqPW/XuQmwjmxEfGVjk2iBXqqAZFtrzMvCPMuGdhxHTqcTaZ7FnGWZyWnln8uIcvU/XovAUp4wuYYQCOo6w9qnrsIj4lK1qSo6q8k+Rz64VeVDE2Wz0nF35/6/r4EVKh3zOk9VFHGrmgDLVqWuH1RSKzsROk+KjlurXKl+xRcTTodHUlrwPtDFDoNhPB4YT8JtTElEzxuaRI20GazOHbw1RCeDf+edEJetwUePD5Jgu6hC2c7ShSCD+D7QD520QnwTeqRScdIVLPzkYcOA63YY5Z1aH3E+CqLXS6vXhD2di7SyqPSb8Ahx0gYWhSUVUAk37O5/lrafSLvXLN0zap7hzUuyeUmdJ9KDtKJ86BjunuFjx82Ln+L+T/3fCKET5HypYKwkehdJ84iJn5HmSc4zq1vYcoJ8xJpGF0WKcAwT01gwZkLcqRIYVJpUBE8MRqpNI3rHrVXmOTOOiwJfBIRC1RkdC2kaeXj9Q9I84S0EJ7qvwQXR9QaMUjmW5Vq5fpi4oEcWWAX4BVZnMbayv+3phoBxlSVJm5RaWKYT1kAMgb4fqMaSjFMNdbaWsNmwNZdCP+dCpOSsFWplnkfmedQu40zWRJu0gi21gXMU21iMJfmAD5Ha9TAM0hGKEdyZUgTa41N6TW2ZM81TCrS0LMxajR4OJw7HI2lJvHr5kuPhQE4L0/FROzkZ2qKvR5bjVqGkQspNK9ivFu+tcpW8ed7httZoq5Zka1KJsnYLzkpLq4OHtfqBbVwqebzVbqs1cG5FAp/lFtfEuqpAreo2PnhVYiqkFPQDDeQkWseMk7yHRi7+UivBZ2yTwX1KiybjtCXy9dVZzNa2swpScTpQ9074qsaai8G6IwZR1QneM/SC2Oz6yLDvBIhlC81UGpXSMrleLeeePKzDxp5gpK1pNOEYY8H2YDzNBhUgF/k4awMYq/KXupPWXa51EdvfQ90L57NVSp7xc8UeF0y21OrJScT8XdgT+h3d/gX9/bcJcdCZv9BrjNIRbBhZUsaG6bwhNFCmV5TJY0yl81XF+WUDnJMgJMvFDnwDsijQCWME1EEjl0rKBZtW2tsq7CJGnmU5MT38gHl8wFvovOjWVh+oLih4SxbflK+CKB8y3pagXWtK6S7GzuGDY54jsY8KSpd1G1BnM9VPV4rl+ZHMW//fgE0XCVbMIpLiZ0Q7uLZKykkplSvFsmJdIVTRJM4YinFU62jO08QNQqrYC8fyNTcoQlVGim114BFUfCmVZVnUqvHE8XhkWRYOj48cHg+UnEjTiVoS1jS8U0x/M2uzW2mjUsx91fjmydW4Mzl5BWIgH+CZKIwKMzSabWIDtH4I7VLdaZ3Z6hu0NpWN8PneduUw2o5o2okVlHKtBae76NocPheRfKuN5DM5SCVgMXjZ2qA8G2qBZZLnzYvOARClKec9zaialFavYTUPCJ4hyqzLq06xtevMVZJr3ymKzYlCk6DhnIBJlRZRdVMhVfE3/WSu8WNFAzS5brBdAERYQpC7Orcyq6ycogyx27m83l/s5aTq9MM9pix0c2ZIDRsOhFc/EFBcCLgQcb7Dxx2hvyN2u40KVmshzRN5HlmmI+PxDct8out24ktsHdZF/O4OWqakR/I8M40L4zgxnkZWlNR6ra57/xXRuQqmiGUXMu5ojVYSeZkEDOIj1ltqcMSup7WMWy2+DOA7mhfO66q73K4z1yeP1fatbsnuHEaLIYz8bI0hdoH9zY4Yg4JMRUQnDD0mBFmLm8ocpir0riYSmHZtN18IQ5y5rWdUvQ+e3vRUGj4GSjvTKVurdH3Hbr8jhIDve7J1zM3wapxJb0R7fQgeZw3RGnr1iaWK3Sf6mtDiJ+nlO00jp+ORnDPTJNV50mSb101mE3qSTEfsmbChxaAxbbsuvmp84+QqWr5exMhbo9m6tcUuk+tbSbQ0fePblkgFPbsmWTbwk/TQL3v5Ulk2bYW5ZraFQqgEK+JYqs1a0ZY1yuOSynbsO9nNlMI4TQKcygsn5c/O00RtC81UbLBE22mpCmhi7buI946hi9zsd8pn9VvyjEpmdt6yGzp8OMuEgQCkippXi65c1dcHxV4YWV/jSUKqNgUiAasUIKDtIplFNauAEFQKoq2bybd9eKVd3AMi4GCHvWio+jtcfMF8esPjqx8wPX5G6Adif0Psb+j2L9jdfZsw3GzUgLxMnL73/+P48JLp9MCrz3+P+fTIze1HOBfxoWO/27EfnlHyzJsfnjg+njgdDrx6+ZrxeMA6p7xaqxrFnhUwVWvBGYuzTUZcRr04WyEvE9PpAR8Cu9s7ui7iW8d8e0eIYbs/AGEHYaAZR/U9xkbqMj/RJ3iNNUpKZMe5klsV8LSjIEWFxQZZ1IbbARdkNj/se25ud9RmyKajmiBVXLOYZsh1YiwTpRRlSqxG6PLYIv4jCbOpzjo0Ytcx7HcyBzVNVMTaalQO3dCxv9mLm9ntDZMPzM1weH3APBwI1rAPMga5iYFnfcQbAznTUpJKXG1HJe+IxOI4njgcHkSvWGeuORemZWFJSY9RVmFrjGyuFalvVPbW2UbzYtP4VeP9oIW17y6tXrslU4NllUYUeqmQ3putWpVWaj0Dms4uIBfwan0G2Uq08zMqKs3qTmVNsEIFqhSB7qpfoHhOWmMpplKd25CZNhuWReSpVwRlVT7WyjW0Vt9wUOs7EUCPKyS86+j7Tn4XznSINbl6bxmGjhA8Z//bRq5ZjCZ0DRcKZFu9r6/xoWKtVrcPQRW91sSpuoDnArVd5tSLxwGFueniJrqsLgogqZSM81El2lbuqpd2cuhxvqcpH7Xq5jTnRE4zyzyyzCdSf0MpefOz9LHX88iSS1XXHbFNdArykE2s2xbbsxDM+Xy36yUH0Cq1ZJozouCkfFofgphU1ApZcRauo/keYxz4HdgOypXn+tRx6VYGvHV+rskW2M515yxRfYxz6nV8BlRPqqoYod+bAo+KXhOFVXlMEERrZ+Qs2wkgeJQYg4wfhM0jRZYugF3f0w+CBrYhUNRerCyZ0jLBGlo2BAu2VgarRUhKtJQkMQIhaNGmXuFCt1koJV8wSvIGUtpay1+26l40T9Vp8SvHe6PirE1clHqjXHldfAzOaBd+zSLAJVp4RWFdkp8vNYlXdLFQfNY3Yw1tcemCt/Jut6Ssb4gag2kLTyrJUgpBv+ecle9XSIu4+LQqJ1FVY2nRlJXKddCE2nWB/dBhnd1mq5JcnRKd5WdrLaWcB/ylqroUAmKSIzZq6XVFC3+Q0IvprX/LtvDid23705qHLzsrfOHcVFy5USF962hWTdYblFIxuZCmGfDkeaKlWfmkIo1jGjTlSOd5Zjk8MB1e4Y3j1O2I3Y6bm4Ew3OPijv7uW6RmqfYN3asDpUqlGjo5T3dDzzAM1Fbpd0eWZcI6T9cNOCdembe3t7J57DsZb3iABHXCmEqIOzA91USyVWpQGLC+l9aa6zAmUOMVLfzk0dZOmI6aVpqhEfCaNY7ajAKdoNW1qjWE2LHbi79wmSspCVVyTpklN0qrhL7Dt4Zr2uEAvDE4YwT5myutGoKPdMHjnGW/H9jttHLdOneVReewIXhi3wlCOUa899TWmEoiZ6l0K5KYi8kkJziHmhbaMmOMETtG7xTsKsplSVHARelua4dJHM4crRqKdjmNUcTxNsuVdT94YX20L0vAPyLeS3JlTazn/7H+tC06WzV6zv6XwKQ1LpPr+u/1GdoFKOrLSoVtPIbQWdb76YRBq1Z5Pu+FniPt5L2CPNbkWs9+mVp11w2BtgruO4ah2wBMXecE0BREl9UYNUB3Vo9L+VJzoVRR+hB7OmkLry4jTXrhm5fmNZ4ujJHZyvkXfOnP65iCi/PNXCTldpmgL89tneU26/XLUSpCxTGJeTxRSiONJ+oy03zEKFqZZkQudFlI44nx4SWnh88xtUoCHPZ89K1vE29e0FpjWCrN34L/jN3nb2jVEWIUnqBz3N3dcHu3h9aYpiMpzTjriLHHWjG22A09zlmGHkKnnpoklQMNdJ0Q+ku4p3Sf0GzEKGpa9GidVLBX+cMnD5FedRsgZzNJMQZrg3wuTRPohmeRwqHrDMEHcqlMjJi6nB2/FlEui8NOknErqgcMXtWcWimUpdFq4WY/8OLulhg9z5/d8/z+Howh6fqXcuZ4OpJzQuhrssibEDE+iBXoNFOXSjXijWwt5AYJoWyWZSLPkxyDJnIBUi0bf3xNtLWpdnJr6kYWqKWQFHMDq3HBGfFsWV3NDF/HUeU9tYXZFpqmu/x1TbmUR3z7Dm9Xrm87g6xVarv4Xbu4c9sq1HeH9V94KrOl/s2N5ix72PSxVNC6rLSgutGEJLlqW9ucXRfWD8Y5h/dqq7RyW1VU3erP8hzSBl9fyzpL+wKfVYvWK8/16WMTbnhX1/lHn8Ly83ayX+RSAxv/7+26Flhl2BzWBxGj8HFr7Ur7+O3uhdH7WCtuM06/rHV6jahcoRXqmgs9Lu7wURDIcZnxIRA0uYZ+T+xvAAFore3puH4PQa31DNaDcdpKXG3sjBV1phaxrqP6AWOjUJKs3xZrLmfY13i6aBc11tb+X3tjq2PYdmP5vf59ZX9UFCh6UQzlUvCqFYB+xkonFf0UY2jWYCm0aokx0PeRGDx9F+m7oAkecpFckbzFsD7mubMJ4BDdA7t+rSO0re3MxqXFoOO+syey8FXPHrIbXUireqGLbXBjXX9XsN/5ut7awl9jXveeLOfW90UTH2wz2Lfam2+Nss4fuDEiDvGuoMQKFFl/Xh/r7ITTFLAkcoMbEEpuJQlYpbDE49Vj4rnVfK6KJUqp5NKxSiWusoltOw6zJU5njYCVFKW8WhE5nWkZBYpk/bCkv1/PnFl1srb2vACvSbUohegaTx165f4hG5s/8Pq6XLP44rnfWGk3gTjsef7t/wPvvVYDtzgfuf3o27igLWEdhBrv2T//FGMdw91zrDPMxwfisGN3e4+PPcPdJzTXAYbu5mNsvCUMd2ADy3jAOo+LEWsdu13HbhCwVcmJUjMWEWQRsXbwTr6H0HBeFqJqMslUSvMUs6M2T/O7jQcsFpHri23A2oa7xpOGuhtZFTZxOs+Hc7EBhuAMTh1stixqzOYY0wdDKZa0VJbpxHic8LEnFwGz7oZIHHqcNXTRE4LFGeg00d70kef7XgCgwROcqOwteaQsC5RCaAuWoslP1kXTxDy9tgauMXQeaxrBCmK3c0ZcxgySzK0g9WXspvrAVUBVtRTBDOjvNlOYeVZ3tkqeF3VNqxtw0VnZBEhmXTffTwxo2j4ws05eL9SZ3p1h6a1hnY2uPFf7Vkt4Q7hdLmVbcl3dHmQHslaw6xOddyZIxWjOVWfwX3zJG5dpS4KSsFdbu3VAv85yZTbRUDtBWivUmgClMJi13Vy376vSk8g26pyVtTI/P8cGof8aSiDXeJ+xJtj1319jq/purBvPdYyh14S1klxhx/2nP8Owv8M6J2Ak5xmGOxWvWGsCsM6zu/uI0O/YTS+IXU+aTrgQCLHDeU9/8xGoqEXcd4QddDfP6fbPKHkB69RYwG7AOzl/Vy/NtetlMLVcLDJV3Hmo1DJSykzFUWqgNQUuuU6MCvQ63LiUwFXK8+lDzjNDCGHrkqyAo7WjYjAiyNDeqtM2nIwx0AVDKYaTreR5ZDye8LlQmsX5QD9EYid60sMu0nWeGBzPhkjnHbvouO8c3hpaTrQi/FbKSF0mGdG1jFuhTYrwNK1gmqchAiVVfb+NkTU1OCvrL1B1Xa61qVZ3ZkMLI1r1uWSolVIStay4mpmsevRZk+wla8N4J0NFq82s9vXWgm+eXNcyepuHXsxLL4A5XxiTXoKVviS2dvDW1r1srZkv3u5iJZNfSTt2dUtYh/Vnrqwcmrl4PAvS9mrSxl1RbmsL4e2z7+2XIi1n1k+BbYFpb/fv1+NoivhqvJ3Az2bC17bwU8eaEt4FJF1u8N49E7dffvHHtycZF7/aNpXeEeIANWOsiN5b67AXVetq6wUiOu58oIWO0N/IfZzHR7F0tD6yXgerGbqxHhfiZmqOtpGtF/ceY1DNWTm/t9mxsYIOpYEVhD+olJ2OV7Ae2dK7c6fqrRf+JfvqazxJWCOceqebqW3U1NpFB/RSN+ACJNq2G2wCOaLla4lBqlsR7GmkZWFJCwFPa16LvHORYVqlVRFQqiXTshit5LSQ84JWMnBRWNDAujNWBmN02KjUxdagGEyVK7OkhZLUJzYlpQG1bXNYa6Fmxc9UMSW4LGJqbdv3NX+8m0Y3nM/XWJe/cXItRRzcN4TypZ3aNjd6u7UKyMJxkUTeTSpvzWLfeak/alYru5ezrZYxqjDiFGyk9ldbobse8gaeQibkrJ+3qkDls1SidarKZA1GRfmNVrFrIm6tnD/IWrcPxlhwiLerq42UFvEWbE1tj+T1i1ftdVn6oxpfef/6JTc0iJG1NZbWIiF4anmuc6hV/N6rTvG6YxUdNvG19ITY4bueWvJbKFAf4laBrJts6z3R3ugGcV01FE2/tQG53GluO+G1+1O3YqfRzP7trhBGkyysNnZf3FV8g+r/Gj9W7PZ7huEGH3rAsEwT8zLJelSyioZIt8Q5r2YpZVsXG0KbDBYIltvB8+mzPX1wvDkt/PDNG0qDWhdymeliIPrn7OIejKMloXulXDnNFUujpFm+SuHw+Mg0TTKuM3L+ruYstEaMkRiCjPv0iHLOTPORXLKuwYqRUdOXVit5mSk5Y9AqFEmybaVetopBhFmWJalkbhWj+NqEYqaA1LXjuWauWnlas/SmQ+L1DViz+9uJdasJLmao5iKpvV2pvQts0p/WJ9Qx1BdvY9pamVp151hBRu6M9L0gKl0m1TN4aqX76NGugtPq4+caKmBh9URUMf5t6H8ell+S61dVlPV4qm3kYjbEtLjcr3Pka+X6RzW+ULX+GGGtVJAAvuv0t2vnBT0hL8YCOvow3ssmNkRCv9Nj0czXoAnB4a3nMtbifHd+qG33vT7XF1/N+VftYnE7d5Jo56v5rdp0A4Jc40NHDJEudrjQ0ZohzTM1q3dqWmg1yyYueG22VVpJ+lkLfKg1cAZwlj44bncRC0xzYp5GllREv9c28tCRlx3UDlOlssSIdvXSErRKSTN5EfGJaTwwTxPGWIIX9HLKmWnOW3HmVhlcTZKiAfygcpqS+RqrC5vZkqtY3K2G72tlrCbsRkBSIsyi+tqlkrNKgSK6BKtK03rFi9jFj+60fln82Ml1fZJpmi6WhYuW6I9Mruv9336sy8r1TOo9b97XO6/z0Kr80LzOMNfH0DlmKVZdbgxFW2H+neS6PveXVdA5p42WsyxCQIYzxkTs4+pGtZHKtVGbGACjoKjL5Lo+X1FZsmVJLEvekmvbJMMaKZ15v9f4ycb6Hi8rZeSd9/xLEe9fIX70vb6kottGELDutt+6jTHv/MzbPde2LkLvzDd1DHG+WXvrfm+3vM35Nm89wTt97e02b79Pl9f55f3SfNr+fo2fbKzv8TgtODfjgpxTp3HmNC6CnM3y3blKMQvWVfKKBwEuk2tRpO04LcxzZl6SmJ6ksgEvU8p455jnhWlaZNxRC8VZbCv4ljGtktNMSYlaMuOcWOaMMZZcwJhCzpVpWYX3z3iDNbkuKTEtmZQL62a0bdcMtNrIS94Qw0a8dXSzKj8X02Rg2CpLquRSKUUoSaumAVa8tksFq/xf1Y1hye2t9/kPCtN+zDP+d3/3d/mZn/mZH+eu1/ga8Tu/8zv89E//9Ic+jD/WcT2Xnyau5/JPPq7n8tPEVzmXf+zkWmvlu9/9Lre3tz/2zv4aPzpaazw+PvKd73znTE26xk8krufyTzau5/LTxfVc/snG1zmXf+zkeo1rXOMa17jGNb48rtvIa1zjGte4xjXec1yT6zWucY1rXOMa7zmuyfUa17jGNa5xjfcc1+R6jWtc4xrXuMZ7jmtyvcY1rnGNa1zjPcc1uV7jGte4xjWu8Z7jmlyvcY1rXOMa13jPcU2u17jGNa5xjWu85/hjn1x//dd/nb/9t/823/nOdzDG8O///b//0Id0jWv82PGrv/qr/Jk/82fo+56/8lf+Cv/5P//nD31I17jGN4p/8k/+CcYY/sE/+Acf+lDea/yxT67H45Gf+7mf41d/9Vc/9KFc4xrfKP7dv/t3/Mqv/Ar/6B/9I37rt36Ln/u5n+Nv/I2/wQ9+8IMPfWjXuMaPFb/xG7/Bv/yX/5I//+f//Ic+lPcef+yT69/8m3+Tf/yP/zF/5+/8nQ99KNe4xjeKf/pP/yl/7+/9PX75l3+ZP/tn/yz/4l/8C3a7Hf/6X//rD31o17jG147D4cAv/uIv8q/+1b/i+fPnH/pw3nv8sU+u17jGH4dYloXf/M3f5Bd+4Re231lr+YVf+AX+03/6Tx/wyK5xjR8v/q//6//ib/2tv/XWOf3HKb6xWfo1rnGNn3x89tlnlFL41re+9dbvv/Wtb/Hf/tt/+0BHdY1r/Hjxb//tv+W3fuu3+I3f+I0PfSg/sbgm12tc4xrXuMaTxe/8zu/w9//+3+c//sf/SN/3H/pwfmJxTa7XuMb/BvHxxx/jnOP73//+W7///ve/z0/91E99oKO6xjW+fvzmb/4mP/jBD/iLf/Evbr8rpfDrv/7r/PN//s+Z5xnn3Ac8wvcT15nrNa7xv0HEGPlLf+kv8Wu/9mvb72qt/Nqv/Rp/9a/+1Q94ZNe4xteLv/7X/zr/9b/+V377t397+/r5n/95fvEXf5Hf/u3f/mORWOFPQOV6OBz47//9v2///h//43/w27/927x48YKf/dmf/YBHdo1rfL34lV/5FX7pl36Jn//5n+cv/+W/zD/7Z/+M4/HIL//yL3/oQ7vGNb5y3N7e8uf+3J9763f7/Z6PPvroC7//3zn+2CfX//Jf/gt/7a/9te3fv/IrvwLAL/3SL/Fv/s2/+UBHdY1rfP34u3/37/LDH/6Qf/gP/yHf+973+At/4S/wH/7Df/gCyOka17jGhw/TWmsf+iCucY1rXOMa1/jjFNeZ6zWucY1rXOMa7zmuyfUa17jGNa5xjfcc1+R6jWtc4xrXuMZ7jmtyvcY1rnGNa1zjPcc1uV7jGte4xjWu8Z7jmlyvcY1rXOMa13jPcU2u17jGNa5xjWu857gm12tc4xrXuMY13nNck+s1rnGNa1zjGu85rsn1Gte4xjWucY33HNfkeo1rXOMa17jGe45rcr3GNa5xjWtc4z3H/x/VefumEJUg6gAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#show 9 last image from cifar-10 with split_data function\n",
+    "data_train,labels_train,data_test,labels_test=split_data(data,labels)\n",
+    "fig, axes = plt.subplots(3, 3)\n",
+    "fig.subplots_adjust(hspace=0.6, wspace=0.3)\n",
+    "for i, ax in enumerate(axes.flat):\n",
+    "    ax.imshow(data_train[-i].reshape(3, 32, 32).transpose([1, 2, 0]))\n",
+    "    ax.set_xticks([])\n",
+    "    ax.set_yticks([])\n",
+    "    ax.set_xlabel(labels_train[-i])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## K-Nearest Neighbors\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def distance_matrix(X: np.ndarray, Y: np.ndarray):\n",
+    "    # print(X.shape, Y.shape)\n",
+    "    x2 = np.sum(X**2, axis=1, keepdims=True)\n",
+    "    y2 = np.sum(Y**2, axis=1, keepdims=True)\n",
+    "    xy = X.dot(Y.T)\n",
+    "    return np.sqrt(x2 - 2 * xy + y2.T)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[2.82842712 2.        ]\n",
+      " [5.65685425 7.21110255]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Test distance_matrix function\n",
+    "a=np.array([[1,4],[-1,-2]])\n",
+    "b=np.array([[3,2],[3,4]])\n",
+    "print(distance_matrix(a,b))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def knn_predict(dists,labels_train,k):\n",
+    "    #sort dists\n",
+    "    index=np.argsort(dists)\n",
+    "    #find k nearest\n",
+    "    k_nearest=index[:,:k]\n",
+    "    #find labels of k nearest\n",
+    "    k_nearest_labels=labels_train[k_nearest]\n",
+    "    #find most frequent label\n",
+    "    labels=np.zeros(len(dists),dtype=np.int64)\n",
+    "    for i in range(len(dists)):\n",
+    "        labels[i]=np.argmax(np.bincount(k_nearest_labels[i]))\n",
+    "    return labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def evaluate_knn(data_train,labels_train,data_test,labels_test,k):\n",
+    "    dists=distance_matrix(data_train,data_test)\n",
+    "    knn_predict_labels=knn_predict(dists,labels_train,k)\n",
+    "    accuracy=np.mean(knn_predict_labels==labels_test)\n",
+    "    return accuracy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_20664\\815527976.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0maccuracy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mk\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m21\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m     \u001b[0maccuracy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mevaluate_knn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_train\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlabels_train\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdata_test\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlabels_test\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m21\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0maccuracy\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"k\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_20664\\893953837.py\u001b[0m in \u001b[0;36mevaluate_knn\u001b[1;34m(data_train, labels_train, data_test, labels_test, k)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mevaluate_knn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_train\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlabels_train\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdata_test\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlabels_test\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[0mdists\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdistance_matrix\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_train\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdata_test\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0mknn_predict_labels\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mknn_predict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdists\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlabels_train\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[0maccuracy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mknn_predict_labels\u001b[0m\u001b[1;33m==\u001b[0m\u001b[0mlabels_test\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0maccuracy\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_20664\\601010998.py\u001b[0m in \u001b[0;36mknn_predict\u001b[1;34m(dists, labels_train, k)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mknn_predict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdists\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlabels_train\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[1;31m#sort dists\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margsort\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdists\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[1;31m#find k nearest\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mk_nearest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m<__array_function__ internals>\u001b[0m in \u001b[0;36margsort\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
+      "\u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python37\\site-packages\\numpy\\core\\fromnumeric.py\u001b[0m in \u001b[0;36margsort\u001b[1;34m(a, axis, kind, order)\u001b[0m\n\u001b[0;32m   1112\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1113\u001b[0m     \"\"\"\n\u001b[1;32m-> 1114\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0m_wrapfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'argsort'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1115\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1116\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python37\\site-packages\\numpy\\core\\fromnumeric.py\u001b[0m in \u001b[0;36m_wrapfunc\u001b[1;34m(obj, method, *args, **kwds)\u001b[0m\n\u001b[0;32m     55\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     56\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 57\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mbound\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     58\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     59\u001b[0m         \u001b[1;31m# A TypeError occurs if the object does have such a method in its\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "#Test for k=1 to 20 and plot the accuracy\n",
+    "from tqdm import tqdm\n",
+    "accuracy=[]\n",
+    "for k in  tqdm(range(1,21)):\n",
+    "    accuracy.append(evaluate_knn(data_train,labels_train,data_test,labels_test,k))\n",
+    "plt.plot(np.arange(1,21),accuracy)\n",
+    "plt.xlabel(\"k\")\n",
+    "plt.ylabel(\"accuracy\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Neural Network"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "N = 30  # number of input data\n",
+    "d_in = 3  # input dimension\n",
+    "d_h = 3  # number of neurons in the hidden layer\n",
+    "d_out = 2  # output dimension (number of neurons of the output layer)\n",
+    "\n",
+    "# Random initialization of the network weights and biaises\n",
+    "w1 = 2 * np.random.rand(d_in, d_h) - 1  # first layer weights\n",
+    "b1 = np.zeros((1, d_h))  # first layer biaises\n",
+    "w2 = 2 * np.random.rand(d_h, d_out) - 1  # second layer weights\n",
+    "b2 = np.zeros((1, d_out))  # second layer biaises\n",
+    "\n",
+    "data = np.random.rand(N, d_in)  # create a random data\n",
+    "targets = np.random.rand(N, d_out)  # create a random targets\n",
+    "\n",
+    "# Forward pass\n",
+    "a0 = data # the data are the input of the first layer\n",
+    "z1 = np.matmul(a0, w1) + b1  # input of the hidden layer\n",
+    "a1 = 1 / (1 + np.exp(-z1))  # output of the hidden layer (sigmoid activation function)\n",
+    "z2 = np.matmul(a1, w2) + b2  # input of the output layer\n",
+    "a2 = 1 / (1 + np.exp(-z2))  # output of the output layer (sigmoid activation function)\n",
+    "predictions = a2  # the predicted values are the outputs of the output layer\n",
+    "\n",
+    "# Compute loss (MSE)\n",
+    "loss = np.mean(np.square(predictions - targets))\n",
+    "#print(loss)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def learn_once_mse(w1,b1,w2,b2,data,targets,learning_rate):\n",
+    "    #Function returning the updated weights and biased after one learning step and the loss\n",
+    "    #Forward pass\n",
+    "    a0=data # the data are the input of the first layer \n",
+    "    print(\"A\")\n",
+    "    z1=np.matmul(a0,w1)+b1 # input of the hidden layer\n",
+    "    print(\"B\")\n",
+    "    a1=1/(1+np.exp(-z1)) # output of the hidden layer (sigmoid activation function)\n",
+    "    print(\"C\")\n",
+    "    z2=np.matmul(a1,w2)+b2 # input of the output layer\n",
+    "    print(\"D\")\n",
+    "    a2=1/(1+np.exp(-z2)) # output of the output layer (sigmoid activation function)\n",
+    "    print(\"E\")\n",
+    "    predictions=a2 # the predicted values are the outputs of the output layer   \n",
+    "    #Compute loss (MSE)\n",
+    "    loss=np.mean(np.square(predictions-targets))\n",
+    "    #Backward pass\n",
+    "    #Compute gradients\n",
+    "    grad_a2=2*(predictions-targets) # gradient of the loss with respect to the output of the output layer\n",
+    "    grad_z2=grad_a2*a2*(1-a2) # gradient of the loss with respect to the input of the output layer\n",
+    "    grad_w2=np.matmul(a1.T,grad_z2) # gradient of the loss with respect to the weights of the output layer\n",
+    "    grad_b2=np.sum(grad_z2,axis=0) # gradient of the loss with respect to the biaises of the output layer\n",
+    "    grad_a1=np.matmul(grad_z2,w2.T) # gradient of the loss with respect to the output of the hidden layer\n",
+    "    grad_z1=grad_a1*a1*(1-a1) # gradient of the loss with respect to the input of the hidden layer\n",
+    "    grad_w1=np.matmul(a0.T,grad_z1) # gradient of the loss with respect to the weights of the hidden layer\n",
+    "    grad_b1=np.sum(grad_z1,axis=0) # gradient of the loss with respect to the biaises of the hidden layer\n",
+    "    #Update weights and biaises\n",
+    "    w1=w1-learning_rate*grad_w1\n",
+    "    w2=w2-learning_rate*grad_w2\n",
+    "    b1=b1-learning_rate*grad_b1\n",
+    "    b2=b2-learning_rate*grad_b2\n",
+    "    return w1,b1,w2,b2,loss"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def one_hot(labels):\n",
+    "    #print(labels)\n",
+    "    if type(labels)==np.int64:\n",
+    "        labels=np.array([labels])\n",
+    "    res=np.zeros((len(labels),9+1))\n",
+    "    res[np.arange(len(labels)),labels]=1\n",
+    "    return res\n",
+    "#a=np.array([1,2,0])\n",
+    "#one_hot(a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.special as sp\n",
+    "def learn_once_cross_entropy(w1,b1,w2,b2,data,targets,learning_rate,batch_size):\n",
+    "    a0=data # the data are the input of the first layer \n",
+    "    z1=np.matmul(a0,w1)+b1 # input of the hidden layer\n",
+    "    a1=1/(1+np.exp(-z1)) # output of the hidden layer (sigmoid activation function)\n",
+    "    z2=np.matmul(a1,w2)+b2 # input of the output layer\n",
+    "    a2=sp.softmax(z2,axis=1) # output of the output layer (sigmoid activation function)\n",
+    "    predictions=a2 # the predicted values are the outputs of the output layer   \n",
+    "    #Compute loss (MSE)\n",
+    "    predi=a2.argmax(axis=1)\n",
+    "    c=0\n",
+    "    for i in range (len(predi)):\n",
+    "        if predi[i]==targets[i]:\n",
+    "            c+=1\n",
+    "    targets=one_hot(targets)\n",
+    "    \n",
+    "    loss=-np.sum(targets*np.log(predictions+1e-8))/batch_size\n",
+    "    grad_z2=(predictions-targets)/batch_size # gradient of the loss with respect to the input of the output layer\n",
+    "    grad_w2=np.matmul(a1.T,grad_z2) # gradient of the loss with respect to the weights of the output layer\n",
+    "    grad_b2=np.sum(grad_z2,axis=0) # gradient of the loss with respect to the biaises of the output layer\n",
+    "    grad_a1=np.matmul(grad_z2,w2.T) # gradient of the loss with respect to the output of the hidden layer\n",
+    "    grad_z1=grad_a1*a1*(1-a1) # gradient of the loss with respect to the input of the hidden layer\n",
+    "    a0=a0.reshape(-1,batch_size) #reshape data because a0 was (batch_size,) and we wanted (batch_size,1)\n",
+    "    grad_w1=np.matmul(a0,grad_z1) # gradient of the loss with respect to the weights of the hidden layer\n",
+    "    grad_b1=np.sum(grad_z1,axis=0) # gradient of the loss with respect to the biaises of the hidden layer\n",
+    "    #Update weights and biaises\n",
+    "    w1=w1-learning_rate*grad_w1\n",
+    "    w2=w2-learning_rate*grad_w2\n",
+    "    b1=b1-learning_rate*grad_b1\n",
+    "    b2=b2-learning_rate*grad_b2\n",
+    "    #print(\"Gradients\",grad_w1,grad_w2,grad_b1,grad_b2)\n",
+    "    return w1,b1,w2,b2,c/len(predi)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tqdm import tqdm\n",
+    "def train_mlp(w1,b1,w2,b2,data_train,labels_train,learning_rate=0.01,nb_epochs=100,batch_size=1):\n",
+    "    train_accuracies=[]\n",
+    "    for i in range(nb_epochs):\n",
+    "        losses=[]\n",
+    "        for j in tqdm(range(int(len(data_train)/batch_size))):\n",
+    "            w1,b1,w2,b2,loss=learn_once_cross_entropy(w1,b1,w2,b2,data_train[j*batch_size:(j+1)*batch_size],labels_train[j*batch_size:(j+1)*batch_size],learning_rate,batch_size)\n",
+    "            losses.append(loss)\n",
+    "        if len(data_train)%batch_size!=0:\n",
+    "            w1,b1,w2,b2,loss=learn_once_cross_entropy(w1,b1,w2,b2,data_train[j*batch_size:],labels_train[j*batch_size:],learning_rate,len(data_train)%batch_size)\n",
+    "            losses.append(loss)\n",
+    "        print(f\"epoch {i} : loss {sum(losses)/len(losses)}\")\n",
+    "        train_accuracies.append(sum(losses)/len(losses))\n",
+    "    return w1,b1,w2,b2,train_accuracies"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def test_mlp(w1,b1,w2,b2,data_test,labels_test):\n",
+    "    a0=data_test # the data are the input of the first layer \n",
+    "    z1=np.matmul(a0,w1)+b1 # input of the hidden layer\n",
+    "    a1=1/(1+np.exp(-z1)) # output of the hidden layer (sigmoid activation function)\n",
+    "    z2=np.matmul(a1,w2)+b2 # input of the output layer\n",
+    "    a2=sp.softmax(z2) # output of the output layer (sigmoid activation function)\n",
+    "    predictions=a2 # the predicted values are the outputs of the output layer   \n",
+    "    #Compute loss (MSE)\n",
+    "    c=0\n",
+    "    index_predic=a2.argmax(axis=1)\n",
+    "    for i in range(len(index_predic)):\n",
+    "        if index_predic[i]==labels_test[i]:\n",
+    "            c+=1\n",
+    "    return c/len(index_predic)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_mlp_training(data_train,labels_train,data_test,labels_test,dh,learning_rate=0.1,nb_epochs=100,batch_size=200):\n",
+    "    #Initialization of the network weights and biaises\n",
+    "    w1=2*np.random.rand(3072,dh)-1 # first layer weights\n",
+    "    b1=np.zeros((1,dh)) # first layer biaises\n",
+    "    w2=2*np.random.rand(dh,10)-1 # second layer weights\n",
+    "    b2=np.zeros((1,10)) # second layer biaises\n",
+    "    #Training\n",
+    "    w1,b1,w2,b2,train_accuracies=train_mlp(w1,b1,w2,b2,data_train,labels_train,learning_rate,nb_epochs,batch_size)\n",
+    "    #Test\n",
+    "    test_accuracy=test_mlp(w1,b1,w2,b2,data_test,labels_test)\n",
+    "    print(test_accuracy)\n",
+    "    return train_accuracies,test_accuracy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[9 4 4 ... 5 7 8]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(labels_train)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 178.16it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 0 : loss 0.18562962962962967\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 174.35it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 1 : loss 0.21711111111111103\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 153.17it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 2 : loss 0.22848148148148129\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 164.00it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 3 : loss 0.23351851851851865\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 172.90it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 4 : loss 0.23725925925925911\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 172.11it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 5 : loss 0.2389814814814814\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 162.37it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 6 : loss 0.24140740740740738\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 175.12it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 7 : loss 0.24287037037037043\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 158.34it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 8 : loss 0.2444074074074077\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 161.02it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 9 : loss 0.245851851851852\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 159.72it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 10 : loss 0.24679629629629615\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 168.72it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 11 : loss 0.24729629629629624\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 147.26it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 12 : loss 0.25077777777777777\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 143.74it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 13 : loss 0.2511666666666664\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 140.76it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 14 : loss 0.2509814814814813\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 141.12it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 15 : loss 0.25198148148148153\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 138.60it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 16 : loss 0.2524814814814813\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:04<00:00, 134.97it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 17 : loss 0.252314814814815\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 139.73it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 18 : loss 0.2507222222222226\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 142.79it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 19 : loss 0.24883333333333343\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 142.05it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 20 : loss 0.24825925925925926\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 154.58it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 21 : loss 0.24783333333333346\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 153.87it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 22 : loss 0.2477962962962964\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 159.87it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 23 : loss 0.24733333333333307\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 158.56it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 24 : loss 0.2476296296296296\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 157.74it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 25 : loss 0.24801851851851853\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 144.96it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 26 : loss 0.24792592592592602\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 150.66it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 27 : loss 0.2478703703703702\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 162.37it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 28 : loss 0.24840740740740774\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 169.76it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 29 : loss 0.24937037037037035\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 166.54it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 30 : loss 0.24999999999999975\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 167.15it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 31 : loss 0.25016666666666665\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 167.32it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 32 : loss 0.2510555555555555\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 168.13it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 33 : loss 0.2514629629629628\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 169.15it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 34 : loss 0.2513518518518519\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 167.48it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 35 : loss 0.2535555555555555\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 163.84it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 36 : loss 0.2533888888888889\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 168.89it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 37 : loss 0.25444444444444436\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 169.12it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 38 : loss 0.25507407407407384\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 164.87it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 39 : loss 0.25548148148148153\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 168.49it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 40 : loss 0.25622222222222235\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 168.24it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 41 : loss 0.2569629629629633\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 165.53it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 42 : loss 0.2581111111111111\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 167.85it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 43 : loss 0.25853703703703684\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 168.21it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 44 : loss 0.258925925925926\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 167.96it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 45 : loss 0.2603148148148151\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 166.20it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 46 : loss 0.2602592592592594\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 160.59it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch 47 : loss 0.26124074074074116\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 540/540 [00:03<00:00, 153.46it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#print(data.shape,w1.shape,b1.shape,w2.shape,b2.shape)\n",
+    "#print(data_train.shape,labels_train.shape)\n",
+    "    \n",
+    "train_accuracies,test_accuracy=run_mlp_training(data_train,labels_train,data_test,labels_test,64,0.1,100,100)\n",
+    "plt.plot(train_accuracies,label=\"train\")\n",
+    "test_accuracies=[test_accuracy for i in range(len(train_accuracies))]\n",
+    "plt.plot(test_accuracies,label=\"test\")\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def merge_data(data_train,data_test_labels_train,labels_test):\n",
+    "    data=np.concatenate((data_train,data_test),axis=0)\n",
+    "    labels=np.concatenate((labels_train,labels_test),axis=0)\n",
+    "    return data,labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def shuffle_data(data,labels):\n",
+    "    index=np.arange(len(data))\n",
+    "    np.random.shuffle(index)\n",
+    "    data=data[index]\n",
+    "    labels=labels[index]\n",
+    "    return data,labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "def fold_cross_validation(N,data_train,labels_train,data_test,labels_test,dh,learning_rate=0.1,nb_epochs=100,batch_size=200):\n",
+    "    data,labels=merge_data(data_train,data_test,labels_train,labels_test)\n",
+    "    data,labels=shuffle_data(data,labels)\n",
+    "    for i in range (N):\n",
+    "        pass\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\yuihs\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python37\\site-packages\\tqdm\\auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import torch\n",
+    "torch.cuda.is_available()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}